From 89af67390b11ba884d2ae4605b0ff8fc589ce757 Mon Sep 17 00:00:00 2001 From: fereshteh-asg Date: Wed, 27 Apr 2022 16:41:41 +0930 Subject: [PATCH 1/8] final modifications on the notebook --- getting_started/Getting_Started.ipynb | 5497 ++++++++++--------------- 1 file changed, 2219 insertions(+), 3278 deletions(-) diff --git a/getting_started/Getting_Started.ipynb b/getting_started/Getting_Started.ipynb index d0aa8af..6fef627 100644 --- a/getting_started/Getting_Started.ipynb +++ b/getting_started/Getting_Started.ipynb @@ -16,14 +16,17 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import os\n", + "import sys\n", "\n", "import pandas as pd\n", "\n", + "sys.path.append(os.path.abspath(\"../\"))\n", + "\n", "from grid2bench.AgentsAnalytics import AgentsAnalytics as aa\n", "from grid2bench.AgentsAnalytics import AgentsAnalytics\n", "from grid2bench.EpisodesDataTransformer import EpisodesDataTransformer as eps\n", @@ -72,9 +75,16 @@ "### Loading params from the config file" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can load the config parameters by giving the path to the config file at the first place:" + ] + }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 25, "metadata": {}, "outputs": [], "source": [ @@ -83,6 +93,13 @@ "conf = ConfigManager(benchmark_name='Bench5', path=conf_path)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Once the config file is imported correctly, its parameters could be accessed easily as shown below: " + ] + }, { "cell_type": "code", "execution_count": 3, @@ -95,6 +112,23 @@ "episodes_names = conf.get_option_tolist('episodes_names')" ] }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['PPO_Agent', 'Tutor_binbinchen', 'Tutor N-1(200 Actions)_Tutor']\n" + ] + } + ], + "source": [ + "print(agents_names)" + ] + }, { "cell_type": "markdown", "metadata": { @@ -106,9 +140,16 @@ "### Loading all agents results using Agents_Analysis class" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can load all (or a list of selected agents) together in one command. It is important to notice that using this option, all the episodes of the agents are loaded. Due to potential memory problem, it is recommended that you load no more than two agents with all episodes on your local computer. " + ] + }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": { "pycharm": { "name": "#%%\n" @@ -119,22 +160,21 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 24/24 [01:05<00:00, 2.75s/it]\n", - "100%|██████████| 24/24 [00:59<00:00, 2.50s/it]\n", - "100%|██████████| 24/24 [01:22<00:00, 3.43s/it]\n" + "100%|██████████| 24/24 [01:19<00:00, 3.32s/it]\n", + "100%|██████████| 24/24 [01:11<00:00, 2.98s/it]\n" ] } ], "source": [ "agents = AgentsAnalytics(\n", " data_path=input_data_path,\n", - " agents_names= agents_names,\n", + " agents_names= ['PPO_Agent', 'Tutor_binbinchen'], #agents_names,\n", " episodes_names= episodes_names)" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -151,14 +191,14 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "['PPO_Agent', 'Tutor_binbinchen', 'Tutor N-1(200 Actions)_Tutor']\n" + "['PPO_Agent', 'Tutor_binbinchen']\n" ] } ], @@ -168,7 +208,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -176,7 +216,7 @@ "\n", "ppo_agent = agents_results[agents.agents_names.index('PPO_Agent')]\n", "tutor_binbinchen = agents_results[agents.agents_names.index('Tutor_binbinchen')]\n", - "tutor_200_acts = agents_results[agents.agents_names.index('Tutor N-1(200 Actions)_Tutor')]" + "#tutor_200_acts = agents_results[agents.agents_names.index('Tutor N-1(200 Actions)_Tutor')]\n" ] }, { @@ -190,12 +230,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "This function visualize for each agent, the Cumulative reward and accomplished time steps per episode:" + "We can visualize for each agent and for each episode, the Cumulative reward and total accomplished time steps. Function below is an example of cumulative rewards for two agents:" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": { "pycharm": { "name": "#%%\n" @@ -212,30 +252,30 @@ " require.undef(\"plotly\");\n", " define('plotly', function(require, exports, module) {\n", " /**\n", - "* plotly.js v2.9.0\n", - "* Copyright 2012-2022, Plotly, Inc.\n", + "* plotly.js v2.8.3\n", + "* Copyright 2012-2021, Plotly, Inc.\n", "* All rights reserved.\n", "* Licensed under the MIT license\n", "*/\n", - "!function(t){if(\"object\"==typeof exports&&\"undefined\"!=typeof module)module.exports=t();else if(\"function\"==typeof define&&define.amd)define([],t);else{(\"undefined\"!=typeof window?window:\"undefined\"!=typeof global?global:\"undefined\"!=typeof self?self:this).Plotly=t()}}((function(){return function t(e,r,n){function i(o,s){if(!r[o]){if(!e[o]){var l=\"function\"==typeof require&&require;if(!s&&l)return l(o,!0);if(a)return a(o,!0);var c=new Error(\"Cannot find 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Xr=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!Be(e.expression)};Xr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Xr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)};var Zr=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!Be(e.expression),this.interpolationType=n};function Jr(t,e){if(\"error\"===(t=Wr(t,e)).result)return t;var r=t.value.expression,n=Fe(r);if(!n&&!zr(e))return Or([new Dt(\"\",\"data expressions not supported\")]);var i=Ne(r,[\"zoom\"]);if(!i&&!Dr(e))return Or([new Dt(\"\",\"zoom expressions not supported\")]);var a=function t(e){var r=null;if(e instanceof cr)r=t(e.result);else if(e instanceof lr)for(var n=0,i=e.args;nn.maximum?[new Ct(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function en(t){var 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ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2i4\",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn(\"StructArrayLayout4i8\",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i4i12\",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2i4ub8\",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn(\"StructArrayLayout8ui2ub18\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn(\"StructArrayLayout4i4ui4i24\",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn(\"StructArrayLayout3f12\",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1ul4\",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn(\"StructArrayLayout6i1ul2ui20\",Vi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Hi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i2i2i12\",Hi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);qi.prototype.bytesPerElement=16,Nn(\"StructArrayLayout2f1f2i16\",qi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2ub2f12\",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3ui6\",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=g,this.uint32[x+10]=m,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Wi);var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=g,this.uint16[L+15]=m,this.uint16[L+16]=v,this.uint16[L+17]=y,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Xi.prototype.bytesPerElement=68,Nn(\"StructArrayLayout8i15ui1ul4f68\",Xi);var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Pi);Zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1f4\",Zi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3i6\",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn(\"StructArrayLayout1ul2ui8\",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Pi);Qi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2ui4\",Qi);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Pi);$i.prototype.bytesPerElement=2,Nn(\"StructArrayLayout1ui2\",$i);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Pi);ta.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2f8\",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Pi);ea.prototype.bytesPerElement=16,Nn(\"StructArrayLayout4f16\",ea);var ra=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Ci);ra.prototype.size=20;var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ra(this,t)},e}(Vi);Nn(\"CollisionBoxArray\",na);var ia=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Ci);ia.prototype.size=48;var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ia(this,t)},e}(Wi);Nn(\"PlacedSymbolArray\",aa);var oa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return 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V=e[S.fontStack],H=V&&V[L];if(!H)continue;P=H.metrics}C=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=z*S.scale+c):(k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=P.advance*S.scale+c)}if(0!==k.length){var q=h-c;d=Math.max(q,d),Vl(k,0,k.length-1,m,A)}h=0;var G=a*_+A;T.lineOffset=Math.max(A,w),p+=G,g=Math.max(G,g),++v}else p+=a,++v}var Y;var W=p- -17,X=Ul(o),Z=X.horizontalAlign,J=X.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n- -17:(-n*l+.5)*o;for(var f=0,h=t;f=0&&n>=t&&zl[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},Il.prototype.substring=function(t,e){var r=new Il;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},Il.prototype.toString=function(){return this.text},Il.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},Il.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(Pl.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var zl={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},Dl={};function Rl(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*24/a+i:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+i:0}function Fl(t,e,r,n){var i=Math.pow(t-e,2);return n?t=0,f=0,h=0;h-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],c=0;sn;)c-=l.shift().angleDelta;if(c>i)return!1;o++,s+=f.dist(h)}return!0}function Jl(t){for(var e=0,r=0;rc){var d=(c-l)/p,g=qe(f.x,h.x,d),m=qe(f.y,h.y,d),v=new ql(g,m,h.angleTo(f),u);return v._round(),!o||Zl(t,v,s,o,e)?v:void 0}l+=p}}function tc(t,e,r,n,i,a,o,s,l){var c=Kl(n,a,o),u=Ql(n,i),f=u*o,h=0===t[0].x||t[0].x===l||0===t[0].y||t[0].y===l;return e-f=0&&_=0&&w=0&&p+u<=f){var T=new ql(_,w,x,g);T._round(),i&&!Zl(e,T,o,i,a)||d.push(T)}}h+=y}l||d.length||s||(d=t(e,h/2,n,i,a,o,s,!0,c));return d}(t,h?e/2*s%e:(u/2+2*a)*o*s%e,e,c,r,f,h,!1,l)}function ec(t,e,r,n,a){for(var o=[],s=0;s=n&&h.x>=n||(f.x>=n?f=new i(n,f.y+(h.y-f.y)*((n-f.x)/(h.x-f.x)))._round():h.x>=n&&(h=new i(n,f.y+(h.y-f.y)*((n-f.x)/(h.x-f.x)))._round()),f.y>=a&&h.y>=a||(f.y>=a?f=new i(f.x+(h.x-f.x)*((a-f.y)/(h.y-f.y)),a)._round():h.y>=a&&(h=new i(f.x+(h.x-f.x)*((a-f.y)/(h.y-f.y)),a)._round()),c&&f.equals(c[c.length-1])||(c=[f],o.push(c)),c.push(h)))))}return o}function rc(t,e,r,n){var a=[],o=t.image,s=o.pixelRatio,l=o.paddedRect.w-2,c=o.paddedRect.h-2,u=t.right-t.left,f=t.bottom-t.top,h=o.stretchX||[[0,l]],p=o.stretchY||[[0,c]],d=function(t,e){return t+e[1]-e[0]},g=h.reduce(d,0),m=p.reduce(d,0),v=l-g,y=c-m,x=0,b=g,_=0,w=m,T=0,k=v,A=0,M=y;if(o.content&&n){var S=o.content;x=nc(h,0,S[0]),_=nc(p,0,S[1]),b=nc(h,S[0],S[2]),w=nc(p,S[1],S[3]),T=S[0]-x,A=S[1]-_,k=S[2]-S[0]-b,M=S[3]-S[1]-w}var E=function(n,a,l,c){var h=ac(n.stretch-x,b,u,t.left),p=oc(n.fixed-T,k,n.stretch,g),d=ac(a.stretch-_,w,f,t.top),v=oc(a.fixed-A,M,a.stretch,m),y=ac(l.stretch-x,b,u,t.left),S=oc(l.fixed-T,k,l.stretch,g),E=ac(c.stretch-_,w,f,t.top),L=oc(c.fixed-A,M,c.stretch,m),C=new i(h,d),P=new i(y,d),I=new i(y,E),O=new i(h,E),z=new i(p/s,v/s),D=new i(S/s,L/s),R=e*Math.PI/180;if(R){var F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];C._matMult(N),P._matMult(N),O._matMult(N),I._matMult(N)}var j=n.stretch+n.fixed,U=l.stretch+l.fixed,V=a.stretch+a.fixed,H=c.stretch+c.fixed;return{tl:C,tr:P,bl:O,br:I,tex:{x:o.paddedRect.x+1+j,y:o.paddedRect.y+1+V,w:U-j,h:H-V},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:z,pixelOffsetBR:D,minFontScaleX:k/s/u,minFontScaleY:M/s/f,isSDF:r}};if(n&&(o.stretchX||o.stretchY))for(var L=ic(h,v,g),C=ic(p,y,m),P=0;P0&&(d=Math.max(10,d),this.circleDiameter=d)}else{var g=o.top*s-l,m=o.bottom*s+l,v=o.left*s-l,y=o.right*s+l,x=o.collisionPadding;if(x&&(v-=x[0]*s,g-=x[1]*s,y+=x[2]*s,m+=x[3]*s),u){var b=new i(v,g),_=new i(y,g),w=new i(v,m),T=new i(y,m),k=u*Math.PI/180;b._rotate(k),_._rotate(k),w._rotate(k),T._rotate(k),v=Math.min(b.x,_.x,w.x,T.x),y=Math.max(b.x,_.x,w.x,T.x),g=Math.min(b.y,_.y,w.y,T.y),m=Math.max(b.y,_.y,w.y,T.y)}t.emplaceBack(e.x,e.y,v,g,y,m,r,n,a)}this.boxEndIndex=t.length},lc=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=cc),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function cc(t,e){return te?1:0}function uc(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,a=1/0,o=-1/0,s=-1/0,l=t[0],c=0;co)&&(o=u.x),(!c||u.y>s)&&(s=u.y)}var f=o-n,h=s-a,p=Math.min(f,h),d=p/2,g=new lc([],fc);if(0===p)return new i(n,a);for(var m=n;my.d||!y.d)&&(y=b,r&&console.log(\"found best %d after %d probes\",Math.round(1e4*b.d)/1e4,x)),b.max-y.d<=e||(d=b.h/2,g.push(new hc(b.p.x-d,b.p.y-d,d,t)),g.push(new hc(b.p.x+d,b.p.y-d,d,t)),g.push(new hc(b.p.x-d,b.p.y+d,d,t)),g.push(new hc(b.p.x+d,b.p.y+d,d,t)),x+=4)}return r&&(console.log(\"num probes: \"+x),console.log(\"best distance: \"+y.d)),y.p}function fc(t,e){return e.max-t.max}function hc(t,e,r,n){this.p=new i(t,e),this.h=r,this.d=function(t,e){for(var r=!1,n=1/0,i=0;it.y!=u.y>t.y&&t.x<(u.x-c.x)*(t.y-c.y)/(u.y-c.y)+c.x&&(r=!r),n=Math.min(n,ro(t,c,u))}return(r?1:-1)*Math.sqrt(n)}(this.p,n),this.max=this.d+this.h*Math.SQRT2}lc.prototype.push=function(t){this.data.push(t),this.length++,this._up(this.length-1)},lc.prototype.pop=function(){if(0!==this.length){var t=this.data[0],e=this.data.pop();return this.length--,this.length>0&&(this.data[0]=e,this._down(0)),t}},lc.prototype.peek=function(){return this.data[0]},lc.prototype._up=function(t){for(var e=this.data,r=this.compare,n=e[t];t>0;){var i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},lc.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t=0)break;e[t]=o,t=a}e[t]=i};var pc=Number.POSITIVE_INFINITY;function dc(t,e){return e[1]!==pc?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-7;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=7-r}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case\"top-right\":case\"top-left\":n=i-7;break;case\"bottom-right\":case\"bottom-left\":n=7-i;break;case\"bottom\":n=7-e;break;case\"top\":n=e-7}switch(t){case\"top-right\":case\"bottom-right\":r=-i;break;case\"top-left\":case\"bottom-left\":r=i;break;case\"left\":r=e;break;case\"right\":r=-e}return[r,n]}(t,e[0])}function gc(t){switch(t){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function mc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,g){var m=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get(\"text-rotate\").evaluate(o,{})*Math.PI/180,u=[],f=0,h=e.positionedLines;f32640&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'):\"composite\"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},g),128*d.compositeTextSizes[1].evaluate(s,{},g)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'),t.addSymbols(t.text,m,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,g);for(var x=0,b=f;x=0;o--)if(n.dist(a[o])0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new pi(this.zoom),g=0,m=t;g=0;for(var O=0,z=k.sections;O=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l0},Mc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Mc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Mc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Mc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn(\"SymbolBucket\",Mc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({\"symbol-placement\":new wi(Lt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new wi(Lt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new wi(Lt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ti(Lt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new wi(Lt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new wi(Lt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new wi(Lt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new wi(Lt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new wi(Lt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ti(Lt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new wi(Lt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new wi(Lt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ti(Lt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ti(Lt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new wi(Lt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new wi(Lt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ti(Lt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ti(Lt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new wi(Lt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new wi(Lt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new wi(Lt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ti(Lt.layout_symbol[\"text-field\"]),\"text-font\":new Ti(Lt.layout_symbol[\"text-font\"]),\"text-size\":new Ti(Lt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ti(Lt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new wi(Lt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ti(Lt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ti(Lt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ti(Lt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new wi(Lt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ti(Lt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new wi(Lt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new wi(Lt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ti(Lt.layout_symbol[\"text-rotate\"]),\"text-padding\":new wi(Lt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new wi(Lt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ti(Lt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ti(Lt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new wi(Lt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new wi(Lt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new wi(Lt.layout_symbol[\"text-optional\"])}),Ec={paint:new Si({\"icon-opacity\":new Ti(Lt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ti(Lt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ti(Lt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ti(Lt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ti(Lt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new wi(Lt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new wi(Lt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ti(Lt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ti(Lt.paint_symbol[\"text-color\"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ti(Lt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ti(Lt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ti(Lt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new wi(Lt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new wi(Lt.paint_symbol[\"text-translate-anchor\"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn(\"FormatSectionOverride\",Lc,{omit:[\"defaultValue\"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a\",targetMapId:n,sourceMapId:a.mapId})}}},qc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},qc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},qc.prototype.processTask=function(t,e){var r=this;if(\"\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(qn(e.error)):n(null,qn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"\",sourceMapId:r.mapId,error:e?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},qc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Wc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Wc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Wc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: , lat: }, an object {lon: , lat: }, or an array of [, ]\")};var Xc=2*Math.PI*6371008.8;function Zc(t){return Xc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Zc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Zc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Xc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrapt.wrap)&&(this.overscaledZt.overscaledZ)&&(this.canonical.xt.canonical.x)&&this.canonical.y=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),g=0;gn)i=!1;else if(e)if(this.expirationTimeot&&(t.getActor().send(\"enforceCacheSizeLimit\",at),ht=0)},t.clamp=l,t.clearTileCache=function(t){var e=self.caches.delete(\"mapbox-tiles\");t&&e.catch(t).then((function(){return t()}))},t.clipLine=ec,t.clone=function(t){var e=new fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=x,t.clone$2=function(t){var e=new fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=tl,t.config=F,t.create=function(){var t=new fo(16);return fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new fo(9);return fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new fo(4);return fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=Wr,t.createLayout=Ii,t.createStyleLayer=function(t){return\"custom\"===t.type?new Dc(t):new Rc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=qe,t.offscreenCanvasSupported=pt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t},t.parseGlyphPBF=function(t){return new al(t).readFields(Tl,[])},t.pbf=al,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=8192/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if(\"composite\"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;u.compositeTextSizes=[c[\"text-size\"].possiblyEvaluate(new pi(h),o),c[\"text-size\"].possiblyEvaluate(new pi(p),o)]}if(\"composite\"===t.iconSizeData.kind){var d=t.iconSizeData,g=d.minZoom,m=d.maxZoom;u.compositeIconSizes=[c[\"icon-size\"].possiblyEvaluate(new pi(g),o),c[\"icon-size\"].possiblyEvaluate(new pi(m),o)]}u.layoutTextSize=c[\"text-size\"].possiblyEvaluate(new pi(t.zoom+1),o),u.layoutIconSize=c[\"icon-size\"].possiblyEvaluate(new pi(t.zoom+1),o),u.textMaxSize=c[\"text-size\"].possiblyEvaluate(new pi(18));for(var v=24*l.get(\"text-line-height\"),y=\"map\"===l.get(\"text-rotation-alignment\")&&\"point\"!==l.get(\"symbol-placement\"),x=l.get(\"text-keep-upright\"),b=l.get(\"text-size\"),w=function(){var a=k[T],s=l.get(\"text-font\").evaluate(a,{},o).join(\",\"),c=b.evaluate(a,{},o),f=u.layoutTextSize.evaluate(a,{},o),h=u.layoutIconSize.evaluate(a,{},o),p={horizontal:{},vertical:void 0},d=a.text,g=[0,0];if(d){var m=d.toString(),w=24*l.get(\"text-letter-spacing\").evaluate(a,{},o),A=function(t){for(var e=0,r=t;e=8192||f.y<0||f.y>=8192||function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,w,T,k,A){var M,S,E,L,C,P=t.addToLineVertexArray(e,r),I=0,O=0,z=0,D=0,R=-1,F=-1,B={},N=ya(\"\"),j=0,U=0;void 0===s._unevaluatedLayout.getValue(\"text-radial-offset\")?(M=s.layout.get(\"text-offset\").evaluate(b,{},k).map((function(t){return 24*t})),j=M[0],U=M[1]):(j=24*s.layout.get(\"text-radial-offset\").evaluate(b,{},k),U=pc);if(t.allowVerticalPlacement&&n.vertical){var V=s.layout.get(\"text-rotate\").evaluate(b,{},k)+90,H=n.vertical;L=new sc(l,e,c,u,f,H,h,p,d,V),o&&(C=new sc(l,e,c,u,f,o,m,v,d,V))}if(i){var q=s.layout.get(\"icon-rotate\").evaluate(b,{}),G=\"none\"!==s.layout.get(\"icon-text-fit\"),Y=rc(i,q,T,G),W=o?rc(o,q,T,G):void 0;E=new sc(l,e,c,u,f,i,m,v,!1,q),I=4*Y.length;var X=t.iconSizeData,Z=null;\"source\"===X.kind?(Z=[128*s.layout.get(\"icon-size\").evaluate(b,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"icon-size\" is >= 255. Reduce your \"icon-size\".'):\"composite\"===X.kind&&((Z=[128*w.compositeIconSizes[0].evaluate(b,{},k),128*w.compositeIconSizes[1].evaluate(b,{},k)])[0]>32640||Z[1]>32640)&&_(t.layerIds[0]+': Value for \"icon-size\" is >= 255. Reduce your \"icon-size\".'),t.addSymbols(t.icon,Y,Z,x,y,b,!1,e,P.lineStartIndex,P.lineLength,-1,k),R=t.icon.placedSymbolArray.length-1,W&&(O=4*W.length,t.addSymbols(t.icon,W,Z,x,y,b,Cl.vertical,e,P.lineStartIndex,P.lineLength,-1,k),F=t.icon.placedSymbolArray.length-1)}for(var J in n.horizontal){var K=n.horizontal[J];if(!S){N=ya(K.text);var Q=s.layout.get(\"text-rotate\").evaluate(b,{},k);S=new sc(l,e,c,u,f,K,h,p,d,Q)}var $=1===K.positionedLines.length;if(z+=mc(t,e,K,a,s,d,b,g,P,n.vertical?Cl.horizontal:Cl.horizontalOnly,$?Object.keys(n.horizontal):[J],B,R,w,k),$)break}n.vertical&&(D+=mc(t,e,n.vertical,a,s,d,b,g,P,Cl.vertical,[\"vertical\"],B,F,w,k));var tt=S?S.boxStartIndex:t.collisionBoxArray.length,et=S?S.boxEndIndex:t.collisionBoxArray.length,rt=L?L.boxStartIndex:t.collisionBoxArray.length,nt=L?L.boxEndIndex:t.collisionBoxArray.length,it=E?E.boxStartIndex:t.collisionBoxArray.length,at=E?E.boxEndIndex:t.collisionBoxArray.length,ot=C?C.boxStartIndex:t.collisionBoxArray.length,st=C?C.boxEndIndex:t.collisionBoxArray.length,lt=-1,ct=function(t,e){return t&&t.circleDiameter?Math.max(t.circleDiameter,e):e};lt=ct(S,lt),lt=ct(L,lt),lt=ct(E,lt);var ut=(lt=ct(C,lt))>-1?1:0;ut&&(lt*=A/24);t.glyphOffsetArray.length>=Mc.MAX_GLYPHS&&_(\"Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\");void 0!==b.sortKey&&t.addToSortKeyRanges(t.symbolInstances.length,b.sortKey);t.symbolInstances.emplaceBack(e.x,e.y,B.right>=0?B.right:-1,B.center>=0?B.center:-1,B.left>=0?B.left:-1,B.vertical||-1,R,F,N,tt,et,rt,nt,it,at,ot,st,c,z,D,I,O,ut,0,h,j,U,lt)}(t,f,s,r,n,i,h,t.layers[0],t.collisionBoxArray,e.index,e.sourceLayerIndex,t.index,v,w,A,l,x,T,M,d,e,a,c,u,o)};if(\"line\"===S)for(var P=0,I=ec(e.geometry,0,0,8192,8192);P1){var V=$l(U,k,r.vertical||g,n,24,y);V&&C(U,V)}}else if(\"Polygon\"===e.type)for(var H=0,q=hs(e.geometry,0);H=E.maxzoom))if(\"none\"!==E.visibility)o(S,this.zoom,n),(g[E.id]=E.createBucket({index:u.bucketLayerIDs.length,layers:S,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:b,sourceID:this.source})).populate(_,m,this.tileID.canonical),u.bucketLayerIDs.push(S.map((function(t){return t.id})))}}}var L=t.mapObject(m.glyphDependencies,(function(t){return Object.keys(t).map(Number)}));Object.keys(L).length?a.send(\"getGlyphs\",{uid:this.uid,stacks:L},(function(t,e){f||(f=t,h=e,I.call(l))})):h={};var C=Object.keys(m.iconDependencies);C.length?a.send(\"getImages\",{icons:C,source:this.source,tileID:this.tileID,type:\"icons\"},(function(t,e){f||(f=t,p=e,I.call(l))})):p={};var P=Object.keys(m.patternDependencies);function I(){if(f)return s(f);if(h&&p&&d){var e=new i(h),r=new t.ImageAtlas(p,d);for(var a in g){var l=g[a];l instanceof t.SymbolBucket?(o(l.layers,this.zoom,n),t.performSymbolLayout(l,h,e.positions,p,r.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):l.hasPattern&&(l instanceof t.LineBucket||l instanceof t.FillBucket||l instanceof t.FillExtrusionBucket)&&(o(l.layers,this.zoom,n),l.addFeatures(m,this.tileID.canonical,r.patternPositions))}this.status=\"done\",s(null,{buckets:t.values(g).filter((function(t){return!t.isEmpty()})),featureIndex:u,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:e.image,imageAtlas:r,glyphMap:this.returnDependencies?h:null,iconMap:this.returnDependencies?p:null,glyphPositions:this.returnDependencies?e.positions:null})}}P.length?a.send(\"getImages\",{icons:P,source:this.source,tileID:this.tileID,type:\"patterns\"},(function(t,e){f||(f=t,d=e,I.call(l))})):d={},I.call(this)};var l=function(t,e,r,n){this.actor=t,this.layerIndex=e,this.availableImages=r,this.loadVectorData=n||s,this.loading={},this.loaded={}};l.prototype.loadTile=function(e,r){var n=this,i=e.uid;this.loading||(this.loading={});var o=!!(e&&e.request&&e.request.collectResourceTiming)&&new t.RequestPerformance(e.request),s=this.loading[i]=new a(e);s.abort=this.loadVectorData(e,(function(e,a){if(delete n.loading[i],e||!a)return s.status=\"done\",n.loaded[i]=s,r(e);var l=a.rawData,c={};a.expires&&(c.expires=a.expires),a.cacheControl&&(c.cacheControl=a.cacheControl);var u={};if(o){var f=o.finish();f&&(u.resourceTiming=JSON.parse(JSON.stringify(f)))}s.vectorTile=a.vectorTile,s.parse(a.vectorTile,n.layerIndex,n.availableImages,n.actor,(function(e,n){if(e||!n)return r(e);r(null,t.extend({rawTileData:l.slice(0)},n,c,u))})),n.loaded=n.loaded||{},n.loaded[i]=s}))},l.prototype.reloadTile=function(t,e){var r=this,n=this.loaded,i=t.uid,a=this;if(n&&n[i]){var o=n[i];o.showCollisionBoxes=t.showCollisionBoxes;var s=function(t,n){var i=o.reloadCallback;i&&(delete o.reloadCallback,o.parse(o.vectorTile,a.layerIndex,r.availableImages,a.actor,i)),e(t,n)};\"parsing\"===o.status?o.reloadCallback=s:\"done\"===o.status&&(o.vectorTile?o.parse(o.vectorTile,this.layerIndex,this.availableImages,this.actor,s):s())}},l.prototype.abortTile=function(t,e){var r=this.loading,n=t.uid;r&&r[n]&&r[n].abort&&(r[n].abort(),delete r[n]),e()},l.prototype.removeTile=function(t,e){var r=this.loaded,n=t.uid;r&&r[n]&&delete r[n],e()};var c=t.window.ImageBitmap,u=function(){this.loaded={}};u.prototype.loadTile=function(e,r){var n=e.uid,i=e.encoding,a=e.rawImageData,o=c&&a instanceof c?this.getImageData(a):a,s=new t.DEMData(n,o,i);this.loaded=this.loaded||{},this.loaded[n]=s,r(null,s)},u.prototype.getImageData=function(e){this.offscreenCanvas&&this.offscreenCanvasContext||(this.offscreenCanvas=new OffscreenCanvas(e.width,e.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext(\"2d\")),this.offscreenCanvas.width=e.width,this.offscreenCanvas.height=e.height,this.offscreenCanvasContext.drawImage(e,0,0,e.width,e.height);var r=this.offscreenCanvasContext.getImageData(-1,-1,e.width+2,e.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new t.RGBAImage({width:r.width,height:r.height},r.data)},u.prototype.removeTile=function(t){var e=this.loaded,r=t.uid;e&&e[r]&&delete e[r]};var f=function t(e,r){var n,i=e&&e.type;if(\"FeatureCollection\"===i)for(n=0;n=0!=!!e&&t.reverse()}var d=t.vectorTile.VectorTileFeature.prototype.toGeoJSON,g=function(e){this._feature=e,this.extent=t.EXTENT,this.type=e.type,this.properties=e.tags,\"id\"in e&&!isNaN(e.id)&&(this.id=parseInt(e.id,10))};g.prototype.loadGeometry=function(){if(1===this._feature.type){for(var e=[],r=0,n=this._feature.geometry;r>31}function P(t,e){for(var r=t.loadGeometry(),n=t.type,i=0,a=0,o=r.length,s=0;s>1;!function t(e,r,n,i,a,o){for(;a>i;){if(a-i>600){var s=a-i+1,l=n-i+1,c=Math.log(s),u=.5*Math.exp(2*c/3),f=.5*Math.sqrt(c*u*(s-u)/s)*(l-s/2<0?-1:1),h=Math.max(i,Math.floor(n-l*u/s+f)),p=Math.min(a,Math.floor(n+(s-l)*u/s+f));t(e,r,n,h,p,o)}var 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u}(this.ids,this.coords,t,e,r,n,this.nodeSize)},N.prototype.within=function(t,e,r){return function(t,e,r,n,i,a){for(var o=[0,t.length-1,0],s=[],l=i*i;o.length;){var c=o.pop(),u=o.pop(),f=o.pop();if(u-f<=a)for(var h=f;h<=u;h++)R(e[2*h],e[2*h+1],r,n)<=l&&s.push(t[h]);else{var p=Math.floor((f+u)/2),d=e[2*p],g=e[2*p+1];R(d,g,r,n)<=l&&s.push(t[p]);var m=(c+1)%2;(0===c?r-i<=d:n-i<=g)&&(o.push(f),o.push(p-1),o.push(m)),(0===c?r+i>=d:n+i>=g)&&(o.push(p+1),o.push(u),o.push(m))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var j={minZoom:0,maxZoom:16,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},U=function(t){this.options=X(Object.create(j),t),this.trees=new Array(this.options.maxZoom+1)};function V(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function H(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:W(i),zoom:1/0,index:e,parentId:-1}}function q(t){return{type:\"Feature\",id:t.id,properties:G(t),geometry:{type:\"Point\",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function G(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+\"k\":e>=1e3?Math.round(e/100)/10+\"k\":e;return X(X({},t.properties),{cluster:!0,cluster_id:t.id,point_count:e,point_count_abbreviated:r})}function Y(t){return t/360+.5}function W(t){var e=Math.sin(t*Math.PI/180),r=.5-.25*Math.log((1+e)/(1-e))/Math.PI;return r<0?0:r>1?1:r}function X(t,e){for(var r in e)t[r]=e[r];return t}function Z(t){return t.x}function J(t){return t.y}function K(t,e,r,n,i,a){var o=i-r,s=a-n;if(0!==o||0!==s){var l=((t-r)*o+(e-n)*s)/(o*o+s*s);l>1?(r=i,n=a):l>0&&(r+=o*l,n+=s*l)}return(o=t-r)*o+(s=e-n)*s}function Q(t,e,r,n){var i={id:void 0===t?null:t,type:e,geometry:r,tags:n,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};return function(t){var e=t.geometry,r=t.type;if(\"Point\"===r||\"MultiPoint\"===r||\"LineString\"===r)$(t,e);else if(\"Polygon\"===r||\"MultiLineString\"===r)for(var n=0;n0&&(o+=n?(i*c-l*a)/2:Math.sqrt(Math.pow(l-i,2)+Math.pow(c-a,2))),i=l,a=c}var u=e.length-3;e[2]=1,function t(e,r,n,i){for(var a,o=i,s=n-r>>1,l=n-r,c=e[r],u=e[r+1],f=e[n],h=e[n+1],p=r+3;po)a=p,o=d;else if(d===o){var g=Math.abs(p-s);gi&&(a-r>3&&t(e,r,a,i),e[a+2]=o,n-a>3&&t(e,a,n,i))}(e,0,u,r),e[u+2]=1,e.size=Math.abs(o),e.start=0,e.end=e.size}function nt(t,e,r,n){for(var i=0;i1?1:r}function ot(t,e,r,n,i,a,o,s){if(n/=e,a>=(r/=e)&&o=n)return null;for(var l=[],c=0;c=r&&d=n)){var g=[];if(\"Point\"===h||\"MultiPoint\"===h)st(f,g,r,n,i);else if(\"LineString\"===h)lt(f,g,r,n,i,!1,s.lineMetrics);else if(\"MultiLineString\"===h)ut(f,g,r,n,i,!1);else if(\"Polygon\"===h)ut(f,g,r,n,i,!0);else if(\"MultiPolygon\"===h)for(var m=0;m=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function lt(t,e,r,n,i,a,o){for(var s,l,c=ct(t),u=0===i?ht:pt,f=t.start,h=0;hr&&(l=u(c,p,d,m,v,r),o&&(c.start=f+s*l)):y>n?x=r&&(l=u(c,p,d,m,v,r),b=!0),x>n&&y<=n&&(l=u(c,p,d,m,v,n),b=!0),!a&&b&&(o&&(c.end=f+s*l),e.push(c),c=ct(t)),o&&(f+=s)}var _=t.length-3;p=t[_],d=t[_+1],g=t[_+2],(y=0===i?p:d)>=r&&y<=n&&ft(c,p,d,g),_=c.length-3,a&&_>=3&&(c[_]!==c[0]||c[_+1]!==c[1])&&ft(c,c[0],c[1],c[2]),c.length&&e.push(c)}function ct(t){var e=[];return e.size=t.size,e.start=t.start,e.end=t.end,e}function ut(t,e,r,n,i,a){for(var o=0;oo.maxX&&(o.maxX=u),f>o.maxY&&(o.maxY=f)}return o}function xt(t,e,r,n){var i=e.geometry,a=e.type,o=[];if(\"Point\"===a||\"MultiPoint\"===a)for(var s=0;s0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;lo)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n0===e)for(n=0,i=t.length;n24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new N(s,Z,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},U.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(Y(r),W(a),Y(i),W(n));u1?this._map(c,!0):null,m=(l<<5)+(e+1)+this.points.length,v=0,y=f;v>5},U.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},U.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},_t.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},_t.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<1&&console.time(\"creation\"),h=this.tiles[f]=yt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<1&&console.time(\"clipping\");var g,m,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;g=m=v=y=null,x=ot(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=ot(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(g=ot(x,u,n-_,n+T,1,h.minY,h.maxY,l),m=ot(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=ot(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=ot(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(g||[],e+1,2*r,2*n),s.push(m||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},_t.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[wt(c,u,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?mt(this.tiles[s],i):null):null};var kt=function(e){function r(t,r,n,i){e.call(this,t,r,n,Tt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var g=n-Math.abs(d);p=Math.sqrt(h*h+g*g)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o=n&&e.x=i&&e.y0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+10&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;or.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];tthis.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},N.prototype.has=function(t){return t.wrapped().key in this.data},N.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},N.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},N.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},N.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},N.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},N.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},N.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);fthis._source.maxzoom){var m=d.children(this._source.maxzoom)[0],v=this.getTile(m);if(v&&v.hasData()){n[m.key]=m;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,g=0,m=c;g=0&&v[1].y+m>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Ot(){return new t.window.Worker(Zi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,m=!1,v=0;vMath.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.yn.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var g,m=r/24,v=e.lineOffsetX*m,y=e.lineOffsetY*m;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(m,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var A=ae(e.writingMode,T,k,d);if(A)return A}g=[w.first];for(var M=e.glyphStartIndex+1;M0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(m*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};g=[O]}for(var z=0,D=g;z0?1:-1,g=0;i&&(d*=-1,g=Math.PI),d<0&&(g+=Math.PI);for(var m=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((m+=d)=c)return null;if(y=v,w.push(v),void 0===(v=h[m])){var T=new t.Point(u.getx(m),u.gety(m)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[m]=k.point;else{var A=m-d;v=se(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var M=(_-x)/b,S=v.sub(y),E=S.mult(M)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=g+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Kt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[i];if(null!==g)for(var m=this.circles,v=0,y=g;vo*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r=1;P--)C.push(E.path[P]);for(var I=1;I0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.xM.x||F.yM.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t=0&&e0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(g=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:m,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:g},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,g=a.collisionGroup,m=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),A=x&&(y||!o.hasTextData()||m);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new me(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d=N.length,k=i.attemptAnchorPlacement(m,t,a,s,c,b,_,f,l,g,v,e,o,n,u);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,g.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,g.predicate,X,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,g.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(I=Z(a.verticalIconBox)).box.length>0:(I=Z(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=m||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,g.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,g.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,g.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,g.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var A=w?Ie:T;d(e.text,l,A);var M=v.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[g];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},m=0;mt},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;nt.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,g=l.stretchX,m=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:g,stretchY:m,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s=0;d--){var g=this._order[d];if(r(g))for(var m=i.length-1;m>=0;m--){var v=i[m].feature;if(n[v.layer.id] 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),tr=yr(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),er=yr(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),rr=yr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),nr=yr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ir=yr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ar=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),or=yr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),sr=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),lr=yr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),cr=yr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),ur=yr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),fr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),hr=yr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),pr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),dr=yr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),gr=yr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),mr=yr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),vr=yr(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function yr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+a+\" = a_\"+a+\";\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Xe,circle:Ze,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:gr,symbolSDF:mr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g){var m,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(m={},m[v.LINES]=2,m[v.TRIANGLES]=3,m[v.LINE_STRIP]=1,m)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=pe(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=pe(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Pr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Or=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:pe(e,1,r),u_intensity:n}};function Dr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Rr=function(e,r,n){var i=e.transform;return{u_matrix:Ur(e,r,n),u_ratio:1/pe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n){return t.extend(Rr(e,r,n),{u_image:0})},Br=function(e,r,n,i){var a=e.transform,o=jr(r,a);return{u_matrix:Ur(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/pe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Nr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=jr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Vr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Hr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Hr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var qr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Xr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Zr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Jr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,m),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M=0&&(g[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function gn(t){var e=t.transform.padding;mn(t,t.transform.height-(e.top||0),3,un),mn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function mn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=At.disabled,c=Mt.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,g=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,m=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(m+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,m+\" \"+p+\"kb\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,g),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var bn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Mt.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,f=0,h=e;f256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(At.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Mt({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Mt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer0?e.pop():null},_n.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},_n.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},_n.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},_n.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;fthis.max[l]-this.min[l])return 0}return 1};var kn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};kn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},kn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var An=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Mn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};An.prototype.clone=function(){var t=new An(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Mn.minZoom.get=function(){return this._minZoom},Mn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Mn.maxZoom.get=function(){return this._maxZoom},Mn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Mn.minPitch.get=function(){return this._minPitch},Mn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Mn.maxPitch.get=function(){return this._maxPitch},Mn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Mn.renderWorldCopies.get=function(){return this._renderWorldCopies},Mn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Mn.worldSize.get=function(){return this.tileSize*this.scale},Mn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Mn.size.get=function(){return new t.Point(this.width,this.height)},Mn.bearing.get=function(){return-this.angle/Math.PI*180},Mn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Mn.pitch.get=function(){return this._pitch/Math.PI*180},Mn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Mn.fov.get=function(){return this._fov/Math.PI*180},Mn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Mn.zoom.get=function(){return this._zoom},Mn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Mn.center.get=function(){return this._center},Mn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Mn.padding.get=function(){return this._edgeInsets.toJSON()},Mn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Mn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},An.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},An.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},An.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},An.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},An.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&re.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var g=u.pop(),m=g.x,v=g.y,y=g.fullyVisible;if(!y){var x=g.aabb.intersects(s);if(0===x)continue;y=2===x}var b=g.aabb.distanceX(o),_=g.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<T&&g.zoom>=l)f.push({tileID:new t.OverscaledTileID(g.zoom===h?p:g.zoom,g.wrap,g.zoom,m,v),distanceSq:t.sqrLen([o[0]-.5-m,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(m<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:g.aabb.quadrant(k),zoom:g.zoom+1,x:A,y:M,wrap:g.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},An.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Mn.unmodified.get=function(){return this._unmodified},An.prototype.zoomScale=function(t){return Math.pow(2,t)},An.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},An.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},An.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Mn.point.get=function(){return this.project(this.center)},An.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},An.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},An.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},An.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},An.prototype.coordinateLocation=function(t){return t.toLngLat()},An.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},An.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},An.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},An.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},An.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},An.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},An.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},An.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-ao&&(i=o-m)}if(this.lngRange){var v=p.x,y=c.x/2;v-yl&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},An.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),g=Math.sin(this.angle),m=s-Math.round(s)+d*h+g*p,v=l-Math.round(l)+d*p+g*h,y=new Float64Array(f);if(t.translate(y,y,[m>.5?m-1:m,v>.5?v-1:v,0]),this.alignedProjMatrix=y,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},An.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;nthis.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n30)&&(this.aborted=!0)}}},Hn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Gn=function(){this._zoomIn=new qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(sMath.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},li.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new qn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var gi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},mi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;aa?Math.min(2,_):Math.max(.5,_),w=Math.pow(m,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(g));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),g=t.Point.convert(e.offset),m=a.centerPoint.add(g),v=a.pointLocation(m),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=Te.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),m=a.centerPoint.add(g));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,m),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};bi.prototype.getDefaultPosition=function(){return\"bottom-right\"},bi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},bi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},bi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var _i=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};_i.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return\"bottom-left\"},_i.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},_i.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t){if(t[e].getSource().mapbox_logo)return!0}return!1}},_i.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;re.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new An(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ai))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new yi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Rn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ii.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ii.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)e.getEast()||r.latitudee.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ni--,ji=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Vi={maxWidth:100,unit:\"metric\"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\"));else Gi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else if(r&&\"nautical\"===r.unit){Gi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Gi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(\"\"+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\" \"+n}Hi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(this._map,this._container,this.options)};var Yi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Yi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Wi={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Xi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"×\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,\"top-left\":i,\"top-right\":i,bottom:i,\"bottom-left\":i,\"bottom-right\":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.ythis._map.transform.height-u?[\"bottom\"]:[],a.xthis._map.transform.width-c/2&&l.push(\"right\"),o=0===l.length?\"bottom\":l.join(\"-\")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+\" translate(\"+f.x+\"px,\"+f.y+\"px)\"),Di(this._container,o,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Zi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:Hi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Zi})),r}))},{}],240:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],241:[function(t,e,r){\"use strict\";e.exports=function(t,e){e||(e=t,t=window);var r=0,i=0,a=0,o={shift:!1,alt:!1,control:!1,meta:!1},s=!1;function l(t){var e=!1;return\"altKey\"in t&&(e=e||t.altKey!==o.alt,o.alt=!!t.altKey),\"shiftKey\"in t&&(e=e||t.shiftKey!==o.shift,o.shift=!!t.shiftKey),\"ctrlKey\"in t&&(e=e||t.ctrlKey!==o.control,o.control=!!t.ctrlKey),\"metaKey\"in t&&(e=e||t.metaKey!==o.meta,o.meta=!!t.metaKey),e}function c(t,s){var c=n.x(s),u=n.y(s);\"buttons\"in s&&(t=0|s.buttons),(t!==r||c!==i||u!==a||l(s))&&(r=0|t,i=c||0,a=u||0,e&&e(r,i,a,o))}function u(t){c(0,t)}function f(){(r||i||a||o.shift||o.alt||o.meta||o.control)&&(i=a=0,r=0,o.shift=o.alt=o.control=o.meta=!1,e&&e(0,0,0,o))}function h(t){l(t)&&e&&e(r,i,a,o)}function p(t){0===n.buttons(t)?c(0,t):c(r,t)}function d(t){c(r|n.buttons(t),t)}function g(t){c(r&~n.buttons(t),t)}function m(){s||(s=!0,t.addEventListener(\"mousemove\",p),t.addEventListener(\"mousedown\",d),t.addEventListener(\"mouseup\",g),t.addEventListener(\"mouseleave\",u),t.addEventListener(\"mouseenter\",u),t.addEventListener(\"mouseout\",u),t.addEventListener(\"mouseover\",u),t.addEventListener(\"blur\",f),t.addEventListener(\"keyup\",h),t.addEventListener(\"keydown\",h),t.addEventListener(\"keypress\",h),t!==window&&(window.addEventListener(\"blur\",f),window.addEventListener(\"keyup\",h),window.addEventListener(\"keydown\",h),window.addEventListener(\"keypress\",h)))}m();var v={element:t};return Object.defineProperties(v,{enabled:{get:function(){return s},set:function(e){e?m():function(){if(!s)return;s=!1,t.removeEventListener(\"mousemove\",p),t.removeEventListener(\"mousedown\",d),t.removeEventListener(\"mouseup\",g),t.removeEventListener(\"mouseleave\",u),t.removeEventListener(\"mouseenter\",u),t.removeEventListener(\"mouseout\",u),t.removeEventListener(\"mouseover\",u),t.removeEventListener(\"blur\",f),t.removeEventListener(\"keyup\",h),t.removeEventListener(\"keydown\",h),t.removeEventListener(\"keypress\",h),t!==window&&(window.removeEventListener(\"blur\",f),window.removeEventListener(\"keyup\",h),window.removeEventListener(\"keydown\",h),window.removeEventListener(\"keypress\",h))}()},enumerable:!0},buttons:{get:function(){return r},enumerable:!0},x:{get:function(){return i},enumerable:!0},y:{get:function(){return a},enumerable:!0},mods:{get:function(){return o},enumerable:!0}}),v};var n=t(\"mouse-event\")},{\"mouse-event\":243}],242:[function(t,e,r){var n={left:0,top:0};e.exports=function(t,e,r){e=e||t.currentTarget||t.srcElement,Array.isArray(r)||(r=[0,0]);var i=t.clientX||0,a=t.clientY||0,o=(s=e,s===window||s===document||s===document.body?n:s.getBoundingClientRect());var s;return r[0]=i-o.left,r[1]=a-o.top,r}},{}],243:[function(t,e,r){\"use strict\";function n(t){return t.target||t.srcElement||window}r.buttons=function(t){if(\"object\"==typeof t){if(\"buttons\"in t)return t.buttons;if(\"which\"in t){if(2===(e=t.which))return 4;if(3===e)return 2;if(e>0)return 1<=0)return 1<2147483647)throw new RangeError('The value \"'+t+'\" is invalid for option \"size\"');var e=new Uint8Array(t);return e.__proto__=a.prototype,e}function a(t,e,r){if(\"number\"==typeof t){if(\"string\"==typeof e)throw new TypeError('The \"string\" argument must be of type string. 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Xr=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!Be(e.expression)};Xr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Xr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)};var Zr=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!Be(e.expression),this.interpolationType=n};function Jr(t,e){if(\"error\"===(t=Wr(t,e)).result)return t;var r=t.value.expression,n=Fe(r);if(!n&&!zr(e))return Or([new Dt(\"\",\"data expressions not supported\")]);var i=Ne(r,[\"zoom\"]);if(!i&&!Dr(e))return Or([new Dt(\"\",\"zoom expressions not supported\")]);var a=function t(e){var r=null;if(e instanceof cr)r=t(e.result);else if(e instanceof lr)for(var n=0,i=e.args;nn.maximum?[new Ct(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function en(t){var 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t.length<=1?\"any\"!==r:\"==\"===r?un(t[1],t[2],\"==\"):\"!=\"===r?pn(un(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?un(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(cn))):\"all\"===r?[\"all\"].concat(t.slice(1).map(cn)):\"none\"===r?[\"all\"].concat(t.slice(1).map(cn).map(pn)):\"in\"===r?fn(t[1],t.slice(2)):\"!in\"===r?pn(fn(t[1],t.slice(2))):\"has\"===r?hn(t[1]):\"!has\"===r?pn(hn(t[1])):\"within\"!==r||t}function un(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function fn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(ln)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function hn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function pn(t){return[\"!\",t]}function dn(t){return an(zt(t.value))?rn(It({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==Fr(r))return[new Ct(n,r,\"array expected, \"+Fr(r)+\" found\")];var i,a=e.styleSpec,o=[];if(r.length<1)return[new Ct(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat(nn({key:n+\"[0]\",value:r[0],valueSpec:a.filter_operator,style:e.style,styleSpec:e.styleSpec})),Ot(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Ot(r[1])&&o.push(new Ct(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new Ct(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(i=Fr(r[1]))&&o.push(new Ct(n+\"[1]\",r[1],\"string expected, \"+i+\" 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Qn(t,e){return!(!e&&Kn(t))&&!(t>=2304&&t<=3583||t>=3840&&t<=4255||Yn.Khmer(t))}function $n(t){for(var e=0,r=t;e-1&&(ai=ni),ii&&ii(t)};function li(){ci.fire(new Mt(\"pluginStateChange\",{pluginStatus:ai,pluginURL:oi}))}var ci=new Et,ui=function(){return ai},fi=function(){if(ai!==ti||!oi)throw new Error(\"rtl-text-plugin cannot be downloaded unless a pluginURL is specified\");ai=ei,li(),oi&&xt({url:oi},(function(t){t?si(t):(ai=ri,li())}))},hi={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return ai===ri||null!=hi.applyArabicShaping},isLoading:function(){return ai===ei},setState:function(t){ai=t.pluginStatus,oi=t.pluginURL},isParsed:function(){return null!=hi.applyArabicShaping&&null!=hi.processBidirectionalText&&null!=hi.processStyledBidirectionalText},getPluginURL:function(){return 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x(this._values[t].transition)},gi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new mi(this._values[t].property)),this._values[t].transition=x(e)||void 0},gi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);ethis.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var yi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};yi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);in.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ti),Ai=function(t){this.specification=t};Ai.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new pi(Math.floor(e.zoom),e)),t.expression.evaluate(new pi(Math.floor(e.zoom+1),e)),e)}},Ai.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Ai.prototype.interpolate=function(t){return t};var Mi=function(t){this.specification=t};Mi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Mi.prototype.interpolate=function(){return!1};var Si=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new mi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Nn(\"DataDrivenProperty\",Ti),Nn(\"DataConstantProperty\",wi),Nn(\"CrossFadedDataDrivenProperty\",ki),Nn(\"CrossFadedProperty\",Ai),Nn(\"ColorRampProperty\",Mi);var Ei=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(e=e,this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new xi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new gi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new _i(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(In,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return g(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Pn,n,t,e,r))return!1}if(g(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t=this.maxzoom)||\"none\"===this.visibility)},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&On(this,t.call(Ln,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Lt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof bi&&zr(e.property.specification)&&((\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent))return!0}return!1},e}(Et),Li={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ci=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Pi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ii(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Li[i].BYTES_PER_ELEMENT),o=r=Oi(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:Oi(r,Math.max(n,e)),alignment:e}}function Oi(t,e){return Math.ceil(t/e)*e}Pi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Pi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Pi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Pi.prototype.clear=function(){this.length=0},Pi.prototype.resize=function(t){this.reserve(t),this.length=t},Pi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2i4\",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn(\"StructArrayLayout4i8\",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i4i12\",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2i4ub8\",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn(\"StructArrayLayout8ui2ub18\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn(\"StructArrayLayout4i4ui4i24\",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn(\"StructArrayLayout3f12\",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1ul4\",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn(\"StructArrayLayout6i1ul2ui20\",Vi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Hi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i2i2i12\",Hi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);qi.prototype.bytesPerElement=16,Nn(\"StructArrayLayout2f1f2i16\",qi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2ub2f12\",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3ui6\",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=m,this.uint32[x+10]=g,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Wi);var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=m,this.uint16[L+15]=g,this.uint16[L+16]=v,this.uint16[L+17]=y,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Xi.prototype.bytesPerElement=68,Nn(\"StructArrayLayout8i15ui1ul4f68\",Xi);var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Pi);Zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1f4\",Zi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3i6\",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn(\"StructArrayLayout1ul2ui8\",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new 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j=u.add(d.sub(u)._mult(f/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,g,0,0,h),u=j}}}}},qs.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>Hs/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},qs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),i?this.e2=u:this.e1=u},qs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Hs-1):this.distance},qs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Nn(\"LineBucket\",qs,{omit:[\"layers\",\"patternFeatures\"]});var Gs=new Si({\"line-cap\":new wi(Lt.layout_line[\"line-cap\"]),\"line-join\":new Ti(Lt.layout_line[\"line-join\"]),\"line-miter-limit\":new wi(Lt.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new wi(Lt.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Ti(Lt.layout_line[\"line-sort-key\"])}),Ys={paint:new Si({\"line-opacity\":new Ti(Lt.paint_line[\"line-opacity\"]),\"line-color\":new Ti(Lt.paint_line[\"line-color\"]),\"line-translate\":new wi(Lt.paint_line[\"line-translate\"]),\"line-translate-anchor\":new wi(Lt.paint_line[\"line-translate-anchor\"]),\"line-width\":new Ti(Lt.paint_line[\"line-width\"]),\"line-gap-width\":new Ti(Lt.paint_line[\"line-gap-width\"]),\"line-offset\":new Ti(Lt.paint_line[\"line-offset\"]),\"line-blur\":new Ti(Lt.paint_line[\"line-blur\"]),\"line-dasharray\":new Ai(Lt.paint_line[\"line-dasharray\"]),\"line-pattern\":new ki(Lt.paint_line[\"line-pattern\"]),\"line-gradient\":new Mi(Lt.paint_line[\"line-gradient\"])}),layout:Gs},Ws=new(function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=u({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ti))(Ys.paint.properties[\"line-width\"].specification);Ws.useIntegerZoom=!0;var Xs=function(t){function e(e){t.call(this,e,Ys)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var t=this._transitionablePaint._values[\"line-gradient\"].value.expression;this.gradient=Co(t,\"lineProgress\"),this.gradientTexture=null},e.prototype.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r),this.paint._values[\"line-floorwidth\"]=Ws.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,e)},e.prototype.createBucket=function(t){return new qs(t)},e.prototype.queryRadius=function(t){var e=t,r=Zs(oo(\"line-width\",this,e),oo(\"line-gap-width\",this,e)),n=oo(\"line-offset\",this,e);return r/2+Math.abs(n)+so(this.paint.get(\"line-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s){var l=lo(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),c=s/2*Zs(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),u=this.paint.get(\"line-offset\").evaluate(e,r);return u&&(n=function(t,e){for(var r=[],n=new i(0,0),a=0;a=3)for(var a=0;a0?e+2*t:t}var Js=Ii([{name:\"a_pos_offset\",components:4,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint16\"},{name:\"a_pixeloffset\",components:4,type:\"Int16\"}],4),Ks=Ii([{name:\"a_projected_pos\",components:3,type:\"Float32\"}],4),Qs=(Ii([{name:\"a_fade_opacity\",components:1,type:\"Uint32\"}],4),Ii([{name:\"a_placed\",components:2,type:\"Uint8\"},{name:\"a_shift\",components:2,type:\"Float32\"}])),$s=(Ii([{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Int16\",name:\"x1\"},{type:\"Int16\",name:\"y1\"},{type:\"Int16\",name:\"x2\"},{type:\"Int16\",name:\"y2\"},{type:\"Uint32\",name:\"featureIndex\"},{type:\"Uint16\",name:\"sourceLayerIndex\"},{type:\"Uint16\",name:\"bucketIndex\"}]),Ii([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_anchor_pos\",components:2,type:\"Int16\"},{name:\"a_extrude\",components:2,type:\"Int16\"}],4)),tl=Ii([{name:\"a_pos\",components:2,type:\"Float32\"},{name:\"a_radius\",components:1,type:\"Float32\"},{name:\"a_flags\",components:2,type:\"Int16\"}],4);Ii([{name:\"triangle\",components:3,type:\"Uint16\"}]),Ii([{type:\"Int16\",name:\"anchorX\"},{type:\"Int16\",name:\"anchorY\"},{type:\"Uint16\",name:\"glyphStartIndex\"},{type:\"Uint16\",name:\"numGlyphs\"},{type:\"Uint32\",name:\"vertexStartIndex\"},{type:\"Uint32\",name:\"lineStartIndex\"},{type:\"Uint32\",name:\"lineLength\"},{type:\"Uint16\",name:\"segment\"},{type:\"Uint16\",name:\"lowerSize\"},{type:\"Uint16\",name:\"upperSize\"},{type:\"Float32\",name:\"lineOffsetX\"},{type:\"Float32\",name:\"lineOffsetY\"},{type:\"Uint8\",name:\"writingMode\"},{type:\"Uint8\",name:\"placedOrientation\"},{type:\"Uint8\",name:\"hidden\"},{type:\"Uint32\",name:\"crossTileID\"},{type:\"Int16\",name:\"associatedIconIndex\"}]),Ii([{type:\"Int16\",name:\"anchorX\"},{type:\"Int16\",name:\"anchorY\"},{type:\"Int16\",name:\"rightJustifiedTextSymbolIndex\"},{type:\"Int16\",name:\"centerJustifiedTextSymbolIndex\"},{type:\"Int16\",name:\"leftJustifiedTextSymbolIndex\"},{type:\"Int16\",name:\"verticalPlacedTextSymbolIndex\"},{type:\"Int16\",name:\"placedIconSymbolIndex\"},{type:\"Int16\",name:\"verticalPlacedIconSymbolIndex\"},{type:\"Uint16\",name:\"key\"},{type:\"Uint16\",name:\"textBoxStartIndex\"},{type:\"Uint16\",name:\"textBoxEndIndex\"},{type:\"Uint16\",name:\"verticalTextBoxStartIndex\"},{type:\"Uint16\",name:\"verticalTextBoxEndIndex\"},{type:\"Uint16\",name:\"iconBoxStartIndex\"},{type:\"Uint16\",name:\"iconBoxEndIndex\"},{type:\"Uint16\",name:\"verticalIconBoxStartIndex\"},{type:\"Uint16\",name:\"verticalIconBoxEndIndex\"},{type:\"Uint16\",name:\"featureIndex\"},{type:\"Uint16\",name:\"numHorizontalGlyphVertices\"},{type:\"Uint16\",name:\"numVerticalGlyphVertices\"},{type:\"Uint16\",name:\"numIconVertices\"},{type:\"Uint16\",name:\"numVerticalIconVertices\"},{type:\"Uint16\",name:\"useRuntimeCollisionCircles\"},{type:\"Uint32\",name:\"crossTileID\"},{type:\"Float32\",name:\"textBoxScale\"},{type:\"Float32\",components:2,name:\"textOffset\"},{type:\"Float32\",name:\"collisionCircleDiameter\"}]),Ii([{type:\"Float32\",name:\"offsetX\"}]),Ii([{type:\"Int16\",name:\"x\"},{type:\"Int16\",name:\"y\"},{type:\"Int16\",name:\"tileUnitDistanceFromAnchor\"}]);function el(t,e,r){return t.sections.forEach((function(t){t.text=function(t,e,r){var n=e.layout.get(\"text-transform\").evaluate(r,{});return\"uppercase\"===n?t=t.toLocaleUpperCase():\"lowercase\"===n&&(t=t.toLocaleLowerCase()),hi.applyArabicShaping&&(t=hi.applyArabicShaping(t)),t}(t.text,e,r)})),t}var 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nl=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<>1,u=-7,f=r?i-1:0,h=r?-1:1,p=t[e+f];for(f+=h,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+f],f+=h,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+f],f+=h,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},il=function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<>1,h=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,m=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+f>=1?h/l:h*Math.pow(2,1-f))*l>=2&&(o++,l/=2),o+f>=u?(s=0,o=u):o+f>=1?(s=(e*l-1)*Math.pow(2,i),o+=f):(s=e*Math.pow(2,f-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*m},al=ol;function ol(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new Uint8Array(t||0),this.pos=0,this.type=0,this.length=this.buf.length}ol.Varint=0,ol.Fixed64=1,ol.Bytes=2,ol.Fixed32=5;var sl=\"undefined\"==typeof TextDecoder?null:new TextDecoder(\"utf8\");function ll(t){return t.type===ol.Bytes?t.readVarint()+t.pos:t.pos+1}function cl(t,e,r){return r?4294967296*e+(t>>>0):4294967296*(e>>>0)+(t>>>0)}function ul(t,e,r){var n=e<=16383?1:e<=2097151?2:e<=268435455?3:Math.floor(Math.log(e)/(7*Math.LN2));r.realloc(n);for(var i=r.pos-1;i>=t;i--)r.buf[i+n]=r.buf[i]}function fl(t,e){for(var r=0;r>>8,t[r+2]=e>>>16,t[r+3]=e>>>24}function wl(t,e){return(t[e]|t[e+1]<<8|t[e+2]<<16)+(t[e+3]<<24)}ol.prototype={destroy:function(){this.buf=null},readFields:function(t,e,r){for(r=r||this.length;this.pos>3,a=this.pos;this.type=7&n,t(i,e,this),this.pos===a&&this.skip(n)}return e},readMessage:function(t,e){return this.readFields(t,e,this.readVarint()+this.pos)},readFixed32:function(){var t=bl(this.buf,this.pos);return this.pos+=4,t},readSFixed32:function(){var 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n}(this.buf,e,t)},readBytes:function(){var t=this.readVarint()+this.pos,e=this.buf.subarray(this.pos,t);return this.pos=t,e},readPackedVarint:function(t,e){if(this.type!==ol.Bytes)return t.push(this.readVarint(e));var r=ll(this);for(t=t||[];this.pos127;);else if(e===ol.Bytes)this.pos=this.readVarint()+this.pos;else if(e===ol.Fixed32)this.pos+=4;else{if(e!==ol.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e268435455||t<0?function(t,e){var r,n;t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0));if(t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var 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a=[],o=t.image,s=o.pixelRatio,l=o.paddedRect.w-2,c=o.paddedRect.h-2,u=t.right-t.left,f=t.bottom-t.top,h=o.stretchX||[[0,l]],p=o.stretchY||[[0,c]],d=function(t,e){return t+e[1]-e[0]},m=h.reduce(d,0),g=p.reduce(d,0),v=l-m,y=c-g,x=0,b=m,_=0,w=g,T=0,k=v,A=0,M=y;if(o.content&&n){var S=o.content;x=nc(h,0,S[0]),_=nc(p,0,S[1]),b=nc(h,S[0],S[2]),w=nc(p,S[1],S[3]),T=S[0]-x,A=S[1]-_,k=S[2]-S[0]-b,M=S[3]-S[1]-w}var E=function(n,a,l,c){var h=ac(n.stretch-x,b,u,t.left),p=oc(n.fixed-T,k,n.stretch,m),d=ac(a.stretch-_,w,f,t.top),v=oc(a.fixed-A,M,a.stretch,g),y=ac(l.stretch-x,b,u,t.left),S=oc(l.fixed-T,k,l.stretch,m),E=ac(c.stretch-_,w,f,t.top),L=oc(c.fixed-A,M,c.stretch,g),C=new i(h,d),P=new i(y,d),I=new i(y,E),O=new i(h,E),z=new i(p/s,v/s),D=new i(S/s,L/s),R=e*Math.PI/180;if(R){var F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];C._matMult(N),P._matMult(N),O._matMult(N),I._matMult(N)}var 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r=!1,n=1/0,i=0;it.y!=u.y>t.y&&t.x<(u.x-c.x)*(t.y-c.y)/(u.y-c.y)+c.x&&(r=!r),n=Math.min(n,ro(t,c,u))}return(r?1:-1)*Math.sqrt(n)}(this.p,n),this.max=this.d+this.h*Math.SQRT2}lc.prototype.push=function(t){this.data.push(t),this.length++,this._up(this.length-1)},lc.prototype.pop=function(){if(0!==this.length){var t=this.data[0],e=this.data.pop();return this.length--,this.length>0&&(this.data[0]=e,this._down(0)),t}},lc.prototype.peek=function(){return this.data[0]},lc.prototype._up=function(t){for(var e=this.data,r=this.compare,n=e[t];t>0;){var i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},lc.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t=0)break;e[t]=o,t=a}e[t]=i};var pc=Number.POSITIVE_INFINITY;function dc(t,e){return e[1]!==pc?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-7;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=7-r}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case\"top-right\":case\"top-left\":n=i-7;break;case\"bottom-right\":case\"bottom-left\":n=7-i;break;case\"bottom\":n=7-e;break;case\"top\":n=e-7}switch(t){case\"top-right\":case\"bottom-right\":r=-i;break;case\"top-left\":case\"bottom-left\":r=i;break;case\"left\":r=e;break;case\"right\":r=-e}return[r,n]}(t,e[0])}function mc(t){switch(t){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function gc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,m){var g=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get(\"text-rotate\").evaluate(o,{})*Math.PI/180,u=[],f=0,h=e.positionedLines;f32640&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'):\"composite\"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},m),128*d.compositeTextSizes[1].evaluate(s,{},m)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. 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this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn(\"SymbolBucket\",Mc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({\"symbol-placement\":new wi(Lt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new wi(Lt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new wi(Lt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ti(Lt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new wi(Lt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new wi(Lt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new wi(Lt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new wi(Lt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new wi(Lt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ti(Lt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new wi(Lt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new wi(Lt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ti(Lt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ti(Lt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new wi(Lt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new wi(Lt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ti(Lt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ti(Lt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new wi(Lt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new wi(Lt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new wi(Lt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ti(Lt.layout_symbol[\"text-field\"]),\"text-font\":new Ti(Lt.layout_symbol[\"text-font\"]),\"text-size\":new Ti(Lt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ti(Lt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new wi(Lt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ti(Lt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ti(Lt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ti(Lt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new wi(Lt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ti(Lt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new wi(Lt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new wi(Lt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ti(Lt.layout_symbol[\"text-rotate\"]),\"text-padding\":new wi(Lt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new wi(Lt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ti(Lt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ti(Lt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new wi(Lt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new wi(Lt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new wi(Lt.layout_symbol[\"text-optional\"])}),Ec={paint:new Si({\"icon-opacity\":new Ti(Lt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ti(Lt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ti(Lt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ti(Lt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ti(Lt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new wi(Lt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new wi(Lt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ti(Lt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ti(Lt.paint_symbol[\"text-color\"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ti(Lt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ti(Lt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ti(Lt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new wi(Lt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new wi(Lt.paint_symbol[\"text-translate-anchor\"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn(\"FormatSectionOverride\",Lc,{omit:[\"defaultValue\"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a\",targetMapId:n,sourceMapId:a.mapId})}}},qc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},qc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},qc.prototype.processTask=function(t,e){var r=this;if(\"\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(qn(e.error)):n(null,qn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"\",sourceMapId:r.mapId,error:e?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},qc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Wc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Wc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Wc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: , lat: }, an object {lon: , lat: }, or an array of [, ]\")};var Xc=2*Math.PI*6371008.8;function Zc(t){return Xc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Zc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Zc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Xc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrapt.wrap)&&(this.overscaledZt.overscaledZ)&&(this.canonical.xt.canonical.x)&&this.canonical.y=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),m=0;mn)i=!1;else if(e)if(this.expirationTimeot&&(t.getActor().send(\"enforceCacheSizeLimit\",at),ht=0)},t.clamp=l,t.clearTileCache=function(t){var e=self.caches.delete(\"mapbox-tiles\");t&&e.catch(t).then((function(){return t()}))},t.clipLine=ec,t.clone=function(t){var e=new fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=x,t.clone$2=function(t){var e=new fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=tl,t.config=F,t.create=function(){var t=new fo(16);return fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new fo(9);return fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new fo(4);return fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=Wr,t.createLayout=Ii,t.createStyleLayer=function(t){return\"custom\"===t.type?new Dc(t):new Rc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=qe,t.offscreenCanvasSupported=pt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t},t.parseGlyphPBF=function(t){return new al(t).readFields(Tl,[])},t.pbf=al,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=8192/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if(\"composite\"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;u.compositeTextSizes=[c[\"text-size\"].possiblyEvaluate(new pi(h),o),c[\"text-size\"].possiblyEvaluate(new pi(p),o)]}if(\"composite\"===t.iconSizeData.kind){var d=t.iconSizeData,m=d.minZoom,g=d.maxZoom;u.compositeIconSizes=[c[\"icon-size\"].possiblyEvaluate(new pi(m),o),c[\"icon-size\"].possiblyEvaluate(new pi(g),o)]}u.layoutTextSize=c[\"text-size\"].possiblyEvaluate(new pi(t.zoom+1),o),u.layoutIconSize=c[\"icon-size\"].possiblyEvaluate(new pi(t.zoom+1),o),u.textMaxSize=c[\"text-size\"].possiblyEvaluate(new pi(18));for(var v=24*l.get(\"text-line-height\"),y=\"map\"===l.get(\"text-rotation-alignment\")&&\"point\"!==l.get(\"symbol-placement\"),x=l.get(\"text-keep-upright\"),b=l.get(\"text-size\"),w=function(){var a=k[T],s=l.get(\"text-font\").evaluate(a,{},o).join(\",\"),c=b.evaluate(a,{},o),f=u.layoutTextSize.evaluate(a,{},o),h=u.layoutIconSize.evaluate(a,{},o),p={horizontal:{},vertical:void 0},d=a.text,m=[0,0];if(d){var g=d.toString(),w=24*l.get(\"text-letter-spacing\").evaluate(a,{},o),A=function(t){for(var e=0,r=t;e=8192||f.y<0||f.y>=8192||function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,w,T,k,A){var M,S,E,L,C,P=t.addToLineVertexArray(e,r),I=0,O=0,z=0,D=0,R=-1,F=-1,B={},N=ya(\"\"),j=0,U=0;void 0===s._unevaluatedLayout.getValue(\"text-radial-offset\")?(M=s.layout.get(\"text-offset\").evaluate(b,{},k).map((function(t){return 24*t})),j=M[0],U=M[1]):(j=24*s.layout.get(\"text-radial-offset\").evaluate(b,{},k),U=pc);if(t.allowVerticalPlacement&&n.vertical){var V=s.layout.get(\"text-rotate\").evaluate(b,{},k)+90,H=n.vertical;L=new sc(l,e,c,u,f,H,h,p,d,V),o&&(C=new sc(l,e,c,u,f,o,g,v,d,V))}if(i){var q=s.layout.get(\"icon-rotate\").evaluate(b,{}),G=\"none\"!==s.layout.get(\"icon-text-fit\"),Y=rc(i,q,T,G),W=o?rc(o,q,T,G):void 0;E=new sc(l,e,c,u,f,i,g,v,!1,q),I=4*Y.length;var X=t.iconSizeData,Z=null;\"source\"===X.kind?(Z=[128*s.layout.get(\"icon-size\").evaluate(b,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"icon-size\" is >= 255. Reduce your \"icon-size\".'):\"composite\"===X.kind&&((Z=[128*w.compositeIconSizes[0].evaluate(b,{},k),128*w.compositeIconSizes[1].evaluate(b,{},k)])[0]>32640||Z[1]>32640)&&_(t.layerIds[0]+': Value for \"icon-size\" is >= 255. Reduce your \"icon-size\".'),t.addSymbols(t.icon,Y,Z,x,y,b,!1,e,P.lineStartIndex,P.lineLength,-1,k),R=t.icon.placedSymbolArray.length-1,W&&(O=4*W.length,t.addSymbols(t.icon,W,Z,x,y,b,Cl.vertical,e,P.lineStartIndex,P.lineLength,-1,k),F=t.icon.placedSymbolArray.length-1)}for(var J in n.horizontal){var K=n.horizontal[J];if(!S){N=ya(K.text);var Q=s.layout.get(\"text-rotate\").evaluate(b,{},k);S=new sc(l,e,c,u,f,K,h,p,d,Q)}var $=1===K.positionedLines.length;if(z+=gc(t,e,K,a,s,d,b,m,P,n.vertical?Cl.horizontal:Cl.horizontalOnly,$?Object.keys(n.horizontal):[J],B,R,w,k),$)break}n.vertical&&(D+=gc(t,e,n.vertical,a,s,d,b,m,P,Cl.vertical,[\"vertical\"],B,F,w,k));var tt=S?S.boxStartIndex:t.collisionBoxArray.length,et=S?S.boxEndIndex:t.collisionBoxArray.length,rt=L?L.boxStartIndex:t.collisionBoxArray.length,nt=L?L.boxEndIndex:t.collisionBoxArray.length,it=E?E.boxStartIndex:t.collisionBoxArray.length,at=E?E.boxEndIndex:t.collisionBoxArray.length,ot=C?C.boxStartIndex:t.collisionBoxArray.length,st=C?C.boxEndIndex:t.collisionBoxArray.length,lt=-1,ct=function(t,e){return t&&t.circleDiameter?Math.max(t.circleDiameter,e):e};lt=ct(S,lt),lt=ct(L,lt),lt=ct(E,lt);var ut=(lt=ct(C,lt))>-1?1:0;ut&&(lt*=A/24);t.glyphOffsetArray.length>=Mc.MAX_GLYPHS&&_(\"Too many glyphs being rendered in a tile. 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L=t.mapObject(g.glyphDependencies,(function(t){return Object.keys(t).map(Number)}));Object.keys(L).length?a.send(\"getGlyphs\",{uid:this.uid,stacks:L},(function(t,e){f||(f=t,h=e,I.call(l))})):h={};var C=Object.keys(g.iconDependencies);C.length?a.send(\"getImages\",{icons:C,source:this.source,tileID:this.tileID,type:\"icons\"},(function(t,e){f||(f=t,p=e,I.call(l))})):p={};var P=Object.keys(g.patternDependencies);function I(){if(f)return s(f);if(h&&p&&d){var e=new i(h),r=new t.ImageAtlas(p,d);for(var a in m){var l=m[a];l instanceof t.SymbolBucket?(o(l.layers,this.zoom,n),t.performSymbolLayout(l,h,e.positions,p,r.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):l.hasPattern&&(l instanceof t.LineBucket||l instanceof t.FillBucket||l instanceof 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r=this.loading,n=t.uid;r&&r[n]&&r[n].abort&&(r[n].abort(),delete r[n]),e()},l.prototype.removeTile=function(t,e){var r=this.loaded,n=t.uid;r&&r[n]&&delete r[n],e()};var c=t.window.ImageBitmap,u=function(){this.loaded={}};u.prototype.loadTile=function(e,r){var n=e.uid,i=e.encoding,a=e.rawImageData,o=c&&a instanceof c?this.getImageData(a):a,s=new t.DEMData(n,o,i);this.loaded=this.loaded||{},this.loaded[n]=s,r(null,s)},u.prototype.getImageData=function(e){this.offscreenCanvas&&this.offscreenCanvasContext||(this.offscreenCanvas=new OffscreenCanvas(e.width,e.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext(\"2d\")),this.offscreenCanvas.width=e.width,this.offscreenCanvas.height=e.height,this.offscreenCanvasContext.drawImage(e,0,0,e.width,e.height);var r=this.offscreenCanvasContext.getImageData(-1,-1,e.width+2,e.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new 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r(t,r,n,i){e.call(this,t,r,n,Tt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var m=n-Math.abs(d);p=Math.sqrt(h*h+m*m)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o=n&&e.x=i&&e.y0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+10&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;or.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];tthis.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},N.prototype.has=function(t){return t.wrapped().key in this.data},N.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},N.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},N.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},N.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},N.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},N.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},N.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);fthis._source.maxzoom){var g=d.children(this._source.maxzoom)[0],v=this.getTile(g);if(v&&v.hasData()){n[g.key]=g;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=m.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(m=this.getTile(_))&&x&&(m=this._addTile(_)),m&&(n[_.key]=_,x=m.wasRequested(),m.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,m=0,g=c;m=0&&v[1].y+g>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:m})}}},x=0;x=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Ot(){return new t.window.Worker(Zi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,m=n.transform.width/n.transform.height,g=!1,v=0;vMath.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.yn.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=r/24,v=e.lineOffsetX*g,y=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(g,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var A=ae(e.writingMode,T,k,d);if(A)return A}m=[w.first];for(var M=e.glyphStartIndex+1;M0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(g*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};m=[O]}for(var z=0,D=m;z0?1:-1,m=0;i&&(d*=-1,m=Math.PI),d<0&&(m+=Math.PI);for(var g=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)=c)return null;if(y=v,w.push(v),void 0===(v=h[g])){var T=new t.Point(u.getx(g),u.gety(g)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[g]=k.point;else{var A=g-d;v=se(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var M=(_-x)/b,S=v.sub(y),E=S.mult(M)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=m+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Kt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var m=this.circleCells[i];if(null!==m)for(var g=this.circles,v=0,y=m;vo*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r=1;P--)C.push(E.path[P]);for(var I=1;I0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.xM.x||F.yM.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t=0&&e0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(m=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:m},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,m=a.collisionGroup,g=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),A=x&&(y||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new ge(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d=N.length,k=i.attemptAnchorPlacement(g,t,a,s,c,b,_,f,l,m,v,e,o,n,u);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,m.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,m.predicate,X,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,m.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(I=Z(a.verticalIconBox)).box.length>0:(I=Z(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,m.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,m.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var A=w?Ie:T;d(e.text,l,A);var M=v.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[m];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},g=0;gt},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;nt.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,m=l.stretchX,g=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:m,stretchY:g,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s=0;d--){var m=this._order[d];if(r(m))for(var g=i.length-1;g>=0;g--){var v=i[g].feature;if(n[v.layer.id] 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),tr=yr(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),er=yr(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),rr=yr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),nr=yr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ir=yr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ar=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),or=yr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),sr=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),lr=yr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),cr=yr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),ur=yr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),fr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),hr=yr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),pr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),dr=yr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mr=yr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),gr=yr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),vr=yr(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function yr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+a+\" = a_\"+a+\";\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Xe,circle:Ze,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:mr,symbolSDF:gr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m){var g,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[v.LINES]=2,g[v.TRIANGLES]=3,g[v.LINE_STRIP]=1,g)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,m),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=pe(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=pe(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Pr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Or=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:pe(e,1,r),u_intensity:n}};function Dr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Rr=function(e,r,n){var i=e.transform;return{u_matrix:Ur(e,r,n),u_ratio:1/pe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n){return t.extend(Rr(e,r,n),{u_image:0})},Br=function(e,r,n,i){var a=e.transform,o=jr(r,a);return{u_matrix:Ur(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/pe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Nr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=jr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Vr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Hr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Hr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var qr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Xr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Zr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Jr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M=0&&(m[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function mn(t){var e=t.transform.padding;gn(t,t.transform.height-(e.top||0),3,un),gn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function gn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=At.disabled,c=Mt.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,m=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,g=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(g+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,g+\" \"+p+\"kb\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,m),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var bn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Mt.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,f=0,h=e;f256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(At.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Mt({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Mt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer0?e.pop():null},_n.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},_n.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},_n.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},_n.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;fthis.max[l]-this.min[l])return 0}return 1};var kn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};kn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},kn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var An=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Mn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};An.prototype.clone=function(){var t=new An(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Mn.minZoom.get=function(){return this._minZoom},Mn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Mn.maxZoom.get=function(){return this._maxZoom},Mn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Mn.minPitch.get=function(){return this._minPitch},Mn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Mn.maxPitch.get=function(){return this._maxPitch},Mn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Mn.renderWorldCopies.get=function(){return this._renderWorldCopies},Mn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Mn.worldSize.get=function(){return this.tileSize*this.scale},Mn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Mn.size.get=function(){return new t.Point(this.width,this.height)},Mn.bearing.get=function(){return-this.angle/Math.PI*180},Mn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Mn.pitch.get=function(){return this._pitch/Math.PI*180},Mn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Mn.fov.get=function(){return this._fov/Math.PI*180},Mn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Mn.zoom.get=function(){return this._zoom},Mn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Mn.center.get=function(){return this._center},Mn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Mn.padding.get=function(){return this._edgeInsets.toJSON()},Mn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Mn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},An.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},An.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},An.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},An.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},An.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&re.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var m=u.pop(),g=m.x,v=m.y,y=m.fullyVisible;if(!y){var x=m.aabb.intersects(s);if(0===x)continue;y=2===x}var b=m.aabb.distanceX(o),_=m.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<T&&m.zoom>=l)f.push({tileID:new t.OverscaledTileID(m.zoom===h?p:m.zoom,m.wrap,m.zoom,g,v),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:m.aabb.quadrant(k),zoom:m.zoom+1,x:A,y:M,wrap:m.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},An.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Mn.unmodified.get=function(){return this._unmodified},An.prototype.zoomScale=function(t){return Math.pow(2,t)},An.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},An.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},An.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Mn.point.get=function(){return this.project(this.center)},An.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},An.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},An.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},An.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},An.prototype.coordinateLocation=function(t){return t.toLngLat()},An.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},An.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},An.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},An.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},An.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},An.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},An.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},An.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-ao&&(i=o-g)}if(this.lngRange){var v=p.x,y=c.x/2;v-yl&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},An.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),m=Math.sin(this.angle),g=s-Math.round(s)+d*h+m*p,v=l-Math.round(l)+d*p+m*h,y=new Float64Array(f);if(t.translate(y,y,[g>.5?g-1:g,v>.5?v-1:v,0]),this.alignedProjMatrix=y,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},An.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;nthis.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n30)&&(this.aborted=!0)}}},Hn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Gn=function(){this._zoomIn=new qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(sMath.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},li.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new qn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var mi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;aa?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(m));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),m=t.Point.convert(e.offset),g=a.centerPoint.add(m),v=a.pointLocation(g),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=Te.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),g=a.centerPoint.add(m));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};bi.prototype.getDefaultPosition=function(){return\"bottom-right\"},bi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},bi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},bi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var _i=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};_i.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return\"bottom-left\"},_i.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},_i.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t){if(t[e].getSource().mapbox_logo)return!0}return!1}},_i.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;re.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new An(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ai))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new yi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Rn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ii.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ii.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)e.getEast()||r.latitudee.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ni--,ji=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Vi={maxWidth:100,unit:\"metric\"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\"));else Gi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else if(r&&\"nautical\"===r.unit){Gi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Gi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(\"\"+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\" \"+n}Hi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(this._map,this._container,this.options)};var Yi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Yi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Wi={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Xi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"×\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,\"top-left\":i,\"top-right\":i,bottom:i,\"bottom-left\":i,\"bottom-right\":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.ythis._map.transform.height-u?[\"bottom\"]:[],a.xthis._map.transform.width-c/2&&l.push(\"right\"),o=0===l.length?\"bottom\":l.join(\"-\")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+\" translate(\"+f.x+\"px,\"+f.y+\"px)\"),Di(this._container,o,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Zi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:Hi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Zi})),r}))},{}],240:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],241:[function(t,e,r){\"use strict\";e.exports=function(t,e){e||(e=t,t=window);var r=0,i=0,a=0,o={shift:!1,alt:!1,control:!1,meta:!1},s=!1;function l(t){var e=!1;return\"altKey\"in t&&(e=e||t.altKey!==o.alt,o.alt=!!t.altKey),\"shiftKey\"in t&&(e=e||t.shiftKey!==o.shift,o.shift=!!t.shiftKey),\"ctrlKey\"in t&&(e=e||t.ctrlKey!==o.control,o.control=!!t.ctrlKey),\"metaKey\"in t&&(e=e||t.metaKey!==o.meta,o.meta=!!t.metaKey),e}function c(t,s){var c=n.x(s),u=n.y(s);\"buttons\"in s&&(t=0|s.buttons),(t!==r||c!==i||u!==a||l(s))&&(r=0|t,i=c||0,a=u||0,e&&e(r,i,a,o))}function u(t){c(0,t)}function f(){(r||i||a||o.shift||o.alt||o.meta||o.control)&&(i=a=0,r=0,o.shift=o.alt=o.control=o.meta=!1,e&&e(0,0,0,o))}function h(t){l(t)&&e&&e(r,i,a,o)}function p(t){0===n.buttons(t)?c(0,t):c(r,t)}function d(t){c(r|n.buttons(t),t)}function m(t){c(r&~n.buttons(t),t)}function g(){s||(s=!0,t.addEventListener(\"mousemove\",p),t.addEventListener(\"mousedown\",d),t.addEventListener(\"mouseup\",m),t.addEventListener(\"mouseleave\",u),t.addEventListener(\"mouseenter\",u),t.addEventListener(\"mouseout\",u),t.addEventListener(\"mouseover\",u),t.addEventListener(\"blur\",f),t.addEventListener(\"keyup\",h),t.addEventListener(\"keydown\",h),t.addEventListener(\"keypress\",h),t!==window&&(window.addEventListener(\"blur\",f),window.addEventListener(\"keyup\",h),window.addEventListener(\"keydown\",h),window.addEventListener(\"keypress\",h)))}g();var v={element:t};return Object.defineProperties(v,{enabled:{get:function(){return 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n={left:0,top:0};e.exports=function(t,e,r){e=e||t.currentTarget||t.srcElement,Array.isArray(r)||(r=[0,0]);var i=t.clientX||0,a=t.clientY||0,o=(s=e,s===window||s===document||s===document.body?n:s.getBoundingClientRect());var s;return r[0]=i-o.left,r[1]=a-o.top,r}},{}],243:[function(t,e,r){\"use strict\";function n(t){return t.target||t.srcElement||window}r.buttons=function(t){if(\"object\"==typeof t){if(\"buttons\"in t)return t.buttons;if(\"which\"in t){if(2===(e=t.which))return 4;if(3===e)return 2;if(e>0)return 1<=0)return 1<0&&o(l,r))}catch(t){f.call(new p(r),t)}}}function f(t){var e=this;e.triggered||(e.triggered=!0,e.def&&(e=e.def),e.msg=t,e.state=2,e.chain.length>0&&o(l,e))}function h(t,e,r,n){for(var i=0;i1&&(r*=v=Math.sqrt(v),a*=v);var y=r*r,x=a*a,b=(c==u?-1:1)*Math.sqrt(Math.abs((y*x-y*m*m-x*g*g)/(y*m*m+x*g*g)));b==1/0&&(b=1);var 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translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x) / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * 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startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n + positionFract * scale + translateFract\\n + position * scaleFract\\n + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = fragColor;\\n}\\n\"]),uniforms:{scale:t.prop(\"scale\"),color:t.prop(\"fill\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:i,miter:e}},v.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},v.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},v.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},v.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{\"../main\":346,\"object-assign\":247}],339:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{\"../main\":346,\"object-assign\":247}],340:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{\"../main\":346,\"object-assign\":247}],341:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var c=t-this.toJD(l,1,1)+1,u=c<=186?Math.ceil(c/31):Math.ceil((c-6)/30),f=t-this.toJD(l,u,1)+1;return this.newDate(l,u,f)}}),n.calendars.persian=a,n.calendars.jalali=a},{\"../main\":346,\"object-assign\":247}],343:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,i(o.prototype,{name:\"Taiwan\",jdEpoch:2419402.5,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":346,\"object-assign\":247}],344:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,i(o.prototype,{name:\"Thai\",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":346,\"object-assign\":247}],345:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;ar)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;ne);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=t(\"object-assign\");function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;oe-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw this._validateLevel--,t}},_correctAdd:function(t,e,r,n){if(!(this.hasYearZero||\"y\"!==n&&\"m\"!==n||0!==e[0]&&t.year()>0==e[0]>0)){var 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n=t(\"../../plots/font_attributes\"),i=t(\"./layout_attributes\").hoverlabel,a=t(\"../../lib/extend\").extendFlat;e.exports={hoverlabel:{bgcolor:a({},i.bgcolor,{arrayOk:!0}),bordercolor:a({},i.bordercolor,{arrayOk:!0}),font:n({arrayOk:!0,editType:\"none\"}),align:a({},i.align,{arrayOk:!0}),namelength:a({},i.namelength,{arrayOk:!0}),editType:\"none\"}}},{\"../../lib/extend\":493,\"../../plots/font_attributes\":585,\"./layout_attributes\":407}],398:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\");function a(t,e,r,i){i=i||n.identity,Array.isArray(t)&&(e[0][r]=i(t))}e.exports=function(t){var e=t.calcdata,r=t._fullLayout;function o(t){return function(e){return n.coerceHoverinfo({hoverinfo:e},{_module:t._module},r)}}for(var s=0;s=0&&r.index_[0]._length||ot<0||ot>w[0]._length)return d.unhoverRaw(t,e)}if(e.pointerX=at+_[0]._offset,e.pointerY=ot+w[0]._offset,V=\"xval\"in e?v.flat(l,e.xval):v.p2c(_,at),H=\"yval\"in 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Pt=t._hoverdata,It=[],Ot=j(t),zt=U(t);for(q=0;q1||et.length>1)||\"closest\"===P&&it&&et.length>1,Wt=p.combine(u.plot_bgcolor||p.background,u.paper_bgcolor),Xt=I(et,{gd:t,hovermode:P,rotateLabels:Yt,bgColor:Wt,container:u._hoverlayer,outerContainer:u._paper.node(),commonLabelOpts:u.hoverlabel,hoverdistance:u.hoverdistance});v.isUnifiedHover(P)||(!function(t,e,r){var n,i,a,o,s,l,c,u=0,f=1,h=t.size(),p=new Array(h),d=0;function g(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var c=0;for(o=0;oe.pmax&&c++;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,c--);for(o=0;o=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,c--)}}}t.each((function(t){var n=t[e],i=\"x\"===n._id.charAt(0),a=n.range;0===d&&a&&a[0]>a[1]!==i&&(f=-1),p[d++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(i?T:1)/2,pmin:0,pmax:i?r.width:r.height}]})),p.sort((function(t,e){return t[0].posref-e[0].posref||f*(e[0].traceIndex-t[0].traceIndex)}));for(;!n&&u<=h;){for(u++,n=!0,o=0;o.01&&y.pmin===x.pmin&&y.pmax===x.pmax){for(s=v.length-1;s>=0;s--)v[s].dp+=i;for(m.push.apply(m,v),p.splice(o+1,1),c=0,s=m.length-1;s>=0;s--)c+=m[s].dp;for(a=c/m.length,s=m.length-1;s>=0;s--)m[s].dp-=a;n=!1}else o++}p.forEach(g)}for(o=p.length-1;o>=0;o--){var b=p[o];for(s=b.length-1;s>=0;s--){var _=b[s],w=_.datum;w.offset=_.dp,w.del=_.del}}}(Xt,Yt?\"xa\":\"ya\",u),z(Xt,Yt,u._invScaleX,u._invScaleY));if(s&&s.tagName){var Zt=m.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,It);f(n.select(s),Zt?\"pointer\":\"\")}if(!s||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt))return;Pt&&t.emit(\"plotly_unhover\",{event:e,points:Pt});t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:V,yvals:H})}(t,e,r,a,s)}))},r.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=j(i),o=U(i),s=I(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,c=t.eventData;if(c){var u=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),g=t.trace;if(m.traceIs(g,\"gl3d\")){var v=i._fullLayout[g.scene]._scene.container,y=v.offsetLeft,x=v.offsetTop;u+=y,f+=y,h+=x,d+=x}c.bbox={x0:u+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(c.bbox)}else c=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:c}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}),l=0,c=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5([\\s\\S]*)<\\/extra>/;function I(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,c=e.rotateLabels,f=e.bgColor,d=e.container,g=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||y.HOVERFONT,k=e.fontSize||y.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),I=A[P+\"Label\"],z=V(r,g),D=z.top,R=z.width,F=z.height,B=void 0!==I&&A.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(B){var N,j,U=!0;for(N=0;Ni.width-b?(m=i.width-b,e.attr(\"d\",\"M\"+(b-M)+\",0L\"+b+\",\"+x+M+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"H\"+(b-2*M)+\"Z\")):e.attr(\"d\",\"M0,0L\"+M+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+(S+y.width/2)+\"V\"+x+M+\"H-\"+M+\"Z\")}else{var _,C,P;\"right\"===L.side?(_=\"start\",C=1,P=\"\",m=E._offset+E._length):(_=\"end\",C=-1,P=\"-\",m=E._offset),v=L._offset+(A.y0+A.y1)/2,l.attr(\"text-anchor\",_),e.attr(\"d\",\"M0,0L\"+P+M+\",\"+M+\"V\"+(S+y.height/2)+\"h\"+P+(2*S+y.width)+\"V-\"+(S+y.height/2)+\"H\"+P+M+\"V-\"+M+\"Z\");var O,z=y.height/2,R=D-y.top-z,F=\"clip\"+i._uid+\"commonlabel\"+L._id;if(m=0?at:ot+ct=0?ot:vt+ct=0?nt:it+ut=0?it:yt+ut=0,\"top\"!==t.idealAlign&&G||!Y?G?(z+=j/2,t.anchor=\"start\"):t.anchor=\"middle\":(z-=j/2,t.anchor=\"end\");else if(t.pos=z,G=P+N/2+W<=R,Y=P-N/2-W>=0,\"left\"!==t.idealAlign&&G||!Y)if(G)P+=N/2,t.anchor=\"start\";else{t.anchor=\"middle\";var X=W/2,Z=P+X-R,J=P-X;Z>0&&(P-=Z),J<0&&(P+=-J)}else P-=N/2,t.anchor=\"end\";w.attr(\"text-anchor\",t.anchor),E&&A.attr(\"text-anchor\",t.anchor),e.attr(\"transform\",s(P,z)+(c?l(_):\"\"))})),xt}function O(t,e,r,n,i,a){var s=\"\",l=\"\";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=B(t.name,t.nameLength));var c=r.charAt(0),u=\"x\"===c?\"y\":\"x\";void 0!==t.zLabel?(void 0!==t.xLabel&&(l+=\"x: \"+t.xLabel+\"
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n,i,o=r.container,s=r.fullLayout,l=s._size,c=r.event,u=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),f||u){var d=p.combine(s.plot_bgcolor,s.paper_bgcolor);if(u){var m,v,y=e.hLinePoint;n=y&&y.xa,\"cursor\"===(i=y&&y.ya).spikesnap?(m=c.pointerX,v=c.pointerY):(m=n._offset+y.x,v=i._offset+y.y);var x,b,_=a.readability(y.color,d)<1.5?p.contrast(d):y.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=g.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=A,b=m),-1!==w.indexOf(\"across\")){var 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e=t._fullLayout,r=t.calcdata,i=e._subplots.geo,s=0;s0&&P<0&&(P+=360);var I,O,z,D=(C+P)/2;if(!p){var R=d?f.projRotate:[D,0,0];I=r(\"projection.rotation.lon\",R[0]),r(\"projection.rotation.lat\",R[1]),r(\"projection.rotation.roll\",R[2]),r(\"showcoastlines\",!d&&x)&&(r(\"coastlinecolor\"),r(\"coastlinewidth\")),r(\"showocean\",!!x&&void 0)&&r(\"oceancolor\")}(p?(O=-96.6,z=38.7):(O=d?D:I,z=(L[0]+L[1])/2),r(\"center.lon\",O),r(\"center.lat\",z),g&&(r(\"projection.tilt\"),r(\"projection.distance\")),m)&&r(\"projection.parallels\",f.projParallels||[0,60]);r(\"projection.scale\"),r(\"showland\",!!x&&void 0)&&r(\"landcolor\"),r(\"showlakes\",!!x&&void 0)&&r(\"lakecolor\"),r(\"showrivers\",!!x&&void 0)&&(r(\"rivercolor\"),r(\"riverwidth\")),r(\"showcountries\",d&&\"usa\"!==u&&x)&&(r(\"countrycolor\"),r(\"countrywidth\")),(\"usa\"===u||\"north 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e=0,r=arguments.length,i=[];for(;++ed?(a=(f>0?90:-90)-p,i=0):(a=Math.asin(f/d)*s-p,i=Math.sqrt(d*d-f*f));var g=180-a-2*p,m=(Math.atan2(h,u)-Math.atan2(c,i))*s,v=(Math.atan2(h,u)-Math.atan2(c,-i))*s;return b(r[0],r[1],a,m)<=b(r[0],r[1],g,v)?[a,m,r[2]]:[g,v,r[2]]}function b(t,e,r,n){var i=_(r-t),a=_(n-e);return Math.sqrt(i*i+a*a)}function _(t){return(t%360+540)%360-180}function w(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),c=Math.sin(n);return i[a]=t[a]*l-t[s]*c,i[s]=t[s]*l+t[a]*c,i}function T(t){return[Math.atan2(2*(t[0]*t[1]+t[2]*t[3]),1-2*(t[1]*t[1]+t[2]*t[2]))*s,Math.asin(Math.max(-1,Math.min(1,2*(t[0]*t[2]-t[3]*t[1]))))*s,Math.atan2(2*(t[0]*t[3]+t[1]*t[2]),1-2*(t[2]*t[2]+t[3]*t[3]))*s]}function k(t,e){for(var r=0,n=0,i=t.length;nMath.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),c.boxEnd[1]l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),c.boxEnd[0]l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(m(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(m(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n).999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var 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f=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d/g,\" \"));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;ar.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,h=e.glplot.selection,g=0;g\")):\"isosurface\"===t.type||\"volume\"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push(\"value: \"+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join(\"
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D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d=\"data\"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+\".camera\").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+\".aspectratio\").set(i),this.glplot.redraw()}return h},w.updateFx=function(t,e){var r=this.camera;if(r)if(\"orbit\"===t)r.mode=\"orbit\",r.keyBindingMode=\"rotate\";else if(\"turntable\"===t){r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+\".camera.up\",h={x:0,y:0,z:1},p={};p[c]=h;var d=n.layout;u.call(\"_storeDirectGUIEdit\",d,i._preGUI,p),a.up=h,f.nestedProperty(d,c).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement(\"canvas\");o.width=r,o.height=i;var s,l=o.getContext(\"2d\"),c=l.createImageData(r,i);switch(c.data.set(a),l.putImageData(c,0,0),t){case\"jpeg\":s=o.toDataURL(\"image/jpeg\");break;case\"webp\":s=o.toDataURL(\"image/webp\");break;default:s=o.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(n),s},w.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[k[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},w.make4thDimension=function(){var t=this.graphDiv._fullLayout;this._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},p.setConvert(this._mockAxis,t)},e.exports=_},{\"../../../stackgl_modules\":1120,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/show_no_webgl_msg\":525,\"../../lib/str2rgbarray\":528,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"./layout/convert\":602,\"./layout/spikes\":605,\"./layout/tick_marks\":606,\"./project\":607,\"has-passive-events\":229,\"webgl-context\":331}],609:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;aOpenStreetMap contributors',a=['\\xa9 Carto',i].join(\" \"),o=['Map tiles by Stamen Design','under CC BY 3.0',\"|\",'Data by OpenStreetMap contributors','under ODbL'].join(\" \"),s={\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:i,tiles:[\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\",\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}]},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}]},\"carto-positron\":{id:\"carto-positron\",version:8,sources:{\"plotly-carto-positron\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-positron\",type:\"raster\",source:\"plotly-carto-positron\",minzoom:0,maxzoom:22}]},\"carto-darkmatter\":{id:\"carto-darkmatter\",version:8,sources:{\"plotly-carto-darkmatter\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-darkmatter\",type:\"raster\",source:\"plotly-carto-darkmatter\",minzoom:0,maxzoom:22}]},\"stamen-terrain\":{id:\"stamen-terrain\",version:8,sources:{\"plotly-stamen-terrain\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-terrain\",type:\"raster\",source:\"plotly-stamen-terrain\",minzoom:0,maxzoom:22}]},\"stamen-toner\":{id:\"stamen-toner\",version:8,sources:{\"plotly-stamen-toner\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-toner\",type:\"raster\",source:\"plotly-stamen-toner\",minzoom:0,maxzoom:22}]},\"stamen-watercolor\":{id:\"stamen-watercolor\",version:8,sources:{\"plotly-stamen-watercolor\":{type:\"raster\",attribution:['Map tiles by Stamen Design','under CC BY 3.0',\"|\",'Data by OpenStreetMap contributors','under CC BY SA'].join(\" \"),tiles:[\"https://stamen-tiles.a.ssl.fastly.net/watercolor/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-watercolor\",type:\"raster\",source:\"plotly-stamen-watercolor\",minzoom:0,maxzoom:22}]}},l=n(s);e.exports={requiredVersion:\"1.10.1\",styleUrlPrefix:\"mapbox://styles/mapbox/\",styleUrlSuffix:\"v9\",styleValuesMapbox:[\"basic\",\"streets\",\"outdoors\",\"light\",\"dark\",\"satellite\",\"satellite-streets\"],styleValueDflt:\"basic\",stylesNonMapbox:s,styleValuesNonMapbox:l,traceLayerPrefix:\"plotly-trace-layer-\",layoutLayerPrefix:\"plotly-layout-layer-\",wrongVersionErrorMsg:[\"Your custom plotly.js bundle is not using the correct mapbox-gl version\",\"Please install mapbox-gl@1.10.1.\"].join(\"\\n\"),noAccessTokenErrorMsg:[\"Missing Mapbox access token.\",\"Mapbox trace type require a Mapbox access token to be registered.\",\"For example:\",\" Plotly.newPlot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });\",\"More info here: https://www.mapbox.com/help/define-access-token/\"].join(\"\\n\"),missingStyleErrorMsg:[\"No valid mapbox style found, please set `mapbox.style` to one of:\",l.join(\", \"),\"or register a Mapbox access token to use a Mapbox-served style.\"].join(\"\\n\"),multipleTokensErrorMsg:[\"Set multiple mapbox access token across different mapbox subplot,\",\"using first token found as mapbox-gl does not allow multipleaccess tokens on the same page.\"].join(\"\\n\"),mapOnErrorMsg:\"Mapbox error.\",mapboxLogo:{path0:\"m 10.5,1.24 c -5.11,0 -9.25,4.15 -9.25,9.25 0,5.1 4.15,9.25 9.25,9.25 5.1,0 9.25,-4.15 9.25,-9.25 0,-5.11 -4.14,-9.25 -9.25,-9.25 z m 4.39,11.53 c -1.93,1.93 -4.78,2.31 -6.7,2.31 -0.7,0 -1.41,-0.05 -2.1,-0.16 0,0 -1.02,-5.64 2.14,-8.81 0.83,-0.83 1.95,-1.28 3.13,-1.28 1.27,0 2.49,0.51 3.39,1.42 1.84,1.84 1.89,4.75 0.14,6.52 z\",path1:\"M 10.5,-0.01 C 4.7,-0.01 0,4.7 0,10.49 c 0,5.79 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n=t(\"mapbox-gl/dist/mapbox-gl-unminified\"),i=t(\"../../lib\"),a=i.strTranslate,o=i.strScale,s=t(\"../../plots/get_data\").getSubplotCalcData,l=t(\"../../constants/xmlns_namespaces\"),c=t(\"@plotly/d3\"),u=t(\"../../components/drawing\"),f=t(\"../../lib/svg_text_utils\"),h=t(\"./mapbox\"),p=r.constants=t(\"./constants\");function d(t){return\"string\"==typeof t&&(-1!==p.styleValuesMapbox.indexOf(t)||0===t.indexOf(\"mapbox://\"))}r.name=\"mapbox\",r.attr=\"subplot\",r.idRoot=\"mapbox\",r.idRegex=r.attrRegex=i.counterRegex(\"mapbox\"),r.attributes={subplot:{valType:\"subplotid\",dflt:\"mapbox\",editType:\"calc\"}},r.layoutAttributes=t(\"./layout_attributes\"),r.supplyLayoutDefaults=t(\"./layout_defaults\"),r.plot=function(t){var e=t._fullLayout,r=t.calcdata,a=e._subplots.mapbox;if(n.version!==p.requiredVersion)throw new Error(p.wrongVersionErrorMsg);var o=function(t,e){var r=t._fullLayout;if(\"\"===t._context.mapboxAccessToken)return\"\";for(var n=[],a=[],o=!1,s=!1,l=0;l1&&i.warn(p.multipleTokensErrorMsg),n[0]):(a.length&&i.log([\"Listed mapbox access token(s)\",a.join(\",\"),\"but did not use a Mapbox map style, ignoring token(s).\"].join(\" \")),\"\")}(t,a);n.accessToken=o;for(var l=0;l_/2){var w=v.split(\"|\").join(\"
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i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{\"icon-image\":i.icon+\"-15\",\"icon-size\":i.iconsize/10,\"text-field\":i.text,\"text-size\":i.textfont.size,\"text-anchor\":o.anchor,\"text-offset\":o.offset,\"symbol-placement\":i.placement}),n.extendFlat(r,{\"icon-color\":t.color,\"text-color\":i.textfont.color,\"text-opacity\":t.opacity});break;case\"raster\":n.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":t.opacity})}return{layout:e,paint:r}}l.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c(t)},l.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&\"image\"===this.sourceType&&\"image\"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||JSON.stringify(this.source)!==JSON.stringify(t.source)||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},l.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates});var e=this.findFollowingMapboxLayerId(this.lookupBelow());null!==e&&this.subplot.map.moveLayer(this.idLayer,e)},l.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,c(t)){var r=function(t){var 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e,r,s=this,c=s.isSmith,u=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,g=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,I=E.clampTiny,O=E.findXYatLength,z=E.findEnclosingVertexAngles,D=S.cornerHalfWidth,R=S.cornerLen/2,F=m.makeDragger(f,\"path\",\"maindrag\",\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){y.hover(u,t,s.id),u._fullLayout._lasthover=F,u._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){u._dragging||v.unhover(u,t)};var B,N,j,U,V,H,q,G,Y,W={element:F,gd:u,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function X(t,e){return Math.sqrt(t*t+e*e)}function Z(t,e){return X(t-A,e-M)}function J(t,e){return Math.atan2(M-e,t-A)}function K(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function Q(t,e){if(0===t)return s.pathSector(2*D);var r=R/t,n=e-r,i=e+r,a=Math.max(0,Math.min(t,g)),o=a-D,l=a+D;return\"M\"+K(o,n)+\"A\"+[o,o]+\" 0,0,0 \"+K(o,i)+\"L\"+K(l,i)+\"A\"+[l,l]+\" 0,0,1 \"+K(l,n)+\"Z\"}function $(t,e,r){if(0===t)return s.pathSector(2*D);var n,i,a=K(t,e),o=K(t,r),l=I((a[0]+o[0])/2),c=I((a[1]+o[1])/2);if(l&&c){var u=c/l,f=-1/u,h=O(D,u,l,c);n=O(R,f,h[0][0],h[0][1]),i=O(R,f,h[1][0],h[1][1])}else{var p,d;c?(p=R,d=D):(p=D,d=R),n=[[l-p,c-d],[l+p,c-d]],i=[[l-p,c+d],[l+p,c+d]]}return\"M\"+n.join(\"L\")+\"L\"+i.reverse().join(\"L\")+\"Z\"}function tt(t,e){return e=Math.max(Math.min(e,g),x),tp?(t-1&&1===t&&_(e,u,[s.xaxis],[s.yaxis],s.id,W),r.indexOf(\"event\")>-1&&y.click(u,e,s.id)}W.prepFn=function(t,n,a){var l=u._fullLayout.dragmode,f=F.getBoundingClientRect();u._fullLayout._calcInverseTransform(u);var p=u._fullLayout._invTransform;e=u._fullLayout._invScaleX,r=u._fullLayout._invScaleY;var d=o.apply3DTransform(p)(n-f.left,a-f.top);if(B=d[0],N=d[1],C){var v=E.findPolygonOffset(g,L[0],L[1],C);B+=A+v[0],N+=M+v[1]}switch(l){case\"zoom\":W.clickFn=st,c||(W.moveFn=C?it:rt,W.doneFn=at,function(){j=null,U=null,V=s.pathSubplot(),H=!1;var t=u._fullLayout[s.id];q=i(t.bgcolor).getLuminance(),(G=m.makeZoombox(h,q,T,k,V)).attr(\"fill-rule\",\"evenodd\"),Y=m.makeCorners(h,T,k),w(u)}());break;case\"select\":case\"lasso\":b(t,n,a,W,l)}},v.init(W)},N.updateRadialDrag=function(t,e,r){var i=this,c=i.gd,u=i.layers,f=i.radius,h=i.innerRadius,p=i.cx,d=i.cy,g=i.radialAxis,y=S.radialDragBoxSize,x=y/2;if(g.visible){var b,_,T,M=R(i.radialAxisAngle),E=g._rl,L=E[0],C=E[1],P=E[r],I=.75*(E[1]-E[0])/(1-i.getHole(e))/f;r?(b=p+(f+x)*Math.cos(M),_=d-(f+x)*Math.sin(M),T=\"radialdrag\"):(b=p+(h-x)*Math.cos(M),_=d-(h-x)*Math.sin(M),T=\"radialdrag-inner\");var O,z,D,B=m.makeRectDragger(u,T,\"crosshair\",-x,-x,y,y),N={element:B,gd:c};V(n.select(B),g.visible&&h0==(r?D>L:Dn?function(t){return t<=0}:function(t){return t>=0};t.c2g=function(r){var n=t.c2l(r)-e;return(s(n)?n:0)+o},t.g2c=function(r){return t.l2c(r+e-o)},t.g2p=function(t){return t*a},t.c2p=function(e){return t.g2p(t.c2g(e))}}}(t,e);break;case\"angularaxis\":!function(t,e){var r=t.type;if(\"linear\"===r){var i=t.d2c,s=t.c2d;t.d2c=function(t,e){return function(t,e){return\"degrees\"===e?a(t):t}(i(t),e)},t.c2d=function(t,e){return s(function(t,e){return\"degrees\"===e?o(t):t}(t,e))}}t.makeCalcdata=function(e,i){var a,o,s=e[i],l=e._length,c=function(r){return t.d2c(r,e.thetaunit)};if(s){if(n.isTypedArray(s)&&\"linear\"===r){if(l===s.length)return s;if(s.subarray)return s.subarray(0,l)}for(a=new Array(l),o=0;o0?1:0}function i(t){var e=t[0],r=t[1];if(!isFinite(e)||!isFinite(r))return[1,0];var n=(e+1)*(e+1)+r*r;return[(e*e+r*r-1)/n,2*r/n]}function a(t,e){var r=e[0],n=e[1];return[r*t.radius+t.cx,-n*t.radius+t.cy]}function o(t,e){return e*t.radius}e.exports={smith:i,reactanceArc:function(t,e,r,n){var s=a(t,i([r,e])),l=s[0],c=s[1],u=a(t,i([n,e])),f=u[0],h=u[1];if(0===e)return[\"M\"+l+\",\"+c,\"L\"+f+\",\"+h].join(\" \");var p=o(t,1/Math.abs(e));return[\"M\"+l+\",\"+c,\"A\"+p+\",\"+p+\" 0 0,\"+(e<0?1:0)+\" \"+f+\",\"+h].join(\" \")},resistanceArc:function(t,e,r,s){var l=o(t,1/(e+1)),c=a(t,i([e,r])),u=c[0],f=c[1],h=a(t,i([e,s])),p=h[0],d=h[1];if(n(r)!==n(s)){var g=a(t,i([e,0]));return[\"M\"+u+\",\"+f,\"A\"+l+\",\"+l+\" 0 0,\"+(00){for(var n=[],i=0;i=u&&(h.min=0,d.min=0,m.min=0,t.aaxis&&delete t.aaxis.min,t.baxis&&delete t.baxis.min,t.caxis&&delete t.caxis.min)}function g(t,e,r,n){var i=h[e._name];function o(r,n){return a.coerce(t,e,i,r,n)}o(\"uirevision\",n.uirevision),e.type=\"linear\";var p=o(\"color\"),d=p!==i.color.dflt?p:r.font.color,g=e._name.charAt(0).toUpperCase(),m=\"Component 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S=M.prototype;S.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},S.plot=function(t,e){var r=e[this.id],n=e._size;this._hasClipOnAxisFalse=!1;for(var i=0;iE*b?i=(a=b)*E:a=(i=x)/E,o=v*i/x,l=y*a/b,r=e.l+e.w*g-i/2,n=e.t+e.h*(1-m)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[g-o/2,g+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[m-l/2,m+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var S=p.baxis=h({},t.baxis,{range:[_-w-k,T],side:\"bottom\",domain:p.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:i});f(S,p.graphDiv._fullLayout),S.setScale();var L=p.caxis=h({},t.caxis,{range:[_-w-T,k],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(L,p.graphDiv._fullLayout),L.setScale();var C=\"M\"+r+\",\"+(n+a)+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDef.select(\"path\").attr(\"d\",C),p.layers.plotbg.select(\"path\").attr(\"d\",C);var P=\"M0,\"+a+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDefRelative.select(\"path\").attr(\"d\",P);var I=s(r,n);p.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",I),p.clipDefRelative.select(\"path\").attr(\"transform\",null);var O=s(r-S._offset,n+a);p.layers.baxis.attr(\"transform\",O),p.layers.bgrid.attr(\"transform\",O);var z=s(r+i/2,n)+\"rotate(30)\"+s(0,-M._offset);p.layers.aaxis.attr(\"transform\",z),p.layers.agrid.attr(\"transform\",z);var D=s(r+i/2,n)+\"rotate(-30)\"+s(0,-L._offset);p.layers.caxis.attr(\"transform\",D),p.layers.cgrid.attr(\"transform\",D),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(c.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(c.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",L.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(c.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),u.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var e=this.graphDiv,r=this.id.substr(7)+\"title\",n=this.layers,i=this.aaxis,a=this.baxis,o=this.caxis;if(this.drawAx(i),this.drawAx(a),this.drawAx(o),t){var s=Math.max(i.showticklabels?i.tickfont.size/2:0,(o.showticklabels?.75*o.tickfont.size:0)+(\"outside\"===o.ticks?.87*o.ticklen:0)),c=(a.showticklabels?a.tickfont.size:0)+(\"outside\"===a.ticks?a.ticklen:0)+3;n[\"a-title\"]=b.draw(e,\"a\"+r,{propContainer:i,propName:this.id+\".aaxis.title\",placeholder:l(e,\"Click to enter Component A title\"),attributes:{x:this.x0+this.w/2,y:this.y0-i.title.font.size/3-s,\"text-anchor\":\"middle\"}}),n[\"b-title\"]=b.draw(e,\"b\"+r,{propContainer:a,propName:this.id+\".baxis.title\",placeholder:l(e,\"Click to enter Component B title\"),attributes:{x:this.x0-c,y:this.y0+this.h+.83*a.title.font.size+c,\"text-anchor\":\"middle\"}}),n[\"c-title\"]=b.draw(e,\"c\"+r,{propContainer:o,propName:this.id+\".caxis.title\",placeholder:l(e,\"Click to enter Component C 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L=A.MINZOOM/2+.87,C=\"m-0.87,.5h\"+L+\"v3h-\"+(L+5.2)+\"l\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l2.6,1.5l-\"+L/2+\",\"+.87*L+\"Z\",P=\"m0.87,.5h-\"+L+\"v3h\"+(L+5.2)+\"l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-2.6,1.5l\"+L/2+\",\"+.87*L+\"Z\",I=\"m0,1l\"+L/2+\",\"+.87*L+\"l2.6,-1.5l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-\"+(L/2+2.6)+\",\"+(.87*L+4.5)+\"l2.6,1.5l\"+L/2+\",-\"+.87*L+\"Z\",O=!0;function z(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearSelect=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,f,h,p,d,v,b,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),L=M.graphDiv,D=L._fullLayout._zoomlayer;function R(t){var e={};return e[M.id+\".aaxis.min\"]=t.a,e[M.id+\".baxis.min\"]=t.b,e[M.id+\".caxis.min\"]=t.c,e}function F(t,e){var r=L._fullLayout.clickmode;z(L),2===t&&(L.emit(\"plotly_doubleclick\",null),a.call(\"_guiRelayout\",L,R({a:0,b:0,c:0}))),r.indexOf(\"select\")>-1&&1===t&&w(e,L,[M.xaxis],[M.yaxis],M.id,M.dragOptions),r.indexOf(\"event\")>-1&&m.click(L,e,M.id)}function B(t,e){return 1-e/M.h}function N(t,e){return 1-(t+(M.h-e)/Math.sqrt(3))/M.w}function j(t,e){return(t-(M.h-e)/Math.sqrt(3))/M.w}function U(i,a){var o=r+i*t,s=n+a*e,l=Math.max(0,Math.min(1,B(0,n),B(0,s))),c=Math.max(0,Math.min(1,N(r,n),N(o,s))),u=Math.max(0,Math.min(1,j(r,n),j(o,s))),g=(l/2+u)*M.w,m=(1-l/2-c)*M.w,y=(g+m)/2,x=m-g,_=(1-l)*M.h,w=_-x/E;x.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),k.transition().style(\"opacity\",1).duration(200),b=!0),L.emit(\"plotly_relayouting\",R(p))}function V(){z(L),p!==f&&(a.call(\"_guiRelayout\",L,R(p)),O&&L.data&&L._context.showTips&&(o.notifier(l(L,\"Double-click to zoom back out\"),\"long\"),O=!1))}function H(t,e){var 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n=t(\"../pie/layout_attributes\").hiddenlabels;e.exports={hiddenlabels:n,funnelareacolorway:{valType:\"colorlist\",editType:\"calc\"},extendfunnelareacolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{\"../pie/layout_attributes\":907}],789:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"funnelareacolorway\",e.colorway),r(\"extendfunnelareacolors\")}},{\"../../lib\":503,\"./layout_attributes\":788}],790:[function(t,e,r){\"use strict\";var 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A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:\"inside\"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr(\"width\",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\"x\",(function(t){return i.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*A})).attr(\"height\",(function(t){return t.thickness*A}))}var C=[g].concat(u.gauge.steps),P=f.selectAll(\"g.bg-bullet\").data(C);P.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),P.select(\"rect\").call(L).call(T),P.exit().remove();var 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u.gauge.threshold.value||0===u.gauge.threshold.value})),z=f.selectAll(\"g.threshold-bullet\").data(O);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",i.c2p(u.gauge.threshold.value)).attr(\"x2\",i.c2p(u.gauge.threshold.value)).attr(\"y1\",(1-u.gauge.threshold.thickness)/2*A).attr(\"y2\",(1-(1-u.gauge.threshold.thickness)/2)*A).call(y.stroke,u.gauge.threshold.line.color).style(\"stroke-width\",u.gauge.threshold.line.width),z.exit().remove();var D=f.selectAll(\"g.gauge-outline\").data([m]);D.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),D.select(\"rect\").call(L).call(T),D.exit().remove()}(t,0,e,{gauge:X,layer:Z,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:m});var J=O.selectAll(\"text.title\").data(e);J.exit().remove(),J.enter().append(\"text\").classed(\"title\",!0),J.attr(\"text-anchor\",(function(){return 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../mesh3d/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;var 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i._trace=a,a.update(e),t.glplot.add(i),a}}},{\"../../../stackgl_modules\":1120,\"../../components/colorscale\":378,\"../../lib/gl_format_color\":499,\"../../lib/str2rgbarray\":528,\"../../plots/gl3d/zip3\":609}],865:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./attributes\"),o=t(\"../../components/colorscale/defaults\");function s(t,e,r,n,a){var s=a(\"isomin\"),l=a(\"isomax\");null!=l&&null!=s&&s>l&&(e.isomin=null,e.isomax=null);var c=a(\"x\"),u=a(\"y\"),f=a(\"z\"),h=a(\"value\");c&&c.length&&u&&u.length&&f&&f.length&&h&&h.length?(i.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],n),a(\"valuehoverformat\"),[\"x\",\"y\",\"z\"].forEach((function(t){a(t+\"hoverformat\");var e=\"caps.\"+t;a(e+\".show\")&&a(e+\".fill\");var 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../surface/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat;e.exports=l({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374}],869:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_mesh3d,i=t(\"../../../stackgl_modules\").delaunay_triangulate,a=t(\"../../../stackgl_modules\").alpha_shape,o=t(\"../../../stackgl_modules\").convex_hull,s=t(\"../../lib/gl_format_color\").parseColorScale,l=t(\"../../lib/str2rgbarray\"),c=t(\"../../components/colorscale\").extractOpts,u=t(\"../../plots/gl3d/zip3\");function f(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var h=f.prototype;function p(t){for(var e=[],r=t.length,n=0;n=e-.5)return!1;return!0}h.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var 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t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(E),S.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;A.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return 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e=t.parcatsViewModel;if(!e.dragDimension&&(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(g),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event)}}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.yf.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragXp.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=z(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),D(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function z(t){for(var e,r=t.graphDiv._fullData,n=0;n=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),ni?1:0}));for(var h=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),g=0;g0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b1?(t.width-80-16)/(n-1):0)*i;var a,o,s,l,c,u=[],f=t.model.maxCats,h=e.categories.length,p=e.count,d=t.height-8*(f-1),g=8*(f-h)/2,m=e.categories.map((function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}}));for(m.sort((function(t,e){return t.displayInd-e.displayInd})),c=0;c0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:a,y:null!==o.dragY?o.dragY:g,bands:[],parcatsViewModel:t},g=g+a+8,u.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:u,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}e.exports=function(t,e,r,n){h(r,t,n,e)}},{\"../../components/drawing\":388,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plot_api/plot_api\":540,\"@plotly/d3\":58,\"d3-interpolate\":116,tinycolor2:312}],887:[function(t,e,r){\"use strict\";var n=t(\"./parcats\");e.exports=function(t,e,r,i){var a=t._fullLayout,o=a._paper,s=a._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,i)}},{\"./parcats\":886}],888:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/layout_attributes\"),a=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:a({editType:\"plot\"}),tickfont:a({editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/plot_template\":543,\"../../plots/cartesian/layout_attributes\":569,\"../../plots/domain\":584,\"../../plots/font_attributes\":585}],889:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"@plotly/d3\"),a=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=t(\"../../lib\").strTranslate,c=n.bar.snapRatio;function u(t,e){return t*(1-c)+e*c}var f=n.bar.snapClose;function h(t,e){return t*(1-f)+e*f}function p(t,e,r,n){if(function(t,e){for(var r=0;r=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var i=t?-1:1,a=0,o=e.length-1;if(i<0){var s=a;a=o,o=s}for(var l=e[a],c=l,f=a;i*fe){h=r;break}}if(a=u,isNaN(a)&&(a=isNaN(f)||isNaN(h)?isNaN(f)?h:f:e-c[f][1]t[1]+r||e=.9*t[1]+.1*t[0]?\"n\":e<=.9*t[0]+.1*t[1]?\"s\":\"ns\"}(d,e);g&&(o.interval=l[a],o.intervalPix=d,o.region=g)}}if(t.ordinal&&!o.region){var m=t.unitTickvals,y=t.unitToPaddedPx.invert(e);for(r=0;r=x[0]&&y<=x[1]){o.clickableOrdinalRange=x;break}}}return o}function w(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.brush.svgBrush;a.wasDragged=!0,a._dragging=!0,a.grabbingBar?a.newExtent=[r-a.grabPoint,r+a.barLength-a.grabPoint].map(e.unitToPaddedPx.invert):a.newExtent=[a.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,a.extent=a.stayingIntervals.concat([a.newExtent]),a.brushCallback(e),b(t.parentNode)}function T(t,e){var r=_(e,e.height-i.mouse(t)[1]-2*n.verticalPadding),a=\"crosshair\";r.clickableOrdinalRange?a=\"pointer\":r.region&&(a=r.region+\"-resize\"),i.select(document.body).style(\"cursor\",a)}function k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||y()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,y(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),c?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e){var r=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);r.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e){var r=t.selectAll(\".background\").data(o);r.enter().append(\"rect\").classed(\"background\",!0).call(d).call(g).style(\"pointer-events\",\"auto\").attr(\"transform\",l(0,n.verticalPadding)),r.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var i=t.selectAll(\".highlight-shadow\").data(o);i.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),i.attr(\"y1\",(function(t){return t.height})).call(x);var a=t.selectAll(\".highlight\").data(o);a.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",(function(t){return t.height})).call(x)}(r,e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":503,\"../../lib/gup\":500,\"./constants\":892,\"@plotly/d3\":58}],890:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/get_data\").getModuleCalcData,a=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.style.width,height:this.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":480,\"../../plots/get_data\":593,\"./plot\":899,\"@plotly/d3\":58}],891:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,i=t(\"../../components/colorscale\"),a=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;rf&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the moment\"),d.splice(f));var g=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),m=function(t,e,r,o,s){var l=s(\"line.color\",r);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(g)&&g.length||(e.visible=!1),h(e,g,\"values\",m);var v={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,\"labelfont\",v),n.coerceFont(u,\"tickfont\",v),n.coerceFont(u,\"rangefont\",v),u(\"labelangle\"),u(\"labelside\")}},{\"../../components/colorscale/defaults\":376,\"../../components/colorscale/helpers\":377,\"../../lib\":503,\"../../plots/array_container_defaults\":549,\"../../plots/cartesian/axes\":554,\"../../plots/domain\":584,\"./attributes\":888,\"./axisbrush\":889,\"./constants\":892,\"./merge_length\":897}],894:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return 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hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n return (\\n fOutside(p[0], lo[0], hi[0]) ||\\n fOutside(p[1], lo[1], hi[1]) ||\\n fOutside(p[2], lo[2], hi[2]) ||\\n fOutside(p[3], lo[3], hi[3])\\n );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n return (\\n vOutside(p[0], lo[0], hi[0]) ||\\n vOutside(p[1], lo[1], hi[1]) ||\\n vOutside(p[2], lo[2], hi[2]) ||\\n vOutside(p[3], lo[3], hi[3])\\n );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n return mOutside(A, loA, hiA) ||\\n mOutside(B, loB, hiB) ||\\n mOutside(C, loC, hiC) ||\\n mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n mat4 pnts[4];\\n pnts[0] = A;\\n pnts[1] = B;\\n pnts[2] = C;\\n pnts[3] = D;\\n\\n for(int i = 0; i < 4; ++i) {\\n for(int j = 0; j < 4; ++j) {\\n for(int k = 0; k < 4; ++k) {\\n if(0 == iMod(\\n int(255.0 * texture2D(maskTexture,\\n vec2(\\n (float(i * 2 + j / 2) + 0.5) / 8.0,\\n (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n ))[3]\\n ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n 2\\n )) return true;\\n }\\n }\\n }\\n return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n float x = 0.5 * sign(v) + 0.5;\\n float y = axisY(x, A, B, C, D);\\n float z = 1.0 - abs(v);\\n\\n z += isContext ? 0.0 : 2.0 * float(\\n outsideBoundingBox(A, B, C, D) ||\\n outsideRasterMask(A, B, C, D)\\n );\\n\\n return vec4(\\n 2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n z,\\n 1.0\\n );\\n}\\n\\nvoid main() {\\n mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n float v = colors[3];\\n\\n gl_Position = position(isContext, v, A, B, C, D);\\n\\n fragColor =\\n isContext ? vec4(contextColor) :\\n isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),i=0,a=0;au&&(u=t[i].dim1.canvasX,o=i);0===s&&f(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&no._length&&(S=S.slice(0,o._length));var L,C=o.tickvals;function P(t,e){return{val:t,text:L[e]}}function I(t,e){return 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Z=Y.selectAll(\".\"+y.cn.axisExtentBottom).data(g,d);Z.enter().append(\"g\").classed(y.cn.axisExtentBottom,!0),Z.attr(\"transform\",(function(t){return c(0,t.model.height+y.axisExtentOffset)}));var J=Z.selectAll(\".\"+y.cn.axisExtentBottomText).data(g,d);J.enter().append(\"text\").classed(y.cn.axisExtentBottomText,!0).attr(\"dy\",\"0.75em\").call(P),J.text((function(t){return D(t,!1)})).each((function(t){f.font(n.select(this),t.model.rangeFont)})),x.ensureAxisBrush(V,T)}},{\"../../components/colorscale\":378,\"../../components/drawing\":388,\"../../lib\":503,\"../../lib/gup\":500,\"../../lib/svg_text_utils\":529,\"../../plots/cartesian/axes\":554,\"./axisbrush\":889,\"./constants\":892,\"./helpers\":894,\"./lines\":896,\"@plotly/d3\":58,\"color-rgba\":91}],899:[function(t,e,r){\"use strict\";var n=t(\"./parcoords\"),i=t(\"../../lib/prepare_regl\"),a=t(\"./helpers\").isVisible;function o(t,e,r){var n=e.indexOf(r),i=t.indexOf(n);return-1===i&&(i+=e.length),i}e.exports=function(t,e){var r=t._fullLayout;if(i(t)){var s={},l={},c={},u={},f=r._size;e.forEach((function(e,r){var n=e[0].trace;c[r]=n.index;var i=u[r]=n._fullInput.index;s[r]=t.data[i].dimensions,l[r]=t.data[i].dimensions.slice()}));n(t,e,{width:f.w,height:f.h,margin:{t:f.t,r:f.r,b:f.b,l:f.l}},{filterChanged:function(e,n,i){var a=l[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",f=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===f[s]){var h=a.constraintrange;f[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[u[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return o(t,e,r)-o(t,e,n)}}(r,l[e].filter(a));s[e].sort(n),l[e].filter((function(t){return!a(t)})).sort((function(t){return l[e].indexOf(t)})).forEach((function(t){s[e].splice(s[e].indexOf(t),1),s[e].splice(l[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[s[e]]},[u[e]]])}})}}},{\"../../lib/prepare_regl\":516,\"./helpers\":894,\"./parcoords\":898}],900:[function(t,e,r){\"use strict\";var n=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,a=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top 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right\"],editType:\"calc\"}}}},{\"../../components/color/attributes\":365,\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/domain\":584,\"../../plots/font_attributes\":585,\"../../plots/template_attributes\":633}],901:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"pie\",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{\"../../plots/plots\":619}],902:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"tinycolor2\"),a=t(\"../../components/color\"),o={};function s(t){return function(e,r){return!!e&&(!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r=0})),(\"funnelarea\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=m),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c(\"labels\"),c(\"values\")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),f){e._length=f,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var h,p=c(\"text\"),d=c(\"texttemplate\");if(d||(h=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||h&&\"none\"!==h){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var m=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",m?\"middle center\":\"top center\");m||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":503,\"../../plots/domain\":584,\"../bar/defaults\":652,\"./attributes\":900,\"fast-isnumeric\":190}],904:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":402}],905:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:m.castOption(_.bgcolor,t.pts)||t.color,borderColor:m.castOption(_.bordercolor,t.pts),fontFamily:m.castOption(w.family,t.pts),fontSize:m.castOption(w.size,t.pts),fontColor:m.castOption(w.color,t.pts),nameLength:m.castOption(_.namelength,t.pts),textAlign:m.castOption(_.align,t.pts),hovertemplate:m.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[v(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[v(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=m.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=m.castOption(t._input.textfont.color,e.pts));var i=m.castOption(t.insidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.insidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;ie&&e>n||r=-4;m-=2)v(Math.PI*m,\"tan\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+1),\"tan\")}if(f||p){for(m=4;m>=-4;m-=2)v(Math.PI*(m+1.5),\"rad\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+.5),\"rad\")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;g.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a));for(var x=0,b=0,_=0;_=1)break}return g[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?f*=2:-1!==a.title.position.indexOf(\"right\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;er&&(r=t.pull[e]);return r}function O(t,e){for(var r=[],n=0;n1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:m.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:m.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=m.getFirstFilled(i.text,e.pts);(y(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d(\"pie\",r),_(e,t),O(e,a);var h=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var h=n.select(this),d=e[0],g=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=m.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;ei.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr(\"stroke-linejoin\",\"round\"),h.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=g.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll(\"path.surface\").data([i]);if(h.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),u.call(x,t,e),g.pull){var v=+m.castOption(g.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=g.hole;if(i.v===d.vTotal){var k=\"M\"+(o+i.px0[0])+\",\"+(c+i.px0[1])+C(i.px0,i.pxmid,!0,1)+C(i.pxmid,i.px0,!0,1)+\"Z\";T?h.attr(\"d\",\"M\"+(o+T*i.px0[0])+\",\"+(c+T*i.px0[1])+C(i.px0,i.pxmid,!1,T)+C(i.pxmid,i.px0,!1,T)+\"Z\"+k):h.attr(\"d\",k)}else{var A=C(i.px0,i.px1,!0,1);if(T){var M=1-T;h.attr(\"d\",\"M\"+(o+T*i.px1[0])+\",\"+(c+T*i.px1[1])+C(i.px1,i.px0,!1,T)+\"l\"+M*i.px0[0]+\",\"+M*i.px0[1]+A+\"Z\")}else h.attr(\"d\",\"M\"+o+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+A+\"Z\")}D(t,i,d);var S=m.castOption(g.textposition,i.pts),E=u.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==S?[0]:[]);E.enter().append(\"g\").classed(\"slicetext\",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===S?function(t,e,r){var n=m.castOption(t.outsidetextfont.color,e.pts)||m.castOption(t.textfont.color,e.pts)||r.color,i=m.castOption(t.outsidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.outsidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(g,i,r.font):b(g,i,r.font));u.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if(\"outside\"===S)v=L(y,i);else if(v=w(y,i,d),\"auto\"===S&&v.scale<1){var x=l.ensureUniformFontSize(t,g.outsidetextfont);u.call(s.font,x),v=L(y=s.bBox(u.node()),i)}var T=v.textPosAngle,k=void 0===T?i.pxmid:z(d.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=c+k[1]*v.rCenter+(v.y||0),R(v,y),v.outside){var A=v.targetY;i.yLabelMin=A-y.height/2,i.yLabelMid=A,i.yLabelMax=A+y.height/2,i.labelExtraX=0,i.labelExtraY=0,_=!0}v.fontSize=h.size,p(g.type,v,r),e[a].transform=v,u.attr(\"transform\",l.getTextTransform(v))}))}function C(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*d.r+\",\"+n*d.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var T=n.select(this).selectAll(\"g.titletext\").data(g.title.text?[0]:[]);if(T.enter().append(\"g\").classed(\"titletext\",!0),T.exit().remove(),T.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=g.title.text;g._meta&&(i=l.templateString(i,g._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,g.title.font).call(f.convertToTspans,t),e=\"middle center\"===g.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(d):C(d,a),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),_&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function g(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var i,c,u,h,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),d=n?t.yLabelMin:t.yLabelMax,g=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-d;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c=(m.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-d-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(g+t.labelExtraY-v)*l>0&&(i=3*s*Math.abs(c-f.indexOf(t)),(h=u.cxFinal+a(u.px0[0],u.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=h)))}for(n=0;n<2;n++)for(i=n?g:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),u=t[1-n][r],f=u.concat(c),p=[],h=0;hMath.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(f-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(v,g),_&&g.automargin){var k=s.bBox(h.node()),A=g.domain,M=a.w*(A.x[1]-A.x[0]),S=a.h*(A.y[1]-A.y[0]),E=(.5*M-d.r)/a.w,P=(.5*S-d.r)/a.h;i.autoMargin(t,\"pie.\"+g.uid+\".automargin\",{xl:A.x[0]-E,xr:A.x[1]+E,yb:A.y[0]-P,yt:A.y[1]+P,l:Math.max(d.cx-d.r-k.left,0),r:Math.max(k.right-(d.cx+d.r),0),b:Math.max(k.bottom-(d.cy+d.r),0),t:Math.max(d.cy-d.r-k.top,0),pad:5})}}))}));setTimeout((function(){h.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:O,attachFxHandlers:x,computeTransform:R}},{\"../../components/color\":366,\"../../components/drawing\":388,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plots/plots\":619,\"../bar/constants\":650,\"../bar/uniform_text\":664,\"./event_data\":904,\"./helpers\":905,\"@plotly/d3\":58}],910:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"./style_one\"),a=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each((function(t){n.select(this).call(i,t,e)}))}))}},{\"../bar/uniform_text\":664,\"./style_one\":911,\"@plotly/d3\":58}],911:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"./helpers\").castOption;e.exports=function(t,e,r){var a=r.marker.line,o=i(a.color,e.pts)||n.defaultLine,s=i(a.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":366,\"./helpers\":905}],912:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":926}],913:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_pointcloud2d,i=t(\"../../lib/str2rgbarray\"),a=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;ld[2]&&(d[2]=o),sd[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;ld[2]&&(d[2]=o),sd[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var g=i(t.marker.color),m=i(t.marker.border.color),v=t.opacity*t.marker.opacity;g[3]*=v,this.pointcloudOptions.color=g;var y=t.marker.blend;if(null===y){y=c.length<100||u.length<100}this.pointcloudOptions.blend=y,m[3]*=v,this.pointcloudOptions.borderColor=m;var x=t.marker.sizemin,b=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=b,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var _=this.scene.xaxis,w=this.scene.yaxis,T=b/2||.5;t._extremes[_._id]=a(_,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=a(w,[d[1],d[3]],{ppad:T})},l.dispose=function(){this.pointcloud.dispose()},e.exports=function(t,e){var r=new s(t,e.uid);return r.update(e),r}},{\"../../../stackgl_modules\":1120,\"../../lib/str2rgbarray\":528,\"../../plots/cartesian/autorange\":553,\"../scatter/get_trace_color\":936}],914:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\");e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a(\"text\"),a(\"marker.color\",r),a(\"marker.opacity\"),a(\"marker.blend\"),a(\"marker.sizemin\"),a(\"marker.sizemax\"),a(\"marker.border.color\",r),a(\"marker.border.arearatio\"),e._length=null}},{\"../../lib\":503,\"./attributes\":912}],915:[function(t,e,r){\"use strict\";[\"*pointcloud* trace is deprecated!\",\"Please consider switching to the *scattergl* trace type.\"].join(\" 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h={_id:\"x\",c2p:u.identity,_offset:r._sankey.translateX,_length:r._sankey.width},p={_id:\"y\",c2p:u.identity,_offset:r._sankey.translateY,_length:r._sankey.height},d={gd:t,element:o.node(),plotinfo:{id:e,xaxis:h,yaxis:p,fillRangeItems:u.noop},subplot:e,xaxes:[h],yaxes:[p],doneFnCompleted:function(r){var n,i=t._fullData[e],a=i.node.groups.slice(),o=[];function s(t){for(var e=i._sankey.graph.nodes,r=0;ry&&(y=a.source[e]),a.target[e]>y&&(y=a.target[e]);var x,b=y+1;t.node._count=b;var _=t.node.groups,w={};for(e=0;e<_.length;e++){var T=_[e];for(x=0;x0&&s(E,b)&&s(L,b)&&(!w.hasOwnProperty(E)||!w.hasOwnProperty(L)||w[E]!==w[L])){w.hasOwnProperty(L)&&(L=w[L]),w.hasOwnProperty(E)&&(E=w[E]),L=+L,h[E=+E]=h[L]=!0;var C=\"\";a.label&&a.label[e]&&(C=a.label[e]);var P=null;C&&p.hasOwnProperty(C)&&(P=p[C]),c.push({pointNumber:e,label:C,color:u?a.color[e]:a.color,customdata:f?a.customdata[e]:a.customdata,concentrationscale:P,source:E,target:L,value:+S}),M.source.push(E),M.target.push(L)}}var I=b+_.length,O=o(r.color),z=o(r.customdata),D=[];for(e=0;eb-1,childrenNodes:[],pointNumber:e,label:R,color:O?r.color[e]:r.color,customdata:z?r.customdata[e]:r.customdata})}var F=!1;return function(t,e,r){for(var a=i.init2dArray(t,0),o=0;o1}))}(I,M.source,M.target)&&(F=!0),{circular:F,links:c,nodes:D,groups:_,groupLookup:w}}e.exports=function(t,e){var r=c(e);return a({circular:r.circular,_nodes:r.nodes,_links:r.links,_groups:r.groups,_groupLookup:r.groupLookup})}},{\"../../components/colorscale\":378,\"../../lib\":503,\"../../lib/gup\":500,\"strongly-connected-components\":306}],919:[function(t,e,r){\"use 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n.coerce(g,m,i.node,t,e)}v(\"label\"),v(\"groups\"),v(\"x\"),v(\"y\"),v(\"pad\"),v(\"thickness\"),v(\"line.color\"),v(\"line.width\"),v(\"hoverinfo\",t.hoverinfo),l(g,m,v,d),v(\"hovertemplate\");var y=h.colorway;v(\"color\",m.label.map((function(t,e){return a.addOpacity(function(t){return y[t%y.length]}(e),.8)}))),v(\"customdata\");var x=t.link||{},b=c.newContainer(e,\"link\");function _(t,e){return n.coerce(x,b,i.link,t,e)}_(\"label\"),_(\"source\"),_(\"target\"),_(\"value\"),_(\"line.color\"),_(\"line.width\"),_(\"hoverinfo\",t.hoverinfo),l(x,b,_,d),_(\"hovertemplate\");var w,T=o(h.paper_bgcolor).getLuminance()<.333?\"rgba(255, 255, 255, 0.6)\":\"rgba(0, 0, 0, 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.numberFormat,o=t(\"./render\"),s=t(\"../../components/fx\"),l=t(\"../../components/color\"),c=t(\"./constants\").cn,u=i._;function f(t){return\"\"!==t}function h(t,e){return t.filter((function(t){return t.key===e.traceId}))}function p(t,e){n.select(t).select(\"path\").style(\"fill-opacity\",e),n.select(t).select(\"rect\").style(\"fill-opacity\",e)}function d(t){n.select(t).select(\"text.name\").style(\"fill\",\"black\")}function g(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function m(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function v(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(g(e)).call(x.bind(0,e,r,!1))}function y(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(g(e)).call(b.bind(0,e,r,!1))}function x(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),r&&h(e,t).selectAll(\".\"+c.sankeyNode).filter(m(t)).call(v)}function b(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(c.sankeyNode).filter(m(t)).call(y)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}e.exports=function(t,e){for(var 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a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(y,r,i),s.click(t,{target:!0})}}})}},{\"../../components/color\":366,\"../../components/fx\":406,\"../../lib\":503,\"./constants\":919,\"./render\":923,\"@plotly/d3\":58}],923:[function(t,e,r){\"use strict\";var n=t(\"d3-force\"),i=t(\"d3-interpolate\").interpolateNumber,a=t(\"@plotly/d3\"),o=t(\"@plotly/d3-sankey\"),s=t(\"@plotly/d3-sankey-circular\"),l=t(\"./constants\"),c=t(\"tinycolor2\"),u=t(\"../../components/color\"),f=t(\"../../components/drawing\"),h=t(\"../../lib\"),p=h.strTranslate,d=h.strRotate,g=t(\"../../lib/gup\"),m=g.keyFun,v=g.repeat,y=g.unwrap,x=t(\"../../lib/svg_text_utils\"),b=t(\"../../registry\"),_=t(\"../../constants/alignment\"),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=y(e),a=i.trace,u=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,g=t.width*(u.x[1]-u.x[0]),m=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[g,m]:[m,g]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var A in n.nodePadding()=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" 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a=e.layers.frontplot.select(\"g.scatterlayer\"),o={xaxis:e.xaxis,yaxis:e.yaxis,plot:e.framework,layerClipId:e._hasClipOnAxisFalse?e.clipIds.forTraces:null},s=e.radialAxis,l=e.angularAxis,c=0;c=c&&(y.marker.cluster=d.tree),y.marker&&(y.markerSel.positions=y.markerUnsel.positions=y.marker.positions=_),y.line&&_.length>1&&l.extendFlat(y.line,s.linePositions(t,p,_)),y.text&&(l.extendFlat(y.text,{positions:_},s.textPosition(t,p,y.text,y.marker)),l.extendFlat(y.textSel,{positions:_},s.textPosition(t,p,y.text,y.markerSel)),l.extendFlat(y.textUnsel,{positions:_},s.textPosition(t,p,y.text,y.markerUnsel))),y.fill&&!h.fill2d&&(h.fill2d=!0),y.marker&&!h.scatter2d&&(h.scatter2d=!0),y.line&&!h.line2d&&(h.line2d=!0),y.text&&!h.glText&&(h.glText=!0),h.lineOptions.push(y.line),h.fillOptions.push(y.fill),h.markerOptions.push(y.marker),h.markerSelectedOptions.push(y.markerSel),h.markerUnselectedOptions.push(y.markerUnsel),h.textOptions.push(y.text),h.textSelectedOptions.push(y.textSel),h.textUnselectedOptions.push(y.textUnsel),h.selectBatch.push([]),h.unselectBatch.push([]),d.x=w,d.y=T,d.rawx=w,d.rawy=T,d.r=m,d.theta=v,d.positions=_,d._scene=h,d.index=h.count,h.count++}})),a(t,e,r)}}},{\"../../lib\":503,\"../scattergl/constants\":980,\"../scattergl/convert\":981,\"../scattergl/plot\":988,\"../scattergl/scene_update\":989,\"@plotly/point-cluster\":59,\"fast-isnumeric\":190}],1014:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../../lib/extend\").extendFlat,o=t(\"../scatter/attributes\"),s=t(\"../../plots/attributes\"),l=o.line;e.exports={mode:o.mode,real:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},imag:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},text:o.text,texttemplate:i({editType:\"plot\"},{keys:[\"real\",\"imag\",\"text\"]}),hovertext:o.hovertext,line:{color:l.color,width:l.width,dash:l.dash,shape:a({},l.shape,{values:[\"linear\",\"spline\"]}),smoothing:l.smoothing,editType:\"calc\"},connectgaps:o.connectgaps,marker:o.marker,cliponaxis:a({},o.cliponaxis,{dflt:!1}),textposition:o.textposition,textfont:o.textfont,fill:a({},o.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:o.fillcolor,hoverinfo:a({},s.hoverinfo,{flags:[\"real\",\"imag\",\"text\",\"name\"]}),hoveron:o.hoveron,hovertemplate:n(),selected:o.selected,unselected:o.unselected}},{\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/template_attributes\":633,\"../scatter/attributes\":926}],1015:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../scatter/colorscale_calc\"),o=t(\"../scatter/arrays_to_calcdata\"),s=t(\"../scatter/calc_selection\"),l=t(\"../scatter/calc\").calcMarkerSize;e.exports=function(t,e){for(var r=t._fullLayout,c=e.subplot,u=r[c].realaxis,f=r[c].imaginaryaxis,h=u.makeCalcdata(e,\"real\"),p=f.makeCalcdata(e,\"imag\"),d=e._length,g=new Array(d),m=0;m\")}}e.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,c=s.cd[s.index],u=s.trace;if(l.isPtInside(c))return s.xLabelVal=void 0,s.yLabelVal=void 0,i(c,u,l,s),s.hovertemplate=u.hovertemplate,o}},makeHoverPointText:i}},{\"../scatter/hover\":937}],1019:[function(t,e,r){\"use strict\";e.exports={moduleType:\"trace\",name:\"scattersmith\",basePlotModule:t(\"../../plots/smith\"),categories:[\"smith\",\"symbols\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),style:t(\"../scatter/style\").style,styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\").hoverPoints,selectPoints:t(\"../scatter/select\"),meta:{}}},{\"../../plots/smith\":629,\"../scatter/marker_colorbar\":944,\"../scatter/select\":948,\"../scatter/style\":950,\"./attributes\":1014,\"./calc\":1015,\"./defaults\":1016,\"./format_labels\":1017,\"./hover\":1018,\"./plot\":1020}],1020:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../../plots/smith/helpers\").smith;e.exports=function(t,e,r){for(var o=e.layers.frontplot.select(\"g.scatterlayer\"),s={xaxis:e.xaxis,yaxis:e.yaxis,plot:e.framework,layerClipId:e._hasClipOnAxisFalse?e.clipIds.forTraces:null},l=0;l\"),o.hovertemplate=h.hovertemplate,a}function x(t,e){v.push(t._hovertitle+\": \"+e)}}},{\"../scatter/hover\":937}],1027:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),style:t(\"../scatter/style\").style,styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\"),selectPoints:t(\"../scatter/select\"),eventData:t(\"./event_data\"),moduleType:\"trace\",name:\"scatterternary\",basePlotModule:t(\"../../plots/ternary\"),categories:[\"ternary\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}},{\"../../plots/ternary\":634,\"../scatter/marker_colorbar\":944,\"../scatter/select\":948,\"../scatter/style\":950,\"./attributes\":1021,\"./calc\":1022,\"./defaults\":1023,\"./event_data\":1024,\"./format_labels\":1025,\"./hover\":1026,\"./plot\":1028}],1028:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\");e.exports=function(t,e,r){var i=e.plotContainer;i.select(\".scatterlayer\").selectAll(\"*\").remove();var a={xaxis:e.xaxis,yaxis:e.yaxis,plot:i,layerClipId:e._hasClipOnAxisFalse?e.clipIdRelative:null},o=e.layers.frontplot.select(\"g.scatterlayer\");n(t,a,r,o)}},{\"../scatter/plot\":947}],1029:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../scattergl/attributes\"),l=t(\"../../plots/cartesian/constants\").idRegex,c=t(\"../../plot_api/plot_template\").templatedArray,u=t(\"../../lib/extend\").extendFlat,f=n.marker,h=f.line,p=u(i(\"marker.line\",{editTypeOverride:\"calc\"}),{width:u({},h.width,{editType:\"calc\"}),editType:\"calc\"}),d=u(i(\"marker\"),{symbol:f.symbol,size:u({},f.size,{editType:\"markerSize\"}),sizeref:f.sizeref,sizemin:f.sizemin,sizemode:f.sizemode,opacity:f.opacity,colorbar:f.colorbar,line:p,editType:\"calc\"});function 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h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var 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g(t,e){if(t0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=m(t),n=m(e),i=1,a=0;a_;)r--,r/=v(r),++r1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];ea&&(this.minValues[e]=a),this.maxValues[e]\",maxDimensionCount:60,overdrag:45,releaseTransitionDuration:120,releaseTransitionEase:\"cubic-out\",scrollbarCaptureWidth:18,scrollbarHideDelay:1e3,scrollbarHideDuration:1e3,scrollbarOffset:5,scrollbarWidth:8,transitionDuration:100,transitionEase:\"cubic-out\",uplift:5,wrapSpacer:\" \",wrapSplitCharacter:\" 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e=0,r=0;r=e||c===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=c,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=c+1,a=0);return n}e.exports=function(t,e){var r=l(e.cells.values),p=function(t){return t.slice(e.header.values.length,t.length)},d=l(e.header.values);d.length&&!d[0].length&&(d[0]=[\"\"],d=l(d));var g=d.concat(p(r).map((function(){return c((d[0]||[\"\"]).length)}))),m=e.domain,v=Math.floor(t._fullLayout._size.w*(m.x[1]-m.x[0])),y=Math.floor(t._fullLayout._size.h*(m.y[1]-m.y[0])),x=e.header.values.length?g[0].map((function(){return e.header.height})):[n.emptyHeaderHeight],b=r.length?r[0].map((function(){return e.cells.height})):[],_=x.reduce(s,0),w=h(b,y-_+n.uplift),T=f(h(x,_),[]),k=f(w,T),A={},M=e._fullInput.columnorder.concat(p(r.map((function(t,e){return e})))),S=g.map((function(t,r){var n=Array.isArray(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:e.columnwidth;return a(n)?Number(n):1})),E=S.reduce(s,0);S=S.map((function(t){return t/E*v}));var L=Math.max(o(e.header.line.width),o(e.cells.line.width)),C={key:e.uid+t._context.staticPlot,translateX:m.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-m.y[1]),size:t._fullLayout._size,width:v,maxLineWidth:L,height:y,columnOrder:M,groupHeight:y,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:g}),gdColumns:g.map((function(t){return t[0]})),gdColumnsOriginalOrder:g.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:g.map((function(t,e){var r=A[t];return A[t]=(r||0)+1,{key:t+\"__\"+A[t],label:t,specIndex:e,xIndex:M[e],xScale:u,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return C.columns.forEach((function(t){t.calcdata=C,t.x=u(t)})),C}},{\"../../lib/extend\":493,\"./constants\":1065,\"fast-isnumeric\":190}],1067:[function(t,e,r){\"use strict\";var n=t(\"../../lib/extend\").extendFlat;r.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:\"header\",type:\"header\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:\"cells1\",type:\"cells\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:\"cells2\",type:\"cells\",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},r.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0,n=e?r+e.rows.length:0;return[r,n]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+(\"string\"==typeof r&&r.match(/[<$&> 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f,h,p=u?\"\":T(t.calcdata.cells.prefix,e,r)||\"\",d=u?\"\":T(t.calcdata.cells.suffix,e,r)||\"\",g=u?null:T(t.calcdata.cells.format,e,r)||null,m=p+(g?a(g)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!u&&(f=w(m)),t.cellHeightMayIncrease=s||u||t.mayHaveMarkup||(void 0===f?w(m):f),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var v=(\" \"===n.wrapSplitCharacter?m.replace(/i&&n.push(a),i+=l}return n}(i,l,s);1===c.length&&(c[0]===i.length-1?c.unshift(c[0]-1):c.push(c[0]+1)),c[0]%2&&c.reverse(),e.each((function(t,e){t.page=c[e],t.scrollY=l})),e.attr(\"transform\",(function(t){var e=D(t.rowBlocks,t.page)-t.scrollY;return u(0,e)})),t&&(C(t,r,e,c,n.prevPages,n,0),C(t,r,e,c,n.prevPages,n,1),x(r,t))}}function L(t,e,r,a){return function(o){var s=o.calcdata?o.calcdata:o,l=e.filter((function(t){return s.key===t.key})),c=r||s.scrollbarState.dragMultiplier,u=s.scrollY;s.scrollY=void 0===a?s.scrollY+c*i.event.dy:a;var f=l.selectAll(\".\"+n.cn.yColumn).selectAll(\".\"+n.cn.columnBlock).filter(A);return E(t,f,l),s.scrollY===u}}function C(t,e,r,n,i,a,o){n[o]!==i[o]&&(clearTimeout(a.currentRepaint[o]),a.currentRepaint[o]=setTimeout((function(){var a=r.filter((function(t,e){return e===o&&n[e]!==i[e]}));b(t,e,a,r),i[o]=n[o]})))}function P(t,e,r,a){return function(){var o=i.select(e.parentNode);o.each((function(t){var e=t.fragments;o.selectAll(\"tspan.line\").each((function(t,r){e[r].width=this.getComputedTextLength()}));var r,i,a=e[e.length-1].width,s=e.slice(0,-1),l=[],c=0,u=t.column.columnWidth-2*n.cellPad;for(t.value=\"\";s.length;)c+(i=(r=s.shift()).width+a)>u&&(t.value+=l.join(n.wrapSpacer)+n.lineBreaker,l=[],c=0),l.push(r.text),c+=i;c&&(t.value+=l.join(n.wrapSpacer)),t.wrapped=!0})),o.selectAll(\"tspan.line\").remove(),_(o.select(\".\"+n.cn.cellText),r,t,a),i.select(e.parentNode.parentNode).call(z)}}function I(t,e,r,a,o){return function(){if(!o.settledY){var 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translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x) / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * 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startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n + positionFract * scale + translateFract\\n + position * scaleFract\\n + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = fragColor;\\n}\\n\"]),uniforms:{scale:t.prop(\"scale\"),color:t.prop(\"fill\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:i,miter:e}},v.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},v.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},v.prototype.draw=function(){for(var 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n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{\"../main\":346,\"object-assign\":247}],339:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{\"../main\":346,\"object-assign\":247}],340:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{\"../main\":346,\"object-assign\":247}],341:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var c=t-this.toJD(l,1,1)+1,u=c<=186?Math.ceil(c/31):Math.ceil((c-6)/30),f=t-this.toJD(l,u,1)+1;return this.newDate(l,u,f)}}),n.calendars.persian=a,n.calendars.jalali=a},{\"../main\":346,\"object-assign\":247}],343:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,i(o.prototype,{name:\"Taiwan\",jdEpoch:2419402.5,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":346,\"object-assign\":247}],344:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,i(o.prototype,{name:\"Thai\",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":346,\"object-assign\":247}],345:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;ar)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;ne);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=t(\"object-assign\");function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;oe-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw this._validateLevel--,t}},_correctAdd:function(t,e,r,n){if(!(this.hasYearZero||\"y\"!==n&&\"m\"!==n||0!==e[0]&&t.year()>0==e[0]>0)){var 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n=t(\"../../plots/font_attributes\"),i=t(\"./layout_attributes\").hoverlabel,a=t(\"../../lib/extend\").extendFlat;e.exports={hoverlabel:{bgcolor:a({},i.bgcolor,{arrayOk:!0}),bordercolor:a({},i.bordercolor,{arrayOk:!0}),font:n({arrayOk:!0,editType:\"none\"}),align:a({},i.align,{arrayOk:!0}),namelength:a({},i.namelength,{arrayOk:!0}),editType:\"none\"}}},{\"../../lib/extend\":493,\"../../plots/font_attributes\":585,\"./layout_attributes\":407}],398:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\");function a(t,e,r,i){i=i||n.identity,Array.isArray(t)&&(e[0][r]=i(t))}e.exports=function(t){var e=t.calcdata,r=t._fullLayout;function o(t){return function(e){return n.coerceHoverinfo({hoverinfo:e},{_module:t._module},r)}}for(var s=0;s=0&&r.index_[0]._length||ot<0||ot>w[0]._length)return d.unhoverRaw(t,e)}if(e.pointerX=at+_[0]._offset,e.pointerY=ot+w[0]._offset,V=\"xval\"in e?v.flat(l,e.xval):v.p2c(_,at),H=\"yval\"in 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Pt=t._hoverdata,It=[],Ot=j(t),zt=U(t);for(q=0;q1||et.length>1)||\"closest\"===P&&it&&et.length>1,Wt=p.combine(u.plot_bgcolor||p.background,u.paper_bgcolor),Xt=I(et,{gd:t,hovermode:P,rotateLabels:Yt,bgColor:Wt,container:u._hoverlayer,outerContainer:u._paper.node(),commonLabelOpts:u.hoverlabel,hoverdistance:u.hoverdistance});v.isUnifiedHover(P)||(!function(t,e,r){var n,i,a,o,s,l,c,u=0,f=1,h=t.size(),p=new Array(h),d=0;function m(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var c=0;for(o=0;oe.pmax&&c++;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,c--);for(o=0;o=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,c--)}}}t.each((function(t){var n=t[e],i=\"x\"===n._id.charAt(0),a=n.range;0===d&&a&&a[0]>a[1]!==i&&(f=-1),p[d++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(i?T:1)/2,pmin:0,pmax:i?r.width:r.height}]})),p.sort((function(t,e){return t[0].posref-e[0].posref||f*(e[0].traceIndex-t[0].traceIndex)}));for(;!n&&u<=h;){for(u++,n=!0,o=0;o.01&&y.pmin===x.pmin&&y.pmax===x.pmax){for(s=v.length-1;s>=0;s--)v[s].dp+=i;for(g.push.apply(g,v),p.splice(o+1,1),c=0,s=g.length-1;s>=0;s--)c+=g[s].dp;for(a=c/g.length,s=g.length-1;s>=0;s--)g[s].dp-=a;n=!1}else o++}p.forEach(m)}for(o=p.length-1;o>=0;o--){var b=p[o];for(s=b.length-1;s>=0;s--){var _=b[s],w=_.datum;w.offset=_.dp,w.del=_.del}}}(Xt,Yt?\"xa\":\"ya\",u),z(Xt,Yt,u._invScaleX,u._invScaleY));if(s&&s.tagName){var Zt=g.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,It);f(n.select(s),Zt?\"pointer\":\"\")}if(!s||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt))return;Pt&&t.emit(\"plotly_unhover\",{event:e,points:Pt});t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:V,yvals:H})}(t,e,r,a,s)}))},r.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=j(i),o=U(i),s=I(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,c=t.eventData;if(c){var u=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),m=t.trace;if(g.traceIs(m,\"gl3d\")){var v=i._fullLayout[m.scene]._scene.container,y=v.offsetLeft,x=v.offsetTop;u+=y,f+=y,h+=x,d+=x}c.bbox={x0:u+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(c.bbox)}else c=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:c}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}),l=0,c=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5([\\s\\S]*)<\\/extra>/;function I(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,c=e.rotateLabels,f=e.bgColor,d=e.container,m=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||y.HOVERFONT,k=e.fontSize||y.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),I=A[P+\"Label\"],z=V(r,m),D=z.top,R=z.width,F=z.height,B=void 0!==I&&A.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(B){var N,j,U=!0;for(N=0;Ni.width-b?(g=i.width-b,e.attr(\"d\",\"M\"+(b-M)+\",0L\"+b+\",\"+x+M+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"H\"+(b-2*M)+\"Z\")):e.attr(\"d\",\"M0,0L\"+M+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+(S+y.width/2)+\"V\"+x+M+\"H-\"+M+\"Z\")}else{var _,C,P;\"right\"===L.side?(_=\"start\",C=1,P=\"\",g=E._offset+E._length):(_=\"end\",C=-1,P=\"-\",g=E._offset),v=L._offset+(A.y0+A.y1)/2,l.attr(\"text-anchor\",_),e.attr(\"d\",\"M0,0L\"+P+M+\",\"+M+\"V\"+(S+y.height/2)+\"h\"+P+(2*S+y.width)+\"V-\"+(S+y.height/2)+\"H\"+P+M+\"V-\"+M+\"Z\");var O,z=y.height/2,R=D-y.top-z,F=\"clip\"+i._uid+\"commonlabel\"+L._id;if(g=0?at:ot+ct=0?ot:vt+ct=0?nt:it+ut=0?it:yt+ut=0,\"top\"!==t.idealAlign&&G||!Y?G?(z+=j/2,t.anchor=\"start\"):t.anchor=\"middle\":(z-=j/2,t.anchor=\"end\");else if(t.pos=z,G=P+N/2+W<=R,Y=P-N/2-W>=0,\"left\"!==t.idealAlign&&G||!Y)if(G)P+=N/2,t.anchor=\"start\";else{t.anchor=\"middle\";var X=W/2,Z=P+X-R,J=P-X;Z>0&&(P-=Z),J<0&&(P+=-J)}else P-=N/2,t.anchor=\"end\";w.attr(\"text-anchor\",t.anchor),E&&A.attr(\"text-anchor\",t.anchor),e.attr(\"transform\",s(P,z)+(c?l(_):\"\"))})),xt}function O(t,e,r,n,i,a){var s=\"\",l=\"\";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=B(t.name,t.nameLength));var c=r.charAt(0),u=\"x\"===c?\"y\":\"x\";void 0!==t.zLabel?(void 0!==t.xLabel&&(l+=\"x: \"+t.xLabel+\"
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n,i,o=r.container,s=r.fullLayout,l=s._size,c=r.event,u=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),f||u){var d=p.combine(s.plot_bgcolor,s.paper_bgcolor);if(u){var g,v,y=e.hLinePoint;n=y&&y.xa,\"cursor\"===(i=y&&y.ya).spikesnap?(g=c.pointerX,v=c.pointerY):(g=n._offset+y.x,v=i._offset+y.y);var x,b,_=a.readability(y.color,d)<1.5?p.contrast(d):y.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=m.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=A,b=g),-1!==w.indexOf(\"across\")){var 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e=t._fullLayout,r=t.calcdata,i=e._subplots.geo,s=0;s0&&P<0&&(P+=360);var I,O,z,D=(C+P)/2;if(!p){var R=d?f.projRotate:[D,0,0];I=r(\"projection.rotation.lon\",R[0]),r(\"projection.rotation.lat\",R[1]),r(\"projection.rotation.roll\",R[2]),r(\"showcoastlines\",!d&&x)&&(r(\"coastlinecolor\"),r(\"coastlinewidth\")),r(\"showocean\",!!x&&void 0)&&r(\"oceancolor\")}(p?(O=-96.6,z=38.7):(O=d?D:I,z=(L[0]+L[1])/2),r(\"center.lon\",O),r(\"center.lat\",z),m&&(r(\"projection.tilt\"),r(\"projection.distance\")),g)&&r(\"projection.parallels\",f.projParallels||[0,60]);r(\"projection.scale\"),r(\"showland\",!!x&&void 0)&&r(\"landcolor\"),r(\"showlakes\",!!x&&void 0)&&r(\"lakecolor\"),r(\"showrivers\",!!x&&void 0)&&(r(\"rivercolor\"),r(\"riverwidth\")),r(\"showcountries\",d&&\"usa\"!==u&&x)&&(r(\"countrycolor\"),r(\"countrywidth\")),(\"usa\"===u||\"north 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e=0,r=arguments.length,i=[];for(;++ed?(a=(f>0?90:-90)-p,i=0):(a=Math.asin(f/d)*s-p,i=Math.sqrt(d*d-f*f));var m=180-a-2*p,g=(Math.atan2(h,u)-Math.atan2(c,i))*s,v=(Math.atan2(h,u)-Math.atan2(c,-i))*s;return b(r[0],r[1],a,g)<=b(r[0],r[1],m,v)?[a,g,r[2]]:[m,v,r[2]]}function b(t,e,r,n){var i=_(r-t),a=_(n-e);return Math.sqrt(i*i+a*a)}function _(t){return(t%360+540)%360-180}function w(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),c=Math.sin(n);return i[a]=t[a]*l-t[s]*c,i[s]=t[s]*l+t[a]*c,i}function T(t){return[Math.atan2(2*(t[0]*t[1]+t[2]*t[3]),1-2*(t[1]*t[1]+t[2]*t[2]))*s,Math.asin(Math.max(-1,Math.min(1,2*(t[0]*t[2]-t[3]*t[1]))))*s,Math.atan2(2*(t[0]*t[3]+t[1]*t[2]),1-2*(t[2]*t[2]+t[3]*t[3]))*s]}function k(t,e){for(var r=0,n=0,i=t.length;nMath.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),c.boxEnd[1]l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),c.boxEnd[0]l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(g(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n).999&&(m=\"turntable\"):m=\"turntable\")}else m=\"turntable\";r(\"dragmode\",m),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var 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f=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d/g,\" \"));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;ar.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,h=e.glplot.selection,m=0;m\")):\"isosurface\"===t.type||\"volume\"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push(\"value: \"+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join(\"
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D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d=\"data\"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+\".camera\").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+\".aspectratio\").set(i),this.glplot.redraw()}return h},w.updateFx=function(t,e){var r=this.camera;if(r)if(\"orbit\"===t)r.mode=\"orbit\",r.keyBindingMode=\"rotate\";else if(\"turntable\"===t){r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+\".camera.up\",h={x:0,y:0,z:1},p={};p[c]=h;var d=n.layout;u.call(\"_storeDirectGUIEdit\",d,i._preGUI,p),a.up=h,f.nestedProperty(d,c).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement(\"canvas\");o.width=r,o.height=i;var s,l=o.getContext(\"2d\"),c=l.createImageData(r,i);switch(c.data.set(a),l.putImageData(c,0,0),t){case\"jpeg\":s=o.toDataURL(\"image/jpeg\");break;case\"webp\":s=o.toDataURL(\"image/webp\");break;default:s=o.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(n),s},w.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[k[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},w.make4thDimension=function(){var t=this.graphDiv._fullLayout;this._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},p.setConvert(this._mockAxis,t)},e.exports=_},{\"../../../stackgl_modules\":1120,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/show_no_webgl_msg\":525,\"../../lib/str2rgbarray\":528,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"./layout/convert\":602,\"./layout/spikes\":605,\"./layout/tick_marks\":606,\"./project\":607,\"has-passive-events\":229,\"webgl-context\":331}],609:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;aOpenStreetMap contributors',a=['\\xa9 Carto',i].join(\" \"),o=['Map tiles by Stamen Design','under CC BY 3.0',\"|\",'Data by OpenStreetMap contributors','under ODbL'].join(\" \"),s={\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:i,tiles:[\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\",\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}]},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}]},\"carto-positron\":{id:\"carto-positron\",version:8,sources:{\"plotly-carto-positron\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-positron\",type:\"raster\",source:\"plotly-carto-positron\",minzoom:0,maxzoom:22}]},\"carto-darkmatter\":{id:\"carto-darkmatter\",version:8,sources:{\"plotly-carto-darkmatter\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-darkmatter\",type:\"raster\",source:\"plotly-carto-darkmatter\",minzoom:0,maxzoom:22}]},\"stamen-terrain\":{id:\"stamen-terrain\",version:8,sources:{\"plotly-stamen-terrain\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-terrain\",type:\"raster\",source:\"plotly-stamen-terrain\",minzoom:0,maxzoom:22}]},\"stamen-toner\":{id:\"stamen-toner\",version:8,sources:{\"plotly-stamen-toner\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-toner\",type:\"raster\",source:\"plotly-stamen-toner\",minzoom:0,maxzoom:22}]},\"stamen-watercolor\":{id:\"stamen-watercolor\",version:8,sources:{\"plotly-stamen-watercolor\":{type:\"raster\",attribution:['Map tiles by Stamen Design','under CC BY 3.0',\"|\",'Data by OpenStreetMap contributors','under CC BY SA'].join(\" \"),tiles:[\"https://stamen-tiles.a.ssl.fastly.net/watercolor/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-watercolor\",type:\"raster\",source:\"plotly-stamen-watercolor\",minzoom:0,maxzoom:22}]}},l=n(s);e.exports={requiredVersion:\"1.10.1\",styleUrlPrefix:\"mapbox://styles/mapbox/\",styleUrlSuffix:\"v9\",styleValuesMapbox:[\"basic\",\"streets\",\"outdoors\",\"light\",\"dark\",\"satellite\",\"satellite-streets\"],styleValueDflt:\"basic\",stylesNonMapbox:s,styleValuesNonMapbox:l,traceLayerPrefix:\"plotly-trace-layer-\",layoutLayerPrefix:\"plotly-layout-layer-\",wrongVersionErrorMsg:[\"Your custom plotly.js bundle is not using the correct mapbox-gl version\",\"Please install mapbox-gl@1.10.1.\"].join(\"\\n\"),noAccessTokenErrorMsg:[\"Missing Mapbox access token.\",\"Mapbox trace type require a Mapbox access token to be registered.\",\"For example:\",\" Plotly.newPlot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });\",\"More info here: https://www.mapbox.com/help/define-access-token/\"].join(\"\\n\"),missingStyleErrorMsg:[\"No valid mapbox style found, please set `mapbox.style` to one of:\",l.join(\", \"),\"or register a Mapbox access token to use a Mapbox-served style.\"].join(\"\\n\"),multipleTokensErrorMsg:[\"Set multiple mapbox access token across different mapbox subplot,\",\"using first token found as mapbox-gl does not allow multipleaccess tokens on the same page.\"].join(\"\\n\"),mapOnErrorMsg:\"Mapbox error.\",mapboxLogo:{path0:\"m 10.5,1.24 c -5.11,0 -9.25,4.15 -9.25,9.25 0,5.1 4.15,9.25 9.25,9.25 5.1,0 9.25,-4.15 9.25,-9.25 0,-5.11 -4.14,-9.25 -9.25,-9.25 z m 4.39,11.53 c -1.93,1.93 -4.78,2.31 -6.7,2.31 -0.7,0 -1.41,-0.05 -2.1,-0.16 0,0 -1.02,-5.64 2.14,-8.81 0.83,-0.83 1.95,-1.28 3.13,-1.28 1.27,0 2.49,0.51 3.39,1.42 1.84,1.84 1.89,4.75 0.14,6.52 z\",path1:\"M 10.5,-0.01 C 4.7,-0.01 0,4.7 0,10.49 c 0,5.79 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n=t(\"mapbox-gl/dist/mapbox-gl-unminified\"),i=t(\"../../lib\"),a=i.strTranslate,o=i.strScale,s=t(\"../../plots/get_data\").getSubplotCalcData,l=t(\"../../constants/xmlns_namespaces\"),c=t(\"@plotly/d3\"),u=t(\"../../components/drawing\"),f=t(\"../../lib/svg_text_utils\"),h=t(\"./mapbox\"),p=r.constants=t(\"./constants\");function d(t){return\"string\"==typeof t&&(-1!==p.styleValuesMapbox.indexOf(t)||0===t.indexOf(\"mapbox://\"))}r.name=\"mapbox\",r.attr=\"subplot\",r.idRoot=\"mapbox\",r.idRegex=r.attrRegex=i.counterRegex(\"mapbox\"),r.attributes={subplot:{valType:\"subplotid\",dflt:\"mapbox\",editType:\"calc\"}},r.layoutAttributes=t(\"./layout_attributes\"),r.supplyLayoutDefaults=t(\"./layout_defaults\"),r.plot=function(t){var e=t._fullLayout,r=t.calcdata,a=e._subplots.mapbox;if(n.version!==p.requiredVersion)throw new Error(p.wrongVersionErrorMsg);var o=function(t,e){var r=t._fullLayout;if(\"\"===t._context.mapboxAccessToken)return\"\";for(var n=[],a=[],o=!1,s=!1,l=0;l1&&i.warn(p.multipleTokensErrorMsg),n[0]):(a.length&&i.log([\"Listed mapbox access token(s)\",a.join(\",\"),\"but did not use a Mapbox map style, ignoring token(s).\"].join(\" \")),\"\")}(t,a);n.accessToken=o;for(var l=0;l_/2){var w=v.split(\"|\").join(\"
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i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{\"icon-image\":i.icon+\"-15\",\"icon-size\":i.iconsize/10,\"text-field\":i.text,\"text-size\":i.textfont.size,\"text-anchor\":o.anchor,\"text-offset\":o.offset,\"symbol-placement\":i.placement}),n.extendFlat(r,{\"icon-color\":t.color,\"text-color\":i.textfont.color,\"text-opacity\":t.opacity});break;case\"raster\":n.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":t.opacity})}return{layout:e,paint:r}}l.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c(t)},l.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&\"image\"===this.sourceType&&\"image\"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||JSON.stringify(this.source)!==JSON.stringify(t.source)||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},l.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates});var e=this.findFollowingMapboxLayerId(this.lookupBelow());null!==e&&this.subplot.map.moveLayer(this.idLayer,e)},l.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,c(t)){var r=function(t){var 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e,r,s=this,c=s.isSmith,u=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,m=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,I=E.clampTiny,O=E.findXYatLength,z=E.findEnclosingVertexAngles,D=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(f,\"path\",\"maindrag\",\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){y.hover(u,t,s.id),u._fullLayout._lasthover=F,u._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){u._dragging||v.unhover(u,t)};var B,N,j,U,V,H,q,G,Y,W={element:F,gd:u,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function X(t,e){return Math.sqrt(t*t+e*e)}function Z(t,e){return X(t-A,e-M)}function J(t,e){return Math.atan2(M-e,t-A)}function K(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function Q(t,e){if(0===t)return s.pathSector(2*D);var r=R/t,n=e-r,i=e+r,a=Math.max(0,Math.min(t,m)),o=a-D,l=a+D;return\"M\"+K(o,n)+\"A\"+[o,o]+\" 0,0,0 \"+K(o,i)+\"L\"+K(l,i)+\"A\"+[l,l]+\" 0,0,1 \"+K(l,n)+\"Z\"}function $(t,e,r){if(0===t)return s.pathSector(2*D);var n,i,a=K(t,e),o=K(t,r),l=I((a[0]+o[0])/2),c=I((a[1]+o[1])/2);if(l&&c){var u=c/l,f=-1/u,h=O(D,u,l,c);n=O(R,f,h[0][0],h[0][1]),i=O(R,f,h[1][0],h[1][1])}else{var p,d;c?(p=R,d=D):(p=D,d=R),n=[[l-p,c-d],[l+p,c-d]],i=[[l-p,c+d],[l+p,c+d]]}return\"M\"+n.join(\"L\")+\"L\"+i.reverse().join(\"L\")+\"Z\"}function tt(t,e){return e=Math.max(Math.min(e,m),x),tp?(t-1&&1===t&&_(e,u,[s.xaxis],[s.yaxis],s.id,W),r.indexOf(\"event\")>-1&&y.click(u,e,s.id)}W.prepFn=function(t,n,a){var l=u._fullLayout.dragmode,f=F.getBoundingClientRect();u._fullLayout._calcInverseTransform(u);var p=u._fullLayout._invTransform;e=u._fullLayout._invScaleX,r=u._fullLayout._invScaleY;var d=o.apply3DTransform(p)(n-f.left,a-f.top);if(B=d[0],N=d[1],C){var v=E.findPolygonOffset(m,L[0],L[1],C);B+=A+v[0],N+=M+v[1]}switch(l){case\"zoom\":W.clickFn=st,c||(W.moveFn=C?it:rt,W.doneFn=at,function(){j=null,U=null,V=s.pathSubplot(),H=!1;var t=u._fullLayout[s.id];q=i(t.bgcolor).getLuminance(),(G=g.makeZoombox(h,q,T,k,V)).attr(\"fill-rule\",\"evenodd\"),Y=g.makeCorners(h,T,k),w(u)}());break;case\"select\":case\"lasso\":b(t,n,a,W,l)}},v.init(W)},N.updateRadialDrag=function(t,e,r){var i=this,c=i.gd,u=i.layers,f=i.radius,h=i.innerRadius,p=i.cx,d=i.cy,m=i.radialAxis,y=S.radialDragBoxSize,x=y/2;if(m.visible){var b,_,T,M=R(i.radialAxisAngle),E=m._rl,L=E[0],C=E[1],P=E[r],I=.75*(E[1]-E[0])/(1-i.getHole(e))/f;r?(b=p+(f+x)*Math.cos(M),_=d-(f+x)*Math.sin(M),T=\"radialdrag\"):(b=p+(h-x)*Math.cos(M),_=d-(h-x)*Math.sin(M),T=\"radialdrag-inner\");var O,z,D,B=g.makeRectDragger(u,T,\"crosshair\",-x,-x,y,y),N={element:B,gd:c};V(n.select(B),m.visible&&h0==(r?D>L:Dn?function(t){return t<=0}:function(t){return t>=0};t.c2g=function(r){var n=t.c2l(r)-e;return(s(n)?n:0)+o},t.g2c=function(r){return t.l2c(r+e-o)},t.g2p=function(t){return t*a},t.c2p=function(e){return t.g2p(t.c2g(e))}}}(t,e);break;case\"angularaxis\":!function(t,e){var r=t.type;if(\"linear\"===r){var i=t.d2c,s=t.c2d;t.d2c=function(t,e){return function(t,e){return\"degrees\"===e?a(t):t}(i(t),e)},t.c2d=function(t,e){return s(function(t,e){return\"degrees\"===e?o(t):t}(t,e))}}t.makeCalcdata=function(e,i){var a,o,s=e[i],l=e._length,c=function(r){return t.d2c(r,e.thetaunit)};if(s){if(n.isTypedArray(s)&&\"linear\"===r){if(l===s.length)return s;if(s.subarray)return s.subarray(0,l)}for(a=new Array(l),o=0;o0?1:0}function i(t){var e=t[0],r=t[1];if(!isFinite(e)||!isFinite(r))return[1,0];var n=(e+1)*(e+1)+r*r;return[(e*e+r*r-1)/n,2*r/n]}function a(t,e){var r=e[0],n=e[1];return[r*t.radius+t.cx,-n*t.radius+t.cy]}function o(t,e){return e*t.radius}e.exports={smith:i,reactanceArc:function(t,e,r,n){var s=a(t,i([r,e])),l=s[0],c=s[1],u=a(t,i([n,e])),f=u[0],h=u[1];if(0===e)return[\"M\"+l+\",\"+c,\"L\"+f+\",\"+h].join(\" \");var p=o(t,1/Math.abs(e));return[\"M\"+l+\",\"+c,\"A\"+p+\",\"+p+\" 0 0,\"+(e<0?1:0)+\" \"+f+\",\"+h].join(\" \")},resistanceArc:function(t,e,r,s){var l=o(t,1/(e+1)),c=a(t,i([e,r])),u=c[0],f=c[1],h=a(t,i([e,s])),p=h[0],d=h[1];if(n(r)!==n(s)){var m=a(t,i([e,0]));return[\"M\"+u+\",\"+f,\"A\"+l+\",\"+l+\" 0 0,\"+(00){for(var n=[],i=0;i=u&&(h.min=0,d.min=0,g.min=0,t.aaxis&&delete t.aaxis.min,t.baxis&&delete t.baxis.min,t.caxis&&delete t.caxis.min)}function m(t,e,r,n){var i=h[e._name];function o(r,n){return a.coerce(t,e,i,r,n)}o(\"uirevision\",n.uirevision),e.type=\"linear\";var p=o(\"color\"),d=p!==i.color.dflt?p:r.font.color,m=e._name.charAt(0).toUpperCase(),g=\"Component 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S=M.prototype;S.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},S.plot=function(t,e){var r=e[this.id],n=e._size;this._hasClipOnAxisFalse=!1;for(var i=0;iE*b?i=(a=b)*E:a=(i=x)/E,o=v*i/x,l=y*a/b,r=e.l+e.w*m-i/2,n=e.t+e.h*(1-g)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[m-o/2,m+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[g-l/2,g+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var S=p.baxis=h({},t.baxis,{range:[_-w-k,T],side:\"bottom\",domain:p.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:i});f(S,p.graphDiv._fullLayout),S.setScale();var L=p.caxis=h({},t.caxis,{range:[_-w-T,k],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(L,p.graphDiv._fullLayout),L.setScale();var C=\"M\"+r+\",\"+(n+a)+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDef.select(\"path\").attr(\"d\",C),p.layers.plotbg.select(\"path\").attr(\"d\",C);var P=\"M0,\"+a+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDefRelative.select(\"path\").attr(\"d\",P);var I=s(r,n);p.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",I),p.clipDefRelative.select(\"path\").attr(\"transform\",null);var O=s(r-S._offset,n+a);p.layers.baxis.attr(\"transform\",O),p.layers.bgrid.attr(\"transform\",O);var z=s(r+i/2,n)+\"rotate(30)\"+s(0,-M._offset);p.layers.aaxis.attr(\"transform\",z),p.layers.agrid.attr(\"transform\",z);var D=s(r+i/2,n)+\"rotate(-30)\"+s(0,-L._offset);p.layers.caxis.attr(\"transform\",D),p.layers.cgrid.attr(\"transform\",D),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(c.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(c.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",L.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(c.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),u.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var e=this.graphDiv,r=this.id.substr(7)+\"title\",n=this.layers,i=this.aaxis,a=this.baxis,o=this.caxis;if(this.drawAx(i),this.drawAx(a),this.drawAx(o),t){var s=Math.max(i.showticklabels?i.tickfont.size/2:0,(o.showticklabels?.75*o.tickfont.size:0)+(\"outside\"===o.ticks?.87*o.ticklen:0)),c=(a.showticklabels?a.tickfont.size:0)+(\"outside\"===a.ticks?a.ticklen:0)+3;n[\"a-title\"]=b.draw(e,\"a\"+r,{propContainer:i,propName:this.id+\".aaxis.title\",placeholder:l(e,\"Click to enter Component A title\"),attributes:{x:this.x0+this.w/2,y:this.y0-i.title.font.size/3-s,\"text-anchor\":\"middle\"}}),n[\"b-title\"]=b.draw(e,\"b\"+r,{propContainer:a,propName:this.id+\".baxis.title\",placeholder:l(e,\"Click to enter Component B title\"),attributes:{x:this.x0-c,y:this.y0+this.h+.83*a.title.font.size+c,\"text-anchor\":\"middle\"}}),n[\"c-title\"]=b.draw(e,\"c\"+r,{propContainer:o,propName:this.id+\".caxis.title\",placeholder:l(e,\"Click to enter Component C title\"),attributes:{x:this.x0+this.w+c,y:this.y0+this.h+.83*o.title.font.size+c,\"text-anchor\":\"middle\"}})}},S.drawAx=function(t){var e,r=this.graphDiv,n=t._name,i=n.charAt(0),a=t._id,s=this.layers[n],l=i+\"tickLayout\",c=(e=t).ticks+String(e.ticklen)+String(e.showticklabels);this[l]!==c&&(s.selectAll(\".\"+a+\"tick\").remove(),this[l]=c),t.setScale();var u=d.calcTicks(t),f=d.clipEnds(t,u),h=d.makeTransTickFn(t),p=d.getTickSigns(t)[2],m=o.deg2rad(30),g=p*(t.linewidth||1)/2,v=p*t.ticklen,y=this.w,x=this.h,b=\"b\"===i?\"M0,\"+g+\"l\"+Math.sin(m)*v+\",\"+Math.cos(m)*v:\"M\"+g+\",0l\"+Math.cos(m)*v+\",\"+-Math.sin(m)*v,_={a:\"M0,0l\"+x+\",-\"+y/2,b:\"M0,0l-\"+y/2+\",-\"+x,c:\"M0,0l-\"+x+\",\"+y/2}[i];d.drawTicks(r,t,{vals:\"inside\"===t.ticks?f:u,layer:s,path:b,transFn:h,crisp:!1}),d.drawGrid(r,t,{vals:f,layer:this.layers[i+\"grid\"],path:_,transFn:h,crisp:!1}),d.drawLabels(r,t,{vals:u,layer:s,transFn:h,labelFns:d.makeLabelFns(t,0,30)})};var L=A.MINZOOM/2+.87,C=\"m-0.87,.5h\"+L+\"v3h-\"+(L+5.2)+\"l\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l2.6,1.5l-\"+L/2+\",\"+.87*L+\"Z\",P=\"m0.87,.5h-\"+L+\"v3h\"+(L+5.2)+\"l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-2.6,1.5l\"+L/2+\",\"+.87*L+\"Z\",I=\"m0,1l\"+L/2+\",\"+.87*L+\"l2.6,-1.5l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-\"+(L/2+2.6)+\",\"+(.87*L+4.5)+\"l2.6,1.5l\"+L/2+\",-\"+.87*L+\"Z\",O=!0;function z(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearSelect=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,f,h,p,d,v,b,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),L=M.graphDiv,D=L._fullLayout._zoomlayer;function R(t){var e={};return e[M.id+\".aaxis.min\"]=t.a,e[M.id+\".baxis.min\"]=t.b,e[M.id+\".caxis.min\"]=t.c,e}function F(t,e){var r=L._fullLayout.clickmode;z(L),2===t&&(L.emit(\"plotly_doubleclick\",null),a.call(\"_guiRelayout\",L,R({a:0,b:0,c:0}))),r.indexOf(\"select\")>-1&&1===t&&w(e,L,[M.xaxis],[M.yaxis],M.id,M.dragOptions),r.indexOf(\"event\")>-1&&g.click(L,e,M.id)}function B(t,e){return 1-e/M.h}function N(t,e){return 1-(t+(M.h-e)/Math.sqrt(3))/M.w}function j(t,e){return(t-(M.h-e)/Math.sqrt(3))/M.w}function U(i,a){var o=r+i*t,s=n+a*e,l=Math.max(0,Math.min(1,B(0,n),B(0,s))),c=Math.max(0,Math.min(1,N(r,n),N(o,s))),u=Math.max(0,Math.min(1,j(r,n),j(o,s))),m=(l/2+u)*M.w,g=(1-l/2-c)*M.w,y=(m+g)/2,x=g-m,_=(1-l)*M.h,w=_-x/E;x.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),k.transition().style(\"opacity\",1).duration(200),b=!0),L.emit(\"plotly_relayouting\",R(p))}function V(){z(L),p!==f&&(a.call(\"_guiRelayout\",L,R(p)),O&&L.data&&L._context.showTips&&(o.notifier(l(L,\"Double-click to zoom back out\"),\"long\"),O=!1))}function H(t,e){var 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n=t(\"../pie/layout_attributes\").hiddenlabels;e.exports={hiddenlabels:n,funnelareacolorway:{valType:\"colorlist\",editType:\"calc\"},extendfunnelareacolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{\"../pie/layout_attributes\":907}],789:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"funnelareacolorway\",e.colorway),r(\"extendfunnelareacolors\")}},{\"../../lib\":503,\"./layout_attributes\":788}],790:[function(t,e,r){\"use strict\";var 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A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:\"inside\"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr(\"width\",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\"x\",(function(t){return i.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*A})).attr(\"height\",(function(t){return t.thickness*A}))}var C=[m].concat(u.gauge.steps),P=f.selectAll(\"g.bg-bullet\").data(C);P.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),P.select(\"rect\").call(L).call(T),P.exit().remove();var 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u.gauge.threshold.value||0===u.gauge.threshold.value})),z=f.selectAll(\"g.threshold-bullet\").data(O);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",i.c2p(u.gauge.threshold.value)).attr(\"x2\",i.c2p(u.gauge.threshold.value)).attr(\"y1\",(1-u.gauge.threshold.thickness)/2*A).attr(\"y2\",(1-(1-u.gauge.threshold.thickness)/2)*A).call(y.stroke,u.gauge.threshold.line.color).style(\"stroke-width\",u.gauge.threshold.line.width),z.exit().remove();var D=f.selectAll(\"g.gauge-outline\").data([g]);D.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),D.select(\"rect\").call(L).call(T),D.exit().remove()}(t,0,e,{gauge:X,layer:Z,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var J=O.selectAll(\"text.title\").data(e);J.exit().remove(),J.enter().append(\"text\").classed(\"title\",!0),J.attr(\"text-anchor\",(function(){return R?x.right:x[I.title.align]})).text(I.title.text).call(f.font,I.title.font).call(p.convertToTspans,t),J.attr(\"transform\",(function(){var t,e=B.l+B.w*b[I.title.align],r=h.titlePadding,n=f.bBox(J.node());if(z){if(D)if(I.gauge.axis.visible)t=f.bBox(W.node()).top-r-n.bottom;else t=B.t+B.h/2-U/2-n.bottom-r;R&&(t=E-(n.top+n.bottom)/2,e=B.l-h.bulletPadding*B.w)}else t=I._numbersTop-r-n.bottom;return l(e,t)}))}))}},{\"../../components/color\":366,\"../../components/drawing\":388,\"../../constants/alignment\":471,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plots/cartesian/axes\":554,\"../../plots/cartesian/axis_defaults\":556,\"../../plots/cartesian/layout_attributes\":569,\"../../plots/cartesian/position_defaults\":572,\"./constants\":858,\"@plotly/d3\":58,\"d3-interpolate\":116}],862:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../mesh3d/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;var 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i._trace=a,a.update(e),t.glplot.add(i),a}}},{\"../../../stackgl_modules\":1120,\"../../components/colorscale\":378,\"../../lib/gl_format_color\":499,\"../../lib/str2rgbarray\":528,\"../../plots/gl3d/zip3\":609}],865:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./attributes\"),o=t(\"../../components/colorscale/defaults\");function s(t,e,r,n,a){var s=a(\"isomin\"),l=a(\"isomax\");null!=l&&null!=s&&s>l&&(e.isomin=null,e.isomax=null);var c=a(\"x\"),u=a(\"y\"),f=a(\"z\"),h=a(\"value\");c&&c.length&&u&&u.length&&f&&f.length&&h&&h.length?(i.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],n),a(\"valuehoverformat\"),[\"x\",\"y\",\"z\"].forEach((function(t){a(t+\"hoverformat\");var e=\"caps.\"+t;a(e+\".show\")&&a(e+\".fill\");var 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../surface/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat;e.exports=l({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374}],869:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_mesh3d,i=t(\"../../../stackgl_modules\").delaunay_triangulate,a=t(\"../../../stackgl_modules\").alpha_shape,o=t(\"../../../stackgl_modules\").convex_hull,s=t(\"../../lib/gl_format_color\").parseColorScale,l=t(\"../../lib/str2rgbarray\"),c=t(\"../../components/colorscale\").extractOpts,u=t(\"../../plots/gl3d/zip3\");function f(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var h=f.prototype;function p(t){for(var e=[],r=t.length,n=0;n=e-.5)return!1;return!0}h.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var 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t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(E),S.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;A.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return 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t.model.rawColor>e.model.rawColor?1:t.model.rawColor\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+m.left,y:_-d.top+m.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L1&&h.displayInd===f.dimensions.length-1?(i=c.left,a=\"left\"):(i=c.left+c.width,a=\"right\");var m=u.model.count,g=u.model.categoryLabel,v=m/u.parcatsViewModel.model.count,y={countLabel:m,categoryLabel:g,probabilityLabel:v.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",y.countLabel].join(\" \")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+y.categoryLabel+\"):\",y.probabilityLabel].join(\" \"));var b=x.join(\"
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e=t.parcatsViewModel;if(!e.dragDimension&&(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(m),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event)}}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.yf.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragXp.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=z(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),D(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function z(t){for(var e,r=t.graphDiv._fullData,n=0;n=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),ni?1:0}));for(var h=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),m=0;m0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b1?(t.width-80-16)/(n-1):0)*i;var a,o,s,l,c,u=[],f=t.model.maxCats,h=e.categories.length,p=e.count,d=t.height-8*(f-1),m=8*(f-h)/2,g=e.categories.map((function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}}));for(g.sort((function(t,e){return t.displayInd-e.displayInd})),c=0;c0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:a,y:null!==o.dragY?o.dragY:m,bands:[],parcatsViewModel:t},m=m+a+8,u.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:u,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}e.exports=function(t,e,r,n){h(r,t,n,e)}},{\"../../components/drawing\":388,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plot_api/plot_api\":540,\"@plotly/d3\":58,\"d3-interpolate\":116,tinycolor2:312}],887:[function(t,e,r){\"use strict\";var n=t(\"./parcats\");e.exports=function(t,e,r,i){var a=t._fullLayout,o=a._paper,s=a._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,i)}},{\"./parcats\":886}],888:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/layout_attributes\"),a=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:a({editType:\"plot\"}),tickfont:a({editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/plot_template\":543,\"../../plots/cartesian/layout_attributes\":569,\"../../plots/domain\":584,\"../../plots/font_attributes\":585}],889:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"@plotly/d3\"),a=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=t(\"../../lib\").strTranslate,c=n.bar.snapRatio;function u(t,e){return t*(1-c)+e*c}var f=n.bar.snapClose;function h(t,e){return t*(1-f)+e*f}function p(t,e,r,n){if(function(t,e){for(var r=0;r=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var i=t?-1:1,a=0,o=e.length-1;if(i<0){var s=a;a=o,o=s}for(var l=e[a],c=l,f=a;i*fe){h=r;break}}if(a=u,isNaN(a)&&(a=isNaN(f)||isNaN(h)?isNaN(f)?h:f:e-c[f][1]t[1]+r||e=.9*t[1]+.1*t[0]?\"n\":e<=.9*t[0]+.1*t[1]?\"s\":\"ns\"}(d,e);m&&(o.interval=l[a],o.intervalPix=d,o.region=m)}}if(t.ordinal&&!o.region){var g=t.unitTickvals,y=t.unitToPaddedPx.invert(e);for(r=0;r=x[0]&&y<=x[1]){o.clickableOrdinalRange=x;break}}}return o}function w(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.brush.svgBrush;a.wasDragged=!0,a._dragging=!0,a.grabbingBar?a.newExtent=[r-a.grabPoint,r+a.barLength-a.grabPoint].map(e.unitToPaddedPx.invert):a.newExtent=[a.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,a.extent=a.stayingIntervals.concat([a.newExtent]),a.brushCallback(e),b(t.parentNode)}function T(t,e){var r=_(e,e.height-i.mouse(t)[1]-2*n.verticalPadding),a=\"crosshair\";r.clickableOrdinalRange?a=\"pointer\":r.region&&(a=r.region+\"-resize\"),i.select(document.body).style(\"cursor\",a)}function k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||y()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,y(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),c?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e){var r=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);r.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e){var r=t.selectAll(\".background\").data(o);r.enter().append(\"rect\").classed(\"background\",!0).call(d).call(m).style(\"pointer-events\",\"auto\").attr(\"transform\",l(0,n.verticalPadding)),r.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var i=t.selectAll(\".highlight-shadow\").data(o);i.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),i.attr(\"y1\",(function(t){return t.height})).call(x);var a=t.selectAll(\".highlight\").data(o);a.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",(function(t){return t.height})).call(x)}(r,e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":503,\"../../lib/gup\":500,\"./constants\":892,\"@plotly/d3\":58}],890:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/get_data\").getModuleCalcData,a=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.style.width,height:this.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":480,\"../../plots/get_data\":593,\"./plot\":899,\"@plotly/d3\":58}],891:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,i=t(\"../../components/colorscale\"),a=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;rf&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the moment\"),d.splice(f));var m=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s(\"line.color\",r);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(m)&&m.length||(e.visible=!1),h(e,m,\"values\",g);var v={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,\"labelfont\",v),n.coerceFont(u,\"tickfont\",v),n.coerceFont(u,\"rangefont\",v),u(\"labelangle\"),u(\"labelside\")}},{\"../../components/colorscale/defaults\":376,\"../../components/colorscale/helpers\":377,\"../../lib\":503,\"../../plots/array_container_defaults\":549,\"../../plots/cartesian/axes\":554,\"../../plots/domain\":584,\"./attributes\":888,\"./axisbrush\":889,\"./constants\":892,\"./merge_length\":897}],894:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return 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hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n return (\\n fOutside(p[0], lo[0], hi[0]) ||\\n fOutside(p[1], lo[1], hi[1]) ||\\n fOutside(p[2], lo[2], hi[2]) ||\\n fOutside(p[3], lo[3], hi[3])\\n );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n return (\\n vOutside(p[0], lo[0], hi[0]) ||\\n vOutside(p[1], lo[1], hi[1]) ||\\n vOutside(p[2], lo[2], hi[2]) ||\\n vOutside(p[3], lo[3], hi[3])\\n );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n return mOutside(A, loA, hiA) ||\\n mOutside(B, loB, hiB) ||\\n mOutside(C, loC, hiC) ||\\n mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n mat4 pnts[4];\\n pnts[0] = A;\\n pnts[1] = B;\\n pnts[2] = C;\\n pnts[3] = D;\\n\\n for(int i = 0; i < 4; ++i) {\\n for(int j = 0; j < 4; ++j) {\\n for(int k = 0; k < 4; ++k) {\\n if(0 == iMod(\\n int(255.0 * texture2D(maskTexture,\\n vec2(\\n (float(i * 2 + j / 2) + 0.5) / 8.0,\\n (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n ))[3]\\n ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n 2\\n )) return true;\\n }\\n }\\n }\\n return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n float x = 0.5 * sign(v) + 0.5;\\n float y = axisY(x, A, B, C, D);\\n float z = 1.0 - abs(v);\\n\\n z += isContext ? 0.0 : 2.0 * float(\\n outsideBoundingBox(A, B, C, D) ||\\n outsideRasterMask(A, B, C, D)\\n );\\n\\n return vec4(\\n 2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n z,\\n 1.0\\n );\\n}\\n\\nvoid main() {\\n mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n float v = colors[3];\\n\\n gl_Position = position(isContext, v, A, B, C, D);\\n\\n fragColor =\\n isContext ? vec4(contextColor) :\\n isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c>>8*e)%256/255}function m(t,e,r){for(var n=new Array(8*e),i=0,a=0;au&&(u=t[i].dim1.canvasX,o=i);0===s&&f(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&no._length&&(S=S.slice(0,o._length));var L,C=o.tickvals;function P(t,e){return{val:t,text:L[e]}}function I(t,e){return 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Z=Y.selectAll(\".\"+y.cn.axisExtentBottom).data(m,d);Z.enter().append(\"g\").classed(y.cn.axisExtentBottom,!0),Z.attr(\"transform\",(function(t){return c(0,t.model.height+y.axisExtentOffset)}));var J=Z.selectAll(\".\"+y.cn.axisExtentBottomText).data(m,d);J.enter().append(\"text\").classed(y.cn.axisExtentBottomText,!0).attr(\"dy\",\"0.75em\").call(P),J.text((function(t){return D(t,!1)})).each((function(t){f.font(n.select(this),t.model.rangeFont)})),x.ensureAxisBrush(V,T)}},{\"../../components/colorscale\":378,\"../../components/drawing\":388,\"../../lib\":503,\"../../lib/gup\":500,\"../../lib/svg_text_utils\":529,\"../../plots/cartesian/axes\":554,\"./axisbrush\":889,\"./constants\":892,\"./helpers\":894,\"./lines\":896,\"@plotly/d3\":58,\"color-rgba\":91}],899:[function(t,e,r){\"use strict\";var n=t(\"./parcoords\"),i=t(\"../../lib/prepare_regl\"),a=t(\"./helpers\").isVisible;function o(t,e,r){var n=e.indexOf(r),i=t.indexOf(n);return-1===i&&(i+=e.length),i}e.exports=function(t,e){var r=t._fullLayout;if(i(t)){var s={},l={},c={},u={},f=r._size;e.forEach((function(e,r){var n=e[0].trace;c[r]=n.index;var i=u[r]=n._fullInput.index;s[r]=t.data[i].dimensions,l[r]=t.data[i].dimensions.slice()}));n(t,e,{width:f.w,height:f.h,margin:{t:f.t,r:f.r,b:f.b,l:f.l}},{filterChanged:function(e,n,i){var a=l[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",f=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===f[s]){var h=a.constraintrange;f[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[u[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return o(t,e,r)-o(t,e,n)}}(r,l[e].filter(a));s[e].sort(n),l[e].filter((function(t){return!a(t)})).sort((function(t){return l[e].indexOf(t)})).forEach((function(t){s[e].splice(s[e].indexOf(t),1),s[e].splice(l[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[s[e]]},[u[e]]])}})}}},{\"../../lib/prepare_regl\":516,\"./helpers\":894,\"./parcoords\":898}],900:[function(t,e,r){\"use strict\";var n=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,a=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top 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right\"],editType:\"calc\"}}}},{\"../../components/color/attributes\":365,\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/domain\":584,\"../../plots/font_attributes\":585,\"../../plots/template_attributes\":633}],901:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"pie\",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{\"../../plots/plots\":619}],902:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"tinycolor2\"),a=t(\"../../components/color\"),o={};function s(t){return function(e,r){return!!e&&(!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r=0})),(\"funnelarea\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c(\"labels\"),c(\"values\")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),f){e._length=f,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var h,p=c(\"text\"),d=c(\"texttemplate\");if(d||(h=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||h&&\"none\"!==h){var m=c(\"textposition\");s(t,e,n,c,m,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(m)||\"auto\"===m||\"outside\"===m)&&c(\"automargin\"),(\"inside\"===m||\"auto\"===m||Array.isArray(m))&&c(\"insidetextorientation\")}o(e,n,c);var g=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",g?\"middle center\":\"top center\");g||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":503,\"../../plots/domain\":584,\"../bar/defaults\":652,\"./attributes\":900,\"fast-isnumeric\":190}],904:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":402}],905:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[v(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[v(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;ie&&e>n||r=-4;g-=2)v(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)v(Math.PI*(g+1),\"tan\")}if(f||p){for(g=4;g>=-4;g-=2)v(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)v(Math.PI*(g+.5),\"rad\")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;m.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a));for(var x=0,b=0,_=0;_=1)break}return m[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?f*=2:-1!==a.title.position.indexOf(\"right\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;er&&(r=t.pull[e]);return r}function O(t,e){for(var r=[],n=0;n1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(y(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d(\"pie\",r),_(e,t),O(e,a);var h=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var h=n.select(this),d=e[0],m=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;ei.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr(\"stroke-linejoin\",\"round\"),h.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=m.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll(\"path.surface\").data([i]);if(h.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),u.call(x,t,e),m.pull){var v=+g.castOption(m.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=m.hole;if(i.v===d.vTotal){var k=\"M\"+(o+i.px0[0])+\",\"+(c+i.px0[1])+C(i.px0,i.pxmid,!0,1)+C(i.pxmid,i.px0,!0,1)+\"Z\";T?h.attr(\"d\",\"M\"+(o+T*i.px0[0])+\",\"+(c+T*i.px0[1])+C(i.px0,i.pxmid,!1,T)+C(i.pxmid,i.px0,!1,T)+\"Z\"+k):h.attr(\"d\",k)}else{var A=C(i.px0,i.px1,!0,1);if(T){var M=1-T;h.attr(\"d\",\"M\"+(o+T*i.px1[0])+\",\"+(c+T*i.px1[1])+C(i.px1,i.px0,!1,T)+\"l\"+M*i.px0[0]+\",\"+M*i.px0[1]+A+\"Z\")}else h.attr(\"d\",\"M\"+o+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+A+\"Z\")}D(t,i,d);var S=g.castOption(m.textposition,i.pts),E=u.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==S?[0]:[]);E.enter().append(\"g\").classed(\"slicetext\",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===S?function(t,e,r){var n=g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,i=g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(m,i,r.font):b(m,i,r.font));u.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if(\"outside\"===S)v=L(y,i);else if(v=w(y,i,d),\"auto\"===S&&v.scale<1){var x=l.ensureUniformFontSize(t,m.outsidetextfont);u.call(s.font,x),v=L(y=s.bBox(u.node()),i)}var T=v.textPosAngle,k=void 0===T?i.pxmid:z(d.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=c+k[1]*v.rCenter+(v.y||0),R(v,y),v.outside){var A=v.targetY;i.yLabelMin=A-y.height/2,i.yLabelMid=A,i.yLabelMax=A+y.height/2,i.labelExtraX=0,i.labelExtraY=0,_=!0}v.fontSize=h.size,p(m.type,v,r),e[a].transform=v,u.attr(\"transform\",l.getTextTransform(v))}))}function C(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*d.r+\",\"+n*d.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var T=n.select(this).selectAll(\"g.titletext\").data(m.title.text?[0]:[]);if(T.enter().append(\"g\").classed(\"titletext\",!0),T.exit().remove(),T.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=m.title.text;m._meta&&(i=l.templateString(i,m._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,m.title.font).call(f.convertToTspans,t),e=\"middle center\"===m.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(d):C(d,a),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),_&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function m(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var i,c,u,h,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),d=n?t.yLabelMin:t.yLabelMax,m=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-d;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c=(g.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-d-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(m+t.labelExtraY-v)*l>0&&(i=3*s*Math.abs(c-f.indexOf(t)),(h=u.cxFinal+a(u.px0[0],u.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=h)))}for(n=0;n<2;n++)for(i=n?m:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),u=t[1-n][r],f=u.concat(c),p=[],h=0;hMath.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(f-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(v,m),_&&m.automargin){var k=s.bBox(h.node()),A=m.domain,M=a.w*(A.x[1]-A.x[0]),S=a.h*(A.y[1]-A.y[0]),E=(.5*M-d.r)/a.w,P=(.5*S-d.r)/a.h;i.autoMargin(t,\"pie.\"+m.uid+\".automargin\",{xl:A.x[0]-E,xr:A.x[1]+E,yb:A.y[0]-P,yt:A.y[1]+P,l:Math.max(d.cx-d.r-k.left,0),r:Math.max(k.right-(d.cx+d.r),0),b:Math.max(k.bottom-(d.cy+d.r),0),t:Math.max(d.cy-d.r-k.top,0),pad:5})}}))}));setTimeout((function(){h.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:O,attachFxHandlers:x,computeTransform:R}},{\"../../components/color\":366,\"../../components/drawing\":388,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plots/plots\":619,\"../bar/constants\":650,\"../bar/uniform_text\":664,\"./event_data\":904,\"./helpers\":905,\"@plotly/d3\":58}],910:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"./style_one\"),a=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each((function(t){n.select(this).call(i,t,e)}))}))}},{\"../bar/uniform_text\":664,\"./style_one\":911,\"@plotly/d3\":58}],911:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"./helpers\").castOption;e.exports=function(t,e,r){var a=r.marker.line,o=i(a.color,e.pts)||n.defaultLine,s=i(a.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":366,\"./helpers\":905}],912:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":926}],913:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_pointcloud2d,i=t(\"../../lib/str2rgbarray\"),a=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;ld[2]&&(d[2]=o),sd[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;ld[2]&&(d[2]=o),sd[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var m=i(t.marker.color),g=i(t.marker.border.color),v=t.opacity*t.marker.opacity;m[3]*=v,this.pointcloudOptions.color=m;var y=t.marker.blend;if(null===y){y=c.length<100||u.length<100}this.pointcloudOptions.blend=y,g[3]*=v,this.pointcloudOptions.borderColor=g;var x=t.marker.sizemin,b=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=b,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var _=this.scene.xaxis,w=this.scene.yaxis,T=b/2||.5;t._extremes[_._id]=a(_,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=a(w,[d[1],d[3]],{ppad:T})},l.dispose=function(){this.pointcloud.dispose()},e.exports=function(t,e){var r=new s(t,e.uid);return r.update(e),r}},{\"../../../stackgl_modules\":1120,\"../../lib/str2rgbarray\":528,\"../../plots/cartesian/autorange\":553,\"../scatter/get_trace_color\":936}],914:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\");e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a(\"text\"),a(\"marker.color\",r),a(\"marker.opacity\"),a(\"marker.blend\"),a(\"marker.sizemin\"),a(\"marker.sizemax\"),a(\"marker.border.color\",r),a(\"marker.border.arearatio\"),e._length=null}},{\"../../lib\":503,\"./attributes\":912}],915:[function(t,e,r){\"use strict\";[\"*pointcloud* trace is deprecated!\",\"Please consider switching to the *scattergl* trace type.\"].join(\" 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h={_id:\"x\",c2p:u.identity,_offset:r._sankey.translateX,_length:r._sankey.width},p={_id:\"y\",c2p:u.identity,_offset:r._sankey.translateY,_length:r._sankey.height},d={gd:t,element:o.node(),plotinfo:{id:e,xaxis:h,yaxis:p,fillRangeItems:u.noop},subplot:e,xaxes:[h],yaxes:[p],doneFnCompleted:function(r){var n,i=t._fullData[e],a=i.node.groups.slice(),o=[];function s(t){for(var e=i._sankey.graph.nodes,r=0;ry&&(y=a.source[e]),a.target[e]>y&&(y=a.target[e]);var x,b=y+1;t.node._count=b;var _=t.node.groups,w={};for(e=0;e<_.length;e++){var T=_[e];for(x=0;x0&&s(E,b)&&s(L,b)&&(!w.hasOwnProperty(E)||!w.hasOwnProperty(L)||w[E]!==w[L])){w.hasOwnProperty(L)&&(L=w[L]),w.hasOwnProperty(E)&&(E=w[E]),L=+L,h[E=+E]=h[L]=!0;var C=\"\";a.label&&a.label[e]&&(C=a.label[e]);var P=null;C&&p.hasOwnProperty(C)&&(P=p[C]),c.push({pointNumber:e,label:C,color:u?a.color[e]:a.color,customdata:f?a.customdata[e]:a.customdata,concentrationscale:P,source:E,target:L,value:+S}),M.source.push(E),M.target.push(L)}}var I=b+_.length,O=o(r.color),z=o(r.customdata),D=[];for(e=0;eb-1,childrenNodes:[],pointNumber:e,label:R,color:O?r.color[e]:r.color,customdata:z?r.customdata[e]:r.customdata})}var F=!1;return function(t,e,r){for(var a=i.init2dArray(t,0),o=0;o1}))}(I,M.source,M.target)&&(F=!0),{circular:F,links:c,nodes:D,groups:_,groupLookup:w}}e.exports=function(t,e){var r=c(e);return a({circular:r.circular,_nodes:r.nodes,_links:r.links,_groups:r.groups,_groupLookup:r.groupLookup})}},{\"../../components/colorscale\":378,\"../../lib\":503,\"../../lib/gup\":500,\"strongly-connected-components\":306}],919:[function(t,e,r){\"use 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n.coerce(m,g,i.node,t,e)}v(\"label\"),v(\"groups\"),v(\"x\"),v(\"y\"),v(\"pad\"),v(\"thickness\"),v(\"line.color\"),v(\"line.width\"),v(\"hoverinfo\",t.hoverinfo),l(m,g,v,d),v(\"hovertemplate\");var y=h.colorway;v(\"color\",g.label.map((function(t,e){return a.addOpacity(function(t){return y[t%y.length]}(e),.8)}))),v(\"customdata\");var x=t.link||{},b=c.newContainer(e,\"link\");function _(t,e){return n.coerce(x,b,i.link,t,e)}_(\"label\"),_(\"source\"),_(\"target\"),_(\"value\"),_(\"line.color\"),_(\"line.width\"),_(\"hoverinfo\",t.hoverinfo),l(x,b,_,d),_(\"hovertemplate\");var w,T=o(h.paper_bgcolor).getLuminance()<.333?\"rgba(255, 255, 255, 0.6)\":\"rgba(0, 0, 0, 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.numberFormat,o=t(\"./render\"),s=t(\"../../components/fx\"),l=t(\"../../components/color\"),c=t(\"./constants\").cn,u=i._;function f(t){return\"\"!==t}function h(t,e){return t.filter((function(t){return t.key===e.traceId}))}function p(t,e){n.select(t).select(\"path\").style(\"fill-opacity\",e),n.select(t).select(\"rect\").style(\"fill-opacity\",e)}function d(t){n.select(t).select(\"text.name\").style(\"fill\",\"black\")}function m(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function g(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function v(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(m(e)).call(x.bind(0,e,r,!1))}function y(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(m(e)).call(b.bind(0,e,r,!1))}function x(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),r&&h(e,t).selectAll(\".\"+c.sankeyNode).filter(g(t)).call(v)}function b(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(c.sankeyNode).filter(g(t)).call(y)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}e.exports=function(t,e){for(var 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a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(y,r,i),s.click(t,{target:!0})}}})}},{\"../../components/color\":366,\"../../components/fx\":406,\"../../lib\":503,\"./constants\":919,\"./render\":923,\"@plotly/d3\":58}],923:[function(t,e,r){\"use strict\";var n=t(\"d3-force\"),i=t(\"d3-interpolate\").interpolateNumber,a=t(\"@plotly/d3\"),o=t(\"@plotly/d3-sankey\"),s=t(\"@plotly/d3-sankey-circular\"),l=t(\"./constants\"),c=t(\"tinycolor2\"),u=t(\"../../components/color\"),f=t(\"../../components/drawing\"),h=t(\"../../lib\"),p=h.strTranslate,d=h.strRotate,m=t(\"../../lib/gup\"),g=m.keyFun,v=m.repeat,y=m.unwrap,x=t(\"../../lib/svg_text_utils\"),b=t(\"../../registry\"),_=t(\"../../constants/alignment\"),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=y(e),a=i.trace,u=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,m=t.width*(u.x[1]-u.x[0]),g=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[m,g]:[g,m]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var A in n.nodePadding()=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" 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a=e.layers.frontplot.select(\"g.scatterlayer\"),o={xaxis:e.xaxis,yaxis:e.yaxis,plot:e.framework,layerClipId:e._hasClipOnAxisFalse?e.clipIds.forTraces:null},s=e.radialAxis,l=e.angularAxis,c=0;c=c&&(y.marker.cluster=d.tree),y.marker&&(y.markerSel.positions=y.markerUnsel.positions=y.marker.positions=_),y.line&&_.length>1&&l.extendFlat(y.line,s.linePositions(t,p,_)),y.text&&(l.extendFlat(y.text,{positions:_},s.textPosition(t,p,y.text,y.marker)),l.extendFlat(y.textSel,{positions:_},s.textPosition(t,p,y.text,y.markerSel)),l.extendFlat(y.textUnsel,{positions:_},s.textPosition(t,p,y.text,y.markerUnsel))),y.fill&&!h.fill2d&&(h.fill2d=!0),y.marker&&!h.scatter2d&&(h.scatter2d=!0),y.line&&!h.line2d&&(h.line2d=!0),y.text&&!h.glText&&(h.glText=!0),h.lineOptions.push(y.line),h.fillOptions.push(y.fill),h.markerOptions.push(y.marker),h.markerSelectedOptions.push(y.markerSel),h.markerUnselectedOptions.push(y.markerUnsel),h.textOptions.push(y.text),h.textSelectedOptions.push(y.textSel),h.textUnselectedOptions.push(y.textUnsel),h.selectBatch.push([]),h.unselectBatch.push([]),d.x=w,d.y=T,d.rawx=w,d.rawy=T,d.r=g,d.theta=v,d.positions=_,d._scene=h,d.index=h.count,h.count++}})),a(t,e,r)}}},{\"../../lib\":503,\"../scattergl/constants\":980,\"../scattergl/convert\":981,\"../scattergl/plot\":988,\"../scattergl/scene_update\":989,\"@plotly/point-cluster\":59,\"fast-isnumeric\":190}],1014:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../../lib/extend\").extendFlat,o=t(\"../scatter/attributes\"),s=t(\"../../plots/attributes\"),l=o.line;e.exports={mode:o.mode,real:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},imag:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},text:o.text,texttemplate:i({editType:\"plot\"},{keys:[\"real\",\"imag\",\"text\"]}),hovertext:o.hovertext,line:{color:l.color,width:l.width,dash:l.dash,shape:a({},l.shape,{values:[\"linear\",\"spline\"]}),smoothing:l.smoothing,editType:\"calc\"},connectgaps:o.connectgaps,marker:o.marker,cliponaxis:a({},o.cliponaxis,{dflt:!1}),textposition:o.textposition,textfont:o.textfont,fill:a({},o.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:o.fillcolor,hoverinfo:a({},s.hoverinfo,{flags:[\"real\",\"imag\",\"text\",\"name\"]}),hoveron:o.hoveron,hovertemplate:n(),selected:o.selected,unselected:o.unselected}},{\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/template_attributes\":633,\"../scatter/attributes\":926}],1015:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../scatter/colorscale_calc\"),o=t(\"../scatter/arrays_to_calcdata\"),s=t(\"../scatter/calc_selection\"),l=t(\"../scatter/calc\").calcMarkerSize;e.exports=function(t,e){for(var r=t._fullLayout,c=e.subplot,u=r[c].realaxis,f=r[c].imaginaryaxis,h=u.makeCalcdata(e,\"real\"),p=f.makeCalcdata(e,\"imag\"),d=e._length,m=new Array(d),g=0;g\")}}e.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,c=s.cd[s.index],u=s.trace;if(l.isPtInside(c))return s.xLabelVal=void 0,s.yLabelVal=void 0,i(c,u,l,s),s.hovertemplate=u.hovertemplate,o}},makeHoverPointText:i}},{\"../scatter/hover\":937}],1019:[function(t,e,r){\"use strict\";e.exports={moduleType:\"trace\",name:\"scattersmith\",basePlotModule:t(\"../../plots/smith\"),categories:[\"smith\",\"symbols\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),style:t(\"../scatter/style\").style,styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\").hoverPoints,selectPoints:t(\"../scatter/select\"),meta:{}}},{\"../../plots/smith\":629,\"../scatter/marker_colorbar\":944,\"../scatter/select\":948,\"../scatter/style\":950,\"./attributes\":1014,\"./calc\":1015,\"./defaults\":1016,\"./format_labels\":1017,\"./hover\":1018,\"./plot\":1020}],1020:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../../plots/smith/helpers\").smith;e.exports=function(t,e,r){for(var o=e.layers.frontplot.select(\"g.scatterlayer\"),s={xaxis:e.xaxis,yaxis:e.yaxis,plot:e.framework,layerClipId:e._hasClipOnAxisFalse?e.clipIds.forTraces:null},l=0;l\"),o.hovertemplate=h.hovertemplate,a}function x(t,e){v.push(t._hovertitle+\": \"+e)}}},{\"../scatter/hover\":937}],1027:[function(t,e,r){\"use 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a={xaxis:e.xaxis,yaxis:e.yaxis,plot:i,layerClipId:e._hasClipOnAxisFalse?e.clipIdRelative:null},o=e.layers.frontplot.select(\"g.scatterlayer\");n(t,a,r,o)}},{\"../scatter/plot\":947}],1029:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../scattergl/attributes\"),l=t(\"../../plots/cartesian/constants\").idRegex,c=t(\"../../plot_api/plot_template\").templatedArray,u=t(\"../../lib/extend\").extendFlat,f=n.marker,h=f.line,p=u(i(\"marker.line\",{editTypeOverride:\"calc\"}),{width:u({},h.width,{editType:\"calc\"}),editType:\"calc\"}),d=u(i(\"marker\"),{symbol:f.symbol,size:u({},f.size,{editType:\"markerSize\"}),sizeref:f.sizeref,sizemin:f.sizemin,sizemode:f.sizemode,opacity:f.opacity,colorbar:f.colorbar,line:p,editType:\"calc\"});function 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h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var 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m(t,e){if(t0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a_;)r--,r/=v(r),++r1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];ea&&(this.minValues[e]=a),this.maxValues[e]\",maxDimensionCount:60,overdrag:45,releaseTransitionDuration:120,releaseTransitionEase:\"cubic-out\",scrollbarCaptureWidth:18,scrollbarHideDelay:1e3,scrollbarHideDuration:1e3,scrollbarOffset:5,scrollbarWidth:8,transitionDuration:100,transitionEase:\"cubic-out\",uplift:5,wrapSpacer:\" \",wrapSplitCharacter:\" 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e=0,r=0;r=e||c===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=c,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=c+1,a=0);return n}e.exports=function(t,e){var r=l(e.cells.values),p=function(t){return t.slice(e.header.values.length,t.length)},d=l(e.header.values);d.length&&!d[0].length&&(d[0]=[\"\"],d=l(d));var m=d.concat(p(r).map((function(){return c((d[0]||[\"\"]).length)}))),g=e.domain,v=Math.floor(t._fullLayout._size.w*(g.x[1]-g.x[0])),y=Math.floor(t._fullLayout._size.h*(g.y[1]-g.y[0])),x=e.header.values.length?m[0].map((function(){return e.header.height})):[n.emptyHeaderHeight],b=r.length?r[0].map((function(){return e.cells.height})):[],_=x.reduce(s,0),w=h(b,y-_+n.uplift),T=f(h(x,_),[]),k=f(w,T),A={},M=e._fullInput.columnorder.concat(p(r.map((function(t,e){return e})))),S=m.map((function(t,r){var n=Array.isArray(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:e.columnwidth;return a(n)?Number(n):1})),E=S.reduce(s,0);S=S.map((function(t){return t/E*v}));var L=Math.max(o(e.header.line.width),o(e.cells.line.width)),C={key:e.uid+t._context.staticPlot,translateX:g.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-g.y[1]),size:t._fullLayout._size,width:v,maxLineWidth:L,height:y,columnOrder:M,groupHeight:y,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:m}),gdColumns:m.map((function(t){return t[0]})),gdColumnsOriginalOrder:m.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:m.map((function(t,e){var r=A[t];return A[t]=(r||0)+1,{key:t+\"__\"+A[t],label:t,specIndex:e,xIndex:M[e],xScale:u,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return C.columns.forEach((function(t){t.calcdata=C,t.x=u(t)})),C}},{\"../../lib/extend\":493,\"./constants\":1065,\"fast-isnumeric\":190}],1067:[function(t,e,r){\"use strict\";var n=t(\"../../lib/extend\").extendFlat;r.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:\"header\",type:\"header\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:\"cells1\",type:\"cells\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:\"cells2\",type:\"cells\",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},r.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0,n=e?r+e.rows.length:0;return[r,n]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+(\"string\"==typeof r&&r.match(/[<$&> 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f,h,p=u?\"\":T(t.calcdata.cells.prefix,e,r)||\"\",d=u?\"\":T(t.calcdata.cells.suffix,e,r)||\"\",m=u?null:T(t.calcdata.cells.format,e,r)||null,g=p+(m?a(m)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!u&&(f=w(g)),t.cellHeightMayIncrease=s||u||t.mayHaveMarkup||(void 0===f?w(g):f),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var v=(\" \"===n.wrapSplitCharacter?g.replace(/i&&n.push(a),i+=l}return n}(i,l,s);1===c.length&&(c[0]===i.length-1?c.unshift(c[0]-1):c.push(c[0]+1)),c[0]%2&&c.reverse(),e.each((function(t,e){t.page=c[e],t.scrollY=l})),e.attr(\"transform\",(function(t){var e=D(t.rowBlocks,t.page)-t.scrollY;return u(0,e)})),t&&(C(t,r,e,c,n.prevPages,n,0),C(t,r,e,c,n.prevPages,n,1),x(r,t))}}function L(t,e,r,a){return function(o){var s=o.calcdata?o.calcdata:o,l=e.filter((function(t){return s.key===t.key})),c=r||s.scrollbarState.dragMultiplier,u=s.scrollY;s.scrollY=void 0===a?s.scrollY+c*i.event.dy:a;var f=l.selectAll(\".\"+n.cn.yColumn).selectAll(\".\"+n.cn.columnBlock).filter(A);return E(t,f,l),s.scrollY===u}}function C(t,e,r,n,i,a,o){n[o]!==i[o]&&(clearTimeout(a.currentRepaint[o]),a.currentRepaint[o]=setTimeout((function(){var a=r.filter((function(t,e){return e===o&&n[e]!==i[e]}));b(t,e,a,r),i[o]=n[o]})))}function P(t,e,r,a){return function(){var o=i.select(e.parentNode);o.each((function(t){var e=t.fragments;o.selectAll(\"tspan.line\").each((function(t,r){e[r].width=this.getComputedTextLength()}));var r,i,a=e[e.length-1].width,s=e.slice(0,-1),l=[],c=0,u=t.column.columnWidth-2*n.cellPad;for(t.value=\"\";s.length;)c+(i=(r=s.shift()).width+a)>u&&(t.value+=l.join(n.wrapSpacer)+n.lineBreaker,l=[],c=0),l.push(r.text),c+=i;c&&(t.value+=l.join(n.wrapSpacer)),t.wrapped=!0})),o.selectAll(\"tspan.line\").remove(),_(o.select(\".\"+n.cn.cellText),r,t,a),i.select(e.parentNode.parentNode).call(z)}}function I(t,e,r,a,o){return function(){if(!o.settledY){var s=i.select(e.parentNode),l=B(o),c=o.key-l.firstRowIndex,f=l.rows[c].rowHeight,h=o.cellHeightMayIncrease?e.parentNode.getBoundingClientRect().height+2*n.cellPad:f,p=Math.max(h,f);p-l.rows[c].rowHeight&&(l.rows[c].rowHeight=p,t.selectAll(\".\"+n.cn.columnCell).call(z),E(null,t.filter(A),0),x(r,a,!0)),s.attr(\"transform\",(function(){var t=this.parentNode.getBoundingClientRect(),e=i.select(this.parentNode).select(\".\"+n.cn.cellRect).node().getBoundingClientRect(),r=this.transform.baseVal.consolidate(),a=e.top-t.top+(r?r.matrix.f:n.cellPad);return u(O(o,i.select(this.parentNode).select(\".\"+n.cn.cellTextHolder).node().getBoundingClientRect().width),a)})),o.settledY=!0}}}function O(t,e){switch(t.align){case\"left\":return n.cellPad;case\"right\":return t.column.columnWidth-(e||0)-n.cellPad;case\"center\":return(t.column.columnWidth-(e||0))/2;default:return n.cellPad}}function z(t){t.attr(\"transform\",(function(t){var e=t.rowBlocks[0].auxiliaryBlocks.reduce((function(t,e){return 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t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a>>26;for(;0!==i&&a>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;at.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o>26,this.words[o]=67108863&e;for(;0!==a&&o>26,this.words[o]=67108863&e;if(0===a&&o>>13,p=0|o[1],d=8191&p,g=p>>>13,m=0|o[2],v=8191&m,y=m>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],I=8191&P,O=P>>>13,z=0|o[8],D=8191&z,R=z>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ft=8191&ut,ht=ut>>>13,pt=0|s[9],dt=8191&pt,gt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var mt=(c+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;c=((a=Math.imul(h,V))+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(g,U)|0,a=Math.imul(g,V);var vt=(c+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(g,q)|0,a=a+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,q)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(g,W)|0,a=a+Math.imul(g,X)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,X)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(g,J)|0,a=a+Math.imul(g,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(g,$)|0,a=a+Math.imul(g,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(g,rt)|0,a=a+Math.imul(g,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(O,U)|0,a=Math.imul(O,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(g,at)|0,a=a+Math.imul(g,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(I,q)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,q)|0,a=a+Math.imul(O,G)|0,n=n+Math.imul(L,W)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,a=a+Math.imul(g,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,q)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,X)|0)+Math.imul(O,W)|0,a=a+Math.imul(O,X)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(g,ft)|0,a=a+Math.imul(g,ht)|0;var At=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,gt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,gt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(I,J)|0,i=(i=i+Math.imul(I,K)|0)+Math.imul(O,J)|0,a=a+Math.imul(O,K)|0,n=n+Math.imul(L,$)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((a=a+Math.imul(g,gt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,X))+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(O,$)|0,a=a+Math.imul(O,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,gt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(O,rt)|0,a=a+Math.imul(O,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,gt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,gt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,tt))+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(O,at)|0,a=a+Math.imul(O,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ct)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,gt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,gt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ct)|0)+Math.imul(O,lt)|0,a=a+Math.imul(O,ct)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,gt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,gt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(I,ft)|0,i=(i=i+Math.imul(I,ht)|0)+Math.imul(O,ft)|0,a=a+Math.imul(O,ht)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,gt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((a=a+Math.imul(C,gt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(i=(i=i+Math.imul(I,gt)|0)+Math.imul(O,dt)|0))<<13)|0;c=((a=a+Math.imul(O,gt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var Ot=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,gt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,gt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863;var zt=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,gt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,gt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=mt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=It,l[17]=Ot,l[18]=zt,0!==c&&(l[19]=c,r.length++),r};function g(t,e,r){return(new m).mulp(t,e,r)}function m(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?d(this,t,e):r<63?p(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):g(this,t,e)},m.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n>=1;return n},m.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o>>=1)i++;return 1<>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<o)for(this.length-=o,c=0;c=0&&(0!==u||c>=i);c--){var f=0|this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,g=1;0==(r.words[0]&g)&&d<26;++d,g<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:it.length)return 1;if(this.length=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){ni&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var v={k256:null,p224:null,p192:null,p25519:null};function y(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){y.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){y.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){y.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){y.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}y.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},y.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},y.prototype.split=function(t,e){t.iushrn(this.n,0,e)},y.prototype.imulK=function(t){return t.imul(this.k)},i(x,y),x.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(v[t])return v[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return v[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var f=this.pow(u,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var g=p,m=0;0!==g.cmp(s);m++)g=g.redSqr();n(m=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var f=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4===++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var 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t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var f=a,h=s,p=o,d=l;c&1<0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],m={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||m;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),f=u.cubeEdges,h=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E=g;for(A=0;A<3;++A)this.backgroundEnable[A]?E[A]=h[A]:E[A]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(A=0;A<3;++A){var L=[0,0,0];h[A]>0?L[A]=a[1][A]:L[A]=a[0][A];for(var C=0;C<2;++C){var P=(A+1+C)%3,I=(A+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(A+1+C)%3,I=(A+1+(1^C))%3;this.zeroEnable[I]&&Math.min(a[0][I],a[1][I])<=0&&Math.max(a[0][I],a[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,L,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var O=c(v,M[A].primalMinor),z=c(y,M[A].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=k/r[5*C];O[C]*=D[C]*R,z[C]*=D[C]*R}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,O,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=c(x,M[A].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[A]&&(H[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,F=1,\"auto\"===(S=[this.tickAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(A,U,V);for(C=0;C<3;++C)H[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,B,S)}if(this.labelEnable[A]){F=0,B=[0,0,0],this.labels[A].length>4&&(N(A),F=1),\"auto\"===(S=[this.labelAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(C=0;C<3;++C)H[C]+=k*U[C]*this.labelPad[C]/r[5*C];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],B,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":71,\"./lib/cube.js\":72,\"./lib/lines.js\":73,\"./lib/text.js\":75,\"./lib/ticks.js\":76}],71:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[c]=d;for(var g=-1;g<=1;g+=2)f[u]=g,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var m=c;c=u,u=m}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],72:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],h(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]E&&(w|=1<E&&(w|=1<c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<c[B][0]&&(B=N)}var j=g;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=m,H=w;for(A=0;A<3;++A)V[A]=H&1< HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n b - PI :\\n b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n // if ratio is set to 0.5 then it is 50%, 50%.\\n // when using a higher ratio e.g. 0.75 the result would\\n // likely be more horizontal than vertical.\\n\\n float b = positive_angle(a);\\n\\n return\\n (b < ( ratio) * HALF_PI) ? 0.0 :\\n (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n 0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n float b = positive_angle(a);\\n float div = TWO_PI / float(n);\\n float c = roundTo(b, div);\\n return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n return\\n (option > 2) ? look_round_n_directions(rawAngle + delta, option) : // option 3-n: round to n directions\\n (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n (option == 1) ? rawAngle + delta : // use free angle, and flip to align with one direction of the axis\\n (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n (option ==-1) ? 0.0 : // useful for backward compatibility, all texts remains horizontal\\n rawAngle; // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n (axis.y == 0.0) &&\\n (axis.z == 0.0);\\n\\nvoid main() {\\n //Compute world offset\\n float axisDistance = position.z;\\n vec3 dataPosition = axisDistance * axis + offset;\\n\\n float beta = angle; // i.e. user defined attributes for each tick\\n\\n float axisAngle;\\n float clipAngle;\\n float flip;\\n\\n if (enableAlign) {\\n axisAngle = (isAxisTitle) ? HALF_PI :\\n computeViewAngle(dataPosition, dataPosition + axis);\\n clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n beta += applyAlignOption(clipAngle, flip * PI);\\n }\\n\\n //Compute plane offset\\n vec2 planeCoord = position.xy * pixelScale;\\n\\n mat2 planeXform = scale * mat2(\\n cos(beta), sin(beta),\\n -sin(beta), cos(beta)\\n );\\n\\n vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n //Compute clip position\\n vec3 clipPosition = project(dataPosition);\\n\\n //Apply text offset in clip coordinates\\n clipPosition += vec3(viewOffset, 0.0);\\n\\n //Done\\n gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n gl_FragColor = color;\\n}\"]);r.text=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n vec3 realNormal = signAxis * normal;\\n\\n if(dot(realNormal, enable) > 0.0) {\\n vec3 minRange = min(bounds[0], bounds[1]);\\n vec3 maxRange = max(bounds[0], bounds[1]);\\n vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n } else {\\n gl_Position = vec4(0,0,0,0);\\n }\\n\\n colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n gl_FragColor = colorChannel.x * colors[0] +\\n colorChannel.y * colors[1] +\\n colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return i(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":132,glslify:231}],75:[function(t,e,r){(function(r){(function(){\"use strict\";e.exports=function(t,e,r,a,s,l){var u=n(t),f=i(t,[{buffer:u,size:3}]),h=o(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,a,s,l),p};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,f=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=u.positions,p=u.cells,d=0,g=p.length;d=0;--v){var y=h[m[v]];o.push(f*y[0],-f*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(o.length/3|0)-f[d],c[d]=o.length/3|0;for(var g=0;g=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),i){for(var f=\"\"+c;f.length=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;nr)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:259,\"ndarray-ops\":254,\"typedarray-pool\":308}],79:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,h=-1/0,p=null,d=null,g=[],m=1/0,v=!1,y=0;yo&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(m=Math.min(m,_),v=!1):v=!0}v||(p=x,d=b),g.push(b)}var w=[s,c,f],T=[l,u,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(m)||(m=1),a.vectorScale=m;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A;y=0;for(var M=0;y=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,g=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],g=+t.vertexIntensityBounds[1];else for(var m=0;m0){var g=this.triShader;g.bind(),g.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=g(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var f=i(t),p=i(t),m=i(t),v=i(t),y=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,u,s,l,f,p,y,m,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],81:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n // Return up-vector for only-z vector.\\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\\n // Assign z = 0, x = -b, y = a:\\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n return normalize(vec3(-v.y, v.x, 0.0));\\n } else {\\n return normalize(vec3(0.0, v.z, -v.y));\\n }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n// segment + 0 top vertex\\n// segment + 1 perimeter vertex a+1\\n// segment + 2 perimeter vertex a\\n// segment + 3 center base vertex\\n// segment + 4 perimeter vertex a\\n// segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n const float segmentCount = 8.0;\\n\\n float index = rawIndex - floor(rawIndex /\\n (segmentCount * 6.0)) *\\n (segmentCount * 6.0);\\n\\n float segment = floor(0.001 + index/6.0);\\n float segmentIndex = index - (segment*6.0);\\n\\n normal = -normalize(d);\\n\\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n return mix(vec3(0.0), -d, coneOffset);\\n }\\n\\n float nextAngle = (\\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\\n (segmentIndex > 4.99 && segmentIndex < 5.01)\\n ) ? 1.0 : 0.0;\\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n vec3 v2 = v1 - d;\\n\\n vec3 u = getOrthogonalVector(d);\\n vec3 v = normalize(cross(u, d));\\n\\n vec3 x = u * cos(angle) * length(d)*0.25;\\n vec3 y = v * sin(angle) * length(d)*0.25;\\n vec3 v3 = v2 + x + y;\\n if (segmentIndex < 3.0) {\\n vec3 tx = u * sin(angle);\\n vec3 ty = v * -cos(angle);\\n vec3 tangent = tx + ty;\\n normal = normalize(cross(v3 - v1, tangent));\\n }\\n\\n if (segmentIndex == 0.0) {\\n return mix(d, vec3(0.0), coneOffset);\\n }\\n return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n // Scale the vector magnitude to stay constant with\\n // model & view changes.\\n vec3 normal;\\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n //Lighting geometry parameters\\n vec4 cameraCoordinate = view * conePosition;\\n cameraCoordinate.xyz /= cameraCoordinate.w;\\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n // vec4 m_position = model * vec4(conePosition, 1.0);\\n vec4 t_position = view * conePosition;\\n gl_Position = projection * t_position;\\n\\n f_color = color;\\n f_data = conePosition.xyz;\\n f_position = position.xyz;\\n f_uv = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n float NdotH = max(x, 0.0001);\\n float cos2Alpha = NdotH * NdotH;\\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n float roughness2 = roughness * roughness;\\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n vec3 lightDirection,\\n vec3 viewDirection,\\n vec3 surfaceNormal,\\n float roughness,\\n float fresnel) {\\n\\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n //Half angle vector\\n vec3 H = normalize(lightDirection + viewDirection);\\n\\n //Geometric term\\n float NdotH = max(dot(surfaceNormal, H), 0.0);\\n float VdotH = max(dot(viewDirection, H), 0.000001);\\n float LdotH = max(dot(lightDirection, H), 0.000001);\\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n float G = min(1.0, min(G1, G2));\\n \\n //Distribution term\\n float D = beckmannDistribution(NdotH, roughness);\\n\\n //Fresnel term\\n float F = pow(1.0 - VdotN, fresnel);\\n\\n //Multiply terms and done\\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n vec3 N = normalize(f_normal);\\n vec3 L = normalize(f_lightDirection);\\n vec3 V = normalize(f_eyeDirection);\\n\\n if(gl_FrontFacing) {\\n N = -N;\\n }\\n\\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\\n\\n gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n // Return up-vector for only-z vector.\\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\\n // Assign z = 0, x = -b, y = a:\\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n return normalize(vec3(-v.y, v.x, 0.0));\\n } else {\\n return normalize(vec3(0.0, v.z, -v.y));\\n }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n// segment + 0 top vertex\\n// segment + 1 perimeter vertex a+1\\n// segment + 2 perimeter vertex a\\n// segment + 3 center base vertex\\n// segment + 4 perimeter vertex a\\n// segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n const float segmentCount = 8.0;\\n\\n float index = rawIndex - floor(rawIndex /\\n (segmentCount * 6.0)) *\\n (segmentCount * 6.0);\\n\\n float segment = floor(0.001 + index/6.0);\\n float segmentIndex = index - (segment*6.0);\\n\\n normal = -normalize(d);\\n\\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n return mix(vec3(0.0), -d, coneOffset);\\n }\\n\\n float nextAngle = (\\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\\n (segmentIndex > 4.99 && segmentIndex < 5.01)\\n ) ? 1.0 : 0.0;\\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n vec3 v2 = v1 - d;\\n\\n vec3 u = getOrthogonalVector(d);\\n vec3 v = normalize(cross(u, d));\\n\\n vec3 x = u * cos(angle) * length(d)*0.25;\\n vec3 y = v * sin(angle) * length(d)*0.25;\\n vec3 v3 = v2 + x + y;\\n if (segmentIndex < 3.0) {\\n vec3 tx = u * sin(angle);\\n vec3 ty = v * -cos(angle);\\n vec3 tangent = tx + ty;\\n normal = normalize(cross(v3 - v1, tangent));\\n }\\n\\n if (segmentIndex == 0.0) {\\n return mix(d, vec3(0.0), coneOffset);\\n }\\n return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n vec3 normal;\\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n gl_Position = projection * view * conePosition;\\n f_id = id;\\n f_position = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:231}],82:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORM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n=t(\"./1.0/numbers\");e.exports=function(t){return n[t]}},{\"./1.0/numbers\":82}],84:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var c=new s(e,r,o,l);return c.update(t),c};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders/index\"),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function c(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*u,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=u[n],a=0;a0)(g=u.slice())[s]+=p[1][s],i.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,g[0],g[1],g[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,g),o+=2+f(i,g,d,s)}}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{\"./shaders/index\":85,\"gl-buffer\":78,\"gl-vao\":150}],85:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, offset;\\nattribute vec4 color;\\nuniform mat4 model, view, projection;\\nuniform float capSize;\\nvarying vec4 fragColor;\\nvarying vec3 fragPosition;\\n\\nvoid main() {\\n vec4 worldPosition = model * vec4(position, 1.0);\\n worldPosition = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n gl_Position = projection * view * worldPosition;\\n fragColor = color;\\n fragPosition = position;\\n}\"]),o=n([\"precision highp float;\\n#define GLSLIFY 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n=t(\"gl-texture2d\");e.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension(\"WEBGL_draw_buffers\");!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;au||r<0||r>u)throw new Error(\"gl-fbo: Parameters are too large for FBO\");var f=1;if(\"color\"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(f>1){if(!c)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(f>t.getParameter(c.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+f+\" draw buffers\")}}var h=t.UNSIGNED_BYTE,p=t.getExtension(\"OES_texture_float\");if(n.float&&f>0){if(!p)throw new Error(\"gl-fbo: Context does not support floating point textures\");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var g=!0;\"depth\"in n&&(g=!!n.depth);var m=!1;\"stencil\"in n&&(m=!!n.stencil);return new d(t,e,r,h,f,g,m,c)};var i,a,o,s,l=null;function c(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error(\"gl-fbo: Framebuffer unsupported\");case a:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;vi||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var g=i.attributes;return this.positionBuffer.bind(),g.position.pointer(),this.weightBuffer.bind(),g.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),g.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,f,p,d=t.colorLevels||[0],g=t.colorValues||[0,0,0,1],m=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],f=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,f=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(f-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float dashScale;\\nuniform float opacity;\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n if (\\n outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n fragColor.a * opacity == 0.\\n ) discard;\\n\\n float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n if(dashWeight < 0.5) {\\n discard;\\n }\\n gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX 1.70141184e38\\n#define FLOAT_MIN 1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n float av = abs(v);\\n\\n //Handle special cases\\n if(av < FLOAT_MIN) {\\n return vec4(0.0, 0.0, 0.0, 0.0);\\n } else if(v > FLOAT_MAX) {\\n return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n } else if(v < -FLOAT_MAX) {\\n return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n }\\n\\n vec4 c = vec4(0,0,0,0);\\n\\n //Compute exponent and mantissa\\n float e = floor(log2(av));\\n float m = av * pow(2.0, -e) - 1.0;\\n\\n //Unpack mantissa\\n c[1] = floor(128.0 * m);\\n m -= c[1] / 128.0;\\n c[2] = floor(32768.0 * m);\\n m -= c[2] / 32768.0;\\n c[3] = floor(8388608.0 * m);\\n\\n //Unpack exponent\\n float ebias = e + 127.0;\\n c[0] = floor(ebias / 2.0);\\n ebias -= c[0] * 2.0;\\n c[1] += floor(ebias) * 128.0;\\n\\n //Unpack sign bit\\n c[0] += 128.0 * step(0.0, -v);\\n\\n //Scale back to range\\n return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{\"gl-shader\":132,glslify:231}],91:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var g=new v(e,r,o,s,l,d);return g.update(t),g};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),f=u.createShader,h=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function g(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function m(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:g(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:g(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],g=t.lineWidth||1,m=!1;t:for(e=1;e0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,m=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),x=Array.isArray(g)?g.length>e-1?g[e-1]:g.length>0?g[g.length-1]:[0,0,0,1]:g;var T=s;if(s+=d(b,_),m){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3]);u+=2,m=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,v[0],v[1],v[2],v[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=u,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e1.0001)return null;v+=m[f]}if(Math.abs(v-1)>.001)return null;return[h,s(t,m),m]}},{barycentric:14,\"polytope-closest-point/lib/closest_point_2d.js\":270}],111:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n , view\\n , projection\\n , inverseModel;\\nuniform vec3 eyePosition\\n , lightPosition;\\n\\nvarying vec3 f_normal\\n , f_lightDirection\\n , f_eyeDirection\\n , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n gl_Position = project(position);\\n\\n //Lighting geometry parameters\\n vec4 cameraCoordinate = view * vec4(position , 1.0);\\n cameraCoordinate.xyz /= cameraCoordinate.w;\\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n f_color = color;\\n f_data = position;\\n f_uv = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n float NdotH = max(x, 0.0001);\\n float cos2Alpha = NdotH * NdotH;\\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n float roughness2 = roughness * roughness;\\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n vec3 lightDirection,\\n vec3 viewDirection,\\n vec3 surfaceNormal,\\n float roughness,\\n float fresnel) {\\n\\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n //Half angle vector\\n vec3 H = normalize(lightDirection + viewDirection);\\n\\n //Geometric term\\n float NdotH = max(dot(surfaceNormal, H), 0.0);\\n float VdotH = max(dot(viewDirection, H), 0.000001);\\n float LdotH = max(dot(lightDirection, H), 0.000001);\\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n float G = min(1.0, min(G1, G2));\\n \\n //Distribution term\\n float D = beckmannDistribution(NdotH, roughness);\\n\\n //Fresnel term\\n float F = pow(1.0 - VdotN, fresnel);\\n\\n //Multiply terms and done\\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n , fresnel\\n , kambient\\n , kdiffuse\\n , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n , f_lightDirection\\n , f_eyeDirection\\n , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (f_color.a == 0.0 ||\\n outOfRange(clipBounds[0], clipBounds[1], f_data)\\n ) discard;\\n\\n vec3 N = normalize(f_normal);\\n vec3 L = normalize(f_lightDirection);\\n vec3 V = normalize(f_eyeDirection);\\n\\n if(gl_FrontFacing) {\\n N = -N;\\n }\\n\\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\\n\\n gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n f_color = color;\\n f_data = position;\\n f_uv = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n } else {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n }\\n gl_PointSize = pointSize;\\n f_color = color;\\n f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n if(dot(pointR, pointR) > 0.25) {\\n discard;\\n }\\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n f_id = id;\\n f_position = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute float pointSize;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n } else {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n gl_PointSize = pointSize;\\n }\\n f_id = id;\\n f_position = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:231}],112:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),f=t(\"colormap\"),h=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),g=t(\"./lib/closest-point\"),m=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=m,this.edgeUVs=v,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;ai[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*g[t+2],ki[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),g.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),g.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],f=a[o],g=a[o+2]-f,m=i[o],v=i[o+2]-m;p[o]=2*l/u*g/v,h[o]=2*(s-c)/u*g/v}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),g.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e=0){var g=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(g,e[1],g,e[3],p[d],h[d]):o.drawLine(e[0],g,e[2],g,p[d],h[d])}}for(d=0;d=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;rMath.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),i=t(\"3d-view\"),a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":7,\"has-passive-events\":232,\"mouse-change\":247,\"mouse-event-offset\":248,\"mouse-wheel\":250,\"right-now\":278}],120:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n uv = position;\\n gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":132,glslify:231}],121:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),i=t(\"gl-axes3d\"),a=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),f=t(\"gl-mat4/perspective\"),h=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function g(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function m(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new g,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],I=!0,O=!0,z=new Array(16),D=new Array(16),R={view:null,projection:z,model:D,_ortho:!1},F=(O=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:A,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,O=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*N.pixelRatio),a=0|Math.ceil(n*N.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n0&&0===C[e-1];)C.pop(),P.pop().dispose()}function H(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,O=!0)},N.add=function(t){N._stopped||(t.axes=A,E.push(t),L.push(-1),I=!0,O=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),I=!0,O=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",H),N.mouseListener.enabled=!1,!N.contextLost)){A.dispose(),S.dispose();for(var t=0;tx.distance)continue;for(var c=0;c 1.0) {\\n discard;\\n }\\n baseColor = mix(borderColor, color, step(radius, centerFraction));\\n gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n vec3 hgPosition = matrix * vec3(position, 1);\\n gl_Position = vec4(hgPosition.xy, 0, hgPosition.z);\\n gl_PointSize = pointSize;\\n\\n vec4 id = pickId + pickOffset;\\n id.y += floor(id.x / 256.0);\\n id.x -= floor(id.x / 256.0) * 256.0;\\n\\n id.z += floor(id.y / 256.0);\\n id.y -= floor(id.y / 256.0) * 256.0;\\n\\n id.w += floor(id.z / 256.0);\\n id.z -= floor(id.z / 256.0) * 256.0;\\n\\n fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n if(radius > 1.0) {\\n discard;\\n }\\n gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:231}],123:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),f=new s(t,a,l,c,u);return f.update(e),t.addObject(f),f};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e>>1;for(r=0;r=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":122,\"gl-buffer\":78,\"gl-shader\":132,\"typedarray-pool\":308}],124:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],p=r[0],d=r[1],g=r[2],m=r[3];(a=c*p+u*d+f*g+h*m)<0&&(a=-a,p=-p,d=-d,g=-g,m=-m);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*f+l*g,t[3]=s*h+l*m,t}},{}],125:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],126:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0,0,0,0);\\n } else {\\n float scale = 1.0;\\n if(distance(highlightId, id) < 0.0001) {\\n scale = highlightScale;\\n }\\n\\n vec4 worldPosition = model * vec4(position, 1);\\n vec4 viewPosition = view * worldPosition;\\n viewPosition = viewPosition / viewPosition.w;\\n vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n gl_Position = clipPosition;\\n interpColor = color;\\n pickId = id;\\n dataCoordinate = position;\\n }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0,0,0,0);\\n } else {\\n float scale = pixelRatio;\\n if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n scale *= highlightScale;\\n }\\n\\n vec4 worldPosition = model * vec4(position, 1.0);\\n vec4 viewPosition = view * worldPosition;\\n vec4 clipPosition = projection * viewPosition;\\n clipPosition /= clipPosition.w;\\n\\n gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n interpColor = color;\\n pickId = id;\\n dataCoordinate = position;\\n }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0,0,0,0);\\n } else {\\n float lscale = pixelRatio * scale;\\n if(distance(highlightId, id) < 0.0001) {\\n lscale *= highlightScale;\\n }\\n\\n vec4 clipCenter = projection * view * model * vec4(position, 1);\\n vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n gl_Position = clipPosition;\\n interpColor = color;\\n pickId = id;\\n dataCoordinate = dataPosition;\\n }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (\\n outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n interpColor.a * opacity == 0.\\n ) discard;\\n gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},m={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return v(t,f)},r.createOrtho=function(t){return v(t,h)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,g)},r.createPickProject=function(t){return v(t,m)}},{\"gl-shader\":132,glslify:231}],128:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t||t>1?1:t}function m(t,e,r,n,i,a,o,s,l,c,u,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),g=a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new m(e,r,n,o,f,h,p,d,g,s,c,u);return v.update(t),v};var v=m.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||f,u=r.view||f,h=r.projection||f,d=e.axesBounds,g=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var m=0;m<3;++m)if(a[m]){l.scale=e.projectScale[m],l.opacity=e.projectOpacity[m];for(var v=T,L=0;L<16;++L)v[L]=0;for(L=0;L<4;++L)v[5*L]=1;v[5*m]=0,i[m]<0?v[12+m]=d[0][m]:v[12+m]=d[1][m],s(v,c,v),l.model=v;var C=(m+1)%3,P=(m+2)%3,I=M(x),O=M(b);I[C]=1,O[P]=1;var z=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,O));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=I,I=O,O=R;var F=C;C=P,P=F}z[0]<0&&(I[C]=-1),D[1]>0&&(O[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);I[C]/=Math.sqrt(B),O[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=O,l.fragClipBounds[0]=E(k,g[0],m,-1e8),l.fragClipBounds[1]=E(k,g[1],m,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&L(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,i){var a;a=Array.isArray(t)?e=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=g(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=g(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n0){var O=0,z=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n0?1-M[0][0]:Y<0?1+M[1][0]:1,W*=W>0?1-M[0][1]:W<0?1+M[1][1]:1],Z=k.cells||[],J=k.positions||[];for(T=0;T0){var v=r*u;o.drawBox(f-v,h-v,p+v,h+v,a),o.drawBox(f-v,d-v,p+v,d+v,a),o.drawBox(f-v,h-v,f+v,d+v,a),o.drawBox(p-v,h-v,p+v,d+v,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":129,\"gl-buffer\":78,\"gl-shader\":132}],131:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],a=e[1],o=n(t,r,a,{}),s=i.mallocUint8(r*a*4);return new l(t,o,s)};var n=t(\"gl-fbo\"),i=t(\"typedarray-pool\"),a=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function 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c=u(n);Object.defineProperty(t,e,{get:a(c),set:l(n),enumerable:!0,configurable:!1})}else s[n]?Object.defineProperty(t,e,{get:(f=n,function(t,e,r){return t.getUniform(e.program,r[f])}),set:l(n),enumerable:!0,configurable:!1}):t[e]=function(t){switch(t){case\"bool\":return!1;case\"int\":case\"sampler2D\":case\"samplerCube\":case\"float\":return 0;default:var e=t.indexOf(\"vec\");if(0<=e&&e<=1&&t.length===4+e){if((r=t.charCodeAt(t.length-1)-48)<2||r>4)throw new i(\"\",\"Invalid data type\");return\"b\"===t.charAt(0)?o(r,!1):o(r,0)}if(0===t.indexOf(\"mat\")&&4===t.length){var r;if((r=t.charCodeAt(t.length-1)-48)<2||r>4)throw new i(\"\",\"Invalid uniform dimension type for matrix \"+name+\": \"+t);return o(r*r,0)}throw new i(\"\",\"Unknown uniform data type for \"+name+\": \"+t)}}(r[n].type);var f}function u(t){var e;if(Array.isArray(t)){e=new Array(t.length);for(var r=0;r1){s[0]in a||(a[s[0]]=[]),a=a[s[0]];for(var l=1;l1)for(var l=0;l 0 U ||b|| > 0.\\n // Assign z = 0, x = -b, y = a:\\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n return normalize(vec3(-v.y, v.x, 0.0));\\n } else {\\n return normalize(vec3(0.0, v.z, -v.y));\\n }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n float segmentCount = 8.0;\\n\\n float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n vec3 u = getOrthogonalVector(d);\\n vec3 v = normalize(cross(u, d));\\n\\n vec3 x = u * cos(angle) * length(d);\\n vec3 y = v * sin(angle) * length(d);\\n vec3 v3 = x + y;\\n\\n normal = normalize(v3);\\n\\n return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n // Scale the vector magnitude to stay constant with\\n // model & view changes.\\n vec3 normal;\\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n //Lighting geometry parameters\\n vec4 cameraCoordinate = view * tubePosition;\\n cameraCoordinate.xyz /= cameraCoordinate.w;\\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n // vec4 m_position = model * vec4(tubePosition, 1.0);\\n vec4 t_position = view * tubePosition;\\n gl_Position = projection * t_position;\\n\\n f_color = color;\\n f_data = tubePosition.xyz;\\n f_position = position.xyz;\\n f_uv = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n float NdotH = max(x, 0.0001);\\n float cos2Alpha = NdotH * NdotH;\\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n float roughness2 = roughness * roughness;\\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n vec3 lightDirection,\\n vec3 viewDirection,\\n vec3 surfaceNormal,\\n float roughness,\\n float fresnel) {\\n\\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n //Half angle vector\\n vec3 H = normalize(lightDirection + viewDirection);\\n\\n //Geometric term\\n float NdotH = max(dot(surfaceNormal, H), 0.0);\\n float VdotH = max(dot(viewDirection, H), 0.000001);\\n float LdotH = max(dot(lightDirection, H), 0.000001);\\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n float G = min(1.0, min(G1, G2));\\n \\n //Distribution term\\n float D = beckmannDistribution(NdotH, roughness);\\n\\n //Fresnel term\\n float F = pow(1.0 - VdotN, fresnel);\\n\\n //Multiply terms and done\\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n vec3 N = normalize(f_normal);\\n vec3 L = normalize(f_lightDirection);\\n vec3 V = normalize(f_eyeDirection);\\n\\n if(gl_FrontFacing) {\\n N = -N;\\n }\\n\\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\\n\\n gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n // Return up-vector for only-z vector.\\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\\n // Assign z = 0, x = -b, y = a:\\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n return normalize(vec3(-v.y, v.x, 0.0));\\n } else {\\n return normalize(vec3(0.0, v.z, -v.y));\\n }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n float segmentCount = 8.0;\\n\\n float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n vec3 u = getOrthogonalVector(d);\\n vec3 v = normalize(cross(u, d));\\n\\n vec3 x = u * cos(angle) * length(d);\\n vec3 y = v * sin(angle) * length(d);\\n vec3 v3 = x + y;\\n\\n normal = normalize(v3);\\n\\n return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n vec3 normal;\\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n gl_Position = projection * view * tubePosition;\\n f_id = id;\\n f_position = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:231}],143:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),i=t(\"gl-vec4\"),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,a){for(var o=0,s=0;s0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(y,v,v,v,y,y),d.push(g,m,m,m,g,g);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=y;y=v,v=S;var E=g;g=m,m=E}return{positions:c,cells:u,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;se)return r-1}return r},l=function(t,e,r){return tr?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;nf-1||y>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][v],E=a[1][g],L=a[1][y],C=a[2][m],P=(o-M)/(S-M),I=(c-E)/(L-E),O=(u-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(O)||(O=.5),r.reversedX&&(d=f-1-d,v=f-1-v),r.reversedY&&(g=h-1-g,y=h-1-y),r.reversedZ&&(m=p-1-m,x=p-1-x),r.filled){case 5:k=m,A=x,w=g*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=m,A=x,b=d*p,_=v*p,w=g*p*f,T=y*p*f;break;case 3:w=g,T=y,k=m*h,A=x*h,b=d*h*p,_=v*h*p;break;case 2:w=g,T=y,b=d*h,_=v*h,k=m*h*f,A=x*h*f;break;case 1:b=d,_=v,k=m*f,A=x*f,w=g*f*p,T=y*f*p;break;default:b=d,_=v,w=g*f,T=y*f,k=m*f*h,A=x*f*h}var z=i[b+w+k],D=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(H,D,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,q,I),n.lerp(W,H,G,I);var X=n.create();return n.lerp(X,Y,W,O),X}(e,t,p)},g=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},m=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(eb||r_||nw)},k=10*n.distance(e[0],e[1])/i,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,l=0;lS&&(S=F),D.push(F),m.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*i&&P.lengthA&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),O=d(N),n.squaredDistance(z,N)-A>-1e-4*A){P.push(N),z=N,I.push(O);R=g(N,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var U=o(m,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var u=t(\"./lib/shaders\"),f=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return f(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":142,\"gl-cone3d\":79,\"gl-vec3\":169,\"gl-vec4\":205}],144:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n vec3 localCoordinate = vec3(uv.zw, f.x);\\n worldCoordinate = objectOffset + localCoordinate;\\n vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n vec4 clipPosition = projection * view * worldPosition;\\n gl_Position = clipPosition;\\n kill = f.y;\\n value = f.z;\\n planeCoordinate = uv.xy;\\n\\n vColor = texture2D(colormap, vec2(value, value));\\n\\n //Lighting geometry parameters\\n vec4 cameraCoordinate = view * worldPosition;\\n cameraCoordinate.xyz /= cameraCoordinate.w;\\n lightDirection = lightPosition - cameraCoordinate.xyz;\\n eyeDirection = eyePosition - cameraCoordinate.xyz;\\n surfaceNormal = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n float NdotH = max(x, 0.0001);\\n float cos2Alpha = NdotH * NdotH;\\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n float roughness2 = roughness * roughness;\\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n vec3 lightDirection,\\n vec3 viewDirection,\\n vec3 surfaceNormal,\\n float roughness) {\\n return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n if (\\n kill > 0.0 ||\\n vColor.a == 0.0 ||\\n outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n ) discard;\\n\\n vec3 N = normalize(surfaceNormal);\\n vec3 V = normalize(eyeDirection);\\n vec3 L = normalize(lightDirection);\\n\\n if(gl_FrontFacing) {\\n N = -N;\\n }\\n\\n float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n //decide how to interpolate color \\u2014 in vertex or in fragment\\n vec4 surfaceColor =\\n step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n step(.5, vertexColor) * vColor;\\n\\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\\n\\n gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n worldCoordinate = objectOffset + dataCoordinate;\\n vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n vec4 clipPosition = projection * view * worldPosition;\\n clipPosition.z += zOffset;\\n\\n gl_Position = clipPosition;\\n value = f + objectOffset.z;\\n kill = -1.0;\\n planeCoordinate = uv.zw;\\n\\n vColor = texture2D(colormap, vec2(value, value));\\n\\n //Don't do lighting for contours\\n surfaceNormal = vec3(1,0,0);\\n eyeDirection = vec3(0,1,0);\\n lightDirection = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n float vh = 255.0 * v;\\n float upper = floor(vh);\\n float lower = fract(vh);\\n return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n if ((kill > 0.0) ||\\n (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":132,glslify:231}],145:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),g=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var m=new M(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,f,h,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",m.update(v),m};var n=t(\"bit-twiddle\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),f=t(\"ndarray\"),h=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),g=t(\"binary-search-bounds\"),m=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function A(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function M(t,e,r,n,i,a,o,l,c,u,h,p,d,g,m){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=m,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=g,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=M.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],L={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function C(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=L.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=L.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return L.showSurface=o,L.showContour=s,L}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),O=[1,0,0,0,1,0,0,0,1];function z(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=O,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=C(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var f=u?a:1-a,h=0;h<2;++h)for(var p=i+u,d=s+h,m=f*(h?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*m;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=g.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==a[v])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var g=[0,0];g[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],g,0)}this._field[0].set(0,0,0);for(var v=0;v0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;oi||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function g(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function m(t){var e=t.createTexture();return 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t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},d.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l){this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l)}else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,c,u){var h=u.dtype,p=u.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var d=0,m=0,v=g(p,u.stride.slice());\"float32\"===h?d=t.FLOAT:\"float64\"===h?(d=t.FLOAT,v=!1,h=\"float32\"):\"uint8\"===h?d=t.UNSIGNED_BYTE:(d=t.UNSIGNED_BYTE,v=!1,h=\"uint8\");if(2===p.length)m=t.LUMINANCE,p=[p[0],p[1],1],u=n(u.data,p,[u.stride[0],u.stride[1],1],u.offset);else{if(3!==p.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===p[2])m=t.ALPHA;else if(2===p[2])m=t.LUMINANCE_ALPHA;else if(3===p[2])m=t.RGB;else{if(4!==p[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");m=t.RGBA}p[2]}m!==t.LUMINANCE&&m!==t.ALPHA||s!==t.LUMINANCE&&s!==t.ALPHA||(m=s);if(m!==s)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var y=u.size,x=c.indexOf(o)<0;x&&c.push(o);if(d===l&&v)0===u.offset&&u.data.length===y?x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,u.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,u.data):x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,u.data.subarray(u.offset,u.offset+y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,u.data.subarray(u.offset,u.offset+y));else{var b;b=l===t.FLOAT?a.mallocFloat32(y):a.mallocUint8(y);var _=n(b,p,[p[2],p[2]*p[0],1]);d===t.FLOAT&&l===t.UNSIGNED_BYTE?f(_,u):i.assign(_,u),x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,b.subarray(0,y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,b.subarray(0,y)),l===t.FLOAT?a.freeFloat32(b):a.freeUint8(b)}}(s,e,r,o,this.format,this.type,this._mipLevels,t)}}},{ndarray:259,\"ndarray-ops\":254,\"typedarray-pool\":308}],147:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){e?e.bind():t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null);var n=0|t.getParameter(t.MAX_VERTEX_ATTRIBS);if(r){if(r.length>n)throw new 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vt=(c+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,q)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(m,W)|0,a=a+Math.imul(m,X)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,X)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(m,$)|0,a=a+Math.imul(m,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(O,U)|0,a=Math.imul(O,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(I,q)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,q)|0,a=a+Math.imul(O,G)|0,n=n+Math.imul(L,W)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,q)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,X)|0)+Math.imul(O,W)|0,a=a+Math.imul(O,X)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var At=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,mt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,mt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(I,J)|0,i=(i=i+Math.imul(I,K)|0)+Math.imul(O,J)|0,a=a+Math.imul(O,K)|0,n=n+Math.imul(L,$)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,mt)|0)+Math.imul(m,dt)|0))<<13)|0;c=((a=a+Math.imul(m,mt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,X))+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(O,$)|0,a=a+Math.imul(O,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,mt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,mt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(O,rt)|0,a=a+Math.imul(O,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,mt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,mt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,tt))+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(O,at)|0,a=a+Math.imul(O,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ct)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,mt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,mt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ct)|0)+Math.imul(O,lt)|0,a=a+Math.imul(O,ct)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,mt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,mt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(I,ft)|0,i=(i=i+Math.imul(I,ht)|0)+Math.imul(O,ft)|0,a=a+Math.imul(O,ht)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,mt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((a=a+Math.imul(C,mt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(i=(i=i+Math.imul(I,mt)|0)+Math.imul(O,dt)|0))<<13)|0;c=((a=a+Math.imul(O,mt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var Ot=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,mt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,mt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863;var zt=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,mt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,mt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=gt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=It,l[17]=Ot,l[18]=zt,0!==c&&(l[19]=c,r.length++),r};function m(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?d(this,t,e):r<63?p(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):m(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o>>=1)i++;return 1<>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<o)for(this.length-=o,c=0;c=0&&(0!==u||c>=i);c--){var f=0|this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,m=1;0==(r.words[0]&m)&&d<26;++d,m<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:it.length)return 1;if(this.length=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){ni&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var v={k256:null,p224:null,p192:null,p25519:null};function y(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){y.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){y.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){y.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){y.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}y.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},y.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},y.prototype.split=function(t,e){t.iushrn(this.n,0,e)},y.prototype.imulK=function(t){return t.imul(this.k)},i(x,y),x.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(v[t])return v[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return v[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var f=this.pow(u,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var m=p,g=0;0!==m.cmp(s);g++)m=m.redSqr();n(g=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var f=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4===++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var 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n=this._state,i=this._velocity,o=n.length-this.dimension,s=this.bounds,l=s[0],c=s[1],u=t-e,f=u>1e-6?1/u:0;this._time.push(t);for(var h=r;h>0;--h){var p=arguments[h];n.push(a(l[h-1],c[h-1],n[o++]+p)),i.push(p*f)}}},s.idle=function(t){var e=this.lastT();if(!(t=0;--f)n.push(a(l[f],c[f],n[o]+u*i[o])),i.push(0),o+=1}}},{\"binary-search-bounds\":31,\"cubic-hermite\":62}],69:[function(t,e,r){\"use strict\";e.exports=function(t){return new s(t||m,null)};function n(t,e,r,n,i,a){this._color=t,this.key=e,this.value=r,this.left=n,this.right=i,this._count=a}function i(t){return new n(t._color,t.key,t.value,t.left,t.right,t._count)}function a(t,e){return new n(t,e.key,e.value,e.left,e.right,e._count)}function o(t){t._count=1+(t.left?t.left._count:0)+(t.right?t.right._count:0)}function s(t,e){this._compare=t,this.root=e}var l=s.prototype;function c(t,e){var r;if(e.left&&(r=c(t,e.left)))return r;return(r=t(e.key,e.value))||(e.right?c(t,e.right):void 0)}function u(t,e,r,n){if(e(t,n.key)<=0){var 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m;if(h.left=i.right,p._color=0,p.right=i.left,i._color=1,i.right=h,i.left=p,l[f-2]=i,l[f-1]=h,o(p),o(h),o(i),f>=3)(m=l[f-3]).right===p?m.right=i:m.left=i;break}h._color=1,p.left=a(1,d),p._color=0,f-=1}}return l[0]._color=1,new s(r,l[0])},l.forEach=function(t,e,r){if(this.root)switch(arguments.length){case 1:return c(t,this.root);case 2:return u(e,this._compare,t,this.root);case 3:if(this._compare(e,r)>=0)return;return f(e,r,this._compare,t,this.root)}},Object.defineProperty(l,\"begin\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.left;return new h(this,t)}}),Object.defineProperty(l,\"end\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.right;return new h(this,t)}}),l.at=function(t){if(t<0)return new h(this,[]);for(var e=this.root,r=[];;){if(r.push(e),e.left){if(t=e.right._count)break;e=e.right}return new h(this,[])},l.ge=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new h(this,n);r=i<=0?r.left:r.right}return new h(this,[])},l.remove=function(t){var e=this.find(t);return e?e.remove():this},l.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var p=h.prototype;function d(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function m(t,e){return te?1:0}Object.defineProperty(p,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(p,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),p.clone=function(){return new h(this.tree,this._stack.slice())},p.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var e=new Array(t.length),r=t[t.length-1];e[e.length-1]=new n(r._color,r.key,r.value,r.left,r.right,r._count);for(var l=t.length-2;l>=0;--l){(r=t[l]).left===t[l+1]?e[l]=new n(r._color,r.key,r.value,e[l+1],r.right,r._count):e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count)}if((r=e[e.length-1]).left&&r.right){var c=e.length;for(r=r.left;r.right;)e.push(r),r=r.right;var u=e[c-1];e.push(new n(r._color,u.key,u.value,r.left,r.right,r._count)),e[c-1].key=r.key,e[c-1].value=r.value;for(l=e.length-2;l>=c;--l)r=e[l],e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count);e[c-1].left=e[c]}if(0===(r=e[e.length-1])._color){var f=e[e.length-2];f.left===r?f.left=null:f.right===r&&(f.right=null),e.pop();for(l=0;l=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=i(n)).right=i(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=i(n)).left=i(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=a(0,n));r.right=a(0,n);continue}n=i(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+11)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=i(n)).right=i(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=a(0,n));r.left=a(0,n);continue}var c;n=i(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+10)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),p.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error(\"Can't update empty node!\");var r=new Array(e.length),i=e[e.length-1];r[r.length-1]=new n(i._color,i.key,t,i.left,i.right,i._count);for(var a=e.length-2;a>=0;--a)(i=e[a]).left===e[a+1]?r[a]=new n(i._color,i.key,i.value,r[a+1],i.right,i._count):r[a]=new n(i._color,i.key,i.value,i.left,r[a+1],i._count);return new s(this.tree._compare,r[0])},p.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],70:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t(\"./lib/text.js\"),i=t(\"./lib/lines.js\"),a=t(\"./lib/background.js\"),o=t(\"./lib/cube.js\"),s=t(\"./lib/ticks.js\"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=u.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in 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m=l(\"labels\");l(\"labelFont\")&&(m=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(m||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var f=a,h=s,p=o,d=l;c&1<0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var m=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),f=u.cubeEdges,h=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E=m;for(A=0;A<3;++A)this.backgroundEnable[A]?E[A]=h[A]:E[A]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(A=0;A<3;++A){var L=[0,0,0];h[A]>0?L[A]=a[1][A]:L[A]=a[0][A];for(var C=0;C<2;++C){var P=(A+1+C)%3,I=(A+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(A+1+C)%3,I=(A+1+(1^C))%3;this.zeroEnable[I]&&Math.min(a[0][I],a[1][I])<=0&&Math.max(a[0][I],a[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,L,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var O=c(v,M[A].primalMinor),z=c(y,M[A].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=k/r[5*C];O[C]*=D[C]*R,z[C]*=D[C]*R}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,O,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=c(x,M[A].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[A]&&(H[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,F=1,\"auto\"===(S=[this.tickAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(A,U,V);for(C=0;C<3;++C)H[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,B,S)}if(this.labelEnable[A]){F=0,B=[0,0,0],this.labels[A].length>4&&(N(A),F=1),\"auto\"===(S=[this.labelAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(C=0;C<3;++C)H[C]+=k*U[C]*this.labelPad[C]/r[5*C];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],B,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":71,\"./lib/cube.js\":72,\"./lib/lines.js\":73,\"./lib/text.js\":75,\"./lib/ticks.js\":76}],71:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[c]=d;for(var m=-1;m<=1;m+=2)f[u]=m,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=c;c=u,u=g}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],72:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],h(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]E&&(w|=1<E&&(w|=1<c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<c[B][0]&&(B=N)}var j=m;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(A=0;A<3;++A)V[A]=H&1< HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n b - PI :\\n b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n // if ratio is set to 0.5 then it is 50%, 50%.\\n // when using a higher ratio e.g. 0.75 the result would\\n // likely be more horizontal than vertical.\\n\\n float b = positive_angle(a);\\n\\n return\\n (b < ( ratio) * HALF_PI) ? 0.0 :\\n (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n 0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n float b = positive_angle(a);\\n float div = TWO_PI / float(n);\\n float c = roundTo(b, div);\\n return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n return\\n (option > 2) ? look_round_n_directions(rawAngle + delta, option) : // option 3-n: round to n directions\\n (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n (option == 1) ? rawAngle + delta : // use free angle, and flip to align with one direction of the axis\\n (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n (option ==-1) ? 0.0 : // useful for backward compatibility, all texts remains horizontal\\n rawAngle; // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n (axis.y == 0.0) &&\\n (axis.z == 0.0);\\n\\nvoid main() {\\n //Compute world offset\\n float axisDistance = position.z;\\n vec3 dataPosition = axisDistance * axis + offset;\\n\\n float beta = angle; // i.e. user defined attributes for each tick\\n\\n float axisAngle;\\n float clipAngle;\\n float flip;\\n\\n if (enableAlign) {\\n axisAngle = (isAxisTitle) ? HALF_PI :\\n computeViewAngle(dataPosition, dataPosition + axis);\\n clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n beta += applyAlignOption(clipAngle, flip * PI);\\n }\\n\\n //Compute plane offset\\n vec2 planeCoord = position.xy * pixelScale;\\n\\n mat2 planeXform = scale * mat2(\\n cos(beta), sin(beta),\\n -sin(beta), cos(beta)\\n );\\n\\n vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n //Compute clip position\\n vec3 clipPosition = project(dataPosition);\\n\\n //Apply text offset in clip coordinates\\n clipPosition += vec3(viewOffset, 0.0);\\n\\n //Done\\n gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n gl_FragColor = color;\\n}\"]);r.text=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n vec3 realNormal = signAxis * normal;\\n\\n if(dot(realNormal, enable) > 0.0) {\\n vec3 minRange = min(bounds[0], bounds[1]);\\n vec3 maxRange = max(bounds[0], bounds[1]);\\n vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n } else {\\n gl_Position = vec4(0,0,0,0);\\n }\\n\\n colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n gl_FragColor = colorChannel.x * colors[0] +\\n colorChannel.y * colors[1] +\\n colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return i(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":132,glslify:231}],75:[function(t,e,r){(function(r){(function(){\"use strict\";e.exports=function(t,e,r,a,s,l){var u=n(t),f=i(t,[{buffer:u,size:3}]),h=o(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,a,s,l),p};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,f=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=u.positions,p=u.cells,d=0,m=p.length;d=0;--v){var y=h[g[v]];o.push(f*y[0],-f*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(o.length/3|0)-f[d],c[d]=o.length/3|0;for(var m=0;m=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),i){for(var f=\"\"+c;f.length=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;nr)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:259,\"ndarray-ops\":254,\"typedarray-pool\":308}],79:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,h=-1/0,p=null,d=null,m=[],g=1/0,v=!1,y=0;yo&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),v=!1):v=!0}v||(p=x,d=b),m.push(b)}var w=[s,c,f],T=[l,u,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A;y=0;for(var M=0;y=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,m=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],m=+t.vertexIntensityBounds[1];else for(var g=0;g0){var m=this.triShader;m.bind(),m.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=m(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var f=i(t),p=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,u,s,l,f,p,y,g,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],81:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n // Return up-vector for only-z vector.\\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\\n // Assign z = 0, x = -b, y = a:\\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n return normalize(vec3(-v.y, v.x, 0.0));\\n } else {\\n return normalize(vec3(0.0, v.z, -v.y));\\n }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n// segment + 0 top vertex\\n// segment + 1 perimeter vertex a+1\\n// segment + 2 perimeter vertex a\\n// segment + 3 center base vertex\\n// segment + 4 perimeter vertex a\\n// segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n const float segmentCount = 8.0;\\n\\n float index = rawIndex - floor(rawIndex /\\n (segmentCount * 6.0)) *\\n (segmentCount * 6.0);\\n\\n float segment = floor(0.001 + index/6.0);\\n float segmentIndex = index - (segment*6.0);\\n\\n normal = -normalize(d);\\n\\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n return mix(vec3(0.0), -d, coneOffset);\\n }\\n\\n float nextAngle = (\\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\\n (segmentIndex > 4.99 && segmentIndex < 5.01)\\n ) ? 1.0 : 0.0;\\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n vec3 v2 = v1 - d;\\n\\n vec3 u = getOrthogonalVector(d);\\n vec3 v = normalize(cross(u, d));\\n\\n vec3 x = u * cos(angle) * length(d)*0.25;\\n vec3 y = v * sin(angle) * length(d)*0.25;\\n vec3 v3 = v2 + x + y;\\n if (segmentIndex < 3.0) {\\n vec3 tx = u * sin(angle);\\n vec3 ty = v * -cos(angle);\\n vec3 tangent = tx + ty;\\n normal = normalize(cross(v3 - v1, tangent));\\n }\\n\\n if (segmentIndex == 0.0) {\\n return mix(d, vec3(0.0), coneOffset);\\n }\\n return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n // Scale the vector magnitude to stay constant with\\n // model & view changes.\\n vec3 normal;\\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n //Lighting geometry parameters\\n vec4 cameraCoordinate = view * conePosition;\\n cameraCoordinate.xyz /= cameraCoordinate.w;\\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n // vec4 m_position = model * vec4(conePosition, 1.0);\\n vec4 t_position = view * conePosition;\\n gl_Position = projection * t_position;\\n\\n f_color = color;\\n f_data = conePosition.xyz;\\n f_position = position.xyz;\\n f_uv = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n float NdotH = max(x, 0.0001);\\n float cos2Alpha = NdotH * NdotH;\\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n float roughness2 = roughness * roughness;\\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n vec3 lightDirection,\\n vec3 viewDirection,\\n vec3 surfaceNormal,\\n float roughness,\\n float fresnel) {\\n\\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n //Half angle vector\\n vec3 H = normalize(lightDirection + viewDirection);\\n\\n //Geometric term\\n float NdotH = max(dot(surfaceNormal, H), 0.0);\\n float VdotH = max(dot(viewDirection, H), 0.000001);\\n float LdotH = max(dot(lightDirection, H), 0.000001);\\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n float G = min(1.0, min(G1, G2));\\n \\n //Distribution term\\n float D = beckmannDistribution(NdotH, roughness);\\n\\n //Fresnel term\\n float F = pow(1.0 - VdotN, fresnel);\\n\\n //Multiply terms and done\\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n vec3 N = normalize(f_normal);\\n vec3 L = normalize(f_lightDirection);\\n vec3 V = normalize(f_eyeDirection);\\n\\n if(gl_FrontFacing) {\\n N = -N;\\n }\\n\\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\\n\\n gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n // Return up-vector for only-z vector.\\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\\n // Assign z = 0, x = -b, y = a:\\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n return normalize(vec3(-v.y, v.x, 0.0));\\n } else {\\n return normalize(vec3(0.0, v.z, -v.y));\\n }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n// segment + 0 top vertex\\n// segment + 1 perimeter vertex a+1\\n// segment + 2 perimeter vertex a\\n// segment + 3 center base vertex\\n// segment + 4 perimeter vertex a\\n// segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n const float segmentCount = 8.0;\\n\\n float index = rawIndex - floor(rawIndex /\\n (segmentCount * 6.0)) *\\n (segmentCount * 6.0);\\n\\n float segment = floor(0.001 + index/6.0);\\n float segmentIndex = index - (segment*6.0);\\n\\n normal = -normalize(d);\\n\\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n return mix(vec3(0.0), -d, coneOffset);\\n }\\n\\n float nextAngle = (\\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\\n (segmentIndex > 4.99 && segmentIndex < 5.01)\\n ) ? 1.0 : 0.0;\\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n vec3 v2 = v1 - d;\\n\\n vec3 u = getOrthogonalVector(d);\\n vec3 v = normalize(cross(u, d));\\n\\n vec3 x = u * cos(angle) * length(d)*0.25;\\n vec3 y = v * sin(angle) * length(d)*0.25;\\n vec3 v3 = v2 + x + y;\\n if (segmentIndex < 3.0) {\\n vec3 tx = u * sin(angle);\\n vec3 ty = v * -cos(angle);\\n vec3 tangent = tx + ty;\\n normal = normalize(cross(v3 - v1, tangent));\\n }\\n\\n if (segmentIndex == 0.0) {\\n return mix(d, vec3(0.0), coneOffset);\\n }\\n return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n vec3 normal;\\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n gl_Position = projection * view * conePosition;\\n f_id = id;\\n f_position = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:231}],82:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORM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n=t(\"./1.0/numbers\");e.exports=function(t){return n[t]}},{\"./1.0/numbers\":82}],84:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var c=new s(e,r,o,l);return c.update(t),c};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders/index\"),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function c(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*u,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=u[n],a=0;a0)(m=u.slice())[s]+=p[1][s],i.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,m[0],m[1],m[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,m),o+=2+f(i,m,d,s)}}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{\"./shaders/index\":85,\"gl-buffer\":78,\"gl-vao\":150}],85:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, offset;\\nattribute vec4 color;\\nuniform mat4 model, view, projection;\\nuniform float capSize;\\nvarying vec4 fragColor;\\nvarying vec3 fragPosition;\\n\\nvoid main() {\\n vec4 worldPosition = model * vec4(position, 1.0);\\n worldPosition = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n gl_Position = projection * view * worldPosition;\\n fragColor = color;\\n fragPosition = position;\\n}\"]),o=n([\"precision highp float;\\n#define GLSLIFY 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n=t(\"gl-texture2d\");e.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension(\"WEBGL_draw_buffers\");!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;au||r<0||r>u)throw new Error(\"gl-fbo: Parameters are too large for FBO\");var f=1;if(\"color\"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(f>1){if(!c)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(f>t.getParameter(c.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+f+\" draw buffers\")}}var h=t.UNSIGNED_BYTE,p=t.getExtension(\"OES_texture_float\");if(n.float&&f>0){if(!p)throw new Error(\"gl-fbo: Context does not support floating point textures\");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var m=!0;\"depth\"in n&&(m=!!n.depth);var g=!1;\"stencil\"in n&&(g=!!n.stencil);return new d(t,e,r,h,f,m,g,c)};var i,a,o,s,l=null;function c(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error(\"gl-fbo: Framebuffer unsupported\");case a:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):m&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;vi||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,f,p,d=t.colorLevels||[0],m=t.colorValues||[0,0,0,1],g=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],f=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,f=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(f-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float dashScale;\\nuniform float opacity;\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n if (\\n outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n fragColor.a * opacity == 0.\\n ) discard;\\n\\n float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n if(dashWeight < 0.5) {\\n discard;\\n }\\n gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX 1.70141184e38\\n#define FLOAT_MIN 1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n float av = abs(v);\\n\\n //Handle special cases\\n if(av < FLOAT_MIN) {\\n return vec4(0.0, 0.0, 0.0, 0.0);\\n } else if(v > FLOAT_MAX) {\\n return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n } else if(v < -FLOAT_MAX) {\\n return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n }\\n\\n vec4 c = vec4(0,0,0,0);\\n\\n //Compute exponent and mantissa\\n float e = floor(log2(av));\\n float m = av * pow(2.0, -e) - 1.0;\\n\\n //Unpack mantissa\\n c[1] = floor(128.0 * m);\\n m -= c[1] / 128.0;\\n c[2] = floor(32768.0 * m);\\n m -= c[2] / 32768.0;\\n c[3] = floor(8388608.0 * m);\\n\\n //Unpack exponent\\n float ebias = e + 127.0;\\n c[0] = floor(ebias / 2.0);\\n ebias -= c[0] * 2.0;\\n c[1] += floor(ebias) * 128.0;\\n\\n //Unpack sign bit\\n c[0] += 128.0 * step(0.0, -v);\\n\\n //Scale back to range\\n return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{\"gl-shader\":132,glslify:231}],91:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var m=new v(e,r,o,s,l,d);return m.update(t),m};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),f=u.createShader,h=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function m(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:m(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:m(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],m=t.lineWidth||1,g=!1;t:for(e=1;e0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),x=Array.isArray(m)?m.length>e-1?m[e-1]:m.length>0?m[m.length-1]:[0,0,0,1]:m;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3]);u+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,v[0],v[1],v[2],v[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=u,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e1.0001)return null;v+=g[f]}if(Math.abs(v-1)>.001)return null;return[h,s(t,g),g]}},{barycentric:14,\"polytope-closest-point/lib/closest_point_2d.js\":270}],111:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n , view\\n , projection\\n , inverseModel;\\nuniform vec3 eyePosition\\n , lightPosition;\\n\\nvarying vec3 f_normal\\n , f_lightDirection\\n , f_eyeDirection\\n , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n gl_Position = project(position);\\n\\n //Lighting geometry parameters\\n vec4 cameraCoordinate = view * vec4(position , 1.0);\\n cameraCoordinate.xyz /= cameraCoordinate.w;\\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n f_color = color;\\n f_data = position;\\n f_uv = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n float NdotH = max(x, 0.0001);\\n float cos2Alpha = NdotH * NdotH;\\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n float roughness2 = roughness * roughness;\\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n vec3 lightDirection,\\n vec3 viewDirection,\\n vec3 surfaceNormal,\\n float roughness,\\n float fresnel) {\\n\\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n //Half angle vector\\n vec3 H = normalize(lightDirection + viewDirection);\\n\\n //Geometric term\\n float NdotH = max(dot(surfaceNormal, H), 0.0);\\n float VdotH = max(dot(viewDirection, H), 0.000001);\\n float LdotH = max(dot(lightDirection, H), 0.000001);\\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n float G = min(1.0, min(G1, G2));\\n \\n //Distribution term\\n float D = beckmannDistribution(NdotH, roughness);\\n\\n //Fresnel term\\n float F = pow(1.0 - VdotN, fresnel);\\n\\n //Multiply terms and done\\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n , fresnel\\n , kambient\\n , kdiffuse\\n , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n , f_lightDirection\\n , f_eyeDirection\\n , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (f_color.a == 0.0 ||\\n outOfRange(clipBounds[0], clipBounds[1], f_data)\\n ) discard;\\n\\n vec3 N = normalize(f_normal);\\n vec3 L = normalize(f_lightDirection);\\n vec3 V = normalize(f_eyeDirection);\\n\\n if(gl_FrontFacing) {\\n N = -N;\\n }\\n\\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\\n\\n gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n f_color = color;\\n f_data = position;\\n f_uv = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n } else {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n }\\n gl_PointSize = pointSize;\\n f_color = color;\\n f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n if(dot(pointR, pointR) > 0.25) {\\n discard;\\n }\\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n f_id = id;\\n f_position = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute float pointSize;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n } else {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n gl_PointSize = pointSize;\\n }\\n f_id = id;\\n f_position = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:231}],112:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),f=t(\"colormap\"),h=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),m=t(\"./lib/closest-point\"),g=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=v,this.edgeIds=m,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;ai[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*m[t+2],ki[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),m.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),m.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],f=a[o],m=a[o+2]-f,g=i[o],v=i[o+2]-g;p[o]=2*l/u*m/v,h[o]=2*(s-c)/u*m/v}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),m.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e=0){var m=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(m,e[1],m,e[3],p[d],h[d]):o.drawLine(e[0],m,e[2],m,p[d],h[d])}}for(d=0;d=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;rMath.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),i=t(\"3d-view\"),a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":7,\"has-passive-events\":232,\"mouse-change\":247,\"mouse-event-offset\":248,\"mouse-wheel\":250,\"right-now\":278}],120:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n uv = position;\\n gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":132,glslify:231}],121:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),i=t(\"gl-axes3d\"),a=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),f=t(\"gl-mat4/perspective\"),h=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function m(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new m,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],I=!0,O=!0,z=new Array(16),D=new Array(16),R={view:null,projection:z,model:D,_ortho:!1},F=(O=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:A,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,O=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*N.pixelRatio),a=0|Math.ceil(n*N.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n0&&0===C[e-1];)C.pop(),P.pop().dispose()}function H(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,O=!0)},N.add=function(t){N._stopped||(t.axes=A,E.push(t),L.push(-1),I=!0,O=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),I=!0,O=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",H),N.mouseListener.enabled=!1,!N.contextLost)){A.dispose(),S.dispose();for(var t=0;tx.distance)continue;for(var c=0;c 1.0) {\\n discard;\\n }\\n baseColor = mix(borderColor, color, step(radius, centerFraction));\\n gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n vec3 hgPosition = matrix * vec3(position, 1);\\n gl_Position = vec4(hgPosition.xy, 0, hgPosition.z);\\n gl_PointSize = pointSize;\\n\\n vec4 id = pickId + pickOffset;\\n id.y += floor(id.x / 256.0);\\n id.x -= floor(id.x / 256.0) * 256.0;\\n\\n id.z += floor(id.y / 256.0);\\n id.y -= floor(id.y / 256.0) * 256.0;\\n\\n id.w += floor(id.z / 256.0);\\n id.z -= floor(id.z / 256.0) * 256.0;\\n\\n fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n if(radius > 1.0) {\\n discard;\\n }\\n gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:231}],123:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),f=new s(t,a,l,c,u);return f.update(e),t.addObject(f),f};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e>>1;for(r=0;r=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":122,\"gl-buffer\":78,\"gl-shader\":132,\"typedarray-pool\":308}],124:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],p=r[0],d=r[1],m=r[2],g=r[3];(a=c*p+u*d+f*m+h*g)<0&&(a=-a,p=-p,d=-d,m=-m,g=-g);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*f+l*m,t[3]=s*h+l*g,t}},{}],125:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],126:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0,0,0,0);\\n } else {\\n float scale = 1.0;\\n if(distance(highlightId, id) < 0.0001) {\\n scale = highlightScale;\\n }\\n\\n vec4 worldPosition = model * vec4(position, 1);\\n vec4 viewPosition = view * worldPosition;\\n viewPosition = viewPosition / viewPosition.w;\\n vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n gl_Position = clipPosition;\\n interpColor = color;\\n pickId = id;\\n dataCoordinate = position;\\n }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0,0,0,0);\\n } else {\\n float scale = pixelRatio;\\n if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n scale *= highlightScale;\\n }\\n\\n vec4 worldPosition = model * vec4(position, 1.0);\\n vec4 viewPosition = view * worldPosition;\\n vec4 clipPosition = projection * viewPosition;\\n clipPosition /= clipPosition.w;\\n\\n gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n interpColor = color;\\n pickId = id;\\n dataCoordinate = position;\\n }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0,0,0,0);\\n } else {\\n float lscale = pixelRatio * scale;\\n if(distance(highlightId, id) < 0.0001) {\\n lscale *= highlightScale;\\n }\\n\\n vec4 clipCenter = projection * view * model * vec4(position, 1);\\n vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n gl_Position = clipPosition;\\n interpColor = color;\\n pickId = id;\\n dataCoordinate = dataPosition;\\n }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (\\n outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n interpColor.a * opacity == 0.\\n ) discard;\\n gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},m={vertex:o,fragment:c,attributes:u},g={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return v(t,f)},r.createOrtho=function(t){return v(t,h)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,m)},r.createPickProject=function(t){return v(t,g)}},{\"gl-shader\":132,glslify:231}],128:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function m(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,c,u,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),m=a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new g(e,r,n,o,f,h,p,d,m,s,c,u);return v.update(t),v};var v=g.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||f,u=r.view||f,h=r.projection||f,d=e.axesBounds,m=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=m,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var v=T,L=0;L<16;++L)v[L]=0;for(L=0;L<4;++L)v[5*L]=1;v[5*g]=0,i[g]<0?v[12+g]=d[0][g]:v[12+g]=d[1][g],s(v,c,v),l.model=v;var C=(g+1)%3,P=(g+2)%3,I=M(x),O=M(b);I[C]=1,O[P]=1;var z=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,O));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=I,I=O,O=R;var F=C;C=P,P=F}z[0]<0&&(I[C]=-1),D[1]>0&&(O[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);I[C]/=Math.sqrt(B),O[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=O,l.fragClipBounds[0]=E(k,m[0],g,-1e8),l.fragClipBounds[1]=E(k,m[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&L(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,i){var a;a=Array.isArray(t)?e=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=m(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=m(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n0){var O=0,z=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n0?1-M[0][0]:Y<0?1+M[1][0]:1,W*=W>0?1-M[0][1]:W<0?1+M[1][1]:1],Z=k.cells||[],J=k.positions||[];for(T=0;T0){var v=r*u;o.drawBox(f-v,h-v,p+v,h+v,a),o.drawBox(f-v,d-v,p+v,d+v,a),o.drawBox(f-v,h-v,f+v,d+v,a),o.drawBox(p-v,h-v,p+v,d+v,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":129,\"gl-buffer\":78,\"gl-shader\":132}],131:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],a=e[1],o=n(t,r,a,{}),s=i.mallocUint8(r*a*4);return new l(t,o,s)};var n=t(\"gl-fbo\"),i=t(\"typedarray-pool\"),a=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function 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c=u(n);Object.defineProperty(t,e,{get:a(c),set:l(n),enumerable:!0,configurable:!1})}else s[n]?Object.defineProperty(t,e,{get:(f=n,function(t,e,r){return t.getUniform(e.program,r[f])}),set:l(n),enumerable:!0,configurable:!1}):t[e]=function(t){switch(t){case\"bool\":return!1;case\"int\":case\"sampler2D\":case\"samplerCube\":case\"float\":return 0;default:var e=t.indexOf(\"vec\");if(0<=e&&e<=1&&t.length===4+e){if((r=t.charCodeAt(t.length-1)-48)<2||r>4)throw new i(\"\",\"Invalid data type\");return\"b\"===t.charAt(0)?o(r,!1):o(r,0)}if(0===t.indexOf(\"mat\")&&4===t.length){var r;if((r=t.charCodeAt(t.length-1)-48)<2||r>4)throw new i(\"\",\"Invalid uniform dimension type for matrix \"+name+\": \"+t);return o(r*r,0)}throw new i(\"\",\"Unknown uniform data type for \"+name+\": \"+t)}}(r[n].type);var f}function u(t){var e;if(Array.isArray(t)){e=new Array(t.length);for(var r=0;r1){s[0]in a||(a[s[0]]=[]),a=a[s[0]];for(var l=1;l1)for(var l=0;l 0 U ||b|| > 0.\\n // Assign z = 0, x = -b, y = a:\\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n return normalize(vec3(-v.y, v.x, 0.0));\\n } else {\\n return normalize(vec3(0.0, v.z, -v.y));\\n }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n float segmentCount = 8.0;\\n\\n float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n vec3 u = getOrthogonalVector(d);\\n vec3 v = normalize(cross(u, d));\\n\\n vec3 x = u * cos(angle) * length(d);\\n vec3 y = v * sin(angle) * length(d);\\n vec3 v3 = x + y;\\n\\n normal = normalize(v3);\\n\\n return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n // Scale the vector magnitude to stay constant with\\n // model & view changes.\\n vec3 normal;\\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n //Lighting geometry parameters\\n vec4 cameraCoordinate = view * tubePosition;\\n cameraCoordinate.xyz /= cameraCoordinate.w;\\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n // vec4 m_position = model * vec4(tubePosition, 1.0);\\n vec4 t_position = view * tubePosition;\\n gl_Position = projection * t_position;\\n\\n f_color = color;\\n f_data = tubePosition.xyz;\\n f_position = position.xyz;\\n f_uv = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n float NdotH = max(x, 0.0001);\\n float cos2Alpha = NdotH * NdotH;\\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n float roughness2 = roughness * roughness;\\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n vec3 lightDirection,\\n vec3 viewDirection,\\n vec3 surfaceNormal,\\n float roughness,\\n float fresnel) {\\n\\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n //Half angle vector\\n vec3 H = normalize(lightDirection + viewDirection);\\n\\n //Geometric term\\n float NdotH = max(dot(surfaceNormal, H), 0.0);\\n float VdotH = max(dot(viewDirection, H), 0.000001);\\n float LdotH = max(dot(lightDirection, H), 0.000001);\\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n float G = min(1.0, min(G1, G2));\\n \\n //Distribution term\\n float D = beckmannDistribution(NdotH, roughness);\\n\\n //Fresnel term\\n float F = pow(1.0 - VdotN, fresnel);\\n\\n //Multiply terms and done\\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n vec3 N = normalize(f_normal);\\n vec3 L = normalize(f_lightDirection);\\n vec3 V = normalize(f_eyeDirection);\\n\\n if(gl_FrontFacing) {\\n N = -N;\\n }\\n\\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\\n\\n gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n // Return up-vector for only-z vector.\\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\\n // Assign z = 0, x = -b, y = a:\\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n return normalize(vec3(-v.y, v.x, 0.0));\\n } else {\\n return normalize(vec3(0.0, v.z, -v.y));\\n }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n float segmentCount = 8.0;\\n\\n float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n vec3 u = getOrthogonalVector(d);\\n vec3 v = normalize(cross(u, d));\\n\\n vec3 x = u * cos(angle) * length(d);\\n vec3 y = v * sin(angle) * length(d);\\n vec3 v3 = x + y;\\n\\n normal = normalize(v3);\\n\\n return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n vec3 normal;\\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n gl_Position = projection * view * tubePosition;\\n f_id = id;\\n f_position = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:231}],143:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),i=t(\"gl-vec4\"),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,a){for(var o=0,s=0;s0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(y,v,v,v,y,y),d.push(m,g,g,g,m,m);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=y;y=v,v=S;var E=m;m=g,g=E}return{positions:c,cells:u,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;se)return r-1}return r},l=function(t,e,r){return tr?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;nf-1||y>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][v],E=a[1][m],L=a[1][y],C=a[2][g],P=(o-M)/(S-M),I=(c-E)/(L-E),O=(u-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(O)||(O=.5),r.reversedX&&(d=f-1-d,v=f-1-v),r.reversedY&&(m=h-1-m,y=h-1-y),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=m*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=g,A=x,b=d*p,_=v*p,w=m*p*f,T=y*p*f;break;case 3:w=m,T=y,k=g*h,A=x*h,b=d*h*p,_=v*h*p;break;case 2:w=m,T=y,b=d*h,_=v*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=v,k=g*f,A=x*f,w=m*f*p,T=y*f*p;break;default:b=d,_=v,w=m*f,T=y*f,k=g*f*h,A=x*f*h}var z=i[b+w+k],D=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(H,D,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,q,I),n.lerp(W,H,G,I);var X=n.create();return n.lerp(X,Y,W,O),X}(e,t,p)},m=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(eb||r_||nw)},k=10*n.distance(e[0],e[1])/i,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,l=0;lS&&(S=F),D.push(F),g.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*i&&P.lengthA&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),O=d(N),n.squaredDistance(z,N)-A>-1e-4*A){P.push(N),z=N,I.push(O);R=m(N,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var U=o(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var u=t(\"./lib/shaders\"),f=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return f(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":142,\"gl-cone3d\":79,\"gl-vec3\":169,\"gl-vec4\":205}],144:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n vec3 localCoordinate = vec3(uv.zw, f.x);\\n worldCoordinate = objectOffset + localCoordinate;\\n vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n vec4 clipPosition = projection * view * worldPosition;\\n gl_Position = clipPosition;\\n kill = f.y;\\n value = f.z;\\n planeCoordinate = uv.xy;\\n\\n vColor = texture2D(colormap, vec2(value, value));\\n\\n //Lighting geometry parameters\\n vec4 cameraCoordinate = view * worldPosition;\\n cameraCoordinate.xyz /= cameraCoordinate.w;\\n lightDirection = lightPosition - cameraCoordinate.xyz;\\n eyeDirection = eyePosition - cameraCoordinate.xyz;\\n surfaceNormal = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n float NdotH = max(x, 0.0001);\\n float cos2Alpha = NdotH * NdotH;\\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n float roughness2 = roughness * roughness;\\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n vec3 lightDirection,\\n vec3 viewDirection,\\n vec3 surfaceNormal,\\n float roughness) {\\n return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n if (\\n kill > 0.0 ||\\n vColor.a == 0.0 ||\\n outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n ) discard;\\n\\n vec3 N = normalize(surfaceNormal);\\n vec3 V = normalize(eyeDirection);\\n vec3 L = normalize(lightDirection);\\n\\n if(gl_FrontFacing) {\\n N = -N;\\n }\\n\\n float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n //decide how to interpolate color \\u2014 in vertex or in fragment\\n vec4 surfaceColor =\\n step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n step(.5, vertexColor) * vColor;\\n\\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\\n\\n gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n worldCoordinate = objectOffset + dataCoordinate;\\n vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n vec4 clipPosition = projection * view * worldPosition;\\n clipPosition.z += zOffset;\\n\\n gl_Position = clipPosition;\\n value = f + objectOffset.z;\\n kill = -1.0;\\n planeCoordinate = uv.zw;\\n\\n vColor = texture2D(colormap, vec2(value, value));\\n\\n //Don't do lighting for contours\\n surfaceNormal = vec3(1,0,0);\\n eyeDirection = vec3(0,1,0);\\n lightDirection = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n float vh = 255.0 * v;\\n float upper = floor(vh);\\n float lower = fract(vh);\\n return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n if ((kill > 0.0) ||\\n (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":132,glslify:231}],145:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),m=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);m.minFilter=e.LINEAR,m.magFilter=e.LINEAR;var g=new M(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,m,s,l,f,h,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",g.update(v),g};var n=t(\"bit-twiddle\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),f=t(\"ndarray\"),h=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),m=t(\"binary-search-bounds\"),g=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function A(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function M(t,e,r,n,i,a,o,l,c,u,h,p,d,m,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=m,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=M.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],L={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function C(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=L.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=L.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return L.showSurface=o,L.showContour=s,L}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),O=[1,0,0,0,1,0,0,0,1];function z(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=O,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=C(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var f=u?a:1-a,h=0;h<2;++h)for(var p=i+u,d=s+h,g=f*(h?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*g;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=m.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==a[v])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var m=[0,0];m[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],m,0)}this._field[0].set(0,0,0);for(var v=0;v0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;oi||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function m(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function g(t){var e=t.createTexture();return 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t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},d.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l){this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l)}else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,c,u){var h=u.dtype,p=u.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var d=0,g=0,v=m(p,u.stride.slice());\"float32\"===h?d=t.FLOAT:\"float64\"===h?(d=t.FLOAT,v=!1,h=\"float32\"):\"uint8\"===h?d=t.UNSIGNED_BYTE:(d=t.UNSIGNED_BYTE,v=!1,h=\"uint8\");if(2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],u=n(u.data,p,[u.stride[0],u.stride[1],1],u.offset);else{if(3!==p.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===p[2])g=t.ALPHA;else if(2===p[2])g=t.LUMINANCE_ALPHA;else if(3===p[2])g=t.RGB;else{if(4!==p[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}p[2]}g!==t.LUMINANCE&&g!==t.ALPHA||s!==t.LUMINANCE&&s!==t.ALPHA||(g=s);if(g!==s)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var y=u.size,x=c.indexOf(o)<0;x&&c.push(o);if(d===l&&v)0===u.offset&&u.data.length===y?x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,u.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,u.data):x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,u.data.subarray(u.offset,u.offset+y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,u.data.subarray(u.offset,u.offset+y));else{var b;b=l===t.FLOAT?a.mallocFloat32(y):a.mallocUint8(y);var _=n(b,p,[p[2],p[2]*p[0],1]);d===t.FLOAT&&l===t.UNSIGNED_BYTE?f(_,u):i.assign(_,u),x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,b.subarray(0,y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,b.subarray(0,y)),l===t.FLOAT?a.freeFloat32(b):a.freeUint8(b)}}(s,e,r,o,this.format,this.type,this._mipLevels,t)}}},{ndarray:259,\"ndarray-ops\":254,\"typedarray-pool\":308}],147:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){e?e.bind():t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null);var n=0|t.getParameter(t.MAX_VERTEX_ATTRIBS);if(r){if(r.length>n)throw new 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z=c(L,C,P,I);z>1e-6?(L/=z,C/=z,P/=z,I/=z):(L=C=P=0,I=1),this.rotation.set(t,L,C,P,I)},h.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var a=this.computedMatrix;i(a,e,r,n);var o=this.computedRotation;s(o,a[0],a[1],a[2],a[4],a[5],a[6],a[8],a[9],a[10]),u(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var l=0,c=0;c<3;++c)l+=Math.pow(r[c]-e[c],2);this.radius.set(t,.5*Math.log(Math.max(l,1e-6))),this.center.set(t,r[0],r[1],r[2])},h.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},h.setMatrix=function(t,e){var r=this.computedRotation;s(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),u(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;o(n,e);var i=n[15];if(Math.abs(i)>1e-6){var a=n[12]/i,l=n[13]/i,c=n[14]/i;this.recalcMatrix(t);var f=Math.exp(this.computedRadius[0]);this.center.set(t,a-n[2]*f,l-n[6]*f,c-n[10]*f),this.radius.idle(t)}else 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i=t[0]-n[0],a=e[0]-n[0],o=r[0]-n[0],s=t[1]-n[1],l=e[1]-n[1],c=r[1]-n[1],u=t[2]-n[2],f=e[2]-n[2],p=r[2]-n[2],d=a*c,g=o*l,m=o*s,v=i*c,y=i*l,x=a*s,b=u*(d-g)+f*(m-v)+p*(y-x),_=7771561172376103e-31*((Math.abs(d)+Math.abs(g))*Math.abs(u)+(Math.abs(m)+Math.abs(v))*Math.abs(f)+(Math.abs(y)+Math.abs(x))*Math.abs(p));return b>_||-b>_?b:h(t,e,r,n)}];function d(t){var e=p[t.length];return e||(e=p[t.length]=u(t.length)),e.apply(void 0,t)}function g(t,e,r,n,i,a,o){return function(e,r,s,l,c){switch(arguments.length){case 0:case 1:return 0;case 2:return n(e,r);case 3:return i(e,r,s);case 4:return a(e,r,s,l);case 5:return o(e,r,s,l,c)}for(var u=new Array(arguments.length),f=0;f0&&o>0||a<0&&o<0)return!1;var s=n(r,t,e),l=n(i,t,e);if(s>0&&l>0||s<0&&l<0)return!1;if(0===a&&0===o&&0===s&&0===l)return function(t,e,r,n){for(var i=0;i<2;++i){var a=t[i],o=e[i],s=Math.min(a,o),l=Math.max(a,o),c=r[i],u=n[i],f=Math.min(c,u);if(Math.max(c,u)=n?(i=f,(l+=1)=n?(i=f,(l+=1)>1,c=e[2*l+1];if(c===a)return 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n=t(\"robust-orientation\"),i=t(\"simplicial-complex\")},{\"robust-orientation\":284,\"simplicial-complex\":295}],298:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r,a,o,s;if(e[0][0]e[1][0]))return i(e,t);r=e[1],a=e[0]}if(t[0][0]t[1][0]))return-i(t,e);o=t[1],s=t[0]}var l=n(r,a,s),c=n(r,a,o);if(l<0){if(c<=0)return l}else if(l>0){if(c>=0)return l}else if(c)return c;if(l=n(s,o,a),c=n(s,o,r),l<0){if(c<=0)return l}else if(l>0){if(c>=0)return l}else if(c)return c;return a[0]-s[0]};var n=t(\"robust-orientation\");function i(t,e){var r,i,a,o;if(e[0][0]e[1][0])){var s=Math.min(t[0][1],t[1][1]),l=Math.max(t[0][1],t[1][1]),c=Math.min(e[0][1],e[1][1]),u=Math.max(e[0][1],e[1][1]);return lu?s-u:l-u}r=e[1],i=e[0]}t[0][1]0)if(e[0]!==o[1][0])r=t,t=t.right;else{if(l=c(t.right,e))return l;t=t.left}else{if(e[0]!==o[1][0])return t;var l;if(l=c(t.right,e))return l;t=t.left}}return r}function u(t,e,r,n){this.y=t,this.index=e,this.start=r,this.closed=n}function f(t,e,r,n){this.x=t,this.segment=e,this.create=r,this.index=n}s.prototype.castUp=function(t){var e=n.le(this.coordinates,t[0]);if(e<0)return-1;this.slabs[e];var r=c(this.slabs[e],t),i=-1;if(r&&(i=r.value),this.coordinates[e]===t[0]){var s=null;if(r&&(s=r.key),e>0){var u=c(this.slabs[e-1],t);u&&(s?o(u.key,s)>0&&(s=u.key,i=u.value):(i=u.value,s=u.key))}var f=this.horizontal[e];if(f.length>0){var h=n.ge(f,t[1],l);if(h=f.length)return i;p=f[h]}}if(p.start)if(s){var d=a(s[0],s[1],[t[0],p.y]);s[0][0]>s[1][0]&&(d=-d),d>0&&(i=p.index)}else i=p.index;else p.y!==t[1]&&(i=p.index)}}}return i}},{\"./lib/order-segments\":298,\"binary-search-bounds\":31,\"functional-red-black-tree\":69,\"robust-orientation\":284}],300:[function(t,e,r){\"use strict\";var n=t(\"robust-dot-product\"),i=t(\"robust-sum\");function a(t,e){var r=i(n(t,e),[e[e.length-1]]);return r[r.length-1]}function o(t,e,r,n){var i=-e/(n-e);i<0?i=0:i>1&&(i=1);for(var a=1-i,o=t.length,s=new Array(o),l=0;l0||i>0&&u<0){var f=o(s,u,l,i);r.push(f),n.push(f.slice())}u<0?n.push(l.slice()):u>0?r.push(l.slice()):(r.push(l.slice()),n.push(l.slice())),i=u}return{positive:r,negative:n}},e.exports.positive=function(t,e){for(var r=[],n=a(t[t.length-1],e),i=t[t.length-1],s=t[0],l=0;l0||n>0&&c<0)&&r.push(o(i,c,s,n)),c>=0&&r.push(s.slice()),n=c}return r},e.exports.negative=function(t,e){for(var r=[],n=a(t[t.length-1],e),i=t[t.length-1],s=t[0],l=0;l0||n>0&&c<0)&&r.push(o(i,c,s,n)),c<=0&&r.push(s.slice()),n=c}return r}},{\"robust-dot-product\":281,\"robust-sum\":289}],301:[function(t,e,r){!function(){\"use strict\";var t={not_string:/[^s]/,not_bool:/[^t]/,not_type:/[^T]/,not_primitive:/[^v]/,number:/[diefg]/,numeric_arg:/[bcdiefguxX]/,json:/[j]/,not_json:/[^j]/,text:/^[^\\x25]+/,modulo:/^\\x25{2}/,placeholder:/^\\x25(?:([1-9]\\d*)\\$|\\(([^)]+)\\))?(\\+)?(0|'[^$])?(-)?(\\d+)?(?:\\.(\\d+))?([b-gijostTuvxX])/,key:/^([a-z_][a-z_\\d]*)/i,key_access:/^\\.([a-z_][a-z_\\d]*)/i,index_access:/^\\[(\\d+)\\]/,sign:/^[+-]/};function e(t){return i(o(t),arguments)}function n(t,r){return e.apply(null,[t].concat(r||[]))}function i(r,n){var 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p=h.prototype;p.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},p.getDistanceLimits=function(t){var e=this.radius.bounds[0];return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},p.recalcMatrix=function(t){this.center.curve(t),this.up.curve(t),this.right.curve(t),this.radius.curve(t),this.angle.curve(t);for(var e=this.computedUp,r=this.computedRight,n=0,i=0,a=0;a<3;++a)i+=e[a]*r[a],n+=e[a]*e[a];var l=Math.sqrt(n),u=0;for(a=0;a<3;++a)r[a]-=e[a]*i/n,u+=r[a]*r[a],e[a]/=l;var f=Math.sqrt(u);for(a=0;a<3;++a)r[a]/=f;var h=this.computedToward;o(h,e,r),s(h,h);var p=Math.exp(this.computedRadius[0]),d=this.computedAngle[0],g=this.computedAngle[1],m=Math.cos(d),v=Math.sin(d),y=Math.cos(g),x=Math.sin(g),b=this.computedCenter,_=m*y,w=v*y,T=x,k=-m*x,A=-v*x,M=y,S=this.computedEye,E=this.computedMatrix;for(a=0;a<3;++a){var L=_*r[a]+w*h[a]+T*e[a];E[4*a+1]=k*r[a]+A*h[a]+M*e[a],E[4*a+2]=L,E[4*a+3]=0}var C=E[1],P=E[5],I=E[9],O=E[2],z=E[6],D=E[10],R=P*D-I*z,F=I*O-C*D,B=C*z-P*O,N=c(R,F,B);R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B;for(a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){u=0;for(var j=0;j<3;++j)u+=E[a+4*j]*S[j];E[12+a]=-u}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,c=0;c<3;++c)i[4*c]=o[c],i[4*c+1]=s[c],i[4*c+2]=l[c];a(i,i,n,d);for(c=0;c<3;++c)o[c]=i[4*c],s[c]=i[4*c+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var 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p=h.prototype;p.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},p.getDistanceLimits=function(t){var e=this.radius.bounds[0];return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},p.recalcMatrix=function(t){this.center.curve(t),this.up.curve(t),this.right.curve(t),this.radius.curve(t),this.angle.curve(t);for(var e=this.computedUp,r=this.computedRight,n=0,i=0,a=0;a<3;++a)i+=e[a]*r[a],n+=e[a]*e[a];var l=Math.sqrt(n),u=0;for(a=0;a<3;++a)r[a]-=e[a]*i/n,u+=r[a]*r[a],e[a]/=l;var f=Math.sqrt(u);for(a=0;a<3;++a)r[a]/=f;var h=this.computedToward;o(h,e,r),s(h,h);var p=Math.exp(this.computedRadius[0]),d=this.computedAngle[0],m=this.computedAngle[1],g=Math.cos(d),v=Math.sin(d),y=Math.cos(m),x=Math.sin(m),b=this.computedCenter,_=g*y,w=v*y,T=x,k=-g*x,A=-v*x,M=y,S=this.computedEye,E=this.computedMatrix;for(a=0;a<3;++a){var L=_*r[a]+w*h[a]+T*e[a];E[4*a+1]=k*r[a]+A*h[a]+M*e[a],E[4*a+2]=L,E[4*a+3]=0}var C=E[1],P=E[5],I=E[9],O=E[2],z=E[6],D=E[10],R=P*D-I*z,F=I*O-C*D,B=C*z-P*O,N=c(R,F,B);R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B;for(a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){u=0;for(var j=0;j<3;++j)u+=E[a+4*j]*S[j];E[12+a]=-u}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,c=0;c<3;++c)i[4*c]=o[c],i[4*c+1]=s[c],i[4*c+2]=l[c];a(i,i,n,d);for(c=0;c<3;++c)o[c]=i[4*c],s[c]=i[4*c+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var 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TimestampNB unitary actionsImpacted subsImpacted lines
4892012-12-04 21:40:001[sub_28][]
4902012-12-04 21:45:001[sub_32][]
4912012-12-04 21:50:003[sub_33][]
4922012-12-04 21:55:003[sub_29][]
4932012-12-04 22:00:007[sub_23][]
4942012-12-04 22:05:0011[sub_16][]
4952012-12-04 22:10:002[sub_18][]
4962012-12-04 22:15:003[sub_33][]
4972012-12-04 22:20:003[sub_23][]
\n", + "" + ], + "text/plain": [ + " Timestamp NB unitary actions Impacted subs Impacted lines\n", + "489 2012-12-04 21:40:00 1 [sub_28] []\n", + "490 2012-12-04 21:45:00 1 [sub_32] []\n", + "491 2012-12-04 21:50:00 3 [sub_33] []\n", + "492 2012-12-04 21:55:00 3 [sub_29] []\n", + "493 2012-12-04 22:00:00 7 [sub_23] []\n", + "494 2012-12-04 22:05:00 11 [sub_16] []\n", + "495 2012-12-04 22:10:00 2 [sub_18] []\n", + "496 2012-12-04 22:15:00 3 [sub_33] []\n", + "497 2012-12-04 22:20:00 3 [sub_23] []" ] }, "metadata": {}, @@ -11229,134 +9915,531 @@ } ], "source": [ - "aa.plot_actions_freq_by_station(\n", - " agents_results,\n", - " yaxis_type = 'log'\n", - ")" + "min_length= 7\n", + "max_length= 15\n", + "\n", + "tutor_binbinchen.display_sequence_actions_filter(\n", + " min_length=min_length,\n", + " max_length=max_length,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Moreover we can even retrieve actions of type grid2op.BaseAction for later use" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [], + "source": [ + "timestamp = '2012-02-07 20:15:00'\n", + "\n", + "grid2op_act = tutor_binbinchen.get_action_by_timestamp(timestamp)" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "This action will:\n", + "\t - NOT change anything to the injections\n", + "\t - NOT perform any redispatching action\n", + "\t - NOT modify any storage capacity\n", + "\t - NOT perform any curtailment\n", + "\t - NOT force any line status\n", + "\t - NOT switch any line status\n", + "\t - Change the bus of the following element(s):\n", + "\t \t - Switch bus of line (extremity) id 18 [on substation 16]\n", + "\t \t - Switch bus of line (extremity) id 19 [on substation 16]\n", + "\t \t - Switch bus of line (origin) id 27 [on substation 16]\n", + "\t \t - Switch bus of line (origin) id 28 [on substation 16]\n", + "\t \t - Switch bus of line (origin) id 54 [on substation 16]\n", + "\t \t - Switch bus of generator id 5 [on substation 16]\n", + "\t \t - Switch bus of generator id 6 [on substation 16]\n", + "\t \t - Switch bus of generator id 7 [on substation 16]\n", + "\t \t - Switch bus of generator id 8 [on substation 16]\n", + "\t - NOT force any particular bus configuration\n" + ] + } + ], + "source": [ + "print(grid2op_act)" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [], + "source": [ + "grid2op_act._check_for_ambiguity()" ] }, { "cell_type": "markdown", + "metadata": {}, + "source": [ + "Similarly, we can retrieve observations of type grid2op.BaseObservation" + ] + }, + { + "cell_type": "code", + "execution_count": 51, "metadata": { "pycharm": { - "name": "#%% md\n" + "name": "#%%\n" } }, + "outputs": [], "source": [ - "# Action execution time" + "grid2op_obs = tutor_binbinchen.get_observation_by_timestamp(timestamp)" ] }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 52, "metadata": { "pycharm": { - "is_executing": true + "name": "#%%\n" } }, "outputs": [ { "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "8f4e24798da04910928d8564ac04643d", - "version_major": 2, - "version_minor": 0 - }, "text/plain": [ - "interactive(children=(Dropdown(description='Episode', options=('jan32_1', 'jan32_2', 'feb20_1', 'feb20_2', 'ma…" + "array([2.012e+03, 2.000e+00, 7.000e+00, ..., 0.000e+00, 0.000e+00,\n", + " 0.000e+00], dtype=float32)" ] }, + "execution_count": 52, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" } ], "source": [ - "w = widgets.Dropdown(\n", - " options=agents.episodes_names,\n", - " \n", - " description='Episode',\n", - " )\n", - "def f(x):\n", - " display(aa.plot_computation_times(agents_results, episodes_names=[x]))\n", - " \n", - "interact(f, x=w);" + "grid2op_obs.to_vect()" ] }, { "cell_type": "markdown", - "metadata": { - "pycharm": { - "name": "#%% md\n" + "metadata": {}, + "source": [ + "### DataFrames" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The first part of this notebook presents the visualization of developed KPIs using different examples. As described in the second chapter, the module EpisodeDataTransformer takes care of transforming the required data. The output of the functions are mostly the dataframes which are served by AgentAnalytics moduel. \n", + "\n", + "In continue some examples are presented to show that these dataframes can be either separately inspected or be used for further KPI developments. " + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], "text/plain": [ - "interactive(children=(Dropdown(description='Episode', index=6, options=('jan32_1', 'jan32_2', 'feb20_1', 'feb2…" + " Line Disconnected\n", + "0 34_35_110 5660\n", + "9 39_41_121 1101\n", + "13 43_44_125 1509\n", + "14 44_45_126 1975\n", + "18 41_48_131 975\n", + "23 48_50_136 705\n", + "27 48_53_141 900\n", + "39 54_58_154 1234\n", + "40 58_59_155 3\n", + "41 58_60_156 3\n", + "45 62_63_160 777\n", + "56 62_58_180 814" ] }, + "execution_count": 44, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" } ], "source": [ - "min_length= 0\n", - "max_length= 15\n", - "bg = \"rgba(0,0,0,0)\"\n", - "\n", - "\n", - " \n", - " \n", - "def f(x):\n", - " if not type(x)==list : eps = [x]\n", - " else : eps =x\n", - "\n", - " display(agents.plot_actions_sequence_length(\n", - " agents_results,\n", - " episodes_names=eps,\n", - " min_length=min_length,\n", - " max_length=max_length,\n", - " plot_bgcolor = bg\n", - " )\n", - " )\n", - "\n", - "interact(f, x=w);" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Let's visualize the sequence of actions as tabular data, and keep only the sequences greater than 5" + "ppo_agent.disconnected_lines_freq_several_episodes()" ] }, { "cell_type": "code", - "execution_count": 58, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, + "execution_count": 34, + "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "1it [00:00, 6.67it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Calculating actions id\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "24it [00:10, 2.34it/s]\n" + ] + }, { "data": { "text/html": [ @@ -11378,196 +10461,149 @@ " \n", " \n", " \n", - " Timestamp\n", - " Sequence start\n", - " Sequence end\n", - " Sequence length\n", - " NB actions\n", - " NB unitary actions\n", - " Impacted Subs\n", - " Impacted lines\n", + " t_step\n", + " time_stamp\n", + " action_id\n", + " susbtation\n", + " episode\n", + " nb_action\n", " \n", " \n", " \n", " \n", " 0\n", - 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" [2012-07-13 09:50:00, 2012-07-13 09:55:00, 201...\n", - " 2012-07-13 09:50:00\n", - " 2012-07-13 10:10:00\n", - " 5\n", - " 5\n", - " 23\n", - " [[sub_23], [sub_28], [sub_1], [sub_16], [sub_23]]\n", - " [[], [], [], [], []]\n", + " 68\n", + " 2012-01-19 07:40:00\n", + " act_331\n", + " sub_16\n", + " jan32_2\n", + " 1.0\n", " \n", " \n", " 4\n", - " [2012-11-05 19:05:00, 2012-11-05 19:10:00, 201...\n", - " 2012-11-05 19:05:00\n", - " 2012-11-05 19:35:00\n", - " 7\n", - " 7\n", - " 15\n", - " [[sub_28], [sub_31], [sub_7], [sub_1], [sub_28...\n", - " [[], [], [], [], [], [], []]\n", + " 84\n", + " 2012-01-19 09:00:00\n", + " act_347\n", + " sub_23\n", + " jan32_2\n", + " 1.0\n", " \n", " \n", - " 5\n", - " [2012-11-06 10:45:00, 2012-11-06 10:50:00, 201...\n", - " 2012-11-06 10:45:00\n", - " 2012-11-06 11:10:00\n", - " 6\n", - " 6\n", - " 17\n", - " [[sub_21], [sub_16], [sub_23], [sub_26], [sub_...\n", - " [[], [], [], [], [], []]\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", " \n", " \n", - 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523 rows × 6 columns

\n", "" ], "text/plain": [ - " Timestamp Sequence start \\\n", - "0 [2012-01-19 14:55:00, 2012-01-19 15:00:00, 201... 2012-01-19 14:55:00 \n", - "1 [2012-02-07 11:10:00, 2012-02-07 11:15:00, 201... 2012-02-07 11:10:00 \n", - "2 [2012-02-07 12:05:00, 2012-02-07 12:10:00, 201... 2012-02-07 12:05:00 \n", - "3 [2012-07-13 09:50:00, 2012-07-13 09:55:00, 201... 2012-07-13 09:50:00 \n", - "4 [2012-11-05 19:05:00, 2012-11-05 19:10:00, 201... 2012-11-05 19:05:00 \n", - "5 [2012-11-06 10:45:00, 2012-11-06 10:50:00, 201... 2012-11-06 10:45:00 \n", - "6 [2012-11-08 11:25:00, 2012-11-08 11:30:00, 201... 2012-11-08 11:25:00 \n", - "7 [2012-12-04 21:40:00, 2012-12-04 21:45:00, 201... 2012-12-04 21:40:00 \n", - "8 [2012-12-15 21:15:00, 2012-12-15 21:20:00, 201... 2012-12-15 21:15:00 \n", - "\n", - " Sequence end Sequence length NB actions NB unitary actions \\\n", - "0 2012-01-19 15:20:00 6 6 18 \n", - "1 2012-02-07 11:30:00 5 5 20 \n", - "2 2012-02-07 12:25:00 5 5 20 \n", - "3 2012-07-13 10:10:00 5 5 23 \n", - "4 2012-11-05 19:35:00 7 7 15 \n", - "5 2012-11-06 11:10:00 6 6 17 \n", - "6 2012-11-08 11:50:00 6 6 29 \n", - "7 2012-12-04 22:20:00 9 9 34 \n", - "8 2012-12-15 21:40:00 6 6 26 \n", - "\n", - " Impacted Subs \\\n", - "0 [[sub_16], [sub_9], [sub_28], [sub_23], [sub_1... \n", - "1 [[sub_28], [sub_23], [sub_16], [sub_21], [sub_... \n", - "2 [[sub_28], [sub_23], [sub_16], [sub_26], [sub_... \n", - "3 [[sub_23], [sub_28], [sub_1], [sub_16], [sub_23]] \n", - "4 [[sub_28], [sub_31], [sub_7], [sub_1], [sub_28... \n", - "5 [[sub_21], [sub_16], [sub_23], [sub_26], [sub_... \n", - "6 [[sub_28], [sub_16], [sub_21], [sub_23], [sub_... \n", - "7 [[sub_28], [sub_32], [sub_33], [sub_29], [sub_... \n", - "8 [[sub_16], [sub_26], [sub_23], [sub_21], [sub_... \n", + " t_step time_stamp action_id susbtation episode nb_action\n", + "0 227 2012-01-02 20:55:00 act_227 sub_16 jan32_1 1.0\n", + "1 260 2012-01-02 23:40:00 act_260 sub_28 jan32_1 1.0\n", + "2 261 2012-01-02 23:45:00 act_261 sub_16 jan32_1 1.0\n", + "3 68 2012-01-19 07:40:00 act_331 sub_16 jan32_2 1.0\n", + "4 84 2012-01-19 09:00:00 act_347 sub_23 jan32_2 1.0\n", + ".. ... ... ... ... ... ...\n", + "518 175 2012-12-15 21:35:00 act_1343 sub_16 dec16_2 1.0\n", + "519 176 2012-12-15 21:40:00 act_423 sub_26 dec16_2 1.0\n", + "520 220 2012-12-16 01:20:00 act_1343 sub_16 dec16_2 1.0\n", + "521 222 2012-12-16 01:30:00 act_6592 sub_23 dec16_2 1.0\n", + "522 323 2012-12-16 09:55:00 act_1340 sub_12 dec16_2 1.0\n", "\n", - " Impacted lines \n", - "0 [[], [], [], [], [], []] \n", - "1 [[], [], [], [], []] \n", - "2 [[], [], [], [], []] \n", - "3 [[], [], [], [], []] \n", - "4 [[], [], [], [], [], [], []] \n", - "5 [[], [], [], [], [], []] \n", - "6 [[], [], [], [], [], []] \n", - "7 [[], [], [], [], [], [], [], [], []] \n", - "8 [[], [], [], [], [], []] " + "[523 rows x 6 columns]" ] }, - "execution_count": 58, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "min_length= 5\n", - "max_length= 15\n", - "\n", - "tutor_binbinchen.display_sequence_actions(\n", - " min_length=min_length,\n", - " max_length=max_length,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can expand each row further to show detailed information about each sequence. Here we only show sequences greater than 7, you can customize this by changing the max_length and max_length parameters" + "tutor_binbinchen.get_actions_by_substation_by_id()" ] }, { "cell_type": "code", - "execution_count": 61, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, + "execution_count": 45, + "metadata": {}, "outputs": [ { "data": { @@ -11591,79 +10627,101 @@ " \n", " \n", " Timestamp\n", - " NB unitary actions\n", - " Impacted subs\n", - " Impacted lines\n", + " Execution time\n", + " \n", + " \n", + " \n", + " \n", + " 0\n", + " 2012-01-02 02:00:00\n", + " 0.000536\n", " \n", - " \n", - " \n", " \n", - " 329\n", - " 2012-11-05 19:05:00\n", - " 3\n", - " [sub_28]\n", - " []\n", + " 1\n", + " 2012-01-02 02:05:00\n", + " 0.000084\n", " \n", " \n", - " 330\n", - " 2012-11-05 19:10:00\n", - " 1\n", - " [sub_31]\n", - " []\n", + " 2\n", + " 2012-01-02 02:10:00\n", + " 0.000082\n", " \n", " \n", - " 331\n", - " 2012-11-05 19:15:00\n", - " 3\n", - " [sub_7]\n", - " []\n", + " 3\n", + " 2012-01-02 02:15:00\n", + " 0.00006\n", " \n", " \n", - " 332\n", - " 2012-11-05 19:20:00\n", - " 3\n", - " [sub_1]\n", - " []\n", + " 4\n", + " 2012-01-02 02:20:00\n", + " 0.000061\n", " \n", " \n", - " 333\n", - " 2012-11-05 19:25:00\n", - " 1\n", - " [sub_28]\n", - " []\n", + " ...\n", + " ...\n", + " ...\n", " \n", " \n", - " 334\n", - " 2012-11-05 19:30:00\n", - " 2\n", - " [sub_23]\n", - " []\n", + " 31248\n", + " 2012-12-18 00:20:00\n", + " 0.002645\n", " \n", " \n", - " 335\n", - " 2012-11-05 19:35:00\n", - " 2\n", - " [sub_16]\n", - " []\n", + " 31249\n", + " 2012-12-18 00:25:00\n", + " 0.002454\n", + " \n", + " \n", + " 31250\n", + " 2012-12-18 00:30:00\n", + " 0.002714\n", + " \n", + " \n", + " 31251\n", + " 2012-12-18 00:35:00\n", + " 0.002548\n", + " \n", + " \n", + " 31252\n", + " 2012-12-18 00:40:00\n", + " 0.002787\n", " \n", " \n", "\n", + "

31253 rows × 2 columns

\n", "" ], "text/plain": [ - " Timestamp NB unitary actions Impacted subs Impacted lines\n", - "329 2012-11-05 19:05:00 3 [sub_28] []\n", - "330 2012-11-05 19:10:00 1 [sub_31] []\n", - "331 2012-11-05 19:15:00 3 [sub_7] []\n", - "332 2012-11-05 19:20:00 3 [sub_1] []\n", - "333 2012-11-05 19:25:00 1 [sub_28] []\n", - "334 2012-11-05 19:30:00 2 [sub_23] []\n", - "335 2012-11-05 19:35:00 2 [sub_16] []" + " Timestamp Execution time\n", + "0 2012-01-02 02:00:00 0.000536\n", + "1 2012-01-02 02:05:00 0.000084\n", + "2 2012-01-02 02:10:00 0.000082\n", + "3 2012-01-02 02:15:00 0.00006\n", + "4 2012-01-02 02:20:00 0.000061\n", + "... ... ...\n", + "31248 2012-12-18 00:20:00 0.002645\n", + "31249 2012-12-18 00:25:00 0.002454\n", + "31250 2012-12-18 00:30:00 0.002714\n", + "31251 2012-12-18 00:35:00 0.002548\n", + "31252 2012-12-18 00:40:00 0.002787\n", + "\n", + "[31253 rows x 2 columns]" ] }, + "execution_count": 45, "metadata": {}, - "output_type": "display_data" - }, + "output_type": "execute_result" + } + ], + "source": [ + "ppo_agent.computation_times_several_episodes()" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [ { "data": { "text/html": [ @@ -11686,219 +10744,102 @@ " \n", " \n", " Timestamp\n", - " NB unitary actions\n", - " Impacted subs\n", - " Impacted lines\n", + " Distance\n", " \n", " \n", " \n", " \n", - " 489\n", - " 2012-12-04 21:40:00\n", - " 1\n", - " [sub_28]\n", - " []\n", + " 0\n", + " 2012-01-02 02:00:00\n", + " 0\n", " \n", " \n", - " 490\n", - " 2012-12-04 21:45:00\n", - " 1\n", - " [sub_32]\n", - " []\n", + " 1\n", + " 2012-01-02 02:05:00\n", + " 0\n", " \n", " \n", - " 491\n", - " 2012-12-04 21:50:00\n", - " 3\n", - " [sub_33]\n", - " []\n", + " 2\n", + " 2012-01-02 02:10:00\n", + " 0\n", " \n", " \n", - " 492\n", - " 2012-12-04 21:55:00\n", - " 3\n", - " [sub_29]\n", - " []\n", + " 3\n", + " 2012-01-02 02:15:00\n", + " 0\n", " \n", " \n", - " 493\n", - " 2012-12-04 22:00:00\n", - " 7\n", - " [sub_23]\n", - " []\n", + " 4\n", + " 2012-01-02 02:20:00\n", + " 0\n", " \n", " \n", - " 494\n", - " 2012-12-04 22:05:00\n", - " 11\n", - " [sub_16]\n", - " []\n", + " ...\n", + " ...\n", + " ...\n", " \n", " \n", - " 495\n", - " 2012-12-04 22:10:00\n", - " 2\n", - " [sub_18]\n", - " []\n", + " 31248\n", + " 2012-12-18 00:20:00\n", + " 0\n", " \n", " \n", - " 496\n", - " 2012-12-04 22:15:00\n", - " 3\n", - " [sub_33]\n", - " []\n", + " 31249\n", + " 2012-12-18 00:25:00\n", + " 0\n", " \n", " \n", - " 497\n", - " 2012-12-04 22:20:00\n", - " 3\n", - " [sub_23]\n", - " []\n", + " 31250\n", + " 2012-12-18 00:30:00\n", + " 0\n", + " \n", + " \n", + " 31251\n", + " 2012-12-18 00:35:00\n", + " 0\n", + " \n", + " \n", + " 31252\n", + " 2012-12-18 00:40:00\n", + " 0\n", " \n", " \n", "\n", + "

31253 rows × 2 columns

\n", "" ], "text/plain": [ - " Timestamp NB unitary actions Impacted subs Impacted lines\n", - "489 2012-12-04 21:40:00 1 [sub_28] []\n", - "490 2012-12-04 21:45:00 1 [sub_32] []\n", - "491 2012-12-04 21:50:00 3 [sub_33] []\n", - "492 2012-12-04 21:55:00 3 [sub_29] []\n", - "493 2012-12-04 22:00:00 7 [sub_23] []\n", - "494 2012-12-04 22:05:00 11 [sub_16] []\n", - "495 2012-12-04 22:10:00 2 [sub_18] []\n", - "496 2012-12-04 22:15:00 3 [sub_33] []\n", - "497 2012-12-04 22:20:00 3 [sub_23] []" + " Timestamp Distance\n", + "0 2012-01-02 02:00:00 0\n", + "1 2012-01-02 02:05:00 0\n", + "2 2012-01-02 02:10:00 0\n", + "3 2012-01-02 02:15:00 0\n", + "4 2012-01-02 02:20:00 0\n", + "... ... ...\n", + "31248 2012-12-18 00:20:00 0\n", + "31249 2012-12-18 00:25:00 0\n", + "31250 2012-12-18 00:30:00 0\n", + "31251 2012-12-18 00:35:00 0\n", + "31252 2012-12-18 00:40:00 0\n", + "\n", + "[31253 rows x 2 columns]" ] }, + "execution_count": 46, "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "min_length= 7\n", - "max_length= 15\n", - "\n", - "tutor_binbinchen.display_sequence_actions_filter(\n", - " min_length=min_length,\n", - " max_length=max_length,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Moreover we can even retrieve actions of type grid2op.BaseAction for later use" - ] - }, - { - "cell_type": "code", - "execution_count": 62, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "timestamp = '2012-02-07 20:15:00'\n", - "\n", - "grid2op_act = tutor_binbinchen.get_action_by_timestamp(timestamp)" - ] - }, - { - "cell_type": "code", - "execution_count": 63, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This action will:\n", - "\t - NOT change anything to the injections\n", - "\t - NOT perform any redispatching action\n", - "\t - NOT modify any storage capacity\n", - "\t - NOT perform any curtailment\n", - "\t - NOT force any line status\n", - "\t - NOT switch any line status\n", - "\t - Change the bus of the following element(s):\n", - "\t \t - Switch bus of line (extremity) id 18 [on substation 16]\n", - "\t \t - Switch bus of line (extremity) id 19 [on substation 16]\n", - "\t \t - Switch bus of line (origin) id 27 [on substation 16]\n", - "\t \t - Switch bus of line (origin) id 28 [on substation 16]\n", - "\t \t - Switch bus of line (origin) id 54 [on substation 16]\n", - "\t \t - Switch bus of generator id 5 [on substation 16]\n", - "\t \t - Switch bus of generator id 6 [on substation 16]\n", - "\t \t - Switch bus of generator id 7 [on substation 16]\n", - "\t \t - Switch bus of generator id 8 [on substation 16]\n", - "\t - NOT force any particular bus configuration\n" - ] + "output_type": "execute_result" } ], "source": [ - "print(grid2op_act)" + "ppo_agent.distance_from_initial_topology()" ] }, { "cell_type": "code", - "execution_count": 64, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "grid2op_act._check_for_ambiguity()" - ] - }, - { - "cell_type": "markdown", + "execution_count": null, "metadata": {}, - "source": [ - "Similarly, we can retrieve observations of type grid2op.BaseObservation" - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, "outputs": [], - "source": [ - "grid2op_obs = tutor_binbinchen.get_observation_by_timestamp(timestamp)" - ] - }, - { - "cell_type": "code", - "execution_count": 52, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "array([2.012e+03, 2.000e+00, 7.000e+00, ..., 0.000e+00, 0.000e+00,\n", - " 0.000e+00], dtype=float32)" - ] - }, - "execution_count": 52, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "grid2op_obs.to_vect()" - ] + "source": [] }, { "cell_type": "code", @@ -11928,9 +10869,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.7" + "version": "3.8.8" } }, "nbformat": 4, "nbformat_minor": 1 -} \ No newline at end of file +} From 4869d8da672b4d9be72260bc47baaf1525b44df9 Mon Sep 17 00:00:00 2001 From: seifou Date: Wed, 27 Apr 2022 10:30:05 +0200 Subject: [PATCH 2/8] commit minor changes on Getting_Started.ipynb --- getting_started/Getting_Started.ipynb | 6 +- notebooks/TestNotebook.ipynb | 197 -------------------------- 2 files changed, 3 insertions(+), 200 deletions(-) delete mode 100644 notebooks/TestNotebook.ipynb diff --git a/getting_started/Getting_Started.ipynb b/getting_started/Getting_Started.ipynb index 46bf459..ebd5ae7 100644 --- a/getting_started/Getting_Started.ipynb +++ b/getting_started/Getting_Started.ipynb @@ -35,9 +35,9 @@ "output_type": "stream", "text": [ "Enabling notebook extension qgrid/extension...\n", - " - Validating: \u001b[32mOK\u001b[0m\n", + " - Validating: \u001B[32mOK\u001B[0m\n", "Enabling notebook extension jupyter-js-widgets/extension...\n", - " - Validating: \u001b[32mOK\u001b[0m\n" + " - Validating: \u001B[32mOK\u001B[0m\n" ] } ], @@ -10387,4 +10387,4 @@ }, "nbformat": 4, "nbformat_minor": 1 -} +} \ No newline at end of file diff --git a/notebooks/TestNotebook.ipynb b/notebooks/TestNotebook.ipynb deleted file mode 100644 index 14caa2b..0000000 --- a/notebooks/TestNotebook.ipynb +++ /dev/null @@ -1,197 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 4, - "outputs": [], - "source": [ - "import warnings\n", - "\n", - "warnings.filterwarnings(\"ignore\")\n" - ], - "metadata": { - "collapsed": false, - "pycharm": { - "name": "#%%\n" - } - } - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " t_step time_stamp action_id susbtation episode\n", - "0 30 2012-12-04 09:30:00 1 16 dec16_1\n", - "1 77 2012-12-04 13:25:00 2 16 dec16_1\n", - "2 176 2012-12-04 21:40:00 3 32 dec16_1\n", - "3 178 2012-12-04 21:50:00 4 26 dec16_1\n", - "4 180 2012-12-04 22:00:00 5 32 dec16_1\n", - "53\n" - ] - } - ], - "source": [ - "from grid2bench.EpisodeDataExtractor import EpisodeDataExtractor\n", - "\n", - "# import episode data\n", - "agent_log_path = '../data/input/Expert_Agent'\n", - "episode_name = 'dec16_1'\n", - "episode_data = EpisodeDataExtractor(agent_log_path, episode_name)\n", - "\n", - "c ,df = episode_data.create_topology_df()\n", - "print(df)\n", - "print(c)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [] - }, - { - "cell_type": "code", - "execution_count": 1, - "outputs": [], - "source": [ - "import os\n", - "from configmanager.configmanager import ConfigManager\n", - "conf_path = os.path.abspath(\"../conf.ini\")\n", - "\n", - "conf = ConfigManager(benchmark_name='Tests', path=conf_path)" - ], - "metadata": { - "collapsed": false, - "pycharm": { - "name": "#%%\n" - } - } - }, - { - "cell_type": "code", - "execution_count": 2, - "outputs": [ - { - "data": { - "text/plain": "" - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "kwargs = {\n", - " 'data_path' : os.path.abspath('data/agents/'),\n", - " 'agents_names' : ['rte_case14_redisp_do_nothing_agent', 'rte_case14_redisp_random_agent'],\n", - " 'episodes_names' : ['0', '1']\n", - "}\n", - "conf.create_config(**kwargs)" - ], - "metadata": { - "collapsed": false, - "pycharm": { - "name": "#%%\n" - } - } - }, - { - "cell_type": "code", - "execution_count": 2, - "outputs": [ - { - "data": { - "text/plain": "{'data_path': 'tests/data/agents',\n 'agents_names': \"['rte_case14_redisp_do_nothing_agent', 'rte_case14_redisp_random_agent']\",\n 'episodes_names': \"['0', '1']\"}" - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "conf.get_options_dict()" - ], - "metadata": { - "collapsed": false, - "pycharm": { - "name": "#%%\n" - } - } - }, - { - "cell_type": "code", - "execution_count": 4, - "outputs": [], - "source": [ - "path = conf.get_option('data_path')" - ], - "metadata": { - "collapsed": false, - "pycharm": { - "name": "#%%\n" - } - } - }, - { - "cell_type": "code", - "execution_count": 10, - "outputs": [ - { - "data": { - "text/plain": "'/home/seif-eddine/PycharmProjects/RLBenchPlot/notebooks/tests/data/agents'" - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "os.path.abspath(path)\n", - "\n" - ], - "metadata": { - "collapsed": false, - "pycharm": { - "name": "#%%\n" - } - } - }, - { - "cell_type": "code", - "execution_count": null, - "outputs": [], - "source": [], - "metadata": { - "collapsed": false, - "pycharm": { - "name": "#%%\n" - } - } - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.8" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} \ No newline at end of file From 84c897ecc96f710e63c46ab8c19e8ffcc4bce73c Mon Sep 17 00:00:00 2001 From: seifou Date: Wed, 27 Apr 2022 15:32:52 +0200 Subject: [PATCH 3/8] change args in visualize_grid_state --- getting_started/Getting_Started.ipynb | 38 +++++++++++++-------------- grid2bench/AgentsAnalytics.py | 6 ++--- 2 files changed, 21 insertions(+), 23 deletions(-) diff --git a/getting_started/Getting_Started.ipynb b/getting_started/Getting_Started.ipynb index 38c4aa3..2824baf 100644 --- a/getting_started/Getting_Started.ipynb +++ b/getting_started/Getting_Started.ipynb @@ -16,7 +16,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -44,7 +44,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -97,7 +97,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -115,7 +115,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -145,7 +145,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 6, "metadata": { "pycharm": { "name": "#%%\n" @@ -156,9 +156,9 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 24/24 [01:15<00:00, 3.15s/it]\n", - "100%|██████████| 24/24 [01:09<00:00, 2.88s/it]\n", - "100%|██████████| 24/24 [01:07<00:00, 2.80s/it]\n" + "100%|██████████| 24/24 [01:04<00:00, 2.68s/it]\n", + "100%|██████████| 24/24 [00:56<00:00, 2.35s/it]\n", + "100%|██████████| 24/24 [01:03<00:00, 2.65s/it]\n" ] } ], @@ -171,7 +171,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -188,7 +188,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -205,7 +205,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -10397,7 +10397,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 15, "metadata": { "pycharm": { "name": "#%%\n" @@ -10412,7 +10412,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -10446,7 +10446,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 17, "metadata": { "pycharm": { "name": "#%%\n" @@ -10466,7 +10466,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 18, "metadata": { "pycharm": { "name": "#%%\n" @@ -10487,7 +10487,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 19, "metadata": { "pycharm": { "name": "#%%\n" @@ -10508,7 +10508,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -10541,7 +10541,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -10559,7 +10559,7 @@ ], "source": [ "fig = aa.visualize_grid_state(\n", - " env_name='l2rpn_neurips_2020_track1_small',\n", + " env.observation_space,\n", " agent= tutor_binbinchen,\n", " timestamp_str='2012-02-07 20:20:00')\n", "fig.show()" diff --git a/grid2bench/AgentsAnalytics.py b/grid2bench/AgentsAnalytics.py index 4fb544a..475b6a3 100644 --- a/grid2bench/AgentsAnalytics.py +++ b/grid2bench/AgentsAnalytics.py @@ -927,12 +927,10 @@ def plot_actions_freq_by_substation_by_id( return fig @staticmethod - def visualize_grid_state(env_name: str, agent: EpisodesDataTransformer, + def visualize_grid_state(observation_space, agent: EpisodesDataTransformer, timestamp_str: str, **kwargs): - # uploading grid2op environment to get the observation_space - env = grid2op.make("l2rpn_neurips_2020_track1_small") - plot_helper = PlotMatplot(env.observation_space) + plot_helper = PlotMatplot(observation_space) # get the observation obs = agent.get_observation_by_timestamp(timestamp_str) From 1beb9c0dc7843d824f5850ca497ae4dbe19fb92a Mon Sep 17 00:00:00 2001 From: seifou Date: Wed, 11 May 2022 17:48:55 +0200 Subject: [PATCH 4/8] add episode arg in Visualize_grid_state function --- getting_started/Getting_Started.ipynb | 6384 +------------------------ grid2bench/AgentsAnalytics.py | 4 +- grid2bench/EpisodesDataTransformer.py | 52 +- 3 files changed, 262 insertions(+), 6178 deletions(-) diff --git a/getting_started/Getting_Started.ipynb b/getting_started/Getting_Started.ipynb index 2824baf..31aa9da 100644 --- a/getting_started/Getting_Started.ipynb +++ b/getting_started/Getting_Started.ipynb @@ -16,8 +16,12 @@ }, { "cell_type": "code", - "execution_count": 2, - "metadata": {}, + "execution_count": 1, + "metadata": { + "pycharm": { + "is_executing": true + } + }, "outputs": [], "source": [ "import os\n", @@ -44,7 +48,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -97,7 +101,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -115,7 +119,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -145,7 +149,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": { "pycharm": { "name": "#%%\n" @@ -156,9 +160,9 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 24/24 [01:04<00:00, 2.68s/it]\n", - "100%|██████████| 24/24 [00:56<00:00, 2.35s/it]\n", - "100%|██████████| 24/24 [01:03<00:00, 2.65s/it]\n" + "100%|██████████| 24/24 [01:06<00:00, 2.76s/it]\n", + "100%|██████████| 24/24 [01:01<00:00, 2.56s/it]\n", + "100%|██████████| 24/24 [01:22<00:00, 3.42s/it]\n" ] } ], @@ -171,7 +175,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -188,7 +192,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -205,7 +209,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -232,7 +236,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 9, "metadata": { "pycharm": { "name": "#%%\n" @@ -1400,9 +1404,9 @@ } }, "text/html": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "eps.plot_actions_by_station_by_id(\n", - " df,\n", - " title = 'Tutor Binbinchen : Frequency of actions by substation')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "If you want to go further in your analysis, you can view several information about different types of actions using the display_detailed_action_type() function. \n", - "\n", - "The widget provide the possibility to choose the action type to focus on the actions of the same type and also the columns of dataframe have the filtering possibility in case we want to check a specific substation or action_id.\n", - "\n", - "These informations can be: the action id, the type, the impact on the power network and the scenario in which the action has taken place." - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [], - "source": [ - "#Important remark: in order to see the dataframes produced in the next cell, you need to execuent once the two\n", - "#lines bellow and dont forget to restart your jupyter once. Then you can comment them\n", - "\n", - "\n", - "#jupyter nbextension enable --py --sys-prefix qgrid\n", - "#jupyter nbextension enable --py --sys-prefix widgetsnbextension" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "data": {}, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "''" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "1265ebb8939b4a448db900e183e58bb9", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Dropdown(description='Table', options=('Select', 'Tolopology', 'Force_line', 'Redispatching', 'Injection', 'Cu…" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "''" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "63f4180003d9435c9f7f7b731d4b091a", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "QgridWidget(grid_options={'fullWidthRows': True, 'syncColumnCellResize': True, 'forceFitColumns': True, 'defau…" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "tutor_binbinchen.display_detailed_action_type(agents.episodes_names)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "pycharm": { - "name": "#%% md\n" - } - }, - "source": [ - "# Impact of actions on objects\n", - "### 1. Impact on lines\n", - "\n", - "#### 1.1 Overloaded lines\n", - "In this section we can analyzse and visualize the impact of actions on lines. We start with overloaded lines, below the overloaded lines for different agents are visualized as barplots." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can visualize overloaded lines and compare the results of different agents in a bar plot. This helps to figure out what might be the crirtical or weak lines on the grid for a given agent. Example below is the usage of function for overloaded lines: " - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "alignmentgroup": "True", - "cliponaxis": false, - "hovertemplate": "variable=PPO_Agent
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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "chart_title = \"Disconnected lines\"\n", - "\n", - "aa.plot_lines_impact(\n", - " agents_results, \n", - " overloaded= False,\n", - " title = chart_title,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "pycharm": { - "name": "#%% md\n" - } - }, - "source": [ - "### 2. Impact on reference topology\n", - "\n", - "This indicator gives an idea if the agent is rather acting smoothly or not, how far he might get from a reference topology in a more unknown configuration, or how much time it might stay in a new configuration. The function below provides the possibility to compute and compare the distance from the initial topology at each time step for the selected episode." - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "13cfa1b52e2c4651a70b0277c3080e22", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "interactive(children=(Dropdown(description='Episode', options=('jan32_1', 'jan32_2', 'feb20_1', 'feb20_2', 'ma…" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "w = widgets.Dropdown(\n", - " options=agents.episodes_names,\n", - " \n", - " description='Episode',\n", - " )\n", - "def f(x):\n", - " display(aa.plot_distance_from_initial_topology(agents_results, episodes_names=[x]))\n", - " \n", - "interact(f, x=w);" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "pycharm": { - "name": "#%% md\n" - } - }, - "source": [ - "### 3. Impact on substations" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In the same way as impact of actions on lines, we can visualized the impact of actions on the substations. Figure below presents the frequency of action by stations for two different agents. \n", - "This is a different representation than the Pie chart above that allows for more quantitative comparison between agents. Figure below presents the frequency of action by stations for two different agents. " - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "alignmentgroup": "True", - "cliponaxis": false, - "hovertemplate": "variable=PPO_Agent
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" - ] - }, - "metadata": {}, - "output_type": "display_data" + "outputs": [], + "source": [ + "eps.plot_actions_by_station_by_id(\n", + " df,\n", + " title = 'Tutor Binbinchen : Frequency of actions by substation')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If you want to go further in your analysis, you can view several information about different types of actions using the display_detailed_action_type() function. \n", + "\n", + "The widget provide the possibility to choose the action type to focus on the actions of the same type and also the columns of dataframe have the filtering possibility in case we want to check a specific substation or action_id.\n", + "\n", + "These informations can be: the action id, the type, the impact on the power network and the scenario in which the action has taken place." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#Important remark: in order to see the dataframes produced in the next cell, you need to execuent once the two\n", + "#lines bellow and dont forget to restart your jupyter once. Then you can comment them\n", + "\n", + "\n", + "#jupyter nbextension enable --py --sys-prefix qgrid\n", + "#jupyter nbextension enable --py --sys-prefix widgetsnbextension" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "tutor_binbinchen.display_detailed_action_type(agents.episodes_names)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "pycharm": { + "name": "#%% md\n" + } + }, + "source": [ + "# Impact of actions on objects\n", + "### 1. Impact on lines\n", + "\n", + "#### 1.1 Overloaded lines\n", + "In this section we can analyzse and visualize the impact of actions on lines. We start with overloaded lines, below the overloaded lines for different agents are visualized as barplots." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can visualize overloaded lines and compare the results of different agents in a bar plot. This helps to figure out what might be the crirtical or weak lines on the grid for a given agent. Example below is the usage of function for overloaded lines: " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [], + "source": [ + "# if disconnected == False, then plot overloaded lines, else plot disconnected lines\n", + "\n", + "chart_title = \"Overloaded lines\"\n", + "aa.plot_lines_impact(\n", + " agents_results,\n", + " title= chart_title,\n", + " yaxis_type = \"linear\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "pycharm": { + "name": "#%% md\n" } - ], + }, + "source": [ + "#### 1.2 Disconnected lines\n", + "In the same manner, we can visualized and compare the disconnected lines." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [], + "source": [ + "chart_title = \"Disconnected lines\"\n", + "\n", + "aa.plot_lines_impact(\n", + " agents_results, \n", + " overloaded= False,\n", + " title = chart_title,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "pycharm": { + "name": "#%% md\n" + } + }, + "source": [ + "### 2. Impact on reference topology\n", + "\n", + "This indicator gives an idea if the agent is rather acting smoothly or not, how far he might get from a reference topology in a more unknown configuration, or how much time it might stay in a new configuration. The function below provides the possibility to compute and compare the distance from the initial topology at each time step for the selected episode." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "w = widgets.Dropdown(\n", + " options=agents.episodes_names,\n", + " \n", + " description='Episode',\n", + " )\n", + "def f(x):\n", + " display(aa.plot_distance_from_initial_topology(agents_results, episodes_names=[x]))\n", + " \n", + "interact(f, x=w);" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "pycharm": { + "name": "#%% md\n" + } + }, + "source": [ + "### 3. Impact on substations" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In the same way as impact of actions on lines, we can visualized the impact of actions on the substations. Figure below presents the frequency of action by stations for two different agents. \n", + "This is a different representation than the Pie chart above that allows for more quantitative comparison between agents. Figure below presents the frequency of action by stations for two different agents. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [], "source": [ "aa.plot_actions_freq_by_station(\n", " agents_results,\n", @@ -9846,28 +4947,13 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": null, "metadata": { "pycharm": { "is_executing": true } }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "083c9249438241068dd1cfca03a91000", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "interactive(children=(Dropdown(description='Episode', options=('jan32_1', 'jan32_2', 'feb20_1', 'feb20_2', 'ma…" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "w = widgets.Dropdown(\n", " options=agents.episodes_names,\n", @@ -9900,28 +4986,13 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": null, "metadata": { "pycharm": { "name": "#%%\n" } }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "df9f2db4c57143ce841458cc851b4d58", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "interactive(children=(Dropdown(description='Episode', options=('jan32_1', 'jan32_2', 'feb20_1', 'feb20_2', 'ma…" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "min_length= 0\n", "max_length= 15\n", @@ -9952,199 +5023,13 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": null, "metadata": { "pycharm": { "name": "#%%\n" } }, - "outputs": [ - { - "data": { - "text/html": [ - "
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TimestampSequence startSequence endSequence lengthNB actionsNB unitary actionsImpacted SubsImpacted lines
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3[2012-07-13 09:50:00, 2012-07-13 09:55:00, 201...2012-07-13 09:50:002012-07-13 10:10:005523[[sub_23], [sub_28], [sub_1], [sub_16], [sub_23]][[], [], [], [], []]
4[2012-11-05 19:05:00, 2012-11-05 19:10:00, 201...2012-11-05 19:05:002012-11-05 19:35:007715[[sub_28], [sub_31], [sub_7], [sub_1], [sub_28...[[], [], [], [], [], [], []]
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"\t - NOT change anything to the injections\n", - "\t - NOT perform any redispatching action\n", - "\t - NOT modify any storage capacity\n", - "\t - NOT perform any curtailment\n", - "\t - NOT force any line status\n", - "\t - NOT switch any line status\n", - "\t - Change the bus of the following element(s):\n", - "\t \t - Switch bus of line (extremity) id 18 [on substation 16]\n", - "\t \t - Switch bus of line (extremity) id 19 [on substation 16]\n", - "\t \t - Switch bus of line (origin) id 27 [on substation 16]\n", - "\t \t - Switch bus of line (origin) id 28 [on substation 16]\n", - "\t \t - Switch bus of line (origin) id 54 [on substation 16]\n", - "\t \t - Switch bus of generator id 5 [on substation 16]\n", - "\t \t - Switch bus of generator id 6 [on substation 16]\n", - "\t \t - Switch bus of generator id 7 [on substation 16]\n", - "\t \t - Switch bus of generator id 8 [on substation 16]\n", - "\t - NOT force any particular bus configuration\n" - ] - } - ], + "outputs": [], "source": [ "print(grid2op_act)" ] }, { "cell_type": "code", - "execution_count": 17, + "execution_count": null, "metadata": { "pycharm": { "name": "#%%\n" @@ -10466,7 +5119,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": null, "metadata": { "pycharm": { "name": "#%%\n" @@ -10487,7 +5140,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": null, "metadata": { "pycharm": { "name": "#%%\n" @@ -10508,22 +5161,9 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "from grid2op.PlotGrid import PlotMatplot\n", "\n", @@ -10541,22 +5181,9 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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TimestampExecution time
02012-01-02 02:00:000.000535965
12012-01-02 02:05:008.39233e-05
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Transform the data structure and prepare it for plotting with plotly's @@ -657,8 +662,8 @@ def action_sequences_to_dict(self, episodes_names: Optional[List] = None, return dict_list - def overloaded_lines_freq_several_episodes(self, - episodes_names: Optional[List] = None) -> pd.DataFrame: + def overloaded_lines_freq_several_episodes(self, episodes_names: Optional[ + List] = None) -> pd.DataFrame: """Overloaded lines for all episodes in episodes_names. If episodes_names=None, then returns the results of all loaded episodes. @@ -698,8 +703,9 @@ def overloaded_lines_freq_several_episodes(self, overloaded_lines_for_episode_i = episode_data.overloaded_lines_by_timestamp() overloaded_lines_flatten = [list(item) for dict in - overloaded_lines_for_episode_i for key, item in dict.items() if - key == 'Overloaded lines'] + overloaded_lines_for_episode_i for key, item + in dict.items() if + key == 'Overloaded lines'] overloaded_lines = overloaded_lines + overloaded_lines_flatten @@ -717,8 +723,8 @@ def overloaded_lines_freq_several_episodes(self, return df - def disconnected_lines_freq_several_episodes(self, - episodes_names: Optional[List] = None) -> pd.DataFrame: + def disconnected_lines_freq_several_episodes(self, episodes_names: Optional[ + List] = None) -> pd.DataFrame: """Disconnected lines for all episodes in episodes_names. If episodes_names=None, then returns the results of all loaded episodes. @@ -757,8 +763,9 @@ def disconnected_lines_freq_several_episodes(self, if episode_data.episode_name in episodes_names: disconnected_lines_for_episode_i = episode_data.disconnected_lines_by_timestamp() disconnected_lines_flatten = [list(item) for dict in - disconnected_lines_for_episode_i for key, item in dict.items() if - key == 'Disconnected lines'] + disconnected_lines_for_episode_i for + key, item in dict.items() if + key == 'Disconnected lines'] disconnected_lines = disconnected_lines + disconnected_lines_flatten @@ -798,11 +805,11 @@ def on_change(change): if (not len( episodes_names)) or episode_data.episode_name in episodes_names: functions = {'Tolopology': episode_data.create_topology_df, - 'Force_line': episode_data.create_force_line_df, - 'Redispatching': episode_data.create_dispatch_df, - 'Injection': episode_data.create_injection_df, - 'Curtailment': episode_data.create_curtailment_df, - 'Storage': episode_data.create_storage_df} + 'Force_line': episode_data.create_force_line_df, + 'Redispatching': episode_data.create_dispatch_df, + 'Injection': episode_data.create_injection_df, + 'Curtailment': episode_data.create_curtailment_df, + 'Storage': episode_data.create_storage_df} r = functions[change['new']]() r[1]['episode_name'] = episode_data.episode_name result = pd.concat([result, r[1]]) @@ -852,11 +859,10 @@ def get_action_by_id(self, action_id): return act_episodes[action_id] @staticmethod - def plot_actions_by_station_by_id(df, - title: Optional[str] = 'Frequency of actions by substation', - **fig_kwargs): + def plot_actions_by_station_by_id(df, title: Optional[ + str] = 'Frequency of actions by substation', **fig_kwargs): fig = px.sunburst(df, path=['susbtation', 'action_id'], values='nb_action', - title=title, ) + title=title, ) fig.update_layout(**fig_kwargs) return fig From fdd7fbbfbea6bf6e8846fe54714acc6422ac02ec Mon Sep 17 00:00:00 2001 From: seif ATTOUI Date: Tue, 28 Nov 2023 12:19:27 +0000 Subject: [PATCH 5/8] display plotly as png in jupyter notebooks --- getting_started/Getting_Started.ipynb | 3959 +++---------------------- 1 file changed, 426 insertions(+), 3533 deletions(-) diff --git a/getting_started/Getting_Started.ipynb b/getting_started/Getting_Started.ipynb index 31aa9da..c659597 100644 --- a/getting_started/Getting_Started.ipynb +++ b/getting_started/Getting_Started.ipynb @@ -18,6 +18,10 @@ "cell_type": "code", "execution_count": 1, "metadata": { + "ExecuteTime": { + "start_time": "2023-11-28T12:04:51.144173597Z" + }, + "is_executing": true, "pycharm": { "is_executing": true } @@ -60,3519 +64,252 @@ "cell_type": "markdown", "metadata": { "pycharm": { - "name": "#%% md\n" - } - }, - "source": [ - "TOC\n", - "- [Results loading](#results_loading)\n", - "- [Cumulative reward](#cumulative_reward)\n", - "- [Actions frequency](#actions_frequency)\n", - "- [Impact of actions on objects](#actions_impact)\n", - "- [Action execution time](#execution_time)\n", - "- [Actions sequence length](#sequence_length)\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "pycharm": { - "name": "#%% md\n" - } - }, - "source": [ - "# Results loading" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Loading params from the config file" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can load the config parameters by giving the path to the config file at the first place:" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "# config file name and path\n", - "conf_path = os.path.abspath(\"../conf.ini\")\n", - "conf = ConfigManager(benchmark_name='Bench5', path=conf_path)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Once the config file is imported correctly, its parameters could be accessed easily as shown below: " - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "#Initialization of parameters for benchmarking 1\n", - "input_data_path = os.path.abspath(os.path.join('..', conf.get_option('data_path')))\n", - "agents_names = conf.get_option_tolist('agents_names')\n", - "episodes_names = conf.get_option_tolist('episodes_names')" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "pycharm": { - "name": "#%% md\n" - } - }, - "source": [ - "### Loading all agents results using Agents_Analysis class" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can load all (or a list of selected agents) together in one command. It is important to notice that using this option, all the episodes of the agents are loaded. Due to potential memory problem, it is recommended that you load no more than two agents with all episodes on your local computer. " - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 24/24 [01:06<00:00, 2.76s/it]\n", - "100%|██████████| 24/24 [01:01<00:00, 2.56s/it]\n", - "100%|██████████| 24/24 [01:22<00:00, 3.42s/it]\n" - ] - } - ], - "source": [ - "agents = AgentsAnalytics(\n", - " data_path=input_data_path,\n", - " agents_names= agents_names,\n", - " episodes_names= episodes_names)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "['PPO_Agent', 'Tutor_binbinchen', 'Tutor N-1(200 Actions)_Tutor']\n" - ] - } - ], - "source": [ - "print(agents.agents_names)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "['jan32_1', 'jan32_2', 'feb20_1', 'feb20_2', 'mar39_1', 'mar39_2', 'apr19_1', 'apr19_2', 'may24_1', 'may24_2', 'jun14_1', 'jun14_2', 'jul28_1', 'jul28_2', 'aug02_1', 'aug02_2', 'sep21_1', 'sep21_2', 'oct05_1', 'oct05_2', 'nov46_1', 'nov46_2', 'dec16_1', 'dec16_2']\n" - ] - } - ], - "source": [ - "print(agents.episodes_names)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "agents_results = agents.agents_data\n", - "\n", - "ppo_agent = agents_results[agents.agents_names.index('PPO_Agent')]\n", - "tutor_binbinchen = agents_results[agents.agents_names.index('Tutor_binbinchen')]\n", - "tutor_200_acts = agents_results[agents.agents_names.index('Tutor N-1(200 Actions)_Tutor')]\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Cumulative rewards" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can visualize for each agent and for each episode, the Cumulative reward and total accomplished time steps. 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" - ] + "name": "#%% md\n" + } + }, + "source": [ + "TOC\n", + "- [Results loading](#results_loading)\n", + "- [Cumulative reward](#cumulative_reward)\n", + "- [Actions frequency](#actions_frequency)\n", + "- [Impact of actions on objects](#actions_impact)\n", + "- [Action execution time](#execution_time)\n", + "- [Actions sequence length](#sequence_length)\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "pycharm": { + "name": "#%% md\n" + } + }, + "source": [ + "# Results loading" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Loading params from the config file" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can load the config parameters by giving the path to the config file at the first place:" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# config file name and path\n", + "conf_path = os.path.abspath(\"../conf.ini\")\n", + "conf = ConfigManager(benchmark_name='Bench5', path=conf_path)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Once the config file is imported correctly, its parameters could be accessed easily as shown below: " + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "#Initialization of parameters for benchmarking 1\n", + "input_data_path = os.path.abspath(os.path.join('..', conf.get_option('data_path')))\n", + "agents_names = conf.get_option_tolist('agents_names')\n", + "episodes_names = conf.get_option_tolist('episodes_names')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "pycharm": { + "name": "#%% md\n" + } + }, + "source": [ + "### Loading all agents results using Agents_Analysis class" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can load all (or a list of selected agents) together in one command. It is important to notice that using this option, all the episodes of the agents are loaded. Due to potential memory problem, it is recommended that you load no more than two agents with all episodes on your local computer. " + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 24/24 [01:04<00:00, 2.69s/it]\n", + "100%|██████████| 24/24 [00:57<00:00, 2.38s/it]\n", + "100%|██████████| 24/24 [01:04<00:00, 2.68s/it]\n" + ] + } + ], + "source": [ + "agents = AgentsAnalytics(\n", + " data_path=input_data_path,\n", + " agents_names= agents_names,\n", + " episodes_names= episodes_names)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['PPO_Agent', 'Tutor_binbinchen', 'Tutor N-1(200 Actions)_Tutor']\n" + ] + } + ], + "source": [ + "print(agents.agents_names)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['jan32_1', 'jan32_2', 'feb20_1', 'feb20_2', 'mar39_1', 'mar39_2', 'apr19_1', 'apr19_2', 'may24_1', 'may24_2', 'jun14_1', 'jun14_2', 'jul28_1', 'jul28_2', 'aug02_1', 'aug02_2', 'sep21_1', 'sep21_2', 'oct05_1', 'oct05_2', 'nov46_1', 'nov46_2', 'dec16_1', 'dec16_2']\n" + ] + } + ], + "source": [ + "print(agents.episodes_names)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "agents_results = agents.agents_data\n", + "\n", + "ppo_agent = agents_results[agents.agents_names.index('PPO_Agent')]\n", + "tutor_binbinchen = agents_results[agents.agents_names.index('Tutor_binbinchen')]\n", + "tutor_200_acts = agents_results[agents.agents_names.index('Tutor N-1(200 Actions)_Tutor')]\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Cumulative rewards" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can visualize for each agent and for each episode, the Cumulative reward and total accomplished time steps. Function below is an example of cumulative rewards for two agents:" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [ + { + "data": { + "image/png": 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h6kKwfyW8YuD5KrZHA6eyGNm3tf4+xObCwtU6GRThFV8OxMYt3bF1z0mMmrYSu1zHy1xikTIhZPrvEvl+4iTSCxzskxosvCJ/VqQMiI13Sb7nMgfvNFnihHIzpBBeUXLs6uFlIaqQiC9v//53C2d2zg1TeHV9iS9Vt+49wcLVu/Dvfzexy3UCPvv6yRSZsOr2ii8oJYvkxrSRXaUUu7/7KL+YBD9EWyHCQngNvY8Y8PnFIZAACZAACZCAQQRinPDqKhhUKFUAM8b00O9s192N2NgjchB1ZcnErvm9R8/Ln9h1h9jUJX7eFT+1Gyu8YlNYxvQOsjKB7tD95BuW8OpEbu743hD3IA4hrvWdh+PJizc4uGGqzO3VpTQEj8iF9eAJEV0U0dPm9Sth4px1MioocoDFsXTdHimc4suB2JCkO0SkztraMswvDOKc8ITX0P6Wrd8LESkVG8FEKTOx0Uoc1VsMQpvG1SDyfHWpBFqtVn75aFavEgZ3b6Yfoy6PNSLhFXm+oqrDpsWj9G11kW9DUhpC5wSLKOrOA2dwfs8C2V+pOj1Rr3ppmesb/BAbGEVkWOT5GhrhFekeIoI6y6WH3KSmO0TutchjTpUymfwn3b2Hzgl2av0PUiRLjBUzB/8kvCfOXkOaVMlD5Pzqqm2IX0PERjyRw1upTOEQXyzEJjWRdiI2DLZpVFXmkW/ccUxKdYL4dnI8Yj2Ub9AHmRxTS+E19D4M+oThSSRAAiRAAiQQAwjEOOEVTHRCKTY5NaxZFmlS2UPk98qo2K1H6N+5sT4Xd8/hczLKK/6jX7VcEZmfOH72Wly7/VBuHDJWeEdOXYEjpy5jzbxhsuSXKOElUhNE7mxYwitKiVVs3E/+3D+6f1uIzWeiTFXqlMnlxqcpI7rITVofPnlBVDwQkdv6NcrISgyiOkDoJ63duPNYVjwQcinEW2yk0h1CVISQi0h3v86NZDTy3uOXUmpE3mrwjVjB11p4wmtof+LeRWRUSLYotSY2pulE7uLVuzJXWYi5rq5vm94TZcmreRP6SFnfsvsEfL74Ycvu42hSuwJ6dWggf5IXm9ZCb+TS5SOLDVeiioIopTXfdQdevH4nuYVXpUGX0iC4ig2QooSX+OIwapqrrPagk3SxUU9UjBDrRFQ28A8IkOPbuPOY/NlflPwyVHgFAxFBFVF+IdBiM5mo+iCqIDx/7Y49qyfKUntCeA+euIjMGdJgYNcmSJ40sazSIL5IiOoR4sEjocuSiV8+nr54Ix+4Iip/iI2CopTa7sNnsXvVBJnPK66zZN1uDOrWTG6EFNeeOHe93DC403W8/AIkKkiIuStbIh+6tqkLkQ8tvjS9cHuHhPHt9FUaDLmPGPD5xSGQAAmQAAmQgEEEYqTwipGLTVAiX1GIq9gEJkpXiZqtrRpWDfETtUhxmLJgAw4cvyh3m2fLnA5De7ZA/zELZJRtYLemRqU0CNEW5cHEDnkRrRQ5v6Ieq4gg6yoshK7De+r8dSnFL9+8l9HcTi2dUK1cUbTrO1nuqhcyJB6sMWzSMhkpFT9zb18+DtMXbw7z0cIiB1PUahU5mCJfM/gh6vCKCgCixJeIJKZIngTVyheVZbzCSmfQRfREmkHoHF7xmqH9ifQKwUZsmNPVq9VJptjsFXwjoKgUINIIbt17KoVXbKrq2b6+ZCRSDITglSycO0zhFT/fz162VVY1EJIsqhoIyRWl30oVyS1TPMI6dGNZOm2A/IlebqqzUMk1IUqqidrHuiN4HV5rayvkzp4RXdvU0W+e+x3hFSIqUm4OnfgP7z96yvq6YoOZiDQHj/CKVAQR3Rab3IQgixSIlg2qyF8lxBFaeMUXqZlLt+LUuWuSe7x4tvJLkEgbEaXcxCHWp7jXzbtPyDq8Ilda1JUW1xZfinSHyCcXkuv29oOsGtGhhZOsU3z99iP9BklD7sOgTxieRAIkQAIkQAIxgECMFd4YwIZDiMUEflS0mIz0acKumRtdtxeZJ/NF11h5XRIgARIgARIwBwIUXnOYRd7DTwQovFwUJEACJEACJEACOgIUXq4FsyRA4TXLaeVNkQAJkAAJkECkCFB4I4WNjUiABEiABEiABEiABGILAQpvbJkpjpMESIAESIAESIAESCBSBCi8kcLGRiRAAiRAAiRAAiRAArGFAIU3tswUx0kCJEACJEACJEACJBApAhTeSGFjIxIgARIgARIgARIggdhCgMIbW2aK4yQBEiABEiABEiABEogUAQpvpLCxEQmQAAmQAAmQAAmQQGwhQOGNLTPFcZIACZAACZAACZAACUSKAIU3UtjYiARIgARIgARIgARIILYQoPDGlpniOEmABEiABEiABEiABCJFgMIbKWxsRAIkQAIkQAIkQAIkEFsIUHhjy0xxnCRAAiRAAiRAAiRAApEiQOGNFDY2IgESIAESIAESIAESiC0EKLyxZaY4ThIgARIgARIgARIggUgRoPBGChsbkQAJkAAJkAAJkAAJxBYCFN7YMlMcJwmQAAmQAAmQAAmQQKQIUHgjhY2NSIAESIAESIAESIAEYgsBCm9smSmOkwRIgARIgARIgARIIFIEKLyRwsZGJEACJEACJEACJEACsYUAhTe2zBTHSQIkQAIkQAIkQAIkECkCFN5IYWMjEiABEiABEiABEiCB2EKAwhtbZorjJAESIAESIAESIAESiBQBCm+ksLERCZAACZAACZAACZBAbCFA4Y0tM8VxkgAJkAAJkAAJkAAJRIoAhTdS2NiIBEiABEiABEiABEggthCg8MaWmeI4SYAESIAESIAESIAEIkWAwhspbGxEAiRAAiRAAiRAAiQQWwhQeGPLTHGcJEACJEACJEACJEACkSJA4Y0UNjYiARIgARIgARIgARKILQQovLFlpjhOEiABEiABEiABEiCBSBGg8EYKGxuRAAmQAAmQAAmQAAnEFgIU3tgyUxwnCZAACZAACZAACZBApAhQeCOFjY1IgARIgARIgARIgARiCwEKb2yZKY6TBEiABEiABEiABEggUgQovJHCxkYkQAIkQAIkQAIkQAKxhQCFN7bMFMdJAiRAAiRAAiRAAiQQKQIU3khhYyMSIAESIAESIAESIIHYQoDCG1tmiuMkARIgARIgARIgARKIFAEKb6SwsREJkAAJkAAJkAAJkEBsIUDhjS0zxXGSAAmQAAmQAAmQAAlEigCFN1LY2IgESIAESIAESIAESCC2EKDwxpaZ4jhJgARIgARIgARIgAQiRYDCGylsbEQCJEACJEACJEACJBBbCFB4Y8tMcZwkQAIkQAIkQAIkQAKRIkDhjRQ2NiIBEiABEiABEiABEogtBCi8sWWmOE4SIAESIAESIAESIIFIEaDwRgobG5EACZAACZAACZAACcQWAhReI2fK7YOfkT2wOQmQAAmQQFwjkDqZbVy7Zd4vCUQrAQqvkfgpvEYCZHMSIAESiIMEKLxxcNJ5y9FKgMJrJH4Kr5EA2ZwESIAE4iABCm8cnHTecrQSoPAaiZ/CayRANicBEiCBOEiAwhsHJ523HK0EKLxG4qfwGgmQzUmABEggDhKg8MbBSectRysBCq+R+Cm8RgJkcxIgARKIgwQovHFw0nnL0UqAwmskfgqvkQDZnARIgATiIAEKbxycdN5ytBKg8BqJn8JrJEA2JwESIIE4SCC6hHfi3HVwf/8Js1x6REi9fvsRaFCzLFrUr/TTud6ffVHCqRt2rByHrBnTRtgXTyCB6CZA4TVyBii8RgJkcxIgARKIgwSiS3hfvHaHv38gsmRMEyF1Cm+EiHhCLCJA4TVysii8RgJkcxIgARKIgwT+tPBqtVpotYBSqTCYNoXXYFQ8MRYQoPAaOUkUXiMBsjkJkAAJxEEChgpvk85jUKpobvRq30BPadbSrbhw9S42LBiBm/eeYvK89bj36DlsrK1RsUxBDOvVElZWljj271VMXbABDZ3KYd7K7fL87ftP61MaNBotZi7Zgt2Hz8LL5wsypnPAoO7NULxgTnktIbyVyxbG9duPcPHqPaR2SI4hPZqjdNE8CJ3S8M0/AJPnb8CB4xeg1WiR+69MGNa7JTKkc4iDs8tbjokEKLxGzgqF10iAbE4CJEACcZCAocK7cuN+7Dh4BjtXjtdTcmr9D5rWqSBzays17o/qFYuhe9t6+PDJCx0HTEXjWuXRrml1nL5wAwPHLkK1ckXRuXVtJE+SENMWbdIL79Y9JzF72Va4zv4HaRySY/32I1i2bi9O/m82LC0tpPB+9PTB2EHtUSB3FrhuOoCVm/bj2JaZUCgVIXJ4Rb837jzGtJHdkChhPCxavQv7j13AnjUTYaFSxcEZ5i3HNAIUXiNnhMJrJEA2JwESIIE4SMBQ4X3j/gGVmvTH/nVTkD5NCjx+9hp12g3H8a0zYZ8ssRTS+HY2MqIrjvGz18h/mz6qG05fuIkug6fj8MZpMjorjuCb1kRU1tfvK5IkSiBf8/T6jFJ1emD36onIlD6VFN6/sqTHhH86yte/fvNHcadumDqiC4oVzKkX3iwZ0qBojS6YP6Evihb4S56rVmtQrGYXLJjYT/9vcXCaecsxiACF18jJoPAaCZDNSYAESCAOEjBUeAWapl1dZJS2bZNqMnJ68epdrJg5WFITaQsrN+7Dm3cf5d/ePl9QrEAOzB3fWwpvj6GzcP3ocj3h4MLr5f0Fs5ZtxX/X7uHr12/yHNHPtmUuUnSF8FavUAwdWzjp21ds1E9Gj2tXLaUX3sQJ46Ncgz5hzuK4we1Rr3qZODjDvOWYRiBOCu/C1TuxcccxBAQEomSR3HAZ2A52tjZ48fodhk5cirsPn8ufd1wGOSN/riy49+gF+oychwPrp/w0fxTemLakOR4SMA0BhUIBuevn+6EVe39+/Gmai7JXsyXwO8LruvkAjp6+jDVzh6FBh5FoWrcCGjmVw9MXb1C33XD536palUvKDWkij/aV2zu98PYdNReXDiwJU3iHTFiC56/cMWdsTxkt/vzFD8Vqdg0hvE6VS8C5aQ19+0qN+6FTq9qoVr6oXnhFhLhs/d76dmY7abyxWE0gzgnvoZOXMGf5NqyYMRjx49mg5/A5KJQ3O7q1qYNWPcejVJE8aN+8Jk6eu4YJc9bi4IZp8ickCm+sXuccPAkYTeD6DSWSJlbhxWsNkiRSIHEyDVKn1BjdLzuImwR+R3jfvv+IKk0HYOPCkWjebSxO/m+OzJPddehfuens+NZZeoite01AogTxDBLeqs0GyuhtQ6eysv35K3fQvt+UEMKbJ0cmjBnQTr6uS2kQgpw/d9YQObxFqnfBiL6tULtKKf1YXr/1kMEjHiQQEwjEOeG9df+pjOwWyJ1V8l+15SDuPHiGQd2aoVrzgTi3Z4E+wb5hx1EY3L0ZEsS30wtvQKAaHfpPwd/F86F9sxpghDcmLGOOgQRMT2DtBhWSJFTBykqUdgIyZQlARkeGeE1P3jyv8DvCKwgI0RV5urY21lg4qa+EIioniE1q/1vugnSpU2DBqp04c/EmLFRKbFw0SqY0/CrC26b3RKRKmQwThnTE0xdumLpwE85duo2543vJ/8aJlIZPXkH5wLmzZ8TyjfuwavNBnNg2C/4BgT9tWjt25grmT+iDtKlTYOueE5izbBuObJ6BeHY25jmJvKtYRSDOCW/o2ekyeIYs45LZMQ1cZqyST43RHQNcFqJYwRzI81cmvfCOmbEKarUaLgOd5WkU3li13jnYWEjgiy/w3kMBaysF/L5qYWOjQSq/x3B//RRp7O3h6eMD74wZ8CK+JT68foMkqVMh0PsziqXIABtYRNkdC+H181XAIYUC795rUaGimsIbZXTjXke/K7xrth7CpHnrMWloJ9SqUlIPzGXmauw9cg52ttZoUb+yLBnm3G8yCufLjkZO5X8pvKKk2bCJS/Hm3QfkyOqIcYM7YPGaXThy+jIWTuqHMTNcUbdqaZy9dBuXb9yX0dphfVrJsmWhy7Xum1wAACAASURBVJKJ6K9Ipzh44iK+fQtA9szpZAmzvDkzx73J5R3HSAJxWngXuO7A5RsPsHTaQJy/chuzl27DpsWj9BM1bNIyZMucTm4AECkN7ZpUg0iJWDy1vz4K7PdNHSMnloMiAXMh8PqtGktdgeKFVXj+Uou0abQo82El9mxbj0wWWvhDAbhMQfPAW0h85Dq80iVF5kAbbKnTA/ZWURNZClRrsGiFFokSqHDxigbFCimRL58aef5iuSVzWWd/+j5srbl2/jRzXi9uE4iTwiueOCN2qopk/ZljeshvxldvPcTwycuxd80k/YroNWIOyhTLKyO8LXuMg1KpRPlSBTB5WGf9OZ8++8ftFcS7j7EEvgUAL15pYWWhgN83LSwtgcQJgGRJfzxp6Z2/H+76e8LjtZuMjH719EYRhwywt4waUYwKOO7vtFixWoxZgQTxgfTptKjm5wrP3avxWavANy3gPWYamqlv4avHJ1h98Uc2xMPGcs5IamEdNARtqP1lYWw4UyjD34QmCvSLMaRKoUL8+MDnL0CWrIHInsXwp1ZFBQv2YT4EksS3Mp+b4Z2QQCwgECeFd8r8DXD3+IRJwzrD0iLoW7bIUxIFvP/dNQ821kEfRDVbDcHYQc6ygoP4iWjbUhc495uC/l0ao1KZQvIcpjTEglUeR4fo6wesWqtCoTwqPHmuRaKEQN78gUiT6kfe6dMAb7R8ewSKQxfhkzYJUmmtsbhyeziqgupyxoTjw0cF1qxTIk8OFd6+0yJ3Di0KvFyBU9vXI41Ki1caBRKKCK/mFuKdvQffFAmQ7aMWK+v3QSKllSyk8Oq1CoFflXj2UoOkiRVIYfcR6V4dw7+3bqF0Rkc88fmC9FXqQJs8Vbi3LFIa0jqooNYA125qUL8eUxpiwvqIrWP43ZSG2HqfHDcJxBQCcU54Rb3B8bPXYuuyMT89/aV9/ymyYoPYtSrykGYv24b96ybj0dMfVRqu3HyIvqPmYfuKcUiaOAGFN6asZI7jJwI64fX/pkD8eED8+AqULv2z8DZ/exju797C2s8fqTXWWFGqVYwU3nRplFApgWTJtCj7aQVu7lwHDRRQQYuAMVOl8FreegZloAaONongWqmzFF5x3L6rwPOnlrCwAMRDnxzs3qDgkcE4+/QVRPVRtW18lB06FZo0GX8pvO7uCgQEAH5fgbatKbx820WeAIU38uzYkgQiQyDOCe8/E5Ziz5GzUAV71KF4SszWpWMgnmgzePxi3L7/TO54HT+kA3Jlz/BTHV6RmC/OneXSg8IbmVXHNn+EgE54s2VS4a27FunSKpA5a8BPEV4hvOp/r8vIaPoPAVhYv2eMFN4KZSykrPp8UaPkuxXYsm0D1FAgi0oNlUuQ8CbfcxlKjRaJM6SDa43uIYT3/l0LWFkp8M1fi79SvZXCe/nZS/hrFVDGj4+CgyMW3gcPg1IYREleCu8fWcZmexEKr9lOLW8shhKIc8Ib1fPAlIaoJsr+ooqATnhTJlfCwkIBpVKLAgXDjvD63rgPpVYLe6t4WFoxZqY0JE2ihK8vYGOjhnNiVzzdvQ7xoEV6Cy3ODZsuhReP3RBga4ms6TNhvUPVEML7+qUl7j/UIHsWJdIkDIrwnnj6Crks1LhjnRglh0yJMMJL4Y2q1cl+KLxcAyTwZwlQeI3kTeE1EiCbm4yATnhLFQmKjL56o0XuPGFHeK12n5WRUasMqbGkeueojfDKDWI/NndpoIVSVFYIdoR6iFmI3WO6HN6Pn4LaZMqgkcJrs3+Nvged8HpqgjaR5rdK9pPw3r1tgUSJFPDy1iJH6qAI77VnL+CpUSJRwgTIPYjCa7LFyI5/IkDh5aIggT9LgMJrJG8Kr5EA2dxkBHTCG99WCVHL9pOXFq1bqsNMafB+/BQBNpZIkS4d1jlUjlLhPXNWhZRJVTj7nxrpUitQ3OEOEh9ZgW3P3qBmykR4mSU/VlbMjTs7D+Bb2bywev4e/5Soi4LW9pJNVAnvu7eW0GqAKzc0qF7cXQrvoSevIIozFLZPjHi9JzLCa7LVyI5DE6Dwck2QwJ8lQOE1kjeF10iAbG4yAjrhffMmKDJqa4twhfeF2keek9EyYZQL774DKnh5iiiqQkaaS6W8BnvXIbj1+Rs+aQDbYuUxoW5B3Lh5DVbeX2GpBWY7dUYx65RRKrwHD6ng7w8ILk0qBwmv16sXEHUc7JLZw7/7+BgvvFotoFD+iI7Lv0NVRtOotVCqgkXUNVoEa2Ky9caOf4+AKYRXlM979EINsS4MOcQyyeRowfVhCCyeE+sJUHiNnEIKr5EA41Bz8d+g4OIRWlbkf6MM/A+VIdhikvBq1UHlvMT9l0sbJLxnvL9BpVDApmh5jK1bAHfPnZfP7LXQaDG3eqcoF95NW34U+tcJr8rtuUSpSRLzhVcsjes3lHBzU8pNiGlSKVA49WOkOrUUD964w9HWCi9SZ8WuOuVx+M5FqNMkh8WLd+hbxAnlbNKIMsY8YhABUwjvtwANZi8JhJubYZMtalp3b28Ba0vxOwcPEjBvAhReI+eXwmskQDNt7uGhxMMngLWlQkYUHVJqkdXjKD6+eIgUCeLD3dsH76rWwO4PT2CdPAm+vvsAR4e0aBwvCxShQ3aRZBSThFcJFfwDACtLoLRDkPCe9PaHrQJQFS2P8XUL4P6Zc1BbW8DKX4M5NSm8oaddCO+Fi0poAizwyi3om1HZzA/huOUf7HrzCY4WWljkKoIVrWrixO5d+OyQUJ4z6e/mqG7nSOGN5PvIVM1MJbyTZgfi5UvDhDdTRi36d4+c8Aaq1chXsT0sLYMe361UKJAhnQP6d2mCUkVyI6LX5RdNjRaum/dj656TcHvrgUQJ46Ncyfzo07EhkiQyvBZ4825jIR5t/L/lY001XbLf7ftPo171Mia9Bjs3HQEKr5FsKbxGAjTT5m5uwOp1KlSraIGXblpkzaxG3vMTsOXkCWRQaeQTwiymzsPArYvhkzoRLH0DkLP833C1rxhlYhLThFejgYzylv8e4T0hIrwAEhSvAJc6BXD/9FlolUooVUrMq9aREd5Q7w2d8D57GvTlIVkSBQqneiCF9+b7j7BSAD5/FcKGNrWw6+opaCxVsPnoi3FV21B4Y+DnjLkI79EtM+Bgn1QK7tHTlzF88gpZvz5xovhSiMN7PXnSRBg/ew3OXrqNkf3aIHf2jHjn8QlzV/wPD5+8wtZlLrAW35AjOESdfFEq1MbaEu2b10T+XFkiahKp18UTWsvW741T2+dEqj0bRT8BCq+Rc0DhNRKgmTbXCa+tjQJfvwFFC2lR9dkEPPj3KOIrgPcawHvKAjhf344AOyvYePqiYMGiZiu8FgoVAtXA+UsaDKp9Q0Z4j3v7wwJalKzqhEblsuPBqbPQqJT4UCgDNjlUpfCGI7yeHy3kU/O8vIECKYKE96T7R3hqlXDIlR+b29bGwZOHYO3pC/9EdnCp3pbCGwM/Z8xNeHWI67cfgR7O9fF38bwhhDf06zmypEe15oPwv+UuyJwhjX6G1GoN6jkPR4v6ldCkToUIZ27qwo0QtfStrCxx6fp9jOrXRt9m6bo92LjjGJImSYhGtcphydrdOLJpunx98Zrd2HXoX/mLWvGCOTG4ezMZrS7u1A39OjXCoVOX8MrtPerXKINOLWuh5/A5OHbmihzr4in9kSpF0gjHxhNiFgEKr5HzQeE1EqCZNtcJb77cKvh81iJbFg2KXpuAo6eOw0IRlKqrmjoPvQ+tgtpCCYUWyFnOfCO8Fy8pICK84tAJr/abHxRaLdTl60jhPfnltaxeZqlUUXjDeF/oIrxCeHXR8qKpfwiviJbb5AqK8B48cVBGy7VKBcZXbk3hjYGfM+YqvHXaDcOALk1QonCuMIVX97qX9xcsXb8HO1eO/2l25q3Yjicv3DBjdPdfzpyQ4xotB2PbMhf5MKlarYdg39rJUn4fP3dDqx7jsWvVBCRKEE8K67OXb3Fg/RQprrOWbsW6+cNhZ2uDPqPmoViBHGjZoDJK1u6OxrXKy7QK9/efULXZAJzbsxBfv31D+YZ9ce3wshi4mjgkQwhQeA2h9ItzKLxGAjTT5jrhLZRfheRJFbCxDUS+CxNw699j8NIokFChgeeUBeh4eRssP3+FfzxrFCpQxGwjvOcv/sgp1Amv4pufnP3AcrWl8J7wc5N/WyqUFN5fCK/3Jwt9tLy70yMZ4T3h/klGy0sUL4lB9avg0PGDMlr+tmB6LLMvT+GNgZ8z5ia8AYFqHDxxERNmr8X+9VMQz84mhPCGfn3vkfMyBWL5jEE/zc6mncdw8MR/WDFz8C9n7tT569h58F9MH9VNnieepFq+VAFUKVsYm3cdx5n/bmLO2F7ytX1HL2DO8m1SeIdPXi7zjTs0rylfO3nuOlZu2g/XWUOk8C6fPgg5sjrK10o4dcOWpWPk/VB4Y+Ab6TeGROH9DVhhnUrhNRKgmTbXCW+xwipZ+/WrfyDqvp2Iw6eOy7qvRa3UuDZhIXofcJVi8j5nKpR1yBbjhFc87MHnM6BWywIKsFAqkDbt91Dt97l7EOCJ1z4fYW1nB/+vX5HYLgHyWybV18sSZckovMYvdF2Ed/9Bpb7slE544ekho+WBBctI4V3ldVdGd0XNMgqv8exN0YO5CK9u05pKqUTmDKkxuHtzFMqb7adNa6FfF3I8d8V27Fk98Se8IsL79OUbvciGx7/f6PkQ0iuiu+JQq9UoVjAn5k/oI9MXXrq9x9hBzvK1q7ceSiEWwtt1yExcv/NIRnfFodFokCxJImxZMloK78aFI5E+TVBZRN3fCeLbUXhN8Ub4g31SeI2ETeE1EqCZNtcJr5WVQtZ+zZpFg2aeE+F9/qis+xpfCRwftxDNXx9GoIUKgXZWqGyXLsYJ77MXCnzysMKLlxqkSqnA/SdqtGymDlH7dfeX55i2Zi58HBIhnsdnVKjfAKOTFoHiex0sCm/ULHKd8O478KOElE54lZ4e8iIBBUpL4XX9fF9/UQpv1PCP6l7MRXh1m9JC89FVaQjvdY+PXqjQqC82LRqlj6YGyacWdZ2Ho02jqmhQ8+9wsXt/9kWNFoNxfOtMfaUIcc0KDftix8rxOHD8Iv67dhczx/SQfew/dgGzlwVFeEdMWYGsGdOgdaOqP/VP4Y3qlR5z+qPwGjkXFF4jAZppc53w+voF/ZSfL0+Q8FpcPKK/YyG8DX3OQBcvjanCe/SICh4fgSSJFbC104QpvH0e7sXXxHZQqDVonyQ3hdcE65rCawKo0dhlXBdegX76os04dPI/uAxyRr6cmfHOwxPzV27Ho2evZZRVFz0Oa5o27jyG/67d+ykKLKK4ubJnQL5cWdB18AwZQY4XzxZdBk/H6zceQTm8/17FwlU7ZQqDSFXYvPsELC1UsuRYeMIryqSJ1y7sXQQ7W+toXDm8dGQJUHgjS+57OwqvkQDNtLk5Ce/9u5bw9NLC1lYBL5+wI7yjjq6B2soCNp++oFrVWhReE6xrCq8JoEZjlxReQJT6WrvtsMy3ffnmvdxcVrFMIblhLGF8u1/OTtOuLmjdsCpqVCwW4ryjp69g0ZpdMj1h6oKN2Hv0PFKlTIbaVUpi9ZaD2L9uijxfpDzsOHAGgYFqmc87bnAHpEieOFzhFSkOHQZMxZ0Hz7B4cn/kyZEpGlcPLx0ZAhTeyFAL1obCayRAM21uTsJ79KgFHFIo4P5eC0ursCO8w0+sk6XVRJS3bolKFF4TrGsKrwmgRmOXsV14oxGdwZcW6RHK74+3vHj1HqYv2oRNi0cZ3J4nmhcBCq+R80nhNRKgmTY3J+H1+WQlN6w9ea6Fp3c4Obyr5kCp0cIrbRLU+rsqhdcE65rCawKo0dilKYQ3IFCDE+cC8O2rYU9as7UD/i5uAUuV+T1a+KOnD6o2G4gNC0YgS8Y0sjKD2KQ2tFeLaJx1Xjo6CVB4jaRP4TUSoJk2NyfhPXPaAp+/AG5vtciaRRtmDu+Qi1sQYGuJLw6J0CFhTgqvCdY1hdcEUKOxS1MIr7gdtSbosdOGHqrvEVBDz/+T54lHBn/2/RrmJYXIivzbXx0iN1c8fEKj1iBnNkeMHdRePgGOR9wkQOE1ct4pvEYCNNPm5iS8rqtV+odGhCe8Xd4f188khdc0i5rCaxqu0dWrqYQ3uu6H1yWBmE6AwmvkDFF4jQRops2jQni9vBUIDPjx06SN1gcJNJ5ip0cQNYUSzxLFQ0CwnyPjQQUHi6DNHr5+wKq1Krx5E9SHrS3QuqUaaVL9iAA9DfBG87eH8ULtI8/JaJkQ6xwqw1GVQP4typJReINwr92gwoOHQSwVCqBtazUyOv5eNM2Y5U7hNYZezGtL4Y15c8IRmTcBCq+R80vhNRKgmTY3VniF3Fy+ooSlwgKv32qRPo0SKbUPkHb/FGx/7o4MVkq4p/8L59vVxoldO/EtdVLYvvRAv2ZdUNk2HUQJXApvVSRSWskVdvuuApu2BBWnF0eTyu4oeGQwVG7P5d+aJPbw7z4emjQZw12RFF4zfbNG021ReKMJPC8bZwlQeI2cegqvkQBjTXMR2QsVzQtrX8j3U6JCeC9cVOLeXRVevA7qtHO1oMfIPnj/AZkstAjMXxrDGlbB9ptn8Dl1YnnO4rRV9I+RpfBSeMWa4IMnYuaHDIU3Zs4LR2W+BCi8Rs4thddIgDG0+bUbCqjVSnzxBUQ5yNSpNXBI+UN4fdQB2OH3BO7v3sI6eVKo339CLcf8yGyRUN5RVAmvt6cFEsSHfLxvvuQPpPAed/8Eb60CKXLmx9Z2tXH42AFY+vojwNYKY5ycKbwA8lslw3oHCi+FN4Z+wACg8MbcueHIzJMAhdfIeaXwGgkwhjYXP1/nzGaBl680iB9PgUxZA0Lka35Sf0NT94P4uuuUfKRu4m9azKrXHXmtkkWp8L5xU8FCpYB/gBalMzyUwvvfu48IBBAvZyGsalML+84dhVKtRaCVCpPKtqDwUnj5aOEY+rkSfFimEF5Rd9bn8WMotGqDCCiUKsTLnAUxuFCDQffBk0jAEAIUXkMo/eIcCq+RAGNocyG8gf5KePloYaECatQIuUFJJ7zul29Aa6FCPEtrLPq7TZQL79cvFlBZAJ5eQNHUQRHeg28/SeFNmbsgNrSphSMH98oauN8S2GB85dYUXgovhTeGfq6YWni/BWjgPXkwLJ7dM4iAOnMeJBgwDtaW5leH1yAAPClOEaDwGjndFF4jAcbQ5kJ4RTF2x3QKvH2nRb78gWFGeD3OX4Otpy8sEsbHnNpdo1x4P7y3wBdfLW7d1aK7U1AO77/vPiG+QovcRUtiUP0qOHD6MALsrPAhu0OIfE3m8DKlgSkNMfQDxkQpDUJ4fUZ2g8XjWwbduDp7AcQfOTtSwttxwDScv3JbXif4E83E32d3zUeCcB4N/OK1Ozw+eqFgnmwGjdGQk4rV7IqdruPhYJ80xOm37j/FgDELcWB90OOEwzuMbR9evyVrd8fGhSMhHkvMI/oJUHiNnAMKr5EAY2hzIbzp06gQEACIql+OmcJOaXC/egtqCyUSKi2xsGzbKBfefQd+RF50wqv09JDUAgqUlsLr+vm+nmLwDUoUXgovhTeGfsCYgfAGJ1u+YR/McumJfDkzRwh81ZaD8PcPQMcWThGeqzshtFCHbhiesAaq1fD57IskiYLKLP6u8BransJr8FRG64kUXiPxU3iNBBhDmwvhTeuggloDXLupQf16Yac0eJ74DyIBLiBPRrhmrU3hBfikNROtadbhNRHYaOrWFDm8fzLC+yvhFU83c3vrgVH928rTdH9XLV8U/UbNh4WFCvWql0HvDg0xd8X/cPDERXlenr8yYUTf1ogfzxbdh85C1oxpsePAGYwd5IwyxfL+Uli7tKoN8WQ1X7+vaNe0Oto2robgEd6ew+cgV7YMuHb7Ed6++4h0aVJg1pgeUKmUEMJsTPtHT19jxNQVePvuA9KmSoGJQzsibSp7iAhvT+f62LDjGDw+eKJtk2ro1LKWvI+T565j5pItCAgMRLrU9vIpcPbJEuNX44ympWo2l6XwGjmVFF4jAcbQ5kJ43d0VMsLr9/Xnhwzocngfvn8NtaUKiRIkxNqUlSm8FF6TrWgKr8nQRkvHcVF4hQCPm7UGKe2TyAjvvqMXsHzDXqyZOwy2NlYYPG4xUtonRf8ujdF7xFx89PTG0mkDYWMdVE/7VxHaquWKYMyAdnjx+h3qOg/HvjWT8MHTW5/S0GfkPHzy8sGy6YOgVChQz3k4hvRsjpKFc0vhjWz7EoVyoZ7zCPRwrodKZQph+YZ9uHDlDpZMHSCFt0aF4hjWuyWevXyLuu2G4/zehfji6wen1v9gzdyhUupdNx3AlVsPMGdsL/xqnNGyUM3oohReIyeTwmskwBjaPKKHDOiE95b/R3kHyVQ2FN7vc8lHC5tmUVN4TcM1unql8Dph8PjF+CtzehmRFceZizdl1HPbMhcpfrmyZzAo9UEI69KpA5D3e0pF825j0aZxNaRJlTyE8BbIkxVtGlWV1+o1Yg7KlywgI83GtC9WIAfqtR+BC3sXyn4DAtUICAiAna2NFN5l0wYiZ7YM8rUSTt2wZekYXL7xAPuOnsfiKf3lv4uodHGnbrh6aBn6j1mA8MYZXWvVXK5L4TVyJim8RgKMoc0pvHy0cOilGdGaMPVSpvCamvCf7Z/C6wSx8a1GxWJSOsVx895T9Bo+G8e3zpLCW6pobjRyKhfhxAhhFZIs0gjE0WXwDFQsUxA5sjqGEN7SRfOgoVNZeY7oX/e3Me2zZ0mPviPn4sjmGT+NM/SmNd3fR09fwXzX7UgcLLf48xc/7Fk9UUbAwxtnhCB4wi8JUHiNXCAUXiMBmqi5Qjxb9/shRCH0Q9G00CLkOSGfohaR3DDC+2Pidn95ji7vj+v/gRFe0yxqCq9puEZXr+YsvCs27sOLV+8wekBQDu+spVvh5f1Z5vQGT2kQEd5smdKhfbMa8rzTF25g9rJt2Lp0TAghjWiOhLCunDlYH0lt0X2czJdNlTKZwcIb2fYlC+dCnXbDcGHvIijFfo6AQLx88x6Z0qeSEd7gVRp0f1+//RiHTv6HueN7/3RrwUU8tJhHxIGv/5oAhdfIFULhNRJgFDfXaoGXr5Tw9FRAVCmIZwcktfgAx48X4OftDTtrK/iprPBv/uy47+cFCztbBH79huwJkqOsTRr9aCi8jPCGXpoRrYkoXso/dUfhNTXhP9u/OQvvniPnsHHHMaydNwxfv/lDpBiICg5CeCfNWw8rSwv069wYB45flBva1s4bDmsrS/QfMx+ZHFPLjV6hxe9XsyOEV0SJh/Rojldv3qNO22GyFJm7xyeDhTey7RvU/Bt12g1HuybV5BjWbD0kxV2XwxuW8Ip0B5HPu27+cDimTSkj27sP/YuhvVr+dN+/w+HPruDYdzUKr5FzRuE1EqAJmt++q0CAnxVeumnlY4FT2L5BwSODsfnxa2RQafAhZQY87N8F67auh0/qRIj3/jPaNWoL5wR/6SPBEckNI7yM8LZtHbJyhwmWcoguKbymJvxn+zdn4fX76o8ew2bB0+szUqVIhswZUssNYy4DnXH20i30HjEP5Uvmx6RhnfVVGkSwonC+7PinZwvY2Vr/lvAWqd4Zvdo3wLa9p2QZsg4taqJZ3YohqjT8KnJqbPsHT15h5JTlcHP/AMe0DiGqNIQlvKIur65Kg/hCEM/ORm5sE7WJGeE13fuQwmskWwqvkQBN0FwI738XLeRT0lQqoHx+dym815+9QFqVFoGO2bCpSwfMu3QQvvYJ5FPKhmSvROEFkNEyIdY5VIajihFeRnhN8OZkl3oC5iS8nFYSiA0EKLxGzhKF10iAJmguhPfObQukS6OA+zstsqR4K4X35vOXeBqoRHrHDDjVqxPmXz6EBK894WsfHz3KNqDwUnihSZMx3BUZUdTfBEuZEV5TQ43G/k0hvAGBGngdOwCV3xeD7kwbLwESlK8inyrJgwTMnQCF18gZpvAaCdAEzYXwfvKwhL8/oFACKWyCUhr2P3kFUc1RldoRN/p1wcp9W6GxVEGh0aJTrRYUXgovhdcE70d2GTYBUwivuJJaE3IDbkT8VcrQW3ojavHnX58wZx3OX7kT5oWH9mqB4gVz/vlB8YqxjgCF18gpo/AaCdAEzYXwvntrCa0GuHJDg+rFg1IaDj15BRHHKJIlM1Z16YAVB7ZBq1Lifc5UGJ6xPIWXwkvhNcH7kV3+WeElbxIggbAJUHiNXBkUXiMBmqC5EN6Dh1QywisqNTSpHCS8Xq9ewApa2GbKjjkd2mPy6/NQW6gQaGcFl2TFKbwUXgqvCd6P7JLCyzVAAjGBAIXXyFmg8BoJ0ATNhfBu2qLS96wTXpXbc/lv6gxBwuvic11/DoXXR7LgpjXm8JrgLckuwyBgqpQGwiYBEmCE1yRrgMJrEqxGdUrhdZRP2hDR7VVrVXjzJihHz9YWaN1SjTSpfuT4PQ3wRvO3h/FCTeH17z6eEV6j3nls/DsEKLy/Q4vnkoDxBBjhNZIhhddIgCZoTuGl8Oa3Sob1DlWRSCm2KQIRrQlNEntQeE3wZmSX4RKg8HJxkMCfJUDhNZI3hddIgCZoHpHcMKWBEd7QaS4UXhO8EdnlLwmYQng1Gi0ueXlAA8MqNYjEr0KJUyAWFGrgaiIBowlQeI1ESOE1EqAJmlN4GeFlhPe+/p21zL48qtsFrQkeMYeAKYT3W4AGtR7uwzV/D4NutIh1SvwvS1VYW7IOr0HAeFKsJkDhNXL6KLxGAjRBcwovhZfCS+E1wUdLlHZpKuEtc387/vv2zqCxlrZJhSPZakdKeDsOmIbzV27L64jIsjJYmPjsrvlIIJ7rHsbx4rU7PD56ycfoRvYIVKuRr2J7tKhfGaIOr+44evoKdhw4jbnje4fZ9d2Hz9F31HyULpoHw/u0iHTzEgAAIABJREFUCnHO9TuPMXHuOqyZOwwvXr3F6OmrcP/xCyRPmggDujZFhVIF5PmnL9zAhDlr8f6DJ/LlyoLJwzrLc8QjgkdNXYnjZ6/C1sYaPZzroZFTuXBv8cTZaxg0bhFG9msDp0olIkQRnNut+08xYMxCHFg/JcJ2v3PC+NlrkDplcrRrWv2Xza7cfIg2vSfIc8QjobXaH/PfqkEVDOreLNz25y7dRkbHVHCwT/o7Q4uScym8RmKk8BoJ0ATNKbwUXgovhdcEHy1R2mVsF97gMMo37INZLj2RL2fmCBmt2nIQ/v4B6NjCKcJzdSeEFmohvEWrd5FSvWLGIGTOkEae+ivhvXrrIcbNWoMsGdMgQTy7EMKrVmtQu+1QzHLpgawZ06JOu2FoWLOsFOp//7uFfqPn4dT2uQgIDES1ZgMxbVRXFMmfA7OWbMGbdx8wY3R3zFm+DXcfvsD0UV3h/v4T2vSeiOUzBsn+wjr6jJyH4oVyyjEvnTYgQhbBuYn79/nsiySJgh4BH1WHkPY6bYdhydQBcEyb0qBut+45iUMn/5NtDDl6DJ2Nji2dDForor/Qc2/INcI7h8JrDD0AFF4jAZqgOYWXwkvhpfCa4KMlSrs0Z+Fdum4P3N56YFT/tpKZ7u+q5Yui36j5sLBQoV71MujdoSHmrvgfDp64KM/L81cmjOjbGvHj2aL70FlSFnccOIOxg5xRplhePX8hfEWqd8E/PZrj8KnLemH8lfCKCKmIxK7eckhGmINHePcePY99R89j/oQ+EH1v339ajs9CFVTesljNrtiyZAzuPHiG/+07pZc7IZ1l6/fG+T0L0KDDSIwb0kEvclPmb5D30a1t3Z/WjZf3FzTr5oK9ayahdpuhWD5jMFIkTyzP8/7si9HTVuL67cews7XGP71aQKlUhuBWuWxhfYRX9DVmxiqI6LWIstesVALd2tSRfRV36oZ+nRrh0KlLeOX2HvVrlEGnlrUQEBCI4VOW49qtR1BrNCiYOytcBjnDxtoKyzfsw8vX7zB6QNDcRXSEJbydBk5D3WplUKNiMdlc97ebuwfmrdyOlMmTYEDXJiiaP0e4Yxfz26mlkxzPsS0zJQtjDwqvkQQpvEYCNEFzCi+Fl8JL4TXBR0uUdhkXhVcIsIiyprRPIiO8+45ewPINe2Uaga2NFQaPW4yU9knRv0tj9B4xFx89vbF02kApYsEPIaUFq3TEtcPL0bDjSPRwri9TDiJKaRB9LFq96yfh7TtqnhTq+jX+/mmOb959gt4j5+LIphlS3D988sLQXi315wnhXT1nqBTXU9vnIFHCePK1zbuO49L1+5gyostPfa7fflSmRPTu0AALV++EtZUlnJvWkOeJtAIhuP/0bAFx7Y4Dp+Hk/2Zj6oKNem7BUxrGTHeVaQVCUD9/8UOTLmMwpEdzeT8la3dH41rl0adjQxl1rtpsAM7tWYhT569j8+7jWDZtoGw7fdEmVCxTCAXzZMWzl2/Rqud4nN4x16D1/jvCKwS4dtth8guM+DXgl2Ov1R31apTBgC5NoFBEzQYECq9BUxr+SRReIwGGav7NX4EvX378owJa2MVXwNryx65jL803fNL46/chK7WAo1UC6P6BwkvhpfBSeKP2kynqe6PwOmHw+MX4K3N6fc7omYs3MXPJFmxb5gLxk3+u7BnCTH0QwlugcgfcPLYSF6/ew6hpK7DLdQJOnb/xyxze8IS3UuN+mD+xL7JnThdiol+9eS+jkyP6tEaJwrkwa+lWGQEWEqY7KjcdgOmjuqFZVxdcOrBEirs4RGT6yKnLmDfh53ziJp3HYOKwTsiUPhXENcTP/DtWjpPtRH9zxvZEjqyO8m8vny9IlCBeiC8KwYW3QqO+mDOuF3JnD3pojuD3zT9ASq8Q3uXTB+n7KuHUDVuWjsE7j0/oP2YBRvdvJ9MqhHAHP0RkWMxBGofkES58Y4Q3orEvnNTP4NSHCAcKgMJrCKVfnEPhNRJgqOYfPyqwaasCxQpa4JWbFtmzKmDvEICkSX4I7/WAD+jsfgx2h6/BN1ViZHrjh4Vthhhcc5VlyViWjGXJovZ9y95+nwCF1wli45uI+on0AXHcvPcUvYbPxvGts6TwliqaO8yNX8GFV7QT0eA8OTIhY7pUeuEVecVC/ITMif50R1gRXhEtPrhhKuyTBaUViOP+45eyXyGO5Urml/+2ZO1uvHH/oE/VEP8mJHLjolEywnt0ywyZNiGOtdsO48adxz9FeB8/e426zsNhZ2ujv5av31dsWjQKObNlQKGqnbDTdTzSprIPsaiCR8aDC2/+Su2xZ80k/fkrNu7D/UcvMXl4Zym8GxeORPo0Qfm4wf8+eOI/bNhxVKZCVCtfFEN6tNDLevUWgzFleGfJNKLDGOGNaOwbFow0OJc4onGK1ym8hlCi8BpJyfDmHz4qsGadEokSKPH2nRYJEmjRrKkGyYIJryi50+LtIWifvsGXZHbIHS8l1js6UXgBBC9BxSet8cET4p3HsmSGf/78yTPNWXiFdL149SMPVERGvbw/S1EMLm4iwpstUzq0bxb0c76ogDB72TZsXTpGCq+optDQqexP0xJaeEWUtGkXF/Tu2ACnzl2XVRpEnq7u0Emo+Dss4S1QpSMOBRPel27vpIxP+Kej/Jlfdxw6eQnr/ncYq2b/I/9JpCVUaz5I5vA27DQKw3q1QtECf8nXxM/1Ij2jS+vaIcY/fdFmJExgFyJyLTakiZxnkcYgIrwzRnXTy+bTF29kpHVKOCkNIko626Wn/nzRv1qtlpUSfiW8ukGJnOH+oxfILxdtG1eT/2ys8HYZPAO1qpREzYrFZX8tuo+TGwBDpzT8ztij4r1J4TWSIiO8RgIM1VwnvHlzqmBnF1TuJFuOwDCFN97Ze7D68g0pEiXDyvp9KLwUXnhq/OWKYkoDUxqi9pMp6nszZ+Hdc+QcNu44hrXzhslyXc27jZU/TQvhnTRvPawsLdCvc2McOH5R5sWunTdcRmL7j5mPTI6p0dO5/m8Jr5gdIdWiv6wZ04Rbliw84a3YqB8WTPqR0tC2zyQ0qV0e1SsEbbrSHV98v6Ja84Eyelok31/yXj77+snSZIvX7MbVWw8wY3QPmabQru8krJ07DBnTp9K3F9UgKjbuhxUzB8t0Bt0hzhcpEce3zcLEOetkZNploDPuPXqO9v2m4MT/ZstUBR234BFel5mroVFrZA6vSH8Q6RLi/xcvmDNc4RWpH+ILiG5D3YgpK5DZMbU+tUSkNIgvHaGjzGG9C8KK8I6athJJEyeUOcpis2A95xEYO6i9FF6xua9Px0YoUywPfmfsUfEOpPAaSZHCayTAcIQ3QzolPnwCkiTWomw5dZjCa3nzGb4lskU2RXysLtGGwkvhpfAWKI1B9avA9TOFN2o/maK+N3MWXr+v/ugxbBY8vT4jVYpkyJwhNT55+UiJO3vpFnqPmIfyJfNj0rDO+ioNYvNU4XzZZZRT7Mj/nQivmB2RFlCj5RDk+StjmMIr5HTjzmPQaDQykKJSqdDIqSyG9W6FnsPnyPGITWtCPqs2GwhLS4sQkz5tZFdUKlMI56/cwZjpq/D+wycUFtI7tBMSJ4ovKx+Mnu6Kw6cuyXSFvp0aoU7VUiH6OH3hJibNWyerM4Q+6rcfgV7tG6BAnqyynq8ooyaqPIgNcqWK5A7BrXXjqj+qNPh8kePRVWkQtX/bNgmK1IYX4RXl3IZNWoYHj19CoVRKZuMGt5fjfv7KXUZkT++YY9BmsbCE99HT1xjgslDOoygZ5+3zBZX/LgynyiWwYNVOuG7aL2XYqXJJg8ceFe9ACq+RFCm8RgIMR3grlLGAqAjzzkODvPnDjvAm33MZSo0WiTOkg2uN7hReCi+Fl8IbtR9IJuzNnITXhJj+SNdig5kQVVGWLK4fKzfux5MXb2QlBXM7KLxGziiF10iA4Qhv0iRK+PoCX79p0Kpl2Dm8eOyGAFtLZE2fCesdDM/X5KY1blrjprWofd+yt98nYArhDQjUYPnbu/DRBhg0oCRKa7RxyA5LVdx+tHBAoBq12/yDueN6ywdTxNVDpFKIzXeLp/RHhnQOZoeBwmvklFJ4jQQYjvB+/BRUd09UZwhPeCObr0nhpfBSeKP2fcvefp+AKYRXjEKt+fH+NmRUqmCPBDbkfHM9R6QQiI1hoqaupUXQAyfi2iEemeyQIqmsCSw2y/UeOS9MBCL/WDyVLrYdFF4jZ4zCayRACi803xlUtksHV/uKgCKopPCFi0rsO/Aj8tLd6REct/wDpaeHbBEQwc/XrNJgeNRfk8Qe/t3HQ5MmqJZlWMfaDSo8eBj0RUzUQW/bWo2Mjr8nF8a8W6JiTRhzfbaNWgKmEt6oHSV7IwHzIUDhNXIuKbxGAqTwUnjL1Uajctlxws9NrgZLhRKbHKqimHVQ7Uhd5Q5d1D9TBg2cE7vCZv8a/eo5N2w6mmtuMYeXObxR+4Fkwt4ovCaEy65JIAwCFF4jlwWF10iAFF4KL4XXoDcRI7wGYYo1J1F4Y81UcaBmQoDCa+REUniNBEjhpfBSeA16E1F4DcIUa06i8MaaqeJAzYQAhdfIiaTwGgmQwkvhpfAa9Cai8BqEKdacROGNNVPFgZoJAQqvkRNJ4TUSIIWXwkvhNehNROE1CFOsOYnCG2umigM1EwIUXiMnksJrJEAKL4WXwmvQm4jCaxCmWHMShTfWTBUHaiYEKLxGTiSF10iAFF4KL4XXoDcRhdcgTLHmJApvrJkqDtRMCMRJ4f3o6YMh4xfj7ftP2OU6Xj+VTbu64N7D50FFNgEkjG+HU9vn4N6jF/K53gfWT/lp2im8UftOCF2Cig+eYB1eliULeo9ReKP2sya6e6PwRvcM8PpxjUCcE94vvl/RrKsLypbIj5Pnr4cQ3pqthmC2S8+fHi1I4f1zbwsKLx88wTq8Yb/fKLx/7nPoT1yJwvsnKPMaJPCDQJwTXl+/r/D46CX/N3r6qhDCW7Z+b2xaPAoO9klDrJHgwiueud2h/xT8XTwf2jerAUZ4o/btROGl8FJ4KbxR+6kSM3uj8MbMeeGozJdAnBNe3VReufngJ+EtUKUj/i6WF+K1pEkSol+nxihbIl+IlIYxM1ZBrVbDZaCz7IrCG7VvDgovhZfCS+GN2k+VmNkbhTdmzgtHZb4EKLzfc3g1Gi1GTFmOSn8XQumieXHm4g0MGrsIu1ZNhJf3Z5nD265JNRw6eQmLp/aHhUolV4VaI35o5BFVBF64qbFwmQa6x8iKHN6uHZRInzqItzhOfXqD+i/2h3iM7N7MtZDSxkbmOZ65GIC1G4LysMXRrIo78h8eDJXb86A5y5Ad8zp1wGiva/pzJqQogf6p8kKlVMA/UIN5S9S4/zCoD5HS3am9FgVzWerPf+P3BdWf7MUt/4/y35KpbLA1fTWUSewg/777KABLVgC+fkF95MujQXOvSVBdOKzv48T4hWjgfUa/aa2KXTrsyFQdVpZKua72HwvE7r0/7qNHrUdIv/kfKD09ZB8BBUpjSMMqWOF9X9/nqlQV0TxlVjnmj14azFmsxps3QX3Y2gKd2wM5Mlvoz7/p8xF1nu7HC7WP/LeMlgmxI0N15IqfRP597U4AFi9XQKMJapI1ixY9O6lgbRmUW6zVAqvdH6L9m6P6PjsnzolZ6UvDUqVEoFqL9VsD8e/5H/cxpM5NJFs5GIpvfrJNYBib1ranrY5qydPJ10OvCfFo4Q5JVsFq32r9NS+MmIGmgTcjvSY0Sexh0X8y4mXJqu8z+P8xZE2E2TAK/zEq1kQUDoddGUlAfNbwIAES+HMEKLzBNq2Fxu7cdzLq1/hb5vS27DEOSqUS5UsVwORhnfWnunt+/XOzFQeu5OEBrFqrDCG8bVppkDzZj5u/6ueBZm8PhpCbjamrIbHKSp5087YCGzf/2OzVpLI7Ch4JKbxzO3TAGJ8fwjs2WXF0SPQXFApFkMStU+JBMOFt11qDzJl+fLn5GPgVjd8cDCG86xyqIL9N0EBfvQq6j+DC28xzEiwu/hDe4+MXomEw4a1slw6rU1aCQilEUouz55XYd+D3Nq0tT1EBNeI7SuH94gusXK0MIbyCZbo0P+7jsb83mrkdCiG861NVluIrjidPFbKP4MLbuoUGSt2wtMCOz8/Q5d1x/QR1TJQTY5IVhVIMQgvs2afEuYs//uM+qPZN2Lv+Wng3OVRDSbuUss/Qa0IIb/vErrDev0Z/zfPDpqOZ5lak14QQ3oCeE4C0GcN8lxmyJkz99oyKNWHqMbJ/wwmkTGxj+Mk8kwRIwGgCFN7vwuvr9w0PnrxE/lxZ9FBb95qAFvUrwzFtSjj3m4xtS13g3G8K+ndpjEplCsnzmNJg9BoM0QFTGmJ+SkOrZmogWHBq95fn6PL+h/B2SJgTo5MWgeL7SfsOqHA+hPDegL3rkF9GeDc5VEUx6yDhZZWGoLcIN61F7WdNdPfGlIbongFeP64RoPB+F17vz76o2KgvZo7pgdJF8+DMxZsY6LIQe9ZMwvsPnvqyZFduPkTfUfOwfcU4JE2cgMIbxe8YCm/MFt4yxfxR8/MSPHjwAI7xbPA0UInbbVuii/d5/Uqg8Ebxm+J7dxRe03CNrl4pvNFFnteNqwTinPAeOX0ZA1wWyuRDUXHB0tICGdM5SIE9feEmpi7cCPf3H5E2lT0GdW+GYgVy/FSHd/L8DXjj/gGzXHpQeKP4nUPhjdnCW7aEP6pf7489t+7C0UILZfzEuDdyDIU3it8HYXVH4f0DkP/gJSi8fxA2L0UCYj+OViSG8Yg0AaY0RBpdmA0pvLFDeB/du41kKuCBdRK8Gk3hjdp3Qdi9UXj/BOU/dw0K759jzSuRgCBA4TVyHVB4jQQYqjmFN3YI7+k7d5FAoYVlAkZ4o/YdEH5vFN4/RfrPXIfC+2c48yokoCNA4TVyLVB4jQRI4dWXJRNVGlztY4fwHr59B2KPuVX8xHg1hhHeqH0XMML7J3hG9zUovNE9A7x+XCNA4TVyxim8RgKMJcLbu5UHktt+1o/2o40Fmny5GKIs2dqUlZHXKqgsmZubKG2mClWWbCIsLh7R93F83EI09PlRhzc2Ce+pO3dhAS1K2yfBlsGjmcMbtW+DMHtjhPcPQP6Dl6Dw/kHYvBQJMKXB+DVA4TWeYfAeYmJKg6g5O6zWJRxe6IIMlgo89tegbOv2aJRRE2eFV/n4lsiHgjZRcgpv1L4Fwu2NwvuHQP+hy1B4/xBoXoYEvhNghNfIpUDhNRJgLIjwCuEdWvMCXvyfvfMAj6pY3/h7zm4q6SEQagBBiiJNigiKIk0QFUGKgghYEbmKlyJXRSxgwfu3XawQqnrRKzaKgqKAQFQ6hioQIRAgPSSk7J7/M7PsppCQs3t2N+09z3Of6y4z38x5Z86cX7795pt3ZqCVj22PZ+rIRzC0hbnGAq/5yF6pgzUkksDr3keAwOslPSu6GQJvRY8A269pChB4DY44gdeggFUIeP98ZyZ8oKG2qiHw3ocJvAReNI3xXpIbenjdu9ZUtDUCb0WPANuvaQoQeA2OOIHXoIBVCHi3vjUTEaqGXA248r6HCLwEXgKvex//GmWNwFujhps3WwkUIPAaHAQCr0EBqxDwbnlrJgoAhCsaWhB4GdIwxkLgde/jX6OsEXhr1HDzZiuBAgReg4NA4DUoYBUC3j3vzESQoqGDjxVJIxjDK4aOMbwMaXDvClBzrBF4a85Y804rhwIEXoPjQOA1KGAVAt6wD6Y7ekvg5aa1sfTwuvfhr2HWCLw1bMB5uxWugEeBNyMrGyFBgZe9ybT0LNz/xFx8ueDFChfDlQ4QeF1Rrew6lTUtmcjSQOAFbrwuDwN2TQGzNAClA69SYnK7zwPMTWvuXWsq2hqBt6JHgO3XNAU8CrxX9RqLVs0bo3P7VujSvhWubd8KmVnZiNsRj9YtYuS/EXg9NOU0QDl1DBfOnkagvz8u5ObCLywC1sYtPNSge8wSeKvGSWsE3kuBN82aixdSfsfxgwdgbVAbwX+nYmqX23CVb4RbHg4Cr1tkrDRGCLyVZijYkRqigEeB98vVG9G7Zyes3/gH3o1dKb29iqJI0G15RSOMGdaPwOvBiWba8j3+9/6/0cRkRaJFxW3DRiH/1tFQSjqhPNgHZ00TeAm8PoqKz6L7oatfXTl9Ss6JZk2sGBcWC//VSxzTa8vMeRhl3Ys0a578rr1vJJZH90Oo6is/74tX8NkKk6P88D5J6LhuGkyJx+V31vAo5E18CdYGTcucsks/MeHgIdvDI56hkh7eVEsuRiStRdbaLciKDkGw6ov/3DTWcfqes89CyfIEXqMKVq76BN7KNR7sTfVXwKPAa5cvbsd++Z9dOrSCCHNYeRGEG0TXJvB6cI4J4N390Ty09bHCXwHyBo0h8AKwNGmJtyaMx+zMXQ71Z0d2w7jgVrD/LVAUbuwHTzCkgSENeoD37G+7YfFRobRsjMWNBhB4PbjGVWXTBN6qPHrse1VUwCvAKyB35pwPceeAnri5R0ep07sLv8TE++8k8Hpw1gjg3fjhG8jRAOHnumnoPQReAi8a1CuMKz2an4FRp39AgiVTzsSmPiFYFt0HMaZg+flYgoLYxSZYrbaJyhje8j282as243ydYNROOo/X73uKwOvBNa4qmybwVuXRY9+rogJeAV4hzMnT5zD37WX4cfMO1KsbiUVvzgA9vJ6dMgJ4j3/8OsJUG+CE3U4Pr9CBHl4CrydDGpJ/3Q5NVVHL7It3+j9A4PXsMldlrRN4q+zQseNVVAGvAa89nrdk1gZuWvPczBHA+9/3/g0LFDQ3WdDlrnvp4SXw0sMLwJPAm7J5O6wmFfmdr8TSun0IvJ5b4qq0ZQJvlR4+dr4KKuAV4BUxvO/GfokZk+6RG9aKXgRez80aAbx/LZiHWtDQ2KwxhvfiBiV6eOnh9STw7ss5B01VEGkOIPB6bnmr8pYJvFV+CHkDVUwBrwCv0OTpOR/KrAwEXu/NEAG8fotfczTITWu2HfkEXgKvJ4F3b16KnGeRJn8Cr/eWuyrXEoG3yg0ZO1zFFfAK8O4/nIDFK9bKHLzxhxNkDt6JY+9gHl4PTx4Cr03gknBD4CXwEng9vPjQfLkKEHjLlYgFqIBbFfAK8NpTkXXp0FpCrgDg4KBAblpz61BeaozAS+BdtNSEU6dsmQUCAoAx91oYw+vhGF56eD28sFUT8wTeajKQvI0qo4BXgLeoGgJ+xUEUIkWZuBjD67m5QuAl8BJ4vX/wBIHXc2tadbJM4K1Oo8l7qQoKeA14uw58RIYydG7XUv7/iVNnedKah2cIgZfAS+Al8H4UdRMGBMbAcaqKh9cdmtenAIFXn04sRQXcpYBXgFeEMGRkZqNBvdqI2xGPJZ9/j7dfmsyQBneNYhl2CLwEXgIvgZfA6+GF1kXzBF4XhWM1KuCiAl4BXhHGsGTFWnmymriKhjUwpMHFkdNRjcBL4CXwEngJvDoWywooQuCtANHZZI1WwCvAKxQWB08Iz64IZxAb1jq3a4XePTsyhteD04/AS+Al8BJ4CbweXGQNmCbwGhCPVamACwp4DXhF38TxwidPnUNIcKAjHy89vC6Mms4qBF4CL4GXwEvg1blgerkYgdfLgrO5Gq+AV4BXxPDeN3mOzL0rrt49O8n4XXEReD03Bwm8BF4CL4GXwOu5NdaIZQKvEfVYlwo4r4BXgFd0S8TthgQFyh6K8IYG0VHo0qEVgdf5MdNdg8BL4CXwEngJvLqXTK8WJPB6VW42RgXgFeAVoQziaOGuHVqjc/tWUvb4Q8eZlszDE5DAS+Al8BJ4CbweXmhdNE/gdVE4VqMCLirgFeAVfRPQK1KS/bZzP+J27seiN2cwLZmLg6a3GoGXwEvgJfASePWumN4tR+D1rt5sjQp4DXjjduyXeXjtsbuLV6ylh9fD84/AS+Al8BJ4CbweXmhdNE/gdVE4VqMCLirgFeAVsLt+0x/Su6soiuzqtImjGMPr4qDprUbgJfASeAm8BF69K6Z3yxF4vas3W6MCXgFeIfO7C7+U2RnqR9dGZlY2szR4Ye4ReAm8BF4CL4HXC4utC00QeF0QjVWogAEFvAa8IjVZq+aNZVdFPC/TkhkYNZ1VCbwEXgIvgZfAq3PB9HIxAq+XBWdzNV4BrwCvgN31G/+QJ6yNGdZPpiXr0qE1N615ePoReAm8BF4CL4HXwwuti+YJvC4Kx2pUwEUFvAa8GZnZ+G1nPCbef6fsKjetuThiTlQj8BJ4CbwEXgKvE4umF4sSeL0oNpuiAoB38vAKpSfNfBOZ53PkaWsCfjOyzuPOAT158IQHpyGBl8BL4CXwEng9uMgaME3gNSAeq1IBFxTwiodX9EuctCY2rtljeWdMukd2l0cLuzBqOqsQeAm8BF4CL4FX54Lp5WIEXi8LzuZqvAJeAV4Bu0s//x73Du3rOF7YrjyB13NzkMBL4CXwEngJvJ5bY41YJvAaUY91qYDzCngFeEUeXhG/e8eAno7sDARe5wfL2RoEXgIvgZfAS+B1duX0TnkCr3d0ZitUwK6AV4BXNCZieEXM7rXtWxXz8tLD67nJSOAl8BJ4CbwEXs+tsUYsE3iNqMe6VMB5BbwCvMLDu//wcZl/137a2qP33YHePTsyhtf5MdNdg8BL4CXwEngJvLqXTK8WJPB6VW42RgW8l6VB5N5tEB0ljxMWl4jrDQkKJPB6cBISeAm8BF4CL4HXg4usAdMEXgPisSoVcEEBr3h4Rb9EhgZ7DK+AXxHeIC6GNLgwajqrEHgJvAReAi+BV+eC6eViBF4vC87marwCXgFeEdLQoF5tedqaOGlNfA4JDpRHDRN4PTcHCbwEXgIvgZfA67k11ohlAq8R9ViXCjivgFeAV8TuCtjNzMp2nLQmPL7i1DUCr/ODprcGgZfAS+Al8BJ49a6Y3i1H4PWxfr33AAAgAElEQVSu3myNCngFeIXMc95eht93HUDvHh1l/O7N13eU8bxlAa84oEIAsrjqR9e+JJ1ZZRm6xOScytKVS/pB4CXwEngJvATeyrlEE3gr57iwV9VXAa8Br5DQno+3c/vWjs1rJYFXgK6A49KuRW/OqHQjQeB175AkpyhYskxFSqoiDUeEaxh9rxWR4ZqjoZ1553DP6e+RZs2T37X3jcTy6H4IVfXBjaVJS7w1YTxmZ+5y2Jwd2Q3jglvB1iqw9BMTDh6yfVJV4OmB2xD2wXRH+aQRj2BoCzP25qXI7yJN/lhatw+u8Y2UnxMTgcXLTMjOsdlo19aKkWlzYI5b57Dx04vzMTRzE6wXv+kT2AixUb0hOiHudlucilVrVEf5iYMOI2bFDKhp5+R3+R16YOqQvojNOuAoUxRusnMAAq++OWENj0LexJdgbdC0zAlddE4oCjB2jAVNYwrnZaolFyOS1pY5J4w+Ke6YE0b7wPruU4DA6z4taYkK6FHAK8ArIPYxkYe3fw/pre3ds5MjF29J4F28Yq2M8y15CRvxh447NrvpuTlvlCHwuldlAi+B10dR8Vl0P3T1qysnV8k50ayJFePCYuG/eolj8m2ZOQ+jrHtd/iOIwOve55jWyleAwFu+RixBBdypgFeAV3RYxPE2iK4t+y6yNHTp0Fp+Lg14RTYHkbKs6EXgdX7YGdJg02x4nyR0XDcNpsTj8jM9vIVeyaP5GRh1+gckWDKlNk19QrAsug9iTMHy87EEBbGLTbBedEPfeF0eBuyaAvORvfLfrSGRWDFtFh7O2OqYoBNC2mBWRGcoF/3lq9aYsDXO7jsHpg7ejajY6VBybeFABb0GY1ivltiQkyg/E3hLf9bp4XV+DazMNQi8lXl02LfqqIBXgFfE7C79/Hvp3b25R0ep45IVa0vdtGYPaRDxvvYrqFYA7ujfAzMm3VPpxoAeXvcOCT289PASeAm87l1VKqc1Am/lHBf2qvoq4BXgFRAbtyPecdKaAGARj1uah7eo1MIrHBwUeIm3tzINB4HXvaNB4CXwEngJvO5dVSqnNQJv5RwX9qr6KuAV4BXyiTCG1i1iZO7dolfJkAYBw6+8sxzrN213ZGkQdexHEVe2oSDwundECLwEXgIvgde9q0rltEbgrZzjwl5VXwU8CrzCsyvCGIrG4wqv7clT58rM0iDy84pNbUXBWEDwytUb0ap5jKNeZRkSAq97R4LAS+Al8BJ43buqVE5rBN7KOS7sVfVVwKPAu37jdqlcqxaNMWnmm2hQL0rm4RUwK6C3d8+Ol2xaK3rscFHZ7dBbWgaHihweAq971SfwEngJvARe964qldMagbdyjgt7VX0V8Cjw2mWzn7QmPLci7Zjw/I4Z2q9M4F25ZpMMf7B7huMPJwCahpdmPFDp4nkJvO59OAi8BF4CL4HXvatK5bRG4K2c48JeVV8FvAK8Qr6SoQx2SUs7aU14c/cfSsBvO+PlprXKGMpg7z+B170PB4GXwEvgJfC6d1WpnNYIvJVzXNir6quAR4FXgGvi6XPIyLQdESyOEhbgKzI23Dmgp/yurKOFS0oubImrZH7eih4aAq97R4DAS+Al8BJ43buqVE5rBN7KOS7sVfVVwKPAK+B27tvLELdzvwxRsMfvtmzeWG5CE/G4eoFXxAMLb6+A5sp0EXjdOxoEXgIvgZfA695VpXJaI/BWznFhr6qvAh4FXrtscTv24+TpszLN2G8790N4ayeOvVPCa0ngfXrOh/hq7eZSFV/47+kEXifmIk9as4nFk9Zsp5wFBABj7rWgQT2etFZyTvBoYScWFhZ1iwIEXrfISCNUQLcCXgHeouEI4r8F+NqPGS4JvAKOxVXSk1vW97rv1EMF6eF1r7D08NLDSw8vPbzuXVUqpzUCb+UcF/aq+irgFeAV8gnPbZcOrWVKsvhDxxESVKvULA1lxeq6M4Y3JS0T0196H6fPpuLr2Jcco5tw8ozsp+ifAPLZU8eh/VXNZVaJfzz7DtYsf/WSmUDgde/DQeAl8BJ4CbzuXVUqpzUCb+UcF/aq+irgFeAVsbwiZldcIp73910H8NYLj5cKvJ6W+nz2BYx8ZDZuvK49ft66qxjwjp70Eq7v3BbjRw3Ez1t24uW3lmLtJ6/jyLGTBF5PD8xF+wReAi+Bl8DrpeWmQpsh8Fao/Gy8BirgFeAVHlKRqcEeplD0s95Na+4am+ycCziXki7/N2veIgfwJqdmoP+of2LLt/+B2WSSzQ194DlMmzhSbpaze3jzCyyYMOVV3NCtHcaPvBX08LprZGx2CLwEXgIvgde9q0rltEbgrZzjwl5VXwW8ArxCvjlvL4OiKDJTg7hE2IAzWRrcPQTb9xwsBrzb9xzC7DcWYeXCFx1NPTV7Prp2bI22rZo5gPf5NxbBYrFg9j/HyXKnUy64u2tusSe2JZm2rIXvotcc9vIGjYFl4Bgotj1MlfI6lwIsXqoiJdXWyYhwDffda0VkRGF3d+Sew6jTa5FmzZNftveNxKf1+iNU9ZWf98Qr+Oy/qqNC6ZvWJmB25k5HmRciu2F8cCs5R4V2S5arOHjI1gdVBZ4euA1hH0x3lE8a8QiGtjBjb16K/C7S5I+l0X1lX8R1ItF2H9k5Nhvt2loxMm0uzHE/OGz89OJ8DM3cBOvFb/oENsKiOrfI8dGgYcs2FavWFN7HxEGHEbNiBtS0c7JGfocemDqkL2KzDjhsflTnZtwaGCNtZOcAC5eoOHWqcNOa0LJh/cJNa0fyMzDq1PdIsGRKG019QrA8ug+amEPk56PHFSxcrMJ6sZM3XpeHAbumwHxkr/x3a0gkVkybhYcztjr6MCGkDWZHdoECW7vfrlaxNa5w0k0dvAdRsdOg5ObIfy/oNRjDerXEhpxE+dkGvP1xnX9d+bnknGjWxIrxYbHwW73E0ebWmfMw0rrX5TkhN6099jLQoKnDZtH/KDknhL73j7GiWZNCLVMKLmB40toy50Sphp340h1zwonmWNTDCkRH+Hu4BZqnAlSgqAJeA17RqDg2+MdN22Uc7+hh/WROXW97eO03XxJ4f/19L9788At89v5zDn1mzv0IV17RCF07tJbAe//w/vj+59/x/mtTHF5gq1b4wqtMU8uqARnffwN1QWHcsfX2+xA0fDzMpspLvMdPWjD/I2sx4H30ARWN69u87uL6JeUU7kxYXQxuVjW/DXX9/SWsbozLx9Llhfc4sm8S2v8wDabE47K+pUlLvPPgBMxKLwTeOXWuw5T618CkKsgrsOLt9y04UAR4Zw7ahtD3C4H3zMhHcFfz4sD7ReP+6BkeLduIP5SP9xcI6CwE3lHpc2HaVgi8G16ej7vSC4G3b2AjfHXFAPj6qLBYNaxeX4Cvvyu8j8duO4zG/y0OvNOH9sWCjELgXVS/N+6p20ICb0q6FW++ZykGvA+NB9o0Nzu03J2RgtuPri4GvF81HYCrgsJlmR378vH+x8plgfeL6bPwYHoh8D4U1gZvxvSAj0lFgUXDshUF2Ly18D6m374HkQsvD7wrGw5A/6hGsg8l54QA3gnhi+C7arHjPrY98wZGFOxxeU4I4DVPeQVBLVqU+hiXnBNC34fGa+h4tY+jfGLOeQw48l0x4C06J4yuD+6YE0b7wPruU0CtzJ4H990mLVGBSqOAR4H33YVfyvy717Zv5TgwQsTziiwNAnrFVVmAd8feQ/jXKx/juyVzHYPz+DNvoWfXa6SH997HXoSqqrjp+g54ZeZDhS+5ZJuXqjJeTEtmGxWmJWNasn3C67+i8I8mpiWrjCtWzeoTQxpq1njzbiteAY8C732T58hsByJmV/xU3Ll9K3Rp3wrCKZqRdV6etlZZgDc1PRO33D0Fm79+B/5+tp/GB46ejhemjkNggD/GPfkKvvhwNsY9+SqmPHw3bunZSZZhDK97JzFjeBnDyxje0p8p8evFtjgXwlyibsKAwBhcjDBx7wNLay4rQOB1WTpWpAIuKeBR4BXeXHu+XZFW7Lcd+xG3M14C8IxJ90gvb2UBXqHe+CmvotM1LfHAPYOwdkMc3vzoC6xe9goOHy3M0iBifZ947h18ueBFRIQFE3hdmnZlVyLwEngJvAReNy8rldIcgbdSDgs7VY0V8CjwlqabAN/1G/+Q3l1xeRt41238A2IzmnAzi4wLPj5mNG0ULQH2VFIypr30PvYdOIZG9evgpekTcFXLJpfk4X3l3U9k2f+b/RiB180PB4GXwEvgJfC6eVmplOYIvJVyWNipaqyAV4BXQO5YEd5QL0qGNAiv74lTZys0S4O7xpQhDe5S0maHwEvgJfASeN27qlROawTeyjku7FX1VcArwGuXT4QyxO2Ix/pN2ys8pMFdQ0rgdZeSBF6Rliw2isBL4CXwundVqZzWCLyVc1zYq+qrgNeAd/3G7WjVorH07gqPrzh5rSLz8LprSAm87lKSwEvgLZqHtx+6+tny8Jb0+ou0ZOPCYuFfJA/vlpnzMKpEHt7l0f0cuZnLy9JgqdMQCU+8hOygYNmmyLUd5OOLumqgY6/X0k9MjtzMIqPU2DEWNI0pTEuYasnFiJJ5eOv2wTUXczMbfVK4ac2ogpWrPoG3co0He1P9FfAK8Mbt2I/1m/6QsbBZ53PkyWWj7+pbIUcLu3tICbzuVZQhDfTwVoSHV+Rmnv/gg/h443ew+PnALy0b4waOwJigKwm87n3Eae2iAgReTgUq4F0FvAK84pYWr1iLLh1ay8wMwsMrDp0Ql7c3rblbXgKvexUl8BJ4Kwp435owHv/Zuhr+mRdwITQAj/e4E+PE6XsXpzg9vO591mu6NQJvTZ8BvH9vK+A14LXfmEhVdvLUOXTp0IrA6+HR5sETNoF58AQPnig3pKFJSwjgffWvjbgQZTtWeXZkNwKvh9eommyewFuTR5/3XhEKeAV4hUdXHNMrvLq9e3RE/ejaEnp79+xID68HR53AS+BdtNRU7GjhMfda0KBeYdzp0fwMjDr9Q7GjhZdF90GMyRbLeixBQexi02WPFl4xbRYezig8WnhCSBvMiugM5aJvdNUaE7bGFR4tPHXwbkTFToeSazulsKDXYAzr1RIbciowhvci8H6w8VvkhAUi4vAZ3D/8fgKvB9enmm6awFvTZwDv39sKeAV4RQzvydNn0SA6Ssby/rZzPyaOvZPA6+HRJvASeAm8tlMT9Xp4529djdwQfxT4+WB66z4EXg+vUTXZPIG3Jo8+770iFPAK8JY8bKLojTKG13PDTuAl8BJ4nQPeBWu+gGrVkBvsj4m9hxF4Pbc81XjLBN4aPwUogJcV8Brw3v+PuTKUQRw80bl9K7l5TVwEXs+NOIGXwEvgdQ54RUhDfoAPkltGM4bXc0sTLQMg8HIaUAHvKuAV4BUhDZlZ2WhQr7Y8eEKENNzRvydDGjw81gReAi+B1zngnZ25y/FUctOahxeoGm6ewFvDJwBv3+sKeAV4ix40UfIO6eH13JgTeAm8BF4C70dRN2FAYAwc+dU8t+TQshMKEHidEItFqYAbFPAK8IpUZHdNeFaesibCGUSmBvH/DGlwwwhexgSBl8BL4CXwEng9u866ap3A66pyrEcFXFPAa8ArQhnEwRP7DyUgbme8jOG9c0BPxvC6Nm66ahF4CbwEXgIvgVfXcun1QgRer0vOBmu4Al4BXqGxCGsQcbziWGEZzxtdmx5eD08+Ai+Bl8BL4CXwenihddE8gddF4ViNCriogFeAV4Q0LPn8e+nVFf+LP3QcIUG1uGnNxUHTW43AS+Al8BJ4Cbx6V0zvliPweldvtkYFvAK8QmaRqeG3nfGI27kf+w8n4O0XJ8vjhblpzXOTkMBL4C0JvPeNLkD9eoWnnh3NS+dJawAsF09aY5YGz61HtFxcAQIvZwQV8K4CXgPeorclgJdHC3t+oAm8BN6iwBsaomFSv304tOMXWDUNZpOKgF43YGT+Xh4tTOD1/ILEFoopQODlhKAC3lXAK8ArAHfO28tk7O4tPTvJOF5N0zBmWD96eD043gReAm9R4A2PAB5vtwo7Fs7DOauCMBWo99S/MCI4icBL4PXgSkTTpSlA4OW8oALeVcArwCtieFeu3og7BvSUB08I8BWwKy6GNHhuwAm8BN7SgPf8ktcQoUJ6eY9OnkXgZUiD5xYhWi5TAQIvJwcV8K4CHgXe9Ru3o3OHVggJCnRkabBnZ7DfJoHXcwNO4CXwlga8Zxa9hggTpJe34IlnCbwEXs8tQrRM4OUcoAKVRAGPAu+7C7/El2s2yYMmZky6R0KvuAQAE3g9PwMIvATe0oB3f+w8hKkaTlsU1H7qGQIvgdfzixFbuEQBeng5KaiAdxXwKPCKuF0BuvbLfsSwOIBCpCcTFz28nhtwAi+BtzTg/WXBGwhVAF9FQ/AUAq+YJTUmS4MCJCcr0IosO7UCNQT4e24douXSFSDwcmZQAe8q4FHgFR7eifffeckdfbl6I3r37CQ9vQRezw04gZfAWxrwblrwBlQAXXwtOD35OXp4axDw5lwAvvjShKaNTKgVCOQVAA0b56N+dFEE9tyaRMuFChB4ORuogHcV8CjwPj3nQ7w844FS78gOwwRezw04gZfAWxrw5i99Hb7QEKQC8ZMIvDXJwyuAN3aJCfXrqDCbFblxsWOnAjSoR+D13EpMD6+3tWV7VKA0BTwKvMKTK647B/S8pG0Cr+cnJIGXwFsa8AYvf80x+Qi8x6UWNSWkwQ68BXkKziYDAQHAmHstBF7PL8eXtEAPbwWIziZrtAIeBV6hrPDyJiYl447+PdC5fSuZkkwcM3x7vx48ac3DU4/AS+Al8PJo4aJHC9uBt5a/ir9PamjZQsF13enh9fBSXKp5Am9FqM42a7ICHgdeIa7w9L4buxKnkpIRVCsAE8fewTy8Xph1BF4CL4GXwFsa8Ha42oQTiRp8fYFO1xJ4vbAc08NbESKzTSpQRAGvAO/lFGcMr+fmY3UB3jGjrYgMK9RpR95Z3HP6e6RZ8+SX7X0jsTy6H0JVz8CNqgJPD9yGsA+mOzqRNOIRDG1hxt68FPldpMkfS+v2wTW+kfJzYiKweJkJ2TmK/NyurRUj0+bAHLfOYeOnF+djaOYmWC9+0yewEWKjegMK5C76bXEqVq0R28ts18RBhxGzYgbUtHPyc36HHpg6pC9isw44yhSFm+wcgMDrmTmhKMDYMRY0jSmMfU215GJE0toy54TRJ90dc8Lu4W3d3ASTGRBz5Oq2+QxpMDo4LtSnh9cF0ViFChhQoMKB90JuHlau2YQRt99s4DYqrmpick7FNV5Oy9UBeBvUt+KB63fB93yyvNv07GwcuboVRmZtJfASeB1PwJaZ8zDKutdrc6KqA2/j+iacz9Zw5JjGGN4KWsEJvBUkPJutsQpUOPBWdeUJvO4dweQUBUuWqUhJtXlGmzWxYlx4LHavXCY9oXka4DP7Na/CDT28JlgvuqFvvC4PA3ZNgfnIXjk+1pBIrJg2Cw9nbHVMhAkhbTArojMU4aoGsGqNCVvjbP8trqmDdyMqdjqUXNsfiwW9BmNYr5bYkJMoP/soKj6L7oeufnXl51LnRFgs/FcvIfA66fW3e3hPnbKNBzetuXf9csYagdcZtViWChhXgMBrUEMCr0EBS1QvC3gt3y1BLQXYm68icxaBV8jGkAYCr7NhLgRe965XRqwReI2ox7pUwHkFCLzOa1asBoHXoIA6gffkV0uQrqloYtZw4JnX6eEl8NLD60JcN4HXveuVEWsEXiPqsS4VcF4BAq/zmhF4DWp2uepleXh/+3I5AlUNGVYF/rNfJfASeAm8BF4PrkSeN03g9bzGbIEKFFWAwGtwPtDDa1BAnR7eI18tQ5RJkydDHX3WuxuUGMPLGF4xTZd+YsLBQ7bY16q+aY0xvO5dt1yxRuB1RTXWoQKuK0DgdV07WZPAa1BAncC74vNPYIGC5iYLTNy0JlVjDG/FxvCOu8+CmJjCCZxacKHKpCUj8Lp33XLFGoHXFdVYhwq4rgCB13XtCLwGtSutelkhDUe/XoZa0NDYrMHbKajo4aWHt6SHV8yJacMOIfBsPEyqipMpKfBr2w7DfY5UiTy8BF4PLF5OmiTwOikYi1MBgwoQeA0KSA+vQQF1enj9V1WcN4/AS+AtDXjFYSRH3nka4viTRIuCHvc/eNnDSIw+Ke48eILAa3Q0jNcn8BrXkBaogDMKEHidUauUsgRegwISeHnSWhXMw2v/I8jn/ekyXd55K5A16vKn7xl9Ugi8RhWsXPUJvJVrPNib6q8AgdfgGBN4DQpI4CXwVmHgPf3uDLTy0ZBqBfIIvO5dDKq5NQJvNR9g3l6lU4DAa3BICLwGBSTwEnirMPCuf3Mmmpk15GkKmoxhSIN7V4PqbY3AW73Hl3dX+RQg8BocEwKvQQEJvATeKgy8+95+GpqiINMKdBxL4HV1NVBSz0HJSAY0Dbl5efD1D4DWqLkt/1s1vQi81XRgeVuVVgECr8GhIfAaFJDAS+CtwsC75a2ZUAF08bUwpMHAUqAe3Q/f95/DDyk5yLICQXXroefL7wMicLmaXgTeajqwvK1KqwCB1+DQEHgNCkjgJfBWYeC1vjcDvtAQpAJJI7hpzdXVQP0rHn5vTUNcZh5qq1bkN7wCjWfNJ/C6KijrUQEqcIkCBF6Dk4LAa1BAAi+BtwoDb9gH0x0zmMDr+lpgB97E8zloYAasza/Ghaf+TeB1XVLWpAJUoIQCBF6DU4LAa1BAAi+Bl8Cr6yGqzmnJ7MD7Y0YeMjQFwXXro/srHxN4dc0MFqICVECPAgRePSpdpgyB16CABF4CL4FX10NUE4A3LjMXBQDM9Rqj7UsfEnh1zQwWogJUQI8CBF49KhF4Daqkv3pZRwvzpDVg4qDDiFkxA2raOSlofocemDqkL2KzDjgE/ijqJgwIjAEUIDsHWLTUBPupWuERwOPtViF4+WuO8vGTnsOI4CQkWDLld019QrAsug9iTMHy87EEBbGLedKa0GLpJyYcPGTLGuDK6Xv6n4LSS9YE4F2TnieBN6xeQ3Sa8xGB1+ikYX0qQAUcChB4DU4GengNCkgPLz289PDqeohqAvBuysxDkKKhXes2jOHVNStYiApQAb0KEHj1KlVGOQKvQQEJvAReAq+uh6gmAK+SmyO14KY1XVOChagAFXBCAQKvE2KVVpTAa1BAAi+Bl8Cr6yEi8OqSqcoUYh7eKjNU7Gg1UYDAa3AgCbwGBSTwEngJvLoeIgKvLpmqTCECb5UZKna0mihA4DU4kARegwISeAm8BF5dDxGBV5dMVaYQgbfKDBU7Wk0UIPAaHEgCr0EBCbwEXgKvroeIwKtLJt2FUlIV5FywZd0Ql9kE1KljgSJSnHjhIvB6QWQ2QQWKKEDgNTgdCLwGBSTwEngJvLoeIgKvLpl0F/pzv4K/j5txLkVD6xYqzqQWoF8fAq9uAVmQClQxBQi8BgeMwGtQQAIvgZfAq+shIvDqkkl3oX3xCg4dMCMlTeSs1tCkqRUD+xN4dQvIglSgiilA4DU4YARegwISeAm8BF5dDxGBV5dMugsJ4P3xRxPOJtsOErn2WgKvbvFYkApUQQUIvAYHjcBrUEACL4GXwKvrISLw6pJJdyEBvEcO+yA3V0PtCAXn8wro4dWtHgtSgaqnAIHX4JgReA0KSOAl8BJ4dT1EBF5dMukuJIB3f7wZkeEKklM1+AVaCLy61WNBKlD1FCDwGhwzAm9xAXPzFUAr3OVsUjSYfcSrWt+VnKJgyTIVYge1uJo1sWJceCz8Vy1xGNgycx5GWfcizZonv2vvG4nl0f0QqvrKz+JF9tkKk6P88D5J6LhuGkyJx+V3liYt8daE8ZiductRZnZkN4wLbuXYn730ExMOHrL1Qfzc+fTAbQj7YLqjfNKIRzC0hRl781Lkd5Emfyyt2wfX+EbKz4mJwOJlJmTn2Gy0a2vFyLQ5MMetc9j46cX5GJq5icBL4NX1cBB4dcmku5BYJ86e9oHJDKSlA4rZeQ/vuRSx3hU2GeAP1Kqlb71jlgbdQ8WCVMAtChB4DcpI4C0u4KbNJuTnqUhO03BFEwW1ggpwZXMNejP9EHh7S63cATfZOcCipSacOmWD7vAI4PF2qxC8/DXHoMVPeg4jgpOQYMmU3zX1CcGy6D6IMQXLz8cSFMQuNsFqtVW58bo8DNg1BeYje+Vna0gkVkybhYcztjpsTghpg1kRnR3pnVatMWFrXOEfQVMH70ZU7HTYj5EtIPDqWoXcMSdyLgCxSwrnREAAMOZeCxrU0wdpujrqQiH1r3j4vTXNMSe8cbSwAN5jf/ngfLaGvfEaunRxPob3y29MCAsyISVVw5VXKAiJzEdMQ31aEnhdmCisQgUMKEDgNSCeqErgLS7g6jUmmFTbCyAnB+jSpQBXtSbw0sNL4DW41Ljlj6CSwBsUBDw65CSC1XSo4qcMAJpPAKx1GxjtrlP1Kwp4i/4S5ArwLv3UhFp+KlLTgQu5Gm7tb0GTGAKvU4PPwlTASwoQeIsIPeKR2dh/6Dig2F7OIUGB+OXLt7D/cAL+8ew7WLP81UuGhcB7KfAePqLInc/iGj7UQuBlSAM9vG5Y0D3h4RVe/8kd12LH0ncQZQJ2X9Bw+7ARKOgzwr4MuqHn5ZuoysCbmmxb78Rr4/4xBN7yR5slqEDFKEDgLaL7wNHT8ebsSWjetLh3g8Crf3IKD29Wlooz5zRc1VJFVN18Ai+Bl8Cr/xEqs6SngFeEucTHzkOEqiFAAaJuH438W0cTeHWMmfDw+vuoOHNWQ5tWKpo0zaeHV4duLEIFKkIBAm8R1W8cMhmfvf8coqMiio1FUeDNL7BgwpRXcUO3dhg/8laGNJSYtQxp4KY1xvCWvpHR6ALvSeA9u+g1NPOx9TBv0BgCr87BEsAbFW5CeoYGES5y4w0FBF6d2rEYFfC2AkOBfN4AACAASURBVATeIop36PsAbuh6DbbvOYiI8BA8+eDduPG6dsVCGp5/YxEsFgtm/3OcrMmQhuJTVgCvAtsmJ4sVaNaMHl6hEGN4GcNrdHH3JPDuiX0DPtBQW9XQ4A56ePWOlQDehnVNMtNDejpwdVt6ePVqx3JUwNsKEHgvKm61anjm1Y9xyw2d0KPLNdgUtxtTX3gPXy+ag/SMLBnDe//w/vj+59/x/mtTYDbZ0l6lZNpSY1W2S7wcrRtXwye2cEd+/m33QRk8BqpaCB/u7LemASu/BUwwocACbP3dihHDrOhwjaL751Hx0+CCxUqxtGTjwxfBb9ViR1e3/mseRlqKpyVb0XAAIsx+cmPPzj0aPvnMtgFHXCP6JKFDibRkb0+YgOczdzrKvFi7Gx4KbwNVUWDVNCxcrOCAk2nJPqnfF50CoqTN439bsXCxWiIt2VyY435wtPnTS/MxNKMwLVnfwEZYVr+PHB9N0/DLZuC7NYX3MXHQYcSsmAE17Zy0kd+hB6be1RexmQccNhfUvRmDQ5pKvTPPAx/FoliWhsntViOoSCx6aVkaPq3fF839QqXNg39pWBCrOpWl4YHQNni5TjeppZwT3wBbimRpmDZ4D2rHFu7ILy1Lw4p6/dEzqJ7sQ3WZE0afNXfMiaxs4MOFl86JTQtsIQ25GtBt6GiPrhOl6WA5uA/m/5taLEuDdfqbcg554iptnejWxYo7boPuNuU6sURBWLBJZnrYt1/D+LFWma1BzxURbEujyIsKUAHvKEDgvYzO4554BUNuvUHG9N772ItyF/NN13fAKzMfctS6kGfxzkg52YpVA3J+/A6mhYUb7QoG34eAu+6HyaRvQXaySVisGv77pVXCjT2N1T3DNXTrZNINvCdOW/DBAlwWeLc9Mw8jCooD79dNByLK118C79Y/LFj2aeE9lga87zwwAbMyCoH35ahueLxOW5hUBQUWK+Z/rBUD3pmDtiH0/cI8vGdGPoK7mhfPw7uiUT9cF1xXynboLws+jEUx4B2VNhemIsC74aX5uKsE8H4R0w9msyq1XLfBim9WF97HY7cdRuP/FgfeaXf1xcIiwBtbrzfujrxC6p2WqeHdD63FgPcf7Vej1rLCORH/+HMYEVQ8Ldn/GvdHq8AweR97Dljw4YLC8SwtLdkX02fhwfTCtGQPhrbBvIbdYVZt9/HZ/6z4dVvhfUy7fQ9qL7w88P6vwQDcEm6Lpa8uc8LZ56lkeU/OiV8+nocCkbpO0dBt2GiPrhOl6ZC9bw+UN/5ZDHh9n3kHZg+tVdJb/ocFS4usE926WjFiiCrnrZ5LrhMLNBw4aJvb4pl7cJyGtq0Kc4Bfzo6/r75yevrCMlSACpSvAIH3okbZObk4+NffaH9Vc4dqYx5/GfcM6YOYhnUx7slX8MWHszHuyVcx5eG7cUvPTrIcQxqKTzIR0lDUm8csDTx4gnl4bXHdRi9PhjTsjH0DQYqGDj5WxvDqTRoOQIQ0HCwCvMzSYHSWsz4V8JwCBN6L2mZkZaP3sCfw7+cfQ48ubbEpbg/+OXs+vl0yF2eT0xxpybbvOYQnnnsHXy54ERFhwQTeEnOTwMtNa9y0VvU2rRU9jISb1vT/Akbg9Ryc0DIVcLcCBN4iim7ctgevzf8USWdT0LBeFKZOHImuHVpfkof3lXc/wamkZPzf7McIvAReqQCPFuZJa+UdN2108fakh5fAKw7Jcf6kNQKv0VnN+lTAewoQeA1qzZAGhjQQeHm0sJgDBF7XF1OXDp4ouaFNHuhYeMqZ2DCplCijFfl3cbSwO05aY0iD6+POmlTAmwoQeA2qTeAl8BJ4CbwEXmMLqbPAm5Gp4OhxBeEhKnLzRApEK1qfW4Pff1oDP5MJV0WE4O9Bd2NHmB/O/XUMwfXrIsS/Fm7wr4dA1ZZwmMBrbMxYmwpUNQUIvAZHjMBL4CXwEngJvMYWUmeBNzlVwZKlKrp3NiH7AhDTWMMV+z7Gd18sR0MTkGABGr34KkZa96LWlgMw5xagXkAIFt71BEJUWzowAq+xMWNtKlDVFCDwGhwxAi+Bl8BL4CXwGltIXQVeTVOQmgY0a2LFuPBYpH2zBNEXs31tnTlPAq/6ZwJyatdCa59wLGt7N4HX2FCxNhWosgoQeA0OHYGXwEvgJfDqAd6cHFteZpHmVeSpFrkAIiNRJKrU9l1hFKr4UCQmVeSOjVOxqrzDSIb0RWxW4WEkH0XdhAGBMdK4OP42dompWG7mx9utQlXbtGb38AYFKggJEZpacLdvLHy+WwKRuvdEAXDiORvwFiQkwS8rF41jmmB5yyEEXoPvPFanAlVVAQKvwZEj8BJ4CbwEXj3AeyoJ+OorE65sbkJBgYagYA09cz7H3p2/IdTPF01CgvD74KH4YPdGqCG1YG5YF819QvBo8FXyVANmaShca+zA26KZCdk5Gpo20dDl1ALsW7kM4uzLRIuCBhdDGvy2H4bVx4xmuT6IvWMygdfgO4/VqUBVVYDAa3DkCLwEXgIvgVcP8CaeAhYvNaF7FxNS0wSkWXHt9jn46uefEKhoOGdV0PCNt/HUVx8h398HfmnZaDr0VsRG9ZbeWQLvpcDb8RoTMjI11ImyotuZhdjy5TKIiIZ8Daj1wmvSw6scTsSFsAC0NoUypMHg+47VqUBVVoDAa3D0CLwEXgIvgdcZ4K0VqOBsMtCurRUj0+Yi4dcf0Mxse45+enE+7jvwLTLr24527hPYiMBbyhpt9/C2v9oEi1UcRV6A4X6x+PXL5TBDww1+VthjeGt/+wdUq4awJo2w6NaJ9PAafOexOhWoqgoQeA2OHIGXwEvgJfA6A7xXtTIhL0+D2deCYefmYu/m9QhTNTQxaRJ4H/zjC+QG+UnoJfCWvkDbgddiUZCfD0TXtW1a8121BIqmyfy7duDFkUTkB/igReNm+CS6H4HX4DuP1alAVVWAwGtw5Ai8BF4CL4HXGeDtfaMJIp633dVWtNjwMkMaALiapSEl1XYMsD1Lg/+qJY4FyQ68aVYR1Qu0940k8Bp837E6FajKChB4DY6e+4BXgyL3aNsuLScLSnoasrPPo1ZgoNy0Yq0dDZgu/vapo9+mLd/Db/FrjpJ5g8Yg/9bRwpTHrtVrTNgSV9jA8KEWXNVaHoGk60pOUbBkmYrLvci2zJyHUda9KPoiWx7dD6Fl5Ncc3icJHddNgynxuOyDpUlLvDVhPGZn7nL0aXZkN4wLbuXo5tJPTDh4yNZpsav+6YHbEPbBdEf58k7VSkwEFi8TG2psNmw/X8+BOW6dw4bw5g3N3ATrxW/c7c3LzgEWLb38jvz4Sc9hRHASEiyZshdNfUKwLLoPYkzB8vOxBAWxi00yq4C4brwuDwN2TYH5yF752RoSiRXTCLxCi3LnxMUY3m7XmuRjHBJkQeedc7Br83r4X5wDZ155Fw/+tgIWX9tzfu3VHRnSUMrKYffwEnh1LassRAWoACB+/SmS94aSOK2AO4BXDMG+/SosuWbki3Q6iVbc0Owv1PvudWxLTIJ49UW1aYfvRw7Br1s2Ab5m+FwZg7sjW+N6v3plAiyB1zacBF4bdIdHACVTUBF4vfhH0EXgbdvGhPPZGkxmi4zh/eGXH6EC6OJrwc6X52PymlhYTSrOtqmHG6OvJPASeJ1+L7ECFaAClypA4DU4K9wCvBfzaypWM06d1tCgnoLG5kOI+Xw6vj+dighVA9p0wif33YZfVq7E+TrBqHU6HU/f85gjv2Zpt0HgJfDSw1v6qVoV8kfQReAt7vWfi4yt6+ALDUGqbdPaqJM/oMBsQkGgL2N4iyUlLlzl6OE1+OJidSpQAxUg8BocdHcC72+/qXL3trgmDjwigfdM8jl5clB+hx6YOqQvPjv+B3Iig2SZognl5RclYhVMv65lSAM9vJc9ZIAeXu97eEsCrznuB8cq5Okwl+p28ARDGgy+wFidCtQgBQi8BgfbncB7/JgJAQEKcnM13ND0sATezUkpMCkKzG06Sg/vN9t/gflCPgr8ffDK9SMcHt68fEXGnAYGqEhN1xAZDsT8vRq1lhXG8KaPnITT190Mi2aFKgJTNQ11zP7wV3wMqlBYnTG8kVIMxvB2dsSkr1pjwtYicd1TB+9GVOx0KLk5UquCXoMxrFdLbMhJlJ99FBWfRfdDV7+68nOpcd1hsfBfXbhBqUrEdZfh4SXwctOa2xZgGqICVKBMBQi8BieHO4E3I82MA4esuLK5iva1bSENvySlIkAknW/dEZ+NvQ3f/7QGqc2iEP7XOcy+9f5Ljgxt3sSEWmKPmwp0LfgWQcsLgffA5OfxVGgm0n/fjbz6kah3Ngdz+tyHxiabx9gdF4GXwDshpA1mRRB4I03+WFq3D67xvTgnCLxlLjHM0uCO1Zc2qAAVuJwCBF6D88OdwHs+0yxhNT0daB9lA961p1NRAKDu1TYP77e/b4Bveg7yQgIw94ZRlwBv3gUF6RlARCTw6FWrigGv/efrCzv3S+9ubb8gfHTLeMeOfINSyOoEXgIvgTdFPgsEXv0rCoFXv1YsSQWogGsKEHhd081Ry53Am5FqRoEF2Pq71RHDu/lMKoIUDVd36S5jeNd9vwpQFZxpUw//ueLWS4A3M0NB1nmgUUNgfIvSgffsmVMyDrhkCiqDUhB4i3rzmJaMIQ308OpeUgi8uqViQSpABVxUgMDronD2au4E3tVrVeF4lZd905qadk5+tm9a++TkTlh8bDu4i25as29GiY5S5d610BAFN5qLhzTYPbwZh48is0EYWpzJx4Lr7qWHFwDz8DIPr8dzMzOkoczVlsBr8EXE6lSACpSrAIG3XIkuX8CdwLtqjcjGeXngjc064ChTGvCeOmXLudq5o4KBod+VGtJwKuMcQk6konHSBbx7zxQCL4GXB0944zASAi+Bt4gC9SMDDL59WJ0KUAFnFCDwOqNWKWUrG/Be39kMkwlIOqehVxkeXusvO6BaNYSEh+ODAQ8ReAm8BF4Cr2N188aJjCWXUnp4Db6IWJ0KUIFyFSDwlitR1fLwBgWoOJ8N5ORpmNyu9BjevD/+RH6AD0KuvrLYMbIGpZDVuWmNm9a4aY2b1pxdSwi8zirG8lSACjirAIHXWcVKlK9sHl57SIM4RrYs4E2wlB6vaVAKAi83rck5QOAl8Dq7llQX4J0w1opGjayXv30RdaYBDGlwdpawPBUwpgCB15h+IPAWF5AeXnp4CbwEXmeX1eoAvOIsn+nD4pEYtwZX1q2Dv84lI/LabviqQTBOHjiEkOYxuHAsEYNad8EVPqEEXmcnCctTAYMKEHgNCkjgJfAKBS7Jucq0ZExLxrRkulfX6gK8Tw/chu1vz0S6piAQGjqMfRB3tTAjZdMf8MnOg19AAN68c6I8jIQeXt3TgwWpgFsUIPAalJHAS+Al8M7CwxlbHROBHt4q7uG9YwIK+g2X6Q3tlz1dosHlsszq1Ql4c+dPR4Q4uR1A2shHJPAePpWAvNAARMAXSxrfSuD11ESiXSpwGQUIvAanB4H38sB7//BsXNEwFyjy8kz18weUiwmHAfgqKgIUszSUnKJgyTIVKam2Cs2aWDEuPBb+q5Y4Gtoycx5GWfcizZonv2vvG4nl0f0QqvrKz/viFXy2wuQoP7xPEjqumwZT4nH5ncUbO/Lp4aWHt4p6ePf/4wW8EpGH5FU/o6BXO9Q+kY6Z3e5EIzceQV5y2a1OwHth/nREm4AcDci8CLyHTiUgNzIIUQUmLCbwGnzrsjoVcE0BAq9rujlqEXgvD7zT7vwTEWvn4/OEMxgYFYS/W16LD3q3RfzXa3D+xrYISDiLZ7sPRUff2gTewEaIjeot/zgQfw5si1NRLDfzoMOIWTEDJQ8jKSs3c3YOsGipCUU3Mj7ebhWCl7/mGDT7YSRlbWQ8lqAgdrEJ1ov7cG68Lg8Ddk2B+cheacMaEokV0+jhFVokjXgEQ1uYsTevant47XMi68AR+GZcQB3FD+8NftSt6QurM/CufvNfaGKyItGiouf9D0gP74Wvf0FmdChqJ1/A66OfpIfX4HuX1amAKwoQeF1RrUgdAu/lgXfq4D2Iip2GvVm5SLUCAV1vwst3dMLuPTvky9RHA94c9BC6+tUl8BJ45RzwUVR8Ft3v8nMiLBb+q6uY17+KHDxhB15PHkFenYF33zszEXbxF6yo0Q9J4D37+27kBfkhRPXFe93vJfAafO+yOhVwRQECryuqEXjLVK1klgY78CZl58if+Qp6DcawXq2w7cQB5EQG6YMbhjRIvSfSwyt1kGEuBF6X5oT9CHI9Xv/U4wmwmlXEZAIf3TyOHt5SVr2ln5pw8KAt/EpkaRCb1ra8NRPizMwuvhbkj7LF8KZt+A1QFeS3bYrYFoMJvAbfu6xOBVxRgMDrimoEXqeBd3dWLnwVIOfam/HCHR2xe/d2WH1MqJWWg7cHPEgPL4A+9PDSw/vifAzN3AR7Jld3zwlngNe6aacE3tpqAN67YyKBVyfwWt+bAV9oCFKBMyNswHvo7ElYfEwIDQ7B0ov5upmlweDLl9WpgJMKEHidFKxkcYY0FFekLA/vhoxcpGkqGnW7ES/d0QkHNm6GX1YuCoID8BZDGqSI7oYbxvBWso2MVSykoeDXXTBfyEdISBg+YAxvqW+K0jy8YR9Md5S1A29pcd0EXoMvX1anAk4qQOB1UjAC7+UFuxzwirwJwd1uxuzbO0rg1VQVqknFO/0foIeXwIsNOYn08FYiD2/B1j2wmlQEdL3a7UeQl1xFqlOWBgKvwZcqq1MBDylA4DUoLD28+jy8P2XkwQwN3fsNkjG8B3/ZLF+myZ2alL9BiTG8UmTG8BZJVccYXpfmhDMhDX/nZ0BTgKa+oQTeMt4T9PAafIGyOhXwogIEXoNiE3j1Aa+WmwNF02C56XYJvD+fPyFfpj6qicB7UUKGNNDD+1Ml8vCWlarO4JJZanV6eD2hKm1SASpQVAECr8H5QODVB7xKbo4saM/SsCHnpP6fr+nhdcmbxxhexvCKifNR1E0YEBgj8zs74+EtC3hzc4HcPJGH4OKlAqH552CxFsBkMkGcyvaXv4JDp/9GRP36yM7IQERIBNr6hKHY8W1Flg4Cr8EXEatTASpQrgIE3nIlunwBAi+BVygQWfJULZ60xpPWquhJa+UdRpJwUkXBBTPi/rAiuo4CH38Lbox/GcvitqN3eABOmAJw4okn8OrKWGQ0ipAb327rcQueDe/smBMlV1UCr8EXEatTASpQrgIE3nIlIvA6I1FZm9bo4bViZNocmOPWOeT09M/X9PDSw+sJD684fW/dOjMCAoAAfyA4xIKBOybjxIF9yNIUXKgVhiPPPY9/JPwIxaLBN/MChl3TE7MiCLxF/zBmlgZn3iwsSwWMK0DgNaghPbz08NLDy6OFxRyobkcLX+646e++MyHprO3Z73m9VQLvuYN75eEy9uOmnzjyA3KigiFiHCaEXkXgLfFLEIHX4MuX1amAkwoQeJ0UrGRxAi+Bl8BL4K1pwHvutA/W/mRFsxgFtaNsHt4v98ZjoJ8FRwIi8Oezz2PWLyuQWT8UQacycFvPvgReAq/Bty2rUwFjChB4jekHAi+Bl8BL4K1pwLt1ixkhwQpMJkA1F0jgjd//J1KtgBYUhtOznsezmz6XG+U0k4rbu91C4CXwGnzbsjoVMKYAgdeYfgTeEvoxhjdSKpLITWvctFZNN62JGN7jf/lANQFp6YB/gA14f9gXjwIBdcGh+HvW83j90w+hWjWkNwzHbTf0I/ASeA2+bVmdChhTgMBrTD8CL4FXKsAsDVsdM2FCSJticLNqjQlb42yHRohr6uDdiIqdjuIbGVvypDUAnt7I6I60ZAJ4/9zrg6zzGvbGa44Y3i3x8QhSNLSLDMeKabMwfde3yA/wwfnoUJScEyWXXWZpMPgiYnUqQAXKVYDAW65Ely8gQhoURUFeXvFyvlouAK3wS7MJ2UrhS1/81BcAcdiurdS2OBWr1hTmtpw48AhiPp8ONe2cLJPfoQemDumL2KwDDpvl5dec3G4Vgpa/5ihfXrohg1LI6vTw0sNL4E0p/Y+gU8DipSZk59jWgXZtReaOuTDH/eB49KoK8MYuNsFqtXXbvmnNfGSv/GzftPZwRtl/BBF4I8FNa+5449AGFdCvAIFXv1allhTAe/o08P16E6JqK0g6o+HaDkCHYwtxKG4TYgJ8cSQ7F5lP/Qsv7P0B+Q0iYU44i/ZXd8Bz4Z1tMW4EXnT1qyv1TU5RsGSZipTUIsfI8uAJqQ2PFubRwpf8YTzoMGJWzDD0h/Hj7VYh2Ik/jIWHl8Brex3waGGDL1BWpwJeVIDAa1BsAbyJFz03vXqYcCJRQ0xjK67fOwff/vwjYsw2L2/aK+/iyW8+Rma9UPm5Y4fOiI3qTeBVVB4tfHEO8mhhHi1MD6/tREZr86tx4al/F/uRrOhSnZyqYMnSy/9hvHXmPIy07kWa1fbzW3vfSHwS3Q8hqq/8vC9ewWcrbL+yiatLFysG9reUeThGaa8KAq/BFyirUwEvKkDgNSh2UeCtFajgbHLhT5Xntvwg81KKS7zI7j22BtmRQfJzuXDDkAapU7MmVoyjh1dqQQ8vPbz08NrWUwKvwRcXq1OBGqgAgdfgoBcF3gb1VBw/oeHG6zX0PjwHhzavQ1OzhmMFCk698h+M370SGQ3CEJSYji5t2tPDC8CHHl5cDIUs/48gJ3++5klrPGlNLG/lxfozpIEeXoOvQVanAlVCAQKvwWEqCryqqqBJYwXXdtDQauPLyNn6Aw5bVBwrUBE2722MOL0ewSdSEZyYjhYDbyHwEngxNHMTgbfXYAzrxSwN9l+CPDkn3JWlgTG8thcHQxoMvkBZnQp4UQECr0GxiwJv+7a2ncsN6lnQeeccbNy4XuZhELkX8l97F4/9tBRWVYWmKrime3cCL4GXwAuggMDrWIUYw8sYXoOvJFanAlSgDAUIvAanRlHg7XiNCQUWICe3QKYb+mXjjzBDww1+VhnDO+nHpbCYVJzu2Lj8n68ZwytHhjG8RVLVMaShcE6ExcJ/9RLH07tl5jyMKrFBaXk0QxoY0sBNawZfcaxOBaqNAgReg0NZFHgv5CrSw2vPr6nG/QBF02SeXum5Sd8Iq9h3oygE3pyTUnnG8DKkgR7empeH92yyioKCwjzlUWl/Inj+NMdhJNZW7XFi0gvQiuQyD1BMCFJsGRa4ac3gi4vVqUANVIDAa3DQiwKvWxPK08NLD2/Jw0jo4aWH1+CcqCwxvOvXmxARbkLiKQ2NG6poip2IWlgIvOKPoCdvuRa743cjv34k/BPOYVb3u9DJN4rAa/CdxepUoKYqQOA1OPIE3uIC8qQ1nrTGk9Z40po4WvhyJ62JdSLpjIqTiTYv7+T+exAVWxx4h/VqhaOrf0RWvVCYFBXv3Xhf4QE1zMNr8M3F6lSg5ilA4DU45gReAq9QINLkj6V1++AaXwIvgZfAqwd4Dx+x5S0X19TBpQPvthMHkBMZdGnoE4HX4JuL1alAzVOAwGtwzAm8BF4C7+W9eavWmLA1znZohA1udiMqdrojXpMxvDUvhld4eCPCTPj7pIamjVW09NlZqod3Z/wueTpl+Il0fNBjND28Bt9XrE4FarICBF6Do0/gJfASeAm8Yg4kjXgEQ1uYsTePHl49Ht7KFtLQtasVA/tZix0tXHTTXGmvCubhNfgCZXUq4EUFCLwGxSbwEngJvAReAu9kmI/slYuBNSQSeoA3wM8EkxlISwduarirVA/vgY2boakqVJOKd/o/4FEP7+2909ElaBeUvFx5H+l5+ci9ugPyg2vJzxaLBQEmX4Srfo5Fj8Br8AXK6lTAiwoQeA2KTeAl8BJ4CbwEXueB12ox4Xy2hr3xWpkxvAd/2QyrSUVypyb4LLqfR4F3eJ8kdFw3DX8c+1uefmit3xR/PjkJS+PWwVrLD2puAe7r1h9312oOe4AOgdfgC5TVqYAXFSDwGhS7egGvWMYLc2O6Ig2zNHDTGjetMaRBj4d3S7G47tI3rf18/gQ0BfBRTV4D3qMJCWho0vBXveb4/rEH8XzmLvhm5CDqz1N4aOBIjAtuTeB15eXAOlSgghUg8BocgOoEvCKmLi1VQXaOhtoRKs5fsKKNaQ/OnT0DH7MZKVmZyO3UAYfTzsHs44Os5BQ0bXElOvjWdqhI4CXwEngJvO4C3g1lHVDjgSwNdg/vT0dPIEcDajWIwe4nHsabe9bLjXMhJ1LxRJfbCLwG35msTgUqSgECr0HlqxPwHktQcHC/DzIzNVisQHiEBQN3TMaO+D8Rpmo4ExCOE7OexzNb/4cLoQEIPJuF227oh1kRnR0bPQi8BF4CL4G3KgPv1r8SkKEpaNSkGdZNehCx3/xX5gIW1+TutxN4Db4zWZ0KVJQCBF6Dylc34N26xYyjxzVcyAV6dLdK4N0cH49WJitya4VhyzOz8fxP/0Vak0goFgtGNe9G4GUe3sseMsC0ZBf/CDoFLF5qgltPZHTy9L3KctKa4T+MPejh/fXo3+jha8HWqObY9o+H8N7GbwBVhWKx4tFbhhF4Db4zWZ0KVJQCBF4dyiecPIOn53yI+EPH0SC6NmZPHYf2VzWXNasb8B456ANfP6AgHyjQCiTwfrU3Hs3MGvJrheHoc8/jlZWxSG8UDvOFfAy+vi+Bl8BL4GVaMqezNOiJ4a2IkIYjxxOQqqmIjGmKbyc+iA82fA2LnxmmvAI80uduAq+OdyaLUIHKqACBV8eojJ70Eq7v3BbjRw3Ez1t24uW3lmLtJ6/Dx2yqdsC7Z5cZtWoBSWc01I6yeXiTD+5FlqYgr1Y4dj/7PP5xbD18z+dBybdgWPsbCLwEXgIvgbfaAK8p8bh8K1iatMTbE8bLTWv2a3ZkVwKvjncmi1CByqgAgbecUUlOzUD/Uf/Elm//A7PJJEsPOjDC2wAAIABJREFUfeA5TJs4Ep3bt6p2wLtvrw+2/W5Fl44q/AJsHt4f98WjgUnDqYAwJD//PF74fjmy6wQj8EwmBvQdROAl8BJ4CbwEXhV4euA2hH0w3fFWOTPiEdxVxmEk9SMDKiMTsE9UoNoqQOAtZ2i37zmE2W8swsqFLzpKPjV7Prp2bI1hg3pVO+D9eYMZoSFAajrQsGHhpjVx/pA5KBSHn7NtWlMLrLCaVdze7RYCL4GXwEvgJfASeKstKPHGqocCBN5yxvHX3/fizQ+/wGfvP+coOXPuR7jyika4b1g/+d3+I/n4dq2GXNsBPWjWVMMtmUtgOrDdUWfb+Ml4KedPmdBcXJ38ojCvcXf4+qiwWDX8uDkfcb8XdmbItQmos3kBlKw0+WVB82vwzg0dse7CSUehJyPb4a46zaAoQEqGFZ+tLEBKsu2fg4KBYTGb4P/z547yR4aMwcuB6UiyZsvv6plrYXa9zrgqOFx+3hWfj+/WatAupuJte7WG6w69DVPiX/LftcBQrB05Gu/kHHDY7B/YCDMadYSPSUWBRcPXa/MQf8Celh0Y1eUAQtYtgJJvE8fS/no8174xduadk5/Niopnal+LPlEN5OeEkwVYudqKzExbE/WiNQwM+BY+v693tLlj9MN4xZqALC1fftfcHIJXG3dHtH+AzCK8ZUceftpQqOVNHc7iyp0fQz13Wn5pjW6MTwf1x/Lso45C94W2woR6rWBSFeQVWPHJ/wpw4qLUigqMvnY3aq1e4Ch/9ubBmN3QB0cLMuR3IaovnqnbGdeH15Gf44/YtLzcnNg6fjJedmJO3HntMdTdHFt8TtzYEesupm4S7RadE8npVvz3q8vPicNDRmNOYIbuOdGudT66/jXf2JzovB8h6xeWmBONsDPPNnn1zIlBAd/CXOFzYhdqrV6oe054Yp1wdk5Um3UisQArV11+ndg5+mHMLbFOvNa4O+oaWCfGhLbCA0XXiS8LcOKEbQrY1onic+Lczbfj+YbmMteJwlWK/0UFqICnFSDwlqPwjr2H8K9XPsZ3S+Y6Sj7+zFvo2fUa6eHlRQWoABWgAlSAClABKlC5FSDwljM+qemZuOXuKdj89Tvw9/OVpQeOno4Xpo5Dx7ZXVu7RZe+oABWgAlSAClABKkAFQODVMQnGT3kVna5piQfuGYS1G+Lw5kdfYPWyVxyb2HSYYBEqQAWoABWgAlSAClCBClKAwKtD+FNJyZj20vvYd+AYGtWvg5emT8BVLZvoqMkiVIAKUAEqQAWoABWgAhWtAIG3okeA7VMBKkAFqAAVoAJUgAp4VAECr0flpXEqQAWoABWgAlSAClCBilaAwGtgBLb+8Se6dWpjwALgDhuGOsDK1VIBo/PKaH0hqlEbRutXy4HlTVEBKkAFqIBLChB4XZLNVqnzgIfx+rOPIDIi5LJWWjVvjP2HE3B1y6aXlHOHDT23MOlfb+HtFx/XU7TUMs7UP3T0YmLKEpYsFiuEFuVdRusL+2npWVj14zaEhwah/01doCgK0jPOIzSkVnnNO/7dqA133IerNozOK6P13fF8uKMPRQfb6Hi6Y16JrC+r1m/FPUP6yK7t3HcYZ86l4abrO8ijyvVc7rAh2kk6mwqRZ/xcSjpqR4SiW6erUK9OhJ4uyDJG67s6t+0dNFrfbufgXyewY89BZGRlIzQkCNe2a4lmjevp1kEUdIcNpxpkYSpABZxWgMDrtGSFFWL/uwZfrdmEnAt5l7XyyfxnMPKRF7Bm+auXlHOHjaJGuw58pNS+nM++gJDgQNx6czf86x+jy+yv0frC8C3DpxSzn51zAZlZ2WgWUx9fLXypXMWN1hcNjHz0BQm7J0+fQ98brsXY4QPQ445JmDVlLG7vd325fXCHDXfch6s2jM4ro/WFfkZtGK1fcpArw5x4dMa/cdWVTTDx/jvxwy+/4+W3lsrnIioyDHOfflDXvHSHDdH2M68uQPurrkBYaDDS0jOxY+9hzP7nOPTr1bncfhitLxq4aeg/irUj1qicC7m61wmj9UXj/4ldiUUr1krIDQmqJdep33cfwPiRt8qsPHoud9jQ0w7LUAEqYEwBAq8x/Spd7dNnU0rt0/gnX8W/n38M9z72IuJWvVdmv43WL8vwH7sP4petu/DEg8Nc0szZ+gPumSZTx6VnnsdD/3wdn773HP5OPIOHps7DqqWv6OqDO2yUbMjZ+yito+6woUuAalbIHeNp1EbvYU9i3X/nyV8cxv5jLsbe3R83XtcOwm5pfxCXNgTusDF47Ey889LjaNygrqOJ4yeSIH7J+Tq2/D9KjdYva2pt3LZber0njRvi0uxztv6NQyZjxQfPo07tMEd7wuM9/KHnsX7FG7r64A4buhpiISpABQwpQOA1JF9h5V1/HkHsZ6ult+Tx8UMQFhKEDVt2otd17eXLTc/lDhv2dgS4JqdkICI8RP5MueHXnejVvT1+3LQdN/foWG53jNYvrYF7Jr6IZe/+q9y2yyrgTP37Js/BWy8+jtDgWhjx8PMSeMXVd8RT+P7T13X1wR02PKGDsOmMFuIXiB83b0fS2RSIsJKilx4vltH6oj2jNozWF31wx3gatSHm39pPXkPm+Rz0GT4Fv3z5FnzMZvQd+RTWfTZP17x0hw07uJds8NZ7p+n6g9Bo/cvd6JjHX8bit57WpUVphZypLw4R+jr2ZZhMqsOUpmkYMv4ZfLngRV19cIcNXQ2xEBWgAoYUIPAakq+w8oB7pmL44Jtx4MjfUFUFMyffK70E13dpi+mPjdLVijtsHPv7NP75wns4fuK0/HnQ18cHTRvXk7HGTRpFl9sPo/VFA+8u/LJYO1ZNw98nz+DPQ8fx7eI55fbBaH3RwJ74v/B/H32OQbdchw+WfovHxt2J33bsx18JibpfpkZtuOM+3GFDHJySm5uPK5rUh1rij6/npowtdzyM1hcNGLVhtH5lmRNPznoXgQH+SDx9Dg3qRckTG1+b/6mMhxXPqJ7LHTbELz439+iAIbfeiAB/X+Tm5eOrtZvx7Q+/6no+jNYX91kyBlfTgKMJifJgHz2/whitL/qw9Isf8PuuA7ijfw9ERoQiI/M8vl67Wa6ZwkEgrvL2HbjDhp5xZxkqQAWMKUDgNaafo/ZtY2bgm8VzpAdt1KMv4LP3n5MvEfG9Xo+iO2yIn0mH3NoTg/teL2Npv//kdaz45ie5gWvRmzPKvVuj9UUDr/3n02LtiBhe8TP8M0+MQef2rcrtg9H6ogHxM2O9upGoFeAv21NUBQ2jo/DQ6Nvk93ouozbccR/usHHXhGfxxUez9dxyqWWM1hdGjdowWr+yzAnxLHz61Y9S5xG390ZggB+27zmINlc2cRxdXt5AucOGCO95es5Hsm1xZPqF3Dy5qXbOzAd1bdgyWl/cY8kYXJOqok7tcDw69g706NK2PBkM1xcN3HL3kzCbzZdtq7xQE3fYKPdmWYAKUAHDChB4DUtoMzDj5Q8xdnh/tLyiEUY8Mhufzn8WeXn5uHX0dN0/VbrDRv9RUx2xgAJ47T+T6v2p0mj9suQUL1TheXY1U4Sz9f/vw8/xjweGGhpdd9go2QFn76O0G3DWxsSn/w/znntUN1CVbNNofWHPqA2j9UUf3DGe7rAhYkS3/L4Pyaki5CgY3a+9WmZJcOZyhw3RntgolpyaLkOxQoICnemCLGu0vtMNsgIVoAJUwEUFCLwuCley2o+bd2Du28vQ6ZqW2PzbHtx8fUfs+vMwWjZvrHv3tTtsiNi6T/7zDMJCg6SHVwDvnv1HMfuNRVjxwaxy79Zo/csB790PzsLXi14utw9lQV559RevWFuubatVk3+YlHW5w8blOiFgtbz7KO8mnLUhIE1s5unZ9RrUCrR5vO2Xnhheo/XtsFnRfXBHHLBRGz9v2YWn536I9lc1x7btf6Jj2yshYvdf/dfDcvOanssdNkSc6rqNf0DYEuAdGR4i27+lZyddew6M1hf3KWz88Msf+GnzDgndkeGhuKHbNejXq4sMCyvvMlrfbl/sb1i/abvsQ0RYiNzjcPP1Hcprvti/u8OGUw2yMBWgAk4rQOB1WrLSK3Qb9Cjuvq2XjM8Tl1iwRYyeSPFjNunLr+kOG5999aNMq/PaM4/g+tsfQ4Po2jLP57+fn4gOV7co926N1hcNiE0cRS8BmedS0mSYhQhrKO9ytb5Is2S/hOdpU9xuCRQRYcHIyLSlG+rZta3UpqzLHTbstl29j6J9c4eNZ19bAPFzcWmXnhheo/VFu0ZtGK0v+uCOOGCjNu64/1/yWRQxovY/SEXc/7QX38fKhfo2SbnDhoiTFZA3uG93Cbsim8man+LQ/dqr8Pj4u8p7RGWcrZH6ooG3F/xPbqa9tXc3mUIwNT0L363bImNn9fTBaH3Rhw+WfoO1G37DbX27y/++f/gArFyzSaYufPDe28rVwV02dDXEQlSAChhSgMBrSL7Cyj/9ugM3dXfOK1CyaXfYEDZFjJ8A77Ub4hAeGiJzbfr6+ui+U6P19x44WqwtAVviJ1uRa1TPZbS+aOOR6f/G04/fg0b16ziaFJ4s4el+84VJerph2IY77sMdNnTdbA0o5I44YKM2ygoZEn/YfLdkrq5RcIcNkdpMAHZwkTAG8cvBbfc9jR90ZDExWl/cqAiz+uKjF+SmOfuVnZOLoQ88q2vTmtH69j6ItGTilw/7HyDiAIqRj8zWPR6iH0Zt6Bp4FqICVMCQAgReQ/IVVu4+eGKploR3c+u3/9HVijts7DtwrFiKndIavtyuY6P1RXtGT7QyWl/0oc+Ip0p9cYvMGWJDoZ7LqA133Ic7bBidV0brC63LOtCk6Dhs+25+mcNitL4w7I44YKM2BDA//8/75QYxAVgi5+1/v9kgY3rff7X4gS1lieEOG2LD2MqFL8m0ffZLeHmHjHtGV/5Zo/VFmyJ8SkB+0fAFEaYg4F9Plgaj9UUfiqYptAOv2Hh8+/0zdWWUcZcNPesRy1ABKmBMAQKvMf0ctRNOJhWzJH5SFz+ViRy4w2+/WVcr7rAhMj0c/fs0Avz9EBociLSMLOTlF8jQBpH2R1yX23VstL6wb/REK6P1RR9ELs6YhtHyWGFxnHDW/7d31nFaVN8fP4qAiHRKpyApXSIdApICEtKxtITg0iCsdK+CdElI6FLSSDcSXxAQQVpCQjp/r3P5zfrss8/MM8+cu/Ls8pl/jJ3zmXvf9z4zZ+6ce87d++rzKTv0s8fby/Ep1dDRDx0a0nkltefxMCto4vrDSJ7EvKyt1J6v4w+xyJythL+89OzYkDiEib+mlCicm/p0bhym+IHVDUOHxrT5K2nBTxtp5rhAYu78++BcwC3rV6Gmn37k9X4ltecLcPjQ3Xv3qcZHxdWmuVu376iUYJy3fGjv1l7bILXnC7T6YgSVL1GAPqlSgkrX7kz9ujShRSt+oWSJE1hWpHRtnA4Nr53FCSAAAmICcHjFCK0FWnYbQZNHdBNdxReNYcHzKHf2jOomzg8OXq0IWbONTv5xnrq3q+e1HVJ7voC0GpXUntvAu9i/nfkT7Tl4XD1IeSUrd/ZM1K5pdfWAt3NINXT0Q4eGWV99mVeeNHyxX7pqC5Upni9cJgDOP8vz1LXSladrSe1ZU0ccsA4No39Xr9+kBPHj2I7x98RFosEVzdKnfke9EPJ9gsNnMqVLGW5jo9n8kdpz+MLUeSvUi+jfN29TgnhxqGiBHBTwWVV6O3Ysrz9RqT1fgPc38CZjdro/adlP9b3MB3mpXvUyFD26dboyo4E6NLx2FieAAAiICcDhFSM0F2CH6bMOg2nV3GGOr+Krhln6MY65s1MqU2rPHZVWo5LaO4at2VBHP3RoeOqWr/PKXcNX++wlm6gXDd60aCT0Z821m/eqlb6ve7a0jIGX2hvt51SBnEOWK51xNUSO8XatsmVnCviqoSPzhw4N177x+B069gc9fvwkTJf5hXdCUCfKnCGVpSMutTfjzBll1mzaQ10D6tgZinDnOLW/9Nd1un7zNiWKH5eSJ01oK1OF+8V1aDjqNIxAAARsEYDDawuT95PCxTk+J7r34CG1bVzN9m5fHRoc/9auSQ0q92E+tULBDzTeff3NzB9tOd5SeyYlrVAmtec2mMWdPnnylHavnOh9QDVo6OiHDg3pvJLaM+z3y7VQJVw79h5HAY2qqlAT49h/+KRafbWqwufUnlN+DRozmxZO6kerNuymQWNmEb1GFCf2WyozAW+YGvxlC5UL1+yQaujI/KFDw7V/XCwhcaL44VbcDxw5qbK5cEaVKuWKmDKR2hvCHLPLfNnJXbN5L+cqo5JF89gOJ5Dac7W27l9NVC9B/ALEG9Y4/IszuWRKn9LWfUKHhq0L4SQQAAERATi8Inz/GrvHOb7++usqr6TrDmRvl9Khwc5D/xHT6dSfF9W1OW9ompRJqX+3plQoz3vemkBSe76AtEKZ1J7b4MqSY5dv3PpHrSZyaIPddENSDR390KEhnVdSe8Ph/XXtFOJP8E07D6XADg2oWIEXTiZv7CxcpY3liwg7vE7sazTrTfVqlKXaVUpQ2TpdVWxo/txZQn8Hm3cepK/Hf0+r5g41/W3o0DDE/SF7CLeF41XXLxwVbiWTSwZPHdXd631Cas8XCBo3lzZs3UcJE8RVTi7nvvVWxte1YVJ71uIiQbWrlFSlhY2Vfs5PPHXeSpXP3M6hQ8POdXAOCICAjAAcXhm/MNZbdx9W6bdcb9oXLl9TJYYzpHnH1pV0aPCF2MG7dfsuxY0TW+Wh9fWQ2EurUUntzfrKq0FFPm5H20OCbSW296Tji4ZZP3hl0XV3vNXY6NDgTA9ciMTpIbV3dXiNl5EWXYfTp9VLq5VVfhHZfeAYzR7fy7SJhsPrqz2vRK5bOErpsuO6dFr4XLdGSW+zi+vQMLSlmT9YR4cG6/DG2u17j9CZc5fVv3P8apqUydSLiJ0YWql93vIt1fhXq1iMihXIqcos+3JI7flaH9boSJuXjgt3WXboN/ww2lZzdGjYuhBOAgEQEBGAwyvC96/x9PmraOYPq1VVtcL5soX+Ycuuw9Rj0ET6skN99ZnQ6tCh0fPryVSrcgnKl+vdMJfiDSkcY1buw/yWbZDas/jcJes8XuPJ06fUuHYFr8Sl9lYX4I0uvj5Y3fWsNBq2H0xzJoR33HilfdP2A7Ri3U7lZOxfM9m0mTo0XMVdnUXX/3/s5J/0zYwfafTA9pbxmlJ7vqa7BmddGDlxAXHGAXay+nZpbPlS6NS+Tuv+1KBmOapStggtWr6Jrl6/RQ1rlVMvAH/f/IcWhGxQOaut5qUODYO7NPMH6+jQ2Ln/KHUb8C2lT5OcMqRNoRzchw8f0+lzl4jnBVd++6BgTtM5KrVnYc5QwdUlV2/cTXsPHldVKssUz6tiue28oEntuQ2fdQii8iXy06fVSr8IAXvylCbPXa7SxNnN5qJDw+tNESeAAAiICcDhFSN8IcCrQNNGf6nCB/gY/u18+qLNp+rfuZISxy6unjfc8mo6NHKWbqoeYJzqqHOr2qGfLDk2r/fQqcrpbv2ZeQUhqT13kKtGGQeviHIFJX6IctnQoMCWXolL7fkCvON60eQB4a712+9niR/WTeqYlxc2jJxoVGkUSM3rVVK7vtnB377nCK1Yv5M2bD1AGdOloMplCtNHpQupLwFmhw4NOw4vnxM8fSndf/iIugXUNW2PmcNr157Pk64SO7XneRcYNJn+OMshPjHp/oOHKiNB9DeiKeeGqyAmShjXcjVPh4YBV5r5g3V0aHD2j16dGnp0avkr0+Cxsy1j/qX27pON06Jt2LZf7TfYtf8Y7Vv9ndf7hOsJTu05dnfgqFkU2LGBeuFiJ/rzvhPUC1iqd5LYaoMODVsXwkkgAAIiAnB4Rfj+NeacmkaBCV7Ny1+xlfpvrmTED9giH7f1ullKhwY7J3tWTVJOZ7IkCaiHSyoyTgHFq1W/LBlr6dxI7M2E+aHQqc94WjL1K0fEfbU3c9LYAeeXjwqlCqpVP6vDiQZ/Hu4/coZySjgsJFbMGCoPM2/Scq36ZnVdHRqu+pzhwDW5v/u1OYb2f5tmmDZJas/CvCrOpVtPnblAxQrmVCtqvLq7+9djlDFtSrXKZnXosL99567HS/BGRjvODbdBqsEhTrwpyv3glyO7Jch1aPD9aceybzym3uIXgSJV2tDen82dTqm9a/9nLPxZreqmTZVM/W/eOBbXpQKctxuG1N6bPv4OAiAQNQjA4dU0juxI1q9RVq2gzlq0mtZt3kfpUienulVLqRhFzlk5a5x1wQMdGoaTxg+tdoGj6f0cmVWmCMPp4FXk7cuCLR1e3hzk1N4KJ8ejdmhW0+c0UIamL/Y5Splv0uNk97ypjx17q0Oi8fvpC7R83Q61YvVmzBgqawbnofVlU44ODe4fz4mNi6zjETkHqtkhtWddDpXhVGDFC+Witb/sVU7f3kPH1UZK/m3w53P+ImF2SO0NXWncKetINPjloXDebDSwe7Mwju8PyzfR3MXraNSAdl7j/XVoBPQYSSmTJ6E2jauF+drAfZs4K4SOnjxDU0eab16T2ruOc5EqbSlF8sTq99GyfmXb+W8NDYm9k6847nNUh4amxxBkQAAELAjA4dU0PfYfPqFWMLmyGa9YzRjzJY2dupi27DyoYhQ5/2h6LxvXdGi4rkryilTbwNHK4SqaPztxPDEnmR/Rt41Xh9dwkH21Z7sHDx+pog+8G54dHOPg9EMn/jhHtSqVsFxxlNrz9XKXaU7D+gRYjm6FkgUs/65Dgy/A8dOrNuxSsYrRokWjssXz0RdtX4S72D0kGlYhCXauL7Xna3AJ1xVzhqpQAv5sXLRqe9q0aIyK1eQvIryhzKoCoNSe26Aj7lSqwSwH9WiuQknGDepImdOnUkPAK7wcu75+yz6vL8Y6NDh+OWjcHNqwdb+6P6gY3keP1erqh4VyqbRgSRLFN50eUntXYd70tW7BSPpuznJav3WfqkJX4P2sdqamOkdi7+QrjnvDdGjY7ixOBAEQcEwADq9jdOEN+dPw9Ru3VDoyq0/IVpeUarivNnA4xeKVm2nfoeOUNmUyalK3otqkY3ZI7VmXY4V5UxKnnsqYNkXopTh+lvOtFsid1dLhk9rzBXU4aTo0XDkbOUNXrt9FPTs2cDTznGhweIVVzLC3hkjtWb9i/e6hDi07d0WqcLaMCWo1j+c8Fzyxcnil9twGHXGnUg1jTnH6v15DptDUkV+o1U0+7KRnc53bEg1jzDlPN4dIcGwzO7688h4jRnRvUyL071J7w2E1MiX8cfYSDRg5Q4WY8B4IO5vXXLMk+Gov+YpjQNChYRs4TgQBEHBMAA6vY3RhDXVkN9ChYbSKN/mcOX9Zraaxg8urzL6kJ5PYf1Ctg3JejNRGdVsPoAWT+qmmcVxr1cY9acuP403JS+1ZePWm3VSh5L/FDZwMs1RDx3jq0DD6zgUkShfLqzao2XEk3JlJ7PkT+HuZ01GJIrlVmMfRE2co9luxVCjD3oO/KSdraK/WpsMktWdhHXGnUg3Xl6iN2w/Q8G/m09DeAZQza3ratueI2iy2co55TmD3lzmnGryay6ELXFyCX0o59+yf5/9Sew7ixI6l/mmVpUFqz/3ggiB8cNlo3uTpemza8atywrf9NMF0TkjtWVjHVxwdGk7uT7ABARDwjQAcXt94mZ6tI7uBDg1OPdZn+DTaf+gEJUuSkOK8HYsePHxMFy9fpexZ0qvPqVabp6T2DIgdo18Wj1Wrd9dv3FafHNfOH6FWsjhGsFzdrpZxxFJ7Y5BcVyYvXr6mNkk9e/5chVp42jjkaXAlGjrGU4eG0S8eh64BdVXapZYNqlC1CtZp8tx5SOyZPxcK4JCWgnneo76dGylHZ9eBY5QhTQpqVq+SZbo4qT33RUfcqVTD/asBZ0ToM2yq2tT37Nkz5fxyAQarQ4cGf0W5cu0GDerRgpImjk8jJi5QuZDfzZCaOOMBO8BHNk43bYbUnoUX/LRB6Y+ctJC6tvZcSpg3fJodUnv3lwenjwLdX4KctgN2IAAC1gTg8GqaIdLsCMbNV5ohgXN08kagZvUqh6nyZuSX5DRZnvLEGhik9qzDcb9JEyWgymUL08JlGynO27FVuWHOVLB19yH1N654ZXZI7Vl39qI19P3SdSq1Eq8ocmnWfLkyE9eV5VhpftB7ywwg1fCXOeHq8PKnY15lHxo8j65cvaHSL/HmSjuH8enYrn39tl/R9zarVXm6vtTeXVNH3KlUgx1JjuF2PTiU4fylqypm1k5lRh0axaq1Vy+hRngTv9g16zKMQmYMVk3z5sRJ7V37Ly00I7GXfsXhfujQsPP7wzkgAAIyAnB4ZfxCraXZEVwfMpIMCfkqtKKdK75Vm4PcD9YtXLmNZY5LqT1fk9OfDZkwV+Uf5kpKvAmFnc4tuw5RmlRJqXFtjiM2r6oktec2cEne+RP70TtJExJX0grq2Up9Nubj8G+nqftXEy3LyerQ8Jc5wQ4qHxxKEjIzKHRacL7T8dOWqNzAbZtUN/0lOLWv2qRXqAPl5GcmtTe7po64U6caTvMJu/ZFhwb/Pjh0gqur8cFVGT9uHBhadcybwyu1d+3PiT/O0/mLV0LTkb2bMbWtNHGGhtSedfxFw8nvBDYgAAL2CMDhtcfJ61nS7AiuDi//u5MMC2xXvWlvatGgssccs7wje/R3P9CyWV+b9kdq70mYN1r9de0GPX/2nJInTRhaDMMr1P8/wYk9pypa/8No5VhzIYclUwaGbsZhZ4WzBOxZNdGyCVINf5kTvDLLB69OmsVxeyqvasBxai91WKX27oOrIx5aqhERVeuMftqtnMfn88awi39dV6EknP930uwQtdn2654vCsN4c3il9nwNTrvXY/AkunX7DsWL+zbxhrPc2TLSn+cvq7ArDu/gF1azQ2qvow26NOzeC3Em6i8FAAASVklEQVQeCICAcwJweJ2zC2OpI7uBDg1evfy8z3iKFSum2ozCm08ePnqkNqRcuXaTRvVvR3lz8qd9z4fUnlU5LnPs5EXqczavnHTpH0yXr1xXjm7SxAlozMD2oemYPLVCas+aA0fPoguXrlKH5jXp6PEzdPrcZWpcpwLdv/+QJs1ZRnfu3KcJQZ0sR1+qoWM8dWi4Oq5Wjq23n4Lrbnhv5/LfpQ6r1N69jTrioaUaOqrW6dDgF+pvZv5Im3ccpEePn1CxAjlUHmRjoymnSGtQs6zpMEvtWbh2q/5Ur3ppqlnpQ3Ud/t2vWLeD+ndtSjMX/ky8cW3m2EDTNkjtdbRBl4ad3xPOAQEQkBGAwyvgpyPGUIfG6bOXwuT45dCFg//7Xa2Y8E5nrvaVNnVyypsjs8ek7lJ7d4ScYopTknEO3obtB6tSuvVrlFGnfb90Pa1cv5PmBvc2JS+1Z2FOfTV9/ipasnILcZU2PnilOF6c2FSuRH61ectbNScdGnxd90pQTqacrxqe5hV/tuY8zHYOqb0/Orz+EFOto2qdUw3pvUZq7z7vuLLkjmXBoV98+PfJG1rXLRylCt94q/Ymtef2+IuGnd8kzgEBEJARgMMr4KdjBcofNHS0wRVjocptaHtIsKqoxpXdVs8bEVpdzU6uUaf2y9Zsp4/LFw03olzY4M7deyqkgR1eq0OHhru+pBKUoeWrhnRMpfb+6vBKqwhK47J1VK1zqiEdU6m9+++iQbtBxMVfGtQsp5zeuUvWquwQvKo7/6cNKovD0mmDTH+uUnsW9hcNwWMIpiAAAjYJwOG1CcrTaToeAP6goaMNrnxadBuuVpNbNvxY5Rl9P3smqlSmkDplYchGWhCykRZPGWhK3qm9jn7o0HDvmKQSlKHlq4a0H1J7f3Z4uW1OY+SlcdneYmPt3I6cakjHVGrv3jcu7/3l4O/o5B/n1J/4K9TIvm0pU/qUKra30ScVKHuWdKZIpPYs7C8adsYd54AACMgIwOEV8NPxAPAHDR1tcMV49fpNVUXqyG+nVcorLjKQPGkiFV7BMYIcR5wlY2pT8k7tdfRDh4Ynh1dSSYr1fK0mJe2H1J7bzDmXjSwATjILuNpzzt4yxfOFC0PhjB4vYsPNy+Aa46EjHtqJhutXA6dV63RoSMdUas/j4OkLCpczfvr0KSWIF8fr3Vhqr6MNujS8dhYngAAIaCUAh1eAU8cDwB80dLTBPQ6YsbIzwoUG+IEWM0Z0Ve0tc/qUHrM0SO11rCjq0jCmlI5KUE41pGMqtXf/WUmzE3DcavIkCalP50ZUsuj7ofJrN+9VOZY5u0CpouELNuiIO5Vq6GDpDxpow7+zWgcLwaMHpiAAAg4IwOF1AM0w0XHT8wcNtCFiHmQ6KkE51ZCOqdTersPL5wVPX0r3Hz5SJY/NDnaYQ2YEUcfe4yigUVVVxMQ49h8+SX2HT6PlHtLt6eiHVENqr+tFTNoOqb2OfvhDG3T0Q/DYgSkIgIBDAnB4HYLTddPzhxs42qDP4fW0Uu1rJSgdGtIxldq7/6ycZhYwdIwVYg53adp5qMoCwqm0+LDaCKmjH1INqb2/3Gv8oR/+0AZd4yF49MAUBEDAAQE4vA6gGSbSGEXW0RGn+HnfCSq3rdNDaq/jARBVHmT+0g/p3NQxL13no9PMAu4OL//32Qt/UYuuw+nT6qVVJT8Oa9h94BjNHt8r3E/AH8bDH9rgfq95WTHVUhZSex33Kl0aTu/XsAMBEHBGAA6vM27hrKQxiizoNE7RtTGc1qds8Xzh2nfv/gN6/pxCNxGZddtpJSnpg0hqz/2Z8v0KalG/smhEXTUuXL5GKZMnDqfH+Xm5OpWnQ0c/dGi4O5ucjsv9sFuZS8e8dJpZwJPDy//v8tW/aeTEBbTv0AkVG963S2PKkOYdOLw2Z7/0fuV0TkjnttRel7Oqox02hwqngQAIaCIAh1cTSB3Vj5zGKdpxbrjSWodeY2nG2EDT8rKs47SSlPQBILV3H0b33fTG33/7/Szt3H+UmtSp6HXk+aFeOG82Gti9WRjH94flm2ju4nU0akC7cE6Wjn7o0LAzJ/iciIyfdW2D0+wEhoaTFUl/cW50jKcODX+YE9J+SO39ZU54vfngBBAAAe0E4PBqQiqNUeRmOI1TDPMgK9ucpo3u4bFXG7f9SsdPnaXvhncz7bXTalTSB5HU3r1DZi8gXM2JNz5VKFWQqpQtYjn6rDGoR3PlFI4b1DG0HDKv8HLp1fVb9tGscT3DaOjohw4N10ZJ56aOeanpZ+azjA6WUg1/+PLgDu5lzQkpC+kXGOYgbYO7hpMvQT5PZBiAAAiICcDhFSN8ISCNUXR1ePnffYlTdHduMqZLadmrkBmDLR1eJ9WopHHAUnv3DuUo1ZQK5XnPYz/v3ruvEs7vWTXJq8PLLDgLAOcVnjryC0rx/yEOZhulpM4RN0iHRpiXoHItaOOi0ZZ9tcqB6vry4HReavqZ+SwjjWXmC+qMZ35ZXx48vRC+7DkhZeHkC4w7B2kbWE9HO3ye2DAAARDwmQAcXp+ReTaQxii6O7z833bjFN2dG0/xmna7Ka0kxdd5WXHErn3MXaY5DesTYNltLmtqdbiy2Lj9gKoaN7R3AOXMmp627TlCg8fOppVzhoaR0OGs6tCIqDnhdF7anX8ReZ40btVwbpzkAzb69bK+PHhyeHXdJ5zOCSkLJ19g7HKI6C9BETnPoQ0CIOCZABxeTTNDGqPIzXAap+jahRrNelvWn/fWXSeVpOw+RCI6jlink+fpBWTr7sPUZ9hUVZb22bNnyvktXSxssQMdK9U6NFxZSOemjnnpbd79F3/3hzj7l/XlwZ2vP8wJKQtjPH35AuPOQdoG1/uEpB3/xfzHNUDgVScAh/dVnwER0P/3X1IcsWtXVm/aTRVK/lucwEk3Pa1UcyjD+UtXKUmi+BTrzRiWstKVbhZ3mjXDSX+juo00btXVufE1H7DB9mV9efDHsZWycPIFxp2DtA3uL8Z2vwT543igTSAQ1QnA4Y3qI/wS+seOxcuII34JXbW8pNmKot2VbhZ3mjXD31j4Q3v8Ic4+IkKf7Hx58Af+7m2QsnC3d8JB2gZ3h5f/20k7/HF80CYQiGoE4PBGtRH1g/5IHyI64oj9AANJV7qNhylvrusxaBIlS5KAerSrF9q1v67eoDqt+9MvS8b6Q3f9vg3SeenJufE1zt4fvjz4y0BJWUi/wDAHaRtYQ0c7/GVM0A4QiMoE4PBG5dF9SX3zhzjil9T1MJeVrnS7OliPnzyldoGj6f0cmalt42rqOhxLXLZOF9q+LNgfuuv3bZDGrXIHo0o8s98PFhoIAiAAApoJwOHVDBRyIGAQ0L2iyA5u28DR9GbMGFQ0f3basuswxYsbm0b0bQPoIAACIAACIAACFgTg8GJ6gEAEEZCudHOzdGTNiKDuQRYEQAAEQAAEIg0BOLyRZqjQUBAAARAAARAAARAAAScE4PA6oQYbEAABEAABEAABEACBSEMADm+kGSo0FARAAARAAARAAARAwAkBOLxOqMEGBEAABEAABEAABEAg0hCAwxtphgoNBQEQAAEQAAEQAAEQcEIADq8TarABARAAARAAARAAARCINATg8EaaoUJDQQAEQAAEQAAEQAAEnBCAw+uEGmxAAARAAARAAARAAAQiDQE4vJFmqNBQEAABEAABEAABEAABJwTg8DqhBhsQAAEQAAEQAAEQAIFIQwAOb6QZKjQUBEAABEAABEAABEDACQE4vE6owQYEQAAEQAAEQAAEQCDSEIDDG2mGCg0FARAAARAAARAAARBwQgAOrxNqsAEBEAABEAABEAABEIg0BODwRpqhQkNBAARAAARAAARAAAScEIDD64QabEAABP4zAjWb96FalUtQg5pl/7Nr4kIgAAIgAAJRiwAc3qg1nugNCHglcPHyNRo/bSntOnCU/r5xm+LGiU35c2ehbgF1KUXyxF7t/+sTjhw/TUkSxqdkSRL815fG9UAABEAABKIIATi8UWQg0Q0QsEvg40aBlCFtCmrfrAYlTZSALl25TiMnLqQLl6/S8llD6PXXX7MrFaHnPXn6lN6IFi1CrwFxEAABEACBV4MAHN5XY5zRSxBQBK5cu0mlPvmcfpw+iDKnTxVK5drft2jDtgNUpWwReitWTLp3/wENGjOb1m3Zp5zOCiULUGCHBhQjRnR6+OgxDQ2eRz9v3EXPnz2nHFkzUK9ODSld6uR07/5DKvBRaxo/uBNNnrucrl67QfHivk1DerUKvV7Imm303ZzldOHyNUqUIC41qVORGtYqp9rCuv/cuUe3/rlL+w4dp+0hweQa0vDg4SMaOXEBbdh6QLUxW5Z01KvTZ5QhzTsYYRAAARAAARAwJQCHF5MDBF4hAo+fPKWStTpRqaJ56Mv29ent2LE89j5o3Bw6euJPGt4ngJ4+e0Ydeo2l4oVyUZfWdWjExAV06OgpGtG3LcWLG5smzgqhVRt20fLZX9PTp88ob/mWVCR/dhozoL3S79xvAj158lQ5wWfOXabKn31J477qSMUL5aSDR09Ri67DaU5wb8qZNb1aaV62dju1qF+ZKpYqSIkTxgvj8LITzjZjB7an+PHiUPD0pbR83Q5aPW84vRkzxis0kugqCIAACICALwTg8PpCC+eCQBQgwA5j7yFT6NzFK5TzvYyUL9e7VKpYHsqdLaPq3fPnzyl/xdY0qn87KlEkt/p/v/1+lq7fuE1F82engpUCKDioMxXMk1X9jZ3cQpUD6Juvu1Du7BmVwzt6QHsqXyK/+vuSlZtp2vxVtHzWC4f475u3KUmi+KEkqzXtRfWrl6G61UrTqEkLadXG3bR2/ojQvxsrvPVrlKF8FVrRsD4BVLZ4PvV3XuUt+nE7GvtVx9C2RoEhQhdAAARAAAQ0E4DDqxko5EAgshBgJ3bvweO0a/9R2rL7sFrB5VVZdkhL1vqcQmYGUca0KcJ05+r1m+pvno5BPZpTpTKFlcM7f2I/tWLLx7I122ns1MW0bsFI5UxPnbeSVq7fSbf/uUv02mt07fpNtXLcqHYF5fD+78QZmjqyeziHlx1ovvZP0wdTpvQpQ/9eunZnal6vEjWo+SIsAgcIgAAIgAAIuBOAw4s5AQIgQKfOXKDqzXrTmAEdKFe2DB4dS8bEsb4lanaixVMGUtZMacKR4/hedngXTOpHObKEd3h5tXfUpB/o26FdQh3iWi36UrUKxUId3pOnL9C3QzqbOrwhMwZTxnT/Orwck9yifhWkLcM8BgEQAAEQMCUAhxeTAwReIQJbdh2izTsPqo1e7kexau2pQ7OaVLdqKRXSEBTYUm1W4+Pwb6fpxKlzVKvyh1TgowDq0/kzqlq+WKgEb0BLmTyx2tBm5fD2HjqVHj9+QkN7t1a2d+7eV5vo+LrGCq+Zw8shDbwhbkiv1qEhDbzB7YNqHWhC0OcqJhgHCIAACIAACHgiAIcX8wIEXiECv5++QHVa91fOat1qpShRgnh0/cYtmrtknQoz4DCGVO8kURkaOEsCx/FGixaNuvQPpiL5slPXgBeb1jZs3U/BQZ9TqhRJadHyTTRuymJat3AUvfFGNEuHlzeZ/bxxN837tq/ayNZ3xDQ6deaiiiHmPMAc0mDm8HLhiSETvqf9h0/QuEEdKU7st2jkpIW0ecevtGruMIoe/Y1XaCTRVRAAARAAAV8IwOH1hRbOBYEoQIBXa7+bHaKyHXAcbYL4cShPjszUskEVei9zWtXDu/ce0FdjZtH6Lfsp+hvRqHyJAhTYsQHFjBGdODUYpw9bvWk3PXz4mLJkTK0yPuTKltHrCu/NW3eo64Bv6NCxU5Q8SULq3q4eXb76Nw2d8D21b1ZTFcKwcng57RlnkOB0aa+/9hrlzp6JenZsQKlTJI0CI4MugAAIgAAIRBQBOLwRRRa6IAACIAACIAACIAACfkEADq9fDAMaAQIgAAIgAAIgAAIgEFEE4PBGFFnoggAIgAAIgAAIgAAI+AUBOLx+MQxoBAiAAAiAAAiAAAiAQEQRgMMbUWShCwIgAAIgAAIgAAIg4BcE4PD6xTCgESAAAiAAAiAAAiAAAhFFAA5vRJGFLgiAAAiAAAiAAAiAgF8QgMPrF8OARoAACIAACIAACIAACEQUATi8EUUWuiAAAiAAAiAAAiAAAn5BAA6vXwwDGgECIAACIAACIAACIBBRBODwRhRZ6IIACIAACIAACIAACPgFATi8fjEMaAQIgAAIgAAIgAAIgEBEEfg/xch4i5rXVkwAAAAASUVORK5CYII=" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = agents.plot_cumulative_reward(agents_results)\n", + "fig.show(\"png\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If we are interested to compare the accomplished time steps for different agents at different scenarios, this function has the possibility to visualize them: " + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = agents.plot_cumulative_reward(agents_results, CumReward= False)\n", + "fig.show(\"png\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "pycharm": { + "name": "#%% md\n" + } + }, + "source": [ + "# Actions frequency\n", + "### 1. Actions frequency by type\n", + "We can visualize the frequency of different actions for each agent. In figure below we can see that in both agents below 100% of the actions are topology changes." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [ + { + "data": { + "image/png": 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}, "metadata": {}, "output_type": "display_data" @@ -3581,11 +318,11 @@ "source": [ "chart_title = \"Frenquency of unitary actions by type\"\n", "\n", - "aa.plot_actions_freq_by_type(\n", + "fig = aa.plot_actions_freq_by_type(\n", " agents_results,\n", " col=3,\n", - " title = chart_title\n", - ")" + " title = chart_title)\n", + "fig.show(\"png\")" ] }, { @@ -3603,7 +340,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 20, "metadata": { "pycharm": { "name": "#%%\n" @@ -4199,11 +936,10 @@ ], "scatter": [ { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } + "fillpattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 }, "type": "scatter" } @@ -4654,9 +1390,9 @@ } }, "text/html": [ - "
" - ] + "image/png": 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" }, "metadata": {}, "output_type": "display_data" @@ -1428,7 +362,7 @@ " agents_results, \n", " title = chart_title, \n", " col=3)\n", - "fig.show()" + "fig.show(\"png\")" ] }, { @@ -1442,7 +376,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -1456,7 +390,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "24it [00:07, 3.20it/s]\n" + "24it [00:07, 3.35it/s]\n" ] } ], @@ -1466,7 +400,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -1620,7 +554,7 @@ "[523 rows x 6 columns]" ] }, - "execution_count": 22, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -1640,13 +574,22 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "eps.plot_actions_by_station_by_id(\n", + "fig = eps.plot_actions_by_station_by_id(\n", " df,\n", - " title = 'Tutor Binbinchen : Frequency of actions by substation')" + " title = 'Tutor Binbinchen : Frequency of actions by substation')\n", + "fig.show(\"png\")" ] }, { @@ -1662,7 +605,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ @@ -1676,7 +619,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -1707,21 +650,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "metadata": { "pycharm": { "name": "#%%\n" } }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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CJEACJEACliJA4bUUWY5LAiRAAiRAAiRAAiSgCgIUXlWkgUGQAAmQAAmQAAmQAAlYigCF11JkOS4JkAAJkAAJkAAJkIAqCFB4VZEGBkECJEACJEACJEACJGApAhReS5HluCRAAiRAAiRAAiRAAqogQOFVRRoYBAmQAAmQAAmQAAmQgKUIUHgtRZbjkgAJkAAJkAAJkAAJqIIAhVcVaWAQJEACJEACJEACJEACliJA4bUUWY5LAiRAAiRAAiRAAiSgCgIUXlWkgUGQAAmQAAmQAAmQAAlYigCF11JkOS4JkAAJkAAJkAAJkIAqCFB4VZEGBkECJEACJEACJEACJGApAhReS5HluCRAAiRAAiRAAiRAAqogQOFVRRoYBAmQAAmQAAmQAAmQgKUIUHgtRZbjkgAJkAAJkAAJkAAJqIIAhVcVaWAQJEACJEACJEACJEACliJA4bUUWY5LAiRAAiRAAiRAAiSgCgIUXlWkgUGQAAmQAAmQAAmQAAlYigCF11JkOS4JkAAJkAAJkAAJkIAqCFB4VZEGBkECJEACJEACJEACJGApAhReS5HluCRAAiRAAiRAAiRAAqogQOFVRRoYBAmQAAmQAAmQAAmQgKUIUHgtRZbjkgAJkAAJkAAJkAAJqIIAhVcVaWAQJEACJEACJEACJEACliJA4bUUWY5LAiRAAiRAAiRAAiSgCgIUXlWkgUGQAAmQAAmQAAmQAAlYigCF11JkOS4JkAAJkAAJkAAJkIAqCFB4VZEGBkECJEACJEACJEACJGApAhReS5HluCRAAiRAAiRAAiRAAqogQOFVRRoYBAmQAAmQAAmQAAmQgKUIUHgtRZbjkgAJkAAJkAAJkAAJqIIAhVcVaWAQJEACJEACJEACJEACliJA4bUUWY5LAiRAAiRAAiRAAiSgCgIUXlWkgUGQAAmQAAmQAAmQAAlYigCF11JkOS4JkAAJkAAJkAAJkIAqCFB4VZEGBkECJEACJEACJEACJGApAhReS5HluCRAAiRAAiRAAiRAAqogQOFVRRoYBAmQAAmQAAmQAAmQgKUIUHgtRZbjkgAJkAAJkAAJkAAJqIIAhVcVaWAQJEACJEACJEACJEACliJA4bUUWY5LAiRAAiRAAiRAAiSgCgIUXoVpePjik8IR2J0ESIAESEBvBJLFj6q3KXO+JBCpBCi8CvFTeBUCZHcSIAES0CEBCq8Ok84pRyoBCq9C/BRehQDZnQRIgAR0SIDCq8Okc8qRSoDCqxA/hVchQHYnARIgAR0SoPDqMOmccqQSoPAqxE/hVQiQ3UmABEhAhwQovDpMOqccqQQovArxU3gVAmR3EiABEtAhAQqvDpPOKUcqAQqvQvwUXoUA2Z0ESIAEdEiAwqvDpHPKkUqAwqsQP4VXIUB2JwESIAEdEogs4R0xaQmePHsFL8/2YVKv2mwAqpUvinpVS/3Q9u37j/jdvS3WzRuKjGlThDkWG5BAZBOg8CrMAIVXIUB2JwESIAEdEogs4b3n8wRfv/ohQ9rkYVKn8IaJiA1siACFV2GyKLwKAbI7CZAACeiQgLWF12g0wmgE7O3tTKZN4TUZFRvaAAEKr8IkUXgVAmR3EiABEtAhAVOFt1arwSicPzs6NqsWRMlr1iocP3sVS6cOwMVrtzFq8j+4dvMuori4oGQRN/TrWB/Ozk7Yc/gsxkxdiuruxTB53lrZfu3Wg0FbGgwGIybMXImNO4/gzbsPSJsyCXq2q4OCblnlvYTw/lX0N5y/fBMnzl5DsiQJ0Lt9XfyRPwe+39Lw5asvRk1Zim17j8NoMCK7azr061QfaVIm0WF2OWU1EqDwKswKhVchQHYnARL4gcCRkxeQPnVynLt0HaVLFCIhDRIwVXjnLduKddsPYf28YUEU3Bv2Qe1KJeTe2lI1u6FsyQJo17gKXrx6gxbdx6BmheJoUrssDh6/gB5DpqNMsfxo1bAiEsSNhbHTlwcJ76pN++E9exXme/dB8iQJ8M/aXZi9ZDP2r/GGk5OjFN6Xr99hSM9myJM9A+Yv34Z5y7diz8oJsLO3C7GHV4x74cotjB3YFrFjRcf0hRuwdc9xbFo0Ao4ODhrMIKdkawQovAozRuFVCJDdSYAEfiDw+OkLfP78Gecu/YvK5YqTkAYJmCq8j568QKla3bB1yWikSp4It+74oFKT/ti7agISxo8jhTRGtChyRVdcw7wXyX8b59EWB49fROte47Bz2Vi5Oiuu4A+tiVXZj58+I27smPJ3r9+8R+FK7bFx4QikS5VUCq9rhlQY3qeF/P3nL19R0L0txgxojQJuWYOEN0Oa5MhfrjWmDO+C/HlcZVt/fwMKlG+NqSO6Bv2bBtPIKdkQAQqvwmRReBUCZHcSIIEfCFz59zZevHyNJ09foGKZokEyQ1TaIWCq8IoZ127jKVdpG9cqI1dOT5y9irkTekkYYtvCvGVb8OjpS/nz23cfUCBPFkwa1kkKb/u+Xji/e04QuODC++btB3jNXoWT567h8+cvso0YZ/VsTym6QnjLliiAFvXcg/qXrNFVrh5XLF04SHjjxIqBYtU6/zQ5Q3s1Q5WyRbSTOM7EZglQeBWmjsKrECC7kwAJhCAgHix6/doe/n4B/xwnrgGOjoSkNQLhEd75K7Zh98HTWDSpH6o1H4jalUughnsx3L73CJWb9Idnz6ao8Fch+UCa2Ef74OHTIOHt4jEJp7bN/Knw9h4+E3cfPMHEIR3kavH7D59QoHybEMLr/tfvaFq7XFD/UjW7omWDiihTPH+Q8IoV4qJVOwX101quOB9tEKDwKswjhVchQHYnARL4gcCBw444e86I+PGBSu4GxIxhJCWNEQiP8D5+9hJ/1+6OZdMGom7bIdi/ZqLcJ7thx2H50NneVV5BdBp2HI7YMaObJLyl6/SQq7fV3YvK/sfOXEGzrqNDCG+OLOkwuHsT+fvALQ1CkHNnzxhiD2++sq0xoEsDVPy7cFAsPo+fy73BvEhADQQovAqzQOFVCJDdSYAEfiCwY7cjDh0GEiUCGtXzR8yYFF6tlUl4hFfMXYiu2KcbNYoLpo3sInGIkxPEQ2pr5ngiZbJEmLpgPQ6duAhHB3ssm+4htzT8aoW3UacRSJo4Pob3boHb9x5izLTlOHrqMiYN64g/C+aSWxpevQnYD5w9c1rMWbYFC1Zsx77VXvjq6/fDQ2t7Dp3BlOGdkSJZIqzatA8TZ6/GrhXjET1aFK2lj/OxQQIUXoVJo/AqBMjuJEACFF4d1kB4hXfRqh0YOfkfjOzbEhX+/v/JHZ4TFmLzrqOIFtUF9ar+JY8Ma9p1FH7LlRk13Iv/UnjFkWb9RszCo6cvkCVjagzt1RwzFm3AroOnMW1kVwwePx+VS/+BI6cu4/SF63K1tl/nBvLYsu+PJROrv2I7xfZ9J/Dliy8yp08pjzDLmTW9DrPLKauRAIVXYVYovAoBsjsJkACFV4c1EF7h1SEiTpkEIpQAhVchTgqvQoDsTgIkQOHVYQ1QeHWYdE45UglQeBXip/AqBMjuJEACFF4d1gCFV4dJ55QjlQCFVyF+Cq9CgOxOAiRA4dVhDVB4dZh0TjlSCVB4FeKn8CoEyO4kQAIUXh3WAIVXh0nnlCOVAIVXIX4Kr0KA7E4CJEDh1WENUHh1mHROOVIJUHgV4qfwKgTI7iRAAhReHdYAhVeHSeeUI5UAhVchfgqvQoDsTgIkQOHVYQ1QeHWYdE45UglQeBXip/AqBMjuJEACFF4d1oAlhNdgMOLmPX8YTXwxn4MdkC61I+ztdJgATll3BCi8ClNO4VUIkN1JgAQovDqsAUsI7xdfA7xn+uHhQ9MMNlVKI9o1c4SLk70OM8Ap640AhVdhxim8CgGyOwmQAIVXhzVgKeEd6e2H+/dNE950aY3o1s484fXz90euks3g5OQos2dvZ4c0KZOgW+taKJwvO8L6vegjVqTnr9iKVZv24+Hj54gdKwaKFcqNzi2qI27smCZXRd22QyBebbxmzhCT+5jTcO3Wg6hStog5XdlHBQQovAqTQOFVCJDdSYAEKLw6rAGtCO/uleORJGE8Kbi7D55G/1FzsXXJKMSJHUMKcWi/TxAvNoZ5L8KRU5cxsGsjZM+cFk+fv8KkuWtw478HWDXbEy7OTmFWxs3bPhg1ZSmiuDihWd3yyJ0tQ5h9zGlgNBpRtGonHFg70Zzu7KMCAhRehUmg8CoEyO4kQAIUXh3WgNaENzCFVZsNQPumVfFnwZwhhPf732fJkApl6vbEmjmeSJ8meVAF+PsbUKVpf9SrWgq1KpUIszLGTFuGDGmSw9nZCafOX4dH10ZBfWYt2YRl6/YgXtxYqFGhGGYu3ohdy8fJ389YtBEbdhyGnZ0dCrplRa92deRqdUH3tujasgZ2HDiFBw+foWq5ImhZvwI69J+IPYfOyFhnjO6GpInihRkbG6iLAIX3Wz4OHr+INr3Hw9HRIShDPdrUlh+6ez5P0XfELFy9cRfJkySAZ8+mQX9FUnjVVdCMhgS0QGDHbkccOgwkSgQ0quePmDFNfApJC5PXyRy0KryVmvRD99a18Ptv2X4qvIG/f/P2A2b9swnr5w37IeOT567Ff/ceYvygdr+sBiHH5er3wurZnnBwcECFhr2xZfEoKb+37j5Eg/bDsGHBcMSOGV0K6537j7Htn9FSXL1mrcKSKf0RLWoUdPaYjAJ5sqB+tb9QqGI71KxQXG6rePLsFUrX6Y6jm6bh85cvKF69C87tnK2TCtXeNCm833K6Zfdx7DxwEhMGt/8hyw06DEPhfDnk1yX7j57D8ImLsX3pWDg5OoDCq70PBWdEApFNILjwZsl6BjGj28NgNKLgbzkiOzTeP4IIaE14ff38sX3fCQz3Xoyt/4xG9GhRQgjv97/fvOuY3AIxZ3zPH4guX78H2/edxNwJvX5J+8Cx81i//TDGebSV7foMn4XihfPg76K/YcWGvTh08iImDukofyf+N37inNVSePuPmiP3GzevW17+bv/R85i3fCvme/WWwjtnXE9kyZha/u5397ZYOWuwnA+FN4KKP5KGofB+Ay8+HBev3caQnk1DpOLFq7coU7cHjm6aCkeHgNXf6i085Ncf+XK7UngjqXB5WxLQMoHgwlu29FPcvncDyZMmQpZMabU8bV3NTSvCG/jQmoO9PdKnSYZe7eoib85MPzy09v3vhRxPmrsWmxaO+CHvYoX39v1HQSIbWmF0HTQFQnrF6q64/P39UcAtK6YM7yy3L9x/+Czof9PPXrohhVgIb5veE3D+yk25uisug8GA+HFjY+XMQVJ4l00biFTJE8vfBf4cM0Y0Cq+Nf0IpvN8SOPufzdi5/xQ+ffmK12/e4Y/8OdCvUwNcv3UfnuMXYN28oUGp7u45DQXcsqCGezEKr41/ABg+CaiRQHDhLVjwBp4+f4h4sWOiYL6cagyXMZlBQCvCG/hQ2vcIAk9pCO33z1++QYkaXbB8ukfQamqAfBpRuWl/NKpRGtXK/xkq2bfvP6JcvV7Yu2pC0EkR4p4lqnfBunnDsG3vCZw8dzXoW9ute47De3bACu+A0XORMW1yNKxR+ofxKbxmFLONdKHwfkvUzgOncP7KLTSpVVau5AqpTZMysfx6xHvWaiyf4RGU0n4jZyNT+pTyA+lv4N46G6l1hkkCNkHAz9+IFev9sf8gkCKlEa0qPUU0Jz8YYYeoyVPCUbwtgJfNE3CwwNsexDm81j6WzFzhFQkcN30Fduw/KZ+LyZU1PZ4+f40p89bi5h0fucoauHr8s2QvW78HJ89d+2EVWKziZsucBrmyZUCbXuPlCnL06FHRutc4+Dx6HrCH9/BZTFuwXm5hEFsVVmzcJ7coiiPHQhNecUya+N3xzdMRLaqLzdefHidA4Q0l66cv/Iv+o2ZjeJ8Wcr/P5kUjg1p2HDARRQrklCu8T15/1mPdcM4kQAIWIiDekrVtp4N8aM3VFWhkPxWOR7fAkCI9/FoPAnbzwLIAACAASURBVGLEstCdOaw1CSSOE/B1ekRetia84qivxat3yv229x89kw+XlSySVz4wFitGtF+iqd3GEw2rl0a5kgVCtNt98AymL9ogtyeMmboMm3cfQ9LE8VHx70JYuHI7ti4ZLduLLQ/rth2Cn5+/3M87tFdzJEoQJ1ThFVscmncfgyv/3sGMUd2QI0u6iEwdx7ICAQrvN8jiic6Y0aPJghfX8bNXMcx7MRZ490apmt1weMNkRHFxlr8r36C33BfkliMTtzRYoUh5CxLQG4HALQ1CeBv6e8H5wHoYUmXEl44jYYxO4dVCPdj6lgZbyIHYHmH/bSX9xNlrGDd9eYhva21hDowx4ghQeL+xFEeUiL/cvDzby/eQi83wmdOnRNdWNdGs22jkzZkZLeq5y6dQxT4gcbC22PrAUxoirhg5EgmQQAABCq/2K8ESwuvrZ8C+o7748tm0bS9RowF/FnSEk4P2Xi388vU7lK7TA0unDkCGtMnlN7XiIbW+Hetpv7g4w58SoPB+wyJeSzhkwkLsO3pOimyJP9zQs20dRI3ijEdPXqDXsBm4fP0OUiZLhGG9m8s9QuKi8PKTRQIkENEEKLwRTVR941lCeMUsw/tciSX2EkcUbfHK4Pcff75tUIis2H/7q0vszRUvnzD4G5A1U2oM6dlMvgGOlz4JUHgV5p3CqxAgu5MACfxAgMKr/aKwlPBqnxxnSALmEaDwmsctqBeFVyFAdicBEqDw6rAGKLw6TDqnHKkEKLwK8VN4FQJkdxIgAQqvDmuAwqvDpHPKkUqAwqsQP4VXIUB2JwESoPDqsAYovDpMOqccqQQovArxU3gVAmR3EiABCq8Oa4DCq8Okc8qRSoDCqxA/hVchQHYnARKg8OqwBiwhvOLc2Xe3bsHO6G8SUTt7B0RPnwEWeOmbSfdnIxKwJgEKr0LaFF6FANmdBEiAwqvDGrCE8Io3rb0d1QuOd66ZRNQ/fQ7E7D4ULk7aO4fXJABspCsCFF6F6abwKgTI7iRAAhReHdaApYT33cC2cLx1ySSi/pnzIMZAb7OEt0X3sTh25rK8T/A3momfj2yYgpihvBr4ns8TPH/5Rr6pNKKuAuXbYP38YUiSMF6IIS9dv43ug6dh2z8BrxMO7VLaP7RxC1Vsh2XTBkK8lphX5BOg8CrMAYVXIUB2JwEdEjhz/iqix4iG+w8eo1TRAhReHdaArQtv8JQVr94ZXp4dkCtr+jAzuWDldnz96ivfXGrq9b1Qf98vNGH18/fHu/cfETd2TLOE19T+FF5TMxm57Si8CvlTeBUCZHcS0CGBA0fPwjVTGrx8+QauGQPe2hj84osntF8UWhZe8Xazh4+fw6NbY5nIwJ9LF8+Prh5T4OjogCpli6BT8+qYNHcNtu87IdvlcE2HAV0aIkb0qGjX1wsZ06bAum2HMKRnUxQpkDPUohDC27pBRYg3q3389BlNapdF45plEHyFt0P/iciWKQ3OXb6Jx09fImXyRPAa3B4ODvZQ2v/mbR8MGDMXj5++QIqkiTCibwukSJoQYoW3Q9OqWLpuD56/eI3GtcqgZf0Kch77j57HhJkr4evnh5TJEsq3wCWMHwe/ilP7nwrLzpDCq5AvhVchQHYnAR0S2LzzIFwzpoWvrx+FV4f5F1PWo/AKAR7qtQiJE8aVK7xbdh/HnKWbsWhSP0SN4oxeQ2cgccJ46Na6JjoNmISXr99i1tgeiOLiHOYKbeli+TC4exPc83mKyk37Y8uikXjx+m3QlobOAyfj1Zt3mD2uJ+zt7FClaX/07lAXhX7LLoXX3P6/582GKk0HoH3TKihVJC/mLN2C42euYOaY7lJ4y5UoiH6d6uPO/ceo3KQ/jm2ehg8fP8G9YR8smtRXSv385dtw5tK/mDikI34Vp04/KhE2bQqvQpQUXoUA2Z0EdEbACCMcj++G3esXMMaIDf/CZbjCq7MaoPAGCG+vYTPgmj6VXJEV16ETF+Wq5+rZnlL8smVOY9LWByGss8Z0R85vWyrqth2CRjXLIHnSBCGEN0+OjGhUo7S8V8cBE1G8UB650qykf4E8WVCl2QAc3zxNjuvr5w9fX19EixpFCu/ssT2QNVPAtzi/u7fFylmDcfrCv9iy+xhmjO4m/12sShd0b4uzO2aj2+CpCC1OHX5MInTKFF6FOCm8CgGyOwnokIDL9EFwOH8YhgzZ8bn7BMAYEgK3NGi/KLjC6w7x4Fu5kgWkdIrr4rXb6NjfG3tXeUnhLZw/O2q4FwuzGISwCkkW2wjE1brXeJQs4oYsGVOHEN4/8udAdfeiso0YP/BnJf0zZ0iFLgMnYdeK8T/E+f1Da4E/7z54BlPmr0WcYHuL33/4hE0LR8gV8NDiDBMEG/ySAIVXYYFQeBUCZHcS0CEBCq8Ok/7dlLUsvHOXbcG9B08xqHvAHl6vWavw5u17uac3+JYGscKbKV1KNKtTTrY7ePwCvGevxqpZg0MIaVjVIoR13oReQSup9doNlftlkyaOb7Lwmtu/0G/ZUKlJPxzfPB329nZym9L9R8+QLlVSucIb/JSGwJ/PX76FHftPYtKwTj9MLbiIfy/mYXHg739NgMKrsEIovAoBsjsJ6JAAhVeHSdeR8G7adRTL1u3B4sn98PnLV4gtBuIEByG8Iyf/A2cnR3RtVRPb9p6QD7QtntwfLs5O6DZ4CtKlTiYf9Ppe/H5VMUJ4xSpx7/Z18eDRM1Rq3E8eRfbk+SuThdfc/tXK/4lKTfqjSa0yMoZFq3ZIcQ/cw/sz4RXbHcR+3iVT+iN1isRyZXvjjsPo27H+D/MODwd+qii8Fq0BCq9F8XJwEtAkAQqvJtMarklpeYX30+evaN/PC6/fvEfSRPGRPk0y+cCYZ4+mOHLqEjoNmIzihXJjZL9WQac0GI3Ab7kyo0+HeogW1SVcwpuvbCt0bFYNqzcfkMeQNa9XHnUqlwxxSsOvVk6V9v/3vwcYOHoOHj55gdQpkoQ4peFnwivO5Q08pUH8QRA9WhT5YJs4m5grvOH6GIWrMVd4w4Xrx8YUXoUA2Z0EdEiAwqvDpGt4hZfZJAFbIEDhVZglCq9CgOxOAjokQOHVYdKtILy+fga82bMNDp8+mATYGD0mYhb/G04OfLWwScDYyKYJUHgVpo/CqxAgu5OADglQeHWYdCsIr7iFv+G7Iz/CQO1gb6f6ZAyfuATHzlz5aZx9O9ZDQbesqp8DA4x8AhRehTmg8CoEyO4koEMCFF4dJt1KwkuyJEACPydA4VVYGRRehQDZnQR0SIDCq8OkU3iZdBKIVAIUXoX4KbwKAbI7CeiQAIVXh0mn8DLpJBCpBCi8CvFTeBUCZHcS0CEBCq8Ok07hZdJJIFIJUHgV4qfwKgTI7iSgQwIUXh0mncLLpJNApBKg8CrET+FVCJDdSUCHBCi8Oky6FYTXYDDi1JvnMMC0kxocAOSNkwg2cFADC4YEFBOg8CpESOFVCJDdSUCHBCi8Oky6FYT3i68BFW5swbmvz00CnM8lMdZkKA0XJ57DaxIwNrJpAhRehemj8CoEyO4koEMCFF4dJt1Kwlvk+lqc/PLUJMB/REmKXZkqmiW8LbqPxbEzl+V9xMqyfbBl4iMbpiBmjGg/jeGezxM8f/lGvkbX3MvP3x+5SjZDvap/QZzDG3jtPngG67YdxKRhnX469NUbd9HFYwr+yJ8D/Ts3CNHm/JVbGDFpCRZN6od7Dx5j0LgFuH7rHhLEi43ubWqjROE8sv3B4xcwfOJiPHvxGrmyZcCofq1kG/GKYI8x87D3yFlEjeKC9k2roIZ7sVCnuO/IOfQcOh0DuzaCe6nfw0QRnNul67fRffA0bPtndJj9wtNgmPciJEucAE1ql/1ltzMXb6BRp+GyjXgltNH4//w3qPY3erarE2r/o6cuI23qpEiSMF54QouQthRehRgpvAoBsjsJ6JAAhVeHSdeY8AafTvHqneHl2QG5sqYPM7ELVm7H16++aFHPPcy2gQ2+F2ohvPnLtpZSPXd8T6RPk1w2/ZXwnr10A0O9FiFD2uSIGT1aCOH19zegYuO+8PJsj4xpU6BSk36oXr6oFOrDJy+h66DJOLB2Enz9/FCmTg+M9WiDfLmzwGvmSjx6+gLjB7XDxDmrcfXGPYzzaIMnz16hUacRmDO+pxzvZ1fngZNRMG9WGfOssd3DZBGcm5j/u/cfETd2zDD7haeBkPZKjfth5pjuSJ0isUldV23ajx37T8o+plzt+3qjRX13k2pFjPd97k25R2htKLxK6AGg8CoEyO4koBMCZ85fhaOzE8SXx3n3L4bD+cMwZMiOz90n4Pstlzt2O+LQYcDVFWjo7wXnA+thSJURXzqOhDF6LJ0Q0/Y0k8WPGuETFFsarLXC+yvhnbVkEx4+fg6Pbo1ls8CfSxfPj64eU+Do6IAqZYugU/PqmDR3DbbvOyHb5XBNhwFdGiJG9Kho19dLyuK6bYcwpGdTFCmQM+iWQvjylW2NPu3rYueB00HC+CvhFSukYiV24codcoU5+Arv5t3HsGX3MUwZ3hli7LVbD8r4HB3ELmegQPk2WDlzMK78ewdrthwIkjshnUWrdsKxTVNRrflADO3dPEjkRk9ZKufRtnHlH/L85u0H1Gnric2LRqJio76YM74XEiWII9u9ff8Rg8bOw/nLtxAtqgv6dKwHe3v7ENz+Kvpb0AqvGGvw+AUQq9dilb18qd/RtlElOVZB97bo2rIGdhw4hQcPn6FquSJoWb8CfH390H/0HJy7dBP+BgPcsmeEZ8+miOLijDlLt+C+z1MM6h6Qu7Cunwlvyx5jUblMEZQrWUB2D/z54ZPnmDxvLRIniIvubWohf+4socYu8tuyvruMZ8/KCZKF0ovCq5AghVchQHYnAZ0QOHD0LFwzpYGPzxMUPLKMwquTvIc2TT0KrxBgscqaOGFcucK7ZfdxzFm6WW4jiBrFGb2GzkDihPHQrXVNdBowCS9fv8WssT2kiAW/hJS6/d0C53bOQfUWA9G+aVW55SCsLQ1ijOkLN/wgvF08Jkuhrlruzx/SdfHqf+g0cBJ2LR8vxf3Fqzfo27F+UDshvAsn9pXiemDtRMSOFV3+bsWGvTh1/jpGD2j9w5j/rN0tt0R0al4N0xauh4uzE5rWLifbiW0FQnD7dKgHce8WPcZi/xpvjJm6LIhb8C0Ng8fNl9sKhKC+//AJtVoPRu/2deV8ClVsh5oViqNzi+py1bl0ne44umkaDhw7jxUb92L22B6y77jpy1GySF645ciIO/cfo0GHYTi4bpJJn9DwCK8Q4IqN+8k/YMS3Ab+MvUI7VClXBN1b14KdXcS8/prCa1JKQ29E4VUIkN1JQCcENu88iHhxYiFKlCgoeHgphVcneafw/n+F93vh7TVsBlzTpwraM3roxEVMmLkSq2d7Qnzlny1zmp9ufRDCm+ev5ri4Zx5OnL0Gj7FzsWH+cBw4duGXe3hDE95SNbtiyoguyJw+ZYh0PXj0TK5ODujcEL//lg1es1bJFWAhYYHXX7W7Y5xHW9Rp44lT22ZKcReXWJnedeA0Jg//cT9xrVaDMaJfS6RLlRTiHuJr/nXzhsp+YryJQzogS8bU8uc37z4gdszoIf5QCC68JWp0wcShHZE9c1rZXvD78tVXSq8Q3jnjegaN9bt7W6ycNRhPn79Ct8FTMahbE7mtQgh38EusDIscJE+SIMxPqRLhDSv2aSO7mrz1IcxAAVB4TaH0izYUXoUA2Z0E9ELAzk78B1fuXuAeXr0kPfR5coXXHeLBN7HqJ7YPiOvitdvo2N8be1d5SeEtnD/7Tx/8Ci68op9YDc6RJR3SpkwaJLxiX7EQPyFzYrzA62crvGK1ePvSMUgYP2Bbgbiu37ovxxXiWKxQbvlvMxdvxKMnL4K2aoh/ExK5bLqHXOHdvXK83DYhrsWrd+LClVs/rPDeuuODyk37I1rUKEH3+vjpM5ZP90DWTGmQt3RLrJ8/DCmSJgxRPMFXxoMLb+5SzbBp0cig9nOXbcH1m/cxqn8rKbzLpg1EquQB+3GD/7x930ksXbdbboUoUzw/erevFyTrZev1wuj+rSTTsC4lwhtW7EunDjR5L3FYcYrfU3hNoUThVUiJ3UlA3wSE5B49Zg8fHzukSWNA4ZMecOQeXl0XhZaFV0jXvQf/3wcqVkbfvH0vRTG4uIkV3kzpUqJZnYCv88UJCN6zV2PVrMFSeMVpCtXdi/5QJ98Lr1glrd3aE51aVMOBo+flKQ1in27gFSih4uefCW+ev1tgRzDhvf/wqZTx4X1ayK/5A68d+09hyZqdWODdR/6T2JZQpm5PuYe3eksP9OvYAPnzuMrfia/rxfaM1g0rhoh/3PQViBUzWoiVa/FAmtjzLLYxiBXe8R5tg2Tz9r1HcqV1dChbGsQqqbdnh6D2Ynx/f395UsKvhDcwKLFnuNugqfKPi8Y1y8h/Viq8rXuNR4W/C6F8yYJyvHrthsoHAL/f0hCe2CPiPxYUXoUUucKrECC7k4BOCKzd4ICz5+zg5mZAzQcDKbw6yXto09Sy8G7adRTL1u3B4sn95HFdddsOkV9NC+EdOfkfODs5omurmti294TcF7t4cn+5Ettt8BSkS50MHZpWDZfwCsZCqsV4GdMmD/VYstCEt2SNrpg68v9bGhp3HolaFYujbImAh64Crw8fP6NM3R5y9TRfLlc5l/cfP8mjyWYs2oizl/7F+EHt5TaFJl1GYvGkfkibKmlQf3EaRMmaXTF3Qi+5nSHwEu3Floi9q70wYuISuTLt2aMprt28i2ZdR2PfGm+5VSGQW/AVXs8JC2HwN8g9vGL7g9guIf7vgm5ZQxVesfVD/AES+EDdgNFzkT51sqCtJWJLg/ij4/tV5p/V8s9WeD3GzpPbt8QeZfGwYJWmAzCkZzMpvOLhvs4taqBIgRwIT+wR8Z8LCq9CihRehQDZnQR0QoDCq5NEmzhNLQvvp89f0b6fF16/eY+kieIjfZpkePXmnZS4I6cuodOAySheKDdG9msVdEqDeHjqt1yZ5SqneCI/PCu8ArnYFlCufm/kcE37U+EVcrps/R4YDAZ5bqyDgwNquBdFv04N0KH/RBmPeGhNyGfpOj3g5OQYIpNjB7ZBqSJ5cezMFQwetwDPXrzCb0J6+7ZEnNgx5MkHg8bNx84Dp+R2hS4ta6BS6cIhxjh4/CJGTl4iT2f4/qrabAA6NquGPDkyyvN8xTFq4pQH8YBc4XzZQ3BrWLP0/09pePdBxhN4SoM4+7dxrYCV2tBWeMVxbv1Gzsa/t+7Dzt5eMhvaq5mM++6DJ3JF9uC6iSY9LPYz4b152wfdPafJPIoj496++4C//vwN7n/9jqkL1mP+8q1Sht3/KmRy7CZ+rH7ZjMKrkCKFVyFAdicBnRCg8Ook0SZOU0vCa+KUVdtMPGAmRFUcS6b3a96yrfjv3iN5koLWLgqvwoxSeBUCZHcS0AkBCq9OEm3iNC0hvL5+Bsx5fBXvjL4mRRHX3gWNkmSGk4O+Xy3s6+ePio36YNLQTvLFFHq9xFYK8fDdjNHdkCZlEs1hoPAqTCmFVyFAdicBnRCg8Ook0SZO0xLCK27tbxCPSJp+OQR7JbDpvbTXUmwhEA+GiTN1nRwDXjiht0u8MjlJonjyTGDxsFyngZN/ikDsPxZvpbO1i8KrMGMUXoUA2Z0EdEKAwquTRJs4TUsJr4m3ZzMS0B0BCq/ClFN4FQJkdxLQCQEKr04SbeI0KbwmgmIzEoggAhRehSApvAoBsjsJ6IQAhVcniTZxmhReE0GxGQlEEAEKr0KQFF6FANmdBHRCgMKrk0SbOE0Kr4mg2IwEIogAhVchSAqvQoDsTgI6IUDh1UmiTZwmhddEUGxGAhFEgML7E5BT5q3F8g17cWDtRPnbez5P0XfELHmws3jFn2fPpsidLYP8HYU3giqRw5CAxglQeDWe4HBOj8IbTmBsTgIKCVB4vwN45/5jtOvrhXfvPwYJb4MOw1A4Xw40q1se+4+egzi6Y/vSsfLoEgqvwgpkdxLQCQEKr04SbeI0KbwmgmIzEoggAhTe70CK91/XqlhCSq1Y4X3x6q18d/bRTVPh6BBwNl/1Fh7o1a4O8uV2pfBGUCFyGBLQOgEKr9YzHL75UXjDx4utSUApAQpvMILi9YLHz1xFz3a1UalxPym8Zy7egOf4BVg3b2hQS/GO6AJuWSDeWc0VXqUlyP4koA8CFF595NnUWVJ4TSXFdiQQMQQovN84vn7zHvU7DMOiSX3lvwQK75FTl+A9azWWz/AIIt5v5GxkSp8SjWqUhniVIy8SIAES+BUBP38j5i/zx+kzdnBzM6DWg4FwOH8YhgzZEcVjcohXu4q2KzcacOAg4OoKNDZ6w3HfOhhSZYRL73FwjhOHsDVAwMlR36/z1UAKOQUbI0Dh/ZYwIbH582RBpdKF8erNuyDhFa8b7D9qDjYvGhmU2o4DJqJIgZxyhffZmy82lnKGSwIkYG0C4mWvK9fa4ezZH4XXr5c37IIFZDQCW3bY49DhAOFtZPCC0/71Unj9u4wGYsSydvi8nwUIJIztYoFROSQJkEBoBCi838gUqtguaI+u0WjEqzfvES9OTLniW7XZQBzeMBlRXJxl6/INemNIz6Zwy5GJWxr42SIBEjCJALc0mIRJN424pUE3qeZEVUKAwvuTRARf4RW/btZtNPLmzIwW9dyxfd8JeM9eja1LRklB5h5elVQywyABlROg8Ko8QVYOj8JrZeC8ne4JUHhNEN5HT16g17AZuHz9DlImS4RhvZsjW+Y0sieFV/efIQIgAZMIUHhNwqSbRhRe3aSaE1UJAQqvwkRQeBUCZHcS0AkBCq9OEm3iNCm8JoJiMxKIIAIUXoUgKbwKAbI7CeiEAIVXJ4k2cZoUXhNBsRkJRBABCq9CkBRehQDZnQR0QoDCq5NEmzhNCq+JoNiMBCKIAIVXIUgKr0KA7E4COiFA4dVJok2cJoXXRFBsRgIRRIDCqxAkhVchQHYnAZ0QoPDqJNEmTpPCayIoNiOBCCJA4VUIksKrECC7k4BOCFB4dZJoE6dJ4TURFJuRQAQRoPAqBEnhVQiQ3UlAJwQovDpJtInTpPCaCIrNSCCCCFB4FYKk8CoEyO4koBMCFF6dJNrEaVJ4TQTFZiQQQQQovApBUngVAmR3EtAJAQqvThJt4jQpvCaCYjMSiCACFF6FICm8CgGyOwnohACFVyeJNnGaFF4TQbEZCUQQAQqvQpAUXoUA2Z0EdEKAwquTRJs4TQqviaDYjAQiiACFVyFICq9CgOxOAjohQOHVSaJNnCaF10RQbEYCEUSAwqsQJIVXIUB2JwGdEKDw6iTRJk6TwmsiKDYjgQgiQOFVCJLCqxAgu5OATghQeHWSaBOnSeE1ERSbkUAEEaDwKgRJ4VUIkN1JQCcEKLw6SbSJ06TwmgiKzUgggghQeBWCpPAqBMjuJKATAhRenSTaxGlSeE0ExWYkEEEEKLwKQVJ4FQJkdxLQCQEKr04SbeI0KbwmgmIzEoggAhRehSApvAoBsjsJ6IQAhVcniTZxmhReE0GxGQlEEAEKr0KQFF6FANld0wR8Hj3D/QeP8Pb9BxQukBvRo0XV9Hx/NbmIEN6DRZvgjZ8RaVMmRfq0KXXLUgsTp/BqIYucgy0RoPAqzBaFVyFAdtc8gf2HTyNZkgSIHy8O4sWNrfn5hjbBiBDeSxU7wNcpCuzs7eGaIbVuWWph4hReLWSRc7AlAhRehdmi8CoEyO6aJnDf5zH+u/sQUVyckDBBPKRLnVzT87X0Cu/+PxvDz9EJgD0KF8ilW5ZamDiFVwtZ5BxsiQCFV2G2KLwKAbK7pgl8+gS8/2Av5+jiYkSsmEZNz9eSwuufIQeut+kPP2dH2AFI5xhL/v+8bJMAhdc288aobZcAhVdh7ii8CgGyu6YJPHgIrF3ngK++dqhYwR8Z0hphp1NLU7qlwS9/CfSuWALbPt1Dduf4mJzgT0Szd9R0/Wh5chReLWeXc1MjAVUIb+3Wg1Hh70IoW6Ig4sWJqUZOocZE4bWpdDFYKxO4/wBYsNgBX7/aoV4df2TKQOF1czOg5oOBcDx/GIYM2fG5+wTgu4XvHbsdcegw4OoKNPT3gvOB9RDC28a9MFZ9+A95XRJiWeLSFF4r13NE3o7CG5E0ORYJhE1AFcI7dcF67Nx/ErfuPkThfDlQ4a9CKPFHHkRxcQ57BpHcgsIbyQng7VVNgML7//RExAovhVfV5R6u4Ci84cLFxiSgmIAqhDdwFvd8nmDH/lPYsf8k7tx/jFJF8qLi34VRwC0L7FT6PSiFV3ENcgANE6DwUng1XN6KpkbhVYSPnUkg3ARUJbyB0fv6+WPtlgMYN2MF3n/4hORJEqB5PXfUcC+qOvGl8Ia75thBRwQovBReHZV7uKZK4Q0XLjYmAcUEVCO8RqMRpy/8i407j2DHvpNwdnaS+3orlS6M+w+fYdTkf1CsUG706VBP8aQjcgAKb0TS5FhaI0DhpfBqraYjaj4U3ogiyXFIwDQCqhBer1mrsGnXUTx/+QYlCruhcpnCci+vg0PAcUbiunH7AWq39sTp7TNNm5mVWlF4rQSat7FJAhReCq9NFq4VgqbwWgEyb0ECwQioQnhrt/FE5TJ/oFzJgogVI9pPE/T1qy+mLdyATs2rqSqBFF5VpYPBqIwAhZfCq7KSVE04FF7VpIKB6ISAKoRXsD54/AISJYiLzOkD3g9/9NRl+Pn7o0iBnKpOBYVX1elhcJFMgMJL4Y3kElTt7Sm8qk0NA9MoAVUI76JVOzBxzmpMGNwef+TPIVFv33cSA8fMRcdm1VCvainV4qfwqjY1DEwFBCi8FF4VlKEqQ6DwqjItDErDBFQhvCVqdME4j7bIkz1jCNRnLv6LnkOmY9eK8apNAYVXtalhYCogQOGl8KqgDFUZbBKlnAAAIABJREFUAoVXlWlhUBomoArhzf1Xc+xf7Y3YsaKHQP3sxWv8XacHzu6YpdoUUHhVmxoGpgICFF4KrwrKUJUhUHhVmRYGpWECqhDeRp1GwDVDKnRoWhUxokeVuF+8eosx05bhybOXmDeht2pTQOFVbWoYmAoIUHjDFt4DJZrL88V9ff1QKF/AMwt8tbAKitfCIVB4LQyYw5PAdwRUIbz/3XuErh5TcOuuD+LEigGD0YjXb94jU7oUcl9vmpRJVJs4Cq9qU8PAVECAwhu28F6q2gVRo0TBg4dPUCBvwDMMFF4VFK+FQ6DwWhgwhycBNQqviEm8eOLi1f9w/9EzGWKqZImQ3TWt6t6s9n0FUXj5mSKB0AlQeMMW3n3FmuLVq7dIEC8u8rllpfDq5ANF4dVJojlN1RBQxQpvoPCKbQxfvvr+AEe8WlitF4VXrZlhXGogQOH9tfD65SuOTXUa4K2/L2I6OKB0lFSAnR1XeNVQvBaOgcJrYcAcngTUuMK7be8JDB43H2/ff/xpgi7vm6/axFF4VZsaBqYCAhTeMIS3WEVULpYRhz89xh9RkmJZ4tLCdym8KqhdS4dA4bU0YY5PAiEJqGKFt1TNrmhWt7w8g9fJyfGHHCVJGE+1eaPwqjY1DEwFBCi8FF4VlKEqQ6DwqjItDErDBFQhvGXr9cTWJaNtEjOF1ybTxqCtRIDCS+G1UqnZ3G0ovDaXMgZs4wRUIbzt+nqhZ9s6SJ0isc3hpPDaXMoYsBUJUHgpvFYsN5u6FYXXptLFYDVAQBXCu3DldixavRPFfs+FpInjww52IdA2qV1WtagpvKpNDQNTAQEKL4VXBWWoyhAovKpMC4PSMAFVCG/NVoNgb28fKuZl0wZaPAUGgxHjpi/Hhh2H4W8woEj+nPDo1hjRorrgns9T9B0xC1dv3IU4McKzZ1PkzpZBxkThtXhqeAMbJkDhpfDacPlaNHQKr0XxcnAS+IGAKoRXDXlZuWkfVm/aj+mjuskH59r2mYCCebOiTcNKaNBhGArnyyEfrNt/9ByGT1yM7UvHwsnRgcKrhuQxBtUSoPBSeFVbnJEcGIU3khPA2+uOgGqE9+6DJ9i08wh8Hj/H8D4tIFZcz12+AbccmaySlPNXbsHF2Um+4lhcs//ZjFt3HqJ7m1ooU7cHjm6aCkcHB/m76i080KtdHeTL7UrhtUp2eBNbJUDhpfDaau1aOm4Kr6UJc3wSCElAFcJ74Nh5dBwwCflzu+LwyUsQ5+4+fPwcVZoNQJ8O9VC5zB9WzZuQ7k4DJqF53fJIlCAuPMcvwLp5Q4Ni6O45DQXcsqCGezEKr1Uzw5vZGgEKL4XX1mrWWvFSeK1FmvchgQACqhDeas0Hon3TKiheKA+yFWsshVdcJ85ew+Dx87F50Uir5atWq8G4dP02alcqgX6dGuDYmcvwnrUay2d4BMXQb+RsZEqfEo1qlMYXX3+rxcYbkYCtEbh6wx8z5wFfv9qhcX0jfsvlIF+soLfLz2DEwmUGnD5jBzc3A2o9GAiH84fh992LJ7akKw8HOzus2mjEgUOAqyvQ2OgNx33r4Je/BNpWKIyV7/9DXpeE2Jy2POI4O+sNpWbm6+IU8I0hLxIgAesQUIXw5i3dEie2TIeDg30I4fXz90e+sq1xdscs69D4dhfxiuORk5cgdswYKF+qIPqPmhNCujsOmIgiBXLKFd4Xb79aNTbejARsicB/d42Yt9BOCm+DugZkc7XTpfAajMCKtcDZs78W3tXJy8Lezg6bd9jh4DfhbWTwgtP+9VJ421QojFXfhHd1srKI4ehkS+XAWIMRiB+Lf6ywIEjAmgRUIbziTWuThnVCloypQwiv2OowxGsRdi4ba3EmB49fQPKkCZEuVVJ5r5PnrmHQuPlYPLkfStXshsMbJiOKS8B/oMo36I0hPZvK/cU8pcHiqeENbJgAtzT8P3lrNzjg7LkA4a35YCAcf7LCy1cL23CxhzN0bmkIJzA2JwGFBFQhvItW7ZAPidWqWBxT5q+TD4T9+98DbNl9DN3b1EbdKiUVTjPs7hNmrsSVf+9iwuB28uG1od6L8O79R4wf1A7Nuo1G3pyZ0aKeO7bvOwHv2auxdcko+RAbhTdstmyhXwIUXgqvfqv/1zOn8LIySMC6BFQhvGLK+4+ex9J1u3HP54k8kzdV8kSoU7mk3Dpgjevzl68Y6rUI+46cg8FoQJ7sGeHRtTESJYiDR09eoNewGbh8/Q5SJkuEYb2bI1vmNDIsCq81ssN72CoBCi+F11Zr19JxU3gtTZjjk0BIAqoRXltNDIXXVjPHuK1BgMJL4bVGndniPSi8tpg1xmzLBFQhvCMmLQmVob+/Af07N1AtYwqvalPDwFRAgMJL4VVBGaoyBAqvKtPCoDRMQBXC23ng5BCIxZaCR09e4s79xyhfsiAGdW+s2hRQeFWbGgamAgIUXgqvCspQlSFQeFWZFgalYQKqEN7Q+O49chZHT11B3471VJsCCq9qU8PAVECAwkvhVUEZqjIECq8q08KgNExA1cIruIsjwKz54onw5prCG15ibK8nAhReCq+e6j08c6XwhocW25KAcgKqFt6bt33kkWD713grn6mFRqDwWggsh9UEAQovhVcThWyBSVB4LQCVQ5LALwioQniLV+/8Q4i+vv549eYdWjWogI7Nqqk2iRRe1aaGgamAAIWXwquCMlRlCBReVaaFQWmYgCqEd8vu4z8gjuLihDSpkga9+UytOaDwqjUzjEsNBCi8FF411KEaY6DwqjErjEnLBFQhvLYMmMJry9lj7JYmQOGl8Fq6xmx1fAqvrWaOcdsqAVUIb+k6PeDo6GASQ7U9wEbhNSltbKRTAhReCq9OSz/MaVN4w0TEBiQQoQRUIbyLV+/E/OVbUeIPN6RKnhj+BgNu3fHBoRMXUbdKKcSJFSNo0tXdi0YoAKWDUXiVEmR/LROg8FJ4tVzfSuZG4VVCj31JIPwEVCG8TbqMRJcWNZAza/oQMzhy6hLmLN2COeN6hn9mVupB4bUSaN7GJglQeCm8Nlm4VgiawmsFyLwFCQQjoArhdfu7BY5tmgpnZ6cQyXn3/iOKVu2EMztmqTZpFF7VpoaBqYAAhZfCq4IyVGUIFF5VpoVBaZiAKoS3UpN+KFHYDS3qlUe0qFEk7o+fPmP6wg3Yd/Q8NswfptoUUHhVmxoGpgICFF4KrwrKUJUhUHhVmRYGpWECqhDeMxdvoIvHZHnurtivazQa8frte8SMEQ3enh2QL7eralNA4VVtahiYCghQeCm8KihDVYZA4VVlWhiUhgmoQngFX18/f5y9eANPn7+SwpswQRy4Zc/4wzYHteWCwqu2jDAeNRGg8FJ41VSPaoqFwqumbDAWPRBQjfD6+fvjzIUb8Hn8DFXKFpHsP3z8jOjRArY4qPWi8Ko1M4xLDQQovBReNdShGmOg8KoxK4xJywRUIby37z1Cm94T8Pzla3z6/BWX982Hz+PnqN58IGaM7vbD6Q1qSgiFV03ZYCxqI0DhpfCqrSbVEg+FVy2ZYBx6IaAK4W3efQxyZkmHdo2rIGfJplJ4xbVkzU6I1w4vmdJftfmg8Ko2NQxMBQQovBReFZShKkOg8KoyLQxKwwRUIby/u7fFvjXecHF2QrZijYOEV+zr/d29DU5tm6naFFB4VZsaBqYCAhReCq8KylCVIVB4VZkWBqVhAqoQ3kIV2mH9/GFIGD9OCOH9794jNOgwDIfXT1ZtCii8qk0NA1MBAQovhVcFZajKECi8qkwLg9IwAVUI7+Bx83H7/mO0a1wZjTuPxOrZnrh+6748h7fQb9kwoEtD1aaAwqva1DAwFRCg8FJ4VVCGqgyBwqvKtDAoDRNQhfB+/vIVk+auwYoNe/Hx0xeJW7yAonalEmjftIrc6qDWi8Kr1swwLjUQoPBSeNVQh2qMgcKrxqwwJi0TUIXwBgIW5+8+f/kGdnZ2SBAvtk1wp/DaRJoYZCQRoPBSeCOp9FR/Wwqv6lPEADVGINKFV5y/+2eVjtgwf7jNSG7wGqDwauwTwelEKAEKL4U3QgtKQ4NReDWUTE7FJghEuvAKSh36T0RBt6yoV7WUTUCj8NpcmhhwJBGg8FJ4I6n0VH9bCq/qU8QANUZAFcLbf9QcHDpxEc5OjkiZPBGcnULu2Z02sotqsXOFV7WpYWAqIEDhpfCqoAxVGQKFV5VpYVAaJqAK4R01ZSkcHRxgZ/dz0l1b1VRtCii8qk0NA1MBAQovhVcFZajKECi8qkwLg9IwAVUIry3zpfDacvYYu6UJUHgpvJauMVsdn8Jrq5lj3LZKIFKFN0eJJti8aBRSJU8UxK9qswHw8myPVMkT2wRTCq9NpIlBRhKB8AiveLPilp2HkDljavj5+iN7lvSRFLVlbrt2gwPOnrODm5sBNR8MhOP5w/ArVhGVi2XE4U+P8UeUpFiWuLT8pmvHbkccOgy4ugIN/b3gfGA9/PKXQBv3wlj14T/kdUko20azd7RMsBzV4gQovBZHzBuQQAgCkSq84jXCW5cI4f2/3AoJXjNnCDKmTWETqaLw2kSaGGQkEQiP8IoQj5++iKyu6XHj5l245coSSVFb5rYUXstwtdVRKby2mjnGbasEKLwKM0fhVQiQ3TVNIDzC+/HTZ2zcfgDZMqeDr68/8uTMrCk2FF5NpVPxZCi8ihFyABIIFwEKb7hw/diYwqsQILtrmkB4hPfFS+DqNXv4+QGpUgNpU/vDDqE8yWqD1Ci8Npg0C4ZM4bUgXA5NAj8hQOFVWBYUXoUA2V3TBMIjvI8e22HhEnt8+GCHKpX8kTuXgcLLPbya/XxQeDWbWk5MpQQiXXib1y2POLFiBOEZN2MFGtUoHeKta01ql1UpPoDCq9rUMDAVEKDw/j8JXOFVQUGqKAQKr4qSwVB0QSBShbd8g94mQd68aKRJ7SKjEYU3MqjznrZCgMJL4bWVWrV2nBReaxPn/fROIFKFVwvwKbxayCLnYCkCFF4Kr6Vqy9bHpfDaegYZv60RoPAqzBiFVyFAdtc0AQovhVfTBa5gchReBfDYlQTMIEDhNQNa8C4UXoUA2V3TBCi8FF5NF7iCyVF4FcBjVxIwgwCF1wxoFF6F0NhdNwQovNYV3ms378LP1xcPnzzH38UK6qbObHGiFF5bzBpjtmUCFF6F2eMKr0KA7K5pAhRe6wrvuw8fce/+IxiNRmTPkkHTtWXrk6Pw2noGGb+tEaDwKswYhVchQHbXNAEKr3WFd8feo8iUPjVOnb2Cyu7F4ejgoOn6suXJUXhtOXuM3RYJUHgVZo3CqxAgu2uaAIXXmsJrhP0TH+DLJ8DOHob4yYBoUTVdX7Y8OQqvLWePsdsiAQpvsKxNW7gey9btga+vHwrlyw7PHk0QLWoU3PN5ir4jZuHqjbtIniQBPHs2Re5sAV8XUnhtsewZs7UIUHitKbyA0/ZlcNyxDIaEyfG1pQeM8RJZK9W8TzgJUHjDCYzNSUAhAQrvN4A79p/CxDmrMXd8L8SIHgUd+k9E3pyZ0bZRJTToMAyF8+VAs7rlsf/oOQyfuBjbl46Fk6OD5oXX59Ez3H3wCL6+vkifOgVSJE+ssOQCuvv6+WPLzkNImTwRori4IGvmdBEyLgdRFwEKr5WFd8siOG1cCEPilPjSYQSM8SPm86quqtJGNBRebeSRs7AdAhTeb7m6dP22XNnNkz2j/JcFK7fjyr930LNtHZSp2wNHN00N2g9XvYUHerWrg3y5XTUvvILF8dMXET1aNDg42CNLprQRVt2WGjfCAuRAiglQeCm8iotIowNQeDWaWE5LtQQovKGkpnWv8ShZxA3pUyeH5/gFWDdvaFDL7p7TUMAtC2q4F9O88F64fAOfv3zFp8+fI3SF9+Onz9i4/QDSp0mJqFGckc01vWo/JAzMfAIUXgqv+dWj7Z4UXm3nl7NTHwEK709yMnX+Opy+8C9mje2BY2cuw3vWaiyf4RHUst/I2ciUPiUa1SiNT1/81ZfVCIzo/ScjPn0KGDBqFCNiRLOPkNE/fTHi/YeAoZycjIgTM2LGjZDgOEiEEbh2yx+z5gFfv9qhUX0j8uZwgJ3dz4e/ddcfs+YDHz7YoXpVI4oUsId9aI0jLELrDORnMGLRCgPOnLGDm5sBtR4MhMP5w/ArVhGVi2XE4U+P8UeUpNicpjzs7e2wZpMRBw4Brq5AY6M3HPetg1/+EmhboTBWvv8PeV0SYmPq8ojj7Bw0AYPRiM+r58Nh/Xy5pcG++2i4JElmnQnyLuEmENWFJ2iEGxo7kIACAhTeYPDE2ZUjJi3B3QdPMGFwe0SL6oKzl26g/6g52LxoZFDLjgMmokiBnHKF99X7rwrwq7/rrdtGrN0YYCiV3I3ImC4UWwnnVO75GLFhM/Dpkx1KFDPCLSdgpxG5CScKTTe/dceIuQvspPA2qGdAjix2oQrv3QdGzFtoJ4W3ahUDCubVTk0YjMCy1cDZs78W3rUpy8IOdti03Q4HvwlvI4MXnPavl8LbpkJhrPomvGtSlEVMR6eg+hH//TKsWwjHjQuk8Bq6jIJDoiSari9bnlzcGP//Y8WW58HYScBWCFB4g2Vq9JSlePL8FUb2ayUfSBPXqzfvUKpmNxzeMBlRXAL+A1W+QW8M6dkUbjkyaX5Lw517dpi3IIBF4wb+SJvGGCG1/eixHRYusZdyU6WSP3LnMsj/oeelLQLc0vD/fK7d4ICz5wKEt+aDgXD8yQrvssSl5R8EO3Y74tDhgBXehv5ecD7wTXjdC2PVh4AVXtE2mr1jiIJx4kNrNvMB4pYGm0kVA9UIAQrvt0SePHcNw7wXY9XswT8c1t6s22h5YkOLeu7Yvu8EvGevxtYlo2Q7rR9LRuHVyCc9kqZB4aXwRlLpqf62FF7Vp4gBaowAhfdbQvsMn4VNu47AIdibiTKkSY5Vswbj0ZMX6DVsBi5fv4OUyRJhWO/myJY5jexJ4TXvE8EVXvO42VovCi+F19Zq1lrxUnitRZr3IYEAAhRehZVA4TUPIIXXPG621ovCS+G1tZq1VrwUXmuR5n1IgMIbITVA4TUPI4XXPG621ovCS+G1tZq1VrwUXmuR5n1IgMIbITVA4TUPI4XXPG621ovCS+G1tZq1VrwUXmuR5n1IgMIbITVA4TUPI4XXPG6W6vXq9Vvc+O8+vvr6yn3qqVNGzPmtwYW3gvsrGIz34Ov383vYYk3s2HdMvpzm2YvXKPhbjl+mh6c0WKp6bXNcCq9t5o1R2y4B7uFVmDsKr3kAbVFuzJup7fS6dPUm7j14jGxZ0iN1iqQREvj3K7xffW/gvs/P72GLNSGYuTg74Z7PE5T8Mz+FN0KqRh+DUHj1kWfOUj0EKLwKc0HhNQ+gLcqNeTO1jV5v3rzHoRNnEStmDCRNkgAZ0qSMkMCDC2/lSq/w6Om5gHskToAMaUPewxZrYsvOQ0iUMB6++vqhUL6cFN4IqRp9DELh1UeeOUv1EKDwKswFhdc8gLYoN+bN1DZ6PXhoj7t3AXt7IH06AxIljJi4gwtvj1o3EffBaXE0DPxd88CQIn2Im9haTYg3m52/GPDylGjRgdw5/X/58hRuaYiYmtLKKBRerWSS87AVAhRehZmi8JoH0NbkxrxZ2k6v6zfssGSpA5ydgYb1/ZEqRcS8US+48PaufB7xZ3aHnb8fPncaDYNrHpsWXhH8wn8ccPOmHdKlNaJRff9QX5ss2lJ4befzYI1IKbzWoMx7kMD/CVB4FVYDhdc8gBRe87hZqheF1zyyFF7zuLEXQOFlFZCAdQlQeBXypvCaB5DCax43S/Wi8JpHlsJrHjf2ovCyBkjA2gQovAqJU3jNA0jhNY+bpXpReM0jS+E1jxt7UXhZAyRgbQIUXoXEKbzmAaTwmsfNUr0ovOaRpfCax429KLysARKwNgEKr0LiFF7zAFJ4zeNmqV4UXvPIUnjN48ZeFF7WAAlYmwCFVyFxCq95ACm85nGzVC8Kr3lkKbzmcWMvCi9rgASsTYDCq5A4hdc8gBRe87hZqheF1zyyFF7zuLEXhZc1QALWJkDhVUicwmseQAqvedws1YvCax5ZCq953NiLwssaIAFrE6DwKiRO4TUPIIXXPG6W6kXhNY8shdc8buxF4WUNkIC1CVB4FRKn8JoHkMJrHjdL9aLwmkeWwmseN/ai8LIGSMDaBCi8ColTeM0DSOE1j5ulelF4zSNL4TWPG3tReFkDJGBtAhRehcQpvOYBpPCax81SvSi85pGl8JrHjb0ovKwBErA2AQqvQuIUXvMAUnjN42apXhRe88hSeM3jxl4UXtYACVibAIVXIXEKr3kAKbzmcbNULwqveWQpvOZxYy8KL2uABKxNgMKrkDiF1zyAFF7zuFmqF4XXPLIUXvO4sReFlzVAAtYmQOFVSJzCax5ArQvvjn3H8Hexgti+5whKlyhkHiQr9qLwmgebwmseN/ai8LIGSMDaBCi8ColTeM0DqHXhvXT1JhLEj4v/7vqgUL6c5kGyYi8Kr3mwKbzmcWMvCi9rgASsTYDCq5A4hdc8gFoX3i07DyFp4gR4+vwlV3gXO+DrVzv0rnwe8Wd2h52/Hz53Gg2Da54QxWOLNUHhNe/zz14UXtYACVibAIVXIXEKr3kAbVFuwjVTOzvAaAxXl8hszBVe8+hTeM3jxl4UXtYACVibwP/aOw/wKIo3jL93l0J6QgmhN+m99yJdepHeFFQQRP8UaSJNkCKogIj0IiAqSJEqKL333pHeIUASUu/u/8zEhAQSkt29DXfh3efxITHzfTv7m29n352d+YaCVyNxCl51AFO74N2734ibtwzw9bWiamUrXJztW/xS8KqLYwpeddxoRcHLGCCBlCZAwauROAWvOoCpXfCuWG3CkaMGZM1qxXsdzXBxUccppawoeNWRpuBVx41WFLyMARJIaQIUvBqJU/CqA0jBq46bEqvjpy4gra83Dp84iyb1q7/S1B4F7/3APfD19kJAxnTIniVAyaWnWFl7FrwH6nWHX/acyWr/FAPGE8USyJzOjTRIgARSkAAFr0bYFLzqAFLwquOmxOrew0BYzBacu3gF1SuVdjjB6+RyHm6urnBzS4MsmfyVXHqKlbVnwXu94yCYvdMlq/1TDBhPRMHLGCCB10SAglcjeApedQApeNVxU2J18swlhIaG4ead+2hUryqcTKZEze1thLdZ40hcvrYZmTP5wz+9H97KnV3JpadYWXsWvAcb9EKoUxrZ/g3rVoWzU+Ltn2LAeCIKXsYACbwmAhS8GsFT8KoDSMGrjluyrazA9ZtG3L4NCJ2TM5cVaf0SXzhnb4L3kxZXkTnwKAwWM8w58sKcoyBE4gt7O+xV8JrfKop1H32C64iAh8EZddyzwtfoam/43uj6cErDG938vPjXQICCVyN0Cl51ACl41XFTYnX0uBF/rDTCy9OKjh2syJTR4jAjvH2anEbmRQNhCAlG+AdfwlyqGkDBi48bVcaykMso7ZoBSzPWg7vRKV6bOq/7Gc5/LkRUobIY0a45pgWfQiGXtFicsS78TWmUhA/L6kyAgldnwHRPAi8QoODVGBIUvOoAUvCq46bEioJXCa3nZcW20IXz58HVG7eT3CXPHkZ4xeJEPz8fnLvwL94JOU/Bq67ZU9yKgjfFkfOEbzgBCl6NAUDBqw4gBa86bkqsKHiV0HpeVmwLXaTgW9h36ATKly76Sif2IHhjFifevfcAZa7tp+BV1+wpbkXBm+LIecI3nAAFr8YAoOBVB5CCVx03JVYUvEpoPS8rtoX28faEs7MzypUqbPeCVyxODHkWigePAtE04gpc1nBKg7qWT1krCt6U5c2zkQAFr8YYoOBVB5CCVx03JVYUvEpoRZcVC+Ou3zDCbAZMTkCWTGYYXrFazh5GeO/cNSA83CA3N8l6cAFc11LwKm/5lLeg4E155jzjm02Agldj+1PwqgNIwauOmxIrCl4ltKLLRkQA83824cZNA0oUs6B5U/sXvLv3GrHhLyNy57Sgq98CpFlHwau85VPegoI35ZnzjG82AQpeje1PwasO4IuC99a97dJRwzpV1Tm0Myt72FqYgld5UFDwKmdGC3UEKHjVcaMVCaglQMGrltx/dhS86gC+KHgNprPigzJKFMmnzqGdWVHwRjfI9RvAgkUmREQYMKjZMaSb2R8GcxTCPpsAS4GS8Votbky8rrRkFLx2diOl4upQ8KbixuWl2SUBCl6NzULBqw5gXHHTpFEkLl7bhDTOzqhUoQT80/mpc2pHVhS8FLwvhmNMTJQqZUHrG8PgdGwXomo0QbMaebEr9A6qpMkkc+uKKcN//e2EnbuAAgWAzubv4bJ9FaLK1UwwDy+nNNjRja+gKhS8CmCxKAnYgAAFr0aIFLzqAMYVvF3fDUTutI8AK2BxdQfSZlDn1I6sKHgpeCl47eiGtMOqUPDaYaOwSqmaAAVvnOZ99DgIg8bMwJ37gVg9f0zsX67dvIchY2fhzIWryBKQHqMGdEWJwm/Jv1Pwqrs/4grevs3OImD1OBiePUNEm09gLlbJLnfVUnKlFLwUvBS8Su6YN68sBe+b1+a84tdLgIL3P/4hz8LQ7uNRqF6xBLbtPRZP8HbqPQaVyxZFt/YNsW3PUXw9ZRE2/jIRzk4mCl6V8ZvYfM077T7HWY8sCA0PQ54cWZE1S0aVZ3i9ZhS8FLwUvK/3HrT3s1Pw2nsLsX6pjQAF738t+iw0DA8ePZH/jZi0IFbwPgx8ivrtP8eeNT/CyWSSpd/9cDgG9mqHsiUKUPCqvCNetUDpmFtmmRDVZDKiYL5cKs/wes0oeCl4KXhf7z1o72en4LX3FmL9UhsBCt4XWvTwifPxBO/hExcw6tsFWDlvdGzJ/qOmo3ypgmjVqAYFr8o74lUjvDvC3eDp4c4RXpVsY8yYlkw5QGZpUM6MFuoIUPCq40YrElA6rfy4AAAgAElEQVRLgII3CcG7++BJTJ61HL/OGB5b8otxs5EvTzZ0aVUPIWFRatk7hN3p8xbMnGuQdf3gfSuK5DfapN6Xr1owewEQEmJA3yZnkGnRABhCghHx6VhEFC8tV6o7wwAPJ2ebnC8lnZgtViz6zYrDRwzImtWKnt0M8HCPZphSh9UK7Npvxe9/AF6eVnTtAuTOnnjbHT5uxoLFRrlbV7f3rCiQxzbtfO6SGbPnG2RassHNjyPtjH4yLVlU32/gVqJsPByJxURU92FIU6mmjAm9j5BnVvw42yo3nihZ3IKObQxwMiXMIspixfQ5Vly8aEDuXFb0/NAAZ1PClYwbEyJLQ5sbw2BKIEvDnzkbwmgAVq4Ftu+MztLwnnUynLaulFkaejaujN+DL6O0awasztEAXk7O2LTVinUbDHLjiW5pF8J17QJEFSqLke2b44egUyjkkhZ/ZK+PrK4eeuOjfwUEPNI4KSjNoiRAAloJUPAmIXiPnLyAoePnYO3P42JLfvrlFFQtX0yO8D4JidTaBnZtf+6iBbPmRT/wu3WxoGA+2wihK9ctmLvQIAVv3Jyr+0b9iJHmSwi1RuGLtGVQ2ztriggdWzaCxQr8suy54O3+PuDulgJqLe5FWIG9B634fYVBCt73OwM5siZeh2OnLFj4n+Dt2sWKvLlsU9+L/1owZ8HLgjeyzzdwKVYmHvbEYiKy+zA4l387ReLgWagVM+YiVvC2a2WASSjQBA4hYmfOR6zg7d4VcEpE8MaNiVcJ3pXZGkjBu3qDATv+E7xdLN/Dedt/ackaV8ay/wTvimwN4GlywpbtwLqNrxa8y7LWR2YXd1uGOX1pJODj4Xgv8xovmeYk8FoJUPAmIXgDnwShdut+2LX6B6RxdZGlG3YahK8GdEWpovk4pUFl+CY2pWHX8MloE34YIdYoLPCvjVpujid4BRLO4Y0ODG488fwGYR5elZ1FKjXjlIZU2rC8LLslQMGbhOCVI5v9JqB0sfz4sEMjbNy6H5NnL8f6xePlIjamJVMX2xS86rgpseIcXiW0ostyDq9yZrRQR4CCVx03WpGAWgIUvP+R27zjEMRiNFitiIwyw9nZCbmyBWDF3NG4ffchBo6ZgVPnriBbZn+MGfQBCufPKS0peNWFHgWvOm5KrCh4ldCi4FVOixZaCFDwaqFHWxJQToCCVzmzeBYUvOoAKhG8oWFh2L7nMHJmywKL1YJCr0hVFhoahm0xZWFBoby2S2u2cv1WlC9VDJevXEfl8sVfeeGpeUrDpas38SjwKYxGA/zT+SJbloBEWdjDlAYlMcERXnX3M62UE6DgVc6MFiSghQAFrxZ6HOFVTU+J4H0SZMD+AwaEhRmQO7cVRQpaEj1vSLAB+w4ZEBxsQLZsVpQoarHZYqeduw14FGiEn68FVStb31jBe+u2AQcPGyXXUiUtyJIpcRb2IHiVxAQFr+pbmoYKCVDwKgTG4iSgkQAFr0aAHOFVB1CJ4H0UaMCCRUY8fmxA/boWVKxgQWI5BIKCgYWLTLh7zyBFaZ2aUXITC1scC5eYYlfkd+lofqXb1DzCe+WaAfMWRG/C8l4nM3LltG/BqyQmKHhtcafQR3IIUPAmhxLLkIDtCFDwamRJwasOIAWvOm5KrPSaw0vB+7wV1LwEibRkrW8Mg1MCeXiXZqwnX6T++tsJO3dF5+HtbP4eLtv/S0vWqDKWhUTn4RVl3Y1O2L3XiA1/GWUe3q5+C5Bm3UKZh3dEu+aYFhydh3dxxrrwN6VREj4sqzMBCl6dAdM9CbxAgIJXY0hQ8KoDSMGrjpsSKwreaFoc4aXgVXLfpFRZCt6UIs3zkEA0AQpejZFAwasOIAWvOm5KrNQK3urVL8HZOQju7mng5+P50qI0jvAmPMLr5r0B1SqUTnRRI/PwKone1F+Wgjf1tzGv0L4IUPBqbA8KXnUAKXjVcVNipUbwursB/2t8Gp6PLgNGEyx5CsOSIXO801Lwvix4S5e0oHnWbTCGhsDq7o2oEpVemmdOwaskelN/WQre1N/GvEL7IkDBq7E9KHjVAaTgVcdNiZUawevpCfSt+A+8F34Fq4c3wnuPhSVHPgreRMDHzOGtXNGCxsc+g9OlkzCXqIqw7sMoeJUE6xtYloL3DWx0XvJrJUDBqxE/Ba86gBS86rgpsaLgjaaVEnN4KXiVRCbLCgIUvIwDEkhZAhS8GnlT8KoDSMGrjpsSKwpeCl5maVByx6RsWQrelOXNs5EABa/GGHBEwfv0aTBu3L6HqCgz/Hy9XrlTlpL5mkpQUvAqoaWubEoI3nebP4FrmgcICnkG//R+L8WSPWw8wRFe7VkalPQZ6qL1zbOi4H3z2pxX/HoJUPBq5O+IgvfRIwOCQqI3Y/D1tsDHJ3EIFLzP2ajJuZo1qxXvdTTDxUVjoKkwTwnB26/9dfjioaydxTcDkC5jvJpS8D7H4aiL1qxWwHTvBhD8WG7iYk0bAKtvOhURSZO4BCh4GQ8kkLIEKHg18nZEwXv+ogG/LDVJEdaxvRnZsia+UxYFLwVvYovWxAYJQxodgM/sLwAnZ4T3/lpmdYh7UPA6vuAVV2A6vAMuc8fKhYwRvb6CJXtejT0nzSl4GQMkkLIEKHg18nZEwXvuggGLf4kWvJ07mpGdgjdZUcAR3mhMMS9BUvA23A/fmQOl4A373wRY8hSh4E2FWRpMh7bDdXbimTuSdQOxUDwCFLwMCBJIWQIUvBp5U/CqA8g5vOq4KbHSe0oDBS/wpqQlo+BVcuclrywFb/I4sRQJ2IoABa9GkkLwrtu0EyWLFcTlKzdQuXxxjR71N+cIrzrGHOHlCO+LkUPBq+5eohXTkjEGSCClCVDwaiR+60EoHj8xIspiFRs1I72fRocpYE7Bqw4yBS8FLwVvwpuRqLuj3mwrjvC+2e3Pq095AhS8GpmLEd4Nm0w4fdqATJmsaNns9azIV3IZFLxKaD0vS8FLwUvBS8Grrvd42YqC11Yk6YcEkkeAgjd5nBItJQRvTLqh15mCSsllUPAqoUXB+8osDVy0hosXDUjtO61xDq+6PuNVVhS8tmdKjyTwKgIUvBrjg4JXHUAuWlPHTYkVF61F0+LGE9o3nqDgVXLnJa8sBW/yOLEUCdiKAAWvRpIUvOoApoTgLVXqKXx9TyHAPwMssKJQvlzqKvuflV5TGnbvP4asmQNw5vwl1KpeHk4mk6Z6xhjHFbyFihxB0UIZ5Tnc3d2QI2vmeOeLGfX39AT6VvwH3gsTT0Fli7RkR5r3Q1T2fAgLD4/doS2xmDj6zseIzFsCYRHPyyoBRMH7Zgjex0+CcPTEOQT4p7fJ/a4kxtSUpeBVQ402JKCeAAWvenbSkoJXHcCUELxv17CgZsWw6N2hnJzVVTSOlV6C12wWJ4ne+c7kZAUS3wdE0TXEFbzvvwdk8A6T9hYnZ0TCIn92gVH+m9KCN2zAZITlKhBdB4NRXnNiMRHWawzCCpeRiFwkp2hWyT0oeN8MwSviwWyOuY8AiC3i7Pig4LXjxmHVUiUBCl6NzUrBqw5gSgje9xvcRv6jM2EMvI+ICrVhrtJIaF/Vh16Cd88+E06dAvz8gLq1LfDyss2DOkbwZspowcfF/0GaHSthyZQdPzdqiCWhlxDg5I4hfqWRw8krxQXvzrGz8FXoadkWX6QtizKuGRIVvPtH/YjR5ssItZrxuV9JVHbNpKgdKXjfDMH7KNCAvzYZERwMlC5tRYniFoWvRqq7BlWGFLyqsNGIBFQToOBVjS7akIJXHcCUELxd6t1C4XUDYLx3ExGNuyDynY6KhNKLV6aX4P3rbyfs3AX4+wNdOpj1EbxvrYL7sikw58yPKR90w6igY8jp7IVFGesgl5N3igvef8ZMR6unO2GAAUsD6qFSmoBEBe+u4ZPRJvwwQqxRWOBfG7XcsipqRwreN0PwPnxkwIJFRjx+bED9uhZUrEDBq653phUJpE4CFLwa25WCVx1ACt7n3Ch4KXh3hd5BlTSZsDRjPSnmY2KiQAGgs/l7uGxfhahyNfFxo8pYFnIZpV0zyLLuRifs3mvEhr+MyJ3Tgq5+C5Bm3UJEFSqLEe2aY1rwKRRyoeBV10vpa8URXn350jsJvEiAgldjTFDwqgNIwUvByxHeXYiq0QTNauQFBa+6fiSuFUd4tTOkBxJIzQQoeDW2rqML3hbNHiL42U24ubrA19cL2bJkjEckZkW++J8tmj+E2XxHrAZBhnS+yJY1QDU9tYK3Tu0wmJxOIa2vLyywvJR5Ie7na05pMOKPlUbIObwqpzScavU5zOky4/K1m6hVvZzMIGGLLA1apzSER0TgyLEz8EskDuIGZopPaShZDX8Vboh8uXPg8rXrqFy+hKxOTL7uUqUsaH1jGJyOvV7Be/Hf67CardFtW6McnIyJZwdJKi3Zw0ePcfX63ei+Ib0vsmVR3zeo7VTsUfBu23X4vzh4edt5jvCqbWnakYA6AhS86rjFWjmy4PXwAPrUOwyPs7thdXaBtVwtmDPlSFDwis+sg1ueguepLbAajLCUrwVL1jyq6akVvD2a3kCO6xuBsFBY8peEuUg5mYUh5qDgfd4k8RatqRC8lvQB2NhvBLZYHsHd6Ix3PfMgt5OXXQjep0EGHD5qRFgYkD27BYULJL7QL6UF79NGnTCrSmncNT9DflcftPPIZ5eC13h8P0znDwNp3BFVvhasGbIkej8nJXhv3THg2PHojB/Fi5qROZPqrkG1ob0JXhGRzn8vhyHwPiwZsiCqmlg0+7yvouBV3dQ0JAFVBCh4VWF7buTIgtfWOVeVoFQreD9udBm5fh8I4+MHiGjbG5HVGsd7iFDw2lDwZsiChf/rjz5PDyKjyQ0/Z6yDwi5p7ULwihX5yV2glNKC90mz99GimA8Oh99HW8+8mJSuknwps6sRXqsVTtv/hMvSqbD4ZUBE77GwvPCyG/d+Tkrwxv0S9F4nM3LltE2mESV9ir0JXlF3l4l94HTpJMwlqiKs+7B4WSMoeJW0LsuSgHYCFLwaGVLwqgNIwfucm70uWhOjUhS85ngvVC9Ge0zmjrhbC1PwUvDGxAkFr7rnA61IQA8CFLwaqVLwqgNIwUvBq2XRGkd4NWZp4Aivuo5LoRUFr0JgLE4COhKg4NUIV6ngPXnmIlxdXHH56o3YRUAaq6DYXK9dtZRUxBaCN6hVL2y2+iNXjqyIsppRKG8uJDalIahBZ/zjlQ/ZMgfEW+y2ftMulChaEJevisVFxV95CWrz8GbKvB1lShTEv1ev4/HTIJQsWije+RIb4V27aSdKFS0k7SolUbeEKq55Dq/CEd4rXb7EZasnPNzd4OvrKRcuXb8BLFhkQkSEAYOaHUO6mf1hMEdB66I1Cl51gvfk2YtwdXbFzdt3Udt8K3ZKw6GGn8AlIFui/ZItpzTcvvMAN27dg8lktOkCt7hTGmrXCkd41EFkyxQAi8Ei+wYth5J+Iu55KHi1UKctCdiWAAWvRp5KBe/lqwaEBBng5GxFjuyAu1vKz3VLLYL3Qt+xOJI5A6JgkZsolHBOj6AQYOEiE+7eMyBuloar3YfgQN48iIAZmZ3cUc41I6LMwMVLRkRGAG5prHjrrVe3hRrBW6iQBe0L7IMxNBgWL19syuGPIEsEPI1OqOWWTc7pS0jwil1Rt4XfwmNzODyMTqiWJjNcDYmvon/tgtclDQ4Nn4pzrlYYDQY51zePkzcFr53N4b15y4hHjwBXFyvy31gNt9+nwJw5J3Z+NhQ3TRa4wojSbhngb3SPF1K2FLwPHxlx5w5gsQDpM1iRKaNt+sC4grdbkzvIYzkLmCMhFl+acxWQm5yoOZT2ExS8aijThgT0J0DBq5GxUsGr13xNJZeRWgTvoQHj0M50AfctYZiSvipaeOZGcLAhQcF7+tMRaOd5B9fMQRietiw+9C4she78n024cdOAEsUsaN40efM1c+eyoktHUTZx6moWKMXbac1qxWcPd2JZ8KV4mwwoaecUHeFN447Vwyagy5M98Da6YHHGOijlmoGC184Er5KYiBtrthS8cUf9O7QzI99bVkU75yV2D8QVvEktblVyH0Uo7CcoeJXQZVkSSDkCFLwaWVPwqgNoiykNFLyvZq9E3CT0EqRo0RoFLxof+0yuyLfnRWtKYoKCN5oABa+6Pp5WJGBvBCh4NbYIBa86gBS8L28jyxFeAxYuNiIkxIA+TU4j86KBMIQEY9fwyWgTfhgh1igs8K+NWm5ZwTm86ubwUvAq768oeJUzowUJ2CMBCl6NrWIvgvfYyfPw9fHG2QuXUat6ebkjVmIHpzTYdkrD5m37UDj/W3LBT8zCN7VTGkqXPoPMAV64deculuZ6+tKUBiXtrETccIRX3Wieo6UlUxITqXmENyw8AvsOnUTG9GlhgfWlHRvjXrtSwRvTHzwMfIxSa3+IzcO7tkC9eP0E8/BqfPjSnAQUEqDgVQjsxeL2IHjFAiexECQsNHrTMW8/C7zirzmJV20KXtsK3uMRj2SWCBeDCUWc/VRvMpA9mxVda16EszkMFjcPfOp8Nb7gNTjh/kMjwsMAowHw87PCzT3xBT9KxA0FLwXvqKBjcvHnoox1kMvJO16fkdrm8IZHGPHggRVWiwEmFyDA35zoojZFgtdqxe07RpjNBqRxtyLz3P9JwRtVrQkOtuwQr5/InP4VnbTG5xLNSYAEXiZAwasxKuxB8IpLOHbCiNVrjPD0sKJdGysCMlo4wlvvFgqvGwDjvZvQa9HaM2sUOt/djKPhD+TWu+PSVlAteAsUALoYpsF55xpEla6Oj98ph2Uhl+MtWtuzz4jN/xil2G3X2oJ0aSl469e1oGIFS6Jr8LnTWloszlgX/qY0UPISlJpHeEVMLFlqwr37BlSuYEXNGlHxtijXMsK7+DcTLl8yoEI5CxoeeT6vu13xtPH6CQpejQ9fmpOAQgIUvAqB2eMIr6hTzIPMy9OKjh1Eqh8K3rhpyfQUvG3ubLTdNrKWyXDZthJR5Wri40aVXxK8u/caseEvI9L6WdGpAwXv48cGUPBGx0TunBZ09VuANOsWIqpQWYxo1xzTgk+hkAsF76u2IK9a2Yo6NW0neJM7zYWCV+PDl+YkoJAABa9CYBS8AwEnZ4T9bwIseYqoppdaFq2JEV4K3oEAszQwS8OC6HUD73V69dbC9pCWzB5G/Sl4VT8+aEgCqghQ8KrC9txIzykNB46cQt7cObDv0PEkF6LZwwjvk6dB+PfqbZgtZrilcUFEhFn+7J/eT+66FfdwdMH7Vt7DyJMrK24/DsRw73Mc4bUTwRtlNmPvwRPIkM4PZotFLkaKK24qVYyCj+8x+Pn4JLhY6cX5mv4Bop2z4fKV5wsS48ZxckfzxOR6NQsZxTSXzubv4bJ9VZKj/rYe4RX384XLN5DG1QUFnlyB94JxsHp4Y0ed7nirQqV4/dKVawbM00HwJtSegn/cviamf1GShzcxwSvOJ/pdP2/v2PhQNIcXQHJjgoJX48OX5iSgkAAFr0JgKTXCKxaiifRMEZHRU8s83S1wdkl8pwN7ELzhEQaEhEQT8rA+gZs5+hermzusnj6pRvAWyG9Fh5o3YYAVIa7OaB2yj4LXTgRvsCUKDy1hMtbcDEb4m9zjCd533g5HpQL35Hxfq8kZFr/08TY9iCtuxBzMBmVuwmgFrM5OsPhmeGmecHLFjSMK3uAQkYM2en+ytJe2wW3OV7B6+eJa/4l4ljZd9P83uMLT5Ay9BK84v6iHOFxcINcoSMFricBjS0R0X2MwIb3JDbYQvM8skXhgCYc4iytMyGhyQ2Skug1qKle0vHLUn4JX48OX5iSgkAAFbzKAXbt5D0PGzsKZC1eRJSA9Rg3oihKF35KWeo7wHjxsxM7dRvj6WNGkkUXO20zssAfBe+MWsOpPEyIjDehe8yT8fv8GMJsR0akfLHmLphrBKx5kja6OhunaeTyt3QIt85ooeO1E8J6JCMSAB7vxyBKOwWlLo6F79ni7771X/zYK7pkIw8O7iKzRBFFvt0hU8DZ7OxAVTk6E8fZVOboa2ajTSyv5U7PgvXjJgDXrTfBwB94v9A+8F3wFsRnJb30HY3zwKaQzumJ8hkoo6Oynm+C9c9cgF+M+CzWg1ttmFCksFicacCz8Ifo92IlQqxlfp6+Aaq6Z4+VmTmqntcRGeP+NDJLxc8scgo99iqCDVz7VOzJS8Cbj4coiJJCCBCh4kwG7U+8xqFy2KLq1b4hte47i6ymLsPGXiXB2MukqeNUsUHqdi9bizs0b1OwY0s3sD4M5CmGfTYClQMlUJXh121WLi9Y0bTxxKuIROtz5K1nbTUc07oLIdzomKnib1ghEpZ0DYLp+EZE1miGiTc83SvCqSVUnbnJbzuGNO/VJbP1doni04D0cdh9t725MdDMStYL3cuRTdLizySZbkFPwJuPhyiIkkIIEKHiTgP0w8Cnqt/8ce9b8GLuZw7sfDsfAXu1QtkQBCt44/Ch482JSukqa0pJ1puCl4DUAf/3thJ27gNc5h5eCV1u+bgreFFQyPBUJJIMABW8SkA6fuIBR3y7AynmjY0v2HzUd5UsVRKtGNSh4KXjRopgPpzTYyZQGjvDaLi0ZBS8FbzI0BIuQgMMQoOBNoql2HzyJybOW49cZw2NLfjFuNvLlyYYureoh0mzF8rWRuHQJyJABaNvMCd6exgS9RpmtWLc5EidOA75+wLuNnZAxXcJlzRYr/t4ZiQOHAC8voOk7RuTI4pSgX7HAbeeBSGzfZYWbG9CwnhH5cyVcVjjYfzwCm/4G3NIArQvsh/vfS2BN4wGnVh/AJ3/+eOc4diYSazZa5WffTmWOw2P9XMDkBMO7H8CvaLF4ZU9eiMLaDRZERQEdKpyF1/pZMFjMQMsPkLZkqXhlz/0biTUbrAgLA1qXv4i0/8yFIewZDnXphbFRlxBmNWNgulJo4p8D125FYeU6C4KDgeZlryPjzjkwBD/GibYfYrzpFh5bI9DTtyjaZ8qDB48sWPanGYGBQP1Sd5Hz4GwYAu/jYosuGOv+GHctz9DBOz96ZC6IkGdWLF0RhfsPgNy5rGjZyBkuTgm3R0SUBYv/iMKtm0DhQlZUvjQVpluX8bRKfYzI44XzkY9RPU0WjMpeRo7wxsRE3rxW1Lw3G8bLp2AuURlflMiKkxGPUMQ5LabmrAqT0RAbE9lyAPUjf4XTiT0wFyiFbyoVxs6wO8jn7Itvs1eCj7OLqpgQc7+bZ9wCl12rYQnIjiWN6mPps38R4OSOEZnKophX2gRjQizS+rNVK8wKuQA/oyu+zFgWFfwyIMGYcEmDrV0+xMSQs/AwOGNoxjKonjYAicXE3g8+w9fPTgMwYFiGsqibIQvUxkSZ0kDtKs6S5d5H9zDq7oFkxYS1fB34NGgGJ9PzxaBPgy2xMVGl+FMUPjkTxns3YCleET4tOsDZ9Dw+9IyJtZsjcfI0oCQmMgVY0dB9LZwPbIYlRwHMrF0Za0KvIaeTN8ZmLY/sbp6x/YReMSFu8gZ1DShZyDnRnjVuTNSpCZQt5hJvWklcw7gxUaUSULWcM4wGA7Y9uI2R9w8kq5+w1mgC35r1ZHzEHPcemmP7iaKFgQa1nOBkMuLE00AMu7U/RfoJ50T6GodRD6woCTgYAQreJBrsyMkLGDp+Dtb+PC625KdfTkHV8sXkCC8PEiABEiABEiABEiAB+yZAwZtE+wQ+CULt1v2wa/UPMh+lOBp2GoSvBnRFqaL57Lt1WTsSIAESIAESIAESIAFQ8CYjCLr1m4DSxfLjww6NsHHrfkyevRzrF4+PXcSWDBcsQgIkQAIkQAIkQAIk8JoIUPAmA/ztuw8xcMwMnDp3Bdky+2PMoA9QOH/OZFiyCAmQAAmQAAmQAAmQwOsmQMH7uluA5ycBEiABEiABEiABEtCVAAWvrnjpnARIgARIgARIgARI4HUToOB93S3A85MACZAACZAACZAACehKgILXBnh37j+B9Gl9UOCt7LHebt55gPCISOTOnkn1GfTyKyrUe+gU1K5aGk3rVVZdv4QMHcnvnoOn8FauLMiQzheXrt7Cs2dh8PJ0h6eHG7w93eHikngu0eRA04OFXnWm3+gW1YuDnr71rPP5yzdw49Y9PA1+Ju8JkX88a6YMyQn/V5bR494QJ3S0+moGSQckQALJJkDBm2xUCRect3Q9Fvy+EeOGfIQKpQvFFtqx7wQGjv4Jg3q3R5O6ykWlXn5jKli56Sd4u1JJiAV5X/bpjJzZAjSSiDZ3FL/zf9uAhb9vxMwJ/aXoHT5xHrbuPipTzwWFPMOTpyE4tXW+Jia2ZqFXnek3upn14qCnb73qfPHfm3Kh7pOnwfDx9sTla7dRvFAeXL1xRy7cHT+0BzL5p1V9f9j63nC0+qoGR0MSIAHVBCh4VaOLNqzdui/mfjcI2bP4y9+/mb4Un3/cVv587tJ1fDp0Cjb+8o3is+jlN6Yi1Zp/iu0rpmDv4dMYN3UJ6lYvI9OuOTsnvkNbci7CUfzWbNUHP0/9AlkC0svLOnvxGsb9sATzvx8kfy9R5wMc3TQ7OZecaBlbs9CrzvQb3YR6cdDTt151bvXRCLRrVhMtGlSTbPYdOYO1m/dgRL/3seC3Ddi65ygWTB6s+v6w9b3haPVVDY6GJEACqglQ8KpGF21YoVFP7F3zo/w5NCwCZep/JH8Xn8bNZgsqNu6J/et+UnwWvfy+KHjF7xERkZi5aA227D6Cgb3ao1zJAorr62h+KzXuhR0rp8L031axgsHbrfpg16ofbC54bcVYrzrTb3T06sVBT9961Vn0P3v+nAaD2FMcgNVqRZ02/bD5t28RGWVGxUYf4+CGmXbTTzhafVWDoyEJkIBqAhS8qtFFG7buPgLtm9eW0xYWLtuIzdsPyekBbZq8jU3bD+LoqYtYOGWI4rPo5bfJe1/Iuly5fhs5s7LgCdgAACAASURBVMWfX/z4SRAeBj5V9Snf0fx+9PlEFCuYB907N4F4pk+btxJHT13AvO+0j/DqxUKvOtNv9O2pFwc9fetV5w69RqNejbLo0KKOFL2L/9iEzTsOyVHdpav+wa+r/sGKuaMV92t63RuOVl/F4GhAAiSgmQAFr0aEh0+cx2dfTsXjp8HIkyOL/CQ+ec5y7Nh7DNmzZJTzY3OpWLiml18xF08cnXqPkZ/0EzrULLRzNL/Xb91D/5HTcebiVRgNBmTPGoDvR30Su8iw74hp+HZEL1XRoRcLvepMv9HNrBcHPX3rVWexiHPQmJm4cPm6ZJMjWwAmDesp57uLub2d362navMdve4NR6uvqo6FRiRAApoIUPBqwhdtbLFY8TDwCdL5+cBojP4EaItDL7+ibmKBVo1KJWxRzXg+HM3vo8dBiIiMREAG9QtwEoOoFwu96ky/0S2pFwc9fetVZ5GdwWw2w8/Hy6Z9hV73hqPV16ZQ6YwESOCVBCh4bRQglZr0Qs3KpdC/Rxv4+njaxKt4iK3/Zy+u37qPoOBncl5w/jzZULNKKfh4eag6x5Cxs9CyYXWULpYvnv3Jc//KjA11qpVR5Vd87hRpzl48noWGwWoFPNzTqPL7LDQcMxf9iUtXbqJyuaJo27QmDh0/j/1Hz8gRdbHYTs2hFwdRF73qHBYegekLVqFM8fyoWr5Y7GUfO30J5y9fR8sG1VW9cIn0eT8tXI1GdSoiT47M8tP11Rt3Zbx5ebjJf6uUK6oYs15+HY2DnjEh5tPu2HccNSuXlPNs1/2zD3sPnZY/VyxTGA1qlo+dh6u0AQ+fuIANW/bh32t3IO5jd7c0yJE1I+pWL6t6nr9e94aj9T9K24LlSYAEtBOg4NXOUHoQq4779WiDWYvXyGwHWvPbbtx6ACO/nY9qFYrD19sT2/YcRcUyRRAUHIL9R85iwpc9UL5kQcW1L1rzfeTOkRnVKxRHn49axT4Mj5y8gKHj58i5yN07NVbsN7GsBkI49f5iMuZPHoy0vspHiYQwDQoJlQJv07aDMqvCwePn5LWL+dFCiInrUHroxUHUQ686i/a5c/8RBvfuIIVpzCEyTAz7Zi7KFi+Az3tGZwhRcgi/9x4EYvTAD+Cf3hcTf/oV+4+cQb7c2RAcEioF8Mkt85S4lGX19OtIHPSMiS/Gzcb9h48x85v++H7WMtlWzd+pKuelr1i3A3Wql8Gn3VoqbjuRsk+kPGtWv4rsL7w83CFeNK5cv4PfVm9B+xa10a1dA8V+9bo3HK3/UQyOBiRAApoJUPBqRhjtICbNTuCTIIyf9gvu3Q/EsL5dVOe3FWnJfvj6f7GbWdy+9whDx8/GnEkDpOAdMWke1i0ar7j24sFwYP0MDBw9Axkz+GFgr3axPu7eD5SL8Lb9MVm539rdMPe7gQnabdl1FOcuXZMPZaVH3bb9sXbReDg7meQoU6Umn2Drsu/lKLrIitG861BsWDJBqVuZdkwPDqIietW5StPe8lrFxhjiaNN9JH6dMVz+LOKuSZchMvOE0kPkRN20dKIcwRPHg0dP0LXvBKyeP0b+rjZFm15+HY2DnjEhvixtWfY9XF2cZdz9Mn0Y0vl5x7Zjq4+Gy78rPao2642lPw2PTdsX115sqiNib+cq5bGm171RwsH6H6XtwfIkQALaCVDwamQohIY4hNhYveDrWG/7Dp/B1Ll/oGGtCuj5XjPFZxFiQQi7mLy4Im1Wg06DsPnXSXIHN/HQP7BeebqzGPEiPoX2GvwdShTJi55dmsr6ic+NQmjv/nOa4voWrvEe8uTM8kq7GAGlxHn99gNiBW2UWaRD6oXdq3+QXMQc5wYdB6oWvCLPrq05iGvTq85C3GxbPlleu8imIV6yhFDNHJAeIc/CZNooNW1XvcVn8uUpZtqJ2HSjcZfBMk+zFsGrl19H46BnTAjGi6cNlbufte0xEtPH942dbyumRDXsOBB7/kubqOS+E2m+RP7whKZOiVH/Wq37Yt/a6UpcyrJ63RuO1v8oBkcDEiABzQQoeDUiFKJDHOLhktgn+xjhoORU/UdNl4tFOrasKz9PLlq+GU4mo5zKID5fi9HYGRP6KXH5kngRArfn4O/k7mKVyhSG2B3Ox9sDE4d9rMmvYuNXGPQYOAkF8+ZE9YrFsWHLfpw+fwUe7m5yKsPBY2fl9r/jv+iu+JRxRy1tyUFURK86i7byT+eHhrUr4Lc/t8DL0wMnzlxG/bfLYef+4/Jv44cqZzFy0nzcuvsQXds1gJPJhBk/r5YLMMcO+VCT4NXLr6Nx0DMmxPQCMcddpA+LiIzCnkOn0LJBNYSGhWPxis2oVr44+vVorfj+GDt1MY6evIj32tSXL7JiLrd40RZTlOYuXSenOQzv20WxX73uDbVfIZK6AL3qm9R5+XcSIAHbE6DgtRHTmCkNNnIn506KBUriARZltqB8yQLo3a2l3M9+yYq/5cixEKdKj3c/HI5ls0bGmonNMZav245Dx88hR5aM8gEX82lbiW8xtUBNXs6kznHrzgN8PWWxXJRVrmRBDOvTGSvW75A7P+XOnlmKNHc316TcvPR3vTiIE+lVZ/GSM+6HxXIHv0plimDIpx3lS4BYtJQ9qz+6tBJtp5yFEPw/LliJ7XuOSdFUuWwROS86ZurE4j82o0OL2ooZ6+XX0TjoGRPCt5h/v3LDTpy7eA0iS4GY3iBSIor5u41qV1TcbsJAfD1ZtmYr1m/Zh8tXb0sB7ZbGVS5aE/l52zatFbtpi5IT6HVvOFr/o4QZy5IACdiGAAWvCo7te36FJT9+Gc9SfAZWI0DjOknIr4rqvWRCv9FI9OKgp2+96ky/jIkXOwrGhP4xYYv+nD5IgATUEaDgVcFN7BakZj5qUqei32hCjsbBEevsaIwdrb6Miee9naO1nV71Tar/599JgAT0JUDBq4KvXh0i/VLwvhiOjAnGBGMi4U7a0e4NFY8ampAACdiQAAWvCpiO1tGyvvqKJo7mcTQvoW6E952+952j8VXxqKEJCZCADQlQ8KqA6WgdLeur74OXgpeCl4I38Y6U/Y+KhwxNSIAEbE6AglcFUnbg+gpIR+NLwUvBS8FLwaviUUITEiCBFCRAwasCtqMJMtZXX4FOwUvBS8FLwaviUUITEiCBFCRAwasCttjVKmZXKmG+c/8JpE/rE7sNsPh/YvtNkag9d/ZMyT5DSvkVFeo9dApqVy2NpvUqJ7t+LxZ8sb6O5nfPwVN4K1cWZEjni0tXb+HZszB4ebrL/LMi37HY1CK5x4ssbOWbfqNbwNE4pGSdxbnOX76BG7fuyTy8Inbz5ckmd19TciR0P9NvNEFbcFDSFixLAiRgewIUvBqZzlu6Hgt+34hxQz5ChdKFYr2JXcsGjv4Jg3q3R5O6ykWlXn5jKii2Ln67UkncvvsQX/bpjJzZAjSSiDZ3FL/zf9uAhb9vxMwJ/aXoHT5xHrbuPip3nQsKeQaRV/nU1vmqmOjlm36jm8PROOhZ54v/3sTAMTPw5GkwfLw9cfnabRQvlAdXb9xBtsz+GD+0BzL5p1Ucx/QbjUwvDoobhAYkQAKaCVDwakRYu3VfzP1uELJn8Zeevpm+FJ9/3Fb+LHbE+nToFLknvdJDL78x9YjZGW7v4dMYN3UJ6lYvgw87NIKzs5PSqsYr7yh+a7bqg5+nfoEsAell/c9evIZxPyzB/O8Hyd+1bFWql2/6jQ41R+OgZ51bfTQC7ZrVRIsG1SQbsQPh2s17MKLf+1jw2wZs3XMUCyYPVnxP0280Mr04KG4QGpAACWgmQMGrEWGFRj2xd82P0ktoWATK1P9I/i4+jYtteys27on9635SfBa9/L4oeMXvERGRmLloDbbsPoKBvdqjXMkCiuvraH4rNe6FHSunxm6PKhi83aoPdq36QbPg1cs3/UZHmaNx0LPOop/Y8+c0GAwGycZqtaJOm37Y/Nu3iIwyo2Kjj3Fww0zF9zP9RiPTi4PiBqEBCZCAZgIUvBoRtu4+Au2b15bTFhYu24jN2w/J6QFtmryNTdsP4uipi1g4ZYjis+jlVyxgE8eV67eRM1v8+cWPnwThYeBTVZ/yHc3vR59PRLGCedC9cxMIrTBt3kocPXUB877TPsKrl2/6jb6NHI2DnnXu0Gs06tUoiw4t6kjRu/iPTdi845Ac1V266h/8uuofrJg7WnH/Q7/RyPTioLhBaEACJKCZAAWvRoSHT5zHZ19OxeOnwciTI4v8JD55znLs2HsM2bNklPNjcylYuBZTHb38ijl+4ujUe4z8pJ/QoWShXYy9o/m9fuse+o+cjjMXr8JoMCB71gB8P+qT2EWGfUdMw7cjeqmKDr180290czgaBz3rLBZbDhozExcuX5dscmQLwKRhPeW8dDG3t/O79VA4f07FcUy/0cj04qC4QWhAAiSgmQAFr2aEgMVixcPAJ0jn5wOjMfrToi0OvfyKuokFWjUqlbBFNeP5cDS/jx4HISIyEgEZlC/sSQqeXr7pN5q8o3HQs84iO4PZbIafj1dSYano7/QbjUsvDooag4VJgAQ0EaDg1YQPMvXYTwtXo1GdisiTI7P8nHj1xl05h9fLw03+W6VcUcVnEfPvduw7jpqVS8p5eev+2Ye9h07LnyuWKYwGNcvHzttT4jwsPALTF6xCmeL5UbV8sVjTY6cv4fzl62jZoLoq0f4sNBwzF/2JS1duonK5omjbtCYOHT+P/UfPyJFvsShOzeFoHMQ16sVYr1iLEWLr/9mL67fuIyj4mYzb/HmyoWaVUvDx8lDTdEnaDB0/B6MHdkuy3IsF9Io1vfyK+usVx8L34RMXsGHLPvx77Q6ehYbB3S0NcmTNiLrVy6qejy/6MZG28GX2YbBaES8to5IGdLQY1jMmlHBjWRIgAe0EKHg1MhQP7XsPAjF64AfwT++LiT/9iv1HziBf7mwIDgmVAvjklnmKz/LFuNm4//AxZn7TH9/PWib9NH+nqpxvumLdDtSpXgafdmup2K+o7537jzC4dwcp0GMOkaVg2DdzUbZ4AXzeMzrLhJJjyNhZCAoJlSJ607aDMvvBwePnUL5kQTmPWYj+Ph+1UuJSlnU0DqLOejHWK9Y2bj2Akd/OR7UKxeHr7Ylte46iYpkiCAoOwf4jZzHhyx6yHZUeMcI5MTu1mTD0ijW9/OoZxyK1nkjT1qx+FeTOkRleHu7yhevK9Tv4bfUWtG9RG93aNVDadIlmKREv872/mIz5kwcjra/y0WRHi2E9Y0Jxo9CABEhAEwEKXk34ovPOblo6UY6qiOPBoyfo2ncCVs8fI39X+1Cv1KQXtiz7Hq4uzqjbtj9+mT4M6fy8Y8/R6qPh8u9KjypNe2PDkglycwVxtOk+Er/OGC5/DnwShCZdhsjsBUoPUce1i8bD2ckkR5kqNfkEW5d9D18fT5m9onnXofK8Sg9H4yCuTy/GesWaSIH3w9f/i9045fa9Rxg6fjbmTBogBe+ISfOwbtF4pU2HwjXek/FbvHAeVClXTIqymBjWcm/oFWt6+RXXqlccV23WG0t/Gh6bXi9uI4nNb8T9vXOV8vu5RO1umPvdwATbfMuuozh36Zp8GVd6OFoM6xkTStmxPAmQgDYCFLza+KF6i8+kGIjZeU1sWNC4y2BsXzFFk+AVfhdPGyp3S2rbYySmj+8bOz9PzF1s2HEg9vyXDk3JJYgH77blk2W+XZGRQeTNFYI9c0B6uZuVSGm0+89pSlzKsvXbD4gVtFFmkQ6pF3av/kGeR8xFbtBxoCrB62gcYsSNHoz1ijUhQsTLSUwOZpGirUGnQdj86yQ5ZUcI+APrlafWE2n5RIydvXhV7kYospZULlsUvd5vLjdDUPsyqFes6eVXxIRecSzSZok83wlNOxFfmGq17ot9a6crvp/Fy0qenFleaRfzUq/EuaPFsJ4xoYQby5IACWgnQMGrkeHISfNx6+5DdG3XAE4mE2b8vFouXhs75ENNgld8jhRzYkW6oYjIKOw5dAotG1RDaFg4Fq/YjGrli6Nfj9aKa99z8HfwT+eHhrUr4Lc/t8DL0wMnzlxG/bfLYef+4/Jv44d2V+y3x8BJKJg3J6pXLI4NW/bj9Pkr8HB3k1MZDh47K7fpHf+Fcr+OxkGA04uxXrHWf9R0ueCpY8u6csrMouWb4WQyyqkMYprL3fuBmDGhn+KYeNFACOk/1u+QO9w1qFkBs5eswdHNcxT71SvW9PIrLlCvOB47dTGOnryI99rUlwJVrBsQLyli6sHcpevkNIfhfbsoZqz2ZSSpEzlaDOsZE0mx4t9JgARsS4CCVyNPsajhxwUrsX3PMSlMK5ctIueqxkwZWPzHZnRoUVvVWY6cvICVG3bi3MVrcpWw+DwsUp2J+buNaldU5VOIl3E/LJa7wFUqUwRDPu0oBapYIJc9qz+6tKoPdzdXxb5v3XmAr6cslgvfypUsiGF9OmPF+h1y56fc2TPLFwI1fkVFHImDqK9ejPWKNTESKBYyipeqKLMF5UsWQO9uLeHt6Y4lK/5Gw1oV4ONtu4VrYorLvKXrsHHbAayaFz31R8mhV6zp5Tfm2vSIY/H1ZNmarVi/ZR8uX70tX4jd0rjKRWsiP2/bprViN1dRwlhMQVKTvzepczhaDOsdE0nx4t9JgARsR4CCVwXL9j2/wpIfv1Rh+WoT+o3m42gcHLHOjsbY0erLmHje1zla2+lVX5s/MOiQBEhAEQEKXkW4oguLXcXUzF9L6lT065h8GRPPI5sxTBYv9nOMiaR6fv6dBEggJQhQ8KqgzA7cMYWpXu1GwUuRl1A3ole80a9j9j8qHjU0IQESsCEBCl4VMPnAccwHjl7tRsFLwUvBm3hHqtd952h+VTxqaEICJGBDAhS8KmA6WkfL+uor0Cl4KXgpeCl4VTxKaEICJJCCBCh4VcCmgNRXQDoaXwpeCl4KXgpeFY8SmpAACaQgAQpeFbAdTZCxvvoKdApeCl4KXgpeFY8SmpAACaQgAQpeFbDFjmQxO6s9fhIst8+1xUG/0RQdjYMj1tnRGDtafRkTz3tER2s7vepri2cEfZAACagnQMGrnp20TGxHojMXruLH+Svx3ahP5A5sSg/6jSbmaBwcsc6OxtjR6suYeN77OVrb6VVfpc8DlicBEtBOgIJXI8NXbcE5bd4KhIZHoH+PNorPQr+vFrzir/bI91Xixl7rzFjTN9YYE0kL3jft3lD8QKABCZCAZgIUvBoRFq7xHoxGQ6JexNafp7bOV3wW+o1G5mgcHLHOjsbY0erLmHje/Tla2+lVX8UPBBqQAAloJkDBqxGhGB3bsuy7V3rx8/FSfBb6fT7q5kh8Y0bzHKnOjDV9Y40xEX+El/eG4scBDUiABGxAgIJXI8RXfQ7W4pp+n4uQo5tma0GZoK1efGPEjSPVWS8W9Btf6DEmEp+Tr/UGd7RY03q9tCcBElBOgIJXObN4Fn+s34EW71R9ycuz0DBYrYjN5qD0NHr5ffDoCdKn9VFanSTL0+9zRGQRzYIcGBMvdhyMiSS7UhYgARLQiQAFr0awiY0sXL1xF72/mIz5kwcjra+6KQ0JjQhp9Ttk7Cy0bFgdpYvli3flJ8/9i9t3H6JOtTKqiISFR2D6glUoUzw/qpYvFuvj2OlLOH/5Olo2qP7Kuc6JndTR/Ma9jkpNeqFm5VJy0aKtUtcJ/2+63/CISPy0cDUa1amIPDkyY/OOQxD3hZenO7w83OS/VcoVVRzHevkVFdHLt6P5FSwePQ7C+n/24vqt+wgKfibbK3+ebKhZpRR8vDwUt1uMgV5+X1WhoePnYPTAbqrrTEMSIIGUI0DBq5F1idrdMPe7gQl62bLrKM5duoaZ3/RXfBa9/Bat+T5y58iM6hWKo89HrWAwRC+4O3LyAkTn3aRuZXTv1FhxfYXtnfuPMLh3BylCYo6zF69h2DdzUbZ4AXzes22q9xv3Aqs1/xT9erTBrMVr8GGHRmhar7Li60/I4E33K2Lt3oNAjB74AfzT+2LiT79i/5EzyJc7G4JDQqUAPrllnmLWevkVFdHLt6P53bj1AEZ+Ox/VKhSHr7cntu05iopliiAoOAT7j5zFhC97oHzJgorbTi+/MYI8sQrpNZVCMQAakAAJJEmAgjdJRK8uIFbx5smZ5ZWFVs8fo/gsevkVHfSB9TMwcPQMZMzgh4G92sXW7e79QLTuPgLb/pisuL5VmvbGhiUT4OnhJm3bdB+JX2cMlz8HPglCky5DsGPl1FTv90XBu33FFHn946f9gnv3AzGsbxfkzBagmAP9PidQuekn2LR0Itzd0sj/KT6Td+07ATH3mVoRopdfUUe9fDua39qt++KHr/+HAm9ll213+94jDB0/G3MmDZCCd8SkeVi3aLzi+0Mvv6IfdnVxRvHCeVClXDE0q18F6fy8Y+unNtYUXyANSIAENBOg4NWIUK8OT2+/kVFm9Br8HUoUyYueXZpKCs9CwyEeHLv/nKaYivjMvm35ZDg7O+Fh4FOIUUghSjIHpJc7p9Vp0++N8Bsj8MW/QuSvXvB1LMt9h89g6tw/0LBWBfR8r5lixkI40y9QvcVnUhTF7Hb45GkIGncZDPFyIQ61945efkWd9PLtaH6FQN+67HvZT4gjIiISDToNwuZfJ8lpH+LF+cD6nxTfG3r5NZstsj87e/Eqdu4/gU3bD6Jy2aLo9X5zZPJPqzrWFF8gDUiABDQToODViLB516FYMXe0Ri8vm+vlN64YEAK35+DvkMbVBZXKFMaOfSfg4+2BicM+Vnw9wo9/Oj80rF0Bv/25BV6eHjhx5jLqv10OO/cfl38bP7R7qvcrLlCIfXGIOYWJzd+OEWdKgNBvNK2Rk+bj1t2H6NqugdzFcMbPq5HOzwdjh3yoSfDq5dcR66wXi/6jpsNsNqNjy7oQs6kWLd8MJ5NRTmUQU5/EV6YZE/opuS1kWb38vlgRIdDFguKFv29Eg5oVMHvJGhzdPEdxfWlAAiSQ8gQoeG3MXIycOjsp30rYxtVI1N27Hw7HslkjY/8uRjCWr9uOQ8fPIUeWjHivTf3YT8VK6iQeVON+WIxzl66jUpkiGPJpR2zYsh879h1H9qz+6NJK+HVV4lKWdTS/cS9QCFQ1wjYpSG+6X/Gi9uOCldi+5xgiIqNQuWwROR89ZjrN4j82o0OL2klhfOnvevkVJ9LLt6P5FXOsxeLWPYdOIcpsQfmSBdC7W0t4e7pjyYq/5dcP8dKt9NDLb2L1CA2LwLyl67Bx2wGsmqd8yprS62N5EiAB7QQoeDUyjIyMwrxf12Pd3/tw5fptxAje7FkDUK96GXzQoZGcA6bm+GfXEazasBM3bt/H0+Bn8qEgFuY0e6eKqoUdcetgtVpjF6ypqRttkiYgPrWreXgn5XnPodMoUyxf7GfhpMon9+961VcvvzHXZeuXTN4byY2YN6+crWPtzSPIKyaB10eAglcj+y/Gzcb9h4/RtW0Dmf1AjDKFR0Tg32t3MHPRavh4e2L8F8o/5X8/axm27z2Gji3ryNXMKzfuRJH8ueDr44V5S9ejffNa6PRuXcW1v3bzLgaOmYmWDarh3UbVY+3Fyva/th7AoN4dVKVRq92mH95tWB1d274DlzgCf8vuI9hz8BT+9+G7qkaOhdgfNGYm+nZvhVJF88mMB2I0WqQy8vRwly8BYnRP6SFGjhct34R+PVrjSVAIvpvxO/YePg2LxSJHqPt0b6U6RZJeLGKusVyDHsiW2R+DPmmPsiUKKL30BMvr8XL177XbMjvBxSs35bxHkb5JfAoWGRXy5MyMT7q2UMVYr5dMve4NAVyvOE6q8eu3HyAXkyo99Lo/HI2DXrGmtD1YngRIQDsBCl6NDIX42Lr8+wTFnNh8okbL/2H/OnWLMNb9PD52hFB8Quv4yWgsnz1Krmxu032Eqs/l3fpNQNECuWWaLLHoJybtjliYMXXOH3gY+ARTx3ymmErxWt3kyPOV63fww5jPpCAVx807DzDpp1/h7OSkag5vt74TUKLIW/ioY2M5Ui4Ek1g8InKwBgWHYvy0JTj+91zF9e3UewxKF8svhXjfET/KHMFdWtWDmFi44LcNEKN8k4b3VOxXGOjFIqYyYkrDgsmDMfLbBciaKYPmPL96vVyJtqtcrojMRbz6r13YtucYcmXPhDrVSmPv4TMIfByE70d9opixXi+Zet0b4gL1iuN/dh5GhnS+Mo9t3BfNGKhqF/DpdX84Gge9Yk1x0NOABEhAMwEKXo0IhaAVeXbz5c76kich/rp8NlZVmi/hV8y1jdkVTaRe6vjJGDlaI1brN+gwEHvW/Ki49hUb9cTOVT/AZDJKUVe8djcc3TRHCj4xmlG1+afYq8JvzIP152V/yTyogknMVA6xeUTNd/uoytJQoVFP7F49LXbTCiH8G3UahL9//1Zeu9oHuvC7589pclqHyEyxfvGE2CkCgkP1lp/J86o59GIRV/DGzA3+Y912zPllnXyBESmT1BxihbseL1f12n2Ojb98I6tksVjlhhk7V02VC83EoXb0Ua+XTL3uDXGtesWxEKYPHj3Fg0eP5WYyrRu/jRqVSsbeL/Z2fzgaB71iTc19ShsSIAFtBCh4tfHDivU7ZOL7utXL4q2cYkqDu0yvc/XGHazZtEem/GrTtKbis0ybtwJrNu9Fk3qVYIABf27ajQY1y8t0OEL4Fi2YO14O3eSeQKQxWjlvNPx8vHD52m20+nA45nw7ACUKvyU/uwrfYsRa6RH3wTplznKcPn9VjpCKUWSxg1vbj0epEv512vaXOTqzZ/GXVbp09Ra6D5gk0xhpEbwiZdiAXu3kjlwfD/pOjvSKUTJxnDp3Bb2HTsY/v3+nFMNLdbIlC5FcXxzDJ87DyP7vx9bt8ZMgzFqyFtkyZ8C87wYprrNeL1dC0IrcuGLkUcxBr9q0t3xRES9x4suCyPksXjSUHnq9ZOp1g864SAAABsRJREFUb4jr0yuOY9iJ1H+7D57Eyg07IaaSfPbBu6hXo6zqF0K97g9H46BXrCmNeZYnARLQToCCVztDXLpyExu3HcS/124hNDQCadK4IGfWANSuVjo2wbqa02zdfVSuZhaZFMqVLCg/BYsRyRNn/0WR/DlVLTobM/lniO1+a1Qsgb+2HUTnVnUxefZyFMybHSfPXpG/i+kDSo8XR5JEvtnla7ejaIFcOH7mMto2q4mPO0fn+1VyiCkM4r9m9avC5GTE8jXb8G6jGujRuYkmwXv4xAX0Gf4DCuXLKXfrEvOlRWL50LBwmVlieN/30KBWeSVVjS2rF4t+I6NH9MV825qVSyZYNzXTMPR6uRJTLq5ev4OKZQpLviUK58WGrftROF9OnD5/Ba0a15Aj00oPvV4y9bo3xPXpFccJsRP90ZQ5f+Dx02C5g6KaKT963R+OxkGvWFMa8yxPAiSgnQAFr3aGDuUhymzGb6u34vyl61KIiFGg67fu4eCxc8ieJaP8LKrmGPfDErmIKu4hRmOPnrwoR2e1LK4SYknM/xQpqKqUK4J6NcrFnkakQYsZmVVabzEqJhbVnbt4XY44ipHIHFn98XalknLDDLWHnixEncQ0GTGH15aHHi9XYmrIkpV/48LlG7L9xdbKF/69IWNNLPBUs4VszDXr8ZKp170RU2e94jixODhw9Cz+2nYAX3zWSVWo6HV/OBoHPWJNVYPQiARIQBMBCl5N+GhMAiRAAiRAAiRAAiRg7wQoeO29hVg/EiABEiABEiABEiABTQQoeDXhozEJkAAJkAAJkAAJkIC9E6DgtfcWYv1IgARIgARIgARIgAQ0EaDg1YSPxiRAAiRAAiRAAiRAAvZOgILX3luI9SMBEiABEiABEiABEtBEgIJXEz4akwAJkAAJkAAJkAAJ2DsBCl57byHWjwRIgARIgARIgARIQBMBCl5N+GhMAiRAAiRAAiRAAiRg7wQoeO29hVg/EiABEiABEiABEiABTQQoeDXhozEJkAAJkAAJkAAJkIC9E6DgtfcWYv1IgARIgARIgARIgAQ0EaDg1YSPxiRAAiRAAiRAAiRAAvZOgILX3luI9SMBEiABEiABEiABEtBEgIJXEz4akwAJCAJPg5+hYqOeWDlvNPLmykooJEACJEACJGBXBCh47ao5WBkSsF8CIyfNx537gZg+rs9LlYwym3H4+AUUKZAL7m6u9nsRrBkJkAAJkMAbSYCC941sdl40CSgn8CrBq9wbLUiABEiABEgg5QhQ8KYca56JBByawKsE74tTGlp3H4HGdSph/9GzuHD5BqKiotD/47ao/3Y5yeDWnQcY9d1CHDx2Fp4e7qhWoRgG9GwHTw83h2bEypMACZAACdgnAQpe+2wX1ooE7I6AEsHb9uNRePDoCWZ90x+5smfCkhV/Y+qc5dj95zQYDAa07TESxQu/hc8+eBfhEREYNGYm0vl54+vBH9rddbNCJEACJEACjk+Agtfx25BXQAIpQkCp4C1aIBe++KyTrNv1W/dQv/0AbPtjMm7fe4ROn4zGgfUz4OzsJP9+/PQldOw9Bof/mgUnkylFrocnIQESIAESeHMIUPC+OW3NKyUBTQSUCt661cuga9sG8px37j9CrVZ98dfSiTh66iIGfPVTgnURf88SkF5TPWlMAiRAAiRAAi8SoOBlTJAACSSLgFLBW696Wbzf9p2XBK8YzR0xaT72rZ2erPOyEAmQAAmQAAloJUDBq5Ug7UngDSFgK8H7+EkwxKK2zb99i0z+aSW9Z6HhCAuPQFpfrzeEJi+TBEiABEggJQlQ8KYkbZ6LBByYgBC8V2/cxVcDu8W7Ck93NxiMhngbT4hFa4mN8IopC226j0RGfz989Xk3GI0GjJ26GHfvB2LOtwMcmBCrTgIkQAIkYK8EKHjttWVYLxKwMwJC8P7259aXatWuWS18+kFLRYL3xu37GP39zzItmclkQoVShfBln85In9bHzq6a1SEBEiABEkgNBCh4U0Mr8hpIgARIgARIgARIgAQSJUDBy+AgARIgARIgARIgARJI1QQoeFN18/LiSIAESIAESIAESIAEKHgZAyRAAiRAAiRAAiRAAqmaAAVvqm5eXhwJkAAJkAAJkAAJkAAFL2OABEiABEiABEiABEggVROg4E3VzcuLIwESIAESIAESIAESoOBlDJAACZAACZAACZAACaRqAhS8qbp5eXEkQAIkQAIkQAIkQAIUvIwBEiABEiABEiABEiCBVE2AgjdVNy8vjgRIgARIgARIgARIgIKXMUACJEACJEACJEACJJCqCfwfbXuQsqmlBU8AAAAASUVORK5CYII=" + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# if disconnected == False, then plot overloaded lines, else plot disconnected lines\n", "\n", "chart_title = \"Overloaded lines\"\n", - "aa.plot_lines_impact(\n", + "fig = aa.plot_lines_impact(\n", " agents_results,\n", " title= chart_title,\n", - " yaxis_type = \"linear\")" + " yaxis_type = \"linear\")\n", + "fig.show(\"png\")" ] }, { @@ -1738,21 +690,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 19, "metadata": { "pycharm": { "name": "#%%\n" } }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "chart_title = \"Disconnected lines\"\n", "\n", - "aa.plot_lines_impact(\n", + "fig = aa.plot_lines_impact(\n", " agents_results, \n", " overloaded= False,\n", " title = chart_title,\n", - ")" + ")\n", + "fig.show(\"png\")" ] }, { @@ -1770,9 +731,24 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 20, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "e3c08a36aa30465f9f3dd660f8b57eb2", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "interactive(children=(Dropdown(description='Episode', options=('jan32_1', 'jan32_2', 'feb20_1', 'feb20_2', 'ma…" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "w = widgets.Dropdown(\n", " options=agents.episodes_names,\n", @@ -1780,7 +756,8 @@ " description='Episode',\n", " )\n", "def f(x):\n", - " display(aa.plot_distance_from_initial_topology(agents_results, episodes_names=[x]))\n", + " fig = aa.plot_distance_from_initial_topology(agents_results, episodes_names=[x])\n", + " display(fig.show(\"png\"))\n", " \n", "interact(f, x=w);" ] @@ -1806,18 +783,27 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 21, "metadata": { "pycharm": { "name": "#%%\n" } }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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+ }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "aa.plot_actions_freq_by_station(\n", + "fig = aa.plot_actions_freq_by_station(\n", " agents_results,\n", " yaxis_type = 'log'\n", - ")" + ")\n", + "fig.show(\"png\")" ] }, { @@ -1840,13 +826,28 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "metadata": { "pycharm": { "is_executing": true } }, - "outputs": [], + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9202ff8419aa46ad8933ed1d927f341d", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "interactive(children=(Dropdown(description='Episode', options=('jan32_1', 'jan32_2', 'feb20_1', 'feb20_2', 'ma…" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "w = widgets.Dropdown(\n", " options=agents.episodes_names,\n", @@ -1854,7 +855,8 @@ " description='Episode',\n", " )\n", "def f(x):\n", - " display(aa.plot_computation_times(agents_results, episodes_names=[x]))\n", + " fig = aa.plot_computation_times(agents_results, episodes_names=[x])\n", + " display(fig.show(\"png\"))\n", " \n", "interact(f, x=w);" ] @@ -1879,13 +881,28 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 23, "metadata": { "pycharm": { "name": "#%%\n" } }, - "outputs": [], + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "5eb041c30e2843c5b357bfb635404729", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "interactive(children=(Dropdown(description='Episode', options=('jan32_1', 'jan32_2', 'feb20_1', 'feb20_2', 'ma…" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "min_length= 0\n", "max_length= 15\n", @@ -1894,14 +911,16 @@ "def f(x):\n", " if not type(x)==list : eps = [x]\n", " else : eps =x\n", - "\n", - " display(agents.plot_actions_sequence_length(\n", + " \n", + " fig = agents.plot_actions_sequence_length(\n", " agents_results,\n", " episodes_names=eps,\n", " min_length=min_length,\n", " max_length=max_length,\n", " plot_bgcolor = bg\n", " )\n", + "\n", + " display(fig.show(\"png\")\n", " )\n", "\n", "interact(f, x=w);" @@ -1916,13 +935,199 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 24, "metadata": { "pycharm": { "name": "#%%\n" } }, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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TimestampSequence startSequence endSequence lengthNB actionsNB unitary actionsImpacted SubsImpacted lines
0[2012-01-19 14:55:00, 2012-01-19 15:00:00, 201...2012-01-19 14:55:002012-01-19 15:20:006618[[sub_16], [sub_9], [sub_28], [sub_23], [sub_1...[[], [], [], [], [], []]
1[2012-02-07 11:10:00, 2012-02-07 11:15:00, 201...2012-02-07 11:10:002012-02-07 11:30:005520[[sub_28], [sub_23], [sub_16], [sub_21], [sub_...[[], [], [], [], []]
2[2012-02-07 12:05:00, 2012-02-07 12:10:00, 201...2012-02-07 12:05:002012-02-07 12:25:005520[[sub_28], [sub_23], [sub_16], [sub_26], [sub_...[[], [], [], [], []]
3[2012-07-13 09:50:00, 2012-07-13 09:55:00, 201...2012-07-13 09:50:002012-07-13 10:10:005523[[sub_23], [sub_28], [sub_1], [sub_16], [sub_23]][[], [], [], [], []]
4[2012-11-05 19:05:00, 2012-11-05 19:10:00, 201...2012-11-05 19:05:002012-11-05 19:35:007715[[sub_28], [sub_31], [sub_7], [sub_1], [sub_28...[[], [], [], [], [], [], []]
5[2012-11-06 10:45:00, 2012-11-06 10:50:00, 201...2012-11-06 10:45:002012-11-06 11:10:006617[[sub_21], [sub_16], [sub_23], [sub_26], [sub_...[[], [], [], [], [], []]
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4892012-12-04 21:40:001[sub_28][]
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" + ], + "text/plain": [ + " Timestamp NB unitary actions Impacted subs Impacted lines\n", + "489 2012-12-04 21:40:00 1 [sub_28] []\n", + "490 2012-12-04 21:45:00 1 [sub_32] []\n", + "491 2012-12-04 21:50:00 3 [sub_33] []\n", + "492 2012-12-04 21:55:00 3 [sub_29] []\n", + "493 2012-12-04 22:00:00 7 [sub_23] []\n", + "494 2012-12-04 22:05:00 11 [sub_16] []\n", + "495 2012-12-04 22:10:00 2 [sub_18] []\n", + "496 2012-12-04 22:15:00 3 [sub_33] []\n", + "497 2012-12-04 22:20:00 3 [sub_23] []" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "import grid2op\n", - "env = grid2op.make(\"l2rpn_neurips_2020_track1_small\")" + "min_length= 7\n", + "max_length= 15\n", + "\n", + "tutor_binbinchen.display_sequence_actions_filter(\n", + " min_length=min_length,\n", + " max_length=max_length,\n", + ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "After getting all the arguments we need, we pass them to the function. For more details on how to use this function visit the grid2op [documentation](https://grid2op.readthedocs.io/en/latest/plot.html?highlight=plot%20observation%20#plot-a-given-observation)" + "Moreover we can even retrieve actions of type grid2op.BaseAction for later use" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 26, + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, "outputs": [], "source": [ - "from grid2op.PlotGrid import PlotMatplot\n", + "timestamp = '2012-02-07 20:15:00'\n", "\n", - "plot_helper = PlotMatplot(env.observation_space)\n", - "fig = plot_helper.plot_obs(grid2op_obs)\n", - "fig.show()" + "grid2op_act = tutor_binbinchen.get_action_by_timestamp(timestamp)" ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 27, "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "This action will:\n", + "\t - NOT change anything to the injections\n", + "\t - NOT perform any redispatching action\n", + "\t - NOT modify any storage capacity\n", + "\t - NOT perform any curtailment\n", + "\t - NOT force any line status\n", + "\t - NOT switch any line status\n", + "\t - Change the bus of the following element(s):\n", + "\t \t - Switch bus of line (extremity) id 18 [on substation 16]\n", + "\t \t - Switch bus of line (extremity) id 19 [on substation 16]\n", + "\t \t - Switch bus of line (origin) id 27 [on substation 16]\n", + "\t \t - Switch bus of line (origin) id 28 [on substation 16]\n", + "\t \t - Switch bus of line (origin) id 54 [on substation 16]\n", + "\t \t - Switch bus of generator id 5 [on substation 16]\n", + "\t \t - Switch bus of generator id 6 [on substation 16]\n", + "\t \t - Switch bus of generator id 7 [on substation 16]\n", + "\t \t - Switch bus of generator id 8 [on substation 16]\n", + "\t - NOT force any particular bus configuration\n" + ] + } + ], "source": [ - "Or we can plot them using one line of code using below function" + "print(grid2op_act)" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 28, + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, "outputs": [], "source": [ - "fig = aa.visualize_grid_state(\n", - " env.observation_space,\n", - " agent= tutor_binbinchen,\n", - " timestamp_str='2012-02-07 20:20:00')\n", - "fig.show()" + "grid2op_act._check_for_ambiguity()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### DataFrames" + "Similarly, we can retrieve observations of type grid2op.BaseObservation to plot them later using grid2op plotting functions" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [], + "source": [ + "# getting the observation object from the grid2bench package\n", + "grid2op_obs = tutor_binbinchen.get_observation_by_timestamp(episode_name='feb20_1', timestamp_str= timestamp)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "The first part of this notebook presents the visualization of developed KPIs using different examples. As described in the second chapter, the module EpisodeDataTransformer takes care of transforming the required data. The output of the functions are mostly the dataframes which are served by AgentAnalytics moduel. \n", - "\n", - "In continue some examples are presented to show that these dataframes can be either separately inspected or be used for further KPI developments. " + "In grid2op's plotting function, we need the observation space to be predefined. We will therefore upload the environment to obtain this argument" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 30, + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, "outputs": [], "source": [ - "ppo_agent.actions_freq_by_type_several_episodes()" + "import grid2op\n", + "env = grid2op.make(\"l2rpn_neurips_2020_track1_small\")" ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "ppo_agent.actions_freq_by_station_several_episodes()" + "After getting all the arguments we need, we pass them to the function. For more details on how to use this function visit the grid2op [documentation](https://grid2op.readthedocs.io/en/latest/plot.html?highlight=plot%20observation%20#plot-a-given-observation)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 31, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ - "ppo_agent.disconnected_lines_freq_several_episodes()" + "from grid2op.PlotGrid import PlotMatplot\n", + "\n", + "plot_helper = PlotMatplot(env.observation_space)\n", + "fig = plot_helper.plot_obs(grid2op_obs)\n", + "fig.show()" ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "ppo_agent.computation_times_several_episodes()" + "Or we can plot them using one line of code using below function" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 32, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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nnk/OGGPMPkSkJvAtMAfoqRZEKlS+wp6AMcYYY4wx5qCxCqgvIjlaESQiFYEbgJEWwDPGmIIhIn5gErANuDq/AngicriIfCEiy0VkkYgck8m+/UTkVxH5TUTGek2TshzLcI65IpIkItWjtjUUkbCITPPuzxGR3lHj94rIbhEpFbVtmYickcuHnyMWxDPGGGOMMcYUlJWAH6iTw+Oux3WnHZPnMzLGGBPPEOBkoLuqbsvH6zyPa3rUBHgYmBBrJxE5DBgBnAo0Bg4FrslqLI7vgD5R968Evom6PwdoH3W/A7AUOMG7Xk2gATA/qweXlyyIZ4wxxhhjjCkoq7x/G2b3ABEpA9wCjFHVrfkxKWOMMemJyOnAfcBtqro4H69THTgOmOhtmgrUFZHGMXbvCkxX1fVeVuBzwKXZGIvlZeBybw4+oAcQihpPC+KJSAlcPdex7A3stQcWqOru7D7WvGBBPGOMMcYYY0xB2QDsJGfNLa4EygNP5suMjDHGpOM1EpoEvA08k8+Xqwv8paopAF4Abg1QL8a+9YDfo+6vjtovs7FY1gLrRaQtcDbwNbAlavwroJaI1MVl3y0E5uIy8vD+/STTR5YPrDutMcYYY4wxpkCoqorIKrIZxPPqGd0BjFPVv/N1csYYYyJ18CYCu4B+eVEHTxKlNHAW8K4OLVKNMcbhup5XBl4AakcGVDVJRObjMu4OA+aq6m8iUseri9feO7ZAWSaeMcYYY4wxpiCtIvvLaS/Fval6NP+mY4wxJsog4DSgR16UMJBEOT7Bl/A98E7AF5gliZKxJupaoGak4ZGICC6Dbk2M060B6kfdbxC1X2Zj8UwDzgFaAB/HGJ+Dy7jrgMvCA1gAdMP9bvoqi/PnOQviGWOMMcYYYwrSSrKRiefVKBoEvKaqq/N7UsYYc7ATkXbAcOBOVV2Uq3MlSglJlPsFWXBS3ZMavN3jbepWqNvOL/6fJVH6SKIIgKpuABYDkU6wXYB1qroixmmnAp1FpIYX7OsPvJ6NsZi8ena3ADerajjGLnOAM4H6qrrM2zYP1/BjvqomZe/ZyDsWxDPGGGOMMcYUpOxm4l0IHAU8lL/TMcYYIyKHAK8B7wKjcnWuRGme4EtYXNJfctDTHZ+WTy7/xH/RkRfx/XXfJ1zX5rqywCt+8b8tiVLdO+Ra4FoRWY778OaKqHm9KCKdAVR1JTAU1xF2BfAPrrNtpmOZUdW3VPXDOMOLcEttF0ZtmwccTiHUwwOQPFjebIwxxhhjjDHZ4r0Zewcop6o74uwjuGVKf6rqRQU4PWOMOeh4mc/vAUcDrVR1836dJ1ECwO0+8d1f5tUyvsDmgAy4aQDDhg1Lt9/4WeO58twr8fXx/Rc+LHy5DtW3c/sYDhaWiWeMMcYYY4wpGCInrYdr1gFJsAqR1xE5NWo8AZGywOlAG+DBQpqpMcYcTO7ALRvtsb8BPE9L4MGbj7/Z//3s7+XJx2M3FX//hffp0KEDLWq2KOcT3yRJlFK5uOZBxYJ4xhhjjDHGmPwncgPw+aFwfm0gAQ4BegDzEBmDyPvAbmD7Gnj3IfhNXZ0kY4wxeUlEcBnPiMjJwAPAYFVdkMszf1PCX2Kt3+enQf0GMXeYOXMmRx55JPXq1GNX8q4wME2H6u5cXvegYUE8Y4wxxhhjTP4SaQg8BUisUeA6oCPe+5O6UPouaATMQKREgc3TGGMOZCJdEZkDpAApe0Q+7enKG3wIPJHb0+tQ1aTUpFcnfjcxORyjT0RqaioPP/wwd955J9uTtrNs4zJ/WMOh3F73YGJBPGOMMcYYY0x+uwbvvYcCa6jLHNrzIecwj3as59B4x50N9CmgOZoDiIiUFJHRIvKriHwvIhOzM5bhHKeLyEIR+UlEfhSRR7zaYZHxeiLyroj84u1zU5zzDPGOXyAi9aO2T/CyoIzJMyL4RDhchDNEOEeEk0WojMiDwJtAe9zrsa8knPoaVN0Mv8TpzprDa0sJprPh7x1/J8xfM3+f8bFjx9K1a1fKly/P6q2r8YlvJzAzt9c9mAQKewLGGGOMMcaYA1sygXqzOItxchWf+M9kS0qFffY5NGET5ybPoB8vcgqfR6fs9QNeKrjZmgPEQ7iYcRNVVRGpkc2xaFuAnqq6UkRKAbOBy4AJXvOVt4GHVPVNABHZJxotIhWA3riGAb2Am4DbReQsYKeq7hvpMCaHRCgFXJyQQD+/n5NTU9mnxlyDhD+4MPlN+vESzfk+3VhluBWR8aj+kPNriwCtgL5AkMVUSeiQsDP0fahMW9qm2/fbb79lxYoVvPPOO3y74FvCvvAOttCQoSzL6XUPVtad1hhjjDHGGJNvRDitRsKmt9cnV6186gnJXNIjgdat4cgjoVQp2LEDfvoJvv4aXn81iaU/lqBt4GueT+lHC74DWI7qEYX9OEzxIa45yl9AHVXdlt2xbJx3NLBRVYeJyJnAcFU9KRtz+RZoClwB1AXuxy1fvCCnczAmmggCdA8EGJ2aStWOHQl37oy/VSto2BASEuDff+H77+Grr2DShCRWri1BZ9+7PB2+gXqsjT7dU6gOyP61pTouQN0XaAasACYArzKMPgnvJIxovKex7N61m4YNGzJ79uy0Y5dtXMZRZx4FpbhVF2js7hcmJgviGWOMMcYYY/KcCAERnlDlpnPP1fATT4jvqKOyPm7hQrj5+mS+XuxjhN7LXTw8xafhbvk/Y3OgEJHmwHTgdVzHzV3AMFX9OLOxLM5ZA1iKC7x9LSI3A2d4xx8BrAZuU9WVMY69HrekfD1wOa4T6Geq+k7uH605WIlQLhDgtZQULrjySnT4cKR27cyPCYfhww9hwPVJ/LUulbGpV3Ipr0eG3wa6kEmQSFyN0vNxgbvzcN//k3HBuy/UO1YSpRGw4rhax6WUDpTe53x/b//bt2rrqi3J4eQaOlRTc/jQD2oWxDPGGGOMMcbkKRES/H5e9/u5aNw4fMEgSKyWFnGEw/Dkk3DnHWEa64o3ltOkpyr2xsVki4i0Br4BLlfVV0SkFTALOAaoHW9MVf+Oc74KwMfAa6r6hLftViAROEFVfxSR/sBVqnpcFnM7FhfEuxzXSKA6LqD3VK4fuDloiFAxIYGPy5WjxVtvEWjfPmfH794Nd96hPD1aGMN1XMdzkaHfgbHAo6gmuWuJAC1xgbteQBXgE1zg7i1V3RlzjokyHNeFPJ6FOlTH52zmxoJ4xhhjjDHGmDwlwoMlSnDnRx/hy+mby2ivvw7BIKjSX5Xn82yC5oAmItWAv4ESqi7LR0QWAYNx2XQxx1R1doxzlQc+At5X1fujtncFblbVdt79ssB/QElVTY4zrwAuYHgpLpuprrc0dw7QL1YWnzEZiSB+P+9UqkTH+fMJHJGLYgMjRsDQ+8LM5kxOZ0700KyW0Pdb6IEL3jUHfsNbLquqv+//VU1uWHdaY4wxxhhjTJ4R4TTgrqefzl0AD6BnT7jrLvD7GSWC1cUz2aKqG3GZc+cAiMhhwGHAz5mNZTyPiJTD1a77MDqA5/kAqCMikQWM53nnjxnA89wGhFR1PVAW0rJL1btvTHb0C4fp9OabuQvgAdx7L1zYSbksEGILlaKHzmoGa4DhwCLgVOBwVb3fAniFyzLxjDHGGGOMMXmmRAkWnnYarWfOxJ+TJbTxJCVB8+ak/PqrTkkN+3qhGs79Wc2BTkQa4roaVwPCuCYUU7Mx9iIwXVWni8g9wDDgx6hTv6mqD3j7ng08AgjwL3CDqqZv+7l3Po2A0cB5XkfcKrgaZFWB+ap6bV4+fnNg6i0Ty7yR0HvNdddRddSovDnnxo3QpGEyA/8bwX2MSNu+Fn6qB8er6o68uZLJC5aJZ4wxxhhjjMkTIrRNTqbNvffuDeANGjSIZs2aUaFCBWrWrMmll17K2rXpOiJy1VVXccwxxxAIBOjdu3e6sRIlYPBgAj5N7bmO2qmILEbkWiSbIcKQVCAktxOSBYSkWZ48UFPkqepKVe2gqs1UtUUkSJeNsatUdbr3/wdUNUFVW0bdHojad6a3rYWqtosXwPP2/U1VO0YK/6vqZlU9TVWbWgDPZEqkCiL/Q2TdWczaoeFw1Tvu2DucnddYVeWxxx6jSZMmlC1bllq1avHwww8DUK0aXHtDAmMCN7OHEmnH1IU9FsAreiyIZ4wxxhhjjMkrFzdoQHK7dns3iAgTJkxg48aN/Pzzz4gInTp1SndQ8+bNeeKJJ+jcuXPMk/bsCaVKwXucD9AKeA54DZH472dCUp2Q3A/8ATwEHA+ckqtHZ4wxBcl1RV6Aq+dY+23pQsdzlTp1onfJ+jX25ptvJhQK8cYbb/Dff//x008/cd5556WNX301/J1SjQWcEH3Y4nx8ZGY/2XJaY4wxxhhjTJ4oUYLPevXilPGZ9BtcunQprVq1YvPmzVSuXDndWN++fUlJSWHixIn7HNfh1GQO+/xVxtEvenMXVN9Kt2NIGgC3A1fjkhYC3kgyMICgPpvTx2WMMYVC5AXcaxkK1Er4h4EjqnHXXfEPyfga++uvv3LEEUfw7bff0qxZ7GRkVah1SBK3bLqXO3kUIAVoheoPef2QTO4Est7FGGOMMcYYY7ImwpFx3iOmmTlzJvXr198ngJeVZq0S+Pqr5i4UF1GGWwjJL969GsAtQEdcnbOM73UEqElIjsnRhY0xpjD8QQmEPpH2J3+VKc/6ndXI6Wvsxx9/TLly5Xjvvfc4//zzSU5O5qSTTuLxxx+nQYMGAIhAs+Y+ls05EmA3cJkF8IomC+IZY4wpNkSkFPA6cDSwC9gAXKeqKzLsdzowC7hNVUfGOE8z4NWoTZWACqpaxRs/HHgZV/D6X6Cvqv4Y4zx9gfHArar6ZNT2eUA7oDJwIdBHVc/0xuoAa4ErVHWCt20QcIyq9snRE2KMMUWMKiVKlYo/Pnv2bBITE5k6dWr8neIoVQr2SMn0G6tzChDrjWasZbYBYIh3M8aYoq08oBAWGDICRvUqAYe518J4Yr3Gbty4kf/++49FixaxdOlS/H4/N9xwA506dUq7D1CqjI9vabEYOBfVf/L3wZn9ZUE8Y4wxxc0LwAdeZ7cbgReB9pFBEamIq330frwTeIWnW0YdMxqIri/xPPCCqk4Qka7ABKBNnNMtAS4HnvTO1RgoHTU+BxgjIiVUNQnoAHzlzXmCt08HXHDSGGOKNZ+PHVu2UCHW2IwZM+jduzcTJ07k3HPPzfG5t2yB8uF/02/czDvAPd69AHAu0B9ogMvGiw7mpQAPApNzfHFjjClofnz4mX3rY1QfNRDYuRNwr4WxxHuNrVDBvSTff//9VKlSBYBHH32UWrVqsXz5co466igA/tnkS17MsYssgFe0WRDPGGNMsaGqu0kfnFuAq3sUbTRwP3BJds7pZff1wgXSEJHqwHHA2d4uU4HRItI4Y8afZw1QVkTaqOoi4Epcdl4bb85rRGQ9rqD657jg3cO4QCMikgCcDFhnOmNM8SbS6FjfF+FvFh0P+NMNTZo0ieuvv5433niDc845Z79O/82XezgtZVH0JmUbwwmmy5T+lpA8CpyHy7g7Hhe8i7zv+SvD/sYYU2QtflZefOYG7gagzC5KHLGSb75pSJcu6ffL7DW2devWAJk29E5NhaVL8eE+nDZFmHWnNcYYU5wNAN6J3PGy5sKqOj0H57gEWKmqS737dYG/VDUFQF0HqDVAvUzOMR64UkT8QHfgtQzjc/CChLjOiLOADSJyGC7Yt0FVV+dgzsYYU7SIHAEs6BR+p/Zn88Ls2bN3aPTo0dx4443MmDEjbgAvKSmJ3bt3k5qaSjgcZvfu3eyJOsmGDfDdzwmcwILow8ajum/3xKCGCeoMgtoWOBWY7Y1YAoMxplhp+xWrUxL23k864VM++jg53T5ZvcaefPLJtG7dmvvuu49///2X7du3M2jQIFq0aEGTJk0AWLgQdu/GD+lfZE3RY0E8Y4wxxZKI3A00BgZ792sA9+ICeznRD3gpl9N5C1dI/WLgK1XdmmF8DtBeROoBm1V1OzAPl5XX3hs3xpji7H9AtV5MYsu/PiZHLVi96aab2L59Ox07dqRcuXJpt88++yxtn7PPPpvSpUszceJEXnvtNUqXLs0RRxyRNv7cc1DBt50LmBF9zYpZziqonxPUjkALXGZexg9ZjDGmyKq7h8PTbeg7gcULE1i4cO+mrF5jRYR3332X1NRU6tatS8OGDdm5cyfTp09Pq4f31FOEExL4EfiuoB6b2T/iEgyMMcaYokdELgNu9e6OUtXx3vbbgZ7AmZGAmYicD4zDNbwA15QiCXhWVe8hBi8T7gegdtR5qgMrgCqqmiJu7cFfwCkxGmj0BS5S1YtE5FmgK9BTVT8WEQUqq+pWEanlnXMg0FBVB4nIWUAfoCYwQVUn5eKpMqZAichTQGegPtAqKpMVESkJPA6cg+tw962q9o5znn7AINwHy58A16tqclZjGc4xFzgJqKOqG7xtDXE/c9O9n885wEuqOtEbvxcX9K/kLdNHRJYBN6jqx7l4ag5OIhWAzXhraIMS4uv6XVjyQwnKls396f/6C5oemcw12x7jQW9VmedtVLNVOsEYY4qNkNTH/U3ZbU0Z2jbsDKmR9CuFwLHfcWrVo5j9UQBfHqRlLV4Mbdqg4TBXqPJy7s9o8pNl4hljjCmyVPUVVW3p3SIBvFuBS4GzojPeVPU9VT1UVRuoagNgCjA8XgDPcyXwdobzbAAWA5GgQxdgXZx6eNGewNW6+yTG4/gT15H2dmCut/kL3DKvE7FMPFP8TMEtDf89xthDuEYxTVS1GfvWrQTSgugjcD8HjYFDgWuyGovjO1xQPOJK4Juo+3OIaoCDW96+FDjBu15NXCOE+Zlcw8RXlqgieA/rnfyzdg+3Dgzn+sThMFzRJ4WKO/9iMA+mG7udR48SobNIhgJ8xhhT3ISkASG5g5AsBFbjMoeXVdnDRcDOtP0EUp69irlzhFGjcn/ZnTuhe3dSfD6+ACbm/owmv1kQzxhjTLEhInVwGT6VgDkislREvsrmsf1FZHjUfR/Ql9hLaa8FrhWR5bhMoCuyOr+q/qqqj2n8FPc5wGG45hao6g5gPS5A+Gd2HoMxRYWqfqqq6zJuF5GyuCXq90R+FlR1fZzTdMVlyq339n0OF6DPaiyWl3FdoiM/2z2AUNR4WhBPRErgfhbHsjew1x5YEMnKMzm2AT9pr2N1WcfY1Ct44UUfw4fD/i78SU2F/teE+fgTmJjSkwr8lzb2H+XWjuH633F1UZeLMFuE50R4QYQJIoREmCLCDG9slgiVc/k4jTEm74SkISG5k5AsAlYBdwM/AucD1Qlq33Kp/DviW/YASORzkbYL0cT7uO32MKFQ7FNnx44d0Lkzqb//zs6UFIKqpObuAZmCYMVdjTHGFBte0CB+a630+/bNcP+5DPfDuCYWsY79BZchl9U1JgAT4oxJhvv9gf4Ztu17jZBcjvifRlODBHXGPuPGFG2NcMsq7xaRM3HL24fFWaJaj/SZfKvZ20Ams7FY1gLrRaQtUBn4GtgSNf4VUEtE6uICeAtxWbHjgGG4zLx9smhNNoSkLJO4mw84NDqHoytTeZb+XD90DCuWw8infFSpkv3Trl0L116VyiezU5mi3TiJL6OHZ5Vn++U7tcxfIhwJPAJ0As4AIm9zhX1/X7Rgbza0McYUvJA0Arp5t9a431VvA/cBHxPUJG+/UoTkceCWwT8z/cmjWHZ+iNvOnkVgZxk4+of/MSVchV69buPHH2HIEChVKvvT+P576N2blJ9+YkdKCmeosiaPH6nJJxbEM8YYY4qKkFRFAqMIlClPyq7nCEkTgroz6wONKTICuDp5P3m1H1sBs0TkGFX9O5+vPQ6XBVgZeAGoHRlQ1SQRmY/LuDsMmKuqv4lIHREp5W3vl8/zO7CERHDlBp4AKtKR2wlRnzADI7v053lq8wfXTB7Hke9X4t5hCfTuTabBvD//hJdegkceTKFG8jo+CQejA3jrgDNQXR7ZoMoyES4EJuFqpcZaaZSKK5MwL1eP2Rhj9kdIGrM3cNcK92HX27jMu08IZqj3GpKWuKWt9YGrgPEbSqmuvF9+bLiKVyK7ncDtNGYFdz78OG9MCnDfiBJ06QJlysSfyvLlMGYMPDM6TMCn36ek+Huo8muePl6TryyIZ4wxxhQZ8jAlKpXlzM/gw2NrkJo8BK/7rjGFJV6DmTjW4DKhJgGo6hIRWQU0AzIG8dbgMvciGnjbshqLZxquLuUe4GPgsgzjc3AZd4cB13nbFuDeVNXGZeuZ7AjJUcBTwJnAK8BdBHU9QUBkDK6maD1gQydmXPxzyuGHD9lyP4NvvYo7b0/g9A7Q6jg/Rx4JJUu6mkw//QRfL0hh3uc+Kvq3c2vKkwzmQUq5VWQRn0UH8CJUURH6etdsy77vcfzAUFWso58xpmCEpAl7A3ctgE3AW7gyLXP2Cdy5Y/zAHcBw3O+kTgR1VWS44SlMYz072EVZcKnG1/EcF6TO4M61j9H3ii70vxHOPtNH65Y+GjWCQAD+/ddl3n31eTILlyRQO/A3o1IT6Zs6YUQZ3WkBvGLGutMaY4wxRUFITgY+H/F1Nz5YsA5/0t+MOHdlavujaUFQfyzs6RkTi4isxnVoXhq1bSYwUlXf9xpULAJaqOofGY5tiKsR2RoX4HsHmKmqozMbizGHud71ponIJcBOVf0wunu0t9+JwGQgRVUbetuuwTXeWK2qZ+fNs3IAC0l53JKvgbi6TTcQ1MybgYh8DzQF2EZ5XqcnczidpSXasCK5PikaoIQvmSMDK2iZtJBz+IhLeCtj8A5cs5QTUF0Y/1JUxTU0qc3eQJ7i3uv+ATwDvKDKppw9cGOMyYaQHMHewF1zYCMucPcmMJegpmRybEPchyLH47qnP05QU6PGWwGvsoiGjCIB3Tch65wJ1Zm5sTcy/1Tqv38ca/bUJIyfMv7dNPX9TIvkRVzM25zNTPyu8kAPVN/Iq4dvCoYF8YwxxpjCFpIEfAnfLvm3RZM7p1Tyz5w5k62bN3HG8XVZNDxlvl9STiVov7BN0SEiz+MKb9fAZRf8p6qNvbGGuIYx1XBZecNVdao39iKuYcV07/7VuKwEcLXK+qu67ITMxjLMZS5eEC/D9r6kD+IFcLWH3lPVnt62I4BlwGBVfSgXT8mBzS2d7Qk8BpTBvcF8PtM3pBEiDwN3xhsOI/iySJBLwc8bdB8X1FA/d0oEl9nyfcZC7F6NvEXePCNLay/z9r8aSMC9UR6pyrIs52+MMZlxmcldcYG7ZsAGXOBuCjAvy9dJ9/raDxgJrAT6ENRvo8b9uNfQRFz2+OX0ohruA6iLgBKRXYcMh/uHuP+/ewFc8N7eTzFiSAIaoPpXTh6uKXwWxDPGGGMKW0huRwIPv7HnUd/iZet56CEXS2h7bFNeDf5Ik5r0JagvF/IsjTnwhSQBqEhQNxb2VIqMkDQDRgPtcMHZwQT1n2wfL1Ib+BaomoOrfooLuJYEFp/IF7UWcGI34DhgK/A80Bl4VHXfAKEIZwAzcUG8r4HjvSW35XFdyQfglmt/gHvjPMuW2hpjsi0kR7M34+4YXMZ4JOPu03QZdJmf51Bcp/QLcB+SDCGoe6LGG+E+dDgO9+HJE+nOLSK4MgKfA3X+rAmNfoPdpeGk+TC3PSTEDyE+i+r12XzEpgixIJ4xxhhTmEJSD/H/wjH3lvo5oQdXXnklc+fO5a+//qJp06bMeuocPbH09H/RlMYE1ZaAGZOfXCfAW4HOBPXdwp5OoQpJJVzn3huBJbils3GXsmZKpBmuSHvzbOy9BDgT1c17D6cE7k1qDaASUBq3XHa2KmfFviTX4GokdldlVoYxPy6TdCCuTuJPuGDeRFV25eCRGWMOBi5b7hj2ZtwdjQvcTcUF7j7LduBu7zkvwjVh2glcTlDnRY0JrqHFk7jsvN4E9bu45xKpwyFMZCunvX8mdH8DdpSDC6fBi1dBtfR/PabiGkHdQIzsdlP0xereZIwxxpiCIoGnKVPXzzGDOOqoo7jiiis466yzGDx4MK1ataLOaYlCQsVyILbUz5j8FJIWIAMpUx8k4VlCUrawp1QoQuIjJJcDv+AaVFwHnLDfATwA1e9RbXEdY+6/jjFJYaQv0Bi4jUPZSjl245bA3gycEh3A81THvdGtC5Rnb727Y+JfkhdUqZwxgOeNpaoyXZXTcZ0iF+KyDdeKcL8INff7sZpiS0QOF5EvRGS5iCwSkbjfXyLST0R+FZHfRGSsiCRkZyzDOeaKSJKIVI/a1lBEwiIyzbs/R0R6R43fKyK7va7akW3LROSMXD58k1FIhJA0IyTDcYH+74FrgE+A04DaBPUGgjo3RwG8kFQgJONw3WnfA5pnCOAdCkzHZRyPAdpkGsADUF3HSH7nab4+7wNaPnAPxwN3bTuB/877nhUP3cWEzYfyCH0IczcDUb3GAnjFl2XiGWOMMYUlJB2B96lzIVQ7Md3Q2r+20n/427z37BWwfra7QdtcvZE2xsQWEh+SsIDKLVvR7u3AByMahfuP3bNhzSb+wQWPrlV1NYpEZDxwMrAL2A4MVNVFGU8pLvvs1ahNlYAKqlrFewP+Oi6bYxeuhtJ1qroixnmOA17E1T16WNUtrReR04EeqnptHj0LkcLpo4ETgeeAewnuE1DbbyIkAj1UOTLqmotwy89ui3PMFcDTuKW1+xRyB8qpsiMP5lYD6A9cj/taTQaeVGVxbs9tigcR+QR4RVUniEhX4C5VbRNjv8OA+aRvvPORqj6T2ViM88wFygGvqerj3rb7gXOAP1T1IhG5D6inqld54x8DZYFBqjpXRGoCq4BKqro7L5+Pg5LLgGvO3oy7I4A/2ZtxN5+ghnNx/nbAy7iv+zUE9e0M4xfjsvN2AJcR1E+zed5SuN8j9xHUkVHbfwEmEtQR3v1FwFcE9cb9fgym0MX6RWiMMcaYgrEGX4l1/Pmh8OeHAJxxf1K1pBQoW1ICid38Ev526HqfoPhKpBBO+rOQ52vMAcXLtHm+ThUOrV8tufGTYwZQ6Y+ddHo02Vc6gRptG/P0Vyv4DJiE12EVlz1xtaqmiMgFuDd2DTKeW1W/B1pGXWs0pKu79gLwgaqqiNyIC9S1jzHNQbgMtW9wmSAvi0hp3FLXzvv/6KOEpApwP3AtLivtOIKaH8GresDvMbatyeSYB3BBi3iOgNwH2lRZDwwT4SHgUuAW4BsRPsMtaZuesYmGOXB42XDHAZEu1VOB0SLSOEZwvSuuQc9679jngLtx3Y8zG4vlZVzDlcdFxAf0wGVfneaNzwHGe+cqARyG+5loj2v40x5YYAG8XHCBuxbsrXF3OK6b9RRcw4kvcxW4c9coCQwH7sBl311N0H2PeOMVgFG4mp3jgYEEdVsOrvAwLjD4ZobtJSFdq+8vcR9CmWLMgnjGGGNMYQnqj7jlYWk+7un+FZFDP/ou/BvwtHXNNCbf/PNkb/oOPC+w+KdAkKuGPMPjjzekXr369DlhZ7hy4J8rFiSGH5Re1BOR1qq6ONJZ17MAqC0iAdX4HQi9zLteuPpreG+4389wntvjHJ6M67RaCtKCSMOAUaq6dT8e814h8eHepD7onbsf8Equ37DGVw9X3yly/dK4pbKZBfEuxgUYzwRSSP/+RYGjyIMgXtoJld3AeBEm4L5et+AK1q8S4SlgnCo5eXNtioe6wF+Rn2MvuL4G9z2bMYiXMRi92tuW1Vgsa4H1ItIWqIxrxLIlavwroJaI1MUF8BbignfjcK8DHXDLO01OuMBdK/Zm3DUG1uECd28CC/LsdTAkzXFZ2Y1wH5S8SDBqOaTLznsF92HFxQTTd1rPxvkH4D7oAddxNrK9DHAo7jUy4gvgekJSlqDmOoPZFA6riWeMMcYUQar6N/AEMEhEqhT2fIw5EKnqhoEdfUMoWbV0yWa34vf7Ofroo/n3339ZJ8f7KpUON77zNZ7E1WFrEOMUA4D3MwvgeS4BVqrq0jjjA3DL7mIZjsvkmQncISItgYaqOjWLa2YuJMfjgofP4ppOHEFQJ+RjAA/2zbqLfIiRMTsvjSpfec0rTsY1t4C9wUyFqKW5eUgVVeUTVTrhsv3ex2VArRPhSREa5sd1zUFpHC6A3s/7fxpVTcItz23v3eaq6m9AHe/Dgfa4bD2TFVfj7lhC8hDwKy67uReu/tyJQH2CegtB/SJPXgdD4ickd+Dqfe4AWhDUsWkBvJCUJCSP4IKy3wNN9yOAdzeuKU/E0VH/vw334U8Xb7ktuEw8P7DPMnFTfFgQzxhjjCm6HsdlntxV2BMx5oAUkvYQviyl5VOBGwbexb333kvFihWZMmUKsz//lmHTy7Ftl/T3+/gF97OYxis23x1X6Dwr/YCXYg2IyN24LJDBscZV9WdVbaeqxwLv4l4XBojIpSIyVUTGi0jl7D5kQlKNkIzFBfB2A60J6kCCuczqy4IIPvbNUopkKGWWiQeAKl+o0gG3zPBLb7MPVz8sX6myXJUbgTrACKAL8KsIb4nQTgTJ7zmYfLcWqCkiAQAREeIv9V4D1I+63yBqv8zG4pmG+z5uAXwcY3wOLuOuAy7gA+7ntxtQG5etZ2Jxgbs2hORhXEbl10BP3HN+AtCAoN5GUPMu885dtwHu6/Y/IBFoR1B/ixpvjgvuXY/7HdKZoP6dg/MLIXkA98FCRCqRIF5IagP3eNvL4Trdgvte/AsXtDTFlAXxjDHGmCJKVf/F/QF4s4jUKez5GHNACUkJfAkvpB56dmqfe97mwgsv5JxzXDyoQ4cOXHHFFQwb8TAjr6riLxngMFx3QgBEpAcwFDjLy5qNyyt0fwIQijF2Oy5Lr6Oq7szGrAfilnptBYbg6md96m3PnMsKuR5YDpyP6zx7WpZdD/NOdVxzjuiARj1cY49N2T2JKp+qcipwOq7gfHMRmuTlRDO59hZVHgUa4urm1QTmAV+L0EeEEvk9BxEpJSLTvA6q34rILBFpHDUuIjLMG/9eRLLM0hKRCSKiIlIpatvl3vFLRWSJiJwX59jzROQH73ZO1PYrvQB1saCqG3DLsiOdYLsA62I1m8HVy+ssIjW8YF9/XKOarMbiXXs3btn2zarpA0kiUhVXJ603cBIwXURScAGgIbgsvbuz+nqLyGEi8o339fxBRN6MBP9FpIGIpHpjkVujOOcZIiI/isgCEakftX2CiBSNWmsuwHU8IXkUt3x/Ie4Dl6nA8cBhBPV2gvpVumWteXftvsB3QFXgeIL6P4JetrZ7Hb4TF0z8D5ed92KO5uGWAj/Jvh/8hNm7dPZ/uIw7AAGGEJJS3nW+wIJ4xZrVxDPGGGOKtjG4N+j3kb2MH2NM9lyjqcmHX/3YD7RoWIvrWpeFr1yywl8bd8K6ZZBajvt/9QXObQFTB1IaQES649VoU9UsM8iAK4G3M9avE5FbcYGgM7NT284LBp4FdAQq4P6OV9wbt3KZHhySk3CF9Zvill6NyGHR9LwQK+uuPvD7/ryRVmWOt6T1C+ANEU7w6tnlO1VSgDci18Uthx4PPCLCM8BzqmzMxylk1hTlZlx3zaaqmiQiNTI7kYhcgqu7GL2tCq4jcBNVXS8ip+DqAlaPcYrhQCTA9xbwkYgcCvTBfb8WaZIookPTvv+uBSZ4wcdtwBVp+4m8iGtYMV1VV4rIUFwADVx23PMAmY1lRlXfirN9k4gcjauT9x4u+HMa8AEukLOM7H29/wROUdVd3uMZhaupN8Ab/09VW2Y2RxGpgAsmHo1bhnoTcLuInAXsVNX5mR2fr1xgqy2uxl1X3GvLKtzP6ZvAN3kesNt3DofgfjYvwn1t7iYY1XAkJIfhGpmcgPub7lGCmrNmOSHx476froR9MoATgOaE5Djgsgxj1XAZ4c/gMpkHERLJ9+fE5AtR+7oZY4wxRZqIXAGMBY5R1V8Kez7GHBBC0vSVz/0Tr3ohtVmzuq5RQcUyknLPxb5qPZ9KTd6yg4AAh1Rgz5IHA58cWiGlC0HdLSLJwHrSZ4+d4b3Z7g/UUtX7ALxuk78Dl6lqWoaMl1m7Fpcl8p+3eY+qto03XRGZDtypqsu8+8Nw2SXbgR6quirGY6yB61p4GW6Z3k0E9eccP1d5QIRuwGSglKpXfD0k44FaBHW/l8SK0AiXQRVS5bq8mOt+zqMucCPuw5ZSuEL2o1T5MX+vK8cBU1S1gXd/HXC6qi7PxrGH4gJDHXBBq8qqulVEquECIK1V9VevC/NwVW0d4xxf4oJdArykqieJSAgYqaoL8+ZR5j1JFB9wvV/8N6Zq6vU6VItFcwgR+RkYrOpqp+Xk6x11jkggaLuqDhSRBsBSVa2UxXFlgW9xHwZcgatpeT/wIXCBagF/MOAa87TFLSvu6s3nN1zQ7k1gSYEFqUJyAa5kwh6gL8Go7ycXYOwLPIX7EKM3QV2yn9dpASzFfYATaxn/Rtyy4ePYN2Hrb1xw81hckLkJQf11v+ZhCpUF8YwxxpgizvuD+zvgJ1XtVtjzMeZA5QXdkoHeqvpaYc9nv4UkgAsoJeKCM7cCUwoz60KE24BbVamdtjEkHwMrCerVuTx3N1zGTU9VJudqorkkQlngclyGUxNgFi4r5yNV8rxpiIi8CmxW1QFeptQmXCOUrt4uT6hqzOfECwyPVNVPRETxgnjeWC/gOWAzUBqXMbrP0msRORV4zLt7C1AFF9S+Ja8eY16TRKkX8AVeDmv4tONqHcfCPxaKIE8rOkiHZmtZe6EQkZNw2Y51VDVlP77eJXBLS+vj/qborKr/ekG8X3HBIT+uXtwDqvtmiYlIpIbbetz3+R3AZ6oarzFP3nKBuxPZm3FXBxe0igTulhbo61xIyuOakF2FaxB0U7r6oiGpjsvO64x7HbgnXXZezq/nx2WMXozLvo1kZGenLmcY93thPO73wlUE9ZX9nospNLac1hhjjCniVDVVRO4B3haRNqq6qLDnZMyBSFXDIrIFF4gonkJyGjAa11H1MeABgrqjcCcFxG4SUJ886KypypsijAHGirBYlULLLlFlBzBGhOdwS58H4jrbLhNhFPCKKnkSKIpqinKGtyng3UqralsvOPOFiCxT1W8zHHsVsEZ13ww0EamIC0Ier6o/i0gn3O+fo7xuqVGPVz/DZUMhIuW9x3quiAzEdRT+G7g143GFQRJFgMv94h9dv2L9kqEuIWlTqw0Tv5vI9e9ff/2elD0XSKL00qH6ZZYnKxz9gFeiumFn++sNaZ1uW3rBvKdxwaBHcI0OaqvqBm8p9WRcZ9NHYpxjDK7MByJyLC6I9qGIPINbbv2Zqj6Vlw/aC9ydhMu464Jr5rEctzT1TeC7QvmAIiQnA68AlYBuBHVKhvHOuFUUe4AzCGquX+u85bfua+CW567AZdU1BypG7ZmCC+z5o7b5cHUUn8d15j3Rm78pZqyxhTHGGFM8vIPrRvdgYU/EmAPcZopjEC8ktQlJCFeDax3QlKDeXUQCeBCpfxfh3pjXJRudabPpNtwb2jdEKJVH59xvqoRVeU+Vs3BvsOfj6hGuE+FBkaiMxP0gMZqiqOpm3PLqid791d5128Q4RQfgQhFZLSKrvW3fiUgrXC27rapu6bWqvourw1g/xnmi/Q/XLbMGcKGXOb4JVz+tUEmi1PCLfzrjGJ/weELZHv/0CBxf+3hEhD4t+jAgZYC/9CulD+MlvpBe8qIkSsnCnnM0ESmHWz4/LrIth1/vNF4wbzyubiGqusdr7BE55zjg1CzmE8B9SDAQVyfvH+/rfbGINMzxA8zINYA4lZA8hSs98Bmug+94XBffIwnqvQT12wIP4IWkBCH5H66p0HLca+2UqPHyXgfwd3BLjZvlSQBvX+fiOox3xDXROBV4CLds9yXgbW+/j3GdzWcDL3ldeL/EmlsUW5aJZ4wxxhQDXgHzQcBcETlTVWcX9pyMOUAVryBeSErgsqbuw9VDugiYXgQLltfDvYmMiNWtdr+psluE7rj6eI8DN+TFefOCKt8DV4lwNy776QbgdhHeBJ5UJUfZ1Vk0RXkN9+Z+jJdVdTzw6L5z0nSBNW85bXOvJp7gMrZqeI0tTsS9b1ybyZxOACqq6oci0hy3xA+y03gln0miHBPwBT6vUa5G2cdfe5ydy3eyevXqtPHly5fz6axP2bxsM8PfGs6I20f08x/pP0ESpbUOzZ8MQq/W7Tjg4qj6dtVxmVGNcNlb16vqp94hPYBvVXWZiDTDNSiojlv+P1FEzsAtez4eeF9EvvXur8MF6wK4QNtOr2xAN0C9r/sVwCRVTRaRkrhGKX5vTkOBuqp6lXf/FFxA7QUg5H1/XAGk4hplKFB2v54Ut1T0FPZm3NUAfvbm8ybwY6G/roXkGFzQtAnu5/j5dHNy2Xmv4rLi9s3Oy1uXAu9GfVDzuXeLzOUo3JLjWwjq9xmO/RIYQEjKE9T/MMWKBfGMMcaYYkJV54nIh8BD3rLaovYm3ZgDwRagcmFPIltCciZuWdxhuAyMhwm67pNFUMbltJGsrt9j7LtfVFkhwtXA6yLMU+WNvDp3XlBlAzBChEdwQZlbgIUifIGrlzXN63wbl9cU5XFcU5Q5Lt6WrinKYGC8V7sM4OFIgwkRGQ78qarPZT5PXSwiDwCfeI1cUoDuqrFreYlIAq6BSlfv+O9EZKWI/IALLF+c2fUKwJ+p4dRyw04bFujeujsTlk9INzhnzhw6deqE3+8nsVsio24bxY7kHck6PN8CeA2Aq3HZ9dEeAhao6rki0ga3hPkwVU3GLaUd6+23G7jRe54PwdWy+x3YgFsCe493/g64TrIjccHBB7zvFx8u2P0BkERaUFlSccGn7UAkE3EOUdl/3jmXAqcD/b1thwI7vK/3fNV9AkbxucDdqbjA3SW4wN1PuCWfbxLUfG0Mk20uc3ggLtt0KdAyXVMI92FKInAn8BHQj6D+lY/zqYN73jL72Yp8DffEGPsS931wPC5TzxQjFsQzxhhjipfBwBLcm6U3C3kuxhyIin4mXkjq4YqpdwGmA+cT1JWFO6n4vGYPVUkfsKuHy9r5Iy+vpcpkEU4DXvTq463Iy/PnBVX2AK+I8CpwGi448AawRoSngZdU2Rr7WF1HJkXsVXUTroh+rLH7MjlOMtwfBYzK9IHs3TcZ9ziit12VnWMLgg7VLYHhgQ9f++G1jv1a9/NnHN+0aRPVq1cHYHfKbv6T/wj/HX57nxPlAS8L7kXgJlwwNlp3XI1DVHWRiPyJe15nq+pJaY9H9waPVPUfEXkSaKqqfb3gX4rXDXuOV6fwH6CPtyw6ei7DcJlbZ+M63K73Ogt/xt7SHQuAWiJSx/vea48LEt7prRCoiauLVzlekHcfrvFOO/YG7qoDPwDP4hrw/JSt8xQU93o7ARc0Gw48SFBTosab4rLzDgeuB14ogIzB7rjmFB9msk+krMC+X5egriMka3FLai2IV8xYEM8YY4wpRlR1qYi8hvtEfZr35skYk3c2k3Xtr8IRkpLA7bg30X/ignfvF+6ksqWe9++aDNv+Ipgv2U634t6cviHCSaox3sQWAaoorobhXBEa4wI7w4BhIowHniqKQcjiKFVTJ81ZPef8DTs27DNWtWpVtmzZAsAHv35AeFcYlFfzaSq34rLVvvGy4gAQkapAgqquj9p3NXt/dmISkbK4zqiDvU31iAqWq+p/IrINqIXL3oxlInC5iDyPq6d3L14QT1WTROQLoIOIvAEcpqrvi8hTIlIKl5n3ZZYBPBe4O429gbtDgO9xTXjeJKjLMj2+MIREcPX+RuNeb08kqF9HjUey8x7EZTamz87LXz2Bt7PodJtZJh64bLyT4oyZIswaWxhjjDHFzxDc8rkrCnsixhyAimYmXkjOw2Wr3APcjyumXhwCeBA7iFefvGtqkY4XtOuOy4x5LD+ukddUWaHKAFxW01BcNt1yEd4RoYNI/Ow7ky3vCpI05ad9S5S1b9+e9957D1Xl+ZnPh/GzTV/QVXk9ARFpisuevT+PzlcC10l2pqrmJnPwZeByXAOSN3B1DKPNwWXgtQUWetsW4ALl7YnXYTokAUJyFiF5AdcBdzZwAi7D80iC2pygjiiiAbyquOfiFVwWXusMAbz6uAy2h4ERwKkFFsALSSNcsPX1LPbMThDvBC8YaYoRy8QzxhhjihlV/a2EyNgL4MEkkfYlXP2ulcDLeLWPjDH7bTNFqSZeSBrialp1AqYAZxDUfAl+5aP6uDpbW6O2pcsYymuq/OrVx3tNhLmq5GeB+Tyjyr/AEyI8BVyIq5v3CfCtCCOB17zluCYHdKju8A/3Txs6YGj36v9Wl127dvH5558ze/ZsjjjiCDp27MiJJ53Iwj8X+jiRp/LimiJyGS7zDlzgqhTQAPjVy8KrAbwgIjVV9VkRSYk0E/GOaUCcQLdXh3AyLjg2IGpoDVGZxN5y2oq4TLKYVPUPEfkdFzyOlZk1B1eTbw0ucxRgHi4LrwPQN23PkCR427rh6rVVxdWQexK3VHZ5vHkUGSHpiKsDmAqcTVBnRY0JrlHI07jn9ASC+k0Bz7AHrutzVstg4y+ndb7A/a5rAhS9QKqJy4J4xhhjTHEjUnEbtCrlsoUujRq5Hrcc5jqs6YUx+2sLUEVEpFCbx4SkNHAXMAi3rC79m8nipR7wu7d8NHpbvnbZVuV1EdoDL4mwRJXf8vN6eclrcDEVmCpCG9yyvbHAwyKMAZ71GmWYbAprOLTxnI09xnQdQ/mS5QH4cIUrKdaiSwt2Hr+ThZ8uTCWbtQDTuCYDrYD3CGpaFpuqvoLL5Ir2bOQ/IjIXGBnpTourc9sfGObVtquNC5alIyIBXBbWZuCaDK9T3wAJItLBq4t3LfBuNurVDQFaq+oKr/FGtEW4unW92FtvcR4wA6h538UsJiTn4gJ3F+H+NlmMy4KdQlCLx5LwkJTFzbk/rsvzDQR1S9R4NVzDjUuAp4BBhdRIqCfuec2qnEokEy9eyYKluADfiVgQr1ixIJ4xxhhT/Iwp5Zak7COMXDufk/9sJ7wBJAPrLGvDmBzZDJQAygA7CvzqLtOjMy777hDcm+tR+VQ7rqBk7Ewbb1t+uAX3ejlZhJOL4+uhKouAXiLcieskejMwWIRJwEhVst8N9OD2kU9827pP6V4h3g4BX+Dj5CHJG7N9xpAIEgihKafiatO9lIv53QW8KiK/4gIvvSN1bzN0Fu6BCyR9Byzxsvrmq+oNqhoWkd7A817Nuj9xmWOZUtWvga/jjCWLyOdAC1W39FUnsbrU5VQ7ug5bE7vyBy6j6xtcd9wpBLXYBMwBCMkJwKtANeBSgvp6hvHzcNl5ycBZBDVfP4CIKyTHAM1w9TOzUhJIjg4spxPUJELyDS77cnyezdHkO7EP6o0xxphiRKQ2Lisn7YO4P6jFBPryXuAivtOm7EgtHbU7qSVKsGLPHmbhOh4uLegpG1OciMhJwHygnqquLdCLh+RwXIbHubhMkDsIap52by0MIswFlqnSH4hkvGwHOhNM3zEzn67fBBdgGK/Kzfl9vfwmQhlcYGYgcCRuWd1I4H3VfeqZmSiSKGV5lpPZwkfU4Hiu3CcDKUmHavYDvSHpA/IKNc+G9R9vQ1MaEdTsBwGLk5CUAM7CZdxdCFTCZem9iQvc5XkdwXznlv8OwdUa/Ri4It1rbkjK4bLzrgVCwI3psvMKWkiG45Y21yOoqVns2w8YSVDLZ7LPI8B5BLVpXk7T5C/LxDPGGGOKl6Pxfn//QzXukMd4lT5UKp/KJd0T6NsGmjaFcuUgKQl+/RX/4sUcMWUKDVev5sYSJViQnMw1lrlhTFybvX+rAHkXxHPdGXsD8/cpgO6CWvcAtwHLgfYEdZ9ldMVYfeCjqPuxGl3kG1WWi3ANLm9qnipTC+K6+UWVncDzIowFzsZlG74L/CrCKOBlVbYX5hyLKh2qO2SYnAf8whq+1qE5z2gRkWOA5xP8+I89jONG3XORVq+TKJf2b13+v518/2MvWQPcrapZ1Swr+lxH7OjAXUVcc4sHcIG71YU3uVwKyVG47LujcXUFx6TLWgvJid54FaAnQZ1cGNOMmo/gltK+kWUAzylF/Hp4EV8CtxOSSgR1ay5naAqIBfGMMcaY4uUfgOl04srAK5SsXJYJj/vo1s1HqVL77nzccXDppfDIIyTMmwe3385xixezRIThwIgMNaqMMXuDeHnd3OJm4HHgR0LS2lvKJEBX4AmgAnAn7o1kVrWOig0R/LiOq9EBuwIN4gGo8lqG+ngrC+ra+cXLuvsQ+FCEY3DfY48B93sBvtGqBfccFwci4sN1iH05FzUv/wEuSHpFHvrx7/LHXf38Ovm091HM//BV8X15aY0XPmHgtS/xGK5OXvETklK44HA33NL+CrhutMOBqQQ13xrSFAjXjfVGXGfZ74FWBPWXqPESwH3AYFzdztOKSEZ0K1zH7ay60kaUJH5n2ogvAcF1Hv4oi31NEWHthI0xxpjiRHXpKG5efRHT6NyrAj+vSKBPH2IG8KKJQPv28NVXBJ58Er/PxzCfj5dE7G8BY9KI+LZBmxHAp65RzGl5cl7XYfZ/3r2jgCFeFsgs4A3cMq4jCOqoAymA56mBSxyIDibVB/4jfbfagjAQ1xF3skha0fcDgio/qnItUBcXyOsNrBRhskjsGqoHqTa4oPJ+dytW1Q06iSNBrynV6r6AP1CSQCCAr0EPqHFWarO6/of8UsxKV4SkFCG5kJBMBDYA7wCNgGFAfYJ6IkF94gAI4NUBZuI+OHkYODlDAO9oXGDrVlxQ/NwiEsADl4W3GpcJmR1ZB/GCut4754m5mJcpYJaJZ4wxxhQjIpwhjGww+G7h/vtdcC4n/H4YMAAaNUIuvpjLw2HW4P5IN+bgJtIUeLs8NL7XbekGdEPkW+AidD+XjblsuxcBv7fFh1s6OxiXBXIKQZ2fm6kXcfW9f6Pf/LumFsGCLc6tyi4RuuPq4z2MC+odUFTZCDwgwqO47+FbgC9F+Ap4Epjqdb49WHUFVgLf7vcZQhJAEl5MrnJC+IaHZvnvvde9YvyyfDlX3r3Jv/yn1AbDuxWDLHfXAftc3HPSCSiPqwc6BJdxt64QZ5f3QnIpMAaXSXkSQV0YNebDNYt4GNcwJH12XmFz8+sBhHLwupmd5bQAX2BBvGLFPn03xhhjigkRqiQkMOnCiyS8PwG8aBdcAE88gU+E+0Q4Oe9maUwxJFIRlw3XOMZoC2A2Ign7efbLgA6k//BccMt2Tz7AA3jgAnZhXJfM6G2FssxTlV9wReoHiHBxYcyhIKiSpMokXOZZO+APXGH+lSLcKZLny8WLPHFtXLsAU3KxlBbgxtRw6lGXjS3vv/DCCznnnHMAOOKII5i/4Bu+fG0Az83mCkJSP4vzFLyQlCYklxCS13AZd1NxP4/3AnUI6ileRvCBE8ALSRVC8jru+z+EC9BFB/Dq4rLzHgceJGN2XtFwAu7rlN2ltJC95bTgMg9P8AKFphiwL5QxxhhTfNxZvjxVX3wRX24CeBE33ggdOhBOSGBU7s9mTLF2NVA9k/FGuCyInAnJocDTcUarAIk5PmfxUw/4I0P2V33SZ+YVKC+49SIwXoTDCmseBUEVVeUzVbrggtRTcAGbdSI843XuPVi0Ag6DXDQ2CUmdML7/Xf1mM1+L407luuuuA2D37r0JTxWPvZ1yZRJA/KNzOd+8EZIyhKSrF8j6B/c9UAuXDVyHoJ5KUJ8qQstG805IzsFlPLfDLY29gaDu8MaEkPTyxuvisvMSi2hJg57AMlyWYHblJIhXAdfgwxQDFsQzxhhjigERygUC3HDLLQSqVo2/399//00wGOTQQw+lUqVKnHjiicybF7vJpQgMG4Y/OZljRQp+KYWIHC4iX4jIchFZ5HX8i7dvPxH5VUR+E5GxEpUVldlYhnPMFZEkEaketa2hiIRFZJp3f46I9I4av1dEdotIqahty0TkjFw+fFO0nLaKBoziZq5gHMcnLOHoEitoXuJnLvC9x72M4CWu7OU1aciJZ4Gyccb8wG2EpE3upl7kxQrYFVomXpSbvTlMFqFEIc+lQKiySpVbcTXh7gY6Ar+IMEOEM0TIg4+HirQuuI7Ti3JxjmveXxwuHXr/W95/dRinNS2tF51QNjzvoQbJpx5dSts3LR2+qENjfapviTCaegEhKZwgaUjKEpJuhOQNXODuDVx9yruA2gT1NII6mqD+mel5iisXuByNa/wyH2hGUD+KGq+Cy2qbiOtAmz47rygJiR/oDryewxIE2V1O+x2wC1tSW2xYTTxjjDGmeDg7NZVy116b+U7XX389GzZs4IcffqBKlSqMHDmSCy64gN9//50qVarss/8pp8ARR5D8yy/0xH0aW5CeB15Q1Qki0hWYgFv6lY6IHAaMAFoDf+MKbl8DPJPZWJxrfgf0wS2bAbgSVx8rYg7QHveHPbhlkEtxS1nmikhNoAHuTYE5AIjQvrV/advFqS2oVC6Z1q3hpFYJVKwIycmw8rcmTFl0Br+sKnluQgJ/ijAaeEyRMK6O1GHARmAaqluASP2iYZC2XDMV9+F5dJAkCfc9e2C+id4rfcDOvSHN2K22wEXVx/saVwfrlsKcT0FSZRswyvte7oR77LOB70UYCYRUs/Xmv9jwltJ2BabmZint6Jm8tSeFK++5kCodW+x57biGkQD1Ts65N3rPPQBbCOry/Z91DoWkHHA+7nGej8vEmgfcDrztNTE48LkPRiYCh+IavKSvI+ey88Z7985NF9wrmk7DPZbJOTwue5l4QU0mJAtxQbyxOZ6dKXAWxDPGGGOKh+MbNybpkEMyzxhZsWIFV155JYcccggA1157Lbfffju//vorbdu23Wd/ETj9dBJWrSrYunheNtxxwNnepqnAaBFprKorMuzeFZiu6t6AiMhzuCySZ7IYi+Vl3NLJx0XSCkWPwf2RDC6IN947VwlcgOYBXGBvrvfvAlU9oN7gHoxEqOTzMQq4rFK7ZuG3b4bzz08gYZ88Th9QkuXL4aWXqP700wwtlbJ9wKzkMxPOYnaFqB3HIPIok5gGjAbaAj/gvqdWAeuBv6L+3VbQjR0KST3g/aj7NXHvQQq9y6Uqy0ToD7wqwlxV3insORUkVVKBacA0EVrjGn08BzwkwrPAs6ocKIGfY4AmuA9u9ouIHAW8jQuMtBryZhGom+YCdxfgmph0xAVu5uK6q75NUP8uvMkVsJAk4JoG3YsLXp5JUNdGjZcFHgGux2UmXkdQNxfCTHOqJ7CUoC7L4XHZXU4L7kPcA7ZG6IHGltMaY0weEpFSIjLNWx74rYjMEpHGUePjReQ7EVnqLR/MckmeiEwQERWRSlHb2nrnXy4in4hI7TjHDvOOvThqm4jIKhHZ6t0fKiIvRo2f4h3TPmrbcyIyImfPhslLfj/N27TJesnXXXfdxbRp0/jrr79ITk7mmWeeoVGjRjRv3jzuMS1bQmoqcZey5pO6wF+qmgLgZUaswb3hz6ge6d/wr47aL7OxWNYC60WkLS6A+DWwJWr8K6CWiNTFZd8txL0h6uCNdwA+yfSR5ZFsvJ5UF5EPvaXEP4hIu6ix40VkgYgsEZGfReTOONdo5r0eRW6rRWRz1Hi2ljyLSF/vdeOWDNvnRV6/RORyEZkdNVbHG+sbtW2QiLy6X09YDohQJyGBhVWqEJwyBWZ/7PNddBExAnh7NWkCDz8My5fjb3dO6arnykcVXqRf9C6lgCG8w9fe/eMIajOCejNBfZKgvkZQ5xLUZQT134MkgAf7LqeN/HwW9nJaAFSZCIwDJojQoJCnU2hUWazKZbiv1/O4QMfvIkwQoWWhTi5vdMUFz/cr41xEOuC6eK4HTlAtxABeSMoTkiAheQu3VHYirqbZQKAmQT2DoD53kAXwjsBlyN8F3AaclSGA1xZYAgSBXkDPYhHAC0kJ3DLwnDS0iMhpEO8Ib5mxKeIsiGeMMXnvBeAIVW2BW9r3YtTYLaraXFVb4pb8vellA8UkIpcAyRm2+YBJwEBVbYLLcBiZyXy+If0nz2fgln5FRJYPRnTABTIybiuQwIWJze+nbLlyWe938sknU6pUKWrVqkXp0qV5/PHHefnllyldunTcY8qVg3CqlszD6RZ144B+3m1c9ICqJuHeCLT3bnNV9TegjlcXrz3uZ6agZPZ68hAuK/Bw4AogFFUP8AXgf6raCjgZuF1E9ilararfq2rLyA2YgXt9iYgseW6CW3I4IZO5LgEuj9zxAo7R33hzgBO9DEcopNcaESolJPBpgwY0WLKEQJcuOev0XKcOvD3dz933+LiaF3mNnul3eIud3MFZBHVJ3s68+BGhIlCR9AG7WN1qC9tNuO6tB019vHhU+UuVIbiv0w24jOklIswR4cL9qAtZVHQB3lLVcE4PFJHLgI9wS45PV9V/8npyWQpJBULSi5BMwwXuXgHK4Wo71iSoZxHUFwjqhgKfW2FyzSluwP3+8QPHet11w954AiEZhvu9vgZXGy9UjD5EORPXBCmnS2kh+zXxYG9w+4T9uI4pYBbEM8aYPKSqu1X1/ah6Kwtg7yf7qro1aveKmZ1LRA7FLQu8NcPQsUCKqkYCCc8DnaIL72fwOdBIRGp4968kfeBiAS7zqI53vz0w3PsXrwZYPQq+XpqJUjXl75L/bcv8b85wOMzpp59OjRo12LRpE7t372bs2LGcd955LF26NO5x//0HZf27BJFFiLTI46nHsxaoKSIBSKtXFK/Y/RpcdkhEg6j9MhuLZxpwDtAC+DjG+BxcMKkDLgsP3M9JN6A2LvCU77J6PcEVun7O23cRLigSWRasQCXv/2Vx9dcyzTrwXkN6AS959yNLniP1AacCdaOzATNYA/wjktao4Ur21h1CVdfgsliO9za1xwUGT/Sul4ALOOZrkNTnY0z58tSdN4+EOnWy3j8WERgxAm68QbnW/yKror8sKZTlT47Nk8kWf3W9f6N/JusDfxDUlBj7FwpVduJ+vpsCDxbydIoEVXap8iLQDJe1vBP32vmLCDeLUL4w55cTInIk7mubo6603sqFYbgyDE8CPVR1V97PMI6QVCQkfQjJO8AG3IcopXDB1RoE9WyCOpZgIQQVi4KQ1AI+AJ4CngBOJKg/RY0fgcuevAv3t/TZBHVdIcw0N3oCCwjq6v04NvuZeO57aAXW3KJYsCCeMcbkrwGQvsaOiDwkIr8BbwFdMvlUeCxwp6r+l2F7uuWD3vg2oFYm85gIXO4tyW2D+0Q5cnwS7o+cDiJSEjhMVd9nb+ZRB+BLqwFWSETKITLz8vC4tksWJmW665YtW1i5ciU333wzVapUIRAIcOGFF9KoUSM++ih+3eYlS6CZ/AguYDMXkUZ5+hhiUNUNwGJc0WlwWRLrYtTDA/fGq7OI1PCCff3Zu7Qks7F4196NK+R+c5yfvzm4T7/rq6bVoJkHDAHmez8zhSHt9UREqgIJkVqAntXsXap4BTBCRNYAy4G7M+wbyyXASlVd6t3PyZLniPHAlSJp3fReyzAeCZACnALMAjaIa1DSBtigul9vVrJFhPPCYS6dOJFAzZq5P9+jjwkNDk/gOv8LGYeSY+1/EIoE2DNm4hV6PbyMVPkZuA64VYTOhT2fokIVVWWWKucDR+F+Zh8C1onweDFZgtwFl732WXYP8P4eehlXX62/qt61P1l8ORaSSoTkMkLyLi5wNw4ogVveXIOgnktQXyKoGzM9z4EuJD1wNUcbAacQ1HsJer+bQ+IjJDfisvN8QGuC+lRadl5xEZLSwEXs31JayNlyWnAf1p+0n9cyBciCeMYYk09E5G6gMTA4eruqDlLVRrg3uI9ELS2LPvYqYI2q5tWyspdxy9x64Yr5ZvxDJrKkti2uBhi4rJ8TKfjlgya954Gz2vIVy1aWZH0mYZiqVaty1FFH8cwzz7Bt2zbC4TAzZszgxx9/5NhjYycGqcKns5Nom/J5ZFMlIGb9tHxwLXCtiCwHBuECTwCIyIsi0tnNUVcCQ3HLYVbg3ow9n9VYZlT1LVX9MM7wIqAye38WwAXxDqeQlpXHez3JxCBgsKrWwxV0fyDWctoM+uFl4eXCW7ji6hcDX2XIPgbvtUZE6gGbVXU77rltTwG81iQkcNdZZ5HasaO7P2jQIJo1a0aFChWoWbMml156KWvXrk13zJo1a7jgggsoX7481apV48YbbyQpyb1XLFUKHnq8BB+lnsX3NE07BPc9ZFzAbqvXDTV6W5Goh5eRKq/gAtETRNJl+BpcIxBVrsN1F34Q1xjoNxGmiHCySLruy0VJF2Ba5AOJrIhIZdyHnRcDF6hqlr9TciUklQlJX0IyAxe4exH3Pv1a4FCC2pGgjiOom/J1HsWBe64m4QJbbwCtCOqXUeO1gQ+BUbgu9CcS1J8LY6p5oCNuyfSb+3l8TpbTggviHe91EDdFmAXxjDEmH4jI7bislo6qujPWPqo6GyiPW6qSUQfgQq/I/Gpv23ci0ooMywdFpDxuaW7c+kKq+gcu82EoUcvbosRaPjgvapvVwysMLtDRA+BsZlIl8C/PPZf5Ie+88w4bN26kcePGVKpUibvuuounn36aM888M+b+c+fCz7+V4NL0CVMX5cX0s6Kqv6jqiaraRFWPU9Xvo8auUtXpUffHqmoj79ZPVZOzM5bheu1VdVqM7RNU9aKo+ymqWl5Ve0Zt+0VVRVUfimyTRCkhiZLoH+6fIolySG6ei8zEej1R1U1AStQyefCWEotINeBiVQ15+67EBeXjdiD2MuFOAEJRm3Oy5BnvWrtxy5ueJUO9Qc8c3IcD5+JeY6CAXmtEODw5mXa33rq3ppeIMGHCBDZu3MjPP/+MiNCpU6e0Y8LhMBdccAFVqlThjz/+4JtvvuHTTz/ljjvuSNvn3HOhyWFJvMA1kU33kM1gwUEg1vdLkQ3ieW7CNUA46OvjxaPKZlUewnXv7o37mn4OLBQhKEImLWIKiEg1RLp9IzLgMGgFTMneYdIQF8xoDJySyYc9uROSKoTkCkLyPvA3ro4puO7phxLU8wnqhGLRfKGghORM4HtcbecLCGp/gro9aryHN34YcDJBHZKWnVc89QTmEdT9rR+a00y8L3BBw6ZZ7WgKmXo50nazm93sZre8ueHqbnwDVM6wPQFoHHX/eFyNqsrZOKcClbz/+4DfgA7e/duBKXGOGwaM9P5/HHCN9/8GwNYMc9uOW3Z3pLetiXd/O27ZXqE/twfdDS5UlyynCno392vVikm6YYPmidRU1dNOSdaTAgs0+jph+KfQH3sRvzGMpgnDE74rMaJEavVHqycHhgc2M4yL8vw6cV5PvLEJwDDv/21whfkTcMW9N+MKsANUwwVNTszkOiOAiTG2zwX6ev/vCnwd5/i+uEwXcBmLtwPi3U97/fLu/+K9tpzr3S8LrPJea2rl29cM7ZuQoKl79mhcS5YsUUA3b96sqqpz587VQCCg//zzT9o+06ZN0zJlyuiuXbvStg0YoNo04ec9CsH8mn9xvIFOAn033fZJbNVJ9C/suWUx76NBd4A+VthzKQ43UAE9CfQN0FTQP0AHg1Yt8PlAGYWXFPZEfqeluttMhdqZPw7a4jLhlpDFvvt1m0RVnUQ/ncQHOolkncQencR0nUQfnbT3NdJu+zxvpXUSI3USqpOYqpOolmG8sk4i5I0/q5MoW+hzzv1jLq+T2KmTuDYX51imk7gvB/v7dRL/FfXXZ7upZeIZY0xe8ppDPI5bkjhHRJaKSKQIfgLwsoj8ICJLcUWSu6rqFu/Y4SLSP6trqKvJ0hsY5S1DvABX3yur475W1X0KN3ljybhP0curVwNMVZfjMgU/1ziZTSbfbY2+cwePUnbHBvr1TUHzoK/ak0/C/PnwZMpN6ba/QffSItwpQtXcX+XAIonil0S50ye+JS1qtDjqu/7f+ZbfuDzQu3nvSsDb/uH+VyVRKuXJtTJ/PQFXrPskEfkVF9DrrarJqpqKW67/qIh8C3yKC+Z/6Z23v4gMj7qODxeEi7WUNu6S53hU9VdVfUw17nfpHFymxOfe/jtwDS/Wqe53xkF2HNusGaklMsmtmjlzJvXr16dy5coALF26lIYNG1KtWrW0fdq0acPOnTtZvnx51Db4MeWIgKA5Kpx/EKhPdP27kMTqVlvkqPITrgbZbSJ0ymr/g533vvILVboDDXEZvXcBa0V4ToSjCnA6U3BNddJ+0n3udhYwD5GYfd5FpAvuQ4uvgXbqVjDkXkiqEZKrCMlHuNe5Z3CNhq4AqhPUzgT1VYL7lB4wACE5FvdB1hW4sjBd09UD3Jud1wE4n6BeR1B3FMZU81gn3Pdwbn6n5Gw5bVBTcWVErC5eERco7AkYY8yBRFXXQeyaMOqWwcVdzqaq92UyJhnufwk0z8Z8hsXZvpq9nSsj286Nsd8+pd8lUSoI8oRPfHVSNbWfDs2jP3RNOiJU85N8/nKaaENWCUAl/uXVlEvp8MFc7rhdefQxQfazAtFbb8Ggu8Ik6n0cH1W+K4zsHMvVb+GKeSeK8ANuqc8eXMZUGe/f0t6tFHCz6n7XbCk2JFEaB3yBiaraZkSHEb7zKp1Hv4v6ISKoqjw28DEeXPlgz217tp0liXKZDtWZOTy/AH194rsjrOGb1S25j/sVVtW/cV0jY43NhtgdUlX1uQz3w+ztIppx31/IRrc6VZ2ACyTGGsv4+tUf14AkeltBdMSrUrs2cWv9zJ49m8TERKZO3fueadu2bVSqVCndfpEA37Zte8u81agBquLDLUXKyfKlA109YHrU/VjdaoskVV4WoQPwsggtVYv+nIsCVX4H7hBhOC7oMgC4VoQPcR9ezlIlDz6GSk8EmclZHZtQr2OAFA7lbwKkZtytEXA/IrOAZaj+5pUJuA14BNft+2aNtxw+JOWBt3E/4xcQjPNBRUgOwdXT6wqcDqTgygxcDswgqNtiHmf2CkkA98HRUNwHPh0JavQHAmVwDVZuwgW6+h9gzT56ArNy+ZhyupwW3JLanlnuZQqVZeIZY4zJNkmUDgm+hJ8qlKxwee0Ktc8I+AI/S6IEveCDyQMiVBbhfmBVKoErXuSqlzSq02U7PuMV7cPIJ8P0ujTM5hxWy0lJgYcfhm5dlX6pY1MH8VD08AofevZsPfMyoDbuD+hjgfNxNdnOAU4FWuO6FDYAauCWXh/QJFEu8ov/hyZVmxz7zTXf+AafOpiah9ZkxowZfPbZZ7zwwgtMfWIqy25cFuh0RKdDgI8kUf6Xg/PXDPgC7wkyrnWN1kcAs3yJvtGSKGXz71EddFKT4+QUz5gxg65duzJx4kTOPXfv5xkVKlRg69at6fbdsmVL2lhEyt63/PtEDQ5WIgRwryPRwa9Y3WqLshtw2VOvF4k6b8WIKv+pMho4EuiMCyh8BPwgwtUilM7tNUSoIsJNCQl8nJDA5rOZ9V4DfqcOf1DOt5M2CUu5lcf5gWOiDxsAzABWhEXmtYNJuADeHcANmQTwKgIf4zK+zsP9Hower05IriUks3E1FUfhSgT0AQ4hqBcT1JAF8LIhJIfjOgkPwWV0npEhgHccLjvvcuAyoNsBFcALSWVc3dj97UobsT9BPFcPMpR/dX5N7lkQzxhjTJYkUUpLoowEPjmn8Tk1frnxl8BP1/8UuLr11eWASX7xT83Pwv4HAxEqiHAfrjbY9cD/gMP+p3dfLe5Nw4d4XYV7Edr2jF7//tSpbD38cFLGjoUdWSweSU2FDz6AVq1IuftuUsIqgx7hjuo+tA9wHa4zaBNU50PaG7BRuCUdmWVN7ABG5+axFxOSqqklZ1w6I9CiRgsAqlevnpalVbJkSfx+P9XKVGNKtym+WuVrpeAyFrM+caJ0D/gCy2qUq3HWnMvnsPDqhb6JF0+kXIly1yb4En6URLGlLXlj1Y8/ss8b9EmTJtGrVy8mT57MxRdfnG6sZcuWrFq1ik2b9jaF/PrrrylTpgxNmuyNXS9bBoEA24F/82/6xU5t3HuN36O21QO2FpdAhio7gG5AS+CBwp1N8aRKqirvqnI67nlciPudsVaE+0WoldNzilBehCd9PtaXLMmTXbrQ4eGHqTRzJixYAJ9+Cs+9VIKTrmvB27VvpBk/0N7/WXQHaQB80G4KXNoJrlfVx+OWAHBBlTm4Bhk+3AdrfQnJoYTkOkLyMS5w9ySuDEYvXODuEoL6GkH9L6eP8aAUEiEk1wJLcZn+xxLUJwhq2BsPEJIhuEDTeqCZtxQ5zzM7C9nFuL+7puXyPPsTxFvg/VsQ2fFmP0n8ciXGGGMMSKK0TfAlhEr4S9R/5rxn/C/e9CI///wzN954I8OGDWPWb7O4bNplKRt3btyWEk65UofqO4U95+JEhHLAjbgsgADwBDBSNUYwQKQirk7hP6juEaGyz8dDQL9SpeCSS/Afdxw0bQrly8OePfDrr7BkCUydSvJff5GQkMDc5GSuU2VZDuZ4HTAmxpACL6rubct5oJJEKRXwBTY+cuYjZW85MX0JypSUFC644AJuueUWzjnnHJb8tYTWL7QGOEmHujp0cc5Z1S/+Mama2v3q1lfrA+0ekIvOu4iEhAS2b9/OFddfwTsJ76TOXjnbp+ijwH06VG2p5n4S4Xxgxt9/Q/Xqbtvo0aMZMmQI06dP59RTT93nmHA4TMuWLWndujVPP/00W7ZsoXPnzrRr146nnnoqbb+ePdGpU/kkOZnYbaAPQiKciqvHWEcVV3YhJA8C5xHUFoU5t5wS4Qpct+ULVHmvsOdT3IlQA7ek/npcaY/JuN9738TY+QRcPbsA8EUJ9iSRUOK10qWpev/9BC6/HKKSYvcRDsMnn8A9dyazeKlwr45gCCPwpf9s6llUr495gpBUwwXwjiR9KapUXLmDPcB7wJvA++m6pZrsC0lN4EVcBtojwDCCUb/vQtIEeAUXCB4MjEoL7h1oQjIT2EFQL85y38zPkwr0Jqiv5fC4ZcDbBHVwrq5v8k9hd9awm93sZje7Fd0bw+gnwyTcfkL7lN+3/q6qqmvWrNHx48fr0KFDNWLLri162duXhRmGMoyHMj2nq6E2Dded8ltgFum79gquq+5yXLHiOXHOcxhuOcVS4AfcH9CVvbEGuD+wl0bdGsU5zxDgR9ynj/Wjtk8ATs635xYtA3ob6AbQ7aAPgFbZz3MdAnprQoJ+Ggjov1GNZtXn0z0lS+pi0EdAj8zFfB/3mvxlaGSrCvoZaHfQAuliDMwEvvO+rp8BrbLzvRXjPHcBP3nnWQAc720vC3zlneNbXBZkAxkmE1o91ypJo4wdO1YrVKigderU0W+++UZVVe+YeYf6TvFtI5NOpQyjcWB44J9DHjkk+f3l76uqajgc1qQkd/qtW7dqnTp1NBwO6/NfP6+l7i+VEhge+IlhlCmI5/hAvIFW9Pt112OP7f36ARoIBLRs2bLpbp9++mnaPqtXr9bzzjtPy5Ytq1WqVNEbbrhBd+/enTa+ebNqyZKaAjqwsB9jUbqB9gJNBvWnbXcdJKcX9tz247EI6Mugm0DrFvZ8DpQbaCnQK0C/836XfAp6CahfobbCguhfOG9zoSb4kvXCzuHUv//WHElJUR05UjXgT9XLZYKm4NOoc2+MOcdJHOp1+Ez2Op9mvD1+QHRCLezbJLroJDbqJH7TSRn+7pqE6CSu00ns0Eks0Uk0LfT55u9zUV0nkaqT6JHL8wS879FL9uPYcTqJuYX+XNgt7s2W0xpjjMnMdkXltS6v+etVrAdA3br71r+vVKoS4zqPk0qlKqUAu7Jx3heAI1S1BfAO7tPXiJtxTTuaqmoz4NI45/gTOEVVW6pqU+/+sKjx/7yxyO23jCcQkQq4Tr/NcZlmN3nbzwJ2qre0NC+JUEqEm4DfgBG4YOFhqtyjSg4r3Dmq/KPKE0lJtEtJoRJwKC7IWSccpuzu3bRW5U7NQfZdDHcA70LacsQU4DHgTGAzrnbLKhHuESG/l1Z3V9XmqtoSl7k4IWoss++tNCLSEpcFcrx3ntHsXRa8CzhTVVt45/kIGKXoa0vWL0lYsXkF4D4IveWWW7jtttuYNGkS//vf/whrmPEzx6eEV4TXq2ook8ewXlUr3HfafYGOh3eMzImEBFd2a/v27TRv3hwR4Zpjr+Gy5pf5feLz61DdmdMnyziq/JuaytgnniB59+7INiU5OZnt27enu0Vn5dWvX5/33nuP7du3s2nTJkaPHk3JkiXTxp97DlJS2IPL1DJ71QfWqqarE1iP4lMPL40qiquPtwGrj5dnVNmtynigBXAGbinqFD8pKzZwyNdA28i+X3Ms3eVNrujn4623xRfJps0uvx8GDIB3pvt4zd+bIYyIHq6KyCRESqVtCUkr3AeETYjdDDIVOPoA6YRaOEJSkZC8guso/DbQkmDU310uO+893O/mUUBbgvpDYUy1AHXFdZSdkcvzRH5J7U/2/pdAG0Jir3NFlAXxjDHGZGaGX/y7p/6UdYf7uavnsnX31gBZFOJV1d2q+r6qRtayLMBlzkXcAQxS1SRv//VxzrNHVXcBiIgflz2V0xoRqYAfSPCOTxKRMrjsvEE5PFemRCghQn/gV+BR3PKhhl5w7Z+8uo73Id0GVVar8ofqvjXA9vO8YSCIy45UXH2+J1T5WJULcV3/XgNuB9aJMEEkdnfU3M9Ft0bdrejNJzvfW+lOw96vO7glXeu884RVXQ0jr3NhBW//TwK+wNbJP0wG4L333mPHjh189NFH3HjjjXz11VfM/30+G9/aGKAVN2f6GIbqdmD65B8np/v6/Pvvv7Rr147mzZun1WdLCafwxk9vpCSlJr2S+TNjsuHxv/8meXAeLRL68UcYNoxwaiqPqFIs6rwVoFgBu2IZxANQZTuuPl4rSB8BMrnj/d76RJXOwBEDGbmsOv/UiIzvoAy9Am9w6qnCs8/58OXiHex558FTo/08xCDm0S56KEhpXiEkAwjJZ7hM/2q41QEKJJG+cY0fONsLNJmcCkl7XEb9OcCFBPXqdLUDQ9IVF0Q9AmhHUO8m6P4uPMD1BKbnQXA4EpDevR/HfgmUwX3AbYogC+IZY4yJS4fqDkWnTfxuYpaBoNAPIS3hL/GDDtVfcniZAbiMqUhm3KHAhSLylXfrEe9AESkhIkuBjcDhwNCo4bIiskhEFovIfV6gLx1V3YHL5FoAXIj7pHc48Lhq3hReFyEgwpXAL8BTuGy2xqoMVCVmgLIoEZFSIjJNRJaDfAml/4MffgQSVVkvInNFZBXI2yBnQYWHcBmNxwJfi/CFCD1FqrcSkU9FZJmI/CAi40SkdNR12orItyKyXEQ+EZHaceYzTERUROaIyFrcm+k+IrJKRLZ6+wwVkRfxvrdE5BTvmPZRp7oOt5R2lYisA27x5h19rdm44tndgBt0qCanhFNee/nbl5MX/7WYWsfW4pGxj7Bp2yYSyiYwctJIbnvgNvyN/Btpy0dZPbepmhqav2Z+4I9tf6Rtq1ixIp9++inLli1jxIgR/Pvvv3y88uNIgHxyVuc0mVPl99RUrhs5Eibn8tnctAm6dCFFlSW4RjQmvfQBO5fVUZv0jS6KFVV+wL1O3CXCeYU9nwORKr8+xh3pMuef5ib+KlGPlycFchXAi7jmGjjvXGVAYEz6T/720I1/eAD3fXsJ0AyXbd4P9zP+MjAXWI0L6iWRzQZGxhOSUoTkceATYAmuOcX0qPFKhORVXImUqWTMzjuQhaQOcCq570oLucvE+wnYhjW3KLIsiGeMMSZTYQ2HFvyxILDm3/jJE3tS9vDGj2+k5jRTSETuBhrjihSDW7ISAEqralugB/CkiMQsgq6qSd5SyEOBZcC13tBfQG1VbYP7A/xU4LY45xjjLbc9F6jj3T4UkWdE5E0RyTSjKv5jwy9Cb+Bn3BLP2cDhqlyv6jK+ipGoJaq734Rmm1TTBS1u2btsedvDqryA+wT3dFwQbBLM+xCmfQ96Gm7pVFlcTTpExOf2YaCqNgHeB0ZmMp9vgO2qWhe4F7dkdmPU+Bxcd7fI91YHXI279lH7nA3UxNXMq4PrKpgurKOqZ3r7TAbu8Ta//uvmXxOOfeFYjn3hWO5Ydwe/dP2Fxecupuu0riz6ZBGpbVNHM4wHRGSyiGTW0fIDv8+/Y/KP7rJJSUlEkgjLli1LyZIlKVWqVCRAvlSH6opMzmWy71URngoG0eefdwWxcmr1ajj5ZFJWrmRDcjJdVEnO81kWf/VJH7CrhXvvUSwz8aKMAyYCr4hQp7Anc4BKyx5KIoGnA7dwdf8Adbxne9CgQTRr1owKFSpQs2ZNLr30UtauXZt28PLly+nevTt16tShfPnyNGnShEcffTTt9VUEhg73823KMcyN/rUQBgZxE0HtRVCnEdQfCOrHBHU8QU0kqP0IageCehgu0+kQgva6nG1uifLXwNW4wOjFBHVD1PjpuOy8s4HOBPWag6yzb3dch/MP8+Bc+x/Ecw1DFmBBvCLLgnjGGBNFRJ4SkdVe1k7LqO1p2UhettAsEWkc5xzniMjSqNufIrI4ajynGUcXR22TOBlHkfF9Mo5E5DkRyc3Sn48CvsD2yBLCyy+/nEcffZRXXnmFM890jRhn/jaT7Unbc5QpJCK34z7p7qjq6nyp6mZgO+4NEqq6GpgPtMnsXN7S2/FAH+/+HlX3h6F3znG4QF5m8wngarwNxNXJ+0dVuwEXi0jD7D8ufCJ0xy0DeRn4AjhClatVi18GSg6XqEYdh6oyR5VLgIZw1AS4sCewBnQCHLs+6jzHAimqOse7/zzQSaLrE6X3OdBIRGqo6sve8dHfeyfilsf287632uMyLNsDiEhNoC6wQFX/9I4ZD5wsIiUyPP4wMBbve8u79uH73N4lyGhAGcAovgZqqWoPoI6IdIj5HA3V3anh1DcnfjcxGeCXX37htNNOo3379pxxxhkMHz4c9StTf5oatqW0ecf73hwYDnN///5w7rmkrlyZvWOTk+GJJ+DII0lduZIVycmcWBx/rvObCMK+S2fref8W6yCeVx/vOtwHB6+LxKyXZnInLRPpM07lz5RDuT6qd6yIMGHCBDZu3MjPP/+MiNCpU6e08S1btnDqqaeyYMECtm3bxuTJkxk5ciSjRo1K26dNG2jTMplJ9Ep/5d1kL2gUVLVOtNkUEj8hGYz7MG0z0MILjKo3XoqQPAF8jPuQrilBfbfQ5lt4euK6wuZFF/rcLKcFt6T2pDyYh8kH9kvHGGPSm4Jrbf95jLEXgA9UVUXkRlz2T/uMO6nqR7B3KZ2IzMBlBkVnHF2tqnO8QNZI3HK9WL4BrsQV/AVX+HkjUNm7P4f0xdSjM47mRm3rH+f8WdKhmuRL9E0et3Tc5a1qtgr0GdqHPmnxDJi9cjbPfv2sJvgSFiYNScrWmzMRuRXXsOLMDPXNwNVVOxcYIyJVgONxNeQynqM+LtC203teu+E+wUVEqgNbVDVZRErigoVLspjWbUBIVdeLSHR9PSUby2W8N60XAYlAU9ybkItz2UyiKEpb/hzlIS9Q/BMwWFXThUS8IMddIiQCQdg2ALY3hQnLRegFZVNgx+9799f/RGQbLnMnY3ilFO7rMRG43FsKq8BbwL3e91Z3XNfaY0XkN+AwVX3fC9KXwv1MLANOEJFyqroduABYrqpJIlID2KOqW7xr9sD73tKhGgb2ybyQYXIssJFVNMcttYp8/4SBcvGeTEVfX7J+Sd83fnyDKmWrcN+E+9KNj1owih3JO3zAG/HOYXLOC8TcJ8LsOXN46fDG2rjjOan06Rvg+OOhQQOXrQOwbRt89x3MmAEvvkjKli1IOMwDwIOq+/0G6UBXCfd9H/07oT6uIU6RLyOQFVW2i9ANWIhb0p9HVRYNAKpfIxICggs5ntqHJNGo0d7PVx588MG0/5coUYI777yTVq1asWXLFipXrkzbtm1p2zatJwatWrWiW7duzJkzh4EDB6Ztb3dGAjN/OsUtinXyKgvKRISkIfAK7m+5e4HHCWpq1Hgr3O/zusAVwMtpwb2DSUga4T6wHpJHZ8zNclpwQbyhhKQGwdi1qU3hsSCeMcZEUdVPwX3Km2H7btwSv4gFuAL+mRKRWrjA25XeplgZR/eLSCnvGhl9DpztZRyt984zDoj8BbsAqCUidVR1HXszju70rl8Tl/3wZVZzzYyiry3buKzfWa+eFW8XAV7NzrlEpA7wOC44M8d7rvd4y2fBvRkaLyKRz90fVtWF3rHDgT9V9Tnccs0HvON9wGJIayZwCjBcRFJxv+s+AeIuaxSRRrjnLlLjaCLwtoh0A+ar6vfxj0W844YDrXHBpKBXO+mAErX8+YyozX1Uda24L8QNuI5qR8c6XpWdIvIKcBEc8QtcDvAyjP0PRmwSoaYqf2UxjZJAJ2ALrgPvancOwrjvw8j3Vi1cgHww7o02wE5cXaNyuKBYGeBrEdkD7MA17gD3M/O8uDqKgusk3DuT56Wy99j/B9zvXfMqEfkOWEXmbwo/9ot/U48pParG2yHgC8xPHpL8R7xxs/9U+VSEY0Zz4zfTZnVpeumH7VF8lCudQsVyqSSnCBu2uOBB1YR/d25KrvgE8JIqqwt14kVffe/fjJl4a9O9gS/GVPne6zQ+VoR5qhb8yWOXAysW0/quVm38JTPbcebMmdSvX5/KlSvHHE9JSWHOnDlpzYIiWreGJ5MOJxUffsIA96GWXZcnQiK4JbMjcb+T2xDUb6PGA7i/VYfh/pY9n6CuLuhpFiE9cB/Sf5JH58ttEO8r3IeRJ7I3kcAUERbEM8aY/RMrGymWvsD7kaWduDcx2c04iohkHD2P+5TuXrwgnpc19AXQQUTeIHbG0ZdxAoQ5MQeoEnPkSe5iD9dTjqnp2krE4QUbJZPxTUDnOGP3Rf3/XVyTiFj7vYULpmWLqv4GdIy6vxk4LbNjvODdmbgsjLbeXK7yitwXWyJyGXCrd3eUqo73tkeWP58ZWf4MoKprvX8VGC0ij4lIVe/rmPHcCbhlr3/BL9eooiLUhcBwSOkD/C7Cm/DNS7ius39mPAcuU+J1VR0oIh/gAuMP7Z2Oinetk3A/O5OBv73xp3Gf9ncC+qrqfGJk0HhB41bZe8bAy9hrJyIVcUG8nqoa83t4n2OHaookymFAgKe4hl0MYiANiXrLmhJOyYulNSYOVZKQMb/ekDqm6X+U4zua8+OuY9i+qxwBUqjHGlqylHrJa0b5NJxXWRIHulhLZ4ttZ9pMvIT7PfuqCK2KYb3Toks1BRg6zR9u1a2ir1O83WbPnk1iYiJTp06Ncxqlf//+JCcnc9tt6Uvjli8PYfzsptRvZdk5AleeweRWSA7FlaG4AFemZEi6JaIu6+xV3O/ve4AnDpTgfi5cCkwhqHlVXzV3QbygbiUkP2FBvCLJgnjGGJNDcbKRYu0nuMy5/WqMEOVlYBauVtwbuIyjaHNwWWS/szfjKFKQtr03niveEsItscZkmDwA9GU3g3HBzQOeSFrG46m4pdNtVdOe+2JNVV/BLX1JE2/5s1dHsKqq/u3d7wL8HSeAF8AtMd4MXBOpsafKWpHu/UBOgwffhMFnwZyP4Zwt8GE3Ed5QjftH6BCgtaquEJEGGcYWAdWBXuwNCs/DZQrWhBhfL9c9swf/Z++8w6MqujD+e1MgUgUUpKNiRboICiqo2NunKLgqoqjYsHdRxK6oWLFgQYW1N8SOICqgItVCsSGoIIL0mnK+P+Zu2Cy7aSTZBOb3PPskOzN37myyu/fe957zHviCkBVZbDCzFZJeBi6Q9FiUj2D+2w10xt26VXsBU+wui/tZ85QqLwH/q85qOjORzkyM7TcKGW3sAZxgt9SMNTFtW5WIF9yIuABn1v+yRDczCqzm7ik8WTkpa1atwohz82/06NGcccYZjBgxgiOPPHKzbbOzszn33HP57rvvGDt2LNWrV8/Tv3o1gNkxvL/H59a1VEQkSfNwQsq6oOluM3s16HsEd3xqCrQ1s+kFzCWcb1w7M9s+aGuGixaPzhg4Obg5Gbv9zTjftVVATzP7I2gfDgwLbmxtGWGdiBPw1gBdCbkMl6BPwLm4QlKR6LyZW7zPik5Y++BsWC4pwVm31BMPvC9eucUXtvB4PNssknpHFZ84u5DbbFaMIR8Oxh1EP45qm8+mNCMkVSdxxBEAZvYXTqAbiDPfj2UcLhKgG5t88MZHtcUPzQ/rZF7JGE5YVQp4HfliZqtwPnAXBmmpWy0SB0h8hvubZwJdzDhyaxHw4hGV/rw9Lv15uqRvgu7KwPuSvpc0A7iIqChKSbdJivgx9sR9dvYFpgXzPA6R4hF2Otx4FKga3D0dHvwK936fL3G7xGYFYMzsOzN7Ot66zSwTl45e3cxmB21zgerAV0F/LJcDL6H0l4KLjeLwBC6dON9CKgloj0sL95Q975LXMiGWhzGbVVaL2QqIJ9jFVqvdKjBjFc6TdV/csdBTsvz43XebC6MjR47k9NNP59VXX90sTRZgw4YN9OjRgx9//JHx48ez0047bTZm+nSoXFm/lpaAF0XPTRXcLboI0xs4+4/Cfi6uwAl2sayKmr9NAgGvBs4WohUwFOgftHcH1m6xgBdWDcJ6Dhe1NRpoFSPg7QSMwtnIPI4X8KLpibsOiOfHXVy2NJ0WXGG2fQnnLfjlST4+Es/j8WyzxIs4yo8CijHEoy8w3CxPisAUIF1St8AXrx/wXiHSXUs64qguSnuenA3Vgb9w6QxbwjM4AeRO3F3erQqJDrjIuyNxJ1ndzHIF062a/NKfzWwN7sI10bbR6c8jcUVdEo2dhLu4yEWiEa4oSz/geok3wR4hjsdjUMl4+5i2zUIzzKx+3AWE1QSl3k6jE2HBWwfh/PESrjef1zFF0nfBur8oaHwESVVw4t8dRd2npwQwy0E6EZdefT7kisazcQLek8laWgUlr2DnRPGtLhIvghkzJS4DnpL4wizPzbuE5BeJlV8EV8wcXYEPgTlRzfub2br8+uLM8xQu6uZf4H9BZLFw4vYl8YShMuLbRYtInzfPFZwBeOyxx7j55psZPXo0Bx64+f2S1atXc8IJJ5CVlcVnn322WQRehHHjyNqwgS9Lb+n5k8iHOR6SWuCKZ51N4mJo+ZENpALpuOJQG4Pjzs24tNfiE9ZBuKyRasBJhOztmP7/4YrDrSY2Om9bx3039gJeK+GU4pIQ8SYF87Qh3rWEJ2n4SDyPx+OJQtJTQbXLRsDHkn4J2vOLRoqNOCLwxjqJvJVjg4gjzgAeljQXd+J0RUHrKvmIo5T7qVwng1Z3ACnXEdZeBa2hgPVl4i5+e0rqsCVzlSck2kiMwp281AaOAA7aVgS8ZGPGn2YMwF38n4tLY58AfCfRR8pNFyk2kr6UtOTC5/UpVZqkcMAIaH6e3fVuytPpafpG0leSWhU8Ux6eAHoEVZILS2vcedmUIu7LU1KYZWJ2G4+wH0OASzgFs728gFcsYgW77dm8Wu3WxjBcdfUR8SKHE1BQJFaiCK5Y5sREYq0rZB8AkvYBdjOzlriI/kgJ+nOBcUkU8ADGp6ez9IknNjX079+f1atXc9RRR1GtWrXcx5dfOj3uzTffZOzYsXz77bfUr18/t79Fixa5c0yfDpMnE7F5KG1elLRR0vIgcn26pJ5R/fWA14L2LyXl8WQN/GSH4W4OXQdUlzRb0rMEopykHyStkvRv8PtzkraLzBHcdHsQZ7dyEXAyrvDS22a2MtjPbZJCFJawKhPWfbj3zA/APnkEvLBqEtZwnEfxe0BrL+BtRjvcuU1Jvw8zgExCFmvBUxTm4qx0fEptOcOLeB6PxxOFmfUzs0ZmlmZm9cysedD+p5nJzHaNOhHuGLXdLRZ1oWdmK8ysqpltVqzCzCaZWSsz293MukYKA8QZd6uZXR6nfV7ECyWq7cjYCCMzqx8vEomwDjbLObP/qLbpnc4dRYdbK6fc+lbK+1uQPhjhbdxdu/tUmNvK5RiJFhJvANNwgu5xQCczPjGjUD5nnpLDjPVmvIAr7HIA7sRyGLBA4s4gYq+4hE7pyIh6NWx3Oj6dTmoGc6ucqw9npmy37nmm4C5iHy/inK/iKuEWKk0/oB2uaEcyL5Y9AHXYnrrA/nmilzxFI1bEi9hIbHXptBGCY0M/3EVvWCo448nMvgiinZNNJlBZUgqborTq47IPHkzmwszYkJnJw0OHkrVwYaTNyMzMZPXq1Xkekai8s846CzNj3bp1efp//PHHyJwMHEhOpUrMxXkOlyYHmVkrXLrk28CCOKLsv8CpZtYG9/ceHjPHQJwQ1hnnnbYK2AvnkXwyLnL4f7gCXdNx/p1VcYJfLmY2NNhHNZxn8w/AgZIel/QxcKKZhQv1qsJqhcsEuQgXvXw8Ifsnqv9gYAZwDPA/QnYOIScWevLQC5hHyUe6VWbLovAIBMCIx7anHOFFPI/H49mWCKsSKenDpq/ZP/v7eev4+utvmPTFGI38KmfnX//hvC2ZOjDxvwZXTOOo/EeXTyT2kAjjDKL3wEVTtjdjtBfvko8ZZsYkM07DiQJDcSLbPInXJA4MqgYXfs6R/HfoPilnWc0Wxk6HATBuwlSOP/FkpaVygY2kBlBbUuX8Z4pep63BpRb1Cy6KC0N7YFphi2F4SpU6wc/NCrR4CkaiEs7KIVqwi1SrjXvTamsh8Mc7FVex/NYSmPLFIHLrWUk75jNuV0lTJU2WdFER+oJ12xyc1+tUYBdcZe8hwDXmqsQmm4c3bGDhWWeRnbMlcUUBL7wAo0aRsnEjl5T2sd0sT5GkkcT3S41+VTVhszUdjPOwewBoAdTARdFNAEJmttjMfjazr3AZIF1wAluzBMvKxlV1fxZoACzB2WaslrRLvi8orFTCuiaYfxUuuu4ZQsGxy0XnDca9n2biovPeyXfObZWwUnB+eK/k/v1Kji0X8RwT8SJeucOLeB6Px7NtcRVo18aHP5JaqVIlNm7cyJrtWlC5ai0a1E69h7Bqb8nkgTHyO7hovNQSWXEZILGrxAvAT0BbXPRBazPe9uJd+cSMv80YiBMH+uAuVr4ApkmcI7FdPptHc3Ol9LQaqn9krvi3dOlSau1yKOx4YDYp6c8IluPSqYvCU8DOwOGFHN8en0pbXoiIeP8ldRUVl0Y4QSBavGgCLCVka+JvsvVgxnRcpfYbpUJ//uMRieBqhxNZXkgwbirQyMza4aKxLpB0aiH6YtZtA4IIsVOA7jjBdZ6k5yW9GZP+WaaYsTIzk55jxqCrrnKRdMVl7Fjo149sYIhZ6UbhSaoqafuopheBlASi7O2SFgC3symdGQAzO9DMmuLeV78BK4HdcD69OwfptgQ3m07CRdidiyvYE4+JuM9kP2AMztv2fVwl06oJX1BYzXDi3J04kfogQlGp1mG1xol7F+Ki807IE53niWV/oDEuDb+kyWDLKtNGmAQ0JqwtyXjwlDBexPN4PJ5thbB2Rqm3ss8tKXWatme33XajefPm7L777lx02Y1sV7VmddA9JbCnG4A9gbNKYK5SRaKpxDCcef0BuDXvY8arZpTA/X5PaWPGBjNGmLEf0Al38fIkLtX2Hik3AmhzwtoHdLWanppCerXc5jp16rBs+XLY76k0LKfFDtXZhSIKOmb2E67AzIUFjQ18i1rgRbzyQm1gLaECCw554hP5zMWm0261qbRxeBp4DeeP16A4E0QiuALP2YdIUPHazFaa2Yrg9z9xgsCBBfUlIqhiejUuhfNy3PdYT+CWaI+1siaIwj7j4YfJOf20HJYtK/L2DBsGRxxBTnY2bwPXlspC81IP56M8EyeoTMb5ny4BXojxYd4PFzk1ALhX0jOSjo+Zbzju/1Et+Dk3aJ8WVIifCiwO9vGJWUyBCUDSrsCOQDMzOxjnxXYAcB7Ou3KApDvzbBSWCOtsXGRdHaAjIbs7txCDi867jkTReZ5E9AJm4bI/SpqSisT7Fhcp6qPxyhFexPN4PJ5tgbCE0h6n6s5ir6v55JNP+OOPP/jtt9/4/fffee7FV5i/0y1pYOcR1hYdqIPiGs8AtwWVz8odEg0lHgd+xkUc9AP2CsSgkqwO5ilDzPjGjDNwIsKjOFH2d4k3JbrmSbUNKwWlD6NWG6NutzzzdO3alffffx+rsSc/Vz0/pflO1LWR7FCMJT0JHCupcQHjWuGqBnoRr3xQBx+FtyU0xV08Lo5q22or08YjiOA+H+dzWSh/vGjiRHCdhvNojTe2fiRtX1J1XMGsaQX15cM9wG1mthYXlWXBIx2oVJTXUdKY8XJXG3vOZ28uY8/mmTz7LKzbrEzHZtswcSIceCBZ/fphWVncn51NLzNKPU3YzH4zs7aBD/KeZnaCmf1CIMrG82E2sxeAbsB1ZjYqZj4zs8uD8Qfgsgemm9k+ZtYaV0W0AfAXLmov3pp+NbOjoqwbbgMOCsbPNLOeQCNJ7sAYVl2cl99zOC/a9oRs03sorJ1xhS1uB24hNjrPE5+w0nCp96WRSgslJeKFbBXu5qgX8coRXsTzeDyebYMTsayj2POKdFb/Cmv+oFbVFNLWzGW7jb+TkZ7DqtRmZFffmxXr01+dcqeKdMERh1txd3TjnkSWJhInS7wvUS9O304SQ3DFA04ALgV2N+O5sjih95QNZiwyYxBOTDgTd1EzDpghcZ5EFaAlltmp990zU+8beL69+MTtHNqykvHmjpl7/NAl84iGk7M771mJPtc+zdA+pKxYy7nFWMrbOF+1xH6T7kp9P1z0wi/F2Ien5KmN98PbEpoAC2KimbcpEQ9cCijuIn1/nLixGTGRWB9LinwH5EZwSfoe54nWO2q76Citk4Hvg0isr3GFGp4vRF+89XQGtjOzSJrp48DFuEihlyJRfclkLIfWmJ3VnBP/e54Lzsui/o6Z9D3HePJJmDABvv8epkyBV1+F66+HPfYgs3Nn+PZbvjdjPzOuK+ubdfmJspK2l9QgauyJuO+fzW4kSMqQVCv4fQfgeuC+4Hmk0u5/wPmF8VcNUqRnmdn3bBJswUVeVSOs43D/+3bAIYTsqtwIZReddw4uOq8WsB8huyc3Os9TEAcDdXGFsEqDkorEA++LV+6Q90/2eDyebYCX027HsgdEnubkwPnPwqy/IDMbDmkB9/RyfWs3ptL8iuxJC5dzhZl9U9xdSroVuALY1WApZXDAkdgNVw1tO+A5M/oG7TvgUmcuwXnJ3AU8bVYifiGeCoBEB5wxeE9gjZTzzA/37rN074az8j3J/WA6Lcf9RM8Xv+S/xSvpbWafF22/uvsgOPdTGFLJXRh9jtnXSK1x78mTgIyFsKE+3A3cj239vmHlmrCeBnYlZIcmeykVkcCiYBczNv39wvobuJ+QJbXSaTKQuBAnhh1uxphkr6fCI10KPAywiHq8SG9GpZ3MDGvJ6uwqUcPIqVSJXzds4DNcFNl3yfK4DYpFvImLuBbO1+4yM5snqSnwOu68JQdXqfZqM5sebPsMMMrMRkmqh4t6y8EF4zxsZk8G407HFSSZySYxboKZXZxgTbVwnnmHm9l6SZWAN4Bm6aksWPEMC7erRF9cpdtLCdny3I1ddN7TwPG4Aig3efuBIhJWJKqxXSnNPwToRMi2XHwLqzcuCrOm/z+XD7yI5/F4PNsCYW2HqzhXIOcOo/mzn3M1rrrZa8CNZkVPjZBUvS/8eT2sbe6iCrJxBsoPYfZxUecreH9Uxvmx7AWk4U5iDwEOw0UErselCT1hxtqS3r+nYhBEaJ6H86rbCRiFS70dl+gCL7hwGoZLRRsC3GRWiBNZaZf1MCrD+d1FMwcXJZgRZ6vvgEMxW1m4V+QpccJ6AzBCdkqyl1IRkfgE+NOMcwBXrdJ9/55CyN5I5tqSQZDG/wqucnsbMxYmd0UVHKk57js0T0ZZDuJPGrGGqvxH7ee7MOFiMwpItvVsRlidcQU4tgf6bfaZDet4nGXKeuAsQjaurJdY4QmrErAIuIeQ3VdK+xgK7E3IupbAXLvh/Bc7E7KJWzyfZ4vZ0nQpj8fj8VQEQrYO+LEwQ58J8eOz0ijcHdZ7gVmShgJ3mNmSwu7S4AGgRvAAd8w5EjgS6QrMHirCKygM9wN74+50B0tgDJsi7x41Y3UJ79NTwTDjH+AOiXtxUXD9gc+AHyUeBUaYsSbvNvaPpBOAs3ERIEdKOsMsyhcoFmcAPzbDiXWx7JHPEvfFmcnfVvhX5Slh6uBEAk/xaIJLv4rQMPi5TaXTRjDDJM7DFR0YKdHde69uAWa/IL2A+z7OJQWjCQvApZPe6gW8IuKEpUG4CPGPgb6EbGFUf3XcTay+OJHvUkLJT6+uoHTHpSC/Vor7KMl02l9wxVj2J+93uydJeE88j8fj8WxGYJ78LtASF8V2GvCLpOsKVZ1OOow4PmAbSWcGrRjOWfc31F/3SQyUuFLiiHgedoVF4n+4VNnUqOaU4PnVZtxdUQW8wAPnHUlzJc2Q9KlcJEKkv4OkCUHfdEmH5DPXG5L+lmQx/jxIOkvS98Ec0yQdnWCOoyX9EDyOiGo/R9KNJfCSywQzMoMqxF2A9rgozoeBPyUekPJGrgafiedwRSiWAN9KuinwIYpHb2IEvPVUZgrteJZzuIObGMQtPMRlfMYhLKV29NDEHnqesqA2vrBFsQiizmL97yKfg21SxIM8/nidgZuTvJytgX7Ao6RuVkV+OtCNoLKvp5CEtQ/wDc4n+GLgmBgBrwvOquREoAchO8sLeFtEL2ASIZtXivvIgBKyjHGFNybhffHKDT6d1uPxeDwFElS1uwa4Cme4PAAYYWaxJ9CRDV7FXbAA8D378BT9GJl2FsuzqlMpLZuGDSxbaWlZy5eT8t9/pAOkp/NNZiZPAS8X1q9OohnOeLlanG7DVUjcNTa6qqIgKQOXFvyhmZmkS4AeZtZVkoAFQB8zGyNpd1z04R5mtlkUgpy4OhP4B6hl5jxuJNUG5gG7m9kiSV2At8ysbpw5vsNFsBGM2TdIN30F6G5mFbZAiMSObEq1bQiMxqXajolOtZWUivN7vBMXXdPbzH5GaoWLUmiBS+tuADCZfXmafrySGmJ1dhW2q5xNo3qZpKbC0mUp/LvcFXw8JHU8fbOfogdvbKhkG+Ol2nrKgrD+BIYQsgeSvZSKRvAZWgx0z/V/C+ss4CmgCqEEx4xtBImLgMdwf5/Pkr2eCk1YlVnNv4ziLd5nPDATM1/huyiElYKL/L4LJ4CeSch+juqvzKbovA+Bc/OIe56i4+xtFuN8BB8pxf28AeQQslMLHFu4+W7AZS40LKVqup4i4CPxPB6Px1MgZrbKzG4BdsOlWTwPTJXUPXeQtCPStUjjcGmzrKAGF/M4rZnBJ83O5/o7qjNzJqxem8pvf6Sl/vorlZcuJf2ff2DUKDjhBDqkpvJMejqzJA5FqoHUB2kAUl+Cqmybdkk14AviC3jgDKTr4U5SKyRmtt7MPoiqNPc10Cz4vQ6wo5mNCcbOBZYDRyWYa4yZLY7TlYL7W1UPnm8P/JlgSZlAFVwlu41B2xDguoos4AGY8a8ZdwE740To7YFPcKm2FwXvN8ws28zux0XwbQdMf18ajYtUuBQ4FGjwLztwll5gPybz9R69uf3+Kvz0E6xcncrcPzKY9VsGi5dVYuFCePNNqHZkZ3qnjGCftDkm+TveSaQOPhKvuDQJfv4R07ZgWxfwAp7AFTgYKbFTshdTwTmcalQnxM2YPe8FvCISVlOclcS9wB1AlxgBLxKd1x93Y+tYL+CVCEfjzp9eL+X9lGQ6LbhIvPps+o73JBEv4nk8Ho+n0JjZ32Z2HtAa+Av4RNJHT7uqaLNwJ4NdgRo/sjet0n7i1ZrnMfyFFOb8VonrroOWLSE9Pe+8devCccfB66+T8vvvpBx5JI2BMddy7xJzguHtOCPlv5FulKgkcUGwz8aR5eFSB1bg7nLOxxnxzsCdfGwtXIarKEfgUbhQ0qngUmtxfmvNijJhMM8FOGH2D1wlvz4Jhl8LvAAMB66WdCzwj5l9W9QXUl4xI8uMN8w4CGiLe/88APwlMUSiuRtnPwD7XQ0fHAPHRM8xmX3ZJ202Y3Y4jTfegJmzKnH55bDXXpAWk4C7005w0knw7ug0Zs1OoVGXppWACRLXBemJnrLCRUlk4CKOPUUncoH3Z0ybT2/E+eMB5wJrcEJeagGbeOIRlnCZAVMJ2YJkL6dCEZaCaqMzccWdOhGyOwgFN+HCSiGsq4ApwDqgDSF7ykdflRi9gM/LQBAtuXRax2RcgTp/g7Ec4EU8j8fj8RQZM/vBzI4BDs2AusfBCFz0CgA/sjcHp02gUbu6zPo5nd69QYWUIho3hlGjSH32WXgw5er0S3k0umRoBnDnVdz/N/AIrrLoLkC6GSlmbGfG9mbUM6OpGXuY0caMsSX24pNI4DnXHLghqvkE4BxJ03AC31dAkSLiJNUMtt3PzJriUkLfllQpdqyZfWlmHc2sIy6N+TpggKTLJb0u6bF421VUzJhuRl+gES7l6GRgrsRoiSNm0DJtsIu8y+Ub9uPQ1M9pc3BNfvo5nZNPLvz7f7fd4LOxKSkPPIBw1ZQHlugL8hRE5HvMi3jFowmwOKaoQFPyRuZt05ixAhfp2wVnTeEpCk7Aewg4GF+ksWiEtQMuAixyI64doagIRhedNxZ37LkNODBPdJ5ny3DFQY7F2Y+UNiUbiReyNbib4l7EKwd4Ec/j8Xg8xcbMxq6CIfWj2tayHT3S3mH3tlX5ZGw6O+5YvLnPOQdefiWFx7iEkZyep+8G7s5ozPw9zbjYjN/NiiZaVUQkXY3zojvKzNZG2s1shpkdaWZtzewMnA9boSoRR9EdWG5ms4I538NVFY5XWTWau3C+cDsBJ5jZKTjx4/R8t6qAmLHUjHtxonEPXDrMRxM54E9clTkAlrE9PdLe4YBulRn1fho1axZ9XxJceSU8+SQAAyXiFhnxlAqRCiM+nbZ4xBPsfCReDGZMwUWSDZRIWIzIE4MT8B7BpXgCeSsCefIhrKNwN946At0J2WWEAu9cF513Fi46ry4uOu/O3Og8T0lxPE54fqsM9lXS6bTgshIOKOE5PcXAi3gej8fj2SLSXPpmLtdzLwszduaVN9KpWnXL5j7lFLi0v3FR6lMsoFFuex3+qzqfplW2bPaKg6QrcRWCu0eKUUT11Y/6/TxcmlZRIw9/A9pI2imYZ3/ciWbCNCVJnYCaZvYRTtCKBEzmkNijsMITpNq+ZUa31kzveBYv5Hmtl2goWdvvwIiX06hcecv21a8fhELkpKXxkuQvVssIH4m3ZeQV7Jzo4kW8+DyOu5gPe3+8QuCKMDyBq54aiW1uGKTAexIRVlXCegL4AHdu0IqQ89EN+ncA3sBF5j0PtM8TnecpSXoBnxKyJWWwr9IQ8SYCbfxnLvl4Ec/j8Xg8W8qiTb/U46mUC7hncBpNSsj69t77RI066Ty0eW2KIp2cSGyhpJIcJDXC+bFtD4yTNF3SN1FDzpc0V9LPwHHA/yJFMCRdIOm2qLnelxTxqvpR0ucAZjYVF1E3VtIMXPXEU80srp+KpHSc/+FVwfYzgd8k/QB0w6VXb/VMp+1/27E+1+HxZ5oTttN4+PF0dtihZPYxdCgpGRnUwHkWekqfiFi6LKmrqLjECnY74Iq/+HTaGAJ/vL7AWmCE98fLByfgDcNVD482JxCwd1LWVBEIqxOu6mxPoBchO52QLYvqPwb4AdgPF513eW50nqdkCas2cARlk0oLJe+JBy4SLw3Yt4Tn9RQRL+J5PB6PZ0sZgYv+4kkuoHp1OOusxINbtGhBtWrVch9VqlRBEm+//Xbc8RkZcMkVlXgmtR+ryQ3t+wf4vaCFSUjiGImvgb8ldi7aS0s+ZvanmcnMdjWzNsGjY1T/IDPb3cx2M7PjzTaZfJvZk0FV4cjzY8ysUTBfQzPrGtX3sJntbWatzay9mX2az5oyzexgM/s3qu1cM9vHzLqa2bYigCwhyn/wUfrTrOFGTj45/42WLVtGv379aNiwIdWqVaN79+7Mnj077tiaNeGCC0hLT+dyyfs/lQF1gJWELDPZC6mgxKbTRm7n+Ei8OET54x0E3Jjk5ZRPwkrFRYn1YfNr1xygZRmvqPwTVjph3Q5MwEXatyRkr0b1VyOsp4DRwJigf0zcuTwlxf9w79d3y2h/pRGJNw93/u1TapOMF/E8Ho/Hs2W49M5+QNYnacdwcs90tssn0P7HH39k9erVuY977rmHOnXqcNRRRyXc5owzYGV2Nb5lv0hTPSCcaLxEmsTpwE+4k9QOuAibekV7cR5PvnQg6lzqk0rHclrvSqQWEE/Tp08f/vjjD2bMmMGSJUto0aIF3bt3Z82aNXHHn3kmZGayI9CiBNfuiU9tvB9esZDYDuenFS3YRUQ8X0E0AWZ8B1wN3CrRNcnLKY9cBZxJ/OvWLLyIl5ew9gK+xv3dLgWOJGR/RfXvj4vOOwXoScjOIJTXpsNTKvQCPiBkK8pofyUv4rkKxZPwxS2SjhfxPB6Px7PlmI38m/pdp+S0tU6dirbpE088Qd++fcnIyEg4plEjaLDjRr6hY3TzKThftlwkqkhcjLtb+BKwe9Dlj3ee0uA+gvfWcmoyZ+MuFPT+X7NmDaNHj+bWW29lhx12ICMjg3vuuYeFCxfyzjvvxN2mRQvIyCAb8n4APKVCHbwfXnGJGJdGi3hNgX8IxU/N9+TyKC5C52XJ32yK4Suc6AQukimaSkCbslxMuSWsFMK6FJgKZANtCdnjgfACYVUirDtxf89fcdF3ryVtvdsSYdUDDqHsUmmhdNJpwfni7R/4nXqShE/L8Hg8Hk+J0JC/55GDdtut8NuMHTuWuXPncsEFBdt97b47zP83r9HefBpf3FSsCp4eCtyOK6oQEe1iTzJ21qbxHk+xuZ0BzQZEXTzODwKOmjcveFszI7AtzPN86tSpnH765oV9U1OhaVOy5swpsFqwZ8vxIl7xibw/Y9NpfSptAZhhEucA03D+eEeakZ3sdZULQjYRaBsIIVcHj7VAFVxBpdZJXF35IKzGuKIUXXHnQXflsQQIa2+c9cmeuMq+T+SKe56yoAewDni/DPdZGum04CLx6gI741K1PUnAi3gej8fjKSlSgAJTCaMZOnQoRx55JDvvXLBVXWqqyI7x/f6Qo84AzijCGhOm4Ho8ReF1TmEAd+Y+zwl044Le/1WrVuWwww7jlltuYcSIEVSrVo3rr78eM2PlypUJt0tLQ+CN78sAn05bfJrgLlSXxrR5Ea8QmLFc4lScj9kNwB1JXlL5ImT/EFYNXFTefriUvmOAX5K5rKTioqFOA4YS8SoL2bdR/Sm4lNp7gJm46Lw5SVjptk4vYBQhi++ZUTqUlog3BZfGfgBexEsaXsTzeDweT0mxDLC//94s+i0uf//9N++++27CFMJYFv6dQ4eYAJm9mHUt8EFUU1vgfOBA3ElG7HEuhDuR9Xi2iLVUSc8kbUw6WXUAdmAJAAsXwh575L/tiBEjuOaaa2jfvj3Z2dmcd9557LnnnuyQoKStGSxciCDYiac0qQPMSPYiKihNgPlB1dUITYEvkrSeCocZkyWuAR6U+NKM8cleU7khrDTgJGBIEGX2Bdvye8tVO30CVxjlceBaQrY2qr8JLjrvYOJF53nKBhcl2QU4oQz3mYa76Vfy6bQhW0dYU3Ei+ogSn99TKLyI5/F4PJ4SwYzVGRn8NnkyuxZUnRPg6aefpnHjxvkWtIiwciXM+rUStzM5unnuQXw5xGxTdVDgR1wqUkvgetzdz2wgPej/3YwfC/eKPJ782A2UdQ8wGKAhf1EvfSmTJ9eha9f8t6xbty4vvPBC7vPFixczePBgDj300LjjFyyA//4jHfJ+ADylgo/EKz6xlWnBR+IVh0dwaZEvS7QxY3GS11NeOAjYAXgj2QtJOmEdATyHsww5kpB9HNUn4HTgMVx03v6EzB87ksepwArg44IGliCVg5+lEYkHLqX2oFKa21MIvNG3x+PxeEoM27Bx/Ki3s7MLclrJyspi2LBh9OvXj5SUgg9FH3wAmLE/kyJNU4HumGXFG2/G92acDuwKPAVsDLpK64TGsy1idj9wF5AloEvWeN57u+BAhzlz5rB4sbsu/+WXXzj99NM55JBDOOyww+KOHz0aUlLIxKWxeEoX74lXfPIKdmHFq1brKYAgkvEc3HHrJclfrwWcAswkZHOTvZCkEVYVwnoM+AhXoGKfGAGvDvAqrrDXS7j0WS/gJZdewFuErCzPP8tCxGtNWNVKaX5PAfiDgsfj8XhKBqnWZxyy/6y5qaljxuQ/9N1332Xp0qX07du3wGnN4MH7c7LbpsycU59FtwIHYtYeswIvDM2YZ0Z/oDFwgBnTCvVaPJ7CYnYTrirnpYfYmJFfTkpnSgFS24QJE2jXrh1VqlShW7dutG3bljfffDPu2JwceOB+yzJjuBmrS3z9nk24CBYfiVd8YqPuGgc/vYhXRMxYhovg6YaLKt+2CSsVl0q77UbhhbUfrvDJGbhIu16E7L+o/iOB74HOwBGErH+e9FpP2RNWc2BfyrYqLZSNiJcCdCil+T0F4NNpPR6Px1NS3NWFCXsdmvo5V1/WmW+mppOREX/gySefzMmFybkFRo6EyVNSUqHN2ZhNKniLzQnSkXxKkqd0MPsHePRi8Vh6Oq3692evL78kLVGRi3POOYdzzjmnUFM/+ij8MS8n7QXrM8cFVnhKkWq41HsfiVdEgmixWBEvUk48NsXWUwjM+FbiOuB+ia/MtmH/N+cpVhd4PdkLKXPCSgduAgYAnwOHEbIFUf1VcbYOF+Ki8C7KI+55kklPnJft2DLeb+Tsu+Q98RwLgL9wvnjjSmkfnnzwkXgej8fj2XKkqkBvgKezz+G3uZlcc7VRUFptQfz8M/TrRzbwiBnFEvA8nrLCDMvM5MxvvoHbb9/y+aZNg+uuyeYWG8SZjLgbqXHBW3m2gNrBT38BXHTqApXIK9jFq1brKRoPAaNx/ng7JnktyeQU4EdCNjvZCylTwtoDV634OuBK4PAYAa8jLjrvNCBEyHp5Aa9c0Qt4nVB865dSpHQj8UJmuGi8/Utlfk+BeBHP4/F4PCXBjkAVgF34naez+/LY4+Kmmyi2kDd7Nhx0EFmZmfyATyfyVBDMmJGTw+WDBsHgwcV//0+ZAocfkskBORO4kbvARYhdWIJLLRUkVZb0mKSfJX0vaURU3yOS5kkySW0KmKdvMMevkoZJSo/pl6SxkpbnM8fNkn6U9LWkplHtwyV1jrNJneCnF52KTiTqLjYSb35wwecpBoE/3tm4auvbpj9eWCnAyWxLUXhhibAuxgl0qUA7QvYIIcsJ+tMJaxBO4JsPtCRkLydtvZ7NCWsfYB/KPpUWSj+dFiIinrOh8JQx296BwOPxeDylwWLY5Nd1Gq/wHGdz3z3ZHHNkFvPmFX6inBx46inYd1+yli5lemYmh5ixruSX7PGUDmY8Dlxx7bVwyinkLFxY+G2zsuCBB+Cgzlm0Wfklo7KPJo3sSPeepbDckuYewIDdzawlcHVU3xu4tLh80ysl7QzcDhwINAfqAefHDLsC+DWfOWrgvKNaAUOB/kF7d2CtmU2Is5kX8YpPE9z//c+otnjVaj1FxIz/cGl5hwLXJnk5yaAzsBPbih9eWA1xhSseAR7AVZedFdW/JzAR916IROf9GWcmT3LpCfyNK0BS1pR2Oi2492AdYLdS3IcnAV7E83g8Hs+WY7Z2KbVfi246m+GMs678NnYeLfbM4tJLYebMxFOsXg3PP+/EuwsvJGfNGh7OzOTg4ALG46lQmPEQcNSoUSzcbTeyr70W5sxJPH7FCnjySWi7TyY3XpvJ1Rvu5P2cI6nGmuhhf5XuqrcMubT6vsBNZi76yswWRfrN7AuzQl1s9gBGmdmiYJ4ncelikf20AE7ECYaJyMZFsKQDVYGNkqoAN5M4src2TohaUYg1evLSFFhollsJHDb3yPMUEzO+xqVU3iFxYLLXU8b0AGYDPyV7IaVOWD1xxSl2AToTspsJ2cagL4Ww+uOi80RsdJ6n/OCi03oBrybp/1MWkXjTcBW0fUptEvCFLTwej8ezxUi0q8mvR33GoevaM3W7SPuBfMWMrBY8mtWfJ5/sz6OPNqVR3Q20aZ/Gzs1TSUuD5cth+pSsnB9mpZGdjQHvmnGHGdOT9oI8nhLAjI8k9sjM5MqHHuKiwYPZqUEDNu67L2nNmpGSkgL//Qczv9vAj3PSSLUsetjrvG53sCdxFb+nyvo1FJFdcX5yN0o6DOeHdquZfVbEeZqQN4JrXtBGkFY7DCcWZm+2ZYCZrZH0IPA1sAg4C7gNeMDMVibYrA6wjJAlnNeTkHiCXROcEb+nZBgCdMX547UxY0mS11P6uFTaHsCzW3Vadli1gMeAEO6mxdWEbE1Uf0PgeVw05p3A7YQsMwkr9RSOdrgo8mSk0kJZiHgh20BYU3Ai3gulth9PXLyI5/F4PJ4tQuIk4KUVbD9pIINOH81xxwBnAg2BfyqzcYereWDPKzMf5Cu6MHHxAUz/sC1T0ncmi3Rq5Cxnp+x1U6Zx9FDgfTP+TeoL8nhKEDPWALdL3AV0+/tvOo0eTdu90uZ2rWara9fM+Y9Ds6dzNdM4hvfZPnEQ2C2Y/VB2Ky8WabiIrJ/M7HpJbYFPJbUwV8G3JBgIvGVmsyQ1y2+gmQ3FpdIiqT3QCPhI0uO4QgxfmtkjUZvUxhe1KC55RTwnvsSKsZ4twAyT6IOLgHlR4lgztvYorE5AA7bmVNqwDgOG4yKHjyFkH8T09wKewFU57UzIvi7rJXqKTC/gd2BykvZfFpF44HzxupfyPjxx8CKex+PxeIqFhHDpPXfjIoT6j7ZjM8GeA56LGtgPeDIF4yC+5CC+dO157yGfh9mMslm5x1P2mJENjAkeoD2OBD4sYLM11OVn+tCK1my6sAvrAGANoXL3mZkP5AAjAcxsmqTfgZZAUUS8+biovgjN2CQQHQw0kXQJ7jy2hqR5QAczi3sDQFIacD8uJfcM4F8zu1jSOEmjzey3YGgdvB9ecWlK5L3tiFSr9em0JYgZ/0n0Ar4ArgHuTfKSSptTgLm4FNOti7C2w1kCXAq8CVxAyJZE9dfC3YToRbzoPE/5xN3A6AW8lMTo0YgnXmmLeBOBKwirBqGEEe6eUsB74nk8Ho+nyEhUxt05vhO4HLjQjESpHS+S/wn4SC/gebZBPgbezqf/KcyqMYR2tGYC8ARh7UNY7+EqEibrDn9CzGwJ8BlwBOQWqNgZmJXfdnF4Ezhe0k6SBFxAkJZkZgeaWVMza4YrkrHSzJolEvACrgLCgT9fVZzvHcHPqlHjfCRe8YlNp41XrdZTApgxCbgBuFMiXpXlrYNNqbRvbHWptGG1B6YCfYDewCkxAl533HlTV+BoQnahF/AqDAfgor6TlUoLLhIvqwysISbh/Bn3K+X9eGLwIp7H4/F4ioTEDriIi/8Bx5nxsBmJT7DN1gHdgJczSYtO/VmOuwvdp9QW6/GUV1zBhlOBm4AFkebF7Lj8Sh5YV41VtwAQMnt3yvGPr1xXfV9gJnBkMDSdsDIof1wAXCPpe+AdoJ+Z/QUg6SlJf+IucD6W9EtkI0nPSDoeIIiMG4gTK38B/qWYfoCSdsVdCD8TNI0ADpH0A/CzmUXfYPCReMVAoirubxct2DVl82q1npLjQVwk7yvBMXlrpAPuu+L1ZC+kxAgrjbAGsMmrsyUh2xSxFVYVwnoE+CQY05KQFRSx7Slf9MLduCpU9KikypIek/SzpO8ljShMX8wcKZIelPSTpJlNLmXA3IWbigxJui7omy7pa0lxRTdJ5wTjpklqF9V+m6TQZhuE7G/c9/4BhXmtnpLDp9N6PB6Pp9BI7AWMxnm3dDYrZIqL2VIg1EQL9z6G9397hvMeBr7BbH3prdbjKeeYZQF3Id2Di1zKqcfiZbgLgME3nXjnoB//3PvlD6a/vl+j2gv47aHmkPfcrSZQrj5DgQDXLUFfv3y2Ozfm+TBcAYv89jUP2L6AMb8CR0U9/w+XkhuP2jjR0FM0IlF3f8S0LcytrOkpUczIifLHe0HiuK3QH+8U4Fdg64jUD2s3XGZCW+Ba4OE8lUvD2hd3k6E+LjpvxFYXgbi1E1Ya7n37eBH+d/fgbnjsbmYmaadC9kVzPNAZaG1mmSe016jrX2GXt64CSW2Ai4AWZrZa0hm4IirxhLybgX2A9sCNQI+gGnwrM7slwb4n4SvUljlexPN4PB5PoZA4HHgNJzCcaFYkjyskqkD9fZ7l3HufsXPHl8oiPZ6KiFkOrgIrBkhcC4x84IOrzszOTlVWTjp/L28Yb8vtKZrXnCd/6uDTaYtDvNTZeNVqPSWIGUuj/PGuAgYneUklR1jCpdK+XOGFLPda+gEP4Pz99iUUVaTICT834gSUL4HDCZn/7FRMuuL8QF8tzGBJVXGV1huZi84nsH3Ity8OhkuhzZCU1b0l1XarlxuJZ0A6zjpiNe68IVGEdDbOT68qsFFSCq4q9nn5vIyJwCDCSskjSntKFZ9O6/F4PJ4CkbgI+CB4dCuqgBfQHhfB5yureTxxkEiT6Is7aWZDZoayctIJficza7N7rzXLdoVbPT6dtng0wV0cLo9qa4qvTFvqmDERJwDdLW1VKW374t5DFbsqbVj1gfeBx4GHgY4xAt7uwFe4/+G1wGFewKvQ9AKmEbI5hRy/K+7G0Y2SvpP0paRDC9EXy3vA57gU7YU//snud/diCYA5z+khwO+BncUVQP8E81wLfApcD9yGi+B738zy+y6fhBMG9yjMC/aUDF7E83g8nmIgKUPSO5LmSpoh6VNJzaP6vwm8J6ZL+kGSSWoVZ56WUeOmS5on6b+o/k8kzQz6vpTUNsF6jg7284OkI6Laz5F0Y/FfJ2kSj+BOQAcBp5sVO32vE7CYIOLI4/FsxgRcCmndeJ0r1m2m2XkRr6RwJvq18JF4xaEp8EeMN6qPxCs77scVynlFok6yF1NC9AB+xxV/qJiEdTLOF20P4CBCdmNuenlYIqwLgem4CKr2hGyIj2SqwIRVCTiZohW0SMN9f/5kZvviKhW/KqleAX2x7ItLg20INGjXjD/6PEktyC0wdRLQ3Mwa4QS9uJGCZvaWmbUzs4OBNcAJwGOS7pL0qqQ742w2A2frsTXdRCj3eBHP4/F4is/TwB5m1hp4l03G6ZhZRzNrY2ZtgFuBH8xsZuwEZvZ9ZFwwdjQwMmrIqWbWKuh7EFcRNh63AUcHjzsBggP9mcB9xXlxEjWD9ZwH9DTj9nwLWBRMJ+DrLZzD49maWY6r9BaXZWtqrQWyopq2L+X1bEvUxJ0X+0i8ohNPsPMiXhkReOGdhfvueEGq4Nd3Lv30FCpqVdqwahLWi7gowreANoRsQlR/A1xWw2PAQ7jovB+TsFJPyXI47phcqFTagPlADsF5v5lNw4nXLQvoi6U3MNbMlptZziWH89OEuVQJ+k4Gvjezv4PnzwOdJVUqYG0PA1fiUoQbmFlPoJGkvJ63TpiejPfFK1Mq9pe8x+PxJAkzW29mH0R8KnApos0SDO8LPFvQnJIygNOjx5rZ8qghNSGhAJYJVCHwsQjahgDXmTPPLxISO+N8LtoAB5vxWlHniJlPuAO8T6X1eBJzFO77YiV5xToA+r/w6EnA21FNzcpmWdsEtYOfPhKv6OQV7MKKV63WU4qYsQSXynck7sK7ItMW2JkglVbSbpImBpkPkwOj/bhI6htU8vxV0jBJ6YXpi5njc0kbJdWNattFUo6kd4Ln44ICAZH+AZLWL3hUh+Oi746o0Ze/dDqvErJVuZOHdUrQvzux0Xmeik4vYCKhfFNP82BmS4DPgCMgN2puZ2BWfn1xpvoNV3W9EsDr37BH851YG9XXWVK14PmxwFyzxO87ST2DNXyPu66IXHvkANXibOKLW5QxXsTzeDyekuEyXDReHiQ1xlVCjFsWPoaTgN/MbHrMHC9KWgDcjousi8e1wAu4SL2rJR0L/GNm3xb2BWzaH12Ab3HC4H5mFHmOODTCVVzzIp7HkwAzcsx4DmgOvBw056ZXfTzzyExCdiouxWUt7s6/p2SIpCH6SLyi05TNi1qA98TLl5IWp0AvQpcpsPFuafML6i0Rp4KbjJG22fl4c5UEp+DeT5OD508BT5vZ7sC9JMhICESO24EDcd+h9YDzC+pLwEzynm+dA0yJej4OF6EEQIo4dJe6LPv1Hz4Gplz6IoesWs8OOIsECGt7whqBKw72JtA6T3Sep2ITVhXccbkoqbQRLgCukfQ98A7Qz8z+KqhP0jOSjg/GPY6L0pshaea3v9Lsqb5EfPneBkYB30magbteCSVajKRawMW4zwvAR0AdSTNxN7s+irPZJGBvwqpV5FfvKRZexPN4PJ4tJPCcaw7cEKe7DzA6uKNWEHEj9syst5k1BgbgTmA3w8y+DFJ4O+Lu8l4HDJB0uaTXJT1WiNB5JM7E3fmbCHQxK7FIik44MeK7EprP49lqMeNfM3oDh5JXHNkRgJCNAv4HHEZYx5T9CrdKIpF4XsQrAhKpuJs00YJdvGq1ns0pBXFqwj9w5xycP17tONMVSZwCuuF82zoF+6uPiwAuHQFqU1XaNwiZBYLjvsASSVNx50FtJF0T2SQQJ3/HFYioBJwWZEk8CZwWDOsR9L+Gi2RqBdwiabuoeWpJGgnsh/MWuy5oTwF6AuHg+Tm4v9uZktoteFQdGtSi8x712aHfs0wBTnr0Y1oBX5vZesI6BHde1h04jpCdT8hWl/jfzpNMjsZlw7xe1A3N7Dcz62ZmLc2stZm9Wci+c81sVPD7BjM7z8z2MrNWM+/h030auUJD5rjBzPYM5jjAzKZstpBN8y4zs4PMbH3wfKOZHR9Y+5xgZplxNpsU/OxY1NfvKR5exPN4PJ4tQNLVuAi6o8xsbUyfgLMpXCrtzriT5HCiMWb2AtBNUkHG1XfhfPF2Ak4ws1NwF6anJ94/KRJ3AC8CjwAnmVGSJ5mdgB/MWFXgSI/HA4AZY4G9cH6YBhyW2xmyT3AXpI8S3nQh6ik2dXApzP47qmjshDNgj43Ei61W64kiSpyKROm/CTRWVIGsKHoAo8xsUQJxKqbvntW4SvDDAyuLaF7A+edtJk4F5Ip4wY2/nXHFdroG/V2JiFOlQ2ucUBkRQxoDC3HnJn0Cf+AfgTslVY/a7gqc/9wDZjYkaJvHJkE5kvJ9iZntiUsprEYg1AU8B0zDZSJcCPwkqSMu4vk7YFkw7mac1YjtWZ/wb4uZ2HQHVo+fxddzF7Em8PHrlpHOF4Q1BHdj9DtgH0I2eov+Op7ySi/gc0K2KNkLCagMbCizvYXsH1zark+pLSO8iOfxeDzFRNKVuBPp7jHedREOwV3cfFqI6c4B3o6eR9L2khpEPT8RJ8Yl9GyS1AmoaWYfUTgfCySq4Ix4rwPONeMaM7ILseai0AmfSuvxFBkz1ptxFXA10Fti96juK3HRefGigD1FozbwX4U00k8uTYOf82Pa/vB/y3xpDCyMeNYGAtx8NolO0TQhb6TjPPKKUzF9GxvgRIWjceJWNAuARQnEKYBvgAaBFUgnnKD1OS4ij+Dn2EK+xuLQA/gz2G80xqZCPqnACoouUiyNKjCWg/MPbgYQiKf74m6YRHgSlyHRFyfwRcgefgG77lGfrJpV2P2hjxg7YS6L1m7kDJzxf0ZGOke8eyVnBtueDZxEyP4t4no9FYGwagDHULxU2tKibEU8h/fFK0O8iOfxeDzFQFIj4AHcSeU4SdMlfRMzrC/wvJnlxGx7gaTbop6n4NJuYyP2agLvSPo+8LG4BDg2qphG7JrScSk5VwEEJ6u/SfoBd+K9mS+fRANgPC5tr7tZwVGDRUWiEtAeL+J5PFvCo8Ac4PHc6JqQ/QXcAlxHWLvns62nYOrgi1oUhyY4QeSvmDafSptEzPgKFzF2r+RSYaN4jvjiFIHZ/QRcxF1X4HMz+5VAnAraxpXKovNWpY2cNy3A+emeBrwl6Q+gBXBVjDH/PTgBsK+kXYK2Zmx6H85nk+AMsAdO6Ih4Ge+NEw+fwJ2vDMR5jB2Biw78LLLh1cfwyZAP+Hb1etJ/+YfP3vmOnXE3Yf9IEd9cfQwvpYgmB+3JAqAVIRvuBe2tmuNxN+zfSvZCosgASitaNhGTgE6ElVrG+90mSUv2Ajwej6ciYmZ/wmZpKrFj4hrHmtmTMc9zcHflY8f9gfNmKeyaMnFFNKLbzk00XqIt8B6wBuhoxs+F3VcRaY07WfYinsdTTMzIlLgQ5+t0Ki56Fpy41wd4nLAO9xeLxaYO3g+vODQB/jLLU025CTA7SeupKCwA6ktKM7OswH4jkfg5H9g16nkz8opTifruxZ0TvCLRLmrMO0HfBpw41Ttmf+NwN/52xqWVgjt+n4Lziou9YVlS7IOr2npOpMHMFkuaRmDzAdQFbgPulfRB4Dd8ppktCMS7qcCHkvbEFQWIREe9CXwl6VacWP8E8K2ZRap9p+HOt27ECXxf4ESZy4FVZpazS13VaFSbjoND1AMG17uQ95eu5mWgFnBL4zp6Yo/6HPfs51RrWJu5GZXoRshKOqvBU/7oBXxCyMrT8SMZkXgTgeo4Qfz7Mt73NoePxPN4PJ5tEIkTcWLAHKBTKQp44FJyVgT78ng8xcSMCbjImSESNQAIWRbuQvswnLjnKR4undZTVOIJTy6d1pMQM1uME5wilWBPBv40s1/iDH8TOF7SToHYFytOxe0zIwdXxCIdeD5q3+txabaXxmYKBIzDfZ80NbOIGDseF9k3ISYCriTpAfx95F+5VWkjPIJ7Tz0DXI/z8fsTaCvpGaAtuCIAwDXAbjh/rn9xxUMifQNxUYb/4fwau0ftYz7wl5lFogyn4opkTDOzjwjrxBuO546qlakBdCVk1y1eyUScqDj+rp4M7ro3577cn7+WrYGfFzHeC3jbAGHVxkVrlqdUWkiOiPc9LijAp9SWAV7E83g8nm0ICUlch7vDPAI40iyPH05p0An4Jrig8Hg8W8Z1uBP03JR8QjYRl44/JPDn8RQdH4lXPPIKdi6VqhE+nbYw9AP6SZqLE6fOjnRIekbS8bCZAPULicWpPH2un39xqajHQrNGm9rtrcA7Nx6TcdFl0b5043HiWKn54a3K4dRj/mbJmHWp8zVIR0d1fYUrOnOCme0LrMNFH87BiZbRkYH/AQvMbGcz6xtTSfN5XKXdV4G9YvqmACsltTKzrsDfgF65hOWE9Tzw9nmH8MaH11GfkH0RbHPyDtV53EaSvXdDLp+/hFmtm9AaV2X4vRL5o3jKOycB2WxKyy4vlH06rbuhOBk4oEz3u43i02k9Ho9nGyHwpnsKV5nuKuAhM8oi9a4Tcfz4PB5P0TFjicT1wJMSw82YHnRdD/wPJ+5dnqTlVWRq46peeopGE+CDqOfxqtV64mBmc0gQtRJrhWFmw3BVYuONTdjn+vlC4mb4/VacOBW7/XCc8BR5noVLi4tdax4LEQ1SK1y67lAbuGVRZ2c+qNO+3pC25z9k5By+64F8+MuH76cMSnnWsCvM7B9J5wOvScrBBaFcYmbzJVUF3pdUGefNuATnUebW6PyH/w5sTHriRJeZwDQXuMgEM7vYzEzSWcAwSdsBGy45nEE99+c7oApwIiF7N2reWvVqcsvvD1EPWNVxVw79YjZX6HQm47z0Egmknq2LXsD7hGxlshcSQzIi8cD54p2chP1uc/hIPI9nG0bSI5LmSTJJbWL6jpY0NSjY8ENwcpNonmMlzZb0s6S3pE2RIPn1xcwxPFhH26i26pJWS5oePH9e0oCo/jOCbZpFtX0kqW8x/hxbNRI74Krk9gCON2NIWQh4EnWBXfB+eB5PSfIsLkrmCSk4lwvZElyUXn/Ceb/Pi0sBx4hPJM0MjhFfRn93x5mnb3AM+FXSsKAIT4F9MXN8LmmjpLpRbbtIypH0TvB8nKQzovoHSFofGPJH2mZLOjTOLnwkXvGITaeNFA/w6bTli3twabKvSdTakok0SGkapBtSlDIVeCQ9JX2CBql5MeeqrEG6O7xK4V0bHcxPF89K+eD0D1Je6/EaNSrXOCs9JX2WBqmrmb1sZi3NrHXwMwxgZmvMbN+ovkPNbEZkfjO7JeJDbGYjcZ57a3DCXCYwNGrsFDPraCPpYCMZ17oJDze8hB3SzmStTufY3O+msGrechKjq2ewd7PLqLRdH8bXv5ivzOx4M2tlZidEovzK4HvLkyzC2gnnHVneUmkheSLeRGB3wqqThH1vU3gRz+PZtnkD6ELMyXbgqzIC6GNmbYBjgackVY+dQFI13AXliWa2G+4u780F9SVgClGGxri7prOino/DVUaL0A2XRtE12F9a8HpKLd2jIiKxF+7v1AzobMboMtx9x+Dnt/mO8ng8hSZITb8QZ8Qe/Z35HO6z/gRhlcQ5XtxjRMCpwQVrG+BBoiJ5opG0M3A7cCDQHKgHnF9QXwJm4jy+IpyDO25EiHeMmI6LBkZSfdz34IQ4c9fGi3hFIvBl3J68749ItdrNIr48ySPKH68S8FxuhesiokHaPT0lfVJaStoddx96d+qU86ewW53d2qcq9QcN0kUapELPq0Fqo2Faxn1cf9RfR/PhGZ/SqEYjxo0bx4PnPsheo/dKq/FKjQb8xzgN0hAN0nbFWXMMTwFPm9nuuOIew/P0htUKmPzrP1x82YusXLaG5tk57Ezkuymsg39exI9PfUanp8+lz+KV1FyfSW2S973lSR49cKnd7yd7IXFIlogXuWEfWxHbU8J4Ec/j2YYxsy+CKqtxu3En5wA1cBc38Q4IR+GMfyPmx0Nx/isF9cXjLeDYIC0CnD/Mc1H944D9JVUKnncB7mbTyU8HYImZ/Z7PPrYpJLrjwtsXA/uZMbOMl9AJmGvmL449npIkSKN9FLg3iLSFkCUS94q5j8THCDNbHvW0JiSM7O0BjDKzRWZmwJNsOg7k1xePF3B2AEhKwd3oCUf1514MB8eJnXFphl2D/q7A14Gx/ybCSsMd73xhi6LRJPg5P6btr8AfyVOOMGMx7vN1PHBpUbbVIKVoe/3Cvcyp9XWtdlPPn5pybedrqb2hNjVeqpHW8M2GlRnG4ymzUqZokBoXYr6uQt+1vaxt+r333su+DfYlSG+lefPmjB07lklfTeKF+15Qx7kdqZpetX+qUr8piki42T5dNNy+bLL3eBNoLKk5YaUS1rU4T6+VR9zLo2s38sraDe67qXZVnm1ejxuAcU99xop1GxnR7Q57IanfW55k0wt4l5CtTfZC4lD2nngQyQj4Ge+LV+p4Ec/j8WxGcFLSE3hL0h84U+GzElQka0Leu/DzgPpBVFx+ffFYi0v5PFHSnjj/ldxIPDNbACwEOkpqgrvg+oRNB4tu+Ci8XCQuAD7E+RV1M+OfJCyjEz6V1uMpLW7B3Vy5N7clZDNw1RzvJawdSnPnkl6UtAAXTXdmgmHxjgNNCtEXjwXAIkkdgcOB7yBPYZ5vgAaSGuO+e74FPscdGyDxMWL74Ke/2VA04ol4vjJtOcaM8bhCGIMlOhRmGw1Sk7SUtLHqq12O738857c/P6VlvZYANGrUiAkTJvDHjD94/ZXXSfsqrU2qUmdpkHoXMO1cw1JuPObGtLrV6ubpaNy4Mdtt54LuMjIy2G2H3WjfoL0ZNtcG2pbYgDQGFgaef5Fz3fnd92E/nJB2B+5vc/Cv/1CVyPs4rNaf3sjg9Zk0AM5/4APGrlzH7Kh555Gc7y1PsgirCdCZ8plKC8mLxAOXUusr1JYyXsTzeDybEYhsA4CTzKwpcCjwklS6F4QBzwF9g8fzcfojdyy7AuPNbB2wOEjL6hr0b9NIpEk8DDyBM7k/3azs78hJpOIigryI5/GUAmasBK4EzpHoHNU1EHcX/t64G5bY/q23mTXGHS9KdV9RRB8joiO1CW40TWDTMeJzM/sVaBT4S3Ul/jEi4t/jI/GKRlNgefA+jBDrkecpf9yNE4lek3IF7PzYNysn6+BR/Ubpf3v9j9SU1NyOtLQ0UlLc5eQuVXah52E91aJuiyqpSr0gvwltoP2dnpI+4eUfXk5YtX7VqlXceOON9Lm4D1/+8WVajuW8XIi1Fp6wVK8mO1xzLM/g0un3I2T3EHJFOlJTEGFdB0zOzmHVouUsJGTPFHNvpfG95UkepwLLcYEE5ZFkiniTgP2CCHdPKeFFPI9nG0FS78CAfLqkswsY3gZoYGZfAJjZZOBPIJ5x+Xw2GVmD8+2I3OnMry8uZvY10AAXph7vDtc43F3JbriTUIDxuLubnUl0tzKsyoR1CmHVS7TvrYHAo2gU0A84zYzbyqgCbTz2BqrhRTyPpzR5FRiDK3LhTppdpbwrgHMIq3M+2+ZSxGNEHszsBaCbFNfMOt5xYH4h+hLxDnAE0Br4LE5/vGPE18ApQENc1EsskXX7SLyiEU+w8yJeOceMbFzkbAaF88f7IC0lbc3PS3+O2zlnzhw6d+7MEUccwfEnHM+cJXNysi17ZEHryMzJfOm9ue+xLnPdZn3r1q3jf//7HwMGDOB7vidFKWvJWwU5XzQorifoAiLZIGHVzTHeBnauUpmXgX0J2fTIwF3qsrrHfvTHRRnfcuAgBmblELFqKS/fW57k0Qt4i5AlSygriOSk0zomAVWBfZK0/20CL+J5PNsIZvaimbUJHvEi3KKJnOjsBSCpObArMCfO2I+AdkH6K8BFbBLf8uvLj8uAq81sVZy+cbh0g4Nxab7gRLyrgL/M7K8Ec14DvIZSnyrE/iskEjvjwtjbAV3Nkh7m3wln+vt9ktfh8Wy1BCL9xcAeQP+ortdx9gRPFOaOeFGOEZK2l9Qg6vmJOAEsXiTbm8DxknYKiiZdwKbjQH59ida5HidQXmpm8aJ4xgGHAU2j/FjH44oqTUhgC1E7+Okj8YpGPMGuaZw2TzkjsNcIAScAl+Q7dqCtz87JfuOlmS9lxuvfY489mDBhApMmTeKCiy5gY/bGFNz3T0G8mZ2TqWmLpuVp3LhxIyeddBJnn302xx13HCNmjsjMsZw3baBtrvbFoEGSBunCVKXO1yCdFu2hZ2aLgamndOR+4PvwRDqv38jczrdaX0KB31xYIqy+H19P/7E/scPICRyl07l3QxbnU/6+tzzJIKzdgPaU11TasFKBVJIXifcjsArvi1eqeBHP49mGkfSUpD+BRsDHkn4BMLN/cJW2XpM0A3gbuMTM5gfb3SbpgmDsKuBc4J1g+0a4O5f59uWHmX1mZq8m6FuIu0BYbGarg+aJOCPgRFF4u6KUm2l4PFj2CYR1bEFrKK9IVJc4SMr7/S1xAO5ObTaugEV5iH7rBEw2wxucezyliBlzgfuA2yQaARAyw12cx4p7hSbRMQJXyOIdSd8Hx4hLgGMDjykkPSPpeLc2+w2X3jsB+AX4F1chMt++/F+vvWVmHyXongzUIm9F7PHAbiT2laqDu+Apjwbl5Zm8gl1YNXHvDe+JVwEwYxxwK/CAxL75jsVembZoWvri1YvztK9fvynYp2bNmmxI2UBqSuo4G2iLY+fYbM6BtrTOO2S9/FSYF198kcMOOwyAp59+mkmTJjFs2DA6denElGFT0g0rMJVWg9Q4LSVtjNDj3Xbu1gAIpyr1dQ0KrGDCqv7VQBYvWMplDS4mo8+T/LliHT0i29fYTiOeHcfXwLDm9Xhy7QYuPWMoT1N+v7c8yaEn7n9eXlOcI8UBkyPiuXT0b/C+eKWKbIv8QT0ej6ecE5amzEv98spwpQNUp4NsxU9M/H4Jp3ai4cgJ9neyl1dUJB7FXTA/AlxuhkmcjvNY+QR36R4vgrHMkfgRGG3Gdclei8eztSOxHe4O+HdmnJrbEdZtuAiQvQglrEa+bRFWc+AQYDgh20hYVwBXE7KGSV5ZhUJiPvCYGfcBENY+uMjrloTsh2SuzVM4Au/aj4FdgHZmLI87bpDS9ZZW77hyx0pVVZVddtmFMWPG8Omnn3L77beTmprKug3rmLz75JycnXPOtYEFZnxAWLuOWMkvfRan2pPHPqm0lM0Dhsf+PpaXf3h5RVZO1o420OJGAgbRdmempaQ93qRmk8ojTxqZ3qlRJz759RN6v907a+m6pSt6VMm67+X6XADUAPoRsjdj1nICriLsOuAsQvZ5gev3bJuE9QMwnpBdnOylxCWs2rjI+O6EbEyS1nAbECJkzZOy/20Abzjo8Xi2dk5u3yy78/ixH0Hdgxj/8Zvcd8OpNvLinEuAG5O9uKIgUR04J3jaH1gjkY0zlX8AuC7wukk6gVn23ri1eTyeUsaMdRL9gdESR5jxcdB1N3A68CBEiXvbKmGloPSRWOZ+wA7AXbhIPJ9KWwQC/8WG5E2djVet1lOOMSM7uBE4HXhG4pR4Pro20DKFnq1Vp9a5sy+ZnR5p7969O927dwfguWnPMfm9yTk4r7nC0OP4qvxnWMoFoy6ojpFCKpuljWZb9kv5CHh1U5U6LPvZ7OPTlqfR69JedGrUCYC2NdrS6NVGaf/99F+dV7pz75ou+vP4qnbAuRfa3NwJwqoOPIQ7t3oRuJSQrSjk+j3bGu5GRQvgwmQvJR+SG4nnmATcTFh1CRUclespOl7E83g8Wy9h1UDpj9PsNKPuQQJ44dX3Oat3b8EL1xLWSEL2Y7KXWQQiRtQAAm4AcoDzzRiWtFXFp0Pw05sxezxlhBnvS7wNPCbR0oz1hGwdYV0CfEBYRxCyjwuaZyvnbCyrA81Ohz9eHkhYr+A88XxRi6LREGfLEy3YNQWWB4VVPBUEM/4JhLwxOH/NxxIMfWXO0jkX1rq3VmZuLQwjhRxSSSVzTeaaVKEPbaAtL+Sue9RI5Z2cgTnX4ryYrzOzRwu7bg1S01SlTqtXrV61B8IPsP7n9cybNy+3v2bNmnzw/gcMHTqUpZWWMjJ75E4fLlk17rxBamEDbTlhdcEJdzWAHptF53k8m9ML+AuXSl1eKQ8iXsTSZ3/g3SSuY6vFe+J5PJ6tmUGkZtSm7f0CWLt2LWPGjOH48x+D7VsaSn+KsAqqylYuCKrHXcHm39spuCpQ5Y1OwHwzKlzKssdTwbkcV+F7Uxp7yD4E3gIeI6yM+JttvUhqIemrymmadMCtPDU581TR8Tnu/bhWasvrmdLiWk4ZP8t7dxaRSNTdHzFtPgqvAmLGWGAQzh+vfYJhXwEXL1+//Mpl65e5xy/Lhix7dxnL5i27d2P2xsuyLfuWQu0wrJ2BfXEFMM4DMoHhRVz2Qkmpl3S4JL1X516bdVaqVIm6desC0L5Be85sdWZailI2/t6MdYR1L/AFMAuX/u0FPE/+uOuFXsCrhOIWJykvJF/EC9ky3GfL++KVEl7EK0dIekTSPEkmqU1Uex1J06MecyVlSaodZ46dJU0Jxv0g6XVJtaL6j5U0W9LPkt6SVCPBWoYH62gb1VZd0mpJ04Pnz0saENV/RrBNs6i2jyT13cI/jcdTdMJqC7qMdg+kkbEjAG+//TZHH300GVWqQsdn0syyOgO9k7vQQtMVSOQtMUSiXxmupTB0gnJRXMPj2aYwYz7uYvwGKc93xuVAfdgmPSr/BY7d8GLK7GEX1bLLnvydub/O4/05DVNn3MX2Iy9m6QXP0SLZi6xgNAGygEUxbV7Eq7jcgRPqXpOoGdtpAy3HBtpQG2iPRR48y418yzqe5I+gbXoh93UysPy+0XyBi/57NiiGVmhsoG3Mysl6ZeT3I+Om2kaTk5PDyz+8nNk0ZeNHzdL5FuctfAFwLCFbWJT9erZZ2gO7Ul6r0m4icqNufb6jSp9JeBGv1PAiXvniDaALMVW9zGypmbWJPICngQ/NLJ5/y99Al2DsPsHzWwEkVQOeBU40s92CvpvzWc8UNvlvgavGMyvq+TicsBChGy51rmuwv7Tg9fiqSp6yJaxUlP4MdTpks+smDfmFF17grLPOck/qdMCaX8D67LQnxg1Q/SSttChcCgn97ozgc14eCKIGvYjn8SSPh4BfcWm1Lto4ZAtw3xM3BIUdthnMbLGNpCXk9Mlod2taalolxo0bx3EnnUHKLmdam2Zpu65YSyVJlQuezRPQBPgzxoe1Kb4ybYUl+F+ejovuH5b73ZHvNpaJq6x6QBF31wN457qXOQ4XOVzoNNoYXvnx3x/TZ/07K99Bc5bO4d+1/6a/U5++uCrUrQnZ00EVb4+nMPQCfgO+S/ZCCiD5kXiOSUAHwkovcKSnyHgRrxxhZl+YFapyXF+cGBdvjg1mtg5AUiruQBw5QB0FTDOz2cHzocBp+eznLeDYqJPas3EVMCOMA/aXVCl43gVnoN01eN4BWGJmvxfiNXk8JUknLLMdK+eKd5tu5J3GG/98tv7GP34cZ/v/c+pG3mm80d5uvDHnj9dzMlKztvtwOj9K6hf1Xi5XSDQGTgBSg6bIXWcDZgCDcXe1ywvNcR5TXsTzeJKAGRtxxttHACdFdT0M/IJLq60QVgIlQljpKH1Y5o6HZl981wcMGDCApUuXUqtWLWh3v0jdLq3pDtT8dQjvE9aLhJXfDU6PI55g5yPxKjhmLMIJeT0ovHn/BKBzoXcSVhOgIy544XLg3S24Vviicmr60pd/eDnfQd/89TWtM9LZuzKDgAMJ2S/F3J9nWySsFFwwyysVQPgtLyLeRGA7oHWS17FV4gtbVDAkHQDUAkbnM6YS8C3uBGsmcHzQ1YS8J1zzgPqS0swsnhfMWuBT4ERJM3BG+rm3usxsgaSFQEdJf+Aqu32CExTAReb5KDxPMpgEXEHm8gwylwPQaDuYMxhY63Ry4b4A5y+hZngidXF3gW+QdCcwPLi7nHQkKuGMlyMX3HOAj3GfrS/MWJasteVDJ5zQOC3ZC/F4tlXM+ELiReBhiU/MWEXIMgnrQpwX1EnAtuIDdUV2ju3W+6mMlBNOOIYjjjiCefPmsWzZMsioC+3uZ9X6fqkNa3EokRufYQ0jZIvyn3abJq9gF1a8arWeCogZn0ncjrPq+NqMqQVsMhF3/rSDmS0pxC5OBlbsdCErcOcLXYu71sxdOOKQaZnVH7z2QZqubcq6dev46quvGDNmDABHHHEEc3+ey4I188mokjOH3+3O4u7Ls01zANCI8p9KC+UnnXY2sByXUlveoxcrHF7Eq3j0BV5MILoBYGYbgTaBmPco0A+4r5j7ew64DRft83yc/khK7R/AeDNbJ2mxpJ2D9peKuV+Pp/g4w9mHCjO0CfDnpSDpNuBGXITqjZLuwH3Wii3mSVQDDgTaAHsAVYCNuDS36cBXZvyLlIE7qT0JqI4T6p4TNh93kb0vzuNqqBkVoVR7J2CaWdJPIDyebZ1rcSfSA4GrAQjZl4T1AvAwYX1CqGg+VBWOsJrmkHLbeW+0TGndsQsXXuiCi7p27Uq/fv24+uqr+SXnYLavUY3KldaBZWcDT3sBr0CaQB5xJ1Kt1qfTbh3cBhyE88drZ0Z+FYcnBT/3B94rxNynAKP+WclFuHOhLxKODKsRLlrvaUI2N6q92rI1PHT5S/T98jfgvDVcdNRF1K/u3FHemvUWAP0e6sesf2cxYNwA1sCRhVibxxOPXsBPwA/JXkghKB+ReCHLIaxvcAJocdPlPQnwIl6SkNQbuDJ4+rCZxRPIYrepBpyKS1MtEDPbKOl5YBhOxJsPdI8a0gxYWIAg+LWkBsBewN6wWcWqccC5uJO2V4O28cDhuND6swuzVo8n2ZjZH0A/SXcDNwFPsknMeym/z0ksEi0krkhNJZSdzXb16rGxVStSq1cndd06cmbNImvePCpJZNdMW/3pqxyx55F83Cxqiu7AJQ9x2bLLeXg10NmMGSX4ckubTjhzbI/Hk0TM+EfiRuBRiRfM+D7o2lzc23o57YOpOZXD70+j45wZ9uGLN1G7mnjtiu10ZIONdNkzDQke65MClg2wEndDx5OAwCstNp02Uq3WR+JtBZiRLRHCiWzDJHqZETeN0MyWSpqNO+/PX8Rzotz+H83gKeAZ4DyzfNMT78QVIDuOsNoTstWE1enHP3ml5yM0+vkf1pBNz1SlDr3kw0uaJJokLSXt28ybM+fluzaPJx4uyvgU4LEKkEoL5UXEc0zCawGlgvfESxJm9mJUsYoCBbyAnsCMKE+7zZDUVFKV4PcU3JfOzKD7I6CdpD2D5xdRuLDgy4CrE1SNGoe7YD+YTRft44GrgL/M7K/Ntghr+6C0vMdT7jCzeWZ2Hi5y7nOcCD5b0llBsZZNSB2R7kUainTJi+rdUOIeiRm77Ubv++9nu0WLYNEiKn3yCalvvgkffEDK779TacUKGD6c1JYdMo44io+anaGRLGbHPNNfxiO1ZrHnHRVJwJOogvO/8H54Hk/54GlcxNQTUnDeF7LFwA3A5YTVMolrKwueOrYd/dYPp9/4ATkXjB+Qc8GQ07OvvXjYav7XfqNNGJjDV7fk0KZJ7n2a8wnZimQuuAKwPVCNvIJdvGq1ngqMGQtx/nin4LJ68mMChStucTKw6sQH2Qtnw5P4OiSsVsCZwbNdgBcI6463v2PCfrfQ8Od/+GljFi0tx97PtuxdJjem5sbmDMtqDhubE/6pKXVwAStpWTlZvkqmp7h0BeqyKVgFAEnzJM2RND149CxMXyySWkr6XNKs4HFS0H521PbTJS2R9FaCOW6W9KOkrz+aQUMgi5BlSxouqfB+lSXPRKAp4QpRQLBC4SPxyhGSngKOAXYCPpa0ysyiK8j1xQkKsdvdBvxtZk8CrYA75fyqU3An7pcCmNkqSecC7wRixA/AWQWty8w+y6dvoaT5wHIzWx00TwR2Jl7xjbCE0t7DsjoT1n6EzOfIe8olZvYb0FfSXcAA3Pv5Jkm3T4b393UH88Mi4xezIw+nXf1Itco5du99KSn9+pGamppgcqBGDejdG3r3TtM770D/C06h/dJufJR1GC34KXfcnsw5B3cRXlFojyvA4UU8j6ccEETUXIirINkbGB50PYOrQP8EYR0U2BBsfYRsGTHfoTs7C4PBHXbl2z3qsy/uOysL5+sb9yLJk4d4UXdNgQWELFEVdU8FxIwxEncAD0l8Y5bQ63YicLqkSoGtTyJ6rFzHBxuyOBd4zMzys90YDGQTEeKyOenGV8kZ/D4pOLuf/pHtbTc64vyDawM9U0P22l4QP3TQ4ykavYCpedK5N9HTzKYn2C6/PgCCwJt3gd5m9lVQlLI2QBDk83zU2B+AkXHmqAGcgcuYO/2udwkd2ZoNkroDa81sQkEvsBT5Bvcx3B9/bC1RfCReOcLM+plZIzNLM7N6MQIeZnZAvKg9M7slEPAws/fMrFXw2MfMepvZ0qixo8xsTzNrbmYnmsW/22xmfczsoTjtn5tZm5i2Pc2sU9Tz1WaWbmYXxJn6TCy7C9X3MJT+DGHlI3N4PMnHzH41s7OBPXFh4cOXuhSiXAFvOTXplvYly3baS1OnpaRcdBHkJ+DFcuKJMOOndJq235GuaV8xl92iu/cpkRdSdnQCFuMK53g8nnKAGVNwfp+DJeoABGLLRbiT6wJv6G1NBBf+G96ezKdsqvqdBVxYQdKlkk3T4GdsJJ5Ppd06GYS7MfeaRI0EYybgDPXbJpwlrAZA53OeZglQA2dbkmhsN5w1TxrAouXQ/W549BNSLjqMV83sPDNbT1iVCOtO4Etc5e19CNlrRX2BEQqIrnok6DdJbfKZY/+o7X+U9JSkylH9fSX9LOlXScMkpSeY53NJGyXVjWrbRVKOpHeC5+MknRHVP0DSerkbFZG22ZIOLe7fZJsmrMq46NHSKmgRAr42s68AzCzbzP6NHSSpIy4acFScObJxx7F0oGpGOqzZwAbgZuD6Ulp34QjZSuBHChel6ykCXsTzlB1h1UZpD730Szfb//aMlP1vyWw9eDRDkr0sj6cwmNkvZnbWEDimu0sjcu3AhXqKpTV3YfzEdHbbLZ9J8qF2bfhoTBpN9q7GaWmvs5Hcc7qKUMgimk7A14m8czweT9IYAOQAd+W2hCxX3COsOklaV7JY8dEM/mWT8HQjIfMiVOFoAiw1Y01Mm//7bYWYkY0TG2oCTweeiLHMpQUruIeLhY4Xyj1PEkoTqv9HFUI5xpq3JtMNeNksQfGYsFKAB3HiBBPmQLubYP5SmHgrPH42pxLWfoTVAicuXgH0B44iZH+XwEvuGWV5FJ1C+QbQhYKLt8wAOgRBDy1x4stFAEHhv9txRc+aA/WA8/OZayabUorBRU9PiXoeKTAYoRvOx7BTsL/6OA/0ZEZjVWQOx9kHJBKGX5T0vaRnJe1YhL4IewMbJI0ORN8XE4zti/Pn3qzYnpmtwX1evgZOGBziq+tfoTLwgJnlV5CmrJiIu1noKUG8iOcpQ3TPso3Vqg9+fZHGffE17z3dnxe+5OI/H1PDZK/M4yksl0OD6C/Ot/kfr1hPho9Ip3HjLZu7WjUIv5bO7NQW3M0NkeZntmzWsiM4sd8fn0rr8ZQ7zFiO86s9T6JTVNcAXBTaXfG224pZbk6UeBdYga+eVxTiCXZN47R5thLM+BuXsncqMaKT0B4YX/IDNbmOM3GfqUVCDws91G0sS57vw99/DmbwxHupfLaxdwt4Kp/dnQK0MSP1oQ+h653Qfmf47g5o2yzYJYzBiVlZQFtCNrS0o2jN7Asz+7MQ49ZGiS2VgO3YlNnbAxhlZouCgh5PAqflM90LBJHSgdd5TyAc1Z8r4kmqhLMzGsYmYa8rLtIrv7RlT2J6ARMJWTzh9iAzawW0A5bg/leF6YsmDZfZ0w8XxfoX8ET0AElVg3VsblMVYGZDA9H5yJ/+ot4Cl4P3kaTHJb0u6dKCX2qpMQloH0Q1ekoIL+J5yoaw9gc771vOTzvwoK5kZGSww4F303jHyvp7eUpF8vvyeHILvBhwd9rNnHxiNkcemf9GkyZN4pBDDqF69epsv/32HHDAAeTkbG5BtccecO0NaTySdiWrqPYt8EgJr780aQTUx4t4Hk95ZSSu+NRQKfBFdkUcrgTOI6xO+Wy7tbECF2GxFvidUOErkHtiBLuwhBP2CopQ8lRgzPgEJ/Y/fLXuPxrp5tl76qVqq5iCq0wbTVXg0i5fcNnYQ6nZ5wXoPBG6fE/6s8CEGryO1GiznYRVG3hu1To49RHsqpEw6GR490qoVTXPyOq4NL3OhGxOwkW7dNuiWvcUJoIqXyQ1kzQDJ+CswEU8w+afk3ls8piMxwJgUZBOeTjwHbAsqv8boIGkxrjou29xRdm6Bf3dgLHFeQ3bPGFVAU4gQSqtmYvcDgTbh3DRlQX2xTAfGGdmfwWi7ggg9jh8CvCjmf202dYxSEq75Q2OfeysXNH9XzM7BfifpF0K2r6UmISrmJs41d5TZLyI5yl9wkpD6cOoe3D20rRW1KpVy7WnVaV2007Kzs45mrC6J3eRHk+heZ/gBOpb9uO7rLZceU3+54eTJk3iqKOOok+fPvzzzz8sWbKEIUOGEBSg2YwLL4TVqm4N+et5NhWMqQh0wqXr+YI1Hk85JEhzvwiX4nVRVNfLuAu/oYS1rRQ9W44T8WoDS/Md6YklVojYns2r1Xq2Qtrz3a3Pcfa/93Ht+8Btw/twxurqVE00fmJn+L3Z5u01V9LA4FekMUinIYmwjgB++GEBOS2vZ+0H01l39TEMvPEEvk5JIZ7I3o78/DzD2hVSVqG0t4vwEgsbQZUvZjbPzFrjihVWBk4qzjwBz+HSKfsGv0fvZyMuVbZr8PjczH4FGgW+eF1x0XqeonMMLory9dgOSVUlbR/VdBq4oi/59cXhNaBDUJwC4GhcOnY0fcknCi+Gq45rx6xGdViLE9IjEaAWPE8Gc3GVqH1KbQniRTxPWdAfbC/2eyq1zg47sGzZphtIyzdWpfauh2Sj9KcJbzJh9XjKLWZrgWsAPqcrO9XZyP4FHJauvfZa+vbtS+/evalSpQppaWl07NgxoYhXty507pKSs1o1klkWvjh0An4w2xSt6PF4yhdmzALuB+6QqA8QpKFdhCukc1HirSs+QrsIPcBCDuI/+qT3om/tkzlA6G4RJzLIE4/YdNp41Wo9WyHf0eGysxneKCXQBt45MehYXxleOwUuH0Ja1y+p1PwPKjX7i7Q2s+mR/gr3cB1z2D3PXIJKt9/EoQ9fSvifTvxCDh89+AHzWl6P/ljCzLUb2ePe05iEO7dIdHPhCcLaPMInLKG0J6i8QxqWdRxhHR87RFLvqAIUZ0ORIqgKhbkbsa8ApwdN89lUGAacX11Bn5t3gCOA1sBncfrH4SLuuuFuxoDLiDgFaIiL1vMUnV7A54TiejfWA8ZJminpe+BgXPX3gvqQ9Izk3o/B++0uYKKkmcAhwAVRY/cA2gDR3oxxkbQr0PX+ELOB9biovkOCqrY/m9n3RXr1JYU7v5iEF/FKFC/ieUqXsBqh1DtpcUMKNfagY8eOfPXVV2zYsIH//vuP+fPn0/z4Z1JRSmPgumQv1+MpFGbPAv8bq8OWd9w/lQRaHABr165l4sSJpKamst9++1GnTh3at2/Pm2++me8uDjiA1EqV6FKyCy91OuFTaT2eisAduDvjD+S2hGw2MBi4g7DqJ2ldpYpQF1xExJXsRGVqkZKVQsqyymyHq+I3Q6h9cldZvpGohLNNiBYe4lWr9WxtuCqqV0Y3Za2uAVcPJq3BYnTaK7T86kL67NaFgec04bYLG3DlsXuwU/MeDKl1G3syh4PSJjCGTYVSv28Flz8MTcexS6sf+OuqkeyPizY72EbyNxBruZMDbIzTFksPLKs7B76eQtNeOSj9CcLKE4lkZi9GFbB4vogRVAmR1DxScTbwqfsfrkAFwJvA8ZJ2kruTewEFVD4N/OyuAC41s3ivdRzOV62pmc0O2sbjqpNOCKL1PEUhrBq4SLxEqbS/mVlbM2tlZi3N7AQzm1dQX9B/rpmNinr+kpntE4w/yswWRPXNMbPqZlbgzXEz+9XMjkpJoTKwwcz+M7ODg7n7FftvUTJ4Ea+E8SKep3RR2i1Y9nYs+doYf4JtP+Msu/KYVOvarj7HHNic+8+qhqZehlWqnWqkDCCsWslessdTKMzeGV+p+89Nd8k/lfa///4jJyeHF154gccff5x//vmHm266idNOO41JkyYl3K5pU8jOpm5JL7u0CC7s2uNFPI+n3BNUFb0UOE2KuqKGO4kV97YShFKBl4Aa+QyrDbykfG/NbPM0whUWiE6nbQIsJWRr4m/i2UpoAjSIPHmbE1l82C9s/8JlDLq6BgvmpzDzu8oMGwY33gjXXQd33w3vf5DK3/9W4oMPoPqhHenOGM7QSP6jFguD2wUbMuD7u2jIAG43s0ttJOnAcFykGkAm8BMuIuk2XHrqnkAVQpabfiipRXqqJu0/UCO73FuXyX9sB+2GpJBaue7YHxkiKVNS1wSvr6AIqqck/Yn7DHws6ZeovtzoKlw01bTAE28a8A+uIi1m9hswEJcC+wvwL/kX+SDY7i0z+yhB92SgFs4PL8J4YDe8H15xOQFIxYmuFY3KwIZkLyKGSUAjwtrCEoCeCNuK74knWVjWS0A1Fn2a23TWPu4BkGNfM+VLWvz8D60ys5jT5yk2Wig5S/V4ioEVVAutevXqAPTp04cOHToAcNJJJ9GtWzfeeecd9k+QixvMW6qV1kqY1rgTBy/ieTwVADNGSbyHK3LRyowNhGwtYfUHRhHWs4QsXupWReUoIoJAdgr8tgssqwUyqLsYmsx30hTshbt4/zxJ6yzvxEudjVet1rP1kRsNNJiruZbBnHV8Dg8MSaFOnfw3TE2Fo46Co45K5d134aLzTqHDmg781qwbriAnLrTkdi54+wtN+h88DOwI3IDzJJtHyLILscZ/f3+Y6Y3qVd/3p+Zvcu7FlzFx4kRoc0/a0AcuObdmFb5esTb+hoHAltB8P79oJjM7N+r3p9k8gjB67DBcBdl8MbOuCdqH4wTOyPMsXKGP6DFziHyjeYpDL+BjQvZfshdSDDJw6bTliW9xEbP744q1eLYQL+J5SpeQfQl8mag7BegA7CcdgTPWniTpJDP7JdE2Hk95ITOTBb/9xr7kE9Vcs2ZNdt1114T+d4n4/XdITWXxlq6xDOmEq8CWuEqcx+Mpb1yGq/B4NS4KD0L2HmGNwhW5aEXIytsd/eIxe489+bQ7aa+ciU1vRfbavDa8aduvwvb7huzez8NhY5pTz4t4CWiCS2eMPj41xVem3foxW4z0yVAuPPxaBjNkCFx+edGTuk44AfbdN51uhzUj7dAvyZrcBmqujHTveFNrPjh8IWOrZnMIIfuzSEscSUNQP9o+oMqqT2qqy5b45Ldd2HPnepaTs7j56GnmxS1PYsKqg6sEfHayl1JMyl8kXshWE9ZMnIj3WrKXszXg02k95QIz+xiXipcNfCfp2CQvyeMpkJwcvpk0ieyCovH69+/P8OHDmT59Ojk5OYwaNYrx48dz0kknsX79ek488UR23313WrduTffu3fnll1+YNImsDRv4UtKNkuZIypF0YqJ9SGop6QtJsyX9IOk5SdsFfVUlfSNpRvD4SFKzBPOcI+knSdMktYtqv01SfnGynYBvzOJ603g8nnKIGb/j/PEGSOwc1XUZ0Bgn7lVoJDIkBqXs89Pdla8fwmnN9+XJhzP49lt3s+S33+CLL+DB26pzZEY3Us56ibSmfz0kcb7kz5Pj0BSYH/Nd7yPxthGu5+5hV6Y8xM03w+WXF3+ehg1h/Nh0qi9vhPo/ntteYwUs2QA1TyFcWAFPUh1J3Sun6/pfF6d9lrV9B2U17c3FF1/MgAEDyM7O5t7B93Pdva+l1NjOdrytB0cUf+WebYCTgCxgVEEDyynlT8RzeF+8ksTM/MM/ys0DV8p7OC6NcBCQkuw1+Yd/JHqA7Qtm48dbgdx1113WqFEjq1atmrVt29beeecdMzNbt26dvf/++5aTk2NmZo8++qjtv//Blppq2WB9gP2AXXCpXScmXgu7Aa2C31NxvjG3Bs9TgOpRY68A3k0wz++4MvQHAW8EbS2Adwr4W/wKNijZ/xP/8A//KNoDrBLYLLDRYMrtG8n1NpJ1NpKdk73GLXhtLdLT7deMDMsaPNhsxQorkIULza64wkyynPR0mwhWL9mvozw9wIaBfZanfSR/2UiuSvba/KPU//dKT7fJ++2Xk5WZaSXCe++ZgRmfHGYYdtPt2N87YftPIO97LHcN1MOlxt8EvAXMC64Z7LIjWZ49MsWyl063Xr162dChQ83M7Iknnsj9/axj9rQxN6astpHUSfbf0z/K6WMkn9lId/5bIR8j+dhG8mzS17H5us60kWy0kWQkfS1bwcPfYfSUK8xsHS58+SKcD8Z7ki924SmfmPFdejrf3X9/wdFnN9xwAwsWLGDVqlVMnTqVE044AYCMjAyOPvro3HTbTp068dNP85BYCbxqZt+a82kpYC32s5nNDH7PxhkdNwue51hQ2SqohlaDxH572Tg/jarARkkpwBBcZE5cJOrihEbvh+fxVDDM2AhcjKvEd3xU14O4C+RHCVe8Qg8SHdLSmNS+PU3mzCH16quhRn4lLQJ22gkefBC++w7Vr0+H9HS+kfBm3JvIG3UXVqRarU+n3fo5IDOTfR98UKlpgSHT9ddfT8uWLalRowb169fntNNOY8GCTZZXq1evplu3btSrV48aNWrQuHFjrrjiCtavd5Zdxx4LB3bLJPWBa9l9DlwxBOovghd7015SI0nHS7pV0ihJfwGLgA+A84NdPAMcc/ZB7PZQ77RUbdeQc/uEaL3DfC7cbw5MuZwZY4by1vC7OfKAZnz6zXxueCWn6hez9UgZ/t08FQVXmb0bBVQMLueUR088gIlAOi7zzrOFeBHPU+4wxxM4Y+k2uPTa1sldlccTn8xMbnvvPVLefbdk5hs06GFWrTresrK4z4x1xZlDUlXgXODdmPYxuBPgU3AX7fG4FvgUuB5XAe4i4H0zy+8CrWPw89t8xng8nnKKGWOBMPCIRFUAQrYR9/k/Blepr8IgsVNaGh9360aVsWNJa9Kk4G1iadcOvv2WtJ13pmF6Oh9IVC75lVZIYv3vItVqfTrtVo7Eea1bk3XAAdFtYvjw4SxZsoRZs2YhieOOOy63v3LlyjzyyCMsWLCAlStXMnnyZKZOncpNN92UO+bqy9PJ/rg7r3ZqTJ2gjEDzX6l5gDPAfxc4AydKPILzKtvRzJqa2UlmdoeZffBcP35FaR+8Mm7hLyM//Mne+nDS6v16PrL68LMfWf5Ej7lTPr1i8ZSPLl00pdMu65fecnLa3IP2rvxOqf/BPBWRHsAanFBcUSmv6bS/4aox+5TaEkBmFan44daDpDpAdNW3KrhIlrpmm1fCkdQEeBzYHRcp84SZPSpXEOLeqKF1gUVm1i7OHLfiypqfZGZvB23Cfahqmdn2kgYCjS2osiSpC64wRTcz+zxoexL418xu3oI/QaGQtBMuLbADcL6ZjSjtfXo8RSU1leHVq3P61Kmk7bJL8ee55Za7GDx4lGVlfTotK6t6RzOyIn2SPgceMrN38ptDUiVcislvZnZpnP4UXBpKfTO7qIC5GgPPAUcCtwO7Ar+Y2U15x3En0MOMPQrxMj0eTzlEYidcYZonzLg+tyOsEbj0+r0I2ZokLa/QSCgtjY/q16fbDz+QXpjou/z4+Wdo1Yrs9esZYsY1JbPKiomEcBe4l5jxHABhdQXGAfUJ2aKkLc5T6mRkMO/qq2l6xx2Jx0yfPp22bdvy33//UavW5ok0ixYt4rTTTqNq1aqMHj0agDVroGaNHEbmnEbPKM/7d+HuE+E+M1tewi/F44lPWBOA3wnZGcleSrEJaxrwESG7IdlL2Yyw3gWyCdlJyV5KRcdH4iUJM1tqZm0iD1wp8g8TCHgC3gZeNLM9zGxvgsouZvZxzDxTgZH57HoKcE7U80OBJVHPxwFdo553A76J0za2MK9zSzGzRcBhwFPAS5IeCUQKj6fckJND/7Vrmd25M1k//li8OW699X4euP9NLPO9FVlZ1U+JFvAKi6R0nOi9kATpr2aWAwwDzizElA8DV+I+/w3MrCfQSFK3mHGd8Km0Hk+FxoxFOIH/Kom9o7quxqXgl/qNuxLisKwsDh85cssFPIDddoMHHyRV4kqJYsT0bVXUwXkXR0fdNcVFfVSkauqeIiJRY8MGmnbokP+4Tz75hKZNm24m4J1++ulUrVqV+vXrM2PGDK699trcvqpVocXumUyJybI7wV0XLS+p1+Dx5EtYTYEDqNiptFB+02nBpdTuXxEtOsobXsQrP/QFnk3QdyiwwcxejzSY2T+xgyQ1CMa+lM9+vgJ2DSLcwAl6z0X1fw00kNQoeN4Vl1LXNdhHfZwfyqT8X07JYWaZZnYFEML9ncZKqo9UBekspJeR3kC6FqmeWye1gspyz2RkMLNyZf6pXJnFGRnMSUlhZHAy7j1uPCWCGasyM+m6ZAlT2rcn+777IDOz0NtyxhkPcucdYXbYOJzx2cd+YUaBHnixSErDnXj8h4tatai+nWK8JXsCMwuYrycwy8y+x/njRebLAaptGkcqrviGF/E8norPE8D3wNAg6ooguuom4CrC2jufbcsFaWlc3aULWQceuKntlVde4cADD6RGjRpIIisr7z2S0aNH0759e2rUqEGTJk24++678/T37Qt16pBDYhuCbYWmwc/odNomwAJC5iuTb93UBKhbN/GAMWPGMGjQIJ588snN+kaOHMnq1auZPn06/fr1o0lMjvuO9VJYRh7h73vMviyJhXs8heRUYDnwSZLXsaWU13RacPrBTmw6lniKiRfxygGSDgBqAaMTDNkb+FfSK5KmSXpbUrykvT7AB2ZW0N3QEcBZkrbHpal+HOkws404lbybpMrAzmb2AS76JgMXhTfJzDZX+MOqxqvbTefltM2P3iWAmb2Mi/ip1xpmrndVNIcDvYCTgXvn0fSPvVNnf5GSwj+VKzP0wAM564ILaHnnndS96y52vPxydu/enZ7Vq3Mv8Ed6Op9I3mDTs+WYsTQri4M3bGDQDTeQ2bw5mXfeCb/95oS6WP75B554Alru9RsjR17FdtkLqJHdhvP49lhJ30TGSRog6U+ch8Qzkv6UtGPQd5ukC4KhPYGTgH2BaZKmS3o86GuCE79nSvoe9zlOmCoQCH4X41JoAT4C6kiaCdQOnkfYGyfqeRHP46ngmJENXIhLn43+jngSJ/wPLc930CVqZGXR/eKLSYtur1WrFhdddBEPPfTQZttMnjyZHj16cMstt7B8+XLeffddHn74YR55ZJPvfaVKcP75pFWqxOml/iLKNxHl5c+YNu+Ht/WTBYlvUI4ePZoePXowYsQIjjzyyLhjJNG6dWvatm3LySefnKcvc6ORtikB4V8Kly3g8ZQkvYA3Az/Yikx5FvG+w32XeF+8LSSt4CGeMqAvLlU2UfpcGnAI0MnMfgwu2l/DXawDuSm35wCbeWDF4QWccf3qYJ7Yu6eRlNo/2GRU/zXuA9c16I/HQCynFZbdmrBeJ2SfJRhXbMzs+4Ok/V+H+RkupcO1Aw9xOQNS767csHHqgU/cAL16JaxEl7pxI4waBYMH023yZCZLPAzcYFZuw489FQAzNgC3S7w8fz79b72VPgMGUKN6dbJatMBqVM9JzVyXnTJntvH3kkpkpGzgFJvAc3RgPyZHplmPWcdNc9odQFwHGjO7Jer3kSRIpTezb4G2hX8dtgx3ER95vpG8VSuj6QSsw0XveDyeCo4Z30g8DdwvMdqMZYQsm7AuwNlrnEH+Ef/JpD2gLl3yNh5xxBEAfP7555tt8MYbb9C1a9fciuFt27bl3HPP5dFHH+XSSzedUnXpAnfdRUOJHc34t7ReQDmnCbA4puhSU7yIty2wODWV9bNmkXHQQXk7Ro4cyUUXXcRrr72W+1nLj8zMTObMmZP73AxmzxaHsGgxzj7nScz+Ltnlezz5ENbuQDvgumQvpQQov+m0IVtLWDNwacsvJ3s5FRkfiZdkJFXDhe8+l8+w+cA0M4u4bb0EtAv8ryIcjPvQfhy7cSxm9hdOoBsIPB9nyDhcpE434POgbXxU2+Z+eGG1BF1J+4dEg2OyUfrThFUqldy+gO71ogS8bFI4R89zTcoDXDMgg+9np3P++QkFPMDdVe/RAyZNIm3YMFS1Kv3T0xkjUQIOOp5tHTN+MeOyrCzqAQevWsVVX3/NMxM+Xfvqrl8Nz7psyQA+5nAW5dTlResdLeABvJ+kZReXTsDk4nj4eTyecsuNuIqjm24ghGwyLiLvfsKqlWC7ZLN3jRpkNWpU8MAIZkZskbecnBx++eUXVq1aldvWuvWmfWzxKisu8QS7JuRNr/VshZiRnZLClEkxZjqPPfYYl1xyCaNHj44r4H377bd8+umnrF27lpycHKZMmcKgQYM4+uijc8fMmweLl6VzK4N6YHaLF/A8SaAnztfz8ySvoyQoz5F4EPHF82wRXsRLPj2BGWY2O58xH+LSWRsGz4/GeVVFB7X3BYabWXYh93szMMDMfonTNxlX5fZ08op4vYD6bIrOc4SVgtKf6XJnFe2w/83c+knzVJTSFLiW0iFP5d3+PMbLaWcy6r0Ubr0VKhdBOkxJcV43kyaRWqMGHdPT+UDyEaqeksGM9WZ8YcYjZly02qqFhnH+A9cymMP5lJqsjN1kPXB3nKnKM76ohcezlWHGf8A1wIXSpqh/nDdeXnGvfJGRkbFZdkG+HH/88YwbN4633nqLrKwsvvvuO557zt1XXbly03d0lSqb9lFCa62I5BXsXGp1uU2nlXS0pKmBvcQPks7KZ+yxkmZL+lnSW5JqFKYvZo7hkkxS26i26pJWS5oePH9e0oCo/jOCbZpFtX0kqe+WvfqSJzOTUa+/TnbUx4L+/fuzevVqjjrqKKpVq5b7+PJLZ2e3ceNGbrzxRurXr0/NmjXp2bMnJ5xwAs8+u8kG/PnnIS2N5ZD3jqbHUya477HTgNcJJcyKq0iUdxFvEtCGsKomeyEVGS/iJZ+4BS2iva7MbA1wAfC+pBlAf5ygFhlbE+eFlV80Xx7M7DszezpBXyauAEb1iLhoZnOB6sBXMeIhwNlYVoeXX3ld999/P1TaHloNSoWUmwmreWHXVASWRn55mxN5ggt5aWQqUTf1ikzLljBmDGlm7A9cXwJr9HgScQNwF7A2unEhO60BjsJsWlJWVQwktsdFpXgRz+PZ+ngRdy7wRFDABkK2DFet9kLC2jefbZPFmtWrSY3nQ5qILl26MGLECO644w7q1q3LxRdfzIUXXkhKSkqeCpsrVmzax5YuUtLZgXBzYlTb84Fv6XRJkyUdmmDbZpKyg3GRx65BXzVJH0taIml5AWu4WdKPkr6W1DSqfbikzgk2ixXs4lWrLRcENjMjgD5m1gY4FnhKUvU4Y6vhzsVPNLPdgL8JqjHn15eAKTh7mwg9gVlRzyOWNRG64dLUuwb7SwO6EC/rJfkM25CZnRNdt8LMyMzMZPXq1XkeBwaVZbp06cLkyZNZsWIFq1at4pdffmHw4MFUr+7+DStXwtBHs6xS1pqnvKWNJ0nsA+xFxa9KC2Gl4my4yruIlwqUx3OICoMX8ZKMmR1gZpultJrZLWb2ZNTzT8ysjZm1NrODgoqRkb4VZlbVzPKtaGlmt5rZ5XHa55nZ9jFtR5pZ/Zi2+maW1602rB1Q2oPs3l+NWx61qX2PK7DqzUFpT5SoCbYz9K8PsI4M+qU9y9ln5XDKKVs+dZs2cN99pEgMkigN8dHjieRu3YR7H58G9LudAbc04O+qosCiNOWNDsHPb/Id5fF4KhxmGHARzk+zX1TXS8CXwJPBBUN5YubataT++mvRNjr11FOZOnUq//33H9988w3Lly9n//33p0pU+N3UqSBy+Ie61yDVLu4Cg4ir83A3P9pFIsWAjsADgeB0PvC6pBRJhwSi3eVR06wKzgnb4AoAvBnMMQFoDUTbrUT2myscBpFkZwCtgKFAf0n7SvoF53/aPGq7QyQ9FTyNTaeNV622PGHA9sHvNXA3geNd3B6Fs62JZMUMxR2fC+qLx1vAsUFxOICzyXuTfRywv6RKwfMuuAj8rsHzDsASM/s931eWDEwdsq+9O+3mW7OYNavg4YWh/8U5aPUqzWbPA1H5LZrj2arphSvWMzHZCykBIt875VkQ/wNYhE+p3SK8iOfZQlIGU6lWFVrfnrc5tRLqOCwdyzqs79PMlfSGpCGSrpDUQ9J+kupLKvx70J34TiYo3vESZ7KCmtx1T/5TmBkDBw6kQYMGVK1alYMOOogffvgh7tj+/aFBA7IpXIEQj6f4mK3E7BXMnr6F2+8EzaH0UtBLi07AfDO8f43HsxVixg/AEOAuiXoAhCwi7rUmr7hXHpgmkTUupvxWdnY269evZ+NGV3Rww4YNrF+/npycHHJycvj222/Jyspi7dq1/J+98w6Povza8P0kmwDSEVSQpqBioQkiCiqon9gRRcG1oWDvXREVey8oKnYRWcXeBX8oKBYUpCgigiAqYgHpCiTZnO+PdzbZhE0hJNmU976uvZKdd+ads5vNzswz5zzn+eef55lnnuGuu+7KM8fkydAubSHbsOxo4EO0+QJmcM7zFK6iYiNwKbmZYoeTmylWP9ikHnAn8H5Bc5rZdzFBz8w6Aq8Cb+Tbb2tyhUOAKC4TIg2oDWTgSqX/xWVX3xhsVwsYDlwtUQtntRIv2CXqVlshMGd0OAB4XdIvuKzS04JGTfnJ7+u3GGgaZMUVNpaI/3DN446R1A5Xfp4jeZnZb8AfwN6SWgIrgA9xRu9QkPd0xeAWbrxJ2bt/R7/jM/nnn6I3KIxRo+D5F1J4Ous0WrBkX+CQUonS4ykuLtFkIDCOsG2WFUMFJSbiVdxMPHcO4X3xthAv4nlKTkT7QfYguo4MkZbAHmSb/clufao9eFpo+8Z1CQE9cCLFK7jMnaXABkmLJH0iaYyk2yWdI+kISe0lNVDunbkHyb3ry1OhcxkwQGy3XeFh3nvvvTzzzDNMmDCB5cuX06NHD/r06cO6des2WTcUgosvJi01lSHeG89TXpiRDdwFnCTlXBRVBrwfnsdT9bkJWAvck7MkbN8D9wO3E9G2SYprE8xYL/HKiBFkxpfUjhkzhlq1auUY79epU4datWrx6aefEo1GueCCC2jUqBHbbLMNzzzzDO+99x49euRWlK5dC889lcUpmTkJVV2AfiUI8TLgczP7JhYyeTPFMoFZuGyu44CHcf6D+eWS2kHJ7QxJNygQFCXVxPkZvxxbMYFwGLNpuR/3/d0XGAG0w4l/mTiRD5yAN8LMVgGxdiHxmXgtgb8JW3y32gpBILINA441s1bAQcAYSY3LYffP4OxyBlNwA7leweMTM1sP/C1ph2DZpATbJBWhpkA30rLIevUYFq79m332z2RRoTVAicnOhjvvhHPPhZu4gaN5JzZ0TOlF7PEUi67AjlSFUlpHxRfxHF8C+5RqtV41w4t4npIRURopaU9Sc1sjay0sfMY9/v4UVszMeZ7SYHfVrZFVa9koFptZt6BEtybQBneiMhh3cvkD0AjnWXIn8C7wLbASWNNS+jHqTjQBV0o7M9qeQw8v+iP86KOPcsUVV9C+fXtq1arFLbfcQkZGBm+88UbC9fv0gWiUWjiPBI+nvBgL/AVcnuxAioOE8CKex1PlMWMdcDFwisQBcUO3AGuIF/cqANnZ3P/996S99lruskGDBuV0oY1/9OrVi7S0x+ECiwABAABJREFUNL7++mvWrFnDunXrmDx5Mj179swz5333QeaGLM4ij5XwUZsTl6Q9cMJcfFOQe8mbKdbPzNoAJwBPApjZ2/mm+gPY3sz2Ag4G9iP3uHEssAiYG7d+fuGQYN5Hg+y9Q3EC3c84oesHnKB0F7CjmcXeydgNpvzltBWilFbSqXEegacDnYBmZvYpgJlNw2UMdk6w+a/E3SQGWgN/mFlWEWMJMbOpQDNchk8icWASLuOuN3kbyB2Cu+FdETPxci+2W/1K1mfd+Tk0n133iHL33bCxmJLB7NnQs3smw4ZGuZ9LuYE8lTz+utRT3gwEFuK8LKsCscZLFbmcFpyI1wSnB3hKgP+y9JSUKAqtZePyDXx99nq+Pmv9KYOGRO8e8ayNfultO/Dowdl8fdZ6Zg9dj1LXk1o7x8TfzDaa2SIz+8TMxpjZ7WZ2jpkdYWYdAn+++jgR7TDg8j3hk/i6lTnsQZaF6FqEJebq1atZvHgx3bp1y1kWCoXo3LkzM2cm7h+w++5Qo4ZlN2ZZQcbOHk+pY0YGcB9wpkR5ZApsKW1xwrsX8Tyeqs8bwAe4JhfOyytsOeIeEfVKWmT5MGO6xDODB5P1++9bPt/UqXDrLdncnn0NW7MifmhzMwj2wwlACyQtxt0EGQaMTpApNgcnrD2Vf5LgHOrv4PcVuKyv/YLhPM3SChAO8xBkrN2La8bwHM7zbX9c+e19kk6U9Bp0vglWrAeWx21eYTrTmtnzcWXFzwK/4cpedwWQ1BZ3wfhjgs3H4/wJ2wXPzyNXfCtsrDAuBq4ws7UJxibh/v4H4MRbcCLe5cDvZlYKn9zSxbClwOycBS2WkPX1nmRcO5xrb8hg2+0zueQS+N//YNmy3O0yM+G77+Cpp2D/fTLp1AmiM79lunXhUh7Mv5v3ihOLpK3zNXaZLylLgVelpKGSfpSUHd88pog5Y52FG8Qt21vS7GD+jyVtX8C2Z0iaK2mmpD3jlt8sKVyc/XuSQEQpuJL7l4ISz6pAZcnE+waX9e1LakuILxf0lAznG7BX/KIxhdn8biZmtgb4PniA9ArOvLkmwEpcx7httil8njVr1gDQoEGDPMsbNmyYM5af1FRoUj8j5cK/73kA3bMXcAVmyxOu7PGULk/iLuouAm5IcixF0R13AK403XQ9Hk/JMMMkLsSJS5fiyv8B3sT5tT1KRJ0IJ/QbK3fMuHj9enofcggtJk8m1KRJyeaZOxeOOTKTgzWZi3goz9g4Tvh5wGbFZI8Bj8WeS/oG2M7MLpeUhqs8iGWK7QGk40S9bKAxcLRcc68RwEozywyaJxwLzAxKMbvjRLsGwW7ihUOA7YAnJDUN4gEnHEXM7E9JtXElvpcAf+PKaq8HOsCBr8Lt/5ndG3+x25JcEapCYWZ/SToLeDl4D1OAC8zsV3ACC7DUzEaZ2VpJQ4A3A1FzDnBaME+BY0Xs/6NCxv6Q9Cuwysxi3i5fADsQJ8JWNNKj3JSZwusWk69rZMD1t5J9+rOsfm4Qj95/9YoRI+o2AqhVi2hqKrZ+PanRKEpJsaxDmbjxfR6qfUjWh6SSz36sFnNZz7vFicPM/sFlWgIg6QrggEDUBpiIE1qf2XTrTZF0LO58Jn5ZCq5C4kwzmxTs40EgUSu963H/s12AoUB/SbsDHcysop/LVWd6ANtTdUppobKIeGHbQEQzcCLemGSHUxnxmXieyoHZSuCF2NO04FibUcTlQr16zqtv1apVeZavXLkyZywRGZmiBhvTcCdqU5DqF7iyx1NKBGVrDwMXSNRNdjxF0B2YaVbhU/Y9Hk8pYMZC4HbgBikoL3TZCxfixIdLkxddXsxYl5nJgQsW8EfXrmR9sZk9B83g1Vehx95ZtF31DS9HjyOFXO1qPjutDRO5QeJdid1KGOYGoFGQKZYGjMMJeA8C/YGDzaylmbUGfgImmuts3hMn2s0GZuC6/N2Gy6R7A/gUV6pUD9esYqKZtQ7mmQqcFRPwJMWsTWIZfy/gGmwMx2WGzcfd8Ddo0AiW5TcTrjDltIkwsxfNrL2ZdQx+RuLGbjCzUXHP3zazdmbW1syOMbPVxRnLt79BZvZgguWTg+Yl8cvamVn3uOfrzCzNzM7Js3FE9YioRQlefukSkTaO44jRX5KZHmVlnrHmv69k2G3nZ6youzXQFDh0/XrOWbeOC6NRTgE6ZWer9nvZh7c7jPGT8wl4xi78zQM0Y2yJ/5fyZKCa2ddmViy3Pknb4oS3y/INdQGyzCzmT/g4cFTgO5mfKC7JoDaQEQiAD+CyMT0Vl4HA94QtcbfDykllKaeFmC+ep0R4Ec9Tmbgc+BygDQsBimxxX79+fVq3bs20adNylmVlZTFr1iw6d05kiwLLl8PfK9Npy0+xRe2Ac7cwdo+nuDyMu5N2VrIDKQLvh+fxVD/uAX6HuDq4sC3CiUg3EFGrxJuVP2Yszsxkr6VLmdKjBwwZghV1zmAGX3wBRxxB9PjjYb9/P1jyYfRAq0dORaQBb+/Mgh2zSe0DtAC+kxglUUSbrfz7sh444e1l3MVMOnCqme1uZj3MLN4XbRYuUwszex0YCbwVrHshLotoEPB0YEvS1MxSzKy5mZ1SSAwLzeywoJNrrDz3L2AvMzs7EKsiwHfwUke4KPc7P6JYt9oKUU5bJYlIKPQusJiIEp+0llcc7n9/0CmLOS4jlW1xHtbn4DJBmxn2KIAZf5oxwYynzBhlxlgzZpuRgdkSzHrjOiCfhRPf2nADO1CX74APiWinzQlN0r5AQyheFl8CngSuSlD2nKcrcTC+Bud1mJ+rcB2JrwFuxpVcv2dmFVbgrvZEFMJlVValLDyoLJl4ji+BDkRU0ZMWKiS+nNZTeTBbg9Qb6NecJSc1Tlt9+Jdf1g8dcEDhm5133nnce++9HHjggbRp04Zbb72VtLQ0+vVL3FhuanCK2o2v4xeHcQ03PJ4yxYx/JJ4ALpMYaVbxDsQSWwEdcT5KHo+nmmDGBokLgAkSR5rlXDjfA5yKK/U8Jlnx5ceMvyQOAsLPP8/dTz9Nsy5dyOrdm1DHjs6Swwx++w1mzYIJE8j86SfS0tKYB1z4dvZRk9D6Hcj1nPuE4MLc4EOJj3Cv+1bgZIm7gPvN+Ld48dmLwIvFWG9Qvuej8j3PxgmKRc3TqxjrHJ3v+XBguMQCYhYnjkTdaj2ly8lYdD/qtM3m31+eIqJuhC1a9GalRETbACcD1+JKuk8lbO8EOanF8q9LiNkPuAYq8fs6CueT9SMRvYG7oflpYN9TGIOB5wtrNFIQQZn0r/kE880mENZfD+ZsgWvEd6ik23E+jD8FWbSeikNvXGOFcckOpJSpTCLeF7iEsr2omM18KjSyKuPj6KlupKTw9I47csr8+aSlFJJTambceOONPPHEE6xZs4auXbvyyCOP0L59+4Tr9+8X5bd3Z/FVVm7XjPXU/H0r1rc0y2/ikYtEbVyb8jbAbDN+LuFL81RzJJrjOgyeZ7apsXmykdgPV7K1o/+cezzVD4lxQDdgdzNc46qIDsZloxxN2N5JYngJkUjFdXMdUKMG3TMy2NmMVICUFDampfH9xo18ATwPTDej2CfIwfH/Ulwmzmqct+nzZpSf4FKGSKQA/wFnmzEaiP97NyHsfYNLi8BL7fG0VFK77EDXEdf1S+3Wd7g+ureTDXnSfly8jD+BL81saJkE4DKUDgWG4LLthLvQXkbYinCi3uJ9DyHoyhzwG/AEMJqw/ZZ/dUl1cN2a9zKzeQnGJwMPmtmbiXYnaSyuiUvs/7RVsM++uESXMWbWLli3Lq6pS30zK7BUUdLrwI24LNVTzGyQpNHAc3GluZ5kE9HTQEfCVkSLxEpGREfgslLrELZi3UxKKhH9BowibLclO5TKhi+n9VRazHhw4ULS3n678PUkcfPNN/Pnn3/y33//8emnnxYo4M2fD2+8JS7Jyptg9BIDtwd+C0pmTpM4WWKYxLMSUyWWAeuAb3GeNKNL4SV6qilmLMF5E10VXHhWNLrjTM8XJzkOj8eTHC7DZebkCglhi5nJP0REWyUprgIxIxqU+Z2xYQO7mVELV4ZXPzub2hs20MWMC82YtjkCXjD3v2bciuva/Q7OY26mxCGl/0qSwja4DI/48sCWwHrgn6REVHVZBhyZ8bxmP3VePS55fIn+yd6eeya10tx7UpvbWAaWiYAX0c5EdAdOFHsHOAJIxV0rRikf8/nXIc//XgucIPYLEX1IRMcTUY248QHA7EQCXnEws5PMrEWcZyS4ZhQzcVmBaXIVQABnA+8UIeANAH4ws+9w/nix15IN1ClJjJ4yIJLTEKiqldJCrideZcjEA1dSu2+yg6iMeBHPU2kx47vUVF456yyylpfCPeDMTDg1nEn71Ln059Xc/UDGUpodj7s7uDfwHO5k5iZcGc3euIuZGFlU0G5tnkrF3bgLwsR138mlOzB1cy90PR5P1cCM33EdGa+S2CVu6HJga+LFvQqKGZlmrDJjTWllzAV+YOcA7XFlphMkxkskvnNYeWgZ/Pw137Jfg+YmnlLCzP62sbQDO6tm5xtCqaEavPfee2yz4z4cOyK1dqdrmSWpR6nu1GXffY/zdoudz8ZbLqUCE0p1n4kI2wo27XgfwmUDHojzj7wqbixPQ4sYkoZJWoIzzX9K0pKgszOSbpZ0Tv5t8hOUqJ8MjJA0H5eVWGDzHkkNgfOBW4JF44GtJX0LNAqeeyoGh+A6eL+c5DjKghpAlPDml5cniS+A7oHvpmcz8CKep1ITjXLOqlX8M2AA0Q1b0IfHDC652Jg9M5tI1gmkkfPdt1LQ7zq77VUzhpvRGSfcZeH+fxL9D4VwRtAeT4kxYx4uq/NaiQpzcAti2Qff1MLjqe6MxPlaPZLzHRW2pQTiHhG1S2JsScWMuWYcCRyEy2KbJfGUlNAUvzLQEpdV9HvcslZ4P7zSJ6IQSnsqc+v9ss+/838MGzaM33//nbnz5vPGuOf11mVsV7sGL0qletEr4NXgZyIygCmluL/CeBfXqCU/hitVz/HOMrN9zezZTVY0uzVo6lLDzBoHvy8LxvJ0Jc63ncxsVdzzL4NGMTubWS+zTUt649ZdaWb7xzL1zCzDzI4Otu9rZolekyc5DAQ+J2xV8furBpUnCw9cJl4jYOdkB1LZ8CKep1JjxorMTI789FPW/9//EV22bPPnWL8ezjgDe2yUsntnf3TNbvxwM86k+xRge8zez7fPMcABuPLZRHfvNwIDJfYKfGQ8npJyJ7AnzsepotAcaIoX8Tyeao0ZWbjO7QfhLopiPILL6nmkut9dN+NjoCuuc2wfYIHETVKlK61rBfyZr9FSnu6dnlLjgmh2dNdTn6yb2rdvX/r06UOjRo3o1asXNdueQKuOh0d3bso2++zE9qW2x7Bl4hq4XZtg1HANJtaX2v4KZzyQliCGn4DOhO3zcorDUxVxVg99qZqltODKabcgraXcmYm7bt4n2YFUNrzA4Kn0mDE9K4ueX33F323bkvX005BVjCRiMxg/Htq1I3PMGNab0fd9O/wuzG7E7CrMXsASn7SY8QXQA1gFxO8tivtCOg34Guej95jEoRI1NpnI4ykEM6YBH5H4xDpZdMf5u0xPdiAejye5BMfCp4H7JeoDBGU85+LK3wYWvHX1wIzs4ObfzrhSu0txYt6ZUp6SxYpMIsHOldN6So+ImmeTcvuZr+yR0rHrfpx77rkA9O7dm5kzZ2LAqrZ3pK5ZT41PrmdQqe7blUW/BazBHeNj57ZRtqQT7eYzDXeTPEasXPsjvA+vZ8s5AqgFcb5JVYvKlYkXtgyc/6T3xdtMvIjnqRKYMTszk3Zr1vDokCHY9tuTed11MGkSrFiRu966dfDll3DPPbDLLmQedhj8/jvvRaPsYsa7m7nPb3GCxp/knuyk4u5mtgS64Myt9wE+AJZJvBw0xWi4xS/aU124E+gtsXeyAwnoDswxY22yA/F4PBWCq3GZMzfnLAnbVJyP7P1EVD9JcVUozFhvxp04r9PXgMdwZbaHVSTLhALIK9hFlIJrOuBFvNJEoRvfn5FdK/L+HMaPu49enZtw7P7bs/Nf13HkbsvZv1MT+hzSiwfOaERaKOV6ImpQavuOqCWu2/BcnNfz7zgxL0R5+OHFcDcBPoxbcitwEnAerlTf49kSBgKTCNufyQ6kjKhcIp7jC3wm3mYj8360niqGxE7AGWlpnJGZyTYANWoQlWDDBtfpMxRiXVYWY4Gng2ynLdnf9jiPjp2BaWZ0S7BOa+AoXAr3ATjfkU9xdz3fMvN3Fz2JCS7uvgaWmCW/yYXE5zgR7+xkx+LxeCoGEoOBJ4CuZoExfURbAz8CYwnbxUkMr0ISNAS5C3de8BFwhRmzkhpUAUjMAD4y40oAItoO18W0N2GbnMTQqhYR9cKJVXlY+BfNvvmZHod25N16tYhViPxM2K4upf1ug/O8ywAOIGwriKgRzvhfwMHl2sAkoqNwZflXELaXg2Xn4ITviwnbQ+UWSwVD0ta474sYWwE7AtuY2Yp86/bBfcfE2Ab408z2DMb3xn1v1wKWAKeYWbzvZWye4bguwcea2RvBMgGLgIZm1kDSjUALMxsSjPfEfaZ6m7nvCEmjgGVmlhwx1t1Q+gu4gLA9lZQYypqIbgQGErZdoejPi6RncUkn2TgvymvM7KN8sxbns/QqLpuuKe4zsSpReJLOAK7ACY2DzWwGER17wyu89uRkhvyx0jZpVONJjBfxPFWWQPxoCnTGfdmkACuB2cDPZmSX4r62xmVMjTVjchHrNgQOw524HwbUBb4F3saJet/4rp+eeCSOw6X+72bGD0mMIx1XanOuGZuYSXs8nupJ4P/6Ge44u2/O8TWiM3AZeXsRthnJi7DiIrE/cB/uQup5YJgZS5IbVV4klgPDzRgJQETdgK+ANoRtUTJjqw5IqokTH24ys/tLdXKXzTcJqAf0JGx/lOr8pUlE1wK3A6cStjHJDqciIOkK4AAzO6oY674LTDKz+ySlAPOBM81sUjDP3mZ2fILthuO68/4R24+kg4E7gJ0CEW9/4BkzaxuMX48rXR1vZsODZT8C55jZpC1+4SUholNx9g/bBp2Qqx4R3Q4cTtg6JRrO/3mR1CAmuEnqjBP8GgfdmQsk/rMUPD8Ydy37F4WLeD8De+COdxeZWf/+3XRAVjaT37yMIYS9iFdcfDmtp8pihpmx1Iz3zHjWjKfNeN2MhaUp4AX7+seMM4sS8IJ1V5oRMWMA0ARndv0Zzvh6Gs5H71GJPt5HzxPwBi6j5aokx9ERl6rvm1p4PJ4cgmPqubgmDkPihp7DfV88FpRgevJhxqe48sWTgF44v7xbJeolNbAAidrA1uQtnY11q61QYmNVJeh4+gal7THpTP7fAbbFZdvlEfAkHS5phqRZkuZIOi1ubBtJ4yUtCMb2T7QLSXUkTZC0XNKqfGN9grljj6WSEor9ks7QSZzS4kL+/uZnniWivsHymyWFt+yNqNQMxglThSKpGa4JUUz87AJkxQlqjwNHBYJxIj4D2kjaLnh+BvBM3PhUoJmk5sHzXjiLhV7B/pvivje+LPollRkDgQlVVsBzFFVOm+fzkk9sK5b1RYLPEmY20cz+LsbmUVzzjdpAhqSUCd9y64hTABhBRJW1g3u540+oPJ4kYsZGMz4043zcwa0r7qC4L65DV8xH7yTvo1d9CS6Q7wZOlmiZxFC6A6txgqLH4/HkYMZs4CHgTokmAIQtJu51Ia+454kjaH7xItAOuAG4APhJ4twK0PyiRfAzXsRrBfwRmJJ7yoeXgL0ktSmV2SJKJ8jwB/6PsP0cPxyUS74ADDKzTrhMrMcl1Q1WuROYamY7AacDEUn5u8qCK9G7Czg4/4CZTTCzTrEHMAMYW0DE1wN7/bGS4y8cza/AuAdO1ulABzOLbM5LrypI2hdoCMXy9B4EvB8ntORpVmNma3GVFoWJKC8Ap0lqAOxFnFeimWXgvM16S6oB7GBm7wPNA2GwN/BlIEiXPxE1Bv6PqtuVNkaBIl5BnxdJd0paCLwOHFdUFh6bfpY2h6tw3pvX4ETe847ckz9aNcFwpb7vE1HtEsxb7fAinsdTQQgyB78x4wYzOgE7AMNwd8BHA39LfCRxUeCx56levIBLU78siTF0B74q7UxWj8dTZRgOrCfeOyds3wIjgDuJqElywqocmLHBjHuANkAEJ4p+J3FUEptftAp+xnen9Z1py5+PgH+2ghORGiCllnimiFJxpdv7A4cRtu8LWNOABsHv9YB/yBUITgBGAZjZNGApzvM57wRmG83sY2BVYSElyu7JRxSoGTVqT/2Jr6LZvP3eLJ58YnCebLDKSUQtiKhDCbYcDDxvZlmFrRQIsmdQjIy9IhgNnIbLGn4ZNjkXnITLvNsb5+UMLkNvn2B5cspoHcfimhC+ncQYyoOaQEFCacLPi5ldY2ZtcP/Td0tKL2jyLf0smdnrZranmR0A/Av0ff5cag0dhwY8hIaOoz3wgs/cLxr/Bnk8FRQzFpvxkBkH4cpuBwHLcZ26fpaYLXGzRJdK0NnOs4WYkYHzTTpTonGSwuiOL6X1eDwFYMYa4FLgdImecUPDceLe3cmIq7IRWHRcgsuS+h534fmxRJckhNMSWEdeEcaLeOWMQZuPYcVyl72yEliGNJLc8sbiEZGAR4F+QF/C9nWi1cyZpg8AXpf0C66c8jQzywjM8tPM8nT4XAxbVCkwiMKze3IyeMy4qfYZfN69LQvOPJBniWi3LdhvcomoBilpn4BmJhLyJJ0aV258etzyOjjRpTgi5gE4cSe+y/Cv5Ar0BBmW9XFibEKCphe/4JpcJPJFnoTLuOsNOfZCn8Qt+7gYsZYVA4H3CNuaJMZQHiTMxCvO58XMJuJ82tsXMn+iz1JJGdG0AVdNnsv/LV0J4y6C31eS8vH3HI271vUUghfxPJ5KQOCjNzbOR+9Q4HPc3ZDpwK8SjwQ+egXeQfFUep7E3WG7sLx3LLENrqOVF/E8Hk9hvIK72H5MwpXXhW0tcAkwiIj2S15olQszFpjRH+iJ6yA5XeIFKffiuxxoCfyar+FWK/Jm5nnKEqkr8FVv2KkWOTdtGwLnA18htSh44024HZeRM4Dwpl0oc3epEK4a5Fgza0WQJSep1G8iFie7J38Gz8ZMjjxyT7qd+wz/9XuA6c0baWRpx1VOXAUpLam/q6G0p/JnIJnZ83Elx/HC2QBgtpnNK8Y+BgPPmVk0btk3QJqk3sHzs4F3ilHuej0wzMx+SjA2DddI8CTyingDcY0GEwrGZU5ETXGZgFW9lBYKLqfd5PMiKU1S27jn3XB/v8KaFSX6LG02kgYAPyx9hPrrM6ih4FstRfDvRlKAa4lo0Jbso6rjRTyPp5IR+OhNMOM8nFdNV9wdsZ44H73lEuMkwlJOGYSnCmDGOuBh4EKJukWtX8rsHfxMzkmYx+OpFARiz/nAzsBFcUOv4u7eP0okoXeWpwDM+BxXknYCzjP3R4k7peIZkW8hiQQ7n4lXvjwMBTY6aYnLzstFElJ/pPeRFiN9h3QTt+lWnBfVGYTtzSL22QloZmafQk7J7BKgs5n9A2QpbxZga0r+mdjc7J4RwGX73Ei30Z8y5Y1Lmb/vzpx6ewPdgfR28Jq/R7odKZk+wgmRtLukz2rX0LQew7lpmoakLt7+7tQGQzL3ankRP0iaLOnoIqZJ2NAiaPRxTtzz+rhS0jwZWIHv2cnACEnzcZ6HlxYVu5lNN7MnChjLxGVs1o2JRWY2H5fd9VkwngyOx5Vuvpek/ZcnBZXTJvq8pAGjg8Y0s4AHgP5mthKK/1kKxt6TFGt09L2kyQUFKCl2A+IWoE+fjmT8sw46XAMr1sGhufmoTxHRJiX6HodctrTH46kKSOwAHB08DsD5mXwKvAW8ZebvnFd2pJwugdebcX857vc2oL8Zu5TXPj0eT+VF4ibgcqCdWdDFNKK2wBzgOsJ2XxLDq7QEXevPw2XEZAM3AaPMKJMLZInJwDwz3MWcMx1fhyvFrOr+UslH2hWYG3v6D414lf5MYy9mp3VluZoA4i9tN2f9xpSvQ2R+8xNtD2rFr8duMldd4BTu4RErstO9pG2Bn4BuZvZDkLHzNdDJzH6V9Byw2MyGS9oLeBNoXZBQI6k1MMvMGiQYGwP8YmbDihHXAFwzi+sCoaufPcM1p17Nb8cvI+2ofOtHSVl1DqOGPcWZzVJT6RIK0Y4gWykri++jUWYAHwKf5cs2LTMkbVOvFhmrnw698v2K5r3OHLtdKBJ5kUHH9WTyFX+twbLaErZl5RFLtSCiL4CFhO2UZIdS5kQ0AVhC2AYnO5RiEdEcYPd8S2OefSHgKsJ2T/kGVTnwIp7HU0UJutkeDvQFDgPqALMJBD1gZnmdsBSGpIdwomMr3B3eWXFjh+N8EVJwX+b3mNnoBHP0Id5I3aWD/2lmewbjr+KyF5oCDfO1VI+f5wzgClwq+mAzmxEsvxmYV1E6oEk8gMvI2NGs0FbypbnPj4AlZpxWHvvzeDyVG4laOMFuhhnH5wxENBz3PbsrYfstOdFVfiQaAdfhOtn+AlwNvFnax3WJRcBTZtwOQCRHVOpE2GaX5r48CZD2Az79iTZcr1t5XccRShN7dTE6dk2jWdBL9M8/YcYMsqZPy07J3Jid0tfe4lYbyi7Mzz/jD8DuFOMCUNKJwFCcWJwC3BE7DwpEvjG4JmwZwAVmNikYuxlYamajguff4qxgtsV5rk0yc4JKkN2zFGhvZoWV8cUyeN4CDjGzDYEB/6uNoGNPaPkqEEvxzSKVRzmPEWlXsCizJTvuaBnduilt111RrVrw338wdy721Vdk/vIL6Wlp/JyZyd3Ak2ZsUalgsYjoeODlhW1fZNDljzBmzBi6du1CuyZrLT0l8+dJc+lu5oW8LSai1sDPwJGErepn4kU0GZhL2M5LdihFElE9nNdqzCIg9j0zFvgS1616BmErl+ucyoYX8TyeakBw5743TtA7GtdCfgnOLPstYHLQOCEJsWl/nP/CZ8AxMREv8Ej5B+hlZt8Gd3HnAU3MbG0Rc76LO0m8L3h+MPAtrrtrYSLez8AeQBfgIjPrL2l34DYzO2YLX2qpIdEC956dY7bF3caKs79U3IH2KjMeK+v9eTyeqoHEYcD7wGFmjAcgopo4cW8WYeufxPCqBBI74nzOBuCOo1eY8VUpzZ2KK80aZMZYACLqg7PuaETYlV15yo4/tV2Tpxm89NaUG0I7thGXXZ3OCSdA3QIMNf79F159Fe6/K5N5P8LQ7Fu5jtsI5dWlDsJ1jK0aSFMgt5HObDpwemgMc2x3zj43lbPOgvaFWPXPmAGPPw5PPYWlpjIjM5NTzPihzOKNqB5K+ymz+YmNj7rtL1166aX06tWLjIwM6q4czxM3n8DtbzFh8TI7tMxiqC5EdBWuhHw7wpaU65xyJaIvgS8J22XJDqVYRHQKsBVOsPsTV2l0OGH7IKlxVQK8J57HUw0IfPTGm3Eu0BzYC3gO2A/nQbJM4iWJE8vbR8/MPjWzJQUNQ0489XCiXqF3ZCQ1IzBgjtvHxEI6nsUTxflJ1AYyJKXgPCIuLsa25YYZvwEvAFcFF1llzW64TE7f1GIzkfSQpMWSTFKnfGM7SfpC0nxJ0wLBONEcvSStj+tQN0tSrbjxwZIWSFoo6Ukpsd9Y4LOTIWmbuGU7SsqW9GbwfJKkk+PGh0naIKlm3LJ5kg4q6XviqT6Y8QHwOvBIkJkHYduAyx47jogOS2J4VQIzFpkxEOeZJ2CqxIuBvcaWsh0uCz7e6yxRt1pPGSCR3jz1z1E3pd4SuuHWGsyck87gwQULeAC1a8Npp8E336Zx+91p3JF2A8elvMEGasSvVhqfjYpEzuv5kP9j39Sv2KrLbsz+LpWHHy5cwAPYc08n4s2YgfbYg46pqUyT2L+0g5TUUtJJb0zjswyr2eTUh9eqb9++9OnThxo1alC3bl1o0Z+Tjj0omh6iNxH5RnVbzkDgtWoh4DlqUsR1UoUibGMI2+OEbVqQmb+Q9fSkgPNYTy5exPN4qhlmmBnTzbjejA64jqM34EpQx+AEvYkSF5ZzB7x8cZrhMgtel/QLLsPgNLMiD8SDgPeLKdrl5ypcV8VrcEbR5wHvmVlF9BK8G9gJ6FcO++oOrAe+K4d9VTVexWUIJPoMPQ48YWY748rBnytknh/jOtR1MrP1AJJ2wJkD7we0xZUrnVXIPN8C8b4wZ+C61MWYhOviFqM3MAv3GUBSU5yB+eeF7MPjiecS3Ofy6pwlYRuP+98YSSRXkPaUHDOm4r4HjsM1vJoncW9grVFSYk0B4kU81+gi7Et5yhIJpaYyOi2Nvh9OTOHaayF9MySdUAguvxw+mpTK5FqHcVLKS/F11j+XfsRJ5WeAr+jG0Snv0u+ENCZNCbHrrps3SceO8MUXhI48klqpqUw4Q88cjnQs0uFItTdnLjl2lXSWpDHBeewve7bmuaO70P6c1zvQcc9unHvuuQCsXr06tiGT1g1I3aOF0ilGowlPIUS0C9CZ6tGVNkZB3WkrNq4Zz1lcSkOGMBTYiPQR0pHJDq2i4kU8j6eaY8bPZoww40CckHc6sBJXnrNYYqbEcIk9pRzfgjJHUggYBhxrZq0IsuskNS5kG+FEiWKVmObPkjKz181sTzM7AHcRdBswWNLvksZLuq2Aea6WNDfIkJoatGmPjZmk7+IyqPYrYI4zgjlmStozbvnNksL51w9KPd4ErimHv0t3YJpZjtmsp5gUlGkaZMN1xWVUArwGtAjMwzeH/sDbZvZnIHyPAk4sZP3R4HwNg0zTAUC812OOiBf4De0APEmusNcLmGpmibqfeTybEGQOD8d9V+0UN3QpTty7JhlxVUWCm3Sv44zCr8Dd1FoocYlESbJ6WuF8ipbGLfOdacuHU6NRBr7xBqm9epV8kh494M13QrxhfXnC3d/5Afc9X5V4dC11CIde4YBeKYwek0paCfN4ataEV14hpfteWTW+DvV4bz01X8N1Nf0D6S6khNUPkkKSuki6VNLrOPuWubhqjqa4jp4HTb01/cMPZkHk7S/4IHK7HdChnvXr0cg+vr9bVue2tW3/9vVsxJ1X2n2n1TGUeoPPxtsiBuD+DpOTHEd5UvlEPHft9jzwOH/TKLYUOBB4B+nKpMVWgQklOwCPx1NxMGMFTlR4IZ+P3pnAjcBvUo6P3idl7KPXCWhmZp+62Gxa0L68My5bLhEH4FLJJxRzH6/iMto+i18YmCc/jTsBWIvrsNgS+EtS75h5c7BuJ1zG3u5mti4oRRwJdIubcr+CfPjiuJ5cP76hQMyPr4OZ3VDANncCXwEHU/B7Uhp0B94tw/mrIy2AP8wsC1zmqaRfcZ+znxKs30bSDFzJ97Nm9miwvCV5s/wWk5s9k4jfgD8l7Q00BKbjRPsYXwHNJLXACXhf406An8EJMb2BquOl5CkvRuAEpZESh5phhG0JEd0I3E5ELxC2BckNseoQHJsflhgDXIs7VlwocQ3w6mY0v2gJ/J6v821LnD+tp4yQaJiayqMXXgiHloIrWu/ecM014tK7HmLr7H8u6G+vVrUsypcG8/S1q2s3bf/cCyFSt9BkJC0NXngxpI6778hdWVcznJvA9fa9CnfcPCuwmOiGy37dH9c8rQ7uePoZ7txyCjAjT8feiKJH7smiDc8Z7vQyxkr63ZwvEGNuNSoDLV0iEu6G5iuErewblVQcauJ8TCsTfYCTCxm/HeklzDfCiseLeB6PJyFB19PxwHiJ83HiUqwxxvnAGokPcILeB2al7o/zG9BU0q5m9kOQodQG+LGQbQYDz5kV74AdEwjdTaA8nAOsM7M3JR2Nu5PXE1iIO0nLMw2uIVptnE9QA1zTkM2lID++MwuOn68lPsZlspSJiBd4JO6Gy4r0JIcZQHMzWy2pOfC+pOVm9nIJ53sG97/SEHgC2D42YGYZkj7HZdztAEw2s4WSmgcXLb2CbT2eYmNGpsS5wKe47NFXgqGHcJmhI4noUF+iWboEx+WrJR7DZZa/DHwpcYUZXxRjikRZdy2BD0s1UE9+zqxRgxo33eSeXHPNNbz33nv88ssv1K5dm169enH33XfTokWLnA1at27Nn3/+SSiUe2n30ksvceSRrhrtuuvgkZHp0ePXvtrTqtiNGGF1U1Npc/tQaNrULSvOexbj119/pX379tStW5clS9zpW+vWcNFlaTxy58VcnXUXtQJdJBuGdJA6Ax2AdFyW6qc4u4BPgblmll1gsGH7BPik1F68pyDaA+2AIckOpJypfJl4cX+jf9mKWXRiFp34hVZkEaI2/4aipN57hxgOzCvtDuyVFV9O6/F4isSMbDOmmTEs8NFrg8vM25ZcH73/SVwgFZoFtAmSHg8y7JoDEyT95PZpf+G8vV6WNBt4A7jAzH4NtrtZ0jlx89QHjsUJFPn38V6wD4DvJU0uJJ6GwJHB7/vihMzdcHdhmwbP494bm40T234O9nEpcGG+aT+SNFvS/SrYV6Wkfnx3AAdKeTL/SpO9gp+l0u2wKiPp1Liy6dOLWD0mUoeCbUUBZWpmtsbMVge/LwFexN39J1g/3ruydaI58vEm7s5nR+CjBOOTcBl3vcktQ5kKHI8T/PxnwbPZmDEF5/v4oISz5g9bJu677hCcuOcpA8xYbMZJuO/zDOBziVckiirfb0X890lEqbgs4oroE1tlSE/nvCFDSK1Xzz2XxHPPPcfy5cv54YcfkMRRRx21yXYjR45k3bp1OY+YgAeu4cU55yo1LY3zytMapZwYkJpKjTPjbnkW9z0zM04//XS6d+++ydj558Mqq89b9M1ZlgI6y910PQt3LtzczE40s0fNbE6hAp6nPBmIO8/6MtmBlDOVUcRr8g17MoSn2DZ1OT35nOtqP8hHu1/MF53P57Udr+LulGtPAOamp7NQ4mopp+y2+mKBgYZ/+Id/+EdJHmCNwE4BewVsLZiBzQAbDtYZTMmOsejXwGKgU75lvXF3S7/Blcd+DxydYNsdcCcJzYLnFwCfxY23DH7WxgmejxYjnhY4QS8V5004DritgPdfYNPBXi+jv+/1YL8k+29U2R8FfMYmA4OC3/sD0wvYtimQEvxeF9dU4ozg+Y64TIDtcB4ib+PE7kTzTAaOCX4/Fjg0+H0Q8GbcevvgLtwXxS07C5gPfJjwNY5lO3up5tc2lnOT/V77R8V9gDUBWwF2X56xsTxjY/ndxlI32TFW9UdwzDgabB5YBtiDYFsXsO5ssDvi/k7b21jMxrJfsl9HVX0E/yP2/vtWIDNnzjTAVqxYkbOsVatW9uSTTxa8kZl9/LFZcI7WItmvs5Tfs2f3398yC3vtid4zM7OHHnrI+vbta88++6xtv/32m2zXtcNGu5AROW9c8Lgq2a/ZPwp5jEU2lkU2lnuSHkv5v/ZMG8tJSY+jmA+whn0YPwfM9thloz34oNnChWbZ2ZaH9evNvvjC7PzzzerUscxQyFYG154V/hqzrB4+E8/j8WwRZqwwY4wZxwNNgMNxPlpn4coAF0s8LHFwCY21k4KZTTKzA8ysC84TrxnOpDg/xwHfmVnM+PtZoEfQFAALMgfN7F/gUXIzqApjBHAZrnSxmZkNAJpL6r1pnBguG6+fxGb2YisW3XFZWJ4SUFCmacDZwNmS5uMyME+P2+6poJQbgs9YkJE6FSfwPgtgZotwWbGf47z0luG63haKuSYu4wsYnoYrtf06btknuG7IicuwlPog2Zl7odQHiGizsnE91QczluE82i6W6BA3dDVQC7gpKYFVI4Lz/7dx5WYXA2Fc84srJGrmWz1/dnCibrWe0qULQNeuBa/w4Ycf0qpVKxo2zNt4eOjQoTRq1Ig99tiDu+++m8zMzDzjcXN2KcV4k06NGuyz996FW0Qles8WLFjA3XffzahRowrcbq8e6XyTtkmW3vtbEq+nzNkLd4O9OnWlhYhScFZplSITT2K3tDTmTG90yC5jx8K3P6Rz8cWw446Q3+WoZk3YZx8YORJ++43QkCHUl3g+JYWxlenasjTxIp7H4yk1zNhgxgdmnIMTLfbGZZ/1wgkPf0u8KDFQon4SQy0SSU3jnl4PfGxmiRoOLMKJdjGvvCOB+ea8xRpK2iqYL9YJdGYR+x0A/GBm3+Gy92LeD9ls6scX401cltRVRb6wzSAoufEi3hZgZmebWXMzC5nZtmbWNm7sRzPbx8x2NrOuwd88NjbEzN4Ofh9pZrubWcfg53BztzBj6z5pZm2Cx2CLN9HOG0svM3szwfLnzOyYuOdZZlbXzAbmi1VmducmE0d0MBYdQI8XYasWKSj14c1+ozzViSdxGc6PScF5aNiW4YTsi4ioYxJjqzaYkWnGY0Bb4BHgFuAHiRMlUiTq4Txe4wW7WLfa38s73mpEAwkaN048OHHiRG666aZNhKfRo0ezcOFC/v77b0aNGsWjjz7KsGF5rWzr1oUaNcjG/V2rDGY03GabgscTvWfRaJTTTjuNO+64g+22267AbZs0gZXaOn7Ra5jN2fKoPWXIQNxNzRnJDqScqRH8rPAinkS7UIjPO3dmm3k/KhQObyrcFUSDBvDYY+iDD6BGDU4IhXhVYgvb2VQ+vIjn8XjKBHM+el+b89Frj7tQuAlXGjgW56P3ocT5Eps6DZcDRWRJ3SxpXrCsFXFm/vn8+N7AlTBODzKlYpkN4Ex1pwbLvwO2Bi4pJJ6GuKYhtwSLxgNbS/oWaEQ+P74YZkRxndBOLuX3sm2wXy/ieTZB0hRJy69+KeUVtj8qSsvjmZR5bto+N0SP3ra+vpP0saQ2yY7TU7EwIxs4F3eDYFDc0FO4bsmPBhkFnnLAjDVmXAfsjDPmH4v7zu8XrBLvf9cS+J2w66rtKROyzCCaoD3Xu+++S//+/XnhhRc4NF/b2gMOOIC6desSCoXo2bMnw4cPZ8yYMXnWCeYVztOtyiCRlZnw1lXB79k999xD48aNOfnkwppiQmYmhFxz5igwGjiltOL2lAGRnBvmL1XDRkmVQsSTqJmWxusdOlDno48IFXTDoij69IEPPyTVjCMo5SSGyoA/SfJ4POWCGQvNeMCMXsA2OFFsDXAX8KvEDIkbJTqVl+lyEVlSZ5pZOzNra2anmNmquLEbzGxU8LuZ2bXBuh3NbF8z+yYY+9LMOsRlUJ1iZisKiWelme1vZhuC5xlmdnQwR9+CMqwCXsB10b18y96VPHQHMikie9BTbQlfdjif1kxTfbqOTAVou/eJfDTq2Oy/RqU13K4+D5MrSHs8OZgxA5f9dbeES3MJW0HinqccMOM3M04DugJrcU1IwHVfj5Gw+Y6nVFkEMG9e3oVjx47lpJNOYty4cfTr1y/RdnlISUnB8mkYCxdCVhYCFpZatBWAaJT5+d8vKPw9Gz9+PJMnT6Zx48Y0btyYCy+8kD/++IPGjRvz8ce5rhE/zDXLyEqZBbTEbBBm68v21Xi2kJ44+5vqVUrriNkhbEhqFEVzUyjEzq+8QqhOQfVFxaRnT7jjDlIkbpGoVln8XsTzeDzljhn/BD56/YHGwBE4H66zcYLRzxIPBT56aYXN5XGYsRG4HzhTooT3tTahOzDTrMKfEHiSgI2lxu7NdbS26y1qO6usFi1asNU+D6eQkr7d8OM4gSqW8eEpVa4HsnCeno6wzcQ1ErqbSN4aNk/5EAisB+P+DtnA14GvbRNcVrrvTFu2fJeSQsaXcT01R44cyQUXXMC7775Lnz59NtlgwYIFTJkyhQ0bNpCdnc3UqVMZPnw4J554Yp71pk4FiShV7MZcVhZffPopGfGaZVHv2SuvvMLcuXOZNWsWs2bN4uabb2abbbZh1qxZ9OjRA3CZi599rqwfs3ceR67vsadiMxCYQ9i+T3YgSaDCZ+JJNEpN5eJbbiF1xx1LZ87LL4ddd8VSUri6dGasHHgRz+PxJJXAR+99M84m10dvLHAgzkdvmUREYkDg0eMpmCdwB+8LS2k+74fnSUxEQqFRqrktNM5n+r1VM9a2HZ76zCcMvORQXktOgJ6KjhmrcQ18zpTYJ27oBlwG8Kb+i55yIWiYtA6Yg7N4OB746Y9V23XdkFHDixlliBmZEh8+8ww5JcsXXngh69at47DDDqNOnTo5jylTpgCwcuVKLrjgApo0aUKDBg04/fTTGTJkCHfddVeeuZ9+mmhqKpPNqGrZZO8vXkx6vPBZ1HvWpEkTmjdvnvNo2LAhqampNG/enBo1nBby4YewfDlpwAdJeE2ezSWiEO67qjpm4UElEPGAM2rUIHTmmbkLbrrpJtq0aUP9+vVp3Lgxffr0YdasWXk2+vbbb9l///2pXbs2zZo1Y/jw4TmZxikpcOWVhMw4QaJgg8sqhhfxPB5PhSHOR+86M/Yg10evGRABlktMSKaPXkXGjHXAw8CFUoFNMApEonksi09iK6AjXsTzJOYELOsgtTk9FeX1E16/fj39rv6A68I7RB84NXQlkeLaFXuqIS/iOh4/JgXdJcO2GrgUGEJE+xSyradsaQn8asYTuM7UD9ZM27DdtePuGCxxck5TEk+pE41y39SphD7/3D03MzIzM1m3bl2ex377uWb33bp1Y/bs2axdu5Y1a9bwww8/MHToUNLScgsZvvkGJk8mNSuLe5PxmsqYL9LSmHnHHWTHFhT1nuVn0KBBLFmyhNzt4c47iaal8YkZs8v+JXhKgQNx1T3jkh1Ikqjw5bShEH2OOoqUenEpGQMHDmT69OmsXr2apUuXcsghh9CnTx+igTHo2rVr6dOnDz169GD58uVMmDCBp556igcffDBnjuOPh+CYdED5vqLk4Q/AHo+nwpLAR28ILjsg5qP3jcQNEh3Ly0evEvAw7m5czn0uicYS2xa2UZDlOAeX+fgXMBFIBepItPDvryeHiOqjtIdp2Bmy1sHqefDbm/Dbm2QsfIVjD+/B6Ud34OjjTkrFsvYFTkt2yJ6KSZDxdT6wW/AzxjjgI+CxILvCU/7k+N+ZsdbG6r6GtVfx78ba04DngWkSvZMaYdXlk1CIT049lcx//93yydavh5NPJjMtja+AD7d8xoqFGZaZydB33yXlxRdLZ84nn4TJk0nJzOT60pnRUw4MBKYTtp+KXLNqUqEz8YLriL27d897PbHLLrvQsGFDwInvqamp/P3336xY4SzEX3/9daLRKLfccgu1atWiffv2XHnllYwcOTJnjtq1oV07MnHVXNUCL+J5PJ5KQeCj97wZx5HrozcdZ4Q+i1wfvYOqs4+eGcuBJ4HLJXpKPA8sBeYVkTmxFlfCBk4wjWXAPIG7kFspUbSbtqc6ILD00+6YyT33P8zzY8dx8GH9YEo/nrjlBL78eiZPjnqQXifeynnPQmY0pXayA/ZUXMyYB9wD3CLRDCDoKhgT9y4ozjySakgaKWmBpO8kvRA39pCkxZJMUqci5hkczLFQ0pOS0oLlvSStlzQr7lGrgDkeD2L4WFL9YJkkfVCJOjbn979rCfDEkLMvBzoBy4GPJd6R2LX8w6u6mGFZWZz8669sOP10srO2oBdwdjacfTa2YAEZmZkMDLpDVznMGC8x8swzic7cQse/qVPhoouIAneaMaVUAvSULRHVAI6l+pbSQgUX8YBaWVnUbZPgCPjee+/RoEEDatasyWWXXcall15KkyZNAJg1axadO3cmFMq9n7fXXnuxaNEi1qxZk7OsXTvSge3L+kVUFLyI5/F4Kh35fPS2x3m3RXCp9BOBvyXGSpxQ3Xz0gjLY33HvyxTgRFx3wa0KO3kPMmLeAQq6XKiP8yz0VHfCtgrLajz6HNK/v5v0RQ+SPnEo6UD6BYeQvupJ0icPI33Gz5z61CQ21Dg1+1jJNynwFMptwApccx5H2H4E7gZuIaLinJjfCRiws5m1B66IG3sV17Ww0KYMknbAdVTeD2fnsC1wVtwqP5pZp7jHJt5ikvYAdgpimAycEgwNASaZWYXvDBqUNm9P3k60LYOfv5rxrRl9gENxYt93Eo8VlfHtKT5mLMnKot9rr5F13HFkx12rFpt16+DEE8keO5ZoNMoJZiwu9UArEGZctXEjUw44gKyPPirZHO++CwceSDQri/HA8NKMz1Om9MGdp76c7ECSSEUvpxU4D7v8HHHEEaxatYp//vmH++67j332yXXSWLNmDQ0aNMizfixzL17EC4xbqo22VW1eqMfjqZoEPnpfmTE08NHbCXcR1hzntxTz0TtPqroilES6xP3AX+Q1hI/duvqvGNN8gCuhzU8U916OTDDmqY6ELYuwZRb2WLPexmRG6WHuf3K6pA7JDttTMTHjP1xDngES/xc3dBuwDLivsO0l1QYGA9dZ4HZtZn/mzm+fmtmSgraPoz/wtpn9GcwzCncjZHPIBGpISgFqAxmSmgbz3F/olhWHZrhrhHgRrxWwirDlXDWZMQHojBM6+wI/SQwLbiZ5thAzPsrO5uD332ftTjuR9dprzqutGNvx9tuwyy5kvvYa/2Znc6gZ75d9xMnFjPVZWRz+33+8dfDBMGQItnx58bb96y84+WSyjzoKNm5kbDTKsWZklG3EnlJkIPAZYfst2YEkkYqeibc+NZUNSwo5Ejdq1IiLL76YIUOGMHu2s6KsV68eq1atyrPeypUrc8Zi/PILmcDfpR10RcWLeB6Pp0phxk9m3G/GAbgsijNxPnp3A79JTJe4vgr66DXDmcHXIfF3+7pizPE/XCZLPFnATOCMIFvP4yk2ZjYD6IoTA76UdHySQ/JUUMx4B3gLeEQKLkbCth64CBhARPHiHpI+lPStpFnAp7jvuKGSpkuaI+nHYHyqpI4F7VfSkZLmSVoAnAP8GSzfAVfm203SHFxWThtJMyRNk3Re3BzXS/pe0lRcFsQkYAYwAPgJeAC40sy2oDCyXGkV/Myfifdr/hXNiJrxDE6svxu4BpgvMUhKeFPIsxmYMSUri52WL+fF/v2h7Q7R6O23wxdfuEy7GP/+68pA77oLdmkbze7bF/76i9ejUXYyo4R5aZUPM9ZHoxwPnPj886xo1syywwOjvPEG/PJLrghqBosWwauvwvHHRWm+vWW//DLLgH7RKKd5Aa8SEVFt3E2E6lxKCxVcxDMjOzWVGV9/Xfh62dnZZGZmsmDBAgA6derEzJkzyYrzFZg+fTo77rhjjoiXkQGzZ5MKTCur+CsaXsTzeDxVFjOWmzE6zkfvSNyF1fk4H71FEiMkDqzsPnpBmUwYd/BOdKG4thhzrALiD69R3F2tI80qbHq+p4JjZn8DBwPPAS9Lum2qVBPpNKQJSN8ivY8URkqTqCkxUOLRGjWYVqMGy9LTWVWjBktDIcZL3C6xTxUT4T2Oi3FZ1FfmLAnbu8CbwCNEVDNu3RPMrIOZdcLZKTQF5gL/F8yxTfD7lcDYRDuTVAd4GjjGzHYC/sXZMoDzEj0Z+NPM9gB+AF4wsz2BfsA5kk6QVC9YrwPwKHChmQ0L9vs+UBf4DVgs6VlJr0kaUOJ3qHxoiTuO/JFv2SYiXgwz/jXjFlwZ8nu49/UbiYPLMtDqgBnLolFOBTp1/uWNn+67cTU9ekC9ekb92pk0qJNJ3brGPvvAndetpf2iNxcDXbKyGGjGX0kOv9wxw8x4KTOTHbpkTr114WuzOPZYaN0aateK0qheJlvVjNKmDZxwfDZ/vD2N3aLfXpOZSRsz3kx2/J7N5ghcKemryQ4kydQAsglX3JtFGRl8/PbbZGbESeQjRozgr7/c19SyZcs477zzSE9Pp0ePHgAce+yxpKamcuONN7J+/XrmzJnDvffey/nn5/bCmjABMjNJgerjYek7fnk8nmpBIEK9B7wncQ7QDTgad/fuImCVxPu4TJDxZpTAgSa5mPGixLc4b7sW5P2OL+7reQf33qTgysIOq44XAZ7SxcwygfMlzWoAj9SH84AGcau0X0udwy7lgTvTQtYgK6o6XbqQtddepLVtC+npsHYt9b/7ju2++ILev/zCtenpLJC4GRjrs0SrBmb8EvxNb5SImLEoGLoEJ9BdibNLwMxWxW0ayzwYiyvv/BtYDbQ3s4mSWkraM8EuDwNmmtm84PkEXLMkzGxjUAb7q6RUnLfoumBsiaQXcd557+FsCNLILZ/dCrgeV0L7Es6v6VrgE+AFYLaktxN56lUQWgJLzIjmW/ZtURua8SdwtsRDuMy8/0l8AFxlxpwyibaaYMZsdPxH2VnaZTGtmWWd+Oe/rckmhcYspyOz2TG6iBRsMi4Lulpjxlq077NkccMa6vItHViwcSc2bqxBTTawM/Npz3fUzVpnwHOYlUIvYE8SGAh8TNiq+7lqTSquH16MJ/75h6HjxsEpgVvs//73P26//XbWrVtHvXr12GuvvZg4cSJNmzYFoG7dukyYMIHzzz+frbfemnr16nHOOedw6aWX5kx6771khUJMzsykwnvOlhay4pgreDweTxVGoi1OzOsL9MBlIEzCCXpvm/F7EsPbbIJmHqNxryeWrfRhYERe1LadcdmKAEcHJW4eT6nxs/TODi4rNof3OYyzQs+wfqutufzqNAYNgmbNEm9vBtOmwSOPYGPGoNRUJmdlMcis8KYFnsqBRDpBx3FcFrA7UY3oauAmYHfCrjmEpOeB3sGmvwG3Ap8Di3HffbsDXXDf5cfhPOmOMbNZwfaX4xphnB083w34HpfJtxR4GycK1gbmAYeZ2SpJdYHxwNNm9kxQWnsWrhT3NJzYOAUn3r1hZv+TdD8wGyfi/QDsZWarS/GtKzUkRgG7BrYUjoh+BUYStrs3c66DgHtxmYrPADeY5cnw82wOUjfgqyLWOgCzT8sjnEqB9AmwfyFrvIfZkYWMeyoqEdXHeUGfT9ieTnY4SSWic4DbCVujZIdSGKEQLzRuzIC5cwk1KoVIX34ZBrjc9oPM+HjLZ6wc+HJaj8dT7Ql89O4zY39yuxH+h7vwWCIxLfDR61AZSviCLMJjcReSsTs1xf2+/x5XRjvGC3ieUkdqtAN5GhfwKOdyJO+y/3FNmPdTGkOHFizguSmgWzcYPRp9/jnssAM909KYLtG+rMP3lD2BF9V5wOHAMXFDDwALgYeIuD50ZnaqmbUAhuGy8a4EPgP+wXXpfhs4BFgJPIET5yZI+ilu3v0lHR38vhj3nfkpzsvub2AH3HEhCsyTNBuYivMQfTaI49GgW+2hwT6a4zIBewNnSboIeARn5fAdMKaiCngBLYnv5BtRom61xSLwY+sCnI7LfPxJ4kaJOqUTajXD7GvgqULWGOsFvE24jIItRVbifBw9lZO+uPPbN5IdSAWgBhXUDy+eaJSLV6xgxemnkx2NFr1+YSxaBEOGkJWSwhPVScADL+J5PB5PHuJ89I7F+egdhcsKOR+XRbFI4kGJ3lLFtSQIPGHuw11EZuJeS3HoiCsNu6OsYvNUa1qSa77MWMKcz6PcfEsKY19MpUmTzZtsn31g2jRC3brRMBTiU4kWpRyvJwmYMRmXsTYiR+wJW7y41y/v+jYa6A70N7P2ZtbWzHY3sy7A5bisvO5mFjKzbc2sbbDpr8AvZvZ28Lw1sNTM2gSPwWaWaWYZwBXAMjPrGMw9PNYJN4akEO7mzyVAG2CcmR0fxGtm1s3MdjOzW0rv3SoT8vvfJepWW2yCLvLPAzvjOg5fDiyQGOKbX5SIs3A2IPNzloT4FSdWnZqkmCouZt8A+wCvkesZnIErde+OmS/zrrwMBCYQthXJDqQCUBnKaTHjn8xMBrz7LtmnnopllLCFzLx5sN9+ZG3YwLzsbC4r3SgrPl7E83g8ngIwY70Z75pxJu4iZh/cSd8hwMfA3xIvSBwvUTeZsRaEGZ/gGl50lGhXjE264zJIfizTwDzVlT9wGU0sZEfOSX2Siy40hg1zGXYloX59GD+e1JYtqRMKMdaLAlWGK4F6OG85R9g+AcasWMdDR3RWTIhD0jG47LsVwfOmcfNcD3xsZvHZdzHGA3tKin03nkfQ4VBSq8DbDkkpwPEU7Ql3ORAxsz9xJbgxkc+C52VCfKdeSVMkdS5gvV6S1gfrxR614sbbS5oM7XaFrQdLOjYYinWr/SVY73FJ30n6WFL9YJkkfSCpTUFxmvGfGbfjml+8DowCZkkcWhmy3CsMZobZw5jtwhn05iHgaQ7H7AHMspMdXoXE7HvM+nM9+/IgcDM9MDsRs/lFbeqpoETUGJfZX9270saoFJl44G7UZWdz5LhxbOzWjawZm+HgGY3CI49Aly5Ely1jdmYmvcyodn6WXsTzeDyeYhBkEkw141ozdiM3o6Al7gRiucQHEudIbJ/UYDflDWCByL4KaRek3ZHSc0alnZAeQJr/N03unESvjYYOTV64niqL2V+4TqNclPoIrdumcdfdW37tXqcOvPwyITN64jNRqgRBg4TrgMsk9ogbunL1f9Sdu4QpgZA0G7gAODIuM+5mSfOCstlWwODYxpJulnSO24etBYYAbwbrNidonIHzcJsq6VuceNcEl/2UkEC86kVuqeMLwIGS5gALzOy7Er8ZRRPfqfd+XCfogvgxKP2NPdYDBILlW9D+LpiXAr+eQW6nv1i32j8l7QHsZGbtgclAYE/OEGCSmRVpLG7G32acD+wBLAI+ACZIdNy8l+3hIJaxNb5VYXFpx380AdpQUZvKeIrPsbjvpbeLWrGaUGlEPAAzJkSj7Dl3LtO7dsUGDCB74kQn0iVi1Sp47DHYs0MWF15I9L//uDczk/3M+KdcA68g+MYWHo/Hs4VINMG1uO+Ly9LbCpiOM1N/C5iT1O6Zkl7luBe78M2AHVgcW/oPzmT8E2AcibNEHsLs4vIJ0lNtkJrPpsPnnZjd8q234OjAjeyll17ikUceYfbs2axdu5bMzExCIXdlun79ek499VRmzZrFwoULGTp0KLfeeusmU59yCjZuHPMzM9nVd6yt/ARZlV/hPEoPiGtycS7wENCZsC+Fi0fSIOCSQNDLP9YLeLCAsSHAgWB34SwkdjPjBwAiuhY4i7DtIGkX3LFjP5ztwkJcV/OxwCFmlpV/7qJjpheuDHlPnAB5fWVrKJU0ItodmAPsQdi+T3Y4FR7/flUdIvoY+IewHZ/sUCoEEd0H9CRseyc7lM1BIgUIp6dzcUYGXWvXzKLDHtm03TWdtDRYszqb72ZkMn9xOjWVQX97GVn2oaPttAnJjj2Z+Ew8j8fj2ULMWGbGc2b0I6+P3gW4DI6FEg8k0Ufv4f68Fi/gAWyNK1d7g4LLvC5COryMY/NUN8yW7MeUt1s1j2YfGdcPsGHDhpx33nk8+OCDm2wiiX333ZcnnniCbt26FTj1JZegzEx2ASrVSawnMWZEgXOBnuRmfIFrUjELeDTW5KK6I+l5Sb/hMglPKWTVNpJmSJoWdNWNsRuwEVo8CZ2AGtdLirlUtiIopTWzH3Hd22cAO+IyDh8AriyJgOfmZDLQDTgZOAjnl3dLRbWp8Hg8SSaiZrjMZ19Km0ulysSLEVQ6vbBxI3tdzINH3L/hPDpNf4rlY8fz2+iPyXr9bfr/fA/j7ASWZm/L83YqoxlU7cvgffK1x+PxlCJmrAfeBd4N7i7tjcvQOxpndr5S4j1cht4EswI7ppUO0m64phx5yCKV+ezMHPZIW019UonSjKV0Yhbb8Vf8qucD75dpjJ5qx8b0et36HE5KStytxD59+gAwefLkTdavWbMml156ac7vBbHnnlC/PlmrV7MProOop5JjxjSJUcC9Eu+YsZKwRYNsvK9x5dOjkxtl8jGzUwEknQbchWsAkp8ZQHMzWy2pOfC+pOVm9jLumuBgeGUUdNsRUn8BHgP6k6/RhZkNw3UERlJf4DdgsaRncT6GL5vZuM2Ln2wgIvE6rmz5OuAsiRuBp8wokUDo8XiqJMcD/+LPT+OplCJePA9y6QfAAmAnCnb3/B6zn8stqAqKz8TzeDyeMiK4u/SlGdfE+ejdjuuAOA7no/d+4KPXrIzCOCknHuBjenOSxlI/ZR27M5cT9RJXbPUoF9V8gsMYT1P+ZIe037iR4fxCS4JYPZ5SQ0JZWXTq2rVM5qZbNwR0Kf3ZPUnkuuDn7TlLwjYdJzLdQ0SNkhFURSTo1Ntb0tYJxtaY2erg9yXAi7iyWHAi3SToXh9SfsVl2HUPxvJ3qwVAUj1c194bcTepPgEGADfEN8zYvPjZYMbdBN19gYeBbyWO9M0vPB5PwEDgTcLmvQ1zqfQiHs7n7cbC1ihivNrgRTyPx+MpJ8xYYMa9ZuwHbAecA2TgjMh/l/ha4jqJPUrxYqUOwI/sTO/UTzmIj1nQsT93jajJN9/Av/+lsPrfNNatD7FsGUycCMdd1JzHGg6lrRZyJk+kS5ToYszjKYC07GzSmzQpesWSsO22pKak0LBsZvckAzNW4sSisyXi66mvw53U35aUwCoAkhpIahb3/BjiOvXmW7dp0GkXSXWBI4GZwfDLwF6wbEecYHc4MDsoV84pp83HncDNZvYfud14DUgD0hOsX2zMWG7GRbgy3x9wvnsfSey5JfN6PJ5KTkQ74G4w+FLavNQENiQ7iC3G7EXgdODvfCN/Aadi9lr5B1Xx8CKex+PxJIHAR+9ZM47B+dMdjfPPuwj4Dvgp8NHrtYU+ep8/x2l0SJnDql2688UX8PXMdC64wJUexlcmNm4MBx0E994LS/5M494HQkRqDd4xLY3vJNpuQQweTzxRgIyMspk8IwPMKvndaE8ixuC6pT4WNLyAsK0CLgfOJqKCzRKrNvVx3XUTduqV9JSkoH0MxwGx9aYC/wOeBTCzX4HbYZ/DoUVP4EDcjaYGuJtBeTLxJPUAapnZ/4JFj+DsF74DxsQy/raU4ObXcbiMwdrANxLPSy5V3OPxVDtOAFbivr88uVT+TLwYZs/husUfwQnM5iw+Bppj9kJyA6s4eBHP4/F4kowZ6814x4whQDOgB/AKcCjOQPyv4KLluCKNvqV6SGch3Yd045580+l0nuOSK9KYPjuNffYpXkzp6XDxxTDvx5SU3XajVVoaX0rsvEUv1OPBNStIT+f3uXPLZv5Zs8gw46eymd2TLILOtOcBHXDiUoyxwKfAY0SUmozYkomZ/WJm3cysvZl1NLODzWxW3PgQM3s7+H2kme0erLe7mQ2PiX3B+Bj4aSX8doeZHWZmv0GOWPZrvv1+bmanxz1fGMSxm5ndUvqvk89w2TcDcY1O5kvcIVG/tPfl8XgqNAOB1whbGd0KrLRUHREPwCwTs/fpy1QOIJUSNk6qqngRz+PxeCoQZkTN+CLw0dsV2AVXsrQjTtiL+eidLdE0z8bSqcAfwOPAZZ+y3/BZdLr21lvhrrsgVIJ8vhYt4JNPCO2xBw3S0njbl9Z6SoPMTD77/HOXkRcjGo2yYcMGMoIUvY0bN7Jhwways7M3eZ5/3RirVsGCBaQDX5XLC/GUK2Z8j7MfuE1iOwDCFi/unZu86Co/EulAU/IKdq2Cn5t44pU3ZpgZ44BdgaE4MfcnifMl0pIbncfjKXMiaodrn+1LaTelapTTbsoSXFaeJw4v4nk8Hk8Fxoz5ZtxjRk9gW3J99B4Alkp8JTH0FR1/usFzwFYAa6jLyaGXOPLwbIYO3bIY6teH118nlJ5OW4k7t2w2jwfMeOejj0j5Jc5la8yYMdSqVSunS22dOnWoVasWn376KQC77LILtWrVYsqUKdx5553UqlWLQw45JM+8o0dDSgobcRmsnqrJLcAa4N6cJWGbGzy/jYi2S1JcVYHmgMjrf9cS+Iew/ZuckDbFjI1m3I9rfjEGdzycI3GMb37h8VRpBuC80SYnOY6KSNXKxMulO9CGiPZNdiAVCS/ieTweTyUhn49eY6AvMAe4pB5rnhG5Fy9PciYrQtvw1LMhVAqXNK1bw733kgqcX4addD3Vh1dCIZbdd1/ugkGDBmFBqk38o1evXgAsXrx4k7HJkyfnbL9hA9x3H5nRKM+YbWrq76kamLEO5x16kkTvuKFbgVXEi3uezSVR6WzCzrQVATNWmHEZLjNvFvAG8Em+5icej6cq4JrsDAReJmzRolavhlQ9ES+iGsABwbMXiWirZIZTkfAinsfj8VRCzPjPjLfNGAw0PZiJOSn0UVJ4OHQZZwxJZZttijdfv379kMTEiRMLXGfQIGjYMMeXyuMpMWZkbJ35x+0jRxqffFI6c15zDSxdSiZwd+nM6KnAvAW8BzwalIASZIpdBJxERAcmMbbKTEtcpvff+ZZVSBEvhhkLzRgA7AukAl9JRCRaJzcyj8dTinQA2uFLaQuiKpbT9sM1VgLYHrg9ibFUKLyI5/F4PJUcM6KpZK+LPf+e3fkla3sGnV68FLznn3+e//77r8j1ataEU04hVKMG/Uoercfj+J3tux+ldwkfn8miRVs219ixMGIERKOcY8biUgnQU2EJmlxcBLQGLosbeht4F3iUiNKTEFplpxXwmxnZ+Zb9UsD6FQozvsQ1vegPdAN+lLhHomFyI/N4PKXAQNwNhanJDqSCUvUy8Vy39djxKBW4mIgOKGT9aoMX8Twej6dqMDb2y9d0Y6saWXToUPRGS5YsYdiwYTz55JPF2kn37pCRQTsJn9LuKTlSsxSs/7PZp7Htyh/o2T2TadM2f5rsbHjwQTjlFAy4D3ihlCP1VFDMWATcBtyQk3HlmlxchMseuzxpwVVeWrKpYFfhM/HiCSrtXwN2A64EzsA1v7g4J2vT4/FULnJLaccRtuyiVq+mVC0RzzUx6UFevSoKvEBEdRJvVH3wIp7H4/FUDV4AsgB+oi077RAtshutmXHGGWcwbNgwWrZsWfjKAbvuCmakkNux0OMpCW2AUCNW8nHW/uy+Ygrd987mskuNVauKN8GcOdCrZxaXXWZmxjDgyiBDy1N9uAf4DRiRsyRsP+P88a4notbJCavSklewc9mM+bvVVgrMyDDjIdx3zdO4Mvu5Esf55hceT6WjGy7z2pfSFkzVEvHgbCAz37JUYDvcsb9a40U8j8fjqRrcBoQAsgiRVox8g8ceewwz46yzzir2TtLScn4tQiL0eAplaeyXBqxmQvRgHrezePbhtTTbNotTT87mtddg0SKXbQewcSPMmAGPPw7775NJ+/bw77TvudOuvsyM272AV/0wYyNwPnC0xNFxQ/fhhKeHkhJY5aUVeQW7RN1qKxVmrDLjKmAX4GvgVeAzie6xdSQdLmmGpFmS5kg6LW7sq2B5bMwkbZLnLql93HqzJC2WtKI4+8g3T9dgnbn54jhQ0uOl866UHElb53ud8yVlSWoUjE+W9HPc+KWFzHV18DpnSZoqqVvcWENJY4P5v5d0ZwFznBHMMVPSnnHLb5YULs3X7kkqA4EFwMxkB1KBqTqeeBHVAgYDaQlGQ8A5RNSrPEOqaPiLMI/H46nsSDsDh8SeNmQly5YVvsnChQu55ZZbmDp186xF4uZdtVkbejzxmC1E+gg4CCAFYwhP0z/6Ki9GT+SZcWfzwtiOGCIlxUhLzWZjZioANVM2coS9x/s8ySFZH5JKdobvZVF9MWOixEvAQxITzfiPsG0kovOBiUR0NGF7O9lxVnSC7LT85bSJutVWSgKvzLDEA7gOxl9KvAIbrsVlsvcys28ltQbmSXrdzNaa2d6xOST1B240s283nd++AzrFrTsS3I0FSSpsH/mmugZXEv4N8B0wWlItYDjkEaqTgpn9Q97XeQVwgJnFdwS/1MzeLGweSZ1wTbJ2N7N1kk4GRkJOZ+FngM/N7KRg/e0KmOp6YA+gCzAU6C9pd6CDmd2wea/OUyGJKBUYADwVWCZ4ElOVMvEOBeriKoyEy8CLZzWwIv9G1Qkv4nk8Hk9lJqJUOtCbuEuKPZnBL3/UYNkyaNIk8WZTpkzhn3/+oUuXLnmWH3fccQwYMIAnnngi4XbTpkFaGqsyM1lSWi/BUz35l63O30DN2VuzokZsWQNWcy6jODdr1HdPcOaRO/Dzu8uym7TPyg6xFf+xG3PZOXs+IaLxU21hWwxPFeByYB4wDHchD2H7iIheBB4ioo+C7rWegtkaqEVewS5Rt9pKjRnTJHrhBLG7If0H2CoKbVoA3wL1gH9IfDE8GFeaWyiSagInAb3jdw00CH4vbB+ZwFa4rJrYF91wYISZrSpq30lgMHBtCbYzXJZNbWAd7r1ZAiCpLdAVOC5nZbM/C5gninuvagMZklKAB4AzSxCTp2LSE1fW70tpCyKiFNz/U1UR8cbjMupXA38CB+OE+l7A34QtI3mhVQy8iOfxeDyVBXeQ3gl3ctsl+NmZE6kTL+LtzVekKsr48amcckriqU444QQOPvjgPMtatGjB448/ziGHHJJ4I+D994maMcWXLnq2lDr8278pS1M/5JCxe/D9fkATXBbQ88DIs+yJtbgSqrGFTLMAmFAO4XoqMGYslbgeuEdijBk/BEMxce86YuKepyASZd258toqZiQfHL/ekngfUs6CV2+Dk9+R6q/CXRsda5b3IlFSC+AAoICjah6OBRaZ2Sy3PzNJA4DXJf0LNEy0j4CbgcdxotSVQcbajmZ2dQH76lGMeMoESfviXsu7+YbulHQLMBe41sw2udFiZrMlPQD8HJQdbwT2D4Z3wwl6j0nqihM8rzazRKWUVwH/A9biPLTOA94zs4JKwLcOftYv5sv0JJ+BwHeEbW6yA6nAxG6GVo1y2rCtB67IeR5RCPg/wuYTCAK8J57H4/FURCJKIaKdiehEIrqPiCbjSljnAc/h7vD/CFxJS/ZCzIht2oiVHKs3GHFvJgUVHmy11VY0b948zwOgcePGNGrUKOE2c+bApEmkZmWRdF8eT+VG4hDglj9odsUeNudkzFphthVmu2J2B7klZi8CidNCYRkwAPPlNR4AHgG+Bx7JaVwQtj9w2XlXENGuSYytMhBrVvRb3LJK1Zl2czEjE/Q4HP0d3DsWVteCKWuh1itSncb5Vh8EvGtmy4sxdZ6MPUkh3OfwWDNrhbMRGCMp/z4wsx/MbH8z6wK8g8tGuVjSiZJek/SspIYARNQUV4IKzuy9vBkMPG9mWXHLTjGzdkAHYAqbCnwASNoBJ3a2NbPmuOy5ccFwCFdW+1LwPjwAvCtpE38sM3vdzPY0swOAf4G+wEhJt0saJ+m2fJtcGPz0mXqVgYjSgP74LLyiiIl4VSUTLz9LgIZEtFWyA6koeBHP4/EAEJgw/xhnRjwgbqyGpJGSFkj6TtILBcyRIunewLR5nqSnJaUHY33ymSEvlTSjgHmql1GxE+x2IqKBRHQPEU0CVuJEujG4E/6FwNXA3kBdwtaZsJ1J2EYRtukYd8VPeXn2PXzzbRovvlj8MMxsk+y83DG4/HKiaWn8BHxQkpfp8QBItAIiuAu2whsPmBlmZwOHA69FSZn/DXsykYNeATqQODPDUw0xIws4F3eD48S4oceAOcCjROS7khZMS+BvM9bnW1ZlRbyATpC1rdnppwC7QM+PYPcG8PwUiZ6Q42l3OsUrpd0B6I77jovbB83M7FMAM5uGuyjtXMR0lwCv4G7gXY/zBfs0WA5wI+R02r2QckRSHeAEnHddDmb2W/DTzGwksKOkrRNMcRzwnZnFmhw9C/QIzhl/BX43s0nBXB8A6eQKzQUxArgMV3LXzMwGAM0lubLmiHbBCYcAJxNRy0STeCoUBwKNyRV4PYmp6iLe78HP7ZMaRQXCi3gejyeeAWbWKXjEHzDvxPmX7Gxm7YlPcc7LYGDP4LErkA1cDGBmE+Lm7gTMoOAyueuBvYJthwLEGRVHCtimchCRiKgNEQ0goruJ6GOcOet8nPF1H+Bn3OvujhPsOhG2wYTtMcL2NWHbNF3+//iKlNxW7HvzNefzCOeelcXPP2952A89BP/7HymZmZxmRpUqraqoSPpQ0reB6D1F0iYXfJJOl+uWeEwh8xwZiOoLJL0uqV6wvI6kCZKWS1pVRCzXBx0Cp0pqFbf8OUnFLueSqInrDvkncGaxy7LNPsCsf6pFd+nKNzP+j4l/ULBHkqeaYsZU4EngfikolwtbTNw7AKh6N4FKj0SCXSsqcWfaYvIb0FTSrmb8CroZZq6B3VcAUyReg8NOwWWH/a8Y850BvJHPvy5nH5Dj+dYGd6MuIYEY+H+40tq0YP+GO6+qQ0Q74bLJYtZIRxPR7sV+1VvOAGC2mc2Lizkkadu458cBfwXNMPKzCCfa1QmeHwnMD0qMvwHWKOgCHHStFXmzRPMQ3Hj+IWgwUhtyji3u/XLcFjyPMbyYr9WTPAYC0wjbwmQHUsGpGfysGuW0mxIro22e1CgqEN4Tz+PxFIqk2jhxrrkFZWuFGAx3BCbGfF4kfYA7Sbon35zNcNllZxQwT9UwKnZZHzuQ61/XJXg0wJ1IzsWdrL4e/JxN2P7bzH00BC5iEJeQBUzKHbqHK5iysRcHH7ATEz9JZ4cdSvYyRo+GSy/FzLjBjC9KNounBJwQuxCU1A9XRt0xNhh0ODwTKLDFcHCB9DSue+C8oGPi9cCVOAP1u3Ai8uRC5qgHnIzzKToJl/FxhaT/A/4zs8834zU9BOwCdDVj3WZsF8+XwH4S/0fu/9Y4M14p4XyeqsW1QD/gVmLZSWH7ioieAO4jovcIV8gGAckmr2Dnjl9VPhPPzP6SdBbwsqRsIAWi58IuL+IygO+B+v3gpGnwQiMgp5xW0jm4jK8bgucpuLLbU4veBxeYWWHv7QjgkuC8a7WkCK5b7TqcgHYX7jwilpARxd1wPWpL3o/NYDBOMI+nBvCepBpBbMuJ66gr6WZgqZmNAt7A3aydLmkjrhQ2DDkegqcBTwadeTcCx5lZwiyjoLz4fCBm6DseGCLpW9xN0fFElKdRBu4aeBAR3UPYfsBT8YioBi5z8qZkh1IJqOqZeMtx56xexAuQt5LxxCPpdFxqfL9Ye3hJz+IulLJx/0DXmNlHRczzHHAa0DDuInRvnLdRLZyifoqZ/Z5g2+G4EoFjzeyNYJlwd+0amlkDSTcCLcxsSDDeE+e90dvMJgfLRgHLzOz6Er4d1QpJi4E1uLudX+P+zsuCO6Fv4/woDgbWA8MTfQaCz8/ZuBOp9bhS0MPNrF6+9YYCXczsuPxzBOPH4vxjYkbFBwOpZjaiFF5q2eAueFqRt+lEF5zpczbwA06om06uYFfybokRbQ1cirtIzQYe5BOe5AmewWXzAfA3TTgk9DG/121nIx8L6YQToLgFZWvWwLDrjIdHCtzFwVDf0CI5SBqEu6DrFDxPAT7ElVjfBzwY+87Ot93xwGAzOzR4vhvwYeBBFFunNTDLzBoUsO/awGxgD1xJWQucQDIeONLM1hTvNTAYeAo41ow3irNN3LZdgENx/1O9ye3ymInLUvnAjMM3Z05P1UXidNxnrZsZ3wAQUSNc5tNLhK1cSw8rAxJfA5+ZcRkAETXG+U7+H2GbmMzYkolECCdY3Yy7uXg7MMIsiRkvEe0Jwed6U/YlbF+WZziVAmdT0pO8CSxZwHuE7ZikxOQpnIj6Am8CLXxDgyKIqD2uu/ZuVVaUjuhn4HHCdmeyQ6kI+Ew8Tw6FZHVcGifEdQY+ktTYLHG3skCAycy3LAVXOnmmmU2SdAXwIHB8AeF8Q1CSEDw/CKfCNwyeTyKvD0dv4CucD8bkuGXnFDC/Z1P2N7NfA+PgW4HRuLvQIZw4NdfMrgk+A/+TtLuZ/ZVvjueCdT/BiXgTyb0zCuQIsmcAFxUUiJm9jstOi3WE6wscKul2XAnKT2Z23Ra+3pKTm6EQL9Z1BRrhSjjm4cS6m4Kfs7ZIsMu7721wHRfPx91xuwt4hLCtJgw8ocNwomcYaLINy5Y8lTXo1W6rpocHDuT0J54gesklpB52GIQKOAIsWwZjxsD9d2WwYgXrIf0cM54vlfg9m4Wk53HfZUAekeoy4HMz+0aFq7ItyVsOtxhX1hXKZ0ZeIGb2r6T7cceGP3E3aG4G7tsMAa8LrvHAXZsr4AW8hPvfh1wPKHACXhR4vwRzeqouo3HCy2MS+5gRJWwriOhK4Gkieo6wFSSCVFfyZ93FyuarejltoQRei49LRHAZzDcC50kMBV5Mkr3E3TgBKv9RPAu4l4h6EvZZGjlEdDDu+iA/IaAvEe1N2L4q36A8xWAgMMULeMWiqmfigfPF85l4AV7E8wA5IttTuKye++LH8vl6FNqSPfDCGIq76BwSN9QFyIqZ1OI8Pm6VVNMsgb8XfAYcImm7oHTzDJxod0cwPhVoJqm5mS3BHZxvxrWaR1JT3AmpvxtZTGJlHWaWKelBnEcbuJP6bAL/OjObKelnoD3wV745DFc+OxxA0kBct8B4DsDdzZ5QzNA2MSqWNFpS77jPU9nhBLsW5JbCxkS7xjjB7kec6HxL8HMmYStpmWBhcTTFXUCcgyunuQl4bJN9ub/B/4jz7ukKZMNEidFTpnDLxx+zX8OGZHbvFg117JyqRo0gOxt++QVmfZ3B9Fmp1GAjp0RHcw13TGxpv3oBL0mY2akAQWnRXcDhkvbAlQXtX45xPAo8GsTSBXciNV7SI8A2wBQzS9ikQmJrnA/e57gM25JwF5uWbsVIpfjfJ55qgBnZEufhvFeHQE5H7ecJxD0i2oewRZMVY0Ui8KrclryCXcz0319AA2asBW6QeBx3vB8DXCpxhVnBdgSlTkS9cDe2ExEC9sVlLfsGVBA7h7sbd76W6I6X4Sxfyu146ikGEdXGlWJfmexQKglV3RMP3LHIN7YI8CKeJ0ahWR2S7sRlzTXE+VIUdOfxSeAqM1ubb5482SDB+BqgGa5MNhEvAKdJehznmzGMQMQzswxJXwC9Jb0M7GBm70t6SFJNnIj4ZQECoScfQblcWpxgeyIwE8DMlkv6CFei+X5gtrwDrjw0/zw1gVpmtlJSY+AanP9WPIOB58yKvniKNyqWdDSJjYpLD3eytz2blsQ2CdaYj8usuyP4OZOwrS31OPLG1AInTp+J61h7HS6dfPO88wAzPgH2l2i7ciXH/jvh87PfmbTdjmuoRypRmmYvpXPW15zLVPrxBnX4F9ydfU+SMbPRkkbJdfnbD2gNLAi+Z7cDnpDU1Mwey7fprzhz9BitgT+Km4WXH0kh4F7cd8TJOMuC8yVNkvSumS3Kuz6puBsAIeDEIKtlszHjKYldcMeq/E25lgA/lWReT9XFjG8lRgB3Srxhxt+ELZuIzsMd384ERiU3ygpDi+BnfCZeS+BvwrY+wfrVFjN+B84IPlv3ApMk3gauNmNe4VuXCktxN1BTg+epuHPzlbis5GwKaQBR7QibEdGP5H7G879fkHvT2lNxOBJyGmF5iqa6ZOJ5sT3Ai3geipPVYWbXANdIOhi4W1KPWPOCuHmGAL+a2celFNpoXDbROuBl2KRkYRIuO+sXnIcbuAy9fYLlZZ+lVXXYFnhNUiruTuUi8hoznwM8LSlmpHx2zM9Q0lPA22b2Ni5Tc3KccfMIM3snNomk+jiT2vZFBVQso+ItwQl2zdi0JHabYI0FOKHuLnIz7FZv0T43L77WOBH0DNwJ+xXA06VxQWXGT8Dd6IAFZLiy5UJ4b0v359l8JDUAtjKzpcHzY4B/gBWBUPdY3LqTKcATD/d/8oikdkEXwfNwpakl5XIgYmZ/BuJ/TFg3XCOa/NwAHAjsZ8bfW7BfcP8P7XBZJrHzl0zgHe/V6CmA4bgmAHfjGg5A2L4jogeAO4jodcK2pZ/LqkAs6y6/iFelm1psCWbMljgEd4PzHmCOxBPA8FL4riuYsM3H3bhxuI60c4D9CFv+ygcPQNhOzPndv1+VhYHAR/77udhUBxHPZ+LF4UW8aoikUyEwLnalijUpZlaHmU0Muhu2Z1NT3d7A/pKOjFv2raS+uBPBmL8KkuriBJ+lBcVpZr9L+gXnP7JvglUm4bK6fiXXB++TII7exE7Y8xNRGik1vgbLJDtjX8Ily0ipSgTZM52LGO9dwNiQuN//AnYtZJ7VJL7QT7TuSuKE5UA0PrrgLYogophgFy/axU6Ef8J9nu8Jfs4oV8Eunoja4rornoq763Qh8BzhxF3ZtpC3cK+3SwHj8wnKqD3lTn3glaAzXzbOYP7IWIfowojvABhkPQ8B3gyy6ObgPO1i636LyzStJ2kJMMnMTilg3ja4GyQxb74XgDeC5hmfm9l3edfnSJyId64ZW+w3ZEZUYiDOJmE3XEZFGr6U1lMAZqyVuAR4ReIZMz4Nhm7CZZPeQ9z/QzWmFc7Hdnm+ZdXaD68ogpsH4yX+hzvnvAU4WeJO4EEzNjtj3uOp9kRUH3eecW6yQ6lEVIdy2t+B7YgojbBlFrl2Fcd3p/VsQnxWR9DkoJWZ/RSMdcNldrQJRJbC5jGC7rSB594CYEhcY4vuZtY/wXbDgQZmdomkrsCeZvZE/g6KQWwrcULg0WY2T9LOwLu4DKuGZgn+ySO6EqXdCdlg0csIV+COp56SEdF2bFoS2zQYXURuh9jpOMFuVRKizEtEu+BKZU/CZRreDowp8wOVK898Fle6EF8D/xFwKkEmmMezOUjsiPsfews4vTQz5SS2x5VDNsEJnA0CvyqPZxMkhPMHaw50Ngsab0V0HK5Uqxdh+yR5ESYfieHAQDPa5SyM6GvgM8J2WUHbefIiURuXrXwV7vx0GDCmTJpfSO2As0jnMLajHesYywruwHx2WUKc3cuJ1OJMtmYfVvA5/zEKGEeiawVP8ojoNJw907aEC7/W9AREdCLwAmFLLXLdykpE++K8lVsStmpvGeAz8TxFkQaMDsogs4B/gf4xAS8+46OwScwsW9LJwOOBb9pSIGG2R77tpuOElkRjmZI+AzoGZWKY2fwgy++zAgS8Vij1FvYYlkL2Rph71x1E9CphVxrqqYREtC2blsQ2C0Z/xgkJI8jNsFuRjDALxJV2DMOVfM3H3c1/sdwyRM3+AY7GeR32ZgCXsys/caP1LZf9e6ocElvhukv/ApxX2qWuZvwucSju2PC3F/A8hWGGSVyAy0K9BJd9B+4zOh54lIg6VfM7+4lKZ3057WZixr/AzRJP4rI9nwEukbgZ+Aon7G3Y4u9E1zRsNJBOBrG/0knAAKQhmI3eovmrGs6e5UOgK+uJtWrpETzOQjocK4OGZJ6SMhAY7wW8zaIGVbuUFlwmHrgbcl7ES3YAnoqHmfWK+/0/3EGuoHVvKGRM+Z5/CXQoxv6HF7B8MdAg37JDE6zXNP+yHBR6eH1o+5SDz/6AtLQ01i5JqXnyvtmvXxpm76Li8lQAItqGTUtiY+3GF+OEupHkZtj9k4Qoi0dEnXDi3XHAXCAMvJK0bolmPwM/E1GbICaPZ7MJsp4ew5XidS2rcjIzZkg8BXQvi/k9VQszfpK4Axgu8ZIZvwWG9xfgOqhfQq64Vx1phbvp5YgoUbdaTzEx4w/gLImHcH6M8d6zWRJrgNU4UW8Zzu90lBlTipxcakZMwNuUEPA00ie4c2aP437cOWMi9sNVPlxUfuF4CiSixrhmXKcWtaonDzWp2qW0AH/g/Je9Lx5exPNUJyI6GjiqZs8nmXxML9LS0lj9wyvao+cJ3S6N6FDCtmWNEjylizuQ58+wi++gNx0nFsQEu+WJpqlwRNQV17H3aGA20B94g3CBHZ/Lm2nAUCKqnzRfQE9l5mzcyfeRZiws4319CAyWqGfGmjLel6fycxeuAuBBYjcqwraQiG4HhhPROMJWXTPPWpLrLQyJu9V6NhMz5gCHB555BweLQ0Cj4LFD3OpRKIaI575j0wH+oxYraQhAA1ZR290zScV5iV1dCi+h8iM1wt0kxYBlNGEjNajBRpqwLOYhcgbStZj9m7xAPQHHARnA28kOpJJR9TPxwpZBRH+Rm7xRrfEinqd6EFFtlPYYLY/LVtP/S0kLFq+rty8ddt4WtOJxImpXGp0/PSUgoq3ZNMMu1gjlN1yG3ePBz28I27JkhLlFRLQPTrw7DCc89gXeIVzhjEmnBT+7AKXVadpTDZDYG3gIuNmsXLoaf4Hrgt0NmFgO+/NUYszYEJTVfiBxuBnvB0N3kyvuHZus+JKFRApOtMvfmRa8iFda9Ad+wDXTUoLxDFwn5UKRSH2GQft9zIFMS+/B/IzWGClujGx2Sv+FrhlfcjD/63mGCJlR7Ru3PcY5XZfTOH1i6FBmWUfWROvkjDUIraUTszgk6/3aaWR2uMI1TfIkl4HAu4R9efNmUvVFPMfv+Ew8wIt4nurDDaTW2IY9H0gBWL16NUcddRTff/89d91yDZZy4/aKZl6L66ToKUsiakSuYBcT7VoHo7/jBK6niTWfqOzt5SPaD/e5OhiYiuu4Nb4CincxlgJ/4v4uXsTzFAuJJrgmAR8BN5fHPs1YKvErsA9exPMUAzPGS7wKPCwxyYz1hG0DEZ0PTCCiIwhbeQjQFYkmuAvAeMEuUbdaTwkxY7XESSQ+phpwoxmLcpZInYB9cY17JgpbCJyQlsb9Z2Q+22zfvTLpf0gaHTtCs8AB+M8/U5g9ewc++ag5Z3wR3jctjSUSVwBjS9uXtDIg0Tw1lQejPHps4wZZ9D0ujQF7Qrt2UKsW/Pcf/PBDXb75Zj/uea07q9aFPrsmxLholEvN+CvZ8VdLImoGHIATvT2bR3UR8ZbgM/EA353WUx2IaA/QLLo+nMrO5+cZWrZsGV27duXbV8+m7vzrs9+Ylt3zuAfN34krLSJqCOxJ3pLYWPnIUnI7xMYy7P5MRpilTkQCeuMy73rhSmRuBj6qwOJdLhG9DWwkbMcnOxRPxUciBEwA2gBdzCg3L0qJF3HdaQ8rr316KjcSzXFZUQ+Yxd24i2gcsBewe3XKypfohmu60CZHSIpoODCQsLUrZFPPZiLxAHAhruQVnIAn4DvgSkM/AhHcjQkA/qGRHZ363vIvot2bDBqEXX01alfEX2XBArjnHuzJJ1EoxMdZWQw0o/JVMJQQiUGpqTzSrBnp99xDqF8/SE/kIBiwYQO88gpcdRVZy5ezPiuLM80YV34RewCI6GLgFlxX2mrzHVwqRHQbcCRh65jsUMqUiB4B2hO2/ZMdSrLxmXieqo/SHicllErmWph7DxkZWaSlpSKJ2uszqKH/qBmKotS0lK3rZX0maTQwwsxml2oYIh3YHeiI80IBd5d7FvCDGZW7M15EDXCCXXxJbJtg9E+cWDeaXMHujyREWbY48e4QnHjXA3fXvRdh+ySpcW0+04DByQ7CU/GRaIy76OwB9ChPAS/gS1w3yBQz8vhKSnoI5z3ZCuhsZrOKM5Zvjn1w3pvgurV/BlxkZhslHQjcCdTBXYy/B1xjtqm/paTrcWVCa4EBZvZLsPw54Ekz+7xEr96z2ZixROJG4A6JF8yYHwxdBswDqltWfkvc5/f3fMt8KW3pMxQ4AtiRXCFvIHBSbdaN/5NtN2zHXzVjK//BdhwY+lTrGrdu8sk42H//hKW4m7DTTvDEE2jQIBgwgP3/+ouvJfY3q/odHSWGArddfDHccgtstVXR29SsCaecAsccQ+iqq6g7ahQvSWxrxkNlHrAnnoHAm17AKxHVKRPP37TFi3ie6kBqjblkZ+7Ad8MB+P7n7NB5z2bVTxFkZKFhh6euq/HjbRuyDdWokf4jrO8OnC7pE5xHzjtmJesYGnRq3D8lhTNTUjg+O5v0tDSyGzZ0PiUrVhDKyiIlNZUNKSm8ZMaTZnxRKq+7LImoPrmCXUy0axuM/oUT7MaSWxK7NBlhlhtOvDsCJ951w2Ul9SRcaS/MpwE3E1GTSuk/6ClzJJoCV+CyStKA1834JgmhfAHUB9rhujzH8yrO7+yzBNsVNhbPbGAvM8uUlAK8BpwHPIDrLDnQzBZJqokr6T0VeC5+Akn1gJOB3YCTcO/ZFZL+D/jPC3hJ4WFgEPCIxCFmGGH7nYhuAO4kohcI2/zCp6gytAT+NMtzAdgK4so7PaWCGeslTsRlPgI8FmR8jftYRz+0HX9dGFt3I+kcEZpAtHkrpn6WxvYlcIHad1+YNo3QAQfQ/Oef+Z9EZzOqrEAicSpw28iRcP75Ra6+CXXrwmOPwQ47wNVXM0JiiVmezsKesiKiHXDd5m9JdiiVlOoi4jlPvIhUKSqbyhAv4nmqPiesPTP+aWfgy2s3XS2FoH5hmIRrb34x8Abws6SRwNNmxe/WKdE6FOKxrCwO7dCBzDPPJO2AA2CXXUgJhVxnscxMmDcPJk2i5uOPc9LcuQwKhXgzGuUCszx3xUtGRLsB8wlbyc2NI6qHe9viS2J3CkaX4YS6F8ktjV1abb5YI0rBNai4HvcevQvsTdi+TmpcW8704GdX4INkBuKpWEi0Aq4CzsSVgcXOI8YkKaTZOO+ufckn4pnZpwDSpskrhY3lW++/uKfpQC1c1hJmNjNuvQ2SZpHr7xlPFJd1kwbUBjIkbYX73jiy0AA8ZYIZmRLn4awOjgdeDoZyxD0iOqSaHMtaAb/kW5a/W62nlDDjm8Cr7ihc1icABzKpTfx613MLP6buxqwPQyUS8GJstx1MmEBojz1om5XFXcBFJZ+t4iLRJjWVURdeWDIBL56rroIff8Sef55nJb4qlfNxT1GcAKzA+9uWlJrAhmQHUQ4swZ2LNYbqYxGQiJRkB+DxVDTM8aGZHYHL7ngf52f2u6SHJe2UZwOpNtJZSBORvkF6+Ww9Pjw11X5o2ZKDPv4YZs4k7bzzYPfdIRQnnaelQfv2cNFFMGcOaR98AM2acURqKj9K/F+JX0RENYhoJPA9MHIztqtLRPsT0aVENJaI5gGrcCfz1wANcRc7/XAn+dsStsMJ2w2E7S3C9nu1uOiJKJWITsCVQr8OLAa6ELajqoCAB2FbjntNeyU5Ek8FQWJniWeBhTgBL428NwK/TUZcgQ3BNOI8pEobSa0lzcbZH6wGHk2wznY4M+53N43R/gXuxzW26QuMwB1T7jOzNWUVt6dwzPgMeBZ4UKIeQHDD61xcI6ITkhdduZK3dNbdnMrfrdZTipjxoBkHmRH//59T8bGIHbhPV3D/iBA77ZRggs2kdWt45BFSzbhQYtctn7HikZrKnTvuSNodd5TOfCNGoKZNqSWVT6MmDwOB1whbRrIDKQxJiyX9KGlW8BgQN/ZQMG5yzWkKmiNF0v2S5kr6VtIkSW3jxo+UNE/SAkmvB9n8ieZ5LthXZ4JMPEl1Ja0Lbioi6VlJw+K2OTnYpnXcsvGSKouFTkxQr/bNLbyI5/EUgpn9aGYX4L4sbsRlTcyX9K6k/9sgNcdlLT0OHATs+SrHHf+0htx42ilWc+5c0nr3Lt6+JDj0UJg3j7Tjj6dWSgrvSxy+2UFH1AZXqnFOsOSgAtarQ0Q9iegSIhpDRD/gLlA/Aa4DtsaVjvXH3anfhrAdRtiGEbY3Cdtv1UKwi8eJd2GcCfVLOHP0DoTtWMI2I7nBlTrT8CKeB5DYBfdZP5ncjLJ41uNE32TxBS4Tr0wws8Vm1hHYDneifGz8eHCC/Q5wt5lNTzAFZvaomXUys0Nxx5PmwHhJj0h6RVKVzI6pBFyF+5velLMkbF/gOqQ/EGSiV3Xy+99tg3tP8mfnecqWN2K/PMRFbL9tFoPjLqtfeukl9ttvP+rVq4cksrLyFliMHTuW9u3/n73zDo+i+v7we9LoTaVJFRAQQZoKqAjYwF4RHYoi2EDsFQuCvYMKiNIxo3z9qQiKiijYKNKbXUCaqCBFhPTz++PMJptkU0myKfM+zzybnTtz58xmd+bOued8ThuqVq1KvXr1uP3224mPT8uu69cPGjUiEcsyKVWI0DAlhctGjCCqvKcomN3nFRsbS+XKldMtUVFRtG2bVhOgcmUYPpxoEfqLUKuoz6lM4UpLoB02ri4J9PHu5+1UNbgAyv8Bp5HztfMiTEe4raqeAHwOPAkgIpWx+88lqnosVgTw4Wz6WgFcR1o6bR9svBZgAVZgL0AP7Bmxu3e8KM/mUJWziyMBJ95hxCeXDnwnno9PLlDVvar6Aqb7dhkmZD5vmYlgp9YJ+5EWDIh4k+tvECZOjqBcubwfq2JFiI0lom9fIqMi9Z3P5cwHEXkYkf6IVMp2Z1euwNLLjidNNLkZrtTDlVNx5VZcmY4rG4D9WCrRw0BtbADZG0sHq4mjvXD0QRx9D0e3lDmHXTCuROPKNdiNcQawEqtg2AdH14XXOBCRed5s3moR+dqblQu0HSsii0TkZxFZJiLHZ9PPIG/m77dTH6VRQhIn4oqIyMCgWcfVIrJLRELqxIjIwyKyQUSWiEijoPVTReTUgj1znyJiL5aqmlXu6fqMRSWKmMVAS5HUgkGFgqoewB4y+gbWiUgV4BPgA1V9Mac+vAHz88DtmFP0b1XtDVwqIk0Kw26frFFlFxZlfqsI7YKa7sceispCFE7GdNqG3qsfiVe0uMBaBdyoAdwwNCZd5kaNGjUYMmQIo0ePzrTjmjVr6N+/Pw899BB79+5l0aJFfPrpp4wcmeabjoyEYcOIjoykn0ipe/7rU60ayb17p63I7vPq27cvBw4cSF327NnDUUcdRf/+/dNtN2AAlCtHBBkmbnwKnKswPe2SVgQuHar6lapuy82m2P2lvJimR1UsTRSsaMMqVf3Rez8OuDqbvt4DLjgYT0UsnXYgMDmofQHQRUQC9ZlPA54izbF3ErBLVTflwu7w4+gBLODEj8QLtwE+PiUJVU1W1fdVtfsjcGlX0zcCIJkI+kW9TavWkYx5OYIcpJayJSICJkxAmjdJrDgy8rHH1R4kpgM7Ebkh0w5p6bPvABXJrHe5BRNwHwnUxaJGrsQqpB2Fo+fg6HAcfRdHfy/TDrtgXInBlcHAT9jM2LdASxzth6M/ZL9zkXKlqp6gqu2wtL2pQW0TgNdVtTnwTIa2VETkGExQuCvQbNPfJL3xBXWAeqo6JWjWsR1WbTg2RB8BAf8TsIHHMG+9L+BfglHlT0wP82k8PbggEiEsBS2CWey9di7ojkWkmYhEe3/HYFICa733lTEH3ieq+nguu7wLcFV1J3b/CHyeStD9xKdImYRFHo9LdW6YpMB9wDDcrNOiSjoiVMKi7oMddqGq1foUNqrxwBlraPvx30lH0L17+uaePXty9dVX06RJZl//xo0bqVatGn369CEiIoJGjRpx/vnns2rVqnTbdesGyclUImjyuTQQEUHn004jMiYmbV12n1dG3n33Xfbv3891112Xbn3FinDyicnSmSWDySY90ucwsMJwVwH/w8lfEcEwMF1E1onIJBGpmY/952AyRTuBP7CMqUBF9Iakn1TZDNT1JgBDcRD4bMpXNPj2J8pjk62pzyequtU7RicRaYjpDs4jLXuhByUnCi/ANvxIPN+J5+OTX0YG6ZcAzOFCViS1Y2psNMEDifxSoQJMnhHD18mn8AVnBFZXBiYgYrOCrlTAlQsxnaoh3jYZ3YcpwCygKXAEjp6No/fj6P/h6CbfYRcCc4reDPyCOaPmA81xdCCO/hJe4zKjqnuD3lbDcwyISC2sOMWbXtu7QINg7Y0grgBmq+pOVdXoSF58y1wj6VJqRaQTlm41O0Qf2Qn435+vk/MpFqiSAIzFBoAHgUBuUgRh0sMLoMrfwK9kSKkVkQkisg2bsf1URH7NZdtEEbnIe3sGsMrTxFuFRQsEqufdhlWjviwoSvXBrOwUkabY7PdEb9WbwBkish74RTX8Ub1lES+K9GagE5aWFGAylnY03tOJK4008F4zOvF24mhZqHRYvFDd3Z7VEwDatcv9bj179uTYY48lNjaW5ORkfvvtN+bMmcNll6UPIDvhBBBBsYm2UkN0NB06dMj/M+24cePo06cPRxyROZi740mREQnRlToCqxBZiEjtw7HVJxNtgRaEK5XWlVN4K/oFXKmcyz1O91JgO2A6udPycdQTgdaYI+poLJ32tXz0E2DyjG9oOPoTmmI6rxkJpNR2B75U1UPAX97kfXevvSSxHT8Sz3fi+fgcBjuC34yJuovzzkmideusd8hJ0yQjnTpB1y6JjI64K31DTV7HlTXAv8DsVZvb1ftlZzMhc5QM2O+8Jo5u9B12OWBO0VuBjcBoTKS+GY7egKMbw2pbDojIdBHZijkYAjkhDYA/VK06saoq9rDWMEQX6Wb/tuzmh41/kURmXbxBwAxVTczYgS/gX4oQqYzIQESeROT+7VLvOGAmllp7LPC6t2UklsIfbhaRobiFqt6oqvVVNUpVa6tqs1y2DVbV2d7fr6tqa1Vtq6rHq+qtqhrntT2hqtHBUaqq+kRWBqrqb6p6rvc7RFX/UdVuXv83FvDn4ZMHVFmFVaZ9RoSjAHA04Nw7mfTOvdJEQPJgS4Z1vh5e+KggYppsuaVixYoMHjyYW265hXLlytGsWTM6d+6cKbIsJgZiYkjBqmyXGiI0qUrVfKpXrl+/nq+//pohQ4aEbK9SBQ5KxcDbbsDcHMuaZ4dpK9cqxRMDeeUq7PqzpMiP7EoFJNpFk+4kLRIuFREZEDRBNxBAVbd4r4nYc0LXfBx5APCFJ9WUgjkCAwrqW0i7LoNJHKWO40Ohqkt27af85xtoSmhn6AKv/x6kVR3/EjgH0+bzI/FKIP4FxKfUIiMlMuetDgPVFVh1Ug5Qia+ST2XAdVlFOxvZaXRkxTWDopnPmSQGZ8j+zZH8zddAv7cX9zmpw4MrtfldP2vPpz/Z+MvOZn8FLCQtWuZkXMkoRu8TwJVKuHIXsAlLOX0HaIKjQ3G0ROgCqeoAVW0APISdw2GTkEQCNmMIgJgm41VY+llWdvgC/iUdkb5Y+sVk4AHgqXrs+N7l6lOa8FsfVXaoMhToCQzHNCLDzWKgk0gmKQEfn9zyCCYM/nTqGkfXAC8Dz+DKUWGyqzBpCBwA9mRYVyLue6WUOFU4eDD3O0ybNo377ruPDz74gISEBHbs2MHu3bvp27dvuu2SkiAxkUhMO6vkI9IYkXn12H7kgQP562LcuHGceOKJnHRS6Dpe//0HFTgUvKoDcH7+jgbAPVhEd2mdGMgekRqIDEdkAyK7uZc7eYON9A2LnMT9RETW5/jhgNyFK22CG1V1etAE3RQRqSQi1YM2uRqL0M8rG7Eo/EDe1gXAeu/vT4AOIhJIeR9CLqIUX+zH9tt78bmq/huieQEmN9INk1YCc+LdBWxX1ZImneBH4uE78XxKITJSqkWOipwSFRH1vYyUwquuKXIc3kzASjqQohF0zkGRKS8aHQE6dYK4lHKsJ0OI3+3cj6NvX/3q239abVuReet6Nmx+1y9HHnnjLvfz9WfcjoVVb/KWAkjyLWW4UgVX7sc0J0ZhRSuOwdHbcUrcTQ0AVZ0G9BCRI4GtBGlpeAK6WT2gZZr9q1iOnWDFLbx1vYENqvp9Tnb4Av7FExFEhI4iPBEVxSflyrEzOpp/Y2LYV7483zeRjZ+8zvUz9lE1UxzI1bwd+RvNAlWvUWWeKk+pFosHwkVYCnc2sdA+Plmjyn7gTmCQSLrU7BGYc69AJkeKGQ2BLarpovh9J1542QCwJg/xzcuXL+f000/n9NNPJyIigrp163LDDTfwwQcfpNtu3TpIsRJE60P1U6IwLbKvgbNbJ65mzaq8y6n9+++/vPnmm1lG4QGsXp5I64RM81Rn5vlgAK40RiIfpdIxIFEv4uZLT63kIlIP+A54AmgFHMF2ollId2AR+dOXy6MJcryIfFO5vCw/dSQPL5MbIuObP8iVr1WTDg/yrYh8JyJ9sti9NrDAKyS3DnOKDQjqO7cyHWOx57I1IrIW+z7dDOA54QYDs7z965Mm4ZElF3Uk4ZHLQmdFqOof2DX9L69AF9iY6RhKXhQe+JF4gO/E8yllyEg5Mzoi+vtq5ar1O+nok5oKskRGyigZKYXhwJoM1ATYxDGUi06mYagkxcOkRQt73Ugmv0dT77Vi0LpoIPKfA0f2Puupz1+QvhovffVUrJLqfwVvXQnFleq48jDmvHsQ06hqjKP34OjOsNqWR0SkuogcHfT+EmA38I+q/oVFSfXzmi8Htqnqr5k6Mr28i0Skjufsu6nhkbwP1CDtuzaIbKLwMpAvAX8ReVlENouISpCQtIiUF5FZXpXdNSLyWRbafoHtLxCRH71qu+95RTdybMvQx1TPjuBqv1VE5ICIrPbeTxGRh4La+3n7NA5a94mIDMrK1qLAc95dGhPDemB5gwbcfeWVnDNyJLVfeYXKL71E1Vtu4bjGpzc857aY8VI34i8GM5GdZJL/ucYbiBc3NmDyAqfktKGPTzbMxPSJxqdGdTq6H7gDuA631FXYbkRmh52fThtGEoiuVT3qQMpXX6Vfn5ycTFxcHAkJCQDEx8cTFxdHSkoKXbt25auvvmLRokWoKn///TcTJ06kY8eO6fr4+muoGBmn/1K5NESVDsWLxumki1n0dTLBCjXZfV4BZsyYQXR0NFdddVXIA8TFwXffwcl8l279y3CNiLgicoeIdPWyFLLHFUGixlGpcQQ9v4OYIypAxHN5PekSzmggq3Fba4KjoAuPv6tW4IIDU6L+ff22Jsm3jf6Ojz+dR8V6p8nKJ6Tyby8xjSwmbFR1o6q29wrJtVHVi1V1c1B7bmU64lX1elU9zuvrHNU0yR5Vna2qLVW1mapeoqr7srDnWlUd7b0th002oaoLvSJ0wdu2VNXOQe8PeHIgN1Hy2A5UxZUq4TYkrKiqv/hLiV94lIo8yis8il781sXJfx74U5NTkvXlJS9rucfKJUWPil7Lo7QusGNCOwUNLBO5TiuVT9TcsmDBAgU0MTHnfZKT7TAz6a3Bx7ya2IOgf4LuCFqdcUkBTQadD/oC6OOgD4HeDToUdBBoX9DLQM8D7QHaBbQ9aEvQxqB1QKuBlgOVcP+vD2uJ5QiNZZTGstdbRmksR4TdrsP57tsD13fAOkybbD7QLqi9BZZq+DOwHGgT1DYRuCjo/fVYkZTfgEnTb6aKxpKksVzt9fMvUCUXNjUFPgbEe38EFrq/HpiQw76nYwPzzRnOozxwXlCftwALs+ijMpau0tJ7/yrwXE5tIfqZ6n1mrwStG4xVslztvR8AzA9qn4Rpu1zrvY/C0tWOCd93RGtHRuocUL3ySk3+5hvVlBTNkj17VMeOVW1YN16rR+7XyVyrGS4svcN1Ljmc52egM8Jth7+U7AW0BWg86B2p62MRjWWexrJWY4kKt40FeK4LQV8LOs9KGotqbNp9wV+KcIETFQ7exDht0iBek5I0lSlTpig2CZZuWbBggaqqjh49Wlu0aKFVqlTRWrVq6RVXXKGbN29O3T8lRfW4ZvF6LVNUIU7hlLCf7+F9VmsD96RfaaJCsr7zTu4/L1XV1q1b65133qlZMXmyanREom6nrgbfAy+DN7C0x91ev8neGGwylv54ElAuYCvwdUwU+0dchuofn6uqatzPrl7ZCa1RibXeGK5P2D/TAl5Ay4NeAPpIZTnw4RlRC1POivpC+zFdn+dO/YZTNBkJ/mwPaS7GmIe9xHK1xqK/Lp2pp512mm7YsEH79OmjyUuH6e8vR+6PimBtuD+7fJzTNo3lzrDbUTTn2ta7T7UMuy1hXAIPQz4+JRYZKV2iI6Jjy0WVazj+/PGRfdv0JTY2lrFjxwJw0703MXbX2KQVf6wgRVMeBF7QEbkrY+6lBNYlTdurPtDgBjh5gomBAjCLi7mUWezfbyK4ObFw4UJ69OhBYmIiUVHZSzjt3Al168JnnMVZfJ66fhgvP/Mqw7ZjzpWhWeyuWLXajVgVpfKYoHHwa3nItY6UYloqgeVQiL9DrTucvw9hGjHZVwHJDktZuBNz/CQCLwGv4KSr6uoTCldWA5/j6F05bVqQiMhm4BJVXZ1F+4nA/6lq4xBtvYFBarp8iEgrYJ6q1s+uLUQ/UzHn5/WY0y9eRL7FqoreqKrtRKQB8CNQQ1UTROQn4F7gUlW9VkS6AG+FsrMoEKFJdDQLa9emztSpRJ+ZhySgAwfgkYeVl0YL9/MUTzI8UPr6QlQ/LByL848II4F+qqmRoz4++UKExzApgJaqmLSCK82xB/UHcPTF8FlXcIiwEZioypMAuNIS+AFojxP62utTiIjMAS74iea05CemT4f+/XPcK1e88w5ceSWspi1traD4fFTPLpjew4DIBiwlE4BLImbze6tefLcymugCUICOi4N2xydy0qaZzNB0/wQX1b5mgghWeOCkoKUjNlmYiE2sLq9Vha0je0fe/4ceV3nk5HUCMOv993n/taE6beCuX857OvGUj9ewIlzjhIJGhHrAfVFRXJuURJUGDUjo0F6ja9YSSUmBbZuTWLUyhb/3xtAkegvXJ47jNsZQwZQ5mqKFWEjOleoqUb8lNRhQ48LHt8sdd9xB9+7dueqqq1i/fi17/9zEyMv5fMiUlLMKzYbCwJW/gUdxdGy4TSl0XDkSe6Y9G0fnh9uccOELQPuUaGSk9BZkZrdG3VKmXDIlsn7V+uzdu5dnn32W7777jgMHDtCjRw+Wr1we9eKSF3l4wcNPKXoaljYYTZqDrgEZHHXea13S0s4V2Als2wDpKm12ZAUAy5dDjx4UKN99l/4YHmtf0WH3vwKIcCaZnXjJmAPsDWCsKqHSJ1Px0oYCDr0K+fw747rqQJ1c7JerKl8iJJNHR2CNSv/IGcd/0e74eo+2j4lKSPjtr6ZfzF5x0We7Dxy1FzibvrnqL06VFMouy8hcobY4cBvwQRZt6SrtYlF9AW3ALNs0dPWvg8BnwCUisgb7vv4QaFTVrSLyB9BJRH4H/gHmAYE0mR5kpTniSgwRMasAJSWhA44mZH26eUeEI6Kj+apFC2p//jlRtWrlbf/KleHFl4S27eC6gfdRVffzAE//jUV7FkcWA4+IUFuVP8NtjE+J5kmgL1Zt2/SRHP0ZV54BRuLK/3B0WxjtO2xEiMTGORkr04KfTlv0iJTDK5jQgp8ZwjiG3XwDp58eRaNGOeybAzt2wE2DE7mOGQEHHsBZiFSlpFWOtxS6AZxJnaB5bZ5KuZcO35/DqFHwWI4KYjlz/33Kjt8TGKUPB1b9A4wHHg2sUIuECehO/w9ARCKwyfWAU+/Eey/k+ujoqEg5smdq/81btCC+cgdJTpnXbOTl3PXxmnTFZUokIkQAQyMjebp2baJvuYXoa66Bo48mJv1QPwpV02icNKkhT7zxOG8kDmFs0g2HevFpgd+7PWfr8cA5b93CbZeeUumIa1/ey8UXX0zPnj2ZMGECtWvX5r33fmX36kl0veD6M3uNljOb3K6f59R3MSI1nbYM8A92rsVR2qXI8J14PiWdzYrKE2c+EVm/qgXSLF26lK5du1K+fHnKly9PgwYN+H3T79x/2v1MXjlZfv3y15NFZAfmYArcVRSrxrgVE8xcEvR3YNmhVlLcEFmIiZpSn200jN7B3LlHZ+vES05OJjExMZ1GR1JSEjExMUREhJaonPuR0ir6F2ok7g2s2kP6qlYBTbxkIBIbTLwATFclVJWiTHhRbge8pcgQQTAdv6wcgfn6u2LMfzUb1fy9edXy+4/++Y/mKV/+0O2f3QeOjFONOBlL16xAHgp9iJBAAUYV5uHvBFXCHS69DLgaVyJxchfBWtiIyHBMVyV/4tJ5ZzJW+GQNViwmIwuA7tiD75eqekhE/hKRY7z1M7Lo904gUIHsDgpQOF8EiYzk9erVqf3FF0TVPAy56Guugd27I7j37seppvveGKLjikMhi1As8V67ALPCaIdPCUeVQyLcCswRYZIq87ymp0hz7l0ZNgMLhjrY/TfYYReoVrs3HAaVcSII8nQ8x90siD+LC889hs+/jCa/1/A9e+Ci8xI54uB2xpCpOHzJeQ50JZB1ci0QzdnMYgHnkUJVgOP4kRdTbmfoE+No3lwOK4LxtddgzMtCXfbdeAybf8ai6pajmqOTRFVTsIm+H4DpuHKCIqumbe0Dh9LqRTVt2pT4lGhaPlAlYu+efx7o3Izr829x+BEhJjKSGUDve+9FHnoIKlbMdntOOAHGjIF77oni1qH1OG/2xxUUuV5NO+8w7ZGawFnAOd5ydKdm7L+yE1UHv9Octu1bcfPAKyDub0j8l5o1KiHxu6jatBeJWo4jqiaPx5XWBT25WoiUp7RUnc4JRxU3tYBImaXkXLx9fEKzPCYyZsvb699ueHK9kwHYvXs3NWrUSN2gRo0a7N69m0NVD/Hr3l+FX1iI6U9sI81RtzOdgy53XIcJYDcW4IbEsTw3fiQjRkRROVNdR2PGjBkMHDgw9X1lb8MFCxbQvXv3TNvv3g3Tp6bwVOJYBXZgotsvoxo86N6KRQYuxtJEPyspkWOegyrBW0IKt+YJVxoC92Pl2ndhjpE3cPRQxk29GcNy5D3CMLu/KwFH5aKPyFyekYoUeupyyPag9OVl3nkdRwFXtBORAZgjC2CMqoZykGXc527gMuAsVT2YxWZbgOA0ocbAH6qaJCJZtmV1TFVd4hUPOQ5L3+mYYZMFmFbe79hvFEwD8Bws7X4gGbEqdSNp/UgEKKx7dCSuzMRJE0nOFxYF0KYPb3WbmXzV5W++Sb4f/oK5/XaY+5Gk3P71uEuGCg8VA+dyJlTZK8L3WHGLWWE2x6eEo8qHIswCxorQRpU4HD2EK7cAc3GlJ45+GmYzD4dAKa4tGdZtwfG1dooc1UNEyrekmFRLRQ4xN+kcevzyNaeeXJu3342hQ4e8dbluHfS5LJF/N+9iQdJZVCatvlkSrIhS/Sfkjq5EAxJ2B4YrkcC5wDDsfvo78Dgwift0N/dLeyAWuzdzE6+xSY/RAQPulU2b4IEHyFNqbXw8PPooPP00AA/v0KNf53Buda5EINFvSI22KcR3i+D3tJ/a1KlTLfrrt+3seuu4pBPv2Dy6bnWJ/WNv5vFqcUcEiYoiNiqKS+fMQc7KYyJq/frw7qxInn8e7r2Xl7rJl42+pPtBzE/xHTCbHJ7RxCJZTyHNadcBSMKejcYD874dwZlzV/Ok++EyOv+4jE/eepwjKsGbQ6DvfDj9/Rc5lAi3ngXVy9MUy8r6LY8fR9HjSgQ2IVNWIvHAiluU6Ug8XxPPp8QjI+XxWpVq3fvHXX9ER0gEn376KbNnz07VxDv//PN56aWXmLJlCi8sfmFnYkpiPR2hBePkEqmOpdqduJsjaBy5lRtvq8DzL+QqQzRHbrw+hXem/MvvyfWpwoG5qJ4f2gyiVcmrE7L04EoT4AHgGizl+SlgCo4Wy1mpoPTlgkpdzst+uSUJiIuOTIjbP6nqUXe++eKf4+cP+YvC10GMVyUllCaeiNyJRcGcpapZpp6ISBVs4HW6qv4oIq8Ccap6d3ZtIfqZihWwGC0iZwJHqepMEekOjFav+peI1PX63AmcoKoHROQcrGgGqto8qM+vgeNuPkv2jBvWpDHnb4j6+++/Of/0Zvr9lvjkgwlcn5KiU7P7x2R10lghjj5AubMivyDi9K7M+yJtru7tt99m7NixrFmzhn///TeTJufatWu55ZZbWLFiBdWqVeOGG25gxIgRXtewciV4xQ7PVi2eKbUivIHpmHUNty0+JR8RGmIRNc+oMiq1wZV3gROANsX1PpMTIvQBXKB86vjBlenAUTh6XjhtK5O40pmV/B8vUi/Yb/QHdbgy8j0WpXRi2DDh7nuE+jnEn+zYAaNHw0svptBRVvJ/SZdQ35N2BEgBroSd78IVqvptBjuikOiVoPXRpGY4WTj6ChNXamAT5UOAJtiE+SvAhyEzAkROA9oBcQep8HElDl4eEcHzzZsjL71E1DnnQBbJLgAkJcHcuXDHHST+/jspyckMU+WNAjiPK4GZ1DyNqV8pm/84wKODrdj9hPd/Yttf//HYjR1I+Hsdra5fwaw7uLD1fZn1ZkXkZeAiLN29fYZxUZZtGfo4A6v+WhnzTH4E3O9FDiIiFwDPY5PM67DiXJlSrb1x0TVAB1VdZeu23A6tXmratBm//rqagQMH0rRpUx566CEA3nzzTfr378+mTZto3LgxAL169aJ3794MGjQoXf+PPQaPPZrE0pSTaE/qqfwBXIHqoiA7BMtkCDjtumOZSb8Cn2KyJgvTnYMrFYGTQ30+ITiAo8tzuW14caU8Nn6+GMcq4JZ6XIkFquDoReE2JWyEu7KGv4R/AY4FFmEC7suA47PZdhDwC/bA+gYQnZu2DH0sxCKvagWta4KNK2Z57xcA/YLaH8Ie8ssHrfsROJNHOZ5H0YWbFqqq6p49e/SEE07QuLg43b17t7Zu3VoTExO13gv1EniUZwv8M4SdgcpKk7lWQfWTT/Swee89VVD9H1eo13+KwrGF8R0osUsszTWWqV4F1Y0ay2CNJSbsdhXTBVS8KsPVvKrDjb0qxO29qsQ9vCrFl4E6XvXioVterv/758N7LPGqGz8POhZ0EqgL+h7oXNAFoItBV4H+CLoZdCfoPq/SY1YVlDMsNyjUU4hUOCoZGiWC/gC/rQcUjj4ITfdDk73QfJdnx6tw1SIYNhf0QdC74MHxUP0PqLITGi+FNZd759cZLrgNym2EqM1Q8WN4sAFoTMbqy5hT7PbMnyPd8arTBq37EVgS9D4gbP1ahu0a9OnMyyMuQ3XnF6qqGh8fr3+u+z8dcRnapzMv5+v/C8sDH+JmGiqozpmj6fjkk0/UdV2dNGmSQvrq2Pv379c6dero/fffrwcPHtS1a9dqvXr19MUXX0zXR5cumhgRoTPD/V3O5js+EDQO1L8O+EuBLKD3et+ppqnrY2mgsRzQWEaE277DPK8t6dbHslBj01+z/KWQl1iiNZZRGkuyxjJPG3KDwl/BN8YkIg7eyujZUVG6V0RTevbUpGeeUf30U9W1a22ZN0/1uedUzztPkyIiNCUqSvffyPjZiUT+l+Emu+tHS0udi8mwPAlB46ZYblM3Mln/Vz1RY6VovwuxtNFYJmgs/3m/r7EaS6v89AV6bFSUzgfVo4/WhDvvVJ0xQ3XZMtX161W/+0512jTV225TrV1bE0A1Kko/Am1cgOdTT92oeRe0lx2Na3KgbnUOntSE3epGzds3KXJ+9+Pkz3aN2NPyaPY9eIls0FhqhD4XTsdSBzcD7XLblmG79kAT7+/ywDeYoy4wXvkTK+AFNgH5XBb9TAWWA694n3N9kQmJdeueqG3btlVV1WnTpumZZ56pAa677jrt1KmTTpkyRVVVExMTtVKlSrpx40bNSFKSardTE7V11A8ZK9fun2i6dn2ASVgWkmKp/+8CNwbOr8wtsVTzqrX2DLstRXfOz2osK8NuRxgXPxLPBxH5ApiuqlNF5ArgPlXNJGTv6Tt9i4Uo/4mJyn+qqmOzawvRz0LshvGWqr7grXsc6AlsV9VLROQRoKGqDvbaP8dS+u5X1YVe5MsmoLqqxpV7vNwP17W7ruX4C8YDMH36dMaPt79HjRpFleOq0GVSF4AOOsJmjgoMkW14Ib0K9Itw+SCmN7M/iuKMM/LX5UcfwRWXJTMgcRIT9MbgpgtQ/ehwTS7xuNIKeBC4CnMaPwG4OHlOifbJDa68AnTC0dzOYGbCS18uT8FFFeY2SrECacVpciJQfbnQKi13arZEru3Wdf4fKcdVHjl5bbqQ3RHXtaG2/PDfa58lX7xuK38D/2H6VP8BB1WziCAWOR9Inb2fyZX0jXiLffsjqFQp8+ahqmNPmzaNe+65hx07dqSuGzNmDC+//DK//ZaWTTJqFDzxBH/Ex3N0rj7RIkaElljkVCdVvgu3PT4lHxFigFVY2ul5ql6clCv3AI8BrXE02+JRxRERXgXaqXJa6kpXNgITcfTJsBlWlrBqwG9izol7gbE4moIVXjsPOAbYjaUT7hOhHHBxZCT9IyPpnJDAUcHdxcSwOyWFZUlJTAfeVyUOkapYpNZR2Hf4I6zSumCOjxewSfx+GsteJPJnWt1XkarHweL+AF1wdEkhfgZRwMVYymw3LBhgLDAVRw9bZkWEVsB15cpxXkICzVXT5EwiIkiKjubH+Hg+BCar8svhHq8wCZWhkJu2LPp6Fdilqo+KSG9gkKr28tpaAfNUNVPMpxeJ9zNwPdASdFRU1Cn3vPhif5k0aQK9evVi1qxZ/PTTT9SpU4fu3buzdOlSXnrpJd5//30GDRpEz549iYuLo6InmhcfH0/FihXZt8/+3evXQ5s28BHncR4fpx77KWC4OZ6XYpF284Blmo0cSpnAldpYJkh3HP0y3OYUCa7cCjyIo7XDbUq48DXxyjgiUgs4EQtFBpvNeFVEmqlmGpReAcxW1Z3evq8Bw7GbbXZtoZiG3QBe8Co59QHG4RWKwCLxpnh9xWADmSewCJiF3usSVUtjSUhOmPHW+rdGdmvcLQogpkMMt71xGwC72c1ri14jJjJmU0Jywuo8fkQ5kgSzorzqsAJMTRlA//hIep1zOQ89Esl990G5crnr69AhCyV/9pkUBuh0xunNGTfZHmq/MoMrbbCozN5Y5FN/4H84ZfwGXvgsB27AlZj8auSo6TQe9JYixUtfLuh05SNy2Uc6rjj5/4iOikaOPCdjE1K3J+V2/1yp/2nJ8+99K9R5lE+G8klQLhFiEiAmHmLip1C+9rVBesYr6UCrYxOpVCmXFx5g9erVtG/fPl167UknncTGjRvZv38/VatW9dZBQgJ1RThClaJPs8qZn7HKZaeA78TzOXxUSRBhCDb2uBR4z2sajaWVvYor55ZAHTnTvwtg+mMN8CvTFj6mYTUUeBbYALTH0R9T203/K1P1dVXisSqoXiVUagFHYhNVu+LjQ1TltnTCNzOvVgVe8ybylwPrr3mNP6feeXS0HP8gGlGem4fdqyt+2Pn5ir6yTGGoqm443FNPxZWa2HPAzdhE+MeY/t08nAKSvAFU+R64G7jbc4I2xPSQ41JS+D0uruxJ0YhIHey57QJvVUPS/+43A3VFJCoLB9lB4DMod1lk5PdD69ZF2rQ5LtA3sbGxXHnllbzyyitMmDCBP//8k3POOYd77rmHqVOn8tBDD/Hrr78yefJkADp27EiXLl1SO2/dGs7qnsS4r4dxXnKaE+86+HE4dFHVvQX1WZQSAoO9sqaJVwtXyuHkXHCmNOI78XwaECTqrqrqCb83xHQFggl1kW+Yi7ZQbAV2ikgnoAY2gAjWuFoKHC0iDTAH3nfYAHoyVt69B/BF0PZv74vf99jV716d3Y1/mo4o2EG2iBxzLJzyDVDLWxdNEq5exYvJdzJi1OPMmBadcvudkRGOA0H1NtKxaxe8+Sa8/EICu/5IZHTKfQxlbLqC7HGUW1le41bbcYkAHga2qIasllm6cKU9dr6XYlodVwHvFpdqqWWAZVg13zbAijDbkmfUinT86y1Fhld9OQbPoTf95v7t+p0W+9G0rf0jgqvUpRJdmchj+nBX/Vidv/6x2Hnrjk2Ag5XhYEU4WAkOVYSD5SG+AhwqB3ExcKhqJbal89btoxpH1cybLuf+/fupXr16unWBAkHBTryj0uI+qkHxc+KpkiLCEsyJNzrM5viUElT5UoTpwBgR5qlyAEcTceVm4Cus2M674bUyzzTCUioD1MGeC7aE3tynQHClHjZJfSY2Of1YfrMIVPkL+OtwzFHVn0XkhC7HEntMTU6Rk16DqIrM/uADEmt0kWWPf1B+/rrkb85+irHYBPrh4cqJwC3YOC4OG9ePK4poVs8JWqyj7QobscjMOcCzqoel+TYZKryUnDylUnDBvqeeegqAM844gxUrVnDiiScye/Zs4uLiqFWrFps2bWLhwoX098oHL1myhJUrVzJjxox0nV98eRQPfdOVFIQIL/i5Nmz1HXghKYtOvG3ea13M51Dm8J14PuFkMqajVwN4naAqM6qaICLfYgOGYzBx0t9EpL6IlPfWp6qh6gjdSO4rfhYIInIVMOEX+H0inD/cUiG6AUSg3M0Lf3dKXjqx26av6912G31uv53o1q1JOvFEYurUMYGHP/6AZctI+P57okATLk+e9e8L3FmzfoaAu3+okXw2n9VfKbQD1mB6FTcDCSJ8UEwjYg4fV07GnHcXYOlMlwEfFOQsrU+u+AlL6zyJEujECxde2l08gYHVWzMfQcpFkLAX/lwI60am3+HPhXB0NSIiY+TTBx5tytUJp+TqQCKvYxENAESTSHwepfarVq3Ktm3b0q3bs2dPaluA+LQhYnGOXlgE3BRuI3xKHfdiEeAjgHsAcPRrXJkGjMGVeThapBMFh0n6SLzQ1Wp9ChJX+mCVMncDpxZqmmoe0Fj+fO3ziBZ/JB+r1DtPAH766SdOOvVsaNUq4iyeujNCkg+ISIxqPqLxXYnBIr+GAZ2x6MPbgFgcPVCAp1LiEZEBwJ3e2zGqWmAT9V5hr0+AD1T1xaCmLcDZQe8bExTgEQpVXSJyVEN4mzvu+J7Vq9MPDXv06MHEiRPZv38/tWrVokaNGnTr1o158+bx7bffMmWKnda4cePo3r07rVq1Srf/ySfDvqTK/MKxtODnwGo3f2de6glkfZTIIkv5JPCgHNCDLHP4TjyfrQSFTHsaGRkHdgG2AE2D3jcO2i67tqyYBTyDPeB+DgzI0L4Ai7g7BnNYASzBUinrYdF6RY6IVAJexipnjQPuHq56CJiLSDOs1P0B4Juu+nViCiDCrcDFq1fT8fvv6RgRQS1Ak5P5KzGR5cBykNkz6ZOEneu12Of5DzDzY86dupKOr2BCtJ9h+iFgjstrgJeK5uyLCFdOxZx3PbEozAuBj0pgulLpwNFkXFmBOfFeC7c5JZbIct/1eelgm1Wb55SLS1T5fMFXiV8/Wm4nQPdR8XU2/qXR5aNFP2wo8f93V8W8pILehV2PIgGO5Rfe/FFQBcllQF67du2IjY0lKSkpNaV2+fLlNGnSJJ0Tb8MGiIwkLjmZP/JgX1GzGHhchAaqbA23MT6lA1X+FGE48IoI01RZ7zXdi010jMDS9oo9IlQFqpN+nNYIKzC2Ixw2lWqs2uqrgANMAO4uZs6rB8rFRNaQI85LvWO0bduW1157jRuue5Nln74RrfpnTUxGYmeue3XlaEx370agJjbuPwNY6I/nQqOq04HpBd2viFTGHHifqOrjGZo/AcaKSEtV/RGrCvx2zr2O+OSII44aUL16lUz+hB49ejBw4EASExN5910LUu7WrRu33HIL9erVo169euzevZt33nmH6dMzn249L6zjb2oGnHg/ACGERnwom5F4O7H7Vb2cNiyt+E68Mo6q/iUiK4F+WMWhy4FtIfTwwFJFvhGRR7HiFTeRdpHPri2rY8eJyB14gu2S+WlzgddPkndTAfgSc+58m6/ZwMNERNph51ULuFRVZ6XbwD63TJ+dKvuwm3ION2YFeNFbUukL9BN6YmmNlwQ1RQK3ijDG0xwr2bjSDXgEG+QtAnph+ij+YC/8LCf9TK1PXrny39tnXsntoZoWXnUY/ar+ixUl+j8g8mS+Y++BaH78EY47Lm2z5ORkEhMTSUiwS2d8fDxJSUnExMRw2WWXcf/99zNixAgeeughfvvtN55//nluvz29uYsXQ0QEK5KSKM6p7N9hg7su4DvxfAqU1zGH+XgRTldFcfQvXHkA08abhqPrwmxjbggVddcQ2O4XiCpgXDkLG19HARfgFLPiZK60gIjh0uCyCBLSJmx69uzJd999R4+zz6Nlgw5Rx9f/mCWj6Ahkb78rgskZDMOeKfYBbwDjcdSP8swHIjIBOB9Lef9URP5V1Wa5aJuI6ZXPxiIfTwYqichlXtfvqOoTqvqviAwGZolIFLAeCxDIgWG/VqgQ+tljxYoVJCUl0axZMy699FIATjnlFDZt2sSgQZZINWnSJGrUqJHaHkxg1B+R1n0jLOrqt0wb+5Q9J56jSbiyE/tOlEl8J54P2AzZVBEZDuwHUsUNgm8AqrpRREZgVWjBNOomAGTXlh2q+l42zcuwVNvgAcOXXr+Tcz6tgsOLUByKVfFaCpytqkX9cHgfcEKI9Y0xp9f8IrWmoLAB35mY864r9t05E1jgO++KFcuA23GlIo4WeXEKnxxQnYXIEcDIDqw8r07UrqaTJh0V+fzzaZvMmDGDYO2aypVNl2/BggV0796dTz/9lKFDh3LkkUdStWpVbrrpJu64447U7ffuhZkzSU5M5P0iOqt8ocoBEdZgD5L/C7c9PqUHVZJFuAm7Hl6DOWfAnBQDgfG4cnoJkHwIOPF+z7DOd7IUFK5UwApq3ga8D9yIo3+H16gQRESPISU5kvi/4Y9NsDxNnvrhc+Hhc9ux8se/iNsaTaUKjMOVY0J+v+18r8b07toDKzGZh5k4eqhoTqZ0oqo35rNtcNDfT2AajFltOxuYnQtbrg16u/XPP4mOi4Pu3buzevVqAGJjYxkyZAhz586lZ8+eqRtXrlyZxESbI0hJSWHChAlcf/316QpqBfjVC4eonyp9RkXst3RrTjaWQcpiOi2YLl6ZjcQT9Z+RfXzgrZg70MTfcTI7FUXkSMxpeAHwGPB4UZczF+EW4JUsmpOAj1TTRegVf8x51wtz3nXGnJCP4ehXYbXLJzSuNMFmQE/D0W9z2twnvIgwvFIlRm3eTGRQMYrD4oknYMQIDiUnU9eLLi62iDAWOFGVTuG2xaf0IcKrQB+gRaomrSsdsSjQwTgFp2NVGHiOyKdVqZ660pXZwAEcdcJlV6nBlQ5YRdj6WETa9GI7KTmz4q2XvRD/8NrfUyrFJRHR4EiJXzwq5qd/DmhEr6cSm4tAzaqSOPGGqN/r1Ij8kj4H70i3vyuNMBmYwVjBo3ew1OHFxfacfQoEEZoDPy1eDJ0727pXX32Vhx9+mNmzZ9O1a9cs9507dy4XX3wxmzdvpl69zH6YZ56B0Q/vYkdizeAif2tQbVeg5zBSaukIPaziMGHHlfOwgJcqxSxNv3Bx5T0gCUevDLcp4cB34vn4uHIR8AESmYAmt8DRzYEmEekGxHpv+6rql+EwUYSHMAeiAslkjqJNARqqZqiIURwx592FWFr0icDHmPNucVjt8ske+7/twv5Xo8NsjU8OiFA9OpofzzuPmu+/T0RutfGyYu1a6NiRlKQkRqiSUU+n2CFCXyxKqqoqfhSIT4EiQnVMB+991aAiKq68gkUjtcDR3eGxLmdEeAo4XzUout+VNcBcHH0gbIaVdFyJwjQSR2KSINcEjylLDTYe6IE5KC/CKuROACbgaHHWS/UpQESQ6Gi23XwzR48ZE1gnREVFUa5cuXTbfvzxx+mcehdeeCExMTGpennBqEL71gm0+eEdZmi/1PVrYV9b01L/AlhxOAEVMlLKASMFuQd4Q9G7dUQJdYC5cinwHhBTpuQQXHkZ6Iijp4bblHAQEW4DfHzCiiuVkOjxNLg8hUqNI5CocbgiIhIlIiOxG8VyoG24HHgA3kNzfSx95y0gkJIR0KWKwCLaii+uRODK5ViV2Q8w8eyTcPQ834FXArAZ9eWY49WnmKPK3sRErv7gA+Tppw+vr5074dJLSRLhO+AweysyFmOTHf731afAUWUvVlDmBpF00Z4PY9HxT4bDrjzQkPSptIF1fjptfnGlKfAVVuDkAeCMUufAc6UyrtyMaaZ9DtQ66WE+k77ES19GSF9qB28uIi+LyGYRUU9TOlvE+EJE9mZYf4GI/Cgiv4jIeyJSNYv9p3rHah+0roqIHBCR1d77KSLyUFB7P2+fxkHrPhGRQbn4RMo0qmhiIi++8QbJ//wTWKckJiZy4MCBdEvGqLw5c+aEdOABfPEFrPk+hts0fc2+j+AXLKV2CbBbRGaLyG0i0kZCCKtnhYyU9tER0avLR5W/+64ud0VUKVdlUHRE9PcyUk7Py/kXI8phQR5FmiVWDNhOGdbE8514PmWdR9bviKp92n1bIro+USHqtEeTzh0+k1FYUY37MO2FS1XDP6OuynZVZqgyAKgNtAJux6pKpQADRVKr1hYfXInElauAtZjw/q9Aexy9GEeXh9c4nzyyDKtQ61MCUGUBcNvw4XDvvZCQj1JAGzZA584kbt3KtsRErlAtMYPETViRpS7hNsSn1BKL6fSOF/Gi4x3dC9wJXI8rncNnWo6kd9i5EqparU9ucEVw5XpgDVAZm5x8HkeLc/GfvOHKsbjyEqZB9RKWNt4RR09dvpEngdPI7BQGG/Nl1RaKO8hQuMCrqjoJuERVj8UmgB/Opo8VWPGZAH2wyqYBFgDdg973wLSuu3vHi/Js/iKXNpd1JiYlsWfIEFIKIrnvwAG4eXACPSM/40RWBDetfgC6AXWB1sBD2LPPSOz54k8ReVtErheRpqGcejJSomSkPCzIspPqndRsw5ANkc+d8xw/Dv0x6qwmZx0NLJSR8oKMlPIZ9y3mlAfiymD6+jbgaFwpk/6sMnnSPj4AuNIa5K5apzwS+eHceXy9dB0THj5PP1vPQ1UrUBPopKpjtRjmnKuiqvygyquqnAtUwlLH3hfhThEOM3muAHAlClf6AxsAF1gHtMHRK3B0dVht88kvy4DmuFI93Ib45A5VXgGufeEFEk84gaQvv0yr+pYd//4LDz8MbduSsmMHaxMT6Vwi0vU9VFEsGu+UcNviUzrxvmNDgDaYJliAt7ACTeO99MriSMaou1CFLnxywpXaWDGACcA4zIG3NrxGFRCWPXEurswFfsYqzT4N1MfRgTi6EkBVv1LVbaG6yK4tIyJyPHAJmaO9zwVWqeqP3vtxWMp6VrwHXCAigXzOgaQvhrcA6CIiMd7707ACJN299ycBu1R1U27sLuuosi8xkf4zZxLx2muH11dKCtx4fQq7tx1iUvK1gdUJWOGgHqgeVGODqr6iqpcAR2L/sxewYohjsGCBzSIy2Yu0PFpGynHREdHfyWQZVeGlCpFn/n5mVJMaTQCI3x3PoqGLIlvMaSERUyPujNwQ+ZuMlJIUxV+OslSZNo1tWMZFrXAbEg58J55P2cSVCCT6DWq001qd7qF69eoAlG//iJSLjmDnOD5R1TXhNTL3qBKHVRm+D3ie4MiAosaVaFy5DvgRcyx+B7TC0atxdH1YbPIpKJZ5rx3CaoVPnlBlWkoKrX77ja+6d4fjjyfx+efhm29g/35z6qWkwG+/wbvvwnXXobVqkfzUUxxKTuZOz4H3Z7jPIx8sAroUi0kNn1KJKj9g99zHRagLBKQHhgLHY06+YoU3NqhH5sq04Efi5R5XLsHSStsAPXD0Xhwt+Q/SrlTDldsxzce5WJTPZUATHH0aR3cV9CFFJBpz1NxImkxMgIyp35uBul7EXCgOAp8Bl4hIS0AIisRT1a3AH0AnEWkI/APMI23Cpwd+FF6eUOTQSB5hyBAYPTp3E4UZiYuD/n2T+b//JeMmXUk9dgSa5qN6A6p7Qx5bNVlVl6vqM6raE3PkdcOeP44FplCe7ZIsG5of0bzdZx98xtjRY4nIELzVrl07flz+I7+t+o1OvTrVBpbISGma9zMJC2XViReYWC6TFWp9J55PWeUaNKkTnd6IIiISgKSkJIbeNYKH7x1ChRgZhittwmxjnvCi854DrgAGAB+JUK3IDHClHK7ciM3YTsDSjFrg6ACc1BlUn5KMozuwwa+fUlvCUOXXpCTOAk758UemP/AAB7p2hWrVICoKIiOhWTO44go0Npbv4+K4MzmZBqqMKUEptBlZhM3QNgm3IT6lmseBvZgzz3A01bmHK3XDY1aWHA1EkjkSbx+O7g+PSSUIV6riyiTgfawi5Ak44dNMLjBcOR5XxmMPxk8A87HsiTNw9H2c/BcRyAUjgPdU9Ycct8wdk4FB3hKqUnQgpbY78KWqHgL+EpFjvHULCsiOssLgh3mMp7mPO+6Ac89OYuPG3O+8YAG0bZXInHfimJNyPj2ZF9y8Ny+GqGq8FwE6QlW7AjWI49yoQ1F/dzi6g5zZ7syQ+61fv56uXbvy4NAH6Vi1Y2RMZMxfmCxHScDSacseASdemdTF8514PmUPV45Eol6i+S3CER0BSElJoX///lx88cX0vHY0HNEhBYmeWBLz7FV5D5uFOgH4VoTGhXpAV8rjyi1Y+PorwKfAsTg6CEd/LdRj+4QDXxevhOI5+henpDA4KYmqQGPggpQUHOBKLBKhanw8rVV5WZWwa4EeJiuARHxdPJ9CRJX/MP1cR4Qzgpoex6J8XgiLYVkTKuquEX4qbc640hXTvrsYuBxHry3Rjk+TPbkUV77AogrPxvTm6uHozRmzJ0RkgIis9paBBWhJN2CYiGwGvgGqegUxamLf00ZB2zYG/siuMqmqLsGc1VcBb4fYZAEWcdcDS30Hm3g+BzgVPxIvr9QW4D6e5Su6suXLTbRsnkzvy5OZOxf27k2/sSps3w7TpkHXLomccQY0+/1z1iYfzzl8lrHv6YdjmKoeUNVPEisnPv3eD+8lxyVl9nXVrVuXTZs28fXXX3P66acz8emJKQnJCTN0hKYczrGLkLIZiefoIewe6zvxfHzKBvIs0VUq0+peSPwXTdjP4OuuoW3rltw8uB8kH4QOL0ahSSeTXhy3xKDKMqATJvq6VISTC/wgrlTElTuAjVjEwSygKY7eVOoqsvkE4zvxSgGeQ+93VT5S5S1V3lFlsSoHwm1bQaFI5G2M3jqHC+5DZDQiPZGSNzHjU/xR5QNgDjBOBNPicvQgMAy4GldCh3+Eh0ZYFcM/gtb5lWmzwzINnsYcPd8DrXH0vTBblX9cOQpX7seKSLyHOQDOB5rj6EtegZZMqOp0VW3nLaEi3PKFqnZV1Uaq2hjTqNuvqo1V9W+seFsHLzUWLEU9lGMuI7cBd6vqvyHaFgCdMefhN966L7GK09tVtcTovxYTUp29XfmG1UnHMyF5MH/MXsb550ONGtDg6OTktm1JaNOGhCOOILF+fbjuOpL0u+WbP+UcPkw5l8YZ5xFa8Q+xLCkgG//3X+J/EXN/mZupoVy5clSpUgWAY3scy6EthyIwbdOSQtl04hnb8NNpfXzKAK5EIlEXkbAnklkN4J2qfDS8Gq77Jp/EPkr3tlW57JSqML8boBBR7jIAb0bwp6AZyD4ZuxaRgV6Z+ktyMkNEpnrbVg9apyKyLugYXbPY9zoR+V5EVolIh6D1o0TECbxXZQs2GFoJfCnCFbn/oLLBlcq4cg8WZv4ENpg6BkeH4ejWAjmGT3FmOdAQV8qkkKxPCUHkHGDraO5ocgEftcYe6D4BVmE6SD4+Bc1tmDPsrtQ1js7BCh+Mw00V2g83DYFtqum0x3wnXla40hqrXjoMK2ByAY7uDK9R+cSVDrgyGXvwfQBLCW6Bo+fi6FycvEceicgEEdmGRcN8KiK/5rJtoohclFP/nhNuMDDL278+8Fgu9vtcVWdm0fYH9n3/S1UDE1eLgGPwo/Dyw6uQJrsRQyIDmco3SV3YRj3e55L/9v3x3+Nr1zJm/Xpe2ruX+4AzUlKo+U3KKU3O4bM7JH1V4m3U4WXuJx6YjytHHK6BOkK3R0dEL3pr3VuZvuP79u1L/fsl9yWkuvyHRdyWFMpRNtNpwVJqy2QknhTDwps+PoWLDcga5HLrdTi6zQvxv0Q1dFVVEWmMVWAV4BlVnZVVhyJyGVZtazBQQz2xVhHR4PfZ7L8JK6/eEbhVVa/wqno94VVqyrA9UVi1piHA/cCzXlW9vOFKVeAW4E5Mf2Es8AKO/pXnvnxKLq4cBfwNnI+jmac0fXzCjUhTLDKgfBZbrAdOwB8A+RQwIgzH0hFbqXp6Sq40xqK3nsDRJ8JnnSHCeMy+bqkrXdkCvIqjz4bNsOKGyancATyJTYYOwNFfwmtUPnAlBitMMQyTTPgBc7rMwAkZpebjk2fipPxVgrrlSMhYSGoPcAmqX2XbgYhgqdIRwCZUU3ClGWlO1SeAtw4nfV1Gyo0RsyLGN49vLvFx8TRp0oT58+cza9YsRo0aReUqlVmyY4kmdkscoxP1Ds+sY4FpwFHAPuBaVd2QxSkMwp6zIjy7h6hqYk5tGfpYiP1O66va85WINMEki2ar6iUisgCYpKpvAgzsJovdb+mUkExFVY3z9vkRGKqqn+f38yoRuPI6lgVWnKLdi4TwVK/0KfEU4EWtDaajVtvb/EHVzCkK+bmoichDwENA9RAXtY8P/1NItS0CmIgNkLLVvhGR2sBwTIdjcD4PmYw9nFYCErzjvwRcH2pjVZJEuAX4BXgROFaEm1XJdPMIiSs1ML2f2zEx7JeB0YVRocynBODoLlzZhKXU+k48n+LIbWRw4CURyd/UJIkoKnOgdQ32ng98GB7zfEoxL2CFpcYAFmXk6GZceQx4BFdcHA23WHp6/TtXAtVq/Ui8AK40wqpbngaMBJ4u5MIOBY8rdbBqrzdiY+w5wFnAF14FZR+ffCFCNPAMsBN4WZW4CsTVb8jviQvo8XoTNrXAnlXmA9OxtOjssUm19NdGR3/FlV7ABuA14FVcmQfMBObg6J48mv6uXqJjO7bpGNmkhtW7emTBI1ANLnjhAv767y++XvG1eMcKMAF4XVWnisgV2HUhk6SMVxTlMaAD8CfwAXADMDa7tizsXAv0J+2Z8jpM4zdAoDDLmwDLN9Hw2Lr8u2EbnYGFIlIXc4h+m9sPpgSzHYImpMoQvhPPJ78UxEWtovd+gKp+IyKRQHYh03m6qGGOstVQYBe16WIzRd8B92vaTelO4FtVXWHN2fIGcK+q/pvFtp+LSBTwOfCwqv4XYpt7gc+Af7HB2RDgI1XNUpTai7wbLcJGTOfhGBGuUCXrG6BFXN2BRd+lAKOBl/Nx0/Qpffi6eD7FmS4Aa2nDFAbyTfQZrEs+jviUmNQNqkf/978D0XydlMS7wNuqlFxxep9igyrxIgwBPhfhYk8rD9Kce6/gyoVhdqI0xCLLAhyNTbL6TjxXBOiHRartALrg6PLwGpUHzP7O2KTyFdg4cSIw3tcq9ilA6mDPBwC3i/AMMHILjZ5sohtHFuiRHP0eV77BHOpRQC9vUa8gy0zgg9wEFugI3RU1KmrGuz+8e1pW20RFRP2U+HDiTwAiUgs4ESt4AvAu8KqINFPNVLjvCiyoZKe372tY0MbYHNpCMQ0LzHjBC9ToA4wjzVm1AK/qsojE1KpK1dvPZdPwmXTHCrV0B5YEAlhKOaaJ54qUtckJXxPPJ88EXdQCzrJ3gQYi0izE5qkXLrVZlteAq702B7vIfAOgqsma/WzNNOAaz4bARc0Nag848RCRGEzb4o3AOg7vona6qp6AOSN3ebYgIq2By7EqdNkiIoOBLaqald5GI1XtiEUc1gSeC7WRqr6nqh1UtRvwH1Yl7VUReVJEZopIluk6qswGugItgUUiNMm0kSu1ceVZYDNwEzbb1hhHR/oOPB+P5cCJ3gODj0+x4iu66mlRi2nLWuY0HMopN7fltUkxfPklfPstfPwxDH+iUoWLLuLs6GjGR0bylwhPiVAx3Lb7lHxU+QIbm7wsQiUAHE3AJtzOx+7ZYUEEwSLxMlamJcO6bLWAc6MT7G3XXUQOBW23WkQqeG2NRWShiOwTkdXZ2y0TPM3gL7z9An3tF5FNIpIkYrpZInKSiHwrImu8bc7Ipt/+3nbry0XLlxu2MQerhjlt7Dy6SF+uFZFfvGO/mUUf54nIem/pGbT+OhEZnt15FRiulMeVa7EJtkXAcdj4rT6O3uc78HwKmCOD/q6DTfJHYt+9wmAKFkwA5ruI8I53JvA6sAPXris5kfRI0sBDDx46Nqsl8eHEC4I2b0BQJWTvOXYLaRW+g2lI+grfm4O2y64tFFuBnSLSCXMgLod0QRdLgaNFpAHQ+fj67Ol1Ajuw4BW817Ki7bgdy0yrFm5Diho/Es8nP2S6qIlI4KKWcWYiuwtXKyBeRD7ERCnXAndl48gLvqjVIPuL2jFYxNxCYDLwKIdxUVPVLd5rooiMBn72mrpi0X2/eJF1dYDXRaSuqo7P0E0P4HQRCb5BrBWRi1V1VdAx/hORcdiNKSfGYJGA3YGjVbWPiEwTkR6quiD0ubBShE5YasVSL1pgEa7UBe7BBn4HsBSS8Tipor8+PgGWYek59bHfpY9P2BEhEnhM5MsTu3RI4ounoVu3GCJCTFf26mW7/PMPMnky5UaM4J7ERPqK0FuVpUVruU8p5G7gR0zS4wEAHF2AK7HAy7jyGU7ISPvCpjpQmfQOu4ZkrlYboE9WWsA5tAXzk6q2C7F+P/b5VMP0rkLiTZYeq6ptROQR4AJVbSci12NjwRSgm6r+42VLvI9JvMwXkebAfBFpoaqHMvTbEpssba+xtJ28kLdun0GFzx7gHBz97Ja+8hKgQHNvnFsnCxNHAed5f7+HFXCojWWOnJ2Lzyf/uNIAK7ZxPfa/fReTPvm2rEWl+BQpwU68wGRuNDBPhLnAXar8WIDHe5/Qz0QR2LVrDaUvMGkyMAi7xr1OUAVWVU0QkW+xZ79jTm/JP+0b8w/QSUTKe+sHFbnF4WGb91oP2BtGO4qc0vaF9ylZRGH6HDcC7TFvekbHV0YCF7VB3t+pqGoClirb3VsWqupvQP2gi1pIx1Z2iEglCaoii0USrvKOOV5V66pqY1VtDCwBbgjhwENV+6pqg6BtAU5Q1VUiUsNLLw6OMlyVg119gB9UdR02CxEYsKVgg/QsUWUb5oBcAvrFk32Gf4JpUVwNPIhF3j3nO/B8smAF9n3zU2p9igUiREVG4kZFcd/YsSJfL46mRw9COvCCOeIIuPtu+PlnIrt35+jISL4USU2d8fHJF6r8gTmo7hahVVDT3UBVrPhFOAhMov6eYd02HE0OsX2hoar/eJkYOTkzE4Fy3tgooAVcFxuvvIiNByd52x4J1FTV+d4xfsYe7M4N0W/rqAg2aCwPAx/3PIEF89cTI31ZKSKVvH4f9KJvCKTCZWFfxYBt3rqXgPsCk90FiiuCK91x5V1sYnwQNnZujKNX4eg3vgPPp5AJJX0UuNueBzxVoEezLKD5pEXjBUjBgjO6F9KkyFagridzhDdJkFUl7y2kRTWDBXhsyUVbVswCegJtMYmljCzAgkN6nN+e/UA89gzaG3NolZXJyO3ea5mrUOs78XxyREQGBKUuDKRgL2oLVHW7N0h6E9PyyI5Z5PKihkXhweFf1GoDC0RkrYiswzQJBuRmRxEZJSI35WLTlsASEVkDrMMGordn028NYCimNwjwCXCkiKzFbq6f5HRAjZWjEqZF77i158vRD/7vyZ6XvPj+Zzv21G2Coy/h6MFc2OxTVrGKdj/iO/F8ig/PR0Zy+SefEHHzzTk77zJSrx7MnUtknz5ER0QwR4TjC8dMnzLEeOx+PtZLYwVHd2ITZXfhSqts9i0sAk68rRnWZfVAOd1LJZ0kIjXz0BZMUxFZKSLLRGRIXg1W1Z+wsd1KoAk2VnwJyxw4GYtU+dDbdhfwh4hcCZZaC7TAxp7peLEfVKlA9x920Bdw6g9jIaSmGzcF/gGGi8hyEflaRLKqfngvJrEyFbjby7b4U1W/y+u5ZosrlXDlRixrZQE2ph0ANMTRR3B0e7b7+/gUHEdiEXAZUez7WRhVuN0Q65KARworqtkrpLgS08kEk0/aFkIPDywK9iIRqeM9F98EvJ2LtqyOHYfpDt6qqhmdl2DXgLOARic1IRmIA77EJoi+9QJbygJ7gYMERSqWFfx0Wp8cUdXpmEZIKiISuKhNJeeL2jci8ihW2CL4wvU/YJCIVFXV/djszZocbIkTkTuAg6qaIpkluRZ4x0hS1UAo92Fd1FR1IxYpmJttu2d4/0g220rQ34uBE/Jg0x7g9KD3CQQq4eWElWx/ABgQHZW0fcyA24e8seD68h+suOTFD1Zc8hq3cIMq8bm1xafMYrp4Pj5hRoRewG2TJsGZWT1m54KoKJg6lYiffiJi7VpmitDRvxb65BevMvzNwGKgL2k6wq9hhbnG4UqPIo6aagT8o8qBDOtCFcY6XVW3iEg0pvs7jbS00ezaglkJ1FfVfSJSH5grIrtU9X95MVpVH8IiGxGRizEn5Gbss92HjUNneptfDDwjIg9gVS2/Idjh4Eo08OAd5/JQpXJsaD+cpPhE7gI+wh4Ik7Dno0bA96p6v4i0Bz4TkeNV9c8Mtn0NdPJsq4JVbe8lIrcDp2Jj3zvz/VDtSlNMT/E6LOLvbeA6HF2Wr/58fA6fI0nL/gH7zcQD9wGvqVIYUb0fYJF3gSm6V7AAiE9x5VwcXVwIxwTLFpvq6VvuBwYGGkRkIqb7PltVN4rICNKKJy7EikCSXVt2qOp72TQvwyYwPsImYuKx590JZMhUK9U4qriyHT8Sz8cn19wI3CgiPwP3k+GiJiIXQaoDLHDh+hX4m7SL2hbgSWCRF0F2BuaAyxavsENWkWaBi1rwDOiXwLGUHZHP0LjSAlemAz9h0YQ3Asfi6ISD8RXHABcAl2GaFkdm05OPD9hvzS9u4RNWRIiIjmb8FVeQ0rfv4fcXHQ1vv02UCMcBgw+/R5+yjKev+DrwggjVAby01Zuxibh+We5cOGTUKQ6syxSJF6wFjAnXd81NW4Y+9qvqPu/vbcBbWW2bG0SkKpaSPAKLxGuAjVseEa9ghqquUdVeqtpeVfth1Xc3ADYOsvHofcBdN5xBu7gE7aCqJ2KRkxWwseoWzGEQ6/W5CpMcaZODiU9iUUh1gItVtTewG3Pi5h5XInClJ658CPwCXInp9zXA0Wt8B55PmKmJaeAFHHkzgaaqjC0kBx44uo+0LKP7gduw4IWvgc9wpVtWux4OqvqTqnZR1eaqeqInYRRoG6yqs4Pev6GqTb1lkHd9zLEtw/G6q+qsEOunquolQe+TVLWKql4FlAPiPVtFVZ8umLMvMViF2jKG78TzyRcFeFGboaqtVfUEVT1XVUOK5OfzohZsa1m8qBmuHI8rbwE/YKkn1wItcXQyTvD/go+xWeNjgMUiHBsOc31KDMswIe1QVal9fIqK8xMTaTxyJBEBd/Lbb79N165dqVq1KiJCUlJaEM7SpUu58MILqVOnDlWrVqVNmzZMmTIlXYfNmsGAAUh0NHeL+OMkn8NmODbeTqti7+h32ITm87hSowhtSe+ws0mYjNVqs9UCzq4tIyJS19OyC0SpXZDVtrnkaWCUqh4EOmAReT9iDoWYwDGDjn898N+Iy/gCV4Z6x44COuLoGOlLbW+7SOAZYKyqHvTScj/H5FsQkWOwsdEPWRkmIp2Bat4kc550ilNxpSqu3Ood5xNvv97AMTj6JI7+lat+fHwKl0Am0O9Ad1X6qfJndjsUEA7QAUefwVHF0TgsCvcT4GNcKat6tuWgTGcNbMOPxPPx8Sk1uNIOV/4PWI+l6jrA8Tg6Aye02LIqa7G0kP3AEpG0lN28ICLzPA3B1Z6WTPugtl6exsxaEVkiIm2z6aehiMwRkZ9E5HsRGRbUdo+IrPfWv5/hoSK4j+u8bVaJSIeg9aNExMnP+fkAlvqehJ9S6xNGROh72mkktwpSF6tRowZDhgxh9OjRmbbfvXs3l19+OWvXrmXfvn28/PLL3HbbbcyaNSvddrfcgiQm0hj/++1zmKjyDxY1NkSEjkFNwzENtsdD7lg4ZIy6q445ijJG52WnBZytTnBwNgb2gL3O0/tdAnwGTPG2qygi24B3gFYisk1EshTEF5FTgQqq+pm36kjMIbcOmBGI+ANuEJGfReQX4MLbz+WmRy/nY+DlW6exMGYAc3H0e2/bySLyPfAzlpY7POiQNwH3eOc4C7hRNbTunJdW/AxwF4CqrgU2ish6TKP5zVD7peLKcbgyFhNpfxrLIGmLo91x9N2sxmw+PkWNN8HfCvg/oLkqXxbZwR39F0dXZViXAFyFVYaegysXFpk9xYfymCZeWWU7ZTAST9QvYOTjU7pw5URMA/AizNHyGPA+Tkhh1JCIUAmYgc2aD1JlRl5MEJHqqrrX+/tS4FFVbesV5PgV09PZICJdgfGq2jpEH4Lprj2tqu9462qr6p8icjYwBuikqv+KyENAXVUdGqKfTUBroCMmEHuFiBwPPBEcxemTD1xZBSzA0TvDbYpP2aRced32wP1S79FHM7ctXLiQHj16kJiYSFRU1hLAl1xyCY0aNWLMmDGp61JSoFr1lOQD7b55ha+63a0UbeVOn9KFV9jiSyxds3NqypkrAzBt4U5FkSIpwnbgRVVe8I7fFlgNtMLRLKPMSiyu9MY0CPcC/XF0UXgNCsKVSGyMdQsmUL8JGAtM9qpx+vgUK7zr2HwsnbajKiFTQsOC/Z5ew7KNrsbR/wuvQUWIK1uB0Tj6QrhNCQsWZT0SR48KtylFiR+J5+NTWnClC67MxdIc62Hizu29WdxcO/AAVPkPuAJzlE0XYVRqdb1c7W8OPI9qpKWVNAV2q+oGb7uvgYbBEXJBnIlpPLwT1G8gXL8t8I2q/uu9nwv0z8KcZGyWqhKQ4KX2vITpafgcHsvwK9T6hAFBBsj+qssS4qVe+1yVHQrN/v37Wbp0Ke0zdBIRAW07JkfS4qfbgd8FueGwDPYp06iiWHGC9kDwd2kGVnhhvPcQWmiIEAPUJX0kXqBabVbVaUsmrlTHlRlYAbV3sai24uHAc+UIXLkHm9CchaXbXohpFL/gO/B8ijH9scjSG4qVAw8CWqM3Yo68mbhS1Hqj4aSsp9NuB47ENV3UsoJfndbHp6TjSlfgEWwmdwlWIe6Tw614p0oKcI8IvwDjgGYiXKeau5BtEZmO3ewhrWrdL8CRInKKqi7yUm6qAI2xKnbBtAL+FpG3gRZYJbq7vGIpK4AhIlIHq/zWF6giIkeo6j8Z+rkXS+H5F7vBDwE+UtVQ1fh88sYyoC+uRPnpPj75xpWjgP9w9FBuNhfkVWAoCTEAVK2av8MmJCTQp08fWrZsSb9+mcf71atEwMGKYJMiEwSpoOiYTBv6+OQCVdaL8BLwlAjvqfKnV1lvCKbVdiN2ry0s6mHpu8EOu0bAbhz9rxCPW7S4cgYW3VgOuBBHPwyvQR4W9TgMG68kYjaOxdGfwmmWj09uEOEo4EVgvCpLwm1PSBxN8TQlDwHTcaU8jk4Mt1lFQFlPp93mvR4N/BZOQ4oSPxLPx6ck4orgyhm4sgD4Chusng2cgqMfH64DLxhVXgfOBc4H5otQM3f76QBVbQA8hGnF4GnWXAE8JSIrgHOA7zFttYxEYRWLH1PV9sCn2Kw6qroAeB74EHNc/u3tk6kfr5pxB1XtBvyHRSi+KiJPishMEXkiN+fjE5LlQEWgZbgN8SmhuNIB+BOJmpmbzQXpAljafHkbsx44kPfDHjx4kIsuuoj4+HjmzJkTMt323/9SoEI6v+IIQSrm/Wg+PqmMxCaUnk1d4+h6LDr8SVypXYjHbuS9Bk9ghaxMWyJxpTyuvIgVpFgBtA67A8+VaFy5Ele+wtKWT8P0Eevj6K2+A8+nBPE8kEB63cjihz3/3IdJCb2BK7eE2aKiwI/EM8pUcQvfiefjU5Iw511PrKT651gaRnccPR1H5xek8y4YVT4DTsEukEtEcu+0UdVpQA8ROdJ7v0BVu6lqR0wE+mjMkZeRLcCqQOotlnbUwROQRlXHeZWROwELgW2quj8Hc8YAdwLdgaNVtQ9QX0R6ZLuXT1asx2b//JRan7zjSiQSPZFKjUCTLsRNFcPPjkGpf1X+j+iGf7B6dd4Ou2fPHs466yyioqKYO3culStnLhypivXben3w6hqkRReHxpUauNITV0bgyhRcyWecoE9pRJUDmJTDABG6BTWNwgpKPVeIh2+IPYT/lWFdyXfiudIec9wNBq4DLsPRv7PfqVDtqY0rD2E6d29jmnznAMfh6Ks4OY5VfHyKDSKcAVwDDFNlX07bhx2rXDsCczi+4qWvl06swngMZduJ9xcWxFGmilv4Tjwfn5KAOe8uwKLOPgEOAKfh6Jk4WiSVoVTZgFWu/RtY7N3UMyEi1UXk6KD3lwC7gX+893WDNn8Y+EJVfw3R1ceYgy1wUT4P+EFVE4P7EZGK2APQsyH6CLarj7f/OkwfL+DwTMGq8/nkFUcTsegC34nnkx9uQJPbcfrsCBpdlYJEj8eVSlltLCLl+CP9BEJSp29Y8FX6ANzk5GTi4uJISEgAID4+nri4OFJSUti5cyfdunWjQYMGvP/++5QvXz7ksX74Afb/Ew0nf5du/dOrGIgrF+LKUbgSiSsn4MoNuDIZV37FrnOfYBHI1wKn5vVD8Sn1vI/d38Z5OnXgaMC51x9XuhfScRsCWz2pjACNyFyZtuRgv8EHgKXYb68tjk4prAnNXNjTydPi24JNGL4FNMXRi3D0s7DZ5eOTT0Qoj+nMzcEqwJYcHH0KuAN4Flce8RxepY1y3mvZTac1PcQ/8CPxfHx8ig2uRODKpdgM8xxstqETjvbC0W+L2hxV/sQiUT4DPhVhYIjNqgGzRGSdiKzBKq9doGmlsEeJyI8i8iv2AJEaWSMio0TkJjuW/gfcBHzk9TMMKyMfYJ6IbMAq8H4DvJqV3V5V3KFYeD3YQ/aRIrIWOMJ775M//OIWPnlCRL6OiJDdD78jo2l5p1DjBDYfeWfEKSOSj25xFz+IyFIROVNEyotIdxEZISILgL1MTO8U0z5vs2B+FL/8krZuxowZVKhQgZ49ewJQuXJlKlSowFdffcWECRNYt24dH374ITVq1KBy5cpUrlyZc889N52NY8cp0Y23Qaelqetikkm+diMnALOxyYwE7PozHhiAFe4JEIVNEHxTUJ+bT+nAK3IxDPu+3B7UNAsr0jQOV2IK4dChHHYlNxLPlSZYxd+RmNO8O45uCoMd5XClP658h020noCNN+rj6D1hscnHp+AYjmXM3OJdu0oWjo7GniVGYpIFeXLkiciRIrI6aPlZRJJE5AivfbiI/CQiKV7QQm76nCoiKiLVg9ap99wUOE7XLPa9TkS+F5FVXlHAcgCdHuZKEXHycm6ljG2UsUg8UX9SyMen+GFV6i7HBqZtsJn7x3E0Y/GHsCBCBPA48ADwFPBQhtl9n7KCKwOAiUAVHC3L4fw+uUREGjzeW/4XT6WTR8X+EUF0ZZKSkoj4dTyy8raU0x7Vtxb9wsVANDZA3YqlzC/kHr7nGRZg0QGQHEFUs9/p0/Vo3pxeMPOSW7ZA8+OSiH/8HrhjdHDTc4reiytHYin5rwJ1sulqNY4eRu1cn9KMCI9g2k3HqXqONHNMbQAexdFnCvh4nwI7VL3JN3MUxgF9cNKqwBd77CH8OmA0VvCqH46uCYMd9THnwA3YZOD7wCvA137EnU9pQIRWWLbFvaqMDq81h4kr1wCTsd/oHfn9jYrI3UA3Vb3Qe38ysMvre7Sqzsph/8swnfHBQA1V3eut1+D32ey/CWgNdARu1ViGbNjGn+c8xbfb9+hp+TmnUoEr7wAROHp5uE0pKvxIPB+f4oSlhjjAOkxH5QcsPeSy4uLAA6tcq8pwbCB9D/C2CGWqtLdPKsswZ0ubcBviUzLQWI6tV0M7R9Q7P4Joy2SPiooiovkQkqqcEHHT2RG9gZ3AzUAToJFXKGeyPqtLEC7HitRAZApJLw4jdkYE7757+LYlJ8PV/ZNIbrAZbpwQWJ2AFR64HwBHd+Pou8AxwKRsumuHK9/jyiRcGYwrrXDFH3eFGRHZ7EVOBCIe+gS1lRORV0XkFy8q4s0s+hiYITpjl4i8F9R+gRdx/ouIvCcSUhvxWeiTBPK7iJiz19GNO/bwXOXreLpctGzw+poiIg8F9d3Pi9poHLTuExEZlPEAGcgYdVefzNVqizeu1MIiFt8AJgAnFakDz6RNTvceGDdjDrzXgcY42htHv/IdeD6lAW+yfgKwFnN8lWwcnQY4WHbQ+MO4Fw8i6L6vqt+p6sbc7CgitbHIxjvzeWyAZKwabSUgYc9/lL9jBjzWmxcOo8/SQJmLxMtcjs3Hx6focSUau7k8iKXYvA1cgaOhCj4UG1SZIsJmTCdjgQgXeym3PmWHn7Bqiydh1Wp9fLLGlXJI9BtavWUK5VukG0T/9MuvXPe48vMPKTH3X8RHT32gU0J1oehcQZpiKaync+msFOm8pNaAAZ1OqldPIjt3zp9pKSkwdCi6+JvIZH1u3D1UPBSJCdLPVkKI5DsaBwzGlaXAOMwhEhm0xQisevMp2PW9PLDX234RsBhY6ovch4U+qro6xPqnMb3U5qqqIhIy0lJVpwCp308RWQ/Een9Xxh7yuqnqjyLyKqb/ek/6PogTWbEUOp4NiaOACwGOvZMdzeoQfyAuVd9nAfZdf9x73wPTgOsOTBWRKKzq6c1ZnawIgqXTBjvsGnqvJUMTzwrfTAQOAWfg6MIiPHZFoC/mADgBm7waCLzjXQd8fEobg7B710mqJIfbmALB0Zm4Eg/8DyiPK4M8PbVcISKnYAWu8lv1+g3gXlX9V0Jn9X7uXc8/Bx72ZIUyci8mafQvcONpIxl0wxlwXXc259Om0sJ2fE08Hx+fIsOVGFwZjDlCJmEPdsfhaN/i7sALoMoCoAtQE1gqwvFhNsmnKHE0BdNsPDHcpviUCO5BIhrJMQMiyDCIbdGiBd8uXcOiaX31zW+41UtbDYmifyr6nKIXKnqxLuncPT7mwDfdz0wiNtaqy+aFXbugd29S3niDFE2RK/XOF0cr+oKik0I68IJx9A2sgMXfWIU0vNfncfR+HD0dqIo5ukcAe7Ao5nmYU28trkzAlWtxpXkpFd8u9ohIJezB9cGAhquq7szFfp2AWphWIliq1CpV/dF7Pw64OvTev+2AzutgTy+RsdUBDibQv251JlQpT1VcuRBz4nURSdXJOw2TsejuvT8J2KWarfbakUAF0jvsQlWrLX64UgVXJgIfYAVBTigyB54rx+DKc1iUx1gsKqkzjp6MozN8B55PaUSEOlixuDGqFJssoALB0VnAxUAfINYLosgtg4DpqpqU45YZEJHBwBZV/SKLTRqpakfMcVqTLCqVq+p7qtpBVbsB/23/h7NvOQea3M7NIjJTRJ7Iq22lhG1AHVwpMwFqvhPPxyccmBDyzcAvmCj650BzHL0WR38Or3F5R5Ufgc7YTMgiEc4Os0k+Rcty/OIWPjnhSk2IeIQKdSPZPgu2zYIlA2HJQOK+7J/6d/XIPVKlPAIRD+e2a1Xik3fUWhM/cAL9+sFZvZJYsSJnZ95//8Hrr0OzZiTNmcPulBTOUeX9PJ+bo98BbbGJGIDlOHowqD0RR5fj6Ms4ejWONsZSP3pjzrw2WOrST8DfuPIhrgzHlR644lfPLnime+myk0SkpreuKVbhdLiILBeRr0XkzFz0NQiYEaicjjnHgp1lm4G6XoRFCOa8C2cr/D1JRFoC8ula3t9/iL3AyxrLbqzyXicRaejZOA972AOLzMvqwTBAIOouYyTeVm8ipnjiyqlY8ZhLgd44eg2O7ivkYwqunI0rs4HfsCjal4AGONofR5dm34GPT4nnJWA/8Ei4DSkUHP0YOB+Lfn4HV8rlsEcgwvpKTPsuP/QALvbkHDZ769YGpBRUdYv3+h828ROysEUGxtxyDmMWfg/7D3GkqvYB6otIj3zaWJLZjmVC1A63IUVFmfFW+vgUC1ypAFyPiVkfhUXfPYOjJSOdJRtU+VuEM7Eb3MciDFHl9XDb5VMkLAPuxJVKOCHD/33ygIjMwwompGApE7eq6iqvbTMQj6WUATylqjOz6KcNpmUTGNQ8qKrveW2DMI23CMwBMCTICRHcx0LMWVBfVf/y1jUBfgVmq+olXuXYSar6ptf+EFaUp7qqRaqIyI8RwtDk2IjpF478/dz12zZXi08k4qMFaw4tezxq+QeLU458anZKk0hBk1KIGNU74lckNbIpd1SIa8ert8BVb/HV0Nc58cRWtGqbwGUXxtCuHTRtCtHRsHcvrFsHS5fC//5H8iH7JCeo8qAq+XcQOPoXrpwJ3EhuqtI6ugN411vwHiTaY593F6zC5RNAMq6sxdJvF2OOwk0lUXtLRI7EJq0CVMR0D2up6j8ishSv2h42Rj0eaKuqa0P0dQ1wN6YRpNj3e67Xtpmsfyenq+oWEYkGXGCjiPyOTag1Ar4Hfsb+FzNF5HhVDSkT4UXvXYVNYuWTLfvglHHw9q1Qfw9smwKw7R+2Y4624Vg0XnfMOfilqh4Skb9E5Bhv/YwcDtLIe92aYV3xHHtY0Y1HsbHSPOA6HP2jkI9ZBbgGS5ltgf2GrwLex8l8bfTxKY2I0Av73l+oyoFw21NoOPoFrpyDRffOwpXLcPRQNnv0AdYERVjnCVXtG/zeK2RxgqruFZEaQLyqHhSRCO9Yq7Lrz9Ny/eHxK9k2ewUkJadmAaQAZXHib5v3Wg9z6JV6/Oq0Pj5FgSuVsCpm9wDVMCHkZ3G01F1oPO2dR7EZvBewqlbFd6bf5/Bx5RhgI9AVR3N2Xvhki4hUD6pYdinwqKq29d5vBi7JQs8ruI+KwHpggKp+IyKRwBGq+rf34P8t0AH4E0tT+1RVx4boZyE2IHxLVV/w1j0O9AS2e068R4CGqjrYa/8cE12+X1UXikhdYBNBTr3CQJBZWJqMuXQWnQKTBxHzbXcSfm4MmpZ8EBnJochI1iYk8A4wQ7UYphRaWm0DzKHXBXPutcecW3+R5tBbjEX+ZfcAUizJWOkvQ9sVwAhVzVQ0R0SOwCLcmqvqThE5DXhPVWt57ZuBSzD9soCI+BhPyy64nzVYBF4rLB22Daar4wJnY5/tA6o6Pwv7rwVuVNUuQet6A4NUtZf3vhUwT1Uz6fWIyFRgNeircOy/sE8gqSbs6QiM1limAM+dMoIHFv/K+ZjTbaaqfuKlTW0BXvQ+hyzHEyLcBgxXDYpScOVTYAeODsxqv7DgyvHAm5gj7S7gtUJ1WLvSAnOYX4sVaYoFXsXJ/hrr41PaEKESNm5YrkrvcNtTJLhyEvApVoX3IhwN6bgUkUXAGyHuIQ9hz3c1sUnXOKC9N9YaBexQ1ddC9JdajVZEumCR+Ird31cCt6nqP1nYUgMbt52jsZySkMTn1QbzaVwiR2NjrStCTcqWamwSNA64HEffy2nz0oAfiefjU5jYzO5QbCBaEZvpfx4nZ52dkooqCowQ4Vcs0rCpCP1U8SO0Si+bgd2YLp7vxDtMAg48j2rYwC6vOMASVXOqqmoyptkGcAUWRbcTQERew6J9MjnxPKZhEcQvBM0SjwO6ee0L8ET+Pd2uY7AIsu7AQu91SWE68DymEHDiCXDqIjh1EQkA/1WErQ2Sefbec5ly3c/JyWxNSirmkwvmuNjiLRZFZtHcAd2cLpiDqjaQhCurSB+tt7UEROsNAh7Ipi2r6r8R2H+5ClbJuDppM/GpqOp0YHrgvRc5Fx30G6uGVYGvBBzEogTfwsTDG2Df5R9ysD+jjZ8AY0WkpRe1MQQrVpUlqiSJdLsXzn4Z+pwPEhgjjAUGxg7lkiZ30BFoDAzz2r4EXsWc6TlNCGasTBtYtySH/YoOqxZ5G6b3twZoV2jyIq5EYtqFw4BzsHvYY8BkHN1dKMf08Sn+jACOwH6HZQNHl+FKD2A+8AmunB8qZV9VT8m8M6jq46QVHcrYlmU6sqpK0N+LsQmnXKGqe4DTAXClXEwUHJpKbxz9N7d9lDocjceVvylDFWp9J56PT2HgSnVscHg7EIMNtF/EyUEgvRShygwRfgfeB74U4SJVdoTbLp9CwFHFFV8XrwARkemYhgrAeRmap4uVNvsOi3YLdV1pBcSLyIdYZNFa4C5v21CaXQ0z9ZDGVmCnJ+BfA9NA3BPUvhQ4WkQCTo/vMOfdZCwqNzeaXQXBHOx6c2mmlkoHoeVPj+nk6z7Lt6JNccCi7b4h4Cy3aL1jSIvW64pNHEUCO3AlEKm3GFiJo/FhsDok2VX6875L3YD+ofZV1V0ichOwUkT+wYo2nJVhs1C/k9rAu15kqmDf7crAVOAO4DjsOzsJS0u6MeAgE5GJmPN7tve+BdCODL9Pr/LgYGCWp4O3HkvTzBbVia+I0BZ4CZoPhp/B0SRcufmYWiyqVoEd+w7xl2pqpMgi7H+flaMzmPROPPveFJ90WlcaYk74bsAo4EmcvIvH5+I4NbCiMkOwNO75mOP/o7xUqfTxKW2I0A6bFBpW5sbqjq7BlW7YJM58XOmJEzoKrhhS3nv1i+zYRF6ZqVDrO/F8fAoSV47AHHeBWawxwJiyOrOrylcidAY+wirXnq9KJm0jn1LBMixCy6cAUNUBkKr79QxpjoJgPa/HsSi5jE4+sPv7WZhW1w7gSSwS+Ip8mjQZizqqgckBpM52qmqCiHyLRdwdAyxU1d9EpL6IlPfWD8rncXONoimC9CbWmUWnpefT7LfATPdSYLSi2UZDlUgs0m6jt8QCAfmGk0iL1huOVSdNwJUVBKfhmi5fuMiu0t+1wIequivUjiJSDbvPnqyqP4jIhcD7InKcqiaQxe9EVTdiKcmh+qyC/dZaYpGnpwI9RGSOqiYE0sUDqOpPWCRgJjxHX46ajqp6bYZV9wOXwk9nq9IOAEcX48obeydyIZbGHtj3AJb+mYYrNYEaISLYGpE+SjpQrTZjdF7RYs5EB4s4/BPogqPLCuE4bbCJ1X6YhuI0YCyOZhdl6eNTJhAhEkvn/M57LXs4+j2unI458r7AlbNLSOBFOSxbo+AnPUoe2ylDkXh+dVofn4LAlZq48hQ2q30L8DzQCEcfKasOvACq/II9SG4EvhUJ6XDwKfksA471olB9comIDBCR1d6SSZtKVadhjoQjvfeBCmaJwGiyrmC2BVigqtvVxG/fJE18fwtpQvdgKXo5PczPwhwIbUlfmCDAAizirgcWhQeWqtcbG1QVTUVHUegX24bmP7+KadTUULRzqXTgZYWj/+HoQhx9EkcvxD6HFsANWETm2cA7wHZc+R1X3sKVW3HlJFyJzqbnAiO7Sn9e9NxAso8wOxvYq2pOGFWdA1TF+17n4XcSzJNYGngd4GJV7Y3JBPTNdq8CRJVdWCrvMJF0zsYHMIfdY1nu7EokEj0P5EdcaZehNWM6bahqtUWLTXq+jV2b3gTaF6gDz5UoXLkCVxZi3/vumJO0Po7e4jvwfHxSuRnTyL2hTGtYO/oLlqZaFfgSV+qG2aLcUA6ILwHSGUVBmYrE8514Pj6Hgyt1cOV5LB1tMPYA0BhHH8NJp2tVplFlN6Y78x4wR4ShYTbJp+BZ7r12DKsVJQxVna6q7bxliohUF5GjA+0icgnmSPhHRCqJpHOSXk3WFcz+B5wkIlW99+dhOlNg1VAvEpE6nsPkJnLU7NI4LN3wVlUNNchfgEX+NQqq3vYl8DDwrRcdVRRcCDRCI15VdJfiX4dxVHH0ZxydhqM34egJmIbc2cBE7++RWBTGPlz5CleewZWLcaVWIVmVXaW/M7BI0s+y2X8j0E5E6gB4wuBRwNY8/k7w9u8MVFPVTzB9vMADUTgq/U3BnN7jRbxxuk0G3gsMxZUOWex3I6S0pWqLFCR6oqcxhwjlsTTiYIddqGq1RYcrPbE0465AL8+pdrCA+q6JK8Mxgff/AQeAXkBLHH05lN6Vj09ZRYR62ATGc6qsD7c9YcfRzZgjLxL4ykv1L86YE88HLBIvVAGpciLyqoj8IiLrROTN3LRl6CNCRF4Uke9FZK2ILBCRZkHt93ltq0VkiYicnEU/13nbrRJJu5eLyCgRcfJysn46rY9PfnClHjagvgHYh1VifQ1H/eINWaBKvAjXAr8Ar4rQHLhTFV+HpjTg6A5c2YGl8YWK1PLJHdWAd0SkAuZA+Bu4QFVVRDLqeW0EBgR2DNbs8lIJnwQWiUgKNri5AUBVN4rICKxCLVjkXI4pNKrZVvxahqXafhS07kuv3yJRofP0xN4CflSlcATxSwuO7sf0wKzqqjl8WpCWgnshdo8DVzaSVgV3MbCuAPTKBgFvZNM2JaOz2NPAO1pVH1HVlV511i9EJBFLJbpSVeNEpAnZ/E4y4qXcPoOXaq6qa0Vko4isB3YRSmOxEFElRYSbsQqFwZ/TVO/9eFzpgqMpIvI1cFzNqkz967XIm2h5l3y5vXnkiMcGd9z0Fz9s6St7oUIbq9lBK2wiDeAi4D+KWkfJlYrAs5hu4zvAzQWWreDKiVjK7FXAISyScxyO/lYg/fv4lE5ewcYZWUf5ljUc3eZp5M3HHHln4OjGcJuVBeXx9fACbAPq4YpkiEx8GpuYa+6Npevksi2YizCJjbaqmuhVJX4SuFJE2mE6q8er6gER6Ydp4Ydy5D0MtMYCHoYDV4jI8cAJ2RVCCYWoH33p45N7bEbmfmwgvQsbjL5RYDPIZQQRrsaiDT4DrlYlZEl3nxKGK7OAZBy9PNym+JQtRLgUiyaMAdap5r7Sm08WWBGATqQ59jphGnD/YVF7AW29JWVdNqIwEOElrCBGC1WvsrQrJ2DOvSE4+rpXAOTMwT3krjeG1W3JhT9HEVUJVt4FP718oN7QY1/csafHQzA2Alimysm40gLYgEWadMbRokl1d+UkLG22NubEcw87BcyVGCxlfxj2/VyPPTy96U+q+vhkjwgXY1IZ56hmG/lcNnHlKGAeds06A0d/CrNFmXHlHuAWHG2U47alHVfOxv5fRwXGJF5F+j+A+qq6P3jz7NoyIiIXYxkLXbHo7meAKFW9U0TaAh8D7VX1TxG5BThDVS8L0c+v2L3qZKxwVz+sov31qpqnQlN+Oq2PT25wpQmuvAH8ClyApZU1xdExvgMv76jyFpYy1Rn4WqTsaBjkRA5h35tF5KcgDbUsC0mISBsRWSgiP3jLZblpy9DHBM+GLzwhecT4WESahthlGX6FWp8iRAQR4UEswijGW10+m118couje3D0E0/b9Wws0rItcBeWmtkbqyy7C1d+wpUpuHIDrrTBlcgwWl5aGIFFlD2dusbRtVjBrKdxpaaqbr2oA63q1dDWnDTeHHgAbR5Fyx1VvnrFvx4ICkI8qW71P44DXGz8r1gBj8LFtOkewZy+24A2OBp7WA48V47GlZHY93A6FmncAzgBRyf4Djwfn+wRoQrm8I71HXhZ4Ogu7FllKxaR1ybMFoXCT6dNY5v3GlzcoinwDzBcRJaLyNcicmYu2jIyB8ta2Yk5/s7EsvBQ1TXAS8AmEdmG+QiGZdHPvVgAy/1YJfYhwEd5deCBn07r45M9rjTHwl37YYPFocA0nCLTdyq1qLJIhE6kVa69UJWV4barGJBTaHcfVV2dXQciUhH4ABigqt94aWVH5NSWoY/WwLGq2kZEHsFmjF7FtB8XqIZMUVoOPI4rtXH0zzycs49PnhGhApZi2DtD01FFb00ZwNFkrEDAWgLp1xap0Jm0aL0rgYrAflxZSlq03lJfJzZvqLJfhDuAmSJMVk1Nf38USxl9Fldu7tUu4tqdyU2V+hdJ6s7RVdh69KNRcBPdWx1k4fcAJD7n3PM60A5LMwboiyt34Oi/hXISNoaagTl/7wZexgmpqZmbvgT7ng0DLgf2YqnGr+FoeKvs+viUPB7HrtV3htuQYo2je70Ir4+AhV7V2uL0rOKn06ax3Xutj41TwHxdjYDvVfV+EWkPfOalsGbZpprpGeZELA22HrAfe1Z7DegnIscAlwHNVHWHF4k3Ezgto4GeLM17AF4k/cVAL0/+pinwq6o+mJuT9Z14Pj6hcKUV8CA2UN6IOS5icTQxrHaVMlTZKMIpwP9hEXlXqzI73HaFCy+0exAW2q0AqrozH105wBJV/cbrIxm8dKzs24JJBMqJSAQm9L5TROpiIvHnZHHcQHGLE0mvjebjU6CIcDT2HWtDmkMiQDURIsp0lb2iwiIVPvQWi7qCEzCHXhfM+f8IoLjyA+m19X7Kt0On7PAONv54TYQOqiTi6L+4cjtWtCG5fHTEkVL7vIy/AWbM/5u+vVpwZeubOf6eNbSuvz766lPeyvhQEYONc7LSJ8wfbmrBnBeAn4COOLohn31VwO47wzAH5ArsM5mJo/7Dq49PHhHhJOz3NFiVv8JtT7HHrrnnYqnHX+BKLxxdEmarAviReAEc3Y8r/5I+Em8Lpi8dC6Cqq0RkEzZ2XJ1NW0Yn3gDgC1WbjBSRaVjqLtik0jpV3eG9nwK8IiIxORR1G4M50btjer99RGSaiPRQ1QU5na6fTuvjE4ylAc3EdFXaYz/a43B0qu/AKxxU2YNVjnsLmCXCHSKZHsrLCrkJ7Z7upbhOEpGaWfTTCogXkQ+9tNvpQdtm15aKqv6EVRxdCTTBtIxeAu5RzULU3jQoNuKn1PoUPoux6J5QaZsRhIgu9SkCHE3C0ZU4OhZH++FoE6AuNkv9EdASGAt8j6XhzsWVh3HlLFypEkbLiyWqKHAL0Jz06Tn/B3wNEYOkwaURxFTPtO+bsbEMuGcyjWtt4f6LnuLtYVehmunWGnC2FRyu1MX+168Co4FO+XLgudIIV57BUqRew74zpwAneZWWfQeej08eESEKeB34CnM2+OQGS9G/EPgG+AxXTg+zRQF8J1560lWoVdVdWLG9ngBe1NwxwA/ZtYXodyNwhogEZFsugNRqzhuBU0WkclDbz9k58Dw5pB9UdR0WKBGQl0gBKme1X7o+/MIWPj6AK+2xijGXAuuwMPN3vfQhnyLAc9zdi4UojwduVeVwKyCWKLxy4yuAa1R1eiC0G6t49KeINPSqjkZj39E2qnpeiH5exr7LnYEdWAWlY1X1iuzacrDtYiw0/GngeaAq8D9VnZluQ1feBirj6AX5/iB8fHJAhLGYnleEt2T0ThyvyvdFbphPzlgxgnakReudAjTABq/rSUvBXQz8etjFD0oBIozCdHaOU/V0f96KmX3N+MQLl2+pyKF45Zi6FXT+8yelJKdo5OLv9zFy2q988szJRO5dTnLcXtBkoiKzDHxs6+ntHR6uXI45CPYCA3D02+x3yLS/YBpUt2DVAP/CHHiv4+gfh22fj08ZR4S7sHHfCaoUv0INxR27f7nAecDFOBpePUFXXgea4OhZYbWjuODKZ8DvODo4sMqrWD8Jk1pJAUap6ru5aJsIzFbV2SJSDpuYOg3LVNoJ3KSqG0VEsN/UpZhD9T9gmKquCGWiiNTAZI3OUdU4zzH4f0BjYBNwhWrOgUO+E8+nbOPKyZjz7gJgFVZi/QM/xSd8iHAFpqGzEOijSrYVg0oTInIUFsId46W5IiLLgAdUdX6GbetiMz2ZoldE5G6sXPkA7/3xwKeqWj+7tmzsqopFVvQEHgB+wyLz1gAnquqh1I1duRu4B6jjP3z7FCYi1CCgDWYzl4lAtNfcQ5WFYTLNJ6+4Uo80h14XoAOW6rmLtPTbxcCysli0wNN/XA+sVPU0IF3phkW6tcY0dg4CzFxc4bK4xLqVVLtGKCIiSp/ObxMTlUBScjRRkUlERqQb4ijwKo7emm8DXakGvIKlT08E7syTzp4rlb19b8GixRd5/b3naxD7+BQMIjTGKlM/q8rIMJtTcjHZiGlYGuUVOPphGG2ZhlVjPT9sNhQnXJmKPX/0CrcphY2viedTNnHlVMx51xP4DguR/sh3OoQfVf5PhC3AbOBbES5QJc9Ve0oiqrpLRAKh3XODQ7s9vbzogB4DphG0Kouu/gcMEpGqXtn08zCHW05tWfE0Njt10LNDvSUae9A+FLTtMqAWFlnji437FBqq7BFhMebAuwFoAQzEqqj6UdQlCUe3YzPR/weAK+UxR14gWm8YNtOdjCtrSB+tt7m037tVOSTCLcBcEXqp8gmOfokrp2DZA5E4OhDgqr6yCzb2hN/aA8cDa77YcMaEM1t/Xr1yuQP1Ox6zvF7jmlsaYilAdbFUnvynMrvSHXugrYBFpuRe19aVY7GCYQOxtDAX6F/MhON9fEo8XrbLWKzS6tM5bO6THY4m4coArKDE+7hyFY5Fb4UBP502PduAjuE2oijwI/F8yhY2c/0Ilq6xCCvvPK+0PwCURERohEV/HQVcqMqyMJtUJGQV2u2tfxfTABPsAew2Vd3s7Zca9u297w/c5/WxHbhBVbfm1BbCnlOBwar2gCgiTTH9wsrAW6r6WLodTNdqH9A7jIManzKCCJMwJ8/xqqgI0UBjVX4Js2k+BYmlWTYkfbReO2wy+k/SF8xYgaOHQndUshHhXUwLsrWqV5HQlV7Ax8B5OPqxiPQG3gaqgbYClgLNVPnN2/5R4Cocbem9rwQk5jnizRytj2PC3HOA63E0Z5F8VyIwHdxh3utWYBww0SuU4uPjU8CIcCVWMbO7Kl+G255SgV3LXgFuBK7B0dgw2PA+EIejVxf5sYsjrtwMPImjNcJtSmHjO/F8Sj82+D8Tc951xdI0HwMW+M674o0I1bDIsa5AP1Ury+1TzHHleywt/YFwm+JTehHhKGzW9Q5VxofbHp8ixpWKWCXsYG29mlha9SqCo/Wc0JMUJQ0RGmCi28+lS4dz5R0scrG19KVmVfh9LIw9jvZNPuKCc2/g9dPq6M5vBYn84z2mHhlP7eirNasq45lxpTpwHJbqejz2ebcHkoDbgMk5jqesj4FY5F1TrHDSK8AcnCyKJfn4+Bw2IlTHrhtzVRkUZnNKF/aM+Rw2mXE9jk4q4uN/DOwMRGKXeVy5EMvkqlzapTf8dFqf0otdWHthzrvOwHygG45+FVa7fHKNKvtEOB8TE31XhHuB572KfT7Fl2X4FWp9Cp/rsXSWGeE2xCcMOHoQq7Bo93S75zchzaHXDYv2isCVbaRF6i0CVpVErTVVtorwKPC4CLGq/Oo13cEafmEaP6RAwwSgHAyFVXRkFTvq8E3vd2SnXE7lupdRuUISiYeQ14AnFc0se+BKJKY12R7T3AtUME/BpBQCVaEvxdGPszXaldaY1l1/b810LO027xVrfXx88sPT2G/2nnAbUupwVHHlHkxWZiKulMfRsUVogZ9Om55t3ms94OdwGlLY+E48n9KHDeQvxDTvTsTSTE7B0cVhtcsnX6iSJMLN2MX4eeBYEYaqkmPlHp+wsQy4GFci/CIxPoWBlzY7BJioyoFw2+NTDLBIsN9IK7wTKJhwMmnReg8BRwDxuLKC4DTcklP9dAxwLfCqCOeqovTlCqA80Eiwp7pgjtgDu46ijkbY+0NRRGMpYJcI0lXRjOnnLbHIkox4PZACxGbpwDPh94sw510P4FfgQWAqTqquq4+PTyEjwqnYb72fKv+E255Sid17HsaVQ8CruFIBR58voqP7Trz0bPdefSeej0+JwbQJLsWcd22xcNqTcHR5WO3yOWy8yLsXRdgIxALHiNBblb3htcwnC5YB1YBmlPKbqE/YuAQbpBXljLdPScPRA8AX3hKY5GtOWrReL+Au+H/2zjs+iurrw8/ZEnoTRFAQUBRFQaqgKIING4qIbRXB3isqdgK+dtSfvSsgWbEhKioqCmJFQECkqEhRAZVioSbZ3e/7x52QTdiEAAkLYR4+90Pm3jt3zszuztw59xSMqC2goLXe90S0zS0WSeSacSl7/TSB4We/XSF7UpPm37H/S+dCqyJSFFXMhoeugzYbpkLaBWdxd3KB2ohmErXHgUvJt7pLJo5TiBYkanWAC7z9dicvVh986C/o+PhsXczIAJ4FPsIljfEpSyK621PkPeRZ5P3fVjhqRfDio/qAy2ifAzRItyBlja/E89n+cW4fp+ImlPvhgv/3JaJp6RTLp/SRGGVGZ1wQ7a/MOF5ifrrl8tmA6bhYSe3wlXg+ZcNVwDv+779kmFEF6IRLBrEPUBk30f0FmAZ8KbHNJRUws3OBF4GTJY3y6l7CZZ9L4OLf3STpkyL23x2n6N0bp3h6StJjZtYYZ6EXDwb4IRRgtzrVqPD74+yEi5lbA1hL1CbdGGXVM5/SYk0O/8bi9JFc5lQzGwTMkbT1X45l9ckNJQjHuucAP+8F+//gmhIYk2jPd7RhBi34h5oESFBv2h80uGcav/eaCHvNTR7tRMPqiA2SSvTDKTvb4JIp5ZHAxbPr7L2wrgVq4xKGnYmzCnkReJLIBhZ+Pj4+W48bcCEGTvTD0GwlInqYqK0DniRqlYDbyjj+um+Jl0xECaK2GF+J5+OzDePcNc7EuWjsjcu6dAYR/ZBWuXzKFIkpZnQARgMTzThJwneV3paIaB1Rm4GLi+ev/vqUKma0AQ7BJSzyKQYz9gWuCQY5Ox6ncp065LZogVWvTnDtWhJz5hD/9VcyAgHioRDvxOM8sq1kLvQUbRcC3xRqulZyLplm1hr4xMzqSAUtvczMgLeAeyW97tXtAiDpQ+DDpL6jF/3NOCJ60LPq3xfPWu+Vrzl78eOEp8yn4f2j+YyovfX6RBbUrsohy55JSi6xlTCsPvAy4VieayuV18DKeE0e5wpeDF/MgtwGVKsco8V+CersEiKRED/Mj/HHgDDcEiDUcRKxi5+A3i9DMBGY2ZzvmG2VgFk4BdzLZNENaJRChABOYXcUBZV7PwHXAi97FpA+Pj5pwoymOM+kzPWZqX22DhE95S1wvABUJmrXlaEiz1fibcjvOE+Nco2vxPPZ/ohaGBcg+RagCc69sgcRzUmrXD5bDS+49yHACGCcGX0kXk23XD4F8JNb+JQVVwIzcdZAPikwoyJwWyDATU2akLj0UsJnngm77ko4qVsQCP77L4waRfCpp+g+cSInB4NkJRJcJ/FXmsTHzALA87jP+sHktjwFnkeNYoY5AsjOU+B5+/6Z4li7en3PA/DcPmd65fnfz7LOd46i26p1RJat5PR4gl2f+YTIlP8jCPxD1L4lP7beN0RU1nGnLgIy1m8Jln5yOs0qPE68Qg36nB+mb1/Yf/8QgUDybkFycuCzz+C5F9ow8sIXsSeupvJ957PHvKkNvU6dgc7syUBiNCLEcFxoktcKyZD8/iBgInAIEcVL+Vx9fHw2ETMMeBqnWH9wI919yoKIhngWecOBikTt8jIKKeC7027IInYASzxTmVp4+viUIlGrgAvmfBPuxzkMuIeI5ha3m0/5xYwQ8BDuRe9W4B7fZWAbIWoXAI8C1Ykolm5xfMoHZtQFfgOulHg23fJsi5hRJxxmTChEq3vuIXj55RAq4ZLtqFFwySXEVqxgWW4uR0mkxbLdzK4HqkkaYGbjgf/ludN67ffiwmjUAk6RtIFC18yuwinn1gLNgAVAP0nzCvW7BWgr6ZQiZOmJC9exEhcg/shggFDsZcaRH1vvIFwMUIA5FIytN7s0X94MGw6cBUDC4MrH4cnLuOCCBPfdF2CnnUo2zsyZcP7FuUz+xhgWP4cIrxTs0JZhTFYfAKL2Cc76rjAx4AecAm/1Zp6Sj49PKWJGb2Ao0Mn3VEkzUTsZ5ymWBVxQ6gsdUfsLGEREj5fquNszURsMHEZE5dqQwLfE89n2iVpFXKDk/rggzC8C9xLRgnSK5ZN+JGLAVWb8DPwPl7n2Yomc9ErmA0wGKuHc0makWRaf8sOFwGrchNinEGZUD4f5rG5d9h47luA++2za/j16QOfOhE44gTqTJvG5GR0lfiwTYYvAzPYHTsFZhaVE0k3ATWZ2JHC/mXWSVPi+H8IpnjpKmmlml+AsytolHctwFnhXFXOskcBIr39D4KR4gmPsLO4E9gTmSjqHqNUFOpKfCfcM3D3wX6I2kXxrvYlE9G/Jr8gG/OYEA7vkGYJDz+OV16FXr8BGdivIfvvBVxPC9Osnzv7fcAxxJiPyO0zhdJpaJoM4DNg5xRBx4C/gWF+B5+OzbWBGHdzi9tO+Am8bIKK3iFoP3DOkElHrXcoJk3x32g3xLWGYSAEAAQAASURBVPF8fNJK1CrjVr1vAHYCngPuJ6Lf0iqXzzaJGcfj3GunAD0lytqlyac4nNv7f8DlRPRiusXx2f4xI4yzpsqSuDHN4myTBIMMq16dM6dOJdS48eaPs2oVHHoosZkzmZ2bS7utuTBiZpcCd5D/YlIPdy8ZIOmpFP3nAGdJmlKovhdwlaTO3nYVnDVdBcm9RJlZF5y7UyNp4xYSZjYSGADUBXpL6mtmQ4EhG1gDuntgSwpa6zXGuZ/OpKC13k8bjZlkVgu4PDuDvmsrsefTVc7i5sXDeestp3zdXCS46krx0tPrmBpvyV4kOTe0I4drCeAShtUCugJhXHKLNUBHIpq5XsSBZsDZwL8aoHc2XyofH5/NwYyXgG7AvhJbsljgU5pE7QhcaIKPcPHbS0fx5lx2LyKiYaUyXnkgaqfirB8rbIsZ5ksLX4nns+0RtarAZbjMaNVwcR0GE9HitMrls81jxgHAezhLneMlfFfrdBK1r4DpRHRpukXx2f4x4wycBd6eEgvSLM42hxknAm+/+y6ccMKWj/fTT9CyJfHsbP5PInPLR9w8kt1pzSyMU7jN9doOBMYAe0r6u9B+VXBWwIdKWmRmpwKZkvZL6vMysFDSbSWQ43SgpaRbzexEXMbcc71suSMlvbvRk4laffIt9Q7CWQVWAFbgEnjkWet9WyA5hNluwHg8l90/2IW9g79w7mWVeeTR5NwSm0d2NnRsm0vlH7/ji1jH/GwVhuhJK97Q90StCTAXl9giDnQjkp8V2AZa3aAFn4srfiJAwAJDE0pcrQFbZHXo4+NTQszoCnwKnCrxRrrl8SlE1A7FvaN8AZxCRGu3cDzDLaicTkSF45buuETtYOBLoBER/ZpuccqKTbO99/EpS6JWg6jdirO0uAMXz6EJEV3nK/B8SoLEdOBAYBXwjZf8wid9TCbJdc3HZwu5CnjbV+ClJhzm9u7dSSQr8EaMGMGhhx5K9erVMTNisYLhKc2MSpUqUbVq1fVlxgzn/b733nDLLQQrhXJvXGS7XYLZwZsjlxlNvUDrpUEYGGpmP5jZNOBhoFeeAs/MBnlus0haDVwCvGdm03GxU8/Il8tqAD1xITo2cg7OCg6406saA9Q2s+9xngJjSiR9REuIaCQR3UBEh+ASc3T0xs2T9xOcC+5UovYkUetNZZ4hP+YeT3IZFaplcM+9+Zd1Y591dnY2t9xyC40aNaJKlSo0atSIYcOc8UaFCvDkc2G+inXgcw7N30kYbxL0ZJ9Pvhv7BYUUeD1DgdCPu1Td5bhPzvmEkaeNpEaFGmeFA+HZNtD8LNI+PmWMl8zoGWA0znLWZ1sjos+BI3ELOKOJWpUtHDEvwZHvTluQ373/y3WGWt8Szyf9RK0WcLVXgsBjwMNEtCytcvlst5hRBYgCxwDnSX78rLQQtd7AC0C1UnMd8NkhMaM98C3QVWJ8msXZ5jCjLTD5s8+gc1IkuQ8//JAVK1awdu1azj//fHJzcwklZbkwMz7++GOOPPLIlOMuXQq7N4jzaM4lXMjzAD8C5yN9uRF5DOfSdRvQCbhDWq8A8ymOqDUk31LvYP6jNZcRzkvZFCNI/dBSLrmpFncmXdGNfdYnnngia9eu5amnnmLPPfdk6dKl/P333zRr1mx9n4Pa5dJw6tu8ljg1ryoG1EfefCxqlYCGRPQTgA20WgELPJZQ4qxzW52rh45+yG6/8XYmTZpEdiyb2H4x/bDHD2bYE0L9NcCPnefjUxaYMQi4DmguUW6tj8oFUWsFfIx7nh5HRP9t5jjVgX9xcUlLtpC0I+BCWWTjLBRf31j37RU/sYVP+ohaHeBa3Op4HHgEeIRIQZcYH59NRWK1GT2B+4HhZuwFDJQQZjvh4hTlApMoFAzdjABQH5e2PRtYIlG62aR2HCbhLGdaen/7+GwuVwLfA5+lW5BtlK61apF76KGEkyu7desGwPjx4zdr0J13hsMOFeM/6ZKnxGsGfIRZR6QNEtZ4GcN74ZR3++Ge7XFSJ0bwSYWL+/sbLgkH1LN2KP/+OZP9WBarRa9eBXcr7rP+5JNP+Pjjj1m4cCF169YFoG7duuv/zqPXmWHum34ESpBnOhnCJRl5xpNtLZCnwDsqHAi/XL1C9dovnfQS3Zt1t2nTpjFjxgy++eYbYrEY++67rz178bNc99l1l2THso+3gXamBuibLbtAPj4+yZjRHLgJ6O8r8LYDIppG1LoAY4GxRO0YItr0ON7DaERn4D8qEildEbdrIsolan9Szi3xfHdan61P1HYhavfj3GYvAe4DGhNRpq/A8yktJOIS/XDxFW9rwG+vxiwUBRYD43AxKRZhNmBnW9rYjAEVKvBtMMgqnCn2XOC3YJDVFSow2Yw7zWiSthPaPvkJF0i+XKd59ylbzKiHc4N8VMJ3H0iBGR06diRom+G0evbZZ1O7dm3atGnDc889t0H7gQeH+DajQGSCyrgXxuTjVzTjEmAe8AouKzU46/rEpkvls54/qZi8+S0HUrlCjP32K2qHDfn4449p0qQJ9913H/Xr16dhw4ace+65LFtW0OHhwANhaawWC2mUXH0HLhZhYU6qEKqw85wr5oS6N+sOQIMGDcjIyCAnJ4fVq1dToUIFerfpzYxLZwTjijfGuZL5+PiUEt7C8zO4+J+PpVkcn5LiEgIdhjMa+JSolXyhy+xgzMbxIdO5FbiPNzF7H7MWZSTt9ki5z1DrW+L5bD1cQOcbcIq7VcAg4CkiWplWuXzKNRJPNbW5i97mpLdCxAssXCymfp1rA49kLk/UyaxZk9ippxJq2xaaN4fKlWHtWpgzhwpTptD29dc5YPlybguHeScW4yqJhek6p+2GiBJEbQp+XDyfLeMinDI4mm5BtlXCYRrsscemL8yOHTuWgw8+mGAwyNixYznrrLOIxWJceml+LppGjWBJvKDFVpzASSEjT41UH3gdF98tT42YLIsBO1l+f59NYDbNeu3Dj+u3/6AeDerFCrjKboxly5Yxe/ZsDj/8cObOncuqVas4++yz6d27Nx988MH6fnkZjZdQn8b5j7hdX4JTzjMraHnZk29WtVx1+eKVi6lTuQ4AtWvXZq+99qJp06ZkZ2czYMAAKlasyE+LfiKhBLgM8j4+PqXHebjs1+0lYhvr7LMNEdFPRK0zLhnJeKJ2JBEtKXYfs67AB7iESHkEgGOBTpgdhjStjCTenvidcm6J5yvxfMoeF9/lRuBC4G/gVuBZIn5sFJ+tw1z22p1ClsfDOYvLgs9Qp36YEQ8aPXoQysjYcN9DDoELLoBHHyU0ejT068exv/7Kj2ZcKbGh2YpPYSbhJhc+PpuMGRnApcCzEluWya084iykrmsTntxKarvJux9xRH7OgeOOO46rr76al19+uYAST3JJSpNZRdUqwA8lPEwIOMsrPpvIUPpwD7es3zaEtGkml3nJLu6//34qV65MlSpVGDRoEJ06dWLNmjVUrlwZcJ913jGSecpZVxbkLQg3DfPKjFdouUtLAD766CMWLlzIvHnzyMnJoXPnzpxwwglEZ0SVEcyYnn1btp8x3senlDBjF+AB4BGJ79Itj89mENF8L2vtp8AEona4F1IBw2oCEgUyfD9IQQVeMtWBu4Djy1Di7YVFuFA+5RZfiedTdkStMc7l5jzgL+B64IUtTqnt47PpnJq8MZh+3MBgrr4C7r7bWd1tjHAYTj4Zjj2WcGYm3Hcfz5qxq8TAMpK5vDAJ6EfUqviKe5/NoBcuntpTyZVm9hFQD+equRK4StJUr+0Y4P9wmdvWABdLml54YDNrDPyCc0PK4xRJv3jt/YE+QA6wzjvGtynGOQ/3fMsGzpf0nVc/CJgjqWwsCJ0C712g2+6xX1jwywFs6bQuEAhQOOHZwoVQP/gXyZFB11HxXeDmpG4hoDtwMc6FJUH+wkkMeBW4Z4uE20Gpw7KmwKi87Xr8we9/hMjNdc+lktCmTZuU9WZW4PNesMD9X598Y5Ac+GOhS1JSMDasIDc797qXv3/5nLuPuDtkni93rVq1CIVCBINBKlasyLK/l/HGrDcSOfGcl71jPgqcCDQCWsuzGjGz2rjMvHlUBvYA6kobxosysxtwv88ALkD8uZL+8do6AM8ClXAWGb0lLUoxRiYwAOgp6S2vznBu4bUk1TSzAUBDSRd47YcAnwNdJY336p4Glkq6PeWF9vEpGx7GPf/uSLcgPltARL97FnljEzBh/3/thdk1OB3YH8CwqcBjMr7JJdR6NvsyjVb8QT3iBKnJP7RgBi35nuqsPBaznUhxz9zB+J3ybkAgyS9+Kd2SRVNl8YKyyFUWC5TFxcqiQtrl8suOW+AbOSMDjeA0gfTQQ9oinn5aeUOel/bz25ZLFo2VhZTFoWmXxS/bXQF9A3p9w3pqJv19MjDd+7sWsBzYz9s+FPgh9dg0Bv4poq0VsBCo6m2fDXxbRN/5QBWgM/CGV7cfMKpMrw+ck3cTGsx1qlMjR4mEChCLxbR27Vp9+OGHArRq1SqtXbtW8XhcU6ZM0eTJk5Wdna3c3Fx9+OGHqlWrlh555JECYxx9eK7O4mXlHUuwUtC8iM8rCOoJmup1j3nl0XR/l7brAn/kXf/ptBBI331X8s961apVatCgga6++mqtXbtWy5Yt09FHH60TTjihwBgPPCDVDS9XIv+zlpxiOqVcZNKGTPT1b19LkuLxuM4//3wdfPDBat++vfr376+3Zr8lMkmQSQP3HaEzTtG7AGhV5NhOMf5uEW1HAbOAat72bcAT3t8BXEzbrknjbHAP8doygcnJx8HF7ZuUd2/w5J2b1H478A2QmVT3Y97x/OKXrVFAx3g/0e7plsUvpVSyqHP6fJahFP+mtFblI0b9XC24SiBlhGJqVH+dmuy2TtUr5wikgMV1fOB9HcDU80HBtJ9Peq9lb2WRrSws7bKUUfETW/iUHlFrRtSG4SYzXXAr8nsR0TNElJ1W2Xx2dD4F+JWGXBx8nksvSXDttVs24MUXQ79+EAzyhJf91ic1C3FKFT8uns8mYUYHoAPwaOE2eRY3HjVgvf/fnsBySTO9fp8Du5tZalOkohEus3IVb7smbmU3FXFcNusqQI6ZBXAWEldv4jE3lfPy/jicT1n2b5jPCuXuffnll6lUqdL6zKVVq1alUqVKTJgwgUWLFnH22Wez0047UadOHW644QbuvvturrrqqvX7//UXfPa50ZVxeVU/AEcizUolkFxCoZFAG+AIYAIuucUfpXXSOyjrPRj2YyZ1Q8t5442CHYr7rKtUqcLHH3/MzJkzqVOnDi1atKBhw4YMHTp0/f4SvB7NpUvsk7zAhn8BFyO9UIxcUzOCGfNfmeG8bQOBAM8//zxffvkl3377Lffeey/RGdFEOBD+WgP0uzuOJkgq6reUzPlAUcc+APhCWh9T+X2gt/d3WyAmKe9L+wzQ3cwqkpovgD3NrJ63fR7wYlL7N8CuZpYXJL0LLqZzFwAzqw/sDnxdgnPy8dlizKgMPAm8KfFuuuXxKR0sQrNXG1O7QOWy2ljfIdD2O3ZdfGzTAfdV4fvvYdWaIAsWV2De7xX4Z1WY+fNh2MsBsjsfxXRaPR8OM8mMVmk5kW2DRThvjDrpFqSsMMlP9OazhURtP9wq6OnAzzg3pleIqMwCrBblSuVN0kYAzXGT3r+ASyVtEIfFXBafJ4C6OHefb4HLJa01s12Bl3CWGtneeV0iaWmKcY4D7vc2+0n60Ks/D6gn6e5SO3GfzcN9nj/0YWitrxqdwfRZGSVyod0Y2dnQqhWxn3/mnViMU7Z8xHJK1D4A/iaiSLpF8dl+MGM4zqKtjbRhVlozGwZ09TaPkzTDzGrgXOG6S/rKzE4E3sa5yY4stH9j3L19Gk7RNAq4S1Lca78BGAiswD0HOiu1S15P3DNwJW7x6kggKOmRLboAG8MlGtg/b7NT6BtqH92Wd94rvUgpmZlw/125a+bGGl21K0u+R5q06WLSCPg11WfoUzRmGG4u03MiB954IJOq5rVlMoDHqt/Kr4vDVKlS9Bibwpdfuhiw93PD/93A4C+BT5ByNyrnQMsMWOCOSqFK8VTta3LXhIQu1QA9XWA/swVAD6UIwm5mBwMjgQbShnNJc8HdX8AF9P8TGAxcB9TG3RMuktQtqf9fQEdJ8wqNk4lT0P+FU8Y/g7PC6wZ8J6mm128sMBR4DZgtaQ8zm4v7/fUELpB0eNFXycen9DDjPlySwH0lFqdbHp/SwbDncYsXjkntCJ0whlrB6jz5aJhTToGSZKCfMQMuvJDYt98SkLhCKhiOZIcganvjjIraEHGhVsobviWez+YTtVZE7Q3cynxLIAI0J6KXy1KB53GapJaSWgEPAUOS2p4Fmkk6APfy9nwRY6wDrpC0D25VtwrQ32uLA3dKaiapJe6l8IEixhkEHOeVuwDMbBfcqvD9Rezjs3VZ/hmdr38lEOHGW4tW4A0cOJA999yTGjVqUKdOHbp168a0adOKHLRCBbj9dkKJBCeb0bhMJC8fTALap1sIn+0HM+oDpwGPFqX8kXSOpIY4Bdp9Xt2/uDh695jZFOBonNtdqmfSEmA3Se1xirdDgX7u+NYE93LeVFIDnGXdq0XIMVJSG0mHAauBk4DHzexuM3vVzO7arItQBGYEzDh6DN2qJ9ffEhvEu++HGDWqdI4zezbcey/xtbHwfbtq8Qubo8ADkFjoK/BKhhlmxoFm3AvMwc2vLh9Jz2+S+13Gk8RXr6P/jYlSOe66dXDpBbm0Ds34bzVV7kAaUxIFnsezCSUuXp27+rJURegiivjtFMP5wLBUCjwAz8puMDAaZymXt8C6uXPPobj4emfhFHWFL+w4nOVdB9yCL95xD/Lqx+HjsxUw4wDcc+pmX4FX7si3wvu6I8HDP6NL6xr8PDtMr14lU+ABtGgBX31FKDOTAPCkmZvX7GDkLbg2KLbX9ky6/Xn9sh2WLNopi7e9OFfTlUUvZRFIlzxAX2BaEW3tgAUlHOd6YEgRbb2A8UW0fQ3sA+wLfOXVRYED0/5Z7egFqggeEix/gktVrVKu1qxRkcyZM0crVqyQJGVnZ2vw4MGqW7euYrFYkftkZ0s1ayoXdGPaz3dbLVl09+4XtdIui1+2iwIaCFoKqliy/qwFaqeor4DLit60BGOciRcby3sePJvUVgXnYpuxkTFGAi1wrqRDvLqhlEK8LFA90M2geSAdwoSpcSyRFLtM59qL2ql6jn75RVvEf/9JLVooNxzWVFCx5+yXLf5cQ6CuoEdBv3kf5XzQg6BOoKDABGOSP+soZwik11/fhA82BYmEdMnFCVUNrtZc9pDgnq1z3qlj4gFVcVat+2zCWB2B37y/2+MSyuS1VcNZ0m5wL8HFxPuf9/cHOIu8phSKl4mz+JuHS4JxiVd3IW4R92eg09a4Zn7ZsYsXc3Qi6GvQBu9dwEfA9zjr8s9xiWPy2hbgLJOmeeX01MfgoKQ+M3HWqRW8tgDOcGKWd5xxRT1bcbEjZ+KU3Y2S6of4v5ciPl9xO0Is20mhXf/Q0cfGlJ2tLeL++yVQAtQl3ee31UsWfyvL3a/LY/Et8XzyiVqIqI0ialGiKfT9UTuIqL2Ps6rZDegBtCaiN4iodJaDNwEzG2ZmvwF3kh8LpTBX46zxNjZWFeCCVH3NLAhcUcw4N+Je0oYA15vZCcCfSpHF0Gcr4lyrPwGuBXaaSAcOPFBUqlT0Ls2aNaNWrVqAW+AIBoP89ddfrFhRdJKnjAzo1IlAIECHUpW/fDHZ+79tWqXw2S4wowLOVehZiXUbtltNL+RB3nYPXNzFFd52/aTutwOfKnVIhbrmMrxiZhVwlnd5bhfzgE5mlufCeALwk6ScouW203GudjPIV/qBs+qpWtR+xeFZ3R1lxuvAb7jnzbvA/p/r0NYB1AeXPReAR3QVjdbM5rCDc5k5c3OOCMuWwRFHEJs9m/9yczlVoshz9tk8zKhoxvFmvICLF/gpcDhuHtEG2EOin8SXEnH3hselyv9OcSYjuIwniZwRZ8SIzZMjHoerrkzw7LPixXgf9mQewOVYSW0+yoTTcYlq5hTXKe93bmaVccq0PM+HKUDYc7kF5+L+rqQN7iWFuB24LdW9AjfvrYuz1Bvv1X0GnAHUJ986z8enLLkEd3+4SNrAWhSK91ICp7hr5ZWirGOnA+29MVrgvveXeW0nAp2AA+S8lD4BNggZZGbVccmgWuJi913p1R8FrJH0ZclOd4fjaWBV4LKn2YmdiL4cJCNjywa8/nro3p1EOMwrZlQrFSm3HxZRji3xfCWeTzJ3Ad1x1ggnrK+N2qFE7WPgK2An4HigPRG9nQ7lXR5K4UqVjJndgltRvbm4ccwsA+fq8ZGktwq1Ge4B9DeQMr6RpM8ldZDUAZiBc8m9zcyuMbPXzexx7xg+W5c+kK9Ym5HRllbtwhvd6b333qNmzZpUrFiR6667jmuvvZadd9652H3atSMQDrOpgfN3HCJagnuY+i61PiXhNJxbSVFxXGoAo8xshplNxy2ynCCn6AAYZGZzvJhVjUiKMWNmg8zsEm/zEGCqN8Z3OGVKnuvrW8A7wGSv/WpcyIiUmFkt4HLcohLAGKC2mX2Pe26OKfHZA2bsYkZ/4CecdcWu3nnsJnG1hFPRSS8DTYBbga+rsYqxsS7svuw7Dmwb44EHILeETpESvPYa7LsvsWnT+DMW4xCJVAoNn83AjGpmnGbGCJz752hcTLXBVF2yH5l2vMTtElOlFDEgIT7BKavX8xhXcFn8Mc48E/qek2DZspLLM20aHHxgLs8+FWeETudU1mfKqAZUL3rPLcPMnjGz33EvVx96v9NkUia0KPTbBfjIzGbilA5fAI8DSErgFAiPmNlPuPnsRlNZSZos6dki2nK9Y1TLUy5K+gl3rb5QyV2PfXw2CzN2A+4BBkvMSNVHRSd8KjGS1iR9nzOASknjCGfdXtF7P6pO6oRPcVyc2bzkUDmesv124KZNlWlHQWgp/7v6ysRrp/LUY2Fq1974PhvDDF54gWAgwM4kJcPaQfgdZ3RUPkm3KaBftpGSxUmeu5uURVxZ/KIsjlIW47y6z73tbTJVM4VcqXCuUJOBmhvZL4x7WXsONjw34DFc1rMSuRN5/Y/BZUgc59UNBM5N9zXaEYrnalAL1OQfqn+X7Hq0T8YvysxUiVm+fLkeeughvfbaaxvt+8ADUoUK+iPd579NlyzeUhYj0y6HX9JacFlcR+GUU9OBj0lyx4Fge2i9Chr/g3PnObyYsWoBWd5YM4F7vfoqwERv/Ok4BVrjIsY4D+caNBVok1Q/CIhs3WujAOgI0GugHNA/novl/iUaA87Ju9+tI0MDuV0ZgRzt0TBbd98tLVjgXCcLs2yZ9OyzUuvWygUpENCLoA1ck/2yWZ9pHdC5oHdB60Bx0DjQlaCGkiCTZuFB4SmBgYEcMrmOzILhSQADzgX+3Q3mroJfkp9tAr1BT9Wu8oeqV8vR5ZdLkydLqaJArFkjjR4tnXxiTMFAXB2D32o6LVRovJggnO5r5xe/+CW/gN4E/QKqXHw/huGstn8DWiTVL8C5wM7AKcl3LmaMxt6zcxXOyCHDqw8A/8PFfv0DZ/VatYgxLvOe4WOAXXAxLE9K93Xc1ouZnm7cOJEbj2s9/fv31/77769q1aqpXr16OuOMM/Trr78qmTFjxqh9+/aqXr266tatqz59+mj58uXr2y+7TAqH9Rtom3yPL5OSxQvK4uO0y1FGxbfE84Go7Yl7EcpbaQkAe+BW/4XL9NWZiD4morQHpy6BK9V1OGvCo1RwVarwOCFcJtsVuExmKtT+KM6S72QV40KV1L8jUEPSGErJlWpHwgvoXcmMembsY0YHM7qZcboZF5lxoxl3mfGEGcPNGG3G52bMMONXM/7DBbVeAcybT5PWyeNXYg0rV5Zcnp122omrr76aCy64gOnTpxfbd9UqwCmSfYpmMi5GpY9PyuRDbmU/+B7cXwXmH4+zyBtiZkU5wb8ITJW0t6T9cC8X4H6LR0o6wDvGhxRhSY2zDGiPs7S7xZNjP6ClpOiWnmhJMKOuGTfi4hWNxVkoXQTsKnGVxA8lHOpbvOdOBXK4gzv5IdGc4357hvvvWEnjxlCnVkydOhE79lgSXbsSq1+fnDp14JJLyJ0+nTeATvE450kFLb58So4ZDcy4woxPcS+6T+MUcZcB9SS6SjxGpi2ygXZ1wALf71Nnn5bXH3R9OGjBweFAeIINtD3cWFYfZxH6IvDiImhZxbm4XQCMXVyfxW/2hCHvjGT5or24KHw7Hz67gHbtoFqVOAe2yuG4bjGOOTJG86bZVK2S4IQTYPl73zA00Zsv4x1ouaFRz6YktfDx8SljzDgRF+7hUok1xfVV0V5KneVcYNsAy3BhgIoaY4H37KyHs7zr6TW1w1kP74azDv8Ed39LNcaTcm67x+CeaQ2AMWb2hOeldNXGzntHJByme58+FgokaWjMjCFDhrBs2TJmz56NmdG9e/f17UuXLuWkk07itNNOY8WKFfzwww/MmzePK664Yn2f3r0hN5cGwF5b8XTSTbm2xDOlXyfjsxHMCOIy5x0fDtMOaJ5IUNGMWDDIwuxsvsXF6HhDYvUmDR61SrhYH82AUKHWVUADIvp3S8+hNDGzRsDrOBPvBM4t5XpJ08ysAW71aR4uMDJAtpyrK2Y2CFgs6WkzOwsYjluZyvshfCnpcjPrhHOdmIMLiAwwX9LJRcgUxr189ZK01Kt7HhdseRlOEfh3qV2EbRAzAjjT+hpATa/U2Mj/hetSuR0L+A/4B/i30P+p6v4F/llCvWvr8eeZeYOcw1CWdDmTj8dt3KU2j1gsRvXq1Rk2bBi9evUqsl/37iTef5+34/H1Ex2fwkTtaJwypR4R/ZlucXy2DcysHfCGpMZmVgdCf0LuVKC9hDx31ExJIwvt1xQXVLuRVHRYB8/l5w5cgO8eKdrn4tzuD8TFVj0bZzlwoaSFpXOWqeTCcAtkFwMn4xSPL+PiAH6/BQO/jYtbVIB1VOAbOnIntz/9KUcEcM/PHOAXnLXENxLl+hlVlpixF+5F92Tc92k18B4u0ckHEv8V6D/QGocCoWEJJQ657dDb7LbOtxEOhpmyeApnjTwrNnfF3Fh8Rvxl3uAU3PPvXEnjNzgudgDu8wNgTjPY+yeYRiu+ow3f05J/qEmQOLvwJ62ZyuLu33LV6IUEUkz/Z8G65rAH0pLSujY+Pj6bjxfHbBYwQeKsTdvX1gINJC0vVF8fF+N1ozHSzOwM4CxJ3c3scdw71N1e2364UERFKko8g4mPccYVxwMNJWWa2TjgfEnzNuWcyjNm1AX+/OADOOaYovtNmzaN1q1bs2LFCmrVqsXUqVNp06YN//zzDzVq1ADg8ccf54knnmD27NmAy0BerXqC2GWPZvG/a28QO8A9PmoXAYOJqMzCQ6STwkobn20IT3l3aTjMrbm51Nt/f3IPPpjwfvtB1aqQk0OFn3+m+eTJ7P3ll5yDSyP9HJAp8U8JD/MkLqtqKqvMirjYBcXGlNvaeC9WBxbR9jtuxbuofe9I+jsLZ4GYqt+XxY2Ton8ucFihugtKuv+2gBkV2bjSrTgFXTVSX7McNlS4/YMz7U+uK0pBt1KpA/hu5IT+HIh7qaoA0IGJ3PxthHXroGLF1Ls88sgjnHHGGeyyyy4sXbqUW2+9lYyMDDp16lTkYXJz4YsvSCQSfLPJMu5Y5CW3aI+LBeXjAwWSD6kCNA7AFd9Ij8vM2uMWmBqn2K85bpX1KU8RuBzoLykvMQVmNhZntbQU6FbE8W/EvWCsxCnULgPeKysFnhk74+J1XoRbEZ/oHfe1TV6EA4iaYeGRWKAFiezWi6DvEvilnXM1Xk9FsnO78NnVXTR+fZxBc8l/RuBcNdea8RdwqbzA/l5c2T6enD0ljUp9TlYVeBOXuCYkqWah9hu8cQI4a8NzU1nJm9l5uFAY2biXu++8+kG4bKNbxTKyJHhK2APIV9ztj7MCfxv4P2CsUiVlGWgGnBe04KNNajbJiJ4StXa7tqNixYp07NgRgCtPvzK08KCFocEafGGgbuD3+N/xborqp1RyCE037C1PBt48BW65B1ozjdb5ur315IShyVMw6jq46lE4ZgxUyIZggtjIuoR6/UWGoLmg/L/g+fhsH9yJ8+4pNq6jmdUEKkta7G33wPNS8pL3hZPuu2eSn8Sp8DhNgYWScr143ifD+oWlecBxZjbY81A6ATZqKd4PiEr6w5MjOb5elY3su0OxNz/u8xPN2Hvv4vt99NFHNGrUaH0ivlatWtG9e3eeeuop+vXrx/LlyxkxYgQ9e+bbFVSsCLs2zuXX2svPAk437D6h28rwdLYFfgeqEbXqRPTfRntvb6Tbn9cvqQto33BYU4NBJa66Spo9W8Xy11/S4MFSzZrKDYe1tANfny+4UzDBK3cqOSZQFkFl8VhSHLyiSo6yio6b4Jdto3ixlGqAdge1BB0K6g46G3QF6DbQA6DnvHhLH3lp6n8E/eHF6ikcZiev/Av6FfQ9aIIX2+dl0OOg/wPdALoQdBroaNCBoGagXUAV03pt4OK8k1hMPYUDuXr+eRXJ8ccfr7p166py5cqqV6+eunfvrkmTJhW9g6RXXpHMlAA1Sff3YJsvWcxVFgPTLodftomCc1/9GvfiAehOmLwcAh/iXjCG49x1rkqxb09c8Oyu3vaxuOQp4UL9AjiX2SdLIE9DnEIviMu49ypw15afpwzUBfQKKNu7pz4BOmCLr2MWpygLaUSluLJ4CJcFMPY0XCB4WPCC4HrBLinOtyJwHPleGVcA45PaD8SF1hgP9CjmulXAZVZtBfxTqO0onBVJNW/7NuCJIsaZj3up64yzzgTYDxiV7u+q9zkGQJ1Ag0HzvEfL76DHQF1BoY2OkckZZKIr379Sa3LWKI9GjRqpMF8s/EL1BteLBQYGZhU7pqjEkl3eITeoun+g33ZzgqUqg69DBf4lmNr/HnYVWHw4r5zUlpW4RF7N0n29/eKXHb2A2nlxNM/feF8a4UIqzMDFsxsLtPLa9vCeqXkx8d4m6Z0QF9LiRO/vi3CKuem4WLOPAhW9tgq4GOKzvbE+AvYoRqY9gQ+SnjE74bI6/wA8k+7ru80UCAnu/5xOq0FauFBF8vHHH6ty5cr64IMPCtS/+eab2nXXXRUMBgXoqKOO0urVqwv0abLPWjFggJKeABvMrcpVyeIAT5exb9plKYPiu9Nug5hxUCjEhy1aUGnoUEItWpR832XL4NprpeHDzR7lSq50ybryWEeIsxlKBdxEeh9gHW7CthZnMRXzSq5XFgC9t4VYeOUZMyrgLNo21xW1Oqmt4HLZiNspxbumrpSIb+HppQ+zC3ATDgDOsWF80+h0ps/KoFJRUbY2gZwcaNWK2E8/MToWI6WrtU8SURsBVCOi49Mtik96MbPrgTNwsev+8SyBfwWelrgjqd9s4ApJnxTavx0wUtLuSXVLgYPkWZIl1dcDftZGXIfMbCQwAKgL9JbU18yGAkMkjdv0c6QO+VZ3e+NesJ4FRmhzrO4KE7VqWHgujc7YmbqHmL69JNH2FuVMXcgDSrI6L7m8+a7NherHA/9TEZZ4Sf0aA9OUZInnfc57S7rI226DUxRu4N6SLtfm4jAjjHN7PhnogYsRNRdnefgWMEmbYCluA20Xw5a8csordvr+p6+vr1q1Km3btqVWrVo89NBD7LHHHkiiySNNchf+u/AJDdBGrHAYRqMFHZnb9IHDP4vXH3EGx9dZRnvz5gU5Yf578jKWXvcQeyiAsbbiSp68rCrvnHigPjtsMsA/z9dsYrZqdptb4v/M+4v/gI6SVmzSBfPx8SkVzAjhwh39B3Rxuh6fconZc8AFP9OUvfmZiRPhwBT+ZqNHj+bss8/mpZde4uST8185PvvsM4466ihGjBjBiSeeyMqVK7nhhhuYOXMmX331FWaGBDVq57Jy4HVw5XrdwO9AE6HYVjjLrU/UauNCWh1FRGPTLU6pk24tol8KFlCzYFCrjztOsTX5i7SbRCIh3X23BNJwp33LLyESepy4sshSFs3Tfb7loXhWFtVBDUEtQIeATgCdBbocdAvoftCzoFdBH4K+Ac0BLQGtLcYKbiXoN9AM0Beg0aAsz4rjbtCNoItAp4O6gTqC9gHVB1ViR8pClKrAGckXcz6NVD24UldcnpT2aQu48UYpGNQ60N5pP9ftoWTRT1n8ta1mufbL1inAdbisdrXy69QHlAu3tkrqdyHODTtV5nDDrea39LYPxE3WKuAULUljczUu3mlxMp2OZ3WHiyn3kvf3S0D3kp+bDHSYd5/OBv0HegrUqqRjlOD6fQ4sO6sTX+vVarla+6eUiOvDu/dOHLinxXGWc3dvxrgvA4+kqB9PMZZ4Sf0as6ElXlecC1Y97zN7EBCwU4r9ewLf4Sw19sFZBl699b+fqgzqARoG+tt7fEwF3QHaf0ufq6FBoU+6R7sXeAgtXbpUkssw2LlzZ0nSpEWTRCYikwM3Iu/u7rejvsn1x8Llx0N8DRyhvOySogaiPo9ekQGaBnoPl9X9dNCPjerMX/frowHtXI21FUJ8jp+l1i9+SUsB9fOeIfukWxa/lGGBpoK4QHFMNUIr9dhj2oDhw4erevXqGjNmzAZtgwcPVsuWLQvUTZ8+XYD++OMPSdJPP8m9Cn3dQYXssUv1/YVMapPJ/WSyZ9qvbRamLNYpi75pl6UMStoF8EvSh4EywmFNa9lSuevWaYu58oqEqgVX6ReaqIBmaGceS/e5bksFlAHaGdTUM10/AnQK6DzQdaBBoEdAQ0GjQOO9Cf180ArP1D2VAi4XtBQ0FzQZ9AkuRfyLoIdAA0BXey+vPXDuVq1BTUA7UQLXHL8U97lSfRf4v78LfShZnCmQHn1UW8Tzz68f8sJ0n+t2U7Lo7Jm2N0q7LH5JS8FlqBP5CRWmARNB34GiOEu4n4CfcVk5GybtewkwKGm7rduX73EWC4d59QdS0HVoFFCkuzsuftwE8l2GMrxjf49zO9qoIgNU23tezPHuC9+CLgBVLYNr2PDQZtwxoCfSz89IkpYtW6Zuhx+sNS9ZQllctBljFnBtLtS22Uo8r/4ynDJ2Ii7OroDqGztHysC1uZjPryZu4e1N0GpQAvSl9yJdpLvYZh0rk3NDg0Lxv9f+rVTkudb2+7CfMu7M+JXMohc9QFVxoS6WgTIKXcNrcEHoi9r3KO+7usj7PwHSqhcq67u7iFepgFo05GNSKNH94he/lF0BNfLuQ5nplsUvZVzguuR3lGODY9TtiFwl89hjj6lmzZqaMGGCUvH111+rQoUKevvttxWPx/Xff//poosuUoMGDZRIJCRJDz8sBSqvFWsrqIAKrxnv4xZWD9zSRRsyOT40KLQ0MDCg4MDgOjK5tLjn11YpLozPrWn/nMugpF0AvyR9GOiajAzF5sxRqbB2rbTf3jnqHnhXhbRLrxY67pmg50EdtnSFOQ3XzLxJbAPQfrh4NceDIqDLQDeD7gM9DRoB+gD0NWg2aDFoTREKOIFW4eLdzPQm8++7l0w9BboH1B90CegM0LGgg0DNQbuCqmxv17K8FFxMpRtxAX3/fRTeKfzB3kN/gXTdddKmWryuWyfdeuv6oQb5n/MmlCyqKouEsuiVdln8ss0UnPWyQB3TLcsmym24+KPDcXFFV3rPmjZleuwsAo+cE5h/R2TXuBLOoGvo0KHq3bu3jj24sbrsa7GOTTm+5OfB9Z6SrWYR7VukxCvUpyPwWwnGGolLSnIEzp0ZYCheDMRS+vx2wVmyjwHl4BbePvKe6/XL7HuTSc3AwEDui9+9KElauXKlYrGYJGc90bZtW8UTce3ywC45ZBatuATtDfrZ++0sSHEN7wempNgv5Cks56aa+yx/plZMWeita0mYoRuOZ6qyqJMkfxMyObJMv+N+8csOWrznymhvQahCuuXxSxmXytyWfAMexYkCadYsrQdQKBRSlSpVCpRkpV40GtUBBxyg6tWrq3bt2jrmmGM0ffp0SVIsJjVoki0ue1wFFHjzmOctci7zFtfWAJ8Cg4CjN7bYllfIpLpl2gtkosgbkfiSlUt089ibZZmWCA0KfUImDdJ2fbMYryyeSvvnXAbFz067jWBGMBzm+gsvJNisWeo+N910E++99x4LFy6kSpUqdOnShfvvv5+GDRum7F+xIgy8O8ypvY7jZ5qyF+vDBBXORHsjLiD1+cBsM54EhqvkGW43Gy/mQw02Lw5cDa8EUwwdJ3Xstz+AOUW0Jf//n0Tulp+hz9bCzCrgYk/disuU+ygw+EppOWa9cJYmrQFu4r41OWR8d+cjA9u9+aYFH3yQ8IknQjhc9PixGLz/PvTrR+78+SSAayWeKnoPnw2IaBVRmw20A95Itzg+2wxX4SzpJqZbkJJgxk7AObj7zb441+ArcbHuVm4FES6sVlGNVtTsbph7nC9atIhZs2bxxbhv+SOruTrdvCxqZjW9F4AiMbPrcJkKj1SKjLGlgZnVl7TEzCrjXg7u30j/04HZkmaY2YmwPhZUAqi6ZbLQGBff7mTgEFwm3DG4+c9oib+3ZPySoAH6JzQo9MHwGcOPO7f1ucFZs2Zx8cUXU62aC9n43HPP8cWvX/Dn6j/DwCtFnMfJuMQvebnWs1N0q0/qLLNf4e7BKcmJZcSBYI922L2nw82v0uqQZsw7TtYnPJc6QQs+Ele8UmBg4DmhfhqgrfGd9/HZUegFHI+Lg5fqd+2zLRO1XXFJRdbg4vwuxt2Hk8tS3D04wu2cxM35u5/AaJqF5nLNFY354OMQgYAzuNoYZ555JmeeeWbKtv/9Dxb9FoCrH0muXksTzpb0lZkZ0Az3TDwUOAuXECxhZtOBL3BhPL6Ul/04DxtoXe15G8MKMk7teypZp2QFAO4+4m7qL61vN95xY9dYTmyBvWTvcy4naUAJTqZ0WQTstpWPuVXwlXjbDl1zc9ntyiuL7mBmDBkyhBYtWrBmzRouu+wyunfvzrRp04rcp0cPaFg/xpAlfbmL9ZmkT8CsFVLejkuTdtkHeAR40IxXcUG4v5Q2DKhqhgGV2TSlW+H/i0ovvobUiRd+pGTJGVanktlnOyJqRxDIOI1EzvVEin5JMLMw0Bf3wKkLPAXcK+nP9Z2kN4A3MGuEewn89Q4NWjnAaPD77zzaqxcn165N7mmnEW7TBpo3h8qVYe1amDMHvvsOXnuN3L/+IhwKMTYe53KJ+WV5+uWYSUD7dAvhs21gRkNcLLS+2/I923vedQIuBk7FJYCKAr0lpmw1QaK2CxZ6wOofYS7MnGOnnXaiS5cuVKy2M42PezrUcHCv6i9dzEm4VfaUmFkDXIy6ecA4N48nW1IHr/02nAvzzsD+ZvY40FrSUjMbhHPVfNrr+73Xr7qZ/Q6Mk9TbO9RHZhbAuSm/DAUzbhWSqRZwOc4KAJyC7QJv/PnedonxPrd9cd+xk4E2uEDx7+Jelj9UaSQZ2UTiimeNmz/uhKs/uBoz47B7DlvfNvTPoUz8biIZwYwfs2/L/iF5P2/h807y3ZLzElqlUm7uinNbL0xesopUybDIiWWs/x3ecALMXgyRYVRrUysw0hDXdryWVvVacdn7l527NnftMTbQztYATSjpufv4+KTGjJq4BeiXJD5Lszg+m8fuuGcOuJAfubh7dYgNjWg+Z3euJsyx5HISQJAEL8V6c+i4L3j4YejXb8uEmTIF+t8cRwPvgL1/xpNlPHCz0EQAb7FvjleeBzCzXXFznkO8cjkQMLN5wBdU4Gsu5yCqc87hNx4e7x7uzt9/5K+BLV++nPeGvMeiKYtswBcDAo9/+3j3oAVH2UA7TwO0fMvOapP4HThqKx5vq+Fnp91GMOO2evW4Y8kSirEFKsi0adNo3bo1K1asoFatWkX269tH/JY1gU/iXZKrXzV0Ni6r6UtAdzac0CVwN5z/cFr4imyooEtlBZfAKdKKy3pabGZU3wpuBydqVbHwzyi3HvAwEV1XuIuZBYEIkIl7aD6Pi5n0+6YezowmwLkVKnB8bi77JRJUyGsLBMgJh5mVnc0Y4AUp36TVZzOI2uW4GFe1iKjEWR19yidm3A2cBzTaFq0OzKiFy5R6MdAcF2vvGSC6lazuChINDgWdM2TeiSxYspbMK7oB8NOCpVw68A3GvngJ/65cS7seA/hxcGBu0GL7Etk+M8+Z2aO4JCONcMrDaUltxwH/h5ujhIAHJA11bRjOyuFkoCeMbgbXxmHlasiYAfufJL2/3BvnBGAwbi4zA+gr6b8UsgzBZRpuI2mqV1cNZ1UxV1IrM3sJ+EXS/3ntZ+OUlk0kLfDqxgCvk8mIoAU/DAVCGanOXYiceM4LGqBn8mVgZ+A1oDMbvgz+J1GjkMyzgNclDShYTwC4FKfADVJoQf/nB5vmNK33y3q5Xv4bLvwzyC41dmV4rywObXQoAEtWLuH8d86PfzD3gwDwP+BWDdDaVOfj4+Ozccx4Cre4sI/E1lR0+JQWUTNgJs4oJuVCCfA3cDQRTQbArCLwBM7CPwRwL/25xe7hySeNSy7ZPFEmT4Yjj8llVevPiY85CoIJgPOFXtzUsbznXUfylHoBOob6hyqf2f5MhvYYytChQ1mwYAGZmZkADBs2jLFjx7Js2TKys7PZp9c+PPnXkwC7a4B+27wz2gyidhVwGxHV3WrH3Er4lnjbCNUDKzt17Fg1VPTvfUM++ugjGjVqVKwCD6Bde+PtaJsCdSupejouG19x5E0Sq+AUc3PZiPLN+3/VtmxR4bNdMIBghZ3Z93aYMeAaojaMiHuB8yw6TgEG4sy/h+GC3W+2ZZxnVXcHcIcZQZzpdUUgO5Fg0bp1bJcvwdsok3CLB01xCQx8dlDMqIRzSX18W1LgeUqgg3CKu9Nw4RlewSlxpqT1+RaqvCDyyJp1381/J7wuV4wf93F8/B0Z/+wNHL1HrPLBPW6okBPD7j8zuCoYqvAz8Vg8bbJuOW/gXG+/SK70XH+GA10kfW9mjYE5ZjP+ghbH4JR3DYGFsPRd6FkXKh8i/TPLWRP+dhNwg5lVBV7AJUSZ41ka3g7cUIQ8U3AK5zyfidOB2bB+8XUc7iXs/7ztrjgX8S7AEDML4V6ALtUArfb+LhGeBd50YBc2VOABVDHDCn03U7rTSiSAJ8wYg1MydiRp8pkTc/q7ZXG4fGmA11YmuPjACxh89GAWzV9Ely5dvHHEV199FXx07KPc9OVNV+XGc0+wgRbRAO/F1MfHp8SYcTDO8rm3r8DbjolIRO0V3DtKYWI499pORJIMDqR1wPmY3QocA1Tsx4PTbta9R196KQO/+QY9+CBWu3bJRIjF4NFH4ZbbY+R2mkDirRPzFHjg5t+bjKSVuGRTH4PzgoqtjUUn/jbxZM+oogDrQ3x88QV//vkn+x+0P6FLQl/n3pG79RR4jt+BnYlaBSLaZuaZpYGvxEs3ZgcC9x8Y+vSwOnW6lni3sWPHMnDgQN58882N9q1dG/6NFfRarUD2Wtxk8x/gDJylQfKKcJ7S4n/A3VsjToyPDwBRawl2XcXe6wIdD/oErahK9xarRzWaaHuc9ijH4VyJWgEjgJMl/Viah5eI4+JY+JQN3+PuL+3xlXg7OmfiJpRPp1sQWO/K1BunWNwflzn3WpzV3QbWWWnhtJUDoqcxIFVT/zOg/9aWpwyRnIum5+a7QTPU2dmM4+Dj86F3GJq9D8zCJcB4C5gKdXsBe0n/zPL2exL4CKeoOxaYKmlOirZUjAQuNLPrJWUD5wIv4pS94JR4T5lZhqQcnJLuRpxScQjunrdscxacJGJmzMcp5nJhA6+NIG7haS2AmVXCeUsspggkfjHjEJxS8n68OWBOPCMMxIf+R/ZrKxOV3zr9LXrs0wOAZs2aMX78eAA+++wzHnjgAa487Eq6H9A9eMiLh+y5eOXi+3DJSHx8fEqIGRm48EUfA1lpFsdnc4haXVyojbNwi4CFieHish9aQIGXjPQH7llBGBB8Y8bMrCyefvttal51FaFzz4XGjVOL8N9/MGIEPPx4Lj/NMRI33Q233wnhAnYI8zbr/DYQVbk20B776e+fev3w1w8btK8P8VGxInXq12F1cDVaolGlcexNZJH3/65QvsIg+Uq8dGLWEZcFplI4kUN2CfXDo0eP5uyzz2b48OEcc8wxG+2fnQ0ZgZizpfPIIPdNyQWWN6MF+auwMdz34nXgFokFJT4fH58tJWoBLPwctVom6tVfFhg/fjz8Pd30QZvdb3qFuUAT4G2gj6Tv0yusz2YR0Tqi9j3uhdafrO6geNZuVwGvSvyRZjk6km91J5zV3fnAJN+qfNvCjKouG3zWdLjqY2hksDwBd70EGYMl5hTqvzuwMKlqAVDfs4orsk1K6YK8BveS3cML9m04SzwAJP1mZkuADma2EBd77iPgAa9LV9ycb7OQ6GRGa+Ay3PcTCrpvVMdT4uGUfZA6sUXymAngETM+AEYDe323oPWvrRpNf/yjNbwF/BxPxFNqUYcOHco555wDwE6VduKv1X8hNGJzzs3HZwfnemBP4CT/mbMdEbWqQA+c4u4oXIKhUThr7NNwIX/CuHfrv4BDiGiTjAQk3jRj7D//cNM993DRoEHstMce5LRrR7hRIywQgGXLYPJkcmbNVjhuuaaeb6JXB8G+cwoPtxB4bwvOuDBfhAPhP1+Z8coue7FXgYauXbvy2muvIYlXJr2CVguqOgXlViZPYbob5UyJl/b0uDt0gXF5KaWv4n9qs3+2Nsbw4cNVvXp1jRkzZqN98+jXT2qRMVtJKaxXCprnyQHqk5TdejyoTdqvjV92zJLFBcqyhJZ/pypVqqhz58466aSTNHfUuVo9JBQ7qS1Hp11Gv5TG5/y0svgy7XL4JW0F1Nl75rQv2+PwKE45I6BV0vFrwh6zYe+1cICg7SoYdjeoRhHjtMAFg57tlZ5JbecDP+OSCDwHhIsYYzyQA9RNqtsDt8Q2ytseB5yd1H4bsA6omFQ3Bzgi3Z/h1vuuBH6FF+4AvQ1aBzlxaPsPPPoIaHfcgsASoE6Ka94PeCZpuzLOPTpUXFuKcYYA1+AUvnmKuQtxrrLTkvo9h3PJPQeXYAmcO3ATb7/eW349dJz327kX9HPS/K3p+j71Odr7zu+2CeMGQV+BvgSZJMKDwp/1HHFyQoVYvXq1GjZsqLVr10qShk4bqsDAQIxMdkr398UvftmeCqipu6/p5nTL4pcSlCwylMUJyuIVZbFGWeQqi9HKIqIsqiT1O1BZSFnElcViZdGkFL4rYdAJoDuDQb1fsaKmV6igH8JhTQA9gsX78muDIWjDf7XWoee+4eHSvh5kMrhy28rx5s2bq0mTJjriiCOUx0MPPaRDDjlENfasocDJgan558FeuCzpP+FC7OxX9DkXPb8q0dwri9Bh+6CAEStvc6+0C7DDFqiXpFRTFmcqFIzrv/9UJI899phq1qypCRMmFN0pBQe3z9EFPJt3rOmCAi9NoPqgZ9zqtpu4+cUvW71ksbOioX81+WpJ0tKlSyVJY8aMUedDO0lv7pKrrMDLaZfTL6XxWV/gTX42eFn2y45RQG+Avi7749AZaOAUeaFWoA6gF0FrYMUa7+8OEDgZmF7EGJVxLiiHeNtBYGfv7yY4l8V6OKuod4DLixhnPDAZ6JdU93/eJHaUt30H8HxS+yfAN7j4b+AsrApMLMtjAe0Guhw0FhoJvssBvQc6HzofCfxU6NpOAo5Kcc1PBcYkbTcHft9YW4pxhgDXeH//APwGVEuhxIvgrO1eAo7x6u7CWXqu3hSlWjHXZgLoA+9v8xTip4OMTIxMzggOCK4JnBkQV1J/E8du501LT5UEmVyYcWdG/N91/yqZ4cOH6+KLL16/3e3lbrHQoND76f7e+MUv21Pxfr8fg2aAUi7++GUbKFkElMWhyuIpZbHcU859oSwuVdaGi0fePqYsJiuLJcpiz60pL+IExCjEXMT3iP/7Zgz/58m9xQtJBY6VSTsy0cTfJyoVK9asUGhQKEEmfdfv456Rfb2/ewGTUo5dzPxqU+ZeB+9F9q41+a28zb1SBcf12QrMLhRY8mg+IqRcXn656H2uvPJKVq1axbHHHkvVqlXXl88//7zIfWbNgq8mhanGysFAW6QDkCYl95FYInGxxAeSb8btky4CD5CxU2VaDgKgTp06AHTr1o2Fv/4O7Z8MQeJsolby4JE+2yqTgEq4l2afHQGzaphdgNmjS6z+Ex35+mSclVyZImkCaCVUrwYTXsVNytoBN0Ct+hLnSUyERA0o8vkXAb6R9IU3ZlzSUq+tF/COpD/kZnpP42L9FcVQXIKMvCQ9pwPRpPZxOMUQZpaBm6g+l1fn/f+NXCDscoUZTc24wYyvcS4w9wErnLPQeV0ljpd4ASbMwLm97uv2s6Y4V7RU8VHHAG3MbB9v+zJcPNWNtRXH1cD1coG+CzMOZ613GPkJOT7DWf0tkrQoxT4lxoyDgENx1wZvLj9B4lUyrXbQgq8Dr5zR8oxKdVvXJbRzaKYNtJNLOr7EZFyyi/vMqAiMzI3n6u05bxfoN3ToUPr06QPAsjXLGDtvbCCWiPnhEXx8No2zcDEkL5LITbcwPoWIWkuidi/ODXMC7t47GGhCRIcQ0VNEtCzlvhEJZyXemIh+2VoiAwiNFuoh1FSopdBtHbrpNpwF+UtE7fhSPNyUcCC88KAXDiJ8Z1iFS50H6iihRAwXpxYzq4ubgw339n8TaOg9xwtT3PyqxHOvnDjZpxzIXMrZ3MuPiVdSorY7FroKxZ4mormbM4SZ1cAFUu4RhON+xn1DAOqwnLMTL/PQfedw3nkZVKy44f6eJniTuPdeFA6z8OHc6/o/pOsSG9/DxycNRO1QoA/Nb4TsFaxa/huVKlUkGAzy/Q+zqbNTdajVGmp3SLDiu2eJ2n5ElJNusX02m5m42E3tcYkufMozZqfgLJmqAtTnD77mYOIELsYSY5D+3vQhqQW8D0yW1mcLTW433PfrYuAMqFkJVn6Bm8RNzFuwMrNhuFhlAMcVcbjmQLaZjcZZ9X2PW9FdSuq4arsXI/pvwB9m1gGohbPMSz7/icCuZtYQN0X4FmfB9yKQyRbGVduW8D6jlrjEDz1xLssrcCvq90DGiZB7DFALpo00s5WSmkr608wuAl4zswQuW+sVkos1ZGaDgMWSnpa00swuAEZ5cfB+wJvIF9dWHJI+KaZtiZn9CvwjaZVX/RXus3xhU69RCvrjvhOfJVfaQOseCoReql2pdo2hPYbSrWk3/l33L9d8eE3NIdOGjAwOCmYllLhCA/RPCY5xK04heqUG6IHwneGPsmYMP7r3Ab2D4LIO/vrrrxx0kIvd/sasN8C5ib9d1IA+Pj4FMaM28DDwtMTX6ZbHxyNqjXALdxFcgqvfcMqeKJFNjMXtFHnbUkbU/kAd4HWidhQRfbmlA2qAZAPtTGDPhIpUMyzXAP3r/d0QWCIv7qwkec/M3YHC+pXi5lclnnvlxMhuvhthytncyzZHMbRD8kr4HRTrjoU+RbEjvR/mRjGzXYETcYEvD8dNNj8DRv0IVfaGe/L6zqcxBwR/4PwrKvPw/1LGEd4k3nkHTjoJgNMkXt/iAX18yopooL+L7+P49he4+AWo5imzHzkHWjfOa7UYqCkRLdxgHJ/th6h9CcwgokvSLYpPGWLWFmf9VtSi4UdI3TZtSCrhXB06elXNJH722qrjrBsuwmWxngk8A8EbIHGipGmpx7Q+wOmSNlDkmdmjOEVTR5z7xt3AXpJ6mdljOIXRPV7f5jgXzQ0mk2Y2HpfxvSJuPlALl5FwN6CHpB5ev4+BYbiJ5F+SnjazX4D9cArE8yUVbYK/DWNGAOiAU9r1xMWlWYxbpX8LmOBbpKTGjOa47/MpEiMBbKDVCFjgkYQSfc5ucXbi0WMfDfz606/079+fnJwcGjVqxMk3ncx5b58X+y/7v+W5idxzNEAfleBYg3AWh03JtKMDFni5Tb3WsRAKx7FYIilV2ry/5wX/zf53ZPyO+Gllde4+PuUNM17EGXbsI/Hvxvr7lCFRq0N+ZtlOuMWk13HJ174kUrR2arsjaiGc9VtnoDMRzdiahzc3J4xKapZU9y1wk6RPC/Utcn61KXOvfXez32/qzqq+z5BJOZp7+ZZ4JSFqJwLdaTEIZtxxOM4Es0iXC881o4dXOuAsTsbgAjC+J2lFUucwLghyuAkLeDx+KX0eGUabttC79+aLPGMG9O5NLBAgGo/7CrzygJlVxH3vmuO+U38Bl0rOMtTMbsFZEeyFC7o+qohxuuG54njUBf6Q1MZr74C7uVXCuTT1TuUCZGaZwADvWHlm0oaLHVVLUk0zGwA0lHSB134I8DnQVdJ4r+7pimH+XjuEDnljH7gnTL27qCuhVb4Cr1wwGTdZ8ilHmLEz7nNtBezRhU8Pa8L80D7MoRXT6MSXVGFN8i5HY9YG6bsSjh/C3Qfb4+Kg5ALXuReiOx+A1w8FMzjlK7ijE/C1hMwS/YobV9JQM3vazGpLWl6o+VdgXN590MyGAx8mte2Z1LexV1cco3D34GycMvKcQu3jcKu+TYBLvbpvcC8Zu+FWjLcbzAjj3Et74uZF9XGBqN8ERgLfSpSfl6Sy4wachdyovIqgBSdUy6jW/IWTXqDnvj0DOTk5XHvttYwcOZKaNWuu33HOFXNCl4y+ZOc3Z7/5oQ20kzRA72zkWPfjEndkAjcllPjf5CVTOL0qx9UMsssL/zI0RoHP7LVSOkcfn3KPGV2Ac3FGFr4CLx1ErQpwEs7irhtuLvE20B34qNx6+0QUI2pn4PQSHxK1TkQ0fytK8BtJWeC998bdST1vKm5+VeK5V3Yu2RXD7ER5m3ulOyjfNl+yqKJoeJG+OCO+dOlS1ayWoWcvCP6nLGrk9cFZ13UE7sVlLhGwDGeCeSJQudhjwM6CKwX3xghcU5tlT5hJDzwgxePaZD7+WKpeXbmhkL4E5WfK8ct2XXDWG8eRb0F7BTA+qf1AnFXDeNzKQknHHY0X7NP7Ls/FKdnApb1/vYj9MnGKmHeT6o7ExTv7x9vuDMxNar8dd0PMTKr7Me94ftmBShZnK4scZVEh7bL4ZYsLqEswqLfMFAOpUSNld+umeI+T4jqyS47q18kWSNWCq3QxT2k2zZSU3OnKEh7DQM+C4kl5oQRKeP/PBF0FqrXhviygQHZaagK7Jm33wC1abJDcCTfBnA1U97ZvwC3IQb4lWXJw5StSy59/b8YptPISH/TFC67sbR+Em4zOS6q7CJfJ7aN0f9Yl/KwqgU4CDQWt8D6faaABoBZ+Eq1Nvp4NQTmg8wvUZ/Lc/k/unyOPzz77TCeddJJOOukkde7cWaNGjcpr0shZI0UmCTJLllwDdB4oBmq+vj6LxspinbJcko+C/bdixkGt/z352Z79sl0VUEXQj6DR/n1wK5cswsriOGUxXFmsUhYxZfGBNx+tlnb5tu61qKEspimLn5XFLlvz2N69u6/3dy9gchH9ipxfbcrca7dazBp5DTFlEShPc6+0C7DNlyzu06tVc7Vmia644gp1P76bXry0Uix3GE/gNPdPeV8i4QJfPoRTXGx21kXvRaW/meIHHqjcyZNVIhYvlvr0cS8zwaDeBBWvPPTLdl1wgUEXpKhf/6JYgjF2xVn11fW22wNzktqrFZ7wJrVl4lzDZgH1vLoobvXiH287A1gDNPC2P8EpIsd72/W9428z2X78spVKFs28TFkHpl0Wv2x2Ae0SCCgK0kEHKXfoUOmff5SSRYukwYOlvZtkKxzI1W0M0loqSHBuCY+VmaSwK6zEeyHVCxHwDE45FwP+xFtUABrhYp7MAKYDYymo5HseODFpuzcuZtr3wAc4C+O8tgtxCodfcHHPilM69EhRX3giGQJWAiOS6pp584yb0v2ZF/P51ABFvMzDq73P5ivQ9aCtmp2vvBXQQ6BFoAKLHmRyOJlo9tLZkqRoNKoGDRpoxYoVWrFihfbZZx+tWLFCknTqa6fGw4PCX2zCMYOe4vW9Am1Z3KMsViiLnQr237oZB/GzPftlOyyggd79sVG6ZdkhissS20lZPKEslnrzzq+UxeXKyl8A2CFLFvWUxVxl8V2ycVJZF28+8zVOOTYZaJHUVnjuVeT8qqRzr9pVmfrWtUhZ7l01af/teu7lx8QrjqjtDzaNdo8FZ8W68sADD9CoUSMaV/6Nc3Z7kQNvhynzmYozzxwFzFApXlAzWoXDvJCbS5vWrYn16UOoXTvYbz+oVg2ys+Hnn2HaNHjzTRLvvYcFgyzLzeUy4E3JzzRbnjGzl4EVkq4uVD8e+J+KcKct1PcWoK2kU7ztU4CLlBSjysz+AjpKmldo30ycNctfQBz3sjwJp9z+TlJNr99YXEbG14DZkvYws7m4gLE9gQskHb6Jp++zvRO1AC6o7M1E9GS6xfHZdMxoEQ4ztnZtdnr6aUJeDNaNEovB44/DbTfH2C82PTEkdvbN+zLnQJzS/zvgJVTQZd6Mq3GLBkXxD7CbVNBX16dsMaMuziXpZJwldgBn/TQSeFticRrFKxeYsRPOOiBTYnCBtoEWDAfCf95y6C21M7tk8uGHH/Lcc8/xxhtvAHDGGWdw3XXX0bxVc+rcXyeeHc++QgP09CYc+wicgrubhIulF7XqOIv9KBFd4/pZXa9uJ+W7SC0BDpEKJoMzsxuAPSUXD9XMjgNukXRIcW0bymbjcS7ZF0pq6WUc/BF4EjhMUg8zOxR4SVJTL+PgHOAunBI+08zOBC6W1KWk18THZ3MxY1/cotFNEg+lW55yTdT2w8W4OxPnajkbF+PuFSIF32d2aKK2B/Al7t54LJFtJ/tqqRG1pjjr7vZENDnd4pQWgXQLsM0StQAWfo5aB4iml3DrrbcycOBA17ZzJ1S7Y+KLgeHZyqK9pEGSvi9NBR6AxLTcXNoDR0yfzuvXX8/qQw6BWrUgFIIqVaBVKzjvPGJjxvBFIkHv3FwaSbzhK/DKN57yrSlw8xaMYcB5bHnGvKG4WHxn4RR1hWMbjcOl5u6As3wBtxJ+kFc/bguP77M94gIFT8FZf/psZ5ixbyjE5+3bU3vWrJIr8MA9v665BiZPDfHHzi0DZ4Zev28lVU/BxaIZAPyMWV/vOG3MeIF8BZ7Y8B4DbkGhz6adg1Uws8fN7Gczm+HFuivc51wzk5n1KGKMFmY2wczmmNkPZvaimVVKan/DzBZ7Y9QsRpbzzGyWmU01szZJ9YPMLLIp51XWmLG7GVeb8RlOUfMozq3xAqCuxFEST/kKvFLjMpwl6bOFGzRA8dxEbtaw6cNyJdGxY0d++eUXcnJyyMnJYebMmTRu3Ji357xNTjwH4I1NObDEJ8C7wINmBAGI6D9caIzLidreXtcNMg7iFI+psgWWSsZBj+Rsz0dTfMbBjuRnHMzLSL3NZRz0KZ94SX2ewVl/P5pmcconUdudqN1I1KbjLOd74xJUtAb2I6K7fAVeIdz1OAZ3jaJe4ovyRl5c993SKkUp4yvxiqYvinWgw/OhMR99zN57783uu3vzCAsQ7PhcoGIosQ/5gQ/LBImExKfxOJFYjGo4V4PjcUEWewAtEwkq5+RwmESWxNqylMdn62Fm55jZNK+cm1R/Pc6C7VhJW2J1chguzt6HSXW/4tzM8o5VDagBRb+MyQV7X4h7+X4pRZdxuIlyV9zkGVyG5rw6fwK94zIJX4m33WFGhXCYN1q2pMpHHxGsVWvzxtlnHxj/ZZjfqzTjKnssuSmcwF7sZF/OxCl6DwZexSnyngJeAd7Dxd+ahXOX/Zdi7lNFcC9OKbi3pBa4GKDrMbPGOHeNb4oZYx0uDss+wAFAFaB/UvvTuCQfG+N23G/hauAW7/j7AS0lRUuwf5lixr5m3GLGZNz9fhDuup8O7CzRQ2KYxIpiB/LZJMyoDFwFPCnxXxHdXpn/z/zwtD+mUaNGDfr370/Xrl055JBDuOqqq6hbty7RH6LxYCD4iQZo2WaIcQOwD27RL48XcFZv92/GeKXNi7g4eud7f69HUg7OyqSLV8ZL+gVo4CUL64K/kOizdTgXl/TpIolYuoUpN0RtJ6J2MVH7DPdsuhmnvO8CNCKiG4loGhHf9bBIIpqOW0Q9FniaqFmaJSpdIloLLAcapFuU0qQ8alu3nKjVwUIP0fgso0oTpkwcycSvv+SYo49g7i/zqVSpIk12u4/Dml5kzH32XqL2JhEtKWuxPOu6BV7xKedIGoZLdb0eM7sOZxp+pKR/tvAQ5wNDJMWT6qYAYTPrKmkccDEuccXGzKtvB9pImuu9+CYzCZcB9yxcohdwSrzRuHg03+KzozIJuJ6oVSOilekWxqfE3BYM0uzVVwlWqbJlAzVpAi8MDdOjR19O4Q1O4D0AAsjuYFClY/jwMODz0rYuN7MquHtggzwrekl/JLUHcLFZrgQeLGocST8n/R03s0m4UAF5dWO98TYmUhy3qFIFyPGO/zBOibjVMcOANrgFo544Jc5SXOiQ24FPJbLTIdsOxrlAdeCRYvpMzAhmLLpt3G27dWnUBRpCj/t7APAP/3DfF/fx4dwPLa541uYIIPGjGU8D/2fGCImVXobDfsAYotYVmMlWzjiYxCjKU8ZBn3KHF3bgAeBRiSnplme7J2qVcUqns3BWZHFc/MwewBgi8p9Nm0pEnxO104C3cM/6zfb02kZZRDmzxNvsmHjeCtYIoDkuMP1fwKV5sS/M7CXcisNaYBVwjaRJRYwlnNlrnjLhSkmfe20dcC4ElXCrvr09y5/CY2TiLIF6SnrLqzNgHlBLUk0zG4CLg3GB134I8DkuM+Z4r+7p9ntQ7ds7Sem+kvkmNK4DfQ8rUH0KEY0s/or5+GwZZtYA5zoyDxd4EyBbUgev/TbgEmBnr30d0FrSUjMbBCyWXCwcM8uzrmuRItbdQTiT/4pen96SfkshTyZQU3IxcZLqGwPT8mLieXVjgAMk1U+qWwJMl3TM5lwPn3JA1E7CvYANJ6LeaZbGpwSYUTUU4o/MTKrcequrGzFiBE888QTTp09n5cqV5ObmEgq5NcJ58+bRu3dvfvzxR3Jycth5553p27cvt956K4FAvjPAicfHWP7RFL6MdUw+3HSkVmVzHtYSN+kfgYvlthaXNfsTr/16oJqkASWNM+opBqcAN+fNQ5LahJuL/JNfRxCX0XNvuLwzvHIy5K6AYB/493AgKKk45U2p4snTCae0O5l8JcxbuBh3X0rEix7BpzQxI4SL4zNGKt7rwwbarRWCFS4vqj2WiGXHFT9AA1SUNd/GZKmDi3n3hMSt6xui9gEuCUU7O4tPcAuDQ8ysFy4QeLsNx7I9gC9wSuI/gbdxmf8eL64txTjj8X6XZtYTWCNpjDlX/B6Senj9DsJZ8sYk7eHVXYSzvF0g6ejNuSY+PiXFjCzgUKC5xKp0y7Nd4tw8jwQiuOdTZVy8zixglOfm77OlRK0PMAToR0TlJ25j1N4DlhNR4UWe7ZYtVeIdDnwgSWZ2BdArLzismZ0IvO+tyJ0APC6pcRFjbTC59eoDuMwlF0oa502qO0g6NcUYmcAJuJgc3b26I4F7gL08JV5n4EVJTb3223GuqWMkZXp1PwaMS+LDEXjxP4pHwHgvvpOPj4+PT0mJ2l14roNAhIheSac4PhvHjIszMnhi8WKCtWu7ug8//JAVK1awdu1azj///AJKvJUrV7J48WKaNm1KMBhk3rx5HH/88Vx22WVceeWV68cdNw4OPxy+ozWtmZZX/QnSkWVzHtYGp3DrI2mYmbUGPgb2wy2EPAd0lpRbEiWeFzR/JDBP0lUp2gXUclkJOS4U4uJEgsMTCSps2PfXHKnXShh/MdRoD7EmuKy6txbuu6WYUQE3l+uJS1CxMy4AeJ7i7js/xm56MONMYDiwt8Qv24A8/XBJIZpJXtw6Fzz+e+B8O4uvcS9/tYH/cFmnZ7h97XngHUnveNsXAjd5Q48HLpGUu7G2gvKk/l2mUOKFcHHy3pN0hlfXDBfI/WZJ9272RfHx2QhmdAPGACdKvJtuebYrnFtnB5zF3em459NEIAq8SkR/plG68ouzsh4M9CGiYRvrvl0QtWeBpkTKTyLFUstOa2btgDdSKerMrA4u+HGlvKC3hdqLUuK1B172Ys3kxedairP+WVeobyYusPXRwOGS/jCzKM7S7h5PiZeBy2C3t6TfzewTnJvMjZK6mFl98i33yl92Fh8fH59tiajNxrnpgQuMfzAR+a4m2zDBIK8efTSnfPDBhotc48ePp2vXrgWUeIWZP38+J5xwAl27duXxx/ONayTYuVYut/57I9fmJ6Htg8pmAunNS/4EMvJCCniusDfjrOPugPXuovVwSokBkp5KMVYYl9RnGS679wYTKzfPmdg9HD7wkdxc9ujShfiZZxJs2xb23RcqVYK1a2HOHLjggp6Ew5nxb79dGjR7bpU04mSw3jgrpyLjd5lxBs61aD4u7MZ8ryxOtqAzo6rXryduIbM6TqE5EnhLYnaJL2Q5xcz2wiVtqoOLt9hX0swi+p6PUzoFcDFeL0tSSBXZVmiM8bjYjw0k/eXcmWfPhP32Bb3tZVodB7wgabi3z23AbSTNic1sDnB5nkVpaeIpfGcB30ictb4hak/hFMB7EdHq0j6uj8/2ihfT8gdgqsQp6ZZnuyFq++Is7iLAHrj4m3mZZecWt6tPKRG1+4B+QA8iGp1ucbaYqN0BnEVEzdItSmlRmoktrsaZvRfV9n4qBV4Sn5jZdDN7yHNJgUJZqiStxE2kdy1mnOFAHy8LXHuSgvZ7AW6/ArqaWQWgiaT3yQ9w2xX42lfg+fj4+JQxUWtEvgIPnOXzaKJWL00S+ZSAUIhOHTuWyEq9AIceeiiVKlVijz324L///uPyywt6/pnBgR2Mb+mQXN0XZ5G/caLWnKjdQtTqb7wzSFqGi5/VzR3fmuBiZs2W9JSk+pIaewuT3+CUc6kUeCGcS+4KilTg5V2vvd896iga/fwzjBtH8KKLoG1bqFzZnX/lyvDzz69y7LH7MnFiy+Azz6xmt90qVgE+hiMOhIrVN3Ja/XAZem/BBfj/DOcOu86M382YZcYk3GLoa7j4MHcAjSXaSdztK/DW8wzwrKS9cfHWhqTq5H1v7sS5yjUFdgEu2lhbEXyPy6YI0A2y9oUqs5La8zK959EVmIbLuoq3EN0Yl8ih1PFiIN4IRMwK/FAHAFVxCTB8fHzyuQO3ELCBdbZPIaK2G1G7nqh9h1ssOA8XbqUtsC8R3ekr8LYqN+EWsl4naoekW5hSYBHQoDwl7SgVJZ6Z3YKboGwQBNHMzgZOo/iJSyNJbXGrkDvjgn9uLkNxk9izcJPUwm6ueZOgDuQH1P8GOAg/S5WPj4/P1uIEKBBfK4ib7L5D1DZwMfTZNojFqNOo0cb7Febzzz9n1apVfPnll/Tu3Zu6detu0KfRHiH+CBVIHtYVF7w6NVHbnajdSNRm4gLr38WmBWO+BLjBzGbgXhYuThVztzBmNsjMLvE2T8dZtLUDpnrZxJ/I7xt4D+qsBKhVaz9Wr+4SbNo09bh///03TzzxBLfffjsAffseQ+vWK2z33VtiVmWfGoFfL1lrlW7D7DnM7sbF9UvmZdxvKoOC87sQTmG3L9AQ90JZX+IwiUfWu0b6AGBmdXGf53Cv6k2goZml+uR64dxE//AUuE/jkk9trC0VefNXIN4fhqyBVc8nta9X4nmeJU1wbt9dvPYuwDdlvBA9Ehez7iEv+QlE9Bfut3cjUStXgcN9fDYXM1ri4i7eLLHR58oOSdRqEbULiNo4XMzv24DvgCOA3YmoHxF952eWTQPuml+McwUfTXSD+cb2xu+4OIo10i1IaVFiJZ6ZneNNTqeZ2blJ9dfjJrDHSlpTaJ/TcSt0R0lF+61L+tX7fzXwJG7VEtwK8vrXBc+dNi8gf1FjLcJZ7w0AXkrRJS9LVVdcrA1wq9V5dZ8WNbaPj4+PT6lxElB4RSyEC2j+VHlaLSs3mFUMEg9u7nQ6GAxy8MEHU7NmTS66aMN1PQmscPi1CvQlavmWf1GrQ9QuIWpf4Z71d+ESbAHkQslfliTNk9RVUgtJB0h6s4h+XZLjbkm6Iy9JkKQsSebt38orSWaGiW9CoWUVxo4VK1YsYvz48UXKU6tWLSZMmEDFihUByMjI4J133mHhwu8ZN+5tsoM7HXMPN98JXIBTVk7H7BWcQgecRWBRv5sEbuFyb4nnJPxYQkXTEBdfOQbgKeB+xXmHFKaAxwjOjXn3ErSl4jfgD7Nrz4OPu0BoIi6WWx4TgV3NrCHO+u5b3Dy2q9de5nNYLz7idbhF915JTY/gEtzdVZbH9/HZHvCsr58FJuOU9z55RK0SUTuVqL0F/AE8DiwHTgHqEdEFRPQpEflJlNJNRDHcwtM04EOitkd6Bdoi8uaGDYrttR1RYiWepGFJE9SXAMzsOtyHe1SKeHanAf8HHJmnpEuFmdUys8re3wHcqvZUr3kKEDazvAnKxcC7JVhlvB24TUppdjsJqIuz1Bvv1X0GnAHUJ986z8fHx8enLIhaVdwLZ6pnUBA4Fwr6VfqkGbMuwG8Ng4tDC7fQbis3N5cff/xxg/oFv8SoF/u9YGULegDZRG0xUZuPcwV9Es+FEKf4JenvDTJpb3XMqmLW/jJ78iwzZQ4eTOCII7ZsyMMOgwf/F+Quu40vOTi56YyF7P6CGQNwiTlS/abieAuYEn4Gv22bF2H+7fDI3/DbPckNXkiYL3EWd12A8ZJ+IT8kTBe2gjeJxCScleJ9ZjiNc0TrgP5AH6LWtqxl8PHZxrkE5wZ6kZ/RG5dZNmpHEbUhuFi0I3Au+BcDuxBRLyJ6y7uP+GxLuM/kJJzC9SOitkuaJdpc8iaX5cZaPHXk6RJgZg1wSSHmAePMGU1kS8p78crCfeBvW75BxRGSlntuKLtKugMXE+kZL7lFCGdGezWApITnjvuMN0FZTH68kCKRNBm3+pGqLdfMvgAOkDTHq/vJs/L7IlXAYR8fHx+fUuVI3P0+gVMwhL36/4DpuOfAd+kRzWcDzBoB7wGVD8z9kolf9SJ5+hCPx8nNzSUnJweA7OxsYrEYGRkZfPLJJ1SpUoW2bdsSDAb5/PPPeeSRR+jbt2+BQ0jw7URxBxMLHns1jwFf4xbZupJvnZ/K4syAx4najbj5whKvJP+9BPiDiLJT7L9lmFXHhQOJAFV/Ce5Np/Zxrrxys6daBbj0Unjj1QS3f3kPn8YPW19fh2Vn78TyP1ZQ+y3gXVxMvLzrkwBGA6d7Mc18Ns5vQH0zC0mKmZvE7o6zxivMr8CeSduNk/oV11YE38+EExrD30sg8QlwTqEOed4kTYBLvbpvgFNxLyeFfkBlxi3AT8CV5IfAeQ24BniQqHX1XeB8dkTM2A24B3hQ4vt0y5M2nDdFe9zz8AxcTNBJuDiBrxLRkjRK57MpRPQvUTsGt4g0hqh1IaJ/0yzVpvIvsIZyZIlXatlpfXx8fHx8SoQzyX8d9xI4DRer62hgN//FbxvE7EGcCx3PcQFXhp/mt0VBdt7ZNQ8ZMoRzzz13g93GjRvHihUryMzMZN68eQSDQXbbbTcikQg33XRTgQy2n3wCRx4J0ziAA/Lfe5YAeyOtWt8xak1x7jfdcAqqwpZng4AKuARY9b2yK1CrUL/lpFbwFdyOaG0Jr1FFXKywtgAzac7+zGT0aDj++PxuI0aM4IknnmD69OmsXLmyyEy+U6ZMoWPHjnTo0IEvvvhiff1HH0G3bjCVVrRi+vr6HMJdM5Qz3oxKuCy5lb3rMwLoI1FcYjGfQnjZYodIGmJmvYCbJLVL0W8P3OfeBmdh8jbwkaTHi2sr4nj/A50AWcfB+RdI6943s75AD0k9vH4HAa8CMUl7eHUX4WJvLZB0dClehmIx405cfMWmEksBiFpHnNL9ZCL5Lug+PjsKZryB+83vL7FmY/3LHVFrRn5m2abAz+Rnlv0pnaL5bCFu7v4lLlvwMdud5WTUXJbjiAalW5TSwFfi+fj4+Pikl6gdBXwE1CeiP9Itjk8hzL7Bc29eTWUahP7g2turcccdpXeI47vFWPnJt0yId8qrmg30xLOYL4Bb4e+Oc6utB+uz5QqoSEQ5Kfap6PXNU+rVL+LvOoX2/IfUCr6Cyr6ziOAymgJwL/15pPYgFv2VQSBJzfjhhx+yYsUK1q5dy/nnn59Sibdu3Trat2/PLrvswrp16woo8SRoVD+HC/+8k9v5v+Td2iJ9B2DGS0BfT57LpA0SfPlsBDNrhstIWxtnIXyupBle2/O4hBXveNsX4jL5gQvTckmeV0dxbYWONx5aDYOpTwNXSDzr1feloBIvhIuT956kM5JknQPcLOneUrsIG8GMqrgX9JES+XEgo/YKLjHIfil/iz4+5RQzugPvAN0kPkq3PFuNqO2Ks7aL4Bay/sAtIGUBU/zF2XKES3AxAfc86+XFzds+iNqnwFwiKi7Z6naDr8Tz8fHx8Ukvje0omvERU/mKpUwGhiNNSrdYPo642afB/OD5ZDKAByrcxnfTQzRrtuXjv/km9OoFg+k3vB8P/YKbII5jYxOUqFXCKUhuxvn3riCiwkq4TSNqGTi3n+KUffW9PvkuvXcSZ856ZSIn2yjsxBMYOSo/J0cy48ePp2vXrimVeP369SMej1OzZk3Gjh1bQIkHcPqpCVaPHMPoxHoTvx+QWuRtmFELZwnyqZeIwGc7wIwHgLOBJhLbhYWDGefjlMUtJWYBELXGOKXiTUT0v7QJ5+OzFfGU2rOAzyXOSrc8ZU7UauCSUZyFmx+sxGXyjgLj/MQU5ZioHYKLwRsFLthulLRRGwbUJqLjN9p3O6B0ArX4+Pj4+PhsKmZhXID007wcjgd75SrMhgN9kT8RTBdmVgu45EJo+2xS/S3czbvxkznz1OZ89mWYatU2/xhz58J55xEzY2i/xIMXuFC7JcS5ug7wJmYPk58Ua/NxlkO/sbEEGVEL4ZJkOQXfHzyCi1MGwE/h5py8f2oFXnFMmDCB0aNHM3XqVO6///6UffZrEWD4O83B2TjlANcmt0v8DXyyyQf3SRue4vUS4P+2FwWexxCcS+0DgHsximgBUXsYuIOoDSOiFekTz8dnq3EnUA0v9ES5xFm0H4dT3B2PW8h6DxeT8/0Sh5/w2b6J6AuidiowCpds7Kbid9hmWAQckG4hSosSZ6f18fHx8fEpZQYBpxXRdjZw21aUpVxiAy1VAoji9zHb3cweximybsqC59YlJYvKIJdXYqfy++yVdDsil2XLNk+2H36AQw4htnYtsySu2bxRgIh+IaITiWjAZo+x6ceMEdFiIppCRO/yD28kN+cSpkKFTRty1apVnHfeeTz33HNUrly5yH4VKkAOGeBc0Lsgjd30E/DZxrgUF8Pw6XQLsil4mTf7AceZkRyP7x4ghgti7+NTrjGjLU6ZfYPEn+mWp1SJWpCoHUHUXsC5yb4B1AQux2WW7UlEb5ZEgWdmC8zsRzOb5pXTS9JWaIyAmT1kZrPM7HszG2dmTb22FmY2wczmmNkPZvaimVUqYpzzvDGmmlmbpPpBZhbZlEu0QxLRaOA8oD9R65ducUrI75Sj7LS+Es/Hx8fHZ+tjVoX87IqAC2j2O7vxI3vzC3uwhkpXYLaJqhAfABtoARtolwctONcG2nEl2seslZll4bLOnwpkAruvlq6vCF1w1m5/A+zNz3wW68SiqX/Rct9c3njDxWsrCbm5cN990LYt8eXLmZSbSxeJVRvfc5vmMZw7EQA19C/Ll2/aANdffz3HHXccnTt3Lrbf8uWwzOr+jNQN6evNEdZn28FLRnI18JTE9pbxD4mxuAzID5p5LuUR/QfcDlxO1PZOo3g+PmWKGSHgOVzA/xfTLE7pEDUjau2I2kO4xbyxQCvcwmtDIjqCiF4gon82Y/TTJbXyyqub0JbHiUAn4ABJLXFW53d7beuAKyTtg7O4qgL0L2Kc23HZc6/GZdvGzPYDWkqKbsZ57XhENAy3iDOYqPVJtzgl4HegtheKZbvHV+L5+Pj4+KSDPYAaS6nDQ1zLYaEvqBVaSUN+Zx9+pCm/UM1W1aleIftHM54xo4MZm2xVtiNiA61hKBAaa9hjHRt0bAK8FxgYeN4G2gaOr+Y4ysw+wrmjtgTOB/aQNFiSUypIq5Guw7mP7g98ui9zmBI7gGOWD+fUU6FDm1yee46UlnkSzJ8Pd98Ne+5J7i23kJuTQ2YsRlfP/XP7RvoNOAaX8ILWuROZ8s0G+QuKZcyYMQwbNow6depQp04d7r//fiZOnEidOnWYO3fu+n4TJxJbnR36sjTF90krfXCWLY+kWY4t4QZclvHzkupewGUxTO0X7uNTPrgK90y8eLtPIhS1vYjaAFxMy0k4hdnzwL5E1JaIHiKiRWmV0a33VgAqmpkB1XHKGST9LOl77+847hwaFzFOHKiIU/TlmFkAt1B5dZlKX96I6CHgXuAFotY93eJshLzv7q5plaKU8BNb+Pj4+PhsdYZan30m0372M3YJFSpCz14BOnQMsP/+UKOGs9b65ReYOhVGjSL3xx8Jh8NMz83lYomJ6ZZ/W8RznT0naMEnGtVsVCHaMxrq0KADr898nQvfvTC2JnfNn7mJ3LM1QOPNxSM8Dbget8I+DhfXaoxKMjEwGwqck7f5FQfxuF3Jm9aLnESYhrtks9c+oURGpaD+/ZfEzJnYf/8RCoX4LxZjCPCYxNwix99ecdf1hP7ce/4jGTcct+SPgNWqld8cj8fJzc1lwoQJdOvWjVWrVhEMBsnIyOCvv/4iFstP9PbQQw/xxRdfMHLkSOrVq+cu3n9Qty7x7Gwul/Kz4fpsn3hWPD8Cn0hs1xnzzHgMd09pKnlWqVHrBowBDieicWkUz8en1DGjES6ZxWCJrRfOoTSJWj3gdFycu/bAX7jMslHg29JMWmBmC3DZvg34FrhJ0tKNtRUaIwA8BFyIs35fBBwmaVWhflWAKbis3W+lGKcnLmTLSuBi4EggKGl7XkxJD1Ez4FlcGJxuRDQhzRKlxn3XlwBdiOizdIuzpfhKPB8fHx+frYoZXcNhRlSrHNv5rntDdvbZULVq0f0lmDgR+vcnPmECATMelugvsf2kti9jbKDVC1rwubjiJ1zT4RruOuIuKocrs2zZMvbaay8y78lkbI2x8dE/jQ4ynwlEaUIuuwGvA4MlTd7YMQoe0LoCnxau/puafENHptGKx7li5GJ2WwWsBWYD04FvtrPA/ZuFGdWDQZbcfTeVb7wxv37IkCGce+65G/QfN24cXbp0KVCXmZm5QXbahx+GG25gXTxOfYl/ykh8n62EGacDrwDNJH5Otzxbghl1gLnAExK3rm+I2gdAPaCdn7HSp7zgeQa8C+wFHLBdPdeiVh3oCUSAI4A1wEggC/iUiMpkbmVmu0v61VtE/D+ghaTjNtZWaIwDce6zvXBKv3uBXSWdndQnwzufeZKuKoFcDXGu0MfgEpTsCcyVdGuxO/rk45J9vQYcDhxGRNPTLNGGRC0AZAN9iSgr3eJsKb4Sz8fHx8dnq2HGyYEAr590EvbsswTq1Cn5vhIMGQKXXEIiHufdeJzTJC9H5w6MDbS9gxacWK9qvarDew4PdWncZX3blVdeycKFC+nZsyd9+vRh2PRhXD76ctatXPdvPCt+kH7X7M0/sA0DehfR+gjSNZs9djnAjAdr1eKq2bMJ7bLLlo+3bBnsuy+xZct4SmKjLyY+2zaeEmAK8IvEqemWpzQwox/uBbyZxK8ARG0/4HvgfCIakj7pfHxKDzN64RbBukqMT7M4GydqFYBjcRZ3JwBB4H2cxd27WzuzrJnVB36SlCrMR3FtjwOLJd3tbe8HfCRpN287jFMmLQMuKolngZmNBAbgMs73ltTXnLfBEMm3IC4xLnvxB8A+QCcimpdmiTYkaguBJ4houw/z4MfE8/Hx8fHZKpjR1ozXLriAwBtvbJoCz9ufc8+FsWMJhMOcYMZDZSPpdsdioNLNh9xcQIE3a9YsVq1aRZs2LvGamdGnVR/OaHkGwWrBRVukwAN2hYuvh79/p4BF2DTg/B1dgecxaNUq/uzbl3hiCyMlSXDeecT//ZdlsJ26bfkU5kigNXBfugUpRR7H3Y/uXl8T0Uxc4P+7iVqV4nY2s9pJ2SmnmdlPZhYzs50K9TvczOJmdk0xY8nMZiSNdWhSW28zm+5lsPzEzHYvYozjvD4/mFm3pPrzzOyW4i+FT3nFjBrAo8BL27QCL2oBotaVqD2Hyyw7EqiDi+O3CxH1IKLXtoYCz8yqmFnNpKozcXF4i21LwTzgcM/aDpxC8gdvnBDOFXgFJVfgnQ7MljQDFx8vb58EUIyPiM8GRLQOOAnnsvqx5766rbEIaJBuIUoDX4nn4+Pj41PmmFElHObVTp2wJ5/EAlvw9Dn0UHjxRYISl5txQulJuX2iAVol9M4rP7xSwAXm1ltvZeDAgQX65sRzeH3W67GceM7LW3rcJXDNg1ChIewH7AzURmqNVD4y9G0hEv/m5nL6Rx/BRRdJ8c10JIzH4bLL0OjRkJvLmeUiEYgPwE3ApxKb5sq+DSORDdwInGXGgUlNA3AvxDcUv7+WJ2WnbIWLs/SBpBV5fcysBs6F7v0SiHRo0nife/vvg4v/eYyk/YGXgKeK2H8QcJxX7vL23wVngbzdW3L4bDb3AGE28n1OCy6zbGuiNhj4FRf2oh3u+9uIiLoS0XNEtLWfI7sA48zsezObARxGflzd4tows+fN7ERv8wlgPjDdzL7HuQNf6rWdjnMTbgdM9ZT3TxQlkJnVAi7HudCCi99Z2xt3J2/bZ1NwmcmPxSlBxxAtoJzdFvgd2C3dQpQGvhLPx8fHx2drcGkwSOOsLILB4JYPduaZcNppJMJhHjPzn2UJJaJf/fZV6Pf/fgdcptO9996b3XcvaGDy8S8f81/2f3mr1ZuNmdUFbgYekLQYaRlJL9o+DokvEwl6DnsprmOOijF//qbt/+uvcMKxcZ57NpGQOG2btvrwKTFmtMPFDro33bKUASOBL4CH1mcUj+hPnHXejUQt5QuUmZ3rWc/1SKo+H5flFjPrZmbTcC/wdXAv7/2S9q9lZlme9d7MYuS7EqdQfN/M2uCUgcea2QNmFinUNxeojJfB0qt7GOgvlU3cMJ9tGzMOAi4BrpNYnm551hO1PYnabbhEG9/hlFlDgP2IqDURDSai39IlnqR5klpLaimphaSTJC3YWJvXfoGkd7y/syVdKGlfr//RknPblJQlySQdkKS8v7wYmf6W1FnSOm87R9KJ3rgnSdq0FPM+Dne/Pwrnnvw2UauUZomS8S3xfHx8fHx8SoIZoXCY6y68kODuKZ2WHJmZmQSDQapWrbq+nHnmmUX2HzCAQG4ujYHjS13o7Y8PgoHg6ld/eBWAKVOmMHHiRI455hiGDx/Ogw8+yGeffUb0h6jCgfAkDcifIG8mA4FVOIsWn2IQNm58onP2b58vYL994tx6KxtV5i1cCHfcAc2bxfhl3K+MSpw4WWLk1pHYZyvQH+cuNjbdgpQ2EgKuAzoBpyQ1/Q+X+fKuwvuYWWNctslvkuoOBmoBo924+hAXb+9dSXsAy3ExBfN4EZgqaW9J+3l1n3husw952SoBTgTW4e5dt+AyKhrQTlK0kGg3AkNxypDrzewE4E9J35b0eviUH8wI46xDPwWGp1kciFpdonYlUfsal1TmKtw95WBgTyK6jYhmpVVGnx2TiBYA3YCWwAgv8cW2QLmxxPMTW/j4+Pj4lClmHApMmD0b9tmn6H6psnFujEMPJf7ll7yeSFC0tm8HITAw8NIB9Q44a+rFU8PJ9ZmZmTRu3JjTzjqNOvfXia+Nrb1OA/To5h7HzJoDM4AL5bvObhyz/YEZ2WTwADfwWOha/orVpkObHNp0yGDffaFyZVi7FmbPhu8m5jDxuzB1gn9zeewR+nMfFclehrRzuk/FZ8sxYy/gR+BMiVfTLU9ZYcbLOEXevp6bLUTtDFw23nZENMX1swDwEU6x+SDwP0mjzOwFYLmkG71+9XDubV1w1nG/ApmS/s/MmgLjgEaSEl7/vGyXVYCngZWSLjOzuThlYH+cpcjjOGXeCZ6isIjzsWr/z955h0dRfX/4PZsChBp6lSYgvQoqUpWigKKA4FJUQECxwldBRRB7Q0XxBygizbEgRQEVRQEVBJEqAtKlKL23kGTP7487CZuQSsqScN/nyUNm7p07Z5dkM/OZcz4Hk7XXFiM4Ngb2A4NU9YpvsHQlIMJTwHCgpipbAxKEI3mBjpgGFTdjBOlZmM6yP+K12WOWywhHGgM/YKo/+uANsPBk/gZ9AuTIqC7MmcXloopaLBaLJfvSMDycyCpVCEl+aupo0YKgFStonB5riUglTNZFYeA4cK+qJliWJSJ9MJ5WHsxT+QdjSi+SGou3xiLME/PSqnrA3VcB80T9a1XtKCILgY9UdZo7PgwYBhSIKQERkU3AQJ7j0zX71tw7de1UwnOFx56ngbcBAG8ufZNzUec8mM5taeF1jJH05DSuc6VwEPDl4LxnGC8xJOo15tGO71e1Zs2f1/KFViJCQwmVSCrLFupEruB/LKBD1BxCif2xsaXK2YcnMObsMwIdSAbzNLAZU776prvvc+BRYBSOtHBv6AYBS1R1pYipvhWRPMBdwLV+69UHSmCa5+R39w0SkVzAckyGxVgRaYDJ0hsC7FLV0yLyf5gMKjDZdcMwWYF3uF8AvyTzel7GZBEWB25X1RYiMhIjpnyc0jfFkjURoSJGwHsh0wU8R0Ix4rEXk0kagukC2gP4Gq+eydR4LJaU4tUlONIF+ArTMfjJAEe0B3NtXgxTWptlsSKexWKxWDKaGnXr4nHvz5Jk9erVFClShLCwMBo3bsxLL71E+fLlE51fty5ERFBGhFyqpLXD2njgA1WdJCKdMSVU18afJCLlMUbI9TCZGF8B/YD3kxpL5JzrMCbpo9zt3sQtEVuIyTyJKd1pgbmJvQ5YJCIlgHLAEiDKI57DvWb3KpTYCwz2BC+OfDZyX2LjySEiN2HKl1up6iW2arjCUN2PyNeY7AlCiKIjX9GRr7ig0REB5EhiFSsSZANEKAHcAzyqSpbOAkgOVXaL8CbwrAiTVTmIVxVHBgFLgdvdrLhOQNN4h3cF1qrqpgvr6TygmBilbwvwBzBPVd8RkTuBhsDTqtpfRLoA80SkLBDtrrfaXWemiPymqv+54w8D7wHDRKQisFVVn/EPRkSuA/Kr6nciUgvbwTL7Y37OrgaCt1JxG2wdB2zjgiCdsTjiAW7EiMRdMKXlvwCPA1/i1cvHj89iSQqvzsORe4GpOHIQrwbShiVGuCtNFhfxrCeexWKxWDKaXPnzk2w7i86dO7NhwwYOHDjA0qVLERFuvvlmTp06legxedzbpwMUWcKF7mWpxm3U0IALYtkMoIxbpnVRqJhMuX1qPCnGQWw5b1JjCTEZc1MfU1bWFfD3ZYoR8RCRUKA88GHMPvffZap6TkdolE99pTClZgl+Rfmi2iT7ZiSCiARhxMZvVDXbeXllMIMwT4ATYhcmOysxUXQViYvAlqzFo8Axrpws1teAM5jutAav/obJyHsjZwjNMQ8htojITszDiQ8wWXwfJbJmMyAn8K/fvl2Y7OkW7vYeTKnsOkzpfyHgMb/5E0VkA/AX5jP2e6CkqnYFSotIzDqISIj7OgYDqOo6YLuIrHfPF3hvNEv6IvIwRijeDGwozZ5DrzLk5rLsfEiVjCudNp1la+PIa8BOYDHmd+I1TGfZpnh1vBXwrjxEZKeI/O123F0jIl39xnKIyBgR2SIif4pIgp9JInK93/F/ich4EcnhjpUTkUUictxtIJRULOPd8/zkdgtHDN+6D0IuxqvTMAL06zhy36W9C+lCzN+NLO+LZzPxLBaLxZLRnD12jCiS+ZtTo0aN2O9LlSrFxIkTyZ8/P0uXLqV169YJHnPypPk3D6fqArMR6YPqpWQtlQH+i+k4qKoqIruAq+Ci0pmrgH/8tne6+5IbS4jdwD4RaYR50v4HcNRvfDlQUkTKYAS834FFGBP35zA3kT/FTNYRGpHkq0wbvYAamJIeS2pQ3YHItR/B8o5QtJDJuvsXIwC8heoBjCgwBNPVzUN+oCiz2UJPVBNXsi1ZAhHyAw8Ar6VD1nCWQJVTIgwDxovwviob3aGhwKazkwjGqyVi5rsWA++o6uwklu0DTFLVYX77VmJ+n750t6MxYmkd1Ys/E1X1FvcmuJaqPiPmAVCC2XWuFUKzeMf3TfqVW7IsIu9gxPZYchKRdwivM4TXn0O4mfTuTOxIOczfVS9QHXMNMQ1w8Or6dD2XJSvTVVXXJLD/VcznV2X32rV4IsevBa5V1Uj3ofEM4EFMx+0TGJuB/CTQfCgGMR6/lVS1pogMx1SSjAH6AgtVdVui0Xv1HRwpAnyII4fxmo7DmYpXI3DkINmgQ60V8SwWi8WS0fy5ejWqCikpqY1BRBARkmrAtHo1XB36D7nOG3s44A1EPkP1rFkDD0b82u52TbwcmYi5MQ3HZKHEPiFU1fMisgSTcVceWKSq20SktIjkdPf3yegAXXP4l4APVW23u0tBIDdwVV/jp3XxxavqQmAhxg8sF+/hEIQHrxXwsgkDMJ9R/xfoQDKZSZiumW8A7QHTudCRd4DhODIFrybo+SgizwP/quo4dzs/cCdQ03+ee+N6D/Ch65EXAXRKSMBz1wkHBgIxT4e+A/qKyDpgh7ttyaaIUAro7vFwfUgI10ZGUkQVT47g6DM3BC/KVy/qd7ownWtZQbxLlmaY0tZP0xyEETO6YMplb8D4OH4B9Ad+w2satFgsSeFem/XBeCsrgKomaJmiGsc7MRTIhfvwQlWPAL+KSPNkThkJ5HBFwNyYh9AlMBUnCT9tj8swoAjwBY60xqs/p+CY9CZbdKi15bQWi8ViyWh+P3aMkI0bk570xRdfcOjQIQD2799P3759KVasGDfccEOixyz+MYpG5+P4kRcCbvHbfhiTSfeeSPzr8TjsBkqISDCY0gBMBt2uBObuAsr6bZfzm5fUWGLMBtoAtYEfExhfiMm4a4HJwgNYhrkBKIXJ1sto/gfkxWT/WS6N3sB/mA6XiaN6CtWDBDEVuBVHCmdGcJaMQ4ScmHLO8aocC2w0mYsq0ZhS1HYitPIbegWIwjQLcOdqc/8sPFUdHiPgudvHVTW3qm6/+Dy6UlUbqWotVb1WVRcnHpMeVdWmMc2BVPW8qt7mHnt7Qo2ILFkfESqHhDBHhN358vHSbbdx+9NPU+qjjwidPJngV14Pyle2ZzO+LvcojfidWiEbmc3t8ZfpeckBOJIHR7rjyDzM34I3MNn67YESePVBvLrECniWRJjilrF+JCIx3eorYhpfPS0if4jIL653cYK4ZbNrMU0mjpPKh0qq+jfmmnQVUAGTMfo28ISmJEPVNDN6AJgHzMGROqk5fzqxl2yQiWdFPIvFYrFkKKcJq1EuZA//937SiXDTpk2jatWqhIWFUa9ePSIjI1mwYAF58+ZNcP6ff8IvvwXjjWMhBz4kL4Ar2g1wdz8IjHUz8y7C7Q67CtPtDYzZ+h5VTagL3QzgNhEp7op9A4DPUjCWIO6N5OPAI6oJXrwvBG4GyvoZvS8GnsV0dUx/jx5HGuMEPY4jHhEpieko9oqq7k/3c10BuOLwfZgywJSWYs1y//3UNTm3ZF16Yh4wvBPgOAKCKguAucAoEdcf1avHMQLeQBypHMDwLNkcETwiPOXxsL5SJdp++imyfz/Bs2Yhw4fDvfdCz57w2GMwcSJs2h7K0qVQ7fZK3MFs7vB8xSFi+0WlrpGJIyE40g5HHEyzq0mY7KdeQFG82h2vzsNrhWNLkjRV1VqYpmmHuOCrGox5cLxBVRtgsp4/F5FiCS2iqjtVtTamy3YOTGZzqlDVYapaR1W7YOw/dgM7ReRjEZnh79eXIF6NxmSgrgS+w0nERy/jyBaZeJJUmZLFYrFYLGlC5Fpg+ds8JsNyvMFfm4IpVy7ty6rCXZ2j+fPrnWyIqoTHrZT1IdRi3d6/qOFgTM2n+h3mw3T57KfKRWKZiFTBXGAXwviD3Keqf7pjEzANK752t+/H+DqByY4bEJO9kdRYvPMtIgH/JxG5F+ioqh3d7WCMT948Ve3mF+sm4ClVfTX5dywVOJIXCdmCRhYD7pfuXI+5UKuibpmyJXWISHtgDsZLJiFh+GIcyQOcjNkC7rU3elkPV7TaBCxW5Yr1UhPhGmA9MECVCQA4EozxadqC13zeWSzpiQjBHg+TRPC+/DLy+OMQEpLy43/4AfreE0mOg3v4MaopZdizApMJvxyYgZvNGQfz0OUGjMfdXZhriiXAJ5jOsgfT/MIsVyxu+epmVc0rIoUx4nCoqka74ysw14ZJNiATkW5Ad1Xt4LevOea6tE4K4siHyahrAzyF6d48DfOZ3iDZ60VH8mEeUhcAbsSr/yV3znTBkWeA+/BqQo3rsgxWxLNYLBZLxiHyCeA9S04aBK8hvH4FFv0aQnAaHVmnTIF77oHvaEMbvo/dv5+iPxVn/x+YC+dyCRzqwwh7fdwyL0t8HHmL4LwPU+aO4OjtzukSD0SFHTxJL1W1XRgvERGZDeRT1ZYpPsiRupjsUDA/t98BnfFaITUrIUJnjNdVVVX+DnQ8gUSE9zA2AJVUXYHakbbAt0ALvLoocNFZsiMeD++HhDDg66/xtLnE3uz//QetmkcSuX0Xf0TVIS+xNqWHgM7ElG47UhMj3N2NyY76CyPcfYpXd6bphViuWFzfuxBVPeZuD8I86G3qbn+PEd6+EZHywAqgtqrujbfO1cA/bmOLUMy18FZVfcZvTnNSLuL9HzBLVX8Qkbcw4t00YCOmgcbxZF+cI0WBX4GzQDO85jVmKI7cC4wFwtzy3iyJLc+wWCwWS0ZSCyAX53Ci7mLFCujX10d0GuSzn36CAfdH8yjvxBHwgO+LcaCjKkOAapBgB0gPprRtcmxZlwXXR+VQ1VIyDuRR6r0ZTIMxaGjBsKc7cgz4OAWGx5YEcJ+atwc+SuWh/iWGHszT7h/cp9eWLIBb0j8EmH2lC3guI4GcmPfE4NXvgPnAW7Zs3JKeiHCbKg9OmXLpAh5AiRIw/6cQDoVdxWMy2n+oMPANz8srOLIOk/3fHWOhURuoiVdfSY2AJyPFIyOl5KVHa8mGFAMWisg6EfkT02Cll9/4AOAJd2w20D9GwBORCW73bYCWwGrXE281JoPvBXdemIjsAaYD1URkj4i8klhAItIYyKWqP7i73sc0C/oTmJoiAQ/AqwcwDTEKA1/jSK4UHZc29mD+DhXMhHNlGDYTz2KxWCwZh8iPmAsHAObSjs6embRqE8SHE4MoXjzlS/l88MEH8PDD+HL4zn59wFdoURhnK2NKDmei+vuF09Id85QxqWYWK4EeqmxKYs4VgYiUCfJw88NtPC++/Uj9orRZFox4YNeXdOnShcUb+ePgSZ5QtZkyqUVEhmJEi5KpKkd25FlMJ7dQv71RmOyOVrYk6/JHhJuABcB1qpnSgOayR4TBwItAFVW36Y8jNTBZHL3x6uQkDrdYUoQIoSEh7O7WjSJTpiR5HZBiZs2CO++EX2lMY5ZeGGjLOXoyGZN1d8mNKWSklA32BE/xqa+RT31PAO/rCNvkwnIFYP4G/IzJyrsTb4q9gy/lXFWBDUAdvLo2w86TwdgnXhaLxWLJMKLiZR+1Zx4LfC1Z98N+qlaK5N134Xgyz+tUYfFiaNyYqAcfRKOieP20L1fnMD0zGtWBqA71F/Bc7scIeFHAebiodDYaqApsFGGtCM+IkKX9MdKCqu7u3Yym+XP5StLoQyPgAd9vzEuVSuW1RXWpXCCMNBZBX3m4zU36ANMuwU+wElyULRoMVAd+w5Es313tCmAIsMgKeHEYA/wLvBy7x6vrgQ+Bl3Ekd4DismQvukZHU+Slly4IeEOHDqVmzZrky5ePEiVKcPfdd7N79+44B/322280adKEAgUKUKxYMQYPHkxkpLEi7dgRrq0TyVvyv7hnms8qvDoAr/5yKQKejBSRkdInSII2lC9Q/vpHGj6SwyOe0cGe4J9kpJRNfgWLJYtj/ga0xzRxm5DBWdl73H+zdHMLK+JZLBaLJUMQkXy5oNtsiJPyfSNL+CuqMr1Pvav/ezw6ulgxort2Rd9+GxYsgN9/hyVLjO/doEFQsSKRzZvDypWsVqWBKk+lwM9uOvAjMAV4BVNu0BaoARRQJRjIB9wE/AY8BmwRYaUIQ0Qon57vxWWPI0UbXu3pRqHrILw2ANHR0bz2+usMeX2W5AyVvC/dxV0BjjIr0hS4Glwj/9RRg4tFvBgqYkrGLZcpItTDNIR5LdCxXE6oEoHpdt1dhIZ+QyOAvMD/EjzQYkkFISHc37EjWqbMhX0iwqRJkzh06BAbN25EROjQIdbTn127dtGmTRu6d+/OoUOHWLp0Kd9++y1Dhgxxj4dHBocwm9s5SoELC2uC1h0pQkZKiWBP8DxBJjza6NGwtQPWhrzd9m2W9Vkm5QqUaxwkQRtkpNwnIyVdsgktlssWry4FOmFK0jPu76ZXT2IqeLL0g1BbTmuxWCyWdMftnjobCM8Dd500/jD9MMJENMbI/C1B1wDe4GDuFKFeZOSFK2OPh6iQEP6OiOAn4GNVVmdcvAQDLYCuwJ1AOMYc+HNgemzZV3bFCZry8dI83n/CHwx67gVjgzJu3DhUlQceeIB7b69Hr5prI1tW81XBqzsCHO3ljSOF8ORYhi/yO+nuKwBco6rXpnINwXRIzuPu8WEevO7HNEmYBfyMV21zlssUET4HqgB1VbEX2364XoE/Y7Klm8S+P44MBZ4FKuONa8pusaQUEYKCgjg1Zgw5BwxIfN6aNWuoW7cuR44cITw8nLFjxzJ69Gg2bbrgsDFhwgQee+wxDh8+TI4cOdi3z/XIozWtibEDYwOq1VMd50i5i49wPIc9Qb3u78XH73wMwOLFixkxYgQ+9bFl/xb27dpH0NCgb6I1uq+OyKQOnhZLoHCkO6ZBxhC8+noGnWMDMB2vjsiQ9TMBm4lnsVgslnRFRG4FfgdOAQ1Oqv6M6nuo1gRyAKGodkB1oSpHVXk/MpKbIiMpCBQFKgBX+XyEnTtHDVUeyUgBD0CVKFV+UKUvUBy4FeOZ8SzwjwhLRXhUJGun3yeII83B11PK9wwiKEfs7rVr1zJz5kzatm3LD3/sZ8jnIcErtgdNcgUmS6LI6yAVwffQjVW4i9Q3tADIxQUvvG3AePf7vnj1Eby60Ap4ly8iVAQ6A69ZAe9i3PdkENAYk3kRwzvAQYxnnsVyqVwdHU3OBg2SnvT9999TtmxZwsPDAVBV4ie3+Hw+Tp8+zebNmwEoXhxKFTnPaur6T6uGyI2pCVBGSkfg8y7Du3jeH/0+ZQtcqJpt1qwZixYt4ufFP/PqU6/SsXNHioQVaR0kQYtTcw6LJUvi1U8w1TGv4UjvDDrLXrJ4Jp71t7FYLBZLuuD6fw0FXsI8Ret/kQ+Y6vnEjndv7A66XwFDlfOYTMFvRciB6Zx1F6aL19si/IrJhvpSlX2BizSdkOBu94yN4o/t73P2PPz65UgWPA1jmwBNzJR7x8G9TZFrK3iux2QpHglgxJcvjjQGenPdx/i2fuib0O/nkAEToqaneh2vnsGRBkAkXt3krl0L6AHMTc+QLRnC/4B/MGX9lgRQZYUI04DXRZijSgRePedm4zk48h5eXRXoOC1ZknwABZPoPblgwQJGjhzJjBkzYve1adOGwYMHM2bMGPr168fOnTt55513ADhx4kTsvILhyomDcZuET4Dx94uswXjwRrpfiX9flBzyoOgdje6QiJURicY5efJkXn31Ve5dca/uO73vpxS/AxZLVsaro3GkCPAhjhzBq7PT+Qx7yOKeeFbEs1gsFkuaEZHcwERM9slg4B3NBn4Nrn/THGCOCLkwvnp3Aa8C74qwGFNyO0M1sOLjJaNRIyYP4MekpkyKLUny7cerVsCLh4j8AlT9X3uPvvFYi2jKdg3adbKYp9GzLSmYm99FZDfwlqp+neJFvfpnvD3TgLdxJB9ePZHQIZbAI0Ix4D5gsCoZ12Eve/A0sBl4GHjT3fc58CgwCkda4s36f0csmYhIni+5s0dnZhCRiDY2d+5cevTowbRp02jbtm3s/ooVKzJ37lyGDx/OiBEjKFGiBH379mXw4MEULlw4dl5EBIQS93lkhPH+zYPJoA5xvxL//gAhnp2e6GlrpwV3oUuCce7atYv9+/eTu1xuNn67MQT49NLeFIslS/IsUBj4DEfa4tVF6bj2XiB1NieXGbac1mKxWCxpQkTKAUswXaXaqOrb2UHAi48qZ1WZpcrdmLLfrsAh4C3gPxF+EKGvCIUCGmhq8ep+vDo9hV8/BzrcyxTvI234MSyUQlw7NggRyFueOtXKsn10UCn9hF6pEvASZjqm0cWd6RCvJeN4FONn+HGgA7ncUWU3Rrx7VoQiAK5oNwhoDtwWsOAsWQ+RgsAvbZj/iEd8rF9/8ZRPPvmE7t278/nnn3PHHXdcNH7TTTexZMkSDh8+zPr16wkKCqJMmTJUrlwZgDNnYNvuEKrwt/9hOhA6q+rtqnqLqt6sqs1U9XpVbaCqtVW1qqperaplVbWEqhaOLhfd9/vt3/tOnT+V4MuZOnUqPXv25NP1nxLiCTkI/GJeprwrIjtFREWkTty3QCqJyFIR2SwiK0QkQa8+ESknIotE5LiYDML4431EZIuIbBORD0UkJJF1FonIeREp6revgoj4RGS2u71QRHr4jQ8TkXMiktNv3yYRuSnBN8JyZWL+FgzEVB98jSN1kzkiNWT5TDwr4lksFoslaRwJTazdu4i0BP7A/D25VlUXZGpsAUKVM6pMV6ULRtDrgfEAHAPsE+FbEe4V8W9hZ8mu6CdI7bJypxRtIuSrFLt//Y5T3PhCcGibV2WJiBRJ00m8ehiYh/lZs1yGiJAPeBB4V5UzgY4ni/AacAbTndbg1d8wGXlv4EhoIsdZLPEZDtTJw2mqB29myZK4g2PGjOGhhx5i7ty5tGnTJsEFfv/9dyIiIjh//jxz5szhxRdf5I033kBcK9jff4don4dGLPc/7GNUNyW4YNLM9uGLXvVvwlXj06ZNo3v37kxdNzUy0hc5TUeozx36ErgRU7Ifn/HAB6paGfO7NSmRc58AhgHe+AMiUh5jH9IE0129GKYxWWKsA3r6bfcGVvptL8SI8jG0ANYA17nnKwGUwzwMtlguYLx/u2MazX2HI1en08p7gQI4kjud1st0rIhnsVgslsRxpA0QATznv1sMjwLfYy7QblDV7ZkfYOYT/ym4KqdU+UyVO6CcF4ruhgqNodFEWHNQhDki9HBv8GPWqCkiP7tPn9eLyEQRyeU33khE1rpP038SkQSfGIrIc24cd/jtExHZISLH3O0RIjLBb/xG95jmfvvGicgL6fpGXUlI8BjJUVAocsHbvESJEuzYsYNff5wjnRpq6crF+SwdzjQNaIkjWdqQORvTD2NV83+BDiSroMopjJgwQISqfkNDgauABwISmCVrIRKMEY8A6Bj5BZ9MjuSsnyvvww8/zKlTp7jlllvIkydP7Ncvv/wSO+fFF1+kWLFihIeH8/zzzzNhwgS6du0aOz7hAx81gzdQjp0xuz4jaYErUXSEHvdN8+37/MPPmTJlCjfffHPs2G+//Ubp0qXZ59nHruO74pTSqurPqrrn4rdAigINMH8nAGYAZUQuFj5U9Yiq/gqcTiC0zsDXqrrPraoYB9ydxEuZDNzjxuDBVCk4fuOxIp6IhALlgQ+5IOw1B5ap6rkkzmG5UvFqBNAR2A18jyMl0mHVmN+fLJuNZ0U8i8VisSSMI7mQkPHkLA54nsaRKgBuCcTHwNuY7Im7VDXhepDsSYJPwUUkHP75EA52UN2eD061g5v2Y0ogPwYOiDBLhLuhkQd4SFWvAWoDuYEh7joe4BPgMfdp+jeYro2JsRK/mxfgJkyZbwwJPQVfnsA+a5p9KThyGxrVQSrcF4TngtVwjhw5yJs3L5RoRfdunXwiNE2Hp77zMBkUSd1QWQKA2wRnEDBe1TZ+SSWTgL+AN2L3eHUn5nNvBI4k0aLAYgHM39C8MRsP8n+cOAETJlyYoKpERkZy6tSpOF9NmjSJnfP1119z7NgxTp8+zYoVK7j99ttjx7Ztg8+/gMej3sCvRXsuNA2dwrsz+Gy/s9p5fGcaDG3A0AVDGbpgKF+d/or6Q+rzxA9PEBoUugtT8ZAcZYD/VDXKfb0K7MKI4anhKuJe3+xMZo3dwD4RaYRpBPYHcNRvfDlQUkTKYLLvfgcWYa47wF5/WJLDqyeBWzCNYebjSHgaV9zr/ptlH4jaxhYWi8ViSYyheIJK0/o3WNxOObF5fFiodAdmAlWB21T1iuuUqWp84WLKa/yoCBxW1b/MvL++FZF8IMNAewJ3YJpiTIVlkcA8ET4HnQeyAqjhrlMfiFLVhe72eOBFEcmZyJPqX4HWIlJcVfdhBL2JwCvu+DLMBXRp9+l9c+B54En3dZTAXKD/loa35crECN1jCSsFEfvh8GHYMhaA4yfPkj+vSa5cuDHYU60UHkzG0VOXfD7TvXM6pqT2jeSmWzKVHhgT7rcDHUhWQ5VoEQYDP4jQSpUf3KFXMJ9nzwKPByxAy+XP+4QymJOcM0JecfbzmO8thj4xmDZtgnEt7S6ZqCjo0S2Sa2Qr3jhJZmnO5JnnEc+q935/L2dCg6rK+ejzE3XEZe8zPBHog+le/wF+74uqnheRJZhrj/LAIlXdJiKl3YfCzd1jLZbE8epBHGmNKbuegyOt8eql2lYcwnSMzrKZeFbEs1gsFsvFOFIZPE+vDR0YNKTzAM6fzhlc1hPVrOv1rJ/0MweAhnppHjDZmS1AIRG5QVWXishtmMyAcqqsAiYAE1wD9zsxJSefwalzUCoa2v+f2wE3zlNwVT0pIieAkkBiJcvTgHtEZDym49YwXBHPvYBeCrQQkS+A8qr6jVsWnBPzFPw3W8pySZzHE7y/xxv/FFm5Y2fQufPI4p++9S0cFnz6h+W+4BdnRefMk0s0RzD64f3BZwkKOZwO55wG9MWRWnh1XTqsZ0kjIniAJ4BPVLmozM2SPKosEGEuMEqEuqpE49XjODIceA9HxuLVzYGO05KJOJIPqAVE+X1FxtsuAvShAPfQHuHLC4c/z3B+iL6FO2+rysJfQihyia6kqvDIwz5Wr1JW+O4ih19n2mj4O+jSljVrj9AzmBLY9GA3UEJEglU1SsyTxqsw2XipYRfmoWQM5VKwxmyMB18E8CPQK974Qsy1RnkulMgvA7pghJTlWCzJ4dV/XJufX4AvcOQOvBp5Cev4cGQvNhPPYrFYLNkGRwQJHh+R62oef3clM2fOokCBAviW3c+pjZNyVykR1XroZ5qQofIVjaoeF5HOwCsikgeT2bYBc6PhN4+DmOy68SJ/lIHu30CLgjDuSWAgjF4Fr+UVIYcqESk8/WTgB0xzjS8AX7zxmJLafzClLGAuoK939y/EknqM6XK9aV0vHup8N3R+J0PO+gvmhqo7xlDcEnhuB6pgsm0tl84TwHrgPsxDD9x/H8YIBPb9vbJ4BdMoJjl2AEOowhSM11oXgBycZ1ZUB5pv+5Ubryuus+eGSNWqSa5zESdPwgP9o/nsM/hc76YmcVvetoDrfxFppao/JLJEpqGqB0RkFSYreBLQCdijqltTudQM4FcReQ7YDwyApD1dVfWciDwOnFFVXwKVCgvddaL8HgAvxmTZLlHV8/EPsFgSxKt/4Ug7YAGwGEfux2sqYFLJXrJwJp71xLNYLBZLfO5Go5ov9zwcnC9ffu69916aNWvGnD3NyJs3rwy9TYYEOsDMQkR6icga9+u+5Oar6kJVbaaq9YHBmOy5DYmsHQLXvgubl8G00hg/m2FQMxzy1gX2izBJZOOdQH7g3yTOuxcj0I3A+O/FJ+YpeAuMFw2YC+iYfdaPJqvgVR/GM7E7jqQlCcSSDoggmCYMX6myMdDxZGVU2QSMBV4Ucf3NvBqF+SztiCPNAxacJRCkxOJhKVAJr77Hi3ock+F+C0Z0WlaWXfMmR3V/+J/dQetq1/QxfDicOJH8otHR8OWXUK1SJN98cZp5eiudmOk/xbcBXvzFeDl+LyJfiUilRJZLV0RkvIjswWQRzRcRf5GuP9BfRDZjPpfu8ztuglshgIiEuWtMB6qJyB4Ricne3465llgCbIXYB49JoqozVfW7RIZXYEptf/fbtxiohL3+sKQW08H8VcyD6PU4shxH7k2l73DM71CWRPSyL7G3WCwWS6bhSAEkeCsV7i346faW8uSTT7JunUn2ueGGG1jqPEL4xgcVuA6v/p70YtkbEdkJdFTVNX77Sqjqf+73LwJVVbVTAscGA58Dx4C+6vfH2DS2CN4Bo+bBI/XhzYbwayTMnoLJsvtJ1WT3uU/KC6jqYyLSAKinqh+ISDlgjaoWcOeFYIym/8V4GW4SkcrAXIzQGK56CSUJlsDgSDXMzeNNeNXeAAUQkdhM1htUra9kWhGhMEY4GKPKsNgBR74DTPdNI2RbsjvmIcXfmBLM+Ikn0cCfwA149Wz8Q+Pzg7TKt45ah0cEvRiswSF0uctD67Ye6tSBsmXB4zGWpuvWwdKlMOWj8+zeF0p3cXhLH6MoB2OW2oppNjUB1T8BRKQVpglLJWA08KKqHk/7G2CxWBLFkUJcaOKm7tdZYCrwIV5dlczxbwLN8Wp6lbNnKjYTz2KxWCx+yEsE58lPndekYMGCNGrUiPDwcMLDw6lduzZbzteDIjf6kJAJOHJFWjIk8xT8eRHZ5O4ri59Zs4g8LyID3M2uGF+8BsBqN9PvfQBV9UFUN3j0RpBwGLEchr4B1AXmA/+JMF6EluCJrVlR1T9U9YOEYnYFul+BvDGlLKq6GePZ92tmCngiklNEZovIZhFZKyI/iMjVfuMfi8g69z1ZISI3JbHWVSIyR0T+FpENIvKw31h79/9ii4jMNE1GElxjkoioiNT125dXRE6JyBq/mIb5jfdwjynnt+87Eckcc26vbgBWY8qmLIFlCPCLFfDSB1UOAS8Ag0XidMT8H6aTd8+ABGYJBKWAjSQs4B0G2qVEwANoxYK8g3kreHd0SV6PeJQNn62lV49oqleHPHkgLAzKlIF27WDa63vptu8dNnIN07S7v4AH0BnVR2MEPAC3lLY2pjt1H2CziPQVsZnSFkuG4dXDwFp3SzCfE7kxv4MrceRPHGmbxAp7yMLltDYTz2KxWCwGR2oA6yhYXyjSlOOnImjebzrLJ98NQP0en/Dj2M4UDf0P9n4NMACvJltiYUk/RKiE8fvpijH8PgB8icnqW6JKdADDSxFuM42WwLeqqiLyENBZVZu74wVU9Zj7fV2MSXZhI27GWUeAP4BXVXW6u6+Yqu53PQm3Ac3crMMxwFlVfSKBeCZhOgP/pqoPu/v6YsqSQlS1joj0Anqp6s3u+EdAdWCcqk5yMyuPATVVdUe6vVlJ4cjjwEigWEpvZC3piwh1MGJqO1W+CXA42QYRcmBsCH5T9ROqHRkHdAAq49XTAQrPktE4EmNHcRfGky0EKMQFMe88cCNeXZHiNU02+l5MIwwAzpGDv6jOPorjw0NeTkbVYl1wQY4mtsqPuH8DEj+NFAKewzRvWAc8FtPR3mKxpDOOvIL5rAhJZManeNWbyLFdMNfOOS6pOUaAsSKexWKxWAyO5MGT4xu44Cnx4Y9R4WMXRBeNjEbubRZ0aHC7YDd1XcEX0QfvhVJSS+YiwjWYm5yuQDXgP4y/zReYm98sUXLmlgF/qarlEhhrDswkYRHvZuB5Vb0hgeO6AH1Uta27XQ34XlUv8j9xRbzNwP3ANaoaISJLMF1g+7siXhlgE6bs+LyI/A08CdyhqveKyPXApwm9hgzDkRKYJ8levPp5pp3XEosIDkYArq2KvaBOR0TohHlA0UjV9dFypBimC/govDoygOFZ0htHPEA7zA15M0yGzSjMTXZ7TLOFGO7Gq0k2WkgQYz8xIokZH2GEvuHxB47BjgJwA6r7UnYqqQ68DbTC/F1+UlV3pi5gi8WSJI60xDzojY/P3X8XXvNQOA4i9SjCs+SmI3tZQyRfY0rkd2dovOmIFfEsFovFYsniiFAdI+Z1BSpjxJ0v3K/fL2eBQUSmAkdU9VG/fa9iMg7DgU6qelH3XBF5BLgJ44FSBdgJDFbV7SIyGKisqv3duWHASSCHqkbFW2cSsAYjhP6IuXmcCDwNvKOqddx5WzEm4f9gbixbAmtVtbKIPA1craq90+EtSTmOzAfO49UOmXpeCyJUwAhK96gyLdDxZDfchiE/Y8qkmsR+hjkyFNPRsjJe3Ru4CC3pgiO5gF7A45jP8W8x4t1PeDXm/1wwn8s1gRfx6rOXdC6TjfcppmtrfH4G2qN6EiPA3QdUBU4MhPIfQoFIk2md4owdN1u8PfAWpnHVG5jM8YSzSB1pjifHm/giHsGrS1Pz0iyWKxJHcgDHgRzxRiYBffHqxdUpIoOANzF/W/w5CXREs4bPsPXEs1gslkQQkXdFZKfrfVUn3tj3fr5dv8Tz00r0uHhrlBORRSJyPMZ7K954TXd8o/t1ZyLrLBKR8yJS1G9fBRHxichsd3uhiPTwGx8mIufc0saYfZuS8h+zXL6o8pcqw4FrgDoYY9+OwDJguwiviVDfvTG+bIgRv4Cn/Per6lBVrYjJNHxdREITODwYI6S9oKoxfoFfpCGciRgvlT4k3uG3ufu1WFXPAgdEpLy77yKhMROYBrTFkSLJzrSkN4MxYrnNgswAXNFuENCYuKLLO5humS8GICxLeuFIURwZCewC3sV4ttbAq7fi1R9jBTzA/b4b0JukM+mSxghwXahJL24E8rAa8zejI9AS1ZPuvL9Q/R+q7VC9+//AG2maawxM3elUVXUOJlt3GPAIxi+vh4jEvQd3JAeekI/wRdbHEzIBRxIrD7RYLDF4NQL4BdPUIhpTav8nJqu3AgAiFRBphEhJRK7FPCRI6Fo4LzAdSVWH24BhRTyLxWJJnC+BGzGZN/G5S1VruVk6b2Ge+qTkOH9OYC7sLvJrcDOHvgKGqWpVzEXgL0mstY64ht+9gZV+2zECRAwtMNlH17nnKwGUA5YkE7PlMkYVVWWtKjHiWAPMTUpXjH/cFhFeFqF2Zgl6ItLLFbvXiMh9fvv/h2nucYuqnknoWFVdgLmwqpnA8C5gtar+5W5PBeqJybbYhWksEkM54L/4WXjxzrUM06m3G5BQqdZCzO9NC2CRu28x0BojNATi6e0szEXrXQE49xWLCEUxn7FvqpLlvHSyCqqswAjVr7s+eeDVc8BQ4B4cqRfA8CyXgiPVcGQC5jN6IDAWuAqv9sUb+1l+MV7dgFc/TnNnYlVlKME8QATjuR7Vrqh+hSaQsXPhkO2Y67wRIlL4Ek4ZoapvYrLkvwGmAEtFpJHftCfAU5YW34FqFeDRhNayWCwX8R1GlNsPNMRcj+1kNT8TIqsw/sjLgN2Y+6pYjlKAzVTibypzkMIABYHumRn8pWJFPIvFYkkEVf1ZVfckMnbMbzM/XChXTOq4eGscUdVfgYRKK7zAMnccVY1W1YMJzIthMnAPgPuEtyvg+I3HinhuVlN54EMuCHvN3fOdSy5uS9bAFfRWqjIE8/99HeYCpidGwN0owvNuKW4GxqFTVLWO+/UxgJhyhruBVv6/SyISEq9TbUOgKLA9gaW/BUqLSEx3sVuBjW6503cYQe8ad+xBEhbm4vMo8D+NyciIy0LMe9gMkzUCRsQbDOxVDUBpn1dPYYQ826U2c3kY87k9MdCBXAE8DZTAvOcxfA4sB0a5pZaWyxlHBEduwpFvgL+ApsBjGPFuOF7dn8kRNQOWuVk8KeVl4Bzw/KWeVFX3q+r9QH3Mw5dlIrI/dw5Z03gkz6+gT5AWv5kHZtX23DiS18JyyFLXW89isSTORGAAUBuvrsWrJ3mSt3mL4kRR12+eJ5LgEl9xG13kS8qG/ktBjlKFzVzD3xTlICVDDlAvaM1QEbqLkCtArydFBAc6AIvFYsmqiMgUTFYOGAEhPakGRIjIXKA0JtNucBJC3m5gn/tkNxyTdeXfYm05UNI16C8P/I7JJpqI6aTWgsBkElkyAbc0bTmwXIQnMGJUV6Av8KwIGzA3xl+osikjYxGR0phyhu3AQmMbRISqNsJ0GJssIvmBKIxQ0llVj7rHPg/8q6rjVPW0iAwA5rneQ8cxWXSo6km3w+xst3PselyROylUNSGD5Jix/0RkF3BMVU+5u5difp8+SvUbkX5MA77FkUp4dUsA47giECEvJoNotGqCD2As6Ygqu0V4E/M5NVmVg3hVcWQQ5vfvNuJlV1guExwJxfydGYSxefgZuB2Ym+aMukuP6WrMQ9LvUnOY+zflaWCCiIxV1T8vNQRVXS0izXDLg7/6X1CNYsVLa//Rq2RIrq85n6cGv75+OHrNxl2n6z7le5+4VRQWi8Ufrx4Fxsdum+vBOM1pFHDw8mTwW/wbVYwWN0bRr00wtWtDabfd2YEDsHZtERYvLFRu7XymejyMFWEY8L4qiWbqBgrb2MJisViSQUR2Ah1VE+7EKiL3AF1V9dbUHOc3rzl+BvruvneBOzBiy7+Yp8CVVLVzAscvwvgE5cR4hIUDHwCl3PN3dOf9gCnjKA8cUNVxIrINqI4RCfuoalIlu5ZshggeTOl3V6AzJuttHaYE93NVtgYwPEtKcCQY01FxLF59LsDRZHtEGAS8AFylyuFAx3MlIEIeTBORGao8FDvgyGdAPYyX2vkAhWeJjyPhQD+MB1wxTHfWUXj1jwDHVQRYhXkwugmvVk3N4W6VwwrMA9JWmg430Uc+EG/BPHyy7WqHewf/Hx06dCBfvnwMuL0CLGxDzns4FhFFMVX7822xpAjjUb4qZvMwBeke9Bnzo1vR734fQ4Z6qFAh6SX++w9Gj4Y330Q9HtZERnKHarIWSZmKLae1WCyWNKKqk4EWIlIoHZfdBSxU1b3uheI0XP+6JJgNtAFqk3DL9YQ8vZZhuoCWwmRqWa4gVPGp8rMqAzF+cDdhfiYex/jnrRRhiAjlAxqoJXG8GoXpuNjDlhZmLCKEYrKKPrQCXuahyimMf+wAEfyFl6HAVcADAQnMEhdHyuPIaExlwDMYC4MKePXuy0DAy4Xxoyvh7qmEI3lSs4Sq+jBlwDdhMkDTGlO+gnlD3o4s01MHDp/MsGHDqF27NvPnz8dX7GaWn7rJdz6aArfWoVTyi1ksFpfYMtj/KM6NwcvYUKQ5S5bA+A+SF/AASpSAV1+FtWuRq6+mZnAwf4hwTfJHZh5WxLNYLJZUIiIFRKSk33ZH4DBwJB1P8wVwrYjkc7dvBdYmdYDrZ/c48Ih7sRmfhcDNQFlVjSmZXAw8CyyxT3qvbFSJVuUnVfpjbnTaAKuBIZgOt8tFGCxCmYAGakmIqUBFoFFyEy1pwovJLHor0IFcgUzC+Km9EbvHqzsxWegjcKRgIIKyAI5chyPTga2YCoIRQBm8Ohiv7gpscIAjQZgHHXWAIHdvENAktUu51QpfAKNEJEcaI3s+WnIW7PXeKbn99ttp06YNbdq0oV69erRo0YKJy4t7qpcWZj3OgDSex2K5klgHHD9PCB2CvyW6dFl++yOEG25I/ULVq8NvvxFcty4FQkJYIEKB9A72UrEinsVisSSCiIwXkT2Y0ov5IhJTWpgf47X1p4isBR4C2seUViRxHCIyQURuc78Pc+dNB6qJyB4ReQVAVXdhSmiXisg6TJlsshdyqjpTVRPzelmBKbX93W/fYqAS1g/P4ocqkap8r0pfoDjQDtiIEXx3ibBUhEdFKJnkQpbMYhWwCdvgIsNwS8+HAI4qgRcmrjBcT6LBQDsRWvkNvYLxz3w2IIFdqTgShCN34sgS4DdMB/DuQEW8OgqvHg9ofHEZBXQgrhf8eUxG3aXwJKZ64REAGSkeGSltZKSk3Gvekbo+5ZH7pxYJrl0xDw90KAV7voY9X/PsfbVZ/Mlg+neuT73qVxEaLINxbIMLiyVFGM/id0cwkg2emsz5LpRSachlzZ8f5s4lOG9eink8jE23ONOI9cSzWCwWi8WSIkTIAbTGeOjdDuTGdGr9HONXtS+A4V3ZOPIMJhO3pPUHS39EuB1jWVBDlb8CHM4ViwhzgLJA3VizcUcGAO8B1fHq5gCGl/1xJDdwH6astAIwByOS/YL3MrypdOQx4O1ERv/CqzUuZVkReQF4lPY0D24YPCrKF9U8xBOyMtIX2V1H6N8piOu6uav4rfO7cJ3bj71gbpjUH257CzwCxfLDmHugUF4UaIBXVyW5psViASC/HC97SvLuePc9jwwcmD5rzpkDt5ki+utUA28/ZEU8i8VisVgsqUaEXEBbjKDXAdNYZTGm1GiGKol1UrZkBI6Ux3T8vQ2vzgl0ONkJEQRYAhxWpUOg47mScX2J1gMDVJkAxDR3WQtsxqt3BDC87IsjJTFVBwMwnlOTgLcva9HUxLwHSMortDBeTbW/pYRJHqqxO6hdUJ5yhcrxUsuXgl/+9eWovw785YvW6CeAMToimQ68TirKcb0akWgsIvcBE4E7VHW2u285ELN+MKaBWW1VXRfv2JoYO4YYCgD5VLWgO14JmAwUxnSAv1dVL3qIISL3Ah8Dg1T1bb/9i4GmmCqQ24GeqnqzO1Ya4594n6pOcvcNBaqras/k3hKLJTFEeL1IER7fs4fg0FCzb+TIkUyZMoVDhw4REhJC/fr1ee2116hTpw4AZ8+epVevXqxZs4Zt27bx9NNP8+KLL8auqQq1axO5YQOzo6K4KwAvKw62nNZisVgsFkuqUeWsKrNU6QYUAbphvCHfAv4T4XsR+oqQng1fLInh1R2YrEhbUpv+3AhcD7wW6ECudFTZBIwFXhQhLxDT3GUw0BFHmgcsuOyII7VwZBKwE+iDyWorg1cfuKwFPMN/GA/FlUCk3/5ov+9bpHZRGSnFg4YGfUoHCjx0/UPBfz7wZ3DXGl354/4/gp9p8kyoRzzvhHhCFspIKZvkQl6NSPFXYrGIlAPuxzSkikVVG6lqHVWtAzwHrI8v4Lnz/oyZ586dC3ziN2U88IGqVsZ8/k1K4hWtBu7xi+1q/JoMYHyZrxcRV1ahBaahWnO/OS2w9i6WNBIaSq/+/S8IeADdunXjjz/+4Pjx4/z777+0bt2aNm3aEB1tPg5EhBtuuIEPPviAhg0bXrSmCDzyCCE+H3e4VSkBxYp4FovFYrFY0oQqZ1SZrkoXoCjQEzgNjAH2ifCtCPdeTqbA2ZSpwG04kj/QgWQzhgJLVPk10IFYABiJyfwdErvHq98B84G3cMTe36QFRwRH2uDI95gMx2sxHYDL4tUX8OqhwAaYQryqeHUIXm0A5AE2Y4QkByNK+oBzqVlSRkqXYE/wpqBJQe3yjc5HgWUFyBVidCpflI9N4zZRc25N8UzwNJE/5W8ZKX1kZMZ0DRcRDzABeBhIVOjDiK8fpWC9nBhfw4/c7aJAA2CaO2UGUMYV5xJiF3BQRK51t3tjsvOAWK/nfUCMQtIcIwxe754vBGiM+T+yWC4JEUqeP0+xpk3j7q9SpQrh4eEAqCpBQUEcOHCAI0dMT8KcOXPy+OOP06JFC3LmzJng2k2agCrBQO2MfA0pIeUGnFcwK1euFIyRfThJp2RbLn98wL769eun6o+2xWKxWFKGKqcwnQA/FSEfcBum5PYD4AMR5mM89L5W5UTgIs2WTMd4g92J382T5dIRoSamO/htgY7FYlDlkAgvYLLxPvBrNPI/jOjUE1MCaEkNpryzOzAIU375I+Znfz7eZEpDL39yY5p4PYVXZwLgSBhePZPSBWSkhAOfta7YWt78/k1Z/utydu7cGTv+7bffkitXLtb8vob9h/dLxaoVc5yueXoCRpTanp4vxmUQsERVV0oiOqGIlAGaYX4nkuNOYLuqrnG3ywD/qWoUgKqqiOwCrsJ0Ik6Ij4HeIrIKuAsjAv6f3/hCTLbdr5gM50eBQSJSHigBHFDVnSmI1WJJjOoAdetePDBv3jy6d+/O8ePHEREef/xxihQpkuKFK1WCHDnwRURQk7hNAjMdK+Ilw8qVK4uJyHMej6eVSCq6DlkuV9Tn8x1ZuXLl/fXr17cGsRaLxZKBuCLdNGCaSKwnTlfMhX60CN9iBL25rvhnSQtePYoj8zA3bFbESx+eBDYA8wIdiCUOY4AHMV3cTQm5V9fjyIfAyzjyJV49HcD4sg6OFMJk2j0EFMI8hOmBN1bMyQ40xiRi/BK7JxUCHoCO0KMhL4QsCpKgZlWvrhq0/Ne43vaVK1fm3Llz+Hw+Is9GkiNPDiKDItdHDItIdwFPRGoAnTB+c0lxLzBXNUXZkynK2EuGmZjfyTuA5ap6LJ7AuBAj8k0GjqjqKdc3rzlGxLNZeJa0khMgT56LB9q1a8exY8c4cuQIkydPpnTp0qla2OOBXLmIjoiIUyYeEKwolQQrV64M8ng8s8LCwsoXK1bsRGho6FkRsZ1AsjCqKgcPHix+5MiRD1euXNnYZuRZLBZL5qDKUYyfziTXJ+8OzJP6acB5EeZhmmLMUyVVN1eWOEwDvsSRMnh1d6CDycqIUA64G+itSlbPRMpWqBIhwhBgugjvqsZmRYwAvJisvJEBCzAr4EglTEfrezHlmOOB9/Dq3kCGlUE0BTbg1TQ1XIryRU37duu3zY+dO3bRWMWKFYmIiKBKlSocO3aMM23PRJ+PPj8lLeeLQUR6YTLvAEZjhIpywBZXJCsOfCAiJVR1rHuMYDoJP5CC9csD12GEwRh2AyVEJFhVo9z1roLYzNeLUNVzIvItxreyWwJTFgIfYppiLXb3LcY8eCpB0p57FktKOAtw8iQkUhVLwYIFefTRRwkPD6dy5crUrp2y6lifD86eJQgCf41qRbykKe3xeEqULl36cO7cua3Yk00oUqTIkWPHjhX0+XzFMZ4YFovFYslEVDmM8fKZIEIRzI3DXZisvLMizHG//1Y1dZ5FFuZhugjeDbwe4FiyOoOAfzGZSUCsb9RnQDXMzcIB4AFV3eqOLwLKYv4PACb7d2v0W6c88CUQhLke3wj0U9Wj7vgQjEn8eYxv1yOqelH5joj0xghWEUAfVV3l7n8e2KSqTtregsuaGZiuwW+J0EQVxav7ceRl4FkcmZBNBalLxxHBlDEOxpSI78R4Pk7Eq9k5G7op8HM6rDPLp74PZm6c6fHEs5afNGkSxYoVY+bMmXyy/BN6dugZRAdmp8M5UdUpQHxBcGzMN+7nzjsx3WldWmI+W35IwSl6A7NU9ZjfOQ+4ZbE9MOJaJ2BPzGddErwFbCOBBhWq+q+I7MZ8Zj3i7l6Ksdsogl9jDIsl1YhU2MlVr5TjH1avhtatE5/q8/mIjIxky5YtKRbxNm+GiAg8wJ/pE/ClY41fkyYIEI/HY5++ZiPcbErB/vxbLBZLwFHloCrjVGkJlMSUL5bE3KAfEGGaCB0uh25gWQLTyfALbJfaNCFCYaAv8JZqnM6WYG44q6hqbeArjCDtz+N+HR8vEvBc/gVudOfUcLefM+eWOphS0YZux8gx7ldCPItpPPAo8LR7fHWgVjYX8FBFMUJrY+JmEL0DHAReDEBYlyeOBONIV0w30J+BYpgHJ5Xw6rvZWsBzJA/Gmy3NIp6O0GOCfPvJn59EJzRepEgRRISvd36tnCeCj9mX1nOmgT7Ax6px/QxFZIAr8sdsezDZmAmV0vYH+ovIZozYe19yJ1XVLar6pqomVr22ECiP8cVDVU9jGl7sUdV/k31VFktCiOQDFpVlV4OrQv5l8eK4w6NHj2b//v0AHDx4kAcffJDQ0FAaN24cOyciIiK2JD46Oppz585x/vz52PHFi8HjIQq4qNNzZmNFDIvFYrFYLJcFquxT5X1VmmJMtZ8FKgBfA/tFmCTCLSKEBjTQy59pQE0cCXgHtSzMw5gMuDgCnaqeU9Vv/G5Ql2HK2lKFqkao6lkAEQnCGO/HrKlAiLsPoACwJ5GlojGldbmB8+4N+dsYUS/b45bRfgK8Hiv0e/UcRnC4B0fqBTC8wONIPhx5HNOIwMGUQt6AV6/Hq1/i1QTFqGzG9ZjEjPTIxCNaoz/56a2fgl557RWmTJnCzTffDEDPnj1Zv349jZs05svBXwplmaOqJ9PjnMmhqs3jZeGhql5VHZHA3HGqOtxv26eqZVT1Ij86Vf1bVa9X1cqq2kBVE8xAUtVJqtoxkTGJl+E3QFVDVC8Ix+45rknBS7VYEqMv5roRb+RkPhoXSYRfz+YffviBWrVqkTt3bmrVqsW+fftYsGABJUqUiJ1TpUoVcuXKxS+//MKrr75Krly5aO2m86nCu+8SCUxXTbIbdKZgy2ktFovFYrFcdqiyF+P9M1qEq4AumKYY3wBHRZiJyTj7SZWowEV6WbIE+AeTjbc2wLFkOUTIjTH5fy8FDVcexWTj+fOqiLyAaYjxlKomaGwvIqGYDndlMU/2bwNQ1bUi8jawQ0SOYEplEzOwfxJTLncSkzXzIDBPVf9JJu7sxNPA35j/s1Huvs8x/zejcKQl3kSzgrInjpTBlCv2wwhYE4HReHVbcoeKSA7M+9gGI2SvVdUe8ebc5655R3zxyB1vA7zmt6sosE9V68WbNxIYDtT164rqP34rF2wBBqvqfHd/b6C4qr6c3OvB/O5sS8fS6rlBdwady1MsT2iR3EUUoO20tmakE0SdixL2IsDAdDqfxWJJnltivnmIMbx59AnGjoXHHjP75s6dm+wC/t2m4zNrFmzYQAimXDzgWBHPYrFYLBbLZY0quzA3laNEKI8pA7sLUy50SIQZGEFvsSpXQmZJ0njVhyOfAPfiyNArJNsmPekL5ALeS2qSiDwNXA3c5Le7p6rudk3gBwJzMf55F6Gq54E6rpj3HkaEe931y7sTuNr1kHoII0rdmMAaMzEdIRGRMpgO0G1F5GWgIrBVVZ9J8SvPgqiyS4RRwLMiTFblEF5VHBmE8du6jYuF1uyJyTwcjPl8PAi8AozHa7wWU8irmGzQyqqqIlLcf1BEygH3Y7JQE8QV2+b7HTOXeJ1HRaQhphQ8KcH5eeBW9/uZwHwRKYZphNAqha8nvfzwANARelpGyjOr9q2qmcS0HTpCD6TXOS0WS7LElo2X4l+e0pd5asgztGoVRPXqaVv4v/+gd2+iPB6c6Gj+SGug6YEtp81EfD4fjz/+eMmiRYvWypUrV90GDRpUWbFiRWzflLFjxxYMCwur6/8VHBxcv0qVKhdd/NWrV++aCRMmhAMsX748V4MGDarkypWrbtGiRWsNGjSopM93wf7gwQcfLFW5cuVqefLkqVukSJFaHTp0KL9169aQxOI8e/aseL3eq8qVK1cjd+7cdYsVK1bL6/VedfDgwSD/ecmdNz4//fRT7pYtW15duHDh2nny5KlbuXLlaqNHjy4Uf94rr7xSpFSpUjVz5cpVt1q1alW//fbbBJpEWywWi+VKRJUdqrymSn2gMsb/6nrgR2CvCO+L0FTkir/GmYbxFmwe4DiyFCKEYESQj1Q5lPg8+R9GaLtFVWM71amajsBqGANUEJGLrnX8ccW8jzHCBBh/tz/9/KE+Bhq7Yl9SjMZ4xDUHSqpqV6C0iLRI5rjswGuYrLEL5YNe/Q0jfr6Bk+x7l3VxxIMj7XFkIbASqIF5wFEOr76aGgFPRHK7xz4TUzKuqvv8xj2YEvOHIWUlZSJSEiN0T/XbF4bxeeyfzOGRQBhuubi7721giKomn4HtSE6gEeko4gHoCH1LR+h9SXw9LyKVRGSpiGwWkRWuV2WCiEgfEdkiIttE5EMRCUnJWLw1FonIeREp6revgoj4RGS2u71QRHr4jQ8TkXNuw56YfZtE5CYslqyCI6E0Jc7n3LO8QB3fKjq0jeSfNOSlHzkCt95K1Jkz/Ovz8XBaQ00vrvQL3ExlxIgRxT799NPCc+fO3XLw4ME1jRo1OtWuXbvKx48f9wA88MADR86cObM65uvo0aNrChQoENW1a9fD/uvs3LkzZOPGjbm6dOly/OjRo5727dtXatSo0amDBw+umTt37pZPPvmk8AsvvOD/Ac5HH32089ChQ2s2btz4F0D79u0rJRZnZGSkhIeHR8+YMWPr8ePHV//+++8bd+zYkfPuu+8uFzMnJeeNz8GDB4M7dux4dO3atX+dOHFi9ahRo3Y/88wzV02dOrVAzJyJEyeGv/zyy6U++OCDHUePHl3Ts2fPQ506daqUlOhosVgslisTVbao8pIqtYGqwP9hBIzFwB4RRotwwxUp6Hl1I+aG3ja4SB13Y8TPUYlNEJFB7rxW/l5PIhLsZgnFbHcC9qvq4QTWKOsKGTHCSBcumGVvx4h2MQ8x2wObXbEvsZi6Ahtdzyp/fz0fkO0fhqpyEhgGPCCCv7fWUOAq4IGABJaROJILR/phyrbnYETMVkAdvDoFb+I/L0lQETgCPC0if4jIL/EEnUHAElVdmYo17wW+UY2TmfY6MDZG9E6CJ4HJmO6o/xOR9pjfqYs6NSdCQyAH6SzipZDxwAeqWhkjMk9KaJKbefsC0AST2VsMUwad5FgirOPCwwAwXWf9/68WEvfBTgtgDXCde74SGI/PJcm9OIsl4DiSE0fuBjZyL3eQnyMxQyFE8VVUO3Lv28oN10ay8CLHx+RZvRoaNSLqr784FBnJTaqcSMfo08SVd1EbQCZOnFh04MCB+xo2bHg2T548+s477+yNjIyUadOmFUho/uTJkwucPn3aM3DgwDhPgj/99NMCN9xww4n8+fP7pk2bFh4dHS3vvPPO3jx58mjDhg3PPvTQQ/smTJgQK6a9//77e5s0aXImZ86cWrhw4einnnpq399//50rfmZdDPny5fO9//77e+vXr38uODiYsmXLRj744IMHli9fnjdmTkrOG5+uXbsef+SRRw6XKlUqyuPx0KFDh5PXXXfdiZ9++il23fHjxxe56667Drdr1+5Uzpw59amnnjpYtmzZiPHjxxdOxVttsVgslisMVTap8rwq1TGZKBOAtpibkZ0ijBKhkQgS0EAzl2lAZxwjFlmSxhV7nwQ+U2VnwnOkNEbgKwAsFJE1IrLcHc4BzBORP0VkLcaf7ja/Y58XkQHuZi1gmYisw9x4F8F4mAHMwjRz+cNd51HAm3jcEo4p3X3B3fUdUMhdu6C7fSXwMUbQeiN2j1d3YrJ1R+BIwYBEld44UhRHRmKaVLyH+YyrgVdvwasL0uj/F4zxaNygqg0wP5Ofi0gxEamByRJNcddft6y8N36dT0WkFVBWVT9O7nhV/UVVG6lqI+BPYAgwTEQeE5HpIjImmQzVpsBeYEdKY04P3Gy4BpjPYDDd1suIyNUJTO8MfK2q+9zsx3GYhwTJjSXEZOAeNwYPxkfWv0t1rIjnvm/lgQ+5IOw1B5ap6rmUvlaLJcNwZDCOfIIj83BkKY78hSO7ceQYjkQBZzGNjZaQgyocpxrmb6cPoCgH+TnqhnOlj6zd1bIl9OqFbtqU/Gn/+cd46dWvj/7zDysjI7lWla0Z90JTjxXxMonDhw8H/fvvv6HXX3/96Zh9ISEhVKtW7czq1asTvLj+4IMPirZr1+5osWLF4njZfP311+F33HHHMYA1a9aEVatW7UxIyIVEteuuu+70nj17chw5ciTB/99vvvkmX8mSJc8XKVIkxR458+fPz1e1atWzMdspOe+4ceMK5s2bt05iax45csSzdu3a3HXr1o0tQ9m4cWNYw4YNT/vPq1Onzum1a9faGxCLxWKxpAhV/lJlOHANUAdzI9UR4+G0XYTXRKh/BQh6n2FK0W5LbqIFMN5b1blgpH8RqrrH7bZYUVXruF+N3LHTbgfHmqpaW1VvUtW1fscOV9Vx7vdzVLWW+1VDVXvFZOy5pbhPqeo17jo3JJX5pKpHVbVpzI23qp5X1dvctW9X1cj0eXsub1w/zEFAexFu9ht6BYjCdLvOujhSFUc+xIh3AzGCTlm82gev/pVOZ9mFuQH+BEBVV2MEsJqYbLBywBYR2YnJ3vpARJLKcmyG6Z48329fS6CeiOx01ykNfCMiHZKJ7WXgJaA4cLuqdgEOA92TOKYpsDgAjU3KAP/FlPy6AtwuTFZofK4iri/gTr95SY0lxG5gn4g0AloDf0CcMsPlQEnXP/M6TGOdRZiMPNx/f0rylVksmYEphX8R8wDrVoxtSjXM50V+TMMegCF4tRde3YnqflRvx3xOdQY6hnOs5O/RDcoBnT/7jH+rVoXrriPq2WdhxgxYtgyWL4evv4YXXoCbbiK6fHl4/32OqjIgMpIbVBPtDh8wbGOLTOLo0aMegIIFC8YRzgoUKBB98uTJizLiVqxYkXPlypV5Ro0aFSfN/L///gtes2ZN7jlz5mwDOHnypCd//vxx1ixUqFC0e86gggULxjGpmz17dt5Ro0aVnDp1arLdqWIYM2ZMoVmzZhVasGBBrHadkvMOGDDgyIABA47EXw/g3Llz0rFjx4oVKlQ498ADD8SWmZw+fTooPDw8jsdFgQIFov75558cKY3XYrFYLBYAVRTTnXWtCM8A9TCZCV0xGVfbRPgC45u1zp2fffDqPhz5AVNS+1mgw8kCDAW+UY0ta7VkMVRZIMI8TBOceqpE49XjODIceA9HxuLVzYGOM8U4IhhhZTDmRnYL8DgwGe8FL8b0QlUPiciPmM6037jlnOUxpdoLgLExc0VkEfBOQt1p/egDTFK90FxHVZ8CnvJbZyfQMaHutH5zrgPyq+p3IlKLlJSLOxIC3IB5764kJmLe93DgA6BUzICqnheRJZiMu/LAIlXdJiKlXV+85u6xFktg8eo5HHkeI+QllJgUDTh49Y2LRkyZfqyG4n5YzBBhNnDz77/Tc80aGkdEUBYuPMzNkYO9kZEsV8WJimKOKpdiSZAp2Ey8TCI8PNwHcOTIkTiC3bFjx4Ly5s17UUbc6NGji1avXv1Ms2bN4vyB/uyzzwrUr1//VOHChaMB8ubN6zt+/HicNQ8fPhzknjPOup9++mn+nj17Vhw/fvyOzp07p6im+8033yw8bNiwMrNmzdp8/fXXx2bipea88Tl58qSnVatWV58/f16+//77rf7ZfLlz544+evRoHHH52LFjwXny5LGd9SwWi8VyyaiiqqxU5UnMzct1mI6VPTGeQBtFeF6ENPYxu+yYCrTFkSKBDuRyRoTGQGOMd5Ula/MEJqPyXr99E4DNZJX/X0dCcKQHsArTtCcvJpv4Grw6NiMEPD8GAE+IyJ/AbKC/qu5N7qB45eKISH5M85eJaQnGbeTwGq4Yp6rrgO0ish4jcE5L5NC6GH/IQPjh7QZKiEgwxJYVX4XJxovPLkwJcwzl/OYlNZYYszEibG3Mz058FmLetxaYLDwwWepdMILf8gSOsVgCwSjMz3v8B6zRwH/AQ6lZTJVoVeb7fPQ4d47ymM/VspjfqwLnzlE6OppOqsy4nAU8sCJeplGoUKHokiVLnl+2bFnumH2RkZFs3LgxzL+cFEzW3uzZswvdf//9F7Um/+qrrwp07NgxNi26Tp06ZzZs2BAWGXmhUmL58uW5S5cuHeGfhTd27NiC/fr1Kz9p0qTtvXr1OpaSmJ955pniL7/8cql58+b93bp16/glrik6b3wOHjwY1LRp08rBwcH6008/bcmfP3+cuVWrVj2zYsWKOKWza9euDatdu3ZGXqxYLBaL5QrCFfSWqzIYcwF3I6bcqy+wXoT1IgwXoUpAA00fZmMM77sGOI7LnSGYG9lfAh2IJW2oshFTavqiCMZ32atRGBGoI440D1hwyeFIARx5ElPCOgn4G2iIV5vi1a/waqLX2OmFqm5X1RZ+ZeEzEpnX3D8Lz79c3N0+rqq5VXV7Mucrl1QWnqpGqmozVT3ot6+vW4beXDXR7rvNgENAClyw0he3iccqLjQW6gTsUdWEfLVmALeJSHFX7BvAhczppMYSO/c5TLbmI6oJ/rwsBG7G+BLGvDeLMeXmS5JqoGOxZBqO5MH8XS4KF1mfeIBueDVNjSZUOa3KLlX+UeV4WtbKbKyIl4n07t37wPvvv19sxYoVOU+dOiWDBg0qFRwcrD169DjmP2/8+PGFgoODtU+fPnFKUQ8fPhy0fPnyvHfffXfs/B49ehwNCgrSQYMGlTp16pSsWLEi5/vvv1+sT58+sX/oXn755SJDhgy5avr06Vs7deqUoh/2Bx54oNSHH35YdMGCBX83btz4bPzxlJw3Prt27Qpu3LhxlZIlS57/7rvvtoWFhV1UttS/f/+Dn3/+eeHvvvsuz7lz5+S1114rsnPnzpz9+/c/lNCaFovFYrGkBVV8qixR5VGMj1EzzA3NQGCTCGtFeFqEhAzJL3+8ehrTKKFnUtNcf6q/3UYNa9xupzFjt4rIKnf/ehG5J4l1nnDnbBCRWSJSwG/sHrfpwxoRWS0ityayxq3uGutFpI3f/t4i8nQqXn2KcLMvOwCvZbuS6iuXkUAuTNm8wavfYcT6twiR6xDphsjNuNlSAcWR8jjyDiaDaximxL8iXu2GV1cENLasS1Pg5wD44cXQH+gvIpsxpfr3xQyIyAQRuQ2MaAqMwDQo2QocxHS2TXIsKVR1pqom1tBmBabU1r/D72KgEtYPzxJoTBbyA5if9yeBV4HpGF9TMCX0L+LVK7qDsmjAPtcuf1auXFkhODj4p8qVK5/IlStXmp9K+Hw+Bg0aVHLatGlFTp8+7alevfqZ//u//9vVsGHDOCJZ5cqVqzVr1uzEhx9+GMdEcezYsQUnTpxYZMWKFX/771++fHmuBx988KoNGzaE5c6d29erV6+Db7755r8ej9FoRaR+UFCQhoaGxvnPnjlz5pa2bdueih/n5s2bQ6tUqVIzODhYQ0JC4hyzdu3avypVqnQ+JecdO3ZswcGDB5c9c+bMaoDBgweXeOutt0rmzJnTZx4mGRo0aHDq559/3hKz/fLLLxcZM2ZM8SNHjoRUqFDh7BtvvLG7Xbt2F8V5qZw9ezZ08+bN+aKiolrWr18/yaeDFovFYrkyESEII+h1xWRRFMJkVnwOTFfN3G6HacKRNpgOpVUS8wNLzJfKzf44DDRX1XUiUg6T2VJEVU/Gm9sKGA00UtWTIjIMKKGqA0WkIMaUvbKq7hORG4GZqnpRV3sR+QNThoc7p4GIFMNkoLSKMYtPL0SYDDQEqquS4ZlOlsxBhP9hOvZWVnX9kRpKH/Ywgf/iTN0HPIvqhEwP0pFGmAzBTpguqqOBCXg1S2WFXHY4EoT53BqOV98NdDgWiyUZjP9nZ0zzmnK42dR49QCOFMOIenkw12HX4b0yGjYlhhXxkiC9Rby00qZNm4pNmjQ5OWzYsIvKbC0px4p4FovFYkkNIoRg/IO6AndwIYvhC+CLWIHgcsWRYEyGzwd4dURCU5IR8Q4Bd6jqz66p/LdA+fhlVyLyP4xI18/drocxTs8nIoUxJYL1VHWLiLQHnlfVegnE8hsma0WAj1T1BhFxMCb6v8efnxZEuArYBvRT5eP0XNsSWETIAWwEligyGvM7/BIQksgh/VD9MMMDMwLTbRjxrjGwEuP99OWVfmOabjhSG+N1Whfvhc80EcmBea/bYGwG1qpqDxEpRFz/uDCgAlBUVeNURolITeB9TJlfFOZvwUBVPeuOf4lpqFECCFfVYwmFKCK9gf8BEUAfVV3l7n8e2KSqThreAYsl62AsDl4HrgU+BZ7Fq9vizbkXeAzogle3cIUT+PRxS4pp2LDhqV69eiXY7dVisVgsFkvGoEok8D3wvQgPYPyE7gKGA2+K8BsXMvT+DVykieDVKBz5FOiBI88lUV42xRXtfgeGqupBVVW3tHamiJzGCJh3JuKbtBJ4UESKA/uB7kBeESnodr0cAKwSkSOYUsebE4njSWCy+/3jruC3P70FvJj13Vg/yYC1LQFElYj3ZeD0m/jxSS54kyXFc4hMQjNISHMkN6bZxuNARWAOphtoIEs+syvNgOPAn/H2v4oxya/sfrYVB1DVw0CdmEnuA4lm8QU8l3PAQ25mchDgYLy7nnPHxwEPYj5XkuJZoAZQH3ga6Cwi1YFaqjo8ha/TYsm6GLH9FeAW4AegPl4jZl+EVydhfEItWBEvS/HCCy8k98fAYrFYLBZLBuJ2LPsG+EaE/piMjruAF4G3RfgVI+h9qZrsTVxmMg0jHlwPLE1gvKmq7nI7Qb6IEdFudbsrDsMIdz+LyLXA1yJSU1Xj+NWq6kIReROYi+keN8sdinI7VT4KNFTVjSLSAZglIlXjC4Kq+gvQCEBE8mLe77Yi8hgmc2k/MCitBuwiFAL6Ac9e7p3oLJeAyB0PwhPxHdEBDlGIL+nMSuqzNuRaDklhBC15nPzrDwuLgT8wv8Npf3juSAlMF8UHMOL1ZKAdXv07yeMsaaEp8CtejY7ZISK5gT5AaXVL0VR1XyLH9wGeSmhA9UIWkKpGi8gKjBgXs2+Be77kYowGcmI66J4XEQ/wNnB/cgdaLFkaR8oBz2MerqwGWuPVHwIaUxbDingWi8VisVgsl4AqEcDXwNci5ALaYkpuXwfeFSMGfA7MVCXRxk+ZxGpMaWEPEhDxVHWX+2+kiLwDxHjn1QFKqurP7vgKEdkD1MU8OY+/zv8B/wcgItdhOjKeEJHOwDFV3ejOmyMiEzHdgZMqjXkZUwJZHLhdVVuIyEhMll9ay18HAueBjC+htGQuRkF5ReJ1NdxMJZ6Vl5jFHYTmgAb1lOsbhFC8uBn/7z8qr1xJ+ZUr6R0ZyZigIGb4fAxTZVsCZ0kaR2piSma9wDHgHWAsXg30Z0H2xnhrNQXeiDdSETgCPC0iNwNngedU1b+MFhG5AZNxPDe5U7nCYF8SEfyS4UnMZ+hJTBOMB4F5qvrPJaxlsVz+OFIYk3U6ENiD+Wz8IjO6bmc3rIhnsVgsFovFkkZUOYvJPJslQhjQDiPovQO8L8JPGA+9memS3ZNavKo4Mg0YjCOP4b2QxebeiIb4eTfdjRH9wHjplXAz5jaKyNWYm+EEs4hEpISq/iciYZgn7a+7Q9uBOiJS3G1scT3mOjRRP0FXBMyvqt+5XnwxJYc+jMH1JeP+Hz0MvK/KyeTmW7IcNYAqMRvReHiZp3nRM5zKlWD8kGC6dIE8Cf8UhZw8CZ9/TtDrr9N52zbuFGFEZ6a/Pp27bsB0sd4H/IxeyPQCYgSk1hjxrhVGOH8QmIZXz2XEC7VcRBWgCPBzvP3BmIcGG1R1qIjUBX4Qkeqq6p813QeYklwDHREJxTyk+V5VZyU1NyFUdSYw012rDHA7JuP4Zcxn7FZVfSa161oslx3GSuBRTNl5BObz8QP/6xBL6rAinsVisVgsFks6osoZYDowXYQ8QAdMye0YYKwIP2AEvdmqHMvE0D7BZLW1xWQQxlAMmOH6OwlGcOsFoKr7RaQf8IWI+AAPxg9qF8SasP+rquPctb53y8JCgamY14yqrhKRl4CfRCQSYwh/l2rCwoZb1vsaplsdrv/UdhFZj9toI43vRW+MEGg7V2ZPYptXRBBKN890vg1qx4svBfHYYxCSWGsLl7x5oW9f6NWL4FGjYPiz+vJ5zTXsvC8kdyixlnl7ERmK6jQcyYHJKhmEERB/wgj539ksk0ynKXAG08XSn12YBwCfAKjqahHZAdTE9a8TkTyYz+prkzqB+/n0OfAfRpxIK6MxPzvNMZnPXUVksoi0UNWF6bC+xZL5mKZavTF+kfmAN4FReNU+OEsjtjttElxu3Wkt6YPtTmuxWCyWQCBCPkxXyq4YLz2A+Zibwa9VOZHhQTiyGNiPV+/K8HNdprjdhrcA81QZGOh4LBmAEVn+UShxl+dL5ue8nW/mB3PjjZe23MKF0OHWKDpGfMFU7R63Rvc2vqArTYHCwGeYm9Q1aXwFlkvFkU+Aoni1VfwhEfke0+X6GxEpD6wAaqvqXne8D3Cfqib6k+L6hH6OKZHuq4ncTIuIkkR3Wr95XTHNLJ4RkdswncDvE5GPgZmqOif5F22xXEaYjOSOmKYVFYEPgOfx6uXkE5yl8QQ6AIvFYrFYLJYrAVVOqDJNlQ6Y7Ld+mKqIj4EDIswSoZubvZdRTANuw5ECGXiOy527MCWRowIdiCWDMB1mX/mQ+5mhdzJ7zqULeAAtWsCXs4L5RL1MpWfcwd/oTDRTgPJ4tacV8AKIEQ+acXEpbQwDgCdE5E9gNtA/RsBz6QN8FP8gEXne7a4N5iHMnUADYLWIrBGR9/3mznN9QwH+EpFFiYUrIuEYf7AX3F3fAYVEZB1Q0N22WLIOjjTB+O7OBNYC1fDqQCvgpS82Ey8JbCZe9sRm4lksFovlcsLtknoH5uawJcYzZh4m2+Mbtzw3fXAkHOPn9SBevehmNbsjgmBuLP5S5e5Ax2PJOEQoEuqJ+nfQk8HBr7ySPms+/pjy0Zgz/BNdmvC4lfC1UV2XPmexXDKOlMfYATTDq4kJeRaLJb1xpAYm8649sBAYgldXBDao7IvNxLNkKn///XeoiNRfv359DoCxY8cWLFeuXI3kjrNYLBaLJbuiymFVJqjSCiiB8UYqjPHNOyDCpyLcIULONJ/Mq0eBOZgutVcit2A8sF4LdCCWDGdAjtzBDBtmNkaOHEnFihXJnz8/hQsXpk2bNqxZsyZ28vbt22ncuDGFCxcmX758VKxYkRdeeAGf74Kl3XMjBQ3NwQT6xj+Xvae6PGiK6Tj9e6ADsViuCBy5Ckc+BtZhMtzbAjdZAS9jsX9wLAHlgQceOLJz5871gY7DYrFYLJbLAVUOqDJOlRZASWAoUAqYgRH0porQQYQcaTjNNKA5jlyVDiFnNYYA81VZE+hALBmHCBISwoMDBhCcO7fZ161bN/744w+OHz/Ov//+S+vWrWnTpg3R0abBbJEiRZg4cSL79+/nxIkT/PDDDziOw/vvx1ZKkj8/9L4/mA9C4lgp7gL+zLQXZ0mKpsBy2wnYYslgHCmII28AmzENWXoC9fDqfLy21DOjsSKeJdM4d+6cJD/LYrFYLBYLgCr7VBmjSlPME+5nMSbRXwP7RZgkwi0ihKZy6W+Bo3BllZOKcD3mJt9m4WV/SkdGUvyWWy7sqFKlCuHh4QCoKkFBQRw4cIAjR44AkDdvXqpUqUJQUBAAIoLH4+Hvv/+Os3DbtrA1shwHKRyz63lUozP6BVlSRFJ+eBaLJa04kgtHhgDbgPswD8auwauf2E7cmYcV8bIZDRs2rNKrV6+rWrduXTF37tx1r7rqqhpjxowpFDP+2Wef5a9evXrVvHnz1ilXrlyN4cOHF4t5Ann//feX7tChQ/mYuZ07dy4XFBRU/+DBg0EAP/30U+5cuXLVPXv2rADs2LEjpEOHDuWLFi1aq2DBgrU7dOhQ/t9//w2OH0v79u0r5MuXr07v3r3LxI/33XffLVSsWLFaMdudOnUq1759+wq9evW6qkCBAnUKFSpU+9FHHy3pf8zq1atztmjR4upChQrVLlq0aK0ePXpcdeLECfuzbLFYLJZsiyp7VRmtyg1AWYwRejXgG2CfCBNEaCVCcJILAXg1AlOq29M1gr9SGIIps1sU4DgsGU99gPr14+6cN28eBQoUIGfOnAwaNIjHH3+cIkWKxJnTpEkTcuXKRYUKFThx4gQDB8ZtYNywofl3BddGAmPQK89b8rLEkVKYhxyLAx2KxZLtcCQYR3pjOruPAN4HKuLV0e41hSUTSf5CzxKHM2fOyIYNG9JSwpJqqlWrFhEWFpbitNQvvvii8MSJE7fNmzdv28yZM/P36NGjYuXKlc/lyJFDe/bsWXHs2LE77rnnnqPLli0L69Sp09XBwcE6fPjwA23atDlx//33l/f5fHg8Hn7++ed8ZcqUiZgzZ06+3r17H/3uu+/yXXvttady5cqlZ8+elZYtW1Zu1arV8a1bt65XVe65556ynTt3Lr906dItMbFMnz690KRJk7Z/9dVX28+cOePxF/kS4/vvvy8wZsyYHRMnTty1aNGi3G3btq1y8803n+zQocPJ//77L7hly5ZVHnvssf+++eabbceOHQvq1KlThX79+pX57LPP/rnU99hisVgslqyCKrswnVVHiVAe0221K6az4iERZmBEusWqJJYhNA3oD9SG7F9aKkJV4Hagkyq21Cf7UyBHDnz58sVNWGjXrh3Hjh3jyJEjTJ48mdKlS1904C+//EJ0dDTLly9n7ty5FC1aNM54wYLg8SjHfflDgIcQyQ30RW0WSoBpAkQDvwU6EIsl22Ae9HXANK2oAkwARuLV/wIa1xWOFfFSyYYNG3Jce+211TPznCtWrPirQYMGKfZ2aNas2XGv13scoGvXrsenTJlybMKECYWDg4Np3rz58b59+x4FaNKkyZmBAwfu+/jjj4sMHz78QNu2bU+eOXMmaMmSJWE5c+b0hYSE6H333Xdg/vz5+Xr37n30p59+ytehQ4ejAF988UX+06dPB40bN26Px2Ouj95+++09FSpUqLVt27aQihUrRgLcfPPNx7p27XocIG/evCm6uKlXr96pfv36HXWPP33NNdecXbZsWe4OHTqcHD9+fKGyZctGjBgx4gBArly5op577rm97du3rxIVFfVPcLD9kbZYLBbLlYMqOzDloa+JUAkj6N2FEej2i/AlRtD7VRX/v8NLgJ2YBhdrMjPmAPEExrvnq0AHYskUoqOiEFVIKNe0YMGCPProo4SHh1O5cmVq164dZzwoKIgbbriBX3/9lX79+jFjxozYMZ8PfD4hmKiYXfdhhKMPYyc50gPIDXxg/aEyjabASrx6KtCBWCzZAkcaY64vGmN8ee/Eq38nfZAlM7CKRyqpVq1axIoVK/7K7HOmZn7ZsmUj4m+vXbs2LDg4WKtUqRJHDKxUqVLEvn37QgHy5Mmj9evXP/XNN9/ky5EjhzZt2vREu3btTowdO7b40aNHPWvXrs09bty4fwA2b96c88iRIyH58+ev479eaGiobt++PTRGxCtbtuz51L7eYsWKRfpvh4WF+U6ePOkB2LJlS46//vorLG/evHHOKyLs3r07pHz58nGOtVgsFovlSkGVLcBLwEtu5llMht5A4F9X0PscWKaqPhyZBvTBkSF4s6+nlwilMWLlg0lkJlqyF9uio5Ft2+DqqxOe4PP5iIyMZMuWLReJeDFERkZe5Im3caP5tyLb/Hc/TIyI50heYBIQBFyHIwMCXW4mIjkw2bttgHPAWlXt4Y69C9yGKdOvq6prElnDA7yO6T4ZjHkQ8ICqnnfHhwD3YLrDngMeUdWLusSKSG/gf0AE0EdVV7n7nwc2qapziS+zKcbv02KxpAVHqgEvY7LXfwaux6vLAhuUxR8r4qWSsLAwTU1WXCDYtWtXaLztHCVLlowMCQnRHTt2xCkF3rp1a47ixYvHCm0tWrQ4sWDBgnyhoaHap0+fgw0aNDinqrz55ptFw8PDo2Jee/HixSNLlCgRsXv37iQ7y3o8nnR9+li8ePHI+vXrn1q2bNnm9FzXYrFYLJbshCobgZHASBFqcEHQewTYLcL0IR1eWfZqt6dKAC2BHwIXbYbzOHAImBroQCyZxmoRon/7jaAYEW/06NF069aNYsWKcfDgQZ555hlCQ0Np3LgxAD/88AO5c+emfv36BAUF8csvvzB69GjuvffeOAsvWwY5PRHU9MVpSFvJ7/sWGAEPTMfGajhyG17dnyGvNGW8CihQWVVVRIr7jX2JEed+TWaNPkA99ysS+AB4FHhDROoADwLVVfWUiPQAxgANE1jnWaAGxrfwaaCziFQHaqnq8Et6dY4UBqoDT13S8RaLBRwpDTyHyS7eALQDvrXZxJcfthlANmTx4sX5P/vss/xRUVF8+eWX+b7//vsCffr0OdS3b99DixYtyj9p0qQCUVFRLFmyJNeYMWOK33PPPYdijr311luPr169Os+qVavytG/f/iRA06ZNT7z77rvFmzRpciJmXo8ePY5GRUXJo48+WvLw4cNBAHv37g3+8MMPwzPytQ0YMODwhg0bwl599dUiJ0+e9Ph8PrZu3RoyderUAhl5XovFYrFYsiqqrFdlOHANUAfjh9fxtTlDv1jzT+3zP29q8pYI9UTIdk0uRAgH+gFvq2LNt68QVDkbFMSiiRMvZF7+8MMP1KpVi9y5c1OrVi327dvHggULKFGiBAAnT55kwIABFCpUiEKFCjFw4EAeeeQRXn755ThrT5oQSSsWEHKhnBaKkRNHNuHIeExWXkxlSBBG9FqNI3Uy8jUnhhjPvj7AM6rmZlxV98WMq+rPqronBUvVBhao6nl3nW8xIiUYgTAEU0IMUABIbM1oIKc797yb4fc2RhC8VJq4MSQnRFoslvg4UgBHXsU0rWiFEfHq4NVvrIB3eWIz8bIhXbp0OTxx4sTCffr0qVCwYMHIN95445+2bdueApg0adK2l156qeRDDz1UvmDBgpH333//gWHDhsU+Gbz++uvP5s2bN7pMmTIRhQsXjgZo3br18S+//LJQq1atYkW88PBw39KlSzcNHjy4VI0aNaqdPHkyuGDBgpHNmjU7cf/99x/NqNdWqVKl84sXL9705JNPlho1alSJc+fOeYoWLRp55513HgGOZdR5LRaLxWLJ6rgNHdYCa0V4Bqi3ZHPj1+5pMrllWI7TK89E5N4qwhcYD7112aQBxIMY0WB8oAOxZC5RUYxatIibVq40XWrnzp2b5Pw777yTO++8M8k5S5fCkuUh/MSbcQcK8SFwGGgOXBfvsGCgKLAMR7rj1RlkLhWBI8DTInIzcBZ4TlV/TOU6K4H+IjLGXeMuoByAqq4VkbeBHSJyBFMq2zSRdZ7EZP6exHh3PgjMU9W0NKhrCqzDqxl2D2KxZDscyYmx23jG3TMMeB+vXtZVhxYQteJqoqxcubJCcHDwT5UrVz6RK1euVHu7BYKGDRtWue66606+++67/wY6lsuVs2fPhm7evDlfVFRUy/r1628PdDwWi8VisQQMR4qpsvfbtbc81+6NbwpibsxLAX9jxLzPVclUL+D0QoRcwD/ABFWeDnQ8lsxFBE9ICL9VrEi91asJzpkzbeudPg31a52n5D/L+DG6mX/a6vfAbahG4EhlzO9OUkwHhgI7MiPLRUTqYQS4e1R1iojUxYho1VUvlPiKyE6gYxKeeAKMwPhknQUWAA+pakERKQ84QCdV/VdEHgK6qeqNycRWBpiI8dl7ASM4blXVZ5I67iIcWQkswauPpOo4i+VKxJEgjE/sC0AR4B3gNbx6LIBRWVKBLae1WCwWi8ViuVLx6n4Rvr+1zrfXqzIIuAq4ESNM3A+sF2G9CMNFqBLQWFPPfUA+YHSgA7FkPqr4IiO5e8sWzvfrh/p8yR+TGNHR0Ld3NPv/iWBydPcYAS8aGAC0Q2MbV7Rx98fHr/aWTsA2YBeOTMOR+3GkMk5CfXTThV2AD/gEQFVXAzuAmqlZRA3PqWpdVb0B45kVI/B3Av5U1Zgkgo+BxiISmtBafowGBmEyGEuqalegtIi0SHFgjuTH2AT8nOJjLJYrEUcER9phOtJPBOYDV+PVp6yAl7WwIp7FYrFYLBbLlc00oI2bledTZYkqjwClMTfXizElN5tEWCvC0yIk0vPz8kCEYEwHzEmqBLKhgCWAqLI9Opoun3xC9N134zt1KvVrnDwJd3WKZtaX0XwRfSdlLli9BQGfouov0LXkQlMLgBPAT5jOsHcBVwN5gGaYxhDFMULW38BeHPkURwbgSNX0EvVU9RDwI0ZgxM2aKw9sTM06IpJTRMLd7wtjsglfd4e3Y0S7PO52e2BzTOfaRNbrCmxU1T8x/ngxWYk+zHuUUhpj7mmtiGexJIYj1wGLgLnAVqAGXr0fr+4NaFyWS8KW0yZBViyntSSPLae1WCwWi8UPR3ID+4Gn8eq7CU1xRbGmmA63nYBCwCrgc2C6KjsyKdpkEZH7gIkw0wd3VFFlq99YTCfewar6TiLHN8IILLkw5vw9Vc2NjogosJ4L2VYPq+ovCazRGyMiRgB9VHWVu/95YJOqOunyYi0pQoSbgoOZVbQoucaNI7h9e0hOIlOF2bPh4QGRnD18hpnRt9Esrk70L1Aa/5spR2oDXTDlq6uAXcmWzDoSCjTACHvNMaJUbuAARpha7H79hVcvKZ9QRCoAHwGFMSLZ86rGm09ExmO6UBbH+PqdVNWr3bEJwNeq+rWIFMOIAD6MaDZaVce58wR4GbgD8zN/GvO7sTKReMKBr4DWqnrOzdj7EuOxtwPorKqRCR17EcaQ/3a8WjU174nFckXgSBXgJczf7SXAk3h1aWCDsqQVK+IlgRXxsidWxLNYLBaLJR6OTAaq4tWGyU0VIQRogRH07gDCgd+5IOjtzshQk45NygEO1KkN/VerDrjRbyw/RsDbD/yYkIjndsrcDNyvqgtF5H9AI1Xt4o4rEK6adOmRiOwAagD1gUdUtbOIVAdeUtWOaX+lltQiQvGgIN6NjqZLlQrn6d0/lGbNoGZNCAszc06fhj//hIUL4eMPzrNlZyg95BNG6eMU5WDcBYMZRqS+lO6BOhKC6WjbzP26EVMWfpi4ot66SxX1shWOLAX+xKv9Ax2KxXLZ4EgJjIdlX0ym71Bgru02mz2wIl4SWBEve2JFPIvFYrFY4uFIK4wP3jV4NTlj/lhECAVuxpQK3oERG5ZimmJMVyXTGm25Atz38PIsmD8G8g5WnfOW3/hUTFOBO4E1iYh41wJTVfUadzsvcBAo4GYMpVTE2wo0AhoCPTEm4t9hxMG0dOG0pJHl0ujUJO7N/WlQD45H58UjPvLlNomVx08HoyqEB5/AGzWFPnxEXdZcvMi1RPEQvxBMR7x6IkMDNib0dbiQqdcEKAAcA37BCHqLgDV4NSE/vuyLI2HAceBevPpJoMOxWAKO8Yh8AuM1eQQYDkzBG6fs35LFsSJeElgRL3tiRTyLxWKxWOJhhII9wId4dfilLCFCDozv1l2YDpa5gV8xGXpfZrQ3nZs1lxe0CdSrA6t7q+psd6wz0EFV7xGRSSQu4nUC+qlqG799B4DrVHW7K+KtAoIxPmPPqurpBNa5ExgGnAT6Y4TOIFW1TTYCjcg2oIIPYRsVWUttDlMIQSnEYeqwhvLswEOC90iHgJ5MZj/BfAvsBW7Fq5nnu2h+V2tyIVOvKaa8/QTm9y0mU28V3hSWpGYljB/fI4AXoRTFyck53uQoL5GMuG6xZFscyQE8gPm7EwS8AryHV88GNC5LhmBFvCSwIl72xIp4FovFYrEkgCOjMNl0FdNaciNCLuAWjKDXAciJERY+B2aqxq9NTBsiUgP4EPYNgmJLochaOPScqs4WkeKYLLjmqnosjSLeVaq6S0RyA+Mw/mEPJhNbGUwnwLbAC0BFYKuqPpMuL96SOkSeAV5MYsYJIC8QxzXvEPxXGBqiajpbOFIRk72qQGu8GphrSkc8QDUuiHrNgKIYX7olXBD1VuBNvNFElkCkLCbrsFwCo5uBZqjuy8yQLJaAYn7/vZjPtOLAu8CrePVIQOOyZCi2O63FYrFYLBaLBWAqpmvlDWldSJWzqsxUpRtGUOiGKe15B/hPhO9F6CNCwbSey6UJUA5qLYBS5+HQNcAHIvIAxpeuBLBGRHYCnYHhIpKQn9kuoGzMhltOmx/TxABV3eX+exr4P/e8yTEaU9rUHCipql2B0iLS4hJepyXtvItpPJEQkcA9QHXgTeAb4IvhMLc05BK4IIJ5dRvmd+UEsARH6mRk0IniVR9eXY9X38erd2Fu5KthGqscAR7CZOgdw5EFOPIsjjTFkZwBiTdtvE3CAh5AZeDVzAvFYgkgjgiOtMVkhk/BdMGuhFeftAJe9sdm4iWBzcTLnthMPIvFYrFYEsARAf4EfsGrD2TEKUTIg8nM64rJ1PNgmk18DnylyrE0rF0F2GjWloHAOzHltHHnJZmJ5wG2AH39Gltc5zamCAciVPWMO+8toKCq9ko8JukK1FLVZ0TkNuAOVb1PRD4GZqrqnEt9vZY0IJIHGHIKHsoDBRSiBOYBr6H628XTJS+wCZivqr3jDDqSD5iF6TB7O15dlOHxpwbze301F7L0mgOlMV1kl3EhU++3y7X0ToQi9VjZ8m4+/fQ4+cWDj+Lsow5rqMU6cnMmZup5oCiqxwMYrsWSsThyLfAapsHUHExn+fWBDcqSmVgRLwmuJBHv3XffLfTSSy+V2r9//7pAxxIWFlb3iy++2Nq+ffuTGbG+FfEsFovFYkkER4YCTwLFM7r0ToT8wG2Ykts2mLLE+ZimGF+rkqqGASJMwIgU14D8SApFPBEZgMmQG+5uXw+Mx5QA/wv0VNXdfvsV44m3CnhUNeGsB1f0+wpo7TbFCAW+xGQS7QA6q2ZDz7IshEfkhQLQ+QjUQTUiqbmuIPsZ0FhVl8YZNH5U0zA/z168OiODQk47RtQrT9zy23IYAex3Loh6S/Fe7PeYWbhdsLuEhNAvMpJmAMULnadwQR8+H+z5L4gTZ0LI6Ymgk35JPx1PU34BuBrVbYGK22LJMByphCmbvQv4DRiCV38JbFCWQBAc6AAs2QMRqT9r1qzNHTt2TLHwlphweObMmdXpH6HFYrFYLJYU4GAMsW8FZmfkiVQ5jinhnSpCONARc3PyMRAtwreYDL25qpxKai0RSmK6wD6sSjRo88TPq/fG2x4Xb/s3oFYCxyW4P4nzHMU0HYjZPo8ReSyXCQpljsI/yQl4Ll8A/YD3ReRaVb9uj16NwJFuwHvAdBx5EG/cn6vLBuN3ud39+hgAR67iQpZeN+AZIApH/uCCqLckwzvxuojQKCSEidHRVG3TBl/v3tC4MRQtGho7x+eDnTvhhx9y8NG4LjRb0507PLOjjvny6U+ZEaTFklk4Uhx4FvP5sw3TYX12Wr1rLVkXK+JZLBaLxWKxWAxe3YUji4EeZLCI548qRzGCwsciFMI02OgKfAJEiDAPI+h9o3qhds6Px4CjGG8giyWlXAVsTclEVVUReQhYBwwAxsSZ4NVoHBkI7APG4kgx4PkscaPt1V24gjoAjpTiQpZeR2AI4MORlVwQ9X7Fm/7dYEV4HBh1ww34PvgAqVyZoITmeTxQoQL07w/9+4cyfz7079vBs3df0BoROqiyOL1js1gyFUfyYrwtB2O8Nx8EPsbr9wDBckViG1ukAhHqB+orpTG+/PLLRcqUKVMjd+7cdQsVKlS7U6dO5UzsUn/27Nl5Y+b9/fffoSJSf/369Tn8j3/hhReKFitWrFaBAgXqdOnSpdzx48c9AD6fj8cee6xksWLFauXOnbtusWLFaj300EOlAK6++urqAN26dasUFhZWt2nTppUAJk6cGF69evWq+fLlqxMeHl67ZcuWV2/atCkU4LvvvsvzxBNPlD148GBIWFhY3bCwsLpjx44tmFCsn332Wf7q1atXzZs3b51y5crVGD58eLHo6Gi//xep/9JLLxWtV6/eNWFhYXUrV65cbf78+XlS+/9rsVgsFosFMDfyHXCkQCBOrsphVSao0grTkGIQUBiTCXVAhE9FuEOEnAAiFMCIKu+oci4QMVuyLFdhmpmkCFXdiPFCfFFEil00wauKV5/H/DwOB8bgSIIi1GWNV/fiVQev9ser12B+D+8GVmCydOcAR3BkFY68jSMdceTSmtSICCK5ERERngLeeu01ZOFCgipXTvkybdrAhr+DPO3bk9vj4XsRbOMYS9bEkVAceRiTdfcY8BJwNV790Ap4FrAiXrbizz//zPHCCy+Unjlz5tbTp0+v3r59+599+/Y9lNLjDx8+HLJ27dqwLVu2rF+9evVfGzduzNW/f/8yAF999VW+Tz/9tPCvv/666fTp06vXrVv3V8eOHY8BbN269S+Azz77bMuZM2dW//zzz1sA8uXLFz1hwoSdR44cWbNhw4a/ALp161YBoG3btqfeeOONf4oUKRJ55syZ1WfOnFn9wAMPXOQps3jx4rCePXtWfPzxx/cdOXJkzdSpU7ePGzeu2EsvvVTUf96UKVMKT5kyZcfx48dX33jjjSfvu+++8pf4NlosFovFcqUzA+P71jnQgahyQJVxqrQASgJDMab8MzGC3lRM91cFxgYuUktWw21OUhrYncpDXwBOYYzlE8ar44EuQF/gM9czL+vi1X149Qu8OhCvVsd0nO6C6XrbEtPY4xCOrMWRd3GkE44USXJNkWKIvAMcBE7Np/Up4OXRo+HJJ0Ek9WGGhcH06Xg6diQ4OJgZIlwstFoslyuOeHDkbkyDpjcxD9Qq4NVX8GpCGeiWKxQr4mUjQkJCVFVlzZo1uY4cOeLJnz+/75ZbbknSQ8YfVWX8+PG78+XL5ytfvnzk8OHD986YMaNQVFQU/8/encfZXH8PHH+du8yYYWYMxjL2rFnGFqVUtlBpUUKXdm2K0L5K0jdJi1TEj1LdSvtCUYgiiaxlX7KvY4YxzHp+f3zuaGhmzDBjMOf5eMyD+1nen/O5xsy9577f5wQFBaUnJyfLokWLiiUkJEi5cuXS2rdvn2Ox265du+5v2bLlIY/HQ4UKFVKHDBmydcmSJcX37duX6++7MWPGRLVu3Tq+d+/e+7xeLxdffHHifffdt2PChAlHvTDo27fvzgYNGiR5vV769Omze/v27UGbN2+25eLGGGNMXjlL5L7FWVJ72lBlhyqjVLkYJ/nyDE7XzZuBYOA1ES4PFMQ35niicL5vcj0TD0BVE4ABwC0iclG2B/r0C5yGLR2A7wNdbM8OPt2NTz/Hp/3waSM4sgR+OtAK+BTYhV/+wi9v4ZfugbpeDpEqOE00HgBK7yeM2zzvh95wXRp9+55caB4PTJiAq3x5Sng8jD+50Yw5RfzSHmem64c4yfHa+PRBfLq3cAMzpyNL4p1F6tatmzxu3Lj1EydOLFO1atWYBg0anDtmzJhcT20PDw9PLV269JF1qrVq1UpOTU2VLVu2eK+88sqEQYMGbRk+fHiF8uXLNz7vvPPqfPnllzm+GJk8eXKJli1b1o6KioopUaJEk44dO9YF2LZtW65fXG/dutVbvXr1o4oN16pVK2nHjh1BmbdVqlTpSAe9sLCwdID4+Pgzb/mCMcYYc3r4ALgUv1Qt7ECyospWVV4D3sXpqvkiUB+YAuwQYZwIl4lY/WeTrSqBP/OUxAv4DCdh9aaIZP895tOfcerK1QNmHZXIOpv4NBaffo1PB+LTpkAp4Cqc/4/n4SQmtuOXlfhlDBXx8+/zzzh6s99TirffcZ/QDLxjhYfDO+/gTU3lChEan/yIxhQQvzTFL9OAH4GdQGN8egs+/aeQIzOnMUvi5YEqCwvrK7cx9urVK+6XX35ZExsbu7h///477r333upLly4NDg0NTU9ISDiS1Nq0adN/Emn79+/37N2798gx69atC/J4PFqpUqUUgP79++/9448/Vu3evXtx586d43r06FEzY1adHPMb9/Dhw9KtW7da7du3j1+9evXyhISERVOnTl3pPI9OfV+X6/jffhUrVkzZsGHDUUsQ1q5dG1y+fPnk7M4xxhhjzEn7HogFfIUdSHZEcAMPA++p8qwqLYAawEtAU2AasF2E0SK0CRxvTIbKgT+35PVEdV7M3o+TnLsXgI88E/g4ZCV+iTjqYJ8uBi4EwoA5+KXGiYd8hvBpHD79Dp8+jE9bAJHA5cCXHKQROzgygzEd4Q3vQG67w03p0s62wYMHU6NGDSIiIihTpgwdO3Zk8eLFWV5q4cKFeL1eWrVqddT2Tp2gdm1SROhfIPdozMnwyzn4xQ8sBEoCbfHpFfh0aeEGZs4ElsQ7iyxZsiT4k08+iYiPj3d5vV4iIyPTANxuNw0aNDj43nvvlU5MTJTNmzd7Bg8eHH3s+SJCnz59Ku3fv9+1ceNG73PPPRfdpUuXvR6Ph5kzZ4Z+//33JRISEiQ4OFjDwsLSRASPx/nwsUyZMikrVqwoljFWUlKSJCUluSIjI9MiIyPTN27c6H3yyScrZr5edHR0SlxcnGfHjh3Zvqju3bv3np9//jni3XffLZmamsqcOXNCRo0aVf6WW27Jda0/Y4wxxuSRT5NxusHehD8/5sYUiOuBc3BqBwGgynpVhqnSFKgNvIaTQJkBbBVhlAiXiNhrYEMVYKeqJh33yCyo6koCTS7+fEG6oWm3gtbCqZl3NJ+uBy4C4nASeU1ONOgzkk8P4NMf8Onj3EVX/u1Px1pqsjGlEr6e//6Y6dGjBwsWLCA+Pp5t27bRoUMHOnbsSObGdgCHDx/m1ltv5dJLL/3PJUXgllvwer1cXmD3ZUxe+aUsfhkJrMSZpXoDcD4+nVm4gZkzib2AOYskJSW5hg0bVqFSpUoxJUqUaPLYY49VHjVq1Ib69esnvfXWW5t2797tLVOmTON27drV9vl8/1lfX7p06ZQGDRocqlmzZoNGjRrVr1Wr1uExY8ZsBjhw4ID74YcfrlyuXLnGERERjSdMmBD1wQcfrM1Yuvr0009vHTlyZPmwsLDGbdq0qRkREZH+yiuvbBwxYkSF0NDQJh07dqx13XXX7ct8vauuump/+/bt4+rWrdswLCys8ejRo/+z9Ldt27YH33333XUvvfRShZIlSza58cYba9x55527nnrqqZ0F9TwaY4wxBnCW1J4Lp99yNBEEeBT4QpXVWR2jyhpVhqoSgzNj6m2cIvyzgM0ivC7ChZbQK7Ly1Jk2G8+HBnGgchnveCpenU7zt1wg9+OXZv850qc7gTbAXzhLa4tq99SdgS8Afud8vJ50mmRKa9apU4fIyEjAWcHjdrvZtWsXsbFH98B78sknadeu3X9m4WU4/3xITqasCBWzPMCYU8UvJfDLMzgdZ7sB/YD6+PQzfIFlasbkkqh9z2Rr4cKF53g8nhm1a9feHxISYss3zxKHDh0KWr16dXhqamrbZs2arS/seIwxxpjTkjMDbx3wJT59sLDDyUyE9jg1hFqo8kcezhOc2nndA1+1cLqTfooz8/APVezFcREgIp8CLlW9/gTPLwZMP6cstUoWl6iHnn6d9ld248pLaurKfxLSD6VwZ0qqTvjPiU6n2veBa4Ce+PSzk7mPM5LIk8DzAC/wOOMrDWLt5qMb+E6ePJmePXsSHx+PiNC/f39eeeWVI/tnz57NnXfeyaJFi3jppZf46aef+PXXX48aY9MmqOpU9WypyrwCvitj/ssvXuBOnEZMoTjlHl7Dp7luPmnMseyTR2OMMcYY81/O7IAPAB/+HIr3F47HgBl5SeABqKKqLFflaaAO0ATnHq8FfgfWizBMhKaBhJ85C8lg8VKMapzcTLykja9z59pXXZEzPh7MI8+8RETJSL779jsZeIW4e7cm65l2Pk0CbgTGApPwy70nEcOZ6kWcZhek4yKrMtlXXnklcXFx7N27lxEjRtCyZcsj+xISErj99tsZO3YsoaGh2V4k07j2ntecWn4R/HID8DdOWYePgRr49HlL4JmTZT/QjDHGGGNMdj4AyuMsQz0tiNAMaAcMO5lxAgm9xao8AdQEmuPMyOuOU2x8tQhDRYixhN7ZQwZLfa/Lu8DTz9OUCwg60XH0Q6ga5XlTwuuQUOEmYmJiCAoKomytS6FMS847R7pl243Wp2lAX5zZOW/hl2dP49qT+U81DdVeQKv9hP+6fY9H09OzPrRUqVI88MAD9O7dmyVLlgDw0EMPccUVV3DJJZfkeJlt24781Wppm1PHWSr/OzAp8GddfNofn+4u3MDM2cKSeMYYY4wxJms+XQ3MB3oVdiiZPAoswllOmy8CCb0FqjwCVAcuAL4FbgGWACtEGCxC/fy6pjm1ZLC4ZbA87BLX4phyMfU6xXRy0Yk+rsGukTJYsp/Olb0e8QdTW18yNMgT07gZXbp0+XdPuUuRoAgPuF7J9myfKj59HrgLeBonmVe0OiirzhnOIwMSEt2ycmX2h6Wnp5OSksKaNWsA+OGHH5g4cSJlypShTJkyvPTSS/z++++UKVOGtWvXHjlv/nzweDgIrM1maGPyj18a4ZfvcRop7QOa4tNegcY2xuQbS+KdCmmHhUWPlmfHjOKFHYoxxhhjTB59AFyHXwr9dYwItYCuwLCCql0XSOj9rspAnOYHrYBpOMmW5SIsF+EZEeoUxPVN/pPBUtPr8v7qFveLQ9oM8czrPc/zje8bJl47keJBxft4Xd7lMlhaHn+kAL+URDxvRDS8Q2f/tpiVK1cyZMgQ4uPjnf2uIFzn3OSG9BvxS/scx/LpWJzv6dtwltcWO+EbPTMtdbtJ/Oabfze8/vrr7Nzp9L7YvXs3ffr0ISgoiIsuugiAefPmsXz5chYvXszixYu55557aNKkCYsXL6ZatWpHxvnqK9KAOapkM8/PmHzgl2r45X2cD5eigMvwaUd8uqiQIzNnKUvinQp/D4tixUsV+b13ddKSis5UeWOMMcacDT4BiuHUjStsDwEbgM9PxcVUSVdljir9gEpAa2A2cD+wUoTFIjwhQs1TEY/JGxksIoPlXtcu11+edz3nx0yOcU15fAqLFi5CRNgxbQd1vqrjDn0/tDo7mCOD5X8yWIJzMfKQ5JTU0hpSRVj9FsW3fUiw6zDFNr8Lq9+CvX9A8j4IqaCI9x38kvOyXZ9+CXQE2gPf45eIfLj9M4IqyWlpjHntNVJSUpxtP/74IzExMRQvXpyYmBh27NjBTz/9RIUKFQAoX748lSpVOvIVHh5OUFAQlSpVwuNxynf+9RdMn447NZU3CuvezFnOL2Xwy6vAKuBCnFqXLfDpT4UbmDnbWXfaHORLd9rErR6+O7chla52selTqP/kZho+syufQzV5YN1pjTHGmDzyy3eAG59eXlghiFAB2Aj0V+XtwoojEIsHuBToBlwPlAb+xEl4fqrKhkIMzwTIYKcLar/6/Xii9ROUK1OOv//+m969e/Puu+/Su3dvfv75Z1atWsVVvqvYfP3m9OS05Ek6SG/MceBJJZ5ZvD7pofsmpIW6BJJSoV9HV1KvVq6U9kNTi6/bqa5iQdCoqqR9/ECxP0g71CrQKCZnfmkE/ADsBDrh0x358Tyc7kSo5nKx5tln8Tz99MmPl54O7Vunsmhe0pa4lOJVbSaeyVfOrPT+wCNAEjAYGItPTyxfYEwenW6dxs4+ix6uiKe40PxtCK0MK16uSI3esYRGpxZ2aMYYY4wxufQB8CF+KYdPdxZSDA8AccC7hXT9I1RJBaYD00W4H2iD0xDjcWCYCPP5N6G3ufAiLfLmAfRp3YdyZcoBEBwcjNvtZubMmVx11VW4XC7OPfdcgpKCcKW5FPjtuKN2S3iuMTw357H/7vop5/Rfzny6BL9ciLN8ew5+6YhPz/p6bqpsFOHhZ5/llTZtkFatTm68YcPgl19hjrYp04I/okG35E/mb6AqAAB1FklEQVSkpkhzurTfDjwLhAPDgVfw6YHCDMsUPbactiDtnhvCPx+XofEwwRsG9Z8AT3EXix6KLuzQjDHGGGPy4BsgEehRGBcXIQK4F3hdlUOFEUN2VElRZZoqdwDlgCuBlcAgYJMIc0ToJ4K9/jv1fva6vHs/Xv4xAKmpqdx333089dRT7N27l8jIyCMHpgenc/jAYRdOR8nC49MNwEU4hfHn4JemhRrPqTPS5WJKp06k/fLLiQ/y+uvwxBPwkj5MC/4ohrP03ZgT5xfBL9cBfwFvAl8ANfDpYEvgmcJgSbyCounw54AqlD5PqR5o6OYNg8Yvwj+fRLHnt5DCDdAYY4wxJpd8mohTh66wutTejfO6tVCX0R6PKsmqTFHlFqAscA1ODb+hwBYRZolwnwjlCjXQIkIHaVpKeop/4tKJKWlpadx0001cc801dOzYkdKlS7Nv374jx27bsw1PqOcXHVQwS1hFpJiIfCUiq0VkiYj8KCI1M+2fICJLRWSx9GRytQd4FlgKzMIv7Y4Z62ERWS4if4vIlyJSMtO+8wPjrxaRGSJSMZt4nhURFZEumbaJiGwQkbjA40EiMi7T/laBc1pn2jZaRIac5NODKumpqXQ9fJjJbduS/txzkJSU+/N37IAe3dLo3x+G8QgDeC1j1/knG5spwvxyCc7s3M9xGleci0/vL8QZ6cZYEq/ArH8vkr3zS9BspCCZnubqN0GppsrCAVXQ/C/P0KJFizr9+vUrsE96mzVrVmfgwIH2SbIxxhhT9HwAnIdf6p7Ki4pQDBgAjFFl3/GOP12okqTKN6r0wknodQW2Ay8B20SYLsLdIkQVaqBnv4/Wx673XtfzOho1asS9994LQOvWrZk8eTKqyp/L/yTBlUCqO/X9Ao7lHaCOqjYCvgbGZdo3QFVjVLUxcNc/e5g4dw1XAZOBKfilG4CIXIbTybalqtYDFuIkiRERF/Ah0F9VawNT4N9sVhYW4iwPzNAO2JPp8UycZi4Z2gC/Z7FtxvFuPDdUOZyWxnWpqTz23HMk1a1Lyquvwp492Z+zciU8/DDUrZnCb1/uYDJX8AjDMx+yPz9iM0WMXxoGasHOAg4CzfFpj6KwvN2c/iyJVxBSE4SlT1WmWi8oc8HR+8QFzUYKe38vwYaJJQslPmOMMcaYvJsJbOPUz8a7CadxxKun+Lr5RpVDqnyhSg+chN6NOMslXwO2izBNhDtEKFWYcZ6l5rlXuWMnfzGZH374gdatW3PddddRp04dLr/8clq1akWPm3rAFaThLJMrEKp6WFWn6L9dBecB1TLtj8t0eATARc+SDPiAMcDH+OU+oBHwq+qRZXxTcP6PADQDUlV1ZuDxGOAqESmWTVi/AjVEpHzg8e3A+Ez75wHRIlIp8Lg18FzgT0SkAlCF3NQRzCVV0lQZnpZG3X/+4d2HH+ZQ2bJorVok9+iB9u0L990HnTuTHl1BU849Fz55fTsDDw7hr9Q6XMH3xw5Z0IlZczbxSxX88i6wBKhIRtdony4o1LiMycQaWxSEZc+VJznOS+MXs94f1RKq9YQlT1WhStd4PCWsRbAxxhhjTm8+TcMvfqAnfnkGXwEsKTiGCG7gYeB9VbYW9PVOBVUO4tRdmyRCGNAZpynGW8BoEX7EaYrxtSpxhRboWUIHqcpgGRs1NOrBy86/7Mh7n6Gzh0JLuKLlFUz6e1K6a5drauozqbGnMLQHcGbjHSEiLwI3AJHA9aqB/2N+eQDYAYwafTsT7xnPxYHE206gJxAmIqVwEmr/ZIynqgdEZD8QDazPJo4PgFtEZAzQHHgK+F/g/GQRmQu0EZFJQHVVnSIiIwOJwTbAb6p6OB+ej6OoshG4S4SBQKe1a2m6YQONPR5KqZKeksJWVflzHHc0vTXl3a7uLBrQ7oQF5eDL/I7NnIX8UhqnMdH9ODOmewEfn4rfc8bklSXx8lvCBi+rR1Wg/pMQmmUJCkfjF+HbOl6WDSlHk2EFUnvjzz//LNa/f//Ky5YtCw0KCtJ27drFv/HGG1tKly6dBvC///0vavz48WW3b98eVKxYsfRWrVrtf/vttzdXqFAhFSAlJYW+fftW+uyzz0qnpaXh8/lymMxujDHGmCLgA+Ah4EKcWTwF7VqgJnD1KbjWKafKAeAj4KNA846rcRJ6Y4F3RJiKk/D7RtWWBZ4E/77D+7o9/8vz7qx2pmt6epqmjc9qX0EQkSdwvq+PqnWnqo8Bj4lIe+AlEblIVZPxqQIv4Jddd7djzNqdzH15Mt8BafybpEo9wXDeA34EEnC+145NWmQsqf0HmB/YNg9oGdg+kwKkSgLwWeArC/8HMv5uoD9QF0Bh+ziIvR9qJEMNhdUFGaM5g/klBOiHk8BLAR4BxuDTPFRkNObUsuW0+e3PAZUIjoK6A3M+LrQS1H8cVo+KJmGDN7/D2Ldvn6tTp06169Spc2jTpk3L5s+fv2LNmjXFunfvXi3jmAoVKqR8/vnna+Pj4xfNnTt3xfr164Pvuuuuyhn7n3766fLffvtt5NSpU1dt27Ztqcfj0SVLlhTP71iNMcYYc8ZYCiznFCypFUGAx4CvVFlZ0NcrbKrEq/K+Kp1xutzeA3iBCcAuEb4QoYcIJQo10DOQDtKlKU+nnHPoyUNVs/pKeiqpug7Sz/PzmiJys4gsDnzdlmn7Q8B1wOWqmphlvKo/AWFAw6N2+HQccP1wH831Qzbph1wK/AxsUdX9wCagaqZrheEszd2WXZyquhUnQTcI53vtWDNxZty1CVwLnDphGdvypR7eSVEdg+q5OPdeU6DKXdAiGdYB34pI5HFGMEWNXzz45Q5gDfAMMBKn4+xIS+CZ050l8fLTjp+Ks+XrUjQdIXhy0Xy27oMQXAb+HFjp+AfnzaRJk0qmpKTIW2+9tSUsLCy9atWqKa+99tqm6dOnl9y0aZMH4NZbb42LiYlJcrvd1K5dO/mhhx7a8csvv0RkjPHRRx+V6dOnz85mzZodDgkJ0REjRmwLDw9Py+9YjTHGGHOGcGYEfQB0wy/BBXy1NsB5wLACvs5pR5V9qkxQ5XKgPNAXJ6nzIU5C71MRuooQWlgxikgtEZkb6IL6h4jUz+HYO0RkjYisE5GxIuLNzb5jxvhZRJJFpGymbeeISLqIfBV4PFNEemXa/5SIHM5cE05EVooc3e21IKjqRFVtHPiaELj2QJx6iJdlroEnIt5jOtW2wKmd+N8lsD796uuF9ADa7j/Ej143L+A0SwGnUYVXRNoEHt8NfJuL5a5PA0+pZlm0/49ALD05OonXA6jAv7PzCp/qJlTXoZoaSJBeA5QAJmX3fWWKGL8IfrkG5wOpMcC3QE18+gw+tdnO5oxgSbz8omnw58AqlL0UKl+fu3M8IdB0hLDlq1LsmJ6vM9w2b97srVixYrLX++/vq3r16iUBrFu3LgjgvffeK9mkSZO6pUqValSiRIkm99xzT/X4+Hh3aqozG3/nzp1B55xzzpFPIjweD9HR0cn5Gacxxhhjzjh+oCRwRQFf51Fgliq/F/B1Tmuq7FVlrCqX4SRNBgJlcJY+7hLhIxGuDXTxPZXGAO8EuqAOA97N6iARqQ4MAS7GWUJaDrjrePuysZR/mziA04hhYabHWXVTXQxcELheBZxmEnOOd3P5LdAcYgTO/52ZgRl6Gd/bXuA9EVkuIotxmrh0VdV9gXOfE5F7Msa69hWGhNzKnsaP0/KBTtQ7ON5ZahqoodcLeF1EVuPUWxxwvNhUdYGqvpPNvhScpfNhqroysG01TlL518D+05KqbsNZon4RZ3BjHJNP/HIRzvfyV8BfQD18ei8+3V6ocRmTR5bEyy+r3ypN3F+hNHsNRHJ/XuXroeylTgJQ82+SW+XKlVO2bdsWlJLy7+/VFStWBAPUqFEjed26dd7bb7+9xj333LNry5YtSxMSEhaNHj16A0BG06xy5colb9iwISjj/NTUVLZv3x6EMcYYY4oun27GmZFTYEtqRWgCdACy6RJWNKmyS5XRqrTB6Zz4GFAJpy7aLhHeF+EqEQp0lmRgNtx5OLMyAT4HKmeeTZZJV+AbVd0R6Mw6Gmc22vH2ZeU94JZADC6c+oH+TPuPJPFEJAiojlNfsHVgf2tgXkE0YjgeVd2iqqKqNTLN0Ds/sC9RVS9S1QaB7Rep6oxM5z6jqqMzPW54KFlrrn+NmsN9xIcGMwe/1Ars+01VY1S1tqq2VtXN2cTzrKr2z2L7RlUtecy2Tqpa4ZhtFVS108k8J6eCqi4EbgbuE5H7CjseUwj8Ug+/fI2TwEsBLsCnN+BTq5VozkiWxMsva94uj8sDc3spkxvk/mtKQ2X/aohbGsqOGfk2G++GG26I83g82rdv30oJCQmyadMmz4ABAyq3adMmvkqVKqn79+93p6enU7Zs2dTQ0FBdtmxZ8PDhw4/65dy9e/e9b775ZvlFixYVO3TokDz88MPR8fHxWRYENsYYY0yR8gHQGX+B1Zp6FFgCTC2g8c94qmxXZZQqFwOVceo61QS+AXaKMEGEy0UoiGWElYHtqprqxKKKU4+tShbHHtUxFdiY6bic9mVlM7BDRM7HSfIuAPZl2v87EC0ilXFm383HSThnLC89PWq45RefbgRaAXuBOfilWeEGdHpS1c9wlgy/LiKXFXY85hTxSyX88n/AMpyE/hVAG3xapGd3mzOfdafNL41e2MSun8NO+Hx3SDrl2x7Mr3BKlSqVPmXKlNX9+/evXKlSpUZBQUHpbdu2jX/jjTe2ADRp0uTw448/vvWuu+6q1qtXL3ft2rUPde/efe/y5cuP1FYZMmTIjn379rnbt29fJz09HZ/Pt6dRo0b5FqMxxhhjzlifA28CNwBZLsM7USLUCIx7kyqan2OfrVTZArwGvCZCVZznrxswBYgV4UvgE2Cm6gl3MT1djAfuACJxvvcqZuxQ1WQRmYMz46468LOqrhORSoG6eK0D5549fLobv7TF+T/5M37pgk9/KuywTkNDgXrApyJyQcbSYHMWcj5cehR4ANgF3Ar48WW97E1EgnGWuncEDgNLVLVX4GfGxzjfN4cCY92bVe1IEenI0fVbywI7VLVpYH8kMApojjMb8NtAN+pjx7kdpwN8EnCHqv4Z2P4csFJV/ceeY4oeyVg6af5r4cKF53g8nhm1a9feHxISYrXgzhKHDh0KWr16dXhqamrbZs2a/bdgsDHGGGOOzy+fABXw6SX5OawIbwGXA7XOgoRToRLhHJxkXjegCbAHJ9nzCTBblROq5RJYTrsWKKWqqSIiwHag1bFvcEXkYaCGqt4TeHwF8ISqtsppXxbX/BknUfkDsArnTW5dnKWS16rqtYHjnsCZkVgd5w33ShH5MHDeaCBSVc++1/V+CcKpS9gVuAmfflK4AZ1+RCQEZ2ZmKeB8VY0t3IhMvvJLMeB+4AlAcRK3b+HLefm8iLyKM7mpn6qqiJRX1R2BJF5b4PvA9vtxalW2Pl4oIvIdMFNVRwQefwnMUdWXA4/Lq+qOLM7bADQAmgXi6RpoGjQ042ecMbac1hhjjDHGnIgPgIvxS7X8GlCEcjjNCl62BN7JU2W9Ki+q0hSog5MEuxBnSelWEUaJcLFI3t4TqOou4E/+rYt4PbAlm+6mnwNXi0j5QLLvHpzZLcfbl921D+M0a+gXaORwrJlAe6BqptlWs3CWU845KxN4AD5Nxvn3eBv4CL/0LeSITjuqegi4FigGfGYda88SfnHjl1uB1cBzOMn6Gvj0lVwk8IrjzM59MlAWgIzkmqoeVtUpGduBeTiNcXIkItFAO+D9wOOaODVEX8k4JqsEXkAazvdncSA5UPvzVZxZhcYAlsQzxhhjjDEnZipOLS5fPo7ZDzgATMjHMQ2gympVhqoSg7M87G2cWSazgc0ivCbChXlI6N0N3B3ogvoYcFvGDhEZJyJXO9fV9cAgnI6wa4HdOJ1tc9yX873oF6r6Qza7/8BZajs/07ZZQC3Opnp4WfFpOtAfZybSSPwyBH9eOu6d/VR1O07H2vOBNwLJY/DLrfglHb/cUpjxmTzwi+CXzjj1U/8PZ7ZtLXz6BD6Ny+UoNYBY4AkRWSAiv4hIu2yOfQD4Ohdj3gpMCXzYAc7P2y3A2yKyUESmiUiTbM59BPgR52fqc0AfYLKq/pPN8aYIsuW0OcjP5bR/7/47qE7pOslul/WFKGy2nNYYY4zJJ355EycRVA/fyb2oFCEMpznCK6oMyY/wTM5EEKA+TpfX7jiJrs3ApMDXH1aX8AzllztwagaOB+7FpzazNRMR6QJ8AfTTD/EjnnUElYwgOS4OTa2Bz5bantb8cgFODbpLcLpzP4lPV+R1GBFpCiwEblHViYHk2o9AfVXdmem4J4CrgHaqmpjDeAKswZkpPCWw7TrgU6C9qs4UkcuBcUA1VU3JYazKOP9/OwFDcBKOa1X1ybzepzm72Ey8Apau6Qz+eXDZxqMbN7x4wsW1N8ZttGnbxhhjjDlbfIBTl6xpPox1F+DFaZhhTgFVVJXlqjyNs9y2CfAh0AWn0+t6EYaJ0DSQ8DNnCp/+H86/Yy/gU/wSUsgRnVZU9UucGYuvrdouHxJUsjidFoA3ogTIi4Udn8mGX+rily+A33ByGRfi0+tOJIEXsAlIx/m5h6ouAjYADTMOEJGHgOuAy3NK4AVcirMcNnNn9U3AVlWdGbjG90AQUPU4Y70ODMRpyBOtqt2BSiLSJsezzFnPkngFaOv+rZ4277WpNWT2kMr9zu/HroO7SjQd07T+R8s/iijs2Iwxxhhj8sE8YB3/1kY7ISIE47xZeUcVmwFTCAIJvcWqPI7TGKI5zuyR7jgzVVaLMFSEGEvonSF8+g3QAScJMBW/lCzUeE4jgaYFnSNCie/5pnb8aGsPz8z562n5QqTn0iF6Z+kSskBEahR2nCbAL9H4ZQywHKiNMyvuEnz628kMq6p7gOk4nWkRkeo4TXFWBB4PBG4ELlPN1RLdO4B3VY/qhLsQ2C8iMYExWwCCM+s5SyLSHVihqstw6uNlzIhOB0rk9v7M2cmSeAXkyxVfhjce07j+xriNYbNvm83LHV5m0d2LpHPtzm7f576at319W+VDKYfsBZAxxhhjzlzOEtoPgBvxi+ckRuoJlMUp4G0KWSCht0CVR3De0LYEvgVuwak/tUKEwSLUK8w4TS749BecJYc1gNn4JbqQIzpdJD3ThfaxY707p71ysT4y/Ctq1qzJjF+XMOuN1mljerujXMLzhR1kkeeXCPwyFKdm5hXAnUAjfPrdyZZwyOQe4GERWQZ8BdytqltFpBIwAigJzBSRxSLye8ZJIvKciNyT6XEEzoy98ZkHDzTGuAUYKyJLcWabX6+qSVkFIyKRwH1wpKzED0DpwLmlAo9NEWY18XJwIjXxklKTpP8P/aNHLxxd/oZ6N/DOVe9QsljJo475YOkH3Dv5XiqHVz704fUfrm9SvkmOXXNM/rKaeMYYY0w+8kstnK6AnfDp1OMdfqxAI4W/gd9U/22OYE4/gX+rljiz824AygN/AZ8Ak1RZVYjhmZz4pSrOEr9goCM+XV3IERU+vzyEeIZtbTLDddeDLzJ58mRn+/5V/DSsXvpjH6UvWrBezyvcIIsovwTjNHV4Cmfi0QvAKHx6qFDjMuY0YDPx8tFfu/4KbjGuRd33lrxXfuxVY/mk6yf/SeAB9IrpxaK7FxHqDS120f9dVO+1ea+VTtf0Ux+wMcYYY8zJ8ukanPppJ7qk9hqcemwv5VtMpkCokq7KHFX6AZVwlmnOBvoCK0VYLMITItgyxNONT/8BWuF0AJ6DX5oXckSFyy9V4hJdQy55OdoVc9G1dOnS5ciuAxLNk9+Ud/3fXa4G+KVyIUZZ9PjFjV9uAlYB/8NpAHEOPh1uCTxjHJbEyydvL3i71Pnjzq+nqiEL71pI76a9kRw6utcsVZO5d8yVvi36yoCpA6pd/dHV5+xJ3GOta40xxhhzJnofuA6/5KlWT6C22qPAN6qcaGFyUwhUSVNllip9gGigPTAfp7bhWhEWiPCICNUKM06TiU/34HST/hOYiV8uK+SICo+43ygZVcU9e/4qVq5cyZAhQ4iPj+fQoUN06dKFp4a8TqO6lVyIe2Rhh1ok+EXwSyec7813cerU1cKnj+LTfYUamzGnGUvi5YMbP7uxap/Jfarf3uR21/w758u5Uefm6rwgdxDDLhvG1F5T+WPbHyUbj25cf+nOpcEFHO5paeTIkaXLlSsXU9hxGGOMMeaETMLptndtHs+7BDgfGJbfAZlTR5VUVaarchdQAeiEUzvvcWCDCL+LMFAEm9VU2HyagNMU4GtgMn65sZAjOvX80iE5Je1qLVHDy7LnKL72JYI5QLFVQ7mufQNuaxvKVdX+hLBaXjTt2iKd7DwVnFmh04HvgY1ADD69A59m2/jBmKLsZAoQm4BdB3d5L6lyCSMvP7EPajrU6MCbV7wpN3x6gzfEE3JWFSlMTU1FRHC7T80kw8OHD0uxYsXOqufQGGOMOe35dDd++QFnSe0HeTjzMeAXVeYWTGDmVFMlBaf22lQR7gUuA7oBg4ARIszFqaH3mSrbCi/SIsynyYEli7sAP36JwqdFacbZyiWbvWvue25GRZfMIDkVebSTO/a11151z/kztey+XRsOvzHhO+pES9J79wZvJT1pZWEHfFZy6qkOxamvORe4GJ/+WrhBGXP6s5l4+aDLuV32/bblN+IOx53wGFPWTKFh2YaJtUrXylUDjexs3rzZ0759+xphYWGNK1Wq1PDtt98uJSLNvvvuuzCAGTNmFG/RokWdkiVLNo6Ojm74wAMPRKekpBw5X0SaDR06tGzTpk3rhoaGNqldu3a9qVOnHrU0ZtSoUaXr1KlTLywsrHHNmjXrv/POO5EZ+7777rswEWn2zjvvRFarVq1BaGho061bt3rGjx8fWb9+/XPDw8MbR0ZGNmrbtm3NlStXBgH88MMPJR5++OGqu3fv9oaGhjYJDQ1t8vbbb5cC+PPPP4tdcskltSIjIxuVK1cuxufzVd27d++RjGCLFi3q3HzzzVU6d+58Tnh4eOPbb7/dPuE1xhhjCkMyH7KIywiXVxF5DpFLsjxOpAoija+Wby7BmbFls/DOUqokqzJZlVuAcjj1DzfivHHfIsIsEfqIUK4w4yySfJqOs/T5MeB1/DIUfw61gM4mPt3U/Mnk2vPXpheftya9+J8b0kPvGJNS6VF/SoX9h9Q9b42z/b1ZaaXocbihzQjLZ34pj1/eAlYADYEuQCtL4BmTO5bEywfd63ePU5RvV317QuenpKXw9cqvubrO1bEnG0u3bt3OSU9Pl/Xr1y9btGjR35999tmRBNuSJUuCO3fuXLt37967du/evfjnn39e9cMPP5R86qmnymceY+LEiWUmTpy4IT4+flGrVq0O3HbbbdUz9o0cObL00KFDo8eOHbsxLi5u8ZtvvvnPwIEDqx2b6Pv0009LzZs3b0V8fPyi6Ojo1PDw8LRx48ZtjI2NXfz333//BdCjR49zADp16pQwfPjwf6KiolISExMXJSYmLrr33ntj9+3b5+rUqVPtOnXqHNq0adOy+fPnr1izZk2x7t27VzvmWqVvuummvfv27Vs8ZsyYLSf7HBpjjDEmj0QacRsv8DIuDtAfeBqYhcifiFQNHNMBkXnAP8CiL7ju5+/ptD+JIOtoWgSocliVb1TpCZQFugI7gOHANhGmi3C3CGUKNdA8EJHSIrI409dqEUkVkVKB/U+IyCoRSReRa3MYp+Mx42wTkT8z7f8ssE1FpGQO49wuIn+LyCIRaZpp+3Mi4vvPCT5VfDoMuB2nNuVY/GIrtUzB8Es4fnkOWIeT0L8HaIhPv8KntpLKmFyyJF4+iCoeldayUsv9n6/4/ITOn/XPLGIPx3JjgxvjTiaOdevWeefNmxc2fPjwLVFRUWlRUVFpL7744taM/a+++mrZdu3axd111137vF4vtWvXTu7fv/+Ojz766KgXS3379t3ZoEGDJK/XS58+fXZv3749aPPmzR6AUaNGlRs4cOD2Sy65JNHtdtOxY8eEzp07x44fP7505jFefvnlLeXLl08LCQlRj8dD165d97ds2fKQx+OhQoUKqUOGDNm6ZMmS4vv27cv2e3DSpEklU1JS5K233toSFhaWXrVq1ZTXXntt0/Tp00tu2rTpyAuM9u3bx3Xv3j3e7XYTFhZmbX6NMcaYU8lJWPwEVM9ibxNgGiJdceodnZ+xw0OadGJqeBApcxGxbqZFiCqHVPlCle44Cb0bgX3Aa8AOEaaKcIcIpQozzuNR1b2q2jjjC3gH+F5VMz6Y/wm4HKeDb07jTD1mnD+BDzMdMhponIuQngaaAw8ATwCISH0gRlX92Z7l0wk4s6F6Ap/jl5BcXKtIEpGRIrIxkFBtnGl7jgndY8ZoKCKzRWSliCwXkfEi/z7nInK+iCwJjDFDRCpmE8uzgTi6ZNomIrJBROICjweJyLhM+1sFzmmdadtoERlycs9MDvwShF/64STv+gFDcJpWjMOnqQV2XWPOUpbEyyfX1Llm3w9rf+BA0oE8n/v5359Tt0zdw/XL1k86mRj++eefIIBatf5dklu7du0jf1+/fn2xadOmRYaFhTXO+Hr44Yer7tmzx5t5nEqVKh05JyMpFh8f7wbYtGlTsUGDBlXOPMY333xTaseOHUeNUadOnaOWBU+ePLlEy5Yta0dFRcWUKFGiSceOHesCbNu27ajzMtu8ebO3YsWKyV7vv4fUq1cvCWDdunVBGduqVq16UkuQjTHGGHNS7oajZ08l42UJMXxED8ZxR+13uHP8TFq7YonM6vwonOSDKYJUOajKJFW64iT0bgYOAW8BO0WYIsItIpQszDhz6Q7g/zIeqOp8VV2flwFEJBpoh9PxOWOcn1R1Vy5OTwOKAcWBZBFxAa/iJPVy5tNvcToMXwJMwy9Z/mc1fAa0wplRfEQuErqZHQbuV9W6QCOcf69HAQL/Zh8C/VW1NjAFJ7mdnYU4MykztAP2ZHo8E2id6XEb4Pcsts3I4Ronxi+uQOOUlTgzbt8DauDTF/FpYr5fz5giwpJ4+eTGhjfGpaSnMGXNlDydl5aexucrPtfOtTqf9FLajGTWmjVrjiS4Mv+9bNmyKVdffXXsgQMHFmd8JSQkLEpMTFyU22uULl065aWXXtqUeYzExMRFs2bNWpv5OLfbfWRK9OHDh6Vbt2612rdvH7969erlCQkJi6ZOnboSQAMzp12u/34rVq5cOWXbtm1BmWv2rVixIhigRo0aRxJ3LpfLpl8bY4wxhecSgFTcfEtnrnV9Qwk5SGOWcJPrQwaGjOaBoLfD2jKT0sTS0LuCVxjAHo6axH8jzptXU4SpckAVvyrX4iT0bgfSgbE4Cb1vROgpQnhhxpkVEbkQiAS+O8mhbgWm5DJpd6xHgB9x6tw9B/QBJqvqPzmelcGnc3ASVNWB2fgl+gRiOKup6mxVzU35nqMSuseMsUZVlwb+ngb8AVQL7G4GpKrqzMDjMcBVIlIsm+v8CtQQkYzySLcD4zPtnwdEi0ilwOPWON8brQFEpAJQBfgtF/eUe05H3wU4CcnZQG18+hA+3Zuv1zGmCLIXS/kkOiw6tXl084S8Lqmds3kOuxN3S48GPfadbAw1atRIadGixYFHHnmk4p49e9x79uxxP/7440emX/ft23fX999/Hzl+/PjIw4cPS2pqKsuXLw/+7LPPcv1C6J577tk5fPjwCrNmzQpNS0vj0KFDMmvWrNBffvklNLtzkpKSJCkpyRUZGZkWGRmZvnHjRu+TTz551LTw6OjolLi4OM+OHTuONK244YYb4jwej/bt27dSQkKCbNq0yTNgwIDKbdq0ia9SpYpNvTbGGGNOD4fn05zmnkVczbfsv6gTb4/1smwZHDrsYn+ih8TDbrZsgW+/hQtvrc2gkJeo7t7ESPqS5rwcDQKynZ1vih5V4lV5X5XOOE0x7sH5PnkP2CXCFyL0EKFEjgOdOncAE1VPfHmgiAhOEibL5M/xqOoXqtpUVS8FDuLUHRslIi+IyCciMvS4g/j0L+BCnP+Pc/FLnROJpSjLS0JXRIoDvYGvA5uqkGmWn6oeAPYDOSVUPwBuCdRLbI7THTrj/GSczq9tRCQYqK6qU4BKgcRgG+A3VT2c6xvMiV+a4ZcfgWnAdqARPr0VXy4TycaY47IkXj66ps41sVPWTOFQyqFcn/P5359zTuQ5Sc2im+XLD85JkyZtUFWpXr16w0aNGtXr3LlzHEBISEj6pZdemvjNN9+s/r//+78yFSpUiImMjGzctWvXGhs2bAg6zrBHPP3007see+yxbX369Kka6HAb8/DDD1dOSEjI9nspIiIi/ZVXXtk4YsSICqGhoU06duxY67rrrjsqaXnVVVftb9++fVzdunUbhoWFNR49enSpUqVKpU+ZMmX18uXLQypVqtTovPPOq1e9evWkTz75ZMMJP0HGGGOMyTciSHt+TLqAeZS8oC5//QUzZnu54w5o0AAyKmKIQMWK0LkzjHnHxfZdHh54LJQH3a9xqXsO26iwGNWTKitizl6q7FNlgiqdgPJAXyAMZ5bPLhEmidBVhGw/VC5IIlIC6MbRM6BOxKU4y2GnHu/AXHgdp/tsayBaVbvjJG7aHPdMn27CmZG3A5iDX1rkQzxFSa4SuiISBHwCTFPVL0/ieu8Bt+DUNJyEM3s1s4wltecD8wPb5gEtA9tncrL8UgO/fIQz+y4caINPr8Sny056bGPMUUStEUy2Fi5ceI7H45lRu3bt/SEhIcetu7YxbqO3+uvVY77s/iXX1r32uOOnazpVXq2i15173Y6Rl4/clh8xH2vu3LkhF110Ub2NGzcurVq1asrxzzj7HTp0KGj16tXhqampbZs1a5anOiXGGGOMcYggwHARHfjaayJ9+zrJurxYuhSuvjyFA7sPbYtNCW+iyoksITRFlAhlgetxEmiXAonANziJjB9UyZ/ZRceNQ+4AblPVVtns/xl4TVW/Os447wP/qOpT2exXIFJV444zTnecZhZPisjVQBdVvU1EJgBfqOq3x7snAPxSHKcG3MXA9fg0P5KLZwwRuRknEQrwuqpOyLRvI3Ctqi4+5pwSODPQmqvqyhzG9uJ8n+4B7tLAm3IRaQ68H6iXh4iEBY6JOHa2nIg8C5RU1f4i8j3OUtwLgVRgsaqWDBx3Ic5svfeAnao6WkTuBCrjNJW5VVXn5O3ZCfBLWZyapvcA63Eaqnxh3WaNKTjWQjwfVStZLaVJ+SYHx/45tnio9/gfBG6M28jWA1ule/3uJ72UNsMff/xRLCkpydWyZcvEjRs3egcOHFj5/PPPP2AJPGOMMcbks57Ag++/L/TseWIDxMTAL/O8tGzpLevZiV+EDqr/mUViTJYCSd+3gbdFqICT0OsOfAkcEOFrnJlOP6pSkDM978Cp23cUEXkKJ7kRBTQQkVFAE1XdLSLPAdtUdXTg2AjgOqBhFuNMxmmAAPCXiKxR1dZZBSIikcB9QIfAph+A3iKyFNgQeJw7Pj2IX67GmWH4HX65BV8OXW7PMqo6EZiYx9O6A0uOk8DzAB8DsWRK4AUsBLwi0iZQF+9u4NtcLHd9GmiqqmtFpNox+/7AqTHZE7g6sG0WznLfCvw7Oy/3/BKGk+B8CEgA7gfG41N7z2lMAbMkXj67ps41sc/OerZ4bhtcVA6vnNyycsvcr789jn379rnvuuuu6jt37vSGhoamn3/++Qfefvvtzfk1vjHGGGOMCFXdbsbcdx8nnMDLULkyfPYZnosuoi3OG8GR+RGjKVpU2Q6MAkaJUAnoipNQ+RaIF+FLnITedFXyNdGgqhdms/154Pls9j1zzON4nC6lWR17ZR5i2Ueg2UzgcTL/Jm7yzqcp+OUWYBfwIX6Jwqevn/B4ZzgRGQNcibOse6qIHFDVmpkOyS6hmzlp2x0nYbsUWOSUQmSOqt6nquki0gsYE6hZtw246XhxqeoCnKWsWe1LEZFfgUYZyUVVXR2Y5ferah4Sb37xAncCg4AQ4EXgNXx6MNdjGGNOii2nzUFel9MCJKUmSUJy9vXhjuV1ezU8ONw+cT6FbDmtMcYYc3JEGFWxInetWYM3JCR/xnz0UXjlFfalphJ9qpZBmrOfCFWBG3ASJ+fhzH76Amcp40xVrFlabvnlYeAlnMTNE7ZksgjxiwsnMT4UqAq8CQzFp3sKNS5jiiBrbJHPgj3BWjq0dFrmr1LFSqXtmrqruHuX23XsPkvgGWOMMeZMIkJJt5veDz74bwJv8ODB1KhRg4iICMqUKUPHjh1ZvHjxMecJISEhlChR4sjXsmX/1jx/4AFQJQJnyZcx+UKVf1R5WZXmQA1gOE7tsGnAdhFGi9BGBHehBnom8Olw4DbgYeD/8Iut6ioK/NIW+B1nCfA8oA4+HWAJPGMKhyXxCpimK9/e+W3lSddNqjXh4gnn7l2zN9edYI0xxhhjTkOt09IIvvnmfzf06NGDBQsWEB8fz7Zt2+jQoQMdO3YkLS3tqBO//fZbEhISjnw1bPhv+a/oaOjUCVwuOp+qGzFFiyrrVXlRlaZAHZwOrhcCM4CtIowS4WIRe4+ULZ++C1wL9AC+wC+F0hHYnAJ+aYxffgCmA3uBpvj0Jny6oZAjM6ZIs19QBSgjgbf43cVlr3jzCoIjgj0T206sa4k8Y4wxxpzBWpxzDsmlS/+7oU6dOkRGRgKgqrjdbnbt2kVsbGyeBr7wQlweD1nWFzMmP6myWpXnVYkB6uE0yGgLzAY2i/CaCC0toZcFn34HtAdaAdPwS2QhR2Tyk1+q45cPgEVAGaA9Pu2E7+hOvMaYwmG/lApI5gTedR9eR/M+zbllxi1iiTxjjDHGnOFqNGrEf17HTJ48mZIlS1KsWDEGDhzIgAEDiIqKOuqYXr16Ubp0aZo2bcrYsf+p/c6550JyMmVFKFZw4RtzNFVWqDIYqI/THXY8cAUwF9gowssitBBBCjPO04pP5+Ik8aoCv+CXioUckTlZfimDX14DVgEX4NSRbIFPpxdqXMaYo1gSrwAcm8Br0KMBAMXLFrdEnjHGGGPOdB6v978br7zySuLi4ti7dy8jRoygZcuWR+3/6aef2LBhA9u3b+f555/nkUce4e233z7qmKB/XxlZfTJzyqmiqixX5Wmc5bZNgA9xOon+DqwT4UURmlpCD/Dp3zjLkd3AXPxSt5AjMifCL8Xxy5PAeuBGoD9QD59OwqdWv92Y04wl8fJZdgm8DJbIM8YYY8yZLIpd6bu2p2X7xq5UqVI88MAD9O7dmyVLlhzZ3q5dO0JCQggKCuKKK67ggQce4P333z/q3N27weUiFaw7rSlcgYTeYlUex2mI0Rz4HCfJsRBYLcJQEWKKdELPp5txZuRtB37FL+cXckQmt/zixS93A2uBx4CXgRr49C18mly4wRljsmNJvHx0vAReBkvkGWOMMeaMIyKIjBjE4K5/Lkx3pecwPyM9PZ2UlBTWrFmT7TEulwtVPWrbH3+Ax8MyVdKyOc2YUy6Q0FugysNANaAl8C1wC7AE+FuEwSLUK8QwC49P9wLtgPnADPzSqZAjMjnxi+CX64HlwCjgM5zk3XP4NKFwgzPGHI8l8fJJbhN4GU51Iq9ixYoNX3nllTIFeQ1jjDHGnNX6AgMvZC77E7389tu/O15//XV27twJwO7du+nTpw9BQUFcdNFFAPz5558sXLiQ5ORkUlNTmTZtGq+99ho33njjkTHS02HKFFKSk5l1Km/KmLwIJPTmqTIQqAJcDPwI3AX8JcJyEZ4WoU6hBnqq+fQgcA3ObMVv8UvPQo7IZMUvlwLzcBJ3fwJ18WlffLqrcAMzxuSWJfHyQV4TeBnOtBl5qamppKXZB+PGGGNMkSPiBh4EaMximnkW8/qr/74m+PHHH4mJiaF48eLExMSwY8cOfvrpJypUqADA1q1b6dWrF6VKlaJMmTI8/PDDvPDCC/Tr1+/IGN9/Dxs34gXGndJ7M+YEqZKuyq+q9AMqAa1xutv2BVaKsFiEx0WoUZhxnjI+TQFuBV4DPsAvAwo1HvMvv8Tgl8nAz8AB4Dx8eiM+XVe4gRlj8sqSeCfpRBN4GfI7kffCCy9EVa5cuUHx4sWblC5dutH1119f7ZJLLqm1ffv2oMcff7xKaGhok5o1a9YHJyn39NNPl6tWrVqDsLCwxg0aNDh30qRJ4Rljfffdd2Ei0uydd96JrFatWoPQ0NCmW7du9YwfPz6yfv3654aHhzeOjIxs1LZt25orV648End6ejpPPPFE+QoVKjQMCwtr3L1796pXXHHFOddff321jGP27Nnj7tmzZ5Xo6OiGJUuWbHzppZfW/Pvvv0/rJKYxxhhThJXDmXWEAA+mDuPzL4Q5c5yd3333HTt37uTgwYNs376db775hvPOO+/IyVdddRUrVqwgISGBuLg4lixZwj333HNk/+HD8Ogjmur18qMqf53KGzMmP6iSpsosVfoA0UB7nOWlDwJrRVggwsMiVCvMOAucT9Px6cPAw8Ar+GUYfim6NQMLm1+q4pf3gMVABaADPm2PTxcWbmDGmBNlSbyTtH/Lfs+i8YvKntfnvDwn8DIUL1ucGz69QfZv3e+d/8b8E17yumzZsuAhQ4ZU+uKLL9YePHhw0fr165f17t17z+zZs9dUqFAh+X//+9+mxMTERWvXrv0LYMiQIeXeeeedch988MH62NjYxf369dvRs2fPmr/++mto5nE//fTTUvPmzVsRHx+/KDo6OjU8PDxt3LhxG2NjYxf//ffffwH06NHjnIzj33rrrdJvvfVW+Q8//HB9bGzs4gsuuODgtGnTSmbsT09P58orr6xx4MAB96JFi/7evn37knr16h266qqraiUlJdkveWOMMeb0k6D8W6euBx/TQX6iV/dk4uJOfvDHHlU2rjrsvjll3KCTH82YwqVKqirTVbkLJ3HSCVgKPAFsEGGeCANFqFyogRYkn76MUzPwQWACfsmip7UpMH4pjV9GAKtxlnz3xJl992PhBmaMOVmWxDtJ4ZXCUxvd3GjXgrcX8NenJ/bBceKeRD7r/pmGVQhLaX5f8z0nGovX61VVlcWLF4fExsa6IiIi0i+//PJsi5O+9957Uffff/+OVq1aJXq9Xu666659l1xySfxbb711VCLx5Zdf3lK+fPm0kJAQ9Xg8dO3adX/Lli0PeTweKlSokDpkyJCtS5YsKb5v3z4XgN/vL92jR489bdu2Pej1ehkwYMCeunXrHsoYb+7cuaF//vlniffff/+fcuXKpYWEhOgbb7yxdevWrcE///xz8RO9f2OMMcYUDIEW05wlWBmPmZB+M0k74+jYLoW9e09sXFUYMgReHymMTrtTxnGn1dEyZxVVUlSZqsrtODNaOwOrgEHAJhHmiNBPhOhCDbQg+HQicDXQDfgSv4Qe5wxzsvwSil8eA9YBNwMP4dS9+wif5tCOyBhzprAk3kkSl3DNhGs2x/SM2fX5jZ/nOZGXuCeR99q+p4f2Hkq9ecbNK8vUKXPC7bzr1q2bPG7cuPUTJ04sU7Vq1ZgGDRqcO2bMmFLZHb9z505vzZo1kzJvO+ecc5K2bt161LLWOnXqHBXT5MmTS7Rs2bJ2VFRUTIkSJZp07NixLsC2bdu8ADt27PBWrVr1qHErVap05PGKFSuC09LSpFKlSjFhYWGNw8LCGkdGRjYG2Lhxoy2pNcYYY04TItJYRKYCPz4Jy1JgX8a+8uxkZurFbF+6m/ObJjNzZt7G3rkTbuyexqBn0nmLe+nFh+DU0zLmrKRKsiqTVbkFJ6F3LbARGApsEWGWCH1EKFeIYeYvn04B2uJ09P0Rv2T73sScBL948EtvYA3wFPA6TsfZN/DpCb+/NMacfiyJlw9ONJGXnwm8DL169Yr75Zdf1sTGxi7u37//jnvvvbf60qVLgyWLUhTlypVLWbt2bXDmbRs2bAiuWLHiUXG43W7N+Pvhw4elW7dutdq3bx+/evXq5QkJCYumTp26EkDVOax8+fIp//zzz1Hjbtmy5cjj6OjoFK/Xq3v27Fly4MCBxRlfhw8f/vPuu++OPdnnwBhjjDEnR0Sqisj7ON0LSwPtFqhe4oXmgJ/A0to6rGZe6nmcu+VH2raF7jekM2uWM8MuO5s3w3PPQd2aKcz9cieTuZJ7GZ2xuzhiy+7M2U+Vw6p8rUpPoCzQFdgBDAe2iTBdhLtFOOFSO6cNn84DWgGVgV/wS6VCjujs4RfBL9cCy4DRwNdATXw6CJ/uL9TYjDEFwpJ4+SSvibyCSOAtWbIk+JNPPomIj493eb1eIiMj0wDcbjdRUVEpq1atKpb5+Jtuumn3m2++WX7u3LkhKSkpjBs3LnLWrFkR99xzT7ZLepOSkiQpKckVGRmZFhkZmb5x40bvk08+WTHzMTfeeOPeTz75pPSsWbNCU1JSeP3110uvXLkyJGN/x44dE2rVqnXo5ptvrrJ161YPwO7du93vvvtuyQMHDtj3pDHGGJPf/CJ8HPw1n4T8jF882R0mIqVEjtRRuhDwAS1UdQYAqutQ7Qncn3FONNv5Jr0zn3Md675aRuvWULVCMtddm86gQTBiBLz4IvTuDefFJFG1qvLGkH3cmzCcv1Nrczk/ZA5hCaopBfAMGHPaUuWQKl+o0h0noXcjEIfT5XWHCFNFuEOEM3cWm09XABfhrMafi1/OLeSIznx+aQX8CnyJk8Srh0/74NMdhRuYMaYgZfsizuRdRiIP4PMbPy8LUP+G+v85riASeABJSUmuYcOGVejdu3d1VZUKFSokjxo1akP9+vWTnnzyyW0PPfRQlbCwsDIVKlRIXr169d+DBg3amZaWJj169KgRGxvrrVq16uGJEyeuu+SSSxKzu0ZERET6K6+8snHYsGHRTz31VOXKlSsn3XfffTtnzZoVkXHMfffdt3fLli3e7t271zx48KDr8ssv39emTZv44ODgdACPx8PMmTNXP/zww9EtWrQ4Ny4uzhMeHp7aokWLhK5du8bnx3NhjDHGmKPcRHrK1YgrHScB91rmnSISAvQFHgdScTpLjlbNdhnWuzg1vcqD8678Or7kutQvWUwjvt55DUu+acLH3zfioBbHI6lUS19Pq9QFPM4vXJX6LUFkmasbng/3aswZS5WDwCRgkghhwFU4NeXeAkaLMC2w/ytVzqzXzT7dHEg8fQf8il+uDMzSM3nhl/rACzj1Bn8Gzsen8ws1JmPMKSOa03qHIm7hwoXneDyeGbVr194fEhKS60Sbpitf3/Z15aUfLi17/UfXH5XIK6gE3umubt269bp06RL7v//9r9A/GTp06FDQ6tWrw1NTU9s2a9ZsfWHHY4wxxhQov5RCPGupcUdJgssIf794CE2rhU+3iogbuAkYgrNs9hXgJdXjL8P6QuTKC+Hb8k4O76SkAx/AHzertjjZsYw5G4kQAVyDk9DrACgwFfgE+FaVM2fppNPgYhJOrbzr8en3hRzRmcEvlYFncWqHLgceBabiszf0xhQltnSxAGS3tLYoJfDGjh0bmZCQIImJiTJ48OCy69atK9azZ899xz/TGGOMMflBRIqJyJz6j7C82VNa8qNV5wn1n4SQip55a2W8iKTiLJv9P+B7oKaqPpWbBJ6IeK6HR+vC2jhnZt9nwIo8hvgP8CHwXBd44BZoLiLX53EMY4oEVeJVmahKZ5ymGPcCQcB7wC4RvhChuwjFCzXQ3PBpItAFJ5H3DX65qZAjOr35JRK/DMP5ed0OuAVogk9/sASeMUWPLactIMcurT287zDzR80vEgk8gAkTJkQNHDiwanp6ulSrVu3whx9+uLZBgwZJxz/TGGOMMfkkaefbPFI2nF/j679Ng86DufGm3tBitHfE/67oULoE7E1gO9BZVfOagHsSOD8ezi+puhh4EwCRJ9LhMReEZY4DONLgSiFNnNlDd6F6EJxK7CLSAPg/EflTVTec8F0bc5ZTZR8wHhgfaHzRBeiO03QmSYTvcBJkU1TJtkxOofJpCn65DdgJTMQvZfHpiMIO67TilxCcD0mewJmw/ATwFj6191TGFGGWxCtAmRN53939Xdmw6LAikcADmDt37urCjsEYY4wpyvRD3Ih3DFEXpiWUvtwdE/MVANOWu6ldpzZu15rDs1boc9vj8pbAE5GLgWeAAeok8DJdVF+oJrKmGUx6G+4v7xRb/wVolg7n3QsvL4Zhv6sOyWLo/jjNND4WkYtzqMdnjAlQZQ8wFhgrQlngepyE3iQgUYRvAn//QZXDhRdpFpxZZI/il53ACPxSHngUn6YXcmSFyy9u4GbgOZwyB68CL+HTM6sGojGmQNhy2gKWkcjr+knXNbfNvm1FUUjgGWOMMea00DcuMf3cSwYddMc0akSXLl1IS0tj2LBhPDb8a4KDXMHPdaVXXgYUkVI4S2C/B97I6pjN0PQrWFle9U1UZ6OqqC5wqY5+B36bD7WyOk9VE3HqfTUEhubpTo0xqLJLlbdVaQ1UxGlUUxmne+kuEd4XobMIQYUZ53/49BWc2pz9gQn4xVu4ARUSvwh+uQpYgpOYnQLUxKdPWgLPGJPBkningLiE+t3q74+sEZllGzZjjDHGmHzll0qIe2jJ8x53zZ7zBytXrmTIkCGMGjWKrl27ElauLlKqqdQsLz3xS93cDCkigvPG0gPcptl3RzsfyK7j5EKgWXbXUNW/cZaPPSQiV+QmLmPMf6myXZU3VLkYJ5H3DFAT+BbYKcIEETqJcHokzHz6AU631a7AV/jl9K/tl5/80hKYBXwDrAIa4NO78em2wg3MGHO6sSSeMcYYY8zZRtyvJ6dKiBYrB+vGU3znZwS7klg5/yu++HAUnS5pyI+/reHRj8W1cKNnIn7JTYfZu3Bqb92kqruzvKzT7bY52SfxFgDnikiJHK4zAae210QRqZiLuIwxOVBliyqvqdISqIYz07UBzozaHSKMFaG9SCGXWnK61LbF+SDgJ/xSulDjORX8Uhe/fAHMDWxpiU+vx6crCzMsY8zpy2riGWOMMcacbdwhCSv+STx83zV9g1wCySnw7JWS6rtoT1rGITe/lR5066WS2qxm8G66peTY4VBE6gOvAS+q6vQcDq0HlAB+z2b/QkCAxsCvWR2gqioi9wB/An4RaaeqqUdiGSwuHVTEa2YZc4JU+Qd4GXhZhBrADTg19HoDu0X4HKeG3mxV0rIfqYD49Hf80gqYBvyCXzri082nPI6C5peKwCDgDuBvoDMwxbrNGmOOR7JfCWEWLlx4jsfjmVG7du39ISEhVsvuLHHo0KGg1atXh6emprZt1qzZ+sKOxxhjTOERkZE4S7iqAk0yN2oQkY04nVUPBTb9T1U/yWKMasC7QBNgg6o2PmZ/Q5z6ceUCm55U1S+yGOdnnMYOlVR1V2DbOcBa4BtVvVZEZgL/p6ofBPY/BTwFlFTVw4FtK4H7jpNsyzURCQHmAweBi1U12/IgInInTrIvInPiLdN+AfYAQ1T1teNctwnOjL4XVXWQDJYSgrzsdrkvTk1P7aWDdNEJ35Qx5igi1MapSZlRl3In8BlOJ+k5qpzaxLlfKgFTgQhgMPA+Pj29GnOcCL+UBB7Bqf+3B3ga+ACfnvqEqTHmjGTLaU+R3bt3u5csWRK8e/dud2HHYowxxpgjPgNaAf9ks7+7qjYOfP0ngRewHyeR5jt2h4iEAl8DT6nquThL2H7JIZ6lOAXeM9yOM3stw0ygdabHbYDFwAWB61XAWS43J4dr5NXLQBXgxpwSeAEXAAuySuCBM8uO49TFy3TsIuBB4GnpKP28Lu9fYUFhdzQq16iOIH/IYHlKBoutKjEmH6iyWpXnVYkB6gOjgXbAbGCzCK+J0FLkFL1/9OkW4GLAC7wDxOOXb/BLb/wSfUpiyE9+KYZfBgLrgHtwahTWxqfvWQLPGJMXlsQrYMuXLw/u0KFDjfLlyzdu3Lhxg/Llyzfu2LFjjeXLlwcXdmy51aJFizr9+vU7835ZGmOMMcehqrNVdctJjhGrqr/izFQ7lg+YF9iPqqZlV08u4D3gFgARceEsc/Nn2n8kiSciQUB1nGYTrQP7Wweuly8zVkTkGqAPcI+qbsjFKTk1tciwADgvVwEMZBzXsZaWvN6ueruKK+9f6fm99+/u4ZcNd3td3sFel3e+DM5dYw5jTO6o8rcqz+Isj48BxgNX4NRt2yjCyyK0ECE3tTRPnE9jcZJdAEHAlcAYYCt+WYpfBuOX5vjl9H1P6xc3frkZp1nFUJyf1zXw6ctnxcxCY8wpd/r+wDsLLF++PPjCCy88d8aMGRHp6c4M9PT0dKZPnx5x4YUXnnsmJfKMMcaYImqiiCwTkf8TkagTOL8ekCQi34nIYhGZeJxxNgM7ROR8oANOwmtfpv2/A9EiUhln1tt84GecGXkE/pxxAnH+h4hUwnnzPkFVP8rF8eE495tdPbwMC4E6IhKW43iD5TzPIc9K1wJXrVpf1+LA6APuLSu3ELs3lkkDJlHs5WKu8mvKx7jEtUQGywAZfBq/kTfmDKSKqrJMlaeBOjglAz4ErsP5f75OhBdFaFqACT0/TlkDcN67Zvw/bwg8jvMz8IkCuvaJ84vgl8txantOAH4EauHTx/DpvpxPNsaY7NmLnQL04IMPVkpMTHSlpaUd9UstLS1NEhMTXQ8++GClworNGGOMMcd1iarGAE1xahe9dwJjeID2wN04b4C3Am8f55zxOMXO7wj8/QhVTcZZKts68PWzqq4DKolIscC2mScQ51ECXWY/wLnvfrk8rTlO04rczMQTnOcj6+sPlusE+b1ZnWYVF81exOpFq3nnnXd44IEHiIiI4Ntvv2XggIEMaj3IPejSQUFucY9wievzXMZpjMmjQEJvsSqPAzVw/r9/DtyIk5hfLcLzIsTka0LPpwdwGm1ktUTfA6ThlCE4ffilBc6HKVOADUBDfNo7sETYGGNOiiXx8khEmuX2a9q0aSWPTeBlSEtLk2nTppXMzTh5ia9FixZ1brvttspXXXVV9bCwsMbly5ePGTZs2FGf+H/88ccR9evXPzcsLKxxtWrVGjzzzDPl0tJyLsUQFxfn6dChQ43ixYs3qVKlSoNRo0Ydafk+cuTI0uXKlYvJfPzAgQOjmzVrVifj8QsvvBBVuXLlBsWLF29SunTpRtdff321vNyXMcYYc6qp6qbAnyk4zRouPoFhNgEzVXVroB7cBwTq1+XgK6Aj0AjIqjnFTJwZd21wZuGBkzi7AajI8WfC5cbjQEugh6om5PKcC4DNqrrtOMdtAvaSc128LYq63uj6hiemqvMSIzg4GLfbTVBQEGXLlgXA7XLzzKXPUKNUjdR0Td+eyziNMSchkNBboMrDODU4WwLfAbcCS4C/RRgsQr18uuS7OAm7o8LASeBdi0+/yafrnBy/1MYvn+L8DA4CWuHTa/Hp34UcmTHmLGJJvLPQZ599VvrOO+/cExcXt/jFF1/c9MQTT1TJWLo7a9as0JtuuqnGgAEDdsTGxi5+//33148ePbrc0KFDy+Y05qRJk8rceuute+Li4hYNHz5884ABA6pOmzateG7iWbZsWfCQIUMqffHFF2sPHjy4aP369ct69+69Jz/u1RhjjCkIIlJcREpm2nQjcCLdUCcBzQNLTcGpK7UkpxMC9ewGAP1UNauOkDNxZvdVVdWVgW2zcLoczgnM1ss9v9zBJyE/45cyACJyEfAs8GiguURunU8uEoiZmlvkVBfvjyB30OaPl38MQGpqKvfddx9PPfXUfw5ctnMZq/eu9gLHXfJrjMlfgYTePFUG4DTAuRj4CbgL+EuEZSI8Heh+e6J+BjIn6RVnNu8snA62hcsvFfDL28DfOE1BrsFJ4OVngyFjjAEsiZdnqrowN1+7du1a7HLl/PS6XC527dq1+Hhj5TXGTp06xV199dUH3G43t956a1x4eHjqb7/9FgowZsyYqNatW8f37t17n9fr5eKLL0687777dkyYMCHHOj+XXnppvM/ni/d6vXTv3j2+Q4cOcePGjSuTm3i8Xq+qqixevDgkNjbWFRERkX755Zfn9lN9Y4wxpsCIyBgR2QJUAqaKyNrArnLATBFZKiLLgEuBmzOdN05Erg78PTQwxqdAPRHZIiL/gyOz+V4A5orIUqAtTmfCHKnqF6r6Qza7/wAicWpBZZgF1CKv9fD8Uglxv0Fa0qUgwwKJSz/OG+PXczuMiAjOTLzjLaXNsIAcZuLpINXktOT3P1z2YUpqWio33XQT11xzDR07dvzPsR8v/xivy7uT/O3Ia4zJI1XSVflVlb44P1Pb4HTj7gusEmGxCI+LUCNPA/s0HRiHs6Q2HadG3iM4P3O+pox0ROQzROIQOYDINESuBRAhRIRWItwvwusijA502u0jwoUinHiNcr+E45chwFrgKpyyCTH49Bt8qic8rjHG5ODYackmn0RFRaW1b98+bvr06RFZLal1u93arl27+KioqHxvKV6hQoWjPoEPDQ1NP3DggBtg69at3jp16hzVCalWrVpJO3bsCMppzKpVqyYd+3jJkiWhuYmnbt26yePGjVs/ZsyYqIEDB1atWrVqUt++fXfefffdsbm7I2OMMaZgqOrd2WxfTw4121S1d6a/J+K8Yc3u2PeB93MRS+tstr+Ls5ws43EqEHbMMavgBOpQiXskIRU9xAyGebfdfu15VP9qAUHAbYEZc7lVHYgi90t5FwJPiEi4qu7P5piPdibsfOLqG6/mkqaXcO+99/7nAFXl/aXvp6Skp3ygg7KctWiMKQSqpOHMoPtZhH44H4R0Bx4CXhBhIfAJ8KkqG3Mx5Hs4s40TgQ74dA5+mcUPzCCWy4859rIV1L1sgPyw2OPpVCs1leIlSpBapw7pISHIwYPoqlW4ExNxezzsF2EC8KYqa3J1c34JxknYPQ14geeAN/BpYq7ON8aYk2BJvAI0YsSILRdeeGHYsc0t3G63hoaGpo8YMeKUFzetWLFiyoYNG476xGnt2rXB5cuXz3HpzaZNm4KOeRwcHR2dAhAeHp526NCho6Ydbt++3Zv5ca9eveJ69eoVl5KSwnvvvRd51113ndOyZcuDMTExRyUHjTHGGFOwAg0wppcNJ6xyaRo++NCNtGx0KTc+H0FacnwbgVXqdH7Mqh5fds7HmSXzZy6PXxD4swnOLML/0EG63NPDs2XaV9MqJe5K5IcffqBUqVJ88cUXdOzYkTVr1oAXNgdv9nK9LaU15nSlSirOz5PpItyHMyO5O05X2ZdE+B2n9MCnqmzOchCfrsMvbYFYfOqUJOjJNjh6Jl0iITzHM4yQh6heNb3x0Huha1eoXh2PZPqYIz0d1q2DSZMIHzOGPlu3cp+IDt1KxcXRbPcB5wCxOInGj1BNxC8uoAfwPBANvAH8D5/axARjzCljy2kLUIMGDZLmzp27ol27dvEZS2tdLhft2rWLnzt37ooGDRqc8gRW79699/z8888R7777bsnU1FTmzJkTMmrUqPK33HJLjjXqZs2aFfHxxx9HpKam8tlnn4VPmzat5B133LEHoEWLFomJiYnusWPHRqalpfHdd9+FTZ48OTLj3CVLlgR/8sknEfHx8S6v10tkZGQagNvtLtibNcYYY0xWkj7uy+U7R3tL/vTm1emP/O9DKlWuzJzf5jPvOa/+9ARfAS/nccwLgKWBWYm5sRmn821OdfFIOzdtdInnSqT2fasvfd/qS8/ne/L5359z16t3Mfy74Zz3/HkEdQv6h9wnD40xhUiVFFWmqnI7TtmCzsBqnDqcm0T4VYR+IkT/52SfzjySwHPcTqZJKduoQEvPH7wV+hCvveFhxdogHnkEzjkH5Jh5yi4X1KoFTz4J69fjfeklPCHB6c908Xz75W7K3ICz3P8ynGW883lMuuPMIP4A54OH2vj0YUvgGWNONZuJV8AaNGiQNHXq1HW7d+92b9u2zRMdHZ1aEEtoc6tt27YH33333XVDhw6Nvv/++6uXKlUq5c4779z11FNP7czpvBtuuGHv+PHjy9xxxx3nlCpVKmX48OH/dOrUKQGgXr16yS+88MKmp59+uvKAAQOqtWnTJq5bt257Fi1aVBwgKSnJNWzYsAq9e/eurqpSoUKF5FGjRm2oX7++zcIzxhhjTjFVVfzyKC5P9MFaT7tiYgbh8XggojY0fErCNwweEFk8/as8Dns+ua+Hh6qqiORYFy/g4/ik+Oe7fto1p2Mm6iCrP2XMmUaVZGAyMFmEYjhdubsBQ4HXRPgFZybc56oc/V5FpDrOrDgAdhFFa88cpHIllkz3UL167uPweODBB6FzZ7d0ateQtjtnMzv1QiKJyzikPlP5mBi+A27Gp8tO9J6NMeZkSd7KnRQtCxcuPMfj8cyoXbv2/pCQkLx1ejOnrUOHDgWtXr06PDU1tW2zZs3WF3Y8xhhjzCnll3PjEmXZ1aOru//aEMewYcPo3bs3q1at4vbbbmX1X/N56Ubm3zY67fzcDCciwcB+oHeg/l+uiMjzwR5uOPwe1wDr8GlKlscNluNN3VeexQuMwEkCHAaWqGqvwNLhj4F6wCFgF3Cvqq49dhARKQF8jpNY9KhqyUz7GgJvAmVxlg3PB+5T1UNZjPMsMAi4TlW/DGwTYD0QqaolRWQQUDmjtqKItMJpANBGVX8ObBsN7FbVp49z/8acVUQIwenk3Q1npl4xnPp6nwBfKFIOZzZcaXBa1XZ2fc9f5dsxb6GX8uVP/NqbNsEFzVK4eO9XfKzdMhcaVaAWqutOfHRjjDl5tpzWGGOMMaao8IsgnjEloxvo7PmrWLlyJUOGDCE+Pp46deowZ+5v/PbDeAZ9lt4Cv9N99zjjtfn2IR4Cgsh9U4sMCx7uTG1gBdA/u4N0kKYd5ysdeBHnTXZtVW2IUzw/wztAHVVtBHyNszwuKynAMKB9FvsOA/eral2gEVAceDSHe1uIs9QvQzuc5cMZZgKtMz1ug/P8Hbstb92GjTkLqHJIlc9V6Y6TOL8RiMPpmL1jPs2PJPAA/o87+EE78OGkk0vgAVSpAu9+6GWS3sAkumXeJUDtkxvdGGNOniXxjDHGGGOKjl7JKakXa6WuHnZMp/j+uQS702D7dNg2FbZNJaJEMUqEBoN438YvxbMdyS8VEPe3nZvwfNt6HIBcdnYMeOs29jx9nQsiGoC4h+CXqidyQyJSHLgDeDKjo66q7gj8eVhVp2TqtDsPqJbVOKqapKoz4N81dJn2rVHVpYG/pwF/ZDdOwK9ADRHJSCncDozPtH8eEC0iGV2NW+N0uGwduKcKQBXgtxyuYcxZT5WDqkxS5Xqg7GVMG9CCP44k8NJw8T/vM9x5p3DRRc62wYMHU6NGDSIiIihTpgwdO3Zk8eLFR8b8/fffueqqqyhfvjzh4eE0bNiQCRMmHNnfoQP0vDGdoZ5nOWbN2taCvFdjjMkNS+IZY4wxxhQV4o5atQ0u7TaI1u070a7TtTx35Vbmv3c9l7TtRJv2nejStQdv9EoCtATHdH48ZqxXKVY+OC2qjb7Xx+PWD/Fme2zGKSLFRGSOiPz8+lQmf7K4LHSYy/Q1Ue7znmKBiMwUkRfyeFc1cLpIPiEiC0TkFxFpl82xD+DMxjthgaRh71yM8wFwi4iUBJoDUzN2qGoyMBdoE1iOXF1VpwCVAkuA2wC/qerhk4nVmLOJKgem0fHXzNumcAXrU6owYOC/C1979OjBggULiI+PZ9u2bXTo0IGOHTuSluaUJd+7dy/XX389S5cuJT4+npEjR/LAAw/w1VdfHRlj4EMulqWeyywuzdj0G4FEvjHGFCZrbGGMMcYYU1Ro2usNq/B/s5/5767LGh57bGoqPj2YeVMgwTQ9KowSVcoQ8+DAHrRsfRWNr20dWroEK9f3lE3AK6r6TTYRJAGt9UOujU9kUoNBaVzxRDLDZ1by/PrMjjLFgngVX7bnZscDVAX+VtXHRKQJ8KOI1FfVI8XwReQJoCbO0tYTIiJBOHW5pmXUu8vBe8CPQAIwCUg/Zn/Gktp/cGrsgTNDr2Vg+8wTjdOYs9g64CDOknZm0JYm9ZOoU+ffzxvq1Klz5O+qitvtZteuXcTGxhIVFcUVV1xx1IBt2rShbdu2zJw5k2uvvRaApk2hZpUkZmxqS2tm7QbuKugbM8aY3LAknjHGGGNMUeHTNCD+JEZIGtubjr3bepfFhbdLa3jPJ+5fOt9P43rV+Hng5mg0rR0+3ZDdyYHOuCGI580DZbtoTOODMnnyZMpWPpfrxmwlYd+OSZsekCs37tbpeYhpE06C7MPANRaJyAagITgdLUXkIeA6oL2qJp7IjYuIFyeBtx1nRl+OVHWriPyD0+TiwiwOmYmzDHgTTtF+cIr1twl83XoicRpzVlPdj8g4Av8H53sv4vyL/zthePLkyfTs2ZP4+HhEhAEDBhAVFZXlkPv37+f3338/ksDLcH4rL19NuuGf51IHtUJ1S77fizHGnABbTmuMMcYYk4XA0s+vRGS1iCwRkR9FpGam/WVF5AcRWSMiy0XkkmzGqS4iC0VkceC4T0UkMtP+R0Xk78D+eSLSIptxnhURFZEumbaJiGwQkbjA40HivMHN2N8qcE7rTNtGi8iQE3lOVFV7t+FBxFX5YO3B7piYGACWbzhAqyHeoE7D5NfiwZL1O+WAbft48eLntEyj236SLl26sHXrVv7++2++mDKXifcX8xxKZlKgm2tuY9oDTMfpTIuIVAeq4zTMQEQG4hTGv0xV407kvkXEg9PlNha4K1ONveN5Gngqq264OHX1ygI9OTqJ1wOowL+z84wxR3sMmAywRSpTvfp/D7jyyiuJi4tj7969jBgxgpYtW2Y5UHJyMt27d6du3br06tXrqH3Vz3GxxnNusiXwjDGnE0viGWOMMcZkL6fOpi8C81S1FnAb4A/M1jrWNqCVqjZW1QaBx88CiEhjoA/QQlUbA6MCX9kp3K6nfqkVlyhPXfJytDvmgsvp0qULFSpUYMOGDfw6Y7Jc11yjq5RmUg7nN42OlHt++W6MrFy5iiFDhhAaGkrr1q0pFlmNah2Gu6tHUeqDPlycx8juAR4WkWXAV8DdgZlwlYARQElgZiBReqSLrog8JyL3ZHq8FKeZRLiIbBGR9wO7uuPM5DsPWBQY583jBaWqC1T1nWz2peA0wAhT1ZWBbauBMODXwH5jzLGcWpFXAW0PEXoop5R/qVKleOCBB+jduzdLliw5al9iYiJXX301SUlJfPvtt3g8Ry9SEwFVcv2BgjHGnAqWxDPGGGOMyUIuOpt2A0YHjv0DJzl3KccIdD09BCAibpxaThljKuANbAMn2ZTTrI/C63rqF0E8o0uWr8Ps+atYuXIlQ4YM4fDhw4SFhUH5tvT0dU9XaIVfSmRxvvtwqmdceqnmaZxzG8WLFyc4OJhOnTqxaNEiVJW4Mj3YkxhEjws9w/BLrl+nqup6VW2jqg1VtZGqfh7YvkVVRVVrBJKojVX1/EznPaOqozM9jlHVCqrqUtVKqnpTYPuHgXEaZRrnvmxieVZV+2exfaOqljxmWydVrXDMtgqq2im3925MkaSqqM7cLxGrN2/O+dD09HRSUlJYs+bfBtr79u2jffv2eDwepkyZQokS//2RtXkzpKezPb9DN8aYk2FJvFNl9243S5YEs3u3uyAv06JFizr9+vWLLshrGGOMMUXUkc6mIlIa8Krqjkz7N+IkyP5DRIJEZDHOrLlaOHXSUNUlwKvABhHZAgwA+h4njsLqeto9OSW1rbYY68HlPZKEy2zmvitd51byuAnMNDxGlzXbUpu0fugvT+smZWnXvBKDe4RrnR2P6JV1d+oljcrQ8aKavHpnNG5JvQC48gRiNMYUIUlJzJk7l6Nmrb7++uvs3On0tNm9ezd9+vQhKCiIiy66CIAdO3Zw6aWXUrlyZb788kuKFSuW5dhz5pCcksLcAr4FY4zJE2tsUdCWLw9m4MBKTJ9ekvR0cLmgffs4RozYQoMGSYUd3sn6+uuvw1588cUKK1asCI2Pj3cvW7ZseYOz4L6MMcaYzE62s2kgudY40N30DeBu4KVA/bbrgJqquk1E7sdpntAqh+EKp+upK/jOVduSuO/SS3AJJKXA4Ms96TOei2LIF6musGIQ5BUde4cK4rkdvzwaaKSRYUbDKnw4+4mD4jSXBFgIWxcy8CIYeFHGYXEE7mn2CcVpjClKZi1axL2bNkGVwEcoP/74Iy+88AIJCQmEh4fTvHlzfvrpJypUcCa9jhkzhmXLlrFu3ToiI4+UJ+Xiiy/m+++/B2DlSlizhiCcOpXGGHPasCReQVq+PJgLLzyXxEQX6YHX1+npMH16BBdeGMbcuSvO9EReiRIl0n0+396oqKidN954Y83jn2GMMcacnkTkZmBg4OHrqjohsP0/nU1Vda+IpIpI+Uyz8arhdBrNlqomi8gEYCzwEnA9sExVtwUOmQC8ISJBgcRfVmMUTtfT9KT7Glah5eynM/d0cCbAdGl2JLrAH6lrjknggU9jgaMrxxtjzMn5yu1mz8iRRL38srPhu+++y/GEQYMGMWjQoByPee1VJdJ7cM++lBLT8itQY4zJD5bEK0gPPliJxEQXaWlHF0RNSxMSE108+GAlpk5dl9+XjYuL83To0KHGnDlzwkuXLp3yyCOPbL///vv3AowcObL00KFDK+7cuXNpxvEDBw6MnjVrVtjChQtXAbzwwgtRb7/9drnY2FhvsWLF0lu3bh3/+eefb8zqWu3atTvYrl27g6tWrQrK7/swxhhjTiVVnQhMzLwtU2fT9ll0Nv0Up6HCsyLSHKhIFrM2RKQqsFtVE0XEBdwAZPweXg/cJiIlVDUB6Ayszi6Bl8nTQFNVXSsi1Y7Zl7nr6dWBbbOA7ziZrqc+XQmsPKFzjTGmAKiSLMKwkSN56ZZbcDVsePJj/v47jBunjEp/qPQ9jLkWnBqbxhhzOrAkXl6JNDv+QbmQliZMm1YyV+OpLszL0JMmTSozfvz4dZMnT173xRdfRPTq1atG7dq1D3fo0OHg8c5dtmxZ8JAhQyrNnj17RfPmzQ/Hx8e75s6dG5qX6xtjjDFng0ydTdfjdDYFSMrUGOFR4H0RWQMkA70yOoqKyHPAtkDThBhgaOB8F/An0C8wxpc4de0WiEgSzjpT3/FiU9UFwIJs9qWIyK9Ao8xdT0XEup4aY85Gr6tyQ7duNP39d7zh4Sc+UGws9OqeTFt+4S7eEWAIIl/wb4MjY4wpVNbY4ix06aWXxvt8vniv10v37t3jO3ToEDdu3LgyuTnX6/WqqsrixYtDYmNjXREREemXX355QkHHbIwxxpxuctHZdKeqdlDVWqpaX1VnZtqXuetpRqOKdGAf8Kqq7g1s6whchpMEPATcq9l/eHcQaC8if4vIl4HGFqjqRqCjiCwRkdUiMgO4I6uup8A8EVER6ZKxXRwbRCQu8HiQiIzLtL9V4JzWmbaNFpEhuXgaT5iIFBORrwL3tEREfhSRmpn2lxWRH0RkjYgsF5FLshmnhIhMFZE9GfeYaV91EVkoIosDY3wqIpHZjPNu4HlokmlbmIgkBJqWICITROSpTPt7Bc6plmnbDyJyxwk+LcaYY6iSmppKj7VriW/XjtTdu09snG3boO3FKSRv3c276TfhcsoDnAvUzsdwjTHmpFgSL69UF+bqa9euxbiO8/S6XLBr1+LjjpVHVatWTTr28datW3O13LVu3brJ48aNWz9x4sQyVatWjWnQoMG5Y8aMKZXXGIwxxhhzRDdVjVHVxsArwLsAgWTRh8AtqhoDPBx4/B8ichlwG9BSVesBC4GhgX2uwHn9VbU2MAV4LYd4FgK3Z3rcDqdrboaMxhgZ2gC/Z7FtRg7XyC/vAHVUtRFOZ+Bxmfa9CMxT1Vo4z41fRLxZjJECDAPaZ7FvG9AqkKBtEHj8bA7xHPvcdQdWZHqc43MnIh6cpiWn4rkzpshQZWNqKq2WLGFngwakfvEF5HbunCr4/dCkYQqJqzfzc2orotme+RB7z2yMOW3YD6SCEhWVRvv2cbjdWf/6cLuV9u3jiIpKy3L/Sdi0aVPQMY+Do6OjUwDCw8PTDh06dNS/+/bt2496wdurV6+4X375ZU1sbOzi/v3777j33nurL126NDi/4zTGGGOKgmNq6UVwpPsDNYC9qvpX4LhfgCoi0jSLYRrhLIU9EHg8Bbgp8PdmQGqmmYBjgKtEpFg2If0K1BCR8oHHtwPjM+2fB0QHlhODk4B6jn8TURWAKsBv2YyfL1T1sKpO0X+Xsc3DaR6SoRswOnDsHzgJuEuzGCdJVWcQaHubxb5DACLiBorz779PVr4AOotIxuui2zj6uZsJtAx0IQYnYfc//k3sNQf2qOqGHK5hjDkBqqxKSaHJnj18dP31cNFFpL7/PhzMpqDQ/v0wfjy0bJ5Cz55wbewEfk9tRnU2Zj5sHbCq4KM3xpjcsSReQRoxYguhoen/SeS53UpoaDojRmwpiMvOmjUr4uOPP45ITU3ls88+C582bVrJO+64Yw9AixYtEhMTE91jx46NTEtL47vvvgubPHnykWUjS5YsCf7kk08i4uPjXV6vl8jIyDQnZHeW10pLSyMxMVEOHz7sFApKSpLExERJTU0tiFszxhhjzkgiMlFENgND+Df5tgYoLSIXBo65Ggjj6ERVhoU4S2n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+18,10 @@ l2rpn-baselines = "^0.5.1" qgrid = "^1.3.1" Sphinx = "^4.5.0" gym = "^0.23.1" +ipywidgets = "^7" +ipython_genutils = "^0.2.0" +kaleido = "^0.2.1" +pandas = "^1.5.3" [tool.poetry.dev-dependencies] From 6be6f570ee383f82ed3bcc3d8d2d2ddc78e48eed Mon Sep 17 00:00:00 2001 From: Milad Leyli abadi Date: Fri, 3 Oct 2025 14:48:08 +0200 Subject: [PATCH 8/8] Getting started notebook updated --- getting_started/Getting_Started.ipynb | 53 ++++++++++++++------------- 1 file changed, 27 insertions(+), 26 deletions(-) diff --git a/getting_started/Getting_Started.ipynb b/getting_started/Getting_Started.ipynb index eb7266c..3686b98 100644 --- a/getting_started/Getting_Started.ipynb +++ b/getting_started/Getting_Started.ipynb @@ -31,6 +31,7 @@ "import os\n", "import sys\n", "\n", + "import kaleido\n", "from grid2bench.AgentsAnalytics import AgentsAnalytics as aa\n", "from grid2bench.AgentsAnalytics import AgentsAnalytics\n", "from grid2bench.EpisodesDataTransformer import EpisodesDataTransformer as eps\n", @@ -164,9 +165,9 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 24/24 [01:00<00:00, 2.52s/it]\n", - "100%|██████████| 24/24 [00:54<00:00, 2.26s/it]\n", - "100%|██████████| 24/24 [01:00<00:00, 2.52s/it]\n" + "100%|██████████| 24/24 [00:17<00:00, 1.34it/s]\n", + "100%|██████████| 24/24 [00:15<00:00, 1.52it/s]\n", + "100%|██████████| 24/24 [00:19<00:00, 1.23it/s]\n" ] } ], @@ -221,7 +222,7 @@ "\n", "ppo_agent = agents_results[agents.agents_names.index('PPO_Agent')]\n", "tutor_binbinchen = agents_results[agents.agents_names.index('Tutor_binbinchen')]\n", - "tutor_200_acts = agents_results[agents.agents_names.index('Tutor N-1(200 Actions)_Tutor')]\n" + "tutor_200_acts = agents_results[agents.agents_names.index('Tutor N-1(200 Actions)_Tutor')]" ] }, { @@ -249,7 +250,7 @@ "outputs": [ { "data": { - "image/png": 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" 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" }, "metadata": {}, "output_type": "display_data" @@ -274,7 +275,7 @@ "outputs": [ { "data": { - "image/png": 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+/kpKnjheavfhs/Bcv09GkMXX2vqTHmpVLoHm9SoiMFCNpev2YNfBM/CcPhD5cmY0WXjFzn+RRyqOQxP74oSQn7t8Czs8x8hNbz+K8IpNZQ07jpQnP1SvWFymM9x//AJDJy6VpxaIvFtjhFewFBuy5npulV/p/100D/wDArBhx1F5XJpgLo7q0ueqig114iSH516vMXvZVimXglFEb1oTR3kJCWxcq5yslz5NcnkCRPA3xolNa78ivCKXWvxxU7vy32hYs4w8TUGc0DBx7lr07dhAzn14Rcis2LjYv3MjuQFRpIaII9nESR2CvcjnFW+4E2K6YEIvJEoYT24EFKc0iHnp2a6ujHrffvBMritxCoZ+w58Ya2Tzasz9I3tA+TkJkAAJkAAJkIDpBKKV8DbuNArvP3427IQPb3hzl2+T57GK83mFsIgUh3krtuPeo+eIF8dBnhDQs209eayUKCJvc/K8dTh88rI8w1YIV8fmNQxn7Io64ixfIYJ3Hj6H+Ipc7ODv1LKG3OQkiqkR3tzZ08s2RR6uz5v3SJPKBX061Jcv0xAlspQGcU7w4tW7peiK0xZEVLNCqULo2Ly6jG4aK7ziXsHP4bW1tUGOzK7yqC8h5KKIr96nL9oIcVLGpy9+MjoqJFdsLitWMIcU7IiKx7hF2HP4nDxtYcviUZgsX+oQ9IrkXxVecT/xh4kQbxHlF0WkIzSo8U+YDXjB+ybOYJ66cCOOn7kiT2JwdLSXr6kW3PLlzCSr/nfzAXoMnS2PLGtet6JMmxDyLo5iE/cUJ2wkSZxQRoPFUW36KL0Q3sjm1Zj7m/4IswUSIAESIAESIIHICEQr4Y2sszHxcylG2dKHOMkhJo6DfQ5JgPPKFUECJEACJEACMYcAhTeK54piFMWA/1DznNc/BJ63JQESIAESIIFfIEDh/QVoP3MJxehnaMWcupzXmDNX7CkJkAAJkAAJUHi5BkiABEiABEiABEiABCyaAIXXoqeXgyMBEiABEiABEiABEqDwcg2QAAmQAAmQAAmQAAlYNAEKr0VPLwdHAiRAAiRAAiRAAiRA4eUaIAESIAESIAESIAESsGgCFF6Lnl4OjgRIgARIgARIgARIgMLLNUACJEACJEACJEACJGDRBCi8Fj29HBwJkAAJkAAJkAAJkACFl2uABEiABEiABEiABEjAoglQeC16ejk4EiABEiABEiABEiABCi/XAAmQAAmQAAmQAAmQgEUToPBa9PRycCRAAiRAAiRAAiRAAhRergESIAESIAESIAESIAGLJkDhtejp5eBIgARIgARIgARIgAQovFwDJEACJEACJEACJEACFk2AwmvR08vBkQAJkAAJkAAJkAAJUHi5BkiABEiABEiABEiABCyaAIXXoqeXgyMBEiABEiABEiABEqDwcg2QAAmQAAmQAAmQAAlYNAEKr0VPLwdHAiRAAiRAAiRAAiRA4eUaIAESIAESIAESIAESsGgCFF6Lnl4OjgRIgARIgARIgARIgMLLNUACJEACJEACJEACJGDRBCi8Fj29HBwJkAAJkAAJkAAJkACFl2uABEiABEiABEiABEjAoglQeC16ejk4EiABEiABEiABEiABCi/XAAmQAAmQAAmQAAmQgEUToPBa9PRycCRAAiRAAiRAAiRAAhRergESIAESIAESIAESIAGLJkDhtejp5eBIgARIgARIgARIgAQovFwDJEACJEACJEACJEACFk2AwmvR08vBkQAJkAAJkAAJkAAJUHi5BkiABEiABEiABEiABCyaAIXXoqeXgyMBEiABEiABEiABEqDwcg2QAAmQAAmQAAmQAAlYNAEKr0VPLwdHAiRAAiRAAiRAAiRA4eUaIAESIAESIAESIAESsGgCFF6Lnl4OjgRIgARIgARIgARIgMLLNUACJEACJEACJEACJGDRBCi8Fj29HBwJkAAJkAAJkAAJkACFl2uABEiABEiABEiABEjAoglQeC16ejk4EiABEiABEiABEiABCi/XAAmQAAmQAAmQAAmQgEUToPBa9PRycCRAAiRAAiRAAiRAAhRergESIAESIAESIAESIAGLJkDhtejp5eBIgARIgARIgARIgAQovFwDJEACJEACJEACJEACFk2Awmvi9Hq99TOxBV5OAiRAAiQQ2wgkd7KPbUPmeEngjxKg8JqIn8JrIkBeTgIkQAKxkACFNxZOOof8RwlQeE3ET+E1ESAvJwESIIFYSIDCGwsnnUP+owQovCbip/CaCJCXkwAJkEAsJEDhjYWTziH/UQIUXhPxU3hNBMjLSYAESCAWEqDwxsJJ55D/KAEKr4n4KbwmAuTlJEACJBALCVB4Y+Gkc8h/lACF10T8FF4TAfJyEiABEoiFBCi8sXDSOeQ/SoDCayJ+Cq+JAHk5CZAACcRCAn9KeMfOXAVvH19MG9E5Uuq1Wg1G7Sp/o3GtsmHqfvz8FUXdOmLr0lHI6Joy0rZYgQT+NAEKr4kzQOE1ESAvJwESIIFYSOBPCe/TF97w9w9EBtcUkVKn8EaKiBViEAEKr4mTReE1ESAvJwESIIFYSOB3C69Wq4VWCyiVCqNpU3iNRsWKMYAAhdfESaLwmgiQl5MACZBALCRgrPDWbzccxQrlQNdWtQ2Upi3ciHOXb2HNnMG4dvsRxs9ajdv3n8DO1hZlSuSDR9cmsLGxxuFTlzFxzhrUcSuFWUu3yPpb9pwwpDRoNFpMXbABOw6cxodPX+CaygV9OzVEkXzZ5L2E8Jb7uwCu3riP85dvI7lLYvTv3AjFC+VE6JSG7/4BGD97DfYeOQetRoscWdLBo1sTpE3lEgtnl0OOjgQovCbOCoXXRIC8nARIgARiIQFjhXfp2j3Yuu8kti0dbaDk1mwAGlT/R+bWlq3XC5XKFEanFjXx1vcD2vSeiHpVS6Nlg0o4ce4/9Bk5DxVLFUK7ZtWQOGE8TJq3ziC8G3cew/RFG7Fs+gCkcEmM1VsOYtGqXTi2eTqsra2k8L57/wkj+7ZC3hwZsGzdXixdtweHN0yFQqkIkcMr2v3v5gNMGtIR8eM5Yt7y7dhz+Bx2rhgLK5UqFs4whxzdCFB4TZwRCq+JAHk5CZAACcRCAsYK70vvtyhbvxf2rJqA1CmS4MHjF6jechCObJwKZ6cEUkjjONjJiK4oo6evkP82eWhHnDh3De37TcaBtZNkdFaU4JvWRFT2q983JIwfV372/sNnFKveGTuWj0W61Mmk8GbJkBpjBrSRn3/77o8ibh0xcXB7FM6XzSC8GdKmQKHK7TF7TA8UyptF1lWrNShcpT3mjO1p+LdYOM0ccjQiYJHCK34hDJvsiTsPniJxovjo3aEB/imWV2IXf/GOmbESPm/fI3f2DBjv0U7WEWXhqp3wXL8PgWo1KpcpIr8WUqmUePriNQaOXYhb957Iv4JH9HVHnuwZ5DUU3mi0mtkVEiABEoghBIwVXjGcBh1GyChti/oVZeT0/OVbWDK1nxypSFtYunY3Xr5+J3/++OkLCufNipmju0nh7TxwGq4eWmygElx4P3z8gmmLNuLCldv49u27rCPa2bRohBRdIbyV/imMNo3dDNeXqdtTRo+rVShmEN4E8eKgVO3u4ZIf1a8ValYqEUNmhd20ZAIWKbzVW3qgjjxKpRxOXbiOnsNm4fiWmQgIDETFhn0waWgHFMyTFdMWbMDL128xZVgnnP33JgZNWAzP6QMQP64jOvSfisplCqNhjTJo2mU0ihXMiVaNquDYmStSmPetmQRrKxWF18xPR0TbKbSh7hO6XujPTe2WQqGA3OHx/6IVNwx1kx/1QVweur4GgDJYx0RzwdsIbwyhPw9zT4UCiuD9lC0GtRSGZ8hhhbi/YazB4SkARfCOKRQQm19CVgl5zzDjCNPHkOMWbYVhEazJ8NdE2HtGtiZCsAzVp3DHHnrNGbEmTF13xlxv6pow5h6sE/UEfkZ4l63fi0Mn/sWKmR6o3XoIGtT4B3XdSuHR05eo0XKQDMJULfeX3JAm8mife702CG+PoTNxce+CcIW3/5gFePLcGzNGdpHR4s9f/FC4SocQwutWrijcG1Q2XF+2Xk+0bVoNFUsXMgiviBD/Xaub4bqop8c7kMDPE7A44RXRWZGUL/6i1OcNiQd4w4LhuHn3MTbvPo4FE3tLUp8+f5UP6dmdczBu9hokS5LI8JfskdOXZbRXfC1UsVEfnNk5x9BenTZD0a9TQxTMk4XC+/Nr7odXfPyowJ17Crg4q/D0hQbOiRVIkkSNBPGDNOpe4Acc9/PCy7P/wrlwXmifeqNJ9hKIo9B9pWeOcvU/JRIl0PUhYXwFEjhpkDypUFZd+aQOwA6/x3h45pzsg99jL1TJWggZrXXfFrx+o8TDh0AKF10bKZJp4epzCGf/vYDiGdLhoc8bfKpUGZsvHJfXf3r8HGnTZ0Adx/S6G2i1uPdQBTvroD4ks3oG55cXcerWLdnG4wAtLpfIjytnThvaKJk5DwraJIVws2/+wI2bSiRJpGvDKYECiZw1SJI4aBxe6q846PccT8+cl20EPHmJWlmLIbmVvezGy9dKBH4L6oN/gBq5c2ug+L8qC/e94P8a+4/vN/Qha/rMqOKY1sDq5i0l4joGtZHG6j7iP7+MU3fv6cahsMGZwtlx+8wZ2cbnx89RMUtBZLdJJNsIvSaSuSiQzvcEzp0/YWDpX6YMjtoHhrsmRB+fvVBAobEyzGdC1Tuk8jmJU9evyzYe+H5E2lIVoXFOHuHyiWxNmGPd/bANM6yJKO8jb2A0gZ8R3lc+71C+QW+snTsEjTqOxLHNM2Se7Pb9p+SmsyMbpxnu26zrGBm00Ud4fyS8FRr2kf/Pq+P2t7z+7KWbaNVzQgjhzZk1HYb3bik/16c0CEHOkyNjiBzegpXaY3CPpqhWvpihLy9evZHfirKQQHQgYHHCGxrqtVsP0W3ITBxcN0WmLIik/oFdmxiqCeFdPmMgRkz1lJsAypUsID8Tfzm37DFeRn9HTPGUh2vrS+8Rc1E4X1b5FzZTGsy7jN++U2DFKiUyplPBxgaI46hFpqyBcEoYJLxX/N+g8av9sLt4H0q1GqnggKW1eyC+0sZsnVm5RoWE8XR9UCqBdBkC4JomqA++6u9o4L0Pb85ekX2Io1Fhes1OyGXjJPvg5QUsX6VCruwqWFkBqVKqkfvcGJw5cQTii0ONFrCeNAudjq+GMkAt/yHbP39jmXMZGf4Udzp3Xom3Pla6PiiAHInuIs2GATjl7SvbsM2SB5vdq2Pv8QOyDwq1FsOrtkIlhzSyja9+gOdKFdKk0PXB3g5IlzFAyre+PAr4iEavDsD/4g2oAtRwUthhXq3OSKPS5fQ9fqrArRvW8nrRB6/XajRpqJZCrS87vjzBsH2ehj5UKu+GYYkKGqR4914VoNH1QexdKex0Bc7L+uPkR385DsdCpTChZj7cPn1W9kGpBabX6IjCtknlLUKvicROGuR/vgQXtq42sIw7cgIaaa5HuCZu3FLgySPdOEQfXBxeIt/Bfjj96LlsQ20fB38PnAhNCtcI11Bka8Jsiy+ChsyxJqK6j2zfeAI/I7yiVSG6Ik/X3s4Wc8f1kDcSJyeITWqbF49AquRJMMdzG06evwYrlRJr5w2VKQ0/Et7m3cYiWVInjOnfBo+eemHi3HU4c/EGZo7uipJFcsuUBt8PunzgHJldsXjtbhkIOrppGvwDAsNsWjt88hJmj+mOlMmTYOPOo5ixaBMOrp8CRwc748GwJglEEQGLFt7nL33Qts8kDO7eDEULZIc4ykVEgHu3r2/AWa5Bb/l1zqhpK9CuaVX5kEthefUGNdwHybfRTF+4CevmDzVc4zFuETKlT4XmdStALcyFxWwEnnqpMXeRBoFqBT5/BpwTa9G6uRKpkwft8j3u+xK1nu7BV9/3CIhjh9zKBNiVrRaS2pnnl6p/oAazFqjx0lvXB2sroEUzLfJlD4ogv/T7gkoPd+Guz3PZB5W6mGYAACAASURBVCetNTZkrIoSCXRH8Ny6H4AFSwBrawU+fQby5tKg3rtx+HDmAOIrgACtFmfHzkOD5wfg72gLhVqDsglcsTVdJdhYK+W62nM4EMdO6PpgpQLaVryP1OsH4P27N7INv9zFMLR+Bax8dln2QbSxNE0FNEqaUQrpuw8azJivxtcvuj7EiQO4NwOyprcyzNe1T+9Q/dEevPJ9jQBHW6RVOGJr5mrIHiehrHPlZgDWbFDg40ddH9Kk0aJLWxVsrXXJGSJ6utz7Hjrc3mHoQ5skuTAtdXFYq5QIVGuxemMgrt/U9UG00bPyNTgt7QdfPz85ju8l3dC4TFac9n4g+2CtBjanr4qKiVPJe4ReExnSadAiric+71xuYHl16FQ0CLwW7poQT+jJ8wHYsSuoD7VLeyPPgX748PyJrg8JnBCnz0Q4ZsgY7lo2Zk2Y7SGIoCFzrImo7iPbN56A6ifOwxWtrti4H+Nmrca4gW1RtfxfhhuNmLocuw6egYO9rUzjE0eGufccjwK5M6OuW+kfCq840sxj7EKZ2pc1YxqM6tca81dsx8ET/2LuuJ4YPmUZalQojtMXb+Df/+7IaK1H96by2LLQx5KJ6K9Ip9h39Dy+fw9A5vSp5BFmubL9/1sr49GwJglECQGLFd47D56h2+CZ8oEr9VceCW/Byh0QO16H9mphgClejSj+Eh45bTlqVSop83ZFEde36zsZU4d3wqDxi7FrxTjDNV0Hz0CJwrlkhNfb91uUTExsbfTNWxGVVCJBPAUSJVTg8xctKlVUI7EucCrL5W9v0PDVPmgevYTdBz+kTJ0Gq3M3QAKVeSK8QpCWr1Ii0F/XhxevtKhUQYP0rkF/3LwL/IZ6r/bh6b17sg9WKZyxJFdd5LHVdfT5C904XJLo2nBw1KDy07F4cOog3moUSG2lxb1xc9Dy2jbYfvDDF5d4+CttdixPWlbKqsiTPX1Oidu3lLo+vNSiVsH7MsJ7z+etbCNNvsKY1KASNt84Lfvw2SU+ZuaojsqOaWQbX/yApcuVsLfR9cHnrRaVKmmQKnnQOB4EfERDr/14//CxbCNByuTwzF0Xrtbx5DgePlbg6DGlTOsQfYgTV4tmjTUy2iuLFtj65TH6Xtho6EPjjIUxPFEhKP8fBt65Wwlvb10fnnlp0bzINTgv64e7n7/JcbiWqoCOFXLg0u1rso3vyRJgaa56+MteF+ENvSag0KCmdikeb19pYPl8yCQ01FyPcE1cu6nA+XM6lqIPpXJ7ywjv/SdPZRupEiVEkp7jgJThR3iNWRNR/cyaY01EdR/ZvvEEkiY0zx/oxt+RNUkgdhOwSOF95vUabXpPkkep5MsZFLHZf+wiVm0+IDemiSJOaqjYqK/M4Z0wZw3ETtNOLWvKz3YfOodNu47JDW7inMNT22fBzlYnVFWa9sfIvu7IlzMTUxrM/Pzov77O4KrC+Usa/FNCgZx5IkhpuPQAr3KnRKEb77GsciezpzQkiKvrQ+H8SmTLEUFKw/mrsg/pr3ljVsU2YVIacmZT4dy/GtSuqkXBKyKl4TCK26hx0l+FwImz0fHEarzKnQpJrz5Drr+KhUlpePPaSvahUD4lCibXpzS8k21cyFgIa5pXxd6TB2Ufkl59jtHlmoVJaRDRcdGHYkWUyJEz/JSG7//egHfuVMhx/Q0WVG4fIqXhxnVrnLuo64PvxwhSGg4sN/ShaskKYVIatGpdHwrmU6J0Sn1Kw3c5jst5y2Fkjby4deas7EPyqy8wq1KbMCkN+jVRpTxQ9LVIaVhlYGk1YqIupSGCNSFSGh4/tDb0IZ2TPqXhmWzjhHVCFOo/IdKUhh+tCTM/CmGa06c0mLImorqPbN94Aj+b0mB8y6xJAiQQHgGLFN4W3cehfrXS8jiV4OXL129yA9r4Qe1QMHcW+fXQ569+8miyS9fuou/IeTKf19HRHm17T0K9aqVRu0pJtOo1AflzZZbJ/eLrmumLNmHPqvFyExtzeM37YOmFN1c2lfwKXrwJKGOW8IU3zslbsPnyHUniJ8KSOj3NLrzJk+j68PkL4Jo+fOF9f/SC7INVXEdMr9U5jPAWyq9CvLgKxHEMRK5zY3Dw+BF81ioQR6GF7aRZ6LrfE9Zf/eHvYINsZUqFEd6vn6x0ffgMZE+oE979r3xlG85Zc2Nrq+o4uH+37INIjRhWvXUY4c2cXteHb9+0cM0QvvCqT16BzVd/xI0bD/Nqdw0hvI/uW8PRUdeHF97hC++obYsMfahYsWoY4bWz0fXh4yctCiXSCe++D/5yHCkKl8SEWvlx7/AJ2YdAB1tMr9UpjPDq14SNjQb5ni3B0S2rDSzj/z+HN6I1IYTX+6W1oQ9J7XXCe+Dhc10bjo4oZUQO74/WhHmfhLCt6YXXlDUR1X1k+8YToPAaz4o1ScAcBCxOeEXerth5Kt4SE7xMGtIBZUvkl7tQh0/2hM9bXxQQ0juwLRLEjyOrem7Yh0WrdiIgUI0aFYvLkxjE8VQiDaLf6Pm4ceex3Bgwun9rZM+s24VO4TXHMgxqQy+8eXKooNaITVNq1KihCXfTmpAb8d26c57sWJWpptmFN6WLrg9XrmlQq6Y63E1rQnhFHwJyumJZxmphhLdwARW0GnFiQiBqvBqLA8ePyKPJCtmocWXMXHTbuwwalRI+2ZLhb5dMYYT32xcr2YfL/2nQ9G9dSsO+V76yjQIFC2NUvYpSeEUfXmdLhjnpK4cR3iwZdH24eVeDmjXU4W5a0xy/DK1KCbvcmbAiU/UQwvvkoTUC1bo+JE2qDXfTmhBefR+apcwfRnjtbXV9uPSfBu1L/yeFd+8Hfx2LMhXhXi4b7h88Lvvgmz0FVmaqEUZ49WvinW8g6tssw5Etqw0sbw+eLCO8Ea0JIbyvX1kb+lCpiC6lYf/D5zqWzgng2G1spBHeH60J8z4JEQuvKWsiqvvI9o0nQOE1nhVrkoA5CFic8JoDys+0QeH9GVqR19ULr1qtQEAAYGenRdMm4Quvn+8HqK1VyJEgGVa7VDC78Iq8U9EHv29i01r4wnvP54XsQ/y48bAyabkwwmtjo4C/P5AxgwYN34/Fx7OHYAMt4iiBI6PmotGLAwi0UiHQwQblHFKFEd5Tp5WyD+LEhU5uOuF9/+6tbMM2f3H0rVUea15ckX0QbSxyLh1GeP2+6vogIoTNmoQvvN6+r6G2UiFV/MRY5VIuhPBu2arC9++6PmTMEL7wdru/29CH1vGyhRHe23d0fRBt9K2mE15fv29yHHb/VEPdUplxxvuB7IPC0Q7rXCqEEV79mnBJqoF7gmX4umulgeUZD53wRrQmhPDu268y9KF+OZ3wfnj+VLbh4OQM/06jIxXeH62JyFe3aTX0EV5T1oRpPeDV5iRA4TUnTbZFApEToPBGzuiHNSi8JgIMdbleeN/56nZFJUoYsfC+1/jLOnlsnKJEeO/e0/VB7L2KSHiv++vebuSksgtXeL/66drInVMnvFbnDxpGLIS3zqeT0J+KG57w7t4b9KoKvfAq37+RbQTk1Qnvss93DG2GJ7wvX+r6YG8fsfA+VX+SdcRmtdDCu2y5Cpr/dzIi4W3vc8TQh/CE9+z5oHPM9MKr+O4nrwkspRPeo35e8mdrhTJc4dWviXRpdcJrt2eF4Z564Y1oTQjhXbch6KQPvfCqvJ7INjQJjRPeH60J8z4JYVvTC68payKq+8j2jSdA4TWeFWuSgDkIUHhNpEjhNRFgqMspvCHP4TVFbvTn8FJ4AQqv7mxmluhDgMIbfeaCPYkdBCi8Js4zhddEgBReRngZ4TXqIWKE1yhMMaYShTfGTBU7aiEEKLwmTiSF10SAFF4KL4XXqIeIwmsUphhTKSqEV5xqc/+pWr4QxpiiUgDp0lgFnattzEWsQwIxlACF18SJo/CaCDDKhDf497fit3/o73ND/1vI/0OI18gyh1f3amHm8OoWaWRrwrxPQtjWKLxRTfj3th8Vwvs9QIPpCwLh5WVc/krqVFp0amVleHPi7yXAu5HA7yVA4TWRN4XXRIBRILz3Hirw6L4Kr3y0SO6iQLrEr5H5yiLcffQYaRxs8cTRCReb1MX6G6ehTuEE1dPXaJivDGo6uhq0ODK58VV/RwPvfeCmNWDHlyfgpjXzPgfhtUbhjXrGv/MOUSW846YH4tkz44Q3nasWvTr9mvAGqtXIXaaV4QhQ8WbFtKlc0Kt9fRQrmAORfS5Yi4j0svV7sHHnMXi9eoP48eLIN6N2b1MHCePHNXo6GnUcCfFq482LRxp9za9U3LLnBGpWKvErl/KaaECAwmviJFB4TQQYBcIrNih9em+N5166qG3W5K/kEVQ7HjxHGistVCnT4VCXtvDcsR6fk8WXdbr9VQPucbNQeHlKQ4QLOrI/gsz7JDDCG9U8/3T7liK8hzZMgYtzIim4h078i0Hjl8gXM4nz7YUQR/R54kTxMXr6Cpy+eANDejZHjsyueP3GFzOXbMa9h8+xcdEI2NpYRzpN9x+9wPjZa2Bna41WjaogT/YMkV7zKxXEq73/rtUNx7fM+JXLeU00IEDhNXESKLwmAowi4T18WAWft7rG9UdQ+Tx7AhcVoE6bGTNat8LEx6fg56R76cgIpyIUXh5LFuk5vDyWzLzPe2xuzdKEVz+XtVoNRmf3WihZJFcI4Q39edYMqVGxUV9sXjwC6dOmMCwFtVqDmu6D0LhWWdSv/k+kS2Ti3LXIkDYFbGyscfHqHQzt2dxwzcJVO7F262EkShgPdauWwoKVO3Bw3WT5+fwVO7B9/yn5cqki+bLJF02JF1YVceuInm3rYv/xi3ju5YNalUugbZOq6DJoBg6fvCT7On9CLyRLkijSvrFC9CJA4TVxPii8JgKMIuE9e9ZKvrDBKRGQLYUuwvv46VOIeMG75OlwpGs7TL11FBorJezef0W3YjUpvBReCq95H2e29gMCliq81Vt6oHf7+ihaIHu4wqv//MPHL1i4eie2LR0dhtKsJVvw8KkXpgzr9MM1JOS4cpN+2LRoBFQqFao264/dK8dL+X3wxAtNO4/Gds8xiB/XUQrr42evsHf1BCmu0xZuxKrZg+Bgb4fuQ2ehcN6saFK7HP6q1gn1qpaWaRXePr6o0LA3zuyci2/fv6N0nR64cmAR13UMJUDhNXHiKLwmAowi4X31whpqNaBUAckcX0rhPfjwOawUgFWKtLjUvR2W7N8shVehBdpVakjhpfBSeM37OLO1WCS8AYFq7Dt6HmOmr8Se1RPg6GAXQnhDf77r4FmZArF4St8wlNZtO4x9Ry9gydR+P1xDx89exbZ9pzB5aEdZb8CYhShdLC/K/10A67cfwckL1zBjZFf52e5D5zBj8SYpvIPGL5b5xq0bVZGfHTtzFUvX7cGyaf2l8C6e3BdZM6aRnxV164gNC4fL8VB4Y/YjTeE1cf4ovCYCjCLhffncGg4OwMdPQKr4OuE9/PAZvmoVcEqVBhe6t8eig1tg9S0A/o626FihAYWXwkvhNe/jzNZigfCKNABRVEol0qdNjn6dGiF/rkxhNq2F/lzI8cwlW7Bz+dhwI7yPnr00iGxEGHsOmw0hvSK6K4parUbhfNkwe0x3mb7wzMsHI/u6y88uX78nhVgIb4f+U3H15n0Z3RVFoxGvr4+PDQuGSeFdO3cIUqdIKj/T/xw3jgOFN4Y/0RReEyeQwmsiwCgS3hdPrRGoBs5e1BhyeI89eg4raFEsc0aZw7vo8DZoVEq8ypeaObx8tTD8O42m8Jr3cWZrsUB49ZvSQg9Vf0pDRJ+/efcB/9TtgXXzhhqiqTr51KKG+yA0r1sBtauUjJDgx89fUblxPxzZONVwUoS45z91emDr0tHYe+Q8Lly5hanDO8s29hw+h+mLdBHewROWIKNrCjSrWyFM+xRey31sKbwmzi2F10SAUSS8GzapoNHoGtdvWlN4PYFCq4XGNYsU3pEfrkArTu9RKCi8FF4Kr3kfZbYWCQFLzeHVDzsy4RX1Js9bj/3HLmBEX3fkzpYer9+8x+ylW3D/8QsZZdVHj8NDuXbbYVy4cjtMFFhEcbNnTovc2TOgQ78pMoLs6GiP9v0m48XLN7oc3lOXMddzm0xhEKkK63cchbWVSh45FpHwimPSxGfnds2Dg70t13cMJEDhNXHSKLwmAowi4V23QfcVV3DhVXk9kT/rT2kY8emqoQ5PafgkWbjyWLIIFzSPJTPvsx7bW6PwAuKor5WbDsh822cvfeTmsjIl8ssNY/HiOPxwiTToMALN6lRA5TKFQ9Q7dOIS5q3YLtMTJs5Zi12HziJZUidUK/8Xlm/Yhz2rJsj6IuVh696TCAxUy3zeUf1aI0niBBEKr0hxaN17Im7efYz543shZ9Z0sX0Jx7jxU3hNnDIKr4kAKbx8tTBfLWzUQ8QXTxiFKcZUiunCGxNAi/QIpVL3Eo7zl29j8rx1WDd/aEzoOvsYBQQovCZCpfCaCJDCS+Gl8Br1EFF4jcIUYypFhfAGBGpw9EwAvn8z7k1r9g5AySJWsFYpYww3Yzv67v0nVGjYB2vmDEYG1xTyZAaxSW1g18bGNsF6FkaAwmvihFJ4TQRI4aXwUniNeogovEZhijGVokJ4xeDVGt0bJo0tqv9HQI2t/zvriVcGf/76LdxbCpEV+bc/KiI3V7x8QqPWIFumNBjZt5V8AxxL7CRA4TVx3im8JgKk8FJ4KbxGPUQUXqMwxZhKUSW8MQYAO0oCv5kAhddE4BReEwFSeCm8FF6jHiIKr1GYYkwlCm+MmSp21EIIUHhNnEgKr4kAKbwUXgqvUQ8RhdcoTDGmEoU3xkwVO2ohBCi8Jk4khddEgBReCi+F16iHiMJrFKYYU4nCG2Omih21EAIUXhMnksJrIkAKL4WXwmvUQ0ThNQpTjKlE4Y0xU8WOWggBCq+JE0nhNREghZfCS+E16iGi8BqFKcZUigrhFefOfnrwAAqt2igOCqUKjukzIBof1GDUOFiJBIwhQOE1htIP6lB4TQRI4aXwUniNeogovEZhijGVokJ4vwdo8HF8P1g9vm0UB3X6nIjbexRsrS3vHF6jALBSrCJA4TVxuim8JgKk8FJ4KbxGPUQUXqMwxZhKUSW8n4Z0hNWD60ZxUGfOizhDpv+S8LbpPQlnL92Q9wn+RjPx8+ntsxE3glcDP33hjTfvPiBfzkxG9dGYSoWrdMC2ZaPh4pwoRPXrdx6h9/C52Lta9zrhiIqp10fU7l/VOmHt3CEQryVm+fMEKLwmzgGF10SAFF4KL4XXqIeIwmsUphhTKaYLb3DQpet0x7QRXZA7W/pI+Xtu2Ad//wC0aewWaV19hdBCHfrCiIQ1UK3Gp89fkTB+3F8SXmOvp/AaPZV/tCKF10T8FF4TAVJ4KbwUXqMeIgqvUZhiTCVLFl7xdjOvV28wtFcLOR/6nyuULoSeQ2fDykqFmpVKoFvrOpi5ZDP2HT0v6+XMkg6DezRDHEd7dBo4DRldU2Lr3pMY2dcdJQrn+mGEtn3TahBvVvvq9w0tG1RCi3oVETzC22XQDGTPlBZXbtzHq9fvkCpFEkwb3hkqlRJCmE25/v6jFxg8cQlevX6LlMmSYOzANkiZzBkiwtvFvRbWbD2MN2/fo0X9imjbpKocx7EzVzF1wQYEBAYiVXJn+RY4Z6cE+FE/Y8zijqYdpfCaODEUXhMBUngpvBReox4iCq9RmGJMpdgovEKAR01bgaTOCWWEd/ehc1i8ZhdWzPSAvZ0N+o2aj6TOidCrfT10GzwT795/xMJJfWBnaxNphLZCqYIY3rslnr54jRrug7B7xTi8ff/RkNLQfcgs+H74hEWT+0KpUKCm+yD079IIfxXIIYX3V68vmj87aroPRmf3mihbIj8Wr9mNc5duYsHE3lJ4K/9TBB7dmuDxs1eo0XIQzu6aiy9f/eDWbABWzBwopX7Zur24dP0uZozsih/1M8Ys7mjaUQqviRND4TURIIWXwkvhNeohovAahSnGVKLwuqHf6PnIkj61jMiKcvL8NRn13LRohBS/7JnTGpX6IIR14cTeyPX/lIpGHUeieb2KSJEscQjhzZszI5rXrSDv1XXwDJT+K6+MNJtyfeG8WVGz1WCc2zVXthsQqEZAQAAc7O2k8C6a1AfZMqWVnxV164gNC4fj3//uYvehs5g/oZf8dxGVLuLWEZf3L0Kv4XMQUT9jzOKOph2l8Jo4MRReEwFSeCm8FF6jHiIKr1GYYkwlCq8bxMa3ymUKS+kU5drtR+g6aDqObJwmhbdYoRyo61Yq0jkVwiokWaQRiNK+3xSUKZEPWTOmCSG8xQvlRB23v2Ud0b7+Z1Ouz5whNXoMmYmD66eE6WfoTWv6nw+duITZy7YgQbDc4s9f/LBz+VgZAY+on5GCYIUfEqDwmrhAKLwmAqTwUngpvEY9RBReozDFmEqWLLxL1u7G0+evMay3Lod32sKN+PDxs8zpDZ7SICK8mdKlQquGlWW9E+f+w/RFm7Bx4fAQQhrZpAphXTq1nyGS2rjTKJkvmyypk9HC+6vX/1UgO6q39MC5XfOgVCoQEBCIZy99kC51MhnhDX5Kg/7nqzceYP+xC5g5uluYoQUX8dBiHhkHfv5jAhReE1dIdBdeBRSGEWoVWkD8XzMal7fvFFixSol3vrp+J0qoRdMmGjglDOr4Ff83aPxqP95r/GWdPDZOWO1SAfGVujyvG7cUWLdBZRhl/XLeyHewH1ReT+S/qdNmxozWrTDi01VDnRFOReAeN4uB1so1Kty9p+uDQgG0aKaGa5qgPviqv6OB9z5c938n6zip7LAyaTnksnGSP3t5ActXqfDVT9dG7pwaNHw/FlbnDxrueWTUXNT5dJLCS+E16omk8BqFKcZUsmTh3XnwDNZuPYyVszzw7bs/RIqBOMFBCO+4WathY22Fnu3qYe+R83JD28pZg2BrY41ew2cjXZrkcqNXaPH70cQK4RVR4v6dG+H5Sx9Ub+EhjyLzfuNrtPD+6vW1q5RE9ZaD0LJ+RdmHFRv3S3HX5/CGJ7wi3UHk866aPQhpUiaVke0d+09hYNcmYcb9MxxizOL/Qx2l8JoIPtoKrxZQvnyCby+fwcHODt++f4dN4iTQpMqgM7hoWii8ZSCs2xxy89UP8FypwsuXuvm2tweaNVEjRbIgcX8U8BGNXh3AU/UnWcfVOh5WuZRDGpXuGJ/HTxVYtlwFjUa3YDJm0KJJQ3WIJbTjyxO09zliWFGt42XDsEQFof9ja/deFc6eD1pzfav9B+dl/aH47ievCaTwGvU0mmNNGHUjVvotBCxZeP2++aOzxzS8//AZyZI4IX3a5HLD2Ig+7jh98Tq6DZ6F0n/lwTiPdoZTGrRaoEDuzBjQpTEc7G1/SngLVmqHrq1qY9Ou4/IYstaNq6BhjTIhTmn4UeTU1OvvPnyOIRMWw8v7LdKkdAlxSkN4wivO5dWf0iD+IHB0sJMb28TZxIzwRt3jR+E1kW20FV4AqjP7sXn+VKRVaeClVqJq3UYIqNw0OvsuKLwUXmuFEutcKqCwre6w9tBrIl1aDdwTLIPdnhWGp/eMx2Q00lz/5ai/JqEz/DuNhiaFa4S/ESKL+pv4qyTSyym8kSKKURUsSXhjFHh2NtYSoPCaOPXRXXi9l05CapUuoufv1ozCy5QGRngBhE5zofCa+IuQl/80gagQ3oBADT4c3guV3xej+qN1jIu4pcvDWsVXCxsFjJViNAEKr4nTF92F9/uyiYinBD5oAPtqFF4x3czhZUoDhdfEX3y83GQCUSG88veb5uc2aqiU0TfFTQ95zIxVOHvpZrjMB3ZtjCL5spk8H2zA8glQeE2c4+guvFcXTZabovy1QJHaTRjhpfAywssIr4m/9Xi5OQhElfCao29sgwQskQCF18RZje7Ca7t8ohzh9QAlMtWk8DLCy01rYg0wwmviLz5ebjIBCq/JCNkACfwUAQrvT+EKWzm6C+/6eVOhhgIZVGoUYoRXTiBTGpjSQOE18RcfLzeZAIXXZIRsgAR+igCF96dwxTzhfbhkMhyhRWorLTet8RxeHkv2/0eYwmviLz5ebjIBCq/JCNkACfwUAQrvT+GKecKrT2kQPecpDXzxBM/h1T3DFF4Tf/HxcpMJUHhNRsgGSOCnCFB4fwoXhddEXJFeznN4eQ4vz+EN/zHhObyR/vqIURWiQng1Gi0ufngDjZGv1BTvo8yfIAliwEENMWpu2dnoSYDCa+K8RPccXkZ4w0bzmMPLHF5GeE38xcfLTSYQFcL7PUCDqvd2Q7x+3ZhS0DYpNmeoAFtrnsNrDC/WidkEKLwmzh+F10SAoS5nhJcRXkZ4GeE172+V6NlaVAlviTtbcOH7a6MGXdwuGQ5mqvZLwtum9yScvXRD3kdElpXBwsSnt89G3DgO4fbh6QtvvHn3Qb5G91dLoFqN3GVaoXGtchDn8OrLoROXsHXvCcwc3S3cpm/de4IeQ2ejeKGcGNS9aYg6V28+wNiZq7BipgeePn+FYZM9cefBUyROFB+9OzTAP8Xyyvonzv2HMTNWwufte+TOngHjPdrJOuIVwUMnLsWR05dhb2eLzu41UdetVIRDPHr6CvqOmochPZvDrWzRSFEE53b9ziP0Hj4Xe1dPiPS6n6kwevoKJE+aGC0bVPrhZZeu3UPzbmNkHfFKaK02aP6b1i6Pvp0aRnj9mYs34JomGVycE/1M18xSl8JrIkYKr4kAKbzynGRRyjmkwjJnCi+Fl8Jr3t8q0bO1mC68wamWrtMd00Z0Qe5s6SOF7blhH/z9A9CmsVukdfUVQgu1EN5CldpLqV4ypS/Sp00hq/5IeC9fv4dR01Ygg2sKxHV0CCG8arUG1VoMxLQRnZHRNSWqt/RAnSp/S6E+deE6eg6bheNbZiIgMBAVG/bBpKEdUDBPVkxbsAEvX7/FlGGdMGPxJty69xST0AfiTgAAIABJREFUh3aAt48vmncbi8VT+sr2wivdh8xCkfzZZJ8XTuodKYvg3MT4P33+ioTx40Z63c9UENJevYUHFkzsjTQpda92j6xs3HkM+49dkNcYUzoPnI42TdyMWiuivdBzb8w9IqpD4TWFHgAKr4kAKbwU3lLVULdUZhz185KrgcJL4TXvb5Xo2ZolC+/CVTvh9eoNhvZqIeHrf65QuhB6Dp0NKysValYqgW6t62Dmks3Yd/S8rJczSzoM7tEMcRzt0WngNCmLW/eexMi+7ihROJdhIoXwFazUHgM6N8KB4/8ahPFHwisipCISu3zDfhlhDh7h3XXoLHYfOovZY7pDtL1lzwnZPyuVyHIGClfpgA0LhuPm3cfYvPu4Qe6EdP5dqxvO7pyD2q2HYFT/1gaRmzB7jRxHxxY1wizADx+/oGHHEdi1YhyqNR+IxVP6IUniBLLex89fMWzSUly98QAO9rYY0LUxlEplCG7l/i5giPCKtoZP8YSIXosoe5WyRdGxeXXZVhG3jujZti72H7+I514+qFW5BNo2qYqAgEAMmrAYV67fh1qjQb4cGTGirzvsbG2weM1uPHvxGsN66+YushKe8LbtMwk1KpZA5TKF5eX6n72832DW0i1Imjgheneoj0J5skbYdzG/bZu4yf4c3jBVsjC1UHhNJEjhNREghZfCS+E16iHipjWjMMWYSrFReIUAiyhrUueEMsK7+9A5LF6zS6YR2NvZoN+o+UjqnAi92tdDt8Ez8e79Ryyc1EeKWPAipDRf+Ta4cmAx6rQZgs7utWTKQWQpDaKNecu3hxHeHkNnSaGuVblkmPVz7dZDdBsyEwfXTZHi/tb3AwZ2bWKoJ4R3+YyBUlyPb5mB+PEc5Wfrtx/Bxat3MGFw+zBtrt5ySKZEdGtdG3OXb4OtjTXcG1SW9URagRDcAV0aQ9y7TZ9JOLZ5OibOWWvgFjylYfjkZTKtQAjq5y9+qN9+OPp3biTH81e1TqhXtTS6t6kjo84VGvbGmZ1zcfzsVazfcQSLJvWR106etw5lSuRHvpwZ8fjZKzTtMhonts406ln6GeEVAlythYf8A0Z8G/DDvlfthJqVS6B3+/pQKMzz+msKr1FTGnElCq+JACm8FF4Kr1EPEYXXKEwxphKF1w39Rs9HlvSpDTmjJ89fw9QFG7Bp0QiIr/yzZ04bbuqDEN685Vrj2uGlOH/5NoZOWoLty8bg+Nn/fpjDG5Hwlq3XE7PH9kDm9KlCrJ/nL31kdHJw92YoWiA7pi3cKCPAQsL0pVyD3pg8tCMadhiBi3sXSHEXRUSmDx7/F7PGhM0nrt9uOMZ6tEW61Mkg7iG+5t+6dJS8TrQ3Y2QXZM2YRv784dMXxI/rGOIPheDC+0/dHpgxqityZHaV9QW/7/4BUnqF8C6e3NfQVlG3jtiwcDhev/FFr+FzMKxXS5lWIYQ7eBGRYTEHKVwSR/o8mSK8kfV97rieRqc+RNpRABReYyj9oA6F10SAFF4KL4XXqIeIwmsUphhTicLrBrHxTUT9RPqAKNduP0LXQdNxZOM0KbzFCuUId+NXcOEV14locM6s6eCaKplBeEVesRA/IXOiPX0JL8IrosX71kyEs5MurUCUOw+eyXaFOJb6K4/8twUrd+Cl91tDqob4NyGRa+cNlRHeQxumyLQJUVZuOoD/bj4IE+F98PgFargPgoO9neFeX/2+Yd28ociWKS3yV2iLbctGI2Uy5xBrOXhkPLjw5inbCjtXjDPUX7J2N+7cf4bxg9pJ4V07dwhSp9Dl4wb/ed/RC1iz9ZBMhahYuhD6d25skPVKjfthwqB2kmlkxRThjazva+YMMTqXOLJ+is8pvMZQovCaSMn4y6PrKQ2tWmiQOpV+exngq/6OBt77cN3/nRyck8oOK5OWQy4bJ/mzlxewfJUKX/10X8XkzqlBw/djYXX+oAHGkVFzUefTSQovhdeoB4TCaxSmGFPJkoVXSNfT50F5oCIy+uHjZymKwcVNRHgzpUuFVg11X+eLExCmL9qEjQuHS+EVpynUcfs7zJyGFl4RJW3QfgS6tamN42euylMaRJ6uvuglVPwcnvDmLd8G+4MJ7zOv11LGxwxoI7/m15f9xy5i1eYD8Jw+QP6TSEuo2KivzOGt03YoPLo2RaG8WeRn4ut6kZ7Rvlm1EP2fPG894sV1CBG5FhvSRM6zSGMQEd4pQzsaZPPR05cy0johgpQGESWdPqKLob5oX61Wy5MSfiS8+k6JnOFew+bIPy5a1Kso/9lU4W3fbwqqlv8LVcoUke017jRKbgAMndLwM303x4NN4TWRIiO8JgIMdXl0FF6lEuhf+yb8bp5Ekrhx4P3xE1R586Ge/TMKL4AdX56gvc8Rw0y2jpcNwxIVhAI62d+9V4Wz54NysPpW+w/Oy/pD8d1Pfh5I4TXqIaLwGoUpxlSyZOHdefAM1m49jJWzPORxXY06jpRfTQvhHTdrNWysrdCzXT3sPXJe5sWunDVIRmJ7DZ+NdGmSo4t7rZ8SXjHpQqpFexldU0R4LFlEwlumbk/MGReU0tCi+zjUr1Yalf7RbbrSly9fv6Fioz4yelowdxY5ls9f/eTRZPNX7MDl63cxZVhnmabQssc4rJzpAdfUyQzXi9MgytTriSVT+8l0Bn0R9UVKxJFN0zB2xioZmR7Rxx237z9Bq54TcHTzdJmqoOcWPMI7YupyaNQamcMr0h9EuoT47yL5skUovCL1Q/wBot9QN3jCEqRPk9yQWiJSGsQfHaGjzOE9XOFFeIdOWopECeLJHGWxWbCm+2CM7NtKCq/Y3Ne9TV2UKJwTP9N3czzYFF4TKVJ4TQQYQ4R3YJVz2DN9ENKqNPisVSBX87aok9GKwkvhNe8D8IPWKLy/DfVvuZElC6/fN3909piG9x8+I1kSJ6RPmxy+Hz5JiTt98Tq6DZ6F0n/lwTiPdoZTGsTmqQK5M8sop9iR/zMRXjFhIi2gcpP+yJnFNVzhFXK6dtthaDQaeW6sSqVCXbe/4dGtKboMmiH7IzatCfms0LAPrK2tQqyDSUM6oGyJ/Dh76SaGT/aEz1tfFBDSO7AtEsSPI08+GDZ5GQ4cvyjTFXq0rYvqFYqFaOPEuWsYN2uVPJ0hdKnVajC6tqqNvDkzyvN8xTFq4pQHsUGuWMEcIbg1q1ch6JSGT19kf/SnNIizf1vU10VqI4rwiuPcPMYtwt0Hz6BQKiWzUf1ayX4/ee4tI7Ints4warNYeMJ7/9EL9B4xV86jODLu46cvKFeyANzKFcUcz21Ytm6PlGG3cn8Z3XdzPJQUXhMpUnhNBBiDhFc9rz+c/v9CIu8GHSi8/587RnjN+wxE1BqF9/dw/l13sSTh/V3Mouo+YoOZEFVxLFlsL0vX7sHDpy/lSQqWVswqvCIHReSZiMObRRG5JOu2H0aq5Elk4rYImVtaofCad0aja0qDiPC+nd0fH7RKpLXSIqBRewovhReuaYJe02zeJyFsaxTeqCb8e9uPCuENCNRg8atb+KQNMGowCZW2aO6SGdaq2P1q4YBANao1H4CZo7rJF1PE1iJSKcTmu/kTeiFtKheLw2BW4RVJ3iK5Wrwq7/yVW+g8cBomDGoP8cq+m3efGPU2kZhGmMJr3hmLzsJ7baYHHJRafNQokI0pDYaJZ4TXvM8AI7y/h+efvktUCK8Yk1rzc3+EqYK9EvhPM/mT9xcpBCJgJ87UtbbSvXAithXxymSXJInkmcBis1y3IbPCRSDyj/WBzZjEyKzCK96McWzzNJkHIt78IXYKipwdkbQuDmc+t2tuTGJjVF8pvEZhMrpSdBbeUzM8EF+pe294pubtGOFlhJcRXqOfbFYMTSCqhJekSYAEwidgVuEtVFkI7wx5llvZ+r0wsEtj/FM8H0QCe8maXXFhzzyLmwcKr3mnNDoL75kZHhBf/BWyUcO/EXN49TPPCK95nwFGeH8Pzz99Fwrvn54B3j+2ETCr8IqUBvE+aFtbG+w/ekEewiyO0Viydg+Onr4sXx9oaYXCa94Zjc7Cq5k3ADbQIo4S4Ka1oHmn8Jr3GaDw/h6ef/ouFN4/PQO8f2wjYFbhffHqDSbNXQtxVp043y1P9gzy8Gdx7tqsMd3l0ReWVii85p3R6Cy8CRb0NwyWwkvhbdFMzZQG8z7+sao1Cm+smm4ONhoQMKvwRjQe8VYUK5VlJoFTeM27iim8ZSDe12COHflf/QDPlSq8fKl76YO9PdCsiRopkgVtankU8BGNXh3AU/UnWcfVOh5WuZRDGlVc+fPjpwosW66C5v8vmcuXV4NaOW7A79NHONjZ4VugGntTxEV731OGhcAXT5j3mdC3Zo41ETU9Y6u/QoDC+yvUeA0J/DoBswrvV7/vmLd8G46dvYrXPr6wsbGGi3MilC2ZH83rVpA/W1qh8Jp3Rim80Vt4/y7qj0pXe2HD9dvyJRzedgnwfeRwtP94lsJr3kchTGsU3igG/Jubp/D+ZuC8XawnYFbhFe/Fvn77EaqW+wtJnRNCo9HixSsfbNt7CkULZJdv8rC0QuE174xSeGOG8HrdvYHUKi008Zywod8wCq95H4NwW6Pw/gbIv/EWFN7fCJu3IgEAZhXe4tW7YPeq8YgXxyEEXPEuZfF+5zM75/w26OJd3sMnL8Oofq1RoVRBeV9//wDkLd8mxCsD/ymWF1OGdZKfi3d6e67fB5GCUblMEXh0bQKVSomnL15j4NiF8tV94pzhEX3dZX6yKBRe804phTdmCO/Xe9dhq9DCOn5iCq95H4EIW6Pw/ibQv+k2FN7fBJq3IYH/EzCr8FZtNgDbPceEef/y5y9+qN7CQ57a8DvKsvV78e/VO/B5+x4tG1Q2CK/YQFe9pQdObQt7mPLZf29i0ITF8Jw+APHjOqJD/6moXKYwGtYog6ZdRqNYwZxo1agKjp25AnE48741k+Th1BRe884ohTdmCO+hm7fwRQMkiBsfPsOZ0mDepyD81ii8v4Py77sHhff3seadSEAQMKvwrt12GM+8Xsu3dDgljCcJe/v4YuaSzcifKxNqVirxW6jfvv8UmdOnQuteE1GvWmmD8Io3hwiR3bt6Qph+jJi6HMmSJEKbxm7ysyOnL8to7+ShHVGxUR8ZndZvvKvTZij6dWqIgnmyUHjNPKMU3pghvP/euoXESg3UcRLi8mAKr5kfg3Cbo/D+Dsq/7x4U3t/HmnciAbMLb7kGveHzxhfivdQO9rZQqzUQ72YWm9XEz+INVfpyevvsKJ+BVj0nhBDe/24+QJdBM+CaOhnuPXqOzOlSydcgi3dGt+o1AQ2q/4NyJQvIfgk5btljvEx3GDHFE1uXjjL0t/eIuSicLyvqupWi8Jp5Fim8MUN411y7DTUUyBQ/Lp4No/Ca+TGg8P4OoH/4HhTePzwBvH2sI2DWCO/+YxehUop3UUVeypTIF3klE2uEFt4Hj19g+cb9aFSzLFxTuWDu8u04cuqylNnGnUahXdOqKFkkt7yr16s3qOE+SL4vevrCTVg3f6ihNx7jFiFT+lTy5ImAwP+f12RiX819uXid+udDO6FaEhTNVldrDoe67rBS6Y6pio7l2Us15i3W4p2vro+JEmrRvpUCqZIFHWt38v0r1Hq2B+81/rJOHhsn7EznhiS2dvI4r9MXArFybdAYG5b3Rp4D/aDyeiLrq9Nmxqw2rTHs4xUDgjHORdHDJSfEe+UD1BrMXqjBnXu6NsSS9nA7h/jzg87hfd2wA2pnsMJ1/3eyjpPKDhtTVUSx+Enlz3ceBGLBUuCrn66N3Dk1aPRhHFTnDhjueXT0XNT+eBL6FVTeIRW2uFaEtZUSao0W+46osWN30Dg6V72P1OsHQPn+jWwjIG9x9KtdHks/3TG0uSxZGTR0zgCFAvD9qMHMBZoQx5K1bQlkSR/E8vrnd6jxeG+IY8m2pqmIrI4JZZtXbwViwRKF4Vgy/SkN9+7chCO0SJkoETb1H4a2H4JOaWiXIBumpCwGa5USarUWazarceps0Dj6V78Gp6X9oPjuJ+8RWKoa6pbKjKN+XvJna4USW1JWQvlEKeXPoddEurQatE7oCZvdyw3jPjd4MhoEXv/lNaFJ6AxVz3FwSJ8x3Mci9JoQfNu6a5Enm9Vve4zMsSZ+W2d5o0gJiOechQRI4PcRMKvw/r5uG3en0MIb+iqxOa1AhbYyH9dj/CLUqlRS5u3qhOUZ2vWdjKnDO2HQ+MXYtWKc4fKug2egROFcMsLr8+G7cZ35zbVkLP3kXth4TjTcOaBqc2iqNoMy+voufN5osWyFMoTwtmiqgXPioE7/6+eDhi/3hZCbdSkqIqHKVgrvf9eBteuD/mdSv5w38h0MKbwzW7fG8E9BwjsycRG0jZ9V5p+LbyI8VypDCO/AKucQ2YsnViUrj3x2iSXvp8+18FyhDCG8Dd+Pg9X5IOE9Mnou6gQT3nIOqbDCpSyUSl0fTp5RYPfeoHF0cruPNBtCCm/fWuWx7HOQ8C5O8g/c4qaVwvvlK7DYUxFCeAXL1DqPlOX+9w9o4LU/hPCuSVYe6Wx0KUkPHgFLPJVhhNfqwXX5eXinNLSJnw0jExeGUrIEduxS4Mz5oPnrW+0anJf9WHjXJ6uIYg4u8h6h14QQ3lYJlsF2zwrDOM4OmoyG6pDC+zNrQghvYJexUKQK/+U4odeE4OveXIMM6X7fg22ONfH7ess7RUbAOb5tZFX4OQmQgBkJmFV4xTFk2/adxNa9JyHeunZw3WR8++4vc2FbNar8218+EVp4xSa2Dx+/IINrCokwICAQ+Su2xbHN0zFn2VYkiBcHnVrWlJ/tPnQOm3Ydw6ShHVC2Xi+c2j4LdrY28rMqTftjZF935MuZiSkNZlyMoimmNMSMlIYfCS9fPGHmh+L/zTGHN2q4/qlWmdLwp8jzvrGVgFmFd9HqXVi79RDqV/8H0xZuxI2jy+Srhdv2mSRPOejVvt5v5RxaeE9fvC6jtStmesgXYsz13IaTF65h7dwhuHTtLvqOnIflMwbC0dEebXtPkvm/tauUlPm9+XNllhva9h09j+mLNmHPqvFS4HlKg3mnlMJL4RUpDetcKqCwrS49JPSaEBFe9wTLYBcswnvGYzIaaUJGeFe7VEB8pe6P1Bu3FFi3ISiVI3TUX0R4/TuNhiZFxK8/X7lGhbv/Y+88wKMo+jj8291LJ42QEEoIIAhI7yigFEMXpSmggFRFBAsKCCqIIk1EEUWlha4ifBYMRaqKFBFEmnQIkBAISUgg/Xa/Z/fgUgjkkt2Ey+W3z6MPd5mZnX1nbva9udn/3Frmos7wcmthYz/7xa00Cm9xa3Fe7/0mYKjwdug7Bp9/+AoeqFgONVs9rwmveqiRG557eYo2k1oYhxpF4dS5S0hPN2trigVRwPQJw9C+VRMs/mY9lq3ZhOTkVNSuUVl7aE2NraseS1ZvxIIV67SH7p7q0EKLxKD+xB0ZdQ3qphpHjp9DUNkATBk3BDWrVdTyUHiNbVEKL4WXwpvzZ4ozvMaONfe7NArv/W4Bnr+4ETBUeNVNHf5a/6U285lZeNVlDQ8/MQIHNs13OL4UXmOblMJL4aXwUniNHVXsszQKr322C2vluAQMFd4eQ97Vfvbv0LqJVXjVBy3UHczUCA7fz3/P4UhSeI1tUgovhZfCS+E1dlSxz9IovPbZLqyV4xIwVHh37TuCUe98pv3c/9c//0HdtvfEmYuIiYvH3A9fRdP6NRyOJIXX2Cal8FJ4KbwUXmNHFfssjcJrn+3CWjkuAUOFV8WkPqT206adCL94RVs7G1yuNLq2b46SPp4OSZHCa2yzUngpvBReCq+xo4p9lkbhtc92Ya0cl4Chwqs+2DV9wgt30Iq/kYgJU+fjsymvOBxJCq+xTUrhpfBSeCm8xo4q9lkahdc+24W1clwChgjvuQuXof732qTPMXvSiDtonbt4GZ8tXIu/N37tcCQpvMY2KYWXwkvhpfAaO6rYZ2kUXvtsF9bKcQkYIry/7T6Ir5b9jH+OnEIJD7c7aKkbNqi7kr08yLKpgyMdFF5jW5PCS+Gl8FJ4jR1V7LM0Cq99tgtr5bgEDBHe23gGvjYNi2ePc1xaOVwZhdfY5qbwUngpvBReY0cV+yyNwmuf7cJaOS4BQ4VXxXT89AVUeyBIIxZxORq//v43gsr4o02LBg5JkcJrbLNSeCm8FF4Kr7Gjin2WRuG1z3ZhrRyXgKHCu+z7Tfgi9Af88eNcJNxIxBMD3kJAKV8tcsNzPUK0GL2OdlB4jW1RCi+Fl8JL4TV2VLHP0ii89tkurJXjEjBUeEN6v4FP3ntZi8OrbtO77tdd+O6riTh74TJeHDMLm775yOFIUniNbVIKL4WXwkvhNXZUsc/SKLz22S6sleMSMFR464UMwf6N8yGKAgaPnoHmjWthUO9OkGUFDdoPxT+/LnA4khReY5uUwkvhLarCK6gfBe1/GYeivqEohnxI1FL27BURtkG0ljeiyykEr34LYly09l5a/RYY070dQm8ct6ZZ4N8aHd2D76ibIZViIfkmQOHNNzpmJIF8ETBUeNUZ3jnvj4SXpwc6PzcWPyyegopBgTgTHokho2dg6+rZ+aqkPWei8BrbOhReCm9RFd5Ycwo+jPsb547/B6V8KZS4EIsxTbriISdfQz4kFF5DMNpNIRReu2kKVqSYEDBUeJev+RUfffktBEFAx9ZN8OFbQxF3/QaeGzlF22b49ReedjisFF5jm5TCS+EtysLbO2ojbmzchRuBXvAUnfFF6+dRx9nPkA8JhdcQjHZTCIXXbpqCFSkmBAwVXpXZqbOXcDMpGbWqVYIkiUhLN+P7ddvx9BOttdeOdlB4jW1RCi+Ft6gL7+nIcCT5lYCf5IrlpUMovDYMEQrUxR9Z14OoK0GEbEtEbCiqyCSh8BaZpmJFHYSA4cLrIFxsvgwKr82obEpI4aXwFnXhjTx8DKkeLnCuEEjhtelTD4jnT8Dpu89xPDYewa5OOOXpj6qj3gMkk40lFL1kFN6i12ascdEmQOHV2X4UXp0As2Wn8FJ4i7rwJobtRLqLCd7xqZgxdBxneG0YIsQzR+EyZxx+jEtFsEmBUqYiqk/6nMJrAzsmIQESsI0Ahdc2TndNReHVCZDCC/kWgxD3IIT6U3iLuvDGbv8LZlcneJicMbfDUAqvDUPEbeGNSkxCoATIVWoh+dWZFF4b2DEJCZCAbQQovLZxovDq5GRrds7wUniLuvDG7NwPWX1+ofGDXNJg4wf/tvD+mZACVwA1qlUHRs+i8NrIj8lIgARyJ2C48Kabzdj/70lcunwV3Tq21GpwMzEZHu7qMOZ4B2d4jW1TCi+Ft6gL75GkaCiiAD+TG4XXxuHhtvCujUtFeQk4710aXWYupPDayI/JSIAEcidgqPCeDY/E8HGzER0Th6TkVBzZHopLl6PRc8i7+GrGaNR56IHca1TEUlB4jW0wCi+Ft6gL7+HUGO1DwSgNto8Nt4V3e3wKJHX/jsAgNHz/Swqv7QiZkgRIIBcChgrvkDdmok6NyhjxfDfUaTtIE171WLH2V4Rt2YMVn7/tcA1C4TW2SSm8FF4Kb86fKUeOw3tbeLfFp8IEBS1qPsQ1vMYOrSyNBIo9AUOF9+EuL2H72k/h4uyEmq2etwqvGov34S7DsW/D1w4HnMJrbJNSeCm8FN7iK7xKShIERYFStTaF19ihlaWRQLEnYKjwPvLECPwYOgX+fj5ZhFfdWrjfyCnY+eNchwNO4TW2SSm8FF4Kb/EVXiElSbt4RmkwdlxlaSRAAlC/TKv72RhzvDcrFGcvXMaI55/C869Ow5oFk3H89AV8ufQnPNKoJt55rb8xJ7KjUii8xjYGhZfCS+Gl8FJ4jR1XWRoJkIDBwpuckorPFq3Fdz9tQ2JSisbX3c0VvZ9sg5cHddOWOjjaQeE1tkUpvBReCi+Fl8Jr7LjK0kiABAwW3ttA1Unj6JjrEAQBpUp6OzRnCq+xzUvhpfBSeCm8FF5jx1WWRgIkUADCG3f9Bi5evorU1LQ7+Dao/aDDMafwGtukFF4KL4WXwkvhNXZcZWkkQAIGC+/8Feu0JQ1mswxRFO7ge2jrYodjTuE1tkkpvBReCi+Ft7CEN/NdShEEwLhHWnIdGMv6ueWahglIgASMI2DoQ2stnxqJjyeNQP3aVWGS1PDhjn9QeI1tYwovhZfCS+EtaOFVvfbCJQHXokUkJgEe7oCzs4KHasjGDmj3KI3CW2ioeSIS0AgYKrxdB4zHT0s+LFZoKbzGNjeFl8JL4aXwFrTwqoSPHBOQluSMCxEKSrgDN1PT0bmDGQLu/HXS2FHOUhqFtyCoskwSuDsBQ4VX3VHtevxNPNs9BN5eHsWCO4XX2Gam8FJ4KbwU3sIS3g0bJVyPt/Bu0kSm8Bo7nLM0ErArAoYK76Yd+/DuzEVIuJEIJ5MEqGuiMh3//LrAri7eiMpQeI2gmFEGhZfCS+Gl8BaW8O7eJeH8RcDbC6hWncJr7GjO0kjAvggYKryPdX8F3Ts9CjUaQ04xd5vUr25fV29AbSi8BkDMVASFl8JL4aXwFpbw/nfMBFkGnJwAk4uZM7zGDucsjQTsioChwtu+z5vYuGqmXV1gQVeGwmssYQovhZfCS+EtLOGNueqE5GRAMgGJXMNr7GDO0kjAzggYKryTZy9FpzZN0ahuNTu7zIKrDoXXWLYUXgovhZfCW1jCe+WyExQZ2P+vjOo1uKTB2NGcpZGAfREwVHgnTFuAX3/bh4pBgQjw882+hBefTXnFvq7egNpQeA2AyCUNGoEQ9yCE+lN4KbwU3sIS3o2bJKSmQgtNxofWjB3LWRoJ2BsBQ4V35rxvIIniXa/x9Reetrfr110fCq9uhFkK4AwvhZfCS+EtLOH9dnVGvHgKr7FjOUsjAXsjYKjw2tvFFUZ9KLzGUqbwUngpvBReCq+x4ypLIwHHrp2bAAAgAElEQVQSMGDjiVffnYuXB3ZDlUrloP77Xscnk192OOYUXmOblMJL4aXwUngpvMaOqyyNBEjAAOGd+tkKPNv9cVQoVxrqv+91vDXyWYdjTuE1tkkpvBReCi+Fl8Jr7LjK0kiABAwQ3swQT5+PwAPBZe/gmpKahsP/nUXDOg86HHMKr7FNSuGl8FJ4KbwUXmPHVZZGAiRgsPA26jAM+zZ8fQfXmLgEdHpuLHav+8LhmFN4jW1SCi+Fl8JL4aXwGjuusjQSIAGDhPe7n7dj9c/bcezkedSoGnwH1+iYOLg4O2PDyhkOx5zCa2yTUngpvBReCi+F19hxlaWRAAkYJLxJyak4cPgEXho3GzmFHnN1dUHLpnVQJqCkwzGn8BrbpBReCi+Fl8JL4TV2XGVpJEACBgnvbZC79h3Bw41qFiuuFF5jm5vCS+Gl8FJ4KbzGjqssjQRIwGDhLY5AKbzGtjqFl8JL4aXwUniNHVdZGgmQAIVXdx+g8OpGmKUACi+Fl8JL4aXwGjuusjQSIAEKr+4+QOHVjZDCe4tAiHsQQv0pvBTewhZeAYBi7Ac5j6WJZ47CZc44CClJWk4Kbx4BMjkJkECuBLi1cK6I7p2AwqsTYLbsnOGl8FJ4C054k5OBzVtNcHMREBWtoEI5AZUfSEPZMsZ+jvNaGoU3r8SYngRIIK8EdAtv537jbDpneroZG1fNtCltUUpE4TW2tSi8FF4Kb8EJb2ISsGS5hPq1JFyMUODsDDRslI5yZTjD26SJjM4dzBCgzngX/FHWz63gT8IzkAAJWAnoFt7v1+2wFhYTFw81Jm+b5g0QXD4A6WYZZ89H4rc9BzGkbxf07dbW4dBTeI1tUgovhZfCW/DCm54q4Oo1wM0N6P+cmcILgMJr7FjO0kjA3gjoFt7MFzR49Ay8OrQXalevlOU61XBlC78Jw4KP3rS369ddHwqvboRZCqDwUngpvAUvvKkpAq7FAEHlgE6dKLwqcQqvsWM5SyMBeyNgqPA2aDdU2z7Y2dkpy3Um3EjEY91fwf5N8+3t+nXXh8KrGyGF9xYBPrQWoZGg8Ba88D7c0IQLEQp8vYFKVdI4w0vhNXYgZ2kkYIcEDBXeJwdOwOMtG2Jwn85wd3PRLjcxKRlfLv0J23cdxE+hU+wQgb4qUXj18cuemzO8nOGl8Ba88D5YSUJKKiCZgFq1Kbyc4TV2HGdpJGCPBAwV3v2HTuK1iXMRez0BPl4loCgK4uJvwM3VBZ9NeQVN69ewRwa66kTh1YXvjswUXgovhbfghfeBChLSzcDBIzLX8N7CzSUNxo7lLI0E7I2AocKrXlxauhkHDp3ElehYpKalwd/PFw3rVIW7m6u9Xbsh9aHwGoLRWgiFl8JL4S144Y2KEiDLfGjt29WSFTaF19ixnKWRgL0RMFx4081m7P/3JC5dvopuHVtq13szMRke7hTewm58adcmuCzNCAWX2qU/0jr1g1A4UXfydbkUXgovhbfghTcy0jIIMEoDhTdfAzUzkUARJGCo8J4Nj8TwcbMRHROHpORUHNkeikuXo9FzyLv4asZo1HnogSKI6N5V5gyvsU1K4aXwUngpvNxpzdhxlaWRAAkYvLXwkDdmok6NyhjxfDfUaTtIE171WLH2V4Rt2YMVn7/tcMwpvMY2KYWXwkvhpfBSeI0dV1kaCZCAwcL7cJeXsH3tp3BxdkLNVs9bhVdd1/twl+HYt+Frh2NO4TW2SSm8FF4KL4WXwmvsuMrSSIAEDBbeR54YgR9Dp8DfzyeL8J4Jj0S/kVOw88e5Dsecwmtsk1J4KbwUXgovhdfYcZWlkQAJGCy8780KxdkLlzHi+afw/KvTsGbBZBw/fUGLw/tIo5p457X+Dsecwmtsk1J4KbwUXgovhdfYcZWlkQAJGCy8ySmp+GzRWnz30zYkJqVofNVwZL2fbIOXB3XTljoU1rFu8y6oAv7B2CFo36qx9bS/7/kXH85ZjqvX4lC3ZhVMn/ACSpX01v4+f8U6LPluI9RIE53aNsOEUc9BkkSEX7qC8VPn49jJ8ygXWAqTxwxCvZpVtDwUXmNblMJL4aXwUngpvMaOqyyNBEjAYOG9DVTdcCI65joEQbDKZGHCDv1uA/4+eFyT2oG9O1mFN/5GIjr0eRMfTRyOxvVq4JOvVyPyyjV8PGkEdv99FG/PWIgln74Fb08PLdpEp7ZN0eepttpyjOaNa2Nw387YsesfTZg3rvoITiaJwmtww1J4KbwUXgovhdfggZXFkQAJwNCwZCpPVXavxcYjJTXtDrzq7GhhHP+dCke1B4IwZPRMPN21tVV4N2zbi7Vhv+HrmW9o1Ui4kYjHur+C3eu+wLTPV6FMQEkMfbaL9rdtfx7QZntnTXwJHfq+iV3rvoBJssRs7Dl0IsaO6IPG9apTeA1uUAovhZfCS+Gl8Bo8sLI4EiABY4VXFUp1GYE6k5rTcTtMWWFxH/z6jCzC+9Wyn3Et9jrGj3rOWgVVeJfOGY/Js5doSy9CHm2k/U2NKTzwtena7O/kj5fgh8UfWPO8MXkemjaogV5dWlF4DW5MCi+Fl8JL4aXwGjywsjgSIAFjhbdtr9fxVMcWeLJ9czjnsF430L9koSLPLryfzP9eW5/7xovPWOsR0vsNzHl/JD74ZBle6PcEHm1WV/tbxOVoPDXobXwy+WV8On8Nvv1qojXPhGkL8OADQRjQqz2SU82Fek22nkxWgKStv0BaPMOaJb3rALj1GAhJst+t1i5eNuPrRUBMrKWOJX0VDBsElA/M2BFp5/Uo9Ly4HnFyqpamnrMffqrUGf7OrlAA7P7bjBXfZFxj75Ao1N88FlLEeS29uWI1zB06BJPi/7Gy+dC/GUYF1IYkCkg3y5i3UMHxk5YyRBGY0GUPvL8aZ01/pc9w9KhiwuHUGO09P8kVq4Pa42HP0trrk2fMmB8KJCZZyqhbW0bfuGmQ9v5qLWP7lHnoEf8H5FvvtHMPwprg9jCZRJhlBZu3y/h5fcZ1vPzEKVT47i2IcdFajrT6LTC2RzssTjhuLTO0TFs87feAtpteXIKCz+fLyLyr1tCBwIOVRGv6ozdj0e38BoSbE7T3Kjl5YW2FDqju7qO9PnTcjPmLLNvQqsdjD6ei48HRMJ0+rL2WvfywZtwkDLu+21rmMO+HMKv8IzCJluv4dq2MP/dkXMfYJw+h1OKxEFKStDzprbqiV6tq2J4Uob1WhXdtuY543Lec9jp7n6hcUcZg3yVwCVtqPeeed2ahd/rhfPcJ2dcf4mvT4FrZsjY/+5G9T6h8hw5SUKd6Rr+8nJyIJ86H3bVP5FhwHt4srD6RhyoZljTxyL8QPh5j7ROq8DqPnw2Ts7Nh58hcUE7jRLOmMnp3F7V+WxiHq3NG3ymM8/EcJFDcCRi6pKFBu6HaT/+F+XDavRowu/B+vfxnREZdw8TRz1uzqbGDv/lyIt7/ZCm6d3xUW7erHmp0iRfGzMLs90bg7ekL8cuyadY8o96Zg5ZN62gzvDEJFumyt0Md0OXf18MpNGNr4bQnBkDo2h+iaL/Ce+WqgkVLhSzCO2iAgoBSGXX+6+YV9I7cmEVuVpfviJImF014/zmkYNW3GTetnIT3syFD8F5ChvB+UKoZXvB9CKIgQFYULF4qZBHe8Z33wOfrDOGN6j0cPatmFd5VZduhoZu/1hXOX5CxeKmYRXj7xE2DKZPwbpsyDz2zCe+KsiFa+6hLg37bCfyyIeM6RnQ5heDVWYV3TI92CM0kvItKt0FXr0qa8CbcBBaEIovwDuwvo2JQBsuTyXF4+tKmLML7Tdl2qOJieZDzxBkFi0LFewrv6rGT8GJ8hvAO9X4IHwY001gqCvDDz8CuvZmEt+shlAq9t/CuLtMBLUuU0eqQvU/kJLy7356FPuaswpuXPqEKr3nUVEgVKuf4Uc7eJ1S+gwbIqFYl47qi05LQ49KGLMKbuU/oHSMKq0/orWd+8ptPHIbpk4w+oQqv/MYsiE4F86BzTuNEsyYynnoCWr8tjKOkZ8HIfGHUnecggaJIwFDhfW3iXPR6ohUeaVTLLlhkF95NO/Zpu76pD6aph/pQW4e+Y7Q1vDO+WAUfrxIYMbCb9jd1Z7g1v+zQHnB7/OnR2PnTXLi6WAaozv3G4f0xg9Cg9oNc0mBwS3NJA5c0cElDzh8qVdL27BURltuXoO7tEHojY9Z/gX9rdHQPBgT1FwdgyXIpy5eg/s+ZUa6MWvr9O8QzR+EyZ1yWGd7kV2cCkqnAKnXkmIBvV2fMsjZpIqNzBzMEFVQhHGX93ArhLDwFCZDAbQK6hXfxN+utNFPT0vH9LzvQonEtlC8bcMc35YG9OxYq+ezCezMxWXsAbfrbL6Bx3eqYNnclbiQmaaHJ9h86gTHvf6mt5/XwcMOwNz7S1v/26PwoBo+egYZ1qmkPtG3cvhefLliD9Sumaw+xMSyZsU1K4aXw3jfhfWUG5MAga4cWoGgz1LeP5asknLi1zEWdBHy+vxmVgjMSxJpT0DtqY5YZ3uWlQ1DH2c+QDwmF1xCM1kIovMbyZGkkYO8EdAtv7+GTbb7Gb+a9a3NaPQnVKAqnzl1CeroZkihCEAVMnzAM7Vs1we79R/HerCW4ei0WjVTpHT8MPt4ltNMtWb0RC1asg7oV8lMdWmiRGNTQauoyiLFTvsKR4+cQVDYAU8YNQc1qFbU8FF49LXVnXgovhfd+CG96hapY8dIorDt1ADBJQEw8nmjSGj3cK2tjgHpQeI39rGcujTO8BceWJZMACVgI6Bbe4g6SwmtsD6DwUnjvh/CqDzLOGTIYizathWwSISjACx37YJBndesP3BReYz/rFF4uaSi4HsWSSeBOAoYKb2pqGlav24Fnuz+unWnrzgNY+8tvKF/WH6MGd9d2XXO0g8JrbIvmJLwD+snw9cn46fhg6jX0vZz1obWVge3hLVrWWGf/qfKZkCg0yBalQZWbyQkHrZWf7NfsrnKjPrRty0NrmX++jogAlq6Qsj20NhWmvZut59z2wTz0TMiI0hDiHoRQfwrv/RTeL/ash0tCMpI9XfFKy+4UXmM/3nctjTO8hQSapyGBYkzAUOGd+NFi/HcyHCu/eAfnL0Wh+6C30fuptjh59iLKBPjhg7GDHQ41hdfYJs0uvEHlZAxp8CcuHjsAJ0lC9I2bkLt2Rp+kfVmiNFB4Le2Q1weUzqbFo+/lX7NEaVgRGIJgyVMr71y4gNClUp6iNAzxegiTSja2PvwTtkHC7kxRGsZ0/Rf+oRkPKOUUluzbwPZo6mIJ8Za9T6hRGgb5hMJ1/TJr59s1YRb6ylmjNOSnT3y942e4xiUi1dMVL3boTeE19uNN4c1EgA+tFVLn4mlI4BYBQ4W3+ZMv438LP0BAKR+oMW9Pnb2EuR++gpi4BDz5/Hj8/sNnDgeewmtsk95Nbnb8byVMArSwYx6TZxgiN5zhBSi8GbGZ1Vn/L3f+AtEsI90kYlSrnhReYz/eFF4KbyH1KJ6GBO4kYKjwqnF4967/Uote0GPIu9rShu6dHtU2e2jc8UUc2DTf4dqAwmtsk95NeKN/Xob/0kXUNMk4N9GY2TwKL4U382YkqvAu2PoDYiv7w/fsNbzY/hkKr7EfbwovhbeQehRPQwIFLLyq5D7zZBt4erjhranzse372fD19sTOvw5j+tyV+GnJhw7XBhReY5v0bsL71w8r4S4qiJcFuHKGV4Ou7rQ2RmfMVc7wZp3hnXLlL7jFJiLJ1x0Tyz9K4TX2403hpfAWUo/iaUiggIV3999H8cbkeUhOScHoF59Bn6faIjrmOtr3eRMTRw9A13bNHa4NKLzGNundhHfP/1YgEQLKiDKS3vuISxoovAWyhtfWWX/G4TX2c8+H1ozlydJIgAQKWHhvF282y5Aky5ao6naYp89FoEqlcg7Jn8JrbLPefYZ3BVo4m/FHqgTT5JkUXgovhRdAjttN65z1N/YTbVtpFF7bODEVCZBA/gnoXsO7Yu1mPN6yIUr7+0L9972O2+HK8l9d+8tJ4TW2Te4mvOE/LUesIsJXkHFtEmd4Vepc0mB8lAbO8Br7eba1NAqvraSYjgRIIL8EdAtv98HvYPKYQahVrRLUf9/rWLvw/fzW027zUXiNbZrCDEFlq9wwDm/xCUtma5/gkgZjP/cUXmN5sjQSIIE7CegW3uIOlcJrbA+g8HLjifu58QSF19jPs62lUXhtJcV0JEAC+SWgW3hzW8aQuWJc0pDfZspfPmnXJrgsnWnNnNqlP9I69YM6O2WvB4WXwkvhzfnTqcag3rNXRNgGy/MR6sE1vPkfybLvyNikiYzOHczWDVPyX7JtObnxhG2cmIoEjCKgW3hzW8aQuaJc0mBUs9lWDoXXwolbC1u+4bi5Af2fM6NcmYxtmhmWLGtYMs7w2ja2GJ2KM7xGE2V5JEAC2QnoFt7ijpRLGoztAZzh5QwvZ3g5wytXqYXkV2cCksnYASZTaZzhLTC0LJgE7JKA4cIbd/0G9v7zH65Ex8LZ2QmB/r5oUr8GXF2c7RKA3kpRePUSzJqfwkvhpfBSePMjvOpSrYzfLtSYmPcemyi8xo7dLI0E7J2AocL7+55/8eq7c7XYuyV9vSDLMmJi4+Hq6oJP3x+JpvVr2DuPPNePwptnZPfMQOGl8FJ4Kby5CW+aWUFyUsZaZgEKvC4fRvjp43B3cYZZVuBZszau+5eG2WyGJEmaAAdK7lYPpvAaO3azNBKwdwKGCm/nfuPQv2c7dO/8GJxMknbtScmpWLTqF2zc/he3Fi7k3sA1vBbgXMPLNbzZ5UZvn2BYMmMHs7yu4Y2JE/BLmICqlSR4eAhwcpLx0KlF+O/HFTibLqKspEB8fxbGi+cg/3kY4s0U+Hv6YHbXF+EpWn5tpPAa24YsjQTsnYChwtu656vY9v0nd1xzamoaHn5iBP7e+LW988hz/TjDm2dknOG9RWDbB/PQM+EPyLdeh7gHIdSfM7yc4eUMb24zvNdiBSxbLiI4SIRJEuDrK+PR2EX4638rEC8D/qICefJH6CMfhvPBMxDNCoLcfbH08WHwovAaO2izNBIoIgQMFd4hb8zExNcHIKhsQJbL33fwOBasXIcvp48uIlhsryaF13ZWtqTkkoaCFd4B/bJGaTiTGo++l39FuDlBa55KTl5YERiCYMlTe30uXEDoUm48obJYvkrCiZOW2XLO8NryabY9TV5neG8L7wOVJPh6A5Iko/k1VXhXwl1UEC8LcJs8QxNel/2n4RqXiNIBgVjSYTiF1/ZmYUoScCgChgrv/BXrsPJ/m9G6eQNUKBsAsyzj/MXLUNf29urSCt5eJazwHCUmL4XX2M8DhbfghNfTCxjV+Tiunj8Cd1dX7fN5o8aD6Jt8gMJbsRrmDBkMhiUz9vNsa2n5Fd6Hqkm4FqOgXFkFra4vwskfV8BdUOAmKAh/d5YmvO57TyLZ2w0PwB1L23KG19Y2YToScDQChgrvkwMnQFL3YbXhcJSYvBReGxo7D0kovAUnvL4lgVF1w3B6ySzrOkev0W+jt2cUhZfCm4dPqfFJ8yu8VSpJkNWH0QJkNLuyCL+tXYlykoKLsgDvWzO8rvtPQxEFBAseWNJ5BGd4jW8+lkgCRYKAocJbJK7Y4EpSeI0FSuEteOH9c9HHCJJkqF9NldffpfACMFN4jf0g57G0/Apv9aoSkpMVlC+noMnlRTj0wwrIECBBQfp7M7UZXre9JyA7m1BRdkVo11EU3jy2DZOTgKMQMFR4081m/LbrIM5fjEJKatodjF7s39VRuFmvg8JrbJNSeAteePcs/hhJCqA+q17hTc7wqj2YwptL0FpjP+Z3lJZf4Y2JtayprlxRxiDfULiGLbOWvXuCZUlDnJyqvVfP2Q+rAttTeAu4LVk8CdgrAUOFV43Bu3v/UVSpWA4uzk53XPPCj8fYK4d814vCm290OWak8Ba88F5a8hGcoMBDBGJfncgZ3mIuvMP6JaKUT3rG51EQobi4GvvBzqU0Cm+h4ubJSKBYEjBUeFs+NRK/LJ8OrxLuxQYmhdfYpqbwFrzw7lr0sXWdY4U3OMNbnGd4tXXdTbfjwPcLkGxW4CGJaNSpG9If7apFoiisg8JbWKR5HhIovgQMFd5ewyZh5edvw8mp4PY/t7emovAa2yIU3oIX3v9CZ1nXOXqMfoczvMV4hvf2g4z7Fs9CiiJo0Q0e7vEc0jr1o/DaOLRl+WKgqHu+2bY8pKyfm41nYDISIAEjCBgqvH/98x9W/bAVHds0gb+fD4RsUwR1H3rAiDrbVRkUXmObg8Jb8MLruXKmtdGOjeSShmI/w1s3DBeXzkJFScbpdBEPdqPw2jKqKYqCAwclJCQAigJ4lRBQpqyMMoEUXlv4MQ0JFDYBQ4X3k/nfQ43Fe7fjyPbQwr6+Aj8fhddYxBReCi93Wsv5M6Vq1J69IsI2ZIR+HNHlFIJXvwUxLlrLlFa/BcZ0b4fQG8ethSzwb42O7sGAACQmAUuWS4iMtKxXuD3Du2Xhxwg2WUStJoXX5kFt+TcSXJ1EqD9qBpYWULpMGioGU3htBsiEJFCIBAwV3mZdXsLsSSPQoM6DOT60VojXVWinovAai5rCS+Gl8Ba+8KqxmRMVAS6QUbt7Py5psHFYU4U3JUlEWhpQtgxQp046hddGdkxGAoVNwFDh7TpgPH5a8mFhX8N9PR+F11j8FF4KL4W38IV37+KPUdNkxrF0Cc17PEvhtXFYU4W3XICEtHRA3XOpSlXO8NqIjslIoNAJGCq8q9dtR9z1G1C3DXZ3K9ywNoVO7tYJKbzGkqfwUngpvIUvvOLyGbgqi/AXZTh1HUDhtXFYU4X3ZoKA6lUFnDqjoG1bM2d4bWTHZCRQ2AQMFd72fd7ElWtxSE1Ng4e76x0Pre35ZV5hX1+Bn4/CayxiCi+Fl8Jb+MKb+UHG1C79Kbw2Dmuq8PqUkLB3v4ymDUXUrMUZXhvRMRkJFDoBQ4V3x66DENXfde5ytGxau9AvsKBPSOE1ljCFl8JL4aXwylVqIfnVmYCUc4jLa7ECli0Xcb93WlOFNy1FhK83EBcPtHqMa3iNvSOwNBIwjoChwnu7WjduJiHyyjXtZbnAUg69vIHCa1xnVEui8FJ4KbwU3qIkvCdOWCJeqFE4B/bnkgZj7wgsjQSMI2Co8F5PuInxU+dDnelVYxSqhygK6NC6CSa/ORhurs7G1dxOSqLwGtsQFF4KL4WXwkvhNXZcZWkkQAKAocL71ofzEREVjWHPPYGgsgEa33MXIjFv6U+oVa0iJrzSz+GYU3iNbVIKL4WXwkvhpfAaO66yNBIgAYOF97Hur2DNgskoVdI7C9vLV2PQ96X3sXX1bIdjTuE1tkkpvBReCi+Fl8Jr7LjK0kiABAwW3ke6jsCmVR+hhEfWPcJvJibj0W6j8PfGrx2OOYXX2Cal8FJ4KbwUXgqvseMqSyMBEjBYeF96azZK+njhjRefgY93CY1v7PUEfPzVau0htgUfvelwzCm8xjYphZfCS+Gl8FJ4jR1XWRoJkIDBwhtxORovvfUJTp69CF9vTyhQtI0oqlepgNnvjUCFcqUdjjmF19gmpfBSeCm8FF4Kr7HjKksjARIwWHhVoGp0hkPHzuBC5FWNryq5tatXcljWFF5jm5bCS+EtKsI7ZJAZFcpZotGoR4w5Bb2jNuJwaoz22k9yxfLSIajj7GfIh0Q90569IsI2ZMQ6H9HlFIJXvwUxLlo7R1r9FhjTvR1Cbxy3nnOBf2t0dA8GBCAxCViyXEJkpCWUlm9JYFTdMHDjCaBJExmdO5ghqKBsPNQ4vAxLZiMsJiOB+0zA0CgN6rX8vudfBJTyRbUHgrRL27XvCNLNZrRsWuc+X2rBnJ7CayxXCi+FtygIr7q/zvgeB/HvmoWISUlFKVdnVHmiG3qViqXw5mNIEM8chcuccRBSkrTcnOHNB0RmIQESuCcBQ4V32febMGfhGsx+72W0aGLZVW3j9r/w7sxFGDW4B57t/rjDNQeFN2uTxieIkGVFC8KuhmI2SQpKWJZz23RQeCm8RUZ4O+/B359NgL+oIE1RUL7/i+hZ1UThtemTnjURhTcf0JiFBEggTwQMFd42vV7DrIkvoX6tqlkqsf/QCYx5/0ts/u7jPFWuKCSm8GZtpe07JLi5iPDwEHDjpgJfXzOqPShrP6faclB4KbxFSXivffEWnABclUHhteUDfpc0FF4d8JiVBEjAJgKGCm+9kCHYseZTeHt5ZDn51WtxaNfnTRzYNN+mShWlRBTerK21foOE5CQRMXGAyQQ0apiOmjUUCm9tGX3ipsK0d7MV2LYP5qFnwh+Qb70T4h6EUH8Kb1ES3j1zJsCk/poBoPaAYZzhzefgTeHNJzhmIwESsJmAocI74JWpWkSGkYO6W2PxXouNx8x53yDqagwWzx5nc8WKSkIK753CGx0t4vxFBeXKCGjSmMKrEqpL4bV2lDFd/4V/aMZ6zfRWXdGrVTVsT4rQ0hQl4T01dzyiZAF+goxKA7ikIb/jNoU3v+SYjwRIwFYChgrvmfBIvD7xc5w+fwk+XiUgK5awZA9WLq+t660YFGhrvYpMOgrvncJ76IiAihUEVCgvwNM7jTO8FF7s3puxpsWRhFddw1vTZMaxdAkPcYY33+M2hTff6JiRBEjARgKGCq96zjvCkpUNQK3qlSCoTzE54EHhvVN4ZbMEswyIAlCpMoWXM7ySwwqv05djcVUW4S/KuNH3JS5pyOcYT+HNJzhmIwESsJmA4cLLsGQ2sy/whNKuTXBZOtN6ntQu/ZHWqZ8WQaGgDnUNrwAJqWmAsxMQVIHCS+F1XOH1+TpjmVZU7+EU3nwOLBTefIJjNhIgAZsJGCq8DEtmM/dCSXi/hHdXpp+vn+lp5pIGLmlw2BleCq8xQxmF1xiOLIUESODuBAwVXoYls6+uRuG1tMczIVFosFt+6CQAACAASURBVHkspIjz2mtzxWqYM2QwJicctDbYZL9mGORZ3Ro9bfkqCSdOWqbCtU0GOu9BXuQmIgJYukJCYpKlDD605phrePPSJ/SODtxpLYPgtVgBy5aLiIm19KvKFWUM8g2Fa9gya6LdE2ahj3wYcXKq9l49Zz+sCmwPL9FZe33kmIBvV0vW9NxpTW8PZX4SsG8Chgovw5LZV2NTeCm8uW0je2zkRPT2jEK4OUGDVcnJCysCQxAseWqvz4ULCF0qQb4VO+2xh1PR8eBomE4f1v4ue/lh9dhJeDF+t7XzD/F6CJNKNrZu0Rq2gUsajBgZKLwUXiP6EcsggeJKwFDhZVgy++pGFF4KL4U359m8+zHrr3d0oPBSePX2IeYngeJMwFDhZVgy++pKFF4KL4WXwrvAvzU6ugdrm78kJgG59YnCeLg1+0jJNbz2de9gbUjAEQkYKrwqIIYls59uQuGl8OYmN1zSUHjruvWODJzh5Qyv3j7E/CRQnAkYLrw5wTxw+CTW/PIbPhg72OFYMw5v1iZVw5IxSgPAh9a4htdPcsXy0iGo4+xnyLhH4aXwGtKRWAgJFFMCBSa86pbCP23ciTVhv+Hchcto0aQWvpw+2uEwGye8ivUhHxWSkHgdyrWrUMzpEEURivpfYAUIJstPtNpsei40OcPLGV7O8HJJA5c0MEqDw914eUEkkA8Chgqv2Sxj51+HtNnc7X/+g3SzGYP7dELf7o8j0L9kPqpn/1mMEF51GciR/0Qk3zTh+nUFQeUFlEo7hTL/ex9/RkbDXwJOl6uBCy/1x5/790Ao5Y30/85jwBO90dw58K4bSVB4KbwUXgovhZfCa/93UtaQBAqegCHCeyHiCtaG/Y4fNvyOlNQ0dGzdFF3bN8fg16dj7cL3UaFc6YK/kvt0BkOEF8CevSKux5pwPV7RHizpWPMUgr8fh71RMSglKXCv0xQz+3TCpm0bkOzjjnQXJ3zcsIf1YZScLp/CS+Gl8FJ4KbwU3vt0e+RpScCuCBgivDVbPY82LRqgW8eWaNm0DpxMlmDejToMo/Da0Ny31+aFn5e02VqzGWhdxSK826JiEa8ICHioHr4f2BU/79sOQQFkScCM5n0ovLcCyq8MbA/vuwSUvx8hqLiGl2t4uYbXhsHvVhJGabCdFVOSAAnkj4AhwjvwtWk4eOQ0Hm1WF0+EPIJHm9WBk5OJwmtjm9wW3phoE0r6AvHxQN1SJzXh3XMlBjcUoFTNhlg64Als+O1XuMUlIsXTBZM7DaLwUngReuO4tafldTaPURoYpWFU3TB4rpxp7UMMS5axK2BuQ/jybyScOGFJr05WDOxvRsXg3J6usJRa1s8tt+L5dxIgAQMJGCK8an3CL0Vpa3d/2PAH0tLS0aFNU6wN+w0/hU7hkoZcGuy28F65LEGSBKSmKnikgmWGd/PlWJSTFFyr1gD/G9gV63dugWA2I93VCdMee5bCS+Gl8ALYNWEW+mbbRtbeZv31jtuM0pBBkFsL6+1NzE8CxY+AYcJ7G536oNqOPw9i9brt2gNsweUD0aPTo9qaXj9fL4cjbOQa3vg4E46flPFgFRH1bs3w/n0lBjIEuNZsiND+XbQ1vLGV/eF7JhqTOw2k8FJ4KbxFRHjjE4Dr8SKcnQTIsgJXVwGenmY4mTKGRVVqM88vanOFtyYMKbwUXoe7gfKCSKAQCRguvJnrHnU1FmvX/6Y90HblaiwObllYiJd256lSU9NQv91QbbnF7aNN8/r4eNII7eX8Feuw5LuNWnSJTm2bYcKo5yBJIsIvXcH4qfNx7OR5lAsshcljBqFezSpaHiOFd+s2EaX8BERfUzD48dPaDK8YF62dJ61+C4zp3g7Low/D7doNJJX0wJcV2lN4KbwU3iIivBGRwMpVEqo+ICImDmhYT0aDi0txcM9vKO3ihMPxifAZPwnT9oXBXMoL4omLqNu2Lcb7NtQsmMJL4b2vN1CenASKOIECFd7bbNSwW3/uO4LmjWvdV1zRMdfx5MAJ2Pnj3Dvqsfvvo3h7xkIs+fQteHt6YPi42ejUtin6PNUW/UZOQfPGtTG4b2fs2PUPPpyzHBtXfaQ9nGek8IZtEK31GtE5Z+G923rNnMAySoOFCh9as8wZ+pYEsq/X5BrewlvDqwrv0uUSHqgoIvKKggcqyegWNQ2//74VPqICd0FBxLQvMHLbCiR7umjLlprUqIdQ/7YU3mwDHJc03NdbKU9OAkWSQKEIr72QORseqYnshpUz7qjS5NlLUSagJIY+20X727Y/D2izvbMmvoQOfd/ErnVfwCRZok/0HDoRY0f0QeN61e1KeLP/FErhpfAyLJn9hCW7Lbw1q0tIT1dQsqSMkDNTcXDnFlSTZJw2i4iZ/jle+Ot7xFYoCa9LsWhYtxGFN4cbCIXXXu6qrAcJFB0CxUp4/z16GiPfnoNKFcrg5NmLqFY5CO++PgAVgwIxePQM9H6yDUIebaS1nirHA1+bri13mPzxEvyw+ANrq74xeR6aNqiBXl1a2Y3wpqYpiLgkag+9yYoCd3cB/v9tgPuKTE9fPzUYae17Z92owrYHim3u0dxa2LKNLMOSMSxZ9rBkt4W3eRMJSckKAgNlNNo/Fdt/24IUCNoML2Z+jpFblkFMTddmeGs92pLCS+G1efxlQhIggbsTKFbCe/rcJSz9fhP6dnsclYICMW/pT9i284Ams8+O+AAv9HtCC62mCcvlaDw16G18MvllfDp/Db79aqKV4oRpC/DgA0EY0Ks9bian6+5f6gMsW35TsG59xhztiCdOI/i7rGt4x/Voh0UJGSGoFge2Qc+SD2gCG39DwRcLFJQuJSImFqhcSUBr0zp4ZAo3dOrV9zHL34yrB48CpXzgeSISE3sNQ1U3T93XoBagXsf3PyrYuTvjOvo+LaNJA0t8YVuOiMsy5ocCMbGWDJUryhjsuwQuYUut2Xe/Mwt90g8jTs4IKP9DcCeUcnbV1jn+dcCMFd9kLA/pHRKF+pvHQorI+Pn6s6FD8F78P9Yyp/g3w8hStSCKAtJlBV8vUnD8pKUOoghM6LIH3l+Ns6a/0mc4elQx4XBqjPaeKjfflm+PZiUCtNenzpmxMFRAYpKljLq1ZfSNmwZp76/WMrZNmYee8X9AvvVOO/cgfFehPUzql5Yc+sTLT5xChe/eyrKue2yPdlh8lz5xPUHBvIUKIiMzljS8Wm89PFZk/MJxbNRE9C4RhXBzglaLSk5e+D6oA6q5eWuvj5yQsWCxWh9LJR97OBUdD46G6fRh7bXs5Yfvx07CC/G7rdc1zPshzCj7MEyiqF3H6h8U/LknowOMffIQSi0eCyElScuT3qorerWqhu1JEdprJ0HEmnId0ca7rPbaUfrE6XNmLAgV0LiBhMtRCurXlVH/r6k49McWJCoCXCAjYeYXGLpvDaTkNKQ7S2jYoEmh94n0rgPg3P15SKKNH1pbPti5pEk+egji7DHWPiFXqQXTuI8hOWdspZ65iIgoGfMX33uc2PP2LPQ2Zx0nfgzuBL+7jBPNmsp4+ikBkvqBt+HQxonFCo5nCks2dJCCmg/alt/DNdPTijacj0lIgAT0EShWwpsdlfpwWqP2w7T1uBOmL0D3jo9q63bV4/jpC3hhzCzMfm8E3p6+EL8sm2bNPuqdOdoGG+oM7/WbafpaQJUGRcH2P4BfMgtvl9MIXn1v4V1Uug26+VTWZDIhUcFXCwE/HxGXryjw9ASerxSWRXj/GzUJz5S4jPQ9h7U4vv4lfLCseT9UdbXIjd5DVoD//azgz0zC2+dpGQ3rijYLr1r3hUtyEd63Z6FPthvZmgqd4Gdy0YT374MyVn2bi/AOGYL3EjKE94NSzfCSX02IggCzbKlDFuHtvAfeX2cS3t7D0aNqVuH9plx7NHb31zCeDZexaEnehXdVuXbWWfrsfeLlLqdQYfW9hTdzn4i/qYo78iy835Vrb+0T/52SsTBUFVdL77BVeKeWbqaJg9on1v6kYFcehff7sh3wmKdFeB2tT6hRWEwmAeXKmPHw4anY8dtW1DSZcSxdgvDRXLy8ZRli1EgsZ6+h1qMtUNh9QhVe6ckB2pe/wjrS/jsE6ZOML0Gq8ApjPobo5JRjFS5fVbAwly/GOQnv2gqdUPIu44QqvN27CpBs/HaujRNLkUV4hwyUUb2KbcLr7ZHztRUWc56HBIobgWIlvFevxeF6/E1UqVROa2c1XnDDDsOwY+2n+CL0B/h4lcCIgd20v4Vt2YM1v+zARxOH4/GnR2PnT3Ph6mKZbejcbxzeHzMIDWo/aDdLGpKSgdBlEh5uaMKFCAWVggU8FPczSmSa4b39gNLVq5e1KA9VrwNLavVAsGTMDK/KhksauKRhiNdDmFSSSxrutqQh86x/n7hpSNm9CVdlEf6ijL0ffomnr2yFa2wiknzd0cbvAS5pyOGuzDW8xU1VeL0koJ9AsRLeP/cd1mZrl302AYH+JTFvyY/4469D+Gbeu9h/6ATGvP8lls4ZDw8PNwx74yM83bU1enR+VFvf27BONe2Bto3b9+LTBWuwfsV07SE2e4nScFt4U1PUjSsAJxdgVJ2wHIXXKWw3Esp6IzBFwpfdXqbwApjs1wyDPKtbY6AuXyXhRKYlDeM774FPphneqN7D0TPbDO/y0iGo40zhpfBmLHPJ0iduRWnILrymzMtcPpiHngkZy1xC3IMKXXgjho7FiZp1EHnmDHzLlYWrixuqmjzhK7nqv+PcpQRuLVxgaFkwCZDALQLFSnjVa178zXosW7MJycmpqF2jsvbQmhpbVz2WrN6IBSvWIS3djKc6tNAiMQiCgMioaxg75SscOX4OQWUDMGXcENSsVlHLY2/C+2Bly/rASpUENEtfl6PwJv37H0SzAj83TyxoM4jCS+HNsoZ3RWCItU+cCxcQulS655KG1WMn4cVMa3gpvEVbeG//EmTe9S+klHT4unhgXo+Rho4T2e/AFF46CQmQQEETKHbCazRQexNe9aE1dX2gi6uCENdfchTe9N3/aru1VQ2/iS+7vmTojYxLGjjDS+F1DOFN+esQkn08UEZ0x6KW/Q0dJyi8QFk/N6NvRyyPBEjgHgQovDq7h70Jb+Yn8l+pm/OShks3rsEtNhEBAYFYXqmzoTcyCi+Fl8LrGMJ789gpeF6KQ4kyAfg6ZIih4wSFl8Kr89bL7CSQZwIU3jwjy5qhKApv5hBUmX++1olCy07hpfBSeB1DeBOOn4JgVhDg5oVFzftReHMYIJd/I+FEprBkA/ubUTHYtuDmnOE14o7DMkjAdgIUXttZ5ZiSwpsVC4WXwkvhdQzhNe88iMQAT1S4loZ53bmGN6cbAIVX5w2U2UmgEAlQeHXCpvBSeFUCd4SgigCWrpCybDzRJ24qTHs3W4Fts4Mn8m8/oHS3WX8+tGZg5I4iEqXhdp9I/Pc4REWBv7MH5rcdzBlezvDqvFsyOwncXwIUXp38KbwUXgovozSofSDXUHVFTHgLculT9mGXURp03oiYnQRIIFcCFN5cEd07AYWXwkvhpfBSePUNpBReffyYmwRIIHcCFN7cGd0zBYWXwkvhpfBSePUNpBReffyYmwRIIHcCFN7cGVF488CID63xoTU+tOYYD61xSUPuA1/2h9Ze6p+AQL/UjIwmEdEmJwhCxlvuogRXwYlxeHPHyxQkYCgBCq9OnJzh5QwvZ3g5w8sZXn0DqSPM8IoiMOGp/Ti0ZBZcRAE1SzgjoeMzGBtswsW9+6E4meBarRImlW2Omk6+FF59XYa5SSDPBCi8eUaWNQOFl8JL4aXwUnj1DaSOIrzjO+/Blk8noLwEhJuBxwYOQ4+qJiSG7cTNAE+UirqJjwa8gTrOfhRefV2GuUkgzwQovHlGRuG9FzIuaeCSBi5p4JKGvA6rjiS8kV+MR0VJxul0EQH9XtCE98LxE7hR1hvlI27iy+b9KLx57SBMTwIGEKDw6oTIGV7O8HKGlzO8nOHVN5A6kvBu/3QCgk2W3dbK3RLeGxt34UagFzxFZ3zR+nkKr77uwtwkkC8CFN58YcvIROGl8FJ4KbwUXn0DqSMJ76HPxkMSBJgVoNoAy5KG6L0HoYgCSsCEuR2GUnj1dRfmJoF8EaDw5gsbhfdu2LikgUsauKSBSxryOqw6kvD+89kEuAlAsgLUuCW81/7cD9nZBM90AZ91eZHCm9cOwvQkYAABCq9OiJzh5QwvZ3g5w8sZXn0DqSMJr8/X46wwrvQers3wHk6980tQWT83fdCYmwRIIE8EKLx5wnVnYgovhZfCS+Gl8OobSCm8+vgxNwmQQO4EKLy5M7pnCgpvLsLby4ya1QFkCrwOqA90ZHpDUawvr8UIWLZCREys5e+VK8oY5BMK1/XLrCfaNWEW+sqHESdbArzXc/bDysD28BadtddHjgn4drVkTf9MSBQabB4LKeK89p65YjXMGTIYkxMOWtNM9muGQZ7VrbVavkrCiZOWOqjxNdVwQ5lnbqJ6D0fPu8zcqHkiIoClKyQkJlnKqFtbRp+4qTDt3Ww957YP5qFnwh+Qb70T4h6EUP+2GguV0J69IsI2iNb0I7qcQvDqtyDGRWvvpdVvgTHd2yH0xnFrmgX+rdHRPVgrIzEJWLJcQmSkpQ6+JYFRdcPguXKmNf2xkRPR2zMKd9tk4Fy4gNClEuRblXzs4VR0PDgaptOHtTJkLz+sHkvhVVnk2icigaXLs/eJaTDt/bVI9QmdQ2aO2Sm8BUGVZZIACWQmQOHV2R8ovFkBZl/D+2qvcJRKPoOrsTEI8PFBnOCE/TWCEXE5EiUCSiE57jrq+wejipO3VhCFl8LrJIj4NrA9mrqUdqw+QeG962hL4dV5I2J2EiCBXAlQeHNFdO8EFN57C++YrofgHzoWfyekaLOWLs3aYmLX+jj891/aNKaTAnweMtjx5IYzvBBuzZeHbZCwe2/GjP6Yrv/CP3QchJQkrfOkt+qKXq2qYXtShPaawmvfs/46h0zO8JYO4UNrBdGJWCYJ5EKAwquzi1B4bRPeTddTtWDsLi3a47WOdXBy22+4EegDSRKxoElfCi8ALmmg8BaFZS46h0wKL4W3ILoQyySBXAlQeHNFxBnevCDKvqTh9gzvlvhUJCmAX5NWmNm9IU7u+ANSSjrgZMIn3V6i8FJ4OcMLgMJrmfWXq9RC8qszAcmU4/BzLVbAsuXZ1vr7hsI1LGOt/+4Js9An21r/VYHt4XWXtf5Nmsjo3MFs/WXClnFv+TcSTpy4+1p/RmmwhSLTkEDhEKDw6uTMGV7bZnj/vJ6MeEVA5RaPY9wT9XBk924430xBaoA3vmrZn8JL4aXwUnity1wovDpvTMxOAiRwBwEKr85OQeG1TXj/iE9BC2czDtQPwftPNcCxXbsQVTcIZQ9ewtyOQym8FF4KL4WXwqvzfsTsJEACdydA4dXZOyi8tgnvyRvJiFVElG75OF7rWBf7j/8L1/hkpHm5Y2FTruFVKXINL9fwckkDlzTovCUxOwmQwF0IUHh1dg0Kr23Cm/WJ/OrYnnRJy+iwT+QzSgOjNEiuWH7rASW1r0cwLNldR1uGJdN5I2J2EiCBXAlQeHNFdO8EFF4Kr0rAL7vcUHgpvBRem0dXCq/NqJiQBEggnwQovPkEdzsbhZfCS+HlTmtqH+BOa/kfTCm8+WfHnCRAArYRoPDaxumuqSi8FF4KL4WXwqtvIKXw6uPH3CRAArkToPDmzuieKW4Lb8Y+Upbk6q5i2d/LXJAiCICiprKk3bNXRNgG0ZpkROfTCP5+HMS4aO29tPotMKZ7O4TeOG5Ns8C/NTq6B2snSkoGQpdJiIy0nNW3JPBK3TCUWDnTmv7YyIno7RmFcHOC9l4lJy+sCAxBsOSpk0JG9rvF4eUaXhl94qbCtHezFVZReEDpXLiA0KUSZNlS7cceTkXHg6NhOn1Yey17+WH1WAovhVffEELh1cePuUmABHInQOHNnVGuwht1RcTuPUD92ib8fdCM2jWA6uHf4n9bt6BzcBmcun4TycNewpyfVsKpdUPI5y6jZp16GOldR5NiCm97hiVjlAaGJSsiYckSkwWkJGcMi6IA+KZdhtmcDkmStD+cKGHCychL8C1bBknx8fDz9kUdp5KA+kU/h4PCq/NGxOwkQAK5EqDw5oro3gnUGd7bT18HB4nw9hJQIciMBvum4tjOLYiVAXXvHsyci6EH1sIpPhmirKDmoy0Q6t9Wm52l8FJ41V7GsGQMS1YUZv0vXBSRlmTC7r9lBJYW4OJqRqujH2D5XwfwuI8LLprcEf7665j+QyiuB/nClJyGrs3bYVLJxnfdxYzCq/NGxOwkQAK5EqDw5ooob8LrX0qAh4cZj/03FUd3bsFVWUCgqODK9M8xdP9auMTdRJJfCTSq1YDCy7Bk6JnwB26tFqDwJlF4i4LwqstcNm82wc0NcHMFPL3M6HzgFVw8fgQ3FAHJHj44PfE9vBq+FWJyOpyS09CrTksKb7ZoLmX93HTefZidBEggLwQovHmhlUPazDO89etIuJmooEplGY32T8X237bAWwSSFQHpM+di5JZlSPFwgSk1HbWbN6fwUngpvADSW3VFr1bVuKShiCxpUIX3yCEneHsBMbEK3Dwswrv76FHEyAL8vbwRPuk9vL9ppWX7cA8XdGzXhcJL4dV5t2V2EtBHgMKrjx8yC2+NB0VIkoCAADNaHJmKv37fgnQAboKChBlfYPjObwCzjHQXExo0akrhpfBSeCm8MO391ToKFZUZ3pPHnRB9TYHJBPj4WoR3x9Fj8BcVmD18cGLie3jnzzUwO5tgNknoVe9RCi+FV+fdltlJQB8BCq8+flmEt0FdCcdPymjzqIL6+6Zix+9bUdNkxrF0SVvDO3LrMsRU9ofv2Wtcw8ud1lBU5IZRGiyDxPJVEk6ctDx0JYrA+M574PP1OOsIUlzi8GozvIedYDYDkgg4u6Zrwrvr6FFIggDFwxsXb83wJgZ4wv1Kwh0zvIKa7laUGo3nmaNwmTMOt6O5yFVqIfnVmYBkynGEvhYrYNlyETGxlvaoXFHGIN9QuIYts6bfPWEW+siHESenau/Vc/bDqsD28BKdtddHjgn4drXlITv1aNJERucO6hMX94qvk7U6y7+RcOLE3fvEld7D0aOqCYdTY7SMmTeo4ZIGnTdfZieBPBKg8OYRWPbkmWd4FUWAuoa3dIAZPa5OQ8ruTbgqi/AXZez98Es8fWUrXGMTkeTrjjZ+D3CGlzO8nOHlDG+RnOE9fswJSUkKXFwEmJwtwvvH0WNwE4BUD29ETHoP7+xeCzFdhmwS8WSzx7PM8B49LsDLXUL4JRk+3gIqy4fgOz9DeM21GuPIsDFINcsQb0V+KCk6I0CyrHul8Oq8cTE7CRRDAhRenY2eWXgTkyzf9OvWVmOuTtN3I2Mc3oyZG59QuK7PmLnZNWEW+mabuVkZ2B7ed5m5eSYkCg02j4UUcV4r01yxGuYMGYzJCQetrT/ZrxkGeVa3zu3ons3j1sLcWthBtxbOHpu5ZXNZE968xGZW43UrsqQtiVB9tqnfP/APzRBedV33sDZ1cea7dYhpWhUel+MwPWQAGrkEUHh13rOYnQSKKwEKr86Wp/BmBciNJ/w0IBEUXgovhdc6OAzxeijLDK86TkRECLgQAfh4A0Na/nuH8PZqVR37Th6CU0o6XFJkfNF2YEa8bi5p0HnnYnYSKH4EKLw625zCS+FVCWRem0fhzSo3YRsk7N6bsS5yTNec5IZRGtR+UxTXded3htfPR8KZ84oW2qxt8MEchffSd2G41LQSvC8n4PP2Qyi8Ou9XzE4CxZkAhVdn61N4KbwUXm4trPaB4vTQWuYHGfMrvDExAsqWEXDjJtC6fM7Cu+/0ETglpRbKDG/TpjI6tZezPbRm2f79bgcfWtN5A2V2EihEAhRenbApvBReCi+Fl8Kb9zW8slnCnr9lNG4gonX5O9fwqksaju3apYXEMMkKPus4rEBneHu2u4aG1zfgalQkAjzcEZlqhn+HHpB9S2ca5LIKMIVX5w2U2UmgEAlQeHXCpvBSeCm8FF4Kb96FN+qKiJK+grZ5Rc86Oc/wHv/jT5hdTHBOlTGnc8EK7+2HW787fQkVJRnJpSsgYcxY7Lx6Hk6lfJF6NQYtgqrjcddygGBZokPh1XkDZXYSKEQCFF6dsCm8FF4KL4WXwpt34d2V67ru6th+t3jdBfDQ2m3hPX4+HCUEIKZsZWwf9QKWf78SCWW94ZSYhhc69cYgzxoZ0VwYh1fnHZTZSaDwCFB4dbKm8FJ4KbwUXgqv4wjv5jMXYRIAU7mKOPDqC/hiVxgUkwRZEvBqs64UXp33TGYngftFgMKrkzyFl8JL4aXwUngdR3gvhIfjSJqIhypXwo8jhuGrHT/DNS4RqZ6ueLHDMxRenfdMZieB+0WAwquTPIWXwkvhpfBSeB1HeP88ewEtnM3Y7V8Fe159AbMPb4XbtZu4WdoTY+p0oPDqvGcyOwncLwIUXp3kKbwUXgovhZfC6zjCe/p8OGIVEX7BlbBuxDB8+fvPiKobhNIHL2BE214UXp33TGYngftFgMKrkzyFl8JL4aXwUngdR3gzb0H+2ZDBmH1kK1zjk5Hs5Yo36nei8Oq8ZzI7CdwvAhReneQpvBReCi+Fl8LruML7XsJB6yA32a8phVfnPZPZSeB+EaDw6iRP4aXwUngpvBReCq8oAuM774HP1+Osg+KV3sPRo6oJh1NjtPcyb0Fe1s9N592H2UmABPJCgMKbF1o5pKXwUngpvBReCi+Fl8Kr82bK7CRQwAQovDoBU3gpvBReCi+Fl8JL4dV5M2V2EihgAhRenYApvBReCi+Fl8JL4aXw6ryZMjsJFDABCq9OwBReCi+Fl8JL4aXwUnh13kyZnQQKmACFVydgCi+Fl8JL4aXwUngpvDpvpsxOAgVMc45WTAAAIABJREFUgMKrEzCFl8JL4aXwUngpvBRenTdTZieBAiZA4dUJmMJL4aXwUngpvBReCq/Omymzk0ABE6Dw6gTsSMJ7/Tpw46ZgJSJJQBnvm1kIJUki0kwm63uiAniIGa/Xb5Cwa29GGWO6HoJ/6FgIKUlanvRWXdGrVXVsT7qkvXYSRHwb2B5NXUprr6/FCFi2QkRMrKWMyhVlDPIJhev6ZdZz7powC33lw4iTU7X36jn7YWVge3iLztrrI8cEfLtasqZ/JiQKDTaPReYdlOYMGYzJWQLKN8Mgz+q4XfPlqyScOGl5ldONLKr3cPS8S3xNNU9EBLB0hYTEJEsZdWvL6BM3Faa9m6312vbBPPRM+APyrXdC3IMQ6t8WaiUUAHv2igjbIFrTj+hyCsGr34IYF629l1a/BcZ0b4fQG8etaRb4t0ZH92CtjMQkYMlyCZGRljr4lgRG1Q2D58qZ1vTHRk5Eb88ohJsTtPcqOXlhRWAIgiVP7fW5cAGhSyXItyr52MOp6HhwNEynD2t/l738sHoshVdlkWufiASWLs/eJ6bBtPfXIt0nWjaX0fkAhZfCa+3G/AcJ2CUBCq/OZnEk4VXF6PhxE06fVdCgrggzzMDmN+ESEwUfJwnhcEH0oIEIPbgd6X5eEBOS0My/IsY17grhlipSeP20HkXhbWztE2EbJOzO8iXoX/iHjsv2JagatidFaOwc9ksQhfce40ROfeIeX4xjBSxbnu2LsW8oXMMyvhjvnjALfbJ9MV4V2B5eefhirG4tzJ3WdN4kmZ0E7IQAhVdnQziS8MbFSti6XUREpAIPDwF1asuIXdUfFWIuoZ6zgp9EX5x+pi++uHEUNwM84R59Ax1LVcO0Rt0ovJIrlpcOQR1nCu8Qr4cwqSSFN/OuWtqXIAovhTfTOMGd1nTefJmdBPJIgMKbR2DZkzuS8EZEijhwwIT4eAVengIerCojIXQgki5fQHlJwVVXHxx/eSRmHdsKQQHSnU1o71MZ05s/Q+Gl8Fo/GhTeO7eRpfBm/RJ05y9BnOHVeStidhIggVwIUHh1dhFHEt7s6zWNWZvHNbxqF+Ma3szrurmkIaNPcA2vymJMVwqvzlsRs5MACVB49feB8EtXMH7qfBw7eR7lAkth8phBqFezilYwhTe3mRsKL4WXa3g5w5vbOEHh1X+nYgkkQAL3IsAZXhv6R7+RU9C8cW0M7tsZO3b9gw/nLMfGVR/BySRReLOt1+RDa1zDyyUNXNKQW+QOLmnwA9fw2nDzZRISMJAAhTcXmNdi49Gh75vYte4LmNQ4XQB6Dp2IsSP6oHG96hReCq/WJ+54QIlhyRilIfu6bj60xofW+NCagfrCokggbwQovLnw2n/oJCZ/vAQ/LP7AmvKNyfPQtEEN9OrSisJL4aXwMg6v1gcYh9f22Myc4eUMb95UhalJQD8BCm8uDP/cdxifzl+Db7+aaE05YdoCPPhAEAb0aq+999/pNKzbqCAlxZKkciUFjycsg3R8vzXPnsGvYErSUesmAw1d/DGrwiNwdhJhlhVs3ZmGvfsyKtO9UTgCdi6CcCNOezO9Sh3MfbQBNidbNmxQj9f96qJHQGUIAhATL+PbH9IRc83ytxKeQK/gP+C643tr+tPd++ND9+uIkhO198qYPDC5TGPU9PTVXh88loZfNipQ1F0PANSupeDhk59BijijvVbcvbGxTz/MTcrY6KCDexDeCmoAJ0lEulnBTxtTcex4xgNKfZsch9fmRRDSLHDM9ZpjYr0K+CfVsnmCSRDxTqlGCPEvp70Ov5SOH9bLSLDsg4AygQq6uK2Dad8W63Uc6PcipsvhuKGkae9VMXlhRoVHEOjqpm3YsOtAKrZttyZH6/pX8eA/CyFGX9belAMr4JsuHbAy8aw10QDv6hhSpjokUUBquoxVa9Nx8RZqQQT6NfoXHusXWdNfbdMVk8s74Wx6vPaeGtvzndKN0dw3QHt97LSF5b36xO7Br+DDPPSJbo3OofTO0Kx94rEG2HxrEw/1vJn7xLXrMr778d594lT3fpjqHm9zn6hbIw1Nz8zT1yca/wevLYuz9Ykg/JNq6bxFp08chMf6xTb3iYIYJwqiT9yXcSLHPnGPcSIiHT+EZR0nOrutg1OmceKffi9iWrZxYmaFR1BaxzjR37s6hmYeJ/6XjosXLV3AMk5k7RPRbZ7Ee+VNdx0nMkYp/osESKCgCVB4cyF84PBJvD19IX5ZNs2actQ7c9CyaR1thpcHCZAACZAACZAACZCAfROg8ObSPrHXE/D406Ox86e5cHWxbF3bud84vD9mEBrUftC+W5e1IwESIAESIAESIAESAIXXhk4wePQMNKxTDUOf7YKN2/fi0wVrsH7FdOtDbDYUwSQkQAIkQAIkQAIkQAL3iQCF1wbwkVHXMHbKVzhy/ByCygZgyrghqFmtog05mYQESIAESIAESIAESOB+E6Dw3u8W4PlJgARIgARIgARIgAQKlACFt0DxsnASIAESIAESIAESIIH7TYDCq6MFdv99FM0aPqSjBMCIMnRVgJkdkoDefqU3vwpVbxl68ztkw/KiSIAESIAE8kWAwpsvbJZMjTu+iI/eHQ6/kl73LKV6lQr471Q4alWrdEc6I8qw5RJGvj0Hn30wypakOabJS/6TZ28FpsxWktksQ2WR26E3v1p+3PUbCNu6B77eJdChdRMIgoDr8Tfh7eWR2+mtf9dbhhHXkd8y9PYrvfmN+HwYUYfMja23PY3oV2rUl7Atu/Fs9xCtav8cOYUr0XFo3by+tlW5LYcRZajniboaCzXOeHTMdZQq6Y1mDWuiTEBJW6qgpdGbP799+3YF9ea/Xc6JMxdx4NAJxN9IhLdXCTSqWw2VK5SxmYOa0Igy8nRCJiYBEsgzAQpvnpFlZAj9bgN+3PAHkpJT71nKqnnvoM/w97Fh5Yw70hlRRuZCm3YenmNdbiYmw8vTHZ3aNMPbr/a7a3315lcLfvyZ0VnKT0xKRsKNRFQOLosfF0/Jlbje/OoJ+rz0via7ly5Ho92jjfD8Mx3R4qmRmDT6eTzZvnmudTCiDCOuI79l6O1XevOr/PSW8f/2zjpOiqPp47+gIbi7Q0iCu4XgElyCE1wO1wCH6+HO4S7BITkswCHBnSAPCSQEguWCOzns3k817xx7eyuzU31hgZp/njzc1K+7v927W9NTXcW1t59kb1gT7XwnIOun6dC+WQ1s230UfpOXqM9F4oTxMLJPa1PrUocGtd1/9DzkypoR8eLGxr37D3HizB8Y8l1zlC+R320/uPbUQMlvuoRph76jnv4bbPp7gmtPjU9b8AMWrtqinNw4sWKq76mjp86hRf2KKiuPmUuHhpl25B4hIAR4BMTh5fHzOuugm3cc9qlFt9GYMLgDGnUYhsObZjjtN9femfCxU+ex++BJdG1d2xIzT+2/bthLpY67//Ax2nw3FstnDMSV6zfQpuc4bFoyylQfdGjYN+TpOBx1VIeGKQDv2U065pOrUbp2NwSuHKfeODTtMhJN61RA8cI5QbqOHogdTYEOjapN+2Lq8E5IkzJpaBN/Xf0H9CYnYIH7h1KuvbOltefQKbXr3bF5TUurz1P74jU7Y9WswUiSKF5oe7TjXbfNYGxfNd5UH3RomGpIbhICQoBFQBxeFr43xifPXsCCFZvVbkmnFjURL04s7DrwC0oUzqV+3MxcOjSMdshxvX3nARLEj6NeU+7a/wtKFMmFHXuPo9SXedx2h2vvqIGG7YdhqX8/t207u8ET+yadR2DysE6IGzsm6vkMVg4vXeXq9cDW5WNN9UGHRkRwIE1PWNAbiB37juOfm3dAYSW2l5ldLK49tcfV4NpTH3TMJ1eD1t+WZWPw8PFTlK3bHbvXTUbUKFFQrn4PBK4YZ2pd6tAwHHf7Bis26mXqgZBr72qgjTv5YdHkPqZYOLrJE3sqIhSwwA+RI0cKlQoJCUHNFv2xbt4wU33QoWGqIblJCAgBFgFxeFn43hh/3bAn6lYthXMXriBSpI/Qt3MjtUtQtEB29O7QwFQrOjQuXQnCd0Nn4K+rQer1YLSoUZE+TXIVa5wudTK3/eDaUwP+89eFaedVSAiuXLuBs7//hQ2LRrjtA9eeGjj965+YOGc1KpcpjFlLNqBD8xo4cuI3/Hn5uukfU66GjnHo0KDCKcHBz5ExXQpEsnv4Gti9qdv54NpTA1wNrr23rIlug/zxSYyPcT3oFlImT6wqNo6ZvlzFw9Jn1MylQ4Pe+JT6MjdqViyOGB9HQ/Cz5/hxyz5s2Lbf1OeDa0/jtI/BDQkBLl6+rgr7mHkLw7WnPixZsw1HT55D9QpfImGCuHjw8DECtuxT35m0QUCXu3MHOjTMzLvcIwSEAI+AOLw8fqHWVRr7Yv2iEWoHrUG7oVgxc6D6EaF/N7ujqEODXpPWrFgMVcsVVbG0W5eNxar1O9UBroWTfN2OlmtPDYyZtjxMOxTDS6/h+3dtjPy5PnPbB649NUCvGZMnTYiYMT5W7X0U6SOkSpYYbb6tov7dzMXV0DEOHRq1Wg7AmjlDzAzZ4T1cexLlanDtvWVN0Gdh+Y87FOd61UrjkxjRcfz0eXzxabrQ0uXuJkqHBoX39BkxR7VNJdP/DX6mDtWO6Nva1IEtrj2N0T4GN3KkSEiSKD7aNa2OLwtkd4eBbU8NlKnTDVGiRHHZlrtQEx0abgcrNwgBIcAmIA4vG+FrAV+/2WhatwKyZEyNem2HYPn0AXj27Dkqftvb9KtKHRoVGvQMjQUkh9d4TWr2VSXX3hlO+kGlnWermSI8tZ84ezW6tPqGNbs6NOw74Ok4HA3AU432fSZi3MB2ph0q+za59qTH1eDaUx90zKcODYoRPXD0f7h9l0KOYqNIvmwqS4Inlw4Nao8Oit2+e1+FYsWJ9YknXVD3cu09blAMhIAQEAIWCYjDaxGcvdmOfScwcspS5M2RBfuOnEaponlw8uwfyJIpjenT1zo0KLZu2bT+iBc3ltrhJYf39G8XMWT8QqyaNcjtaLn2rhzeOq0HIWChn9s+OHPy3NkvWrXFrfarVyHqwcTZpUPDVSfIWXU3DneD8FSDnDQ6zFOsYA7E/OT1jrdxmYnh5dobzubb7oOOOGCuxs8HTqLPyNnIlTUTDh0/izzZPwXF7o/u56MOr5m5dGhQnGrgnmMgLXK8E8aPo9ovUyyvqTMHXHsaJ2ls230MO/edUE53wvhx8VWhHChfooAKC3N3ce0NfTrfsH3vcdWHBPHiqDMOpYrmdtd8mL/r0PCoQblZCAgBjwmIw+sxMscGhSq3Q50qJVR8Hl30hU0xepTiJ0pkc/k1dWis+HGHSqszpn9bFK3WASmTJVJ5PicMbo/c2TK7HS3XnhqgQxy2FzmZt+7cU2EWFNbg7rJqT2mWjIt2nvYePqUcigTxYuPBw9fphooVzK7YOLt0aBjaVsdh2zcdGgPGzAO9LnZ0mYnh5dpTu1wNrj31QUccMFejerN+6rNIMaLGAynF/fcaNhM/zDd3SEqHBsXJkpNXtVwR5exSNpOfdh5GkXxZ0alFLXcfURVny7GnBqbMW6sO01YsXUilELx7/xE2Bh5QsbNm+sC1pz7MWrIeW3YdQZVyRdR/N6v7NX74aa9KXdi6URW3HHRpmGpIbhICQoBFQBxeFr43xjv3n0DJIp7tCtg3rUODNCnGjxzvLbsOI37cOCrXZrRoUU2PlGt/5tzFMG2Rs0WvbCnXqJmLa09ttO09AX06NUTqFElCm6SdLNrpnjS0o5lusDV0jEOHhqnBfgA36YgD5mo4CxmiB5uNi0eamgUdGpTajBzs2DZhDPTmoEqTPthmIosJ154GSmFWa+YMVYfmjOvJ02B802qAqUNrXHujD5SWjN58GA8gVICiftshpueD+sHVMDXxcpMQEAIsAuLwsvC9MS5Stb1DJdrdPLhhmqlWdGj879ylMCl2HDXs6tQx157a41a04tpTH8rW6+Hwh5syZ9CBQjMXV0PHOHRocNcV155YOytoYjsPhzZOdzotXHsS1hEHzNUgh3nwd83UATFysCjn7cr1u1RM78zRYQu2OIOhQ4MOjP0wf7hK22dctMtbs3l/U/lnufbUJoVPkZNvG75AYQrk/JvJ0sC1pz7Ypik0HF46eFytWV9TGWV0aZj5PpJ7hIAQ4BEQh5fHL9T68rV/wijRK3V6VUY5cOtWK2WqFR0alOnh4pUgxPg4OuLG/gT3HjzCs+cvVGgDpf2hy9WpY6496XMrWnHtqQ+UizNtqmSqrDCVE370+Kl6fUoO/eIp5nJ8cjV0jEOHBnddce1pPpwVNLH9YCRL7LysLdee2vGGWGTKVkJvXvp0agQKYaK3KcUL5UT/rk3CFD9w9YWhQ2Pe8k1Y8eNOLJzsC+JOnw/KBdyqQWU0q/e12+8rrj01QOFDj588RY2vi6lDc/cfPFIpwShv+ah+bdz2gWtPDbT+bizKFc+PbyoXR6naXTGwW1Os3vgzkiaK77IipW3ndGi4HazcIASEAJuAOLxshK4FWvUYi9lje7Ba8URjtP8y5MyaUX2J0w8H7VYEbN2H3/+8ip7t67vtB9eeGuBWo+LaUx/oFPv0hT/iyMlz6oeUdrJyZs2E9s2qqx94MxdXQ8c4dGg4G6sn68qRhif26zbvQeliecNlAqD8s7RObStdOWqLa0+aOuKAdWgY47t5+x7ix4ttOsbfEReOBlU0S586uXogpO8JCp/JlC5luIONztYP157CF+Yu26geRO/ce4D4cWOjSP5s8Pm2KmLFjOH2I8q1pwbofAMdMian+5tWA9XYS3+ZB/Wrl0bUqK7TlRkd1KHhdrBygxAQAmwC4vCyEToXIIfp247DsXnpaMuteKrhLP0YxdyZKZXJtaeBcqtRce0tw9ZsqGMcOjQcDcvTdWWv4al91hJN1YMGHVo0EvqT5rbdR9VO34g+rVzGwHPtjf5TqkDKIUuVzqgaIsV421bZMrMEPNXQkflDh4bt2Gj+Tv36J54/fxFmyPTAO9WvMzJnSOXSEefaO+NMGWW27jqC7j51zExFuHus2v/9z23cvvcACePFQbIkCUxlqrBvXIeGpUGLkRAQAqYIiMNrCpP7m8LFOYYAT/4NRrsm1Uyf9tWhQfFv7ZvWQNmv8qodCvpBo9PX0xb+YMrx5toTKW6FMq499cFZ3OmLFy9xeNMM9xOqQUPHOHRocNcV155g5yrbUpVw7dRvMnwaV1WhJsZ1/PTvavfVVRU+q/aU8mvYxMVYOXMgNu84jGETFwEfAbFjfqIyE9CBqeG9W6pcuM4uroaOzB86NGzHR8USEiWMF27H/cSZ31U2F8qoUrlsYadMuPaGMMXsEl9ycrfuPkq5ylCiSG7T4QRce6rW1nPoDPUQRA9AdGCNwr8ok0um9ClNfU/o0DDVkNwkBIQAi4A4vCx8b4zt4xwjRYqk8krankB215QODXIeBo2djwt/XVdtU97QNCmTYFCPZiiY+3N3XQDXnhrgVijj2lMfbFlS7PLd+w/VbiKFNphNN8TV0DEOHRrcdcW1NxzeX7bNAb2Cb9Z1FHw7NkTR/K+dTDrYWahyW5cPIuTwWrGv0bwf6tcog9qVi6NMne4qNjRfziyhn4PdB09ixJTvsXnpKKefDR0ahrg3ZA+hvlC86vaV48PtZFLJ4Lnje7r9nuDaUwN+k5dix95jSBA/jnJyKfetuzK+th3j2pMWFQmqXbmEKi1s7PRTfuK5yzapfOZmLh0aZtqRe4SAEOAREIeXxy+M9d7Dp1X6Ldsv7WtBt1SJ4QxpkptqSYcGNUQO3v0HjxEndkyVh9bTi2PPrUbFtXc2VtoNKlylPfYH+JtKbO9IxxMNZ+OgnUXb0/Gu5kaHBmV6oEIkVi+uva3DazyMtOw+BvWql1I7q/QgcvjEr1g8pa/TLhoOr6f2tBMZuHK80iXHdd288LlujZLezhrXoWFoczN/kI4ODdKhg7X7j57BpStB6r8pfjVNyqTqQcRMDC3XPk+5Vmr+q1UoiqL5s6syy55cXHtq66sanbB73eRwzZJDv2PVBFPd0aFhqiG5SQgIARYBcXhZ+N4Yz1++GQtXbVFV1Qrl/SL0D3sOnUavYTPQu2MD9ZrQ1aVDo8+I2ahVqTjy5vg0TFN0IIVizMp+lc9lH7j2JL50baDDNl68fIkmtcu7Jc61d9UAHXTx9IfVXs+VRqMOw7FkanjHjXbad+0/gY2BB5WTcXzrbKfd1KFhK27rLNr++6+//4VpC37AhCEdXMZrcu2pTXsNyrowbsYKUMYBcrIGdGvi8qHQqn2dNoPQsGZZVC5TGKs37MLN2/fRqFZZ9QBw595DrAjYoXJWu1qXOjQM7tzMH6SjQ+Pg8bPoMXg60qdJhgxpUygHNzj4OS5e+Ru0Lqjy25cFsjtdo1x7EqYMFVRdcsvOwzh68pyqUlm6WB4Vy23mAY1rT334tqMfyhXPh3rVSr0OAXvxErOXblBp4sxmc9Gh4fZLUW4QAkKATUAcXjbC1wK0CzRvQm8VPkDXmOnL8V3beuq/qZISxS5uWTbGZWs6NLKXaqZ+wCjVUdfWtUNfWVJsXr9Rc5XT3eZb5xWEuPY0QKoaZVy0I0oVlOhHlMqG+vm2ckuca08N0Inr1bMHh2vrtz8ug36sm9ZxXl7YMLKiUbmxL1rUr6hOfZODv//IGWzcfhA79p5AxnQpUKl0IXxdqqB6E+Ds0qFhxuGle/znr8PT4Gfo4VPXaX+cObxm7ek+7i6xVXtad75+s/HnZQrxiY6n/warjARRo0RWzg1VQUyYII7L3TwdGgZcbuYP0tGhQdk/+nZu5NCppbdMwyctdhnzz7W3X2yUFm3HvuPqvMGh47/i2JZZbr8nbG+wak+xu0PGL4Jvp4bqgYuc6C4DpqoHsFTJE5vqgw4NUw3JTUJACLAIiMPLwvfGmHJqGgUmaDcvX4XW6v9TJSP6gS1cpZ3bw1I6NMg5ObJ5pnI6kyaOj142qcgoBRTtVv28dpJL54Zj70yYfhQ695+CtXOHWiLuqb0zJ40ccHr4KF+ygNr1c3VZ0aDXw4PGLVBOCYWFxIgeTeVhpkNatlXfXLWrQ8NWnzIc2Cb3t2+bYmj/t2uB0y5x7UmYdsWpdOuFS9dQtEB2taNGu7uHf/kVGdOmVLtsri4d9g8ePXbYBB1kNOPcUB+4GhTiRIei7C96ODJbglyHBn0/HVg/zWHqLXoQKFy5LY7+5Nzp5Nrbjn/Byp/Urm7aVEnVP9PBsTg2FeDcfWFw7d3py9+FgBB4PwiIw6tpHsmRbFCjjNpBXbR6CwJ3H0O61MlQt2pJFaNIOSsXTXZd8ECHhuGk0Y9We98JyJUts8oUYTgdtIu8f72/S4eXDgdZtXeFk+JROzav6XEaKEPTE/tsJZ0f0qNk93Sojxx7VxdH44+L17Ah8IDasfo4ejSVNYPy0HpyKEeHBo2P1sTO1a7jESkHqrOLa0+6FCpDqcCKFcyBbT8fVU7f0VPn1EFK+mzQ63N6I+Hs4tobuty4U9LhaNDDQ6E8X2BIz+ZhHN9VG3Zh6ZpAjB/c3m28vw4Nn17jkDJZYrRtUi3M2wYa24xFATj7+yXMHef88BrX3naeC1duhxTJEqnPR6sGlUznvzU0OPZW3uLYr1EdGpp+hkRGCAgBFwTE4dW0PI6fPq92MKmyGe1YLZjYG5PmrsGegydVjCLlH03v5uCaDg3bXUnakWrnO0E5XEXyZQXFE1OS+bED2rp1eA0H2VN7svs3+Jkq+kCn4cnBMS5KP3T+zyuoVbG4yx1Hrj21l7N0C4zu7+NydsuXyO/y7zo0qAGKn96845CKVYwcOTLKFMuL79q9Dncxe3E0XIUkmGmfa09tUAnXjUtGqVACem1cpGoH7Fo9UcVq0hsROlDmqgIg1576oCPulKtBLIf1aqFCSSYP64TM6VOpKaAdXopd377nmNsHYx0aFL/sN3kJduw9rr4fVAzvs+dqd/WrgjlUWrDECeM5XR5ce1thOvQVuGIcZi3ZgO17j6kqdPlzfWZmaap7OPZW3uLYd0yHhunByo1CQAhYJiAOr2V04Q3p1fDtu/dVOjJXr5BdNcnVsN9toHCKNZt249ipc0ibMima1q2gDuk4u7j2pEuxwnQoiVJPZUybIrQpip+lfKv5c37m0uHj2lODOpw0HRq2nI2coZu2H0KfTg0trTwrGhRe4Spm2F1HuPakX6FBz1CHlpy7wpUpW8ZUtZtHa54KnrhyeLn21AcdcadcDWNNUfq/viPnYO6479TuJl1m0rPZrm2OhjHnlKebQiQotpkcX9p5jxYtqrslEfp3rr3hsBqZEv68/DcGj1ugQkzoDISZw2u2WRI8tee8xTEg6NAwDVxuFAJCwDIBcXgtowtrqCO7gQ4No1d0yOfS1SC1m0YOLu0ye5KejGP/ZbWOynkxUhvVbTMYK2YOVF2juNaqTfpgzw9TnJLn2pPwll2HUb7Em+IGVqaZq6FjPnVoGGOnAhKliuZRB9TMOBL2zDj29Ar888zpULxwThXmcfb8JcT8JIYKZTh68jflZI3q28bpNHHtSVhH3ClXw/Yhauf+ExgzbTlG9fNB9s/SY9+RM+qw2KYlznMC2z/MWdWg3VwKXaDiEvRQSrln/7r6jzpzEDtmDPW/rrI0cO1pHFQQhC4qG02HPG2vXQd+UU74vh+nOl0TXHsS1vEWR4eGle8nsRECQsAzAuLwesbL6d06shvo0KDUY/3HzMPxU+eRNHECxI4VA/8GP8f1oJvImiW9ep3q6vAU154AkWP085pJavfu9t0H6pXjtuVj1U4WxQiWrdvdZRwx196YJNudyetBt9QhqVchISrUwtHBIUeTy9HQMZ86NIxx0Tx096mr0i61algZ1cq7TpNnz4NjT/ypUACFtBTI/TkGdG2sHJ1DJ35FhjROKdqZAAAVf0lEQVQp0Lx+RZfp4rj2NBYdcadcDfu3BpQRof/ouepQ36tXr5TzSwUYXF06NOgtyo1bdzGsV0skSRQPY2esULmQP82QGpTxgBzgMzvnO+0G156EV/y4Q+mPm7kS3ds4LiVMBz6dXVx7+4cHqz8Fut8EWe2H2AkBIeCagDi8mlYINzuC8eXLzZBAOTrpIFDz+pXCVHkz8ktSmixHeWINDFx70qG43yQJ46NSmUJYuX4nYseKqcoNU6aCvYdPqb9RxStnF9eedBev3orv1wWq1Eq0o0ilWfPmyAyqK0ux0vRD7y4zAFfDW9aErcNLr45pl32U/zLcuHlXpV+iw5VmLuPVsVn7Bu2G4nuT1aoctc+1t9fUEXfK1SBHkmK4bS8KZbj6900VM2umMqMOjaLVOqiHUCO8iR7smncbjYAFw1XX3DlxXHvb8XMLzXDsuW9xaBw6NMx8/uQeISAEeATE4eXxC7XmZkew/ZHhZEjIW741Dm6crg4H2V+kW6hSW5c5Lrn21CalPxs5danKP0yVlOgQCjmdew6dQppUSdCkNsURO6+qxLWnPlBJ3uUzBiJ5kgSgSlp+fVqr18Z0nf7tInoOneGynKwODW9ZE+Sg0kWhJAEL/UKXBeU7nTJvrcoN3K5pdaefBKv2VZv2DXWgrHzMuPbO2tQRd2pVw2o+Ydux6NCgzweFTlB1NbqoKmOVJr6hVcfcObxce9vxnP/zKq5evxGajuzTjKlNpYkzNLj2pOMtGlY+J2IjBISAOQLi8Jrj5PYubnYEW4eX/ttKhgWyq96sH1o2rOQwxyydyJ4waxXWLxrhdDxce0fCdNDqn1t3EfIqBMmSJAgthuEW6v/fYMWeUhVtXzVBOdZUyGHtnCGhh3HIWaEsAUc2z3DZBa6Gt6wJ2pmli3YnncVxOyqvasCxas91WLn29pOrIx6aqxERVeuMcZqtnEf308Gw6//cVqEklP935uIAddh2RJ/XhWHcObxce2qD0u71Gj4T9x88Qtw4sUAHznJ+kRF/XQ1SYVcU3kEPrM4urr2OPujSMPtdKPcJASFgnYA4vNbZhbHUkd1AhwbtXnbpPwUxYkRXh1Ho8Enws2fqQMqNW/cwflB75MlOr/YdX1x7UqW4zEmzV6vX2bRz0m2QP4Ju3FaObpJE8TFxSIfQdEyOesG1J80hExbh2t830bFFTZw9dwkXrwShSZ3yePo0GDOXrMejR08x1a+zy9nnauiYTx0ato6rK8fW3UfB9jS8u3vp71yHlWtv30cd8dBcDR1V63Ro0AP1tIU/YPeBk3j2/AWK5s+m8iAbB00pRVrDmmWcTjPXnoRrtx6E+tVLoWbFr1Q79LnfGHgAg7o3w8KVP4EOri2c5Ou0D1x7HX3QpWHm8yT3CAEhwCMgDi+Dn44YQx0aFy//HSbHL4UunPzfH2rHhE46U7WvtKmTIU+2zA6TunPt7RFSiilKSUY5eBt1GK5K6TaoUVrd9v267di0/SCW+vdzSp5rT8KU+mr+8s1Yu2kPqEobXbRTHDd2TJQtnk8d3nJXzUmHBrVrXwnKypLzVMPRuqLX1pSH2czFtfdGh9cbYqp1VK2zqsH9ruHa2687qix5YL1/6Bsf+nzSgdbAleNV4Rt31d649tQfb9Ew85mUe4SAEOAREIeXwU/HDpQ3aOjogy3GgpXaYn+Av6qoRpXdtiwbG1pdzUyuUav267fuR5VyRcLNKBU2ePT4iQppIIfX1aVDw16fUwnK0PJUgzunXHtvdXi5VQS5cdk6qtZZ1eDOKdfe/nPRsP0wUPGXhjXLKqd36dptKjsE7eou/3GHyuKwbt4wpx9Xrj0Je4sG42dITIWAEDBJQBxek6Ac3abjB8AbNHT0wZZPyx5j1G5yq0ZVVJ7RXFkzoWLpguqWlQE7sSJgJ9bMGeKUvFV7HePQoWE/ME4lKEPLUw3uOLj23uzwUt+sxshz47Ldxcaa+TqyqsGdU669/diovHfv4bPw+59X1J/oLdS4Ae2QKX1KFdvb+JvyyJolnVMkXHsS9hYNM/Mu9wgBIcAjIA4vg5+OHwBv0NDRB1uMN2/fU1Wkzvx2UaW8oiIDyZIkVOEVFCNIccRZMqZ2St6qvY5x6NBw5PByKkmRnqfVpLjj4NpTnynnspEFwEpmAVt7ytlbuljecGEolNHjdWy48zK4xnzoiIe2omH71sBq1TodGtw55drTPDh6g0LljF++fIn4cWO7/Tbm2uvogy4Nt4OVG4SAENBKQBxeBk4dPwDeoKGjD/ZxwISVnBEqNEA/aNGjRVXV3jKnT+kwSwPXXseOoi4NY0npqARlVYM7p1x7+48VNzsBxa0mS5wA/bs2RokiuULlt+0+qnIsU3aBkkXCF2zQEXfK1dDB0hs0pA9vVrUOFoyfHjEVAkLAAgFxeC1AM0x0fOl5g4b0IWJ+yHRUgrKqwZ1Trr1Zh5fu85+/Dk+Dn6mSx84ucpgDFvihU7/J8GlcVRUxMa7jp3/HgDHzsMFBuj0d4+BqcO11PYhx+8G11zEOb+iDjnEwfnbEVAgIAYsExOG1CE7Xl543fIFLH/Q5vI52qj2tBKVDgzunXHv7j5XVzAKGjrFDTOEuzbqOUllAKJUWXa4OQuoYB1eDa+8t3zXeMA5v6IOu+WD89IipEBACFgiIw2sBmmHCjVEkHR1xil0GTFW5ba1eXHsdPwDvyw+Zt4yDuzZ1rEvb9Wg1s4C9w0v///K1f9Cy+xjUq15KVfKjsIbDJ37F4il9w30EvGE+vKEP9t81byummsuCa6/ju0qXhtXva7ETAkLAGgFxeK1xC2fFjVEkQatxiradobQ+ZYrlDde/J0//RUgIQg8RORu21UpS3B8irj2NZ873G9GyQSXWjNpqXAu6hZTJEoXTo/y8VJ3K0aVjHDo07J1NSsdlf5mtzKVjXVrNLODI4aV/C7p5B+NmrMCxU+dVbPiAbk2QIU1ycXhNrn7u95XVNcFd21x7Xc6qjn6YnCq5TQgIAU0ExOHVBFJH9SOrcYpmnBuqtNax7yQsmOTrtLws6VitJMX9AeDa20+j/Wl64++//XEZB4+fRdM6FdzOPP2oF8rzBYb0bB7G8V21YReWrgnE+MHtwzlZOsahQ8PMmqB7IjJ+1rYPVrMTGBpWdiS9xbnRMZ86NLxhTXDHwbX3ljXh9stHbhACQkA7AXF4NSHlxihSN6zGKYb5ISvTAvMm9HI4qp37fsG5C5cxa0wPp6O2Wo2K+0PEtbcfkLMHEKrmRAefypcsgMplCrucfdIY1quFcgonD+sUWg6Zdnip9Or2PcewaHKfMBo6xqFDw7ZT3LWpY11q+ph5LKODJVfDG9482IN7W2uCy4L7BoY4cPtgr2HlTZDHC1kMhIAQYBMQh5eN8LUAN0bR1uGl//YkTtHeucmYLqXLUQUsGO7S4bVSjYobB8y1tx9QtpLNUDD35w7H+fjJU5Vw/sjmmW4dXmJBWQAor/Dccd8hxf+HODg7KMV1jqhDOjTCPASVbYmdqye4HKurHKi2Dw9W16Wmj5nHMtxYZmpQZzzz23rz4OiB8G2vCS4LK29g7Dlw+0B6Ovrh8cIWAyEgBDwmIA6vx8gcG3BjFO0dXvr/ZuMU7Z0bR/GaZofJrSRF7bytOGLbMeYs3QKj+/u4HDaVNXV12bLYuf+Eqho3qp8Psn+WHvuOnMHwSYuxacmoMBI6nFUdGhG1JqyuS7PrLyLv48atGs6NlXzAxrje1psHRw6vru8Jq2uCy8LKGxizHCL6TVBErnPRFgJCwDEBcXg1rQxujCJ1w2qcou0QajTv57L+vLvhWqkkZfZHJKLjiHU6eY4eQPYePo3+o+eqsrSvXr1Szm+pomGLHejYqdahYcuCuzZ1rEt36+6/+Ls3xNm/rTcP9ny9YU1wWRjz6ckbGHsO3D7Yfk9w+vFfrH9pQwh86ATE4f3QV0AEjD/XW4ojth3Kll2HUb7Em+IEVobpaKeaQhmu/n0TiRPGQ4yPo7mU5e50k7jVrBlWxvu+23DjVm2dG0/zARts39abB2+cWy4LK29g7Dlw+2D/YGz2TZA3zof0SQi87wTE4X3fZ/gtjI8ci7cRR/wWhuqySWc7imZ3ukncatYMb2PhDf3xhjj7iAh9MvPmwRv42/eBy8Le3goHbh/sHV76/1b64Y3zI30SAu8bAXF437cZ9YLxcH9EdMQRewEGcHe6jR9TOlzXa9hMJE0cH73a1w8d2j8376JOm0H4ee0kbxiu1/eBuy4dOTeextl7w5sHb5koLgvuGxjiwO0Daejoh7fMifRDCLzPBMThfZ9n9y2NzRviiN/S0MM0y93ptnWwnr94ifa+E5ArW2a0a1JNtUOxxGXqdMP+9f7eMFyv7wM3bpUG+L7EM3v9ZEkHhYAQEAKaCYjDqxmoyAkBg4DuHUVycNv5TsDH0aOhSL6s2HPoNOLGiYmxA9oKdCEgBISAEBACQsAFAXF4ZXkIgQgiwN3ppm7pyJoRQcMTWSEgBISAEBAC7wwBcXjfmamSjgoBISAEhIAQEAJCQAhYISAOrxVqYiMEhIAQEAJCQAgIASHwzhAQh/edmSrpqBAQAkJACAgBISAEhIAVAuLwWqEmNkJACAgBISAEhIAQEALvDAFxeN+ZqZKOCgEhIASEgBAQAkJACFghIA6vFWpiIwSEgBAQAkJACAgBIfDOEBCH952ZKumoEBACQkAICAEhIASEgBUC4vBaoSY2QkAICAEhIASEgBAQAu8MAXF435mpko4KASEgBISAEBACQkAIWCEgDq8VamIjBISAEBACQkAICAEh8M4QEIf3nZkq6agQEAJCQAgIASEgBISAFQLi8FqhJjZCQAgIASEgBISAEBAC7wwBcXjfmamSjgoBISAEhIAQEAJCQAhYISAOrxVqYiMEhIAQEAJCQAgIASHwzhAQh/edmSrpqBAQAkJACAgBISAEhIAVAuLwWqEmNkJACPxnBGq26I9alYqjYc0y/1mb0pAQEAJCQAi8XwTE4X2/5lNGIwTcErgedAtT5q3DoRNncefuA8SJHRP5cmZBD5+6SJEskVv7//qGM+cuInGCeEiaOP5/3bS0JwSEgBAQAu8JAXF435OJlGEIAbMEqjT2RYa0KdCheQ0kSRgff9+4jXEzVuJa0E1sWDQSkSJ9ZFYqQu978fIlokSOHKFtiLgQEAJCQAh8GATE4f0w5llGKQQUgRu37qHkN13ww/xhyJw+VSiVW3fuY8e+E6hcpjA+iREdT57+i2ETFyNwzzHldJYvkR++HRsiWrSoCH72HKP8l+GnnYcQ8ioE2T7LgL6dGyFd6mR48jQY+b9ugynDO2P20g24eesu4saJhZF9W4e2F7B1H2Yt2YBrQbeQMH4cNK1TAY1qlVV9Id2Hj57g/sPHOHbqHPYH+MM2pOHf4GcYN2MFduw9ofr4RZZ06Nv5W2RIk1xmWAgIASEgBISAUwLi8MriEAIfEIHnL16iRK3OKFkkN3p3aIBYMWM4HL3f5CU4e/4vjOnvg5evXqFj30koVjAHurWpg7EzVuDU2QsYO6Ad4saJiRmLArB5xyFsWDwCL1++Qp5yrVA4X1ZMHNxB6XcdOBUvXrxUTvClK0Go9G1vTB7aCcUKZsfJsxfQsvsYLPHvh+yfpVc7zeu37UfLBpVQoWQBJEoQN4zDS0442Uwa0gHx4saG//x12BB4AFuWjcHH0aN9QDMpQxUCQkAICAFPCIjD6wktuVcIvAcEyGHsN3IOrly/geyfZ0TeHJ+iZNHcyPlFRjW6kJAQ5KvQBuMHtUfxwjnVv/32x2XcvvsARfJlRYGKPvD364oCuT9TfyMnt2AlH0wb0Q05s2ZUDu+EwR1Qrng+9fe1m3Zj3vLN2LDotUN8594DJE4YL5RktWZ90aB6adStVgrjZ67E5p2HsW352NC/Gzu8DWqURt7yrTG6vw/KFMur/k67vEWqtMekoZ1C+/oeTJEMQQgIASEgBDQTEIdXM1CREwLvCgFyYo+ePIdDx89iz+HTageXdmXJIS1RqwsCFvohY9oUYYZz8/Y99TdH17BeLVCxdCHl8C6fMVDt2NK1fut+TJq7BoErxilneu6yTdi0/SAePHwMfPQRbt2+p3aOG9curxze/52/hLnjeoZzeMmBprZ/nD8cmdKnDP17qdpd0aJ+RTSs+TosQi4hIASEgBAQAvYExOGVNSEEhAAuXLqG6s37YeLgjsjxRQaHjiVholjf4jU7Y82cIfgsU5pw5Ci+lxzeFTMHIluW8A4v7faOn7kK00d1C3WIa7UcgGrli4Y6vL9fvIbpI7s6dXgDFgxHxnRvHF6KSW7ZoLKkLZN1LASEgBAQAk4JiMMri0MIfEAE9hw6hd0HT6qDXvZX0Wod0LF5TdStWlKFNPj5tlKH1eg6/dtFnL9wBbUqfYX8X/ugf9dvUbVc0VAJOoCWMlkidaDNlcPbb9RcPH/+AqP6tVG2jx4/VYfoqF1jh9eZw0shDXQgbmTfNqEhDXTA7ctqHTHVr4uKCZZLCAgBISAEhIAjAuLwyroQAh8QgT8uXkOdNoOUs1q3WkkkjB8Xt+/ex9K1gSrMgMIYUiVPrDI0UJYEiuONHDkyug3yR+G8WdHd5/WhtR17j8PfrwtSpUiC1Rt2YfKcNQhcOR5RokR26fDSIbOfdh7GsukD1EG2AWPn4cKl6yqGmPIAU0iDM4eXCk+MnPo9jp8+j8nDOiF2zE8wbuZK7D7wCzYvHY2oUaN8QDMpQxUCQkAICAFPCIjD6wktuVcIvAcEaLd21uIAle2A4mjjx4uN3Nkyo1XDyvg8c1o1wsdP/sXQiYuwfc9xRI0SGeWK54dvp4aIHi0qKDUYpQ/bsuswgoOfI0vG1CrjQ44vMrrd4b13/xG6D56GU79eQLLECdCzfX0E3byDUVO/R4fmNVUhDFcOL6U9owwSlC4t0kcfIWfWTOjTqSFSp0jyHsyMDEEICAEhIAQiioA4vBFFVnSFgBAQAkJACAgBISAEvIKAOLxeMQ3SCSEgBISAEBACQkAICIGIIiAOb0SRFV0hIASEgBAQAkJACAgBryAgDq9XTIN0QggIASEgBISAEBACQiCiCIjDG1FkRVcICAEhIASEgBAQAkLAKwiIw+sV0yCdEAJCQAgIASEgBISAEIgoAuLwRhRZ0RUCQkAICAEhIASEgBDwCgLi8HrFNEgnhIAQEAJCQAgIASEgBCKKgDi8EUVWdIWAEBACQkAICAEhIAS8goA4vF4xDdIJISAEhIAQEAJCQAgIgYgiIA5vRJEVXSEgBISAEBACQkAICAGvICAOr1dMg3RCCAgBISAEhIAQEAJCIKII/B+nalBchY2PyAAAAABJRU5ErkJggg==" + "image/png": 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" }, "metadata": {}, "output_type": "display_data" @@ -309,7 +310,7 @@ "outputs": [ { "data": { - "image/png": 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+ "image/png": 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nFtXFqs6+oJWdlk6fkqOC1z99658xuXz9bnHxYOISP/3JC+fPjsL5svm5mdQnwUure75fWnhZ3TCTHbq90P2Fvv1dBk6Fe+ua4rvvV/ItSkO73hOweedhy8oBo1twFYbuScZVxDcmnExyUsmVB7qo0O3JkXeUX3XW35WAElACSsAxAiFO8BqfPfrAVrHZJGKQ0LqbPEkCHwWvsegYwWmiDdgTK58jeI3VmKLaXmK4KG6q8o+4YJnRokayCGCfhsH4mSsxae5qEa1cgm/UYZhsXKLLg2/J8LUXD9ks2dP6SCtkYAhe4yYSUMFruNCCTdeVtKmSCp+hExaKL6yjgtdaaNPavnrTXuFt62NqjzVDt+V3+TQhobjlZrOkiePh2fOXqNKkt/yNgtf4NvsVm9pRweufvvXPmGQ79h85jWnz14m7iUl8Rn+b0N3i8mGPhU+C99mLV8hbtrmwmTTYTS41IpjuUFsXjUDdNoPEd9t2Vca/EwNTfz4jZN2h2a8itm3df3xjwvEzZ+lmiXfMDZL0K3bkHeXYa1xzKQEloASUgF8EQpzg5VL09yWa2N2UZQvD+PDaujTYCl66MlBI0s3i0IZJXqxStoKXm6ZoZbVnAbXdtGaW2g9v5IaeCD72lX/EhaNlGosjP9r0f6X1auui4UjsywYiVtD4fTKKAjd5Wad/3Qmaiy+lfwXvxu0HwUgWjHhhfRqbb5vWbF0a/CN47bkjUIhYuy6Y9plNZP4RvMafmn7gqzbtkfHjyNI6I0606j5WBLf1YRFmQ50RvKYv7G1AtO4XRwWvf/rWP2PSui70v6U7AIUsxahfvrU+CV5jQbd2y+F9jE8zrbwjpyyxu3k0IIKXrlJcBeFzwxB7nBjZbq70jUkL99HYue+4TJgiRgzv8DvKrxe4/q4ElIASUAKOEQhxgpfNNptkJg9pJ+HBrBM/srTuMnSUo4KX15eu1Vn8A5dM6Y1M336KYEAXgNbdx8qH22xaMxuiuHS7bu5gi9/gybOXUa1ZX1n+NFEaxs5YLuGkrKMPmLreuvNALFbM7x9xYZZO3ZpUQaMaZSxNZ70OHD0rS8AmGR9i/rf1xiW/hg43/3HnOX14aQllov9nlca9ZBOP8R/2r+BlCKd6bQfLxiBOQpjom7lw1XYJLWUvSkNABC/LzVSoniyvG99n02ZjdT+wbqIlLBytiU07jRCh5h/Ba3xIOWFicm9dCzUrFvMLL5as3Yk+I2ajRb3yaF6vvCW/mRAYwcsfzMYpRtyg8DWJUQC4+Y4TmtY9xoJhwXYsG434cf/dCGpv05qjfeufMUk3k58L5vRiyaV/M/2c/XI38Enwmk2ko/q0lHB1Jp08dwXVXD9FQWGydjnwC7xPnMx13PzGTXBMnLzYuv/4xIQh7hjVxPrZd/Qd5Ved9XcloASUgBJwjECIFLwMF1a1aW8hwDifmdOnFD9cxupl/FXzEfSP4GUkBkZk4IeuQqkfQRFEEWHEjHUIM4o2ije6QGTLnBYnzlyUvEzWHz1+II3vLJdm6ddIYcp4rvQ/NALJP+KCy+E/V+sg9aKVlC4R9x48lp38KZMntERzYF0YSqx510++v44stZshRYbcVMfNQIzAECVSRIlUweVq8u7xf7HqX8FLgV+sanupO8M8xYgeBbsP/CVCk+lLCl4uT3OZnYwypkuBW3ceSlQORs2glZjikf3BzWLrtu6zhB3zj+BlnUdMXoKZizZI/R1dWjfWS4618iXzI2H8ODh8/KxsRmSyFrxmksC/MxIGJ3PnL/+Dxat3yH/TtYSuBDxKmVZ5buTjKgQnFTGjR/UWlszRvvXPmOQkgmOlfKkfJZwefYXpz8qoFxvnDxGXEZ+SEbyse/GCuSTqCDmwj/gscQJquxnNiHa/LN+29/SJE1dAmDjBLVC+lfzb3mEq1pE76A7FUHlkzY2GTGazLP/t6DvKsde45lICSkAJKAG/CAQ9wft/65Z1bFl7jfBp05rJS7E1eNwCsb5aJ27w6dyyhlh4zcfdOswT8xqXButYurQ0Tl+wXoSDSeVL/ihL/Pz4WgteLsEzvq7ZkEbh0q5pFYycslQ++PTjM4n3GjFlsYQTs055smeQ5Wxa6F6+eiNhrmyjNDA/Lc/caMVIDybR53jQuPnSPpPo19iyfgUvrgLGVYO7/B1ZareuHzeouQ+abhH8/I3iqnWDipaoGeajTr9g64MNfBuUZuObycO60SrKcFy0WNNyzcR+oEBZPWuAlxBixqXBernZNkoDr2cfMfQcXTmY2Efc6Mf+aNVtjJfYzhwzFL4U9PvWTBAh7lufWLfPjDF7cZl948CwegxdZd1/lcsWks109aqWRMfm1Sy/8R60gHMFwiT6h3ZpVUOEO4XYmOnLLAcrMA9j+SZOGE8E788/5ZRDOUxypG/9MyYp+tkeMznkfWhd5yEx1jFz7fEw/cyVBBMfm/m4UjGgS2N5jm2TWTmxdTnwjTd/84lT6m/+DVFnLLO/Lx5hiYVsyrUOS8a/mdjMfPb6dGjgZXWFvzvyjvKrzvq7ElACSkAJOEYgyAlex6rteC769N66+xCRIoRHvLgxLYcROF6C15xcumeoqITxYkvAe1sfXpOb+RjEn0HRkiWJ7+d9Tbn0FeQH0rfTpxytO9vOuprTv2yPVzZWa0eX2m3vy7pS1PM+FDC+HaTgaJ2Z79Xrt/jn1j1EjxrZm6jwTzmO5KWlnpvBGCqK/cnEdvH+FGiJE8QVgRvQ1G3wdKza9Ie/ltbNvVi3G7fuySanFEkT+hlWixbyR4+fIU7sGMLONnH1gAdY0KJKge9b+tJ9ywkj3Sz4P1p748SK4Wd7bOvHyQhXanjoBsuwl/gcMXIFI5XsXT3OS8hCR/vQJ06cUHCC6ZP7j7XVe1gPV5kk0frMkx99S1/6HeVoOzWfElACSuC/RCDEC15nd6ZPgtfZ9/3c8ilAXOp1s7tB63PL1us/ETAbGP27tK78Ak7AxJi253IQ8FI/XWliK/vk/uNXqLrPvb9erwSUgBJQAgEnoII34Oz+/xH0evDEZxb31S4P6FL7V6tgCLhRQJfWQ0DTA60JvrkcfE6lnj57iXzlWshKhvVmVOsyVfB+DmG9VgkoASXgXAIqeD+TL098oj8o/Wutj4H9zGKdfjk3gvEksR9yZPQzFJnTKxNCb8CNik+fv0DZYnkDtLQeQrE4rVnv3nlg3e/7ET1aFBQr8P0XvQ+jpvAERPrzmiPIbW9Ad4o1m/fK88TnSpMSUAJKQAkEHQIqeINOX2hNlIASUAJKQAkoASWgBJxAQAWvE6BqkUpACSgBJaAElIASUAJBh4AK3qDTF1oTJaAElIASUAJKQAkoAScQUMHrBKhapBJQAkpACSgBJaAElEDQIaCCN+j0hdZECSgBJaAElIASUAJKwAkEVPA6AaoWqQSUgBJQAkpACSgBJRB0CKjgDTp9oTVRAkpACSgBJaAElIAScAIBFbxOgKpFKgEloASUgBJQAkpACQQdAip4g05faE2UgBJQAkpACSgBJaAEnEBABa8ToGqRSkAJKAEloASUgBJQAkGHgAreoNMXWhMloASUgBJQAkpACSgBJxBQwesEqFqkElACSkAJKAEloASUQNAhoII36PSF1kQJKAEloASUgBJQAkrACQRU8DoBqhapBJSAElACSkAJKAElEHQIqOANOn2hNVECSkAJKAEloASUgBJwAgEVvE6AqkUqASWgBJSAElACSkAJBB0CKniDTl9oTZSAElACSkAJKAEloAScQEAFrxOgapFKQAkoASWgBJSAElACQYeACt6g0xdaEyWgBJSAElACSkAJKAEnEFDB6wSoWqQSUAJKQAkoASWgBJRA0CGggjfo9IXWRAkoASWgBJSAElACSsAJBFTwOgGqFqkElIASUAJKQAkoASUQdAio4A06faE1UQJKQAkoASWgBJSAEnACARW8ToCqRSoBJaAElIASUAJKQAkEHQIqeINOX2hNlIASUAJKQAkoASWgBJxAQAWvE6BqkUpACSgBJaAElIASUAJBh4AK3qDTF1oTJaAElIASUAJKQAkoAScQUMHrBKhapBJQAkpACSgBJaAElEDQIaCCN+j0hdNq8u6dB8KHD+e08rVgJUACZy9cw+17j1Akf3anAHn95h32HzmFlMkTyf8CI7F9Z/++iu+zfosY0aMERhWC3D3fvH2HfYdPIUyYMCiY9ztv9fN8/x4fPwLhwobxs+7MGzaM3/k8PN87VJ6fNwxhGW7cvo+/L/2DRAniIEPaFCGsddocJfB5BFTwfh6/L3L10nU7sXj1DktZkSJGQJqUSVC+5I/4LmNqy997D5+NU+evyH+HCR0aUSJHRNaMqVG5bEEkTRTPS10uX7+N8TNX4vjpC7h7/zFix4yGbJnSoEmtX5AlQ6rPrne3wdNx/tI/yJElLdxb1/rs8r5UAZt3HkbECOHtfni/1D0+p5xnL16hgdsQP4uIGiUSZo/u4mc+k+HYqQu4cv02XEr8iDBhQjt83ZfM2GPoTKzYsBundsxCqFChfCya+fYePomlU/sgTqzoDleBH/MS1TuibePKaFyzrI/X/X35Blw7j0CFUgXQqkFFH/MFpC/WbtmHLgOn4rfx3ZA9c1q7ZX/tvqBIrObaV+rCZ7tXu7pe6jV78Sas+30/Fk3u6ZCYtL542vx12L73GBZO7OEjxynz1mLsjOXo3aEeqpQtJPnuPXiCSXNXixBmvzHxHVW/WilU/aUwQof+d3xwIjNs0iLs3HdM3lXpUiVFzYo/y3vNNs1btgVL1+7EpWu3kCBeLJQslBtuTaogXLiwDo+jBSu3yTjle3bmyE7+upY3YX03bj+A9GmSI2O6b7zcl+OTYtM/z67DFXcg49PnL1GvzSDcuP0AWxYNQ6wY0Ry46t8sh4+fw5AJC/28Jl/OTGjXtKqf+UyGoP5edrghmjFYE1DBGwS6b+Kc1ZgwayXy5syEqJEj4cGjp+BHk6l/54by4Waq3Wogjp78GyUK5YaHhweu3bgrL/7IkSLKB/jb1Mkk3+adh9Cu90T5d4lCuZAmZVJcvX4b67cdkL91a1MbNSoUDXDLb915gJ+rdbBcv3f1eMSMETXA5X3JC0vX6ozYMaMLj6CYXrx8jQ59P/WNSXsOnpQ+/D7rvwKK/z2ydwuHmzBgzDzwQ350yzRECCRrvqOCd+iEhfjzr78xeWg7f32QHRW8fCbcB05D8UK50LB6aR8ZBqQvHBG8X7svPDw8ke3nRpZ22orxweMXgELx+NbpDom7t+885P1z8uxljJ62TMbm4Y2T7XI07wK+T/heMWn/kdNo1GGYTMi/z5oOj588x5ZdR/Dq9Ru4t64pgtakJh2HY+/hUyhVJA/SpkyKrbuPyGoBhXvVcoUt+Si+WR9ONH76IatM/rftOSrvw5G9mzv0rHz8+BEla3SyiPCJg9z8PTmmmC9cuS1a1CuP5vXKe7lvrZYDED9uTH89uw5V3B+Zbt99iGK/thd2tpMfv4phv0+Zt8aS7cXLNzIWOLngRMSk7JnToWntX/wqzvJ7UH8vO9wQzRisCajgDQLdZwTvihn9LKKVL/zKjXtJ7U5smyGWGQrecxeve/n4LF+/Gz2HzUSBPFkweUh78CNeuLKbfFhmjuqMPNkzWFp45u+rqNtmsPy2fekoeYkFJE1fsB6jpi6VF+qSNTu8fZhsy+RHxjeLX0Dq4NM1wfHFmquUq/T754j0ry2y7PF3VPAGtL8dFbwBLZ/X+dUXQVnwFsqXDTv3HUeOLOkwb5y7BYN/BS9XCsrW6Wq53jfB27bneBGrttZElnHr7kPkz5XZUg5XhCo27IHUKRJjzZyB8vcLV26gfP3u+KV4Pgx2byJ/o5WybO0uIrQ3LRgq7w5asQtXait/WzVrACJFDA++V1p2GyNt/n3JSCSKH9vPrqd4oyilJZora/4Ry6Zw3wSvnxX4ShloXecK35IpvZHpW69WaGk8Z2IAACAASURBVP9U4dLVmyhXrxua1XFBywYV/HOpl7zB8b0c4MbqhUGWgAreINA19gQvq0W3gVWb/sCa2QOQ+pskdgUv8xUo3wpv3nqIEJ61aCOGT16MNo0qifuCbVq5cQ+6D5mBOlVKoHOL6gFqPV9e9NtbPWsAfijbXKw49pY8T5y5hDHTluHgsbPyoSpaIIdYrwvny46aFYtZ7s0l6DHTl+HQsXPyN76guUxp3Dl4DZeRSxXOg/sPn2DDtgNi2eZ9u7epbXmhs11sHxOt5UwpkiRAD7c6AWrn17rIN5HVwn00MqdPKR8ckx49eY5O/SfDpXh+EQq07E6aswr8e65s6RH2/76S4/q3EWFAKxzHBJcrOU6ypE+JNo0re3GX4bjZe+QUxvZrjWXrduLoyQt4//49xg1o4zAGI3inD++IGYs2gFY+LmNzYtSgWinLpGfO0s3Yc/AvTBnSXtwvmI/561Ypid/3HMH2P45KPTmJo9XQuD0YwWustr/v+VNWOdjXPd3qIHmSBFJXWz78W6d+k5EgXmzxa1yw8nexWrFudHko+3NeSxvZFymSJpCyTp+/IpNDWh1LFc0jwop+qFt3/4lhPZrh4LEz+H33n6BrRKZ0KTBhkBu4dGv6Iud33+Leg8e4/+gpXr16i2SJ4+HH3FnkGeBKDdsYN1Z0RI8eRcbx5Hlr5BmgkIsVMxqWT++LVRv3+NkXxsJbu3JxhAsbFjMXbcDUYR0sYtO/gpf+sTdu3RMm7FMKVXsW3otXbsKlfjex9LVuWMmhccJ3Ffvn9M7Zkn/qb2sxZvpyb5NzU2djBCAvTvhb1K+A5nX/fRY4Btr0GCfPeDWXIn7WwUwMtywaji4Dpko/7Fs7ATGiefXHpuiePHcNDvx5WtwDUiVPhIL5ssnz1nXAVIvVM1WKxHJPulbQBYPvqTgxo6Nj82qWuvjn+WvTsJJlHESMEE5W91o3qmRxRXn4+BlocNi1/7iMfY5V+pPz+bL2a3/+4pW8m3/+KSdG923pJxefMvgleB15P/n1XnaED5/fhPFjo0bFYmJkOXvhOrJmTOXlvRjgRuqF/xkCKniDQFf7JHjNi2Ld3EHyMrNn4eXHsWjVduBHb8+qcaDFhUuC/Df9dm0TP2bZijVE5m9TYvGUTxZk/yQuI/7atI9lOY8vIrpKbPhtiLx8TTpw9Awathsq/0mhS9Gw78hp/HXmkrhTmOVPY3GhIK76yyf/vzVb9spH0Qh9I3T4G/MVzpdN8vG+1mJ74uxVmDB7leQxIoZWH3vC3z9tdnZe3wRvpkL1vFmhuHGqWNV2ItZc65TDhm0HMX7WCvkAViz9k0XwckLz9NlLsdZRuDWqUUb8Fpes3SG+kjNGdsIPOTJK84xYpdWfv/H/n7947eNStj0mpgz+RitjvDgxxb2GiXXhJIupz8g58tEyKxfGasrfKEJ/+D6jtIUCne0zfrjW44BjO3/uLDKemJd9vmvFGESOFEE2zlnzYblFqrhJu5h++uE7+Xiu27pfuBxcPwn0mWb6vkQT8dGkf3yVsgUROkxo7N5/QiZYTFnSp8LJc5fl36xrloypsXHbARGpzeq6IHWKJJa+oMC+c+8h4seNhWrli2DvoVPiykH3ZtMX0xesk/vx+u8ypRFBznq9fPVa3D0eP33uZ19YC16Kzx9dWkk5tO7RV9a/gte6b+lucOzURbvjwPQbrbW02vqVbt55gOLVOkjdlk3r42Us2L6vVm/eC/dB0zB5SDsUyJNVxnjHfpNkQsb3iUnXb95DqZqdhCcnyb4lumqQjVlNoYWX+yKs3cZ4/adnpou8gyg4+Sxw8i4TsxEdsWLDHnn3cIk/2//9uOnTSnFp68PLMeef54/35zuNjCi2ObY5geSkjmOEvtp8B9NCnTRxPFy8ehPshz4d6nvzeab43nvopHwLApr8EryOvJ98ey87yofPL99HfF7Ns0dGnyPmA8pErwu+BFTwBoG+syd4jQ8cX7ZbF40QS5it4OUyHy1z9Gvji5kvblpf7z986qtQKVfXXT7gxsriHwTc0DB36WZZkuRHjlYvzvJtLS+sB1/W1kKYH5wcxRt7EbwVGnQXC8rO5aNFZDCZl6zxQTNCh0u2g9ybIHrUyJKPbhW0dvBaiium4Lh09rmCl+32yaXBiEta4PkhZXry9IX4YHMyYJaWjVilKG1Sq6y/fGvN+DFlLJjYw2I9vnP/EX6p4w5aq3atGCsCzCfByzHEe9N9x3zcn798JWOIyYwD+qX379xIxO379x9kwxTHgfno+yR4af2k5dNMzGhldu08EqP6tETxgjnlHpkK1Zd7c4nebATlPbbsOowOfSdZBK+pK581iuv4cWIhUqTwUlfTFx8BtG9a1eJHbNrN8rctHSX8O/WbIhvKkiSMg62LR0gdOg+YinVb98mmqOkjOvrZF9aCt0vLGharKf1auWTvLME7YvISrN+2X9yjHEmGi7U4a9VtjGyKs/U9N5ZbI0bnr9iKgWPne5mk8Z60eP5UobVs8B3Q5V8/Znv14cpBq+5jLZvrOJmgALZ1AeF9eD+6WNCiaxKtwYkTxkXoUKF99OG1Fbz+ff6MuOU9KbzzlWshq2HcGGwmDGWK/oChPVwt9SIDTpDMCof5wUwS/lg9zs8x5FP/fQnB69t72VE+ZsLaq309lCueTzYma1IC/iWggte/xJyQ3wheWl0ZPuzmnftijaLVih88s7RvNq3RL+75y9fgkiJnvLQ0zBjJzVrRxL2BybdZPS20tBIYC5ujTaJ1ON8vLUQwGAsNQ57ld2mFaFEjYduSkbJsTcsI62H7IbEVvOZjxXZXKvOTl2rwRcjNKfRr9cl3k5tg3HqNh/XGExW8XjetkQc3sa2c2d8bX1pZzXLul/C/9akMRkzgxjxaYOPGjuGj4LXdbDVw7G+Yv+J3Sx19Gge0vtVo3k82QnFDlE+Cl8vPFBQm0bWgYMU2aFCtNNq7VhV3mYIV28rEy94SPq1ZxsJr6mrulTVDavx19pLUdfzMFeJmQsHr1riyZbl83MwVeOfhKX72xrpOZsvX75LnxrYvKHjp1uBXshW8L1+9QaFKbeV9sG7eYIyYvNjLpjWKSbK1TlyS72THxck3Cy83pX14/0HcEfxKdGPhZkVOWulqY6I0mA1rtu+iHfuOoaX7GMskZsbCDRg5ZQnmjnWXTXAmGVFoKwLt1cesflkLQE7WOWnfvPDfCY6ZrFtb/q3L882H11bwfu7zx+v5HeD71rx/WRf609KqzJU/n8K4meeCESPo6hSQ5GzB6ygfCl7b5zcg7dFr/tsEVPAGgf43gpcCMWb0KLLc+k2yhCj7cz4vvmVG8PKjQWsVl7S+TZVM/AvNS48fIVqHfdutT4tivDgxLJYzRxEYixitztky/RtRgH+n8DYi4PT5q6jatLe3jQ62gpe7wKs16ysvdHsbTr5JnlCWMH0SOqY+4we2Eb9gJhW8/wpeWhIzF64vvpy0bFonbmjhxhb6YTMEnjMFL1cguMPeuKj4ZOG1FbwUOBQ6+9ZMkJi3Po0DugTkLNlEdvkP79nMYcFr/BzrVS0pPpcUCNWb9ZOxuG3pSG+PhW+Cl8+u+IOumSAuDUbwpvn/Uj/7gqEC6VKSOEEcuLepJe4knwTvbnFzsO2LtCmTyAYtv5Kt4GV+3p8W1b4dG8jGMOsoDaznolXbvRRLEfmrHR9Y3wQvRQiF1JBuTX2t4uwlmzBs4iJZljd+5eYCui3QfeHQhsmWFR7+ZuvCYPYecGMufbtNMhMOv/YkcFUjv8snX1ZavU06d/GarESZUHfmmTGTbXsNc1TwfonnjxuX6UtvJqycCPQcOlOMCkx8dzLUW72qJeTf1un6zbsoVbMzBnZtDJcS+f0aRnZ/d6bg9Q8fFbwB6j69yIaACt4gMCR88uG1rZo9H17bPGb5kpuN7B0AcPLcFVRz7SPhyvwT9or3Mf66tvFHuYGNUSW4aYSbR0xYHPraUbCaZCt4zRIdY6ryg+NT+q8LXvaj9eYxexZMs1x8ZNNU2ahmktnQeGDdRC/xeW2trs4UvGaJ2Fgwv7TgNZZafvg7uP4aYMHLcVa8WkcR1/vXTvA2HCl4M6ZNgTMXrlkmd6Yv7Arej8ChDf/6B9vri0/cdwEIZbGAm774HMHLlZeSNTuJb3+hfNkl7qyjYcmsG+6b4GU8afo4W1vNra/98OEjRk5dIm5XFJmD3Bt7C5lnJjVG7JvrTQgyMwkyk1vbUGXcXFm71QA/YzMbf126YUW32aDGfQRctTKuM8ZflOPV3mEZRvDai1xga+H93OfPVvCSD9+jjNZz6twV2aTLd69tqDfm+1oWXkfeTz4ZIhzlo4I3CAiVEFAFFbxBoBO/pOA1IYX4Ap83rpuXwP5cSqXPIl/wvgXOt4eEO9Hzlm0uVhrbDxw/bMV+bSebCrhcSH9jhhDiLvRFk3pIhAmmXftPoHnXURYfXvpGcicx/Tu59Gq9U5qz/39u3UfyJPH9ZeHlB4KWOy5RBpfkmw8vQyg9evLMizXebPQzm9bYTiMcbMPNte4xVmKVcoMiXUeYjEWUS967V46V5XRnCV5Ohn7+tb1Yn0yffGnBu2j1dvQbNVciJ5QumifAgpfjMUuRBsLoyKbJXixmtJa5D5qOf27dkygL5vkxfWEteGcsXC+WaY5h+tSazXqmLxh/OGfW9DIx6TpwmmzStNcXnyN42QbrzYD87y8teBn5gxFT7Pnwvnr9Fl0GTpGxV7dKCbR3/dXugShmrwI3nHHjGRP7gS4qtIhzfJIToybQncp2tcKM+0WTevp6oA6fI/aV7YSQ9zNjf9HkXhLBxPTTrFFdkDv7v64AtBKHCh1Knhe+C2kRZ3QQ62QreD/3+bMWvGTw9q2HxPk1yXDhRsxJg9281MXEY3emD6+j7yef3suO8lHBG1y+ZkG7nip4g0D/fEnBy+aYGIz8iNatWhIpkyXCjTv3sWDF7yIejSXWP003S4q00pQr7n15jAdnsB1j+rVCsQLfY9m6Xeg1fJbcghZh+keaE5esozRwR3rnAVNkg1DDGmWQIG4sXLp2E5t3HEbKFIlk44h/LLzm48Xd6unTpBDxa+sf7J92f428vgle4/vIDXwUrPQTJVsma8FrxA13ipcu+oOEIqteoSguX7sl8Zw5AaKoiBghAuav2CI+tf06NZCoDtYffb9OSfONh2HPsGEUgFxK5wZHLr+aDVS8/nMFL33WKSIZWWHt1n0iqmi5WzGzn7j2OOrDa+vSIGP158ZiQaPw4bMTMWJ4CaFGf2f6uNIPlUKWqxJPnr2w9IW14N194ISEp6L7AoVf9sxpULtScVy9cQf04+X13ISUImlC9Bo+U/z1+3asj0plPp0s9iUsvCyHm1orNuhhiTDhqOClDzDbIO+SOavlerqKMDHUmtkgasaciSJjPTbMhlK6P/FkNdvEiTP3JlDc0vrHZ7xjs2rik7pxx0ER6xxH1qd58X3CsU+hWfCH78TKyQ2L1lEf7I1Ps7RvNvba5jnw5xk0bD8UDOvGCYqJF8z3Z8v6FWSjGvc8zFy4UaI0cPOn9SYqHhYULWpkcbWwFbwmnnpAnz9rwWtW5zj26YJC33yGweO72Z7bAsNash+dGaXB0feTT+9lR/mo4P0aX6KQfw8VvEGgj41ApZ+W9Wk2tlWr13Yw6B/r06lH1vm583nI+AUWkcnf+ALnB8Sc3OafphvfYC6N8+Vum4yvl7WrxMbtB7Fmyz4Ru/QT5X25DGobt5ObzwaPn28JG8WyKYD5seEuaeP6YG0FYh6zzDlhYFvZDMPEvNw9bsJh+RQj2D9td3Ze3wQvl08btR9qES3sQ37w6BfL2KfmtCMuXY+YskT8QU3oHrPphpzoK2n8/tgeLoHWqFDMEhv3S1p42XdmciMCziZGqqOC14gm4wphxoFt+ZxQDevZzOIHzsgQRau088KHH8w03yTx4svMFY88ZZqJDyRdIZjYF4z7yw2VhiP/zokBJxi/uvaR2LrmeTJ9wViof/51XjaeRY4YQfpi2brdeP3mUxilfw9f+Yjw4cLJ5rV/00ec3D4LoUN/OhI6oILXnh+r2fzFch0VvPRppQi1l6zj+zJ+NqOsMC4uo1ZYJ1p/6crgU6KwpMBkYn9xgxrFj0mclHdtXdPLhixORCh6KYZN4kSDoal8O6LauEdYR0Cwrpc51IIrUsb1h/GQ+4+ea3numJ+Ctk+HBhKmjL9z8kJ/aCbjlkXBmyRhXC8b+T7n+eMG43ceHuLDy4lRj6Ez5KAPkzgJ5omC1nGu+RsnLblLu0oIN2u3Mh87xIcfONlhVB97fcxLHH0/+fZedoSPvefXv23R/EpABW8IHwO0YlF8JIofJ9CP/zU+ZdaWRWv8XJ579PgZYseK7i0QvH+7iWKFO7jjxY3p4y5m/5YZWPn5Qb55+4FsbEqaKL5lh7u9+nAnNwUZj1e29uWl28mtuw/Eeklrk087u79EG3kvRhqhdTNlsoQSeeRLJzOu48SK4WWJ90vehx/zt+/eIWH8OBZfzoD0BX1Gnz1/KVWjWGJYq6/VF1+Sh72y2vWeIKsFG+cPkQgcn5PoMnD3wWMZn76FnaJLDq223Nxre2DE59zf3rXmncQxYP08mbycGHEy41fbv+TzR/9sThKiRolsN9Y662ZW3D73pDVHePrnmfDpvfwl+ThSZ83z3ySggve/2e/SasahbN3dsaDknVtWt/iAOoKM4nbLzsPIljmNfAxu330kp6nRymh7DKkj5Wmer0+Ah4dMmLXKoRtzqdcZwtahm2umQCNAqyOtb4yQMayH61c7QjzQGhwMbmyOa7a2+OuzHAw6TqvodAIqeJ2OOOjegNY+nsTjSOKJQvZObvPpWrNBzfp3WrcGdG5kOfbXkftqnsAjQDHD43UdSQXzZrO7KcmRazVP8CbAWMmM62svakHwblnwqz0tv1UafzpBc+P8oZYTBPVZDn59qTX+8gRU8H55plri/wlwNzt9t7hTn7FNEyWIazfMjwJTAkog+BLgkvaFyzfEB5nH9moKPAJctbtz7xFixohmN7Z54NVM76wEAp+ACt7A7wOtgRJQAkpACSgBJaAElIATCajgdSJcLVoJKAEloASUgBJQAkog8Amo4A38PtAaKAEloASUgBJQAkpACTiRgApeJ8LVopWAElACSkAJKAEloAQCn4AK3sDvA62BElACSkAJKAEloASUgBMJqOB1IlwtWgkoASWgBJSAElACSiDwCajgDfw+0BooASWgBJSAElACSkAJOJGACl4nwtWilYASUAJKQAkoASWgBAKfgArewO8DrYESUAJKQAkoASWgBJSAEwmo4HUiXC1aCSgBJaAElEBIIHDyzEdcvvbB4aZkzRQaKZOHcji/ZlQCziaggtfZhLV8JaAElIASUALBnMD8Ze+xY4/jgrdG5TAoUiB0MG91wKp/5fpt3Hv4BHmyZwhYAf+/6v37D3j7zgORI0UIcDkBrcuRE+cRK0ZUpP4mSYDvHdQuVMEb1HpE66MElIASUAJKIIgR+JqCd+2WfegycCqyZ06L38Z3s5Co3LgX6lYpgV+K54PJY36MHCkiihfMiW5taoH/tk03bt/HyClLMLSHK8KGCeNUunOXbsbOfccxc1Tnz7rP/iOn0ajDMOxdPR4xY0QNUFkBrUuzLqOQI0taNK5ZNkD3DYoXqeANir2idVICSkAJKAElEIQIfG3B23fUXLx6/QYTB7mhYN7vhISt4B06cSGWTO2DDx8+4PqNu2jdYxxaN6yI2pWLeyN39sI1uf741ukIFy6sU8kGVGTaVurFy9e4duMuvk2TLMAiPaB1UcHr1CGihSsBJaAElIASUAJBkcDXFrxzlm5G/lyZsfvACSyf3g+hQ4eyK3j3rBpnwVW6VmfUqlQcNSoU9YaQYpeiN0PaFAgTOjTc29RC5m9TYuaiDVi4ahuev3iNogVyoGvLmogRPQouXrkpVuaff8qJxWu2y+9NapW1WDyfPn+JoRMWYsuuI4gWNRIqly0kv9N6bCsyL127hQGj5+HgsbNInSIxWjaoKNZopucvXmHoxEXYtOOQ/Hf2zGmQLnUydHD9FbzOfeA0LJjYA2HChMbtuw8xbNJiHD5+VkR7sQLfw711LcxbtgWzFm/E3fuPETtmNFQvXxTN6rogVKhQ3upiC8anMil4o0eLjGfPX4HuDYXzZUOrhhWRLHF8PHn6As26jhJGTJm+/QZdW9XEt6mTyX9Xb95P8pMNBXs1lyJoXq88IkUMjw8fPmL2ko2YtWgjHj15jrw5M+HtWw/MG+cu19668wCDxs3HgaNn8V2m1KhSthBKFMr1RR4JtfB+EYxaiBJQAkpACSiBkEsgMATv9OEdkd+lJUb2biGix9bCSyuwW5Mq8PT0xPHTl3Dl+i3MHtMVMaJF8dYRKzfuQfchM8Ayw4YNI6Jyy67DGDphETo2r4ZE8WNjzPTlSJwwDsb2a42TZy+jWrO+KFP0B3GhoFilSNs4fwiSJ0mATv0m49zF62jXtCoePXmGQeMWoG3jyqhZsZgXkUkf3FI1OyFTum9Qt2pJHDp2FhNmr8KyaX1EfLsPmoY///obLetXQIqkCTBxziqEDx9O6nD6/FVUbdobJ7bNwMcPH+FSvxvix42FhtVLi3CcNn+duHxQWLJNyRLHwz8376FV97EWy7hvFl4PD08fy6TgpdBt27gS0qRMipGTlyBPjgzSXop98syROa3UdebCDbh8/ba0SQRwoXoi7F3ruIj/ccd+kzGyd3MUyJNVrmM/sJx8OTNh4/aDmLFwA07vnA0Pz/dwqeeObJnSiJX+yvU76NhvErYsGo4kCeN+9sOlgvezEWoBSkAJKAEloARCNoHAELwUUJPnrsGaLXuxZs5AVHPt682Ht0Sh3AL+2YuXoM9r87ouaFG/grfOsOfSQEtk+jTJ0atdXcn/+54/0abHOOxbMwHXb94VwXtqxyyxlDLRgkyfVorvXKVcMaxHM5Qumkd+Gzx+AQ4ePYOVM/t7Ebx7D59Ck47D8fuSkSKqmcrVdRfxR4vp9yWaYGDXxnApkV9+mzhnNc5dvOZN8B4+dk78eTf8NkSEsW26dPUmzvx9DfcfPRFh3qhmWWHlm+A1PsL2yrR1aVi+fjd+W75F2sf0+s07/HX2Eq5ev42T566IkKVoNYKXQpw+2EydB0xB3FgxZGJRu9VAJE8SHwO6NJLfDh07h/pug+XaA0fPoGG7oZgzpiuiRP7kh917+Gy4lPzRrtXev0+cCl7/EtP8SkAJKAEloAT+YwQCS/DSj7VwZTd0b1tblu6tN63Rh9fapeHw8XOo13YwdiwbjfhxY3rpIXuCt0D5VmJprFCqgOTl8n6xX9tjxYx+ePfOw5vgbdd7AmLFiIZalX5G2TpdvYjPdVv3o8/IOTi8cbIXkbliw26MmrrUSz17DZ8lrgy0Tpes0Qnr5g5CyuSJfBW8qzftFVHN8m0T/042RfJnR4pkCbFh2wHUrlQc9auV8lXwUsT6VKat4N288xBGTlmKzQuHiSsDRWq0qJGRK1t6iSTBTYQ+Cd4BY+bB8/0HmViQedvGVVCpzE/eBC9Z9Rg60yKUTTsL588uVu3PTSp4P5egXq8ElIASUAJKIIQTCCzBS6z0552zZBMiRgiPZnVcLFEabAXvg0dPUbBiG8wb100iDFgnuh9UatQTR7dMQ4Tw4eSnCg26I3/uLOIvy2QsnhTMd+8/8iZ4i1RxQ5VfCqFG+WLIV64FJgxsi0L5ssm142euxIbtB0QEW1tVd+w7hpbuY8RqTN9gplotByBD2uTo2qoW8pRphuE9m1k25vlk4f3j4Em0cB+NXSvGIG7sGJamPXz8DD9VaC0RIUwYNNfOI5Ane0Y/BS8jSdgrk4X7JniHTFgo/tAzRnQS3+ITZy6hRvN+DgneDn0nIVH8OGjvWtWb4N21/wT4+/51EwK8Sc+3x1AFbwh/SWnzlIASUAJKQAl8LoHAFLxcPi9erb1schrs3sSL4GWUhvfv3+PR42eYvWQTaOXdtGCYZUnctJtl5CzZRIRh1gyp8fHjR/E9XbFxN0b3aYkE8WKj/+i5uH3vEZZO7Y1T566I4OUSfvw4MSXfiMlLxPrLzVkUrVGjRESvdvXw+OlzuPWagOIFc4mQsxa8/K14tY6oXr6IuBkcOX7Oi49tt8HTcezUBXGVYFQKunBkz5LWm0sDLcIsp+zPeUX002eX92lQvTTylm2O/p0byv3pd0vRSNcOvyy8pm62ZdIX2TfBO2HWSuzYdxyTBrvB0/O9+CT75tJgbeFdvXkv+o+eh2Z1yyFe7JgymaF4pnWYvsHFqrYXizt9h5kOHz8PD09P2aD3uUkF7+cS1OuVgBJQAkpACYRwAoEpeIl2yZod4jJgLXgZRcEkxt7NnT29bBxLmzKp3d6gFXbS3NXyGzevMQqA+6Dp2Lr7iPyNvrHj+reWwxbMpjVGPaDQZurXqQEqlv60FM8DHejvy0gKTLT0sm5c5qd7wY69xyxxeI3lkoKWybVOObRqUFH+fef+I4n2QAt0ulTJ8OHjB0QMH17iBZ/5+yqqNPm0aY3RH2iB7jZkukRjYMqRJZ1EN+CmL8YYZuJmMboYMFJDvV9LequLLRifyqTg/T5rOjSqUUYu2bzzsNyDLg2cFLTqNkaEKlOBPFmw5+BJXy287z98RE+3OlK3sdOXg5ZvbsBjmymWjasGxT8nAYzuwMR+JVdG0PjcpIL3cwnq9UpACSgBJaAEQjiBryl4nYmSlt53Hh5eIjnQsvjmzTskiBfLcmsjeCk2nz57iZjRo8ryvW269+AJIkQIZzcyhHVenppGcRs7ZnQJz2WS5/v3luV7Rl6gO0K2zGnFQutTohsD3TvMxi7me/nqDZ69eGXZGOdfhvbK9KsMhhCLGSOav06CIweGmDMbGoWFOwAAIABJREFUARlpYveBvyxhycw92SeMIhEnVnRLXr/q49fvKnj9IqS/KwEloASUgBL4jxM4eeYjLl9z/GjhrJlCI2XyT9ENgmMygtc6SoMz2jF9wXqs/32/bFqj1Zh+yHSbiBfH66Y7Z9w7MMqkBbd9n4kSpu3123ditaa1nfF4nZ1U8DqbsJavBJSAElACSkAJBCsCdGPYtf+4JYKDsypPqy9Djj1/+Rrx4sRA3u8zIWqUSM66XaCXS7cOhmq7//ApokeNLP7KXyLGriMNU8HrCCXNowSUgBJQAkpACSgBJRBsCajgDbZdpxVXAkpACSgBJaAElIAScISACl5HKGkeJaAElIASUAJKQAkogWBLQAVvsO06rbgSUAJKQAkoASWgBJSAIwRU8DpCSfMoASWgBJSAElACSkAJBFsCKniDbddpxZWAElACSkAJfB0Cnkf3w/PiGYdvFi5HPoRJk8Hh/JpRCTibgApeZxPW8pWAElACSkAJBHMCr2eMxNvNKxxuRaQGbohQ8tPxsEEh8SCDfYdPoWTh3HKQwZu37xAmdGiECxc2KFTPUgcPz/dyVDIPlvBP4uEY+46cQqkiefxzmd28jAV89OQFFC+Y87PLCkoFqOANSr2hdVECSkAJKAElEAQJfE3Bu3bLPvDY4OyZ0+K38d0sNCo37oW6VUrgl+L5YPKYH3kELQVatza15Dha23T6/FVUbfrvMb21Wg5A1gyp0KlF9SBFm8cfb/vjT6yc2R83bt+X43x5zDCPFvYtfcmDMg4dO4f6boMtRwUHKUCfURkVvJ8BTy9VAkpACSgBJfBfIPC1BW/fUXPBQwomDnJDwbzfCWJbwTt04kIsmdoHHz58wPUbd9G6xzi0blgRtSsX91Pw8lSzSJEiIGG82EGq+3hU8fMXL5H6myQ4e+GatPn41ul+WqJV8PrdjSp4/WakOZSAElACSkAJ/KcJfG3BO2fpZuTPlRm7D5zA8un9EDp0KLuCd8+qcZZ+KV2rM2pVKo4aFYr6KXiHTliINCmToGLpn8RavOvACcSIFgVrtuxD+jTJ0bJBBeTJ/skH+dadBxg0bj4OHD2L7zKlRpWyhVCiUC674+GfW/cwePwC0EoaMUI4OTmtf+eGGD55CVIkTYCaFYvh/fsPaNh+KJrVdZF7XL95Fx37TsbsMV2xfe9R/PnX3+jpVkfaS9GbIW0Kcb9wb1NLrNLL1+/G/BVbceP2A6lru6ZVxAJcrVlfdGxeDQtXbpO6NaxeGlXLFZZ/v37zDmOmL5NjjGPFiIZfXQqjYumCiBQxPD5+/Ii5y7ZgzpJNuHv/MdKlSoq/L99QC+9/+onXxisBJaAElIAS+A8SCAzBO314R+R3aYmRvVuIwLS18NIK7NakCjw9PXH89CVcuX5LRCOFq22ydWlo4T4aWTOkRtPav2D24k0YNmkR6lcrhR9zZ8HG7QfB/Mum9QF9al3quSNbpjRiOb5y/Q469puELYuG2z0St0nH4QgTJgzaNq6MZ89fYtn6XejpVlcE6r4jpzF7dBecOHMJNZr3E7Hdr1MDrNmyF7MWbRQ3hrlLN2PnvuOYOaozVm7cg+5DZoAcwoYNg3Spk2H3/hPi7tG6YSXk/T6jlBk9WhRkSZ9SBG+R/NlF5P5z6z4GjJmHfWsnCI/ew2eLeHZrWkV8mPuMmI1mdVzEPWTDtoPSphb1yuOnvN9h664jmL5gvQre/+Bzrk1WAkpACSgBJfCfJhAYgpeCc/LcNSII18wZiGqufb358JYolFv65dmLl9h/5DSa13VBi/oV/C14/zh8UoQlE90dytbpin1rJuDsxWto2G4o5ozpiiiRP/kGUzy6lPzRriWZvsFxY8eAe+taiB83pqUex05dAH87tmUaJs5ZjQtXbogVmIJ08Lj54l7RwfVXL4LXnksDy0iaOB4Guzfx0kZ7Lg0FyrdC304N8EOOTMhZsgm6tamN7JnTyHUrNuzG3QePMbZfazRwG4L48WJZylQf3v/0o66NVwJKQAkoASXw3yUQWIL3xcvXKFzZDd3b1sa8ZVu8CF768Fq7NBw+fg712g7GjmWjvYhN9ppfFl5rwUs/2sKV22Lb0pES2aHH0Jmygc46Fc6fXVwGbBPFYpeBU8Q1IGmieGhUs4y4QHh4eCLbz42wcGIPdOw3GWP7t0br7mPRp2N9DBm/AG0bVxFfZWsLrz3Bm6uUK7q0rIFKZX7yU/DSxaNl/YrIkDa5CHi6RlhHf6Agp/WcwrhNo8qoXLaglKmC97/7nGvLlYASUAJKQAn8pwkEluAldPrz0r+UYs0sw9Pv1lbwMpxWwYptMG9cN+TI4lWgBlTwnr/4Dzr0nYT96yb4GSnBDBD66NJKvHXPETDqwrq5g5AyeSK4dh6B2DGji4/u5oXD5Ld/bt/Duq37La4H1oL33MXrqNSoJ45umYYI4cNJ8RUadEeeHBlF9FonexZeI3jz586MfL+0wNKpvZEx3TfexjHdOzKkSSF+yyp4/9OPuTZeCSgBJaAElMB/m0BgCl5uuCperT0ePXkuy+4mLJmJ0sC4tY8eP8PsJZtAK++mBcMs7gem1wIqeCNFjIBiVdujQqkCaNv4U1zhw8fPw8PTE8UKfO9tUIyYvEQspcmTxAcFK/2O6ZpB6yrrN2ziIrjWKYdWDSrizN9XUaVJb2T+NiUWT+klZVkLXrabrgj056W/MTeXzVq0AYtWb8fAro2RN2cmHDl+Hi9evUaCuLHEh/fUjlnio8tkBG/ponnEbYH+yAxxRpeL85eui/BmmLcFK7fJhGKQexPEixMD42etFBF+eufsEDXoNUpDiOpObYwSUAJKQAkogS9PIDAFL1uzZM0O9Bk5x4vg5eYtkxh7N3f29LJZLG3KpN4AGHF5YtsMsdS26jYGWTKkQpNav4gQpevC1GEd5Lr7D5+gUKW22L50FBLEiwX633YbPB3XbtyV33kvCu+iBXJ4uw/L3b73mPyd19aoUAyNapSR/zZ1MJZWCtiiVduhXPH8Um8mum3s2HtMRC4TrcCT5q6Wf9PHOFvmtOg/ei5WbfrDUpch3ZsiXpyYqObax5vgpbDmYRR0seg9YrZEvTCJG/a4+Y2W8cYdhklkBiZGx9h7+JQK3i//GGmJSkAJKAEloASUQFAm8DUFb1DlwNPa6IsbJ1Z0ixXVXl15ituz56+8+REHtF209L7z8PASfeLdOw88efZS6hImTGiHi2bdeCpbnNjRvbhoUHzfufcIsWJG8/cpbw7fPJAzqoU3kDtAb68ElIASUAJKIKgT8Dy6H54XzzhczXA58iFMmk9xbDUpgaBAQAVvUOgFrYMSUAJKQAkoASWgBJSA0wio4HUaWi1YCSgBJaAElIASUAJKICgQUMEbFHpB66AElIASUAJKQAkoASXgNAIqeJ2GVgtWAkpACSgBJaAElIASCAoEVPAGhV7QOigBJaAElIASUAJKQAk4jYAKXqeh1YKVgBJQAkpACSgBJaAEggIBFbxBoRe0DkpACSgBJaAEgjCBDU+v4dDLew7XsEzMFMgVOb7D+TWjEnA2ARW8zias5SsBJaAElIASCOYEWl7fgwn3TzncivHJC6BFvMwO5w8OGQ8cPSNH+KZMnkiO6eWRxhEjhA/0qvMgiX1HTsmJavZSUKprYMJSwRuY9PXeSkAJKAEloASCAYGvKXjXbtkHHhucPXNa/Da+m4VO5ca9ULdKCfxSPB9MHvMjj/stXjAnurWpJUf/OiPVbjUQJQvnRs2KxeTI321//ImVM/s741a4cfs+Rk5ZgqE9XL2ciGbvZifPXka1Zn29HCtsnc/ZdXUKACcUqoLXCVC1SCWgBJSAElACIYnA1xa8fUfNxavXbzBxkBsK5v1OUNoK3qETF2LJ1D748OEDrt+4i9Y9xqF1w4qoXbm4U9BbC957D57g+YuXSP1NEqfc6+yFa9Le41unI1y4sL7ewy/B6+y6OgWAEwpVwesEqFqkElACSkAJKIGQROBrC945Szcjf67M2H3gBJZP74fQoUPZFbx7Vo2zYC5dqzNqVSqOGhWKekN/8cpNdBs8HV1a1cC8ZVtAEUjr8a07DzBo3HwcOHoW32VKjSplC6FEoVxy/fWb99B/9FzsPXwKKZImwP2HT9G2cWWx8K7fdgB//vU3errVkbwLVm7Db8u3SB7mbVm/Agrly4bB4xfI75ev3ZJyaLUe2LUxkieJjyMnzqPvyDm4fe+R5CmcLxu6ta2NGNGiSFspejOkTYEwoUPDvU0tZM2QCsvX78b8FVtx4/YDpE+THO2aVhELMC28HZtXw8KV26SshtVLo2q5wvJv67qSA63nZX/Oazfv8xevMHTiImzacUiuzZ45DdKlToYOrr8G++GsgjfYd6E2QAkoASWgBJSAcwkEhuCdPrwj8ru0xMjeLUSE2lp4aQV2a1IFnp6eOH76Eq5cv4XZY7qKYLRNxgqaIF4sVCr9EyJGjIA6VUrApZ47smVKI1bhK9fvoGO/SdiyaDiYr1xdd8SOGR2Na5ZF+HBh0W3IdDSsXkYE79ylm7Fz33HMHNUZx05dQK2WAzCyd3OkSpEYx05dhKfnexHezbqMwqlzl0UAx4wRFRNmrUKWDKkwoEsjnDp/BRcu3xBR+/rNW/QaNktEcrumVbFy4x50HzIDZBA2bBgRnbv3nxCx2rphJeT9PiP2HTmN6NGiIEv6lCJ4i+TPLiL3n1v3MWDMPOxbO0FYWNfVcPApr/ugaSLkWV8K94lzViF8+HAY26+1cwfYVyhdBe9XgKy3UAJKQAkoASUQnAkEhuBdNq0PJs9dgzVb9mLNnIGo5trXmw9viUK5BeuzFy+x/8hpNK/rghb1K/goeA9tmIwokT/5+HITWsN2QzFnTFfL33oPnw2Xkj/i29TJUKf1QKybO0g2qTFZuzRYi0jet1GHYZg8pD3y5szoxeeWgjdHlrQimpk27zyE/qPnYffKsQgVKhTuP3yCoycv4N6Dx9iy6wiiR4uMCQPbinXX1qWBojpp4ngY7N7ES/vsuTQUKN8KfTs1QOF82e0K3lM7Zsn9mUzevN9nwvclmogF2qVEfvlt4pzVOHfxmgre4Pzwat2VgBJQAkpACSgBxwgEluB98fI1Cld2Q/e2tcUVwXrTGn14rV0aDh8/h3ptB2PHstGIHzemn6JwxYbd6DF0prgZWKfC+bMjXpwY6DdqHg5vnGz5ySfB6+HhiUHjF2Dx6u2SlyKcrgZJE8UTC6+14P378g1UaNBd6vjnX+fRoe8k5MiSDhnSJgd/ixghnAhne4I3VylXdGlZA5XK/ORn2+je0bJ+RZQumsdPwWvyZsmQEiVrdPIi8lXwOvZ8aC4loASUgBJQAkogBBAILMFLdPTnnbNkk4QAa1bHxRKlwVbwPnj0FAUrtsG8cd1EZFone1bQXftPiODcv26Ct0gIdDf4tWkfEbwm6oNPgtfch+HB/jp7SaIrfJsmuVhibQWviS5xbMs0seCWLJJHrNJMMxdtwKFjZ0Xwnrt4HZUa9cTRLdMQIXw4+Z1COU+OjCJ6/WpbQAQvI1DkKdMMw3s2s2wUVMEbAh5ebYISUAJKQAkoASXgGIHAFLyv37xD8Wrt8ejJcxGRJiyZidLAeLiPHj/D7CWbQCvvpgXDLC4KpnX2BO/T5y9RrGp7VChVAG0bV5Ksh4+fh4enp/jS5i3bQvx1a1QoBl5P/1mzac3apWHPwb/w7MUrFMmfA2FChxLf26hRI8uGNgpeWpu56evi1ZsYPG4BkiSKK37JdFFImyop2jWpImHI6E4RK2ZUEbxsc86STcRHOGuG1Pj48SNmLdqARau3i8tB3pyZcOT4ebx49VpiA9uGJQuI4KU1mBv76JNMFwxGyaBLSfYsadWlwbHHRHMpASWgBJSAElACwZlAYApecluyZgf6jJzjRfBSgJpEK2zu7OlFkKZNmdQb6pPnrqCaax9vsWop7ijyrt24K9ewHIrqogVySOQFbv5iSpcqKSiQG9UoK5vR6F6xY+8xEaQH/jyDVt3HikBkYnSJ3u3rIXHCuCJ4GY3B/JYnewaJrRs3dgyJ2tBlwBQR8rwv/YajRY2MSYPdpBzGz500d7X8m5vXsmVOK1EjVm36w1LXId2bIl6cmN7aRsHbqkFFOYzCuq72OFjnvXP/EYZOWCgW5nSpkuHDxw+IGD681Dm4J920Ftx7UOuvBJSAElACSsDJBL6m4HVyU+wWTzFLX9w4saJbNnMxI4Xq8xevJWqDb4kW2IePn4lwjRwpgiWrcWmoWfFneL5/j+hRI3sphn+7ffchEsaPg3Bhw3i7BS297zw8vESeePfOA0+evZS6hgkT+oviYn0Y5ozpw4ePcO08QoS2cbv4ojf7yoWp4P3KwPV2SkAJKAEloASCG4ENT6/h0Mt7Dle7TMwUyBU5vsP5Q2pGWx/eoN7O6QvWY/3v+yUyxZXrt0G/6BUz+okVObgnFbzBvQe1/kpACSgBJaAElECQJEC3Bbov0F0hOCS6NBw+dg7PX76WSBUMVRY1SqTgUHU/66iC109EmkEJKAEloASUgBJQAkogOBNQwRuce0/rrgSUgBJQAkpACSgBJeAnARW8fiLSDEpACSgBJaAElIASUALBmYAK3uDce1p3JaAElIASUAJKQAkoAT8JqOD1E5FmUAJKQAkoASWgBJSAEgjOBFTwBufe07orASWgBJSAEvgKBO6c/IhHlz84fKdEWUMjVspQDufXjErA2QRU8DqbsJavBJSAElACSiCYEzg2/z0u7XBc8GavEQapi3zZQxGCOUKnVv8yY+Y+fCqnzWmyT0AFr44MJaAElIASUAJKwFcCX1Pwrt2yDzw2OHvmtPhtfDdLvSo37oW6VUrgl+L5YPKYH3nCWfGCOdGtTS057cw/qfOAKWhUo4zdI4n9U05g5p29eBP+OHxSjiDWpIJXx4ASUAJKQAkoASUQAAJfW/D2HTVXjvWdOMgNBfN+JzW2FbxDJy7Ekql98OHDB1y/cRete4xD64YVUbtycX+1MFOhepg1qkuwto6q4PW7y9XC6zcjzaEElIASUAJK4D9N4GsL3jlLNyN/rszYfeAElk/vh9ChQ9kVvHtWjbP0S+lanVGrUnHUqFDUW1+9efsOIyYvxqYdh/DmrQe+y5Qa3VrXwsqNezBj4QYkTRQPMaNHRYXSBVDNpQh27DuGUVOW4tK1W8iRJR16uNVBulRJpdzqzfuhSa2y2HPwJM5euIb+nRti3+FTmLV4I+7ef4zYMaOhevmiaFbXBaFChcKHDx8xe8lGzFq0EY+ePEfenJnw9q0H5o1zl/Ju3XmAQePm48DRs1KvKmULoUShXHbH2+s37zBx9ips2XVYJgS5sqVH11Y1sf73A1j3+358lzE11mzZh/RpkqNlgwrIkz2DlEMrNuvI+6dOkRgt6lew3GPw+AUIGzYMLl29hSMnzqNwvmxo1bAikiX+dDQ0jxgeMPY37D9yGimSJkD8uLHwa7nCKFUkDz5+/Igla3aA/fX8xStULP0TqlcoioTxYuOfW/fAsg8dO4eIEcLJqW1kFT58uEB5llTwBgp2vakSUAJKQAkogeBDIDAEL5fn87u0xMjeLUSc2Vp4aQV2a1IFnp6eOH76Eq5cv4XZY7oiRrQo3sBOX7Aec5ZswviBbREmTGjs2HsMP+TIiJgxoqJ8/e7o1KI6MqZNgYTxY4sYdanfDY1rlsVPP2TFb8u34vDxc9i8cDgiR4oAWoSZalb8GYkTxkGJQrlx8uxlEY3JEsfDPzfvoVX3sRbrNEV19yEz0K5pVeTLmQkbtx8UkX1652x4eL6HSz13ZMuURizTV67fQcd+k7Bl0XAkSRjXWzt6DJ2JvYdPolWDiiI+l6/fLQL9z7/+xrBJi1C/Win8mDuL3OP0+atYNq2PlDF/xVakSZkUcWJGx879xzFq6lLsWzMBMaJHQbMuo0Totm1cSfKMnLwEeXJkkPq+feeBcnXdpS7kwdRtyHQ0rF4GNSsWw/ptB9B7+Gz06VAfKZMnxKS5qxEjWlT069QATToOR5gwYdC2cWU8e/4Sy9bvQk+3uogS2X8uJ1/qKVHB+6VIajlKQAkoASWgBEIogcAQvBRrk+euwZote7FmzkBUc+3rzYeXYpPp2YuXYoFsXtdFrJe2afzMlVi7dR/G9m8tllpaXk2ydWkYO2O5WEw3LxwmWR4+foafKrTG+IFtUDhfdhG8k4e0R4E8Wbzc5tLVmzjz9zXcf/RErLmNapaV+tZuNRDJk8THgC6NJD8tnvXdBovgPXD0DBq2G4o5Y7pahCAFpEvJH71ZqmndzVmyiVhJK5Qq4OXeti4NtMqWrdPVImrfv/+A85eu49zF67j34AnGzVyBxVN6IfO3KUXw5siS1iJoKaJ/W74FK2f2x8FjZ9HAbQg2zh8qbWBie0oWzi2Ct1bLASK8a1X6WX6jxXvQuAXYv24C6rUZjLixY8C9dS3Ejxsz0J8MFbyB3gVaASWgBJSAElACQZtAYAneFy9fo3BlN3RvWxvzlm3xInjpw2vt0kArbL22g7Fj2WhvAuv2vUfoNmiaCDhuaqtevghc67hYLLbWPrzcMMc02L2JpVOKVHETQUhXBQpebqbjpjqTuHTP+hXJnx0pkiXEhm0HULtScbG4FijfCm0bV0GlMj95E7wrNuwGrbbWZTFT4fzZ0bB6aS+DwojYdXMHIWXyRL4KXorawpXbYtvSkYgWJTJcO48UsVvkx+xIFD8Ops1fh4UTeyBrxtTeBO/mnYcwcspSEfycbPQbNQ+HN0623M9a8LJt5BkvjldBO7pvS1y+dhtdBk4RNw+6jDSqWUbcNQIrqeANLPJ6XyWgBJSAElACwYRAYAle4qF/KN0RIkYIj2Z1XCxRGmwF74NHT1GwYhvMG9dNLJb20u27D3Ho+Dn0Hz0PXVvVEJ9TCtgZIzuJiwPTsImLsO/IKbFwMr189Qa5S7tiZO/m4r5gK3iNBXjmqM4Wn1nXziOQJ3tGEbwd+k4Skdnetao3wbtr/wn5nRbRsGHC+Doanj5/iXy/tMCYfq1QrMD3Dgve0+euonWPsdi3doLF3YNtcETw0mpdrl43L9daC166mbiUyO/jRkFalinUt+45AlrZ7Yn1r/UIqOD9WqT1PkpACSgBJaAEgimBwBS8XMovXq29bLii1dWEJTNRGt6/f49Hj59h9pJN4mu7acEwb36i9GHNkDaFWDQpYCs06I6OzarJxisu2efKnh6NapTFq1dvcObvq2jUYZgI3Hw5M2Pu0s2YOGc1di4fLZZMW8H77MUr5C3bXFwNihfMJf6wFLF0r6DgXb15rwjsZnXLIV7smCLgufRPlwaK2GJV24uLAn1omQ4fPw8PT09vopa/0YWA7hgMv/ZNsoTiepEtU2rZQGcdlszawnv1+h00bD8UK2b0k81k9LsdMGaeQ4KXm9LozpHp229QodRPOH3+ivgf002BLg1Tf1srlm1G08iY7hvcvPMAy9btFP/fEZOXoHLZguIKQesyxTHdVNgPgZFU8AYGdb2nElACSkAJKIFgRCAwBS8xMRJAn5FzvAhe43rA37mszkMXuEEqbcpP0RSs08xFG0SAmbyM2dunY32xqm7bcxS9R8wSQU0LMqMbcPMVLZImP4V20QI55L/tuTRQBI6c8ql8RkHgZi+6P9T7taT8e+z05RL5gREO0qVKJtEhjJvAsVMX0G3wdFy7cdfu/azbcf3mPbgPmgZew0RXgWnDO2L73qMShWHqsA7y9/sPn6BQpbbYvnSUiPR2vSdg6+4j8hvdLrbvPYZFk3oiS4ZU4tLwfdZ0EouYafPOw9IW48N89OQF0K/53oPHsiHuj0Mn0aBaaRGz7955YNS0ZTIpMImRI2aP7oJW3cbIfZgSxIuFGhWKWe4RGENfBW9gUNd7KgEloASUgBIIRgS+puB1FhbP9+/x8NEzxIkd3Zv7AJfeHz99jjixols2tDGUGd0kGLnBL3cD1pmWY1p7E8WP7aUJLJth1cxGOfrP7j7wlyUsmclMa6+Hh6eXOvjEgr7N7zw8JQSao4ltYYSKWDEcv4Zlk5tpP0OPFanSDhMGtvUSt9iwjR4tCiJFDG+pEhk+e/5KN6052kmaTwkoASWgBJSAEgg8AndOfsSjy44fLZwoa2jESvlvJITAq3ng35nW2PZ9JiJTum/w+u07iSbBkGuMxxscEi3AFLqMtECXkW/TJMfUoR1ExAenpBbe4NRbWlcloASUgBJQAkogWBHgARF7D5/C/YdPET1qZGTPktZujN2g2ij639KvmRbl/7V3H2BSFOkfx38TlmgCDGAWATGC+c4cUTEHTv/mLIoBRRFBEFAEATGhiBmznjlnzIooYkBFRUEFBESCosDOTP+ft+dWkbSzOz09Hb71PD533nZXd33qvd23q6urbDMK+7jPRorDVkh4w9Zj3C8CCCCAAAIIIIBAjQRIeGvExcEIIIAAAggggAACYRMg4Q1bj3G/CCCAAAIIIIAAAjUSIOGtERcHI4AAAggggAACCIRNgIQ3bD3G/SKAAAIIIIAAAgjUSICEt0ZcHIwAAggggEAMBSaPlX6ZUHjD12orrbph4cdzJAIlFiDhLTEw1SOAAAIIIBB6gVF3SeNfLrwZ250gtW5X+PERPtI2nrDd1hrUr+u20nYy26bNRu4GExT/BEh4/bPmSggggAACCIRTwMeE9+mX3pVtG7zlZi1179Aef3kdcdplOqHDPjqw3Q6qOqbqh7a1sG0X3OO8Y91thktZfpo6w916d2DPjgXtwGYbTZx64SC98+RQrbLyCu7WxHdf393dztevUtN79uu+/LwOCa+f2lwLAQQQQACBMAr4nPD2veZu2YYNN/U/X7v+u40rtnjCO/CmB/TwLX2Uy+X0w0/TdG7PG3TuKYfpuCNKO7L85TeT3HsZ+/IGD1ndAAAgAElEQVRtqqhIV9ubtg3wpJ+maaMW67gJcjkS3prec7WNCuEBJLwh7DRuGQEEEEAAAV8FfE54R/z3Re247WZ68/1P9Ohtl7vb2C4t4X3riRv+Ymh/7MU69vB2OvrQPZdKM+azr3XNLY/Idg5bu9mqbmJ8YLsddWynK9zR2vXWXsM976a7ntCKKzRwf/7t95PVY8Bt6nbO0brnkZc0/ZfZmr9goSyB3Ljlekolk+p+3rGqrMyo75ARmjr9V7eO3Xdoqx6dj9PKKzbUhElT1P3KW3X/TT3dHcoWTXgHDL3frWPCpMl6a9Rn7nbD3TodrVvvf0avvf2xttuytc495XBttOE6br1Tfv5F/W+4T++P+VJtNt1QHQ7YTfvstq37M6srnU5pwsQp+vCT8e49nHPKYe7uaGa3+D232SRec6xJeH39jcHFEEAAAQQQCKFAGRLe2wZfpB0PPltDendyk7rFE14bBT7/9A7KZDIaO26Cvv9hiu667hI3yVy8/DB5mvY75mId1n4XHdZ+Z0388WeNHfetepx7rLZsd5oeva2vWrdY1z2te/9b1bjRSrqw45H67MvvdNSZfbXGao10ePtdVK9eXTVeZUVdetXtsvuzBLPVhuvoxynT9c13P7lJ8J/zF+iyQXdqtx3a6oIz/qNx4yfqP2f01iev3r7ECO+Z3a5xk9MLzuigDdZppssG3ymbfnDaMQe4ye/d/33RTb4HdD9dlZmsDj6xu9pu2sJNxr//4WdddPkwvfTgYHer4qq6Op92uFpssLaG3Pywtt9qY/ceHn/+rSXueWlOIYzMgm+ZhLdgKg5EAAEEEEAgpgJlSHgfubWPbr77KT310jt6asSVOqpj3yXm8O6z23Zuh8z9fZ5sruxZJxysTicdukQnDb3jcT301Gt68/HrlUgk/vr5woWVBSW8Hzx3sxo2yM8NXtb0gBkzZ2vMZ99o+i+z9NIbH2qlFRvoxis7V5vwbrV5SzfBtXLtrY/om+9/cs+zMvLdj9Vr4B2ykez3x3yhUy4YqBHXXfLXvfQefJcO3ncnd1TbEt5F63r02Td176Mv6fE7rljmPccpmkl449TbtBUBBBBAAIHaCJQp4bX5r7sfcb4u7XycO6Vg0Y/WbA7volMaRo/9Sid2HqCRj1yr1Vdd5R+tvLjfcPffr+pxxj/+90IT3s9H3vlXory0hPf510bpwr7DtNXmrbRxy3X19Xc/qV7dCt18VZcaJby33Pu0Pvliwl8Jb1WSO+71u/TYc2+q58A73I/5Fi2777ilTvm/9kskvC++/oGGDP+vXnxgEAmvJBLe2vwfn3MQQAABBBCIk0CZEl4jtvm8Ix5+QfXq1tGZxx/81yoNiye8v/w6R7sedp7uuaGHO9K5aBl880N6871P3JHiRYtNE2i71yl6cFgvbb5xc/dHS5vSsGjCa3OADz+1l8a8dKvq1qlwzznohO7ad4/t3RFmK3c8+Jw++PjLGie8t973jDvVomqEd9GE9433PnGT6veeuXGpq0MsPsK7aMK7tHuOU/haW0l449bjtBcBBBBAAIGaCpQx4f1z/kK1O6qLfp39mzuXtWpZsqpVGrLZrH6dNVd3PfyCbJT3hfsH/fXKv6qZ73/0hU7pMlC9zj/e/VBt6vSZenf05+5c2OPOudJdIuzk/2uvjz/7RpdedZs7TWDRObyLJrx2P9vse7ruuOZibbHxhnIcR6dfNFgtm6+tC07v4M7BtakGjVZZwdOEd85v87TXf7ro0P12ls3TtTJ67HhVZjLaa+etlzvCu7R7rloXuKahENbjSXjD2nPcNwIIIIAAAn4JlDHhtSY+/NRI9Rky4h8Jr63VW1Vs7V1b0aDzaUeo5QZrL1XFEuJBNz341886Hn+Qzjn5ML329hj3YzFLqG2lBhu13Wm7LdSl43/02Vff66iOfbRowmsV2JzgYXc/6dZlH6/lHEfd+g1367B7sVUV7GOzYQPO1xdfT1SH0//50do9N3R3pz/YqKwl26cevb9b1+IjvKM+/lJnd79Oo5+/2f35x59/464aYcucWbFr2UPAnjtvtURdtsGFrRdsUxqWds/2UVycCglvnHqbtiKAAAIIIFAbAR8T3trcXqHn2K5nM2fN1SorNVSd/01HsHMz2axm/jrXXY2h0GKjpgsrK/9aFcLqmDptppqu3kQV6VSh1dTqOBvttaXQbLe2RT/Cq66yxe+5uuOj9HMS3ij1Jm1BAAEEEECgFAKTx0q/TCi85rXaSqvGa53XwnE4shwCJLzlUOeaCCCAAAIIIIAAAr4JkPD6Rs2FEEAAAQQQQAABBMohQMJbDvUAX3PWbGnyVEdTfnY09zdHCxfK/WeB+0/+35NJqW4dqU6dhOrWlWwaVL160qqNE1qzWUJrN0uoTp0AN5Jb811g6jRp8pScfp4u/Tnf0YIF0sJKacECx42tyoxkW9L/FVd15MZW/XoJNV1dblyt2fTvxeJ9bwAXDJyAxY39rpo8xdHMWfmYcn9PubGV//dczn5PWVwl/hdb+X9facV8PK3VLKFG/1yuNXDt5IYQQMAbARJebxxDWcsPPzn6bpIj+083yZ3q6M/53jSlSaN8krLOWgmtt05SLZsntNKK3tRNLcEVsAeiCRMdfT/J0Y9T8jFlseVVsQTFjas1E9pgvYQ2XJ+HK69sg1zP3N+kryc4mvRjTj/9L65mzvLmjuvXy/+usthad+2Emq+f0Lpr8XDljS61IBAcARLe4PRFSe/ERj6+HO/om+9ybjJiiW4mU9JLLlH5KivL/WOy4fpJtdown7BQwi0w81fpi/E5N8md9KOjHyd7l9wWKmMPVeuvm1Dz9RLaZKOkmjQu9EyOC6rAdxMdN8H9blJO9t9nz/H3TtNpufFkv69aNk+qdav8CDEFAQTCK0DCG96+q/bOs1np8y8dvf9RTp98lnNfIQeprNpY2n6bpHbYNqU1Vg/SnXEvyxOY94f0wUc5jfoop2+/9z/Bra53WmyQcONqu62SatiguqP5eVAEbNrLe6OzblzZg1SQik3barN5Uv/aJqnNWieUKu2KU0FqOveCQGQESHgj05V/N8RGb996L6cPx+b055/haKC9Qtxu66R22C7J1IeAdtnoj3N694OcPvsieEnussg23yThxtS2WyYDqhrv27KpCu+Mymn0mJx+KMPbgdro168vbdM2qZ3/lXRHgCkIIBAOARLecPRTQXf56ThHz72S1bffhSchWbxh9ipxp+2T2nfPlFZtUlCzOaiEAjYn9413cnppZFazfH6t7GWzGq0stdsjpV12SPJq2kvYWtZlI7jPv5LV26Nyvk+tquUtL/W0Fs0Tar9XSltsSuLrpSt1IVAKARLeUqj6WKd9hWyvAF94Nefpx0E+NmGpl0ok5L6S3m+vpNZekz8mfveHTVt45fWsXnsrJ/vvUSk2xWGPXZLaa9cU0x3K0Km2+sszL+Zkbwuc8D6XLyFnH7y13zv/JsFWsaEggEDwBEh4g9cnBd/R+G9zGvFAVtN/KfiUUB74722TOuKglFZeKZS3H6qbzuakl0fm9PSLWXdZp6iWenWlA/dNaa9dk8zH9KGTberCQ4/n5+dGuay+qnTckSlt3IqsN8r9TNvCKUDCG8J+s9eBDz6W0cefRWiIpJp+sC+kD9gnpXa7k6CUKmS//Dqnex6K/gPUon42beaEo0hQShVT9uHsSyNzesYeoBaW6irBq7ft5gkdeWhaqzEtK3idwx3FVoCEN0RdX1kpPftSVi+8Fu55b8WQ2x+Qow5Lq81mTHMoxnHRc+0B6v5HMvpkXHweoBa3s4/bjj6CBMWrmLJ67AFqxINZ/TLTy1rDU1c6ZfPGkzqgXYqNeMLTbdxphAVIeEPSuRN/dDT8zoxmxPSPx+LdtE3bhE48OqV6dUl8iwnhkW/n9PATWdnDVNyLJSgdDklpz114HV1MLNhUmHsezur9D6M9faFQI1sX+syT01p/HX5XFWrGcQiUQoCEtxSqHtZpH3bYB2lPPJuVza+k/C3AH5LaR8O8Pxzddk82VEuM1b61NTvTRntPPc4+aiNBqZmcZA/mw+7IBG4d3Zq2w+vj7UO2g/dLuR+22Qe5FAQQ8F+AhNd/84KvOGeuo1tGZDX+2/i+aq4Oy/6QHNI+5a7mwB+S6rTyP7fd9m6+M6s5cws7Po5H2QeSpx2fUuuWjPYW0v/2YP78Kzk98VxWtnIMZekCtilKx5NSWmVlsl5iBAG/BUh4/RYv8Hqfjsvpjvuy+n1egSfE/DD+kFQfAPaG4Mnnsm5iEqUloapvee2OsAcoe5A6uH1KKfLeZSLOnuPo1rt5MC80yhrUl/sGYYtNCapCzTgOAS8ESHi9UPS4jtfezOr+RxkmqSnriitIF52T1ppNGT1Z3G7hQkfXDScpqWlM2fGtWyZ07un24RFxtbjf1GmOBl6f0W+/10Y23ucceWhSe+/GHsXxjgJa76cACa+f2gVc67FnsnruZZLdAqiWeoht+9mlEx+ILIozf76jwTdmNfEHpsbUNq6ar5fQ+WelVL8eSW+V4Q8/ORo0NBOa7ctr2/elPO+Adkkdsj9JbymNqRuBKgES3oDEguM4uvuhrN56j6Sk2C6pU0fq3DGlVhvyyvD3eY4G3ZDR5KnFqnL+2mtKF56d1goNSXq//S6nIcOysq2nKcUJ7LpjUsd2sG8QiKviJDkbgeULkPAGIEKy2fwX86M/Jtn1qjtsiakzTkppy83jm/T+Ois/Ajcj4jvxeRUzhdRjO2l1OTutJo3im5x88nlOw+7IKpMtRIxjChHYfuuETj4mpVQqvnFViBPHIFCMAAlvMXoenGsju8PuzGrMJyS7HnD+owobMDnvjJQ22zh+Se/c3xxdeU0mtov+ex1Li9bXeBWpR5e0Vl4pfsnJuK9y7lxwVmLwPsK2bptQxxNTjPR6T0uNCLgCJLxlDgTbyvWNd5mzW6puSKeli89NaYP14pP02pxdS3an/FwqVepds6nU/fy06sVoTu/3k3K66vqsMhn6v1QCu++U1DEdmNNbKl/qjbcACW8Z+982lHjkKd4LlroL7EO2Huen1XSN6I/IZTI2ZzerCRN5Y1DquLKl8C48O6V0Ovpx9fN0R/2G8IFaqWPK6j90/5T2bxefB3Q/TLkGAozwljEGRn2Uc9eupPgjYBsJ9LwwHekF33M5R0Nvy+rTcSS7/kSV1GazhDqdklIyGd2k19bZvXxwho1K/AoqSaccm9K/tyXp9ZGcS8VAgBHeMnSybb955ZAM8+B8trev7C+9MK10RD8MYUk7nwPqf5ezzSkOPzCar6EzWUdXDM7opynlsY3rVW0Hya7npNSiOUlvXGOAdnsvQMLrvelya/zjD0e9BmQ0e47PF+ZyrsCuOyR13JHRS07sY6JrhvHGoFxhbsvgRfHjSL4xKFdESSutKPW9hGXwytcDXDlqAiS8PvaorchgSckX43nl7CP7Epc648SUtt0yOiMns2bnH6L+/LOcqvG+ts0T79strUarRGdqw4djc7r5Th6iyhnZG7XIzxNnjd5y9gLXjooACa+PPWk7qNlrZ0p5BepUSL0vTmv11cKfnNgazjY9ZtJP5TXl6tL66yZ0SedorKU6fYaj3ldltLCSni23wMHtUzpwn+g8oJfbk+vHV4CE16e+n/B9TgOuy8phcNcn8eVfptkaUq+L0qqoCHfS+9ATWb08kmXtAhFUkvbePakjDwn3lJnKjKM+AzP6eVpQVON9H7aeuC2tyHzeeMcBrS9egIS3eMNqa7A/IN0vz2jW7GoP5QAfBdrtntR/QpycfGsPUdfyxsDHkCnoUt3OC3dy8t8ns3rxNR6iCupsnw5qtIp0RY+06tYJ9wO6T1xcBoGlCpDw+hAYjz+b1bMv8QfEB+oaXcJGTuyjkGYhXJ/XliDr2T+jadNr1GQO9kGg6er5uArjUmU/T8vHFW+ifAiUGl4iyquB1JCCwxGolQAJb63YCj9pxi+OLu2XUZZ8t3A0H4/ccAObd5n28YreXMqmMdh0BkowBWxag01vCFvpf02GTUsC2mmppNS7Wzgf0ANKym3FTICEt8QdPuiGjMZ/y8TdEjMXVX3YFnmfM9dR9ysyWrCgqGZzcgkF6taV+vUI10Yn743O6fZ7eYgqYVgUXXVYH9CLbjgVIOCBAAmvB4jLquLDsY5uvpON50tI7EnVKzSUBvRKq169cMyPGz4iq9FjeGXgSeeXsJJtt0rqjBPC8QHb/PmOuvXN6Pd5JQShak8ETj8hpe22Ct/bA08aTyUIFCFAwlsE3vJOtTmW9gfk11klugDVeipwwD5JHdI++MnJ5KmOLhvAQ5SnnV/Cyvp0S2utZsF/kHryuayefpGHqBKGgmdVN2ks9e8ZzjniniFQEQK1ECDhrQVaIaeM+iinW+/m9WAhVkE4pkF9aWDv4I/yDrsjo48+YYpMEGKmkHvYqk1CZ50c7DniCxc66tKLjUsK6c+gHBO2aVhBceM+4i1AwluC/rcd1WwUbsrPJaicKksmcMRBKe27Z3BfFU6bkf8Aki/oSxYCJanYlpNqunpwR3ltCTJbiowSHoE1VssvU8YObOHpM+60/AIkvCXog7GfORp6G6+dS0Bb0iptLu/gvmml08FMTu68P6t3RvHauaRBUILK/71tUjYiF8SSyTi6sBdzd4PYN9XdU6dT09py82D+rqru3vk5AuUQIOEtgXrfQZX6ga1eSyBb+iqPPiKlPXYO3ijv7DmOuvbOKEe+W/og8PgKyaR05aVprdokeMnJ6+/kdO/DjO563OW+VLfeOgn1vDDY02V8geAiCBQoQMJbIFShh43/xtGgoYzuFuoVtOMaN7K5vBVBuy09+FhWr7xBthu4jinwhnbfKaljOgRvlLdr70o+rC2wD4N4WJdOaW3cKngPUkG04p4QIOH1OAbsQzX7YI0SXoHzzkhr802C80ckk3V0fg8+KgpvREm2Lu91/dNKp4ITV1+MdzTkJh7OwxxX22yZVMcTg/cgFWZT7j26AiS8HvZtZaWjc7pllOFviIeq/le1/dZJnXZ8cP6IfPypoxtvJ6j8jwRvr2iJiSUoQSl33JfVux/wcB6U/qjNfVRUSNdcEfzVZWrTNs5BwGsBEl4PRdmpyEPMMlZlf0SuuzKtOnWCMRp30x0ZjWEpsjJGhDeXbrt5QmefGow5l/Zwfl73jBYu9KZt1FI+gZOOTmnH7YPzIFU+Ca6MwPIFSHg9jJBrhmU07ivWSPWQtGxVBWWdywULHJ3bLaMsA3FliwWvLpxKSkP6pdWwQfkfpD4Yk9MtI/hYzau+LWc9NofX5vJSEECAhNeXGPjtd0cXXMoaqb5g+3CRzTZOqHPH8v8Reeu9nEY8SGLiQ5f7conj/pPSrjuWfzTuuuEZffYFD+e+dLoPF7n68rRWXqn8D1I+NJVLIFBrAUZ4a033zxNJTDyCDEg1tpTUjQPTqqgo7x8REpOABIRHtxGEB6nKjKNOF7HEnUddGohqjjsypV13KP+DVCAwuAkEliFAwutRaNjrQXtNSImOgI3wWoJSrmI79nXqyjzLcvmX4rp160jXD0grVcbVGmzalU2/okRHYNstkzqD1Rqi06G0pCQCJLwesZ7fo1K//e5RZVQTCIF99kiqw8HlW61hwveO+l9LYhKIYPDwJrp1TqvFBuV7kHrkqaxeeJWHcw+7tOxVNWggXd8/eOuHlx2GG0BgEQESXg/CYcpUR70GkJh4QBmoKtZdO6FeF5VvHu8zL+X0xLPM3w1UUHhwMwe3T+nAfcr3+vnywRlN+pH5ux50ZaCq6H1xWmuvWb4HqUBhcDMILEWAhNeDsHj1zZweeJTExAPKQFWRSEjX2lf1DcvzR2Tw0Iy++obEJFBB4cHNbNQioYvOKc+DlK36YdNkKNETOOqwlPbatXwPUtETpUVREyDh9aBHh96W0djPSEw8oAxcFWedktZWW/if8NqHRed0zSjDc1TgYqLYGyrnB5FsYlJs7wX3/DabJXTOaeV5kAquCneGwN8CJLweRMOFvSo1e44HFVFF4ATa753UYQf4P4934g+OrriakbjABYRHN9TjgrQ2WM//B6nHn83q2ZeYv+tRNwaqmpVXkq6+nHm8geoUbiZQAiS8RXaHjcSd2YXEpEjGwJ6+VZuEzjrZ/1GT9z/M6bZ7GN4NbGAUeWPl2thk2B0ZfcSufUX2XnBPH3Z1WhVp/x+kgivCnSHACK9nMWAff9hHIJRoCqzZLKG+3fxPeJ94LqtnXmQkLppRJR3QLqlD9vf/zcFlAzKaPJXpV1GNq54XprXeOiS8Ue1f2lWcACO8xfm5a++yRWeRiAE+PZ2Sbh7i/2vC4XdlNfpjEt4Ah0ZRt7bNlkl1LMO6qR0vqGReeFE9F+yTTzs+pe235sO1YPcSd1cuARLeIuWfeiGnp57n1XORjIE+/arLKtSksb+32GdgRj9OZiTOX3X/rrbOWgld1tXfNwczf5Uu7lPpXyO5ku8CB+2X0kH7kvD6Ds8FQyFAwltkN916d1ajPmIkrkjGQJ9+/plpbdra39eEjMQFOiSKvrlyvDn4YryjITcx/arozgtwBdttldTpJ/g/VSbAJNwaAn8JkPAWGQyDbsho/LeMxBXJGOjTTz4mpR2282/U5M8/pXO6MRIX6KDw4OZuGFCh+vU9qKjAKt79IKc77uNtVIFcoTysnGs8hxKMm46VAAlvkd0d1l2LbFOFZELKLmVwul5daY3VE/rhJ0fOUnL5RitLdepI02Yside4kTRrtpZ6XpHUZTv96MNT2mMX/xLeWXOki3qFM+FNp6XMMgYRlxc3Fo+2s519ULW081dtIv0ys2whUJILD+pToUarlKTqpVb62ls53f9I+BJei41UatlxZR+Wzp3r6Pd5SzZ7eb/LrF77fWVTPaJS7IM1+3CNggACSwqQ8BYZFZf2q9TP04usxOfT7Rf95d3zH2LZ/VcV+9+7dEqrdcv863tLdkc8kNXbo/JZ8UorSpd1rZCt92hlwQKp3zUZ2dbKVq68tEJNmtiJ0lMv/L3e5/7tkjpwn5TOvLAylImwrcNr6/H6VSyeFu0Xv65b7HVabZhQ13PTuvKajL6b+PeTUnVxY9vs2txDiz8r743O6fZ784mZzXW1Xcnq15MWLpSuG57R1xPydXc/P610hdR3YDhf09v/B5utUax64ec//0pOjz4dvoT3mA4p7bJDUmec/8+HQPs91fnMtGx6iJVp06U+Ayu1sFJuLC3vd9meuyTV4ZCUUklp9lzpkj75j/nsvKEDK/TqGzk99kz4rNZYTep3qf8f2RYehRyJQPkESHiLtLeROBuRC0vpcHBK7XZPur/YF0+sdv53UiccldK9D2fdpOPCs9Nad52EbD6pJb+dO6a1cauE+l2d0W+/O7q8R4XmzJF69KvU5pskdO7paXW6qFJHHpbS1m2S6ty90r3OjQMr9EpI/4BYv/q9+UQYl7qzPq5bN///gsUT3uXFzQoNpWv6VWjs546G35XRQfvmHy4GXJfRt985svVqW7dKuiPe9kA1dbqjG27JaO018x992eYc5hXG0qNLWhus69/c8CeezeqZEG06sVHLhC44M+2O7tqbqMUT3muvrFBlRupzVaW7FJfF2evv5HTff7Oq7neZfYj63aScbr8nqxsHV7gP9jblwx689tszqbMuCufDOZtPhPE3AffslwAJb5HSNtfS5lyGpViC0aRxQmeenHZfHS86kmi7P62+WkLnXZIfSan6krxqiaybBlW4o2vX3pwfUbPkeZ89kjqtc6VsFOZf2yR1dtdK7fSvfOJs/7uNjtr+7p26hvMPiLXTpjPYtAa/is0Jt7nhYSrrrpXQ2mslZPOdF094lxc3B+yT1MH7pdy4mb8g32JbBu6Tzx3ZJgn97KHqN0cDr8/ovDPSWqtZQl17V6rXRWk3CbKHr7AWG4G0B0i/yoOPZd0Hz7AUmx5j/W0J6JZt/jnCu2pjacBlFbr7oazefDffpt4Xp7XiCgl16Vmp6n6XDb+mQo89ndWLr+VkifO4r/IbvVisPv9qeFfesYdOe/ikIIDAkgIkvEVGhSV1S5vnWmS1JT+97yVpJZOJfyS8V/Wu0J9/Oup91d9JxG3XVejJ57N6+oWcbr22Qi+NzOm/T+Zf9VV9EWxLHVly3OmUtDsafNRhKW27VVJdLq3UjYMq9PSL+ekN9srbXnXbq8MwFftgzRI5v8qn4xxdf0v4Ermq+YOLJ7zLi5tD2udjxeKmqtj2qL/OctRvSEa2rmjL5kk3yb2iR4WmzXD0zItZdzpDr/6Vmj5DarFhQuO/Cd8ob6dT09pyc/8S3hEPZvXWe+FJeKviwX6f7L7zPxNee6NkD0D2u+qnKfm+P+uUtDZrnXBHZ6v7XTawtz2856fO3Hx1hczGkuvddso/tK+4grTKSgn9EMKlAe13NgUBBEh4PY+BKCW8NtIx45d8olFVLFkZ+VZODzyWdRPequTXfl71R8eOn/iDo8F9K7TCCvmP4SzBrVdP7mhvz375ZCWVzs+RsykTYfrD63fC+9kXjjtXNWxlaQmv9ffy4sZGd+1ByJKUqmLJis3X7XllpTZYL6Gu59jDWX5OubkcfURav89z9MY7OZ10TMr937PZ/Kvt6b+ER80eELfcwr+Ed9HR0PAoyX2AXjzhrZqyYA/bVR+d2fSX7bbOJ8bL+112/6NZ7bfX3zvd2Ru6S/pW6porK/T4M1k1WyOhHbdPKudIM2dK3a8I1wekJLxhim7u1U8BRniL1D63W6X+CNGUhqrm1naE114BPvLUkiO8VX90LOmZNj0/imuv1mw0uGHDhPbeLT9yYq9xbfRk0VHkIrug5Kf7PaXBpo3YK/ywleWN8C4rbqob4a0yaNE8oQnfO2rVIqELO6V1yeWVOvOktBYslGt1/YAK9yGq6hggsC8AACAASURBVO1DGOz8ntLw0BNZvTwyWiO8vQb8/dFsTUZ4LT7qVOSnTHz/g/PXlKxzLq7UsMEVsq29LZ4srsK0CUzdOnLfqlEQQIARXs9j4KLLKt1luMJWlpbw2ry31VZNuB+bWbF5mb26prWsObxHHpLS3rvn5/AuPq3D5vBu1Sbpzge2j98ar5JwR0psLuyO/0q6H7eFpfj90ZotB9d3UHQS3sXn8C4aN1VzeC0eLHm1MnxI/iM2m8O7eOnfK/8WwjZQuOGqCndr73seyrqrjsz7w9GAa8Pj1v2CtJqv598I75PPZfX0i9FIeKvm8C46TaNPt7RWaPj3HN7l/S5bNK4sSbTE9sHHs3p/dM6NK3uIsgdPm+trH/vZChdhKLYiypArSHjD0Ffco/8CjPAWaW6vXadOK7ISH0+3ZXjsY5CeF1W4Uw+qlvGxhNWW/jn+yJTusVUaPsjponPT7tqoi6/SYF/G2yoNNk2hapWGRZtga19eN6Dir6kLtuzUvnvlP0yy5NeWmApTQuf3smS2vnGPkL1GtdEyG+G9+Ly0rr4x447G2vJQVqpWaVha3NhHlPb6+eNPHQ0fseQqDYvGVdVKIPaQOXuOZAmjLYHX/9r8CO+rb+bc5CQsxR4612zqX8L7wqt/v50Jg5FNh7G4suXDbArDuRdXulNXqr4BuK5/hbs0ov0Os9izHRHfeDfn/t6p7nfZou23+flbbJpfVcaKPaA9+3LWnTJjsRmmpSdXXy2/PCQFAQSWFCDhLTIq7I+4zV8NSzn1uPxqCosWW2f3rvuz7vxaW0e1ZfO/1+G15LfqK2hb8sbW4bVRBCs2Imcjaj8u9mGHzaXbtHVSF1ya/wNi5/Xplt9VysnJ3e3JRubCUvzeeGLOXLlfmoep2DzdqnV07b7tAcpG/qv6f3lxY9MabKS3qowek9PwEUsmrraUlH2gdMOt+VHcbdomdMqxafcBbt4f+Tm8YVoi0D6cso0P/Coj384v2RWW0mbThM45/Z+bKNjmI9365uNqk43yH67ZsmVW7ANGS37t91J1v8uqDGx019bdvfP+/LJkVv7v8JT78ZqVyVPC9bbFBihsBRMKAggsKUDCW2RUDBqaCeUX4strdoP6UtM1Evp+0tJ3WrPXiXXqJv7acKJQQlsUfWm7sxV6frmOO+nolPsRi1/Fluey0fColeXFjb15sA/U7OGpampDoe0Pa1zZCGXDBoW2svjjFt3Qo/jaglODje7OnuPIHhQXL9X9LltWK2xk2fomTA9Q1paqzV+C0zvcCQLBESDhLbIvbr07q1EfhWe0ssjmxvJ0e1W6aWv/Xj0bsk0jCdvybbEMjlo22nYHs/WG/SxfjM/PfaZEV8CW+DvjBP+WUIyuJC2LogAJb5G9+tQL4V2kvMimx+Z0W+DeRif9LLZdbhjXAPXTKMzXsp3ibKMEP8vMWdLFvaP35sBPw6Bfy76XOLg9CW/Q+4n7K48ACW+R7ja6a6O8lGgKlGMkziSrVsaIpiqt2rpNfrdDvwtvDvwW9/d6S/tGw9874GoIBFeAhLfIvpn0o6PLB/OasEjGwJ6+ZrOE+nbzPzGxdUCfCeESUoHtyIDd2P7tkjp0f/9H4i4bkNHkqeH5yDZg3Rb427m0S1rrr+vv9KvAo3CDCPxPgIS3yFCozDg6swsJb5GMgT19qy0S7palfpf3P8zptnt4c+C3u1/Xs6WwbAc/v4utbfzRJyS8frv7db2hA9OqV5eE1y9vrhMuARJeD/rLlpBa2hfCHlRNFWUWsC1IDz/Q/5E42/2p39U8SJW5+0t2+e7np9V8ff8Tk8eeyeq5l/nItmQdW8aK2XSijPhcOhQCJLwedNP1t2T06ThGTTygDFwVHU9Ku+u9+l0qKx116ppRjtzEb/qSXy+ZtO1f06pI+x9XYz5xdNNSdrAreaO5QMkFbGMWW5eYggACSxcg4fUgMl4amdPDT/D62QPKwFVxff+0GjTwPzExiKrtTQOHwg0VJdBig4S6dS5PYjJvnqPzuvPmoKgODOjJHQ5OaZ89/J8mE1AObguBJQRIeD0Iih9+CtduPB40ORZVrNUsoT5l+GCtCvfJ57N6+gWGeKMWbAe0S+qQMnywVuXY+6qMu2MdJVoCPS9Mu1ssUxBAgBHeksVALufonIszNd4hqmQ3RMWeCOy5S9LdZrRcZfw3jmwnP0q0BLp0SmvjVuVLTB58LKtX3uBBKkpRVaeOdOPAtBKL7u8dpQbSFgQ8EGCE1wNEq2LobRmN/YxRE484A1GNrc5gqzSUq2Sz+Xm8GXLecnWB59ct5/zdqsZ8/JmjG28jqDzv3DJW2GbThM45vTzTZMrYbC6NQI0ESHhrxLXsg23ExEZOKNERKOf83SpFG+G1kV5KNARabZhQ13PLm5jMX5B/I+UQVtEIKklHHpLS3rszfzcyHUpDSiJAwusR66+zHXW9jFETjzjLXk0QEhND4EGq7KHg6Q0EJTEZdENG478l4/W0c8tYWf9eaa3WpHxvo8rYdC6NQMECJLwFU1V/IF/VV28UliNOOCqlnf9d/hGTub856tKT0biwxM3y7tOmVw65Iq0VVyh/YvL2qJzuup83UlGIqxbNE+p2XnnfGkTBkTZEX4CE18M+fuu9nEY8yB8RD0nLUlU6LV13ZVp1A7JjEes8lyUMPL9okNZJtWkNnbszP9zzTi5DhUF5OC9D07kkAjUSIOGtEdfyD+aPiIeYZaxq2y2TOuPE8q3OsHjTR3+c0/C7eJAqY0h4cmmLKYutoJRbRmT1wRhWawhKf9TmPoL2cF6bNnAOAn4JkPB6LM0fEY9By1Cd7VZko3FBKZmso/O6sexdUPqjNvdhy0ZdPyCtdCo4cfX5l46uvZnvDmrTn0E5J2gP50Fx4T4QWJoACa/HcfH1BMfdIYsSToFGq0iD+lQE7uZZOzVwXVKjG9p956SOOSI4bw2qbv6SvpWaMbNGTeHgAAlccFZam2wUnIeoANFwKwgsIUDCW4KguHxwRpN+5AvoEtCWvErbaMI2nAhamT3HUdfeGeV4Ax20rqn2fuxjtQG90mrSOHiJyevv5HTvw0yXqbYTA3jAmk2lvpcE7+E8gFTcEgKuAAlvCQLh408d3Xg7o7wloC1plfXrS1f3TatOneAlJtbwO+7L6t0PyHhLGgQlqHz7rZM67fjgje5aUzMZRxf2yuj3eSVoOFWWVKDjSWlt0zaYv6tK2nAqR6CWAiS8tYRb3mmO4+jSfhlNm1GCyqmyZAKH7J/SAe2CN7pb1eCfp+fjihIugT7d0lqrWXATk+dezumxZxjlDVNUrb6qdEWPtJLJ4MZVmDy513gIkPCWqJ9tJM5G5CjhEKhbR7r6irTqBWQpsmWp2ZawtjUsJRwCYdjydf58R116ZbRgQThMuUvpxP9Laad/BffhnD5CIIgCJLwl6pVsNj/ncs7cEl2Aaj0V2HfPpI44KJivnRdt6MQfcrriah6kPO38ElbW88K01lsn+KNwjz6d1fOvMF2mhKHgWdUrryQN7J1WKkArfnjWOCpCoIQCJLwlxH1vdE6330tyUkJiT6q2ubtX9UqrQYPgJybW4Jtuz2jMp4zyetL5Jaxky80T6nRqOHbA+uMPR92vYC5vCcPBs6pPPialHbZjdNczUCqKjQAJb4m7uv81GU2YSHJSYuaiqg/bTkVz5jrq1jejysqims3JJRSoqJD6XZpW41XC8RBlFGw3XMKA8Kjq5usn1P38cDxEedRkqkHAMwESXs8ol17Rz9McXTYgoyxvC0ssXbvq11tb6nlR+Jb2eeHVnB55ircHtev10p91+IEp7bdX+EbheEAvfWzU9gq2vN3ll6TVdI3wPETVtq2ch0ApBEh4S6G6WJ2WmFiCQgmWgP0B6X1xsL+gX5ZYLueoZ/+Mpk0Plil3I62xutS3WzjnWNoDusWVw0upwIXyPnsk1eHg4H9nEDg4bgiB/wmQ8PoQCgsXOurRL6NZs324GJcoWGDv3ZI68tDw/gH59vucBlzLKG/BHe7TgZd0TmnDDcI3ulvF89ATWb08kgd0n8KloMustGJ+85KgrhFeUCM4CIEyC5Dw+tQB33yX08Drs4yc+ORd3WVWWzU/uls3oJtMVHf/VT9ny+FCpfw5bq9dkzrqsPA+RJlSZaUj2y1yys/+mHGV6gUuPDul1i3D+xBVfQs5AoHSC5Dwlt74rys89UJOTz3PiJyP5Eu9VJ0KyZaLatY0/HPhbPm7/tdmNfEH3kGXO65sPvglF6SVjsByUdNmOOpzVUYL+TCy3GGlA/dJ6uD24X6IKjsiN4AAWwv7GwO2A9tV12X17fckJ/7K//NqHU9KaZu20Rkt+XW2o55XsnFAOWPKlrazebuNQrQqQ3Ve74zK6c77eUCvzqmUP99wg4QuPjfFjmqlRKbu2AgwwutzV9uSUrZqA3vX+wz/v8vZ+pW2jmXUyphPc7rpdpKTcvXr+WemtGnr6DxEVTkOvyuj0R/zgF6OuGrYQOp7SVorrxT+N1Hl8OOaCCwuQMJbhpj48uucrr6R5MRv+qZrSJd1TasiHc0/IA88mtWrb/Kxkd9xFfaPH5fntWBhfmrD9F/8VuV6zNslBhDwVoCE11vPgmt7/Z2s7n2Y5KRgsCIPXHGF/Lzdxo2imewaj83nvW54Vl+MZ0SuyHAp+PRNNkqoc8dov3Ke8YujK6/J6LffC2bhwCIFjv1PUrvtGL03UUWycDoCRQmQ8BbFV9zJfMRWnF+hZ9etK3d3orWaRTfZrbKwL+yvup6P2AqNjWKOW3/d/PzKiorox9Xkqfmkd8GCYsQ4txCBA/dN6uD9SHYLseIYBGoiQMJbE60SHHvPQ1m98S4jvSWgdatMpyV7NdgixOui1tTmjz8cDbiOZaVq6laT49dsKnU7L60GDaKf7Fa52LrPg4dmlcnURIpjayKw6w5JHXckyW5NzDgWgUIFSHgLlSrRcbZyw7A7sxrzCa+hvSa2ndTsdXMUPyaqzmrub/m1VNnspDqpmv+80Sr56TErrRifZLdKadxXOV17M+uJ1zxqqj9jqzYJnXlSSgn7xUVBAAHPBUh4PSeteYU29/KuB7J6bzRJb831ln5GOiV1OjWlzTeJ3pfzhRr9OsvRkJsy+pnthwslq/a41ZpIF52bVuMILT9WbaMXO+CTz3O6+a6sKlmjt6Z0yzx+67YJnXFCtOeCe4ZFRQjUUoCEt5ZwpTjtkaeyeuFVpjcUa1u/Xn5kN8zbuxZrUHW+TW8YMow5vV54rrdOQhecmVLDhozAfT8p58bVn396IRvvOtrtntR/DmEaQ7yjgNb7IUDC64dyDa7x2ptZ3f8oSW8NyP5xqO053/WctJquQVJSBbNwoaOht7F6Q21jys7buFVC554ejw/UCnWaOs3R4KEZzZlb6Bkct7jAsR2S2m0nkl0iAwE/BEh4/VCu4TU+GJPTbfdklSPvrZEcr5uXzWXTZiym2ESgRiHlHszr5mWb2bSZQUMzmsE6vTUKLJuma1MYttkyvlOuagTGwQh4IEDC6wFiKaqYMDG/cxajJ4Xpbr5JQqcdn1KD+ozsLk/s5ZE52dSZLA9T1QZWKikdflBK9sqZsmyBP/50dOvdWX32Bd8gFBInK68knXVKShuuT1wV4sUxCHglQMLrlWQJ6pn3h6Phd/Eqenm09nGazX/bYxf+eBQaghN/dDTsjoxm/lroGfE7rklj6cyT01p/HR6gCu39kW/l9NDjWWXYRHKZZLZRyRknptQwRsvZFRo/HIdAqQVIeEst7EH9L7+e0yNPMiq3OKVNYTj7tHhsKOFBGP2jivkL8lMcxn7GqNzitm03T+jU41KqV5dkt6ZxZxtUDL01oxkza3pmtI/nbUG0+5fWhUOAhDcc/aQfJ9uHR4zKVXXXNm0TOumYlOrWISkpJoRHvp3TQ48xKmeG7tuCQ1PaY2feFhQTUwsWOrrzvqw+HMvDlDna24KzT01rnbX4XVVMXHEuAsUKkPAWK+jj+QsXSs++nNWLr+Viu9vR6qtKRx6aVpvN+OPhVejZaNwDj2b06bj4JihbbJrQ/x2elr01oHgj8Mnnjh56PKPpMf2gzR6g2u2R1AHtUqpTxxtTakEAgdoLkPDW3q5sZ9rcy4eeyMRqd7Z6daUD9klp792SSrGKT0li78uvc7KtruOUoNgDlG3lunErRnVLEVTZrGRTsp5+MasFC0pxhWDWudUWCffB3EZ3KQggEAwBEt5g9EOt7mL8tznd99+spvxcq9NDcZIt37PjdkkddmBKtsYupbQCtnrDa2/m9NTzWf05v7TXKmftDepLB+2X0u47J2XzKymlFZj7m9zVQd79INrLg6zZVDqmQ0obtSCoShtR1I5AzQVIeGtuFqgzHEf6cGxOz7+c0w+To/NKOpmUtt86qf3bpdR09UCRx+Jm/vhTevXNnF55Pat5f0SnySs0lPbaNaU9d0mqfv3otCssLZnys6PnXs7J1hqP0jrjNj+3/V5Jd11de0inIIBA8ARIeIPXJ7W+o8+/tD8mWX09IbyJb0WFtNO/ktp3z5SaNKo1BSd6JLCwUnrjnZxeei2rWXM8qrQM1TRaRdpnj5R22SGpOhVluAEu+Q+BmbOk51/O6u1R4f4eoWXzhNrvnZKtA05BAIFgC5DwBrt/anV3309y9M6onEaNyYVmr/u1miX0r22S2nH7JFMXatXrpT9p1Ec5vf9hLlQbDGy2cUL/3jbpvi2gBE/ApjrY7yqLK1vSLAzF3gxsv1VSO2yfVPP1SHTD0GfcIwImQMIb4TiwD0Zs96P3P8xq7OdO4FZ2aNwoP21hh+1SarZGhDsiYk2zKQ5Vye93E4OXpFgSYg9P22+TVMMGEcOPcHOmTpPe/SDrxtavs4LV0HRaartZQttvk9IWmyT4cDZY3cPdIFCQAAlvQUzhP8iWNLOpDuPG5zTuK0dTyjCaYtMVWm2Y0CYbJWU7DrEuZfjjyra+HvdVTl+Md/TF+JxsxM7vYh8z2ioLm7ZOaNPWSdnWrZTwCth3CTbaa7+nLLa++c5RZaX/7bG3Tpu0TmiTVklt1DLBVBj/u4ArIuCpAAmvp5zhqcwSE1uGytbK/Gmqo5kzHS1Y6O39WyKy+moJtdggn4hs3IrXf94KB6822yDFkt+vvslp6jRHv5Rgx61Vm0jN1kiodUsenIIXAaW5oy+/zie/337naPovjucPVnXrSE2aJLTOmgnZmsz2AMWqMKXpS2pFoFwCJLzlkg/gdX+fJ82YaUmKI1vr9/d5jmxk2P6xZNh2ULL/biso2B+IOnUSqltX7shHvXrSyismtGqT//3TWLIRXQoC9oGSxZT98+tsaf58x12T1WJq4cL8g1ZlRqpILxJXdeTGlm3va1Nf3LhqnGBdU8LJFbAR319+/Tuu5vzmaP58yT6ytNiqiitbCcI2fbAdGfO/s/L/rNAwH0sWV6s1SchW76AggEC0BUh4o92/tA4BBBBAAAEEEIi9AAlv7EMAAAQQQAABBBBAINoCJLzR7l9ahwACCCCAAAIIxF6AhDf2IQAAAggggAACCCAQbQES3mj3L61DAAEEEEAAAQRiL0DCG/sQAAABBBBAAAEEEIi2AAlvtPuX1iGAAAIIIIAAArEXIOGNfQgAgAACCCCAAAIIRFuAhDfa/UvrEEAAAQQQQACB2AuQ8MY+BABAAAEEEEAAAQSiLUDCG+3+pXUIIIAAAggggEDsBUh4Yx8CACCAAAIIIIAAAtEWIOGNdv/SOgQQQAABBBBAIPYCJLyxDwEAEEAAAQQQQACBaAuQ8Ea7f2kdAggggAACCCAQewES3tiHAAAIIIAAAggggEC0BUh4o92/tA4BBBBAAAEEEIi9AAlv7EMAAAQQQAABBBBAINoCJLzR7l9ahwACCCCAAAIIxF6AhDf2IQAAAggggAACCCAQbQES3mj3L61DAAEEEEAAAQRiL0DCG/sQAAABBBBAAAEEEIi2AAlvtPuX1iGAAAIIIIAAArEXIOGNfQgAgAACCCCAAAIIRFuAhDfa/UvrEEAAAQQQQACB2AuQ8MY+BABAAAEEEEAAAQSiLUDCG+3+pXUIIIAAAggggEDsBUh4Yx8CACCAAAIIIIAAAtEWIOGNdv/SOgQQQAABBBBAIPYCJLyxDwEAEEAAAQQQQACBaAuQ8Ea7f2kdAggggAACCCAQewES3tiHAAAIIIAAAggggEC0BUh4o92/tA4BBBBAAAEEEIi9AAlv7EMAAAQQQAABBBBAINoCJLzR7l9ahwACCCCAAAIIxF6AhDf2IQAAAggggAACCCAQbQES3mj3L61DAAEEEEAAAQRiL0DCG/sQAAABBBBAAAEEEIi2AAlvtPuX1iGAAAIIIIAAArEXIOGNfQgAgAACCCCAAAIIRFuAhDfa/UvrEEAAAQQQQACB2AuQ8MY+BABAAAEEEEAAAQSiLUDCG+3+pXUIIIAAAggggEDsBUh4Yx8CACCAAAIIIIAAAtEWIOGNdv/SOgQQQAABBBBAIPYCJLyxDwEAEEAAAQQQQACBaAuQ8Ea7f2kdAggggAACCCAQewES3tiHAAAIIIAAAggggEC0BUh4o92/tA4BBBBAAAEEEIi9AAlv7EMAAAQQQAABBBBAINoCJLzR7l9ahwACCCCAAAIIxF6AhDf2IQAAAggggAACCCAQbQES3mj3L61DAAEEEEAAAQRiL0DCG/sQAAABBBBAAAEEEIi2AAlvtPuX1iGAAAIIIIAAArEXIOGNfQgAgAACCCCAAAIIRFuAhDfa/UvrEEAAAQQQQACB2AuQ8MY+BABAAAEEEEAAAQSiLUDCG+3+pXUIIIAAAggggEDsBUh4Yx8CACCAAAIIIIAAAtEWIOGNdv/SOgQQQAABBBBAIPYCJLyxDwEAEEAAAQQQQACBaAuQ8Ea7f2kdAggggAACCCAQewES3tiHAAAIIIAAAggggEC0BUh4o92/tA4BBBBAAAEEEIi9AAlv7EMAAAQQQAABBBBAINoCJLzR7l9ahwACCCCAAAIIxF6AhDf2IQAAAggggAACCCAQbQES3mj3L61DAAEEEEAAAQRiL0DCG/sQAAABBBBAAAEEEIi2AAlvtPuX1iGAAAIIIIAAArEXIOGNfQgAgAACCCCAAAIIRFuAhDfa/UvrEEAAAQQQQACB2AuQ8MY+BABAAAEEEEAAAQSiLUDCG+3+pXUIIIAAAggggEDsBUh4Yx8CACCAAAIIIIAAAtEWIOGNdv/SOgQQQAABBBBAIPYCJLyxDwEAEEAAAQQQQACBaAuQ8Ea7f2kdAggggAACCCAQewES3tiHAAAIIIAAAggggEC0BUh4o92/tA4BBBBAAAEEEIi9AAlv7EMAAAQQQAABBBBAINoCJLzR7l9ahwACCCCAAAIIxF6AhDf2IQAAAggggAACCCAQbQES3mj3L61DAAEEEEAAAQRiL0DCG/sQAAABBBBAAAEEEIi2AAlvtPuX1iGAAAIIIIAAArEXIOGNfQgAgAACCCCAAAIIRFuAhDfa/UvrEEAAAQQQQACB2AuQ8MY+BABAAAEEEEAAAQSiLUDCG+3+pXUIIIAAAggggEDsBUh4Yx8CACCAAAIIIIAAAtEWIOGNdv/SOgQQQAABBBBAIPYCJLyxDwEAEEAAAQQQQACBaAuQ8Ea7f2kdAggggAACCCAQewES3tiHAAAIIIAAAggggEC0BUh4o92/tA4BBBBAAAEEEIi9AAlv7EMAAAQQQAABBBBAINoCJLzR7l9ahwACCCCAAAIIxF6AhDf2IQAAAggggAACCCAQbQES3mj3L61DAAEEEEAAAQRiL0DCG/sQAAABBBBAAAEEEIi2AAlvtPuX1iGAAAIIIIAAArEXIOGNfQgAgAACCCCAAAIIRFuAhDfa/UvrEEAAAQQQQACB2AuQ8MY+BABAAAEEEEAAAQSiLUDCG+3+pXUIIIAAAggggEDsBUh4Yx8CACCAAAIIIIAAAtEWIOGNdv/SOgQQQAABBBBAIPYCJLyxDwEAEEAAAQQQQACBaAuQ8Ea7f2kdAggggAACCCAQewES3tiHAAAIIIAAAggggEC0BUh4o92/tA4BBBBAAAEEEIi9AAlv7EMAAAQQQAABBBBAINoCJLzR7l9ahwACCCCAAAIIxF6AhDf2IQAAAggggAACCCAQbQES3mj3L61DAAEEEEAAAQRiL0DCG/sQAAABBBBAAAEEEIi2AAlvtPuX1iGAAAIIIIAAArEXIOGNfQgAgAACCCCAAAIIRFuAhDfa/UvrEEAAAQQQQACB2AuQ8MY+BABAAAEEEEAAAQSiLUDCG+3+pXUIIIAAAggggEDsBUh4Yx8CACCAAAIIIIAAAtEWIOGNdv/SOgQQQAABBBBAIPYCJLyxDwEAEEAAAQQQQACBaAuQ8Ea7f2kdAggggAACCCAQewES3tiHAAAIIIAAAggggEC0BUh4o92/tA4BBBBAAAEEEIi9AAlv7EMAAAQQQAABBBBAINoCJLzR7l9ahwACCCCAAAIIxF6AhDf2IQAAAggggAACCCAQbQES3mj3L61DAAEEEEAAAQRiL0DCG/sQAAABBBBAAAEEEIi2AAlvtPuX1iGAAAIIIIAAArEXIOGNfQgAgAACCCCAAAIIRFuAhDfa/UvrEEAAAQQQQACB2AuQ8MY+BABAAAEEEEAAAQSiLUDCG+3+pXUIIIAAAggggEDsBUh4Yx8CACCAAAIIIIAAAtEWIOGNdv/SOgQQQAABBBBAIPYCJLyxDwEAEEAAAQQQQACBaAuQ8Ea7f2kdAggggAACCCAQewES3tiHAAAIIIAAAggggEC0BUh4o92/tA4BBBBAAAEEEIi9AAlv7EMAAAQQQAABBBBAINoCJLzR7l9ahwACCCCAAAIIxF6AhDf2IQAAAggggAACCCAQbQES3mj3L61DAAEEEEAAAQRiL0DCj3JAdQAAAhBJREFUG/sQAAABBBBAAAEEEIi2AAlvtPuX1iGAAAIIIIAAArEXIOGNfQgAgAACCCCAAAIIRFuAhDfa/UvrEEAAAQQQQACB2AuQ8MY+BABAAAEEEEAAAQSiLUDCG+3+pXUIIIAAAggggEDsBUh4Yx8CACCAAAIIIIAAAtEWIOGNdv/SOgQQQAABBBBAIPYCJLyxDwEAEEAAAQQQQACBaAuQ8Ea7f2kdAggggAACCCAQewES3tiHAAAIIIAAAggggEC0BUh4o92/tA4BBBBAAAEEEIi9AAlv7EMAAAQQQAABBBBAINoCJLzR7l9ahwACCCCAAAIIxF6AhDf2IQAAAggggAACCCAQbQES3mj3L61DAAEEEEAAAQRiL0DCG/sQAAABBBBAAAEEEIi2AAlvtPuX1iGAAAIIIIAAArEXIOGNfQgAgAACCCCAAAIIRFuAhDfa/UvrEEAAAQQQQACB2AuQ8MY+BABAAAEEEEAAAQSiLUDCG+3+pXUIIIAAAggggEDsBUh4Yx8CACCAAAIIIIAAAtEWIOGNdv/SOgQQQAABBBBAIPYCJLyxDwEAEEAAAQQQQACBaAuQ8Ea7f2kdAggggAACCCAQewES3tiHAAAIIIAAAggggEC0BUh4o92/tA4BBBBAAAEEEIi9AAlv7EMAAAQQQAABBBBAINoCJLzR7l9ahwACCCCAAAIIxF7g/wHR2mS3kPhoWwAAAABJRU5ErkJggg==" }, "metadata": {}, "output_type": "display_data" @@ -349,7 +350,7 @@ "outputs": [ { "data": { - "image/png": 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" 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" }, "metadata": {}, "output_type": "display_data" @@ -390,7 +391,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "24it [00:07, 3.35it/s]\n" + "24it [00:02, 11.47it/s]\n" ] } ], @@ -538,18 +539,18 @@ "" ], "text/plain": [ - " t_step time_stamp action_id susbtation episode nb_action\n", - "0 227 2012-01-02 20:55:00 act_227 sub_16 jan32_1 1.0\n", - "1 260 2012-01-02 23:40:00 act_260 sub_28 jan32_1 1.0\n", - "2 261 2012-01-02 23:45:00 act_261 sub_16 jan32_1 1.0\n", - "3 68 2012-01-19 07:40:00 act_331 sub_16 jan32_2 1.0\n", - "4 84 2012-01-19 09:00:00 act_347 sub_23 jan32_2 1.0\n", - ".. ... ... ... ... ... ...\n", - "518 175 2012-12-15 21:35:00 act_1343 sub_16 dec16_2 1.0\n", - "519 176 2012-12-15 21:40:00 act_423 sub_26 dec16_2 1.0\n", - "520 220 2012-12-16 01:20:00 act_1343 sub_16 dec16_2 1.0\n", - "521 222 2012-12-16 01:30:00 act_6592 sub_23 dec16_2 1.0\n", - "522 323 2012-12-16 09:55:00 act_1340 sub_12 dec16_2 1.0\n", + " t_step time_stamp action_id susbtation episode nb_action\n", + "0 227 2012-01-02 20:55:00 act_227 sub_16 jan32_1 1.0\n", + "1 260 2012-01-02 23:40:00 act_260 sub_28 jan32_1 1.0\n", + "2 261 2012-01-02 23:45:00 act_261 sub_16 jan32_1 1.0\n", + "3 68 2012-01-19 07:40:00 act_331 sub_16 jan32_2 1.0\n", + "4 84 2012-01-19 09:00:00 act_347 sub_23 jan32_2 1.0\n", + ".. ... ... ... ... ... ...\n", + "518 175 2012-12-15 21:35:00 act_1343 sub_16 dec16_2 1.0\n", + "519 176 2012-12-15 21:40:00 act_423 sub_26 dec16_2 1.0\n", + "520 220 2012-12-16 01:20:00 act_1343 sub_16 dec16_2 1.0\n", + "521 222 2012-12-16 01:30:00 act_6592 sub_23 dec16_2 1.0\n", + "522 323 2012-12-16 09:55:00 act_1340 sub_12 dec16_2 1.0\n", "\n", "[523 rows x 6 columns]" ] @@ -579,7 +580,7 @@ "outputs": [ { "data": { - "image/png": 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r+wgOCsDMBavw5L8/w/yJ76koaO7h7e8K9/NG8DKl4tPvp2D1hh04E58Ey7KU6E5OSVPpQhSn3syjIMFLrkyLoFDLPn76bZ6KznrEkTdcuQ7fT5yNAT3boUu7JqooNCw0+KK3qUfw5n52TJq2SEUe+RaAkfjCrgdPWtD1FEbwFvRM4dupYfe+hLDQEAy9vrNKeeGX9+xvAvISrt6sc0GCl6kg73w6/gKxzTcsA25/Vj1P+EWegpfCfO2sz3OsScdB/0S3Ds1UdFiGEBACQsBDwKcEryfnMK/XXcwJjq5QBp+99WiWOPPGjiu/ojUlSv/9GRYu34Alkz9U0cW8BC9ffWbPTfUIXk9klEJu4bL1SgBlHypiNGMxNsz5Ml/Bm/v6KXgpshg99LD4+LX/U7lxeY38itbyOg5ze7Vz+ZGeY7EgrHuHZnj/lQfzZZr9WJfza+mJ8FJo5DXKlSmFcmVL5XkdHhYFzYGvWRmlHP+Z4xDgGYzKMqJamAjvrQ+8ivVbdl9QDGlbNtymmSWMKMwKukd4LEapPc4Fec2fr/q7D30U/GLCfNYHn31fnTt7VD77ft7+rngjeJledMsD/8ah2BN44ZGRqF+rskpz+WPucvznk3FZgtebeRQkeHkMCumJX7yUAwPPxd9HTxqBN1x5AH5pZd4300LowMLc7KceuBmVovK2HPMI3uxRRx5nxvyVYGqOJzpZ2PXwTOZi11MYwVvQM4XnU24zv8zAwuUbVb0D027uGN5bpWpQ+OYWrt6uc0GClxZ3n//4O1ZN/zSH4wd/x/j2xPPmjYJ3+vwVWDb14wsFb/um+Nejoy7nkSL7CgEhUMQIXKOC9wR63/LEBUVrzH/89Pupqmgtr5QGT1QzL79a2pe1bVFfRVYL405wMcHLXGG+BqfAZE7hpQre3+csU8I2+6BQZLHTkikfXpLg9UTwLubd643g3brzAIbe86Iq5GEucu7BaGJkRMn/meAtyNEjrzl5OwcWaB0/cfqCSCrnz8JGj+DtOuRhtGvRIEfR2op123DnI29lFa3d//R72L0/Vn3Bymsw4sl72Bthxqjmnv2HMXf8uxd9PDEyfyY+Ae+/8k8wCjbm9YfzLFbjQbz9XfFG8HoKOHPfaxQ1FDeeCK838yhI8PLz3WTxyzs5WNDi8LUPxqq3Eiy+8oZr9gNQRC9fu1UVBvLLBSPIeeU9ewQv030a16uedYhfpsxXee0sHKxW2UlhKcx65F7YvK6HqTDePBf55bCgZ0ru81FMj/99oRK5nnXMLVy9XeeCBK/nc8994bkW2lYOuuO5rEJgEbxFTI3IdITAX0zgmhS88QnJaNv/H6o69+ZB3bIQ8Q8mK89zC15PpMDJ1XwA3Ts0V/lhnuF5VcYil5FDel4xwctCoTmL1qgIRLHQ4EsWvMy3++Wzf6lmFp7BP2yMWn793pOXJHj5B5Ms+OrvzWfvyTounS6Wrdmi8vu8EbwZGZloN+BBDOrdHs/889YctytfLTM6SWHgzbEu5173tmgtr+vwdg7MNx03eb76ksH15OAr3K6D/w9VK5XPErwsRmOe43svnXeV8Lym9bg0kDPzTSlSWSjpGYxiBQT4KRcDDm+EGd1IeKzszQ74O3LHI2+qoiOP4wfTCW5/+E3cP2ogps5amm+xGs/r7e+KN4KXkWxGXj989SF0becUEmW6Tdxwx3PgGw3m2zK315t5UNAyOuqJ4OZO5/HkRs8Y+5Z6Y+MZD//rI/UFkW9KDEMvkGvH1g3x54qNaN+iQQ5HBo/LB/Ol80oF8QheOkiwkM8zmM7wx5zlWPHHJyq6zVGY9UhKTi3weviGwpvnoif952LPFH7hSUxMueAL0XXDH0P7Vg3xwsMjsiK8nuert+vsEbTZI7jZgwHME2aBbe4vSJ60FK49c6hF8F7OE1P2FQK+R+CaFLxcJgq+kuFh+OT1h5VAmDxzibIiO3ridJbgpVDkw52V4XxAsjiIzgSfj/1dNYrgq3w6Crz+4U/qj+iUb19VQqOwEd7sjSd4bazAp/BmysEtN/TAM/+8Rd1ZlxLhVYUji9aoTmeP3DMEpUuGq45iFEwUqv16tLkkwcvrYRU+hRht0No2r6/SHZjnOGJIzxwuDRdLjeBxKDLGfDcZj9wzVDlfZGRmYsLvCzFuynz1+p/WWJcjeK+kS0N+1+HNHDyR4E5tGuG+kQNBocy3CsyfpQuIJ8JLcTN30Vr88NGzymps9cYd6tU9+XoEr8elgY0auK6Mgu/Ye0gVcTHv2pNq4I3g5b3bf+QziCpfBg+PHqzcC8Z8NwVbdx3A5K//nWUNx7ViDuT+mKNqzQsqyPTmd8UbwcvCvm5DH1ERzxcfHaU6stHVo3zZ0qro6K3n71UV9ckpqQXOg13MFi7bgM/fehQlS4SpArDsXQbp9NB/1DOqiPDpB25WLhhsVsF7nc4anjkXxJU5u9cNf1Q9N+4dMQBlSoertBXayCUkJqtc4LwGUw6efu0L9ay5f+RA1K9dBes371b5u/xdffnx81Z1hVkPFhF6cz3ePBe9eaZQlNKBhE4szF3mWEp7xA/Hqrdg/BKV+/lKezlv1nnmgpUXPJdzPxtpQcf79KXHb0etqhWxZecBvPzud6hXq3LWWxERvL4nWGTGQuByCFyzgpduBq+9/6PypaXgpHUOo4kUuJ7Oauzoc8/jb2PnvsPKa/erd55QVbxMNeDrOealsStU62Z1VV4YxQdHYQVv9tbC3J+iOTqqrCqsoKeqx/vzUgQv/8Bv23lAuSYwPWLfwSMoEV5MVd97bLryK1orSKgy5+6rn6dh4h9/4vjJ0ygbUVLZnHn8SgsjUrN72AYE+Kto9H0jB2QV/RXmWLlv6Cvpw3uxtS1oDrwu5oIymnrkWBzKRJTA3Tf3xZLVm3H4yMkswUsXAVaT0weW91ubZvVw5819VcFk9pxp3jcUYivWbkNKapryQaaQoNsB0xk4ChJmdMDg4Gv8dz79ReWa0veVVeyP3Tc8y1vaw5RR1M9/mIp5E/IuVsvO3pvfFW8EL7dZtGKjEv2Hjp5U0dzRt/ZDr84tVcSZBZB8O8Dc4oLmsWnbXjz8r4+RkJSMkUN6YfD1nS7w4WXU+N1Px2PVhu1IT89U+bY3DeqGmwaefxvkDVe+ov/vl5OUrRhFO3/vWjeth3/eeYPKB89reETguDEvKGs4ejQrV4aOzdUbqaBA/xy7FWY9vLkeb56L3jxTPB7dk2csUbm8vKfI8ZYbume1L8/r+erNOndt3/SC53LuZyN5v/fFRMxbvFYFEPgW5LpOLdQXNaZJcYjgvZw//bKvEPA9Ale14PW95ZAZX4sEWABGUeCJ8F6tc2AawY13Ol682W35rtbrLerXJetR1FdY5icEhMDVREAE79W0GnIt1ySBq13wno1PwpHjp1TqCQuv+DqeKRQy/h4Csh5/D3c5qxAQAr5NQASvb6+/zP4KELjaBe/4qQvw2gc/onLFcsoWjOk9Mv4+ArIefx97ObMQEAK+S0AEr++uvcxcCAgBISAEhIAQEAI+QUAEr08ss0xSCAgBISAEhIAQEAK+S0AEr++uvcxcCAgBISAEhIAQEAI+QUAEr08ss0xSCAgBISAEhIAQEAK+S0AEr++uvcxcCAgBISAEhIAQEAI+QUAEr08ss0xSCAgBISAEhIAQEAK+S0AEr++uvcxcCAgBISAEhIAQEAI+QUAEr08ss0xSCAgBISAEhIAQEAK+S0AEr++uvcxcCAgBISAEhIAQEAI+QUAEr08ss0xSCAgBISAEhIAQEAK+S0AEr++uvcxcCAgBISAEhIAQEAI+QUAEr08ss0xSCAgBISAEhIAQEAK+S0AEr++uvcxcCAgBISAEhIAQEAI+QUAEr08ss0xSCAgBISAEhIAQEAK+S0AEr++uvcxcCAgBISAEhIAQEAI+QUAEr08ss0xSCAgBISAEhIAQEAK+S0AEr++uvcxcCAgBISAEhIAQEAI+QUAEr08ss0xSCAgBISAEhIAQEAK+S0AEr++uvcxcCAgBISAEhIAQEAI+QUAEr08ss0xSCAgBISAEhIAQEAK+S0AEr++uvcxcCAgBISAEhIAQEAI+QUAEr08ss0xSCAgBISAEhIAQEAK+S0AEr++uvcxcCAgBISAEhIAQEAI+QUAEr08ss0xSCAgBISAEhIAQEAK+S0AEr++uvcxcCAgBISAEhIAQEAI+QUAEr08ss0xSCAgBISAEhIAQEAK+S0AEr++uvcxcCAgBISAEhIAQEAI+QUAEr08ss0xSCAgBISAEhIAQEAK+S0AEr++uvcxcCAgBISAEhIAQEAI+QUAEr08ss0xSCAgBISAEhIAQEAK+S0AEr++uvcxcCAgBISAEhIAQEAI+QUAEr08ss0xSCAgBISAEhIAQEAK+S0AEr++uvcxcCAgBISAEhIAQEAI+QUAEr08ss0xSCAgBISAEhIAQEAK+S0AEr++uvcxcCAgBISAEhIAQEAI+QUAEr08ss0xSCAgBISAEhIAQEAK+S0AEr++uvcxcCAgBISAEhIAQEAI+QUAEr08ss0xSCAgBISAEhIAQEAK+S0AEr++uvcxcCAgBISAEhIAQEAI+QUAEr08ss0xSCAgBISAEhIAQEAK+S0AEr++uvcxcCAgBISAEhIAQEAI+QUAEr08ss0xSCAgBISAEhIAQEAK+S0AEr++uvcxcCAgBISAEhIAQEAI+QUAEr08ss0xSCAgBISAEhIAQEAK+S0AEr++uvcxcCAgBISAEhIAQEAI+QUAEr08ss0xSCAgBISAEhIAQEAK+S0AEr++uvcxcCAgBISAEhIAQEAI+QUAEr08ss0xSCAiBK0YgMxO2OwOwbGiaBlvToPn7wwZgp6bANm3EW2Hqs+RUC+HFNJyMAyqU07D3gIla1Q3s2G2hZnUd+w5YiK6gY3+MhYrldSQkAcXDgLQ0IDAQ0DTA3w+Apv4HtxvQdRuGoUHXr9iM5EBCQAgIgSJPQARvkV9imaAQEAKFImDbQGYGbNNUilPz8wcsE1ZiApBwBmb8GVgJZ4HEePUzOykedmI87PRUdRr/fjdjr39DhIZoOHPGQlR5A7v3WmhYX8eKNSa6tDcwc56Jbh0NLFpuoXVzHavXmWjcQFfbVa6k48AhWwnk02dshAY7ajclxcbBGBvFimloUFdD3GkbvNTQUB0hQTYCAzUkJQMBAY4w5j+VWJYhBISAEBACEMErN4EQEAI+S8DOSIdSjYYBK2YfrNRkWKeOw06IPydkE2AlngXcmV4z8u8+EIdKtlZR2JNxFipHG9i01USbFgb+mGVi6EADC5aYaNfKwPLVJpo10rFlu4Wa1XTs2W+hUpSBw0cslCrJyK6O1FQLxYtpOBRr40y8jfgEG/17u/DnUhMn42yUKK6hVzcDE6a4UTxMUxHiZo0M7N5nKtFdLlKDbWvQNUA3AD+X11ORDYWAEBACRYaACN4is5QyESEgBPIlYNsq3QCWBS0wEHZKMtyH9sOK2Qsz9iCsuONXDJ5/ux44Et0dlm0jM5OC1MDBwybq1jKwYYuFti10zJxvomsHA/MXUfjq2LjZQr06OvbF2ChfFkhMBPz8NPj7A2fOWqhQXsfaDRb8/TQcPW5j2CADE383EeDnpDh0bu/ComVuTg8hwRrq1TawaZup/puCOCICKjocEqKhZAmgdAkNfv6OCDYMwCUi+IqtvxxICAiBq5OACN6rc13kqoSAELhMAnZqMphYqwUGwToSA3fMXlixB2HGxsBOT7nMo+e/u1+LjjhbrzcSUzSVdxscpCHurI3oCho2b7NUpHfKDBN9exiY86eJ9q0MbNxiolYNHUeO2ipCyxyG1HQLZUrr2LXbQpNGOhYts5CRCSQmAUP6Gxg70Y2SJTQEBjCiq2PeYgvhxYHSJXX1zx27LGRkAI0a6Dh5ysaZszb8/ChwNWzaamHUcIpipkIAJcOBShV1mJakQfxlN4YcWAgIgYGSYcgAACAASURBVL+VgAjevxW/nFwICIErRUClJ7DKKyPjfPT2yEFYx2Ov1Cm8Oo5fw1ZIbHI9jp1xKTEZ6OcI3srRGnbtsdG0kRPhZQ7v4mUmWjQ1sGOPicpROk6ethEUoKn9jp+wUK2KjjUbLHRup+OP2YzwOhkYHdsaWL3eUoVrLsNGpYoaVq1jMRvQsJ6OU3E29h+0VOFcr66OGGY+cHIKUK2yhpjDNkaPdOGLH9yIKKWhTGlNid3UVBtdOhgqbYI/S093coNlCAEhIASudQIieK/1FZTrFwI+TMBmcVl6GpCchIxl82DFHoCVnPi3EnHVaYz0tjdib6wL4cU1GC4Nx0/YqFFNw/qNNjq107F4uYnWLQys3+REdmOP2irNIDUNyHTbCA/TcPCwjYZ1dSxcaqFHFx2/zzSVCE1Kpmg28NNEt4rktmpmIDPTwp79UEJ1YB+XiiSfTXCK2q7vaeDTb9zqPBTICYm2KmqjiJ48w0RUOacArkQ4o8UaqlfRsGUHxTJUDnBIMJSjBMU29+fPZQgBISAErjUCInivtRWT6xUCvkyACs6dATsjE+6t65C5cSUQXAxBfYcg+bM3rwoyRrU6yOwyHJv3BCCqvI6MTFuJzCrROpavttC7u45f/zDR7zodC5dYaNHMcXGILKPBbUIJWqY/MLLLKPC8P010bGfg8+/cKBEOVInWUKWSjsnTnRzdYQNdOHLMxIlTQEqqI3DHT3Yr8Vw+UlM5wmMnmqooztChrodOD2VKaTh8xEZCko19B2iqBgzobSjxvWkbbdI0FAvVsG2XhcH9DGzZaavwcv06OkJDnfxi5gDLEAJCQAhcCwRE8F4LqyTXKAR8nQAjuW433Ns3InPDSlgnj+QgEvrY60j+4CXYGWl/Oyk9qiq0fiOxaksAqlXRVM5teoatxO/qdRau66Jj/BQTA/vomL/IUhHavfstlCrF9ATg6DEb9es6+b0De1O8Uhwb+Pont5pbt046XDqwP8ZWfr1dO+hYuc5EWjqzOTT0vc6J/jK9oXYNDZUqGli2ykRICI2CgQMxNvr00HEgBkrcJqU4AnvHbhv33eFS+1J8M61i/0Eb6enAnbe68MnXbtSrTf9fRqwtlC+roXo1HeXKOpHp4KC/Hb1cgBAQAkIgXwIieOXmEAJC4OokkJGuXsm7d25yRO7RmHyvM3DwHbAPH0D6ivl/+1z0shVg3Dgai9f5K7eEU3FOLm3ZCGDdJgvdO+mYOMXC9b0N/LnMsSWj5VhoMFCsmI5dey20aa7j91kW+vfSMWOuiQ5tDSxZTl9goG4tDfEJwImTNtIznIjuL5PdtApGVHkNjerp+GGCqTj06KwrhvT7rVxRQ1CQpqLJI4e7MGmqGwGBGs7G20hJAUqW1NSxeL6UVFsJ9ZrVNCWSWfj2y2+0OWNxm6ZSNRISoVIn6tfRVN4wU6jLRABu0ymkkyEEhIAQuJoIiOC9mlZDrkUI+DgBVXim6zB3b0XGuhWwDu/ziohfgxbwa9QCKT9+4tX2f+VGenhp+N32EOYtd6FpQx2xx2yVG0tHhc3b2HhCx6TfLfTtaWDpchON6hs4fsqEoesoE6Fh3UYT3TsZmPSHib7ddSxdaaFRfV2JVhaWdWqrY8cuG4nJThoCPXiZo8vRrqWOsmWcBhfM572+lwtbt5vKyozFZ5puIz4eGH6DC1/+4FbNLpibe/CQjciyGipFaZiz0ESNajrS0mzl89umuYFTp22sWmcp8cyIbsUKGlautdQ5hw1yYcs2Czv2WChdEogso6NRfQ1BgbQ+k7SHv/Jek2MLASHgPQERvN6zki2FgBD4Cwiw6IwWYtbJo8hctwLmgV2FPosWEoaQ0Y8j6b3nC73vld5BY07xPU9h+gIdbVqwbbCNsGLMhwW277TQqZ2B3/4w0buHk9Nbv46hLMOY9sAo7JIVNvpeR1Fsqgjtpq10YQDWb7ZVhLVFEwNz/7Rg6DZCQ4GWTQz8Ptutuqx1aWcgLd3G9t1O0Vn/ngYmT7cQFOQUnNGjl84LTRrqmD7HiRhXiHTSGQb1MXDgkKWixkxjYBSXvsH3jHThu3Fu1fmNOb1rNzruEMwfpuXaiGE6Pv3WVO4TLIZjAdzps469Wv3aOipFseubLl6/V/pGk+MJASFQKAIieAuFSzYWAkLgShGwlZuChoylc5G5ftllHzb47ieQPncqzP07LvtYl3UAP3+EPPQSJs8EOrc3sHO3hYhSQFCQk67QvrWOKdNM9OpuYOVaE7WrG0hOdQrbalXXMX+xhd7ddMya73Rn2x9jKcG8ZoOp/tmrq6EEKC3GalXXVJSWrg9sJdy8sYFtOy2V8kBR2qeHE/1lVDaitKb8eOvUoNUC83ctledLBwn6+44Y5sJXP7pRupSTkmDZjvBlCsZ340yVtrB7n6WcI1jUlpoKNGmgo1K0hsnTnM/p78toNNMrNm+3ULu6piLY/PcWTZyUCml3fFl3l+wsBITAJRIQwXuJ4GQ3ISAELoEAO56lsIorHRmLZyFzx8ZLOEjeu/h37gO9WHGk/f7zFTvmpR4o9Mm3MGGKiZ5dHbFXvpwGf0PDvoNsPOFYjPXoYqjuadWr6sjIsHD8pCMgp881leBdstJCvdq6SkFIy7BV4wk2jhg9woWPv3JSGCgiy0YYWLrKjQB/Df166pg510LZMhosy3FU+GG8k8/LERQIDB5gYMVqG6fPWIhPhHJxYIpE7x4GZs938nSPqDQMoHZNQ9mSUXxzXxansSsbc3u37bRxyxADq9baOH7ScZnYtddWkWCK6w2bLQy/wcD6zZYSzixqizsNNG2kKccKCnL+X4YQEAJC4H9BQATv/4KynEMI+DoB0wTzc624k8hcMhvug7uvOBE9qgqC+g5D8mdvFPrY02JOYOnxs6gYGoi7akXh0+2HEObvwsgaFQp9LO4Q8sirmDxLV6J2/SZLpSQwrBoTa6N1M0fwdu+sY8MWG9FRUPm7B2IstFbFaiau62yoAjcWiHEcirWwdiPbFGu4sb+h8m85enbRkZxiIzWNhWw2enYz8PGXbpU+Qd9dFrEx+uoZ/O8b+hn44HNnf8/o2EZDiXADC5c6kWPm8jLqSweIBUtsJZ5paXboiK2cJFx+dJTQMHyQjs+/N1WuMtMYGElmnu+KNZayULuhnxM1ppBnPjCPQX9hit9mjXXUqKohIECDn7Q2vqT7THYSAkLAewIieL1nJVsKASFQSAK2OxMwTbhj9iBz6by/vOtZyGOvIeWjV2CnpXp9pYeSUvHKhr24qVp5bDmdiPLBAehevhTe2XIAo2pUQNWwYK+P5dkw6MGXMO1Pf3Tv7KQt1KxmwO22Vevg5k00TJtDtwYDG7c60d9Afw07dpkqBYL5vd06GSr9ITzMyaWl+N25x0ZUBQ1d2p2P2noKxnbvt1QubtcOBr4a64jZ3t0NlSaRnOzYonHQuow5xN/+5FY5vhSnHLcMZiTaVikJHEx1YGrDgN46Pv/OVF3imJ/LwraS4Zpyl2hUV1f/PXUmi9w0HI6lMAbq1dGxbqOFzu3p+6th3iJTzeNsAlRTC6ZebN1hq45vtGTbucdCi6YU9pLuUOgbTXYQAkLAawIieL1GJRsKASHgNQG6LRgGMjevReby+bASzni96+VsGDT4dlhHYpC+bJ7Xh4lJSsWk/cfxcIPKyLQsvLhuD15tXhOzD5+CZdvoVTHC62N5Ngy89znMWRWCrp0MlV/L1ITUNFs1h2jaQMPMeRa6dDSwdbuFMqXZyMGx+KJIZDFZ2xYGjh5nYwmnyQRTDej2QF9d5sjSIozjrttcmDLdjZNxTj4vI6njzn1221BDpUVQ9DKlgD685csaqFwJWLrCVG2LGZU9c8ZWTgtjvnarxheeQTeIiFI6fp3mFKzRvoxWZRSte/bbytps4RITmW6oz9nAIkllq9g4dRr4x51O62IKWza24DZxZ5ir7Ajtm280VHMNpkFwMP2iZVMdfn62Ss+QIQSEgBC4kgRE8F5JmnIsIeDrBNJTAb8AZK5ciIzl88HWv//L4Ve/OfyatEbKDx95fVrbtvHahn0YVjUS1YuH4Pm1u3FfnWh8u+swOkSWQIfIkl4fy7Nh0J1PYN6WEuja3sD8RbQe05WLAvNmGzc0MHOeqSKtjOqWCNdRsgSU+0GX9gYWqO0NlapAOzCK2B8nuJXYbN5YR2Qk8MdMJxL7z9GurPQEeveGh2vKR5fjwbudZhG0EKN8pFMDc2cpOhnJZS4uhWexEE21LmbnNlqJHTthqwjv0IG8PltZobGwjf6/Z+KhcnNLldQwsI+h0hVYNMefNa7v5OUyGu0Uq+n4ZbKJjm11xB6xVXSZ4pf2auwARwcKFsMxN5hCl/uSET2A27Uy1H9LgVuhbz3ZQQgIgXwIiOCVW0MICIHLJ5CeBistFeaOzUhf+MflH+8Sj6AFhyJ49BNI/u8LhTpCbHIaXlq/BwGGgROp6Wpfit17aleE3yVUVgXc9hCW7ItEp7aGKvhq0UTHmbNQUVC6GfBnHdvo2LPPVkVh5SJ1rFxjKXG4fLWJ6tUM6Jqtop+MtH74hZOmQA9fNrGYv5iODY4H7hffO59d38tQwpR+uUw7GNRPx1c/mqhSSUOJ4k7+bf9eLvwxyylMo7CNjqLVmI4ypW3MXmCp1AQOdmNjdzXm+tapqSk7M0Z/TbovbLOU329YmCOumWfMgjWem4Kb4vemG5iDbCtXB+by0n2CQrheLV0Je4rlmMO2+hmFNBtvUNCXKgk0qKNj4VKnoUX71oYS5QH+hVpO2VgICAEhcAEBEbxyUwgBIXDpBJjYqevIWDIb5tFYBHbrh+Sv3rn0412BPYPvehzpC6fB3LPN66N9vuMQkjJNtI8MR4XgQJQLDoDOJNdLHAFD78GqE1XQtqWOaXNMp3lDnKWitg3YNnihhXatNNXel6/wK1XUsXiFiQ6tDWzcYqniL/rYUhB2bHu+scSA3oZqB8xUABagMWf3+18cwTtimIE/l1qqKIzClR3cxv1qKsGakQEkJtm48XoXxnzjRtnSGiLLAifibHRoZWDrTku1KWZRHQvWuKztWusYe65jG4vKGOnldfH8FMPTZjuimznGFKymaSPuDFS+7oA+Br4ea6oiPO57/CQL65x/hgRpGNxfxxc/mCrK7O8PtG/F4j5TpWZwHxa9cdCPmOugcohNSHHbJd6PspsQEAKACF65C4SAECg8AVYnZaTDvWcb0mb+CpiZ6hjBI/+JjDVL4N66rvDHzLYHo6xzY+PQu2IESgT4FepY/p36QC8ejrSpP3m935YzLFYLhJ+uYc3JeMSmpKt/b1e2BKJCAr0+jmdD/4EjsCmlLho30DB7oeO+cPyEUzzGKOe8P020bmHgcKwFVo9Vq6Ip27E2LTXs2WsjOERDxXJQObgd2px3ZaAN2Mq1Nvbso2WZhjo1dUyc6qQwPHCXC59950ZmpmM1FhqiqUgyA9Q8vukG2rY0VHoEc4H5+eEjNoYMMPDRl24EBjr5ucyxrVFFh9tkAwsnlYG5uRS6zANOSIBqmvHtT6ZKfeA1ULjSvYFCnGkcmg5VrMZUhROnbMf/t5aONest5SOcksp2x6a6TuYGsyCPTSqKFYO6pv0HbZQuqaF/bwpnR9Az+s1tdEO6txX6hpQdhIAQEMEr94AQEAKFI2AnJ8E6cwrpMybAOn0yx856hcoI7DsUKZ+/VbiDAvj1wHGsOHEW9cJDMLRqOYzfdxRbziThzZa1ChVtVdfQbzhSCmlPto3n2rQf0aGBqFosCLSIXXUyHo81rIoqxYIKNZ+A3kOx3WiqrMFY2EU3AgpGRkFr19RVnm6r5jqOHofy4K1by1ACsXVzQ3ng0tGBonTeYktFhz1R3LtHuPDrHxbiTjNCTI9cJxWBDSmYRkDByzGor6FsztidzTO4Pe3KmD9MWzAWraUk2yqS+/0vLKzTEFFKU22G6SAxZaaFk6cstQ9za2k9RqHNnF0/P6cFMUepEo4F2rJVTlSWwvvTb90qSuxxguBcmA7BCPKdtzi5xeHFoXJ52fJ43wELZ+NzIqZ92t79FjZutVV+8M69FpiNTB9jj9tDoRZFNhYCQsCnCUiE16eXXyYvBLwnYKckA+5MpM2cBHP/znx3DBp+D9y7tyJz7RKvD74+LgFf7jyMEdXLY0NcAiKDAzCgUll8vfMwGpYqhuali3t9LG4Y8uirSPnkNdWy2Nvx3NrdGFy5LBqXCsvaZd2pBKw9FY+7aysjXa+Hf5e+2FeyI6IraFi6ykSrpgYOHmK7Xw01q2tK8LZsruPECRvJqUCjejrmLjTRoqmhIp6nTlto2dRQObIsVPv5V0dcZi9S63edgROnLKxa56QhMPXhh/GO4L3rNgNTplvK+9YzhgzQsX2njS07zv+MkWcWzE2f4+TaVq3EXGNbpUp8+WNOr14KX+bZstUwm2pERKjbQbVOZuEZWxJTiLIT26/TTFWAR2s1CmgemznMTNlglJiim22UKYCZo9uto4ENW0ycinOuNqqchq4dHSHOYzeoq2P7Lkt9caCXL8Uv2yjT4owpETKEgBAQAgUREMFbECH5XAj4OgE2jQCQMetXZG5eXSANPaIcgobcgeRPXi1wW88Gm08nYsnxM8odgU0OnlmzC680q4EJB44jxKUr8VuYEXjDSNjHYpG+bK7Xuz2ycgfebFEzR5HaqpNnVZT3gbqVvD4ON/Rr3RWxlXuiNN0XNllo0djAngOWch1gZPXPpSxkM5QLQ3y8rZowzFlgKgcH2nodPmIpobt0JQvJDEz63a1SEG4ZouOzbx3xe8sQF1autZyoa30dVStpSmiywOvOWw188nU2jzEA99/hwjc/uVUurWcMG2Rg01ZbiUnPYO5vhXLA1HNOENknzs9oscaIM4vVmBdM54cS4Rrm/mk6xWobLezc6zShYISXRXNMk2Cxm8c5gikQbKLBwjkOilhGjlnQxnHzYBdWrzOxe58jlskq022rHGUK7+goXR2vYT0NTRvpqqiOx5AhBISAEMiPgAheuTeEgBDIlwAbOFhHDyF10ncqTzc+IxOf7TiEXhVKo2G2SGjuAwTdMArmsVhkLJvjFV1ag7H5Q7fypdCgRDH8tPcI9iSk4ERaBt5sUUsVkRVmuOo3g1+TNkgthD3Zd7tjkZDhxpAqkSrCTA/eUYs24+lGVVEnPLQwp4dfs3aIq9MHAcEubNnuCF6KwKAAG1Wr6Fi0zESzxoaKpp46xcYLBhYsMVG7hpMusGMXBa+mGlPQC5eFb2UjNNX+l00jOO4d5cK4X92qoUOPTo4gpLtBdssvz0WXPNf1LHvUlmKU6QceB4i8RDCFKVMTOIKDnfOcibewaNn5KDE/Y2SXc1FWZWNzCm0W19EKrU4NHdEVnc5vjNqy7fKZeFu5O7CYjRFgDqchhY6fJpnKtSGqvK78iimcme5BuzMKdG7ftoWuUiOYp1y+nK7aIcsQAkJACORFQASv3BdCQAhcSIAVTpqOtCljkbFzE6YcPIGDSam4sXJZJLtNTDpwXHUhq5BPQZdevBSCRjyA5A9f8pquadkYsyMG846cRplAf/SoUAo9o0qj2CX0ndWCQhFy71NIeu85r8+fbpoYt+8YKoYEomv5Umq/02kZOJ2eicrFguAqhD0Z/YATmw2A5QrA7r2Wyn/dtstW0Um+yqcjQ9OGBuITLJw4CTRtrGP5KqeVcPFiGjZsdT5nGgRf+S9YYikhyBzfsRPdyq1g9CiXaiPMwUjtlm22cltoWFdD9aqayvX1jLo1NdSvq2P85PNilP68nbN1beO2fn7A6BEufPyV46/LXN9tO5mKQcswxzv3+3Gmaj+cfVBo0leYBXO0TMs9KLiHDHBSIdjsgoNpCvsP0uLMQHyineXMcPvNBmbPt1T0t2UzXTWtYA4wo8TMS6apMMUurdUY5f7sW4cBubK7HK+VQl2GEBACQiA7ARG8cj8IASGQgwCjuszR9bgczDx8CqtPnsV1FUpj1uFTeLBeJRxJScPqkwkYVbNCvvQC+w5XObTp83/3mvCIPzfh/jrRaFm6OE6mZ6h0gvgMN5qUCkO9EoWLsgbf9RjSF86AuWer1+f3bJjmNnE4OQ2HUtIx5cBxVAsLRtPSYcq1wZvhqtkAGR2GIMkdiJjDTqHX5q2WikbSgmzJCqcZBd0KWMzWtCHbB9soo+zCNOWly9f1zOely8GqtbbK861GIfu7qQrFBvZ1qcYPHKNHujBpqqkiqT06G8oNgq4PnnFdFwNp6Tl/RoeEYqHs+nZeoGa3MysbASVgS5RwXBroF9y2lYEfz+UJZ+dQo6qGXt2MC7q1cRtGcyn4K0bRJs2tRDQHG1F0bmeo9A1PtzU6QrDjGoU5RTQL7Th/FvGxqI18GPXmoLvEzt0WNm1zBDQj0LRW4zErRkF9cZAhBISAEPAQEMEr94IQEAIOAVYgmSZSf/0OZszeLCpzDp9SUd2BlcviaEo6xu49gnTTUqkH/SuVyZeeirLe9xSS3vU+yjon9hS6liuFn/YdxfRDJ9GkVDFULxaMlSfjcUPlsmhVJtzr1Qro2AtaidJIm/Kj1/vQGWL+0dM4kZqB0oF+KtqbYdmoEByAvhUjUDHUO7cGo3JNmNfdgrikQNVOuFF9Des2msoFga/ol602VYOFDLfmCOJ6GrbtdOzIqlWiHRntyzTQl2DrdhNbd7D7mI7QYGDWAgtVojVlMcZoL/OC2WKYzgccNw82lP2XR0TyZyPp0bvMwoFD51MRcrf25XZ9ezhpFstWO7ZnPC8jsUzL6NlVV0VrtB6jqFy5xkRCkgq4Ksswzm38FMeKjI0rKFQ52PKYKQqLl9s4cIj76tiwxVLpG8nJdpZg5bb3jjIw7lcLZxNsRJRyGl1ERGhgw76MTMf1gZ6/NavpaNZIyyrmYwSYzS+WrrKUVRrznQf1cdJDJNrr9e0vGwqBIk1ABG+RXl6ZnBDwjoCdngY74SxSvn73gh08qQYlA/zhtizMPxKH/tFlMKhyWeU6cLER0GMQND8X0qZP8O5CAFD0MpL8ZKOqiAh0SvDPpGcqy7A3WtT0+jh6+UoIvP6mQtmT3bxgI55rXE3ZkAXRWBZQucTMXW5WCKcInlvvfwdiTwciIZGi0Ynalos0UK4sVFc1Ckq3peHAQRMN6hnYf4CRS039/M9lJmpU0xEShKxmEnxdz2OxkK1RPQ1VK+v4bZqT29unu45vfnYitf+404n8MoLKQQF43+0u5bXrGXn9jJ9xux8mmEhKspVQLV3KaVqxer1TcDbma7dqABFVnhFfTRWrsVHGjdc7/sDsrFa2DJT4pehkfi5bGrPY7YfxpkrFYIEeUyJ27WE3NV0JWIpjRoHZ+Y0tjrk9c4fpwLA/ho04dGRkOH69HLkL8Ciimb9M4e3vp6nCvZnzTXRtr6ucaenU5vWvjWwoBIosARG8RXZpZWJCwBsCNmjBkPrzZ3BVrgmtdBmk/fZ9njt+tj0Gx1IzcF+disq1YfbhU0jINNG9QinUKh6S98kMP4Q8/BKS337Gm4tR23y8LQbNS4fliOYeTkrFW5sP4IM2dbw+DjcMefjfyhPYTk7Idz8WzCVmmgjzd2HC/mMqT/lyuqzxRHrpSLiG3Y+9RwLgzrRRtw5zdE1UrGCAqQKr1pmoW0uHDQ179pnKyuvIMSApxWk9vGqthcgIDeXLaZgwxcLpsxaGDnA6ojHqynbDdCWYv8RC7eoaGjcwMO43t3qNz3zez8+1G+a1VCinKV/d78adF7zMFWZDi+zpCXRVYCHZtz/TEcJpB3z0uK26w1H4tmrqFJKxicWpOFs1mqBwZgc21VntRycNgQ0m1m9yOsF5Glvs2GVj83YnFYG5yE0aOq2USynfX6cALbugpk0ZfYmZJhF7xEZYGJTQ56BlmqbZmLfofMoG0z0smxFhW0XKKdYpmPceYBc7Df17OV9eLqN5XqHuO9lYCAiBq4+ACN6rb03kioTA/4SAnZEOO+4EUr7/MOt8Tt7r9Dzb8n67K1aJ2wOJqfhy5yH0jS6DOuEhmLD/OEbXisq3gC2gU2/o4aWQ6mVqwbwjcdiXkJLD+3bGoZMIdBnoUq5kodgE3TAS1omjSF8yO9/90kwT/9m0H883qV6oY19sYz2sBAJufwRb9/rBZWioUwtYssJCdEVdtfVdvd5UzRpYB7d7r62iunGnbZw+q6FBHU0J28AATRVrsYCMje1G3eRSXr2Hj9oY2NcpaFu/yVZOBWxDPGOeU9jmcTjwXF/zxoYSzlNnnBe87VuzIE3D7AXn83fbtWSnMyenl+2IM93Mv9WUg0LrZroqImOUmi4QPF56OlQHNebdUrgvWGyqaC5TNbbssFS3Nroq9Oul45tczg0sjqNHMVMkGN1lC2Y1h7mOiI0ozWM7+b/0923RRFcWbLlzl2tW09T1MAJNoc1CPH5ZoChn5Dn+3Pecwf1dKvWDOdSS4nDFbnM5kBC4pgiI4L2mlksuVghcGQJMYXCvXoz0pTltw7TQ4gi+42Ekf/DiBSdiJJQFZE+s3okXm1RH+XMODUuPn1G5vYOrROZ7caGPv+Hk8tL9oYBBOzCmL2w5nYjXmtdApWLBWXu8vWk/OkSWQHiAX/5R5WzHd9VtCr/m7ZCaTdTndfpn1+zCq829T5coaA5aYDAC73sWG7a7lDMDi7qWrmSzBV1FNdduMFGzuq5e8e9Q7Xt1JKUAR46aqFvbKeRKS6UQpp+uw4ypCmyzSx/dEcNdqoNbzGEbA3obKhJLMcoobERpDX/MPi9kaRV2KNbC2o3n83dvHWJg+WpLRUA9Y8QwFxYvt1QKAZtRMFXCk7Jwxy2OfZmnCQTtxJh/y6g0rc0818gUhbg4Swln5vEysswmGivW5LQx85yTEWEK0JHDDXz8VR7uDiWcphycG9Mg2FqZBXxMnShTGuoLBJ0eZI3bMwAAIABJREFUGtd3IsKOR6/j7xt32jkLPYorVwImT3O8jZs30VTagwwhIAR8i4AIXt9ab5mtrxNgEwnLQurYT2Adj82Thl/z9vCrURcpP39+wef7E1Mw9eAJPFS/ctZn3+06jHoli6FGWDBCXEae9l3+rbvAqFgFqRO+9noF4tMzEexnwKVp2BCXiFmxdIuIR50SoRhZvTxq5JdGke0MFJ7B9z2N5Peev+h5X12/Fw83qIzgc3m7Xl9kfhvqBkIfew3L19goW0ZDdAWoCCUdGigmN2y2UZ25pQF8BQ8VyWVE9cBBC7VraTh7FqpLWp2aOr784Vxh2ggXPvnqvPj15OlSLC5cYuHgYRv9ezESy5SJ86/76eAw8VxaBC83t6UZf8Z8W4pgtgTOPpiyUKPK+ZQJRm+ZdkHhS4cJRonr19YxfopbpRGkpEBFWTmX7bvsPI+Z/fgUo0yXsEymZ1woeLNvy7QPdqmbONXZjtFdplPs3W+rQjjm8Iafa5JHb2IONre4sb+hGHpG6ZLA0IEuifRe9k0uBxAC1xYBEbzX1nrJ1QqBSyZAizDz+BGk/fJFgccIvvUBZGxeDffGlTm2ZZT3+XV7VOMJetNGhQQi07SQ6Dbx5KqdKg/2mUZVUepcsVn2nUMefgUpX7wNOym+wPNzA/riTj/EAraTqjiuR/lSqBUeqormaI3m7Qi581GkL5oF9+4t+e5C0d66TLg6/pUaIY+/gWWrgYpRGsqVcdIYKlc0UKIEsH6TiepVDJUCwKYKtBuj1mZzCjoQ0IbrYIyt0h6YU1syXMOg6w189YMTZWV6w5hvHBGXPfeVkdhZ80zEHnMiqsqrdrALn313XvCxgUPbFo7Dg2fUr8P0CT1LTGZncGM/Q0WC6awQVgzKDYEilZ3Oru9lYPU6J+JKIRlZVkdSsq3szJgD7Mm1ZdSV0dzszhGBgVCCvmUTPcf15eZP0U2x26GNjg8+d66ZxWx8WUArMqZFMEWDOcHM75232MxqlkEe02dbOHby/BcAnpf2ZSy0o80Z0ytkCAEhUPQJiOAt+mssMxQCsNNSkDF/mmoNzGYKHCXzEKVZqPz8EfLQi3kWm9ExYWrMCVQIDlQ5vQuOnsbYPUdQs3gwKoUGYVjVcnkS92vSFq7aDZH686dercjXOw9jR3wybqpaDo1LFctyhGDKQ2GKygI69IReqgxSJ/+Q73mZN8zBTm9XarBgbvlGA5WjDNUxbN1mU0V4GXXcuNlE5UoGioXaqrVvtcq6I353WCry6+dnY8cutiGGKhRTTSLa6/jhl3OuDD0M1SY4rJiG4eeK1PJyXmAHtJZNDfw06by4ZYMIP8PG3GxFX0x7iIm1VVvg7EO1Kabl2bnIsucz5h6zmcSA3i58Nfb8sVkUxuI3ujPcf+f5Lm5sD8xGGimptrI443ErlNdRsTwQd0bD8tWmyj9moRvt07IPFvFx/mzBvORc4drNN7qwZ7+lLNKY30z/YAp2Xj99jdVadtRhWZrqYMfBa7uus6HEckKS06aY6RLMHxbRe6XuejmOELh6CYjgvXrXRq5MCFwZAqYbqeO+gHl4vzrelzsPY8uZJHQrXxLXR+fvo+uq11S1yM0v/5V5ux9uPQg/XVMFZoz2nkhNR5mg/Pu7hjz4AtJ4LSePFjg3RnZPpWXilurlC9z2Yhvo5aIRPPAWJI15Pd/NdscnY+nxsxdtpFHYiwh64AWs3hGsPHPZ4GHTNifCy+KsjVtMVIrWEV5Mw+atJqLOCeFNW1jY5uTObthsIjrKibqyiIx+uGzIwHxgWnuN+5XH01R088cJ54TwdQa+ySZAHZsuYO6f50XkbUMNLFlhq1xdz2CUmHm49L3NPlTkt6aBiVMuzL2moOT2TCXIPVg4p3KJZ5mqMI8FcXRpoDhl5HfHbguBgY57gqd5BiPXzGV28oa5n6aixRSlFLTfjTt/cTw+m2zUrq7j9BkbGzZbqFzJ8TLmUD7FrXSMnXB+H6ZA8FMWCfbsYmDhMlMV3lUop2NQX6eAUIYQEAJFl4AI3qK7tjIzXyfAfN3MDKR8+gbWHzmu2uaWDvDD6NpRql3v6xv3YUiVyIvmwgYNuQNWbAzSl829gOZrG/aiQcliFxXNuXfyUyK6PVK+/yDf1aHXL6PI9P1NNU2EXkJr4dwHZzpF6pfvwEo8m+d5U90m2HRiZM2ofK9r1cmzOJKSjoGVynp1ZwWNfhprDxRH1Wjm6jKn1USlKMcJYfM2R8wySrphi62sw+hfu26jjciyQMXyunIeiIgA/pjpFFtFRmr4YyY9ajUl0qbONNGkgY7K0fTjdatGFXVq65g45bzIG36DoSzCPP61KmJ76/kiM06E6QYd2+bdQS17y+Lck6ZI9jhI5P7sXvr5/uJWhWaM+DK6SscG5gAfOW6pgrLsqRKMurZu7tiZsSiPecEHD1vQNVqeMU3DQuyx88KaqRX0IWZxX/eOhprf+s3O5xSuLPBjkV32UbWyptJBaOvGzncs5ON1MHp87LiN2292qXUS6zKvbm/ZSAhccwRE8F5zSyYXLAS8IJCeCjPuBFJ/+BgUc3cv2YL76kSrArBph07iqUZVMS3mhEoNuPEi7go8U+gTbyDpnRcA00mF8IyVJ84i3bLQMbJwVmEh9zyFtBkTYcbsyXMiCRmZ+O+Wg3ih6ZWzCQsaeJvikbF4VoHwJu4/hjJB/hfMy7JsfLDtIKJDg1TXt4JG4O2PYtPRMirySOFGv126CrBbGiORtNOi/daGLbThspUYXrPBVK18q0Tr2LzNhr+fraKzXTvqsC1gwRLLaR3MNsHLLfTopCM9E6qNMJsssO3Z/MXnheEDd9HlwVSRVQ5lW9bcwE/Z8ne7tNdVtzR6+mYfLEgbMdzAp+dyhbN/Vq+2ruzIJmQT157P6dRQp4aOCVMdwclUiy7tDWVvRqHKtAPOsUc2b2Dasu2PsVXRG0U8bdnY8IJd2yLLAFNnXhhF7tROV5ZvC5eaKv+Z9mUcQ/ob2LHHVjnGHHSBYFT99Bnnc9t2rNMYIS5Vwon6Ms2CgyKcRYZiXVbQ3S2fC4Frj4AI3mtvzeSKhcDFCaQkI3PnZqTP/lVtx+Kvh1fswPtt6sBP17HtTBJ+3HMEh5LT8HKz6qiSzfYrrwMbVWojoFs/pHz5dtbHjHRGBPjBj90PCjmManUR0KknUr5+L98939m8HzdVK4/ywfmnRxTmtK66TeDfnJHl857D+e3PorhYRnKjyyhGh5PTEJOUikMp6eqfaW4TYzs3Uq/cLzYCb3kAW89GqbxdCs79MYzqGggJspWDQWRZTTWhYISXwosNEii86L9bKRqIOQyVt8o2vwN6M5ppK2uxoQNc2LrTaTc8bJALW7ZZSiAOH+RSIo//zkEx3a+nK0eKQ16i+K5bXcrGjFZe2QeFZ6VoDZOnXeieQHuwFWss5ZCQeziFc05EloVsdWvrOHLUVu2CM9KZP8v2xy6s3cDIs3OtzPFt1sjAuk2mKtpbu9FSkdo7bjYw5pu83Rtom8ZobPbrbtbYUHnB7NbGwYh2986G8jj2ePTSzYJR7RpVdbAIM/sXBO7D62caCKPOMoSAECg6BETwFp21lJkIASAlCemLZiNz44ocNJYfPwsWZrWICMPm00mqGOzxBpWVK0Fihlvl4bKxQ34jsO9w2OmpSJ87RW3C6C6FYEHR4fyOF3z7w8hcPg+ZOzblucnm04lYF5eAkTUqXJFV1QKCEfLAs0h659kCj8d83qdW71LblQsOQMWQQBXVjQ4NVP9OEe7yIuHT/8Y7sSuzJipFQbX55ev3qAq6asm7faelBC+jvLQoY+STgnfvfguWrSE6CjgbD+zex6I2S/nPrjjnm8uUhGmzTBw7aeOeka6sTmz3jnKp4rSERGeKbGdcs6qOSX+cF4wjbzKUwDt02BGq2d0fcoPhOdkueM++nNHViFJA/145i9U8+zJtgKkJP010zskILQUmc40pUFlAxrbDbVroGHtum1o1NCX4mdcbVZ7d3SzVdMLxD6bIvzC6m9cici43XJ/Tgow5yORBv2K6S7Bz2+IVJvYfdPJ4Zy80c+QtjxjqUp+HhDi50RS+MoSAECgaBETwFo11lFkIAdgZGaqFLlvp5jUyTAv/3XoAZ9PdeLJhFaSYFj7bEYODSWnKP7dfdBn0iiqdL8mQh15SBWzWmVNqG3YnG1WzAiIu4vbAwrazGZmoFRaSIyJqRFdDYM8bkfxF3tfK4z+9eideblrjkqLIeU2C9mQZS+fkK7I9+7Dz2j+Xb8fHbepe1rn9r78Fe4wGKsKbmGTj+AlH0LF72c7dlirqqlAe2LjVRnAQc2l1HDtuqQYUzOG1TBtLV9vYd8ACvXQnTTXVa3jmzn70pePN63FQyMtHt093HfSjXbbKEYw8BxtWZE9RaNKQHsE6pszIGUXN7v6Qm2X3TrRNc1IJco+bbjRUyoInZ5iFYjwWc3MpbJnKMeomA3P/tNUXANqmMQeZLgnly2pITXMirszPZQe5HycU3KiEHsa0TRs13KUiu/Qv9gyKXOY/z1noNPpggRtF+G95RK0p4rlGK895GDPFpE8P2pZJkwp5vAqBokBABG9RWEWZgxCwLCSPeU218A3oMyRf0UuR2qdiBEoH+uHp1buUDdewqk6HtBfX78U9taJQMTQoT550OwgaeAuSz7kdHEtJx097j+KRBuebUOTecdHR01h1Kh7JmSaeaVxVpVR4RvCt/0Dm5jXIzOX16/l88sHjKBXghw4XyRE+mJSKT7bFYESN8qhXothF7wP/9tfBiCiH1N++K/B+uXfJFnzQpi78LyFlw3Nw/+tuwIGwlqqF7ukzGk6ftZQVl78L2LXPBiOltOGiCGRwneI3MUlT7XrLRWoIDrIxZbqlBNw/R7uUB22xEOCmwS58/p1b5Zr26e7YkzE6zMIzFop5xu03G5g9384q9qK7A8Xfz7+eF6rZUyKyQ6E3LiPQLIzLPTyCm7mw2QeL03p2pW9wzn1oyUanBQrh8uV0MMd3/GTnOinC6YVLX1+mJpw5a6tCN0ar6ULBNAimFvB6yMEjpD3nZWc1pkCULKEhI8POsjRjxJxNLZjnXDlaU+eMPeIUtrH7G9sgs2mFZzCaSyeNGXNzXjsbWdw2zCWFbAX+xsgGQuDqJyCC9+pfI7lCIZA/AVYyWRaS3n0BsBwR4TghtMszX5UFbPw7/82uwyjh75fD8osWY01KhaF9ZIl8zxfQ9XpoIcWQ9vtPaptf9h1F9bBgNCtd/KKr9HvMCSV2s0eQ9cgoBA68VblI5DW8LV7bm5CCF9ftwd21otCxXP4FdDxf0KDbsgT7xS44NjlNpTPk9vs9nZ4Jpjy0iCheoBewf4eeOFS+q8opPXYcSEymBZamOp3t3m+jVEkNFSJZzGaD3sIUwxRtsUeBiJJAmQhNdQhjhJHpBZ9961b70w7s+19M1Z2NHrW0KmvWSFfR4ykznHsgLzcG7seGFn8uc5Qqr+OeUU60OPcYOdylCuRiDudMJ2CxWp1aWg4nCM++2fOM82NLITt+sqXEf/ahCuc0DfMXm+jYhg05bMyaf34b2pBRUDOf+cTJ80q7Yxu6PlAQa8qvmINFcvwiMPdPU3V8Y5T3xCkWAEKJXbY8ZhMNz6hbU0N9cvztvNilmwPdIjzHGznMhdAr15NEnmhCQAj8DQRE8P4N0OWUQuCKEHC7YWWkIeXDly84nH/bbjDKRSN10jd5noqWYkOrRKJ6tva8bBncrkxxTDx4QhXzUMRS2OUeIfc+jbTp42HG7AXTJGhvxu5qsSlpmBpzEoGGjtrhIWp/pkpwMH94f2Iq7qqV0/YraMidMGP2IWPlgjyvc8uZRNQvUUyd55UNe/Fy0+pZDSj42ezDcVh9Kl41pqBdWK0C2g2HPvwKkr96F3bCuZL9iyzErvhk1VTjntoVs7Y6npqOdzYfQDg7yjWudtFl9GvZCSer90JkOaepQ1qa48zg59Kw54ClLMnKReoqv5R+sOXKUqxp2HeQnzn5vbT9YiS3dzcnckpxVq+OrtwR2rVyopIz55no28NQ0VEKQg7HakzHj+PPizjabs2ef74LGyO+LZrkbErBfSnEB/bW8dXYC6O7bD+8fLWNvQdyCtbw4ppyR/giWwvf3HBUEVxFFpTln5NbvBgwdJALX3yfrTNctKaivHRxaN/KUMVsjAbTNePMWadjWnbR3rQR3RuAdZss9O5uqIg5I+DTZpsqepw9Ms0OeD27G/j2p5yin6w2brHUMTzj7hEu1S1ObMuuyNNLDiIE/ucERPD+z5HLCYXAFSCQmQErKf98XZ4hsM9QsMdq2jm3huxnpafsnMNxGFS5LEoE+KloJse6Uwl4d8sBVCsWhJea1cjzQvXw0gi+7R9I+vAl9fnZ9EyEB/ghMdONx1ftxD21KmJ/YgrWxCUoG7Qgl4E9CSl4rnHVCxwh9JIRCLrpXiR//EqBUCjSaYF2Ki0Dc47EwW3Z6F6+JLpXKK3m4M0IHHAr7DNxSF8046KbU/Dfs3QbhlQpix4VSqs5cn5M9+Bnz6zZhbtrVUTVsOB8j+PXuDXONuiHsuX9VfEZmzRQxFKwMS+XHdforXv0mK0aLLCoi7m4bNPLwjZGND//3u1YiTVzhGmbFgbCw2zMmGeppg1Hj1lYvcEGI7ILl5iqQIyDhWMsBJs2xxGtPB4bTnz67XlhxwKupKTz3cs8E2HnMaYEzJyXq1iNrg/XuVQKRe7Ro7OubMFoj5bfeOAup8Ux2w7nN+j7S6cJTwMJpn1UjNKxbael2gEzPYIc4xOgRO2gfga2breznCl4XPJli+GQYKhObOy8RsHLLxEer171+xHgODKw4Ub2wZ83bajDzx/qWj050NyGQpiRXsnq9ea3TbYRAlcXARG8V9d6yNUIgYIJZGbAPHEUqT9+jH0JKQjxM1A2n+5mQcNHw9q3E+mr/rzguMyvXXj0NFqWCUfPCqUwfv8xzDx8Co82qIwNcYkqtzd7zm32A/i37gq9YmWkTfg6x3Hnxp4C0wE8DRwoFE+mZaBiaCBS3JYSjdEhgVlRWu5Mj1zr9KkCReiaU/Eqmty8dHFcV6EUmpQMK9AaLPekXbUbgZHX1Is0vuA+vO5XN+zFf1rVVoegK8X8o6fxdKOq6r8/23EI9cND0e4i6R+0QktpdQNKRARg1x7abLG5hGOldfCQjeJhji3ZqdM2zsbbKo+VIpWC13BpiIzQlLhk/mt1ui387kafHgbOnovkjhxuKO9cOi54cnw982XUk6kSG7c6ArR2dQ2NGuj4JdtreydP1q0K27KPO28xMG2OdYFNGYvVMs55/mbfPr/2w9m3YQFaeHFg+tz8BXHdmrpK0Rj3W7bobiVNCVPauFHIMiVh9gJHxLdo4qQ5ePKMmavbpKGOuQtNJCZB5e1SKNMSjoVqtHVj8wvPyO1qwVQICn1GjSmWGQ1mKgW/LLBAj9fGjm4jhhoIC3O+uMgQAkLg2iEggvfaWSu5UiGgQk7W6ZNI+fa/igabJBxITEXLMsXzbQARfPfjyJj3O9z7duRJkHm9fE2fxAhtwyoodRHXhewHCB71EDJXLULmtvVZP2b089k1u3FfnYpZxW8745OV7+/ZDDcig/yRZlp4oUm1LDGthYYh+M5Hkfz+vy66wnyF/cDybXi9RU0Uz8MvKsVtIshwckHzHf6BCH3w+QLtyTItC/+3fDs+altXHW/xsdMYu/cobqxUVn3B+GzHYbzSrLqyK8tvGNXrIrPzMASGBWHvfhP+frrKy+VgJDYs1MnTTUig6LVUS13mmzLHND3DRpkIpiS4VeoCm1XMWmDh5htcWLPJUgLa0w6YkeIBfc636OXx77vdhe/Hu5Gc7FzddV0MpKbaWLzCEZyMJvfJ1YbY8/PePS58xc/Pcotqz7yZZhAaal8QEfZ8frFc4ezsOJ8xX7vhPpdJERwMFdXt1tFQPOLjna0p4kuX1DCgt4GvsrVRZt7u9LmmiqJXr8IvDjbiE2307Goov2Dau3nGLYNdWL3BxK49jgCmW0TXjgZMNwsHnaYentGovg7+f+kKU7lBcNCNongxJ9VChhAQAtcGARG818Y6yVUKAfUu1z5zCnGfv6UEKgXkDZXKok3ZcDy7Zheeb1wtXy9dttZN+fI/sBNzhfMA5bRA0fxEw8pe+ct6lkILCkHwvU8h+b3n/5+97wCvosy7PzNzS256AUIgJPTQq/ReBEGKglRBlBW7u+5+lu3r6u5+q+sW167YBelSBAREegdBeq8JJRBSb8tt/+e8k5vce3NbEMv/c37Ps49L8s47M7+54rlnzu8cv6dD1vlQUZmIHF545rLQ707PyRTMLGvR2SuI08kYmlm78riYYePgcTpgX7M47JPmkFyiXodhDaqO9R7wxPajsDideKpto7BxybH3PYHybevgPPpN2HP95+BZkcJFXTCH7h5vlY1lF/Jx3ebAkMxawuEiXNF6zTPsHsgmkwCxZEJriUMkXMh1i1fjtdNkWGweXLkKUL9KIMoBq+ISj3AeICNLHao3gIL2ZIwOpsMAX//TrUGwt21kzF2sIkU6C4wbrfPT0wrWdrUHl6+qQK7HLbJIO1tRIXnw3ke/XooYZuPAl2+RLeWQ3IKlwV0bfIFqYE8oLwCqBzz4rhNWZy5JyDJYLZur4J964s3b3XC56NYgCXkCy9emzbsPATDtx8jKMpSjR1dZhGNcCQjUGH6rDiWlHmzeXnUvA/sw5c4tPHvp/+sNruDelIdwvVdmIZ6gxFAMHXR6dUBQK60DWgd+/B3QAO+P/xlpV6h1AKSe3MWFsLzzD1A2QH/bKU3rYf6ZywKUbbpciP90bxESsEoGI+Ie/xPK/vnbat1k8hqZ4huJ8tW37w5dm06wznq92r4MuyBQ/H3HJoj1CbVYeeEqShxOTGicUXWMuL4/whwhGMLhcgtv3AtlVuE2kR3AsFIr/N9D50QvAh0WvCcz9hwMqW4mbIs+CPvJMjtdmH/6Mjio1js9Jax8IdhGcnomlLEz4FRMIkCBk/9paZLw1+Xrdep1qUl1OCRcuuJBXKxHWHSZrUB+PhAbByxZ4RJDXIeOuHD0uAcPT1ddFRjkQCutT+a70IeuBjGofNUfCIA52DZxrIx3PqwCeL5BFr7XTteG+YtduF7k7zk2dZyCLTvdOH2uehpbwyzgs+XBpQrBtMOBvapTCxg51D/IgtKF7btdaJVD9wlJ6INpGUZ5AhlbstW+LCz3pM9v6xwV5FK6QPY8O1PCrr1V10agT+nIslX+wJ265UNH3UIbTDacwJnDbQT/3McLtHkeShmoR6ZNHPtIhl2TN2h/SWsd+PF3QAO8P/5npF3hT70DbjfcJYWwvPWC6AT9b98/kYcpTTJwze7AG0cuiNS0OL0OewtKBCNJq7DAktPSYZowA+bX/1Ltd4zLDZe0Fu4RmCY+COfJI3Ds3ui37F8HzmJkVm0/tpXXR9/cv97SDHUCdMfC8iw2DrbP54R94k63G49sPYJJjetiQL00MWinkyW0S1V9eJ/bexJTmtQLOVBGIGoaew/Mr/8t4ieLEg3GCWf7xC/Tluz1I+dxX/PMynMGBbwptaGf8nOYHQZcJoA1Uacrw+Hw4NIV1YOWLC4r95IbJqPqR8tvMBcueiDBI2QMXncFi9WDMaMUvPuxS2hVCebIRN41Sofjp9yVr+wpAaD8g7ZiLLKl7VopmFvpfSvhnomKXwAF12VmSBhYYXnmez8EpLeHGFa7f6oiwC6je4MV2enSUmDzjuDxwDzmngk6bNzqwtkLVXsQ0NOLmClrBLHeYTPGAXfuIAmP3mDFoAuy3dTu1qsrY9del0isY+U0k9GprVTpQ0yQyvVHT/hfO4f56HzBvhGwk/n1Fr+38UvHK+/4+h3rhOZXA70R/3XSFmgd+EE7oAHeH7T92sm1DkTugLvgqpAj+Fa+1Y5t+UVYePYKnu3YFFes5Zh96iLGNa6L/ddL0aVWErrVSa62ua5RDowDbof5vX+J350ttQjAOKaRGj5xYyUh/pkXUPbC036Hf3b2imCfxzRMx0WLHQvOXMKxYguebNsIjRKCa1/jn3mx2j6B10SXhuf2nsJ/e7QUv9p+pRCzT1/GXzs3A1PSfr37BJ7t2CRkgAaPiXviOVg/eBnuooKwt0xvYl47dcPeIsv8zfVSMbj2nx4tK63XAjeiNjnm/mdQZNaLwTSCotQUdfJfBbwepCTLUBR676rhE6kpsgDC5y96UFKsam4fma7gvdkuIXcgm0tdr68rQuDr/Snjddi6w1XJxhLAUZe6ZYcK3FrlqEEM9O/1rVv7Kyh3eLBhiz9bS8aTWtqN2/zXEywSePsOwvnuxwG8O4YHtzfzruPxjRpIWBQk+axJIwJ1GVeueoRTAtlW3iut2sIVdbW0G2PPOXjGYpwxXS18Nb9cN3W8DifPuP3umZHDZ867heex90sD99DpVG20L9j1Xgevi9IGzbLsxv4G0Y7SOvB9dEADvN9Hl7VzaB24wQ547FZ4iq7DeXAPyndv9tuFwO+D43m4r3l9/PHrk/hL52bCnos/f/torkg2IxvKV/u+r/f1HXtA36I9LJ++Kfb754EzGJiRho61Em/wKgF9Tlvoew2G5b1/+wHD146cx5EiM+L1CgZmpAqLr3DpZYZet0KpmxnSP5ibM6ThkS2HKpPQ6Jc77/RlMHWNwRCjsutgWrP6Ye8lZtRkeEqKYF+/IuQ6DsH9YtsRvNKzJWIUBfsLSnCixIKxFV8OCIapn/Zqk6ttpDci7ufP4sp1spwecAiLgLe8HMi/pmo/6VwQY5SQS22qR0JSEpCWAuHbe/6CR7xm98YHt2sloWkTGYuWuTBxjOoTe/a8G/dO0uGN91UQSMDF1+2+oOz+qWrk7rWKyN1Rt8m4eFm17PItMpcfzXFWgkTv70INq5GvdhvTAAAgAElEQVSZ3bTdhTMBMgfvcbQMO3vOjb0HgrO/BJB0SggWfOHdg5HDXhszpsLxno+eCO30EOxhhhuao3Ticn4VG8xn07SRLNhlsry+1/HgtPDX+ujPdILl1UDvDf81oh2odeA77YAGeL/T9mqbax34dh3wsqaxkx6CM+8cygP8Y11uD3ZeLcYli62SpS0td+JgYRmOFJeJVLDHWmWjflyM34UY+98OKTEZtqWzQJeG5/eewhNtsqvJDMwOp2CP6eBQ5nSButZSh0v8maEULZOr4qdi7pgKT1FBUBBJ5pUSB+oiY3Sy8OalowK1vQyWaJ1StU/8k/8L8yvPgWA/VM0+eVEwrz3Tk7Hs/FX0qZuCofVrweFxC3AaqXQ57WDoMQCWD14OuZQWauzLi11zxJrdV4vx3vFcvNyjpXCYoHRiWGbtoOEc3k3JWOdeBGx2N+LjVGsuAXjz3TAYJSQm0HuXdlkQ7Cr/TL9Yakn5Ov5aAb1mZbz7CRPIZBgMHny5wVMZvcvBNw5cMXmNFRjvS+uz8aP9AyGC+eGqmmAFn8z3Z0/btpTRvKmEhcv82d0G9SUwHc173sAm0ilhcH9FAOhQNWKoGgqxY09kAMtBtNq1JHxeob3l/kyNo1yBVmmBRZDbMkcWMo8ZUxUsCiG7YE+37XajZXMZtE77cI5TJKwRuFIvzKIhCBncQGBOhrhXVz5TDta5cLUAeGS6TjDBWmkd0Drw4+uABnh/fM9EuyKtA/CU28WAmqesylXBNGYa3OZS2Fct8usQPWM5qDWpSYYAkZnxJpwsNuPfh86hfqwRv2idLfS9gWUaPQWu4kKUr1+OXLNNvKKn04MvA/vC/tMosjvRMjkO8XqdAKj01V12Lh8Tm2QIuYJv0Q3C+vY/4DZXd4N4af8ZDG9QG9kJJlgcThwoLMNHJy+ib3qKcHHwluGWvlCatoB1ztshPwkE+nNOX8KhwjK0SU3A+EbpNXKYgN6I+F/8CWUvVR/i8z3p41sP48m2DYWGd+bRCyDs+6agRABel8eDl7rmhNU+xz35v7hwSYbD6UFcnITUJEnIA/IL1KhbDpQRBDN62GzlIBvdGiThwrBqrVvIHeic8PE8p7DhovSBwQw/m6IGJnRoI6NxQxmLPleBZaf2ChrUV4fdWK1bSALMed0VCFT795bxcQVA9t7rbYNk4V3rlT14fz5lvIItOzw4c84flN41SsHxU/5WX759mzhGwd79bhyrsP0KfJCRALPvegLdkUMVvOdjQUbHiD7dFXw83yn6GVj9esnYs88tfIsPH3Xj4NHgLDNlGfwNWd1TZ9zCFWJbRVod9zQaATLkrwWJX+be9OWlZVq/ngoWfe4Sz4+SkiCuedrfaloHtA78wB3QAO8P/AC002sdCOyAu6QIZXPfw9oDB9GtdhISff7rGTNsPKDXC2bWtwhYv7hwFS1T4pFm1AsA/HS7RoLZDRUeweNj73kcjn074Ni/E9vzi8BwBzLC3iqwleMv+07hDx2bItWox4ZL1/HBiTw81KJBUI2w0qAJYobfBXPFgJ3vNXIv2qk9064RPj19CUeLzJjRIhOtU9RhM9+KFxrb/8JVdC3iB2Tx2StYfuGqGFLjwF6zxFg0SYz1c4YItkkwH+HAdUyk+8/Bc2Iojn0l28teF9qdaJMSH1aeIfr7i+dwPt8AjqDFmVRwS4B2rZBJYSrApf/u1WtAcZkHcTES4hMAzvN9NNcpIoLbtlIwb7FTJKXRoosMJIfBGEoxZIAMqxWV/rrUqTJ2d+fXKkAdMUQRHr/bd6uAr19PWbUd2+gPYAM9cLmWjhG306s3IFmNHrijhvkDUN++NcqS0LObglkBbLHvmhmUWax0CYY3Uj0wTcG8z9woKqlam5So9o3hExu2qOwqi28Q+CWA+l0CfYcTlVZnwc5DXfUdw3VYstKJsgrPYu86kcTGLxYhNMOUlTC4g4wu+05nCIJmo0ESz8cU2qI50i1rv9c6oHXgO+iABni/g6ZqW2oduOEOWK3IXzYXWzdvQuMEk0hCu7d5fT8NLofO6LhgXeCfcsZz5pZZBUD9XYfwQ1u+1xf36O9gW/QxXJfOC9/cARmpSPUJnzhYWIrZJy8JQMmBOAJWr0RCaIRBW6aqsAfj0LGQZBm2lfP92kDHA8YWc+CL/sH06VUqjqOFGXW+bSucFvTtukDfrissn7wWsZW0Ipt18iJ+lpMpQPTxErOIMuYVda2d5G9/5rObscdASBlZEe3JSsodKLQ7xBBcoNXZm8KtoT6MIWQUpod/j/NFCeBtUsNLCyuzxYPrhZIAvPwZQXBxqYTCQjeMRgmxsRJSkiB0uAR0TGfjq/yH71OEhMAXBE8Zp8O2XVWBCHx9/9kKd6Vel7rT+UuqbMYYpbtqrQt5PoljDGno2kmNLvYtDm/RGcIbVuH93fBbZRQVAVt9mFDf46ZN0uGrTS6RABesenSRkZYMfL4mspRh+GAdSsrcAuh7i1HLHLrbsNUl5CG3DlCgyBDANyZGEkCdj6N+PRlLVoQfcOOevvIF7zlo80Z3jMDYYXocx8dLwlauQT1JuGlQbmGzQzhVDOit9rF1CxndOkkwmbQQ4oj/AmsLtA58Tx3QAO/31GjtNFoHInWAmlXH19vxyttvY1BGqrAYO1VqFUEKXmDo3UPfrT/0TVvDMssfEBKcLj2XLyJwwyaOBVxM/NN/R9k//wC4qgsir9vK8fs9J8R+/+yWU6mRXXLuivABTjEaMK1pPdxSWw2WYMU99kcRO+y6klv5s7ePXhD+uwU2B/4Q4M3LQbsX9p/B/97SrFKaEPfI72Bb/AlcF89Fah2e3HFUpMQxYpk2Yqtzr2HjlUK0To4X/fMF5N7N5Dr1YLrrPphf/2vE/UMt+PPXJzG1aWgLtJj7n8aFsjTBAtLiitG1ZWaPiAeWFdX2KjERgqUtuE4JgwqSGELx5gdOkTLG0AW+ZvfKGKgbJeha9ZVLDKi99aFTDHbR3YGDZDyORXA9dpSMmR9XBFIkSRg3yl/Py3WBrDB/Fmz4TTzXWEkwzd5zBPalZTMZbVvTASI40CSjylf+b1VcY7jG5zSV0KGNhLmLq8Auh9goZSCgZhGAWmyqXy4dGfjlIS1FRvcuciXDzBck1NvynijbiFTiHifIePN9f92y+KLRUhbBIBz4I5scWHferqa92e0Q4Jf6Zy2YIlLHtd9rHfh+OqAB3u+nz9pZtA6E74DLCefp44JtPFpUhjyLHTvyizGuUboIlaBHbofUBLTyGe7St+8GQ6ceML+vxgx7i6/cMwOG1AJPzqGzOJ1SCYrluASY7n8K5pf/WO06f7PrGHrUScEFs01435L9tbtceHTrEWHXlaBX8NzX/kNvcu0MmMbfD/Nrz1fu5/X65QBbsMEyJrCxvLpgXYv2MHTvH3awzLv5F7nX8PW1YjFYd9VajsH10zC4XlrEmOT4X/wZlo9egbswsnQi2AN871iusFijH3Cwipn2BC7Y6grmNsZEgCaJ1K6iYk8luKWsgb65BdcZpseACgJhCCsypn7RseFCnhsjh+jw3uwqLS/jcu/iQNpHKrhs3FBCj1sUzFqg/rltS0l4z3r1uwSPDbNlLPaxACO7SXeBQKuttq1kEHAGJqv1760IZvrLDcHZ2WAJaL59GTtKwYkw2l/vWoJEL8D3PZ7A9baBigiOIOCklpf/9GqFCfJ9e8JjCZLHjtQJRwuGUgQryjBiYoDcPOBuAvoK1wvftRyyYzIdAXS71rKQlhw84hauGvRP5vAay/ccY0YoqJtONl/7C1DrgNaBH7oDGuD9oZ+Adn6tAx4PPIUFdKWC5e0XRT8IgBafzxe2Yp3SEtE0KQ4EVznJceB/O7unp4h1+uZtoe8/rPI4SgPapsaLAbNQdaSoDO8fz4NOkvBIq6xKcKxkZCFm9N0wv/m/foc63O5KHfC6S9cx7/QlpJsMcHuA5zo3E2sJOOn2cKfPEJuhz21QaqXD+tmHYZ8xfW2tjE32AM/uPYnfdmiC2hWSirgZT8G2bjlcJw+H3OOTkxexKvca7G43ftm6IbrVSQqZsha4iXHERKCsFPb1y0Pu/5tdx4VEgsA+I9aIDmmJ6FIrEQ0TYkXqHd0i7glhg2ac9BBy0UgkoRHIkuFlbDBBL+URBMJxcWQoPcKRwe4AjHogxiTh47lqktd2SgckCNnBpwuduHeigrWb3KDGlJKH2QtVJpIuC/T2Xb1OBXUjb5NxJR+Vel7GDR897sKBI1XUJAFj+9ZVscTeJqh6YY/wo/WWb8JYsGZRO9swW/ID1L7rmjWS0aWTVHm94T4Uk8Yo2PONRwRqeIvsLUMsmKiW01QWoRT85449LhEJzAploUZmtmUOo4vdgqH1LTo+kL1ldPDddymVFm+B10dXiiPHPaJfR064kVWfIFkS52/RTGV+z/mEZ3iP5+AfnTe00jqgdeCH7YAGeH/Y/mtn1zogOkD7MSWzEWLG3w/bx6/CdfWS+PlHJ/IwsXEGFEkS/rqzTl1C37opfvIBpUFjxIy6W7CpDKTgUNmjLbOCOjP4tpu6VGpqn68Arfwd/Xl13frB+uF/qz0ZSgXo9/v79o0F8Pv3wXPomJYgwPirh86J6+xVVwXi3goGWOmju/lKIbZcKRJuEkkGHZKNeugkWXjsjs6uU6nlVRrmwDh4JCwzXwr5Sdl1tViwrCsuXEX/jFRk+cQN0zosSa8TOlvf4T/vZjp+Yeg5UIRQhCr2XS9JcHg8wqGCvsI784vEK/KcpHjkmW34XccmQQ83jrkXl2JaCmAUE+MRrgwcvjKX0R3Ao2p2Y1QHB/rk8vU89ahkMpkm5tXgZmcBWfVlLFnpAgfMaJHFmNykJElE7rIm3KHgwBG3AG6sh+6lnlQFg9zzkSBMLhnI02c92HewClgy4GLYYBkffOr/Sv+WjrKwPVv2RfCUMzLFMz92ihjgYOXVIHvDIEL1mxpfJtAtX111Hkb/8jtc3ToS1m5UI4azGsg4n+vG9UJ1J1Wf7Ebe5ap7YRpdh3YyvjmgAl06K3y93y10uydPe1A7DWjRXMY3Bz2YPLa6VKNTexlkf8nkXsn3YOggRbDJdGfw9nzBMhdcIYLk+vdilLGMunW0JDbtr3qtAz90BzTA+0M/Ae38P+kOeGxWWOe8A3eF1lUyxCD2wafh2PoVyvdsRrHdgeW514QjwNqLBZiRkxmUvVVqZyBm8kMwv/wnET388cmLeKxVlvC7ZZF9pYyhtsmI5efz0b9eGjhE9uTOY3izV2u/Z2Do1h9KVhNY57/r9/MdwsWhBI+2yhI/p3SC4QtJBj3apcZjRFadas9Sik9C3P3/g7L/VEklaOu1+Fw+RmXVEfelJxoLU6ZpP4dz9xY4Du0Ju45SiXKX2w/Y8hrpn/t1QUklG+23id6AuF88C3MEe7JgJ75otmHNxQLYXG482KJB0GszDJ+AK6mdxOtyRgfTN7ewiAlgKuOn13sQa6IXL5lfwGIFnC6P0GzTauyx+xW88o4LDEgodzA+GJU6XK/c4etvVPBFPS/lDQSctNeinpQAlMVBr+4+cgf+TJUNKHj9PX+0NnSgIvSw9Jb1LaaM0ac3mA62+y2yeLW/PMQgGtlRnU7CmvWhI4Z5LoLt4XSG8LEgY2+YyEaQ2aWjIkA3ge7h44w0Vq+QwP3seeDr/VX7U3pACcbqderP+AWFrDivlZZq+Vc96NVNxr6DwIQ75Wq6YoJdAutjJ9zCyWHBUicaZEro3pmSCiecToApdp8FSYnj+eh/XFjswZr1btCGjc4NPL9WWge0DvwwHdAA7w/Td+2sWgcAmxXmdSuwYfVKlLs8QnfqLdOkB4HSElg//1T8iMNoF812DMmsFbJzckIyTA8+DfO//4S8klJ8euqSAL3U/3KIq9jhxLhGdbHlciEWnbsCwkyC1FbJcThdahXhD14phHHIneCou33lgsrzMYTi2b2n8MeOTZCg12Hj5esilviJNg0FM0tHiV3XioU7wogGdSr1xoYufaE0Ce+rG+7jINdviJgRE2F56+9hPzUcrKPUYHR2umBdeR31KrTMv919HI+1zKr8s+9GcdN+jvIoAPWNfGQNg0bhav3eAugI0BsDlJSpg2vUKYiBKj3tySQRoMDflZd7YLN5hKRg8l0K3v7QibEjFZw47RGJbWQ7Zy1w4Wd3K1i+2oPLV92olQqMGqar9Krla3eCXG9kr7AvswGbtlWxn20qNL4Ll1aBxFDDanQdYCQxHR8Ci44ITGl79Z3gg2qpyaqG9p0K8B2uj0xeowbZF1ST2W2ULYHSA0YM027sehF1zSqTPaivLLToX27wvzb2mnHJSysYabpRUM9LWYK3qLslM87Bv8AiiKY7Bp8L7dlooUYnhjIL0LmdLFjd7Xtc4ouKb/ELzD0TFOFiweALb/XsqoBpeWTvtdI6oHXg+++ABni//55rZ9Q6ADgdcJw5jv/89Xk0TYwVkbWPtFSZU28ZB42CktFAWHMxaIFBB4GxvNTXfng8T7CkdzfJgN4Yg7hfPgfr2y/hXF4uTpdY0DcjFfSTPVlixeQmGYIF/eu+U/hzhZRh46XruGi1i3Q2SiEoV2CZ7pouHBLKt66tvKZDhaV452guapsMOFZsFkEVDKP458GzSNbrMDK7jtAGv3ssVwQ2MASDFTPlEbgO7IHjmx3Vnv66iwUoLHciRpEr09fITNP31zt8Z5r8EJzHDsCxZ0vQTw8jhZ/ZeQxv9W4ttLFr8q6BUge6VRDe/Gr7UTzcsgFyfJLhvBsZegyEXC8btoXv3/RPpr7nYBTm3CrYVEYIE+yUmgGLxSM0ywSL/DnBMInu4lKCXeB6oQdHT3gw7FaV7aRF1uqvXMKijGwhh6ceuLcqEEENmOCQmQqw7himiLhib3xwoD0Z14y/Q8GhIx4cOlYFygiUmzWWsWCZPwC8b7KC1V9RLlDdmoBBFjqlOuD0NnPyXTrs+tqNE6fD25DdfqsigKxv8IPvAyHoPHHKjYZZciVr27GtjMbZEhZ+XgV26VbRMEsSkcdkhqmdZgRyp3ayAMkM72DRx5euFW9XDP0FPnwCbMoYMutJYiCQUhEGWqzf4hbscLDKbqAyuXMWuvx8g71r2fM6tRn1fdM/atqGWge0DkTogAZ4tY+I1oEfoAMeS5mIzyVLmme2o1NaAg4VmQUr2Ss9GSlGvRgU07e9BYY+Q3Hsxd9j7/VSjGhQO6jd2ObLhUg06NCuwsc27hd/hn3Rh3BeOF15d28cOS/AKF/zM6CCmlvfOldqwcKz+fhV24aVP46d/is4tnwJx7H9lT8rKXcKr9vmiXHCZoxDXXVjjciMNeKO7DoilYyM8vVyR9U59AbE/+LZoMlmTDAjYCfDbHG6YHG6RYgG9yaAZR+E68O46SEtxOgA8T87juK1CnkGgf4rh8/BIMvCuSFBp+BvXZoHHWZTHSWmw/zajduThfoI6Tv3Rmm7YdAZdULHS7aSgNdKwAsJiuwRrKMxhlpeiGE2q9WDsxeAgkIPunaS8elCVbf7xntODOyrMrXUnw4dWKWz5av1MvrV7lCBGOUHDK6gNIG+tAygoMODt2i9xWGqQHuwqRMUbNrqxlmf4Suyq4JVnl+d3Q21j/c8wu2hmYQFQZhh354JO7NWEuaFWccgh9Y5lCO4hS45O1NGv54SPppXdV1cw9QzDtvd0oGuCk6h+22cLePkWTeOnVD7Q43w2BEy3qmwbOPPyG4TFFPjG8xyjGv4PKi1Pn2uOuDt2lFGTnOm2AVnuvnlhqwwtc5RpF//AH8raafUOvB/uwMa4P2//Xy1u/sRdoBgVzLFwrZ0DpxH94GuCTanGyadjIYJJnyZV4DzZTbhoMCiX2zsvT9H3rv/xapde4QTAgfOKCFg8T+9pQ4XJjVOx6lSm0gZo+VY3MO/gX39SjiP7Kvswv4C9f0ruTaGRyQbdHiZscSNM4TO9VyZ1S9pjWvjfv4srB+9CneQ1LOndhzFoHppuK1BbZBlfX7vSbzQJUcMpellCX3qplaeW9+mM/Sde8ESMBBHqcRze0/hz52aCjD+zrFc1DUZReAGgb+3YsZMg+tyHhxbvwz6VP998Kxgy/vVTcHsU5fEsUyqu253on1qQjUvY99N4nmPs16HqyD/pn5i9G27wNZtNCSDvlK/SZ0ugwrcLkBWVNsspnMRrDkd9Ir1iCEqevc2zgZWr3dj6njVX5fuBQRkPKZFU6WSiZ02ScFXG92CwWQU74ihMt6fpQJBancpefjcZwhMWJRlyVhcEUHMdWSPyU5+EJCsxpjgfQc9OHq8OkM7TEQSS9i8I7g2N5Rrgm+TKT24d7IK6KMtDv9xyCxQikCGuqTMI75YcE3rljKOHHPjyHF3ZZIa9c2UK3jt3Lzn5BcDaqU53OYrjyArTxcGp9ODRtmyGBKktte3+IWCIJZDhYHFaxnQR92XOuS0VOCuUTrNnzfah62t0zpwkzqgAd6b1EhtG60D0XTAY7OgfMMXcOzfhdipj8F9/Spsy2bjqtWOTVeKkJMYi235RZjWvL5/JLCsIPaBp2Desw07Pl8sXs0vOHNZpIiR2SUAnnXqInqnpwj3A0b/cvDJdN8v4TywC47dm/0u7+/fnBaeumRjl53Px4HrZahjMmB8o7piP7+SdYh/8q8oe/EZvx8zgeypnccFC+stAt7xjTNExG+wihl7H9yXzvvJJLiO9l50WaDV2YwWDQTbG1hyYqoA/mX/fTbo3kV2hwivoNSiRXIcnmnbCEk+gDnc86FG2GMxw/7VsmgeY9RrdDnt4Ox7F2AwCoaXdnN0YrDbIGQqfEYc5lJ0HsTG8P8zQMEjon9pe0X3hoOH3Lh1gIwP57hAjSvjbDu1516SeL1OQEX/29cqInA7tpWQ3aAKzN49Toede/wlBdQG7/zag5M+MoPbBupQZiZLXIXmyI56Y4wDb5pWWwSOMz8JDlTpl8t7CUxqC9yHaXHbd7lw8mzkmGHvsRzQoxSBSWu+lRCvxgsT5BO00raNg2NkxFm10ySMHl41zOd7LH2Hi4rp2iDBUV6VJMdnQg0zAS/1v75gl6zwtIk6HDvpDirFqFMLGNhXAQcLOSjnLeqhe3XV4oej/hdJW6h14CZ0QAO8N6GJ2hZaB6LqAMMlzpzw04oaB4yArnELmN9VbbeoZ2WEb7aPtRZ9am1utxgUM42dDo/LCdvij4TzwrwzlzGlST28duQ8WiXHCy/aBrFGMTCmo/cStbiTHoQ77xzsG7+ovMzPz+eL39+WWQubLl8XXrIEz6xVuVext6BUsL/352SKdXJyGkxTHxUyDG9xUO3xrYeFrRnDKA5cL8U/DpzB6z1bhfUBjn/q7yj71x8Bl4pWyDq/TrmFLOPpdo38bMUC+xozYhLIkIcDpvQu9t57VM8FgK5ZGxh6D4YlIMQj2uNDrVMa5cAzZDKkGJNg9DjZz7je8nIJLmGv64GiU6UOZBI53OZwAnMXuYSDAB0dqOdt30bBkpVOYb3FuFsv00uLLGpMB/aWK1/t052BIQt7DzDEArh3ks7PWzYpQcL4O/0ZTn5UHpmu4NWZ/gzl6GGK0Lx6tcC+9ylcInI9gnEOrIw6EoYOqm5tFriudzcFifHAirXh3Rt8j+NA2IYtbpwLEV3Meyao3bXXjfRaUmUEMhlcpsqFAug8BwEsAfPwwaoGmkNnBP2X86uDcTLpE+/kc3EL14jA4l5Ce73OJaKIjUagYQMJhcUQGuCxIxRk1GUs97f9lGnHax3QOhBNBzTAG02XtDVaB25CBzzFhTj20h+FFpev3b2+sEp2M5gm3A/7sjkoObBbSAF8ARutyV47cgE/b50lgKSx721QGreA5QM1YY3Ad/mFq7irUV28deQ8HmyZhTOlVuy4WoTutZNEQELMnfcAljLYVi0Sx5BpnHk8F2dLrSgud4iwB0ocWASM9OdNNRrws+b1KzXDtCozDh0Dyzv/qOwG3SPowUtrMnrUPt4qGx1rJYbtlq5JSxgHjoT5HTVko8CmAl8nh/Jk2U/GUA1EmOIR99AzKPv3H27CE/HZQtEj/pfPoeyl39zUfekwIY+6DzCqgJdSBpvdA4dDZXsJeRVFTV3zgl66NhB4csDp4GF69NIvVtWWUqv7/mwnHpmuw4dzVI0udaXpdWQs+0JlWqkRffcTpzgXB9moo523uApQUmvK9C+vewGPad9GRtOG/sNfBMYT7gw+1EVrsCEDZXwY4NXrbd59kxRhx0XQGKrEHhXMdbRNv+N2BXkX3di1NzwbTJDK4TD655KRrVtbwu1DFdGXaIoDhATNlJ9QYrLFh/Xm8W1aSOjS2d8+zbsvv7h4o47JGtNVYstOFwb2VnDhogdNG6nP8tBRt7CSIzDWSuuA1oHvvgMa4P3ue6ydQesAPFYLNr38d1w4f064GhDY9cuo0rdSzEmJQ1HueXz1wdsYWC9NODLQK5da3TSjHu3SEkXiV+0YPdLadobx1tEwv/F3wOXAwjOXUWB3CP0uNbWlHPg6ckHogHk+lnHYOEgGA2xLZlU+Ea4zKXIlwCab/NLBs6hrMuC+5pnVnpy+XRfo2nWB9ZPXK39HwM0oZA6t0QItmhJMrc0K+5eLo1nut0ZYpsk62L+YX+Njwx0QO/VxlO/bBueB3TdtXw7E6cY/BMloEnIFDpyVOzxwOiWh4SVLTocDSaJmVwW91Oe+8b7K5q5a6xIxttSlku1t01IRGtJJY1W7MpZgdC+4sXe/p5qP7cihMq5crUpb43q+gl+32Z+VVFlTD875MJWD+/E1PoRsIrAmjtGJsIpgut5bOsioX0/GkhXhwSWDMD78VAXt0RSH0ahz/qIGbDD3JfilA8S7Pt6+0ZxvYB/VNcIbMuE9hp7CjBIOZtHGNUMGKCJRb+EyNT2QLDntz+YudgoHDvoKT7xTJ5hmWscN7q9oet5oHmCf1HIAACAASURBVIi2RuvAt+yABni/ZQO1w7UOROyAwwHHgd3YOedDONwe7LxWjK61kpBrsQmwOTSzNqiHJeNrHHA7pEY5WPLcbwQ7uzy3ALE6GXdkpwsWt36sUWhUKT+QU2ojdsb/wPbZx3CeOCQug/vQ0uvVw+cxrVl9Ye3lW5RQyLXrwjpvZuWPT5VYhAa4fVoCXvjmDLLjYzA1RFQuDzL0GQKlVkbEyOBIfaGThPWjV+AuvBZpqf/vycb+6jmU/ePmsrGGrv0hZzWCbcHNsyeTk9JguPcJyAajAD9kXakFdTjIsqv/I7tLwMtX26qeF3j3Y2clU3vH7Sq4rJUCxMZJOHHSXenFy8Y8dJ+u0garc3sJmfVU+QPLl+3lnzmwRSmCL9NJQEjHB2qEvUXQ/cA9Vbpg3wfA1/KMMWYIRWCRxZ4+JfIA2sihHOKCiOWNptq0UKOBQ4HMUHvw3oYPlvHe7OjO492Hg2VpKZKf7pa/I+PNsItAz1/f89P7lywvPXu373aDuuLkREmwu96i1OGDT53iM0EwTicMTdoQzSdBW6N14MY7oAHeG++ddqTWgag64Cm8Bue5k7CvWiTkAgcKy0CQSQkCGdsNl66LxLFudZLFfkLiMP5nsK+YB+uB3diRXyzcG06VWtC3bqpIUWuSYILd5caAemmIvf9JOE8eRvn6FSKNjRZl9zarJwbSgpWh+wAoTVrBOus18Wu7yyWArtnpEnKEQLuyYHuYRkyC22aG/culUfUg2CIlIwsxd04NaTUWbuOY/rcDSSmwLfnkhs8feKBcq66Qlphf+8tN21MyxSP24d9C0usEyC13qk4MTgdtyTi4hkpPVjo2EPTQR5iDad4UtBlTFREg0ae7gvN5HHSDkCQw4pdMItlWL9t712gFx0+q2tPMDEnYmH001z+il8d8sbaKtWWyGoMwfF/b04aMIG1FRWyxb0PumajDhs2uoBpaygBy89zY801oyUGrHFm4J8xfHJ28oH4G3RP8AXk0D4iSCa8ExHc9B8ZExHOxR8QER1MMBpk6XsHGbS4cOup/DFlnsvXeSOUBfWTsP+jG0EE6bNyq6ndZ9E+m/zIZe7LaO7+uega0keOXDK20Dmgd+O46oAHe76632s5aB0SammXOO9C37wIluymsc2fCU1KIrVcKRdhCo7gYXLM7RDiEX0mKGBJDUQGsS2fhfJkVx4styLfa0SM9Gekmoxj2Sjbq0SI5HjGjpwB6A2wL3hOBC4RTXWurADpY6dt3g75TT1je/7f4NWN5/7rvNMY1TBfSiWjKNPlhuI7tR3mIMIho9jAOGg0pLg62pbOjWe63Ju6pv8P8r98DruiAUzQniHv8T7DNeRuuq5eiWR55jaJH3K+eh9ujJnMxtcvloqRBtZMjUKL5MmWckgC7ZH0lrPrKhTtul/HeLJfQeb7yjlMMn3253oUO7SRhcbVzjwfNGkvCb/bTRWoPvH69ThfQtwcDLapCGvj7n03RYfkqt0hnYxE8U1rA/X0rlAtCi6aS0PvO9dEEe49j2EPvbjI+CeLX613jTSGjxVo0xQE0sqEc1KtJMTRCOFsE0RgTCFNmQGlIqME3MrT05CVDSw/fW/vLmL2weqxyVqaEQX0VoRXmkByrbw9ZhHmQvR0xVCekKOs3q9IUssZ0dAgE2vUy1IE6Ju9ppXVA68B30wEN8H43fdV21ToAT7ld6EHtXy4R3ZAzG8E09l44D31d+bO5py9hTMN0Pwuyi2ab8Mllypix/3AozVrB8s5LwrrM4nLjus0hktGYmDa0fppwVGCQRHq/odC37gjLu/+Mqvu6nLYw9BsGy9vq8BhDHxadvYIpTetFdTwXxT7wDMpXLRQM9o1W3MO/hW35XLjOn6rRFoKpbtAY1vnv1ui4cItjbp8g9NY3054s7qkX4HBJApc7XaqtldtFfwZV0kDoyxAKDi8R+NrtHsH+9evFWFwnxo9WY3m9nrb03F27wYPci24w5Ywg+atNbtSrGCT7oALk3TtRwdpNqjcvK722JJLbfH12O7RRk8q8EcRcp6aXyVj4eXWQOeMeHRZ97hKv6wOLaW4cjqMNWKiinzA9e5mCFk2R+fx4vgtlZdGt554NMiQM6q8IyYBvsb9kd6mZPnXWjdHDdFi1zolrBf5XQo0tJRubt7uEHRmT5wLlG2Tie3RRAezeA24hSdi4VQW8ZMdPnVFdGag7pjUbexaphg1SpQ3UemuldUDrwM3vgAZ4b35PtR21DogOuC5dwPqXnhcDar7OBcbh40VksHX2mzCXlCBW7z/oRYeFzZevV+polaymME2cIUCh7cBuLDh7RQRVjMquIzS6889cRq86yagXFwNd45YwjpwIy8x/wmNWQybClS67KYwjJn6r1/hxv/orLK//DR6bOdLpgv5eTq6FmKmPwvLKn2t8fNyv/gLL2/+Ap6y4xscGO0DXrDX0vYfAWsF834xN2R+bSydArgC7HtX6yuOGiIuWIImfSfyhBJSWAqfOudGmpYztu9zo20sWrCzlCtTeUpfrZWTpp7vra4+I7e3aSUF6LWDZakodJGFd5hvMQADNoThf/ek9ExUxwHbBx+JrxlSdCKS4WuAPMhnq0KghsHh59SG2Pj0UMYxF1jRU9e2hIDY2+qGzu8epXsGME462KBugpOAjHz2y99j+vTjA54HdDpGUlpxE/awOW3aow2Vke1OTgS6d2BMX6CMMj4Slq6oDfwZUEPQT7PK+ef/ee6drBllkDihyHw6/UWJy6Upw0M5nQgcJWtLxmgx6zbYh2uetrdM6UJMOaIC3Jt3S1modiLIDZAm//PffYL58SaSHTW6SIVwXvEWdbszYaTj/1RfYv3KpsCkj5UcW6oMTebi7ST1cMNvwTUEJOtVKRMOEeMROewzuwuuwLf1EhBbQTux4iQWKJKFL7aTKveWEZMTOeBL21Z/BcXBPxCtWGK07+SGUvfyniGuDLZCMsYh79Lcoo7zgBsvQczCU+lmwzn+vRjtQlqFr0R7W2W/U6LiQixmy8T/P39SBuNjHn4UVJng8KrClHZk3upbyBcHwelSGl64N+fmMGHYLW61zFzxo0VS1serRhVZfLr+YYN8ks/F36HDoqKoxbddKQtPGsh+zSAZ2/hI3rhepAFL1yvVnQimR6NxexpzPqgPXwAE4bw8DdcTBestX9rf2U4SVWjTF5DL6D2/dFT3YZdQwQe2HIaJ9GZLhy7RSgmE2qx7H23a5EGsC2rVWsGm7C3ffpcPhY56QQ3Vev17eC///hDvVQBDR13QJKckQx0eqNi0lwQJTOrHnGzcaN6RVmyZtiNQ37fdaB26kAxrgvZGuacdoHQjXAZcLzlNHMPvf/0BWfAyOFJYhO8GEMocLHdISkWEyVHrbxoycDHdyGla8+DxaJhqx8Gw+htRPQ4O4GHxy8qIYIFuZd61ykMzYbxiUZm1gmfkP7Mgvwp6CEjzSUo0gDqzYab+A6+I52NdEtv4SIPnBp1H2n2cBZ0B8VRRPW65dD6bx98H82l+jWB18Sex9v4Rjx3o4Du+t0R5Cdzv3HbjyL9bouFCLaQ/n+GYnHPt33pT9Yh78DWy6FCFcILCl1ZwoSYLHpXrxujxuMaxGMHzmHETCmsPhgcMpIS7WI5wBGDBBJpeOBfOWuKpZkFG/++pMdfL/rlGKcBggs8jiABu1pr5gkK/Qi0v8QSUHs7bs9OD0WX+g2b0zrbhkfL66OmBliMWhwx6hWw1VocBysPU9u8hISZGw3CcKOdKDYLJcv56S34Aej2HcL53yOFA2YqiqtT17Xu0/fY59/YkpJaCLxbhRCj773IW8y5EBq/e6JtyhiAG/0rJIV6r+nlpmxj+T5Z+/1P/LBSUsddOj20dbpXVA60D0HdAAb/S90lZqHYiqA2R3zf9lIplbBEBYnU4cLbYIre6RwlLMP3MFv27fuJLxVZq0FGyvc9tXKF6/EieKLThaVIYhmbXE2tFZtXHV5sChojKMa1QXDIAwTXxAuDic3r4ZdU1G6H3YY9+LjBk+HlJiCqxz3op47ZLegLhfPi8kAu6iGlqFMa2saWsY+w6B+T11EK6mJcVUMMX/rBlTrGvdCYbOvWD56JWanjLoekPXflAaNoV13s3RBhvvexLWmNpCriBUC+KfKqOrgl+CYF6KCrD4mrxZYzUtjQ4FfA2fkgSYreqQGaf5v9zgRvvWEpo0Ullc1ZFBwUdznWJf76Cb9wYH95XhcEEklAkgKAMPT1cBsrdEYhv3CGBhQw228biWzWS04xDbZ6GZWw6IXbzsqRzqCveQWjST0aEtXSoia169+zTMktGnu4SP5/kfw8E1stUJCRL27FPdEqjb5dAYwS2HCH0T5MiKd+6gBnvUtLp1VocSgyXSBe7Fa+rSSRYODsFY4LhYCdMmKpqWt6YPQVuvdSBCBzTAq31EtA7cxA547DY4j3wDfdvOcGxbD/uW1XC43WIYjHHBtBJLNxnQPDEOMqeNfCrmzmmQEpNg/fC/AvCeLbOJ3zL+d/2lAtSJMaJerBHbrxajd3oK6tz/BJjeZl0c3ppL37k39J17Vg6nRbrduCf+DPuiD+E8fzrS0mq/N3TuDaV5K1g/fbvGx/IAfYce0LftBMvHqmVatBX70K9hX7EArvM3PjznPZeclg7TpBkwv3pz7MmMdz8Oc0JmhRuDJNwYiHD5/MnoqsNqFRNr8AhNLYemaBNGtpOv27t1VrDnG3XS/+hxDw4ccQtpw7UKr9cet6is6Io1LjH4xONmLagCgIEhDx3bKmiYDcFkeouv/E+dceObQ/7MZt+eMox6CWs2BJc5cKCuPMRLAeqQWzSTsCCAxQz2XBn9S9aTzhTRViM6Q3SXq4FdHs9ADmqRmzeV0KebgtXrXUJHy7AHMrGMTPYWbc+Sk2QsWFpzsMs96LVLWQOH2xguEaySEiXcPkSGxSph8fLw5+HgW4e2smCntdI6oHXg5nRAA7w3p4/aLloHRAc8RQUwv/UCJL0RMSMnQU6tBduyT+G6kid+//GJvGqhDtTpWpxuYTemy2mHmDumwLFhJezb1yHPbMNlqx0Xymy4o2G6AM8cWFt24arQBRv7DoMupw3MPnG/wR4F3Qzo7Wv54GW4C/IjPq24h36D8o1f1FhewI2Ng0YBpljYP58T8TzBFsROfgjO44dRvntj1Mdz2MzQdygs7/4r6mPCLYx77A+wzXv3psgkDHfdD2ut5qoFA4fU6LdLOQM8lR68BL3iC5AHWPi5C3eNVITedvwdkgCu1JTSFmvSWB3mLnKhqMSjWoytduNyvlt48X5z0I0jx93Cs5b2Z17XAAZF9OouY5aPXRgtztZupIODyvgGC6Tgz/nqnWwjk98CiwlhDNFYvzm4lIHetRw8eysKCzIObj0wLXjQRajnRHeJnt0UfDIvOHhk4hvZcTLXx0+5MW6UDmcveLB6navCHUPdeeIYBVfy1QEz36IOl+x2cSmEh3KkIpCmIwZ7H1jdb5FFxDO/zJw8HZ0umZprOj1opXVA68DN6YAGeG9OH7VdtA4IOyv64Lounq/sho7DaSMnwXnxHGyLPsQVix3psf7/Fdt46bpwWMiINSK3zIqc5HiY7poOyRQLy8evYk3uNSQadEjQ65BnsaHc7UGGySiG2VhC4jDpQdhWzAsbi0vJQOwDT6F80xo49m6N+MTipv8Sjv17agQ8vZvG3HkPPNfyYd/0RcTzVF8gIf6ZF1D2wtM1OtY0/Zdwbl0Lx9H9NTou2GLGMJO2tK9VLeVqXIoeckISpIQk6PoOhT0lW4Bbr/1YBbYVPyPYFc+xInhizmdOET1Lr1qmnb03S/XgZRLaPRNkvPmBC/Sn5c8IRAMlDPdP1eGz5VXWYYFaXQ5VDRmoiFhfbw0bXKHn3ekPxhhKYbECm7b5g8HaacDI29RrC1VqXLE7pNet73EEuwuXulBQGJ1uluCyO1nsMJ6/3J8s7+erXIKBbVBfFhpo3g+LThbULNPSjV8UAovuC2NH6oRbBZnzG6naaSqrW1CgumeEKgJbAnTanJ084xZSh+wGEvjs6AmsldYBrQPfvgMa4P32PdR20DogmDvn4b3Y8/E7OFViFa4LST6xvoZet0LfpTeOfDYXl3dvRZdaSSLO1+HxYMuVIqHvnXn0ggigIKPLRDU9tanDxqF83XLYd23CkvP5aJ4Ui9YpCUE7HnvP43CXFMG2+OOwTyT27kfgKrwmNMCRyjTpIbhyz6L8BoArh+YcezZH5RQReB36nHbQ9xxUGYwR6ToFYMxqAuNtd8Hy9gvRLA+7hkl0xn5DYQmjR5YTUyBnNIBSOx1SbAIQnwA5MRkcACQ1Rx9md1kpJFlGqb428i55fXfVU3sHqqjJpXtDjNEjgiIUAYI9IpVNkSVcu+5G3doSjp70oFkTSVhu+bK2woqrt6rfrZUqYdQwxQ+I+oZR8Ly3DZJRUoJKBwQRBjFRwZsBLG5KkoSxoxTM/Lg6qJ06QYfN2904cy44W0nnAaPBg9XrI7OZZFj3H/LgcJihN9+H1bSRBGpmfSUboR5ml44y6BDBgA/asdEqjMU9aBf28Txn5c8C92Asca9uMopLwkcJ8zhf1wbvPpSC8Dyr16meyaGKnr6Txuhw8Kgb+Vc94pyUXlDSwhhoPl/vl6Jv/cHWNtA68BPugAZ4f8IPX7v1m9cBj9OJz3/9OCw2Gy5b7OhXNxkXzHZ0rpUk2FmWHJsAI9levQG73n0NLRQn5p+9gjbJ8WidEi/8dOnqQN/ePIsdOQS3tVJhGjddoCPrrNdxqLAMjRNMMIUQ9xn73ga5eVtYZ/4j7M0Zh4yBUicDlk8ia2VNY6bBYy6FbdWiGjcs/vE/wjJ3Jtw34KAgWOLr12DfsCLq88ZOeRSOA7vh+GZH1McEXSgriH/ybyh78ZnKXzMKWa6fBV3D5pDrZamItawE7qJCuK9dhutyLtx550SAhuvCGaDcLo6NmfwQTrWYjH+/ET1LSFavViotrmTUrQPUrQs0aiAjOVmCzeYRp+ar82073eKVPQedVq51oWtHBenpELHDXmB3S0el0jKLw1p8Vf7au1Ugtj/9eQ3AmnX+1yeGzS4Bu/b5/5za0ibZkpBeBCsx/EYvXJ9I41APg8wygxm88otID42Av0sHRcg7oq20VAjQynQ7FvXNtCSbvTD49VPK0LI5gS5BuAfjRitCLhIqhpjsMXtIP9/rRQCH5W6/VRHMNuUTkYqMOzW7C5epa/nsKWFZu9ElrNkY1qHFDkfqovZ7rQORO6AB3sg90lZoHQjfAZcLjq+3Yv+iT1HicOFgYakAraOy6mDLlUJcsZXjjqw6lYwv9aYxwyfAeeaoiNRlrO+my4VC0rDnWgmaJ8ai2OFCVlwM6pgMSDboYOrYE4aBI+BYtwzl+8KDOaVBE5gmPyiGuBwHQltr6dt1g6HXIJjf+FvEJ2wcNh6SQQ/bklkR1wYuiH/6BZS9+OtKF4KabMBgCetbL8IdRYgG95XTM2EaOw3m12/cHs17fXHTfwVXWQnoXsGgEHdRAZwnDsOxdxvcxw74SVfC3ZNx9N243ON+/PXlmtx56LUMJ+DwWuf2EuqmyyKwgMWBs/r1JOzeWwXOGFd76bIbu/apUgExrNbAg89WqIxjMEcH/pzs5tBB1aN5CbSZfubr7hB4pXSIYOBFJN1r185qQMOSFZFBIc+R00RG5w5qxO+N1uhhMhxOGSvWBN8jNQWC+aXbAjXItDEjoL1rFBPmnCK0wqZ+jxFFaUWrHBnrt6iWZNRP01lj+Ro3rgUEd3iPyc6U0KaV6sm9dadLSLtHD9f5uUM0bSyhS0cFny504tZ+MnKaySATrJXWAa0DN94BDfDeeO+0I7UOiA54ykrhOnNMaGhZtCLbW1CCQRmp4H/K110sEBZj1OD6lrH/7dC1uwXlHFDbuwPnzFYk6BRxDIfUyOIaFRkHr5ciK96EzvXTYRo/HR6HMyqbMfrJusuKYfsstMRBrpsJrrPNfgPOvHNhn6hx4AjIterCOm9mjZ48X/FTX2u+gWALkQQ3bCzMb0YvU+BwnvPcKeHpW9OiQwNtznStOgAxJrgvnIFj10aUr1kCT1nk5Lpg5zMMvRMlQx7G71/S1/Ryol7PyNzB/WVk1ZcRH+fByTMSzpxz4bZBSmUqGzej7vfL9S7kVjgUUDdary6w9Av/V+7jR6uetYeP+2tq6QxBne22EIEQfAV/IQ/CUSJcNWkkocctSrXI3lDHtGgqoWN7GZ+GYGUjNYoMKZnS/Ydc2F0B/oMdQ6aVsoKTZ/zvm8CWspHLVz1CE0zgT3cIAuAde9xCdkBW98gJd8ghPp6Pg2sEs15mPqcppRlOcW1kiJkA561pE3VYvsaJ4mJ1oI/n1ErrgNaBG++ABnhvvHfakVoHxPh2+aZVkJJSoWvTCc69W2Hf8AWuWO04VmQW/xydne6XskYG+FSJBQMyUpFcp64YauP0knXuTJjLyrDsfD7MThcG1k0Vk/uHC8uEz25mXAzSYwyo07M/DH2GComB88i+sE+B63Qt2sHyzkuhGVZFh9gHnhHXXr59Xfj9egyE0qQFrJ+8XqOnr9RviJiRE2F+8+81Oo6LqculxYH9i/lRHSun1hbJceZXn49ufXom9O27QGnWWrgkuI4fhH3tUjh3b47q+EiL9H2HonzsE3jq7zGRlt6U36fXBm7tLwsWWKeTcD7XjeMnPUInzJ9z+M1bD92nw+wFTpSUVp2aw1J9ulcHo2p4BZPMgoNZgrnmjUNLHbxn4GDWnSNlzPwoOmaXtmYd2lbJMmrapHp1Zdx5u4yFS924fDX4cJrDCQFeeQ/ptaXK+GUOkw0doGDpFy4Ri2yxqGfnz6i5pbXZ8FsV4ZNMCzRzxe9DXSNB7OIVTiGxYHHAkBrp5k2oS1alGvTzZTG+mC4alFL07amI9DyN5a3p09fWax2o6oAGeLVPg9aBb9MBux1l//mD2EGKjYdxyJ1C3+nY+hUc+7bhbKkF9WJj/AAv15aUO7H2YgEG1UtDvF6BsWJAzX1oLywr58Hl8WDh2SsiaOLz81cxKrsOjhebsS2/SI0pjk8UNmMeizki4ypnNkbs3Q+hfOVClO8PLYcwjb8fsNtgXRLe19fQoTt0nXrC8l7NLMD0rTpC36UPLB/+t8Ydj3v8j7DNew+uK7lRHRtzx1R4CgvC6n8NPQZBad4WktEI58HdsK9eAtexb+/wEHiB+i59gWnP4Bd/jY3q2m/morhYYFA/GfTppTaU7CUHyQiqWjaXQJ/c+Uv8gSedC6ippQbVt+6fosPSVS6xR2DR8WDSGEVIGcJVKAlFqGN4je1bB486jqZPHdpIaNemepgGjyV4JGvLHtVKk/DFWpewMZsyTiekBidOe5CWAvTqpgLewGrWWBYDgHv2e7B1R3DwnpUpCXnIzq9VoN21kyz0wEx+69hWFp7JZHWPnXCDNm/08GV8NNncCXfosGa9E1cL1DNz+FAbXovmqWtrtA4E74AGeLVPhtaBG+2A3Y6ry+bgxM5taJuaUBkXzNf+MbeNgWSKw8lFs5F79DBuqZUofs844BKHE0yUjdcpsLpcAvyObVRXXEXM0LFg8pr9q6Uo+GYP1l66jobxMWiYEIv1FwuEf+vo7DqV5zJ07Q999/4oXzkfjhOHwt6Jacqj8JhLwkocDP2HQ2nYDNYPwgtOdc3bgmtr6ohg6DkIcr1sYd9Wk1JqZyBmwv1Rs7ZSfCLi7n8SZf/5o99pqMc19L0N+g7d4Mo9A8ubL8J1+mhNLqXGa3VtOkP32PN47M+mGh97Mw9onSNjzEgZiYnA5Sse1M+QRWKbr4NATlMJBIlzFwdEC9+ioFYaxOv8YHXvJAVfbgjvRsDjCJo/XxWcaQ3cl9rYtq0kzP0sOiY48PghAxTQWoxJdMGKcg6nC9h3wC3YcDo6kO0mqztiqA4WixoKQncHLyPLfTj4R/lCrAki4tnLyAY7B1laOjXMXexEYVHVivQ61OjKOHJMlUPwz4uWucBrrl1LTd7bd9AtwLG3eL3UPWthFDfz3wptr59SBzTA+1N62tq93tQOkF1d9bsnkGLUC4nCiAa1RTgsraRYCj14h9wJW1kpNr77Bjrondh1rVi8Wu5bN0UwuBMaZ2D+6UsY1zhDDK8xiS2lfpZ4/c93rJZZr6PY7sCaiwVC00vgnG7y9/FldDCdHMhoWhd9EPYeDb2HgEyr+W26OAS3StK37Aj9oBGwvMrBr9B2SjragI2cDPNr0UkHvBcWQ49bBmisWlij52HoNxxKWm1YF30Y1XGMVfY4HLCv+UxYhdHmTNeqI5wnDsH21t/huqyGgXzXJaKjf/MvPPyH70fSEOl++Gp++mQZDG4oKJKwdacbBddV1nbGVL5ydwnvWW8R2N0zQfUFDlb9e8nQ6SWhDQ5X4+7Q4dgJl7Agi1StW8ho3ULCvMU3BnYn36Xg4kVg/dbQx3dqJwvJQEZdGXRm4JAdfXPJ9FLiQK/jQIkCr2tAbxnbd3uwO8C9Itg9jRjKUAuPcG5YsjL4tRBUU1rywWzVIi0mRr2WYED64ekK9Dr/hMZIvdR+r3VA64DaAQ3wap8ErQM30oFyO7756G2cP7APl6zlaJpgwpFis2Bte9RJQr7NgQ5pajCEvnVnGAaNhOdKnrDoKhFRTB4hT2gQZ0JemRU6nYIjRWUCCF+3O9AyOR71u/eFYegYOHdtxvnl84XdWbuKPYNdsr7HYBg694Bt2Ry4zp0IeVdyZiMwzcy+alFI+y4Ob8X+7Fewzn9PDOSFKrl2XcTe/TDK/vOnGnXRNGEGXGeOo3znhhodFzvjKdjXLYfr5OHIxxmMiH/8T3CdPAK5YRM4D++D5c0XRBre91ly/WzEPf8WHvzdjy82a/Rwldm02yXkXXQhK0sWTKNvjR2hiDCEwMhhrsmqL6FfbwUflA9mjQAAIABJREFUzw0vZbi1vyLSzWi1FanaMo64OaUWNXdjoHcw091Wr3OLdLVIRSBKdpcgl3ZqPbqoVghksr2evfwzwS9ZX/57GygBCXcOWprxCwR7uG23G+cuqGDfZAJcTtVajgwvfYsZSxypqDHu053a7Egrtd9rHdA6ENgBDfBqnwmtAzfQAY+5DKWv/Bm7rxVj59VidEpLFDZiaTEGnC6xYHN+ER7IyayUHvAU+q79hAzAdWgvbMvn4FixGaUOJ8wO1ZroktUuGF+Px4N3juUKxpgJbDEjJkHOzEb5F4vgPHs87NXKKbURM2463FcuwrYkQgDF1EfhKSuD9bPQjGnsjKfhPLo/bPAEE8ViH/y1Cnqd5VF3M3bGk3CsWwFHNOC1YlcpPgmx9/8PzAFShWonVfQw3joaZKGdZ47B8upfbthlIeobCrFQSq2NhH/PxgO//vGiFEodendTcPGyBxu2uITGlEV3gq6dVXusYEVdKT19CWZDVaf2Mho1iDzMxuMJPnOaSJi/NDIwDjwfB7843MUAjvIoP4aUcDRvIuPz1S4xJLZtlwtlZv+dqbXtfoskgjYOHInMTvsezSho9o7AemBfBcdPusWXB/r88rwlpep+1O36Dg4G6yWZ4C6dJLRtqeqOtdI6oHWgZh3QAG/N+qWt1jogQhgkQ4xIELOvXgSn2y38dxkR3CwpFl8XlGJS47rQ+YxUU7tbP9aIzHgTjINGQd++Kxx7t8O+7nPR0eUXrqKWUY9WyfFYnnsVveskY39hmQDC1AdnN2sO44hJ8JQUwjrn7YhPwdhvGKgdZeqaK4zdGCUOutYdYaHEwRMctTAAghM+toWh5RLUxsb98nmxj7voWsTr8y6Ie+I5kWbG+4q2DF37QWmcE7IP1DQbeg+FY+dGWF7/G2CvyJKN9gQ3e50pDkkzl2HGkz/+V9HU4rZqzlQ3t7DvoufuR/OcMAeAQLZozAgFZ8978PX+0GiXiXBkLz+MwABzPw6nMVhiwQ2A3T49FOF/O2dRZJbU9/EqMsDwi7RUDpa5cMTHho2DeCOGyILpZVTzjdTEMTpxTQTWg/qqYRQrv3SJLwj0U6YGqiiC2x2vkcxzx3ayAMtX8oHut2gs7408D+2Yn3YHNMD7037+2t3fSAfsNpjffhGGPkNE/K/z2AHYls+t3GnRmcsYUzGExh9et5VjS34R0k0Gob/NjjdBiomFcegYKJmNUL5tLay7NwuAPPf0JdyRXQdHi8xiQK1RgglbrxQJH1+WoUtf6PvdBueODbBvWhX26jk8RycH94XTsC77NORauX5DIUsgeHeECLVgNLIup21EZ4b4J54TOmLX+dNRdVYA5V88i7KXfhvVeu8i09TH4Ny/y0+SIaKF+w6D8+wJWF59LrgIskZnuUmLJQlJczZixhM1A2M36ew13sagBx5/QIfM+hJy89xYEyQeuEMb1WEgHBBMSpQw8c7Izg28QO7XpDGtw2reoztHKLBZmTRX82NDNYcWYe1aA+s3e3DidHVAT0mBN7ktXIPvm6xDaZlHhFAwOnnkbTohXaAFWqSibTeBbfs2BLoeIbtgEQA/ev+P921BpPvSfq914IfqgAZ4f6jOa+f9/7MD5XYUr2Ha2TY13tcQA0PvW2G4pRecxw6KJLILZRY0iK+ayL9qK8eB66XQyxLapSRg9ulLwpu3XqwR1Moah94JOT4Jtq8+h+uk6rSw/Hw+bs+qg0Vnr2BwvVQkEoVUFEEiI4qVWukiqY2RtuEqZtBIyM3bwL7gA7iuXgq5lLG8bksZbCGGwnRNW8M4fJxgcT22IJRfxc6xD/8W5etXRPQI9l6I8M29+yGYX6nB8BuB8s+fhfmfKlDmgBqHBMteeBquCG4VP8QHL2n2Ojzxh+pDUD/EtUR7zoaZwLS7VbeCVV9VgT4C2fF3KHjno/AAk3KHN95zCieEcEXJAAfoQkUVhzqWbgpTJyj4el94ljna++W6WqkSht8qC0eFZSEcKbhu1DAFu752C/uw3IuhZQ4ccKPTAiOHWdTrXrriCQuWjQaV0aVl3IlTwKp11ftMCzOGcWi+vDV5utran3oHNMD7U/8EaPdfsw643VjyyxnIt5ZjeINaOF1qRUcOksmKCnx7DETh/t3Y/NG7qKOT0DolHh+eyMNtmbWw7tJ1TGhUFx+dvIhpzepjX0EJCIZ71klGYpMc4eErXAWWz0XuubPYd70U2fExaJ2SEPQalaymIrTCdekCbBHcGZioRicH14nDsH2xIOQ98x70rTrB/O4/1amagJITUyAGx2iDdnhvyH2YrObcvxuO3Zui6q+uUXMYBo2CZSYDMqIrfdsu0HfrBzkuHo6De2F+8ZnoDvwBViV+sArPvmzAxcs/wMm/5SnvvkvBLR1lfLXRJV7JT79bwaq1HuRdDi1lYKLb2k0uXAjw8g28FOp7GbVbU8kAQzBGDlPEAFmoCN+a3jaT0xic8eVGjwjrCFXU0jJxri5jkVcG9yWu6bm5noNxPbsoyGkmiYE7WsaFKvoDjxmpwBTz45fJ3EgvtGO0DnwXHdAA73fRVW3P/5sdcLtwfcMarFs0F0XlTsTqFHSvnYQ910rQKiVexP+y6DWr7zEIRccOQVm3DKXXC7C/sFSkpF2w2MVwW7OkOMHeEgivybuGtikJUCSgSdeeMA4eDffVS8IhIRjoDGyuvudgGLr1g2PzlyjfFd71gKCa4JKpbu4QbgVC4jD5IZR/uQTle7cFfZax9z4Bd+4Z2L5cEhr0Tn5YeN2Wb/wiqs+DvkN3IRGhFVs0ZRg4EvrGObB89Aoc28InxEWz33e5JvGtJfjnrEQcC22e8V2e/lvvnZoC/PaXepSVAQXFLmzYHJrVvPN2BbkXgV17w1O7ndvLyMqkPjaym4LvDXRqS/ZTwkfzbkxXG9iMjHSV1c29BKyqkA2EA7v0yG2UJWFAHwUr1rhwOb9mg2yBe3MArUdX+vVCpKqt2xRdP+gAwVQ4jeX91h9vbYOfSAc0wPsTedDabX77DnhKi+G6kgf7miW4cOkSzpdZkWzQI89iw631VY0ta8+1YjF8lti9HzgU5s6/iPJVi1B06SK+yLsmfnei2IxUo15YmTE5Lc9sw4kSi2CLGSHMdC7jgNvhOLIP9jD6W+85JVM8TKMnA7HxsC36KOzgGAGtYHsPfQ3bmsUhGxNJ4kD3CCkuHta574TeY+y9cJWVCAu0aMrYfzjk5DRYF4d2mGCohGncz+C+no+yPz4azbY/+JqEl+fg3dXp2Pn1D34p3+oCfjZFRqscRQyWmS3Vgd7APgp0Oo+wBQtXtELLrCfjs+U1090OHSgLVpNWXzej6MxQPwNYudaD/CCxw95z0Bv31n4KUpIlIdFYuMwpQC9dJSJ5BROQBnOxSIgDenZVkJ0FHD8pYf2WmvWCDhocCIyPvxmd0PbQOvB/vwMa4P2//4y1O7wZHfB4hJ+r+3IudF37wl2Qj/JtX8F+/CCOFJmFk4K31uRew4B6qcKurFaMAW0GDIau1xB4Cq+inDrdi+ex7mIB4vQKcs12DK2fhoOFZSK84o6G6YI59pZxwAjoO/VQHR2+WhbxTqizjRkxAc7Tx2BbOivseupxlfqNYJv9Jtzm4KPiYlitTWdVahBE4mDo2he6Dt1hefvFkOeKuX0CJL0e1sXhI4srwcWou8EvF14HC9+NVR3xXbAt+CCqLwIRG/Y9LYh/8X3M39MIazd+Ozbwe7rcsKehF+yMe2Ss3ejGmXNV99OulSxex0fyqe3SSUa9CjlATe5nyngdzp13Y9P26BjQcHsz8nf4YAXHT3nw1abI4JkBEgePuIUrRVIiKpPXOJS394BbMLPBioN9TEhb9VWV7VhiAtCrqwJew5HjbmzcduP3M+MeTdZQk8+Qtvan3QEN8P60n79299F2wG6Fdc5MuC5fEEdQ56rvORCSrODYlyuBAzsFM3u4sAzXqMtNTxZA+IrVDkWS0DgxFk179IG+zxDhfVu+YSUuHz0oUtnePHIBP8vJrJag5r00yWgSg23U7JZvXxeVLpbssK5dV9g5PPbNjpB3qWQ3RcyYaXDuo0Xa8qDrGAUcO+UR2NcshiOIxEFXsYfl/f+ElEkYB46ExCG7eTOj6njslMfgOLjLzzWCVmtyg8Yoe+7nIlXu/6eK+/PrWHmuNZauvHFw82O739/9SofrRR5s2eEWoQ2D+8r4YE548Ni1kwJKCJasjJ7NpGXY5LGqfODU2W//heG2QQpqpQJLvwjtfWswqG4I3vCJ6XfrMGtBdXcF3svtQxShVT5wxC18jFlpqUCvbgquF3qw82u38AVOSVIZ3XoZEg4fdWPLzm//WejcXmWZE+I1Le+P7d8P7Xp+fB3QAO+P75loV/Qj7IA77xy+eOl52JxuMYiWbNQjTqcIWzF99wFwpNaB7fhBFK1cKEDuzmsluK1+LcHcDq6Xhi35qs9sqtGA9j16geDNXW5H+abVKDryDTZdLsTQ+rUqY4mDtYChErQykxKT1bSxEwfDdkpOTIVx1CRA0cE2d2ZYZ4WYUXeDqWnUw8IR3LU/9u5H4LFZYA3ix0tJRewDTwkg79i3Peh1GXsMgty0JawfvxrVE457+HewL50NZ94ZGMfcC8/1a7BUuDJEtcGPaFHsMy9ik7kbPl347UHOj+i28PgMBcmJEjIygDffDw92u3WWheaUQDPaatFMRs+uMj74NHy4RTT7UQJAz919B9zYvCP4c6D8oE8PGf+PvesAj6s4t+e2rerNtiRLtmy5917ABQw2zfROCh0SQgop8BIggYTAI0CSF1pIgNBL6GAbMO4V925ZttV710pbb3nfP3dlq1rSWjIqM3z7rbR779yZM9fo7Nkz50+IE0A5vERW9x3UQQpvfoGB3fvN88jTPG0SVXTTMCRFAG1kI7WbNp5RwoLNJmDjVo0pwbTBjIhuQjxwKMPApm1ddw9QdNntP5Ag0wYA3jgCHIFTIsAJL79BOALtIaCq2PDCX+HLOoIDVS4Mi3AiwiIj2+Vh1dAUSQSlF1BigDJlDiuZ6129DLlZx1g1NdJ8aMPaURd5fmXEWhVWgW3KzFmwzFvC/lj6Nq2GerBjBk8qDWw7/3JWKMLzxXswSgtPOQNlzGQWJ6bu3wXvivfbPFZJHwPrZd9DYMuaNjN+LXMWQZkwHfUvUYpDS2Jsv+nHMCpK4F3eehKEZdIsyFPmtJvn2zDIsF/9GXptNXyfvMXSK3prc9zzO+ywn4d/v9F1ZKenYHHT1RIobYFIaVuN8mRJVf38q47Pf94cEYMSRLz7ccfV4NauT0otqbBOp4D3Pz51TBqRVU0DI7qk0l57mYzX31MR5hRwyWKJjYVI7Kh0AUmDyNbRlLzTPPMKDBQUGYiPNTejxcWC2SG+3XH66nRr81u8UELaUAFEfnnjCHAE2kaAE15+d3AE2kGAosI8772E/IzDOFpbD7dmYFJMOA5U1+GcQTGMvGa5PDjucmNcdBgGz1sEy6yFrJStZ+tauPdux86KWmZtIKIc0A1U+AJYOCiGXVkaMgKW+UsgWm3wb13bpJjCqYamjJ4Ey6Kl0MtLmKfVCJw6zd66+ErI6WPgW/kp1MN72uyaLA5iZAzcrzzT6jGmxeFu+Fd+Cv/OTS2OsS65CmJMAjxvtZ62II+aAMv8C+F+8fFTfxqnrN0fP8gqsfmDFel6681q+8G9OJxyFf7xr46rm71prtMnCyyu7N9vaPAHmo6cSCTZEj4/Ra5t87leeYkElwv4as3p4UUlfBfNF7Flh85yc9trNFYq/2u1CqzoA21QUwPAspUaxo8WQSp1RbXBKqStWKXB00oRP1KHyc4QFUk2B2B7O2kV7Y2pvffj44DLLpSZuswbR4AjwAkvvwc4AqEhQJvV8o5DiI5jW60p2cC9dgWyXG5IosgqoVFbV1zJUheGhtnwTWEVRkY6MGb6LFjnnAvB4YB6YDdKvv6UkWRqA+1WDItwNBmTmJwG6/wloBSCwI6NHfLqUgfKtLNhWXAB9MyD8Hxy6o1hVOjCRmkOfj/cbxAhbV11kkdOgO2ym+BfuwL+Lataxc5+w90wfJ5WSw5TxBiR/voX/tzquSxDeOn1qP9H68UmRGcE7Lf+AvV/+R+o+7aHtnY96CzrVTcjf9L38cSzPWhQXTyUgQnAAz+T8fYHGtxes3OyI8RECfj8q44RV4ddwI1Xi0wN3XOgfYLa1hSoKMVF50msMER7m+ia90HlkKmM7xdfa4gIA264SsaajToKi3S46gDy99Jz8zYwQcBZMyWEhQN79mnYta97FN3W5nz9lRLiY7mtoYtvad5dH0OAK7x9bEH5dLoYgfo6HHjuSQzw18E5JJ3ZFijHVsvPxr7PPoBUnIdkpxV7KlzIq/diRKQDFd4AZsZH4tPcUiQ77Zg7YRyssxdCHDoC+rFDKPzkHUQLbf8xFwelwDpvCcTYeJbOQKWHO9KsCy6CMnUu89D6vvn0lKcoE2fCsvgKqDs2nvJY29W3QnA44fnP31vtzzL7XCgTZqD+5adaeH+lQamw33gnPG8812o1OCkhEbYb7kL9Xx9q0rdgscH+w5+i/pkHoR3e25Gp9/hjrBddi/L5t+MPz5xM4Ojxgw5xgM89STYADVRBLSJCYJvNOtJSkgRccJ6E9z+mymShk10qxTtnusg2he0NgTTTprasXB0ZmQarABcfJ7BNYZQrTHaG5o02oc2dLsLhFLBrb2jX7Ag+pzomPU3Agrki7HZOek8XS35+30WAE96+u7Z8Zl2AQN7B/fjm7//LygAPclhR4vFjdlICI5bK5NnweL1w7duB8jUrmGWB8nRJ1yGfbr7bh7RwO1KDBSloY5cycx6UaWfBKMyDb8OX0HKPtzlKMX4QI77SoMEI7NsG39rl7c9IsbKKbXLaCNMe8W07hSguuhZyynBWfU3Lymi1f2XcVFguuAqBVV/Av2NDi2PExBQ4brybRa75d2xsSl4VC+x3/Brqt+tbLYohhkfBcedvUP+33zNLBmXw2m+8G3WP/RLa0YPtz7eXHGE59xLUX3IvHniifxgt//qYguISHctWdoy4TptMpXKBN97vGDlubdmJlF50vsgSET78PPR+xowUMHWihIyjOosOoypw5Ott3iiZYu4MEaQm79yjY//hM6fotjb/u2+RuY+3l/z/gA/zu0GAE97vBnd+1d6AgM8HQ1dRs38Xir5ZgYCrGqIADAl3oMzjQ7HHD9uARIy58FJYRoyDXpCNstUrkHNwH+pVDV5Nh12SMD0+ssVslYmzWBliSkQI7NwE/66WXtiGk1g6w/wlkFKHIbB/Z7vqLZ1HxNFy/uWQYuLgXbMc2ik8u9LAwczmYNRWw/32i62vjCjDfu2tECQZ7jda/17eccPd0P1eeP/7Sos+7NfdAaO+Dt7P3mrxnkBe3Z89Avcrf4P9uttQ94d7oWX30pJkbdzXyuxzoN34a/ziT9becOef9hjj4oBH71fw2rutF6hofIELFomwKGKnosqaD5AKWZCivH6zgUOZoZPdhn7Th5mbwCinV222Z45IMFk1FAXYscvAwSMdI/WnDWo7HcyaKmLqJJHZOHjjCHAEWiLACS+/KzgCbSBgaCo8b70IZexkkMppuGqRtWkNjO3rsa+qDmOjw1Ho9rIEhlxPAAsuvgTK5DkwBAHqoT2o/eZT2Nr56yMPHclizcSYeLaR7FRWBCE8CtZ5iyGPGI/AwV3wfflBu2tHVdVI8aXmX/7fEznCrZ1omT4PlgUXIrBldZspDWRfsJ53GSsp3Fq+L1kc5AnT4X35GejNNtFZz10KMSkVHoo+a94UK5y3/hyuR34KPS+r3Xn1tgPkybMg3fEQfvKI6fnuD83hAJ5+VMZLr2kItBK0QOkk37tGRmaWjs0hZtLGRps5uNU1RqfizkLBn7y9tBmNossoxYEU4J7UbFaAvLw8k7cnrQofS09CgBPenrQafCw9CoHcjWuw/s1XWLlfTTcwbMIkWKbOhTgkHd7c48hauxLS8UOoCagYEemEEixqLyWmml7f9LFsw5v/23XQjh065dxoM5ll1gLIoydCO36EEUqj1szubd7IGsGI77ipUDP2wvv5O+3iRiTZet6l0KvK4f3w9TYzeQVJgfXSGyDFD2JqLFWFa9EsVtiuuRWCpsPz9gst3iYPMlkcKCs40MwCoYydyjbY1T/7xybnhd33GGrv+z70olau1+7sev4B0qgJsP7icfzo4f5DeGlVKNrrlz+W8PaHTckhbbC67goJn39pICs3NEWWyOfI4WAV33Lyus9OkDaErAsSdMPAlu06jmV137Uo4WHBWSIiwwWUlBvM/9xcYT7V3X7TNRLbJMgbR4Aj0MrfTsMwuu9fL0ecI9BbEVADyP/iQ2RvXI26gMasDFPjImCVJByv8yFq/GQkLTgfYlgk9Lzj8G36BnrzPFxRgmXKHChT58CQZLYBq73ywPT1vmXGfMjTz4ZRWcb6bdPLqlhhm7+E5dqqGfvNUsLGqVUnIuyWhRdBPXYY3o9ea3N1pJRhsF5yPYySAnhasSjQicrUs2CZtxi+rz6CeqBlhrD9+rsA1Q/P+y83uQ55kx23/Bzed16CmpMJ+/d+Avc/H4d2sO2otN56GzWMmyra2R/6B+76Xf+wNDRer5HDBdz6PQlvvGcS2zEjRcycIuKVU+T2nmq9KQ3hwvMklpqwYlX3qazDhwqYM1NksWSbtxvIyum+a9F86cugm66W8cXXKsorgNRkATn5nfvzTNYOesj9wyre2/+3wMd/hhHgCu8ZBpxfrpcgEPCzr+QFnx++44eRu+orJOoe1PpV5Nd74ZAEFLj9GJQQj8QZcxE3ewEMnxfqkf3m5rJmxJN8skz1HTkeVLWNNpSpRw+cEgwqX2yZcw7oO9TAnm3wb13d+vGCBMvZ57EYMO34Yab4Gt5WAkIbnU2b4ZQZ81npXt/Kj9scBxWaIOXZt3ElAlvXtDiO1GbbtbcBHjc87/6zxfvkXaVECM8rf2URZo2b8877oXvqENi6Dt63WirFveRO6dAwxQGJcD7xKu58QOnQ8X3toAvPFTFlkohaFxVkEPD+p6GpugvOEpCaLOLLbwwUl3UPAR0xzPTo+vzApq0GcvK7/jqJAwVQRjDZEChJIq/QAL1G2b+04Y7sHuFhZvxZZySpuBgBV1wisX554whwBJoiwAkvvyM4Aq0gULljM6tiFpOWzmwGwsgJcJWXQirIwfFVyxFw1yO/zgvVMDA6yolCtw9JQ4Yh/dwlsIyZCL2kACqR1N2bm/UusHQHZfpZIDVXzdjHCkG0lYfLlJ/kNFgo1mzQYGhH9rNEhbaaMvtcWOcuYj5Yz/L327RFsPNlxUx0GD4Gga1r2yTUgt0J29IbIIRHwvfRa9AqSltcnkixMvMc+Ja9B7VZyWNx4GA4bvoR/GuWwb99/Ylz6dpS3EDU3ve9Pn8PUjnoiGc/wO2/Fvv8XNua4I9updLCIj74rPNkd3CSgAsXSTiaZbSobtZVgI5OFzF7hgi328CGLTryizqnrnZ0HKNHCJg4TsKWbRrsdmD+XAmvvasy7+3CsySs3aix8sbUqMLbJ8tVVFR2tHfg1pskOB3c1tBxxPiR/QUBTnj7y0rzeXYcAZ8XO//9LHIPH0CYLCFMkZAe6YRj6EhIYybBMnYy9KoK1Gfsw54vPoViqKj0BRCpyJgQG8GuQ+V8yWogxg1g6Q2k6Gq5x5qMQRyQBMuMeZBHT4JWkAN1+wYEMtrOnW1avjiTVR/TyopanZdl+nwoc8+FXloE/9cft3kcnSxGxMC6+HI2VlKn1YO7Wu2TqrTZLrwWanYmvK0UuKBNdfZrb4NRXQnPf5vaGKhDx/V3wlADzOIgj5oI6/wLUHPH0o6vS28+UrEg8rWvcPsvuodE9QZoSLX884MKNm9TkdUJq/b5C0WQt5UqtVW3koN7unMfO0pkympdHbBus4aikq5bI4edyhCb5YoPZOjMj3vDlTJWrddQXGpe56qlEtsEV1hs4I7vy8jNN1gVNzp26kQRQ1KETn1IWDBXwuiRvNTw6d4X/Py+hwAnvH1vTfmMThMBw12Pyt3bkL9pLfwVJfCqOibHRaDY7cPuilqm6IYNHYFBM+Yy8quVFqF2/27sXP4JZiZENbm64AiHMnEGewACtKzD8K37EoanvslxyqTZUKbNBaw2aEcOmF5frZWt7cGzLNPPZukOuqsWgW3rWvXQ0qGWyXOgnH0ejKoK1icR67Ya5emS6ipKMryU6FDY+rHWcy6GPH46q8IWaKFgA5a55zHfsvezd1pk+9KYKelBsFjgeuhHfTKRoS18I99Zhzvv06hgX79tRHqf/4uCV95S4QlWY2sLjGFDBFARiH0HDUZEu7qNH2MS3epqYM0mDWXlXUd0aawx0cDF58vYd1BnxSuI4JJ9IXWwgIIiM+4sIV7A/Dkiy/ql3y9ZLKHebWDVevMmsSjAHT+Q8fzLKrQO3jdUwOO8BRKczq5GjPfHEejdCHDC27vXj4++GxAo3bUNYr0L0ROnQTR0lGYcgHFgF6qOZSCnzouUMBsrMFHjVzEyyomYkeMwYOZZLJVBL85H4NAeRkKbN3FgMtvERhYJo7oCgf07mPLbuInxibDOmg+J0hqK8hHYtp7FlbXVKH2B5fnaqXzxTvjXf9nqocr46bCcvRiGxwX/mhVQ2ygyQSfL6eNgWXQps0N4P3odhtvVci4R0bAuvQGixQLPO/+C3uwYygEmb69eVgTvh003xznv+A28y9+H7+NTl0HuhqX9TruMfH0lfvNnCZWth298p2M7kxefNE7ElUvFNkv+EimmssBhYcBHn2vMS9uVja4/c5rIbAKr12uoqOpaotswViKdufkUX9Z6/7SZ76xZEioqDYSFCVi5RmORZxSz9vq7Krw+IDICuOYyinZr+8Nva9j8+DYQIoVkAAAgAElEQVQZUv91z3Tl7cL76kMIcMLbhxaTT+X0EaDNXvVVVajJ2A/j0B5Ue7ywDBsBx6jxGDAwEXpRHg6sWwUp5wiK3H5EWmT4NB3TWHEJAcroiSwuTEwdDqM4n9kD/DtbFpUgUilPng158FDohdnwbdsIrdkmNtrsRRXdyENLG9z8q75g1chaa4xMz1oAaehIqEcPwf/Vh2wTXfMmj5oE6/zFIDmJlObmftvGx5PqTIkOenYmPB/9p3UiPWYyLEuuYoUtvMvea3EM2RaIbHs+fh1afhYoi1eIikHd/9xx+ovVy3qI+PcXePwlB463LbL3shmFPtybb5QQESZg9Yamyu2o4QLOWyhh2y6KAOtaVXfKeJPolpYb+Gatjura7iG6DahceYmEzdt0pthSuWNKetm9X0d1jXkEEdIG1XbcaBGj0gX891MNs6eLGDFMRHaujsFJIsOBvMudaRcskpiSTAoxbxwBjoCJACe8/E7gCDRCIFBRhn3vvIYBI0YicsJUSJKE6qxjKNm9DbWFeZi9cBHkMZOA8EhoxQU4tHYVorIPItra9C8L5dmSkquMnwph0GBGlEmBDezd1hRvixXKhOmgymuC3c4qjAU2rIRWXX7iODFuoBlVRt7h0gL4t29s08JAqQmWWfMZUdYLc+Hb8FWr5YtpoxoVmRBEEf6N3yBwYEeb94Hl7POZfULbux3eNopd2BZfAWnEeFY4o7kHmMZvv+ZWZl8QhwxHzQ+X9Mt7Lvy5D/HcR9HYs79fTr/FpB/6lYxtu3T29b7VAhY1RtXN3vuka4ku+WCJ6BYVG/hqjYb6pm6ibluM8xdK8HoNREcL2LVXZz7kyRNEtkHN5wNLYmhIYKAyxfPnSHjzv6aSGx9L6q5pfWjP+tHaBOiDA9k1IiL45rVuW2Deca9DgBPeXrdkfMDdiYBe74Kntga1xzJQu28nPC4XhKRUJE2dDeegRFhc1dAyDzBSx1TasVMgkvJbWsSycFuLDhOs9hPklwpMMKvCnq0trAqs+MTkWUwh1utc0DL2tqh4poyfBmX6PAiOMKjHDrGNa21FkDGFuKF88Y5NrfptpdR0WBdeBMFmh3/LmlaPYXiLMqznXwZl5Hj4t62Df9M3LZZBjE2A7dKbWPau+43nAb0pcXHe8xDqHruP4dcfW9jTb+CNdcnYsLVzal1fxYo8rn/6rYx1mw3MmyMwNXT3vq7DZsYUCdOnCMgvMPDVai0k4tga9hQfRspsSXDTWVvrQ2kMi+ZLePVtlcWLUVu6REJ2noGqagO0uWzNRo2R/dnTaeOa1qb9obP3APV5600yz+PtLHD8+D6NACe8fXp5+eQ6i8C+d19nxRZGzjkbavJQWMPCUJ+fi6Ld2yFlZSBl0lTIoyZAGpIOvayYVVJT920HqZjymMmQ0kZAKy2EfjwDvm/XAc02p4mOcObPpVLFQmQU9MI8+HdvaVFcQhoygvl9peGjoRXlIrBzcxNVl8gxFaewjJ8KraQIgZ2boO7f3up0qXwx5fmK0fEIHNrdavlikea64EKI4VEI7NzQwlvc0DErb7z4claJjVkiWlGGaYOedfGVbEy+lZ+wU61LroJeUQbPC3/u7JL0meOdf/onPjk0Eiu+6eDuoz4z87YncuPVIiaMlfDm+53zqJ4KmlnTJEybREUbgC9XqfB3sQd4eJqACWNEZk2gtIW2GqnVRDo/WX4y+WHOdBFE6Ync06a5lGQBLpeBA4d1VHSxt/vqpRIGDeQKbz/4Z8Sn2EEEOOHtIFD8sL6PgFHngm6xwl9ZBn9RAYp3fYvSnGzYBg9B+tkLETVyLCNtWs5RqHu3QQgLZ4UkpOFjAJ8XGnl2920HJBnymImQh49lG7/U3KMIbN8IvVl+LcWMUclZecJ0iFY7K6tLdgUt9+hJsAUJyoRpzO8rRkRBzzsG/+bV7FoNTRk7hZFfIqtM9V3zBShponlrWr44A96Vn7bI6SUvsI0U39h4qDu3wLdpZasLz447/wqWtkA2By0vq8Vxtouvh5iShsDmVcyO4fr5TWf0JvrCKyNXE3C3M9Dp6673S/hnvYwfOQOYbTlJUPcHRPZ6tSFipKzhp2EBhHWQUzh/+zRWlk3FB59xwtt4Qf7yiIKV6zQUnkbuLW32mj1NxNRJIo5lG1i+suvTMIjABlRzQx2VG377AxXl7eTjkneXYs+Wfa0yz+5F58v4crXWrjrc6Ru2lROmTBAxZaIIikbjjSPAEeAeXn4PcAROIFBZXIQjzz+JxEGJCE8fBT1lOCKTU+AuKoCtpADage0QImNMkpo2kpnw9JJCBA7vhVFaBHnEWMgjJ0BwOFhUmXZ4H7TKMtPOMGIcdJ+XVVkLkKKb35QgitFxLI+X7AxUY9Sg7N7tG6AVngwsJYIsk01h4nQYAT+0zINmVbdgfBkpuMqMs5l6TMScNsupe79tscJNyhdXlMK3eVULhZn5hhdcCDlxMPMd+9Ysa/VOkYaNhu38y2G4auD9+E3oddVNjhMHJMN22Y2o+9/7oR89dEbvtlAJ72deCYdUCVU6sNSmniC8dTrw81orfuYMIF3W8bJbwVBJx2Jbxzynjl88is36PLz+Lie8jW+EiWNFfO9a8rZ2DMfG51IJ3dlTRUwcL+JYjoHlX3e+j/ZuyrGjBEweL7HSv5SosGylhisupri0thMYGvc5abzIyil7vAa279KRV9B1to1TjT06UsA1l0mw8qpr7S0xf7+fIMAV3n6y0Hya7SNQX5ALW1wC/K5aVOUcR9XBfajNOIDJ06dDSh8LeegIRi4paov8ulp+NqgYgzRiHKQBSUzBpU1nauZBVsSBWR8GD4VWUgg9JxNabhZTPOl1QZJZhJl/77ctPK1i/CAoYyYxfzCFtqq5x6B+uw5aefGJSZAFQZk0kxW4INKt7tvWJA2CFb4g1TcyxkxtWLccRl3L1H5l7FQosxey8sXqnq0tY9KiYk3iOyQdgX3bW7VD0KDIL2w99xJoOcfg+eCVE+Ok0sRC3ADUP/zj9hegnSM+9cr42idBN4Bo0cBPnAEMkAzcUGXDs5FeRAdjmBp+3+SXcUQV4DaAHE3EANHAT51+xEmnvlC2JiBV1PFonRXnWU8S3lU+CfsCIlN1Q2n2u+7H3ugL8eKrXU/KQhlPTzrn1z+RUVJusM1dHWmUPkBpBpRukJml46tVHTuvI303PoY2j507X8Z/P1VZTu7QVAE5eQbIn5ueJuLjZT17LW++QWIV3HjjCHAEuMLL7wGOgImApiFr6yYUfbMMYxMTUBY9EI7ho+BMTUO4rrIiDFQGmAo4yMNGMQIsJaUykqvn55gb0CxWk+QOHcEUWKO4gJ0DNQBp5DhWwpdsE1phNrSsTDBLw5hJEMMjoRcXwH9wJ7NKNG5kHVDGTGGWAPi9ULMy2cY4o+ak4Y+UYWXKbBBR1gtz4N+6DlpOJuuG8nCpmptEynF1Jfw7N7e+eY3KF5PPd2AytCP74F3xQZNxCGERsC64CPLIsVAP7IF3xfut3jlWKjoxdxECu7fCv3Y57Lfdh7r7b4NeWnhad1qtDtxbY8NzkV44RGC1T4TfEJi6eirC+45Hwp8j/EiWDDxbr4C47l0dtDg84rI0IbyvuGWoBlCkCSjSRYyWddzq8MNJeVMdaLYb78bREdfjry/0bJLUgal0yyFP/kHGOx9qzDbQViO1cs4MCaPTBWQe0/H12q4jupSLS75aKsu7Z7/OIsSI2KYkicyG0LgR4SZ/7n/eVeF2dwscXdLp2bNEkMJMiRC8cQT6OwJc4e3vdwCfP0OAVF0iZaTUUvlbd3EhCvfvRWThMcTED4BMKu6Q4YxA6pVl5ma1Q3sA2QJlxFhIaSMhWG3QK0uhHj3MCLI0OA3KyHFAVCyM8lJoxw8zNVZMSmUEWJAVGKQWH8uAoWtMrRUSBsEoK0YgYx8C3zYtSiElD2Ub44jgGvW10LKOsEgxw2v6dSmSjOwOpPxCENn1/BtWQq83lV0q50sJD1JMHNTjh+Fbu6KlhzcimuX5kmeY8nd9q5qWLxZsDra5TRo7BVrGPng/f7vlHSRIsC2+DOLgNEbQ3U/8+rTvMp9h4I5qG26wq5hj0RDeKFT/VIR3d0DAb8NNRXa3X8BrHguejmw9y7j5IJsT3n/UKcjQRDwU5kOUCPyj3oJIQcctzo5tuLJedhOKZt6Kx/5+2nB0qINF80UkDRLwn3c6R7AnjRdw1VKZFT3ILzTwn7dVFJeaMVpUBpeUVfLM7j+kMxtCV20Ku3qpiKREsdWNYORDJaI7YpjAkgy+Wde5ObUHGNkWhg0V8fUaDbIE3HiVjHc/VmGzClh8jpm00NAopYFSFubNkVjVvJIys4Ja8xYbDYwaQXm6BosXO9ONlN0xIwRMmiCyJAjeOAL9HQFOePv7HcDnzxAoqSpH3ZaN8B87hEjoqAiLgT1tOJImToNdkkySm5MJ/5EDkKLjWDyXkJIGQbHCqCyDmn2EEVAxJt7cyJaSBsNdB70on1kKDE2DPNpMd6CywnpBLrTcYyA/LXmCKfVALy9mfeiuGuYHFoeMYHFnOm1E27YehveklERxYsq4yaBCEnpVObRjh+DbsBLQTHInDkiCZfJslgjBNs4d2A3/llXmexExkKedBcukGdCrK6Hu3tJqcQzL9PlQZs2H4aplUWSUI3yiKRawohJT50I9sh/eT99qUgqZPMC2a2+H676bmCreFS1LFfCRV8aegIhhko67wlQkiKe2NGRpAu4JKrpHVQFP1lnxYlQ7NW2Dg21N4RUM4IdBgntIFfFSvdJhAm1ZfDlqz78bv/vLmakGEArhjYoEHn1AwTMvqMjKMXDphRKGDxXwl3+oOHu2iHmzRfz1BRWqBtx7h4xDR3R8/mXXqaz/94SCdz5Q4QruuQxzAnOmm5vEiOg2L1TRFfcV9UEqKMWMlVcYjKTOnCriYIbO0hR+cJ2M9Zs1thmO2g+vp+QFlb4UwuxpEnILdBw6Yr5HxHzkcJGNt6YWOJypsw8NZ6JFhgtISgQGJ0lITmRbAVBTY7DyxVzhPRMrwK/R0xHghLenrxAf3xlBIM9fh0xvNcZZouAQJFSVFcOTcZipr0NEjam1cvpokMpq+H0mAc7KZP5aKS7B9PgmpzHSpzHV9jDbuKaQKjx8NKToeKb+kseVvLtiQiKkEWMhOMOZN1fPyoThqoY8bDSkYaNgVFVCzT8Oo6oc4sDBzA6h11Sy8wPbN0CvKjuBi5w2im12k0eNP+EvbpyTSykSCkWcDU6DUZTHyHNDhTVWmnjGPOaz1Y5nwL9uBfTqpgS1cfli7eBOFkd2sgmwzl8CZeYCaMcOs2prROit518OUNW6Zx7q8vVTDQPvexXkqALuDw/gpiob/h7hRYwEBAwiwHb8M8oL8vDuC5jHUCOi/JpHwVMRoSm8y7wSjmviCQJ9KCDgZY8FT3awP2XeYviv/Bl+9bit05gQefnh9RKGp5kVu45m6Xj1bQ2DEwXccpOM3/3JnGNa6snfifAOGyLAbhcwOElAWbmBF19VURWs9NXaIIjwUh8795okLSVJwE/ukPGrhwPsdX/AVH2pLTlXBKmdL7/ZdWrr9VdIGJICrN+iMyV5yGARhzINrNvUdddoC3yKCCOiSxFhVNaXCkG88paKISkCzpsvYe9BHXGxAvPyfrmq6XhIDSfFlzLHMo7qjBwTIe7ORpvSTIJLyrgA+jBWVWOguETHkeNAaVmQoN8gIyKsO0fC++YI9A4EOOHtHevER9mNCOiGgc9qcvCv8oPsKlGSFePsMRhvj8EkWwwSLE7UuapgLcqHkHmI2RIYAR4+BmJSChAIQK8ogZZ9lKUqSAOTIA8fDSExFairgU45ucczAK/btEYMTWcllvTSYug5R0HFLsimQKqw7qqGnpcNvbwEQmQ0O94wdBi08Y18sE4zCg0+D9S8LKi7t0IryD5JfkeMZykNlN9LxFo9vBf+BmuEYgUrXDF5FgSHk1kWiBhrFaUs0kyefhaUCTPYmAO7v4V/+/omqLPyxTMXMA8zbczzNStfbJm7iFVkM0qKIERFo/aea2DUu7pk5Y6oIj7xSvipMwCLAKz1SdgUkPBAmB/31lhxmyOACYqOdT6RWQ1IxSXC+55Hwl8ifIiXgBfqFcgwcFsHLQjNFV5KbfhFrQ0Ph/mQJOn4e70F8aKB7zs6ZmkgO4lx8wP42aOdJ7xTJwqYP1fC08+pJ6wFtMGLvlI/FeG9/CIJf3wqgKISgDYw0fGdsTgQqSWy/NJrTdlbbAzwo1tkLP9GZ8kDXdn+8qgMmwU4mGFgw9au7ftU47z9ezI++ExFZTUwaIAAwm7LDh1Hj+tMLSV7SEUlUFTSUrGltAhFATyerkSiaV+xMQKSB5kfXhIHArohoKpKR0GxgczjZoJEa43KDKencRNv960M77m3IMAJb29ZKT7ObkPApQfwQul+rKsravUadkHGGHs0xtliMNUei6H2KNTU18BSUgSJ/LolBZAGJYMiusifS5vLjIoy5l/VykugJKVATBvJVF2W41uYw4ixaLEylVdMGgJUlUPNz4ZBRDcqhqm8zBNcWswKT5BRkjbEiZFR0EqLWXEMnWwSlPggiqx0sX/vtkbxYgKU0RMhT5jGvLRkrdAO7oZ/1yY2R7JeKJPMqm5kvdAy9sO3fgV7j4i8MmOeOV4ixeu/ZKS4obHyxTPnQ5k2F1pBLvwbvmySw+u48cdQszPh/vvvu2zN6EPJa24FW1UZFN0fLRi40xnAYMnAJr+Et9wy4kQDUyw6PvfSRjUfNvokZGsi6iEgTxUQLxn4mdN/Is2hrcH9usaCfF1kG9TIKkyK6j0OP+ZYdXat1z0KfLrBCPbtndi0Jo+fBvmeP+Ke33c+J4qKHdz5QxmvvaOyr89JZaTWWNFt/jspvJRiQBYEamNGCrjucgkPPd4xgk6+1puukfH4XwPs6/mG9tv7ZAxNEbB6vY63PtBOlMftqsW+5UYZcbHGGS/QcfMNMtZs0FhaxLnzJOzepzM7x659OisycaYblSImkk0q+6BBAvNKk4JbUGjgyFED1bUds0pQHu+0ySJsnb/tzvSU+fU4At2KACe83Qov77w3IFCnB/DLvE0oCLQs1tDW+EkBHsMIcAzSbTHw+twQKkphOXaEWRqk6FhIaaNMMuv3MsWWFGC9phpSyhBQJTUqXEH+VipkQT5cFmWWNgqwO8z0h4Ic5tsl3y+zUpBXtzCXZd4KA5NZVBjrt6QAgtcLcehwtnGNlGD//l0sN5gabY5ryPgVByWzRAjK1m2ozMb8wFTSeOR46IW5rPIbqx4XFgF56lnmJrj6OgT2fntSLQ4CY5k0G8qsBTACPgR2bIaWfYR5d2t/fBUQ6OISV73hZjrFGMlaYrv/Kdz9YOcVXuqWVN5zzpZYda5tu3SWaJDcjqWBjm2wHNBX8/fcJuOXD7Ufq0Zf7V+yRMLfXwygtLzlpMLDgOuukFDvBt76b9d/d//8UwpefkOF7wzeQvThgVT0WpfBvLuFxR0jlF11Ww5MCBLcZIEpzG4PkVoBefkaMo4BdXWhjYcI86KFIsIcXOXtqrXi/fROBDjh7Z3rxkfdhQioho7Lj5nqZqhtmDUSY+3RmGKPw2hrFEtdIBJryz7GcnhFZ3hQAU5hJNYgQpuXzdIWxNThkFKGsSxcUoD1Anq9DmLqMEiDh5nHk6JbUQY4nIwUG6IAg0oYV5YDigVy+lgYPi9TiIkQkzorxg8wC2NQ4kPQniBY7WYhjPHTIMYmQCvKQ2DPt2asGgSzqtuk2Yywkz85sHWNadNIG8VUXRZblnUEgY0rGbFvaA3liwVnGPwHdsPz9z+ECmWfPY8+/DgffQF3/vb0pDa7HbjrhzL2H9aRecwAfRX/26CHl1TcG64yPb2k8I4eIeL/Xjqp8FIhgt8/cWqFl1IaLrvQtE/UNnKkjBstsE1dlNhAjRITvn/dSf9wVy7cXTdL7PPStt1nztLQlePvSF/kf2YKbpDgEqElf3VuvoFDmTq8Hdtb2e6lHHYBP7hOhKJwwtsuWPyAPo0AJ7x9enn55DqCQJavFvfmbejIoR0+JklxYqw9BpNtMcwPbIWEQE0F7OTPLSuGIMuQ0mgTXCrgcUMjD3BhHgSfxyTAZEPwelhEmUbeXUOHnDYaYlwCI7lEZJn6m5gKptoS0S0vZvm/Em2es9uZrYJSGMSwcEae6RzamObbupapzoyEU1QZkd+IKEZ+qTobJT4I4VFQJs5gD0NVWXEM3/ovIZIPeNpcyJNmsfLFpARTLjBrsgLnzx9FzXXzOozTd3Hgy/Uy9qutV5+42eHHeCU0Ja29uQixCQh/+g3ccX/nUxrOnSfC6RTw6XJTTaUNbOQl3bJdx2O/U/DLhwPMP/q9ayWWEtBAeJdeIOEPTwRQUQX84DqJZdyeSpGllIE/3K/gib8FWpTNpepiqYMFPP+yyvq58SqJpRK80A2FNIikPfY7GS+/1TH7RXvYf9fvU4wbEVzmwU0WQGpubS1QWQNk52o4nGnQVoBua3f8QOaWhm5Dl3fcWxDghLe3rBQfZ7cgoMHAiupcvFB+oFv6b+g0VrIxBXiiIxaTrLGIVqzw1lXDmpcHkFKq68y3KyUPYeouszSUFrJMYLIcUJELo7qSvabVVEJ0RrBcYMrbpTgzeo8IJxW9YNXgykug19ZCiolhtgo6T6diFYIEOS0detBKEdi2AXpNBSuCIY+ZBGX8VMBqZ7Fp/h0boeUehZiYCsuU2UwZJgWZvMKBHRtBqq4ycx6kQanMlkFpE0Tk65/8n27Fsrd2LjjCEPHSp7j9l51X2iie6+YbZWZhMAwgO0fHK29p7Cv/qy+VMGmciPJKMw+W/Kf/88cAzl9objijQgqJbMOVmdLQWLVtjuXcmSIj080TBu57MMASGm68WgKVAqaYq2NZBl57V23i7+3KtSGv8KEMHUezuucDSFeOtXlftIktiRTcRBEpyUB8rIDqWtpYBuTk6jh4RO9y7/Op5kMb8EhNJuLNG0egvyLACW9/XXk+b4ZAperDGxUZ+NqVf0YRcYoyU4An2okAx2CwPQJ1dTWwFhdCKCtm1dlI6WWb4OrroJWVwKguZ8SYKcBkR6goZdYIUoiF+AHM50uRYkSWDa8HUsIgiDGkCJfBoNdFEUrqcJacYFDEmapCTkxlx+r52awCG9tMFx0PZewkyOOmmSWHqcgGkd/CXMgjJ8AybS4E2tBWkMMizigNQp4ym9kh3P/3R6h7vj2jWPaaiwkiIt9Zg9t/1vWe116DQScGOnOaiKWLRbz7cc/HiyqvEaFMTqIPGUBMlIDqGoMR3OM5OssQ/i7b3JkCRgwTeZnh73IR+LW/cwQ44f3Ol4AP4LtEoFrz4eGCbTjub7QN/TsYkCQIGEv2B0cMptliMcwWBbenHnJpCURSTokAJ6ZCSkoxCSulPZDSK8oQUodBbNjoVl0B0g+FQYMhOsKYj5hsDVTgQkwewja3MVLs90GMHwhRUdj75P+V4gZCh2Fm9e7ZBu34IVauWBk7mZU2NjQdeu4x+LeuYXYGijBTJs0AJJnZIYSYeLh+dOV3gF7vuWTkW6vxswfBNnvx1j4Cf/2TjE9X6Ey97kmNEg+I4FIOcnKyACr6QEkO5HE+lmOwKLOe1EYNNzOGIyM7/+1CT5oHHwtH4HQQ4IT3dNDj5/YJBC45uqxHzmOELZKR4Gn2WIy0xUAlf25VOZSyUugBHytDzBTa+lrolRXQ62ogWq0QEocw0ktk16irhWC1QmJpET5Gdg3aDRMVAzEyGgb5gWmDnNMJISaBJUEQmSUPr2C3mZveDuyCemAHJCqAMXYK5LGTmCqsHT/CUhtoI5x1yRXQ87JQ/9RveySWPWVQEa9+id//zYLC4u9uRJSuQCVnW2sUM0Z+0p7Sbr5BZJaMdZu/WwJJnuKkQWaRh+QksDFRFbPSMuBYjs6q0vXkFhcj4NKLJDjtPXmUfGwcge5FgBPe7sWX997DESgM1OPOnLU9fJTm8FIsYRhjJwU4jj3LhsGsCZbyUjAzZ2ycSYCpeEVNFYw6FyswQb5gKm5h1FYzJZc2qFHpX40qqrlqANpANzCZlRCmssaQRPN36sNdDxCJjohmqRCBw/sQ2LGB2ScY+SVfb10tS92vf+p30A5R2gNvbSEQ8eIneOrNCGRkcow6gsCAeOChXyvMe3wmW3iYgKSBwOBkqmIG2CymB5cIbmaWhrz8nk1wW8PqJ7fLvMTwmbyJ+LV6HAKc8Pa4JeEDOpMIrHEV4KmS3knSEmQ78wFPscdgnDUGEbIVqqsKlvIyGH4/I7Zss1ttFcv/hc8LhIczpZZ8vuQNpoIO5AeGLAG11dC8XkgRpO46oNdWsYIXVAgDusGUZCo5JcZS3FkBtOOH4duyBtYZ85mHt+bmC87k0vXKa4X//V38a0UCtu3qlcP/Tgb9+MMS1qw3UNhKhbOuGhBZEliZXrIoJImsshp5cItLaHOeWc2st7ebrpGYt5g3jkB/RYAT3v668nze8BsaXi4/jC9qcvoEGuGSBWNt0ZhMG+FsMRhgCTOTICjBwesDZeRKiYPNtIZ6F3QixWRdiIxiKQ9kU6BMXzFhIFDnYhXYIEosz9eorYFBm+NsdlYYA3W1LGuYNsUZZSUI5GTCze0M7d5HYU/+B+9uS8Xq9b2fQLU72S464PorJURFGNj4bddhFh0ZJLhJAku+oP/Ig5tfpOFoFim5XXetLoLhtLs5b4GZy8wbR6C/IsAJb39deT5veAwNDxd8i0Peqj6JhkUQmfVhkj0GU22xSLVHwVPvgqWmGoLPC8HuhDgg0STA7joYmgYxKhqQLcwWQfVrqRoc2SKM2lpWTU0Ii2AkmAgvPQux8dArS+F+9jGWycvbqRFwPvIclmWNxWcrvltPam9ap4R44P6fynj17dDTGmJjTgIsHQIAACAASURBVGbgUh6urlOZXqCoSEfGMUpT6HsEt/kaTx5PJYYF2G1c5e1N9z8fa9chwAlv12HJe+plCHh0FbdkrwaVFu4vbZQtGhPIB2yNxTB7FLSAH3JtDUSm3jqYuqvXkCLsAQxAiIoFtADLBiYDoEAb3TTV3NhG6m90LPP91t52cX+B8LTm6bj/f7HONRPvfMgJb2eAfPqPMj76Qutw5m98nElwWRWzgQJ8PgM1LgH5BTqOHKWSvX2f4DbHlzKZl5wrwR5aZevOLBc/liPQIxHghLdHLgsf1JlAwDAMLD22/ExcqsdeY4glnFWCm2GLxUh7DERDh1jnguxxw7DYIMUNYBvjWLKDLEGMimOb1AyfB7BYQcUU1MwDqP/DvT12jj1pYI57HsR22yK8/CYnvJ1Zl5/dLaGqGti1t3XcqHIZK9ObBAwaKLKyvJXVBvIKSMEFqGxvb20WCxAeBkSECQgPFxARBlRUGTh0pHNzIqJ78w0y7VHljSPQLxHghLdfLjufNCFQq/tx4/GVHIxGCAxUHMwHPMMeh7H2WNgFieX+Kl43YLFBjI4z0xv8Pub3pfwzz3/+gcCGrziOHUDA9oN7cTjlKvzjX6F/Pd+By/S5Q86eLWDxORLeCxahIFsCxYSlJIsYNEBAXT1QVWUgt8DAoUydEd7e2oiY0lzXbNSYr/jC8yS2p9RVZ7AqeUTsC4sNbN/d+Q9Nd/5QhtXSW5Hh4+YInB4CnPCeHn787F6MQI7fhXty1/fiGXT/0KMkK0uCmG6LxXh7NGIUB1RPPSxuDwSLlUWY1dxyYfcPpI9cwXrVzcidcjOe/D9OeDuzpFQS97knFea1TYgXUFNrMMU3O09nucGBXuJKIjI7b7aEAQkCU1qPHNOxYUtT4jpvtohRI0R8tVpDdm5TFZdwuOlqGe9+pLIkws62pUskDEnhHt7O4saP7xsIcMLbN9aRzyIEBLa5S/FIId9o1RnobAKVRI7GFFssZjjiEQ4JuqHBnpONwK7N8H3zKYs34611BKwXXYvyBXfiD09z0tHZe+SpRxUcz9WxYbMOo3Pf5nf2Ut12/AWLJFawYtM2HVSt7carZXy5SkN+oTmhMCdw8WIJJaUGyiuBfQebkuExIwUMiBewekPn1V3qnzy8I4bxe6/bFph33KMR4IS3Ry8PH1x3IUB/LpZX5+CF8gPddYk+3+/1MemwixKeLtmLReFJuCgiBRMccfCpPliKCmDs2Q7/mmXQ87P6PBYdnaDl3EtQf8m9eOAJbqTsKGYNx/3kDgn19Qjpq/zOXquzx8fHAsPTRGzedmoiOn60iKNZOjxBy8XlF0vYe0DHsSyT8J5ztoicPANRkQLVe8Gmb5v2d8XFEnutuDQ0xj9vlohJE3g0WWfXlx/fNxDghLdvrCOfRScRqNcD+LDqON6rOtbJM/nhDQg8MHAKvqzNwyNFTVXySfY4LAxPxCURqZgWlgBRNyBVlELYvwv+9V9BO7S734KozDkX6g2/wn1/svZbDEKd+IK5ImZNE7FsZc+wg0gioOksvARzZ4oYmkJkVe9QGeSEOGBoqsjU2i++1qBpQES4qcCST5lU2LQhIlZ8c3KuRIBvvl7Gi/9RQ1a4Z0wRMHWiRIUReeMI9DsEOOHtd0vOJ0wI1Gp+vFJ+GCtd+RyQEBF4PnU+bs9ejRW1eafsId0aiXlhg3Bp5BDMDhsIpygD1ZWQMvbDv3kV1K29o7RziDA1OU2ePBvi7Q/i3kftXdFdv+pjYLyAX/9MwqtvnRnCS8kIlN/r9jQtRDFutIhJ402V1OUysPwbDdMmiUhPE/HJMpWVIG6vzZ8rwukQ4LADu/fpOJpl4PyFEjIydeQXGUgbImDmFAk792o4mGGquVQgY8YUER9+Hvr8J44VMHOqBBuPJmtvifj7fRABTnj74KLyKbWPQI3mx9Mlu7HTXd7+wfyIVhH4aNgSROz+NyjPuDNtkOLA2WGDsDQiFfPCEzFAccBfXwtr5iH4v12PwKrPOtNdrzpWGj0Rlp8/jh8/zBlHKAv34tMKXnhFZcpqd7aZU0W2uYvsBUNSRGTn6tiyXUdkBHDFxTLeeF9lG+VIcSb/LZUhJj/ui6927t9CTBRw7RXmeXffIsPlAgIqUO82WJljsi/s3m96lsm/OzhJZJ7fUNuodAFnzZIY0eaNI9DfEOCEt7+tOJ8vQ4CKTTyQvwXZfhdHJAQEIiULnk+Zxwjv6bZwUWEE+MKIFCyKSEa6LQp1HhfsOVlQd2yEb+UngLv+dC/TI86XhqTD/uA/cNfveDZUKAvyxO9lrFyjo6SbS/+S2rp+s8a8trExwGUXyvj3GypGpgsYPlTEF1+1JJ333Cbjn/9R4T9FYgSlM8RG44Rq63AAt94o49l/qxR4wshuQ/vxrTKef0VlVeGojR5BUWwiVq4NnfCSckzWkDAn37gWyv3Hz+ndCHDC27vXj48+RAR8hoZbs1eDlF7eOo/AGFsM7owfg2H73+z8ye2cIUJgBJg2whEJnuCMg8fvhaUwH8burfCv+hx6SUGXX/dMdCgOSILziVdw5wPcRBkK3r/5qYTcPAMHgl/zh9JHR86RJICsC2QjoDQFyr597mWVqb7jx4j4qBVbwQ+vl/HZlyoqKtu+AinE11wm48BhnVklRqeTQqxjfbNoMuph3GiBRa6pnRONTzk9qj53/jkSS4PgjSPQ3xDghLe/rTifL0OAXHFLjy7jaISIwMWRqRhmjcR5mWfGfjDVEc82wpENYoozAYauQSqjjXA74F+3AvqR3pG2IUREIeLZD3D7r/lO+VBuve9fK7EEAyrK0J3tksUSKz+8dYcOvx+ggg3vfawy8nnjVTL+9Yb5c3QUmCeWNpddfpHEvLhHj59MYWhtjEQ2hw0VIQpAUYkRcuJCKPOnNImlF8hwOkI5m5/DEejdCHDC27vXj48+RATqdBXXH+fVwUKEDz8fMBG73eW4L39TqF2c1nmjbFFsI9wltBHOOQA2UWIb4ZRDe+Hf+A2zQvTIplgQ+dpXuP0XocVK9cg5ncFBzZ8j4vyFIt4NVlzrrkvf8X0Z//1MRWUVQGWLKQ7s67UaMo8ZWLxQoqraOJ6tY+woEUeOGsxnm5YqYMZUCRlH9TZLIHfXeDvaLyVBXHu5DCqAwRtHoL8hwAlvf1txPl+GQIG/Hnfl9p90gK5e9mcGz8XvC7fhzcrMru46pP6SFSezQZDyPC8sEXGKDX5XDey0EW7rWgTWLg+p3+44KfKddbjzPu2EN7M7rtFX+xw0EPjJbTLe+ah7FV4q7Uv+2upqA3abgOM5OqZMlLB6vcZU2fRhAsLDBBSXGKzMb2uNSCUlPdBx4eECIsIArw/4dmc377g7xeJTtNktN8g8lqyv/gPh8zolApzw8hukXyKwua4YjxXv7Jdz74pJvzV0ESYcfK/HbvqLlqyMAC+JGMy8wGm2SNS7XbBmH4O+fSN8X38E9l31d9AiX/8Gv/mzyNRD3jqHAG21euFphW3y6s5GJXwHJwnMtlBQ1Dk1nmwOi+ZL8HqB2joDrjozvoyeqSRyQ9GJ7hx/W31TZjBthqP58cYR6G8IcMLb31acz5chcMBTifsLtnA0QkTgzaGLELX738wL3RuaIoiMAJ8bnoQLWEW4WNT53LDSRridm9lGOKO85IxMJeLlZXjsRTuyc8/I5frcRZ57khITtCaJBn1ukt04oR/dIkPmhf66EWHedU9FgBPenroyfFzdisBedwV+W7i1W6/RVzsfKDvwWPJMJOx5tVdPcaYzAQvCknBxZAqmOhMQ0AKQS0sg7t0O/9oV0I8f7pb5hT//IZ79IBp7e8c+u27B4HQ6/dvjCt79UEVd30iqOx0oQjr39u9zD29IwPGTej0CnPD2+iXkEwgFgZ3uMjxcuC2UU/v9OVMdcbg5dgyG7H+9T2Ex1hbDNsKRD3h22AAoECFUVUA+sAuBjSuh7vm2S+Yb9sybeH1tEjZu7S36eJdMu8s6+csjMsvBreCWkJAw/cF1EiIjeA5vSODxk3o1Apzw9url44MPFYFt9aV4pGh7qKf36/MuikjFgvAkjD74dp/GIdUS3mgj3CBESVYEXNWwHTmAwJa1CGwILeUj7E8v4aODI/Dlqu9u81JvXrg/PyhjzQYdRaX8A0Mo63j9lRLiYznhDQU7fk7vRoAT3t69fnz0ISKwpa4EfyreEeLZ/fu0a6KHYWbYQIzc/1a/AiJOtjECvDhiMPMCp1ojUO+uhf34UWjb1sO/4oMO4eF88G/4ungSPvycE94OAdbsoEceULB9l4bsPE54Q8HvyoslJCVywhsKdvyc3o0AJ7y9e/346ENEYENdEZ4o3hXi2f37tMsih2J+RCLS+xnhbb7qNkEyN8JFJOOCiMEYb49FjbcetoIcGDs2w/fNpywbuHlz/PIxbFbn4vV3OeEN5V/Sg/dJOJRp4MgxTnhDwe+i80UMG8JjGkLBjp/TuxHghLd3rx8ffYgIrKktwFOle0I8u3+fdlFkChZFDO73hLe1u2COcyAWhCfioogUTHHGw6fSRrgiSLu3wb92OfSco7DfdT/2Rl+IF1/t3izZvnqX/vonEvKLDOw/xAlvKGtMkWljRnKFNxTs+Dm9GwFOeHv3+vHRh4jAqtp8PFO6N8Sz+/dpS6OGYEFYIkYc6Nse3q5Y5Qn2WLYRjgjwrLCBIF1N9HnhdES06N4I8jd6podOz3rwmX6nn4OiMD2z44Lvs9+px+C5J36mlxpeoxfp52avNf698fkN4+kKHLqyj8SBAnw+HdU1Xdlr/+krNoZKInOFt/+sOJ9pAwKc8PJ7oV8isLI2H3/jhDektadyvgsjkjCin1saQgFvmDUCR0bfAKEtvtFCtOyYitmWXtf07FaOauOldq/awKgbQGhyQpBVN3mvgc03Rq35cY06MQChgZ0zIm/A6/WittYFZ3QEnE4HoDaw/DZWos0xNptdY2bf1sSbs//Gfbd5TvATSKOnUO6ZUM7RNA3llRUQRRFOhwO1Lhfq3PWwW22QnHYMHJoSSrf8HI5Ar0aAE95evXx88KEiwBXeUJEDzg1PxgWRKRjFFd5Og5iX/gM4Km2wDHCjQLdghFWCUFQBPSEKgixDIA1Y0EwVlmLRGiRX9ooAVRSgw2C/0bvEV4k7C1RCK6jkmhqu+Z7ZjEb90O/mOyfeb/kDDAHQDIE9n1Ccg2VG6LUgB2V9mI+TV6OhNLzOrtPod1EQoBvm+EnBpnbiOTivoBB9UrGmGQiAx+2BphtwyCJsdgf81I9hsLkLpHwTEGzAOhtAYy4v0CRoIDSe4DknMSB8RHYe9UV90skNn0nYXNgnlAZmK5hdUT9B7BvG0fii7BCGjAGDxtjobmHXYEOi6wVl+xY8/KTkz85lwNOcG5b15Hkn+g6+6a6vR25eLqIioxHw++FwOFBeXoZwZxgiY2MQFh/T6XuXn8AR6O0IcMLb21eQjz8kBFa7CvB0CffwhgLedGcCro5Kw5iD74Zyer895/3BizE9OxVGABgyaAu8Q+bgnMx6fJooI6a8GuILywC7BThrLLQpaUCUE6IhAozMmWQHhmqSW0GEboiMIjLCR+9pmul5oLqxdHxQRjZ0HSoMBASDdUVsjYinDBGKIEAzDASgI0DHwADRbY3xZ5NyK4YAueHBqKH5MMneCR5pEjEibycZ2QkPBSNkTdTkBkYa7IDmIIgm+WMPU+E1uadJ7Orr66FrOiRFgcPpBM2rgZAz0kzksYEQBsmtebM1DJKwaiqts98akdEGmAnTxsScrsMsJqAPAua4dDomSNjpNXJk07MOE1N6Vk/8DgSCuOjBDxENZJ9gIbxZo36DJPkExw2+bpLqILw05iCHNz/wBJc8+OGDXvO73fDV10ESRUiyxH7X1QAGhDkwKnFgv/13yCfefxHghLf/rn2/njknvKEv/3hbDG6KHYmxB98JvZN+duYlkal4O3oJlv9Gw8TrRKSP2getIgvbhl+CK7K8uCdOwQPRIrBqD4SPN59EJy4COHss9PEp0BIiIcoydC0ASZMhSJLJwHyAQGxM8gMWIscyDEYeNegGEVMRAmNyQbLEiLFmkmRRgCBKAPWlBmDQe/QIqo4BUYQqidAlItEiREFkRNkiCPAZOuqhoQ4aaqGyZ4+gwwudqdCMiEGABCLXAqwQYIEIByTYDREOQ4LVEFmBD3qfjmsgbw18tcGnTGN31dVBV3VYrQqsDnsTidgkrqb0aX4gCKq/jcluAwY0KiK+weNPGKEZQEHCHZTLiVQLdBxj1A2KapBpNrc5NCHZQbAbCHbDe4wk0wcVYqgmQmzUjKzTMynNwQ84jOCaxwQPOTk/OiSoWjeQ8CAvhhZU+uvdbnh8Hvj9KgQivP4AnJGRcMgSYu22fvYvkE+XI8C+3empWxP48nAEug+BNa5CPFWyu/su0Id7HmmLwg0xwzH1UMdyZ/swFB2emjrhLnz+CxUBDzB6qYgxM49C+PIR1Fz1An5VLuPzWjOxYVmygomSDuGlFUBGfsv+IxzA/HHQJ6RCGxQOSbbBp9VBNzRYdSckkRgvgBpAcJs2B1h1wOEDbDogW2AwWdTPCJxuEDmWIQgS41+mSGwwfifoRM1MYkzvMWIsEzHWYPi8MPxeIOCHoWrmV/xMZjTJc8BigarIMGSZvUYqI1OUITBCTETZxYhyAJVQUSEEUIYAI841wYcHqqkku/2w5lciQhUQOzwVS9VoxDvC4QepqKZ9gxpTo4k064BkCJAEQBJExmslUYBIRJCUWj2o0OqmfaHBUcD4L9k4dCPIhU0V2ySiJjU1Fe2gp4BxZlLUCZuTEi0j3GxApvXB5KWN5G1TCmdqNrNaBFm9+XuDwk27EemDR5BoNzD/BgX9BDFvdIucGKgBt9eLjGN5SIiLRkREOPKLSuFwONnB4bEDEDMwucP3Lj+QI9BXEOCEt6+sJJ9HpxD4oiYHL5Qd6NQ5/GATgTRLBO4fOBmJ+17jkHQAgdIRt+DIaxKKdplEafgiERPPy4PwxW8BSxj817yAIQfrT/Q03S7i7QEibMeLTJuDdoq8XpuFEWBj8lCoSZGQFQdcgVL4jXpIggKHHgOLaCfmB1QDQrHAyDAkAGEAonUgwgtYjCAZ1gHNDeh+RvIMwQ5dsEEQZYiiwAhxIGCYxDjI1YgMK1AhCbrppmBMUzbn4/fB8HpgeOph1NXC8LiZikoKdIOyLCgWCDY7BJsNPqsVmsUCg86XREZYiSiLuoGS6kq4RQPhDjscFhv8QYvGScpLKrHpvZWYakzjMkk2kWOya/igsYcKBB+mGt3gGzbtGiaFVgxTeTafzb7I2kHclsbVoEYzGwLDwjBTNAwBOsmswQ8PIGLdIJoTYW60144R6iCrNj80nHCisM8OphBMxJl9AmHPRK6Z95fMD0GibRLxRv4Sel/XUVdXh/o6FxRFgSJL0DUNoighIia2A3cuP4Qj0LcQ4IS3b60nn00HEdjhLsPvC7d18Gh+WGMEkhUnnkiejcjd/+bAtIPA1ylLMfTAQOx64yRpTZktYPpVZRA++SU72zfvp/g0cjJ+WuBr0tvjAxR8L1aB8N56YHUHI/SIhS2cCGNyGtSUKMgWJ+rUUlT4sxl5sokRiBKSYBHCIMgCUAsIpQCKBKAMQABAIoAEIsMaEO4zybBkhaH7gEA1oNWDMTjRCkhO6GIYIBIpJhsFEFAN4rnw+EyRkr6VJ0cEuSYskgZF0kCXFiR6SBBkBcYJYuyG4a4D3HWMHNdVVyIrNx+V1TWYPnwI8jx+JJ19LiIM1WSZigJDVqATUZaDfQkiJFFiPmUipj5DY4TXZ6jMx0zEVyWlt9GmP5Mkn7RfENEl+wVxTnomLmoSZh0+GPCSfQM63KC+Tf8zafQnt7UZQYuGaecg0m41AHvQxkF9steZl9r0RDOyTmQ26As2rcykQJuqM8MySKZp+ifE3qAQ3FgcNn82cCTrIHx+L0YMG4OsvCOICI9EVLwdg9O4h5f/z6v/IcAJb/9bcz5jAJm+GvwibyPHIgQEBsh2PJtyNuy7XjrxBz6Ebvr8KbfHjsaTyjx8/XDTAhMDxwNzb3NB+OAnJzCovu5V3JgXwC5PSzV3c4qCFLcbwovLgMKWldvaBXLeOBhThkEdEg3Z5kS9Woly/1FGgi2iEzGWVESLg2FDBESLBMNlMPIrFApAOcwHTYFEwUEA4okMq4CTyDAA2QaDVGFfCeArA4gYk7VCcgByBHQ5lv1MKjGJkIEA4Pcb8BIp9oI9UyNCTI4JmxWwKRojx5JIqqZpD3D7/HDabRA0HYKuwnC7Yfjc1JlJmIllBx+GSsydzpMg2mwwLDYIVhsEiwUgRVmxQJcVaFZ6JjVZYoqzKEiQyf9M4jR0eKAFLRgqfAKRZtrQZ2rKLFM56E8mskxKsoV5lU1VucHCQT+TOkxKMvVJpNnbiDTTNdzQmQearB4nPdBEfs0NidQXEWMbBNghwgaZeaLDDBkWXYBVENnmQguRfVKhCU9SeTUNsiyhzlXHkhqKi0sRFh6OqEiS93njCPQvBDjh7V/rzWcbRKAo4MYdOWs4HiEgECVZ8GLqAow78A6y/K4Qeugfp+hT7sIHd5AU13S+0WnAOb/wQnjvrpNvJE5A8fxfYUqGu1VwroqS8UyMAHF7JoQ3V58egLNHA9OGIZAWC8nuhFerQbn/OMr8R1Hpz0GcJQ1xlmGIlgbDjmiIigTQsMqbkWCyATc0IsGkDMcBiAoATtpAJ8CQbIDqArwlgDcH8BUTQwZkIsORgHUADCUehhQOiAokSYRKCrHfgM8P1NT6sWvXLsiyA3Hxw5B1fD8uXToNrjoJxFMVyYBFNiCJGnNt0Ff8IjFnSYTBmLUPho8eRMi9J8lxwAfQ6/Tc2jYWSYZotcOwWk2iTCTZYjUVZYsVqmz6k8l6Qco2KcpElInUkqJMpJXUXyKx9KgR6DXKvwimWzASK51QkE0iK7EHqb9EnE3SbD43bOwjpdokzaQyqyeIMxHmevZQGWkuKylBaXYelMEJcFVWw+f3Q/D44IyKxPn2RMxLG3169xA/myPQCxHghLcXLhof8ukj4NL8uCFr5el31A97cIoyXhlyDi46ugyUdsFbSwSqR96G3c8LKMtoxnYBOOKACx7VIbx9S5MTPRf8ES8aifjf0qA62QqwbybKWBAmQ3jlK2Dnsa6BfvoIYOpwBNLjIDqd8Gt1KPdnMRW40p8Nv+FGnCUdCdZ0RoKdiGVpESDCWxEkwWSHoIe3lSHRt+ekDJNCHO0DHAFAERnpNfxVgK8I8OQAnjzzZ8EOWKIBewq8dJIlFqI1Dj6/AbvDHtxIJgSVYgG+gMh+Zg/V/Oqf2TesgEURTGKs0CV1KLIOiflgSfwVWfaxoapmQoWPFGIv8xyzZ6Ya+0/8zIzL7TVGjG3Mj2woFogWG7s4KcuaQg+TKAtElNlGQZERZdXQTyjKjCgbGupEHVVQmfpLrxGRpWZaL0xPcRhEOCEz1dckzCJTmGVVZ2qvEVABv4owuwN2WWE2EPJBRwhBj3V78+HvcwT6EAKc8PahxeRT6TgC9MXxpUeXdfyEbjhS3XQA8pyxHe5ZP5IH/zP/heWh70McFMs2pagfbfh/9s4DOo7y+uK/2a5d9d4ty703jBu2AQOmht5rCJ3QEkggkBBCEgj5E0KA0KspCYQOphjTDBhs3HuTZPXepe2z//NmJFu2VVayDNie7xwdmZ2v3hmhqzf33Ufwuw3av80jc7CefxSK3arNGfh0OYEPl2hJT6apI7GeMXvXbPGwV96z44sD5/CbosU8UbNhL2Y5MIcuzTkD13dxrHtjT7IrJ7Y44OR/mVBevGgPAFrPn8dhW9yUBzofKwPSLPBJhpnYijoUSWprcvcvkONz4ZAhBIaloEQ68Yc81PryqfRt0SLAXlWP6sdZs0m2DyPOkkVUKBmzxaZLH2p3I8E78/H23GcGIIRYI8MeiAhouoaQ2Q6+Wtz129my/ltSoz2YA5UU10cwfs5NbQUmJPVMfpIVQiY7IcWuJ8KJ/61f1YpUeH0KPr8Zvy+EcD9JuBN+27FZbToxttkULOYQVquikWOJGpuUkEaMTaK1kEhwIIAqxNjfRow1t4rd5BT+jqHv8G6NYhUdh0STI8Aq321aEmE7UVatVk16oZ3PJNpkM1bFhE+IsqLiDumEuDkUoNkUoqi2ipL87VjTEmj2umnxeamvrJb8OS7OmcDkzEHhbczoZSBwACFgEN4D6GYaRwkfAX8oyPl5C3FL9seP0CSj2/vbx3Hc1+G1djf7EOsn399eIdTQjO2mMzXCG/xqDYGv12C79lTtFa7/0XdQhmdhPX4qwY2FBF5ZiPXGM3QPzsff1QivKad/klUeyJqBWLtdbshCdrlrv0uaxE3+Q/j8nu6jgac/aUZ58eIdfrc7Jhl5PKtHns2xeZ2FSnd9QH6VaOHX8WaUj5fDu0v23VM8MhumDCM4PBWinQRDfmr9BVR6dQLsVut3rB1lSSPFPox4azbRoVQsImmQVtfmECGKBtEEN3a93bLmMhw2B3GD42iOaSYyI5JgVDM+k5uImFg9YU6KTqgeKfGgZ8WZdB8FLBEQdOs6YtXT5glmRkUS7CSxzqqRxmBQbSO/Ch6fuKspOwixEOPOxOliHCGkWIsWa1FjnRhbzKpGjMX6TEsElMhqIIAiUWNNUuEh1NqCIhZuHcixpjlu90Trw91TVZUqj4+4hHhaggoxsTFYnZF41CBWhxP5O8Ps0CPMNrtDs42TJD5fKIjL3GZf14d1jSEGAvsrAgbh3V/vnLHvvUKgRfVzY+HXlAc610z2dvJQsxv/8x+hltVoQy1HTsRy5ATt38HlW/C/8zXym9U0LAvrhcfgf+p9gqu2acTV+stTMMVHd7tk4L3Fuu3Riq1YLz9BG6fml2nRMFOWpNSD/6Ml3AOHBAAAIABJREFUUF6H9eK5+J77ENOgdCwzx/b2KGH1vyRhONm2SA7duG+8eKNK6xnz4nd885u5Ye2nvZPZ7WPEWytJ2FKJalIonpZL/hxdr5iyupjcTzagBFS8sU42nDaB1sT+S96JN9mpGvNz3riq5z+iTn8clFevRjPm3a01nfYQf6h38t/6nueRoQsyLYxUgihPfABby3qFV586D0mHqcMJjkwnFOPU7LFq/dup9G7WvrcGd02sc5riSXGMIME2gGjSsYlkoaNNWjsJrtN3833F91S3VpMRlUFhYyHjk8eTEZnBisoVDDplENFjorViG5qvmERdTSKREPNdsX2QynStEJA/GPw6+RSfYUmiMwnpM0GgWbdek5J3WhliK6pcM0WgmOya3EAIcSAgXwpenwmfX1M96KS4XTbRFXgK2EVOYVEQFYFNeLhZSLKQYinIEUIx61rjkOgvtIl9WuRY8bpRxbrNr2uP5bumNQ7u+SyU1taxPG87mQlxuH1+hqSlkBgdRWVDI0u2bNPUwtlJCXh8fvIrqpg2bDDl9Q3M+MU1fbrtxiADgf0dAYPw7u930Nh/nxBoCPi4u3wpmzxiSrr3zf+/Lwi1erBdNBe1ugHvXc/juFvXaHr/8iK2356LKT4K76PvYB6cgXn6KLy/ewrHQ9f3uLhaUYf/yfew3Xoevr++tIPwdhwoa/qfeA/L3MmYJw3F+5d5mCcNI7Bss+YPZZk2CssJU3tcK9wOE52JXJE4ksw188Id0qt+fSW8w95eibXFy/ozJmFr8TL5kc9Zc96huBMjmfqPBSy5bg7uBBdZX28leV0py66Y1at9dde5ZfgVfHO/Sn1hz1Oe/mgQ5a2bwd3G8nYbErrwRTLWdacF2HXADJeJeckm7JuKUR7/oOcN9GePnGSYNpLgqHRC8S5NP1vnK6bSt0mLADcHRdy7a7OZIkm1jyTRNpAYzSbNpUdHG6Apv4mW7S24K9yUlJQwNnEsMfYY5ufP57ArDiN6UBvhFalzu/JDVDwStBReKIqCNh0vZi9YxGPYopvr+uXn3QtB8RkWMmxFkSi0WKyZIgipbpRAQ5sXcRvJlMp1Jpf2pUeJzVrxjmAw1KYjBp9f1xS3yybCkfsKIkKI7RIplqixEGOJHAtRliQ8qZShWboJkQdVFhBy3BY1bq6tpqS4iHiHg6rqahJdDmKsFr5ct4mMhDhqGptx2Ky4JWFNUYhzOTHb7Iw+6XRwRPTnE2DMZSCwXyBgEN794jYZm+xvBBqDPv5ZsZqlrWJCuvctJMUBgkEUCedI7s6dz2K96BhClfWoK7diu/pk7fOQpJ5LJMrtDZvwev/5PyzHTcE8LAvvn17Yg/B6732Z0PYKTLPGYj37CC1r3HP7U5iyk7Feciwhjx/fA69hOXkGlglD9v6wQIRi4YWBR2rWZOG0+M3lDH1/LaZAUCtTu+X40dQMT2PCM19TOjGbivFZ2jTt/92aHMWYl76jakQaKWtKUC0mLSJbN0iPZnfVEteV0pwWg0eIFzDu+cVUjUylNSGS4W+v5NubjtY+d5U1MOnpr/jyjhPC2X6PfdbmnkNwYTSbP+ymSESHWU5/JIAy/w5okvDmns0/7UoWJE/jsqJdvXl72siDaVbOjLfBy5/Dl2t76r5vrmckwPSRqKMzURNdmjVYg7+YCi0CXEBToKLTdVtqVbLjxpIZM4wYJZ0IU4xmk1a4oRBbkw1HrYPYWbEgXE3IrnwJsRUPrnbCKwHzdiIscl7dSFfvIy9zhAwLSTarYPVrhhGaPkG0wD4hus0Q8oAkdZmsGsEVIqxFh4V4+hpBCHGgiVDIjyL9zDZCihPVHI1ilui1+CroOuJAUCfDHQlxwK8T5d40WVojxuKqJiYXkoynRY1VLCa9Apzb3Up1bQ1Z6emYRPIhkgm/D39zE2prM77WZux2B44R4/T/BxnNQOAgQ8AgvAfZDTeOqyPQrPp5umoDnzR1Ur61DyAFt5cTfO9bQk2tmlZOLanGfv1pqHllhMpqNJlBxyb9wonwBhavI7SlRCPP0jojvPK5zOd/9XMUlwPrOUfqEd4Tp2EZN1gbF5j/HaHGFu1af7Unsw/n0E2vU+Rr7nHKqQ8sYOOpE6jPSSSytJ6sxXlsOH1it4R38kOfsvH0SZQeMoC0ZdsZ+NkmvrlZxyGcJvKG6Q98wvLLDsMT5WD6/QtYeekMmtJjyVm4gciqZtaeMzmcqbrt82DqYZzVMIqv/hFGFn/bTKc95Me08C9QW9Dl3A1nP8OlpSqLW8Kft32ypdkW0ptbUB77ACo6jyL3dPBlrZWa5GdyRDLJVmdP3bu+nhQDM0ehjs5CTYlCMVtp9JVS4duoRYAbAqXa2MJ19TTXeYlLc1Jf4SZnbBwRkVZMVVkMyxpLnDWLSEs8ZpuVkD8EXikBLG4PbYRXJhFC2/72X0iu5hPcgexKH4n0ymf2tutChIUoyzjNwFYFu79trAVUcXFoAG8toZAXRdMMS1KZU3eUkO/mCEJBDwQawV+rkWdNXyzaYq1ARxRBc5xGiEMmm1btTJdNCPkV2US7hliXTEggtzO3tI4gN9TXUFlVgtVqw93awpChunwpv2A148ZMpLW1lsSkBC0RL6T6cTltmM0iqRA+bxDevj/Qxsj9FQGD8O6vd87Y914hIF6Zr9Rs4fX6vL2ap32wRHQtx0zGMmO09pHn989gu3gualU9wWWbsf/yVO1ztcUNXj+K1RIW4fU99g7q1hItM1taqMWDEmHHetFc7TMlIVrT82pzbynG99InOP54Cb7H38E8dhDmaboLhH/+t9DiwXrm4f1yXpnk96mTeLV+G/dXrOpxzglPLqI1KZLCmUNwJ+zUzXYX4T3ksS/5/I8nERJv1UCQI+54my9/fwJ+lzCV7pvJF2Dsi9/RmB1P3lG6hjd12XZGvr6cgN2CajOz7PKZuBOjepqq2+sjHXGsyD2bd64LT2/bPtmpD/owL7ofKjd1PX/iYOqOuZNRG/umMz8v1sLfEhRM321CeeWLXp1zu6+Jv1Yu48K4YSxoKmK2K50jozJ7NUeXnWOcIMUwxg4gmBaNyWKn0V/GlvLlVLbkUdVQTHVRK2lDoomKt1G4voHEDCeR3hyOnnguIocIqF7tS0osWEMOTGarHu31hFCCHUiwEF6R8woR1g0ddpJdYX6iGpEguhb1bbsmY+QRk1sq12W8jNWixUGw+fXrEm4VaYSvjpBPCm4Ia5aSyVIaOQLFEqWTYYkQS1k5IcPy5RNCLDIPpU1SIc4MsTohtkjVOhsmswVVFTLcriNWxF1Ml/u22a9tWL+CurpqLGYLNnsEY8ZMwefzkp+3DrvDSX1dFcFgkJjYBAq3byYlJYuMzCSmTB6slYA2moHAwYaAQXgPtjtunHcHAm/V5/N0df/YarlvfhTbdadiHpBK4Lv1BP7zGdbLTkBJT8B39zxst5yNKSUO31PzMQ1IwTxrLN6bH8X+j2t32IiFc2s6Rnj9b31FqLASy+UnaBGbwKuf6zriy08kuGIrgfmLsd14pia18N3/KpbTZ2MemxvOMmH1OSVmILmOaI7c/E6P/W3NXgYu3EDSulICDiubTxpL7ZCUbiO84174lq9uPXbH3Ef8/m2+u2FOj4lmFreP8c8vpjY3kbxjdMIvUeVx877VSK7IHZJXFzP44/Us/tXRGqHua/OMvJLP7g7S3EtlzMn/8GFd8giUdv/HQusxf+B580Durui91VX7mf6bYeEwpxnl6Y9gVX5YRy3zt3BnxVLuS5uGy2TlwapV3Jw8gedqN3BEZCYDbLv+obDBU4dU4IsXz7XeNocNDh8D4wYSyIzBbI2gyV/OqrxvqPVup6a5lJYGH0dPPpPoqDhK3WuItiQTbU3HZY7Hbo7UKsaJf7A/5MOkVTqLwKzYdCLrDqH4JSrbFgkWsiq3XMhsR/mDyCLaty/XhL8KiW6PILdHhNvlEfJiQ25LO4kWMqx5DCuapZjmFuGvA18lIfmuCBkWrbAT7HF6JTqTk5CUZQ6J/KBR7+erRhESHQqgiD2bJZKQJY6QNVEr46yYHLpNGhIVDtHU5MHvM1FcXIwvIFZsQRLiM8jL20RTYz1paQOoqSnTosoxsTaOOWrv32r09hYb/Q0EfgoIGIT3p3AXjD38KAh801LOPWXL+2XtwBerNM9bib6aZ4wm1OIm+M067L85BzW/nMA7XxMSl4bh2ZpLgxBU74OvoxZVYrv2FMwDxZm/59aR8IZ8fo1YB9fkaQ4O5tx0rOfNQYnVI6hCiMW6TKLJsifLidN6XqAXPTKtLu7NnEbsyqd7MQoSNpYz+r9L+eL3J2jEtGxCFhXjs7U5Dnn0c4qmDUI0vJMe1yO8IhFRAkGOlAjvH07E7+zaUsnkDzLxqa+oGJtB0QxdziEte9EWoovrWHvuoTs+O/L2t/j65mPwxvXtdX3+oAupecdB/pdde+Z2BcxJ9/mxr34SCnu2E2s+bx5H57nZ7uv9Ou3r59jgg3QL0SXVundva9faYCmCIMUQlrZW8HjNen6bPIEh9likWMsVxZ/zfNYcbCYz+d4GTIpJI7/y+e+SJpJj795tJKwHRcKPR44lND6XYFYMZruL5kClFtmt8edR7lmP2omdV6w1gxhrKhGWeGyKE6vJgTfYRCDk0yLBNtWJxWJHCSmEhAR728KcQnTbya5Ec4Xstssb5HMhuvIlUV65JkR3R8S3w3V5LAVWsSkW27X2PjJHZAAcgbaCGzbdKUKLDFdo0V4lFNKkDhLhDVljUawxbYS4LTrsb4Jge3S4WiPSIa2Esx3FGkfIloBqlRLOMZreWIt4K6Yd9mviNNHq9hMdaSEy0gjvhvUcGp0OOAQMwnvA3VLjQOEisN5dy29Lvg23u9GvEwReHzSXoWtfQV6Bd9VEXjDpyUWsPn+KZgcWUdvClH99yud/OEGzEPO57GybO4qI6iamPvgp60+fqBHeQx/6lDXnT6FydAapKwrJ+XzTjqSzrtYS2zFbk0fTC3dskjQ34o0VLLnuSE0SEb+lktEvf8eiO04gZO49AXgx4yhmleTy3aPhJantvt/j/xrAueV52Lao5+dqyBw2jL+YOdv2vsDErUlWros3w/zvUeYv7XTtN+q3YVPMnBiTQ563gbsrvufZ7Dm8Vr+V+qCXyxP0qPldFUs53JVOnNnBC3Ub+b/0GT2fpa89Zo+BU6ehKiomuwNPoIHGQAUNwXKNDAc78dM2YyHWlkmUNUVLgJMosEkxa4UzRA5hUizYQjox1sK/rSEUj9ghSIS2LdorJFYiuEJyRVkit7udIEvynFyXz+S6GEB0JLkyrXwJWZZIcTtZlh8VeeTa13CJRCIANrNu2+BrIiQ6YH8leKt1ciz+wSKRsCeCVaLD4hghyXQRuudwsKmNQFdTVVrAlrwCMpMsBJQIrPYksMUQnTAA1ZJMfKLUgTaagcDBh4BBeA++e26cuA2BQl8T1xaGQTgMxLpEQApQvFCzibvLlnWLUtr3BQz8fDOKqhK0mtl29EiqRmfgKm9gzH+WErCZaUmOxurxUzkqnZakKEa99j01Q1JI3CjesopGhBsGJna7zmH3foit0b1D8yydi6fmsvnEsRphTl9aoL3mDkRY2XzCGOpze//L/4iodN5P/hnv39w73W7Hjc+9K0hU8SuwKbzy1o2nPMhfmyJ5oa7va3Zc/9MsK8PEZUAszPJ2dYqQSO49lcsZbI/BpVhY3FrBPzMO45LChdybNo1Uq5Mqv5sby77ihaw5/LVyOQ1BH1FmKwOskVwUNxyT2Ab0Z5s6HE6drvv3RjmhvgWxQAg6TZginPgCzTQGK2gMlNMUrCCgdm6DYDNFEGNNJ8qSgsMUrckhQiEVj9pAQBLSsGDHpUWItapmrSGNzO7QBbdHe4Xsyt8fEsmVqLAcV4iwfN7eR+QOQnKlj/y7PYlOXsC064SF9LbPI0RYSHW7hMIVgkghw0HdmsFsIuRrQgmIBriSkJBhIcayuDUGRYitNR5v0IEtIoZmdxDFZCHgacDXWoO7qRJz5AAyc4b3550x5jIQ2G8QMAjvfnOrjI3uCwRO+pHLC8uZfP/9jNCmok6PZznrcMzD9df9P8V2YfxQBtljOGTj/36K29sne/KPvooPbgvg7aZaWE8LH/k7hfi612Ddez113XE9eOGL5K5vQQwK+qMd4TLxTLIZ24btKE9+tMeUGzy1lPpbOdSZjCR53lTyFfMG6LZuT9asw6FYOD46myuLv+DfmbNItji5t3I5h0Yk91+CW/uufnUqREZAhA3iIqGhBfxBcFjBFQF1zXrZX3F1cEbgD7ppDFZSHyjVIsB+iYJ20RzmKEQOEWVNxm6K0shuQPXRqtYTDEkk2Io95MJuitSSyUQTLNFcTRLR7vYgRLdd/9se7RWS235dXPLaiXBH2YMQ3HYiLGqQ9oiw9G3vJ0S4PXlO5pO5RELt9Or9rW2OC5pDRB3bNq2ksb6cgakmyspraA04iYxNJSo2jfQhM3XLNaMZCByECBiE9yC86caRdQRaVT+3FH1LoejjjNYnBMZFJPCrlHEkrHq2T+P3t0Flg39OwX8sFC/dO9Y581dmUoLvwYr/hg2Bf/IlfJFxOBcV9s6bt6cFHk6zcmq8DeWFhfBN50mcwZDKHeVLyLK6tMS0l+o281zWkbzfVIhc+3m87oTxSPUaBlijNDlEV000wl5VytvqntVhtQeugO0VsL5IqybI6AEwMAXio/ToZ6MwxxBIAlyEHWqbtPLDqsumWfWJjrfRX0ljsJSmYCU+SSjrprksCcRY0oi0JGE3u7AqTvwhNy2BalQCmCQSrEThUKIwW2yEPKoWyVWaTHq0VwirENN2AivLyf9m2h3i5OgiHZev3fuINEJIc/s8QoSlX3vSnOxbrst88r3daULmkb5REIrw0OhtwOZ0YrNbqS4roLmhnIEjp2GSRDijGQgchAgYhPcgvOnGkXcS3ocr17Ko+Qcox3qAgu5QzDyeM5u5m9/j+9Y9K2r197FTlxeS80XnVl5lE7LZfviw/l5yx3zvZh/PqE2ZLHuub7rdjhubdo2ZDOdCWPJcr/Zbd9ZTXFsOnzf33pu3u4UkyLgs20xyfTPK4/OhuvPwdYG3EXcoyPuNBdyYNI7zCxdwa9JEJjiTNOJ7UeFC/p4+nXSrXvhj97a8tYoHq1drjg5mReGmxHE9e/yOzoHzDofqBkiL16O826tgWykUVIDLAcOzIDMBpES3x6dZ8IkEQIv+Wkw6AQ6qqFE2iHQSDPlpCVZRF9QjwN5gz1XtdnWGcGlJdJ5gA03BKtRQENEMSxQ4gljMZhsSig81hVBqTVqinCZjEDlDx2iwkNb6NvLaHumNaSO40l++2smyEGHpL2oNmUP6dSTV7X7DzVBbXEtlSSUWn4W4iDjKAmVEZ0WTLcmhhgVvr37mjM4HDgIG4T1w7qVxkl4iIDG612q3Mq92cy9HGt07InBX+mSWtlRyVeGXByww58UO5rGoOXz0u/4hmpMvNTEgdTF89WjvMItJp+nE+xi2oWeC1ruJ9d6Xxln4U7wJ5ev1KK91r28XDfy7jQWao8PP44bzn4atlPibuS15UpdLNwS9uNWgpgNe1FzKZ80l/CG1B5usa06EAcmwuRi2lGraXS3Cm5UECdE6Ed5aBgXlurY3MwmGpkNyHMRHQnUTeLxgt0FUhG5VJmNCIdQoO0Q7kPoVTb5K6lUhwFV4JAksjKY5Q9jScJhisSsurGYH7mC9NofIIiyKDbs5GqcSh0WKVQQVjQSb6kw6kdUcHDoQV4nSSrBa/t4QIiy3uV3G0B7p7VhMQ7bZHhFuhZAjRGmglKiUKFzxLpq9zTjjnNRX1WMNWYlNi9XnM5qBwEGIgEF4D8Kbbhx5JwKr3TXcXvKdAcleIDDBmcilCcMZuPalvZjlpz00OO4q3r4+oNUZ6I82/lwTg4eugs/u7/V0rXN+x/8cQ7i1LLzNWKtKcRZupWn4BFRXeIU23siwMMWhoDz1Eazd3u0ev20p563GfBItDq5NGEOEVBcLo33aVMxXLWUa4a3wt7LcXUWJv4XTY3KJ6+jne/9l+h5S4iAlVvOV1ojv5hKoaYQR2TA4HRKj9fJkkoS3rRxK2t44yPVBabr8wW6FynpQQ3qkONqJVtFBCLAqBNgB8S4kICvyhfpgCU2BStxiCRZG6+gM4TTHYjM5MWGmJVjXRoK9WEx2IswxOInDKpXapLWAIiRYJA8SgZXIrURwRX0gXYSkt2uDheAKKRbiG9cmY2hzjPAGvNQU16C0KgRrg5QUlRBvjqdFaSF9UjrJw7ovzR3GEY0uBgL7LQIG4d1vb52x8f5AoEH1cUFeeJny/bHegTrH0wOOYOrGN8j3hUcM9iccaodcxpqnFSrX7Z1ut+OZR55iYsSkTSgL/tInKJrOe56T8n1s9nYvrzA3NzL4nl/SOH46ju2bKTnvBnzpA8Jac6hN4b00E66iKl3m4Onc+SCsyTp0Kve3sLC5hEUtpdyRfAiZtkg+bS4mqKo8VruOl7KPxtFOmiWSe9mx8EyHpLqMRBgzAFLjdTcOie5uKtZLKMtnIzIhPRGiI6Cwqi36WwFeny5/GJkNmYk6AdbIbqM+j1wTD+tWj64TFqeJmAjUeLEAM9MaqKEuUKwR4NaghF/Da+3OENHWVM0ZwiqFJ4TjBmo0WYVPbcWqOIgwx+FSEpD+7TZp1CsotYru8iAfC8FtlzFINLhdyyskuBEqKyupDFaSmZuJPd5O0BpEtahERkbib/FjjzP0u+HdNaPXgYiAQXgPxLtqnClsBFRCnLHtI/ydGNmHPYnRkTPiBuE0WTgr7+MDCo0vB5xKyvIkVr+697rdjsAMOcbE2CMLUOb/oW945UyjYMrVTN/SffKVraKY7Cf/wtY7HkX+nfnC/Wz79f0ovagte2eShSsSrChvL4aPV3S539agX5M3SFGKztpnTcW801igJb0d5kxlhittl75v1edRGmjhmsQxO4f/UgqPAF+s6XxdifoKKRYCK8lrQn5F+lBao//3uIGQ05bc1tAK28ogv1yPDEsTTfDQTEhtkz/UNOl6X5tFj/4KAa5vbiPAJohz6gTYatUIsLhASBKckNfetB3OEJZk7OYoLRIsEoiWYC0tgSq8wWYsJgeRlkScSjx2k2unTZpwcYkGC8kV0iskWKLBDghagvh9fhrLG/FWe7XIsanFRHltObnH5xIn5zSagcBBioBBeA/SG28cW0egRfVzR8kStnrlt4fR9gaB/+XOxbHiib2Z4ic19qaEsfzeNI2Ff+of3W7Hw+XMUJh0aiXKO7f0+czNJ/2df3gSeKxmz8ira/33WnnblqFjyXnwNmqOOJmmsVO1aG/+DfcQdIYnbei4uUVZFnL9PpQnPoDte9ZS3uZt4NnaDWTbojgpOoe0Dolr8vkXzaX8I31Gl+WHf1H0KX9MmUxWx7LF918OHy2DcvGb7aFJxHbsQF3bK3IFSWjbWAyFbXsV2cPQDEiOBSH8cl0IsLg/tDe5LvKHxBhw2qGkBprcINX9xA5NCHBVo/65WSEU5yKUHIVis9Pqr6UhWKoVxGgOVPe02z2utztDuKyJOMQezeTUor8yl3yJV7BEh6PNSUQo8Vofs8WK2hpEaZBIsInF3y0myh7F6PGjabQ0EnKGsEfZUSIU7CH7Tuu0Xu/OGGAgsP8jYBDe/f8eGifYCwQkgebxqrUsbCrZi1mMoYLArakTNBzvLO28gtf+hJIFE74JV/D6Ff1T6GH3s6ePh2mXNKK8cf1eweK74EXGbGyhabcAdMKnb2qa1JqjTtOkDBkvPcjW2x7GVl+NPy6J2CULaR46nkBsQq/WPy7KzGOJJixr8lGeXdDpWPnjUZLZmlU/cyOzmOxMRqRD7zcU8FVrOYdEJHFidA4p1p0lnVe4q/hP3Rb+lj5955zjc+GMw+DVPiRDimevjJdkNylUIQR9Y5Ee3ZUmbg6jBkBGAiREQXF1W/S3AlraouaS5DYqG7KTdbIrut+iKvAH9OQ3mUO+i/yhqFqvlBYfRTDZpRXD8PjrqA+U0Rgsp0mqpvWhRVtTiBZ7NGui5g8s1eIkKa4pUE1rsJqWQB0OcyRRlmRcpkQcRBEIhmipa8Zf56duex3eeh8+1cfkMybrmmCjGQgcpAgYhPcgvfHGsXci8E59AU9Wrzcg2UsEMqwu7so4lNRVvbPa2stl98nwxqGXs/QhqM3rP91ux40mDIbDb/SgvHrVXu0/OOEsvht4AmcUSLmvnc3cWMeAJ+6m6JJb8MWnMPz3l7Dtlgc0ghu/6H0SF/yPgmvvxpeS2af1n0izcEKcDeW5T+C7zm3ipGLbR02FjLDHMSpCJ9ZqKMQ3LWWs8dRydeJoNnjqGGaP1coUz43KYrorbed+bjgZqup7TJrr8QA2K0wcBDmpum5XyK8UepHkNrXtL4VxuZAriW2RulY5r0y/Lrrg9iaR4WGZugyivfiFzCXRYon8CnGWyHJZrW6bJgQ4MRo1NRqT06UR4IZgBQ1aMQyxMutaJqOqKhu+LyIuOZLI6AgcLhsBfwBnpIM4ayaiBxbNr0gdJAnOHayj0V9FcUUeeQXbyEzPJNqeQqwrifiIVCxmGzarXS9yYTQDgYMUAYPwHqQ33jj2TgQ2eeq5ufgbA5J+QOCfmTP4bcm3vF6f1w+z/ThTrBh4NpYvY9j4Xv/qdjueJjIF5v4xgPLKZXt9yIYzHufXVWbmN+0qvbCVbifzPw9DwE/QFUXB1XcR/81HJH30X53spmbt1dpOEyzOtJBQ14jpsfm69rWX7bnajYjLQ1mglWeyjiDB0uZaIElkj1wLj4ZfiS68pRU4ZIguWxCCWlILGwt1ciuRW2kS0R0uut54sFt29fwNdngmhCDLPOIcIXpfkTlIBFicIIQcCykWHbF8LpZpEjFOikE/HGtqAAAgAElEQVRNbyPAgUatFHJDsFzzAg6Gdr5NKNhYgc/jp7qsAUVRSB0QT+HmSibPGaqRXneLly2rSsgemkxCYiyxtkxiJCnOHAMBKz6vn9rmMirqimhoqSLGkca0sUeFB5HRy0DgAEXAILwH6I01jhU+AqLjPSev89ez4c9i9BQEprtSODF2IGPXh19B7KeE3L0pU/l56zi+vK//dbsdz2lxwsn/VFBevHjvj++IwXvGIwxcv6c3b0hVsdWU40tIJXb5IlLffpb8q+/a4dSgeD2kvf4EFSdeSDA6DnNLI46ibbQMnxD2vq6Mt/L7eAXly7Uor38d9rj2jpIw+nlTMR80F3Jh3DAmRCTBVcdpzggsWtvr+Xo1QCK7QzJ0S7OqBl3zK9Fdd1s1O5FGjBkI2Ul69LdSPH/bCl5IeeP2JnuV5DktQS4SFJMucyiv0YtfpMVBXJtuuqRa1w9bzJAej5oei+Jy4g+00BAo1yQQ28u2Ul5cTcAfpLqskSHjMigvrGXCzMHaiqFQiLrKJkoLaomOc1JaUENUrBPFpDBiUpbm9BBnzyJS9L7mGC0KvMMCrVcAGZ0NBA4cBAzCe+DcS+MkfURAfuFemP8JLeq+0Wv2cVv77bBXBh6tEd58X+8jfj/mobNtkWwbegFvXfvDPAdnPGmBeRf0y5G9s2/ireix3FTShTevqjLsjosp+sVttA4aqa2p+LxkP/lngg4nxRffgtnnZsC/76R18GjKT7m01/t6J9PCJCsoT34IG4p6Pb6dyClSHvivl+iR0W83QHP3ThR9WqizQUJYB7cltYkzg1boomynplfGjBigF7WQghdSAEM0wRIdFhLbsYm+V+QPWQkQG6XPIfIHcYGIcYJYq8W6wB/U9cNyTSrDZSaiZsSiRDrxBVtpDlZR4yvCHaph68YiBgzVfXRXfb1NI7hCfGsqmoiJd1JV2kjuyFScUXZWfLmVKceMIG9tGdmDUzh88CWYhIQbzUDgIEbAILwH8c03jq4jUOP3cE/5cjZ5w/fWNLDrGoFz4wcTbbZz0tb5+xVMrcOvZNHfgjSW/jDbPv1xUP57FQR21d/uvvraCh81bpXDsu2Y5VV/F63h3Oc4e7uf1Z7OpRiD/3w1hb+4DV9aNhLZzX7mHlSbnaKLf6OR3ex/34knZxhlZ1zZZwDGOUz8L9VEREE5psc+2CkT6M2MVx0PElkV31whoOLQIDphKQ7xQzUhqyJrELeGVi9sKdGLXXSM6qYl6H3S4/XEOJEztEd/vbs5ZwxIgSFS/a1N6lBWp5Nl8fxNim2LAIsHsA+KKnUCLD7A2UmEMhMIRUdQUlrE1u3r8FkaiUgMUrCthKHjM9myugS7w4IzyoFIIQ49ajgrF21l4uwhbF5ZTIQ5lp/NugSzVtbNaAYCBy8CBuE9eO+9cfI2BPyovFmbZ5QY7qcnwqqY+M/AY7CveLyfZtz302zJvYCmD5xs+3Tf6XZ3P8Xpj6oob94Enl2JXFAN8W2xlxnZDlaV+/jzogZGJlpJjjRz7eRu7MQyJlAy81dM3ixluPZs9pJ80v73BJ6sQUSu+x5vahZFP/8NJq+HAY/eia2hhrrJR1I3/Rj8iR2Sx/oA/5+TrfxcvHvf+Bo+WRn+DFL84a8Xw2tfQWObZOCQobpbQrMHlmzSieUP2USrOyJL1+r6pMpbG/mt7VBkRRLjxPNX9L+iDRZiLJZneRXQsV/7viWaPDBV7ytjpUCGEGCJGmcl62tJBLixVbdVk+viEpGbSigjDjXGSUhRNe1vXaBEiwRv3ZhPdLyL/A3l+L0B4pKjUIMqQzLHMnnI3B8SMWMtA4GfJAIG4f1J3hZjUz80AoW+Jq4tXPRDL3vArndzyjjWuOu4ruinj+lj6bM5qXIY3zz0w5FdufGnPxJAmX87NHXwgQW+3O5hYb6Xuw6P4T9rWzSOddE4F9d9UMt9R8USYe361XTzCffyiD+ZB6u7roqW9N48IkoKKPzFrZh8XnIe/SO++CTKf3YJlqZ6Ml7+F4VX/1GzL9vb9nW2hRyvF0WS2uTVfU/tmhN1p4MFy/fsOSpHtxqTILcQXykt/EM3IaNiZ5Yaq6/cTn6lXHHHJrpg+ZKIruxXvH6lKEa7J3DHvjEuGJ6l+weL/tft20mArWadGLdHhkVDLNFfiQILAR6cjpohrhFCgEOaX29dsEQnwo3VFG6p4tRZv8Bpjv+hkTLWMxD4ySFgEN6f3C0xNvRjIBAIqZybtwBPaN8mK/0YZ/uh1xzliOfalDF4gwGGrHv5h16+V+tNcSbzRdZpvHvjD6Pb7bi50x7yY/rkbqgr3GXPH2xx4w6onDbCxWvrW2nxqVwyPpK/LmrgrFFOBsd3/2q69YIXmbqplepg55ZqloZaghEulICfnMfuwpeQQtFFv9bcAKSlv/wvvBkDqZl9Uq+w7KrzydFm/iXevSu2obywsOs5JaL5u7Phne92Rnc76y3ygCnDINIB32+B1fn9ss9eTyIuDqNzID1OT7CTZDch4WJL1rGJ3lciuukJeuJacVu5YyHBLZ3IWaRqnEg52u3PxJpNor9idRbn0qK8xMdArFP3AC6owFtQRml9LfahWSSPyCUYG4FiMeMJ1RNlS91xb3t9RmOAgcABhIBBeA+gm2kcpe8INAZ9PFS5hm9bdo229X3Gg29kutXFTcnjSLI6eKp6PYc4k6kIuDk//5OfLBjekVex4M4A7jAKefX3IU590Iv5y/uhavMuUxc1BHh8WTN/PjKW51c2I7T1wrEuLnu3loePi8Nl6z75KDj6ZFYMO42f5XevDc565l4itq1j260PEYzSI5bmhloG3XcDRZffgTtnWL8e+dl0K8dEW1Ce/Ri+37rn3OK7K4f9fFV460pi2MzRuv51VR4s3axLAvaiVbQ2sqBwI8nOSGanD8FuCVP3KnsZl6Mno0nSnSSySfR3D/mFoksfhLQKERZ9cHu5492jxO3nGJ4NuSm6nljmlmS+/DLdBSIriWB2Ikp8FK2mEE1bi1CLq2gsECF6CNe4IWTPmKCVQjaagcDBjoBBeA/2J8A4v4aASogFjcU8XLnGQKSXCESYLNyeOonB9mierdnIR407M/TfHnwcKSufozrYPfnq5ZL90r1o0MWUvm6jcPG+KS7R0yZP/ocP63cPQdmez9xfvmygNRBibaWfu4+IYWyKjVafirMHstu+Zv3p/+b2WjtvNnQduTa3NpG44HXqpszRPHnbi1UI0d2bxLXuzh1vgi8zzcRV16M8/gHUt+l0k2LgjxfAE/PFc6sn6Ha9LmRuzjgYmKJHWCXBrY/ODh9uX6cVx1BQeL9gLX+bfgouWy/Lk4lEob3EsfjzCvkVxwexItu9SbRa5AwpMbqWV6K429psz9qLYgCegJ+i5jqGZGTDiGy9gpwUuwgGqV+/jdKVG7A3ekkaOxRTdhKWhFhs4vRQVYsjPUmPQBvNQOAgR8AgvAf5A2AcfycCNQE3lxR8ZkDSCwR+lzZRKx37Yu0WXq/btsfI42OyOTo6iyFrf1rShtey5jJ52wCWPv3D6nY7AnTS333YVz0Bhd/vgZs/qPJ9qY9kl5lB8VZqWoN8U+TjqyIPN06JJi2qBwJjshE8/xmy1u3pzdtxMWtVKVnP3oc7ZyjRq7+lYcJhlJ/yi31OkK5LtHBrnBll4Up4+1u47Wxd47tqz2eoF48jzB7TZ2eHek8rSyu3k+KMYlR8On9e+gE/yx3LhKQsllcWkt9Yw8SkLAbGJIa/JYnIjh+kk3EpRJFfoZNykT/sTuyFKI8coHv+SvRX3Ck014dKVm7bSF5jDQOi4vEEfAyKSSLVFcM2m5+MiaNx5KTRbAnRVFxOsLCKYFEFxZXlDD/vJBJy967ASPiHNXoaCPy0ETAI70/7/hi7+wERaA36tcS1n2I08geEIaylbkgZy5FRGbxRl8/zNRu7HfNo9iz+Xr6Sf1X9NKLnJ0cP4KX4Y/ngt3v3+jssoLrpdMI9PiI2PQ95nRdrkEjj/C1uPtrmIa8uwIRUGzOy7MwaYO9R1iDLeg+7lvnxk7m2uK2IQhd7MTfVE7VhGZ70gXgyc/f2WL0a/2GGhTF2Pa+LZ/ux+EsvnR2klO9ln77E4ZlDsZpMbKgtZ21NKc/MuZDPSjbzdVkep+SO5Z38NZw+aDzjEjNZUVVEYVMtZw89JLwzm8x6iWORM0ihC5E7CPndJu4MnUTiRferVYSLBr+Ke0M+Veu2kL91G7PSB2uR6HW1pcTaI1hbU8bI+DRiRw5CGZhKTE4GLQSxK2YsYplmNAMBAwEMwms8BAYCbQhIxbWnqjbwSVOxgUkXCFyaMJzjYgfweVMJj1etIxDG6+ch9hjuTj+UyJVP/SRw9Y+5ivdvDuDv3L3rB9vjsX8KEln4MmzuPJFr3uoWvijwaPrdKZl2HJauPXi72nTdOc9ySXGApa0/XiS7J0BXDnMR4fPhrKjD/OEyCPXjXndxdtisSws6aVWtTdz89Rs8f7Re+e7d/NUsryzilolHcfEnL/DY4eeSEBHJhtoy3i9Yx+yMwdy++F1+ljuGK0fNxNoXycCEQZrLgh7NrdP3JuRX/Id3a6H0BBSRMqTF4bUobF+yEktpPb6icpwhM1saKomzOyluricYUhkSk0RMbhZZ5x6rV3QzmoGAgYBBeI1nwECgIwKStPaXsmUGKLshcE78YH4WM5BV7hoerVqLJPn1pt2WOpFm1c/cLe/1Zli/960afCmbXjBTtqqXOtF+3wnMuUMhrvq/sL7zAh0PfNvI5HQbh2U79lhdVUOYuilCsWNA8nCqj7qdsRu7ZveW2kpCFqtWWjiclvL2c9gqS/CkZVM78wSCMX23vLov3c5Ml5kkq4kSb5AhDhOhRWtR1hSEs5Xw+7Q7O0RF6M4OkuS2W/vXqs+obG0i1RXNN2V53DDuCE3L+27BGu6euqtjxbLKQv6z+XsuGj6F0Qnpe++CIOWLpTCFaJlrm2BTG/ltcdPs8/DB9vWMS8zAabFhjYggZfq4nZ6/dc2om4tZuXgJthYvflXFHfRjG5nDIeedHD5GRk8DgQMcASPCe4DfYON4vUPArQY4K+/j3g06gHuLBvesuMEU+Jp5vGotZXsRFv1v7jEctfldFreU/yiILcj+GTlrUln5cj9GEPfiJLNuNpPsfQtWvd7pLCvKvHyc5+U306M0uef6Kj/fFPv4usjL+WOcHDMoIqzV3cfexVNkcU9l5968jpJ8Uv/3BMWX3EIgDPIq5WxdW9eS/cTdVJx6mVaooi9tQoSZl3McLGoJcmyUhQK/SoJJweMLkOz1YP5gGdT1c3lqcVOYNRpS42BlHny/q7ODLxjAYjLxjxWfkhuTSKYrloXFG7ntkGMR2YM0k8nEn5d8wIz0XI7I7NrJQhwfnlz3NXXeVqalDuTkgWOxmi09QyVJbEPbPHyb3DQs38iG71dgcvtIckRS73MzITmL0uZ6ylsaiR81mJwp4/WKbWJzUVBB4feryTx1DiZJmjOagYCBgIaAQXiNB8FAoAMCImu4tfhbCnz9/It2P0P5sMg0Lk4YTr3q5bHKdWzz7n1Z15ERcdySMoGkVc/+4GhcFTeSe+0zWXDnj6vb7Xjw6b80k277CL5/sUs83tzQyqvrW2n1h4i2K0zPtDMj287oJKsW4W30qkhltriI7l9bt5w/j8O3uinxdx7Z1qqwvfa4TnpjE7q9P9bqcnIe+T110+dSffQZfb6Xa0a4eKDCR5FfxWVSuD3VjluFOLNCZSBIrhLCurUE0+er+7xGlwM7OjtsKtELWezm7CDk16yYuOPbd8iOiqeitYmcqHhOGzyeKz59mXlHX9KtlGFxWR6NPg+HZwzhhY3f4VeDXDN2du/OIpIHqfImZNbro2nFZopWrWew4uKjwvUckTmUjXUV2jqSUFcXZWXA1PGaU4NmRSaV64xmIGAgYBBe4xkwENgdAW8oyEs1m3mz/kcys/+Rb8loRzxXJY3SXtE+VrmWNZ7+Nai9KGGYlmxzTn4/JiiFgZk64SpevzKg+7z+RNqhl5nJTvoKvu66BPO8Vc2gCNG1aW4N0sqbAjsivRur/VxzSBQnDO0h2jvsaNaNvZCjt7m7PL29dDtprz5K8cW/JtBFlTVLTQW5j/ye2ilHUT33rD4j+UpOBGV+lQ8ad03WOjXGyskxFtZ5VIZHmNjW4meo3YTyyQrdr3ZftB6cHSSiLQlsYl04NiGDjws3sLqmhFsmHh32btbVlPLUum94YFbf/0DQyhaPykZNiqG2uoboimaq1myitLCIBp8Hp9VGnD1C0/Lmx5mZ9ouzJRwd9h6NjgYCBzoCRoT3QL/Dxvl6jcBGTz23FH/T63H784AsKRqRMp5Yi50nq9bvU9nB3zOncWPh13zUtNOvd19iVz/kclY+DlWbfkJsF5hwgYlBuSvh83/0ePxttQFNyvB1kTg2BElxmbh0gospGeE5NsgCjaf8i7ubXLxU17U3r62skIz//lsjvVJaWLx5Y1Z+Te2sExGt78CH76B+yhyq5p69c8+BADGrvkHxeWkaN5WgM6rb85wXZ+XSBAt/q+haB35Xmp1ACCIUheaQSkJQJa6+CfOH34O7e9eJHsHsqsOhw2BkNjS59YjvHkUj9IF5DdWI3veK0Ydpzgg9tZLmOu5d9jEnDRzDMdkjte5qSOXlTd/zXsEanp5zAS5rL71+0xJgTI5edMOk0LJqK3XrtxGqqqfG08K4i05DETcIoxkIGAjsQMAgvMbDYCCwGwK1AQ+XFHz6UwoG7rN7FGWycWvqBAa2FY1Y0KFoxL5a1KaYeG3QXKzLHteiZvuyLc05A+fieNa/9dPQ7XY86+jTTAybsBFlwV+7heDK92o0kjst08bcQQ5y46ysrfRpPr23zYzpFXzqhS+Sva6F7tCwlReR8NV8rfiE4vchFdm8yRlEr1tK/aTZVB137i5rWuuqSHnjKU0K4dq0iqLLb8eXlN7lvopHufh5Yc+FSOZGWTgzzsIat8qYCDOr3UEmWEFZsRVFqqrtqybODhPa7NmWdO3s0N3y/mCQBUUb+LR4M2ZF4ewhk5iYnK0NKWmu58GVn5IeGUtxcx3/d9jp2uf5DdWa1dmI+FRGhEGkd6wviW4a+U0Ah1UvQzwsSyPCRjMQMBDYiYBBeI2nwUBgNwTEj/eJ6vUsbCo5oLG5PXUik1zJvFCzibd+YAnHtMhUrkgaSdLKfafn/V3SJG7yH8Ln9/x0dLsdH6ihx5kYMysf5YM7u33O1lT4+K7Ex2UTI3fpd+38Wu6dE0uUPfzX1v4pv+CztJlcUhh+lFQJ+Ml65m+YvK0UXNc9OY9c/z0Jn7/D9mv+1OmZ3suN4OPGABu84f8BItpeuwL+kEKECTzeADmKqkd7pTjDvmrtzg6REbB0E3RwjvikcKMoTZiZPhjbboloW+sruW/5Ag7PGMrc7BGanVl7E7uzb8ryuX7c4ZrLw9jEDOZkDWdR6VbmbfyOU3LHaZ6/k5KyOG3whN6fTIpXSLnllFi9DLHRDAQMBHYgYBBe42EwEOgEgTxvIzcUfXVAYvOrlHEcHpXBa3XbmFez6Uc548kxAzkuNpsKfyuTNvyv3/cQa7JRM+ZS3riq69f3/b5oLyccOEth4kkVKO/+ptuRi7Z7qGpVOW3Ezox7kTjcsqCO509J6BXhlYXqz3qaK8tCmjtC2E1I77P34c3IofL487sc5ijaSvYTf2bz3c/t0efRbAe+YIj3dtPthrMHsS47P97GKk+QUXYT670qoxQVZ2k1JiG++7J1dHZYla+RX4/Hw+clm1lUuo10VwzHDRiluTpIey9/DW/nr2ZqykCOGzBSi+RK+7/ln2geubdMOAqfGuQXC1/k2aMuxBsMcNVnr/DQ7LOId7iocTfz9PrF/GbS0XxVulUrKXxM1q7EudvjnjFTJ7xGMxAwENgFAYPwGg+EgUAnCHjUIFdv/+KAqrp2ReIIrczvp1I0onq9ljzWXQv5AwQXr8cya2y/PiO/TZ1ArNnObSXf8uf0KWz11nNGP1vBNQ+9ksUPBKkv7Net9+tkGZNg6gX1KG/e2O289R6VGz+s1QhvQA2xvMzPynIfV4eTrNbZzHHZNBz/V0Zs6L7s8B5DA36ceRtwDxiKa+sabFWlWnlc1RVF0OHCUl9D4mdvUTdVEto6aHyBP6TaOSRC4aHqzq3RwgX218k2kq0myn0qgxxmNroDTHZZCH2+BmVdP3v37r4pzdlhPAxM1n1yv9sMLW62N9Ywv2CdRkyvHTubjMhYAmqQxeX5fFCwTksAvXvKiWxtqGL+9nVacYgEh5NIq4Prxh3Oa1uWM3/7WgbHJGkeuleNnql5AUuy3BWfvczRWcP5tjyfKJuDswZPZFRC13IRIuxw0ZFgCcP+LFzQjX4GAgcIAgbhPUBupHGM/kXAF1L5X902Xqnd0r8T/wiznRs/hJNicljurtKqozUFwyMdgYXL8b+5COt5R2GZPqpfdv5w9iyWt1TyTIdyxE/lHMED5av4W8WKfllj/cDz8C+MZPNH4b82727hZ4vO5My0fxNpSerV/loD9Xxecz/NwSrOSn9sj7GJw2D2L1tRXrumx3nXVvh4d7NbUzwPT7Ry5EAHsY7wpQy7L9B69B28bB3EH8p7V0BE5kl58xlil39B1ZGngsWKubUZU2sLIYuFlkEjaRm5a6ndiyRJLdHKX8rDl1F0B8hEp5lL462scKsMdyhs94VIDQVJ93gxf7gU6ntJ5KUMc8CvuS9I8tiMtFzsFt0Ro8smzg5DMqG0Rk9wq25AdLtiA7K7126Tz6OR1fbmCfi58rOXibe7NGnDw2u+4IJhhzIhKYsVlUW8vHkpfz/sNL4p3cZHhRu4a+qJ2lAh1hINHhqXwuY2KzIpeuHouNexuTB9OPSl8luPT6HRwUBg/0bAILz79/0zdr8PEagLergo/9N9uMK+nfrEmAGcHpdLvrdJi+iKfKA3zXvPS1iOm4L/xQXY7rgQU+yuGtLezJVgdvDIgJk8VLGGrzspPPFMzhGcmfcxXzSV9mbaPfr+M3UGZ9eP5qsHevG6vocV+0J4fcFW3iy/iQHOKRS6l3RKeKMz4Ojb/Sj/uXyvztzXwY3nvcAJeR62+XqXOKhpep+9D3dm7h4JbLvvZYbLzMNZDn5T0nOSWm/P8cskG4PtJjZ4VKY6zXza5GeWHcybijEvWtur6bbVV/Fh4XpSnFF8WbKVOyYfR3IPbhPaAmE6O3TcjBSLuHvpfB45/Bzt40sWvKBJGyQSXOdp5fovX2XeMZdw6zdvIeR4WFwKp+aO16K+0t7YtpJFJVsZl5TB0ort/HLs4Vqim9bOPwL24ue0V6AZnQ0E9jMEDMK7n90wY7s/HAJSCvePpUvY5Nn7ogs/3K5hZmQaFyYMozbo4Ymq9YgeuacWcnsJbixEiYnEnJtGSFUJfrEKyxET8L30CTS2YLu6b2VK50ZlcVnSCK4p/JKqQOfEx6aYeSX3KDJXz6Mq0LVXbHfnGOmIY8XAs3nn+q51u43+cj6rvp9WtY4QKiMi5zIh5mxWNLxKU6CCWQnXaUt0/G8hvBNjzmFD04f4Q27GRp3GuJjTuoXUp7ppDdbiDtazqPahTgmvLQpO+j9QXrqky7k+3Oom2WVmYto+SEDKncmWQy5n9tY+4B2GpjfZorB4qJOrivqf7LYDNsRh5peJNla6A+TYTFpiW7M/wHjx7l2wXHcs6KGVtTSwqrqYEXGpDIhO0Ail6GgvH31YT0N3XtecHQbplc7CcHYQItsemf3TkvlactuU1IE8uuZLbc6rx8zSyK4Uq8hrrOYfKxbyj8NO1xLggqqqyZGsZjMrqyQi/D33zTgVJGHt7FlgNeQM4d84o+fBhIBBeA+mu22ctVcIyC+VhU3F/KtyTa/G/Vidx0UkcEXiSM1y6vHqdax1h5fBHtywHf9Ln2DKSdVIr/Vn07HMGrfjGEKGfX+eh+WUwzBPHt6r492YMpYsayS/DsPXON7s4LGcWTiXP9mrNdo7u4dfyed/CdJc2fXwr2r+jdMSx8SYc/GqLXxR/U9mJ97I+qb3uyW8uc7DmBV/PY2BUl4rvYazM54kypLc4z7LPOu6JLwy+IwnLTDvgi7n2VLjZ/5WNzdM0aN7/d0aTn6Av7dE80xtH5L72khv86jJnZYXLhwdyeXb3d1aoPXXeS5PtDHeYWJxi8rMSBOfNgeZalGJqW3U3Ry8nct4Gn1uLlv4EifkjKbB56bG3aJ9lyS0uQNGahrcldVFjEnI4PicUZiUHmQkmrPDcIh0wLItsCqvxyPWe1t5bM0itjVWkxudwA3jjuCzki3MSh+8QwohCW/jEzM5Klv/+StqqtW0wv/ZvEzTBEuCG1OHw/hBYO671KXHzRodDAT2YwQMwrsf3zxj6/segUBI5dRtH+77hfZihQG2KG5IGUuM2cbjletY0toN49ttnZDHh++u57HedAam5DiCm4sJvLIQ+50X79IzuL4A/zMf6J8HVdTSaswjc7rd9QNZM9jirefflevCOp04RxwZlc4QRxzpq56jSQ1PayyTF+ReRNXbdgq+6v71/LL6VyjxrGRK3KUk2YbsIDA9RXiPT7qbFIdONt4s+xVjo09lkGtmj+fqifCe/oSC8srlEOxaS3v9B3U8eGys9sp7XzT/hS8yfH0L7t4pG/StBPwowSAh+64lbNeNcHFXqZc6tS+T9u2U6VaFm5JsbPOHiFQUUqywslXlKJcJZclmlOV76vGXVhRoEd17pp+iLSquCI+v/Ypn5lygRU7X1JRy9eiZfFW2TSPC1487QusnZYOnpbV59Xa23U6cHQiEL7O5b9kCxiVmaKRbShxLKePbJx/LkFj9j6x7v/+IJRUFHJ01gvOGTSbGHgE/PwacvSxg0TeojVEGAvslAgbh3S9vm7HpHwqBpqCPh/s5mq4AACAASURBVCrXsLil4odaMux1hODemjaRbGskT1dv0NwXwm2hZjdKZARqWQ2+f72B4x5dR6puLSGwaDXWM2ajRO20wZJrvhc+IlRWA80ezCdNx3Jo59HeCJOVJwfM4pnqjWHv6ejobE6OHcAvCxeRZnXyf5nTmbHxTdaGUdr4xYyjmFU0iO8e75lQqKEgqxpfZ2vL55rcYHzMmRp57Ynwnp72ENEWXSf5QeWd5ERMY0TUsT3C3SPhfSyE8vr14G3qcq5HljRpSWojknpIpOpxN5138E+6gK+zj+a87XsvPUi2wHfDIrmm0E0fYsZ9PMGuwy6It3F4pJn5TQFmu0wsb1XJUkLkhgKYP/oeKup3DBAyeed372uRVUks+9/WFVwzZhZjEtI1hwTR1sbaxR0jyMULXuCuKScwb+MSYu0R3DRhTs/73cXZoQS+26Q5O/TUJPJ8/4qFuAN+KlubmJk+iMMzh/JV6TYuHjFVG/7qlmV6me6hh0ByLJw8FWz75hnpab/GdQOB/QEBg/DuD3fJ2OOPisDK1mp+X7rkR93D7ov/Pv0Qxkck8Fz1Rt5t2B7+3lQV/yfLUL9ei+3W88BuRd1WinlIJsHt5fgffQdTShyh6gaUoVnYLp6rzR2qbcQ3bwGK3Yrl3DmYRC/YSZsdlcaNyeO4rugrin3NYe3r+Ohsjo7J5qYOvscJFgePDZjNeXkLeLObohhHRKXzfvLPeP/m3tOrBn8J75TfyrHJd2pR3wZ/KbMTr9f2vKTueTxqo6bpFQ3vicn3kGQfrF17q+zXmoZ3oHNGj+frkfD+O4Dy3m3QXNXlXGJBtrTEy+WTui/Z2+NmuulQe+aT3FSpsKCp5z8auprmMJeZeQMc/KrEQ3P/GGT0+UhRJoXbUmxUBaFZDTEpwsy7DQFOcKhEFFVjWrBsl7kLG2txWCz8/JN5vHXCVXy4fZ1mI9aR1AoJFSe/SxfO0yKtN447glRXLyrddeLs0NMBW3xeUNDcI6rdzfxq0es8dsQ5OK125hes1SLQv510jF5sQqqt7aO3AD3t07huILA/IGAQ3v3hLhl7/FEREG/MC/I/oTXUe1LV3xv/dcp4Zkem8Urd1l5bpgVLqggIaU1PwHrm4Sji2dmhheqbUWubtKQ1VXS7v38G241nYMpMwvv4u5gnDsHSjYb32uQxDHfEcl3horCP/bOYHGZFpXNzJxpfh2LhhYFzeLhqNb8p/rbTOX2jr+LD2wKEkZenjf+k6l6GRh5FdsQhBFQfb5RfzxEJv6Y+UML6pvc4OfX/8Kte3i7/Fcn24TsI7zDX0UyPv4LGQDmvlV7NOelP4bIk9HjOngjvaQ/7MX18F9QXdzmXRPFu+khkDfFd9vEGVE79bzUzsuzcPD0Ku6WXOk5XIq2n/pPB63tv6SWbuiTeyg3Jtn3ixtAjyN10OC3Wys+iLbxS5+fIaCvlfpVaf5AjoyyEPl2NsnFXo+ZvyvJIcLjY3lRDfmMNV46eiaqqmEw6nv9e/QV2s4VLR07vu8SkD84O7Uf8smSLJrVIdUazub6Cu6ecxKC4ZLhGty4zmoGAgUDXCBiE13g6DAR6QMATCvJ89Ube600ktZ9RvSppFEdFZ/JxYxFPVq3X/Fh700Sr673tSaxnH4F56khtqDgxaKrQtl/mu8/nufNZbL84HlN2So9L/T1rOsXeZh6sXN1j3/YOZ8QNYrIrmd8WL+5yzNuDjqMm6OHTxhLOyV+wS7/y3EvJ+4+ZkmXho1Hp3cyi2ofxBkVCoDA0cg6HxJ6PX/XwUeWftKhupCWZOGs2HrWB2Qk38HThaUyOvYhNzR/jU1s0GcSoqO4JRl7L13xac59WPECVV+kmKzGWDM5M//cuZzj1Xz7Mn98H1Vu7xe3RpU2cPcpJXISJxUVe0qLMDIzb9fV1k1fl+VUtOK0Kl07ovYWc94ib+X/2zgLMqmp947+9T013dzDSQ3cjKQoK6t8AC1tsvXrVq9fWa9c18ZqgYqCogFLS3QMMMEwz3X3y/6x9YJiBiXOGoWSv5/FR5nwr9rvWyHu+/a73+8G9Kw8dds6b98kQPaIS2n/ynevn8EFph8BnQl2ottpIqbMxyVvDl8UmxhgguLrafqmtvLFln5A6PL3xd4JcPRXyK7SyvQIjuGflPEXf69HAV7ep5QnvXZGRjfbya/6i21FnB5sVNh2A/c1/6Wk4hyDgOdXl+Lm44arV290hBInWatoBKXUIFYG/LwIq4f377q36ZO2IwM6aIh7P3tCOIzo21LX+FzDJK5qNVXl8XLiXKicucimktrQSW0U1cmQQpvmrsRVXoLtxApaFGzEv3wYmM5qRPdFdOhTh1mArqUDuEI5ZvPKtqUN/86RWF/p5zIV8W3KQ3534QnCVXwe6ufrzRAuYzokdwwNZa8k1VfPPkN64yDJ99v6grOe3iEl0Sg5n6xdn+N15q+i0HHDpGya0696EXMcu9onRbphfhCyBi1bixp7u9As/lqmvMlq5b3EJH1/Seva5qZWVX/0509KNJNU6hut7EQb8tTKzi85esnv0OSd6abncR8fXJSaGeGjRYlNcHS53l9DsTUde3XgPxJeVPcU5ypcWUd3s1W1LiPb048qEPi1u6t7iHJ5c/ytd/EMRnruiuESL1dHa4OzQaAEzJ4CLqt09yV9Ftft5gIBKeM+DTVYf8eQRKLPU8WLONpIcuER18rOhVEYTRSMO1JUpGd38NnjTmtfuVoitZuowtL0SEPZidU9/jtw52q7FnTpMyWzVvfk9uqnDwcMV8/zVYLEgD+yCdkQPpGayv+IZ+7sH86/QPtyXtYYUJ7yKhUdwB4M3T7Wgi/4oZiRv5+1id01RPZwvhw/CU6Pj0cx1vO9+IX880Xa9aXvsUXuMMflVI/ptH0DmVoeH+2hLJVHeGjr4aXlvUyWBbjI39/ZQ/Ho3ZNXy0dYqZk9uG+Elqh+Zg+9hwP7Wi5Qsindlf51V0caeS+2JEBc0WFlXbWWqt5Y/K6xEyBZ6GiSkxVuRMpp2OZm55Euu6zyQEeEJrT6usBoTl92yKkt4aPWPfDNhZqt9UJwdukKoP2xPsfv5KtXbWmiCLI/rpV5Wax1dNUJFAJXwqodARcABBKzY2FtTwqPZTWtJHRjCoZARHmFM97+AQnOtUgY4zdj87f3mBrQWlWMWxSL0WrRXjW5UIc28ZjfmFdsxPHI10pFXoOZlW7Fm5KO/oXXXgaNzzgzoQl/3AO5ItxvlO9pu8u9EuN6DZ3M2N9vltYgh/FGeweLyzPqYu4K6EaJzI0zrhmudgeTvIW21Y1lIR9fmTFyJMZM/C59vsouPNpJxQY87NNzFL5lw2fs/SF3rULwIEmWGv91TzbOjfJTs48KDNXy9qxqjBYwWGw8P9mJoVNvtqSovfpm3jIG8V9i0LdwMXy3Ph7vw33wjW2rOzS8dIzw0XOOnV8i6qNYWrZOYW2rmWnfwyi9BXrQFzI2JfHZlCRty05jaoZfDe5VXXc5ty+bw40W31uuAW+3c0NlhX5ad+Dbn7HD5UAj2bXVINUBFQEUAlfCqh0BFwFEEROW1x7LWk9oGEtraHL3cArklsDNGq4WPCvay5yQyyaY/N2PdlIzhsWuVaa1VNdjS85HD/MHLDay2erIrPjf9YidbouCEI+2F8IGIjPfLudscCa+PuTWwCwFaV17IaXxDvuEgT4T2JcNYwRdFyfU/HuoRytV+CYTr3CitMlPwl4bwPjLCBGL5S+dWdvF4wCY8a8Ej7Ss4sNxhLK1WG9fNL+KTyf6KrEE0QXxzK634uEi46py8sNbEzLXTv6JPchUlx/HZ72NdCNTKvJxXh8lx6bTDz3a6A/8RbMBXA/NLLVzlq2VPrZUCo5Up3jLShmSkbSltWpKwEhPV2745sIUpsYlMjkusH0docNfnptI9ILy+sESzk4xIhIRwEHaAwtKssEHVR7WyWpv2Ru10/iKgZnjP371Xn9xJBESWd0tVAc+0kJ10ckji9J7MCk7EU9YpZYA3OVE0ouFcNosV6UiFJZvJTN2zX6K7cqRSYcr08xokfy9sqTnorhuP3DNekTrg64ktvwRrcgb6WVOR3BsXD2jqWWZHj2JBWRrzW7AKa6rfnYHd8NDo+E8LJPm2wK54yXpeyTtGpPWSzLz48eSZaiipMeJ50JOMI8UlQhIlYodqSJpvJnnRucm+xvzLik/+PNi70Kmj8/aGCkbGGEgMtpccrjZa2ZlvIrPMjFaWGBJlUCQObW2WxKlsSZjCpal2b96+rjJfRLuyuNzE7ydhXdbW9ZzKfsKy7CZ/PcsqzXjIojS3lo+KTExwgVirGXnhJoVoCj3v/EM7uK7TACI8TsyqCr3u18kblThhV9bFL0SRPzSMFYUthNfv/tJ8nug7gcFhohyxA+2os0NlLazfB1kFcGFP6Bip2JapTUVARaB1BFTC2zpGaoSKQD0CNVazYruV1wZNbUMY/TQGHgruSaTeg9lFe1lRcbjNKBtn/47k62HX4R5plu0HMf24CsnLDf1dlyoWZEq1tM8WY3jhZizbDmDdk65cZtMM7YbUimF9dxc/ng0fwGPZG5zOPosqcFpkXsvb3uwzTvaJZYhHyAmODV/GjiHTWEmV1UznqkB2f9M45ajRQ6dJGiQNLHvejKWuzTCekY4j/yERUPUT7JrfpvnLai3M3lbF0tRa/FxlBoYbFCvWjdlG7hvoSc8QOyFuSyud9j6PFukZ6alhnKeWl/ONiq3X37XdE6gn2iDzSYGR6f56Ss1WllZauNVDwpCRh7xkG0LW8MW+DbhpDUzv2A9/V7sbhvDovXbxZ1wc241buw49wbJsc146c/ZvootfqOLhK6q7vTX8CqVvrdlETlUZkZ6+aOVWvqQozg5xIqUPIsOr+u7+XY+j+lynAAGV8J4CUNUh/74IWGw2Vlfl8Gpu8+Sttad/Kqwf3V39+KwomV9L01oLb/FzkaE1/m8RttxidHdPVTx0jzbj54vRjOyBJtpeIUz5y/WfH6M/UkbY0Ymn+3dklEcYt2f8hUlYKDnR7g/ugcVm5e38Xc326uEawN3B3bk5rfFr/dciBlNgrsFd1iFi1r7TvHwhsJNMhzESB5fY2PnduaMrHXKPhlDtItj8tROo2kOFI8Odv5fQO1TH0EgDK9PrlIzvhXEuHC4389Kact6e2Lx3b6sThiZSNPJBdtZJfHYOuDC0+jwOBHR20XB7gI5N1VZKLVYu9dYxr9REuEZiuChRvGyHYh+2vySPr5I3Kq4NotKZKAxxqKyQ2XvWIksSM7sMJsbLH5PFzOPrFxDm7s2Mjv3xc3HnzhXfcFfiCLr5h7GzMIuXt/xJlKcvRbVV3N9zNJ39jv0ON7vk0SK7G4Fi16E2FQEVAYcQUAmvQzCpQSoCxxCos1q4MW05FVbnrJgeDunFcI9Qvizaz3clLfuuOoq3+c/NSAE+2EorMK/cieHx6Y30uQ3HEYUnRCU1w79vaDbm+HmfDuuPyWrhudzmdbfNrfXh4J4I3fP7Bc1bbonyyJ/GjGZayqJGw8wK6q7IPBJd/bEaJdJ+lajIaV220PEiGTdfidVvmyl3vNKyo3C3e9yA2zRE+q6EtR87PfbvB6rZW2DmwcFeSl+L1cbtvxUrlmSCDN+yoJg50wKcHhc3Pxj7KLh4Yq6rZpPszwdF57ZW2lkQbvXX08NN5q0Ck2JlJqQOHxSauMtLIrCyCs3CzcpFsi35GYp+um9wdP0UOwuz+SRpDdPiezI4NJ55B7ciClpcmdAbs9XKsqxknhs0WfHpnfXXtzw78BIl65taVsh/tv7J+6Oubn25d1yskt3WUVIjVAQaIaASXvVAqAg4iYAFG4vLMlokcg2HvCOoGxd6hLOwPIPZhXudnK3lcFtVrVIeGI2M8fV5yB3C0E0ZWt/Jsicd84K1SKF+ioZXe8OERhnflkb/KHoESyqy+a7YeXL+WGhvisx1itNES+2H+PFcl7qskb+wcKq43C9eueCWVVGJy14vsjc6nln2iZboOEFDznYrGz4+u7O9vWfIxEVvgZVvOX0uBOEVF9WOFpmoNduY8VMR30zzZ3FKLflVFm7o6UQBCkmGEfdBUAIU7IfQROWVebXFyqvFkFLn+B44/TBnYYcIncy9QTqSa63srLFyvb+eVZVmco02ZnhJaHanI63b0+zKRXZXp9Eqn4tCFF/u28DPqTuZ1X0El8Ql8p8tfxLu7s21nforMaKM8C3Lv2bO+JuUPwsiXW0y4q4/znGjbwL0vUD5nVebioCKgOMIqITXcazUSBWBegTEBTaRlTQLLV0zbYZfRyZ6R7G+Op9PCpKotp7aLJlVyBtenGOXLEQFK5XURLPsOoRksSJ3i21VqyviO7h483L4QJ7L2cK26kKnd/1fYX2Vqmv/K9rXYt8vYi7kqZxNpDaoC+wma/k6dgxpdRVkG6tJLA9mz49tI1rxo2Q8QySSFljIWNt6dtjpB22HDt2vkOnYLQmWvuz0aCKLKzK6Uzu5KW+2fz9YQ0d/HQ8M8kKUIxav1h1ug2ZC3DAw18H276GqELpeDHp30OoodQ3k3mzn3mg4PPdZHjjDT6dUknu30MxQd5kurhreKzAy0Q26aUGzeAtkt/578lPKdnYVHVZI7mVxPbh52dd8Pf5Ge7U0UfY6Yx9rclJ4asAk3t25gozyYnYVH+bNYVfQ0bdBtUM1u3uWnxh1eWcrAirhPVt3Rl3XWY2A0LL+VJLKl8XH7LOOLvhSn1gu9Y4lua6Ujwv3KJ66p6uZl27FvC4J3ZWjMH23HMOdU5CEob2D7Uq/DkrRi9vTVygXxZxt/w7rR0pdOV82sBVraoz/Rg1XrMfWV+U1+vir2AvZXVOM0WZjuGsY6//r/BoaDugRLBE1UMY9QCJzk5VtX51dGd9OF8l0HXoIadG/nYVaic8oNTFvTw11Fht9QvWMiXNB44yus9f/wQWjoKIADiyDgA7gHwvb59nXM+wuMFZRZ7GwyObHj6Untx9tesizoJO3RuLRYAPZRisLyi3cHaDlkMnGglIzD/tq8Mwrtrs5HPmS2dSSxUW1oaFxBLl5IdwaVh1O4Z99xyuhFquV25bPUbS9vQIjlZ+tPZyi2Jq9PeLKY8P1SYB+anb3LDgS6hLOQQRUwnsObpq65LMDAZFFm5JyzE5qtGcEV/t1UErhflK4l/RT4Nfb2pPbao3U/etTJE83tDPGool14ALMkUGfCO2DsAF78vCm1qZp8vNnw/qzt7aEOcUHWuz/QtgAxX7tp+OszV6PHKJUbOvk6kugxY39P0J1UftkZg1eKN69od1kCpKtJM23UniwfcZuE1hHOsWPkug58TDSr/88mWGc66tzhQE3QkAc1FVAyhoB9LExBs6EfX9AaSaE94TQrghdbx1aHsk1UWI587g598DtF32Fr46LvLR8UGgkTi8zzkvLJ0UmwmSY5K2FNXuQdh5qdcINuakszUrmsb72Yi/C+UFchBPaXtGsNiu3LpujlCVODIg4Nt7tk1QpQ6voqgEqAk0joBJe9WSoCLQRAaPNypzi/coreVF5zGgTRSP2KKSvPZooGGH+/A+0V4xQikXIrVRUsmYXYvrkN+ReHdBOHICks+sHHWn/jRzO+uq8RgUfHOl3NOaF8AFsqy5iXiuX8R4K6UWlxcgHx2l77wlKVDSLY70iOFBRgbzNnbwdp4ZYhfaUCe8lKW/vDy6zcuCPtkkmnMGnudjIftD/6mKk+Q+0x3AtjxEz0C5T8IuG7B0QeIE9kyvkCw2byPLGD4UNn9l/2u96sNSC1UKaeyRP5Z6f0oajEIlaH0+FulButvJugZHHQl2otdp4K9/Iw74ykWYjmoVboLi82f0QGd0n1i/A1+CmuJiklRfxnyGX4W1wVfosSk9i9eGUegKs/FDN7p763xF1hr81Airh/Vtvr/pwpxqBPFO1YtUlMrpbqgvadTqhwTU++4Viuam/9WLksJZv3NsqqrGVViFHBjq8jnCdO69HDOb1/B1sqMp3uF/DQKH3XV8lMrYtZ7au8+9ItMGTZw83Lis82jMc4cPrpdGxq7KY7iWh7F9w6kmoT5RERF8Zd3+Jw9utbP/GIt7en9YW1AWG3V6J9P2sUzOvZzD0vBzCe0B1KRQkQ+ZW+1zxw8DFG5J+PXHuftMhYzPk7QNXX+h3rfKlq8ZUy9c17qyqOrukIacGvJZHFRndqd5aviw2o5clrvDR8kuZiSyjjdu9QH8oD3l58/aF4gueqMYmLqb1C45BK8uKf6/RYubGJV/y3MBLiPVu8DuvZnfPxDarc/6NEFAJ799oM9VHOf0IiEtr35em8HXR/naf3FpSgWXxJiyb9qF/Ygayr2e7znGJTwzX+CZwZ8ZKStpYseHViEGsrMjhl7KW/YRHe0VwqU8M92SsbvQMHrKOL+PGkFRTTGptORNdYth8mp0VDN4Q0VtDcFcoSoH0NVYy1luxnAa5qnckjPmnEembW9tvb918ofNFENUHxH8XHISsbVCec+IcI+6BtZ+AqbrxZ+4B0OtKWP1f+8+7XgLCccDgDp4hXJ9e037rPcdH+leIqFBo440CI7f76wnWSbylXGqTGOKuRVq6HQ627pH32d51ilWZl96V0roa/tFn7DFkusfC4C6gVZ0ZzvHjoi7/DCKgEt4zCL469d8DAbPNyvTUJW265NUUApZtB7HuS0eKDkE7uCumeSuw5pVgmHVZi4BZC0qVAhSa7nGtAis8cv21Ljyavb7V2OYChOb2z/JMFpZltDiGcH14KqQvM9KWnhD3VewY1lTm4qc10EsXyK45NurKT42UwZEHDe4qEdhRRlx2qy2zUpYF+XttZG2xUlvqyAjOxbj4wqQXbUhzbnSuY8NoQU5jB0N4IggGLcwZyg/bL6Atf73lcbtMtDsz7F92YlyPy6E4DTKPZOSH3w01pViMNWxzCeedwtPwjaDtqJzWniM9tFztp2N+qZnDJisz/XVsqbHwY4mZp/xl/Mqr0Py+CWpaLgW46vBBPt2zlq5+odzWbRieehd7NbU7Lz6tz6NOpiLwd0RAJbx/x11Vn+m0I7C1uoCn2njZq+FiTQvWYssvRdMrAWtmHtpJg5Sb33XPfYV2Qn+FAB/fxKtRy4rtWLcdRPt/o5DDW5Y+vB01lJ3VRYoMo63trcihLChNY0lFVotDaJD4qcNEJh/8/YS41yOGsLkqn/HeUVTVWqhea6Bw35kju8cv0D0QvEIlfGNlvELtvLAiF0pSbRzeYVHUASfdZLj8Qw18OcPxocTC4gZDWCL4iGpbWijNgsIDUJwOdZX2sfpfDymroKiVS1SjH4JlrzYxvwSjH4Blr9k/i+gDAfHgG0GNsZa3SzXsqT310hPHgTnzkY+EGPCSJd7MN3KZt5ZebhreLzQSpJG4xktG3p6CtLHlgyMurC1K30N2ZSm3dBsKY3tDh1CQ1ezumd9hdQXnMgIq4T2Xd09d+1mDQI3NwjOHNymWWm1tNrMF478+Rf/CzYqWr2GzHMjC9MEvaIYlInm7ox3VS/lYKS08dymajlFox/Vt8S9FX62B9yKHKxfGVlYeVvqbN+7DllOIdsIAJFHAwoH2TuRQfixNZXlF669pv40fx13pK0+wZrsvOFHRPosiE+vK8umaH8LBxWc3eRLZWEGAvcPFPzIavY3KAmFmYKOqwEbJIRvGaqirEuYHNhQ3Ogf4+7SPZKQ5N8FRGziNDnwjwSsMhAbXI1BxScDVG/Rudm/c0mw7kRUZ2JpmUs9Coyv67G5Co9twn3tMszsypG88cfe7XITyUAdX2D8bcAPUlCkPVuUbx51ZLWcsHThOf7uQ/m4arvPTsbTCzNoqCw8GG8gx2Xgzv46H/XV0ki1oFm2GHAf+XyFkTJcPBb3jF1D/doCqD6Qi0E4IqIS3nYBUh1EREDrY61JPfG3fEjLWsiooFxfNghSXgrr730P/1PX1el1hM2bZuBft8B52cppbhHZ8P9BpEZ671t2p6K66EDnUr8UNGOMZwe1BXZmVvpJcs11/aVm9C6ETljtFoUloYH3UwkjCP1c4U6yuzG11w2fHjOLVnG3srWtMyMZ4RXKRV5Ry0Wd1ZR6XaePZ9tnZTXabeli9p+CkEgZPwSsldO5g8JTQuYDWRXz3kBRbVsFjrRawmmz2/zbbs8UWs035eUCsGUl8UdK6grAMkzVgqrFnaoVtWK34pwxqSuwXz6odIEpiwRq93Ud3xRst75WLlz0bvPKdpuOG3wPrjuh8BfkW2l6LGVNNKUvkEL45T715W/sFuDdQT4Re4q18E/3dNUz21vJ5sYm0OisP+ki45wjvXiEXaeFb0ZUjINBxH+3W1qR+riJwPiOgEt7zeffVZ29XBOqsFsWD9sdW3ArEpIoMYcE6LHvSEKRWEFbdrZdgmrNU0fnpb56krE0QUuN/vsHlxVsardW6LwNrZj6aC3sjtfKq896gRMUd4YHMNY3GMH74C7obJigSCtOPq5BcDeiuHInk03Q52g+iRvBZ0b4TikU0BeKbEUOUi2zLjssCe8t6Po0dpThCFJlrudgjhi2zLQoB/Ds2wTm1BjsB1hiOkeHIAbJSGdYmSeh0Ftj/J1Tk2wmuILvt1URG9uDK1mUNfa6xW5XlNlEKWlRgc/OB3Qvsq0q8FMxGke6mRu/JU/kW8kzn3heW9oK4pXG6uGi4LUDHhioLc0pMPBlqQCNJvJFXxwQPmYneOmwrdyPtbuLSZ1woXNhTze6ejo1S5zgvEFAJ73mxzepDni4ERK5masrCFksOi7WYRXY1JRvddePhSLEIzaSBaPt2pO6Fr9H0TkAztDuWZdvA3QXdpUPb9AjiYtmhunLezd+l9BdEW2h9xfimPzYhubtiTc5Ee/VobAezMS/ehOGh/zthro9jRvJhfhKbHbBeE9XWkmtLmdtEAQpxSe2X0jT6uwfixo1pQgAAIABJREFUbXahZIWe4kMOvPdv09OfvZ363qBFEpJMyYZWa0TePgeqGhR/aK+lC7Lq6gNJR8hqc+P6RkHn8bD246YjhtwOO35A0XCIJtwdBEGvLSPLtyOP55raa8V/y3FuDzTQ1UVke42E6ySu8dPzR4WZOeu38WzvC4iTZTQi21t6RH8tULh5IhhUKcPf8kCoD3VGEFAJ7xmBXZ3074qAoG7rK3N5IfeI12kzD2qctwJNfBhSfDjmzxcjhfhiXpuE4Qn75SXz/NXYisrR9O2IZnSvEzS9reEnKqYJScEXhcn8eeRimdAIm774A80FEQqZttWZML7+HXK3WHSXDFaGrHvre/S3XqJke4+2T2JG8l7+brZVH1egoIlFzArqjk6WeSN3xwmfvhk5hMXlmdwS0IX1ZfnEZQaStvz8I7sCmN7Xa9BoJES1Pp22Dk3S91DeukyktX0/4XNHZQ2io6i+dvCvprPB4oJcaDfYMsc+RcwA+4U5nyhqq4r4zuTD0grVm7el/YnWa7g7UKdc9Ptofzb3xwcRroX/bEqiQ7fuzNDW4ZFZhLxyl718cO8OoNU4veVqBxUBFYGmEVAJr3oyVATaGYEaq5nHD2/ggNBdNtesVqx1Jkyvz0M3YyxyVDB1z32pvOIWtmLaSwY5TXKPTjXUI5SHQ3oqnrdHyxsL2YTx41/RjuypjK9oh8sqQa9TqrMp0ggXA5YNe9Dfbi9vKtr/YkfzWs52dte2rhu93C+eXq4BPJ694YSnfiC4BzVWC4M8gvmp+BCXyx3Z9fX5+xq8z3VakK1ISEqGV5M8H0oy2/kkHhnOUVlDSDeI6Ambv2p6HQNvhP3L7RflFIJ8k922QqPHEhDPbZm1mM7P7y9O7dsNfjoSakt5LzkLvY8/MyN8SKqo4ZOVG5g1YiAjgn2RhUxJaF7UpiKgItBuCKiEt92gVAdSETiGQK6pmlvSj9xsbwYYUVDCsikZ/Z1TsJnMmL7/C9nfGykmRMnCtqXdEdiVri5+zMpc1bi7sDZ75ye0o3uByYxl/Z56Rwfd9ePr/6wZ1AVJb3dr+CxmNC/lbmWfAwa0/d2DmRnQidvS/zph2eO9IhnnHanIPJaXZ3NnYDfWvidub7XlCf8efQThFZIGUUVPo6lDd+h3KEw5NQ/nqKxBzD7oVkj6pelss08UdBoH6z+xr9MzBHpcptzAs5bnkuR1Aa8WqNIGRzbRXyPxQKCW5KJyPk46xPSEcEaFBfDy+l309NAztXc3R4ZRY1QEVAScQEAlvE6ApYaqCDiKgLjA9r+iZH5roQKZsBSre3EOumnDsew8hDygE9o+HR2d4oQ4UeI3z1zD63nH5ATWjDwsO1LQ9IhH8vXE+PYPSIG+Sqli0Yyzf0czogeaDuGNxvsydgxP52ziYEtZ6iM9grWuvBM9nCtTFp+wJl/ZwEcxI1lcnoG3Rk+iJpDsRRrKs87vVGDvGRq7htcmvncY0Wf+aS/jeyqaImu4E1a82froMQPtdmg7f2w6VlxuO7wTcnbbP0+cCrXlEJRAtcXGBxV6dtSo0obWgbZHiGIVYz00PLFoJYUefjzZqwOeBh0+OlW76yiGapyKgKMIqITXUaTUOBUBJxGwYWPywYUt9hIuDZatB+yX1LrEODnDsXCRjZ1XmsJvpen1P7TsSVcyt5qeHTAvWIP+H1djzS9RdIGa8EA74f16iWJ5Jkfa/yza17FjeDx7I2nGcofWMz9+IlceWozRdmLKdk7sGKXAxdV+CWRX1xB4wIfMtec32RWg9pouCK8NrBKSbMYld7mdSJ6q5qisQcw/fBZs/MJOZI9vhiMWZqsaWJiNvA+KMxTLtNqIntyW+Te13DhFeyPepzwZ5sLh0gq8LXV0Djn2u3iKplSHVRE4LxFQCe95ue3qQ58OBKzYWFmZw2u520/ZdH3cAngqtB8PZa9j/3HSA+N/f0Z33TgkD1dM3yxDToxDCvFD8nLH9NMqqDMhebmhmzykfn1z48bycNY6sowNbou3sHpBjh/JWk+W6cR4UY1NWLTdF5TIZ0XJXG7uSNJ357GOoQGOvabbJQ1Wiw1ZsuBauBKyWr7oeFKHyBlZQ8cxIGlg34kZe2UN3S+1a3fTjpSlFmWNPYKVCmzGkgzWuMTyWbEqbXB2vx4PMRCjl9E3rjnj7DBqvIqAikAzCKiEVz0aKgKnEIFqq5mnD29iT21Ju89yo38n5RLYrU3oZsVk5jW70STGYS0ux/ztCuSe8VjXJaG/6zJs1bVK8Qo51L9+Xd/EjuW+rDUI/bEj7cOoEXxcuKdJq7KHgntQbjXRxy2QTwv38Vhwb9a9q77qPopr7+lHXlnb7GUH3MpWHyOQjoDvbIwzsgYx9sj7QWRxLeamZxr1gF0icTSrP3AmFB4Cr2CqPYJ4Id9GpurN6/Au9XTVcGuAHnf1nprDmKmBKgLOIqASXmcRU+NVBJxEwGKzcWlKy9IGJ4fkufABVFiMvJy7rb6rUsxi4UY04/oiNbAzshlNIElIojrbH5vB2w3tgC6NppwXN47bM1YqxSAcaa9GDGZ5RRa/lWWcED7RO4rRnuEK4RUewJNcYjj0i0RlniplOApWz2u1yNiUSmxib9yqNiGlnHjhz5G9cDjGGVlDt8lQXQSHGhcrqZ+r41i7ADl5if1HPuHQ9WJ70YyiVPLC+vKPw0aHl9aWwLo929GERKD1C2i1e/WGvyj94j18b7wX177H3mhUrV1GxS9zsVVVoIuMxee6WWhDGuvZxeeVKxYS+voXyjzm/BxKP30TU8YhZP8gfG+4G318p1bX0FyAMB77JNoVleu2GUK1o4qAQwiohNchmNQgFYGTQyCppohHm7Drasuowhd3YVkmP5Q0vtVvyS7A/PkfSIHe6G6eVG9rJoiw7XARGHSY5yxFe+MEZE+3+ql/iB/PzLQVlFoc014+FtKbXFMNnxbtPWH5AVoXRPnhucUH6eseiMYo47bbi8NbVLLbEKye12iQJQmLRWG8eJh2Q3IzEoK2HJKm+sQPB1FGOOnX1kcU9ZGH3NFyWWKh9d3wub06nGg9L4fyHIjqR015Ab/YAvi9vJkMcesraDWi+N3n8LjoCvRxLV/0rPxjPsYDSVhKi/EYP7We8JpyMil86VECHn4ebVgU5T98jik9hYCHnquf25ybTdG7z2GtrqonvIUvP4qhay88JkyjducmyuZ+RPCLHyNp23bR7KkQA1EGmbb1bhUmNUBFQEXgCAIq4VWPgorAaUBAePOKssPzS1PbPFsXFz+eD+/PE9kbSGpCImHedkAhspZdh8BsQXfFSGUu4blr/mYp6HToJg9GCvCuX8NP8ROYkbqUSqtjmsubA7oQqHPhxZym9abiktpzuVt5KrQvPxWlMqE2jn0/qWT3+E3vdbVGyexarSLLa8NTOogk7MBOZXNW1tD7/yD/QPPaYqHdFdZkDR0dRt0P+clgqsMU3oN7soxUW1vff2tlOSWz30SQUMlmw33sFDzGXKKgYcpOp/Tzd7EUF6AJDMF35v3UbFxFxYK5yN5+eF95E669BzWLnCnzENqIWIpefxL3ERPqCa+5MA9zbhYu3foofetSkin96D8Evzy7fqzCVx7HfeRESud+pBBeS3kpef+8ldC35yJp7EUh8p+5H+//m4mho/NWYlN8dFzoocFbowp3T+XRV8dWERAIqIRXPQcqAqcJgVqrhXszV3PYVOX0jNf4JTDGM0KRHRhtzWthbeIduSRh+mwRUkQgurF9sabnIUcHnzDnzx0mcmXKH9S1MF7DThO9ohjjHcGDmWubXL+4pDav5CB3BnXnhZwtPBM4gI0fqLrdpsDqdY0GGxJWs50MumvSkHf94PS5cLqDM7IGQWYTL4U1HzQ/zeBbYPev9syuaPHDwM0PvEKx5e5lf3AvXshr/ctU2bezlSyq7433IIho/hN3EvzSx8jevhQ8fS+ek69WSG3Fwh8wJu/C/75/k//kLHyEnKCVDO/RxRe+9q9GhLfhQ4m5y775BEmvx2f6HcpH1WuWUpe8C68rbiT/qbsVwlt3YA9lX39A0L/fru9e/OErGDon4j58vFPbEaeXuSdQh69WFTM4BZwarCLQRgRUwttG4NRuKgJtQUDobq9JPaJ7dHCAf4f1Uy42ictvjjZRRtj43nwkDxdwc0F31eh6iYMOmR87TOCylIVKMQhHmihm8VBoT25MXdZk+EPBPSmzGOns4suCsjRu9+nGvu+gpsSx8R1Zw98ppsdVGmU/BOEV/3Y3HEbadqRs76l8UGdkDWId/a+H1HVQsL/pVQV3hsg+jauzDZoJOUkQ1JEqScen1W5srm75i4/NYsFmMSPr7SWt8x6/HZ8b70Xj40/BM/cqGVXRbGYzNrMJ2cW13Qhv2bz/UbX4J/QdOuM363FkDy9ExlnIHfwfeVGZ9yjhrU3aRvlPXxL0xOv1eJR8+ha6yBg8xk5xauc+inJVHBnU3K5TsKnBKgJtRkAlvG2GTu2oIuA8AhZsrK/M5aUGl81aGuXDqOGsqMxhbvEB5yazWjHOXapUbtNO6F/f103S8k38OCYf/F35mcj+iptTcmxos+O7yVrFm/eylEVNxlzsE8Mw9xAyhZWZJJEg+WDb4k7uTtWCrDlQe1ylVcqsWS0o9mQeboVImz93bo/bEq0VRSjuguVvONY7qCPEDoINnzUfr5DiNVBw0B7jGwWdx0NtpUKUzR1GMDOjZX24Me0AFT/PxVJRiiTLmDLT8H/gGSStjpIPXmokMzi6kHbN8NbVUrViITXrlhP41FuU/u9tDJ264zZ4NJaKsmMZ3oN7Kf3sbYKfe78ej+L3XsDQvY9TGd57AvVcYJDxVKUMjp1DNUpFoB0QUAlvO4CoDqEi4AwC1TYz/83bxV+VR14DN9E5Vu/JK5GDeSFnK1urCxpFiEtoIivYUrNmFWDLKULT79jtcVH17NO40Vx2pBiGKEphq6wBoSPNyEM3fSySi/6EYefFjefm9OVKBvf4FqRx5d3o4byVvwMhu9hWWcSgkkgO/KZmdlvanx7/JzS8YDVJSFobHh5lSBuOlOx15jC1JXbAjXBwheKm4FATGdu9f0BpZtPhXqHQfUpj6UOvK+2lkjuMxJKzm3Xenfm4sHlpg8joekyYivuwccocQifrc9N9aHwDyH9qFqHvfKMQYavJhKUwF11o5ElneI0Zh7BWVeDSuYcyp5AD5dw+leBXPiX/ybtFzWfl5+I3zVpRhuTpTcAjL1L49H0Ev/nVsWz0E3fgc/3dGBIaO580h+1IDy2TvbX4a9XcrkPnTw1SEWgnBFTC205AqsOoCDiDgNlmZXrqEqqsJ95in+oTz1TfGO5IX0lFE5fJzBv3KmRWDvZDM9Cxv2SDdW68GzmUKw79Ub9M4xeL7VIHvQ5rag7mZdvQz7yo0WN8Fj2a5/O2cKCZEsNz48ZxT8ZKPo0ZzcNZa3nWbxBbPlF1u62dhURBeEWhNTNIWvD0rkJa14JWtrUBnfncWVmDkCwExMO275qfpZe44LYPso+VtWb0g5C5FfRuVPnG8VoxpNQ1nfXPufda/O//N/qYBKrXLadszof43vYwhq69KXjqbtzHX4r7kDFU/vkLdUlb7Rrep+/Da9qM+ktnrUFwvIa3dvdWJVsb8MhLaANDFM1u2Q+fE/LqZwq5PtoaZnjFz8Q4+oQueF50BTVb1lDx45cEvfBh/SW2ltYRoJV5OlSPh6yS3db2S/1cRaC9EVAJb3sjqo6nIuAgAoeNVdyW0dh79bHQ3rjLOh5vwcLMkpqD6Z2f0F4/Dm2PDk3OJizKbCmHlbLBkTp3XosaypUpdtsr674MhMZXePWKssa6ay5Ufm76fQOaHvHI4XZf0/eihzO36ACrm8lEvxM1jG+KDnBTYGdeyd3G88GD2P6FFVOVmt1t7Qh0v1IDVnvdBo0B3L3rkFa/21q39vncWVmDmHXoHbD1O7s3b1NNPMQwYWP25rFPOwwHvRd4h0DGForjRnJ/M968Vct/p+L3eciu7rgNG4u1soLqNUsI+Ocr2GqqKP38HcxFBWiDwxSXBm1AMOW/zKXqz5/xvHQ6Hhde3Cw2wkXBnJMBZjMIIivL+Nx0P279hlK56Eeqlv+GtboabXAoXlfdgqFD50ZjHU94xTpKZ7+OKe0gmqBQ+8W5mASH9uaNcAM+Wln13HUILTVIRaB9EVAJb/viqY6mIuAwAsId4c/yLD4sSLITzKhhbKoq4LOifU2PYbVi3rAXW00dco8OmN7/Gf2McSc4MFgPZGFZm4T26tHEe/rzXNgArkn9UxlTVF+jzoitsBypYwRU1iLidRcNUDK8Qu8r+XjwfMRAtlXl833JoSbX8o/gXhRZaonWe7KjppAxhiiq1rhQmKzqdh05AIlXaLDZ7LZkehdw9TEjrXzLka7tE+OsrKHDCDB4QNJvzc/fXRSrKIGUVcdihItD2kaI7k9NTRmL5FDml506b972AefUjDLTX0d/dy0uanL31ACsjqoi0AoCKuFVj4iKwBlEoNJi4s38HTwQ3JM383awriqv2dWY5q1AjgwCFz2anh2w5Zdg/GAB2kuHgkZG0zUGy5b9WFMOo7t8OJ3dAng8tBfTU5fWj2mc/Ru66ydArRHz0i3opgxFZIOtOw8hd4lGEx2irKXOZua9/N1NrmWydzSDPcPYUV1IgosP5XVGOueGkPqnmtl19Ch1v1xjr8prk9C723D1BZa/5mj3k49TZA2eLRPY42cZcS+s/cheTa25JmJWvw9H9d7+sZAwCmrKoSSDutih/CPHSKnl/Dorfdw03OQvpAwnv3XqCCoCKgJtQ0AlvG3DTe2lItBuCIgKZ/dmrKHY0nJZX+Mb89Dff4Uyr7i4Zk1KQ/J2x7JsG5pLBmHbk461vFrJ1ia6+PNASA9uSLPbiFkLy5ADvLHmlSAF+UBlDZZVu9BO6Id59S5F+iCauHh2gYsP/27GAi1U58YbkUN5LGs9/w7vyzv5u3nQrTfbP1czu84ciO6Xa7HbH9sweEq4eNvscgAHPJH3ZpeyYm8OEX7uXNwrks9XHcTP3cDkPlGOL0HrYpcprHDQrUGM3OUiMFbbL7w11y4YBVpX2GN3AVGaUsBiPwiSnbKKQ1HDedoBb15HH0YUhTDu3dlkuNfVt9RfSnN0vPaOM0gS70e5YL8CpzYVARWBM4WASnjPFPLqvCoCDRAoNNdy4xFy2hAYobWlzoTk7oLxk9/Q9E5A0/sCJaTu5TkYHrmmPtxWXYvk5kJftyDuCOrKzLTl9Z8ZP/hFqbCmnTbc7v9aUoFlXRKUV6MZ1FWRRQzzCOUqvwTuyljZ7N58EzeWWRmrFPnFbel/8VnUhWz6yIKl9doC6n43QKD7NEF4bSBLuPqAztWCtOZ9MLf8paeoopaZH69hfGIY+3PKGd01lK4Rvrz++24evKgbsUGejuPsrKxB+BWMeqD1TLSi9/0WqouPrWXUg3brMp8IqvVefF3nyerK80Pa8K8QAx0MamrX8YOpRqoInBoEVMJ7anBVR1URcAoBMzb21pTwWPb6+n6WlGwsizdhK6lAO7o3crdY6t7+EU2/jkrpYMkG2kkDG80z2D2YGwI6cWt648tw5t/Wg78XttQcNCN7Ifl5YHxpLtprLkSTEKFocV+KGMjVh+xa36aauKQmyiOLLPCcogPc4t2FwqV6ilPV7K5Tmw10n6rBYgFZYy9MptGakTd9CnUVLQ6Vml/BV2tS+NdlPak1WvjX91t55Zp+LN19mNJqI9P6xzi+lLbIGnperkgTSN/Y/DyRfSEgrrGrwwWjQWSVPYIgZSW2xKnckNGCNMLxpzirIwXZjdXLqHa7Z/U2qYs7TxBQCe95stHqY579CNTaLCwrz+L9I5fY6oSE4e6pWHekYPpmGdrpY9B0jMKy/SCyjwdyp8avsEd6hnGlbzx3ZjS4NHTksS07U8DVgC27EPOfmzE8faOdNB/x3f2lw0SmHFyoVHRrqj0a2ptcYxUBWlfKrEYCcCUqNYD0leeXFrO9TlHXyzTYLBKy8OANEpoTE5rtXzXOijYxmdVq5d4vN/Ls5b3xcdfz2LdbeHxKInPWHsLPw+Ac4W2LrEGIjftdCytbcZQYOBP2HefdO/g22L9EkUZYcpLY4tud94r+vlneWYF6El01GNRLau31a6OOoyJwUgiohPek4FM7qwi0LwKVVhNfFCWzsCwD8+JNSDEh2JIzkft1xPjyXOTEeHQzxiLptI0mHusdyRTvGEVu0FSzVlRj+XWdYq6v6SUslCQ0XaKV0LlxY7k/aw25Qp/ZRJviE8sA9yCWVxxmoncUv5alM1Puxq45ama3rbvf5VJBeEHW2fAKkbAa69AmfQ8Vua0OmV9Ww3PzdxDk5UJybjmlVUbCfd146aq+Cgl2qglZw4EVUOxgEQoxeJ9rIXsb5O5pfqqADhA3DDb+71hMQALED4HKQqitoCq4K2+XatjXjDevU89xlgVf66tjoIcWL1XJcJbtjLqc8xkBlfCez7uvPvtZiYAgvc8e3sye2hKMb/2A7pZJ9ktmu1KReycg+zbWaQoSOt4rivsyV7f4PKafV6O9aGAjsvxJ9Ejezt/Fzpqm/VXDde68GjmYm9KWM+dIeeEFHS5izdt/38zc6TgUXabYM7xaVxueIRLmylp0B35uvppZg0X9sDGNBdsyGd4xmPhgLzoEexLu5962ZQu7Mb0H7GnBbuz4kf1ioOMYWNdKZbh+MyB9k70gxdHW52o7UY4fBkm/U9ntUu7KarnscNse7Mz1muilZbyXFl9Vx3DmNkGdWUWgCQRUwqseCxWBsxCBQkst92aspnjhWix70xWSqmR2Pd0arXaydwwjPMN5MGuN8nORwUWSWi09LGLfiBjCwooMFq5bjTUrH82ALsjejYnTt3HjuCP9L16PHKI4NzwTOICs37SUH1azuydzbLpMlrGahSUZeIRImMrr0Kf9BkVN+x43nGvdgXw8XXR0i/RFaHoP5VeILadvbABebk5meNsiaxCLGXADHPyr5fLE7gF2h4ZV7zVYvgyj7ofkPyAskbq6apboo/iu9O/xBWqQm4apvjqC1LLBJ/ProfZVETglCKiE95TAqg6qInDyCFhtNqYdWkRdVj6yv3e93vboyNN84ujvEcwjWevqJxP2Y+a5S9Fc2BtNlxMvMIkqbZKLgX/3HkeqsZwvi/ZjXrIFzbBETL+sQXthb2Q/L2W896KGK/KKy3zjWFVxmIGGEHz3+ZK1XiW7J7u7nS/RKGWFXbwl3PxtGMtMuBxeDPnJDg1dUF7DMz/tIKu4ik5hPrjoNKQWVPD8Fb2dz/a2RdYQ1h1Cu8OWOS2vV1xyK06HjE3H4kR2WNKAR4BSerim4ziezLOSbz63z1UXg8wNAQaCG6uNHNpPNUhFQEXg1COgEt5Tj7E6g4pAmxEw26xclrLohP7/55tADzc/HjuuBLHNYsX861qlkpruunGN5AvWrAKs2w9y9403K+WLX8neAkYTlhU7kPtegOTnhWXlDsUR4rGQPmSbKtEg4a915UBtKZeZLmDv9+oltTZvZoOOnS62Z3jd/cDgJSmE17VwGeTscmj4F37eQZivG9cN7YAs229FrT+Qz+bUImaNa1wat9UB2yJrEIOKS2i75kNF88VShFac0Q/AsuOKagwRfX8BIXHYs5DMhAk8kWNsdalna0CETuaBIB3+WlW0e7bukbouFQGV8KpnQEXgLEegymrmqkN/1K9yhn9HEgxePHlccQjrocOYV+1Ee8lgbHklWFbtRO6VYK/KVlSOZf0epl0/nUEewfwze4Pi1iDFh4sqFtiyC8BoVqzPpnXuRx83f74tOsh9IT0VucRnEaNZ/1+lUoLa2gGBTpOOEN4A0LtL1Jaa8ShfCVlbHRp91mfrePmqvri76OrjhbThs5UHeOby3g6NUR+kc4UhtztXhEJ0jhkEnsF20ttS6zzBXnltv70IitKCOinlhik/DLKWGo9gvjX5sLzi3JM2eMkSL4cbcDvyxcM58NVoFQEVgdOFgEp4TxfS6jwqAm1EQORUC8w1SiGJG/07EaH34NmczY1Gs5nMmL5dju6q0UhaDbaaOmz5pYisrmZwVywLN9Jv6kXcFZLIzUcKUpgWbkByd0XycsNWXqVUW4vSe/Ji+ACuTV3CD/HjmX5oKZ9GXMiBH6C68OzL7m7L+INeUeMcRjatcCefrXuEu0Z+SKCn3dZtyd7/kXTY7m4R6deFi7vPQi+0rUdatbGcd5bdzOhO19MvZpLDc7UU2GmSkDRIeATb0BokqouteNeugfQNDo3/9qI9BHm7cGmfaFz09hpet36yRrElG58Y7tAYjYIG3gj7l0NxmnN9h90FG79o1T+YEffA2k/A1MAJRLg95OyA2CGwcz7WvtO5JaOWc43yfh7tqtj5qe5jzh0dNVpF4HQjoBLe0424Op+KQBsQMNms5JqqyTZW8XzulhNGsBlNmD7+Dd3tk5E0MsZPF6K/aWJ9nJ/GhY9iRnB5ymJMy4WlVDGyIMIrdqAZ2AVbURnawd0Ql9REBTVBej8u3MvVHgnod3qSs/XsI7uivPKrf1zDw+PnOoSo2Wrik1X3U1FbxA2DX1YIryC6qw98x41DXkGr0fP9lhcJ8oxmZMfp9WP+tO010op2MrTDle1GeDteJAvrXbzCJKX4RFUR+No2wqGmbeWOf8CKGpNiTRYT6M4dY+wShj1ZpQoJ9vcwOHRpsdGYbZU1dBJfNmywr3HBkuziKkqq6ugW6WefRhS5cPWG3QuOTavRw7BZsOsnSBiFNW8/u4L78nrBuVO27/0IF1w0EqqQwaFfQTVIReCMIqAS3jMKvzq5ioDjCBitVrJMldzbwH7MciBL0d1qusaCVoNl0z40/TphPZitZHuPth87TGD6oSVUmY1Y/tisSB2EzEGKCYaiCuTIQP49Ia+4AAAgAElEQVQbPZzPCvcx1iuSDGOlwmNGV8SQ/PPpIbvZJfv5ddc71BgrFfI5qfudxAb0sJO5w6tZuu9zjOYa5WeTe97H95tfZF/eOgI9orl2wDP4uIkKDs23FclfIUjynpw1XNn3MYXwrkj+mipjKZO636V03HDoFzJKkriizz+VP4uM8Ir9XyuxQZ4x7Ud4J2qwmGz4RstKieGqQvDV70AShRna0ExmCxlFVbz75z56RPnSJdyH/vGBjo/kgKxBuENE+rkT4X+cBdrI+2HlO4hbeIt3ZrN2fx4X9Yxgf24FIzoFExXgYV/H0Nth+w9QWXBsXYIw22z2cnMFB6iK7M8HFXp21pz98plXwg2KZteeX1ebioCKwNmOgEp4z/YdUtenItAAAZHpzTZWcnfmamy1Rkw/rUI3eQjGN+eh6d9Z0eDaCsvQdI0B2Z53+jJ2DP/K3kCa0V62VsgfqKpFlC4mrxTtRQOUS2qZpgrKzCYGeQTxQcEeXg8ayqaPTh/x+PCvuxkYN4UekWPYmbWcv/bP4e7RHysZ2ff/uotbhr6Jt1sQczc+TbR/V3pFjueNJTN4YtIvrZ6Rwsos5m15gVuGvYWY5yjhTSvcxa+73mXmkFfRaVz4bstzdAweSJ/oiZgtJj5adS9X9HmUjWkL2pXwXjBBo2R4fWPBapSoLLDh75GMtPfXVp/laMC2tCL+2HWYlLxyheyKzK6rXkOkvzuX9Y0mMepIdtXREY+TNZjMVj79az+H8iu5ZnAcFbUmvtuQymOTEwnxaWCPl3gpVORD6lreWrSHeyd04dMV+0kI8aLWZGFs9yMSi7BECOkKW4/LyA+9A7Z+CwOuhw1fUNP/Bm7PrHV01Wck7sVQA0F6GdWQ4YzAr06qItAmBFTC2ybY1E4qAmcOAZPVQq65hjv2L8Gy8xC29Fw0Fw/C9MlvyNHBCgE+2t6PtluLras87ia91arIHnTXjuGKsM50dw3g3YKdvBc5nCsP/cF3URNImmOjrvz0ZHfFek3mOjQaHbIkU15TxJtLr+fJi39le+af7M1Zy9X9n1Iey2iuRZY11JmqHSa8n699lOEXXK1kh99bfns94RXjLdjxNjuyliBLWkK945kx6AW0sk7J7Irso5A3/LbrvfYlvONFZlfCL17CVGVTkp4BfqlIu350+GBNe3MZ0/pF0zXCl/hgTzxcdOzNLiWzqIpxbdHxxo8Aw7EiFL9ty2R7ejFT+kTy1ZpDPD6lh2KDtmZ/PjePuuDYOhtkhzMKK9mQUsC2tGJiAj24YXgH9NoGOVBBqkVlt6IGld0ECY7sBUVp4O6P0WpjhWsMX5ecvi9bDoMOCLIbqJc5dl3Qmd5qrIqAisCZQkAlvGcKeXVeFYGTQMCCjeTaUv6RuRbj2z+gmzpckTFoR/WqH/XliEGsq8xlfmkq1po6RdcpuRwrTCB0v9FWA893Hs2M1CV8FXMhD2ev57GAPpjWu5GfdHp9UXdlr2BT2q9YrGasNgt55Yd48uLfWHPwe/Ir0rms14ONEKuqK3OI8ArCnF60myk971f6NyS8G1N/JTlvHVf2fQKtrGdx0kcYLbUM7XAF3295iZuHvaGQ33YnvOM0WC0gKvDWVkBVvo3A4MNIO75x+FQ8/eM2Hrm4Oy76dsozKsT1NljxprKGDQcLOJBbzvSh8SRllSgkVlihiczyg5O6NV5n76shbw9k70BcqLt2SCzb00vYlVnC8E4h9I71t8f7REHncSdWaes7HTK3QOwgSF5CVbdLeaHARpbp9J7BlsAX70vejXTBRZZUGYPDp1QNVBE4exBQCe/ZsxfqSlQEnELAYrNRZjEy/bfZWA9moZ3QH8lgJ7T/COlFmdnIh4VJyp9FUQlRUEIztLvyZ6Fltfy1g+9veIjbMlfyr7C+LCrNIMHgQ++CMFIWOrWUkw4urynkrWU3cfvwdxW9bFlNAW8tvUEhvIKw7s5eyfSBzyrzVBsrFC2vTmNwiPB+s/EZMoqTkCS7xEO4LrjqPJjS8wG2ZiwiIbgffaMvUj7LKN7Dj1tfoX/sJaw8MBeNZCeTRksNsqShX8zFjOl840k/b8JYQXhtBHWSqS62UZlvIziyEGnLF62O/fKCXfzj4m7OX0xrdWSggaxBnJGPl+/Hw6BVvH6/XnOICD83nri0x4nFLbxCofsUWPMBQgrxv5UHiA5wZ0y3MD5alsxNIy7AoDuS6e1zDRzeCTm7j61IkG3h67tlLvScCvv+ILfTZB45S7x5AzUSr0TYnTtUNwZHDpIaoyJw9iGgEt6zb0/UFakIOIyAFRuiOMX/HfoDs7j8A9zg31GxLnsux+7mYNmXAa56xabMVlKBplss1vQ83r1sJl+WpzDALQidrGFpeRZP+vRn66enP6uWV56KkB08MO4rhVgu2fMpaw/9wOMT51NjquC/f93OTUNeI8AjUnFSCPNJoG/0JP6z+EoenfBDIxux1sBrmOEVlmSFFZlc0fcxNLJWuRhXUJHOVf2ebDRMe2d4O4yRlbtagvAK/a7I8IbElyFtmN3a8nnxl53cODyBEB/XVmOdDjhO1lBUUcvdX2ygV7SfchFNyCeabf2uh7S1yuWz95fsrXeP+GDJPqYPicfD9YgIwOBpJ9Z/vd14KOHXK4TN4vOKPGr84phvDWBR+Zk1KutkkJkVpMdT9dl1+jipHVQEziYEVMJ7Nu2GuhYVgTYiICjqTanL6OUeyMXe0dx3xMlB+PFath9EO6Az1ox8JB8P8HLj0YAeZFBLal051/l15M7MlfwUO5Etn1ow17RxESfZ7aj9l6vOk3FdbmbFfuGqYGXm0NdJOrySZfu+oM5cTVxAL8WlQUgNvlj3GDllB7l2wLNE+HZ0aAUNCa/QAwsym1Esso0SAR4RTOo+6wTHh3YnvBdqsFqthHTTUHFYGBdYCbmgCnn9h60+w3frUxVpwdCOwa3GOh1wnKyhtMrI12tSuGtcZwT5FZfk0goq6BjmrXgAH63ypswT1BFiBsLGz1mTnKdoee+b0IWqOjOv/rabQC/XY1XgEi+D8lxIO1YWWxlj6J32csX9ZsD6TzENvo27s43UWE+flrwhZoPdNUzz0RGgVfO6Tp8ltYOKwFmGgEp4z7INUZejItBWBGqsZkrMddyW8ZcyhK3OhCW7ANvm/WgGdVEyvbqxfbnSN56IGpnXKvbyS6dLlNLFH4aNpGSFnuKDZ4ZYtPWZz9V+8aM1iqwkpJtEaYaNmiII7VqHtOa9Vh9p86ECkrJKuX54QquxbQoYIC6WNS5CIQjsm4v2MKZbKL1j/NmRUYKXq44rB8Y2nmLQzUqpYMqyEVZpc9elKg4Sl/SKxGK1HdPyil6jHrTrhW0NLqeFdYfQ7pC/HwLisBansi98KC/nnf6yw5O9dQz10BCskt02HSO1k4rA2YaASnjPth1R16MicBIIlFrqmF2wjxWV2ZgXb1JIr81qRQ72VUoMx/sE8pBnJ27b/AsfDprGO0W7mOgdR8esYFKXqmT3JKB3qmvcSBlZIxHcRRBeUXjCSliiFWml/cJYS01kXd9YlMTT045dUGytj1OfHydrEH1nfrya56/oUy+jEGT9ga828saMAY2HjuwL/rGwfZ5SCGNbehHXDolvevpOY0GSYO+xstlKYP/rIHU9xA5Q/l0ZN5JPq13ZUn36XBtuDtCTYJAJUcmuU0dHDVYROJsRUAnv2bw76tpUBNqAgCC9v5WmM2frKkXGgEGHHB6AHBnEvPjxXLv4c2Z1GcKO/EwKayt5pOsl7Pzy3Ca7ooJaXTNajJuHvo5B18A3tg2YtneX2BESWr1MwAVQnGqjrsxGeC8JVrzu0FT3fL6et68f6FCs00HHyRpEfzHfmzMG1EsYRMZ3xd5cHr/UXhikURt6B9bN35CXk634Avu4G5pfwvBZsOHzxqWJXbyg/w2wbjYMvhnWfoR56J3MzDg93ryPBRsI1Mn4qRUlnD46agcVgbMZAZXwns27o65NRaCNCJRbTOytLebfH76jVFPTJMbzftRw3tz5FwluPnQLiuT5db/xy8Rb2fihrdFb5TZOqXZzAoG44TIag0RAgkTRIZvixRvWU4LlbwCtXxp87NstPDYlUfHeFU0Un/hpczoTEiPoFtnCxTJH13icrOGbdYfYnVXK5f2j6Rntj8gyF1fWcri0hpgAj8bV1xJGgc6V2f99k5kjG/j1NjW30Px6h8GO4/yHu14MdZWgdwVTHSatnnUeHZldfGovsL0WbsBdI+OqSnYdPSlqnIrAOYOASnjPma1SF6oi4BwCtTYLFRYjN6Ut58mwvmw7nM7WqnyeiBrALSu/5ZNh11K6yovS9NYJlnMzq9GtIRA7TEbrCv5xMkUpVsWTN7iTFWnt+2Cua6071XUm3AzHSh+Igg/P/7yTmAB3ckprmNInihGdQ9Bq7FZsTreEkSCy4nt+r++6I70YvVamU5g3OzNK+GVrBquT85XCFLdf2BH5SGU/pcOIe9n21XNgMdIr5ogH75GRxNpFBTY/D7vNF4Nvhd0LoDyn8TKH3QWbvoQ+18K276jqfQ2vFEGqsf3Pq4cMb0a4KpZjqorB6dOidlAROCcQUAnvObFN6iJVBNqOgLArW1OUwUurF/DNRTO5a/8ybvHtQmx+FJmrzm0pQ9tRObM9o4dKuHjIeEdJFB20odHZCIizIG38tPHrfQeXabXauOWTNcy+dSiFFbXM35yhuCSM6hzCxb0i8XI7VnDEoSEVX9xb4a+36sPFJbT5WzL5bXsmfu4GJvYIZ9/hMq4YEHuiRVrXSVBXxexPPjohyysI79uL9zIoIZARnUMhqDNE94NNx3kQh/cU3wIgaxvEDID9KyhKnMYD2e17gS1CJ/NUqAG9mtV16GioQSoC5yoCKuE9V3dOXbeKgBMIVFlNFFdVMjttC25miZuCh5H8fRuzf07Mq4Y2jUDMEBm9l4RPJBQm29B7SviGmZC3f/X/7d0JdFzVfcfx35sZ7butXZZsyfsKNt6xsTEGhwQXQgskISSBbCdJSUsb0mZpe9KehNM2bRoKISRN0wBNk5CwmjhmMRhjx/u+SZa12JKs1drXmXnTc994BRtLY9lYT993DgdHnvfm3c//cs4vT/f9r9R1IiK2B3+xSY/cc53auvtUVt+hA9UtWrXzmNND9zt/Nmvg13zXsoaXdxzV+uI6ffWWKecuYTjvlT3SjQ/p4DN/52xWsam0QTdNzVVpXZtMW7WctHjdNXfMmSBu1uyWvyM1lKq8vt0J7WZ3Nq+5h4oNUv4c6fhe9WRN1SorSy+3Dc4LbHemRmlJolepXtLuwCcIZyAwtAQIvEOrXtwtAhELdNoB/eHgDt0xcbY2/Wjwfy0c8Y0NwxMLFnoUn2opKdcEXikuLaTkTL+8+3/jbLowkONwbavTH/ftQ3Xq7PUrPSlWRRlJGpuVpKLMJI3PTnZ+NuDjXcsajjV1OEsYPr6wqH+XmnmX1FQuHd0msxzC7L42bVSa7po3RinvfuJsdmqbcYdqV/2bsx1xTXOXbpySo4L8UdKcT0pvPyYt+5q09vvqXfpXerimT63ByH87Eeex9K3sGGX4LMWSdftXTz6FwBAXIPAO8QJy+wgMRMBvB+UJeLXvuaCznS3HByNQMN9SfLpHyVmW6g7ZSs7xKD65V76S56WWqgHdlAm8B6tbVd3cqayUON05Z8yAzr/gh89a1vDmgeNaOjl7YNsZx4+QZn8iHFYl/WD1fv3FiimnOz2s3X9c28oa9dUVkxUb7ZNm3iM1HtbLL76gXn/QeSHvlul58sy4Xepulsw2zzHxCrVW60jBUv1TnT+icS5I8OmBET75PJb4HUdEhJyEwJAUIPAOybJx0whcmoB5L6p2r63KjTzpvTTJyM4umOdRQoalhAyp/mBIaaM9io7tVXTFqvBT0QgOsxNad1+wH8sNBnDx+Q9IxWv169+v1YSclPe8gHbRK83+pFS1Xao9qLqWLh2saXXW+07KTXVOLatv1/6qZq2cVSB5Y6TFX1bH6n/W9ooTGp2eoMQYn9KT46QbHpQ2/1y67uPSvlfUMflWPd2VoE0D7M37YEaUxkZ7lcabaRctHR9AwG0CBF63VZTxINBPAdvvvFekvb8Nyt/F095+sg3Kx/LnepSYJSWMtFS731bGeI88Vp9ij78q1RdH9B17j57Qv6zapw9dk+e8qPaeZQORXNW0GPPFqmXbi3pybbH+ZuX0gV3FbEIxfpm06WfOed95bqfmjc3Qkfp2ZSTF6mhThxZPzNa8cRnh605bKXW3afvrv9PokQl6cccxLZqQpYkLlktpY6SKTdLkDzk9eu0bH9L9/ezNOyHGo4ezY9Rrh5TkYQ3DwIrIpxFwhwCB1x11ZBQIRCYQktMSq3y97Tzx5bgyAqPmWErOsRSXZql2X0hZUy3ZfX1KaForHd8f0U3Ut3brkZf36uZpOVq1s0rjspJ055zRGpORFNH1nJPOWtbwyEt79JXlkwbe8cE8JS5ZK52o0J6jJ1Tf1qPl03LV0NatUEjO5hSxUT5F+U4uMFj6l9L6H+mFzYed9mqW2Y3NHPM+I5W+rb7M6eqtL1MwNlmHRs3RE43vv7Th7lSf5sT7NMJn0XIs8pnAmQgMeQEC75AvIQNA4NIFzBKHzoaQs7aX4/ILjJrtUcooS7HJlo7vsZV7rUd97QElda4Lt+GK8Lj/yfX6+RcXO2dvPdKg57ZWOn++9/oiTcsfEdlVTy5r2LZ9myobO/Snc8+sEe7o8Sshxvf+a3tzr5Gyp0g7/s/5/he2VeqO2aNlnkj/bmuls+64rduvB5aMU4ZZvjBhmQ5XNaiwffe5fYQTM9Q75Xbt/N/vaca931bJ776vgju/ph93xqi4973/Zy3d59HDWdGyQlJWFE91Iys+ZyHgHgECr3tqyUgQuDQBWwpZ0oEXg2o5yhKHS8N8/7PzZnmUWmApJtFSzV5bBXM96qgLKC24UarcEvFXP/zLrbp73hg1tveqrKFdpbVtKq1r18LxGfrG7efZBrg/33RyWYO9/xV9+9md+t491zlnmd6/n3h8nfJHJjhPaSfmpGhKXqqzMUWceQnt7OP6L0q7X5A6wh0odlY0aePhen1u6QTFRHlV0dCufcdadNusfOfvA/O/oO3P/lDz8uOcYFxS26b0pBgtuftLqi0vVmJ8jAJxI5VQv0fdc+/Tg1XnbtaxPMmnO1J8ivZYiiHr9qfKfAYB1wsQeF1fYgaIwMAE/D3SiXJbpa+xxGFgcv3/dO5MS2ljPM5mZsd32zJ9eZuPhpTh2xLuRzvAY3Npg372VomONnUqNy1e0/PTVJSZqLGZySrMSFTCyS2IB3jZ8MdjEqT5n5XWPapDNS1OmzPvyV3Vnnj9oJZOztGYjERnEwoTZF/accxZSvGpxePOfF3hQikxXdr7kvOz/36rRJ9YOFax0V5VNXU664O/cvMkZafGh8/Jv07V/kQllb2mnZVNqm/rVVpCtLMUouO6z6ru1R8rY9HH1LjrVUWPnaedWVP125aAs1Pa17OilRPlURq9dSMqNych4FYBAq9bK8u4ELgEATtgdoUN6cAqWx21PO29BMrznmqWMIwc55EvOqSa3baKlnjVUBJSZvJuWSWvD/jrTIeGjp6ADta0qKWrTx9b0M9euf39JmdZwxtSc3iJxKnDbGn8m83lTiu03++q0jvFdZpdNFJ/MqvA6epwzuF0WvgfZye5muZOPbOhTP6AraS4KN27sEh2KKStZY368LXhp7xa8Dnp0Bqt27hVibE+5yW3w7Vtuum2j6ohGK/6XW8ob8l9anjtR8q885t6psOnL2dEyezDFtPfcfE5BBAYNgIE3mFTagaKwMAF/D0htdVIJWuCMl0dOAZHIGeGRxkTPPL4QqreZWvCzV7nSW92VrGsg69E/CVm+1/z9NVzVieCn687rJT4KH109uiB9dE9+y5OLmvQwdWnf9rdF5Dpz/vE68XObmqmM8SNU7IVHxN1/vufdIsUsqXiCwf6R/9wQF9aPlFRPq+UPk4ad4Pa33xSu4+ecDajGJEY4zzl1bz7VfrWsxo5Ybbsrla1+z0aOWuJkk4+eY4YkBMRQMC1AgRe15aWgSEwOAImoygkHd1iq2oryxwGQzV7uqWMSeFgWrM7qPE3e1S1NaRRheWy9j4f0Vd8/5W9SoqNcl4IMy+CnTrMLmdPv3NECydkRL4pxVnLGk5d12wBbLYuNk9oc1LjtGLGKOevzFPbZzYc0fxxGZqcF+63e/pY9tfSm/8hhcIvR/b0BXSgulUN7T3O/zadJlITosN9ec0x+z6papvWvvGGs2a42x90ngSvvGGuWkcvVfO+t1S06HYpKkHyeiNy4yQEEBgeAgTe4VFnRonAJQuYJ7xBv1TyKi+1XSqmaUOWNdXjvCVYtz+oohu9OrbFVsHEalm7fh3R5b/z3C5Fey0V17bp4wuKtGJG3unrtHb16W9/tU1PPLAwoms7J827P9xe7F3LGoK27ayd9Zz1dHX1riqt3l2lLyybcG53CLNrWnu9VP5H55JPrS9VZnKsswbYdHsw3RpS46OVNyIhfJ9mtzaz2cT6x7VqxzF5PZb8QVsfXjJPvqkrpJhEp08wBwIIIHAxAQLvxYT4ewQQOEfAvNTW1RBS8atB+TvBiUTAhN3saZbsoKWGQ0EV3uBVxcagCq9pkrX9qUguqafXlzqbTdw4JUfffXG30z3hi8smOq29TOB98Beb9NSXbojo2s5JZlmD6ct74Penr1Hb0qUn15Y4u6Itn5p7zi5vx5o69NT6I/rWHWd1h4hOCK/NXffD895HT19QP1i9T/PGZWrZ1JzwZ2beJZ2o1L531qixW1q68m4pY7wUffIFt8hHxJkIIDCMBAi8w6jYDBWBQRMIScGAnB6ylRtY5jBQ14wplnJneJ0XA5uOhFQw36OKjbbGzmmVtSW8K9lAj40lddp8pFEP3TrV+fX/T9YWa9ORBl1TMMLZ8GHh+Ex9ftnEgV72zOfPE1bN0937n3zH6ciwZk+1slJi9alF45SZEqdtZY16flulvnt3uI3Z6cM8sTWba9TscX5k27ae3VyhexYUqeR4q/Oy23+uOaAHV0w5c86yr0nVu6TsqZLlkTwsX4i8kJyJwPAUIPAOz7ozagQGRcAsczA9HA6/FlRTKd0c+ouaOcmjnGst+btDajkqjZptqWK9rXGLOmVt+kl/L3PO58z61398fpce+8yC0z83/W23lTUpOzXO6cV79rKDiL7kPMsaTDs0s6vbksk52lbWoF9uLFd9W7csWfrm7TPeu443OVeavlLa8KRzC2bHtTV7avTJRWP1iPNkOlFH6tv0D3fODN/imIVOmzL5osJhlwMBBBCIQIDAGwEapyCAwLkCgZ6QWqpCOr4npLYqgu/F5kf6RI9GXWepr0Nqqwk5O62Vrwtq/E19st55/GKnX/DvH3v1oP78lskRn3/RE8+zrOF4c5ceXXNAj3xs9unTA0HbWUrR2eN3NqV4T9Ce+2mpfIPUUOqc84PV+52X3DaW1Ou+RWOdbgy+MXOkosWS2VqYJ7oXLQ0fQACB9xcg8DJDEEBg0AT83VJfZ0iVf7TVXE7wvRBs+nhL+XO96mmVOuptZU61VLbO1pQVQWn9o4NWj0G/0AXW4P79b3fo4Y9Mdzo2nH3866q9OlDdor//6LUqzEw681dZk6WCOdLW8Hrl9u4+ZznG7MJ0pY6d6WwvLI+PoDvoBeSCCAxfAQLv8K09I0fgsgn4u0IK9EmVG22WOpxH2Ww6MXq+R51NIXU128qc6NWRt4KastKS9da/X7a6DMqFza5rxa9JzUfPuVxfIOi0P3tgyfhz+v2azSmeeP3QOU+AnRPNy2sHVkut1eHrmGULRddLpueD9wK9fAdlAFwEAQSGowCBdzhWnTEjcIUE/F1SKCRVbAiq4RBPfE+xjyzyaPT1ljrqpL6ukEYUelS2Lqipt3ukN03gvYqtzrOswYzrlZ3HtK+qRV+/bZoqGjr0wvZKPXTrNGfIn/vpO/qvzy86d9aZJ7wjRkvNVVLhgvCmFATdK/RfJl+DwPATIPAOv5ozYgSuuEAgvK+As9Shdi9dHdIKLRUu8qjteEi231JKvqXKjUFN+rBkrX/c7Ot8xWvU7y+8wLKG32wqP70TmunecO/jb+uW6bnOlseldW169NPzz3xFXGp4SUN6oeSLI+j2G58PIoBApAIE3kjlOA8BBAYsYIKv5ZWObrZVs2P4Bt+0Qo8KF1tqrTKEISVmWqrebmvC8pCszT81C6EHbHtFTzjPsobKhg499tpBfffuWTpU06qXdhzT9RMy1djeq1uvyVNibJQ0slAas0BKTA9PBF5Gu6Jl48sQGM4CBN7hXH3GjsAHJGAeYAb9IbXVSDW7bLUfv4p/hX8ZjFILPBp7o+W82OeNthQ3MtzTeNzioDy7npa6mi/Dtw7iJccvk6Jiwmtwzzqe3VyuZzaUKTkuSt9YOUNTRpmthS2pYHb4ia5pKxbFzmiDWAkuhQAC/RQg8PYTio8hgMBlEDAbWPRJdkCq2W2r7oAts+7X7UdqvqWxN3l0ojSkqAQpJsnj7Lg2ZkFA3r2/Nq0brm6C6ETJPOV9+707ppmNJJw2ZCl54R3RzMtopsCsz726a8rdIeByAQKvywvM8BAYKgImE5nDZL2anUFnBzK3HsmjLE1Y7lVDia24VEveGDlPe0fN9Cuq5LkznQuuZoDzdWswa3Nzp0s508NPc30x4T66HAgggMAHLEDg/YALwNcjgMB7BcxaX0+UVH/QbGYRVFeju5SS8yxNWOFV3b6gEjM9zm/9zbKOnKl+RZe/LJ2ouPoHfGpZQ/EbUu40Ke9aybzQRv/cq7923CECw1CAwDsMi86QERgqAnZQCgXCrbuObbfVXhNST8tQufsL32dStqVJH/Hq+G5byXlmPSuZ4GsAAAhjSURBVLPU1RRS5viAYqvXSA0lV/cgTbDNmiQVzJWi48Jt1MxLaBwIIIDAVSpA4L1KC8NtIYDAuQKB3vBvx004PFEWUlOZrZbKobnsISHT0vgPBVW1M6iRY7xOU4ZQn09p+UHFN7wu1e6/+sqfnBMOuenjwyHXLFmgy8LVVyfuCAEEzitA4GViIIDAkBMwexSYABwVZ5a7htRYaqu5IqTe1qExFLOMIWNhkyq2dyh7bII6mnsV5YtV3phkJXesl6p3ffADsXxSepGUM0UaMSb8FNesM+FAAAEEhqAAgXcIFo1bRgCBdz397ZOskBQISCeO2M4T4JajV+/T3/iRlnKXturo1j5lToxSZ6Otzt4W5eSla1T0Xqlyy5UvsVmSkJIrpZgnuZOlhHTJrCnx+q78vfCNCCCAwCALEHgHGZTLIYDABytgtjK2/eHfuPd1hNReG1LLMdP9wVZX0wd7b6e+PW6kpezFjarbFaOUcT3qa4qVonuVEJ+g/MQ9UvnGy3+jsanhcGs2gzAtxGKSwgumzUtnBo8DAQQQcJEAgddFxWQoCCBwAQE7/LDS/Ea+u1lOCG6tttXZEFJnw5VXixvh0eTbA9ryUo2uWZajkp11ikkJKNaXrIl5x6SSNwb3psz2vfEjpJGjwwE3MUOybcn0yzUBlwMBBBBwuQCB1+UFZngIIHB+AfPym1kLbFrF9rSE1HZcajlmy98dfjLc2yEFey+Pnnm4Ou62Hr3xq/2ac3OhinfUafI1o1Vf06xrJ3fJOvjKwL/YrLmNTw0HW7N1b3J2+M/mya3pe6aTiX/gV+YMBBBAYMgLEHiHfAkZAAIIDIqA2fUtEA7BJh6eevDp75F6TQBuDam7NaTedhOIwz8z/zY9gwd6xCRLo29t15YXqzX3IwUq+WOj8qemqKm6RzNn9Ej7nj/rklb47TzzT3T8mT87P4uWUvMls+GDLza8o5k52NVsoCXh8wgg4HIBAq/LC8zwEEBgcAVMd4iQHXJapHl8lpMxzZJX2w4pFLCcwGwHQs4SiqDpI+wP/9v5md9SoM92Pp85yaPNrxVrxoIi7d9+RPnjslVbXauZs/JkhYKSLzocYp2LmyRuXsI79Y8VfpmM3reDW1yuhgACrhUg8Lq2tAwMAQQQQAABBBBAwAgQeJkHCCCAAAIIIIAAAq4WIPC6urwMDgEEEEAAAQQQQIDAyxxAAAEEEEAAAQQQcLUAgdfV5WVwCCCAAAIIIIAAAgRe5gACCCCAAAIIIICAqwUIvK4uL4NDAAEEEEAAAQQQIPAyBxBAAAEEEEAAAQRcLUDgdXV5GRwCCCCAAAIIIIAAgZc5gAACCCCAAAIIIOBqAQKvq8vL4BBAAAEEEEAAAQQIvMwBBBBAAAEEEEAAAVcLEHhdXV4GhwACCCCAAAIIIEDgZQ4ggAACCCCAAAIIuFqAwOvq8jI4BBBAAAEEEEAAAQIvcwABBBBAAAEEEEDA1QIEXleXl8EhgAACCCCAAAIIEHiZAwgggAACCCCAAAKuFiDwurq8DA4BBBBAAAEEEECAwMscQAABBBBAAAEEEHC1AIHX1eVlcAgggAACCCCAAAIEXuYAAggggAACCCCAgKsFCLyuLi+DQwABBBBAAAEEECDwMgcQQAABBBBAAAEEXC1A4HV1eRkcAggggAACCCCAAIGXOYAAAggggAACCCDgagECr6vLy+AQQAABBBBAAAEECLzMAQQQQAABBBBAAAFXCxB4XV1eBocAAggggAACCCBA4GUOIIAAAggggAACCLhagMDr6vIyOAQQQAABBBBAAAECL3MAAQQQQAABBBBAwNUCBF5Xl5fBIYAAAggggAACCBB4mQMIIIAAAggggAACrhYg8Lq6vAwOAQQQQAABBBBAgMDLHEAAAQQQQAABBBBwtQCB19XlZXAIIIAAAggggAACBF7mAAIIIIAAAggggICrBQi8ri4vg0MAAQQQQAABBBAg8DIHEEAAAQQQQAABBFwtQOB1dXkZHAIIIIAAAggggACBlzmAAAIIIIAAAggg4GoBAq+ry8vgEEAAAQQQQAABBAi8zAEEEEAAAQQQQAABVwsQeF1dXgaHAAIIIIAAAgggQOBlDiCAAAIIIIAAAgi4WoDA6+ryMjgEEEAAAQQQQAABAi9zAAEEEEAAAQQQQMDVAgReV5eXwSGAAAIIIIAAAggQeJkDCCCAAAIIIIAAAq4WIPC6urwMDgEEEEAAAQQQQIDAyxxAAAEEEEAAAQQQcLUAgdfV5WVwCCCAAAIIIIAAAgRe5gACCCCAAAIIIICAqwUIvK4uL4NDAAEEEEAAAQQQIPAyBxBAAAEEEEAAAQRcLUDgdXV5GRwCCCCAAAIIIIAAgZc5gAACCCCAAAIIIOBqAQKvq8vL4BBAAAEEEEAAAQQIvMwBBBBAAAEEEEAAAVcLEHhdXV4GhwACCCCAAAIIIEDgZQ4ggAACCCCAAAIIuFqAwOvq8jI4BBBAAAEEEEAAAQIvcwABBBBAAAEEEEDA1QIEXleXl8EhgAACCCCAAAIIEHiZAwgggAACCCCAAAKuFiDwurq8DA4BBBBAAAEEEECAwMscQAABBBBAAAEEEHC1AIHX1eVlcAgggAACCCCAAAIEXuYAAggggAACCCCAgKsFCLyuLi+DQwABBBBAAAEEECDwMgcQQAABBBBAAAEEXC1A4HV1eRkcAggggAACCCCAAIGXOYAAAggggAACCCDgagECr6vLy+AQQAABBBBAAAEECLzMAQQQQAABBBBAAAFXCxB4XV1eBocAAggggAACCCBA4GUOIIAAAggggAACCLhagMDr6vIyOAQQQAABBBBAAAECL3MAAQQQQAABBBBAwNUC/w8PD2uinJn0uAAAAABJRU5ErkJggg==" + "image/png": 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" }, "metadata": {}, "output_type": "display_data" @@ -1496,7 +1497,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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UAl5+nlgQzxhjjDHGGFNcVnn/NsnjdlfibiKfKtzTMcYYk42rgSuAK1V1bREeZwTuQ5pmwGPA2HgriUhjXEb2iUBToDZwXU5jWfgO6BHzvBfwTczzWUDHmOedgMXAsd7x6gCNgC9zurjCZEE8Y4wxxhhjTHFZAyjQOLcbiEgAuAuYoKrriurEjDHGpPOy4YYBT6rq9CI8Ti3gGGCit+gtoL6INI2zendgqqr+6ZVkeAm4LBdj8YwDrvLOwQdcAoRjxtOCeCKSgPu9NYr0wF5HYL6q7srttRYGC+IZY4wxxhhjioWqJgFryUMQD3dj1gSXnWGMMaaIiUgl4A1gCXBPER+uPrA+OlXXC8CtARrEWbcB8FvM89Ux62U3Fs9a4E8RaQ+cjqv7tyVm/CugrojUx2XfLQBm4zLy8P79NNsrKwLWndYYY4wxxhhTnH4ll9NpvXpMA4E3VXVFkZ6VMcaYqGHAgcCZqppc0J1JogSArsB0HVTw/RWi0UBvoAYwEjgoOqCqSSLyJS7jrjEwW1V/EZF6Xl28jt62xcoy8YwxxhhjjDHF6Vdyn4l3JnAU8L+iOx1jjDFRInIl0BO4WlV/y2H1nPeXKIcGfcH5wJSgL7hAEuXwTKusBep4pROiH940wGXjZbYGaBjzvFHMetmNZeUdoAvu98wnccZn4TLuOuGy8ADmAxfhAn5f5bD/QmdBPGOMMcYYY0xxWkXuG1vcDXygqouK8HyMMcYAInIY8AIwVFXfLdC+EsUniXKzT3zfHbb/YUe9e+m7NK/V/Eif+JZIogyQRPEBqOoG4FtcAw2AC4F1qroyzm7fAs4RkQO9YN8NwKu5GIvLq2d3K9BfVSNxVpkFnAo0VNXl3rLPgPuBL70SEcXKgnjGGGOMMcaY4vQr0EBE/NmtJCInAicAjxTLWRljzD5MRCoArwM/4JoJ5X9fidIo4AvM9onvmftPuj/hm+u+CZxz6DksuGZBYPDJg4N+8T8Z8AXmSKJEP9C5HrheRFbgSihcHXNeL4vIOQCqugoYhOsIuxLYiOtsm+1YdlT1bVWdmcXwQtxU2wUxyz4DDqEE6uEBiKsZaIwxxhhjjDFFT0Q64G6yGqpqllOdROR9oBpwgtpNizHGFCkRGQlcDLRW1V/ztY9EEaCXX/zPBccFK5TbUk5u6X8LgwcPzrDeW3Peonun7vh6+JIijSM3AaN0kL3P54Zl4hljjDHGGGOKh0jrf6DfGmAXLEJkCiJdYsYDiFQWkVa4enj/swCeMcYULRG5DLgW6JXfAJ6nFjDqwsMvrPjdR9/J0KeHxl3p1edf5ZTOp9CpSacEXLZc3QIcc59iQTxjjDHGGGNM0RMJAQuqwWX1gXJQEzgPmInIGESmADuBf/+CL5+Av/4soelKxhiz1xNXk05EmuE6sw5T1bcLsksdpH8FfcEvUzU1ckiTQ+Ku8+GHH3LYYYdR76B6RCKRSNAXnK+D9PeCHHdfYkE8Y4wxxhhjTNES2R94GQhksUZPXEAvAFALKt4OtWvDp4hULpZzNMaYvZ3IqYhMQyQJSEkVWXATfCywAri9MA6RHEme8N6K99i2e9seY6mpqTz22GPceeedpERS+GLNFyRHkicUxnH3FRbEM8YYY4wxxhS1nkAFAAX+oA6zOZmZdGEWHfmdumQxZ7Y90Le4TtLsHURkPxFZHPNYISIpIlLTG68lIjNF5GcR+V5ETspmX3eJyA/efuaLSLs46ySKiHrTwOPt4yzvON9LzPRxEeklIvcUwiUbk0YEEaGRCJ1FOEOEk0SohUhf4EPgbCAIiB/aPgf1N8BqhQJ3WhURPy+zOTklWab+NHWP8VGjRtG9e3eqVKnC2q1rSY4kA7xZ0OPuS7L6JMwYY4wxxhhjCkUK/vpzOIlX5Bo+8p/JxpQae6yzX+AfTk39gN76MqfwCb70sF5v4LHiPF9Ttqnq30Cr6HMRuR04WVU3e4seBear6hki0haYIiKNVTU5dj9eUK4P0FxVt4vIFcAwoF3MOu2AtsBv2ZzSEOAs7//fBj4QkdpAD+C0fF+oMR4RAsBZfj/XBAJ0TkmhUuZ16gY3clbyu/TmZY5lPhIztj9cAJwBzMjf8eVQ3Ic1PVjHQb51vn8mfjex6qVcmiFxbMmSJaxcuZJ3332XrxZ8BQG2s5GaDGJDfo67L7LutMYYY4wxxpgiI0LbusEN7/6RXKtO21ZJXHx5AkcfDYcfDhUrwo4dsHw5fPstvBFOZv43QVoEfmBESm+OYz7AFlRrlvR1mLJLRH4E7lbVd7zn24Gmqvqn93wBcI+qfpxpu6NwQY3WqvqXiPQDOqvqBd54RWA2cCHwOXCeqi6Oc/x5wNWAAK+oagcRCQNDVXVBEVyy2YeIcFowyKjkZBqeeCIpF11EoHVraNYMypeH7dth2TJYuBAmj0/i+58SOME/jxGpvTmCH2N39Q6q5+f+uFId1822J3Ac8DswHhjHYNrKFJnQLKkZSbuSaNKkCR9/nP7jtWXnFvbrsB+6nz6mH+vAQngZ9hkWxDPGGGOMMcYUOhEEl4F07/HHa+rzz0ugdeuct1u6FG69KYVPP/NxB0/wCPfM9mtqp6I+X7N3EpEOuOy3eqqaIiL7AX+oarmYdV4HZqrq6Djb3wEkApuB3cBJqq4Iv4gMA75R1TEispqsg3gnAk96T2/FNXU5RVVvLbwrNfsaERJ8PoZHIlxz7rlEnngC3yHxe0mkUYW5c6H/jcksXSY8Hrmdm3k2mpW3EDgO1dSsjyl+4BRc4O58XGB6CjAG+ES9bSVRqvjEt+mIA47w1yhfI5J5P//s+se3bOMyjWhkfx2kW/Nx+fssC+IZY4wxxhhjCpUIPhFG+Hz0fu455MYbQSTn7aJUYfRouPH6VBpHVs1aoYecpkqWN5bGZEVEXgH+VtU7vee5DuKJSGMgDFyoqn94mXiXquoJInIa0F9Vu3nrriaLIF6mfVYB3sdNXbwWOB74CxigqgWuSWb2DSKUCwSYEghw+sSJ+C+8MG/bp6TAY4/BfffBPTzMQ9wXDeRtAMYBD6L6b/rx5FDgKuBK4CBgPjAWeE1V/4l7jolyC3BoNqfxsw7Sp/N25saCeMYYY4wxxphCJcJtPh9PTJmCnHNO/vczcyZ07UokNZUHVHm48M7Q7AvEdTZeD7RV1eUxy/8DDs7FdNrbgWaqep33vBKwHSiHy867EojW0auHC4Bcr6rvZXNOzwPTgZ+Bl1W1k4gkAqtVdUwhXLbZB/h8PFe+PH0+/RT/scfmfz9jxkCvXjCBK7iCSbFDiwdBtyGulmNP3HTZP/Cmy8b+PJniZd1pjTHGGGOMMYVGhKN8Ph578MGCBfAAzjgDHn8cnwhDRNijK6gxObgEWBIn4PAGcAOA19jiIOCzONuvAo73goEAXYEVqpqkqner6kGq2khVGwHrgLNyCOAdC1RT1ZlAJUjr3hIBKme1nTGxRDhDlZtGjSpYAA/g6quh/01KH/8IVtMwdqhVCvwKPIdr2nIG0MD7vrcAXgmyTDxjjDHGGGNMoQkGmd6yJacvWEDA7y/4/iIROOEEUr/+ms+SkuX07Oo1GRNLROYCozJnuHmdYScAjYEkoJ+qzvLGhuCm274kIgI8gqv9tRv4D7hJVb+Jc6zVZDOdVkSCwMdAd1Xd6C17GTgW2AScr6pbCnzRZq82Wzr6Tw/O/u7sszlsypTCScratQuOPDSJTmvGM4pr05ZvgQ014TD7vixdLBPPGGOMMcYYUyhEOCQlhTPvuSc9gDdw4EBatGhB1apVqVOnDpdddhlr167NsN0111xD8+bNCQQCXHHFFRnGfD649178ycl0/p7mKYh8j8gtiARydVJhqUBY+hCWBYSlQ6FcqCkTVLVDvCmqqvqXqp6uqoeoavNoAM8be0BVX/L+X73Mo8NU9Shvf3sE8Lx1G2VXD09Vk1X15GgAz1t2jaoeqaodLVBisiRSAZF7EFkZwZeSnMwR996bHsvJzXusqvLkk0/SrFkzKlWqRN26dXnssccA18H2toEJTPBdyUb2T9umBvjt+7L0sSCeMcYYY4wxprCcW6MGKeedl75ARBg7diybNm3ixx9/RETo1q1bho1atmzJ008/zTlZzL8980w4qFYS73AeQHPgGWAaIglZnklYqhOWe4DfgeeBY4BTC3BtxhhTvNxU7lnAw8DBUzifVkckccwxsavk/B7bv39/wuEwr7/+Ov/++y8//PADZ511Vtr4lVeC+vzM5IzYzeIGrE3Jsum0xhhjjDHGmELh9/PmmWdy/rRpWScLLF68mNatW7N582Zq1KiRYaxnz56kpKQwceLEPba76MIIu96ZwXuRrrGLr0d1ZIYVw1IXuAXoi2tAEJ3Uuxt4hJAOyfuVGWNMCRC5H0h7z2oX/JZ217Vm2LCsN8n8Hvvzzz9z6KGHsmTJElq0aJHldu1bJ9F28UiGcVN00emoflQ4F2IKS+5S0I0xxhhjjDEmB8EgLVq2zH62z4cffkjDhg33CODlpGUrH+OnHekqmEUlcBNh+dJ7VgO4GVe/TNnzXscHHEBYmufpwMYYU1L83IhXBXR3AvwgzeiddRwO2PM99pNPPqFy5cpMnz6ds88+m+TkZDp06MBTTz1Fo0aN0rZrcXQCy5ceCamkArdaAK90siCeMcaYMkNEygOvAkcAO4ENwI2qujLTep2Bj4DbVHVoFvu6CrgdSMXd7N2rqu97Y4cA44D9ga1AT1VdFmcfPYExwABVfSZm+WfASbgbynOBHqp6qjdWD1gLXK2qY71lA4Hmqtojzy+KMcaULgnly2c9+PHHH5OYmMhbb72V5x2XLw9JZJo9W4Ujge9zuYsg0M97GGNM6ecDUmHozfDQfbCzfoC8vsdu2rSJf//9l4ULF7J48WL8fj99+/alW7duac/Bvcf+5mu8jlQ6oLo2q2OYkmVBPGOMMWXNSGCGqqqI9ANeBjpGB0WkGvAo8H5WOxCRmrj6SM1U9U8ROQF4G6jlrTICGKmqY0WkOzAWaJvF7hYBV+HqMyEiTYEKMeOzgBdEJEFVk4BOwFfeOY/11umEC04aY0xZ9++WLMqgT5s2jSuuuIKJEydyxhlnxF8pG1u2QBX+zbhwJ3OAPt4zH9AZuAE4DPchTWx/3GTc+/tLeT64McaUBOG1pwbQ/Pan3NNA5Z1s2VIu7qpZvcdWrVoVgIceeoiaNWsC8MQTT1C3bl1WrFjB4YcfDrj32F8jDZdZAK90syCeMcaYMkNVd5ExODcfl00XaxjwEHBBNrvyAQJUAf4EqgPrAESkFq74+eneum8Bw0SkaeaMP88aoJKItFXVhUAvXHZeW++c14jIn0A74Atc8O4xXKAREQkCxwPXZ3/1xhhTyonU7ciMct9+dQou6S3dpEmT6NOnD6+//jpdunTJ1+6/np9Cq6QFGRfu4EFCGTKllxKW53Afjtzn/ZuCu+9RYGOm9Y0xptT6/Q55asgDjI4+11bf8vU3HcncozS799g2bdoArgFGdubPJyk11ZpZlHbWndYYY0xZdjPwbvSJlzUXUdWp2W2kqptwmRrfishvwGigpzdcH1ivqineuooL1DXIZpdjgF4i4gcuBiZnGp+Fu5EEOAE31XeDiDTGBfs2qOrqbK/UGGNKM1cqYH533my28Bth69b0oWHDhtGvXz+mTZuWZQAvKSmJXbt2kZqaSiQSYdeuXezevTtt/L//YP5XcCzzYzebhurHe+wspEpIPyWknXEfykzFBfCy7mRrjDGlUL3f+WNbtfTnqcd+ycezU0hJSV+W03vs8ccfT5s2bXjggQfYunUr27dvZ+DAgRx11FE0a9YMgHXrYNUqEiDjm6wpfSyIZ4wxpkwSkXuApsDd3vMDcVkXN+di22reeu1UtSHQG5giIvm9wXsbOBNXTP0rVf0n0/gsoKOINAA2q+p24DNcVl5Hb9wYY8qy+4H63XkTX2oyo0enD9x0001s376dM888k8qVK6c9Pv/887R1Tj/9dCpUqMDEiROZPHkyFSpU4NBDD00bHzcOknZFuITXYo9ZJcezCuk3hPRC3PTaB3DTaY0xpkw44h9qZ1hw5Xj++j3Au++mL8rpPVZEeO+990hNTaV+/fo0adKEHTt2MHXq1LR6eMOGQTDIJuCD4ro2kz/iEgyMMcaY0kdErgQGeE+fVdUx3vLbgUuBU6MBMxE5G5dRt9Nbf39cD8MXVfXeTPvtDlynqqfHLNsIdMA1slgJ1FTVFHFzD9YDJ8RpoNETOE9VzxORF4HuwKWq+omIKFBDVf8RkbrePm8BmqjqQBE5DegB1AHGquqkAr5cxhQbEXkOOAdoCLRW1cUxY+WAp4AuwC5giapeEWcfjXB1IVsDv6pqq0zjvYGBuA+dPwX6qGpynP3Mxv3s1lPVDd6yJrifuanez+cs4BVVneiN34cL+lf3pukjIsuBvqr6Sb5elH2Ze5/8D68eaH+e5c39b2Tp8iD77Vfw3W/dCi0PT+L09eMZxbWxQ5+jelLBj2CMMaVIWA7ElYW5aFuAkxqch29rzMfMvnPf45BVXVjydZBy8cvj5cmaNXDEEaT89x+JqjxU8D2aomSZeMYYY0otVR2vqq28RzSANwC4DDgtNuNNVaeram1VbaSqjYA3gSGZA3ieVUArL3sPETkOVy9prRcE+BaIBh0uBNZlUQ8v1tO4WnefxrmOP3AdaW8HZnuL5wInAsdhmXim7HkTNzX8tzhjj+KmLjZT1RbsWbcyahsukBbKPOBNNX8Q9zPSFKgNXJfN+XyHC4pH9YIMdX1mEdMABze9fTFwrHe8OkAj4MtsjmGyFiSmoc8gEpF/NnNd71QKmi+gCn1uSGXXxn95mHsyjD3C3Q1FuEQkUwE+Y4wpa8JSh7D0JSyzgT+AJ4CNVVO4dKef9bGrRp6+mZWrkxl4d8ETslJTIRQiJSmJ1bi/ZU0pZ0E8Y4wxZYa4mktP4RpRzBKRxSLyVS63vUFEhgCo6rfAw8CnIrIE1wzj4mhGDq7JxPUisgKXCXR1TvtX1Z9V9UnNOsV9FtAY19wCVf0P11RjnRfkM6bMUNU5qrou83IRqYSbnn5v9GdBVf/MYh+bVfULXAZXZt1xWXR/evt5CRe8z8o4XJdoRMQHXAKEY8bTgnjetPnGwCjSA3sdgfkx7wEmL1STCPBD9Ol+bGZ8Soh3pgoDblUikfzuFu6+Gya/KoxJ6UEtNqaN7aLchme5eQnu67xKhE9EGCnCCBHGiDBJhDdFmCbCRyLMFuGgAl6pMcYUnrDUJSw3EZY5wO+4D4P/xNVXPoCQXgysfOUrkgEk+l568CpSh9/A0GeEp57K/+GTk+Gqq4jMm4cmJ3OxKjsKdD2mWFh3WmOMMWWGFzTIvrVW+ro9Mz1/KdPzZ4Fns9j2J1yGXE7HGIubDhhvTDI9vwHXTCN22Z7HCMtFiP8VNPVaQvraHuPGlG4HA5uBe0TkVNz09sH5mKLagIxZfqvJvrnMWuBPEWkP1AC+BrbEjH8F1BWR+rgA3gJcVuxoYDAuM2+PLFqTC2EpBwzgWg7mxfTFp/ApkzREj+cmsnqV8MIIP3Xq5H63GzbATX1TeestGEMvzmJG7PDc8uzu8ZfWXiVCYyARl4nZGYje5gp7/r7oALyRxys0xpjCE5aDcLM8LgKOB3YA7+E+vJpJSHd46/kJy91A4hWr+eqR5rzUYC73X/syFbbUgIN/mcC37M/ttz/NT8sjPPGkj2rVsjhmHL/+Cr16kfr556REIpyryqJCvlJTRCyIZ4wxxpQWYamKBIYTqFiFlJ3DCMtMQro15w2NKTUCuDp5P3i1H1sDH4lIc1X9q4iPPRqXBVgDGAnpWVeqmiQiX+Iy7hoDs1X1FxGpJyLlveW9i/j89j5hOQN4DqjHCTzEywRI5n682T6X8hq19S+unjGBww85kLvvD9CzJ9SunfUuN21yTSweTkym0s5NvK9XcTofRYe3AieiujS6QJVfgStF+BvXsCjeTCPFBYLfLuglG2NMnoWlHi5IdxHuw4TtuK7ZTwEfENKdmdY/GBgPtMWVnXjqh2qauvxW+eKwn5gTXa0Tz9CQNdw4dhTvvVOZ+xODhEJQvXrWp7J2LYwaBU8+lgoaWZuaGrxIla8L9XpNkbIgnjHGGFN6DMFfsQanfwUfHlud5G0PAv1L+qTMvi2rBjNZWIPLhJoEoKqLRORXoAWQlyDeGlxWX1Qjb1l23sFNRdoNfAJcmWl8Fi7jrjFwo7dsPu6m6iBctp7JjbA0Bp4BzsUFxk4jpL8RAkRG4177g4HNnZh98rKUQ49+MOV+Hrm3H/fdW5GOJ0U4ul2Aww+HihVh50748Uf4dmEKs2YL5djNdakvMpjBVGF77JEXxAbwMrkNaAKcxZ73OAIMUSW18F4EY4zJRljqkx64Ow74Fxe4exwXuNuzfENYBLgG9/66CmhLSJdEhw97gLn0ZT3/kJbX3J236JQyi3s3PcItt/Tk1tsCdD4Fjmnt59BDISEB/vsPli2Dr+cnM2dugJr+rdyT8iT9GPZcdf3HAnhljHWnNcYYY0qDsLQB+frBBefIjAUb8Cdv4sEzftaOh9OWkH6T8w6MKX4ishrXoXlxzLIPgaGq+r7XoGIhcJSq/p7FPjp667eKWdYEVz+yDS749y7woaoOi7P9bG/7d0TkAmCHqs6M7R7trXcc8BqQoqpNvGXX4RpvrI7tVm2yEJYKwJ24WqG/Af0J6YfZbuM6A3cE2EEF3qQ7H3EaixPasSKlCUmRIEFJ5pDgalolLeBUPuYi3qBy3FKJnIXqjHgD7lBUAuYBh7NnIG8jrrbiC6rErdNojDEFEpaGpAfu2uMaOL2Lm8b/UdzAXfq2tYGXgbOBJ4H7CenumHGXnfczbXmICCns0Zf22seq8XKVy2B2JxpPb8vaHfVJ0QDlfEkcHviZo5IWcjbTOYeplCMJ4A5UnyysyzfFw4J4xhhjTEkLix8JLly0uVmLO985MPDhhx/xz5bNnNKuAQsTkxb7JeUYQmoZJKbUEJERuBuNA4G/gX9Vtak31gR4Bdgfl5U3RFXf8sZexjWsmCoiFYEVQDmgGrABmKCqd3vrXosLFoGrX3eDqibHOZfZeEG8TMt7kjGIF8DVyZuuqpd6yw4FlgN3q+qjBX1d9louO6QbMBSoBQwBhhLSpBy3FbkDl3kSVwTBR/b3IxGEt7jwvYv0jXPSd0tL4EdVMnxPiFAP12G8JuDHTaXt7533jbjvtcnAM6oszvH8jTEmO2FpRHrgrh1u2n9s4G531hun7eM8XLOl/4CrCOlnMWOx2Xm/AD24nCTcByoXA5Wiq468Fq4f6f5/eB/o82KO77GtifkQzpQNFsQzxhhjSlpYbgTf8Nd3PSrfrvibRx91sYT2x7RkfGiZHnpg5CZCOryEz9KYvV9YArju138Tsj+SAQhLU1zduzOBV4E7CO3ZmThLItWBpUC9PBz1a9z06UrA92cxPTiDs24ETgBW4oKJPYCxqnt2DxfhGOBLIAH4FWimSooIFYAQcCvQHPgMd2M8zabaGmNyzZUUuMh7HAP8gyvp8AbwSa4Cd24/VXFN1nriGqXdTEi3xYzHZuc9ATywx75F9sN90HXkjgrQaDVsrAUHr4TFraBy3KRmAKah2i1X52lKFQviGWOMMSUpLLWRwEoOvaXyjxV60atXL2bPns369es58sgj+Xj4+RybMPk/NLUpIbUpYMYUpbDcBzyIy4QYX9KnU6LCUgm4G7gD+BnoR0hn52tfIgcDE4Fjc7H2CqATqn+kb44fmAEchcuuq4abLrtUlZbxD0l33M3v9aq8lmlMgFNwwbyzcNktzwFjVPk3bxdnjNknhKUJ6YG7o3GZ3e+QHrjLOTM54/5OwjWvqARcR0inZBo/H9ekaTvud9KcPfYRJVKD6oxkF90XtICu01wg7/gvYPJlUH/Pj12mAFehau93ZVC87k3GGGOMKTa+pyl3QDlaDOLwww/n6quv5rTTTuPuu++mdevWHHTSfVC+djnEP7Skz9SYvVpYDkZ891OpIUhgKGGpWdKnVCLCIoTlQuBH3DTUgUDrfAfwAFR/QfU4ruRmegMVuQE4BOj7M003bOCA3cAiXMCwXWwAz1MT2IGbErsf6fXuDhGJfz+jypuqVM8cwPPGVJWPVTkbOAz4EPgfsE6Ep0RolO9rNWWWiBwiInNFZIWILBSR5tms21tEfhaRX0RklIgEczOWaR+zRSRJRGrFLGsiIhERecd7PktErogZv09EdnldtaPLlovIKQW8fBNPWJoSlrsJy7e4YP+dwGLgDKA2Ie1FSGfkKYAXlnKE5XFc9txSoEWGAF5YqhKWMbimQVOBo7IN4AGobmE4PzGcP9otptXI6zgG6CfN+Kv71/x+16OM/6Muj3EJ/3I3T6J6gQXwyi7LxDPGGGNKSlhOBmZT50yofXKGobXr/+GGIVOY/uLVsGEO/PE+QGdCOqskTtWYvVpYBAl8QOUmHTnt8+CMBw9O7Ttq+5ZfN7IeFzy6XjW9QyCAiHQGPgJuU9Wh8XYrIu1xmRQVgHVAD1X9XUQqAZ8C0Rvx9biaf6vj7KMXrvnGbqC3qn7rLR8CLFfVcEEvP01YDsdlpJ0KTADuLNQM4LDchJsOdkB0kQgzgA2qXBVvExEuxNWKqsKezSoAGqrm2Lk4RyLUBK4FbgLq4DJVhgJfquZQtM/sFUTkU2C8qo4Vke7AXaraNs56jXHTtWMb73ygqsOzG4uzn9lAZWCyqj7lLXsI6AL8rqrnicgDQANVvcYb/wSXuTVQVWeLSB3clPHqqtk0TTC5F5ZDSM+4a4Wr+zoFl3E3i9CetVnzsO+WuKzkJrhM4JczlG5Iz86rCFxLSN/N5X4FlzH9LiG9LWb5x8AqQnqd9/xtwE9Iz833NZgSF+8XoTHGGGOKx1p8CWv461M/f30KwCkPJe2flAKVyok/8SK/L7Jk0F8+IYIvIUIkaW0Jn68xexUv02ZE7Wrs17R2ymHPPDeA6mu30u2xHf6KQfY/7Uhe+uh7PgQmAUfGbFcNeBR4P5t9+7ztrlXVWSJyOy4odBGwEzhVvUwIEbkVVxcp3o3V/d6xjwbuAbp7591SVR8o6GsAQFiqeMe5FVgGnEhIvyiUfWfUAPYIuDXA1cDLymCgRjbjh8fZZ56pshl4TISngQtxr8XnwNciDAXeUCVv0+VMmeFlwx0DRLtUvwUME5Gmqroy0+rdcQ16/vS2fQn3szk8h7F4xuGCx0957xmXAC8A0U/2ZgFjvH0lAI2Bh3Edn2d7/863AF4BheVQ0gN3LYFNuEy4O4DPChS4c/v3A7cBD+F1bCekv8SMl/PGbgOm4QJ4f+XhCDcDB3vnHKsc7gOgqLnAnYRFrO5r2WVBPGOMMaakhHQV0DB20SeXun9FpMYH30VWAaNV9b7iPzlj9gkb+3fh0mevCn6zTM/UaxPHyVNPtaRBg4b0OD6itQJre314dyRRLqeBiLSJZsEBw3A3XBdks++jgRTVtOzZEcBDIlLeu+GOBvAEqApZZnul4jL2KgFJ3o3+M7gb/4Jx2RuXAk/iMj9uAUYQ0pQC7zu+DEE8rzZdQ7IPwl2O64Z7LpBCxvuXFNx02A8K6wS9brevAq+KcBwumDceeFyEYcBIVf4urOOZUqM+sF7Vfe+rqorIGtz3bOYgXgPgt5jnq71lOY3Fsxb408varYELaG+JGf8KqCsi9XEBvAW44N1oXIC7Ey6r1+RVWA4jPXDXAtiIC4INwAXuCud90DXBGAccBzwAPE5IU2PGo9l5jYHrgFfyFGALy8XA096zXTHLfbj3x9gA7zzgAFwm4C+YMsmCeMYYY0wppKpbRORR4AERGRb9VN8YU3hUdQNheQZ/+Zrlj7xX/P7bOOKII9i6dSvr6CiNyq2tk/g2I3BTORsB33rT7CKqOlVEsgviZbiZV9V/RWQbUBdYBSAiH5N+89gli/3ciZu2+y9wPdAHmK6qv2Wxfu6E5UhcMPJk4BXgbkK6sUD7zFlDXFAiqgYuOJnltajyHXCeCK1xTUfOJj2Y58dl4hUJVeYB80RoCPQD7gLuF2ECMFSVH4vq2GafMhrojft5GAkcFB1Q1SQR+RKXcdcYmK2qv4hIPa8uXkdvW5MbYTmC9MBdc2ADLuvyZmBOhuBawY8luK6zz+E+qGhHSBfFjMdm5y3AZeetyuMxrsJlaoq35AjgG+//ewD7A50ISy1CusEbSwY6YEG8MssaWxhjjDGl1/PAVsAy8YwpCmFpDXJzSsvHA30HPMB9991HtWrVePPNN/l4ztckTq0sf22Vq4J+VgApInIg7ufx5sI4vKqeiqu/9hpwbxbrvK2qbVT1ZOA/XEbaMBF5REReE5GH83TQsFQjLENxxdkrAe0J6TXFEMCDPbOUohlKOU6HVWWRKl2BtsAn3mIhffpjkVHlN1XuAOrhgqqdgR9EmCFCFy+j0JRta4E6IhKAtAzZeNO/8ZbFZtE3ilkvu7GsvIML4h9F+vd2rFm4jLtOuCw8gPm4QNRBZAyMm8zC0pywDCYsy3DlAm4EPsO9nnUJaR9COquQA3i1cHX0RuNqeh6dKYDXGPd1fQiXnXdyPgJ4fYCxpAfwkol+qBGWysAT3nLBBQshpLtwTYSOy+slmdLDgnjGGGNMKaWqO4BE4HoRObikz8eYvUpYfEhwVGqNY1J7JM7m3HPPpUsXlwzXqVMnrr76agY/+ARPX1cvkhCgMfADbopsHWCxiKzG1b96IItAWoabeRGpAlQDMnReVdUI7iavRy7O+lncVK+OQF1VvQSoJyKdcnW9LmtjhXesPsCxhHRBLo5bcK7mUx0yBjSiQbxc1/tU5WtVzgCOxWWSNBDhmEI7z+yPvV2VYcChwDlAAjATWCbCdSJUKOpzEJHyIvKO10F1iYh8JCJNY8a/EpHF3uN7EVERaZnFvnp4+/heRD4RkQYxY+VEZJjXZXWpiEzMYh9nedt/LyJdYpb3EpF7CvPai5KqbgC+BaKdYC8E1sWphwcuc+scETnQC/bdgJuCndNYVsfehZu23d97P0gjIvvhsrmuwGVPTRWRFFxdtftx3U3niMgiEflRRO6MdwwRqSsiH4jITyLynYi8JSIHeGPZfk9l2s8x3vfWDyJyVczyziIyIrvrLDauw3YLwjKEsPwAfI+bpvopLvP4IELal5DOLtTAXfrxz8F9XdoApxDSAV7wLHpuvYDvcF232xHSR/N8HmG5nT3rLAZIr916l7d/cDGfmwlLtKHQXCyIV6bZdFpjjDGmdBuN+wR1CK42lDGmcFyqkeSjr312LUcdrNzYpjJ8dQ0A6zftgHXLIbUyD61MCXZpCW/dQl1COh2oHd2BiIwFFmfRnfYbICginby6eNcD76nqLi+jb7eqRmtfXYK7qcuSiFwC/KiqS0XkHNJr6EVwHS6zFpbWuKmzxwEvAfcT0uKu6xadIhgbxGsIbFLlv7zuTJWvRDgU+BB4TYQ2qmwthPPMzbEjwHvAeyIchcvMfB54RIQRwHDVjMHaQjYSmOHVbesHvIwL7KKq7aMreVO/B6nqHt9bInIYLlOntaquF5ErgBdx05XBNW5RoJl3nAOzOJchwFne/78NfCAitXGB4tMKdplFTxJFdFBa/bHrgbFe8HEbcHXaeiIv4xpWTFXVVSIyCNeFFlx23AiA7Mayo6qZGxJEl/8tIkfg6uRNx9XMOxmYgauNGe1sPVVEagLLRWSaqv6QaVepwIOqrmGNiDyB+/r39Maz/J7KZCDQH/f+thQYJyIVcPX5zsnpOouMm7raEvfBykW4QPsfuKDq9cCXhDIGSIvgHKrgatNdg+vu3Z+Q/hMzXgv3Op/jrXdfWnAv98cQYJD3yMy9BmFpgMsY9seMRafuDsTVxetPWKoQcs2VTNkiak1JjDHGmFJNRC7GTbdrraqLS/h0jNk7hKXh+C/8714zMrVFi/psA6hWUZLvO9+//yXPpaRu+Q+/AAdUZffi//m/qFU1tTshzRAkyhzEE5EbcBlyD3jPj8PdwJfH3VD2UNW1ItLOW+7H3Xj9Atyqqr/GO1URqQG8C5zuBQETgDdxU/V+BbqrxumeGJaauDpyN+BqLvUllNaco3iFJVqA/8Bo10URngA6q3J0fncrwoG4qcGfAxerZtkgpEiJUBv3OvfBZcC8BjyjmlafqoiOK8cAb6pqozhjM4AP4gWZvQDfdap6uve8Jq4j5wG4QvjrgXqqui2H48/DBbsEeEVVO4hIGBiqWkxZnvkgiSJAyCe+wRGN3KmDdEpJn1NuiMiPwN2q+o73fBHwjKqO95pfzAOOyamOrvf176eqHeOMZfc9NRnXpGEhrivuISLyGLBAVd8q0MXllQtoHUV6jbtDgN9x741vAPOKPHCXfi7H4wJ31YDrCembmcbPwWVc7wKuIqSz83mcmsDfuAB7vGn8irv+89kzYWsXroFLBdyHKacQUmuKUgZZEM8YY4wp5cR1o1wAbFDVs3Ja3xiTfyKyCXhAVV8o6XPJN9eVsBfwP1ym3l3A+GK7oY1/TlfhApcVo+chwmtAgirnF2TXIpyCa/5xk+oeU8yKlQjlcR1/b8VlBn2By5h6V5VCn7onIhOAzap6c6bl9YGfgAaquinOdofgAj4dVHWFiPTHTdc+Gtc4ZCpuGuipwE5gsKruUa9NRE7EdTcGd801gVNU9dZCusRCJ4lygF/8I1M19bzj6h2n89bNE5/4JkU0cpMOSsuOLXVEpAMu27FetIuuiLTCBfgFF4C9XlXH57AfP6723ruq+kyc8bjfU97Y4bif40q4DwhWA/eq6kX5v7I8cIG71qRn3DUF1pEeuJtfrO9zYUnAlT25E9cluzchXR8zXgX3898b1+W6f+YPg/JxzCtx0727AOXIOqCXWQrwJCG9m7CsBV4ipHmrqWpKBQviGWOMMWWAiJyGmzbWUVU/K+nzMWZvJSIrgPGq+lBJn0u+hKUtrlZSG9wU2sEZpnSVlLDcD1xJSA+JLhJhPjBflVsKunsRBgN3A8epUjLZhjG8ZhcdcYGtrriGHs8Bowtr2q837bMbLmi2I9PY/UALVb04m+27A7fjMnam46ZJnuw9/wa4ysvwao0LkjZXdVmUWeyvCvA+cAZwLXA88BcwQFWT8n2hhUgS5byALzD6gIoHVB5//vjgqU1O5b2f3uPqd69O2bZ729/JkeSrdJB+UNLnGY+IvAL8rap3xix7FTfNNywiTXANG7rEmU4bXV9wU+prARfGqcGX5fdUnH35cX+X9MB933THTUMeEFMqoOBc4K4NLmjXHTgYl0kWDdwtKJEPKFyH74m4DMDbgBGEYoIrYTkBF7irisvOK9xMxbBUwwUwv8e9JgfEjKbgAnv+TFvtxJWEeAX3gUrXQj0nUywsiGeMMcaUESLyMe7T7w5qv8CNKRIiMh+Yq6oDSvpc8iQs++My73rjsr/6EdqzFlqJCcvLQCNCemp0kQh/AE+q8nRBdy+CHxdoagAcXVz18XJDhENwAbKrcZmRo4HnVfkl//uU23EZf6eqZgzSeoGaX4AbVXMXkPJq3q3GZdJVxAXfElRdwX0RWYibxvlxNvt4HhcM/Bl4WVU7iUgisFpVx+TtCguXJEp1n/iei7wS6VFuSzlu6X8Ljz70aNr44IcH8/y459m8azN05HUOprcO0u0leMoZiEhl3BTntqq63Fu2P/C7qpaLWe8N4ENVHZXFfp7HBXzOyxxYze57Kot93YbrmD0eV6uvJS6g10hV49Vsyz0XuDsGF7TrDjTBBcJjA3cl83eQy3S+Bfd+uwjoQUh/jhmPZufdhatd2JtQ9tOb83ke3XAZsw1xzYHa4LqXV8M13SmHe8+Zi5uCWx5YhevOewuu0/r+JfY6mnyzxhbGGGNM2XE3blrtObjpM8aYwreZ9K5+pV9Y/LjC7Q/hah5dAUwuhTdmDYhpaiFCvG61+aZKqgiX4+rjjRLhkpKqj5eZKj8DN4lwP67o/U1AfxHeBYYCc/JyriIyALiMrIMtnXH3eR/lsJ86XlMLP/AYMNzLvtohIp/gpuu9LyKNgcbAj9ns61igmqrOFNcNN/eNV4qYJMpBAV/g66rlqu7/+LjH8a/2s3r16rTxFStW8OkHn7Jx+UaemfYMd/W/6yI5RI6VRGmjgwq3AYyIfAgciHtd/sV1pF3kjZ2B+zlOAHbgpsYu8Ta9BFiiqsu9gN5buKnPQRHprKqfekG99sBXIrIcl4W1FOipqttE5Dnc9NPzVDXJq+l5FS740wn3PXUesE5EVqpqKxEZA/wSzUz2GqBMAE7ENS45E/d9VhP3Nc//19sF7tqSnnHXCBdYfsN7fF3i72thaQiMBU7ABeoeJeSmNnvjsdl5NwCjivCcL8U17Ii+h37jPaLnUhkXxHuYkL6f6Trm4b5mzXDT7k0ZYkE8Y4wxpoxQ1YUi8hbwiNd9rtDrKxlj2ALUKOmTyJWwdMBNnT0SFwx6kFD2jQhKUANcRkhUPe/f3wrrAKqs9wJ5H+JuoF8srH0XBlX+AZ4UYSiu8PwtuO6li7xlr6myO7t9iEg94ClcRs0sl3TH7tiutLhszDFxpkpmaLwCjBaRhriMnenAPTGr3wC84jUtiOACSr9ncU5BXBCwu7tO/U5EVonI97hmGQWqeVgINgIVBxw7IND7pN6MHTs2w+CsWbPo1q0bPp+P2865jf/1/59sTdmagI+iqI93cTTwKiLn4wJCR3nNayYBJ6nqMq/W4CTczza4r2k0uy4Z93pvxmXdPiEiASAIvADcgZve2hFXG/N+EXkHFzxejgvygXuf+8ZbfjXue+pLwIcLQgHMAq7EBRfBBfu+wnVjvgwXKDwW1812KbAdF3DMHRe4a096xl1DXLOe13GBu29KPHAH0fPsgbvuP4BjCWlswMyHmzr/CO41PYqQrizC86mIy7obmM1a0QzNeO8pi7zlx2FBvDLHgnjGGGNM2XIvsAz3x+TYkj0VY/ZKm3EBp9IrLLVxN/FX4QrUtySkWWZJlTh3A9yAjAG76GtcKJl4Uap8LMJDwFAR5quyqDD3XxhUScHLLhKhHe7mfzTwmAgvAC+psjH+trqOHIrYq2ooi+UvZXp+Zjb7WIUL2OTI64x8cqZl1+Rm2+KggzRJEuXV8Pfhq+896d5g5vG///6bWrVquXVV+Zd/NWVTyts6vPDrrGXKnKxGesbiwbh6d8u89T4XkQYi0kZVv1XVDjH72A18KiKNgBRVTevuLCIXAYu8KbfLRWQObnrtHWT6vvEy8Vbg6heWV9XdIvIlbpro9d5qs4AXRSTBm357Aq6Jw/leVuBxwCZVvSXXL4ILeLUnPeOuPm7692Tcz8WiUhG4i3KlCkYAF+DqWg4kpDtjxhviOvYeDwwCHs+QnVc0zsZ1mX0zm3XKe//u2mMkpLsJyzdAB+xvyTLHgnjGGGNMGaKqP3nTW4aIyKuquucfZ8aYgii902nDEgD6AkOArbib4LdK1Q1vfPvjbjhjA3YNcJkgcYNVBZSIm+73hghtVCmt2YmosgC4TIQ7cF/bW4F7RZgIDFXl+xI9wb3H5B82/nDdDxv37Pew3377sWWLS7r76vevSNqRJAQZV1QnIiLjSQ+QRjvO/wzsJyIdVHWuiJwDVMFNKc1Lo5bMwfLVQB0RCUQ72mayAzcd9jwRWYIL9KV9IKCqa0VkPdBeRH7DvT9+CDzhrdIJ+DTHs3KBu+NIz7irB6zETT19A1hcKt/HwnIWLsCeApxGKKYmZMbsvN+B9oS0uJrqXArMyqHWXnaZeOC6U3cp1LMyxcJX0idgjDHGmDxLxHUhu7GkT8SYvVDpDOKF5WTcFKjHcV1nDyekb5bKG989xcu6awisUaUIsp1IBS7HdYUc6XWKLdVUWafK3bispFtwGU9LRfhIhLNE7L6tgD4P+oKbXv3+1T0GOnbsyPTp01FVXpz5IpIgu6nBwqI6EVW9UlXr4xoLPOYt24oLbv1PRL4BTgd+wAWPitpo3HTd3kC8BiSzcFNzOwKfqepOYINXK7GjN76nsPgIywmE5Vncz/4XuKDlOKAV0IyQ3kNIS1fmHbh6cmF5CTfN/BOgRaYA3v64LLhxuNfv6GIL4IWlKi4Tb89v5oxyCuLNBZp7XW5NGWKZeMYYY0wZo6rrAiLPnwGDd4m0LQ/VcZ3JxqP6ZQmfnjFl3WaghohIqegCHZaDcFkvlwEzgQsydEIsGxp6/66NWZah0UVhU+UPEa7AvWazgZey36J0UOU/4CURRuKyZG7FBRJ+EuFZYLy3jskDHaSpkigTn77z6f4NdzT07dy5ky+++IKPP/6YQw89lDPPPJPjTziehb8vVD1Bx+qggv/si8iVQLTL9bOZO/Sq6jgReUlE9lPVv1V1Fl5ATETKAX/iAnl5sQbXcCKqEbA+iyy86HnMF5G6wOHAEbiGGbFm4Rqy/Aa85i37DBdoPB5XT89xjXaOx2UJX4hrXvMTLjj4BrC01AXsMgvLcbjmHTWBSwnpa5nGzwZewdUmPJWQflLMZ3gurhbh2zmsF51Om10mngDtyKEJjildLIhnjDHGlDUilf6DtuVclsllMSPXITIBuBpremFMfm3BZTBUwE01KxlhSQBuBh7ANQc4D5ha6m+A42sA/EUow/T/Ig3iAajyoQgPk14fb3FRHq8weRmKM4AZIhyJ+154BnjYC/ANV80QFDU5m/xf1/9uuaXrLdSvVh+AmStnAnDUhUdR/uTyzPtgnuCaxOSey8o6HphJSNMCJqo6HhgffS4i1YGKqvqH9/w84G/cBwdp3YK91e8HPlXNc3OEmcBwETnMq4vXh5wztsB9f+2vqv96TS9izcI1rmiEa4IBLog3DPhdJ/GnlykcDdwdiJuSOwoXuFtWJt633HvuA8DdwMfAyYRimrm4bq9PAdfhpgHfRChud+iidinwASHdnMN60Uy8+GVXQrqesPyGq4tnQbwyxIJ4xhhjTNnzTDk3hWUPEaTHQtr+cawwFjcN53dVdsZb1xgTV/TGqCYlFcQLy6m4OkuNgUeBxzIUUi974gXsGuI6YRa1ROAk4HURjinN9fGy4tXFu1aEe3ANB/oCt4vwBq5u3lcleoJlx8KAL/DbddOua5jVCgFfYGny/cnL87RX8Q9DUy/BBd4eymbNasAbIlIB1/F3I9A1JuN3iNeVNoDLkuqddgiRIcAf0eYkIvIdrqxGVRFZB8xS1R5eEO4a4B2vY+33uAY42VLNOptMVdeLyBrgH1XdDtC6IfMX/0aTLkexHFcPrjYua3AE8AYh16CjzAjLEbjsu8OB/sALGQKPGbPzLiGkr5fEaRKW/XAZkFfntCo5T6cF9312XEFPyxQvKQ2zBIwxxhiTSyL74f5gjv5xxp/UZjxXMjVwIUu0BdtTK8asTiQhgV927+ZjXN2Wb1SxX/7GZEFEDsNlkRylqt8V68HD0gB4GpfNMhW4lZCuKtZzKApheQuIENKLALwadTuAPqpxa3AVKhHqAotxta1CZf09UIQE4BLcVNvWuBvxocDbXudbkwVJlApMoBlrWUw1utGXzzKtkqKD8hAwD8tpwIfUORPWf5AMkcMJ6S+FetKlhWuscxIu4+4CoBYuSPgG8CYhzevU35LnGm70x31Y8h3Qg5D+FDOegOs4OxCXrdaLkMukLBFhuRbXIbc2Ic3+A4mwnA58ANTIMmMwLDcBDwI1CRV+N2ZTNCwTzxhjjClbmuEF8LZQnYE8xmjpRaWKygUXBbiivXDkkVC1KiQlwS+/4Fu0iEPeeotGK1dyYzDItyJcp8o3JXwdxpRWsZl4hcd1MgwBSwjp95nGygG3A/figvRnE9L3C/X4JasBMCfm+f64ek1FOp02KlN9vFnAyOI4blFRJQmY4HWwPRHXCONVYK0IzwMvq/JPyZ1h6aWDdKcMljOAv9nITB2Uda24rIhIc2CET+DoJnLMsNuPT63Vfqj/shuPCuzevWvhosvlZ+Ce7LLbygwXuOuIa7pxAS777ztcpvCbhDRvWYulSVjqA2OBk3GBrEcIaXLM+BG4abOH4aYRv1gKpgVfCkzPMYDnRGvixZ9O68zDZYgeDpSt7Ml9mAXxjDHGmLJlE8AHnM6VgTBUrcpLjwcIhaBChT1XPuYYuOQS+N//CM6dC3feSct581gowuPAvV4XR2NMui3evzUKeb9X4m4Y1xCW5oTctDTCchbwLHAQbireU7F1tfYSmafTRqczFksQD9Lq4/0PeE6Er1RZUlzHLipeRuEcYI4ITXAZRYOAwSKMAZ5Tpaw1QSkO3YF3smv2kIONQNfUidy87I/AsdeO3eGfc00Tvpw9Q3yfdqrx1gImdH+WJ3FZkmWPC9x1wmXcnY8Lui/BvU+9QUhXlODZFVz6ByrDgb+ADoR0Qcx4bHbeEqBVqbjmsNTBfV0uzuUW0RkbSdmsswTYiZtSa0G8MsJalRtjjDFlierPL3H9j2fL+3S+oDrLVwbp3Tt+AC+WCBx/PHz+OYGXXkICAe7w+5ksYh/oGZNGRBROfAiSPoReiJyOSMH/Xg5LbVzmCkBd4HHC0oSwTMV1Hl0MHEZIH9nrAnhhqYCbdhcbsGvg/VvcjRkGAQuAN0SoUszHLlKqrFLlFqAerjZbV1xH2/dE6OxNYd7niUhD4BjgzfzuQ1U36CQOAN+95Y8c4PcHKxIIBPAd2BEaX6X19/cnlg/yfY47Kk3CEiQsXQjLy7iuuB/iXqengWaEtBUhfbhUBLMKwtWUew2XYTcRaJ0pgNcAN232SeAR4PhSdM3dgf+A3GZplwOSs50m6zIPF2J18coU+8PdGGOMKUNEOE7kxUNv7g9PPyPs2UQuez4fXHcdHHwwvrPO4oLUVB4DbiuSkzWmLBE5GHgHOPJet6Sr91iByHmo/liAvT+P63YL7u/vG4FrgF+A0wnp3twZsL73728xyxoAf6lmO82r0KmSIsJluKDpCBEuL+v18TJTZSvwjAjPAefiptp+AnwnwlBgcnG/7qXMhcBW4NN87yEsggReSq54sPR9ZhH33XcfAD/99BO9BvwgK5ZFaj52GVUL53SLUFiCwCm4jLvzcCUEvsUFsN4klOfOuKVbWM7A1QYGOIOQfhAzJsDluI67fwLHEdKFxX6O2bsUeJeQ5rbhUnmyn0obNQ84J99nZYqdZeIZY4wxZYQIVYNBXjvtNNH8BPBinXIKvPQSfmCACKcW2kkaUxaJlMcFOo6MM9oM+ASR/GVuhaUb7iY584fnu4AT9/IAHqRn3WXOxCu2qbSxVPkd6AFchguk7pVUSVXlbVVOwmVUfYerBfibCINFqF2yZ1hiLgTeVdXsphjm5OJIakrnK8fVC5x73nl06dIFgEMPPZQv5y1g3pSHeHI65xCW0jedNiwJhOUswjIGN5V0BtASeAxoSkiPJqSP7lUBvLBUIizDcdf6OXBkpgBeNDtvAjAeaFPqAnhhaQh0wNW+zK1yZN+ZNmoecDhhKdw6sKbIWBDPGGOMKTtuLleOOuPG4S9IAC+qZ0/o1o1IMMgwm2pl9nGXk16nLZ46wNV53mtYqgKjIG62VwXg8Tzvs+xpgKu59HfMsoZkzMwrVqrMhLT6eC1L6jyKiyrfqNID97qPAvoBa0QYI8JRJXt2xUdEDsIFQt7K907CUi1CYFjvVw/hqHancuONNwKwa1d6wlO1Fr2pXLE8SPBlwuIv4GkXnAvcnU1YxuICd9OB5rifgSaEtC0hfXyv7KoblvbAIlwNvMuBSwnp5pjxM4ClwPG4rOj+ech0K04XA//gpjnnVl6CeADt83hOpoRYEM8YY4wpA0QoFwxyc9++BA48MOv1/vrrL0KhELVr16Z69eocd9xxfPbZZ1ntk8REfMnJHArFn40nIoeIyFwRWSEiC72Of1mt21tEfhaRX0RklIgEczOWaR+zRSRJRGrFLGsiIhERecd7PktErogZv09EdonL1IouWy4ipxTw8k3pctI6DmI4fbiGURwb/IYjElbSImE5Z/o+4G4e4WV6XyJC3O+tbDyJ6+YYL0geAK4mLHt7JqwL2GXs6lhimXgxHgC+Zi+sj5cVVf5Q5T7c698PaAcsFuFTEbqJ7PX3hucD28lbICSz0Pvfpuw/+cOfeX/CYE5qXkHPO7ZS5LNHGyWfeER57Xhkhch5JzfU53oGU9HkNsAJhXPqeRSWcoSlG2EZD2wApuG6rD4ENCak7QjpE4T01xI5v6LmavwlAl/i3mtaENJw2vuQy857AZed95k3Xpqzoi8F3iKUpwzS8uQmiBfSDbjSDlYXr4ywmnjGGGNM2XBycjL7eR/6Z6lPnz5s2LCB77//npo1azJ06FC6du3Kb7/9Rs2ae86UaN0a2rYlZeFCLsMVcy5OI4CRqjpWRLrjOne2zbySiDQGHgTa4LII3gWuA4ZnN5bFMb/DTaV7ynveC/gmZnwW0BFX8BpcJ7jFwLHAbBGpAzTC3RiYvYAI7Y/2f9tpUeQoKldIpXUraNsmSM2akJoKq389hPcWnswPKxM6BAP8KcII4H+K7ALOAg7BZUi8i+pGIFpf6SbgWu8wqbgPz2ODecm4btO/F8d1lqB4AbsSD+Jlqo/3ogg99rb6eFlRZQcwSoSXgdOAW4GpwEoRngXGqrK9JM+xiHQHpqlqvmsCPjWdaQkBBtzdjYYdj9j95smHs9yN7KDLfbFr7o7+54v8n24ehaU8cDpu+v45QFVgPjAEV+OupAPnxSMsh+Gmxh4JDACGZWju4LLzJuA+YAkR0sklcZq5FpZmuL9x7srjluXIXU08cNl4HfK4f1NCLIhnjDHGlA3t6tQhqWFDErJbaeXKlfTq1YsDDjgAgOuvv57bb7+dn3/+mfbt48+U6NiRwHffcXzhn3LWvGy4Y3A3HOCmNw0Tkaaqe9Ti6Q5MVdU/vW1fAu7BBeqyG4tnHC6w8pS4rqOXAC8AJ3vjs4Ax3r4SgMbAw7jA3mzv3/kFuQk0pYMIlUV4DLgxoe1ROvlWH+ee66Ncucxr+oByrF4NY8ZQ85lnuEN37bpxSvJ5nM871WNWfAGR4bzCKMrzHK5g/A+4LI9fcMXS13uPP4F/MmWn7a0aAKuiT0SIdqstsem0UaqsE6EHrtvjLOCVEj6lYuUFLT8EPhThcOBm3BTvh0QYBQxTLfmvU2EQkdrAibhpifndR33cVNQqwPH6Vimom+YCd2fgfheegzu3ubhOzG8R0uLuAF1ywuID+gBP4N572xCKaUjkGnncj/sb4VOgMyFdVwJnmleX4LIpZ+dxu9xOpwUXxHuMsPgJaWoej2OK2d6eMm2MMcVKRMqLyDve9MAlIvKRiDSNGR8TM/aliOyRdRSz7lUislREFovIIhE5K2YsV9MQRaSniKiI3Jpp+Wfe8urecT6OGavnjfWMWTZQRCbk82UxhePIY47JeSrfXXfdxTvvvMP69etJTk5m+PDhHHzwwbRsmXXZp1atYPduDhGhOGv31AfWq2oKgKoqLjOnQZx1G5Dxhn91zHrZjcWzFvhTRNrjAohfA1tixr8C6no3a8cCC3B/OHfyxjtRkK6GeZCL95NaIjLTm0r8vYicFDPWTkTme+8dP4rInVkco4X3HhN9rBaRzTHje+V7jQj7B4N8UaUK140bh3w51+e7+GLiBPDSNWoEiYmwciWBc7sHq1/AlOpPMSB2lSBwC2+xFNfl8XhC2pyQ9iGkTxHSSYT0U0L6IyHdso8E8GDP+nfRbrWlIitIlRm4ov7DRGhR0udTUlT5UZUbcF+fx3A1xH4R4XUROuwFdVPPwwU0ZuZnYxFpg/v94AeOVS3BAF5YKhCW8wlLGNgITMFliN8P1CekxxPSoftYAO8g3Nf2WVwZg+MyBfAOwwWq7sBlnp5RJgJ4Lqv7MuANQu7vpTzISxBvLlAZVyvRlHKWiWeMMYVvJDBDVVVE+gEv47J3wP2hda2qpohIV+AN3B9eGYhITeB5oJmq/ikiJwBv47IXIJfTED2LgKuAZ7x9N8UVVI+aBbwgIglet7ZOuD9UO3r7xVuWl45YppD5fFSsUiXnm6jjjz+eCRMmULduXfx+PzVr1mTKlClUqFAhy22quGpQAiTgCtDv7UYDvYEauJ/Xg6IDqpokIl/ivv8bA7NV9Rcv4FTeW967GM81u/eTR3FZgWd4HwhMEZHGqprsbfeAqk713k+Wi8g0Vf0hduequhRoFX0uIsPI2IRhr3uvEaFCMMisWrU4bPZsAk2b5rxNrFq1YGLYT5tj4LbbnqICO+nDi+krzCSVhXRhgze1dl/mMmPqs2dnWiglQTzP/bjaZa+L0HYvnUqaK6r8DfxPhCdx0zJvxZUPWCDCUOBNVZJL8BTz60LgfVX9L68ben+vvYp7v7pQVf8p5HPLWVgqAmfiMu66ApVwU3XvAd4mpHv7tPysheVS4EVceYLjCen8mDEf0BeXYboMaE1Il5fEaebTkcDhuDIheVWe3E+n/R74Dzel9rt8HMsUI8vEM8aYQqSqu1T1fS+rCFwtkkYx41OjmUfe2EEiEu8DlWjtpGix7erAOsgwDTFas+stoH5shk4ma4CNMVl/vfCmC3rntAY3taudt6gj7lP447zjBXFdu2Zlc+mmiB0Y+b3Cv1sj2a4TiUTo3LkzBx54IH///Te7du1i1KhRnHXWWSxevDjL7bZtAx+ppOCfh0i7LFcsXGuBOtHvfxERsq6TtYaMnUMbxayX3VhW3gG6AEcBn8QZn4ULJnUiffrKfNwN7UG4G7kil9P7CW5a2EveuguBP0ifFqy49w1wN3tJwGay4QUpL8ebUri3vteI8ERCAofPmZP3AF6sAQPg/vthgG8oSzkyfSBCkI3FOz29FKuF+3Ag9meyIbCDjN1qS5QXlLoMd74v7gVZZwWmSrIqYdzP6wm4r+FE4FcRBoqwZ5HVUkpE9gM6k4+utCLSF1dr9Q3gzGIN4LnmC90Jy2u46ZRvAHWBu4F6hPQkQvr8PhvAC0sNwjIZmIwLsrbKFMCLZuc9gwviHVfGAnjgGlqsw2XK5VXuM/Fclt8CrLlFmWBBPGOMKVo34/74y2rs/ZigXhpV3QTcAHwrIr/hMod6esN5mYYYNQboJSJ+3I1/5iK+0aAFuD/WPwI2iGsa0BbYoKqrs9m/KSoiFRCZ2ocXTl20MPuZFFu2bGHVqlX079+fmjVrEggEOPfcczn44IP54IMPstxu0SJonvAzfiIuqCVyZJYrFxJV3QB8C0Q7wV4IrItTDw/cjdc5InKgF+y7gfRsrezGsjr2Llx2SX9VjRcZnYXr1ttQNe0P/s9w2TpfellkJSHt/cS7KQ1GawF6VpP+PnA18KCIrAFWAPdkWjeeC4BVqrrYe77XvdeI0EGVviNG4G/SpOD7e+ABaHO00DswLnNHhLKYqVQUogH22Om0DYA1pa2JhCprgStx70lXl/DplBqqqCpfqnIRcDDwGi6ItE6EF0U4rGTPMFfOBVJw9exyRUT8IvI0MAzXybhXsbz3u8DdxYTlDVzg7jVccPlO4CBCejIhHUZI/yjycynNwnIasBT3YdDZhPRGQjFZlmG5DJdd1giXnTeIkJat92U3lfZS4LUMjTlyLy/TacFNN7YgXhlgQTxjjCkiInIP0BT3x27msStwN7hx0+NFpBruhr2dqjbETd+bIq7Qfn68jZuGcT7wVZxPkmcBHUWkAbBZVbfjghYdvYdl4ZWcZ4Fu7fmKdRsSWLUq6xX3228/Dj/8cIYPH862bduIRCJMmzaNZcuWcfTRR2e53ZxPkmmXlNZArzJuek5xuB64XkRWAAOJuXEWkZdF5BwAVV2FK9L9JbASVwNoRE5j2VHVt1U1q9pIC3FTbRfELPsM14W0WOrhZZbd+0kWBgJ3q2oDXI2bh0XkiBy26U3BC/uX6vcav5/b27QhJRRyzwcOHEiLFi2oWrUqderU4bLLLmPt2oxlpNasWUPXrl2pUqUK+++/P/369SMpyd3LBwLw9HNBFqa04XNOjG6yuaivowxpgMsK/T3TstI0lTaNKtNxGTvDRCjyDzPKGlVWq3IbUA/XKfM04EcR3hfhtFKcwXgh8KGqbsvNyiJSEZf11he4XFUfjsmILnxhqUxYLiEsb+J+h00G9gNuB+oS0k6E9AVCur7IzqGsCEtFwvIcriHLfKAFIX0/Zryml50Xxr2OrQlpsWTPF4FjgCbkv8REXqbTgsv2O4Sw7J/P45liYkE8Y4wpAiJyOy6r5UxV3ZFp7BJc0OE0Vf0ri12cBvyj6oryqup7QFVcVkNepiHibb8LmIGrGTI6ziqzcJ++nYG7ocb7NzqlsEQCF/s8N53xSoCTmEPdwAZeeCH7Td599102bdpE06ZNqV69OnfddRfPP/88p556atz1Fy6EhYuDhAjHLj6vUM4/B6r6k6oep6rNVPUYrz5bdOwaVZ0a83yUqh7sPXp7dd9yHMt0vI6q+k6c5WNV9byY5ymqWkVVL810rqKqj0aXSaL4JVEG+of435NEOYgiEu/9RFX/BlJE5MCYVRsBa0Rkf+B8VQ17667C3exkOcXTy4Q7FjJ8I+xV7zUi1IpEOO/22wmIRJcJY8eOZdOmTfz444+ICN26dUvbJhKJ0LVrV2rWrMnvv//ON998w5w5c7jjjjvS1jn2WGh/dDIj5IbookQyve/vwxoA6wllyGDK3OiitLkPV9/xDREql/TJlEaq/KvK88ChuN8XFXBBlaUiXON1IC5ZItUQOf93kWuOcH9TvZm7zaQ23ocNuL/TwtlvkU9hqUJYLiMsb+MCd2FcCYRbgTqEtDMhfZFQln8n7nvCcgwug/8q3N9GFxHSTTHj0ey8k4EzvaZCea6BWIpciuts/k0+t89rJl50KrJl45V26uVI28Me9rCHPQrnAQzA/cKtEWfsYuBn3DS97PbRBjeN4kDv+XG4DprlveezgZ7e/3cHvs5iPz2Bd7z/PwT3qa54zxWoHrPuT7hpd2d4zysBvwLbgbol/brukw84VUGjj4e5W6tUTNa1a7VQRCKqZ3VJ0ZaBZRqJOU4EdpX4tZfyB4M5JDgkuDAwJJBa96m6yYEhgW0MJsRg9/NVaMfJ/v1kLDDY+/+2uGynIK574magsze2Py7wdlw2x3kQmBhn+V7zXgN6Dqhu3qxZWrRokQK62Vtp9uzZGggEdOPGjWnrvPPOO1qxYkXduXNn2rLERNUGCX+kKlxfVOdfJh+TeE4nMTfT12El6H0lfm7Zf680AP0bdFxJn0tZeYC2Bh0Luht0I+iDoHWK/VwgoPC0wn+xvz+TYL66ZmHZXANHeO9FvwCHFvq5TaKqTiKkk5iik9ipk0jRSXykk7hOJ3FASX8NS+1jEgGdxAM6iWSdxCydRINM4xV1Es/rJFQn8bpOYr8SP+eCX7NPJ7FOJ/FgAfbxkU5iVB63+Ukn8UiJX789sn1YJp4xxhQiEakHPIX7NHWWiCwWkdg0/km49PZ3vbHFXm0rROQGERkCoKrfAg8Dn4rIElxNlovVZblANtMQs6KqP6vqk6qa1ZSQWbhunF946/+HK0K/TnUfr71Scv6JfdKf5zgwaS09r0ghkp/qKJmMHAkzPhCeTemTYQ7UdM5WEe4VSeuGbDySKD5JlH5+8S89dP9DW3173be+Ff1WBK5tc21lYJJf/G9JohxQKMfK+f3kLqCDiPyMC+hdoarJqpqK+8DgCe/9Yw4wVFXneftNe6/xnvtwQbh4U2n3pveaoxs2JKlGjaxX+PDDD2nYsCE1vJUWL15MkyZN2H//9NlFbdu2ZceOHaxYsSJmGaxJquMTNFfZPvuQDJmbIsTrVlvqqLIGL9tHJK0ercmGKotU6YnLtHwB997xmwjjRWhTjKcyEpfNVjF2YRDaA3MQqRNvIxHpjJtOuB44VlV/KpSzCUtVwnIFYXkX9+HseO/cbgIOJKSnEdKRhKybdVxhaUZ6F947gVMI6ZqY8ba47LweuHqWlxDSUtM0pwBOwDXSKki39vLkLRMP3M+AZeKVcvE6IhpjjMknVV0HWdeEUdVgNmMvZXr+LK4eWrx1fyIXv2RVdSzu5j7emGR6fgOuKUDssj2OIYlSSZDHfeI7LFVTr9ZBWqpvxsoqEWqAnreMIyJH8KMPoDL/MSnlYjrMmUe/vhGGDffhy+fHcTNnws03pXIXj9MxbVYjRJCk0fR6A5dJ9YAI3+FuPHbiMqYq4W5AKuKmUJUD7lVN70K6t5JEaRjwBcZFNHLS3SfcLRfufyE3XngjIoKqyvO3Pc/Dqx7utmnHppMlUXrpIM2qqU12x7jEJ77BEY3cqW4afXbvJ38Bp2cx9jEQtxBinPeaCC6wEm/dEnuvKQL71amT9ev58ccfk5iYyFtvpTew3LZtG9WrV8+wXjTAt21benmtA9MnNdekFHVdLQUaAB/HPK+N61ZbmqfTAqDKNBGeBF4QYaEqy0r6nMoCVf4EBonwPyAE3AJ8I+I+TACmqpJaFMd+VS495lga9gyQQi02kLBnf5nawKOIvA6switZIiJXAS8DU4CrVHVn3AOEJQE37bUucJLX0TPeetWBbriO5l1wJaw+wdXYe2cvCTIVrXBao6qncNnbRxPSZTHjAVxg7wFcSYbTCOnaOHsqqy4Fvs9wzXlXjrzVxAPX3OJiwhLI8vvblDjLxDPGGJNrkijHB33BZZUTKl/foFqDk/zi/0ESpackSpY3xiZvRKgmwiBcp9E+w+k7RmM+SW3L17ymF/PyyAjdL0hlYx4/u09Nheeeg25dlYtSXk19iPtih3/zoWe9rRdciStc3h9oDZyFKwx+BnAiLjh0OK4GWx2gWf6utuyQRDndL/4fGlVv1GFe73nyYOcHqXtgXaZNm8bnn3/OyJEjCT8R5se+PwZCLUI1gHf8Q/w5VDDMsP/9A0MCbwCvHl3n6EOBqf4h/rGSKNWK7KL2PSnJyfE7ok6bNo3u3bszceJEzjjjjLTlVatW5Z9//smw7pYtW9LG0nacfqtTJMGJMixz/btoZ+Oy8uHPPcAS4HURKpX0yZQlquxSZTRwFK7b97+4xjc/i3CLCFWz3UEuiFBFhN7BIDPKlWPjZby6sDGrpT7rqCz/0SphGX0YzkKOif3BvxKYBvygIgsuExmF+wDiKeDSbAJ45XHdwc8jva5n7Hh1wnIVYZmG++BrNC5h5gagNiE9g5C+YgG8XAhLXeB93CyUoUD7TAG8ZrhmVvcAt7G3BfBcgPIiCpaFB3mviQcuiFcRaFnAY5siZEE8Y4wxOZJEKS+J8jjweadGneot77fcv6zPssBN7W6qBIzxi3+qJGYosG/ySITKItyNq8czAHgaaDxc+14jLnD2Hl6A4AKmbB8d6Tnj/ffZ1LQpKcOHw7//Zr//SAQ++QTatyfllltITUmVxIf0nv39REJAH9xNVhNUPwFQ5T9VRgCnANlN3k0CninQxZcNqamaWvHNi94MtjuoHQC1atVKy9IqV64cfr+f6uWrM+68cXLEAUekqGqubvolUboGfIHl+1Xc77yZl89kwbUL5O2L36ZauWqXB33BHyRRTimyq9q3/LpiBb7Mk3wnTZrE5Zdfzmuvvcb555+fYaxVq1b8+uuv/P13+n33119/TcWKFWnWLD12vXw5iJBCxi6s+7awVMZlJsYG7OJ1qy21VEkGLsF9WDGshE+nTPJKOH2iSldcI4wZuHIh60R4RoTGed2nCOVFSPT72RAIMLJrV7o89BD7z5gB8+bBF1/A6PFBTul3BLObXkM7FtI2sJh5HJtxP9B2FFxzOTyoqgO9rOQ9haUiMB3XIMMPpAC9CEsNwtKTsEzHBe5Gud1yHVCLkJ5FSMcQ0s15vcZ9VlguwjWnaIbLdrwnrTFOWISw9AEW4+q/tiGkzxLK4utWdnXG1bJ9rYD7yU8Q7wdcwN2m1JZiknW5EmOMMQYkUdoEfcFwwBdo+uwZz/rH3zKeH3/8kX79+jF48GBmr55Njyk9kv/c/ueOlEjKtTpI3yjpcy5LRKgI3Iirb1YRN4X6KVX2/KNfpCquS/EmVHd5mQwP+nz0CQaR88/H164d0qIFVK0KSUmwciUsWgRTppC8di3BYJC5ycncoMrSPfaf9Tn2wNXxyUyBV1UJ5f3KyxZJFH/QF/zr3hPv3W9Qx0EZxlJSUujatSu33norXbp04ZfNv9D0+aYAZ+ognZnNPqv6xDc0opGrL29xeeSJTk/4unftTjAYZPv27VzT9xpmVpgZefend32CDFP0Lh1kXU/zS4TjgLk//QTR+NuwYcO4//77mTp1KieeeOIe20QiEVq1akWbNm14/vnn2bJlC+eccw4nnXQSzz33XNp6ffvCyy+zePduWhfT5ZR+YTkcd0PYipAuARDhduBWVYqsm3NREKEbMBXoqcq4kj6fss6Vi+BaXF24urgMt2eAL1QzZcuKHAWcjavv9W11tqzbEaz+us9Hg0GD8F93Hey3X9bHUnWBvQfuSeHTz3z0YzhPMYAgGWYKTkH1grg7cMHo93FBjdhSVIr7YC2C68z7BjCVkP6Ty5fBxHJTkIcBl+OCoQMI6faY8bq47MbTgP8BQzJ1vd57hGU00IKQti3gflYDLxDSx/O43YfABkJ6RYGOb4pOSXfWsIc97GEPe5TeB4O5XAZLyvGvHJ+yavMqVVVds2aNjhkzRgcNGqRR23Zt02umXhNhMMpgns1yf+6P8HdwnSmXAB8BTWPGBRjsjS8FZmWxnxa4Yv3Lge9xf9hViBl/E/iDTF0x4+ynF+4mcxHQJmb5ECBUpK8tWh60P+h60B2gj4Pmqzsd6H6g/YNB/TQY1H9iGvKpz6dJ5crpEtCnQY8swPkOdo1r0/cd8/gK9HLQhGL5vnQ3TN/hPo3/HGidm++vOPu5y/v6LwbmA+3irJPofR+1YjDPHfzswUmRSCTte/+9997TqlWrap06dXTmzJmqqvrQZw+p/xz/f/jIsgMngzkoMCTwe/VHqye/9cNbqqoaiUQ0KSlJVVX/+ecfrVevnkYiEZ2wZIJWfqRySmBIYBWDqVkcr/He+AAtFwjo5nvvTfvyKaCBQEArVaqU4TFnzpy0dVavXq1nnXWWVqpUSWvWrKl9+/bVXbt2pY3v2KFavbomgw4p6WssVY9JnOF1i0zrrAz6HOjcEjungn3/PAn6H+gRJX0ue8sDNAh6Ceg873fJ16BXgCYo1FT4MPYXzWecqJX8OyInnRhJXb1a8yQSUR03TrViuWTt6puuu0jQmH2nKgT2OEfXTXa+1xVV4zzG6SSqlfTrWOYfk+isk1irk/hLJ9E1zvhFOom/dRIrdRIdSvx8i/a1KKeT+EcncVsh7Gu9TuLmfGyXqJNYVeKvhT2yfNh0WmOMMdn5V1H/xAsm+hvXcDNe6tffs/59lXJVGNF1hNSuVDsF1wAhOyOBQ1X1KNyn7y/HjPXH1eE4UlVbAJdlsY9dQD9VPQxXb6cSLiAT9RLQKofzALgfaAvcjKutgog0B1qqajgX2+eZCAki3AD8DDyOmy7RRJU7VclXdzpV/lbluaQkOicnUwOohev+WS8SoeKuXRylygBVvi/AqSfiCnpHa36lACOAk3HT5cYBa0RIFCFu979CdLGqtlTVVrhpx2NjxrL7/kojIq1w04jbefsZRqbpciLSDvf9Ea3pNfmXLb8EF/+5GHAfhPbs2ZMbb7yR+fPnc++99wIw5osxyanzUv8hwqPZXMNGoMrtx90euODwC6LHIxh0vW+2b99Oy5YtERGuaHkFNx5zo1+QCmTqWGxyT5XdKSk8P2wYKdGeFKpKcnIy27dvz/CIzcpr2LAh06dPZ/v27fz9998MGzaMcuXKpY2PGwfbtiHAi8V8SaVdA9y0rH8yLSsr9fAyuxv34dLrXga1KSBVklV5TZXjcJluK3Hv56tXcvDXuKwrAFZyMGf7Z9Kla4J89LH4GjbM27FE4Mor4ZPZAeaUP50bJUN/Hx/wHhJTgzQsTXBf7/bEbwapQGtCujVvZ2LShKUCYXkG1/Tja+BIQjotZrw6YZkIvI7LdGxFSOeWyLkWny5ANdw1F1R+ptOCq4vXmLDULoRzMEXAgnjGGGOy80HAF9j+5g9v5rji/HXz+eu/vwLA5KzWUdVdqvq+qkany8zHNUeIugMYqOqmSKjqn1ns52dV/c77/1RgYex+VPVjVd2Q40m7gFR5XBAwSUR8uCk9N+di2zwRISBCL1yXtedwNe6aqnKLum5+hcL7kG6jKqtV+V2VQukupooCvXFfM8VlTT6qyhxVLsIFDUfjuu+tESEswnEiWXcDzf+5ZJiuVM07n9x8f2XYDa6mTrRuXXVgXXRQRCrignrXx2wzP+gL/vHq967W9PTp09m8eTOffvop3bt359dff+X7Dd/zy+RfghxKomrWnd10kCalRFJefXXZqxnaJ27dupWTTjqJli1bptVnU1XCS8PJyZHkCTpor6v9U9yG/fcf22+6KX6Di7xavRpuv51UVYarsr4w9rkXcQG7kOoey8ogTa+PdxDwfAmfzl5HlfmqXAo0uZyJnzbll7RaeckEuCLwKk2aBQm/5ichIf/HOfZYGB8OMEav5k0ujB06gyBTCMt1hOUjXEZ3tBGL4uq/xr6nC9CCsFgDgPwISxtc4K43cDVwASHdGDN+Ci6IeirQlZDekGF67d7rUuCLQmrUUZ78BfHme/9aXbxSyoJ4xhhjsqSDdHdqJPX1Cd9NSM5p3clLJ5PgT/gFN80xt27GZUshrt5bbeBcEfnKe1yS0w5EpBJwTXQ/eXQnbsrlQNwU2j7AdFX9Ldut8kAEvwhXAD/issQ+Bg5RpY9qetCotBKR8iLyjoisAFkA5ZJh6RLgMVVWi8hsEfkV5D2Qs6DiY7haR4cBc4EFIlwpUqOriCyOefwhIt/GHKe9iCwRkRUi8qmIxK2ZJSKDRURFZJaIrAUeBHqIyK8i8o+3ziAReRnv+0tETvC26RizqxtxU2l/FZF1wK24+kxRjwMvqqb/Ia2DVJMjyRMmfDch+dv131L36LqMensUO1J2sCNlB0+OeZI7h9+Jr6JvB6fGzwDM5NXvN3wfXL5pedqCatWqMWfOHJYvX86DDz7I1q1b+er3r/j939+DFLxT3T5PlY0pKVw1fjwyYkTB9vXvv3DRRaQkJbFKlYGFc4Z7lXgBu8zdassUVX4DrgJ6iXBlSZ/P3kiVNRPpsTx22SQu5xttQ/iNIDFJsPl27rnQ++oItwSGkxybZJdMJ37hOWAbcAWudEcnoCfud80Y3O/wX3DBkVRctpPJrbAECMu9wFfAJqAlIR2bFux32XlDca/zQlxtuOkldbrFKiyVgHMpvN/15XAzV/LG1XX8AehQSOdhClm81GBjjDEmjaKTv/vru14r/l5Bs/2axV0nJZJC+PtwSlJq0ngdpLnKcBGRe4CmuO6n4H4nBXC17dqLSCNgrogsV3VF0ePsIwE3HfVDVZ2StysDVX0beNvbV33cH09niMgjwMHASlW9N6/7dfvDB1yEq/HXDJgInKHKL/nZXwkbCcxQVRWRftCye6bX5VZVfSd2AxHG4f4A7A+Mhi2bcdNvX1LldxGZBsxy64oPmARcq6qzROR2YCju9YvnG2C7qtYXkatwU2Y3ATW88VnAFFwmxSnAbbgbho7AbG+d03FTv5uq6h/uungNOEFETgMaqmq/OMd+df329XcdPfLo9CXnun96ze/lruJSXmYw/WWwHA/8BQyIZpdm8lnQF9w0eenk/RM7JZKUlEQwGEREqFSpEuXKlaN8+fJMnjuZBH/Cr0mpSYuyeD1MHqgyVYTEG25g0LZtcNtt4Mvjx9rr10O3bqQsWcK2lBTOVc2xjMC+qCHuRhBwHbjZs1ttmeN9/zwDvCjCQlV+LOlz2gulBR4UeCZwJxd3V5o3d8sGDhzI9OnT+e2336hUqRIdO3bk8ccfTyv3sWLFCu677z7mzp3L1q1bqVOnDtdeey233347Ii45/L4HfIwZewBv0p3LYmMmj/AgO/XhHM8wLAJU2keywwpHWJrimmQdjZue/gwhTY0Zb4P7W6keLnA6PlMm794u2sAl5+kvOQlLAJewlZ9MPHBTai0Tr5SyTDxjjIkhIs+JyGova6dVzPK0bCQvW+gjEWmazX7uEpEfvIyj+V5trehYXjOOzo9ZJllkHEXH98g4EpGXROTB/L0iAMwK+oKbo1MIr7rqKp544gnGjx/PqaeeCsDs1bPZvHNzgFx+eugFaS4AzlR13TZVdTOwHfcHHKq6GvgSV5Ms3j6CuKDLegpn+uuzwABcoKeuql4C1BORTnnZiQgiwvm4ZgmTvX+bq3JVWQzg5XGKasx2qCpfqnIJ7mZ+BG5q6mqRFe+C7zSoOMFb/WggRVVnec9HAN1EpHwWu/8COFhEDlTVcd72r8WMH4ebHtvb+/7qiMu07AggInWA+sB8Vf3D22YMcLwXGO4MtPHeC1bjbijeF5FuuIYZh+zx+IhzeBrYzeO8xivAuap6EfA3rtvenq/RIE1NjiRPmvDdhGRV5aeffuLkk0+mY8eOnHLKKQwZMoRAMED4+3ByXgLkJlcSgTvuugs98URSfvghx/UBSE2FESOgWTNSv/uO31NS6GBBnCxlzsSLFlQt00E8z0BcUyWrj1c03sCrv7qM5nyXcgR9+vnTBkWEsWPHsmnTJn788UdEhG7duqWNb9myhRNPPJH58+ezbds2XnvtNYYOHcqzzz6btk6jRtD1bGWSr0fGI+9iW67OMKRqAbxcCosQlutwfw9VAtoS0ifTAngZs/M24LLvxu1jATxwU2k/JaR/FcK+on8/FSSIdwxhKcDkdVNULBPPGGMyehM3je6LOGOZspF4GS8oECumYH5zVd0uIlfgamu1y2fGUS9cVhG4rKLMGUejY9bvxJ4ZR52AG7K55mzpIE2VRAmPXTz2+g71OwR7DOpBD9L/6P141ccMWzCMBH/C0t337V6R0/5EZACuYcWpmWqbgQt6nQG8ICI1gXbAE3H2EQ0Ybgauiwkw5Ys3bfdHVV0qIudAWr2sCFA5d/tAcJ+iDgFa4zL8QgVsJlEapU2BjvGoFyj+AbhbVVfFDqryO3C/CA8DF8PoR+C8BHhrpgjPQ7WdsPW39PX1XxHZBtQFMuyL9BqGE4GrvKmwinu97/O+vy7Gda09WkR+ARqr6vtekL487mdiOXCsiFRW1e1AV2CFlzF3t/cAwAvknaeqi71FKzO/KDJY9gc28RfROk65/R569dd/fr153JJx1KtajwfGPpBh8MWvX2TTjk02lbaQeTUenxThs4ULeeXII7XFqR1TubJXgGOPhSZN0rPz/vsPli6FGTNg5EiS//oLvypDgcGq2E18PGHx44LfsQG7aCuCMjudNkqVJBEuwXU2fw5X0sEUFtXfEHkWGLCAdpRPSKVdu/Qg3v/+97+0/09ISODOO++kdevWbNmyhRo1atC+fXvat2+ftk7r1q256KKLmDVrFrfcckva8pM6+nls5nFohGjx1mTgrSK+un1LWA7E/b18Fu7v60GEdHfMeFNgAtAGFxx/htA+WPs1LNVwr1HfQtpjdJp33qfTOnNxf28dhZvWbEoRC+IZY0wMVZ0DpE23iFm+C3g/ZtF84PasdkN6wfztZCyYHy/j6CERKe8dI7MvgNO9jKM/cQG90UD0L9j5QF0Rqaeq60jPOLrTu446uGyIeTldew4m//rPr/1Om3BaduuMz2knIlIPeAoXmJnlvc67VTX61/bdwBgR6eM9f0xVF3jbDgH+UNWXcMXFL8DV31vk7edLVe3rrTsd94cHwDIR+VlVO2ZxTjVwfzSd7i2aCVwjIt8Bv3rPs7kmBNdBbwiui917QG9V9rqpj3GmQAP0UNW14r4IfYFpwBHxtldll4hMAB6A0G3AMcBIeGkHPPi3CPVVyamYczmgG7AF10xjNa4zbgR3Hxb9/qqLC5DfDSzwtt0BPIILqr0OVAS+FpHdwH9AKJcvRQZeVuhjuOyuaGOUVSLyPS7ofn42m38V8AXWXP3u1Q2yWiHgC3yffH/y8qzGTf6pslCENi/Q57Ppn53T4apZXYjgo1L5FKpXSSUlVdiwJYiqUCPwb9KWlCrPAi+rkuMHFvu4Orj7jNiAXbRb7V7RzdPVBOVqYIoIs1VdFrkpNLcDf3zNMYNbHJ5SORj0Z7nihx9+SMOGDalRo0bc8ZSUFGbNmpXWLCiqdWvYmFKDv6jNgfwF8BTp2dmmoMJyAe4D8H+Bkwnp5zFjAlyH6zD/M3AMIV1aEqdZSpyLmyWZ59IwWYgG8fKbifcTrrN4ByyIV+pYEM8YY/InXjYSAKq6RESewRXM34z7BXqSN9yAmJuaHDKOoqIZRyNwU0vvwwviqWqSiMwFOonI68TPOJqXRYAwL+bhahntaSg3s4s7qMzrDMp+J16gMctupar6N3BOFmMPxPz/JFxGY1b7OTv7M8mw7hbSvz54mVhxzyEzETriil2fAHwAtFdNCxiVSSJyJW5aMcCzqjrGWx6dAn1qdAo0QLTxg5cNOUxEnhSR/byvZTwnA+Uh/KzqpFQRbgcSIelq4FcRpsCSl3FdZ+PdTG0FXlXVW0RkBi4w/mj66ah459sB97PzGq4uHbiOkvVxQcCeqvolMRl3WVHVRjmMJwMni0gFXDC3l6rmKjNHB6lKojQHggzjUrYzlEupTyPSmsmkRFLi1dMzhUSVFOSl5TdGXurwHxVZSguW7mrBv7uq4CeVg/id1iyiYcpvowOacmdJn28ZEQ1Kr8m0bI2XBblXUOUdEYYCL4nwtSoWbC8s7nfKUyMktdmJ1aQXWdy3fvzxxyQmJvLWW/ET6FSVG264geTkZG677bYMY1WquH+3UXX9gfz1GKrPxtmFySuXVfYsrgnMaOBWQrotZrwOLjvvTNwHYIMzZOftmy4FPiCkmwtpfwUL4oU0Qljm48qT2M9FKWNBPGOMyaMsspFixxvjgh17FMzP5yHH4TqobsdlD2WeZjALl4H3G+kZR9FfvB298QLxanFtiTcmg+UxoDe7uA/3qepeT4TjccGazsCnwAmqfFmyZ1U4VHU8mbIqs5oC7U1r3k/V1W8RkQuBv7IJ4AH0Bsaqulo4qvwhctn1IJ3hwclw/2nw0Uw4YyvMuFyEcDZNA+4H2qjqSnGNUGItBGrh6tFFg7Kf4TIF60CcYGtYfLg/pBcQ0j2mzOZEVXeKyFjgOhF5NHqNOW43yNVVksFyGPCdjtENeT22KbDxQK9K7OD/7J15vE3V+8ffzxmueZYyK6IyK5EmipKKiqKjUoZIE5on0qB+pVmUSohT+iYSDSgpYzKnQoaQIfPMnZ7fH2uf69xzz7nzvecO6/16nde119p77XWuc8/e+7Oe5/O0ZDEtWRxpH0v6qIHxNAsW4vN1ZdpUeAy4GOOP18IWOcleEnEfP3Q4xX0PANOnT+e2225jwoQJtG/fPkV/QkICvXv35rfffuPHH3+kVEC1czjiJMO3ZNEF+7R8jkTgOXYMJyHpc/GSqk5y+mYCZ2Du6w4DD6hqiih+5/o2FmPVsUlVmwT1tQa+xUROBbhIVVN8Dp3F4FbAbuBGVT3oRNF/A9ynqln37fVLa8x9azHgBnz6VUh/Z0wWyiHgMnwazr6mcOGXipiMjjuzcdSAJ15WFvEXYK0C8iS2sIXFYim0iMgdTuGJFSJyVzqPSVGQIQydgdURDPO3cMoXCBEpReSIIwBU9V/Mg88QZ6xQ5mAi7tpwygdvblDbj2EH9sv1fFZ0PH4pFbY/nTg3is8AvUTk3KyMldcR4UIRvsOkOccAbVS5sqAIeOEISoEui0mBXiEiAYWjCDBDRFaLyEqMF2THoGOfE5F+QdtlMH8/wT6OqGoi6G0wuCNIOXhxGQz/ARgFbBPhZRFSpJuq6m+qOjrcvJ3ouHlAKVX9y2lbB5QC5jn9ofQBJiLezx1Pr8zwPkbAuCYTx54PLMvkeS1ZQXUuxpMzEuNRzaotQWGiJvAvPo0PagstdFEgUCUWY/FQAxuxkhOs+eMP3PHxyRsnTpxI9+7dmTRpUoo0WYCTJ0/SpUsX1qxZw9y5cznjjDNS7LNiBXi9HNxP+R05NPcAXVW1ifMKLsJ0i6o2ckS51zFCXTgOYbIwIlk+rA0av0kEAa8BcLaqNsTcKwbMjXsDc7Is4PmlKH4ZjrnnXAE0SCbg+aUMfhmH8Z6eCjS2Al4SNwHxwLRsHDOr6bRgsnBq4A9fgM8SPayIZ7FYCi2qOj7ohiecOJaMoGikdmEKMgSzESPaBczsgw3zlwLeoIqnfYGv05Hu+gzwtGrY6KDgiKOfnLa5mIiiSBFH5RDPOBJP3o7x8coqnwBrOJXWWKAQoYkI0zBFQ8oBVwOXqSb9vgssqrpNVUVVawf9vbRw+o6q6gWq2lBVG6vqlaq6MujYwY6HYWD7oKqWCC184fQtdB5m6qruP1+1fmdOPRTfgUm1/RL0J9CBYY7frKplQ9raq2rlkLbKqpoyZMMvlRDPcKrdACQ2IZNRpaq6FvMQc09GjhMRNybKYmlmzmvJFm4DHsF4YQbYCDxE9kZIFAbCCXYFUsQDUGUTcBfQRyR8NepwONYXm52q8k2C2isELTKuEFPNPt4p+BRunMdE5A9n30UicmFQnzoLLYGxLo0wRk9njOUi0iyo/TkRyZRfaDax+ORJ3L/9dqphxIgR3HfffUyfPp2rr746xQFHjhyhQ4cO7Nu3jx9++IHy5cO7gfz8M6rK4mileIfcS5aB8PNQ1X2qOg/j3ZpZ4oAiToG1EkCs45t8K0ZAzDx+aYK5F+2LWQy7AV9QRLmJzluFWdzqhE9749PDWTpnwaIbMD2bfyfZIeL9ivlMXpT16ViyEyviWSwWSxAi8r5T7bIa8L2I/O20pxaNFBpxNAWzmvabE530IM7qqYk44jbgLRFZhxH4UggSoWR/xJG8hLd0KZq8DMgA5wYs0zhpg48BHSM9IORHRGggwmRMBcJqGC+1lqrMLEi+TnkVVXaq8hxQC/N3cwYm8nSVCHeLUDyr5xCRX0RkT+8PmEWRikW5aDycM0he/tr1ZhGvLBGReSLSKIPDjgKuCZPimxr1MIU2rIgXLVQTUR3Oa5zDm8Ag7gbqoPq6489lST/JBDsRAtVqC2I6LQCqTMFUqn1fhHrpPOwLjNVGst+Lqu4NjqzCFAf4VjWlX5Yj/vUHLnT2HeG8grk0aLxfCM8zGN/dB4EnnbHrA41U1Z/O95MTrPZ6WT9q1Klr7v3338+RI0e45pprKFmyZNLrl1/MW5s8eTI//vgjv/76K5UrV07qr1+/ftKgW7fCtGkQHx/ZXzcbGS8isSJyIEhQ7QogIuNFZDfm/7ioiPwuIj3SGlBExoqIYgo11XbGPCIi20RkpYh8F3wNchaY5mCiva/A3Hv+AXykaiJmMyzY+sWNXx7DiD0HMdF1H+Fzvi9NdN5rmIWt5ZjovOyMNsv/GH/A1mR/BfpAOm3mRTzjY/g7VsTLc1gRz2KxWIJQ1b6qWk1VPap6uqrWcdojRiM5/UkRR2p4QlXPcaKTWqnq0qB9gyKOtLU6hQHCzOVZVR0Qpj2rEUctE1Xvvv/r8z0te06h+dDiPD/FNc3xA8sK32Fu1F51PFbyLSLUE+FTzMpxXUyqw/mqTLfiXe6jSqwqn6rSCvOQuQxTpGKbCK+KUCsLw/uubcqH1crTiObvevCWYl0RHzNWerxHP5Z1mFSjdzM45leYYhoZieZrhomU+D2D57JkN2dQgdOA81lrxbtME+p/F6hWWyAj8YJ4FPgT449XLK2dVfVnNQWf0qIX8FGkYQAvJroKzGJjesYMJQHz4B+I0nJxqtp21FBF4+J4deJEdN26QJsSFxfHkSNHkr0uvdSsIfbo0QNV5fjx48n616xZkzTusGGo281esl88CeUyVW2EsU2ZAmwNSavtAbgxWREbMYu77zt2K2ERkZsgqfjRSoxA3gxjybAPeBFTbCtZereqPu0IvRUxFi3fAV1F5GPHn++adAu2fjkLk/3xPEYAvhxfUJS9WRz+DXMd7A3cmCw6zxLgZkyE5TfZPG4gEi+rhe0WYEW8PIcV8SwWi6Uw4RcP4v1w5eFmiav/iWXRokUsnDdXxv+SWH3Tbu7PytBqHnYfBVpgfAHzHSLUFmEcZnW6CSbNpLEqU6x4lzdQ5TdVemCqzL6OiXLdIMJUEa4UiVz9OOx4E9nVoanrTi1ZR6lmfJXm/LKYjjfdKh6X+nQiVYHyIlIk9ZGC56hxmMp7vRwvzPRwPvC7aqGv0JcXCOTepVagxZI6oamz4arVFjhUOYnxx6sFvJkdYzqVtsthivKEOaeuxIhtm5xMgoGQ4nr+gxOd9bqIlEgxiOFRTBGtxzGFm/oDM1Q1L0RPjnO5+L1rV+Jjs6FW97ffwnvvIXFxDHQ8DXMMVQ3+zE8EwmUrKPALxse4Oua7J9K1wIOJlAxUkT/sWFUkOtF2nzrnKE2E9FxMIY2BmKJrZwE/AwKUcaqsR8Yvgl96YcTDssCF+PT/8DmFnEx03hOY6Lx9QCN8OiYpOs8SSjdgKr6UPoZZJDvSacH44p2PP/33QJacx4p4FovFUri4DxLPrX7VCHdMTAyxsbEcjalDkZIVOKOs+3n8UikrgzsRh58CL4mIN3umnPOIUFOEDzHV3VphVsYbqDJJNXxVPEt0UeU/VV7APCzfioksmA38LkI/ESI9qIbycDGv6zSp2kFwAkj37t1LuVqXQNXrEnB5P3AJBzkl7KSXD5w5pXRcD8/52FTavEIF52eK1EVLOvBLGYy/V7B4UZOU1WoLJKpsBHoCd4twazYM2QsYH0h5DEVEzsREi9dR1WoYQS+4eEJNVT0fc207DXg1/Lz1S1VtpqqXYyKDOgEjRGSYiEwSkRez4b1kClVi4+LoumoVCXfdRWJokYuMsHw5dO1KvMvFZ6pMyL5ZpkRESohI2aCm8YBLRD4SkdoiUsVZAO2KEWm9wAygh+OjHI7qwKOqSf5ppztRk4FiaY9hfGRvBu6NMMY6zPVpIMbLro1zXjBFu8Ljl9MxkeYfYIo4NcenK4L6z8J4Mg/FFOJog083pRzIAoBfamGi3HIiGjTr6bSGhZjPRLO0drTkHlbEs1gslsKCX6oh7mGc97irwpktOfvss6lTpw5169al/4NPUqxUxWKI67VsONNTmAe2TBUGyE1EqCrCSGA90BYz53NVmaBKQnRnZ0kPqsSp8rkql2BuMhdjImD+FeF1EWpHPNgvZyGuIVK9k4uYcknNFSpUYP/+/XDBCDe4apxWmtpkUNBxoi9mAP3S2td5ALNFLfIOAcHWiniZI1zUXQ3gX1WyIL/kH1SZjEn5Hy1C3cyO4xTIuoWQit4hdAZWq2pAIP0YU1wrxszFRIKp6lFgJOEjwUJ5CxPp1RqooqpdgWpBRblyHVX+Skyk42efEX9dh0TdkcF6sqrwv//BJZeQcPw48xIT6ZUzM03G6Rgf5VWYtMYlQGNgD0YImyoiqzHVWtcBFwBXAp+IyCci0hFARIo7UZZfYzzwxovIS845OgKBCvGLMNe/chgh96nQCYnIxcBOVT3bEWw/wgi2dwM7gNFhBVu/dAJWO/Nvg08fxucUZTPReb0xFiSlMeLeK0nReZZI3ALsx0TAZjdFgDh8mtWF6PWYyFCbUpuHsCKexWKxFBbE/RbFqnqo/xQzZ87kn3/+YePGjWzatIkx4/xsqTLUgybehj9rN+mqugnjITZEREpnz+SzFxHOEOFNYAPmBvgBoK4qYwrLQ2ZBRJXlqvTERCr8HyYSYb0IX4twVbJUW78I4hlFydouKie3jmzdujUzZsxAi9dgfZkH3LUrcZpOpHompvQe0FpEzk1jv7qYBzMr4uUNKgBH8dnU5kwSScQr0Km0YXgEE939uUhSVExG6QqsDBStisBGjGhX0tm+DlinqrEiUk5EikPSYkFXTIGBiDgFF/5U1dUYf7xAGmQi5nsqaqgys2nib9f/OWcn55wdz1tvwaFDaR+3YgVcdx0Jt9wCJ04wLj6e9qocy/n56kZVber4IJ+jqp1U9W+M0NZcVS/EVDXerqbS+wpVXYLxNByvaopAqOoxJ8pyGiaaNR6SojzvB25zPJjrO37KiRiR8PYwc5qvqncFNQ3CFFe5H9iUQrD1S2n88hFGaPwGkx47N+noU9F5ozEicXN8p6rUW1KlGzAZX8Soy6xQhKxH4eGkQS/ERPJa8gieaE/AYrFYLLmAX64BbqLeg3B0Exz9h3IlXHiOrsOtSlFvIof1DBLKNuXYrt8/3fuW1Kz1YJYeYF/A3Jg+DAzOlveQTkS4DuPl01eVrSF9p2F8f+7FVFJ7BPhANcvGv5Y8hCq7gZdEeBW4AfNw8j3wlwgjgPE6kYpo/FV3vLpRf9vUT0/EqvwyeZj+8GyZ+HrA1VWPuS4+J8Ytorx7J3LwuNxbJh2VpEP4HtgM9AUGhN1DRMrDhfvMQ9nqzLxfS7ZTHuuHlxVqAAecyobBbYVKxFPlpAhdMYV43gDuCd1HRN4HrsVU3v5eRA4HCmo59MKIMaHHPYcRft7DFEtoDvwmIicxqbCBCqPnYIokKOa5bxmpFKoQkXKY6+NVTtN3QG8nkmyTsx1VfqN5maPxxWVo/BAeGzSAJx9zceNNLlq2ctGoEZQrB/HxsHGjEe+mTSNu1Sq8Xi8bgb4JCczJ7Tk7PoReVT3gNN3KKTF1K1BZRM5V1T9FpA5QGyMAJ0NVu4eMq5jqwQdE5AzgpKrud7q7YiLjUptXkmDrRP0lF2z9cikmBbgU0BmffplsAL/cgBHvjmGi8+ZiSR9+qYeJwH8kh86QPSKeYSFwL34R622YNxBbdMtisVgKAX73U5D4QmAzMRHu/gj+/BfiEuCK+vByN9N3It7FOQ8l/vbPHgao6vzMnlJEHsMIeHUUdgLkdKVHEWpiqnuWBCap0s1pLw88hIm4OwG8DIzKjZV4S95AhMYYMa87EAt8vOT5C7ZdcNbSVCMvZ/9OvVmr8fkXcHzbPu5U1Qw9xIrI4y3gyR/glRLGE2weqr8gcg7Gu+hmoMROiDvDeFW9gurBTL1JS/bgl5eBq/Fp02hPJV9ifn/X4NPGgSYRVgHTVXkyehOLDiJ0Af4H3Kqa45VQCz4it+B4/u2jHH58TPZ0ZQVNOBCfrKCrFinCP7GxzFVlDPBLtApUichZwGRMFVrBRE8+qKqbnf5bMcUqEjGZci8FqsSGCLah4ypQzhHxLsT41AXOsQEY6GRHhJtTOUwE3VWqesJJv/4CqOUW/jk0hr+Kx/AQ8C3QC5/uTDrYL6Ux0YR3AWOBB0NEe0ta+GUwZsG5ao6kHftlEDAIn1bLhrHaAD8CNfFpoVqMyatYEc9isVgKA34pCql4gwXR/2POGjU7yQtnCvCEU/EsQ4hIsTth22MQew5Uwqzw/gi8heqM1I/OOCJ4gfmYlc1ApHl7oCUmXSQBI5K8o8qR7D6/JX8gQgWgN+bmuQbmAeVtYGakIiYmWI6RmMiG94CHHX+ptE5W7SRMKWJ8joLZgIm8CVd84w/gMlRtJFi08MsHwJn4tG20p5Iv8YsfKIlPOwaaRDgAPK5KCiGiMOBEAPcAmqmyPtrzydeIVMBEryWroqrAdqpwiNIcoeT0C1lyq73WZwK/NAQmYO4ZBwEfJIu+8stlwDjMYund+HRKNKaZr/GLYK71s/FpaCXp7DrHE0BvfJque/80xioJHAC649NJaextyQWsiGexWCyWFIiIAB2AV4B6mNXdoar6XwYGeQsT+RaOJ1F9KUJfphDhZUxaQsDvVTGr2keB14E3VbERThYARPAA12Oi89pgzJvfAcapEjaiQES6AaMwpuR3qOrCVE7gwaTHnpOJ6b2O6kOZOM6SHfhlMhCPT7tGeyr5Er/MA1bg0/sARCiDeQC8VpVvojm1aOF44s3HXJ8ushYOWURkGPBEhN5jwEWopppKagnBL26MaPcCxp/1Dnz6d1B/EeB5jE3KDKBPsug8S/rxSyNgJXAxPl2QQ+d4FrgFn56XTeMtA37BpxHT8S25hy1sYbFYLJYUqGEGpgpZP+BGYIOIPB0wyU4VkVaEEfDi8LCaBozn9hfPlE2viTBEhIdEaC/CGZmdrwjtMamJwdc1waSVPK3K0Pwq4IlIURGZKiLrRGSliMxyPHMC/c1FZL7Tt0JErkhlrC9EZLuIqIiUDekrJyITnfOsEZGXI4zRU0T+EJHlItIsqP05EfGFOyYvokq8KlNUuQJoBMzBFMP4V4R3RKiX8hj9DGiASYWaJyIvBipAhuFmQgS8WLysoDFj6cELPMVQBvM6A5lJO/7jtOBde2OEdEt0qICtTJsVQv3vAoUu/onCXPIEjmjXFRPd9HqUp1MQeAp4Hg9xIe3rgKutgJdB/FILkykxDBgKXBYi4DXCVNbtj6li29EKeFmiG+Y7clEOnqMo2eeJB8YXz1aozSPYSDyLxWKxpIljyjwIUxTiEMbrbqxqBB8PkY+BOwObf3Auo7mbTzx3sS++DF5PIlUrJya4vJ74Q4dw7dmDF8DrZWlcHO8DE9PrVydCFWANUAYIJ3zsA87KzyIecAXwraqqiNwHdFHV1k7E5FbgTlWdLSJ1gdlAPVU9Hmasthij6104PjpBfVOA+ao63Nk+QzXlTbqIbMIIWecDD6hqFxGpD7yoqjdk65vPZRzvxJ4YY/damMIU7wDfBqfaOr/3e4DhwF/A7aq6BlOFthdG/K6LI16spBGjuZuJ7h4cTChJEW8CNSrH4XbD/oMudu0zOuAlnoX0jn+PbnxGEWKLorY6alTwyypgGj59OtpTyXf4xYvxHfUF0q5EuBaYDpSJFOVaWBAh4OfWVZXPoz2ffI1fhONsZiZL+ZzpwFqy4ONbKDFpnT0wlhJbgdvx6bKg/uDovN8w0XkbojDTgoP5nW8AvsCnj+bged4AWuLT7BHe/NId439YGl/K+0tL7mIj8SwWi8WSJqp6VFWfB+pgjJDfB1aIyDUSiBgSqYDIIER+xFQE5TAlGcjrNJTf+bp6fwY9W4YVK+DIURebtnjcGzZQZPduvLt3w4wZ0LkzTT0e3vN6WSvCNYiUROQORJ5CpI/jhZOEk6I0FyhLeAEPTKXJnLtRymFU9YSqfqOnVt0WYQQmMBFDp6nqbGffdZi0tWsijDU7XEq0E9l3AUERIuEEPIcEzApvCSBWRFyYyov5PsVClX2qDMd8zjthvBWnA2tFGOCkBQYiVUdixLpYYOlEkWlqxOSHgLZAjQOU4R5G0YSVzD6zD08OK8nq1XDkmJt1/xTlz41F2bk3hp074auv4PTrLqSPewznedbHCdoqKr8EC9hIvKxQBfN8ERqJd6CwC3gAjnA3EvhQhDpp7W9JlQsoRg068SKqY6yAl0H8chqm2MbHwEfABSEC3pmYCPVhwLOY6Dwr4GWdC4EzIceL3GRndVowkXgeUnr8WqKAFfEsFovFkm5UdZeq9sdEYm0AvgFmDzeV1f4AXsP4i5Vdx9k09fzO2JL38f5oF+s3x/DUU9C4McSEJCBWrAgdOsCnn+L65x9cHTtSBfjmft7el4iMw6wCjwa2I/KcCF4RemGioAIPQoqJADkE/Id5iFyP8R3JGc+R6PAgRkhFVfcAO8RU60NEmmM8DGtlcMzzgG3AKBFZKiIzRSRSZc5HgVnA48BzmPSaGapaYFLlVElQZZoqbTGf9dnAi5hU23dFONfsp+uBS+6Bid3hegkSklfTgEaeP5hcrhcTJsBfG2J49FFo0AA8nuTnO/106NgRvpjiZv0GN+e2q+YGfhThBZGI4rQl5ygP2MIimSOQOhss4tWkEKfShuEhzPXzc2chypI5HsNct5altaMlBL9cB/wONAfa4tOBSdFVfhH8chcmar8CcCE+fSlHKqgWTrph7k2X5/B5sjuddhPm3tqm1OYBrIhnsVgslgyjqn85qZOXuaFEF/BjKtACsI6zucyzgHINqvDHOi+9e4MrnVecKlXgiy9wTZwI77v7e/vIhwQZP8QAzwxm6A5MNOAsTNpijCouVYqpUkaV01WpqUpdVZqoku3VcKOBiDyJES2DDb07AT1FZDlG4JsHxGdwaA9mdfgzVT0fE1k3XUS8oTuq6peq2kxVL8cUDekEjBCRYSIySURezPAby8OoskaVe4CqwDOYisd/iDBLhOv/R2fPSFMEJolVNKS1Zx41LziNP9Z56d4d0utwV7MmfD3D5Ro9GlwunsT6Z+UufimOefixkXiZoyYQB+wIagv1yCvUOP54t2C+y4dHeTr5E788BnQG3Mkqp1pSxy8l8cto4GtgJtAQn/4Q1F8JmAKMwSycno9Pc1psKjyY9OSuwGe58LktAtlYQMfM1/ri5RGsiGexWCyWTKOqv5yEV2oFtZ0khps9U6hWvww/zPVSuXLmxvb5YPIUNx9zFx/QJ1nfIF4v0YTlDVXpo8p61RTm1gUOEXkYuAm4RlWT/AJVdaWqtlfVpqp6GyR5BGaELcC/qjrHGfNbjGBaM43j3sL45bQGqqhqV6CaiLTJ4PnzPKocUOUNjGh8Paby8bS/qbMdThVlOUpxuni+4rwLSvD9D14qVsz4uUSgTx+YMAEBBohwa/a8C0s6CKTs20i8zFED2IZPE0ParIgXhCrrgT7AvSLcHO355Cv88jQQKLxU1vEYs6SFXy7GZCZ0xlQtvR3fKV9c/HI9pqJ6M+AKfPoQPrVVlLOXS4DK5HwqLWR/Oi2YrJZW9m8u+lgRz2KxWCxZwo1JLQwwmOfY6K3HpMleSpfO2tjXXw+PPSYMcL3NBs5Kai/DoaLLaVYqa6PnH0RkEHAr0C64GIXTVzno330w0XE/ZvAUS4FDItLIGedCTGro1lTm1BX4U1VXY/zxAqvKiUDJDJ4/3+Ck2k5X5erT2dmgPyOTpcM9wnD2FKvGp//zUDztOs6pcuutcM89qMfDaBGqZm00Szop7/y0kXiZI5xgZ9Npw6DKJOA94CMRakd7Pnkek+Y5FHg+qLUYUD1KM8of+CUGvwwDfsakcTbEp/8L6i+FXz4ApmGKOTXCZxb0LNlON2A1Pv0jF86VEyLeQkzWzZnZPK4lg1gRz2KxWCxZJSltah/leMf1IENf8FA7mx5Jhg6FylVdDOfh0K4M3ZyIUCR7ZpS7iEg1jNdgWWCOiKwQkcVBu9wtIutEZD0mQuzGQBEMEeknIs8FjTVDRLY5m2tE5CcwhRowFeo+EJFVwLtAZ41QHVVEymEquAYepr4DKjjHlne2Czw7qby7NIeLBbb/pQofSB9eed1LtWrZc47hw5GyZSkKPJA9I1rSwEbiZY1kgp0IXkx0sI3EC89AYCPGHy9fXqNyBRP58yIwOExvw1yeTf7BL/WBxRirjfuAa/Dp9qD+QHTeTcDN+PSOZNF5luzDVO7uQu5E4UH2e+KBqVAcj02pjTpWxLNYLBZLVpmEqYjKh/TGW9RDnz6Rd65fvz4lS5ZMehUvXhwRYcqUKWH3j4mBBx6KYZzrLvZTNtC8F/gzrYmJICJcLcIvwC4RzsnIG8sLqOo2VRVVra2qTZxXi6D+oapaV1XPVtWOqro1qO89VR0ctH2tqlZzxquqqq2D+paqagtVbaSqzVV1bipz2q+ql6maVBtVjXXO3UhVO6lqgU9vdjhIkOfMKO6hfFnltttSP2j//v307duXqlWrUrJkSdq1a8dff/0Vdt/ixeHBB/F4PPQXIYuxfZZ0EIjE2x/VWeRfQiPxwlWrtTg4/ng3Y9L0rT9eOIyA9wrJvWADxGFFvJT4xYVfBmKi7GOBpvh0VJIPm4nOewkTnfcX0ACffhG1+RYOrgAqYu6Zc4Ps9cQDnOIny7EiXtSxIp7FYrFYsobqUaA3EDfT3YFON7kplUqi65o1azhy5EjS6+WXX6ZChQpcc801EY+57TY4nliU+VwcaKoATI60vwhuEW7BrDB/h7nhKIN5oLRYsovzgaTiHzO919LlVi9F06g3eeedd/LPP/+wcuVK9uzZQ/369WnXrh1Hjx4Nu//tt0N8PCWBC7Jx7pbwVAAO4tOMFoexGLElVMQL+GradNoIOP54dwP3idA52vPJg9wGKUPxHdxAo1ycS97HLzUwFdVfxUQvXoxP1wX1N8BE5z2Aiai/Fp/uCDOSJXvpBizBpxty6Xw5kU4LJqW2VQ6Ma8kAVsSzWCwWS9ZRnXyMYq0W0TK+5UUZ87sdNWoUvXr1omgqykeFClCnxkkW0yK4+TpErghuEKGoCHdj0pMmAfWdLneGJmWxpI9hOJ+tk8SwIr4BLVumfsDRo0eZPn06zz77LBUrVqRo0aK8/PLL7Nixg6lTp4Y9pkYNKF+eOEj+B2DJEcpjU2kzSzmMH2awYFcDEy21Myozyieo8imm4voYkSADWAvAMozopEBoRU8XphCDxXgG3o4pTlEFaIlPn09akDDReYMw0XkngSb49D1b3TcX8EsRTMpybqXSQs6k04IR8RrhlxI5MLYlnXiiPQGLxWKxFAxKcGwjCXjq1En/MT/++CPr1q2jX79+ae579jlutmypkaxtO5XvqSrscjYvBV7CRNwFCF2sqimSJOxZLJnmLsZUGAOXB7Z3cgZx6uXss9M+VlXRoOemwPayZcvo3r17iv1FoG5dWLQozWrBlqxTAVvUIrMEvqC3hLRtUyUxzP6W5AzERI1/LsLFqjnyAJ7/8OkaoCV+KQ/0wqTWHuVUQaXa+MWLr9DYOKTELxUwRVK6AO8Aj+M7VcUev9QExmKqow4FXrbRxrlKe6A08HkunjP702kNCzGLl82Bn3JgfEs6sCKexWKxWLILF4A7AzFvI0eOpH379px5ZtqFrjxeISEkoO4HruyCuWlNL2MysK/FEpE5tEm2nejoxWl9/kuUKEHbtm0ZPHgwEyZMoGTJkjz++OOoKocOHYp4nDOujSjNeWwkXuYJiHjBVa1rYv3w0oUqxx0biN8wQtWDUZ5S3sKn+/BLSWA75nN1AdABOIwx2y+c+OUazL1NAnAVPp0V1CfA7RhhbzsmOm9pNKZZyOkG/IJPt6W5Z/aRU+m0WzCfpVZYES9qWBHPYrFYLNnFIRESduxIn9Cwfft2vvrqq4gphCn23xLPWexJ1laPtYOBL4OaGmK8hdpgbupDr3M9gV/TdUKLJRV2c5qcJObbIsRWAyjvBG/tSIez0IQJE3jkkUc4//zzSUhIoE+fPpxzzjlUrFgx4jHbt6MQ8gdgyQlsJF7mqQnsxafB5o41sH546UaVtY4lhF+EuarJrm8WUwRkshNFtsh5FU5MOuNwoB/wKXAvPt0f1F8Rk6J9E/A2JjrveBRmWrgx/08dgUdy+cw5I+L5VPHLQmxxi6hiRTyLxWKxZAuqxBYtypolS2iUVnVOgNGjR1O9evVUC1oEOHECVv7hZSBLgps3X8iSV53qfgHWAJ+JcC7wKGYFWjl1vftHlTXpe0cWS2qUBIl9DhgNUIZDnB2zmV9/rUXHjqkfWalSJcaNG5e0/d9///Hqq69y5ZVXht1//37YtIkYSP4HYMkRKmAjxzJLOMGuBiayzJJOVPlUhDYYf7wVqmyM9pzyBH45DzgXI1oVbvzSEvgEU+30Vnz6WUh/B0x0XhzQDp/OzvU5WgJch/Gny+3qv0XJmXRaMCm1j+MXsZ6K0cEWtrBYLBZLtqEnT/48bWpCQmIa7kfx8fF88MEH9O3bF5cr7UvRzJkQn+CiFQsCTauBtqiGvUFR5U9V7gLOBEZwajXSegxZsg/VD4CngFiAS2Ln8PWXcaR1S7t27Vr+++8/AP7++2+6d+/OFVdcQdu2bcPu/803IIJSmKNOco/y2Ei8zJKsMq0I4arVWtLHg5jf22cixER7MnmEmzEFUuZHeyJRwy9e/PIc5newCWiQTMDzS0n88h4wA/gBaGQFvKjTDfgBn/6Xy+fNqXRagAUYATkDLtiW7MSKeBaLxWLJHkRKL6DVpZu3uN3Tp6e+61dffcXevXvp1atXuoZ+bXhiQgP3nxvPZPNQTKpsY1Q3pHWcKltVGQhUBS5VLcQ3/5acQXUY5vN179V89/GqP7389FPqh8yfP59mzZpRvHhx2rRpQ9OmTZk8eXKE4WH4qxrvcjFZldx+CCiMVMB64mWWUP+7cNVqLelAleMY0eo8jD+exfjffolPE6I9kajgl3MxEVCPYETe9vj036D+i4AVwC1AN3zaPVl6rSX38UsZjG9jblalDZCTIt4yzOJlqxwa35IGVsSzWCwWS3bx7Pksa3yd6xseHRjHsWORd+zcuTMnTpxI1QMswOTJ8PMvLvfvCef2QfVZVH9KVtozHaiyV5V5GTnGYkk3qntQHdlVJ/X0epn/wAPEn0zl1rlnz55s27aNY8eOsXXrVl555RWKFi0adt9x42DFSvGMSOi3NodmbwlgTOBtYYvME5pOG65arSWdqLIW6As8KMINUZ5OdPHLOUAD4H/Rnkqu4xcXfnkAI5wo0BSfjsCniU5/DH55AZgHbAAa4tNJUZuvJZgbAAGm5OpZ/eLBFMLKGRHPpycxn0frixclrIhnsVgslqwjEgP0AhiZ2Jdd/5zgwfsT00wrTIt//oGePYkX4SNVfsyGmVosOUpcHHf9+Sfxjz+e9bHWroX7+8cziNfox/tPIHJu1ke1pEIpjH+mTafNKH4pAlQmuWAXrlqtJQOoMhH4EPhYhLTLuBdcugD/Ab9EeyK5il+qATOB1zERma3w6V9B/edhovMGAQ8QGp1niTbdgO+iEBFZxPmZU554YD53VsSLElbEs1gsFkt2UA4oDVCdbYxJuIMxH8OggUpa/niR2LABLr2U+OPH+VuVAdk3VYsl51BlfUICd7/5JjzzDJkWstesgSsvi+O8uJUM40kw92z3Zd9McwYRKSIiI0RkvYisFpEJTntREZkqIutEZKWIzBKRNP10RGSsiKiIlA1q6+GMvUJElotIhwjHdhCR353X1UHtPUXkyTCHlHd+2ki8jFPV+Rks4tUE9qhyNMz+lvTzILANmFSI/fFuprCl0vrlVoz/bw2MeDcEn8Y5fS78MgATDZWAic571xYZyEOY6sDtiF4qLeSsD/QCoCF+KZ2D57BEwIp4FovFYskO9gMHAhs3MpWJ6uPddxK46op4/v47/QOpwscfQ7NmxO/cyR9xcVyuypHsn7LFkjOo8gnQ58UX0euuI2FLBpIJExNh1ChodWEcNfcu47v4thQxdTMAzsmB6WY3L2NSvuqqakPg4aC+0UA9VW0MfIWJMIqIiNyEqa4Y3FYeeAdop6pNgPuBsRGGeA7jR9QBeNE5/nRM1epwPmMVnJ82Ei/j1HR+hqbT2lTaLKLKMU75470c5enkPn6pCzQi96t7Rge/lMcvnwF+59UUn/4a1F8dmAUMB14CLsan1m4h79EZ4xs3LQrnDvhz5KSItxCTKnxhDp7DEgEr4lksFosl66jG7qX8hOCmbkzi58RL2Dn/bxrWT+De/sqyZZGHOHYMxo+HFi2I79kTPXSIUXFxXGzN/C35EVU+VOWKWbPYUq8eCQMGwOrVkfc/cgQ++giaN43j/nsT6HfsdWYntKbcKW0cIE+nSYlICUxa/VPq+Faq6k7n5wlV/UZP+VkuAmqlMtbpwJOYNLFgXJgHh1LOdllMlFI44oDiQAlIUkLfAB5T1fgw+wdEPBuJl3FqYB4Yd4e0WREvG1DlL6AfMFCETtGeTy7TBdgDzI32RHIcv1yNib67DLgGn96LT486fYJfujv91TDReUOTovMseY1uwHR8Go1F6JxPpzVp21uxKbVRwRPtCVgsFosl/yNCw5Js7jSTq05cxKIkh/6WLGZZfCNG0p9RHz7AyFFnUeW0WJo0c1O7rhuPBw4ehJXL4hNX/+EhLg51uZgBvKjKkii+JYsly6jykwjnxcXxwMiR3P/WW1Q7/XRiL7gAT+3auNxuOHAAVi45ye9/eSAxkRt1Ch/rCzQirOL3Xi6/hYxSGxPF9qSItAWOA8+q6g9h9n0QE40XiQ+AR1X1sIgkNarqHhHpBywTkX1AMaBthDEeBcY5/x4oItcBu1SDolqSUx5IBA6mMi9LeGoAW5PM9g01MWKtJRtQZYIIbYCxIjRVZXO055RLdAGm4AsrvBcM/FIcEx18L6Z4xz34dG9Qf3lgFKby7AjgMXyaSvkwS1TxSxXgcsxnNxrkRjotmJRaK+JFASviWSwWiyVLiHAt8NkRSi2/n3cu/I3mVwF3YB7qdscQV3oAbzV4MO4tFtCK+bsvZsX3TVn6Y23i8VIy8RCVEw6tXMr1I4AZ8fHsiuobsliyEVVOAK+IMBy4dNcuWn3zDc3qeTdeXloPnlY68QCXJazgAVZwLTOoGDkI7DVUF+TezDOFByPc/KGqj4tIU2CWiNRX1aS/a8ePrg5wZbhBRKQ3sEVVUxSzEZEyGAHwQlX9U0SuB6aIyLmqGhu8r6r+ArRwjisFfAO0F5EBwMXALmBQ0HEVgP0hQpQlfdQkeSotmGvA51GYS0Hmfsxn+jMRLlMlNq0D8jV+qQ00BbKhVFAexS/NgQnA6cBtgD+Zt51f2gNjnK32+PT7XJ+jJaPcDBwBvo3S+XNLxFsIPItfXPa6mbtYEc9isVgsmUIEAQZgfFnGA/1+0wtOgo53tgM73gGME+BiFnAxjg6RPAGkP6o2YsNSYFElEZMOZlLCpPZFQFqi3PFtVF17L+82mUan6YGnOhHOB9yqRIooixZbMJFsEwFUdbmIbAIaYgQzRORh4CagrWrESJI2wGVO5FyAVSLSCRPtd0BV/3TO8bWIjMGISOtTmdswjC/eGUAnVW0jIkOB7sDHzj7lsX54mSVZ6qwI4arVWrKIKsdEuBn4DeOH9lCUp5TTdMH8Tc6J9kSyHb94gaeApzHXhbb4dGtQfwlMdF5/YBLQH5/a76f8QTdgKj49HqXzBzJicrI6LRgRryxQD/gzh89lCcJ64lksFoslw4jgxaT2vQY8AfRUjbji9xmwNJXhvrQCnqXQobqQU6me4fgM1eLV2dZsGp1mACNFOFeEzzEP8ItFkm7U8wSqugf4AbgaQETOBM7EubkXkUHArZiiFAdSGae7qlZX1VqqWstpbqSqy4GNQBMROcMZ8yLMovTW8KOBiLQEyqjqdxh/vIAemgiUDNq1AtYPL7OE+t9Vc36GRudZsogqfwL3AINE6Bjt+eQwXTBiSMHyffNLPWA+8BhGiG0XIuC1AJYDPsCHT7tZAS+f4JczgZZEpyptgNyKxFuBEQptSm0uY0U8i8VisWQIEcoB32HSPjqr8ooqGvEAk6rWFhgfhychqOcQ8Drmod5iKYz0xDzAbUxqKcEBuhLHaJ4AUEVvaj75nXIl9tUF1gA3Bh1fJjcnm076AY+IyGpgKtBXVf8VkWoY0b8sMEdEVojI4sBBIvKc43WXKqq6DBNR96OIrMT4Q92iqmEjDkTEC/wfTsSSqq4CNorI75iIv+CCPOWxIl7G8YtgRLzQyrRgI/FyBFXGYyJIx4okVQYuWBgx5AKMR1zBwBSnuBcj0LmB8/HpW0mpiH7x4pehGIFvC9AQn34atflaMsMtmOjRWenZWUSKiMgIEVkvIqtFZILTXsG5TgZe60Qk3qnQHjpGSRH5XkT2iMgBgkS8MH2pzeUZEVkjIotEpGZQ+1gRuTjFAT6NxSwqtkrPe7VkHzad1mKxWCzpRoSzgemYaJZLVFmergNN1E2PqvJf3Wv4du847hwO/ErkdDqLpeCjmgi8jsgbGNFDeImdVGAV8MYLNz993zlV//JP6D/jsiMnSlLpnt2Q/N6tDOQtD0lV3YgRx0Lbt2GqykY6bnAqfRKy/RbwVjrnE4cxGA9u6x1hdxuJlzkqYgqMBAt24arVWrKXUH+8ghWtBp2BA0AKb8x8iV+qYrzt2mJSoZ9zRJBA/znAJ0ADTFXuEdZnLF/SDfgiA9GjL2Oiw+uqqgaizFV1L9AksJNjRXG5atiIzDjMYtU+4CdOpdOeBBJC+sIiIqUxi/PnYWwm7gceFpF2wDFVnR/h0IXAtel4n5ZsxIp4FovFYkkXIrQGvsREDbVRZXsGj4+BSk3G0+PecdrjpxyYosWSP1FVgqOY/DIAmPHQta919LrjXB53AsViTuBxxxGf4A0+smyuzrPgUwFYF+1J5EPCRd3VBLY4XpCWHECVo44/3hKM5+MjUZ5SdnMzJpU2/xfv8EtXTHXZvcAl+HRhUJ8L43v3Kibauhk+tf5i+REjxDbBiLBpIiIlgF5ANTX3Aajqzgi798LY16RAVU9iotNrOU1JkXiqmhDSF4kETHSoF7NQHysixYFngOtSOW4h8Ah+KYsvsk2GJXux6bQWi8ViSRMRemFSA34ALsuogOfQCLM6aP3vLJZw+MWFX7oDowGKxZxwedynMtBLFzsUekReTKfNz9jCFpkjkHYV7EsY6pFnyQFU+QMjAD0skuqDdv7CLzWBC4Evoj2VLOGXcvhlIsYf7XOgaYiAVxVjT/IWRsS7yAp4+ZquwE7g53TuXxtzzXlSRH4TkV9EJEXVdhFpBZTDZMKkhyJAPD5NSHNPB1U9irG4WQR0wnwmnwNeU9UUNx9BBD7PLdJ7LkvWsSKexWKxZAIRKSoiUx2PipUiMktE6gT1Lw7ysfhdRFREGqUx5lBnvyZBbWG9MsIc28E5z+8icnVQe08ReTLz7xO3CK8CH2LC8buqktkU2JYYH7y/Mjsfi6WA8z3Go61KuM6yxQ+ENlkRL3ux6bSZowawC18yX0Ir4uUSqozDFMkZJ5IUFZnf6QwcBGZHeyKZxi9tgdXAlcB1+LQfPj0S1N/N6T8TuBifDi5wBTwKE8YbtBvweQbEMw9mEeQPVb0AeACYJCKnh+zXCxivqvHpHLcomShqoaojVbWJqrbHFCeqBnwnIu+KyP9E5IEUB/l0J7AJ64uXq9h0WovFYsk8o4FvHQ+L+zBCV2sAVU1akRKRLsAQx1A9LCJyIdCclJX8wnplhOE5oIPz7y+B752bgNuBdhl9Y2ZOlAQmAu2BO1T5JDPjBNESWGzTqyyWiOxPrbN8iX1HNlK7KOb+TbHptNmHSWkrh43EywzhBLuawIIozKWwci8mcu0zES4vAP54XYBp+DSnq2tmP34phrl3ewCYDPTDp3uC+ssBIzGCz3vAw/j0aBRmasleGgPnYApWpZctmCrpEwFUdbmIbAIa4vjdikhJTLGM5hkYtwimamymEBEPMBxTeO42YLeq3isic0RkuuN9G8xCbIXaXMVG4lksFksmUNUTqvpNwMMCE35eK8LuvYCPIo3leE6MAPqGtAe8Mp5Kh1dGHFAcx8fCaXsDeCwDK3dB56Y6MA+zsnZlNgh4YEQ8m0prsUSmK+ameR+Q4u/2wz69b+dUNVUBzs69qRV4ymJ+pzYSL+PUJEjEEyFctVpLDqLKUYyHXBNM9eb8i1+qYwSBLwBE5GwRWeBkPiwRkfqRDhWRXk7mwgYR+cCpTp1mX8gYP4lIrIhUCmo7S0QSRWSqsz1HRG4L6n9aRE78/YZcBCwD7izXhx3u2xgVIuC1w0TftQauxaf3WAGvwNAN852X7vtcVd2Dsam5GkBEzsREZganVHcFVqpqRrJYipCJSLwgHgL8zjNHCcyiIc7PEmH2Xwi0wC/uLJzTkgGsiGexWCzZw4PAV6GNIlIdUxkxbBqswyvAKFXdGtKeLq8Mh0cx6TRjMdWkrgN2qeqvGXsbIMKFwK8Yc9sWqszL6BhhxjwN836siGexRMKnik8/w4hzY5zWpMjVxjVXiSp3YaobHgbaOIKJJeuUd37aSLyMEyrYVcSkc9l02lTIbnEKZBqcvwTiHhFJWS0yK+KUiBQNavsrlXuR7OAmzPfbTGf7fWC0qtbF2HqMDXeQI4A8D1wK1AFOB+5Oqy8CqzCZDAF6AkuDtufgZF4ACFxRowK7t+7lF2DnS9O48sAxyicqpqKnX4rjl7ed97QIaIhPv0n1t2DJP5xKpZ2EL2lxP730Ax4RkdXAVKCvqv4b1B82EEBEnhORfkHbqzBiWunSvXj25rcoHa5PRLaJSMSFeRGpjflsf+g0TQCuEJHfgfWqujrMYQuA0pjKtpZcwIp4FovFkkUcz7k6hK8adScw3VltC3dsO6Cmqn4cpju9Xhmo6i+q2sJJ410NPAY8LSIDHB+LESISk/Z74RZgLrASaKVKaMh8ZgmkFy/OpvEsloKLT/fj077AxZhqqYGHgjMAVPkBuAqTXtMtKnMseFRwftpIvIwTmk4brlqtJSU5IE4tOwjPLAbGOxH1oWRInALaACswkfSISGVM1sH8dL/LjHMz8DU+PeEIjhcAE0SkA/Ak0MQRPnsEDhCRjzGLjzGYFNYLMKmqtzq7dAGmOZFF/8N8t44QkbJBY1QRke8xacmVgcEicpqIuDDRUP6gOR4HbheR39vUl95VytHq6Rs5476P+ct9G7OfnMTZwCJVPYFfLsBE5/UA7gBuThadZykItMDcr3+W0QNVdaOqtlHVhqraWFUnh/S3CveMoKqDVfW9oO1GqlpZVV2HPuKN/z3ItnB9qlpNVW8PHS9o3w2qek1QBtA+Vb1cVRuoat8Ih60CjmFTanMNK+JZLBZLFhCRhzGrxteo6rGQPgHuIpVUWuAKoJmIbBaRzRgT2W9E5HrCeGVgzGMbpjGtYZh0mjOATqp6M+bBtHvk94GI8AwwCfgAuE6Vg2mcJyO0BNar2gdkiyXd+HQBpqrz85jvgisCXaoswvytvi5iC1xkA4FIPPsdlRGM/1clkgt24arVWoIIFqecpslAdQkqkBVEkgDlPFiHFadO9Q1PBP7D+OOFpoyOw4hJRBCnkkQ8Z+HvTMz3TGunvzUBcSonMNVaL8YIbQDVgR1AAuZ3dSewHBgCvC8ipZz9pmDuX14DXnKO38wpQTk4WvQ9TPXNUBIw37W/YjwG9wMfYxZMfiO5Z2k3IHHUXUz/dx/vN63F8YXrueOP7VRLVP4PaONx8RN+GYyJgNqOib77JBORWpa8TzfMgtuKKM8jQJY88TKMT+OBJVgRL9ewIp7FYrFkEhEZhLmRbqeqB8LscgUmmm5WpDFU9QlVraqqtVS1FrAN6KCqX6fTKyN0Ti2BMqr6Hcl9LBKBkuGPoSjm5ngIcK8qD6im9OPKItYPz2LJDD6Nw6dDMJE3N+GXpkG9T2C+Y56PytwKFhUwPoRH0trRkoxAtFdwOm0NYJdqLj5E5j+qAzsCnrWOALcFwlaXDU1X3kx4ccrpS6iGiWZrSsrvhq3AThFpQXhxajFQxbECaYkRtH7CROTh/Pwxne8xM9yE+Rv8PkxfcDGfEhjB/SSAqk7j1P3OIqAqENafS1VnEyZtXlV3qWqwfcgUoBkmnXFM8L4xHrR+NU4cOMaj/x3iyOzfefrjuVzvzN0T46HdtIe4GRM5+CjQFp/ayNSCiPGBuwX4LA8JtFn1xMsMC7AiXq5hRTyLxWLJBCJSDbPiWxaYIyIrRCQ0VbQX8LGqJoYc209EnkvnqdLyygge14tJyXkIwKmGu9HxsWhDGF8+EU7H3JBfB3RQZWQ655VuRHBj0lOsiGexZJ6PMX9Do5xKqjiRrY8C94rQLJqTKwBUAPbmoYew/EK41Nlw1WotuYgqvwP3A4+JJFWuDzAGc3+SQpxS1VhMqmxr5/WTqm4Aqjm+eK0x0Xo5RRdgOj497mxvxaS2ujFRg18C52MKd/Vw5htgCyYK9EHgG4xQuiWkL0CtNObhcs5TFFN19IekHr90+e4x6uw9TMnBX3Dw4DH+PhFHAqaa6Nz+7RjlcVGrTX3igPPx6Rv4kt8HWgoUl2I+o5OiPZEgipL7It5CoB5+qZDmnpYs44n2BCwWiyU/oqrbIHVDeVX1RWh/L1y701crZHsjp1bA05pTHKaIRnBb70j7i9AQmI6JPrlIlT/Sc55McC5QCiviWSyZx6eJ+OUejLdSb2C00zMO8zA+SoSLVLEPi5mjPLaoRWaogfEHC05DromtTJsWW4HKIuJR1XjHfiOS+LkFUxgqQC2Si1OR+sZgRLfxIjQJ2mcqZsHvJEacuiPkfHMw9x1nAvc4bYsw0X1VySlvW7+cgRFEbg40qep/IrLMmeMdwFuYVNh7gGki0jDIc3gyxt9vLyYl9wNOeZRNBuaJyLMYsS2pIEAE+jrj9AGOqmri6WWk2FmVaAZ0anMeH5Yuxmc7D/Ix5ruj+9RB3DliJr+M/5nKMR4ODfuKi5/70laeLQR0A1bh05y6h84MuZtOawjc47cEZuTyuQsdNhLPYrFYCiFO5boFmAetFjko4IG5oB/HFNywWCyZxaergLeBl/HLaQCOaNcfEzXSJ4qzy++YSDxLRjGCXfIIRhuJlwaq+h9GkA9Ugu0MbFPVv8PsPhnoKCJnOGJfP5KLU2H7VFGM2LXHtIk45z4BDAQeCM0UcJiDqYBdU1X/ctrmAs8A80Oi37KTm4Djkw6nsCDpCwwAWmEEvLtUdQnGfmS8iHR09msOxAJezP3NbkzxkMCC6BBMlOHfTl8k6mAqLHdV1cmq+h1+aTO0Cy+UL0kloCM+7bNuJ3OBckDcI9fy87lV+G3PYcofOQkHjrHk+SncksXfhyWv4xcvJno0wwUtcpjcT6f16W7M35ZNqc0FrIhnsVgshQingMWDwDTMzX87VXK6SlpL4DdV4nL4PBZLYWAIRhT/v0CDKqswESoviVApWhPL59hIvMwRTrCzIl766Av0FZF1wOOYQlgAiMiHAXEqggCVmjj1fmAcVY5gItvOh7NrnWrXLx3v3HAswYhTvwa1zQXOJgf98E4kcnOvXfzTfZd7owwVnwxNEh3XAu0wosTtqrraKQBSG+inqtNE5BbgBeBCVa2pqrVVtZeToYAzzgdOe21V7RVuDiLyNmbBsZWqxuKXovjldeDHflfy84xHqI5Pv3bGi29UgxvbNcDzio8n/9nDD79vZbGqCvALEXyILQWKKzELQHkplRaik04LRjxvFYXzFjqsiGexWCyFBKdK3UjgTeAp4C7VXLnI26IWFkt24dPDmKiUu/DLJUE9zwLHCBL3LBnCRuJljmSCnQiBarU2nTYNVHWtql6kqnVV9QJVXR3U19sp1hDYTiZApSZOBfeZflYD98PaGpCyqqyqjlXVG4K241W1lKp2C5mrqOrLgTYZKrVlqDwsQ6VIVn8XHV6Vyy/619Paf7TIOdfXvb4CMNEt7i9kaCDiWHdhivt8LiIrMUUn7lNNKhYxESNcfOV4FK8QMd5coT7EIjJDRLY5m2tE5Cen/WLze6IWsLhEEVl79cv8h7Ev6Anc5EQbAbB3tLQrUYTpn/SnJHB9u5e0S3wi61PzIbYUOLoBv+LTjdGeSAjRSKcF44t3IX6xlm05jBXxLJZCjIi8LSKbRURFpElIXwcRWebcCP0uIj0ijFFLRBKCbppWiEjtoP7rROQvEVkvIl+KSOkI44x15tE0qK2UiBwRkRXO9sci8nRQ/23OMbWC2r4TkbArrIUZEcoB3wI9gM6qvOyk2uT0ecsA52FFPIslO/kCmIkpcuEFUCUg7t0pwqXZcZI0rhEzRWSV853/S/B3d8h+FwVdG9aIyPsipx76RaSXc33YICIfOAV6wo3zk4jEikiloLazRCRRRKY623NE5Lag/qdF5IRjyB9o+0tErgxzChuJlzlC/e8C1WptJF7e4iOM0PWJCFWzMpAMFZGhco9b3GuAV70u7zIZKo0zOZZbhsrjM4+7fixavgkr71klU7pN4fvbvqdi8YodPS7PXzI0KSLxU1VtqKqNnZ/+wDiq6lXV6qraJOi11+l7T1UHA4jI2Zgow2OYyrxXqWprZ7/5qio6kQY6kUlv3kHtP/7FG3MH+6U7raS74yXvl2KPd5SZLQczc9Nu4usM4nvpbqrpOuJrA1Vtrar7c+F7yxIt/FIUuJG8l0oL0alOC0bEKwE0iMK5CxVWxLNYCjdfAJcQsmLu+KpMAO5U1SaYyqXvi0ipCOMcDrlx2uCMUxJz43iDqp4NbMd4qkRiKWa1M0BX4M+g7TkYk+YAbTAGy62d83mc95Nj6R75ERHqYC6s5wKXqvJlLp6+OaYAiBXxLJbswviP3QfUBR4I6pkMfA+MdCJvs0rYa4TDLarayLlGvA6MjTDGSqC5s19DTJRWfwARORN4HmNmXwc4HRNtE4lVwO1B2z0x140A4a4RKzDRwIhIZUyUzfwwY9tIvIxiqiQHVwCF8NVqLVEmyB9vH/CpSOaKG8pQqe5xeWYL8u6jFz9aZE3/NZxf5fy6LnEtlaHypAxNfwSODJWzvS7vQsbwUpHXi7rabbuGuhXqAuDd4qXG/2p4yn9Wvjxj+crV1zVZhkqZzMw5hPeB0apaFxO1PDZZr19qAz9v/I9nB03gaEIiteMSqEXgu8kvzdbuYOW4n2n7SX8e7HsFpY6coAzR+96yRI/2mKJtn0d7ImGIloj3O3AEm1Kb41gRz2IpxKjqz06V1bDdQFnn36UxDzcZvSBcAywPMkYeCdyayv5fAtcFRWnchamuFmAOcJGIxDjblwAvcermpzmwR1U3ZXCeBRYRLscInUeBC1WT3TjmBi2Brapsz+XzWiwFG5+uB14GhuKXapD0oH4fxrvqwayeIrVrhKoeCNosA+Eje1X1WFB6XwxQLGjfLsA0Vd2pqgq8R+rXiHGYaGJExIVZ6PEH9Sc9DDvXiTMxFSpbO/2tgUWOsX8oVsTLOJUw/6fBgl1NTJST/V3mMZxo3Zsx90pDM3KsDBWR0rKW/+OfkvNLtl7Qa4EMu3IYxY8Wh4/w1JpSy80HvOhe614jQ6VeOsZr5BLX6noV6zWdOWUm7775Li459Vhap04d5v40l11rdvH040/jXey90S3uNVlJ3XWi4S7gVJrrZKC6iNTBL4Jf+mAWHUp1ep0RR07w6fb9ul1VtVgMo2udxiPA4rFzcccn8mnLwfr2s5Oj/r1liR7dgF/w6b/RnkgYouOJ59MEzDOHLW6Rw1gRz2KxpMB5mOoKfCki/wDzgB6pVCQrISJLnPTbwSLidtprkDyCYzNQ2YmYC8cxYBZwg4icg4ngSorEU9WtwA6ghYjUwKwoz+TUik8bbBReEiL0xPw+fwIuUyUaNxrWD89iyTleBnYCbwQaVPkbs7jxrEhSamOOICLjRWQrJpru9lT2q+X4WO0BDmIWdCD8NaIGkdkK7BSRFsBVmHS4/UH9i4EqIlId893zK+b7r43TH/4aYVKSS2PTaTNKTedn8P9hDWBLbtg1WDKOUwTnQeBJEa5OzzEyVE5zi3sqvanbtl9b6d+8v6tltZYAVKtWjfnz5rNh+Qa++fIbvL9467rFvUqGygOBwhQR2CAI91xwj6dds3YpOqtXr06xYsUAaF2nNZVLV8Ylrq06RLMiTFQHdqhqPCTd62654EwaY4p9vY/5bmr++1ZiCHyu/VLn52d4PiGBmsATr0zn2z2H+T1o3M1E43vLEj38UgK4nryZSgvR88QDk/ljRbwcxop4FoslBY7I9jRwk6rWxFRf+kREKobZfQdQVVWbA20xaVEPZeH0Y4BezuvjMP2BFcvWwFxVPQ7856RltXb6CzUiuEV4BZPKPBy4WZWjUZiHYEU8iyXn8OlxjBF7F/zSPqjn/wgR93ICVb1DVatjrhcRC2qo6mZVbQycgXm4uCkLpw2+RgRHauMsNM3n1DXiJ8feoZrjL9Wa8NeIcs5PGz2WMWpgoir/DWmzqbR5mw+AT4EJ6fTHq5ugCR0/vO1Dujfqjtd9KlPf4/HgcpnHydM9p9O1bVcur3V5jMflGZTagDpEjyr61cRVE+NT2+/w4cM8/sTjbG+0PTEuMS7bC0VUKEm5F27hI4yHV2t8+ig+IxQKgF/6AitcLortPMhOfDo8MXMCdU58b1mix/WYa9nkaE8kAtFKpwUj4tXGf8oH0pL9WBHPYikkiMgdQebid6WxexOgiqr+DKCqS4BtQArjclU9qar/Of/eh7k5CZiqb+HUSj0YT4+kVdBwqOoioAomTD3cCtcczKpkG8xKJcBczOrmxURarfSLF7/cjF+qRDp3QUCEkpibigFAD1WeVCUxStOpjUlRsyKexZJT+PRbzN/8u/ilGIAqJzBptZ1FuCY9w2TwGpEMVR0HtBGnGmQq+x3BfK93d5rCXSPSEoCmAlcDjYEfwvSHu0YswqQRVsVEvYRS3vlpI/EyRg1gB75kUfqhhS4seQwnSrIvJhrMnw5/vIVel3fH+n3rw3auXbuWiy++mKuvvpobb7yR1btWx8Unxn+iQzRVsStRE/0Lti3wbD24NWz/8ePHufHGG2l9R2viT4sX4H9pvjkHGSrhnnG3EsgG8UvpxAnyscdNnXIlmAU0xmfueQEql2X/Tc3pB4wCRlz5Io/GJbDB6c4r31uW6NEN+AGfef7Jg0QnndYQuOe30Xg5iBXxLJZCgqqODyo8ES7CLZjAjc65ACJSByPIrA3dUUQqBaoJOl52NwHLne7vgGZOaiwYM/P0hJ4/CDysqofD9M3BRHddjknzBSPiPQT8qxrRm2IA8DniGYM/1RSPfIuTOjcPI2Zeocr4KE+pJRDHqc+DxWLJGQZijNcfCzSo8h2mMMUIEYqlNUBGrhEiUlbk1IKIiNyAiWJLIYKJSJ2ga0QMpprfKqd7MtBRRM5wCir1I41rhOMLNRB4QFXDLVDMwUSF1wzyY52LKao0P4ItREB8tJF4GSOcYGcj8fIBQf54LYBnU913iCbGJcZ98smqT+I0jC5Xr1495s+fz8KFC7n7nrvZfWy3FxPplxbfFXV5Tn6+JmVdgNjYWG666Sbuuusu1lZYm+B2uefokLQFE6dy7q1ucW+RoXJPcEqvs+C8rENjngdWTVrETXEJbLjwGb0Znx5KGsQvN819hvt+WUvVacu4UbrzxIFj9ObUd1Ne+d6yRAO/lMV4fufVVFqIZjqtT/cBf2FFvBzFingWSyFGRN4XkW1ANeB7EfkbQFV3YSptfe74GE0B7lPVLc5xz4lIP2eYS4Dlzn7LMClcLzrjHAZ6A1OdsathvJNSRVV/UNVJEfp2YB4Q/nOiOgAWYIyAI0Xh1UDcz1P1etD4qzEPkfkSEUqKcJlI8u9vEZpjfFRigBaqSQJnNGkJrFDleLQnYrEUaHy6FRgCPI5fzg7qGYApPvB4ZoaNdI3AFLKYKiKrne/++4DrHI8pRORDEeno7HsFp64Ry4FdONcBVd3ozHs+8DewG+NLlSqq+qWqfhehewkmPfbXoLa5mGIfkXylbCRe5kgm2DnXpdBqtZY8iiorOeWPd1Uau3+2/fB274b9G5I1njhxSicoU6YMse5YYtwxf+kQ/SPN8w/Rk1cVi989bNALvPrqq4wfP562bdsCMHr0aBYuXMio90fx9ZNfu+Pfj0/zmVWGSkW3uP8H+Nuc2aaKIO96XJ7ZMlSMN6hfisx5ir/3HeXxavdRscd7bNp35NT9YPEYGTfyLvkBmHz2GUxJSGRgp9d4nZDvpjz0vWWJDjdgsq2nRHkeqRHNdFqwvng5joRbUbFYLJaCxJIXPD88/Jm3jVRoLnpoLQtW/cfdV1Dj3VkaPocjDyPCq8DDGE+bvqqoCLdgqp/9DNyiysFozjGACL8BC1R5INpzsVgKPKY4wzJgO9AeX0BQYxCm0EUDVcLnwxU2TDXfa4GJ+PQIfrkTGIVP04xYtAThl2XAbHz6KIAIlTGfvzaqSSmBljyM413rx3gfN4lUSV6Giri+cB0qe6hsyTLuMpx11lnMnj2bWbNm8fzzz+N2u4mNjWXluSsTjlY/+owO0ZfSPLlfys08yn9Xb8fzdvu3KVWkVIpdlm5fysjfRsYnauJpOiRZRezQ+V3vcXk+rlCsQpnxN473XFX7KhZtW0T3L7vHbTm45WTLmPiX51ajq0s4C7O48VHgO9KZS2vMfVQxoA8+/SrN+VsKJ375DjiJTztFeyoR8ctR4H58OibNfXPm/L2Bt4Ey+JKq01uykbQ8ECwWiyV/45eOzc/iirmzv4Mz2jJ31lReeayLvntXwgCyVoAj1xGhOMbHBkyE41ER9mKiWkYAA1VJ1SQ6t3Dm2hh4PdpzsVgKBT6Nwy/3AL8AXTjlH/UOcCfwrghXF/qqoX4RxPMBGt8eqAM8gkmntVF4GacmyaPuAhU6rSdePsFZCOwLLMX8dbQNdx+hQ1QFGS7F5Kl1D6/zelzmEbJdu3a0a2eqy36z/huu9V/rJv1phh3bFEe94t4+8NuBp6O4caeMHhJkeiQBT4ZKGZe43mIMPdz73dz5wJ1cVdsEFdYuUpvyE8p7t/2xzTuvLS9cdbFrX5cSiW369dclSQP4pSjwAjAI+Boj4OVVnzNLtPHLaZi054jV2PMI0axOCyYSrxjmOeC3KM6jwGJFPIvFUnDxSwnEO4oanRM5o60LYNyn0+jR4y6Bjwbgl0/w6YoozzIjdANKOP8WzGqyAverMiJak4pAM8w1xha1sFhyC5/Owy9jgTfxy3f49LAqcSLcg/HLvBlIaUBVuLgBjW/PmXfApk8G4ZfxmHRa64eXEfxSEvN7CxbswlWrteRxVDnkRPQvBAY7r3B8tvf43mcrvlIx3iUusxiguEjEjZu4E/En3F6Xd3nsM7Gb0nnqm73CrLghCZ0xn6MPVPXp9M5bhkpZj8uzplRMqUr/9/H/4d3iZfPmzUn9ZcqUYcb0GYwcOZJjJY4x0T2x9H17dn1/z1BpqkP0H/zSBPgEU5iiDzAmWXSexZKSzkAsRvDNm/jFDbiJbjrtn8BBTEqtFfFyAOuJZ7FYCjLP4Io5nWZvuACOHTvG7Nmz6Xj3W1D+gkTE+wH+sBXM8hxOystAjHiXrAtImYMSfVpifGLSezNvsViyh0cxK+DPBhpUmY+pHP6mCKWjNK+oISL1RWSexy3zWw6WSb8ea6+0/JhXfqhCkydZcM7D9FywLqpRC/mR6s7P0Ei8HapYE/58hirLMfcYT4vQNuw+Q3Qt0OvgyYMD95/YP2j/if2D9m/fP3T/V/vZ/+f+Ucfjjz8YlxiXPvsMv5QBrsJEDHfDCMIjMzjtgy5xxd7e6HZPnyv6pOiMiYmhUqVKAJx32nnc1/w+j4i4O5dkF355HOM/dxBTmfYjK+BZ0kE3YBq+JE/uvEgR52f0RDyfJmIqKltfvBwiXzy8FgZE5G0R2SwiKiJNgtoriMiKoNc6EYkXkfJhxrg6ZN/tIrIsqL+FiKx0xvhRRKpGmMuzzjxuDGoTEdkkIgec7SEi8mFQ/yXOMa2D2t4TkTSLGFgsOYJfGoA8TNP/c1PsDACmTJlChw4dKFqsOLQY7VGNPx+TlpofaAk0IKWIBzBMhAdzeT5p0RJYVOhT9yyW3ManuzGFLB7EL42Ceh7D3Nw/G41pRZndwHXxn7Dwo3uKyYAP98i69X8z/c9KrqUvUOLT+9jT9yPOivYk8xk1nZ9bQtpsKm3+5T2MqDbR8TdMgQ7RMTpERwRevMML/Mq/jOM/p21BOs/VEZBDx5mGySr4XFXD+vFFQoeoxibEjv/090/jEhIT0tx/4uqJcWUlfsYXlZkNPIep/Ho5Pt2YkfNaCil+qQpcRt6uSgtQ1PkZzUg8MEUHW0V5DgUWK+LlHb7AVPlMdvOjqntVtUngBYwGvlXVFN4tqvp9yL7LgIkAIuJy/j1AVesC3wBvpjKfpUDPoO0rgT1B23OA1kHbbTCKe2ibrahkyX384kK8H1CusVKnX1LzuHHj6NGjh9ko1wTqPSixCe63f3paqocfKE/xABDpLlWBwU60Xl6hJTaV1mKJFh9iruOjAtHGquzBiHsPiNA4mpPLbVT1P51ITZCBRZs84XF7izJnzhyuv/FW3Oc+KE3P9Jx74BgeESmS9mgWhxrAYeBASJutTJtPcRbd+mD+X/0iuNM+RpXMPax3AWaX6U1DjG/WWxk8PsBnu4/t9v78z8+p7rT98HbW7F7j/fQMbsBU174Qn/4fPk1b/bNYDDdj/jYiVRjOKwSuY9GOLl8I1MQvYRcELFnDinh5BFX9WVW3pWPXXsBHae0kIlUwwtsnTtP5QLyqznG23weuF5Gi4Y7HeOfUFpEznO2emFScAIuAKiJSzdlujVnVau2cvzLmZm5h2m/JYsl2mqFxLTmySZhWK5ap1WO3fVQ59p81c/SiXbfEMrV6rE6pHpuwcWJijDuhyOw1rBaR/nn1AU6E04FbIOmGOlDpSYHVwGvADXkl6k2EakBVrIhnsUQHk8rSDyOm3xnU8xGwBBglUojuAZ2FnbgyzRLvffUXnn76afbu3Uu5cuWg0XMQU85drTylNrzBN/hlAn4Zhl/y0qJIXsQIdslTEK2Il89R5RBGrGhFZG+8UOYDrZyAgbTxS2ngakwAwwBggar+muHJAjpE/yzqjvnL/7s/1f0Wb1tMZa+Xy4oxCmiez/yQLXmDbsAUfBptcSwtop9Oa1iMeU6xKbU5gC1skY8QkVZAOWB6Ona/E/hGNanCUg2CovxU9bCIHAKqAJHCyCcAPUTkfaA58DTwknN8rIgsANqIyOfAmar6jZMWXBQThbdQNc9/0VkKJkuBB4g7WIK4gwBUKwZrXwWOGa1cMF+A2/ZReuJ8KgFvAI+LyDBgjKrmCU8fEbzAOE4tuvyNWQX8EZirmicrKrbEXLiXpLWjxWLJIXy6HL+MAF7BL1/h072qJDpFLpYCd5GORcECQq+EhLgL7hhTUTp16sTVV1/N5s2b2b9/P3hLQ/N3OXziFlfVclyB+e4SYCywLqqzztuEE+xsOm0BQJXlIgwERojwsyo/pHHIAqAscA7wRzpOcR3g6fImy4EPMOJI5vDLJR0OUG3ckHHMPzmfE8dPMG/ePGbPng3A1Vdfzfr16/n3+Da8JeO2xKzXhzJ9LkvhxS9nAi3IH3YUeSOd1qcH8csazILAl1GdSwHEinj5i17AeFVNUfo9GBERTORc+sxlIzMOmAUcwVSzSwzpD6TU/oMxhwUTeXOR0z4HiyUamMiAd9KzazVg030gIkOBJ4C3gSdE5EVgbFbEPBFKYNLkmwDnYszm4zDC+Upgniq7EIkBbsSkl5QB1gMfC/o3xp/mYuBFYIQqOzM7n1ykJfC7KoejPRGLpZAzGBPF+zImTQ5VVojwDvCKCF85abYFF79USsT9Wp/P60njVq255557AGjdujV9+/bl4Ycf5u8TjSlbtixFYo6AxicAX+BTK+ClTk2CBBsRAtVqbSRewWAU5l5+oghN0rj3WAEcxzysp0fEuxn4cfISbgO2kdoDvl/KAk8Cn+PT34LaY46d5PknJ/Hol4uBAXH42vg477TzAPjyTzNk3zf7suPwDu779j5izXehxZIZumIqmKclaOcF8ko6LZiMPBuJlwNYES8KiMgdwCBn8y1V/Tgdx5TEXHyap+MUl2NU+O+D2rZwyoQYESmFEQsimsiq6r8i8g8whPBeF3MwwuIW4CenbS4mCq8NyVN4LJY8japuBfqLyMuYG8YRwJNBYl5cqgMEIcI5wEC3m9sSEiheqRJxjRrhKl0a98mTJP7xB/GbNxMDJJb2HJs9getrd+Tr2kFDtAP6v0ffff14/wRwqSpLs+/d5jjWD89iyQuYlfBBgB+/jMGnAYuLYHEvvxT3ySw3frMsoZT/uz9o8fdT+u34pyhfUvh8YDFpXyWWS87xIAIj7nSDWSONhTxXKCgvUoPk3lDhqtVa8imqqAh9cPy1RbhKNbwvr6rGicivmAXHD8Ptk4RfSgHX/LOHhzGLk8PSCE54HHgEuB2/NMan/+GXBpt2M6n7u5yzZANxovR0uzz3PzPnmQsjDeIW95YETchUyq7FgokW/QJf+p8FokheSacFI+LdgV9i8OWNDKeCQuHxQ8lDqOr4oAIUaQp4Dl2Blar6Vzr27YURHYIvtksBr4i0cbb7Al+nI931GeBpVf07TN8SoBLQneQiXjegMqei85LjlzJOWLLFkudQ1S2q2g84GyOEjwTWiUgvEfEm21mkOSIvIzISkQdnyLVVRXje5eL32rW565VXKL59O+zahXfWLNyTJ8P06bg2biTm4EH45BNcTVvGtOvEtNpd5XN2cEay4fsyuvxf1HslPwl4IsRgPDitiGex5A0+w0QPjMIvHkjyvRoE9BIp8NXjPrmuGX1PjKXv3KcT+819OrGfv3/Cvfd+cISrG8QmzB+SyLzBiTSpEQcmlfZBfElWJJZw+MWNCWQPrUwLNp22wKDKQYzYfwnGUic15pO+4hbXAt6LhlAK8GLSacPjl+rAQGerIjAZvzzywxqWXfAUZy/dyJb4RM5PTNQJ8YnxF31VmeIn6/BqXB00tg7fbKlFVUzAiidBE87SIZonfIMt+Qy/nIspvpKsKq2IbBaRtSKywnl1TU9fyBguERkuIr+LyF8i8pGY7JxA/3VO+3oR+VJESkcY5xkRWSMiiz6Zl/RdfFJExorIxVn+HWSehRhRsWkU51AgEbXfZ3kCx3fuWuAMTLjuYVWtE9S/APggVPQTkeeA7ar6nrMdiK5rqJq8ZLqIXIQpaFHU2ed2J/oodC7PAmVVdUBIey1ghaqWDWr7DmisqpWD2nZgBMf2Kd6oXwTxzEHjLwNa4sucka3Fkls4n/unMJGlW4AX5sKXl8GnwDWB/fZSnms93+sqTzMd9pLLdd994ElnrPOMGXDv3bGc/O8g38a3owkrg7tXYqpN5wtEuAAj8NdXTVdajcViyWn8Ug9TBOcRfPoWgFPNeiZmMe58VVK16ihoiMixZzvz25CbuAjzoJ+AWXy8xCkMYomEX6oBW4FL8ek8ABHuBoYDZfJKkSVL9iDCfRirkbaq/Bh+H7kW49ldSVV3RxzML18kJFLOczs1gVmqek8q+34M3IaTOaYK//c1+uQkQJiqyp2qesjZtxGmmF9tzALFByFFVyyWzOGXoRg7iurB1YxFZDNwg2rKIimp9YXs1we4FWiPsdsZDaxT1VedLLwNwOWq+peIjACOq+ojIWOUxtx3nwd0b1SD61e+RJdzH6HzX9tpq6r9M/nOs45fXMBu4AV8+kbU5lEAsZF4eQRV7auq1VTVo6qnBwt4Tn+rcFF7qjo4IOA52wdVtUSogOf0LVTVRqpaV1VbhxPwnP2eDRXwnPbNwQKe09Y+WMBz2iqHFfAMPjThckrVU8T7YSAqwGLJqzif+z5APUzE6Qf7jYdLkoB3mJJc6ZnLjtMay9JlLteAAekX8ACuvRZW/hHDuReV4wr3z6zhvODuBtnxPnKRlsAhID1RwxaLJTfw6VrgFeB5/FIFTLoccC/GjP6+KM4uWhyc/CvzSW4t08sKeOmihvNzS0jbFivgFUjexfjW+UVCUgZOEUjVj+x/5ZcSQIchk/kLI7a9ncq+DYAeOH+fB4/BTW/C0/9D7r6SX1TprKqH8IsbvzyCETGOAk3w6ejMCnhpRFe97fSriDRJZYy7go5fISJ7ROTLoP70RleNdc7VNKitlIgcEZEVzvbHIvJ0UP9tzjG1gtq+E5Femfl9FHpMlfJuGE/GsOnkWaQxMFtVY9VEVn0L3O70XQMsD8rCG4kR/EJJANyYyNYSRb3osZOwfieDMOno0cNcTwN++ZZsxIp4ltzDL+UQz9ufrG+tFz1f1HXR4LiGw2fwZrSnZbGkB1XdqKq9XoZ210OJ4L4H5W22lajHT/O9nHtu5sYvUwamf+ehXtNidPN8wYkkSwvyW1pXS2CxaopCOBaLJboMw0T6vx5oUGUdjrgnQtVoTSxKHFi9lRPAKmf7ZXz6ZzQnlI+ogXlwDPZVtpVpCyiOMNsLI5JNEMGdch/dR13+5il6CnKTIOUCfYK4BTljTRm6AEVem0FD4HvVVP/eXsV8xli1BS54Ghauhx+ehPd6cplO5Hr8Ugv4EfPdNhS4DF9Y+5+M0jXI9mhSUPsXmNTiVD/nqvpx0PFNgJ3AREjyOP8IE6V1NuZv6JlUhluKKVaYNDcg+PcWKDIYoA2wONAmIh5nzmEjKC1p0gSoS0gqbRDjRWS1kwZ7Wgb6AiwFOopIacey5xagltNXg+Sftc1AZef/NAlVPYq5ri8COr3Wne8GfwFuF68lRapGF1vcIgewIp4lF5EX98eWKP3qF7tkzs+L+PqDAYz9mf7/jpBq0Z6ZxZJeHoMqLpDA9gw68LHexUfjvJyZRafH4sVh4iQv/8SczVCGBJpTN4nOe9iiFhZLXsSnx4D7ga74pV1QzzBMusvrYY8ruBzEFPiagilm8UJ0p5OvqAn8iy9ZQYIa2KIWBRbHH68rcBmm+FcSglQT5Hv+pA4v0AmYDOwQ5CNBXrpoATtG9WPHgWGMXTQc7RXHpU1Su7fxy+WY9ELP+F+g5RCoXBaWvwiXn1oo/RwjwFcEWuDTYSGfx2xHVX9W1W0ZOUZEWmAsC6Y5TemNrgrwJXCdiARWdu8CxgT1zwEuCvJRuwR4iVPCXnNgj6puysi8LUl0wwhpi8P0XaaqjYBmwB5gXDr7ghmLKRA013mtg4xbW6jqSEc0br96K5W37kNj4/lGRN4Vkf+JyAMZHTMbWQBUczwuLdmEFfEsuYNfLgTt9yt9PJde1pqiRYtS8ZIXqX5aEbYfcEU2tbVY8h6Hgzdecj/DddfE06lT6gctXLiQK664glKlSlG2bFlatWpFYmLKYLWzzoInn/HwrvsB9lFuOcZjKF8gwmmYFBkr4lkseRGfTgemAu/iNw+FqhzHpNPeIsJVUZxdbnMAKAscA3biS7PQl+UU4QQ7K+IVcFT5DXgIePZGmXIzIo/tOl3GVNjDauCqkKfKIkDPc/7k8QUXc1q/9+HiBdByOe4RwM8lGY3IOSlO4peSwOcn46DfGLTHe9C/rYnAq1wuxfh7gOb4dFnESfvFmwnrnvREUKWXXsAnqklVTdMVXRXEMWAWcIOY35cQFInnWCPtAFqISA1gH8brNFBkpA02Ci9znEql/SxceraqbnF+xgFvApempy9kDHVsrJqqaivgD2CN072FUwWDwETo7UitmrOIeF6axm1v3sZxjJ/kblW9GbhRRM5Kz9vOAX4FErHReNmKFfEsOY9fPLi8H3LapQl7PU0oV865CnuKU77mRRKfkNgev1wd3UlaLOlmJk6K60oaMT+hJYMeSf3+cOHChVxzzTXceeed7Nq1iz179vDGG28gImH379sX4j3F9Ew2fULeCIVPLy2cn+FWLC0WS95gAFAVeDTQoMo3mIi0d0UoGqV55TYHMCJeBUyasSX9JBPsnPTKath02sLAiLe5/8//cfPnwMt+H3ftrUjZSDv/dS4suSBle6kjlFNYjcgviPRCxItfLgJWbNpNqWZPcWTsXGLvvoLXhnfna6+HuJSjUItT1WtT4pfTEPcexLvAMdhPD+mNoEoTESmBEYE+yuwYDmMwYmAvIIU/OqdSalsDc1X1OPCfiJzptM3J4vkLKy0x33UpUmlFpISIlA1quhVYnlZfmHGKipjUcxGpiPGwe8Xp/g5oJqfE7v7h5hLCQ+0asLRyOU5grH8C4qMSYgWUa/j0CKawlhXxshEr4llyg3vRxPpc+L6nQsWK7N+/P6njQGxxytdpm4jLOxq/FIviHC2W9KF6AngY0J9oTfnScbRunfohjz76KL169eKOO+6gePHieDweWrRoEVHEK1cO2lzpSjwsZaJZFj4ztATWq9oHYoslz+LTf4DngKfwS+2gngFAFYLEvYKIk/r3Eju4nn3c4OnGw+U6U1+QN4SoRSrkN0L97ypjChDYSLwCjiLd72dEfY+xq2PqDU5HnAemXQ8Pv4q77Y/E1PmHmJrbiTlvPXcc/4IXeIqVNEo2loDnzQe45JVH+HDL+Wwglnn++RyoM5ATf/zLPyfjafx+Lz4BrsOY9ocimGI9bcPP1vUq3jIl0PgLMAJY8oNF7ggqPnEXpD+CKp3cDKxR1T+C2jIcXaWqizDfzSYqLCVzMBF3bTAF2MCkZl4FXIyNxMss3YC1wMowfacDc0RklYisBi4H7khHHyLyoYh0dDbLAAtEZA3wC/Ceqn4NoKqHgd7AVBH5G7NQ8nykyYpIbaD16N4sBU4CE4ArROR3YL2qrs7UbyF7sL542YwV8Sw5i1+qIu5hnPeYizLn0qJFC+bNm8fJkyfZt28fW7ZsoU7HD12IpyrRrqBjsaQX1U+AjrNpu7d5cyGCFgfAsWPHWLBgAW63mwsvvJAKFSpw/vnnM3ny5FRPcdFFuL1e8qOIZ1NpLZa8zxvABuBtJ2UIVbZgzOGfFKF2agfnVwRpiomIeJwzKE45JMGF60ARYjAi5gpBLo/qJPMHoamz4arVWgomjwVvxJ8sBs8OwVNjB3Saxjmz7qd7tdY8c2cNnr+3Mo92rkPdOjfwXqXBNGElzT3L+ZIbk8KDNtaGx16BsxZRvfl/7O0+kmaJyrdAC1VdC3xAkA8xJi0vluQRRinvwvxyGST24ML33NQbIIjnNfxSKXgXVR0fVIDi44xEUKWTXqSMwstMdBXAg8DDjrATyhzM/dflwDynbS4m9flfVf03oxMv9PjFjSkyESmVdqOTAttIVRuqaidV3ZxWn9PfW1WnOf/eparnqmp95+d7IeeZpqrnqGodVb1BVQ9GmrKqblDVa9wuigAnVHWfql6uqg1UtW+2/F4yzwKgGX4pLJH+OU5GPQIslowhnmfQ+OLs/VWZ24mywKBr3bRuVlkAht9VD1l6PxpTzs3xk0+KX97Cp/uiO2mLJR2oTp9ZhDV31uay1Hbbt28fiYmJjBs3junTp9O0aVOmTZtGt27dmDt3LhddFH5hqmZNiI+nYo7MPQdw0qkuxIrxFkvex6ex+KU/JmrjBkwqLRhxrwcwQoQOTlXKgsRYSPV7tRQwUZBaSs6a5Odb/FIGEz0SLNjVJGW1WktBw1RWbRDY/JE2rLt1HMXjKjPwAQ89e8JZZxUJc6CbxEQ3P/8MI0c0pPPkL7nO9Q3vJ/ZmR+UdACR44LdHOQ0XY3iE3joRL355FVOYAcznawMmKmoNxjvsD+BvfHry1BSlvgijLzhLmsYULcMbY2rSvGl7+MdfbP6q/96/ROQ6oJ2q/hRmoqcDk0XEjREGN5I8gup94FrgDOB7ETmsqnWcvg+BaQFxRkTqYSqbdgg+gaoeFpFAdJUH+B3znZsqqvpDKn07RGQLcEBVjzjNC4AzyXoqb2HlMsz/86S0dsyDFMFE4uUlFmKiac8H5kd5LgUCK+JZchaNnwCUZufspKYeDcwLIFEXsXQe5/29k0ZxCazv8R6x6ovOVC2WjKJqXqlRqlQpAO68806aNzf3ojfddBNt2rRh6tSpEUU8Z9z89AB9LuYB2EbiWSz5AZ/OxS+fYKLxZuHTI6rEiXAPJorjRkxlxAKBIBeDk8+XKLDpTNhbAUSh4h6otTkQz1MV6EgBeu/ZTLiouxrAv6oZr6poyVecxETBxXzMnfSRD7n+Yhgxyk3Vqqkf6HJB69bQurWbOXOgz51tuXDXUv6r1waTsejwELcMa8v/+IOXgHqY9MGJwIZ0Vp/dvfENZtU63dvyj9qf0vvBASxYsAAueNfz5v91ueG00vy2O4LTsKpuBJpGGji1aCZV7R2yvRZzTxRu32mcqlYbEVW9M0L7TxiBMLjtnJDtI4RPQbakj27ASnz6Z5p75j2KkvdEvA0Yj8mLsCJetmBFPEvO4tN5nArtToELs8R2oUg7TDj5IhG5UVXX59IMLZZMEx/Plg0bSADckfYpU6YMtWvXjuh/F4lNm8DjYXdW55iLtASOY8xrLRZL/uARzBP0YBwvPFV+FmE88JYIM1U5ktoA+Yb1deoxpw0e/x3o0mYkHCmerNtd+iicv5SE28ZC++/qUCU608wHRBLxbCptQUc1DpFJX9D59p58zBOPw4svkqqlSDjatIFfl8dw9TUV2XX1L7CsEVTeaTqFku/W5dueG1h6+kma4NN1GZriRIoj7sdp8IyrSLGzcbvN7dnMP0tSr+5Z6nJtqjtzldrnX0tk/OIFugCvRnsqmSTvReL5VPHLAk5VTbZkEeuJZ8kTqOosTIjtSeA3Ebk+ylOyWNJElV9//RVNTEx9v/vvv5+xY8eyYsUKEhMTmTZtGnPnzuWmm27ixIkT3HDDDdStW5fGjRvTrl07/v77bxYtIiEujvkiUklEvhOR9SLyu4iETd8VkVoikhBk0rzCMbkN9D8mIn847YtE5MII4/R09lsuIs2C2p8TkdTiZFsCv6mGrSBnsVjyIj7dBTwJDMQvDYJ6HgFKAkOiMq9sRASvCI+6668d5X1gFDdVbsWIV4uzYAFs3Ghe8+fD2y+V4IaKF+O55wPcZ255ToQBInaxOww1gAP4klVOtyJeIeFZhozu5R6nd/dJzJSAF6B8eZg900vl4mVw3/mJiY4FvLHAXqh2I1PTK+CJSBkRae12yaAlG93z44rWLBJ/9kDuvfdenn76aRISEvi/V17hsVemSNEYKfXiLdySuVlbCgltgfLkz1RaMCLeiWhPIgymuIU/s98almSoqn3ZV555AcUwpdQVE0Lvjvac7Mu+Ir1AG4Dq999rmgwbNkyrVaumJUuW1KZNm+rUqVNVVfX48eM6Y8YMTUxMVFXVd955R1u1ulxjYjQBtJ/z9/CsOR/NgW2AN+VcqIXxQwkzT5pgKgmWdLZvA36NsO8mTBn6y4AvnLb6wNQ0fhe/g74S7f8T+7Iv+8rgayJuncgSncjPOhEJtJvvH40HbRD1OWbyBVrb69U1Xq8mDB2qum+fpsnu3apPP63qdmuC16srQGtE+33kqddEXtaJrAz5Pa8CHRb1udlXjr88Hv367DqJcUeParawcKGqy52gjL9NUbT3aHRfWbTd9/we7vxABYzI8hhGZFnvPDNolws5qBPRhO2ztVu3bjpy5EhVVR01alTSv3t0aqo/PCmxOpEzo/27tK88+prIOJ3IoqjPI/Pz/1AnMjPq80g5r8t1IqoTqRX1uRSAl43Es+QpVPU4pppTP8wFeoaIlI/urCyW8Kjyu9fLvOHDSUhr3yeeeIKtW7dy+PBhli1bRqdOnQAoWrQoHTp0SEq3bdmyJX/8sZnERI5hysPfArxnzqdLMMbhGa2eqBhvlBLOdlmMGBiOBIyfRgkgVkRcGLP7ByMNLkIZ4DysH57Fkv/waQJwD3AJQSbumKqQy4BRImGqP+ZxRKjv8fDrOedQd80aXIMHQ7lyaR9XsSI8/zysXo3rrLOo7/WyRIS6OT/jfEMNzKJQaJuNxCvgiFA3Pp7rXv4/8RR3stEff/xxGjZsSOnSpalcuTK33norW7duTTrmyJEjtGnThtNPP53SpUtTvXp1Bg4cyIkTJlCoZUu4+RbF89rjVN4GzzwP5Q7AuB6cXU+kiohcIyJPiciXIrIZ46s1C3NPUhzwAzecUZaanw/wHtWYCvTu+wCNK27hngvXwtIBrJw9ki/HvkT7VrWYtWAdj3+m3sUb3KNz83dnySeY6qk3kr6KwXmVvOiJB/Ab5hnDptRmA1bEs+Q51PA+JhKoASa9NqLRrMUSTeLieH7WLNyff5494z3//FscPtxR4+N5HaQIJupuZ9AumznlSRRKCRFZIiLLRGSwU2ENVV2JEeI2icg2YCBwf4QxHsXcID8OPAf0B2aoauhDWzDNMZbwVsSzWPIjPv0NGAW8it8snKkSEPcuJh3VE/MSIpT1epl5wQWUnj8fz9lnZ3yMc8+FRYvwNGhAea+X70Uomf0zzZckE+ycRZzQarWWgkmvKlWIc9YgARARxo4dy549e/jzzz8REa6//pQjTpEiRXj77bfZunUrhw4dYsmSJSxbtoynnnoqaZ9BA9zEr6zP6PMvoIaj/1XeSUwD+Bf4Brgbc4/xIaY6bBVVraKq16vqEFX9asd+3SIuz1ef/Xzw74nf/qFffrvwyIVd3z5y1V1vHxjVZd3SWQP/W/rdAzuXtjzz+N7BnT3rWtQtMgWLJSXXYKwk/hftiWSBvJlO69OjwApMcQtLFrFeH1FERDoAL2DEVA/wqqqOC7Pf1cD/BTVVAnaqajMRKQH8iFHdAXYA/VR1c5hxnsX429ykqlOctkAJ9XKqWlZEhgDV1amyJCKXAL8AbdQpxy4i7wG7VfWZrP0GUkdVF4nI+Zhw+QUi0ldVx+fkOS2WjKLKTJeL93v3pleTJnjqZiFeY8iQYcyevV5FZv0OvEiEymYR2AFUVdX/nOjVScBDwCsiciZwE1BHVbeLyH1O/yUp349+iVOVUUSqA52A9iIyDKgN/K2qT4Uc1hLYqsr2jLxfi8WSp3gKY+b9Ika8Q5WlIowEXhVhmir7ojnB9OJ2817p0lT66is8pTLyLRpC2bLw9dd4zjuPagkJvIXJFCjs1CB5Zc3AolJqCz2WAkBMDJd36IDXHVTK66WXXgrqj+HRRx+ladOm7N+/n3LlyuH1emnYsGGycVwuF2vXnqpI27w5lCsVx4b/WmGCdQwPwgdfwpOquiddE+x67J5bu8Ktb0feZXK3dI1kKbx0A37Gp/9GeyJZoAgQoQZz1DG+eJYsYyPxooQjnk0A7lTVJsB1wPsikuJ2U1W/V9UmgRcmvWWi030caKuqjVW1MfA98FYqp14K9AzavhITmh5gDtA6aLsNsDhM249pvMVsQVV3YbwvRgLjRORdEYnJjXNbLOlFlUEnTrD6kkuIX7kyc2MMHTqc14ZPJuHk14fj40t1USVWVfcC8SJyRtCutQgT8aCqJ1X1P+ff+zBeepc63Z2B1aoaENk+Bi5Ox9/SW8AgzN9/FVXtClQTkTYh+7XERuFZLPkbnx7ACP998ScrfPM0JgVmWDSmlVFEuCAhga5jxuCpVCnr41WtCqNH40lMpKcI9bM+Yj7GVG2sSnLBLiDibU15gKWgIILEx9OkefPU95s5cyY1a9akXEjuevfu3SlRogSVK1dm5cqVPProo8Fj0/xCYSnnJzvmMpiVbgHPYskqfikJXE/+TqWFvJtOC0bEa4JfSqS5pyVVrIgXXRTjTQVQGthLGn90IlIFI7x9AqCqiap62OkTZxxNZYh5QO0gUaAn5mE/wCKgiohUc7ZbY1LqWjvnqIy5YVuY1pvLLlQ1XlUfwqyO9AB+EpGqiBRH5A5EPkXkC0Qew3lfIpQToY8IHxYtysoiRdhVpAj/FS3KWpeLiSI8JBIxJdFiyRCqHIuL44r9+1nUvDmJL74IsbHpPpYePV7nhef9lD35CT8mdFqkSnBFtv9hPCIRkeaYB6i5oeM4VWy9zr+LYCLvljvdGzGiXSAd7DpgnapGnKWIdAX+VNXVGH+8wPdKIpxKK3O8sqyIZ7EUDCYCPwOj8AfS8TmAEffuFqFFFOeWLlwuBp13HvFBGX189tlnXHrppZQuXRoRIT4+Ptkx06dP5/zzz6d06dLUqFEjWXQRwM03w1lnESfCgFx4C3mZKphnh+CFpBrAAdU8G/lhyR68iYkUSU0Ynz17NkOHDuW9995L0Tdx4kSOHDnCihUr6Nu3LzVqJL8FP+0MD/ulQnDTdmBqdkzcYkkn1wMxwORoTySLFCHvingLADdwQbQnkt+xIl6UUFUFugJfisg/GHGtR2oP1Q53At8EIm4CiMhsYCdwM3BvGmNMAHqISFmMl9X3QfOKxfyBtXGEgDNV9RtM9E1RTBTeQlVNmWvvlxJMKracT705YharqpOAFkDFhrDiuBEmxmHEvc7Ay/9QY3N9158/u1zsjIlh1CWX0KNfPxq9+CKVhg3jtAEDqHvVVXQtXZqXgc1eL7NESGNd0WJJG1UOxMdzZVwcTw0eTOxZZxH3/POwYYMR6kLZvRtGj4amDTYyfvxDFEvYRtmERtzDwnYisjho18eAViKyHhgL3KaqcQAi8pyI9HP2uwRYLiIrMdG6OzFpcQBTMOlPvzn9DwK+SO9FRMphvkeed5q+AyqIyCqgvLMdoDamWpwV8SyW/I5PFeOD2QgnpdbBj1k8GCWSd61YRPACN917Lx4JKsVRrlw5+vfvz5tvvpnimCVLltClSxcGDx7MgQMH+Oqrr3jrrbd4++1TOXkuF/Tvj9ftpptIob53DigvwSJeTWwqbWEgASAuLnzn9OnT6dKlCxMmTKB9+/Zh9xERGjduTNOmTencuXOyvrg48GjS4IcBH6oRzmax5AjdgNn4dHe0J5JF8qYnnuEfzPOJTanNInn2RqygIyIeTIrKTar6sxNhM01EGkYKHXci7XoCD4T2qWpbp4rkU86rfyqnH4cxrj8CfI6JrAkmkFL7D/Cr07YI8wfX2ukPx2A0oREa3wS//A+fzkplDplCVde0EGn5FWwtZqpSmXbgbR7gKffLRSpXc1868gno1g3KlAk7jDs2Fr7+GoYPp83ixSwW4R3gcVWOZ/ecLYUHVWKBl0WY9O+/3P/cc/QcPJgyJUsSX78+WqZ0ojvueIJr3Vrl390xFHHF0lkXMZKLaHUquDURE9nmjKm7gKvCn08HB/07ycsuzH4KPOG80vE+dD+msExgOxboGGH3lkAcp6L+LBZLfsanf+CX14AX8csX+HSnKipCf2AlRtx7J7qTjEj9xESKXHpp8sarr74agJ9++inFAV988QWtW7dOqhjetGlTevfuzTvvvMMDD5y63brkEoiPpyRQB5JFSxcmamK+73cEtdnKtIUAVRKKFGHHn39SObRv4sSJ9O/fn88//zzpby014uLiknniAfy1KpaL2b4fkx00EtWN2TV3iyVN/FIOU9SiT7Snkg3k3XRanyp+sb542UBhXk2MNk0wHlM/A6jqEmAbkFoV1ssxf5jfh+tU1UTgA+D21E6sqv9iBLohGG+sUOZgIu7aAD85bXOD2lL64fmlAchDNHvDRdXrExDv+06Z7mxnMbQ7I0jAS8BFb/mIh1xvMOjJYqz+K4a+fSMKeADExEDnzjB/Pu4PP0RKlqS/18uPTpU1iyVLqLJJlUHx8ZwOXHbkCAMXL+aDn2ed/PSseePi7t/9DN/Snh2JpzNRuwcLeADfoOFi9/IsLYEVVgC3WAoUzwMHgOGBBlX+dLZfEEn5IJ9HOM/lQs87L/0HqGqKr9zExET+/vtvDh8+nNTWuHHSPwuzL14NYBs+TQxpsyJeISA+nnnz5ydf+B8xYgT33Xcf06dPDyvg/frrr8yaNYtjx46RmJjI0qVLGTp0KB06dEja5/BhWL02RkfRvy+qD1sBzxIFbsDEhEyN7jSyhbycTgvGkqsV/uB4eUtGsSJe9NgKVBaRcwFEpA4mLW1tKsf0AsaqakKgQUTOcFLfAnQFVqXj/M8AT6vq32H6lmAq4HYnuYjXDajMqeg8g19ciPeDS14s7qrYagjPfl/bjbhqYNIAc4JkQucA3mKipwdTv3Lx3HNQNAPSocsFPXvCokV4ypblAq+Xb/NyqpAlf6HKSVV+UWWEKvce12K3fUifYY/xCu35nnIcCD0kllMpsPkF64dnsRQ0fHoUE/XfHb9cEdTzArCfIHEvj1HU6yUxuHpmWnTs2JE5c+bw5ZdfEh8fz2+//caYMcYq+NChUzZvRYoYA37MYmphJZxgl6fTaUWkg4gsE5EVIvK7iPRIZd/rROQvEVkvIl+KSOn09IWMMVZEVESaBrWVEpEjIrLC2f5YRJ4O6r/NOaZWUNt3IpKnqiEnJjLjhx+QbdtOtd1///0cOXKEa665hpIlSya9fvnlFwBiY2N58sknqVy5MmXKlKFr16506tSJjz76KGmMTz4BEeKJnOljseQ03YBv8OnBaE8kG8jL6bRgbLsqYnQPSyaxIl6UcFLk7gY+dzyqpgD3qeoWSOF1hYiUwRjVjwkZqgbwo4isEpHVmEi529Jx/t9UNax3neO3NQ8opap/OW3rgFLAPE3pUdEDjW/x6WeTZPjw4RBTBhq/4AbXU/jl7DR/GRlnX+Af07ieEdzH2PFurrsu8wPWrw8//IAH47n3VNanaLFEZKjzOhrcuJPTjwPXobo47FF5EBGKA42xIp7FUhCZBkwHRuI3laxVOYYR93wiXBnNyUXgaGwsrpMZiEG45JJLmDBhAi+88AKVKlXi3nvv5Z577sHlciWrsHnkSJK/6dFIY6WFiLQXkd+ce7ZFItI4qK+SI9ysd8SmyyKM0VBEfnYEpd9FZIyIFAvqbyEiK0VknYj8KCJVI4zTU0T+EJHlItIsqP05EYnkmZpMsHM8CKuQRyPxHBuaCcCdqtoEU9TpfREpFWbfksBHwA2qejamsMIzafVFYCnG/iZAV+DPoO2AbU2ANsBiThWR82B8blNmvkSXz1wxcYffeONUg6oSFxfHkSNHkr0udXLaL7nkEpYsWcLBgwc5fPgwf//9N6+++iqlSpn/gthYeOPVeC2uRyapYivRWnIfv1TCFI3M71VpA+T1SLylGFsGm1KbBayIF0VU9VNVbaiqjZ2f/qC+war6XtD2QVUtoSEh5qr6q6o2VdVGzhg3qOqmCOd7VlUHhGnfrKplQ9raq2rlkLbKqprcrdYvFRDPG9S9V6o3vPZUe70H0dJ1BfG8l63hsiIVMdGAnKAId3vG0OP2RLp1y/rQDRvC8OG4RBgiQt2sj2ixhMHkbj2L+Rx3BfoO56EnqrC9mBDeDzMP0wzjrWpFPIuloGGKXDyAWSx8KNCsyjTga+BdEYpEaXaRWKWKrFyZsYNuueUWli1bxr59+1i8eDEHDhzgoosuonjxJOcOli0zP9dw3gBEzsjoxJysiYmYImaNgEecbUTkLmAXcMARie4CZonIJieCbIWIDHSGOoFZ9D0Hs4hSAhgmIl+LyFrgF2CuqtYFvgHedM4RiBAr64zzDKa42YPAk46otwHzf/5X0LyDRb3QSLxw1WrzGgqUdf5dGthL+Afca4DlgcVrYCRwazr6wvElcJ1TIA7M/2fwIvwc4CIRI45jBLuX+H/2zjs8qqKLw+8vydK7gFIELGAFQYpYsWPHCrh2xYq9fRawK1gRRSlWUFexV0RFQbCgghQBQSwoIEoHqWnn+2PuJptkU4AkmzLv8+yz2Zm5c8/d7N6998w5v5Pt2OsMLM/vej5hmNqmDbyh+qDHM/nmm+KZsn8/4++F6Zps+3Um+/3weEqT03DnhA8TbUgxUXY18QDCtgmno+2deNuAd+J5thE9RJV6NWl3X87mpBDa79kULP3wi59lvqQ3JQ2SdJ2k04OV4iZBMY4i7kotcKm+1wK8wlmstPoMeLDgKcyMO++8k6ZNm1KzZk0OOeQQZs2aFXds377QvDnpuItaj6fkMPsPs9cxG3ETjzxoJM2k5FLQS4quwDKgbN1oeDye4iFsf+BSaPsTyU71I45zr4wwLyWFdeNzJeVlZGSwadMmUlNTAdi8eTObNm0iMzOTzMxMvv/+e9LT09mwYQOjRo3i+eef58EHH8wxx4QJsH3KCvbgZ6cXHBP9VkR2AVaY2WwAM5sEtJB0PE5MPZOg8negk7wZeMHM2gePQUHffDObGfydgbsuOgcYhcvE+J1sWYbhwImSeuEiH3K8LbibvZo4KYf+wILAltsAJO0FtDOzSLAgm9uJ1zJ4LpPptEFRp17A25L+xGWZnBcUa8pNC3IexwKc7E1KIX3x2IArIHeypN0BEROJZ2YLccVB9pO7tl0JfAocEAyJrz+deO7gqidDOnocp5+ZxsKF2zbZW2/Bw4/A4Iwr2Ys5u+FSGj2e0qY38H4gI1ERKOvptOBSag8odJQnX7wTz7P1RHQg2IV0fDKFKnHqQTQ6ENv5Qht0bkrTRrVJwX1ZbwbewEXu/A1skvS7pC8lvSTpAUmXSzpeUjtJ9YJ0CIBBQKvo9M+mXE7PnqJJIfLajzzyCM8//zyffPIJy5cv58ADD6R79+6sW7cuz9jkZLjuOkLJyVwYpIl4PCWOGQYMBM6Q2DXR9mwBXYHJgf0ej6di8ijOcfNEtMGMBbjiF/0ldkqQXXkwIzM9nZFDhpCWkZHd/tJLL1G9evUs4f1atWpRvXp1Jk6cSEZGBldeeSUNGjSgcePGPP/883z00UcceOCBWdunpsLwIWmcm/4cwQXJbhRBuiQX84HtJB0AIOkknEzJA0A/nKNndcz4TUCjgiaUVBPnUF1uZm8QOJsCyRbM7D/gP5xMyPW5Nr8Z52i6BbgHqAWMA9YBqcEi6yCyFzXrB2NinVktcM7Bf4ryBpQ2gZOtH3CqmbXEpcy9JJfVUdI8j9Oyvoj8i8gdGjy+NLONwFJJOwVtZUofTigFOB5B5qizWFb7N/Y7KI2ZRVHhzoUZjBgBvXpmcrkN5SKy9PFOLj6LPZ4iEFFz4GAqTiotlP10WnDFLdoSyStt4Cka3onn2ToiSiEp9CzVGhsZ6+G3591j6URYOS3rtersrlpV0qsvHaa/zGy/IEW3KrAz7iLlQuBZYA7QAKdX8gAupHkGTkB7bXNpbobTBARcKu3UjH3ofmzhH+Gnn36aG2+8kbZt21K9enXuvfdeUlNTeeedd+KO794dMjKoBrTbhnfI49lS3sDdHN2UaEO2AF/UwuOp6IRtM9AXOJGITorpeRQXkfSERPHJZmw7gxctIuX5mOTF888/P6sKbezj0EMPJRQK8f3337N27VrWrVvHhAkTOOigg3JMOHQoLF2RxJUMiW0+VIewAgABAABJREFUiS3AzNYApwMDJE0Fjsal0M7BXe/E43RJP0kaLWnn2I4gFXM0LhJ6nqTXgIeB9rnG1gEeDBx6sfa8bWb7mlk3nM7f38AZwDBc+ukY4CMzizrtWgTPsZF4LYBFZjkrliYKSefGpB9fALQHmprZRMiKcFxErgJpAX+RHVkIbtF4iZmlF9IXFzObjEs37k18B8F4XMSdi+x0fIn7XBxI2YzEc9/zRstJn3AQy1pMYd9OGfTrB+uLGMP0669w7FHpXHop3JL5AEPoG3vy8PelntLmDGAtQRR0uSeiZJzMTXlw4iXhpAM8W4E/WXq2lkyU8h+bV2zi+0s38v0lG885v0/GQ4NfsJGvvW+Hn3RRJt9fspEZt25EyRtJqbExuqGZpZrZH2b2pZm9bGYPmNnlZnZ8oO1XH3fRuRdOh+T6DvBlbLG52exFmoXoXMhXf82aNSxYsIAuXbpktaWkpNChQwemTZsWd5vddoMa1S2zIcsOijvA4ykBzEjH3YCdL1FIfGnikWgONMM78Tyeik/YPgdeBZ4gopoAZqTinHsnsIUOrZLEjPnAo1dfTcb8+ds+3+zZ8L+bMrjd7qMFOfIHt9hxaWbjzaybmXXEFUpoCNxtZivIqd0Gzql2Dm5BcRIxek2SQjgH3hLgPeBwXGRkr2Ce14NxfXE3dG8VYtpgXGThTTjn0qXBfmcFGRKj97/TpdhCjjehJWVID8/MRsWkH7+As7WJpD0AJO2KS2ueF2fzscC+QforwBVkO98K6iuIa4AbcztQA8bjFsK64dJ8wTnxbgAWm9niIsxfahiWjovcdDRcQfqEg8h45DoGDt5A4ybpXHKpMWYMLFmSvV1GBsydC6NGQfcj0mnTxlj45W9M4iDuo3/uL9FHRbFF0nYxztrpQRGXdEkNgv7vYvpmBVqQeRbmJdUMxs4IHmOlHLIB0XF3B3O0z8ee44L9zJLUPab9Qkm3xdvGU2boDbwTLFZVBKI6nGX7eMK2EFiMT6ndavLTcvB4CiZsmUCX2KaXCpL43UKCC545wQOkN3AXs9UBVgfXuY0KTDSBtWvXAlCvXr0c7fXr18/qy01yMjSql5p06cbHHkYDOwI3YLZs647E49kiXgDuBK7DpTqVZbribhZ/SLQhHo+nVLgBV/DgdgLNNDO+kHgFF403zmzrK7cWM/0yMuh+9NHsPnEioR133LpJ/vgDjj86jQ6Z0+nPvTn63ufEP3oIbYmcgKQmZhZ1cdyPS0Udm60awlNBpdkpuFTaLwNdtyGSHpG0HbAG50BaCVyCE2WfZmazgxTYDTiHUwiXyrkZmBuzj5mSepjZtMCmXsDPZvZTkOJrOKfe97jzfFMz69VpZ3332U+sPWpADt2o3FpxZQoz+1fSJcDrkjJxwQtXmtlf4Ip2AH+b2TAz+09SH+DdIA13FnBeME++fYXs//MC+pZI+gtXzCSq7/INsBNk55eWJZIzuRc4MiMpCAJJzoSrnyTjzFfZ8NI5vPjwbSueGdFwO4Bq1cgIhbCNG0lKTydJssyDkyb/96Y9VvfE9A8IkSuIsSqL2cxLRbEjcHq3j76WdCPQzcxWBv37xfSdDtwZ1ZHMxUbgyKiTNSgeMxjoEbN9F1y0UEGf83uA44K/3wY+kbQ97r7lqKIckycBRLQz7l72jkSbUoxEnXhlXRMP3PnOF7fYSnwknqd8YLYaJ9oMQErw45+WW6Y5F3Xq1AFg9erVOdpXrVqV1ReP1FRRlc0h3A/wV7iqch5PiWLGJlwlwcslyvpnriswy4x4EQYej6eiEbYlOH2xG4m4yKaAG3ERZP0SYVY8zNiclsbRixfzR+fOpH+eryslfz7+GPbvnEa9pfP4IONYUsgW2VtM03W9GH0l8LnEvlsw7T2S5kr6FVcltYmZtTKzVrio5l9w2nUvAleZWRqApNeB9YHzohdOXqQTrsLfHcA+kpqZWSbOAZQKzMalie0Wsw9whSqiDrz6uGjKqIdyLNAWl84p3EKqAdSqRo1l/5F7QTN3oYsyh5m9amZtzWyf4DkS03eHmQ2Lef2+me1uZrua2clBCnShfbn2d76ZPR6nfYKZtc/VtruZdY15vc7MQmZ2WdagiGrmKiqTMNJf49j3JkKNdFbk6Gi0fB3XD+qfuqRhQ5zz+chNm7j0v/+4Kj2d84FOZqr5ZcbBO5/KO++HSM/p+N6Rf3iY7XiFTltp2kXk7/jMt8/MMmMceMJlAWXZJqkGMAQXmVoQaUANsovEgNOT/F9BKdeehNMLWE7ZTF3fWqoFz2U7Es/xLdA1KJrk2UK8E89TnrgJl1LCLvwGwJw5BW9Qt25dWrVqxQ8/ZAcLpaenM336dDp0iCeJAqtWwZIVVdiVX6NNbXCpEx5PaTAUV6WwrH/mvB6ex1P5GIqLQno6euFtxj+46LwbJfZMpHGxmPFPWhpdV6zg4yOPhLPOInNGfspz2dswdSr07EnmccfBHqu+WfRl+oEZDXP6LMY14+/dN1H9YNxN+1SJUVKWZlwB89vFMY6gc8wtUEZJw6XWtsZFh9wW6OHNALbDpcxiZq/gnG5Dg7TRdjhdp4+Csd2BzmbWxswODSqh5mfPKjM7xMyiURs1cZF8Lc2sBy69cTtJM9PSaXBqZ2ZFtw10EMu8E6/co+QXgT+I6MiE2hHRzcBtx/9Nnw0pNMZp912Gc4Q0Mew+ADOWm/G5Gc+ZMcyMl8yYasYmzFbiPle74JxrlwB7MJAd2Y5PgA+JqOOWmBUUiqlPTLp5TN+OuHTllwuZYxyuOMsZOKd2lIdw37PC6vDeDIzEOd9vlHQC8K+ZfV/Ew/AkhjOBNwlbISEh5YrykU7r+Banh98m0YaUR+Si9D2ecoJLDzkZOGv70Irjr76zQcrttxe8ycMPP8yTTz7JmDFj2GWXXbjvvvt48cUXmTdvHrVq1cozfuxYOPZYWMIO7MC/0eY5mO1VvAfj8cRHYgDuAreVGRsSbU9uJKrgUrr6mvF8YeM9Hk8FIqL9cBff5xC2VwAkknHpl/8Bh5W1itUSJ4dCPJ6WRsu2bUk74ghC7dvDDju4/iVLYNo0GDeOtDlzCIVC/JaWxjVmfITUDFd8IBn4BrP5MfMK6AkMwBUxGAQMNCNulFa5JqLJwHeE7RoAiQa4aMLuZnyaUNsqKhF1B8ZSZ3fjv98WYGl7ErbSS5OLqB4QBm4FmgP/I2wPldC+quEW6jvitPceBz4lbBkFbSbpOWCFmeWRIJHUH2hrZj0L232Qin47Ljr2CklHAVeb2YlB/wLgZDObXsg8tXFFYY4BLsZFtf4LXG9mqQVt6ylFItoLtyB1KGH7MtHmFBsR7YaTvWhP2ApZtkowEVXF3UtcTtjiVfD2FIB34nnKLUlJjGjVivN//ZVQUgExpWbGnXfeyYgRI1i7di2dOnXiqaeeom3btnHH9zojg9/encWU9PZZbZuouqQ6m5oXVIFNogau6u6uwE9mQbigx7OFSGyP01+50SxnOcSygEQnnBbeXmYUEg/r8XgqHBENx+lG7U7YRZNJdMFF555rVnDkSyKQSAIOAcJVq7J/Whq7Z2Y6beikJNJCIX7evJlvgFeAr7dM646quAie/kA6cBcwwoyKE+ER0d/AI4TtMQCJ9rh03j3MmJtI0yoSkvYChicJddpZHZ+86ZBQl7NHJn0+oHXmFc+lLfjlH/4CvjWzkimYEFESzml9EU5vMQWXubUJqBloYpcMUadlNkuBZ4EXCNuvuYdLqoUr7tLZzObm6hPwG3C5mX1SlN1L2gGYb2a1JQ0AzoWs73DzwJ5LzeyDAuZ4EhfBOh941swOk3Q3sCAotuIpC0R0D+4z3qIwR3G5IqJ2uGrnexC2sn9ejuhrYDZhuyTRppQ3fDqtp9xixuA//iD07rsFj5PEPffcwz///MOGDRuYOHFivg68X3+Ft94W16Y/nKP9dXo2ARZJDJc4T+IcidslXpD4VmIZsB74CXiHQkL3PZ6CMONf4Hlceloo0fbEoStOa6nsXyB4PJ6S4FZcZNp90QYzvgeGA49KOaqslgnMyDRjghmXbNpE28xMquPS8OpmZlJ90yb2MeNyM77a0khCMzab8RguTfAlXETeLIkeQbRe+cZFTDQhZ+psNH24sFRDz5axDDgh42U+f/7yKinXvrAuacWmWjw8Yaek6QO0o73CxSXiwIuoJRHdift/jsOlllbB3StmAm+XqAPP8QWu2ESUxjgpnflE9DURnRutjh3QC5iR24EXcDjOAflZnD7AOe2UU/O6FzATwMxuNbNmMXqSi4DjCnHgdQXqmtlYXGp69DySCeRN/fEkBicF0Rt4vUI58BzlSRMPXFS/L26xFXgnnqfcYsbs5GReu/RS0pcVQ+3Y9HQ4N5zGnklz6cnr2fuB1KU07oW7OemM07wYhdOkORfn0GgYOxWBdp/Hsw08AuyIu6gsa3QFvisoMtXj8VRgwrYSd3N9RS4Nq9twBRHuT4hdW4AZ6WasNmOtGcVyI2fGSjOuB/YApgPvAl8GUYrlmWbBc6wTryWwvAxVJK4QmNlSe4XtIenWantfn5wcqs5HH31E4506c+qTNVI69+f7lGQdWAK7noIrktI0eJ0S0ydyRsiVDE6bbBzkuLaILmR2xenOPRLTV1hBixeCYi9ZSLosqEoMzhH9haSZkn7CRSCevTWmB9WgH8RV8Saohvu7pFnBvH5xv+zQAWiNq/Jd0ShP1WnBOfH2IqK6iTakvOGdeJ5yTUYGl69Zw7KePcnYuLHw8flhBjdcb/w41Yik96RKdgbMasFpN9ojr5txtxn7AmfhwutF/O9QChCJ0+7xFBkzfsddYNwSpIGVJXxRC4/HMwr4GhhKRMkAZqzCOfcuD9LuKyVm/GZGL+AAXMTidxIRiVaJtWyraRk8/xnT5otalAQRCaUMT6u1G30fm0q/fv1YvHgxc36eyzvvvKs3r6Z+zaq8EaSLFt8+3fVGftcaglLTPfwY4kbCZuIcE1kFLMzsgPxSVM0sbGZ3xmkfZmZ3BH9/b2YdzKxdULn4ZDP7I5/5WhWkh2dmaWbWzcyWxbT1MbO9gwIzq/Lb1lPq9AYW4HRcKxrlqbAFOCeegP0SbUh5o6zdGHo8W4QZq9PSOOGrr9hw5JGkL1265XNs3Ah9+mBPDpF1yxx/697Mvgd4GBdl1wyzHBWvzIjgdHX+g7ir96nAGRJdyqDzxVO+eBDYCzg+0YZEkWiESxnzTjyPpzLjUuuuAPbFCbhHGQV8BQwNCl5UWsz4FjgIOB1XcXaexMMS9QvesszRAndTuCxXm3fiFT9nZmakdzv3xWYpPU4+me7du9OgQQMOPfRQqrU4kpb7XWCtd1CjC7qxc7HtMWxG2K7CVYuNd107m7D9G6e9JPgE8pw3DFccogth+6iU7PBURJzmYy/gNcIVsjBA+UqnDdvfuMUhn1K7hXgHg6fcY8aP6ekc+MMPLN11V9KfecalxhZhOz75BPbck7SRI9lkxsmfWPeBmN2J2c2YvYRZ3MqgZkzGrbCvxKXPRsnACT2fA3yH09EbJnFsIHzt8RQZM2biBJJvLUO6StHVsu8SaoXH40k8YfsJp/82gIi2Bwj05K4A2uOcApUaM8yMt4A9cVGKFwK/SlwTVPouD7QAFubSRGtJzsg8z7YSUb1Mkp/sM7oN+3Q5gssvvxyAww47jGnTpmFmrG51u1ZvIGXERVxTAhZ8jHPUZpB9bZsG5KsDV+yE7XdyOoczcU68ycDsUrPDU1HpijufVcRUWih/kXjgdfG2Cu/E81QIzPgpLY3d//uPpy69FGvalLTbboMvvoAVK7LHrV8PkyfDI4/A7ruTdswxsGgRYzMy2M2M97dwn7NwPwZLyL7YScbpabTERScMx62+jwGWS7wZFMVosM0H7aksDMT9uB2caEMCugLzzVhR6EiPx1MZuBtX2OmhaEPw+zgIGBBU2670mJFqxhO4SObncO/XHInTytAiTX7Ec9j5SLxiRzeM+TGjQeSTXxk7+lEO7dCIUw9pRpt/b+eEPZdzSPtGdD+8M4P6NCYlWVcSUati23VEDXEps6uATsAvOGdeCBcdV5p8QHZK7QhcNsKJwJNB6q/Hs7X0xhVlm5loQ0qIqkAGYStCOEuZ4RugaxAl6SkisgoZSeqpzEjsClwYCnFhWpq7eahalUwJ27TJheinpLAuI4NXzXjObNsiiiSa4Cpq7Q5MC3Tzco9pAZwE9AAOxeX/TwLeA94P9M88nrhITALWmXFsGbBlHPC3Gecm2haPx1NGiOg04E3gUML2JYBELWAOMMGfL/IS6OPdD4RxNzE3Bum3ZY+IPgUWEbYLAYLMgk3AGWa8mVDbKhIR7Qvckrt58Sq2+3oeh3fbg8+2r8vqoHkF0LdYKsZGVAf4HGgEHETYFhFRLVwhiZbAAYQtdZv3U3R7DgJeAQYStqFB26nAG8AAwtav1GwpY0jaDve/ilID2BlobGYr44z/H3AeTupnE3C1mX0f9O2Hc5JWx1XfPcfMFseZ4y7gTuBUM3snaBPwO1DfzOpJuhPY0cz6BP0H4e5zDjOzCUHbMGCZmfXf1vdhq3DarYuBoYTt7oTYUNJEdCHwJGGrCYV/XiRNwH3H1wT9I81sULypJd2E+ywlAfOAC8xstaSmwAtAK1wE4Hzgslh9yJg5jiN7we8GM/uEiDo9P4EfHvqQwXP/tmu3/uArF96J56mwBCvbTXApPdvjTjqrgBnAH8VZWTOIrBsIjDbLcbKMN7YucCzOoXccUAeYhXPovQdM9VU/PbFIHI8Tc+5gxvQE2pGM+w7dYsbTibLD4/GUMVx0zBhcdFb7oMokEqcAbwOHmvFlAi0ss0h0xlXcPATnpLjVjN8Sa1UuIpqL05C6C0BiF+BXoIsZPyTStMqApCTgD+BVM8vj5NsmIqqO++7uARxM2OYX6/zFiXNQPAfcSNgeTbQ5ZQFJNwLdzOzEOH3tcfcVe5nZOkln45x4XYLP1C/AxWY2PphnPzM7I848dwEnAEui+5F0JDAAaB048Q4BnjezXYP+/rgIyrFm0fOG5uGcO+OL910oIhEdjnNo7UHY5ibEhpImosuB+wlb3Iyv3J+XwIn3uJm9W9C0ko4CBuM+I/9J6gc0MbO+krbHfQ6+CsY+DDQys/PjzDMFODV4+baZddqruZo1qs1fY29hYLXz7PatOOpKiQ9b9FRYAh2av80YY8YLQdTd20HVuGJ1kpmx0oxLCnPgBWPXmPGaGWfiVj2PBr7EFdL4HljodfQ8uRgD/AT8L8F27AHUxhe18Hg8sTiB8CtxqaLXxfS8izt/PV2O9N9KlcAJdihwMrAP8LPEY2VGdsM5aFuQtzIt+HTaUsHMMoHRQO9irkobCuZtD3SP58CTdIykKZJmSposaZ+YvheC9umSfpB0RLzdSOoejIk+/pb0Y0z/m0GbSaqXn7k6Cxpdxr8dbuOR5y7R3THb3yMpvFXvQfnnIpxjMx6GS4euGbyuh4u4A+gIpMc41IYDJ0qqRny+AnaRtEPw+kLg+Zj+yUBTSc2D14cC9wTPSGqCO28kMtq4NzC9wjrwHNEo6fwo6PNSEPsAX5nZf8HrMTj9d8zs36gDL+A7yLcSexouGrAmLjqU+f/w2INnomoh/kdEe2+FbZUS78TzeBJIoJHzmRlXkq2j9wyueEBUR+8NibPLzAW9p9QJhOIHAj2DdPFE0RXYiHMoejweTzZh+w14ALiTiFpA1rnrKlz6znUFbF2pCRYd3wP2xr1P5wC/SdxQBhbzGuLS7WIddvGq1XpKltdw14n7FTawSDj9qeeBI4DjCduM3EMk1celtZ5nZu1whVleiRlynZm1M7P2uCI2bwQRXjkws0/MrH30AfyYa55hOEdiYfRf/h+7XHk0oz6ezh1EdLqkvYB2ZhYpwvYVCkkHAPVxmRp5MLMZOG3SPyQtwp1brgq6czjmA+fMWqBpAbt8GTgvcLR2JkYr0cxScbIAh0mqCuxkZmOA5oFj8DDgWzMryMFUckRUBTiNilvQIkpV8ilqUcDnZaCknySNlpRf1eupwJGSdggWEs4CakvKcW8qKRm3oPdePvPcjEvTfxG4UdIJezajyn67Ipyu/FgialzoUXq8E8/jKSsEF/HTzLjLjA64VYzbcCtnLwBLJcZLXCuxUwJN9SSG13EXXDcm0IauwBQz0hJog8fjKbs8BPwNPB5tCDRfHwDukGiZILvKBWakmfEUsCswFLgPF5nXK4HFL+JF3bUE/vLSH6XKNGB+FTgTqR5SylbP5KIrBwO9gFMJ2zf5jNwFWGFmswHMbBLQQtK+wevVMWPrFmXXgX7WEcBL0TYzG2dmS4uweQZQ7ZJnee3ftczPyCSyfV1GQYlU6i09ItqeiDptxZYXAaPM4hcxkLQTLnVxVzNrjnPojd56QxmJ00Q7C3dNmvv7Px4XebcfLrMIXITe/kF7YtJoHUcCDdi24y8PVCP/yrTxPi/nmNnuQDuchmF+DuHxONmHD3H/0+gCTtZcgXPvaZzszuB85plkZvuZ2X4EGUaf38aSQR+TecZg6PsCTTal8RGRfCNCPQHeiefxlFHM+NOMJ804Cpd2ew7wL64S4O8SMyXulegs+e9yRceMdOBh4IKgmEoi6IpPpfV4PPkRtk1AX+AUIjo+puchnKD444kwq7wRyG7cBrTB3Vi9BnwrcVACzIk6XhfGtPnKtKWMQYsv4L/lLpJqFbAK6Vmco2ZLuRu4AjiLsBVUeXY+sF0QwYOkk3CSGq2iAyQNlPQbTvvytCD1tyDOB8YU0WmXm5uBzzKNW378gx63v870m09gb3uFZlsxV9kgoiQUeh/4gUjedGRJ58akIV8Q014L6EnOlNbcnAb8ZGZ/B69fAA6UVAX3/c1aVJFUG+eI/TvPLAFB0Ys/cUUuXogzZDwu4u4wYELQ9mVM2xcF2FrS9AYmE7YFCbShNIgbiZff58XMFgbPZmZDgJ2DYhh5MLOnzaxT4ICbACwys7UxQ54AdgR6FeE8AG5x7/5l/3HS+1NJeuMaaFibpMjX7Au84CtRF4y/8fd4ygFmrDbjVTN6k62jNxF3MRTV0RsqcUwZSL3xlBwvAquBa0t7x0FBlj3xTjyPx1MQYfsUF6XxJBHVADBjM865d7LECYk0rzxhxkIzzsPpV20AJkm8LdGmFM1oAfwbOGhj27wTr7SQ2gDfHwb71iYrIrMWLrLme6Q9izxXRNcB/YFLCdsbBQ01szXA6cAASVNx155ziIm+MbNbzGwXnIPgocBBlM9hSDgtta3R5MLM3jazfc2s24ZU1j30IWuv6s4nN0f4vHEdjZV0/9bMm2AuxNI706BTJkmhZ4goxzW8mY2KSUWOdZz1AmaYFajv9jvOaVcreH0C8EuQ+joVCEk6LOi7FPigCOmu/YF+ZvZrnL4fgMa4SL0JQduXOAdaE7Kj80oXV7zlZCp+Ki3kr4mX5/MiKSUoShF9fRrwr5mtiDdxoGuIpBo4vcOHYvqewEWQnxJ8vgpEUlegrr3CL6npNIu665IE6zeTFNibmCrG5QTvxPN4yhm5dPRa4C7un8VFSX0MLJN4PdDRq59IWz3FixkbcekQl0vUK+Xdd8bdPHgnnsfjKYzrcQtOt0YbzPgMl8r0pESNRBlWHjHjR1wK4gnA7sBsiSckGpbC7uM57FrGafOUHA/jnCPxaIhLc8uJdCzSO0h/IP2M9BD/083AY8BNhO3ZouzYzMabWTcz6wjcgNNMmxNn3DhclF7bAqbrhkv3Kyj6r6gMNuO6Ha9k6C//sGbpMNq3rcYho6XxwTHPRRoUOEDLFJL2kvRV1ZAmH3AXw35I66kFLQYl1bsobaddr2eupAlB1GNBxC1QEBT5uCx4+Q7wPjBF0gxc2nEYsoqlnA0MlvQL7txSqG6pmU0xsxH59KXhCmDUjjqLzOwX3Ofiq6A/ERyLc3q/nqD9lyb5pdPG+7xUBT4K9PBm4KJzsz53uT5LAJ9Kmg3MwP2fhwTjDsRFCLcCvguiRt/Jz0BJIeBB3Pmke7sWZOzcGPb+H4z/Gc528eYC7iai3kU/9MqFzCzRNng8nmIi0Bs6CeiBu1gSLmLvPeA9MxYkzjpPcRBExP0FPGjGA6W4337AJWZZ+kgej8eTPy7iZyDQjrDNA5BoCswFnjCjXyLNK69IpOBuyO7B3bA9gHNolIxgfERvAUbYTg/2L1xU4BVmcVPqPMWJ1BhYQhB4sZbavMVpfE8Xpoc68692IJMkVqjhL+s2V5kM/DiTtvu0ZdYFeeaqBpzNyzxj5xR992piZkuCv+8D9jCz04Ib8ZbRiCxJXYCxwC5mtiqfuV4C/jSzuN99SQbUz6W1F29cL1wxi9slnVQtRM+Nh3LEBZ+xw6nAiTFjM9HGe+nf7y7urpuczL4pKeyFK9SSmpHBL+npTAU+Bz4vLY1Huf9pqr2S9PjspXXPunh065TIq6M5v+cRTLh2QRpk7kk4bqSbZ2uI6HWgIWE7PNGmlDgRPQu0JGxHJdqUIhHR+8Dx5Awsy8DpLYaAYYTt8kSYVtbxTjyPp4ISRGodi3PoHQvUAWbiVuXeA6YGlQMTShCCfRJuZb+DmU2P6TsOJ+ydBKQAD5vZyELmexEnvFvfzFZLakuMgDKuUEgdM8tT7TfYXzQ8/AYzpxUj6UJgBzMrNadZQUgMwN3EtQyi80pjnx8CG8zoWRr783g85ZyIUnApW0uBowm7C06Ja3CRRW3NmJdAC8s1ErVx1UJvxImM3wa8WuyOiIh+ACYSthuC/TbC/U+PNOPzYt2XJy/SbsDcxTSlP/fxWtKZZCaH6NQ+g/ZdqtC8OUiwbBlMm0b6D99nav16ko/Rp9ybeRv7Mi33jP8ALSlCypvbvZ4BDsZdg30LXBVcW9UAPsPpqKUD64H+ZvZFsN09wN9mNix4HdVba2tmv+fax0fAPkCzYMx8Mzs0H3vq465hjzazTZKqNIHxDeGAnYA3cXf+mYiRnMcjoVuZk9aG5s0tbb/9lLLXXqhWLdi0CebOxX74gbT586kSCrEkLY1BOId4kd6bbSKiQ4Avf9vxCc6/7XVeeuklOnXqxO6NN1idKpv+/fJna7d+s/nqz9tKRLVxeuLXEo4fQVihiOgloB5hO7HQsYnGad6txt2fAhgu+GQMMA5XxXoKYVufEPvKON6J5/FUAiSq4CpD9cA5zJrjRMajDr0JgWZRAmzTITjdjq+Ak6NOvEA7ZQVwqJnNlNQKF8HRyMz+y2euU3EOyz7ks5oraQhOw/WqOH1TcJW8AN42s06BXsRrwFH5VQArbSR2ABYANwSVDEt6f8LdJD5gxmMlvT+Px1NBiOgA4GvgTML2GmRFkk0BlgNHlYXFpPKMRDNcVN4FuJueG82y9Ki2nYj+BR4gbIOD/XXE/f/amDG/2PbjictC7VjtbU5d3j/5gZoNm4S44ZYqhMNQPx+xlM2b4b33YNDDaXw/NZlr7HEe4Daq5bzEC2P2amnYXypIb+C0+wD4lV24MHkUX2Xuz/nnGZddnkTnzs7ZGY+ff4ZnnoEhQ8gEfklL41wzfigxeyOqQlLop9TtDt7lpEdDyddddx2HHnooqamp1N44nRG3HcLgsXw5e1F8R6ZnC4gojKuq24SwLU+0OSWOizpMikZOl3kiigZx/AjMwt2b3kjYOf89+eM18TyeSkCgo/epGX3J1tF7DjgAl/4Q1dE7q7R19Mxsopktyq8bsrTf6uCcenGdjYGz7TacFlNcJFXDCe7mJ6qcBtQAakLWSuwg4H9lxYEHYMY/uMpgN0mESmGXuwDb4fXwthhJT0haIMkktc/V11rSN5J+kfSDpL3ymSNJ0mOS5kiaKWm8pF1j+k+QNFfSfElvS6qTzzwvBnZ0iGmrLWmdpOnB6xck9YvpPzvYplVM21hJF23lW+KpTITtG9z5dhAR1YWsStuX4zTevN7NNmLGYjMuAjoAK4HxEu9L7LHNkztB+Mbk1L+LV63WUwJIJLVKWjj4ej1es+9NNZk1rwp9++bvwAOoWhV69oSvvwsxbHgSz9a4mu7Jn7OW2rHDWpWw6aVNVoXe7+nMfslTWbNbZ777Tjz/QhJduuTvwAPYYw947DGYM4ekAw+kdVISX0v0KG4jJe0g6YwRXzA+Ld3anDe8RnKPHj3o3r07VatWpXbt2tD4YM46+2zLyOQgIvF/yz1bRG/gs0rhwHPkp4lXNgnb+4TtScL2NWFbA3xPKgdQQIEcj8M78TyeSoYZZsaPZtxpRnvcxU8/oAGu+ukyic8lrpESd6FnLky4F/C2pD9xkXrnFVD16Bng5vyi9AJOBX6PTdnNxc24FbsXgRslnYCr1JSYiloF8zBBKfdS2FdXnIMzT16Op1DeBA4C/ozTNxwYYWZtcCK/L+Yzx0nAgcA+ZtYOp9/zAEBQde45XBRra1wqUkEVvabiqgNG6QX8HPN6PC5qN8phwHfRNkkpwfF8UcA+PJ5YbgGqAHdHG8z4FleQ6bFA59OzjZgxw4yjgWNwv+s/STwt5VsQoSjsGDzHnr9aAP+WmAafJwuJRyX6vPW2GDAAamxBOZikJLj4Yvh6cgrz6nXhpOQxpJMc7V5QAuYmkj8A5tGGo5K/YL8javLN9yE6d96ySXbdFcaNI/nCC0mReOtgTToD6RSkE5Hqbclccuwi6XxJz0maDyxp1ZDXzjtE+1/6Vlv26XQgl1/u5L7WrFmTte34lcdqj+YpScC9W3YEnhxEVB93PqwMVWmj5Fedtuwj9eR6duUCzgE2I32HdG6izSqreCeex1PJMWOBGU+YcSRuxf1cXJrTvcAfEjMk7pHoGKRVlgqBs6AfcKqZtcRFbbwkKU81Pkl9gL+iWiwFkKM6U+4oKTObZGb7mdl+wPbAq8CRwZhPJQ1RrtUhSW0lTQwioWZJel5S9Zj+/STNCKKtvpDULJ/jvTCItJomad+Y9nskhXOPN+N3XKXHW6QSP5d3BaaXlv5eRSK/SNNA2LoT8HLQ9BawY2yEXew0uAuzakGaeR0gOuexwLRoJTjgaeDMAkx6GzhBUtXg9QXA8zH944H9Yz7nBwEDyHbsdQaWm9kfBezD48nGRUD8D7iKSI5o1Ftw8lX3JMKsiooZnwDtgUuBk4FfJW7byorA0UJGf+Vq85VpSxiJ48y49sUXSTr55K2fp21b+OTzEJOT9meAKxb9D+73piLxdCohzkoZTeu9qvL2eynUrLl1EyUnw/DhqMcJGcl/pLR5fSX138ZJz/yNNBSX0ZGHIGK+raS+kl7D/Ub/ilusa42rjHrsnEeSX/hspiny0XQ+jjxg3drVsVMObGBfPNYlvcOuNe2QtnVs8H1X2GMX1DbQlUTUaOuOxAOcgiuQ8F6iDSlFqlKeIvGiSPcDo/k3a+EIoAswEieD5MlFSqIN8Hg8ZQczVgERnNxoVVyF2x64yJ3+wGIpS0dvfAmL/7YHmprZRGeb/SBpES5l6LNcYw8DDgki56LMlNTDzKYBSNoJ54w6LWbMm7hCFl/FThYIJ0eAa3BRT28ATXGizmdBjop8m4ArA92+5GC7/wF3SUoCXgEuNrPxkm4EHgfOiHO8/YG9canOtwGnB+mV7czsjnzeo4G4Uu/HAx/kM6Y46Ap8U4LzV0Z2BJZE07TNzCT9hbtBzl2V7gPcZ/wf4D+cZki3oK8FOaNkFgBNJKXkkwK+Aff9OVnSDJyIcFYknpktlLQE2C+IgF0JfIqL/CSww0fhebaU53G/I0OJ6EDClmnGCombgWckXjTzkb7FhRkZwHMSrwE34H5TrpC4HXhpC4pftAA24qQsorQkfmSxp5iQqJqSwotnnEHm2Wdv+yLdPvvAwIeSufH6u2hsS2+81IaXfOGG0sRs/OV67vM5SXsfMe31FKrFdbMVnaQkePaFZNrt0YBblw1kOJeCq2h7GU5T+kS56rwdcUU/DsFFy9fH/UZ/AzwFTAJ+MLPsyKiI/jlhXzZuetGCoVFWcUre5YxFhH1xi22gNzAmSNOsLJSvdFoAaU/cb1R+9EV6CbPvSsuk8oB34nk8nrgEhS4+BT6VuBLYF+fQ64HTM/pP4mOcQ+/jwAFYnCzEOSP2MLOfgwilXSBvNUMzOyv2tSTDOb9WxzRfCLwT2xZ1ECqvWEoPIM3MRkhqh6ue1AkXnZdDV8PM5sf8nSHpB5wzDtwFXrqZjQ9eDwfuk1Qtx0WdIwP341sTSA0cgIOAi3Mbl70/ZkqMAW6V+LAkBOKD6I19wBe0SCCdcJ+pZsBanPN2GHD2Vs73PC76aQY5HdJRoim1fwJfmtlGSUsDR/ih5Kz27PEUTtgyiehynHj1RTj5A3Ap5BcBQyUOKPbKqpUcM9YD90g8g0tnfh64VuImM8YVYQrnsAvnqILXAphY/NZ6YjjTjIYPP5yd/XDLLbfw0Ucf8eeff1KzZk0OPfRQHnroIXbcMTtwpVWrVvzzzz+kpGTf3r322muccMIJXHUVPPpIUvpli4fvf6lbXKwwSIRCoYv2vrIv7LabayvK+xXlr7/+om3bttSuXZtFi1yQ+3bbwe13hbj+qvO5L/N2GmVf+p1wrCuCtifOsbcM56y7B/e9mFmghnLYpgN5Cqt5ipmIGuMyeArKTKiIlMdIvCyN5c1UYSbtmE57fmMXNlOV6mykGpsevNNVtp8VLFJVenw6rcfjKZRAR2+qGXeYsQ/ZOnoNgVHA0kBH72opS/S6SEgaHkTYNQc+kfSr26f9C1wCvB5EDL2Di3j7K9juHkmXFXEfScD55F/QInZsCFfdNl3SAWY2E0gHauNSC18uYNuawbbR0P0cUVKBXt9aXFRfbm7GRUjdgrsYvAL4yMwKi3gYAOyPWw0uCfbFLfj4ohaFIOlcSdODxwWFDI86qVOCbUX+aWrnAl+Y2Wozy8TpNh4W9P0FOb5zrYiJ8IuHmU3GfQZ7E18rZnww/2GQVeXyS+BoXLSBj8TzbDlhmwE8ATwYTRELnHaX4xzVfRJoXYXGjCVmXAK0w+lmfiYxRspacMqPeOckn05bwoRCXH766VizGPENSbz44ossX76cn3/+GUmceOKJebYdMmQI69aty3qccIJLUEhOhuuuV0pyMheVUkGs0uSYtDS2v/rq7Iaivl9mxgUXXEDXrl3z9J13HlSrLl7OtV52nnPeXQPsAWxvZqeZ2eNm9mNZKoJWyTkdF0X8UaINKWXKoyZeo3m04VoG0TRlKV34gWurDuWTPa5j8r5X8EHrG7g/5a5uwPRQiMUS9wZV2Ss13onn8Xi2mBgdvSOARjgH2XLgPmCBxHSJu4uio2dml5pZczNLMbPtzWzXmL5Xzaytme0TPEdi+u4wi1+C3MyUK+Iu08x2jImIK8ieNDM7CJd2O0DSVOAXYA5wm5nFjTgMNMRGA5+a2TuF7SfOft82s33NrBuwHhcNOETSA5JGy+lFxNmOr4Cvcc6/kqArbqXZa6AVgpmNMrP2wSNehFvs2KW4qKTo3cFpwCIzy51KC/A7cHiMTt0JwKzg77HAvpJ2D15fQdFEnK8BbsynEMx43P+9G9mp5l/i0vIWm9niPFtE1IDRNSYTUb7VoT0e4E7cjdXAaIMZM4HBwEAJr/9Ugpgx24zjgaNwjvwZEiMkmuSzSQ6HnUS0Wq1Ppy0hJKpmZLDvscfmvEcbMGAAHTt2pEqVKtSrV4+bb76ZGTNmsGpV0ZMgjjkGMjKohnPmViQO2HVXUlu1ym4o6vs1ZMgQateuzZln5g3YqlkTDj4kiW90YI723u467xkzmxsUYfOUPXoD7xO29Yk2pJQpV+m0EtWP58Nme2s2H+x4BdffVZeff4a161OYNqcq306tyk+/VGXdhiR+/BGuv57tt9uOW5KT+VXiWqnyZpV6J57H49kmzFhlxitm9MI59I7B6YFcBEwB/pJ4SuJoiXJTMtzMxptZNzPriHNeNMU58vIQRO+NBpbgnCNRckRJSaoN1MVFQhTEYOB6XOpiUzPrBTSXdFg+4wcAx0rsU9hxbQVdgcklkapbGcgv0jTgUuBSSb/gnLAXxGz3rKSTgpdP4ZyoMyTNxKWIXA5Z0Z19gHeDuZtThIp2Zva5mY3Op28J7rO71MzWBc3f4CJw84nC00AyU/eDpAeJqE1h+/dUUsK2FrgOuJBIjjvju3DOvQcTYVZlI0il7YiTmTgOmC9xh0TucgC59e+iuYg+Eq/k2Cszk5TCKqt++umntGzZkvr16+dov+2222jQoAF77703Dz30EGlpaVl9u+0G1auTgfvfVxhSUuiy//4FX1/Ge7/mz5/PQw89xLBhcdeDAeiyfzJTQ3mi9MZsi72eEiai5rjslMpUlTZKuUmnlWgWCjFlfPXjuj02OIVf/qjC7bfD7ru7yOFYQiHo0AEGDoRFi0i57TaqJSfzaEoKn0nUScwRJBbvxPN4PMWGGZvN+MSMK3AX+51xmlsHAZ8AyyVGS4Ql6iXQ1EKRFBuZ0B+XzpgnSipIh3wNVwDgklyrslOBUIzz7VLggzh6eLHz9QJ+NrOfcPp40fkygVr5bDYGF5lVEtF4XfGptFtNIZGm88xsfzNrY2adgv95tK+Pmb0f/L3ZzC42sz3MrJ2ZHW1mv8eMfd/MdjezXc3sZLP4Is5mdr6ZPR6nfYKZtc/VtruZdY15vc7MQmaWN4U9ov3BLma/56DObqCUYUTyCk16PAFv4KQDhhFRCMCM/4BrgQskDkqgbZUGMzLMGAm0AR4AbsI58y6SSCaiJNzveO7KtOCdeCVJPYDGjfMfMG7cOO6+++48zqeRI0fy22+/sXTpUoYNG8bTTz9Nv379svqTk6FePTJwBRgqDMnJNNzS9ysjI4PzzjuPAQMGsMMOO+S7baNGsDozh4/ga8xyF1fzlC16Amtw9x2VjXKRTivRJBTi6xYtaDN7tpKvuiqv4y4/qlWDe+6B774jqW5dDgqF+DzOAlSFxzvxPB5PiRDo6E2J0dHbGecMa4TT0VsmMU7iqi3V0SsuComSukfS3KCtJTHCq7n0+HoBp+I0naYFemhPgUvjxaVLDg6irU7ARaHkZ099oC/ZkVRjge2C6KsGwes8BFFyA4GeErts0ZtQABLNccUUvBPPkwdJkyQtvzGS9B6Nu2Ww07mMT7s8Zf870g9r2pfZkr6QVGyfR08FwRVJuBLnPIoVeH8TV0xpaAXU7CqzmLHBjAeAXYF3cQWYph094JOeQBVyOuxa4ipcr8g9j6fYSAeICaDLwYcffsjpp5/Oyy+/zDHHHJOjr1u3btSuXZuUlBQOOugg7rrrLl56KWcdovT07H1UINK29P16+OGHadiwIWefXXB9qLQ0SFYmuAXVd3HXcZ6yTW/gbcJWLiLSipkyH4knkZSSwstNmtD0669J2WmnrZunY0f46itSqlWjfVJS5Su+5514Ho+nVDDjDzMGm3E4TlPnfFz02gPk1NHbtzAdveKzqcAoqYtjopvOyaWxl6XHZ2avBBp8+8ToofWNGfttED3VxswONbOFBdizyswOiUbqmVmqmZ0UbN/DzPK5TAVcOu9fuGiK4qIr7sL1h2Kc01NxCF95FJ/WrGoN6TI8GYldO53M58+eZ38/HWq0UyOGUoTUXk8lJGy/4FJn7w5Sn6KLEX2B1sDVBWztKQHM+DeIot8b+GPNxrqvAlz/8qPVY4a1AP7y8golyu8AP/+ct+OVV17hrLPOYvTo0ZxyyimFTpSUlERscsCaNbBsGVWA34rN2jJAaipzZ8/OW7GyoPdr7NixTJgwgYYNG9KwYUOuuuoqlixZQsOGDfnii2zViJ9/hmps/gvYBbNTiLkW9JRBItoVlwVUGVNpoXxo4l2emclhr79OaPvtt22i3XeHZ58lJTOTSySOLR7zygfeiefxeEodM1YGOno9cRVujyVbR28q8KfEEImjypOOXiIxIx14GJeOlp9I+ZbSFVfOPV7xA08lx17B2u+k09ToIFFnNwB23HFHanR9VKTUrNf/FM6CvDdWHk/AAGApMCjaYMavuKjiu4NIYE8pY8ZcM3rccNyjd2Vmiqc+7fuRxPNBNUBfmbaEMWNRlSos+/bbnO1Dhgzhyiuv5MMPP6R79+55tps/fz6TJk1i06ZNZGZmMnnyZO66664cBRu+/z7rz+9K7AASgBnfffcdlhHza1PY+/XGG28wZ84cpk+fzvTp07nnnnto3Lgx06dP58ADs+U6v/qKtEVp27+LmS/uVT7ohSu0l49+bwXGSSCkUIbTaSVCoRD9rrwS7bdf8czZsycceyyZoRB3Fc+M5QPvxPN4PAkl0NEbm0tHbyRwCC61apnEaxJnlnUdvTLAC8BqnLZUceD18Dz5o+QnVKV+Mo0PztledTv+221AyrDP6dHvZD5MjHGeMk/YNuLSak8noti8wAeBf4DHE2GWx9Gz6xvrJPs7NaPqObhiOvNxxZYKK8zk2UbS0njv+edJy8zMbrvqqqtYt24dxx57LLVq1cp6TJo0CYBVq1Zx5ZVX0qhRI+rVq8cFF1xAnz59ePDB7Foxzz9PZijELDOWlPYxlTBj160j5b33shsKe78aNWpE8+bNsx7169cnOTmZ5s2bU7VqVQBmzICffiKEL2RRnugNvEHYKlrKeFGoGjyX5Ui8k9PT2f7aa7Mb7r77bnbZZRfq1q1Lw4YN6d69O9OnT8+x0cyZMznkkEOoWbMmTZs25a677soRZXzTTSSlpdFFqlhFewpCvjK2x+Mpq0jsBJwE9MA59QyYALwPvGfmIwJyI3ErcCvQwozVW7htMyDNjKVBBOQaoK8Zzxe/pZ5yTUTHAR+9+O/1LFhTm7vuuiura+PGjZx44olcfcjfGSe1+XUWmWkdCZuPyPPEJ6K3gH2AvQk7KQGJY4CPgePM+DiR5lVaInoC6ETYDpCojktxfgCniXcj8FwQAe4pZiT2Ama9/TYUIWu2SPzxB7RujWVkcL4Zo4pn1rJDKMRHHTpw9OTJpCQVU4jKWWdhb77Jr6mp7OZTyMsBEe0N/AR0I2wTE21OqRNRfZxMUXfC9mmizYmHxPAuXbjgu++ydW/nzZtH48aNqV+/PqmpqTz55JM89NBD/P333yQnJ/Pff//Rpk0bzj//fO644w5+/fVXjj32WG644Qauu87JjJtBw4akrVxJPzMeStgBliI+Es/j8ZRZ4ujoXYCLNHsAl3I7TeIuiQ6lpaNXDnga5+y8PNogUb+wFNvgJm0m8K/EUmA8TlujpkRL//56soioBkmh4dTZzbA0WDMXFr4LC98l9bc3OPW4A7ngpLacdNrZyWSm7UPMZ9HjicO1wA7A/6INZozFFboYEpybPKVPVuqsGRtxcg3pwLfAEGCmxPH+t6H4MWN2cjKvX3op6cuXb/t8GRlw9tmkJyUxH6efW+FIT+eOKVNIGjy4eOZ7/32IRFBqKrd6B165oRcuUvirRBuSIMp8JF7Vqhx04IE5C1fttttu1K/vCmabGcnJySxdupSVK1cC8Pbbb5ORkcG9995L9erVadu2LTfddBNDhgzJmkOCAw4gOSmJrqV4OAnFO/E8Hk+5INDRe9mMM8jW0ZsMXAz8iNfRA8CMNcBQ4FqJAySex6WmzZOoVsCmm3ARFuAqCO8f/P0EsABYLREuGas95QxhVD3voXl6+LEnGfXKaI489hSYdAoj7u3Jt99P45lhj3PoGbdzxQuwOSNUJ9EGe8owYVsI3AXcGoiSR7kO2J4Y515BSPpU0sygQvgkSR2C9u2CtujjF0npkhrEmaOtpIlBZfJZkp6XlMeJKOluSSapfT62HBdsP0tS95j2CyXdVpTjKQPk1r/bHlet9gFgL2Au8CHwucS+pW9exSYjg8tWr2Z5795kbNoGhSsz+N//YPJkSEujp1nZvcHfFsyYasYdN99M5oQJ2zbXnDlw7rmkJyUx0oy3isVAT8kSkXCptKMJW2ZhwysoUSdemdXEy8yk2c47523/6KOPqFevHtWqVeP666/nuuuuo1GjRgBMnz6dDh06kJKSkjW+c+fO/P7776xduzarrXVrkkIhWpX0MZQVvBPP4/GUO2J09C7H6eh1Ia+O3qsSvSXqJtLW0iaIWvkb54j7Gjgbd+NVG0jNb7tgpfl9IFoBN3d0RR3wQvMeIGzrsbSmIy+jyuyHqPL741QZdxtVgCpXHk2V1c9QZUI/qkxfwOnPjmdd9XPTjpe0Q6LN9pRpBgO/AkOCmzHMWATcCdwq0boIc/QMKnm3Bx4DXnTz2IqYyuHtgRHAx2a2Ms4cm4ArzWx3XIpvTXI5ESV1wWm3/lmALfcAxwWP+4PttgfOgXKT6tOSnE68FsHzn2b8YsapwMG492iqxCiJHUvbyIqKGavS0jjxyy/ZePTRZGxNRN7mzXDFFdijj2KZmZxvxozit7RMMdCMt7t3J/PNN7dugq+/hgMPJH3DBn7MzOTK4jXPU4LsC+xK5a1KC2Qt1JdlR73ipbsff/zxrF69mhUrVvDoo4+y//77Z/WtXbuWevXq5RgfjdyLdeIF81Ya31alOVCPx1MxMSPTjB/M6G9GO2AX3I3fDsDLwHKJzySulLJuQiocEskSD5NXED4atr7RjMJWJz+OGR9LOvAO8Mi22umpIIQtnbClFfRYvcHeSsugq7kInimSOifabE8ZJWxpuLTr7sBpMT1PAL/g0moLTNs0s9UxL+tCvilwFwHP5TPHfDObGfydAfwA2Sv7kmrgUkkvLcgW3GJIDZyDK7p4Mgj4n1k5EFyPqBbQgJyOyha493RxtMGMr3AFkHrjHHq/SDwg4aNviwEzpqSnc9DkySzbdVfSX3zRpcYWYTvGj4e99iL9mWdIBU4345WStjfRmJGRkcGZ6ek8c8YZcPrpZC5aVLRtV62Cvn2xgw+Gdev4LC2NI8xYV7IWe4qR3sAfuHN2ZaXMp9MmJbG8oO9kgwYNuOaaa+jTpw8zZrg1hzp16rB69eoc41atWpXVF2XhQiwjo/IUXvJOPI/HU6Ew43czHjfjMHLq6A3Apdz+WEF19BrhxMbr4KLoch/b+iLMMR7yCJWnA3OAc4rgBPR4cmBms3FRS7OBSZLOTbBJnrJK2CbhIqofJ6LaAGZEnXtHA6fHDpdUVdIQSfMl/STpZUmjJC0EngQa5U55lXQAUB+XBoqkQyVtzJVuWz3oOwy4D+gmabak4biFjKFmtjCXLcMDG76QVBe4OTiWb4FBkk4A/jWz74v5XSspohF1uSPxlpjljOg2w8wYDewO9MP9v36V6CvFXRTybAFmzEhLY/e1axl2wQVYi+aZGXfcARMnwpo12eM2bYIpU2DwYNhn7/TMww+HP/9kXEYGu5vxduKOoHQxIz0jg8uA495/nyUtW5qdfGIGo0fDr79CtOKvGSxc6LTvzj07kyY7WOaIEaw14/z0dI73DrxyRERJOD281whX6oqdZT6dNjWVrydPLrggUmZmJmlpacyfPx+A9u3bM23aNNLTszebMmUKO++8cw4n3jffkJaeznclZHqZwzvxPB5PhSWXjl4jXGrT98AlOB29BRJPShxZ3m82zPgHd5O7gbyOOKDwC1Iz1gMTyY5gyQBW4SpEFsUJ6PHkwcxW4b57TwAjJQ0aJFVDCiONQZqJ9AnSeUhVJapInCbxZNWqTK5alWVVqrC6alWWhEKMk3hQ4pAK5oT3OG7CRbDdFW0Ior1eAB6XqB0zdiDuXNXGzNoCN5rZuWa2I+6zNo+8Ka8XAaNyRcPNi023NbONkqoEtjxrZjsBbXE6cIeY2QuxE0raG2gd2DABOMfMJgHP4vTjxuJScvtJulbSG4HzsSxrt7YMnv/K1ZZvCnEgc/EoLhr+ZVzk4SyJHv67um2YsSYzk6uAPbr+8860EQOW060b1KsHdWumUa9WGjVrZNK5M9x+w0Z2mfPhMuDg9HSOM2NBYq1PDGZ8nJZG61aZv/dd/fG3nNk7k9atoUa1DOrXTqNm9QxatIAePWD26Fl0Tf3ysfR0Wpox0heyKHfsj1t4qMyptFAOIvHMmPj11yQtW5bdNnjwYP79918Ali1bxhVXXEGVKlU48MADATj11FNJTk7mzjvvZOPGjcyaNYtHHnmEvn37Zs0xcyYsWkQVYFJpHk8iSSl8iMfj8ZR/zNiESxf9WOIKoCPQI3hcCayR+Bh4D/g4KBBRrjDjLYlZOG27ncl5jv+viNN8CBwW/J2Bc+AtLmC8x1MoQWrizZJm1IJnD4HzgXoxQ9puoPrRtzDwgVBKZs30jKS67duT1qULodatoWpVWLeOurNns8M333Dw779zc5UqLJC4H3jeR4lWEMK2jIhuBZ4iopGEXWorzgl2MnA3cL2kmjiHXHMzF3lhZv9EpzGz2yVtBLJuFSTVAnriIkPzRVIIV8FzMXBV0FwFaAJsJ2lB0NYcGIPTv6sqKQmXPvuPpCbAmbgIwkE4XbwdgB5mdpiku4GzcM7JskgL3G/G6lxtf8UdHYMZK4HrJZ7CRcC/C0yUuNGsUqe6bTNmzEOnf2jpdFrIjkynPf9u2J5MkqjPKtoxk9YZ80kmcwpmlbVCZxZmbES7jiKDJ9ZTI2UWezM3bXc2plWnCqnsyq+0Yyb10tcAvIhZubvu8wAulfZn4KdEG5JgyoMm3muZmQwaPpxa/fq5hs8++4wHHniAdevWUadOHTp37sy4ceNo0qQJALVr1+aTTz6hb9++bLfddtSpU4fLLruM6667LmvSxx7DQiF+S0tjQgKOKSHIKnXUqcfj8YDEzjhn3kk4XZ9MXETFe8D7ZizMf+uyh0QtXBRIr5jmr8w4uAjb7o67GALoacYbJWCipxLzmxTZxTk4sviCw7goZSQrqzbh+ptSuOACaFGAguW0aTBsGDzzDJaSwndpaZxrxvyStt1TCkSUDHyDiyg+OFppUOIS4GmgIyhaiOc14Eic7tzjZva6G6uTcdp16cDJZjZd0kXABWZ2UHRXkg4FPgDm4xYtRuIWMVYDfXDRZ+/hoss+wkXZpQbbLoiZ+z7ghGCe84DngYdxGqNXmNm5ktoFNh4u6U5gpZk9WazvXXER0X3AyYRt72iTxI/AODNu3pKpJPbHpSEfALwK3FZZo8OKBWln3OesoGyqnpj53+4o0mvkvB7KzVTMOpWWOZ5iJKIU3ILLU4TtnkSbk1AiOh63EF+bsJXZdHCJ+6pX55ZZs0iOV6l2S/n6azj4YMyMi8zK7MJYsePTaT0eT6Un0NEbFOjobY+L8FgLPAj8Fejo3SnRvjykBQVaLmcCV0NWhFJRz/fzcTfEb3oHnqfYkWrsAifGNo3kXI7WZ3Q4rik//5LCnXcW7MAD6NABhg+HKVPQ7rvTKSWFKVLBEVaeckLYMnC6al1xDrEozwJTgKehagjnYJtj7ub7PuAVST9LmoGLrj4h18zxClr86OZjBHAKTsvuVKATMA0XRfYVLoquatCXBzPrF6TingEcBSwEFgXb15fUKyiY8bukWThH4ctb8K6UNvGi7gpMp80PM74FDsLJPXQB5kk8JOWIxPUUFbPfcank+TEWKo8GXhHpByzNp28jcG3pmeIpZrrh9K8reyotlANNvID70tOZ37s36Zu20dIVK+DMM0lLTmYcQUX6yoKPxPN4PJ58kKiGu9mKRuk1wd3EvB88vgyE18ssEgcAXwC/m7FnEcbvjUtJ6GjGjyVtn6eSIe0C/Bp9+S49OJW3ufl/SQwYANoKF/n69XDqqWR8/jkbMzLoYJY9v6ccE9ETQBjYjbCtAJDoAEyBGddB+0FAlSBVG0k/ALea2bjoFLHRckXZpaRbgaZmdlWcvt7AWWZ2Yt4ts8bUwUXsdQduBX7DOetmAJ3MbGNR7Eg4EX0JzCFsl0NWdPd/wElmfLC100pUAS7DVZAHl4o8NHexDE8RkM4HrgPaAZDMP2QwFBiAWZm+LkkIUivc5+10oDrJQDW+YD03YjYtobZ5tp6IngH2JWwdE21KwokoDLxE2JITbUphSOydnMy33bpR/d13Sa5du/BtcrNkCRx5JOnz57M0LY2OgTZ4pcFH4nk8Hk8+mLHJjI/NuAynf7Qf8ApwOPAZsEwiItFLok5BcyUKM77BXbTuIbFPETbpiluZruzaIp6SYRmBXstimnJRykjOP4+tduAB1KwJ771H8h57UC0UYnR5L1LjyaI/Lh12QLTBjGnAENjnDqgyEecsQ9JOwE5kSwEUCUlNAi07JNXGRe9NC17vGujjERShOAWYmd9cAQOBe8xsA04fz4JHCKerVyJI+lTSzKC67iRJHfIZV1A13v2jbbvdwP6H3MO+kqKRHTmq1capxoscH8s56uNiRqoZT+DSk58DHgLmBIVsynyUe5nC7EXM9uESuvEEMIKjMLvHO/DywWwBZucCDQlzFMOAEVztHXjlmIiqAKfho/CiVKVs6+FlYcasjAwOnTiRNe3akfb551u0LaNHQ9u2pM+fz19paRxY2Rx44J14Ho/HUyTMyDTjezNuN2NvYFecyHpTIAIsl/hEoq+UdcNTVhgDzBKZ/0Nqg7QX2TdnTmNHegRp3jIaPj6BbhsNHZs4cz0VFrO1OF0sbkgaRINm1XliSNJWO/CiVKsGr79OikR7XCqmp7wTtjXA9cDFRNQ1pucOIA2+/he4SdJPuLTVS81sMWQ5mRbhFl8+kZQVnSnpWUknBS9PA34KUnAn4xZnopo6hwPTgr5pwL/AvfmZK+lAoLqZfRY0PQX0xS2IvGQlK5rf08zamVl74DEKTivKU403aJ8BdLZX6DjnYbRkNUnAFUFftFrtn/Gq8QZ9fYDxZvZbYcaasTrQ1tsNVzH+TeAria4Fb+nJQzdWsB1QzVdULRJmGzieJdRItCGeYuAooD7weqINKSNUpeyn0mZhxtT0dNovXMinRx4Jxx5LxrvvQlo+yxAbNsBLL8HB+6fTuzesXMnItDQ6VVaNVe/E83g8nq3AjN8CHb1DcXocfXDpRlEdvakSd0jsk+gIAzMyX+eMKb/Q5kxgHjALWII0COloYDpwA9CmIStqdmNiA+A9pOFoW90rHk8e/jefXee/Yadz1/1VqFXLNb722mscfPDB1KlTB0mkp6dnbbBx40bOOOMMWrduTVJSEv2iZc1i2GMP6NOHpFCImyTKfDqJp0i8ipMDGBoImBNUDr8OOvUCu83M2prZPmb2VnQjM7vUzJqbWYqZbW9mu8b09TGz94O/h5jZXsH2e5nZXTHVbkeY2d4xfVebWb43SGb2tZldEPP6NzPrYmZ7mlm+zr/iwMxWx7ysC1vu0DGzDeaiuJqkpZOyZgMZMfNEq9WuAdLIWY03NaYa72Nbtk8WmBHGRblnAN9KvC6RbzSfx+PxBPQGviFsW6zVWUGpRjmJxItixsKMDE4ETvr8cyaecgrUrplB5302c/bZcNFFcGZvo93um6lbJ5MLz0un8Q8fcgOPXJmZSR8zViX6GBKFd+J5PB7PNmLGCjNGmXE60BA4HifAfjnOQfaHxBMSRyQk1U965AzePH9XcgRI1MeJOX8A5KdGcQn5CLl7PFuN2dKOTH2zYQPLPOOM7Ob69etzxRVX8Pjjj+fZRBIHHHAAI0aMoEuXLvlOfc01kJZGc1wUlae8EzbDRbPtFTxHGQ18DgyVSEmEaWUNSaMkLcRFC55TwNBdJP0o6QdJV8R2SGpV+0LGN7wMNqezDFf0A4JCF2aYmc0DxuOKguyM0/wbBNxkZulsBWZ8jxOoPxnYB/hZ4jGJBlszn8fjqeBEVB13vvCptNmUm3TaWNzvCh+kpnJ4e6btMSztIg6cOZTVr45h4cgv2PD6hxwzbzAjM85mkTXj7cxTeISbZifa7kTjL3w8Ho+nGDFjEy59dYzE5bgqhz2Cx1XAaokxuMIYH5uxtkQNcvpE1+VuziCJ+bTmJ9pWWU09kslgB/6hPdNpwpLY0MG+wFu5t/d4toWNKXU6H38UqhKjEta9e3cAJkyYkGd8tWrVuO6667L+zo82baBZM1IXL2Z/XGqkp7wTtrlE9DBwLxG9Qdj+NsOkrFTVK4HHE2pjGcCc3heSzsNFhB8XZ9iPQHMzWyOpOTBG0nIzez2YYwER9f9vEy/X7UMmbhHnNXJVpjWzfriKn0jqgavGu0DSC0Ad4HUzG71l9mPAe8Hv4yXAXcAFEvcBQ8zK382px+MpMY4DagBvJNqQMkS5SqeNxzTrMBeN/AJGHk5mvsOW4+QvKjU+Es/j8XhKiHx09O4FmpFTR+8KieYlZEaY4FxvwEQO5lxGUTd5HXswl94azQ01hnJ1tREczxia8TctQ3/Tj3v5nZ0AWpWQXZ5KjESnLl1KJs28a1dCycl0Lom5PQnjfmAl8Gi0wYx5uMII90o0S5RhZQ0zGwkcJmm7OH1ro9p8ZrYIl658cK5hLWtXY7EZrwJnBW0tCIpaxBJU470RV232WuBLoBdwR7RgxpbbT5oZT+F+L4cC9+Ei83olWprC4/GUGXoDEwhbpStoUADlMhIvDnfjilrlxwMUIG1RWfBOPI/H4yklAh29x3Lp6K3D3YguLCEdvVoAv7Ez3ZPH0Y2JzNq7Fw88Vp0pU2D9hiTWrk9h3cYUli+Hzz+H8PVNeG67m2mj+VzEs0kSNYvJFo8HgIwMajVsWDJzN26MkpPJ48DwlGPCtgEXydybiI6M6bkfV/H40bjbVQIk1ZPUNOb1ycAKnNMz99iiVONtsSmVheSsxhvXiUcJVuM1Y40Zt+GKX3yFiwj8VuKgbZnX4/GUcyJZ5y6fSpuTcqeJFxezibjspdxah6uBGzEbVOo2lUG8E8/j8XgSQIyO3mnE19H7XWKwxOHbqKP3dYQz2TtpDn/vcghffgk//lSFq6+Gjh1dVc8o220Hhx8OAwfCX0uq8MSQZF6vecGOoRCzJXbfBhs8nhxIZKSmlszcqangU+8qIGH7AHgPeIqIq65txkbgaqCXxFGJNC+B1AXelRStsnslcEK0QMeWVuPd5TrObnMDexNU4w2KxDQn1w1VaVXjNeMvM84FOgIbgEkSb0m0Lo75PR5PueMknCTY24k2pIxRUSLxwGwMTnP1CHownkv5GWiCWaVdsMuN18TzeDyeBBNHR68z2Tp6V5Oto/ceMLZAHT0XXdET2BP4b3++0WT259qrjAcfElWKGBsRCsEVV8DJJycl9ehBs+nT+VbiYDNmbcOhejwApKTwx5w5JeMYnjmTtLQ05pbE3J6Ecw3wM3ATLs0SMz6UeBd4SqJdcD6tNJjZn0C+1V7MrE/M30OAIfmMGwGMIKKZwIeE7TaAQOohhVyReGb2NfB1zOvfCrJjWzHjR4kjcFpYDwNzJIYC95ixvKT26/F4yhy9gU8J24pEG1LGKPeaeDkwywS+IKKuwMUM8ym0sfhIPI/H4ylDBDp635lxmxl7Aa1xOnrNcfpFyyXGSlyeR0dP6gX8DTwLXD+Z/e78QV3u6NcPBj1edAdeLE2bwvjxpHTqRO1QiA8kl57r8WwLmzczadIk0mLbMjIy2LRpE6lBiN7mzZvZtGkTmZmZeV7nHhtl0yaYPp1k4LvSORJPqRK2P4F7gNuJaOeYnmtwWqM3JcSuikXu1NkWwXO8dNpSJahi+BHQDhdx2Av4TeJmifwr3ng8nopBRA2A7vhU2nhUjHTavCwCmhKR91vF4N8Mj8fjKcOY8Wugo9cN2B64GFiPi0RYKDFFov8LuuAcg1cINPDWU4OzUl7niMOMu+/eNhtq1YI33yS5enWaSzy2bbN5PAB8+MMPhH7+ObvhpZdeonr16llVamvVqkX16tWZOHEiALvtthvVq1dn0qRJDBw4kOrVq3P00UfnmPTVVyE9HQM+La0D8ZQ6jwF/AE8SkcClXOLEsG+X2CWRxpVrIqqLS8+Nddi1BDJwC0RlAjPSzRiOK34xGFfJdp7EWZK/t/F4KjCnAJm4zBRPTipOOm1OOuA0Vi9MtCFlCf9D5/F4POUEM5abMTJGR+8E4EegbwNWjhIkR8e+yPksVjNeeCmFpGI40zdrBk88QQrQR3Jlaz2ebeDDUIg/H3zQ6XYBnH/++VgQahP7OPTQQwFYsGBBnr4JEyZkTZiWBg8+SLrEa2Zlx+HgKWbClgpcgUurPDmm53HgN+BJX8V0q4kXddcCWGxWYLXAhGDGf2bcgYtY/xx4Cfhe4tCEGubxeEqK3sBHhC1/WZnKS8VKpwWChbqopusgIto+keaUJbwTz+PxeMohZmwy4yMzLgGaHseYrAsaAwan3Mg554qmTfOfI5ZTTjkFSYwbNy7fMeEwbL896bg0Jo9nqzEjc7u0JXePHCmNGVM8c95zD8yfT2ZmptNK81RgwjYBeBkYTES1AMyIOveOxUVreLac/Jx4CU+lLQgzFptxIS5iYxUwXuI9X5DJ46lAOAfO4fhU2vyoiOm0XXEFLgCq43Rb/SId3onn8Xg85R4zMkOkZznx5tOa+ek7cf4FRTvFjxo1ig0bNhQ6LhSC888nVLWqv0H2bDtLaLr/WYpw3llpxKbVbg3vvgv3349lZnKdmS9qUUm4CagD9I82mPElLhprsNfv3CpaAKtzRbmUeSdeFDNmAEfjHLk7A7MknpZonFjLPB5PMXA6sBH4KNGGlFEqYjrt5ZCln5yMi8oLJ86csoN34nk8Hk/F4JXoH9/ThVBKJh07Fr7RokWL6NevH88880yRdtK1K2zezE4S9bbWUI8HqT5wzlC7lNb/TeOQA9KYNGnLpzGDESPg9NMxXEGXocVsqaesErZ/gNuB64lor5iem3DaoHckxK7yTUvyOuxaAn8mwJatIsi0Hwu0By7FpVz/KnGbRI1E2ubxeLaJ3sB7hK3wVefKScVKp3VFTHoBoVw9w4ioiHlGFRfvxPN4PJ6KwcsEq1W/sQs7N0+lWiG1+syMCy+8kH79+tGiRYuCBwfssUfWnzsXMMzjKYyWQLXarOPTjMPZf+2ndOtmXH5ZJsuXF22CefOg+xHpXHopZGQwwIzLzLDCt/RUIIYBM4CnY4pc/AvcBlwnsXcijSuHtCCvw67cROLFYkaGGc/h9PIewX0mfpE4zxe/8HjKGRHtCByET6UtiIoWiXcuMVrfMVQDnq/sabX+R8zj8XgqBvcTrFalk0Io97pVHIYOHYqZcckllxR5JzHzpmyxhR5PNv/iKsxRi/W8l3kCo+wc3nxuDc2aZHBmrwxefx3mz4fMTLdBaipMnw7PPQdHdEtj993h70m/MpD/3WXG7WZkJu5wPAkhbBm4dJuDgXNiekYA04GhvsjFFpHDYScRr1ptucKM9Wbcg3PmjQGeB6ZKHBEdI+kYSVMkzZQ0WdI+MX0vSPpF0gxJX0vqnN++JJmknyRNDx4HxxlzdzCufT5zHCdpVvDoHtN+oaTbtupNKEYkbRdzfNOD9yZdUoOgv0vwHk6T9LOkmwuY67yY92uapONi+vL9n+Sao1Ow/RxJ58W0Hy5peHEeuyeh9AJW4yvPF0TF0cRzDrorie/ESwG6k/M3v9Lhb8I8Ho+nvCO1Ak6MvqzHapYuT8IM8lun+u2337j33nuZPHnyFu1q2bKsP1dvhaUej8NsCdL7BNVFBZzNK/RIf4/R9OK5ty/lzDc6kmlJJMkIpWSyOc1dy1VNSuVoPuU9RnBc+hhSyNgMDybuWDyJJWw/ENEw4BEi+oCwrTIjQ+Jy4Hvcav7IxBpZbmgBvJ/rNZSjdNr8MGMJcInEE8BDwDiJMfDhfTg5ikPMbHbgeHsFsqI43wEuNrN0SScAbwCtCtjVwWa2Ol6HpC5AZwp+P+/BVV4GeBv4RNL2uBvWowo/0pLFzFbgUpUBkHQj0M3MVgZNI4A7zOz9wLE3V9KHZjYndp6g70mgjZn9I+kg3PE2lpNbKOh/EsstwNXAVOAnYKSk6sBdZFe19JR/egNvE7aK4aQqGSpSJF4HYBcgA1evL7fPah1QxLyNiol34nk8Hk95JqIkOnIIU7OjTfblR5auqsKiRbDjjvE3mzRpEitWrKBjLuG80047jV69ejFixIi42/3wA6SksD49nV+L7yA8lZFNVL12LXWOasyymtG22qyjD8/RJ/25+R9x3DEppL+y0hp0TUsLUZ2N7MHP7JY5jxDpsVP9VvrWe8oYtwOn4SKSrwAwY4rE08DDEh+YsbKgCSo9EYWAZuR0MEWdeAtL36CSwYxZwHESRwKPwPZfwQ7/wZIVrt8mSWohaV8z+9HMYp2ak4FmklLMLD3e/PkhqQYwBPc5LUgBNA2ogVvbSA3aBgH/29J9lhIXAbfGvDbI0sytiTuGeN+9JNwx1gb+CbZZFPTtAqwws9mQ93+Sa57o+1UNd8MPzoE3OD9nqqecEVFroCM5P2eevFQkTbzpwL24jI1/gLbA+cCewL+EraIc51bjnXgej8dTXogoCdgVdzHTKXjelzC1mZo9rBNTCCmNsWNDXHxx/Kl69uzJkUcemaNtxx13ZPjw4Rx99NH5mvDxx2RITPapi55tpTqbejRiaY2POD7SmSn7AzsAi3HVRZ883j5ahXQ/8EEB0ywG3i15az1lmrCtIqIbgZFE9CJh+z7o6QecATwAXJYw+8oHTXGOldjU2RbAajPWxt+k/GLGOImOUO9i2PQUfPW7dNBA2P5nnGOpFZDbYXQNMKYQZ9rnklKAz4H+ZrY+aH8IGGpmC1WwlNPNZEeOXhdE//1rlvWZzk0RSliVDJIOAOoDH8Y0XwC8J+k+oBFwqZn9k3tbM1su6TLgR0krgepA9KJkPrCdpAPM7BtJJ5H//+QeYDjOYXhTkKa8s5n9L67REdXGpWZ6yg+9gGXA+EQbUsapOOm0YcsktjhVRMfjFuhWeQeewzvxPB6Ppyzi9CB2IdtZ1wnYF6iDW22ehUsfGc0OTEUMwjgAXDRTb15j8CO96NOnStyU2ho1alCjRt5CfQ0bNqRBgwZxTfr1VxgzhmQzhhXHIXoqLxIHAY8uo3H/zvbD/fkONPsQ6VHghji9q4GemKWVjJWecsbLQB9gKBF1IWwZZqyWuAEYJfGCGd8l2MayTDTqLtaJV64q024pZmRA62FSjQVw3lCocyectAne/hvW5VioknQ20BM4pIApW5rZX5Jq4oquPAxcIemooO/Kwm2yScB+wT5r43T8jpF0LXAgTk/0ejNLJaI6uOg+gN2A2UU/+mLhImBULqfmLcCtZhaRtDPwpaQpcdJp6+Kcol3M7GdJJwLvSNrDzNZIOh0YIKkW8C0wB8jjPDWznwn+J5KScZpp50g6EzgdWIt7v1YFm9wA9C+2d8BTGvQG3iBcJiNRyxIVKZ02N9Eo3WZQ8RaVtgZf2MLj8QAgaYGkeTFixb1i+qpKGiJpfiBC/HI+c1yQS/B4uaS3Y/pPkDQ3mOdtSXXymae/pNmBmHHLmPYXJR1YnMddJohIRLQLEfUkooeI6HNgFW41+mWcgOsfuOp6XYHahK09YbuIsA0lbN9jPBA75fX2KLN/qcILLxTdDDPLE52X3Qc33EBmSgoL8ZFPnm1AYgfgdeBjYEChG5jdiIvQGG0wdzr72Ccc/SHQFrNvStRYT/khbIZbqW9Hzqi7V4AvcUUu4olkexwtcamJS2LaymVl2i3FbPFYs992gmlNYdBLkNkUfhwo0R0guB66EzjKzP7Nfx77K3heDzyNK7gCcDiwb3CdtQBoDowJHFcF8QAuRXwHoIeZnQGsAM4K+m/ApZICXL9lR71tBM61nrhCIdG2hsApZhYBMLPfcSnI8a7bjgJWB044zOwD3CJly+D1eDPrZmYdccfZFOfIK4hrcZqFq3GOul7AxKAdImqMi3SMslsRD9eTKCLaG9gLX5W2KFSkdNrcLA6emyXUijKEd+J5PJ5YeplZ++AxOqZ9IE7npI2ZtQVujLexmb0Qs317nI7BK5B1wfcccLKZtQb+Js5qaODYOxt3I/Y0cFXQfhSwwcy+Lp5DTRDOYbczEZ1BRA8S0TicXsyvwKvAsTj9oX7AAUAdwtaOsF1I2J4ibN8Rto155j2ZH0nKXoFrzwxu4BGu7pvOL79su9nPPAPvv4/S0jjPLO9quKd4kfRpUJVvuqRJkjrEGXNBUOXw5ALmuSmocjhH0juS6sX05VsZMNccxVYtUSIEjAY2AOcWOS3b7HPMestsjw5Mn3gMnyzDbFHhG3oqFWGbDTwG3E9EOwCYEXXutcVVsvXEpwWwKEhjim2r8E48SU0AzPgXai+HpM9gr1+AsdLT06HqQ8CRUSddPnPUD3TvkJSEcyBNc/ParWbWzMxamVkrXFTJcYHjKr/5ugJ1zWwsLlXUgq5MoFaMQyrqmD6QiAqKEixuegEzzGxuTNsqYL2kwyHLqbcfLnMgN78D7SX3PZW0Py5DbGHwuknM2P7AF2aWrxavpJ1wjsHhQCiYy4i+X47bg74oper49GwVvXEOnPJ97V/SOLmdEBU3Em8F7tiaJ9qQsoJPp/V4PAUSpIVcBDQ3MwOIp28SZ7v9gMZkV7o7FpgWc8H3NC7t4aZcm2bgLkpDBKLIwYVxf+CEbTuaUsalxLYkZ0psR5yGTCYwF5iCe4+mADMIZ+nnFHUfdYErOYPr2UgSn2R33c/tfJl+BEcdujfjvgzRuvXWHcZrr8Hll2PAADOvSVJK9IyKcks6BXgR2CfaKVeR+GJclENcAsf3BcB+ZvafpH64qI6+BVUGjDNVcVZLHIirzri/2VZXOP4GOF3iCNz3qSMwxsxXIPUA7vN6JvAIbkEIM36WeAS4X+KtoFKpJyfxHHYtgfcSYEtpc09QATUF+BZW9gxSsQ+Fq7+AJoLkH6Wq/0BqGnCEma0INN2amtkdwO7AcEnRSoo/4tJFtxhJIVzJ7dMBzGympN8lzcJVZDwFuJuc93EZuArN+wVRqSXNRcAzsQ1mliGpJ/BwoAsYAh43s28BYt8vM/tRTvP0C0lpuFTZnmZZele5/idcVIg9g4Frg+vUNZIiuGq164BeRLQT0BdyROM6x2fYJm71u+ApOdw1dG9gdK7FBU9eqgbPFdOJFzYjosV4J14W3onnyYGkC3Ch8aeY2btB2wu4m6RMXKrFLWb2eSHzvAicB9SPuRHdD1d6vjpuFfIcM1scZ9u7cGkLp5rZO0GbcKt29c2snqQ7gR3NrE/QfxCu2tdhZjYhaBsGLDMzr31RdEYF7/X3uP/zMpwu20rgNklHAhuBuwr7DOAuuF6ybL2qFuTU1lkANFGuKm9mtl7SYzjnxD+4z9E9wKNmVnZ1ENzFRgtyOus6AQ1wq8FRh93dwfP0LXbY5dxffdwNwjW4qOonaM/TfMJw4ESAqqQyNv1Ijlk2jv06tbMnnkrWWWcRVyMvHuvWwZ13GI8NEhKDcdGBnlIgV1W9umRHYUSjPJ7FRak+WsA0+wBfmdl/wesxwATcjUxBlQFzUyzVEiV64iIfzjFjRlG3C7Zth3MkdgIOBbYDxgW2RatqeieeB8K2noiuBt4houcIW3Th4T4gjHPunZXv9pWXHPp3QdRsUypBJJ6ZxS0BZcYEKT0F5xR+ANgJ9/lJDbYbFjPHt7gMgqLsr1Uh/WlAt1xtfbJeOIfUFeR0SCXjFkhOJHvxtMQwswPyaR9HPsU2Yt+v4PVgnPMt3th8ynLla89JuV7fhatS64joZWJ+RwNK2/Hp2TI64u5BfCpt4VRsJ55jET6dNgvvxPNkUUBkx3UxjrgOuMpbDc3ir4pIOhV3YxXbloRLq7zYzMZLuhF4HFc1Lh5TgQuBd4LXR+BWH+sHr8cTo8MBHAZ8h7u5mxDT5qvRFZ1DAkHmEO5mZyTupjkFd3E/x8xuCT4Dn0naKz9tmCB6rzdOv22LMbOncZF6SOqIW3kZK+kpXKTQJDN7YmvmLhacw25HsqOAok67hriLxHm4z/C9wfM0wraumPbdELgO58DJwDlTniBsqwkDD6oH7ntwFtBkO1YuHpUefmOv/34+7ZxzuHT4cDJuuIHk44+HUCj+LlasgFdegUcHprF0KZshdKUZzwVpaZ5SQtIo3HkMsiPhwDnCvjazqSrYIzsVJ6q+A04M/SygtqQGhVQGzM2WVkuMcyzsiTtnP2VGXE3NQngR6IBbTIqVAgnhfm8+2oo5PRWX93CfiaeJaB/ClmrGeomrgXclnjPjiwTbWNZogVtgihKvWm2lI0j5f0XibeBqnDbtJRJ3As8lSF7iPvI6pMCdHx8moo8IW0Yp21R2iagdzoGf+wcz6vg8icoRcVre6A38Rs7zkic+USdeRdXEA5dW7SPxArwTzwMUHNkRJyKkoHm2x13gHIarEhelI5BulrUiPhy4T1K1mND5WL4Cjpa0Q5C6eSHuBjAqgj4ZaCqpuTldpENx0Vo3B3Y0wV2QfluQvZ5sYgSZ0yQ9DkSV1P7CXRi+EvRPk/QHTl8oP4HnM4DZuaqR/UXO1LtWwJKCInmCdIxHcKvgZ+MiK/tKGi/pw0A0uWRxDrtm5E2JbRSM+AV3gTEgeJ5GOCvyqTjt2B4n7nwF7kd6APAU4VzRiS6VZHzwAGAPIBM+kxj13Xfcd8opHFa3Lun775eZ3H7fJDVoAJmZ8NdfMP2HVKZMSyZkqYQzXuZWHvhqJ/vj2WI/Hk+hmNm54LTrcKlVx0naGziNgiskRrcfL+kR4EOcwze6KJKugisDpuaap+jVEuMgUQeXhvsTW69B9BBOMzKelm8IYhPJPZUel3pzNa5a5/W4NG7MeE/iA+BpiXZmxP3MVjqyI8lzV6aFClyddkswYyPwoMTzOHmPIcA1Ejfh0vlLZ5Erora4a6J4KzhJQBvc9ZKPTM6msAJKDxPRBz5lswwRydKVHOmjJItEteC5okfi5bfYXOnwTjxPlAIjOyQNxDlm6gOn5ReFh9PHuDnQX4ptz5FKGfSvxa305ueIeRk4T9Jw3EpZP4IfYjNLlfQNcJik14GdzGyMpCckVcM5Eb/Nx0HoyUUQOReKcdieSbYg83JJn+MqpI4JxIN3An4uYMqLcEUsYhkLPCVp90AX7woKD5G/AYgEml2xws6G08srXtyNTFPypsRGdcLm4xx1D5IdYbem2O3IaVNTnG7gpcB/uPSQYVsT2WfGN8DhEjutWcNp6z/9us+HExrvtoa6JJPBDraE9mk/cDHfcRpvUZt1kCuq1lP6mNlIScMkbYerdtgKmB+cY3cARkhqYmZD42wbG9XaFVhkZmslnU6uyoCSnsfduM8vwJzc1RIPk3Q3LsovTy1kCQXt9YEjt9ZpYsZrEm1wn//cP1KrgOlbM6+nAhO234noPuAOInqNsC0Ieq7BOfduhJxVvSsx9XHi/7EOuxa483+hGriVCTOWAVdLDME5hz8EvpC40cxdN5Uwy3A3s9WD18m4/98q3GKN4eRKPNnMB7rEvM79ns0lfmSjJ3EcgIu68qm0RaMypNP6SLwYvBPPQ1EiO8zsFuCWQBPtIUkH5o66kNQH+MvMiitFZSTwGU6U9nXIU8VwPC4C70+chhu4CL39g3YvwF90tgfekpSMu0H+HTg3pv8y4DlJD+L+D5dG9QwlPQu8b2bvB693A9qTM/0v6rjtA7wbRNjNwundxUXSLrj/Y3Sel3GRQmfgHM4/bdMRQ9RBljsldoeg91eco+7h4PnHEnfY5bRtR+B/uIjWlbgI1xGEbcO2Tm3GH8Aj6JBZpPJxIcN9mmIpI1dBtoaZ/R28PhlXmWtl4KgbGjN2Ak44/N185mpiZkuC4jD34CLaIKYyYOAkz1EZMJ+5sqolSmpH7mqJ8bkBOBnnwNvWarL34sTje5KtBZUOfFzkKreeysYjuN+ywUAPcOc/ifuA/hKvBufDyk6L4PmvXG2L/HcrPmb8ApwqcTDuczZV4mXgdrP8z6PbTNj+Ifv/BRHthbueOjiozuzJTdiuBa7Neu3fs/JAb2A2YYtX2diTl8qQTrsIaEREVQlbRXZWFgnvxKuESDqX7JSmwbgQ3FYUIbLDzMZJGoJLpZyaa+rDgEMCvaQoMyX1wF0YRlMzoilZdYG/87PTzBZL+hNX5CKegO54XMTXX2Tr4H0Z2HEYcH7ciSNKIanqt4DI3NyVcNGF2SsqQVpqh0L6D8unr0+u1/NwYvnxxr5PEQWXzew3XEXb6OuV5BJ63iIi2oG8KbFNgt7fcRF2g4LnHwnnSCMvPSJqBdyKqyr6L84J8hzhEokq/QT4GpcSGY8/iBNd5Slx6gJvSKqOc5AtA06IVocuCEn3AH/HCIh/GsglVAFewqWAUYTKgLnnLUq1xFzbcFiwzS3FUdXYDJO4ECd0vS/uGiYZCnVEeyorYdtMRH2Bz4joJMIW/f15lGzn3kn5bl95iDqFYp1PLankenhFwYxJEl1xiwsDgV8kBgEDzSi7xbg8nrJKRCm47K8nE21KOaKypNOCy5iq9ItvKsI9gaeSERvZEdy4tTSzX4O+Lri0yF3MbFUh8xhBddrgJnI+0CemsEVXMzs9znZ3AfXM7FpJnYB9zWxEUHhjupnVC8aFcKHwfwMnmdlcSW1wqQ1Ng33nTQWM6HqU8jAAln4TYXtsC98iT1nH6cflToltGvT+gXPUTSU7wm5lIszMQUS74qLtzsH9UA3AaYGU7A+yi/p6FueEidUbmwicQ6CV6PFsCRLNgR9xVcNPL069KIlGwdzRtIrtzVhaXPN7KiARvYqL0t8zGs0scTjwOdDDrOSreZZpIroKuJOwNYw2SXwMLDXLP2LekxOJqsCVOPmXNFz6/zNmJSBL4a6JL6EKPdiBPVnLm6zmQcx8EYB4uAyQ04BzCdGG1uzKRu7iDx7Gtj3DwVOMRHQkLhOrDWErSN7DEyWig3DXW80Ju0ypCkdEzXELTQcTtq8SbU6i8ZF4nsIIASMDEfR0YD1wetSBFyfqIy5mlinpbGB4oFn3N85ZUSDmLkbiXpAEBRi+AvYJNNYws1+CKL+v8nHg7YiS72evW5NAMPv++4noDcJWcqkPnpIlosbkTYmN3twvwDnqniTbYbciAVbmT0S7A7fjKqf9DlwCvEw4zue3JHA6iKcjtQCO4AyuZk+Wcpd1L5X9eyocElWAN3Bp4BcUt+C7GcskugMzgXXegecpAtfjqob3wy2WYMYXEhHgSYnPzVifSAMTTA7d4pg27xDaAszYDDwq8SLus/Y4rvjF3bhMkdXAhm0+J0rdgbeAmqQSjZc8HTgN6UbML07nwEW1v0e0uFoa4Mqu3YV7z47EzP+OlB16A1O9A2+LqAzptP/gslO8Lh4+Es9T2Xg15Z2NKc2OP3JQ01AoFOK/xd/ZOQekTb12VGbnRJvmKQIRNSLbYRd12u0Y9P5FdoRdNCV2eSLMLBIR7Y27yO+Ju7m8H3gt4endEfUDLiZsLQsd6/HEIRB8Px/oYsacQoZvy34eA04xY6eS2oenAuGq1T4C7EPYFXSRaIITtX/ajFsTaV5CiWg0UIWwnQJZBWnWAteb8UxCbSvHSOyCi6o/I6Y5HVekag0um2Q5TvP0ZbMiaNC6heqFONmF/OjsI/JikB6AAr/fb2DWs7TM8RRARFVwUjL3E7ZHEm1OuSGi43GZaLW3pvBduSGixcBjhO3RRJuSaHwknqfy4E5wJ1c7YDgTTj6CUCjEmrlva+8DT+t0bUQnELYPE22iJ4aItiNvSmysbs9UYDjRtNiwLUuEmVtMRO2B/sCpOGHlM4E3CVtGIs2K4QfgXiJqTNivTHu2DImzgb5Ar5J04AV8AlwnsYOZr6DpKZSncVqjTxHREYTNzFgi0Q94TOKlUvjMllVaAt/FvI5XrdazhZjxG9BT4hVctD24e6/6waNVzPDtKFohqXMJHHibqMpKGpBJEnVZE60oDy6l9/xtPoCKgJPeuRRcJaYVbMdGqlOFVBqxjCQXFHkqUjOsgqYhli+OBurhChp6ik5lqE4LTm7IR+LhnXieykJENVBoGDuenKlmxySFguZ1tfejXZsdQCuGEVGb4qj86dkKImpA3pTYVkHvIpyj7hmyHXblz7kUUWec8+5EYDpOm+VdwlbWKv9FV+874yvTerYAiXbACGCQWalcgH+Huy/bH3inFPbnKc+ELZ2ILge+wS2eRIKeLOeexOHFnf5dTmhBzpvmeNVqPVvPRbhiPG3IqT0bxYBbCptEQi9w3qGTOJjvqhzM3LRdyLDkrP6dqyxk37Tv6G5j97tYVDEjtbgOoLxyG/e3qc+qBmOTT2C62rMyPTuAsVbyBvbRTxyRPjZ5Rxbu3wfeTKCpHkdv4GvCXo95C6mKO49U9GKNi4FmiTaiLOCdeJ7KQj+SQk3Y9/EkgDVr1nDiiScye/ZsHrz3Vizpzh2UkZalleMpQSKqj7uYjY2wi6bD/Y1zIr1ANDU2bP8mwsxiI6L9gTuAY3BRbicBHxIuo1oGYVtBRH/g/i/eiecpEhL1gLdx39v/lcY+zVgtMRtXvdw78TyFE7bJRPQM8BgRjSFsq83IkLgc+BY4C3g5sUaWMhFVxVVqj71pjlet1rOVmLFJ4kziawxmAk+a8WNWi7QbcDggYCJmsySODYV46oK0F3fq2C6VE46tQr/20Lw5SLBsGcycuSNfTWjCJRNO2z0lmX+DKNNhZpSVSP9SQ6JhUhIPmW49t3b1DHqcmsxJncSee0KtWrBpE8ybV4Np0/Zj+Jv78u/K0BuXh/goPZ0rzViQaPsrJRHVAHpQcOqzJz5VgU1l9t6i+FiEuz+p9HgnnqfiE9GeoJtpPyCZGq5Aad26dZk4cSLLli2jU6dOnPHWHcm15916y3vX6+NTHrNJCba44hBRPXI67DoCuwS9/+AuaEeSHWG3JAFWlgwRHYJz3h2Buzk8FviknPzA/oCLxPN4CkUiCRgF1AB6lkglxvz5FheJ5/EUldtwcgb3AlcBmPGdxAhcUYIPzVidQPtKm2hUQ6wTryWwvJIX+yhWzJgu0R+4j+xoPAv+PkFi0npqfFWDjS8RLcAArKcGPZPHLoNjGp14Ipn9+0P79lXi7uPkk4E7UvjrLxg8mHqPP86TyclcIHGaWeVJjZbokZLCyHr1qPngg0ru3TuFGjXyjjvsMPc8ZEiIDz6Am2+m+4IFzJW4zoyhpWu1BzgOdx3hIyK3nGpU/FRacJF4PRJtRFnAO/E8FR+FhqHkZNLXw5yHSU1NJxRKRhI1N6ZSVRuolpyKkquqUZ20LyWNAgab2bRiNcNVbNwT2AenfQJO0HgG8HO5T3uIqC7OYRebErtr0PsvzmH3CtkRdn8nwswSJSLhVs/7A91w1eiOBL4oJ867KD8ANxGRypndnlJGoj7OgXcMcFgCtOm+Ac6VqBpUhoyxTU/gIl9bAh3MbHpR+nLNsT9k3cyFgK+Aq81ss6TDgYE47TDDRa7eYpY3RV5Sf1ya0H9ALzP7M2h/EXjGzL7eqqP3bDku2vhm4FkiepGwTQ16os69+3CaYpWFaBGjWCdPC3wqbUnwMHAK0AF3DyZcqu2RyaS/uZhmG1rza5a7aTV16Z7yOb/VbNfow1fg+OPjpuLmoUULePRROPdc1KsX+/z+Oz9IHGLG3JI4qLKERB9gxFlnweDBqG5B5T8CQiE49VQ4/nhS7r2XlPvv52mJHYHbK2l6faLoDYwnbF7jdsupSuVw4i0CmhJRchnSEk8I3onnqfgkV/2ZzLRd+eluAGb/kZlyxQvpdZMEqemo33HJ66rOu39TpqEqVavMh42dgR8lTQQGA++Zbd2JIqjwdrDExUlJnJGZSdWUFDIbNHCaBStXkpKeTlJyMpuTkhhtxjNmfFVMR15yRFQHdxEamxLbOuhdinPUvUp2tdi/K7QzyDnvuuOcdwcAnwOHErYvE2rX1vMD0BhX+dffyHnyINEIuA64HnfxOC5B565vg/13ACbn6nsTeAji2lVQXywzgM5mliYpCXgLuAIYhKss2dvMfpdUDRiHE51/MXYCSXWAs3GLOGfhor9ulHQUsME78BLCSJzzZCgR7U/YMsxYKXET8ILEC2ZMLWSOikIL3M3fslxt/txfzJiRLhHGFbVKAd4y43ng+Y/UY1Zrfr0/OjYTcXryOyyq345vvgrRps2W72+ffeC770g5+mjqT5vGFxJ7mbGquI6nrCFxDPBM//5w990uzXhLqFoV7rsPdt0VLryQW81YhNPM9JQ07r7ieILoaM8W49JpKz6LcefOxkDFyd7aCrwTz1Px6fnfpQSVqcDd6X0bR20hCegCcJuES4G8BnfD9qekIcCzZra6qLuVaJGczNMZGRzfti1pl1xCqFs32G03kkIhqgCkpcG8eTBhAlWHD+fMWbM4NyWF9zMy6BtcPGwbEe0BzCdsWy90GlFt3NsWG2G3W9C7DOekGx08TwEWV2iHXSzOeXcCznnXGRgLHEjYvkmoXdvOj7jIok74GzlPDBLNgBtxjqwksq8jRiXIpF+AlbiU2hxOPDObCKA4d3IF9eUaF1vsqApQHffdIDZa28w2SZpOzmqTUTKAZFwkX00gVVIN3HnjhAIN8JQMYcsMilxMAy4GhgU9o3DOvWESXSuJllgLYGGuIkstyesU9xQDZvwqcSnuc5blsDieMa1jxz3G9XxJN775KGmrHHhR6taFjz4iZY89aLRqFSMkelbE6DKJRikpvHzaaWTefTdJW+rAi+X88+G33+CBBxgkMaESV60uTU7CXU+8nWhDyimVJZ02em/cjEruxCtSWLbHU5kwxzgzOxFXSex94E5gkaSn5ASHs5FqIl2M9BnSVKQ3+uqpO5OTbW6LFhw9bhzMmEGob1/Ye28Xth8lFHJtV14JP/1E6JNPoHlzjk1OZl6worh1RFSFiAYBc4DhW7BdLSI6mIiuJaKXiehnYA0uLfR2XBrwW7iUo5bA9oTtWMLWn7C9S9gWVQoHXkRJRHQqznH5Pk7fr0vwXpR3Bx6E7T9gLl4XzxMgsZPEcGABLtWwCjkXAmcmwq7gZvRbXARsiSCplaQZOPmDNcSJzJC0A3A68GFeG2098BjOKdIDF+F9D/Coma0tKbs9hRC2n4DHgQFE1BiyPk9X4BauLkmccaVKS8ijl+Yj8UoQM0aacYhZjpvQLIfxChpwR9J93HFnEp2L4Ve4YUMYNYqUjAxOBw7a9hnLJP0aNKDOsGHb5sCLcscd0K4dSSkpPLbts3mKQG+cbvTKRBtSEJIWSJonaXrw6BXT11rSN5J+kfSDpL0KmUuSvpC0Olf7CZLmSpov6e0gmj/e9i9KMkkdCNJpJdWWtC5YVETS/9k77/Aoqi4Ov2dT6E0E6R1FBSmC2KgqYEEQCzqIiiAqYO+KAnb9VBQFRJGesSuiYkEFURGlIxYEAREUEBTpkHK+P85sskk2hbRNmfd59kn23pk7ZzabmTvnnvM7k0VkeMg+l3v7NAhp+1hEBubg44gEm72fdSJqRSHAd+L5+GSCqq5R1Ruxi8X9WHGCX0Rktoh03y9SC0s9fAnTPmszk14XvSTXjrzc0TI//UTMGWdk/3jdusHPPxNz6aWUFuEDEc4/bKNdaYg9LAZXeMNb4Eo5XDkNV27ClWm48hOwC5jvnWs1rOLjxVh0STUc7YGj9+Houzi6sUQ47EJxJQpX+mIpdm8D64E2OHo+ji6KrHF5jl/cwgcAEeoAa7HIkWjSR/EnAj8XtF0hLABO9eQL8hxV3aCqLYEa2ES5T2i/N8F+H3hSVcNVn0RVx6lqK1Xtgd1P6gAfewtDb4rIjflhu0+WjAL2YqnVAKiyCkuXfkyEoyJlWAGSymEnQrhqtT75T3KF7QlcS2yZKG65JaXztddeo0OHDlSsWBERISEhdYJFXFwcLVq0oGLFitSuXZubb76ZgwdTAnPOPhvatiUhKorb8v9UChYRKkVFcc2ddxJTuXJKe2afWVxcHOXLl0/1io6OpmXLloAtso8YQXRCAt1FaFbAp1SycOUITJLmtUibkk36evfzVqr6ekj7BOAlVT0aeII00hphuAX4LbRBRMoDrwC9VbUp8Cf2TJYRS4CrSUmn7Uvq+dhcoHPI+y7Ad8E2EYnGHPtfZGFr4cDR/Vj2Re2sNi3u+E48H59soKr/qepoTPetN5ZS9fFCS+U6NrjdGppwedSrXHV1gMlTA5QuffjHKlMGpk0jcOWVBKKj9PWP5Oz7EBmOyJXYxT1jXOmNRcS0wNK3AOrjSj1cORVXbsCVqbiyCnPYfY1FGdYE3gMuARoCR+Jodxy9F0ffxtHfS5zDLhRXonHlckzH5lXgR+AEHL0QJ28LoOQEEflURFZ6q4Jfeatywb5srQyKyICQlcXlZa7iwl5P0xFXRES6h/aJyJ8isjSDca4WkZ9EZJmItAlpf1BEnLw/e58CYB+wHDJ0kq2NcGGeBUAtTMMx31DVPdhDRr9gm4hUwNLo31PVLCM2vAnzU8DNmE7e36p6MXCBiDTKD7t9MsGijm8GrvQqigcZhRUheTLcbsWMtFF3wQiHElPNtJAwG1tEJS7mKq64OobyITO+KlWqMGTIEJ599tl0O65YsYL+/fszfPhwdu7cyYIFC/jkk08YNWpUqu1uuonopCTOF6FCfp5IBDhfhNKDBqVuzOwz69evH3v27El+/fvvvxx55JH0798/eZuePeGoo4gHLstf80s8fYAELLOlSCIi1TEJmhle09tAXRFpksH2x2PPk4+n6TobWKaqwSI048j8+/cOcN6eA5TF0mkHAJNC+ucCp4hIsKT16cBjpDj22gHbVXV9ZudXyNiMH4nna+L5+BwOXoGL94D37hPp2SnkhpOEcHn0azQ9JpoXxgYOW1A3lEAAxo9HlixMKP3Q2lEPd0/4hIBJmIxF5E5UU6dzuRKLrfrcjOk1pT36esxpvxNbtfkQe0hZAqwv0Q66zHAlBnvQvhdoBLhAHxyNZNRROC4J6jWKyAXY6l9Lry+4MjhFRC7y+tJF2KnqZGBy8H350vLbFR1oBDRR1U+AT4J9IvIBNjEIx/1Ac0w78V7gIm+ycoKqPpCLc/SJEJ7gf3vgbuy6EboAmIhFbUaSRZ4dp5DH0UPeBPx3r7BFLFZZcqXXVx5z4H2sqg9nc8jbAFdVt4hIOUjWplJML8+n4Hkb+zuOw5XWOBqvyh4R08UVYZIqRbVIUeaYrms90lemBT8Sr2BRVUTO3Ua18T/HN7n8oc6pu7t37w7AvHnz0u26bt06KlWqRN++ltlXv359zj33XJYtS73G2KkTqCLY/Tn9QEWX9iecQEKlSsSENmb2maXl7bffZteuXVx99dXJbVFR0LWLxix/c42DHPMJWgzkUgonlwIf4hQZeYlpYoK632MV6f/GFhH/UjUNclVVEdmIXU/Xhu4sIjHAy1h2Q1rd1bTX4w1ATRGJDo6dhn3AnHGfcUzX45KDN5KfUVT1DxH5C2gvIr9jUWyfYpWywSLzikYUXgqb8CPx/Eg8H5+c8ggkhv4DzeYcvk84kSlxMZQqlfvxS5eGyTNi+DbhJD6lW7C5HObIs5maK2Vw5VzsBnGTt01aB14SptPUBDgCR8/E0btw9E0cXec78MJgmoKDsUjLl4GvgGY42r8QOvBIU3ClEp5j4HBXBoOISPu9B6nQsw0JpHH4iaWQnwFMz2D3RExgNyjgH8BS027KYHufIoAqCcB4YCs2aQxOPJOIkB5eEFX2YinuqXTxRGSCiGzCVmw/EZG12eybKCJBKYOuwDJPE28Zdv4PeX03YfWQ+oREqd6XkZ0i0hhb/Z7oNc0AuorIKmCNqv6Qs0/AJ1fYPfAG7B55c0jPu8BHwDgRYsPsWRw4EsssCHXYhatW61MQqO45im3jlACtW2e9eZDu3bvTtGlT4uLiSExM5LfffuP999+nT59Umf/UqQOVKpEAnJC3hkeW2Fhat22b2oF3uIwbN46+fftyxBFHpGpvc6KwM1ClCfANIkvxI6bzFldqYI6kyKTSunI8r8aMxpWa2dyjo6qeALTBdHKn5uCoI4B3VPPseWLSaws49oVPOYqQxfgQgim1nYEvVXU/sE1EGnptGS3KF1aCc7cSje/E8/HJOZtD3zwXdSvduibQsmVGm2etaZKWE0+Erh3jeTYqjYRJVcbjynIs3eeD5Rta1v31r6aCPVCnJYAVoPjNd9hlgSulcWUo5hR9AVutaoqjV+PomsgalzkiMk1E/sAcDMF8kHQrg9jDWr3woyQzEJgeG80PpI/auwqYrarbMtj3TmAOFrX1ICYS/6Gq+qlZRQmRsoj0R+RRRO79TyodD8RhzrtjsIIAilVcXRE5Q5NJV9xCVa9V1TqqGq2qR6lqk2z2DVLVWd7vL6lqc1VtqarHq+qNqnrA63tEVWNCtHFaqeojGRmoqr+p6tne/yGq+o+qdvLGvzaj/XwKAEfXYilGI3GlLiQXubgBi8K+OXLG5Svhou7qAxtVw84nfPKfMgAVw0rZh6ds2bIMGjSIYcOGUapUKZo0acLJJ5+cKqoMQATKlSMJKJuXBkeaUnKoyuF8XmlZtWoVX331FUOGDEnXV6EC7NdkbZzWwOeI5EAsx8MVwZXquOJnwxkXYwuDswv8yK4EkJjJaMLNSNTotN0ickXIAt0AAFXd6P2Mx+ZBHbzN/8CLmPP2DUY5h4to7gTcICIbMFmjil7BjGre9vVDtm1AyDw+HKq6cMceyn24nJqEd4bOxRylXUiJwP0S6AacRtGLxNuMH4nnO/F8ii8ySqKy3ioXqK4AFgPspzTzkjpyxdWZ35Mz0+fIiCuujmGuduZgaCDADqrwJ98C/T9bdUab1vct02NuX61nPfrphl//aro1aCGmMQHQBlfyID6wmOJKWVy5GVgHPI2lSTfG0WtxioZOhKpeoap1geFYanWO8FL8LsWEdRdjkXzBPsEEdF/JxI53VLWNqnbCBON7AS+IyKMi8rqIZOjk8CkkWEr2n8A04B7gkUrsWvUOF3Rrxs/9VNmkyu3YCu4DwDeRMzaZBUArkeL1cOpToDyBfe+fDTao8hvwKDBCJMvFj6JI8GHxj5A2vzJtZDkAsGdP9neYOnUqd911F++99x6HDh3izz//ZMeOHfTr1y/dtvv2IcD+vDI2oohUR+TdlknLjj2czyst48aNo23btrQLUwp4714oLQdDmxqQslCaE/pjEd335GKMoostEN7sRTXu4CaeYCLr6BeRe/dANKEtJzwEmtgXV84K7VTVaSELdJNFpJyIVA7Z5DIsQh9vYXspJsEDcCGwSVVTpdJ623ZQ1fqq2gDTqNulqg28tNyPgTYiEiymMoRsRCk+6bDq3vNZqqq7w3TPBU7GnIdfe21fYvIem1V1c5h9CjMWiefmRR3qoovvxPMpdsgoqRgYFXglOhD9s4ySk/LvQHI03ir2MlqToNGcfHLmu3Tv3p3LLruMRo2yH41/8slwKCmGFaQJ8buDe3H01bMe++wvW18V+ezHs+odc/uvRx4xeMern/5w1s2YuOk6TFOhuKYD5RxXyuPK7Zhm4KPA60AjHB2Go39kvnPhRFWnAl1EpCqHtzIY5GLgR1X9CdMaaxOyYtwJS5X9JKOd0/AccCvm7Kmlqn2BOiLS5fDOyicvEaGlCA9FRzO7dGn+jIlhd2ws/5UuzS91ZdPscVz/1j9UqZR2vwuYKT9zXHKogirzVXnIS2eNNAswnd+2WW3o4xMWRw8AQ4E+uHJOSM//sJX/5yJiV/5SD9jqnXtom+/Eixw/ASxfnv0dFi9eTMeOHenYsSOBQICaNWsyePBg3nvvvVTbbd4MO3cSgxXpKtqIlMWiino3j1/KisU5q620e/duZsyYETYKD2DZ0iSaJ6VTjDgjRwdz5Qgk+jnKNQQC9+NmLm1S7DAH2JeYxEpr4Ai2U4a5nAAsKYhUZRE5XkS+LhUjC08dyfhFCX3lYNM7uOTlWnrSA/J+VEAWSVCyKD1HAXO9QnI/YHPiK0L6rwWuFZFfsWyUASHHDZXpyBDPCTcImOnJfNQhRcIjQ/qezO5bziFsxpCq/oVd07d5BbrA5kwNKXpReGD347KYfFCJxXfi+RQrZJR0iQnE/FSpdKUrTqp1UiNBFsooeVhGSX44sF4BqgOspyFRgSQOwzeXbZo2BRFlPQ3TdgWPFrp6FQ1E/bv3iIu7P/7pM9JPE6SfdsT03MKtzpRMXKmIK/dgzs2RmKZFQxy9BUf/jKRph4uIVPZ06oLvewM7gH8OZ2UwhIGkRNotwr5fx4b0TfEKvGRlV1/gZ0/nK1TAPwnIsMqyiIzx0gpURFqFtJcWkZleld0VIjInk6pfLURkvoj8IiKrRGSSiJQJ6W/vjfGriHwhImHD8kVkpGfHBSFtIiLrRWSn936EiEwM6T/d26dzSNuLIpLlJCy/EeGcUqVYBiyvWZO7LryQHg88QM3nn6f86NFUvOkmjjm2a80ed5QaE6gV2MIVMp1N6TMWLkGkaQTMz4rfgS1YcQsfn5zh6KfAm8ALuHbNUOUAMAzoLcJ5kTQvHwjnsKsfps2ngFCkXsOYTQfnz0/dnpiYyIEDBzh0yJxVBw8e5MCBAyQlJdGhQwfmz5/PggULUFX+/vtvJk6cyIknnphqjK+/BiGJH2heraDOJx+5Am9u0p7vWLoiKl30YmafWZDp06cTExPDpZdemu4ASUnw9bwETkr8NlX763CeiLwpIneKSFcRyaYzQR4nplJ5un8HFZoKEv1iCYsmGknGC231sEqs+c3fwHkHpwZWvzy0qt40fh0fffQRZWufKt8/HBu9cQxzyCCbRVXXqWprVT1BVVuoai9V3RDSv1pVT1HVo1W1bajObahMR5oxN6hq5TRts1S1mao2UdXeqvpfBvZcparPem9L4UXxquo8VW2VZttmqnpyyPs9nhzIdZl9WIWUTd7PEq2L5zvxfIoFMkrKyih5DviiR5MeNX4Z+kv0V1d/FfX82c9LqahSd8cEYpbKKMk7IV+RFlgINAAJRBMdpbmqSJsRgQAEREkkdXbwFUz9SoStWNGFtEQDUcD1wEbpp5+J8LQID4swXITbRRgqwkAR+onQR4RzROgqwikitBbhWBEaiFBDhMoilBJJVzSjaOFKZVx5AHPe3YNVbm2Ao3fi6NZM9y28VMJW7H7wxPeHAecFdbc4jJVBETkGaIVFJAL8iE0K2nmT1D6kLl0fFhGpgkW0BB1XHwNVRWQlcIT3PiPewv63wmnovQQco6otsSrRE8Nsg2fzMFVthlXpLQfc5dkWwLTdblbVozEdlmczsWcJlkIc5AxMzDhIUDA4SBfguzBtEVvtFOGI6GjeAj7s0YMT5s6FTZuIef115N574brrYOhQeOIJ+PTzKPlrWzTPvxjLN3X6cmzUr4zj+mQPLFY4p0NGx4oUnn7ZAtLo4vn45IBbgGqEpLup8inwBvB8MUvZTuWw8+7xaasj+hQUtkDyZf/4V0pNfSWe/SFJr9OnT6dMmTLJFVfLly9PmTJlmD9/PpdccgkjR47k6quvplKlSjRv3pxSpUoRFxeXavjxz8dzduBTmvNjHCJF3SGdXLWjJ+8TSExgypTUG2T2mQUZP348V111FWXKlCEtn3wCGzbHcmmabMbFMBPLSrgV+BzY6S0azhCRm0TkVLFIQQBE5KuYaNk58m29hrZjoildjYOtxkb3fS7hjBpD+FlEvs8k+qvIIkKMCGeJcE9MIPGNLtHzh50V/QWX4fI4d/E5XUlI/WzTLb+j8VR1m8bREpKuKN1mZHRUdCxHH300BxKiSGrxYFSSyu2lY9iXnzbkE6WxgkQlgWD6b4nWxRP1de59ijgySk6OCcTExUbF1h937rio/if0Jy4ujrFjxwJw3Z3XMW7HuITFfy6WJE0aDjylIzIWCE01tqUh1sC8/XW9n3WuhnavhDzIfsC59OQD/v0XKlfOetx58+bRpUsX4uPjiY7OXEdv+3aoVg1mczZnh/g+buOp/z3DbX9gFfVuzGB3xR6612OrT6Ux0eTSaX7PrsCuYg6S4Gt/HvyerW296pg5w5Wq2IPZDd45PAuMwdF/cjxmScGVb4FlOBo+1ySf8AR/e6vq8gz62wJveZoiWY11O9BcVa8SkXbAdM/Bh4hUwP43KgcLFoTsNxKojIn/dlXVLSLiYo7zx1S1sojEAjuBo1V1k4h8jukq3qmqnUWkJpbSXiXt+AWBCHViYph3xBHUnzSJ6HPOyXqfIPv3w0MPweOPK0N1LM9xIwFz5zmovppfNucUEW7HnLXVPaeej0/OcOVWrNBFCxz9FUCEWsAvwHOq3B9J8/IMVxYB83H0NgARqgHbgDNV+TyitpVERF4Brt5KdeoFNvHokzHcdluWe2WLL7+Ezp1hDmdypv1pV2ILYkUTu9d2Db69jhf5uNYAVq2OpXyGsf7ZJzEROp6aQJklX/FZYtfQri+AM1FVT6KkNlYArB0WZdYOmzckYmnLi2OjWfekE7j5n6S6R46atl4QYebMmcx8+Q6mXP7738PfiG/9yEy+yc58piggwhHAHTExXBMfT9UaNTjUpo1G16olAYA//0hkxdJENv8dS63obQxIeInbeYrK/AfQEdVwwQl5gyuxKjE/xh/ZqdH5T0cFbrnlFjp37syll17KqlWr2LltPU85uvLKDkmtilQxQFeWAnNw9K5Im5LvWPTqHuBGHM1Qo7u441fG8SnSyCjpI8hbp9c7PWlq76lRdSvVZefOnTz55JN8//337Nmzhy5durBk6ZLo0d+NZvjc4Y8kaVJH4BzPQVcLzzFHGked93tNUiJWFUvX2vQjpAptPpElACxaBGelkkXNPYsW2c+2VkMjyE9P6213Pg2I0JH0TrxE4BAWqfSCKr9mdgwRoklx7GXk6AvXltnvlbM5Rrai+0RI5DAdgZXL/kvX479oeXztUW1KxRxMWP93w7nvLek1Z/vuav8AZ9AvW+MdKOFV+hZROFMUb8Ki8TLFK9QxiJSomlRRJqq6W0R2YdeCdRkMMwO4UkQmYBP04dgDPqp6SEQWYDqEbwANVXW2lxZcGovC+zasA8+VKAKx3wOVSDrUAkfzVGxchAoxMcxr0ID6c+cSXfsw1yzLlIFHH4U2bYTLLh1CxcT/eIThu4EP89LOPGQBcCTQGKsw7eOTU8YAVwJjcaUbjqoqf4rwAPCkCDNUWR1hG/OCtOm04arV+hQcfQCOYhv3Jj3Mffc8QLduUbRokbtBd+6EKy6L57zAp5yRlOybPQGRJmQur1H4sDT3S+nNMcxMaX6AUby57VJuuSmal1/JfaLZ//4HixbDwqRkL+oeYApwJykVxhVL7dsEvAvJ2sONCXHq3did/hVKE/vvEecRTNk5+uijOVC2OYmBrVUuaR//4CMz+TfXRkcYL5LXiY7m+QoVqDB0KNEDBkCjRsSmnupHAVGsXQuTJlXnxXF38crea3kuYWjSJbyZ58XkQv4m3UZfztCh3Wly5Uul6dXrHLp3786ECRM46qijeOedd9ixejYdzjjvhG4tuLwmTM9rW/KRUpSUSDxHFVdKfIVa34nnU9TZoKg80vWRqLqV6gLw3Xff0aFDB0qXLk3p0qWpW7cuG9Zv4K7T72Ly0smyev7qE0VkMxZhF+qg+wu7Ef+BpcO9HfJ+E1biO0U5V+QzPHHbmmyhUcxGZs+ul6kTLzExkfj4+FT6HAkJCcTGxhIIhJ90zJ4NTWPWUy0+OYNvJyEpkaRo4iVid8YNwDPAVFV2ZfbhBfGi3PZ4rwLDu+HHcPgOwkwdi2Vi91Wrf+TvTSuX3Vl7zZamSfN/6fjPjj1V96sG2mKpmqWxG1527TxEPkUYZvH7oUIQUbQIuA5XSuFooZggiMi9WARqpuLSXpTc68CnqvpuLg45FZiD/X+8AemcusGU2t+B7722hZjzs7PXH44haGJrAjFJwL2Qt9E9gQBjypbNmQMvlIsugn/HB7h28D0cxdZpN+qYbF1XIsBSIB5LqS1aD6Y+hQtHE3BlCFbJ7xJSJAZewO6/Y0U4qxBcn3OOOUOqk9phF65arU/Bkfxcdh+P8GnSOfQ6pw3zvomhXg5rI+/bBxf1TuDg3//xStKAtKumRec50JV6mETMNUAlzuI9PqAjCVQDqMVfTEy4ij6T3qXZceQqgvGtt+C++9CySfuHt2FZsJrnUlKKAmSI59hb671exZW6KlG/Tl17LiQembxd48aNOZgAze4qE73zn91Xn9+GW3JuceQRISDCM6rcNHAg+vjjSFaZSU2a2ELhbbfFcNcdVek7+Y1AX7gB4e7cXlu9KrJdsUyKbkDDRtXZO+SsQJlr3zyalm1bcf2Ai+DA3xC/m2pVyiEHt1OxVivipRxlSx0cjSuzcMLr0RVCSuNp4pUQrEJtCaboXLx9fMKzLDYqdv1rq15reEpdCxbasWMHVapUSd6gSpUq7Nixg1XbVrH639XCGr7EHrCDq2d/AFtUNf4wjz0QC6tvBDA4fiyPvPQIo0ZFU7Fi+B2mT5/OgAEp/rfyXsz/3Llz6dy5c7rtd+6EyRMTGBk/NhgF+DowBtXQlarNmGNvEVbx6ZOiEjnm3aQPea/c3yhdqQPcCZwL/AvcAUzA0XTVM0UIYI683EQbpv29LFA1G9tmO31ZJE9Tl7PtZAxJX16EOVpP8H7PM0TkCkxTBuA5VZ2cjX1ux6IVzlTVDHVLRCQG+3/5C4vaC7KRlAfVYDptJSDDgiaqullEfgdGEF5zbS52PdiIVcsDq8DWxXtdlW4PV2ohUY9z7J1C6WpRLL39HlyJw9FfMrIjW9iKc4vBTDg5icFXTZkCuXHgBRk0CD78AL39ozHn3STcpEqWxU0KGlUOiLAEc55Oi7Q9PkUcR7/BlUnAaFz5CEd3qZIgwvXAN0BfSCOWVbSo6/0M1b+rB2z1inn4FDQB5pDEBQDRJPJuYk/O2PIlp7ZrwqtvxdDhMNVI166Ffn3jWbtiH58lnkV1/k7uS4QNUWSQpWEV6aMivnBnaXOdMSmUXliq9wvABIboXwyVJsCreMUSLmAmT3Gb3n770/LHRuXRx4Syh6FgmZAAo0fDXXehwLg9VHiM3OpOSdQYKVsnilrnwh8p04wpU6ZY9Ne6P9n+9skJ7YctfqzTsfLylz+nn68WBUR4JhDgxrg46Nv38PSzq1aFiZMCdOwMAwZwR+OkX6shx2zE5tQ/AG+TyXzPji/RWPRjd8xp1x4L/1sMuMCnKx+n4acrk6a4H/3IyWt+5ONXH+aIcjBjCPT7DDq++wz74+HGrlCpDFWB5ti1vihQciLxjBIfiedr4vkUeWSUjDqy7JH3bLltS0xUIIpPPvmEWbNmJWvinXvuuYwePZppm6bx5DdPbotPiq+pIzRvnFy20vMx0P5fKlM/ahNXDy3Ls8/lTf2HYUOTmDFhL78n1qESu+ag2i28GcSocrhOyOKDK/Wxog1XY/pmTwAT8zo9Ma9Ik76co2jDw/w9tC27X85EYH9AEg/sfLly1ZHvjPz7mdm3bSXvow3TjndQlaRwmngicivQD3PgZZh64k3mXsec24NCinwEC1us8drnek7Bk1X1ojDjjMS08m72NPjaqOpLItIAWB6sKOY5DP/FHIHnq+ovInI08AGWplsluEggIl8Bx17TVba+dEPtppy3OubvHf9xbsfG+vPv+5P2HmJQUpJOyfjPkgmW7nsFULp3YBbb2vRgwaKY5O7XXnuNsWPHsmLFCnbv3p1Ok3PlypUMGzaMJUuWUKlSJQYPHsyIESM8vyCsXg3NmgFwgWpoIlPhQYSnMT2voqv15FN4cOVIYDUwDUeTI2VEeBk4D2immgcLUJHAlTOxCONqOLod7EEcOF2VkyJqW0nElRas5m0epWmoAvBOKtEv8Bqzk3owcEAS99wXoHHjzIfavh3GjYNHH06kia7h7YReHJPGX3cd7JwAl6nqx2nsECT6M0g6BU1qhqMFn1rtSnngcqxQ1/HAt8DzwNs4IRkxQUROxBZv4oE5gp4aFcWEWrWIHT2a6PPPh5iYdHslk5QEc+fCrbeSsGoVkpTEfcCTuY60daUDMJ8qbZiyoAwb/trDyEGtAZjw7mo2bdvLQ9e24dC/v3HcgK/49G6uaXSzpivYJSJjgPOxBcjWaeZFGfaFw0st/Rybz1QOaT8PeArL6PkBuEpV00Xdi8gUTGqgjaous7ZfL4U2r9ar14Tff1/OgAEDaNy4McOHDwdgxowZ9O/fn/Xr19OgQQMAevTowcUXX8zAgQNTjT9pEgwcCB/Rgx58EmzeCfRH9YM0tjQkJdLuDGxBdhPwCfAp8Lmq7kjewZUosl+YKx5Hi4oDD1z5GxiFoy9E2pQCwZXHgHNwirCuZ25RVf9Vwl9AU0xL6Fcs0ub4TLYdiD0A/wa8DMRkpy/NGPOwyKvqIW2NsBS1md77ucDlIf3DsYf80iFtvwBnMJJmjEQ/X/e5qqr++++/esIJJ+iBAwd0x44d2rx5c42Pj9e6z9Q9xEiezvPPEDYpqIJO43IF1Q8/1Fwza5YqqLpcqsHxFY7Nj+9AkX3F0VjjmKhxxGscv2sc12kcpSJuVyF9gQpoKdBKoEeBNgBtBtoK9BTQLqBng/YBdUCvBh362+iGa78eceoS0IdBnwIdC/oKaBzoO6CzQb8A/RZ0GejPoBtAt4DuBD2Y8hXO6jVYobZClMKRiVA/3sb7bRWgUGsfNN4FjXbC0ds9O8bCpQvghtmg98GtcbbtkRuh6gaosh6Of987v1Ng0BVQejXErINS30Dv47zPRVJ/XowEnk3/OdIA2Jmm7WMs5T607S/g4zRtdXudyP9G9EF10weqqnrw4EHd+tOHOqIPemUHJuTo7wvzgh/iVqqpkKivvqqp+Pjjj9V1XX3llVcU0Pj4+OS+Xbt2aY0aNfTuu+/Wffv26cqVK7V27dr6zDPPpBqje3dNiI7W2ZH+LmfyHb8INBG0YqRt8V/F5BXHII0jUeNoFWwDrQq6HfS5iNuX8/MaqHHs0ziSr3ugb4O+GXHbStIrjoDGcZvGcVDj+FZbcKXCH6E3xkTk4CPcMzsmJmkrqHbsqPGPPGJzzRUrVH/4QfWLL1RHj1a98EJNjI7WxKgo3d+bd2YeIHZnmpvsf9ssY+FVu08yFigXYs+lGofqW9US1I16r4A/iyYax2iNY6fGcUDjmKxxnJiTsUDrREXpO6BatarGDxumOmmS6nffqa5apbp4sWpcnOodd6jWq6eHQDUmRr8CPS4Pz6eiulEfnNda/mxQjT01K7OvXSN2qBv96X+vRH3W+VjZ2qo+/zarxX/3XyC/aBz1w58LHbHUwQ2Qch3Kqi+DsW71ntF2hrSVB7YCzbz3LwD/y2D/KVh02/Pe51whEBi/r2rVttqyZUtVVZ06daqeccYZGuTqq6/W9u3b6+TJk1VVNT4+XsuVK6fr1q3TtCQlqV56cYLWiN6meykT+r09uNgctb287+wa7/u7F1swvRFoBqSax5WYVxy7NI5BEbej4M53mMaxI+J2RPDlR+L5ICJfANNUdYqIXATcpartwmzXEAsrboNd7N8DPlHVsZn1hRlnHnbDeFVVn/baHsZCoDeram8ReQCop6qDvP7PgXLA3ao6z6v4uB6vomSph0uturLllce/1PMlAKZNm8b48eMBePDBB6l8XGVOmngSQDsdoakqROQaixiqD3Y3uUqm8Wasw3vvR+W4yMXHH0OfXolcGj+dSRoqf0dvVLMU8y/2uHIMpiHWD0sFehSYHnaF1if3uPIkcDaO5lheOyR9uSCiDdP+HpVNM0OrL+dLtOHxdVYlDTmrzZytSY0qjZryS6qoyBGDTqQWyw/M+Dqp99er2YJp8O31fu5TzSCCWOQ0TLsLSKmWvX27pamkJVx17KlTp3LHHXfw559/Jrc999xzjBkzht9++y15Xy/V6L/4eKqoFj49MK+C6GbgLFU+i7Q9PsUAVwKkpFSdhmP/hyIMBF4C2qqyLFLm5RhXRgGX4OixwSYRFgHzVcmjmqg+mWJZBFOB04BRwOM4moBIFHAW5pT4D3gf1e1eFP85UVFcGRXFqYcOUSN0uJgY/gOWxMcTB7yhyh5EygA9sdSzv4BZeKmJInIZMA5LU+2vcaxGYtbSsH9V6l8qzO0GcD6Ovp+Pn0EAm//fAJyNSdyMA17B0b8z2zU7iNAIGFCqFOfHx3NsUhIxIX1JsbGsOXiQj4FJqqzM7fHyk3AZCtnpC9nmeGA8puu5RFOyCS4GBqpqD+/9cZiWcDrNMS8S71dMm7AZ6LUipz33xBOXExc3gR49ejBz5kxWr15NjRo16Ny5M9999x2jR4/m3XffZeDAgXTv3p0DBw5Q1st1PnjwIGXLluW//yyoecsWqF83kecTrmcwLycfezroFZZNshSLtPsEKxxWktJIw+PKIWAgjhalYhw5x5XeWDGZsoU16yq/8TXxSjgiUh3Tkgimab4NvCAiTTR9xaqLgFmqusXb90XMkTI2i75wTMVuAE976W19sZt2J69/LjDZGysWaAg8gmljzPN+LlSv4uOhxEPTX1v12sNdGnSJFhFi28Ry08smg7WDHby04CVio2I3Hko8tOTwP6XMSYCZ0Z7mlgAT9WoSDkVzztl9ufe+APfcA6VLZ2+sAwfgkUfgsUeTcPRVXjIfZigZ6naVCFw5HrgP+76sxdJnXRxNyHQ/n9yyGLgNV8qF0xfMDmo6jfu9V4ESkr6cV07B0kCVbI6Riovbv0mpGEGqnp3ezppnEr39l9L9Tt338ddh6l6KlE6EUglQKh5KHYLYQxB7YCxlqw0hRS5mKW1oVOcgVatmu3YLy5cvp3Xr1qnSa9u1a8e6devYtWsXFT2hz7ZtIT6eSpieVqGrYKlWQXQjpl3oO/F8co+jSbhyPbAEu+cE090mYxkI40U4VYuIFm0IaSvTZtTmk9eY1lt/LEX0T+BkHE2Zn6omYtHdqVJd1bRqZ3kvRKiKFScJAP/Gx/NXusUV1f1YQaZ0qOqrnsTDD8B3fZ5l89t3lK0srZ8UjT2C699orMt/XPfW4v6yMDGJIar6Y16cPgCuVMKcSUOxQlVzgQuBWXk5p1NlHVY06n5vLlAfuzcfUmXjgQMlQ//Rk/14GbtmpdW0rUdqbcwNQE0RiVYN+7fYh6Xi946OXnlb1apKu3bHEhdnsrxxcXFccsklPP/880yYMIGtW7fSrVs37rjjDqZMmcLw4cNZu3YtkyZNAuDEE0/klFNOSR68Rg247DJh3Gs3MTg+xYnXG3YAx6nm3rlbrDBHeAwlSxNvk/ezNiW0kJnvxPOpi6WAJYBVVRKRjdgFPe0/RbiLfL1s9IXjD2CLiLTHHoYXQ6ry6t8BtUSkLubA+x5z3k3CUty6YEUlgry2+9DuR5x3nMwm0VN1RN6GnopIg0Zw+gLgKK8thgSmaz/aJn7P8EceY8a0mKRbbosK9OsHIfU2UrFjB8TFwZinD7F1cwJPJ93DjYxJJV52kNgfSunBRXZcBHNmbVFNfqAovrjSEkupvhD4GYvAexNHC524fjFlEfaQ0JqQiK+igka2+nIsnkPvhauGHjvkrAlzpm64KIpDldLvEFWGqEb9uLrWRD5bde/rby9qvQf2lId95WBfWdhfDvaXttfB0rA/FvZXKM+W0oQ48XZRkapHHJ6tu3btonKaUnLBAkGhTrwjU4rrVabwPuwvwNJufHzyBkeX48rzwBO4MhNHt6uSJMJ1WFTIQAgJGSka1APWBd+IEKxW+3uGe/jkHtNZfBGbz4wB7s5pJIkqOzDHRo5R1U0i0rJ5HV5sUYezpc1oKFWVWe+9R3yldrLw4S1R3/y096fTH2QstoCeO1w5DtO6uwJb+54OXICjq3I9dhZ4c4HfstyweDICeEdVf/Z0fXPLJCj1eELC9Hp9+6ZkDD322GMAdO3alSVLltC2bVtmzZrFgQMHqF69OuvXr2fevHn0798fgIULF7J06VKmT08dQNbrggBTpx/Pf1SkEibNVwG2+Q68sMR6P0uEQ9pjs/fTd+L5+ESASdjEtwqWkpJcZUZVD4nIN9iEoSEwT1V/E5E6IlLaa09WQ9UR+jsF/H32ws9fXgebxsM5I60SamdAAii38Oz29onfvXL6798cdfPNXHbLLcQcfzwJ7doRW6OGCTxs2QKLFnHoxx+JBj10QeKsXc9wS/W6yQsMxr9UTuzOJzUWCW2AZVgV2puABBHeU6V43tRcORFbQe0FrAQuAd4JpjP5FBgbsAeFdhRBJ16k8CIiDnqv/3j15WkgUSTsha3z4IdRqXfYOg9qVUZiyvHWrU8eR1J8S5xsLDyI/A+4Pfg2mgQOHWZiecWKFdm0Kc11599/k/uCHExZ5y3MhXS+BR4UIVAEo6N8Ci8PYPegJ/DmH6qsFGEM8IQIM4vYvbg+Fv0UJFittrA654s+rpyNzX0TgW44OifCFgGgcWx+/tNA8+0JNZVGVwrA6tWraXdKJ2h1WtRpiTdeEx3QnSISq5oD2RIrKNATS5ntijnS7gem4GRcpKokIiJXYLp1AM+p6uQ8GroTUE9EhmHPSxW9FNx22P98qABQA0ICPMKhqgtFKjWA17jllp/YsCF1olOXLl2YOHEiu3btonr16lSpUoVOnTrx6aef8s033zB5sp3WuHHj6Ny5M8cdd1yq/du3t59LOJGuKZcpN2enXuwJ5nuVpEi8bUACpgdZIvGdeD5/EBIy7VUtyiidYiMQWhOrQch2mfVlxExsMnwQq5R0RZr+uVjEXUPgeq9tIXAx5vD7Lovx8wURKQs8i6UDvwjcOtLSFT5CpDFwHKZj9fWpuuBQEiDCTUCvFSs48aefaBsVRXVAExPZFh/PEmAxyHtvcnE8dq5XYekF/wJvfEmnyYs4aTTwFZZecUGISQOAJ/P/zAsQV07GJnjnYClMvYH3feddhHBUcWURNtnzySlRpZb0Hb3vlGUbPix1IF7l87nz478aWWoLQOcHD9ZYt01jSseIflBPDr51W5mFXHoou5HD92JO/RiApqzhuXXRxMdnXpEvlFatWhEXF0dCQkJySu3ixYtp1KhRKifeTz+BCImqbMjuaUeABViVumbATxG2xae44OguXLkFeA1XJoVULhyJSTw8gaXbFn4s/SptSnwwe8J34uU1rpTDKn9eB7wGDClkzqvrypfWOjsqny9IAICWLVvy4osvMnjQGyyaPYbEpDVVy8RyBLAl26O6UhUYBAzBvl8fY1WdP/Lnc+FR1WnAtHwYN7kqqxeJt1xVG3jvPwbGikgzVf0F+3u9lvWod7weFdXkjgYNKsiGDal7unTpwoABA4iPj+ftt98GoFOnTgwbNozatWtTu3ZtduzYwZtvvsm0aelPt2ZNEFH+1mrBpj8x2SWf9AS1U0qOE8/RRFz5i5AAoJKG78Qr4ajqNhFZipVyn4KF928Ko4cHppf3tYiMxIpXBCcjWfVldOwDInILnmC7+Q9TMdcbJ8G7qQB8iTl3vsnRamAuEZEWwOtATeAiVX071QaqvxEmVF+VXVjKQBaCowoWZTc6tLU3gHA25rjsE9IVDdwgwlPFIuLElQ7Y3/cs7FzPxSZ7hU5AvwSyGHtQ9ckpl+y+5/VLuCdc17xLczGuajwi5wIfAjHt+Y4Dh6JYvhzahbhdExMTiY+P55AXpnfw4EESEhKIjY2lT58+3H333YwYMYLhw4fz22+/8dRTT3HzzTenOtS330JsLD8eOFDw2oaHwQpMe/FUfCeeT97yBuaUGI8rbXA0QZVdItwCvC7CJNUiEa1cHUvBCnXY1cfy8nOVnumTBlfaY3O/aoCDo69G2KLUuFITiXpCanYTtHpyc/fu3fn+++/pcsaZNGvQPOr4OmtY9BBn4+lVZzFmayxl1sGiticDY3H01/w5ieKNiEzA5sM1gE9EZLeqNslG30RMr3xWZuOr6m4RGQTMFJFoYBVwZdaWDf9RBAXSPcAtWbKEhIQEmjRpwgUXWNzBqaeeyvr16xk40BKpXnnlFapUqZLcn9omUBUCKY82RwHHYMEcPqkpeU48YxN+JJ5PCedaYIqI3AvswiK7gNQ3AFVdJyIjSKnSNg+YAJBZX2ao6juZdC/CUm0/DGn70ht3UtanlXd4EYrXYc61xcDZqlrQujG3Y5pkaamDVfb6qGDNySNM4LkzlqrUGUvX7AZ85jvvChWLgOG4UhlHd0baGJ80qM5B5Ajg/mP5uVeDmM2NJ71SK7pdu5S59fTp0xkwIEW7pnz58gDMnTuXzp0788knnzB06FCqVq1KxYoVue6667jllluSt9+3D6ZNI+HgQTK7bkccVeK9KpunQgnQDPUpOCwqeShWCOAGUhbc3iSlyEUb1UKdbg7msIPU+nf1gI2Fsep0kcSVGEzL9z5sTtwVRzdluk8kkKhH0cRyJOyBrR/B4pQAwfvPhvvPbsXSX7ZxYGMZSpeKfwZXXsfRfenGsfPtg/1fnIbpF98GTMfR3QVzMsUTVb02h33pquN57RswXdvQtuSCKVnYclXI2z8SEghs2gSdO3dm+fLlAMTFxTFkyBBmz55N9+7dkzcuX7488fF2aUxKSmLChAlcc801qQpqBfnNC4eokyIvFAXcSepABh8jmE5bkjTxwHTxSmwknqj/jOzjA6/G3oTGb8bRt9J2iT0YT8QC4h4GHsxMJyI/8MSzx2fQnQDMUeWcAjQp95jz7izMeXcaFnn5IPCl77wrhLhSE0tnOAtH/aqfhRwRbixVimfWrSOqVq28GXPMGLjlFuKTkqijyra8GTV/EOExoLcqx0baFp9iiCsPArcAxwYdMyI0xSJY7lXl6UialyWuXIxlFZTGsawGESYDtVTpnum+PlnjyjHADKA5cBfwQqFNH3297OV9nj44euXvSeUOJBCoW1UOfvtg7Op/9migx2PxR4tAtYoSP3Fw9O81qgRWknhgQKo5mis1gMHYQvdRwPtY1d0v/Llc8UaEisDOt95CLrzQ2l544QXuv/9+Zs2aRYcOHTLcd/bs2fTq1YsNGzZQu3Z6P8yMGTDgigR2a3lKpwSYbUdT8mvz5BxGyVHAtrwufFiguNIC0w0/HkdLTvaBK6OBU3G0faRNiQS+E8/Hx5VzgQ+QwCE06VgcDanWJh2AOGwFqJ+qzouEiSLcDTyG5dsmkj6KVoGGqkWgqpw5787BnHcnAZ8CD+FoUUhBKtm4sglLiXks0qb4ZI4I5WJi+KlTJ2p/8glRgUDuxvv1VzjhBBIPHuQpVe7OGyvzDxHOB94DqqryT6Tt8SlmuFIG+BFYjKOXBJtFGIVFHzVTpfBFXQVx5TbgVhxNfnoW4QtgrSqDI2dYEcfmN0MxneKfgf7F8qHazrM9FnV3MbAbW+wej6MbImiZTwETG8ui886jzTvvEAAQEaKjoylVqlSq7T766KNUTr2ePXsSGxubrJeXlnO7J7Dv82+Zm9gxue0vOFgLHge+ABbmRlZJRkkUcKsgjwQk8H6iJl6nI4po5VtX2mLZMk1wtORUX3blduBmHC2RKbW5nNb7+BRxXCmLxEygzgVJlG8cQKJfxBURkSgReQBLgVgOtIyUAw9AlcexkOErsOpMwSiYRO+nYOXjCy+uBHClN5aO/AHwN3Ayjnb3HXhFhsVA20gb4ZM1quyNj6fv558j999v+jI5ZccOuOACEpKS+BFzvhcFvvV+nhxRK3yKJ47uxzS/LsaV0Mi1xzFd4NFh9ys81Id0i34ZFTXzyQ6u1MYKNzwHPAOcUuwceK6UxpUrMYfBt8Bxp45gfqAfe6Qfd0q/1CmaIjJGRDaIiIpIq4yGFZEBIrI85LVdRN4J6T9PRH4RkTUi8o6IVMxgnCnesVqHtFUQkT0istx7P1lEhof0X+7t0yCk7WMRGXiYn06JJD6eZ2bORILpr6pKfHw8e/bsSfVKG5X3/vvvZ+jA++knmP1pNDclpg5o/hx+xYoHfQn8KyKfiMidItJWRKKya7OMkiYxgZivoyTq8Zva3xRTrVy186MD0b/IKDn/cM69EBH0mJa0dNpNQE1cKZHycL4Tz6ekM3zV5qgap9+9KdDhkdLRp49MOOuBN3kYq5Z7H5Yu00tVt0fWTFDlT1VmqHIlJmDbDKtIORtz5vUX4cJI2hgWc95djDlD38UeEtri6Hk4GpEKwz45xq9QW4RQZaEq1zz6KAwbhh7IwfRuzRo49VTi16xhW3w8vVUp8IJCOUGVv4E1mC6ej0/e4+hs7J72Aq6UBlAl6Ny7SIQekTQvC1I57EQIV63WJ7u4cgmmk9gYOB1HhwfTlIsFrtTFlUeBP7CIu7VAB6DNt2t5UE0SJVwmyFvA6Rn0JaOqk1W1VfCFVcCNAxCR8sArQG9VbYrJetyfyXBLSF0lui8WFRlkLqa/HKQLVkits3e8aM/mLzKz2SeZt6KjWXfVVSQmJma9cVYkJMDAK+M5IfpHevJ+aNeGy+FMbAGiCfZ89i+mF74I2C4i74rIDSJynISpliijRGSUXB8lUauaVm3adsngJYHRPUbz89Cfoy9rflll4L2oB6OmyiiplPszKVCCmnglrbDFZsyXdVSkDYkEvhPPp+TiynEQuLP6qcOjPpj9KV8tXMmEB3rqRyu5t1IZagEnq+oYLYQ556qoKqtVGavKuUA54GXgLRHuFElfKarAcSUKVxxMI+h14BegJY5egKNLImucTw5ZBNTFlRJ5wyyKqDIJ6DthAoeOP574OXOyF5W3dy888ggcfzxJ69ezOj6e9qqsz3eD85ZvgVMibYRPseYmrFr9XcEGVT4C3gZeEKFMpAzLgrRRd0eRvlqtT1a4UhlXZmBznDeBVjj6bRZ7FQ1cEVzpjCtvAevxCrcADXD0Uhz9GkdVVeerhi/YkVlfRohIe6x6crDIwtnAMlX9xXs/DrgskyHeAc4TkWB00gBSF8ObC5wiIrHe+9MxuZrO3vt2wHZVLWr3u4jgBd5d8u2CJBk5MtdjcffdsGypEpfQlyirTJsIvAachuo2NX5T1ZdU9VIsqOEEYBQmffQwJnXwp4jEichAEWkgo6RudCD6MyYxLvbp2FIXbLkgumWNlgDs3LKTWQNmBY7/8HgCUwL9o36OWiej5MzcnU2BUpKr00IJrVDrO/F8SiauCBLzEpWba/WT76Jy5coAlG49XErFRPHXOD5V1WWRNTL7qHIQ02G5BUvneUmEmIgY40q0l27xEzAdWAY0x9FLcHRlRGzyySsWez/9lNoihCpvJCZyzMaNfNatGxx9NPGPPw5ffgk7d9rEOSkJNmyAmTPhuuugenUSR4zgYHw898bH06ZQ63tlzAKgvUg6DVEfn7zB0T+wh8d7cKVJSM8t2MPlXWH3izz1Se2wq+f9LPy6uoUFV87Aou/OBHri6LU4uifCVuUeV8rhymBgBebwqgNcCdTD0QdwdHM+WzAQmK6qwQrP9Uj9vdwA1PQi5sKxD5gD9BaRZpjcTHIknqr+AfwFtBeResA/mDZzMGq7C34U3mGhyN5xSdfJww/DPfdATiLyEhPhtluVZ55O4qWkQTTnx2DXKlQvQ/XPsMdWTVLVH1T1WVU9H6iKyWiMwRYnXkBYH9gf2FCrXK0uM9+cybjnxhEdSP31adWqFau+X8WfP/wp5/Q6pzIwR0bJ6Yd/JhGhpKbTBr8TJbJCre/E8ymp9EcTTqP9xGi8C3lCQgJDb32A++8aRplYGYKboqlRFPCi857Fqug6wEciqfVJ8hVXYnFlELAaS334Fqvc16/Y6cKUVBz9B1iHn1Jb5FDl94QEzgXarV3LpPvv57/OnaFKFYiOhqgoaNgQLrgAJk9m9b593JWYSD1VnlAlPqvxCynfYlHKLSJtiE+x5lngNyytVgBU+QMYCdztVa0tPLhSHjiC1I6ReliBrPx20BR9XCnjVUX8DFvYaoGjH0TYqtzjSiNceRqLbnkeW4A9CUdPxtE4HM33KB8RKQdcis0hc8MkzBk4EJgcpj+YUtsZ+FJV9wPbRKSh1zY3l8cvaVw9mJdlMlfx1BMJnNY+npWHsWS/dCm0PzGeF55LYAaXcwXTQ7t3Ho4hqpqgqt+p6mOqeiZQBaUru1jTqEojep3UK+x+q1atokOHDtw8+GZOOeKUQJREHQCWHs6xI0hp7PqdEGlDChS7Jv2NH4nn41NCcOUIJPo5ml6nVDVfRFJSEv3796dXr150v+oZqNouEYmZiJt9odTCgiqzMK2SY4EFIjTM1wO6UgpXrsf0p8ZjK5hH4+hVOPprvh7bJxL4unhFFM/Rv1iV6xISqII9uJ+blMRlwCXYdaPiwYM0U+Vp1eQCOkWVH7GqiX5KrU/+4Wg8cD3QHegT0vMcdl98vlBIXKRQ1/uZNhLvr6KieRkxbHF3MeYcGgD0wSmiFS0hqFncHVc+wHTu+gJPAXVx9EocXRS6uYhcEVJ8YkA+WHQx8KNqqoXfjVjkaJAGwF+qmqHDQlUXArUwh+BrYTaZi0XcdcEK2IEVS+iG6fv5kXiHx1EAVzGVxXoiumIlrVslcW73BN5+G/4O8x+ybRu88Qb0ODOBtm2V0quWsExb4fBq2k2n5cYwVT2gqnOTjkq6/8uNX7Jlz5Z029SsWZP169fz1Vdf0alTJ54e+bQq+q6O0H25OXYBUgo4iFP45J8KgM2UUCeen2LiUwKRx4kuV4Hj7hHid6OqDBo8lJbNm3H9oMshYS+0eSaaOR3aANcAL0ba4sNFlaUitMeqwH4nQi9V8lanxZUy2OdzF3AktnL6BI766TjFm0XAXbgiJXTCUCxQRTGR8j8ibUt+oUjMjTz3exfm3oTMPAZLsfoI1TyQ3/bxCcHR+bgyFXgOVz7F0d2qxItwPfAVcBGmmVYYCDpENqZp8+/dGWELundiqdMLgfNwirBmmisVgaswGZajgfnYQs5MnEydY9PIpVMlCwaSPgrvY2CsiDTzdPGGEN4xl5abgCNVdXeYGgdzsQIdDYAbvLYvgReAzar5njJc3FgV/KUlK1mQcBJvcyETP7+Wiz/tghKgRrWEpGo1ohMA/voL2b6dGBH0+MCv697S4Y17J84kQJopZUP2c1WeOVQ/DEjgwJs/vlmmAhVSdZQqVYpSpSwjteN5HdkxfIeguHl03ILAnHglk0346bQ+PiUAV6KQ6N7E/xfFe/XgzYp8eG8lXHcGH8eNpHPLivQ5tSLMOR1QCJTqAyAiG0RkdcgKZN+0Q4vIAK9Mfe+szBCRKd62lUPa+ovIChFZJSKfe1od4fY9x9tmlYh0D2m/WkTuDb73NKxOB74H5oqQzuYcYXopt2FCx09g1cca4egQ34FXIlgMVCMlmsPHp/Ah0gHYOIabml/AzKOBG4H3gR8RKVzpjT7FhTux9O0RwQZVvgamAM+KpHlyjBz1sAjVnWna/KIW4XClMebkGgUMB7oUWQeeK8fiylgseuVxzHHVEkc74ehbmTnwMkJEJojIJiwa5hMRWZvNvokicn7I+2OAVliRkGRUdTcwCJjp7V8HeCgru1T1c1V9PYO+v7Dv+zbVZB3DBUBD/Ci8nPAKdk0BIIokLuFNPk08ky3UYDZnx8f8/ecTP/zAcz/8wLPbtzMc6K5K9R8SjmvSh3cHBNBVIeP9TQXGM5xNNGEObvjnocNBR+g+Rd+dsXJGuu/4f//9l/z7EzOeQKpKAqaTWFQoRcnTwwsSvL6UOKQQFt708clfXDmeFBHnrFiFo3+IyAasvP3ycBuJSAPAxQR0n1DVmRkNKCJ9sGpbg4AqqrrTE9+dB7RW1b9E5HLgMlU9N8z+i0lJ2XlHVduKyFHYyuRZaVMMRIgCnsEeYu8HHvGicA4PVypgq7a3AWWx1NmncDR9bLpP8cW+B/8BF+Po25E2x8cnHSI1gV+B8hlssQ5oRopwuo9P3uDKdVg0T2sc/QFAhGqYVuxkVW6LpHkAuPIw0BtHmwebRFgKfKbKnZEzrJBh+oYDMc3DdUB/HF0RUZtygkURngcMw4pwrAfGApNw9N9ImuZTfEiUqK4HKP1JOfalzfLbDzhk8lyUjAUvxAK/oxqPK0dh2pPVseeYV3B0e05tlFFyHu/yftODTUk4mECjRo347LPPmDlzJg8++CAVKlRgybYlurfT3tf1Rb3MTJKmwFQs4+g/4CpV/THs+CIDgbuxIKkvgCHBAi2Z9aUZYx5WZKWOqm7z2hph6e6zVLW3iMwFXlHVGQAXtZePP1hK94MJlFHVA94+vwBDVfXznH5eRQJXhgNX4WiTLLctZvjptD45QkTGAOdjKRitM3JueduGvXCJyCmYIwggBvgauFE1vXhuTi5qIjIcWzWtHOai9lEuP4JQ2wJYWP4NwNNZbHsUcC+mwzEopKs5sNJbHQSYDUwTkaqquiPNMPGYE00gWb9mNHBXOI0QVRKBm0RYg2n0NBFhcLa1b1yp7J3bzdjN9QXgmSKtA+OTcxzdjSs/Y7p4vhPPpzAylDQOvEQCbKM68cRQjr2NKrPz4iiKVLqMT9HgZeBqYDyudMTRJFX+FuFuYJwIU1WJdJX2tJVpg21+JH0Qcx68jDm/ngbux9GiFeniyhGYE3IIljb6KdAT+AjHlxTwyR0iPIBFgD2hyq5oEmtUY1v0LM4fdzLfNcae+b4CJqOaver2qqmvS45uxZUuwBYscvRRXJmPBS3MxNGth2n2p9EXRu9u1qRZhVY1WgHwwNwHoBKc9/R57I/fz/xv5wv2TBdkAvCSqk4RkYuwyOp0utBeUZSHgDbAVuA9YDCWCp5hXwZ2rgT6k/JMeTWwJKQ/WJhlBsDKjTQ9rjYHlv3OycA8sYXMBsA32fxcijIWiVcCJX58J55PTnkLeBJzvGVIFheuFUA7z6EXwBwCQzCHVDgO66KGOcqWQ55d1KaJCWt8D9ytmuzEuhX4RlWXhNHdSMvLwJ1hNDpWAG1E5GhV/RW4HHPS1QfSOvHuxFaFAG4RkfOArar6fWYHVuUFEdZhqQoNROijyj8Z7mATwJuxCD7BHIDP4aRzKvqUPPziFj6FmVMAfuJYJjOA+TFn8EPicexPKp28QaWYvZP2xnB1QgIzgThV/IgUn9zjaKJX6Ol74EpSKmNOxBwq40XooEpSpEzEMhGSCweIEKxW66fTArjSC5ur7cdSZ7+MsEWHhystsYXXftii7xRgLI6ujqRZPsUHEaKx9HKA60V4FLjjb6q/dLIuHJqnB3N0O668hn2fA0AnrAjXeFz5BnumeQdH/8xqKB2hh2SUjJ2zbs5Fc9bNCbtNdCD6n4SkhHkAIlIdaIsVPAF7Tn1BRJqo6to0u16EBZVs8fZ9EQvaGJtFXzimYprjT3vPx32Bcd65gz3vTvbGij2iPEcMPYvty6bTGcvq6gwsDAawFHM2Y87kI0j/vFys8Z14PjlCVecDZMNpleGFSzVV1Z9YoAxkmuZ5WBc1TNviEciTi1pHVd0oIjHAw54t54hIc+BCoGNWA4jIIGCjqqbT21DVNSJyHeYojAY+xPRqwkTW6VdAe2/MCljUXg8RuRmrqrUVuFVV00XaqTJbhNOxghcLRThXlTWpNnKlGuaYHIZNAJ8GnsfRnVmdo0+JYTHQG1cCOBrJh1Efn3Qs4BTuj3qMLxI7Ua/mIXr2iWVwa2jSBGJjYfduWLWqXKnvvqPre+/RJT6eZ0QYCzygmqLr4+OTIxxdgivjgP/hyiwc3aFKklfkYhFWUGBSBC2shxULCBKuWi2ejMhBzJkF8FhQYyyzvjRjdAY+wtKJg5yiqvu9edyTQA/seeQb4PpwcxcRuR+rNLobuJaUhcx6wB6sEml1Vf1HRNphKbDlsTnlreHmXWnGHwU88MldzOx2Ar2BqW9/zx0XPccI+slETG9qhapeHmbfc7zzALhNVT/x2q8Gaqjqo5kdO09wJQa4AJu3dcA+7zuAaTi6K9+P71PSqJLm9/8BicA8ESRHkj2ZMx1z4oEFFUR5v5+GLdqNwZWG2dHl1hF6D3BPNo9bl5BKyKqqIrIRu+6kdeLVI3U08wZSpJsy6wvHH8AWEWmPfb6LIdVC43dALRGpCzQ8ugZbz2zOISx4ZaT3s6RoOwajPOvgO/F8fPKUTC9cnpbce0BjzHE1LpOxDuuihq2Ez8MmyyPJxUVNvRBvL2rwWUxvCWyy1ABY4zk0awAviUhNVR2fZpguQEcvci7IShHpparLVPUtLMIREamBVX1Ne5NIy6OYo7IG0EtVu3iT0X6kRACkORdWiHASJvK+UITeqnyFKzWA24HrgX3euOP8CaBPGBYBlYAmpPwv+PhEFBEEuC8gX3dufXwiHz8JZ54ZS1RU+m272bq6/PcfMm0agfvuY9iBA1wqwmWqzCtQw32KI/cDF2P36GshuWr8WOBJEd5TjcADh+mj1SF9ZVoIn07bNxO5lMz6Qlmtqq3CtA/EsjTaYAuGL2EVRf8XupGIVMSyE47D5jb9VbWViJyFOa7WAZ08B54A72K6VZ+JyNHAZyJyjKruJwwiclL1inSLjSbhiPJ0Bi7C0bcv6iejMSfg0d7De40Mzu9B4Bzv93ewAg5HYZkjZ2X98eQCS/u9BrgOc2R+gEUNfVbSUst8CpSqYdoCmETFMBFuUmVxHh7vC0yPrlKadsH+R38jZUGhuDAJu0ZWwa6NyRVYVfWQiHyDBac0PP0Y/jq+DjFAHREp7bUPLHCLI0OwknRtLKutxOBXp/WJKKq6QVVbYk6oUqQUbMiI4EVtIGlWsr3V2+BFrTMwT1V/I/VFbe7h2igi5UKryAKXAcu8Y45X1Zqq2kBVGwALgcFhHHioaj9VrRuyLcAJqrrMO05N72cUVvU1bbRiWrtOBiqp6sdYRbzghC2JjAXdPVv4C4tgnA/62cgLR36MiR1fDjwANMDRx30Hnk8GrMCiRP2UWp9CgQiBQICXAwEe/N9TgcB3S2Po3p2wDrxQKlWCG26AtWuJPvtsqgcCfCbCBQVjtU+xxSLXbwOuwZWTQ3ruxxxWj0XCLKAmtoAf6rALVqv9L+we+UdL4DNVPaRWZe8jzPGVlkQs8iYGm+scEpGy2Gd5NzYffMXbtipQTVU/A/DkSXZixcTScUUHqVT/SGYuepj28YnEj3zHCjaJSDlv3Ps82whmlIQhqFNcjmzoFOcJrpyEK9MxZ+ytwKtAYxw9H0fn+A48n3wmnBMvmJp1Kil653mDo/HAG9j/WiiJ2Hz0ZBzTS89j/gBqehlSeIsEGVXy3kjKgghYgMfGbPRlxEygO3adDFecYi4WHNLl/BPZhkVGL8QWj2pjgS3FH3tO3U0JrFDrO/F88ptsXbi8Eu9BzYPMmEk2L2qQHE2R24vaUcBcEVkpIj9gzq8rsrOjiDzopclmh0ki8hMW2fQflnac0bgxmKPvNgBVXQmsE5FV2LnPyGjfIBonVQ9Ojf3rlrNHR416Z2T3nk/N+nLLzqMa4ejTOLo3mzb7lERM4HslvhPPp/AwMhBgwMyZyK23Zu28S0v16vDuuwQGDSIgwpsi/nfbJ9e42DxkPK49BKryH+Z0uUbEtBsLmGAmxMY0bRszSIGbJiI/iMgrIlLtMPpCaSwiS0VkkYgMCWlfApwvIhW9Oc0l2BwxFaq6F6tMuRDohenzPohJfTTHIlU+8LbdDvwlIpcAeKm1x4QbF1eai7B2eG+q1qvKkK3/se3DZQQrXzYG/gHuFZHFIvKViJyRwfkFdYqnALdnV6f4sHGlFK70x5XvsbnsCVgRnzo4egeOrs/T4/n4ZEw4Jx5YEMEGzLme17yOOfKDKOY4HJVfWt1eIcWlWIADmHzSpjB6eGB6eeeLSA3P2Xcd9lybVV9Gxz4A3IIVfAwnWzMXqzZdv8MxHMRS/r/EFje+CSdLUIzZTEikYknBd+L55DcZXrhEpIk3cQtq2F0AmVdtO5yLmqr+4rXl6qKmqutUtbWqnqCqLVS1l6puyGDbzhpSRl1VH1DVFzPYVlRTdOZU9WxVPU5VG6tq2Cq9IdvGq2qnkOIaqOogVW3u2ZCxSLsrjXDlZWBtbHT8ec9cftuN5UrtGfbBsp5n1hy65WURSme4r49PCosxwV8fn4giQgcRhj/3HIGePXM+TiAA48cjHTtCTAyvi1Au76z0KXFYNNRQ4HisaFeQ17D0sPGeQHxBUg+LXgkVgc+oMm1HVT0BS3fdTooOXVZ9oSwF6qhqG2yOd13QwYY5vT7G5mhfYguYYSPXVHWcqrZS1R5YxEUdb9+JWKRd6OfbC7haRJZh6blfpxrXlQCu3PrJSpZu3E70oC40x0k3T4v2PpefVLUtVuDrdS9NNq1tX6lqe1VtD/yASaEMF5GbReRNEXnBm+PmDFfq4MrDWFTQZMxJ0glohaMTcTLO2PDxySeqQqriPAlYFOoDQDPVsEEWueVLUiSUkoA3McfeW7ipZIrymmuBa0XkV8w5OSDYISITReR8sGdFYASWEbYW+BurbJtpX2ao6jtetlU4FmELGN9jmWwHsc+oKSVHDy+IVagtYYj6Edc+OUBEJgDnYmmwO4DdqtrE65uIFbOY5b2/hpRVmXnAdZ623GBsYpSITZg+xyq3pis8ISLzgGdDHWRe+1VAb1Xt7b2Pxi7yH6rqpV7bMcAvwD2q+njefAJFEFeOxqL7LsdW4R/FRI8PAYjQDbsp/gBcoMrfGQ3l44Mrg4AxQEWcfEoZ8vHJAhEkJoYVnTtz3CefEJV1raWs2bQJmjUjYe9eRqiS/6L0PsUbVx7FCg4cg6N/AYjQDFu0vEOV5wrQlruAITianCEhwpfAT6pcn9FuntzHr6pa4XD6wmx7D1BLVW8I03cpMFRVO2SyfzQwB5M16YOlrbbE0vcGeg/Laff5GRimqp/jSj3Medjx/KdZ8P5SGpOSolcH2IY9tH+LFQmLVdVEb5xF2Dzys0zsex7Td14DTAzRKd6gqmF1isPiimCayzdgzs9/sIf+CTi6KbNdfXzyGxFux4q5BO+4s4FhquRvNKgrYzGH/RgsoEOw/4srgctw9K18PX5hxZWZwH4cvSzSpkQEV6YANXC0R6RNKUj8SDyfHKGq16pqHVWNVtWjgg48r29Q0IHnvX/Ziy5rrKoDVTXea3/JixxrqarHe9FnYSvHpo1wC2mfEnTgee8TVLVC0IHnta32ot5KpgPPleNwJQ74GdOqGIg9TEwMOvAAVPkUq/RUByt40Swi9voUFRZhFaWPi7QhPiWajvHxtHjooRQH3muvvUaHDh2oWLEiIkJCQoqP+bvvvqNnz57UqFGDihUr0qJFCyZPTv1sXacOXHcd0TEx3CxCziNofHyMhzEnzNPBBlV+wR6CHxKhVgHaEk7PKV1bZlrAmfWlRURqelVoEZEKwHkh45QWkSre70dii71PhhsnhNsA19OnOx3Y4mVdKKZJl6wv7P1+DbB3RB++wJXLsUXKWsDJs5ZoR1WtHaJTvAk4R1Xf99JyP8fkWxCRhljBtJ8zMiw3OsXJuFIWV64BlmNRNfWxyJ+6OHq/78DzKSR0xhxofwO9VDk33x14xu3AScDNOJqEo4nAYMyR9zquZCXJVFwphaXTllRKZCSe78Tz8SmuuNICV14HVgGtMcHo43B0qicSmw5VVgHtsRvztyJ0yY0JIjJARFREeoe0VReRj0VkjYisEpGOmex/noj84m37jlelLsu+NGPcLyI/ishCEQmJPpApInJabs6vhPMjNmnwU2p9IolzwgkktG+f0lClShWGDBnCs88+m27jHTt2cOGFF7Jy5Ur+++8/xowZw0033cTMmTNTbTd0KMTHUw1LW/PxyTmW7ngDcBmunBnS8yiWyfBMAVqTymEnQrBabdp02sy0gDPVCQ5NMcM0pH4QkRWYpt0cLCUUrNLkAhH5EfgKeFFV38/IcBFpjDkPJnpNTYD9nhbwGlX9wWsfLCK/isgaoGf/0xkw8kLeAKbf7rKk7ADewdHsVM68DrjDO8eZwLWqujnchrnWKXalIa78D3sYHYtFabbH0ZNwdDpOxvIqPj4FiQjVsICAL4AGqszKYpe8w9H9OLooVeEWR5Ow6+szwHRcKSlVWUMpjaXTllRKpCaen07r41PccKU1pgF4Abbq/DDwtrdilS1EKANMA3oDg1XJfhpI8hjSABP2FuCJYCSliEwCNqrqSE90+l2gYTBCM2T/8ljZ+E6q+ouIvADsV9U7MutLM0ZFLGLsOKxoygmqeruInAVcoKqhOjo+h4srC4AVOJphGpaPT35Suoz+NHSIHPv00+n75s2bR5cuXYiPjyc6OmPpsd69e1O/fn2eey51VmPN2kkJW2ovnsL37a9X/JRxn1ziyntAM+CEoFNGhPOA94FuqswpABtWAh/g6L3e8etgWmsdVPk6349f0LjSA5iERcUNwNFPI2xRCpYyeybmgDgP+AtLC34ZR7dG0jQfn4wQYTrmmD5OlV2RticZ+38aienyDcPRsZE1qACxufgiHL0p0qZEBFd6ArOACji6J9LmFBR+JJ6PT3HBlZNw5X1MSLoBphfTCkffOBwHHoAq+4G+wFPAJBEeFcn+9cJLn5mITU7Trg5dArxox9FFmMB2uGiXs4FlIQVKxmFpO1n1hZIIRGEVrcoBh0SkLObkzI/qWSWNRfgVan0igCCXSGLU14fik45t1Srn4+zatYvvvvuO1q1bp+tr25ZoGq4fBGwS5OacH8XHB7AiC3WxlDAAVPkAeA8YK0KpArAhbepsuGq1RR9Xynn6WR9hUX4tCo0Dz5UKuDIMS839FKgMXAo0wNGHfQeeT2FFhLMwXe1hhcqBB1ZIyNERmPb3C7hye1a7FCP8dFqjREXjFXRVLB8fn7zGldMwp1R3rEpRT+DDVOHmOUCVJOAeEdZgehNNRLjSc/Blxa1YNeAlEqI0LyJVgRhPzybIBlIeJEKpR+oUnw1ATU/YOsM+1ZSIGVXdKyLPYGk8WzDx2weBp1W1cE1AiiaLgOtxpZSf7uOTY1ypiokyZ6vKoiCPAXeTEI0mRlExbCJ91hw6dIi+ffvSrFkzLr/88nT9lSsGkJ3lUUsfHC1IBUUfytnRfEo8jm7AlYeAB3DFxdGghtRNwE/AHVjkfP7gSiUshTXUYVef9NVqizautAemA9WxCPxXczsfyhNcOQarVnwVtrAYB1yKo8sjaJWPT7bwMnTGAzNVmRlhczLG0cdwZT8wGlfKAA8Xiv///MVPpzVqA6sjaUhB4kfi+fgUVVzphCufA18DFYAewMk4+kFe3rBUmYQ5CM8C5opwVGbbi0hzTAcn/x5GDgNVHaeqrVS1B6b9Uwf4WETGisibInJjhE0syizGHkZOiLQhPkUUV5qBbEGiZ3vpMJkiSHOCUbQx8RBIZE8Okif27dvH+eefz8GDB3n//ffDptvu2pOEltkb2nSXYEL8Pj455Gls0en54Pddld+xxaX7RGiUj8cOF3VXD9isStFPF3clBldGAt9g59gCR92IPsC7EoUrPXHlE+AXbJH1IaA2jg7yHXg+RYjhmGM8XWXpQoejzwLXY9fVR7IztyjilKJkO/G2A4coYcUtfCeej09RwhXBlTNxZT4wD/sfPgM4HUc/ya/JqipfAKcA1bDKtcdnsnkHLJ13jYhsAE4GXhKR61V1B5AgIjVCtm9A+FSejViUQOh2f3mRdpn1hcWL4HsKuBlLB/hbVS8GLhCR/HxwKs78CuzCT6n1yQmuCBI9gbJ1BE3oRPiU+LSkiFYHlNjj1rJixeEd9t9//+XMM88kOjqa2bNnU758+MKRi5fHQ/NVoU3lsMWSjHGlIq6cgSv34co0L8rQx8ewivBDgHOBXiE9o4H1wPMi5NcDZ0ZOvKKfSmtRbt9gDv7bgG44+kcE7amCK7cBazCtpgD2926Co//D0X8iZpuPz2EiQnPgTuA+1eTUxcKNoy9iUa93Ac8Uc0deyXbiWXGTP/HTaX18fAoddvPpgQm2ngx8BnTC0fkFZYIqv4hwMlalbYEIF4UT4lbV8VjIPQAiMg94NljYAngTq/oWLGxRG/gyzCE/BsaKSDNP+24I8Fo2+jLiNsBV1S0iUg4Tusb7WS6LfX3C4WgSrizBd+L55Ix+aGJHTn8DfpukrJv8PK7MxtGd4TYWkVh+57jQ5PtD7b/i8/mNsIBQIzExkfj4eA4dOgTAwYMHSUhIIDY2lm3bttGtWzeOPfZYZsyYQUxMDOH44w/4c0MpaLcoVfu9q+jHStkPfItV8T4WuyafDHQEmmLFfBKwOdZssr42+ZQkHJ2LK3HAGFyZg6N7VTkkwhBgLlZQ6t18OHI9YCdOKimJou3Es7nR9dgC3S9AGxz9KYL2nAAMwxYKE4GpwFgc/TliNvn45AJPD3sCsAzTny46ODoVVw5gqetlcGWI5/ApbpSmZGvigeni+ZF4Pj4+hQSLvOuFad3NBv4FTsXRswrSgRdElb+xyL8PgY9EGJyDYe4CThWRNcAU4PJgZVoReVBErrNj6W5gEDBTRNZiF+eHsuoLh4g0BjpjxTYAZgBdRWQVsEZVf8jBefgYfnELn8NCRL4KiOy47w15iSbXKEeezIbKQ+SUkVrluDv4UUS+E5EzRKSUiHQQkeEi8hmwkxfolmqwvq+z9LsYli1LaZo+fTplypShe/fuAJQvX54yZcowf/58JkyYwA8//MAHH3xAlSpVKF++POXLl+fss89ONez48RBdfQd0mZvcFpWEDvqNppiDZQuWvrEKeBlb8T8akqOogouk8/LkQ/MpbtwOVMT0bAFQZR6m5facCOHDQ3NHfdI77OqTWl+26OBKLaxwxfPAM5icSME78FyJxpWLcOVLYAVWqOsuLGV2mO/A8yniDAbaA4NVOawieYUCR18HLgKuBibhStTh7C4iVUVkecjrVxFJEJEjvP57RWS1iCSJSO9MxumeZpw/RWRpSP9bXpuKSOVMxrlaRH4SkWUi0sZrLtX9cbqLiHM451bM2EwJi8QTLfZajz4+RRBXAlh12eFASywd4yEcXRxRuzy8dJ+RWGTgU8BdXiEMn5KGKxdjkUaVSlJpd5+cIyJ1H7iAqUSV7jQq7s8AsVVISEggsGEG8v0AejzOa5/+wHmYI6w0liYxD/iSPizlLb5AqACAQnSLn+nRpCmz3o0iLxJmtm6FpsfGs/vGR2DkqNCuCYpehytVgNOxqITMVn434GjD3FvkUyxxZSjwLFZF/kcAT3N2NfCSKnfm8fFcoDyOnh9sEmEncLeqVYwvMth950VgJ9AfRxdEwIbqwDVYZkFtbHHzBWBOMY328SlhiFATq6L8sip3RNqeXOHK2cA7WDXw/jgWPHC4iMjtQCdV7em9PwnTZJtE6qyjrMb5AJirqk97788EVgJbgSqqGWYkrAeaAycCN6rqRauekEMXjOaHNVv0xJycU7HAlaeAzjjaNtKmFBR+JJ6PT2HCRJAvwy7kbwJrgdY42quwOPAAVFFVRgBXYJX13hbxU1JLKIuwe0nrSBviUzTQOGo1qEZnqdUjQKzViYiOjibQ+EoSjjiNQWdEXSTCVkxAuylQR1X7qepL+rYuRuiFPbyDQMLoG/jgvSimTs0D2xSuvDqR/RW3wi2jg80JWDqRCXo7+i+Ovg80Ap7LZLgGuLIaV6bgyrW40uJwowB88h4R2eBFTgQjIvqG9J0jIku99lUicmUGY7QQkfki8ou33SQRKRPS315EVnhRG1+ISLgIgRdvncHf0o9VUQG5AECVrZB4LzS8QyRqlzfWCBGZGDL26V60RueQthdFJKvKyalSZ0UIV622cONKZVyZDrwBvA20LHAHnivtcGUq8AcWUfkG0BRHe3raxL4Dz6e48Bx2rx0ZWTPyAEc/wrRIewJv4EqpHI40EHgl+EZVv1fVdYczgIjUwrKapoeM85mqbsvG7onY4mY54NDF7SVw6wxinr0ixaYSSomLxPM18Xx8CgOuRGOi7vdhKVmvAX2Dq/OFFVWmi/A7ll72pQg9Vfkr0nb5FCi/Y6uQ7YCvImyLT2HHlWgkZiIVGiRR7oRUDq3Vv/7K1SP38utPidEj+vD5iLd0YrghFJ0rSBOgP9CFsz4LcOacitded+bp9etLoEuXnJmmCnfdBZ9+FFC9Z+pdVNqVBOwGZim6Jd0OtpJ/M658D0wGoryXmQlPAElYUaCLgbLAblz5DliA6eotzEgD0Cdf6auaujKoiAgmtdBZVVeKSAPgFxF5x5NwCOUAMMzbLgpwsRTKkSISwDSYrlHVuV7kxrPYdyAFRxPn3CUfntiQQf/u5X6SdfDKr4XG+6BsWS/qfS4W5RGkC/AdJhExL6TtuizOuT4W1R8kqC5ZNNJpXemKSXCUAs73HOkFdexSWEreDVhq4Srv9zgc3ZvZrj4+RRERzsWuWeeoUjy+445+gSvdsDT8mbjSB0f3Z3d3ETkVqAJ8kEtLrgJmZ9Npl5Y7gTnY3OTa2cu58dG+cG4rNufSpqLOJuAoXInJaZRlUcOPxPPxiSSuxODK1Zgg82RM++44HHUKuwMviCrzMVH3isB3IpwQYZN8ChKriLwIKDEh7D65YigkHSeNrkqX+3rMMcfwzcJlfDvjWibO5RpP8yosiu5Q9FlFeynak8/OOiOx1N7Z3Xok8vLL5pA7HHbuhCuuQJ96ClWVK/WR+/6n6NOKvhTWgReKoy7mxP4Ti9oD08Z7Gkfvw9GuWMRTG6x65lZM+P4j4F9c+RFXJuLKQFw51pNT8IkMClT2fq8I7CBM1T9VXaOqK73fE7FrYAOv+0QgQVWDgooTgJ4iUjrtOKs2sbnuEfwQHcUJg7rIMdZ64CqoOAaiojBH9UKglogEU7c7Aw96PxGRmphD7tsMz8qVGKAWqR12QSde5Kq4ZgdXSuPKM8DnwBKgeYE58FyphSsPYp/bVOxBsQtwAo6+5DvwfIojnibnOOB1VT6KtD15iqPfYFFw7YEPceVw9EcHAtNUNSHLLTPAWyy6GnIWOaeq76hqG1XtBOyNT6TXsG7QdjiXicjrIvJITm0r4mzG5l01I21IQeFH4vn4RAJb1b0KuAcL/50G9MDRtZE0K6eoskaEUzC9iW9E6KvK7Ejb5VNgLMYiSX18MsaVCkjUY5SuEeCv2fDXHlhoPoUDBxMoXcqmJJXkHyqURpCoh7HJbpaokiCHjljO8IfPG3zt7UyZkchTj8dw8slkqpN34AC89hrccQcJO3eyR5XLVfnwsM/N0ZW40hJ4FegO/IKj20P6E7DqfikV/lw5CovSC776YWkyO3FlISnRet+nqSjqk3umeQ9T3wN3q+rfqqpeau07IrIXi7joo6qHMhvIq3Y+CLufgznHkp1lqrpbRHZhTrR0aVef/cg3t51Do792MkVEzgbawbfDocytwFOgH4AsALqIyBtAQ1WdLSJjPMdgF+BbVc2sOmEtbOE+NHW2HrBTlcL73XKlNZZyVh+7FkzxFo7y85gCnIZF2vXB0glfBsbjaOF2ePr45A2jsEWMmyNsR/7g6CJc6QJ8BnyMK+fi6H+Z7SIi5YFLyH0ht07Yff6TXI4D8NyZzRk57yfm/bOHyqraQ0SmikiXkEWkksIm72cdipJERC7wnXg+PgWJK6Wxyf5dwFFYiszjOLohkmblBarsEKEbNtl9X4QbVRkbabt8CoRFwP24UgVH/420MUUdEfkUqIGlYu7GxIuXeX0bsMigYArIY6r6epgxOmORXqtDmk9RtdQRERmIRYUFgC+AIcEq0WnGmQeciunSbfPaGmF6nbNUtbeIzAVeUdUZXv9wrChP5aBjQUR+AYaqG5jc86E/e6/atLnSwXgCH85dsX/Rw9GL3/s2qepjs5IaRQmakETgwYsDa0HeOawPLja+NU/eBRe/yfdDXuLUU1vT9LhDXNQrllatoGlTiI2FXbtg1Sr4/nt4/XUS9uwhAExT5U5VdhzWMUNx9F9cOQe7xi/LanMc3QrM9F7gSixWyCjo1BuERVwprqwixan3LbAm350Z+YCIVMUiqoKUxbQFq6vqPyLyHZYuCTZHPR5oGYx6SzPWW9h3syZphMBFpD3wElAGm9z3V9VgulFHVd0oIjGYyPk6r8r5YOx72wc4E6s+PF1EWqiGOGRT2xALvA58qqrvHvYHAuw5wMGux3HfdZN49pQm3PPtWt4AkszFjAKPYCm1nTHn4Pfergux70lnrz8zglF3oQ83hbcyrWlH3oF9/78DeuLo+nw+ZhnAAYYBrbCov0HA6ziZOkh9fIoNIrTBnHfXq5J5FHpRxtEVuNIJux/NwZUeOPpPJnv0BVao6i+5PPJAYIoXwZ1jvAWnn2ffyfpZSyAxKTkLIAnypbp5Yecv7H5ZYnTx/Oq0Pj4FgStlgWsxLYMqmKPryeK4qutp+NwHPISJ4t5WJMvS+2QfV2piqYTdcHROpM0p6ohI5aBDQkQuAEaqakvv/Qagd1o9rzBjdMYqpbUK09cQ+AZL79yKOTI+UdV0TnfPiVceeDWkitrDWLTZZs+J9wBQT1UHef2fY6LLd6vqPC/dbz0hTr38QJDpWJqqTeUWtYNXBhL71RnEr26EJqVkqUZFcTAqilWHDvE2MFWVP/PLrlxhKcWnYM6qU7BUzVhMh3Ih5tBbACwqiql9aSv9pem7CBihqi0y2DdsNT9Pk+5XrHJoXeAx7Pt4i6pOTjPGRuyefC4wwtv+AuAR77u9CLhXNf11zXMCvoH9LQarN6EWkXbAdFVt5r2v4G1TKe33X0RGApU1jltOH8WOnzZTATj+370cApaD3gBMhaHXwLj77He2quqLIhI8v8uAq1T1m/CfMuDK5diiYelg4QURXKC8KudnuF8kcKURlp1wEnA/8BRO7h54szheA2AI9nBdASsq9jzwXVF0lPv45BQRorH7ygGgoyrFv0iLK00xR94/wFk4+ne4zURkAfBymHvIcEyPtBq26HoAaK2qf4vIg8Cfqvqit20lbK7cIm0xDBH5EFvEq+1ts0ZVO2dgSxVs3tZN46h7KIFfaw9j/vbdVMHmWheFW5Qt9rjyF/ZsPTrLbYsBvhPPxyc/Ma2FIcBt2OTwReB/OFrsiz+IcBmm8zcHuEyVPRE2ySc/cWUTMBZHH4u0KcUJEbkKuDnojMsjJ94dQGNVvc57fw7mqDg9zLbzsCqQ16jqCZ6DZDWWEtrJc3R0ACarahMvMukXLHqorqqOFJHLgGszmpDmFYJ0JXWUVwr7ysCmOjBxUG/+d+cK4I8iubhgUgxtSInWOxVLlUzEHFqh0XrrC7sTQkR+Bu5R1Zlh+j7CnMvPZjGGktqJF86J9jemdRcFxIRsux1z+D2EOf3Owj5HB4jBot5aqWqq9BwRicYi8HYCgzRkMu39j6zx2oOFLU5W1YvC2D4Sc27fPLirXHJiQ9xrz+BG6cdszIlXBZgLBytA6WOwh7vzVfUXETkaE1iv5Z1/xg9trtwLDMLRRinH5mtguSrDMvt8Cww3WSvqWWAD0B8n8+tcLo/VFUuZ7Yk5gl8EXsLJQgPTx6eYIsJNwP+AVqr8FGl7Cgxz5H+BOeDOKFLPaK40B37AtEKLhJZ6vuHKYmAejt4eaVMKAj+d1scnP3ClEpaScSuWGjQWEznPSSWiIokqr3qVa98DvvIq127Kaj+fIssicq8V4uMhItMwrSuAc9J0p9PzymCYxiKyFHPwTFbVcV57Ks0u7IG5HhnzB7DFS1GsgmkghqZNf4cJ79cFGnp2zcMif0Z65/FFJuPnCYp+IcgMgtF4oZTdD0eveUafvPM9nsxvS/IRRw+S4qQLOiPqkjpa71psfrcVV4LbLgCWHE4lvvwms0p/3nepE1bY4XDJTJMO4G2voqxgGnUVsdTya4H/sCjTWViq+bCgAy9NVEVfLO12JbDM/h35RlWHqmqSiFwOTPA06/7Mznm89IW+gSsnAo9e04VFL88FVVSEIVBqBTRZA2urBNO5VPVXz0H5dTaiLuqRXieoPnZ/jjyuVMcyFHoCzwDD8yWF1RZWr8DmZ8diEckO8C5O5tqHPj7FGRHqAg8DT5QoBx6AoxtwpSO2CDgfV87A0bTXy8JKsGCSn/Jv0hl1styqmOA78Xx88hJXqgA3ea8oYAzwbCqB8xKEKgtEvApQVrn2PNVsaEX5FEUWAddH2ojigqpeASAiVwJPkOLIC9XzehhLr0vr5ANYiunY/edVtZwtIttV9Y0cmjQJSzergmmNJeuOqOohEfkG0+ZqCMxT1d9EpI7nxOjs7VsQXOFsIHppFfr+UolgSYtlwBhFpxSQDQWHRdpt9F6mjWjaXm1Jida7DfsOxePKclKi9RZEWNIhs0p/VwEfZKRFl1O8FKbW4fo8x2EdzCn6ENAY0+QL7vtAyO9xQFwmx/kWsq7Urqoj0zQ9BFz20iBufOkLrWzb8JMIT8Oa64Fj0uyfuhKfzUFq4OjPacZNpX8nQrBabeQfVF05H5hIShRM3guyu3I0MBT7XsUCLtAPR/35iE+Jx5PBeQHYgkXRlzwc3eRp5H2GOfK64qROeS2kBDVk01VRL4FswlKSSwSBrDfx8fHJEleOxJVHsEnyTVg6SH0cHV5SHXhBVFmHRYj8AnwtUsj0d3zyikVAHVypEWlDihIicoWILPdeA9L2q+pUrCplVe/9Ru9nPHad6RBuXFXdpWrV1lR1E1Y1NbjtRuyhPkgDsn6Yn4lFKLUkfMrqXCzirgsWhQemrXMx5vD7Lovx8wR1IW4BJ/z8IVOBI4EjFG1TLB14GeHofhz9CkefxNELsCIpjYEB2P9pR8wBtRFXNuHKm7hyK66c7KXr5jshlf4mhekTz9ZXcjh8qu+3F60W1CLKjOew6PnOQC1V7QvUEZEume6Vlzi6B5tDXI4rnUN6HsJSd5/KcF9XBIl+G/gpzb6QPhIvXLXagsWVCrjyMhYN+DHQIk8deK4EcOVcXAkW+OkNPArUwdGBvgPPxyeZC4DzgetUS3BEl6XSd8b08ebjyjGZ71Ao8J14KWymBEXi+U48H5/c4MpRuPIklo52HfA40ABHR/lVOlNQ5V+gB+ZImCnCzd7Kn0/xYYn3s21ErShiqOo0VW3lvSaLSGURCab9ISK9gR3APyJSTkQqh+x+GRlUQRWRmp42V9CJcV7Itm8D54tIDc9hch3wWhZ2HgBuwSrlhhO7notV9KwfUr3tS0yY/hvVAktV6wocBzyv6A7Fvw7jqOLoOhyNw9GhONoG04frimkblsaKEX0L7MKVBbjyFK5c6BXWyA8yq/TXFcsUyWmRnCVATIjz7Vrg/cyKqgQr/anqD1gRjKDGXSQq/c0EZgPjvIrFqLIXuBHoJ0JGTsW+aEIXKrVIIhDzcnBfL+U6rRMv6OSMTHVaV04DVmApyRfj6BU4tuiQB2NXxpVbMK3DD7DIuwuARjj6BI7mvAK1j08xQ4RKWCGXaaoZaMqWJCzwoisW1fWlpzlXmAk68Uqu8zWFTUBtXEnl3xKRUiLygoisEZEfRGSG1141ZBF9uYj8KiIJInJE2oFFpLyIfCIi20VkZ3b7woxzv4j8KCILRSR0sXGKiJx2OCfrp9P6+OQEe7C5A3s42A2MAsZ7q+g+YVAlXoRrMMHv0UBTEW5SJVwqlU9Rw9F/cOU3TBcvncaVT7apBLwpImUwB8LfwHmqqiJyFOn1vK4I7igiE4FZqjoLuBC4XkQSsHv9m1ihGVR1nYiMwPSgwCLnJmRlmKq+k0n3IizV9sOQti+9cdNFW+ULrjTDonr+wNGlBXLMoordq+Z6r6Cjpykp2nrdsKg0wZXfSdHhWwCswMl15buBmAZaRn2T0zqLReQ6LELuAe99sJofwI8iskZVOx+uJp1X6W8ods5gUWGDRGQlVunv4xydYU5xVHHlBuBH7G/wuNczC7u2jhOhpSqHROQr4NiKZXj5v1diBtGwv36586zAiAedJn/s4Jd1/eTvUtEcf2Aq5UidRnw+dn0pWJ1ecyyOBO4CPgWuzjMReXvYHob9rRWrcPsCjpYsfS8fn8PjEcwRdFukDSk0OLoTV87CrrfzcKVbIZ5TBDXx/Eg8i8SLwbIwQu9tj2P3hKO9uXQNAFXdAbQKbuQVoeqkqv+EGTsekyX5h5Rsk+z0JSMiFTHN5uOAflhhpdtF5CxgX6YV5sON51en9fE5DFypi00+B2H/rE9i1cz2RdSuIoYIFwHTsYtdX1V2RdYinzzBlVeBSjgaTqPNxyf/cKUHFmFYFvgdRxtE1qBigCsVgfakaOudgjmZ92PFTVIq4Zagok0FhivDgXuBY3H0dwARGgI/AQ+q8pin43dG/9O5ftqNldpw/m/RlKoKPz4KK+8/dNajSY83OYp7xl9NDJYx0Ej6aS1sASAWOFeV2QV0PscDMzBdv9uAF3NdPdmVaMwheQOWBrcW0/aaimMViH18fMIjwsnYdXyAKlMjbU+hw5Wy2MJgO6AHji6MsEXpceVSLMspUNir0ec7pn26Gjgx6HQVkXLAX5hGdKbPmiLyM3CPqs7MZJsGwHJV06zNbl+ILSuA5phkSLCYzMfYYv1hPQv76bQ+PtnBlQa4MgH4DeiFTUAb4eizvgPv8FHlLazyYGvgG5FU+lwlmozCvr2+DSKyOiT0u28m47QQkXki8rP36uO1D0gTPr5dRMJGWOUg7Nsq1FpUj49P/uOK4MrNWPphGa81NnIGFSMc3YWjc3D0QRw9GzgCK/RwAxZRfT6W+rkVV9biynRcGYIrrTznik/u+B+WHvRcsEGV9dik/34RGqjqH52PpUGj6pxEm9HmwANodjuUbywHE7jnqo7Jc/0G8YnR7bFiONFYZMLgfD8L06a7BUtzPgS0wtHxuXrgNB3iezBn5NvAPqzAzzE4+pzvwPPxyRyvuM1LWDT2tAibUzix57uewNfAHK+CbWGjFHCwxDvwjM3ez9ohbY2xoJt7RWSxiHwlImek3VFETsWySfItk0hV92LV1xdivoTngAeBpw/XgQd+Oq2PT+a40gRbCe+PXRyGYSu8fthyLlHl+zSVa3uqsijSdhUCwoZ9h9BXVZdnNoBI8urhFar6tZd+eQSAqk7GS6v0tl1FmCqLOQz7XoyFsdcjUlpLPiUHS80bR/rKt0fgiviT2jzG0SQsCuwngkUnrBrqyaRE6j2BacjtxZXvSYnWW+hrkR0mjh7ElSHYw2NPHH3f63kKm5M8hyt9+pwUuHp7Qq0kGl2ZsjAfFcvGWg/F7Nh9Ke2bJLfGD3/j4Wewv1dwoeU8EWqosiVfzsGVetj9phP2sPIoTthqxNkd70TsXnQppgE1CRiHo2tzb6yPT4niVuBo4EJV/HtlRjh6AFf6YBWtP8aVXjiaU73W/KA0vh6e4eheXNlJ6uIW0ZgG7E+qereItAbmiMjxqro1ZLuBwDTVXNyfsoGqjsPmrYjIiZ6tH4vIWKA68JWqjsnOWL4Tz8cnHKatdB/gYJo4g4EZeaAD5BOCKr+LcBrwBvClCJerkpnuVrHGC7UeiIV9K4Cq5uThygEWqurX3hiJmLZa2uO1x24as8KMkQhEYfoS5YBDnnPwfqxIQjiWYjpL7fCdeD75iSvVMEf1SWF6S2HfWV+jNL+xAk4feS9wJQqL1gtq612C3UvBldWk1tb7yXMM+mSEo5/hymvAGFz5HEf3qXJQhKHAZx8sPXds+dKz6+yo3FNIreXN9I/X0r9nK5BVoAn8+lfTmGc/vvmUNEdQ4CpSdPfyBovGdoCxwFbgFBzN2SKdOesvwhZRT8G0Am/G5mT+/7iPz2EiQiNgBPCwKmsibU+hx9FDXtrqVOB9XLkIRwuL9rNF4vkE2UzqSLyN2HNJHICqLhOR9UAL7N6EiJTH5irtCspIEYnGFuQuwwIm/lbVoSIyV0Q+UNV1WY3hp9P6+ITiSnNP1+sn7J/5SqAZjk72HXj5gyr/AediN8e3RbizBFeuzU7Y9zQvzfYVEamWwTjHAQdF5AMvZXZaBtsOBKarpv9u5yjs2x6ofqYAb4Q+JZYvsAf6qAz6M/rf8MlPHE3E0ZU4OgFHr8TRo7GFgvOBd4AGWGGjH4B/ceVTXBmJK91xU1Ve9knhNqAqQWcooMrnTY5a827X5vMHS62zhdLV0+00Y8YMLr9tMkSVISlJcF5wSUpKN+2PBq7P03uuK0dg1a5neK/WOXLguVITV0ZiC0LTgS1Y1cgWOPqi78Dz8Tl8vP/18ViAwpMRNqfoYBHEV2DXtHdx5cIIWxTEd+KlZhMhkXiquh34HOgOICINgYbYs0qQvsAKVf2lAO28DXC9QI1ykBwNq977LPEj8Xx8AFxphUUY9cFWeR3gTRxNjKRZJQVVEkQYguksPYVVrh2iSklznGYV9t1RVTeKSAymizQV0wEKN86ZWNrUn8Cj2KTtouAGXtTfpd42Yclh2PcioO1hn7mPz+HxEZYKFI2lBqZ1QlTHHlJ8Io2jfwPve69gMYITSInWuwKLClFc+YnU0Xq/lvhoPUf/xJX7gf/hynQce9D47qFTd1w/abcs/n0e+w/N5atZz+vnT7dLSkzSqIU/7aRO2W3U2XgXxFSA+L38ubMmCUkx4Y5QDysKMTfXtrrSnRS5hh44+slh7i/Y9+IG7H71H1bF+MVgcQ8fH59ccSlWibuDKocibUyRwtFEXBmMpa++jitX4mg6OZoCxk+nTc1m7J4WynXAKyLyBBaVd62qbg7pH4jdZ1IhIg8Cf6rqi977ldgCcUUR2QTMVdX+WfWFGbcxds8NPr/NAN4VkYuBb1T1h+ycqF+d1qdk40o7zHnXE6sY8xDwbol/aIggIvTGwp4XABersjOiBhUgInIkFt4d66XAIiKLsGpJn6XZtibwq6pWCDPO7cAJqnqF9/544BNVrROyzVXYjSxtelU4u6KBOVjY97lAXVUdKSJzgYGpwr5dGYo5Dav4/0c++YpVT70EKwBQGYjH0r8Bzg/REPMp7LhSg9RVcNthEQb/YtHAQW2973F0d6TMjBjm+FyERWqfiaOKKycu+q3t2B83H9/u7JYfvXdUpW3/AXy0gnNjozjijOYEAFGFsXOGcOPUMcREJ5CQGEWSplrDTwLeUOWyXNhXFovqGQq8CVx/WBqIrpTBnAvDgDbAMuB54DUc3Z9ju3x8fJIR4QgsAmmmKtdG2p4iiy02PIlFU12Do69E0JaHgV442iJiNhQmXBkFXIKjx0balPzGj8TzKZm4cgrwANADE+PvBbzvC6FHHlVmitARi9pYIMK5XkW+Yo+qbheRYNj37NCwby9yLkY1uereZdiDTjjeAAaKSEUv9fUczEkdykCC4vRZkxz27dmRWdj3IqAi0BQr9e7jkz84ugtX5gGVsMid2tj3uhqQr+LEPnmMo1uAd71XUAetFSlOvcHYIlsSrvxA6mi934r9vdvRBFy5HjvnywAXR5ecJJwOfI9V1btQFT2nn9wN3KBx1ANqi/B7nSM2T7miw4zYPQfL1f1hY4vav245phGwFjgKqIAVI8kZthg6wxvrcs+27P09rPDF9cA12P/xW9j/8rfF/m/q41PwPIHN2+6OtCFFGltEuRPYD0zEldI4OjZC1vjptKlJq4lXbPEj8XxKFlYe/AHgDGx1/0HgY3+yWPgQoS5W6rsm0EuVbyNsUoEgIo0w59qRWITEg6r6ttf+NqYBJsA64CZV3eDtNxGYpaqzvPf9gbu8MTYDg1X1D6/vGMx5XUs186gWL+z7BeAcr1ruEdiDdlUs7Dv1aq4rpYDdwNU4OiOXH4ePT+a48ixwAdDYc3REA41w9NfIGuaT57hSm5QU3FOAE7HIy+2kOPS+BRbh6L5ImZmvuPISpi94DI7+B+BVef8W6K9KnIh0xTSA6mocpTBnXXsc/d7b/gbgAVXTjRShDJCkepgPgva/di82p/oSuArH7jFZ7CdAFyzqrhewDZgATMDRvw7LBh8fn2whQgdgPnCpKq9H2p5igyv3Ao8Ad+DoUxE4/higDY6eXuDHLoy4cg7wIVAJJwP97mKC78TzKf7YhLErljbbCfgKc9597jvvCjciVMAEss8ArvQnHkUEV5YAX+HozZE2xacY40oFzEH9MI76At0lDVdKY6mXoY69mlhl7eWkROt9C2woFvd7V6piEc4ujt4YbBZhAuYQawaSVB52tj2XiWUe4sg2MVzwWQ16LzxS30MkUJM/R/9NtdMTNPrEwzhuBeBYrGjScUB7rDJ0AFssGpOlfIIr5bFIvWFYBeNvsZTZt3HU1+by8cknRCiFXRM3AOeoUvSvhYUJV27GCjbdj6MPF/CxX8IWMdMWwSuZuNIS+64fh6M/Z7F1kcZPp/UpvpjzrjvmvDsVq2bYGUe/jKhdPtlGld0i9MKqpL4mQhPgUX8CUuhZhF+h1if/uRKbx0yMtCE+EcDRA1j03QLgae+eX48Uh94pmKB1NLAFV0JTcJd4+xctHN3hpXG9jCtTcHSp13MPnef2rX/TLcsffou6fVyk7Idcw4fwZUf4ZRgzp34g2y4PUOqvpFqV9lM6ETkwGXgU1TXpjmOf5YNY4aMWWKosWGS3klIV+kocnZapza40wbTyBmAi7K96+y3JzUfh4+OTbe7Ciqb5Drz8wNFnceUAMN7T9xxegItGfjptajZ5P+uQugJtscOPxPMpftjk8zzMedcO+Bh4CEcXRNQun1zhpQA9C0wHBvtVtQoxrgzEIiwq4qivTeaT97gSwCZoX+Lo4Eib41NIsYILbUkdrVcNK4KyjJQU3G+zlQpaGLDv/nwslfhUHE0U5Mq6vzN5wWlInc3pd1HSl2/22Al0RTW1vqorNbEo1wx2Iwn4FEfPzsTG7pi+3dnAH1il81e8asU+Pj4FgAjHACuB4ar8L9L2FGtcuQqTwxkD3FogjjxXXgNK4egF+X6sooD5APZhxZWmRNiafMWPxPMpPtiksTcwHGiNFUZI1oHxKdqo8rwI67D02gYi9FHln0jb5ROWRUAZLGUqbUENH5+8oBtwNHBRpA3xKcSYNt587xWc4DcixaHXGbgRCODKJv7P3nmHR1V0cfg9W0IJvUnvICLSu4JgAcUCYmUBpSjNgvVDBYVgx94VCzUrFhBBFASlCBY6inQREASp0kl2N+f7Y+4mm2Q3CZCwIdyXZx6yM3PnztY798w555daMGNFrgzz9GgSXhnEHpbzIdN9d0i5VRdQ3+UPb8CDyJY4jKrz60DbNOfYiVdGACMiHC7AI+lqvVIU43F3N1ATmAvcCEyzN3RsbM4sIgjwHmbD67XozuYcwKNjLY+8iUB+vHJ3pmkGTp/8GIENGwiKjuzAeOLlaWwjns3Zj1ecmBu5YUA9YArQF0+anWWbsx5VZohR4/sa+NlSrt0U7XnZpGMNZlHRFNuIZ5Mz3AfMxaO/R3siZwMi5Acuxii+1sWoSvuAvzD5Y35SZVe05hcJEekNfAzcoKpTrbrmGE+HfJgbmDGq4XMiWgI/D2PCP/8Feqvqn8CfIvIL0NAhbC5SgMCEQcy6thE1MGuJEkACXln2xix2PvkFzY8lcMwXYLCqzrLG7gOUVdVnc/AlCE93yuMiCT9Xu4H6Id8CBVbQiGU0YRUN2E8JBKU0e2jISpqzmLqpo4zaIFIrTFjt08AlwBWkNuQlYYTBGuGVOhivh+KYz9ftVt8JwA14dHV2Pm0bG5uTohcmF3hLVXxRnsu5gUcn4ZUE4FOMIe9OPBrIwTPmw3hU26SwHduIZ2OTizHKaLdiFtznA58BHvumLm+jyipLjW868IsIXVRZGO152YRgVEJXYMLZP4r2dGzyGF6pjQnRs8NHMkGEGsBgl4tefj+FS5TAd9FFSLFiOBMS0HXr8G/dSgyQ5HLxbSDAG6p8F+15A4hIVeAujMEolNHAk6o6zVLLXiciX6vqmjTH1wFeBBqp6k4R6QG8C1xjdXkfGB1I0rEictN1LzFEVZtZ3nq1sUJwP/iBHqueI7+AXPcS0/DK5JVbWF2sIDcMu4E2OfYCREKkCPApftyh1UeI5R0G8ZF7ABt81SmYz0/9C5MoU94s9ddt8fHeehcJPieNXL9zl/8d+vIRMebe/ntECmCUbMcAY4jnYqBOmBk4MKIWLa2/g2zDpDEZi0cPZPOztrGxOQlEKA28BLylih2RdCbx6Jd4pTPGqaQAXumJR3PKiGrnxEvPDqBCtCeR09hGPJuzD6+4MQpnj2PCYj4BuuZ1FRqbFFT5R4S2gBf4XoQ+qsRHe142qVgCUbjBtTkXuAejsjc9yvPItYgQAzzscDC8QgVk4EDc3btD5cqpDD8CxBw+DF9/jeO99+i4YAHXuFxMDQS4R5UIwZk5j4g4MIIl9wIvp2lWTBgoGI/CRAibWqEe8Juq7rQefwOMF5GSGM+8ppiwbIDJwFsiUlNVN2EUYNcDY1d3l4t6vsO93VrT4NBxhgMlnp3GiFmP4m5eg/14ZQmpc+vldM6324EioRXTuZa7Xe/zX0wZet7hJL4PNGrkwukM7ZUPnw9+/hk+/vBCHpj0Fm/p/Yz29+FifqpkdSoFtKQ8w0ikIjFMB+4EZqWZQ+j9gwLrgMZnpViIjU3e5BVMRMSwaE/knMSj3+KVazDrlM/wym14NCeMbfkB+3c3NdtJubbnWRyZd7GxySV4JQav9AM2AB8AC4E6eLSHbcA791DlKNAVeAuYKMIIK/+HTe5gCVAfr+SP9kRs8hBeKYLJufVWDoeonLWIUNTlYnZMDE89/TQxmzbhfuwxqFw5fP/ChaFbN5g/H9fMmVC+PNe6XPwuQtMzO/NUPAgsUg2rYNobeEpEtmHWA4+rarhQ4FVAYxGpbT3ugTFcVgEqATtVTZ42NSpv2zDqtmn534/reXvQGPpt2ctt0p23vljM281rUA8T1v0nJh/vV8BuvLIRr4zHKwPxSgMr5Ud2Uiv4hwLDeIrrmc4lXc9jw58u3n5HaNqUNAY8g9sNbdvC2PEO/ljrpGLbGrSVH3mHgak7/kMlXuEboAse/Q4TGhYOPyYk+xLbgGdjkzsQ4QrM7909qhyK9nzOWTz6A0bg53LgS0u5NruxPfHSY3vi2djkCowRoC9GIr0sMBZ4Ho9ujua0bKKPKgHgIRE2Yox5tUToq2rvSuUClmKuMfXBDuWwyTZ6YTYgP47yPHIlIhRwu5lTtCgNZ8/G0bDhyR3fsSP88QeuG2+kyA8/ME+ES1RZmRNzjYSI1MOIIbSN0OVR4DFV9YpIdWC+iCxNG06rqhtFZADG+84FzMDkDvJD6lDUjFDVH4EW1twKA9+ocpV05y5MHrh/gQYaTyFMiGkrq4wCCgFH8MpiUrz1fsGjpyPKlKyi+zjPMkqG8OEH0LfvydkKa9SAmXNcPP003P3kOwAM4t2UDr9zFfdwPkhDjOEzLUnAYeDK03w+NjY22YQIBTBiFlNVmRrl6dh4dCFeuQLjzfw1Xrkejx7NxjPYRrz0bAdK45V8OeT9mCsQPQPqxzY2p4RXCgL9gP8BJTGhNS/g0W1RnZdNrkSEjsDnwG9AF1X2RnlK5zZGLfoA8DgefTva07HJA5jP1HpgDh4dmFn3cxGHgzcKFmTQ0qU464TLZpZFTpyAK64gsHgxW30+6luez2cEERkIPEnKjUlZ4BAwHPMbv0NV84X0/xz4TlU/yGTcspgw7BIY49omoISq+kVEgJ3AJVY4baQx3sQYAzcCH6pqexGJA7ao6phUnY0HXj2s3HrW/zWt1nWkVsJdm6mKoW/hVtsAAQAASURBVEghYADGE7HuN1zNNXzDRx9Bnz4ZHpkpI0bAs0/5+SWpOY0J0QSrTSLDcWFCwo4Ct5DiAJAIXIpHU+UslDjpgglz9upw+ybDxuZMIsIzmDQEdVXZHu352Fh4pSEwG7OG6YRHs8dD0isbMXlIn8mW8fICXmmByaVbHY/+Fe3p5BR2OK1N7sMrhfDKw5gQjecwghXV8ejdtgHPJhKqzMLcKFXCCF6cH+UpnduYG9KlGHELG5vs4GqMEeTNaE8kNyJCO1Xuff/90zPgAeTPD598gjN/fipjVErPGKr6rqqWU9WqqloVsxjvp6rvYjYGjorIZQAiUgrjJRdWBVVEyln/O4EXgLdV9Ziq7gaWY0LOwHj+bc/EgNcSKKqqMzFGqqCBKgljFEyNRwN4dBUefQ+P3o5HawHnAZ2BqZicvq9bc9+PV2bhleF4pQNeKZrm5CWBRRihjrqHKURv1wS6dwuctgEP4IknoHUr6OH6lEDorcEGYviYK/FoF+B+IBjCrhghsWQDnsRJMedI5wTgS2CiU5yTJU5Kn/7sbGxssoII9TCOD0NtA14uw6MrMUrBNYA5eKVENo2cH9sTLy3Bz36eVqi1jXg2uQevFMErj2F2yuOA8UA1PHo/Ho1agm2bswdVVmNu6PZjDHntozylc52lENW8WjZ5i/swXnhrMu15DuJyMbRNG/zdu6fUTZo0iTZt2lCkSBFEBL/fn+oYEaFAgQIUKlQoufz+uxF4r1QJnn4al9sZuOd3ueheRC7FeKydFCLUEMme9aaqBjDeYC+KyCpgAfCaqv5sPZ8BIjIy5JCPRWQNJnfeQYwgVpD+QH8R2YAJ0e0d+TmIG2MEfMiax2/AZhFZDbQHJmbpCXh0Nx6dhkcfw6PtgKKY38hhwD5MuPgs4ABe+R2vjMYrvSnKm5jUBOZJ0YcjzqK8/mZKCG1m73VCQgKPP/44VapUITY2lipVqjB+/HjA5M97/yMXa/21GHzZ9XzZBY4Fszd9j9Oa+x7gHav2ETw6Ofn1iZMObod7XfH8xW/76ravmN1zNqVjS1/ncrjWSZx0ztJrY2Njc8pYv7HvAytI+Z7a5CbM2qUtUA74AW+2bHLY4bTp+RezuZan8+LZ4bQ20ccrxTA3Z/dj8tS8Cbx6BhTebPIoIhTEGIE7A3epMja6MzpH8cpNmIToRfHokWhPx+YsxisXAGuA6/GorUqbBhFqARumTYPrrkupnzVrFvv37+f48eP07dsXn8+Hy+UKOU6YPXs2V1xxRdhxjxyBimV9DDv6GA8bkdjNwABUZ2cyH8F4HQwFrgBeVeXB03uW5wheKUdKXr1WJNKU/uQjMaVLLfdfdLizCm+/k2JTzey9vv766zl+/DjvvvsuNWrUYM+ePRw4cIDzz09xWr/6Wj9zji/C/307ihyEIS+gjz9HTdTKQeyVfEA1YD0eVYmTQoKMUnRg1wu6Jr13zXuOkY+OZMmSJfj8PpwNnLqk8hJxiGNCkibdp8P1v5x86WxszlVEGIDJDd30TOcxtTlJvFIN+B6jKns5nmQF9VMZ6yBmU2V0Ns0ub+CV7cBrePSlaE8lp7A98Wyih1dK4pWngK0YJbo3gSp49HHbgGdzOqhyDOOt8RIwRoRnkj1BRIoj0g6RSxDJl/ZYERwilLe8RyqKkN3KgucSSzDXmcbRnojNWc89GAPSN9GeSC6lXb58BK6+OnVlx44d6datG9WrVz+lQQsVgqs6OZnrSDbyVQe+xoSWpsP6/eyC+e7PBdphQi/tsMqs4tGdeHQKHn0Ej17CMOqEGvC2U4FNvqrcdHNqp8iM3uvvv/+e2bNnEx8fT82aNRERypQpk8qAB3DrTS6SFrWCRDeHisLQZxFRbguZWwIeXWcZ8Fq7He7VhWIK3eXt6uWLm79w7Ni4g99//51ffvmFX3/5lQMLDoj3Gi/F8hfr5na410qchLcW29jYnDIilAOex2yWrIzydGwyw+Rpaws4gQV4JYJ2fCaIlGYrBVhLTqjenu3keYVa24hnc+bxShm88jwmbHYQJsdLVTw63FY4s8kuVElS5THgTuB/Zdn5RaLETAT+wdxc/gj8g8hTleTvKiIMy5ePX5xODmN+/DcBfzudHM2fn2UiPCuSnJTcJmtsA/Zg58WzOR2Mt/YdwFt4NJBJ73OV5o0akRTieJVlevToQcmSJWncuDEffJBeG6J5SweLHS1Cq2KAJ0IrRIgRoRcmbPVLoJHV5CIld5zNqbAjtZLuYpojojRpkvUhZs+eTbVq1XjhhRcoV64clSpVonfv3uzdm1r/qUULSEqIgd/qh1b/T5D0Of+gQ5ImVf5j0B+ubhd1Q0SoWLEiMTExJCYmcvToUfLly8cN9W5g3d3rXG6nuwxwbdZnbWNjk0Vexyhvj4juNGyyjEe3Y7zVEzCGvKzvtIlciMjXwE4ex83TvIbIfETa5NBsz0a2k8dz4p3Ccs/G5hQxISIPAwOBI5hk2e/g0cNRnZdNnkaVjyrK9h0zuObrGHypvOp2cV6Jh+TVYf9QYViRwvhvvhlX06ZQty7ExsLx47B+PfmWL6fx559z0Z49POZ2863fz92q5FnFo2zDo4pX7Lx4NqdLMFfZmAx7ncM4HJSvWTO1sScrzJkzh9atW+N0OpkzZw7du3fH7/czcGCK+G+VKrDXXxw/TlyWroHC1WXl3/q7OS8AFMMINZQMnVKaUxUV4cKTnZ8NLKXxzU1Ynvx4F2UpUdhHkSIxWR5j7969rF27lssuu4xNmzZx5MgRevToQc+ePfn222+T+1WpEjxJ2dDDizKDHnKt/Jhq0MtZGmgTkI37N1KpaCUASpYsSa1atahZsyYJCQkMHz6c/Pnzs2bnGo75jjmASSf59G1sbDJAhGuAm4FOZ1JF3CYb8OguvNIO+A5jyLscj67P8BiResBCTD7VUNoC3yNyTWbpLs4RtpPHHQhsI55NzuOVihi1pH6YnaJhwPt41L7Y2JwRtlOpEqQOi/2UW+jv/JCiZfIx4SUHN96IK1+64Fq45BLo2xdefx33N9/Aww9zxebNrBXhQVU7eXAWWAJ0z7SXjU04vOLEhNKOw2Pn00qHUV299zLHnLaql5/04ZdfnnJMp06dGDx4MBMmTEhlxAumTpYQh7okHLKXUquyeBoHcJ1VbE6S0fTjfQakqlM9OX2RoNjFqFGjKFiwILGxsYwcOZKLL76YY8eOUbBgQWtc6wBJ4zz5Fu+mG/R7cF3g4pPfP+GyapcB8N1337F161Y2b95MYmIibdu25dprr+WTdZ8Q44zZnhhI/PWkJm5jYxMREQphRCw+VeXbzPrb5EI8uhevXA58C8zHK1fg0dUAghQBXEqqKLVnSG/AC+LGpBFqkJNTPkvYAdwQ7UnkJLYRzybn8EoVjOJbH0xI3SPAh3j0eFTnZXMucnPogze4l8G8waB+ygujhELhAoXS4HLB9ddDx464n34ann6at0WoAAxTtcPFMmAJ8CReKWGHy9ucAp0wedjeDK0UkS2YMJTg9eQ5Vf3UaqsFjANKYRRJe6nqH2kHFpFWkGyccGN2t+9T1QQRqQqMxYSF/qWqDSNNUETeB1pjrnM3qOpBMSqu3wD3qOqfJ/2ss4KIAyMcc2O1pD9Zs7ENJtL11HE4HKQVPNu6FUq7DuD0JyXXHaTovCSc94R0cwIdMZ721TDKcEFvvCRgBvDYaU3uHKUgx8oqzBJrI6ocOzlwxMXBg1A00q1cGho3Dp+WVERSvd9btlh/lN2V0snPIfZxOSnftZSmJH+fT//4dPDb17ztjHGaz17x4sVxuVw4nU7y58/PwUMHmfjbRF9iIHGCDlcVkTeA64EqQCNVXWnNpSQm2XvKUzff/TKq6a8dIlIZeBuoDQSAd1X1TavtWszNrBP4HfMbcCjMGGMxofqNVXWFVVcY2AlsUtWGIjIG+FNVn7baewATgGqqusWqmwl8rqofhXmZbWxyijigCEYY0OZsxaMH8MqVmOvkvI475aXvytEFaAEgyHrg/VX1GVMX57UbqcVKGrKdivhxUZjDXMgfNGAVJThQH5H6GAX1c5ntQDm84syzaVhU1S52yd4STw2N50ONx6fxbNV4Bmg8+aI+L7ucuwXmq3Ey0Cl0UVB97jk9LcaMURVRBR0Y9eeXm0s8ZTUe1Xg6RH0udjn7SjyzNZ6ZaesxOVUbhjsG+AFz0w5wE7AkQr+CgNv624HJ5faA9bgEcAlwDbAy0vyAesAP1t9PYox2AHcB/8vR1wY6B3/XPqCv5o/xa2KipsLv9+vx48d11qxZCuiRI0f0+PHjGggEdNmyZbp06VJNSEhQn8+ns2bN0uLFi+vrr7+eaoxbbgroNY4ZGjyXwgmF5uFfDxXQTqA/Wd19oEmgE6L+WTqbC2wMvv6/FSuvoDpnTtbf6yNHjmjFihV18ODBevz4cd27d6926NBBr7322lRjfPyxqiNfgpLgVlL+RfwcM4IqjECnr5+uqqqBQED79u2rrVu31mbNmumQIUP0x60/KiNQRlDffEZoi8lVFPE7bPV7GJgeoU2AZcDNIXXnWf8XAv4F6liP3wJejDDOWGAp8GZI3Z2YzaeV1uPbgTkh7R8Bv4T8xrgwKWKqRf1zYpdzpoA2Ag2A9ov2XOySTSWe2HvXsSnktzfl39rz1Xnb+E2lXPsVVJ2OgFYue0KrVzihJYokJl+eL3X+qFfxzQjQc/u+O55LrXuPclGfSw6VqE/ALnmoxHO+xjNO4/FrPH9qPH01npioz8sudoHhCrqDclrC9Z/26RXQ7GDoUFWnUxNAL4j6c8zNJZ6/NZ7Hoz4Pu5xdJZ661iKsU9q2SAYAoAxwCHBZjwXYBdTM6FxAfmAmcH+a+naZGPHOBxZZRsAXMGkjylmGRFeOvj7wVXDlvpEaCqpTp2oqxowZoxhhiVRl7ty5Om3aNK1Tp47GxsZq0aJFtX79+vruu++mOv7QIdUiBRP1JR5U61zrFdpnZX6gF4POsKYY1ohilyy/18sUdEtltOpm1F37T+0/ICnL77Wq6tq1a/WKK67Q2NhYLVeunPbt21f37duXaowOV/vUeflctW4b96M8nNnc3CPdv3b7olvqyYQw6OtBGvNUzAZGIKHHZcGItxboEqHtCuCnCG03Q4rhH6gLbI/QdyzwOPAXmM1m6/s8MMSIVwk4CmY9C6wHOgNjrcetgC1R/4zY5ZwpoE7QJaALQR3Rno9dsul9VaqRRCCV8e5wrPLAyyqOgJavkqBxcapLlqgeP67JJCWp7tihOnmyapfr/OpwJCW53boJ9NJoP6eoFeNQpBpP06jPJcc+L7lgEnY5y0s8F2o8Xo0noPFs0Hhu1/icvXnBJAH9DViJURltFNL2hrU41EwWiO0w4SErQ0qBkPaLgHnWQnIt0DXCOO9jwjV+AIpadYLJb1Aj6u+PXVAorbD3LkZr1QoJeviwZguJiar166vP6dSvo/4cc3OJZ4rG82XU52GXs6vE867Gs1HjSXeTYv3G/2b99n4ElLbqmwDr0/RdDFwW7hxAVWAVxpPm0+CNekh7hkY8q8/T1vXjc4x33ySgSY6/PrAwxDtOr3bM1LatEzUpojnl5Hn1VVW305/4Bxf0V2h9KvMErQwqp3LsuV5Aa4EO+Y4r9ito5y+tG7s37tGYAj7dsyeLb2QWWLPG+ig9+NKrKNei5M/SHEdwj4wQjX0m1heuyAhJYgTD0j+3DL1pW2OM72HXksB9wFfWd20Fxou2utX2EPB+SN+CmHDbdGNZRrz7gdHArUAd4Ke033uMWn0boDLwM1AA2GC1PQ58nJOfA7vYJbSADgZNBK0b7bnYJRvfV2V4KgPehprqqvGXFiqWqKNHqway6H/w11+qV12lfmtp8NQ5ef2Np4BlxOsS9bnkUEmrHmZjk3W80gCvfI65iWoI9AAuwKPj8ag/h89+i6rWV5On6BXMQizIF5gwqK1ZGGe9qjYMKccBRKQgZoE4TFUvwIRM/Zj2YDEqQbVUNWjw62k13QnM1ZzKhWRzshz8hRaDJzju4OHHYiLmwIuLi6NGjRoULVqUUqVK0bFjR1auXBlxULcbnnwSVyBAJxFq5czU8wRLyOMqUTbZjFeKY8LY3sSjSWF6tFXV+kBjYC8mB95Jo6pbVLUBUBbIB3Q9hTGGWdePm4Ergb+BLSIyRkQmi8itpzK3iHhF8Eo7mlEmtPqxpKdZ8JObCROy5zRbt8ITTxDwBZxv1tU176P606mMo8o2VTtvaFYQQURoKMJIEX4HNgD/i6f74n/KwfSgNEjvMSQVPcCgewJoNryygQD06eejZJm/El57ZdsQRb9W9EQWD/cq2u+o7+igcEXR/hhD+8nQFxivGnEt6QIuA55S1UbALOCzkzxHKB9b5+xLeBXsuRjDXjtgvrVW3C0i1ay6uadxbhubLCNCJczG0QuqrIn2fGyylRSF9/W1cbX5mXrFK7BhjZu77gJHFq02VavCN9/gHD0aHA6GivBqzkw3F2Py7+/DpG7Im0TbimiXs7DE00TjmWpZuFdpPDeH85Q4UwXoRRhPCTIP1WgX7jir7U7Am4VzRy+Uyi6ZFyio8KLCng/oqwVifBl64a1bt07379+vqqoJCQn60ksvaZkyZdTv90c8xu9XLV1aE0GfiPrzza0lnivyem4Ku2RziedhjeewxlMks77Wb+5h6+9TCqe1+t5GmhxcGV0nwhxfBLPZUxB4yro2uYA/CPHyPo3XpJTG85DGs17jUX2OlSr4Q73x7ucVLVTAp6tX62lx7Jhqy5bqd7t1A2jBHHuf7QKowwo9fgl0s/VWbgd9E7Q9qEtV+bIzE1J5aXzbUUH1/fez/r5GYuhQVUdMorKigY6+04SJ5vzzjhgSXwg4jJXTLsKxNwELQh7HYgRU3Jx8OO391t+rMQb4wmm/94DHWteNAa6y6p4B+mNCbSucidfMLud2sXKOfgW6ETTdNYWMo5SuwuR//A2T07FB+HNQCGMU3wv8l9W2MOM8YV37fgGqhNSPBS6O9muZGwtKLxTleD511VujDZsm6sGDelp88okGlwfdo/38zngxNornoj6PHCq2J55NCl5x4ZUpeGUSXpEw7S3xygzMRaASRrq5ER79PIKnRI4iIuNF5G/MzVLPzPpHoIaILBeRJSIyKKS+LpAgIl+LyErrXKXTHqyq6zE7sMsxKmoTgVeBRzTyDrLNmUAkBrPYeBgo9SstaNJIM1SiPf/88ylevDhgNjicTie7d+9m//7IoqpOJ1x6KS6nk5bZOv+8xTLr/6ZRnYXN2YFXnMA9wBg8YRUlY0WkWEhVN0xIHaq6G/N73MNquxFzA78pzDg1RcRt/R2DuaadjqLb88BIVT2GMSoE85K5OVXZWON1dyleiQd2AMMxxoRGPKoNUW4hRDX0OR6jQeJSLmvrY9myCGNmwsGD0KkTgaVLOebzcaMqx05tJJtIiOAWoYMI72Le14WYPGufAS2Byqrcq8pcVfwAN0zlfkeAlHXFVbPgiZEMGKC8//6pzUMVnnwSnnkGkt68GxquYvp1dEMk32k+xdPhVmCVqq7LoM+3QEURqWA97gSsVVUfJrdlYxGpY7UNwoTdZsZg4GFVPRymbS7mfbkU814BzMeE7u5Q1R1ZGN/G5nS5AaPsPEA1vVo0EaKURKQ4EA/cocaD/RHrcTh8GKeEK06yLRkRKYK5BtcH3gHuteqvBI6p6qKMjj+H+QT4h2FPE7O1FpM/dVOkyOkNeNttcPfdqNPJ+yJ52CstPNvJw554thHPJpSnMIvIWzEXCYNXLsEr32HygJQErgWa4tGp0TDeBVHV21W1EjAMc1E5WZYDFVW1MebCOEBEbrHaXJiLVH+gEWaR/W6EeZzZUCqbrOLBhFUDsNrdiEbN3ZkeNGPGDIoVK0b+/Pl58MEHeeCBByhdOp39NhWNGyMuF41Oe8Z5FY8ewOQUskNqbbLCdUAVjKpkOM4D5orIbyLyO+bG+vaQ9v5AfxHZADwK9A42iMiHIhK8vl0GrBCRVRgj4L+Y6yAiUlBEtmPy3NUVke0i8lykCYvIxRhvu9lW1dvA3Zh0ExNU9WDWnz7glZJ45UFMPtZ5QG1rvPJ4dCAeXQmA6hRMXr9HgAX5SeDbwJU0+G8BrVsGiIuDhISsn/brr6FuXfyLFnHA7+dSVX4/qXnbRESEgiJ0EWE8sBuzydQSeAf3kfoMy9dBlUdV+VWV9GsrwZX0Lf+kqosbjg4fwYABcMNNAXachClpwwa49HI/Tz8bgNF3Qb8PTH1tYoAKGR996ojI+9Z3qyIwS0TSGtj7Eib8VkRGisgAAFU9CgwAZljf33sxnrRYRrg7ganW2BWxvtcZoarfq+qnEdp2AtuA3ap6xKr+CaiGMarb2OQoIhQF3gTGq/J9uD6q+l/Iw6KQnMagBrBPVf+w+v0IVBaRxmHGSFDVH4D/TqYtDQHAidnAigUSrTRFT2CuyTZhUDSBz2/yON4azLNPuahePXvGffFFpGRJ8gEPZM+IZw07yMFrWdSJtiugXXJJied6K9xNLYGKzVYI3Fyr7keNp4PGkyuTY2I8EUqmqdtCBuG0YcZ4DHjT+vthTD6WYNuFRAjHCOmTs6FUdsnCe6hO0OKgVQ9Q9NfQMLMGMWv08cc1y+zbt09feeUV/eyzzzLt+8Ybqm63Hoj288/VxYjffBv1edgl6sX6bV5PiqDQrSFtb5QtynEyFyZyYDwN1mC85+YSEjKLSUA/3TrPGuDeCOPknpCfeETjaaPxTNR4TljhxO9pPI2zdDx0Dv7e+XDqizykBZ3HtVLZBB0xQnXTJg0renHggOrYsaqtWqkPVJ1O/RS0bLQ/J3mhgBYD7Q46GfQYaJKlKPkQqBFiGEEV10jXfBkhfkbwJCNwpx+Hm4C9lGAb+1mbKqxWTWhtoXLbtEBBn/a9M6A//WSEl9Jy4oTqnDmqt3bzqyvGr676q5Vfmqca69J5qEKJaL92drGLXVIK6Fuge0FLZdyP8Rhngr+Bi6y6opj8YK2tx9db19iwgn1Wn6pECJnNqC2kzyDr+j4Ts/H2EtA52q9jbi+gQwsXTvIdOaLJDBkyROvVq6eFCxfWsmXL6m233abbtm3TUGbOnKnNmjXTIkWKaJkyZfSOO+5IpT7+3HOqLpceAS0U7ed4xko8T2q8ESDKi8X2xLMBr1THuFUHd2wcmN3F2VZde6AtHv0Oj0Y9ObWIFBOR8iGPu2AuTpFjHsOPU05EHNbfhTEehius5s+AZpZLOJhQjVWZDJn9oVTnGCLkF6GsCOeL0EKEjiLcIkI/ER4R4RkR3hJhogjTRfhRhN9F2CbCIcCP+Rz8tYHazUPHzq/HORwuSCYCJUqUYPDgwdx5552sWpXxW3/kCIiQ1STg5ypLgaZhQ/VtzkVu1RRBoWTvF09rli95ivwFYtidyfHXAxdj8vrUB74HngUQEcGoVY5X1fNVtS5hkt7nmpAfr5TAK/djjIkLMAqZ92G87gbg0eVZHGkZ5jcQFwEe5mXWBM7nll1v8NbTB6hZE0oW9dOqFb6rrybpssvwV6hAYvHi0KcPgcWLmQ5c5vdzqyq7cuCZnhOIcJ51zZqJ8bgbi8kl9SBQQZVLVHmZEfKXxElfpzjXVC1WtfXQNkOdbod7uNvhXixxUteMJSVExIvxCP2S/dSjOA0xKURmlvmXbddNg88/nMWOf8+nVL9HGP/zRlq3htjCAS5qkkDHTn46XO2nTv0EYgslccUVMHnzCvzv9MO/tCG0WJxq/td/xWJUT2o9ZWNjk3OI0BJjFHtIlb0Z9dUwUUpqPMFvAp4TkWVAB8zmVo6l/VHVd6zr+1UYb9iKwEwReVtEPheR+3Lq3GczMTFcc/PN4oqNTakTEcaOHcvevXtZu3YtIsJ1112X3L5nzx46d+7MLbfcwv79+1m9ejWbN2/mnnvuSe7Tsyf4/cQCLc7g04k2xhMvj953uKI9AZvMEcGJCe28xu2mKVA3KYn8IvidTrYmJLAYE27zhSpHT2pwr+QHpgL5MQnAQzkKdMWTyj07N1AU+FxECmASGe8BrlU1BkYReR+4BqM2OEtEDqtqTavtQ2Caqk7D5EoaKCJ+zHfhcyxVMlXdJiLPAj+JSBLmh6BfpAlFCKX6BBjCqYRSnYWI4MB4IxYFimXwf0Zt4YydiklUfxDjwv+f9fcBjEfPfyFtyX0qsOMeQkLs6vmWs3JJvQinCE9SUhI+n4+NGzfSoEGDiP1WrEADgWQDsE14lgClMGGSW6I7FZvcSvzdtAbWH08kfyZdFaMmm9/6DS+CyX8CcDmQoKqfJ3dW/TfMGBmF/Fx7Wk8kM8yi8mJM6O/NmJspL9ATj55aNjvV7Yh8QkiO2Cps4yUe4Vn/4/xKC146/PDH037pnIh5vj7gL2BlUhK/ZHZzaBMZEapi0nJ0xbyvJzDhsn2Br1U5kKp/nJRzOVwfBZICVw9uMZinL3uaAu4CeC7yOLpP6V5v1b+rVsrtMg7hGmt79RpV/SZkiInARMpKFeBPwAnHqXjza/z9ymuwuh6+5Y1ZvaoBq/eVBEcSXLQHHl0JzZbgr5UuRSQA50/F33MCPXglO18dGxubU0UENzAa420+PqvHqeo4EXlPREqq6j5VnWuNgZicl7sg59VtRcSF8cLrhtk026Oqd4vIXBH5WlU35/QczhZEcDmdNG6ZJsP2c8+lZPKIiYnhf//7H40aNeLAgQMUL16c7du3k5CQwF133YXT6aR06dLccsstvP3228nHVagAZcr5k3a3mfyIcNtfyjnxum/HRMcVg9TX4LyAbcTLxVjGu4FuN4/7fJSrVw9fq1a4L7wQCheGxETybdxI3WXLqL1wIbcD7zgcfKjKcNVM8xUEeQsTKhrOKzMfJsR0SLY8oWxCVbcCzTNo759B250hf79F5JxLqOoEYEIW57QIo1IbfPxnRnPMjYiQj5M3uoX2KUx6QzBAImkMbNbfW0hvfEvb5z/gsIbLD5TpE/onDnNzXACgBb/iXd6bo0chdIcrlNdff53bbruN8847jz179jB06FBiYmK4+OKLI54mEID58/EHAvx80nM8t1iOMbo3wzbi2cB4y2NuMfCoqu7BKyUxi/xHrJIR0zFe4rswSpY7MLnxwAgT7RGRSRgF8S3AQ2lvFlT1qIi8ggml3QXcAYwEXlZNL6iRLXilOGZzoZ81zxWYhPpePGET6mfOJ65xiLM9SYmN98DATdChlQlfSiYGX6ANCx9voz+Oyuqw1o3ey0BHjFFqlar2CNPPgblJuwpjjNwH3KWqm0SkEDAZaIJRDC6WwfmewOQ1O4zx1Nxq1Y8FPjhjnpFZQAQBLsAY7bpicuceBL7GiFvNirSpKnFyi8vh+qBsobIFJ94wkUurXkr+/Plpad253XXbXa69l+4lTuPulHtkr3+3v4NO0vCbRKpbMa9PX4AbJ8PPrYGLVpuSBRwBaLiSQM2pOD57BlcZpb7Cxqy/GjY2NjnIg5icqDeqJkdMpcMSeyqoqv9Yj7sQEqUkIuXU5HYEs1H1g4YRfMoBHgK8qrpLRIJRSlj/R1iNn5s0Y3H5JYHm+WrXzrjfd999R5UqVZKF+Bo2bMh1113Hu+++y0MPPcS+ffuYNGkSXbt2TXXc+ReoY3fRgx2BTYJ8BAxU8rQIYzBLbAVsI57NmUKEOm433qQkGg4YgAwcCBdcQKSs/K49e2DCBAo+9RSDjh7F00J+fexXWlYG2ll9FgAforoFAK84MAvNvhlMwwU8iFdexqOZhTbZRBHLC64QWTe6hTPQRVKjC/WCC/1/G+GNbqn+V41SmKnqZkQGYqlzdeYr7vW/zfjxTgYODH/I7NmzefbZZzly5AhFihShWbNmzJkzh3LlykU8zbRpsHs3bsKE69mE4NGjeGUNxoj3eWbdbfI0bS1vZzfwNDAOk7KgL8Y7bDyZG/GaAvUwi7NDmHQG72GMgC6MaEVLVf3DSob/GWHUkVX1HUwoLSLShJCQH6AM8KOqvnFaz9Z43bXGGO5uwXgAfoIxGi47rTQVXrkSuB1HviTwjSqDzgXOi4O7nzSK6cUxojLjOXkFzecxN1q1VVVFpGyEfqGhzT4RGYYJbb6FFDXD/ZiIgbCEhDbXBbpjQpsfzk1qhpbhrinGaHcDxkC8GxPN8BgwV5XEDMeIkw7Ap93qddO3O70thfMVBqBs2bLMmzcvVd9ra1/LjZ/dWGxrqa3fSJxU0OERhcQG7qNETGEO97zrAx/vDYBNtbL4pJRNt35KB293tiZN4I3Cl9Lno3lMEJEtqqfoEWpjY5MtiFAdo0j+tGqmhvUMo5SAkSLSBnN9/JmQ+z8RGQn8o6rvWY9/A0oDRSwRmrmq2jOztvTzlxqY+9BOVtVE4EsRuRlYpKq2cFIQkSFfUOnRKmzDlYF1Zs6cOcTFxTF58uSQQ4VevXpx7733MmzYMAKBAFdeeSVDhw5NdazbBQScYBwu7sTcpz2c/U8m1xCMzqgIZG1X6yxCNPopzmzSIEIrl4tZF11EgXHjcF10UdaP3bcPHnhAdcIEkde5j/t4M7T5BC56Mo4YTK6EOpjd9QMYYYhEzC66H7Pw9gNbgR7RVKE9FxAhhpM3uoX+X5TwXnA+MjCwZdJ2EDikSuB0n1/UEOlJSPjBnXzIDxV78vu6mIjeeCeDzwfNm+NfvZrZPl/yIsUmEl4ZA1TBo5dFeyo2uQMRKQds0HiKY8ICp+DRB0RkC9BF1VJhTX/cW5ibjmAevAuB71S1gojcBNynqm2ttliMd1c+VfVFGM+FyQPbDZOOoZKqjhCRuUDfUwr58UoxTGhrP4zBcSXwPsbr7vQ9/bySH3GvpfxVlaja3cmi27j0KY4sWMcYVT2tfEPWa7YTo+Ce4VxFpDMQB7QBjmCMdi5VfTCkT1VgZSRPPOt8qzCvU2+gEsbAOxNzI5oznpGZIIILo3LeFehizWsrMMUqP5/MNVLipJBTnHvfvPrNfAObpewmFSpUiCZNmlC8eHFeeeUVqluyhE1GN/Gt2LliUtLwpNsjjWnN89Wy7LxtI7WeWNv0aJkuU+n0T3laYiI6wLwv/2IS0jtJdB9ldL9Ypl93tc7qOBPgyMeFSkPCxjYj/cdWbkWB5nryhl8bG5tswNo0+Bbzm9Mosw0Cm7MYkeHAiKMUpDCH+fwLBzfemL7b119/TY8ePRgzZgw33HBDcv38+fO58sormTRpEtdffz2HDx/mkUce4Y8//uCnn35CrJRwdeonsP6q12FUcoDdUaCSonnOSw0IbqAeBgbj0XSK52c7tideLkOE2k4nc668knyTJ+MsUODkji9ZEsaNE6lbFwY/9gYl2E8P4oPN+VE+Yz9KCSYBN+HRHM+HkNexLrRBL7hTDUWNlP/pCOENbNvD1IUz0J3IyP3+HOBI6IMRDGfKzpt5YLCL0R+evq7P00/Db7+RlJSUqdeQjWEJ0BWvOOyNgXMTy1jjVk3OtdoNE1J6PeZm5e0Ih6ZlM9BJRF5S1URMDrvgTuu3wCgRqWAZIToBayMZ8CyyJ+THLBpbYnLd3WId/wnG62FJdohDiciPwAU3Nef3zx9wVKLpW04KVmL2p8+rL7AqVkQbisizqvr4aZymBsZ77nERuQKz0TdCVb8P0zej0OYsEZXQ5ghYqSWuwHjbdcbk8lyD8RidAqw81euqDtcjzpHOryb+NrHrwGYDk9fgW7ZsoVSpUsyaNYvevXszf/58/tz/J8t3LndjciVmNN8SwF27KDe8kB75sBmwA56Va+VWkpjEKLpSj5mKHhekMFCYTTX3cO9b3wEjRJgFXAtHRpYp8m++xU/VKnrpU4eP7/qPb0SklSXWZWNjc2a5DZPKoI1twMvDiBTHijyI5Rh1YzaxeHHtdEa8+Ph4Bg0axGeffUbHjh1TtS1dupQLLrggOXy2ePHi3HfffTRo0IDdu3dz3nnnceQIbPjDDcOWhh4aCzTGCINlz9OJk1iMZ/oUHZ5lUa6cwaOKV3ZgPPHyHLYRLxchQozbzWd16hDz5Zc480UKbsx8HB59FHbtVAa+PZpWgZ+pgeVEEECI4z326KDsm/nZjZU09mSNbmm94MJZhPyEN6z9g7khyMw77pBqzilH5XVEpFAJuGgDaEnLS7EiO/gg0JubPppM7Trw8Gk4kU+cCE89harykCp/ZNe88zhLMAIEtYF1UZ6LTXQ4D5gsIk7M93IzJkfcOGCGdOcRuktWhInexuQkWyUiPozhZwAkG4QGADOsvHsHMTdEYcmWkB/jddcD43V3EfAbJkwlHk+2Cxt5GlXFU7cCz1L/KQexldm3bx8vf1dY5gx1JhV0+6fj0RdP8xwujAjNGlV9VEQaAbNF5MIwIiEZhTZnmTMS2hwBEQoDV2MMd9dgcrwuweQE/FKV9dl1riRN8v60/adbth/aTsUi5t6iVKlSAHTs2JH+/U1a30//+BS3w/2fL8kX8QZLhPyYPHyCSX6fwgzyAYl8y9RgSJ2ih4HD1AUxhuulmJyRlQHdfeg8EYox+7HD+Vs+Sf2qpZl/cwtp8fmv9qaLjc2ZwjLMvwaMVmVhlKdjk7NcSchG4cWJc5kxtSrPPx9DUFP1rbfe4oknnuDrr7+mTZs26Qa4+OKLGTp0KNOmTePaa6/l6NGjvP3221SsWJEyZcoAMGsWaJIDWqVJ330NI+UbaQ4sBJao6imnQJI4aeV2uL0BDVRV1UclTkYCz+nwDDdQc5rtmLVJnsMOp81FiDA4JoZXVq3CUafO6Y934gQ0b+SjyobZTE+6JrTpC1RvDjnvbZhd5w+AxWeT55blBRfLqauhFsUo14TjKFkPOw3X59jZ9FrmFax8IAMxO0H5X4QfHoLrJCTc+FXu50Fe5b57leeeFwpG+gSEITERnnsORowAYBTwqP0+ZxGv5MN46vTFo1kSjbE5B/BKQ4w3Xgc8yQrfuR/jddcC43V3q1U7CRMyuzg7vO4infflbxx/HAoUPz8ufqcDh5vx48czZ84c9v71Myf2b0rK7+bmb1bqlFM9hYiUwoRfxqhqwKpbAjymqnPS9I0Y2hzSpyoZhNOmGS/7Q5vDnoeSwHWYUNkOGJXiBRhvu6mq/J0d50l33jjJ53K49j1/+fOxD7V+iCNHjlCgQAGcTie//fYbffr0MZ4Vb13gW7dv3Uc6XMNmcRWhMsYLsj5wQJUSqdvlUWCAqlZNc5wDExo8EiNslooNL9fy1yq7yTVvDVz5PPRtx5/v9eFSPCa0VuKkHNBEh+vXp/9q2NjYpEWEDzC/TRekVba2yWPESk+OpaT9WU4jmrCc776DK680dSKCy+UiXxrvnm+//TbZqPfJJ5/wwgsv8Ndff+F2u2nWrBkvvPAC9evXB6DlJT6WFJ9N0vQQe8AB9lKaHwjQBiiHSau1FGPQWwj8pKr7MnsKEif5gBGCDLm82uVJH3X+yDl5zWSGzBmSBPzmS/J11+FRivzzynigFB7NcymPbE+8XIIITrebh++8M7IB79FHH2XGjBls3bqV2NhY2rVrx6hRo6hUqVLY/vnzQ9yzbrp27cR6anM+G4JNab3GHsG40/YF1onwDjDxTFw4rHwzpxKCGvq/k/QkEd6wtgtYT+Z54Q6pEs2dA5uTRERiMIlah2E+G28Box5W3YvJ2fQERiGRB3jteCIxy55457nGU74U98sv4+7SBWJiIo8fCMDMmfDQQ/g3biQJeESVHPEKybN4NAGv/Ibx3LGNeDZB7gXWAnMy65gr8EpRjPhCf4wB5XfMdXRiDnjdhePWkrFJFxwucj04jN7Vjh07WLNmDQvnL2GX96JAm0e3jxeRL/UUd2pVda+IfI8J5/pGRKoB1TDvU1oyCm0+FXJMzVCEChgDVldMyG8AYzC8G5imyp7TGT8r6HBNcMQ5Ppvw24QeD7V+yL1mzRr69+9P4cJG5OKDDz5g9e7VrNu3zo0JxQ73PK4AvsB4DAJhFdzLYfIapmUGRkk4rHddoj8mCaBdXXivD9z5ATVa12LT7Ug/x0YSXQ7XaH+Sv4hrpOuzgAYG6nDdfzLP38bGJjIitMGsZbvZBryzEK8UAeZiHAe2YaKvdmF+i4PlX0wkgYeXuJHBELzjbMwKLnPO5+HBrVm8wk2+fJCVy3i3bt3o1q1b2LbPPoNfF7lh3guh1UkUp5/69UsrYqEaJv/rJRgD8v8ARGQNKUa9H4GtoesKiZOG8oH8pAe0QKfunZj+5HSniPBAqwcotrOY477H72vgS/CtlonyAz3okIFAU06xHWhwhs95RrCNeLmHdj4fFe/LIBW1iDB27Fguuugijh07xqBBg7juuutYuXJlxGOuvx6qlE9k7D+9eI7k9DidEGlISsLw0EXr+RjV2pdE+AwTnrEwnKeR5QVXkNMTZIi0ID9GeI+3DWTNO+6o7R11luOVS3HEdCcp8X94kvNnpcPy2rgdeBJz0/I+8Jyqpty8qH4FfIVIZUw457Yh+sKhR4XyO3fy2q23clPx4gRuuQVXkyZQty7Exhpv1nXrYPly+PxzfLt24Xa7+SEpibtV2ZSTTz8PswSjUGtjA14phTGIPZBjnmvZgfG6a4Yx3N2GWaB/aj3+9YzN3StFEfebWqal4qyc7F1cokQJ2rVrR/7YYlS9boy7wgtXur330IPTM5YPAD4SkRcwBp/+QaGDrIY2W32jqmYoQi1MmGxXjOfkUeAbTLjvN6qccdEMRT9Z9e+q3oNmDCLGGcOlz6WkEBz37zhW/bYKt8O925fkSxVKZ627hmDUf5WUTdlwGZTLY24g0xL0rAibGDbRH5P8uerbDtbugLu85J9QVsYrSu+GvbVjjY4MnDGw638n/msvcdJLh+s3WXzqNjY2EbDycY7GCPp8GuXp2JwaxYBGmDVCI4x5TjEOJ2mdTpZSlOHk43x89A9Wvh/oS8MNvzPkfy5eez2cZmHW2bIF+vb3Qf+P4dIFweolwJOKzgSwjHKbrTIekr3xW5Ni2OuN8VbfISILERYykDpSRgY0GtxIby1wK8f2HksW0di3bx+fjv6Uf5b9I68tfY24+XGXOcSxQOKkuw7Xraf1pE6OPJsTzw6nzSWIMLRsWZ7cuZMMfIFSs3LlSho1asT+/fspXrx4xH69eylb4hcy1982tPozQbtjDBofY6zuaRd0SVbdYYz1PT/pjXDhDMFJGGPaySqhBv8/aCdxPcfxSkHEvR71VQR5G0/SPWm7iIgDE8IWB1THfI6fVtVtJ3s6EaoAvWNiuDYQoF4gQLLPusOBz+1mbUICM4GPszM30jmJV/pgbvqL4Ilqngyb3IBXHsMYJSri0SOZdT/jmF317phcdw2BPzAbBRMy2lzIwfm8Bgweu+latvybyIh7TILrDVv2MDDuC+Z8PICDh0/QtMsI1r/EP07x18Sjx8/4PLMBEXkDI3hSBWgUVCoWkZKkTsRdEHMNKKOq+y1DV32gK0y5HUZWNb7Uhw8aB4jEbaqBRtZYLTA3zQUwO/Y9wymyisgIYDjQVVW/tOqCOR2Lq2oxMQqDlVT1Tqv9Eszaqb2qzrPq3gP2MII4pzhnuRyuwmnPFSQhkPC5Dk/JbShCUcwN1nWEV6N3qqZ414nIQkwIc6rrp/X69MT8DufD3Jgl80tcC3+LmouT13bTDkO37S4KFSrOuBvHc1XNqwDYf3w/d8+4O2nSH5Mcgnyk6AM6XA9Hej42NjYZI8KTwKPAhar8Fe352JwiXpmJSVMVLlIMjFBUVzzGiIa5n3keE5WQH2Ai3enJRIYNg5EjSc6PdzJs2gTtO/jYVWgj/p+bQewxgBGKxp3sWFaqomakGPUudt3jKtKmaRtm95zNhPET2LJlCyOsXEPJKT727iUhIYFLe13K8M3DAS7W4frTyT+bU8QrnYGpQMGzdS0UCdsTL5dQRA5f3LJFIXf4dVl4vvvuO6pUqZKhAQ+gWXNhysRGqeqOUvAWjHJeRgSNegUxuwibyFo+uCO2F5zNaTIUh6scFw6H34YNwivj8OgSSL5x6kJKPp94oJOqnrJnnCpbgREYpT4nJglqfiAxKYntJ07YAiPZyBLMa1sXWBXludhEE6+4gUHAh7nKgGe87ppiDHfdMAvxTzEhlz9H1WPQFbvN8/rxE8v/muE+4VPmzZ0dmPdkzH+1gQ7V/QVbd3kkX6IfGdXNecTpivmTgD8hanM9fb7A5B1N5Y1m5ehpGHwsIg8Dl4LWEaErxuOuGvAPdP0Suk4BFqjiF5GvMaFOwY2geOAuVZ1rjfMacDPhWQb0Ab60Hl8O7AWCi7C5mM2kIO2BXzGehfNC6gbocPVbx58Mv2JEgSItFAtBKq/Cchil5lRY67PxInxvzbdDaHvQE+9QAB7YCx8fAk/Dm/WtTm/L7m27adeunTWO8tNPPzk+nv8xDyx44I5jvmNXSZz00OE6Dxsbm5NChPOBocAw24B31vMJJhVFWgKY3+g2eDRFEE81CfgfIs9h8sAW6UH8utsZX/2ZZxyjV6wg6d13cUbInpUOVRg/Hu570MexKmvxz7wiaMAD47xz0qjqcUzO2AUAIuL0J/lfXvbPsnsDGkjn1Z2c4mPhQv79918aXdIIdz/3P74k389p++YwwU25CpC3IqhsI160EWkGjGru+qFdyVLts3zYnDlziIuLY/LkyZn2LVkSDgUKoaSs/Nz4EjChJP9hvJluh1RegEGjxevAs6rYOU9szgxeuQAcQ/Lf7nO2bDUb3V+E6+sfmdJkrVRt/zQdgKcwue2+AG5Vzd5kqaoEMHksbHKGtZhdyGbYRrxznS6YhdXbUZ6HwSuFSfG6a4RREX8c43WXO3IT3XLkFe8tvBKuachtxqUxr6CqwZuFsO2Wsnw7KDcUXlNgEWaR/jnG0LY4jWdaeYzhrI9V1QTwq+pc6/H7wNMikj+CQt9CoIOIlFXVXdY4HwPPWe2/AOVFpKKqbjdzYyQpuYXKYVRgT/UmZiMm5YmPNN5zFkWwjHjWZlekcFoAVNkhwlWYMKk3sUS+fAG3E/BPPUrg40Pk+/C6D+nbuK8AFD+/OPPmzQNg/vz5vPjii/Ru3Zur61/taj+uffkN+za8iVFntrGxySKWd+x7mPXRa9Gdjc0pYXLldsWsIdpDqttuMAa8w8ClqQx4oagewKSQACAJfhDhz+++4+Patak0aBDOvn1Nyp9wHD8OX34Jr7/tY/HPThg0Gp4fAoWOhnbLFmEoVQ1InLx+KPHQ4Dmb06czTk7xkT8/lStX5ojjiPp2+6bom2d8E3S79X9F8pgRL2w+DJszhAnjmA+0cyclkJDF/fKvv/6am266iYkTJ3LVVVdl2j8hAdziS/VLEoPvC1W+UGUOJgF1sDlovPscqKXKw7YBz+aM4RVBXKMpdqGWLVeBefPmMX/BT/JgJ6nww2o2YvIY7QQaq+rN2W3AszkDeNQPLMfOi2cD9wHT8Gh0vQ680gSvjMb8tryGuSZeAtTDo2/kGgOeDSIUEKGzCOOAf+Gn7yCxEFz/BiaEtrYqQ1T5JdSAZ9EL+EZVd1uPKwPJuXlU9TDGCFY+gylMBO4QkWKY37BZIccnAj8B7UUkH1BNVb8BKopIfsyN3c8RDISZosp1QD2MsTH43EJviEI9LIpiPJ7DCVuEjqmqfIzJabgc4KeNrbcDI7f7qeEUhy9gxInTMW7cOG6//XYAShYoyc7DOwNJmuQ96SdmY2PTCyO0088W1TuL8Ep+vNIVr3yBydXwHsZQdytmcyd4Tx3A5GJth+fk8rqqMtfno+6JEzzx5pvsvPBCqFSJxBtuQB9+GB57DAYMgBYt8BUvoUk9bg+wtNRM+LkVvHVPagOecphsFJXT4fqX2+Fe6v3dm84w1759e1asWIGq8t0f3+E77BOKpPJUP1PsxrwPFaJw7pxFrSu4XaJQ4Ac1Xq86mFe10YUnNDMmTpyoRYoU0ZkzZ2baN8gjj6heGLNeg+dSOKxwYXAeoD1TmnQeaJOovzZ2OTdLPLdrvKju+VVjY2O1bdu22rlzZ/1z+gA9Ps4ZuKUl10Z9jnbJjvf5VY1nedTnYZdofgYaazyq8VyWk+cB3gC2YIwdDUPOX7haaf6oXZZjDSqjTatzdOIgRmk8JcKM4QBewXjm/YYJm6wZ0n4tsA7jKTUFKBJhLmOteTQKqSsMHMHkLgMYAwwLae9hHVM1pG4m0Dfq7+EZKuDYCu8/BvoF6FFrrbII9GEo9RkwKgufA8HswncKqbsRmJWm326gepjjR2AMvBWsz8HdwDNAVeC/kH5DgY+AtsAkq24ixoA3Gnji9F8PbWm9Bi+B/h6yfmuR3KcKTa3PTf2TGFdAZ4D+AepSVRxxji/afnxJQNNw9OhRrVSpkh4/flxVVWdsmKGMQBlBtWh/Xuxil7OpgJYG3Qf6RrTnYpcslHicGs/lGs9HGs9/Gk+SxvODxnOnxlM8pF8lqy1J4zmk8SnX/dP4rDhBLwd90uHQL/Pl01X58ukfMTH6M+g7oP1YWf8FNP2/Aj70tSV8qfFGDyG7CiO4z9nQmXTBBRdotWrV9PLLL9cgr7zyil5yySV6Xu3z1Hmr8x9GJGsx1MJseG3ApNi5MOL40NdaW/0JfAC4s9IWWlrV4oRD8GPy5gaPrY7ZDJtqPZ4L9AhpHwacAPKH1K0DLo/6ZzA4n2hP4JwtcF6IUU293KZOR0APHdKIvPnmm1qsWDFdsGBB5E5huLhFovbhw+C5Vik0D50LaFnQ90GvBs3WL7dd7JLlEk8J9br26+IBSaqqe/bsUVXVmTNnats2l6hOqeBTr/OzqM/TLtnxXnfXeHwan3JxtMs5VuIZo/Gszu4FZdpiGVMqWoa8hpbx8H2N5/D+0ZzQeCZoPJc4hBuAVRHG6ILJR+a2Hg8DPrP+LoTZga9jPX4LeDHCOGOBpcCbIXV3WovYldbj24E5Ie0fYcI0e1mPXZbRL08bS0DLgN4F+i1UUVjuA/0OdCBo+ZDX/nDwtc/kc9AOE1bjDKlrBqwLeVwYSAhdtIe0jQBes/7+FmPsqxnGiNcaE640HBhg1d2FCavdCFycDa/Nl6CLLaObgLYAvT24fmME17qGu/5z9nIq19HgJMeuBeoDHWCN1VVGiO44tENDmThxovbv3z/5cY8pPZLcI91Lov25sYtdzrYCOh50O2jYzR+75IISj2g8TTSelzWeHdYG5HKN5yGNp2IGx022DHhn1DkGpS1KPMpGlLUor362gAeteT+arecaQTkZIUmf//G5hsMX8GmJF0r4GMHw5GPgh5A1zU1A2GsHybltKYvZiJsG3J1ZW9rStBoHq5biX+ChkLGfttZeU63HTwIfhrR/b6292lmPy6U16kW72OG0UWKtCXVI5kpm48bH+PGRj7n33ns5cuQIV199NYUKFUouP/74Y+TzrIVFv7opzOGXgaaoNkB1cWgfVXap0l+Vb1VtQQqbaCHP4S5SmAbPCUCpUqUA6NixI1u3/Q3N33OhgZvxSocMh7E5G1iCMUY0iPZEbM4QIrGI9ELkdQrJm6ylO/BGTotEqOoCjee/wvkptGg4EzHiBG2BJ4vHUgGP9sSjC5OUohDx+qcYFc/8Vq6xIqTkWbkaWKGq66zH72DEMCIxBbjWCrcEk48sNMRkLtBKRII5ai/BhOW0sx43A/aqRjkEOQcQoYoI94uwANiF8aJMgH174d7LVemgyruqyXnebsUYXtdFHDSFvsBY1VSxocsAt4gEExL3B6Zr5uGuT2C8JcPl11kClMHkRZpn1c0HbsPcBCwOc0yWEeECjFH5hZC1/K+qjGeEFHaOdH4MTO9ct3ORyvUr42rqWiRxcrvEZU3bUJWNGEP0SEsN91uHOI599sdnqfqNGzeOO+64A4DjvuNMXjM5yZfkm5huQBsbm4iIcAVGKfoe1VSiNDa5Aa/UxCtPYnIVLsX89n4M1MWjjfHoy3h0e8TjPXojUBqPLjsT0w2i6AJFuytaS9ELFH3g5jb6CiaFyXN45c5sO9dw3elyuBbc8vktuJ9ya9qS/+n8uv/4fhdG7AMRKYMRDgteLyYDlUSkZpjhbwKmqeouNZa090hZX2XUlopEPwndWrMTuMOagwOzfghN/zAXa51lrb+qYbz72lnt7YBfsrA+OGPYwhZZxSuVEdd9qP89PKemgikiRTEL/i4O6LQR48sJUIp99Ewaz6uj7qBv3xjy509/vJ7Cvc4LL6BuN3+/7rt/yGt6f/jEJjY20cYrLYF+XPAIJP7Hkf07KFAgP06nk99Wr6VUiSJQtB6UbpPEvl9G45U6eHLPD6nNSRNUum6G8XCyycuIXI1ZLBUDTGaYpwEHfekuU0nJUZZ1vFII+BrYikfviNCnEUakonuJQhQ+lshijBruj0HjoYiMx4Q6AnSKcLbpVp9dGM+vHZj8RZAmrxrG46+ciLhUNZyq9TFgNtBFRFZhdpDXBhtV9W8R2Qm0EJGtwH7gO+BFq0t7zC52nsAySgUVZRtjctJ9DdwM+TtBQkegOCz6XEQOq2roQr8vZpGdZkwZCfyjqu9Zj4MJx1MJLqhqkoj0AN63ctb9g7mhzhBVXYq5oQvX5hORhUCDoHFRVTeISGFgoaqebr6rRzAefVNDKyVOLnM73BNiY2LLfHT9R3S9oKsc8x3jsTmPxb6x+I1xTnHeKHFylw7P0nftKczNzmM6XB91xDkmT/htwm33t7zfDUZ1cNu2bbRq1QqAGRtncMJ/wgF8FnlIGxubUEQogDE8TFVN/X22iSJeKYsx8HiA5hiv608xeQt/PemNR4/mHoV4j76JV0oD7+OV/Xh0SnYM60vy3QfU9yeFW/IAcEKH6wbr70rAzuD6SFVVRLZh1lJp7Svh1leVs9CWigQ/CXXKUxDYIkaPoDjmGh6a7/hXjDBVJYwBbzFmI+5jjCd+rlt72Ua8rCKut1D/dYirEV65IqtfYksN7XqM9f4yTG6dBUkw1GdCQZ4N9n2cZ5i0w8OjQ9y89nqWNk0zZPp0GDcOAR5Ro7hpY5NbMXcDqx6DVY+x5k/o/xEUtozZH9wOTKsG4ACphMlL9Gd0pmpz2ng0Ca8sxRa3yPuIXIBRCs2Xri2J5hhjROuTGtMrbmvMNsCleOU1PLrCaovFeD31x3y+1gMj/t7H/Vc+x+OqujJ0KFW93UxT7gBeILwhrylGUKACxsj0PObmq8dJzTuFjzHhlaswOfDSEtwR3grMV9XjIrJbRKpZ9dmWmPpMY6kwNsEY1W4A6gB7MJ+DocAPqiSa3icmZzSWqob93Kjqk2keHwRiI/T9GSOIkSGqOiJC/RaCxumUunSKY6paLrNzZIYIFTGfuUHBNZ3ESUHM5/Heq2tdnfTBdR84ysSWYdWqVQwZMoTExEQ6lujI761/77T76O71Eid9dXjGN26q7BchDhglwvuMUO/ynct7Nh3dxOcGdwD8hR4slNR0dFMA/j70t9PlcC1MfCIxQxENGxubVAwDziPF08cmWnilCOZ61B2jYH4M4zX/JPC9JciWVxgOlAY+wStX4UlWZz9ldLj+hskXnCtJ9JOQ301JzPvZF2PEG02I2IWqJorIIsz3sRowT1X/FJGgMFU769hcg23EywpeuR64jovi4Pfhl2Es9JMidReR8zFGuxuAFsBxTCLqO4EZqrovpLMT86FyV2UrbwcGcPsbE2jcBCzRr1Ni9Wro2RO/w8EngYC9O5oXsH5EJgF1MZ+p3cDAYEiPiDyO2T2vBXRV1akRxumIuVkNUgbYpaqNrfYWmB+3ApiQsZ6quiPMOCMwF4OuqvqlVSeYfEDFVbWYiAwHKqnqnVb7JcCPQHtVnWfVvRfjYn/COFoEx25eA1Y8SwT0GB61DXhnP0uB66I9CZvsRYSSwMVAQ6BGG+ZfXIM/853PehqykotZRGGOhB7SCpFLUZ2fpRN4xYHJLdcesynmBx7BKy/ETeblyUtoL4Lc3ILFw7rQDliARzWpu9yX0bCqOk5E3hORkqmu0YbbgR9U9T/zHGUcxjsOYBtwZUjfqoTsMkc41y/WBt8FmN/zJmm6zMWsF7ZiPADAhGR2wLy2vTN6LrkNEZyYsOCg4a4S5nWbgvGU/MneaMwS9wN7CTHiCjK9gLvApe9d8x496vdwiAiJiYk88MADTJkyhWLFigFwKOGQa/DMwUXHrhw7WeKkjw7XcMbjUN7FiHc8h/FOfHnZzuWOLrG0r+Ci9seH+Ph4ahXNGdn4PG1s8jQi1AP+BzykSuRwTJucwyv5MNFxHsxa1InJd9oN+BqPHovi7HIOjypeuQcoCXyFV9rh0eVncAZ/ExKtYN03VsasCdKyDagR8rhqSL+M2lJxwkeC20WxG5sxffISXsDkvv0es7YLZS5mbVkNGGjV/QLcjDH45a7IoWgn5cv1JZ5Y9bp36MLbAnv27NFihWN09J3OQxpP0WAfzI1EC8xiZy0mf85ezG779UDBDM8BpRXuUXjej+P+kux5S0R11CjVQDpNsMz5/nvVIkXU53LpItBCUX8N7ZItBciP8RIJqvvcg9kpCLY3x0RozwO6nMS4X2Ml+7Q+y5swRjaAh4HPIxw3AmOImR5SdwUmJ9B/1uO2wKaQ9icwP4gjQurWB89nl3OoxHOjpdpVOOpzsctpF9DWTqd+5nCoD1QrVtSEDh3U36VzQK9s79OKZU4oqMY6j2kfPtLfqKch4k6Pn8Tn5kXrc6Nhynor0XSp9POzhC1SHhcDyoc87oLZtEgntAE8CMwBYqzHQ7BUTTFiCLtJLWzxUvjXiLHA/dbflwO3Wn+3wxK2sB6Xw3gCbAYKWXUdMEpuG6L9Xmfx85APtBPoB6C7rbd6DejToI1tEa2Tfj2Lgx4G/V+q+hE8X/7l8olJSUkaZP78+dq5c2ft3Lmztm3bVqdOnWrqt8wPKsjWy+I5O1vvW6vk+nhKW4qMT6fvf2YVB621TiJ5THHQLnm7gDosde3FoM5oz+ecKvE4NJ52Gs8HGs8Ba90wT+PpF06ZPk+XePJpPLM1nt0aT60zeW7rt7uX9fdNwNII/aqTXrzinsza0pYSsaz48gFU46mI2Uy8yhqjV/BaYT1uhTEEbg6p62dd076L+nuWptjCFpnzJI6Y82j8qiMuLo42bdvjcscU9AfkWRHpKCLvYhb+v2BCeL7F5Mopq6p9VHWaaibWfNU9qL6F6qNODby2j1L3qjJkyBCSWrbEvyyL6TB37oTevdHLL4ejR5nm93OlamqXB5uzF1U9oarfqPWrgvnMVQ1pX6yqm09mTMsb5HJSdvabAH7VZPfq94HrLC/AcCwEaohIWetxH1Inaf8Fk2OgovW4HSaMrJ11/nKYHZifT2beNnmCJZgLb+NoT8Tm1BGhpMPBx8Cihg25YfRoXPv3w99/EzNrFs4vpzr47gcXf/+bj1274NlXCvBr7R40kpU8wiiOUhDI4nXKKw9hNhbS5ptQ4HOgjpVoem/K/OR9EdmOUaidJSLBnCtFgaki8ruVm+4e4Nrg76uIfCgi11t93wb+AlaJyG+Y38yBAKp6GOM1N9UauyImp1iGqOr3qvpphLadmIXkblUNvjY/YXaHc1VOllBEKCTCzSJ4MSGyMzAema8CF6hSV5VhqixXtUW0TpJBQAATxh3KJ/8c/sf98/aUS+iOHTtYtmwZY8aMYerUqTz66KMcOHCASasnEeOMWa/DdXUWzzkNc7P1qhUGDR7dg8lo+RBeSZt/6H1gtKrWxnj7jw03qBUW/hQmHL4mJqSwX2ZtEfiN1HkM+2AES4IkJyu3aA+sBFpa5yuHWUctyuAcNjbZST+M40c/tT2Qcx6vCF5phFdexFxX52JSbTwLVMaj7fDoaDy6P6rzPNOYXH1dMRuc3+GV8mfw7P2B/iKyAXiUkOiC0LWXdU87HPP7vAmzrng/s7a0nPARzEtYQVWnqOrMCPNaggm1DRWgmo/ZoMp1ay9JsQfYpMMr9UBW0vRN5xp/e1588UWqVKlC1YJ/c3uFj2n+BCz7i5WYXC5Tgd80G19QERq43Xzs89G4USN8t9+Ou2lTqFcPCheGhATYuBFWroTJk0maMQNxONjn9zMI+MJeJOdtRGQCsF9VB6epnwe8phHCadP0fRxooqo3Wo9vBPqpaseQPruBlmkNhFY4bTGMF0oA8+O5BOgILFfVYla/OcA4TNLrtapa3brZrYe5gNypqped5NO3OdvximCEAkbh0ZejPR2bk0eE2m433xctStl33sF1002QFQ3MpCQYPRoefdhH1YT1+oG/97BmLG2I8Tb+DRiDpgmZ90of4KMMhj0OlMdjQl5tzgwilMCEInXF/Pa7MSkTpmAStocNb7HJOlYC/K3AR6o8lqotTiTGGbOxX+N+Nd7s9CYAs2bN4oMPPuCLL74A4LbbbuO+wfdxzYJr/P+d+G+EDtdnTuLcjTEe9x5VK42MCUNbC/yER3uYflIGcyNVQlNCpHYCl2gaFV8ReQSooaoDrMedMN64l2TUln5uMg+jbHiXqta3FAfXYxSiL1XVLiLSBhijqjUtxcF1wDOYNB8jRKQb0F9V22X1NbGxOVVEKIf57nygyiPRnk+exivVMaGyHkzqii0YgS0vHv0jijPLXXilFMYhwwe0xaMHMjni7MMrMZgQ2pvwaIa5ds8mbE+8SHjFgbg/oHgDpeYAhg4dSlxcnGkrfTGUap20MM69VuNpqqpxqroqOw14AKqs8vloBly2ahVfPPIIR9u0geLFweWC2Fho2BD69ME/cyaLkpLo6fdTWZXPbQNe3sYyvtWE1Av6kxxDMLvWGd0YZ4VxmFx83TGGuqQ07cGd8Bak7G78gnFbbme125xrGHEgW9ziLEWEai4Xiy66iLJr1uC6+easGfAAHA4YMACW/+bmaIXzpafrk2f2UeJmjDFoKLAekbsBs5nmlbdJ+Z1S0v/GgMnh2T/r85eSIrIypGwQEb+IlLDax1h1q0RkkYhE/JyKiFoefcGx2lj15UVkloisF5HfRGSyiJSOMEYnEVltldBNlD7W732uQYTyIgwSYQ5mE+cDTI7le4ByqrRT5Q3bgJdt9AaKAK+nbdDhqomBxPHe1V5/UBmwZcuW/PnnnyQmJpKYmMgff/zBNsc2/jvxn4sM8jmHQ5XlmGv8C5YxMejB8T+gO15pbnVNpziI8XoJpxaYLYqDFn8Du6xcvh3IWHGwJSmKg0FF6lynOGiTp3kd+A+TjsYmu/FKGbxyD175GROOPxjz/b4YqI5Hh9oGvDSYyIUOGKeMr/FKwehOKAfwaCJmrVIhs65nE7awRWR6of4WtPhQZn43m9q1a1O5srWOEAeOFqMd+b9tUAdlICYHTo6gShLGyDHXCmeogkmEXRBjNd+clMS6QCBVgmGbPICI3I7JxQTwuqpJRC0iD2O8Hq7INFQ7Yy7FeL7MCqnbhvmMBedQGBN29k+kQVR1h4hsxbg1h1MLnIvJcbMNs3gG457c3iq9TvUJ2Jz1LCF1KJTNWYAILrebz2rUoNgPP+AqWvTUxqleHeb/5KZZwyr03/sBn+uNwThZJ/AW/5MBNKQeZjE+CfgX4+lVBLPgLIH5fSpilYi/U2lRI17RMOU5ycMY751gSM2XGA8fv4hciwnXrZrBkG1U03kBBoCnVHWhdY4XgRcJ/5s3khRl3CmY0N/zMN+PK8P0P6OIUBMjStEVYww5CnyDmd83qhyM4vTyLCK4MCHkY1XZFaHbpP3H98fN2zKPK6pfQdGiRRkyZAjt27fH5/Nx33338e3ObzXGGbMiYVjCqYhCDcPkBBqMUcIF4wG3CHgFrzFaR5GPyUOKgzZ5ExGuwSTI76TK0WjPJ8/glcKYnLYezLXyBCY6biQwB4/a98eZ4dFteKUDxiPvC7zSOQ++bjsw6U7yDLYRLxxeKYW4XqFqdyG2Gst+ncKvPy/iqg6Xs+nPvyhQID/VKrzApTX7CZtGP49XJuPRnTk9Lcu7botVbPI4qjoeGB9aJyIPYpSTrghzw3iy9AXGqmpoTo5lgFtE2lt58fpjhCtOZDLWE0BjVd0kIlXTtC3BKOB2xwi9gDHifY1J4L4Ym3OVJcBwvFLayrVkc3bwEND4889xnKoBL0j58jD+EzdXXNGVSdxGt1BHoWkUpyFXAHPxaDjvu+ykLyGezao6LaTtF6BCUE0tqwOq6r8Yw2OQXzHeauHwYTbnBJOsH0wuuSEnc87swto0vAhjtOtq/X0AkyftOWC2KsfP9LzOQW7CbKy9FKmDDtcN+Z7O9/vTC56+aMXOFaayEnQZ1QWA//iPyfMnJyUGEieeygRU2SHCKOBxEcao8q+lcPgg5jN9I7CAM6w4GMJUyEOKgzZ5DhEKYcK8P1Xl22jP56zHhEd2JOW+wg3MxGwqTcOjtpH0ZPHoWrzSCeO5OAav3H4G1l1nku3kMU+8U86JZ+1gTcJ4hR3HuCkODOa+EJExGPfV45ik1fer6pIIYxXHeLM1wyxkp6vqo1ZbC8zOWgHMG9BTVXeEGWMExhOoq6p+adUJRt2tuKoWE5HhmDwYd1rtl2Byt7RX1XlW3XvNqlN48VN4ws11xGSoWgp6XZqq+kY8OiXTF83G5jSwxCH+xnymD1vVCarawmofBgwASlvtJ4BGqrpHREYC/6jqe1bfoHfdRWFy3bXC5LfLb/Xpqap/h5nPCKCYqt6fpr4qRmmxWEjdTKCBqpYLqdsJrFLVq07l9bDJA3ilHeYGayoevSG6k7HJCiLkd7vZ8eCDlHje8smZNGkSb7/9NqtWreLw4cP4fD5cLrNHuHnzZnr27Mn69etJTEykdOnS9OrVi6FDh+JwpGT06N4twO9frGeV/8JQ1YrNqIbe0OfQc5LWGO+3iuEMZiLyFFBfVTtHOF6B5ZiN0e+BJ1RT30SIiNNq+0pVXzV1ODBpEc6HZxrBq93hRAK47oaDRTGKmQ+c/vMjH2ZDyA3cGCndhjWfFqQY7oLqb1Mxr88CVdvr/0xhGVJXABtUuSXDvnEyKMYZM1QiBLX7k/yBgAZa6vD06+csziUW4403XZUByQ1emYjxwL9AujMLszE4VkRuAh5V1abpx5LqGI+Pxhgj91cY5b+3MmoLM848rPy/ItIVOKaqM0WkF9BFVbtY/VoBn2JEu6pbdf0wHo5bVLXDqbwmNjZZRYSXMBtFF2TgUWuTEV5xAJdgPO5uxnjiLwTigS9CBa1sTgOvdASmY4zOD1ipb85+vPIuUBePXppp37OE0zXiXQZ8q6oqIvcANwWTw1rKIt+EhKK8papVI4z1JbBIVV+yHpdV1V1WktoNmJCWuVa4SwtVvTnMGCOAazE5Oa6z6q7A7BjXsox4bYGPVbWm1f4EcA0wU1VHWHXrHcKAwEQUE9KTGQrMy2PWahsbG5ucxyvDSFHy7ItHP86ou030EaG708mErVuRCtae5qxZs9i/fz/Hjx+nb9++qYx4hw8f5p9//qFmzZo4nU42b97MNddcw6BBg7j33nuTx122DJo2hfm0pS0/BqsXY21S5Oxzko+Afar6vzBtPTCexm0tz7pwx1dW1W0iEotRDz2sqoNC2sWqLwPv3Qz9r3Q66QdcFQiQTvlb5JBPte0xmHYfnF8aTrTEGDQeVNXEtP0zfm4UxHjPtcfkQW6uypKQdjcmtUJXTEhSOUz48hSrLLbSeticYUToiPEuaaqaSnE1WvO5AxO62kAVo3BrFGrXA09Id6ZjFGlLAoeA3qr6uzlWPgSmBT1cReQujCohmDQbA1RN+FZGbannE17EK4wRz4XxIp2hqrdZdedjRC4eU9XnsbHJIURohIk6GKTK6GjP56zCCKDVxxjuumFyb/6OMdxNwqNbMzja5lTxym0YEZBhePTZaE8nW/DKUKAPnpzfGD5TZJs6rYg0Bb4IZ6gTkVIYlaoCaXe5RaQmxhOjimpqQ5iVSHqCqtaxHhfGSAgXSxveJylKmR2AyywjoBfjafecZcSLwSQUra2q20Xke+Bl4H+q2k6M1HzQcy+z8EEbGxsbm9PBK8uBRtajAEYZ66cozsgmE0T4sHVr7li0KH06jnnz5iXn4Qoa8dLy119/ce2119K+fXveeiu1c021Cgn0/ucZnky263Ifqm9m93MIRUQKYdYnzVR1XZq2W4GnMR5xWRJpsLx+RqvqRSF1bwI14J/n3O5y7/t8XNC6Nf7u3XE1bQp16xqhqhMnYMMGeOihezl4sFPS0qW1RKSXT3XhTSBNMV5DY7L+3CiKZQTCeAn6MMbEIZi1UleMmEhxjCpw0HC3+lwXxxKRWhhBh1LAQaCXaviE6CLSF2N0cmBCkQaFGKQitqUZYx7Go62iqu42dat/gvqtQL+ylFbnAh+p6kTrmGGYfHXJa2IRWQfcrarfZ9NLETJHHBhjxB5VUjzovfI0cC9Q006LYGOTgghOTOh2AtDW3hDJIl6pSoqy7IWYkPqgsuzvUZzZuYNX7sZESfbHo2e/8dkrvTDrnwJ5xbswO9VpB2Pc3iO1fRMhr0tdTJjsuyKyTES+E5HgTV0qlSpVPYzZ3SufwTwmAneISDFMeG5y0n5rB/snoL2I5AOqqeo3QDDBbXvgZ9uAZ2NjY5PDeOU8Ugx4QabhlUrRmI5N1siXj0tatz75fLpt2rShQIECVK9enUOHDnH33Xen69O8tZvFjlahVT0QcWfpBF6pjVceszyDToZbMWH9aQ14t2AMeFdkZMATkeIiRs3Nih64FRMCGWx/A6gJB1dBufkXX0ztP/6ARYtwDRoEzZtDoUJG2bdAATh+/BfKlz/IkiVXO2bNOialS8fEANOgb2coUCyrT0qEkpjco0EDHphw2gHAXkyIbC3gWaCmKg1UiVPl93PdgGfxPsYYWxuTb21suE4iUg3jTdwGExp9HtAvs7YI/IYl9CNCc5jUCopuCGkPKr0HaQ+sxAiNYG1EV8UITmQ7lgHiIaCjSIgRz7w+xzEpbWxsbFK4B2gA9LMNeJngldJ4ZRBeWQT8hRH2W4D5/ayGRx+zDXhnEI++DcQB7+KVG6M9nWxgO5AP4ymeJ8gWI56IPI5ZoDwWpq0HcAuRFy4uoDkwSVWbYBI5fy1ZXbinZxxwBybZ5WeQ7kczuAhqQUpC/V+AVlb93FM8r42NjY1N1ulE6t9nJ0ZpdDpeKRCdKdlkRlIS51Wpknm/tPz4448cOXKERYsW0bNnT8qUKZOuT5VqDna6UomHNccYxcLjlfJ45QG8shIT0vcsRpHuZOgLfBSmPh6TF/QrEVlplZIAIjLAyjMKUAf4RURWYcJ8SgL3W/0uBu6F8i2h7aMVKzaUYsVucNatG34iPp+PIUOG8PLLLwPQoUN9rruuOpUr18Ph2NQg1rnmxgNS/HFERiPyAiYCIh0ilMMYci4kvYCZG2OQqqBKa1VeUuVUFEvzLCJSBmP8DApBTAYqWZEjabkJEya6S01oy3uYsK/M2sIRXL8CgSEwIQEOvhfSnmzEsyJLqgEfkGLYawf8kpMb0arMwxiAX7aUc8GjhzEegQPwygU5dW4bm7MJESphNoJGqbIm2vPJlXilEF7pjldmYPKvvohx3rkWKI9HB+HRhXbKqqgRh7luefHKZdGezGkSzAebZ8QtsrybLiK3Y6ziAK8HQzqsPHVdMbvVx9IccytmZ+7ySLlkMC6yOywlTFT1W2txUsVqS75dsMJpgwn5w6KqO0Rkq3Xe1mG6zMUs2rdhcm2A2a1ub5Vekca2sbGxsck2rod0Hj8ujOFhDF7plldc3vMMIjEx7hNu1XyndLjT6aR169YsXLiQfv36MXny5FTtqiBpPxIx3IFXJuGxPPm9Uhyz5rgds0OfREr+2kRSFmpZQlXDrRNQ1YgbiUGBIOvvnzE5e8L1WyTC/Q4Hr06ZAp3DymKk4Ha7mT9/fqq6Dz/8EIAlS+Dydv6LRxyLu/h1Bgeb/4fIdOA2rPWXCC2BGZgQ2XAiB36gtGrkdZQNlTD5lf0AVt7nbZjokE1p+qaKGAG2WHWZtYXjb2CXSI+bofsNkP8n0AMh7b8C5UWkEsaAtxizjv0YGIFZw/6Qtad4WvwPWAPcibnBAxgD3Ie5Cb/2DMzBxibXYonSvAXsAp6J8nRyF15xY9I5dAc6Y7yjZmHuv7/Co0eiNzmbVBgV8vswm5Nf4ZX2eHRptKd1imy3/q8IrIrmRLKLLHviqep4VW1olaAB70HMruKVqvpfaP+shqIAy4BDIlLfOq45ZuH5t9XmFpH2Vt/+GOXazHYZnwCGBZVy07AEKIP58Zhn1c0HbsMkdF4c5hgbGxsbm+zCK/mAjoQXD3JhvK/ah2mziRYiLYEtNdgcu2XL6Q3l8/lYv359uvqtfyVRzp9GCLsWVwAJeGUnXtkM7MN4H7XBrBVCP0MOzNohuogURKTpUHnmJodDXxw+HMnMgJcZzZrBu6NdvMF9zCKVmOZ1/1JmogiPi7AU+Bmj2icYA2ciqY3lLqCzlS/PJvfxMewbCe8cha1PhTZYKWEWYTzu2gHzVPVPUlLCtOMMRJOoshFjoBiZ/DnyaACz0X8NXrkyp+dgY5PLuQGzUTlAlePRnkzU8YoDr1yCV97B5KD9GuOk8whQDo9eg0fjbQNeLsT8tt+OWVt8i1dqR3lGp4YnOSXbueeJlxYRqYgRhdgMzDXiayRoipJcPGYH4itJUby/XFX3icgAoLyqPmntcN4BfCAiBTDJP29U1QTrPD2A960Fyj9Y+UIyQlWXAmEtxarqE5GFQINgDhxV3WB5+S0Ml3DYxsbGxiZbuRQogDEu+IAYq/4wZodsBSbNgU1uQOQ8zE55kea+hfy6sCYmKtMQCATw+XwkJhrh1ISEBPx+PzExMXz//ffExsbSpEkTnE4nP/74I6+//jq9evVKd5pfF/m4MynN236cD4HvMZtsl2AW/kJ4LzMX8DxeGYi5UfjH+n9nusces8bIVkxuvOcxIZFFNkgd6tf18/jjp5odJDXdu8MXnwV4/JsX6eD/LvkFKM6BGyqxre3fVJ4CPInx+KqI8dYKltqYfGnFMN+7oGCDTXr+BsqJiEtV/Za6cGVMBEdatgGhandVQ/pl1BaB+b9CzzpwaDckzMbcPIUyF7PBUQ0YaNX9AtyMuTn5NePxs42nMJ/zxwgqyXp0jhUW9zJeaWTd/NnYnFNYhu03gfGqZLvAzFmFV+phnGa6Ya7da4BXgE/w6F/RnJrNSeDRRLzSFbMWm41XWuPRk4p6yCXswKyN8gTZpk5rY2NjY2OTJYx4xWTMJtAqzA3pTUBJO4Q2FyIShzEO8Qm30dMRz19bHFSyJEjGjh1L79690x02d+5c9u/fz4gRI9i8eTNOp5MKFSrg8Xh49NFHUynYLl4MLVrAj1zCJSl5+fcBdVDdm9zRK1WA14AuGE+ztBEFL2CMVOUwIljlrJI2mfF+Ihn4Uhv7jpEVRFyYUMY2AFuoQg3ZzISJDjyelG6TJk3i7bffZtWqVRw+fDiiku+yZcto2bIlLVq0YOHChcn1v/4KLVvCfNrSlh+T6xOIuSGfJkzNfJoUAorY4bQZY6nFjlXVsSJyE/CoqqbLQSgi1YGFQGPgX4zA23eq+lZGbRHO9xpoa5h0F9x9u+q+6SLSC+iiql2sfq2ATwG/qla36voBD2PUizukHTunEGEwMAqoo4q5ITc58X4HBuDRD8/UXGxscgsivIWJ7qqjyt7M+uc5zDX6Nozx7iLMpsgnGOee3+013lmMV0oBP2LWXm3w6P4oz+jk8Mp3wN94tG+0p5Id2EY8GxsbG5vo4pVLMAuD6vbubC5EZA5wOUAibqq4dtDzgdKMGpV9p7jtlgDrv1zDcn/9oIfZn8BNqK4Me4BXOmLycVUidUhtCTyp8ogF++cDypJi1Csf4e/SpPbyO0QkA1/o4+5cg7lRAeAdBvJowTfY958Ld4gj3qxZs9i/fz/Hjx+nb9++YY14J06coFmzZpx33nmcOHEilREPoF7tRK7a+AYv8Uho9WVYuYVtTh8ROR8jAFIS8xnorWqUEUXkQ4xgxTTr8V0EvdFMmpYBwaiOjNrSnG8eVP4Atr4LPKvK81Z9L1Ib8VzAAWCGqt4WMtd1wGOq+ny2vQiZIEIMsBpYrsptyQ1eeQuzKVPLCmGysTknsHKS/gT0VmVctOdzxvBKSYw3cHeMx/wB4HOM4c4WpshLmE34RRivtivw6NEozyjreGUMRjClY7Snkh3YRjwbGxsbm+hSVi6hIQtYyWL+ZQngxQgG2OQCAiJfOU1+HwBe5kEed41i8VInDRqc/vizZsFVV8ETjPxsJMPXYW6CZqOZLPyNYe5BjJBVDCYdR8HT2uk3SbfPI8WoF8ngdx6hXoAvEWBFijHxDsayva2H7+eHD6WdN28e7du3D2vEe+ihhwgEAhQrVow5c+akM+L16wdrx/zMj/5kTY4tQE3UDl88mxHhMUx4amVV/ovydLKECJ0xarWtVTG/2V4pDVbePI8Oi97sbGzOHCK4Mbnc9wBXqKYT7spbeCUWuA5juLsKkxplGsZwNwuPJkZxdjY5iVfqYLzMlwCdz5r32itPATfg0XrRnkp2YBvxbGxsbGyig4gTo6yYNu8TmF3c7th5SqOGiBQB+nngsXgjlgBAAAftnD+yr1ozFi12U7z4qZ/j77+hcWP8Bw7wZSDArad04+OVypg8O1vw6MOnPpuTOqcT47VnjHr38wJ7uDDY3Nq9hKYDmvLGG+EPj2TEW7BgAXfddRcrVqxg1KhRYY14r78Ozz6yn399JQECGI/Fqdn8DG3OICLkxxhjx6kyJMrTyTKWCucPmBynrZK/v155GJM373w8GYrb2djkCUQYAsQBF1niL3kPs8l1BeDBiHfkB2YDXmCq7Xl7DuGV5pjf/mlAj7PC29IrA4Dn8WixaE8lO8iyOq2NjY2NjU02M5TwBjwwoRlPRWizySISJ+EEIDI+RqS8iLyAyWUz4nOYeJSURHVOkpgY6MahLfu4/FIfu3ad2tw2boSLL8Z/8CCbAwH6n7Lngke34dGbzpgBz5wzgEd34dHleHQGe5gU2uwTN/nyndyQR44coU+fPnzwwQcULFgwYr98+SBR3WDCM6+0DXh5gjuA4ph8j2cN1nf2IaA5RlU8yJuYcPNnozEvG5sziQjVMR7hT+c5A55XBK+0tsLkdwDfADUxaQIq4NGr8eiErBjwRGSLiKwXkZVWudWqLxlSt1JENoiIX0RKZDLeWBFRESkWUtdCRFZZY/wgImHVSEWkj4isEZEVItI4pH6kiHjCHWMTgkcXYwy5NwGv4T35tWYU2A4UxSuFoj2R7MA24tnY2NjYnHlE8gH3hFYp8A/lWE9t/qQ6Ryk4AJHY6Ezw7EbiRCRO+jrF+afESdcsHSNyoYiMwXgE3YERiaicqDo41uTEewETKkQVtjHffzGH1+6gfl0fEydCVh37AwHjTdagAYFdu1jt89FGlfR57M4u3sOIZQBQJPAf+/ad3AAPP/wwnTp1om3bthn227cPEhwF/0W1vZ0H7+xHBCfwCEbNcme053OyqLIcGAe8IEIBAEv9+X9Ad8tjw8YmT2J5o74D/IUReskbeKUuXnkGI0C2CLMGeAOogUdb4dG38Oi/pzDyrara0CqfAqjqvpC6hsBo4FvVyMIJItIVE8IbWufAhPPer6q1MQbH1yIM8QTQDBgMPG4dfyFQX1W9p/C8zj08OhvogVnLD43ybLJCUFE3rGH3bMM24tnY2NjYRINKQOn9FOcN7qW9awElXIeowD/UYT01+ZMicrho0Xwn1jkcfCBCa2uxbJMJEiflXA7XDEE+bFWpVVVgsnOkc6LESbrAVzG0E5EZmCT1rYBBQFVVfTZ5Ea2agOqjQEXgQmB6DTazxN+Qmw58yO09k2hSP5F33oHdu9PPSdWEzr74ItSuje/BBwkcP87zPh+tVQlzxFmGUdC9AtgK0CiwhKU/JZzUEDNnzmT8+PGUKlWKUqVKMWrUKH799VdKlSrFpk2bkvstXkxSgt9p54zMO9wIVAdejPZEToNhQCnMDXGQyZib/1fOEi8NG5tT4TagI9BflbMjN1gkvFIJrzyCV1YCf2A2877AKGzXxaNP49HNZ2AmfYGPIjWKyHkYw9uDaZqaYJS7g5tb7wPXiUj+MMMEMOHAsUCiZQB8ldS/YTaZ4dHPgLuBp6xw1dzMduv/PGHEs3Pi2djY2NiccT6SvlVWU++vdx13iyvGQZeuDlq2cnDRRVCsGPj9sHkzrFgBX32Fb80a3G43a3w++quyMNMTnKNInNzqcrhGlytUruDErhNdbau0Zfr66fT+qrf/UMKhfb4k3x06XGeJyUfYFeMB1Axzs/0iMF0zE5QAEHkLs3ADYClNeJP7+NxxK8eT8lG+dCLnX+BIylfQpYcPo2vWoAcO4Ha5OOr3Mx54Q5V1OfIiRBPzul79LI/1fkKe6fr3dqF8+ZTmQCCAz+djwYIFdOzYkSNHjuB0OomJiWH37t34/f7kvq+88goLFy5kypQplC1bFpfLxYkTULYs/oMHGaqah7w+zlGsjYmlwF+q3BTt+ZwOIgzHhNbWUsV46BgvvF+Bm/HoF1Gcno1NtiNCCWAt8JUq/aI9n1PCKyUwIZEeoC1wEJOT2Av8iCf7BJNEZAtG7VuAxcCjqronTZ/WwBSgoqr60w1i+kwDXlPVH0REgeKq+p+I3Aj0U01RHxWR3UBL1dTGR8uTbxhwGOiP2YRzqurr2fNszzG88iQwArgVj34e5dmEx2wmnQDuwqPjoz2d08U24tnY2NjYnFFEuNjt5vOC+QJln3rWKb16QeHCkfurwrJl8PjjBGbPxulw8G5SEoNVsUUvLCROSjnF+W5AAzf1b9JfX+rwkhSKKcTevXupVasWTz3/FAtKLEj6fM3nDtkuC3W8ViCRqhhlyRf1ZNWARZpilMlScZAi/EJLVtKQ9xgwbQvV/sMsmtYBK4FfVTl2es829yNCfrebHY88QolnnkmpHzt2LL17907Xf+7cubRr1y5V3YgRI9IJW3z0EfTrRyApiUpnY+ilTWpEuAKTGL65avrv09mECLHABmC6KikeGV6ZCLQGLrDCbG1s8gQifIBRaL3grEoJ4ZWCwLUYZdmrMV5p0zGhqDNz6nsqIpVVdZuIuIGngYtUtVOaPh8B+1T1fxHGuBNoqKr3WI9PyYiXZsxKGJG1qzC5mGsAm1T1bAgRzR0YA9kbGINoJzw6J8ozCo9XNgMf4tGzPl+rbcSzsbGxsTljiHC1w8FXHTvi/PhjHGXLZv1YVfjkE+jTh0AgwPd+P51VOZFzsz07kDip4nK4lpYoUKLY+C7jXR1rJq9fuffee9m6dStdu3alV69efLr6U/pN68fRw0ePBL4MtNN1uuzUTyzvAAMjtH6Mat9THjsPIMLw2FiGrVmDq3Ll0x/v0CG48EJ8//zDpEAgoiCMzVmECHMAhyqXRXsu2YEId2BuhhuoshoIqkevB57Aoy9FcXo2NtmGCG2ABUA31dTCRrkSr7gwee08GC/8gsAcjMfdl3j00JmcjoiUAzaoauGQukIYQZxmqhrWU19E4jEeg0EPwSoYEa7OgAuYoKp1rL6Fgb1AUVWNuFYUkSkYYZIyQE9V7SUi44CxauedzTre5JyE1wHt8Wju25jyyo/Ab3j07kz75nLsnHg2NjY2NmcEES50OJjavTuu6dNPzoBnHY/HA/Pn48yXj8sdDt7NmZmedewC8j/Y8sFUBrw1a9Zw5MgRGjdOFl7j1nq30qdxH5yxzv10Y/npnFRg8P3w718m/CbIH5iceneezth5hBcTE9nSrVuqKNlTQhXuvhvdtYujSUmE9VCwObsQoQnmpvr5aM8lG5mA8bhNMdZ5dBvwMvAEXimd0cGZqVSKSDMRWWSpT64UkYjGTxH5QkT+SateabWpiPwecp42EcawFSxt0iFCPoz4wkzg0yhPJzJGWbYFXnkDk9R/JlAHI0JQAY92xKPjzoQBT0Ri03wPuwEr0nS7FVgVyYAHoKrdVbWSqlZV1apWdX1VXQEsA9wi0t6q749JEZKRAe9WYK2q/o7Jjxf0bkoC8oSK6RnDo0mYPIoLgW/wSp0ozygc2zG5nc96bCOejY2NjU2OI0I+t5vPmjTB8fHHiNN56mO1aAETJ+JMSqKXCDdn3yzPTnS4JgSSAp95V3tThRcPHTqUuLi4VH2TNAnvaq8vMZA4QYeftit+/9eheHWT9LokUArVeqi+i+3mjyrHfD5u+eUXknp016TEU0x5rgqPPQYTJ4LfT09VdmXvTG2ixBDMTezsaE8ku1AlCZMXr6MIV4U0vQAcx3i7ZHB8ZJVKERHgS2C4qjYAbgHGikiBCMO9BzTM4HRtQs71Y4Q+toKlTTiGYDzABqmS+651XqmDV54CNgG/YIQ33gZq4dEWePQNPHqmryPnAXNF5DcR+R24FNJ5lIcVtLCM5pmKJlj5fHsAr4vIBkzI8AOR+otIcYKiDIaZQEkR+Q0oYT22ORk8mogRa/oT+A6v5DaD2Q7yiLCFK9oTsLGxsbE5J+gL1PnkExyubLjydOkCvXqh8fG8IcKXqpymr9PZjaKf/Pbvb3027NtA7ZK1mTlzJrVr16ZymjjOH7f+yO6ju93AJ6dzPmtHfQTwZka5Zs51VFkhwjVTJ/u/vXybOD4c6+L887N+/M6dcPfAAF9NcyhIL1W+zrnZ2pwpRKiFlUw+VxoBTgNV5okwFXhZhDmq+PHoYbwyDHgPr7yNR9cG+4vIG8D1GKNII1VdGTLcAMBv3ZAfBcqomlxLqrpBRP4DrhaRoqRWlawILFDVrsb2xzzrfxdGiCAsIvIERm30MMYrKKhg+QSgIQqWd53aq2NztiPC+RhPtmGq/BXt+STjlQqYz64Hs7G2E3Od9wLL8UR3Y81aJzTKpE/rCPVPZnCMpHn8M1A/i3M6gAnNDT5OxPwW2ZwOHj2KV64BfsQY8trg0X3RnpaF7YlnY2NjY2OTFURwuN08cvvtSI0akfuNGDECp9NJoUKFkku3bt0i9n/iCcTvpyxm1+9cZ67b4d7/ye/GNrds2TJ+/fVXrrrqKiZOnMjLL7/M/Pnz+WT1J8Q4Y9bpcP3jNM/3OEZh7pnMOp7rKLJgYaDVkUNL11O/XoCHH4aNGzM+ZscOeOYZuKCWn+UzdvGFdl2nylmvpmaTzMPAX0BeVWz9H1Cb1GH1Y4A1GBXsUL4ALgG2hlZaKpWVgFGqWhvzW6MicovV3gw4H6iqqmPSePDtwuRmCnKV1VYP+Meq+94Ky33FCvUrgvHiqQ+8A9xrPY9fgLrAfZhUATNUNdVcbc4NLDXp9zCG4NeiOxvAK8Xxyp145QdMXrgnMN69lwOV8OhDeHRZtA14NucgxmjXAROSPAOv5JbQ5O1AGbwSE+2JnC62sIWNjY2NTY4iQlNgyfLl0CiDfdhwapyZcdVVJM2Zwwy/3949lTh5s0bxGv033rvRbXmdAOZ1rVq1Kt17dqf0i6X9BxMODtfhp67MJSLVMGqzj6jqG9kw9byNUb7b5sPFG9zHK64h/OMvQ5OLEmnSKoYLL4TYWDhxAtavhxWLffy02ElR5xH6+99mGE8TyzEfqmf9otMGRCgHbAHuV827eT1FeBWjfllL1cqb6ZWgGm8HPDo7dX/ZAnQJeuJZCexvAmJV1W+F0+7BGAILY/JvlgO+Cv0dEpEWGKXNCqrqS6Ne6QTex9z/9BWRWIxR5jDwCLAKqAf0xhgQn8aE1F0LFMVWsDynEaE3JtyzpSqLozIJrxQArsF8tzphcrh9jTFaf4sncv43G5szjsmLtxCTr/A6K9w2mvNpBfwEVMVzdm/G2OG0NjY2NjY5TfOCBQk0aMBpZMILT7t2OH74gdYiyOmGpYlILWAcUAoj1tBLNbzHmoj0BR7FeLT/AAxSVV9mbWnGmAe0Biqq6m6rrjomj800Ve0iInOBj1R1otU+DBgGFAsmaxaRdcDdjOCTPw/8ec+Hyz+kXOFyyedp6mkKwKu/vMrBhIMuOG0lvecwXjPvneY45woHgEQ3/piHeIXB/teZRUdm/n4VK9c2Ywp1OKExuMVPTfmThr4l3M0PdPFPJT8JwTH2R3H+NtnLYOA/YGx0p5HjPIVJcv4Y5vcQPDoHr8wAXsYrjfBoINyBlkplF+AfVfUDqKqKyGZghKr+YPVbizHmhdIXo1AZ+pvrFpGVmJDd37BC5lT1qBiV7dHW369gPO92WXMfCbysqodEZCzwINAOKK+qt4rIOBFpbytY5n1EKI0RbHnrjBvwvOIELiNFWbYwZm0xAJiCRw9mcLSNTfTw6Dq8cjUwFxiHV7pbAhjRYrv1fwXSeH+fbdhGPBsbGxubnKZe/fokORyZG/FWrFhB6dKlKViwIBdffDHPPPMM1apVi9i/USPw+SgJFOf0DR3vY27mxorITZib7GZpO1meaE9h8s78C3wF9APezqgtwjl/A3pi1BsB+mB2LIPMxdw0TrQet8eoP7bE5HkqB1QFFgEJTnFu7/d1v4j5PlwO11LfE75TzmEnIi0xuaK6WvljbDJD9Qgin2CMArgIcA3fcA3fEJLJ8QQm91YkxuTsJG3OBCIUBQYCo1Q5Hu355CSq7BchDhglwvsh+cMeAX7HeLt9GOHwW4ENQME09e7gHyJyFyZP3g8hdbGYvGAt0xznU9WGIhKD+Z2/B3jGynF3K5ZKpqq+gwmlRUSaYHInzRSR/7N33uFRVF0cfs+mQBIChN6rFJHeESkiCgrYKa5gAVSaBSzYEbB3+EBAEQFxrBQVUBQFFFBEpHcEBJQeek053x93EjYhnSRLwn2fJw/ZuTN3zi67m5nfPed35gDlMN+/27EdLC8NzN/zEGAb6FuY5izPZsu5HRGgISbjritQAvgT0xzmc7y6O1visFguFK8uxZGbgVnACBx5yI8l3nsw39853hfPeuJZLBaLJasJyZ8/9b83t99+O+vWrWPfvn0sXrwYEaFt27YcP3482WPyubdPW6m4AJEMd6oVkWKYC+Y4sWwqUFZELksqVEym3B41nhRjgTvSMJYUk3DFHZ8bSt+uh3EiHu4NaEXgg7ht7r+/q+ppHaIaozGXYW58k/yJjo1unuqLkQxuOdvbGLPiGRmd5xLlaUy3tqTYCzwCnJet6bIekwFiyfk8gLn2fs/fgWQTYzDZDq/EbzFNLcYCL+JIeDLH9cII1yVFJBDiv38uAz4Ukc1AJ+AW93sWt3ulA6xV1XUiMktE4rIu1orIfHfhYRHwrIisxIiJhTGfv3jcc77pbr8fqI4x5b8F2IjtYJm7EemByBpgK7A2isD9o+nXowZrn1DlaJae25GqOPIC5n32B6Z0dhxQDa82wqvvWgHv0kNEtovIRhFZ4f509RnLIyKjRGSziKwWkSnJzNFaRE75zLEirru3iFQQkfkicsTNWk4plnHueX52mwohhu9EJGnna6/OxQjS/THejf7Bq1EYIS/Hd6i1mXgWi8ViyWpOHTlCLKSciVezZs3430uXLs2ECRMoUKAAixcv5rrrrkvymGPHzL8FOFIT+AKRAagml/WWEmWB3YlKt3Zgsi+2JNq3HAnT8Le721IbS4qdwB7XxykCs9J+yGd8CVBKjK9aRcxF/XyMN9MLmMyQ+EwUHaJnyDpuB5oBjeJunC1pRPU/RJqMh0UdoUIJCAb2YUSHt1D9FyMKPIXxOQrYTxE2UP3HFizsiumiZ8nBiJAXGAiMU+WS+P9U5awIjwMzRBihym/u0FBME4nBJJHZFNelUkRudfebiGlgtFFVGyZ9Lh0rIndiPMtQ1Q7uHOWB/ap60l0ouRyYpqp3phD6o4Cjqntc8XCCqp52/fWCVfWS92DNtYg8ia/oDAQRHdaPMfRjzBMI36Ca/MpiRnCkJOc6yzbEiAyfYf4+/GkbU1hcuibq3h3Hq5jssqrutWuJFObY6Db/ScxRzHdxAVJoWCYiNYEqqlpLRJ7HVJKMwjQxmqeqyS1Wgle/wpF+wBgc2Y9X/eUJ+y+5IBPPingWi8ViyWpWr16NJyYGAtLhiiciiAgp6UXLl0OpoH0Uioq/J34ZkY9RPWrmQIBKwDZV/OnDkRITMJknEcD7+KwQqupZEVmEybirCMxX1b9FpIyI5HW398rqAEUkD/Aa8Imq/pnV58uNiCkFrAz0VNWPz9tB9TfgRkRCgbBS/PdeNEFFLxXB5xKgBybr6x1/B5LNfINZeHhHhGaqKF7djyMvAsMLh0vFyOO0wpQLzhGRY6oalwH9ADBRRJ7G3GTeGzepiIzHZD1/4z6uBtTFiOC+1MaUzoLJgvwL02k2SdxMktY+80wBpovJ9F6kqqsz9jJYLhZEKAJ4PR6uCgqicXQ0JWJjCQgKiD3VOPC3sPrRS7iF6bRiAZLw0DqYzMy3LzgIRwpg/O3uxCzGncBUADwFzEvOL9Ji8cW1EOiF8VZWAFXdk955VDUSWCgirVPZNQrI4y6IhGEWoUtiKk6SXm33xatjcaQoMBpHDuLVL9IbayawC5uJZ7FYLBZLqiw5eZKAFSugQYPkd/riiy9o06YNRYoUYe/evTz++OMUL16cK6+8MtljFvwcQ5Poxb6b8gM3AXEiSW+MMPaRCL1TEPJ24pZu+XRCLAfsSGLfHRgxJo4KPvulNJYcMzAC2RngJ+CuROPzMBf5FTF+WmDM1ztjLkSWpDJ/ZjAA0wny6Ww4V27lLs7dqCWP6kngZLQwBZPBVE411feQ5SJGhACMF9zHqvzr73iyE1VUhEcxWcZdOddY539Av4PjULyaZFaEqm7EZP8mNdY7iX3PK89V1W8x3WrTGK/+DVzv8zgSaJXW4y0XLyKUCQjgDY+HznnywNVXIw0a4KlYEQID4fBhT/jq1U2Z/2t9Rm54mMpB//Bc1PPcxWRfMa8HGRXxHMmLEYe9mI7HgvEJ6wrMwqu52ifTcsFMdq9N/wCeVNX9mOvNSOBpEWmL8W18QVV/SmaOyiLyFxADfOT6gKYZVd3oNlz7C9iMyaqeADweV8mSBl4EigJTcOQwXv0hPTFkAv9iFnxyNNYTz2KxWCxZyhmCa1cP2sJ7o1JOhJsyZQqXX345oaGh1K9fn6ioKObOnUt4eNK2SVu2wA8/efBqQvuPGDy+Bzzg/ns3RshLMhfQ7Q77F6Z0C0zp1i5VTVxKC0aEuVFESrgXVH04d2Oa0liSuF1mBwIPqSbZtWse0BYor6ob3G0LML4ii7KkwYQjjXACHsORQBEpjCmzeEdVrZiUAdz3Qi9MJuPJNB72HabhxecidtE1h3Mzxs/tDT/H4RdU+Qvj//maCCEAePUM8ARwJ4409mN4llyOm9TfJyCATaVLc/sHHxCwbx8Bs2bhGTYM7r0XevSABx+E99+HleuDWbECrr6rLPfKRNoELGAHZeOmS18jE0cCcOQaHPkQUyb7FcZLsT9QAq/eile/sgKeJRVaqmptTNO0A5jvUzAJWeWBda7VwEPA5yJSPIk5/sJk7NXH+Hv2EZEu6Q1EVZ9V1bqq2hm4FrMIvl1EPhKRqb5+fUliysMfAb4Epvnh+z9XZOKJtbWxWCwWS5YhUhtYPo77PQ8FvsfqtQFUrZo5U9/dI5YFn+1mS3R5AjlXedKQpXuW0dDBrFb6CmixwOfAXaqct2LolmNNxJS8HQXujSudSqJ06z7gSffQ+UAfVY1KbSzR+eYD76rqjETb7wFuVtWb3ceBGJ+8WarazSfWDcBTqvpqyq9UOnEkBAlaj0aVBwbKnVTE+PVUUbdM2ZI+RKQF8AtQX1WXp+0YAjClK4IpSeyqyumsi9KSFbgl/X8Au1S5xd/x+AsRSmM6zg5XxXxnmQ6cv7q7tLDeX5bMxv38vQUMfOopeO45CAlJ+/FLlsC93aM4vP0Qc6NbU4P1azELayuBz1E9dt5B5n1dH5Nx1w0ohRFQPsF0lr2ksnEtmYtbvrpJVcNFpAimOVawqinBFpGlmGvDuanM8xRQSlUf9NnWGnNdWjcNceTHZJK2w5SB/42xH1gJNFRNRZh2JBj4GmiE+f5fn9o5MwVHemC8U/PiTXLhPEdgRTyLxWKxZB1G/Op1liCaBS7FU7MGi5YEERx8YdN+9RV07gzTuZmb+Tp+eyQRiwoT+QumPKVSEofGYlbC70xKyLMAjgwlIO8zVLgzIPbviafLPxgTuCuSB1V1rL9Dy6mIyCSgpqqmUFCe+Bgqca6jbQywEOikyvk3jZaLFhHaYMrkm6nyu7/j8SciDME0jaiiyl4ANwtjCdAZr37lx/AsuRARnvN4GDplCnJHSn3iU+DwYejYPoq/lx1mRXRNirMvbugYcBdxC3GOXIYR7rxANcz3twM4eOOz6C2WdOH63gWp6mH38SDMQm9L9/EPGOFttohUBJYCdVQTisWu+LdXVWNFJBzTWftDVZ3gs09r0i7ivQdMV9UfReRtjHg3BViPaYB2JNUn50gY8COmudyVeHVnqsdcKI7ENYQrjlf3pbb7xYotp7VYLBZLVlIbIJgoPonuyrpVMdzTI4ao8/LS0s6iRXDvXdHcxwcJBDxgfiEOdVLlaaA6JCl2eDBdVj8TISjjUeQuRORXETlQsZj8DzxPU/vFABr8j9i8pfI8e4ucAf6XBsNjSxKISEGMf+GH6TzUN2c1AGgOLBChcCaFZskeBgMLLnUBz+VNzPfy0PgtXv0Dk6H0Oo7k8VNcllyICFeKMPTttzMu4AEULAiz5gSRt3gBenom4ZP+Eg58wYPyGo4swXiE9QfmAE2BKnj1+fQIeDJURIZKji/1s2QqxYF5IrJKRFZjPDp9vZP7AI+7YzOAB+IEPBEZLyJx3bRvA1aLyEqMr/KPwEfufqEisgtT4lpDRHaJSIIuzb6ISHMgRFV/dDeNxrz3VwMfp0nAA/DqCYw/5FHgBxwpkqbjLow4cTNHd6i1mXgWi8ViyTpEZgId4h7O5Rpu9MzkqtaBfDQ5kNLpuFRVhYkToU8fYgNjzvzwX0yxWQU4ejmmWcAMVOM7XIhwCzAtlSnXAN1UWZuOZ5QrEZGyIlzT/1oZ8r+HLi/D9SsC8QTBf9/T+ZbrWbSJ5bsPM0hV5/s71pyGiPTFGKGXjFtJT9txPIQRPXzF5mhgG3D1pdYgISciQn1gGXCDKt/5O56LARHuxhih11FlDQCOlAM2As/h1Tf9GJ4llyCCBAWxrnVrqsyZQ4BI6sekxqJF0KKF8qXezm2+lxdXEk1/HIwY/TPeNBv8J4x5qBQLkIBxsRrbSdHhwMs65HwrDosl1+FIGWARxjfyGrx6PAvPFQYcB27CayxyciI2E89isVgsWUYMjPd93JafmBfbii2/7ObyqtG89RYcOpTyHKrm4rl1a6J79kSjohhxMiZPpwJ6ZBSq/VF9wlfAc4nrXBgDnHX/TRQalYA1IqwV4XkRqmf4ieZwVHVn9+Y0KZxPK9D4AyPgAT+s8VCtenVtdblULRWBzZLJGL2BL9Mj4LlUSWJbIKZL8RKRBF2QLRcnTwCrMGVLFsPHwAqMQG3w6g6Mb9lzOFLUP2FZchlto6Ko/tpr5wS8J598klq1apE/f35KlizJHXfcwc6dCav3fvvtN1q0aEHBggUpXrw4jz76KFFu6UDz5tDphhjeDnwi4ZkWswOv3o1Xf7gAAe+WQE/ghmJhxTo+0fyJgOCA4OeDPEFLZajUyMh8FkuOwqu7ME0yKmGaXWTd9abJ/jtEDm9uYUU8i8VisWQJIpIvGLp/DglSvpvwB2uiq9H/5Bs89UR0dIkSxHbujL71FvzwA/zxByxeDFOmwGOPQdWqRF11Ffz2G2uAprGxDEqDn900jOfFZOBVoC9wPVALiMBkN4VjyhLmY8oA1ouwUoRnRLgsM1+Lix5HCraoHtCdiHpQ9EoAYmJieO211xj8+gwJDvKEvnBbfOdeSxoRkXoYg/Pxqe2bBJdDsiXfpd15LRcprsjaGXhNFVv24qJKLMYXr50I7X2GXgNOAUP8EpglVyFCz6ZNia5Xz3ebMHHiRA4cOMD69esRETp16hQ/vmPHDtq1a8edd97JgQMHWLx4Md999x2DBw+O3+ehgYEsjm7CpoRrLBnuLCtDpWDAsICPgWnda3cvuL7/+sBX277KigdWeGoVq3WFRzwrZKg8KkMlIKPnsFhyBF7dBLQHmgGTcLL0Pf8vtpzWYrFYLJaEiEgljDdHqTzQ9bTJKnoAqItpLvED8I6gS4BugYHcLkKDqCgizs1BdHAwm8+cYR6m/OqvrLoZdjuBtgK6YHxDimC6yX0BfKHKtqw470WD4xn90cK8D/xT6MGAF158DYCxY8eiqvTt25d7bmnM3Vf8GXt1Da2ZbR3EciqOhOPJ+zsa/ad4o48B1wHVNJ0XXCL8i+lqCCZzNAA4iPGsmQ7MU8WWWl2kiDAGc0NSxTbROR8RpmN8H+vEvz6O9AbGArXs94zlQsiTh11PPUXpF15Ifp8VK1ZQr149IiMjiYiIYMyYMYwYMYING85Z2I0fP55HHnmEgwcPkidPHs6cgfz5Yvgg+l7u4uO43fYAZXC7g6YVGSrXyXiZSSRBXe/tyqejPgVgwYIFDBkyBEXZum8ru7bvIvCpwMXRsdE9dIhuTd8rYbHkMBxpA3yHWfwckCVdyx35DtiLV+/J9LmzCZuJZ7FYLJZMRUTaYrpjKdDotOpPqI5FtR4QDAShej2qP6hyRJVxUVFce/YshYCimHT6cqqEnT5NDVX6q7IsK7NZVIlR5WdV+gAlMcLLcowp/VYR/hDhURHKZVUMfsORRqB9pYI3gMCQ+M0rV65k2rRptG/fnh//+Jcnvsgry7YHTMbJDHehXM1Q0Opo9F0d63EPpvtbegU8D5DfffgPRtiIAR5Wpa8qP1gB7+JFhOLAvcBbVsBLlicwIl5vn20fAeuAN/wSkSVXIELBs2cp3bBhyvv98MMPlC9fnogIs3aoqiT+qo6NjeXEiRNs2rQJgDx5oHaNaP5KmAhdArg1XTEOlabAnLaD2waMeHsE1YpUix9r1aoV8+fPZ8H8Bbw4+EW6dO1ChQIVGnvEs0yGim3IZcndePVnTIfnvmRdZnaOz8QL9HcAFovFYskdiIgAj2C8jr4CeqrqiQQ7acomzaocAA5kUYhpwr3p/hH4UYR+wDVAV+A54E0RfgM+B77KHc0FPF3uHhsrf279kFNnYeFXQ5n7NIxpAbQwe9wzFu5piTSoIPUx2WG54HlnAY7UBXmYhiM9+t8cHd3zm7CoD6I/T+80qsSK0AhTTrtGFRWhInAnxjzdcnHzEKYL6wR/B3KxospmEUYBw0T4VJUjeDUGRwYBP+LItXjjOx9aLOkhHKBQoeR3mDt3LkOHDmXq1Knx29q1a8ejjz7KqFGjuP/++9m+fTvvvvsuAEePHo3fr1CRAI7Gr7EYvoHXbhK5GYjC+PBGpfh7XmIDBweeaVe/XZ7wTeEc5GCScU6aNIlXX32Vpzc8LdsOb1toG11YLgm8OhVH+gDjcOQAXh2VyWfYBTTP5DmzFSviWSwWi+WCEZEQYBzQHXgaeC292UcXI6qcxaT1fydCHkyGXhdgOPCOCAsxJbdfqbLHf5FeCLGvTurDHyntMbFP3G96EK9aAS8RIvIrcPnA6z1n336oQSyVe3v+iaotdQdPo1h+5ovIduBt1bR3QlNlQ6JNU4CPRSiuyt5MDN+SiYiQH+Ox+ZYqJ/0dz0XOcOBu4CngSQC8OhdHZgFv4Ug9vOkrUbRc4ogEL6fO3fVYwZkzSe8yc+ZMunfvzpQpU2jf/pwtY+XKlZk5cybPP/88Q4YMoWTJkvTu3ZtHH32UIkWKxO935nQswZxNMGeUsQnJh1l4CSKu6iC5308TFL0q2jO56GQGhg1MMs4dO3awd+9eKlxRgXnfz/PEaqxdwLFcOnj1fbfR0UgcOYhXP83E2W0mnsVisVgubUSkLKaRRBWgo6rO9nNIWYIqZ4BvgW9FCMH4XXXBNM4YKcICTIbeVFX2+y/SdOLVOJ81S8bx3t+G4flDYu+myQcgHggpQd0rKjP/kW1lILY9Xk0syqWXrzEG6t2AERcesiWLuB9zfT3a34Fc7KgSKcJQ4HURxvl4jz4OrMaUJGekKYzlUsQsJs6uzarWBQKOs2ZNPq6+OuEun3zyCf369eOLL76gXbt2501xzTXXcM0118Q/HjFiBGXLlqVq1aoAqMKatcJNbExw3G3QW1XnpyvcoXLtqgOrftirSa/JfPzxx/To0YMv136JIGcx1x+IyEjgRqA8UE9VV5x7CaQKMAnj63sEuEdV1553bpEKwESgHrBNVesmGu+FEdY9mCZh/TSJSgoRmQ9cCZRR1X3utkrAFuAbVb1ZROZhbCWmuOPPAs8CBVX1tLttA9BfVX9K5WWzXFq8jLHZmYwjkXh1TibNuwvIhyP58erRVPe+CLGeeBaLxWJJGUeCcSTJvxcichXwJ2YFunFuFfASo8opVaarcgdQDCPmHQDeBnaL8KMIvUUo7NdALdmCfsKZRpU9XSncFCLqxG9fs/UwV72U19PhDVkQlkeKXtA5TFbXVLBdgi9W3GzdgcD7qkT6O54cwhiM7+Mr8VtMU4uxwIs4Eu6nuCw5j4eB1h6UxrqERQtjEwyOGjWKAQMGMHPmzCQFPIA//viDM2fOcPbsWb799ltefPFF3njjDcS1gt20CQ4eCaIJS3wPm006BTyXeUGeoENLdi1JcnDKlCl0796dT1Z/Eq3oDB0Sb0/yFXAV5nOTmHHA+6paFdPxeWIy5z6KEdK8iQdEpCImS7YFcBlQHLM4kRyrgB4+j3sCy3wezwNa+zy+GlgBNHXPVxKoACxK4RyWSxHT1GIQ8BkwDUeaZNLMcRUlOTYbz4p4FovFYkkeR1oBZzAXgwkQkQcwK7RLgCaquimbo/MLIjJSRLaLiIpIXVVOqvKVKp2hjBeK/gOVGkOT92HFHhG+E+EeEQr6zFFLRH4RkQ0iskZEJrglyXHjTURkpYhsEpGfRaR0MrG84MZxi882EZFtInLYfTxERMb7jF/lHtPaZ9tYERmema/TpYXnrYDgfEEUbx2/pWTJkmzbto2FC36SmxposUrFmJYJJ5oCNBSheibMZcl87sSI+u/4O5CcgmtZ8DjQVYRmPkNDgbyY5kIWS1qIF5pujp3KjOnKfp+c+AcffJDjx49z/fXXky9fvvifX3/9NX6fF198keLFixMREcGwYcMYP348Xbt2jR8fPx5KBe6jIX/GbfoJ09E+3egQjY6aELV31qRZOnnyZNq2bRs/9ttvv1GmTBliw2P5bddvgbEa68Qfp/qLqu5KPJ+IFAMaYv5OgFn0KSsil513btVIVV0InEg8BtyOyaLb49qijAXuSOGpTMKUxSMiHoyHsOMzHi/iiUgwUBH4gHPCXmvg97isPIslAV6NxQjD84HZOFIjE2aN+/wkeW2dE7AinsVisViSxpFgJOgD8hZXkEE4UhvMRZiIjMNc2L0G3KyaM9PRM0iSq+AiEgH/fggHblTdWgAOXQ9t9gDRwPvAPhG+FaE7tAwABqhqdaAOEIZ7s+peBH8CPOKups8G3k0hnmWYC5w4riFhc5CkVsGXJLHt5zQ8d0tiHLkaYrtLpR4BBOSJ35wnTx7Cw8OhSFPuvOtejY6lGY5EXODZ5gG7MWKR5SLC7Sj8BPCJKjv9HU8O4xvMDdo7IpiUJ6/uB14EHsWR3NcV3JIVlIz75W4mEaoncPtSAKb7bFRUFMePH0/w06JFi/h9vvnmGw4fPsyJEydYunQpN910U/zY/v3wwZgoBkS/Q/C55uDhXIj4dA+9z/Y5Kx1GdaDhkw15cu6TPDn3Sb4+8TUNBjeg36x+BHoCjwNpKSMsC+xW1Wj3+SqwA0jv56ccCa9vtqcyx05gj4g0wfgG/wkc8hlfApRyrVeaAn9gPu9xxc72+sOSMl6NAjoDG4A5mfA34RBwmhyciWc98SwWi8WSHIMQqcy1C4WFXWM4vPqDovnlJoyIVRe4XVWnpjxF7kNVfwHiy2t8qAwcjPOfUd00R0QKgAwB7QHcjCm7/QgWxGCaZXwB+i3IUqCmO08DIFpV57mPxwEvikjeZFaqFwLXiUgJVd2DEfQmcK487XfMBXQZd/W+NTAMIzjElbKUA37L+KtyieJIEBL0PnkKKWePCAe3weYxABw5dooC4Sa5ct7qaLm8FAEgLwH9Mno6VWJEcIDuIjyvSo5vHpOLuAmoBtzq70ByGm735UcxN/9dMaVTAP/DfF5expaRW1LCkfwU4CBHTGZNGCd5LnoIj7/6Fjfe6KHJBRbhqULve6PJf2Y/fRnjO3ShmTy/BUjAvPHLxxdLboeY2JhvdIgm06bjomEC0AuIwCxaxr8uqnpWRBZhrj0qAvNV9W8RKSMied3tvbI9YkvOwqsncaQT8AvwA460cBd7MjKX4sgucnAmnhXxLBaLxXI+jlREAoauDLrPM7jzAM6e8ASW90Q17tKUde/9yCGgmaqu9neYFxmbgcIicqWqLhaRG4FwoIIqf2G8aSa6Pnm3YAS9j+F4FJSJghvHiRBKolVwVT0mIkeBUsDWZM49BbjbzZBshPG6ecU9/qyILAauFpEvgIqqOtstC86LWQX/zZayZIhoPEF7ur+9r/yybVMCTp9FFvz8Xey8ZwNP/LgkNvDF6TF584WI5glEP7gv8BSBeQ5mwjk/Bh4FmmMEXIufcbPHngS+UWWdv+PJiajylwiTgNdE+FqVU3j1DI48AXyJIyPxaopdtC25DEdCcBe1kvmJAvJjSjnvozN5fNugPMwIZtOJLre04JffgihfPuOhDB8O387yMI87KMiR+O0xsCkg49OiQzQWaHMBU/iyEygpIoGqGi1mpbEcJhsvPezALErGUSENc8zAVGacwZQY35VofB7mWqMi0Nfd9jsmu6o0kLQxoMXii1cjcaQdxj9xNo60wavHMjhbju5Qa0U8i8VisSTEEUECR58JLucZOGoN06bPoGDBguifD3NyzXvhlxWPbjLwY93s7zAvNlT1iIjcDrwiIvkwmW3rMDcbPvtxENNxcbzI4lJwz/fQKgJGDwL6wf+Ww6thIoSociqNp58E/AgcB74AYhONx5XU/oMpZQFzAd3M3T4PS/oxpsstpnQ9f+j2O+D2d7PkrKuANZjMJCviXRy0AhpjhFVLxnkW2IRpUPCqu20q5obtLRxp6X7mLJcGj2IaLKTGf8ArNGEc43kJVyTyoHwa24U2+3+heZMqTPsmiMaN0xfA6dPwxOPK/0YJY+hHK35JMN4NanwlchswzS1f9Ruquk9E/sL8bZiI8erbpapb0jnVVGChiLwA7AX6cC47NrlznxaRgcBJVY1NolJhnjtPtGp8p/YFwHPAIlU9m84YLZcqXv0XR67F/F34DUceABZn4G9Djs7Es554FovFYknMzWj09UsCHgzMX6Ag99xzD61ateKbf5oSGl6Igdd7nvF3gNmFiNwlIivcn3tT219V56lqK1VtgLkBKQVJZ+aISBA0Hw2bl8An5TAXE09AjVDIVxfjoTdFZGNXoADmRiW58/6LEeiGAB8lsUvcKvjVGC8aMBfQcdusH00OwS2hnQJ0cbuhWvzPYOBXVRb7O5CcjCr/Aq8DT4tQHPDtTngVtlT5UiMt2VkbgCp49VV66yFU+2EWpiYBvxfh4A9fRt8y8OBB+aVZU+Xhh5QDB1KcDzDls3PmQJ0aZ/nwvTN8gpc+jEuwzx4Y+ZVZPPsKmCciddP39DKGiIwTkV2YLKI5IuIr0j0APCAimzDZwff6HDferRBARELdOb4EaojILhGJy97firmWWARsAfZDoiefBKo6TVW/T2Z4KabU1jebdgFQBXv9YUkvXt0M9AeuwCxmrsWRAen0Hc7RmXji50UDi8VisVxMOJIPCdpM+S7FPv2ng+eJJ55g1apVAFx55ZUs/uIJIlb3BGiFV39Jca5cjohsxzT1WOGzraSq7nZ/fxG4XFXP61wnIoHA58BhoLfvCr5pbBG4FV7/FgbWhzevhEVRMN3BZNnNdTs64q6UF1TVR0SkIVBfVd8XkQrAClUt6O4XhDHy/Q+4UVU3iEhVYCZGaIxQ1XinbsvFjQhlMaLtrarM8HM4lzQi1AFWAB1VmeXncHI8IoRhsvG+VaVP/IAjUzCZwzXwXvT+YJbMwBHBCEmNgcRVqzGY8tEGeDUytalE8IzlgSNPBbye7zj5uOUW6NApgLp1oWJFCAqCQ4dg9WpYsgQ+nnCWzduD6eD5jtGxfSh/rpp0B6bJxIeoLjFzS1NgBMbK4gPgOVXdlwmvgMViSQ5HAoCjQKi7Jcb9+RLzOfwlxew8Rx4EnserRbM40izBZuJZLBaLxZcXCMhbhHpveQoVKkSTJk2IiIggIiKCOnXqsPlkDShxbQwS9AGOBPs7WH+Qyir4MBHZ4G4rj49Zs4gME5G4m9KumKyShsByN9NvNICqxkL0HTCoFUhReP53eOJV4HJgFrBHhA9FuA4C4/+Oq+qfqvp+UjG7At1CIDyulEVVN2E8+xZmp4AnInlFZIaIbBKRlSLyo4hc5jP+kYiscl+TpSJyTTLz1BKRX9zXe42ITBCREJ/xJu78m0TkZxFJsmxCRF4QERWRW3y2iYhsE5HD7uMhIjLeZ/wq95jWPtvGikhaSr8uGLf76XygR3acz5IigzHlzbP9HUhuQJUTwNPAfSLxzX5wt5UCBvglMIs/KIoRdBMLeAqcAq5Pi4BnDhB5gPfz7YgpzdiY+9g9Ywn33RtFnTqQPz+EhECpUtCuHYwdvo/rtr/PX9RjZuwNvgIewAOo3h8n4AGoapw1xd1AJ2CziAwSuTSvkSyWbMGrMRhBPc4+JgAIxvhNzwe24khKDZF2AUVwJG9WhplV2Ew8i8VisRgcqQKygYK1PRRvw5HjZ2h9/5csmXQHAA26f8JPY26nWN79sHMawEC8+q4/Q77UEKEixgi6K1AfOIjxr/kcWKBKjB/DSxNuM402wHeqqiIyANPpuLU7XlBVD7u/18OYZBcx4maCeaoAIaq6SkQCAAdYr6ovmGxGNgH3qeo8EXkMaKKqnZOI5wWgI7BbVTu529piGoNUUdWCItISmKCql7njzwEdgO9V9QV320agj09X4SxFhJ7AGKCEKoey45yWhLifxy3APap87O94cgsieDDld/tVaR8/4MiLGBHvMryahqJIS47EkRrAQMwixXH3pwznxDzFCHhz0jWvyAZMB2kAoghkPZezk7LEEEAYJ7QWq6UYyTa8XAvUIoWbZ9cP90ngMUy29KPALH/75VksuRJH+gCjOF/oj+M3vHplMsc2xpTsV8aryTWNu2ixIp7FYrFYDI6E4MkzGyR/3KYPfoqOGDM3plhUDHJPq4ADj3YIdG+cFGLP9MOrtqOYnxDhMsyKYxegDrAP483zBbAwJwh6AG4Z8FeqWiGJsdbANJIQ8ZLY9zGgpqreIyKNgI9Vtbo7Fo7x9SmYuAtvXEkycB3QRlX3iIgD/Aq84op4wZjS56qquktEfgLeAp5Q1dYiUhLTOTgiu7r8ilAAYzr+oCofZMc5LQkRYRQm8+YyVWw5eiYiEt9w53pVjM+WI+GYLuBf4tUH/RedJdMxpbNtMKLX9Zj/57eByUA9EjbxeQSvjkj3OUwm/JgU9pgFfIcpjU0gChyB/QWgOZq2pl4iUhHj73g7JltokKraztUWS2biSGXMQlpiYjBNwG7Eq7vOGxWpSj4GUpQ+7GEjp5gNjEN1Y9YGnHlYEc9isVgslhyOCNU5J+hdAezGCHqfA7+pntet9qJBRD4GIlX1YZ9tr2IyDiOA21LLbhORMGAZ8JSqThfTLfB+VW3ns88+oKlr2u177AsYEW8f5sJvHCYLqB3wl4+v4FyMWfoXmIy/Sm7ZdE1MaXRvVW2T0dchI4jwBVBclVbZeV4LiFAMk2kzWJWR/o4nNyLCdKAqUEfV7fLtSG9gLFATb3yXS0tOxdhydMU0L6kL/IJZIJmJ12fhxpEfgbbAh8B9GepSbFqmjsE0f0jMCqAdqvsQqQT0xCyOnR4CBd+A2qdMZvbRdJ6yFUYUrAmMBoaqJlMC7EgtPHk+IvbMULz6bXrOY7Fcsjiyk/MbVPwEdMSbxKKqSFfM4kDicvco4B5UnawIM7OxnngWi8WSDCIyUkS2u95XdRON/eDj2/WrW/aX6lgy5xHXs+uwz7YU/b4SHZ/jPL0smYsqG1QZpkpNzM3CB5jMsoXAPyK8LUITEcSvgSZCRJ4GLgOe8t2uqk+qamWMKPl6St5C7tjnwA+qOv0CwpmE8TS6EyPUJRY+52G6HjbhXIe9OC+k1u54djMFaClCeT+c+1LnQeAERlSwZA1PYES83j7bPsJ0/H7DLxFZMgdHInBkMCaD+SNMl9lGeLUVXv0mgYBneMD96ZchAQ9AVVHtQ2muozVKQdYC04E7gKbENaNQ3Yrqs6h2QrXzMOh2CoKAZzJwygVAA6Cve57NItJfTHOrczjiQYI+IDaqARL0vpt1arFYUmc2EI25ZosF/sRcl5l7L5HSiDRBpALGG/ljzhfwwHzGJyFSNluivkCsiGexWCzJ8xVwFSbbIjFdVLW2qtbFlHxMTONYUgwE/k607TQwwC0HrAOEYQzUk2MZZuU4jmsAX8+gOAEijqsxXhCJt/2cSqyWixxV1qoyBNMIoy5mxfFGjOC0TYTXRWiQXYKeiNzlCtorRORen+2PYTLYrlfVk0kdq6pzMc03aiUzdxBGwNsNPOwztAPOCVtuOW0BTHfeJFHVfzGf9SGYm8rEzMN8Rq7GmCYDLPDZ5o/PzvcYX8Q7/XDuSxYR8gH9gf+5jRgsWYAqmzF+R8Pc8vE4M/NBQEccaevH8CwZwZGKODIC01n2Gcz3d2W8egde/TPZ47y6Fa++j1fPXnAMrxPIfQijaYvqrah+hibf8VhVDwIvAI+ISOX0nk5VY1T1A6AK5m/Lu8AK13s1jnvR6Ma0ngUBeYu457NYLKnzIxAIHMMsXl8JzONvvidUfsd81/wObHP/DYo78Bj52MxlbKAauymBmnn6ZvszyABWxLNYLJZkUNVfVJPwUjBjh30eFsAYLac6lhgRuQK4GXg10fybVXWV+3sMpryvQgrhLgQqi0gJ93FPYILP+O9AKRGJSzlvDQxz/8X19CoH/JbCOSw5CFVUlZWqPIO5eWiIuWHqjFmp3CzCyyLUyUpBT1Unq2pd9+cjABEZhMlKuNb38yIiQZKwU21joBgmWyMBbibDZ0AkpnTW93O2DAgSkavdxw8A36bBr+454FlVTcpjZakby50kFPG6ASU5l52XbahyFvN/2uNiy7LM5dwH5MEITJasZTjmxupctq5X52L8y97CkeQMzS0XE440xZEvMf5Vt2AWS8ri1UfxalILpVlJS2ATXt2TjmPGYBZb38zoSVX1iKo+hrG82Ab8KCIHgwNl+ZUvMG5pVBfRku3oO6NeYIuhDCoQKn+414gWiyV5ZmHueerh1Z/wahQDeYXh5OMUTeDctVEsUuYn2nC3TKJK8Hbyc4yqbOZyNlCK3RQNPETDwOW9RXhAhPzJnvEiwHriWSwWSyqIyHbgZlVdkWj7ZEwGDsANqro6LWM++wRhRIBewClgRZz/VqL9Evh9JTH+AjnU08uS/bhiTyOMD1EXjJfIJowY9IUqa7L2/FIGszK6FbNyCnBGVZuISChmVbUApjziBPCcqv7sHjsM+E9Vx4rInZhy0lWcE8oXqWp/d99mmM9CXkwGXg9V3ZlEPC9gGl48kmh7BRJ9JkXke6COqpb02bYbWKmq7fEDIjQDFgMNVPnLHzFcSogQjHnvTlVNkP1pySJEeBjTJKC6KtsAcORyYDXwAF61Jc0XI0ZgvQnTrOJKzOLRW8BUvOqfRjCOlMCIcWvwapP0HCoi7TGNL66J+5t0IYhIF2DYxD5SpX6VgjzwZRXP4Cef5puvv+bDLmui165evr7mE9GRcZ3bLRZLGjHXau18N31POx4KHMPm6Io0rhdF+05B1K0L5ctDQAAcPAirV8OihbE642uPxsQQFRvL68DLqmRLw7L0YEU8i8ViSYXkRDyf8buBrqp6QzrHXgQOq+qbSQkG7j7BmO6cW1X1oWTO/wJGxHsDI4CMBkphfNFW+Ih4zwCVMEJeP1XtJiJTMJ5OdwA7VdV64l1CiOABmmIEvc6YjLJ1GKH3c1WscfxFjivKbga+UWWQv+PJ7YhwD+a79TLVJK0WLJmMK5yuAf5SpVv8gCOjgNuAqnj1WDKHW7IbR8KAe4FHMNcc32LEu18z7GeXOXHlw1Qb1AQi8Wrh9E4hIrMxC1/1VTX6QkM6PF5aFQxl/t9lRnDPM1/SqVMn8ufPT5+uTeG7+hp2rx47eZaiqplQRmyxXAqIFMLYjABwkhAekA+Yondy280xDBkWQK0kDVrOcegQvP8+vPACMTEx7IiK4hZVVmZx5OnCltNaLBbLBaKqk4CrReS8C8KUxoBWwIOuSLgQyO820igKKfp9JRdHTvT0svgRVWJVWexmFJXBvCfnYTxB1ouwUoRnRLgsxYksfkMVxWQkekUITG1/S8ZxRe8ngE+tgJd9uGXjjwNd3czTOIYCIZj/E4u/caQUjryMybSOW1Ssjldvwqu/+FnACwS+xHjFAhTCkQoZmGmQO0fv1HZMQ0xBBcOCxkUVbRPT/+XZPPvss9SpU4c5c+YQW6A2f0R1k1NR5H/0Bqpc8LkslkuH+CaAx8jHdQE/MytfF775Br6anrqABxARAYMHw8aNBDRpQrmAABaL0Dwrg04vVsSzWCyWdCIiBUWklM/jmzGrPpEpjSWeR1VbqGp5Va2AaaBxVFUrqOr+VPy+UiJHeXpZLh5cQe8XVQYApYE2mKyFRzD+eX+JMFiEiv6M05IknwDFMQ1tLFlHJ8wN/Ov+DuQS5BvM36134v0fvbofeBF4DCdndBTMlThSG0cmAtsx9iDvYPzu+uLVTf4MDQBHBFOhcB0Q56EYi/kbly5UdYM713ARKXiBkQ2MidUqd40LCbjpppto164d7dq1o379+lx99dV8uDAvV5QJ4JWu8uQFnsdiuZT4D9iiwJ2eT9lcoAG//hZEp07pn6hcOZg7l4AbbiBPQADfi5xrmOZvbDmtxWKxJIOIjAM6ACUwQtwxVb1MRMpjVnRDMBeC+4HHVHVFSmPunOOBb1T1m0TnqkDC0tcU/b4SHfsCOdjTy3Jx42Z3XY0pub0ViMAIwp8DX6qyw4/hWVxE+B3YrEoPf8eSG3GFo0VApCod/R3PpYgI9TG+al5VPgPAkTzAemARXrXv/ezCCGPtMH53bTE2DG8Dn+BNtYFQ9uLIk8AribbGAJ/j1XR39haRCIyFwWRVHSRDRTALKAt1SBqfuyPlY/Fs7P1xyTxV67bhyf63n7fLX6v/ZsSoMUy6czPA1Xh1fnpjtVguSUR6juWBD/vJGObPF1q2vLDpTp2COnWI3raNP6KjaalKTOYEmnGsiGexWCwWiyVNiBCEuWHrgukwWACTrfcFRtD714/hXdKIMAB4DSiuynF/x5PbEKEF8AvQQpWF/o7nUkWEjzAZVNVVOQWAI7djFs8a49Wlfgwv92NE0zsxZaVXAD9h/O7m4NVYf4aWJI54MZnKSXEQKJqRMl8R6QeMoA4tAm4NeCJGY24J8gRtioqN8uoQXZaGuC779i82dB5JQFPXrKJQGEx8AG58GzwCxQvAqLuhcDgAN+DV79Ibp8VyKSJCvtDAMwf7D8wT/Hom5c2vWAH164MqXVX5InNmzTi2nNZisVgsFkuaUCVKle9UuRdTvnkjptPfMGCXCL+KMECEEn4N9NLkcyAYuNnPceRWngQWWwHP7zwLFCGhT+xUTJbk226GmCWzcaQwjjyL8d0dB/wF1MOrbfHqdxepgBdC0v7AcRQGqmdw9vepyb+BHQN/KRpWtNMnt35CkzJNKguyRIbKEBkqQSke7dUtneoTenoieec/a36mDSRv/lDz+8/PkPfTAeQtHE5eTIf175ObSkTuFRF17VvitjUSkUUislJEVohIqqXDIjLUnaeuz7YqIrJYRDaJyFIRuSKZY+9xjx2YaPsCd3tBEblbROb6jJVxx+7x2fakiHycWqwWSyrcHe3JE/iEj1vq0KFDqVy5MgUKFKBIkSK0a9eOFStWxI+fOnWKzp07U6VKFTweD88++2yCCevWhRtvJDYoiMez5ymkjBXxLBaLxWKxpBtVzqjyrVu+WQyTmbcLeBX4T4R5IvQRoZhfA71EUGU/5kavu79jyW2IUAu4AZPpaPEjbrbv68DTIhQHcDOpBmG8ZW/1X3S5EEeq4Mh7mGYVjwITgQp49S68xibkosWrp4AXgMXAGZ8R366y6fYRlaFS0DPUM4HbKX9H/TuC1vdfH+it5WXBPQsC3m73dkBwQPDzQZ6gpTJUaqQS31m8eiaNP0lmC7q2KfcBv/tsE2A6MERV62Ay5yeKSEhSc7jHNAYawXkNe8YB76tqVcz338QUntFy4G6fOS/Dp8kApmlWMxEJdh9fDSwBWvvsY5usWS6YoCB6dOmCFClyblu3bt34888/OXLkCP/99x/XXXcd7dq1IybGVMaKCFdeeSXvv/8+jRs3TnLeAQPwREXRUIQK2fA0UsSKeBaLxWKxWC4IVU6rMkOVOzCCXhfgAMYjabcIP4pwnwhJdWm2ZB5TgGttJmSm8wTG82umvwOxAPAmcAzTndbg1T8wZZOvuyWfloziiOBICxyZAWwE2mMyUcvi1Sfxas6xTfDqK3i1OZAPk635JzAZ2ITxLT6RnulkqFwb5Ala7/nI0z383XAqrapEwbwFAYg6G8Vv7/xGzW9reoI+DKota2SVDJXHZKgEpDxrxhARDzAeeJCEImVhoKiqzgVQ1U3AYeD6ZOYJBUYBDyTaXgxoiPm7AibjtawrziXFDmC/iDRyH/fEJxNSVXcAe4A4haQ1Rhhs5p4vCGiOEfsslgwhQlBsLHVbtSJBVna1atWIiIgAQFUJCAhg3759REaavoN58+Zl4MCBXH311eTNmzfJuZs1AxGUc+9hvxHo7wByAsuWLROM708EYNP0czaxwJ4GDRpcXKa7FovFkktQ5STwFfCVCPmAjhhR73/AeyLMxXjozVDlkP8izZV8i7kp7Qa8699QcgfuivsdQC9VLr6SwUsQVU6I8DQwQYRRqqxxh57GiE4DMD5tlvTgSCBwGybjrhEmu6sLMB2v+t3IPROoDTyFV0cD4EgoXj2Z1oNlqAR5xDO1YamG+d77/j1Z8dsKtm/fHj/+3XffERISwrIly4g8HCkVqlUIOFbz2BsY39hFmftUAJN9ukhVl4lPFbmqHhCR3SLSRVW/cEW1apBs9tDrwBhV3SkJq9HLArtVNdqdV0VkB1AO2JLMXB8BPUXkL8x7pyHwns/4PEy23UJM5uzDwCARqQiUBPap6va0vgAWSxJUjIkhT7165w/MmjWLO++8kyNHjiAiDBw4kKJFi6Z54rAwqFSJqL//phb41xfPinipsGzZsuIi8oLH47lWROzrlfPR2NjYyGXLlt3XoEGDv/wdjMViseRm3AYLnwGfiZAf46HXBVOiM06EHzBebl+rctR/keYOVDkpwlRMSe27fg4ntzAI2A186u9ALAn4GHgIk5VnOqt7dQeOvAU8hyOT8OoBP8aXc3AkP9ALI6iUxZRiPoxXf/NrXJlLXSAcWBC/JR0CHoAO0SjPUM+MMzFnutWtVjdoxW8rEoxXrVqV06dPExsby8njJwnNH8ppz+n9UbFRvyc9Y8YRkZoYwTW5vps3Aa+JyFPAWoxoFp14JxG5FiivqgMyKbRpwMsYe40lqno4kTA4DyPyTQIiVfW4iCzAZOWVxGbhWS6cvAD58p0/0KFDBw4fPkxkZCSTJk2iTJky6Z7cnTfZ0vTswopSKbBs2bIAj8czPTQ0tGLx4sWPBgcHnxIR2843B6Oqsn///hKRkZEfLFu2rLnNyLNYLJbswRXppgBTRCiIucnoCkwAYkT4HiPofWu7q14QHwM/iXC5Kuv9HUxORoQiQG/gaVXO+jseyzlUiRXhUWCeCO1V443/X8P8nw3BlBlaksORshjh7j4gAPNdPAKv/u3XuLKGlkAkpiw+wyjq/LX7rx5/R57/ElWuXJkzZ85QrVo1Dh8+DDcSHRUbNUWHXHgWo4jchVlQABiBESoqAJtdkawE8L6IlFTVMaq6kjhx2xy/HiPmJaYNUF9EtruPywCzReQBjF9dSREJVNVo12uvHKZsNklU9bSIfAeMwWSEJ2Ye8IEbW5ygugDogRHxJqbwMlgsaeEUwLFjye9QqFAhHn74YSIiIqhatSp16tRJ8+TuvOlaAMgKrIiXMmU8Hk/JMmXKHAwLC7NiTy6haNGikYcPHy4UGxtbAtju73gsFovlUkOVw8AkYJLrk3czRtD7GIgSYRZG0Jutmj7PIgsLgH8x2XjP+DmWnM4A4DTGd+o8RORejPBxi6rOcLc9jTF3rwLcGrc9meMHu/uedc/zkKr+4Y41Ad7HrPjvAnqonu9FJiI9gccwnli9VPUvd/swYIOqOul+1jkEVeaLMAN4S4S5qkTj1WNuF9WxODIar27wc5gXH440wJTMdgH2Aq8A4/BqbrY3aAn8mglddH8K8gQd/mzNZwVLUzrBwMSJEylevDjTpk1j7pq5XNfmukC6Me0CzweAqk7GePn5MibuFxGZD7zr8z1UUlV3u7/fh7FZOK9hhKo+BTzlM8924GZV07TELYvtjhHXbgN2qWpypbRxvI3pWp/U+f4TkZ2Y76yH3M2LMd91RfFpjGGxpBuRImcIGhkRcJTly/PSsGHyu8bGxhIVFcXmzZvTLOIdPw7bthEErM6cgDOObWyRMgGAeDwe64GSi3CzKQX7/rdYLBa/o8pBVT5U5TrMSvwjQCFMGe4+ET4T4VYR/5cv5ARUiQEc4E4R+3cuo4gQhsnkGpVUZmhSXSFd5mIM5H9JeX6pC/QDGqtqXYyx/Ch3zINp0vCI2xVyNsmXRz+H8S97GOMJh4hcAdTOzQKeD08AVTHZd3F8hMm4esMvEV2MOOLBkU44Mh/T3OEKTOOBinj11Vwt4DniAVqQymcyLegQjYqKjfpsyqopUUmNFy1aFBFh1j+zIJpoxrPyQs+ZQe4XkU0ishnohFloUAAR6eOK/GnhAeABEdmEaW5yb2oHqOpmVX0z7nxJMA+oiCnxRVVPYBpe7FLV/9IYl8WSEJEA4Idgoto3kL9YMC+hfDNixAj27t0LwP79++nXrx/BwcE0b948fp8zZ87El8THxMRw+vRpzp49l4S/aBGoIpgsVb9iL+4sFovFYrFcFKiyX5VxqrQBSmNu0EtiGmXsE2GKCDeKYLtPpswUoDym058lY/TGZMH9L/FACl0hUdU/VHVrGuZXIAgIcx8XxGTcATQAolU1zh9qHNBJRJJqmReDKa0LA866sb2DEfVyPapsxoifw0QoAOA2YRgEdMSRtn4Mz/84EoIjD2BEzW8wpWbXAnXx6mS8eimUiV+BWRhakNqOaeTTDeM3BL346otMnjyZtm3NW6xHjx6sWbOGli1bMrrvaOUyftZTmkJRX+ahqq19s35VdaiqVlXVKqp6o6ru9Bkbq6rPJzNPhbgsPPfxRlVt5s7VUFWTzEBS1YmqenMyY6Kqh30e91HVIFU97rOtmapWT/sztljO42agHoA3ejJffaXs23du8Mcff6R27dqEhYVRu3Zt9uzZw9y5cylZsmT8PtWqVSMkJIRff/2VV199lZCQEK677rr48VGjiAkKYolq8iXl2YUtp7VYLBaLxXLRocoeYDQwWoTSmFKersDXwFG3jO5zYK71K0uIKqtEWIXxGfrV3/HkNEQIwpQbfqjK/iR2SbIrZHpQ1ZUi8g6wTUQiMWJgnEl9OeAfn32PichRoBSQWCB8AvgROIbJmukHzFLVf7h0GI4pw3sKky0EXp2LI7OAt3Ckfi7prpp2HCkG9Me8H/JjhP3b8GpSvmgJEJE8mO6+7TBl3itVtbs7th3zXj3l7v6Kqn6exBwezjUdiQYOAvfFlWKKyOOY/zMPpqPwvb5Cj888mVEu3hLz+cisrLiFQbcF7ctTOE/RsvnLxgK0n+Laz90GEi0S/U+0h3MedhaLJeu5Pu6Xu5jMM/oar7ycn3feNX+jZ86cmeoEvt2mE/PnnzBrFgGqF0eGtxXxLBaLxWKxXNSo8i8wEhgpQjngdoygNws4JMJ0jKA3T5Uky5wuQaYAz4jwkCrW1zd93IERzN5KPJCGrpBpQkQqArcCl7k+UQMw7+Gr0jOPqk7DdIRERMpiGsa0F5GXgcrAFlXN1d6IqkSKMBR4XYRxqmxzhx7HeBfdA3zor/iyFUcux4hHPYDjGN+00Xh1TzpmeRWTKVpVVVVESiQa7+qbrZUMN2IygeuoapSIPIvpWtrF7Yh6L9DEFaifBV7CiI6JeQ6oiclOfRq43adcPMlssiRoCSzCq+d1Z80IOkRjZag8tW7/uhbr9ifbJ+OQDkldMLVYLJlGfP1sKKd4PXoQvUd8SMdOcM01FzbxiRPQtStRAQEsjo5m+oUGmhnYctpsJDY2loEDB5YqVqxY7ZCQkHoNGzastnTp0vjSiDFjxhQKDQ2t5/sTGBjYoFq1ajUSz1W/fv3q48ePjwBYsmRJSMOGDauFhITUK1asWO1BgwaVio09Vwfer1+/0lWrVq2RL1++ekWLFq3dqVOnilu2bAlKLs5Tp06J1+stV6FChZphYWH1ihcvXtvr9Zbbv39/gO9+qZ03McePH5frr7++Uvny5Wt6PJ4GDz30UKnE+wwaNKhUQEBAA9/XoFOnThVTe20tFovFcmmgyg5V3lalCcZX51WgDjAH2C3COBGuEbnkFyo/xWTg3ODvQHISro/gE8Dnqkk2v2rBua6Q24GmmK6QfdN5qtuA1T4eUB8BzUUkGNP9sfy5mCQcKACk5hc1AiPgtAZKqWpXoIyIXJ3O2HIiYzDZi6/Eb/HqemAs8CKOhPsprqzHEcGRa3BkNqZsthXGW7QcXn0uPQKeiIQBvYBn4jzNVNMlAMahQB4gr9vVND/nysXrAAtV40tNZ2NEx6S4sHJxRwQj4l2wH54vOkQn6BC9N4WfQSJSRUQWu950S13xMUlEpJeIbBaRv0XkAxEJSstYojnmi8hZESnms62SiMSKyAz38TwR6e4z/qyInPYt1ReRDSJygbKHxZKNOOKhI4d9N/VkArd5ptH1tihWXkAO7unTcPvtxOzYwanoaLqrclH0SrAiXjYyZMiQ4p9++mmRmTNnbt6/f/+KJk2aHO/QoUPVI0eOeAD69u0befLkyeVxP4cOHVpRsGDB6K5dux70nWf79u1B69evD+ncufORQ4cOeTp27FilSZMmx/fv379i5syZmz/55JMiw4cP9/0C58MPP9x+4MCBFevXr18L0LFjxyrJxRkVFSURERExU6dO3XLkyJHlf/zxx/pt27blveOOOyrE7ZOW8ybG4/HQtGnT46NGjfqnVq1ayXYbrFu37nHf1+Hbb7/dlty+FovFYrl0UWW7Kq+r0hDTDfRtoAmmucC/IrwnQisRAlKcKBeiyi6MgXj31Pa1JOAGjIfWa0kNquoYVS3pekdVwDS2uF9VxyS1fwpsxYh2+dzHHYFNqnoWWAYE+YhvDwDfqmqyGZUi0hVY73pWhWFEFDDZCfmSOy634JbUPw50FaGZz9BQjLfhE34JLCtxJBhHegB/Yb7zwjCZmNXx6li8ejIDs1YGIoGnReRPEfk1CUFnsoisFpEPRaRoMvN8C8zHNCzYDVwDxGXOLQPaikgJV+C7EwgXkUJJzBNXLv4kMIz0l4tXAUqQeX546WEc8L7bnOY1TIfX83CzcodjFgguA4oD96c2lgxxNgpx9MS83nHMw4j8cVwNrMAsRiAiJTGLFItSe3IWi98x34HXA3/Rjccozd64IQEmxfag1vHfaNk8mi+/hGRbrSTD339Dq1ZE//gjp6Kjuda9rroosCJeNjJhwoRi/fv339O4ceNT+fLl03ffffffqKgomTJlSsGk9p80aVLBEydOePr373/Ad/unn35a8MorrzxaoECB2ClTpkTExMTIu++++2++fPm0cePGpwYMGLBn/Pjx8WLa6NGj/23RosXJvHnzapEiRWKeeuqpPRs3bgxJnFkXR/78+WNHjx79b4MGDU4HBgZSvnz5qH79+u1bsmRJ/CpmWs6bmNDQUB0yZMi+Tp06HcuTJ086P0YWi8VisSSPKltUeVmVukB1jNl9S8yN5E4RRorQ/BLr2DoF6CBCUjfHlqR5EvhOlVUZOdjNbNkFNAPGi8iuOKFDRIaJSB931+mYRgN/ishKTGaRF0BVYzHi6wi3K2RHYGAK54zAlCIOdzd9DxQWkVUYQ//vM/JcciDfYD7v74hgjJC8uh94EXgMR8r6L7RMxJGCODIYIwR/BGwAGuHVVnj1G7x6IZkigZgs0HWq2hB4CPhcRIq74y1VtTZQHzgATEpmnoaYMtjSmNL0nzBZkbgNW94EZmJE8DjfyfPKXVV1mqrWV9VWwAmMSDlKRF4Wkc9F5KVUnk9LjK/fn6k+80zEzYZriPkOBpgKlBWRy5LY/XbgG1Xd42Y/jsWU9Kc2lhSTMF6Dcb6EXTHdyuOIF/HcrN+KwAecE/ZaA7+ntGBgsWQbjtyDIx/jyLc4shBHVuPIPzgSiSNnMV6Zs4FdCHX4l8swn4GzAGGcZHZMu+hWJ7/f1qULdOhAzJ9/pi7m7dsHw4ZBjRrELl/O1pgYmqryRxY/23RxKV3I+pWDBw8G/Pfff8HNmjWLz0ALCgqiRo0aJ5cvXx6a1DHvv/9+sQ4dOhwqXrx4AjPeb775JuKWW245DLBixYrQGjVqnAwKOpdZ3bRp0xO7du3KExkZmeT/7+zZs/OXKlXqbNGiRdNs8jtnzpz8l19+eZyJbZrOO3bs2ELh4eF103qOONatWxcaERFRp1SpUrU6depUccOGDcHpncNisVgsly6qbFRluCo1MTeSHwDXAQuBf0R4W4Sm8Tf6uZepmEyszv4OJCcgQnOMj1eSWXhJkURXyBdVtYyq5lHVIu7v+92x51U1TshQVX1KVaurah1VvVJVl/nM85uq1na7Qrb27S6ZRAyHVLVl3I23qp51O1LWVtWbVPWS8IlURTENSRpjxIs4/ofJBnvZH3FlGo5UxJERmLLUZzAeipXx6h14NbNEqh2Y74xPAFR1ObANqOU+3uH+GwW8i8kQS4q7gJ9V9bArSk/CZH3hHv+e2+20CUZ43aWqR1OJLSPl4i2B3/zQhbcssFvV+PC5AtwOTNOaxCRoZANs99kvpbGk2AnsEZEmmL95fwKHfMaXAKVc/8ymwB+Y1z/uNbwa+DnFZ2axZAemFH4YZkGrI+Zvc03M+z8C090dYAxe7YhXV6N6HNV7MIsHtwC3hXC63DexHSsBbebOZUujRlCrFlGDB8Onn8LixbBkCXz3Hbz2Gtx4I7GlSqHDhnHy7Fmej4qilioXnb+lFfGyiUOHDnkAChUqlEA4K1iwYMyxY8fOy4hbunRp3mXLluV78MEH9/lu3717d+CKFSvCunXrdhjg2LFjngIFCiSYs3DhwjHuOc+bd8aMGeFvvfVWqREjRqS5a9moUaMKT58+vfCIESPi2ymn5bx9+vSJPHbs2Iq0ngfgjjvuiFy5cuXagwcPrly0aNEGEeHaa6+NLzm2WCwWiyU9qLJWlSHA5RgvpskY0/XfgG0ivC5Cw9wo6KlyFNPN15bUpo3BmMygTPXPsmQfqvyFEYxeEyEEAK+ewZRldseRRn4ML2M40hRHvgS2YG5MhwBl8eqjeDO3C7GqHsBkzbWD+HLOisB6EQkTkYI+u98BLE9mqq1AGzfbC8xN+Jq4QbdsExEJxdyov55SXBdQLp7pfng5gAkYX8Ne7u/xuOX6izBCaGtgvqr+jRFD87rb5mVjrBZL0nhVMR3HkyMG89kecN6I6gFUZ6A6DdXdZhPzoqK4HLhq7VomjhjBpjvvJLZ5c2jaFG64AZ5/nn2zZ/N9TAz3xsRQTJWXXKuGiw4rjGQTERERsQCRkZEJhLXDhw8HhIeHn5cRN2LEiGJXXHHFyVatWiXws/jss88KNmjQ4HiRIkViAMLDw2OPHDmSYM6DBw8GuOdMMO+nn35aoEePHpXHjRu37fbbb09ttQuAN998s8izzz5bdvr06ZuaNWsWn4mXnvOmh0aNGp2uWrXqWY/HQ8WKFaM+//zz7fv27Qv+6aefcr2fi8VisViyDlVUlVWqPIPxSWoAfIbJUlsKbBHhFRHq5jJBbwpwlQi2SVQKiFAT6AS85mZ0WXIuzwJFSNj8YCpGvHjbzfC4uHEkAEduxZFFmAWHihgxvjJefQuvHsnCs/cBHheR1cAM4AFV/RfjxzZPRFa5Y60wGXcAiMh4EbnRfTgak8G30i3rvgbwbf7yg4isBVZiMqRHJRdMhsvFHSmPKQ32hx/eTqCkiAQCuN5/5TDZeIlJ0MgG40m3Iw1jyTEDI8LWwQiyiZmHybi7GpOFB2bxojMmg2lJKvNbLNmFg/neTmwRoMApoHt67APc68BFqtx/+jTVVAnDfC4rAoXPnKF4dDQdVJmkSrL+/RcDVsTLJgoXLhxTqlSps7///ntY3LaoqCjWr18fWq9evQRC3aFDhzwzZswofN999+1LPM/XX39d8Oabb45Pi65bt+7JdevWhUZFnauUWLJkSViZMmXOFCpUKP5NPWbMmEL3339/xYkTJ2696667Dqcl5meeeabEyy+/XHrWrFkbr7vuugRv5LSe90IREUQETa8TpcVisVgsyeBeyP2lypNAJUwzjOkYg/XlwAYRhrvCTk5nDsa7yuvvQC5yHsd4i33j70AsF4Yq/2Iyu54WwXi5mayOQcBVwK3+iy4VHAnDkQHARuArzGe3Fcbz7lO8WV8arapbVfVqVa3llnpP9dlezy3TruWWam/3Oa63qn7j/n5GVe9T1cvd/a9T1a0++9ZS1StUtYqqDtMULvQvoFy8JRCFH0QpVd2HaTgSlwV9G6ZkeEsSu08FbvRp9NEHs8CU2lhy5z6N8dB8yC1lTsw8oC1QXlU3uNsWAM8Bi9xsPYvFvzgSjBHvL+d8zUqA3niTt5lIC6qcVmWn2yQt8kLmym6siJeN9OzZc9/o0aOLL126NO/x48dl0KBBpQMDA7V79+6HffcbN25c4cDAQO3Vq1eCN9PBgwcDlixZEn7HHXfE79+9e/dDAQEBOmjQoNLHjx+XpUuX5h09enTxXr16xZnE8vLLLxcdPHhwuS+//HLLbbfdlqYMvL59+5b+4IMPis2dO3dj8+bNTyUeT8t5k+LUqVNy8uRJiY2NJSYmRk6ePCmnT5+OXxEdP358xO7duwMBdu7cGXjHHXeUL1y4cFSbNm2OpyVui8VisVjSgyvo/aHKY5gsh+bAd5iufqtFWCvCEBGq+zPOjKJKFOamr0daMgxF5F4RURG52WfbfBHZJiIr3J+Umix0FJENIrJZRKaJSP60jCWa4zkRWSsiv4tIeZ/tE0WkeRqfepoRoRxG5Hxd9bwVf0vO5E3gGKY7rcGrf2C83l6nkDRGpCsi7RHJ46cYz+FIKRx5GZPB9QamI2t1vHoTXv3FFSEt6aMlsDSDXXozgweAB9zmNE8C98YN+GYtuuLmEEzG0RZMo49xqY2lhNsQJLmGNksxnmK+Rv0LMBnq1g/P4l8c8eBIN2A98BbGHuEdTPksmAY4U/Dq536K8KJAbIZT8ixbtqxSYGDgz1WrVj0aEhJywasSsbGxDBo0qNSUKVOKnjhxwnPFFVecfO+993Y0btw4gUhWtWrVGq1atTr6wQcfJGhjPGbMmEITJkwounTp0o2+25csWRLSr1+/cuvWrQsNCwuLveuuu/a/+eab/3k8RqMVkQYBAQEaHByc4D972rRpm9u3b3+eOLZp06bgatWq1QoMDNSgoKAEx6xcuXJtlSpVzqblvGPGjCn06KOPlj958mS8X0bp0qVr/ffffwkaVTRq1Oj4H3/8sRGgTZs2ly1fvjzs9OnTnvDw8JgmTZoce+WVV/6rWbPmmbS+zqlx6tSp4E2bNuWPjo5u06BBg62pH2GxWCyWSw23i21zjEH+7ZhSstUYM/kvVNnsx/DShQhNMOVSjVST79IoIhUw5SsCvBbXsEFE5gPv+jZwSOb4fMDfQCtV3SAio4BTqvp4SmOJ5siPucmsgcmMrK2qj4nItcAtqtov3S9AKojwDqaUrNLF6n9jST8i3I3xBKuj6vqxNZBOHOBrdiQQtA8Cr6L6ZrYH6UhtTIagF9OAYBTGqP1AtseS23BkIzANr6bkq2WxWC4WHGmLaSxVD2MF8jxe3Y4jocAmTLn3LuAKvKk2wsnVWBEvBTJbxLtQ2rVrV7lFixbHnn322fPKbC1px4p4FovFYkkPIgRgsjq6YsqiimDKbj8HvlTlov5b4mbgbQJmqfJI0vuIB/gB09zhLXxEu3SIeJ2BXqra3n1cA/hBVcukNJZojjCMT1ZNTOZKWeBFjO9VxzR0sEwXIhTGeEw9r8pbmTm3xb+4QvxSYL8igzGi/BtAaDKHPINq1newNZ5812E66V4LrAPeBj7Ba0pGLReIIyUwHYlvwKvfxW0Wk3X5FsYz7jSwUlW7u2M3YL5rPEAg8IaqTko8tYi0I2EH62LAHlWtLyK1gI99xgoC+VW1UBLz3MC5hh6Pquocd3tPoIRmx3vRYrkYcKQ+8Crm+/A74Cm8ujLRPu0x39998erCbI/xIiPQ3wFY0k7jxo2P33XXXTmqXttisVgslpyOKjEYH6F5IgzAGIJ3wXS8fFWEpcAXmAy91EzHsx1VVIQpQD8RHlMlOondBmH8kJZJ0r7/r4rIcIzg8JSvv5UP5QDfbpnbOWfunuyYqsbHo6onRORtTObgHuBuTPfKtzJbwHPpD5wF3s+CuS1+RJXY96TfJ81ZFCfapMaTiIwia95n4EgeTHbpIOAKTNOBG4A56TFnt6SJlhgz/EWJtr+KMcWvqqoqIiUgvvHEFKC1qq5ys5I3iMg0VT3mO4Erts2JeywiM3E7urrdc+v6jI2CZBvlDMP8/wNMA+aISHGgB0bMsFhyN45UwjSs8WIWXNrg1aS7I3v1e5JrYnMJYkW8HMTw4cP3+jsGi8VisVguZVwB7EfgRxH6YboudsV0xHxDhN85l6H3r/8iPY9PgBc4t9Idj4jUxGQYtkzm2B6qutO90e0PzMSUu2YJqvoe8J4bWwOgDPC9iIzGZL38qqojL/Q8IoQBDwGjVTmW2v6WHIZI635GtDmPwxRgGrfyB41ZGdSQfVIcRcJPErZqr/AzsAyYqsqeC47DkcKYzqwDgMLAp5iuiisueG5LcrQElvuW3LlZvr2AMnGNNFTV9/9XMZlzAPkxZdYp2vmISCnM34CeSYzlxYi2VydzeBQmK1Qgvoz/HWCw78KGxZLrcKQo5pqpL2ZxrwvwlfX+TDtWxLNYLBaLxWLJAG7TiO+B70XogxHIumIyLN4RYSFG0Juqym7/RQqqbBHhN0y3xO8SDbfANPXY7GbhlQDeF5GSqjpG1XSAc298R4nImyJSWFUPJppnBwkzSCoAu1U1WkSSHUsuZjeD703gDjfu/araX0TmicjMZLIB00NPIAy4YEHQclHyEhDku2EHZXlehvOFdCM2IJCG9WKo3zCYMmVABPbto/xff9Fj6VLuOnWKkYGBzIyJ4Zl4T7304EgVTJfQezBi0Djgf3j1YhL3cystgbmJtlUGIoGnRaQtcAp4QVV/crPyugLTROQEpvHDrWno1HoPMNvtRpuYW4GtqsmKtU9gTPsBBopIR2Cvqv6RzP4WS87GkXyY78QngBPAw8D47Oi6nduwIp7FYrFYLBbLBaLKGUyG2kwR8gLtMYLeq8BIERZgSm6nquIvb9spwJsihPtmnqnqGGBM3GNfDzxXSCusqnvdsdswN5qJBTwwguZoEamuqhuAfpjOuKmNJcejgKOqe9wsmrhVesWIbxlGhCB3/o/8+P9hySpMmeSVcQ8VGMlDPBPwKiXLBPDW4GDuuAMKFgxI6ujAU6dg6lR46y1uWLmSDiK8DgxRpB5QCSMGzUMT3Xwav7urMO+tGzFl408CE/Dqec3kLFmAI4WAWsDziUYCgfLAOlV9UkTqAT+KyBWYrLtnMcLdLyLSCPhGRGqpJt1kxM1M7onJ5k2KXsCHyYWpqr8CTdy5woHZQHsReQTj37gXGJQGIdFiubhxJAjojem0HIbxgnzHfidmHI+/A7BYLBaLxWLJTahyWpUZqtyBKf/sAuzHGKrvFuFHEe5zmypkJ19gMpNuTscxeYBZIrJaRFZixLcb4wZFZJiI9AFwvaN6AzNEZAumDHZ4amNJISKVgdbAeHfTFKCNiKwBNrveUxdCF0zTjOzvSGrJDuIz8GLw0Esm8KjnHQY9HcLqDcH07QsFCyZ/cEgIdO8Of/5J4MiRBOTNo4NbBiw6dILQJZhy2DnALkT6A+BIII50BZYAv2C6WXcBquDVkfZmNVtp4f77a6LtOzA+eZ8AqOpyYBtG8KsLlFLVX9yxpZgumPVSOE8rIC8+/nhxiEhFoCmm23daeBmTOVoCuElVO2OExTvTeLzFcvHhiOBIZ4yX7ghMZUJlvDrcfideGDYTz2KxWCwWiyWLUOUk8BXwlQj5gA6YDL3/AWNEmIu5sJ2hyqEsjuWACN9hSlM/Tn4/be3z+wmgYQr7Pp/o8TfAN8nsm+xYEvv+DVzv8zgSc9N8wbjdegdjGpFc1J2FLRlmF7ABqD6A0TiBd/H1dA8dOqRvkoAAGDAAmjYVT7trGofddmIGs2Pa4TFJocWAUbSUNvShAUYUng48jFd/y9ynY0kHLYE1eBNmC6vqARH5CdPkZLYrtFUE1gPRmEY7l6vqehG5DFN+uzGF8/QCJqpqTBJjPYHpqno4tWBFpClQQFW/F5HanMs4jgXypXa8xXJR4sjVmC7OjTBidju8F2yBYXGxmXgWi8VisVgs2YAqx1X5XJVbMQLA3RhD87HAXhFmitBDhAJZGMbHQFsRSmbhOS52rsdk37zu70AsWYTxbxw2jVsYSx+mOAHpFvB8adgQZv8QxE9cwzsMTDi4gls4xSygKl693Qp4fqclJhsyKfoAj4vIamAG8ICq/uvaBdwPfOFmHE8HBqjqDkiYcew+LoDxvJuQ+AQi4sF45SVbSuuzbxBG6HgUQFVXAVvdjOOrMRnIFkvOwZE6OPId8DNwCGiAV++0Al7mImqbgCTLsmXLKgUGBv5ctWrVoyEhIdaPIJdw6tSp4E2bNuWPjo5u06BBA/uFYrFYLBa/IkJB4CZM+d11mAyM7zDlr99mZudUEUKAPcBQVd7OrHlzEq4/4SlV2vs7FkvWIUJoWODp/d16BIeOn5A5eQsvvwwvPBvFFq1MOXb6DrVF9adMOYkl4zgSDhwGvHj1cz9HY7FcOjhSAWORcSewHBiMVxM3l7FkEjYTz5KtbNy4MVhEGqxZsyYPwJgxYwpVqFChpr/jslgsFovFX6hyWJVJqnTAeGn1A0KAycA+EaaK0EXkwpo5uOc6hSnv7X6hc+VERGiGydR5zd+xWLKcu85K3rwvv3rudmfo0KFUrlyZAgUKUKRIEdq1a8eKFSvix7du3Urz5s0pUqQI+fPnp3LlygwfPpzY2FgAHnsMihSGUQxIfC57T3VxcCXm/yK5TDyLxZKZOFIER97GlJ5fCXiBRlbAy1rsHxyLX+nbt2/k9u3b1/g7DovFYrFYLgZUiVTlQ1XaASWBR4CCGDP9fSJ8LsKtbkZdRpkC1BPhigsOOOcxGFgKzPdzHJYsJjiYfl4vUqzYuW3dunXjzz//5MiRI/z3339cd911tGvXjpgYY2tWtGhRJkyYwN69ezl69Cg//vgjjuMwevTouDnp/0gQ4wP7EIvETXsIWJytT86SHK2AzXh1t78DsVhyNY6E4cjTwN+YRcFHgcvx6md4Nda/weV+rIhnyTZOnz4tqe9lsVgsFosFQJX9qoxT5RqgNPA4pnvhVxhB7xMRbhQhTzqnXoAx/r+ksvFEuBxTtvyqKtZPJhcjQr6oKGrecAMJrj2rVatGREQEYGzzAgIC2LdvH5GRkQCEh4dTrVo1AgIC3HkEj8fDxo3n+hu0bw+HovOzgepxm17HNICx+J+U/PAsFsuFYjpx3w9sBp4G3sF0nB2FV639WDZhRbxcRuPGjavddddd5a677rrKYWFh9cqVK1dz1KhRhePGP/vsswJXXHHF5eHh4XUrVKhQ8/nnny8et/p43333lenUqVPFuH1vv/32CgEBAQ32798fAPDzzz+HhYSE1Dt16pQAbNu2LahTp04VixUrVrtQoUJ1OnXqVPG///4LTBxLx44dK+XPn79uz549yyaOd+TIkYWLFy9eO+7xbbfdVqFjx46V7rrrrnIFCxasW7hw4ToPP/xwKd9jli9fnvfqq6++rHDhwnWKFStWu3v37uWOHj1q38sWi8ViybWoskeV91RpBZQBngEqAF9jBL1JInQQITgNc8UCnwB3ilxS14KPA5swr5kld1NHFWnU6PyBWbNmUbBgQfLmzcugQYMYOHAgRYsWTbBPixYtCAkJoVKlShw9epT+/fvHj9WqBcGBMfxJwxjM58g2SLkYcCQEaIwV8SyWzMcRwZFbgTXAaGAaRrx7Aa9mmm+vJW0Epr6LxZeTJ0/KunXr0rvifUHUqFHjTGhoaJpXjL/44osiEyZM+HvWrFl/T5s2rUD37t0rV61a9XSePHm0R48elceMGbPt7rvvPvT777+H3nbbbZcFBgbq888/v69du3ZH77vvvoqxsbF4PB5++eWX/GXLlj3z7bff5u/Zs+eh77//Pn+jRo2Oh4SE6KlTp6RNmzZVr7322iNbtmxZo6rcfffd5W+//faKixcv3hwXy5dffll44sSJW7/++uutJ0+e9PiKfMnxww8/FBw1atS2CRMm7Jg/f35Y+/btq7Vt2/ZYp06dju3evTuwTZs21R555JHds2fP/vvw4cMBt912W6X777+/7GefffZPRl9ji8VisVhyCqr8B4wERopQFuiMaYoxEzgkwnRMU4yfVYlKZpopmNLSFpjMvFyNCGUwmYf9VInxdzyWLKcggG8pbRwdOnTg8OHDREZGMmnSJMqUKXPePr/++isxMTEsWbKEmTNnUsxnouBgKBgew+FDBQMwJu5hiHRBNbnPmiV7aAIEYUU8iyVzcaQlZrGiCfA50BGvbvFvUJc2VsRLJ+vWrcvTqFGjbPWQWbp06dqGDRueTuv+rVq1OuL1eo8AdO3a9cjkyZMPjx8/vkhgYCCtW7c+0rt370MALVq0ONm/f/89H330UdHnn39+X/v27Y+dPHkyYNGiRaF58+aNDQoK0nvvvXffnDlz8vfs2fPQzz//nL9Tp06HAL744osCJ06cCBg7duwuj8cs4r/zzju7KlWqVPvvv/8Oqly5chRA27ZtD3ft2vUIQHh4eJrq4+vXr3/8/vvvP+Qef6J69eqnfv/997BOnTodGzduXOHy5cufGTJkyD6AkJCQ6BdeeOHfjh07VouOjv4nMNC+pS0Wi8Vy6aDKTuBt4G0RKmAEva5AT+CgCNMwF90LVIn2OW6NCCsxwlauF/GAgcAB4GN/B2LJFmIAolKQ1QoVKsTDDz9MREQEVatWpU6dOgnGAwICuPLKK1m4cCH3338/U6dOjR+LihYCz32cbsZkeb4cv4Mjt2AyZUdYf6hsoxWwA69u93cgFkuuwJFawCtAB+BnTMOKP/0blAWsiJduatSocWbp0qVrs/uc6dm/fPnyZxI/XrlyZWhgYKBWq1YtgRhYpUqVM3v27AkGyJcvnzZo0OD47Nmz8+fJk0dbtmx5tEOHDkfHjBlT4tChQ56VK1eGjR079h+ATZs25Y2MjAwqUKBAXd/5goODdevWrcFxIl758uXTXRtfvHjxBJdcoaGhsceOHfMAbN68Oc/atWtDw8PDE5xXRNi5c2dQxYoV7SqoxWKxWC5JVNkOvAG8IcJlnBP07sPtcosR9Ba62WhTgGdFeFCVNC8W5jREKATcDwxTJV3XVJYcy98A69dDs2bJ7xQbG0tUVBSbN28+T8SLIyoqKoEn3t69cOhYEJXNKeLoj8grqCqOBAKTgHCgFY50x6vHL/gZXQAikgd4C2gHnAZWqmp3EckLfAbUAE4B+4C+qkln2YjIYOBu4Kw7z0Oq+oeIlAI+wgiXZzB+WX1UdX8Sc9zAuRLkR1V1jru9J1BCVV9OfEwasX54Fktm4Eg5YBhwF7AS873xI161XrIXCVbESyehoaGanqw4f7Bjx47gRI/zlCpVKiooKEi3bduWoBR4y5YteUqUKBEvtF199dVH586dmz84OFh79eq1v2HDhqdVlTfffLNYREREdNxzL1GiRFTJkiXP7Ny5M8XOsh6PJ1M/7CVKlIhq0KDB8d9//31TZs5rsVgsFktuQpUtmBX0V0Sohim37QL0BXaL8BXwE5Af6IhplpFb6YfJzBrn70As2caWwECO/fYb4b4i3ogRI+jWrRvFixdn//79PPPMMwQHB9O8eXMAfvzxR8LCwmjQoAEBAQH8+uuvjBgxgnvuuSd+jiVLzL+NWOp7vlJAGHAcaIQR8MBksCzBkQ5+zhB7FVCgqqqqiJTwGXsf+M7dPgAYD7ROPIGI1MV8lq5Q1eMi0h0YhfGhiwGGq+pCd983MAsK9yQRyzDgBvf3acAcESkO9ACuzdCzcyQYaAY8nKHjLRYLOFIIeAp4ENiN+Ux+arOJLz4uJTPjS4YFCxYU+OyzzwpER0fz1Vdf5f/hhx8K9urV60Dv3r0PzJ8/v8DEiRMLRkdHs2jRopBRo0aVuPvuuw/EHXvDDTccWb58eb6//vorX8eOHY8BtGzZ8ujIkSNLtGjR4mjcft27dz8UHR0tDz/8cKmDBw8GAPz777+BH3zwQURWPrc+ffocXLduXeirr75a9NixY57Y2Fi2bNkS9PHHHxfMyvNaLBaLxZJTUWWjKsNVqQXUBD4ArgNmYDJqXhWhqQi5rou8CCHAQ8AYVY6mtr8ld6CKxsby7YcfEu2bO/Ljjz9Su3ZtwsLCqF27Nnv27GHu3LmULFkSgGPHjtGnTx8KFy5M4cKF6d+/Pw899BAvv3wuOWzihzE0DVxKIQ6dmzgM+JhVOPIR8ATE19oGAlWB5TjSImufddKISBjQC3hG1bwaqrrH/fe0qs6O2w78jsmmSwrFeM6FuY8LYrpco6p74wQ8lyUpzBMFhLrzxCUSvAMMVtXoZI5JjQZACDYTz2JJP46E4MhgYCtwL8Yvtzpe/cQKeBcnNhMvF9K5c+eDEyZMKNKrV69KhQoVinrjjTf+ad++/XGAiRMn/v3SSy+VGjBgQMVChQpF3XffffueffbZvXHHNmvW7FR4eHhM2bJlzxQpUiQG4Lrrrjvy1VdfFb722mvjL34jIiJiFy9evOHRRx8tXbNmzRrHjh0LLFSoUFSrVq2O3nfffYfOjypzqFKlytkFCxZseOKJJ0q/9dZbJU+fPu0pVqxY1K233hoJHM6q81osFovFkhtQZS0wRIQXgFrAi0An4DdghwhfYEpul6mSG0pn7sVkG47wdyCW7CU2lnfWrcP7ww/Qrp3ZNnPmzBSPufXWW7n11luTHd+4EWZ86+EzfSPhQGE+w8NmjC9bC0ggiAdi3oPzcKQPXh2f/mdzQVQGIoGnRaQtpmz2BVX9KYl9HyaZ7s2qulJE3gG2iUgkpmy2ZeL9RCQAGJDcPBiRc5L7+0AR6QjsVdU/0vGcEtMK2IvpPm2xWNKCKf2/GxgKRGD8dd/Eq0f8GpclVURtaXOyLFu2rFJgYODPVatWPRoSEpJubzd/0Lhx42pNmzY9NnLkyP/8HcvFyqlTp4I3bdqUPzo6uk2DBg22+jsei8VisVj8hQjhmJvfd4AAjIdeBcyKfJygtzInCnoiBGK8ueao0sff8Viyn6AgZhYrRru1awksWPDC5oqKgquaRnFm1Ub+jK5L4Lkmx0uA61A9iiOFgf2QYlbrj5hytU3Z4TElIvWBZcDdqjpZROq5MVyhqnt99nsaI+hfo6onk5inIuAAt6nqf27pbTdVvcpnHwHGAsXc/VLM4hGRcGA20B7j3dkc8300SFXTfu/lyGzgOF7tkuZjLJZLFUcEuBFjuVEVk50/DK/u9mtcljRjy2ktFovFYrFYLlFUOYYpq22typNAJYzH1XTgTmA5sFGE4SLUymElt52BcsCb/g7E4h+io+m5bx9H77yT2LMXsByvCgMfUVatiMWJ7hIn4CnwJNAa1bhqleQ83Xwbr10DbAB248jnONIPR65wb6yzgh1ALPAJgKouB7ZhMnEBEJHHgFuB65MS8FxuA1aralyiwEdAcxHx9eIeCZQFuqYm4Lm8DLwElABuUtXOwEHMd0/acCQAuApbSmuxpI4jzYGFmL/7a4EaeLWvFfByFlbEs1gsFovFYrm0mQJcKUIlVVSVpao8hsnIuxKTKdMTWAWsFWGICJf7L9zUccXGwcBXbpMPyyWIKvuio7lxzhzOdupEzKEMGL6cOgW9e8Yydkwsk2J7UIP1cUMCTEXVt+Fda3d7XIbdCcwN80iMMFUd4wfXDHgXU2b7GrAG2IcjU3HkIRypgyOZcp+mqgcwTWzaQXxGXUUwT0REBgF3ANeq6uEUptqKEe3yuY87ApviMuZEZCRwGXBLWrLoRKQpUEBVv8f448W9ZrFAvmQPPJ86mEYiVsSzWJLDkRo48jXm+ygKaIpXO+NVW4KeA7HltCmQE8tpLaljy2ktFovFYjmHCEHAv8D/VBmezD4eTKlbV+B2oDiwGrfkVpXN2RRuqojIvcAEk0x4cwNV/vIZa4MpJXxUVd9N5njFiCpx9ZIPquqvboOAn4G87vbdQB/V87uOikhP4DGMb1gvVf3L3T4M2KCqzgU/UUuaEaFxYCCzCxSgwP/+R2DXruBJRSJThblzod99Z9mzKxonpiudSOCpdxQoiW/mmiOVMWWhf2FKWLelagxvfKnqYXzd4jz1CmB87H4FFrg/K/FqTHLTpISIVAI+BIpgRLJhqjpVRMoAOzEC3TF39zOq2sQ9bhjwn6qOdUtlXwZuwbyvT2A+G8tE4rN7NrhjANtU9ZZk4gkC5gK3q+p+d9t4oClwACMEpk1ydeQR4HmgiDXht1gS4UgZjOfdPZjMu8HA99lRym/JOqyIlwJWxMudWBHPYrFYLJaEiDASk6lTPTX/OxECMIb2XTCCXhFM2e0XwBeq+O1vq4hUAByoeQUM3Kbas67PWAGMgLcX+CkVES8icVaSiHiAMFU95j4eCLRW1ZuSmGMbphNwA+AhVb1dRK4AXlLVmy/0eVrSjwiFRHhdlV4Vy5zl3vuDadMGateG8HCzz6lTsHYt/PILfPT+WdZsDOZGz7eMiu1HWdOI9RzB/I8z+lCmB2rKQ2tjsvpaYT5rEcARjFC2AJgPLMeb4W6uuQdHpgMevOd/Di2WSxZHIjCC3cPAPuA54JOMLgRYLi5sOa3FYrFYLBaLZQrG4LphajuqEqPKPFX6AiUxPmDLgMeBv0VYKsJjIpTP0ogT4Yps4+HxsVA4P8yflmiXUZhuvAczMr+qxvoIeIIphUxO8IzBZOyFAWfd2N7B3FBZ/IAqkbGx9F5G/Z037RrNyGGHuOoqKFBAiQiPolD+KPKFxdKoEQx54iSNN05hMc34OvbG8wW8GpxlDM1wpGimB+rVGLy6HK++g1dvxojkdTA34acx3V3/ACJx5DsceRJHmuFIUKbHcrFjSo5bYEtpLRaDI3lx5DHgb0xW8DNANbw62Qp4uQebiZcCNhMvd2Iz8SwWi8ViSYjrIbcB08k1Q9lFblnuNZiS21swJYG/YzrcfqWaWAnJXFxz/nDQmtD4OljWQzVmhjt2O9BJVe8WkYnAilQy8f4CAjFeYs+p6gmf8bmYpgD7gXaq+m8Sc9wKPIspUXwAaAsEqOqIzHq+lgwi8jvQRIHtVGAFddlPUWLxUIhI6rCSy9hCAElWZh4D7mIs6wnne+As0A7v+SXVWYZpgHE5JkuvtftvceAksJhz5bd/4NUzycySczEdbfsDdyFUoAghBDGR/3gSn267Fsslhcng7QEMwwj/7wKv403R59KSQ7EiXgpYES93YkU8i8VisVjOR4TngAeB0qoJumlmZK48mAy9LsDNGOP5hZiS269UydROeCJSE/gA/ukN5VZDqfWw+xlVnSEiJYDvMaWvh9Mg4pVT1R2uB95Y4Jiq9ku0jweT4VAy8VgS85UFJgDtgeFAZWCLqj5zQU/akjFE7gfGpbDHaSAICPDdeAgOR0BTVDcC4EhJzPuqKNAer67KmoBTwYh6VTnnqdcKKI15Hr9xTtRbgldP+SXGzEKkMDAPn866PvyL6RRsG9lYLh3M578D8CpG3P8QGIr3/MUlS+7BingpYEW83IkV8SwWi8ViOR8RKmFKcDqoMjsT582LEbC6ADdiunP+gsnQm6rKvgs/h/QFnoci+SBPXvg3BtN4YAiwAyOixQkYRTAZVGNSE9JEpBnwvqqeJxq44uBmVQ1PZY5pbhzFgB6qeo+ITAImquq8dD1Ry4Ujkgf4Drg6idFYTAnafOBeTMOJ0yMg5hm46QTUUNVz146OFAS+xpS7dsKrv2Zt8GnA3NRX4lyWXiugHOY9v4Rzot5veM9lmOYIRN4D+qawxxxU22dXOBaLX3GkGaa7dQtMJ6dn8Or6lA+y5AasiJcCVsTLnVgRz2KxWCyWpBFhEfCPKt4smj8UuB5TctsRyIPJrPkcmK7KgQuYuzSwDRgA4gXeVdUZ5++XfCaeiERgunOedLPt3gYKqepdrmh3Jq5rpog8DHRR1ebJxyRdgdqq+oyI3IjpunmviHwETFPVbzP6fC0XgEgw8NhxeCgfFFeIFdMt9Q1U556/uwQDK4C/VbVTgkFH8gIOcAPQFa9+neXxpxdHKpAwU68SEI3x1osT9Rbh1eP+CjElRIgoyr5Gg3nt28MUDBaUouynDiupywryxzfWBaASqtv8FavFkuU4Up1znaIXAk/g1d/8G5QlO7GNLSwAjBw5snDx4sVr+zsOgNDQ0HozZ85McVXbYrFYLBZLlvAxcLMIWfJ3WJWTqkxVpQumDNGLyZj7H7BHhO9F6ClCRAamfwSIBCan5yAR6SMiw9yH1YHfRWQlsBoo7M4LJpvpZxFZJSKrMZlc3VOYNwLj3TXc3fQ9UFhEVgGF3McWf6B6FtWXw+HlgnBAIAzVdkkJeGZ3PQsMADqKSEIRz6ungc7AJGAajvTO4ujTj1e349VJeLUnXq2MeS/fA6zDdJj+HjiMI0tw5HUc6YAjBfwYMSJ4RLg5KIjvRDi4n2JzXi3wSvD0yx5n2mVPMCT8bVrxC4UlkttkGt/TLq7LTCl/xm2xZBmOlMKR94E1mBL6TkBLK+BdegT6OwBL7kBEGkyfPn3TzTfffCz1vQ0jR44s/NJLL5Xeu3dvAg+RkydPLs/8CC0Wi8VisaSBL4GRwK0YUSLLUOUEJgPvc1c0vBFTcjsGGCvCDxgPva9VOZLSXCIUxDSQeFmV06Ctkz+v3pPo8Vif338DklzUVNU/MOWVacLN2Gvp8/gs5jlaLh7KHoEdqJ5ObUdV/VlEPgNGishcVR9/Oa/G4EgfYC/wAY4UA17Be5GWPHl1J/CJ+2PEAfNebYXJkH0ciMWRFZgsvfnAr3hNFmpWI0LNoCA+jI6mccuWxPTujbRqBSVLBiNi9lGFXbvg558DmfB+R65ffAttA37WUjE7o7P0i8tiyW6MoP4EMBDTXf0+wHabvYSxIp7FYrFYLBaLBQBVDoowG5Nhlm33wqocwxUVXEHuRkzJ7YfAByJ8jxH8vnX3TUxfQDECoMWSVsphPBPTymOYLs5PYnwOz2EEu+dxZC8ms7QEjjyCV5Nsc3tR4dX/gM/cH1wRMk7UuxYjHiiOrOJc+e0veDXD5e/JIUIPESbUqgXjx0O9egkbjPjsR9mycPfdcPfdQSxeDPf3asnPmwIXTBa6qTIjs2OzWLIVR/IA/TCdzj2Y75xROb5BjeWCseW06UCEBv76SWuML7/8ctGyZcvWDAsLq1e4cOE6t912WwUTuzSYMWNGfGnMxo0bg0WkwZo1a/L4Hj98+PBixYsXr12wYMG6nTt3rnDkyBEPQGxsLI888kip4sWL1w4LC6tXvHjx2gMGDCgNcNlll10B0K1btyqhoaH1WrZsWQVgwoQJEVdcccXl+fPnrxsREVGnTZs2l23YsCEY4Pvvv8/3+OOPl9+/f39QaGhovdDQ0HpjxowplFSsn332WYErrrji8vDw8LoVKlSo+fzzzxePiTm38CAiDV566aVi9evXrx4aGlqvatWqNebMmZMvvf+/FovFYrFYAJgCXCPin7I0VQ6rMlmVDkBxjECXF1Mmu0+EqSJ0ESEMQIQQTMnr2NQy9iyWRKRLxFPVf4GhwGARuSzJnbw6GugG9AEc90Y8Z+HVfXj1K7z6IF6thSl9vw2TkdcS+ArYjyNrcGQ0jnTGkeIZPp9IKCIeEXoBkx97jMA//iCwXprzXuHKK2H5qkDp1Ytg9zvi9gzHY7H4E0cCcKQHsBF4BRgPVMKrb1gBzwJWxMtVrF69Os/w4cPLTJs2bcuJEyeWb926dXXv3r3TvEJ28ODBoJUrV4Zu3rx5zfLly9euX78+5IEHHigL8PXXX+f/9NNPiyxcuHDDiRMnlq9atWrtzTfffBhgy5YtawE+++yzzSdPnlz+yy+/bAbInz9/zPjx47dHRkauWLdu3VqAbt26VQJo37798TfeeOOfokWLRp08eXL5yZMnl/ft2zcycUwLFiwI7dGjR+WBAwfuiYyMXPHxxx9vHTt2bPGXXnqpmO9+kydPLjJ58uRtR44cWX7VVVcdu/feeytm8GW0WCwWi+VSZybGpy5LmlukB1UiVZmgSjugBPAwUBD4FCPofQ684257109hWnIuZYGd6TxmBKaL8wiRuOLORHj1C0wDlw7ATBzJ2V7PXj2AV6fj1Ufwaj2MV+SNGC+9xpgMvj04sh5HxuLIHW6JbvKIFEDkZUT+A04so/6JQE/MB08/Da+/DgFJ5t+lTFAQjBuH9OmDJyCAj0Wokv5ZLBY/4YjgyPXAX8BE4CegCl4dnF2l7JacgRXxchFBQUGqqrJixYqQyMhIT4ECBWKvv/76NHeZUlXGjRu3M3/+/LEVK1aMev755/+dOnVq4ejoaIKDg2PPnj0ry5cvz3v8+HEpXrx4TNu2bVNsS3/77bcfbdas2anAwEBKliwZPXz48H9XrlwZdujQoTS/78aNG1e0devWR3r37n0oKCiIFi1anOzfv/+ejz76qKjvfg8++ODemjVrngkKCqJfv377d+/eHbxz505bLm6xWCwWSzoxnnJ8SQpNG/yBKgdUeV+VazDm9Y9jhL0HAAHeFOEmEXJe5pMl2xGRIMz7KD3ltKhqFKbJxQ0YY/mk8epPmHLU2sA8t0Q1d+DVQ3j1W7z6GF5thGnU0gH4BqiLaZDzL45sxpHxONIdR8rGHy9SGFgEPAWUjCKQ7oGf5W3eTGXYsPPOli5E4J13oEYNAoOC+EzE3u9acgCONAZ+BmYD24HaeLWX619psSTAfqnlIqpXr352/PjxWydPnlykfPnytWvWrHn5uHHjCqX1+Pz580cXLlw4vk61SpUqZ6Ojo2XXrl1BHTp0OD5kyJBdb7zxRskSJUrUbdiwYbXp06fnT2m+WbNm5WvWrFnVokWL1s6XL1+9du3aVQf477//gtIa07///htUsWLFM77bqlSpcmbPnj3BvtvKlClzNu738PDwWIAjR45kYA3PYrFYLBYLpqS2jgi1/B1IUqiyV5X3gPcwXnivAeWBGZgMvUkidBAhOIVpLJc2pTHib7pEPABVnYfJBh0pIqHJ7ujVv4DmQASwEEdyZ6WIV4/g1dluxlBTTGZsO0xjmurABGAHjmzFkY+oxhTgirjDv6Qzm2IqM2FyYIYy8BKTJw9MmkRgVBT1gesufEaLJYtwpAqOfAksAYKBFnj1Jry61s+RWS5irIiXDlRZ5q+ftMbYvXv3w7/++uvmyMjIFY888sievn37Vly1alWe0NDQ2OPHj8f/WdyxY8d5QtrRo0cDDx48GL/P33//HRwYGKhlypSJAnjkkUcOLl26dOP+/ftXdOzY8XC3bt0ui8uqS1xNcPr0aenSpUuVtm3bHtm0adOa48ePL58zZ84G8zqaRl0eT+pvv9KlS0dt27YtwYr6li1b8pQoUeJscsdYLBaLxWK5YH7FlBne6e9AkkMEAQYD01R5TpWrMB5nLwDVMGXBe0WYIEI7EdK8iGi5JIjLDMtopstjmLLSJwFwPK/xWd7tOFIywV5e3YIR8k4Ci3GkTgbPl3Pw6nG8+gNefQavXoUR9dpiFgcqsZP2vruPDHyUW29WKlU6t23o0KFUrlyZAgUKUKRIEdq1a8eKFSuSPN2yZcsICgriqquuit9Wrx60akVMUBCDMvvpWSwXjCMlcOQ9YD1QE7gZuAqvLvRrXJYcgRXxchErV67M8/nnnxc4cuSIJygoiIiIiBiAgIAAataseWLSpEmFT548KTt37gwcOnToeT4VIkK/fv3KHD161LN9+/agYcOGlbrlllsOBgYGMm/evNDvvvsu3/HjxyVPnjwaHh4eIyIEBpqK1SJFikStX78+b9xcZ86ckTNnzngiIiJiIiIiYrdv3x70zDPPlPY9X6lSpaIOHz4cuGfPnmTX3Hr37n1g/vz5BSZOnFgwOjqaRYsWhYwaNarE3XffnendsCwWi8VisRhUicV0i73zIi5HawvUw2ThAaDKTlXeUaUpUBF4GVPO+D2wW4T3RbhGBGu5YSkHRAN7MnKwqv6H6RY5+ON+chPwOPyfvfsOj6p6Gjj+nexuQhKSEHroSJVeBAQbTYodUdEFK6iIryhgF0VEUVSsCKL8UFFXQeyggCBFRUCQKiBIkd5JKIGU3Xn/uBsMkIQEEgJkPs+Tx+w99547u2DIzp4zIxUQ1xvHnezVbThba1cCs/DJZScb9FnJq4l4dRpefYautCHxv6F4Ypib2piutx39duDmm29m/vz5JCQksGXLFtq1a0f79u1J39wO4PDhw9xxxx1cdtnxL+ltt+Hy+2lpCXxzxvBJND55Dqeu5rU4DXDq4tVvgx2ujTmhM/WXMnMSkpKSQoYMGRJXrly5eoULF274+OOPlx82bNi62rVrJw0fPnzDzp07PcWLF2/Qpk2b6l6vd/ex1xcrViylTp06h6pWrVqnfv36tatVq3Z45MiRGwH279/veuSRR8qXKlWqQUxMTIMPPvigxCeffPJP2tbVp59+evNbb71VOioqqkGrVq2qxsTEBF577bX1Q4cOjYuIiGjYvn37atdff/1RBTmvvvrqfW3bto2vWbNm3aioqAbvvvvucVt/W7duffDDDz9c8/LLL8cVKVKk4S233FLl7rvv3tG/f//tefU6GmOMMQZw6lqVw0k+nIkeA35W5Y+MBlVZr8orqlwAVAWGAk2AqcBmEYaL0FIEK79RMFUANqmq/4RnZu5tVwirL6zuHqPFL/Rz8VhB/Tfhk8uPO9OrCTjNLqYCk/FJp1O479lLNRVYnvbwD5oA0KzZ0afVqFGD2NjY4CWKy+Vix44d7NlzdB+8p556ijZt2hy1Ci9Ns2YQCODBSeQbk398EoZPeuMk73oDg3CaVozCq6n5G5w524hawjdTCxYsOM/tdv9cvXr1feHh4bZ98xxx6NCh0FWrVkWnpqa2bty48dr8jscYY4w5U4nwJ7BQle75HUt6IlwA/AG0V2VKDq+tAdwU/KqDsxJrPDAWmB1chWjOcSIyHKijqpee5PWFgGnli1GhZDTl+j05hLbX3slVl1Znxb/xAVV67j+k7x93oU9cwDvA3UBPvBmcc64T6Q6MAvgfd/FgoZEcOHT84tiJEyfStWtXEhISEBEeeughXnvttSPjs2bN4u6772bhwoW8/PLLTJ06lV9//W83YnKyUx8P6KTKN3n7pIzJgE9CgJuB53HqcL4NvIhXj1tQY0x22Uo8Y4wxxhiTmU+AG0QIz+9AjvEYsBD4KacXqvK3KoNUqYtTXH8kztbcX4ANIrwuwoXBmnvmHCQDJYRIzuMkmlqkk7TkJbpseNsVO+3DB3l04NvExMTw/Q/T6NPRJfe25ooMr/KqH7gPZyXOe/ikPz4pWH/XVP8HvAEQIITMymRfeeWVxMfHs3v3boYOHUrz5s2PjB04cIC77rqL999/n4iIjHuLpGuSYattzenlE8En7YAFOP+OzgKqBzs6WwLPnBJL4hljjDHGmMx8BhQGrsrvQNKIUA3oDAxR5ZS2lKiyXJVngVo4W+4+xHmuvwPrRXhFhCaW0Dt3yEA5zxPimeV+0N2WFoSd+IqMqarWreB6lUKlwg5UvJ969eoRGhpKycqNkNKtpXY5uRqfVMvwYq8qXn0W6AU8B7wdXKFXcKj2ARrvI3rigUMu9u3L/NSiRYvy4IMP0qNHDxYvXgzAww8/zBVXXMGll2a+kHLLliPfWi1tc/r4pDHOB0yTgc1Afbx6B179N38DM+cKS+IZY4wxxpgMqbIVp4bXrfkdSzqPAOuAL3NrQlVUlaWq9AeqA41wEpidgXnAPyK8KEJDS+idnWSgiAyUe13i+uu82POa3dDwBhftuMH1nGuMDJQiOZ7QJ20TDvq7XPpSEXe9RhfSqVO6EnfFm0F4aRD3u1musvPqCJxt3XcDPnxy0knFs5Lqnw8ztKeqsGBB1qcGAgFSUlJYvXo1AJMmTWLMmDEUL16c4sWL8/LLLzN37lyKFy/OP//8A8Dcuc5dgD/z8mkYA4BPquKTz4H5OB9+tcSrV+HVpfkcmTnHWBLvdPAfFhY+VpptP0fmdyjGGGOMMTn0CdBRhOL5HYgIccDtwKuq5Ekx8GBCb6EqjwNVgKbAV4AXJxnwtwjPi1DXEnpnBxkoZd0h7smCvNuveb9Ci3sudn92w2d83eVrihQqcosnxLNCBkrbbE/ok0KEeN6PqXaVf9bcv1i5ciWDBg0iISEheEMXUuVOF5raGuiS5VxeHQ90wGl68QM+iT7Z53mW2uzxsPm7744++Oabb7J9u9PHbufOnfTq1YvQ0FAuuugiAObMmcOyZctYtGgRixYtomfPnjRs2JBFixZRqVIlAL77Dg0N5S9V9p/OJ2QKGJ+UxCfDgBU4HdM7A83x6sz8DcycqyyJdzosH1KCFS+XZW6PyviT7Jc9Y4wxxpxNvgaScVYM5bcHgXicba95LpjQ+0OVR4DKQAtgInAHsAT4S4RnRTj/dMRjcia4+q6ra6drlesDV9u6E+vy28DfWLJwCQCrv1/NeV+d5476NKo02/gpZGDIOzJQsvOh+yPJySmVNOp8F6uGE7nlU8JCDlNo44ewajjs/gMOboCoGiCet0+YmPPqdJwu0LWB6fik1Ck+9bOGKpqSwlvvvYc//Zban376iXr16hEZGUm9evXYtm0bU6dOJS4uDoDSpUtTrly5I1/R0dGEhoZSrlw53G4327aBz4cmJ/NmPj01c67zSRQ+GYDTcbYzcD9QB69+hde6h5q8Y91ps5Ar3WkTN7uZcH5dyl0TwoYvoPZTG6n7zI5cDtXkgHWnNcYYY3JGhE+Byqq0yMcYYnAaEQxRZXB+xRGMJQQnodcFuAEoDSzD6XA7VpXV+RieCZKBcg8w8vaqt+sLl78gZUuWZfny5fTo0YMPP/yQHj16MGPGDP7++286de3Ephs2+RNTEmcGBgTaZDnx2PCei9alvnz/B/6IEIGkVOjdPiSp28UhKW1fSI1cs11DCoVC/Yri/7x32GoChxvi1RO/l/BJFWAKEADa49UC8XuqCLEuFxvuvZfId9459dWtquDt4uf7r1P3H0wNK6XKodyI0xgAfBKKswX+GSAcGAK8gVcP5mtcpsA4vpe3yV0LHymLO1JoMgIiysOKV8tSpcceIsrkyRYQY4wxxpg88AnwgwhVVFmTTzH0xNlFMiKf7n+EKgHgV+BXER4CLsFJ6PUGBomwCCehN06VApGIOUPNAehxSQ8pW7IsAGFhYbhcLqZPn87VV19NSEgI559/Pq4kFxEhEYGDHJx9wlm7HHq3Abz72+PHD0295RSi9eoafNIC+BH4DZ90xKuLTmHGs4Iqe0W4e/hwPrv8crjuulOb78MP4fMvXPzAVREdmVQNdEluxGkKOJ+EADcCLwAVgHeAF/CqNU4xp5Vtp81LO2eH8+/nxWkwRPBEQe0nwR0ZwsKHy+R3aMYYY4wxOfATsAPolh83F6EQ8BDwrip78yOGzKjiV2WGKvcBZYDLcQqbPwKsEeEPER4WoWK+BlowLQ11ha7+fNnnAKSmpnL//ffTv39/du/eTWxs7JETQ8JD2LlrpwenoUn+8ep2oCWwHJiJT1rmZziniyqfh4Qw6qabCHz//cnP8+mncHePAI8yhI5McgF9cy1IU3D5pA1Ok6PPcLqX18CrfSyBZ/KDJfHyigbgzz4VKHaBUjn4+64nChq8BP+OLcGu38PzN0BjjDHGmOwJNpH4DOiWT80cbgOKAW/kw72zTZVUVaaqcjfOFtuOwFLgKWC9CL+L0EeEcvkaaAGhA1ST/ckff7bss5Tk1GRuvfVWrr32Wtq3b0+xYsXYu/e/fPDmnZvxRHr+1gG6PC9iEZFCIvKNiKwSkcUi8pOIVM3gvNbSlb3hd/ADztbayfik8zHnjBeRLSKiIkd31hWRZsH5V4nIzyJSNpN4ng1e3yndMRGRdSISH3w8QERGpRu/OHhNy3TH3hWRQSfzmhwrEKBnaiofXnst2q8fHDiQ/Wv37oWe9wbo1g0eCrzGSxxZJtksN2IzBZRPGuKTyThd2ncCjfDqrXh1XT5HZgowS+LllbUfxbJ7XmEavyVIupe58q1QtJGyoE8FNJDrt23atGmN3r1759lKv8aNG9fo27evrSQ0xhhjCp5PgKo43VpPGxFcOKvaPlZl8+m896lQJUWVSarcBZQCrgZWAwOBjSL8KsIDwY67Ju98tidxj+fqW66mfv363HfffQC0bNmSiRMnoqosX7mcfbJPU0JSPsrjWN4DaqhqfeBbYFT6QRGJAV4Cfjicgh+4OXjOF/ikZ7pT3wUaHDu5iIQAnwIPqWp14AeyTnwvAO5K97gNkH5l0XScVYFpWgFzMzj2cxb3yLbgqtYeqvR8800OVKtGyuDBsGVL5tesXw8DBkDNKil8NTqeT/HyKo+k/6RhX6YXG5MZn1TGJ5/idCQvCrTBqwVie7s581lNvLyQekBY0r88lbpB8QuPHpMQaPyW8FOLwqwbU4Tz7ojPlxiNMcYYY3JmAfA3zpbauacDn6wVAABx4UlEQVTxvp2AKjhJsLOSKsnABGBCcGtwe5waei8Cb4owC6eG3peqWAO0XKQD9B93F/e6qd9OrZy0M4lJkyZRtGhRvvrqKzp27MjFF19M/OF4/B38AnyeZ3GoHsZJqqWZAzx8zGnDgOeB6wHwqh+f/B+wHRgR7Fr7nKpOBRA5blFsYyBVVacHH48EnheRQsH7H+tXoJ2IlFbVbTgJvdE4fy/TYiwjIuVUdRNO8u454NHg/eNwaoP9nt3X4URUUeA9Eb7bto0nBgzgzv79iapYkeTGjfHExSGqsHkzOn++pm7aJJ6S7t3ckTqKxxhC0eN323+cW7GZAsAnJXBWTvcC/sXpyj7eus2aM4kl8fLC0udKkxzvocFLGY+XaA6VusLi/hWocEMC7sL2Q8EYY4wxZzRVVISPgYdE6KtKSl7fM7h19zHgG1VW5vX9TgdVDuOswvpWhHDgCpyE3lBgmAjTgXHAV6pYvaVc4K/lfyeyfuSQyy++3JV27IVZL0BzuKL5Ffz4z494NnsWJD+dfDq3yD2I8/cAABG5AQio6ncicv2Rs5zkwXP4ZDswHCiJT3rjVX8Gc1bASTwAoKr7RWQfTq3GzBqsfALcLiIjgSZAf4JJPFVNFpHZQCsRGQdUVtUfROQtESmEswrv90wShKdElW3AgyI8BrRbv57GGzbQwO2mlAiaksK2QEAWvsRjFfumvnaXh+N7Bu6ANSWdpKQxWfNJJNAHJ0GdiPP/5yi8muf/zhmTU5bEy20H1nlYNSyO2k9BRIYlKBwNXoLva3hYOqgUDYdsy4tQ/vzzz0IPPfRQ+aVLl0aEhoZqmzZtEt5+++1NxYoV8wO8+OKLJUaPHl1y69atoYUKFQpcfPHF+0aMGLExLi4uFSAlJYUHHnig3Pjx44v5/X68Xq/9ImmMMcYUbD6clULtcVaW5bXWwAXA/52Ge512qhwCvgS+FCESuApn5cebwHARpuIk9L4+0xp6nGXGJvmTej3/y/MZvvcJaEBTAikjT1cwIvIkztb0NsHHpXGSZy0zvcirI/HJTpzalCXxSW41mfkIp3HNAZy/a8fW+0nbUvsvTmF/cFboNQ8en04eCia9vwt+ZWAIyMtTcZIvDYIHd38NG2+DmgegtsIfeRmjOYv5xAN0B54FIoFXgNfwag4qMhpzellNvNz2Z59yhJWAmidohBRRDmo/AauGleHAOk9uh7F3796QDh06VK9Ro8ahDRs2LJ03b96K1atXF+rSpUultHPi4uJSvvzyy38SEhIWzp49e8XatWvD7rnnnvJp408//XTp77//Pnby5Ml/b9myZYnb7dbFixdH5nasxhhjjDk7qLIOZwve6epS+xgwU/W0bt/NF6ocVGWsKp2BkjjNPJKAEcB2ESaKcJsIMfka6FlIB+imlKdTqhx66lDFjL6S+idV0gH6fm7eU0RuE5FFwa870x1/GGe7bEdVTQwebgzEAYtEZD1wA/CMiLxw1KRe/Qongd4O+DGD226A/7ogi0gUEANkWlVOVTfjJOgGAB9kcMp0nBV3rYAZwWMz0x3LlXp4p0T1M1QbAuVwkqNlrocmB2AW8K2IWCMZczSfCD65AfgLeAsngV0Frz5nCTxzprMkXm7aNjWSTd8WpdFQwZ2N5rM1+0FYcfizb67/wzJu3LgiKSkpMnz48E1RUVGBihUrprzxxhsbpk2bVmTDhg1ugDvuuCO+Xr16SS6Xi+rVqyc//PDD23755Zcjvxh+9tlnxXv16rW9cePGh8PDw3Xo0KFboqOjM1q6b4wxxpiC4xPgWhGi8/ImIjQCLscp9F+gqLJfFZ8q1+I0xegRHPofsEOEb0XwihCVXzGKSDURmR3sgvqHiNTO4tzuIrJaRNaIyPsi4snO2DFzzBCRZBEpme7YeSISEJFvgo+ni/y3Qk1E+ovI4eDWz7RjK0WkzSk+/RNS1TGq2iD49UHw3n2BW4DLVTU+3bkTVbWUqlZS1UrAeJzad08dN7FXZwCXAucDvHMHJdONLgA8ItIq+Phe4PtsbHd9Guivqv9kMPYHTlK5K0cn8W7GSTzOy+Ca/KG6GdU1qCarairONvUEnESeLUQwDp+0xFlN+gUwHzgfr/bGq1aP1JwVLImXW9QPf/atQMnLoHznE58P4A6HRkOFTd8UZdu0XP2HZePGjZ6yZcsmezz//R5Uq1atJIA1a9aEAnz00UdFGjZsWLNo0aL1Cxcu3LBnz56VExISXKmpTk2J7du3h5533nlJR8J1uylTpkxybsZpjDHGmLPOOJzfIbP5C89JewxYDEzO4/uc0VSJV2WMKlfiJPTuA8KAMTgJvS9F6BLcjns6jQTeC3ZBHQJ8mNFJIlIZGARcgrNKqhRwz4nGMrEEuDXd47twEldpMuqmugi4MHi/OKAS8NuJnlxuC64GGwoUAaYHV+hla4WpiPQUkeeOPO7KYE/wVXjua5YXLiRzAFQ1gLNK9k0RWYWzPbvPieZX1fmq+l4mYyk4q2+jVHVl8NgqIAr4NTh+RgomSq/G+TP/KNi91xRUPqmHT37A+TmRADTGq168uiafIzMmR+wHWW5ZNbwY8X9F0PgNOL5TVObKd4aSlzkJwAzr056c8uXLp2zZsiU0JeW/f1dXrFgRBlClSpXkNWvWeO66664qPXv23LFp06YlBw4cWPjuu++uA9Bg851SpUolr1u3LjTt+tTUVLZu3RqKMcYYYwqsYG22ieThlloRquBsKXw52K3SAKrsUWW0Kh2A0jjF12NwahXuFGGcCJ2DDTPyTHA13AU4qzLBqetXXkSqZnD6DcB3qrpNnV8y38VZjXaisYx8BNwejCEEZ6WVL934kSSeiIQClYH3+S+x1xKYkxeNGE5EVTepqqhqlXQr9Jplcu4dqvpGusfvquoz6R5fmeLXOP2U0tuGs/jAaCrhk4bBsd9VtZ6qVlfVlqq6MZN7PKuqD2VwfL2qFjnmWAdVjTvmWJyqdsjBS5AvgqsLOwPXAgPzORyTH3xSCZ+MwUnolwLa4dV2ePXP/A3MmJNjSbzcsnpEaULcMLubMrFO9r9+qKvsWwXxSyLY9nOufYJ64403xrvdbn3ggQfKHThwQDZs2ODu06dP+VatWiVUqFAhdd++fa5AIEDJkiVTIyIidOnSpWGvvPLKUf84d+nSZfc777xTeuHChYUOHTokjzzySJmEhARXZvc0xhhjTIHxCdBKhLyqNfUwTn2vcXk0/1lPlV2qvKdKW5zuo/1wtj1+gZPQ84lwrQiFspzo5JQHtga3LBJMwG3A6Y56rKM6pgLr052X1VhGNgLbRKQZTl24+XBUw4+5QBkRKY+z+m4ezhbQtO2lZ0YNt9zi1e04z2kZMBPfkW20Jh1VnYGzgrW/iHjzORxzuvikGD55DfgbuAjwAk3w6k/5G5gxp8a60+aW+oM3sGPGydclcYUHKN36YG6FU7Ro0cAPP/yw6qGHHipfrly5+qGhoYHWrVsnvP3225sAGjZsePiJJ57YfM8991Tq1q2bq3r16oe6dOmye9myZRFpcwwaNGjb3r17XW3btq0RCATwer276tevn2sxGmOMMeas9QPOdqRbcLr55RoRSgN3Av1USc3Nuc9VqmzHaYAxQoQyOCuPugDfAPtE+BYYC/ykytleGmU0TjfJWOA9oGzagKomi8hvOCvuKgMzVHWNiJQL1sVrGbz23OHVffjkSpzt1ZPwSVe8Oj6/wzrTqOqoYN3G0SKyRlXP+WY5BZZPInBWKT+O0xyoH/AeXs3wZ5+IhOFsdW8PHAYWq2q34M+Mz4FawCFgB3BfJrUjEZFHcFYKh+AkDu9Mq30pIrfifDjlArYHxzZkMMcVwMvBh/1UdXLw+F1AaVUdnLMXw5yLJG3rpDneggULznO73T9Xr159X3h4+Nn+C48JOnToUOiqVauiU1NTWzdu3HhtfsdjjDHGnI1EeA9opkr9XJ53MHA3UFGVxBOdbzInQnmcLatdgGZAPPA1TkLvZ1VOqp5ZcDvtP0BRVU0VEQG2Ahcf+wY3+Ma2iqr2DD6+AnhSVS/OaiyDe84A3gAm4bxBTgJq4nTxvU5Vrwue9yROfb3KOG+4V4rIp8Hr3gViVTN+M39W80kI8CZwP3A/Xh2RzxGdcUTEDXwHNAKaZLbV2JylfOLG+QBoIBCNk5h7Fa/uz+oyEXkdZ3FTb1VVESmtqtuCSbzWwI/B4/8H3KCqLTOY43Kc//+aqep+EekPxKnq/SJSE2dFcENV3RpsvnOLql6ZwTzzcbpXA3ylqheISCmcZOLlaaufTcFm22mNMcYYY8zJ+BioJ0K93Jow2PG2F/CWJfBOnSobVXldlQtxklqDgbo4Ca2tIrwnQluRnO3OUdUdwJ/8VxexM7ApkxUqXwLXiEjpYLKvJ84b0hONZXbvwzjNGnoHGzkcazrQFqiY1ogBp5vq08Bv52QCD8CrAaA3zvMcjk8G4stJoe5zXzABcguwG/heRArnc0gmN/hE8EknnG3lw3E+qKiKVwdkI4EXibM696lgWQBUdVvwv4dV9Ye04zgdbStlMlV9nEYvaff7gf+a8NQBlqjq1nRjHUWkWAbzpAARQCQcWTX9OvCYJfBMGkviGWOMMcaYk/EbTj2z3GxwcS/Oioh3cnFOA6iyXpVXVGmCs1JtKNAE+AnYIsIIEVqKkN36x/cC9wa7oD6OswIGABEZJSLXOPfVtcAAnL8v/wA7cTrbZjmW9XPRr1R1UibDf+BstZ2X7thMoBrnUj28jHhV8eoLOB1++wMj8InVs05HVRNwOtaWAz4+0rHWJx3wSQCfPJaf8Zkc8sklwGzgK5xu5rXw6v14nURcNlQB9gBPish8EflFRNpkcu6DwLeZjC0A2qb7QKIrECUiRYNxNRKR6sFzuwECVMxgnkdxGvh8CDwsIlcB21V1XgbnmgLKttNmITe30y7fuTy0RrEaya4Q+3c0v9l2WmOMMSZ3iPACTg2giqr4T3GuMGAd8LkqfXMjPnNiIlQHbsLZclsH2AaMx9lyO1uVjFa7mTOdszLpM5xO0l3xnv6OvGcyEbkUmAq8qp8yCPGsJDSmAsl7k1B/Dbz674nmMPnIJ3WAF4GrcFbfPoZX/8jpNCLSCCcBd7uqjhGRhjgfbNRW1e3pznsSJ/nbRlUzXCUuIr2AuwA/zmrAF4EYVd0nIjfg1MRz4/w/2Ru4TFWXZBFbFM6qvQ44JSYuwqmn1/ecXVFsssVW4uWxgAYYOGNgyQbvNqh7yQeXVF8fv96T3zEZY4wxxuSST3AaC1yWC3N1A0rgbB0yp4kqq1R5XpW6QG2clXBtgV+ADSK8LkJzEWxr5tnEq1/jdPBtA/yIT2LyOaIziqrOwtm+/cS0v/AR4i5LuzkQWTEEcQ3L7/hMJnxSHp+MxlndVh4nwdXmZBJ4QRuAAPApgKouxPkwqW7aCSLyME6duo6ZJfCC1w5X1QtUtRlODbxNqrovODZeVS9U1QtwmhCF46w+zspg4AWgNHCtqt6IsxW868k8UXPusCReHtq8b7O71Uetqg2aNah872a92XFwR+FGIxvV/mzZZ/aPqDHGGGPOeqqswFnFcOuJzs1KcAvnI8Anqlix+XyiynJVnsXpxlgPZ0vXVTjb1daL8IoITSyhd5bw6izgUpwGIDPxSVw+R3TGCDYt6B4RyrZHP+O6zzZ1dk2fv4Hmz4V5LnvOf1VcEVkiIlXyO04T5JOi+ORlYDXQCqehTSO8OhnvyW8tVNVdwDSczrSISGWc+qErgo/74tRRvDyt02xmRJz/v0QkAniO/7rMph9zAUOAd7JKCIrIhTir+Cbh1MdLe44BwGo5FnCWxMsjX6/4OrrByAa118evj5p15yxebfcqC+9dKFdVv8rl/dJb9c5v7yx/KOWQ/QJkjDHGmLPdJ0BnESJOYY5rgRqke9Nj8o8qqspSVfoD1XG6efpwGljMA9aI8JIIDS2hd4bz6hKgBU6x/N/wSdV8juhMkXR+WVoe+NC9asoLNfXRN2ZQtWpVfv5lATNHeQMjurvKhrp5Mb+DLPB8Eo5PHgXW4GxVfQyoiVc/DTZzyQ09gUdEZCnwDXCvqm4WkXI4tUOLANNFZJGIzE27SESeE5Ge6eaZIiJ/4awS/BVIv6JztIgsB1YBCcCTmQUjIh6cRF8/gOCW27UisgwngfnJKT5fc5azmnhZOJmaeEmpSfLQpIfKvLvg3dI31rqR965+jyKFihx1zidLPuG+ifdRPrr8oU87f7q2YemGVqPiNLKaeMYYY0zuEaE0sBmnrP7Yk7hecLr+bVPl2tyOz+Se4J/VBTg19G4CKuCsjBmHU0NvmSr25uJM5JOSOPW1KgAd8Oqf+RxR/vNJV5BPNtf9hnseH8nEiROd44e2M3VwpcCz4w6v/PVvrZ2/QRZQPnHjrLZ7DigKvAa8glcT8jUuY84AthIvF/2146+wpqOa1vxo8UelR109irE3jD0ugQfQrV43Ft67kAhPRKGL/ndRrTfmvFEskGsfJBhjjDHGnD6qbMMpBH6yXWovA5oCL+VaUCZPBFfo/aHKI0AloDlOkfY7gCXAchGeFaFW/kVpMuTVHTireBbjbK3NrANnweCT2L2JrrcvfaUU9VreSadOnY4M7U+N4KnvSocMv5Oa+KRuFrOY3OYTwSfX4Pw9fQ/4HqiCV/tbAs8YhyXxcsmI+SOKNhvVrBYQvuCeBXRv1B2nu3TGqhatyuzus+WBpg9In8l9Kl3z2TXn7UrcZa1rjTHGGHM2+gToIEKJk7j2ceAXVX7P5ZhMHgom9Oao0gdnddclON0+7wX+EmGpCE8Hu9+aM4FX9wNXAhOAH/DJTfkcUT6SF2KLREfNmvMXK1euZNCgQSQkJHDo0CE6depE/+dep179RgHE8z4+sffMp4NPLsJpqPMtTk262nj1Pry6NX8DM+bMYj+QcsEt42+p2Gtir8rdG3YPmdtjrpxf4vxsXRfqCmXI5UOY3G0yf2z5o0iDdxvUXrJ9SVgeh3tGeuutt4qVKlWqXn7HYYwxxpiT8jWQBHTJyUUiNMApKD4kD2Iyp4kqAVV+VeUBoBzOiq9fgAeAv0VYKMITIlijgPzm1WSc7pYjgc/xyf35HNHp55MGSanaUwtXd7PiVSL/eZkw9lPo7xe4vm0d7mwdwdUV50FkeTea0gzrBpq3fFILn3yDU0fODzTHqzfg1b/zNzBjzkzu/A7gXLDj4A7PZRUv482Ob57U9e2qtOOdK96RG7+40RPuDj+n6oikpqYiIrhcp2eR4eHDh6VQoULn1GtojDHGnOlUOSjC1zhbaoed6Px0HgWW4dTqMucAVfzADGCGCL2Bljj18x4GBouwAKd+3jhV/s2vOAs0rwbwyYPAVmAYPikNPHMqXT7PMv8u3uBZ8X/PzasUIvNITkUe6+Da88Ybr7t++zO15N4d6w6//cEEapSRpI/uC9tKIGlJfgd8TvJJWWAgcCfwF84q0R8L0N9DY06KrcTLBZ3O77R39sbZxB+OP+k5flj9A3VL1k2sVqxathpoZGbjxo3utm3bVomKimpQrly5uiNGjCgqIo0nTJgQBfDzzz9HNm3atEaRIkUalClTpu6DDz5YJiUl5cj1ItL4hRdeKNmoUaOaERERDatXr15r8uTJR7WxHjZsWLEaNWrUioqKalC1atXa7733Xmza2IQJE6JEpPF7770XW6lSpToRERGNNm/e7B49enRs7dq1z4+Ojm4QGxtbv3Xr1lVXrlwZCjBp0qTCjzzySMWdO3d6IiIiGkZERDQcMWJEUYA///yz0KWXXlotNja2fqlSpep5vd6Ku3fvPpIRbNq0aY3bbrutwlVXXXVedHR0g7vuuqv8qbx+xhhjjDk5LlI/acPUZv9KxXcQGYRI2wxri4iURaRBLxneBGfl3hBrhnBuUiVVlamq3AOUBjrg1M57ElgvwhwR+ohQLl8DLYi8qnj1RaAHzp/HyGAzgXOfV/c27Z9ce94/gcg5qwORf64LRHQfmVLuMV9K3L5D6pqz2jn+0Ux/UW4+XBuvLs7vkM8pPimCT14E/gEux0niNcSrP1gCz5gTsyReLuhSu0u8okxYNeGkrk/xp/Dtym+5psY1e041lptuuum8QCAga9euXbpw4cLl48ePP5JgW7x4cdhVV11VvUePHjt27ty5aMaMGX9PmjSpSP/+/Uunn2PMmDHFx4wZsy4hIWHhxRdfvP/OO++snDb21ltvFXvhhRfKvP/+++vj4+MXvfPOO//27du30rGJvi+++KLonDlzViQkJCwsU6ZManR0tH/UqFHr9+zZs2j58uV/Adx8883nAXTo0OHAK6+88m+JEiVSEhMTFyYmJi6877779uzduzekQ4cO1WvUqHFow4YNS+fNm7di9erVhbp06VLpmHsVu/XWW3fv3bt30ciRIzed6mtojDHGmBwSqZ6C5/WpXE5FNvQC+uM0u/gLkRrBcy5BZBawCVj4Ng/MncLlSdspuSz/AjeniyopqkxW5S6gFHAVsApnJc5GEX4V4QER4vI10BwQkWIisijd1yoRSRWRosHxJ0XkbxEJiMh1WczT/ph5tojIn+nGbxeRpcGxhSJyRSbzXCEiy4Jf7dMdv0tEnszw5l79H3A9cCvwBT4pdFIvhjEn4pNC+KQfsBa4B3gKqIFXx+BVf/4GZ8zZw5J4uaBEZAl/83LN941fPv6krp/570z2HN7DLXVuiT+VONasWeOZM2dO1CuvvLKpRIkS/hIlSvhfeumlzWnjr7/+esk2bdrE33PPPXs9Hg/Vq1dPfuihh7Z99tlnxdPP88ADD2yvU6dOksfjoVevXju3bt0aunHjRjfAsGHDSvXt23frpZdemuhyuWjfvv2Bq666as/o0aOLpZ/j1Vdf3VS6dGl/eHi4ut1ubrjhhn3Nmzc/5Ha7iYuLSx00aNDmxYsXR+7duzfTv4Pjxo0rkpKSIsOHD98UFRUVqFixYsobb7yxYdq0aUU2bNhw5JPCtm3bxnfp0iXB5XIRFRVlbX6NMcaY00kkApgmkFFR4POBqYhcCUzDaX4AgIuAXM7U8JLsnImI1cUtQFRJVmWiKrcBJYHrgH+BwcBmEWaI0EuEUvkZ54mo6m5VbZD2hdNN80dVTftgfirQEZh1gnkmHzPPn8CnAMGE4NvA5cGxB4APM5nqOeCK4NcLwetL4SToXs40AK9+C7TDqWU4GZ8UySregkxE3hKR9SKiItIg3fEsE7rHzFFXRGaJyMpgwnW0iISnG28mIouDc/wsImUzieXZYByd0h0TEVknIvHBxwNEZFS68YuD17RMd+xdERl0aq9MFnziwie34yTtn8epx1gFr76GVw/n2X2NOUdZEi+XXFvj2r2T10zmQPKBHF/75fIvqVm85uHaJWsnnUoM//77byhAtWr/bcmtXr36ke/Xrl1baMqUKbFRUVEN0r4eeeSRirt27fKkn6dcuXJHrklLiiUkJLgANmzYUGjAgAHl08/x3XffFd22bdtRc9SoUeOobcETJ04s3Lx58+olSpSoV7hw4Ybt27evCbBly5ajrktv48aNnrJlyyZ7PP+dUqtWrSSANWvWhKYdq1ix4iltQTbGGGPMKbkNjt4OmYKbZdRmLDcxiu7lRnLPx1Np49lFsYyujwby7g2kOaOpcliVb1XpipPQuxHYDrwCbBFhqgj3iFA8y4nODN2B/6U9UNV5qro2JxOISBmgDfBx8FAIIEBU8HERnNWsGUkBIoBIIO3349eBx1Q1Ncsbe/UXnCR7NWAmPjlrVkSeZuOBi+Hoeo7ZSOimdxj4P1WtCdTH+fN6DEBEQnASuA+panWceqFvZBHPAuCudI/bALvSPZ6OU5cyTStgbgbHfs7iHifHJ4JPrgQWAaOByUBVvPoEXo3P9fsZU0BYEi+X3FL3lvhkfzI/rM5ZXWZ/wM+XK77Uq6pddcpbadOSWatXrz6S4Er/fcmSJVOuueaaPfv371+U9nXgwIGFiYmJC7N7j2LFiqW8/PLLG9LPkZiYuHDmzJn/pD/P5XIdqWdw+PBhuemmm6q1bds2YdWqVcsOHDiwcPLkySsBNFj2ICTk+L+K5cuXT9myZUto+pp9K1asCAOoUqXKkcRdSEiI1U4wxhhj8s9lAAGEybTjJvmC6JAD1GUZXvmMvhHv0idseOzlTKUEu6jhWcNLPMZWjqrmcRUiMfkTvjlTqHJIlS9V6YKT0LsFSADeBLaJMFmEu0Q4bnVTfhORFkAscHL1df5zB/CDqu4AUNVdQE/gTxH5FycZckcm1z4KfISzUu9hEbkK2K6q87J1Z68uBVoAhYDZ+KTaST+Lc5SqzlLV7JTvOSqhe8wcq1V1SfB7P/AHUCk43BhIVdXpwccjgatFMt3m/CtQRUTSfqDehfN3JM0coIyIpH3Q0hJnxWZLABGJAyoAv2fjOWWfTy7EaXAzAaf2XR28ejde3ZzldcaYE7IkXi4pE1UmtUmZJge+XP5ljq77beNv7EzcKTfXuXnvqcZQpUqVlKZNm+5/9NFHy+7atcu1a9cu1xNPPHFk+fUDDzyw48cff4wdPXp07OHDhyU1NZVly5aFjR8/Pjq79+jZs+f2V155JW7mzJkRfr+fQ4cOycyZMyN++eWXiMyuSUpKkqSkpJDY2Fh/bGxsYP369Z6nnnrqqGXhZcqUSYmPj3dv27btSNOKG2+8Md7tdusDDzxQ7sCBA7JhwwZ3nz59yrdq1SqhQoUKWX+aaIwxxpjT5dAS6nKRay4dmMyWJtfyxvAwFi6EQ4dD2HfQTeJhF1u3wg8/QLt7z2NI4UGcF7Kel3iMFNzg/E4afoL7mAJElYOqjFOlM05C7zacFUwjcBJ6E0W4TYQzJfnbHRhzwhVvWRCnEcxdpEv+iJPcfhBoqqoVg/f5WkRCj71eVX9R1Waq2gxYirO6q7+IPCQiX4jIsIyuO4pX1+OsNNsJ/IZPLjjZ51NQ5SShKyKROM1Fvg0eqkC6VX6quh/YB5TJYppPgNtFpAjQBGfFW9r1ycBsoJWIhAGVVfUHoFwwMdgK+F01l7a1+qQGPvkSJynoAi7Cq53w6opcmd8YY0m83HRtjWv3TFw9kUMph7J9zZfLv+S82POSGpdpnCs/OMeNG7dOVaVy5cp169evX+uqq66KBwgPDw9cdtllid99992q//3vf8Xj4uLqxcbGNrjhhhuqrFu3Lut/zNN5+umndzz++ONbevXqVTHY4bbeI488Uv7AgQOZ/l2KiYkJvPbaa+uHDh0aFxER0bB9+/bVrr/++qOSlldfffW+tm3bxtesWbNuVFRUg3fffbdo0aJFAz/88MOqZcuWhZcrV67+BRdcUKty5cpJY8eOXXfSL5AxxhhjclVbfjrUSBaiDRrw55/w61wP994LDRpAaLrfMEqXho4d4e23YcsOD08PCuNZzws0cy9gPRXX4WyhNOY4quxXxafKtTgJvR6AAqOAHSJ8K0JXkSNbTk8rESkM3MTRK6BOxmU4q+Ampzt2ORCv6iRBVPV7nC3oFU8w12CcunilgWtV9UZgN9D1hFF4dSfQGlgITMcnbXP2NAq8bCV0gwnVscAUVf36FO73EXA7zp/tOODYGuFpW2qbAWmrMucAzYPHp3OqfBKHT94F/gJqAtcAl+DV2ac8tzHmKKLWxTlTCxYsOM/tdv9cvXr1feHh4Sesu7Y+fr2n8puV633d5Wuuq3ndCecPaIAKr1fQ68+/fttbHd/akhsxH2v27NnhF110Ua3169cvqVixYsqJrzj3HTp0KHTVqlXRqamprRs3bpyjOiXGGGOM+Y8I/YFBzz8Pjz8OLtcJLznKqlVw7RXJbN+QtHdvSlR9VTbmSaDmnCRCLNAJJ4HWFkjFqSE2FpigysHTE4d0B+5U1YszGZ8BvKGq35xgno+Bf1W1f7pjjYBJQD1V3SYizXGeY1xmq6dE5EKgl6reJk7TmDdUtbWIDAD2qOrb2XpiPgnF2Zp7A3ArXh2brevOESJyG9A3+PBNVf0g3dh64DpVXXTMNYWBrUATVV2ZxdwenITbLuAeDb4pF5EmwMfBenmISFTwnJhj/7xF5FmgiKo+JCI/4mzFbYHz/8EiVS0SPK8Fzmq9j3C2V78rIncD5XG2rN+hqr/l7NUJ8kkMzjbuPjhJ4mcA6zZrTB5yn/gUk12VilRKaVi64cH3/3w/MsKT6e7SI9bHr2fz/s3SpXaXU95Km+aPP/4olJSUFNK8efPE9evXe/r27Vu+WbNm+y2BZ4wxxpjcJMLVwKB33oFevU5ujurVYdbvoVx0UWjUgfV8JUJzVaxkhskWVfbirH4bHWx80QnoAviAJBEm4CT0flQlMQ9D6Q68f+xBEemPU8+uBFBHRIYBDVV1p4g8B2xR1XeD58YA1wN108+hqn+KyAvAzyKSgpOguSmLBJ4HGIKTeENVl4jIWhFZhpMM6pTRdRnyajI+6QbsAD7DJyXxZjMBeA5Q1THAmBxe1gVYfIIEnhv4HNhDugRe0ALAIyKtgnXx7gW+z8Z216eBRqr6j4hUOmbsD5wVrF1xVsgBzMTZ7hvHf6vzss8nYcB9QH+cbbMDgGF4Nftb0owxJ8VW4mUhpyvxAAbOGFjy2ZnPls/uPcpHl09e/9D6pSGSOzubp0yZEnnPPfdU3r59uyciIiLQrFmz/SNGjNhoSbz/2Eo8Y4wx5tSIUNLt5u9bbiF6zJhTL8/y11/QsCGBlBQGqvJcbsRoCi4RSgKdcRIqlwKJwHc4K58mqZI79b8KCp8ITn29F3G26D6Nt2C+iRSRkcCVONuUdwP7VbVquvHZwPvpV+0Fjx9J2opIV5yVcUtwtoUD/Kaq9wfPbY7T0KIQsAW4VVWPW6WcfiXeMccrkW4lXvDYJKC+qsalO7YVJ+HYIdsvgE9CAC/wfPA1eBN4Ca/m2qIUY0zWLImXhZNJ4iWlJsmB5Mzrwx3L4/JodFj0sXULTB6yJJ4xxhhzakR4PjaWx9avxx2d7fZYWXvxRXj6aQ75/cSpkpA7s5qCToQ4nFVpN+E0bNiH00RgHDBFlWz9jm8An9yJs+LwQ6An3pNv4mHOMk4itz3wEs5q0Q+BZ/Een1w0xuQta2yRy8LcYVosopg//VfRQkX9OybviHTtcIUcO2YJPGOMMcacTUQId7v5vwce+C+BN3DgQKpUqUJMTAzFixenffv2LFq06JjrhPDwcAoXLnzka+nSpUfG77sPPB5CcZoWGJMrVNmqytuqXIJTA2wAUA34HtguwgcidBDBk6+Bng28+gHOdtyuwHh8Yh2lCwKfNAGmAT8CG4D6eLW7JfCMyR+WxMtjGlC+v/v78uOuH1ftg0s+OH/36t3Z7gRrjDHGGHMGapaaSswdd/x34Oabb2b+/PkkJCSwZcsW2rVrR/v27fH7j65t/v3333PgwIEjX3Xr/lf+q0gRuPFGXB4P156ep2EKGlU2qfKGKs2BSjhbQ+vgJCe2ifC+CG1FrG54prz6PU4TkcuAyfikSP4GZPKMT6rhk3E4NfMKAZfi1Wvw6rJ8jsyYAs2SeHkoLYG36MNFJa945wrCYsLcY1qPqWmJPGOMMcacxZoWLUpKpUr/HahRowaxsbEAqCoul4sdO3awZ8+eHE3cvDkEAjQWIYd9bo3JGVX+VeVVVZoAVYFXgAuAn4AtIowQoaX9XcyAV38DLgGqALPwSZl8jsjkJp+UxifDgeU4W2c7ARfh1V/yNzBjDFgSL8+kT+Bd/+n1NOnVhNt/vl0skWeMMcaYs1yVOnUQkaMPTpw4kSJFilCoUCH69u1Lnz59KFGixFHndOvWjWLFitGoUSPef/+4Zp6cfz74/UTgdPM05rRQZY0qL6nSEKgBvAVcBEwHNonwtgiXiNh7pyOc1VgtgFBgNj6pns8RmVPlk2h8MhD4B7gWp/tsXbz6TUFtZGLMmcj+IcoDxybw6txcB4DIkpGWyDPGGGPM2c7tyaB62JVXXkl8fDy7d+9m6NChNG/e/KjxqVOnsm7dOrZu3crzzz/Po48+yogRI446J/S/34xsO6PJF6qsUuV5VeoBtXG6hLYFZgEbRHhdhOYiSJYTFQRe/RenWch24Ldg7TRztvFJKD55ACd59yBO59lqeHWUNS8x5sxjSbxcllkCL40l8owxxhhzNivFtsCubamZJjCKFi3Kgw8+SI8ePVi8ePGR423atCE8PJzQ0FCuuOIKHnzwQT7++OOjrt2588i31p3W5DtVlqvyLFALqAd8AFwJzAbWi/CqCE0KdELPq7uA1sB8YDo+aZfPEZns8kkIPrkFWAm8CnwMVMGrL+HVxPwNzhiTGUvi5aITJfDSWCLPGGOMMWclkWdf5eHuf60McR06lPlpgUCAlJQUVq9enek5ISEh6DE7tP74A8LCWK/K/twK2ZhTpYqqslSVp3G22zYEfMD1OEX/14jwkggNC2RCz6sHgWuAr4GJwcSQOZP55HKcxOunwC9AdbzaD6/uzt/AjDEnYkm8XJLdBF6a053IK1u2bN3XXnuteF7ewxhjjDHnMJHbgAEX8Zuk+kP4+ef/ht588022b98OwM6dO+nVqxehoaFcdNFFAPz5558sWLCA5ORkUlNTmTJlCm+88Qa33PLfe31VmDCB1ORkZpzGZ2VMjgQTeotUeQKnsUMT4EvgFuBPYJUIz4tQr0Al9LyaAtyOU0/Qh08ezOeITEZ80hif/ARMAbYCDfDq7cGt0caYs4Al8XJBThN4ac62FXmpqan4/f78DsMYY4wx+eNRgMqsp41rOm8O/a9U0k8//US9evWIjIykXr16bNu2jalTpxIXFwfA5s2b6datG0WLFqV48eI88sgjDB48mN69ex+ZY/ZsWLwYtyrHd7ww5gwUTOjNV+URoBLQHPgeuANYDCwXYaAItfIvytPIqwG82g/nZ8Ub+GQwvmNb4Jh84ZMq+OQznNV30UArvHolXl2Sz5EZY3LIknin6GQTeGlyO5E3ePDgEuXLl68TGRnZsFixYvU7d+5c6dJLL622devW0CeeeKJCREREw6pVq9YGJyn39NNPl6pUqVKdqKioBnXq1Dl/3Lhx0WlzTZgwIUpEGr/33nuxlSpVqhMREdFo8+bN7tGjR8fWrl37/Ojo6AaxsbH1W7duXXXlypVH4g4EAjz55JOl4+Li6kZFRTXo0qVLxSuuuOK8zp07V0o7Z9euXa6uXbtWKFOmTN0iRYo0uOyyy6ouX778jE5iGmOMMQWWSAROkX8A+vlf5qfpbiZNch5PmDCB7du3c/DgQbZu3cp3333HBRdccOTyq6++mhUrVnDgwAHi4+NZvHgxPXv2PDKemgr9+qnf42E+8PvpelrG5JZgQm+OKn2BCsAlwE/APcBfIiwV4WkRzv0url59BbgTJ5k3Cp9Yo5r84pOS+ORtnLp3jYAbgAvx6ox8jcsYc9IsiXeK9m3a5144emHJC3pdkOMEXprIkpHc+MWNsm/zPs+8t+ed9JbXpUuXhg0aNKjcV1999c/BgwcXrl27dmmPHj12zZo1a3VcXFzyiy++uCExMXHhP//88xfAoEGDSr333nulPvnkk7V79uxZ1Lt3721du3at+uuvv0akn/eLL74oOmfOnBUJCQkLy5QpkxodHe0fNWrU+j179ixavnz5XwA333zzeWnnDx8+vNjw4cNLf/rpp2v37Nmz6MILLzw4ZcqUImnjgUCAK6+8ssr+/ftdCxcuXL5169bFtWrVOnT11VdXS0pKsk/rjDHGmDNPkkJS2oMOTOJmGcsd3VII7qI9JS+8AIv+SHV1Sxn9jCp64iuMOXOpElDlV1V6A+WAljh1xx4A/hZhkQhPiFAlP+PMU179ELgOZ5vxV/gkIsvzTe7ySWF88gywBidx939AHbz6JV61n7HGnMUsiXeKostFp9a/rf6O+SPm89cXf53UHIm7EhnfZbxGxUWlNLm/ya6TjcXj8aiqyqJFi8L37NkTEhMTE+jYseOBzM7/6KOPSvzf//3ftosvvjjR4/Fwzz337L300ksThg8fflQi8dVXX91UunRpf3h4uLrdbm644YZ9zZs3P+R2u4mLi0sdNGjQ5sWLF0fu3bs3BMDn8xW7+eabd7Vu3fqgx+OhT58+u2rWrHmk/PXs2bMj/vzzz8Iff/zxv6VKlfKHh4fr22+/vXnz5s1hM2bMiDzZ52+MMcaYvCFw4ZfpOsYKMELvJTJhC20vS2Hr1pOf++234dln4dVAH0bTvdupR2vMmUMVvyozVekFlAHa4jTD6Af8I8J8ER4RoVJ+xpknvDoB5/leDEzBJ7H5HNG5zycefNILJ3n3MPASUBWvjgzWLTTGnOUsiXeKJES49oNrN9brWm/Hl7d8meNEXuKuRD5q/ZEe2n0o9bafb1tZvEbx5JONpWbNmsmjRo1aO2bMmOIVK1asV6dOnfNHjhxZNLPzt2/f7qlatWpS+mPnnXde0ubNm4/a1lqjRo2jYpo4cWLh5s2bVy9RokS9woULN2zfvn1NgC1btngAtm3b5qlYseJR85YrV+7I4xUrVoT5/X4pV65cvaioqAZRUVENYmNjGwCsX7/ettQaY4wxZwgROV9EvgF+fQrWJMGOtLEiJPBz6qUkrdlE04Yp/PBDzubeswe63xmgd294kcf5P94BuDG4ddeYc44qqapMU+UeIA7ogFM770lgnQhzROgrQvl8DTQ3eXU2ThKvIvALPimbzxGdm3wSgk9uApYDb+B0T66CV18Idg82xpwjLImXC042kZebCbw03bp1i//ll19W79mzZ9FDDz207b777qu8ZMmSMMmgpmypUqVS/vnnn7D0x9atWxdWtmzZo+JwuVxHllwfPnxYbrrppmpt27ZNWLVq1bIDBw4snDx58koADa7MLl26dMq///571LybNm068rhMmTIpHo9Hd+3atXj//v2L0r4OHz7857333rvnVF8DY4wxxpwaESkjIu8By3A6cF65Ci4Kg8bAB0AKQEU2MDu1CRft+Jorr4Rrr/YzZQoEApnPvW0bDBkCNaumMPGTPXzBDTzOkLRhD2Cr8s05T5UUVSar0h0oBVwF/A0MADaI8KsIvUUok6+B5gavLgdaAC5gNj6pmc8RnVt80hqYC3wOzAFq4NU+eHVn/gZmjMkLlsTLJTlN5OVFAm/x4sVhY8eOjUlISAjxeDzExsb6AVwuFyVKlEj5+++/C6U//9Zbb935zjvvlJ49e3Z4SkoKo0aNip05c2ZMz549M93Sm5SUJElJSSGxsbH+2NjYwPr16z1PPfXUUZ+o3XLLLbvHjh1bbObMmREpKSm8+eabxVauXBmeNt6+ffsD1apVO3TbbbdV2Lx5sxtg586drg8//LDI/v377e+kMcYYkxc+C/2YseF/4JNCmZ0iItEi8jzwD9AR6A40UNUfVFVR3YTqXcBtadcUZzefaxd+oCM7Jy2gfXsoVyqZa6/28/TTMHSok7S7915o1jCZcmUDvNR/P133DmNFajVu4Mv0IawHdufJ8zfmDKVKsioTVbkdJ6F3HfAv8AKwSYSZIvQSoVR+xnlKvLoRZ0XeVuBXfNI0nyM6+/mkAT6ZBEzD+bnZCK/eilfX5XNkxpg8ZJ2CclFaIg/gy1u+LAlQ+8bax52XFwk8gKSkpJAhQ4bE9ejRo7KqSlxcXPKwYcPW1a5dO+mpp57a8vDDD1eIiooqHhcXl7xq1arlAwYM2O73++Xmm2+usmfPHk/FihUPjxkzZs2ll16amNk9YmJiAq+99tr6IUOGlOnfv3/58uXLJ91///3bZ86cGZN2zv33379706ZNni5dulQ9ePBgSMeOHfe2atUqISwsLADgdruZPn36qkceeaRM06ZNz4+Pj3dHR0enNm3a9MANN9yQkNm9jTHGGHOSfHIN0A0lADwOPJt+WERCgZ7A0zir4Z4F3lbVQ2TsC+B5+K8wf0cm0TF1Ess5n693dWLRhIaMn9KQAxTGhZ/ygQ00Tf2Dh5jNdYFvCOdwRvMORTWLdXzGnNtUOQx8C3wrQjhOMr0L8ArwtggzgLHAV6qcdC3tfOHV3fikDc7Pj+n4pDNenZTfYZ11fFIJ5+dvV2AB0BavTsvXmIwxp42oNafJ1IIFC85zu90/V69efV94eHi2E20aUL6989vySz5dUrLzZ52PSuTlVQLvTFezZs1anTp12vPiiy9uy+9YDh06FLpq1aro1NTU1o0bN16b3/EYY4wxeconkYhnFRU6lya2UQiLHk+FQC28ulpEQoAbgcE4XTSHAYNV9YSr4b4XadEAZpV3tsidsrHw981wvtovp8YcR4RI4EqchN4VOMn2acA44GtVzp6SND7xAP/D6Vx7B179NJ8jOjv4pDjwFNAL2IhTS3E8Xvvgw5iCxLYu5oHMttYWpATe+++/H3vgwAFJTEyUgQMHllyzZk2hrl277s3vuIwxxpiCQkQKichvNfqxovFT/rjP/rk0hJoPQXR1FqxzfSwiqThF0D8DZgM1VLVfdhJ4IiLXwJPnw5YtzhvKccCSHIa4BfgUePEeuPtmqAHclcM5jCkQVDmoyjhVOgMlcba0HwKGA9tFmCjC7SLEZDnRmcDpknoHTgOGT/BJn3yN50znk0h88hSwFvACfYDz8eo4S+AZU/DYSrwsnOxKvDTpV+RdOfxK5g2bVyASeAAtWrSovnTp0ohAICCVKlU6PGDAgM033XTTvvyOC2wlnjHGmIJBRGTT29QvW1TmJ9R42VXnujfZuHEj7PyNG6+6mF/+hu0J/AHco6qLcjh3b+B14FJV/S3dQG+FAQJF052eBBxpcKWgAt8Ad6Ean27OIcADQBNVzV6XMGMKuGDS7hqcFXrtAAUm42y5/V6VM+L370z55GGcrcJDgCfw2pvTI5wVi3fhlDcojPM6vYZXD+RnWMaY/GU18fJQ+hp5E+6dUDKqTFSBSOABzJ49e1V+x2CMMcYUZPopgnhGUKS2Hih5E/XqTQdgysKD1KhVH497ScqCtTrw7605TuA1xHkz+exRCTwA1bfKiSxvDD+9BI/Wgj+B6UAdoMUDMGgBfDJbNaOVN/2BS4FxItJEVTOt0WuMcaiSAHwMfCxCLE5TjC7AR0CqCD/gJPQmqHIw3wLNjFdfxSc7gNFAKXxyN15Nze+w8pVPBLgep8zBecC7wCC8uiNf4zLGnBFsO20eS0vk3TD2htV3zrpzRUFI4BljjDHmjHB7/MGUZpcOEne9Bg3p1KkTfr+fIUOG8Ngr3+Bxu91PXUf3nEwoIoWBz4E5OG8wj7MFGn8P22rDq6hOQzWA6hJU3x0GM35P1wwjPVVNwamRVQZ4M2dP1Rijyl5VPlClA1AaZ2VrFOADdoowToQbRIjI10CP5dUx/Lea8Gt8cmbFdzr55DKcn6/jcT4EqYlXH7AEnjEmja3EOw0kRKh9U+0zeym7McYYY84dPimGuF8v0qCnzJr9Njt37uSCCy7g4MGD3HDDDUQVr4QUbyrli/12HT65AK/Oz+bMbwLFgTaq6s/knGbAnEwaVMwHHsxsclVdLyLdgS9F5GdV/SybcRlj0gl2rn0feF+EkkBn4Cac+pWJInwX/H5SsCNu/vLqD/ikNTAR+AmfXI1Xz55mHafKJ/WAF3GalkwFLsCrC/I3KGPMmchW4hljjDHGnHPk5eSU1BiNrAxrRhO5fTxhIUmsnPcNX306jA6X1uWn3/7isc9dsmiD+2N8csIOsyJyM059pu6quimTcwS4EJibyTQLgDgRKZPZfVT1K+Ad4D0RqXaiuIwxWVNlhyojVGkFlAUeB8oDXwM7RPhYhKtE/qtdmS+8Oge4OBjbL/ikXL7Gczr4pCI++QhYBMQB7fDq5ZbAM8ZkxlbiGWOMMcaca9yRiSs2JB6+v1O/0BCB5BR49kpJ9V6068jquduGB0LvuExSG1QO24U/NcsOhyJSGRgJDFfVb7I4tRzOG9E5mYynvTFtjNOdNjMPAxcBn4tIC1VNOhLLQAnRAdaR0ZiTocpWYBgwTIRywA0421i/BxJE+Bqnht40VVJOe4BeXYFPLgImAbPxSXu8uuK0x5HXfFIMeBL4P2Az0BUYa91mjTEnYt1ps3Cq3WnNmcm60xpjjEkjIm/h1GKqCDTMqEuriNyJU3S9U0YJrGCduC9xElNuVS1yzPhVwKuAC1gK3KGqx5XZEJEPgduBRqq6MHgsCtgK/KOqDUTkA2CNqj4fHO+GU9S+sqquDx6bBHyhqv/L4cuRIRHxALNwuiM2VdVDWZx7I07NvBjVjDsoisga4GNVffYE962OUxPqf6r6oAyUQsDzLnFd61f/7TpAZ5/cMzLGHEuEisCNOFtumwB7gK9wttxOV+X0NpvwSVGcxGJN4HngPbx65jXmyCmn3t+DOKshk4HngJF41d5rGmOyxbbTniY7d+50LV68OGznzp0n3K5ijDHGmNNmPM72rX8zGhSRSsDdZL6yDCAFGAK0zeD6wsD/gOtUtRrO6rOns5hrAc6W1TRdgPSrUKYDLdM9boWzdbVl8H5unOfzcxb3yKlngQbAzVkl8IIuBJZllsALmg9ccKKbquoq4F6gt7SQfp4Qz5Jwd/hDTcs2rSzIrzJQXpKBkr/b/4w5R6jyryqvqtIUp/nMKzgfTEwBtorwrgitRDg972WceniX4yQTXwMS8MkUfHI/Pql0WmLITT5x45MewGrgKeANoApefdsSeMaYnLAkXh5btmxZWLt27aqULl26QYMGDeqULl26Qfv27assW7bsrPmls2nTpjV69+6dae0aY4wx5mylqrOyqO8WAozC6fCYlNE5wTmSVPVnID6D4Y7AQlVdGXw8HKcDa2a+Aq4SOZKcSlsFmGY60FxEQoOPL8Ypht4y+LgJsEtV12Vxj2wTkdbAE8BDqvpXNi5pRub18NIsABoH6+dl7VnGcS2LpJ28emG5C89bfv9y1293/eYaceUIKeQu9LAnxLNIBkrDbMRljMkmVdaq8pIqjYAaOA1tWuB8OLBZhGEiXCKSx+8lvZoI9Ak+cuF8UPImsA6f/I1PXsInF+OTM7dElE8En1yHswp7BPANUBWvDsB7/IpsY4w5EUvi5aFly5aFtWjR4vyff/45JhBwyhsEAgGmTZsW06JFi/PPpkSeMcYYUwD1BX5TPaUC4xU4epXfepzGDpm96UwEfgKuE5GagJBuJZ6qbsTZXttMRCrgrFKZgvMGG5yVebmyCk9EigOf4BS/fy8b53twVu5ktWoRnJV4pYEsPyCUgVLbvc29VBZKg8rfVCbwv4Br5+qd7Nq1i9H3j8bzssdVYW2FaoL8IQOlvww8g9/IG3OWUmWVKs+rUg+ohZOIao2zxX6jCG+I0DwPE3qTgF3B7wWOrASsjvMz+hfgrTy696nxycXAbzg/Q5cAtfDq/Xh1W/4GZow5m1kSLw/169evXGJiYojf7z/qk2a/3y+JiYkh/fr1O/c7LhljjDFnIRGpA3TGqcV0uo0Guge/PshgPG1LbUtgZnCL645g84mWwfFTElwl9wGQCtyt2SuiXA8oxImTeH8G/9s40/sPlLYhErKoVpVaVeb+PJc1i9bw3nvv8eCDDxITE8P3339P3z59efKSJ12vXP6KyxPiGegS17TsPDdjzMlRZYUqA4HaQF2cn1VXALOB9SK8KkJTEU68yja7vJoavE9GTTY8wf/Oz7X75Qaf1MYn3+EkGA8DTfFqF7y6Op8jM8acAyyJl0Mi0ji7X1OmTClybAIvjd/vlylTphTJzjw5ia9p06Y17rzzzvJXX3115aioqAalS5euN2TIkBLpz/n8889jateufX5UVFSDSpUq1XnmmWdK+f3+zKYEID4+3t2uXbsqkZGRDStUqFBn2LBhxdLG3nrrrWKlSpWql/78vn37lmncuHGNtMeDBw8uUb58+TqRkZENixUrVr9z586VcvK8jDHGmNPsEqASsFpE1uPUentPRO7L4TwbcJpmpKkEbFXVTIvEq+ocnFVqN+M0iTjWdJwVd62AGcFjM4F2OB1dc2Ml3v/hvDnvqqp7snnNhcA+YGVWJ6lqPPAPWdfF+zegAfcrnV5xN6nSBICwsDBcLhehoaGULFkSgJCQEPq16EfjMo0Dim7NZpzGmFOgiqqyTJWncbbbNgQ+BTrhbKdfI8JLIjTKpYTeR/yXsDsqFOAOvDo6g7HTzyfl8clonFV3FXHKKbTBq3/kb2DGmHOJJfHOQePHjy92991374qPj1/00ksvbXjyyScrpG3dnTlzZsStt95apU+fPtv27Nmz6OOPP1777rvvlnrhhRdKZjXnuHHjit9xxx274uPjF77yyisb+/TpU3HKlCmR2Yln6dKlYYMGDSr31Vdf/XPw4MGFa9euXdqjR49dJ77SGGOMyR+qOkJV41S1kqpWwllddo+qjsjhVJOARsGtsQC9yDgxd6wHgYdVdX8GY9NxEmaXAb8Gj80E+gGbVXVzjiL0SRc+D/8Fn5QDEJH6ON10n1PVX3IwUzNgnqoGsnHuArJYiacDdHWoK3TJZ8s+U4DU1FTuv/9++vfvf9y5GxI2MGfTHHdAA74cxGqMyQXBhN4iVZ4AquLU5RyP8yHEAmCVCC+IUO+kE3peXQ4swknapbc4eK/85ZNYfDIEWIWz1fh2oCFenYQ3W6uYjTEm2yyJl0OquiA7Xzt27FgUEpL1yxsSEsKOHTsWnWiunMbYoUOH+GuuuWa/y+XijjvuiI+Ojk79/fffIwBGjhxZomXLlgk9evTY6/F4uOSSSxLvv//+bR988EGJrOa87LLLErxeb4LH46FLly4J7dq1ix81alTx7MTj8XhUVWXRokXhe/bsCYmJiQl07Ngxq651xhhjzGkhIiNFZBNQDpgsIv9k87rnRKRnusdLgN+BaBHZJCIfAwSTcD2Ab4JzlwMGnWh+VZ2mqmMzGduKs8JvR7ousLOByuR0FZ5PiiHukQSSLkZcb4lIJE6ScS7wQo7mchKLJ2pqkWY+cEFWzS2S/ckfj18+3n8o+RC33nor1157Le3btz/uvHF/jcMd4j4ATM5hvMaYXBRM6M1X5VGcn0fNge9xklqLgeUiDBSh1klM/z5OEk8BP/A4UB6YSnVpjcjHiOxB5CAisxC5FRERIVSEC0W4V4TXg1123xShtwiXipCtRQkZ8kk4PnkEWItT/uAJoAZe/QRvtj7MMMaYHLMCwHmkRIkS/rZt28ZPmzYtJqMttS6XS9u0aZNQokSJrPexnoS4uLij2pRHREQE9u/f7wLYvHmzp0aNGofTj1erVi1p27ZtoWShYsWKScc+Xrx4cUR24qlZs2byqFGj1o4cObJE3759K1asWDHpgQce2H7vvfdmd3uOMcYYkydU9d5sntfymMfPHPP4qLISx4x9B3yXjXvckcnxGUCDY47VPObxATLebnYC8jKhRSK54B34rUune9vw5chplALaZ7Xl97hZRIoB1ThxPbw0C4CSQFkgw+7AwNgDSQdeufqWq2nbpC333ZfxTuaPl3yc4g/4x+kAzbSDsDHm9FJFcX4ezBHhYZyEXhfgHuAZEf4CxgLjVPk7G1N+jtOZFqATXp2AT77lF35lLcfWw7xkPRUveYIXH/d4NC4lRWLDw/HXqIG/cGHk8GH0778J2b8ft8tFogifAO+osiRbT84nLuA24DmgGPAa8ApeTcjW9cYYcwosiZeHhg4duqlFixZRxza3cLlcGhERERg6dGhmv7TmmbJly6asW7fuqK64//zzT1jp0qWTM7sGYMOGDaHHPA4rU6ZMCkB0dLT/0KFDRy073Lp161FvJLp16xbfrVu3+JSUFD766KPYe+6557zmzZsfrFevnv3CbYwxxpxGIlIImFY0kvDKJWnY76FbaN64Kd7BRdGkPe1DhH8CSjWc1X7Z1TT43+yuxEtrbnEBmSTxdIBudN/oXjn9++k1U3enMmnSJIoWLcpXX31F+/btWb16Na5QF/+E/uOhM5/lIFZjzGmkSgCnS+tvIvQBLsZJ6D0APCfCYmAcMFaVNRlO4tU9+OSS4PfOhwVd2YwQmn6TbTIehtKP50KepURJqfXkvcLNN0P16rhCQo50tkUVNmyAL78k4t13ufOff7hbhDeXUPenuiy7BagJHAC+AsagmoBPBLgKeDE4Pgp4Dq9uybUXyxhjTsC20+ahOnXqJM2ePXtFmzZtEtK21oaEhNCmTZuE2bNnr6hTp85pT2D16NFj14wZM2I+/PDDIqmpqfz222/hw4YNK3377bdnWaNu5syZMZ9//nlMamoq48ePj54yZUqR7t277wJo2rRpYmJiouv999+P9fv9TJgwIWrixImxadcuXrw4bOzYsTEJCQkhHo+H2NhYP4DL5crsdsYYY4zJO0nPdKLt7lGe8KmvX+Z/9JWvKVeuHL/OWcSvgyJ05tNMwamJlxMXAmtVdWd2TlbVBGA1WdTFA/DX8b/tecYTuP+d+3lg+AN0fb4rXy7/kntev4dXJrzCxUMuxnOjZw//NfgwxpzBVPGrMlOVXjgNfNriJP/7Av+IMF+ER0WodNzFXp1zJIHnuAUlKu3BXorQ1jWD50Kf5+lBYfzzbyjPPgs1a8KxVY5EoGJF6NsXVq7E8/77SJEo/4M3ub+auJ6K3XA+YGgJvAUs5g65EZiFs6r6b6AOXu1pCTxjzOlmK/HyWJ06dZImT568ZufOna4tW7a4y5Qpk5oXW2izq3Xr1gc//PDDNS+88EKZ//u//6tctGjRlLvvvntH//79t2d13Y033rh79OjRxbt3735e0aJFU1555ZV/O3TocACgVq1ayYMHD97w9NNPl+/Tp0+lVq1axd900027Fi5cGAmQlJQUMmTIkLgePXpUVlWJi4tLHjZs2LratWvbKjxjjDHmNFNVxSf/h1L9YI1BIfXqvYTb7YbC5aHBYAlf0+feUtH6bQ6nbUb2t9KmmU/WHWoBxif5k966afxNWZ3j0wHZ3/prjDkzqJIKTAOmifB/OB23u+DUlhsiwjycLbdfqLLxqItFSgN3pT08QCSXu6ezrWht5k11Ubdu9uMICYHu3aFDB5d0bFuJy/75jd9Sm1GOIz2CKjKLcbRjFtD8mESiMcacVqLWMCdTCxYsOM/tdv9cvXr1feHh4VluNzVnj0OHDoWuWrUqOjU1tXXjxo3X5nc8xhhjzGnlkwrxiSGrrhlRLuyv9QcYMmQIPXr04O+//+auu+5k1bJ5vNFNl3e9KFAnO50VRSQE2A0MUNW3shuGiPRzhfBY4gdcGupmHd6Ma9rJQDnR0n3lWTzAUKA9cBhYrKrdgvcJy2zsmHhaAy8BhXGK508EHlfVgIhUAtYAS9Nd0llVj9v6JyIf4hTyb6SqC4PHooCtwD+q2kBEPgDWqOrzwfFuwMdAZVVdHzw2CfhCVf93gudvzDlFhFCcFXpdgOuAaJzmPWOB8Yq4gV+ACmnXdJf/8W30rcyZ76Fq1ZO/9+7d0KJJCnEb5jDN3xIX6fpThHARfp198rMbY8yps+20xhhjjDEFibiHFSlRMWTWvL9ZuXIlgwYNIiEhgRo1avDbb7P5/aexPDE2UAu49YRz+aTF3Od4GCjCSazE69mGEqFuVgADMjtJB6j/BF8BnOSbAtVVtS7wcLopshpLby9ws6rWwtnm2wKneH2a/araIN1XxrW7HAtIt0oIJxmxIt3j6Thb9dK0wtlS2BJARNw4dcNy1m3YmHOAKsmq/KDK7TgNcK4F1uN0zN70PVf9QboE3gSuZLTexagPTy2BB1CsGHw23sNsWvA2Dxw9GKDGqc1ujDGnzpJ4xhhjjDEFhU+uSU5JvVor3Ohh+0wi980mzOWHrdNgy2TYMpmY8FQKR4aDuN/AJ0WzmCsWcX/ftApDrm1MCrAoJ6GMfYAtL3ldEFMHkEfxSa2TeUoiEgl0B57S4BYTVd12orFjqepCVV0b/P5w8PlUOpmYcIrhXxVcBQhwJzA63fh0oLmIpDUOuxinWH7L4OMmwC5VXXeS9zfmnKBKkirfqdIVKFmR9V078mPx9Oe84B7AtVf5ue465/HAgQOpUqUKMTExFC9enPbt27No0aIj58+dO5err76a0qVLEx0dTd26dfnggw+OjDdqBL0fcvGy+0mSj276bfXvjDH5zpJ4xhhjjDEFR7G/t8Blt7xMy7YdaNPhOp67cjPzPurMpa070KptBzrdcDNvdz0EGggHCmU+lbyAJyo6UOYq3r/HjX569LvdDK8QKSQiv4nIjKfGMffrRVHQbjbT1lfiwgHMFpHpIjI4h8+pCrAHeFJE5ovILyLSJhtjWcVZGrgBmJDucKSI/CEif4rIMyJZbvNNBH4CrhORmoCQbiWeqm7E2V7bTEQqBGOcgrP6D5yVebYKz5h0VDm0nsoz3PiPvIf9gwuYk9qEfo/+97/jzTffzPz580lISGDLli20a9eO9u3b4/c7Zcl3795N586dWbJkCQkJCbz11ls8+OCDfPPNN0fm6N0bdgSK8yWd0w6twfl/2hhj8pU1tjDGGGOMKTg+qluBr2Y9c/zA5ccVgg/48eqB9EdEpBAwLTaSQueVpFG/3l1oXucuGlw5wVMqmhWruspa4DVV/S6T+ycBLfVTWiYkMqXOM26ueDqZV6aWcs14al1MoVA+xKsf5fA5uYGKwHJVfVxEGgI/iUjtrMZUNcOmXiISDXwPvKyq84OHtwJlVXWHiBTFqc3VD3g5i7hGA88Bi4EPMhhP21L7LzBTVQ+JyA4RqRw8/nH2XwJjCoydOP8/xgH8TGviiidz8cWhR06oUeO/Xa+qisvlYseOHezZs4cSJUpwxRVXHDVhq1ataN26NdOnT+e64HK+ChWgeRM/P89tzS18vh+4E9UAxhiTzyyJZ4wxxhhTUHg1ACScwgxJD3Wgzeu3ef6IL9TYX7f3BNcv1z1Gg9pVmfHQmjKgV+DVZZldHOyM60I87+0v0jJQr6EnZOLEiZQsV43r399C4t4NoxKelO0L1+ukHMS0AQgAnwbvsVBE1gF1cbbEZjZ2XBIv2IBiEvCtqr6WLu4kYEfw+z0iMhrwkkUST1XniEgZ4Hwgrc5eetOBHjhJvLHBYzOBdsBFOFtwjTHpqaYi8hbO9nPmyYU0a+5C5OjTJk6cSNeuXUlISEBE6NOnDyVKlMhwyn379jF37twjCbw0zS72MH7hVfEk0xTV1XnxdIwxJqdsO60xxhhjTAaCWz+/EZFVIrJYRH4SkarpxkuKyCQRWS0iy0Tk0izmekxElovIIhGZIyJN043dLiJLg2MLReSKTOa4Q0RURPocc3xm8HiR4FxT042VC47dke7Y4yJyUqu8VFVfv5V7IVDrYM0XXfXq1QNg2dq9XPxCRMjVr8r0EtFSMqs5Nu5mwKUDUyvVv/ePkE6dOrF582aWL1/OVz/O5cP/K8L2BD4XOfYteZYx7QKm4XSfJbiSrTKwIquxY+cRkcI4CbxJaV1j042VFBFP8Psw4HpgYTbCexB4WFX3ZzA2HbgQuAz4NXhsJs4Kv82qujkb8xtTEL0CjAHY5K5E5arH72y/8soriY+PZ/fu3QwdOpTmzZtnOFFycjJdunShZs2adOt2dNPq886DLRoXYgk8Y8yZxJJ4xhhjjDGZew+ooar1gW+BUenGXgLmqGo1nFVTvrRET3oi0gDoBTRV1QbAsOAXwa2ZbwOXB8ceAD7MIp6FwO3p5q4KhKcbP7ZhwlFdT9MdO7l6az4pG58Y8uKlr5YJqXdxZzp16kRcXBzr1q3j11kz5OpGWrxMLF9lcX218sVCHp719cusXLmKQYMGERERQcuWLSkUXZpKV7zjrlCMmAkPk2EiMws9gUdEZCnwDXBvuiRYpmMiMkpErgme9yDQFLg+mFBdJCJPBccuBhaKyGLgT2AbTqfMLKnqNFUdm8nYVpxVhDtUj2xbno2TZLR6eMZkRtWP6u1A8z1SdHdWKf+iRYvy4IMP0qNHDxYvXnzUWGJiItdccw1JSUl8//33uN1Hb1LL/kcJxhhz+lgSzxhjjDEmA6p6WFV/SOtqCszh6G6lNwHvBs/9A6dz4WUZTQV4gMjg4yLApuD3IThND6IyGMvIBmCniDQJPr6LdPXWVHUDToIpbaVfS2AI0BwgmGS8CCfZl3PierNI8bLuWXNXsnLlSgYNGsThw4eJioqCYhfQ7Y57SU6lOT4pdty1PpHDKa73AlHVoMaDREZGEhYWRocOHVi4cCGqSnxMR3YlFqJDA/fL+CTbZV9Uda2qtlLVuqpaX1W/zOZYj7T6far6gqp6VLVBuq8XgmNfqWqd4PW1VfWB4BbbjGK5Q1XfyOD4jGCiNv2xmqp6YbrHB4Ix9MzuczemwFKds85fce6GDWhWpwUCAVJSUli9+r8FdXv37qVt27a43W5++OEHChcufNx1GzdCSAi7cj9wY4w5eZbEO1127nSxeHEYO3dm1cnslDVt2rRG7969y+TlPYwxxpgC6kGc1XiISDHAo6rb0o2vByoce5GqLgZeB9aJyCagD86Ku7StoD2BP0XkX5xmCHecII4PgLuC3VFvAj47Znw6zmo7cFaQ/QSkNUxogrPya/2Jn+4xfNIhOcXfWS8Y4cEdcSQJl97PO1tRs1yogGRUK67N6q3+li2f2Ohu2SiONk3KMfDmaK2x7VG9suZ2vbR+cdq3OI/X7imrLkmthVNzzhhjMuX3M2f2bFLSH3vzzTfZvt0peblz50569epFaGgoF110EQDbtm3jsssuo3z58nz99dcUKpRxE+7Zs0lNSjqy1d0YY84I1tgiry1bFkbfvuWYNq0IgQCEhEDbtvEMHbqJOnUy/AT3bPLtt99GvfTSS3ErVqyISEhIcC1dunRZnXPgeRljjDHpiciTQFWgzUlcWxmnhlpVVd0iIv+H08jgYhGJIbiNU1VXiMjVwNcicr6qJmcy5VfAYKATMFdV448pITcdJ8n3EbBHVQ+IyEycVXlxnPQqPE/3v7ekcP/lVxMikJQCAzu6Az8/V4JBX6WGRBWCUI/oez0UJOQWfPJ/ePVQuhl+r1uBMbOeTHRDYvDQAti8gL4XQd+L0k6LT/tm8knFaYwpSGZu2cJzf/4JjRo5B3766ScGDx7MgQMHiI6OpkmTJkydOpW4uDgARo4cydKlS1mzZg2xsbFHJrrkkkv48ccfAdixA2bPJgSnTqUxxpwxLImXl5YtC6NFi/NJTAwhEOxIHgjAtGkxtGgRxezZK872RF7hwoUDXq93d4kSJbbfcsstVU98hTHGGHNmEpHbgL7Bh2+q6gfB4w/jJOHaqmoigKruFpFUESmdbjVeJZztrsfqDCxV1S3Bxx8Abwfr1l0OxKvqiuC83wc7n1YEMiymrqqHReRHYARwcwanTAfeBzrw3xvQmcCtOEm8D0/0WmRIUx6rW4EfZj2dfueaswCm05G+q8Ex9f97TAIPvHqQdPX8jDEmF/zi8bBy6FBqfPopAjBhwoQsLxgwYAADBgzI8pwRI8CjSckphH2ee6EaY8yps+20ealfv3IkJobg9x9dFtXvFxITQ+jXr1xe3DY+Pt7drl27KpGRkQ0rVKhQZ9iwYUfq0rz11lvFSpUqVS/9+X379i3TuHHjGmmPBw8eXKJ8+fJ1IiMjGxYrVqx+586dK2V2rzZt2hx84IEHdjds2PBQZucYY4wxZwNVHZOuFlpaAq8vcAtO44n4Yy75AmcrLMEadWXJeNXGWuCiYPdTgKuAVcGVdmuBBiJSOjhPc5wPWTeeINzXcGrdHdcAIZgs3Ag8DMwIHp4NXIJTG+/kVuJ5dS1e/SCbX9aYwRiT51TRlBSe/+wzZMaM3Jlz1Sp4+cVUHkl9sZAid+bOrMYYkztsJV5OiTQ+8UnZ4PcLU6YUydZ8qgtyMvW4ceOKjx49es3EiRPXfPXVVzHdunWrUr169cPt2rU7eKJrly5dGjZo0KBys2bNWtGkSZPDCQkJIbNnz47Iyf2NMcaYc4GIlAOG4iTapge3rCaparPgKY8BH4vIaiAZ6KaqKcFrnwO2qOq7wNc4tejmi0gScJBgvTdV/VNEXgB+FpEUIBW4SVUPZxWbqq4GXs3ilOlAd3DqOanqQRHZFox/SxbXGWPM2cYXEkKXW26h46JFuEuVOvmJDh6Erl1SqOFfwRO8CPAMIqPIpJGNMcacbrYS7xx02WWXJXi93gSPx0OXLl0S2rVrFz9q1Kji2bnW4/GoqsqiRYvC9+zZExITExPo2LHjgbyO2RhjjDnTqOomVRVVrZJuhV6zdOPbVbWdqlYLdiydnm7smWACD5zablcCh4F9wP0a/IBORDrgbHNNBQ4Bd6nqT5mEVAqoLiKLRGSOiDRNN3YhMFNEVonIz8CgYJfTI/+Gq2pz4HMRURHplHZcHOtEJD74eICIjEo3fnHwmpbpjr0rIoOy+1qeDBEpJCLfBJ/TYhH5SUSqpht/UkT+FpGAiFyXxTyVRMQffN3SvqqkG79KRFaKyGoR+UpEojOZ58Pg69Aw3bEoETkgIouCjz8Qkf7pxrsFr6mU7tgkEel+ki+LMeYYqqjfz127d7P5kktI2ZBRUYNsiI+HK9unsnZpIr7UmwgjGaAkwe7exhhzJrAkXk6pLsjW144diwg5wcsbEgI7diw64Vw5VLFixaRjH2/evDk0O9fWrFkzedSoUWvHjBlTvGLFivXq1Klz/siRI4vmNAZjjDHGHHGTqtZT1QY422A/BBCRWOBT4HZVrQc8Enx8HBFpAPTCaYDRABgW/EJEQoLXPaSq1YEfgDeyiGcBcFe6x22AXekeT8dpgpGmFTA3g2OnY8vse0ANVa2P0xl4VLqxqUBHYFY25tmfLhHbQFXXAAS3OP8PuE5VqwFbgKezmOfY164LsCLd4yxfOxFx43QMtu3GxuQiVXalpHDx+vWsrVuX1A8+ANUTX5fmhx+gQe0UVs/dzXT/JdTk7/TD9p7ZGHPGsB9IeaVECT9t28bjcmX8z4fLpbRtG0+JEv7cvvWGDRtCj3kcVqZMmRSA6Oho/6FDh476c9+6dasn/eNu3brF//LLL6v37Nmz6KGHHtp23333VV6yZElYbsdpjDHGFATH1NKL4Uj3B6oAu1X1r+B5vwAVRKRRRtMAHiAy+LgIsCn4fWMgNd1KwJHA1SJSKJOQfgWqpNXhw0lKjU43PgcoE9xODE4C6jn+S0TFARWA3zOZP1eo6mFV/UH1yFvxOTjNQ9LG56nq2lO8TUdgoaquDD4ejlMDMTNfAVeJSNrvRXdy9Gs3HWgebFoCTsLuRf5L7DUBdqnqulOM2xhzDFU2paTQdN8+Rtx1F9qgAakjRzor7DKSmAiffQZtLkvlyivhwq1fsyC1PvVYmv60PTg/e4wx5oxgSby8NHToJiIiAscl8lwuJSIiwNChmzK58pTMnDkz5vPPP49JTU1l/Pjx0VOmTCnSvXv3XQBNmzZNTExMdL3//vuxfr+fCRMmRE2cOPFIb/XFixeHjR07NiYhISHE4/EQGxvrd0J2ZXgvv99PYmKiHD582CkUlJQkiYmJkpqamhdPzRhjjDkricgYEdkIDMLZPgtO99liItIieM41QBTpElVpVHUx8DqwTkQ2AX2AB4LDFYB/0527H2fbbpksQvoEuF1EiuAklianuz4ZpxFGq2CyqrKq/gCUCyYGWwG/n6huXx54EGc13smIFJE/RORPEXlGRNJ+sTnqtQPWA3HBFXMZSQR+Aq4TkZqAkG4lnqpuBLYCzUSkAk4CYArQInjK6VrBaEyBpMo+VXoDTZYtY1yvXqTExkLVisl63TUBunaFztcrdaonER0VoFvXAJG/TuYn2vK5dqE024+abyX8j2BXcmOMORNYEi8v1amTxOzZK2jTJuHI1tqQEGjTJoHZs1dQp06eFEi98cYbd48ePbp4TExMwz59+lR45ZVX/u3QocMBgFq1aiUPHjx4w9NPP10+Jiam4ciRI4vfdNNNR7bQJCUlhQwZMiSuXLly9QoXLtzw8ccfLz9s2LB1tWvXzjDWH3/8MSoyMrJRgwYN6gBccMEFtSMjIxsNHz68WEbnG2OMMQWRqt6mquWB/jhdZVHVBOAG4EURWQC0A5bj1Mc7iohUBq4HqqpqOZyE3thTCOkj4HagKzAOCBwznrYttBkwL3hsDk5tqJacbIfbkyQiTwJVgSdO4vKtQFlVbQK0xenS2+8UwhmN0zSkO/BBBuNpr11LYKaqHgJ2BP8MW3KaXztjCiJVFvj9dA0EKA1cf8WGdzcU+n4cBz77jpCvx3P16tf4NHALG7Uc3wWuoi3Tjr4e9r8EG8+HW0Xk/Px5FsYYczzRnBQLKGAWLFhwntvt/rl69er7wsPDk09psp07XWzZ4qZMmdS82EJrsu/QoUOhq1atik5NTW3duHHjU92GY4wxxuSIiBwCyqnq7mOOhwHbgCaq+s8xYw8D1VX1nuDjSOAAEAbUBz5W1ZrBsSicGncxx66WE5FngSKq+pCI/IizFbcFTuJwkaoWCZ7XAme13kfAdlV9V0TuBsrjbDe9Q1V/y6WXJC2224C+wYdvquoH6Z77zUDbY7Ymp103A3hDVb/J5n1uAbyqerWI3Ah0V9UOwbFawJRgovTY6z7EeY3eEJFlOFuja+G8hm8EaxUiIl6gB84Kv7GqOinYgXgDTk3E6qq6OTuxGmNyifPz670szggAdwARwG7gRwEXMAk4D2itqsvzOkxjjDmRzLYKmNxWooTfknfGGGNMwRLcrhqhqluCj6/DeYO4J/g4TlW3Bk9/Gvj52ARe0FrgThEpHOw4exWwSlWTg6v4PCLSKlgX717g+2xsd30aaKSq/6Tvnhr0B05Xxq7ANcFjM4EJQBz/rc7LNao6BhiT/piI9MVJGmaYwMsOESkJ7FXVlGCi9HpgYXB4EvCOiNQM1sXrBXyejWkfBIqr6n4ROXZsOk4Djkr8t+V5Jk4jks2WwDMmX3wM3I1TPiAjb6D6cfoDypEO4j8C00WkdVoNU2OMyS+WxDPGGGOMyTsxwBciEo6z0mMncFW6Zg3PicglOL+T/Y6zRRMAEXkO2KKq7wJf47z5nC8iScBBwAugqgER6QaMDNas28J/dfcyparzgfmZjKWIyK9A/bSmD6q6KrjK71dVTcnpC5FTwcYaQ3ESmNODybIkVW0WHO8P9ARKAHVEZBjQUFV3HvPaXYzzOvtxXuefgReCz2m/iPQAvgnWwVuGs804S6o6LYuxrSKyAYgPJlzBqTFYGacTrjHmdFM9jEgbnEYztwLRAAdgR2F4AdW3Mr5M92WQyFt22uI2xphj2HbaLOTqdlpzxrDttMYYY4wxxhRQIhFAtUYwbhF8H1B9+MSXSBQwETgfZ2vt0hNcYowxecIaWxhjjDHGGGOMKRhUE1FdvBB+UWiavUt0P3AFTvOh6SJSP09jNMaYTFgSzxhjjDHGGGNMQTMXaBzcSn9Cwe3xVwBLgWki0iAPYzPGmAxZEs8YY4wxxhhjTEEzF6cbbe3sXqCqB4ErgcU4ibyGeRSbMcZkyJJ4xhhjjDHGGGMKmuVAItAsJxepaiJwNU6X62ki0igPYjPGmAxZEs8YY4wxxhhjTIGiqqk4HbqzVRfvmGvTEnnzcRJ5Fxx3kk+i8EmhU43TGGPSsySeMcYYY4wxxpiCaB45XImXRlUPAdcG55gqIk2ODPokDnFtJcQzG5+4ciVSY4zBkninzU52uhazOGwnO/P0h3jTpk1r9O7du0xe3sMYY4wxxhhjzgFzgdoiEnUyF6dL5P2Ok8hzEoLieoPQYmFooAFwby7FaowxlsTLa8tYFtaOdlVKU7pBAxrUKU3pBu1pX2UZy8LyO7bc8Oyzz5aqXbv2+VFRUQ2KFi1av1WrVlXnz59vy8aNMcYYY4wxZ7p5gACNT3YCVT0MdAJ+A6aMuU96o/6baDbKTc2+griH4JPSuRSvMaaAsyReHlrGsrAWtDj/Z36OCRAAIECAaUyLaUGL88+FRN7hw4dl6NChG7du3bp4w4YNS6pVq3a4Y8eO1Q8cOCD5HZsxxhhjjDHGZGEjsI2T3FKbJpjIu1kE//CpvHnBwBg+++UA1HmGl38Mjzj/EZaKyK8iUi9XojbGFFiWxMtD/ehXLpHEED/+oxJafvySSGJIP/qVy4v7xsfHu9u1a1clMjKyYYUKFeoMGzasWNrYW2+9VaxUqVJH/ePRt2/fMo0bN66R9njw4MElypcvXycyMrJhsWLF6nfu3LlSZvd66aWXtnXo0OFA4cKFtXDhwjp48OCtu3bt8ixevNhW4xljjDHGGGPOWKqqOFtqc9zcIgP7d49kxG/PhTFt+q88+uijrFq3hQl/lw/5awjF37mDUcA7uXAfY0wB5s7vAM42gpz0Uuv0/PhlClOKZGc+RRfkZO5x48YVHz169JqJEyeu+eqrr2K6detWpXr16ofbtWt38ETXLl26NGzQoEHlZs2ataJJkyaHExISQmbPnh2R3Xt/88030eHh4YG6desm5SRmY4wxxhhjjMkH84BepzqJfko1CHmUBs9zQGOpV68e06dP5+ob7iCk3Ex/r/ZTnvm/D1MOi0iYqtp7JWPMSbGVeOegyy67LMHr9SZ4PB66dOmS0K5du/hRo0YVz861Ho9HVVUWLVoUvmfPnpCYmJhAx44dD2Tn2rlz54b369ev4vPPP78xOjo6cGrPwhhjjDHGGGPy3FygrIiUPekZfCKI+914V1W99N5vqVevHp06dWL37t3ExsZCk3dcEFKhYgkigaK5FrkxpsCxJF4OKbogO1872LEo5AQvbwgh7GDHohPNldMYK1asmHTs482bN4dm59qaNWsmjxo1au2YMWOKV6xYsV6dOnXOHzly5An/oZk+fXpEhw4dqj/22GOb+/btuyunMRtjjDHGGGNMPpgPKKe2pfZmNLVVkdajPbNm/cLKlSsZNGgQkZGR7N27FyIrQr2BrohQyi8bQmwuxW2MKYAsiZdHSlDC35a28S5cmtG4C5e2pW18CUr4c/veGzZsCD3mcViZMmVSAKKjo/2HDh066s9969atnvSPu3XrFv/LL7+s3rNnz6KHHnpo23333Vd5yZIlmTbh+Pbbb6Ouueaa6gMHDtz05JNP7szN52KMMcYYY4wxeUVVE4CVQDMZKDlvzucTN+J5KzmkGLr2I5h3L5ErHidME+hQZjYTP38dnXsPq/+aR2wkUru8Z3CuPwljTIFhSbw8NJShmyKICBybyHPh0ggiAkMZuikv7jtz5syYzz//PCY1NZXx48dHT5kypUj37t13ATRt2jQxMTHR9f7778f6/X4mTJgQNXHixCOfBi1evDhs7NixMQkJCSEej4fY2Fg/gMvlyvBeY8aMKdK1a9eqb7311r+9e/fenRfPxxhjjDHGGGPyjDCXS+kUIiF/yUBpmaNrvZqKyJgFq+PnN775/YQLbn4/4cJuo/f1uXz/ihr+r2c2K7t9bYOb3t934yNf7XvpFtcCRL7Ok+dgjCkQxGnIYzKyYMGC89xu98/Vq1ffFx4ennwycyxjWVg/+pWbytQiAQKEEEJb2sYPZeimOtTJ9YKmTZs2rVGzZs1D27Zt8/z222/RRYsWTXn44Ye3Pvjgg0cSbC+//HKJ1157Le7AgQOuVq1axZcqVSpl4cKFkQsWLPh73rx54T179qy4evXqQqoqcXFxyX369Nnaq1evPRndr2zZsnW3bdsWGhYWdlQNvKFDh/573333ZXhNfjt06FDoqlWrolNTU1s3btx4bX7HY4wxxhhjjMkfMlDKu/e5p/qj/dUbxTUKLNi6IAR4E3hCB+ih/I7PGGPSsyReFnIjiZdmJztdW9jiLkOZ1LzYQmuyz5J4xhhjjDHGFGzBrbO3ucT1TsWYimG+zj5307JNGbN4DPf/cL8/2Z+8PiWQ0lUH6Nxcva/IFKA0EAD2A71VdeGJxjKYpy7wNlAqeOgpVf1KRJoDI4LHPMCvwXmOW0AiIjOAFkA5Vd0RPHYe8A/wnapeJyLTgf+p6ifB8f5Af6CIqh4OHlsJ3K+q007+lTHGZIc7vwMoKEpQwm/JO2OMMcYYY4zJXzJQSjGC5eyj6AXXX8DPH/xMhCcCVWXOyDnUWlzLtXrv6vPiW8f/LgNlMPCcDtBTWtSRzk2qGg8gIp2AD4H62Rj7L36RCOBb4DZV/VVEXPzX9XYx0ERVU0QkBPgS6AW8nkk8S4BbgaHBx3cB6ZsrTgdaAp8EH7cCFgEXAjNEJA6oBPx24qdujDlVVhPPGGOMMcYYY0yBIAOltjvEvaLU3aWiHh34KB2qdiDCEwHAd999R3JyMvNmz2Pe9/Ok6pyqEuYKe8Id4l4gAyX0BFNnS1qSLigGpzPuCceO4QXmqOqvwev8qroz+H2iqqYEzwsFwrOYB+Aj4HaAYNKvC+BLN56WxENEQoHKwPtpx4L/nZO2Ks8Yk7csiWeMMcYYY4wxpqDYGtBA9IvXv+g5v8T5Rw38/fffNGnSBIBqVauxf/N+rq9+vYRISGoursRDRMaIyEZgEM4quGyNpVMLSBKRCSKyKHhNiXRzVBKRxcAuIAEYnkU4G4FtItIMaAfMB/amG58LlBGR8jir7+YBM3BW5BH878/ZeNrGmFxgSTxjjDHGGGOMMQWCDtA9gkz+fNnnx5U6ql+/PpMnTyYQCDBv3jx27NjBNwu/CST7kz/O1RhUb1PV8ji15YZkdywdN9AWuBdoCGzmvzp4qOp6Va2PU18vDLj+BCGNBroHv0YfE08yzlbZlsGvGaq6BignIoWCx6afYH5jTC6xJF7WAoCqquR3ICb3pPvztK4uxhhjjDHGFDB+9X86dd3UkP1J+4863r59exo1akSrVq343//+R/mq5TkUeigEGJsXcajqR0ArESmWkzFgAzBdVTer06nyE5xVcsfOcQD4HOh6glC+Adrj1N/LqDnFdJwVd61wVuEBzAFuBMrirNYzxpwGlsTL2jZVTTl48GBEfgdick9ycnKoqqYCe/I7FmOMMcYYY8xp950gyfO3zD9u4Omnn2bmzJnce++9SJyox+35XQfo5ty4qYgUEZEy6R5fB+wG9mQ1lsFU44AmIhIdfHwFTkMLRKSqiHiC34cCnXCaV2QqWM+uD04X20AGp0zHWflXUVVXBo/NBJ4Gfguu1jPG/H979xIiV5UGcPz/daJGkpiERk2CRkXUnYpFEHUEewRR0fhAwoCPiI/oSmQGF4KZtnVwcDPM0ogLFd0YMaAozBhtg43tqIUrH6gI8dWGGNH2bcf7zeKeIpXurkoQ7b7B/29TnPOde+/hLgrqq/OdMwc8nbaPVqv1Y7vdfnBiYuJ2YMXixYu/jwhXbx3Eqqoa2Llz5xFVVT0FTM73fCRJkiTNrRzOb+Ok+HzLd1uOW7loJWNjY2zbto3JyUnWrVvHwMAAg0cOMnHORDVVTf2WpbTLgC0RcTh11dcu4JLMzIjoGQOIiIeApzPz6cz8KCLuA16JiIq6nHZjecafgdsi4hfq3/svUO+v1/+dZD7VJ/w6sAJ4tqtvO7CZaeW3kn5fUb4T1EO73Q7gbwsWLNhY/tGwtPbgllVVTVRVdUWr1do535ORJEmSNPdiJC4PYuuT659kyaFLZsTHPx5nZPtIleTROZxfzMMUJWkGk3gHqN1uL6LeGNQS5IPbHuDTVqs1YyNbSZIkSX8MMRKLBmJgV5XVzAxesXBg4fNTm6YumMt5SVI/JvEkSZIkSX84MRJLgQV9hvyUw/nDXM1HkvbHJJ4kSZIkSV0i4r/UlVgV8A31oQ9vltiFwD+AQ4HvgVsys3OwxFrg38ASIIG/ZuaLPZ5xJvAgcDjwCXBtZn2IRr/YtHvcDQwDV2bm1tIXwIfAisxcHhHDwLGZeVOJ/wl4GRjKzJdK3wPArszc9CtfmaQ5YGmoJEmSJEn7Wp+Zp2bm6cC/gIcBImIF8DiwITNPBe4o7U7ybCswnJmnAeuBh8thFfuIiIFy3e2ZeTLwHHXyr2+shzZwQ1f7fKB7H79R4Lyu9hDwv1n6Zk02SmoOk3iSJEmSJHXJzK+6msuoV9UBnAjszsy3yriXgTURcQYwCByZmdtK7D3gK+CiWR7RAvZk5mhpbwYujYhF+4nNZgw4MSJWlvYN7Htq7KvA6og4prTPA+4pn0TEKmANMN7j/pIawiSeJEmSJEnTRMSjEfExcC9wbel+HxiMiLPLmHXAUuD4zPwCmIiI9SW2FjgFOH6W268BdnQamfkNMAms3k+sl8eADRGxHFgL/Kfr+p+BV4ChiDgMOCEznwOOKYnBIWA8M388gNciaR4tnO8JSJIkSZLUNJl5HUBEbADuBy7OzK8j4irgnxGxhHr12tvAnnLZZcD9EXEn8Bb1Krk9M27+23sEeB74FniCei+/bp2S2h3Aa6XvVeCs0j+KpMYziSdJkiRJUg+Z+UhEPBARg5m5u5S5jgKUlW2fUyfyKAdcXNi5NiLeoU7mTfcRcFzXuKXUZbufUZfl9or1muOnEbGD+pCLs2cZMgrcWJ77UunbTr0Kbwi4vucLkNQYltNKkiRJklRExPKIWN3VvhzYDXxZ2qu6hm8CXszMD6bHIuJm4DtmPzCiDRwSEUOlfQvwTClp7RfrZxNwV2cu07wOHAVczb5JvL8Aq9i7Ok9Sg7kST5IkSZKkvZYBW8qpshWwC7gkMzuHW9wTEedS/54ep17h1rExIq4GAngHuKJzXUTcCqzOzL9nZhUR1wCby750n1H23esX6ycz3wDe6BGbiogx4LTMfLf0vVdW+Y1l5tSBvx5J8yX2fg9JkiRJkiRJaiLLaSVJkiRJkqSGM4knSZIkSZIkNZxJPEmSJEmSJKnhTOJJkiRJkiRJDWcST5IkSZIkSWo4k3iSJEmSJElSw5nEkyRJkiRJkhrOJJ4kSZIkSZLUcCbxJEmSJEmSpIYziSdJkiRJkiQ13P8BJ6vTH5Sof3UAAAAASUVORK5CYII=", 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\n", 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", 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" ] @@ -2166,7 +2167,7 @@ "timeout": 300 }, "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "grid2bench", "language": "python", "name": "python3" }, @@ -2180,7 +2181,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.10" + "version": "3.10.0" } }, "nbformat": 4,