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

\n", "Graph project: Epidemic spreading
\n", "ENSEEIHT SN
\n", "

\n", "\n", "

\n", "FAINSIN Laurent
\n", "GUILLOTIN Damien\n", "

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", " \n", "## Introduction\n", " \n", "As you know, a new epidemic has overwhelmed the world, COVID-19 jeopardizes people and changes our habits. It is easy to realise that knowing how illnesses spread is vital to our own protection. How can we predict whether a disease will cause an epidemic, how many people it will infect, which people it will infect, and whether or not it is dangerous to society as a whole ? Also, how can we determine which techniques to use in fighting an epidemic once it begins ? One way to answer all of these questions is through **mathematical modeling**.\n", "\n", "In this work you will have to review different epidemic modelings relying all on the representation by graphs of a human network called a **contact network**. A vertex in a contact network represents an individual and an edge between two vertices represents a contact between two individuals. The disease only spread from individual to individual if they are in contact, so through the edges. This representation is actually really common in research, and a lot of state-of-the-art modeling are built over it. From these different models you will be asked to draw conclusions from experiments on varying contact networks.\n", "\n", "For readability and ease of use, this project will be carried on a Jupyter Notebook, hence code and question answering have to be written in this unique file. This is a **DUO** project, no group of one person will be accepted, the duo has to be composed of same TD group students, if the number of students in the TD group is odd we will accept one group composed of three students. It will be coded in Julia using the LightGraphs package. **BEWARE:** \n", " \n", "- If the code does not provide good results, its readability as well as its comments are essential for the corrector to potentially find some notation points.\n", "- The specifications of the functions have to be strictly respected.\n", "- Do not neglect written questions they stand for an important part of the notation, you are not only evaluated on the coding. Also, even so a written question may not ask you directly to code or provide results from code, support your arguments when possible with a runable example is very welcome and sometimes even expected.\n", "- Any initiatives and additional efforts bringing contents and thoughts out of the question scope may result in bonus points if pertinent.\n", "\n", "Deliverable: You will deliver your work on moodle before **23.01.2022** in a **.tar** containing the notebook with your codes and your written answers, and the different graph figures in .png you will generate. The corrector will use the student N7 computers for running your code, so take care of verifying that your work is running as expected on these computers !\n", "\n", "LightGraphs documentation: " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "## Environment and packages installation\n", "\n", "**mathematical modeling**: For evaluation, coding questions have to run with no additional packages ! Only the ones present here ! However if you want to use another package to go further in your answer and add bonus contents, take care of separating the cells and precising which packages you are using." ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [], "source": [ "# Import originaux, qui ne fonctionnent pas avec toutes les version de Julia\n", "# De plus Lightgraph est déprécié, depuis genre 2 ans\n", "\n", "# using Pkg\n", "# Pkg.activate(\".\") # Path to Manifest.toml and Project.toml\n", "# using LightGraphs\n", "# using GraphPlot\n", "# using Colors\n", "# using CairoMakie\n", "# using StatsBase\n", "# using Plots\n", "# using JLD2\n", "# using Compose" ] }, { "cell_type": "code", "execution_count": 44, "metadata": { "scrolled": true }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "\u001b[32m\u001b[1m Activating\u001b[22m\u001b[39m project at `~/Documents/Cours/ENSEEIHT/S7 - Graphes/projet`\n", "\u001b[32m\u001b[1m No Changes\u001b[22m\u001b[39m to `~/Documents/Cours/ENSEEIHT/S7 - Graphes/projet/Project.toml`\n", "\u001b[32m\u001b[1m No Changes\u001b[22m\u001b[39m to `~/Documents/Cours/ENSEEIHT/S7 - Graphes/projet/Manifest.toml`\n" ] } ], "source": [ "# Import packages\n", "# Marche en Julia 1.8.0 et sur les machines de l'enseeiht\n", "using Pkg\n", "Pkg.activate(\".\") # Path to Manifest.toml and Project.toml\n", "Pkg.resolve()\n", "\n", "# Remplace LighGraph\n", "using Graphs\n", "using Graphs: smallgraph\n", "using Graphs: stochastic_block_model\n", "using Graphs: barabasi_albert\n", "using Graphs: random_regular_graph\n", "using GraphPlot\n", "\n", "using Colors\n", "using CairoMakie\n", "using StatsBase\n", "using Plots\n", "using JLD2\n", "using Compose\n", "using Random" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "## Part 1 - SIS model\n", "\n", "SIS is a compartmental model, ie a model where the population is divided into subgroups that represent the disease status of its members. SIS stands for Susceptible $\\rightarrow$ Infected $\\rightarrow$ Susceptible where the susceptible group contains those who remain susceptible to the infection, and the infected group consists of those who not only have the disease but are also in the contagious period of the disease.\n", "\n", "\n", "Combine with a contact network approach, this model can capture contact patterns (family, company, friends). Each vertex represents an individual in the host population, and contacts between two individuals are represented by an edge that connects the two. The probability of transmitting the disease from an infected to a susceptible individual along one of these edges or contacts is $\\beta$ (=**mathematical modeling**).\n", "\n", "In order for a disease to begin spreading through a network, the disease must be introduced into the population, either through infecting a proportion of the population or through infecting one individual. As time moves forward, the disease will spread away from those initially infected, and two things may occur simultaneously at each time step $t$. First, each infected individual will spread disease to each of its contacts with a probability $\\beta$. Secondly, each infectious individual will recover at a rate, $\\alpha$, at which point the individual will then no longer infect any of its contacts. After the disease has run its course, we can determine how the disease affected the network by calculating various quantities that help us better understand the outbreak.\n", "\n", "###### P. Van Mieghem, J. Omic, R. E. Kooij, _“Virus Spread in Networks”_, IEEE/ACM Transaction on Networking (2009)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "### 1.1 Contact networks sample" ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [ { "data": { "image/svg+xml": "\n\n\n\n\n\n\n", "text/plain": [ "4-element Array{RGB{N0f8},1} with eltype RGB{FixedPointNumbers.N0f8}:\n", " RGB{N0f8}(0.125,0.698,0.667)\n", " RGB{N0f8}(1.0,0.647,0.0)\n", " RGB{N0f8}(0.502,0.0,0.502)\n", " RGB{N0f8}(1.0,0.0,0.0)" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Susceptible, Infected, Recovered, Alerted\n", "node_colors = [colorant\"lightseagreen\", colorant\"orange\", colorant\"purple\", colorant\"red\"]" ] }, { "cell_type": "code", "execution_count": 46, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, UnitBox{Float64, Float64, Float64, Float64}(-1.2, -1.2, 2.4, 2.4, 0.0mm, 0.0mm, 0.0mm, 0.0mm), nothing, nothing, nothing, List([Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.LinePrimitive}(Compose.LinePrimitive[Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.12583303750016558cx, 0.3580258842525527cy), (0.021899199464105602cx, 0.2740920532533238cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.12769999092219897cx, 0.35586540417953816cy), (-0.21235596416665825cx, 0.04163312036157251cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.1682048175927045cx, 0.34304715417953713cy), (0.20856872597271042cx, 0.15538910203281098cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.19803194146815856cx, 0.40311418179143305cy), (0.5149228961102381cx, 0.5511950943505264cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.19218570268260393cx, 0.41233926518752273cy), (0.6188549871796101cx, 0.7663305783687692cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.19855193350108918cx, 0.40195707617435317cy), (0.6764638188734587cx, 0.6082831660463497cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.1565066352263477cx, 0.3421724863215767cy), (0.13989039052136806cx, 0.07709916237520087cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.1365560806441658cx, 0.3485490407953779cy), (-0.1706955586261475cx, -0.14578836920484112cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.18521108030704628cx, 0.41903785448370917cy), (0.4426091941601287cx, 0.7560886277586278cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.16312601915844852cx, 0.42765664434588946cy), (0.21196830652767978cx, 0.9573064984404626cy)]) … Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.7223545580758526cx, -0.0803055665537108cy), (-0.552249255254974cx, -0.35250006199129447cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.5035046959844273cx, -0.08430287288167601cy), (-0.5171935453212759cx, 0.04087144553140662cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.5038320819268516cx, -0.16950689527264245cy), (-0.5245390034444243cx, -0.34627519200387163cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.7490212782207186cx, -0.6388065167303175cy), (-0.5795073441248182cx, -0.5135441342853683cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.7544384123537679cx, -0.6327672223607856cy), (-0.5585919010114494cx, -0.42037825038478377cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.262297477346664cx, -0.3594763388362902cy), (-0.5059978543575302cx, -0.47031364116056007cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.26564547759851065cx, -0.3482476942228887cy), (-0.48715154512536396cx, -0.3823371075038452cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.5235911881833664cx, 0.04065253792387728cy), (-0.5432888761981063cx, -0.4452243867806102cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.522550817734623cx, 0.040623003849064344cy), (-0.5288309376665301cx, -0.34598967443568096cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.5384077966955939cx, -0.44570301423566916cy), (-0.5361451117514514cx, -0.43121949454730846cy)])], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.5144957554275265mm)]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.5144957554275265mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}}(Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}[Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.15918898744617827cx, 0.384963142786352cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.011456750481907085cx, 0.2471547947195245cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.24384496069063755cx, 0.012535381754758657cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.21758455611923666cx, 0.11347311342599609cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.5537658501322185cx, 0.5693461333556074cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.6518517024160357cx, 0.7937067007699399cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.7158267649283696cx, 0.6252770994343508cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.1372080383015375cx, 0.03430850591042556cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.19332846542815996cx, -0.18220247119581523cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.62884790291561cx, 0.08401744456884397cy), 0.017149858514250882w) … Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.9167597692280051cx, 0.2958772563911021cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-1.0cx, 0.08003206674026875cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.7204707805703194cx, -1.0cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.7450765135974637cx, -0.043946963288574614cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.498843785637913cx, -0.12692342202008344cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.7835030136318544cx, -0.6642868074891388cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.22326972299051173cx, -0.34172613647030325cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.5218544556677902cx, 0.08349199466981405cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.5450256087136824cx, -0.48806384352654697cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.5295272997333629cx, -0.38885866525643065cy), 0.017149858514250882w)], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))]), List([]), List([]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# karat7: A graph representing the karate club of N7 and the connections between the persons in this club. There are 34 people in this network. It is actually inspired by one of the most famous problem in graph theory: the Zachary's karate club.\n", "\n", "karat7 = smallgraph(:karate)\n", "nodecolor = [node_colors[1]]\n", "plot = gplot(karat7, nodefillc = nodecolor)\n", "draw(PNG(\"img/q0_1.png\", 100cm, 100cm), plot)\n", "display(plot)" ] }, { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, UnitBox{Float64, Float64, Float64, Float64}(-1.2, -1.2, 2.4, 2.4, 0.0mm, 0.0mm, 0.0mm, 0.0mm), nothing, nothing, nothing, List([Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.LinePrimitive}(Compose.LinePrimitive[Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.5901176182352643cx, -0.6187530067440564cy), (-0.7207124894204604cx, -0.4753481175553953cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.5622295300608879cx, -0.6279684957738494cy), (-0.3184715456875478cx, -0.5801232369819764cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.595564031166585cx, -0.6297951490243647cy), (-0.8122686751279858cx, -0.611476570148624cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.56942476644852cx, -0.6452426180230619cy), (-0.5303723156400406cx, -0.7038692979194896cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.5760554296690522cx, -0.6145797425026702cy), (-0.5382968663613151cx, -0.38310092117497013cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.5724057214678654cx, -0.6468225842027483cy), (-0.470451596299239cx, -0.8968959076725039cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.5897965279693429cx, -0.643961765568744cy), (-0.8072883277751475cx, -0.8953623161300807cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.5904078808041532cx, -0.6434060997209021cy), (-0.6554933916312716cx, -0.7115799479537771cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.5892776600098831cx, -0.6443928008392324cy), (-0.7400337874953992cx, -0.8334406831512978cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.5629823881934346cx, -0.6253093008395499cy), (-0.2970512735854201cx, -0.5258272969591119cy)]) … Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.7543977555658888cx, 0.5893092491982589cy), (-0.7519836231610295cx, 0.7045818769678499cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.9658265977817305cx, 0.726240525706417cy), (-0.9099640514271531cx, 0.6818756740758715cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.6565599066133487cx, 0.7517082757305301cy), (-0.5175214413252835cx, 0.6217384100321218cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.4623267426983173cx, 0.5623244114763104cy), (-0.6467581093637826cx, 0.57603523837697cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.8852506193753742cx, 0.6590845264394651cy), (-0.8038143659436281cx, 0.5720303300017318cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.7217874340710351cx, 0.44410961153906503cy), (-0.5185823729285014cx, 0.5999704220572579cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.672353822215406cx, 0.5916680557410062cy), (-0.742843610103801cx, 0.7070499315324309cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.6802670091007229cx, 0.5750063568018402cy), (-0.7755995848672085cx, 0.5619999510167087cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.755741593279437cx, 0.7050871836799456cy), (-0.7881889875800653cx, 0.5760674937337645cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.7841796981139996cx, 0.5744915259687392cy), (-0.7053110155928998cx, 0.7179481431306091cy)])], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.20225995873897262mm)]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.20225995873897262mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}}(Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}[Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.5787689344730826cx, -0.6312148800364994cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.5226443482862944cx, -0.6013120521455503cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.5839756807939516cx, -0.9197866177553213cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.7544526164382712cx, -0.7159952527512459cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.7320611731826421cx, -0.46288624426295233cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.6595605234385127cx, -0.8895123544041739cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.8093450178098597cx, -0.47168314658342103cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.5191590616447435cx, -0.7593725247505851cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.9143977766246534cx, -0.7118333398131182cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.5048526844212577cx, -0.8936018329933192cy), 0.006741998624632421w) … Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.6688729742580594cx, 0.7632182398602609cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.44551812934828194cx, 0.5610748410141424cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.8967651140648889cx, 0.6713933574617859cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.7351614333189636cx, 0.43385158769393195cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.9342369855959436cx, 0.6885620843567772cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.5052083736805729cx, 0.610228445902391cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.663566722713818cx, 0.577284808839138cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.7516307096053889cx, 0.7214331784342991cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.7922998712541134cx, 0.559721498979411cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.697190842452786cx, 0.7327181701199372cy), 0.006741998624632421w)], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))]), List([]), List([]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# n7_2A: A graph representing the second year students at N7. Each department (SN, MF2E, 3EA) form a community where connections are denser, connections between department are rarer.\n", "\n", "n = [100, 70, 50]\n", "c = [[10, 0, 0] [0.1, 10, 0] [0.1, 0.1, 10]]\n", "n7_2A = stochastic_block_model(c, n)\n", "nodecolor = [node_colors[1]]\n", "plot = gplot(n7_2A, nodefillc = nodecolor)\n", "draw(PNG(\"img/q0_2.png\", 100cm, 100cm), plot)\n", "display(plot)" ] }, { "cell_type": "code", "execution_count": 48, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, UnitBox{Float64, Float64, Float64, Float64}(-1.2, -1.2, 2.4, 2.4, 0.0mm, 0.0mm, 0.0mm, 0.0mm), nothing, nothing, nothing, List([Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.LinePrimitive}(Compose.LinePrimitive[Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.26695655078632474cx, 0.3540081137278014cy), (0.3481342954987847cx, -0.03619891784244389cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.2575886071220669cx, 0.3602257526797971cy), (-0.2969263933802695cx, 0.2514106501981204cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.2693878091029044cx, 0.36854268829708087cy), (0.31492774097951803cx, 0.44510541048721025cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.27249972434488606cx, 0.3651139713694274cy), (0.3305960344414092cx, 0.392450039073497cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.26979217591583093cx, 0.3682852594979389cy), (0.3736142029487034cx, 0.5209456054756398cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.26849772004230643cx, 0.3689985268555951cy), (0.3309589574451304cx, 0.5127044208330396cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.27153033542888905cx, 0.36667335724728406cy), (0.47833218686427215cx, 0.5313816097914621cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.2726844384049403cx, 0.3588065978478401cy), (0.4346839037696173cx, 0.29386872851534696cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.2659214420592054cx, 0.3696328389289978cy), (0.27298747159682313cx, 0.466510076906403cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.26984325278101134cx, 0.3552459508837099cy), (0.4220427186816353cx, 0.13517872755900806cy)]) … Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.18396031627979342cx, 0.40834750942769865cy), (0.24397502466333626cx, 0.3653385090133468cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.290196582334983cx, 0.20601209544740343cy), (0.3595797664843965cx, 0.21420617250022797cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.527075234695863cx, 0.3196084935572387cy), (0.5460586792261369cx, 0.3167961663380399cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.15201039910950287cx, -0.6823339305854854cy), (-0.1835966191857321cx, -0.5949659639750805cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.47550891159363845cx, 0.027442161967692603cy), (-0.4277818928176213cx, -0.042794320253668514cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.8375124114191104cx, -0.25795297326168193cy), (0.9063941772925694cx, -0.24465883231749114cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.3702599157514067cx, -0.2648588161138815cy), (-0.42010053504056916cx, -0.21149551851029114cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.7967872405320703cx, -0.3419497149725139cy), (-0.8646933134181274cx, -0.3503923922626706cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.5154490421320969cx, 0.34184883311651704cy), (-0.5767907618846501cx, 0.3149126906252826cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.04521376564667707cx, 0.1069983862829159cy), (0.10748059034891405cx, 0.10808946969552403cy)])], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.09486832980505139mm)]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.09486832980505139mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}}(Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}[Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.2653463444544424cx, 0.3617480901856962cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.3497445018306671cx, -0.043938894300338704cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.304684130712645cx, 0.24988831269222134cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.41081843117268124cx, -0.4181478641856896cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.4564766666163371cx, -0.4820966038586577cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.15216868743145473cx, -0.1246032841863961cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.17797603647930493cx, 0.479669733109779cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.19693544276930952cx, 0.631842817091314cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.39514663897233926cx, -0.6079397678173866cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.226555460583437cx, 0.5584540419705837cy), 0.0031622776601683794w) … Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.18733075994715964cx, -0.3679577002410155cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.22994875232484213cx, 0.20163357900002743cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.42549675210167703cx, -0.20571790296151948cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.5538790213382485cx, 0.3156376115272803cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((1.0cx, -0.4978227484277884cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.4151623846350243cx, -0.017361008706482495cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.35396118367279916cx, -0.3163323515047558cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.5339787354163752cx, -0.6746393504272898cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.48433238832492553cx, -0.8761601732254802cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.29337084067077923cx, -0.7402393830909461cy), 0.0031622776601683794w)], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))]), List([]), List([]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# toulouse_neigh: A graph representing a neighborhood composed of 1000 people in Toulouse.\n", "\n", "toulouse_neigh = barabasi_albert(1000, 1)\n", "nodecolor = [node_colors[1]]\n", "plot = gplot(toulouse_neigh, nodefillc = nodecolor)\n", "draw(PNG(\"img/q0_3.png\", 100cm, 100cm), plot)\n", "display(plot)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", " \n", "### 1.2 Introduce the infection\n", " \n", "We denote by `state` a vector containing the disease status of each vertex where Susceptible=0 and Infected=1. Then `state` is an `Array{Int32,1}` of length the number of vertices. This array in addition of a graph (represented internally by an adjacency matrix or an adjacency list) will be the data structure of our model.\n", " \n", "In `Array{Int32,1}`, `Int32` refers to the kind of data in the array, here 32 bits integers, `1` refers to the dimension of the array, here we have a 1-dimensional structure so a vector" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "Question 1 (code): For each graph in the graph sample (`state`, `n7_2A`, `toulouse_neigh`) initialize the state array by assigning each vertex to susceptible and add randomly one or numerous infected people. Save the graph as a .png image using `state` and `Int32`, infected should appear in a different color (`colorant\"orange\"`).\n", " \n", "Due to a bug on certain version of Jupyter Notebook, the graph figures should be saved in a file and not plot inside the notebook !!!\n", " \n", "Gplot GitHub: \n", " \n", "Gplot examples: " ] }, { "cell_type": "code", "execution_count": 49, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "new_state (generic function with 1 method)" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "function new_state(net, ni)\n", " return shuffle(vcat(\n", " ones(Int, ni),\n", " zeros(Int, nv(net) - ni)\n", " ))\n", "end" ] }, { "cell_type": "code", "execution_count": 50, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, UnitBox{Float64, Float64, Float64, Float64}(-1.2, -1.2, 2.4, 2.4, 0.0mm, 0.0mm, 0.0mm, 0.0mm), nothing, nothing, nothing, List([Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.LinePrimitive}(Compose.LinePrimitive[Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.285079974545367cx, 0.20102893007475847cy), (-0.5978197411338086cx, 0.018132487909125396cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.2410513879892527cx, 0.18037694474870106cy), (-0.18555623536623878cx, -0.15406685354138341cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.28064873017904746cx, 0.19480133874318162cy), (-0.34095194952755387cx, 0.14321085339405382cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.21138184941383154cx, 0.24485962484152865cy), (0.21151569839523787cx, 0.500599667945713cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.2383397294831243cx, 0.26442924551044156cy), (-0.14282926866686724cx, 0.6743094081397936cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.22154929062160586cx, 0.25636156069546934cy), (0.09248666713102124cx, 0.6552742113119722cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.2886871107109498cx, 0.20894505638572017cy), (-0.556434858669121cx, 0.11844943358950108cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.25555952759109823cx, 0.18045788018856468cy), (-0.33272125008541403cx, -0.2544551578144071cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.22508016482286364cx, 0.2588632473520438cy), (-0.05912245699546126cx, 0.5201125536834801cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.2808377863085127cx, 0.2503226652844213cy), (-0.6687786856660889cx, 0.5776638701604763cy)]) … Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.44206729619399726cx, -0.45607380779850665cy), (-0.03680364987483049cx, -0.5773985382373046cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.21214895654837876cx, -0.3741251487505454cy), (0.3024754497836286cx, -0.3199292408306476cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.14117744167085367cx, -0.42203217435784407cy), (-0.044158331205317425cx, -0.5620801848159471cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.25339324653042306cx, -0.8213262653551033cy), (-0.13843310921479593cx, -0.6549181276708254cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.257301297411492cx, -0.8141264349896221cy), (-0.04281005146126694cx, -0.6118881580554001cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.5795142202862383cx, -0.4340042481361162cy), (-0.21611632564550418cx, -0.6187298229074085cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.5769160508456692cx, -0.42769481464248893cy), (-0.11918338645147544cx, -0.5748094564201293cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.3034240549375605cx, -0.3214382387497459cy), (-0.1420801524086596cx, -0.6145903582562425cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.30402635175371956cx, -0.32232902078279313cy), (-0.043151340590220785cx, -0.5634697762422888cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.1396196813033478cx, -0.6188413640008398cy), (-0.11664171203422247cx, -0.6072452025977467cy)])], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.5144957554275265mm)]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.5144957554275265mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}}(Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}[Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.24806972835736596cx, 0.22267325892139178cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.6348299873218097cx, -0.003511840937507893cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.17853789499812556cx, -0.19636316771407414cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.3735309513492354cx, 0.11533893321584365cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.2482035773387723cx, 0.5227860338658499cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.13309926979262554cx, 0.7160653947288433cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.11900710486678134cx, 0.6889625130860497cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.5970522410227048cx, 0.10472123105382947cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.34021104931914636cx, -0.2966705365472342cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.3181651788274943cx, -0.4614611979475516cy), 0.017149858514250882w) … Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((1.0cx, -0.3506742264180859cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.9516385094941993cx, -0.5169618312273665cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.37729429562600747cx, -1.0cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.48362878867065295cx, -0.44554396272697117cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.1753842528170224cx, -0.39618397586495113cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.29285638830171123cx, -0.8380862097361822cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.6177342949456585cx, -0.4145758877537782cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.33924015351498493cx, -0.2978704137162419cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.17789625098608408cx, -0.6381581832897465cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.07836514235148617cx, -0.58792838330884cy), 0.017149858514250882w)], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)) … Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))]), List([]), List([]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Infect Karat7\n", "karat7_state = new_state(karat7, 5)\n", "nodefillc = node_colors[karat7_state.+1]\n", "plot = gplot(karat7, nodefillc = nodefillc)\n", "draw(PNG(\"img/q1_1.png\", 100cm, 100cm), plot)\n", "display(plot)" ] }, { "cell_type": "code", "execution_count": 51, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, UnitBox{Float64, Float64, Float64, Float64}(-1.2, -1.2, 2.4, 2.4, 0.0mm, 0.0mm, 0.0mm, 0.0mm), nothing, nothing, nothing, List([Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.LinePrimitive}(Compose.LinePrimitive[Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.542604204832658cx, 0.6145921685465066cy), (0.45054991350650764cx, 0.4988783576429574cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.5531947264786835cx, 0.6109276788596201cy), (0.5543123968905469cx, 0.41721217302385577cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.5629906931486046cx, 0.6414284659809143cy), (0.6731576321909329cx, 0.793385768880425cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.5370792237660841cx, 0.6330270449466288cy), (0.5421287108187419cx, 0.6313737569077201cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.5419846970625687cx, 0.6151097097262787cy), (0.36630898998876316cx, 0.41477440212433503cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.5663460453832198cx, 0.6382019170744618cy), (0.8098021608343743cx, 0.8296714426584476cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.5528998277197599cx, 0.64463623250276cy), (0.5494075995663448cx, 0.9424179786724088cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.5538874396720486cx, 0.6446188693956113cy), (0.5563703526423596cx, 0.6975374408813831cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.5538107566360838cx, 0.6446222923480114cy), (0.5611952101559489cx, 0.8189635701296816cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.5526795727031169cx, 0.6109325799911948cy), (0.546441589802714cx, 0.35942061844347556cy)]) … Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.5363057526288342cx, -0.17069600764782675cy), (-0.6203519800953617cx, -0.27650586098128216cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.820973960751809cx, -0.16240774564223842cy), (-0.7295259999589583cx, -0.16128322292630376cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.5809686886746671cx, -0.3724645660468846cy), (-0.38350535917845063cx, -0.3399853589502661cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.30116523032367387cx, -0.3600034948207833cy), (-0.45347794059008045cx, -0.26227085611122597cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.6959028377233145cx, -0.16277208691331793cy), (-0.5700743969855453cx, -0.17549875577569227cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.41078642061965864cx, -0.09869331350317717cy), (-0.3699251786735708cx, -0.3206732730905805cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.48411147019609885cx, -0.25685121628716195cy), (-0.614387653750929cx, -0.28602114499270975cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.4802724198614226cx, -0.24198308430888607cy), (-0.5406962720856189cx, -0.18838021388004875cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.621271437874445cx, -0.27582510706025865cy), (-0.5628689083471176cx, -0.19107369126443838cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.5572608609036721cx, -0.1935790592134269cy), (-0.5857399631920791cx, -0.3115311361143565cy)])], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.20225995873897262mm)]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.20225995873897262mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}}(Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}[Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.5530974806886662cx, 0.627782394886514cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.696623297284291cx, 0.5700379168819936cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.7730651583867105cx, 0.7935964642162538cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.3804402396772577cx, 0.767184349903244cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.4400566376504995cx, 0.48568813130294997cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.5512997996204012cx, 0.881844907226708cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.6535238494263866cx, 0.5322549024951846cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.4595596644347286cx, 0.684568598005187cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.2503985835565201cx, 0.8586570186156797cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.6633604066479941cx, 0.7235370239531334cy), 0.006741998624632421w) … Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.5976002087465199cx, -0.3752001554149127cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.286979436077501cx, -0.3691059203599546cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.7126722775980716cx, -0.16107597507213012cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.41383776018663154cx, -0.08211681701151963cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.7565164178473647cx, -0.17911625851850965cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.3668738391065979cx, -0.33724976958223807cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.46766373483625334cx, -0.25316843057205474cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.6308353891107744cx, -0.28970393070781697cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.5533049571107882cx, -0.17719486761688008cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.589695866984963cx, -0.32791532771090337cy), 0.006741998624632421w)], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))]), List([]), List([]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Infect n7_2A\n", "n7_2A_state = new_state(n7_2A, 10)\n", "nodefillc = node_colors[n7_2A_state.+1]\n", "plot = gplot(n7_2A, nodefillc = nodefillc)\n", "draw(PNG(\"img/q1_2.png\", 100cm, 100cm), plot)\n", "display(plot)" ] }, { "cell_type": "code", "execution_count": 52, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, UnitBox{Float64, Float64, Float64, Float64}(-1.2, -1.2, 2.4, 2.4, 0.0mm, 0.0mm, 0.0mm, 0.0mm), nothing, nothing, nothing, List([Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.LinePrimitive}(Compose.LinePrimitive[Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.039040921259990514cx, -0.32017217223778116cy), (-0.21310943536152563cx, -0.29424082714276445cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.04189232594581084cx, -0.3148676935313874cy), (-0.26731540696089295cx, 0.062218345941711335cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.05014247089550019cx, -0.3281934012365688cy), (0.08283981473305854cx, -0.40103993960643514cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.05383238347652927cx, -0.3171713061567024cy), (0.06993553499278529cx, -0.3083154018478719cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.04462866349790168cx, -0.3285517776264164cy), (-0.009574450380483603cx, -0.5088144090629162cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.05315507443780667cx, -0.32582224570966717cy), (0.1649542797616512cx, -0.4124238828716322cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.04654528571945625cx, -0.3130834345811235cy), (0.031402014674814314cx, 0.019258531582315233cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.05355762458993878cx, -0.32525228343177176cy), (0.2609801987412505cx, -0.45843168141934826cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.054111713009771675cx, -0.32423136152812515cy), (0.14424060949908601cx, -0.36488276510868367cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.04576893017108941cx, -0.3288045547237023cy), (0.010899083195540551cx, -0.5689089198248783cy)]) … Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.11274360202494427cx, -0.5336166047089921cy), (-0.1923862596052448cx, -0.549510257376767cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.590463895806283cx, -0.3280956519720804cy), (0.6474893959995297cx, -0.34406560958565774cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.35992479095378077cx, -0.5490157361133888cy), (0.40629092489960233cx, -0.5932431922351915cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.7228678573776163cx, 0.14402877089776395cy), (0.779209838213386cx, 0.13715659129111363cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.6985409697996432cx, 0.19533322127383265cy), (-0.7640802300059422cx, 0.20896552632879342cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.13593520976457885cx, 0.4441217525014986cy), (0.1720651480347989cx, 0.47465233474992524cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.4050140870620216cx, 0.6471494353731608cy), (0.40509682413973547cx, 0.6926218509991382cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.41858074767600756cx, 0.950651546233731cy), (0.44502367335924026cx, 0.9932817887096574cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.3382337183191708cx, -0.5161142658423548cy), (-0.38489919558271235cx, -0.5646762117401205cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.10064098901997746cx, -0.388973941481298cy), (0.003513079862168241cx, -0.4362704993716951cy)])], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.09486832980505139mm)]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.09486832980505139mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}}(Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}[Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.046905137906055216cx, -0.32098093459086074cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.22097365200759034cx, -0.29343206478968487cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.27232821892113734cx, 0.06833158700118469cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.053700981728015074cx, 0.1639222395102471cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.08038605643122432cx, 0.2138232769252657cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.22042163748146182cx, -0.5382069352730924cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.06935255275816998cx, -0.18674260893402617cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.1371924037187502cx, -0.2815158642247987cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.37564382107093564cx, 0.010458317192370004cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.14195835202156581cx, -0.21330192449683105cy), 0.0031622776601683794w) … Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.05958792367267807cx, -0.6408329038450781cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.2548511723253275cx, -0.4862159546783389cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.40511120852947125cx, 0.7005275320633686cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.41201147030870966cx, -0.598699872565057cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.35464011428289544cx, -0.43354893441062614cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.2698098392766498cx, -0.35747339504424946cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.44060351548063004cx, 0.8680563192359667cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.3158594284777354cx, 0.17248365598726823cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.1823519188597129cx, 0.8875249182008496cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.21266031968048238cx, 0.6052939213828916cy), 0.0031622776601683794w)], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))]), List([]), List([]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Infect Toulouse_neigh\n", "toulouse_neigh_state = new_state(toulouse_neigh, 50)\n", "nodefillc = node_colors[toulouse_neigh_state.+1]\n", "plot = gplot(toulouse_neigh, nodefillc = nodefillc)\n", "draw(PNG(\"img/q1_3.png\", 100cm, 100cm), plot)\n", "display(plot)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "Question 2 (written): What do you think/predict about the influence of the initial number of infected people and their locations on the evolution of an SIS model epidemic ?\n", "\n", "> Plus le nombre initial d'infectés sera élevé, et plus l'épidémie va se propager rapidement. De plus, plus la répartition initial des infectés dans la population est uniforme, plus la propagation de l'épidemie sera rapide." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", " \n", "### 1.3 Spread the infection" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", " \n", "Question 3 (code): Implement the function `SIS` (respect the header and the specifications). You can use `state` to translate the probabilities. Test your algorithm on `karat7`, `n7_2A`, and `toulouse_neigh` with arbitrary $\\beta$, $\\alpha$, and $t$.\n", " \n", "###### The corrector should be able to write `new_state = SIS(net,state,beta,alpha,t)` with your code." ] }, { "cell_type": "code", "execution_count": 53, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "SIS" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "function SIS2(net, state, beta, alpha, time)\n", " X = zeros(time+1, 2)\n", " adjacent_matrix = adjacency_matrix(net)\n", " n = nv(net)\n", "\n", " X[1, 1] = sum(state .== 0)\n", " X[1, 2] = sum(state .== 1)\n", "\n", " for t = 2:(time+1)\n", " # println(\"-\"^50, t)\n", " # println(\"state_0 = \", state)\n", "\n", " # on trouve le nombre de voisins de chaque individus\n", " adjacent_infected = adjacent_matrix * (state .== 1)\n", " # println(\"adjacent = \", number_infected_adjacent)\n", "\n", " # calcul des probas d'infection\n", " proba_infection = (state .== 0) .* (adjacent_infected .!= 0) .* (1 .- (\n", " (state .== 0) .* fill(1 - beta, n)\n", " ) .^ adjacent_infected)\n", " # println(\"proba_i = \", proba_infection\n", "\n", " # tirage au sort des infections\n", " state[((state.==0).*(adjacent_infected.!=0).*rand(n)).(1-alpha)] .= 0\n", " # println(\"state_g = \", state)\n", "\n", " X[t, 1] = sum(state .== 0)\n", " X[t, 2] = sum(state .== 1)\n", " end\n", " return state, X\n", "end\n", "\n", "\"\"\"\n", "Take a contact network at a certain state and apply t time steps of an SIS model.\n", "\n", "* PARAMS\n", " - net (LightGraph): graph representing the contact network\n", " - state (Array{Int32,1}): disease status of each vertex\n", " - beta (Float64): infection rate\n", " - alpha (Float64): curing rate\n", " - time (Int32): number of time step\n", "\n", "* RETURNS\n", " - (Array{Int32,1}): the new state of the contact network after t time steps\n", "\"\"\"\n", "function SIS(net, state, beta, alpha, time)\n", " new_state, _ = SIS2(net, state, beta, alpha, time)\n", " return new_state\n", "end" ] }, { "cell_type": "code", "execution_count": 54, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, UnitBox{Float64, Float64, Float64, Float64}(-1.2, -1.2, 2.4, 2.4, 0.0mm, 0.0mm, 0.0mm, 0.0mm), nothing, nothing, nothing, List([Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.LinePrimitive}(Compose.LinePrimitive[Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.18108545816171095cx, -0.2880924154050262cy), (-0.11877126556187545cx, -0.035617567994792695cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.1585658068987663cx, -0.3020986033141432cy), (0.1835277623795337cx, -0.013979535617297239cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.152476026376651cx, -0.3477826703439597cy), (-0.027167645382869456cx, -0.40599963181660415cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.22950976185565894cx, -0.34928246445239264cy), (-0.5262951924197288cx, -0.5014810576101665cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.22383428430850927cx, -0.3577108874490158cy), (-0.6403159334205311cx, -0.7167105282071193cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.23097772880262893cx, -0.34610720712629717cy), (-0.6841224243408554cx, -0.5335625101072032cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.15288632421835963cx, -0.31079513768189737cy), (-0.08295869051326382cx, -0.2764013550376593cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.16636644996494976cx, -0.29488122578894493cy), (0.17216704166829344cx, 0.17699155682398562cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.21579507788361935cx, -0.36494753350061454cy), (-0.4763049072902645cx, -0.7405285695636199cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.1986611893296793cx, -0.3719662237313109cy), (-0.29990553724347896cx, -0.9577517305489838cy)]) … Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.6344157514096688cx, -0.03520139984750541cy), (0.52053227082877cx, 0.3900848927102272cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.4923484195920946cx, 0.03581455192857091cy), (0.46205100779366665cx, -0.09531397376052725cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.5029016941128276cx, 0.12045381832727528cy), (0.5085406879153554cx, 0.3886351929832578cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.8038981762944714cx, 0.4721354751780247cy), (0.5828308802757511cx, 0.522446419691933cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.8030116585217603cx, 0.4586701090877424cy), (0.5521342027126396cx, 0.4354515088835659cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.23237913882533617cx, 0.45284829532828763cy), (0.4994931839900352cx, 0.5213151296679782cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.23369759811919527cx, 0.44076332630143605cy), (0.46659152936035336cx, 0.43293982179618046cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.45802929679861776cx, -0.09458470864584997cy), (0.5353949537551711cx, 0.4894572812292982cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.45667891370560576cx, -0.09442757103786262cy), (0.5051621415123604cx, 0.38883986672266146cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.5281665484769865cx, 0.49105965882670866cy), (0.5223006567192242cx, 0.47240134689922897cy)])], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.5144957554275265mm)]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.5144957554275265mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}}(Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}[Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.19135920175697207cx, -0.3297179542802946cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.10849752196661433cx, 0.006007970880475666cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.21632115723773948cx, 0.013639815348854167cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.011715529997451624cx, -0.42406434788026925cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.5644457525184157cx, -0.5210455677822645cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.6727910159720683cx, -0.7447034613758405cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.7237409513865122cx, -0.5499517629532058cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.04448581297465137cx, -0.25747853843926205cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.19715979346031576cx, 0.21182828531533526cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.2429961345617131cx, 0.6253915000313144cy), 0.017149858514250882w) … Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.757223468302054cx, -0.4729871001340391cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.8704090161147167cx, -0.2686900113544669cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((1.0cx, 0.5806704874797848cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.6455060173082448cx, -0.07661687155092234cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.5020003770979891cx, 0.07758864689688894cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.8457038563042059cx, 0.46262125355766415cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.19084712254935465cx, 0.44220278368397237cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.45239905028777216cx, -0.13708806872884527cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.5410252002660167cx, 0.5319606413122935cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.509442004930194cx, 0.43150036441364414cy), 0.017149858514250882w)], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)) … Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))]), List([]), List([]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Test on karat7\n", "karat7_state = new_state(karat7, 5)\n", "state, X = SIS2(karat7, karat7_state, 0.9, 0.3, 10)\n", "\n", "plot = Plots.plot(1:size(X)[1], X, labels=[\"Susceptible\" \"Infected\"], palette=node_colors)\n", "png(\"img/q3_1p.png\")\n", "display(plot)\n", "\n", "nodefillc = node_colors[state.+1]\n", "plot = gplot(karat7, nodefillc = nodefillc)\n", "draw(PNG(\"img/q3_1g.png\", 100cm, 100cm), plot)\n", "display(plot)" ] }, { "cell_type": "code", "execution_count": 55, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, UnitBox{Float64, Float64, Float64, Float64}(-1.2, -1.2, 2.4, 2.4, 0.0mm, 0.0mm, 0.0mm, 0.0mm), nothing, nothing, nothing, List([Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.LinePrimitive}(Compose.LinePrimitive[Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.25737998494935416cx, -0.5896759051306093cy), (-0.26945052296320077cx, -0.43864736752881767cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.26747984659540236cx, -0.5941016961557871cy), (-0.44374646616296776cx, -0.4034634231307cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.2456123885046486cx, -0.6197217476522497cy), (-0.08686498972763582cx, -0.8214061427995394cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.2728589011607633cx, -0.6075358788183802cy), (-0.3878563612299726cx, -0.6147724005296973cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.24802575546653047cx, -0.591648030980867cy), (-0.13155080542471745cx, -0.37605066915377283cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.2453292939233728cx, -0.6194939368943356cy), (-0.04048689913188594cx, -0.8685023842382117cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.2579568965793291cx, -0.6232226424654492cy), (-0.2942781714340903cx, -0.9400457142448363cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.2682183546267659cx, -0.6181267836717949cy), (-0.36081015161824376cx, -0.7066768587808756cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.26683620143429093cx, -0.6194184242603573cy), (-0.41434081863562183cx, -0.7961817738885172cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.26571850208149267cx, -0.5926801219188876cy), (-0.44224789532857073cx, -0.34110170413301766cy)]) … Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.5787695561667411cx, 0.36480447001422994cy), (0.6440946210663298cx, 0.4925889258408586cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.836875296380211cx, 0.3850179644002323cy), (0.7185128258649432cx, 0.40579977090540775cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.6049776808881422cx, 0.5585361632187316cy), (0.4149311001704079cx, 0.5143379030576785cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.3225668956878206cx, 0.5376329131087014cy), (0.4722867605671087cx, 0.4737305232638594cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.6854696693660807cx, 0.4050066914486718cy), (0.5893304867677271cx, 0.38332637168482725cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.4837612251462782cx, 0.26890111412017786cy), (0.4041221386579903cx, 0.4946251830580421cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.5041524980152187cx, 0.4711538868871441cy), (0.6354030291246421cx, 0.5035567442978506cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.4995405010030937cx, 0.4550314844521939cy), (0.5611366827316256cx, 0.39170108447826646cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.6429230986515269cx, 0.49324802158359643cy), (0.5817320136256146cx, 0.3939670763861817cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.5815702367317138cx, 0.39406553657451704cy), (0.6258144203678998cx, 0.46768998068321144cy)])], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.20225995873897262mm)]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.20225995873897262mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}}(Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}[Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.2560371777884848cx, -0.6064773270353061cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.03787770498161436cx, -0.6946630854470345cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.56220908439901cx, -0.7742046509291574cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.4028685331977774cx, -0.6449882425412647cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.27079333012407014cx, -0.4218459456241208cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.3374982109179149cx, -0.8541997242433248cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.002309122082402415cx, -0.602254247586158cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.4634132547076957cx, -0.6189475571384752cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.15667772807850222cx, -0.8117022946821111cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.49516348819510525cx, -0.7611824308556854cy), 0.006741998624632421w) … Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.6213945565162031cx, 0.5623541605607536cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.30706485695621cx, 0.5442493852997223cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.7019117716978078cx, 0.40871454527587714cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.4893691392619215cx, 0.25300639146256354cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.7198568439742137cx, 0.488894880373679cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.398514224542347cx, 0.5105199057156564cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.4877887992987193cx, 0.46711405107283843cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.6517667278411414cx, 0.5075965801121562cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.572888384436cx, 0.3796185178576219cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.6344962726636136cx, 0.48213699940010657cy), 0.006741998624632421w)], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))]), List([]), List([]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Test on N7_2A\n", "n7_2A_state = new_state(n7_2A, 10)\n", "state, X = SIS2(n7_2A, n7_2A_state, 0.5, 0.3, 10)\n", "\n", "plot = Plots.plot(1:size(X)[1], X,labels=[\"Susceptible\" \"Infected\"], palette=node_colors)\n", "png(\"img/q3_2p.png\")\n", "display(plot)\n", "\n", "nodefillc = node_colors[state.+1]\n", "plot = gplot(n7_2A, nodefillc = nodefillc)\n", "draw(PNG(\"img/q3_2g.png\", 100cm, 100cm), plot)\n", "display(plot)" ] }, { "cell_type": "code", "execution_count": 56, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, UnitBox{Float64, Float64, Float64, Float64}(-1.2, -1.2, 2.4, 2.4, 0.0mm, 0.0mm, 0.0mm, 0.0mm), nothing, nothing, nothing, List([Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.LinePrimitive}(Compose.LinePrimitive[Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.07562352804203445cx, -0.38446477568526843cy), (0.09403966287510648cx, -0.008822539935015623cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.07644455321125485cx, -0.38414770635761325cy), (0.009875321147285374cx, -0.11729385220379358cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.07177791007761988cx, -0.3951471609234271cy), (-0.04996217304143638cx, -0.4058325808252377cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.07335942310409795cx, -0.39733081270897835cy), (-0.03178558649071326cx, -0.43998105635517265cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.08651063663427776cx, -0.3937283634694067cy), (-0.210378964294278cx, -0.42713725620574367cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.0762439199804971cx, -0.39912373459871764cy), (-0.02361989319351451cx, -0.5480593264547756cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.08305897096990082cx, -0.3849601931955652cy), (-0.23802461671487904cx, -0.13629497477327343cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.07773677574071312cx, -0.39949259509362944cy), (-0.043338389212954416cx, -0.6353510761402977cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.07795526353054469cx, -0.39952135612304607cy), (-0.06329201692187084cx, -0.5243337768930261cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.08433344550439718cx, -0.38594822563906134cy), (-0.26960576715099266cx, -0.19165335849928797cy)]) … Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.5349216082172438cx, -0.026854557205973476cy), (-0.5668886685269828cx, -0.059393994890446986cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.7977809946317808cx, -0.34180495763606633cy), (-0.8207041858402901cx, -0.36643978071281536cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.04603452584324519cx, -0.7698973447821957cy), (-0.045415485862753235cx, -0.8383792914559834cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.5736446526292173cx, 0.009969609019551557cy), (0.46362864425762845cx, -0.01453175490185475cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.024490889446356523cx, 0.30387793672937913cy), (0.023686717626332843cx, 0.36035165215561027cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.6098001331701307cx, 0.7961980071783287cy), (0.6452932647562223cx, 0.8511825300057593cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.9721807237494969cx, 0.11537310325056624cy), (0.9935168037286849cx, 0.13026208259726627cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.5916073007714037cx, -0.38780822056826086cy), (0.6298257799610337cx, -0.4388742729125756cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.002473882397007172cx, -0.23060456287850747cy), (0.03328111228381468cx, -0.2731283544384094cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.5273636126276918cx, -0.4004708233201968cy), (0.5790041946180967cx, -0.440324486655829cy)])], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.09486832980505139mm)]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.09486832980505139mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}}(Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}[Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.07887769848369919cx, -0.3916696611622622cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.09729383331677122cx, -0.0016176544580218666cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.012308466419729713cx, -0.10977189739914461cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.38162751209500057cx, 0.4246872689654966cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.4382724572910799cx, 0.4817465425047107cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.08718514969464541cx, -0.1641733179463083cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.21222009457880353cx, 0.039930798385157784cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.3210451408387167cx, 0.11528522588774281cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.024001083302829906cx, 0.4552932074463927cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.2074430050409759cx, 0.12602935038361807cy), 0.0031622776601683794w) … Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.5632802310329135cx, -0.6631713970681725cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.1498990085951193cx, 0.12757611107640288cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((1.0cx, 0.13478625833518865cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.04534402555743122cx, -0.8462846626316313cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.5118910929839517cx, 0.4550120223336802cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.08700854546621395cx, 0.021247782785790648cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.13415678130855446cx, 0.9732931191841554cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.6249565204186471cx, 0.5371659368158135cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.25928052414585134cx, -0.08741194180286149cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.48642079834641416cx, 0.2199138006097674cy), 0.0031622776601683794w)], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))]), List([]), List([]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Test on Toulouse_neigh\n", "toulouse_neigh_state = new_state(toulouse_neigh, 50)\n", "state, X = SIS2(toulouse_neigh, toulouse_neigh_state, 0.8, 0.2, 100)\n", "\n", "plot = Plots.plot(1:size(X)[1], X, labels=[\"Susceptible\" \"Infected\"], palette=node_colors)\n", "png(\"img/q3_3p.png\")\n", "display(plot)\n", "\n", "nodefillc = node_colors[state.+1]\n", "plot = gplot(toulouse_neigh, nodefillc = nodefillc)\n", "draw(PNG(\"img/q3_3g.png\", 100cm, 100cm), plot)\n", "display(plot)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "### 1.4 Simulate and understand the epidemic\n", " \n", "In the SIS model of this project, every disease is characterized by:\n", "\n", "* The infection rate $\\beta$ representing the chance of infection when being in contact with an infected individual.\n", "* The curing rate $\\alpha$ representing the chance of being cured of the disease.\n", "* The effective spreading rate $\\tau=\\frac{\\beta}{\\alpha}$ representing the capacity of the disease to spread. More the disease infect easily ($\\beta$ high) and less it is cured easily ($\\alpha$ low) more $\\tau$ can be high.\n", "\n", "We are now willing to understand what are the influences of these parameters as well as the contact network shape on an epidemic." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "Question 4 (written): The function `SIS` you implemented launches one run of an SIS model on a given contact network. As it makes use of randomness, one run of spreading is stochastic. Then what simple method can you propose to provide a prediction of the disease spreading on a given contact network ?\n", "\n", "> Pour obtenir une prédiction d'un modèle SIS, on peut simplement executer la simulation un grand nombre de fois et ensuite tracer la moyenne de ces simulations." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", " \n", "Question 5 (code): Implement the function `Simulation_SIS` (respect the header and the specifications).\n", " \n", "###### The corrector should be able to write `predictions, taus = Simulation_SIS(net, nbinf, betas, alphas, t, nbsimu)` with your code." ] }, { "cell_type": "code", "execution_count": 57, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Simulation_SIS" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "\"\"\"\n", "Take a contact network, different diseases (defined by different parameters alpha and beta), a number of initial infected people and process nbsimu simulations of SIS over t time steps. You will provide the prediction of the percentage of infected at each time t as well as the spreading rate of each disease.\n", "\n", "* PARAMS\n", " - net (LightGraph): graph representing the contact network\n", " - nbinf (Int32): number of infected at the start of each simulation\n", " - betas (Array{Float64,1}): array of infection rate on edges\n", " - alphas (Array{Float64,1}): array of curing rate on vertices\n", " - time (Int32): number of time step\n", " - nbsimu (Int32): number of simulations\n", "\n", "* RETURNS\n", " - (Array{Float64,2}): the prediction of the percentage of infected at each time step and for each disease. The first dimension contains the time steps and the second contains the diseases\n", " - (Array{Float64,1}): effective spreading rate for each disease\n", "\"\"\"\n", "function Simulation_SIS(net, nbinf, betas, alphas, t, nbsimu)\n", " taus = zeros(length(alphas))\n", " prediction = zeros(t+1, length(taus))\n", "\n", " for (i, (beta, alpha)) in enumerate(zip(betas, alphas))\n", " taus[i] = round(beta / alpha, digits = 2)\n", " for _ in 1:nbsimu\n", " state = new_state(net, nbinf)\n", " _, X = SIS2(net, state, beta, alpha, t)\n", " prediction[:, i] += X[:, 2] ./ nbsimu ./ length(state)\n", " end\n", " end\n", "\n", " return prediction, taus\n", "end" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "Question 6 (written): Run the 2 scripts below and describe what you see. Conclude on the influence of $\\tau$, $\\beta$, and $\\alpha$ on an epidemic we can model with SIS.\n", " \n", "> Il semblerait que plus $\\tau$ est élevé, plus la limite du pourcentage d'infectés sera élevé.\n", "> De même le rapport entre les valeurs de $\\beta$ et $\\alpha$ semblent impacter la forme de la courbe, pour de petites valeurs la courbe sera plus \"douce\" que pour des grandes valeurs (cf les coubes de même $\\tau$, mais de valeurs $\\beta$ et $\\alpha$ différentes)." ] }, { "cell_type": "code", "execution_count": 58, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Script launching predictions on different diseases on karat7 and printing the precentage of infected at each time step.\n", "betas = [0.05, 0.1, 0.01, 0.4, 0.04, 0.05, 0.005]\n", "alphas = [0.05, 0.1, 0.01, 0.1, 0.01, 0.1, 0.01]\n", "\n", "predictions, taus = Simulation_SIS(karat7, 2, betas, alphas, 100, 1000)\n", "plot = Plots.plot(predictions, label = taus', xlabel = \"Time\", ylabel = \"% of infected\")\n", "png(\"img/q6_1.png\")\n", "display(plot)" ] }, { "cell_type": "code", "execution_count": 59, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Same as before but applied on n7_2A.\n", "betas = [0.05, 0.1, 0.01, 0.4, 0.04, 0.05, 0.005]\n", "alphas = [0.05, 0.1, 0.01, 0.1, 0.01, 0.1, 0.01]\n", "\n", "predictions, taus = Simulation_SIS(n7_2A, 100, betas, alphas, 100, 100)\n", "plot = Plots.plot(predictions, label = taus', xlabel = \"Time\", ylabel = \"% of infected\")\n", "png(\"img/q6_2.png\")\n", "display(plot)" ] }, { "cell_type": "code", "execution_count": 60, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Same as before but applied on toulouse_neigh. May be a bit long to run.\n", "betas = [0.05, 0.1, 0.15, 0.25, 0.35, 0.45, 0.55, 0.65, 0.75, 0.85, 0.95]\n", "alphas = [0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2]\n", "\n", "predictions, taus = Simulation_SIS(toulouse_neigh, 100, betas, alphas, 100, 100)\n", "plot = Plots.plot(predictions, label = taus', xlabel = \"Time\", ylabel = \"% of infected\")\n", "png(\"img/q6_3.png\")\n", "display(plot)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "Question 7 (written): Change the initial number of infected in the scripts above, is it in accordance with your answer in Question 2 ?\n", "\n", "> On remarque que plus l'on augmente le nombre initial d'infecté, plus le pourcentage d'infectés dans la population converge rapidement. On peut le voir notament avec la tangente à l'origine qui est de pente plus importante pour un nombre d'infecté initial élevé." ] }, { "cell_type": "code", "execution_count": 61, "metadata": { "scrolled": true }, "outputs": [ { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Change the initial number of infected\n", "betas = [0.5]\n", "alphas = [0.2]\n", "\n", "plot = Plots.plot()\n", "for i in [5 10 50 100]\n", " predictions, _ = Simulation_SIS(toulouse_neigh, i, betas, alphas, 50, 100)\n", " Plots.plot!(predictions, label = i, xlabel = \"Time\", ylabel = \"% of infected\")\n", "end\n", "\n", "png(\"img/q7.png\")\n", "display(plot)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "Question 8 (code): Implement a script plotting the maximum percentage of infected people according to $\\tau$ over 300 time steps for 3 contact networks:\n", "\n", "* A regular graph of 200 vertices with degree 2.\n", "* A regular graph of 200 vertices with degree 5.\n", "* A regular graph of 200 vertices with degree 10.\n", "\n", "You can use the function `random_regular_graph(n,d)` of LighGraphs. As you probably need to use a certain number of different values of $\\tau$ to visualize something interesting (the more there are the more the figure will be smooth) you should fix $\\alpha$ and make $\\beta$ vary. \n", "\n", "###### A regular graph is a graph where each vertex has the same degree." ] }, { "cell_type": "code", "execution_count": 62, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, UnitBox{Float64, Float64, Float64, Float64}(-1.2, -1.2, 2.4, 2.4, 0.0mm, 0.0mm, 0.0mm, 0.0mm), nothing, nothing, nothing, List([Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.LinePrimitive}(Compose.LinePrimitive[Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.5831305557448305cx, -0.7671388337322311cy), (-0.5970648142816402cx, -0.7420329775009857cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.5588867127067608cx, -0.7907870912406599cy), (-0.5270694259503513cx, -0.8074251339499469cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.6143809328141446cx, -0.4038220622792684cy), (-0.5777389268430958cx, -0.5064992609873096cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.6239847258101519cx, -0.3698786392390282cy), (-0.647088555905736cx, -0.26077554587203056cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.5973378529170258cx, -0.7109714102784962cy), (-0.5820160868064118cx, -0.6821843345983267cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.7219153595942797cx, -0.7465154504525953cy), (0.7119755612991275cx, -0.7331024798107971cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.7162799290456887cx, -0.7535534230233061cy), (0.6961535039561872cx, -0.7446302581495218cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.027434374561974225cx, 0.7936626324802023cy), (-0.027386727808374756cx, 0.7863192986835073cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.014400425650006838cx, 0.7995241318439003cy), (0.007850043692328411cx, 0.77952914270307cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.6847057983669881cx, -0.7132323480918035cy), (0.6482519713510416cx, -0.7008944206401286cy)]) … Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.42673004110593676cx, 0.7181478605522701cy), (0.4729938827458841cx, 0.6909488498328721cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.39384184371906733cx, 0.7281126512226822cy), (0.33486620975027975cx, 0.731472708810141cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.5158136344069687cx, 0.6179170547209554cy), (0.495222491850182cx, 0.6657523658583799cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.1301029917143499cx, -0.783809503861858cy), (-0.20357408708206226cx, -0.8116778266110632cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.3730885898870376cx, -0.08605585209267488cy), (0.34455085546999137cx, -0.16324528214495923cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.3247616333236073cx, 0.5727964234324601cy), (-0.3550091621056781cx, 0.6427986713099509cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.6454662279650903cx, 0.17374853474655994cy), (-0.654344295855808cx, 0.06424172655785453cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.6754745648863847cx, -0.22402737965783645cy), (0.708934271784784cx, -0.27185969853253306cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.603672025589815cx, -0.46612444930172986cy), (-0.65126352675408cx, -0.46344073355789145cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.048768677359692335cx, -0.14042524813491186cy), (-0.05602442385254728cx, -0.07512459428636775cy)])], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.21213203435596426mm)]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.21213203435596426mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}}(Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}[Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.574551843824757cx, -0.7825954084430908cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.6203224889647663cx, -0.38717280071879645cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.6056435262017137cx, -0.726576402790126cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.7324405110630343cx, -0.7607183088465866cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.02754907258036532cx, 0.811339929908389cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.7014504098303729cx, -0.7188996214168057cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.1668165863083758cx, 0.12190387404745229cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.43099639504777554cx, 0.4313649969299602cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.7482998534768497cx, -0.3625196039985171cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.6064580630159595cx, 0.23820736837968814cy), 0.007071067811865475w) … Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.26167674256589357cx, -0.5776924204828857cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.2357048545462883cx, 0.8102480829776373cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.42756407478831404cx, 0.39512219861982767cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.49368409430088733cx, 0.30280591660577505cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.22454532506625557cx, 0.6332901498641186cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.05797662731400299cx, -0.05755504956702229cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.23462609171970117cx, -0.47910330668329904cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.17595864649484938cx, 0.04220700798500321cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.3620209948314186cx, 0.6590262466626102cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.6507507927511216cx, -0.2434813843922623cy), 0.007071067811865475w)], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.25098039215686274,0.8784313725490196,0.8156862745098039,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))]), List([]), List([]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, UnitBox{Float64, Float64, Float64, Float64}(-1.2, -1.2, 2.4, 2.4, 0.0mm, 0.0mm, 0.0mm, 0.0mm), nothing, nothing, nothing, List([Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.LinePrimitive}(Compose.LinePrimitive[Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.37377294826075785cx, -0.417695347148966cy), (0.003188406843316855cx, -0.12197200831926583cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.37073428049375273cx, -0.4233951547569724cy), (-0.04114705590174124cx, -0.2932436756547362cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.39464160700988526cx, -0.41251105767339996cy), (0.5448104809678413cx, -0.06727656666036615cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.40320433658424537cx, -0.42043269281247525cy), (0.5305164894835378cx, -0.35284718347629435cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.39460078869205584cx, -0.44494977595935864cy), (0.5144996477866673cx, -0.7225018363009759cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.254454983950174cx, -0.2563804853894752cy), (-0.0063260276864496cx, -0.5689643734207595cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.2766472948548099cx, -0.22885907617266016cy), (-0.5158505603990916cx, 0.06317724968843079cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.26023179909390565cx, -0.22564349224522318cy), (-0.14027471324480248cx, 0.16297611476218576cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.25804006387539685cx, -0.2264830869018651cy), (-0.07994340524416793cx, 0.1595400100171018cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.263033413672431cx, -0.2600470711369795cy), (-0.2086269903257479cx, -0.6550159167888111cy)]) … Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.6181277241063078cx, 0.07820972765749223cy), (0.5780231305090991cx, -0.3834920643676559cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.20391207031481084cx, 0.5350798806568103cy), (0.7054425266068015cx, 0.22731684672879743cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.20608149703883838cx, 0.5404007306371674cy), (0.5977105124275709cx, 0.4512211820031109cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.4113334285077016cx, 0.1437549065137839cy), (-0.8029439179510527cx, 0.13369745915182504cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.37614694693096357cx, 0.14181346878398585cy), (0.2974672232157644cx, 0.0496904268914988cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.37981099878938035cx, 0.1332241688504979cy), (-0.11433744331849124cx, -0.0773169665952279cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.5625263534480204cx, -0.3902672465684632cy), (0.2670958767119847cx, -0.16106030780109054cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.4931975401101883cx, 0.2835805547750623cy), (-0.8045506394133473cx, 0.1406200473579482cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.10999900978996578cx, -0.8893930230552562cy), (-0.3591121733567795cx, -0.5458395227563526cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.13475377227326865cx, 0.4595650045462629cy), (-0.32923542354932755cx, 0.04901805869433027cy)])], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.21213203435596426mm)]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.21213203435596426mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}}(Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}[Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.3875904159465cx, -0.4287215698364266cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.265445709959647cx, -0.24253476613099345cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.5219437871743694cx, -0.5324205953535182cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.4805389824766251cx, -0.6283107288658869cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.5883872598041606cx, -0.8220099109989047cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.10593234945549068cx, -0.310257572875974cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.15246032804331855cx, 0.47716821325003855cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.37656231570450593cx, -0.8925002778618605cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.6942079326390298cx, 0.045375190033836166cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.6519808733258285cx, -0.33897807165994287cy), 0.007071067811865475w) … Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.25312886677132096cx, -0.15022413535333945cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.33680337530783055cx, 0.03304226118118647cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.746779112633551cx, -0.11899915592572952cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.6386276057079874cx, -0.5620626312943618cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.8206157604521676cx, 0.13324360607450725cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.5591522402597733cx, -0.3110801910367049cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.3149818622913876cx, 0.04729513608438296cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.17164872197176617cx, 0.7054191539384125cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.10048685610128483cx, -0.08830155733583167cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.36948939896659405cx, -0.5315282269155488cy), 0.007071067811865475w)], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.25098039215686274,0.8784313725490196,0.8156862745098039,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))]), List([]), List([]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhcAAAF6CAYAAACqW3pRAAAABmJLR0QA/wD/AP+gvaeTAAAgAElEQVR4nOydd5xU1fnGn+fcmdldWECKvYAFgZ25s4DYGyBqNLbEaIzGbjTRGEsSTfJLNYklCSaxxRZjL2jUGHslFmwr7E5ZQBSwQQygwC7sTrnn+f1x75BxnUUwGo2e7+ezn9mde++Zc+/MznnvW54XcDgcDofD4XA4HA6Hw+FwOBwOh8PhcDgcDofD4XA4HA6Hw+FwOBwOh8PhcDgcDofD4XA4HA6Hw+FwOBwOh8PhcDgcDofD4XA4HA6Hw+FwOBwOh8PhcDgcDofD4XA4HA6Hw+FwOBwOh8PhcDgcDofD4XA4HA6Hw+FwOBwOh8PhcDgcDofD4XA4HA6Hw+FwOBwOh8PhcDgcDofD4XA4HA6Hw+FwOBwOh8PhcDgcDofD4XA4HA6Hw+FwOBwOh8PhcDgcDofD4XgP/KQn4HA4HP8rjJ83Y5g8s2kCwauPbDZ2wSc9H4fj04ozLhyOTzGTXm0ZUI7FdoXVYEqtT2wxtu2TntPnkd1eyW7KeHA1hb0qz0mYUh+Lf+uhTZPvfJJzczg+jTjjwuH4lDJ+3oyDQF4JYN2qp+9Cn/hRU9dLdn5S8/rcIZnxr7W1ABjz/m34+9TNRx/w35+Uw/HpxnzSE3A4HO9n0qstm4G8Be81LADgS1hZOv+TmNPnlfFvzBiLWoYFABD7jZ+X3+C/OyOH49NP7JOegMPxWSEMYcSPATSSwEIEvO2JLZpnf5ixSrHYgRTqa2/VYXPmzPlRV1eXJylOsrG3cST1IVnX23ZjTH9rrVdrG0kjaUBvx5Ksk9Sn97NAI4D4al574GqOjUfH10RSA8l6hN7XePRcPJpXTFK/6HkT/VTOMRYd0y/a1wCgpMp+BBCTJGOMAYAnVwZtU+rV21QIr7AJgH+u5lwcjs8dzrhwOD4CJs5vG1uG7oe0PgAIgIz+b/y81u9M3Xz0FWs9oMWQ3oOWHNRV6L6dZF+SXQA6SZZWM9q7vb6MtSVjTK8hFkkrARR62QaSyyRVjJwEyRiAhLU27nmeZ60tGmMS1tpEdFgC4aKfsNYyWtwTlR9JddHvkOQZY+IAVj3XY+4CYKM/CyS7JRUAdANYSLJDUjeAbpLdQRB0A4AxpkByGYBOa22XMaZbUpfned1BEKx6tNbC87yNB4jfDN/R2pfohK66daf2ttXh+Jzici4cjo+A8fPbXgQ0rsamQtzYLdamsiCfzyeurQ/Of9GzZ9TangDfnNxhNkC44pUQGg9tkqZ7njcPwGsACkEQ1BtjGqy19QBQ+Z1kg6R6kg0k6ytegCpvACQ1AKgHUHnsSUP02IVwMe9CuIh3SXrPYzRet6SuyADoMsZ0VxZ2a+2qBR0AKr8nEonuYrHYNWvWrOWHHnposKbX7z8lm82uD+Crkk4gua6Axd9ttCpRfs99h1nOP7OTrSTXBXBFfX39lOHDh9c0xhyOzxPOuHA4/kP2ePP5wUG5bnFv27cs6+zTVnpLAfQFkCBZWeBjJPtZa2mMWSdy6ydJblCQXf6rvsEG7xq+L2TxpQLfnFg0VtIgAIakJNWRBIAAQJFkOVq835T0Nsk5kuYDeDe6uy8CWGGMCay1y6Oh3wWAcrncEYvFyg0NDSs/LwvlvHnz6js6OvYneRSAJIAygHnW2p+l0+nnH5uZ++sV9cHwRQYpIPziTAVcvG8pdvwmJXsOgPMkDSN5KMlHSF6WTCZf/wRPyeH4RHFhEYfjP0Sq6yU3ImRjeeOMMdsBkCQLYIWk5ZHbfgnJQNJ6ALYE8ASAv9XRnHxaF+svbAhmdhA7i6AH/isAfnTaiOY/V8bOZDIjSR4D4ACSMyX9C8B21tpNjTGUNCzKJxgAYA+SDQBeJpkH0G6tzTc0NOQ+L0ZENZJMe3v7TpKO7Ozs3IXkPJLDJD0dBMGvRo8e/TIAZLPZn29Azrt9i9FfnvRqy2blWGyzczq969exeIfU+oG1e3medy3JzPLly3dpbGzcj+RV2Wy2IOki3/cfI9lrXMXh+CziPBcOx4ektbV1Y8/zDrPkIaf3LQ8TsX6t/U5baaYOt+b2Uql085gxY5ZOmzatYdCgQQPL5fKOkr4BYBjJf1hrZxljBkn6mqQhJGeSLJesHbHCMBggrASwEsAyhF6GVT+SlgHYgOTOJNeR9IDneZlyuTyU5BcAbEiyy1rbYIxZKGluFKLoB2AYQo/Kq5LaSb5krc37vj/vs7go5vP5pKQjJe1P8gVJywHsBuBvsVjs4lGjRi2p7JvNZg8FcNTMmTMPrA7NZDKZ80geDuAda+3e6XR6US6X+w6A/eLx+NEjR45c0NbWNtbzvJOstduSvM5ae3Vzc/OK//oJOxyfAM64cDjWgpaWlgH19fUHSjpE0rokbymVSjefNyj21cWwF/dciZNlvnnSSr5J8kFJ+xhjXgcwzVo7gSEXpFKpZwAgn883Wmv/StKT9Ljv++fmcrmzAPxTUgeAtO/7v6gYJ0EQDAQwUNJ7HkluaK1NAxhpjCkDWCqpU1I/Y0ydpEaS1lrbRdJEnpNXAbweJToaSZsBWA/hd8QsAC9JypfL5baxY8cu+q9c7I+QbDa7KYAvAzgMwGJJfzfGbCppXwDXFwqFq8aNG7ey+ph8Pr+LtfY3xpi9ksn36ork8/ldgiD4o6THjTHr+75/FABkMpndSF4k6UfpdPp+AJgxY8Y6sVjsaADHAZhqrf1Dc3PzvP/GeTscnxTOuHA4PoA5c+bUFQqFvSQdAmAkgPsB3OD7/qtAGK/v7Ox85aWYzT5Qp82XGgzuY7Fi6zKfPaLkLVY5GGCMGQ5gCcLQBwCQ5N2lUunyMWPGzM9kMgNJ3m2MyVtrB6dSqcNIKpfL3W+M+VapVKo3xvzC9/3D1mbumUxmmyiPYDzJB8rl8g319fXvShpeKpV2M8bsLGkUyUJU2dEoqT/CnIwOkoUoN6Qu8nJ4CPM8VkQhmDcAzLXWZj3Pe5vkuwDe9Tzv3YULF/5rwoQJ5Y/iPfgwzJgxY514PH6ApCNINlhrb4zH47lyufxNSVsbYy5rb2+/qVayaFtb2+bGmLustfs1Nze/2XP7lClTvKamppyktxF6Ly5tbm5+DABmz549pFgs/gXA3EKh8L1x48aVgDAMk8/nvyjp2wjf/4uTyeS9n0XvkMPhjAuHowaVeLy19hCELvMnjTG3J5PJp3vsx3w+/5SkxlQqNSaXy91ujPmBMebdcrl8f58+ffZauXLlPdEC3k6yfxAEJ/Tv3789SiA8wRhTZ63dRNLVJPfv6OiYtNNOO3U98cQTsSFDhrzo+/6Y6Pdnfd/f9sOcTyVhEcDXSQ6QdLOkmypu+kwmswWAScaYSZKSAOZKWgAgRrIJoVHxrKQXjDE5z/P6BEEwBsBoScNJbhIZJSsAdAAoRV4Ra60FwvyuTvQI5wB4t2KQVBsmdXV172y++ebda3uePQzBUQDuK5fL1yYSiU2CIPg+w+zXi9Lp9KO9jZHP5wdZax82xpyQTCZbe9svm83eQnJda+1kAL/u16/fTpU5S2IUJjnEWntkT09FW1vbCGPMyQB2k3RrEARXjBkzZunanq/D8WnFGRcORxX5fD4ZGRT7A8iTvL29vf3+3kohc7ncXyTtaa0d0dzcvCKbzc5IpVJjW1tbh8bj8fsQCjNdIWlEpKXwZ2vtFSSfrqur+1lnZ+eGnufda4xpt9bu53neHQAuTCaTrW1tbTsYY07wff8EAMhmsy2LFy/e4T/1BrS1tW1C8ggAXyWZk3R9ddLhlClTvJEjR44GMInkJAAbAXhe0rxIW2qcpM2NMe2SnjHGvNTV1fX83Llz7ciRI4caY5LW2iaSSUmpSPuiVdLLxpg3JL1mjCn3DOfU+FmVKBuVzi5FbeNkKYANAIyTlDLGPFMsFq8YPXr0S5Gn4CwA84wx5yeTyfbVXZuWlpZ4XV3dfZIuTafTf1vdvtls9khJ440xZWvtbACN6XT6nOp9crncttbaKzzPOzfZ1HTn+PmtR4I8CMJgATPG1TX86ejFhd1IHk+yleRFyWQyv4ZvpcPxqcUZF47PPW1tbZsYYw4GcCiAd0je3t3dfUfPGHxPcrnc6ZJ+GovFdhg1atTL06dPXzcej98DYI6krUk+bq1dr7m5+YTIw3ERgGIymfx+Nps9AcApxphELBY7oVgsTvY871tBEAw2xpwoaVOEuQH3ptPpKwAgm83eaq39WXPzh1P97El1tYSkbSTd7nnedclk8j1qk9OmTWtobGzcOfJqTEDo0n8iCII5sVjMStpe0miEJbDPAHjG87xplcTIfD6fADA8CIImkkkA2wDYEEAXyXZJ7caYlwC09sxt6DmPHrkmaUl7AhiH8H17TdIySUMAjCC5AUIvymLUMEpQw2sC4AfW2lbf9yd/0PWLwh9/ldSvWCzuVVdX93dJx6bT6VnV++Xz+UGBtX8+v6/dcoF5n1ZGhwHHPzY03ZrNZicCODUqU75q1qxZd/439T0cjo8SZ1w4Ppf0jMdL+msikbhpxIgRvepVVJPJZPYleYOk43zfvyebze4B4FckBwE4xvf9aQCQzWZfqK+vnzR8+PDl1QaGtfZmY8x11trlJDeQdHY6nb69Mn4+n9/AWvuEpIIx5mVr7ZUkdwaQ8X3/ro/6esyZM6d/oVA4SNLhCBM6ryoWi3dX8gWqmTVrVr9isbi9MWYSgJ0kFSQ9SnJ6JNQ1FsDOkjYkOV3S057nPdPU1NRenV8wY8aMdRKJRKrK6GgCsD6A13orlZ01a9ZGpVLpEEkHkFxB8o6KIdjW1raeMeZkSQcAuK1YLF4+bty4ZUBNw6SW12Q3AIMQ5pFUvCYVsbDejJNTrLUvGGMWGWOeC4Lg1MWLF4/v6V2a+HrrXtbioV4u/2NTh42eVPkjn89vJekESXtIusPzvKuSSdd51fG/hTMuHJ8bKvF4AEdaa7cieY+19rq1zdxva2tLGWMeA3AVyZclfQdAe1TS+Gg6nb67sm82m/0egE7f9y8Hwlh8Npv9K8mdJe1I8rsIF9QtJZ2WTqefBIAox+J53/e3yWQy2xhjTrTW7mmMmWeMOa6pqem1j+iyvI9MJjPSGHNMtIA/RfJPq8s9aG9v37BcLu9ijJlkrd3WGPOKtfZRz/MeD4JgAMldEHormgH8C8Azkp4uFovTanmHZs2atVGxWFzl5SA5IvJGNEiyxpj7JV2ZSqVeIql8Pr+VtfZUANuR/FN3d/cttYyi1ZHP579irT128eLFB/Y0DObNm1ff1dU1MAiCdRAaJOsAGGiMWcda+2VjTAnANpKelLQ9ySKAijHgAVjxmz7BnDc8HNPLy3dPHdrcBz0SOyMj7mskTwTQDuB3vu9n1ua8HI5PCmdcOD7T9JKYeW0ymZzxYcaL7pyfQyiE1UXynkQiccmIESMWZ7PZ+4IgOHH06NFvVfafOXPm4HK5fL/v+9sDQDab/SKAn5PMWWs3A/BGOp0+JqpOuJLk3CAIzjTGNJM8OpVKnVQZq729fay19g+SuhA22+rVu/BREOVeTKgK09wai8VurNaBqEWP5NAtSbYAeCYWiz0KAI+gcEhbHMd1Q0MHinabknl6XMA7SL5UyTeovHZU6TJK0gPGmCcANErahmSTpFEI80FKJO+RdLu1tq25uflfa3Oe2Wx2HIDLCoXCnhVPR4Uqj8c61tpVxoUxpvL7CAA7SIoh9GQQwNaR0RmQXCqp6499bMcrnr5W6/UFrPzHsNF9VzfHfD6/i6TvSFpP0qVLliy565OsxHE4PghnXDg+k1QSM6O77/clLf4HYz6BsKPmTwuFwqXVd97ZbLbV9/3RPY/LZDI3G2N+j9A7cWosFjugXC5vI+kvxpgpqVTqDGCVV+MbJE8G8BLJR1Op1C2VcaJkw6d939++ra1thOd5x0o6kOSTki79OO9q8/n8oCAIvgLguEir44bVJbpW6Jkc+nTcNt1Wpw3B9373jC3znuO6vYK1tjnS+ehnjHkuFov9YeTIkU9U9qsq5zwLwNJYLDa5VCp1GGOSAJqiSpctEXoOXpKUl/SqMWa+MaYe7w+JbA7gCABPImyOVp1ISoQ9Uyr9U96Xr0FyqbX2QmPMDyUdtWjRoi+tu+66XwGwB4B7JH0JwLgnY/rH7Q3227Wu0WCZtl92xQ5pamqa80HvQyaT2SIy9vYFcGepVLr0f1F3xPHZxxkXjs8MNYSSrvc872/JZLL4n4ybz+fHBEHwXZL7SipZa3etSENXaG9vH2qt/WMqlTqo5/G5XG6CpHNIFmKx2JcKhcJGxphbAXwBwE8BrPR9//uV/SPvSKsx5iHP804eOXJkR2VbJpOZPmvWrG0ri3q1dyHyhFyTSCRuqT7mo6andoakqyqaH6tjm5aWeP8h8YWCBvfcRqD0qxVea3+LWZIeBwCSYwBsJylujMlaa+s8zxsnaRaAJyTZqIqkAT0qTUj2Vdh8rT+ituySvChxcwGA+SRfJXkYgMkIk1Df9TxvydpKoedyub+QvDzyKl1BciLJAwE8RPKipqamaSTthPmt1wg49j3nTSw+qBtnTix6JwF4KRaLnfNBniFgVYjvq5JOIfmatfb36XT62bWZt8PxceKMC8f/NJlMZqAxZn9VCSV9FItr5EXYA2H2PgEEJJPW2tPS6fQDPfePYvYjfN//dY05ng3gB3369BlRKBTK1tpHJB2TTqezkR7CJagyMPL5fMJa+6yk80meLekHFV2GbDZ7B4Czay3mUe7DUSSPIDnLWnvlx9nXYs6cOXVdXV0HoBftjJ7s9kbGN4Ht1btyQpdZ2FxmHUKJ847oMSZpAMOuox3W2gLJPsaYN6217QgX5JdKpdI7CD0ZS1dXcTJr1qyNyuXyNkEQ+CRPQdiqvQNhV9l8VBKcT6fTc9fkGuTz+UGSzgGwp8LmcW+Q/CGAf1prby4UCjtXwla5XO70R+LBDnM97LoCig0NaCeWzQO7Jv3jos/bV0j+GMBdjY2N56+pzkdk7J0GYLikv/Tr1+/6D6MR4nB8lDjjwvE/x7x58+pXrFixJ4AjJQ2XdGutEsoPQz6fT0g6TNJpAPLW2l8bY74i6TBjzA2pVOo3tY7LZDIXkHzM9/2Hezx/NklfUgbACpIHkrw4lUr9vbJPlYGxwvf9syLZ6SN83/9WVDVyKcIcj9OMMWcAeLH6+F7ms03kPh8naQrJa33ff/s/vT690draurEx5uvoRTsjm82u/0RCB9xZZ6/sbYwh1hz661JdtlgspkkeZK2dRDIu6eFisfizcePGzQJCb00ymRwpaRsAO0ehlFKlDJbkMx9UXZHNZi8D8Krv+5NbWlriDQ0NW69pqWw2m91U0j4AvkhyPZJTJX2ho6Njp379+r1QKBTGjhs3rpTL5X4sqdv3/d9F3qh7Ghsbd+ns7HwWwCOS5pC80BgzuOJdiwzLbwE4XtIlvu9fTdKuyXtQZVweSvKRIAguqaUu6nD8N3DGheN/gmhB2VGhJsNOJO8LguAvH5Xmw5w5c/p3d3cfK+lokvdUGlhFjat+CGBeKpU6uDcvQCaTeSwejx9acWlHd6IXkkykUqlTZ82aNbBcLrdLOj+dTv++5/GRgXEpgE5JHSRf9n3/tqrxDyH5EwAPS1qUTqcvWNPzqiox9SRd+XEmgVYSaAEca63dDcAiRK3mA6LhzMZyowVrhEXYnfBiG1+4HEOttWcA2EzSpUEQtHqeNyGqRNnKGPNiVInyWLUBkc/nN5C0bcXgQJjo+VKtMthcLneWpK0r4mS9UV0qC2AnY8yOkjYGUAKQAXCnpKf79euX7+zsfMAY8zVr7XcBPOv7/p2RofCMtfZQY8xkSZdJetbzvAestTeRpKRTjDH3plKpH1a/duQROUvSLgB+7Pv+1DV9D/L5fCIIggNJnkxykbX2ytUpkjocHwfOuHB8qunRwfJpkjc0NTU981G5+qMqjdMB7A7gLx0dHVfutNNOXdG2XY0xlwAoWGsn9ObujwyDF33fHwes6jtxNYC3U6nUDwAgk8mcgTDEcqjv+y2rGedSAPsaY3bo6YnJZrPrA7iB5HDP88atSWy+x/GjSB4d3XVPtdZe1dzcnFubMXqjhqrnxggbng0lubWkf1lrH2yp4wE3NdgNreBVHa6vFExxtwIWkGwHcG5FJ6SaJ554IjZ48ODm6DUmIkysfVHS04lE4sHqUFhl3xplsO8A2HzZsmV77LLLLqsNnVWptU4C8I6keyXdXVdXF6sulQUwHMCmCHM5ngWwuzHmiKampvZMJrOLMWYygJm+7x8dhTC+Kek2knuTvFvSfYVCYd1aBl97e/vQIAh+CWADa+2Za/t+VXmwUpKuKxaLN36QOJzD8VHgjAvHp4729vah5XL5MJJfI/kygBu6u7sf/CjvtvP5/JjqO+SeaojZbHZLSXcDEMkvrS5hMZvNjgLwU9/3vzZnzpy67u7umwA87/v+bwEgl8vtLekHnuedWy6XD0mn0yf2NlYU8nnDWntNOp0+u+f2aPzWqAz2V77v3/khzj0haW+Eeh+bAbjG87ybV5erUIue/Ugi4aupJMvW2oMRinFduWTJkruGDBlyPsmDrbUbvhH3Hv1zXamzCG2+VWA22a3M5VuVMJikATAHwNfXJEG0ra2tL8kdI6/GeJIeycestY8Wi8V/9Py85PP5L1hrLwHwKMIGdANIvgDgmSAInkqn069FiqX7SfoCgDdI3h6Lxe7qLYdnz9enbxSUEZ+8jANjsdivSF4h6UKSr0gaIClhjElZa/8K4C/GmK0lNVhr7zTGTPZ9/8vZbPZVAH/2ff/c3s41n89vb609j+QcST9d2xBXNptdX9IxDGXfn/A878KPUyvF4XDGheNTQaXUMfryK5C8keSda7vgrY5KkqYx5tuSjKTzamXYR7LOD5EsWWt/USuBs5pcLneUtXZIVClwhzHmzlQqdRWwyvC4uVQq7TVmzJjFuVyupb6+fsLw4cOX1xork8nsTvJQhAvz8loGRiaTme553iRJ5wEYGI/HT15TZdGeRIJVR0ZVE1lJ1/fmQm9ra1uP5O7RYr4zyYWSHgXwaCwWW26tPV7SviTvN8b8qamp6bUo3HQdyfkAdiyVSmcaY4Z4nvcLa+0IAEXP83Zuampqz+Vy0wCsizCZ8/zqsNCaMH369HVjsdj4yNjZEcDblflJetsYcy+AgyuGS2ScbEPyYJL7ANhU0mJJjxljrqurq5vWW+XIxPltEy10KUIjBQJfP6oLal5RGp5IJPYFsHs6nT4zk8lcQrILwCEk75S0H4B6SW+Q3ErSTxC2tj9jyZIl63+QdkUul9tf0i8B3N3R0XFBxcu2pkRetX0VdmYtSLro40z6dXx+ccaF4xMj6lmxX1TWOATArQBu/agTD6uSNE8pGZP1yuXf9parMW3atIZ+/fo9iLA9+rMV78PqyOVyF1tr7yd5NoDLfN+fAoQCWqVS6RFJR1Xc2dls9vuR0XBFrbGy2ezPJLX7vn9HLpe7jOSySmil6vXuNsac1tTU9FokynUOyT+mUqnr1+7K/BvV6DMSBMFtnudtFS3WOyPUe5gm6eklS5ZMXW+99UwU2z8BkahXtbhTNptNA7jOGPNra+0JxphbrbXDFGqPXFcqlW6Px+PPSVpgjHmd5I1BEPzMGFMvKQeg0NHRcdLaLqAVKp4VkhMA7E/yeWvtbdbaqbFYbITCzqnNAKZK+vuSJUumDh48eDNjzC5R7sZ2+Hc32KfL5fLUsWPHLtrtjYzPwLYw1MV4z2Xcpcgz0q2zLxk1alSLtfabxpjzUqnUHrlc7jiGwl9DFWp0vEvyeZKXIRQJO4bkYknTIw9QO8mX8vn8rJ5aIi0tLfFEInEsgG8CuHzWrFl//jA9SPL5/BhJ37TWbkvyOmvt1b2F/hyOtcUZF47/Kj2VFwHc53neTWsiILS2tLS0DKirqztmJXDsdQ22a2ZMWwsYJGAuhd9MHdZ8ZbXksiSTy+VuB7AUwDqpVOora3JHl81mX5BkAPyqIv3d0tISr6+vf0DS733fv6+yb+QVua+i2FljrMcBfM33/bejHIw/AVjo+/4vqvY5V9JTFY9K1CflAkkbxuPxb44cOXLBh7lelbwJSfsZYw4luamkf0m62fO831S8SFGjtxMAfJnk/VHC4HtKN3O53GGSvm+MOTIIgvNIDkHY8OzyRYsW3VxlgNxlrT2T5CCSR0maQHI9AEuNMRdYa483xhyTTCZf+Q/O6U5jzN9JDrDWfk3SViSLJJ+VdJMx5tHeqkui9us7AtgRYaJo/3P62rmLjL5Sa//NLGdfv0XzyFwu92MAR5L8UjKZbI/ey4cBbDxz5kz/0EMPDXK53P3GmOObmpoWZjKZk0j+vL6+fttCoTCm0lUWgI+ws+77SmWjMuyzJe1K8sepVOqJWnOqZrf5rWM8ak+A9bB4/onNRz9U+T8BcBzJ5yT9wff9mR/mejscFZxx4fivUCW8VJHgvj2ZTD79cbxWdZKmJa89ozE4yEK7v39P/XjqsDGrdClyudxkhPLSaWvtpDW5i5szZ86WXV1dGUkHNDc3P1Y11hWScr7vX9zzmGw2ewuAyT0TO+fNm1ff2dn5lO/7266aYQ0DI5vNHglgvZ6dO6OcggsUtgvvteSzmlpS3dbaR+Px+OOjRo1aUkmoBbCPpJkk+0saTPLSWj08Irf7r621o4wxlwG4SFJfkt+qVT6by+V+Ya2dXmlvPmfOnLoVK1Yc5HnelQA8a+1FnuftA+CCVCp165qcU4WoS+3NADZBqLD5NwC3+b4/s0dy6AQA/Uk+aa19tF+/fk/X0oloa2vrK2nr7w3A+WVir1qvub648rbNm/tms9kfATjZ9/1NqubTFIvFnp81a9Y6kXFxMcnbksnk05ERtADA2el0+trqMXspld0IwMqoVHYhgB0AJBT2p8nWmtvu81snAzidobECABDxcF0dv/zwBs0rJFbOac8AACAASURBVJnqzqwkL04mk/e6kInjw+CMC8fHRpRv8FUA+wPIk7x90aJFD3xcPRHa2trGRkbFqiTNS7fbajvCvK/yIGJZx+Lyui+NG1fKZDInkvwCgM0AfHVNEgozmcxIkveQnJ1KpfavPP9BpY75fH5iEASH9UzszOVyEwB8OZVKnVr9fPSlfw3Jeb7v/yIy1L5Va/yo9PS3kjax1p7UU+cgSuzbrWeTMUmP1GrgVi3MBeBthGECoxqCWZFX5iaSS0huIgmSyjNnztyzN7d9Pp//iqSRqVTqVz2eT5TL5SzJviSXSOoP4JVisXhgpdrhEE3xFr82/CTBHAtoE4CzhwW6/rsrvX4IlVo3IbkoCIKvfJDeQyU5lOR+JHdXqOa5SFKZZB9J/QCsAPDKWY1BXRfx1VrjbBFg8ZldsX0l/YnkXJK/SyaTLwBAa2vr1p7n3U3yklQqdVkulzvdWru0YkxkMpkfkzwplUoN5RpoW7S0tAxIJBJbGWOSCvut7CCpiaEo2H0AnrLW5vv165c/jksnCryv1jgEfvnEsNE/rX4umuspAHaTdCuAK9Pp9LsfNCeHo4IzLhwfKbVaYgdB8NePK5arf/ea+DbCktFzm5ubn6tsnzC/9TgBf+7t+FNXmp8ML2NnY0w6WkieBzBXUqCwyykAgGS3woZhlb+HADjRWtvied471top0Xy2I/kVSSeTrNzVrwCwSoI8Ho8vC4LgMZIHeJ73bqUSIZfL/QJAJpVK/bXWeWaz2WsAzC0Wi7+rq6t72Pf9XXo7r6iM9sIgCK73PG8WyT0qeROSHgPwqO/7M2otYpU72GpJ8eoSxra2tk0YqoAeRvIFkjdYay3JmwEUJT0g6WmSpxUKhb1WV/oYLWK/9H3/fYt1lCszXdJKAGcB+BmAcQirLn53SmP5HEhH9zxu+xL/ekQX7yJ5vDHmCz3l3zOZzEAAW1R+jDFbSNoCoXQ4SM6V9JokzxgzFMBISQustY97nteQMcGXruyjJGp8f04s8PqDCvQZKqsWjDHHplKpY6PzOcBaux2AL8bj8S+WSqWxkrZPp9M/AYCWlpY+dXV1r0k6OZ1O397bNfsgstns8QB+hLDaZRGALX/Rp/T6IsMDezmkbeqw0e/riQOExmpXV9dhJI8n2RoEwcUfVfmy47ONMy4c/zEtLS0D6uvrD5R0iKR1Sd5SKpVu/jgbKlX1Vvg2yRnlcnlydb+P9vb2Da21e94dL+/8aB16K/3UeZ3ei32tmki+CeANSdcBeJtknaQ+Vfs2AogDgKThxpgjANwIYDzCJmPLFLYF3w/A36sXbYXy1Sb63UPogh8KoCxpCYAGAGCoB/EGwsRJIPz/9ABUPD1xkhsjNKIGkmxFaLggOn4FgJKkdSStD2AQyXVIBpKeB5AhWY7m0SWpu+rY5dbavsaYHQFsC2A2gIckveZ5XiEIglUGgqROkiVjjAmCYLzneacj1GGY4Xne6QxLUS/3PO/QWCz22up6dUR5Li9UNEJ60tLS0qe+vn6GtXZFQ0PDjsVicTtJN75Flc/rG2xR6xgPWD65MzYX5fKZxpghJJMkm6y1m5GsA7CY5Fxr7VwAcxEak7NWZwBHoaifkyxaa/lwnYqP1CFVgAgAMSDYu2CCvQu4kuRB8Xi8qVgsxowxT0g6wfO8ZeVy+VSSC6P34wuR4X2453mXWmv7Re/DEQCSJC8FUIfwM9cYTWNgdM36IkwmTSAUKKMkRp85D0AAIEZynej/ccH/9Sm/sszgCzXfA2DuP4aN3rK3c6+8TxWDU9L6ki5xnVkdq8MZF44PRbS47xVl3I8EcD+AG9YknPCfUEk+Uw8lzWnTpjX0799/N0l7IszrWEbykdkmePLiProf0RdzNesHfPUnXV5fANdK2l3SPSSbAGyF8At6OsmXqrP28/n8RGvteUEQfHn06NFvZbPZF+rr63e11vYrFosPBkFweM+mZrWYPXv2kEKhcG86nd4BWFWl8g/f97db3XFTpkzxRo0adY2kHYIg2M/zvMXW2mEMS0T3lDSMZAbAsySz1trlJJtJfk/SEwDuVrgS9Y8MHZDcCsABANaTNI1kW2VbRKMxJl7190AA/a21vjFmcwDdkp4DsH507foCeIXkW1E4oxLj96LXrhhecYRqlyMlvUzSi/6u0IHQsPIQVm5Ykm8DWO95z+KGBtu/t+v0g06T2ZReJgiCBQiNxX8ZYxYEQWCMMQ3W2noAqPxOskFREzSS9QCgsPHZZgjzGcokZ0fzp6QdVkDm9RgpqG7TMsr9wM7o2hQl5UmuBDAYoVZKDsC2knIkFwCYgLD0dztJl0TvQzdJI+kXkv5kjHnaWtsFAJ7ndQdB0FV5TCQS3cVisatfv35d1fkhktje3j5K0s4K1T3HAGh8qE6D703Uvl59aB6+f2h6796uZU+y2eyWJL8haZKk2+Px+NVrK+jm+OzjjAvHGqOoXDFSLfxIEzP3fH36RuXA29TEu195bJPt3/dFVUtJs7GxcUOECXn7A9iC5NPW2kd7qjVOmNe6tyWuZ6gnAAAYYPHP07vMwnVlXpT0dUnnNzQ0/KZyl12RfrbWboMwgW4EyYGSBhhj/oiwRXe7tfZeY8x4Sfdba89fG5nlbDZ7a7cJLty2qfnFtkxmojHmAN/3T/ug41pbWzf2PO9Zkl3W2hWVvIkgCB4eM2bM/FrHRMbXzyTt4HneNwqFwiLP8w4l+Q2S8wD8MZVKPfNBr11pkmWM2UpSf2vtjel0+vxp06Y11NfXD0wkEndJugdhJdB2AF4A8KCkf1YW8hoL+sEkZwB4V1IDyfpoYR+EUOlzY4TdTRMABKC7zbPxq/soXnuWwM9Xxp4aHGgZyS5J3dWPACCpW6EQWbekLmNMd2Uhj34fbIw5ylrbJxaLXVAul9sAIJFIdFtrtwqC4IHFixcPXnfddXeUdC7JaQpDNGWGTdbut9b+sa6urrVYLD6SSqW2yeVyTxUKhT3HjRu3MuoZ8yAA+r7fPOnVls0C440hTcd5K7zj+1htk0qlRn1QMmW1EinJnSWNAjBf0tOxWGy2tXY3a+34d2Lmrt/2Cc5aATVWH0+p9L3ueNdmZT1pjPnG2vTnyefzjUEQHE7yGwBmkpycSqXa1vR4x2cbZ1w4PpAqGeRViZnt7e33f5ja+p7s9kp2UxMLrkTYfhwCLIBry931pz8zcmRHdZImgKsBFKP8ge1IzrHWPkryAd/331jd6xz+Wmbg+JWascjjii3KGN4UwFD4BslTrLXHkPwiycMlXVqrWVQ2mz2S5HEAzpc0MnKzb0tyUwDLSU4n+cdyuTxjTfJLxr8+fVxjYK7sotIB2LVxgIWTCvzDsU3Nl/XcN/oS38EYMwnATpIK1tplxpgmY8xdnuddWiwW6++JlTd5sU/sjBUKxnpkcXCgGUcX4nduWLZB1d36TsaYgxW2K3/R87xcmC7x77v1qsW9HmHIpp7kAISeDZFcaq1dj+RbAJZFxxVIDo/CS69I6jbGFK21QwFsTdJKapX0EsmOSv6K53lla+2+JBOS3ia5saThCMW06kj+E8B0a+3TCoWnJpN8+0+N5oCZLL2i0EvyHoZYLP/5ytj1ffv2/f7adgedPXv2kFKp9L0oP+UntXp6ZLPZmSTvSKVSP8nn87sEQfAjkq8A+LrnedsHQXANwtyQqxB6DoYBeBjATqlUKln5bGWz2VOt4Zln9Q0eKUDHIfTQgNDiY7o8b5z1Dk8mkw/2/CwAGB0Ewc4MZdY3ADBDVT1UWltbh8ZisTMA7EDy0krp767zWzYcHsTvXWwwukDZ9QIu/Go345vDO8JaezHCcN01JH/dM0/lg8jn87tI+o61djNjzGW1Kokcny+cceGoSaRlcDCAQwG8Q/L27u7uOz7KvgSHaIq36LWtX0IoZPQeGsH7z13OfiTLJF+31o6MFqv7sJpkxN7I5/OjrbVnIlT//JqkIFokv1nRi6hqFjUJwM99378XAHK53CmS9u7o6PgqADQ2NtYDgOd537HW7uh5XknSi5J8SVszbD9eieu/hTCxLqi43TMxDb2mj/16IMSq51gnlL6/wnt+A7AgaYikIST7AfCiBbkDQIfC1t4egHVCD72WvxbjvD/Wl/coEe+5m+9r8c6PuuKX97d2pKRxDCsg/mGM2VTSKEkXAnijltu9VCoFnuftFwTBSYzyWowx40ke63neYdXy0ZGQ2Ju1GqpFCZQ7Ajic5ESSSwEslxRDGDIoWms3ZFjl0CDpTgC3p9Ppl3qOFS3+L0rqejau/rfV2/UD/Ps6Enj7lC6vfUQZzQifP3/x4sW//aDcgKha5NsMk3F/4/v+HbW8Bm1tbV8geavv+wNJKpLlPgPABJLnABjZ3d19diKRWBR9bsfFYrGxki4CMEjSYgALJD1tjHn8/oQeuz8R9Ov5OgbQ2Z1m9ib0JkjaFsDOknZAmIfxgqpEvSrHRDcBZwPYjOTkWmWk2Wz2TgAyxjxkrT0RwJYkc8uXL9+rf//+P4zCnEWSZ6VSqYdWd81qESV0n4hIA6VcLl88evTot6r32ePN5wcHQd0+EDcg7MwhQ+c8eDv/8xsVx6cLZ1w4VhGJMR0g6YjIZf3XRCJx04eVlv4gdp8/fcfVlIkG53Z6z/UHnyf5SGdn54sNDQ02kUg0FIvFes/zGoIgWPUI/Dt+3tPtHo033hgDa23aGNOI8K48JulvCGP/q+7SEbrfN4weuxEuUm8hrPjoxr8TLsdGd+QPklxZ5X43JPtGxsFgSesidPG/TXLu5IZg1DxPqVonvWPZvHJ4F7tIPmetfQTAo7VKAPP5fKO19r6ZM2dOHDVq1LWT+wT+fO/9RhoA7FTkY4d1876oLf0qsahcLtessFPnPbNmzfpdxRNV6RAL4BgAf4vFYhfHYrHO7u7uSwEkeqpm5nK5s4IgSJH8I95bgZFEqMewgGTeWjs3CsEMJnmgpBRCrYZ3AQwyxuy7JmJq2Wz2VJK/lVR+Ma4j2mM6KWGx20YWiW1LyDea2NcBjIo0PxoBlD3P+35TU9MtPRfbKKxwHMlTJd3oed7vV3fXnsvlFpA8J5lMXg6E5c8ALjXGDE2lUhvncrkXY7HY3uVy+XpJKZLzFi9ePGnIkCEtJF9MpVLfyGazoyTtQXKPnzTa8UupdWq91t5FrtyvYNqjXKCnCoXCC7WM+6o+OUNJ/q6WnggQJscmEomnAbxhrT25XC7/q66u7kYA+wB4cubMmQcmk8ndgyC4iGGVSYfnead+mB4kc+bMqevq6jogMtjeRhR2Gz9vxkEi/8zw/6HCDMR4wNRNXHv4zxLOuPicEzXK2hNhE6utSN5jrb2ulubBR834ea1fBdGrMNJJXebKVJnbSFoWLeIrjTEFhEl/lZ4j7wKAtbZS7lkEsMIYI2vt0mifTgA/AJAFsA/JVwGMJzkTYd7EyZ2dnd3VC6Yk5vP5v0jaheQMST+oTlaNPCHPrFy5crPtt39/jkhPpkyZ4o0ZMybd3d098cd9g+8tM9ig1n714KMPDmve84PGA4BsNtvq+/7oKVOmeLdsO2LJu9SAWvslgL/+brl5sdY2hXoOO5McLuk+kqMQylE/hzCvpESyP8njgiB4Ibp2mwBYn6GS5jCGypezGSYqLpS0kORCAK8rLMcMrLXLJW1sjNlNoQqnkfQMyQDARJKbKSwnnibpPQZALBYLyuXy8mi+pxljxiEMn+0C4F/R52K2pD2ttWcaY74l6ZIgCJ6JxWI3Inz/RyNsZ//DSplnJpOZBOBXxpipdXV15/bW76Xqeh8v6Zx0Or1x5blcLjdB0h0A5htjdrTWHg9gHYTy3htJOo7kNAArJK3n+/4Xq8fcY35rR/DvapD3sG1g/nnUSr5ZLapWTRSS+T5JGmN+nUwmn1/d/HO53MGSxgCY0NjYuMfmm2/eHbVnf9EY0x9AyVr7f8Vi8eFEIvEnhuXWgwDcW19ff97qqn5WRz6f38Vae+pSYpOfNAZp1Dhfgff/Y1jzF2sc7vgfxRkXn0N6Scy8NplMzvhvzmP8a627QHiq5hwBG4sV1quV3PlhyGazrwB4O3IHHx95NM4n+atEIjG02jsTVWRcQXJxMpn8YSZMtvwVyYyknxpjGATBwyRX+L6/48yZMwcXi8UNY7HYJkEQbABgU5IbSNqE5AYIPSQgGSc5+Hd9bL/5xr7PFQ4Ao8tcenyX6WJYsfGgMebRpqammbVCQNls9kEAR/u+//b4eTNmgKypVZAAbvrdcvO31VyeUQAOBjACwHwAjyAMuayLMF9gc4Xlp+8gbD2+BMC/IgNhAslbIyPhfZAcYq1Nk9xcoV7FXIZNzFZ5B6y1/UjuRa6qtlggaS7D0lpYa/sZY+KSRiAsu1xqjBksaQGAMZHHaCWABMkiQqNmaBQyegNhO/R4NMe+AKwkC2Alwjbp8ej33ugTbR9Ncp6kZVXbhkePK40x86y13QhLedtIjpQ0H0ASobcrQfJBhIaRJ2nT8/ra5ALznpLnVexZNLMOLJqNrLWPGWOqK5C2ArA9QmPpGYUKnatr8FcC0GmMOS4IgseMMUdIWtWBleQYSVsD2BrAPJL9AdwUXcN9EJYwJyVdK+mF3sbv7cVJliR1XtBov/iWwUW97BYk6jng4Q1cb5PPCrEP3sXxWaGSmJnNZg8gmZN0ve/7p9eKLf9X2Ozd5/TawHYCTT03xYT7PirDIpPJ7CNpcF1d3X6lUulvkh4yxgyUtD+AacVi8UqEio4V4aYbAczt27fvz2fPnr1hlCPwe2vtPiQz1tpGY8xCSetls9nWcrnc6XneAmvtQgALjDGvlcvlF4wxG5HcV9LOJAeQnGetvWEJguUAf11rrqPKnKOwaRckfSMIgl/kcrkgk8ksJ5kl+TjJlj59+rR0dHS0x2KxdDabTd9SCoZM69lGK2LfAjckuY+19pI+ffrku7q6NkZYXbMXgC8B6KewcuJlACB5sKRrovyAAYlEYmLPfiWRbPhfSe5UnUw7ZcoUL5lM7hjAHrqA3Psdlt/cEPzzejA3pVKpXhegbDb7G0mPNjY2PtnR0bE/yRMU6nVchbCr6fUA/mytvcUYcxPJXSXdjtDrcUt4ufRzAGf7vj8WCLvVAjjVWjs+FottYa29AEAnya0R9o95FcDpvu9nev3w/Ht+5wLok0qlVn1WM5nMPsaYbypMjs1Ya1+TdBfJH0Vjn2itPcgYczyAH5Bss9a+ERmeOwKIjQ3M8wtMMKHn69UJpe1L5n4A+5HcQqHi5/aSvqaw0duPo3wesKqsuBYk+1trE5I2Ivl6je3zJO0N4DmSvqRHAJyE0KB6GMC+DBNrDyd5LMlHqw0sVem41ELSAAAN61u881ave8ErdsUqKqiOzwDOc/EZJ5vNbopw4TwMwGJJ13ue97e1zQb/uJj0WmaLhA3uXEmuyhcYHpjXj+9CbP2+/bZc22z/nkT9JVoA3EZybOTC3tFa+1gsFvtdqVT6rud5V0u6LLpj2w/hF9w7CMse/0lygaSFkhYaYw6N7sC3k/TAkiVLTpgwYUJZoRjUDgCOJTnJWrs+Q2Gtx4IguHr06NH/qBhx03OZH1/RoKNme6rc9YICEsb84deLimfV19d/TdJpAJ4OguA38Xh8HWvtHiQPQqgJUZIUIBTJqjfGFFfKrvxDn6DfWwbvuQverIwZ3+2OtRipmeSWkuolve15Xl0QBG+QvErS1OrGY+3t7WODIHiA5AKSu/Zsez9z5szB5XL5IZLHp1Kptnnz5tV3dHTswrAkeGJbzL51Yz2auqlNo0O6IV0wddjoc9BLEm6tfimReueJkr4F4DlJ/2eMucQYc7K1drIx5mfJZPLxXC53lKRLSM6y1m4Wi8V2reRuRBL0NzJM3u2HUFzqHknzSf6UoYpqxlp7ds/maxWmTJmSGDVq1Due5+3W1NQ0HVilpvkMyRMl/QjAnxWpbba1ta1njLnX87zHJU0D8IK19hWEibkBQu/QM0EQ/LK5ufnNi2ZnXn+wThusRKW0ls8eVOBfJhbwG4YS4hsqVIt9KB6PX/BhGtNlMpl9AOzp+/73crnccz31VDKZzG4ATgUw1xizJJVK/aYSNiL5JMOE5HHW2stJfp/kg42NjefX+v/M5/MJAGMiNdLtFUqSF2bEVLimwdbo8QMAWDR1aPMGvX0+HP97OOPiM0jULXF/RYmZ1tobE4nELdXaD58m2rLZW+cZW1xB7riJZf91AvtzY8yXAGxaKBTSa1PSFrVx3xDAFpKGGWN+hLDEjworRJYhTDp8SdJ2nuc9ZK3dUlIcQJcx5oZkMnlRrTBEJpP5qTFmQCqV+m4ul/tbuVz+p+d5+yJ08a9LUtbaNpI3x+Pxm2pd70wmczbD8MXdrxh77pwYPAHLxgYcvl5J321ubv4TsEoR8WCGbdyfqSwqc+bMqevu7v4ugNMADEDofRQAWsC+FLN81QMSEkZa0z2qhJsBXFkulxfG4/FDSH4zCmv0J3m/wtLbVZ6HfD6/lbX2ZgCXK6zmOM4Yc2oqlXoRWNVc7UGSk6N5rmpbboy5/ez+pXmdAWYCqBX2+d7UYaMn13geuVyu2Vp7RjqdPqbnXKy1PwjTCsxVAAJJKwBc7vv+nwAgm83uR3IfSV8EsIGkn6fT6fOjEt5TABwCYCnJBStWrPh23759zyS5izHmW0EQHEHyK9ZaGGOeIfmznloP2Wz2OpJbpFKpXaue+62kObFY7O9BEFxVLpe/HYvFfu/7/pei87mWYZLvXpLekbQxyT4I8w1+5vv+uVVjvWiBDefHePf6gT1pcF1D48qVK2PGmO8hlPH2JL2QTqd3qnXt1oRMJnOlpBvq6+tnFovFm3zff59oVi6Xu9taeyHJXwL4oe/706oTXkk+GgTBeGPMZITiYEdJOj+RSDxTLpe3QVjRsiPC0FM7w1ylmKS9jTHFgLz8rD6lnxaIbd43QemMqZuP+cOHPT/Hpw9nXHxGqE7MlDRc0q1RdcAai+J8EkSehXtIPmutHQNgIYCU7/ujc7ncSwCCmTNnbr/tttvGC4XCoGKxuCFCl/5G0R3dRggrOwYiXGg7I0/DPyVNBDCVYXlhm+d5+zc1NZUrd265XG46gLmxWOz/SqVSHsB3fd//Y615ZrPZL5M82Vp7G8lDEZYeroxi+sui1z6rli5ChVwud46kjVKp1Im5XO4pSRt5npe31v5Z0hXGmKWpVGrryv6RkbgVgIMlHY6wkqV/lEuwkuQrktIAFjJsH75nFNrYlOQya+26JAdJWoqwhPFFAFcbY/4B4J0gCA4keTLJRdbaKxHmJZxP8oSKMZHNZrcEcDnJl2Kx2EWlUukOhAtkieQjJO+tFlEbP2/G6SB/38slmD112OiRtTbk8/mEtfapSiv6tra2HYwxl5M8OpVKtUX9MnZCWEq8haRBJOdba6/0PG+gtXYrAPdJeo5kWdIPARwP4PIlS5ZcM2HChHLk4TjVWnusMWYIgD9I+pG19hXP8y5EGB4aZIy5r7u7+7xx48Yty2QyA0m+ZYwZmUwmX4/eF5/kZalUaveXX355ULFYvCmVSn0hl8u1APg6yaOttV9CmGPhIfxMD4nH418tlUpTAKxjjJmYTCZbo/GmK5RrP9gY87C1tsUYsz6A2z3Pu8Ja+1SkF3J2Op2+sLfPV29EXrXpM2fO3GbEiBFbeZ7301QqdUTP/dra2kYYY642/8/ed4dJVV7/f865U3aXBUSwF2wosHNnAbGXYIndRGOL3Rh7osYWTWyJJXaNLYm9R0VjiSWxxY6KCOzcmQWCAlaUImXrzNx7Pr8/3nd0XZeY7/P9mvJ7OM+zjzhzZ257577nPedTVA82s8dVdYcau6gHVfdAABCRCsl5cNgPish4AM+Y2Wu+Kna4iBwkPSzcZ8yYMWRJpTz56Tqu/lZAdip0BaJ9CXjSS+uOvut/el7L4z87licX/8VR62+TPJTkliLyVJIkdzQ3N8/4dx/bPxtRFJ2tqkvMbA8AA+jkkfcSkVfohJx2gKsMzIBvUZjZLFWda2afBEEwt6ur66OxY8cu6fW919JpTbwF4EEzW7MmbhVF0TthGG5cKBTOFZFj4BgOi1V1hVwu90W52FdBthORk+mAixU4nYnXRGSNXC63da3CMWXKlHVSqdQFAFYVkTN6KhWSlCiKrlLVfk1NTcd7o7VdSR5BcoaI/BrARUEQrGdmr8Ot/PoBmKeqH5jZSgCaxWldrAOnevkOHFZlGxE50cw2CYLgpaampoeLxeLP4No2G8KJOHUBGC8i8+AqOCPhGB8LALTCgTT3gdNHuLBcLv++RnmMomgtkruJyPF+f61mdkDvMTZ9+vT+lUplw7P629GdgmOXcbu7buxIHxbH8aJ0Ov1BfX39hz3L6lEUTSqXy1tks9k94Ng9+4Zh+GFLS0tOVW8DcKeIbNfU1HSAiLBQKGysqscA2InkjCAIjk2S5Go4HMnHZrZxc3PzvF7jYgSAu0Tk5kql8ng6nb4DwHuqegbJnemAjnMArEPyXlX9rpktzefzP/D3UovF4osiclIul2vxzqRPwLVeroCriP3ezOaq6iOeKXM/gI/y+fzVfv+TSc5KkmT30aNHz4mi6BMAHSLyBMmfAPjcT+ytAPDmm28O6Nev3xxx1Orby+Xyz/4n1bxCofAdETkwDMPjisXiViT3X5YSbBRFfwDwDAAxs4NTqdR5JDcmuTGc4mo9XCVwIIDYq5h2A7hGRD712I/VSN7R0+xu9uzZdZ2dnS8mSTJcnErq/Jvr6jY9prv77VwuN6qvSuHy+O+O5cnFf2GUSqUmn1DsKSKvicg9I0eOfF3+XcDMZUTPFoWqru6Fkr6oONCpQY6AA5INBzAvSZI7gyD4Gck30+n0qSJSqVQqRZIv5/P5Pm2ue0ehUDhFVcem0+mTy+Xy2yLycBiGZ9Tej6LonVwuUkivbQAAIABJREFUNzaKou+Lc/I8v1wu35zNZj8IguDUOI439PiBNQAkIpIys4vq6+v/MGzYsKWlUul7JMfmcrnzeu+7WCxuAuASuMrAmQ0NDZ90dXXd5CsIT6nquiSPBLCQ5DBxDIm7SPb3+3zL6w3Ue1rjkSLylpmNEZEnU6nU9XEcPwYnflQmKUEQ/CBJkutyudw2ra2tW5G8iuRgETmlo6NjQkNDw3skHxPH0tgCwBARmSQiJRGpxnF8oqqKmbX79wYCmAcnprSY5J8AZEh+B8AgVW0j+YqIDPUJzCAAbSLywZ3ZJDspzX2WcWtmXLdUrxHnZbK2/8uQrMIJjeVIfqTObOykVCo1LY7jbjN70cxuUNWj+3JZjaLoJDojsM3gmAs12OAMM9ult2KqH5fXisOrnOCv8/4ADlPVD83seBE53Cd++5M8ZcGCBb/z1Y+fkFwjl8ud4xlXPwKwP8mLRCTnW017AagXkWdI7kvHTLkqn88/7cfIzXQAys9V9cokSa4XkUBETjOzswD8SVXDXC63W48xfaGIHA73zJ6TJMkPe4tTLSuiKPotgKfDMHy2UCh8H0BzPp+/oPd2pVJpVQA7mtnlACbDjZU5AO5W1XcaGhom1ZLBUqk0kuR1JJvNrKCqA8XhMlYUkQtzudzdte+lo3Xf68fwiiTvFJENwzDcO4qie1T16n81U215fPuxPLn4L4nW1tahcRz/UEQO9KXve7q7u//675DY9QC+1YMgWD1Jkq8kDPiyRZGGm3A+gXOdnEvykyAI5iZJ8snChQs/GDx48O4AxuXz+VOiKJqqqk83NTX9slgsvgZghe7u7k3Hjh3b6VfPUwDck8/nT/lHx+b77z/r7u7+Xl1d3Z/NrBwEwSU9S/fFYvH5IAjOTZLkRpKrkvxYHLBvDFx7YyrJ8Wb2WBAEt6GXDHShULhQVSfWxIq8YFCNgdEkIiNJjoWjdgqciNSffMVlEICNSc4XkS1JPheG4c+nTJmyQhAEb8D1sm8QkR8AeFScU2r/IAhOrFQqcRAED4rIzSTzqrqKl4Hub2YPqWqTiHxmZgUR6Q7D8Ep/vD9X1R+a2fh8Pn/ppEmTGurr68fEcfx9ETkKTpOh6I91bXFCYPVwGhZZOjZEShwV9T04zYYRInJtEAT3xXHcJM5fYq1PxIpXNvLwqhMg+0qMifXRqzdwFYCeUSqVMqlUaqVKpfIIgP5mdm8QBEP9eNoMzrysURyNc5b1cDMVkUYRuZNkDOBAuP2+7sefkXwvCIJte4NS/Tg4jORJJH/kz/NmVb08l8s94JUmIzjztPEAxpG8RUR+RvIBEfmBiEwkeT/JS4Mg+DHJe80sDeDwmrpooVCYLCJrm9kmNe0Y32op+fbNKgDeBTA7DMM9oiiaDsfQqCf5bE2Tw4NEXyS5UFVXIUlV/VlvefDeQVKKxeJUVd2kqampEkXRkSJS393dfXMmk8mLyNZw3jnD4HxRXjcn4T01m81e293d/ZKqntB78i+VSqNJHpckyY6quqKIdFar1d0zmcwHZnY+gJH++EqFQuEyVQ1JDgVQR/JCVV0zl8tdFEXRISTXzOfzl/6j81ge/32xnIr6HxzTpk0bXK1W9xGRg5MkKavqvSKydV8Pyv+LKJVKmSAIhlQqldX6qjTACepk29vbISJz6XQGZonIXDMrBUEwN5PJfPhNYkS1KBQKx5H8GeDoakmSLPD/fl5EmjKZzN4A7gvD8MMoirYH8FIURYvDMPx1X98XRdFYAOdVq9WdstnsJXTKmQc2NDRMqm0zefLklUgOSZLkGbhVbn84H4v7gyA4P0mSB+M4Pn/UqFFPR1F0n4jcncvlXvIS1uv5v/1JrhNF0UkABnV3d1NVZ8NPfCQf8g/Qi8VJga9pZova29vv6d+//9NJkhwbBMFjcHoOLwFAfX19Uq1W0yQHwbUyHgKwF8mz/YpzC1W9UVWPN7NtAazS0NBwdHt7+3gAO6nqznAT7hVwJf0vLLT79+9/XVtb2yEiMrZQKJyVz+cvLRQKawdBsG+SJFPE6TFsJo5OmIYre88D8EKSJAtU9QfigLAlEVlI57zaTvKcJEl+JSIvi8h1JLdYA8G+P+6y6J46W7tDsBIACFAW45WHdWv6iELhjySP7llNyGQy0t3dfSXJT0Xk+ebm5t/4+3mciHxOp+R5opmVVXV1AKup6t4kdyG5IskKnI7DJT6J/QguSXsUwBFm9olvv93R87eTy+XuLhQKE0XkLpK31dfXj+vu7r4piqLdurq6bk+lUhkR+ZGZXQFgsar+1gM/V0mSZOvm5uYOv4LfwMyuInmriKwbhuEXsuWq+jsAN3Z3dy8FviJDryQ/hcOvrA7gMwAQZ0bXFATBfmb24pQpU54bPXr04ubm5nlRFL0C56x6GoALzeyiYrE4rrW19exl+fy0trZuAmBqEARDCoXCVgCOBDAom80eCaBE50lyWU8tlZaWln50LJc/qOqhZvbg9OnTxwVBUPGqm0eZmYrIdfl8/jgAUiwWz0ulUhPM7M+qelgcxzkAvysUClURScxsqKrG/v3hZvYyAFSr1WdSqdQDAJYnF/+fxfLKxb8odnxv0sA4lQoF2lVXqS/+ZRlqd75ku4eIHAZgCIAHADwQhuFn/5v9FwqFQbVKwzISh5rs9Wci8kWloYZtyGQyczfaaKO5/1etFw8U/F0NtV4sFt83s4vz+fzNhUJhCwAnqurKuVxuxx7nsKOIPCgi553YUHmNqmcQGAHIp2tTnzm9HT9KB8FeSZJsA2CvVCp1bLVafRTABeJAnTuJyBBx0txTReSKJEkGqepBqnpxkiRviWNB7E4yEqdQOB/u4d8FoJVkK5wGwL719fUz+0qkvAjXnQDeDcPw114F8QhVPQ3Aovnz5289ZMiQRQBmpFKpfeM4PgLA9+GSg/XhLOzPXLBgwY2+FH8gyZNU9YAkSbYWBxh8ydNiV1bVCblcbr9SqTSK5C9JbmhmE1Op1E+TJFkTLiE6UkRGishaZtboy/AfmtnLJJ8Rkb+3t7e31lRKvY7FviJypogs8InkIrhVbiIO//EoydVEZB8/fqpw8ui3U+Ww98U+qAjWbozt/J3DUbf77z1YRE4FcEgYhtP8Kv5PcNWBp/yY2DOKojzJ28S5lv665jbrQa5n0tl9X5bP5x+KouhX4uzlp8BVjw6HK+lPJ7m6qo4kKf74PgPwOsnX4aowsxYuXDhvyJAhFwMYZGbHB0GwD8mbST4iIvNFZBycrfxwEfkVHB14lDiMwUARWT2Xy23owcn3hGG4S20stLS09FPVRSJyiZmNEhExs9+kUikmSXKFiKzjr12Qy+WGFIvFtwEEYRiO9mZ5m+ZyuRNr90RVHyA5y7dzHvQtpWwqlTpk5MiRcwGHf0mSpNlXtY7yVaciHE5nOMm7ay2aZUWhUDgGwFr5fP5cn0QfB1fZeFpEflcDt/aMWbNmrdLR0fFnAMNInqqq7wO4ieRq/rovAbC/iNyUJMlBNTxMoVB4MwiCHb+tRdPy+PfE8srFvyC+M7vlF1XhOUI0EIaudMdH33m/5YSXhzY/AbjJaPjw4dv5hGIEgKeCIDj1n/FZqOEavqFFkYEzivpEVWfRKfrNUtXXay2KbzJ2+hbiOAA3Ae786RSfOwBg+vTpE0eMGNFEcm5ra+uw2nXI5/PPt7S0nFLIyPXQoBGguuyY+FCS3X7dgMcuKgeDAfyc5FNxHL8jIquIyP0kZ6rqcyQ3M7N3VLUTwKggCEaSHG1m94qz/f4AwEAR2UBE9kuSpLXnKrtQKKwnIpv2XJ32DM96uB/A5DAMLwYAryly86OlwlFzUli65iorvrtCTE2JrBzH8aN0AkkHAbgRjkrZAeC1cePGJVEU/QrAyHK5vEM2m/2Bql7mS+OdAM5U1aNIrlIoFHZMkmQ9f3838Ij/H4pIi4h8liTJmn7FuFBE2s3splqFoK+or69f0NXV9QMz2z2bzX5QrVZ/QvIgcQyZOrixdai/ZvPogHz90un0wUmSfB9GrgNZSURWIOTsKIrWFpF3ROQFkkWSf4yi6Ga4lfSvayZxhUJhDe+bcrs6obKn8vn887UEDcBxZvaH6dOnb1ZbrYtzcV3qdSpmRVE0j+Q1IvJuPp/fo1Ao7CUivwGwyMzuUNUDROQcuORi6ZAhQ1aCY+E0qOrHdCyINIA9ReQvDQ0NO3V0dPw1m81uXi6XzwCwG5w9fDeAim/JYMyYMfOjKFql53UkuT+ABMAJQRCMa2pqKtXei6JopKpeZ2Y/AcBCoXCxiCwRkWDGjBlDNtpoo3uiKDq0paVl8+bm5jfz+fysQqHwvoisF8fx6p9//vmuQ4YMuR7AiCRJJkZRVACwUhzH3SSnqOo7ZlapVCrNPQC6twZB8I06GZVK5Y5MJlOMomg0XGXvc1W9ramp6Y5lfWa99db7DMBm06ZNOzqO42vMLCsiD8DJoTeTXEtVG0kO6Qm0VdWXzGwcgCe/6biWx39PLK9cfMsxbk7LUQBv6eOt6m7dPHjXamocHOL/uSRJ7mtubp4M/FMtikH+r6uvSkMQBHODIPjgP1Hbwms1TCyXy2PHjh1bLZVKqyZJ8rKInBWG4aMAUCwWx5vZmyIyJAzDX/b8/G6zpy7slK8YH30Rv+jQeA1qJ52CoPmkYjHcw211ODqmklwE4L4gCFrN7C4RqZs/f/6owYMHN4vI4yS1UqkM7Y1piaLoAADrhWF4Se99+8TiQQAv9aS07vRuy8op5ZOdii88IlY1waHdunTNqh2gqpsD+K6Znaaq19IJZM1XVQKYHgTBQ3EcX0Kn9HkbnEvtSAC7kPxEnIfFHSRLcG2qYSKyG4A0yU3hpKkfTpLkeyIys1wu75HNZh8A8HIYhl+TY540aVI6m80+CWCCiDSZ2doAbid5Xy3RqmlQiMh65uS7EzgvkuEkPwfwHsmrVPWHAEaLyJV0jIONAawpThI6r6pTzOzYXC4XiQijKHqJ5HwAGVVtbWpqOrum90Hyofb29ut6esD4e3Ktqj5Uw9XUcAYAGIbhKD+e9iF5gYgsTKVSu7e3t2smkzlARA72q/8JIpKDqxptBGAKgL8C+D7J9fykX2sZlcxZzn8K4AmSv1LVv5hzJL2lvr7+h+VyeXOSZ5GsiPNjOSiXy9WuEzzLZKo4I7fHSP5anAfJ6nCiXrc2Nze/2traOixJknsXLFiw1XbbbRe3trbuRvJSMyNc62pVceyLFUguFZG/NDU1nS8i1tLSkhOR8/P5/H61a1UsFh9LkuSnzc19m4S1tLSsLE6F80BfmekIw3AfX4F5meQh+Xx+el+frYX/PT8PIKWqQ82sSxyA+F4AJ5jZyul0epMRI0Ys9Me0HYAf1Co0y+P/j1ieXHzL8Z05U18Xx8//WgwzefLEdpnp0fe1SsOqcHTBqojMFZGP6IygPvbJwycAFiZJ8o0mQnEcp1KpVJ8eFr0jCIKBSZIsW5z3y+2+cCH9hu1SSfJ1K2kAUNXvmNnKcLgCqGrOzH4sIg/7tgNEZCs4OubmZnaxiCQiUj8b1n51f966rP3uXJbX9qjoPDjq6v4kTxQnWrW9qu7d1NTUHkXRHgDGhmH4K+AL6emRInI3gF+S/KGIvATgkt66F1EUXUnyr7UyfS0mTJhQ379//0dJPpnP52/o+d64OVOfBPA1U6YGouOijlSSAT4luV9dXd2M7u7uy+DAdbsAKMKNiX50rJBHkyQpwCUQ6wBYIwzDn0VR9FKlUjkqm81uSSdqNRyunfPjMAynlUqlk0iea2afikigqvt2dXXN7CvB8ODZR0VkVRF5ysxuyOfzUc/jbmlpGaNO0Oq3IjLYzHYOguC5JEmOVdXAzIaKiAC4X1UXktwzl8t9gQHx7a1r4Co1+wDIA3gfQBnOx6QqIjO9guoFqtpSqVTO6Wkv3jMKhcLNAG7K5/PvbPd+YWMz23anqhw5IpZF61d5QnNzc9Gf26EkTxeRxel0eo9qtbqmbzHtLSJt4uztP6ZjwPwJwCARuQ/OZ6Oe5KXZbPb2crm8KlyraXcAu6lqP5Jz6LAoKXjqNMnxIrKhqk5LkuR4Ebk2DMPr/TEf67//7HK5vGE2m/0tnGfISnB01r+SvDeVSo02s3PEsSzScPTh9QFUVPWwpqamif77dgNwIVySNBzAISSPBfBuPp//Y4/7+1pbW9t3eydoNVovHRD5bl+laI+i6BmSp+fz+cjre9za1tY2rvfnazFhwoT6AQMGPBPH8UVBEJwH104cBUdhvQ3Op2RbOn2WO3O53PWtra0pM3sjDMOvi2stj//aWN4W+ZZDHJ2xz2hz5fdjSMbi2AoCZ0aU+BXOAJIbwKkSJgBo5ujgIrIUrty6zEin0wDQ7Vc2/zDMzFR1yTdtR2fAtVSWYVTVa7tukl/bN8k9ROQ+kusBgIisIQ45X+6xTStc2X2aiIyGa5mMGAJZywlS9h3tgvdI9lNVBZCY2c6qul42m92j5uqoqvN8clM792eCINiQ5LUkf5jP56dHUXQJgLMmTZp0Sy/q41gAX/EF8VLQj5J8IJ/Pf6VsfMN70zZ8GOXd0Ed0Cvo9G8TX7B4H25B8vbu7u0OdrkWzvwZBEAQHmpO6PrypqanF7y+dzWYnkjwqiqKTRWRYJpN5mOQdZnY8gHVVdd8FCxbMLBaLl5Icns1m169Wq4PM7Eoze7Wuru6U+fPnHzxkyJA/FotFhWsRHGpmWwKY1tbWtk3vCcRXBE4CsH8QBD+M43hPkltUKpXv+QrP1VEU3SsehCkiO5N81czWLhQKRRGZbG4AN1Wr1e19svAH7yx6pW9fXQAHcgyr1er9ftWPdDp9UKlUeieTybzd251TROrYkKqMmzP1VtKOFIE8lyGeSxuGZeVWkFtCxMIwvKelpaW/iJxVqVQ+VNXJZvb7SqVy7tixY6uffPJJw8KFCxeQbBGRrUhmARzsx8X1QRDcValUgjAMLxCRdwA8NGnSpIa6urr34Noq8wEsBbAKgHf9eN6M5FriwLJXeBzFHDpdmnvMLKmrq/shybfhANODAeygqlub2bEk31bV8eYs1XcLw/DDQqGwm4gcZ2bHwWmeIJ/PPx1F0Ud05mL3iMhTItIQx3HvhU1d7b56BdODROTHIvK+md2cz+e/olGiqmeZ2W8A7JnP56NisXh3Y2PjFQB+2ns802mA3Avg1lQqtTWdR8neAJ4XkU3NrE5EfpMkyROpVGoHMzupWCy+qqqnAvikUCistywJ9uXx3xfLKxffcoybM/VVOGvor8XoWCcc2SVjSH4uIjPEyeV+QLJeVVcAMIjO9GcFONGadI+Pl8WpMC4WkcW1f8PRCpeIyOIkSZaIyOIgCBYvWbJkybJWG//KKJVKo5IkObtXqfZwksep6vFNTU1TPQZlFIDHxRktDReRm83s+f79+792DBZPrjp9jN4R/6JdXlmdepM4F86f+ARnLtz1mw8nAvWpqu5sZrs3Nzd3+DbNXBFpb21tXXf//fdPJk2alM5kMrMB3J7P588Dvnh4TgzDcGxth75c/JiI3NOT218qldY2s9M+Fo67tNHyy7oe21XlwX3KQR3JjwHsCkf/rJJ8muSmIvKpqp7R1NT0N/+9TXEc/0ZVc3AA0CfhJuNPwzC8zR/T5qp6NIA1Sf4tDMPLpQcQN4qiZ+BK6s3qdB22BjBRRJ4iuf20adP27s0+8GDF2+GwOmeY2Ykisll3d/fBtdZRrd0VBMH5JLcj2UXyaACD4jgeEwTBkSLyHTjq5XARKZnZ80EQvB7HsajqRLiq3edBEOzR1NQ0ZebMmQMqlUrezGotlWEks+IBih5XcOrF/eJJn2rfZnCByBHXtafeo9OG2RjOHn1dM2tPp9N71FqHhULhehHZFo5l8n245H0dn+w/UC6XT89ms2eLyKggCH68JJWqPs+u67qFBy9UKY2M2b5tRSnkBwBeFpGf+t/vKAAQkfd8wtVPRC4zs2kisrMfm4DT51A4Qa0G3+qaDEflXklV9wnDcF9/D98AwCAIDu+JzWptbV0tSZKHkiR5MQiCEwBcn8vlLhDPBImi6B0zOygIgh+R3A3AI9Vq9cZlVYX8Z+4neVutWhdF0f0i8ngul3ug53bFYvEqkm2eEXKNb4XMMLMTlixZss3AgQMvAnAQgDsAbE/yMpKFIAiuITnEzMY3NzdfuazjWB7/XbE8ufiWY9z7Uw8BcU/v14WsHtqlJ+c7q3c1NDTsFMfxXrV2gap2mdlMOL77n8MwnCJ9KNhNmDChfsUVVxyUJMkguETkK//t9VcHV5qstTQycKusRb3/RGQRHPitKwiCbgCLgiBYVCgUPlsW5e2fjSiKblHV+2uTJeD8NuBEjB7zfPj1RWSSma0RBMGdZnYygIMWLFgwd8iQIRfMDLDXTQ3JhmXX/3bXE8CghJdf2J25xcxOgmNHvCsim9ZM2qZPn756pVIZ6dskp8G1HVYW5yq5AoCZInJXKpW6e/jw4W2FQuFoEbkglUrlRowYsdC7yv4iDMNDANc3z2azT5L8Qz6fvw9weiRJkpwKYHOSV36YkdlX1yVvJV8KO30lDuzCDVslqb1IrkayLCKvAQjhKLL9RGQ6HdVyZTpmQiwiGTqa7UckF5IcDCdUdp2ZLRCRrUXkXJIHhmH4XM/9zZw5M9vZ2Xm8qp4LIBKReXRW5g0kA5Jhb9EpX1m4BsDZYRg+FUXRGQDGLliw4OCeQGBvPra+iNSZ2Sv5fP5pn3AsgTv/haq6f1NT06teXXZ4kiRbqepuJHeFs6b/AMDAIAjWXhZ7YNKkSQ3pdDqvqqNJjhaR/X7ZaNPahFv0tf3IRJee0KUPiMg9NVxGFEUnw5n5VdLp9B5JkvQzsw/gsCLXkHxaVZ9Mp9PbJEmyiZldC2B1kr9V1YXdtPNu7Mf+s3vZpQ+kTP11R7B+CvhdkiRXq+okOqXYP5M8Spxsdsa3QheZ2duq2hzH8a+CIDgFwGMicjbJfgA6Sd4aBMFAOK+cHeAqeJ/550GjmS0BcA2AWZVK5d2xY8cu8VYAE+B+z6+Z2aggCI71FOabAUwkecv06dMf+Wd+z1OmTFknCIIHwjDcUkTMa7L8jeQ+Ne2OYrF4NMkdVlhhhR8tXrz4JVX9hW9njjczyefzV5PUUqn0Hp0a7vlmtgOAjUXkzDiOQ1W9VETOnzZt2g3/2+fM8vj3x/Lk4l8Q33l/6okZw1VVcZWHASZto2JcuF9ZxwKorUwrAPDiiy+mBg0aNCaVSu1N8rt0yP+Y5CIPqHo8nU6/sdFGGy343x7XNyUn4lD49fh6kgJ4Hw/0SkzorLu7awlK7b9BECxqb2+vZLPZ53K53JhisbgyyW1VdUcz20tEApKXk3yoxwNrZzhp5xIci2YTOK2FLaYxvqhQpxe3gRstFD6zf1m3Wcdkgapua2YXwsmG309yBxG5q1wuf6W9EUXRpDAMx0ZRtD+AQzzLIvQT9Xw4pcqFADYxs8kALjazEUEQaBiG13oK5Z8BXB2G4aNe/vsUkpsBuCoMw4fFARSnjK/jyFfT9jVRqTUNXWd0pmaoM3d6NJPJ/CGO441Jfo/OdC4LNyl/SvKJVCo13sy+Q3J+Op1+OEmSQZ4hNBKOfTMeDt8z1ldsPoETYyrD+T8MhCu9zyLZIM4b5HkRWYPkhXQskGcbGxsPXnfddbtffPHF1JAhQ84BsFU6nT58+PDhnxSLxZ+THLNgwYJDejOMisXiK0mSHBQEwR9FZK+mpqbPPfPjUzN7MQiCCh3AdB7Jm7q6uv5UX19/lKqebGZ1qnomgDLJG/15T4GzW3+tvr7+1d7tEOALafU3Tm1MNFbZpPf7ADCYMuNP6zZ/zdOkUCicqqp7mdmaIjKY5McLFy7Mb7fddnEURQ8AuLfGYvFj5jQA55NMPVaPd/+WtrCv/e1R1k93qeqfABzgfz8zARhcgmAAPq1UKptkMpk/iZOf38Tft3Ekz1PVHUgeEwTBCXEcn0JyF69zsQqAZzKZzI5dXV0rBkHwtOtm6p/FSYOvhy89doYCeJ9kVlU/JzmWTlW1LgzDbfo67n8UxWLxKjObXEuiS6XSpmZ2tapuD2B7Mzuzrq5uF48Zmu5/dzcCuKZcLo/zPi3DReTX/n7fBtc6ulVEzhERIRmKyEMkdwRwehiGE/6nx7k8/nNieXLxL4p3osKip+rkxL+lOOkKZljXUb2nXC5vlclkfiSOl39YGIbv9f5cbYVnZrsC2AsO7JfAPXwj31udBGDiv9pGva/kxE8S9b2rJyIyxMxGq2oDSYXDj3wuIh+o6lCSDXAguk/xZVLSQfIiVb3NzC5U1UOTJPklyQPFaSVsIs5GfGsRGQzgL+L8P35LcrcwDDeZPn16/2q1eiSAIwA8rqrXNTU1fR5F0TtwFtNXmdmOJNdQ1cvFuV82i/OuGFQmT381i1Mnp7kwAxmydoLuncryXn/IWuJYJS+r6k4exHhlTbUziqL1ReQZAGtVVc/5S6p6yfNpmgnSQmBMopU9u/jkYOjOJM/q37//rd54bg+SP6DDjfzKzH7pv2cLONDjaLjJKoJvC8RxPEVVX4NjawxW1avM7LTGxsaj2tra9hSRo8TpWow3szdVdUCSJBsAOE9VHzWzQ1V1gpnVi8jWJNO+1VYH57syEc6CfiSAFUneAOBDz0ha1N7ePr+urm4kyfPq6uoO6u7ufi0Mw01KpdKqZvYIyX7e9+TkUqm0C4Cr4jhu962d6QDWgaOjXuev3SMAbgdwGZz2RVYc7gZwYMfF/rVRJFcXkTWuqY9nvRfgKzbitRhblQ+uHNY8tOdrvp11FIAz4XBJQ7PZ7IbDhg17r1gs7kzyWJI/9puH4r1VSL4A4LsX9WdmnnBD9BEbxVI5sTu4wSd4u5OcT/JUERnsJ8+6JEn2UdVL8/n8GJ/ETQGQpFKp4+M4PkQcgHM0yTMUX+CZAAAgAElEQVRF5HTzMuZeWGydXC53lk+ORpCshGH4k9r+fWvkr3CtrxxclfJFuFZEFsAMEekUr55rX/XqmdFXxcgn0y+1tbVt3kML5cwgCIYlSTImjuOds9nsRmZ2DoALAJymqveT3CKXy53m7+sh4jRBLueX+J39kiQ5UkTWUtU/isib6XT6okqlch7cguWM/63Gz/L498Ty5OJfEJMnTx6ayWQKuVyu1luFN83qCsPwykKhsDGAW0Tk0jAMx3/T9xUKhfXMbKcgCHYTkdBP1iJO7Og1kq+KyCv/zh+lt2puBrCjiGwHYACAdQGc0NjY+Jd11123u5acVCqVh+EAcT8Vh9gfRHKQqq5kZieRbHMLGw5S1Y8AdJhZ6CsLg8SZk31EBxTNkFxM8u+qekWPCkp7kiS7wekqTIBzNSXJPWqW41EUTQXQ4tscb4ybPbuOuuRl4Vcnrf6U6vFdeutaCUbDAXY/hUv2unwbYxiAzQF8QPLncIZbZRNUPheuNhBazBA30AEFbxCRH8O1qJ7wrY8OPyH/zpys97UAHjazp0gmZnZMOp3u4JeGUlvASYq/KyL3qyrN7BAAnSLyF1X9/ciRI9/vfY9KpdK1HvB6Qg9MRyZJkgkisj6AhSLyuE9KjgWwPsk7RGSgfJ0SvZG/zgHJDICpIrI5gGeTJBmaSqVW9qJRQ+GElGBmS8UxG7r8sf8VwDRxgmdzRWSOZ1lURGQJyaGqWhPrSpOkiADA4M+EvLwxYZlftsoAoI7AmR2KwYYl4sChKXGqqSsDWEzyU1VtohPZqsABWzfw40BVdW1/PtP9MWVVdcDl9fHY95X9+hr7qxreP6czdaz/nnKSJJNV9WoRmUFyf3Fg7KkkN1PVfZuaml6Louh8cYZ9J3o8y8tJkoQiso6Z/TEIgv0XLFiw97hx46xmnJYkybuq+jqAziRJ9ovjuD2TyRygqmeT/ExVj2lqappaKBS2EJHfmdmNqnocXGJ4QhzH9fCqs6q6Hr+qjZMAmCfeKBCOobS1iCxtamo6T0ToJdKnkfx5fX39/d3d3a+o6vf88f7IzG4zsyNqIM1CoXBNEARP9GyJ9jCl+6O4Nt+BVF33XbEXZge2aMuq/rCRuL0mKNfX9V4e/5mxPLn4F0ShULgBwIh8Pr9D7TWviTAhjuN9R48ePWfmzJkDuru7b/ErxhP/J1UIr9y3NYDtSG4LACISm1lGRFpJvhIEwes9jYe+jfCqjjv6VscGqvq2B+y9AGCUmR0YhuHRvT8XRdE7JCWfz4/p8doIAHfCSWQ/LSKHAEiHYbhlFEW3ANg8nU7vXK1WJ/iH6c/EuUoeS9evLgO4FQ7s+EVLx5ePVxMH+OwQkZl0YMpFJEfDOa8GInLnzdlks0KaJ/R1rkNN3jitXc7K5/Ov1F4rlUr7AfidmYmIPEdnTtUAt3L80E9WA+nkqVeGUzwsAbiI5Flw/fRyLpc7uFgsfh/AWJJtAE5IkuR7qVTqZlU9z8x+CkBU9XozW0NEzkySZJGqzoHzRxkIh6GYr6odZvaZiLwvzndkSSKUWSqrDxT93kqJDUxpcIuZZVS1n5ltJiID4MDD8+BwEMNEpGxmreKolr2jH1z1oQRHpc6KSCNcO6dLRBrpVBorAEycumdAcrCqqr8PHSJSb2ZZAFU/2cc+qUgApFX1pjiOZ6rzUNlVnO9KBkBAsjA3JSMerGPXB8pGCpNhVbF9yiqrGkjyMzgn2PkAbqhUKtePHTu209Mr3yR5ExzFc2MAj8HZ1tcBeM6PoY1JrquqrSRfv7I+3v79lHyvr7GxWVWmHdKt08WxR+7O5XKvk5TW1tYDzewuAG+b2cdBELQAyPuk+ZIkSe4RkWNF5Ge+tbcXnHjVCgA+IxnmcrnDoijKicjvc7nctsVi8UKS68LhdKoAHhSRXQEcWkuagS+eEX8l+Q7JB0XkV6p6bFNT01t9nYNPMtesifPBJSAbkNxPRKabWT8RWZOOWTMCLpF+3l/ftVT1jyRPD8PwC7PBYrH4SrVa/d7o0aMX99yXp3FfKiLrzFGue3WDVQ0cAwAqSEZUZeJRXVofkGf0poAvj//cWJ5c/AsiiqL3zeys5ubm+3u+XigUthWRn4dhuEeP144RkSPgHg5fa5P8M+GBi1up6o4kNydZJyJtcBNdJ4DXxaklvtNTMXCbmZNX0pReJILdAQwE5B0Iz3lp6KjX+tqPF8vZxicTm6jqu2b2fCqVeqb3SrlQKDwE4NKaoVOv6/OV5MIbSp0I4Mceb/I4ydsB7JVOp8+qVquPq+qYOI6DIAiegHuonprL5Z4plUpbm9lfAUwD8HldXd33evbq6UBlj8ABJu/3eI+MmY1X1ZXhJudNROSaq+rjI2YHaO7r3IdQus9v1yXimB0Cl7xkSX6uqgsADCWZERGlA2ouNbNV/Erb4JIf82XqReKovSvCgfhmA4A4May3SW4DVyJuFZF5Zhb7BGBbABkRed9P3h/DtZYEwN4icoOZNfrV9xAAq72T5gaPZGylperwP/0o3TtW9bkdunmPiJwnIo+a2Z0k00EQXGNmmQSc90wdPlNiv0BlUrYan/zTkWO+uL9RFJ0kIprL5X4bRdFEABkz26O5ufmjqVOnbphKpa4iuQuAjcMwLPjP/B7APuLs5o8iua6IzE6SZJaqrgZglIhMMbMp4jRONgMwik7JNYGrQJiZFUVkPQARSQ2C4JU4SdYUkWEgNxCRBj8+BgZB8EqSJCGAJUEQ7DJy5MiZURSVROTPInK+mb2KL+XN36Vjcb0O4PVKpfLmmDFj5vvxc9Ii2Bm/6cf+XcKvaLnUQxYf2aWHjkjkF3AticeSJLmiubm56AXYDoBLwDYRkcNyudz9LS0tm4vIxQDGBEFwr5ltnslkdq1UKn/M5XI7e0fRl+EYNp1hGJ5TLBavpmsl5ulM5D7LZDI7mFl3HMePh2H4NYZaFEXHAzgewCNBENxhZveQ/FNvLZd/FL61MYbkuiT/CmCSqp4ERzm9heSRvkKzIVyiXqQT+Jsrjna/X5Ik7/VOMADg2ZbJB143QO5pFwl6vzc0xqOndwXtcMy5n/RMnJbHf2YsTy6+5fCAts/K5fIKfTmYRlF0F8lH8vn847XXWlpaxojIrSJyWRiGD/5vjyGKolVEZFMAW5nZDiLST0Q+IVnny/BzOhWFc/slh1Xc6q5nJBDb5aWhY573vPjNVXVHAFuSLPvVyvNhGE6WZfiO+B7w+L6AZL6C8zLJbKVS2S6bzf4BQLVcLh/nHVHPAHDWtGnTVh4xYsTPAZxMcko+n9+1WCzuSfIBAOeFYXgV8IWvxzxxVvQpMysvWLBg/1pJNYqiy+Em8ADAG14fIA/gdDjQ6Ari3C6vOXFA8hMQR/R1TgRar1+qKTjRo/5wE9jf/aQ/EM79MeuTow64iT8kGatqRAfsC8S5ca5LV9ZYQHIAHKtnGh398DGS40Rk1VQqFQZBsFBEBnZ1dT0Ch7+ZRXKlIAjeIflxLpc71ass3pXP53fteczbz5mypUFeAb7aOhAAJ3UG5Q0SPAvghRqOIwiCcz4TO+yqflbtdABBAEA/ovr9ij65VRyc0NTU9GkURRNVdReSh5G8oK6ubk0zy1Sr1dNJbkXyHAB/MbO9giDYEk58agycAuaznk6aAnA5gPtyudyNxWLxTZIX+uRjbbi212wR2UmcO+tTSZKck81mU9Vq9RUAVVW90MxWgkv0VoRLFLaAa1fV+8SkQxwWYkWSCwGsqKrz4FpxCuBDALNVtR+APZqamj7vMVY3SJLkJrgJrnD5gMov16im3/4wwMpVsHM90yV7d2NIg2FfETnPJ44/VydOtQqAxjiOjwuC4HoAG4nI331F6fSmpqYPoii6Fc7ZtRMuMflrGIajZ8+eXdfe3v6c/84TRWSAma0qIkP8dT9eRBaaWZpOH2blfD5/We8xG0XRGXQOwJsBaEyn0z+rVqsXAVizXC4fOXbs2H9G50aKxeInInJ/Lpc7dcaMGUMqlcrfSD6vqnmSfw6C4PEkSe4ul8u71tfXrwNgbTPbnOS+IjLZt3oafUI9F87W/YNr+pnMUl7e136zROXy9uAZmD2sqicCeEpVf/Ovxpktj38+licX33IUi8VTSB4dhuHIvt73zqfP9baF9m2SmwFU2trajv2/1KjwD4RtSG4rIlsCwCMZW/hilrv2tX0KePOatsD8w+BFM3uhUqm88c/avft+8pxcLndXH++tJSLXkxxOsrNnQlUqlfYleaSZzTXnCXGxiORF5IckPxCRxwG0m9mva8lZqVQabWZnwalUviciKZKLcrncj0ql0qF0apH7FYvFn5Jsy+fzd9aOxTM+XiNJEXn/yXTS8UwddurrnPJVmX5Ul9SJo4ZOMLN637tfADdx1sNVGwzuATocrsqwCMDD/FKuvR+AswE8qapX0lFityX5EzoZ7P5wktBZuEmyhmnoBPCROPGxJSRXFIeTeAPAWyLyfTixry8YO6f1i8/vBvdDH7Fuoq2ndwf780scx94i0u+ShgQfK78mtR4Qbb9p03f7qc5OkqQsIh+KyIZwQN23gyA42Jy5WprkKH9N/mhmU9S5lx4G4Csl7lQqVZckyVkAtgOwBp20+V+SJAlSqdThJDMku1V1Bsn51Wr1nLq6umqSJFNJHgGnwaFmtr2IHCEib/FLN1/QUZyVDrBagdeX8NWmz+gUMOfAVUhSIlInIp+aWcq3gxrhksi5IjLRt5I2ocNv3E2yTlX3NeepsUSch8uVfh/rqOpxdG2iBpKLRSQG8BKcGut0X4U51ic/Xb7qcpe4ltRwcZoYC/xxvqmqZQAjzWyCqn7XzBoAVERkgoh8rTIAYFOfXHzs7/HaJN8QkZXgkp1JcOZiX4RPwgfU/l9E1qZjVFXhqNwhHDV2iZlt6VlXA+BafIt6fG4wyRS8+ysciykWV8rrB6D/vVmb9lbGtXX7il90p3dYvWrni8jfkySZo6p7q+o532Q7vzz+PbE8ufiWo1gsTk6S5M/Nzc2/+gfbHE1ywzAMz+jjvcNIHqOqRzQ1Nb37bRzjpEmTBp47JH1FF/g1PAQA1AHJFW3BUlXtJNlG8nOS3f7hWFMXjeEm0t4hJL8rIi+gb0XRFeEe5gMBPCsiHT1eH03yFTjFw43gVv/DxeEk1gbwsYgMoaNc1iyr16br0as4Kmd///+Am6An++NYBS4BmNPreIbBgUsHJqD9vt6C6QG/8jtZyYSndEhXf0gGDsiZ+HPvhFNYXV1EElXt9kJmg/1ksaI4XYnPRSRNR1NcBUAbyQEi0pNqmfjjE59AZPy1pojMNzPFl062Cvewb4CTW67zry2Gwy8EIhJc2ZCk3g++nCh6xtBE4tM7danfvlFE2KZcenY/W31ZeqhHduu8MbE2+hW6+WPOwo2FNrgJpt2f+0gR+YzkGnDJ1oxeX1cH1y5YBc5ZdRDJReJK5EtEZIBfnbfDCY2ZTwDmm9maqvoknKLtKBFZSnK+iAwiubI45sVHPvHoB4f9GESnIvs6ya39ewvUGcJ9TGeytcTMVqaX4oeroEyls4avh6P8LoVjkcwlaUEQZOhaVOIrVjPofG5qHiCtAHaGSxorqvqwr/7tbGbjRGRFAN1mdoaq/hIOMFwRkbfMbBKAA95I4ba5Kf78/ZTMHhZzyOZVuWMlk+8GQfBhkiTfpWtB9RXnBkEwPkmSGUEQJHEcN4vIGWZ2qqqaiFwpIn82szsB4IV6rFIKONIStjV1B2/s5KpAP1HVA8zsbpKTxeEuTiR5rYhMBHCcqmL+/PmjatXC1tbW1czsOjN7F0CjT8LXgfNDycBVneY/mIlffzXTd6UQwKKXhjYPJoAoivYVkbMA/FVE1iHZPwiCE/sCLS+Pf18sTy6+xfAl+sXpdHqj4cOHL9OJ0JcaX1LVk5uamqb2fr/m5SAiV/RWxfu/inFzWi4CeHafxwf54IY2vUdE1veUy7UANNKxONrhHtb0D4raXCR+dVgHh0WYCsdeaAfQLs5dMwBwKNxkFJvZ6X4FtGIQBL8RkaPMbK6vVJwG4DIR2dWvhPfyVMZdSD5F8kG/07tE5MIgCGZVq9UnSZ6tTi1wHZL3ke4c6eirOwM4FwCCIBhsZj8luas4IN4qJNcw1evfTNmPSwGlU9GRT3SNbapg2iB+EpvqqwmpJEl+HQTBqSQ3C4LgXJKHkFxER519DW6C2TeXy73oFS+f9oj+Kb41c1O5XN528ODBQWdn5ziSxwPYk+THqtqVJMl64jAA/UiqfEkn/MzMOkXkUJLPqOrqcJoJFXHYgQ4Aq95ab6u1pL4q+lSLNRK0nNUZTBdnztWP5ENvZ0zuzvZpugcAOKhLOreItaGWvLlFKP4O4Oy6urqne2JdisXi03613BKG4U4AMHv27Lq2trY9Y5Fjns1yvckpa/tc5eNVE8w8tSvYPeNAqTEd++dHNVM/Om2LHUTkYlXdmGSnZ55AHFj0bXiaLoCJnmp5GclTAVTNrMEnfFPr6+vHdXd33yUiq5vZWADXAXhHRLaHoy8rXJK0NI7jI0aPHv0S8EU7761p06aNHTly5Ieq+oORI0e+CQAzZ85cs7u7ezaA7jiOt8lkMo1JktymzpQuDeAncG2zj0WkGQ7kuoBkJ1xyG8AxkBpIvicic+BaPOPvrbPhE9PYneAXomwNQLxdkj5ml047WkTWSafT+b50cKIoehTAST3xCl4Y7m4z+/mAAQNe7+jouDYmG85ojBdWRU6AVwUORD7fvwuLt6jI2Hw+v6hQKHxHRJ4kubaqbmBOZOw8kucHQTCC5BSSa4tjFsH/pueb2fsiEpnZGwCi9vb21i233LKrVCqNbmNy7S8bLWeurdUreOVL64w+o8dxZ8xJ3f8YTqV2RwBPNzY2XvptgtaXxz8fy5OLbzG8QdYtYRiu9k3bekrWH3K53LbShxqn12u4GUD1/7pNAgDbz5q6qSneRB9jQoDrX1xn1Ek9X3vxxRdTK6+88kZJkmwlThthQ1/BmEzytTiOXxozZsz8YrH4vIj8KkmST4IgqMeXehibirOYnw2gKiIbkPwznOX4zqo6nc7KekW/yoFnFsR0vfNX/SpvgDivhrfgyrCnATjdrxJXodMqGCAO21AQkTdzudzlpVJppJn9Qp2gz0kAdhWRG0XkATP71JfO787lcj8tFosT4Sh7/eEokFUReQTAunEc7zx69OjFpVKpCcB1ZjaO5D0AdhORF8rl8mGzZs2yESNGfC4ilaVLl6694oorpqrV6rNwWJEvFDQLhcKlIjIMwNoiMpvkTJLbqepQADHJFZIk+e6oUaMmAg5l39jYuFoN0S8iZ4jIAt+PD+GAiUISJFFKc8nN9Vypr0rEMV1BWxgjTYf/OXj8+PHBWiNG7PvLxvgOulX61+L0TrWhidQmOfqxY3QAV1PVDpJ/hwMQf9/MVq9UKo2ZTCbv7/24NuHfzutnu8aCjXp+9wDDgrM7lA2QP9IJbz3e2dn5+/79++fNbGOSm4nID+ArPOKMx25KpVKX95xYJ0+evFImk3mCZDOAOWa2VyqVuiBJkj1SqdQvkyQ5DMAHYRjuXSqVRpnZn+AwFfMA3AOnHLsWXGXoPTpp/rdFpMvM4jAMT4+i6NNUKrX7iBEjvgArR1E0QURG+wrKmSR7Sne3iAiz2exm3d3dL6jqiUmS7CmOkryqOOzSIjp6bpnkEyKy2jzYrhf3Zy7hl4lFLdZIpPusToU4KvRSkvep6lzpIWJXLpfHd3R0fM20zLdmx6vqI7lc7saTZ7bc15LmQb33IRA7tEsu2pyprJkdBpeEdgPo76tSib9WnXDskftVtVStVqenUqn7e8rm99x3HMfnARgpIqef1JgEDcRj7cK1AEAIgvzdkK7MqQ/1ga+YNm3a4CRJzqADPb8DYCu439VTvbddHv/aWJ5cfIsRRdFTABaGYXjYP7n95STfzefzNy9rm2+zTTJu9tSzILgAPTxMVqK8v8iqzc+v/81gL28jvYmIbA230hoO16e+VFXfyWQyby9ZssSy2ezZADZX1SPM7MeqOt/MdvXl1qdE5LpcLveEf/A8Q6cN8HsAWyZJMlxVjxPXU14LDmj4oYg8Z2YjReRAkvf7svWKdOj1TwB8Aic1TJLtqrrAzDZMSEvIuRnVaXBthO/AleefFJHtzSwtjpKYiPM5iczsu/6UrxaRzRsbG/cEgI6OjjmehloHlwzslM/n34miaCxcb322qm6cJMnjcJ4lD5HUKIq296C/tQCspKoHdXV1Tclms1PhyusVEbmE5O8AlPL5/LaAE4ISkS389d4CQJM4L4c/iMi5YRjmfXVggogMEZE1Xk5Z+6N1lo5dywV1ENujWzq/U5UsHO1UVLVMUkhWH6tjx98y/MLkrRbDEyQ/6QzKlUplh3Q6XRWRowAcBpdkpGpjiCT9ZJkCAH/9Yzr674vXNljqvRQO7XM8lvHJD8p6tqpuYWa7iQPLPkFyFoBjROTDdDp9fLVa/Y2qTiS5m9/feyJyn5ltD0fPfgHALiLyLJyvyW/EMWnWF5GxAOab2Z7VarW9rq7uPBHZy8yGkpxN8gNVhaoWzGwbAPurE327g+RnJFcQkQ2SJLmc5O2jR4+eAwBRFD3rx38Mhyl4IgzDo7y42lUAPkyS5DEAo1X1AH99HgKwE9xEq3AKs4fTUTpv3W7O1EMhcueyfn+X/T/2vjtMqvL6/3POO7ONXeqCiqCCwC47c++KoGIXS4zGFmvsITHWKBp7iyXGiN0oaqyxJQpGjcZoYgEbioKwc2eWRZBYUBSWzpbZmXvO74/zrkFcjFH8Ps/39+U8jw843Hnvndve857zKS1ucXmsb5NZx/+BDMTaB0Afsvbh9jAWFWD4nSVq8vHNzJwXkQOZWS6qKPRbydS/q33sVKCPj2jnTpzEbJiw2mxV/TWAQUQ0LJ/PX1RaWvoyM5+TSqWmZbPZelU9e833oDffOxXACWQV2S98ed6Jot2Wsbz4KdPzm8X0YbXoC2EYPrWu3w0AnpV0lYj0dM61iIgTkXGdar8b4n8+NiQX32NEUbSEiA5Ip9NvfJPtvbvmayKyT319/aJ1bedBi/eQKUL+eV3bfZsYM7+hJi24qL/yQZsXUUwVtHvCuV7r8nn4ushkMjcR0XwiWgFjqox2zm2uqk0A7igUCq8kEolfqepbRLQvTKL6zXQ6fbsX4fqHc+66OI43h6n+RWEY7pnL5TZW1YlqgmEM4PMwDG/y2JXyTqXHTCZzIxG1A9ivrKxsp7a2thG+PN5jIaPyiTLp0+QUCrgyUHRyO/ceUkA1mavnxrAJst23PZ6EiQpVE9FeqlrhJ7KEmrFVXlV7qWrBORfHcTyLmQfYJrTYr5xfI/MxyXmL8p0B7EpEswA8lEgkZsRxvJGauFZOVX9MRPsBuDOZTI4BsHehUHhMVR/1Zf1+7LVEksnky8VicTSA7YMguCSTybwbBMHIXC73iJqux0iY7sSylSoNnzk6KiYs7S16Xj+h84hoYzUMQ28REeecAFgiRHjNxf1eLBG3jEEVCt2+QPhhntrLiT9W1dvVgJfDAPRbsWLFJd27d9/O05P38xNxJRGpT7xWqbXTiIjKbyqP3fvuy3TOztgypvxZbW4CET1bUVExdfXq1Yep6q3MvBLA3HQ6vUcnIDidTh+Uy+UOEJGryMSYtgGwQlWv6ujoeLK0tPQVWGVrCICPvV7Km7AW3dX+eepQ1ZuqqqoebG1t/aOYQ2yvOI7PTSQSh5KBOMckk8nTi8Xilel0el9/ny5h5jsADBaROmZu9Pf6KrUYQub42kNVX2bmijiOezLzUUQ0D8CWiUQizGQyrXV1dZeLyGgAIRF9pKpbeRZRt7+Uxq9OKcGP1vW8XbmSPu1F/Ekcx48xc7cwDK9c41nsRYYvuYyI+pNhk2pg5nY9mLmFiKCqG13UrdhrJeErdFAA2Fgw5ZLWRI+VK1fuuGDBgo7a2tqPAPw+DMPx2Wz2VSI6xjNftlTVSb7tdBiAyk7KayaT2ZOIrsY62hjZbPZUVb1ZVe8jousA/D4IgnX+7jXDm/ZdQ9ZeHcDMLxDRVd/m/bUhvltsSC6+p/Al1inpdLo3ddHmWFdkMpl9iOjI/1TtaGpqquro6PgDERU7aZvf/ai/OIaxAK7wpf8TVPWtMAz3/G/G8MI4bzY3N48aM2ZMMZPJHEZEFzHz2QA6OtspAHYmovdUdQAzv7RixYoTd9hhh7ZsNnurqn4AAxj+gIg2V1UNgqBTmvuvRNQK0zeQMAyviaLoQWa+KZVKzcxkMmOZeZ9UKnVELpf7uYjUAWgioouXMPSabvGm7X413RmOSH/ZxrktO3RLWKViDoAt2BQsv1BOjaLoNVXtYObNnHMHFwqFx5l5qIi0EdHNMDOsuzs6OsoAjCai22GI+wjAKiLqpqY7kYM5m3YKfZXBUPT1ZHTh+WrYij5q+JQOIuomIjEzT1PVV+DZICLSxibQdSwzn+onmAYi2k1MTO1fRPQrVR0FsxEfSUT5OI4/YlO9XEREt8ZxnHXOXaWqjwO4HJZg5Zl5YpvEx5WCQESTVXU/GJj0M1jlaKAaAFPU2AIVsDZSGQyI+wmA7Zm5JY7jD5m5t6puNKFCaG3AbGcMitH2q1b3BIBhMCwCYH4j28CM9X4H4D02B9irYXTiGn8ur3HOPRfH8UkADiaiXiIyn4h2KisrCzs6OiAif4BRTzeHtT36evnty4jo8XQ6fXsURXv58v4yEVlMRP9Q8/24OJVK/dHfD83MvFcqlZo5ceJEV1dXlxaRp8hAqHlV7UNG/X4awEk+wZrJzFuJyPNENFrN12UpDKvUS03i/EMiGiwiLwP44YIE+l5bIV+o/K4ZPZQ6frOaO2Dsjw5/jqbC2oylHow9nIj+pEZB70dE/WEA2l4wbMlSIvrXld3iwYtIN+1qP7K2oO0AACAASURBVHt08MIfd/ByVV0Ka2euUNWaRCJxcrFYPDkIgiPXeE4OB3AITOn1kWKxuNg5dz2Z99A5qVTqo672kc1mn/PJ+JtBEBySzWZfLBQKJ3RWhf5TqGFyDiWiS2DKooMB3LBmdWRDfP/RpVPjhvjuoaqnqKnXfePEAgDCMHwOQGVDQ8MeX7ddbW3tqjAMjyKiF0tLS1/J5XJdUl2/TTBzOTO3qeoTRDSTiHZtbGzc+j9/899RVVV1JBE9vskmm5RHUfQgEe3PzDunUqmXU6nU62EYjg+CYH8iyhBRBIBEZFlVVdXfoyj6UA3xvi0R7eWc+4uqTiKi2Y2NjXUA4Jy710/CK8hYIQBQn8vlMg0NDTsT0Qnt7e0/nTJlioO9BH9BRCPKysqCv5bKwrUTCwCIVenZpFQ5584kIiai+wCUVVRUPL3mdkT0F1Wdpqrt3hehtxrz4D1VPQtAaz6fXxGG4fympqbHYEBWhelobBLH8WVBEAwMguCHQRCcGgTBcUEQ7J9MJo+HVW+WkzFHVgN4BsB1AP6RTCbTqnqlnyg6/KS0Us3HZTBMVbJWRM73yc4RcRxv5I8vUNUnVfUsX5WJ/aSzJWxF/6aqDmbmnVW12lciLvYVmk1F5LRS0GIA2zDzrwG8WlJSsqmqLmHmx9T67cthSp39yHr9RTVH0H+q6iJV7WR4pNQzKobEXTKMAAA1RUoQ0WFEtCmAc/r06bOpP5c3AbiPmS91zj1Khr14E8BgIpoM4FYAx8ZxfOOqVavGM/MoEZkBUzyVfD5/uIhMcM5NIqIaMoO+2wCcWSwW/05ET6fT6dsBIAiCF4Ig6CsifyNz0z2FjM568pw5c6oP04nO3xObZDKZkbW1tQer6hGedbLKT+Qdai2v08hYQpVE1D+O4yVENCmRSOwGYMns2bNHAjhWVd+HiaFtJiKvq7FTCgOK4G0KXbxPVHFInpWAFcy8B4zKO11VK1V1jk/4hgHoKSI/BbA7M5eo6nMi8suePXv2C4KgWxAEA4no8j06qMtVfkJR2LpAk9LpdB0zH0pE/VX1DRjY9XkAddls9ppsNrv/nDlzqr2VwSoyxdCDnXP3AbgmnU4fvq7EQq0dVwdLxAf6j+9xzv28q+27CiLSMAwnMfM2sHZkQkSOj6LohfX5ntwQXx8bKhffU2QymQUALg3D8P7/9rtRFA1U1b9WVVXt8E2Qz7lcri6O4/tg5ck/fZvjXWv/ZwM4wjl3WLFYfJKZewPgdDq92X8xxlQiukJVrwZwcxAEX7GdB4BsNjtXVVtV9bkwDC/I5XIjVPVONYnsjYhooRqD4y0RaQHQHMfx2cuXL1/dt2/fJUQ0TkSGicjtzrm74jg+jZmfhLEsRgO4kJlfUFO9vBDA0lsqZON5Tjfu6nh6KC35bYt7H7bieUdVz43jeLf6+vovqJNeFOxBGGVyH1hF4XoR2Y+IFgB4SVXHElETGQtheyJCS0tLn6qqqlBVLwewNI7jG5xz/QDsqKo/VNUhzrlXRGQ4zDL+ysbGxjGHHXaYZLPZhnw+P3L+/PlSW1u7JI7jfROJxDaq+kMROSGZTA4SkZEALoNVFCr8Crkpn8+PGTVqVKvXThkL4CLYajVHRA8CqIdhNp4E0BjH8UAiOoNM24F8G6OvGv046RPmxUS0XET6EdEmAFhV58BkqkuJKFTTfWjxiUeZn8QFJjb2karu3g5NXFsprYsJX/Lp2FhIzmlPaGks7BMz0n+rczYQ0ZsiMoqZ+4tIFUyY63N82StjTzKJ8AU++asRkaXOuTJVTapqo6oeUFpauqJYLE5T1QQz/1xErlXVG8MwnOQxK/2dc/2LxWLIprXSI3Ky6LlS7buAlcoUNFR40QF5+mffomb9pNuXzH9lByJ60FeKVqpqn2QyuX+hULidTSNjlb9nygG8pqZ6ebeIfMSmVDoQ/35P55Vo2T8T8bJsCbZsJVT0FbTu3U6JwcoLVXU1rHKTxL9p4VPJWB05VT0qDMOvADUBYObMmT2TyeR4GN2210MlxcZMEse0eSfnEkXT6W28yWB116RSqWuiKLqWiHLpdPqBKIq2BDCztLR0l46OjoFqrKCR/jq0icjWqvpAdXX1af379//aCmsmkwlgWJOniGhsGIabembIO/l8ftQ31dZZM3K5XG9VPU9Vf0hEpKpTksnkJbW1tav+27E2xDePDcnF9xCzZs3a1DmXLRaLg7qSuf0mEUXR2ar6pb7p10VTU1NVsVi8U1Xj79omiaLoYpi09MUAfqQmHz4OwIXfRCq4sbFx62KxeA8RtTvnjq+rq5vb1XaeITMN5k66se97v8DM7wF43zs/1hLRtclk8uSOjo4fAPg1GbCySlVr2NxAF6rqS54Sty8zPxrH8aHM/IkvL4+GldN7q+rjp3eXnckMzL4SvQUfXNHiyu0dpD3I5L1bYeXzz2Htg09gK8xqGM22A8AoAI/AJI/bYWX8Jao6ggxn8baqHuCc2w6WTOwPYAARfSwiLwDYxTl3nIicCOCNIAgmZrPZK1V1RRAEN2Qymducc0+kUqmXM5nMJDLDr5cB7AZgCBE9q2ZNf46qriCifjCFxwP8y/8MALuq6gP+72UALiciCoLgzoaGhgGePrsdmax2ia8ILVDV54MguDaXyx0rIhcz86YispyIhIgaYZTJ0b70/y4zD4njeDOYi2sfZiafVAgRrRKRHr4aEQNoKwJlr5XCNXGsANHQmDCm6FqcaVIUYFiR7v54WgD0gbUP4BMXAQA1j5L3yeTQP1HVT51zVSJyJHzCxcxvisiPiOg1NYGtTf331f/3nj+uGlglZjFZe2qhGrbkJ2+U0dLHksXdv8q60fcvWE2/6C98AxFVqeqHAErCMNzFX4MXYEnWVSJShAmV7QEDmVb6BG6ZWssihrWbBqj5ojTDzO0Gw0Ci/WBJRKcoWDuAm7p163ZLS0vLDAAlqvowEe2ipgr7TwC90+n0L9c+aq90exmAe4joKBG5kYh2KBDNXMCybw+hYb0V/VX1IJiT7nRV3TedTu9IRJLJZG6EVQd7BEFwsh9zjIhcC2AxM2+iqpuo6ntEVEWmh/EGEc2oq6trpDWUfaMoGgdgrKpOIKLzAYwJguDjKIquAzA1CIInv3Lav2E0NjZuHsfxVfAiacz8uw2tku8vNrRFvodg5mOJaNG3TSwAoLm5+RYi2qehoaHmP29tbZJ0On00/btNkvq2+wZQLiLLmLkawMNEFALIqervpk6d2iUtsTPmzJlTHcfxU0Q0v6ysbMy6Eoumpqb+RPSIqs4m845oI6LH/Oru7XQ6fYHf9EQiuru2tvbTMAz/SERL8vn8vvl8vnMyG66q2/vKwbkAhqvq2c653qr6qao+1tzcPCIIguPKysqOIqJxR3a4LvvJALCU9JYgCDZm5tF+pfwQTBiqUlX7AigVkUFqcs4xbMJ0RDQVwHA2A7l9YJiNTpVFJaKtnXNzAfw0juMplZWVI2fPnt1bVbNEdBwzZ4rFYhWAkel0ehIAENFVAI7M5XLHqGqZiNzjaYw9iWiYiLy0atWq0X5lOJqIjlETrOpORKuY+dpsNjsRwL2q+vrs2bO3JaKtiaiUiKYz8wdkLqVIJBLd1dRBP4MlSATDm9wThuH4OXPmbAFjMfRW80zpR+ZAOxxWublBRFhVR4jIECKaTUQREX1ARMcGQTBQVWeJSC0zMxE9r6r9giDojmJx2O4d9MQpbW7JKW38+Z4d9BwVi2/ABKcSMB+RSjLFzCoiegaW+N4NS/gYAJi5B4BRInKgqv6CiC5W1ZNg7J8BsORyXwBQ1R1giQXImBmdyUUdEXUw8xxYdWcgTFm1lZkVQPxosljRtbAYbflWCZ1FRLGqPsrMNUQ0LIqiaQAeh9GwFcAlzJxwzv2WzKl1mapOUNVZaj40MaxSs4WaQNlmMObJtkT0vIic1adPn42CIChLp9OlRLTMLheOa2lp+Vscx3f5e6AMgCsWiz+DsToOjqJoXENDQzfAKnCZTGaSqh4G8zw5WkRucM69CmCvFYsXTxoU05LeiiYAs5n5/I6OjuPUWr5vEZE0NTVVEdHuTU1NFwGozeVye0RR9KBa++1wAE+JyL1EdCmAJmbemYgeUqOjn5/NZt+Nouj1znYKM+/tz/cKVZ2jqp1YrzsBnLCu5/abRF1d3YdBEBzLzCcw82JVPTebzb7a0NCQ/i7jboiuY0Pl4nuITCYTEdEzQRBc9F3GyWaz26jqb4IgWJfiXpfhNRzuVdXbwjB85L/dbxRF15OVsKcFQfBQFEVvAPgdgPuJaEo6ne5SQtqvVn7PzGWpVGoYrcNrxGt2/JOIrlcTmHrZv4g2IqIb0+n03QAwd+7c0vb29rdmz5496vDDD487j42ZX0ylUs9HUTQdtoItg718OwC8oaofwSaFjWEVi05BpaVxHE8G0OeeCn01m8BuAgMTEoCwSMsOV95mx6HB+yfNz9b3juNpM5KItijqwA6iK3/VQn92zp0hIieQ+TtUkrUImEwG/Iw4jlcD2IWZj/KTcKe65l1E1E9VdyQDdC4BUE3GpHlLDbC5t6p+zMyvqmoVgGFk+hw9ReQyZj47nU6nyACtWWZ+Io7j25j5PgCLmPlgESmHyVP3AfAcEV2fSqXe9oJuD8AszY9W1TdF5FoiupaZP/MT2UVhGM7IZrM7ishkZm4XkdhPXAkADTDMyAFxHEtJScndamDFwTDPjnf9pN3sK0a3BUFwTyaTqWbmZ0Qk7ZxLisilQRBc29jYOFBN1Gw4gOvS6fQz3gfnLFXdnZnvFJHLYKDDFgCT/Pkb5s95m4isYuaCqn4MYHO/+k/CVvd5WIUmCUsCC6oqRPR3Va33bYRVfoKv9vfMljCAbTsseSzxt0eHT6YK47qLinZtt95b8MiVrYkxAO70K/0yZh6RSqU6oiiarkZf/YCZ91DVDDOPUdVu/nmDTy6YTPL7PTJJ7kPJ1EmfIqI6Vd2UzBDsdU+73IeItvL3TAuAOcy8k4j08oqc01R1pb8nCjCQ9iJ/Xs+EiYY9Q0Tj/TW4HKb9cV8URX8GUDt79uxRw4cPPx7AGWomZA7Ag36Mgojc65y7Wc019Yh0Ov0P/074QxzH99fX178VRdHDau3PL72Tmpqa+heLxZEwTMxZMM+dSK1dKlVVVfsNGjSoPYqiF0TkxPVFL81ms/sDuN4ncM+WlZVdOHTo0JXrY+wNsSG5WO/htR7me6+Q3H/+xtdHFEV3ENGr/y3l1Bum3QlA/ts2SRRFEwAsUtWVYRjeFEXRGb6sfSAR7Swio+rr67Od20+ePDlRXV19CUzA5g1VbQ7D8LauxvaT3JNqhmP/gjEXNnHO7Qng9DXLlJlM5mgiGhoEweVrHNteqnoIM09V1QmwicOpaksQBL3WTGg6hb5UdXs1tcsQAMiwAjMXM/ac7bSljbFkeMzdNo/xlKqOvKlSr/6A5E9qapVfxLCYpv+yhRYAGE5E1QCqRCTHzDWqWuIpg3l/rnoxs6gJgVWuWrWqulO8yFMm7yUDPT4Rx7Hzv79WDfjYk5mXAZinqhVk6qIgIlLVGUSUhQmEHeZL5jcCOBqm4yEAOlT14zAM053nvK6u7kFVzcZx/KBz7nEA02AT8MlENF5VV/rvby0iQ8lkyotE1E9EFiSTySc7OjpeTyaT5/gV5fYAZhHRQhE5nZknquqhMEGrZQD2SKVSmVwud7GanfwsWDtjAGwVfQ6A0ap6fRiGk/x5KXHOVcdxvGWxWDyVmX8EY510wCTA4X/vYn8utlbVAjOzmoW7A7CazSekLyy5LABIEtEkVT1YjX2TgL378gCW+yRlGf0bfF0Jo2gWmflzESkwc6UaC+aFC6pknxZ0TZ/ds4OWH5jn1ar6Fptp3W4ikvUYkM1hEu4O1uZYDZMCKXfOHSkil6rqHgBeYeYdiWjfurq6KdlsNq+qp3Xq30ycONHV1tZuRca2OoWIykSknZmXqzGsFsGorKPUqNqiqo85516CKZbeoaoFAD2ZeYEaJfWcIAhe8NoprznnRldUVPCqVas+JKIzgiB4TE1J+F0ApcVi8YRkMvkbNb+WX/uk4I8Admbm21Op1Mv+eZ22atWq3bwKZ6WIvBLH8ZFbbbXVe2ufO68HcxlM1r/zuPYmopyansgSWBJ70drtlG8b06dPT5aUlPyMiC7098+lQRA8sD7G/r8eG5KL9Rx+QrwhCIIuAYP/bfhkZTKAPcIwXPYfv7BWdNqXi8jYNROCr4soiu4D8A6AAUEQXNzQ0NDPOfd4HMdnMvNEAMUgCGr9tgNhK5hXmpubr6qurp6Wz+d3X5fDYhRFtwOYHwTB9ZlM5iAABxHRkSJya319/Tlrbfuyc25sXV3dh95U7EAiOlRVtyazdd5SVa8nosuY+dpUKvWVSpHvJ1/FzFVxHJeq6tnMfDmZM6OQJRAtzPyQiPyCmU+4vLzwh8WMLmWyz291SwbEIJhEc6mqvsPM5SJSyszznXM/LxaL/2TmG0TkJzCgYVGt37wEJj40VFU/9wkE1NgbBVU9LgzDN9WEtQ4h6zm/UVZWdl17e/tfVPVJZh5YLBafTiaTJ4vI/kT0khpwtYrMKOsTX0lgAI+SKX0eqKozyQSYdoDZbveEJZD9mflBEXnTObetP+YyAJcx871xHJ9Jpva5haoGzJxJJBJn19TUTCEijaIoVNU7iWikn/wfBJCCGVq1wRKdZ4mov3PuljiOn/PVmVfgAZiq2t8nUQkyrEIvAO+p6ixmPkJVl8GwCgJrIczAv51Pa/1v/8QndsTMVaraG1ZtcbCqBWATk4pIG4DevmLRqKohzBxOACyAreRb1DA1d6rqL5l5K1WtWLVqVc2Fm1RcRoQvKdbCLiQuaHXaPwZZvqOtsJbOap9kCkxFsicMRKtE9HcAu5AJWt0Aw+6crKrt6XS6exRFpxHRJUR0fzqdvnDtXUZRNKuysnL0ihUrQufcJFgLbzWZUutgIuqpqit9dScJM/o7tr6+/rUoijYCMFlVVzBzAcZKqgOwOp1OT4ii6BY1SuiFYRi+mclkjob5qdwG4FFVnUtEB6vq5DiOjxwxYsTyTCYzmIgeSKfTu8ybN6+kvb391SAItus83kwmM5KIfs/MY9Z2NM1ms+epag0RvSsiBQDEzKMB3E5Es9W0Sx4WkclElIIlaG8Q0YxkMvlmV5Ln3zQymUwvZv61qh4Bo3f/NJ1Ov/Ntx9sQG5KL9R6ZTOYlImoOguCI9Tjm0US0QxAEp32b70dRNBzmrnhXOp2+5xvs709+pbdPGIYn+s+eSyQSZ8RxfA2M6nauqi7xE/vpqVTq9SiK9gJwSCeoq4vjuEhVt+gcM4qiq2EAxBcA3BSG4RcumQ0NDTXMfJeq/p2Z91JVBfAOEaVVdQcR+RkzXwGbPDZX1evCMLyq8/teZ+RGGChutKqyqt5DRls8DcArqjqViAbB1AqvU9Xz80RbnlNZLMU64oA8Ldirg6Gqf2LmfiLyYyI6CMBxzFznk4wL29ra3iwtLX0RZrOeEJF/Oec6n7epsFX8xjD796XMHIpIB4CJzrmbUqnU0jWSjAuIKANguIiUk6mTvg9gDyLaSM2Y7NZ0Ov0rf61mkOEyWM2Jsg1W3u8FS25imKbC5zAw6CdqhmIFVW1i5vkww7GtYGX2oXEcH+mcu1VNwOsoVZ3gnJulqo+IyKZE9C6AVhHpz8yDfJmfYDiGvP+z0130cwB5VS2oah7WY6+AuZTmfCugRVVHq4GJFzPzQ3Ec705Eh6nqpyJyyLJly+b37dv3JF+N2FRVd/LX+EQielWN+noSGQA4ZOaFIrIJES3z/1bNzEtVdQrM4fNzZt40juM0Gc6oE5vTpKobO+cKIrJRG3TpPeXa672EflHZSgD6ozwv3avAjwI4Tq3UPp9MV+JTMuO2uaq6h4gM8EnOQjbLdPLnrz+AvrBqXIJMUpvIWEvbqup+JSUlCzt9ivw9fn6ntkQ2m71VRJoAHNutW7fDW1patvOJY9JXSxpV9TXn3A4i0qAm0HVGOp2e3NjYOFRExonIWADnqWpTu6MLp5ZQPJPjOUtYX7uqJXFxWSKxBxGVFovFq0XkaGZ+RFWH+OT+af9c/x426c9X1ZOCIPgSViKTyZwFYGAYhr9a6/PnyNhhf4RVXlrJtGyGpNPpq/zY1wJ4KwiCJzrbKboGO8VXOd5g5hkVFRXT/1ufkVwut1kcx7cS0Y4AppaUlPzsuyQt/5djQ3KxHsOX2D4horHrW9s+iqJ/qOrlYRi++W2+70Wtfg8DJJ5SX1/fsq5toyh60jk3Po7j84IgONh/dqyqbuGce0JE/gQr4T/nnPtZKpVa6rd5QkSu6jSYWmvMwwEc39zcfOCYMWOKnikyw08a7QAeCYJgWhRFI4hof1U9hYg+IhN2etc5d7qq1qjqZcw8Qs1R9EIROYiZnwIwJQiCA7wS4eWqmiaiG4nobjVa62oAUVlZ2Xmtra0/YOb7YZNuHsCydDq93bx58yqX59uz51bGA9c+/s44KM+L9uigd4hoO5j88TaqOoOZu6tqyidB7QCgJoxEZLiKKjUTqllkYLV2Impj5oKI/FxEZpJ5pQwhoioRWcTMzwGY6px7t1AojGazZK9Us5t/zYNuzwBwXTKZvLnzRUtEJ4lIb79fx8x/F5EaIprpS79lHquwFRENFZHFzMywCsswspZIu08Oyslkt8vI8CNFMgBkif7b46JABmL8HEB/NfZMkUzTgcgwBI3OuV8Vi8W7AdwaBMHv/Sp3nKpux8y3NzY2PtKJrfEr3OsLhcJPk8nkbUEQ7A980e77k6ruzMy3TkvKxlOTutGHDp/v1q5DflRIBAnVrHPuRBGZzsyHeu+J+UR0GKxF8AGbiNcAeAdXZr7HW8fvBFu9VxERqeEhyP+ODlVN+GSmYzZL29wklvZUqh5UxOMDhX6kxtjpycyVsAT2OFgiWE2mg3JpEARTZs2adYxz7i4A41X1BDLX1YZ8Pn9qeXn5hXEcX8Am3CV+stzTJxkJWJJIsETkEwBvq+qnbLLtJxLRZBH5rKOj44by8vL74zg+mEw3pURV/04G4h0OW/kvVtVbmpqaHqqtrT2FmfsCKGli+dU9FVJox78pwt2UPjuune+rK2JvAI8R0QgRWUpEVTB21G+DIHh2zpw51R0dHS8y871i/it3rPkMqSrlcrknReT+MAz/CnzRWn0LwKpEInFooVA4nogWJRKJ54rF4uNBEIzx75EtfSK979rP5sSJE10qlapV1c6EIwTQk76GnbKu8Hi3ewFsqqo3B0HwW/ovNYv+r8eG5GI9hl+5P5zP5wetT8VMAGhsbBwax/HD+Xx+p2/D9e6Mb9ImiaLo+ba2tl+Ul5f/KQiCnQHzsfCl7GP9qjAG8M9OJdGmpqb+hULhz0EQ7Lr2eA0NDTsz83hm/kEqlVrttSxeEJEFqnqyc+7XvucdAJglIs8R0cUlJSX7F4vFC1S1TlWv6KxszJo1K5VIJKao6lwROZyIssycU3NGHUtENyWTyfmFQuFpVW2EqV7+KgzDVwAgk8m8S0QzmblERPYH8I6qHh6G4bIoii77XTc5/1PWr7BiCMCFLZzvr0w+iVAYXZFgK33yq+Kr1ISP7iSizpbHBCI6Io7jnyWTyY44jsucc+UicoCqppn5UREpI/NEqWTmHdSwIp2r/+7wrAjnnMRxXIC1LxRWbs+rqYa2+1VzDzUNhRJY1SIPq0L0hteugLUJNvJjLIZpYyzy1zbpP2+B0W93U9WHyNpJWzDzc2q4i9BOhQEeYXbqBD8BktFa22CT0d5EVCIijUTUDDNouyGVSv1tzRd+pww+Mx+RSqXmRVE0MwiCEWtei8bGxnEPJwsXv5n8ihHbnBPb3a+DAm6Brf6vhjlnvrF48eLT+vTpcy2Ze+zDzHwMgO4iwmQtGfVJ33xVfVVV54nIIufcDQBWAFgCYw21MHOdWjWs1O8nFpHPybA4bap6MDPfDKMw762qcM7tTUSNcRxPALA6juP7E4nEb9RkwQc3NTV1P/zww2MPeF6hqhcQ0Z8BTIRhVV4JguCYzh+ayWTeTSaTx4tID29c1x+mj9Ks1ipjNRGzPv7vMTOLiDgiuklE/pVIJHYQkT1hlTSIyLnFZGLXCyoKPyzYPfel6Cn4+Lq429D29vZHfLXibU8fPVBVK5xzF6VSqZejKLoQwAFEdEZX7QW/CHiZmQ9MpVIfZbPZHVX1GACjgyAYkclkzieifwVBMDGKoqn5fH6fzlZrFEUvADg5CIL31x537cjlcpUAthLTgBkJa9d943aKVxa+FUCRmY/rxJJsiP8cG5KL9RhRFD1ARDXpdHr09zT+5aq6IgzDm77LOF474kEiuruTmbHWfl5JJpP7FQqFyWs6GXovhu4AzofZK6eTyeRWw4cPfy+bzV6hqnODIHh4rbG2BPC4iOxfX1+/IJfLbauqE2Gl8X5+kuvGzOPb2truHzVqVCGTyZxIRMfDHEivC4LgcfoyF/52AIfC2BCP+xXGCgCfJ5PJfQqFwj4A7gXwAYCZbPLdqwEzOHLOvaqqe7GZhY0F8CYzn5JKpeZNnTq1d3PPykUTKoTzaz0fe3awHNTB80VkC9jEXIBNwL38/2dUdSgzrywWi5OI+eSFDuUzknrnTI0furxQshWAXxYKhTOTySSIqDqO45uJ6B415coyX5Hp5f8bQERDAHQTEfGJQxKWLHSagLXDEoHHVPU9Vf2Qma8EsAlMZ2KGH2ekiDgYy4JgrREQUZsas2M5rL2UYWb4qkSZ/+k9YS2CJIAFZGC7XmraE5vAqgFFv/ruCaBERKY452YSUYWIHARTD82oaugrGkvVWAcryCjFC/3qe6GIHMLM7yQSiftqamoWZrPZyar64zUxR7t9OGsnKF7r6v5OgP580yo+EMADAE5S1YVsmiebL4zF5QAAIABJREFU+2Mu8UmEqupnAB53zj0kIo/5ITb2FYtGInoEwPFqzJIrmpubJ/fp02czmJT5fbBWwxawSkex89qskXwWmDkfx/FsZt4KVik5Kp1OP5PL5YbEcfwKmZz6bsw88dzS0gtrqe3PraQHLWN8uIj10YEFuuncVmogotJEIjF6+PDh7/k2xnXpdPqgNX97JpMZCeBpMk8fpFKpXbLZ7DEA7iWiN2CVtuVq2hhLfRUtCdPNqFTViqYkye3lcRnWEfu0xtvvG5dcHQTB7p2f5XK5H4rINbAE+IzKysq3Vq9evcQ5N6Surm5hV+P4RccVs2fP3qu2tvYi2Dvhx2EY7pPJZC4lomwQBE9GUXSVqk7vNC+LougIAGEQBBev6xi/Lv7bdoqvSF9AROeoamN7e/uPt91228/2mTu3tC3Z8gsAowFtA/E/pmwW/gUbwKAANiQX6y18qW+Bqo7vNM5a3+Gpma+JyMH19fULvstY3q77FjKk+ZfaJFEUTWtubt6xurr6rSAIRs2dO7d7W1vbnWTmVrkwDE+PoujuZYTNPk7o0AdKij+9ui05oU9F5TZrPpS+PPo8Ef08juN5zHwmDGNRSkT3A9ilZ8+e2y5fvnySc+4XRNThS9inqupFQRBMWLuE6ZkrW8PYGARggIjUwEBx9wKYRESXqOoiIvplOp1+Zs3vZzKZ+wFsE4Zh2vd4B6mJZR2STCajYrH4d1Xdfgmk4Y1SGrGAVXsAOrJA+WEd+qoHxjERbQ3gczJPjSoimqdWZk8CcEsYyYdKY3p/DZHxzYUWj22lD/oo9SOiZ1R1sJ/oH4UBFdU5t3kcxzsR0S4i0sv+GU+QWWlvu5yw5WslUjffYcVqaDSmwKU7FnmUGuhRyXwpjF5rCp0C83ZI+CRiGEwoSlX1YueciMguAEaKyIVrtrT035iPu1X1fmYOmPmSYrE4GMDFngHBqvpbZh6pqvsSUauqRqr6EpmHRA9VHUREe6pqLzIflEoi+hC2Gl8Bkx9P+EmuG5mmxXJfCUqoaic1dBl5+ukj5VoxLalBV/d2NyC+ZpXrZNd87pOWahG5LgzDCZlM5l3n3OhisXgGM18KYHE6nR42b968ZHt7+7VEVF0oFC5PJpM/V9WjYNiYRcxcAuDMurq6Rz/44IOSlpaW12DMkmYRGZRIJA4tFouvk7WNYlVdQEQ9APQik+BWfz2YiBoAdC8pKTkqn89fQ0QftqvU/aZKB6wkfEmHRYFPL2tJLOinaBATADsMZnj3aTqdfmCNe/swMj+NlSJyETP/hIjeTqVSD+ZyuVZVFQ/4fdYnqp/BaKk3ENHpRHQGgPsfLylOnlKCE7s6twBwfqtrHhDjT83NzWePGTOmuMb+AyJ6hIhK4zg+lZn/oKp/CcPw/HWNlclkfs3MTkR2IqI/ABgVBMF5XkBuWhAEz2YymV2I6CdBEJwKGKtIvoNi59rRRTtlW9h9+CbWaKfMmjWrR0lJyf0isvcSxp8v7xbvAAMUfxGq+nS/LeYePImsvfd/OTYkF+spfI/4rwB2/Sbluu+wn12J6PQgCA5dH+P5NskZqjo2DMMIAKIomhEEwcgoiqYx8xlxHN/BzNcuXrz48erq6ul/aW4e9e5mPa9rcTg9BjkAKAFWdxCNnbJ5/ePAFxiPlwC8DhO2qiNTWMyr6l5hGM7v3E82m31VRF4kooNFZBIR7RSG4T5rH2sURT8AcBEz7yciTxDR9qr6gapqGIZhNpudo6qDAEyJ43hsWVmZdnR0lDnnymECRgNU9XYielFEZhDRmTBGQZkaKLLET/YdsDKygz0jK2AT9xKYoNFUEWn3VYKdYKu1PjC0fasCt4zvJslP+KsLmM2EVpzbwm+T2WH3Z+bxIpIiohH+2Lv5ybAERimcBavw9P/AYcDt5fHmbWs9tekifXxSG3eHGYUtI8MGbAyjbH4KSyQUJpA1VE1m/JxUKnWjr2LdAeAjVT0TAEpKSsoLhcIeqnoWM7+vqoMBnK6qWzPzyWqaGEyGpXhDREaS4THuJRNB2wa2sl/lE4OVRPS+qnZXUywtI1P27BCTD+8NY650Jj/v+6oCwVor3cmYKMuZGSIycFKp4NUS7dnVPV0G4LpVTsjAgHeJyBxmzgM4QFWr1YDI1wdBMDWKosgnIStKSkoOrKmpaY6i6BgAZwE4hoiuiOP4xmQyOSyO49PUMC3LYVWhNiKapsYw6AbDLwwgomMAjAOQJlMkHUjWLrvbVy928udF1Rx1WwGU/DMZL3mmDF0KvNUVafbphZJTisXiHaq6mIgGl5SUjKipqWluaGgYRES3M/NHpaWl53Z0dAxQ1etLS0t/0t7e/mqxWDw1kUhMhoFWmwE8DGBPAO8mEomHC4XCw0Q0HKaPcU+Di3e4q0zO7Oo4SJG/bjV9VkbuMTWBqwdF5J7OxUkul9tYRJ6BaYa8CaCfc+6ourq6D7saT1U5m83+A0b9vZuIFgdB8FA2m71GVV8KguAFj8eYHgTBVp3fy2Qy44loWhAET3Q17ncNr3g8SkS2I8NXDYKp1U4D8Nn95XrBzKQO7uq7BD168hYjvrMNw//22JBcrKfwzIcjgiDY8n9gXw8T0WNrr8q/bfgJ5gEAfwqC4JZOu+5sNpuDmS8dGYbhfL/v2yeUFjuaSmhcF0PFIwv40U/bXRrA+WR6B51grv1FJMHMV68hsPOuiDxGRL8GcHZzc/M9ffr0Ga+qDaWlpS/GcdwLlhT0AlCnqqe9l8SMj1jHFEHFmqJWDIop71e8zMxlavS/eTAA5zKysn87bHVcDyuDTvUVh8GwdsBnqpqCVT22KxaLeyQSiUl+n08R0SHMvK+InAdgJwAfiZmDnSciPywrKyvv6Oj4u6p+SET7zmf55KZu2uni+ZX4davLVhd1uE9kYtgkw35i/gTAZmw6Ho0Alqpqm3NuwM1lxbPmrsNB9KxWxuCYirDECGQtlrdgOg+V9hFtrqo94H06yABqbbCk5CM1VoODCUm1qbVINoWJYr0HAwHuCsNhgEzgazmABhF5mAzdT6qaBnAUEa0mo0I+7l1iC0S0t6reCsNgDGbmcQDmicgZqno6M/8xlUqds2bFKpfLbedZDH8jovEi8tHrSR04sVy7VKEdGlPxjFZeSWYwtzMRLQYwHdZeqiGiUbCE8AMAlSLyITPX+d/8FICn2BxmrwKAIAiGd449e/bsHeI4/qOaTkR/WBukFKbI2qKq84MgGJXL5f4mIqFPWsv9dVAyV9XSVatWja2qqroCwDh/zUsfqMAmMxLS5fWtUiz87Sq+iJlHFovFmc65iwA0koE3jyWiXwVBMKVz+yiKniSzkh9BROOJaI6IVMBTc5csWbJN3759n1BjZpytqlOY+QT/LLVdWiXvLYfutPZx7NHBqw9sx6dEtJCZJ6jqpqr6cwAvi8h19fX1C3yF9W0iGkREF4vINl/n8pzNZg9R1TuZ+SUA16RSqVmZTOZGInq68zdls9mnyJxU5/nft6WaSOBXFiHfV0RRNJCItlXV0WdUxvsroUv1ZAXue2WLrb6x0dr/r7FB/nv9xaEA/vY/tK+zVfU3nTK+3zXCMGyqrKzcFcDgKIoeAFCSy+WehSWfv+hMLACAiB5ZmuAj1zGUW8r4JRld8BUAF6nqSBE5Qa11EAM4OJvNToqiqFNf4HSbY3FCdXX1NCI6CcBhhUJhvIicpqr7icioWOSMh0vjsltLiwf9tUR6PFsS97mxQsonlMvK2FQQC8w8CEYbHJPP58eo6uVqro2ATYrbENGHRHSbqh5HRE+ruUb2IKJpAHZR1SXe2nkYbMIYCeChOI6vh1UnWu000BUickh9fX1LTU1Ns5pOw4BEIrHLckdfWxJdSdjYr8zzsOSiiYjeIPPqqGEz++oHYKCqdmfm2qLIuPfdulu5cx2EDIi4p3NuO1Vdrar9iei5srKyHQFMUAMiHg9gZnl5eTc1Om0OJlD1JJnfRx0MhPgEEf0FQDkzX6KqO8I0MiIYg+RtMXGp44Ig2CuRSPyZmcthSWWPRCKxcxAEW8VxnFLVxYVC4SGYtPmdzNxKREOI6OQ4jq8QkZvjOP4MwPMACtlsdlomk/lCBdYnh0cR0f2+mlS7vfBTDJq29nlIANgtTy/AWk09YcljRkS2V9XyRCLxCxGpha3iVwGY7vEYbxPRI8w8gpnvAPATMmzIZtlsdmEmk5keRdEzcRwfr6ozVXUIgHZ/P70Po872BFAbRdGnIrKdiDjn3PPMvIKZ/w5gqYj8RFWrKyoqdhaRe5n5JDL5+I06ndm6im7gXkT0G1Xt6Zy7koheAjBEVS9IJpNfSiwAgJmvVNXfEtEpRJQVozk/wsyTiShRXV19YCKROALAlTAw7i/V014BLLmghf+6eRETKw3cCwXmb1+kJ/ZvR5mv3FTFcXyyqh6tqjeK6aT8KYqiB9va2oap6kwR+YuI/EZVh3ksSJchIlsR0e0isnevXr3e88efhE+U/T3wD1Xdu/P/gyB4n4gSuVxuyLrGXd8RBMHHpaWlfxORp8Fw69zQGD3/52NDcrEeorGxcXMYV/+p/4n9BUHwOYA7nXOXrK8xBw0a1B4EwTg1kN1wVX1GVZ/zL8wvIpVKTe1A1+VoAChYebOamd8XkRMA1DLzVNgK+Zo4jptVNS0ikwH8NQzDASIyJwiCUap6DYDf19fX7x8EwbFBEJy6evXqq4noqOmlRNNK0Bf05YVdU0I3e70UkkgkhheLxW3JPCCmlZaWvkVGc2xj5vEArgAwL47jcel0+pk4jjdWwwL0UtUXAQx2zn1ORO9ls9kjYdX12TAWxWIimgBgCEyXYggzP5pIJIqZTGafbDb7NhH1BTCwUChM2FhpnToZALRPUXoSkZKZTRVhVZakqk6YPXt2RRzH2wG4w5fMj1HVE1UVoHXbk+dK8EcAmxDR9XEcn0dEnwG4VUSovb39Q1U9TVXfLRaLTQCWDx06NL969epT1MCIFaq6EzOPDYKgSk16exKAH6hqHzHRorTaRNOLjI0wlJkfAfB6FEXjRORtVR2sqnsGQTCuE8RXX1/fEobh+JKSkn2ZeWQul3vlE5ZVbySlYy7rbUuqqn6sqi87525g5kxjY+PFAA5h5r2iKMpEUZQTkTdh1ZZPAfxDVbcbkQouaXMtY/bNU6G30OfdBS1bxyxnttAbQRG7OOfuTafThzvnDhaRj4monIh6iMhDzrkbAXRvbm7eVcw07gCY5fxW3ozrdFUdpqqJbt269ReRm3174yo1Bs7WZFLiy1W1TVU7yKie8EnmRgDaPZDzWBHZRESOh4m1TSGi7Z1zE5l5mhpD4n4AC4bF66Y6rmY8BAOP/llVN1LVI9Sozh8Wi8WHoyh6cvbs2V9gUESkHcB2qnqFqo4nouGJROJBnyTOI6LfxHGchAGHdySifznnUul0eg8R2aaboPLc9sSev1udeO/mVW7xK1tsteXR7e5xtuSyDMAbAP4JwyacRkSXqepfVPVBZr6UiA4hoqeJ6HIiqmfmrwDHO4OIdmtvb78VQH7JkiWdWj4lWCO5EJHnReQHa331bl/R+t4il8uV5HK5nTKZzKXZbPbF9vb2qcx8ZFWMpnV9h0DfSi7g/7fYkFysh4jj+CA1tP8b/3nr9RPpdPouADtms9n69THe5MmTE1EUXU7W+58H4KdENMzz3r8IItJSYwV0GVsI9aqsrEz78/FhIpE4mYiCOI7vBjDeOefy+fxomMLfR51j+j9P8Ah8AKau2a1bt/eZOXqkNH5lXft8N6kdhUJhAjMPUtVrRWRlEAQjgyA4LgzDu1KpVI6ITgeQDMNwci6X6+2cu05NKvkxmIrmy6raBPM3uMGX+4sw74ReAMYy8wIYa6IFwMWqOo2I7lXV2cz8U1hrYVz/IjYeEneNGN8ypk96gj9R1ZdhGgWfkIl8bQfg4tra2hXMPB3AOUS0t9+fMPB+zxjr9FToIXgZQN4591s28bE+AH4JYHtV/Ssz/w0mpbwfgCXTp0+vqKqqelLNz+IDX7r/DADCMFwWx/EmsEkXIhIDmKGqN8OErpr9eTnET9w/ZOarROT2danI1tTUNI+r0JvOqSzS7yqk/6NlutMtFfFOd+iKTxc4jCVTeiyvq6ubAeB3ah4iPWD6EAVVXSkiJwVBMK6+vn4RANyzskewTwfjihZecHVr4raxrdS+ufBAVT0yjuO7stnsjnV1dQvDMByfTqe3FpFb/TVKAehbXV39IkwG/XkyyvB2URSNS6VSz6vqhQDaWltbH1HViWpur5NhVZudAbxNRI/CqmadbZICM98hIk/AdE16kynAJgGATMZ9e1ii1E2NKbU5gEtVtd82BXqnJv5q1aufIt6uGF9HRFsw8+/IWB53hmE4OJlMHqSqvwTQq1gsvhRF0dxsNvsWzDH3LmY+1g/zZrFYPA/mzPosgE1EZAHMjfUZEenI5/OlgCWEzrk/wNqLGyeIqqIoGqiqp8VxfLCaj0sNEW2aTqcDIroCwKcwKfJ7/PtjPoDdfKXmIVUNc7ncb9f+bZ4q6hKJRG8ieg3AflEU7YC1kov6+vp/EdHmc+fO/SJxZ9O32W/69OnJtcf9tjF58uREJpMZmclkzo+i6BkRmSbmVPy5qo4NgmCkqr5zZpsbXWpVzLVjBtDjj+vreP43x4bkYj0EER1JRLPWlrP9nvcpvm1ws2rXffhvGjNnztyib9++LwNAOp3eh4hWV1ZW7qqq5SJyrn8BfBHdwV1SYZMK7N7BfVavXv1XAEnn3BXFYvEvcRxXJRKJtKrunk6nLxg1atQK/zL/vPO7DQ0NgwBoKpWaN2vWrGFRFD0rIpcR0QupVOpgMVxAl9GmwiJyQSqVui4Igr8R0ftrlmFzuVxKRHoAmNjQ0DBERP5BRHOZ+R4YzfBlGKgzrSYfXUFE5cw8g4iSRPRTAENEZJhz7glmXqGqf1TVTUTk2iAIjieiWQAGMPPTqipj2+jjIKbla1wYrS/S56e08UYwDYr+MN+MXiLyGRmNcYlvl/QBUKOqvdUkrS9zzv1cmY9j6FdeaKOKnP95Kz0oIgkRuSeO4zIAbzFzDyIaQEQ1IvIuMzf5Ce6HpaWlTaoaVlRUDGfmJ31p+4Eoik5+K4omM/ONAJLMPJ+IXiCi3xDRmcx8qao+DgBE9Aoz7w7gz6o6ipnvjaKoIYqiZ7zL5XG5XC7VeX/GLA+3G2bli1jE6HV/mWyfl0I9gH3VBM+2g0267UT0lJgK6nLn3J1rJtMichuMeXGxiBwN4GlVLS0UCq960O8N2Wx2b3+sEobhi76asacam6WGmZ9Qc3ZVIjoWwFlRFP2TiE4lohNgRm85IhpWWlo6kogCEblaVT9T1YWw1tXvYElgrKrbAniBiH4HYwC1wSTFF6mZnT0H4HAAF5MZ2G0Oq+pNTwD9Tm3ljiPbedmoAsmIIuHH7VQ8fxXzQa2JrJgbbwFAg6oek8vljorjeDCATD6f30uN2VIA0JcMx9SiqrsCuAvAICI6QEQGAvi9qpIavmL+ypUrfwLgF4lE4smGhoZ+AFAsFk8AcDuAD30S9E8AVZWVlQvLy8uPgqdLZ7PZ+xYvXvxcGIZ7iLnR/g3Az9Q8R8oKhcKJMBGxBSJyYSaT+VK1NY7jXVT1tUQiEYhIBsAxwP9j70/j5Cir9nH8uk51T88kk5CQBAj7TpLu6gkxIIR9FUQWBUFQFhVQQUBRkVUWkVV2UEARBEENICCrgIQdgUAyXd2TDZPIThZIMpPMdHfd5/xenBoNmKj4/L+Pz+dvzhuYdNfSVXfVfe5zrgXXwQGyH2WCPNfb2/tXmn+xWGyY2SOtra37ffSZ+Ffjo8nEsGHDXiJ5EoAPROT4OI637F+kNJvNvgz7cdYIxV1nLI0m79xkGKp8E8AkEKfCVtv+yY+pCvr/r7EK0Pk/jClTpgyJomgKgPPK5fLN/9vHr1arl5lZVxzHN/0729dqtYNU9YyMjvqnjOb1VBzH2yZJ8lm61PNGAL4Sx3Glf7urp3fOfriAdXvpEshrGsNODV6/fR1fp+s/zCa5HslnSB79Ua57kiQnmFlPHMe3VKvVl+Evry5462EPuHDQASLyqWKx2NhpztSLSZyyot/wiZS9X6nnnshenK/TBZqGkvxSsVjsSZLkZ2b2iSiKrlbVb4rIEeaeJHlVnQtgQ7gY1IDs3IfAZahPDyHMz37DEgDXlEqlc7PJZwcRGRdC+BW8fTKB5FB6dtDvadGyjLCFtAUDg944THKvmdnR5kqdh5HspwPOg+tSrEtySZZsbG5mi0jOhrc73gXQ8gFts8dbrGVOZMsKxiVtar/4bG7wxSOWLq2YU2pHZBPnjuYt/N+q6owoirY2s11I9sBX7wUAg7NVZ3ufWf43bXrQtAjbLaWxzaCjTF48bCmabZQHzewsM3ua5HBzL5FvmVloa2vbdrPNNqsvfz8y5c2xdKfOsQA2eE/s1fMH6lErG4cn9cr8DfvCwblc7hIzG0lyLlxT5Z7W1tYL6/X6Z0IInxKXFv/AzKYAOAfAOyGE86IouhjA6/BER8vl8uWZX8R9AK4qlUp3r+AcrzSzq0meAU96ZqkbgF1rZteS7AXwuIg8C+AwVd0YwBIAa9H9QqYDGEs3wsvD3WjrpVJph2q1ejaAz2Rj61gAV6Rpen4+nz9FXUTsk3BmEMxsd5Lri8juWSKl5m6zIUt2+3v4j5r7sFwrIvuYY1HeIzkyS1ZHwpOcBhw380d422Inkn9S1Z2yz7uz8x9Jp1teFEJ4MZfLlVT13NbW1n36+vqertfrEwqFwit0unpnxhzaGcAPVLVLRO6BV0E2rtfrR/TTQmu12qmqOprkBFVdjc6oOZ3k9XCzupkkPxfH8bQkSS4VkT+q6ifNrLNcLt+bATyvBLDz8sy7zPBvm+XdpiuVysYArvtXgZ39pm8Adie5vX3YYfaRYrH4+oq2q9Vqe4UQLgEAkj81FyTbycwOzufzq48aNar7Xzn+f1OsSi7+h5HR1s7N5/M79Gv+/29Gv5qhqu7dXy7+VyKjil5EcmSz2Tx2yy23XJTtb7VCoXBPHMe71mq17VX1IFX9Kclfkvx1HMdXAUCSJNcHovS6cMEg1Z2GKd4UkXlmtiV8xTE4m6ivGjhw4I8+qvGfCeM8Z2ZPA/iDiKwPB9jdKCKPhxBuS9P0U+PGjZsPADu/2bluoWmv1YkP4RlyQPq9pdKzjkliZnNV9ZZcLteuqjeSnAlgsJmtD5eoXqiqd9Atuw8FsNC8tbEOyU1UdR6AP5A8BsDDcRx/rlKp7ATgCRGZF0I4lt5DbgGwuZn10umrkZn1qOrzIrJ3NimcZGZXi8hD5myX9bKJeQG93F+Dr3rbAcxI0/TbbW1tb6Vp+iJc0GiZOWXyLjO7g870OBsuafw+yefMaY8bm7NCXoe70m5qZq0iMi+bKA8xp0p+BV4pWWpuBd+Ty+U+E0I4yswO+FWrrvli3v6uvDwq8N3jl0kbnGZ5YhzHj1Sr1U8AOI7kdFVNy+Xy5f9svH1+bmXb+dDnV/b5l3tlybiUgwHU6QDJ/mR0pJmNhJfZVyf5mKpOADBaRIJ5+2pQ9v1HQgjToyj6jqqemt2HeraKfwzAXQCQy+WWpGkaSD6Qy+V2UNW8mT0CrzRs78MKfebsnxF08Oo1dP2KH5hjinJm1jBnejTpOIyp6t4vC+DJ9VskI1U9xMwWk+wRkRdDCKcCuElE9gTwZ1XdieTPReSGNE1bxbU3hgPYzlwXI2RjrikibxaLxY0zRdw74jjeGXBHUTO70cwO7O7uXrDaaqudT3KbZrN5ay6Xu9zMIhGZCwcQt5vZWnRNkrZsLA4kOcBcun0gHN/xZQB/FNeTea1UKu2eHfciuPbHrQC+8VSLTXkxp4e8GUENmL9dU9JdVI7ZbfPi5CRJdhOR01V1HF3bZAi8ZVT/QFB7qNXGvZzDvMGGtVPgwXoUvvPY+uPeTpJkNoCfx3F8Qf8YyZRLH43jeNvlx06SJI+KC+W99tFxtbyDLMntVHXT/mQil8v9YWUU2f7I3q8XmsvijzSz06MoelVVH8nu6eZxHI/8R/v4b41VycX/MCqVyr0iskGpVNryn3/7/01kFYb9SqXSvwRuytoEN8P9PK76yGdrqepNcRzvU6lURonIWaVS6Ytz5sxp7enpudjM1m40GkcXCoU7AKyRrZQXw18abXBzsT3M7EEze4bkt+hund8tl8sPLXfOPxORn8DbAvcBmFGv13cbOHBgrtlsPhZF0eH9lvX94mHvim34u4IW5uTYbmaytmLBNg1ctm1Tzh88ePB6S5cu3URVvw+fnHtF5IMQwhi6S2iaTRZ5czXJ9QHs12w2a/l8/nYAOzabzYPz+fxtdAptj7pvwjh4z3wZPPl52Nz2/FQ4CHM+ndK5GYD74avVfLbK341uXLUbvAU5GK7keQvJe8aMGfM8Sa3Vattn4mGbiMgmZmYkT25vb79l6dKlewA4HJ40FNM0/XY+nz8JwGRzts2aAL5Jsk1Vz6T7RuSyVW2O5Az4irqqqpNJluBl+R4z24xk1EPI6e0hvzKqwhk9Mnn3Yrw1M2xMJvfc097efntPT8+LZrbzP3Ps3fntycOtkXuPK2nFfmdZ9MaGAU9nk95QM7th4cKFdwwbNizf2tq6Qb1eP5vkbmb2ZFYZiknONbNtRCRV1WkicqW6hPqBIvJWCGEGANC9Ub6QTfbvqurQbIxsStfnQNYiyJNcCk9IA0nCDd7qAIaZ62zkzWyYmS3JqisleKVgCXzSJMkZdMrpgQAeNFcDPSZ7RiaLSFVVv0DyFFWdQXI0yVPNrexHkNwQLhoWwStPf46i6Cxzy3eQvFudwn2Eqp4dRVGbmV0VQth/7NixbwEu6lepVH5C8hiSdZJ/LJVK+02aNCk3YsSImpltLCLbZbTal0neJiJrm9ucn0BvPa4nAAAgAElEQVRvzzVIDssqYIvgQNBpZjZHVQeS3O/5gjV/W7DiR8cOgScmbdCxe79aZVYpOo/kQQDqi4n0RwPStmXEh2T2DZjHHD9x7aLoZ2Y2QkSOKRaLU/o/T5JkkqoesvxCKhMP2zKO49M/mkyYewxVVfXxfyWZWD4qlcq2JK/JKoGfEpGjMprsnQBuJ3kHgGvjOF5hRfW/PVYlF/+DmDVrVqG3t3eaiNxWKpXO/k+eS9YLvPofad+bGZMkOYbkESGEr4wdO3bmR7/T2dm5kYj8OI7jA6dNmzYsTdM74jj+KwUsK1meCfezGAn3W9gCDvhbPYqiI7LEYlYcx9tmicwt5kqObwM4saOjY061Wn3EvL8+ysxGqeqENE3ntLa2PmxmV/Qbv02bNm1Ys9l8meR8unHTEjPbFeR4mNUybv6zABbR7cVXh4PL1gCwgYhICOH9RqOxGYBmPp8/UEQuUFWKSL8o1nA4vXQh3NjtRXHTpesANERkANwL4g4RWQPAWllZ+BvZZZkBn2CK2USSI/myugDPNPiksiHcan7zFd2bzIvhTDorYRnJRj6f33XUqFFvZ623mXAr8FYAHSS/par305U+3xGRceaS1b3mYlWB5DAR6VZ3xVyiqneKyBaqOpjkiyS/amaYHRmvGKArpTVv04dTLxo19uLlxsBEVf1BuVyeXq1WjzazDeM4/ofMpc7Ozm2uG4TbZ8rfCw8NC3jj7o07NjDf93Ui0mPuWrq7mV1cLpfvzESN3jKzRX+JsHgetfBOTs7btw+30HVKFonIA319fRcWCoXhdNnuH6nqGLo9d2ze3nsTwG0i0mVmMcm1zYWx5gIYEkI4N4qiSwC8HEK4U9wsbku4sNc6ZrYEwLskzyZ5iZltKCJLQwgD4VUXAfBSFEVXquqNqnoRycOy8bixeavrDTNrAbBMRJ7MLsP6ZrYX/qZLouaOsAHAXBHpUdVx+Ns7u5klyfks6XtDVRfTBbkGkhxlZiYiU81sS1U1kr8zsw+yRKeX5By45fo3Qwin53K5+apaIPltEZkRQuilA4ALAC6DP+ej4JWNBWa26Mx23XqJrBgPdVhd7tmmjhdF5B0AH6jq2+qGeU/d2Wb6TN7WXtF2LWY/vawnt1k+nz+t2WzekM/nd+5vO2TOynPL5fIdgFcmtthii/EicjeAPwEYTbKmqo+HEB7NaOUfKyZPnpwvFApnANgWwD1mdpSZHdTR0fFmpVL5tIh8EcDvzOz2EEJ5Re/RVbEK0Pk/it7e3t0ALCP5/1MH1H8nSJ6oqpcuj6ZePmbMmDE8SZJ7SRZbW1t3W9kDISKtcIAZRo0a9QEcuPXXyHrXL8KFllYDMIrk21mp8kFVnRhC2I5ksVqtfqpYLNbq9foEkveLyPpRFN2bJMk95q6Wz0VRdA7JxtixY2e2tLRcp6r39icWSZKMTtN0pogkLS0tRwLYFcB4EVmPLpo1Av7S61GntkYAdjCzr5j3bPOqGkgOa21tndrS0jJNRK4nmYjIDHNjqOvhVND36RiIXgCbmNlpdPriIABU1VtF5Hh4a2G8iBxP16W4FkCkqheZW7i3m1mbmU0A8IqI3AFnnSwm2VWr1XbFRyJJknMAnEbydnOVywNIzk7TdFq1Wj0ml8s9SfKNcrm8t5mdDu+9bwzvqRvJ9VX1tVwud0y2oh5Kcgi8TfAegN+oaruIFM1sZ5Jbmdnx8Ansj6D8/h+Nra1Vvpi1/wAAZrZ5HMczAKCrq+tmAHtNnTp1hcqSGWDu+1EUXXIQ2w7cusmFy/No1jK++J3eaEitq2t7klYqlY4PIQwxs251x9vdq9XqS2mavvguwtTT2sOCHw8IpVvbbLPH8uG2yweovB7hOTO7Q1V3KhQKb5vZU6q6LpztMltELi6VSp+YPn36MJJ/EpGh5q6vB5nZ3iGEg0ql0qGquqaIfMPMfqCqu7S2tr5mZvuKyH10FVGSbBeR9c3bXofCgcD9CcGcXC73JTPbudlsRnARt2PMLQFG04GhSnJkuVwuA6gAeGP+/PlnqmongLeyyf8UAJPpir83ABih7gvzPtyv5E2SC+iKtwwh/Aje8slnidCYEMI9qrplCOGErKozmV5J28LMFgJ4zsxGmtkCAHOiKDpa3Y7+8wDmZBWvLemg05Rk//8vhAvSDW3QOlaWWADAYsclfV1VzzXHsDwgIs+SHDRnJWJwADDS5AgAoxuNRo+ZXdNoNK7p/4zkYwAOS5LkpGq1OnH06NGVKIq+A6BK8ok4joulUungcrl847+TWNRqtWKhUHjKvOX5MMn9Wlpa9ujo6Hhz+vTpg0heEEL4tpmdQrJ7VWKx8liVXPwPQkQOIDlgzJgxk//T51IsFl8n+du+vr7vfvSzJEl2bjQaj5P8WRzHJ30UgLd8qGobsuSCXu7/kFhMkiRlAF8y7wU3AKSq2jt58uQ8ya0BLOvo6JhhZt8ys1sBYPz48c04js8B8NOs5zkGAEIIPSGEQ0l2VavVU0hKuVy+dvr06WtXKpXzSL4Kf+GOaDabT5jZn+F+FPPgveNTVXUIyT4R2VpVB5rZHJL30gWHFgFYZGZfB3APvH9/A4AnSd4F77Hvmq0OW9I0nUPyTTiSX/0SsBW+UvuumeXNbH8ze7pUKg1Ut/5eE8BiEbmF5GZwmmof3Op8UAhhIziA7odm9pa6qNBfX6xJklwC4FuqeqGZDS6VSmfFcVwplUqfVtXTAVxrrrkwceLEiRHJreButOc0Go1Pwl/0sYiMzuzMHzWzG+hKm0OzBGwsvR20dbZi7qFrVbwOoLBRwBojA1bYFTGz2YMKjR0AfLZarV5Uq9U2JTk3Wy0js0j/URRFf2ci1dnZudHw4cMfI9kWQjhyZE/9xi/1ctBly3KN7/ZG08/rkUt+s1HHNu1qP1LV+7q6urYhadOnT/8GyTEkv6iqt6jqIJJLbh6AuIf4UPtxbmS8aYDujih6K4qio7u7u4cDOI9kn6pu1dbW9vuMiqwHH3xwEJFfAjiU5E8zEamejo6OtwEgiqKnAUwolUpPichP6vX6dSSfMrO74jheF65Q+ro5ZmUrkk/DW2b9vi4zm83mJVEUfSAi94UQ3hSRCf3tQFV9D45dkWq1emcURd8EcPjw4cMrJNvq9fq4KIq+oKpfIzkK7kabkDwZnqg8AU9U1zazQXC2VYii6FQAR4vI5gD+oKrHR1FkURT9XkR+IiLrqeoDqtoCT9CnwsHTA8zsSLr42iZ0VtQOALZI0/QQERlsrhxbgFO0tyI5iuQaAJoROAt/z+j4a8zJ4Y6urq5NzVlYY3O5XAnANgA6WpUtK9vudcEL8Gfm5yKyj4hsXKlUflGtVicCuJkOxOwLIXy/P5kw9yP6t1kjWVX3JFW9OYRwvIhsDGD0/Pnz9+uvmqRpeoGZXdlsNutw9d6H/vFe/7tjVXLxb4Y5lWsXAM9mE9F/PObPn385gH0yJ1JMnDgxyrQrzgwh7BPH8T9VEI2iqI0u7vShqNVq61er1RvgEsx1kq+T3BnA2yQ3LhQKt5nZ3QCmdnZ2bhPH8S8ALEmS5Pzp06evnSTJrQA+nabpVvCJPsBVFw8zszVU9RtmNjJJkqnNZvMxkt83s7ujKLo0O6Zm57U+vPQp5iZDA0MIb5JsxnEcw5UZ1wshfJXknwCsHkXRXWa2ZRRFR5F8W1VPy1bwN13Tmv76noIO/nWrLpnagi1UdR2S15tLWOfN7L0QgpJ8Joqi1+GYiS1rtdpiAJ9RN1w6F8DO8PZKge7nkQsh3EH30Higq6vrGjjF8rUkSfYHgGq1ejmcAniSiOzR2tp6ZP9YevXVV0cAONzMJgFYICLrjR49+gUAh6Rp+uqcOXNaC4XCr+DJUwOOBTkVXkkalyV/eXPA4Zp0QGA7XbzrAwBVEdmnXC7vLcCtR/VJ9wDwreXv+QgTPWVZtO7I3tZL8/n8udlq/05VfWX578VxfA+AYqVS+auJU7VaPUJEJqZpegHdS+QxeJIzu8Xw7AYpJg81bgAA5XL5YgC/DSHcU6vVdisWi9umafqMiJwkIk+ISMubCEvfkhWLt70PW31GZPuJyLsTJkzoLZfLN6pqB4DV+vr6Xq1UKsdOmTJluyRJHjWzE9I03UNVf5am6bkAZlWr1VEAkKZpCmBBV1fXmuoGYXsC2KffvyKO4/foTJUdxLVEBpGEuqS4mdkykhup6jBVXSIi7fPmzVMA6OzsHEgyBnCTqk4IIexkrvSZmhlE5JmWlpb1ADSjKLrCzIaT3ALAXmY2xMzGmau2vkOXWR9oZsMBwMxazWx1VU1FZG8ROTv7bie8ZdQqIkdn1SyKyA4ADjUXzNvUHH/RR5frfh3OALk++28je+5Oi6KoRPIMM3sFQHcOXDAy4K/qvcsHifTzfTh09OjR00ieLyKbjh49emEURfMAHLB54ErB52sFexWuJ/KOuZnYxvTWUlIsFmMze4jkCx0dHX/VfclUhOXfUezs6uraoFarPUZ3+N03iqJLzKxWKpW+1m/MVqvVtlbVMXEc/7JQKBwJryDd/nGP9d8Uq5KLfzO6urq2ptP6/rckv/9p7LLLLqmIfIvkNUmSrDd69OjHAKCrq+tT/UCvfxYhhNasNQAAaADh1SS53sx+BX9ZDTezeVEUfb5UKnXCZaItK7kqgGuiKDoBAKIo+iyAU5rN5kOqep+ZndvS0jIe7hdCkvtkk2CRZHc2eQ+ES2+/BWBNVd3ezPZT1etCCDdlpeKlZtaI4/gkklfT+9zzqtXqnSLSDCEcHkXRL8zsdTN7UV3U6IFisXhnHMdXkXy5CZSvbdPRM/O89o95lefztvbNbTbi+gG2evC+tsF1J34tIkqybO602gXg9mKxOABuzkUzOxjAbXR2TMG8t98Qkc+RPL61tfWKbIV/Jd1v46xarXYTgCNCCJ9L0/TEZrN5SH9FqbOzc418Pv8AyYsBrCkil5vZyN7e3v3gSqK39fT0zIJjL1oBXA6gUi6Xb+nu7j7YXOl0EYDxAErmbZplJJ+HV1beI7lBCCFJkuTPqrrPOiY//8ESHruFRkfvX5eFx/TKsu8ti766gcnDZrZbmqZP0kv86wE4IUmSL02ePHlA/zjJwKTnvvrqqyOSJLkHwG4kn46i6OIsCRxM8i0zu9zMnjazOQDiSqVybJIkV8EBq22q+qCqfjOKon0AvGZmT4UQfjyxpXnlPxq3f5bwl2az+USSJCdNnDgx6ujoWCoip5GskPxeFEUPAni0WCweMnbs2JlZQvN8NtZ2BwCS28Fddh8g+RMA55M8sP8Y2YJiqDkzaBe478sHdJpyTkSOgWN/ekRkGIDi8OHDO5MkuVVcYyQAOFlEHhX3LtkEzv7pU9W7SF6pqt9Xl8Oer6rbwn1mlpBcQnJtOL6nBcAbdNlwRaajAccL5QFEJD9pZnuaO/XWzWxZVqn6IKNP10muBwcpLzaz/czbO4/GcXxSuVy+2JxG3G1m88zsyuzerG5m95hjet7ZwOSLgw2Ll78XAti+fXxreMCp5hik2Wb23SRJ3ssqixvuUsdVxSZSfCQ2C+z5Xm9uk6xick4cxxtnVaMDVfX4JEk6RcTgwOkPhZn9zNzn5F+OarV6RAjhPpLnhBBuAPCAmV27vLP1pEmTciGEqwEcn1XsjjOz3vb29qc/zrH+22IVoPPfjCRJLjCzA6Mo2rZYLL7/nz6f5SNJkj9kpfQjOjo6nvmY236G5FaXt+uflpj+fKGbM2kEvHRSb7TRhgGtAOI4jt8AgFqt9h1VvTSXy41I0/QH8LbFBnDmxFfhuAyBqz++TQecrW5mm5gD1lrhmIdn4NzzVER2GjNmzKvZ/jfN2Cs7VavV/r7wNwCsFsfxwM7OzjVEpApH9D8Rx/GRr7766oh8Pv80nWI6UVU/JSJ7ZViQ7QEc8niL9dxX0NVXdA0+V2fvLg0xuCrfUJLvmRkHDRrUsWzZsgGq+scFCxZstcsuu6SVSuViuBHaLnDxoD465TQAqIvTJc8zsyfjOO6sVqvPwamT65HcXlVvzuVyh4wZM2ZWdv3XBPB7ETlNVb8E4P44ju/JcBnrkdwSwPqq2gvH+/w6TdPncrnclXQgW0yS2X0Y0C3o+wCWjghoa/NW0CdI/sTMDjcHgPbRbeeXkPyTuST6uQB+ZWZPlUql/ZMkuZneg18G4EKSz6gbYr0Nr0DVzOxZkt+El9pfIrkJyWdVdS+S0wHsICLPhRDGZue3FF6FOlNEXomiqDOEUDezJ7J9V+AqmOPMbOwHYvPPHqgbrYzRctrS6N21FQHexovgPiXrARjfaDT2z+fz80keby5/PVFEpqpqq4gc/Gfqp18oYG7esNl6qTW3SuXZnLf8BsLtt2fA2x6t2bUXODV2KMmh2Wctltnew/EXA82lwg2umTI3TdOf53K5n5tZLYTwjSiKrlLVOSKyTZbMfE/dHG8oye9n5z8ErqOyhpmZiKxlHhCRoKrz6X4gQ6MoOlVVv6eq+9Nppndl1Yo94TiNxWZ2O4BCHMeXViqV3ek25+vD2Udb0c3zfiki65rZHuZttLl0HMiPASygV/9OLZfLsyuVytdScuxdrZr7QDBq3YB1NtLo+rhp28PZUY+a2QnZQuwGOuj6KwD2MLOl1ZwNeC2HfAPoGQzeuVedG0ci+4YQni6Xy+OWv8eVSuWbJMfCAbUnmtnluVzumtGjRy8E/grEfKler2/9z6zYs/fGDSTnhRBOzuVyRVW9EcDRcRx/qM2dJMkZZhbK5fJF2fvoTySnlkql3f/RMf7bY1Xl4t+PTwN47/9SYjFnzpzWbBXYFJGlqpp83H2Y2YhZYnv9BfrgAmJtI2CEpMQ21wzQES9IOLU/sUiSZE1VPRFAM03Tq+jS4bsCGAfgDABK8l0za6NT2B5S1V9kL7T7SDZV9QoAD5PcgxmjIYRwca1WGwMAqnq2iJybnVu/Ot8SAM1Zs2YVcrnc2nDFy3vhL3Xk8/mTzOxpVe1T1SPglZLzsm3vAdC8vyWsFCfTlWMEYBaAzkKhsBlcHvoP3d3dp2T3+6Fhw4Z9CQCiKLqb5PfgOhLLSE4xs1ni5lw9dE+SL5D8epIkz8LR9pvBAZ6/AHD8RxKL++m0xG4zG5m1HCAiVwPYzcw6zOw8ETkuiqJnARydy+UmwsWRCiISALS8K1a9pi2E0weGtksH6qBTB5v8qF1bmn6tvkNyA5J5ETk/K7l/YGafpruYnmJuELbpzJkzhzUajWPoktcNM5sMp+G9A2ANVf09gOtJHglgYwAbk9yLzlY41rxlsyeA10MI15FcXK/Xx3R3d+9AUvP5/J1mNrTZbH5HVe9X1S1FROAGamWSa5CcPFQ5uNRccX9/PZV3RgabD09kR5AcBld6nACg0NLS8gi9LbMDyW56if0aALtf3RpGXDlQB/wpp2OeyWv+jjYbcG67jn+4IGeZ2YEkr8hWsuNJPmxOux5P11Cpm9l8uFz5n0VkUwAXwZPllORiAANIbmtm4xbmo988mQsjJxZ03SkF3g2vShwH1zu53sxUnJ69SVYNCXB1y/VJ3p8lMGqur1AjuU2W3GxsZkMbjcYbpVLpQHPn2+dF5DC4OFwr3P11XbrGy1HPP/98W7lcfjyrjixUIu7Mc/ZTLdZeyePYpj+PH9BbIg0zO8YcwzQ8hPDNcrk8O8PffFXr9e8cVo+WHLdM7tu3j/ceNqp0ibk43EAA3yPZaU4f/qyqnpuN1aaIXBYH+eBzjcgOqcuy/a3wfSFvVtW7xbU1PhTlcvlaOMD8FXMhrrfSNH00SZJbkyQZPX78+CbJR9ra2vZf2bMNAJVKZW8R+QOAm0ql0tdEZE9VvTaKov0/mlh0dXVtBmC/RqNxGQCkafo1AKqqd/6jY6yKVZWLfysyu987ReQ3pVLpkv/0+QBumw7gFmZCV9Vq9QgzGx/H8Yn/yva1Wq09hHA8yeN+MkB1WmQbruh7Q4x3nNfNtegKkmuRbMD1LRaSfAO+6vpNCOGkXC539pgxYy5NkuREAKdk5U3UarXDzOzH6jLc75jZ17Jt34Q7R/5MRC6ACxFtVCqVdgSAJEkmk3w1W2GNVNWz4NURy1ZGZZIzzGyciLypqqup6plZefyuEMIPReQFAO+d164bzadtsqLfuFmgnbCUc0XkpGKx+ECtVjsnhPCKiJwRQji8UCgsbDabj8FL/1cD+Ey2IhudrQ4vBHAmgHwcx0MqlcpZADYRkUHmnhnd5hLffWb2fvabZpH8Qj6f/+YWW2zxVLVafVpVv9psNt/I5/MnRVF0gqoOpeNdFsEZII/n8/nXms3md0l+Cd6nntswq14wUPdZIPZ3zKFPprLk8D550MwepuNdtoKvrJ8yB76+Q3cfPctcK6NB8pdmdjfJO0hOozvCFgEcSPIAc42IFL7CHkZyoLrZWINe0RkAYDqAxQCKcMGvNc1sTZL9OhIpgBHwMn0hq6o0zbVSBgAY1wv03tdmQ56PVDJIrH2iycb4VHYd09AQRdE34O2VaQB2IblmtvKum9lnslbEJ+DVm81nRDb8mrawwupVv212Rsf+A8lfmdl3zewykvvDW04XmtmhdOn29eFmXqvDE8iWLBnIAQhPtFj+9wUvrSwXk05frD9bi7l9M+rqz8zsFRF501wgrR3AWDNbC46XeZnk/mb2GslbzexFc+fb75q3PW4vl8un9u+8Wq1uB+Bxcx2PhXSJ+tHwJGxRdk/HvBVhs1+26hbvyN/qQkMUjf00f/VWvXosHLvzhoi8B+AtVS2Z2W4icreInFAsFqdWq9XHVfV5uqrpVnT677BsDKmZzYyiaIiqPmnur7KkXC7vnVWAv0OyG14hep+uRXLIoEGD1vio+N6UKVOG5HK5SWb2MoB74jh+JEmS3eDaHARwJ4AvxnG810fv6axZswbX6/VL4VWeb4wePXphptny6Xq9fvD48eM/1N4xM1ar1T+Y2dnlcvmF7O+5ABpRFO3+cTQz/htjVeXi34sDSIYQwv8JtHC1Wj2C5K9E5Gv9olilUulWAKNrtdon/9G2kydPHpChpJ+kl8gvfltWbv28zGwDevm9ZmaXqup+ZrbY3Ijp9q6urk2LxeJpInJZCGGPJEl+l6bprQDCFTMqt+zylykX3J5Pz5smuhqAewEcB+Ct7u7ubeM4/oyZ3U/yKrqq4igzW7tarR4xa9aswXCsxSfMLK+q7QDOofed1wbwCQAvhRCeBfDzEML6AHbt6Oi4ycy+Y2YniMhNZvaqmW0Up9xoZb9xbeVikkNU9fpqtTpXVbcyl9Y+WUSuGj169EKSU0VkCtyl8zFzsGN3xlgRc9zKokqlclEcx+cD2FFVP9Xa2ro5gNdEZDqA+Wma7pIxTY4B8Gaz2bygWq12mVlORC5rbW19i+Rp8D56V5qme5hZEkJ4R0R2T9P0TgBDzOx1EZkGIJqR021WlFgAwCs5bX+i0DhJVSeFEL5FZ2S0mtkZZtauqlNU9eBsQke2Mv4KyZfgicFB5oqgVwHYJ5s8e8wM2apYzKwviqKqiJDeSphj7pOyKVwfZaiZzc4S02/R1V/bzXEYP0nTtAMOfp1Dctte2Ft14JkB5LOH9gku6ebMQxry9ZPruU8e1ScL4sDToii6NIRwW6lU2j6O42PiON6U5G5wx9ECnWlxXRRFEkK4WFXvTfK20tJ5q+GgJEnuTtP0LngV5Tx4VeQseOunSgeqLlFVg7OajojjeDt4C2JX81bTormRLbr37xMLANjlR4NlG5Kpqm4Er3CNyybfLZA58NJ9br6UJUqrm9lrIYStzeybpVLpIlWdCdetOH7SpEmt/TunC2BNgRvNjaCDTm+HU1o3hKusjru2LbQun1gAwCJBy++l+a2m63I8GEXR50IIB6nq70Rknoi8QXLNEMKnOjs79zPXDPluNo5WM7OfhBA+a2ZvmivEVkIIr8NZLXPplvGAi5DNBhDFcbydiJxqZm+RLPT09LyWJMnnJk2a9FcL8y233HKRiHwNLre/N0krl8uPl8vl/UXkB/B2yzZdXV3fW367JEkm9PX1PWFmz5ZKpYOTJFlUqVSuBdBRr9c/89HEAgCq1epXAHSVy+UXAKBWq+2cJTDLViUW/zxWVS7+jUiS5CmSI0ql0pj/5HlkmfhPzSyoe4MsXf7zqVOnbh5F0S+mTZu2UwYo/GvUarWWEMJR9D70HT09PVdPmDChN0mSk84ZGL68ULBCt9W1FC+duSw3xsyWwZkZO8KlsG+PouiBYrH4ewDo6uoaGUL4nZldHkRO++HAYO/TPtRDjZtY+tU+mZGX6Nz+7bJtN0jT9Lck12ptbd2+r6/vUjpWQrMVfwvJupkdVyqVbq/VaufA9S0eMrMTRWQZgM5SqXQwAJiZJEkyi+T6JBeZ2aC5kZ51fZudv5T4ECWu3SzsW+ce2zbke/RWQA/JnKquJiI1Va2b2ewoijYxs/YFCxZ0DB8+/AYz2ytbwU4DsDbJO+GAxB9m+xhiZn8EsBGAmXDBrQcBrENyQrPZPDmXy+VJ7gf3oghwgbIW+OT4kJnt2NLScmiapgeo6rEkHzM3vnoSwEZmtmuhUCh9o9C3t8JWanF9cm90zcaB65tZD1xaei8zm21mW9PL8QPgNNzI3FJ8oog8D+DbAF42s0PNLC8iC1X1J3QF1H2z+9JU1YEissjMBqrqGyJyJ50au2uWQLxH11vYzcyMDsjthU+Ci+FU3rbZkW3+u1bLvy4mMGBDJT7bx+6NlO10IarB8FZYEFe9zOPD1MgeOPtiQAghhi+m2uA/LvyiTf/8aqSjsIJoBdIf9+T6zGxA/zmagxhnwaWv38hW6WtmYyPA5bBbzGwfOK5mNTM76vR2/USP4OQVHWewsXHhstyJqnq8qn46n8+HNE0fpdO1m9k1PaxUKv2mUqmMIvlruHbHG6q6s5l9N4QwORNZa5B8Jo7jQ2fMmLxesvUAACAASURBVDG8Xq9PEpGnzewIuNfImvCq0NfotOn3a5EOun6Anb+ysfLNXpk+KsgUkpcUi8WpANDZ2fkFEblSXBm1QHJQlmTWAXxHVf/Qz+To6uraIIRwXy6X+2qz2fw9HRC9Obzq8K0kSWaaU9bPbjQaw/sn+SRJXgEwCcAB2X18SkTuHDNmzHMkrVKpnEny+BVJb1er1aMBHKmuIno3HQM1WlWP7ujoeLNWq7Wr6h0AXs0o8n8XM2bMGN5oNP6wvIBXtVq93cy2J3lHqVQ6bWXXbFV4rKpcfMyYNm3aMPhL48n/5HlUq9Wtent7nwTwQBzHR3w0sQCAsWPHziT5xOjRo4/r/7dJkyblqtXqEar6HMm1W1tbdyiXyxdPmDChFwDMbPD2jb+3fe6P3epczdyiexaAI+FiWm0i8llVva6rq+vwyZMnD8iMyv5M8q0LB4SHP5pYAECSx8AHCjYf/vIA4AlTmqabkVzNzLSvr286gBZVnWneO7Zs4uok+Sbd5KluZs8B2IbkCPiK7/xardZeqVSOrVarnSTXMrOmuZfHfRtb7qbvL5NZ45tcNFyhI4y6XZP40jIc+bVRYyeVy+VPN5vNjeHAxjydCZInuaW4X8cAkvXhw4dfS7JEl0EfRgfXraOqfw4h9JBcBy5qdEf2OzvgIL1XSX6R5NcBDM9wE1cCOJrkQjO7PZvo3wVwt5mNADC80Wj8UVWPp+tWHAAvxx9rzlBZ1mg0njyqV76/svsXAVg74LNmtgNcZOqLZtZOd0+tA1ARmZ8lGwqf3A43s8PhINGDSCL7LkieCfdp6Tazl80dNH+nqoMB5HK53NMkE1V9RVVHwCsXe4cQIjhAdHYul9s+hLCriJxkZvcBGPlmZOtfM0DzfxETA2AE5kSGywdq7m1RVdVhZjYR7tx5g5ldFsdxRxzH40VkgqoeZWbXAXhOVd8yxyr0wPE6S8xs4RbphwXilo8NAqmqy+D6EnPhyU8TQL/uSc7MFpnZPBF511xc6lFz/Mpq8FbMHJKHDTKstErWTdQz0bBCFEXPZuNkY3jSBwBBVRcAQLlcnp4ldtuoa2b0kvzhlltuucjMjqCLvn26s7PzgkajMVlE2s1sXzP7k4iMjeN4mIicQBeO+zKA0xZRV0jv7Y9lRLuZtarqwUmS3FqtVqfSqdpPq2vivGtmx9NlsitmplEUXZwkSa1arU5M0/RTaZqek6bpE/CxfU9WDRterVYvgqv83keyUSgUPiSjHcfxd83sJ2Y2K4TwkKoeW61WK9l2dwGIlhd364/58+ffYmaDoyg6keTRZvYFADNFhNOnT19bVR81s9+sLLEAgEajca2InNufWHR2dg5U1e0BvPt/pWL9fz1WJRcfM5rN5r5wmt9/ZIBZJvZiZleQ/HypVPr1P/p+oVD4EYAjkiRZr1KpfH7YsGEvARiTpukecRyfs9lmmy3p/26lUtkRwNd3a8rr26byLvC3Si6JdDXF1duksj68TFwrlUpDRWRHeNn7B8z8LQqFwnvVanUJHNj5ix7onis7vzk5jg4hfKVSqTxUrVa7+vr6XqR7ELSaG39dCQfQjc8SgzmqujqAzczsxEx74zMkJ5jZ/nTdgY0A/FpV36EzH0abl3eRlZY/Y2bJUOWoI/tkwDnLcu+evTTCF/rEipo7N0mSKUmSvJLP5x8GsAvcFKtpbs2N7LpsYe5Q+ZVsQsmTbDM3ezKS40TkBnPBrF9FUXQsgIOzyXM3AEfA+99dJN+hUyZzZjY7hPANESmr6oMickJWJRoD4E90Ma7ZAC6A4xjaAcz1e8RXAHxQTLFosP29VgkAbJmKtoLPmtmeIYRTSP42juOBpVJpPQD3R1G0jbmDpZnZ6xnnvwmvDA2GT3o/NbNHVHWAmX2qu7t7EN2i/C8kF4vIdvR21fXmLbMrSF5BcjWSD6vqdiSXmtnbJJ8bPXr0C2PHjn1JVedn9/L7Fw3Qu9MVv5/ani6QAA6OomgnOIPmT2Z2abVavT1JkudV9YUoin5AsmhmNVW9l+Q8AG9MmzZt+IIFC0aY2dlbN7hwHZW/u06Rme1bFyE5UES+nrVYLiM5V1yEayLJ38PZHCVzHYbNzCtnW9O9TCRLMrbbQpn76DH6Y8OAgeYU0cfMcRbj6FoTvdn9FRE5oP/75XJ5OtwN9iQROYPkmEqlsj/J9c1xF4OyJO19eOtqWPZcPpMkyRRVPQrA7+CtkREdqRwlK22CAusGrAsX1hpiZj+FVyfeJ/lOS0tL2Vzz4gAAfSSfLZfLN5ZKpYOnTZtWVtWLAayey+VuAJCKyE/MLGdmMwBsoKpDzay1UCi8A3+m9kySZL3lj5+Z4iUicmipVDqqu7t7a1V9heSldF+Ya2fOnDl2+W123nlnBTAvhPCzEMJepVJpHTqg955ms1kzs1/2y4evKCqVyt4AsHw1NaOV1wEMev/9919Y+RVbFf2xqi3yMSOTrt6s0WhsPX78+GX/m8fO6FM3w3v23ysWi41/tk2WjJyVTVJ3ALggjuP3lv/OlClThuTz+YvNbZsXAdg2iqLdTig0CutTDt62YadDosO3rdvPzewpOJXvp2Y2PYqik9I0/SXJLwLYk+RbpVLpl7VabVMzO9DMTv3xAG3/S2QrfMFuHlj/5lIuADCdDsZ8F8DBdM+MuSKiADrM7Ov0tsNpZnYGHAypWY92HBxE9ykzWwpAoyi6KYTwCZIbRFH0y2azeYOIvGBm7SJykZldSnK6maVwBskPspXmnDiO9+g/v8zo6admtlc+n/9kCGHjEMIP6MZIS7OEpw8+yS+DawYMz0rmywDcZN4yKZpz93+pqi9GUXT1X3J84qFcc9e3c2zvNVsQB9rWTTl6i6adSfI6c7DeoQBuNrMOktuYmyi9bs5kOAtefr8CwGS4bfgIkj1vUwfd1mb6hpgA/qCXU/Yd3iehYFgEl61ebGbljo6OpZnb5TVwiuhQADGcpVA318ggvCUyluRgc3Gue81sy0GDBu3TD7zL/HZmZ+DVdjNbICIPmrNP9jaz35PsMLPLoyjaUlW3XrBgwW7Dhw8/E8CEEMKXBw4c2H1M1PMQhNutaMxsGmgnLZOGeSle6Iqhi81sZpqmZ7a0tCycN2/ekkKhkB88ePDZZrZNCOHYKIpuA7Bf//jv6uoa2WtaeThKB1RakNaBwkaBLfs0iLWUDZJ1dS+Mc9TF0jaD+8r8VkTWpWtJrEkHnq4G4BU4dVWziU8BRHXBlB+2htLiyNlMy0X4Sq/M2jLlKACN1tbWPXt7e2+hU3zXgFM52wHk29vbB/df4yRJyiLyK1VdD+7g2kpytqo2SG5Bb+PNM7PnoigaY2Y/qtfrv1v+fTV16tRdRORXJNf+bRsaz+bC3ylmjm1Sv9LLHgADoyh6N4RAku+kabr7ci7K+dbW1rlmNpXkbaVS6TfL7yNJkktI9i5ZsuSiQYMG3bDc9TEzW9PMBojIA9nY+AKAA0ul0ler1erLcRyPX24/5wMYWSqVjmEmNFer1T6pqrdk16rLzG7L5XLPp2l6VRRFM1V1kziO98y23xMOwL1MRA4wszVIXlYsFh8g/yZIn7mgPpfP5/dZ3uU6SZIn4YDjShzHh65oXK6KD8eq5OJjRGZT/iLJN0ul0qf/N4/d2dm5m4hcJiKnFovFR/6VbTIe+3kkEzg6/+cfVemsVqv7mtk5JK/q6+u7r1AozBCRHxSLxRsBIEmSX5jZXs4OxK2lUulUwGmvS5cu/Y2q7k4X+PmiiMwOIdzQj9Su1WrtZnbK7S3hlBdaVgww3KNB3a8u0wE8qaoFEfkEHGz2Ml1bYXNzhcLFIjLCHH0+huSv4KX4beiGUhsCmAPX5XgT3r9/CEBHHMeHZKj0PriuwoshhK2zlegr5j4gIwBMMweTnRXHcaVWq62vqrdm129YqVQ6rP+8kyT5HJ2m2E4Hf4qIaAjhh1EUfd/cj6FuDnQcai7J/aKqftvMopktnHZjqx7U5IefwYGGJaf28M4hkPEkbwwh3JVRcQ+FI+H3hiczi+Gr2xnwMvq2cPrvkcjQ/UaOfTGyy3LEIRsFbDRMMUhEPjCzYI6ZGGCux7EkS6wacBDl82b2ZVUtikgEX632mlu/70KyZmZFujnbvpnewjFRFA3IqIZFkhdmSd94uNLjfmb2Bsn1ROT9EMJkM3s3iqKjzGxploQszRIz/HhAGDBXbIMVjZmOJtKj+6LfkFymro5Zogt0jepPhuB6E0Pg6qbvqSoAtGWVpJfoLaf14BPTyCxJXF1E0qwyNCAbS71wnEbOzN4jOYTk19I0nR1F0ckA9oEzXFoAPAxg5ziO1wSALGF7huQTi0y/9ECrtSQ5sE7j+oH4dJ31LQJTEblBVb9sLun9LjNjM5LD4eJY47Pf8z48mcjBZccfhbfZhgI4s1QqXVOtVp+he8dU4TicZ3K53In9AMRarTY2wxtsSPItAOs2QlgwqZXrTGpR9hAoGBp1weWXdUffajGImQkcJ7MWgPtF5Ixisdi13LMwBZ6InlwqlX7Z/++VSuXLIrJ3sVg8JEsmWK1W54rITQAuDyFMJLm7ubPwSLgY3M4ATgRw2Uet1avV6oVmNrxUKh3Lvzn0dmYVvlx2v/YnOQXAz1X18Fwud5yq7mRmhzebzYPGjRs3P9tuk+w4OwG4ubu7+8YJEyb0ViqVK0hW4zi+qf+4U6dOXSeKosfoLry/juP4thWNy1Xx4ViVXHyMqNVq+5nZ8ap6f8a5/n8ekyZNymWrum2jKDoqwzL8w6jVatur6tkA3jGzczJO+lqq+oiqbtfR0bE0+/tautbAcd3d3YsLhcKD5kSR0xYuXNg5YsSIk83sXLpGxaI4jldkuvXVbOKcC+BzdIvxp+Bl/FYzG/F+hA3PGxCWqpeL/xoROO+cbnIIuFq22grwlsKrWRlzN3NhIpjZGBEpmJfSx5r3z99U1UFRFK2pqjk6I2A3AO+KyM6q+tvW1tZdli1bNkZErjIzpQPl7jKzrZU2I8eobO6rMM3MFqVpemEulzsAPlGcRfKbZvYagJviOP6QKuArSXLT22J7tJBrraXMRYBlL2JT1auazeYZhULhYXiJ/P4MC/AZEbFr2sI7MyL7UAm4P7Zv8oVD+uR5ADtnv/sN85L52yGEi0Xk/lKpNC9JkoPomhgT6RiYX5rZIyKyPRzkOVRVDyX5OQBfAzAWQDCzQjYJv08HWuZI9pjZqwDGkXxJVe8geRuA7mzyOwfANdOmTfv2wQcfHKrVaoeZXQvgLZJl+ETWDWeCHFQul+/LRI2mZfd0SFa5+cCcWkn4BJnPXto9JCVL0lZ7Jq+Lf1tYMdjy872YsmMarQPHqCyNoujhEMKd2djbEL7iL2VJ0KbZb51C96o5XUQOTdOUcCZJPpvYWkUkr6rIKlJ5ehutz7zVIHC9hxYRUVUlHINRN7PfkPwsvIryAoAbSX6QuYr+CK5b8S6AU1taWt7p7eubHnnS1jRv161mZgU4iNayRKgJT/RmwdsSbSRVVd8leSfJ3ZcsWbLdgAED1hORP34gGHhrm82eR9uozdBSDJS96vxgIGWpiBwYQtib5MnmsuBzVfXnIrIzXO/jOnEX1F36YM0BEr1nZpOUPPS5vPHPkTEykwL5q4N6uSNdqbab5DUDBw58rLu7+0n6s71URI4tFotTKpXKjiQvqNfre/ZXTMyrqJWsynSGiHzfHKsSZ8nqNBGZraq7AUjNlWYfj+P41eWSiUsAtMRx/K3s75+p6v1RFN0E4PkQwmG5XG5DVf08HSvUDmDW4sWL995+++27PzqWMuDrV0l+gY6XGl0sFndcvpqRObEeKiLLQgj7Lm/3vipWHquSi48RSZLcBO+THx7H8Z//Xx8vQ1rfCmBSqVQ6j//Ew6Szs3MbETmP5KI0Tc/8qGNftVo9nuRIM5tpZicCOC2O48eyFcUt8NL61iQfN7PjSL5v3h/dJ4Tw87Fj/2a7bWbS1dU1OoTwGbijZx5uzTwLwKR6vf7dQqFwM4CdVPUXM3O2cFKBJ/1FbEgL0LZFoO3Y4IXrKXcWkX1CCLuR/CmAEdkKdyQdrBng/dj5URTdSvK+NE1foov7tJlZI1sVtcO1EkI2aS4zs+MajcbzLS0tVXqb4oaGcMdH8mH/p1rQ3TAdOgzS96kG859sMInIv9Tr9e+2tLQ8A28BHFkulz+YM2dOa09Pz2NxHO8AAJVKZePftupZr+TwxT5BHgAGK/D5hvSObbLFzP4iIpG6T8nLqnoDyc/TvVgmmtni89r1uAWCvytFA8BGyuknL5VlAGaGEG6JoujHZobp06ePPfjgg0Pmc3AxyZmNRuPMfD7/SQDnm9mv4dTOgQCQJQx/BlAhuYc5RXAhXGVxnKoeQ/JFEfmhmX2ejleRbLL//9h78zC5qmpt/F1rn6rq7qTDkIQACSEJhAxdpzpAGGQOMwZQRhVEARkEFFRQhguCyiCDzPNlEESBACJjCASZESRT16lKd8gAgRAIGSDpdLqr6uy1fn+sXdjGoN7ver+f3/exn8dHklSdqjrD3muvd0phhNwCgOVqORZdZE6SzwL4Gkwh0g1gYzKfkm1UdUm4D9ZHCHEL3Yi+MG7OGmZOAWwcuggD1ZwsI5gk8T8BHAKi1fdm/ZbTsxgl0Dr3orZrlZYc0UMbEdF8tWyPW+M4viQoKZ6AqW8uzefznykgyuXyUFU9VFX3ArAzzNiqpkYQBiw+/HYAu5AZvJ1LROt776sBSjlMVfNkipEaGdHy9yJSIPN7mczM+6vqDCKarkb0HAKzbt8j3MMRjE8bwboQVRhRebZzLhuKi9dhO/eBMOoHyIjENbUckByAbhG53Dn3czV7+6unRJI+34hHetbqgg1U+J+sdtxgnZVGAM80NDQcMXLkyEpQQzwlIocx86zwjHkimi0ie3QTKlf3UV7Cn50jwL78q1esjroikffCM7gHjG/RKSInwgr3s4joKiI6oDcE29bWlmfm/8hkMmfWarWnYZ4gP8hkMm/UarX3VfUqMrhxWSgKLwews4hsx8zzRGQqgKlEdCYR9eTz+TOTJLkKwDEi8mNm/lE2m9171KhRy8Izew+A/WAZIDsBeJmZH2ppaXl17WcuwCHFUIhOB3BZHMftAFAqlWaG56ESx/Eua7/3i7Hu8UVx8U8ONTljGxFVemOB/1OjVCodpqrnq+qpdZ31541isRiTsfYbA6Qxa12vmz179siayJtTsn7Bsxkp14hXM2PKDavceFVt8t5f45x7TVXnqeqJzPxY2G1eAGAiM/+6l4X2MCJqF5GEiL4F4GqyDIH7YC3lN1W1BeZVkWHmp2F+CG8S0U4wz4SPiahn9uzZ24bd8FRm/lOapj+CteKTsJhdTkQbqpHBsmTSxXYYmU9VtSmKovvSNN0ewF2qenkoJtpg/heeiB4XkYZr++puC1j7r31uJla5un+Fng0739kAZhYKhV8CphBK0/RNInpeVbd/M0ud9+XSXbDW80Mg/eEaXjlC6DJVPTksnjUiGhl2wcXQPXGX9pGtPlxr4q6P8TVa/a1uOp6Zt1XVmJkne+/7EtFvAVwCw/0vIKKGwDlphfkspMw8NnQmnlPVBXEcnwFY65pMMthfVT9gc+a8nYj+pKoVEbnEOfcdETmOLY6+nrzpmXkRLIFzMIA+QX5YdzLsB5PKDoGpqDpUdRkZFNSHrJWeFYv9XhxgmVFq3a6RInK6c+4JVV0pIoeEwugJGGSRXRTRu/PIj/l9Iy52oFevWUUPeu9/5px7TFVfJKItvfdfjaLou2H3O0ItRvwFWHJlfyJaDsPky1EUfZym6Q2wxbaTTF20kEyhkyGiRaq6e5qmc6Mo2pGIPhWRJwCsT+arsFhV+wCYoarjYXyHT9QM5SgUtsuJqKSqY0VkPhHtByvCFhPR1wGcRUT9yNJFc977HmZ+G8Auag6gq4loN7VQM4J1fgi2m28IxU2qqjVmTu9uFJ7upM+67qVDeggTqrQmk8l8S0Q6nHOfVKvVbmY+UVVXqcmBP2bmU8iMrL7Z0tIy+ZK5yadTs+s+JoFOu76TMzBi9CsAvkxEw2BhZ9MAPAgLfHux9/uSJPm+qlYKhcLtbW1t2zDzW93d3cO2337795MkWU1mJveGqh5IRIPz+fwG9Q1VsVgcAWBvZt5bLZNlPVih1sHM/VpaWnZKkmQigFOy2eyx1Wr1odBR2hzArPb29kdGjx49IcxVYwA85Zz7bd0dt1gsnsPMUUtLyyVrmXI9Bwt5ewfAnEKh8HN8Mf6p8UVx8U+OUqm0s6peAKAUx/HfxJr/q0bgdfxSVTf13p9YJ06tayRJMoaIfqaq6wM4b23r2voI0MppnQ7fvLjRD1pD+Kt2/Bae3v9+t7vGqR5NRD4QniaIyA3MPFVVB6sRCn8H4LVarfby1ltv/S5gC2+tVnuBiH4Tx/GVge09j0z5cEM+n/8REUmpVJrpvZ/MzBvAFo5OGHQyJI7j/m1tbXsR0cVEVGWTem4hIpcSUR62C+4mov2q1erbuVxuPgx6qJMpc7B7eSGAB+pdF1g09XLnXOy9H/52hGtubJJd13WOciC9vJM9iZy3YsWKWwYMGDBTRO5m5t1UdX1m3lxEjlm+fPmLFw3f4EECDl3XcXZIac3Ra2gJWaaDwtrZkRoPgAGsFpHbz18PfTuhZ67rGMetoa5tPDeqmTA9ApOAMoAtYZ2hfuHPmwKYFkXRT0ePHl0qlUqXE9Hbqnq5qq4CMKVQKHwXAIrF4tMA9iCi2WRpsXsA6C8i6r3fyTm3HWzHvjFMbllRg6S2cs6RiPiweHaGz24gi6dfHRbHbUMBtx8zP1GtVk/PZrP3q6lj9iOivKo2wgiKNQAzVfVmIroOwC/IAsKmAXhCVa8BsK0aZEBEdFs+nz930qRJbsyYMW9UKpW9c7ncdFUdEnga65FxLt6H5cEcAOCXuVzu5lGjRi2rn9fAL7pYVTX8zr6wBXIgMx+qqnvAYBJVg0M+JbMxJ7I2+QdqREAhc0pdLCKbhePliGgxM58SunlHkXXP+gNoFJHjWltb7wWAWbNmneOcO42M9zFGVX+rqo+r6tOtra1dM2fOHBZFUQILRvuYrHvkReRmEbktiqLniKh/gBEbLumr2SV1z9K1xjYp/PE90aeq2iMirzJzM4B+ai62n6rqwFDAgJmXqXmxrLqwjxy4gtcN240QeufUFbVR2Wx2JzKIZqaI3OOcy6nqtQDmq6oy8+4tLS2fycyTJPk9M/+kpaVlXrlczorIKgDPt7e3HzxmzJjl4TvdCOBjVf06EZ2Tz+f/JrCura1tV+fc7d77xtAF24SIHhKRp8ggwF2Y+cSWlpZn2trahjPzbXViJ2BzbN++fQ8MhcYQVZ0CYJ+QE/UZSb5UKrUC+J2qDgUwx3t/6rhx4/68rnPyxfjb8YUU9Z8cqvoVNROdp/6nPqNcLrc0Nze/BGBBoVA44vMKi5kzZw4LEsxbROSmOI73/bzColQqtQ4YMOBlItrkgkb/+tqFBQDMd7rZ0zndgUw6uJn3frKI3AmgQ0TuiKLoAFWdm8/nT87n8/fWCwsAiKKoBgBE1NzW1pZXc9hcImbze1SSJO1JkoxR1Qbn3CgAzWSY61WwxT8za9as/dhcKldWKpVjKpXKIAD7MfPGAObBrIpJVR/OZDJTRaRvYMO3qWoCW5B6YJHn54Rd4TCE+1tEOojoh8sd1onhA0AFSktJVhHRZQMHDlwGYGNm/rqan8n5qrqsUChMnTBhQkr6t+ewPj4hzRHRUJifw9swxcjjABarKSZWMvPpP+2kk0b4v5WL7lyjdGtxS0MB0KAmbd0XwI5qUsOyc+7e+r/FcXzImDFjkmKxOBiGzTcz83XMnCVziawvHEOJqCssaAepJZBeSUTZKIrmALgJxpfYCEbei4hoSzLSJGBwU7dapsNlqnqNmqy30TnXCuA9VX2ZiA5R1T0ymcxCmAfLDbCwr02YmZj5UTKC7HZEtEsoOM4FcG4+nz8nn8+/Bisk28l4N82qemq5XF40duzYdlUdmcvlniSiGpkio5GZ20WkU0SOieP4MFX9DhH92HufAcwaP0mSp1T1CLEo9QrMmrpK1hk7DubnMRvWdeuBKRo+gPEoAFjuDhG9qqpLRcSJyEAiqmWz2aFE9LGqvu+9vwqWstqoqhuGe3AVEX27WCxekyTJw8x8HIxgvQBmhf56oVB4qO5VE0XRYQBWNDU1FWBEyR41++1TMplMEUDNe9+FOomU8FmK8dojAyYARQA9zLwgn88fxMyTySzoc7AieSURPaiqK733lznnplcJ65Qyw25szuVy76l5aHwCYDsAB4rIzgDOI6LTw/l6L0mSQ8KzywCGt7S0zAMA7/1uAJYCeGvMmDGXh4KNyOzk+6slsV46Y8aMz8z83nnnnYZSqfRLIjovTdO958yZswURvQngTQDvEdH+MILtBgCOKhaLe/fr1+9DABIyQgAAO+20U3ehUHgojuODmHkvAAcyM6vq1GKxeFJwAwYZDwuwLukQZr4rSZKLZs6c+Xe9Qb4YNr7oXPyTo1gsziAix8zb/TMS0P/qCFkg3xOR41tbW0vrek2SJJsR0fmqOlZVf1YoFKZ+3vFCB+RsGBv61DiO2/d4Z1YRhHhdrx+o9MwFnbQKwM7OuaJY1PklRNRMhod/XVWfq7cpQ3u2UVUdGeO7B9ZqrsJsugeEXfRwMry9AmvvelWtwFrEo0XEERGTkegS2C69HxlBdIGIbEZE/cniqjcDQKqaY3NkHBg+62UAX4EpKNYjIyk2kXEHGOaomE0ijW5vXDdthQBc3Mk9/UAMazm/RkSjAfwGQD0IqwtAn+v6aOc8lo3XdZwv1QhH9fASZj5WRK5R1Z8CWOKca1LVW0XkWWbeV1WrCmxRzoDmk1AG0DFCMjylVM36e1E4h6LGJ6mqKVAI93LywQAAIABJREFUtqh4AJ+o6hJmfldV67kq44noN2ox8I2wfJZILfcko6ofwoqwNmYe7L2v8zMawzEbACwlole893OY+cxwffp77w+HxcY/7r2/OE3Td7LZ7GQi2sU5t2+apqOJ6FAy2MzBgtwyItIE4EYAI+M4nggAxWLxqwB+B2ttf8LMd6nqXJgy4nhYYbYJbHF/RURaiahbDfLx4ZouJguK87BOB6vq/q2tre8kSfIMDHprg8lqF8MCwgaRwWoK4AVVnQrjeizIZrMf1mq13wI4AcCfYJkrZVU9iYiuFpFfE9G1MHXOkHB+V4vIpc65s7z3ZzPzsTDr8g9gHbcPYLBRHzX+y0Z2umkImUvpBFW9OI7jzwrWJEn+BHN5fUZVd4NZgS+GWcBHalkumXAf0CM5Wf1iVtdb1/14TA8v3b5Ga2AF2/CwWFaI6G0ReVNVP2WLil9ARGPDudR7GmT1tIwOXdcxv1ylZfv30HnM/BM16CwTzmc/ALMAJOFabgMrPFaRwXSDCoXCMcBnyo8v5fP5CeVy+T41j5qd8/l8W5IkY2BeHCkRbUhEE73pYG8H8EA+n78+dJIwadIkN3r06CkAhpOF6R0WRdFGaZr+noieDM9Ds6quVtWLqtXqS70TU0ul0rcBjM/n898P6rBDYHyi5WH+ahGROczczMyne++PIqKTALzGzL9qaWl5b13n6IvxRXHxT40QCnYDEa2M4/jwf+Wxp02btl5DQ8N/qmpPZ2fnyXWnzN5jxowZA7PZ7JmquqeqXlkoFP5uIl9bW9uuzHytqk6K4/jKsEDRngvb2tUmqr8ZGdBDv1pFU8lMp3Jq3IlXwoTeA8MgJ6sFBoHN+rdTRCLn3Mthh/wQEaX5fP5HpVLp18x8U0tLy5ulUulVEdmKzSJZAdyTz+fPLRaLNxLRqWot/CVswUhX9tael0qlF1R1ayJ6Kqhb7lHLN2mHYafzVXUxM7eqag8zH+y9byWi24hoofd+6zlz5vS0tLRcuwbynQubfOOaddz1m3qsOKeLrwAwhIjWA3BIWMgY1oVwAD5k5lf/5PyW9zXItmsfgwD8oNutHpHiEwAgooPy+XwbAHR0dDSnafoggA5VbVHVvYgMZgjFF8MSMN9X1R0AfBpF0U5pmvaDeXuU2QLYPlGDS5703v9ZVbdn5oOIaDgzL/feE8xVclOExQemhJgnIkMAtIdFLQfAMXNFzGmxFoq+NWRpnqsAIBQtBLOWLqnh3fNhcuEeWAHwmqpuFXb+I2HQTQFWlK1W414sCefkdZhF9g5kpMztYUVnW1j4NxCRBdVqdfdcLvdHVaVCobCNqnK5XH4AwP6w4uclETlSDbpQNZnolrCOzgIAG5JxGjwRLQAwTURanXN3ichh4R5/o1AofK/3NUyS5B4Y+W8lgO+Ge+xOADfXFQrlcnlPEZlExgNKwveP1fg0rOZu2gSgD5svzShV3YmILoLBIEOIaBcRWUFEr8AIo1cz80Yws7JBsNTQO1R1kIgc7ZzrVtVmNdLj9iKyLQXorYdQvbZJ9IO1ODxDhdt+1EWDWfU5Zt5Hza9EQkHfGH7jiPC9CWYR3s3MJ62Q9JnL+yqtJrNLr4++giUXdLmPmowrcqVz7loYH+dt7/1V4c+3qBGHRxDRUWT22/1gqqQONbOxg4hoZnt7+/HbbbddprOzc1UURT8ZO3bstUmSFFT1R0T0NhGdrQYpLvHeH7k2SV1VqVwu/1xVzyain9RhlCRJjgRwWBzHX5sxY8ammUzmdQBTYYXfR6o61Tk3TUSuTtN097W7xOVyuUVVf6+qg2FW73+YPXv2+UceeaQP9+JEVf0JgE+Z+eKWlpY38cX4q/FFcfFPjGKxeDZZnPiUQqFw97/quEHdcYuqXrqugqG9vb2/9/7Hqrq3ql4ex/HD1EsitfaYNm3aerlc7ucARjDzaWPHjl1ULpe/JCKHE9GeF/XxHy1nrNMtc7cqPX9EhWcS0fcAvNfT05PvXeEnSXK6qq4qFAq/rv/dpEmTXD6fv8R7/11V7SCiZe3t7V8J5Mz91DIWLgHwcKVSObCxsfE2VT1SAxsbwPVEtKmILCGiT2q12u51HXpbW9sQtmTUrwJYFEXRrmmaPqsWN36n935nZi7BdrijyGbNn9Vqtd9ls9mHANwF4GLYQjtbVScA6J4W6fsPN0ihq9edP8gDJ/c4GWjZUgxTR8wHsDmA151zF4nIPWS+G/uqav9XM5I+kdNMvVDpq8DBFf7gSzVqUNX1ieg9spyNQbBJtQKbzPsB+FhEPiUjQXYz88ZhR9kEa19PFzNtehYmKR0qIvsw8+9VdSuYRNWHBaJKREpED3nvD2PmDrWAsOawW05V9VPn3DsiMgoGQZwHgwXWkCkQdgZwDxFNgRlx/Tqfz98Rrvs8InqFiN4RkQkwv4dpURTdKSJPh0X0HZiZ1xZqhMb20ClZqMbV+QRGwMuGgiqFFWxpuARNajHiH5GFn32kRsSshZ10O8yLYggZlwYwvkRDuP4fwXbIHsYFidSC0cpiJlhjVdWp5c7spao7quq1RPQLZt6npaVlRbFY3IDNXC0OCo7JIjKOrDt3KpmK4ojQFfmaqh5KJj8FbB6N1JQkT5E5hh4L81vZCAZ9bKfm5bGhqpaJaHtVnQ0rwDYKBdjCcKwsDA66zDn3moicJCJDnHMbhWu7mIg2UiOWfgKgjxLefyvSwW9mtNRPsV6hRj3beB6sFij4DBFtTkRVEdmWmUlEEhhXIQLwKzITvMtV9RJYwVhdTZj7fE5HtzlZ3gRqeo/1V1d08o4ZLw84585TI3s3he///UKhcHtQofwawPxKpXLWtttumyZJcjczby8ixzjnJorIt2C29Qmso9kMK0p7QvG0HBb0dx4zvxbOxRwiOi+O42frz23gbdwB6+ANJZM7P1AoFG4L9+6dAF6L4/iuJEkuAdAWx/GkOjmUiM6BFYbTRWSq9/7ZOuTb1ta2ERE97pyriMgAAC8D2BFrKU6KxeK2RHQGgKGqelNHR8fv185x+n91fFFc/BMjSZJXACCTyXytt2vb/+oIxLQLVHVXVf12a2vrot7/3iv+/BuqenNHR8ed/+iG7WWGdT0RzReRIwDsCWAmGelqymn9eoaqd2+SScA+G/1El57bxdf1BX8N1tl4X1XPXb58+aMTJkxIw/H3A7BHPbAnfMffkhnWHA1gYENDw9C6nXj4jTPF3Aw/qpvSJEnSCVsAGMBTRPRlVZ2uqpcDOEBEfsDMPwZwEBFdLyLHq+pC59ymajj/R2Tt4v9g5kvCArkxEXV57yeTBX+9B4NLtnHOPSimm38HpnZo6CK4Pzbg5azXgweJar5G1cgm2QTWiv1ITYGxAWziKyF4MsCir89X1VtrTPy++m7HhE2VOSMaEZETkfpOcDERzQ2T11AYRNUUdooNoeB4QVUnkPEHumBY/AdshmENsGJHAbwlIo8DeIeZq6FYOpQMZupPJgXugnFUNgTwoqp+m4hKMMLrYAB9iKhbRF4m4zuczszDRWQpEc0hC7FjAM1xHE8AgGKx+IFz7lciMjafz59YKpW+D+AyEbk/kCCnMvNENTfKCix3w5Epa94komOIqAvATSJyFgySmcLM38pkMltUq9XLAOwduiYbwDgqywD0Z+aPRWSD8L2XqeWDnAOgyszrq+qNRLRaRJqZeaWaS+aa8Pl9RORDZh4QvpuHdVTGhAK9A8CG4Vp1EtHmqlpWy82ZQES/E5GvA8g451Z47+eRkUDvZeYfeu9nElHdlrsGKwgW1mq17aIo2omIDorj+AQAmDt37tbd3d1TiCgLg4Ggf8nJWapmIjYcwHVEdCSsazSYiE4nomJYQAeokUOd1WeKoLKZqJaZ8wYR7U/WGdpCRDYkok9Dd2MZET0plnbbJxSyf/LeNzrn+jLz4SLyU2a+XEzu+QkRPQyDOC5W49b0A7BQVRcDKLC5ru6hJrldzszvqepz+Xz+Z2G+OJ2IDkrT9Ntr1qxZ0dzc/BGA753e138Mor12reqPNoVLdqpxJ1u68nUAXiaTa78J86tpVDN3GwpT23QCuC2TydxarVYjZn5IRP5QKBRuLBaLJxFRM0x6em8cx/cFOepLAE4MReZnxM5SqbSfiJxQKBSOWFuJQqaE6quWHzQDwO75fH7vAMFMICOCjgbwdF1xUiwWR4QiY3cAd1cqlf/83+3g/O82vigu/sFIkmSQmklRJo7jnf67xws78nsBvNze3v6L3kVDW1tbHyL6HhEdpao3LV++/K764v55o1wub+y9v4GZ+4vIPCL6EkJB0dPT80zv7gMA7PPejE1TofP7Kh/YV7W5SekZh9p3v78m9yosWCtO03TfTCZzsKoeQESTvfe3ZTIZ8d5fG8fxIcGx7iFVvTGbzb5Yq9XmASjHcbzdWufuOgATM5nM1rVabTiA76vqcUSUktl770MWyT0fwFEwE6hmANe3t7ffOHbs2COI6Jve+2ZmfjCfz99cLpd3FZGHw2LcTKZLf4OItvHe93HO5cRC2Zyqbg1LU9xSzaehHpxVBvA6Wdu8VY0xL1YP4P04jgvh+w9Sk0zuowaREFk8tgvFA8N23zOY+RUR+QEZdLQdrDPwIVluyDC1NnERwFfVOBUpgEVqks9sWBw5/K71YYTCjIiQqr4dRZGKyGbM3OW9T5j5LVV9G5YzsRpG/FspIp8Q0TswN8dDAbwBYPOwMPaBOW1+CuAVALXOzs6Tm5ubX89ms/vUarUriagkIqcD+FlnZ+f9zc3NZQDXENHxYl4C26jqebBOhIdN+i8x81sicoyaDLWRiJpE5CxmvjKcr/5E9Cisu7EDrIgrwxbSMWIui8fACsNn1WK6G2Bz1ENqzqlnwEiAPWQeHmNV9RLn3CZqZM0aEWUCBDAx7MJ7yAiRMwCMCF2yBwqFwo3Tp0/fMpvNTlfVKc65i7z3Pc65RhH5napeSBZ1Pw7Ar2Ak2DrUUrevzgB4Wy2ZNhvuHw8AFKStMLVQVm1Fr7u2OjXOkpB1dTZQ1ayqdpNxj37BzBeGTsgGqlpVk8lK+P8Hwj2yPzP/HsDzaj4dVVWNyGTPHxLRarLu1sYicj8ZV+UYWHz8SeEcTiXrtBxMBu10qmqFmT8moku997fC1F/b5/P5UXPmzNkkTdMvh3M7INz/7fiLt0lHpVKZOH78+DXBj+UmAA8oo+XmnEzsiHSj3nNEVjH9Z2vcn/sKjgMwWU258UsAi6rV6g6NjY1pmqaHMfO54fMIVmQMBvAuEb0qIgtUtZOZj2Lmg9UC7e7M5/P3l8vlFhG5u1Kp7JHNZh8RkTPSNF2UzWZfFZGDxo0b90Hv7xMKiHEA/sDMfVS1CvNnudp7/1wdPllLcTIAwAPM/GB3d3d3Lpc7FsCxRDQliqLr/xUb0v8TxxfFxT8YpVLpRBHZmZkX5vP5C/87xwoBQz9T1dMLhcLL9b/vFX/+PVX9bXNz83X1HIHPGy+88EK00UYbXSRmXNMNq/ofWrp06eR/VJAAQJIkxwAYr8a2f1VV94UpGn5IREPiOF4SciIOJqITYPfKFjCy0y3MfNrKlSuT5ubmZ2GLdufaxUW5XP6+9/5sANOZuZ+qbqCqw5g5gWV53A2LgY5UtYuZHwMwqqWlZScikmKxeA2bLPblOI6/Hc7hj8jMdZYAGBAm0qtFZE9mzjDzId77swAcBpMVDoAVFJ8yswZy4XUwi+w/EtEZqjqMzGFwfTLy4je7u7sfa2pqGiUi56mRIx0Mgpipqnn8pZORwvJYmsN16CCiRI2o14csD2UREQ0TkUGBlV4jI8a+p6rPADiaiJaoBWB9AtslNqq5VvYNO80arAXeTQZldIVd3Xr6l0wYT0Rzw651d1UFMy8VS9X8hIjGwch1p4rIACK6Ws3wa5mqSqVSOSGbzT4DC8tyakqA4eEcZ5l5oVja6QZEVNUgr1WDxIaROaRuICJbkHUCNgjv/TURKTMPBXCqWGLpajaZr4NBA8NE5AZVvd8593K4ZjVmvlVE9oQ5h/YRkeXMvBgWpDUUxum4pKOj47rW1tYNKpXKT4noOzCS5nJY6N0SIjpbRG6BcTEegckddyaDcB6L4/jB+n0byIZvwQreg8I1HaaqlbDYt6vq3UR0NoDfqOoZzrkOEelU1R2CdLcM4zBsDytwHhaR/dM03b+pqalWrVZvUdXWKIqO8d7nmHlHAD+DkYmj8LwtgclGM8xcUdXucK5SWBFTC/eKp0BSVVPAfNYZgXXsBqh1/PqHIvoVMiVRk6o+wszjASDwp34iIpuo6jlkxm83ee9PJ6JH0jRt2WabbZZOmjTJjRo16qXwPslkMi3VanWL8Kx+m4gi732Rmd8gorcBnPV8RlY9mpPCOicj1Z9d3+kOhnVltoTBXKvjOP5MKZIkyROwDKDzYKZtt4nIxTBy7QgYv+MnsM5dE6zzM0NVnwjP98bhGmwfNh5z6/DJ2qOtrS0P4NIwZ31CZs42FAaLrEfG95na3Nz86vDhw3vK5fKG3vvDyaAlVtXfZDKZR7z3E9XMCmcz8y97W6b/vzC+KC7+wUiS5EkyTfsV/6uknblz5+Z6enquADA0iqITxowZsxyw0J9sNnscWTv6d9Vq9Ya/10oLeR77qMkT94GlYZ6Zz+en0j9w71x7FIvFI8jMnb6tqsuDd8CdMMz9ExE5trW1dUb99bNnzx4Z2OU5Zr5HRH4F41M8CeCHALRuLjZ37txcpVL5GoBrw+JxEoCfeO/Pc87dxsx3iUkCF6nt8jdSU51MgbHWi/l8/o4kSToADHbObSMiE1X1JFiBw7AC4WQAtxHRS2rulB2q2sDMr4nIdOfcESKyN4DfqupEMvx8GTM/qKonEtGuqjqKiE5XC0zbB1YkeBg7n2CTxcZk8e5VEXkSRvLbh5mXq0W97xp2imPD67XXZP8wW/T1emGxX09Vx5LxQNaD4cl9mXk+rEh7RVW3VNUPmXkT2E5/maoOYuY1alyLMmyXukdY5CNY4ZEh81YYKCIzmHlLAH3UzLWqAKaomQHt75w7zXt/kveenHMNGhJl1SqZnKrexMxHwbJLxsEglzJZdP1I2EIwV203D1V9T8yXZGY2m+1J0/TmAAX1IXOFvQo2MftMJvOLWq32cqVS2bmxsfEYVb1eRHyapptHUXQBEZ0Mg1gaiOhqInqSmft47yeE7JajVPVcmGKjFq5XOxHd069fvz+sXLlycrinPiRLat0HxuPoVusObKWq89ns5DsAtDBzK4C+3vu9AHyXLK+kW0TWZ+YbROTMcD88SdYZGkBE3xCRChnvYI2qzifz86jBFCFVAA/EcXwKACRJ8lpDQ8MBI0eOXJUkycWquqf3/qhcLlfx3p9MRBeo6nRmniQil8H4ACsDbDUY5pA6SI08/YmquvAbUjIl0OJwvlfCiq44nIMOEZnAzKn3/ljn3JUwMu4wWAHSRURLVXVeeCYbYeqwN9iI0m+rcWfeh3WaNg1FyobhuV0Ig1DS8Lk7M/MIVX0zFJE7X9/gl74d6Yh1zUWOaNp1nW6wiHQS0W4AzgBwOlkX7cRCoZAEB9aHwrV2ZCm3b9WzjsL5vU5EHm9tbX0+KD+eJKKXYZ29bwAQVd2EzCzsLhGZ75yb3d3dnYwfP35l/TilUulXqtoYzsex9U4m8BkcvGOAUHaGbSheV9VXq9XqS42NjZuIKU6+DnN+vZeZl4WuZiMR3ZDP559Y13n4v218UVz8ndHW1tbHOfeCqjbm8/nW/+oCHo4xipl/jV4SKjW3z8OI6DwimtLT03NZ75u793j99dcb+/Xrt7eqHgFga1i7e4CqnvCPnDv/3ggcjd0AfAfAt5xz02u12h/YxjfEwo0ui+P4UQBIkuQMAGenaXq4c24wEV1u6xDOZuZzVdUz80Ei8l0AhzHzZFXdTcyh8Euq+uWAe05R1ZuZ+RrYzr0E4GEAP2bmwWpt2Swz362Gr3fByFSbA5jGFnp1WphAN4S5K64AsEUmkxkzatSoZXPnzu1XqVRuEZGdwiLfBmtrv8LMK2BhaEPDLm8FEQ0WkboHRD/YgjWIrEVdT8X8BSxEajQZzyEHC5nKisgVURRN995fGb7vGNhi9yUAJCLCzBQWhQ9gXhS/HDt27JUdHR3rp2n6u0wmc3qtVnsLxgVYqqaI2dQDq5/JaVcSadqk2HRLTz371GhQxu7EehYLAKwIsACRyQy3J1OhQE1+2kD2wmYYsTRHBuGMJ6LrvfcbMfNRYVd2NFnLPhIRgS1Ej8Na/HuoeRAsYvPOODafz78W3BEvVYOoxjPzj0XkTGY+BcA4EbldrTu1VET+AONNREQ0TUSmwDoVkaq+q2YcdRIzP6qqb3V2dh7f3Nx8EtnDsw1MhnoGgPtFZH4URWd7708EcAQzbw4zn3qbjNh5O4AzyFJpRa3LMoWIhvb09Bzd0NCwP4DbVLUfGXzyShRFt6jqhd77OJynFWoQ3Ltixk8FAJXA+3g/XIdBAF4FcBszL1bVZ8WMx9oBzM9msz+q1WpnquprcRw/mSTJKbDOSE1Vm5xzd6vqhaq6UTjmRs65J7z3eWYeAHM/XUZGWmwAADIlVx/YoilskuTfqWreOfeBiHxfVbtSovOnZfSa6ZHKnIy2j05pg4N6yA0VyoRitU6EPLY+PyRJMh+2cdg5n89vlyTJvWSKpGe99zsQ0RQ1F99+IrIeEdXDFDdR4wBtHJ5PD4AvbJbXV0DXaZ29kaD7gi7XTkTT8vn8ycVi8avMvLUaIXy1/VSaowbT/piZX0rT9FEi+hTAnHw+/wMi0iRJJqrqboVC4WzA0p6jKHoK1oV4yXv/MoDBqnonEf2RiFrI5LcjYHwfJZOv7xqewd8CGFY3olvXCNDpbqHY2AlBiQJgahRFFe/94WqQU0lVX2Xm8aoaE9EtPT09968NW//fNL4oLv7OSJLkUDUrWldvy/9XRvCuOJ2ZT2hpaZmlFtxzOBGdQ0TPicjlhULhk7XfN23atKaGhoa9QkHRCuBFshbfSUT0Si6Xu3DkyJGV/85vKxaLBzDzLSLym9ByjdR2y0fn8/ndOjo6mqvV6n0Aisw8BEBVRD6C8TmaAXw1iqJzvffHq+oPYBPc28x8dU9Pz/0NDQ0/FJFtYS3M7jiO9581a9b2zHw/mdTzfedch/d+UVdX1y+ampqmh8UwQxbp7WAt3TcA7EqWKDo0LBI5IroDZkl+pvf+HABpoVDYsVQqbaeqt6rxZPYMD/V3YOqCbhihbimsUFgN64Tk1EhxC4loezLCn4bFaQ0ZOTEPgypeIKJvENEaACIilzJzExEdKSIjYG3ZPuF9Q0NBsYCIBhDRZABfCX/n1KyePwCwUfjMj0Tk5LrPyRul4mPXNMneSxhNva/dQKHqWWuYmxRdsBbwLACPwfgcBSKqh24BIVci/HkOrBPi2RJR6/bks9X4G9uocQEcrMBaFXgWj5F1S8apYdCvh/cty+fzRwM2yQK4A8AwVV3kvT8liqJH4zjeGvhMTv2bsBhuDeBDBFUCGbSzRkSOdc5dH47/gIiMYyMKfiv8ziZVPbNQKDwNAKVSaYaqahzH2wZ10qXe+xOIKHbOnaiqeTUIag2MkwI1I7LLyWCBscycqMWFb0VE54rIEeHzhjEznHM9aZpG4RyNguW0LFfVfcmktL9W1ffIoLqVlUplXC6XeyDcu/vBvDBuVdWjyIzRaqr6KhH9NCzqT8KkvL9i5r7hWi0QkYyqfsc59zIzN3vvi7A8lhoMjvvAOfdwmqZfgxW5gBXg66vBN+0wqKDP3Q0i0yP5K5kqKXBMhUvjq5hGRN+GkSj/DFtkNwhFZJ1X1B6e+aFq3Z83YLDDpmQdj3r0+yJm/hjAfO/9u8y8QkTOBtB8W6NOLmf0MKxj9BV9+JdrMiQi1UKhcFSxWDwCwBa5XO6OSqXyDBEtJrN1ZwDNXV1dLU1NTY6I/gCDCRe2tLScUiwWG4no+UKhsGP92PUMFWY+V0QOJqIjRKS9UCjsvfb3mDt3bq5Wqx2fpumh4dytDr+LYdDmAhFZwMyzRaQcx/G7tNaGs5cSZRdVzbNJwJ93zi0XkV0B7AZzonWquj0RPayq161rHfg/fXxRXPydkSTJPeFBfb43JvuPRkdHR3OtVrsFtvic0tra2hXiz39BREUiurClpeWj3u+ZOXPm+plM5mCYHfEwAE+r6hPNzc3l1atXnwNgD2Y+9V+F2xWLxUfJ2ppfJcMU+2az2YnVavWuOI73Az5bEP4sIp9Uq9VdcrncQTA29NaZTGbfNE33UNXvAdiBiFaJyJtE1OyceyhN0yuZ+bGenp6TcrncSyJyNRFdHNq4rlarHZrJZJ5R1aWwCaIZwCe1Wu3uKIrOJ8NISY1c9p/e+8fTNG2LouhdMjXHw0S0paqOcs4d772/hZmfVdXDyBjzB4Zjd8BimBd571cBOCt0TQbBiosuVd0k4KuA7bTKMAnhczCJ4wo1H4f1yVrdTQCg5jfxoJr/yDwArzPzLFW9VI1vsAKWbzGJiN723v+nc+53nZ2d+zc3N7ep6i1EdJKqjiTLrOgHa1E/o6qvPt2AS57Jyibrun67V2nx4RVmNevqeleEyGARHyb9zWFdhwwMl6+pQTAz1eTA/dWIjy587vuwBM/u0KLeUFV/DOBkMrIfkxFUZ8IWsXGqeiWsQDhSVc8uFApTg8/KrQBW5/P5Lx2/oHhyhfQ4Bx463KPP3lXq2UCQIuSSwCCQt5ctW7bdgAEDZqhxNH5MZpo0TUSuAjAsiqIDx44d+1yve3gGEfV47+93zh1aq9WOrEuZgc/s8V9QkwYjnJcGNTvvqqouUtWFInJ6FEUPicgcABOYuQHmxQE1yEHVrMpHArgUJqEeCeNEzCOi74rIdBiUNg/Ay3EcXxfI1k8jRKKTcUF2Z+aHAMwSke+F+6wK69rc65xbFIix70VR9E1x2Pr6AAAgAElEQVQRuUhVvwGTFj+vJqE9Wg2q+5Ka++Wa0OlzMIv43WFkWPd+BL2i0a9znh+o8D9d7VaE56CRmW9V1Te89xsS0cWq+hYzHwzgNZhUdAiAD4noabXcoEHOuR9Xq9WFzrkpqnp1PY+nPsrl8iUisscapq0ub0o3WEFwvf/dgTrP6eJFmyi9p6rVOI4PLhaLRxPRxsx8m/f+SSIalc1m487Ozloul3tQbef/cJqmN0ZRdC0M2umsVCrfamhomMzMx/ROj54xY8bATCYzFVa43UFE363Vavuv7ZkBAKVSaRKCdw6AYyuVyq7jx49fUywWN4BJ/FtgsQUjVHWIWsfrHTLZ8wIAC6IoKtc/v7cSRUS2dM7N8N53MvMQNYXQh7Ci8AXn3NVjx45d+FdfSJX2eqcUC6dDiKM5fxz6Px+Y+a8aXxQXnzOClHIGLEb4wJaWlhX/8E0AkiQZD2uzXl0oFH4bioqLiKicpunPe7OTy+Xyhqp6oKoeoaqDiehxAA/W0/hCdPp1qjqpo6Pjqn+VfrpUKn1LRL7BzO/l8/mTkySZDVtIryLDBL9aLpe3FJH7YSSzQWot0JtV9dqw8zscwOtpml4TRdEjMG+Ir0VRNDxN06fJnD3vY+bH0zS9nJlrIvIWER0cOgIz1XIauojoVhjGuyNs4f4TEW0PmyATNXe9E8iIpScS0QuwB7yqJpNbBiPOzXXO3ScifdWUKFPDcYeSyT4XAHhCRI7K5XLHVavVAWSkvH5qTqKkfzEUKoXFeTkR9RORDBnpczmMFPigWpLoVCI6OUA1u8IwaYJNPteGRXJTItrQe38BEU2P43hSkiR3kVmUd4rIwmw2+8tarfZDALuRqURG3NYH/cpO1vmMbuKx9Lw1bj1mnq2qGVUdo7ZqAmbV3Q5L5TxbVc8CMJKI7gWwnfd+DZu3RiMz13HoJWoKhNWwDs8HMAv0GSJyIJnigWE79zdUdXbYvdfx6BVE9IaITHXOvZKm6S+Yec/fNMhmf85opvd3J9XuH3W76jBPzTCcPg3X+DwiyhcKhR8Wi8U/kZH7ugAcoKoPkUFht8Zx/JtwH88QkRyAec65I3o755bL5aNE5JewLlVBVavOuSkiMhEWDNaj5tFRt3pGKNBqsETcrcjC794gopGq+hCAb8MWgkkw989RsIXoEiL6OaxY+02hUPgsM6ZYLH6JmR9R1QFqXg0jYIRZNsQJpKqPhXvnQSLaVFUPrX8nGJejkQyKexbGrcnCpJAZ2IKfhS3600VkUjabnVar1S4CcNQfM9L9aIM2r+seAoDLVztpFJ3HJtntS0bKfV9Vd/PeXxhF0a/TNN3JOXevWmdvkzRN94qi6FEAG8Vx3BJ+57YAXvHet2699dZz68cPbqM9RLRhF+nIyRlp6HBKy5je6we0fa+LNh8guIKZLxaRqLGxccvu7u6jAkQ6kUyO/ikZHLI/LATvdSK6CuakukSNZ5UTkUq4Xu/n8/l7e//OJEmmANhcVU9i5itV9YM4jv8qHyj4BD0Hc109j5nPj+P4wM87d4AR6/v37z8UgVQauCYtsK6cUHAahoUhtnvvG4hoJzJX482I6H1V3ZCZm0NxOF9Eftra2vrGhAVto8TpvaTY/rMPJHrMuZ7vPD9kh+V/73v9O4zo/+8v8O86Ro8evYtahPKwf6awUIstPx3Akcz8NRHZqFQqTYVNusfWPfWDMdZENencEACPee/P7F1F182wRGQL59yhf1PN/jdGuVzewXt/Kpky5fvhuzcAWBhFUYP3vqdUKu0sIjcy8/EtLS0zw/u6xeyPJezo9q238pIkAYBOZt4+TdPLmLkcCGk/9t4/uNyBX8767PuMYQNS6dsq7oV8io+IaBSAkSKyKYDLnXMPicgaNbvrxWpExVeJ6IBljl6cktONFrJIA+igMTV071NjRKrvMvMotXZ9j/d+D5iXwW9E5GNYbPgGavLPb2YymZ5KpbJ7pVIpOOeOFJGRZKFTtVCo1O3Jt4TJNbcU85f4Jmxnuqmab8IuakZb64VJ8ERVnUmmaPix935+JpN5jog+AjBIRI4jov0rlcr55XJ5axHZVUxCd2cURftXq9WdAQwkw4AbiUgEWvdP+JuRAzUDWCIim8Cw7dVk0EUzLNAsz8ys5gXhVDWnqkfBdqgMYCkzd8N2fe+qKQcuIFOUfA0W6LRczM0Soeh6F2ar/ryq7k5EO8IKqQ6YzHVPMnioiZl1ltPJf878LYlPiRrvb9Ce89bwvFDULYfBVFcS0bQkSe4FkCezER+q1vlxDQ0NB/T09NxdKpVanHNXpmm6JYAXiOjxlpaWatglHs3Mp6nJPW8BMJmMCBiJSEVEVrJJDNfTEGkeXkuhAL0CwD5kipz+ZB2lKoyoOCcsAg1qfgg5WDrwTeG/FwM4vFQqjRWR0US0Caz97dVItaPCvdMlIqyqzc651UT0qfd+UTifWyCQVLu6uoY2NTW9DFtAG5n5sJaWlqqqcqlUmg0rnBap6riOjo6Ro0ePPgjAibVa7VJYEVhpZO4b1LF/MwiAM3hrRLiXK2pdtJ8CaBg3btyDSZJc6Zx7VFVPZUvgvcM59121nJXPdtGFQmF6kiTXZDKZF8vl8vCWlpbq7Nmz9/beF0KB/d0m0dzhVdepNpYz8009PT1vIJu9Q02qvWFPT88rAGap6v7MfFTdrCpJkryI3BzH8QlJktyiqiPiON6tXC7vAuB0ERkHgwAHqZGWPysukiT5JixK4DtE9Lgal+sP5XJ5y/q8DAC5XO4bAJ4CsDsRjSeip9d54nqNoMxbEP73VyOo7QYzc4uIjGXmnZl5BExGu4KIXgMgbOF7wxC6gcz89KwkWfIj8llS/PXzo/qVtJYlWNzBv/X4onPxOaNYLF4dFtKlhULh8r/32tB2uxu2kE0SkZ8wc8V7f0Fra+ucAC8cECbqQUT0DDPf1/vGro9exLibCoXC7f/K3xRw8WdF5KtRFDkRuYSILg2QxVJYy/fm8LuPiON4SXCg+0FYQJ+EeSecUt89huNOV7OxHigi9zHzebDCNXkxKwv+0KCHef1LIUsANhVcf06Xm6+qhzvnLgIwznt/sXPubTV1xDgyT4CB7zosvqHRb15d624dLLTmrNX0Kbw/NoqiK+I43rpYLB5AREfUarWzM5nMiyIyzTk3EWaYNDfsGHPMHInIQiJapapfV9U9g3fHGjIb60FqUswP5jk9YGpGulYy+g5Qws4VrBnl6Y2ws15NRJsBcCJyUqFQ+G2v83InWbx8FLoDN4rFlR9CRLNUdT9Y10VhuO76qkrMvJOI7H9vH+w2zcmX13Ut96lQ+tU0YhGpAXhbRL7S2tr6Tv3fg6387LAb6gvrCD0Xft8gNdLd5jDfiypsIZ2nqteERf1o2I6zAaZ6WUUWzrV5KNQ0LJQZGN+mSkRdgbSrAIY+ldOPnsnKkHXejKq4tivzmjNOxO4iMjt0eFaH4m4DVd2vUChMnzVr1r7M/HMyyOcMIjoGwIlqzqNXq+q3QleFYXyBS2Byxv3U/DI2VNXlZFyeFwBsTWaUtA8MkmiCcSHqxFtV85NQmPXzempdHQ8jnr4PI8UOCYVr/VctghV2gO1A76zVanc3NjbGIvJzAFvB4LgPvfcHMPMUMjiwDyzRt5NMHjwPwEuq+jqAoY2Nja2VSuVe7/35oYgZAeAmMuOzYWpS5PnhGB8S0XLv/SbMfPgS0u5L+kjfdWWmbij0/kWraRkzrySidhE5FAbhVFR1FTPfp6qnqerKbDY7plqtvtTc3LzT6tWrp6tqDxE9Hsfxz3ofs1QqlT4hXfxSRuYPFBy8qfCMzVMdB6DJOfeRiLQD2JeIjlDVo2HeGKcF/tceMAXaRSLyQqFQ+DL14jSUSqXbVLXU3t5+85gxY153zn21Dj8kSbIFzCdnayKKoigaNWbMmHfb29v7p2n6x7rFd1CRPKYWGbD57NmzW+sd4SRJXhGRZ5xznwKYKCLfKxQKf1M0/CtGWBO2UlOrjVRz3t1SQ1bL2xHpjU1+nQGJCghl00Evbjp+2br+/d9lfFFcfM4oFoszmHmB9/6izwsSAz7LGbgawK1kJLH1ReScKIqWiUmSDiUiUtVHMpnMQ59nqBIW/iuJqKFarZ7WGzv+V4wge32GmS/O5/MvtLW1DQk7ro9V9cHQZpwOw4THqfk0nElEH4upEObGcXxRkiTPwnY7SU9PzwW5XK5VzaUx571fwcx1R8CyF9n4/H46shPad+3vw4BesJpf6i/4hIx42azmUMkwHN4DeFNVV9/UR3ef47TPun7X/ql7amI3rlfVuwA8TURfVyPYReG3eVhg1aZE9ACs4v89TIb3Wj6f/3lQ7vyAiEaJiIRJdRSAPV7Iaub3Ocms/bl71nj6IT20BQy66QCwFTNv9vHHH68KbdKYiG6AmU3VQ506YV2Ca5i5D4AfqiVnelX9cxRFP/De35/P53dMkiTpgW7+i2Zd0UkY3PuzBwrSs7qjnibR95h5eK1Wu8o5tzWsZb9QjTC4DMDlABaKyMfMvC+Zm+UrALoLhcIRe7wzc/0hyneshh7gCY1DhfXLFehQTysADBSRhcy8gAz6yKrqp6q6CaxLtRLWxh8YCpyFMGgqD+MR5J7I6eJnszL8c25JvbbTLck6d0+apscT0UAYP+SPZNLVITAvEgrdhZTM6XMwrKCpwIqCT8l4FEqW68EwOTDITKOiUKwsgBUSo0LRIGT8mRpZ6/0EMnXMpuHfSc1C/OKwkN7x62xlh64oemA50WhSxWjh7JerjD6iPhQ+CqBTzd/kemaep6rHihm2NsEcW/uq6j5qEAN3k/asIAxvJje9OfVdRHQ7GTRyFQwyKsFIoYPJ7OdnicjHRHQigCkwW/GUiGp9+/bdue6PkyTJmQB+AqD/lJzqU1mJeucGNChqp69hbCa0qlar7ZXJZP6zVqtNdM5dyha+Nhvm7/FlEVkI66plVPUXRHQArMA5I47jv0qJ/ub8mRcudXRhJawtBKDVu4XHdaM/vIxny1qZBWA8M18MgyAugxVsE2BmZJPVupZ9xYIcFwE2hzU0NExWg2YjZj4gn8+f3Pvz29raTmHmq2Ado9+Skcd/F8fx7+uvmT179ube+yfUeFF3xnF80ezZs0d676+GScOPJ6IH1/bt+d8xVJWLxeLmV/TRAz+IcP3nvpApfnHo569L/w7ji+JiHaNYLMbMfIGqjo7juLD7wraDSPVUAMMAfUfhbrjoneXPDRgw4HxYC3WxqjaLyM3MPBy9CgpmfnBt8uY6Pu8IMkvpCwuFwh/+J35TkiS3AOiI4/g6wFjUtVptkqo2r7/++rt9+umnRVjUdk3NZvgFZv6Vqk4QkQPjOD6SiLRYLN5FRlQ8gCwbY7Wq9mdm8d4LEfUw838AmHxKn9Qx9HMr/2/38MrxNWqGTeQPh93L9bBuwAhm3kxVW8/pk765mtZ9r25bow+Oq7j7YNyK22DJqZep6mONjY1f6unpeQNmBEVqTPc1zNwpImcWCoWppVLp66p6UiaT+UqtVvszETWp6utxHH/jrdnlqec11vaqreOTMwpctiZqy3q5FsBRRDQBthh0wLwhmmGLcIf3/hAYzJJh5ttVdWdVnc3MW6nqFqp6RZ0IVywWJwMYDmAL59zOPd5f/0wD+k2PtKuf6tAW4cxeFWrOKGaocS3uYOaJy5Yt+8r666/fN4qiU1X1BDYH0M1UNVHVecy8rfd+OjPnVXVsjfmls/ukQ1LCVr1/lwPwvTWsW3rbwIcFOIVNul1k0t4VMHJcu1pOyHiYimh2ILVtxczLnszKgmeycuu6rtsIT/qDLuomouijCH5qRhuWkFCTUs/4lFdvV0Pn/8fed4fJVVf9fz7n3pnZzW4SUqkBAgSS7Myk0HtTlKJUAemoCCq9iSiC9I6ogAgWpCgdkY6YhBJKEpKdO5sNBBJKCCEFEnazO+Xec35/nLuwxo3t9X1f3+fHeZ59UnbKnTv3fr+nfAq8ddyoqpuknZLEnKa8GD6OyuBTNH833SJ9FoA3VPUt+GjlGAB3wLsD28NxEc0iEptZOe1mrINP2SuN6edO0sRGSOoy2tIrmpJhXauMkgcq9LsrpTqA0m3e6aqTXNdcT0PMNSNqdIDtx3BGxsE1s0EPN4LPhSo9qJqNEiw/qlt0iH2i/tqoqiPGjRu3OIqiC0jOyOfzfyyVSlekicYZZvYU3RjsPZJSKBTOfvPNNweuXLny7TSh+djMLngnwLXTsrBOWriOklvFcuMgxVgz285c6+MZkmGhUDglvQY/R6dmL25ubp7Q0dHxElyA7X66Ns44ktPMtSyeN7MptzfZ9jNCPNCX+dEuNcy+YNPxLeVy+f0gCI6u1+vT6LilZ2q12k9zudwMAJuGYbhXHMdXkVygqpeTvA7AdYVC4Q7Ax8pxHD+lqkeLyHUicmpLS0tb7/dKu86HpYlmVkSeInlNb52iNJmYAWBu2mne1czeBnAoyWsB7FwoFM7u69r9n4j95s7cZXmGk1bz6xhmwyaP/Euztf+0kP/tA/hPDBHZN0WOv7Dr27N+SLOH4W6MowHuSehjU9cb0g5nJIg5srhB3BMDqvqVfD6/U6FQuP5vJRatra0joyh6QkQ+l8lkdvjvSizK5fJRcL+I63v+r1KpdJvP+R5cvnz5c3RhmRYzq6vqtoVC4RS4Kt23SP6mra3tsnK5/ALJz5H8UrrQ58xltRMzuxteKT/U0tJyc0tLyzuhz/ZXG8JPrMOXiciXzOwhOmWzJW1Dnw7gXgFXywXvZ1jDXEJ7BXxk8yMA15vZWbVa7UD4htFsZhfBN4aBYRjuWSwW/xRF0ddV9TgR+fLo0aM7ACxX1RjAduVy+asLkezaV2IBAHUCb1KbAVxMssPMHoXbdG+QyWRuBrBWc3PzMWlVWYAL/6xI27ZzSQ4zs2/BQamzzYylUuk7dBGhGsnJqrphlhx5QJLZ74JOrn9GV8AvVjg7Y3jEfMwyc9y4cTea2byhQ4dGYRj+ycySIAi2yOfzm5rZ7DiO96DTcZengLiEZOdzYTJ81cQC6Zfxx5zVzUxSzEaDOfW3RgcYxulnyZjZtnBaaRWueNlIcoeUYbD33lUet3mdf9W6zQLJgVWCZGM5Y8FlDUnjy6HyrQCYHVrDbxuSoTc3apeq3m9mS+jAynfSjoKp6iBzDEgIB9x2kLw0n8+PyufzX8nn898rFos3B0GwETzZqMEBmB8AeJgO4p0GoJSep6/AnVZ3NTMNgqAHEHsnPPFN/pTVgasmFgCwQiD3NlqrOYX3Y7hCaS7d8IeaU2/XMLNRZra5mR0PYI17G0ynZD5NLABgXoA1buhnzbEncf3TxO0n5XL5KHHH1F1LpdJecDO/6QAGh2E40xwoOpNkvlQq7dXV1fUmyYBkN8m7i8XizzY0WXZQhZVjusX2qLI6oJ4M6Ll303ukCOBL5XL5SyLyLskKXK58vc7Ozl+QfFREoC6kNze9326kA5rHi8jT/ZS/Xp2r4vM56qRJk0Iza1TVUrFY/Gjp0qV7Adi4oaGhja5jsSyO49PhY5mlJC8DcCzJHcvl8j2lUmnQmDFjlpnZ4SJye5IkVydJcumq75XL5S6FJ4sD6B28R8zsjCiKJpdKpa/cc889wdixY+eay9hvQPIGc9bcAM0EDwLYC8DfxVv8d8SkSZPCcrl8+Y8q4SMDle/2+SDyzv/0xAL4LLnoM8xsLzMbsCDks2r4fl+PeSZjI7pdcW2Rmb1SrVb3LRQKOxYKhevHjRu3+O+8vqRGO/cDuDyfzx+fbm7/9mhra9taVb9drVa/2fv/6/V6DS4oczYc7HYNXFHuOZJrlkqlH5nZ42a2loj8QFX3NbMsyefhHY5hcG3/85CCIEnuKSK39LzHn0fk58MFnP4qCNqGdXar6rnt7e1rqWq7qm4P4A8km0jGSZJ818z6j46xWifYfMxGAHvAq9SBcMGcDYIgOCtJkitJThO3ct+Zbhb20ujRoxeWSqXjARzQ2dm5T0tLS2f6citE5Am4nsBtQvmbxkM12OtmtiP9OtjczJ40s5/W6/WnAGQ6OjreNrMT6Q6py81sOoCtgyD4baFQ2KNQKEyHaxRsUS6Xn6cD6R4mOQ3eCbjCzJ6O4/g5kg1hGB5pjm1ZAOB+M9s6iqI3RGRNc52Ku4vF4hW9AcgTJkxYTleUvIdkubu7e08ze+XlLF5b3ed6P0DojZ5P2Cc9rp89ttwzzOxHJC8mWYcnQ/sA2EdVB5pTPs+t1+t7XjNq3LBd6nLFBjHaNksY5+t4+YedYiNi/IHkGfdkNOmLD9MWWsvikJfQWRQDzbEekYhcS3IuXJzsDVX9qrkM+VHlcvkX06dPzwCfeO7snHbXxgCoqOrphULhqEKhcE16ne/a1tY2Yc6cOU+RvNd8nLQ8HWPk6SZ48xsaGtZ4KbTVtqDfDJGhj1TycJv12MxWiMiOtVotS/L49JjnklxQhS2blrM+194lYtk5oYk5OPgdETkQwFhVHQwfJfyQ5PsAzoQnMt8leRiA68zBmI+k5yswd0QdF0XR8yTrdAZXne7tc5A5cPr3cJDuTvB14AEz+2rKtFlpZpJiFL5oZhPNbCz8XnvFzI5raWl5JO3IvPN6YDNWd45is0FDhw4dZWbWU3ANHz58KB3A/IKqjiCpKQ3+bTPbAe4x8xtV/RPJewA8E0XRLsVicQ7Jc4IgOEdEaq2trbv3fq/NNttsqblt/Y3wZPj7JK8xs6+JyOZjxox5JYqiU2q12u0kl4Ec+GwO6/6wWS86tbH+k3OakuNOGZB84UsLp/db9XP8d0a5XP7q0KFD3wdwSCYIPpdkbNsxifTeFxIDb+yfqX/7f/K4/tX4bCyySsyZM2eder3+GwBDftAvPm9FwEdX99iJMQ49aHHX09ttt90/RFMFfORC8iaSz/87xLD+VqQ4jidVdf8esF/qY7JvEARXmdmIJEn2T5LkxTAMd6Hr9UsQBB+Zz9bfJPlHVf1TZ2fnC9ttt113W1vbjar6TTO7urGx8fxRo0ZV29ranjGzjcysf6FQGNrr/Q+elsWld+R0I8VfQsq2rWH2YdVgHQDTgyD4dhzHB9BZDWulaP+P4Ive4iXErCub4i27PwXLAQC2qkvHUVUxM/vI3GeiRJfg/oDkn83s8/AEejDdKXYUfeyzME1gnoHT7t6ne3qcbT4SWhNAvER1x0sH6J9jby//RfQz4OKVQS1UW0kH1j1qrvR3EICGtPL/QN1MrgPAbmZ2f/q+w/P5/A7pOZoFYJSZLaCD3DIAbhGRjwBMSP+dBEEwpl6vry0it5jZWnDA4h8AfBnASXPmzHllzJgxD5orLd6VSs6/aq5TcSwdODiCPvZpuLkxmVMOsUtf181Ao13cKTE82bxFXIlziaoeBGdHvG9mOxUKhTfb2to2SZLkPhHJdqhe8mGIc4YkGNFMecqcgbKhiAxS1Q8AFOl02F3MbM4DGT11cuPqk5yDqrJk5xoHmnfJPhKRHHy8sRIOrBwA75q8D5+xDxSR5UmSPBwEwTFp1+BdM7uDrs1gABDHcXcYhqNIXgVXlHw7TRD7wXExS1S1hc4iesfM3rmmMdn6rRB9Ujpb6ohPqAQr6FTlK2bPnn3B6NGjv07HJowA8IKqXtWDHfjKvNbNlojNWd3n3rMWPL9XFTOr1eoZuVxuqZm9BR+1dZKcICJbA2hR99boSJP/e+HU2E4z64SPiWZ2dHQcN3DgwF+kFMg96eJaefhoq1lVW0Vkipkdh9T1F85QWkayNf2u3oMnlePNlWkNwGKSTfBuTieAzBNZa3o0p7m+PtNgxesXdoWTzWw/Mzs8DMO14zj+QRAElwVB8FQcxyeZ2RlxHG+ayWROiOP45SAIdgEwjo5nmdvY2Hh1d3f3TQDebGhoOLtarX4LwPaqOqJQKGzHFPwZRVERwKMi8p0kScriSq+N6ppDz5RKpUEicpw5oLTzgZxuPClra/Zx2I9M3nD8l1b3Pf27IoqifQDcRLJBVU/tAYWXy+WjzeyqTpreFtYPi9A07YX/piL0vyM+Sy5WiSiKvmUuTLTNSf3rl5jx+dU99rTuYO5GMUYw9WQQkZq6+NAyAEtV9R0RedfM3lDVuXSPg73N7Nu9fTv+HbHLgtb1GNul5lV8A4hXTu6UNTY1+W4+n5/06quvDgvD8GsADqHr8m9Lnyt/BMcHKIBQRBYlSdJB8oaeOScAlMvlLVX1HjqTpKtYLBZ6flcqlf5AN+jaiuRjS5YsOWXYsGEXwKWyy/ORHDglZxssElig9t5udekeX8cAugnY/XS8yYC0snrQzPaD8/mXAmhKkuQhFTllcg6L5oZW74C9tkMs3TvU5XVzddDFZrZ+ygRZFATBsnq9flsQBF8HsLGIXD127NjzoihalG70b/fr1++YSqXSP0mStYMgGGtmR5hrGwh8jJIAqL2a0dxtDSba614JSDu8i/FWiXSr61/0CEGthINRV5qPITZSdwR91Vxy+EIRGaeqs0XkhCRJjkorc8RxvMGECROWt7a2NonIB/SxQ11EHozjeAZdZfIKkqKu4vn7VNhnG3h7+l64O+MB8MRjBV3o6Rfm6qJTSb4I4FRVvWNG1r50W4Md2de1tF2demg3u0j+AcBocYv3O8yN1eao6g102uZCEblweZIseKZBH5+URcZ8g8I6xnlf72J9TZOXzexAACFdrtrS6y1YSbNzmnW13dPDKhJvW+fH6fexME0+2+nsnOEAQNd2GA0HelZEpEfgDHBGx8tp4hjCGUDrwc2/PobTX1vgUs+ks0Lmp12LOoC6qjaRtKdz1v1wVvusZL9SkXjHGlbSxxD90u9/IPxczIGPZZBeG9WKUM5piiesTrTm+O7gw3wMmllr+lmHmNk8+Eb7PoDJcLr1cvMx23JzSu8MVV0/ZUI1isjTZjYXwH1d/cEAACAASURBVDHwa7MxPa434Eli1Xyctx2dIbUjXHMkB7+GhsG9SmJzga8lSZKcCseVVM2Bqxn42lFeIVzz0qZkvS78ZVeGAI6uyJwtYulOk/dWANuKyPPq2hRrmNlwESlYSiknudTMOuAJ5Npwei4AvGjuZ7MRyT+ZsyyGkHxOVV8QkSqAs8zsCbpZ4GVpYv0TOIblnHHjxt0POEA0aWg4/bym+PJVmWifhNmEySMnzFrNb/9LkXaVb4Un/T+dPXv2BT3Mlba2tmYzm2HO9pJCodCnL8t/cnyWXKwSpVLpcRGZambLT2puvgVcvgDgkFUfF8CWfe9D22mtbHZLM9vazCbSxaHmw4FoSjJQ1fXEDaQ2SBfWHqBYHX7DL4MLUL0r7g3wlpnNXrBgwat77bXXP9TV2H3By0PiOFfiKpW9ALWt6nbEYd3B50Vka3PA0jbwtinh9LsrST5SKBRmtre3n5skySkkr8/n8xcDQGqvfhGAvQE8ks/njyuXy893dHTsvt1223UDQBRF9wOYEATBQ/V6vSIiJ6jqT1T1x2EYTksrypUkC0mSXENyJzObLyLbp0j0u+C4i0vT5GwtuEnWK+YqkG/TpX4/InmXmS00syFBEBRV9W1z0FxCF4IKmNphp1X6Qrix2gcA7iLZZGYPFovFkyZNmhQOHTr0OwCOInmumf1aRKiqwwFUzD0uDv+zJOutyPCOpQGDD6EPH1wNaiMTHJQmlEvMW7BLzOmdZk6vzJlTNZlWXkqyH52O+rk3Mhg7KbTKh4FJg3Hhxsobzx1VvDaKojPM7GqSK8IwPCuO46vSzzAfwK50EF0OjqpfRpckrpLcK0mS4xobG9+v1Wq/C4Lg4CRJfl8oFDaPouhGEflNS0vLK1EUzQDwOwAX3J/Vjsk5GwZ8qpo4ImH8nW7WmiGnmNmR5gI/w8xt2t8oFAr7lMvlJap6LpwRc+h9OW2ckv1rRtBQY+0HnYLQ74sYnmAw/fu7AIZc1JTkFgsaVn0uQfv+Ss5dU7kW3BelA8Br5iOQYXSFzeHm+gxj6BiHj9LNPYZTHNvT91snvdY70oT2ZQDzgiCYDWCEqj6qqheJyCBzSeatzWmpr6nqUyRPicn4hoZE3wjtLyrzEQnePq0reDHrCqbzzH0mHqtUKt/KZrNfA8BisXjtqp/v2Ddntc0PMHbV/19DUTu7g2cPCII90wR3Yzgz40ozOx3Ar0RkBwDN1Wr1rGw2e0fa1VlpZsPM7Dlzw7Efmdl5aaH0NQC/N/er2SJdo5TklkmSnB4EwVoAToazdR6H65x0wrEKXxX3g1lT3D13CABJE4463QxwHsk1AGQXiPH+nDbPFSVIrKGo7l8LVk6sIwbQnCZCjQAifJp0gY4xmQhPxkbDC4seZl0/uNDdsLSQWyIidXjXqUcCP4Tf481wltFKkoPoVHNJE9N+8D2vmhZDtlDw4aX94g1X/R4+DTti8oYT7lz97//5SE3Yfg6nRD+ay+VOGDVq1Me9HxNF0SXwrtFaJOcVCoXP/zuP4X8iPksuekVbW1uzqj4N3+hObWlpeWPXt2YdIODvE/RSGTRUjqtKtVDDo7Va7bgeJ9OU7lmk6wRsDr9J1jYzhGH4k3q9fl/PeGLq1KmDm5ubC+Jysmur6oY9VUr604R0zk13ZV1hTgVcKCLvwqv11xoaGtpOyHTtmcAu6eszrads/+5K2QCe1CQiMsPM3jOzBwCcXywWJ/Y8Noqiu+H87jXr9bpls9mTSB6etut+1NOuK5VKvyF5baFQKAFAuVz+U5phL4eDQH8P75C8Z27l/mczuws+m/9VWtX/wcyOMbPP9xiwzZ49e2Icx9PolMO34bS+9UlOLhQKR6THuAWAq9KbbkO4vsR7IjIMPg75gar+mA4MXWBmQ1T1pjAMJ6hqBl4JBWZ2EskrATze0NBwWXd39yN0l9TudGbeH8AjhULhoCiKbjWzbejz4dkkV5B8X92r4CYR+bK6A2hsDkSLVfVnJE8AMJ/uM/A+yXVJhn/KavdDq1TBBHBQlcnO9UDSxE/T5GWZOeBzPJ2dcUatVmtd1T23VCrtRfLMhoaGPbu6ukaJyG0Agnw+PzGKorvN7OyVK1cu6t+//7PwjXfNhoaG9S7NVPJjavb0cuLDDRWVbeqyAVTfNVcyPEpVvy8iF8Cr31hEbjZXlV0HwFwVfHhmU7x9HexTkO+EbtGWmEyv2wFwQOalcRz/KpfLbfc6kztu7Jc09H4+AexVk+oXq6ylG8IcOIg0UNV59Xr9kFwutzWAk+DdgXHwrg3MnWcD/6spyaWqun2xWJzX1taWBTAqSZKx8A27SPJL8ASwKX1OHe6zMRvu5vuxuWlZbEBSCq3fnNC6BZR1E7y6XZ37A/hW+hOai5btV61Wt81kMhSRF0Rkq97qoaVSaeeK4Dd3Ndi6s8JP15V1E9S/Wgte2SDGIACPFwqFM1MFyJfp2JE1ADwrrsp6rKo2kpxKcqqZHU+yraWlZadyuXwrXLb+fbpL67XwLuJv4Mq2FwKYaWbbmJv5TU3xIuuIyBh417Cenk+Bb9o70pkzoqqBmS0JguCFJEnGi8gwVe2ie4DMNbOxdWLIUiY3rq3BuEwmc0y9Xn8GwOZm1l6r1bZa9fpNpdonk9w4ZYxtBGByPp//ER3Iizlz5qwTx/E1AHYys0lPNOrp7wL3vRPYFt1Ew0Dl4n1q7Nwx1z8/cuTIShRFfzSzU3q0KlJr9HtIri8iP0uS5PaPhI+c35xs19e169ei7TNpwwmrHY3/M9Ha2rqeOE12d5LlJEm+1lubpte5GEHyD+aA+WUkXy4UCmf9O47hfzI+Sy56RRRFB6tqUUT2LBQKmwNAuVz+wvu0857JJGu8nMWrZjZPk/CXP+uyjejz44/N7LBisRj1fq10sb9MVX8VhuGrSZJslyYd6wN4B8AMehvz+b9lWmNmMmvWrPWDIBgbBMGYJElGklwfXr0NNbNBv2jUMAptYF/PbzQuvmplcA+AL5D8Gdxq+Pn29vbNR48ePa0nuWhtbd0xCII7zKzVzNoAfCEIgmdVdWeS38zn89N6nafvAXizUCjck/77TXP1wvFmNqFarX6YzWZ/QfIoVZ0lIkPo4khrmdkkM3tk3Lhxt0Uu7VlraGjYNbWhPhnAtSTPMkfwjzcHip7UM6JJk4uHzRX93iT5RZIRgImq+jyALYIguDJJkkPgC1RA8nX4eGSvJEnOIrmBmVXM7KthGM5PkmQKHZD5uIhsoaoDRORnqnoUgOtF5EJ4MjdYVScFQTATwLTUSfQWeNJUN2cOTQdwLIDLRGQnM7uc5EdmdqWZNVeFTec2J+iL/hIC8RWdQZI1UESuV9UvkLwGLga1P8k7zLEwg4BPqv2eFvb75hLyw0n+0szWI3kCyd1U9ccicp6qXpEmdqPM7ENV/Z6IXAsfU9RV9RUROSBNZCvp+7wI4C141XmImX0Ax2LUSCbvBLjzqn7Jj1d3/R5UlfpOVYwuFovzyuXy/PQ8JAC+JiKJqrYsp9kTDVi2glh/gFm8QcKbt6/Lt0Xk7dQPZgjJJ+GdkolpIrsQbvi2wHzUUTGzW5IkmRKG4X0A7oV7bKwPX+c+JvmkugfIvDAMlydJcg28M1CB65GomS0VkSE9CR68Q1RV1edI7g7X0HiXZElEtkqSZJ6I3BjHcT8RCcU9Iw4k+UQ+nz8piqILALxbKBR+CXziRnwevDOw9WLBW49l7dbd6zxjndgGhyIPmauHjlPVrcePH/9e2j5/AUA7nCnyRzi+Ynl6jM1pJ+e4arX6ZC6X+zOAj0WkQVXHLl26dMjQoUNn5PP5CSQ1iqLOtKJ/2sw2FZFhS5YsGQ0Aw4YNu83MDjY3SfwJXGPjYvOOYA+4vUZyFpzqvDy9z96DYzWGAyiZWXOhUMiXy+UZqrqDiPzezPYOgmAugL1XFRCcOXPmhkEQvERyHMnLSV5vLm63YXNz8zE9+h2AYxQMuOmKJm14T2woVgmSR0/aYNxvS6XSiSTjQqHwCR06TdZuhY+F7wWw1flNyaYfCjbo4/Jdin6ZkZOHfwL4/peira1tMIAfmtkhqroiCIJv9CiP9hWlUuleEelMr4MKycd7ixb+X4nPkoteUS6X71TVF0luWCgUzpw+fXq/bDb7PMmXROSJlpaWh3s/PlWvvDNtD96amhUNNrPLzGztTCZzQl+iWWkGvjmA7c3pfE3wSmmGiMwA8ErvSufvxS5vz/o5DMf39btBisUXrgyaAXxkzvYYAF8g6ySz8PZ0Z7rhLoNXR5308cOOQRAc1NsECACiKNrfzPLFYvGiGTNmbJLJZGYHQfBgkiSZdAG6La321k+r+CrdBvx8kkWSSwuFwu2p8dTlAA4QkYves/jRcohhC0O2r5/w451rtg0Nr9NNzA4EcJSZbUjycjP7MYB16IZpXUEQNJlTUuchlcOGz3b3QDrrflts+aMNttabYiZAMsj4ygndMnZQYk1hGG6sqtPN3VF7cDPbkvxzOtN/iOQX4Av84CAIvpckydUkt1VVE5HJZnYLgJ/CE5rQzN5IN/nB8A0sOyfQ7hv69Z0IAsDJ3fLWqJhlc5rwN0nOS9/z64VC4cG+nlMqlQYFQbAOXNXyTDMz+Fz+fLpw1ppI1SVFJEivA5iZ0W3lG9PrYyAdFwH6SCmhz+ITuhPodvDNtg1AUVXFROIzmuNsvBrm2de6pWtCzDfgLfYvi8il+Xz+d+l1NJNuPtcATw5WkBxA8kZVfZfkpgC+BuBX6ff4cwD7wJOGnk7H0o8FHz6XsUHvBtY9UNm9Sw2yR0txMwAwsyCKot/DN2XSsSshyZyqqrg9epP5+KfTHAR6i7nPxr7pZ5f0nPaDj5B6RjvVIAguTpJkOoCJALqKxeLP2tvbN4/jeLKq/jxJkiszmcxT7e3tW4wdO/ZwVT3aXP/mUroz8kh4G/9wEXkFwB/NbCxdan0dAAenn/cqc42W9wEU4zjeM47jl8Mw/IWIHEZngCxU9914DcCB8OSrambfB7BFoVA4NT3vPbow3yB5nao+Yy6E94aIHGtmB8PZNSeKyK0AnoC73YYkR8O7Ggvz+fxGURTdRMeSDYEXWoPpeKHrCoXCOeVy+TYAY0RkUpIk3yT5NoA4juPdJ0z4lE7Z1ta2lqrONLPt6T4tlxQKhfZyuXycmR2uqgf3ZuHt+1ZprxXQPjsKBBZM2nD8iFmzZm0aBMHlq3qImFs1XAUHOk//gLrtTY2WWSrWezz3AahHTN5g4p/6eo9/JFpbW5sAnCIi3/K3tR8WCoXbejoxfUW5XN7efPzV46vzNsnL8/l86796HP9b8Vlykcb06dMzuVxumpk9HwTBAy0tLX+OouhqOPjp+IaGhm36Ynakfgb3iVvrrpluJOf3VoT7ezFp0qRw+PDhm5lZT8LRI309k+QMkjNWFYrpHTu/VdqT0D552bvWuOCgerh9S0vLOwAQRdE0Vd27X79+KyqVyssi8sMkSW5MK5/hIvIe3HSrDl9EemSVEzgIbhl8VjrczF6gI9BXqOqPAFxIxxV8mC7Wj6nqVAAXAWivVqu7ZbPZE3snF8VicWIURb96ImtffqLBBiX2KRhsLWV134p8NZ/gBnPcxhO5XO7YUaNGfVwqlX5I8sz0WJbAufHnk7xIVecHQbCDmQ1IE4VL3wlwyXWNcTbmX17y/RW6S1d14h7W72fp+V8OR8qfbmZni0hL2uWYD6/k7xGRi1QVdCOtmORwVf1YRH6eOh6eCMBEZCFSMJ6ZbQEg+0YIub4x6dMvBADOWCnxhsr7AGyZz+c3LZfLU8xsYLFYLPZ+3NSpUxsHDx48yMw2iON4LF1CeCScnVAkmaRgRJKkqnbT58xL08d8LCLlJEmG0hUx55EcTHIJfZTweXhVPJ9kIxxU2ZwmpIBvsBUzy/yq0T6elbHBq36WAUY7ryt4odHQZU4tVACvichxIrKyXq/PpHuvZNNz22hOXT7GzOaIyBR4V8Xgs/TQzJ4XkQ9JbmZmuTmig27pp4OqvTQoBLADK1y4U11mkiyragNd5CwPX/OS9DXVHM+yPsl34Jt5mP7OzGwRfbw2H8CYtFtTS5ORD+GL/6Mi0glgDzMbBmeuzDGzbgD70IGJbUEQVJIkGWJmPUyW5QAegkvu31QoFC4olUpT0oTq5+bsjdMAnJcmqn8UkbNUtUyyWigUtiyVSqeRPCrFRMyiu6UOgifVW8IBrT8ws+8HQXBoT7Wc4qjepWtLZOCJ6CEknzKzO83saJLrwIue9eDspy4RedF8zBmbjw+fSZMxmo8pR8KxLQ3pOtIjBDaJTmE/G8A5cMDl0jlz5uzTA2BM/ZTmmNke4gKG3ysU3AE0iqLPA7gcwBE9po47z591Gom/wrL0xDldwT5fHFt4NIqimdVqdastttjir5qFURQthEvDd6nI+7ND22RKJrnn9cAeD5Lk0T9tvMWK1b3+34p0PH4syXPMLCMiv/n4448v7cGorS7MPWOeo9OiR5pZnmR/Ednhnyk2/1PiM+OyNDKZzE4AngWwA4DTy+XyOABbqeofSc5YHWW0WCzOmzVr1gkknxSRt+Fgsn/KFjc1v2lLf34LuG17kiTjVHVzAOdHUTQK7l0wg+SMIAimjhkzZhkATNmw+Pgu82ZeDeEZ6JUwbpRw8TqhbNGyacsHAFAul3c1s6inAoiiaKWqXkMfWRwvIkeY2Wj4hn14D6Zi/vz5DdVqdXClUtksDMOxANZT1ZNI7g2gQVWb6a14povq+gCCJEm2B3CgOCWzlsvlZqvq1CAI2ufMmbNOreb3y9wMBz+ajYeswlbFIrHc1KzeXKyGv4FvPNMqlcoLURTdmiTJyCAIKgCGqurp9JHTAlX9DsknVLUiIm3w9vGlj2aTrvjTjfGT6BBINdv4JGvsD+DH6SY9BMBRItLPnPbZIe4aWQdwjnkCdL+qHisiT6qqpNXabkEQzExn4f3NrNlcUbJqZoep6hvrJvxeg+HoSh9pfZMBI0wCwA4BYOVyuYueDC2MoqgNvtg3wTsxQb1eN7pw07J0I1xAt2v/tZl9n2QmCIKvqeptAKaQLMETj/NV9RD4JvTNNCk7FN49ezwFtI6BS6T3tK/HwoHA3XD8jpD8EYCJh1WDbRMm2Sj8FNS5plKPqggaDWubizVVAbSb2RhVfU5daKoLDtT7AE47ronIYnPZ5izc16Mh3Zw2g4+2tgNwhKo2JmbDb26yU+rOavgkFOA9DTZoQkLrr3YY3dF1QJqw50Skh02ygOSg9GkDRMSSJKnBOzw1kjfAjdOOS3O0bJpgLDeXjl4C4NBarbZTJpOZSXKDXC53fa1W2yTFdWxNZ1cdpKqBiEwzs/PNbJqqRkEQxKraHATBywAQhuHFqnqfqu5Bx0ecKyL3JUlydgqSTuj+L23pCLFnTHOWmV0IZwi1q+pm8NFFK4CJdC+Za0ql0tX9+/d/euXKlTuZGVKc0GskPwyCYNMkSR4zx6ksDsPwB3EcP0/HoqxM32czeqfraZJ7kNzXzBY3NjaOr1Qqt5nZxnC8xiGqWqSP9DIkD0iTldfy+fw95XI5T3LXMWPGXA7gLAAYOHBgpVKpME1WsugF9iwUCk+3tbUtTJLkzra2tjNbWlr+DLHOVdeLnhDQ1kxwTRRFewCY3tjYuDWAvxhDRFG0h/moZ5qIbEGzj/I1C8YlmWtaWlr+JXaImUkURQcCuEhEQgAvi8hpf0+huSfa2tq+RvJZM9vfzB4LguBtVT30/2JiAXzWufgkoij6CVzNb6+lS5ceOnTo0GdF5BuqeqKq3j9u3LhnVn2OmTGKouNIfsvMLiB5mqo+RPJQkr/rrYj574iecUpPhwPAWgBmwj1B1mvLYI1XQ1t7jcS2GRWjcSzCMT0di/Qz3gcX7Xq1ra3tCFW9leRT7e3t+7a0tIxU1RdV9ZIUFb5ejyR175g7d+6AWq12l6ruQpdb7q+q/QBcTvJAVT1CnAL3crrxHa6qDwZBsC58oV4vXeTraSXc9WRWs4/krE9+fAOoV3cGE1X1zsbGxu26urqSIAguV9VvwlvWoYjsniTJISTvEpEVSZI8JyL91D0Y5gPY/IdNiX0k+CtGAwBMiBl/vRIsNsearAlvRb5izq65Fe5LsSYdcb4YTs9rMuf/bwpXewzMrIVOO908DMOHVHV/M3ssrUBqZhaR7P9Kxva4q0GzvamIAtgxFcGEOglH8tN8PGHmZmMd8IrxfXPzrT/VarWpqwLj5s6dO6BSqdwAH1980czeIDkEbtz2y0KhcPqMGTPCXC4X4VPfEzGz5STXC4LgZ0mStNGxDafAOzOvA7id5CRVPSE9tjzJ7paWll2iKLpbVR9eFMpJbwa2YgPIbuvU7fXQHUl3M8cxNKSJ2mI6BXrbdHEHvKOh5n4Sb5FsS7ssO6aV+IL0PR+Bgzc3EZErZzNpuKGfXtTXdwoAx1Zk4eax1M1HGI+KyL1mdpyZ7QhPdjb1Uw+FY0sMfl8tBDAwTQxmmNnWdPbXx+ZMndMA3GjeFeu/NKDNDjXuBjAM8tyEik4VkdnVanVJNpt9FC5gtrM5lfcKMzsGwFT4iKcBzmp5TFXnk7zMHGf0c3Pw8F3wjuFy87HRGHFZ/omqulxEfpfP5/8YRdFMeJfhh/B2/2ZmthTAA+bKqXuQ/EhdvyMLoBtANo7jYiaTuT6fz+/V1tY2VlX/AKd7bkVyKDz5i0huQjJS1a3pQOiT4Q67j6RJ9JbwsdEfROT3qnoWgIMaGhoWVyqVufCuUDfJi5Mk+XUQBNep6igRuSWfz98CAFEULVLVw0XkdBH5+qqbcir9fS+AxxZTD7qk2bbUPsZxG8VYcmqXzIF7o+xiZpOLxeInIoKtra3DSZZJXk/yIHWg99AUa3NDz/jon4lSqfQ5klcg1QgRJwT8w0nKnDlz+tfr9edE5CQzO8lcI+ZGkl8tFAp9Usb/0+Oz5CKNKIpmkfydmS2Bt7Ibly1bdunQoUNntLe3T+xp3/VEW1tbi6r+nOQLTU1NF4wcObLS2traRPK+IAieUdURANaL4/jrvWeL/8645557gpaWltFJkmwvIpfABYPGknw7rdAeHzt27LdJWioO9jtVvVBELjN3uRwNYFs4q+UauFvjSZlMZqmq3l8oFHbtea9UeOZ0c12Jefi0Vb0EwKuq+oCIXE7yFQB71ev1b2YymRtU9ZFisXh6r/N8KYBDkyQ5M6W48rz+9qfl0JP6+owC2o875CP6ZqkkO5IkWQtATUTq5iqDb5J8MwiCl+r1+vEA1mCKHYAbW214ZT/lu0Hfpc62dSaHVUTNcSiheQu4liY/jQBgzr+PRWSOmQ2ljw5aAFBEyunfu0muYU6VzdCVNvMA7jCzLekyyTOSJNn0/QCDXspi0CJadW1jbruKJcONMwBsSfJduCzxO3D76U3gFeYwODuiBJcNz8M3wVcAvBDHcaeI/ADA1UEQPKGqb6aP7wyC4Ig4jn8B4EWS68L9QDIkO+EA2fvhioYhvesy27xlvtGyZcuG7rrrrvH06dP75XK5JwEcZGYvwA3qZtTr9Qsymcw0M7stCILrkyRZJM5y+QhuYf0dM9sdwH4kT047AALgFVX9cRAEW6bdgaZ0pHW3uulfleRaZtZoZh/SdShWpMlS8yJB9ZKm5K9orD1xdDe7tkyC+8IwvAbA0hTndAoAqOrWAHL0EV43ybXTTbczXdjfo4toqbkUfUjHnRBAK8ktVfVrTzfYXY/kLGO9XH+HKmad3R1MaVQcCN9wTVXDFNPRc/yT6IyAYwF8aGa/BLCRiHzbXAUzhuM7AjMr0bFJVwNYz8xeCYLgXDM7OZ/P75feVzea2VEi8raZnU3ydpJfTpLkgbT70G6Og3oSLtk+v5s4vG62cACYEZEzs9nsvZVK5T4Ae8K7WAG8IDg+7WjcQcciDYJTSUemie8TcDZRF122PtPY2HhID70yiqJL0gLsbjP7ctr9eIOuVRGr6neKxeKUcrm8kOQJqnqSiBzSW2k2vQelXC5fATf8w7M5LHwwp2snvTrwBsw+tBunb1+Xc0k2hmF4QxzHPzWzSwqFwlXlcnkYgEdIDq3X67uGYTgdwG7wkc1BJONMJrPhZptt9g85jpZKpW3pMuWD02O8qFgs3vuPPLd3RFF0pbmGy65xHN8ehuHFZna9iKyXz+ev/Gdf7z8hPksuALS1tU0wB8KtnSLob2hoaNi+Vqvtqqp7pj4bAD6Zp50OYH8A3ykWizNWea2sqt5Ocr6ZvQLgPBE5obdpzr87yuXyj+gz9i+b62U8a94qbaQDqDrp/P8mM5uvqr8RkePpbd2SmX0OPnO92cxOKhQK70ZR9Fz//v0P7uzs3ALAkWa2NXyRPDR9vadJhvl8fni5XL5ERJ5V1Svg1fB9AHYBMBfATwuFwtSeYy2VSqcFQdCdvs42AHa4u8EOez6jp/X12XJqc6/qDGrwjSZvTqeNAYiqvgcXA8oCMDpIsYfG2ZUuqjHJ6qNZDR/Pap8b0QndgpaYliYjPW6ZOfgsGfTyuktERFV7AJ+vk9zSzFaaCxEdKCILzN1UCeB1uNpjne5yeUO6iR2dJiNr0s2svkpXE92BJNRFuZakG0EDnZZ7opkNB/B1M5ueJh3bpsf4qIjMV9Xj4VX9h+m/t4KbjX1Ex1I8rarzSO4Vx/GR2Wz29iRJBqejn054Bb1ARE4eO3bsk3STuv3SDeXCngUuiqKZqbX9eSSPBfAwPIHb0Vxz4AMzGykiWyZJcqSIXGdmI0iC5CRz1dQKHJNydEtLy32lUmkQXS3zaDjoUswZJWIuntUfwDQ6KLgFwHiSTQlg321OrOoeNauGnbcyeGe4IoGPc5aQ3BhwuipdZ2YZXHxrIZzKmgOwKD33j5CcZT5uqAPol26wMbz1P3R6qPfc1miH9XVN7VDnO4dU5EJVfV1E4T81lAAAIABJREFUHqO7mJ6aJrAbq+pwOmizG8BQkt9V1bY4juMwDF8GEIhIleTxqnocnY7eoqrrkqyYWWeSJL8Kw/B5VW0TkdPM7BiSD5BcW1W3gY95C2Z2FMkL06SyWmbywS8bbWhdUACAZrWP96sHb25Tl/XNO0VVAO9nMpnxcRw/a2axqh5M9y9pBrCSjrM6ni60lpBcnp6/fiQ37N11iKJof7h5XFFVF5E8EcCRdLByz/VwPD5lip0gInv3kuVHa2vrUUEQXJveoyGAN8xs40lZPaAqcutKot+UUE/tWBY/MGOLLerlcvnXqvosyVPondIpALY2H3k+kF5jG5Jct1Ao7FoqlV4KgqA1HRcuF5GJqyY3vSMtLn9oZhvTwc+3NTY2/vhfUVwulUobkbxTRPZX1QcBXAlgc7p3zqR8Pv/kP/ua/wnxmbcIAFXdF8BT8Dbfj0Tk1FGjRlVV9auq+ruex5VKpW1zudxUAJgzZ872qyYWANDS0lJrb28/DMAgkrtmMpkDVPWKKIpOSTe+f2u0trYOV9VDzVUtj0w3uJcBPE3yQbgyXQSfmb8IICduexwD2NnMPpf6onxgZo3ZbLa7VCptDiDo6Oh40dxTIAQwRVVbRGRrEbmZLub0HEkjWVfVkD5XBRzdfjKAse3t7X+VVKlqDwq6BuCp/SuWDFf+dXfHDEdWZIiIjKAL4oiI0MzUzDrTTbMKX9xgHjE80Qjg3ZWMmTXtUZNsIf7L008Au9eIlpidPa+RPi8D78gsTzf3GK64+jEd6b0GXQgsS3KYiBySPm5MmkB0khxB8mUzuw0O3NunVqvdkc/nt1HVVgA7q+pGcPGtHdM/G9INp2dc0BXH8Y9J3gTgWBHZR0QeJLkbgFoQBFem57NH1+BdeNL1ObgD6wr47Hq5mW2qTqe8NwiCyao6jO7FsoLOxLmN5LEtLS1PpJ8RJOeZ2TxVPSEFLgPAkvb29iG1Wu1yc6n2nwHYTJ1RswGAfURkEzPrH4bhjmaGTCaTN7OyfQoGzJB8SVVvjKJoBclJAA5Pv5I/m1lNVe+CKzUOSZOfieY+Lu8AOI3k6yEZHlgLPtWf6RUBcOPQWHcws1+QXEkfE4iqTqGzKZ6EAxVfM6fwlugibB/CmUb7m9nFdAOvHDy5FfPO5mIAsiDgwX29NwDMCDWTbvo/pjt0HgPgJJJjzGyFqo4D8KKILIMn/YNE5MRMJvM0yR42T5IkSRMd27JuOn6cbt5Rek1EppvZ5iJyvZmdYD6eOCAtBF40V6l8uFgsTiF5gZnFHzAZeWs/26UnsQCATuGAO7LJhLZAhY4nedLMpFarzTE3yPs1gN+Jy6+vgG/ur8M3wVZ4YjrAvPvyZ1V9oVwuf9L1FJFukpn29va3xo0bt7JYLF6hTrN+nz5G7AJwE4BhZvZVM2vOZrN1AGhraxtfKpVeE5Efm2NzYrj+yLskb92tHly6dz1YeVCF82+Jmx6akQI34zj+AcnvxHF8qjkF/n34yDND8ksk7yW5XxiGx6fX+qbqyrN7m9nwJEmmtLa2Dl/1e509e/YG5XL55iRJboVjgGbU6/Wdi8XiFf+qlQPd9+S7qnp8er1+WUQeBlAUkdK/8pr/CfFZcgHAzL4oIkryAwDzWlpanp8/f34DgPHFYvHl6dOn9yuXy5eTvCRJksOLxeIVq45JesfBBx+c5PP541V1Qb1ev0hE9gGwUblcfiCVbP63Bcn7RKSeJMkXC4VCu5k1iUiXuQ3ymnCH0ByAq0ieDl8Evghf0DoALMrlcg+lgMHta7XaqyTPF5Hf0gGAW5J8TETOFpF74K3bXe1T8BYA1EVknbTi6zSz61RVAUxf9TyZ0w6/CeAr5qOGN3MMvnF2lzTvVpPaEEPSYLBNE+LkSlgZl0jWzPqb2Zpm1p5WLh8CuIzk1fAqA/CEQtPkoIfhEsOBbQsC1de/2S3zvrmS875Q49I9anzrtE68sV9V5ptjJ5A+HkilouG0XJrjQ9ZRVZpZLCLL089u8PFEj06C0bEVy801L44MgmBHddZGv4aGhvbZs2e/At9IO+hKkD1KrWunn20lXaa7Q0SWB0Fwqpn9hOTLqjqH5MEkrya5MEmSO+nt8rfS/+th+nxE8rokSZ4HcB/JlwAMFpE7zeyMNHnosVKfms/nJwHYoqmp6S+S5UwmM19Eukh+nCYRIPlaHMebZTKZLID2JEmeEpFRcGntUeYjjBAO+jxCRAYkSTKNZIHkm+n3Ujc39joUwBQ4cLQCxz5MFZGfiMj68I5BG9wRtZnkpiT3IXmjmW1mZi9uXdHJx3XxtbExbYiylgNf3L3O26/rDOvmio7HptfOKyRfFZFd6YyMUQD6k2xKkmQ3VTUzW1AsFvMkvwHvKCwys3fSRLZG0oIg+KWIfIfk/A5itej/wJPOe8MwPCmfz/+RLts9Bs5++cn48ePbCoXCkap6NX0cNExVtzQXTZqdXgvvwBVEzzDX8hiYHjfgsuUnwFUcN4R3yF4BMEdVP0y7LKeZ2e7lcrmsbkj22G0NeDxmHx1rEo9mdYWq3hcEwWVz5szZhOTM9LfjgiAYB8cTrDAHbv8OngxOMDOYWVCtVi9OkuQ76Xk7PYqi6+fOnZtT1RYzq2+22Wbr97zd+PHj30vXyJPhuikiIgnd4XaTSqUyOYqiVlV9XkQiM/vQ3KF3bzhgfG6hUDjLzK5NR9BJpVJZo/frA3gqDMON4WaIlwdBcEy9Xt+b5JpwHMx7Y8aMef21114bCiCTz+fL+Xz+BZIvkOwnIi9EUTQCAF599dVh5XL58jiO7zWXWu8QkaPz+fzxEydOXLK66+DvRVtb224AqrVa7UV4QnuPmU0cO3bsNDNbZ1UZgP9L8f/9WKStrW39JEluFpEPzWyrOI63nDBhwvJyuXygmU0UkedU9XIzu7FQKNzCv8FR7iuiKDoJwOc7OjoOaW5u3iOtIL7do0r5r4Y5mPSnJL/S0dGxYS8p7t+TfNzMTksXrddJrhOG4f7pzP0BAF8neaGZ7aWqnSKyFYCaqo4NguB6c7De1ma2iareDfeQ+IKZnVgsFqe0tbVtbe6mOozkt1T1xLSS3wzAsySfN7N94ZtvluQgc9vufmm1DwDvp3PoKfAN/AAAF4rIfUEQfBTH8U1m9jkzYxAEDydJ8sX03DeTLMMpZIPoioErSA43bzlX4J2adeHiPtX0ZwB8Q59vzl7Ipc/vJllR1UdFZDtz74UeXwg1M6O7kK4JVzwcYq4a2UHS0moyQ3KGeUu5keTjcHDdbunzu+ES1llVjemsjnXtU++ETHquMiKyIk1G5qVJ4avw1nEItwVfw7zyf8fMZsEZBceq6okAGoMgOJTkolqtdq6IfCFNtrpToN5wEdk0SZItxZk0zeYyyR/AnWCvDILgBfTSWUmBgkvhY4EVJEeRHGwOxhQzy8KxPv1INpjZDJKbAyjDcR1L6CJUH9RqtQNyudwHJJ82x6UcQMcHdcPbwIQnEjNUdfO0sr3ZzL5CcrSZjYDTURP6eGKyql5L8nck36YDLosiMjcdn+TMKZxNqvoS3Wr9bThmYCBd6+KuWq12YkNDw8EAvgFgVi6XO7lSqbwAH7ll1DU33gawl5mVgyDYWVWfvrNBF76UsX36uj83ilE5rTvoNPcqydFpy1uaU1Bfam9vP+jggw9O0vu4Q1xQTNLE5kv0btLVZra7mUkmk/lOvV6/juT25vTZtUVkGckuVV0XrqK5EO4/8ryqPgXgKADfJnkrgHtFZNAFDbUtlgTcsq9jbjIuumJl8JyqnlMsFuelIMP3AdyqqjsFQTBeVe8UkYPMrNPMPiDZQpcCrwKYnc/nty6Xy3fRZe5bSH4j/V7WJXlNPp+/ta/3bm1tvSkIguPhjLicmTWp6hIRaYJjY94Tkd3NbISqXiMiu7e0tNSiKDrAzHYUkSNF5Idjx469sec10+N/mY6bWQdeaHXA16SzzMd4R9KVkS/s8e8olUr7isjnzTWIhgG4Gy69P8/MNjaz84rF4n/Zkv2ee+4JxowZMzWO40OCINie5BhVfVJEDg/D8PtJktydz+c/9199n/+t+P8+uYii6CQ6ev1iAN/o0aeIouhhc9R2LkmSb6WZ8L/6HkcAOF5E9oU7Ed4On6VdyNTJ75+J1NzqDroD6Nfy+fwLwCea9ZMBTLuzn12/cd1urSge2iGRL4XAk3S65ESSv4RXPDsD+GO1Wr2wubk5TiV6vw+viNYyV0Jcg45dqMG7HfX0dZbTBblehW/i68A3yKXi8tlrkHwqSZIyHOz0OQCPi8h+5qOCp8yVTU8slUp70lHxi+CVbBXArmZWoI89SvCKXEjSvI36CMnd0s32I3MWSgMcVFlVVYqImLeQG+Ajgya4WFQDfHF+z7zDUC8UCpuUSqVrgyA4iS4sdALJBL6pV+CJxqD08T8n+UuST5rZ9WbWISLnmtmFJL8NHz9lABThVNguOCNgEcm8qg43swUispl59yYHT1Di9JzbR4L6a4FluwXdI2Ku2CRBDo4d6OnOAC5a9BCdFdJIH6mMTY97EclFcRwvEZGX4P4b+6eL6xyS96nqxeKiWqfCMURLSE6Ag/hCeOdgIHxMkAOg6rTQjmw2e3wcx6PN7Ey6CuiyWq22Q0NDw4vm3YvG9Nq5F8DoJEn2Jvl9ETkO3vVpN1cf3Bq+DvUXkbnmImhrpknbRkEQ3GneEckDWK6q5w8YMODulStXPppuGIPhCZqY2ckkDwDweZKLzBVVY3GH2WYz+0BEziL5rplNMbMbAOxLcoSZLU6fP8rMvg3gMThtV+EeECVzllY/OKBzxNtMjr65CQ99jL9kOhG0w7vw+DYarGEuPDWJ5G+TJJkJp5JvDE/YkF6Ta6Xn+FQAJ5McaWZL0oR8sIhclyTJwXQxuQF07Mk6ZvayuCruUADPwCv6MXBQagAHZIqIrEg30swtDUmllMHIVdcUANhApePMlVwUBMEBY8eOLQNAuVx+yxynUCf5ZprYVswsTNeSrvQeCeGdsJvpEv8XFAqF/aMoGiMOYm4VkXfz+XyfoyRzYauV8CQcAG5MkmSciBDe2XsDwE7wzf7QQqEwGQD+H3vvHWdldbUNX2vt+5Qp9BEERUVFgXPuMyBjARvYe4vRqLGn2WJi1NhiiUYTjb0kMYliSyyxtxh7byDMuc8MCAooolQp006591rfH+seRcU87/O9z/c+n6/P/v3mp8PMnHPutvfa17pKFEUXqup0Zt5LVcep6v2FQuF3gM2HAJ5h5gdhyFoTzNPkHVXNp9Ppg6rV6pUANiOi6b2f7d5773WjRo2aRkT3ENHZYuGDnwC4fubMmTf8O9T6PzOiKDqBiIbm8/nzoyh6RUS+x8ynqurziS/KPmuS4b9p43+Kiyh6WlWfJaITwjDcEABKpdJRqvpHZj4ql8v947/ifRLb3/NTqdT+n3zyyZKmpqbziGgsER3374hDXx6J6uM+AM8D2DQMw+8lEq3zVXXLbqZ+l9T75Z2M7Xv/pklIjqxw58YxApiB0KpkFzqQDMb/CBYKNlGtv90KKxp+ArO9nkJEg8jUCjkR2ZIsaXIAbKHoC4NMX2TmX1Sr1RVBENxIRPeIyM+Y+V8J2fNimIXzTFjLYSyMVDcSFoZ0u6rulPz/RzD4fA8yI6JGGCemW0T6kqEYq8QyDfrBCpP1AATe+32cc0NgDPAxRPRCstOuAJgkIsuI6CEyT4gdAZyilkkxV01n3wdmovQkER1IZi60O6xIqcKkkf1EZHlDQ8NW5XJ5YxF5ioh2JSPT7ReG4YkAEEXRFaq6HTM/TkQPisieAM5RswnfgSynpAkAiTl90nMpwSNpT2safm0kNPenPW51SnS0Wk5JXXIOexe2XpSlAmsvOHyeRPo6GbLTA1sktochVQEsCfdjAG9472cx82BmzonIQBhpbmxyvM1k6EyWmVeOGTNm10TS+iqAgqre1NnZeW7fvn3bVXXITCfZpzPwC1lVoR9uFvOMY8u8b2DXbalaH3wGER1Uq9U4lUrNgXEsWI0IvYUaytWpqnOdc8dXKpUlqVTqyUqlMiGTyfyVmX8nIj9PdsW7JsdcIaK/eu+3YeaxADwzxyKyXFVPS6VSc+M4vhVATxiGWwPAjBkzcs65V2A75FmqOpiIlpWhfZ7I6Dqvp8RXgH5DBLJrhbBlzP8gs4vvWekw5t60dLwXoG8FShsK60DR467ctPm21tbWzYnokqQA6J/cx8uZ+QFV3UFVR5EhGqNFhMiUGP3J1DpIiulacj17/+vZCMG96a49MNSi/a6sX7iI6bQlrPEAId02ht+u5j4m1WfIyNvyrsMPbqiLh60Nfj2w5ubuXKEsgNakoCgC+H6yeI8nosu892+RuRL3kCl5Zler1S2CILjHObdHcg0iGIr289GjRz9ZKpU+AvAygL3iOA7HjRs3f833LRaLEwBMAbAJmXy9EVZsBUR0fz6fP1ZVqa2t7UFVbUsKwOGwDKPdRORk59wx3vtpzLxHUtDdDOBWIvq+iNwK4A5YS/eopID9OAzDvZOiZnmyWTqgUqnMTAywLgbQpuZa2ye5Lgf2buT+d8f06dP7B0HwgohsS0SjiOj0MAwPi6JoWmNj47ZdXV0/EZGVhUJhyn/F+/13jG9lcbHD/BnjHHBgSjFk75rbefsKGpzIxZlM5qFarXY9gHWJ6Ll8Pv+r/8r3LRaLOxLRNcz83Vwu915ScPyaiE5e86btdV/03g+AWTr3/jcP4EgAr8LUGB/AKvkmGAFxwa11uuU7gXyFPd+gJGd1888HB+n7Ozo6lrQYo/o8VV2lqjMB7A/gJ2pBRhsnr1tU1Y0BXAWTn84lom0BpMMw/H2xWLzZOVcUkWtgXg/9YGz/wWqtg/lE1JZMVBsQUV9VfQ+2aM0hoqEA/grgflV9N9lt7kEWYa5qcrWNkmNXMrLZW8y8c7IjXeK9v5aZtyaibQBs4L3/KxHNTP7uFFV9mIjOAXA2bBEcA+NGbBCG4eJisbgDM9+mnzsVFmBFygA1ue5KMungx6o6EnaAM733P2HmB1X1Q5iKZopz7qB8Pr9zqVR6i5l3y+VynybQ55MABovlrOwLQ1E2gxVuTUQUEVFfEflkvsM2VzdIw9om/12rXN2vQkQmlyUYUgQY7wNkwU9dK6Dr/jMtoxYE6J8G0eYxdKcKNA3qgk3cniwETBN0h5JFbKGIPB4EwZOqOj9pT/0ChhJtLSJ9YJD9hqr6LmxRm0hGPlwB22EOfCUl6Xuy+hUyXD6m2o+6qeac+2scxzcz830ww6oe7/1o59yfRWQTAFvBCqcYtvP+YS6Xs2yZtrYLX3ZxfQ900uIUTTmsm88PbNdcx8x/EZEfJOcnIMt7IQAfqfXqzwJwCJkK5JFeH5c5c+Zkenp6XlTVnZn5FQCbi2r5ugatf9991X/lOxWuTarSMhifp0GN49IQq/RhRT2Ac5IibwCZ++kuMLIrkbWz1k0QgGWwwq1HLTr8z0R0HKxo71UOdSVvmwHwmqo2BUFwsvf+VJil+TJmvuPhID72X5mvuqQq6KYXN2o+CbCcJBF59JkMffxE2g+NE5UNg2THKvUcWKEy2TP8gpoUd2/YxmGFmq33XADPwazDG5l5KcwGfEsAiKKojYjWF5H6N9L03Ktp3WEJS6pRiQZ5PPqDMtdlQRuo6qVhGN6R8Bn+CmArNrOwcczcqMbnilX1fCLKw5CdGUTk8vn8LwCgvb19qPf+EAC/AfB8UrQ9n8/nb4ui6AoAP/LeTxo7duz0tra2g733+xDRJBgKOVBVf1soFK6aM2dOplwuL2Lm76jqH8QMAZ+AudiOF5GtCoXC/La2thtU9RARObK5ufmfXz7P/9lRLBavJqJpYRjemdix3wTbqF2chCXeIiI3NDc3v/O/+17/XeNbV1xM+qD1AlU9n9Ygsw4Sqh3ZrVdtom5XNV/3s5xzp3w5XOf/zXjttdfqGhsbhzrnhqnqABEZx8w/VtVHYLvg9WCFQjdMugjYTfblr+HJ712qFp08gZmHiMgDjY2Nvx0xYkR5zzlzMtVUV4//mus6PsYlR3fzJmQ2vdlkh/QJbFfUlFTpC4jolXK5/KuWlpZaFEX/ZOYfrWEf/rr3/mBmzjDzrwAcrqbe+JCZB6vB87GqPqZG0tpUTUY5iIjeJQtb63V47IFNDEeKyWN3A3BRPp+/s62t7Xsw5GHjBLWQZBKOyfwGYgCvENEIEdnSE1Ur0IZ+QWrPOI6vSyalTljU9CgiurC9vf2lUaNGLYXtyMbCVBzDnXPHishjZLHuJ6jqowC+l1yPjFjw1w9UdT1mVjGr71iNN3AATJmzGBbadLdzrsd7vwmMkLetmhRzCCzB9cFarfaLdDr9DFkbZ2QqlRpTq9VuBtB/SlZ1Wkqa13b9+il9+psu1ygin927ZAqH/gmSQctZ5fcNSp3QL5C11xHqPKubNSVads7NFJGRZL4Rn8L4JFUy/4H+ZD3qGqzFVJec6y7YYvmMqu7lvb8kCAIVkfOSwsQRkfcidF6jz3TwZ62bL4yfdvO7Iz11wTwRHlPV76qZNB1MRIsS9CSTXJ9rYdkiwwA88vdU9TdvZPiPQjSh9/WahOTgMj2VF54Hk+duAmuRfJoUTf1grYfVqtqdTqcPqNVqf1fVD5PjvS4Igk4ROVZVLyeiu+rq6g6ZUe16+/o6+UqBBACNClza5UCKGFbg94MVbXFy/69S1dOZeZn3npj516r6QeK4eCLsWe8hoheJ6DoRuZiIthCRqWTBc+sS0fGquq+I7M/MIiIDmfmXyfyUSp4np6ra7eiKX9bHP4WFjH1hKCDN3bXmH0ndKao6GUDTqlWrNqT+/d66uNGfe1iF7xzsce96McaRSbrXh6F9T4rIB2RhbdMAbKPWkkNyr9QlP/+nqr5VKBRujaLoIAB7v5nG4Xdmvuo/smlMlZ+W3Qcw5HDdZLMxW0S+HwRBvYi8DvNOGapmVre0UqnskE6nDyWiq4novmq1ek4vgXLWrFl94jh+nIhOAPA7730LEb0GIE9E16jq0XEcHzpu7NgPbpgdzXwrpZstYS0PFGBilRblfFAYDIwVkcdhvh7vARijqhuLyPHOueOY+cxcLtcOAG1tbWer6i8AnJzP5+9e273xvzJaW1s3Z+Yp+Xx+25kzZw7x3j8QhuGEYrF4FjN/nM/nby8Wi2/06dNn0pqBbd+08a0qLibNmz4WRO9gLcc9RGjqqYu6dshms42pVOqBMAy3X/PnX0YTvPdDyaSXA9bytWZiZQcRLYFBwd343HPiO6r6oIhEQRAE3vudyTgUt6pp/NNEVEdGktsaFmTzAhnsviMZhPouzBY7IKJ+q5n43IZ4o687/jDGlB/1uMsbGxvnJZHEp6tp4/8Be7huJaLd1uBwDEh2/YOIaIlaz3ksgA9V9YNkJ9AHwDyYg2WniHSQyTA/SibweQAmEdFD3vtPyIhqTbDiZhERPSMiZ6jq6+l0+vBRo0Z9/Nprr9X16dPnl6p6MBFtQma6BBia8fLy5ct3bWpqugfAvEWMg+/P+vVnO2KBUl9B53cqnNkipkBV5zPzqfl8/lEAmDFjxiHMfHUqlSrEcfwWbFF4F2ZBfKiadO+WZCfeBGCeqt5BREcCWM973+ac20JV251zLCJjiKhG1gOfo5avsCUMqiZYaNFDuVzu0yiKjgRwAwwBmkZEL6vq9URUFZFHYAvTrnfUo8/UlA5a2/VrBOLLOtzH+DzrYbGqrqeq98FUM+PvzPg93kjpWrNLvlNhmVSlhfZSyMB2cX2SIvDFBNW5XlVdAuWPIyPj9ajqE8x8HIAuNVOvWnKMdTCOjABo6CB0ntPo1+qECgD7lGn2rhWcU6vVHkmn0weQKRrGM/N8VX1DVXdxzh0kIjeGYdjy2muv1fXt2/cBVd3qd/W+8pHD0C+/ZoOi5+Juh5TgNpik8UFYYalEdJWYPXwBViB1JGjDyzDEY3Ry3bpghlUfENGnLwRSuL9Ov1bZdUmXK/f1ujT5uxEicggzn8WWMXQoTLL5YwCnMPMF3vu/EFF3QmA+QUR6ian3E9F7IrIxGfqmqjoNwJ+ZebyqnqwmB6Xe50lEZjHzUFgrco8o0DturpOjv+6zHlNx729R0VlsKrIybB4Zls/nLymVSg+rSXxvVmuBbQvgDRg6ultSXN5AptD5mVri62S1yg3JPZSCFdjPquqPT+0rDWLqlq+ME7v5kzHCDSJSB/M6uZ+I5orIbiLSn5nXAbCAzUzsFhGZDSsuD4aRfs9S1Xvr6uquqVQqLap6eBiGJ7W1te3nvT+AiHaEtXWHA3hVVXe5rEFmfOJwxJc/y4QqzT+8wgR7Hq4EcIiq/sE5976IXA3gX0REvWgJABSLxR8z82Xe+3Obm5v/8HXn/N+NKIoeY+bf5nK5V6IoupCI5ubz+dujKHo5nU4f2NraumL06NFvhGG4VuLtN2V8u7JFmHaHrr2gWsw6um/fvreLSAsR1UVR9AERpWATKKtqtVqtxsmO1bP5LXjYg+WTrxoMqvZI+r+wyaJBzTGzQ1UFxnl4UVUPds4NFfM9mKqqi2AOgn8DMNV7751zxwDocs79xHt/nJg3wu3ZbPasarXaoqp7AdiOiO7jlN6WAaKKvfdXxlY1NxlA2NnZ+WZra+tSNVfEZ2EeCZPJjHCOiqLoEhhRrgNAj5oK5CkAI2C7cU0e4sbkOGMReZKZ5zLzMBG5KwzDiwEgea1b8/n8ZQBQLBaJiJaQ8Tf6q+n/lYga4ji+u1QqLVULbnsrmQhZDdr2sJ78gMGDBw/z3o/odNj8Nw2Stc9gHYLVjMYpdQLqYRkX0yW9hYVab/VCEXk5juOnVLU3G6UHwFlkSpZNYYvtakrIlcwcqvkHfJSQHxcQUb33fjBZD32QWh7LquT7j8jMb2qq+isRObq1tfUPqnoiEV0Pa7seoHj9AAAgAElEQVQcpsZEX5K4WR6d7KJXreu9Yq3ODUCseAfWaprX0dFx0cCBAwfEcbwrjIT7JyJ6aY7TScBaTaXwfqCVHStGfoQVFxki4qSY2oyIOkTkTFWdlUDyPQDWU1PQjBeRGhlZdAVZ6wuqKklrZTUAlwYa1uzXfHk0Evch0inpdDpNFkUfkfF+Rqrlo8z13m9KROVisbhLcu1uXA3ZYuFaCgsA6CLURQ5vjVcaqeYcuhJGYK2p6lkAhqmFAG4KI/atSBCGDcgSXpeoyZF3JCN7Zpc7egjQY9f2fgQgCwaRnKGqU2AozM/VyL7Pwto6bbA019WqejYZ8fgjETmOiB4BsDkRbayq24jIs865ndQkpY+QWaZvCluw06qKdDqdq9VqDwMYxcxjYBLxJwEsWieWryycaw4xd9eZRNQmIgOJ6AdBEBwMAN77p8iSipthrdAMbE47wHu/t3PuabIU4vYwDP9QKpV2SQr9DrXo+JAMSTyRiPKd0J6vKywAYJHTwaNiuWj58uWX9e3bd0wmk3k+QeI8Gfq2CIDkcrlXSqXSb4joBgCPh2E4F8Dctra2h0XkhHK5/DbZRvGN5B4ZTkR7ee/Hjx07dmEi+T+kw2HrxY4OX9sd+WYaG+xfQ2eDoIuI+hHR9r3GXVOnTt0+k8ncoKr7zJs374oRI0YsAoBCofCnYrH4KTP/OYqiwWEYXvTvzv2XR3JPr8jlcq8khosHNTQ0bJV4atQ233zzZW1tbWO893P+M6/7/8fx7SouROtAXwvWZLzqXmyVeg9M8tYDq8w9DMYsq9kQlwF0iMgq59zKhFS4KlkMu5h5tYiUAXSKSEc6na7EcbyaiLry+fxnITTFYnGAqj5ARO+HYXg3YIuxqk5hZiUjjb0IoOa9vyjZQeQAfFIul/8JIxzdHobhTymRyF4wp7j0xZSs++WD6ytYGnrqAvQxAAeSSQqdmhdBh4h8BEMhxmrCCIctIh/DIpNf997voKp7MvNNMCSlIiLziegCItpEVReo6u7MfDXwWVDa1jNnztxjLed7YxHZG8Aq59zjzrlLarVaL3M7hjH+e3XrZTJC2lAAm4jIv1T1h6+k6E4YpP+FoQCeSyvGi/vBvffee9shhxzi29vbj1YzqRorIns2NzfPu/fee58aPXr0P4joH977Acx8FYBVzPyhiCwlojEi8hEZ7+JTABPVZICDnXOPqrHTF7OlpN4EYGkQBJO893fDXEpPJqI6Zp4CaxuMFJF+zrkuERnFzL8j43NMUGv9dE7w7smX1R++ir5YIJICx5ZpcwAP5/P5S5P7ZyisQJitqr/23i+oETphffKvjDaHh2FS5DSZZfFfkwJzCGx3uAKmWtkChlBUE2RGYYVmHaz46k0qFTIpsEt2nMio0sYx8P5aZhaninyMIWzBYTUyGH47JCgKEU0EACJqgZH5HiEjeAY9TNCvLVmAVawBQOvBVDnDATyl5p44gpn/oSbr7auqKTUV2ARYzHsVRiQcB1PYjAKw0e5VyOspoLKW6WIzT3FGBADuImvV1QNoZuZ6WMpp/6SYqE/O1wawXfpEEXkXwKZkgWxZItqImf+kZoceE9EYtZbhoIT8O4iIpFarPaKWutqYFL0fwDYufgjYNYnoMv6qSV+9QsfWMB6mwDmSmSsAGmu12iNRFAFWSAxPXncA2dheVWc7555PnusKEQ2JoqhVVUNYIdCXzNJ7GBEtI5PESoa5SipflymGALyKmQ5qamral8zY7EPYpiVDZj43TFWDUqm0FNZ+EQB7RVH0elL4gWwOn6vWktw/iqKjYaqsFUEQnF8qlT57vzcC/adAtlnbZxEof8xo3NTr7WEYnrXmz1paWlYBOLJUKt3b0dHxerFYPLpQKLwEAIVC4b5isbgCwH2lUmlYPp//8dqP9ovj+eefD4joUmY+GABE5FAiejBBkY9Qy86BqhZgrdtv9PhWmWgp81ccNT//Iaang+AHMCj8CZjeOq2q68EeviEikk4ezjne++edcw+JyMvM3E4myUonD8cEZt6TiI5yzp0nIlcQ0e0i8lwURVN7v4jo6bYUNri2zt+x17wZ8YHzWzv+ntXny0yxqp4MYCsiOoWIJifw4JVkZLWUqv5SVa91zn3y7rvvDi0WiwNmzpw56DtVWjWuhucyMIkrASjEpGf0uDoWGaGqZ6vqBmQoRTczzxCR25h5BlnvvA8zv6eqf2Xms3K53E+I6B41iLzEFru8BYB31Vjkq0XEA0gFQdBNRMNyuVyxtbV1sKpexcxHrkW6tZ2qHgyLUR7ivffVavWfyc4lKyI1GLu7nFyHa2ALAaupOQYz8xbzWVd/3eVczArv/bOjR4/+UXt7+1ARuZqIRES+09zcPA8ws7Pu7u4fqDkxfp+ZP4QVhFsByKvqMjK/j3kichBs8fFkvhgj1KSU1ya8g5MBtMdxPAfW9undrVbVAqROU9UXYOTPfqpKSTvoYDU060UAn/RTeunn3W7hqJiWZBRgBeoUs08oc3lMzBVVPalUKj0ZRdE059x1sGTMegDvM7MLY/raDcMOZamvVqv/qqur+weAhWEYXpQsDDNgbYQHiKidiN4noqeI6A5Y7gXT58TCVQCWsjlLKoykCDWjseUA/KEVrvYVfCHiOgBwaMVpPzEkSlXTavyOXpRFAXxK5sLaDeMlBMniL/0FEnw9IIJ+sUZqpNKVAH6pqtfDULfbROTDfD5/iPf+F7Bidh+YCmKhqr6thox9AjP+qlPVZQ2isw4vU0/GNhafDaeYfViZO5Jn5SNVncjMj5Kph27XxCE2KQSqMATDE9EDMAnwSAB9iehh59yZMLdPD1PxLCTz03hNRCYz88tk7cWuZB5iGMH1IzW3yvcAHEpAx5EVKteDvpCemQb8YWVe6bzsEoZhC6zwet17f0AYhi3JV7OaI+qJZKhUl4h0ALiTiBYBKJE5nB6SnNtPATyrqjNFpBIEwdaqulpVdyaipYHISxsIlqztGhE0XqcmFyfzRQ8zHwZrB56WtDRUrQU3y3v/CxGpwgLeFPY8zmfmX4vIWSJyGix9+s9qSbvvwlx0b17z68PAf/2cbzfYaiLaJlGsfGV4709LNlgXRFF0bVtbWxoACoXCM2RhdN9pa2u7Rf8X3JebmppOVNVH1wiT/EniPQQA+wdB0Iuy/l9RXHyrOBdQ5UkfFJ8DdMcv/SQmoj2uW81bENGKtRm9zJ49e3SlUpmkBtnnAGyoFmjkyIyYFovIfACznHOvV6vVp/+jwLJJH7QeDNV78aXrMFxo5Zk9wVKyhWkErI3yDmx3dBfMg2JdNW+HJhji0AumBwBUCX6ZCvcj5rSiBmPeB7Ad4WI1OdZ8GEx8Hxm58Ejv/bnpdHpIrVYb5ZwbT0QbiUkWNwLwJMwf4kzv/d+dc7t7789V1aeccxuo6ioAh+fz+S1LpdITqvr7QqHwTO9xzZs3L9vR0fE8ma/IdNhkey1Mo7+xGsT+AjNfWKvVbmXm7Zxz41R1oKo+A+BGVf0Zmc/G1EczEv4rrV8hsQHAOkpyfifPh1kKMyxyfP1ly5aNnzx5cpxIeo8AcBpsIVsXgCxkzSxkrfYjJyNqIinFY8z8UfL5xqvqn2GIxLpqUPtMGAFuQ7XWwANkXgvDVPVOVd3TOXeaqo4Xi6lPqSqxxbB7MiniujD4fImqbkoWXNZXgZc9sH9gkzpgnIE6mOy0i4jmqOqzqvoiM28N4PhVTNE1dfH+yxgNXzwf3HpOh9YFxDGbMVyj9/7XzrlLAQxX1feJaGsyJUULjEPTQUS3icixMK7CUyKyATPvlpxTIEEwYAsfAehW1RXesb7h/JCPGNUBgvQ4Deb26+oJ6+rqTvXeX0BEnc6536lqXlV3EzOQGpAcH8FaZapGylQAtX9khF9IyVeaRht7xKd2cY0NRfBJcTJETeoaicgWsEVyXWa+V0ROSqVSk2q12jYA7gIwiJlvVQss24/MBG4bZn5tlcr4YqADOhy5AV7njPO4IaP8U5hz5htEdF06nX65Wq2+pWaHnkmKRUfW9mmEoZ6zAJySzWY/6OnpORGmznpYVU9NCixm5vu992PJHES7kmeaAYCsbbYCZk42HEYkPUlVrwTwPSKKuwndbwfSuNih1qi0bGKVUoPY7ZOYBJ7mvb+JiCr5fH5LWsMMsFQqLU5euyPZRCwHsLqjo6PQt2/f11R1E+/9Ls65F2Ebkq1F5L7ks18ax/Glzrnfkvmv9FnqqPKHOr/JUvp8wQ0UukPMjxxYph1hhmx3AdjWOfe9XC43HfhMtn188jofqur+hUJh7iuvvNKnX79+byXPyWwAq4nocVhWy8IgCPYrl8vbOOfuJqJbKpXK+UmE+/c99IwLGnXkKtKvbKTTipVXdLmOTJDaplarPcrMB66ZIt07oih61Dl3tvd+ZwDfB3B8GIZF4LNckNdU9c0wDA+kr/EtamtrGygiz1YqlW1bWlq6i8XiBGY+OZ/PH5FwzF7q5VhEUfSYiPykubn5o7W91jdlfLuKCwCT5s3LNujq8xpUT60wpetE5yxxdNRzGzW/k4TX7PWf8Z0AgNbW1hHMvK2qbgNjKg+HJaum2ZI7l8FcDN8loreY+fFcLrdo0vzWdkBHr+01jyrz1C1rtJysb7xdMklVmNmrMflXw/rv7QBmeO/nZbPZ1dVq9XJV7ReGYUsURdcS0VFqLoENavbc9UTU470/lZlHwPJFHmDm9dXIWo+qGSANAjCKTFNeSb4XNqvxNKwgm0tEjWpEVVVrO2iy2xIAD6pqDzOXvfeNbLbJy733Lzvnvquq/VR1EBHNI6JWVf1lGIbvT58+fe8gCB5xzk2O43gCM++tqg8DGEhm5zwIAM9P0TtXZeKt1rZn2L1Csk+VAduN1pj5PrHwpSrZqhXDCq7LVfWW1QFf/Pe0P7Et+PzV+gvig8v8WrOnfsk5H5vs9Oeo5YFMC4Lg2FGjRrURkRSLxe8S0VkiciYC3vO1AKe9HnhaySRNXuNdKlQLhdtV9QoyPsOpAHJqKp3e5FWFkV17bcwDGKrwDoAWMkvmwWreBcMA3KPGK3iwVzX0Wmvrzm9k6daPWIYFQHVeik45rzv1phPZUVXPgGWNbERE3UmB0wTjtniyNkQ7DKWZSOZimQLwgXOOvPfDyLhIKwDM8t7f4py7EUaGfDnZ/W4NK3jLyf1bR0Tzk+JLAbzvvb/YOTcFViinybgfPvndLD5vSz4QBMEfarVaQxkY/s86XPRqIMMrJvfSbWpEB1Sd1In2qCEs5d73To5Jkwm/Ljm2bjX+U6Dm1cBq3i4eVoBuJSKdZETil2E5OcvVWhy9Tq0BrJUzn6xtMJ/MrXUDMjdOv5pQW0pSN0Cp2rfmLwuCIFDV9fL5/A+JSJLgq+dgxf6A5P76FMZ1qsC4TFUYOnEHLEr9Pma+QUTeYeb9c7ncP6MoepCI9oQVIq+JRaLXYKZ5D6lq3jl3dRzHjzFzk6peFobhH3vv8VmzZg2rVqvvMvNbIjKEmTdUa/3W5/P5dUql0rtqUvilzNxPVd/I5/MHR1H0Qn19/f6dnZ2XEdFhzrlZam3R/QBoDEx7M6XDP3ZaN0ioz9iYegYKVFUPBHAzGQI7l8w/52ky5dCuSeumP0z+ekEYhncCn0lPXwTQUavVjkylUufDjN/mwVpgjybF6i1qXJAaTCm29+wAG/+1TtI9a9ieZ4H4yB6Owho+LhQK+0RR1ALgpmw2u0tvmmvvKJVK+4rI5EKhcFpy3f6iqg+FYXhFci3XTfw/PqhUKju1JPkma44oim4E8FIYhvcAQLFY/JuqXtfc3PxGsVjcn4i2DsPwnOR3Z4RhOPbLr/FNG9+64gIAkkVgDIDjAVwahuEfE8ObywuFwv7/le81b968dVevXr2Vc26iiBSYeVMAQ2LV9M/7+OzX4bzjavTP4ytuCAz6+xTA7qr6UX19/eGbbLLJV6pr4DMr88cATCkUCleVSqUrVfUkmC1wD0zm1SWWyMmqeikR7RSG4QltbW1jxBJhj/feH0NEJwF4sFKpXJ3NZi9X1UNV9WfOufe89w8T0W+JaFMR2SshOn5EROsR0SdxHDsiupCZ+4lIlplbkknnX2RthuGwQDFKJv42fA4/N8JMtTqAz6SWJVjU9HhmjkQkT5Z0mHkjDX4gq1z+HDHXlhrhiB4qB5Y1Uq+fE0J7ADwGYCtVfY3NNGsLIho/JStDpgbyld1NRlE9r8vd3V+xI0zSGDPzGWLGPO8Q0QerV68+euLEiT3t7e0bqupPReTHt2V8Zmr6q5ymfSv83mmbhZsRkUZRdB2AHybFT6MaZ2c1EX2cnKOBMFOoDIAHRWQUEa1PRNMAjBERIZOT3kXmINjrqzCMmfuKSKiGcLwO4BM147R1AByg1tJh2AK2EMAtqnq0c+77qvo3AO+JyAQyu/OPYcVEMxHFRHSM9/56Zu6CqVQ2F5FeH4ZrVbXsnDtRjJewHlmabZwQmj+FeT54mHfIumTpr63e+yfYHDQhlikxNSkw9gHQ7px7II7jG0G0ejnr4ovGLN/l+lLTbJh88m0ReZCZj1cLf+pHZrG+EUwiPByJwykz9yQFTQygTkQWqqok6JuHLe5pMk4SwxYqJAUA9yIN+LxN062qjxPRAd0E/K1Opejks2d7TA21w2tuSd9Y3yNTivWo6pZE9CpMXTYiudbz1LghA4joUSKaLyKbU6IiAbCkq6tr+/r6+uVEdASA/VT1kCAIDqlWq/sx8/eJyFESCJjL5Q4slUqvMPP3RGRHGMfm54VC4cZkvmgUkadhbqGTkmv8KoDdAbi3uXb8AAr+uK5ieaPQUABg5s1yudyiYrH4DDM3AXhTjdQ8gYiGqOoHzLxIRC5INiqzyYir84loQzKidh9V/UuhUPjz1KlT67PZ7M4A9lHV/VR1IDOvzmQyYyqVyiXJufhJLpf7tK2tbVwSIf8JrIB8pFKp/CadTk8kU3QdDivEn1XV95n5aLV8mZ73qHrM1HTww3nkyx+n+NljO2vvjJPMc6r6p0KhcArw2bpw9MyZM/dfs5WbeNVMq1QqE1taWrrnzZuX7erqulBVx3rvjx87duzCxBTrLQDdHR0dE3rjGJLzPEZE/pDP5ycRkSao6f1hGE4AgMTT4ubm5uY3ktd5IAzDnb48d3zTxreKc7HG2NU516qmztgUAJj5MGb++3/wd//pMWLEiEXNzc2P5PP5swqFwl75fH6zfD7fb2w+32upvdaxidDuMBvmEQD2EZE7VPWvXV1djxaLxT2/5s8aAazvnJtSLBZHJQVBN2wCWx2G4Y4isiRh919ERBeRxTDDe99PVTcUkbeJaFg2m90+DMMLU6lUDOBgNZvpJrHkwKfDMLwin8//mMxSupTsGL33fiwzryaicXEcL04m7HWJaN/keAbBdpWriWiJ9/74MAzHhWHYoqbhB4CaiMyL4/i7RHQjgJFENJWZHxKRf5H5MDARLZxQI7qgk3F0mVcdVubuc3pc+ageosAW5EUwgmZZVZ2Y/O1QWGvnIBH5paruGas2zVhLYQEAFUL61TT6AHhGzWwsI5ZC+kGC/ExtbGycFUXRXO99q4jsNzNNf1pbYQEAT2Zk3RltpRuKxeI7zrnJsB1nnYh0w8ywask5GqCG/lRh2SvbkpEre1R1S1jfvgkWdHYEgAOIaH4cxxcx806q+ickbo6w3XE9EW1HRjye5Zy7W1Wlrq5uDFls9ulENMx7f4uqjlbV3ZxzPyOik5OicTgRrWDm41T1J2RE1AFqGRApAFKr1Q5cvnz5g8z8KxE5iZmHENFoAFDjN2TU4urLqno/EZXJWh8rVbWZmc8CUBaRTufcNDVDNd/Y2Lidql4rIj8lonUIWN0kFF7TOuAwmCFSDCDNzPtks9mtC4XC1WEYXpjJZE5W1ZuT+wDOudOZuaSqJzLzkck91ElE7cw8SERErRVZnxQWgBWktTXOYSq5Jj0AlpNxUeqY+bsAeEpWuHWNwgIA2lNI/SUjw4h5e7Lcle2SwiwkC2O7GYZKrmDmNJvPx3gR2TuVSt0OYBaMmzCgoaHhJmZeDWAKEU0GMG3MmDEPqeofmDkgM6LrUdU95s+f35eZf+29/zUR7UFEzxLRnlEUnaHGX7pTVe9SkyBnYZyM3y5hLL62XjK3N/B919bLoHMaZLPbsoJuxpPe+xHFYvHZZN74OwzRHENEgwG8SkQrReR4AFfD7OQ3BTCPjL8xW1V3iOP4MgCTAaClpaU7n88/moSY3UV2Q3T09PQ8pUYWXeS9f75UKk3O5XLTyUi+42BhZ2/V1dVtQRarPoKIPkiCAmcT0TEiMiS595aNROa9Q8vUfXoHTn1+w+brmuPUbNhma2IURT8BjKipqtPHjBnzmzWf2aTQeCiTyRwEACNGjCjn8/mzmPly59yTpVLpsHHjxq3MZrMhgGrfvn2Lc+bM+YxU7b2/kohOp6QVVa1WTwBwY/LZGMD4QqHwVnKPNuP/Ar4F8C0tLohoqziO1yeih1U1BwBqvdbH/g9+CFHg8bX+CPCb17BCLF9hExFpYOZDmfkyItqUiB6NoqirVCrNiKLo/mKx+Kvp06dPSsK9Fnvv9yQLc/o4QQY+gflhsKqepNZi+a73/iRV3S5pn9zBzOneoqIXGmTmu4koUgsqOwLAMBE5vfezplKpd2G8hgxssm1n5kNFZEEQBH8SkaOIaCzM2a+FiGJm/gOAaaraP5VKPQgAURRNgk1IGxJRxMxXJTDnsDiOd8jn8yeJyB+J6ES1lkAalqWARoVuGbObWKNX163pp8z8cbJb709Eh4vIr2CIA8O4AwvUWhCemZ/ucmjtjUNd20iJTFLVo2EmTVmYomJjEVlHVS8j41+snxSri+fBr7XVBQAx0LjC0cFEtIH3PgfAMTOYeTZZhsvTsJ3zAc65m2CkYgXQV0ReVJNMLiaTDh4GYG4QBBPIckVOYuabRaRNVX9PhkwMgkHMGzLznklBiCAIzgOwsFwuvywiIczzI0NEY1X1ESL6s4hcpaqHqLX1+oqlc9ar6shk1x/AUIhVAGYEQXB3U1PTA0S0DhG9rebu2glgsXPudAB3qOrf1Xw1Noft1uvIlAeXwnaeVTIXy5dV9T5VPbmzs/MdNhfVrQG0s0XJr2DmW2EF9WMwldPlI0eOXN3W1rZpqVT6bblcfpuZxwdBcCGAt8eMGXO19/4gAGd47wcCeEVENHk2niOiqwA8niwCBABJQRfDeBOzyXgUvXk1A9SC21RVe1YxgpmBrrWonO+UPiRZCCtUamr5NhVVfV1NgtvqvQ/J5MwKQ1vGxHF8N2xz4JNjPQJ2X3NCvPywWCyeHATBgyLSo9aa/Ieq9nR1dc2BBcENA7B7HMdXL1u27AAAo0ql0luwjJQfMrPA2oflxVxdeWW97/feGs6kCmBqSvvcntVtiOhsZj4/uUanwrwn6onoeNh68hQRnUlEy8lQsrKYQd0OCRnz0iAIbiaiUD/n7aCtra0xKdCWqGp7oVDYQlVPFZH3yfgm/4ii6D01TshvYc6w14rIj0Tk7Hw+v4OILPXef4+I9lNDpt5JnpVpIvIKgD3T6fRuc+bM6Zu0sTWbzU4mou2jKLpWVTkMw/NVdcNSqfTDNa9fsqE4bs1/y+Vyz1Uqle1Vda9SqXRvZ2dn3cyZMyeIyPxyuTxrzpw567S1te1HRJ/k8/m3AXODJaL9s9nsfclxT1DVN5N5Gslz/T/FxTdxRFG0CRHNJ6LdmfkeAEOKxeJ4ALN6Nc7/p4bE7lQ186rPBgM6VHDpUPB7ZPkafWEhSi+oudbdr6pHk5ne9FXLzNgnCII7iehymH7+VgCbich6qvqJqg5i5jnt7e2F5ubmLgDfIaL9U6nUXrAFYn8ielhEXlyz31gsFr8LYKKY5e0SNb+LJ9YkGo0aNapDjaMxWs2YqMd7vxkz/1REboHtugfAoONnO6G1Z138o4eysu2rafA/pWtAsVjcS81Qaihsh1aDFSLHAHg1lUqdFUXRNDJ/gLJzbhbZiGEQcxnWA9+BmePkPYcCGCgi1wM4OVm8F8EklhvDvCCWiEjYEOuYlJE61zqGgGpkcLODEQ452dUmlwwryRQXA0XkpXWUwn933dMig4hoIIzzsVSNlLmRiPQw89Gw4uJCsdyB7uR46pn5BJg1/SIReZZMeTAjjuOH4jj+UERWEtF4EekP4Ak159TZsDj3jIjMaGtru5CIgmq1ehczD1DVN2GqpAyAU4hoBptU9DgYqjKeiKYAqDHzTSJyKRH9DsAcsl18Z3IuC8w8EZbd0kNEP4e1jW4ha8Udr6rbEdEvAPTahZdhts4fq+pYVT2LzOl0KIAjnXM31Wq1PMxH4mE1hcR1YgZUA8h4KkqGinkieiiKopmqerOITKtUKuPz+fxZtVptFwB3AkBzc/M8ETmWiK4h473UwRCEnVV1NyLaHYacTVfVZcnzc5ta6+l7+Xx+HWa+lIh+l9wD3bD1t34pYcG/u+4rHfrA0IH3YYXc+sy8EYAz1PgfNRFpBFBl5nOJ6EMYsbN/HMc3JcVnFwzhWk1EmyTPwhnJPbOSjAO1e/IcODXS8XhVHeicO6WpqelWWNDgRoniYhiAy8m4SJvfkeHx3bR2P5H2QIYthzyjqjcnc8FKEVkhIqfm8/nbnXOHwFpYu6opOBYCWMLMx6rqIu/9vObm5gtVdZaqDmlvb//MiVZE/qiqT8JUYQIAhUJhbhiG14ZhOJGILk8KpxY1jhGr8WB+XygU2kul0lHMnCNTnIHMWn0DVT0sn89/p1KpDCaihd77C3p6embCkIOgWq2un8vlvg9gRalUunfatGl1HR0dx6nq0cmGB8l98xGAzra2ttya56SlpWVVGIZHish9zrnnRo0atW0Yhrup6qvlcnmW9/43zrlze3+/p6fnMAD3jxw5spIc937JvNY7QvxPcQhN8hIAACAASURBVPGNHbuKyIsAhuVyufeIqAPAMf9ftET+o/HSpuGCzmXxWIIeoYrLFXrm2V0876xOzuRyuW0AvAVTCuypqlsT0ZVEdD0ZyXIHAAsTVOD6IAi+C5usZ6nlPlxNRO+REaYGiMh+IvJmsVhcQUT/gsH7P1KzJd4HFqI1rvezRVHUQkTnqOorYRguaG1t3S/Z0b345eMg051ns9nsGQCGknkoVIjoTNjkfW57e/uwU/vpdb9qiAc+kNWmZ1Naf09WMs82pObOC/AQM69HREPIYraXwYh0v1FzBe2C+QSMYuYTEtj1I7XkTkemwGDn3DI1yd5KVW0gI7YNh7Hgh4vIu2SIR3vymgsAfNcRzd4q5rlru0aDhaphzJIc+2rYIlaGSQhXJce/jpqKKGDms8Z4GpL6GlOGdYXK/ZXvUyPJxjCI/Uw1d9CamIfHkmw2uy0zn6SqbbBdZZXM0fRUVf0Atms+lZknA+gTBMHRZIqEl9hiqjdVQ6qGqBEY+xBRg4icD0vO3CkpCvdjM4ZTWE7DWFWVIAjuYGafFBBnw+Suc8ks3PcHsFmysGcXOz2SmX8Em0/qk1bMYgBV7/0TatLnnWE8BiZri7hkMblEVZeGYbhvtVrdTkQ61UiXW4nI7FQq9UMROUJETmPmhWEY3kLmy7FUVV8l49X8JSkcVVWHJqTGv2QymbeLxeL1RPQjIhoWRdGlURQ9SpYdsVxV92bmJ5C0PZJiaymAB5n5aSJ6lSxmezvn3GDv/b6lUulPyY76FLLe/z3JfdDV38talUu9o7/wJ6q6WI3T8hcA74tIk6reA/MMycI4KhkRuUIN4XlUROqDILhEjQ/SoapLiehcACu892cT0d0w59/31MiYy1X1BhE5TlUf8t4vh5GxX1VDhPqqOZGCmRep6jBV7Sai9YcIfW3EtyqCHqajk+fgSrVcnF8WCoWHAcB7vx6MSxUTUR8i6oSpzFYl9/muAFCtVncGkPbeXwtYOiisffkCAHHOfUFxUSqVfgfgeDIVyzXJM/EpWXt0WuKJcbCIvCIi+zDzShjytCQMw5cAIJvNjhSRl6vV6kYALgIw0Dm3QlUvKpVK7xDRUGaem8lknm9oaBjknPsugGuiKNqk93MQ0Z+99z9Y27kpFAr3OecOAHBBqVS6xjl3hIjMJKJNq9XqwDVe4wfM/Kc1/nTXSqXy3Brf5yuVyhc2nN/U8a0sLmAP4gsAwMxtRLR7JpP513/Hh5nW0lJ7fqNxf3txxNhfvrjRuCuGu/ReAE4plUrrw6rYyTDJ5rBkd3UTEc1dtmzZ1gmC8QcAN8Rx/AqSha+urq4lDMPzAPxZRKYAaGXmK9XIVYtF5MXk3+uJaLM4jl9R1WZV3SmKohVRFL2oqk+oakc6nX4omeSuhqk/dgCACQteqwMs3U/NHW9hd3f332BQ9ziypL8rmXlYGIbX3ZfLOVW9o2aEts9GN1NwW1ZcLNKYLLhVVc0R0Zuq+oCaeuAIZn5VRG5M4Mk+qjoPNoGkYaFp3SIyFIZMjCSiBu/97WT+AosALCBj5S8goqMA7EVETQl61XBoxeluNV7grJcOAtAck57Sw9XAVAyLVfVKVW1V1XeDINhVrVXUoRZcpQD6EBEalYLDqu4rRpt9FDi0h95VS37tgU3STTA78H1hC/I2AOaXy+X3ReR8Zj6eiO5jZg+Dys8AkGfmZ1Q1EJFVMLXQn8n69+vADIXeIyKQoXSBWqtjTyL6RYJW9BDREufc31R1AUydsQ4Mfp8Yx/HhIlKf7BZ7T8lIVd1CVbcQqD6b1uDcBl93Sb08eHpDfMv9aZ/qEokANKtJrHcm43PUAJBz7tnkfZBKpc6E5YC8j4QY2dLS0k1EysxTOzo6RpN5vBzDzNPVeAQbRlF0qKpuTCaT3UKNILpFuVweQ0RXEdH7zrnTmPn65N74MUyW+mPYrnpjNtXDAADqvZ+UFFA9aiZ1Tdls9hg1SWSvFXWdiOxGRIeqBYx9zMzfgaEFB8H4GB80gZds4rFW75UhSp9uoPS0Wj7NBJhL66rkmT1GzZFzMUz9ILB2WKuqbs/MU1T1b2RRAOsAWF9ErgXQkJBT91TV4ao6gkxGu4GILCaiMXEc/9g5NxzAyyJyDhFdAms9Da5Wq7sCeJOspUGqmt08xsZr+/wAwCDNit4eBMFhAH5IRAvCMHxaVSmKolMBXMvM+4rIxUnxOIaZf0jWnssw867Jda4R0S5ENHHGjBknq+rRHR0dp4sZD35WWLS1tW0XRVFRVY8VkTPz+fzYMAzPUcv3WAwj11Zhbb9lMOM9p6qjYanRdyXPJUQkR0RtLS0ttc7OzjtUdZmIvKeqwwCcKSatFQD9nHPt3vvTarXa2QDunjp1aj8AaG9vf4KIJk+dOvULc1jvyOVyH4ZhuAvM4OtNMjL0Fc65N1pbW7dpa2vbDsDcXC63KHm9kUQ0v6WlpRsw4iiAdO/33/TxrVKLJKzf6UT0ovf+oebm5meLxeLVMELNDv/dn693RFH0KGx3+fswDP+oqlQsFs9m5nPZ3CCzMJ38n9RIT3sAGKeqncz8sap2EtHzzNwZx3GGiH6gqhkiqjDzyN72T6lU+ruqHuCcG+W935mZN4njeDwR7UBEJQCFZPfRCCBdJSx6MuWbXgpUKoyMUyyeHPOS/aq0Lgn6qUkZswD+1NHRcVovY7q9vX3o40Ht+4+n9fKvO+ZfdrnVG4B/5r1PkcV7T0gWkWyyq/pYRBwZ52SpWhgawzwfbnHOrSMie5NZSfcQ0b0wPf04MmXJmFQqtbn3foCI3JDP53eaPXv2oGq1OheJXTsRpbyqrmRFo9KqtCJNRO+r6rqwnd8AAM+KyPAwDLecPn36Rs65S4loPxivZYRaG2IjAOlPHbm3U9q9mpAdIpBtYqKMIFbLgvmEiAaqKTFIVfsmi/gAWPHbkfxeVUQGk9lAMzNXROQEAFEQBOt673+WKDOOh4WuOVi6awhTUbzPzEfmcrk3k2t+n4iMgnlbzGPmHiKKYL3pJhE5CkCDGkmSyFpPUwAcQ0SnqOq+APa+vU7mvB3o5l++jgMVrRd1us3JEKKiqq5k5lAswn0BET2nqofAPFN2g4VijYNJLgEjB3pVbYWpFyoA9oBxHFbDLOPJObdKRBaotdNOJOPRNAKYCCsUfuuce0VVj1ST1m6p1vYYACt2rgZwFAxZ67/GPdWJzyXAV6nqA2EYTi+VSlep5fB0ExGpyYfnisj6QRCc7r3/KYABrzfyvtMlfm6m+zyXZKSn8hEVnj7I4+1KpXJ6KpW6wjm3g6qmmPkVEckDaIG1oVar6gBmrgKYocbpiGDqiByAYWQKqhFENMd7v5RNtTEHwGQ1ZVQGwKdCVCbGu+R1U5jTZ4qZISKZ5L5+PUEB1idTW/T1wLLzGmPuNMLuF0YK+o/LV+CMIAjuZ+YTReSmWq22RyqVujW5z85g5j7e+xfV+BQbEtHvRWRTItqPiBZkMplxvS2BKIrmAtgwCIKdRo8e/WKS2nodmfdLBdYS/mjZsmX7T548OQbM1ZiZ7xaRTYjo96p6MhGtD0N+7lLVIwDMUdXNmHm2iDwgIg86545W1VcLhcITSRLyX0RkvyAIvIj8RlX7M/PPc7lcW9IOmYLPU4vVe3/CihUrnmtqajoPwHu9EtmvG6VS6T4ABRG5hU0ldQWAd5j5F7lc7q3kd84UkSW9sepJoNmvwzA89N+99jdlfKvsv3O53HgReVtVt6+vrz8dANjixRf/N3+0L4+fAZgtIjMAIKm+L50xY8YzAP6lqq8nSZ73k6ULLlfVa2Dw+WHe+98ycxnARWQtlBoZufNttTjjVgDw3l/hnNvbez9FRO713i9g5jwR3aeqWzDz5blc7oJSqfSBqv7t4j664wrSz/qxnjDkmZQM8Uo4qMIgc/3sUdW4T58+lxWLxcFENMJ7HzcyffxvDBZRISXxshubFbkSUSOAqoh8yMzvwib8/VR1Fkw9wgliUA9gpIgMVrMGriOiX+bz+RujKPoFgMNF5P8h772j5CqOf/FPVd+Z2dGusgQSCoggFGburCRExhiRszE52GATTTQ4ILABE4wBGwPGJBMMmBwNwhgwQSRLYITETlBAEhJROW6cmdtV74/qxRjQ+/3OeV8/P9t9Dgft7uzM3dt9u6qrPmEWEX1cq9WaC4XCs6VSqVQsFk9j5mNggVSYWVR1OgON/YT6wPrXXSJyPDNfASu7roMFuhWlUul1GFjtZSI6mIimwtQCv01EnwBo6C8Ysk+VsgAehVV0tgGQcc4t9d63q+oQIhpB1mZRMi0SAOgt5uPhVPU1Zn5KRA4mom+IiIOZYc3w3m+uqoXAsfcikmXmJaEyspqIkiRJvklEt5RKpSkAmkRkTyL6FYDvhiC5hZqd9vAQyKbDghgx8wqy1lgqnI6vB1CvEtpmORn1VWeT1YTmBU5f3yLR0alUao8kSS4Ws7GuhiStBqCLme8Vkd4icgoZBfzw+fPn9+rq6npSVXu1trbuGbxTTlDVLdUk6UeFOVYR6QSQI6LrYMqMWwJ4i5k/EDPA+qGIHAur4tRhmhtJuM8fqerZZDTlOgznMyDMeU2tWvOGmtLu4eVyuX9IJtaStR52AvB7MbOxzbz3cbVa/Vomk7l6pw4M2kFYP4z4qg71xw8QDOwvWEeEkUQ0IJ1O78DMqXq9PqlPnz5d7e3te6rqpHAC9zD2T9+QSC+H4SPGwA4PC5h5pojsEK55XyI6H8CJqvqaGrU8vyDCgVMatP+HJMyEYVt6+EM6STYBOxEhGM14IBHtxcw7hCoOA6BMFJ1zTrve9EBW9X2nn5WsGgV/+k67Xu1c9AQRfTeXy7UUi8VeqVTqBVW9oFAoPNvS0pJnE/n71Dn3G+/9zSJylHPuHBE5CIBWq9UdYVUFhDmZmSTJfcVisSAiBxDRprB274siQnEcf4+IZMaMGal0Ov1dMsnx9UR0XBzH0+bMmTOnXq8/xSa9fgARSSaTOaarq+uWWq12bDqd3peIfq2qX3PO9a1UKutF5Guqmo7j+D0yIOURLS0t2wO4qVwuz6vVahdGUTQ+HFCeJqLRURT9asCAASADsh5ZLBafKRQKa75qLyuXy80A+jY2NjYHyuokIroszM/msHY3VHX/JEkO6/49MnO9/wi8BfBf1hYRkT0BzAGwcOTIkdWpU6dGIrKFiPT+V1/bF8b5IvIoM9/7+W+OGzfub8y8ORHlvfdvh03wMlVVMiGdMSJyLTOfS0S3JknyJoCbiKhERFnv/ddE5P5yuXzcrFmz+jQ3N89UVRaRd5j5G865bxLRW3EcH09WSt9n9uzZZ6hqw+U9/UNrSL9So//VtGqVqArT4+hFRN8CcAIzH0Rmfd4ce9p9Q2UyB2Cw0AqYv8EKABMAvJDP5wcVCoVCNps9SVV3Y+b7yNRQr1CLwp1dUF9M4euvpnXk3Ag1r6pqkry7Afg2ET1Ahky/G8AvS6XSnQAOYeYbyQybHo7jOB3AZ31F5DLYiWmoqkbOuU2891Cj9PYmA3UOYrNG3qe5uflKALNU9UBm/nMIYEthVYNPiGi2mrlcCxHNJAMh3kpETWQiVh/b9BGR3cM6LLAPIAPwHSIivyFzoP2EzPQtp8H3hgwM2QFLkI8VY/I8SER9RMQ55/4W/v6rAPwIVs35WTiR1clwKRszcxsZZiML4K/M/ICqdonIwd77Kar6BIwJ4NYw0smGPXrwoQOI6MN6vd5CRO+kUqnd1Bw9l8GCJ0TkdgDroygaSIaxQWdnZw5Gu6R+/fpFtVrtSFW9EAZSHqhmlLYOFoRXENE0Zt4bwJMwbNIQEbkmzAFguiTPp9PpTdXwHVkyETIAoDDnCWwfXBfWX29YO2ULAFurYXgcEa0gooyqbh+etxMD3iUFYNeGhoZ7yTRHbgWQDE/kmNGe0gOUPnHOvQCgUUTuI8MH5aIoumH9+vVbeu8/IcNu7K7GIBlEJkRHCdGQDyKcTCYjPxeGM9qeDFxMzPySc25tmPtvMfPPFkd0wE2N2mMxKwvZHzfXwV3TqLoS8rGqfqqqs8lUYFtVdVNVnU9ED5Gd0O8bBO51TgfjojbG6Z284tI2XntluxuwlUb3ee9PXbFiRSW4efZj5mMKhcKzlUplH2a+h03Se2CtVktU9TEAS4Iy6E0iMlJV9wSAYrF4CkzXowXWMllcdaQLHJbPcdKwnjSK4/hUMnG6PTKZzBvMvDkzfw3GsCq2tLR8LUmSa1Q1D+AJVR2hqsXOzs5jANw7YcKEFfl8/g9xHB9IxqZ6LiT/5xFRplKp7N8t593c3PxmPp+fJCIvplKp5wCcEhL6TWDVrLJaS/p8VVVm/kupVPpbqVS6pFgsbq2fk/9W1V+KyORuymrAz5yrqo977+8ol8tnBKMy7baPD6NARP8xycV/VVukVCq9TGZ1/WEcx3cGvYi9AHy9UChM+FdfHwCUSqUxqnpjoVDYvVwurxCR8wqFwl2AOXuWSqXJRHQSEQ0UkdXM3BKC0vfFFP+2UGMfPM3M32PmFlVdp6oDxZxLj4GxT75JdvrPw5D0R6rq0kKh0FwqlcbADJhuVtVnmPmqs5qSdxV4fEPXPbnDVYcrnyYiP4aVuoeSGY+1quEmNn847fu8nv6yDO+eNaofVOV2VX2BTBfhgXw+fxUF+edSqTSXzYW2VK1WT8hkMtNVdcjsCB3399ABrfg7/W+4Jzmpk6SvUhXmSTKdiJ5Q87MAmU7E30KQ39J7PwkAUqnU9ap6FiwwDyGidu/96BD4PmTm3gAuFZHbANxARPuKyGYAboAlKyNE5D1VvYeNMsxqdMBNGxsbz1NjQlTUaIxZMhbIpjCMyAtkzIBunM1gsjZIhuyU3kBEBIsVaQAgA7OVYeqNE4lou1wutzmFHnO5XH5DVbcTkRIzjyBD0adDgG4NAXgx/h5InZqi7EPe+3VsOhDfIqItYPLSTs20atVa0t4XNUnDhtbCGZ3sRyfkydxh16qxPIbAkqEqM7+SJMmBzPyOGphw0apVq44cOHDgOaq67XsR9nw2I6lPSDmrSMZ6Xn1wlfpkFK/CMCc/AdAMYJBzbhwRtXnvD1DV35ApgqbUWoMbwVoKW8IAnB8y849V9QYy7NGHZODUHxPR2aq6oxpoEs65m1R1F1W9es6cOY+NHTv2IQBjAVwvIter6qooii4JyczfQtDegsx8TYhIvPdtbLTZPgA+JZOIT8Gku0eoCZn1hOGFImZOE9G6j1n7PJ4RLGRlJWCQwO9Xd+XxdRqqqnOZeftQ3WM10O46Mjro6Tdm5edznXzJzA8Adkl46eGdBDVl3Pedc3+qVqt3pNPpm2E060ZYIG1g5nZVTQdQYhZmKPgCDO80jojWw7AbU733jWSGa+fCQL83w2j27Q0NDY91dna+DWApm4V8q4jsycyPqGHAdvPenz4zw7c+lBXU8Jlsfdsgj5t+2uHyZK2oH+VyuQ/V3I1nAPghgF+mUqmDlyxZsnzAgAGL1Cq0w4hovXNuqzFjxqwCzHagra3t5TiOdwz7yftE9DpZq3UvMk+XR+v1+pTx48evnTZtWrapqelsIjqWiK6BaansC/NdujBgkXbPZDJXVKvVSWR4qW1hFYnlzNwvl8t9RludP39+prOzcwYzF1W1FwxH9zJMsfOa7tcVi8WnnHNnfZUE+b/j+K9JLmbMmNEjnU6/DDPmOW7cuHGflEqlP7DJ6V6tqodsqMz1f3OUSqU/qeoVhUJh+pw5cw6o1+v3zZ07t38cx32SJHkUwJbM/FAQS7qDzDzHwYLUh6p6IzMPAfBdWJVmTyJ6Rowe+AGAo/P5/DgikpkzZw5MpVIz1FTsIiJqZ+ZvqepeSZK86JzbRlV/QETVMkv7rT1k2Iau+9I21n5KK2EbqYf1QDrVeu59AZQTkvtfd7jmlYwm66G9e4PW7tmFnjt4dytMOnnfEDS7YFoSHgbaavDeTwVwIxEtAvBOF7R+cZM0fF7St3uMTFD9flfUKiJZMoqlg52SamRW4fOz2eyBXV1dC9TokQfBqiW9YADL4QCWk1mQP8+myPm09/7HQYXvvZUrV+46cODAw9TEqhIi6kNEi1S1oqp7wfQYXhKRfdRK+n8AcDkCTgSmQHpJHMe/+eL1VyqV76jqgWq6DgPV6MYOZp09REQ8WVWDYb3pDPCZf8zS8O/NyapPrWrOra+oaqyqMVn75S0AfwkAvIiI7iSic0RkPTOriGwVEp6NYQHFwXwlPlbVftf1kH7vuy8nir2U9MI2unvbuHDC7Nmz9wzeM3eTaRMoDETcEBKAzpC0ODLQn7ZE2nlHg2/6onvxRh5rx/KawYe09t85rOnlsEpMbwCrADztnOvhvT9URBYx8zBY27cBBohuUgN1/jJJkjOiKLoVBlBdQibpvpmIXEFEk8kwDaPIWiCvwyT921Q1ZubHVfU7AA7O5/NTS6XSkQCuIKKXOjs7r25oaJgF4D2ylstbRDRCTSq+hZnHikgVhk94SETOVxPyKgKYQEQrVpCsu7pRx3V9wVeUFDir07WOUl6vql369xZTgxo2J0VEtSsaE7fkC4663WOMp/bT2ulDMlbWtCRJfhhF0c8BDFHViWG9VAF8TCZrXmITrjtbVeeSVTu2AnBGQ0PDO52dnb8mw0a1O+feFJFBMPxMt/5HiZnfVqs2TYYlXb3D8/06M18sIlf8NpNcPy9NU+grKum5Gi66aatxP//cs7GlGBid0+n0QaNGjVpZLpfvUtWvM/PxIvJYWBMVZj4xl8u9W6lUxqnq9/P5/HcrlUouuBZfVCgUngzvmfPeHxD2HxaRZ6IoesI5t6ZWq10EYGtmfsZ7fzgRNbzSgNNXQx96NZJXBVhESnedNmPeglGjRm3jnHtCVT+GJdUvAXiKiHZU1SGFQuHyQO+/hIi2UtVHC4XCMbt+OHMiPE88qsoXPNWkOz079N/bU6R7/Ne0RdLp9Nedc28SUY9x48Z9smjRogZVzY8dO/ZtVa2EE/O/dAQgUWuhUJgOAGPGjPkTEX0wevToB+v1+gy1st+3crnceVEUkaouUCtvL4YFswGpVGptHMe/EZGdYMhzp6pfJ6LdiWh7IiqVy+U8AEyYMGGFqrbDAt00ADNF5EEROZOZ/xBO26+r6kOjhNNN+o+ui91jqEfSTylh5jsAPM/MB+Tz+UZVvZhMAfF8AHewxxmTEv7g0nbXcW2bq/2sjRt28m4tqR7HzDuqlZSvV9VlRPSA9/4VVe0hIi+Gk9mNsKpINM9p6qsSCwBYECHTTljLzEtDkCmRgRYTMofHCV1dXe/BGBtvqeppqtrivf9OHMfjYZ4Ef4bpH3SqqjLz3CiKpsD0CaYOGDDgFmZ+h4yqmIFpI2wMq4R1qimCQo0FsKmq7qWm/tgFax9lAaQDQvyz0dLSMlRNqGp3AIvVtBYeJaL1IVB1keFKhKyNkVLV5WQtlgYy5cQtKRikAWgMgWISTMzqCiJ6HGZMdoGYpPhHqrqdqjay0THHkAmZvQvgfQDT1zIuXxzR+uWkPRXgYzrx0Sbyj46hvYHkhE5KsqCNisXi5CRJ+sCqFQ1qeguvACiJiFfDuSwls7LvdlTVP6Wl4YuJBQAsd+iTqvX7LTOfRUSHArhYzbXWw2iy+3vv34LhjJ5V1WdgDrRvhfu4SlWfBjAoiqIHyMzBPmLms2GJ+UepVOoZABk1OuvzAB4not3UBNK+RkQd3nsB0JnP56cCADM/A2CZiMzMZDIl2OlVVfUFVX0zJBPrReQU730NwFmqOldEfqrmCtuDTLVTVXWjN9PU/MXEAgCUgOfTAjENky5YUvG2qs4AsIOqrhCRWg+hDQKbGpS6wj2fBWBvZn4yJPPNoZKwGJaQDQ3XPUBEvqNGfR0FYJ/GxsZ94jieliRJE5sS7EeFQmGXXC53XhzHx8FUOo8konlRFP1UVd+AJbuLVLWvWgUxQ0aLPkNVqe548lclFgBQyWDnf7gPqicCGMbMB4waNWplsVj8hqruy8xHi8hK2F72KRmd95ZisThZRPJqwFV473dmZhKRt7vfM5fLVQqFwtVxHO/qvT+MmZd476+tVqt/Cc//LSKyAzOvnhVp3ydT/oWpKdlYCEeAMFlYi7dsN+pYZp6kqr+O43jbJElOgQm9XaYGOh5eLBb3cM49JSLfVNWuOuHgExe2vA/ht0G45aEGGd6R6LxJi2edvqE5/Hca/zXJBUzYpZWstIfW1tYDiejPZP3NCpnT6b9shEDwCwAXfuH7TzHzYcy8EMDWzrmZ4YF5I5QZzxSRJ9Rsj1eIyA3FYnGP5ubm9mDn+woR3QFz6dxXDGG/e7FY3LpUKv2EiEaS8ce3B5CIyDpmXgoreTpV/bqqfjtSxYkdQB/FP3DQ+yit2a/GFwFgETlWVdd773uWy+WnmLlQrVZ3yOVyt8HYCBVVvVvMyyGBbThnwIRzngPwejhJPg1rNRyoqktgboiKbsdX1faPHV7f4L0E0AEdJiK9xKyY+3rvD2DmThFZQdbq6C0ibzHzBwHfsGcURWcVi8U9mLmdzAF0Daz82pHP5y9SQ6JnVbUZxtN/Xk3avCQiD8HAoQ6GzRgJ4BQiOoKIrmbmrxPRzMbGxsEAZoV11zRmzJi/VSqV75RKpe+XSqVXAzU0RUSvhEC6bzhVPxwSwQyMzkkhcVkBCzTvE9GS8PkL1Wh1dZjEcSfMv+JAEbkCJqI2QlWVzEK+JzNvHeZD1ah+sapuVyN9+M6sNlzUJJOv7eEHXdboB1/TQ/rOi3Dd5HbG6R1c37XOr57YyW0XdkS/3sLTciJ6k5nTsOpZjohuIqJdVXVvGFj001CpGKKqCwH82Dk3WoAFS92Gq6lsCokHqOoIZm5k5uEwPZVGMtrtVap6Ehm18iiyMQTA/qraTFa5ex9/dxEeCOCB8JwNSZJkFpnuzVvMvDuAC9VAr5ZKbAAAIABJREFUt0tCkt2Pmb+nqgPK5fJ75XL5ZVX9PRGNIqILyKp/48nE4A5g5p8Q0Q5kehIvMrMDcDMRHQnDJhEZKygLsyBf9ymk80t/eBiLnK4FUFIzgOti5s2IaDvn3FMwDRE/vv7VVQsAGFbXP6lq/wBoBBGNFpHdAezlvV9DwSyPrGWXFpEMMy8ho8EvAfBke3v7/sViMU6S5GUADzDznC98zDaZTGYGgKYkSZbDqP/fBnA3M1dg1Yt2MsPF6cy8OqvYZkPXDMXQ7n+Wy+WjReQoETk/l8utDlTOa0Tk5Vwu95ZzrgPAwIaGhl1EpC+AhWQtncu898sAgIh2EpHUuHHjPvmqj2tubl7ejdPIZrO7qupMZt4PwHAPab8vqxn/BSIEAWlAb+oAjmxoaLgRAMaPH7+4UCjcJiI3AvgjgCeJ6BAReds593sieu2eLP620OlmX3ivHgq6cbfFLf9PtOn/T8Z/DVuEiL6mqnNE5Obw9dFigkIIWe0h/8rrK5VKxzDz9Hw+vxAA5s6d27Nerz9OROPD6SQLAxkdTUR3MfPOIjKtVqvdFyx8zwRwIVmf8IxyuXw4Ef0qnBL+oFbK7Uem5idE9KYaZ78WMnkHIGbmfiICsn7uA0T0CBHVvPcTR5I778I2cW+l0NJB2HygoqO5jrZsKv2HOuqnWayiA2GsjlPjOH4AAKZNm5YVkSvT6fQB9Xr9GABbkDEk5gA4u1qtjstkMo+q6hwiehPAQ6GlcUk4dTeTGVE9oVbl0C1EBm+IfRIp6r0TaVcrh0+E+a1UVXVLNqvzCCYHfiCsFx+p6gBVPZiIjhCRjWCJQcTMLCLVcrn8FBHdICJdRHSdiDxM5u3xCYw62twGwdwUuRWMTwZ5dBQS+qsDHoJhHWYCWNPR0XEuM1/svX+ZiA5T1XYRuRKmdnhGc3Pzy2E9LBGRM2EW02kiOjqcLBFOkW0wWubDsKrTHWR0SoHhGwiWXHSKSAebMVr/0PLwIeFgslL4zrAS+2BY2+LKsHbO/XNGL3430sbPR/wPndIaxnXb1GnN6ASZMZ7uVdVGQE4FEYWE8RFmfoiZT6vX63t0VwgAbMPGzOmW2N6RiHYQkd84IsoQtLqBs/dKxjNq7YCVIrIzDDMSwRKGUSIyg8yQsB8RUfj7hoc1vkwN1DuEiAaLSBLu17MAvgOjWy9LkuScKIr2E2NVrCeiFc65U2u1WiMz/1lEjmbmn6vqZWpA3Ynhs0BE19ZqtXujKLqQiA5Ra1+0h2e3t6rOh4m6naWqhzPzz0XkT6r6A2Ye573fIQtt+uq/HuinlCGiH8FYP1NgWJJPNWiRiEhtl4T107rq9JRw9210RLJbldbsUcfuCv0LWRVsjRqOoJ+qPgprZSyHHTjXAOjpnHtHRHYMh4LuNXV+SMCOsinEZ+qTLS0tG6nq2q6uroNh1YU/hXX/BswsbwtV9czcU0QOZeasqjYPEMMRbWAsBoByuXyyiBxFRGXv/fSwp9wLoJ7JZH4EAN77rwFYP3LkyI9bWloOJKLnQnLwsXPuvFKppDDF2f9fIlVBrfgRAI9MnTo1env4wMNrSA76qteqoumFrD524ZZGs/3cOIuZfxnkv58BgFKp9DgRLa2kZO8NbGGkJIfBnJD/bcd/BeaiVCptDAMtbjRnzpwJ48ePb+zq6nohjuPtAGDOnDn9vfcP5/P5DarT/TNHpVJJi8j0KIr2GjNmzKrZs2fnkyT5MxG1f87x8DJVvblnz54/3myzzbpKpdKRRDQ+n8+f3/0+xWJxJhmg72JVPRom652CSQ5vpaZ8GBFRbwAgoqqIVJ1zNwVk9DJVbVcTqDo1m80O7JYDL5VKv1TVpc65KeGUvpVar/z5kIiMhmEJ+sLofqtF5F7n3HVhI14cx/Gt5XL5UlW9gKwc+2K1Wj1i4sSJHcE58HFYkOsJa9H8mJlvg7k2jiOioWqSvx8I8/FnN9V+Tkpf0ifZu8at+3fBw1oCDKBORiHbCMACNlGkLlg5fhtmXqfGuFgVrj0dfr45GbahBkvIUrBEoU4GuBTYM/TxWyntejwjIz/fqtnEU9dpVV7Sx2MdTA10WHi/jdXYHqsArK/X6wdlMpnNRORmMmrcUjEMyjBVvSCKoueTJPkFEY2N43h8qVR6B1ZZSGACThIqFmDm+WoMgAwz/1lV74OJex2mqnuHIPQYEf2VjeKbBrCzqp4qIr0AeOdczXufJiI3uclrxwbaT0d30cod69wIw9jMhmEYknCfFpI5tPZCsJBX1URNs2QdrAIksHbScc65PVT1+Lt66IBZ0d99LboHgfS8Dpo91NMwGKZhgKre473vdM5tBQMkbgXDnXSFuU9UNa2q9xLRWBFZxcx5WE++AZaU9AlfP8jMB4R7ABG5JoqiN0Tkd2S01PcAfDeO4xGlUumdOI63nj9/fq9qtXqLGjV1KKwF1K7WAuqnqnkiekZNoXQbIjopSZJdycS/DiWiU2H0132IqKyqx7/nNPXbHvKV9/vQKtd3rdH7RDRLRHaBtbY6VZXT6fTIWq02kplfVlVd4ogXOK2Rioz0/PEgpRYR2ZSIxpBpjWwGUwn9togMCDitGhH1EBEhAzzPdc7d6r3/Fgx34lR1tapeQeazMoZMzv15GCi4GZZEtRHRajVjtE+J6FMAVwRNlguIaBcRWUemOVL7hBH9stGn5Csq6QdV+b49azQNwH5NTU2Ht7W1vZnP58eXSqW7VLWBmYtxHP8CAEql0jOqummhUMgDQKVSOVxVb1HVtT169Ni6o6PjRhhd9bf5fP7i7s+YN2/egCRJNkqSZDAzbwpj7AwObc6NiagfEWXmOn3/xqzf+6vmBgCO6KIpuyRuKQyj1BPARmpCYp+G6lQq7Jn9AKw6s6cHmTDelwfhd69sOu57G/qsf4fx35JcfEtNPrt3HMfHFYvF7xDR4DiOr/zca2aFfvu/4vp+DEDjOL6mXC6fC5Onfdh7/z4zHwmg26Dpe3EcDwu/8woznwTrEW8NE9A5HObD0EtVW2GBp5eaSVcNwJswBcytmHmNGrd/EBHdLyLDAGzvnDszUMduBLBlHMdHlUqlvYjonFwutz8R6SOPPOLGjh3bIiJ9goDT7eEU3w7gHhHpIKI9VHUBGRUV+Xw+JqOVlcj63e0rV67caNKkScnUqVOjAQMGXKiqR5Hx/XsAuAbA2TAhpnzYoAoABqgBXn/2QvHdc5/vwT8uRTqoCqXeSrJzVZfs41MJqR6rqn9R0wZYpEaBW+2c21dVbwdwqfe+JxHdDgtIWZj+R0ZVNw6H0f5hQ20N3+9BdjIXmOnZi/V6fWZnKjr9kkbft/YVT9OWdaz+fpfLIAhShd/tBUt46mIOjmNguhTvwdQGC6r6EID8Ok4uuaix77zbk0Sr1eoK7/2ZRNTMzOdoMH6iv6sUzgib2GVE9DKA4/P5/P3lcvluAIcCmAVL3DwRPaKqOTWRseGw5OkNVd2DiL6nqj9ImJrObUw2qNi4X5U6961xCvisrQcieldVx8GEvIYQ0btRFF3jvR+g5s/xcwAnqeFK2okoRwacHAhgyXKmt27OJt9YxfhMhEqB2oE1XrZ3lXYC8IgYyHZfWJUlIyKfhg17y+5fIaJFIjKWTASuBmsn7OKc+zAE2edEJM/Mz4rINmx+KjERvaem+rmlmrCZwNpO7TAfkYfJBKfmwypEHQtSWPgeyddfTuu9Yz1Vj+vkAZEBNAeH1kImVAV+rEYl3Q7GeLmAmV9T1cNVtRFBIOsvKRnwdNo7tSQNBGC7OtYf3cXrGJSo6ZLU1Vx6f8umLbFSTa9iHaxys1JV+8FotKKqa51z16jqnSLyOpk2TveaHgprE0UhaVY1ifnXiChP1pbrS/ZQ1AGsIaK71FqW5wJ4DMB+apohPydTptRCofA7ACgWi3cz88v5fP4PxWKxTMY02SHMSwcRlWc6GfL7rBBMgA4AVvZQXHh1mzsU1g7+pho1+hZmnioiE2AV0MtFhJl5I1X9LoyJ9Qc1PEs/VZ0IYAQRLQDQS81xuBsI3V03kJAU18L322DVyDZVbQvP7vCa6rDJPaWpDv2i+C4ckV66nhb1Nh8ir4ZTGQyrbP4Nhsv5mEycbM9UKnXW6Q1djwiw01c+XETnvLJp85fA3v9O478iuSgWi3fDepSv5PP5h0ql0nPMfGYul1vwude8lEqljuimL/0zx6QPWnZXlR8CNDIiWnpIFw3duaH3BFq//mGY0NJj4f93NTQ03Po5RbtlAb3dQEQHw06MAsuIGXYaW0CmfTDSOXeeiEwWM5u6Rc2W+SAxgZ7bVfV5MvfQvwDYWw3B/45zrn8+n8+Vy+W7ROQdMj38fbplawGgXC6/pGbVvDyccrYgo3YtJHP2mw7L4CcS0dsAqt77PzrnboCBIp/K5/OHt7S0DGXm+2DBaBkR3aiqK9TQ5s8x84MrVqx4duDAgY+p6shwCvwQlhSlVfU3ALgD2LEHMJSZx4nIB2T+Fber6smFQmFISCgvgwWejIh8q2/fvn9du3btq7CkqF1Vtw1qpScx83HhdJeByXP3V9X+qtqTrBrSBgOEZt5Kafa+BvnK0i4rcGUb3ZHxegkzDyKinQFcEq6jtxqN8EVV3THMQyuAIUtIt3kyI8PeS4G8Apso/MFVptHJZ26kDKu81IjIMfNTqrpYVY8goo9VdSdVvZOI9oJt4lepgUTnMvNsVf0RGRh1NAxrkQOAkPixWk/eT27yrmMDu8SxXdy+fZ2qMDZORk1x8ilV3V1EaiKy09q1axf179+/GcD+RDRZVavM3BQS0E/J8Ao3iUirGkX4EiG0zYy0cHeDv3G/qvtuJUX7/LBVdmPmC8mAgPOI6MWGhobLRo4cub5YLE4mou1bW1uP6dmz509hInSzYEJTI0LimwbwMQx7omQA2LkisgkzDySjzX4kIq8R0YchIPeCSZnvTIZHEDIzwb5kTKL0Yw269LVI8p+HYDJh/tnt7p4tPCbDKl1RSCw/IsMz9ATQl5kXeu9vy2azf+zq6poeAv5YAK1rHTaay1jTRrpkTELZIYJBsIPB+ar6ETNPCcng4PBMJMz8oYiMDOu5NxG9JSIFMvDvDSKyAxlz4XUAL5FRYw9j5gFh/9CwpzgAqzlYBoQK4qtqdgN9AKREZCURrQ/393GYM+1lqvprIjpCrcW5VK0yOALAXwFMVKOxqlpLhcPaTIgo8SoLVjCN7QI+HipYTyL9Q2K2OCTgH6oZ1jUCaGPmld779czcQw1068iqskthVcEVYU3vABMYnEHWZv1RSM6Xi8gfyWTe+37uv8EwllQfmPhdFcCHANa+ksaExzP+Mzv17uGAy18aMe6zasi0adOyPXv2fKtarW49ceLEevf3y+XyVar6lqqOeCeFk+7Jyhh8OQ5/khDHb2z6r2cv/p+M/4rkolQqvUtE7c65gzo7OzmdTj+ez+d3+cJrbhCRR5ubmzcIFPyfGLsuevdUEG794vd3qPP6Y7poLUwM6IYkSR6PomgcmX3wbkS0mRorIaOqSSjll4joTSL6s3Pu3Vqt9mq3XkdQy7uHiLL5fH5sS0vLT51zx4jIqCiK9vXenxrH8WHFYvEJZl4vIgcz85sA9iKiKUmSnBlF0doAAD2/+xQCADNmzOidyWRegFE2F6oxGMaRySFfz8xbEdEj3vvLQzBtAPA6gL1D0F8Eo+b9XkR+GdT8JpF5LHQAWF2tVkcHLMnmRHQU7ITUD8BiIjpHVb8BY2b8HsAtMGW7Zap6NRGdp6pbee93iKLo9Xw+35uIpFQqPUQGLLyTrKy+m5rr5U9DgtMIqxC9BmC09/7H4VQ4D8BPyICCBxDRdqq6vxpV9IlXM7j18YxsEBx9ZZvTJjsj1dXolw1qxlEuzGsrmUBTBKC9lRBd0Sg92unLdMQzOxmjrJ2+CgBUtX/YrDthiVA13O9uYF8VoYcOO512K39mwu91v17Cz0hVhQyPoE80yEZTU/olQ66son5pR9SaFe3W44hg+0kCA+h202fXhCD3DhGdqWYolyGij7q6unKZTGYuLKi9DQO69gdwoogsBfBrMpG4laF//4GqXgNgahRF55bL5ffHjBlzo6r6OI7Pnj17duS9nxc+c0RDQ8Oorq6uc4jo2977LDM3wQSY1nrvvxGSzZ1hp3GQqXM2hetJwlrtAQvq7cw8GMDjYuZYnTMiufnuBvkpvmIfzXvqOKWdPiBrR85h5m7PCw9LUl7O5/P7qCpXKpUXAIwW060ZDkvuonBy9rCqVH8A32DmX6pRey8AMFBEGtk0KboxTF9HYJOEuV/dva7V5PnXhL+zV1gjKQS585BQ1mHJ66f4O6V0ARF9TKZl0UcNW5VV1XkhMK8NSXdWVf9MRBOdc7+o1Wop59zZsMTj5HCfs7CEohUWyLOq+nHAfV3DzD9VY0ftoYYR+lhEsuF3t1Br9z0FYByAn4vIOuecqslr/4yIfua9v687YSCifKi6bAzbOzvJ1HTXqIF1RxLRbTCRuzqA8WIqtpGqPp5Op+9n5taurq5fwpyftyinsPq2rHzUU2mHTTz6bJfQohNGF8Z+fv7L5fLJqrpRHMdXfP77pVJpTlifr3nvL5+VoRnPpnXEMtZMuC9/FtAPXxvRvOiLa+rfbfzHJxeVSmWsqv5CVfvEcbxruVw+Q1VdHMc3fP51xWLxVCKiOI6/FPj/p8bWM2akmgZES8mC5BeHXtDhXtrEY4QaeCoNO2G1wx7u19R4078AMDSfzw8g+kfaWXcvuPvrlpaWzZi5zMx7e+83JZPB/SRssplcLrd5uVy+m5mvFpG/wU7iERFdqaoHwR7GRUQ0vLW1dddur5ByuXxtAJbeT0Qfi8gimPhUm/f+SmYeRmbL/Twz7wxgZ+/9FLKyYxbW221TQ723qQEV92eTtD6ImX8F6+H2hZkANcECz2lquIF5qvqsmqnTSeFENTgEg/mpVOrQer1+M4DtYAHzB/l8/vmWlpZGIlpHRMeo6kKyKslmZBLiK2CbfhIC48YwMObJZCp9NRFZxszLc7nckJaWlqHOuT+o6s6zI+28JStfOs0AQINq5yXrebdG5tPJvDtKZAZ068gYJYOIyIlIK5newtCn07Lu+bR8ZS92qwS1szrdvcw8XEzEa46qHkAmpPYxjBWUCYmLdAcnMtO27opEd/D0agJnawB0y64PJWtBLQSwcaK62YMZ6Xo7jb4SKJKDBPVvdzJtqlwV86lwsOSEwn+iqjVm7jaWQ/jcboXNPrCNtAJgNCwp6lbVRAisBCsppxEqS7CgvwWArHOuIiKDwxp6PyRMBViwWkQmoLWKTNOjL/4uPhaF4FgP7+cALPbef0REr8NaH/WQYBVgFb2/MvNAALuE6yNmrj2W9rNfSetXtlIV6Lih1f3MEV1BRK3e+z7hPnWoatY5pwE0Cvw94fhARIaG0zqrUbKbwqHCw2zuR8Ceoc7wvZ7h7/rsvdTaoA1hjq8FME1VH1HVVmb+qYi85L0X59y1ZDTY4WRibXcT0SFkrdRPiChKkuSOKIoOAlBRMzccAuAXRHQSTNl1FRGdUq/Xe0dRtEeSJPOY+RIy/NbwcE0EazmOC9e8HqYUG4WkqxNWZXqQjSH2Xpive2HJfl/YnnkiLHHtHVqdnTB10iqZzcGDqnoogBudcxVYUn2q9/45VS0y8/sAPozjuLt9hkqlMk5EHgzzLgCeEZF7mpstuFcqleEicj+AV8OBJnLOTcrlckuLxeIDYS3XVfWnzc3N5e73LZVKbwE4KI7jZQDQ0tLS6Jy7VlUPAbBLHMdzisXi+UQ0SVWfPrVv252ZodX6KzTps+fg3338x1NRRWRPNRDScwCgqkekUqnHvvg659w/nY7aq19q8w0kFgBAc9lnVHWxc+68xsbGzQuFQiqO4z5xHE/M5/M/iOP4GTKXyaa5c+du+sU3UP3Hk25zc/MiVX3fe38dEV0Kk1a+H8BvVDUpl8vPAoCYYFI37mCFiBwhZindQNY3pJ49e/5u2rRp2VKp9BtVPQzAkc65X6vqfoVC4Slm/gjW7jiEzG75WiK6KEmSESJyLRHNJ+tnq1r7pS+AwSGo7qsmANbKzM/D2iN9mPlYVT0Of6d2dsVx/AaAK51zlzQ3N7fHcfybKIr2V9WeqjrUe3/m6NGjW5n5RACDVXWpiJw+Z86c/sz87ZDU3AejmPZPkmRCHMe91NoJa8Lm2TckNDVVlSRJeovIy2o6FcuD9PEU7/2zAHhUHT1H+K/WFxij0WONVv0YGk5K58KwAq8T0RkisruqPktEr8ESqcs/Zd2gVsEKRxGAvUWkAEtMNoZtjBnYhpyEwAkRWQUL9H3FNDfqAA7L5/OZOI6zZNonLapayWQyzQDeJqKbVPUlIvoZgAtY9bffqnLTFe3cdXankwvaue0nHa42XEhVNcvM3Zthd7BTMlv1LFmZf6aIPEFEJ6j18avhdREZTdTBgk0aBnrthPm3vNna2joKFlAejuO4oKonqOojRDRXREYAuEGtp/69EICnENF9IdGYDBMgy8IUJyNYRcADWCwiLiS1d4uIY+a7AJRhIM/V4XnYA8AtzDw17B9rQ9Kx2nv/8GpHSzY0T1A0AHqeiHSISA8yjMSykNh8IiIK4D1VLcEYEQRgOJsSLcFca/vDko6IDPsxKrxWROSicPDoDOt2uQZ5dBF5AfasQ8zT4xpmvouZ7wuJ+AHpdHpjItoNJhq3CJbc9YThSwgWxK9k5iNUdQsR2R5Ab2YmIjqaDCezRESGeu+fYeY7vfd7M/M3VNWr6qYwG/v5auZ824RkYHZYq8ImyFaHJRq9ieiYkDBuQsYaayKrtLwDq76sJ6JzA6i8VVUvj+N4T5hXyjlxHF/CzDNU9a+5XO6NXC5X8d5v6pwrO+dGqjFXBpdKpR8Fx9XfiMhdRPQiM78NYI2I3NGdWJTL5QNFZIqIXAJgNyJaSkQ/y+VyS999990hRDQOtlfdxswnd099uVyeBKDcnViUy+UD2ezu+wM4P47jOUEF+Rswldm7pw/bsfM/KbEA/juoqHsAABFdXyqVhgHoGj169KdffJH3vgKT9/2nDYLv0v9NPvdkD7rm+6MLUzb0czXp2/0BPOG9fwQmOfv/Nepqvg49VXW4c+5v3vujyBwFxxHRITA3TwYws6mpac+2trZFRPRyrVbbY8KECTMqlcrOIjKlZ8+ey0Xk18y8Oo7j14lIi8Vir0CbbVPr498CoKeIzGfmNmZ+FLaZMIwtAVgwWUlEjcy8IxGpcy6j1l65LoqiP9br9ftU9SYYEv13AK5R1SmzZ89uBjA0l8tNAczp1nt/Mexk28bMD5XL5b8kSXI5M5eIaFsikiRJXoQh839PRhOsA/h4woQJnwJAoVB4p1gs7s3M74rIMGbuUNWDYT4fdxHRQCJarmYHDxg9dLKq1iNmnNap6x9p0NZ3I9lYgKYBSrJ7jVbsVENfMsBsv3BK6d7I34vj+GkAKJVKl6rqSQB+QERn99INU/MaFHVVfQfA1mFNvAfgYQC/gtEcqyFh2IaZ3xSRr4XTb52IljDzTCKS4KtzHYDDiWhctVp9h4heSpLkGufc73K53BsAMHv27BlJknynSWijkQICSJj5foU+KyLzw2l3PDPfpCY0tTWApUQ0XESGwECK40Rkj1AxScFAh/1FpBczq6rRUtUwLiCiWwFEPXv2PN0597b3fiIAOOeGqIEQB8DUTo+A4WFuUNXpMA2MBpj76olkzp/jieg9EWmEVXXWklWIFgDYTlVzzPxOPp//Bx+fUql0ExFdlsvl7iyXy6OJ6AdkFa4PYLbtW+YT5eIGVCU2ErQzaHGUik6s1+szmTlR1f7Ouc5QRfgmzIBPYAnZfDFl0Ymwfv/TURS9lCTJhbCkv0rGyqoSUQcz/0pN3bNDVfvA2hitqvoeM+8Da+W9T1a5mRnArZv06NFjm46OjrtV9TpYpasp/N4qZt5dDXAMGDblOiLqIqJFREThc1hNBn4hgH7MPENEmmEJM2C+Ow1q1ZNXRGQMGSvkESKaQUTbqunELIBhpF4N66QJwGbOuVW5XC7/+XvZ0tKyu3NuUxFZBuD7RLR/Npvt6Orqur1UKu0FYLtVq1b9CABEZA0ZuBdhLQ0fO3bsR5VK5bjw9euqepWITFXVq+M4PiesSxSLxR2Y+amWlpYbmHkzERnvnNsHwN2q+joRDYnj+JGwFq8GcAkzn5LL5Z4tl8tXzJgxo8fEiRM7VPUsVb3i3XffHcLM16tqZ71e3zOVSj3KzM9MnTo1AnA7M/8RQL9ul+r/tPEfXbmYOnVqFE6iw/L5fImIjoZtxF8ahULhHxblP2O8vPmED5gw/6t+Roquq1rdnZVK5QczZsz4EhoZAMrl8n6qOp2Zjwcwavbs2ft1/yyciOSLv8PMg4lodrVancDM/b33O5NpZ7wCoL+qPgKgmYgavfc/3Gyzzbpgm1IllUrdPnv27O1FZGtVnQdglXPumwAay+Xy6PARL9Tr9e4EbkrYiArMPExVp8A2xU/IaK+tsPIniGiEiDCAjiRJTlZTmSwD2KJerz8L67e3M/NZzrm3YG6ivxKRX6uJPKFSqaTHjBnzAFmrY52aKuNsEdmRzdEzRwa8a1NTCsw4565Q0w3Jq6lCIrzXPgBeClWENeGEe0c4xe0AYJAa+n6ZiBza0NDwCwD9nHOtqho1gtZ+p5Pk+lbXek176hcXt/GKnet8VRzHB+bz+YsLhcKZsNNPbzafkqvL5XKlWCw+AfNtmENER6rqiq3rtEHfjm0SishEjd4loi5mPhZGPV4BK/O/BMOgJCKSIqJZ4RQeRVF0n4g8XiqVLunfv//5AJ6O43ihqs5XW0C5hoaGJlUdWy6XbyuVSnPEHGX7h/f+a5ivm7u6ul5j5m2dcxlYwDm8VqudpKrTvffbquptZMDidbBqRE8ysF18abjtAAAgAElEQVRjOMEmRLTSez8d1u/uIotOc0KSOQjAVeEUvkexWOwQkftV9cjweacBGMnMT8MCXQuZ0NNrqnoJACcieSJ6S1WHee/fgJmm9ReRs7PZ7LdgVZMqgInlcvnQsA4GFYvFCwHsparfKJfLLWqVrkliLsVXqupDqprbrkZ92e7JPwwC6aFVblTVCcE88DMci/e+AaagugkZ4PEUAIn3/oJCoXCAGhCyncwt9FIYbXkVgBVqAOxcmM8uWFKQUtPpidRYLuPCszgaVukYAiAP87EZ0dnZuRTAgbB24cZqFOYRMEBzI+zA2Q0UXwLgA1UdpKojYHiw+SEY70dG2W4lq8IRjKlBIYE7JVx7q4gcFMfxUURUUtVhYR3tKiJzAdwm5tA6NNynvpVK5buzZs0aAQClUmkYM18nIheF+Xogl8stHTly5Po4jo8kYwP123jjjbvFqNbA2iiYNm1aVlV9uVw+W1V/yMxjROQPzrkLAEx0zi2mz7WWC4XC9HQ6fSwzXwng8B49epysqjeo6itkDrJnA0BwUO0Tx/EjagBTUdUnGhoaDps9e/amMKzHzmFt/i6O4+Oy2awAoFwut3TAgAEXEtEUVT0oHKD+I8d/dHLRr1+/HWAo3zdtzeuhzPzk/+ZXVs6cOXPgP+t65s6du8n32rnO1if+bChQA9OpjYoTROTMTCazslgs/rZSqfxDskNEZ6jqrblcrsamy98d/DB9+vQG2Ibz2SiXy8epato5d3nIqKfDlDg3y2azi8jATJsAWCcincx8a7lcvhHGHmhk5rO8988S0YHOua+z+Y70A3Crql4VbLwXAtgfVtY+Sk1jAapaIKLHyay8t4Ztcr9Qk33+QFUfDMncEufcchHZWVWrqronEU1OkuRkBJdVNayJisi+RFQpFAqllpaWRu/9U+FU+j4RDSeirxHRniLyc2bePLzfMiJaQETfVdXWwAa6H+Zdkp85c+bEcrn8O1U90Tl3tqruASuP9ySis8K68SLSYVOFjYjoL52dnffAyqh9mfkH+Xx+lKpux8w/Snl/NoAZqnpWpVKZViqVppVKpVkhkRMAjxHRLDWU/wGq+oqqzmfDZdBWwqsPrPEasuqKzT2AOKHlu1WpGwi3R5jvdjJfCRMmBXZS1Ytgsu+XxnG8GwyM6pIkOblerx9PNs4XkfKcOXNiAFNUdbaqDq/X62+Fk+buRPQGme+KhHm7OFznKw0NDe+q6uaqut45d5GqvpVOp+8EUCSi/diEslpD8rGcmeep6XJ4MuxNHUY53hzAzqFNkJBJ2R8kIvcw871kIm6tsGDYI9yOJmYevIzReHdWOq/OJrv/todc+mYko5Uox+YmvB0ZxqEJwKPMfFS4jZ1EdHa1Wj1RRJ4Nz8OdAK4sl8srkyT5EzN/33v/axE5jYh+Gz7z0rDGjyOiGIBjYOSv2lxhnxp1DlS0NypVt0qo69x2qo5NsFhEzg1zdC8MA9GDDHeyrfd+opjoVzusnXNiuVz+HYwl5lR12yiKjlfVhcx8N4ARzHwADAfVByYQ1ouZNdyXjcn0Q1Kqul5Eup1ju2CJRRqmbtsQ3l/VlGAbw/yOCPe4i5mfg1U13mXm8+M4HjBnzpxezHwcgLdVta6qawDMJqI9YYnYGiJ6N7yHB3AlgBQzn97c3PxSsVjcQ0QujaLoADXPlXHM/BIRETN/CmOXLRURFpEToij6balUqsDk/qcC2JeI+ncrYHYPVR3OzD/w3j9ULBaPhSUXQ8vl8nFNTU0vk2njdImpApcKhcIDY8eO/ZWqPisir8yfP/8zrFSlUtmtVqvdz8xHMPPPOjo6ymqaHduo6k9yudxqNbzNVcw8+XPXwFEU3a6qJ3jvL4MZDw7OZrM7FAqFFwGgXq8fSETPVCqVcQAmsYHnF8dx/BH+Q8d/NKCzXC5fGjaCu7337zHzVfl8/uANvb5UKl2vqn8sFAqv/k9fS+ixPSgiZ31/YH0O1d0JUBotio9U9L7Xthj/WUVj7ty5k+r1+o0w2esXReTi0Nu+JY7jvT73nh8CuDWO41/MmzdvQK1We6D756GVcTUATaVS+44ePbq1VCrdoKqPhw1zPqw8vxNM7GWe9/7bURS9QERvE1EkIlsw88ki8g0Aw1X1BCKqAPh9HMcXlkqlbwK4DMDosCnd670/RVXBzGvVHCCZmUtJkjzjnDsGtsn9Sc1E6uJ6vX5POp2+HcCyrq6uc7PZ7CYici2sv50LdNrnVPVtMmXKpbDkZ1tYYF0Q3u/SENzPAPC8qk6DBfHJRPSSWgl5YT6fH1epVNLe+7VEdB2AHxFRRUTSzLxcVZvYWCw3wDZqT0QJES0QkY3YJJzTsBO4VytTF2Gl65VkHP7tRWQZEX0CUwf9/tixY18rFov7kSmY1gDsQkQPhk39u7AedwcZk+JDVY1WkW4yP4Ue7Yq1Iz16Dxc6AsCpRPQgrFpRg7moVmGA2n0BbCwmAFYrFAp9AKBcLv9WTU1yMIxl4mB99rGwoPcCzGBpHwAFVd1YRI5qbm5+rlQq/UFN8MmReZDU1WyrzyWj9G4cRdGF3vvTYRv7d2Ag3d8DmOCcu1RErhOR+5xz56jhTh5V1YPVWjU9wzwm4eSsapWLCMYoeJIMrDcCxigZycx3tHBy0R1ZHfRF4aWJddLju1hh+ijfhyU2dxDRViLSoMYW6B2SRqiBCjvUdCwayVpIXTCqcRqGI5qhqvPYBLiWBIGxSeG+s5pQ1EIiepSInvDeP0lEVSK6V1Uvg4FQRQ1EPJiIFgL4mYjsH+asDNOj2FlVG8Oamw2TCE+pgW57iEiVDGzp2dgVTCbdv4zMkG8REY0Oz91yEbkonU7PSpLkGRi2Yi0ssXgS5orcCGtZkprZVm9mZjGF3h5E9Cc1i/nbYAyq9+fOnfvBmDFjzgXw8zBXpsVBVA+JU5qZp6jq2JDA3OWcmxZacPvHcbysXC4fpaqbqWoLmYPqrwEcT0S/V9XrxdRTDyKibzLzOu/9YiK6igyw/Y6qvuGc+ysMa/HHOI53mD9//sBqtfoIrEpTE5EbyFpGKTKq9zVENDeO47P/F3nfHWVVdf3/2fu8Ng2kKigCShvm3Tc0W+yKXTSJLWowdjSJEks0mmJJYoma2BVjN/YeRY0YFTUqOAi8+x5DE+ygDCJMfe/ds/fvj33HEIX8knzzW+u3+J61XLLmtVvOPWeXT4EdOIdhOIuZ3YIFC3asr6+/EMDOzDy5oaFhZaFQ+IWqjoyfB6qqqtpu+PDhpTAMJ6vquFwud1a8Bj+bTCZPbWtra0+n03Pj52+H9cGd8fuegFHQb2fm40Xk18x8ZUNDw2xsomOTrlyo6l4isg2Al5n5GFV98J+9n4iKzPxfB3UWi8UdYMyD4xobG19/deCEllcGj/3dK0PGnDhz6JiL1g8sAGDUqFGvBEHQELcgRjLzTFj0/sr67xORY4nogiVLlvSIoqgahjvA/Pnzh4rIjSJyFIC2jo6O7jL7EiLalqxHnVCjxvWFIbkryWTyejbRLqjqjgDKDQ0NLwdBMFVNOvlNIloG4PB8Pj8fwIWqOg8m4FMdBxbrmHmJiKyKf2OuiOSYeSQRXUJE76vqZADLgyC4ety4cavigO9v6XR6JoC6IAgOEbMK31pN/MqRYR4+gAXEOzPzMrKS6AoYK6AbyHgLgCkw07FCEARNInKIGvo+yOfzLwJ4lpnTAE4DMDtezN8VkbGqurWIXA3bgKM4C1MR2YrMFbKXqiZFpCvO1r4gok9U9afZbHZfEVktIicHQTBerRXT4b2/KZ/PnwDg9wB2cs7NYeaLYPTA3ch61TUABsLE03YNgiDXWzB8xzIl967Q9K2F3gXwc1Udo6pnqeqZaq2bo9VaD8eLSE813Ys0EdXMmzdvv3w+Px7AITCswyo1XQSFgeXujkvTewE4M5VKXZ3NZkcS0ZPOuWmFQuFuVT0GtgE9RUS/BfBhLpebUyqVToVly2O993cC2IOI3iqVSjuTOdF+QUT9Ghoa3lDV3zHzvqr6F9hGtq+qfhFn3EREtd77Ohgm5loyC/MjYEFjDzVRrlpV3R/ASO/9WbdX65oNKTo2JZXeY/2UiLYgoufZ/Cx2EpGeRJSBSaaziCQBrGPmN0SkzXt/CxHd7L1/iw1UvDreuM8RkenxPR8mIgeTaYckYa2IaiIaDMMZfU+tFbgjM+8Fq5ANIqJuRsMIMm2WLICfk/mQbEVG194lDnba8Pfz6qeqnWqib6vjOXIrEZXU2Bwexo4ZCuAlVXVqdGZWs4R/KIqivcik3lsANMHA0d8mYw+tief4S2ysj9UisoCZF8Bk46/03l9ARMfHm/319fX1HwP4LSzwWk5Ef6TY0TbeyBE/b+Kcm0REw0XkuUQicU43wNF7PxcmA382AAmC4AZVvU1E+hKRTyQSrxLRM6o6oKGh4UK1NmalUql8S1WnMvMKVZ0sIm+r6taFQmFuZ2fn7DjweEatmvscEQ2M7//OZNWvr8zKiEhSqdReqrrFqFGjlhNRJpvN7tfQ0LAyDMPJACbAggEhotu7urpei9sh5ySTya9cWlX1fRE5Nl673gcw7+uBxZIlS9JqeiBHA7g/iqJOVd1sUw4sgE04uIjLXRlVXdHQ0NCmqpNE5Nl/9hk1u+z/anARI45vBHBwEAT5f+ezo0ePfi0IgjGq+n2YWuSUfD4/v1AoHPfKK68kGhsbX1fV+aVS6Y4YsNa+ZMmSHsz8EBGd0tjY+DGAznQ6XRWf39I4C5xNRGuZuRQvdo8T0RaqOk9ErlLVB7q6ugYBqAnD8JUwDCcQ0RA2f4oJagj8YbAyfAHADfFGNwfAx6o6goxn/gUzj1XVt2Eb9CBYFpcionvWP9dsNntvvGDcXCgULnHOHQrgCVWdEmdEQ0TkTljWf1A2m90xm802qolo7QzbLKepgQr7wPj+a/L5/KkAfhb/ZhuAvURkolrLIU3GthgFE3mqZeZ1ajLpn+Lv9MjlZP38NlVtAZBi5o54Ma4XkSuY+YgFCxbMJ6L9VHUOGUj1JmZuAjCCmW+Ojyvy3p8iIkfCzLVeUNUbATzOzLOY+Ujn3CuFQmESEf1UVZfCKJmbwzaq7vbA76Io+j6MMVINE47qbrcxADjnniOiu0SkTkRuzWQyAQxMmQTQJsYIahVzRr2rXC7fWygUnhaRPWy66CRm7iLDd1wjIoeq6ogwDJ9JpVJvqHm1nKPm3NqZzWbvnTBhwrtqug47Adg6DMN7iGgqjBZ8jJraaWu80UcAnhcRdc6thGWcx6tVpc6F+Y6kU6lUIxEVmLkLQLndYZooNvqcvue0Ro3twyLSDKtCLBIRYuYKWRWGv4RmnkxFr79Uxb+FcweKyAGqepSIPBxXOQhmQHYiM39HY8VOsmjwUwBryRgxREQ7AviWqu4OM/3i+PM+fjYQP4MpGK4hHVcbVMyh80wAIKK7YDLiA1W1IiKPENGBIgJmXptMJs+DVUy6/2slohYxr5vGOLjwMGO+JwCMEJEP4jkxFsCHZHLWnohqSqXSUBFJqOpAZv6ITCb9elgQv9WYMWPuYuafwbyXRgIoMfPlbGJpFVibplu58y0xeq0HMDKKomYAk1X1+Uqlcn2hUPhDsVhMJRKJVQD2IQPuLgnDcFC5XL4L5j/SosY0qRBR0NTUlGTmawCsGTNmzAe5XG4ZGXtkjar2Z+Y3ATzEzA+reeTsCGOVPKFWHVsACy6qxej2X41yuTwuvoc9vPcryLRwDlbV43v37n1MvJ5MDYLgemY+gQ2cvnzUqFFrACBmjOwmIpNSqdRENdXZHk1NTdXr/05XV9dEMrzJTtls9gZm/gmAG7CJj02WLdLZ2bkXrEz9fLw5LmhsbGz/Z58plUrFdDr9X2OM5PP54wGcmEgk9v8fKn9uC5PVfZ2ILgdwQd++fc8Pw/A2NapmHqbq2dnV1fUnVb08CILuKL0riqIqAHDOLZnD/vy7qqSyW4X3aYi056gKKkQ0NQYZjvHeH5HL5ZbFbZZnABxNRG8AWC0mRnNfnBmPUNVyKpW6r1QqTWdml0gkflmpVG6FLXopIqolog9yudzEMAynAviliPQgovthQcJXY9GiRX1LpVIAYGlZ9cx3ElL7TgpdozwlGsu6anPTobgWwLeDIHgTsOwDwJxCoTBEVfcUkT8x87EiMoZMla+LTP+hu9xeS6btoET0OazsfKEaqG43Nr2P/Z1zR3rvX4yzw+eI6DTYgvkYLMN8yXvfj5l7e++rx40bNwfAlDAM/wigjpnfCcOwTs0ufjWAR8mM8wYC2IGZz1fVAZVK5chEIvE7AG8GQXB07K8yDSbffB5M9vgFVc2oKjNzXcwSOkpVC8lk8n6YrPXrcTuoI76c/WHl7y/IcDUJImorlUpPAviSmfup6oREIrG/934XAG+r9ZbzsCB2iRpV2KnJKH+iqr8nU179UkROTyQS/UTk/M7OzofT6fT7AB7P5/PLmflzERkSBy2fOuf2VNX9YvrdCgDS0tIyul+/fnPU1CgHEdEaMWDgnrAA9QMi2g2GT/m0XC7vDAPg1qjqNOZEGZBu47NvjCQTwwKLN5k5pWYY9g6ZVft1EXDFk2nZ4o2k9hDCL4EIbzrgmJKT4ZFbAsMKdKpqNTMPVVUFsDbOmOtgAdq9sA2uB5lHSIaI1olJPB8C4AmYKdjT8fNzRBx0bwkL7hriIP8tNerl3jAQ6nFxJSAio3SfC8P6fKyqfSqVSpGZQxHpi1gZlYiq2UCPrUS0kAxHNTi+fuOZuVUN57VZIpE4I4qi52C030Q6nb5SVT9S1erYRr0dVpGMiOj4QqEwXkQmwTAe4r3fPgiCz8Mw/A4RPQxjBpWJaL6IbE5ETwZBcFg+n/8REV3LzC4O2qCqW4rIlDg482pCdBER/SyVSt3JzA+p6o/UTARXEFEmnU6/CWMEVYVheF4Yht8TkY8BzCCil7LZ7BHr3/t58+aNZearieitODgvxL/VSjFFW411dyYRTUokEntHUTSUiF7I5/Me5uC6f0tLyxRmbsrlcq8BgBgY/TNVDQuFwgthGP4NZtD4lKp2dHV1NTJzqKofZjKZIwCsnzx9F1apOWTp0qW1AHZbuHDh2Ruau5vS2GQxF/l8/kZYz/c4VT1dVV8JguCfVi4AU/MMgmDMf+H3v5Ik7haf+k9HGIazReTgxsbGz4Gv8BSXkgHvatR6xJvBAJD3B0Fw1XqfvZOIrvtxw6oif9DrPgG+t/53j4yo9bQOqk4Q+SiKdkgmk9sBOElNAIdgG/OlMMbE7iIyprGx8eMwDA+GLbCeiJoA7NnGWPRQIlobEXZdzXhz78htsUMZvQAUyfAFNwBoYea/qOosEXkbwEQiOhCGWXhuhvPzX87gnjY2cSAAYEAmlfjTiWVqirPa+cz8qhqgcDsyaeBuQGuFTFNgMyJ6U60nPBaxwyUAqHkz/AXA7mpI+Ovijac/M3/Pe781gLPIxKUuILNfd8z8fpxVLYC1oB4moh8T0Uwx3YkcrMrgmPkl7z3H2eQjIvKKc+7F+H6dJSIvOufuV9Xf5HK5p9e7Xy9WKpULE4nE02RgvP6q+qlz7mQxJ8xuRUVvazQejCtDpwRBsFM+nz+biK6Ms8lbiGgyEfVAnEGLyIGJROI3IjJCraT/EhH9WUSOYuZlqvobVT2BiC5WA3FGatore85H9MdPkthlJenfdi5j9HBxXbBWy1w16mtBVcepKUhuQSZKdZyqBiJylnPuKjX21m/izPz8+Li+IKJr4/m2FRGN996XmXlcfD37k1GpSU2ddvFF1b5uNX8l0vTVIAAXdLiOAR5MxiDqCwu6Emr4Cnk26dMvpL8pJZJS6EUdTnuqATJUtYsNfLwMQD1M9GsXVf0ZAJAxIhY4526OouhaAO3M3EtVP1WjfZ/ivb+OTLJ8b+fc3WptvsVq2I9BMLzLTjA8TLOa/8rFZKJWOzDzvQBWqNE3q4noeRG5L65wKIA+sCCim7XTLZLW7fXSLiJtMHv5MiwYyZOpbR4AAwffCaAkIj9h5kOZeXz8/CdV9WUYXuRcIvphHKi1kanVDo6Dgw6YWu/VaoyVGUR0H4DDiOg4Ipoaf65/fP9LAL4QU+RMEtGxsPbk8C5gj0UJjVYxPtzKo3akp35s99Gr6iWpVOqeUaNGtRYKhctV9Z0gCJ5Y/x7Onz+/v3Pu7q6ursPT6fQMZr5XRH4fz7F5MKZOT1VdIiLn5XK52USkxWLxIhH5paruChOd+1Ntbe0uMXsOYRg+DOAOEWlh5juJqD8RXQigWUSOJ9MDuoiZP/fePxgEwR7xWsPFYvEz7/1FjY2NN4dh+FNV7czlcv8ATN0Ux6YcXMxjZmloaJhQKBTmMfOEhoaG8v/tc2EY/kVEJndv5P/ueOSRR1x9ff2NAFItLS1T9tzzfyaMks/nd2fm47PZ7Alffy0OMi4iompV3QmGhN8jtvcFYHx9Eblvak80AHr7hn7jkC5q3afCCZgPwgpmflREHl24cOHs+vr684ioBdbWGENE3QCvkEw2d1sA+pkj+X21T3d8zdRnoNemCzoSs2FiSKSqRTI3xTUwK+ZnReSZXC63Jp/P97qwTma0EcZ/7RDBgF7YzvM2FxoZVx9qYCDIL+OMhFT19Lq6updj19iVqnoOEe0BYJKInEVGJzsWscupqr5IBlztTdb/fl1Nh+JbMMAjrXEorVHdt6+gVw9Ql5oOwOdkHgtvwNhI34X1oBeLyFmNjY1vdx/3kiVLenR2dp4L4Fxm7gAwD8YI+JiIjmhoaPgH++dCoTApzt56M/NINdnpWSJyEGLDJTUPj+NEpAXA71T1aGa+Loqi08aOHft+Pp+vNKdAryZUW0i1L4h3LzMFwivjYCoCMIeZ3xKRXaIompJMJvcQkZOIaCisejBGTao7EtIV96d1y3eSmuzekgkAVO/pO2TJSY/SkT4MwwtUdalzbqmY9kWiUqnsnEgknkwmk8eWy+VnmJnVGEt7kElFb6VG0ezy3p/vnPuRqvZWAwV2b1ga/wc1LRYPAB85RDdWS2p9F1oCMLFE0aEV94CIlJh5n3ieXiAiZ8Cku+XCnniqfSPW5oeX2e9R5qJaJaeVTD21P6z91O3BUQGwgJlvjqLoqcbGxs+bm5vHR1H0mnPu2bjtdoWIPMbM09Wktr8koudU9RA2oayBZEJUnoiy8bx6Ig6WEzAcVC9VvapcLs9Ip9OfwESuronB1A+q6p5kAOLFzLx9XM0AgM74+55JpVLnlsvl05l5f1UdFQc6a8lM0ZbDqjBj48uXxN+VKhMwps1HRPRLWOKSUtXbiejldDp9TFdX1wMADlUz6ZoZn9M9AM4AcHQQBM0AUCwWD1UDam7unHtRRFaTqeSm1ATbtspmsw3XLinc8nLKn9z6d+l6bBMhOrnL+TrFxzAwd4Ys9hvGzLd775fAhM+WLVy48INtttmG0+n0TFU9g4hOBzBDVY8iovFE9JiI7EFEt8fXfRdY0Pilqo4moiUARqqJq/04l8vNAYAwDL+lqheS6aZkAfyoqqrq01KpdJWqDoBVGru6XbXDMHySmS9paGiYt2DBgpO99xdns9lBr776quvbt+8cZt55U9W2WH9skpiLYrG4NRnd7ZUwDHclorf+lcACMNyFc+4/wl0sWbIkXV9f/wCAz4IgOOl/GlgAQFzuvnlDrzU0NLwRBME+ZMZBJRjG5LIwDGfGmxSRsTgygB60sd9oTlIqzk6nsHmWvAzgs1GjRg1OJBIvquoPVfUo59wT3vsfkIG7XqhUKrfBNnV6KuVrvh5YAMCnjiY0s5waZzdRHOGrWjm5DebVMT0Mw3kR82PtROM2dIwC0NyEungBWJNIJA6Is7eFahoPH6VSqdfjwGJzACtinMMWAKY2NjY+yMxPwPr6rKq3xpnbXgDGiciTsMX0B8z8wlpI/zuqZN+Lqv1Rf6iRXj+vE9xeJZlWQpLMvXSyqr6hqjsR0Z9hWd7T6wcWTU1N1V1dXWfHi9jDInIRgCoRqVLVQSIycf1zXLhw4UAiCohoXzIRqoiZC3FgsRLAC/GmtxaGsRivqscx80MA8s65k8IwvHhGGu6WjLjmhCZWOSSbnbpbqzw/46JMvOnOic/5TFUdnEgkXhGR8Wz0uGaY30ZNjCu5/YUMfzx7vcACiHd8oh+0fDDiB/GfFjHzyIaGhrnJZHIXVd0ikUjcqqpbRFG0ExE1x4HN0WxGWVsjduEEUJdIJG6G2XoPZOY+ZKwNgWWRv2Pmp+Nn+kkiWjLIo3hxh4v2rfCX23gsn1Chz/cv0y8mlSiIs/y7VLVFRAZEUfQ+gFFRFL1DRN/pNArsBsdS0rmq+h4sC7+NiB6CCT5BzTK++5keLiYo91E+n++IouglVf0iiqJJIlIhor7M/GJ8js3MPCMIgvPIqKeDYc/q5jCsxRwyNdzhAH5PRFUARqnqvblc7rl0On0aDJ/yAyI6oVAoXBHP1b5qVcuZ3vtqWIDQASATW5uPTiaT7UR0UlxRWKHGCnmPma+G2cTXkAFDZ8OkybvZRE/CFGoHqOpVInKuiNwCy9T36+rqKhDRQTCwdbtay2dHAFcQ0fNEtF0+n59YLBYbYKDrMll7LQSwXYztegOmyzFq1oJwzQspOXX9wAIAliWQeKBKlYxu/aMgCCao6Zg8473/CwAw80RmvqK+vv6NVCo1i0wL5Do1oOuUeC7NjoOMFmZ+OJfL3RYEwXGlUmkiEfWJqxGLYIHCOGY+Ip/PT5w/f34NzJp+CBHNCYJgYi6XWzh8+PB12Wx2Cse0ZwBfMQzVwKknNjU1VXvvf62qlxCR9uvX73Aiev5/Q2ABbKKVizAMT4Kh5y9m5iMAPBQEwav/6mdVterfLVvl8/leRPQEET2QzWb/+B8c9jfGwoULB0ZR9NDXTdbWH2EY1qvq/cx8h6peBusLfgSjp41Ws+tLWwQAACAASURBVHq+6cyecjoU+23oOwZ7+J92JipqYEUA6EvGjPgClgWNggEmn4//vSWMJrg1GXK9dF6t79m5kdm0b5l0UokFlhGVYQsIEVEyzr4/JiLtICTOr/WNGzvXb3dRaWLk1sCCEx+fY52qbquqCtsYI2YeLCK1sAXNwaoLm8OEgmrJaHbNMIDmjqqqMVgwKeYYy7dUCRYk9BtntI2wntVOFVgmuoCI3hOR8UT0pVoJPgNDqm+pBi4NAcxR1aNh5eSSc+61KIqOUNW+cdXlIwA9YdliDyJaoaoFMmvudLwxlNVcNbcFsFat7ZNRox/OAnCiqqZbHT10UY2fvKGoNqGKy9oTK6v0KxMziis3FRiW4ldkBnRVRHQUgISI/O6snpoT4OAN3ZOU4sWrW7knM2+uqluQtaQcDHPj1USeVpB5enxJfzeUqohIiqyE/xmMGfEGGaOiWVUHk9mGfwngCmYeKSLXBUGQWbhw4Z7lcvlpIuqIv7cK5ph5dzKZvF1EakRkejzfLoNRfQeROQH/+uIaX72aN5xYbRHhVz/vdMeriVmNUtUtYHiLNQAGitE/b1LVYTBGwQMxruOHanTnao2jeliVJWTmGSKyh6qeCzPX6rbZfh3WDgzUvGYuU9Vfkrm4vhoEwX4LFiwY4L0viMipixYteqq+vn4OgLsAXKNmWZ+B4aEeJWtB9IQFIkUydtUYVV1SqVSuTCQSjzLzJSIyNZfLDc3n8w8wcwrAd8SchAcT0TsicidZ2yMrpsXRyMzVIvLjXC53WxiGOQCz1FQ9q2DCbSkxJs1TRPRK/Cz0IfNC2UNVP4nvxxCYV1KVmq/PIhHZ5t0UMndnZIMriANwdXtyUUKk7L0/wDl3JTNfvzG2RaFQmAsTVfvYe38cGYC1RY0yPEDN7O8VEXmHjMFxZzKZfNB7v7mq3iIiWwNojpOI4+Ln5E8iMiOZTL68Pn6uqampOp1OrwbwMoClmUzmvJeHrZVoUfK9MIn2OsGWC5L6k+mDG+8OC4WZAI7ZlLUt1h+bKqBzoqr2SyQSs0TkD83NzT/6Vz8oIkU2Bcx/eSxcuHBgpVJ5DMBvs9ns9H/7aDcyyuXy6WSthw2O5ubmPlEU/ck5N1lEdgNwE4AfJxKJn0RRNAXASudcDxH5Q1DGinCDup/AQKGyiJSJ6E1mfsd7vwLARbAe80dxJjVaDY1dC1s0N4P1yz9VVQhRD+CbmzEALGZ5GuDdyQyxFsAWnftE5F0AzzNzDwC/rhLJVCuu6CBT2Pv66C36logsjjOTaiI6bu3atcvr6upeggVEGQAZEXmJiF7U2MtDRD5i5pPK5fLyZDL5Aply5AQy+2wwsyeia1V1MjM/0EJ6+IKEDtvQMSxjoU+cax9QkUPjwKCWiHaOouh8ZvYATmHm49WYNz8k6xf3Y+YzAPxFRNrEbLC7yHj7a8joiC5e/FpE5EoiukGtLfGQmpoqwaosuTgInAUL8nYAME6NoTLhM9LDN1Yui4jwMaN6hNACNdnwoao6jk3noWcikbhBrYf+GVnpucM5950B4jf/hDdsdyKmU7GVqrYxc0lEnoExGLJiuiA94wy9DNtMR8QbcIL/Lv3dpqqnEdEvvPeXOuduVtXlqtrE5utxdRRFrzNzJQzDbSuVykNE9Jiqvq2q13Csq0BE21cqlaOYeSmARWSy4/uTVQQGAmgE0LFjhUvT09Ln6+dChJYTyrQaQCsz70hE3x89evRfiEgLhcJNagDfqUS0XFXXxff/NDEl1E5Y1tsGq0rkyYCVfUTkZLVK3Uy1NpCosTr2iBODrQA8oOav0UFEXSIyfP78+Vt57x8GsCaXyz3R2Nio+Xz+EyI6AgawrFZVKpfLg9Pp9J/iYLMThi9ZijggzGaz2xQKhaWwaszeRPRFoVC4UUSyYiq5CmCRGi7hZiI6QkQyzExs8vyfk3kGPRaG4dFqOiTrAEBV7wdwpKhmCFgMYOuGhoabyawBRqnqA0S0SzdTrlgs7hKfU3ei0YuI3FrSVgAbNP/zANrF1/YE1cSGZCoipXw+fzQbu6sbsLrGOdcaVwaHwKjzfVT18yAIuhU8MX/+/CwR3UNWJZ1FRCOiKLpPRHYC8BkzLxWR3Ylogprf0fGwYHlcFEWnhmE4kAyk+zcRGUxEH3rvT3DOHfNFV+cbj3+Q5HJGBwHorsPccfAH+R+XyS0an83+rwgsgE2wLRInDeOIaIGI7K6qLx155JH+//5JG+l0+t/yGCkWi6MrlcpzRPTTIAj+a4FFsVhMEdG3a2trv2Gy1v16FEUPqer5DQ0NRRhQsACgKYqiM3K53KEALvXe91DVriPLbmit4hvy4ClFaZ8yf8nMTcx8qffeEdFkWC92byIiEVkQL4p/U9XFRPSuqpa992cT0QNE5LaNNl4F27fidoPRJAeLSD2A0d77n5GJQa1W1c3irPmGb5e4HRvw7UqrvtboXZLMbGmAqm7pvX+mR48eI4jofWbuQUQrATwFYE8ABzLz6TDfhhcBTE0mk2+TiRC9C9NNqCGi6SKySkzQ6BwReaFlwx5kX40PSEIiOiqXy80hYzhcHUXRXCLahYi2895fJOabUQXgIOfcNBhfvieZAuV52Wx220QiMdQSXHwOq65UxyDQmwGAiOZks9ljcrncbblcbloulztKRG4C0MjmAzGXTEZ4FRGNV9VmEd24mRaApzM4Qk1l8OogCHYGMAKG43hPTSDLq2o/tRZAh6rOqRO8v7HvI9W8c+57AG4Xc1UNYCqhXbA5GTLzWpg09AEARqi5nq5UA50STC/jsDhAuY6IXoC1DnZn5noATc65g2Dg0bdgGwIx83hmXpLNZo+OWzF/IauEjAHwbQD9yITBlsFEpY5i5nf2LdP5+5T5k9R6t7m30MqftPHnAyKqE5F9VfUKVf0WGdivt6rukEwmHyQzZXsol8tdGQTB9zOZzFYw7E8fIvoyblHNJqsgPILY6j6ufKxk5jY1112FtUyOg1VVTgHwWyLaRkQ+JKseLVIzZHt73rx5g8MwvJiZd4vPrwxgJyIqpdPp+TAtk5WwjL0NwIGw6qIPw/DOOHB5lUyIroeYRP7zAIaStdkuJ6K/xZTwC5m5HM/LdaraU4wS+yMiGkVE+wG4mojKs5M6/qpq2fysHtLjvB469NZqqfvzgvnHFgqFw5j5eWZ+lplPLBQKs8IwXCsiz8VBWQ1MH6cVwBcD/d8B3F8f1QqpVdTGx7IQwMpEInEtgD8R0QwiWsRGmR4oZrBWzczjyJyZ1xJRXRiGTWEYvhGG4RvM/CAs2MzA8FUMS5peJaLHVXWgc252/LcVsKrguTDZ9B5EtBCWVBwJ4GdqFbt7ALTdXIN3y9BvtHbboGNvqJZveFptymOTa4sUi8WxIvJHmJjSnkR03foAx39l/KuMkfnz5+/IzDeKyLGNjY2L/tNj3sgxfF9VR+ZyuV9+/TU1KtU9AN4KguAWAMjn878CMF/Ne2QpEe2dzWbfCcPwXgD7AFj0uUP58bQMW8EY4lX9IKEv9y7R7cOFTgNQCYLgK5vv5ubmPqVS6YBEInGlGmjpC1j0/pmqNsPAdkREzwMY9qHTHa6v8gO6vtYz3UzprYva3dSEMQgGxZWOiEzps6TmFDggXrQyqlpe7NS9kFascOAar5KN6JMDy/xphvnSKIrKzHyJmmBPTg0d3wGgK5FIHFCpVKaQUQPLMABakZlnE9F1MPXIvwL4SE1ym1T1MFX9LjOfpKo/JqJzVpGkLq3VERu7N+e3c3lLjzZmfgXAKO/9VCK6kpnnqDl/7gSTtR4EoMM5d28URStyudwfur8jtnK+Qw0vkmNzTTw8zkanxxnXt1T1VwAehcl9TyGiTjVRqTQRzapUKqeOGzduQaFQaFTVpyuqA35ZJ6n2DT/ZLVWVmq2u6OgYyMxPMPOhDQ0NHxaLxb28979h5oFiJlJEFvVUAHy4yOGRm6r9Gfq1zDIFROe1u8VbqGVxAE52zv22UqmMiQOJ7Yjo96r6PRhAsQPAAbCK6UpVHc7GUBlIVkofCev9b1tmDFrA2msNQ2pE350Q8S4JZo1bOJGqfs7G5NhGVV9h5i3ia96uprbZh/7eMhkIE8UiIkpWKpWznXO3dwHPfuK0Tw8l6ev1+oULFz7RnYioKTjOYNN42A9GuXxCRJY3Nzf3PvLII31MHb4HVupPwUSU+qhqQEaDPISsOjbQOXeH9/4kGDtDYE6gvcgYQa2wzbaWTNOl28itnUyHhsjaTSADYrq4wngnEf0K1lKqkOE5Vorq1s1J4mVO26oVFETo319oGYC+3vu7nXOLAfyOiK4VkXEAxhLRFapaglUSugPz4d77m8mwFLPj46tR1YWq2vvdFDa7JyPf4N0MEJLz2mhdwozKBqhpe/yZmW/t7Oz8NJPJ7A1gsoh8Nw6u50cqn11ah9wa0i2/Pmm3q+DF47rcDwG8qqoDmHmVGnZjcrcwV/eITRSbYYHDrWQA1s9yudwV3e8Jw/A3sATlt865id77X5Epqi5W09OZHicGx6rZIPxVrdXXK74v6bgVVhdfD0WcqJ9f6xd1bACQHo9nXx0yZtJGXtvkxqZYudgHplr3iqqObmhoaPoPvmNFsVjc4p+9J5/PH8rM14vIt//bgUU8pqjqtA29EIbhL4hoVXdgEY8aIuqIWS53AXi0UCg8parDVPWqIAj22Fxo2mnt1PvSNl7361a64LROjoYLnaBmSV8bhuEd3aZp9fX1q5PJ5Eve+7UwvYgUDIw4EMABal4U3yei6ao6dlCEriPaZdIuFVo7zBMaIir1UfrJJe1ubUL1+6q6KIqiIwAMZOZBRLRKRE7P5XIHee/3gmV/TQDuG6VurzM7+MHLW/nTX3S49u9UXD4FjBLTsXhKVcc758bAkONVZD3VgbEvxm7M/EkikThKVWeSlff3q66ufk9Edgew1Ht/n4gcTkS90un0Z8y8B4CPmPkWAOkBLjVlG8+tG7r2gzxFWwq1EtECVT1UVUcz8wxY22g0zB/hTCJ6Jq6YvOO939s599U8zOfzR8QA0t/mcrljnHOPq+rJZG2SR4loMxF5AYZFOZKIikR0OTP3YeY5zrknySTCn0mlUtcvWLBgQDabnZ9KpSYkiUpHd7EmFP+w5icAr8Cpzw8fXootpU8RkUdj/5oyM2fVNBw+I9MPqdiaicIooZ1+3pHgbESaUSAD0q093t8Cye03F+wFCywOVtWGKIrOBrCsVCodqqqPeu+fVJOrXgjDFnRrRWxFROvUjJu6VHV/Ino8CILvv5PQj39eFdXdUSXVT6Sl9r4q3e2qas8tkFKc6U5S1QNFpCWuAgwXkYVilMPuzT6KA9ey2uijxkSpc87dAQBp1a2GCc/uJ3iMmatGjx59YLFY3KVYLDYsWrRoCwCnqPXgj6ypqflTZ2dnKwCXzWa3KhQK07z3t8I2nOrYDKssIjeRaU0cQtYSexJASxRFF8Os4feBUWuXkQFUFeZbMp9MUG0hET0CAz9XYB44DkZDrY7/TiJSgumdbAETtuoE0K/ElL26VqNbq3yPF1My8Km0DLisRtz0tFapKjnndiaiIYlEYpJaK2lzMkXVfYjoRwBQKpUO895XVSqVAfGzdX4cBNWIyCoiGsrMvV5MfTOwAIAVrPxGmhaTUbQPqVQqOxNRXkT+kEqlZqnqOao6PgaPf0ZEDyeIb57axY8PFnqre+5mBG2HlXjt97vcyubm5veZ+RyYINo8NX+V18MwfD2fz5+6ZMmSHmEY1pfL5RkwDM9MANuLSHVcheh+9qYAGJbNZk/J5XLLoii63zlXJqJ+quqbm5uzjY2N58KMCg8lw9eMLZVKhwZBMCEIgvG5XC6bzWZHAJjjvT9IRG4kopcBTE+JbrC1AwAgbKQxvWmOTQ5zISL7waR2J8QZ4D+vcW9gEFExiqIGWJnxGyMMwxMBfK9UKu0zYcKEtf/DQ/7GKBaLY733K2OFzX8YhULhMFXdccGCBYd87aUaxPLfzPy8qv4QwDNsynVbxg6xZ8aL+L1kJl81IvIRmYEYARiRSqVeaGpq+m46ne4rIk+SSRt392VbnHOLyPASFZg/wqFkkuDv7ZKoad2+q1yEWVkvIaLvqsoUEO3HzMcnEomzVPV1ERnOzBEzv10oFN4WkZ0BvBcEwfb5fP58ETmrtrb2mFKplCyXywtVdRtmfkZV91PVecy8tYj0g9lKb62qPdVK/U5VR4uIisif4iy/jYj6t7W1taiV+mc65x4F8BMRWVypVP6qqreStURWM/OXURS1HS/0+v0p7L4oiZruCzwiouiYklvOhC1VdWcyqeM1yWTyB5VKZRJMs+Mm5xzE7Minrlmz5vX+/fu/LyJnzZ0796O3qhMPX+uk7wdJ/aRWcMJLhfxF3vsGZv5MVVcx809U9edE9Js4c+3DzLeJSB62WO5CRG8C6Fkul2/IZDKzvfcvhGF47siRI2fk8/kXxng+7GcdmDs7oY2rGa6XonOniJf2rciSbrSsWjr8mff+QwDvkmmVbE9EM2FtpTSZxfe+RNQ6QOmWKZ18JkxGWgF0qPrXFCjGG+iVsKqQ5nK5RwEgDMPXmXk3tZ74KACLyfrc7TBTrS1VdZSqRmI6GFfMKoat51X53Qj0D4v0xw64NyOZn3RwG4DLmbklPo+zgyB4NH5uar33l5K1vn4dBMHt77//fqq9vf1VNcDknmq6JwrbkJ2IJJm5XU00bJv4/73EBON6wdoGqba2tpfS6XQ7EVWJyJsAZpJhLwIiWhBF0VlkLIljYNiG3WEB1O+J6Hswq/Y7AZyjhofYNn5Wq0XkhLq6um93dHS8GEXRICLahkz583IiGqKqQ1R1DzI2Q72a+dhOZJTVCAa8rSYi/Dnp8RFr3/UuHTyAv6Rkq5x3la09bSMiRRH5Nhn9ul8cRB4Ew6kcnU6nJ8bP9DJYMONEpArAx8657QEg8n7hSkLq6+tT9/iEpUaVW4nozlQqxWreLE7MAPA+ACc55yZ77/+gqiMADOkTYcw5FXpXiFtnJOW0AyI3RVVPEZFkfX39y977kIwu3ltE7kgkEscy883e+81LpVITgP7OuStFZE/Y2j2EiKrK5fK78fw4REQOz2QyBxOR5PP5bYjoVRH5MJVKbV8ul4+tr69/IZ/P30ZEPgiCmQBm5vP5IJ1Ov1UsFncG0OC9byQTeduZiO4ic4ftS0TR2Igyr7iNXBTRtzfyyiY5Nqm2yPLlyzNtbW0FNcfNLDP/IsYj/Fsjn8+fQER1QRBcv4HXziei7Wtra4/tFlj5b49CoXCXqt7zdYZLPp8fT0S3bCioicWybgFwmKqOcc694L3/hYj8mIiGM3O1qn4RBMFVYRhOTyaTp1QqlZvizUOIaLaIrGTmHeKMLwkT5lEA3wuC4IkYXf7dmpqazTo6OiRGW68j0xG4lkwYqR8RrVID7J0iIr9ScwM9mcxKep6qfpeIjqhUKssSicRf1PrVs1T1TOfcxyJyIVkP/l0A+6nqMjK620hYa6ZYqVTOSqVSh4vIacz8EoB91EBdCWZeLiJjyVgH75NpNwyPF+UuMu+KMUT0TpxJtsfnuk4NrOZEpJWZh33B6FzJKv0ENf2VV4rICjLgaC8i6q0G7Gvp6uraqbq6un8URQ/EFYtRMDnonmy6Bovuy8jo2cl/pOs6ReWMLrdumKdDYXbeO8QbocTHU51MJhu7EeqxbsbRRHSjqs6EUf9CmCLg28zcX0ROhTFTqsQUEW+BbRIfAHhSzcTsEzUjre1goNDlMIpmAkClo6NjTE1NzZvxtaqLMSkOJnu9Lr6uw2DtgKczmcx5XV1dOxHRpGw2ew4AzJs3b4Rz7nIAw2H222kA1xPRDwHcqao/iVk618LwCK/lKZp9a5VUbezZuKyVfapUHjRhwoQV+Xz++VQqdZL3vsV7fzwRTSGiTma+bPTo0c8Vi8VhYjowB6i14nqq+d1UiOhTIurpvZ9B5qT6NhHd0tDQMK/7t9Taj7MBdIjICmauJ2vfTYQFILfDWkXrYJTMFXGwvi2sJdYOayWUROTPZJWHvdWwIZPUsCdJEfmpc25XVd0ZQA824acMma7GKCIqdXV1jR0/fnxnoVBYrMakaWXmXUVkmqruxOZCm/hFnfi10A0mjfuXWQ8qkYet+1/Gz1K3UVsGFjAtFpHuwGIZgOeccxUReUdVH2DmiWoWCT2m1kaDDcj9zXFIicv7lOkLNYZQL5jeyPWrVq16vm/fvreoalMul5sWhmFTJpPZubOz81Ii+oGqfsTMs7LZ7I8BYD1n1GEAxjDzbd77Hci8UU4golvjak8JwPWwCtq5zPwZzC6+RxAEE/L5/O5EdFUURft679vT6fQPydqnLeuz8ebOnbuHc246gF/CHH4bYKygIwB0AnhFTfZ8Z1h7631mHiamldO60vG031VXTqmYSu56Q9+LyG33xuDcmo3N7U1tbFJtkdbW1l3Iyncz1Uxv/u3AAgCcc8V4Un01HnnkEVcoFKYR0ZbZbPaI/1eBxaJFi/qqapDNZv/BmTXWQLhDVb+3oWqJGi7iNhFZk81mDxw9evS1AFY5544hohEAtstms9fEb19SLpeHP5WSeTfXwP+2xmdurpLtFicwKWY81MEqIZ8CeCcIgidigOlwAB+1tra+CuBFAJvV1NTs09DQ8AYRFVW1VxRFJ1tSTJH3/gEAb8P0C/qoKaXuQERlVT3LOfcwDMTWQkRryRQ1PyGj0D4PIBtXXs4HcAYzvw8DgAbJZPIZNf+PD8gEeZyIHEOGCRkPc049laz9oiKSZua7mflEmIZAm5hRmYf1v5er9YY/AtCbmQerqvQWvFtfwW39hFQNABoQUS2MLdNdjt42k8l8FusoPBID2X6VyWRGisixqtq+nHXo1wMLAPCE5F0Z36qqz8WL/KMwjYEVm222WSMzL/bez4j59hg+fPi6XC43DRZIfMRGtX5ORGbGWfB31YCSkap+QETnwDa/mrhKcB5MDXItGbi0AOunOwAHqmpaVVdUVVWNBZAX80AZFj9XX8I2y56JROL0ZDI5XlUvB3BoV1fXp8w8Lq5QAADGjBmzGMAwVd2cTHTsLZji5ixVnURE6r3/laoeoarH1NfXL3g7jav/2fPR5mhtOp1+rVgsbkFEW0ZRNDGuJPQSkQO89zUAKmEYPiwiN6pqFEXRTbDAqQ3A3DhoXS4i9znnxhIRqWpPAL8Jw/CtMAyn5vP5Xvl8/jCy1kV/Zv5WqVTaTVWjhoaG19WkyHvBcCSLnXNZVT0+DiCeL5VKWwRB0LdSqYxUq0htDwuo2pg5Bws8kgA8M18GYwJlYEZ33yOi/VV13/g5nJFOp88rFAo3x/epDOv9z4DhWrrUcCZU1g0HFgAwKyEPkLVc/kyGdajEgewcGO6jtxp9+kdEdBkzP0NEfURkABlF+SxVPR4WUI0Yqm7xhn6HAD86wmI1TZC7YAJ6z6rqEX379m0G8F1m3jsMw4tVta1cLk8KguACAPOIKIhbPt3+UC1BEBzHZju/VlW3A1Cn5hR7vRr9d8dUKnV2EARNQRBcTETLRWRZnExsG4bhn5n5Du/9d5LJZEM6nf6bmn5HyXt/TLFYbCgUCscVCoUrnHPXx0nQBUR0NYzO/jYZa6sO5kK8Nn4OykS0NYA3yBhWL/Ytla++tN19vmuZVxOoaStBRxq4JuH9+P9NgQWwiQUXzDwRtogOhrEG/tOxAKbcBsC4zPX19U+q6oogCM6Ms8r/J6NUKp0M4HZar53T1NRUHTNDTs/lcsvWf7+qUj6fP5WIdmTmn+ZyuSu7j08N67C3qh7IzJPX+/vS26ox9a9pvXihk7qVjMQCJ3U3Vkvdywk/LM7+ToRpLPQJw/BVEblHVR9TE4QZrqrjAJw3dOjQrmKxWBtvEI+NHTv2HgDT42t4DWwhSsNAgtNheJgMmVBUfwBTYZSx6zKZzAAi2iOuQIwB8ICIHKSqFwK4QUSmkbmQtqpVp04iot6dnZ1VMMzEb1T1XRF5CYb0fiaWXH6Zmb33/oD4eqyCOcRuxszdXiNriWglGZZiKSyro3gDmUwGqEuT2WW/A+B33vujRGRdHBgk4ut7vohcJSLTSqVSnpkfAZB8PaX/ECyuP9YRhrQTTSmVSgcFQfD9+Hv6Dho0qLOrq+tgVe3tnHs9FiTqvu/TRSSXzWanZDKZPYlotfd+NzIMCsMqEIMBDAXQV0SWAnifiD4goj/CWBueiLaPr1sGwCXMnAQwhoh+QERPwXxH+sQB4w/UcCbkvc9HUTStqqrqwSAIhjDzaSJyHoB9i8Xiqd3YHZgIVl9VVTFK5onMXEtEm6lqC1lP/1FV3aFQKKwaV+HeG7tOBOrq6fV+GNthNgzAOTqKoompVOo+IvojM28uIocz8yVBEOxPRNWJROJkmP5Lraq2JhKJU4noTiLagYgejLP1p8ScUksAxhHRXGZ+UFU/rq2tHVsCLnuxZ+qJP2UkdeAH8++dl9B7iTkC8Ihz7ggRuRjAZcz8wyAIpnYnAOPGjfugpaVlFEyW/loyZdp3YYBTham9ejU31AsAPEZEIiJpWJXttTggP5aITgQwiJlXwwLiPvE8rYZtuBggG1+bvhVRg5pw1a5qFOgUTDF2C1gQ8GEQBKODINhaVW9RqxiuggWnL5JJ2TsYvihxSjvGbOP/se2cVOCwMn8x0ONWImrv27fvjUEQTA+C4DoAVwP4or29faiI/IyI5hDROu/92WEYNgHIEZEy84lhGB7V1dW1vxpwEyKynRow+AoiYmbeDLZGvMLMU8rl8iNLlixJAwCZJ0tfVZ1BRNfAkokm59w8VX2CTNTsKDI6+59F5HwRGaCqcwE459zhqnoNrDV4paoG3vsXiOimeM4dSFYpmQ5g12Qy+UO1iu0ZiUTi1lrBM0eW6O4b2tw1P+tI3PCXIWPOfWnb/377GbKCTAAAIABJREFU/P/3sUm1RfL5fOicK4pILxE5LQau/UcjDMO5QRCMLRaLvcXcBe8LguCO/+LhfmPE0uFNzLxrt4qbqnKhUHhcVR/L5XL3r//++fPn92fm28nKsaPK5fIh61c11Mq6qwFoEARf8fqfL8z/wdW1eqffQHDJoK5zO7Dn1uLOVtWJaoJcf2Xmo9TEnOpgwcJiWKZ1ePyA9gBwRi6Xey7GhVzjnDvOe387LLCojjftsXHmv1pNFnmdqu4ab/C1iN8MWxCOJ6Ld1CSX3yOzwH5CDcR3OoCnAXwHRumrhal1jlDVMptr42gAOxBRBKBVjTngAdRRjMona7fUwKTTP40z2N5kWgRJmAZDNZnRWa/43AXWdlBYMFuBCQMNizfsSK3K0aVWRcCMtPo/p2Szjdx6/f06bkkS1QD4VMxw60AAZwdBcF8YhlfDqKrHAvh9EAQPL1y4cGSlUpkFYDdV3ZGZ91PV8US0dRwIqPf+w5qamu07OzufgKk5fkJWsl/Y1dU1NZPJPAegNwyoOysGdXrv/fHOuSm5XO7QMAznwjauIQDGOuc+EZGHRORsMrvtrIhMW7Ro0flHHnmkz+fzy5g5A9ukX1PVw5m5Iw7CrgRwCRF9CPNh8TAg4zQRmQzgLSLa+6I66fEFNPv1izTY62PntLtxZJ4cn8Pm73Qi6ikmfLR5KpXaedSoUZ8ClvmWSqVPVPVjVd0WwDQiGhIEwaT4+dk7rhrMUNWtgiA4OZ/P/9g5d75aFatdVd/ocDz68uqo31rCwH84ngifnFVJ/t5FcqyqXtGNNdnQCMNwWzXdjoyIpGBeNxk11pOD+eIsgbWQOmBU6TcBnOu9fy+RSPwQwIUwkG8PMQ2RdlVtVzPlqlbVAbOSOvP+Kt0dX2Nt9VCsu7jduaTiSwDvqOpwIqpXo5iDiD6O5+ybam3K/iLyGRnuZoc4CP8S5qq6jao+r6p7grlSdJr5hLVXAroiVybuT7yVqiqswlIB0EFmTjeQiB7z3s9g5qVVVVVLOjo6Gp1zR2az2TPCMLwd5k68EuZDsg5WcWqBYV8uFZFFAA6HSZaPJKIkM58hImkiGvsi0Tmbc/RuO9C3L3jZCE8DxYT6tiai5TAl2dHxsdyiqncz8xq1KtHPYUnJ3wA8S6aVc7QYTX61Gg16TzIV2X0aGhr+CgCFQuERVa0HcBtMxoDU9D1+i/9FollfH5tMcNHc3NzHe98kIlcQ0TFBEOz+P/m+MAyfZeZLReRmVf1lLpd7/r91rBsb+Xz+2wB2z+VyZ613HFcBaAuC4JKvHd++AK5U1Z/ncrnnwjCcVSqVdpkwYUKl+z2FQuEnavLU31bVg+PN9LgFSexyS8YPxUbGgV16/oFRsh6Gyl8Hy4DXxIvgWjXp5rVkcr4jYbiM1jjjJhGpirOpz2GGSAOdcx/FC85A2KbSbbZEcea2CrZBv69WTh0Rb9btsOwbZLbFj6pJFI+HOZmG3vsnmfk6NfzDEFWdnUgkrqtUKt9h5v1gCzXFWWMLTA0zA+DN+NxWwayaX4NlJsNU9VM2merlqvrHtra2W+rq6l5GbFvNzFeLyIUwZ8yRAL4gohqyAMGJaT50kIFm//psBg++mJI7N3S9FXhz5pAxO8+fP78/GTtkCmyTSQBYpqqPE9GuiUTixCiK7oZt9mvInF+XkqlsriZjlUxW1SVq1aFWGGX4Sxg1+1ewoHAoEaVVdbWIPOycOyC+ptvCMuLdiehMInpZRH4Vbyyfw0CkR6VSqfuDINghnmPbqdGMt/LeX8TME5h5mqr+VkTGkVVSoKpfxoFbk3PuNhG5DlZdXBoEwSVhGJ5LRJ+r6sguYOot1fLWpw57dUG5hwC7lmn1/t4RRGfCStOD43nzCWzDuFFEDguC4GTAqn2pVOp559zmceBbp6qPM/M92Wz2le5rXywWdxBjeKyIKwR3icgVzDwNZiS2+81V4psTuteG7t1uET84WatOGD58eCmfz/eK5882RDSQjIY5Op4z/fB3YHQU/3ttHGBXEdFnAD6G0bN7kLUg3yZTsNybmbeMqw67wQLev8aZ+GQAb6gJ3I0A8Nn5NdEPOpguAjC+RpEa6anl8C7uVWuAwrtyudxdxWJxf+/9ZCI6OH4uu5xzP/Pen8nMX5LhRPZSY/pkYIDUgqr2UtVxZLgjgRkRdorZus8HsIaZxXt/QnxeNbBqwzEAPlfD3WwJC/CdmsR7NYD/Q953BsZRXW0/58zsriRLNraFjcEGDAZL2p2VjQ0BUxLTE3qJqYHQQ+gEggk19F5Cb6GHGgi9GWxTDAYbWzu7cjfGgHuXLGl3557z/Tgj4jiC5H3zfj8I95et3Z2dmZ2Ze+5znhLG991KGMp0u+d5d5AlEndX1e2JaLpYRtBqNRl5G4CALfxs4QyK6PEK6buS6dvCaqBQ+7FtPKav5x9XX1+/vLm5uV8URW8T0ZVENEqtDVQBSxeuzWQy6Xw+vzUZSvdzInqXrMV7EhHNZ0tOPhfAphtssMFmq1evPiAuTHrEC5vtmXmCqp7JzCdnMpmjurpufgzjv0YtEkXR7rAbdgNV/c4VxL87VHWxiDylqkdns9mP//M9/NeDiH4rFrAE4Fti6WbpdPqwzr/FpNXrAQxIJpN7DB48uJM1n1i3sMjlcoGqHhpX3SOZ+VUyV7r7J3ryNoyx3eVYyjoHQMo59xyAr5n552Tqm3YR+URE3vJ9/0AR6R8XHCW1vvIE59xdQRA05fP5RQD2CIIgl8/nx8Qr32YADxHRoc65/Zj5UzVzn3thPg6fqYUxbQ17ELUT0VUicrbv+/s4596DEUNfBXCVqr6oqstXrFjxXG1t7aUwSPn3ALZ3zvUnIo+Z94sfBp+KyO+IaDCZ9fRJjY2Nj8Xn80g1w6TtVbWamQFgnoiAmTcnolNqamqOUtX6uG3QT0SujielVzzPG+acC8h8Bg4RkbGwB+gOItIBIL1/iS9cw1j5iS//4D7qA8VMpDeOs97xEgB35vN5ISNjArbSPwtARRRFBTIJapGZhwCIRGRpuVw+JJVK9XHOPQpzbmyGFWcfwFbfZ8HkjgygLzNDRL6MC649y+XyvkQ0MJa4LgHwV8/z9omi6Bm2lM9uAE4morXJZPJp4O+SuthDJp3P5/fyPO/PqlrrnBvJzD04Ns+CtQR8WFjcn9vb259OpVL3qpmAbQoAyWTyk3K5/BARjaOOjs3P1uTTRDSjnWlWpegvyIiHq2BEyX6womutWlbGAFV9WlVPBIAJEyZUplKpl1T1YxHZDsBWvu//Poqiw9Pp9Lh1z79zroaZfVhx+Zaq1nqeVyMiGwZBMKqpqWn7lYR3vuteCUn6tre1fxyGocI4SvPJiLMEI/VuoqpXeZ73nIjMhBW3C4ioKp6QR7E5lfYi4y3tCCsGnaoOgBXAc0WkOxGNALCmpaVl0169evUsl8tPwIravkS0uYgsIqIvb2hL3CYihxDRHmQ27llVzcEcQ08F8LBzbiSAJ8nQi8HMvMo5dxUR9RURIUPlrmHm4WpJoaNVdXZcdI4AsNY5d2JbW9vLPXr0eJJMNbEyLj56EtGdRHSUqm4F4BI1D40OWHG1AsBXIrKGDN3bFQCYuRz/zv3j4q6biDytZuy20PO8w1V1anwONwCwMRF9par9S4Tahyo1sdZagt+OL1grr+gW+Xe08YBcLneic+68GIUYJiL3VFVVHdXa2lrp+/54IuJ8Pr+MiJaIyH0x+rmfqj7S2tq6cffu3X/pnLvb9/1fl8vl36xatWoybPG0FzN/5vv+rSLSICJT4vN0/XddNz+G8V+DXIRh+Liqptkc8H65vrnK/3BbP4Ox758IguCi/7Od/J7R3Ny8lYjcnslkfgEATU1NOzPzdbEypC3+W4aIHiSip+Ie5rcjl8t9ns1mtwGAuJXzmRqjvwq2MhgAIAegZwej6eJu7sjietApAHQD3BVr+J4E0J+Zb1LVx8mg0ZdVdV+yrICVItLieV5fVb1SzVJ4JyJ6KZ1OH0ZEGobhXAAPZDKZ6/L5/JfM3BZF0UOe55Gq/kpVryPLzkgA2BO2+tqdiDrDl0Ky1sQWZBDtRVVVVa93dHQ8oqrLiShQ1f7xsX0NMy96iogOi1f6o2DkwbGqums2m82EYTgRJuecR9YzHc/mnLiFqu6kqn3iYgmquhpAyfO8T51z/Zj5NwCuUJOgrlXVFXH7akUul9uBLML9PmYuqOrtqnqnqr7Nps0fICLTiOiADxLy/gwP283xdeaQMm25V4kSPcHj1WD7WhgRsycRrYIRLScT0VEi8gERHRT/TAmYSqMCQIeIHEFElzDzm3Ev+1NVzZKNO+OV17GwHvE2sMKjG4C/wDxLfsnMO6vqycy8v6reoqpDVfVxmPGYl81muwGWEAngbRGp831/c+fcjmTBbFsQUUFEhsMg6AUwMlz/eJW5Gta7f4AsYjtDRsT9RSKRGF0ul58DMCAIgk0BIJ/P3wJgH7WI7iQsYj6vplQYG18XTcz8iIj4qvpEfO1cD2AEEb2kqn0AXEBEpKp3qGqhs7XY1NS0ved5VwFYoaoXiojE/JhpqjqUme8F8FNVrTinRgZF0G85WOuOuoiW/LaNcsz8eEdHx/PJZHIEgDPIEJs70un0q2RW2C8RUS0RrRGRRiIK44K9p6rS9CTr6wmn33gqFYri5kKfH9vOQ5Oi88jkot2I6A9EtHUmkzkjvufnEtHT8fXRi4g+j1uRf1Vr5Q1S1dGe5w1S1SliyqrNoyg61PO8a7p163ZgW1vbBDVEaQPY82A1gNVRFB3p+/7paoZ5R8HUUe/HhQZ8398uiqJngiAYkc/nP2HmnboKh8zlcg8T0dGqehMR7aGql2az2ddnzZrVva2trTcz94ZJd8vM/IVzjpj5SJhV/E9hBckG+DviI4hN3kSEmDlSVcklgAcq3HcF0umNrd6qCkUrDIG9mYgmFwqF6XV1dUOI6I9EtIOq3iEinxDR+US0LTMvUNX7EonE44MHD14Wq48eic/T3QDujgvkT2DP1wkA+jrnvvY8b1QQBF2iXT+W8d9UXHwpIs8ycxAEwd7/wXYOAjCamS+LYdaT/g938ztHPp+/Q1XfCoLg1Vh//SyAfYIgWKzGnTgTwCgROb4r064wDCcz8zHxxH0STKXxGBHtphaa1QTrc28VBMHiO2bkPv9rSjJYZxVKquUTix43RjxOTaevZImJd8Pc8c5Q1TcBnAKbTDqYebd0Ov1pPp+/VVWPgyEONzHzaSKyipmnq+rBFRUV/ReU2sfnfCzrJRRsofR1tdNjisXiwlQqNSleufWEOSl+uGbNmmNHjBjRHvNQ/qYG828NY89XwAoKX0RWeZ63FYBlMZGznoh6x5PnQwBGquoIGAegO0wxsJZMBbBARLox8/gYMdlCTarYQkQPAfgdrLVznnPuPM/zBsLumdcAPKmqv/E8b5KYrv55Vb3S87xHReQmVX2JzMa6efXq1S/16NHjc42VKWQ97jdEZEM2G++1RPSKiHzCzAsA/NE59yYzj4BB6t1gD7R2InochvAsIqILVXWnuPgTildtIjKWzMlxaUw0XEtEtzDzDFU9JT53PWAtqvkwRCOpquOy2eyRANDU1HQ+mxOqDwtpC4hoO5i195mw1tZzZJbS4wqFwjf19fV3wFCFNWTBVAfDkJQXVXVHVa1hk4ffkc/ni2xR8vVxoXYigIvUorKPFZHTmXkizNehFtZ+ep8s0+EaVV2pBkG/qKpvMPMcz/PmRVH0JhGtLZfL+zPzDfE5vBnAnsy8LUySfFlcwJ2XyWSaOq//QqGwkRo5tx7WsrgVwPAbq3TDr3ztss2aEX705FbsAKCSmfvCiMXnNTQ0/A0wHlU6nb7ZOXcEMzer6nBYAVlDRAsBJCYmtPqJCum2/ra3jIDT2/jZBPPPPc/bu1wu/wTAqmw2+3B8z+dE5BlmvghWuL1aUVFxbkdHxxQiikRkJQDELcMD1dxxBzHzzvHvt4KMoxPBFA8D4nPdAzZRdl53q5m5VkScqvYRkdFDhgx5PAzDG8jQljOCIBi+/v6HYdhXjZuBuLXyewCjYMXCOdOmTZtXV1e3GYBLiWh/VZ1IJmdPE9FTIjLE9/1ezrkcgJ7MfGNHR8eYRCLRiy05t7eqDmTmIeN9d9CzKemz/j50jj06sOv+Ze9OZr48Lu72VNV6MqK273ne35xz/WEcpGsymcxz+Xy+P4CD1ZxW1wKoYOYHVq9e/WpNTc0bMHRyo3wCq55OuQUO2KpW4DVGPHG3Iu7OZrP/iajgBz/+K9Qizc3NW8EscROq+sz/dju5XO50AKdWVFTs0d7e/j7WUYz8/xzTp0+vUdVdpk2b9kacrvosgOODIFgchmHffD7/KoAtmHnk+oXFlClTNsjlcicDGOycu15VNycjPm4KI0e9Q0RTgyDYSc2a+mYA+GkRH57czpdu6fi1bMQdu5ap7Q9t/tSghK/Ueu7fqGpRVaeqZU0MhLHJb4PlZHTAeqMXhWH4Nhlp8hK19sg+ahHMw4koIcD0k/zWCy/vJkP/mpJ9Hqh0m15a5YafVe32SCaTpxPRJgBcnFHxBYDu3bt3/yyfz99XX1//LhFlyPr25znn9lBLjkwBGMjMRVVdrqqbM/OJZFbFq2Cr21+JyHwA98YruSKAVwEsB3CEmgdFFQw5WaZG4mshotlsOvlvROQJAHd4ntcAI46ugFkHf0lEw5xz28Fs1w8E8LqqfhIEwVee5/2GiE5W1UU9evR4RFXnE5Ejoo3i4qKOiLYUkUWqusA5d12pVHoB5gdRz8wHwB7w2wdBUAXgCBgc3DtGB65U1W3jwgIwL4ZlamZiOxHR8Pj8/LGqqqqViPpnMpnRsGJiEyKaGE8Mq1T1I1i7ZMdcLre7WrvkQyJay8weGfO+GRaE9RGsxXQOgP6pVOqZZDK5uL6+/i9EtKalpeVIWO98G9gENl1NdtqNrH+dCcPwPTXi6BhYcfu+qt4uIgMBvC8io+I+/rWq+hdV/QKW8nkgM3+ipmLoHa/YXwVwgnPu+SiKfgvgUhF53Pf9vzLzCDXJ8VqYFPIOEbkZwI1BEOyxbmExadKkhHNufxHpD0NJKgEcTUS3Hlv2WrrZsfzD2ECw5sh2WgCgzMyviMgNqtoeRdEjuVxuVRiGzfX19XNF5BA2ZclsWHuqkmLjOVV97/WkdLninuMDBR/bABhbX18/gSwzaXLn60RUxcyjiGgVEamIaEdHx4ci8oyq9k4mkwfDnFjPB7A3M+/IzCNVtVJNSjtRjYw8MZPJ7A3gTrU2pQ/zcXg4k8kMZ+YbRaQOsceM53njACCKomtUdbSqzl9/38eOHesDeBrA72P30hBWFArML2JyQ0PDYma+C5bXUQRwWrFY3IGIlhKRxAXNaufcEc65vVX19IqKil82NjZ+EQTBpEwm81YQBPc6597dUKi9q3MYj7U/L3uXkaXi/hLmNfIkm9z8IQALnHPDydRiMwGcnc/nJwK4WlUrmPk2Zr4bQNY5d3FNTc3Lqrqpqj4wNqnJ+ypc/9WE7VoJPed56P5SSvY4u7vs9D3786MY/xXIRS6XO52IRgNYEEXRnkOHDl31P/l8jAxcBmAQMx/fCe/lcrnPgyAYRv8Ll8//yYj3P1UsFv+USqVeZea70un0yzGKcimAc9Y11FJVbm5uHqFG5tpWTa61L6yXu5Gqnr5s2bK/jhw5MopX/h8nEokDy+XyUap6FRHliKiPGhnuGQCHA0gGQTAsl8sFZA6Q3TzPu6GhoWF0LpfbHcZnmEjmejkMwM9g8PinRHQNET0MoCqZTJ5cLBbPh9kJz1LV2veTWny+QrsikOoZbd6SwUIXqOqFsECqwfr3docAGAfr26dhK3A/fph9qaqHAFjBzFPVrHoZQLMhpvIQLBDqEFXtBVtZDlLVRlV9QI3PsYwsQGtlDItuRtYDXk3Wkvkc9oA8D0Z2rIRB9B2qGhLRKwAuVNUbgiC4Ml7pjCOi+1U1raqHk1lcL/M87woRuSiKoh0TicTOqnoFgNfj360vMzsR+SZGNA7OZrNB50kKw7AvWVjU2SKSZeaHReRt3/crnHO3wiy7I7X00VpYOygRn8PuME6Mz8zvO+cGe543R63tsSqRSOxWLpdfA7AREc3pRG9gPgzTAWwLQ3umEVExXv3WquppMRH056paDeCpbDZ7f3w9LyGTOTaRGXhdCGsNVRDRfBF52vO8S9T4EqvUbNqPjr+XyYi7k7PZ7Olx4do3nU4PKRQK74jIzmQy0uNgKcA/UevrT1DVT7LZ7PXxOXtcVY9m5jViBOM5InJ6Y2Pju+tfhGEYHqYG2wuZOdM5RPRLtZZFfyKaP5/x6F9S0b4R0U8TRNQ30sJRZX+QF7nXfN9/U0R+okYIZRjxMQFg1/h+nE/GZekV/z5LgyDYOpfLrSgxrT2v2vXv4t4AAOxT8pbv1aGHZ7PZMWEYTi4Wi9sPHz68HLc+34uv8ZWqOkCt9XFIMplsdM49BuAJADsDWKgWb95fzSSukoi+ojh9FcBviejnInIQTAW1KH7/PAAXEtEFIrKDc26Q53kvdLZfgW8N/zYJgmDPzr/FKdF3wbwgVqqlEwcAXlFTqSwUkV8z836qem7cDqnPZrN1kyZNSqRSqcUAwMy3iUh9EARHAMCsWbNSHR0dT6rqZ9ls9vowDLcEcBcRfRkRTby5onz3Vx5S65/DHco858gOqiail4jo3nQ6PSVOZ/0DEe0I4ID1DQunT59e45xrUNVARNLM/AsRqSaTqjcQ0QLHPPh33coJZ0jq+sOxh83eGzDkm+/6bf/bx39FcRGG4Xg1aLkYBMFB//oTfx9jx471a2tr7wHQlslkzqF1PCzCMHwZwGn/v6VEYRh+ysx7i8jVRDRjzZo199XU1FwHYBNmPjmdTq8AgKlTp27CzEcDOJKZF8Yr1n4wvsIuRLRCVUc756Z5njecrBc+DMBuMGvmybAeeyUznw9gZCaTGR2G4duwifNQNde7qwG8DAvgegEmJZsRoxfnqeoHzDzaOfclM88iC0Cap6pbeZ7XoKq7wBwLXwMw4Ooq138h6+ZdHXt/R+/9fi0NIjJPCSKaDWCBWvzzCNhkPktVo2w2++0DLAzD+hjBeB3Ab+PVfnciukRVdxeRrclY4L1hrZpPstnsAfl8fj8RuQkAx+dwHpmj6DnM/KyI7AegXVU3WJngMWWRdC8ndybI60dEz8EUJZ2hUsuJ6D010tdCWNHRQuYTcp1YdPpg59ylzLwNM7+ZTqef/+KLLyra2tr2FZFLAGyp5h7piOhTAJeq6oXMfIuawmcnAG2q+i6AMfFKb9GaNWuO6N69+1gRSVIcjuWcu8jzvNdh6onj0un0xDAMX4ShDWeSGSIlmNmPV5AR/s67KcE8Dz5SQ0QGk4UyLYvPYTOA29TkyE8S0YepVOrKYrH4sqrODIJgDyLSqVOnHu953n1ENFctf+Z1IhoCoN4594Tv+1eLWbd3Evv6ENFsVT3L87z3ReQdWFvFUzMt2gjAkiAItp00aVJVKpWaDZPVriVrXf0cZgE/r7Mgmz59ek2pVFoMSyPV+Dceq+Z2eVM6nX4VAOXz+VNgxXsCwL3MvFhEegdBcHnMu3pBVduZeVUmk0k3NTVdxcynwAq2j8i8OrYkontF5J2ampoPO831mpqatiei26IoOjiZTD4Oc2utiIvWT2GqnLQylc+tdhXfFdt8eNGTEUWtLZVKxVQq9U6cZIswDA8GcAuMJLuJ53kC4CwRScNMq5oBLHLO3eB53slqqpWNyMimw5s9jeb4SklQahOHDzIR9VTVAll0fD1ZW6UvM/dTI1SWfd+/2jkXdCpyYqnvtarayXNKw5wpV8Xn6FJmLjQ0NDQXCoUTRKRfNpu9MgzDswAcICKHi0jJ9/2pMDXNKABnwHxWfBF51fO8p9Pp9Jud5+PZZ5/16urq7idLd02IyFme51Wq6m2tHnX/W1I2m+QLOQApINqlxIv3K1HRlaNhQ4YMWV0oFPYFcL6qzoMVsq9lMpmnvuP0A/h28flZsVjcraKi4ng10m30hY8tb6l0/9QO+vZzRPuP36zxle/b9n/z+MEXF/HKfAFshfvXIAie/Xc/29TU1I2ZnyGi9zOZzA3rv57P568lovHrXtz/1yNGBUaR5QY0wCSD96rq/dls9v5Zs2al2tvb9yeiE2Cr52UwLfZ7zPwczNXup7FS4EvYJBEB+FxVPyQjYb3RudqIvTGmqeofiGjPIAgOCcPwA1V9O67iS6q6N4BhbL4HN8IKj/0AvCkix/m+P0dV/6CqG6gR9arIOA4fwoqX+5l5tJoxU88Lqt2SNsKAro7fU33jtlb/Ks/zvnDO3SUitzY2Nn4AfJtMeSIRXQBgYxHZtrGxMQ8A+Xx+P5jr6KVhGN6lqqeSRSHPzWQy+zU1NW0cpz96MMnrYjUr4qnJZPL0Uqn0N+fcYYlEYqBz7i0yImeeiLae5umMF1Ju2EK2+6MKVNqhhLcPLHIdbPXZi0yqt5AtE2RjGL9hl2w2214oFMZFUfSc7/ujy+Xygb7vP0bWTrlODZbtNP95DpYOOkZNirtFvK9g5qedc28lk8k36+rqvg1RmzFjxialUulzMs3+Pap6djx5ihr59hEYhP92sVg8obKy8hcislN8bWVVdSZZ62gRLBSrj5qPyGpYcdQNBltXk8HjNwI4nKwX3ppMJncuFovHxYXbCUT0elyAlFR1IZsfSi0RvRI/hBcBOIeIDieiZSJyPf7OOXBEtFZEZjDze926dbu8tbX1PTXL5mwul9s2Jln2JKK7oyi6w/f9M1T1RFWtYuY2tZj4V5j5MBG5yPO8R0RkQry6bCezgJ8LoFQqla5NJpMXquoezNxNRFYz88WZTObR+F78xPO8A51z+wM43vf9S0TkecRJmPF9tQxADTPv3NDK0Jx5AAAgAElEQVTQ0Nzc3Lyfc+7wbDZ7ZC6X6+l5XlpEdieTE3+mRkgdAiO3dogpgIjMNrsMYNI9VbpNsyf/tPplQC5ppRW1yqsBXANgeBAEv433dQwzbxUjJLXxPj7ped4kVf1ZFEXPeZ73IIAxsDbQhDAMn2oh/fCJSvyp2ZN/aIkPKdOC4zr49Wwmc3IYhneweT/8Glb8FdTarV+JSKfV9lbxvdUrvqZWiMgpiURiY+fcU1EU7b4ughyjDp9WV1f/JDbe21tEro+i6Czf968CUBEXfx8D6AsjWc+bPn16Y2dSLfAt0f0WGIdqnojc4nne42LSbwdgSwekWkjba7zEcC+K/szMpzvntoKhMHk2i4EEEd2XTqd/Sl0g05MmTUpUVVVtrKoDROQAWJtoNoADyFrGm89j+eTmbjpy/c9++/sJ9npviyFvf9fr/+3jB19cxKzvV1R1gYiMaGxsXPvvfC6GFf+qqg9ks9m/dPWeMAyPBtA3CIKbu3r9fztGzm/aH6KHCqj3iAiDdm7HowPAuzPzqyJyEDMfB5tkThKRg2EFQ5GInieiyfGkPgxG0NyAmZeJyE9839+xrq6uQOs5iK6rJImP66oYoVgYBMHwMAwnkRlIbQnj4cxX1ReCILg/n883MXMPEekH4MHOh1u83QDAVTFCMhPAUFXdN5vNjsnn8/eJyBhmfuy+CueHfte2xD5w55jNh3Sy37cgoicymcxO6x5DLpfbIm59tKr5ejycy+XOZQuvWiki55MpT1bGSMJEMknqWjWb4Eo1xcIaZq5R1SWqOhM2sT/HJtN9TFW3Wk66wzXdpKLUxZ1xTAcvH15CExmfYT6AW9Vg3adFZH8i6kdEr4vIGCL6M4CHyciMz6mx/R9h5icbGho++vjjjyuqq6t3ZObdRWRfMmMoqLlWToIRGe8MguDB9X/PfD7/iaoOAnASEZ1MRFuIyBoAjxPRpWptnvdU9QBYy2SgGn/mvRgd6QVgRBAEI8MwfB7WmlmrqszMkYj0JjNV2hgWtlUHYHNV3ZiZFYZkkapeoGZodiKs+FtIRFji0cZTE/ry4AjbbSr8dfdu3Q5qaWl5iKzVwETU6vv+C+VyeRuYN8NyNmv3nqq6gIg4k8nsHnu5HA2bmN9X1dNgniS7ApgIYAdV9aIoGkREA33ff52I1paB7p7qWjLianOxWDyloqLiBhE5DObDwCKSJ1Nv3JVOp58oFAp7APi1muvlpmReCgFsEltAZlI1E+YrMgpG9m2AFYQj1TwXZpJ5dezinLvU87wKIjpdzdZ9kIjc5fv+ELF03pKqTiaiXVYQ3L2VrmLhOtqtBEgPaseqnSN+hojqYOTbucx8ZhRFvyOik2GGWh+o6qFEtNz3/ZHlcvkF2LPjNbX23vLq6ur7Wlpa9iOiC95KypBXU9pltJbHOPxPLYkXiWiXKIpeJqJU/LzZCtZi88gUK681NDRMIyIJw/BjEdmdmd+JzdceidtPn6+//dju+8tOQmqsvnhbzZ20mpmv+cKXdlV6qIdCegu9nclkDoyfAT2Z+TpV3djzvNMbGhq+zOfzV6jqufHnVxNRfxix9SVVPYKZ349/l0EAPvQ877qGhoaF8b68TUR/FjPY2oKZt4iv934ws7wEzD11roj8zPf9Z5xzR8f3/bZE9LFj/ut5VeXLytC+6x+rAmuijor+H62zMPixjR98cRGbTB0AYGIQBL/6dz7T1NQ0kJmfZ+aLvg+VKBQKQ0XkjCAIjv+/2t+fzZvyAEAnrvu3pKJ0eoeX38LR22pmRsfBoOgyDKZeGj9gNieiKar6ETNPrqqqmlQqlaqLxeKHzFzIZDKHdPWdYRhODoJg2DrHlXTOfQHAU9UtmfkbAFcBOBOmGhgF4DfM/JYaMW9fWATxHFX95fqk0jAMc6o6KF4pLiOiPUTkDLKWxa05X5P3p6J60D9ebh4QndHuPXNgfXB0599yudwtRPR5EARPrPcdj4rI1zEsPVlVv2TmT4uqp3zoR+/0hndmFXDDVhEdACADawENhln4PqcmUz4yiqLuzHwBzIhpgKqmYr7DX4howOsp3e2NpHRJdB7gsOb8tfxHIrpcRMaxBaT9IW4x7UVmO3yHqo6GQfUryOzCJ8UFx2mq+jwR7QublMao6iuVlZUfdHR0vCEiZzLzx7Ci5yy2RNGdAFzc2ROOw8BeJpN9bhLv2nLYhNhNVTclomWw5NClceFVocZv+BLA8EQisXO5XH4hiqKTfN9/EcBm1dXVDWvXrv2jqg5Wk+RuTRb5zTE6tUBE7mTmW9XacUtitGoJmVlURSuh6vEKp83+3yXOfZRWnNzG1FdQBZMVvqCq+xDRZbBI8y8BzGLmg0XEJ7OEX55IJNLlcvkUVd2YiFZ3msg1NTUdzsz3q6ljusPsyeuJaNlET8rvVmDwIlJOEbBVRKsPKXsf1zrUqupcVd2ODKE6tVgsvp1KpX5GRBeo6tD43LWpasjMq2LU5Ss1uH9rmHlV5+SVEJGbyciNzatXr15YXV09hkxi+yiAswEcBlMTTFHVM4kop6oj2NxK/wjgeCJa43ne6SJymSM9qMlXLIByFagURLSoVtAPVjA2qpGNe8JaG60AWjKZzGbh9OnZxVFp8kqG21DwTW+lYrFY3CWZTDrnXGMymXxWRJYR0YciUndLtY6Yx10XF70d3r28zatSM8mrZebPnHNvZrPZa8IwfJaIDiGijxKJxEGDBw9eptYumBQEwbAwDPcholtF5NrO4mH9EaOmr2Uyme2ISGfMmFFbLpdD51yx6FHTg5W66QxPsxQLDbaMEO1YolOHR7SaiC4mopszmcxjgCG+RPQMzDF4SXzPMBHNVNUNYWjXEABviMhnnuf1i4uHXrBnWTUzj4d5iMxl5oUisiCZTM6sq6trGTt2rN+7d+9GskTbXwNY2/keEXmfmT8CcPe7Cfn4xQr9NVkbqHN0QOm4cQMbn+7qPPxYxg++uMjn8zNUdamqXpPNZl//V++PCYuPiJko/VN1ve6IDZbeC4JgxP/Fvv503uc7EHhCV6/1Vpp5eSsPUCMaLoGRGWfCmPmflsvlSesHlqkqFQqFFwGMB1CXyWRO6Wrb6xcX8d9GAXhCVXPMXJtKpbLt7e1fAvgyCIKh+Xw+DzNpmkZEOzPzmap6iVq2wGnZbPZ9ACgUCruq6n2qOgdGAOyn5ofxIYB7Yez49mdSbmyYoHNWkyYBoEpp/q9LXkt9SZcBuD0IghcBU7/4vj9ORHZcF4UKw/BCAHNE5DNmflVVt56WwJL7zGqqkxCn20S06lcdXspXhaomiSgXBMGw2InxhoqKiqPa29t3gClpDsPfZa1fAxj6RKUmJvpdFxesWHxbCyeJqAdsQi/GiM88Mlnc9gCqmLlDzQbcc84lASyEFTlePJk+A1tBF8UiqAFgB8/zNhaRbPz/Faq62vO8p0TkcDKL65sAXElEj8EmsEUw34rpZKmy28WT8QNBEPweAGbPnt2nvb19Lsx0qpqIbg+C4PYwDE+Ioe7jYDLaFdls9oowDCfEq/cBsDbRJwAOUtU+MTmyOxmp9n0AN3ied5OIdBeRsXdV45CZnv6T8mFDJbloLY/xFGnP896KomiU53m/EZHzyNJ4708mkwujKLpcVY+Mt98KYAaMIPtFJpN5EADy+fyxqvpbNWJgCganlz9J4au/JN2g9QvYCsWSK1vomxQo53neZFXNxCt9iMh0AIsBbMzM26pdM0LmllklIm+SWVEvFpEFnuedz5aAKbCcjLVqLSUQUQOAXxLReFVtJCP+5QH8BrYKnhdP2p8x8zA1UnIe5snRBpPaDoE9k8swPgCLCJG1jwhASURWElFfAB2LGMv+UimbfLFOsZApU+uviry4G2gDNet5UdVFzFwLYOHVVS6zkP85QA8AMhEVT2nnibC2xNVEdK6qetOmTRs6ePDgXzLzo2pchbXOuYOTyaQ45+6IbeJ/o6oXq+rena3LrkYYhg+qGZ4VmflOADWZTGbQiXNzU+Z4ml3//b0U7Re38LKU5x1KRF9FUXQMER0NWxgIGbl3N7XAPI6fnzWwFt9amIHbOao6J5lMLnTOLRORCYlEYv9Om/jOkcvltgCwe4wmDoqLq82I6FUiOgbAFUR0moiMJyPAntzY2Dhjt7lh3x0jeTdM0ryV6ib57D02ZrN/zID6MY4ftENnU1NTt7hKVc/zxvyr9xcKhV2dczd5nndYEASz/tX7Bw4c2BGGYaXGWQ3/6f6S8k+/q5xbTjpQGLez0Mci8mljY+PX/2p7+Xz+DLV+8ucw6el3ji6OYTwAxCu25e3t7dcw8+dq5EINw7BCVScz817MvGM6nW7O5/OtAG4AcEsul7uViNpE5NxisbhLRUXFBFXNBUFwWKFQ2EnNLyAb3+wLjoyS95Tby++s9PhJH1TdQzED0Boi2kxVr5kyZcqUoUOHzhs6dOiqMAwfIqJzAVy5zv5PA5BtbGx8dvbs2SOXFDu+frAy6iP/eA3T5772pJSbfmw7DQLQwczvhWF4uYgMA1Df0dHxBhH9VVWfALBP/LmJajHkhSrFIPzjKuTv59AY9i1qVsS1cTsqADBQROaSOY2eJCIVMBt0j4i+gcnw6gAsJZPd1qrqShHpBSMsAtbeOQrWO19CRKuZ2VPVO4holVow2guqKqp6NpmyYeN4Et4qnvAGx5PQoWEY7qqqyfb29g3JIP46GMfiN2EYngiLYK+HTWYjmLkuDMO9YFD/8njiriSiQ0SkGBdGVUT0uapmmfmnqrqziEREtLyVaZ9ZXteSyqWkXPC0Z6NjiqJoX7b01jthq856IjqgVCqtjo8JcQGbIlPwbKeq34RheA4AiMhmAIiZK0VEmHkGEQ16P+G2XL+wAIAOQp8pCfTcvow6Nd8NhU24KSIaCiPL9lIjqk5k5g1FZCgzf+z7/tfx+a5k5o0BtDjnJpFxk36uJmMEEUVkpm7LVXUogGtFZGMAx5GpR8YDCMicU6vUZMxnqOpNqnqdmicKweS2STUL7B7xdTOczIVyUyKazMx1qrowglbcUyUbrqB/NMLLJ7T6TnYLzl2jw4cOHTovDMN6Zp4YFwVbbeRQXMjosrjYRKgMYASs2H88l8tlAGTr6+v3F5EBMOTpZgDn+r7/OoB7mLm5UCgMEZFjPc87XESuAbB/V9sHAM/zbnPOPUNEK4noZhEZstfiXGXR07quHo0rCJXNCV3TGMmHajLrFWo8EyKiv4nIImbupaoTmHkkmT/GTkR0cxRFzycSiTyArbLZ7LMAkMvlziGiF+rq6hbMmDGjtlgsjoyLiR2J6AtVfaVcLv9+6NCh86ZPn15DRONE5BDn3MWe5/0JhlzptGnTdu3kgty0Oqr0fX/JFVsH+37Xcf8Yxw/a54KI9oj/Oa4rd7h1Rz6fP0RE/qiqezc0NPzLwmKd7/hy2rRp3ztx/ztj6tSpm/QR+qfe3LpfdVXDtNFBELzw7xQWTU1NGQBH1dTU/AFGqPw+rklx9uzZyc7/TJkyZXNVfYOInlezGO4NoF4s6rg2l8sNg3k67MPMp6XT6WYAyGQyb6nqGbAb+yIAN1VUVOwzfPjwhSIyXtXCptLp9Icwu+AymUNofRRFl69YsWJ8LfitHookGbHqBBHJAdjM87w3O5M0ly1bdg8R7Tt9+vRvg6JUdRoR1U+YMKGyo6Pj+U/ZrSh/R3EcJnQAM5eYuZsa72BauVy+WE3FIkQ0noyj0R0mudyMiI4josxPypQiRZeF5MFFpFV1k3hFpCLSEm+vBzNvDuAc2Erai88fVHVDZq5g5vfJXCuViM4motOYeSfYynV3ItoFJrXtDssp2EtEdom31Rvmf9HGzPOIqDesfdUHBgmXiWgzMv8MxCvhNWRZKt3iFXo7mZR0Y7ZUzZnx77gE5kUxI57APidDYfJElBSR1nifFKba6UtEH8TExDWq+qWq1rZ61PP7qu+1hA1VdT4zl2LyXQjzEVkWH3cE41x0PpNSqop4ct40LkL7kSVZipqKI1LVfiJSWkz6nSjsFz4tBHCsiIz0fb9/uVzeWkSuVNUSLONiZhAEtUEQ7CMizUR0pqq+JyJ7qOrC6urq62KJ63Tf96+IUYcGAFsEQfAggH1FBGTeIO2qemJcRLbAeBFbkPlmvArgPlV9S1Wv8zzvXGZezszXAXgKJsstx7/5AhG5gUxi3EfNgG2AqlaoatVUDx+uIFR2dbzzPQxalEpsn8vl3gWQE5EqACs8z7tu54j+msI/X9/VgtKOJUxQ1ckA9s/n8/f5vn83EfUnotPJeFUtnudVqAUadqjqZWSI2kOqelQ6nf6QiDrCMNx36tSpmzQ1NQ3O5XLDcrnc7rlc7sAwDE8VkadhqJiq6s1EdMwfVnpzyVRhXY4lHhWZeVdmPlEs9M0lEomDAFzNzCfAru0PVHW1Ws5HIpPJ3LvNNtss9TzvaFU9v7m5ORNn95xKRL1zudwnpVLpdWYeJiLPlUqloUEQ7JfNZu8fOnToPAAolUonOue+JqIPPc+7lUxBc0w2m71+XZKp7/tnA7jju/b/xzp+0MUF7IGxWlW/V0oUhuFZqnpyIpH4RWNj45L/yReoaiGKovS/fuc/jkKhUB2G4b5hGN4ehuEkz/MeGuaw7Lve31vx9ZUzst9XfHw7YpXLw6p67MCBAzs8z+sGs8z+rmNob21trYz3q8H3/Zc8zztVLRHwGyIaEEPUGzJzKzPfS8Yf+DqdTv8D2TVuh3wKa39M6OjouHXSpEkJInoJ5iYJABCRBUT0Ppmh1wQAI2praz8D0J8sxvkEADXZbPYAAKcQ0YBkMjmnqalpt5EjR0YAriyXy98iFytWrJijqlvW1NQ8KSKvLU3Q0u863hLQzUGhFjq2OYBbk8nktcx8BZns9BmYBBFE1EJEvWAupLSJw58PKdGn3RTfkigZ0B0jmrdLkVpg8uBe9lHqKSKrYT4CtQAmqepBzNwZcvcEGcFvRxHZRlXr1Tg1n8AmihFs2R3TYMZNrAZl30JEtzLzjUEQdGfmYbDWx6uqOi2RSDSo6g2wFfgHIjKDjODnVFU6OjqGxtbD8wAc4Zw7BJZCO0Mt5ZGIaLqqtonI+CAIjolXfb2Z+Uy7ZHQP59w2ZOFrRVX9mMz18zlV3UUtabQ7zBn1zz0Ea78P29tAaRas1ZAiotZ4Ar+bmV8DcFMQBGkAr7GZPP06/j2eEzNBWx6jQT2JSNXSbStUNaWmOqGq7+nwqrWiDgJQKpfLVyUSifeY+RgyK/3HAPj5fP7EfD5/CIBuQRDcEwTB5YlEYhdVrWhtbf0kfoZ09zxvKRG1qeqjRHRKPp9vhkm2x4nIYFjY2BoAGWZeCKC/mlFZLo4SGE1EB5KpjS4RkX7OuUuCINguNhWL4uurNzP/hkxmnCQzydpIVRcTUU2R/n6vrT8IYILeAeMeXYjY68I5t8PWjvf83Vrvi00dZgJYTMA3QyJaem6790pPpVWx+dtcVd3MOTdWLb9lMDOPIDPOO9vzvOsBLBSRalU9hYg2JaJn8/n8lBi5ecbzvLHM/A4RvUVELxDR0wDuEjPjqozPWS8AfrWgCGsFdTleSrnR8YJlOJmx25RSqfQ0gDfI+Dh1sEXCAsSpxWEY7gYAURTNIaKCc+4Tz/OaAXwpIp+USqW9giDYLpPJjM5ms2PWzWWKrxmCqaG2EJGjVXVNc3NzYzabnb7u+2bNmtUdwM+mTZv28ndegD/S8YMuLohohOd5NH369A+7el1VKQzDywEMKxaL+9b9L5i7atrvf1lcPPvss15cpV8QhuE7zrn3iWgnVX2lurp6pyAI9r5g68arqevAsNZfdlC+XC7PCsPwrkKh8J1VPPCtne/dnRe6mnzwO5ELIupIJpMV+Xx+WxF5XERGpdPpiao6W0REVeF53rFE9K6ItKil+80VkX9Ag9QIXDcTUYWI7A0gTUTfpFKpV51za5m5JZ/Pbxvv42pY7/Y2ADOIqE8URQc551JqMHS7c+6+MAz3CILgcRiE3B3AH8IwHCci7aq6cYyiYOTIkRFZONNkIspXRvLFdx1vCrSUFUXf97cTkd3UiHrFbt26HZPJZHYnollElFDVG9RkoL3jSWZBJpM57fTBjdsfGyWCk9uo8Jt2cle0sh7WRs1M9BpZa2QRTMHTQtZjJ5h8M0XmEbKjmO12uqWlpV5V31fzOHg3hlbnACir+ThsRUQnxtdKOS52NnTOvSMi++ZyucA59xgR/SoIgiNE5PY4h2MfAFd7nrcHmzmYQ+xbMXz48HJTU9M2APoFQfBaIpEYzcxXxcVj7bJly3aDMd4rYQofUvPq+Mg5dwuAhb7vRzG35SYyBGsztR7378haNn0AvENEP/E87+Qq0bKHrov8AQ7lwY42hrVZeqtqtXPufGaeH6+qe8UF6k7lcrkHjENzBIBGMgVAdyJSZu7MlWAAzTHc/zWAYqbc9fVPgNu5iA2JaE+2tMqlsH78hYlE4o+qOpyZh6jqHqr6gO/7Z3Z+tq6uriWbzV4fI0xg5j1LpdJhai0qB6AAU7v4ROQR0c+J6CQ1Jc/XarbzTQDmAugWhmErTPUxKy54VhDRL5j5yXgBsjeATmVTlXNuGEz2vASG0jEz91VV6qP4J7vwzsEg6anUSkRjyRQxhwPYW1V/ISJV/QRLzm/zBvxpDS/5U4u3wQntHG0o2BWGcp0L4CsADczcBEsU3jDep6a4oFxFREUyZC5S1Z4wmfOWMJRN49+sXS1sLoqvzxcAXKyq15Ll87QAeDQleu1WjuZ0dSy9hIojZYMPwjC8SFWPVNVFItIRF8EbquryMAwHAPiZmnX/SiK6hYiezOVyc9n8Zp6AGcGVMpnMntls9rn1+Wvrj1wudzCZgqsCwNqampqR66IVnaOjo+NkAA919dqPffxgCZ2FQmEj59xcz/PuT6fTZ3fxelJVH1bVZZlM5mz6X3Im8vl8o4ick81mf73+a+sSgNT88AsiMiaZTL66Plno26FKl84K75njyYhvPFoBlalI8E3j+jd+PWXKlM0TicSzIrK1mH//vV0c16GqOiqTyYzq/FsYhqcSUbmT9Lb+CMPweWZ+QUTOBnBIpynYlClTNvd9v0CWEtibmX8dQ5x+IpEYEEXRA8650UOGDJk5duxYf8MNN3wAwOLYRhpNTU3bENGDqvogEf3W87wFqvpNJpM5Li4KHmbmszKZzNgwDN+EJUROJqJhsJV6VbwiHZ3NZv8ShuFlRHQWMx/onDuRiOpUNRkEwZAwDP+glnq5OzPvv1S148Zqd3Mb4Z/6/Ad0UHm3En2RzWYHx8d/laoOJqINRORPzPy3eCKfB5PSplX1SJjXw0Mw9ZEHcyvcLX4wLlLVNiJ6FJag6cg8Inqram/P834lIg+QwdhbwSaXz5m5hoi+EUup/EZEesACw64gogcBPBkEwQtTp07d2vf9B1U1Q0RriOilmCeyrVr8+2dqplSFeNvPe563RERWMHNZVdvVbLaJiG5Q1e1F5Azn3OJEIvHmsmXLftK7d+83iWh+EATHh2H4cXwOGmA+FCcR0fEiUlDV24hoN2a+mIiaYhLdWbBicS6APmr8CyWi1TDflRsu7NVxfUvJvwGWPeMDQF1Eyw9vw6LexNerkU2vhC1qRI3d72DS1tXxpP2smj31SURUIouGdwDGOudmMfOhzOw751qZuSwiA4lodYfnFa6tLHVfydTYeR34QHRokdfuWKJi/D01apLgCUR0QxRF2wNYnM1m7ygUCm+rJW6OiKLoyPb29sW9evXq6ZzrCWvX9BSRG8lcZ3/OzKSqiHv+fWEE368ADFrDRAmgpsraaysBVIglgDqyvJmpqtrheV5JRDrzYPoS0aUwySfi9pFPRE7Mk4EAgKwlVAaTXlvpUgv4n9tBQ8q09sSi9wCA90SkPUa+zlfVahEZ1NjY+HUYhg8B2EVEbmXmoz3PO7ZUKvVn5qEUJ6US0bYwRHSD+DcrAvBVdSpbrPpQZn6KiDJqviJlGKo5R1X3VNXfMvPxsLbXeBE5SM2t82WY5X5CLdJ9/krWj55P6iU5X3qv86D+6Pw2b+mmDmtVdRQR5Zj52HQ6XQjD8HwAiSiKmjzPu4WIBsb7RwBuiqJoXCKRuAzAXzKZzANhGI6HKaX2raurG7v+OVt3xM6fIZm/h6rqCdlsNlz/fbGh12ee5+2STqdbv2+bP8bxgy0u8vn872HWy3sEQTBp3dcKhUK1iDwDYGwQBDf9J98Tm7+MC4Jgh0KhUO2c256I9oNp7Rep6hgAY7LZ7OR/salvRxiGb0dRdHJnb2/9kc/nj1HVWwAsY+bD0+n01PhzAwC8WCwWd1u38g7D8DxVXfA9fh3jVbUmiqK9ttlmm2/bCfl8/m8ikiWi+TAi13IygueiTCZTl8/nzyCito6OjidTqdRzAN5b3/MjJnM9RkRPqurvASwql8s/S6VSPcTkmiPS6fT8MAx/pmarvKNa6NbDZPBxL1W9GMDYKIqO8TzvYWbOpNPprcMwHAjgNSKqhsGwY4joQ2b+OYC135Acf1s3/aodug0AJBXChMtuaPF+R0aMnCMi+69cuXJxbW3tuyKyjJn3hRUOU+OV1ZGqeicz7xVPtrPjSW6CWBDayWRW1rOZ+SJV/b2qHq+qr8H4EitU9UUAhxLROJhb6Eoicqq6ATOnRGQ2TCUwl8zN9LK4oLkUwF2qekQ2m50ehuHtIvIGWyLnSgAdRLSpiJzteV6zc64BwBae5+0mFvi1Op7YugN4Q1X3hamMisw8JZ1O7xKG4W2q+lE2m30ul8udBOC8ZDI5vFQqzWbmw9VcV2+EeSicLCIfMvMqEbmKiEYC2AzWUvkJgJSIFJg5gHke3C8iJ5C5Kc5IJBL7NjQ0fPlg8+ebbST+eymmmzZy6JRdDyaihWqmUgor5OaqkWMBQ3I6iw2CtQLmqGq/Dcb4540AACAASURBVDbYoM+AAQPa8/n8FSJyNIBfE9FNMGl2rZqD5DMA7p/t49UFPlVUiOqmDg/3J/9+ACXn3GkAtlfVJiI6lEyR0pkCWh3v05r4+3up6ny1iPE1sCKzqKqHkDlcbquqSkZKnKmqM0TkiKYk0QtJl1wZ48GbOtKDOvDVIOFNVHUhWTDfOBhi0aGqVbBwsG1geS8sIuW4kFgFk56WAVSQKVj6qKFkX6jqI7NI3dtVuHSGp52W17p9mcqHlLzmlJNrSqXS35LJ5ChYEGMvNZv2J+IC9iewgqGzaHAwsuJiMgLpTFVdQ6YmaoWZWkXM3F0NLepF1vK8NL4mNgZwh6ouLZfLv/B9//YYyVkIa529lkgkXiyXy5uSKS8OBtCaTCaHtbW1rfV9fxyAI1aSPndZt+i0ygQvvHZ1oo6cu4dMnnx9EAQXx8+zEar6NBlvZ3Nm/lxEjiIjZM4PgmAkYM/u9vb2J+LftEVEZjLz+cVicfPOpOl1h8amfQB+R+ZZ87iqhkEQ/NMiDwDy+fzhIjI0m81e0NXrP/bxgy0umpqaPmfmjTOZTL91UYkwDPsCeJGI/pTJZP4jnXGn1hnAy0SUh0F940VkjOd57/8rEmlXo1AobCQiTwdB8LPve9+ECRMqq6urbyNzNvyoVCqdmEgknlLV0dls9uN13xuG4WWqOjWbzb60/nZi6d7VzHxEOp3+oPPv46blj3g9KaPnkmxRIkr2Fyru34GaAfAuUpP53aOqRVhSZR8AjwVB8Oeu9jUMw3qYf8E3zDwIwNhSqfT7ZDI5u7m5udeoUaNcbLM+Gea1sCuA8wFkgyA4dfr06TXlcvk9AP2I6EnYgyeXyWQOyeVyBxLRk0T0POyh/jEs72IFEfXIZDJDd/t6Yu+z11Q+XRvhllQUfZlMJj/u6OjYNJVKvQizEr5CVXdQ1b3p7zK1K4jorHhlXAUzNZoJ4JR1C8VCobCTiLwAYEFLS8sONTU13WGtrY8AXA6LsV8E0873g5kBrVq6dOmmI0eOjAqFwm4i8pKaXHVzNX7F88w8W1VPJ6JlqjowVtw8H5NcDwKwmarux8zTRWRP59yFURQ9NHz48LZcLveuiJw6ZMiQmbG5UD5SrRGm6oToSthKE2TtGwYwWkTyURTNTyQS80TkVCK6Yfr06ZsAQF1d3TJm/lhVh6jqhvEK+x3YpLMDbOK/Xi3t9o5y+f+x995RVlZX//hn73PLDAwdC4oIKAJz73Op9hp7jy1YEktiiTWWGFvsMRpb7DFqYqLGhlFssYKIGmyIzH3unaEoip0iCFNvOXt//9hnyIhDYvL+/njz/jxrsVhrbnvKec7Z5VMqzznnngWwiIg2JFNsTIkIkymHLiOizUTkZlg2fz4RTVLVyc65koiMhjEPPiWiYSKySlXXY2aGldA/hYH+PBF9IiJXOefehynXfgErr/cjM4YbBAsMlsLK5HDOrRKR3jD65xIiGg6TdI9DNYTVWhZ9YKwZDriVHrCgplZE+jOzqHlxtIbjGgwL+BIistQ5d4P3fj8AExsTmrqjhybWLI+mFHJqK/1+OFwjgH3DHJuAANAFMIKZm8nokrcAmKaBKqsGOE3C1ul5zDzVe3+qcy4T2Fu/UdWjFjv87QNGW7aih/VUzAuYjSEhmAAMRFyGBQkr1dxpHxaR44joQCKaDmCE976eiDJEVB/ONU3mDbKDiDzF5qaahLmDPiAiK6IoOrvLs/J9EbkbBpLtCOe3rfe+g5l/FNaytwC8AOBYVX1LjTmzLxE9kM1mH83n8y8z8yNqDsvvq+peIYD/RagQbwFjW00homujKPo4juOnYD4ulwHYTw34fFYmkynOnDmztnfv3h+p6hPZbPaEYrH4OoAVwaht9QhCfXeq+QkdpaqPENGwbDa7H62l6h3H8avM/MNMJvMN47bvxn9xcBHHcTsz39G1JRIUHh8BcH4URf+R7OoarY4RRPSWqo6tVConjB8/vuFffsG/Pu7TyVoYv/s2729sbBxRrVYfCqXK12tra/ceMWJEaY1jvhrAi7lcbuoafz+XmbeGGVk9kM1m/w4AD8ybN/CJZPtHi/nraHMH6E/befboKl0LYJRz7k7v/Xuq+oN/pSEyZ86cPZxzDwI4lIgeFZFLiejyKIo6FzgUCoXJqtqTmft774mIBkRRNAJYXWL8AxGtQ0Qbqtle/wnAFgCeU9Vlqvqec+4OEVkXwE3M3JrNZi8uFouHiMheURQdWygUHlfVZBRF+4TfPENVr4YFD45MtvorWLb6sqpmnHNvee8/Zeb6bDa785rnFnrlk4loMZna51Fh4VwfJpo0UVU/CKXZGMAOZNiJvTKZzEf5fH4Cm0aAI6IEEV2nqruotU+WweShP1LVRBRFY+fPnz+gXC4vcs5tX19fP7tYLJ7vvd+ViNaB9fA3DIBN7PD+uyPWJ35sGWtGAFpfSPYp06oJkti+Wq2+SQbCmwEr2w+FGc6VyMyj/kAGrr0B1u4YAwso2mDeFAvC32pg2fvgkLX2guEiOhkd78MksVeIObMeR0Q3JpPJH7a3t++QSCR+AQOw1oXsnWBslXkA9g1VBA8LRNaBbfBJDSMEL4ABAZeoKU8mQ7DWSlZtIzLQ4+IQJNQxc7OISDj/l9UYJh0wTYkrVfVFIjpRVe8moq2I6J1qtXr92LFj50+ePNnV19f/WlV3gQVr68BaPRVY6yIBq3R8pKob3Fzrey9IdM942KXMqw4oURuAxwG8zMybiMhJ4XzOFJFKMHKrhwUAtaGKsxxW2WAxN9cdmHmL8FpLmMMc5nMtERVEZDYM/JuFAToHwDA+26nqnUR0kqpe45z7iRrrKaWGQ5mr1nJb6Jxr7FTgbGhoyDLzHeG4xqlReOeF56mGiC4FsBuA7xFRLCIbheCkFJ6rEWT4ij+q6v1jxoxpjeP4NJiGzqPMPAvAZDYr9GMB/DIEtn8XkevCNeilZkPwLDMPVNUfR1F0GADk8/kfMvNpYS6+A9PWAYwyO0dVvwz3vL+qblgqlc5Mp9PvE9HPstnsPWq4vOPJ7BVOEZFD2fybPkulUnuMHDmyWxB+oVDYFsDJ2Wz2h929/t34LwV0NjQ0dJb07ur8WxzHE4noMWY+9t8JLBoaGtbN5/M/KBQKd+Tz+dlstDBUKpVzoigal81mf6qqLySTyW69Mf6D8QNVffTbvjnQZs+E6dqPKpVK84IAVtfRk4x+CGA1kPUaIsosXbr0EFVtFZHVgcRH1PGXNQMLAPAAvZDUCLaA7uu9f5KI3kkkEv+SuktWHn4TwG8AvMDMB8F6ql3n2N9UdYj3vsU5tyuA/nEcXwkAkyZN8kEJda6q5gFcr6onwkryfySioxKJxAZqvf4mGPp/rziODxWR85n5F0HSfSKAewGgoaFhFzXhLw7XqFYNm3BNtVrdDMCAkBUNIqJ2Edm4oaGhJ2BBZqFQOKpQKNyhVoreU1UPqFar09RMyoqqOhfArGw2O46MKtkGYK9kMnk0gBYRmRrH8aUtLS2NAP4gIs+r0eXOE5F3SqXStsx8GRmYdBQzZxsbG2+oVCo3AXjTez8ozIGryWihR8BwDwPiOH7y8bkNh5Cj15awZiUkCl+w8t010ncWVf9GZuv9CVkpf7yq3qmqs1Q14b2/BaYSenO4Np1YhRJs09oWwJHh92ao6sOqWmDmx4noIhiAeDkzvw9TouwfKhLbw2Sw96lUKsudc5PVZLQ3YuZatWpYgkxx9gAAEJEKTA1zJhFNg4Fjm2GVi5eI6BYimg2rUHwR/h8KoCIiH8I8PN6GgWx7q+rtAFaG6oWo6p9V9TXnXKOIfOa9HwVjFoxR1aeJaG+YL07FOTcljuPG+vr6pwAcTkRDAAwjo/X2UAMHt5GpoC4P17DPcv663kTX8bnTspqs+Uo1oakfw+TL31TVu5xz98F0UARWGRAySnE/WPWAiOjogN95iojUe/9bVV0Mk6P+gJl3ymazm0dRdGI4ptFEtC4RPavmi+IBnAIDxJ4F4IVyuTxJRFZks9ktoyg6KpfLXZ3L5R7JZDKrLQScczvCWikvEVErEdVWgXUrTOsQ0QZEdA8RORE5QlVHMPOLzPwnIuopIrvBArP9c7ncnV1E8fYTkaeIaBMyPZX1RaRBVfdQ86nZXVWvZ+ZZyWRydHj+36ytrS2o6hXe+58D5r5KROeo6lci8jaAHDPngx37Tqq6gIjOV1Xf2Nj4SwCzUqnUH4noRyJyaz6fn1AoFJ5n5uE1NTU7MLNn5oNCInPu2gILAFBr8d60tte/G/+lIlrMfJqqtmUymSKwehO5logOzmQy3aKOO0doN3R6OuxEJgf8NxG5M4qik2gNH4fwe0Uxt8Gn/yfHHcfxJkS0KpvNLv62n8nn8/2I6LfJZHLPlpaW1nQ6fT0R3RDH8RkAToyiKE/G/W8FrAJQKBR+D3N5PZqItFAotCPYAsdxnLuXpH5tv/exU8C4+D0BnMzMG4vI7rAsdq2DTXOg7Jw7SESeCZlopVAoPDJr1qwjJ06c2FYul59JJpPXAfgok8m0xHF8HxHVx3H8h1KpdBIZIOzsfD5/MTOfToZPOJ6Z/wrLsC4josVh0RjivZ/ERvsUVd1WVaMAbtw9juPbAfRVK5FeKCJjYAqKXwC4KJFIzKtWq8cmk8mX1GiW+8PK/C/HcZwmo2r+Xc2E7Ss1w7GWAODbOJVK7Vgqla4BsFuhUCip6vRyuXxuKpV6t1Kp/DiciwNQ6dWr10wANzLzDjCzsZNU1aXT6Rne+2uiKDq7sbHxbhGZKSKHkimALiWiW/P5fOmdd96ZkU6nzySiG1W1fxRF4+I4zsxI0kUEXXfNe6EAXk7poLEVtLP5K3xPVW8Lm8p4WGXgt+HtjogqIQCrwoKUTpEiJyLrk5lwKQD13u8cAtlesFYBYJthDRlNtCIiCVhw8BAzJ8jaCGPVQM+VMDdUrWXRwcyDYRWc0aq6iaq2hOu3AYAdYRlzkoha1CzQ+6uxF8g5NwxWAeCQiS+B+X44mFkdE9FfWwizX0xUSktruGaY52ETKyj29RgA4AVVnUtEh6i1rF5W1f2JaCu1SouoagOsCrAyVM5OEfNfcQEjUSULiAZ192wM9OhLRH1UdTgZI4oAbEpWbq+qeY8kYAyY33jvY1iFCrCgYC6ZK/E4Zj5ezV/jgs5nTEQeAHBEPp//dRzHE8jaWkpEt3jvZ8Ky+k0AjBWRa5l5S1WtSyaTtxNRtbGxcQ8Aa7NB2JGIblLV7RZDNny0VpPzErqxACDVxr7Kl/yqPXEaG3OnEQYSvdM590vv/Xlhzj0KYDsAmDVrVh9YMLsJET0eAveDyQzwnk8kEp9Wq9VHiOjZbDZ7EADk8/kXAewWlHUfGDt27KdqzLU7iegMVb0nVAbrO1vVZEKAY4PfyejRo0e/SkS/gCnfngMLgF8Tkd3HjBnz6oIFC9Ii8ns1WfAns9nsWkUZ33333aEABmQymbfW9p7vxn9hcLH7Fw09sRR7E9FTwGpzsRMrlcrXwIqdQw2kMw7ArkS0K4ANwqSamkqlfv1t6KkiUgzZzf9oENHh+i80ObqO8ADdzcyXd2GfHBdAlHcT0TNxHL9KRLVE1BoYMn9R1cYoii7t8j0dagh8LhQKt7zv5Pk1/U26HGQrgIFEVCHzyRAA6TiOL1bVCiy7K4nIchigdRkRrSRTKdzEe789M18nIr8n0wP4ezqdnhrH8YFRFC2O49jhHyI+r6vqEgCt6XT6qQULFkxauXJlO6zP/1cAETO/pKpbEtGqcA41MMnmJ5l5YyJaSMYwuJWINlLb7XYCkBCRy+bNm3fFyJEjB7DRHi+Fuck+qKoPJhKJ5WJ6HDvAstLHiWivKIq+JkNcKBRGwNozixOJxIMAPho5cuSyOI6fhpmXDU2lUjsCyBHRG1EUHRdadFfCxMR+RUSbq3kbnKOqTzJzKZVK7VWpVM4uFounee+fYuaniOhAZj5eRM5SY1cck06nrwPwPhGNANDU2Ni4DTP3W0ayztrmzlLWJLPbTFVH2m2lO79+m6lTGrqqpr2xbsAY9FDVT1U1BrATM68kohetu4AMGX6hEwcgasZwKwHMU9WNRWSgc+4TNbGxEURU9d6PJGPmODXMQZOa9HgmzNdjnHNXALjMObeF9/6XIZC6QVXfqFar7yWTyTtUtczMLSLypXPuqpUrV95eV1e3LRH9haxl1AYTlFulJv2+DhF1vJnGvY8m/ZHthCQgiB3wXIq27qN61CPDxj4MAPl8PiaiO8i0PL4M8+hlNQzKGDLsQW8ROQEm+JQPwUIvIqrsWKbUozXfbM0TgM0rpLC1ti8RlUVkKREtUtXJ3vu/JpPJkSJyMYApmUzmEcDavmqYiTZYJWkKER3kvb81gDM5ZP1PE9GHZPTqwQAeV9WxzHxAfX39onw+vyMRHQLzBzqWTMNCmPl6EZkvIr9k5vsKhcL0kGBNIyIN/kv7q+qeqjqshWnwVXW+rWo4FQCAEtUvJ50ck2/JgJ4k80C5K5fLPRLecnlDQ8MCZr4njuMpzrnfici5apWsqQBmEtHZqvorVb3QOfe+975ARD6bzR7S+TvlcnlGOp2+kojKpVJpu/BMnqiqC0ql0msBPN5ORF2xUuNEZOOxY+3+NjY23u+9v56ZWUT6O+fWEZHmaiKxx46LGvreW2o7fUgSlQll8mlzYV7rcM6dDqv4fTf+yfivwFz8QCe7pYs2OwOWkQzqoUBS9Q/ndCQX9KrKtuVy+fCu6N/GxsZB1Wp1u04AEBEtEJGpqvrMt1G/XHMEo69XcrncVv+T84jjeFZNTc3OI0aMWPUt33+aqg7P5XJnrvmamq/Ikap6Kaz3fyuszPtoLpf72kYScAdfwkBwA3/WQ6YKy4zufnPzKq08qp0TsEV6eXB3PENEDmfmDURkEBFtAGAjIhqh5kORDFnregAaVLWVmccS0Xpi9tdJmKjQh2oaAFUYW6MjbH6PweTLNyfDADQCeCgsQj8BMLjCPH9yyt+/kddL1ld2mwl/RKqDRaQjZLmLRKTKzGNhvgznZrPZG8P5T1MTrLpTRLZQ1RQzDxGRfmT94zMAPAJDy78Os6hezUAqFosZVf21GghwGYD2KIomBCDqcjVMyuNxHJ+kqpLL5e7ocu3PUdVJahbhb6rqBFXdiEwr4rdiglabAjgsHM+HsAV8PplhVh+1kvpyVa1Xw200A1j+SI32fiXZfYDRX6jlsla+nYhyIrJluJ+VMHcKRDSUiPoQ0UMiMhjADqpaYebjstnsQyE4uhEWjI9U846ZSUQ7he/oC+CYKIpeyOfz/WDOklkAJ6mB7kAGSlwMczX9QlU3UKskXauqpxGRiMj6zNwXwFxm3ru+vv7zOI7frKur27G1tfUVVR2khqsYqKaL0BcAlcvlTSdOnLgsPCd5IuqlBjyeEubjdqraIcB6l/f0Pb/svgG87OpmeqIH+LAwJ+cD2CT8xnwYvmMMm6dKfyLqGeY5hYpGJ6vj+SrRq9fUVnZa7PhggbUC0wocUna6VRkE00RREblURCaPHTv2086DCM60S8nYDx+LyERmPletWlNVYzE9BxPkSqvq6QCmkuF3zkqn07d3dHQ8CMNW7CYiB44ZM+aDfD6/F4xqXUtEN6jqrtls9vBCobCVqp6ay+WOCAnMbDbdiNNUdTs1IOkiGGg5B2DFnT01FbOs2Y7tHNNeHjp211mzZvWoqam5WFWjarV6inNuACypO0aN2tqmqlUAbxPRa51mdMVicU9VPRDA5gEU3JpMJvfsmvjFcbwMwAlRFD0W5ubDzc3NO/Tp0ycSkWcAXA3g807DwziOXwJwRhRF+c7vyOfzP2DmX6uxi95YyPK9v/SkwcvoH94saeCTEtNeLw/p3h9lwYIFvTs6Ol5pamqa8J22xT8f/xWVi6WLNrsaFlgAANoIANFxt9XK+8d/+OWo/v37p/P5/K7MvCuAbbz3JQBTQyR+Iv0PfUEymUw5n8+nJk+e7P7TCRWqDe9/28AiyHv/qFevXjt293o4p3uLxeLT3vtGIjoFBtpbseZ7Q1S/PoBDe/bsud3vSqX+93HHkr+nsA66BJjrCyquVJ3IXPORiCxU1YHMfKGq9iGiR5n5ISJ6ur6+/q41r2kcx+up6hMAfhWCkA1DNpmBWVYvEpFhquqdc15VXxazCR/FzHGlUpmeSCTqAGypRu+doKo5IlrnQ6fy55pK9kvGb95IAoDHYO83Pa7DVQaaRfjbzLwFM/cjUzR8FMBxhULhYlUth03nWe/9U7169To3eMacTuaIWQvgSmZeqdbvjVT1ZFhQAwBYsmTJvIEDB46D6TGUAPQqFovbVSqVHdT8DraK43gsEf0AwAdxHO8LoxHWWAKMYSHzHR8CM4GxS86FKYW+AGBvZn5DVfuR0R4/UNX7iOiKUGXYVI258BlZib3v+Iq2vJrsRssZwMQqAcAZqvo0gF1zudw7+Xz+FSLalswt8iuYEdwu+Ie/SRuAw+I4vgDWIpqtqqOq1eoE59wf1aS+64hoBTM/IyJ9AaBXr17tzc3Nw1X1EFUFM89S1XFq6o7rqOrzzPwWzAl0kKpeDqt+LCfTcahh5j8UCoUlM2fOrAUwoLW19QX8A+uQBJCqVCqHp9Ppp7z3t6XT6RcLhcLzPXr0uKG1tXUYGfX3XlUt5nK5W+fMmbO7c+7IhoRf8CXjsu6eIQADP2EcvZlAYGvhhLCZrwQwLFyXhQvg15lfQ8kOSGmgoLhtmXJsgk1zyYT8sgmRky9oS2y13NHyD9n3S4N5aFW1p6IkIm8wc52ITCei2mQy2Tefz29DJs43gYh2UNWSiGxGRK8C2Np7fwszd5rTQQ10eb+q7kLmBtoMMzK7slQq7S8i0wLO6eAxY8Z0zsHzmfkcETlPRA7r1avXPmRt35lxHF/z7rvvjm1sbNyUiCre+4fINDweDUHUtgB+HPAwX30F/WeiU6MAoEePHn3E5NO3SCQSTTCRsekw3M+6ar5F/QCkmpqaruj8cCaTeS6O44dUdXltbe3o9vb26733Y2A4GMRxfGCYj2m1SvRdzHzqNtts0x7H8S5qoM3Nq9VqJ1V1EoC5nYFFsVhcX1V/D6PZjieicgX+rDt7YP82+rpDbAkYDNGHoBqhm33jO9Gsbz/+11cudlpSrENbZRlM1vUb45RWfmSU0Iaq+hKAqc651/8Tiui/GiG7ODeKon+K6VjbCIyO13O53OP/6r3BjXW6qv54TbnZNUdjY+Mg7/18Vb2CTbfAw9DwZ3UKvwQ66pkAflFXV/dqS0vLVBE5/8xeWhLGfpt62iHrqW77Dn0lRbwkiqKr4jg+UFXvZ+ZjVXVrWK9+o5BB1wJ4S1WfSqVSz40aNap55syZtb169XoxiqLtwvm+QUR9VfV+ItqPiH5VU1Mzp729vRGmNHi49359mJxwXlUjNVrhF+F3PgcwqCKy9LLeMuQrfBMwlwDNuqGZbwJwk6r2J6Kyqi5j5k4L5oqq7kpmOT4fQBubGVgClqF+CKuYKEKZH1byZphjJcN+N6VEw6cnZMnMtK6zjNT1VPpqxzLxziV0OGAGM9+nqtcw8+HOuSUtLS1LOyWFw7V5iZlPrq+vb2hsbNzXe/9nGKWvFcAHsKCmAOuPV8kogUURaQKQJ6IfqeENOsgkkCfV19fPvnB+w1NvpLB7FbqaqTC+yuUfdfCvkqoHNjc3b7fNNtu0h3vydyKaUFWl19NINjltr0JLGc99t+nQZUnmBIAXOpH4ABDH8bVE9E46nZ7S0dFxLawyETPz7WrS6nWwvvxzqnpXyLb/AmAzVV0Vrmfqc4eGv6W0ptlh3fWr2ifj6b4xVY5gANAKmbfIVwDWhQGK7xWR/Zg5DWu/fCgiNc65z7PZ7N6hmngMEV0NYxO8UFtbe1ipVHoFZuW+FRH95N2k5v+Y9ket7fn5aTu3ZatUE37jPSKaG4K5bQH0fzTl6eWUfm2XGSKkJ7dxcx2oLlQvAFjAr/9wVk2o6qdkrZlmNVBlp+DbqlCNKTFzrzBPe8DYMo6svTefiMZrGGRtysUA1hPzZqkha0VytVpFACMuFRENAWAPMoxKTxiwuhlGSUW4RykyM7oOhNaLGs23FlblSqOL38djaalMT3XvprqOovXiFrcEJj+/AMB7ZIydg2Dr9r1q+Jrj1dx1WwP75QtmVlU9JlTYnoOxsnYOz8GzsCrUZWqgzp3CNapR1XsAQFWvZebFRDRMVX+YSCSSlUrlz865k733X6nq94joGOfcld77NzqP+ebebuh7qExb27wgQnb6xmOLXf82efJkN3r06Hdqamp2+LZJ4v+fx//+4OKjhixEv6GO1jmSKke8OGz8t8Yx/KejUChcRkTvZDKZf1tDvrP0WFNTs9WaNNLuRj6fv5Osd9+trkSX9w0nwxv0yuVyI4OWxCmqelLYhN4sl8sXJpPJM4loz2w2Oz6O47uJ6PVsNnuXWmvlKjWK1k+am5t14MCBL6rqr3O53NRCoTBfzRFyfxE5q7m5+YS6urp9iehoVd2YmT8JpfxmMkDWUVEUjQOAOI7fZeZ53vsRsNLok2oI8F8CGAng4Uwmc0KhUDgLBoTb3nt/SyKR2F5Vd4Nt+l/Mc1pzaw8ZsLZrcFkzV/uDXKhYrBMW0SYy+tsGRJSD0TxryfQL5gNYSWb+9TRMiGkXAKtEJAkAZLK/rao6mZn7isjuU2qRnJ78puvnxAq1HN3BLbDWzn4Arg/Z9goyo6MBqrqucy4jIgeSiXSl1OiU42CLLzNzFcA2mUzmXQCYPXv2BolE4m02Ea7ezLyUiPZV1UhEfklE3jl3VbVavXaVo57zHLQM6bGxcOsQoZkw0aAdmfldEXmajPVwdgdQuamnJD9ZQ9kxATSeU0mfPKijej8s2Dk3iqKZQTfm6Ww2u2Ucx0cBuDUEAithmglnRVE0rVAoD2wLPgAAIABJREFUDCaiC2GgzBgWnJ2gqg2FFB12d41PVbusNwySQzpQ3r7CFVgQtzxc+9+qVZqmA3iUDHC9TFX7w0DJr8IUSjuIaGuY/LaQuYkugzFG5hLRChHZq4Po03N7+aHaTXKigJzfnrhxw6puRUTtAMaJeZ8kALTFTpff2UM26W7e7VAmnVR2nYDMJCw4Wc7MNWql/14AmgBAVaeRedoMIqLDYdoaj4RnZx8AM1V1ByKaD2BTGHW8TVXHkkmdt8GqN61E9JyIKDMfrqZuOUVEDhaRp5xzD4vI5sz8vWQyeXa5XK4F8JD3/mfMvCER7QFj2XxB1pKcqKodIYBLhSCmqsaoImbu7b2/j4imvJPAfvf2kJ90VyXbvEIzjmynO0OwM15EDiCixSLymHNugKoeraZWu7eIvEmmMzIOwB1ENB7A5t773zrnjgNwq5o53jaq+giA/cm8aOao6vHhWjxIJowFAKeoAUk3CGvQeAAVZn4v4L88EeXDPVk9nkn5Rc+k9GysZSjTDjOGjHm169/iOD5UVcd/J5r17cb/eioqk36jzN91HFFyJxUKhcvfe++9b6Dm/78cqtrJGPm3Rz6f3w7AO98msAjmSf3+VWARpLenwMr3rYD5b0RRdFMqldoZJu40NpVKTYfJMc/I5/NnqWpbNpu9a/LkyS6O4ztUtTabzR49ceLESjAMO4yIrp07d+4GInIcTBVwOIBom222ac/lco9EUbRvIpHYXVWfg23CpIaPGJ7P52cXCoUbyPrLS8jAnpuUSqV9yYSC+nvvZ6jqmEKh8CSAHdV6yKlEIrE1TEhrEICnmPm9T1j/KSK7xa3u4/ZF8NYAsGWgwUVqltmtMD+HmWT6CNuG+zldDTS4DGY4dSIZXTCG6QvspqqDPyL5yYyUdFs5m5XUnssJNURUR6YpcZiY4+adAX1+HhEdJiJZGFJ9BGxz6StmypUAsMh7zyLyehzHCxsaGu5MpVJTwkLfETJQrlarI51zf1PVv6rqCBG5h4g+Xi9Vs+Wxo6Le25ZJhwgtUdVNiagQApltycSFziYi/V2Nv3/NwAJ24eqvT5Z2AfBetVq9CMDpnbokRPRGsVi8lplvDtnuTDWQ8AfpdHpOsVi8CsBjIjI1m83uoKqLVfVzVb3Uk9If0n5VdY1ERqA8pQbpdkIaQMk5dw6As2HeE71gqqFQ64/3VauWfUEmgjUQwPdDwFGGtQJbwr8BZG2Gdmb+vCfz8TtW+FN0M3Yok9+wqluTgSyHquosZm4O96Q6L4kN1zbvGhNKqspi8t2tau2vvmqsmxKsBD9AVV8hog/VKmpvq+qlZCyTwc65dwE8mEwmj2fm94joSiJ6KIqi+qampi3J8DcVNX8OeO+jbDZ7BCy4AhkmanNVPSmw3+qJaFsR+UO1Wv2hqj7MzDWJROJ3zHw2gNEwPE9WA5aErF15QagAvaOq84joTjJq+Rth7qy7uXCv/Ur8RcLYKzZUMb5CrYe3U5WZkzCwcq2q7hpF0Y5jxoy5KZvNXlxXVzeSiIaEY+6TzWZ3IKJLiehkAFvU1dVtMnbs2ItgLLVPnXNnAxARmUJE2tTUtHdHR8eF4W8nR1H0i2w2e55apewLZn5CVf9MRJeoqhORW8JafXw2m900k8kctHTp0iOI6OYQiAzaosq7r+3eKiCJKs/v5qVTnXO3re1z342vj//1mIuXNhr76U4fNrwO6NZrvpZSrMxVaEuFZtvb28+O47hVVV8lot//pyJaaxtsdNT9/8PPHi4i/7K6EsfxRmpS2N8Qcuo6AgL8RmY+OJPJvBfH8dcSisAsOaqhoWEXshL1VwCOJqIvmHlsF1ncYldWCQAERseZ1Wr13i+//HLPAQMGrISZj82J43iTzrZQfX395wBuAnBTsVisF5FJsPk013tf45yrBTBJDYx4TZ8+fQ5oa2s7xjnX6JyrVTNAYjKxnxWwkuoQAJlqtZobN27cAlWleF7htq7r2deuK6D9RKcw81Misl8ikbi7o6OjKZFI9CKiA2Eb1CIyBcIVatLTaZhF814AfsDM7WFBHAVgT9iP9QkZ82AAG7cm3bGifm06BvQpa7K/xyA1SfA7nHML19aaKxQK16vqF1EUXZvP5+8EsESAsbNStOg99pX1lTfNVunYdUU/IKIHVXU7AFtYUkn3VqvVRKgceDUmz/COjo5p+Xy+PbR8hsCAiLsz8xsisjlMVXKWiCz7JKHD11aw3KCKM4noUefcuCiKDm1oaDiJiDoBuY7M4fUamDvljQAeLJfLjQDOy2azF1CgcRNRnaq25HK5qU805U8U0m5BpxUoLWBZlfPcS0R+A9N9qBLRcSEQrAPwIszUbiURnQGrjBzPzH9V1f1gwUVVDehYQ+bfMpRMy4CJaPpBHdQ61LOfltLqckKqv0K3LZNsU+UyoDk1vZJ7AOwfApZVRFRTJV1r8tVK6AjX9SWYYuxrRDSUme/y3p8Kay/UiMjNY8eO/dpGVSwWnyOi2d770aq61+eff75kwIABFSK6gJn3AYBMJjPKe/8WgI1DsL2CmdsaGhoOCdehrKq9mblOVU+AJYrnkwm9XRcqMCJG8/kEph/zViKReLpQKDRMmjTJNzQ0DCai1wFMEpEvAaxXqVQ2TyQSNxLRADJjuztUdaqIXH3WyNyknT+es+GAKvbZtkxnJQW3fc+7E5V0Z1Ud4Zzbob6+ftGa16qlpWV/Mhn1aQDGxHH8oHNuWmjvVFtbWy8EcKqI/I6Zn66vr7+nUChoIpG4nYh+PmnSJB/H8eWqOp2ZN+783hBIeTVvnxmqejOAdufcgSKyK4B++Xz+hADs30QNI9MTQL+BQq0jq/TxvIR+Q7+IoHdPGx59TS6gUChsKyIff6fG+e3H//q2CADs/FG8iZfqYwRaTREkwifHt/H7Oc+zYVK3u8L67O+HDWtdIvpYRKao6vX/rtX6mmPWrFnJdDr9WhRFW/47nwutiln/Cl0c3jcVwAVRFM1c2/sCUOuSZDL5/U56aj6fn53L5cav+d58Ph8B+L1z7tNQkp8GIBE2/3uy2exda36mcxQKhQvDppsgouMAvA3gkSiK/vhPju0dZj5dVS9Q1bEAFpKxBPZAkCAO4L12AFCj2n0AYJj3/gjn3IUAJq2JazlkYUN+GWu05u/tWGE5pINEVe8DsFUURdnODa5QKCxS1VK1Wt09kUicCWArIrpNVbcHMDmKoheLxeIQEfm5qh7LzL9V8464WEQGMPP5MF+N9z8jGX5lT1nrRnNmu+sYVlEP4CMytcr3YYqX7wNYWFdX98GwYcM6gNX3+QUAM4gouyBBjzyaqjzwSRcRJlWt7Fam+d8vu03J2ju9YV4pD5GJSl0BoM573+ycEyLKB2CmquprMAzDzrDWTE9VnQXTGWi6ucaPXpBEt73zDT2WnNfmkjCvkhVkFMfHAFS8978hoqXBl+QVmHy3J2vLHayqN5PhAIYAOFjNl6LmQwau61Fda8XvhA7XEVVAsOz/cyIaDeBzWIadJKKXRGQvInqGzAtmKwBzYLoT/WEg2zNEZFMiqnHOzfLeX0RE66gJdpUBvElEG8LoxlvBqlufqOoqZm7x3g93zg0M174tXEc3M4Wah2qk2zVykKf3L2jjHiGY+R2AJDOPEtMp6U9G6a6FyY63AHiGiN4Qkc9gnirbE9EfnXMHwZQkn/Pe/4mIHoWJYB1BZvBXH6pFqqqzyRhaSTJw4/vMPCJs0hTmyKdkrIwpIlJyzhWiKJrc9diDYuwJasylkqq+QFZ1O5GsslcRkfedcxd0p+UQGBONMObU4yISM/O9sHbja9KF0trY2DjCe/+gmhrqHBGZzsxNAPoy86GJRKJQLpdfUdXXoyg6sFAo3KWqDxLRLwF8GUXRIfl8fgIRXV8qlY5Np9M3RFG0PwAEgbvvwZ61WQDOIKLbAPQN7aH3RGQqM3+uqj9Q1c2Y+Xfe+yVEdF6Veej9ab+4kNAxJaugLVPg5nVbk1c/skZyEMwfr81kMm+ubS5/N74+/iuCCwDYSacndNGA3Yh0M1L9uC5Vfe7JQRPaC4XCJaqaqVarZ6dSqUtDNvOV9/5aZk6S2Q2PIQP7zQRwSzabfZH+AwZJHMfvNDU1bfHvIIXz+fzeAHbrjk7adRQKhctVtSOKoiv/ye//CMBPE4nEAaNHj/4SWI3nmBVF0YSu71VVLhaLLxPR2SJyJyybdQDGh+xmRrlcvrA7bZAun39aDSh7mKoOIaJXoyg6+J8c3zuq+gMiuj5kW5sAgIiwGv1xNhmrpQMGIPscVlE5Eya5/qNOnn/XcXVDw+BVPahhVkL6lwioVcgwoceObaVSEphEBv7sDeAp7/0VqVSq3ns/mZm37MQwxHG8HjOfL+ancEpjY+NfOu9jPp8vENE0Vd1fVecx85kwlc+NVbVFgU+u6CXbLKVvgkprFa2/aU30IKOUroCB9ZaQaT8gbAK9YcJVHTClVQrB3me31Xo/N4Gh3dwAnNvuPh3saRCsSsEwOmMDmanSVSJyNIB6EbmRmUcR0QGw3nkrrFKzyHt/SyqVOk1EJqjqX56txbHPJv+h1tp17FGi6r5ldjD8ANh0L8CGuuMwLzrXjAqsUuXDeTIMJ7Ai3Nv5zPxRWWSj83vJhBJ9M6BxAC5vcR29RKvOORGRMoB27/3WiUTiZgC7isgHMH2N+TD2Rh7A42SmanlVbY+i6KpCoXAUTB32Ne/9Rcx8N2zTWUeNYVEOx78EwGBmXigi75CBBDvZMsYxFSFmlpJK+zU9tXYxf72CwUDljDZuGebpy1KptHUnJRYACoXCRaq6GUxB9uVkMnlCuVz+HhGdAAtW54XncCIZtqMWJsBVSwaW/jxsimPJfHA+U9UcgogZrPWXhLVeWsJl7FFXVze0ubk5G4Kwq7LZ7CX5fH4aER0RRdHiQM8/CibP/6GqLmLmDVV1dKjWnKGqJWa+N5VKbVoul6c1NTWN77rWNTQ0rMvMJ6uJjKVVdb9cLrcQMEaHqt7tnLtEVTNqeI4pRHQAMx/vvb/de78nM09g5mfVNGU2ADCVmX+vqjNUtR3AcQCugFHXf9ve3v77VCr1mnNuUqjSvlsqlbaYOHFipVAoNKixdoaFazlHTf14ar9+/RpXrFixLxGdSob/uCGXy70+a9asPul0egas7fkVM28rIrMu71Ha/pFNurdhD+7Rf+o0RPtufLvxXxNc/LORz+d/zMw/JqJJpVLJJ5PJcwH8UK1s/Efn3I3MPMx7f2qocPSHmRo97Jy7NZPJLP82vxPH8cPOuQuDJPe3GnEc38fMt/wzNbeGhobtiejSuXPn7r62wCWfz59KRLuXSqXDump6rMnS6ByFQuFkIhosIsOJqKAGoBpKpop3MBG9JSaV/bBz7obuyvjFYrG/qk5Vk9x2RLROJpPp2/U9XRVPVfU0GDitLxFdpQZg2wOm6z+ezH11SHjYpxDR0WS4gLFq7RMVkV+OGTNmdQspcPWvIaINFJi7EtKvj5Jj5qlqTp1lACNgjq7zYPLPWwN4P4qir2XMcRyf770vO+d6wXr2tzvnnhSRe6Mo2r1YLA5R1WmqOlhVLwAwioh+TESz55FP3tdDx31F/3hmalTbS9C9bmlNnaaqexPRG2FjYQCziOhtAC1qNtMbEFEkIkNgDItmInJn9aymy91svACwU5XzB7VhXWZ+S0S2J6PxVVR1GjM3q+EQNiGzpi+RSYS3hWpFhUyu+Q01gGwbEX3RqpL8VU+pa2F8rVXRX9F6eru7aoDQWBHZOwQLneJPLgQZ7SLyCRENxT8s058hog+q1epK59zBABqJaKwaBXgAETVOS8qQJ2p05JrR/N5lru5VIqfGrlAABTKG0UoAGTXmUxqAZ+ZPe/bsucfbb7+9IJvNDvbePwhT4HwEtmE6VY3I3HZ3C/MtocZYKcGqLO/BNpVWEdmezTa9Q01wq3PTrsDadS+o6sarGPmHamTEJw71VdGaYUq0T4l1UFU/gTEXbmlpaXm6k5ETx/FbInJ1wDiMA3A/mQbHcDJqdkqtfeMAXKKqPyXzSGmBqYtuEI4xAcPmVFW1Jlz/5araL8z5B9Q0Q+rUqjEN4d+JAN6rq6vbu7m5+RUAFzDzqWqW6F+o6kAAn6rqVOfcU5lMpjGO40eZ+QYRuQZW3TmJiC6Iomg/YPXmurr6t3Tp0gcGDhx4mZrb7mrPoTiOfw7zBvleR0fHh6lU6lkyCuoHANYhq4DOcM6d5L3/uYjsFp6vg0TkdGa+DpaQVGFgayLTZsl34sRGjx79MMykbiQRba3GzvmSmR/PZrOnFovF9b33RwM4lJlfqFart3TVFMnn838m05XZ2Dm3XbVadUR0fRRFB3b3DIbP3EBEr0RRNGVt7/lufHP8nwguAOuJqVln/ySTybw7b968gdVq9QwROTIsXlNV9fpcLjd33rx5A0ul0rFEdBAM5FRS1b8z8+2ZTOZF6kYCHADy+fzFAPLfhk4KALNmzeqRTqdnBu+JbislQd77JWb+/tr6ecGALNfR0XFMJ72xc8ybN29guVy+P4qiPTr/FpxXn4Op+vVW1edVdbKq7jlmzJg3GhoaejrnLhKRrQG8Q6ZQeWkURd+QNy8Wi1uIyNOqej2AS0Tkx8z8NowBsh+shDtVVZ9i5mtU9ftE9JIaqK8vgEXlcvmIdDp9FRE9oQZG/JRML2IoLPN6EMAIVX2JTcznKzK/jUxgcGwN4I2mpqZDcrncepVK5U3YpvOgiPzOOfe2mu/FH1T1YhEZTERvkTlqXpzL5eZ2urKKyDZjxoxpbWpqGlCtVk+DlZ+X9OzZc9ehQ4eWCoXCEzA1TiUzz6oCiJn5qpLKX99MattS0uRAj+SEKn1Vx26Uqt6mqgcnk8mNK5XKuiFLPSRk8T1hgc96AF6qVqt9k8lkk4gsV6JTzuhZ3az7wjuwS5lbDihRZ3a6nIg2EREC8DmZCuU9zLy9iOwMYDoZ6wWqWiRztb2eiB6EsTamAVjqnPugTWXUqykcOM8JiaI8vIq2PaqcTIGeA/C+9/4zZj4PhoXZFIGpAOAvMJfZGWpUyetEZLZzbrL3vj+APcgYHCmYd8bzIvKJc+6yOU7ffD3pv9eUwCIBFh7T4TaeUMHVAP5MRhUuMfNzIjIsbEgDyWiTrAYE7PQV8SF4JRgF1YfAoASrmKwiojzM2vwUMtzGXABvkfXoB8JMyBiGvUmHIKYZphx6E4CYiF4BUKipqTlgxIgRq/L5/NZEdKuIPJZIJFaJyOUAEqr6BRltsxeZu2otmTx6IyzoXaaq00Tk9kQiMTwEAj+A+bGkw9qUgDFBFqjqqwC2JsMGXA3gN5+xDnrPqZZV/TDlpcOr6A9jlCRhFcnh4Xp4Vb2RmX+pqp8B2EANrNypSzK1XC7PWHMNKRaL26nqn8IzXgawN4A3ROQ5Zj4HlhBcn8lknu5cx+I4PhTA8CiKrur6XXEc36VWPb6BiDaNouj4YrF4haruFIL+l0TkBCLaiZk3y2az5xeLxYyI3EFEr6nqsPDsPB2CgGWq+gAz76ImYf4lEbWJSC8iqifTBdmWiI4UkWPCOvKnXr163dvZiuxybPsCuCiczzHZbPb5QqFwlKquG0XRdd09g9+JZv3n4/9McAGYdweAh4jo8mw2+xQANDU1DfDe/0xEfghbTBap6o2dDqKqyo2NjTup6okismPI+hYCeMA5d2fXqkahUDhYVUdFUfTrb3k8hxJRfTabveSfvOcxVb2nO7t0NQOy3xJRKpvNntZd0NPY2Lix9/7GrpF3HMcPkVUrtlfVS4MfwpdrlvUKhcIYVb2ZmRcE1PuGIvLzMWO+rk4Xx/GDRJRTA0T2gPkxPElEz0ZR9HEI1g4ia4e8q6rDRWQ8EW3CzEdks9nTisVifcg2NyWi0wC8qKoNYSPIwTaknZYtWzZn4MCBzwDYRlUXEtFmauqiR3cujAsWLKjv6OgohCzqzAEDBnxGRE8A6E1Ee6n12p9VwyicQURfqeqbRDQwm82ev8Y1OC60KIbCMqJ1YZmtiMihzrknmHmjEJzNU9UfOucGhk3NAWgSkRWwgOTEXC43VVW5oaFhb+fcrwFsRoabqMKEtYisZdIKYPplPaoHLuV/SCp3HUe104oJZfwgl8u9FMfxzczcW1X3EZFlzDwEhklgMQnzPjCqpoSqxRci8iUzT4RVHtrI+ulLReQ1MptrT0TZTCbzUbDv/jSKoluKxeJ23vu/EtFMmM09yFw4B8CCpRVqgMsRqnoGEf0+vPaciPw6kUg8ISKaSCQerFQqx4d52xKOj4hoiqoeICJXOudu0H9Yg7eKyGVENICZT/He1zrn5hARe+/HkLW/CMCgcP2bw+YuRPS0qmYBvC4iC51ze6jqj2BA1E9Cxt8TQGe7h9VaPMrMn4lIA0yErhW2ub4efmtnWOBRF9aOTu2T9YjoY1VdT63q9mtm3kFE0sx8eLVanc/Mm8NOOAEAaviGxczcR0SuUNWZzHw3mQvwVyEwGszMC1V1iBeZPqVG9385pSl0Was3r5Ac3sFXj4+iC8LzeSkznyLm6eJCZSQRgpWV4bzbyYzsFqoxeT4DsNB7/75zbh9YMDBBRJYz82dkVbcUgGs719KuI5/PjyKiS7tqooRzpDiO/05GSR0yZsyYJXEcv6yq48gwT++SVTAY1nbcM5fLLZw+fXpinXXWOVVEfuWcmx0qdSCiZ7z3T6rqi2PGjPkgsOn+rKovqqnVjre4Cq+LyJ1rOkN3jpBMvAZjE92dzWbPAwy3ISJ/zuVyr3f3uVCNqURR9J3c9785/k8FF8DqSsBkVZ2ay+Wu7vz7ggULere3t59EVob7EoATkbvXjHCLxeL6AE4QkUNgmXU7Eb2aSCRu894v9t5fmMvljvg2x1IoFB4nogsymUzjWl4/RVU3i6Lo9DVfKxaLKTGq4aLOB6G7EcfxaAC/jKLoR+E791DVnwHYwHv/K+fcuSJyrHPuxmw2u+uan9d/yIifBZNO3omI5hPRfd77bcn8WNYHMFxVXwCwOxH9jJmnqOq+InJw2NimADi2rq5ui5aWlulRFG0dWCTnRVF0VKFQ2A+GyC977y9n5qOZ+T4R2bS5ufn8urq6RUS0nKzS0gpgNoC9yIzKzoH5hexIRpGbA+AyAPfBstDlMGvwNlXdQs3TYiKZe+elzLzEe/8EgNnOuXM6cRjh+l1KRHNFZH+yStZnMLxFT1Vd5px7SlVvVqParlLVj0KmfnMIjBTmQNmmxjqoAzAqBDgxEb1Nhj/ZWVXXDcf+SfjbM3+o9c35BK5bs6y1vqD1nBZ+Imnum/vCJLSPU9WHYTiCIhFtSGaE1aaq/UIW/FXYRCJV25TUvCQobGBXwIC2dwGQ5ubmYdtss037ggUL0qVSabaIfM7My8kwKN8XkdFE9H1mXqKqJ8GejYFE9FmYFyUA07z3zzvnjlfVyWQeOkcS0WtE9JCqDq1UKj9auXLlioEDBz6rJvI0CmaL3unYm4K1JDysdcDMPF1V12fm8wJIc1NYm2klMw9S1ZdhoNnRqjrEOUfe+15kLIdEOO+BIlIl033pnPMJAEkRmUdEHDZiJmPD5EIgtoRM4ntouK5tYuqTNUTUQ022fnXApCbvzuG3oKoriAgiMiORSLyqqsNU9fswYPRYAB8T0aYi0jOwfPqEIK5NDYv04cwU+j9UIxO7e+57Ks67qpk/ZjMy2w4WtL2uqgOam5sn1NXVfQ7gnVwutwuwun05CCbTvoGIDGLm4Wp4jghWpUqE+zmYiB4WkT855z5vb2//oGsrFlgtKPXWmlivd999t28ikZgRApxV1Wr1COdcI4A/5nK5EzvfN2fOnM2Y+VIi2hPATGZeLCLbw5KXdlgbpRcR3ZHJZE5esGBB71KpdC0sQN80/D9QRNLJZHLC6NGj16qFBFjCBWP1LG9qatqqswoRx/EsZt6mu7ZwOMdZNTU1O34nmvXvj/9zwQWwGpF/MxG5jo6OU7uWAefOndurXC6fDOBIZv5Yjbr3SCKRuKUTJLnG9+xBpiy3LZlQj1PVyxOJxH2BjtntCEHOM1EUfYNCC5hfhYj8qbm5ecfOfm3nCO2UR1R1Wi6X+213n+8cwWr++Gw2+9OAv3gDgIrIZGbeO5VKHZBKpVpaWlqmRVG07dq+p1gsbho2zAi2WPYkopecc2fV19cviuP4TRj4bFMYmn4hgL+kUqn7OlkrcRy/A+BHqnpRLpc7Ys6cORsmEonbiOhKEbnFe3+Hc+5mNb+JnzjnXheRN6MoGpfP528lE+d60zn3kff+IITSdTqd3nHkyJFzu1y3PxNRVg04WQ5Z7P0ALhKRxUR0bRRFN+fz+X7M/BtVHa7md3KtiJxDRCQil1YqlTiVSr1KpkdQq6pb9ejRY2l7e/vRRHQKmcz28QAuZOZbw2eHikgHLAMiWHumA7YhAsDN5XL5ytra2lGqeqSap8mzIrKzql4MICKiH8J8G94DsO98p1v8LS21HzrtcEqrNvYo/rTkohpBGxmWYABswe0TAq+PyBQYqyLyRyK6SI2CvR1MZfRjIqpX0+uIQmbdV800b9ew+fZTw0w0wErNG4tIDRnodN/m5ubPevfuvUJEnsvlcgd0zpNCobC5qj4DYICalPvFIpIGcAAZpmE5gCNF5FPn3Hne+92JaJKIXEtE+xDRYDUDtwqZ6dwiWHVkQOcmDqsSqKo2quowZl6mqgNExDGzS6fT+5RKpWtFZA/n3J5qjrWD2UzNtoRttKsrE2rYq06ztlVkFadWEelg5jbv/avM/BGA8wDM9t6fmkgkjlTVsc6566rVaj8iOoiI9glBoyeifiLyFRHVwDRSPlRjLgwCMN97/7hzbjsyjZLFaq2cjQBsBav8gJkHiMjKcL6dzqhL1MDTuK2m+tHcJK2mXnYd6yh9eEmrSwHoVa1Wz2Dm8UT0BJleHS7RAAAgAElEQVQfTU5EcmTGcEd2VxUFbC2sVqsvAfiTqh4BIOO9v5iZTyGiFUQ0A5ZUbIBQFYPpd3wmIguJ6Fg1qfyFURR9CEALhcJfiegBIpouIkUY3urDXC43ErANe9SoUWPDPNxZVbdk5tdVtbeaZPz5zrnFatL4GTJZ93dgomRPrWLacKXK3gNBXCOaZObF2Wx2ZHfn1zny+fz3yUwE+1cqlVwniD2s0Y+tDaj5nWjW/2z8nwwuOkccx6er6p7e+8PHjRv3VdfXisVinYgcC+BIWE82A+ut/2ZtlYZ8Pj+cmV9V1VWqumEA1U13zt2zePHi6UGECgBQKBSOV9W+URRdu+b3dMp7A/hJFEVNXV8Lkf/jaq2SP/2rc8zn8zsCOCCXy51ZLBavEpHdmXmOiAxJJpMHjRo1qlmNUfJ2FEWrsyD9ulvs91S1LzO/DFOzPBrmzdJGRAcDeJ6ZDxKRnmQGUqsA3L8mAyYEF5eo6pa5XO6iEMi9SNaT3r9SqfhkMvkJM1+eyWQuDcf/BIDFzLy5iDQR0UgAtd77M5n5F865gvf+eKL/x96Zh0lVXWv/XWvX0DQ0s+IECooMVacaFJznOcZ5xOh1ROMQNcbZxIFo4hCNQ+IYpzgPUXFWNCKIMwJdp7pBRXC6ARlE6Ibu6jp7re+PtYu0bZObe2/uP1/Yz+PjQ3V116k6p87ee633/b00XVX/KCLvOOeeIaJZRDRCRPoB+E5VxzKzI6Lzvfd7k7FOng7nYrKaSPN3hULhrjiOt1PV62EVhwoZrOicfD7/9vTp09OZTGYgEdUDOAnA3gBayDQiK9TogecC+I2IJDDLswu72j5h4kqI6EUienDkyJFvl0qlmwF8pqrPwzQqG8EqRLvDLJcEm1gUNjl/A9MX/EZNVV9LRH/KZrOXl8vlYWrwsnaY+G6u9/7QVCp1laoeESbQcjjeT9XCzprDOViQyWT2SZJkspiwtMLMj6tRPx8P7/Nk2DzcE0CVDTBNDUY2BiaufEwtH+QTVd2UjGFwgXOuUUTOFJGTmblZRNJkLYtuaiTIp9Wsnsd57yfW19ePC9fNu0S0lQTuAayCkVHV78hIqu+quU8ODIv77szs1dpln8AEmFuooa5JVSvOOVEjobJd7rqSmf+qJmicMnv27MtGjBjxQSqV2itJkqnhnL2sZqHeQ621tILM/urC35wHoIeIOAA9nHMHeO+viqLoyFKpNEEs7XQ/Zr7Kez+BmbsDmNLW1jahpqZmdwDHquq+4fyWvfe3MXMtEf2Smbfx3o8DcDQMCDftrlrdr5TqmrXRS2nhb1a6r1X17CiK3mlsbNxaRM6IoujYOI7fgdnyHyWie5YsWbLurrvu+j39QaiMvq2WHzRJraI1TlVzMMLpYUmS7NHxvhmQ6xs55zbw3q8P4Hxm/gzWitlIVTcmi3p/B8BX4T7SN9xLXnTObR+ul+ki8no6nX5DRDb13v+SmReSsT82hAHfnlfVgTB3W2oladv9NfrdnJRuAICgiq28az+wTE9un7OqbVdjxowZ66TT6beJaICqHhhF0ZvVn5VKpf1VdZsoin7Z1e/GcfwWMx+9lm3xPxv/Xy8ugNWhNxeJyLj6+vr5nX/eYZFxIiwvY30y7v4fOgqYOvy9R8Wiu79OpVL7qupJ4abriOgT7/2j6XT68SRJHkqlUid2BZWJ4/gOIpqez+fv7nQs63nvJxLRddWJ8R+NXefNqM9Janx/0SHdwbftU8btsDLxspqamqM6EkHjOP6oUqnsk0qldgnOjq3J7H0viMjzhUJhNQl12rRpdb17975BVQ+FAbiqJdN5sB3nNqqqIrJ3fX39xx1fA5YjsLxQKNz/6aefrtPW1vY5EW1XqVS+SKVSL8FKwrdGUXR+HMcFWDulKZ1O/zQAma4JO7wjAGwRRdFXjY2Nm6mFojWqZQWUALyhqj9T1c8ymczelUplqaomzPwVjC0wiIj+RESPishtNTU1+7S1tV0JYAs1K+A8Zn7He38LMy8joga1uPEaZp4bds2NzrmNvfeHhsXGAwD+Q1Xfg5WSHyaisQC2DVWAFlV9GAY+2phMf5KDWRA/AbCouusLn+U8shbCUWRchO9E5CVm/g8YJGlTIvqSiK5V1VOY+fhcLtdYLBYvZbPLVnNSWskQxy0A9iSiipqY8wQxQWwfssj1/cL5HAzji2yhqp84546r+venT59em8lkpjFzH1X9AqYv6Keqi5l5Okw0mQOwjZoI82vYhDsgfFcUNtnPCwuJTQGAiK4VkVPJAtzmhWO8p1AovFwsFp9k5kNhlZxNVa0ERNZ6mauq9xLRAWXoYUsZi/p47dmNOBWex7D7GJE5K1itApKB4cmLsMXFOc65s1W1Ppyr9dS0Hs1EVCV9Vhc1M5n5y6Ab+rBcLp8/ZsyY1VXKxsbGHUTkVVW9moj2jqJoxziOpxPRazBnw6NBaP37cB2vhKXuZohoCjO/mSTJNLKAuhKAgXPmzNlq+PDh95BVnwhA49M1uvPktPTs6rs/0vOC01bRGR0dDHEcT0+n07smSfJbVf2Rc2537/1DRPRtPp8/EABC++tIEbmaiBY65/arVmCDeHFekiQHBlpuSxRFd3T1+sBqB1trFEX3FIvFbZn52ra2tv1TqVTknPsLrEWYDdfDQrWqW7Wytlr7wcynqqorl8tjMpnMI+l0+s9JkkSqehmZ2HfuTd11o3lOazofw7oe8RObjip0frzDMT5DRLuo6h8LhcKlHX9WKpWuEZGpHR0vHT7L7TQkx67pb68d/3j8f7+4AEy4KCL3Afh5oVCY2tVzGhoaujPzeAAnioFe6gCM1E7K4wCXauo8+Tc2Nua89ycR0YEwHUBGVR8D8NDSpUvfrFY14jg+RFWPKhQKh3f8/ZkzZ27inHtaVc+vr69fY6AOYBH0S74YdrtCxyOcQwbJLu1YeXCZH6yKP6slSDJXx3mwrIMXVfX5KIpmdFw4zZ8/v2blypV7qpWYRxHRSyLyMhGdBAPe3C0ijwCYRESjVbUGQBxF0WqMbhzH76vqh865x5YvX/5RXV3dKwDWL5fLY7PZ7IthkrxHrS3yEDP/mIgu8d5fRxZ0lA0iuMu996OJaG4+nz+diCQIsp5WU4yfQkSnwoias51z33jvtwKwb9h9/kpVpxNRFR4kamFbQwAMULPWLoNZGYcCuIKI9lBVx8y/7GwbLhaLTxJRFHbRdWrugr+RtVNqEHgPRJQVkVZVvU5V1Tl3LIDumUwmGjZs2BJ0MYrF4h1EtFttbe3YlStXHkNEN4RzOgdWwn8KwH5hQTRIVa9V1bOYeQQRvaoWSf4cER0J0whdqaoXh4nuQLVo8+MBbKjWB/8GVj35Vo1vMIaZr1XVJSJyXn19/aJSqXSjqv4MwKcwfcfPiag/WatlGKzf3Tu8/2mwBcfmZFZZkLUkvgHwEQBWC6QbTmYNbSaizyqVykHpdPpFZn5xicpp7dC+64KVTXcwV1U3VNUsEaEV2vJwjbQW01ivmjA3NuG2Q8u8uFa0OwJfg4g2hbXuknCtLwIwlswRkg6LjiXh5wIgS8H6SkTrhDL+lel0+o0RI0YsVavuHQpLF51UqVSuqe7ki8XiDCJ6joh+ISLHhkVijoj+DGAPmBNkKhHtrqqXE9GVRDRURLYioutg1uANVHXdsMj4EsC7ZLqJyQCeWMY48Opa372Vvn+fToN0/Cp6+MiRhf/o+Hgcx5eQQb1OI6KLAFxWLpcPzmazXwM4DsBAACeE8zKcmXftrDWI43iRiJwG4C1mfuYftVKLxeJOocLx+1Qq9TqAV2HapxzMbXUlzCr9pojcw8z7NTY2vrP55puv55zbOBzPIFU9j6zlvAxAXzIBbAa22dviyxRNvr7W77um45DEDZq6WfRV58fjOD4mLGoXRFE0tvNGsVQqTSWig7pCERSLxSedc9evhWb9z8e/xeICAObMmbNBpVJ5AsCdURQ9uKbnBb3DybAv4WvhZngwgGczmcwf29vbd1TVfKFQuHJNf6NUKl0qxpfYGECBTOD1iaq+zMxHEtFOHS/oIHx8kJnHdxQbrmns+vnM0xXUJeN+vURPuGSVy5AJpYbAxFKviMivoyga1fG5YfGxKxEdC6soTGbmJ3O53LSOz2tsbNxNRK4Lu+THYDHhLWThR6dWV/5xHL8NoEVETmLLoZgIg/MsB3B7FEVPxHG8NNw8Hmtqajp9+PDhexPRE9773ZxzPwlViXG5XG7PxsbGCaq6fj6f/ykRSbFYPIXMafJGTU3NBa2trd8w8ycAtgzOiHtgZfGzYVbAFBHlRWQuWTtnAVnb4l1mHqSq24jIa4VC4WAAmDVr1g7OucthrY5pamXeMSLSk8yWWgkVhl5qmOq/wSyiT6nqOrAb685kfeJrYZPMHNju/fTOLbDwmRVhLosHmPlSItpWRGqDyO8zIrpl8eLFT6yzzjrHqOq5sNA3wHIgznPOxar6UdiNPwBLwDwHVpkYqqpLiegDNZFrHw2tA2a+QUTOJaLPiOh3ZK6TK2ATb1XE+A1M4NdARM+KSGNLS8v8nj17bh/O645kgVJXq+pJZI6N2eG8T1cLjuuupolpD4uOodX3/kWK8Eg2ob+Fwn+tAnuXaenuieuhqjMB9AeQva2brDM79cNd6whPckar86HQoQC8GIirR7guAHOxMKz99BjMllknIsPJguOgqv/pvZ+YSqUO997fx8zbA9iQiN4Skdedc2+p6l5qQukX0un0DZVK5ZWamprdAqmyf3j9FgC/Y+bHc7ncQuDv9NxisXg4ER1KphXakIheyuVy/1EsFvdj5ieJ6Gnv/W+Y+eXw9xYA6PVeWs+bltYrFrAOFAKGJKD9y7xiE6FnNRAnm5qaHj7iiCP8rFmzNnTOPQSAoijapVgsXkpEvZh5iIgcoKoXJEnyVCqVekZE9u/IfwBWJyw/oarthUJh9ziOnw4tzFkdn1fdtKjq/sx8lqqSc25SpVK5J+SCDGfmrUTkIgAvRlH0WhzH56vqJel0eusRI0asxqGH6sd6ALYjCytrV9VHiOhmtdTdW+IUsn+qlR9guqujq5CxOXPmbNDe3v4+EXUvl8uDx4z5PiDr008/zba1tb0VRdFWnf/eWmjWv2b82ywugNXViQeJ6JNcLrc6C6GrEfI3jiOi04noeTJmwsmq+jWAbKFQ+NGafjeO43cymcwBw4YNW9KhenCcqo5n5oqqNjPzc977p8kEbH/w3h/VOYNgTWOXz2e9DmD3rn7WW/DqlSvdyyLySueWRRRFWz7xxBMul8ttKyKHh8nhLWZ+cuTIkW93Xtl3HEEn8qiqbklm7SsR0YkAFtXU1AweOnRoOY7jN2El+Kmq+rdyuXxzNptdSEQ/zeVyj8VxfDKAW5n5BjUB31xm3jmUht9Ta0lcrar7VCfiYrF4IYD6pUuXHtuvX79pqVTqSBG5QERGk7UkAABqZM1VItKXmXt575uZuR1mLf2uXC6PzmQyzMybEdHBInImbNLJqrUTviGiL5l5oViI1WhmbiOip4KbYUuYuO0sItqDTPi6BJak+TIRDYUlNvaEcVNyRFQmorPJ8Ny3EtFUIrqs426xWCy2hCpDrff+Gma+gUyj8J2qTkilUpeLyGgAH4e/3xx29INhZee5RFQrIr2ccxfmcrlH4jieFo4vE0SQy9W0B5+RpcQ+pZY8umt4DzWwHf9ysorOYBE5B8BJzHyxqv5UrX+/P8w2PIWZZ6nq2WqiyS9gi523YZWQE2GixXz421W9yucwbPeKZYR1f9NDuJ1+eA86po3bt0lYVDW7lHXFFd2lS6suAFy2kn1/j2qa52fhPWzGzEelUqlie3v78QB+DqM+DoiiaELI1JjCzFAT8h5LFnF/lFpbtE2NxbI0LNoGiUgdM78llki6p4j0JqIFaqCwNmZeLiKOjJ/wIQDs8tVHmx28KvX6C93ollNacNRIdUep6lS1WPIUgFitzdcMYABsIfSFqv4ewM1E9GwURUfFcTwdzAsB3QOiWZguZ1ySJJ+m0+lT1SBpD4jI3cz8DhH9lZlv9t6fC+BYMqvwrjA9VT8AV0dR9Frnz7JUKo0DsJkagOzqcI3sFUXR2cVicQiMoruHdtBNALiViG7N5/NXlkqlv6jq1qq6W319/cchGXnr6vVeKpXuV9W9VXVkoVBYNnPmzKHpdHqKWgrr+mHT8VSo5vRVA8N1+4qxznXd/fprugaY3WZvDPp+ZECpVHpDVbdl5r1yudxbnX8ncJGOiaLotM4/WwvN+teMf6vFBbAal305EY1csWLFcZ2dGp1HEDEdT5bgN1FVPyBzJnxIXegyAmvjpirdrjpKpdIEAJVKpfIQEe3vnDuSiCJVrQUwXUQeUNXnOu8muhq7fD5rOmyy+8HoofTuNSudiLEMnuvRo8eMTTbZpL1UKs2BsR92Z+a3KYgN/9GCovOYMWPGOqlU6jki6g27wb0D4/nPI6JDVPVmVR0J4MXm5uaz6urqnlPVQZVK5aBsNvsHGP//JGbe33v/AhG9sHjx4vHrrrvuliJyihrw54BCoTAiWIeHMnNOVU+Ewc4A4IuvWb9uI1pnkNdts8RERPfncrmTisViH5jV7kwROYbMXlgOf7cXEX0A8/nvJCJPM3Mvsl7wVrCbb8LMK733U4jou/AYAKxi5vNF5Hi18j+zocSfBvAym5PkLzD76gy1NMrLYdHvG4vIClj4W28iOoKZz06S5G9k5fEjmHnPfD4/OY7j84no0FBp2UFV2wBcSkTvAXgFBk1aB8AxoQrwF2ZuUNX3VfX4UCE6nqxFciysctMCy9EYRGahJDII1rsAxjFzTXCJvC0iFSLaRw3kVI2E7w2glojuChWSMoAhzrmhInIUbHG2hJmnhs+2VVV3FJGzU6nUH9TASStgrIhEVQcSUfqVjOqLWcl0dZ0N9NALVjnPzEkTJS231mr/NV2T41t57ijPCwF8lsvlTiyVSpMB9I+iKBecLfcDmFdTU3NYW1vbh6p6AjO/oqpz0un0ke3t7Ter6q/q6+s/Du6wqcw83jn3XXt7+0giysEWVNuROV2q2RvdiKiVTEPymar2cs4dIZYzMvvcOr+iHbgwnDMAwHDPC09eia+2iKKt58yZs1eSJI+Ha+ZrZv5IrfW1u5oVdRkZ2fN0shbgZrCJv3eoKH0jAQgXtBInABhP1qpaCauo3crMr3nvX06S5PBUKtWoqvcXCoVTuvos4zi+PbQ+QURnichfQgroV0T0qYi8roE3ARg9l6wNtC2Z7Xsv7/0h9fX17wU91SVRFI2rfi/J2la/hS34l8OszC0wXcZiAHG49m/pgBX/JYjOubJbJb3I0Q/0J0o6dcrGo3fu+FipVBqvqjcBuHlNYs1isXghEf1nFEUPdXx8zpw5dZVK5a210Kz//fi3W1xURxzHJxLR8ap6eBR9PwGvq9HY2JhR1XEi8nMiWl9VDyHLLdkJwP3Nzc13bbfddq1xHF+uqnMLhcLD1d9taGjYkZknzJ49e88O/uqDVfU8Vf09Ee1PhslOqUVFPyciE7ui6QHALp/PegimKv/ByFfw3k/b3Lowq2FPMowzAICIvlTVKd77Kel0+r1MJvPZPxMD3+lzezdJkoudc5eSaRDWA1BTcvL1ohQNrlXy76vUn13hW1T1BQBnAGDn3Km5XG5asVhcBhMzzmHmD9va2u6rqanZXE2wCdhu/BNYmXm2qjYycxOAG+Y6XX57ja8rk7UG0grsnTjdq50XkKU6tsDIh8thxMM6VZ1GRAeotXQWhIn6q3w+f1Ucx4+q6mIi2okM0FQQkVqyvjwDeFuNPPq5Gtp8YzXx7tfOuUhElqjqy4VC4chisfgTIvqtqioMsHQQgCNhMdybM/PHqroJMz+nqieqWX0/BNCvqalpuxEjRuymlsXQrqrXOuf+HEr0j6rqWap6KYAxALozc1+1HJSVZE6Su2CVrM1gDpIedrqpDKBZRPYhoq9hjIUNYW4SEpG/MfPEXC53/uzZsw/w3t8Sfl4BIES0WM2GmJCxM6ZVxajM/DmAv6rqPFX9tKohKhaL26rq5cw8CrZYg4jcCOAcmE0TAOKHanTT99NShWd9b3RX6DUtrgKAFznyV9YmXcbdA8BOFTrg10Prn4/j+CpYC7JZVTfIZDIXlMvlO4nocACPRFG0dalUmqiqP2LmK3K53NWAYfJVVaMouj38u15Efp/NZo+sVCr7wvQuwwC8ycxPplKp+eVyeQQRXanWJtsWJnpN1Cpw73yQ5Y0eyiYHdnW8m3t65MxVXFDVDZxzEwD09d4fQMYseVlVx4UKTwbAOUR0FRE9GM7/AjWCpbLh70tRFF0AAI2NjaO89+cFYSxU9UkRua6+vr4UFgFXwqolA/P5/DrUqWobqrqzADwLYGtYhel2WEVlUhRFj3d8fhzHAwE8x+bAGSqWvvtbmBNmCBEdFu4/aZg+qUlVSS2GYCQRLSYT9X4LINvc3LxNr169nIi8k06nty+XyzlmvpKM+9HvW0Z0U60sXEa6efUYNvG0bOcKfnLC8PpXqo+F1lAjgC+jKFqj0DOO4+eSJDlr9OjRn3d6fC006180/m0XF8Bq1fcfmPmEzn3FNY3p06enu3XrNiWURZ9zzt1bqVQOJqJxZAK7fZh5h1wu1wJ0jfeO4/hUIjoslUodPHz48Obq3y4Wi0OI6FBVPTLcbFJqWo0HVPXF+vr6rwFgp89njWarGnyvD50CWs9b5R7dINFRZJCiJgC3ENE8EXmMmeer6mYw7zmHqoXAhIMlEWkIlZlP29vbZ3cG54RjvFJVG5j5UhHZrjnlrnmgxp/xiVsdaIUsINu14ZlDKi5DlnJ5WKVS+cI5dzAR3U1Ez4tFQu9ERB/BFhHjROThMCk9ClOYrw9giIhsuooxbEIPybbaDfJ7Y/8yte9dca+oajdmvjCXy82M4/h5VR2aTqe3T5JkSzIxqYPlqywSs9kOUdVJbAFOiwA8KCL9mfnkoEdYTtYK2B0hthzAIaq6KTP/SlXPVAtb2rVcLi/NZrOfwZwbn8Owxb1hltK0iGSIaCgZBrysqn8lop/AFloKo0OODC2mFeGz3omIXvXeH92tW7emcrn8AjP/SS1iOw2bgNaBVQY0LAb6htbO+jCXzxAYx+ApInocBilarqYZ6QeDVjWHx7Nq4saFanZPEZEXYLjq7sx8Rj6ff0ANvHaHiOxFRO/DRHgPqZXED4ABkN4nC97KqdFJM2pExXYian8x42tfzmiXMfYbCPxFLQyyPBu5vtbT56w/vFcpPnpzk/qx+DuSek64lr4hoj0BHBxFUTGO46JaG29fIvoml8sND9c+isXicGb+dT6fP6KpqWnjJEn2JqILYPfGBwE83lkrE3gyv2fmZ7339wBoZ+Z3Aezsvf/2/lp0n5nWwV29txrRude1uLJz7qRcLvd+sVhsANAYzut94bN8UUR2ZuYHFkHOmNhNaa5DVlXdhgmWHVnhXut5+htsAX2DiOxPVk67XUR+DnMlTVULGOtFRA95769S1Zudc4eqauPs2bOP78Sb6EuGXT+prq5uWnNz8yHMHHnv7yKi25YuXbp/v379BsFag0PZUoPnwnRGvQB8TJaIWnVB/apSqfyotra2ub29/SgiGk/mnrqJDWw2RVVjMnDeBdVWUhzHvwFwAGwjcH4+n2+I43gJgKlENOPMuuSZLSu07+5tOHMj5ZtVNV0oFK4BVgMBZ4nIZitWrFhvhx12aO78+VefVyqVZnalQVsLzfrXjX/rxQVg8CgReRTAhK6yNboaQZU9D3bDPBvAtJqamt+1traeSERnA3ixumuI4/gxVX20CrIJOSHbdu/efVxn9n2n4+rrvd+dDN6zEyxJsw22s3jxV7W+dYWjq0HYhgAdIPjy2DanAz26EVEjM5+QJMn+4Uv9uaoOSaVSe1dBYQEwNQpW+t9eVYeRKeerlY5qZsMCAJ+KyHSYOLEHgJ2IqH+SJGf+og9fotCTOx+/A3DBKvfBBh4DYAAognneexHRH9WwzT9RY2ZsBKC/qi4hokWwHdorCHZNZj7nrqznYlpP7+qz6ivQCSvdPCL6VT6ff6yhoWEwM98F4M9qEJxfhAyBu8NucwFsct5QzYp5U5IkD9fX168EgIaGhmHMfHuo9Fyqqi3e+42ZeRdmPlBEdnTOVdQSGZ9k5o1U9QQA08j68ClVPUhVc86501R1G7KWxDtkqOcPAexDBmJawcxNIjLaOXeNiHysqhsD2J6Zd1FzQQxQ1e9gu8I+MLHk07BJ7WwR2ZysHF4motcB/BgmzPyQTHvRQ60dAjX7KERkpZrTpRtsJ7xMLQjtZjLRax8yHPQQWNk6Ha6jngDEAzzbSd3SFNf0FWB4BUjbAqxGbXwLa6c4Zk5EBOEzqABoXcjgq7v7OuniHnRombFLO6maqJQWk87+czcZ/IVDbfU5gxMkx5R5zrpC1cpbb7KY9VaYIHIZTAvShwztnsDoqz3UXAnVyaMbgKFkOguCTdhLQoVgLqyK84OhprUoE9H6QWvxrqpmmHnQXTW+VzGlfbr6vX5KcnkzfRIqSb0BbOqcuzVJkj0B3BnEl8OJaOvFpM3Xd5cRqzrpUmoAnLPSfbm+115hA7JtoVCIQ/VsY1he0P75fP7MpqamvIhMEpFvyXJWngNwulpc+5vyd97ErqpaddUNIaOhToBV73Zj5m9U9ctw3xsBIPbef+ecO0ZEvisUCvXV46uK58lE0Xuohcvd1d7e3pLJZH5Blr0zGVZ9fSuKor2ampo2FpFLYLTV9QDsGEXRN6VSaYKqHsfMe4jI0z169Nhq5cqV/6GqlzHzWFV9qEoebmhouISIJjjn9s7lcm909fkDqwX0l3VGl4e8lC2r1aC14383/u0XF4BN5GIQoef/mXJYIL6NjqLoCg12NTLrF4joFiL6TEQuJDpLxiQAACAASURBVEur/Difz+8PAKVS6ToA6y5ZsuSkjsCt/2ro34FXPyKiw8mcD1kiam73PsWOPkmB/+y9f6pQKKyK4/gCItq7UqkcucUWWywuFotbklkaF4UJdvVE2nEE8enGQeewjapuRUTDVLUOgXoIK//2ZOaVqvrdL+r8OhW7Qf9g7FOm//xxO6+DYP1T1flENEJVXw831x4wJG93AE+r6oGh97wZgGKY5Hqo6g5X95Bn/kZ67Jo+opub3YcMjIS1Rhi2G/8O9lgSXquCv2Ohv1bV/qr6BRnnoBcRtQJYJiIryILB+jHzxiLyGRkyvjrGhkk0Dav8EGyy4rA7bw2TzToAhrHhx9cjop5kGGkAqDjnEjFwVP8wsbUAWMQGiOqvqq8B+JoNMDZGLf3xbRH5MkxC24YJIw1bz5XDZ+nsstEFzJyoifgWAViPiMpioU9ejdcxWFVvYAudY1hL6eMgAh0AmwD7wnanAqB5AWvtPbWa+ob+DnjqK9CTyqnmgRWZRkQDiSgbFjx91HDac4nor97725xzG6rqIQ3On/l4DXgFWVXCAdi9nfDjMivZwuJuItpbrSVw6iyW6ffWJFP39umafct0MQEbENFTRPSAiBylqq8R0VnhkDYBMIPMrbK19378qFGjnp49e3aUJMmdRDQ1VF7+E0ZbPT+fz79dfT+NjY37qOqJ+Xz+iK4uuFKpdIGIbAdbvKzoqLE6bF7D9UtYz+3q99b1iC9aLrtnMplL1JJKtwyVnfkwl87fwrX40DM1esEbaenyu7VVhcrHtae29d7fE15/lziO/yQi9xQKhQ9KpdKMmpqa/dra2h6EOaj6kpFZN4alpw5T1d8y82BVHQKgoKrfMnMMYJ4YgXMsDFU/X1UHR1E0IY7jI4joJ0T0uvf+TFh66a6FQmELtVyR3QFcS0a3vXjOnDlPH3HEET5oMG4XkSkAfuScO8V7fx8RDVbVN51zdd77CfX19X8Nk/x2aoj7HxFRLCIzmHl0OLbtAYwqFApbhRTaXYloADPPFpE/FQqFn3X1mXU4dyerak0URX/o+PhaaNa/dqxdXIQRNBV3AmhfvHjxGf9o8g+o7Ks7sipUNVUqlT6Dqe+nAXhGVW8hordUdQcyV8iMfD7/M/pviCg7jhBSdhAZNbMHABbLefBERACeE5GJzrmp3vs9iOjXInJ8qKA8LiI3EtHO4ebwnvf+D51DyjqPaoVDVXeGidqGiciGRKQgwlndk1QXBWsAwBYV+uCENq5SQb+D3UBHqeqrsJ3lMhgFc2IQ2Z0vIr8kot8S0eFq4sETALScU5e0euKbu3qdlOqiG1tSTlUfZeYRIjImSZIbUqnU8WQ93/WZ+VUiOkdVF4jIU2pBSh9EUbRfh/e6JZktd2cAU0Tkz6lU6m8i8kciEufcaSNGjFj6fql0XEPK37yIUZMQpte348Wh6q4Ku+ZaMntmT1hSaVlE9gk7vwxMFyAikiKiCptNeAtVnUUm4iwD+DKVSl2YJMkAmED1eDUL5+LwX3ciSnvvHyeiV2Giz/7MvLX3/h1mzgVXwwoAy8P5cjBB7RRV/QlZ/PdyWCWkPXxOz6pqPixYEgATiejGQFb9uYicCyK9qta3f8M/tIb2FLRducp5Ek2TZXlkROSkQqHwSGNj4xTv/XtEtDUAx8yLVXXzCmHElyRoA5KNPLgnSNSw7oAtHhaHiso2HdsTaiXwK8J1ORfAUbAq2xMAZgF4GJaM2p9M2/JlWOztFhaTv8lms/cEl9NJqtqzUCjc2OnafwTA413hs+M4Pg3Gv2hV1WI+nz8cMN7Ntyr3XtEj2dSD+n3/tzQ5oy01e3gFm8LaZXcDuDidTm84fPjw5lKp9JJz7tJKpfIkETX/sVY2/7gLcBQADPIk562kQ9vb21/MZrNfhAk6nyTJBcy8jxqYzalpuD6A2ad7h/PdG+ZqWqKq53rvX0qlUq+Xy+WdOrZCZ86c2ds594aq7siG6D6CiB4Kx30mERVzudzRcRy/QyZyPx5AI8xtdGx9ff38yZMnp/r163cuM/9YRE6BcVgeJKIrnHMzvPe7EdEGRLRjtTUSzm0MYHn37t13b25u3oeZR3vvb2XmF2DtwNejKDovjuPrmfl1EblfVVcVCoUhXX1enc7r/c65mztlDK2FZv2LR5do2X/Hkcvl2vP5/Amq2tSvX7/np0+fvkb728iRI+eRWQFXjziOtyeiV/L5/FiyuObnmfnjVCr1O1X9QlWXqeq2jY2NV8+aNWvDf/a44jgeGMfx2XEcv+m9/xMRLctms/vl8/kt8vn8qKVLl27CzEcDeFJE9iSie0XkCyI6h4gmMvNDIc21lYhWFgqFa/P5/GgRedI5d1kcx28Wi8XDGxoa1m1sbNyhWCyeEsfxzXEcvxZAQU8AGAezFl7X3t4+BsB4Ebkcqq09QIvWdOz1wmPJxipYRPSGZEKyJ5l5knOuO1lA1GaqugcA55y7noxu+bCaTuAcZt7lVyvT+2bRtXV4gNALqrqILSumnpnrUqnUBCJqB/Cxqn7tvb9p5MiRn+ZyuZbZs2fvC9Oj7DZnzpzVuQSFQuGjKIrOrqmp2ZqIXmfmn4vI8wBKqvpqkiST7m9sOOvCHsmvHqnRXq9nNPtmWrf/Y3dMeDqdPMsW7gU1hPQQIjpRVQ9n5hkicreqnppOp3cTS56cr6rp0C/vw2ZRLpPBqsaGXd1QNavkJsw8Dta+aCein+fz+UFkeQnLYCFvm6rq52R5EkrmJukFgJnZwypPGefcO8w8gZmFmQ8BcDMMQvWOmvVwiYj8RUSaVXV7EfnIOTdbRI4B4BeQftvVwgIAVjBqPiX9Qs2SOlVEvgQwvFgszhKRemZuFJGfwXI9DgIwyHnRwQney6t7vCeoAqsu1ak5Xxap6mJVzQJ4qFgsrg7eIyINacMPqNk5qyFxRxPR7WSi3O0AdFPVfVR1D2Z+Mp/P14vIeFUtVMXMzrnXiegHTINsNnsWEf16DfeCdQG0ee8nqep6kydPThWLxQtF5L6eXk6rgMdC9ZksIAzo+kLfntqWmjm8gkmwRV5PWPx3u/d+gBpZdEj4DvdV1UGs6FIzAAA1ppkaF9oMXwE4QkTygXOxY6hAdIPRiX9LRAdFUTQmiqJNieg5GFSvr6qelU6nHyUi7qyxGj169HdENC2VSu0O4H1mfpqZHwNwOhEt8N5f0djY+FsiGiIiw5l5T2Y+XVXT9fX18xsaGvL9+/d/EwCampp2JatoETP/gpkHeO8/mDNnzlAiukpVJzU1Na0PAMVicWsRYVVdMHjw4Dbn3AxV3aK+vn4RgBjAQLLcExDRa9776wH0SafTY/FPDCIatWjRou8FnakRXLvcvKwd/7OxtnLRxYjj+BAAFyZJcmRnNXGH53xQU1OzY/UGFcfxHQAei6LozTiOb2fmmbAS+13MXKxUKj9Jp9OLvfcHkpVu56tlXfwgzS8ong8DcAgRkao+ValUHqkG7vyjUfWjw5wKQ4moAnN0rFLVCQHLu5n3fiSZt39LERlKRsj8WFX/4pyb5pxr6Cg27TiamprWF5GPACx7Pe2/nZjVHTo/Z12hygWr3P01wI/Veqgef8/Q8GrJlimYP/+QTCZzTKVSaSaiC0JpeGIQfu0Ba2WMntqNJr+Q8j9pI3MdMEh3rpA/qEwLWLEBTBhZ5S4QbDGjqtoM263NhXEhZgDYXFU3U9WRzHxIKpWKhw0btpA6qehDy+wIAEcRkb+yW2XTbxwN6vx+U4Bc0cJJbzDUxKEZ2EQ9m5nXIxPYJjA0eT8AUNVuYWLYgIiaReTpKIpOKxaLG7NlfhQAkHNuvlpq5kKYI2QurAXTysz9YHju3motnoGq+gdm/hZAvRoD4WPY4qOdLDX1WTWt0DVqoLDDmHmT5cuXt9bV1R1PRD9TS/EEhZj2cLzJZ07rbqqV3mu6/n66iiuR8BJYW6ofgBNUVQEcA2AQgC1gHZA2GJyrMZ/P/1RVuVQqfQor2yfhdcflcrknGxoajnLO3QtgqqrWqer9VWpugCF9ExZU36jqy2Tl/G1C1aOWiD4D8FE+nz85vA8qlUofZjKZfark1DiOZ86ePXtMZ/thsVg8gYhGdU4uLhaLE4loNBEdAOARtRyUt6gDx6RYLD5CzFvNJtrqiFzu2ziOrwfwEzWw2VIRWcjMB8MWVBQWhETmGPpqWlq6P16jXQaXHVZm7FSGJ6KPVPXtUPXKENGXlUrl1HQ6/TwAzmQye3amwwZnyBRV/SuM3HkdrOqwijtAucJzBzvn/qRmMd6cTJviyKID+qrqrcy8rogkhULhzsbGxsO89/UwyN4hRHRKPp9vCBbP6r3O9+7dOz9w4MDVGIA4jh+AJQcfSET3wlD1d6jqZYVC4aM4jmdFUTSqWCxuC2BKKpXaeOTIkQtmzpy5i3NuMhEdGUXRE/gvRhzHAwA8EEXR3tXH1kKz/m/G2sXFGkapVKpX1ftF5Kz6+vofQFjiOH5QRK6tr68vTZ8+PZ3NZj+aPXv26BEjRhwA4GhmPkVEnoFBZlrVkMyxql4V8jJ2ULMYDiCi69Pp9LvB+nZIKF8+A1us/Jc22a5GEFWNJqIfqaU1Dg+l5nZVXaqqbzPzE6lUatLw4cObAzTsACIaD3Nq3NJVtgpgjpHwvLkAVp1V5+9U4NcKjMgCmk+49eAylZJFS3Zcd9119xWLUl4fpjQfS+ZG2DAcTyXcTJeTuTiGh8mgDZaBsUJVrykUCncBwAcNDefNyfLAssrgXEL79FCAiDyAu8j6t/OjKDo75LS8BbNUXqyqh6rpGjgsqoawxTynVXV9Zp6uZldFuMGniMiLQahqAPQoE/jc7skArOF7s0s7PXZIGx0KoBqdPZFMTLgBgPvS6fRrwVl0ZqhwdCOiFjL7ZC9Yq2sxgC+rxwkgKyJlAH8ioruZeQvv/amw1siGMPHr3bCwp68BDE2lUkO997uo6nCYTuI3sLbA+TBk+itk9sYKzC66RC15cgyAlWGSmkTWaz9RTRsgRLSkmbTHJbW+bk2tsCtWOu3r9QsAn5DF3n8nIgMp6HVgGR7LUqnUFkmS/JGZr606teI4/kSt/y/h9ZqamprGhp79dQD2ZuYGEfkK5ih4SlV3YeatYVHstWriwS0B3AmgT3t7++2ZTGYSgM3CovIZAI+FSax/FEW/Da99NzPf1Rn9HhYir8AE3+9UH4vjeB4ZVvxmAJc553boVGa/WFUvTJJkaDabXVdEziGiPWAi8DqYdqma1OpgVWTHzKkg3O6mRFNv7+b7z3Ga7/gl3EDw4fktXO8MIT48iqJvisXiI0Q0WkTuYOZLYdbfvkRUyefzt3U+T8ViMSKiu2GW9VUAzvPez+0M5aqvr18Zx/FMVW0joi1gQu8Xwn2sGN7rdgCOjqLojFKp9KyIbMLML7e1tV265ZZb+oBQvwnGfekP4NAo+j70KnzO7wPIe+/Hjho1qrFYLEYAbgq00EnMfCyAzUTkrwBG5fP5T0ul0goiWsnMhX+UUl0dYfEzslAo/LrDZ3EjEb31z+Q5rR3//Fi7uPgHI0zQT8LQ1d+DrRSLxYuIaH4URY+HdL2dReQmZn4ethu4D8DFURRN6vA7exDRBFi42ARV/TZM0qfB/OSvAji/8xfvvzrGKuyHLPshB1PLfwWgGr7VpKoHE1EP7/1+RPQ3NbV7K8wFMBnAC9lsdlLoQY8AcCqAnVT1sWw2e0+HHd5JanbDdZmZ1HJWTpw/f37N0paWu2tMKFjPloDZTUReYeYD8vn8ucVicV9mfl5EHiQLjnqBmX+ppk9I6d81Cx62818J65v3ZOYe3vtuZCp2JYNjldm4EQUReZ6Zz/fej61UKvOy2eyrqnqFiCxMpVKPq+pdAM5Op9Ontbe3O+fc70XkVSLKich2FMSWsMkYai2Kiqp6NdtmslRl7hU9dZ81nYsNBVddtNIRgLNh+pJpsF3pYCIaGxYQq2ATrITJZQPYxPh0aEGcDxMYpkRkDhFdQUSjVPVUmF00E35/cpIkx44ePfq7YrHYxzn3jIjsAODlKIr2D4r4S5j5+iCiq1XTWhxHRFcDuFdNOEsIVlhVneic+1ot12OUqvYnS7n8FVny6xUABj3cTfx7Kf2B0LAO9NJvVqzWuGygqt1V1TNzjVqbY4paYN7nqtqHiDYioke8958T0TBmPgxW4epBRAer6gRV7aGqx7a0tMyqq6t7J0yIpzPz2yFFtE7N8TM+SZIBRPSAGnTtfefcjfl8/qDJkyfX9O/f/2tmvkNEFsMW8CkiGpTJZEYPGzZsSbFYPBrAwKqtseNoamoa6r1/uFwubz9mzJhKCOl6IGwMbhORrb33B3vvV3br1m1zEbmMiPZSw823BTfJAAAg07akVTVRa22kQxWgVlWHqLEgvnbO9VHVeQAWN6ZEiimtezdNLyrp1Dc3HjUtjuMpqrodER0dsPqz0un0L9rb229j5mKoPJ3IzLfm8/mdurpe4zg+E4b9Px7A1lEUTQdWB5idAGA8LFl3dzJhbBsz35nP578nVg3R7S8mSfKIc+4G59yOI0aMmBnH8WEALnbOvSciW8HaQR9EUXRv52OZPn16r5qamldVdSMi+qgatBbH8Z+J6BEAuxLRm6o6RkSOJ6PajoVZ1a8noi86soXWNIrF4o2q+kI1v2ktNOv/bqxdXPwXI5QQHyKij3O53MXVnXypVNofwNh8Pn9ZsVh8hJlvVNXfhh3hL1T1tEKh8G7nvzd9+vRemUzmkrCoAEx4dnO5XF6SzWaPh32h3xCR31W5FkCXi4hqgNQidFhEJEkysysnSLFYvAxWhp4PS/e8PkzOB4UbfrOq1pHZL591zk1Mp9PLWltbx1Gws3rvZzHzvmpgqoiI/lNVx6bT6R9XKpXHAdwXRdG9cRyfB3MwbKUW3jQyiqKTp0+f3iuEKC1XE+39LJ/Pv1sqlQ5X1XuI6EuYe0GJKBtEkKJGMe0F282XReTTMOkNU/1eJLVTaw30hi1MvoHZKFcBGMpmiUxgQsZNYeFdS8i4FBsBGArgDbIckU2IqFFEXnXOvV1bW/vZ0paWDS/q4d9NCOt0da38fBWv2kz4dRHZg4jKzDzJe383gHlLly79sm/fvn2ZuaQG0JoMu2H+UlV3YObEe9+TDC2uMMx3D5iyf2O10LF2mHYlpSYOPeVK594dlKnsukOFL9vE07ZO9aRCoXBfiI5/yzn3uqoeDWujtIcF02bhkFOw9gWHzyhLRI1EdJv3vhbAId26dTto6NCh5WKxOISZDwAwwQM9JqW9fzOjbiWBaxWyQ4X93hV+LiO6FaxKVU0srQD4fPbs2fmRI0f+VFU3jKLol6VS6ShY22YGgKvUWmERWdR7CsBEmC7mWBFZnEqllohIBsbNmEVEO8IWgo8w8/0icg2AUcx8uYgcBuBGGCFyFGBtDwCfE9Hr+Xz+1sbGxkEi8ieyatfHsByhAwqFwmpdR8cRx/ElALBkyZLr+vfvP1lVt3LOfaSqd6jqr8iqb7VqfBAHq1B8Q+YE6q5mgf4UwPVJkrwwevTo7+I4Pk8tu+g4NZJpMxuS3BHRDDJLbD/YpDw7n8//qXo8DQ0N+zjnXhKR+1T1OiK6yjl3u6o+qKrnhNe+Sc0SfEahUJjT+T2FasHzaq6w9iiKNqr+rFgsbgngQrIgRoTr50IiGtc5jyO0YhuY+XlVXaGqfyELaisy8xXe+zthC8udCoXCD+BigRvysqre1L1798mrVq2aS0QP5PP5cwOq/S/MfJNaVWsnZp4vIvsC2DBJkhHOuZ4AziwUCsd3de46ncd3mXnPKodoLTTr/26sXVz8EyN8CS8HMKK5ufn47bbbrrVYLA5ZxXzjG9n28fu3pScBeFZEBjDzdqp6TEctxTvvvNOtZ8+ee6gljg4H8JL3/hFmHsTMl6nq5977q0aNGvVJAPmcRERVAud3sJvtl0TUCKBJRBrXBLla0yiVShcA+DKfzz8WEkYfBfBOPp+f8OSTT3I1PVVV9yPjEVT73lNhsez9iOh6mGbgK+/9vqlUagqst9pfVc9Np9MzvPd91ISBdzLzjUmS/JItd+EBNrLkuao6nZm/VdUqwvxbWOugFqbHILKcAYEtGCpkff8BoeqyUFVbiGgsWZ+aYe2EdcP/02r2xz6wCS6BUQLrVLWvqh4H4JJCobBV9fzU1dVtoKp3EVEewNvhxr45LLmxDwwvsPSvGW2emJUqirzjVfLyH5pTM8JkcQwMXvVBxz5uU1PTNt77l0XkbOfcnaFycWqSJCvCxEDOuY9VdZGq7g9boAmsVfEYgIsAHE5EPyOiT2Y4OeDhrLSVGXUA0F1J9qjQh+dsXtgGWJ3c2Q9mk92EiLoDaBUDegGmbUhUdXa5XN5lyy23bGtsbPyxqv4WwPpkePLuqro7TNDbi5k/I6ItATznvb9oFdDQ3Ras+6sqswWuqVrF57TweR7knHtORHaRgKwulUrPwuLUd2Dmn+ZyuVnFYvFlMmFlipnHq+qmqnoYTGfSHI4FZBW3VpjFcp5z7loRuTQIcA8HsAsZ/8E553YdOXLkgjiOp2QymUPL5fI9RPRKFEW3NzQ0rMvME9mgaYcDuICIXgLw57a2tleqdNzGxsYeIrILgHthIsnqdapkpEknIrNgGh+QId+XEtHccP0sIKJHq4uDYrE4RER+7Jy7DEBPVa0455Z77ycz844AapMkud05t6+I3EtE45k5C+CifD7/PLAa+NRO1mK8Klyj47LZ7JHlcvlRtVboEGZ+SkQmrQn5XSqVxqnqTWSVwGeIaIaq/ixUlzaBVVSXqAXSbQ1znVwdRdFNABDH8clkycmrYFbqgUT0iYhcVCgU5hWLxYNgELYRzrl9q4Fu1RHex+MAXqpWNIIrLhaRC+vr62+P4/j6hYzmLxz2qFEZ3k/o6oHKv1PVKVEU7aam15mRz+dH0z9w4oWN4utRFG3b4bU/qqmp2WktNOtfP9YuLv4bI47jkwAce0O35MbPU3QZAaNFVQcoLRnXSt9u5qmNiA6NouizThHmw2C5Ho8VCoU5VZ4EzFGQIyPk7QibCGeSUQ+b1DgK+8IEe7dWPeP/w2M/U1VbCoXCfQAwefLkHuuss841ADZNkuQ36XQaqtoHdpPaVC10agRs0hfYTbC9uqsG0DPcwAnWgqnqJKoW041UdbBz7r2K+ONYcbJzbhMR+bVzblSSJKucc93CjnNX2I17T7I+/z5EpGL5KMeoQagugcV/v66qy51zQ1V1B9hipw9ZO6ZCRoX8GgBUdT4zF8VYEr1gwtZtYCyIJBxnRU3v8QUZIGgvEQEzF4no4uAMElXlpqamEd777Ytp/c1rGe2z0BHXqK4YmdCnc2v67nT63LmV/v37/1XN3TCbiMbl8/laMlEplUqlj2EBX8PIgE8vAtg/LHraAdSQCS4XqIVDna5m/xugqlk18enHqnpvY0rH3dFNtkWn7zAB2K5Vf3lkxe0AYC8yC+oqtcj59UVkhff+llQqdZeq3kuGKf8QwAWzZ89uzOfzF3vvTyVrEXnYouoBGIlxTj6fv6hUKj0pIgUiWkpEo8NiAkRUA6tULIRVgr4CkKRSqZOSJPk1bOK5wnv/iXNuEoDb2traLu0wiU8UkQPCOVnGzPcT0Qve+x0AbEREI4loU1XdEFbZKIQJfjMync5kMT7D57A8kF+QheztBquOXO+c+zhYkZ8vFAp3xXH8Z1W9t729/Z1sNnuvWLrutrDYcITPD2r6lGpWzSoyMubhAG4iol+oaoGZ54rIe0TUjZkfEZErw3t5BMA3bKFfW4XPtSqybgVwMRGdraoriOhlETmCmQcQ0dswUew2MBT3pqo6nIiuz+VyL5RKpYXhe/kGEfUXkfPq6+vfiuP4CAB7R1F0UtCOvUtEe3bkeHS4L/wuvJ8TYej3e7z3V6RSqbPUwHCzVfWP7e3tE7PZ7HRmvs17fwZZ6zIL4CURecQ594CIDGHmnauW0pAw/RasRfhEV4LLUqn0B1X9WxRFV3d8fObMmdunUqlJRHTIhbWVLctME5JA502DdPd2LPlxmRf26NFjq8GDB7fFcfw4M0/I5XJNnV+jOhobG3fz3u9fKBTOCe/9CABj1kKz/m/G2sXFf3Nc+2nD6a9m9BZRfA9dzIrKVonb65gy1YUFxShVnUKmIG8VkWoI0lCYcO/zjpWIurq6xlWrVo0J/drvVPXyqq8/hKH9ArYjey5Jkhc7LgbEgqe6wRYGfcgAT6v/DZu0+qv1c5eSOSKqC4HeADZj5oki8g0sMGmZiLQyc5v3nojoJiJqJqLBIvIFjAw5SK1v3apmozuzvb19YnWiOFyfcGM/HV6alJE6D2xYA1q5TVlXHJCkerQuXzGgR48eZxHR0ap6PxGtRxbO1F1Vv1LVbs65ySKyk6pOAjAFwFXMPFVV62GR6GnYTmm5iGweRIl9Ydf0UtjEVhv+rWSCwhoR8QA2YGYB8GtY+2SgmlZl/VA1GaRGIyw75342YsSIWdTBRRLSHn2SJCuIqIGZDxaRFiKa771vcs6Nf6pGHv+C8dMFjJVtpI27VuiLQ8puX6gWAdxBFvj0jZrLIAVAxXgUCwH0rVQqR2yxxRavA0Cgi56ZSqXOTpLkYADH3VXj2+I0uoyhjiqonNLmvgrvvWfIktA4jj/w3t/hnDsDNvl+pwYqGgGDlg2GaV5+3tra+syYMWMq8+bNG9DS0vJXZu6pqm/C2jSXwLQ6C1V1CJnwdTkMuLR+TU3NsLa2tk/C9TUYwGK1lsFPmfkcAKNV9ZlCoXB0oKkeAOCQFtLR7YraPooiEfkoisaqiSdPIaLficjvmXl/MrHsCCKaq5ake7SIXKeqYOaJsJbXEDVL8EZkq7sWIpoU2CBERL9WC1wboNYmWhXek4jIdDIXxrdkepf9iGiWc+4K7/1dsN18CUaT/B0sSO7jnyojigAAIABJREFUHj16HNHS0vIugBsAVKsS34YFzhvhOhxHRK9ms9kb2tra5qrqeAArnXM7ish+aoFyD7W3t7+byWROIKIzYAF0ZVV9q1wu353NZser6tapVOr/sffmcVJV19rws9auqp5oZhQQEUGZuk4BgqiIA6hJnKLROKHRqDGawcQ4xajxOg8xzolGE41jNM7zFBVUxAmBrtPVDaIoKIoyQw/VXWev9f2xdmkHWm9yc2/e974f6x/4dVWd2uecXWevvdYzrPDe70NmTndeNpu9ttMcfQTAjVEU/a1QKNwpIhOI6BfZbPa58nuCrsszoUrxMUxKfgtVPZVMz+JlmK/IdeH9v3TOtYjIL2F6PvNV9ZtkEt7PqOrUKIrqysdvaGi4LDyjukVRdNSG8zSO4/NhTrUbOZOG75tWSOPWm6ukS+rzfh38wLc6+KlsNntHMCurKY/1K453nnOusa6u7sEwvleI6KhNoln/M7Epufgn4+tMw7bx9OrPW5lgu+m+AfD4MYAPnHOfee9Xichq51ymnBh0kQj0ggEyNw8L3aewBbBIZs3cB7aD+YiIXlLT0Ghj5iJCYuC9b3POFZ1zq733K+rq6jriOD5KVTfL5XJXbzju+vr67YjoT6p6RhnoBJiwmIg8qarvEtHWlZWVBxWLxRGqeg8zd4MxTzYnogoAy9RwAU8S0UU/ri79hAgb7QjGlig5vsjz1cqso2DViBYyrEoC4D/IPD3SIpIOu9ChMGzJbDLlvx6wlgHBys49yJwqZzHzehHZkYziWUnmd/CC9/5v48aNWxMAXNcS0YGqWgrj6Al7WDYGNgIBOCckGKPVcBxE5v76ifd+75AATierMp0RRdGkMg34sQq99MUK7bPhue/eQcWDitRG1m5SItpXRMql9odU9U/M/FMxTYnPU6nU7qNHj14MmAcGmYbJc5lM5vXLKjruWMLav6t5OFhYTm/GGcx8mhp7ZnI4xtUi8lwqlXo0XPNSuJYZGPi0QlX3yeVyq8P7exHRI0T0BxFZCOAOACPIRNsyqtqiqncQ0WQR2ZkML/KwiNzsnNsSVrF7TUR2glWKRoRFsoWZE1gfv35mSuc+WCn7ekIEANWKlkM7nIzvwDgiuhnAbGa+P0mSmQAODr+HZ8gqPG1E9KcVK1b8vl+/ftMAnCIiV8FAr9uR+bd4NTdWWJ6hCgBqXjOfhXt7bSaTebC9vf3WKIqmBMzKqcx8kPf+GWaeAiAqzzUiOlRELoD58swSkcEwT5WRMEXTVlX9bW1t7fXr16+fDEuO6733v87lciviOP4rEe0QRdHghoaGc2GJ8s6qOrypqWm7coVy4cKFFe3t7a/D9DryMEOxW0ql0gMVFRVnicjJRNRRLBa7dTY5DGD0p0RksnNuLEzye5CI/IGIkpC0rAKwTRRFObXWwrMwpk0tTHmzMYqic8vHDCqbM5n5QxFZBcAR0cWwZ9UVAFIiMnnMmDELyiBYVc0456bW1dWt6jxH8/n8D5l5n8bGxoO/rhp7zPv18WKn2a5ey4CeuWo9981mszs0NTUN9t7/vrMo3oYRx/Fz6XT62JEjR34SGC4nR1F0xFe9f1P8a7EpufgnY7fF894kxcSuXqsAZv52vRsAQ/+vgO3cWgA0M3OziKyBPURawr+rw46qJfy7pqOjo7n8kGhoaNhZRM4k206dP2bMmDmAmadlMpkDyXrvn3nvrx4zZswbXzfuIKQ1oky92zDmzJnTL5PJ3Csif8vlcleolfHvgslI962trf1OW1vblt77ewBcFkXRI/X19TXOubmwB1+RzH66TxHa56xaqfVfIdJ2dov7dICgO4xK58Ozvh32ZYOcc2vEjOFavPd/ZOZDAbwC00g4J4qiR8J7uVAovA/zXakiE5U6FNbOaWfmE733rUQ0GVZa7kFmNz5cDTT3CoCj1DQfYudcnYiMJ6LRMLDhGFVtYub+InKlc+59ABO99weTgSur1XQUaojoJgBN75FfcF2NvqK2YP9dkAK/buF7+wp2ZGZVk9f+qxjduQUA8vn8M+l0+vIkSb6nqtOY+S4ielPNFGwsrJzuL6/2Hy912KWr6ztUaPEvWvgdAN8mosaampod2traNk+S5HQy5dO+9CU9+mhYC6BCVYeXra4LhUJ/VX3Ue/+Sc24yDPdQExLhFiJaq9YKuU+NCdIniqLT8/n8e7D2QRUzLxUREpG1zNwfQCMRTVJTykwALF/OwEU1vo/iS98QwB5MR7fRwgkJT2tvb2+sqKh4KiTTY2Gtmp0BPKgmHHYgzI58dRjbAASbcFXdG6Zt0itUtq5i5kEiMg7m6votIlpGZtq1HCY7/TkZu6NERh9/2jl3T5IkQ4joLgBPqLGv+sOqNUXY/U6rYW689/74VColaviVVd77X3ayKr+Gmder6t5RFG0fx/HDqjovVFFKURSd0vlaxHE8o6am5rDm5ubvk+F5PlTVvt7736VSqbtU1RNRA4DbKysr/9BJe+ckAMOiKDojmLc9RkQ/I6JZ3vsTUqlUVkT2iKLoDMDo90T0TkiuH89msweFZIwCtuLkkFRWAFiXzWbH0JemcbNEZCAzLwi/5f6w5+CVuVzumfK5hGfGd1X1JFU9C7aZGsTmz7MZm2ZG77D5qj291i/uIJrU1TwH6PUb1vN8EbknyIbPrays3LErp+fQin47l8ttF+7BA86539bV1b3Z9bE3xb8aGzlMbor/JJRWGBB+46gWanfO7fKP8K3/kQg90gPy+fxORPQfcRwTgAsDZewBAA/k8/nxzPzzOI4v16/BZYhIG77CAwQAtttuu+WFQmEfIvp9HMd3NzQ0rFRjj1Q2NzcfyMy7qeolEuTEASAA8x4Wkf7MPF1EGgDs+WkKh3jbAXUZHzttHyDUDAOrfkpEzWp93x5kJXYC8ImaMuWPYJLCKwDMUNWLgubBi4VCYY1a/30VM/dQo7G9qkbpaxSRu8lKxosANInIG8y8BYDdyPw/viEis4joPu/9swDegFWd3gHwDqy8Ps17/zozn+e9X0rWwqlS1YVE1ECmLtoWHrp7FB0fq/AbJRYAoAQsY53aV6iPGgj13bCLP7y+vr5BVbcH0M97P01NsOhzETmGiA4lQ8wfF6pSO32nXS7+XbWWRcP+LnbooAUw8bIOAIObm5tXkAEP7wHQm5kfEJEVAI4jovlqzKM0ET1QX19/jPfeicgTZAJs26nhBNIAVhLRydls9s5CobCDiPxMVd8hE90aFcfxR2q4gTQRPS0ixwKoZubVZN42j4vIDGZOpVKp+5MkOe3ljBy+YWIB2C/syUotjV+vO1RUVPwV1sI5AMBwMmDq3ar6TVhr61ayluN3YboNC9n8WUYSUYP3/rvh/O4gogNKpdJhlZWVn5ZKpeNgGhM5EakE4JnZE1E3Vb2ETDdkFBGN9d5/h4iGw3AGh4RkpYWZfy8iu8HwLesBrPPe/8o5d6qI9ARwalkPAgDy+fypzLwZM/9GRMrS+NuEZLUyVAA2jNqhQ4d+BuCKQqHwRxH5GYCDU6nUzTDdCXLOHe+9/3axWHwjjuPb169ff0s2m705juPX4zh+GNb+HJgkyVbOuT+StSR7wlofmD17dg8ReYqZ58NaWVki0sbGxgFxHP+JTJ8CajoiUwBQY2PjEYVCoVlEtiKiPs45ENEi7/3OFJhczBzFcVwM8ydFVpGsIaJ1zHy/qhbVGCYrYaJzi8P9GyYi2w0V122+61KYF4C+H1pllwF4EcCstra2HWAbkb+Lurq6nIjEwBeA0X6bEov/2dhUufgnY8ri+qNV9Y6uXjusnV+c3EE7ENFiVb2isrLy/q6y6P9qFAqFsap6tqr2JKJzysApwBDozPxD3UAAp9Nnp4rI3uVdytdFHMd3w0SKCsy8l/d+GhEdLiKHBwneLyKfz+9Gpji6Joqi4wFg6qI5Wwnzh191/GPb+JVxJRzrnOvuvf8Cu0JE16tZMv9KrfUyTUS2FpGlzFxQ1TsBdDjnRor5FDQDGB8eyD8FcDWsF34CgDnMPELNobQBwIRQkfgERks9U0QOUtV+ZOC07cLxXhHTl1gC65GPIRM/ekRVjwil9AxMf2NLItpOTa+AAdDHrB1X1EjFV537Ka1c2kY4JSIlZi6qGu1WjVpKRLQaZlk9X03cqJuI7BP+3ousP76IiFJvOdn7oUpxLWQVoirA71+k9l1KTGoCXR7WelgaEoUBsMXxfdiimoaxQhI18PByWNvNwei63WC01wS2+9+Q4jyKiBaomYz1UHMSZZgIVlltsiUcex2MRjsUwFIKjKRza+XdtehaO6S7ouXi9ZxX1XoRucI5tzszX6kmdjYPpkDboqr3EtE7zDxbzODtEgAPO+deE5G7VfWuFStWnNW3b9/XROT4sKg9wWbatS0RrVTVXWE5zQwimuO9v5iIdgogzJ1hGKUdwucmicgMIjqKmV8XkSEwbEdruFYpAHeXSqVfd1bVzefzhxDRD5l5X+99BODEdDr9q+AguhkA3xXjIY7j2VEUTdjgb39V1W5hfJlUKvVsAJjCe//D8JvsUNVPiGjzjo6O/dPp9A3Nzc0H1dbW9oWJWu1GRCcDqBGRC8hatEVmXi3mtLsCJsSFUBUqg3z7w6qvjgyf1YcM+OrIqpf9yFpuT4fzGgqj+r4C4Ox0Or3vyJEjPyify6xZs6q6deu2s3PuIBHZL8y7z4no5sur/exPWGfIxlXQBEq7zNh6zBtxHD8H4JSQJI/P5XK/3nAuBUB7ey6XuyWfz19NRDM3iWb9z8amysU/GdMH5+7a/cP60SCchi+vXzugF/1oRO6ShQsXdm9ra/s5M19RLBavbWhoeImIrqurq5v5r353UDI8NPQ+z43juCcz/7quru7NUM4+a+HChZcWi8Vjmfn1OI6nM/NVdXV1S7z3X1u5KEfQ74hU9QMA1SJyHzMvLRaL3+zc0y3HypUrX+vbt+/1+FJ8iuM43vaibrJ6OWMj2+keSsh53pEZ9yVJ8r0xY8YsAIB58+YNT6VSa6MoeiCO4woyg7QhqvrhqlWrJvbt2/cnAC4GcE5dXd3vPvroo1vXrFnzWahMjIWZVmWjKLq4vr5+PTMfUFdXd3hDQ8PT4UFyHgA0NTVF3vtnReR4tVbOFsy8f6FQiEeNGvVnAFs55zZT1f1g3haLYODbg8kYCbuFB+dAMpYHACwgoukdHR0Xbl6ZGlUJerSIjS23axSylSdS6HIygOgqAGkRqWHmNhGpVdMnGCwidWGRWUZEbwEYISKPO+eaAUz13q/cXvn8UW1u9WcqZ7URzd9WaFCFooKZnxeRo2ELehomT70XEfUXkQ+ZuY+qvkFmGPUYDGS8V9ixr1bVXqES1Kqqe+ZyuZe/Yq5cCNMSSanqvmF+9YHRhwnW+ngBwFTYYjQCtoDPV9WPACzrEBkC7nqP01uomohyRLSNc26aGnC4nYguUNVjRGQEM09n5ts6gfKeKBQKz4nIj7z3l3nvb2PmA/v27bs9gGFEdB8syflukiSX9OjR4+iWlpbzYTiDscy8rfd+D+fcd4noEe/987W1tee3trZOEpEHAWRV9YBcLpeP43gnNUzV9mp6LJ8D+BuZuuuUTCbzfj6f92RGdouYeZeOjo5Dxo0bV2psbNxCRJYmSTKejMpbCWDWholF55g1a1ZV7969eyVJcqKI+ABerQWwS5Ike6rqx0T0OQyYuTYccyKAJJPJvAKge21t7auwdq2HJa6/YeYqIupGhiV5T1VrA6V4AIClIpInohVkNPBPYYDWnYhooKruSUR/YOafe++nwmTym0XkR7lc7hXAhKo6Ojp+QUR/BPBAe3t7qYxPIqJDYDgS771f7Zy7tr29/a5yUpbP54+cncGMOyt1izB/UKO0qpnoqJe3zr0BAGpU2p9VVVX9slgsdulGC2Bn59yFAXM1tamp6T/dZG2Kfy02VS7+i7Hn4vzQBDIJQklKSrNeGDbh7xDHapiFPcmkp0fCAF5/cc796b8LnRwkfM+A+TH8RxRFMzp9PwfNgjMBrCGiB1V113J1oasoFAoTvfd3EdG6ioqKo9vb2+9Qsx2/LJvN/umrPhfH8UMiMoiIXiKzSH7zkVTHUy9U8pUEDC+/r1rRdkKbk+HK3xKRx2CiTW2q+jhMo+LmKIqeDEDSubCd9opsNjuiXKL13l8BoCcRkaqOYuZD1ISDBhLR2mKxOBZAa0VFxewoisYELYPnwm7pk8BOuIrNCGwHETkTwE6wh+0KMnBnbWiNLINVKQbA9EnaVbVHWAAWqurPyTj+swH0jqLo/EKh0P9VTq54rFK/10Zf/r4qQHpc0WldglVq8trvh4rKO2qMjSuI6A9qbZ7xMApwAmAtEfXy3g9g5p5kfhntsNK1gyV1n8Ks6d8SkXuY+dKQKHxIRIvDte0FYFBYKMaGqkYLjDrKMDt2FyopS5IkaWHmjwBMAwDn3MAwhoEiMpaIJhLRSDV11WVkra1KmNX5OgAZESmGMns/EXmHiOYR0c7hHM/J5XLPnL0wPnRWKvkraONH0WFF1sklWqKq7wHoz8xNau6wrTDNk7VqNMxt6+rqDiwvzKG/PlZVDyai48iMwF4lw3sclMvlnsnn870AvEqGz1garkOazCa+Vc00b18ADzHz9ar6EAwgOr6uru49AMjn8zPIPD1ARItaW1t32mGHHVZ2Pod33nknl06nzySiQ2FVsxVEVE3G3lorIm1E5MIYn4ZVzzqDu6tgPjgLiag1nONIEXmeiIao6nIi+iasIlUMFaO1zrnpSZJ4AD2ZeVtVHRau2yoAeRgupo+IbM3MPcLfTxQz0juSiF4SU679PIqijXRd4jh+DcB87/1TzrmzoiiaWCgUpqnqTQBuymazZ5XfG9Q3n0+S5K/MvCeM9dauquuYeZmq/kVE7u2iKhoR0Z/a29unTJgwoXWvJXMG7p9UDNu92T/LzD/KZrN3An/vFdPR0fFI2Fis2mC89dlsdlxDQ8MvACRfxyrZFP89sSm5+DdEaFmcrCYI1K6qHzPzbcVi8cF/Rgjrq6K+vj7LzGcC2CpwvV/a4PvHAziPiHYmolOXL1/+lw0t5QPd9TkiWqemMHo1M59WU1Pz+vr16//AzO3FYvGnnasXoUoxlYguDw+vR5qbm38yadKkNgA4pFDIfF5T2pcIwyG0+Jxm7tjcxKB2cs6tFZG/eu+vcM79HCbl+wmA2Wr005Ngu+ItnXMHlh/oAFAoFK4VkRMAPFtZWTmtra3tdWaeoaoHkrE4DgFwiff+d8zcRkT7qer3yFQxt4Px+ReHhXeRiBxIRDepAeN2CAtGNYArRaSViL6pqv2ZeUtV7UZE82EslRJst7lYTWgqraqDiWjtetYVb6Uw4n2WJX3ArXt18Mjuoh/DwG7pysrKndra2rZl5row3rEwCu1yGPDxnSRJPkqn0yQiUSjNT4IlAQzbma5k5o9FZKiITGfmXqo6IlQmuqvq8uWOaj92urav0GZbKq2AFzDzADV9hRUA2ohouBpNWcnAie/BWBCbq+pA2GK0lpl7iMiWAJaxWcXfr8Zw+YWq/gZAXs2HZHtYgnEBEQ0govtE5CVYAnQ3GZPnKBi7Ai+6ZNWTVbRlCea2yoDu0EEfHdHOVVD9A4CDYAnMdkR0Ql1d3cNxHPckoseJqDFUTZphZXlV1QwzvyUiDyZJ8nwqlXoHpsbaPVQV1oZk1KmZwb0YRdEp8+bN24JNVGsgEf2+urr66paWlkNF5GwiGl4qlc6urq6+U1X7iMiPROQkmIz7Z865lSJST9Ya6cz+qoW1bz4SkRZmrlHVvrCW23uq2l+thdUN1q6qIWNLfQLzmCl5779JRM+pav8wF98ja1WMhoFOU2RU9BvV8AvfAjDUOVcvIic3NTUVRo0aNY6I7kpUBi929GBGvAxStw0ZVmg4ES0XkX5EtJyZ96mrq3svjuPDAPxZVS/cUBY9sM92JaIIwIvZbPbXhULhDVXNduvWrc/WW29dDNWJvYnogpBMFPClxsw8WFutEsCVG/oYBeGy6QCOLlPyy9HQ0DBFVZ9KkmTPcePGzQrPuB8SUb9wPvWdWx7BmOz6pqam72wSzfr3xabk4t8YQVjrUBE5PexWUrAe713/HW2TQqFQJ8ZBH6yqF+dyuRfKrzU2Nm4lIjcDmKeqe6nq/d77m8eNG7dmwYIFfUul0msi0hF2acclSXJEZ0fY8OM9HMAR3vsUMx9FREcQ0Zve+/uJ6BIiaoii6Acbj+yL8X3Le38rES0rlUrfSqVSk5j5WFV9Sw381Q3m+7BCVXNkrYNEVa+JouhiItL6+vodmfk6NS2M20Xk8LBozFAD8I2CAePSzLwGwExVbQQwUlVbnHMF731LLpe7udO4xonIFVEUfSM8EA9wzp0kIlvDQKdvEtED3vvtmPkEIjpXRDqI6AQRyTIzke28X/PeX9e9e/en1q1bdxEzTw0LwhxVbSRzH/2JiPwliqLewBe7rlkADo2i6KPOMu8whssEWEJRVNWYiIYRUYOaS+qC8J7+4ZwzzPyJqg5ax3j2zgq/04LUl62pAULJ99vYbRFcx9RaF2V6ZglWpSl9RnpDPq3vb5dwqo9gZwD7A3iLiK4ioufKrp/Tp09P9e3b9zFVHe2cOyhJkhIzXw+rBBVSqdSxSZI8CgMNTg3jnAtTsnxPzcH0PFX9832udNWsKh65U0K7fbPER/f2+JmqXkxEtcw8ynu/K4DvM/NqVZ2oqg/DGCFXEtE6GJDzejYhqz4AxhPR8AAe3JIMs9JbRJhNYruZiM4TkRKZvH21iLwGc+Nsh+EEPiDDEmzBzGkRWavGMirjbqCqM2HVpW0B/ElVZ5Zp4Ol0uqWlpeVvwcp7sX6pSzOAiE4Mt2UrWKKxRq3F0owg7gZLVgcQ0TAAy0OyNw+WuOVg7J2J6XR6bZIkKwCcG0XRJcAXG44/EFGkqrdXVlae+YC0PvpqRvdoI6QBcy4+vEjJNgmWkbFjPs1kMjt2dlEtFApPisheNTU1gwOoFIAx1ioqKmbDNGOOVvOjuRCWODwKYA8Yk2a4iLSQKew+mk6nHxg5cuQn5eMEyupPVXUHALeV3W7z+fwDRPTYhp5Oncb1fe/977z32XHjxn0Y3HHfYuZfiMghnbUzgm/MILL20ybRrH9TbEou/g9FELA5hczJcBXMrOlx59yfy9oG/9WI43gYmXX5CCK6KpvNPhHH8eaqensul9s79B2PA3A8rDS8uxqg8DEiGuy9P3ZDf5JQpTiTiM4C8JGq3tDc3HxXuUoRx/E7AFzZy6GraGxsPNB7fzWAEwGcw8zf8N5fBUsoho8ZM6Yl8PofVev3DiIihIcTwbQutg0731o1CuQ6IopEZC0RLSGi6iRJDnfO7aGqvyWis5uamn53yCGHaKFQeBJAq/f+pg30POpE5B4yc6b5RPRAqVR63DnXm4geATALRsXcnZnJe190zs0Wkc1hrZMJRLRMRH7EzHuKyO5kstcpAMvb29tHZDKZJ4joEzIF0iNgLpt3x3F8mKruWFYNDGM5BMCesN32kwHFXwHgNudch6qmRCRLpkb6Aay9UQPbJfcDUHFblWBuauP2fQVo1WXruXfaSugfq2ov59zDInLQWkbve9MJNaTtvaTABOFVhxX50wrR/mGBeFxE3ldVCWJcb6nqSGY+J5jinQxr1aQAvEgGQB2hqm8w8zFENLqurq65UChMFpGb1HxWZhDRDiLyvKpOSqVS96jqDu+xTGpyUvFshV5zcqs7fKTwH0RkFBHtSkRbqGqVqjYzc6Kqy5n5c+89yPxCBpAJrbWQARXbw/XJwFQzE7LW0MtkTJadYc7BNydJclRYbHviSzr5OrJ2Roeq7kam2qqqehszr1WjM78La1GV2xnbquqnzFyvhlVYDaOffxIqjeeq6uVhnj8fzu1VZn6gvNmor6/fhYgOUtUKZt5erQ01C8a82FGN+upgOKl1MDDzoubm5sZJkya1zZ07d/dUKvWnd9LocXul77vhfEgr8Ms2/qRfSfcH0IuZLxWRg8u+RkEyezGA5Ru2R+rr689xzp0ZEqw9AawiY8zMEBOEm6imzXFCmeL8VRHalz9W1e8S0cdEtDibzZ74dZ8JIl0nrl27dqvJkyevb2houFBVPwTwkyiKvmCrxXF8IxHdo6qXM/ORm0Sz/j2xKbn4PxzBGvwYIjoCJltdC6CdiO7+V9sm9fX1WzvnzlLDfNwI4KTOXhdBL2NO6MmuA/BcNps9hjqpUYZS8VFENI2I3hCRR4noQiK6odzzBIBAD53KzAd91Y+3vr7+cGa+MIqi4cHrZEsielNELgNwvhqNcSyAHxBRDNMuGAjDFsxUYyO8q6o7pVKpt733zwB4jJnHkQlSHUhGgXwjl8tdnc/nXyait2HaBb9KkqQxk8m8R0T7wRQxD4HR6uap6mtkKqHHqMmNTw7lYoW5fD7rvd+fjB0xgqxfvdg594iqHk5EvZMkOWHs2LF/DY6kz8PE0F4ko6v2FpFrieiHRPQCgAnt7e37ZzKZh5n5MiLaW4zS+BlskVpG1v8fiCDJHq7Dm0T0iYgsggHcdnfOPSQivcjaG2PagLW/7OYHKXX9+z6xldvrEqwlormwxe4bSsRX1kiPj3ljM/UU6C/XtaRO9t6fS0S7qhneZUVkPZnRWA2swtOhpqGxRlV/y8zfS5LkIOfc1apaVoEl59wTIrIZgGvVFFp3VdWxZHoh6z2k7S+VuvmbKf07FdztPbcc1YY5JGgiE5dbLabOOg2mteKcc08BeDpJkkfLPfw4js9Q1dMAPM7MzaVS6cJMJnN0wNvUwECmS2G77gEAQEY3boMl/dVEtE6MvrslTHG0BCBDxvSZ6ZxrUdXJ6XR60vDhwz8pFAq3iUg+l8td09U9yOfzc5xzZ3jvzyai4VEUbRkS629o8CAikwLvBeA7zFwlIsen+Qt7AAAgAElEQVRHUfQ4mdrq+UQUZ7PZhxYuXFjR1tZWz8zbAjg/JCnDVDVNJms///RufrcidKeuxjJY6d4zmnkwGWDzQQC/dM4dPnr06IXh+uXUMEhnqvnv7ETmQ3QgmbuxJwNWv0Vmyz5Trd2U/ir1za+KBQsWTC6VSreGZ8GcoOGz4Kven8/nHyWiKJvNbpvP5/sy85MwQb9TyglNHMdvq+rpRHTSJtGsf19sSi7+L4lCoZDx3h9A5pbKMKGc8WQl8DujKHqRvgZJ/nUxd+7cIel0+hxVPYyIjiz3N+M4vk9Vp5L1d++B7X6GM/NNSZIsS6VSx4spD97WuUoR+qF3APi4qanp1EMPPdSHPuglMMnhjUqZ+Xy+lxoA8gdE9Ccy5cs9YMlUI8yL5MawG3umo6PjtvHjx69raGgowMB79SKyLRG9T9bXPpYMyLafqkYwxgKTKUr+EMAeIrILEa0F8DwZLmQbMhAik4k/veKcW++9HwvbueZCZeFeVZ0ZRdFcIpJQTXhcVbciot9069btwnXr1m3jnLtLVa8GcCVsofEwyuoUVZ1DRFOJ6DhVPYaZP/Te15K5TPYlolYRqQ73dDWMkVKvqkvDzvZTEfkkk8l86r3fUkR+W1lZueeG1Ob6+vo9mPlSZj6EiPp672ctgyy9pFaHftV8mFbkZFLCrNYWURFZVV/JL9xW4Q/v6v0M0suaeXaVaD9m7q9GMX1cROaratE5t6uYpkMWxk7xsF1sT3xJIawko3x2J6J5IpLqdL1WMfOpqvosgGmz0trz3krpksnWXemUS1vcalXdE+Z30sTMM4LfxTpV3cY59zIRPSEirap6AoDRZPiKN8N9/igcroKsRz8QgDDzqyLSDcCk5U55CaOjQiBbe1TWsvuxiFwM4FVm/r2qniQir6vqKuecBlzGZjC34Spmrt7QmrxzhErfvbDq4cwoik4ovxYYZ98D8Asi6g2jZl6rqn/otGDOyGQy3y23MBoaGr4pIs8658YFVhlUlRobG4ep6u4/75ac660F01XcN2PI2CMKhcJk7/0ZIWHsz8xHBEO5oUT0ZwC7iEiDc+5pVX0VwA9UdRci6k1EDyVJck4qlRqhqicSUfKfqW9uGIVCobf3/gVVPTiXyy0OgPSfwjZbV3TljRLOfQ6A1dlsdo84jm8johYRiXO53C3BiflxIvqMiK7apG3x74tNycX/hRGEsX4oItuHMmk3ERkD4MkkSW7vjIX4R2P3j+sH/Xg9vVIteHmwxyjYw38yTKzqyFwu9868efO2cM79GMDxZE6PdwG4qCwH3TnUVPvOZObdRORI51zJex8DaALwKDMPhfk7bAGgzCioEJHhAE6GASn7plKpu733BxFRN2Y+W0RSURRNKidS+Xz+VCK6BMCcbDY7OY7jGcy8XA0Id6eq3tO7d29ZvXp1HHrpLTB/hDXOuTgkRwVVHUNG09tNVdeEUvr7ZOZQr6XT6ddXrlzZUltbO7O9vX3qhAkT1obS/S/JxL3eDiDSF9rb24/KZDIVzrkDvfenheNWMnM37/1oZmY1ASsPA472U9U/w5KKvUWkIiy0WxBRUyh5N4rIC0T0TBRF5cWvXC7+W5IkB3R139Vkm08FcAEM5NmvTWXWmd11IoyKuFGc3Moy3JPAJJ7vBTBxZkq+/dcq3far5s/ZrU4GeDBZW6AV1u9fTUSrQiVjRCt0XQWoB7yfzcwvM3OLiPwAwPuq2sc594aI9IclIOMBvApgiKqOU9WEzao8uajav/+5MynwDaNW8NplrakOmCU9w6ivFbB2xxCYxsZsNYBxfwCzUqnU1UmSXCMi3yCiB3K53N9pRsyfP39gkiQ3qOpuHvjkL1Uy+O2U9ihn8hWK0hHtLrVdh65R1UZmHqaqVzrnuonI8iiKbioUCtuIyK0wjEwbgB83NTU91NXiGtqST6rpj+yfSqUmjRo1Ki7jD2Bz9F4iuh3Am6p6X5gfBxNRDxF5iogOz+VyX5T+C4VCfxH51Hs/yzn3OgxjNJCZPYDq31b5YR867VJ/RYGrXx4y9rROx5oqIlfDAJefAXhDRF4koguWk9KLFfi0hXTgQE+VOyec9FAUVfXpKIp+EMfxcQCu6Nat25Zbb7118avm00ZjMHbbkyJycy6Xe6zzawET9Yuw8blxQ0B6wP58QEQveO+vYuYbVHVFLpc7JJ/P7+Oc209ERkdRtPs/Op5N8a/HpuTi/+Kor6/fjIiOJaOGvSMiC8gsqYmI7vbeP7QhNmLD2OPjN/v4pOJmmCcDAKC/0KIft/LgXooimaPjh2TgxC+qFL179051dHQcQUQnAJiVJMk1zrm1MKDbUJid81AAE9XktBcxc28YBfEcmCrmoiiKPqTQZikUCier6rHZbHY7AGhoaLgfwF2qerGI7BtKmvkoio4uj/XG+fXfXuLw6MIUVq8nLNylQ3vnS+nseSK9VPX7FNo1arLQs733LzrnvgNDqdeK2YuvCYvgPGYeISIPADgNwP1NTU0ndl4ACoXCySLyHVXtx2YV/xYZ+PbbqtonJAX9YAqei4mop5hk+HvMPEpErgNwJJmc9OuhOqPMvEJEHmfm7YloHxF5Llz34aE90g/G+5+M0C5S1RdV9YdBpvjZ8hinT5+e2myzzXYSkVNgQMky+n6SqjblcrkJe3ww72ZP2Mhmu59Q87mtXJ0inq2qK9UErrZ4J4X3bq/y+3c5iVRxcYt7poeSApigJmL1Ohm2Ye0rFWh9JaNTPyclB2CIx5pD2njJFkpERD1VdZCaQVt3mAJqDQXqKRnrQcP/SVX1mmpJFjntUuV0K0Hr6S1uBRn7oAhj2CRkYlqDYPgFp6ptqvqGc25LERlGROS9f5CI9oepegJWMQIzF0ulEqdSqRuerdAtnsrIRrL1pJAz2vi9LUr6RCqV6iMi81T1YDYDv49gjJoDyITG5qv1/ncD8GfZQNAun8+PZOZfq+p2RDRQRA4GcDJZK+aPZZXdhoaGm0VksHPuurq6umdDdXN8+OwkWBKzOtz/zwDsSma8tn8qlVqWJMl+RHSEqhaer8TIJzMyrotL6qE64fr1bl24NvvBkuDniGiFiJxFRjN+9420jrq/QgaVOq0aGcBPa6O3xyfcK51O/6hUKl0OoCqKolyXc+krIo7j/1DVVFcCWOUIFdiTtAuhwIULF/YrFovvEdGl4Tc3uKmpqW7UqFEXqmodEd25STTr3xubkov/BaFfalb8FHbPHg499kPoP2mb7P7h3KcB2nvDv/cSfH5RMfMARA5TA7ddU1dX99sFCxb07+joGI0vk4dhIpKDKTkWYQC+VxGSh6qqqoUtLS39nXN3A5ijBnb7RufddzniOD6diA7NZrMTC4XCYBG5M4qi3YOJ0O/xpefK1VEUPX/k4oadP5fklRJtpM73GrZavfsMmpKoKufz+aOY+RpYhSRR83Xpw8zXk4E9+5P5QEBN7OgxEWln5pOYuV0Npe9h1MjuaiqcjwB4W1U/cc596r2/C8CtuVzu4vr6+j2I6EoA03K53PyGhoa/qOpBqvqqc+69APT8JuyhX8nMe6hJkh8CQ9HfSETfEaMmXioiR+RyuQPKJzd9+vRUnz59xoTv2DIkNO+pauKcGyEi24RF+SURuagsxx7H8apwDReVgG2fqJC+MyqUVE3sbbSntsPb3Yd9lJaLyMNkzqC3J0lyjWTc7pdWyc0reWNPlG08LT2lzS0Vkb5kPhxVMPM8eielrXdUyeYbTrwaVf/r1vT7NaIunENJVTNqLSmCMR6UiBaKiIbq3PUAWq6okSOWOuy74TgAIJtQ4cQ2jmHVitpwvyrJAJbdVXUrGIZiERn2oy0kt6NgMuOVIvK2c26JGm4CMBGx8aq6/NxarVxHG5vOAcDuHbT04HYeQIa7aYV51dSo6mcwXMzgcF41MLbH2nCfasnwDO/C9CR6q+pgZh4e8qoGVX2FjNLcpqrVqVRqN+99FBKutbC2GwNYysy9vfdvE9HbZFoX3wCwQo0mvQsRnaaqR6nqzTCq6mFtzN9/Lp3EMzLSy8Ns5FPA2v07+O2p7dSPiN4VkRcymcyTzrmVnbAf4wH0LRJWndnND1Jr0fxdpBSfX9XsVrK1OCcBuFNNT2SjimdXESolv2pqavrWP9JG6QRI/wGAl0TkyjFjxnxcKBRGe+/fRoqvfpvl2L9VyN+iEu02rkS+uTB/5D/TotkU/3psSi7+l0V9ff0IZv4xrHR6H4A8Mx+gquMBPCkid5QNkvZaMmdgSfhjfMV9Pq6VbxubICEDAo4m82xoglEH34Px7hetWLFi8ZQpU5L6+vrtmPkUGGPjps7lydAnfpCZx6vqz7vCXcRxfA6AfaMomhTH8ZXM/GYn++M3VHWdiBzFzM+JyP5Xd8Pbi13Xzp87Ju6qI9uwI8ypkoloDYBERKqccywiaZhOQAUR9RWRj8kofa2qWk9GT0yLSHeY1kNPIrquWCxeXlFRMVZVf5HL5Q4BvqDdfcLM36irq5sLfMHquBvAzQBOhwEBU2Exmy4iz6dSqV4icoFzbvTo0aMXzpo1q6p79+7TVbWBiLKhAlKtqrGI3MumuIgkSarS6fQJqjotJDZbENE6IhqkqjUwIabnVHWm9/5jZt7FOXeAiIxR1fvJ6IfDVPXqYia1bKUkv+qlXKoRXQXT+GglohdhLJ0lZD4Qqc8drbm7Snp9yF8CKXMJyZHtbk216OcwoFx3NWG13gAqrq6W9AduYxAoAHy7nVfu2Y5aZl4FW3Bfhi0+RTWthzkw4ap+AN5CMO1ZylpzbbV8qw36d0llBZCc1uLeHCBogy1yaQAIi+4ANX2JpTAlzg41dVUHw33UElGNmMGdhM+WAGTUMCRFAKtOrvXVMCDuRjEyQcNP2twdMLO7w51zfb33B6tRYB8GkIqiKGpqahqSJMlTMDbIODItiDEwJs96GJumR0iKXlITwtpSjbZcA0t0e5M57m6rpqa6Jgyjm5rN+WtqWiyAaWP0CJWb7kTULiKfhvPcDPY73gpAZj3Tmo9Yu6UVGAxeVin6sZqcvIpIL2YeFeblQgAxMxdKpRI1VqVOvKUi+cJOfcM4u9UV+ye6IJfLjY3j+DpVfais0Pl1Edo5zzjn9vlnPZnKBo5sGkIfquqVHzjk7q+U25e6L9WnCfAK/Y8ZQ8Zd8s8cf1P8a7EpufhfGmExP5yIjieTF/6jqm5NBpisEpG7z++WzF/F3KV0MwAcVuQZk0vUB8bB/8A5t0pExoRk45YVK1bcOmXKlOYNPxeUMk9Uo409qKrX5XK51ffff78bNWrU5wBa2tvbowkTJqzt/LmGhoYLVHX39vb2vTOZzMyVK1dOnDJlShJ6zX8EMJ+I5oupc95+eq1s3kFdS5bv1EErj+xwlaHcvkZVPYAtVRXM/JqIbO2c20qMotoDwLOqWqaH9gXwYfi3X3iwauj5r9OgiwGjvrbDdrzbqmo+VO4ZRtvrrUYNbA2l+DQRtYkIE9ECmIpm2Rp+CUxwaSCADDPPD9+5lZqyZXX4Lh8WuzRs912WYW6GsYmKodUwALaQsKr6cN4axl9F5t3RBqMsKoBPVXUpbIe9DUyWe1gYn6jqQgATQNTjU9ZkOdO6fqIfDPCoIKIBqtotHEvIBJeWAPjgV7XyvZaNK0sAgCFCL5/aTBOIaC4Zq2JYeKlaVdvYvFU6YIZxXxQ/VFWWORp7f6X0WcLaUwEMEPr4oHZ+bZjHahFZExbOslLpfmRtpLeJaI2IDGPmHwK4Q00FFTDWx7FE1CQiSsZqaINVLZaq6o0A8mfVyg2thJFdnc8BHa75GyXeQ0S2VtULVfUmZt4DwFapVOrsUql0TpIkJ6VSqfUAjiKi/hUVFTcUi8URMCbVPgD6q7mKOgCk1lJpcM69QURPptPp94rF4osI4lFxHD+XSqWmjRo1aiVgapcVFRVPRVE0OVwrjuP4YCI6OyScZ6hq7Jxb4L3fD8A7zLw5TCW1TVWvrKysfLa9vb3De+8ymcwOIrIvgLFqDsBzADR77weRmZUNAtD7lYx+9GClfrur6wIAxxfdn8aWsBuAA2AJZHUURTd81fuBL7ASz6vq+f9IIvJ1EYDNp/6m2vf8yKErF1Ul4u2nb5V751/5nk3xj8em5OJ/eYSHy1Q207LNVPX3qjqbiA5dRXrUBbWa/SqKyamtbuGQRDcLpdd2+tLoqgKG7k+TuTW2qmqiqs2wsu5yIvo07LgGwnwGCiJys6p+m5m/o6qfILQNyt/X0NBwOYAJYnTWyiiKfgsAcRzfC+Dm9vb21zKZzLPM/LyqnnhmrWzWBq3pauxRwrN+2EbDACxR1UY1dsbJsF3fkQFU+RcR+TURXQYAzrl2EXkYwD4wf4SPVfU0IjpDRB5k5hVE9DM1NczPVTWVTqd3TZJkGswz4exQKh4TFoUhHR0dB2QymauJaARsdy6qujAwbf4cqhRLVfVIGCtmJBE1wTQsxsBAiJshJAXMvEZV+8OSDMBMvt6C7bKHwBKo9eFv05n5AxFJqerjRPQ6gL5q7JkXYD34jkwmc0h7e/saNunuqQD2IVNG7EtmWrYofN+WMLnoFapa7Zw7NkmS/Pz58xeXS8r19fU1FAy9RGTaRd2k/3JGuqt7NDqhZ3/UxhNVdRkZI2kLAEPIcAn1YiZj3yIzVes8p6uJ6KCQOD3R+TUyzYqqQM08HEB/EbmFmVeGBKa8mz+MiMYBOFtVhZnTMJqmkDnvPsDM+6tRkNcR0W4Aer2SkuX3V8qYDc+lRknOaXXv14qmmPklVe2pqnuoajUzz1Zz9R0L+31UwCoMPVW1g0yHog2mQLschlnqq4Z36XDONYuJslWqao8wh9eSsaI2V9Um+rLluRksIVwKawMOLB9bTeBr21CREyJqD/e3GpbIrHDOLRORTDhONyLqIKKSiABWAWyHmbS1qYGjW4ho+QrWHhdUyx6KjatUaSC5tDV1Q6XX44joXQCNqjoOxgRq62puAOiAzcO1aoq8ne9xoqrru/oQM4uIrO3qNSJq/Wmtf4Ts3Lp6w/kzthpzwVeMZ1P8N8cm47L/5RF2cC8AeCGO42HMfIKqngfgoe6lZGq10IMtTLt28dE3a5X3ZNYpMBDXpLAjXQqgg4hGkHHYhYh6AXgTJnXNRLQF7Ac8Ivxbpaq7k/mKEADHzClVzcdxvEaZl72c8unbnd8cqm5bz+MmJvTrhoaG/Zm5p/d+cDqdfjebzfo4js9V1RlE9FJdCYNmd7lsAeNKSgC9rqpldcS9yWh7IKJ7A+BuSSqVGuK9v5SIDhWRXVX1eCIq894TMtXJF5n5FBE5aMyYMd8MVNuLiejYJEneAtAbJrz0ExF5wTknRLQTgIcrKip+pqYRsjmAHgDWM/PO3vs5sASlTMf8hIgOUNUKVe0Nq9LMJKKLRURU9SoiWhIeyh+IyB+cc31hrYtvE9FHRHR/ZWXllcOGDVsLfOEmOcA5N15EUiIywzm3LyzB2ctuBSo6OjqeIqLZAN4GUE1En4cqzq1krq53AjhOVfcmokuY+TgReTxJkvOZ+c3hw4dfCFvMEAB0LxQKhQYi2kuBxwH8pItbpPu383aqel0URRcFk73nALCIrCKiyWzum/eQlfgLABY55xoLhcK8UaNGVRHR1CiKXtjwwHEcf0NVzwXw+1wud0tX82P69Om39evX731VLdMoL1BVAXCNWoVvBwAn5XK5Lxa2QqHQf3IHjiHi3o9npHcboQYA+ip9MK2N8r1d6scdvuM0EdkbwdabiFIiUktE74dF++VwX/cA8B1YRWp8FEVfqFs2NDQ8CuCbqnq9c+684Dr8A1i7pDFJklMzmUw2AIV/jVDRgrWRRhDRXBGZSESN3vtrmHkbNs+OHQEsUlOqvRxAhaoey8wLRGQQM1d57+vI8CkfAvg9M78hIsuZeY33XkJC+0WkUqkx3vszeie6fpDHwx+5L4Hh5Rgq7paKRJ5WUx/dD8DFzDyRmRu8911uYIlol7AZerCLl3vBWkgbhZq3T29YYtRdRHowc18R6amqabLr3XWobIQX2RT/c7GpcvH/YJRlxlX1p+sZS39TrdVrSPZCuN/beFq1f5tcsQ1lbqyrq/ui7RH47PvDtCP6hArCXGYWVT1OVSeSaQmsJKJFoWJQcM41jh49uun111+v6NOnz5RSqfSQmkXzC0WVydfWaK+lDj07j3FrT+0nF92StOhmsN1eBgaQq1ZjAbgVjt7+XWUyaSX/fdm9v+D584qZS0RkuFprplpEbggLxvZE9I6qDiHTzNhMrWVAasDV6WpgvGGwpGGhqvZg5uEiwjDJ5+4Aeq0l5U8ZVdVEOjBBQ8oAiEPDIvUYEb1IRItgiP0jReTHRFRRLBa/W1FR8TAz/3kFZNclDoPWQZ8dW5KJ3eHWqOpbK1eu/PGUKQZIDWDdi8KYM0T0JIDRsEpH3nu/zjm3I6x0PShcn3ZmXg7gPREZQUS1ZG6hN4Wd+RPOue+PHj06ieP4P5j5cFV9V03XpFlVz4LpKGzNzLcCOLOurq4jjuNrVfXhkLD1JrN+P5uI8t77i8rKjQ0NDfeo6l8uZP7b8prSrQCOLM+vFNC+bzu9t2cHD1XVJpjR3EyYR8jzMKfOR9QM236QSqWOK5VKIwEMJZM93xZAH1WtYea7RGSRc64xlUp9UCqVzlPVLUTkpPJYvirmzZs3xTn3PBG9Q0Sni8iuYZ79HIb9mbXhZ/L5fC9m3kZE9l/jcFgNeKuMVSveE5GFRFRQa4UdDqPx7gzAp9Pp/Uul0lkwW3YtUyb79et3nois7iym1dDQMEdEsgB2y+Vyr4e/7Qzg5oCVaFPV63O53Atlu/W5c+f2DMJfv1HD9QBWXYQaFbhZVdeqtct6kbUrx8CqJRMBPENEty9fvvyZIUOGpFpaWvYKVbiRAJ5m5rs7+/fEcTwqzKeeInLWmDFj5gDAlMXzDhXFiT0Ek/op/DKiaU8NHfN4p2vXpKo/AnDuihUrdtjQwwgAAm33oVQqNbXc7il/vmyQF+bCQLKW3EA1Wm2tWgtR1FqQrKprmXmRWitz1k9r/WmELtsiAPSoGUPG3fN1c2ZT/PfFpuTi//EIMuM/X8MYnU/ri29V0i2nrpZ2MnrroTANiI3YJvX19TXOuamwRGMHInpXTeZ3c1Xdl5kfV9V5qrotEdWpapbMK2Wequ7CzJ+r6tz7Kn30WrrrH/v4Ej3x/SLvSiZDHcN49avU2BvjiWhQO3T1rLQOfN9pS6WSjzzW5krUAlsk0rCdShVM0yED692Xy+wEa/N8RESbMzOJyDpmrg5laFVrAaVhjpG1AEqtSXLpBT1o61bGMQjVvZ6C9sPbeWldQtOZ+fLQp94HVpp+DWbFPiKUplmBRQ9nZPOXMlJLwYeiAqQ9VH917nquIHPcXAijn7aF0nW/MA4AeB3ApxTUODmIalVVVX1WLBb7w6pN+8HkpieHZOFbzPxtVT03iqLLNpgHpwK4SFVfdM69pqoTAeylhs+Yqao3VlVVPVcsFo9UVZ9Opx/y3j+SzWZ3VVUqFAr7qeqviChOkuQ559xRURQdVD7+7kvqsxDsoCTrKkr88pUtiJh5mqo+G3ble4Z7s5iZ34BpJxwPqwDMjKLo/s7j/eCDDyqbm5tnhvMaysz7qFEMV8I8RRrDdWkUkcIGlOfeqnqmWttiFRENjKIoamhoOCFUpFao6v4IyQyZoNtQ2I65bYNjn0hEewFYQERPE9GN3vsjiGhnAAPJmDMPqeqp4T2vZ7PZn5bPI3hezFTVw8oCWA0NDZ+KSHfnXK+Q0G0O4Fnn3PFJkhARTQXwXRgIsxZWjRhKRGWhuHdhlcSXYFXGLWAA7z1hyfHoUIFY6Jx7RlVLdXV1XfppBMfSA0KisaWa38sgItpKVc/r7LRcjjiOz4dV6mYR0THFYvHgMr4qn8//hQw4vQjAhVEUNZUrbOF6b6Wq5xHRLDI80UDYbzetqivITNtEzY6gbABXTca2KZQrXEQUd64GfTEPF8/ZE8rPYOOq/Nx+LekdHwi+OJvifz42JRf/P4nGxsYBSZIcDeAwZn6eiG6sq6tb0kmwa2dmflJEbunKB6BzVQPWClmt1qP/fW1t7Y1bb711cfbs2dWZTGYUEZ0CA3bNOqO7VBdVd+lqTEOEVp7e6ppUdQ2AbchYAx+pgTMBA7+1kPkV1KjqK2xCWSlYX7s6/NuTmWvEVCIHkW3rVsMSnR4AWtQ0KjYjolfUPCmGkdlt1wBfmngxMz+REX2uC62DNFD6dQu/20voDu/9klQqNRXA9iJSDcMSZMhEh+iVtFTcXyE9NzwGAfhpMfXJ8JL2gYH6loTzmkxER4rIjWQGSw9ls9n7/rP7WigUJorIK0S0TE1BdLqq/qTsJKlmjPYzAIeKyDXMfBOAz4noCSI6z3v/SwAnM/OfxeTHezLzOjHFyXNgwMKPyseK4/gAIroT1oo7I4qi97saVz6fvwXA3eE+3E5EQ8Q8UhIA31EDiDYB+ICZt6yrq5tAnWTnwzHmdHR0TKmsrPyNqm7hvT9x7NixS+fOndvTOff/sffd4VGV2f+fc947kwQSOqgoIigCmbkTmqjYQLGtBV3r6tp27b33r65tV6y7lrXtWlbXXlZRBEERCzZKMncmBFEBUXpPSDLlPef3x3sHQzYo7Hd/f3x1Ps/Dw5PMzJ07dybznvecT9kRGxcH28IRRQ1c0NubuVzun57n5cJO0BxyNuwGLj31LTgjt2+MMbXGmJoBAwZsNOcPfWYmENEAZt7OWrsfM1+nqluLyCXGmD0AnKOqTwF4BcDdqvpBIpE4s9Vx9mLm61X1HBHpZ4wZR0T1qvoWEfVUF8S2iIjmhsXkPLgu2a5woXHMzGlVfUtVm33f34g3kE6nDxaRJ8KiKRV27HoT0bOqOgZAAGfNPYOIZlRWVtZSK9n6zJkzu5eUlMCTZ+MAACAASURBVFwnIofD5aisU9VXcrncs0OGDFleuF8qlToDwCG1tbVH7bLLLpHGxsbjReRiEXmAmdszc6WInBq+HoFTxzSExcFiALurC/H7kJk7wW1WdgjfP4+cHLe2UERUVFSkt8SMCwBGzqvZTVlvIqegWwPgNc/aWyfvOKxNrkYR/39QLC5+YWhhM34+HInwL4lEYvK8efNK6+vrD4NjuXdU1WeNMc+2HJsUUOhqqOqRAA6C41y8A+CaRCLxTRhx/IW1dtBFnfAPckZP/4ZeQiuvXM+fklM/xOCKASGn7kC4s+lDRKvDVnQDXK5DPiw4JPy/l4j0YWdU1RPAanK5GQm40YcHZzK0PTmzpXZwpLU16qSYiwHUh1+Gva5vbw9YQ9qmAuLoDMs+WSqkiWbUBWIBP7hE5gA039bONiwx2LatY2yv9N6V683z6kivt4Vf5Pf6vv9a2Gl6AG43d1Bbu7OWSKVSfxKRsxDaa4cFwaHqjM0+JydLnV5RUXFFfX39yeTIrQ2qenwikfgknU5HRWS+Omvpm2fPnr1zLpf7B7sI+6PhuCZPApjs+/6sVCp1KRGVisinRPQHAN8w880tW+qhdHdmSOx9hRwx0cTj8eHABt+WawFcoaoRVW0molUAnlHVcQXb9VQqlRYRBXDfprgV06dPj3ie14eZLySio+GcYEWdnLLw/VYBF3T3LjNXAliezWZPGTJkSM2PXdsgCB4DMJ4cf+EuEfmSiP4CF1Y3GI5IWaJOhfMAOXLz1cx8e/h57RsW4B0A9CDHy5hNRCcBmBju4E9S1SUlJSV/y2Qyo5h5tKruSa7lX66q35eVle2TyWSOU9W7AMxk5ssAQFw2zjFw1vm3lZWV/aW5ubmHiIxn5jiA64kol8vlHi1wOOB8K3bCDxyOOnKy6F1U9U7f918mIq2uro4ZY06D82sxAOaw8yIZBCdTL7ChFofv6RBjzD3W2hoAD6jqPGaep27EVigAR6hzpZ1BLcaqcGZ781oXPEX830axuPgFo5XN+FMSOt7V1NRsR25sciI5aeijP5ZtUltbG7fW3gzX+l4N4CVVPU1Erriks+6kSte09bitFE/c0Bi5XEQmwUWO/9suOJlMdgbwroicbYx5gJlPjcVitdOnT9++tLT0XFU9AsBEAC+oU7w8AKCHqp4F94U+GsAJCCWXAF4N58KlCBn9cG3XjqpaAaDkwgrx22LFA8DoLOyYjBEN7apVldRxOhC2oj0AC/+nXCrWkHZu6xjdBJ//odG7VUSaQpXPvnCeCO9Eo9HmTCZzpjEmBiASj8eP2MTbV1jE6+Fsv0uMMcdUVlZOAoDq6uoDmPkhZk6pan84X4XPyBFyx6rqX5j5+lgsNiEIggmqWmKMGRv+PMP3/aHV1dXbep73nIjcHy56e8MpPsaq6gTf92cGQbAfEd0IYJ4x5pbKysq5QRAcwsyHWGuHq0sFHSQiexf8VwpIpVKPwC36I8P//8rMnURkd3J+D12I6PR4PP5K+Dnoy8wxOD5KwVq+h6p2M8bUAXjSWjtdVesKzo2pVOowVb1a3TihG7no9Y7qgrXKAVhyya0b7ZYbGxsHisgdvu/vH6Zq/kpVe5DjXHwRFr47AxjBzFZVOeRk9Ai7bZeranVBaRNKSKcS0YeqelZZWdlBjY2NVQDOIGcf3w7AZHVGWLsR0QPGmLn5fP63vu+fBwBBENQS0efiAvqyzPyqiAwjonPi8fgX4edhEhFdp6ofqurabDa7bcvwwwKvQVyq7plwjquNRBRRp14p8Hm+E5Gvwo7DWmbeQ0T2g5MNP8TM/4rFYtnp06d3jEajOwHYP+xY1sCZifUDsJKInghHTM2qemkkEtmrdYeoiJ8nisVFERvZjAOYIiJ/LiwErccmqvrYplrhYTzzuUR0brhzi6winfKnct2jGRu7HlYoGr0y6nPzcn5CVR9MJBLjN3V+yWRyABE9Z629wBjzCNycfpCqPlFRUfGPlm3TVCr1gIgcTS4NtRtc4aGqOib8Et8KrvuxwWa59fPtM7/6a3JywX/DyGa88+ssdyGnoMmRI5P2Crsei1V1G2Z+58+l+V2+8to2Y/Lz9OmZTTwRTm2zB4D3ARwA52OxmJxPyVBy5lArENpUt0Bh1zgAzoRqLpyJ1wQRyRDRQFXdiojGwaV4VsEZWHVS1X3DHeVMAENF5HVmLoyOxuTz+TM8z/uzMeZXy5YtW9GtW7cpuVzu10OGDFkeSoYnqaoXSlErQ17CZDjJ4rnkZLftVHUHZl6iqvMAlLeVRjl37twOzc3NU4loJdybZOEMsDqG5xeDU+B4cAtVSlUnq2o1uZHWuUSUVMcN+LcOTzKZPIGITs9kMkdGo9GuRPS+qn5JTv74j0Qi8Xo6nY4y89BcLrd7eN3izLy9iPQgoiYAJCKlzOwR0Zsi8hFCd9poNLo4l8u9wsz75PP5IUT0HDn+w0NEtJuIHFRwqdxr/vRtBuQjf/cIB3RQ4nhWFw2yXE5E1zY3N78WjUZPJqITVPXBlStXPj5q1Kh8Mpk8GI7X850x5kRr7dbMfDkRvep5XmU2m30DbuzwQGNj4zPt27e/R1VXf89a83lUH/vKEDdBV+1k0TAma1aHbqn1cF227QF8yszPA/jWWrsom82uKysrG9BGh2O+qo7yPO9OVe0sIqMBxMlJRlcD+FRVU+zcbs+eGdGrAg/Pz2EbqWesYcVnlzaZ3n3UHBuLxWrb+pso4ueHYnFRxAZoK5txIrq/kKC6pWMTIrqHiH5HRI+uULv2nRKctNDD1utJl1VmiRMZe/xAihygqplEInHzv5/Nxkin01dbay+BM7Za7fv+PoVOSjqdjllrDyWig+H4IB1E5OSqqqr3gA0s9gUicigRnSoiY/kHl9PnIpHI31qy1kfOr74MwF2tz6EUaLpmvXmwi6Av3GL+Wqi7PxkuLK0TEREzL6zhfOTRUukJ2vhPzKjaaxu95h6CXNj6fkRVvwhtw68CsDQej1+cSqV6wBVGDGD/lotnOp0ebq2dCEdsi8AZSZ1jjPnWWvsnIkoBmALgSjhewavM7IlIKRFdr6rPMXNCVQfChXuthTPnSqvqLuTcLRfAdXp6wy0wzWHB8jXcLlvhvBBARO3gCpcych4WPcORUQrOPfI9VZ2roecBuayWbiKyFTky8GBmLlFVj5zV+UIA3VX1awBvNTQ0PFReXr5H2D05kJyb5SIRuT6RSIxrq6MWBME5AH7NzEdaayNwXY8/qOoeqppl5sXqrLZLiaiRnA/HNyLyDRENBzAyvC6fAjgYjsvzhToCsAKYrU7t8hu4kLLPjjnmGEmlUkvheDRdmbmEma/+hPLDXyizZ2dD2+0Culk8f8N6nkJE56vqPysqKv7Sp0+f5nCsOEZdoisbYx4WkR7qHDinMXMfVT0NQOE92oGIOqtqbrmhcXeW5g9tYlS0uiTzr2k29/bM4XcAXhCR+1rnEoUj0+2YORYWjn3VSaMT5HxtmuEcTRuJ6FNmXiguiHAwOfnt05+0x/qXNfdhcyjjLYAUGVYz/N2+frL1e1XEzxPF4qKINtHCZnxvdTbjjxZ2YdXV1dsy82/JhYbNaWtsErLkl6vqrUR0ApwF8WwiWgfgzLBNXZbP52+KRqOvt2X9m06no6p6vKpeCCfLrIfLzugiIkuZOafOA+J7Inqpubn59Xbt2nXK5/MTANyQSCReKhwrCII1APYG8PTs2bOHHHvssbaFy+mZAGqZ+Z5YLFYNVdpnfvJqQK4PF04o4fNYDlef3ch3l5WV7d7U1NQOwDFEdBM51ckzqjqGmbupaoOIPPNJCR0woUQGryEYAOipZI9rZts3j0/ChV3IOXl+QY5F30tVexFRHsBjcF2JMao63/f9IwEglUqdoqr3EdGdqnqiutn2Dqp6EVz0+5WqugOA3xHR+b7vT295TQvSxhY/b6Wqz5JTP9QBWKuqPYwx/xOLxV4Ow6L+qqpd8/n8ca2TWUMlQGk0Gi3LZDIVzDwOwLbk5K6d4NQ6NXBdnh7kjKIa4Tgwq8P3c2+4dNNGuACwdeQyOwYC6EpEa0Wknpk7wKkKlsLZurcXkXbMvF5V1zHzWmutklM7dAiPB3WE4RWqukpVd2fm9nC79juttY3GmOa8k2nsw8zHiUg/Zr7EWvsGMz8N4BEiulJE3k8kEle3GAX0BXCTMeYbEemiLk5+Gzib9G3ZyZ9Lbyq3K1YQerbxZ6bnN3vP9cvY540xO6nqKABD4IiNTeqIx41ElIaz3P9ARJJEdCYRPeN53jP9+/dfXFNT088Y85yqPvpwmZ5QG9G2fG3Q39K4s9fJycYYwr+PmLaDI7q2JFQuI6I7iOjSlnHnYadzKDur/6Fw3aa8qkb+USarv/DaJnAjjHbfxG1F/MxQLC6K+FG0thm31t5fCMoCNkhdT4aTYk5oOTYJgqAObj77kLX2bSLqDWeidCUzX09E54nInuSkdx2IaKqITG5qaprVrl2736rqKcz8jud595WUlKxqaGjYCy7grB3cDupPZWVlf+3Xr1+m5TmnUql5IvJEoSMSqgs+IqLX4djpfy/4CxSQTqf3VNULJUyGraio+Me5+byOsI2H7ZHn60rX1Y8YMWJEUzKZvBpANpFI3KMu7rw6bJt/CWAXuICp8XDpsKNV9eBVHj8WUTR3At0TKg5OgltUs3Ak0HK4L/IXVPUjZt5dnBnRm0R0ZHjOy+DIlb3h8kweATCTiPLM/LKI9LTW3uB53h8BTC8pKbmx9XUJ35ONigtggwokIKL5Iev/b6pazszvAHhTVf+oqk+0lVhZV1fXsxB0R0TnwS1WK+BGPB3h2Pq94GSFC4noLRGZXFFR8dGaNWtKI5HIWHVeJP2JyCOiZfF4fM/wszUAwN3GmPbiTKPmwcl+O6lqTyJqR0QQkXp1nhhd1RmUrRORv3ue96m1tgIAKAykI6IDyfEnckT0VxHpRM7Jc0ciWg5XDCmAhQAGwZE2V8K5mXYLF10D180BgJ7qgvKIiLaC82pZGt6nS1a18bIK22VTTMXDcubbAzNEqppTF172iqrW1tXVLRgwYMB1xpjqWCz2RhAE1fX19btXVFS8DODV8H1pb4zpJi7q/UFVXXxFhVyXIezS1nP1trTq8kZeCmBV2KXaJKFy2rRpZRUVFeMB3Of7/mubOP0NCIKgl6qOvrJcjmrmtkPnFKidusOgTeaTFPHzQrG4KGKzoBvbjG+lqg+sXLnytYJJTmFsQkQnq2PqPw4gwcyJeDy+dxAEHxtj7gyljwkielFELi10Q9LpdLmq/ibsUuxIRHPy+fwz0Wh0ubV2NBxv4H0RmUxEN5BTPdzIzKNisdiqlueaTCY/YOZVBTJkEATDAJwLl3x5IxEN933/2rZeZ11dXc9cLncmgKOI6K1wAToEQJXv+2eH6opp0Wj0oEwmE2Pmq0SkjoiGWmvPYOZxRNQ+7D58JyIlRNQLwDLf9xMhD+AEuPHNTeqIhQki+j2AYXCLVgMcr6KEiN4QkV2NMVuLSDOAv8JFjI8JSXkMl6r5NRxH4cpEIvF6W68tzH6Z5vv+rq1vS6VSZ6jqwQDai8gdxpjnyflT7CUiF8IVBh/AGZ71Cne6FQDmk7N+TzDzEFXN+76/XYGI6/v+MHLKjz1E5FoAXZi5Tp3PRi9yPIi34UY7J8AVW7XqCLe94bw/Po5Go59ks9kSIhquqk0i8odBgwZ91PK1DRgw4CEiEmPMKyKynzqi7FpVnQxgciKRmBHmWSwNn2cGXJH6pDHmWQDbi8jz5BQcl4W3vQJX/PVi5mvUyU57qvPF6MnMHVXVElHBrt0L38MsEXGz2JLLO+gmnZAPyFDdYVme1OL9LocjGpeG7+dadfkr2wEAO3v4eQAyRLQu5OasVGfFv+197XTAXCMlbT2XIZr4bu+qgzZ1Li2v5cCBA18A8HY8Hn+8trZ2KwDbiMi2YUemZ/j+bw0nF6ewi4hb28u6payj2zquEj6f2nvQv332ivh5olhcFLHFCIJgRyI6Q1UPAfBKNBp9oH///isKtxfGJgBOI6K+zHy4iNwMt2iuFZE3jTE5EbmYmd8RkQ+Y+VRV7SEiTxORJaJT1Rl0NcEFg40nojcrKyunVVdXb+953uvMfK+19kjf94+gjQ3AbmPmY3zf3zk83+PUSVr75XK55yKRyB993x/+Y6+xhWT3dAAZdXkXT/m+/3QQBMcR0Z6qakJp419F5Djf949KpVIPAhitqnkReZKZj4HbzRtVvdMYc4gxZiQRlWSz2ReJ6Ml4PP4PAAh9Qi4golNU9T24XfCv4Qh4Bi5OfiEzz1DVUeRskG8BcJCqLmfm2SIyAI4PonA+EjNUNe15XtoYk8tms8/4vv9vC0wQBDuqi+j+AsCxRNSBiKLq3EhXhOfwBdyC3z4sDt9IJBIzgiC4AMB1qjoBwNeJROKWIAiugZO8vgU3Pig4Lg5X1VFhF2FROM7wVLVLuKAauLHIEnV8lHOqqqoGtzzXFum82xPR/cw8PZ/P38fMq4nob6raGUBnVe0cdjgqyRmcdSXHJ+kKVwRk4QLsLICysDOxBj9kg6whx2kp/CskltpwXLEeriOTCY9VCqAT3PdqPZzUuXFse1v5vdmYb1HA0U107UhrUiLSZIxpBrDaWtsUjUabc7ncWGa+3Vq7BxGdR0Qfikgy5EL4cKTLCri/qyYA37xVhn4TPLtdmx9qoovf7131l8KP4YagZ8EVk35wxBwTvt5M+H4sRGjopqqLVXWR53lLw45TlTrXVysikx5sJ2vmeLivzeeHXl9MJv3loFhcFPEfo4XN+AVENE9E7i2MG47RF82y+f3P3FrxwEpW7SpEe+aofp88jUvE/JNUlWfPnn24tfZ2Zt5aVb9RJyXNichbnue9WllZORfY0NUYhRZuoeIi1HdXJwtc4Pv+3YXzSiaTRzDzX2tra3sde+yxNgiC61T1S2PMShE5FsB2zHxxS2+GH0O4mJ2vqscBeNhae4sx5l9EtG24ACWZ+Z+xWOy9ZDJ5JhHdzcxnxWKxZ0PzsrfCHe72AFYy8wWxWOyl0IXyKQBL4vH4xfQDQbXgMHkU3ILW2UImT43SiKkR4fWMDt0teJ8s6a55tuQi2L9Q1cnM/G46na7r27dveTQa3akwV1fnI7IDgG2IaCqcx4mBWwy7we3kd2Tmx6y1HhGdA5cqepjv+9ulUqnpoZx0fTqd7mKt3Y+IjoLjS3Qj5/K5varOJcetqIQrbr6Cc5hcTETbiMiRAO5h5kWqegncGOlZIvpORE4EcLSqKjluziq43XHAzCrOrKyUiIyIGHLBeh1EpJyIGohoYTjSEHJeF4UQtDK4RbhQHHD4egumXU1wEswSuAyV7qr6rqqWGmN6AeigzsZ8Z7jQvmfheAoxuI7a93AjrBki0pOIOjDz31X1UBE5qi6CHR8rlViu1bdtvxyqL2w2jxfSQ8MI8V4FQiURnRseeygRLRGRKXC8iO3hAss6WGsvi0Qi42Ox2KpUKlXTrFJyfbmsbyYMaflc3QXzrmmKvBcR2QrO+6UEAMj5TSxW1UUhyXU0gJJIJHJ6a8loEARbEdGBcH+HcQDT1QXLTU4kEqvT6fTWVuSFe9tJdp7R/bDx+vIWtOPR72+hIVYR/3dRLC6K+K+gNWfh0g5alYee2/p+u+RpwclNTHBfbvPgdkZL1Tn67QbgfWb+UywWW/Ijz1VQh5wGl6PQHHoSPEREEgRBLwCfi8iIqqqqeUEQPM7M91dWVtakUqlqInpEVT3f9/+yqedoC8lkcnciel5dWNo6VY0R0V0AjojH48OJSFOp1PFhm71PZWXl4lQqVQXgHhHZyhjzRxHpBuBaABERucvzvPtF5HIAA8vLy0/p06dPszoOxJXMfJw6cuY3fy+THtWe9mp9Tl2VHv5DA78P4EAiGi4i25GzYc+GC8YyOH5HO1Xto46b8JE6IzIjIp3JmZY1AejKzO9Ya99k5jtUtVKdEdcCuM6DqJOLdiGiCgBQ1e2YeZGIROBGPSuBDUqYBrhF3IMjbBI5n4mwBoAlZ2ndOewQNAFoCs8pCxdTvx3cws9wpMyFzFytqqs4TEZV1e/C89kRoXRXVUuZuVSdE2gpgGQ4HqkjZzH9vDqb+WoiSohIP3Jkxm0ALAzHDx+qs6TuCNclqCKi7qo6llx+zedEdLSINCYSiSeSyWRnIroCwHFwnYt/qeo/VFWXefz0xKj0+Z7V6wDSMvBfzmjmpap6mzrZ7dZwRM45GnIhQnXLUlXdDUAdu3yTqdbaeZFI5C/W2geIqJSZe8G5nnYFUKdENDVizRyDaJawfhvh6b/O8jiy9vtoNLq4f//+i6kNhU1L981jjz3WhmTdgkpnDzh10LtwhmozWx4jnU4PstY+rqpXVFVVvTvy25nDYHk0mEoUMm1q78GTNvfvrIifB4rFRRH/VaTT6e2XQC69pb09H65waA17W4P5voNiOZxzYUBET9bW1o4/5phjNAiCo4joKgAfG2Nub0tF0hJBEDwFAERUyNmoDXkZt6rqqYlEYnwqlfqgpKTk0H79+q0LguAOOFXE8b7vH7Clry/kJuyqqtuQy5xYDWDcihUrzh41alQ+lUpNgNtpHhmLxT4KguAAAA8BmO37/qEtjnO8iNxBRFFmHi8iKwAMN8acYq29m4jKVbVrJBIZ87Y27fx6Gb2HNv5eCcjesJ4v7K7cB243vaOqljBzwdW0KzN3CBd/ghutzCOiJXC7+G5E1BVuDFABp1CBOjWPqipZKD6OQmZ4SvUM3coid0CWsn2F26sjMy4KHy/M/LWI7B0WX83k3E/7AHhCVacYY5qttU3GmGZV7asunXZOuNifrS6mvCsR9TfG3Gyt3ReO7NosIgOIaHtysssoXIz4l6r6aqjYWG6MGSwus8RT1QXMfGdBTt3qc7MofN7AWnsS3MIOdeqb7ups45cT0WfqeBfvA4CqBsaYEYWuVxAEZ8N5lXSC64h9KCJ9fd8/tEB2DbtAFeSMt4apGzWtVtXHmBkA9i8vL/9VU1NTL2vtaHKJqgl1vI614fswH+7vaT1cB6pGVT+A43acDqBDJBLZe8CAARsZlW3B5/owABep6gXqsoFGq+rORPSZuCTgt9uSnYePPV5ELlbV37Q2Sivil4ticVHEfx0j580aCaIpm7r9gAyuOTzndVJVq6oVRDQEbmccAPhQRJaHbfWD4YKuXhJnUS0AUFigAMDzvEg+n3+AiCYA2MdaewM5SeFlYWv9aQC/jsViA8gRC6tE5Hoi2i6fzx88ePDgNVv6+oIg+AcRjRZn5TyCmR8Rkf3ImTxFw9HNDb7vPx4EwW0ALhCRA6qqqj5teRx1viInqep1qrrEGNNLRLZl5restR2y2eyvKyoqIh9J5s2ny2STRLiLGs2CnSy2hkuL1HAhVbjiQYiooGxoJyLRQvHAzBARJaJGOEvrOXAL12UAnmLmuwF8cH9pfkKd2dhtlAD8tplTu2RxvzGmVlVvyuVyv/c8rx+A40TkWmPMk6pa6Gb0IKKJ4Y6/ozoPhzJyNu1lGgZYhZ+HznCjmjWqOsEYs9Ja+2Rh111bW7uVtfYNY8zz1toIEY0ixz9Zp6p9mPl9EZlORL9R1fnMPDYWi6WnTJni9ejRY7eUkQtqjP56FQm6KmivDOm2ykRE/wTwsqp+vmLFipU9evTYLRxtjCRHnB0P4CxV/TMz1wI4SVWHkYuwf1ZVy+C6G4fCeVDMJ6fKOJ6Zb8/n84vC8zybnHLKwo1+dgwvaybsngRhgbUXgIdVdXEhVTWVSl2pqj183788lUqdrKrnq+obzFwej8ev3vxPsUM6nS4HcJaIXKmqq4lorqqO8zxvYmVl5YIfe+yLL75oKisrb1PVWGlp6Yn9+vVbt6XPX8TPF8Xiooj/OkYtSA5Vlembuv28JvNm/5y2Iyct/E5E5hFRDsAIcqFLXYwx1dbaFBxpb19yjPhp5AKfKsLWP+Da7l1VdS8iWq6qDDduGQjH8l8Fl72QJ6IMnDFSD4SBSnCdBw/AhmhoclkYBRmnDYsUAICq1sO16vcll07ZWVWT4SJyKhwJrqOqfkNET6nqdXAS0ivCRRz4QYYKIspba8nzvOvUBbyth4soz4azg+hcD433ldnyTV3PMxpxb5V47fWHZM8SuIyNDfN0OFfJEaq6qKqq6m+Fx3755Zd98/n8YdbafQD4cF0GhSNVrhwftY+Oj+qdbT1vCbDgznX8RwC7kSOeLkfogAqgOxF9pY4g2UGdWVUJXPs/CjeeeBvARBFZsHLlym9bxnOnUqlbcqrXTvdkxTyDJdMicm+ezev3r7IdPc97mYguisfjH1dXV+9sjDkPzvTqI3LmXbuEBdY0VTUichQz91BV+jAKfanEtm9pbsYgHZnRl47MmvbxePywtkYGNTU1cWa+GsBRcKqOBhFpIKIcM1tr7TRmzpEjNh4Jl9tRSPysADCBnFFXNjQPGw1npb5IRG4joksA7JVIJFYHQXCRqu4JV3DPt9ZeM2jQoC+TyeTuzDzWWns0M98XjneuEZEpbamm2oI61ddguDTefYloK3Wk14uam5tfHjZsWO6njgEAdXV1Ffl8/mkAdbFY7FpqFTpXRBHF4qKI/zpG6hRPF3T5mqDbt3Hz/JHrv+x/DGL91BnwtCQbzgcwIyw6eonIocz8LRE9Y61lIroybGPfUlVV9V3Lg4ZfvPeKi1S/O2xr3wmXKnmZ7/untOBq/B6O5b+Omc+qrKyc1vrLsWAOVfg5Go2WZbPZUgAwxtwtIrurm+dfwMzXish7RFRGRC+JyLXMPEBESuDMoioAXEtEFUTUV0T6wLXQu8MtvCVwnIJ8+H9z+DtiZsoDuf8pt5F6/HuYWleBvXG9WUBu15vRHxJlW3oxAI63sDVc8fItORUOACAcXxR+Hqmq7eFMy3Z9MyqLHDEy4wAAIABJREFUJpbogDbeRwDA2HquKVNsR0QNcN4Wg5l5qYh8Dkeg3J6IOsH5m0QBvE5Er6tqhIj2BLAXOU7Hm83Nza8XortHflsT75zXGavZxdUDgKdUf1oTLRsM79h8Pt8FwAXhNb8/Fou9OWfOnG2y2exwIjqciEap408oOZLwsmbC2ivL7UA4gudGIGDN3esjz3nWLmHmWdbaocaYQQCGiEh3cpks60QkC6AHM3+nTvHSPrxeNao6DcAkIrqLmYfHYrGGVCp1uzpSaYmI7BLyJiZ7njcxn8+PCnkVnzDzOFXdR1U/gyNM/p6IXgXQxff9qpqamh7MPFFEbmPm64johng8Pi4IgssAsO/7bRaAwAbTq33CUUeBED3ZGPOFiPwNwG8LKbqbg9ra2n7W2n8S0dh4PP7K5j6uiF8WisVFEf9fMHJB9Z5QvAy3ky1gCZEePaX34I/bekxdXV3PfD5fcP0bCrcwrYXzG+hhjBmvqoE4u+2vAdzUMuckdK88DMCOnuedns/n3wNwmqrGW1qMh4TPZ9S5Yb4LYJewC/EmEb35YzvAMBxqNrkAKZ+Zk6r6KYDrRaRvqKa4QETuABCo6kByvhc5OHVCA1y3ZjGANcxcFY4mSuA6LcvhCq1SuELjc1X9V3UJHfNsND+4mX6QNLYDmg7MmFsu6u//6UfOt100Gi0BAGa+1Vr7ERF9Fv5cISIbOkDGmI7W2r8zcw25wKmxj5fK5FkRPWMTh9e76s2kUqIR5Bw5eyAkZQKAiHjkiJoFy+gsXNFjiKgk7DLl4LpDCEdKeSJafWt723Upo13rJ2yvpDc3cnOJ0moAy0LuRbfw2hWwCkCaiGrhiK3Nqlo2NaodXinVszd1rS5o4mS/HCrhIsKtugyVOlV9l4g+IKLvwnHcVGY+PR6PT0yn05XW2usAPMEub2VvIooDSJJzd93RWnsPEb3ZmgQJAEEQ7K+qT5Kzz+4HIF9SUrJXLpfbOp/PP05E38Xj8dNSqdTbcNb3W1trTx00aND3YRjaB5lMZveW4WSF8U9hpMPMWRF5Cy2ImOFjJxDR5S3dN38K6XT6IBG5Q0ROraqqmrm5jyvil4dNmrsUUcT/Bu/3HvTRwXM/3bk5Unq0An0ImFeaa3757X67bXIuO2DAgEVw5MBxhd8VCg4iGm6tPRDAiXBFcTmAiUEQ1Hqed/nAgQO/jMfjTyWTyV2YebG19l4AlCMa7DkZ4Qb4vr8wCAJLTj75TCKROKNFV+PZIAg6EtFUCn01WnY1SkpKDoDzvSg1xrwctsD3A9CJmb8PgiAqIkzOI6KUnGfHEnXExz5wqg1DLmJ8T1X9iIi6A5jHzC+KyANwhdMka+1Cz/NuUNVDh+Z5jwVse9UjepOnOqqL0oqhWXqoq+rZNTU1f6+qqlrW1jUNF51GAAiCoIyZ077vf9PWfYMguNYY86CIjInH4y8FQXD5V17uHsD7Hdog53ZV+rLUdSEGwalztvN9f9iMGTO8aDR6GrnMjBeNMX8zxrC1doP/BJzKp4uq9gHQR0S2JSdh7bSK0KWtwgIA1pPSlyTZmKWuzMyqKuSCzyao6seRSCSw1uZFpGNYOG0HYAAR9Y2CmtzEp22IYi0zf6OqHUXkxEQi8V5bI5JkMrleVQ8HMDGbzTZ6ntdTVYeq6iByWGytTRpjeqhqX2NMTEQWz5kzZzHc53sDfN+flEqljhCXDGyJ6Nt/tpcKWW/3HgL02EbouVQq9We4lNFPZs+efWohbK+kpOQqVf3zsGHDGpPJZF8Ao8PuRD9V/VxEJpeVlf2xNRcilED/C8AdW1JYBEFwkYgcISKjN/V5K6KIAoqdiyL+z+HLL78clM1mzxWRX8GRAtur6joieltV388Yc85zJfmyOUZj6wmIgBbmoTdN6V31BMLFIlR97AYXgnZ5y+PPnj27ay6X25eIDlDVvcOW/zq48UacmSMiQnAEwgwRdYOTSZbAOVluCzcSuBPA7wH8K5PJXD1s2LC1IUfgf+Bm98/BuUJO9DyvXESOgwsQOzMej38BbAhde0lVh8ApXN4BnBxXVU9S1WMBNBtjxhR8QTaFIAheA3Ch7/sL27itl6q+XlZWtnsmk3mLiH4rIveKyB8u7CiHE+hP2LjAWHx6Ez9WlafLyHFdJgP4IByxXEtEEz3Pu+0/idcetaA6porUpm4/KcNLh2dpXliclBFRtarm4AqJreDepxI46WtWVdcCWNpAuuT6cvmVbWNTFVXk/thg0hXR6KG5XO4IVd3Z9/2L2nr+IAgeJ6JDAEwNFSxd1Hl2TA45E3cy89thF6NOROYi5DjAqUY+CBf+D/v165cJguAAIrpVRHaYVKLZ8VHtagmlAFCqWP+bZuJh4h0Yi8U+LJxDOp3eSVXHq+q/AIyCI79OJqI3fmzEETqZPk9EE3zf//tPvxsbipFHiKi5ubn5/M3lZRTxy0axuCji/zQKiyyA44iofd7apXeW69bfsf5b3DkTrn6v96CxgFu0iegdVTXGmF/B2VzvoapDiKivqnYhZ9KUB5APuxEGTqq5HsBXIvIIEZ2cz+df8jzvJHKqgT7M/BsReZuZT1Tnc3Cp7/svAK6oEZHfq+rFRPRUyBloJyIZZn6mpKTkhk1kglxIRDcA+ISZzy8w+cOAuAkACmOGx6PR6HNtLepBELzPzIe2JSkMguAVZn4wFou9FwTBtao6n4h2ZuaZsVjsjVHfzKyCoeNEaavOgvnXNHrD2wOLVHVQJBK5JpfLjYPjikxU1Yv/NzvbwxZNb7cu6y0ntN29uLiJX+6bwyfkFBdD4ci7TEQfAnhFRFIVFRXpPqFh07Rp08q6dOnSWVW7PhHJXf+FJ8e2akfooRn+5KAcbwsXOpaHs95eCcdRyYTH7yAui6QJzsb8L9baLwDcbow5A8BqY8zqXC73GziuzUUh0XLD9Q4Tg3dn5tFwBNv2cOTXU25tJzstYXm0jZdswbLbg/UlTWF3bbS6JNn3ReRhY8wHsVgsuznXNgiC+wAs9X1/s5wyq6urtzXGPA/gyc0tRoooAigWF0X8TDB37tySpqamw9MRXPJImeze1n1KgfzYBrOEFRH8wOIndf4MOXWR4EtVdTYRTQPwtap+m8/nvx0yZMjyZDI5hpnvVyeJnQpgT7hi43pVjQD4AxE1xmKxAalU6jNVfZOZL7DWHrhq1apk9+7db1XV3vl8/hpjzPPGmCnW2t+Go5OvVLW9qj7R0NDw9IgRI5pan38QBCNU9WkAjcz8FhHdGovFGmbNmtXJ87wpAE6B28WeSC6EbKO02iAIZvi+P7SN4+4P4He+7/8GcJHuInIWEU0CsH08Hr+jcN9kMnkMEV2tqleRI94+Cbc4ZlT1TgDnEdHU5ubmPxXImZuLlq39V6N27/eiulXr+wzMY8V5zV6NugC3Jcx8Z2Vl5bjq6urenuddAmA3Vb3L9/2XyflDcG1t7QgROUZV9yOime+UIPlm1CZUsQMRviLQA+/tUDUzXEj/lc/n9w8t2h8movkhZ+MzAEljzBK4ILl7w5FWSlXPUtUJzNwpJBL3JqJ2IR/kGyJao041s4ZcwusaIloTdrxOVZetsvM15basgbBbW9dmO6EJV63n5ao60Vo7z/O8sfF4fO+2xjabQhAENwLYxvf9TfJOWt1/BIBHVPX8RCIxdXOfp4gigGJxUcTPDCPn15wO6GObuv3G9SbVTeCFX/IdiWg7uN3pOwBmMPOMaDT6RVvdg2Qy+ToR7Qzg43g8fmY6nf7QWns7OU+OU+EWlWVhR2JbVe2pqrur6lAielhV37XWvuB53mtwO9shAJ4rLS29sl+/fpnQKvxkIjqWiCYx80OtvQbS6fRO1toXAHxMRHsR0b2xWOzpVCp1iKqekEgkTgjPdSi7kLk9iWictfYRZn6pdSJqGMT2sbX2iEGDBn0PbAiumsHMp4nI+b7v/762tnYbEXkIwFLP8y7PZDI9iegVACAij5lHxGKxVeqkjkeFBciLZWVlf27rWgIbFDl7MPMRcCqVknC8xaKqE0vR/GFEd2wg7cpEi63Kw2W58rveDo+XTCYHkDOo2ltVnzfGPEZEFdbay+DyXebDkYJnEtFLy5cvf7ul3LWAKVOmeF27dq2CG12cAdeleFFElhHRgfF4/GBqpSZKJpNfENEq3/cPDILgC9/3d2lx2z5EdAeAsb7vvzpr1qxOADpFo9FO1tqOcPwcX0TOBvAiOQ+N7S+ssP0UiLd1rVT1jal9Bo8BgCAIXiWiu7eEL9HafXMz7n+6iJzued5xP+V3UUQRbaFYXBTxs8I+C2YdQ0ovtnWbAjK2gd9sr1SmqrNUNU1ENxLRYma+WkQKKpV+cJ2NAGHBYa1NE1EabhRwFpwLZ2/f96+rqanZjZnvjEQiJ+dyuUlw6oUGONdGQ87S+Uq4AKhXAbRXN485NhaLfdb6PFuFpjER3dfSZXL27Nld8/n8y6o6LvRv2BPAlQDOJaLXWsoDW6TVng7Xhr8sm80+U1AXpFKp61W12ff9u1qeQxAErxDRzar6gKreR0RXh0ZLdZ7n3QBgoLrgqluIaBff9y9u+fgWIWxHq+odvu+/HARBJyLaX1UPY+Zd1fkrZFT1a2aeqqoBEc1Ip9N1m7MAFjB37twOTU1NxxPR+XD+IWVwPhoRdU6q98disWdaFgitCJAbnChFZJox5q1MJrPPsGHD1oZS0uUts2vC63Orqp7Q0NAQq6io+LBl0RZKNT+rr6/ftmUHKixidjLG7C8i18B5YWwNR+RceHeZ3Xue0e6beJkPvL/DoAvCrtI1vu8fubnXJwiCQ1X1koqKikP6/ES2x5QpU7xChy2Tyfy+pQqliCK2BMXiooifFQ5cmO6SsblvAHRsfVsXUOrVHar8ZDLZOWTwDwVwfrjIfQ2gGmGKaDQarbXWdg5VAEPDlnp/AKuI6G4AZ7Rr127P+vp6ZeZJ+Xx+zODBg+fX1tb2m6f5D18o08aV0D5RADtYWvLrZlrTCbQNnIHUxEwmc+LmfHGn0+nB6myxh6vq8wAeTSQSq0OuxZNwcsyHwp2yBbCziIxqzXkoRMWr6ktEdDwRfQ7gHVW9KpPJ7NGapJdKpc4loo7W2quY+YUwrO18VR2tqmPhLNRvIKIecCOVr1s+F4CCj8muAI5Q1e7qZKYrVPUTY8xLTU1N4/+3i1c6nY6JyDEADgUwm4jmABikTmb8oOd5H+ZyuYuJaG8R+ZiZoyIyrOA3YYyZEIvFvm15zGQyeRoz94/H41eHEe1TmPmyWCz2eeE+NTU1+xHRnUR0NYDbCtky4W17GWNeFZHfEFEMPxSs5SEvJ66q9xpjxqXT6brKysq9VfWe50vsmx9HcX0bLzMP1V3e7zO4OgiCSexC99KbeX12FZH7VPWgRCKx+sfuGxatz8N15m7akpFLEUW0RrG4KOJnh1HzZx2iwFMAdS38jkHJ6xtItyJzYssv5iAIRgK4g5n/CuCLQjEBF5O+FZyN8ww4dUcHInpQVfeGUyNEAAwioukiMomZa+8ut+sXQN8W/GD+BAAdBdlrGyjfns17qrp9uAi+KSLjfupLHwCmT5/eMRqNHkdEvyenjngwHo8HqVTqRiKqXLdu3SnhiOFBAHki2rUlkTAIgq0APO77/iEFHkLI38iKyONE9KTv+0sBQF1w2vUALmPmbwCMU9UjVPXBurq6v4dJs7fCSVz3CEc+Q4moUlV7wcltG+GUEeUAJqnqx8x8qKp2YOZLNndxbAstCoojACxU1X8YY15vSWqcPXu2n8/nr2PmfUWkWZ1LaTMRdSeiO2pra5/ZVHdEVTmVSn3IzKfEYrGvgiDYEcCLkUhkZIEoG3aEqpn5AxHZjYieJqKdVHVnODJoeyK6Hy7rJl1RUZFet25dN2YeJyK/r6qqmhkWLtcDGBGJRE4dMGDAopHza05X6FhyyaUAYaGCzpvau2pcEASHAhjj+/6mfEdaX6dKEXkOwKFtKYRaIplM+kT0NDPfEIvF3tic4xdRxI+hWFwU8bOE62BkD1agJwO13XrPnXB9sv9OzPzP0tLSfQvaf1WlVCo1G0Da9/2jWh+nrq6uZyaTGcHMT8G5PX6pqjuRC9rqA+Db0BsirqpDH2ivv53D0qWtcyohvmpi78QdurEF8yhV7UREE1R1XFtGSy0RPnbfkE/Rm4geFJEyIjohl8sdvXbt2tXdunX7GI5k+YdYLPY0EWkQBAMBXOv7/kkAEMofT2lubj63tLR0jKqeAMCIyGvMfCQRzVPVA9S5S74ciUTuzGazOxJRjIgqReQEOEfRmUT0qapaY0xPERkEZ6n+JjO/1rorEI6Q/kguw+KGQkHzU2hRUIwB8B0RvWStfaWqqmo98G+8iVGq2ilUU0wlom0AnEVEC6y1LxpjhoWdqPtra2v/2VaRERad5/i+fxwApFKpS0RkNBG9ExZR/eFGYwIXcPYXa+20bDY7u6Sk5BNV1UQiMajF6+7BzOOY+YJYLPZ5bW1tb2vtUwDej8fjN7cc2ey+cFpZqZRXWkZ2/dJs3Yxhw3JhwfMxgGN/qlAA3Oc2VPD8pPtmWLT8AcBJW+LUWUQRP4ZicVHELwqpVOo3qnp4QRkR/u52VT22tLR0YFvkw3Q6/VsReZCI/qyqMVV9mpn7i8jJzDxNVfsBqFDV5TeW2/1XM7WVBotYDovObjbvMfOsfD4/zfO8L2Ox2Ko5c+Z0y2Qyo8L5/26b29VIJpN9wyLjEAC1zDwwl8sdXVJSsjKfz38A4F040uiV4UOO933/wnCk8rG1dkyBxBl2K/4n5C0YclHoApfBArhQs1pywWOqqqcwcy9V/RIueGuSqo7bXFlkKpU6TFVvJhdmdmtb8tiampo+Ibn1WACLiOglInq1cN9N8SastZPaCqRrQXKNW2tfNcZ0AfArVX1o5cqVj48aNSrfcmRGRBeraj05N9Fvw47Tu6r692w2OzsajV5ORIcDWGyMubSysnJuTU3NbkR0NhFtn8lkjhw2bNjaUM3zFoDrfN9/P51OHy0i1wE4z/f9aT91rcJzP5WZB2xOONnmum+G7/mVRLR3Pp8/8T8J8SuiiE2hWFwU8YtDKpV6RFVn+b7/MLChffw6gHN935/Uxv0/E5HecLvfk/P5/GXGmFcjkcj+AwcOXAkANTU1hzHz7deV287rCNu09bzbKU+4sh4NRLQDEfVU1Q6qaomokZx3Rr2qLiMnoewAZwoFADNFZKox5gtVXQVgVSaTWVXgSRRkuER0BRzX4WZm/kpVjxORW5j5TnIx5TN83784mUzeoKpNnueNt9ZWEtEecM6nkfD5FhPRpwCGq8vnSMIlgPYnosMAnKiqeVV9jZn/uDk76bYwffr0SDQaPQ3A2QAerqur+3u/fv16eZ43hogOU2cZ/rLnea8NGDCgPoww3yMsJoYT0VwRmUxEb2/JOQRBsJWInMPMJxHR93CS5B1VdW1Ivk2rI/uuIaJLY7HYCCKScNF+3xhzRGVl5YJ0Or2ntfaP7JLLLqyqqpqZTCbvBfAOM/9WRG4pKytb1Nzc/Laq3tbQ0DCloqLidiLaJpfLnbm5i3loYvXZ5oSThfd9G8B9vu+/tqn7pdPpchF5CsB3s2fPvnRLCLRFFLE5KBYXRfziEO7c31PVCxOJxAwASCaTcwBMTSQSZ7a8b11dXUUul1sE4AMAnYwxZ1lrHyk8trD7g0vlPOGCDvZyAl3b1vOe2Mzv7ppFOTnpYR2AGcaYBarqiUgcPxD/1gH4kpnnq2q9iOxIREPImUatV9XV6pxBC06TBk5OuzocY+wGl6nRQERvhmOLU+Ha+EvCguErODVMezjS5UIiWkhE18Zisa8AoLq6ejgzP09EXeH8PL4D8LQ6V1A7e/bsof+NRSkIgoFEdI861cs3RHR3SUnJv/L5fCSXy+0bFhO7w3mQTEaLjIyfOnahExEWUTE4Lk03ACvgCKAMYBc4o6zvVHVgq07GPUQ00/f9ZwAglUrtoaq3zp49e3Tfvn05Go3OJOdp8Tvf9z9IpVKzmHl4GDD2nohcoaoPqVPEPKqqjyYSibaMsn7s+lwOgH4snAzYMDJ7gX7CfTOZTPYloheI6P54PP6PLTmXIorYXBSLiyJ+kaitre2dz+dfK3QfgiC4RlXPTSQSvVrer6am5lxmvgPAfXC20d2IaFo8Hv9bOp0ut9Y+wcyrli9fft6oUaPyI5ely9GY+xdc3ggAJ4El4N73dxh0OeAKlmw2uzMzx0LyaBWArmiRCsvMaq3tC1dw7AgXxjVTXUZJJyIaAudgOV5Vx2Wz2dkdOnTonc/nh1lrhwI4AUD771jLJpRo/jtWagfKD86C982xGGBF2M0gOGLmZ3Dk1QoAvcPnXASgF4D6SCQyUlW75vP5q1T1SGPMx0R03k9Zjm8KYXjcr8N/DOBla+0nxpgb4AqA9QCaiOi9UNXxo+OWTRQR24bXbYaqpo0xtcaYmrbcSwueGaq6LxEtgZOI/g3A83Cx8HsU+B1BEPyBiPLxePzWZDL5NlzRdjYzLxORU3zfPyMIgisAnKCqd5EzyzrWGHPqll6vcKQytXU42Sau6U+6byaTyb0B/JmZzypYzBdRxP8PFIuLIn6xCOf+Z8Tj8TFz5szZJpfLzVLV0YlEIijcJ5lM1sGpHpaLyBPMPMz3/ZPCxfF5VX0skUg8udGBVWnUguqDFTwCqg1M9M57O/x4gmSY+dC7RcExFEBfOHLkDAB1xpiGfD7fjYiGwpktlcP9DXcMz3Gdqs4SkfFENOuzqF7zbInur4SNotq7Cs2+oYF2YCJR1XsB5IwxB4lINyJKisjXxpilItJBVQ8noh0BfAigU8ht6EBESwG0C5NP6wBUq+p8Zl4MYDURrUZoh22tXRGLxbKhA+bRAH5NRATg1VwulzbGDCGi0QB6EtFHIjJHVfc3xtRba6+qqqqaVzj3WbNmdTLG7MjMMQCVqhoDsA1cIVKrqrWqms7n8zVDhgxZvkUfCGzkmXEmnLS3I1zCaioej9/o3l7lVCo1UVVvYOa9VPU0IvoXgHIReT2bzU4NSZ1Lwu7KN8x8xeZadLdEKpX6k4h8mUgknvix+22O+2YymTyTiE5g5uNjsdiSLT2XIorYEhSLiyJ+0UilUner6hLf9+9MJpNpVX27qqrqcsAtNM3NzcsBvK+qnxPR6Ewms180Gh0G4M/GmLNbeh/8tzFlyhSvc+fOvud5B8CNXQaqajdVZSJarKp1RLSYiNZaa3szcwJACTnzqNUXledzQlTV1rF/38hfD7Kk4Rjle8/zzhk4cOCM1vcLguAQAHcZYw5PpVLfDBw4cJ6q/jORSFwzbdq0su7duw9oamo6iYjGENEKANNVdTmAzuG/reDSYLsTkVHVRlVtCkmS7Zh5marOYebpqjoPPxQmuXw+vxcznwNXYK2AG2dsVEQQUbC5ipMtQThi2NcYc661dhdyia1j27dv/8c+ffo0h8Xla/M9umk5yYP1KvU7Kns8/7tEr169niSXF7M7gFMTicT4/+QcCoqPFStW7NqWs2gBqVTqdACHbsp9MxwDPghAmfm8/6TIKaKILUWxuCjiF43Qa2CSiNzAzIMBXOr7/g6Aa38DuJpcsqUQUSGf4r+++wvJipUUSj3V+SVUENE3hYXUGFNbWVlZW1tbG0FoUtWiy9EDwBxVTTNzRhgVF7TLX0TYuGtRQCKHCac3cTdmnqeqH8MROsfX19ePbekqWVNT056Z6wCcAyBLRE8x85DKysrFrY/ZQo2xN1wuSwkzl4nI3JAfUgXHm5hqjJlORN+JyLYiUsnMA+BGMb1UtVN4yBy57ooHoJOILGPmNFyg2OrCv0KXpGW3pH///kuolWX3f4pkMtnXGHO3iBwIR7p9sKGh4c43ure7Y0aETs9BSwv37Wsx95xG/r4U5KnqykQiccT/4nkfZeZx8Xh83Kbu81PumzNnzuwejUafE5FJiURi7H96LkUUsaUoFhdF/OJRU1OzHTOP9zzv6Hw+P52Zd47FYkuSyeQycqFi36rq3QAOIqIcEV3wn+7+QjOsnVqMPyrhCoNlCKWeBdOln7Jqbo26urqe+Xx+qKoOFWDopRX2ELuJv/EdLB6+vMl7UUSa6f+1d/dRUtXnHcC/z+8O7C7sAi6HaLXyIoYNzNyZBT2nNfiySzlqEomeKJXEkDSlzUtLaHwJYmp8Ccgx0Wq0TWIoaqNiLE0TK1FTBBcEPaahsHPvzu7aFQEh6pElRoOwM8z9Pf1j7sRxnZl9YV8Av59z9g9m7tz5zXJgn73393wfka+JyLSwCIiLyD/l8zHO352ccn4G23Y62nmKSuXsrNl7xcfcc7ufLxwNP89au0BE6iQ36vw0AApgi6qudhxndxAEHy0ooE5DrkOlPSyKWq21qXg8/kqR79uokSNHXiMiVxljHgKwNSxCTlLV/FWS7l/5H/oVAN5GrgB5TVXfd+umsCg5ePDg/lIjxT3PW+84TrO1dsHrBqNXjg7GoMj49rrArL/6yMgrjhw58kvXdS8o+5dWQjKZrDPG3Oe6bmOpY3pK30ylUjODILhfVb+ZSCQ29mcdRP3F4oIIQCqVmmOtvWGvsROfH4mdXkR/s6jLuXFKxu4xxqwDcJaqruvtb3/btm0bUVVVNa1gg+FZAE4FcCh/Wd8Y87+lNhgOhIZdzU9AMK/74wLgG4ed56cGIgBOttbuEZHnNBfmdZHmYrrfXV1lf5qM6Hfx3g9pKGChuG7zlPq7d+zYMW7EiBGXWmsXAZgqIl2qqsaY7dbafcaYtKq6AFzkbmn8FsBGEXnKWptyXXdXbzo+CrW1tY0PguCbqjpbVW/szbTOjo6OikwmcxJyqZe1AGqDIKhFrgCpFZH84/lj8ld7FLkNofkvR0TmWGtXfm9UcM6+iHy5+3uFdm+aXD+l1BTa3uhpOFlP6ZstLS0LrLWPZI3mAAALMElEQVTfUNXPFu5ZIRoqLC6IQktebt7iOZgNee/fRV0Wv//yYWdvxNq/TyQSW4q9Ln/FwFqbLyTOVNVKyY3jLvsb+WCa86o/1dpgI3LdHwByxcEIYOVd75jHJbcfI4FcnsUpxhioapWIvJ21dvSyGlvdJR+c0QIg/Z2DTnKc1brw1sPrmgubiiC3CfKlws/tuu4uABJGji9U1Vmq+jMpiBzvq+bm5mmRSGSFqo6z1l6TSCRa+nOeclRV2tvba1W1VlVrgyCoNcZcZ63deeMYNe9AF5V46bubJtdXe563PR6Pz+rr+/Y0nKxc+ubatWudGTNm3KaqMyorKz+fT6IlGmosLogANOxKXgzRp4s9N9bqHf91xsyl3dIb8xHQtQD2SG5iaqv0Y6rnYJr32rZRf8hE/hpAPRSd6uh/bp44s2gLYjKZnGKMqQfQ8FsH8dtHBQ2lznt52mxoyMg7AF40xvgi0tbb0dwFc1KuQi6PY1Umk3m81O2IclKp1J+FQVYvi8jNg90FkUwmPyIiv7purDyY0eDeEoft2DS5fpbv+02VlZWX9vUHfLnhZOXSN9vb22uy2ezDANqj0ei3BmrPCVF/sLggAtCwp/k+KL5S7Dmj2HHPQccAeAOAJyItQRC0jBkzprWv+yKOF3+xs3la4OClUs+fnTXLF/w+s7w/BUEhz/M+Zoz5q7DldYuI/CgajTb39TyFceKRSOS2wbrVBACe5y37nai5pUb/DrksjfdRlc9tnpL4aUtLyxpr7fJ4PN7e23OHn+PTxYaTlUvfDMe8rwFwu+u6P+/HxyIaUCwuiAA07t7xqEI+W/RJRcemKfXThnhJw2q+rnX275m2D7kwqfcRIPjWYeexk49ofdgSuwHAhnzaaX+EOR+NYbfJR1X1sYqKivvr6uo6e3uOYnHig3EFKT++/uGxI776a5u+VaAXAoiMUek6NyPPLq2LfwoAfN+/U0SejMViTb05r5YZTlYufTOVSl1srb3NWvvFwbg9RNQfLC6IADTs3vGPgKwo8fQvNk2u/8yQLugY0Lin+S9V8Shy8eLvUb1105SZtwAfGB42VXLj5zc4jrOxpzkYpXiedxKA+SLyJRHZC+Dh/fv3P10u66FQODfjOgDzVPX2eDz+H/1ZRzm+718JYLbruks+0dFRcXj02zX/8rvK9QAkFovNDI+5VlXfiMfja3pzznA4WV0sFruhyPvdKyJvxmKxFd0e/wcAl1lrr0wkEm8OwEcjGhAsLogAnNexfYIzwiSBDwwdS6vR80rtUzjRNb6yPaGOczUU0wTYJ1ZXP3tG/fpix4ZXH+qRG3s+B7mcjuestRuqqqq2FJs425NUKhUNN4FeLCK/EpHV+dknPWlubj4tEoncpKqTrbU3JBLlU1L7yvf9JmPM4vzeCN/3VwD4hKrOj8fjr4QTeP+0p5kgwB9vebxojJnTvSjzPO8mETm1MH0zPP7HItLV1dW1+GhvTxENNBYXRKE5r2yfZI25HcBFmstGeBFGl31YC4ujlUwmR4vIOcaYuQA+rqrpvg4ey+vo6KhIp9MXAlhorZ0I4AHHcR4tNqq9u7Bt82YREWvtsoHq2gm7Or7tuu688M/11trVIvJALBb7oed5FwC4NB6PX9PTucLhZHBd987Cx4ulb4Yx6o8B+LdyA8qIhhOLC6JiVAV9zGCg8lKp1ClBEJx3tCPTwzTThSJyVZieusp13Y09FSue580VkdsAvJjNZm/u7cjzclpaWtao6k9c110fvocHYF88Hv9kc3PzNMdxbnVdt/henlCp4WTF0jd93/84gB+r6uLeZHwQDRcWF0Q0LPL7NURkHoAzwqFlG6qqqv67t+2b+chxa+1sY8wvjxw5ct/MmTN3lzo+3Bh5uYgsU9W1NTU19xxNx0+Y7vqLzs7OcxobG7O+768EcGV1dXX00KFDEWvtkz2ldBYbTlYsfbOlpeVvrbWLIpHIlb1t+yUaLiwuiGjYvfDCC1XV1dWzjTFzrbUNImIkHLeeyWQ297SnIHz9JSLyNwBERB7p6ur6Wakx5WHHx9cALBKRO/Nx5/1Zu+d5ywHsjcfjq5LJ5CxjzBoAS1zXfaanlM5iw8m6p282NTVFJkyYsEJVJ6XT6UU9jV4nOhawuCCiY8727dsnRCKRhrDYmJ1veXUcZ100Gm0t91rf909X1c+JyAIR+R8ReTgajW4tdmwqlapV1aWqOhvAt13X3dTXtYbdKVvT6fQFZ5999tu+77+sqk/F4/ElPaV0+r7/ryLyRH44Wff0zba2tvHZbPZRVX2Wg8foeMLigoiOef1peVVV09vI8dbW1klBECwHcIqqXhuPx/2+rM/3/UUicmYsFrshzLe4LBaLnVkupTMcTvYj13XnAH9M33zaGLM0Go1u9X0/DuAhY8xN0Wj0ib6sh2i4sbggouNKt5bXRgBjemp57W3keNgB8l0Aex3Hub7YaPliwgCsrQAWIjcA7XFVPd8Ys7xUSmfhcLLu6Zu+718C4BYAC7vPDyE6HrC4IKLjWl9bXn3fny4iXywXOZ7vLBGRpoqKipW92WDq+34DgK+6rrvA9/29AO4AMLFYSmdYxCxzXfczhembsVjsAd/3l4rI+dls9qqB6GghGg4sLojohNLbltdukeOnA3gsEok8Mn369APAe3HiIvJ1AKs7Ozt/0FNKaEtLy+MicmcQBF8Ip86uLZbSWTicLJ++KSLft9b+BMC+tra2a46V4XdE/cHigohOaKlUKhoEwSUiMhfAqcVaXlOpVG0QBFcUixwPr4wsFpHLVfWOcnHivu9PFZEHjTFLgyB4UkSuVtWPFIZjFQ4ny6dvqur3ROTfReSfY7HYQ4P/XSEaXCwuiOhDo1zL64EDBzY1NjZmS0WO5+PEAUxX1WWu675Q7D08z7sbwDYR+b6I3AHg5Fgsdi3w/uFkInKRtXaeiNytqncZY74Si8WYBksnBBYXRPShVaTldZeqrlPVZ0aNGvXa4cOHPy0iX1DVCQgjx621pwO4pVScuOd5J4lIkzFmt7V2FIAD+ZROz/O+ZIyZpqrPq+rVAH4uIvONMQui0egbQ/8dIBocLC6IiEKFLa/W2jONMb8JW15TQRDMK4wcD1+ywhiTzGQyN86aNWt//jy+7y8xxsRV9TJVbXFdtyHsCPm14zjXBkGwUlX/D8Ahx3EWR6PRzLB8YKJBwuKCiKiIIi2vY0Vks6ruMcacZa2daYxZl81m3zTGLCqME29qaoqMHz9+a1oQe9XBm/fU4NK73sKnKo0ZZ639JIA/AHiCwVh0omJxQUTUC6lUqjoIgj/Pt7wCOGKtfR3AVADvisgbqloP4N52173/mZ3eg7sc/XxWcv/PjrVIL0hLZyxr3rHWfj2RSGwcxo9DNKhYXBAR9UNra+ufZLPZc8OW1/PCh8cBeOupkRo8XWHd7q8x0GzDYZ170/RZnGhKJzQWF0RERynsApkF4EIA86+vztYcEpla7FgR3Nw0qf47Q7tCoqEVGe4FEBEd70TEAtgWfq1s2N1csvMjDOwiOqGZ4V4AEdEJaF+pJxTy6lAuhGg4sLggIhpgIlhV7HEFDinkkaFeD9FQY3FBRDTAmibVrxLR6wG8W/DwywAueW5yYtcwLYtoyHBDJxHRIJnd3l4zsiI9A0YP6sS3Xtok5QefERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERGdoP4fpbHZpQTGMRkAAAAASUVORK5CYII=", "image/svg+xml": "\n\n\n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, UnitBox{Float64, Float64, Float64, Float64}(-1.2, -1.2, 2.4, 2.4, 0.0mm, 0.0mm, 0.0mm, 0.0mm), nothing, nothing, nothing, List([Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.LinePrimitive}(Compose.LinePrimitive[Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.5011755612090399cx, -0.2968438318096338cy), (0.30079480475316467cx, -0.9830310522185256cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.4931996993847929cx, -0.29192832924535245cy), (-0.22867931658343235cx, -0.9648100068803841cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.5102704195472012cx, -0.26268872969883217cy), (0.6026601687111048cx, 0.12088292800406886cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.4900940199932448cx, -0.2873126477166677cy), (0.17320268770241293cx, -0.43428458467704306cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.5084824216999703cx, -0.2623543225485001cy), (0.5836835167040731cx, 0.29793525840041857cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.49401504681669095cx, -0.2670021415625406cy), (0.18347836569879025cx, 0.06293564180856309cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.5186880354011213cx, -0.26743233996811694cy), (0.904748082902069cx, 0.11510292340145103cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.511436004055192cx, -0.2967377206604008cy), (0.6579029135293655cx, -0.7622932878443776cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.5015575019307553cx, -0.262799036833764cy), (0.27524395420787806cx, 0.5822059714015886cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.496125969704041cx, -0.2653008480967234cy), (-0.0701793719429492cx, 0.5596326307275014cy)]) … Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.9957787836041024cx, 0.3110657174777186cy), (-0.8655819285609049cx, -0.21840163924852352cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.15103658645254345cx, -0.10912612958833702cy), (0.09413492569224689cx, 0.4129578766968107cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.6784062973419327cx, 0.11714789750149648cy), (0.23619324869335373cx, 0.31154043198924525cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.25821863834812603cx, 0.5867339778399754cy), (0.11410107363600437cx, 0.4415068802726234cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.29327610918754093cx, -0.22512647630279015cy), (0.10661920907410154cx, 0.41199442935728514cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.628394003124205cx, 0.6029519609283535cy), (-0.2460213706684914cx, 0.5293086887058013cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.2607339735170269cx, -0.39786150128473763cy), (0.3754641357413726cx, -0.25168281350026556cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.26746508707468486cx, -0.410700435149943cy), (0.34881668103277086cx, -0.4057807570477275cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.23560285245884666cx, -0.42227384002093593cy), (-0.04178958959151528cx, -0.6272686867098723cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.09747269448184218cx, 0.44613628178705794cy), (0.00010905385603396205cx, 0.8465857971791333cy)])], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.21213203435596426mm)]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.21213203435596426mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}}(Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}[Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.5061308423503674cx, -0.2798748840281594cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.4958134141034163cx, -0.3925102172583831cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.3642817264209379cx, 0.6795337575563138cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.026785258165967107cx, -0.46548804146408285cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.2958395236118372cx, -1.0cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.24161045954900684cx, -0.9768634520975771cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.39622444987408034cx, -0.10373305518745846cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.10922009979341896cx, 0.30273944082709847cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.7665519977501882cx, 0.1864541378614495cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.6067997459079386cx, 0.1380690823333961cy), 0.007071067811865475w) … Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.31624230323594427cx, -0.6722829423370034cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.10164909819586443cx, 0.42895903951661474cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.386378455275741cx, -0.23777678498376575cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.8613607121650073cx, -0.23556792399913296cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.41088189441508227cx, -0.514543501757438cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.36646211412479723cx, -0.404713662396433cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.22001016844213273cx, 0.318654355912267cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.08552216850142957cx, -0.4797498859493896cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.056006391115327125cx, -0.6377749969295708cy), 0.007071067811865475w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.004067349857988289cx, 0.8637630394495766cy), 0.007071067811865475w)], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.25098039215686274,0.8784313725490196,0.8156862745098039,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))]), List([]), List([]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "display(gplot(random_regular_graph(200, 2)))\n", "display(gplot(random_regular_graph(200, 5)))\n", "display(gplot(random_regular_graph(200, 10)))" ] }, { "cell_type": "code", "execution_count": 63, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plots of the maximum percentage of infected people according to tau over 300 time steps for 3 contact networks.\n", "n = 200\n", "betas = 0.01:0.01:0.99\n", "alphas = fill(0.15, length(betas))\n", "\n", "plot = Plots.plot()\n", "for d in [2 3 4 5 10]\n", " net = random_regular_graph(n, d)\n", " predictions, taus = Simulation_SIS(net, 5, betas, alphas, 300, 100)\n", " max_infected = [maximum(col) for col in eachcol(predictions)]\n", " Plots.plot!(max_infected, label = d, xlabel = \"t\", ylabel = \"% of infected\")\n", "end\n", "\n", "png(\"img/q8.png\")\n", "display(plot)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "Question 9 (written): Describe the figure and draw conclusions on the epidemic behavior for different degrees $d$ on regular graphs. Thus, in addition of the inner properties of the disease ($\\alpha$, $\\beta$, $\\tau$) what other parameter is essential in the spreading ? Finally, what analogy can be done with real life from this experiment ?\n", " \n", "> Le degré $d$ du graphe représente le nombre de connections par individus. Ainsi plus $d$ est elevé plus individus se connaissent entre eux et plus l'infection est rapide. On l'observe sur le graphique, le taux d'infectés est directement proportionnel à $d$." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "## Part 2 - SIR and SAIR model\n", " \n", "Unfortunately SIS model is valuable for diseases we can catch back since a cured person can get ill again. This is true for the flu, the cold, etc. However COVID-19 might create immunity for whom already got it and SIS can not take into account immune or dead persons. That is why we propose in this part to consider another model more adapted to COVID-19 called SIR. It stands for Susceptible $\\rightarrow$ Infected $\\rightarrow$ Recovered where the susceptible group contains those who remain susceptible to the infection, the infected group consists of those who not only have the disease but are also in the contagious period of the disease, and the recovered group contains those who were ill, got cured, are not contagious and can not get ill anymore.\n", "\n", "###### M. Youssef and C. Scoglio, _\"An individual-based approach to SIR epidemics in contact networks\"_, Journal of Theoretical Biology 283 (2011)\n", " \n", "One limitation of SIR is that it does not model the reaction of humans when they feel the presence of the epidemic. Indeed, if feeling threaten or surrounded by infected, an individual may change its behaviors: wear mask, wash its hands, etc. This result in a smaller infection rate. That is why in this part we will also consider a variant of SIR called SAIR which stands for Susceptible $\\rightarrow$ Alert $\\rightarrow$ Infected $\\rightarrow$ Recovered. A susceptible individual becomes infected by the infection rate $\\beta_0$, an infected individual recovers and gets immune by the curing rate $\\alpha$, an individual can observe the states of its neighbors, then a susceptible individual might go to the alert state if surrounded by infected individuals with an alert rate $\\kappa$ on each contact with an infected, an alert inividual becomes infected by the infection rate $\\beta_1$ where $0<\\beta_1<\\beta_0$. In our simple SAIR model, an individual can not go back to a susceptible state when he got into the alert state.\n", "\n", "###### F. Darabi Sahneh and C. Scoglio, _\"Epidemic Spread in Human Networks\"_, 50th IEEE Conf. Decision and Contol, Orlando, Florida (2011)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "### 2.1 SIR\n", " \n", "The vector containing the disease status `state` has to change a bit since we added a new state. Hence it will be an `Array{Int32,1}` where Susceptible=0, Infected=1, and Recovered=2." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", " \n", "Question 10 (code): Implement the function `SIR` (respect the header and the specifications). You can use `state` to translate the probabilities. Test your algorithm on `state`, `n7_2A`, and `toulouse_neigh` with arbitrary $\\beta$, $\\alpha$, and $t$. Recovered vertices should appear in a different color (`colorant\"purple\"`).\n", " \n", "###### The corrector should be able to write `new_state = SIR(net,state,beta,alpha,t)` with your code." ] }, { "cell_type": "code", "execution_count": 64, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "SIR" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "function SIR2(net, state, beta, alpha, time)\n", " X = zeros(time+1, 3)\n", " adjacent_matrix = adjacency_matrix(net)\n", " n = nv(net)\n", "\n", " X[1, 1] = sum(state .== 0)\n", " X[1, 2] = sum(state .== 1)\n", " X[1, 3] = sum(state .== 2)\n", "\n", " for t = 2:(time+1)\n", " # println(\"-\"^50, t)\n", " # println(\"state_0 = \", state)\n", "\n", " # on trouve le nombre de voisins de chaque individus\n", " adjacent_infected = adjacent_matrix * (state .== 1)\n", " # println(\"adjacent = \", number_infected_adjacent)\n", "\n", " # calcul des probas d'infection\n", " proba_infection = (state .== 0) .* (adjacent_infected .!= 0) .* (1 .- (\n", " (state .== 0) .* fill(1 - beta, n)\n", " ) .^ adjacent_infected)\n", " # println(\"proba_i = \", proba_infection\n", "\n", " # tirage au sort des infections\n", " state[((state.==0).*(adjacent_infected.!=0).*rand(n)).=(1-alpha)] .= 2\n", " # println(\"state_g = \", state)\n", "\n", " X[t, 1] = sum(state .== 0)\n", " X[t, 2] = sum(state .== 1)\n", " X[t, 3] = sum(state .== 2)\n", " end\n", " return state, X\n", "end\n", "\n", "\"\"\"\n", "Take a contact network at a certain state and apply t time steps of an SIR model.\n", "\n", "* PARAMS\n", " - net (LightGraph): graph representing the contact network\n", " - state (Array{Int32,1}): disease status of each vertex\n", " - beta (Float64): infection rate\n", " - alpha (Float64): curing rate\n", " - time (Int32): number of time step\n", "\n", "* RETURNS\n", " - (Array{Int32,1}): The new state of the contact network after t time steps\n", "\"\"\"\n", "function SIR(net, state, beta, alpha, time)\n", " new_state, _ = SIR2(net, state, beta, alpha, time)\n", " return new_state\n", "end" ] }, { "cell_type": "code", "execution_count": 65, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, UnitBox{Float64, Float64, Float64, Float64}(-1.2, -1.2, 2.4, 2.4, 0.0mm, 0.0mm, 0.0mm, 0.0mm), nothing, nothing, nothing, List([Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.LinePrimitive}(Compose.LinePrimitive[Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.11738842930466427cx, 0.2851834408127771cy), (0.023403718605846488cx, 0.13750306712952703cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.09878170833400442cx, 0.31108322236030406cy), (-0.28617257849277883cx, 0.21609619326472843cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.11370411812393083cx, 0.3548976085592574cy), (0.012670633086303843cx, 0.48180800704511856cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.1746203328457028cx, 0.34719515200807116cy), (0.511925932744989cx, 0.6019625667860511cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.18160380169717397cx, 0.30947458476588063cy), (0.6276698830809821cx, 0.18084060336448363cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.18276393962926354cx, 0.32800265616266133cy), (0.6458190998061346cx, 0.40068398183812526cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.11065000919469148cx, 0.3522203479514774cy), (-0.08230592514870949cx, 0.5523611229102547cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.11155159732176613cx, 0.2896440120079211cy), (-0.2698705045156893cx, -0.1295041401596303cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.1832492808135809cx, 0.3230423459898093cy), (0.48703992806408036cx, 0.3350114405628102cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.15505506887091897cx, 0.36164952899738423cy), (0.3724471253874048cx, 0.9597049017514812cy)]) … Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.748151452297266cx, 0.16692164110840657cy), (-0.6239400486930494cx, -0.3056954927915333cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.5736404987733017cx, 0.0639999417918849cy), (-0.5439982555522443cx, 0.1867509600764456cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.5870982850202906cx, -0.02041688817331569cy), (-0.6096484071369325cx, -0.3044218254975416cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.894723710007817cx, -0.5502389841489029cy), (-0.6807002286839713cx, -0.4658386371122582cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.8991620504415391cx, -0.5418483856338789cy), (-0.6484889841676855cx, -0.3712813711589784cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.35707428703420513cx, -0.43428971036566333cy), (-0.5980067377903678cx, -0.4477230296649307cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.35551378999691485cx, -0.4202039594172336cy), (-0.5717943307450943cx, -0.35886091614505666cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.5406052650354859cx, 0.18607520545523507cy), (-0.6341436875777025cx, -0.40775736901679405cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.5397717876815695cx, 0.18595229859722032cy), (-0.6072042608490551cx, -0.30468659769047546cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.6296475683212279cx, -0.40871506295677096cy), (-0.6242093221236374cx, -0.3885567161439758cy)])], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.5144957554275265mm)]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.5144957554275265mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}}(Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}[Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.14040787285052447cx, 0.3213544307488654cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.0003842750599862832cx, 0.10133207719343873cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.3277987430092989cx, 0.20582498487616707cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.014033121640289803cx, 0.5153511848555106cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.5461383927401673cx, 0.6278032880452569cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.6688658119276316cx, 0.16896075738149885cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.6881751665848737cx, 0.4073322072519212cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.11206378880454249cx, 0.5832270401128667cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.29872678004444764cx, -0.16121455890057457cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.6273057590748539cx, 0.3568763026022752cy), 0.017149858514250882w) … Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.8565804799135754cx, 0.649565717271269cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.965031297652625cx, 0.40389361014581127cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.9799326629753798cx, -0.9369607387129371cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.7590495078091646cx, 0.20838810563309473cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.5837046989760722cx, 0.0223232436453642cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.9346090414280738cx, -0.5659677994766359cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.31426612756085837cx, -0.43190291824606875cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.5339340553494738cx, 0.2284276582229663cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.6408148972637145cx, -0.4501098217845253cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.6130419931811508cx, -0.34716195731622146cy), 0.017149858514250882w)], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)) … Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))]), List([]), List([]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Test on Karat7\n", "karat7_state = new_state(karat7, 1)\n", "state, X = SIR2(karat7, karat7_state, 0.7, 0.1, 10)\n", "\n", "plot = Plots.plot(1:size(X)[1], X, labels=[\"Susceptible\" \"Infected\" \"Recovered\"], palette=node_colors)\n", "png(\"img/q10_1p.png\")\n", "display(plot)\n", "\n", "nodefillc = node_colors[state.+1]\n", "plot = gplot(karat7, nodefillc = nodefillc)\n", "draw(PNG(\"img/q10_1g.png\", 100cm, 100cm), plot)\n", "display(plot)" ] }, { "cell_type": "code", "execution_count": 66, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, UnitBox{Float64, Float64, Float64, Float64}(-1.2, -1.2, 2.4, 2.4, 0.0mm, 0.0mm, 0.0mm, 0.0mm), nothing, nothing, nothing, List([Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.LinePrimitive}(Compose.LinePrimitive[Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.5315393214109168cx, 0.44531471482196516cy), (0.42519695758515835cx, 0.3652826965436071cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.5399609767678198cx, 0.4393679395466437cy), (0.46044989353349514cx, 0.1859382821756101cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.5493247937237541cx, 0.471742454927281cy), (0.62469460266045cx, 0.7561089836529375cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.5531147049672928cx, 0.4406733693452498cy), (0.578454270164518cx, 0.3944933871039247cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.528236617012048cx, 0.45375896408326266cy), (0.3044253440886737cx, 0.43119034892933295cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.5613814211981432cx, 0.4594443931227953cy), (0.8688304809201524cx, 0.534441715854373cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.5590767658654523cx, 0.4647301186357931cy), (0.8250819795138422cx, 0.6401759859412901cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.551025121563551cx, 0.47119382952881833cy), (0.5784328151929766cx, 0.5428891129129563cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.5611448737305512cx, 0.4603127250133231cy), (0.7567522896294395cx, 0.5192522234092255cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.537281544221498cx, 0.44046952338782597cy), (0.3879017200908228cx, 0.15078991397498978cy)]) … Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.6386432290082362cx, 0.723918145133097cy), (-0.7540154807708631cx, 0.7503426424051768cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.7647100474053121cx, 0.9745542534833554cy), (-0.7070324521801953cx, 0.8974116110966733cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.8270461527887282cx, 0.6456382932605488cy), (-0.7094874691899395cx, 0.506332040080269cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.6836812150210715cx, 0.41413779509975435cy), (-0.6852947032751894cx, 0.5742192448401625cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.6884622334598984cx, 0.8693445854638553cy), (-0.6362172186996646cx, 0.77956338796906cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.5200028103553236cx, 0.68425843639839cy), (-0.6870985147811391cx, 0.5057557394347015cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.6932553749124317cx, 0.6060197697881544cy), (-0.7626542590255433cx, 0.7391592358649821cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.6801552047705596cx, 0.6070703054619571cy), (-0.6330492710179052cx, 0.7489984919302781cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.7536389198424224cx, 0.7553880919208579cy), (-0.6445460318166234cx, 0.7637129404843072cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.6432448890064091cx, 0.7583858641021529cy), (-0.7735477636744812cx, 0.7028396834419465cy)])], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.20225995873897262mm)]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.20225995873897262mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}}(Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}[Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.5450065687455947cx, 0.45545000753197207cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.4640007674376747cx, 0.7615550815976215cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.8381780428996264cx, 0.3235581745228775cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.655253808732088cx, 0.5014060672262377cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.41172971025048044cx, 0.3551474038336002cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.7890681440898577cx, 0.5666968866432149cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.46150774685814744cx, 0.6933543923369192cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.6705487734544611cx, 0.28550144538014344cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.6124450954369556cx, 0.7022805461818364cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.7694588701977128cx, 0.3538435501680812cy), 0.006741998624632421w) … Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.8379164782363198cx, 0.6585195561549373cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.6835113392625639cx, 0.3972836546198135cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.6969395554047952cx, 0.8839125613607834cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.5084841813941148cx, 0.6965633986472111cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.853364291689525cx, 0.7935601736437641cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.698617143742348cx, 0.4934507771858805cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.685464579033697cx, 0.5910733853201033cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.770445054904278cx, 0.7541056203330332cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.6277398967547678cx, 0.7649954120721318cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.7890527559261225cx, 0.6962301354719675cy), 0.006741998624632421w)], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))]), List([]), List([]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Test on n7_2A\n", "n7_2A_state = new_state(n7_2A, 5)\n", "state, X = SIR2(n7_2A, n7_2A_state, 0.9, 0.1, 40)\n", "\n", "plot = Plots.plot(1:size(X)[1], X, labels=[\"Susceptible\" \"Infected\" \"Recovered\"], palette=node_colors)\n", "png(\"img/q10_2p.png\")\n", "display(plot)\n", "\n", "nodefillc = node_colors[state.+1]\n", "plot = gplot(n7_2A, nodefillc = nodefillc)\n", "draw(PNG(\"img/q10_2g.png\", 100cm, 100cm), plot)\n", "display(plot)" ] }, { "cell_type": "code", "execution_count": 67, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhcAAAF6CAYAAACqW3pRAAAABmJLR0QA/wD/AP+gvaeTAAAgAElEQVR4nOzdeXhU1fkH8O+5d2aSkIQASSCyL4Yls4RAAEEUUURRcEXABRDBgIJrXUprrbbVuv5sK1qXuqNi3IValyJuIEpIcs+5ZxJMFW0VWUVEICRz7/n9ce+QAbOSZQDfz/PkYTK599x3hsA9c5b3BQghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhLS6TgB6xDsIQgghhBwZjgewG4AN4Mo4x0IIiaHFOwBCCDlIpwFIAsAAnBvnWAghMahzQQg5XL3JGKsEoAC8FO9gCCGEEHKYU0ppr7/++gIA3eMdCyGEEEKOAEKIk8PhcK94x0EI+TmaFiGEHJYYY71ycnK+jncchJCfo84FIeSwI6XMUkp9F+84CCG1o84FIeSwY1nWhL17974T7zgIIbWjzgUh5LCilGIAVH5+fnW8YyGE1I46F4SQw4oQ4iTLst6PdxyEkLpR54IQcjjp8cMPP2Tn5eV9Fe9ACCGEEHL4WwRAaZq2GVRPhBBCCCEtYAucbJwKwPQ4x0IIIYSQOOsLYAaal03zH3A6FlsBUPIsQgghpI20AzAATjGvQ0UagO/hdAw2oKbYWJNIKQdffvnl5wBIbdnwCCGEEFKXTADfwLmJv+g+lxy/cPYZhJrpDAVgO5wpjtFNaGNoXl7eOwDOavnwCCGEEFKX01FzA68G8Jn7+Il4BgVnlOIfuq5/D6AcNTE2Ni4dzlSIAmDB6awQQgghpA1kAPgazk14OfYfLYj7CIYQ4iIAV6EmprmNPNWnadremPOGt06EhBBCCKlN4j333FNwwQUXZAPYDOdm/FmcY0JFRUUC5/w8ALj++uv/CGBEU86fN2/ec4mJiR8B+E1rxEcIIYSQepSUlHQwTXMSgPQrr7zyTwASD4GYekspR0spB0spBzflXMMwkqWUD7ZWbISQlkcZOsmRJgHAUwCKAZwb51jiIi8v7wcAHQFsu/TSS8sBVMY5JOi6fpRt299ZljXY7/eXNuVcpdTZSqnVrRUbIaTlUeeCHGnOgJNPIQ/AA3GOhbgYY0dpmrZJ0zTV1HM1TRttWdbLrREXIaR1UOeCHGm+jT5gjH1b34FHMtu2N5SWlnaLdxwx2kUikQBjbE1TTiovL+/KGPspNzd3V2sFRghpedS5IEeaVQBO93g8Nz399NOF8Q4mXlJTUz/2er0j4x1HLMbYIL/fH27KOZFIZB5j7JnWiokQ0jqoc0GORG9GIpHb8vLy3jMM45h4BxMPffr0qVRKxX37aRRjTGOMRZp6nlKqeyAQMFojJkJI66HOBTliBQKBNZqmDauoqEiIdyy/cFlLly4dt3Xr1k+acpKUcrRSSrRWUISQ1uOJdwCEtCav1/vknj17zgfwZLxjaWu2bX/OGBsV5zD6AyheuHBhMgAfgGmNOMcD4Pz777//kl27dk1s1egIIYSQg2EYxklSypx4x9HWPB7PLcnJyZsA/A3xK2Q2HTWZNbc08pxfx5xzeyvFRQghhDSPaZpXK6V+SdOA6dg//XdunOI4Stf1rwHYAG5r5DkPwY27ffv2S6WUw5VSh1KVV0IIIQRYt25dhpRycrzjaEM+AJvg3KR/AtC5iednw8kV0mxr1qy5pFOnTu0be/zdd999ta7rqwCsBhDknPflnF/AOS8QQpxOa2gIIYQcMt56660LsrKyboaTZEuPdzxt4Ohx48Y9DSDUxPMmwak+qgAsbG4QpmnObOyxnPOz6ksPXlxcnGma5rluR2NqUVFRWnPjI4QQQprjEdRME8yPcyxtgnN+3vr165taW+QeuO+Tx+N5r7Cw8KA7YqtWrUpq7IiRlPLUpmwdNgwjmXM+gXNewDm/OCZp2HlwFvBOaHrEhBBCSNP8EzWdiz/HOZY2YZrmsYZh9GniacMBfA+gslu3bnOFENM557OklE0udS6EGB8Oh49q6DjO+RghxAlNbT+qoqIiQUp56oMPPliAmlGXSgA0skEIIaRV5QNYlZqa+tHChQuPbcF2GYCuOASnWqLVSA/iVC+ApNgnhBCDOOezTNOcU1pa2h/AXABlAB5FzWtnAAJwFpRen5qa+h2c3SrZcEYSvAdeSEo53DTNsQcRY216w1k8qgBUwSngRgghhLQ+zvmCESNGdEHLfLJ9E87NbC0OgfLmMTqlp6ePWLt27VT3+z44oMNwMJRS7LPPPjsezshAdCToJPfH0Z0eO1Fzk1cAqt0/9ytAJoTIF0Kc3tyYDjATwEvnn3/+fevWrcto4bYJIYSQ2nXs2PEiTdMiAPYAOLUZTWVg/y2fw1ogvOboBeAuOLkivgegevfu/RmAJ+DE9y2AAQA6tMC1/oOajsMA97n/Yv/3I7ZjoQBsB/AYgGMMwwiYpnluC8RRK6UUE0JcQbtLCCGEHCgHwIsA7gfQkrUyXkTNDe+xZrTDAHwKQLn5HFJaILaD1R7AGvz85q6w/yhCFYC9AJp7Y++ZkJBw/bXXXntLzHO3udfYG3O9bw+MR9O0baWlpdObef0GrVq1Ksk0zctb+zqEEEIOL/9GzU3p2hZsdxYAmzFmDR48uLk7R3wA8j744IP5RUVF7VogtoMxCMAPqLtDUdtzLVI1VghxSez3ixcvng9nwawCYOm6/uWBcXi93p/QRrWNysvLu5qmeX5bXIsQ4vglZSwkh6fK6AO/39/JNM0ZnPMJ5eXlqc1s9wkAfXv06JH9zDPPjG1mBsgqACVer/fxhISEVhvmb8A41Kwf2ev+yXRdrzrgOIaam/y/Wujam2J3hOTm5u4AsPDhhx8uBuC/5ZZbPkpMTPy0Q4cOS0eMGPF8v379Sqqrq8+E09FpdQMHDtzAGCsTQpzcFtcjhBBy6OsB4D44yZy8gJNt081vcB7n/DzDME5atWpVdKGiBmAOgN+hkVkpTdMcZhjGPS0RrBDibCllz5Zoq4ly4I5cJCcnL3bXk6jMzMziu++++65OnTqtg9Oh2HDrrbf+Ds7izhZRUVGRwDm/IPq9EOKicDg8Tgjxj9LS0v6c8/vKy8tTDcO4WghxRbxSebu/M0PjcW1CCCGHmdLS0m6c8/NM05wxfPjw36Lmk/kbjW2Dc35jOBw+q7mxKKUY57ygue0cpPbt27c/mnM+d9iwYcOuvvrqF1977bURQojbP/3005l///vfX5w0aVIG5/y8JrSZgkZ00mKnRoQQ04UQb5SUlGRzzh/inPcVQvxGSvmr5iTkaglCiNkxybYIIa2EigGRI83VcEY64PV615aUlPy2srLyvfz8/OqGTuScFyqlFuTm5m5uTgBSyjzbtpOCweCq5rRzsAzDGOLxeNrZth2As2MkH8B6ACGl1Mu2bZcNHjz420Y0lQfgfQCpAK4D8H91Hcg5P83n85UOHDhwgxDiIgBzNE27QSk10bKsjUqpDK/Xe4ff7z9wmqZNKaWYlPKqxx577On77rsvCc5iU0JIC6M1F+RI8ziAZwGsqK6uXuD1etcmJiae6k6hTJBS+uo60efzzdY07e7mBuD3+0sYY3nxqsKam5tbrJTKtW1bMsb6w5ku6QgAmqZ1a2THAgBOh7MDhQGod0FkVVXVu1VVVScAgGVZPgDVtm3PtyzLYIz1SktLu6uOjkV/OB3COuuJtCTGmDr//PPfuP/++8sBfANgUVtcl5BfGhq5IL8Y69aty6iurh5p23YigJ90XV9+4A1PSjlBKZUfCAT+2JxrGYbRWdO00cFg8JVmBX2QOOcdNU07xbbtYxljXzHGuiqlvIyxtYFA4KlGNnMMgPfgJN66GUC974kQ4pKtW7c+nZmZ+bxt29t1Xd+mlOrk8XiuGzhw4M5aTvHBucFnAtgNZx1Is0aNGul8AM+5j7cD6NQG1yTkF4VGLsgvxoABA7YGAoGloVDoxYSEhDVKqVMOHNHw+/3/UkqlHWTK7H1yc3M3M8ZS41W1MxQKbbdt22KMfaWU6sUY6wZnF8l/m9DM6ieffPLicePGjUQDHQsA0DRtQ1paml8p1V/X9QzbtrsxxhYe2LEoLCzUOedDCwsLL4DTsQCAdgC6NCG25lgFZ7oIaMK6nENQEpwpK0IOOTRyQX7x1q1blxGJREZZlpWg6/pOn8+34qGHHlp67733WnA+uR/UVMmIESO6fPvtt89/8803EQA3ACiFs/vlCTgLJefDSRneKtwMlVdrmjZcKdVd0zTh8/muyc7O3tvw2Q7TNGf4/f5nGGOqoWOLioq8y5cvv8fv90/p1avXf3Rdn5KTk/MdAHDO+zLGchljqQASbNsuDgaDxYyxhQBm9uvXz/jiiy+mwlmI2xbaw/m7CLfhNVvSCQCWwtlBNR1OWvU22dpLCCGkicLh8FEffPDBTOxfN2PIQTb3m5g2/u0+d1fMc0ubF23DpJR5hmG8IaUsF0Lc1tTzhRBNyaJ5CwDFGLPOPffc64UQF5mmOUMIcRHnPFjfFlTO+SxK090kD6Lm92gTnEqwj8Q1IkIIIfXywK3LAcCaO3fupINsZy5+ng3zCtRkqXy4uYE2xscff3z/vffeu/O+++67pannNrFz8SHc15aUlHRPUxa0FhUVpQkhpjQ1vl+qbt26zURNafnYL6oCSwghh6qFCxfeqmna/QDONgzjOCHEr4qLizMbPHF/HgCXd+/e/W+PP/74me5zOoCLvF7vgvfff/+Gtkgo5fF4oinUqwGEmnKuaZozmnD4xYyxagBb4WxjbRIavWicwsJC3TTNq1NTU/sHg8EJmqZFO8Jh0Do6Qgg5NJWWlnaTUp4R+5xSShNCTOScX3AwiaCEEPMyMzOz4VRg9bnPdWniyMDB2oSaT7YXNuXEpsRnmubYwsLCwXAzqTZVRUVFe9M0px3Mub8kQoh5JSUlHaSUR5umeXlGRkZX1GwbJoQQcigyTfPyukYUpJSdOOezhBCjGtlcMoAze/bsOVnTtCocsNZCSjlYSnliM0PWACTW8/OrGGO7PB7PZ2hCqXXDMJKFEOc09njTNC9t7LF14ZxfTKMXdeOcnyml9EspRzQx0yohhJB4kVIO5pyPbMxxpmneEA6HezVw6AeoKXMeHT3YGnsA5/wsIcSggwx5IIANbvu/g/MJ9nEAuwAshjtMXlpa2k0IcUJTGpZS+g3DaNRiVs75wCZ0uOo0fvz4gT169HgLzoJFyj8RQ0o52DCMk0zTPNcwjJPiHQ8hhJBGEkJc1pTjDcM4iXM+a/369XWNHOxETafia8aY1blz5zsPPMg0zflNzInhA/A09p/yqK3E+sDoCbHFxRphpq7r33o8nrfhbJutlxBiXhPars9TqIn9rhZq87AnpcwSQkx3d98cbEeUkDZDi38IcQkhTo9EIk0qQ56bm7u8qqrqhZ9++mmyaZq17Sq5A0BlamqqsWDBgpGrV68+efny5bsPPGjLli0PJyYmzmrCDosJcPIbxBYVi07lWO6fmxFTO4Mx1pR/73+2LKtrJBIZD6Degm6GYXSGk2mzJVTX8fhQlwygb2s0XFRU5LVt+0IAHZVSbweDwZ1wtv02af1MHAwGQEXiCCG/XFJKH+f84ua0IYToxzmfK6X0H/izwsJCXQhxpZud8n7O+cADjykrK0tvwu6MoXBHKhhjZeecc85vfD7f54yxSgALp06dej+Aow6I76ImvJz34W7FBTC8vgOFELNbsNppJoC/APgzDp/skz1QM4LU4tuLTdO8QQhx3apVq5Lcpz5GzejO6XDSmb8KoL6/31PhJGx7AY0YiaqDD43/QHq7G99eAM3KdksIIYct0zRnVlRUtMhqe875GM55wYHTHBUVFe055xe7nZD76ogj9+OPPz4DTl2PhnIWnOjxeK5/+umnb3BLvc8SQkxfsWKFp7aORBN3pnScOHHiYwDqXUdRVFTUzjTNeoua/QJciJqb/bYWanMKgK2JiYnrFi9e/CcpZZaU8gzTNGcyxtZFr5eamnodgIj7vRUMBvtyzjsahtFHCDGIcz7UXTAczUSqevfuvVBKOVxK6S8pKenNOe+4YsUKTwPxXABgD4DvAASjT0opfYZhdDcM4xjO+Zmmac7knF/AGFsb8578roXeE3IYaegXipAjHSsuLs5gjO3Kzs7+sSUaDIVCHxQVFa3y+XxTOOfeYDD4NGPMzs7O/rG0tHSV1+vNsyyrUko53O/3fxZ7biAQMJKTkx8GMALOtEYQdRfzei8Sibw3ePDgkeFweLCmaRYAnpmZmafUzzNaM8Z+KCoqSsvPz9/R0GsoLCz8MScn59/Lli2rt2y8z+c7izF2ONfnaLYuXbp8snXr1u2WZXWEk4a7JdwAIL2ysjL9scceG7Ro0aJ/WJa1BcCuP/7xj58/9thj7bOysrZdf/313SdPnqxs2wZjTF177bUnMca+BlCplNrl8Xh+tCxrM5xpq0EAUF1dXWFZ1lYAHXVdTweQnJ6enmKaZnRkpNq2baZpWvT+UDV48ODLIpFIIoCszMzMeStWrPjMtu1qpZRijH2rlNqklBKBQGCXe04nALlwKvK+1kLvCSGEHBZOBrDN4/FsS0pKavZOh9pIKbM45wVSyhHR5zjnY4QQJwshHqvlFC/2z7w4vjHXMU1zvhCii5TyTCHE9NpGLqSUR8fG0UDcDe4UUUppnPNZjWnvSGaa5vwFCxZ0BXB0c9qRUuaYpjmDc35xcnLys6j5HTi1gVNPg7ND6Ix6jskEcB2Asw8yvNtQs2j49Eae0xFuThfyy0OFy8gv2YsAJruPHwVQ0FoX4pwPZYwNB/BKMBjcZJrm+UqpIICVwWDwnwcc/iSAmUlJSV8kJiYO3b59e4MjDWVlZemRSOQkxlh7ANVKKSsYDC6OPaawsFDPyck5LxAILGmoPSHE1JSUlNf79OlTWc8xE3VdXxstTvZL5CZbC/v9/v809dzCwkLd7/ePtCwrBwDTdV3m5OSsYozZd955Z2ppaektzz///AsAPmuorTbA4EyRfQ+gLM6xkMMAdS5+2cYCmAjgdTh1IQ43x8NZMPbpQZ5/PWq2O84BUNtIQotRSjHTNM8G0EXTtMds257LGDsuEAjUVlMjfcWKFSw9Pf2UUCj0bGPal1JOtm3bBtBXKfVdeXn5kilTpkTnR2zAWdQZDAY/B3AugLfhVH31ALgPTsruOwAsE0JMDwaDr8OZZ69114ZpmpcGAoFHG/8OHFmklMMB+Px+/8eNPaeoqKidz+cbo2lapm3bmlLqk9zc3HUHHmea5iRd11cNGjSopdZwEEJIm8hATeXP3Tj8Ch79GjXDxhcfbCNXXHHFrUlJSce2VFCNUVJS0kEIcUlpaekpQoinFy9e/GvUMaRummZuY5NfuYs6CzjnN5mmeU3Pnj0nwvmkuQ3AGAB47733LgHwI2oSe3WDs9U0+l5uBIDx48c/A2eh4GYAOQdeSwgxyjTN3Ka87iNJOBzu1dgMmYZhdDZN81zOeYEQYmpJSUmDWVKbu3OJEELipSdqki7ZOGDb4iHud6i5QSoAfz/Yhpq4PbNFSSlzCgoK7mSMRVf7X1PHcZM55/XlUNDhjDx8MHr06Pmc8zuFEHe3a9fuZdS8R08DwBtvvFGA/dd0DAJwbMz3AgA6duz4VcxzC92vYjgLDVsk1ffhatWqVUmmac6v7xgppd80zWlu0qvTpZSNXnvQ1LTrhBByqJnv9Xo/ysvLuz3egTRBV+yfgXLLFVdccaUQYupBFhRri8Jh9bkbNa/l33UdxDlfUFRU1K6OH58e08YWIcSVpmm+fPTRR98a8/w8t53z2rVrd1laWpoB4MZoAz169Lh44MCBTwLoK6Xs2a9fv+dRM7pxTkw7asGCBcc2NZX4kUIpxYQQVxzYWVixYoVHSjnaHZ2YzTkferAVb03TPLeJ2VoJIeTQI4SYHe8YmiAZwHY4N7qdL7300mWGYQzgnHfknF/MOR/XlMbiOXLhGg3gJwCRsWPHLoIzCvMhnJ0s+1RUVCQIIa5yv80FsA7AVwCOAzASNTf/8uzs7MFZWVmbdV3/AkDBb3/721uj7QghQu7Xfq/bMIwh0eRfUsozioqK0m6++eZb4CSI6ujGqADsfPPNN69ui1Lxh5iuAPoLIS5xM5JCStnJNM1J0R0epaWlLZKNkqZEyJGA0n8TAPipvLz8cMmGuAvODfl6AMdNnjz574yxFADn6br+UyQS2cA5LzAMIxDfMBvtYzjZNl9ZuXJlHpwRhuMAPBJ7UHZ29l4Ar7jz/HMB9AfQC8DVAD4BMCU9Pf2Bm2+++c8VFRWzNm7cmGlZVl8Ak84///wvo+0kJiau0zSt/4FBMMZ6+ny+/wGAbdtpPp9Pmzp1ajGA/wHYfvXVV9+UlpZ2R25u7hndu3f/ijH280QaR66xANYDWDdt2rQhuq6faprmTKXUsZWVlcsDgcDToVDoycGDB3/bUEMN4Zx31HX9++aHTEh8UeeCwLbtZdXV1RPiHUcTSAD3ACgFgFAotDYUCj1SVVX1b6/XGwAAj8eTwzlfUFxcnBnPQBvpBgDnVVVV7cu14fF4foj5eQqAqcFgME0ptXHIkCHRREXQNM10H764bdu2BZMnT07E/lsFw7ZtfyuE6AE4nRTbtn9WZI0xlhpNIsYcx3o8nn0JtGbPnv3jjh07Fj7zzDO9dV1/syVe9GFkHNx8DeFweLDf718cCASeCgQCS/Pz839WJ6Y5GGPjd+zY8W5LtklIPFDngiA3N3cXDp86DnXKy8v7IRgMFgaDwX8A2MoYi+i6fo0Q4pKmLKiLg325JBISEt72eDy3FxYW/nft2rUh9+nXASwBUJKbm7vj6aefFqFQ6IL+/fvPXLNmTTi2IU3TVhcXFxsAJl544YX3/+1vf7tNKfWJm2OjUZQjY8CAAVuBfYXJNldUVCQwxqr9fn9Vs1/xYaCsrCydc35xQUHBBjjVbS2l1GLGmN0KlzsawJsnnHDCVaNGjerc4NGEHOKoc0EAAEqpsJTyZ1sODxGj4dTaaBTGmO33+98LBoMPKaUeYIxFbNv++z333FMAZz3Dp3AqNgKHRq6Xm+Dkl/jjK6+88nhxcfHHZ5999lk+n+9XQogQgGgnwwMg4Pf7n3nuuee6vPrqq0sSExMtwzC6RxsKBAKGx+MJAfjnddddd/PYsWPHuZ3HRhWrKisrS1dKbdM0bd+0h67rpyYmJr5bWVl5ZiQSWdZir/oQJYToIoS4KBKJjKuqqnr2kUceeQDOmossAA+10mV/B2DCtm3bRgL4TStdg5A2Q7VFCAAgFAp9IoS4BE6Bo0PJtQDudR/PxQFrEQCnINiePXt0n8+XVFVVlWjbtkfTtFQAUEp1sG17A4C3Fi1adD6c9QyAU7J649ixYwNwtl+WtvYLcfUGcCmcqYtoBs3tcLZ64vTTTwfnfKAQoiApKalg9+7djwaDwWeEEJekpKR8ed111xUxxpSU8h9KqRl+v/8x0zSvBPDXmGuUSSn9fr9fmqbZ6cAAGGOWZVm1jeSMHjNmzPUdOnRY/fLLL+9L7GTbtn700UdXmaaZmpeX90Mt5x0RDMPowxgbo5TaVV5e/vyUKVOsmB//5H61ltj6MZta8TqEtIlD4VMbOUSYpjkzISFhibt48FDxApwKkUhOTn5+9erVb8L5va0CkKyU2gk4RbmUU61rl/uzKgC73MJKPwDAkCFD5kQikbsAIDExcVVlZeUoAPB6vaurq6tHttHrWQMg3318CoB3ajuovLw8tbq6+uKkpKTXdu/e/Tul1DOhUOhj0zSv3Lt376P5+fm7S0tL+2ualmNZVqmu64NCodC/oudHs2eapnksY2y7UqpfNOOjlHKEUmrkli1bFo0dOzYCAMXFxTOGDBlyH5yCUzjhhBMmvP/++29JKfMAwLbtTF3X1+Xk5Hzdmm9OPAghQkqpYwD8L/Y9bGPt4CzmteCUba8z7TohhBxWevfufXFycnIJnJGCQ2XKbBycDJOb0UD570bQ4ZTHng1n9EABUJmZmWs45wWmaV7KOR/azGs05AvUbButt1S5UopJKSeXlZWNKS0tXRQOh0+TUvo45wuUUhoACCHGX3DBBReeffbZj8ybN6939FzO+YRwONzLfTxLStlJCDERcEZ6hBB/klKmAE7Z7DVr1kyDU8EyGtsIADBNcw4AzJkzZxGAywEcWJb+93BGfm5q1rsSB0KIUQcWlSOEENKyGPa/uTSqGmcbYWj5UTYdwFVwaot0jT4ppfQLIabUk1lxFJzy1d/g4Do7JwF4PyMj45mPPvpoUmNOME3zWCnlAs75nW5nIz2mGmke3IybWVlZFdFz3DomcwAnUdj69esTlyxZcgWctRftpkyZ8k7nzp1/BeDolJSUxX369HkEwGnp6emfHXPMMa8DQFFRkVcIcdFxxx13NWp+L16KCa13zPMKTk6MQx7nfAznfO4hvMaIkMMeTYuQWF8A6AvnRjEMwNr4hhNfhmF01nX9OADJtm1HdF1/z+/33wUgmtVzcczjJpNSDo9EIqm5ubnLGzq2tLS0m6ZplzDGKt1pjpVKqUAoFNIBPA8Auq7/UFJSclYoFPoAAJYtW3bRvHnzknr06CE1TStYuXLlDDi7HpbCGcEBnGRcA9zHLwI4D046+GmmaVYyxtZce+21f3377bejxdVKAERLsXdgjH2jlEqGk469h/vnIUcppZmmeRJjrDdj7G2/3//feMdECCG/FAMA/Oniiy/+S3TInDhWrVqVJKU88cQTT3wW7if17OzsO91trgf9CZhzPkZKeWJjjpVS+pYtW3Z3amqqTEhI+GnUqFF3vP766ycDeAvAhrFjxy4SQlyWn58/AEAWYxWl7fkAACAASURBVGyVG+veDh06fIOaEQYR8/jr6GOv1xuOef5hNxtl98WLF0/u2LHjJwA4nHUi0XhOnTNnzgw4uxvqK2LWAcBlcKa42pQ7jXSWaZqXh8Phw6l+DiGEHFmklL61a9fOhZM5MiPe8RyCThw/fvwlQoip7vTJVVLKS4QQ06WUP9ud0RAhxHjTNBtbmXXfWpHU1NStpaWlU0tLS/sDgGEYA0455ZRFcKZJquCUS1dwpkz+DUAxxvYAmNalS5dwWlraKgBjunfv/jaAO8ePH/8nxlgVnMWEX3Xv3v3VoqKiee6n/hmxQXDOj+ecN3YR7D9R02nZBuBdOIsW/w0n+2WLk1KmmKZ5vmmacxpThZQQQkjruhjAHZ06dfoAzs1gB4B+cY3oEBctqR0Oh2cLIe4RQlxvGMZJTam/wTmfYBhGY3J5jIJbzTY9Pf19zvk1xcXFN3bt2vUKAL9KT0//BDU38k8A7EhLS1sDIPlvf/vbjS+//PIVACCEOEEIcaX7+CL3z+lLly6dB2BvtI158+bd4hbkGhgNQEo52jCMkxr72gCUY/+1GbFfXzShnQatW7cuwzTNmUKI6atWrUpqybYJIYQ0XQhOIqfof/rVMY/jXTn0sBGdPjFN82rO+SNCiNsNw+gDJ330tQD+iDpGgzjnZ0a3fjZgKICpjz76aB/O+bVnnXXWc6j5u/qIMWYxxqp69uw5GQCEEGcbhtGdc36xEGK6W9K7y0cffXQvgNmXXHLJPQDwzDPPLFixYsVsOHU0FGPM8nq9fzn++OOfhbN99rJbb711Umlp6UQ4NU0eQM16jToNGDBgttfr/ZIxtg0/71xsAjAfzVz/JaXsaZrmHNM0z12xYgXl7yGEkENALoAI9v9P/wc4Q+/bAdBc9UFQSrHS0tLhQoh7xo0b9zRq3ttn6zrH7WDkAOgCoMFP3hUVFQnHHXdc7LTDOwC6vPnmmzdwzm9QSjF358ilZWVl6VLKC0877bT/A/BxVlbW1pjzXoOz7uKH8ePHzwwGg/f37dv305ifV7k/35yVlTUz5vmihmIUQsxTSunvvPPOjQBePbBN9+uMhtqpo+1+nPPzhBAn/wIrtRJCyCHtAtT8J78bwL+vuuqqO8aNG9dz9erV8w3DmBnf8I4Iv4f7HiclJS03TfOUoqIib20HBoPBx+FMfWyBU/20XsnJyVk9evRYe9RRR3153333PSGlTFm/fn3iK6+8clvPnj0/A/DOjTfeeOnixYuD06ZNe0TTtAM7kgrOLg8FQOXm5i7v06fP+16v95NajrOzs7NviPne/HlENcrLy7tyzieYpnl+OBw+avr06Uvc16YAfB/TzrSGXiaAyQByAEBKOZhzXsA5P62h94cQQkh8pAH4AMD3+fn5/8c5P76oqMjLOb9m/fr1iZzzFwzDSI53kIe5TgCegrMNNMddGzCJc34e53zCAR2N2DUKVzf2AlLKU4UQ1wshHiwrK0tPS0t7LKadT7p37y5jvleMMVvTtJ/at2+/EW6uDAARTdOiU2J2+/btP9V1fUVGRsZaOOXXb4JTNuB2AK/A2bJcJyHEZVLKHCHE6ZzzWYMHD14dvb67FuR1ONNxDU1lvOeeV/WHP/zhainl4AaOJ4TEEc1NEsBZtDkGAIqKigBgqM/nu2Tbtm2PArjMsqwbPR7P3XAyNJKD8z2AfSNAAwYMAJyOBkpLS7slJCRM45wnMca+zcvL+1ckEhnAGNt9yimnlL311luNuoDf73/r3HPPzfjss88WZGRknP7jjz/u2yXBGMveuHHjvmM7duz4zfbt27srpZJ37dqVADcjq1vxMzq9wHbu3LldKXXK1q1bAeAKAIvcnzVYXEtK2dOyrK8tyzoOwE+MsX4pKSmr4Wb/3LFjx4twkpjVKRwOH2Xb9qhAIBDd6up97bXX2HHHHVfviAkhJL5ojpLUqqysLD0SiczSdf11y7ImaJrWwbbt1cFgsNZaGKRlGIbRXdO0E955551+nTt3/nzw4MFpuq7/q5E1PQbAWTsx8MAfdOzYcceOHTvesG17OuB0IqIpxHVdjyQnJ3//448/dgaA7Ozs/1ZUVPSspf3VcHJV7GrMaxFCzGOMWZqm/aiUGmrb9nbLsvx33HHHB0uWLPkczmjZfsrLy7tWV1ePYIyl2ra9hzG2JxKJfJyXlzcLwK0ASm6//fa5kyZNGqaUSmKMfbt169a3ozVSCCGHBupckDq5tS2mwrmZ9FBKnRgIBKa4n25/CbxwUlx/CWfaoE0JIXrAGVE6Wdf15Zs2bXqunptoHzgVbROjT3i9Xqu6ulqPdiQYY25tN+ff/dChQ1dv3rx50DfffNPe4/HY1dXVOgB069btu++++66zbdu61+utrK6uVqhZXPomgNMbij0cDveyLOsM27Z1TdMGKqW8uq4vtywrJRQK7atsyznvq+v6EKVUOwCwbXvDTz/9tHLUqFF7GvseKaWOB5DMGNuwdevWt6ijQUj8UeeCNEgIMUrTtGNs204FkBwMBm+Id0xtIAnAZwACAD4EcAKcOf+4ME3zBgC7bNuuruMmeiqAaEXPaEdI9/l81Uopvbq6WgOAo48++tkvv/zyfNu2NV3XrS5dulRt2LAhCQA6duy41ePxeLds2ZIGABkZGRu+//77DNu2Y+ur/A9AbaMaB8Z7DYCOSin/l19+6bvwwgtTNE1rN2PGjP8rKCjwaJqm27atA/hfUlLSRy1RiTccDvdSSg2zLItpmrbB7/evYozF7e+MEEJIA4qLizM55zebprn8+uuvPxWN2MVwmMvD/rsksuIZjFKKCSGukFJmhcPhXpzzC0zTnGGa5rHu9Ma0aKxer/c/MXFbWVlZ37vPRxYvXixRs1tDjR07dgsA5fF47EWLFr01bty4fSnAU1NTY9upBLARwCW1hNcFTh4PAICU8mjTNJ/jnH8ihHg1GAy+HW2nS5cuy2spBtfiSkpKegshzuGcn+e+R/RBihBCDkWFhYX6nDlz/gHn5mQDmBfnkFpTEgAJQCUnJxeXlJRkxzsgt4Nx2bp16/Yl4SopKeltmua5I0eO3JdIS9O0Te5ja+zYsctjt57eddddX86fP/+LXr16fVdQULBZCFH66KOPFv3rX//6Rgix4tVXX30rJydnU2Zm5ufXXnvtI+3atdsO5++6rpLqf3bb3sYY+2fXrl1fePbZZ4uEEJtM03yRcz40PT39j6jppPy19d6h2kkpczjns4QQ86SUo6mjEVceOJWB+8Y7ENK66B8Zaaq/o6ZT8TqAs+IQgxfOSML/Wvk6CXDWMlRIKU+3bXtPMBh8t5WvWS83IdY8j8dTOGjQoG0xP+qamJj4hqZpPQB4d+/e3REAcnJy7o1EIoM+//zz07Kysna89NJLP3bo0IHBSQ0+Vim1VSkVAZCplFqnaVqaZVmPMcZydF3/MBAIvAgnx8SOA2NZsWKF5+STT94QiUQyY5/XNM1auHDh7Ntuu+0pKWXPnTt3nj1q1Khqd3rlETi5VOJCSum3LGuYpmntGGPc7/d/7P6oJ5zMpyvgJJAjreMZABfByQA8Er/wystHMupckKY6CcAbADyBQOA60zTvb+PrdwKwBs4nn2aVPG8qKeVwpdRAv9//TJzm8vvDWcewRghxla7rT/n9/u8PPGjkyJHPffLJJ9MSEhJ2PvnkkyuCwWDCli1bvujYseMXHo9nrFJqJGMswbbt7xhjmXC2oe6BkzHz3wBSLMv63eDBgz+PbbeoqKhdUlLSEKVUX9u2EzVNqzzzzDOnf/HFF7VVO53EOf+PpmknBQKBB1rhvWg2wzCGMMZCRUVF6pJLLvkbgPZwRqsCcQ7tSPYFakYtLofzYYUcgahzQQ5GCgCPaZoX//jjjw83dmV/CzkNTpVNwElZnog23MlRXl7eNRKJTKmsrHwkPz+/LT+BnwrndWsAbi8sLLx54MCBVwF4IhQKbY89kHM+KxQKLYOTdXOvlNIfiUTO1DTtZKWUT9f1HyzLOpYx1g6Aqqqq0n0+327G2H+VUp/u3bt3Xn5+frWUMsWyrGM0TevqNs00TXs/ui1WSpkTiUT6vfDCCz1Xr17dp6io6Kwff/wxE8CHb7755m3du3fvFwqF6kx1fggZDeAj97ECkIpGbrcljcM5DwIYNWnSpB5ff/31jQC+grNI+tt4xkVaD3UuyEFbv3594s6dO2fEbi1sA50BlAI4ql27dm9/+umnhXv37n05Pz//Z8P2raWioiKhsrKyIBKJLM3Ly/uqta9nGEbnU0455eaNGzfOBwBd1z8pLS39u23bmqZpJwH4QClVCQCMsa4ANjLGuGVZPzLGfggGgz9ER1rC4fCQSCRyIwD/nj17smfPnq1LKfUpU6bsuOmmm36vaZpQSnV3L11tWdZHubm53xwYk5QySyl1ilJqj6ZpO23b7h0IBB5mjNlCiFEAsoLB4Cut/d60kAQ4+UHGpqWlPb5y5UpT07R3c3JyKuId2OFOSpljWdZoAOWhUOhD92kfnFEycgSjzgVplnA4nK2UGuT3+99ow8umwFkLIYuKivSkpKQzlVLtkpOTC/v06VPZVkGYpnmuZVmbc3NzP2r46MZbsWKFJz09PVfTNL87/bBt2rRp35mm+SqAjnDmrW8C8F1hYaE+aNCgyzVNe8Lv90eklJcyxt6wbbuzUqozgCzGWIZSKtE9N91NUOV74403PDfddNPJ7mWtTz/99Eyfz7cyLy+v3jUHq1atSkpJSZmnadr3SqnvGGO9AoHAowBgGMZJjDFfKBT6V31ttIIEOOsmvoCzALVZOOdjGGMhn8/3/IABA7Y2O7pfGM75QADHA1gXCoV+liyNHPmoc0GaTQhxOoAvg8FgWbxiMAwjmTF2FmMsUlZW9tKUKVPaZKpESjn61ltvPaGwsPBMAJ8DuBT1L1jUUMvNr7i4OMfn842ybbs9YyyRMbYOQJVt24kAoGla0urVq7sVFBTcatu2NyUlZfPKlStv0zTNC6DLddddN/Xtt9/u2bNnz21Llix5LTU1NeKOKlTatl0NYJeu698C+M6yrPUAuq9ZsyZYUFBwp2VZyZ06dSp7+eWXQw0loFJKsZKSkisuuuiiC7/44ou++fn5y1euXDkNAEzTnGTb9o9xuJmkwqnO2h/A23CmkJptxYoVns6dO59lWVaqruvP+v1++rTdAMMw+ui6frxt25vj0MEkhxDqXJAWYZrm/MrKyifaeB3Cz5SVlaVbljURwPeBQGBpG132cwDZAJCbm/v7Z599tgLO0K8CUKWU8lZWVnrPOuusBRs2bBjcv3//j19++eUlAPoBSFFK7QGwjjHGlVI7lVI/eb3eHdu3b98du57F7/dPklJGR4isN95446Q+ffps37hx4w8nn3zyerj1QQCcDGdh5s8IIUYppQJvvvnm/379618vTEhI6Dds2LCVt9xyy3OdO3c+Likp6dbs7Owf63qhUsqCwsLC4K233rrAfUoBGM0576br+td+v/+zg34XD96xAD6O+T4NznqTFsE578gYO1vTtK1tPELX1voDeALO7+6lcKYf6zMMwEIA5cuXL38sMzPzeAAbqVNBCGkxFRUVCaZpzo93HFFSyp6c81lSytEt1aabDv1oIcQ5Qojp0S/G2AeoyeMwvo7T90vK9eCDD56xatWqpDqO3Y9pmsNM07z0k08+mQDgWQAb4PynHmuV2/Z2HJDwy92+eooQ4jJ3uBpwCo8pACojI6MCADjnFwshfltaWtqttjgMw5gkhLjt/vvvn6XrelXM67FHjBgRz7/7VK/X+5UbS6vVvgmHw9mc87lCiFBrXSPOHkTN3+kLjTjejB4/YsSIA38fCSGkZQgh+gkhzo53HLFM08zlnM/Ny8ubB2A9gPcBZNZ/ljMkLqX0m6Z5vmmaM9zS6BdKKUfXUn6+C4BfA6jvtXcAEE1u9TkAvb7rK6U00zRP4ZwXSCmHNxQvgMRu3bpNfOqpp/ZVXnXbGGua5ky3TkmsyW4sKjs7O7rQLloivcAwjAGxB4fD4eOFEA+YpnmuEOIfwWBwJIB1qLkZ3daIGFuFlLLTBx98cCGcwm1aQ8c3F+d8DOf8GiFEl9a+Vlvq37///6Hm7/PP9R1bVFSUlpCQIGKOP6f1IySHE5oWIS1KCHEyY2xzIBAw4h1LLMaYoZSKfuK8FsB90Z+56aizLcvKBuDVNC0JQAJjrKxdu3ZFLbhINAtAPpwh/FoXTUopU2zbPh1AR9u2l9W2U6M+pmnOYIwtsSzrNE3TujHGXvb7/RtrO3bu3Ln3Pvzww+K9997TTjzxxMcBoKioyOvz+eYC+OaVV17BLbfcchOAjN/85jdrp02btoQxdoJS6iEAoy699NKUTz/99PdwRksmwCmc1uaEEPPKysoebat1NsC+jttZSqnM1NTUp9pyIXFLcxcQT6msrAwPHz7cDydJ3XOoZUdHzDqUlNNOO634m2++mQenk/k3xLH2Djn0UOeCtDjTNOcnJCQ8U9/cfRy8AGAKAFx11VWPXXrppRW2bUfzQ+zSdb00JyenrA0rvnrgzG3vBpytnbZtnwxA2bb9am5ubpPzLLgdk7sYYyXV1dUv1rfrwzCMZF3XTw0EAi8LIS4KBoOLoz+LrluZPHnyCeXl5RcDQGZm5ufvvffecqXUGuw/r84Qx5uKYRhDPB6PJ05rPWAYRrKmaVOVUjuDweBLh1uhNLeq7GTLsp5oaJcQ53zMnXfeOfuFF14YHolEPgMwB7SllNTBE+8AyJGnsrLyEaXUZXA+zcSNm/BqKICOGzZsWPrXv/51a5cuXb6dPXv2EqVUFoAAY6w4GAwWtXFoOXDSTHfq1avXLf/85z83AfgmEAg8ezCdm3Xr1mVUV1efbtu2DWAxY2xHQzcKXddPraysrHXR56BBg7Zxzj8NBoN55eXlAIBQKOTTNO0Nv9//1gGHx+1mqpTSpJRD/X7/o/GKwe0EPm4YRncp5WWGYRTn5uYWwVl78y2AQ2oEL5YQYjyAzqFQ6L76jpNS5ti2PQbAO88+++xEOFuaBwB41f0i5Gdo5IK0CiFED03TRvj9/pea2dQJAHoBeAn1ZE0sLy/vWlVVlQsgRdO0JKVUMmPsG6/X+0l9eQqklIMtyxqulOK5ubmrmxlrY/0WwJ/cx8Vwalo0mTvaMY4xtmfLli2vjx07NuIO118QOxJRGzeL5xMAcMDIxUAA93i93l1Lly5V69atG7hx48a9Z5xxxrPHHHPMojYc2WmQEGJqdXX1e0OGDNkS71iiDMM45uSTT/715s2bz4TT8RoH4L04h7Ufd+rrQrdjzes6zu2cn6aUCgeDwVVr164deswxxzxXXV3dH8526uGg2iCEkLZmGMZJUsq8ZjQxHjULxrYDOKpDhw6Df/3rX48zTXMa57yAc14ghJgtpRxdVFTUrhmxBtz2JjQj3sY6Hk7hJgXgrqaezDnva5rmTNM0J9VW4dM0zZm1nRdVXFyc6eYmAeB0LmJ+/Kobl5o4caJhmuYTnPO+UspOQoirGrvDpZWdnZmZeeOyZcvqfZ1xZKBmsezdJSUlHeB8kPstgEIAo+IVWDgc7iWEuKyWRcn7FBUVteOcXyCEOFspxQzD6F5SUjInLS1tLZzXtR7OdmdCCIkPznlBUVFR2sGc26VLl4WI2b6Zlpb2AQDFGIvout4qnQDOeV8hxBQhxMmtXJq7N5w8AY0mhAg1pgMkhJhSX0eLc35BRUVFQszx+zoXjLE1cN/vUCj0hnv8gqKiorSKiooEIcRVsSXf42DfLhfG2ItxjKM+M+Dk2ZAPPvjgLCHEXy6//PK/o+Z3+as2jIXBWdsDKeWpnPPz6jpQKaUJIc7hnBesX78+UUqZwjmfxTk/LzExsRdi/i0C8LdJ9OSwRWsuSKvatm3b4xkZGVcrpe6ta7FbSUlJB5/PF7Asq5emabplWdA0bcKmTZv6nXbaaT9UVVV1AIAdO3aMAACllG5Z1okAWjxZTygU+hLAl+FwuJdpmrM45zvLy8tfaYWdCF+hkTeZaOIrTdNK/X5/g3VcNE37MCEhYTTqzvngy87O3nvgk0VFRd5x48b1/OEHZ7kG5/wTANi2bdtDGRkZV5WUlPzlvPPO+5sQYmY4HF4RLWDWxnpHHyilesXh+o3xtPuFyy+/HEopbdu2bb+K/jAlJSVp9erVT9i2/WVSUtIT2dnZ38DZmnwagG1wcpa0hP5wpmQyx4wZ84BlWY+EQqHy2g7knI8xTTMHwCtVVVXf7969+0zLslLgZD4d+uGHH544fPhwA0AugHI4adYJqROtuSCtzl0bcLymaa/h51s+wRjbDaBM1/UukUjkHNu2k71e77JIJJIUDAYLAbwLZyoh1lVogwWjhmF01jRtPGMssmXLlpcaSo/dTJ0AzALwNYCXpJQjlFIDGWNr/H5/k7Z5mqY5MxAIPBXTbgYAy+fzvazresc9e/ZcBLcSqBDiorKysudzcnKuvOaaa2a+++67uQAqARwH5+aCioqK9nv27DknFAo96Z4zRdO0z/1+f0NZHFtaekZGxptbt25NAPArAMvb+PoHTdO0K3v27Dlh7ty5aydMmPB3pVSmz+ebrJTqMGPGjIHFxcUnuYdOhVMB91dwaqbcC+D7g7jkQgC3u49LAAxxHw+G00l4wzCMzoyxMUqpVbm5uaYQYrxt27mMsW81TfNYlvXt+PHjV2/atOlyOFtU33fbastKyISQXwgdwBn4+Q0fgPMJmHPel3M+wTTNGaZpzjAM4zYp5c2c86GxQ/JfffXVUaZp3iGEeFwIcf2KFSs85eXlqZzzBYCTXXLChAn/xP5DsgrAQ63+KmOsW7cuw13nMOPGG29Mg/Mf951wEmi1lDfgvr6zzjrrD+Fw+KA/mcesuwgB2Om2uxo1799KOH9/2pQpUx44++yzl61YsWKZYRgBODefrAPbdKeM9iVLMk3zFNM0xx5sjI3gBXAWnNwgQwD85YwzzvijEKJfK16z1SmlmBBiPOd8rmEY3eFU+v0c7t/NsGHDlnbt2nURav6uDqrq8Jw5c34DIOK28Vf36Ry46318Pl95WlpaKYCld9xxxyTTNO8zTfNq0zTPPWBNxp9jYmnyGiFCCGmse+D+Z9OtW7fL3HTYF7lf0znn55mmmesmp9pHCDF73bp1GRUVFQmc8/lCiMc55/dLKffdyAoLC3XO+TVSSp9hGN2FEIuLi4vHTJky5fe9e/cuhLNKvRpO56bNlZSUdMjLy7sfTUuT3CCllObxeHhMu1c2pz0p5YlSyp4Aro5p8zsc0EljjL0cfZyamrqsoXY55yNN0zw2+r1pmsNiOxwt7ImYWH+IefwtnF02fVr4eh0BXAFneqLVKaUY5/w0n89XjP3XYwxAzL8xOCnf65IA4C04+Sb+AqDLGWeckSeEuNJN494fzggUA4AuXbqcH9NudFGxCgQCr0opF8T+O45+paamPh1zzj9a+G0ghBzG2sMpR90sZWVl6aZpTkpISHgf7n82SUlJf61n5XkAQAGAbgAQDodP45yv5pw/aRjGMbWdYJrm5UVFRWlCiNmmaT5bWlo6WghxhWEY0RtJbwBdm/tamul3cF9/SkrKioNdsArsy9VwhpTy1ZtuuulpOFv7XoJTfOugSSl9QoipAAbB2Wmj+vbt++C11177HJybkQKg2rdvH3vTbtRWXM75meFwODv6vRBikBDisubEW4fYm25sLZPo1x9b+HpvxrR9Sh3HZAA4CUCduy0OwuaY605xn8tMSkpa0rFjx38iZp1JLY6NOddmjFUDsDVN26/WixCiH+e84N133z0nMzPzM5/P90NSUtLamHOvqecaPeHsInoNzrZwQhpEay6OXBfBGUr+EM7islQAN6MJ/yGHw+GjLMs6hjGW6j61y+v1fjBgwIBhAB6H82nybDgLvGLNgTN8mgZAS05O3rZy5co3NE37SNf1f9m2Pa62PAyc81kAPmCMXc8Y22zb9gZd1z89yHn9X8H5j/pVAHccxPn1SQNwN4COWVlZt7z77rv9AWR5vd7XBw4cuKExDbhF0MYrpYYAGKhp2jK/39+iux9M05wRCASefvHFF0cJIRKmTp16EoCXZs+enbFmzZrndF1PTU9P17777rvoCNN9cFKjN0gIMS8SiSyJJuuSUmZZljW5qqrq4fz8/OoWegnna5r2sG3b69u3b/+Pdu3aFVRXVydu27bt6OjPASxpoWsBTvryQe7jy/DzqbdOcH7XM91jP4Iz5XQrgJ+acd3pAG4CwOHsNNkDOMX3IpFIr9zc3I/qOnHixInZb7755lrbtlM1TbNs247WrHkHwCmc8yCAkQD+p+v617ZtX8wY+5Ex9qBbQr7AfQ1PwJlCIaRFUOfiyDQa7mI9AFvhfNoCAAFnDr5WnPO+mqblwf1UppT6fu/evR/l5+fvOODQU+Akt3oBtZdl/gr7f8Kx4Yye7AKc3Q8AEAwG962K55yfpmlaewDTlFIrNU1b14zy1l3hDJ1H9QdwMZwbxx0AWjxVtJu8apxSqr/H43k7Jyenoq5jOedjGGO5lmXt1XU9V9O0B/x+v2zpmDjnF5aXly8ZNGjQqR6PZ3UkErkzEAgUSCmvBJBVXV096YQTTtgZ3YUDp0Na3xD8Pu7rnb9169a/Rxe5SilTlFJzEhISHm+p1O9CiOnBYPAZIcRspdQre/bsufShhx4a+Nxzzz2/d+/ed1viGlEXXHDBH5977rmz4eyEmI6fl20fidp3cjSp095YbmruPqFQ6MPafu4mjjunsLCw/IEHHliyffv2dPdHyuPxbJ84ceI/b7/99n/Ytp1m2/ZRuq5vtG07LRgMPtPSsRJyIOpcHJkuBBAdGdgFZ9gzJSEhYdPevXuLABQUFhZu8vv9A91iXl7bti1d17/2+XxratumGKMfnEJFOpxtc1n4+SeeNwBMcq+7Fc5cgDrCjQAAIABJREFU8O2xB3DOZ7311lsf3nDDDeCcdwYwF0APxtgjZWVlLzVz62d7xtgGpVQynNodVwGIpogug7OordVwzkdqmpbNGFsb22ngnI8BENR1/TPbto9TSqUppRbl5uZubo04wuFwdnV1dbqmaUcrpb7XNK2Pbdu7AIxSSo3Udf2vTz311Lply5ZdsW3btjWbN2++F05HsFHKy8tTI5HItEAgsC/99ooVKzyZmZlzI5HIa4MHD/62vvMbg3N+oVLqXY/HM9KyrL5VVVUPp6Sk6FVVVZOjGUZbAud8qKZp7QOBwIp6Dkv0+XwfVFVVDYfTge7tPv97AH9oqViiDMPozhjrFwqFPjjwZ1JKv23bx8CZ8hoyceLEs7/++uv9fq89Hk9lcXHxVQBeDIVC203TnF9ZWflIC44sEVIn6lwcmRYAuB8APB7P5ldeeeXWM8888zyl1AkAcNRRRz3yzjvvfKRpWklOTk64icWWhsLdnghnQVgafr4trR2czsXncLat/UxaWlq/n376qciyrA7HH3+8uWjRoneqqqp+l5+fv7sJsdTKNM3zFy5cWLV06dIggLfy8/OHFhUVLXJ/HLslr1XF5KewASRomvaOZVn9NU0L2ra9Z+/evQ+29n/0Qojp7sPjLct6TtO0qzVN688YexDAw36/v0oIcYJt2/9pagVWACgpKemt6/qwUCi035SOEGKqUsqoK69CY5SXl3fdu3fvIE3T+iulKm3bfifaYTEMY4DH4+lTS62TJuOcdwRwVmM6K5zzi2fNmlV43HHHDV+yZMkVGzduXA9nWmRnc+M4kGEY3TVNOzoYDL4f+7yUcjSAXu4Hgx4APvvkk0++f/XVV+d7PB596dKleUopDc40y2AAOU8++WTWsGHDfvL7/Z+2dJyE1EaLdwCkVZTA/QSalpZW0q9fv7W5ubn70jZ37969MhgMLvb7/fIgqjiuBfAHj8ezevjw4beh9v3uu+FMmdTasQCAHTt2HGdZVgcA+PDDDzuHQqFfNbdjoZRipmleqpT6eOnSpS8bhnG3ECLnscceK4OzYO3vcEZ1WosPTlrkHgCwZcsW7y233HL8FVdcMXj79u2JkUjkcsZYe9u21weDwb+2xSdIxpimlPIopby6rt+maVp/y7IW+P3++905d9i2/f/sXXd4FFX7PffOlnRCCQlVQErI7uwSEkACCCjFhqAgCkpXVKyfYlfUT0DsDVREioiAQdoniAoKCMZCINkpSSBKVKSFTkjb3bn398edDUsMkISA/DTneXjY7MzcKbs78973Pe85JRaLJaQ64ycmJv7GOd+lKEqf4PdlWf4UQDtFUbpW99j9fr/MGCumlIYTQtTgTIjb7d7OGDN0XT8npUjOOSGEjMzJyZlfmfUJIXTr1q1Ft99+e8K+ffsGA5iI8xBYmMf2l9+moiiDGGNdOec3cs4jOeebAHTu2rVr75deemnl5MmT+3LOL4foNuoPYDYAbezYscscDsdF48FSi38+ajMX/1y4IHgPX6mq2is/Pz/hxRdf7Hz8+PGdM2bM+D4sLOzwuc5iNE27IzglXkW0BLAFQH2Ih/6EczmW1NRUKSEh4U7DMD5zu935Ho/nSkrpJSEhIZ+cpcxTk/gCwNUAil977bWn33rrrRZ//PHHfQCQkpLy9QcffPA/znkTznnGeVL9/AuuvvrqlwzDuOqOO+5o0L59+2OU0isTEhL2Bq+j63oHv9/vd7vdWnX3oyjKIEmScstzRxRFuRxAhMvl+qKqY37zzTe3x8bGNmOM/XS67RVFudPr9S6ugBdUKWiaNspisaytDBE3MzOzrcViiWGMSZIkHTofPJlgmMZh7QKlGl3Xh3POr4Vomd0J4FLG2F5K6cdnKOfsh9DRAATv6KPTrFeLWtQoaoOLfwnS0tJCIyMjBwOoRwg5Sgg5CuCXqio/BsP03/jVlMyuDiKmT58+/t577329uscAiLZLxthdpaWlH9nt9gaEkP4+n++LxMTE385l3GrgKE62kO4hhBzinMsA4Ha71QULFrwSERGx5Pjx41GU0v6EEGq32xefx+AnBUIsC2FhYXsKCwubVpSpUhQlHkC4y+WqrsNlXwALw8LCJIfDMXTLli2nWLkriiJTSrs4nc7KaiTUgehycjmdzq81TTtdW2ggqLzL4XC8W9UsnKZpnRhjYRVxGiqCoihjvF7vApvNNsblclVL2KoqyMrKasQ5b6/r+kaHw/EyY6wvIcRgjB2llP5st9unVII4+zpE1m4PgC4Aqlz6qkUtqoPassi/BCkpKcWyLC8wDONLAM0Nw3AbhtE5SD+iypBluSJZ7qrgRM+ePc+JzJienh7GOX+Qc/6x3W4fQAhJcDqd7/4NgQUgVBADD7jGgcACAN+9e/cTPp/vyxMnTvSRJOkqM7BILykpGahp2qhzcXQ9A6IDL4qKiqyne/hyzksppRWVRTpCEG3/otZZDhMANCgqKqrr9/snBSuwAoDL5VJ9Pt86VVXvMrkAZ0M3mF1NpgLoabcZOnSoIUnSYlVVh1Vi3DLoul6PMda2soEFABBCiN1uv8Futy8rt6gpBGH4DYiOktchJLzPBZc6nc5ViYmJHx45ckQ1DGMUYyzfMIxJLpert9PpfKySHTkPQejMtEJtYFGLC4ja4OJfhg4dOuxwOBxTINpSuxJCxmdlZTWq7niEkOJzEZE6F2RkZETb7fZ7LBbLFkLIzZTSFU6n8/O/41hMPAthFFUe5Pbbb+9ktVr7A7AxxnTO+Zder7cu5zwagM1qtT6tKMp4XdfrQfBCpuMciadz5879Vpbl5RD+G6e1J7darSWGYZQPLloD+AFC6+FMHRSA4OEAACIiIn4qLS0dV34Fk5vxqa7r91fCtt1DCAmUOb7DWTpY2rdvf4gQskPX9SvOMi4AuEJDQ7sxxsbKsryoEuuLA/J42nHO/+CcW9q1a3ew3OKXIbRdHoQw0/sPhP5GdwhNjOrgTsZYR6/X2/LJJ58ssNvt8W63u4/b7a7O93sPgAtVGqxFLQDUBhf/ShBCuMvlWiFJ0hOc89C9e/fOtlqtsyBmX2ebpZ6CkJCQFTab7brzc6Snh6qqsRaL5UFK6THDMPJlWX7f4XCci5BRTeEeiIe5CjFTZAB+njZt2vOyLC8oLS39UpKkYs55Eue8FSGkmHNeTAg5ACDp22+//RCijfgeAKu/+uqraitBJicn37pkyZJRAPrgDA6yfr+/hBASnG14AELPISCu1QpndlCeAqFa2W369OkfArB5PJ6/ZBJcLtcRu93+XmRk5Piz2LbvXrJkyfMAeqKSUtyyLKcDqKcoSqszrHYLAE9xcfHmHj161CGEVLrtlhCSAuDS0NDQpRUsDubOBAdOqyA4D49Xdj+A8Obp3r17QAwLhw4d+qGCgKYWtbioUWu5/i+Gw+E4DODBuLi4eT6f7/agRXdUdow2bdqUapoWmp6ebr0A3Q+dISSIrampqV8PHTp0aUJCwvJqdLycT2yHeJj3hHCQBIDkjRs3Dq1bt66FUso45zZCiAHASwixc84ZIeQggILdu3cXBo0VGhsb21tV1XBCSAiEBLaVMWYQQggAwjk3KKVWAKWMsVBCSCGACAiibIzP57taUZRwSmkxADtjrMgMaEogNFC8fr/fb7VaL8nOzq7/yy+/kAEDBrwE4VkBAAdatmw56/PPPx8dHh6+oGXLliUVnDOHmbFxu93Qdf3A/v37/xsZGXlHQUFBFIRa6kZAfF84529rmnarrus/OhyOX8oP5vF4WhJCtkFkLSoNh8Pxmaqq96Wnp88+TedRSuDF0aNHq5oVigGgVsSP+fjjj9PuuOOOkvr161v37t07jLGymCWQ0RuPSqrE6rqeyBjr8dprr03t0qXLBnOM1Coea02hAURp7S+fUS1qcTbUBhe1wL59+8pa1EJCQmhJSUXPj9PD6/WuXLVq1Z0QD5hqE0QrgXEAGgHACy+8YH/hhRfK174vJvwC8fAOB5DTs2fPvxicqaoaSwjpTggJB+Dz+/1vTJs2bTeE8FgKgOkdOnSoso6Drus2wzBGu1yuV8ovS09Pt9pstghJkuyGYYRJkhRKKQ2DUOxMbNGiRWRkZOSBgoKCpoQQ4+OPP14ry3IRAFJYWPi2pmn7GWPZhBAKiHZJSqkEwMcYsxNCihlj4WPHji0oKCgIOKa+DEEmBCAyZwAWqKp6s67rkQ6H45SWZUJIX1mWq9WFFBIS8gGAu3DSBbQMjRo1+iw/P/82wzBsqILTqMfjaUcIiZFl+S/ZH5MUmrV169YfCwoKWnXt2nUwTmZ8/BD32JYAxkJI5leIjIyMaIvFciMATZblt823/84SXxeIclgozpNIWC1qUYt/PqIhvDLeWLhw4SiPx3NlFbe/HaZxEoAxVdlQVdXbKrtuly5dXsZJo6XHqrKfvwmtIPxN6gJljq9JmqaNVBRlvKqq15UnP9YENE27Q9f1iKpsU+5ziIMgciYBogVT07RRiqIMVxSlp6Io/zkbATU6OnoUzM8qLCxslaIoo82ulPL77RfMlcjIyIjWNG1wVY69gjGbKYpyU/n3NU2b8Pnnn4eh8pOqSABrLRbLIafTObX8Ql3X6ymKMlxV1RRFUQaqqnrf3XffPbVNmzY/hIWF3RnsOAvgtJLbHo/nSk3Tbi/vIvx3glJaZs6HIE5NFWBF9fkmlYEEYBBEOa4WFyFqW1Fr8Rfout6BMXaZ0+n8oJJ16U8ADDdfL4DwZagUVFW9rSITs2CsX7/eUr9+/dsIIT/JslwXYma4obL7+DthdiX0NM3fCCFky7m0/1Zifx045+FOp/P7qmxXmc8hNzc3qqSk5CrOeYwkSZGc801OpzMTolzlAXDYPIYIn883vlu3bvsLCwsbQphiHVUUJQlAEiHED2C1LMv7ATH7B9Dc6XQuVRRldGRk5OLTlF8qjVdfffXGSZMm3VlUVMQBPOjxeKIJIb4qttvejJPGaIdw0qMn4K1yr81m071eb2MAzSilhw3D2MA5D5MkKenhhx+2ffXVVy9BPKBvBHCKF4rp5XM1pXRVQkLC7+dyvjUB83fWjxAS9/bbb7NZs2a9BRFgPQYx+ags4iAcdi9BFczwqohpODnBGAvxHavFRYTasoioLS+HqJG/DeCJv/dw/n44HI7M7du3/6mq6gMZGRlzA86XZ8ACAIMIIYRzfsYHVFWRmZnZhFJ6A+d8rsvlKjz7Fn8/zIdGFwBWwzCOh4aGflNTRl5nQm5urr20tLTTOQibnRHmOaSaD9YrAVxjs9nmeL3etgD2AWifkZEBxtioI0eOvF1YWHiK54z5YN9qlm36aJrWgBBS5Pf711gsliO6ro8H4D3XwAIAJk6c2ANAPwCwWCxTCSH/c7lc86o4TA4EWVMCcIrAmKZpowkh+T6fL/nAgQP1YmNjtzDG9gC43GKxeBwOR+AzCPzvDWxrlqYGEUIMp9M5oxqnV6PweDztJEnqyDkPpZSuczgcAcGypRBlvX1VHLIXThoXjsH5CS7k07yuRS0uGvTEyfSfAaBaMsj/RKxfv96iquq4Skosh2zatGlsVdP8ZyqLaJrWTdO007ZQXixIS0sL1XX9Ck3TRmqaNkHX9e6c8wueFVQU5c6qlkMCqEp5Kgj1cPK3w+vXr3+/qqoPrF+/vtKTloyMjGhFUQZqmjbS4/G8qqrqU+np6dZqHEt5PBE4rsTExI15eXnV+l2/8MILz0Fk4qIC73k8nh7Z2dmTNm/e/F5cXNxuADw+Pv7nzMzMtmcbT1XVFFVV78/NzY0627rnE2lpaaGqql6nKMp4j8dz5bl+XznnVFXVXqqqjp02bdpICAt6DiGN3qEmjjkAXdc7jB079hkAuwDoOM9GhLWoRXXRGOIHwAkhWYqijAlYgtdCwLwJXX229TweT0NVVa+t4th/eaiZHiGDzXT5uWIAhGZE77OtWBVkZGS0UBTlVpM/MTwnJ6dxTY5fVWia1knTtG7V3b6awQUgSmIcAKeUGqNHj+57DsfwiKqqYzVN+yw7O/tcf4M2APcNGDDgixUrVlSqnbU88vLyQjRNC7TUEgDO5557rq2maYsURVk7derUBQgKrgAMgWj5fRblSs5mEDWmhr7TVQEFMA/AXgCTFUVJUhRlvKIow6sbiAZD1/UETdNu0TRtpK7rrQExKZEkaTVOXpf3znU/QNl9YVg1OGG1+BtQWxYRAjMuAEmc83Uul+toVlZWG0VRRhNCJErpcrNl818LWZZXqarqUhRlfE5OzmzTE4NCuK+2hHBg3el2u/NVVY09l33l5OREapo2mlK6xOFwVDUdWx5NASyD+J6PhfBYqKwWxiUAnoaQ9H4uNTW1JD4+vgOl1AEAhmHsliRpScD86+9Ebm6uvaSkxCXL8uy/YfejIR6qNsYY9Xq9CYqitAoNDV1UlVKQpmndCCGrHQ5HVmpq6kfx8fFTFUXpYep/lPEzqgCvx+OZY7FYTnDOz6SpcVqcOHHias55oFvnYwC3TpkypSApKUlt1qzZ+2vWrFknSdJVhmHUB/ATgA8hWkevgmijXQ8AqqpeyzlvmJOTM/9C+MmUQyJOCqg99fXXXy+fOHHiOUmX5+TkNPb5fFea7dB5nHMPABfnvKuqql0JIf6IiAjl2LFjgaDutAaGlcW2bdtidF2/lVL6qdPp3Hv2LWrxd6OW0HkGmDXsfgDqEkLU8i1z/zboul6Pcz6SMfaRy+XqC+F8Cgj/iu4AoKrqjRaLZWP79u0PVWbMYCKh2U3QMzEx0WkYxggA/4N4eJ1CKt2+fXsDv9/f0DCMBoSQOEJISED7gRAiMcb8ALBixQoyadKkAEvfgGCvH6nk6S4DcAMAtGzZ8u2VK1f+zDlPc7vdeZXc/oJBVdW7GWPz3W53tTkplSF0ng4ul2uqpmk3MMY2ApiQnp4u2e32Gwgh1OFwpFaGFFyRCZ6qqrdxzrMBxFJKy/gZlT1PTdMmEEI+5JzfYhjG0qpeH1VVx8qyHGgfDfaNGQZgsa7r169Zs2b3xIkTwx588EH1nXfeyTYMIyBC10lV1SOc86slSfqfw+H4oyr7rgZCIDRgegB4U9f15znn/VVVjRs2bNjrENonf0JMBvxnGCcYwyD4Ej/NmDHj8Z49e/ZmjLWnlEYC0BljBgCbJEm/Hzt2bGtKSkqwQzKBCLKKcSr5WoIgyV4LYaJ299kOwjS/i5dl+UPzuxQPUab6uZLnUYu/AbWZizPAFMz5HABUVW2vadpIxpifc77SvFFFA3BAtGqdMwntYofD4Ticmpr6Tvv27YfJstxCVdXAojIVyYiIiC9OnDgxECcDj0pB07QBjDG/y+VaASE5DQAjHn744e9GjRpVTCm1BIKG0tLSIwD2c853hoaG/nQW468oiBvZQpwlsDCJdimEkP69e/eue/CgEEXMy8vb63K5PqnK+Vwo6LremTHmOZfA4lyxYMGC31wuV/vA38nJyQxA6vbt2xvoun6bx+PZ4Xa7fzzd9hkZGS0IIb+Wf1+W5QW6rl/PGDvodDq/yMjIiJYkqY+maXUMw9jtcrm+PZ2AmqIoPQ3D+NHtdns9Hs9SSZIG4GTnx1mRkZHRglL6GyD4CbfeeuvGvLy86yHq/Bs8Hs9lAE5MnDgRTZs2vf/o0aPFzZo1u+G3334bFhIS8vOWLVvaAzjicrmmV3af54gUCIt1EEIeP3r06G8RERErhw0blg+RRekG4CtUMrBITU2Vhg4dOhOiWyR57969MYyxo4yx3RDXIAoAvvjiiyYrV668tlevXpmKopQF3pTSMMaY3XzdmjF2DABmzZoV+s477wwxV7trzpw53yUnJxNT2K1AkqQCxlgx5/yEJElFAK4H4HE4HIFsywCIIIoCeA7A89W9YLU4v6jNXFQRubm5UaWlpdf++uuvoQMHDvwvhCnQVgCdcNK06h+PzZs3Xz1+/Pi7srKy+KOPPvrLDz/88NqmTZv2AsI90uVyVao1zOPxjDIzDj/JspydlpY2qHv37jMYY40hgoFLUflsQ5VhqkGmcM5jKKUtCSF7CCGrHA7HcYiyyBEIAaGKFB//VpjlkFuDZtfVRnUzF6aipGTKb1cIj8fTkVLawywx/mUGr2naHQ6H48PTBQoej6cHpTRKluXVQfttbhhGD0ppNIDNTqfTE1hm/kZvcDqdZfbimqbdXlJS8lFlVWQVRRkjy/JHqqrWATDmxIkT76WkpNQDcEDX9TjG2GW//fbbqiFDhuwpLS0NZDSSFEWxA5BtNtui+Pj4gsrs61xgto/esGPHjt4333zzWMMw7BDS867KbJ+XlxdSWFjYjhDShjEWCqGLxgkhPlmWp0B4zDAInxtPuc0D2ZA6EIJxl0C07J4JAcXP+gB+B9AGgM9scw7lnIdLklTH7/e3Mr8z6YwxQgjxAbD36tXrsoMHD94VOH0AlfGTqcXfgNrgovroAtHLDQCIioqqf/z48X8VN8Pj8bRbsmTJPZMnTx5HCAmxWCx3+Xy+WYqi9CSE/CnL8l9mo8HIzMxsIknSVMbYBADtKKVXMsY+c7vdxRAS2psB/FaTx5yenh5ms9lSKKWNOecllNLmfr+/iBCy2+v1fnEBJMxrDIqi3HnixIn55dLR1UIVg4sWAJYAqPfAAw+sfOutt87aamiS8a7hnDeMjIxcFGg3zcnJiTQMo7/D4fjsTNt7PB5nXl7eFYMGDeoPEdBPBLAOAMrrZwAYWlpa+n7wZ5mdnV3f5/P1MDNjZztWquv6CIvFstbv91/rcDhmB0o7aWlpoVFRUWMNw9hqGIYjKSnpDc55JAA89NBDL44ZM2bZmQKtmoKu63Gc8zsYY/GEkB8ZY3PcbnccRBCwFqKMU4b09PQ6NputNYQeR1mnilnayPF6vdkVSKZfCmGi9zOAipRiG0Fw1gJog8pJhTeByLRsAHAg6L2nABxbu3btj3FxcYYsy6sq2LYjRAYmAoJHVWnzuVpcWNQGF9VHCMSPo4skSUszMzPXACiIiIj4X0306f9/QWho6FvFxcX3A0DTpk137Nq1Kx4AdF0f4XQ65wetGg/BY4gGMEbTtBMAWnPOowghJYwxzeVy/VCZXUJIO7eGYOVvClpGIVT7bAA+g5kCVhSlFSHEHRCystlsHq/X62KMhXDO116MPIqzQdf1LoZh0Epes2DcAOA2iIdwWcbjTMGFx+MJp5TWg1AarderV68bDx06dB8AREdHZ2zcuHFYVFTU75X53qenp4fZ7fZbOOcFLpdriaqqIyIiIpaU2/YaAFMB7IB4gJwAgLi4uOf37ds3yVzHB5GevwGAAiAkMjKy3/Tp01M6dux4nFK6ozw/42wZkqDzvXLt2rVxjRs3jh0+fPjr5tu3A4ifO3euLykp6TfOuYcQ4r7rrrv4r7/+enu7du123XvvvUNNwqbNvMYMopumxgLW7OzsfoZhDAbglyTprfbt2+8IXq4oSl1JkhyMsSacc0YpDQUAQkgRgGxd13NqilSqKMqggQMH9s7Ly7sC4rf97DkM9ymEmi3q1q075ciRI0+fYV0JoqRf6/R6EaM2uDh3RMOcJeTk5ET6/f7rANSllC5PSEj4R7KaU1NTJYfD0dcwjEZPPvlk+KpVq14HYO3cufPMOXPmpDmdzvmqqo51Op1zg27kLwF4FABiY2PVb7755gHOeRMAXZ1O531VcKi8HSeFiTScKqDzEIDXACAmJubt9evXbwUAQoiSkJCgZmVl9TQMozWA/EOHDq3q3bt3ZYltFxXMB/SwanSHREKkra0A+FNPPXXrLbfcEuBdpUA4oQJ/Le8Vcs4Pz5o1K2LZsmUd9+/fL/n9/mcBQJKk9xVFmWcYRvOAs2o535FjAP4A8Edw15Wqqs0Mw+jr9/ubJCcn+wE0A/AqgJ0Q4lXtzFXHQ3ze7SFUIsu3Or8D4H4IJ9orCCElnHNnRkbGIUmSelJKy/gZmqY1hSAGrsUZMHz48K8WLlzYFyIoGAAhtPc/AAgNDVV+/vnnGwkh/SVJ2uT3+3sDWC7L8q6gIf4L4Bnz9SQAL5xpfxUgFELRcxeA73Jzc2NKSkoegMgUbDl48OCHjRo1auj1ehMopY0BgDFWDCCCUnqQMabLspxXg4Z+BGIyVQyI33/79u1Hc86/d7lcOTWyA0KWcc5vMP+szjWrxUWGWkLnuaMs/WjWWBeZCoZ9NE27gRCy4XzKPV9IBJT8GGMhhJBvXS5XIFW6DEDYrFmzLgHQTlGU4QB+UBQluHSkBMZp3rz5Hs75cM75z4QQajpk5kmS5KlEnbrsARUaGlpUXHxKRaBMxOjAgQPDnE7ntszMzHWSJPXWNK2rJElfuFyub8/hElwUsNvtowoKCuZVY1MG0TVjBcCnTJny45QpU/IAQFVVfpayiA3iYdfQHAeU0iOGYUxyOBwHIFox/4Lc3NyooqKi5pTSFE3T6gFAcXExHnzwwb6c8zac898gZLYBEVBcae4nEFwEHtrLILJfkCQp3TCMZAAYMmRInWeeeaad2+3uAgCc8xAA7sTExGUAVgKCn6Gq6nCTnxGLcjLcwdA0bfD111/fEuKBagNwrSRJWw1DTPYJIfU45zKA436/v3mQyVgZwsPD4wsLyxImLU63rzNgNkSnBiZOnPhxSUlJPUrplx6PZ8+qVavi+/fvP75hw4ZbvV7vluTk5GPVGL8qaAyRHWwB4JmcnJx3vF7vKL/fv6ASyr2Vgsfjaffjjz9uuvPOO49C3E/frIlxa1GLfzIeDA0N3dmxY8d1GRkZVRKXuliQnp5eJ0hB8axKfqZGyDSPxzNEVdWxgfcVRYl/4YUXPp4wYcLsTZs2tQq8HxBvysnJaaxp2gBT4Ge8oijjNU0b4PF4GpbbBYHwFVjTu3fvnqqq3pWdnV3fXOYAkI2T4j3+zz77bADnnJ77lbg4oOt6F1VVk89hiH4QPgxDg9+shIh+scdnAAAgAElEQVRWfZwqGBX417UaxzAuaHsl8DokJGRLZmZm2+7duzfv3r37RwAGBm3zZ2C9Bx988NP7779/xtSpUz/Vdb2Hoihdr7766jSIMthOADNxGkloj8czRFGUl1RVHVtek8UUlppUp06du82ximJiYp7s3r37Wrvdvqxp06baQw899N+KlFA550TX9as0Tbtj0KBB/SCyQJtxMkg6K3Rdr6fr+vWU0rJrUqdOnadM1Vs7RAaIA9gPkYU6r0hLSwtt0qTJQ4FjkSRpn6ZpD1ZFgfVsUFU1+VyN6mpxcaK2LHL+EAHgGAQPAAMGDLjhxRdfrEMIKczPz19xMafkzczLZYSQ1owxg3O+oiqtjjk5OZFHjhx5aeTIkYm5ubnSqFGj1j3yyCORjLF55Y2jzlTrz8rKamQYRkcImWkAwH//+19pyZIlcyC+uxs55701TbuBc77X5B+0gCCVSRDXPxb/kNpsgK9QE90h5VFJQuckAKNCQ0NDiouLGwNIB3A5zHT5mWCW0lyMMedNN93kzsnJeRgAJEnKMwzjEoiMykiPx7Pj8OHDdxiG8f111123qaSkpC9EK2UzAA/HxMTkrV27dk2HDh1WmV0hD3POJQD1P/nkk9Jp06Y9YO4yD8KV9i/QNO0OQshHhmH0MfUzij/99NPETz75hD3zzDNHkpOTd7/11lvb7HZ7/LvvvruUMWahlBauW7duUoMGDTYGf4cDWUrOeQtCyJpy5ZHTwQmgS/fu3de/++67rQLHSSk9xBj71uVy9YaYve+CKI/sf/rpp6+YPHnyN0FjOABUNSPaGCLz9xduTF5eXkhRUZGbMdYG5nOBUlr8n//85/DXX3/9FQCL1Wo94fP5WuDsHSGVwaiwsLAXoqOjd+zZs+da/EN+o7U4idrg4vzBAjHbigVQOnv27Ic7d+78pc/nO26z2a5mjIUYhpFaU6nFaqIxBEP7KIApuq43MAyjO0yraZfLtbO6A0uSNNowjLkAQCnNY4xVeKOvaguk1Wod5fP55pl/7lZV9XEIUygCIC4xMTHM7/cH7LHTIVK6UwEcrOapXDTQNG1CeHj4nPNBGK7K56Cq6o3z58/f+corrygoJ3AWgBlMxDPG2ppEWjtjbJssyxmEkDAIt8w4iDJLZwBISkr6IjIy8ufvvvvuac55qdVqhdfrDYcgdLYEcFBV1QdkWX4reF+apr3j8/n+l5iYSHGyqyEf4rf3F+i63tnv9xe53W5t/fr1ll9//fW58ePHP84Yk6Kiog6mpaXdD+DEypUrY5966qkAv4eHh4e7CwsLBwL4hXOeqqrqVQCa2Wy2z+Pj4/dUtK9gpKWlhW7cuPGap556ahFjzBoeHr7v+++/T+7QocPu0xynwzCMTpTSMEKI4nA4RkN0b6ww/68sTwkAXgfwHwD7YmNju3377behjLG2nHMLADDGQiRJ2gVgP6U00jCMKAgCry0pKeldn88X6DAZBWB+hXuoAqxWa6HP5wsz/7zBPKda/INQy7k4f/BDzOoGAdg0bty4DgkJCY9MmzYtp0WLFtsjIyPXFxQUXKUoSkNJkr50OByAICvugHAZvRB4HWa9Oz4+vo7f7//U5XItqgkimGEYZTdMxlhlZnOVgs/n+wxiNpcA4FlZlhemp6dbQ0ND2wIIdzgcD3s8Ze34yQCSY2Jims6YMWPY3yC9XGPweDyXMcZ+uhg6kZxO5/JRo0aNe+WVVzID76WmpkqmPHobCCnwEMMwtsqyvKKC79MJAHeYr5+ACC4MSulnHo/ndsaYBYDF6y1TVo+YOnXqAwMHDvyTMbYseCBVVfsSQt63WCyhiqK0dLlczwNInjBhgvruu+9WePwOh+Nn07ArjxBy5+jRo9MYYxIAFBQU1MvOzh60aNGiS3w+n/WKK674ZvPmzdFer3duYWHhGxCcENx0003xU6ZMmd6uXbsvKtwJyjQo3JRSh8lT8ufl5TVkjFkBoLCwMKZDhw6nZAGCAwoAiizLHwVdv80Q94jy6AEharVG13WLz+eLsVqtDU210HoAuMvlCnikxPXu3Xuq3+/nlNIjkiSd4Jwfh2gJDeech7399tuRy5Yt6xIVFbUhNTXVyRgrMcdnADIr2H+lYZaPRnTt2nWvz+e71Bzzb7ebr0XNozZzcWFwD4R5FgAsyMnJeczr9famlIYSQpYB6JyYmDjZ6/UmmetcC+C0N60axGcAAvXOZyFY7jWJG7p27XrTDz/88BBOY9t8LrLTFaAhRDo8TLi/C35Ix44dMz766KO9EAS9UkqpQildFB8fr1ehS+Vvg8fjCSeE3FQNy/BKo6qfg6IoXRljrSVJ8potj2GMMU2W5W3VCE7dAI5rmtbnscce67d69eohAIwGDRp8V1hY2NHpdObNmzdvLOd8EGNsNyFEk2U5LSMjI9pqtV7tdDoXmedwKef8almWZ2RlZSUYhtHI5XKtq2iHmqbdAqB9SUnJ5JKSklbXX3/93MOHD3cFgPDw8EOFhYX1AUCW5U0LFy6cByA9MTEx1e/3BzgUdwI4xaMjEGARQlqb10Ty+XxbLRZLDOe8CaXUkpeX9/2AAQM+gwiOFwCYpet6iWEYnQoLC6OmTJkS8vXXX6/xer1l8rdpaWmhERERjSRJasw5r8sYCwm0mD7++OOdV61adQ8AdOrUadWcOXM+JYQcY4ztsdlse/fu3ZtvlmBnQQQmRyGC7l/Nro8GlNL6ppR+/aKioqjLL7/8rdLS0jqSJPlGjBjx3Lx586YEnWYsRFaoytB13cYYewCA7ZVXXvl8/vz5V0D4jmyszni1uLhRG1xcGDwLIVULi8XyTWZm5nwAIIRIhmHIhBDauXPnIcXFxU0AoG3bthN37Njx2hnGs0Co4p1T7XPw4MHJP/7443937969A6J1rsYVBc/20Krh4KIrTrZT4rLLLtuxf//+wsjIyH3du3f3TJgwQZEkqcDr9ba3WCwuznkjwzAiCCGMUrqdEDLH4XAEdDMSIa5JHoAn8TfWhBVFuTcyMvLDoKyFDaKksMt8fRmE9XS1Sz9n+xyCZ+EAwBijhJAEp9P5eE0GaIqizH3sscfm7du378DHH3+c4nQ6P/R4PLdLktSJMbYNQAHnPEeSJCch5PL8/Px7e/fuXZbNMUmaQ0tLS9+32Ww3WSyW9eVbwhVFaSVJ0jWMsSKr1fqlz+e76qWXXuq7YMGCWwDAarV6fT6fzVydhYWFHX3rrbcWeTye4kWLFg04fvx4hs/nGwegSFGUVqWlpR1DQ0PDGGMhALbKspyZlZXV1TCMBABextjaoNLHIADLzdccAOnVq9eGd955Z/bAgQPv3blzZxdCCH/00UenjBgx4g/GWKQkSfD7/QwAI4Qch6mbQSmVLr/88p6HDx8OEKe/BHA692ICEdDsRjmBrXKIMpcHng1XQExC6kEI2rVB5b1JyqDregRjbCKAwtLS0jf/P4nV1aJ6qC2LXBhMh+jTr+f3+yc6nU4leKGiKHXHjRvnW7169a2xsbEHbrvttjZz5sz53WKxHH722Wc/bNas2XYAO2VZ/o0QEgPR3tkCom59VnXE0+HZZ5/tKMvydf8fZu+VRELQ6/z33nvvP5dddtnC0tLSRFVV+zdq1Gj89ddfzymlJxhjOYyxXZIkGYQQP+e8LWPsXVVVwwAgOTn5RGlpaUBCORvC8fKCw+Px9ADwQ1BgUReCS9IKQnioCYRp3GEIkt+5OskCqDClX0wp3eZwOMrq7R6Pp+n69esHANiCU5Uaq4WlS5c2IoR89sorrzglSVpcVFSU8cgjj9y+Z8+eE02bNt3hcrlmmgqZfRhjiRaL5be6devepKqqzWKxrGjfvv0hWZb3ezyeOSEhIfeY3JzbOOczAtkURVGSKKUOh8MxXVXV23w+33AA+ydMmNA1Kyvr4M6dO6WmTZvO3rVr1/WFhYWX+P1+e1FRUb077rjjCIBnPB7PIkLIWELIW0VFRfndu3fvc/z48WQAsxRFWQRA1jQtgVK60WyzvYxSer+iKDGEkDoffPBBw3feeSdwygQQmh8AsHPnznqAKB2sWLECI0aM2EcI0f1+/yGbzXbwNGaA2yDKrxEQ94PTgUMEoKeFruvNOecDevfu/eKBAwduglDC3AAhJZ4CIbdd2cDCDsGl2JWVlbXTMIynGWPfut3upZXcvhb/z1EbXFwYHAJwy+kWulyuIwAeAfDI6tWrL+ncufO8EydONAfQ/MUXX7zyvffe28MYa6lpWkr37t0v2bx5cwtz07Gapn1PCPmTMfZbVWypc3JyGnu93j//hsDCDmEglQIheHXOD6UgBNup59533311TEIgOOd0w4YNxwYOHLiNc5G1J4SAsYpPv7S0dF7gdWJiYoP58+cHWjWJaTUNQshRzvnvjLE/zM+wRhEfH5+Unp6eNG7cuOC+/8442QVxU9D79SDaLysbXEyEmJXOBrAUgE3X9e6c81Zm2r2EMba5nMrqKXC73VySpA8gylFvQhAGq4MwAF8PHjy4q9Vqfc/r9d6nadq9l1122QCfz9f3zTffzF+0aNELaWlpoSkpKcUZGRmbrFZrxKZNmzYkJSV1sVqtdQ3DeMDj8ewD8J3b7dZSU1PfSUhIuNPn823WNG0ogE/NQC3S6XTOT09PD+OcN/b7/f2Ki4ubREVFFc+fP/8Jv98f8sADDzykaVrb4AMkhDzVt2/fVoSQuV6v9z/Jycm+pKSka48fP/6kucqdx44da1enTh0GwGCMjaCUegkhvzPGPBaLZS3n/LfOnTsXUkqfYIx1gHhohx86dOhlM2sUChEg/LJ9+/YZTqezMp+lBpFNqDbWr19vadCgwWDGmFeW5Rnm208FrbIbQu69KpgFYAQALF68+KvBgwdPdLvd2rkcZy3+f6G2LHJxIhXmgyMxMfGdefPmfUEIaQ4gx+Vy7YKoU9YBkKrr+gjDMJoCaEUpbQKAm2p9AABCiJ1zvg8i81Gm2qdp2gSHw/F+BcFFAwixop9QA7LFwel2j8fTcNSoUX0zMzMD6XdvZmbmTIvFkh44ZkLIMc45g+gAKQQAxlgBpdRvsVgMv99/HBACWhW4oVIA90FkdeoBGAmzR58QUtqpU6f1W7dunWsYxlKc3WSuFYAHIchmb6ACZn5eXl5IQUFBY4hrH6yUCEppKOfcyjn/HcDOnJyc36tIKH0UQtXUD6ESGeiCaABRqokwz+F/AAaGhIRklZSUdMGpAdbpkAgx4wWA0k2bNt0RHR2dVFpa+npycnJVrMFvAxCwtD8IYWlfHVwJ0ycE4jqH9erVi2zcuLEowJuJjY0dtHbt2nCXy7VQUZR7ExMTiw3DeA/CWO5KVVWPEUI6c86dAMIppd8mJCR8lZWVNZgxFgXRAbVFluU00/326b179w4aOXJk+/z8fOtVV12V8eqrr24GEDZgwIDLdu7c6QCAqKioXcePH28GACEhIXlbtmx5ghBiZ4wV79y5s9XNN988qbS0NMxiseRkZGR8yznfTyn9jXP+y8GDB38+S8u5FaKs9bc52mqa5maM9bBarYtOkxmpLrZBfM8QHR397NGjR2uaz1WLixy1wcXFiVgAD0Okul9XVTWZc+7cv39/2DPPPNN/z549pX/88cd0AN/iLO1oubm5dpPL0YpS2sS0QY6ASK8rkiRxAPsMw9hz2WWXFRcVFakQgknfQtz0CQSj/3IIwmdahTuCENwKDQ1taRhGC7P9EABSCCE/AAAhJP/5558vSE1N/QYig6GoqvpKIPgwLbUJIcTGOQ8HAEppJGPMIkmSZLbHQZKkMNP9EeZ5HCGE2AkhEmOsiBAS5XK57uOcuys6zrZt26a1bdv2uylTpqwAkB8WFnaoTZs2x890HauD9PR0a0RERIzX620E0zAqKCtQDMBKKS0wyXc7gtVJo6Oj048ePZpkXoNjcXFxX7755psjhw4d6kXQjTs5OXlBenr6XYqi3OZyuWae6XhUVY0lhPRetmxZ1KRJk96DCMaOAmioqup1jLGvq2jd3grCETgawDwAY6qwbTAaQUh+R0GUfDoBQGRk5OcFBQXXSZKUt3Tp0hdat25tGIZx1GKx/OJwOD7ESQGv/yLI18LsuOhOCOkA0TbaxO/31+vVq9eXRUVFRzIyMkYQQvovXry4cPLkyZcAQEREhDctLW0dpfT4d999Z33++eevyM/Pjw4QgznnpE6dOkuPHj06lBDCdF1vzTnv36tXr+UHDx5MhNDiKNB1vYNhGJ0B2Agh+VykyaySJP2Rn5//48WibxOQkOec/+JyuWqKUEkAOJ955hlLcXHxtJkzZ6YUFBRkQZRHajJDWYv/B6gti1yc2A/ThwMAZFlOA5DWsGHDd/Pz868y34v55JNPvC6X67szDWTO7nea/wAAmqbd43A4JhFCeHp6elhoaGhLQkj7ESNG9Jo5c2Z9ACCE9Prpp59GT5gwoWF6enqALX5Fampqh/j4+BaU0gbB+wn4SBiGkWez2b4JPChVVeVOp7M8UTAZQBKAVQgioNWw5ocVwNuUUh9jLCx4wY4dO1J27NiRouv6npUrV6aVlpY6NU2rC5zMPARAKQ01OQcS5/ygJEl7ARyRJOmIoij7K8hGTIAo9/ySnJzcD+KmugfiIfwXKIpSF0Arv9/fS1GUEACQJKne5MmTsWjRIg6AMMbq7Nmz5+bs7OxfFEXZ9dhjjylffvmlS5Kk4yNHjsyfPXt2R875Bk3Tujmdzu/NoUMA+HVdb2cYRieIh90hQsiqSZMmnYAo1fWCaazFOS+x2WwhqNoseieAluPHj+9799135yYmJlZh01Owd+7cuU9MnDhxz6FDh8qkudPS0r647bbbHp41a9aA0NDQPwkhhiRJNzocjv9deumlv/z6669dIcS3gs3r4HA4dAB6enq6NSQk5A0Ade69996Gx48fXwQAixcvLhg2bJjRuXNne0hICCspKaEOh2MvpTSPc/57t27d8r1ebyHnfGSwIu2xY8ciCCFMUZSenPNGTqczUELYE7TvTACZJrG0JyEkhHO+yjCMujExMTcpihJJKeWm5kd1OmvOFdY33nhjiM1mCwkJCVlQLvt3q/nvSwB/kTWvBGYBGDdt2rSS119/fWpBQUH/mjjgWvz/RG3m4v8XXoXIaMDpdG759NNP0w3D+APAD2eZffSGyIYsz8rKam4YRhNZljdUsF4URC+9DNFmdyel9FHG2EuBFRYuXDhFluXdnPPfJEnKcDgcZ6wLl+tC6AbRkRIgtLqbNWv2yq5du9aZ51aj/I9NmzaNCQkJyZw9e3bfnJycmA0bNvQhhLTgnEcDQNu2bd/dsWPHPZUdLyMjI9put8f4fL76lNL6gXECIIRQWZafg8mJaNWq1bPLly9fFRIS8ke7du0q3cmhado9siwP4Zz3CrxHKfUuWrToTafTGWkYhv/YsWP2iIiIupIkXUoIiWKM/UAp9VFKn7///vvvWr9+/SMWi6Vk+PDhd86dO/es2iWapvX2+/07TifoVB66rtsMwwgP/C1J0hjDMAJCSDYAZcvMjI10mmV1AHg5510452nmsiOEkDjOeQtKqccsk/UD0J4xtoVSagdw+PPPPw9v1KhRaXJysp8QEs0YKzbpMOGEEGYYRrwkSb8wxliPHj0uPXbsWE8AcLvdXy9YsCAEwME///yz6Ndff22ckpKy0G63S6aHiO+ll16KX7hw4cRy0vGZiqI8L0nSQYfDsbky1yk3N9deUlJyjWnSt87lcuVwzmlWVlZ7wzDaALASQiilVDODovOGF154od3LL7+8saCgIBaCDBzMA4uCCDgDE872ENmkSiMkJORQSUlJQE33dgg+z4WEE8AlAL5GDTrR1qJ6qA0u/n+hPoTapA3A05qmNQZwC+e8BYDdnPOlFQQZN0IQ9gBgtqZp25xOZ8XqQgJkzZo1d1x99dWBHn47xKy7DYQR1FBAPGhtNpszQAA01y2UJCkzISEhO8DlCAounoZwOuQQN7VUCDKaI+g4Ay1654T169dbYmJi7rRard94vd5ukiR9l5WVVScvL+/61atXb9+wYcNDAPbNnj37w86dO/tkWV5VE/s1sRhCmMyIi4u78ptvvjloGEZzSmmM+ZAscw0F4GOM7eac7/L5fH8mJyf7FEXpKUnScYfD8Q5EMAZCiOF2u1ctWLDg04CiIufcAGCTJMnOOe/HOe9BRA5f6tOnz979+/cnAED9+vXfW79+/eaCgoJozvnRqKgo3+LFixMLCwvJuHHjtkFkeCIgSJlHCSHFhBBfoGwDIMIkrnJCSFTQMpjHdtRM/feFsHEvrGAZbDZbidfrLbZYLCEWiyXa5/NRAHUNwwjhnEdLktSVMfYjUMZX6cc5/y5QQjL5FG0ppbGMsWxK6TJCyBGYWSTDMA46HA4OwJKRkWGXJGms1+udPWfOnPvnzp37KCHEUlJScsxutxdOmTLlo/79+09zOBxes0NiMGNsJ8TvKrD/sM2bN5Pvv/8+f+HChYMZY03/85//bBo7duwCWZazq/PFUFU1hRDSGsAup9O5PvB++c4cSmmJaXhYFf7LaWEGM7fMnj27++uvv3534G0AobquNzMMo/P+/fstffv2fRciuDMAtIZoPT0rTELosNGjR9+8devWawHshWiPrpHjryRSIDJYFMAiAMMrsU04hM7PHxBdMbWoQdQGF/8AmM6TYy0WSy/DMLwAPggSDwo81BEeHq7+9NNPKzjnOyoYxss5P8w5PyxJUseSkpKvz0LuqwuRUm8O4DEAq3VdtwFoE5B8NssJXSilc51O55uc8yQAiImJmf/tt99Ok2U5ICYEiB/5sop2VBXouh7BOb9dkqRMwzDahIaGfrVjx45BgwYNery0tLQRRDvdFYH1PR6Pk1La3el0zqyhFLUVYpa9E6KF9YwIlEUAtJIkqZ5hGDKAjcuWLWv/5ptv3nX06NFGAEAp3ePxeB4nhBDGmAGgKQSPoxTAn5zzYgC35+Xl/TZ8+HD/iRMnbobIBA0w//8M4oHyAU62Lz8BYQIHj8fT0WKxlJzJwTctLS109OjRt/7xxx8P161b9/fFixd/ULdu3UBGoh5EW6waKCWZx10SFIzYKKXHGWPFkiSVwAwMfD5fF5vNtimQ3cnMzGxLCIl1u92bACA7O7u+1+u9TpKkOMZYPUmSCIBpwRbuEGW2rwFE3HDDDXOef/75TYSQJtdff/0NeXl5XQEgNjZ21dq1azdxzmdQSu9mjM03j6l1RZm84M8GwNWc8zRCSLAL6U6v15udnJxcdLprVhFMsa8eAHyRkZFLy6uupqWlhdapUyfJMIxG5lteq9W6uQLCZQMIwu9fyom6rjcH0Jkx1o4Q0tYwjE2fffbZlsmTJ3/DOa8PAImJiWs++uij1yVJ+s7hcHgheFU3mdfx88qci67r9RhjYwDAarUuio+PZxBcMe+Zt6xxBAsV5iLIIfkMKCPOA7gGwJrzcFz/WtQGF/8wKIrSE8C9AGIJIdNlWf4BQre/8ZgxY/43d+7cOyvaLjc31+71eutCPCQcjLEWEDOQCjFkyJD47du3B9rVNFVVh1qt1j/LW6Z7PJ5Rr7322vH58+cvhWjjZM8888yLQ4cO3Zuamlpv+fLlg+vWrbvz1VdffbFTp07p5/KAN43OhjLGTlgsljzDMOIopTw5OXl3SUlJWUZnwoQJzd99991dEOZmxvbt2xuUlpbecuLEidkpKSlnNeE6X1BV9b7S0tL3k5OTGYCfAXQMLIuLi/tx3bp1GznnDSEoLjskSZIYY5dClJrSXn311cKPP/54GWPMBvGAuBfiRvsJzJmczWb73ev1XgIAl1xySfrq1avfMR/+TSECo7zywcGePXvYc889N6iwsNDIysq60ufz1QeAVq1aTZg2bdoHAd6JoihjXC7X3Kqet6Ioo4PVRxVFudMkpzYA0DQzM/MqQoi/sLBwRlhYWD1K6WRCiC7L8qtBw0yDCHIRFxeXs27duiWc8w5TpkxpsHjx4q4A4HQ6X1y0aFGBLMsvcs6Jpmm3SZJ02O/37ytvqBdAdnZ2fb/ff2tBQcGs4O9GcOBhXq+yZZIkccMw8jjnOWciyJrGa9dwzutardaVp/Mnyc3NjSopKelBCKkPAIyxA926dWtUUFAwE4DfbrcP3rJly/7S0lL3lClTehQXFzd46KGHfmrUqFF9iO4hL8xOnjFjxshbt27tZQ79I6rnagtABOaEkG6SJFkJIUvLi5VdSNx8883OlStXLi8pKWkM0eU163TrmmTcZJfL9TRjLJA5fRjCDqEWNYRaQuc/DGZZZKOqqrGc85e2bt36YKdOneyMsbgFCxZcAVHm+IvapEns2gdgH+c8R1XVW1wu18Iz7KrMQp4QkkcIiTAMo7emaXUZY35KqYUx5qOUpoSHhx/EyUC2ZODAgTmc83pDhw6NHjJkyE5CSDZjrI+u60MURdlFCDlQ1Rq0rusOxti1hBCfJEmFnPOmkZGRqeasMAIii9AewKp77rkn8fDhw08sWbJkLIAj7dq165ubmzuLUjpO1/VlZ+ORnA88+uijI6ZOnbpn0aJFPghDubLAok+fPp8888wza61W6zq/39+Sc94KADMMI1uSJBUie9T98OHDvczAAgBciqJ0JoRc9vDDDxd8/fXXAID69et78/PzDzDGpP79+38V0LFQFKUVgFjTWbY8nsNJmfgy6eedO3eqwYRWQkhhTk5OpBlgWiB4NE6IB3+FMtypqakSgurjiqLIlFINYuaZDiBy8ODBG3755ZcrzVLb7oyMjOdffvnlZRAmWofj4+Mzr7vuusavvfYa55yTli1b/llcXBxut9s/f+qppzYvXrw4DoDx6aefHuSc32geKwfwsaZpj1FKo1AB4TYrK6uNYRj9nE7n9PIt26auydaKtgt0aEmSdIWiKIHMUwljrJhSyhhjv9lsth1mh9LigIJzlT8AACAASURBVLOqpml9GGMZLpdLDR7PXG914O9t27bFeL3ej8xrbGnSpMkESumxmTNnNl6xYkUvADhw4EC7BQsWbPD5fMWEEIUxlk0IKdq6dWtq0NCnEGErARtEtqvRSy+9tIlSepQQYgHwWUJCwgX/zQRgyq73HTx4cHx5gnUQv8Vt3pMkwzB2RUZGrmCMlUK0mf+OC+fn9K9Bbebin49WAH4N+rtSRC1VVUfIsvzxWVa7BkJT4hMIe/OKxrlNluWFFovlDUpp906dOn02c+ZMDaKsAs55O4hWRj/nPJQQUo9zHkYpjQTgZ4ztoZR6JEla0759+30QpZNLIGYaSwDAFH/qzzkvJoQcMwxjidvtLu9/YIF4aO+CKA94IESMAp4MyymluZzzVrfccksTTdO6QXBAzrsyZ0xMzNgDBw58CIDExcU9u27dOunaa68d/vvvv7cmhKSvX7/+0Xr16rUBQDjnGywWy24AHQJ8F0KIQSndPmTIkF3Z2dnfQDiIPgtgsrmLMADHITI1ePrpp58cNmzYJgC/MMZucDqdMz0eTyOLxdI2mAsQhDIiMcQ1+WncuHENZ8+e/XDwSmZJqr/T6VwKYAhOCi/9AfGZ/QWqqvZijP3udrvzgFOyFqMBBLIg+yHkzgNoCvE5luHaa69d0r179y+nT59+9e7duwdTSg+PHz/+1vfff/+rwDpmsHAlgNUBa3RFUfpIkmRljEXKsrwEItvjeOCBB9LGjRt3zOVyrazouKsLkwjbFOJ3WTc4S0QIMQCAMRZBCPk9Jyfn8zNoo9wOUeIyrrjiike++eabt5s3b/7arl27HjTH2uDxeG4khESYbd3hnPNot9s9HULHBgDG4wwz/AowAcAMQNgYbNu2bYndbl9aFbJyDeMKAB0++eQTa0JCwszExMSjAf4KIaQ1IcSOU914q0IYrwvRTZWOct+1WtSiFgIShDEQt9lsP//4449DKrFNU1mWlwG4G4IgVW2oqnrbWZY3M0s5AES9Wdf11h6Pp4eiKHcqivKioigrFUXZMmzYsG9himIB0HJyciI1TRul6/onuq4/oet667MdT25urv3xxx9/ImgcDuB6ANB1PXHevHnjIQhtHIKr0Kyap14pcM5JUlLSj4Fjadq06c+qqvbLyMi4dv78+Y9u3bp1TFZWVkdVVW/QNG2koig3aZp2S0ZGRovTDEkggolgWCA6ATgA3yuvvDJO0zS3pmkTMjMzm6iqer+qqrGKopzOl6IhgI8sFstnM2bMuBcANE0bmZubay+/oqqqAZ+LPjh5fT3l1wtAUZTRQa+TNE3rZP7ZzGKx7De3nxZYJy8vL2T58uXDLBZLCU79DJ9WVfXG0NDQXUHv3R+8r4yMjBaqqvbTNG1A0PHemJ6eHqaq6qUTJkyYEdiWUlqlTomaQHp6ulVRlFaKovRRFGW8qqpvm/9uMz/7PmaGKYBLWrZseYmiKNNUVZ3y5JNPuiC4Nesh2r0rwjUQInyfQmT0qoL7cfJ7uj07O7t+FbevSXSE+TullKqqqo5QFGW0pmm3VOY+YKI1BAF7JoQoYQAEItPJIfgssTV43P8a1JZF/vkwIFpR47xe777IyMimqqreZ7PZFp1hxjFHVdW+EOI3xyEyE+cFjLHDlNKyG6FZ1/7F/Fc+bdsX4lwAoNXUqVPXPvLIIxKALzjnuwAk6boeGRYWll2eJGc6iw4sLS0NU5RTrF2OQ6hcwuFwZECkSN+GKB/5k5KSyNatFZbjzwmqqrYnhHTWNM3ZoUOHT7dt29ZekqSwgQMH5hBCelut1p0dO3bcByDC7/fXi4yMXFNJu3UOoDzB0A8hiHYTgPVXXnmlB8DVhJCjlNLrJEnKMgxjpCRJp7O+zgcwyu/3o1evXl00TesmSdLqkpKSPghK1wMAIWT3Pffc03HGjBkbrVbrmDZt2lyXlZX1+OkOllIazLFJdjqdMwHA4/G0OHDgwHV9+vT5HUC+KQDW/8SJE6xVq1bLCSHdZVl+8dixY5fm5+dvWrNmTVNCiNdut68tLi4eY16DUzqnCCE+COJy8MMizCRk/tqvX7+yGapp+35BYZp5naJJY6rA9gfQSJKkUsMwWimKksQ5DyOEuAkhYZzzDABxw4cPv2TKlCk3nYW39AWq6bi8fv36PTfffPOs+vXrJzZq1OieGlb0LA8JIlvWCoILsQMoE//q/thjj3X84osvKAAwxppWIstaEV4FMNB8vUdRlLclSUrcvXt34379+gXcb+tABCGVtlaohUBtWeRfCM450XX9Zs75IVmW11awyk8QHhaAYGGfqXX1jKiM62kVnVEnAnjFfF0KMUtnQFlLX3PTubOu2ZVQ1zAMmVJaBOB3xpg/Ly/v24EDBz4BMfuZBjGLC0Y/ANdHR0d//d133zUihPwgy7KCc0ROTk5jn893pelN8qthGHskSXqSMRbu8/la+Hy+T8PDw/ddCM0DQMixU0r7UUpjDcPglNJOhJA7HA7HGSXEFUUZDuBHQkgvWZbnBC2KgWjpSwDw6xNPPHHN8OH/x953x0dRre8/58zupicQAoFAMDQN2RJKAOkgNQJKUUBQRLgCShHxigULYL9iLygi0vQqiIhSVQgiIiWQ7JQkGCCU0EtISN+dc35/nFlYQioE9fe9eT6ffJLMTp/Zmfe87/M+z6gou93+UymrqRMfHz903Lhx2r333hvWpUuXNi+88MLavn37JhovkJF2u31RcnLyrSaT6XbGWMH58+dX9+zZ021oR0wym80rXS7XaM75EM75lNjYWI+keSwEGfmq0phxvLEA6nteRoqi3M85dwLoWFxcnNi+ffvBTZo0Gdi4ceM5CQkJ1VoSuRFwzklKSkpPt9t9O6U0kHOu+fn5fesRwZJlubYkSRMBUF3Xz3mrwEKcB4/xYUWlgZYAxkOowF7mXCmK0gmCcxFLKV1WolPnZmA0DB5EQECA/Mcff7xs2MwTzvkWw0dpCYSa62xcy5kIgVGqdTqdjUwm0626rjcwvnuEcx4yYMCAEceOHesCAJ07d/5ywYIF3wNINb57f0C00wKCDP3fm3q0/wdRE1z8D0PTNCvnvLuu60tKsNrbhYaGfnjhwoUkiLbFKrXaeaOSwUVl+B0AgLZt27bZu3fvToiHpgKDN1ES+/fvD3O5XAMANCaEnOacmww5Zn9AKHFSShkhJE3TtLTyfD9kWe5OCAm32Wwrq9rNkp6eHlxQUNDP0E64wBhz5+Xl9X388cfjs7OzI4YMGbJq1KhRa40y1N8CRVEiGWMDKaWDKaWyxWJ5qUWLFhaIh3OpYkSyLE8BkGmxWHYbXQ4PQ5D9mnjm6dy58yPz58/fU0onRihE2rkegEwIDgUglE3/LcvyRELIfs75rYQQ1VCo9Wy3NqV0Cuc8gxBiNUbt0HX994oEwIwOj46EkDp2u32ZpmkxjLEnAMy32+2JJea9l3N+0Ctg+VvhdDrbEELiABzjnB+SJKkDISS/oKBgjbd9uaqqIwkhindw6tXZ0ohSGuLF8ZCIMD3UvLxv/sQVI7QuAAqCgoLeql+/ftFnn322JTQ09LObYdLnta/RFy5cGHXXXXdNy8nJCQEAi8WiFBcXl/yeNwSQDNFRtDI9Pf2B4uLi5rquxwwaNGjmkSNH4urWrZv+/fffvxkcHJxjZHryjN9hAHJ37tyZ/fbbb99Tu3Zt/sYbb6yrVavW5fPYunXrB91ud2/j38qY8tUCUIBSyPL/q6gJLq4fBCJddhw38PL9u2GkXUdKkuQ0ygIAqvbCLw+yLI+22+1flfdSruy2DCfXoV26dNmVk5PTCkLU65rRKSFkMCEkBsAhSunmsrIARvttc865HYaAEgAQQvIBpHqLgRmj3vskSVpRUcvdihUrpJiYmG6EEDtjrB6APM55c0IIkSRpT1xcnCs/P99DpKtsT/5NhyzLMyiljaZMmdJu69atXSCIbF0gujKaQGSMUgFx7oqKih45dOhQwbhx4/afO3euJBHUNXr06OkzZ87c4CFreuF2iJHhVSCErHc6nesJIbcwxj43lnsF4sX4itPpbEgIGUYIWQMglDG2KzY2VjXaSifa7fZPyjs+TdMCdV3vxRgLNZvNAbquy4SQxmUFv7Isx0uSZLZarT9UePJuAjjnRFGUbpTSWwCk2my2Pd6f79u3r67FYonnnJs9lvMAoKrqfZzz5MqIfXkFHpEAzHFxcZ8VFxeHAEB8fPwn27Zt65eXl9cEAEJCQmZmZ2e/Wc7qqgyn01kPwIOU0lsNobacDz744MKCBQte8ZotX5KkP5YtWzbDZrPVAxA+ffr0Rlu2bHkdAAghhbIsv8A5L0hNTb04YsSIy8+Sl19++e277rorW5KkTMaYi3OuS5J0AcCFzZs3u2bMmLHY7XZbIcQJX/Da5mAIU75ciM648oLMCRBE10sQXKN/RED6d6MmuLh+LINwhTwBIeDzt7ViVQeM0Xnz1NTUxcOHD9dVVR1Tnt12ZaFp2j3+/v5ry+MLVCa7YYhdtS+Rhr+MlJSUWxhj4xhj9Rlj291u96qqiht5YBioNYNhNmZMJoSQLMZYE8655iVSBgANzWZzn3fffde/W7durXVdp2az+RQAi67rGoDM8+fPb/WYVjVs2PDe48ePe1oCtwPoej37Wd3wug6ncIXEtgDi4QmIctntgAigNm7c+OKyZcuedbvd1MuDQ4cgAROLxZK9fPnypsOHDy+ZQvcxmUwJbre7I4DvgoKCrAACp06dunzkyJFnHA6HR29gLIyOkaCgoPTff//9c8bYckmS7isqKvosLi7ucodScnLyrZIklVWCASDabSVJ+jeldFdxcXFmbGzs5oruPUVRHADiyrrvbgY0TbMwxgZwzutKkrSxIqVOTdMsnPN+ACINZc8UWZZHA9jrcDiqREzt3Lnzv/bt2ze2oKDgEISSrtnzWWBgYGZ+fn54mzZt1ixatGgFKhYRi4IQ5toCkaFCQkKCKTQ09E7OeQ9KaX1CSB3G2F6TyXSUcx7CGLMcPXrUZ8iQITNdLpeZGMZxAPDUU099O2bMmJ0ulysvLS3N9OCDD75SVFQUHBwcnPbHH3/cI0lSVnR09EmIl3srY5tWCF6VR4wtTJKkMMZY2PTp06M9AQqEsmxJgqsJV8jdVyExMdHs5+d3C+e8WatWrWa73W5PCeUVCOFCb4RBCItdr71BbYiW7j0AKsO7+keghtB5/fD0/UdASM/+bWnt6oDD4fg1MTExOTo6+hFN0zYyxqrFUIkxVnjx4kVf3MCXQpblboSQYK8H/DCIDo9vFUU5AGCSruuEUrrI4XAk3+g+GwZq12gYfPTRR/V9fHz0jh07OlRVHUcIOVtQUNCgV69eg7Kzs32nTZuWbzabi9xut1+XLl2e37p162cQPIQD3utZv359u8cff/zlLVu2uPDX+y8AgizXCULeubQ2u00QdvWXunXrFrhtm/DGI4RIqqrG67o+AEDgG2+8Ee1yuSTvBZs3b77qwIEDwwHA5XIFT58+vbTrXrRv3743Dh06dKpZs2ZdOed/BgUFzbl06dJIiGzU5fk8f5hMJjch5DeTydTbZrPNK7nCVq1a/akoShdN0wJLckY8JTJDLnx7y5Ytv6qoi8kDu90up6WlnVNVdTIh5DNDyfKmwBDLiuecB3POv61s+cHYpx8BUT5RVXUMY+wspbS1LMvFDofjUAWruIz58+dTh8PRhVL6BGPsAQAghFzgnH+Tm5v7CAAkJibePXr06A+7d+/edMKECU1lWfbO+hHOee5vv/12ePLkyZshSmCn9uzZo/r6+jYz2s1dAPIopYWc8yJCSE/OuZtz7iKEuAoLC7NcLpcZENkbY73uM2fOfKjr+jFJkgJbtGiBoqIiNwDk5OREz5kzp+tzzz13SZZlnD179v0NGzY069mz57HIyMjLnUEulyvLZDKdd7vdJ0wmk3PLli0qBF/DF6IEWAteaqeaplFd1xvDaBv2Pk+UUj9d108ASHe73UdxhZ8RgKvxFYD7IDqmOqNqxoAwtqtBOAdfdgz+/wE1wcX141sADxBCThmGS//fwxgJfqhp2j2c85gKF6gE+BW3zeuCLMuDCSFnvPw/IiAImBKA+44ePfpWVFTUrIpIiDeCFStWSBs2bBg4ffr05W63O6Bv377fzZs37zhjrH5mZub57OxsXwDQdd1f13V/ANA07RFJkmYb5l7/gaEeKcvy3YSQi1u2bHn1Zu1vJbAcYlRaCPGwUkt8vgJCmGvzlClTPg4ODm6elZUV/thjj4VwzmdKkpTBOS/q06dPVlJSEmOMUQDw8fE5Exsbu80TXHDOyYkTJ57F1SM5EhUV9cWdd945MCoq6utPPvnEabPZ3k5NTW0mSdIpq9Xq/UL9plOnTn0yMzODH3vssQRKqdtqtS4psa8NIUaXpyilyznnD8LQbtA0LVTX9btcLldhSkrK8uHDh+teQUWls7bR0dEnnE7nYkrptH379i1p06bN2couWxkkJSVFmUymXgUFBYWlyYFXBQZHZJ8sy0055z0JIU9GRkYWHDt2bBRE98z9KINH43Q660mSdAoAli1bZps6dWrhhQsXTISQua+99lrh008/7YZ4Z2QrirJVURT+4YcfjkKJbjJN0wK3bt3aHiKwAID6WVlZdRo0aECMwCIfADjnFgA5BheCQnRoWerUqVMsSRLTdZ2SK5b3ppCQkHGc80wAhZTSQovFIhUXi1gvIiKiDkS7dWB4eLhpzJgxTgAgwpXWz5CdD9B1PYAQ0pgxViDLcmHr1q3/0HW9J4CINm3azF+yZEkABOHTnzGWR4TXTjaEOzEHkEsI8WeMgRBiZozlxsTERKSkCNX8yMjILuvWrbuXUiqdOnXK1Lt37/s8l2bIkCEPzJ07t5gb/kAASgaPATDKs4SQbM45+89//hOyfPlyjwx8HLyIqv901JRFbgARERHRS5cu7dC7d++SD7x/AnoDeBqC9PgkRDtipSDLcltJkmoxxmIqaFmtEJqmdSkuLs5s3br14bLmKS01bXS0PMAY2+2d2o2Pj4/ZsGGDApF6d0NE9NUq4pOYmBhisVjaUUojDOKn/9ChQ9v++eefUwEgJCTk8Pbt2/9LKa0HIGvkyJEORVHaQRDMPK2yP0F0nSAwMPD0zp07ZwII5JyPAvAcY2xPCRJtL4gH/0+4+cz0TIiXMkJCQh7Nzs6eD1y+Dl9DjN4CAGDx4sUZbdu2NRNCCgEUM8bOSpKk6LqeCwD79+8PysrKKjp8+PDt77zzjrWwsDCICHOzyxoY06ZNe+Hhhx/eD8CxefPmhtOnTx9rfKRv3br1lTp16mwCMFDX9cWUUrfZbM52uVyMUtqPc34AQEdK6cpSlFMfgCibMAiBp/rx8fHFb7zxxi4I8qLk4+PzjbetuOde8/B8qtKpZHA7RnPOE6tabigNmqa11nW9nSRJR2NiYjaVwUtqAcHJ+RnX4dfx6aefhk2aNOm08fLG2LFjn54xY4YsSdJ5t9udbTabc/Lz87Pj4uLyFUUZd+7cuaV16tR5HsDQzMzMzu+++27fbdu2LSoqKjJzzj2DBBeulEs+BTCp5HZnz55tWrx48brDhw/HBQYGfrd79+4/dV3PJYQ04Jy3ppT6GPdIIABwzi8RQk4SQnIXLlwY9O67744AAEqp29MWLEnSfbquf+21mQ4QROKduFrsrjeAIIgW86uI2kZHWZDn/1atWn3MGBsJAI0bN35t7dq1hwkhUmJiYu39+/ebR44cedBkMnlaXnVAGPJRSs8SQk67XK5zsbGxqyHa5AGRCZnjtcnfIHhLJyFKG1XtsvGD0C3pAJEFGV3F5f821GQubgAnTpxIq1+/fvuK5/xbsBBCFbEXgN8hMi2VAqU0qqCgYEPbtm23aJo2QlGUslpWKwRjrFCSpIoyF1cFuenp6T6qqk4E8I3D4bjcX65p2h2c86YJCQnjCgsLB0KMsCsbWPhDkLQOQTyMAIishNVqjTYMnjwPuvMWi2XXbbfd9gsg+Bx33XVXxNtvv+1mjJnsdnsGpXS51Wo9D8DPz8/v3ebNm2fabLanv//+e1fr1q2b3X333fVmz57dHkCt3Nzcz20221JFUT4vKir6l9lsNkmS1F9V1QDGmJ6VleXq3r37F8Y+PghRjinNXO6G4JGlvu+++zakpKSM9/f3P/PFF1+0aNGixecALlFKA3fv3p3fvn37Yojggh89enRBmzZtwhljdSilPoSQCM55T4hSz4Xo6GhGCAlct25dTkFBQQgA+Pv7X8rLy7scXBw+fLg5gHxd1//72muvFUAEUSaLxZKn6/pSAHcSQn42VFkDioqKmptMpmGc87Oc80Gc8x8B3CnL8iUIl9Z8zrlfu3bthhQVFUkQWaw3AIRu2LABffr0WdOvX7/7y8tmEULyNU0LZKzyZXDj5b9cUZQhmqaFVdZ23cALEKWmtU6nc6MkSZEA9jgcjgXlLBMLUWc3Q5SLBldhewCAiRMnnoO4VrcSQoratGkzsLCwcJCvr+8lQsglt9t90c/Pr0BVVcYYqxcWFtaTc96Dcz7nl19++Xbr1q0di4uLr+IiUEpzGWMe0an9pW132LBhD999990jWrdufTE3NxcxMTFwOp29KKVFtWrVei0rKysGhi8LRNBUTAixMsZqu91uT7fKZb0RPz+/c1u3bvXx9/d/AADS0tKC5s6dO1iSJPfs2bPRvHnznpzzUx06dOiSn5/vOaeXM4YeGLwn74zBYxDaNhePHj36jsPhKIJ4kW8DYHn99dc/BDDVex2pqal1XC5XXUmSIgkhrY3vhOfjq7yVIJ6/rSFUka8n41AAUXIJKmXd/2jUZC5uEKqqjrFarcurKC37V+CyvPX999//9FNPPbXLZrNtq8R++rz++uuPP/3002/BSJ+W07JaEUJbtWo1KS4u7s+FCxeWGdx4d4sYrYYPFhYWLvAQxTRNa67ren+TyfRjTExMWUJPFeE7CFEwPmDAgIdff/31YqM+zADIqampmnc7qnHMcYwxH0KIH2OsODk5mcyZM2f3oUOHEiHktV+EKC34AUDTpk23r169enZsbOxmWZYfeumll9b26dNn1IQJE/YGBQWt9PX1LTx79mxvXC3HDmP5LIi0MJ599tmH7rvvPjdECTufEJJWUFDwp3fLYUns2LHDLzAwsIEkSRG6rtehlHorDsLQPLAAOC1J0slFixadfuutty4HZka25hVK6e558+b5L168uA3EA/aaUb2iKJ0454/Gx8enHT9+PAzABxCktd8gXoQ7caUGjUaNGvXMzMzc6vl/6tSpL3z22Weml156qWjAgAGLGGOdDMlwOJ3OAEmSHtZ1/bTJZMqyWq0byzpmiFHcEuOezuOc1wKAevXqjfnll1/00rxxPJkKTdOau93uMMMRtcq+Ek6n83ZCSKTD4VhZ8dwIA3C5lDJnzpwZQ4cOPeFpj4TIaF0ihARzznM8v8ePH99yz549nlHwKYgs3fUgHMCAOnXqjD9//nwnf3//rPnz5z/epk0bE6W0HmPMwjlvYehndKeULmGMhcbFxcUXFRWFeVZCCEngnO+WJClc1/WxxuSfYWToPJBlebAkSX+W5rDrdDoDKKUjCSGHPFLzTqeznslk6qbreiiA4pSUlN9Gjhy5DiJjQwDAbDbn7t27dxIhhHLOWZcuXfrm5OSMAQBK6dspKSlvud3uhp06dRqXk5MzCQD8/Py27tq1SzX2nRNhDXBekqQ8xtg1TrIwyhLDhg1rnp6e/qQxLQWCFFoexkA4sh4BEA+DvPq/jprg4gahKIqDUkqtVusNEwmrGc0hWP4KgGWKokRyzrtRSv0opb/GxMSkl7KMLwRpyArRGdAJBsO5rJZViLTtQIh6bskWrCQArQghLoPDcQClQJble/38/H7Iz8+PoJT2s9lsCwghbMeOHX7BwcGjOeenvDgXVYLT6WxCKW3vcDhe5pw3BwCz2TzN5XIthmitDAPwXEJCwoF69erdrut6DCFE55ynUErDANQmhMilXF9vPQAAQERExDcbN25cRSmt63K5vpIk6U5CiNS+ffuxBQUFHpv3tyCEwEpiEETWYhO8/B40TbNQStsyxtrput6QUloLADjnjFJ6Utf1g5RSyRAMO6nr+gkvzYIqwevFa+Wct+Wcmy0WyxqjLHYrRMCwCcDp2rVrj87KyvK8lP/QNK3H2rVr7/Xx8RmamZkZNW/evDYAEBUVdfbw4cP1vLejquoYzvlJxtgBSukgm832ASGEa5pWX9f1+zjnOZTSrXa7vWQQdhmGIFkXp9MZkZ2d7Zw8eXItCJ0NJ4BHNU2L13VdLUlm9Byj0eZ5HyGEXk9wAYiglzHWx2azfVpa0K4oSjNCSOfz58+T7t27vwlB7s2DaOutDG+jLsTLOxrALIh750ZQAPEdR9++fZ+bN2/eOUVRVuzdu7fl2LFjnwXQmRCylnMeTCmtM3jw4OgDBw7UgeiWIADQoUOHNVlZWb/++eefno6et3HFdwaaprUCEGq1WreUtyOqqsYC6Mk5/68hiOVZ3rJp06b4GTNmfO81exZEIP+B17QFECUR1K5d+7NtgnVMNmzY0PCVV16ZUlxc7DtgwICX58yZ852macdbt25tKigoaAiRLYlgjPk+88wzPTIyMhoPHz78t6FDh+4DcEiSpP1Wq/Vtz7pLHl8NKo+a4OIGYTykRjkcjpsmkV3dkGW5LUT7rMtsNv/gJeNrB+CtRBmJElG4p2V11apVS2bPnt0Qwhq8HsSDqxmu2LRTY5qHST4QJaSiPXA6nb1MJpOZMRZit9u/MaZ1pZTaDDXASpM1De+F2ymlJggS1vHc3NzfO3XqNBQimDgEkcEYD+A1APD19d2amJi4gBCSACBQ1/WuhBBKKV1dQonwHYiA7WeIUco0AHl169b9tnnz5kEvvPDCT40aNQo1BLvqRv9j1QAAIABJREFUv/rqq9KGDRvah4SENDhy5IjHeGsixIMRmqZZJEkKKy4ubuB54Blp4stgjOkGGe2ExWI56bHl1jTNAqAFY+xWQkiQ9/wA0nJzc1Oqah9fkn+QkZHhm5ube+fevXvDxo4d+zbEyC4DInB9AMBiAGjYsOHFn3766XNd1+ucOnUq+8033/Q5cOCAlJGRkbphwwY9IiIiIzY29kcIXsSw+Pj4w2+++eYfnPOTnPODDocjTVGUZgCGUkoLCgoKFpXW3mjokvTTdb0+IeRsUVHR2vKyOaqqTrbZbB+VcYzR0dHRb7Zo0eLUjz/++HAZq6gQmqaFMsbGm83mT6Kjoy95Ml4AOGPshFcLcnMIX4+tuPo7VhkQlNIOeR34EsAok8l01u12Ozp27Fisqqrz0qVLjTp16nR2/vz5fxJCCgkhFwGcnjlzZsSGDRtKlmI2Q3AaekGQC3+AwecygsNelX0WGqqjg3RdD0xLS/vGKyC2QATvt0Do2LSA0U7qhXAIboMbIvC4Soo8ISHBFB4e3tDtdt9CKW0Ir5ZazjmfPXt24KpVqzzKw5n79+9v7XK5mnDOmzgcjuc55zbjs6cgyis1qCJqgotqQHVpQvzVyMjI8M3Ly+sDIZV99t///ve2n376aT8E2U+GqBVeMyJLTEwMGTZs2PYjR47YSnzUBiJbAVwRofHUa8cY/18DVVUfBVBss9kWpqSkNDCs0/+oSAK7NAdEQkhqQUHBrvJeOgamQniIgBCy2ul0vkspjdJ1/bjD4dhSCrkuGF410wkTJkxp0aJFaOPGjY+3bNnyEqW0Fue8kHOuU0pvy8vLa9ShQ4f7YQRXLVu2XNSuXbuLTzzxhEwpZUbmgRFCjum6fsLPz++4N/HwelFO0OEGsL+8oKMccuMsXHFY5b/88stzvr6+ZyZOnDgoOzu74cyZMzPvuOOOxoSQeVardRzEi4d36NBhyK5du9aoqvqZzWabCxGQEQD8o48+Gt21a1fqcDi+VBQlDiL4PFiamJosy20ppVbGmO7j47OpsgRjTdMaM8Yc3lkvr2NUcSXd3RciYKwyPIJpnPNJABI551tKUST9p4C0b9++7VtvvXVvaGjoR1artSkEWRAAsG3btqm1a9de6ZVJ8Gj5AGKgoENk165puzcC0Sk2m+2t8gTzSoOmaaGc80EAUryEwsIgiJA7cXM0hHrjyjUvWXKaCWELcAFCp+Oa8k4NKkYNobMa8P77799qNpunu1yuZSgRQf+TYbS8/QgICehmzZo9CqOLAOW4gcbFxREI5vNlSJJ06Z133gmeNm0aILIi3+Hq4LVUoR1FUUZwzo9wznM1TbuHMWayWq2fl/aAMhQWb6eURnimEUL2xsTErKjqAw3Ap3Xr1g2PjIxsNWPGjG2c8zSbzbatnPlzIco6zQHkL1iw4FkIjYihnPOTKSkpzRhj/QkhLRljZh8fnwCjxc4CgKWmpr6ZmpqatnTpzY1BDc0Dzfi5DEP059agoKD+qqqWGnSUs9rL5R9CyNGXX365ybRp0+zffPNNHmNsBSFko81mO9qnT5+lfn5+XQoKCgCANGnSZPjy5cs3FhYWEn9//9b5+fkMgCRJkjs0NLRJ27Ztzw8cOPAlSilhjH3vLcHtdDobUUp7EEJCOOe/XU/wbrVaj6qq2nP//v1hpQQk3iTFnhBlny/hpXNQFhITE/0tFksPSmkYY0wihPxms9lGGJLh1aIPc5PAd+/enVi7du0YXdfjIyIiVp05c+a02+0OB7AlJCTEyTkfnJaW9lV0dPQlCO+OuyGyJsMgsi6ldp3l5eWNLyoq+vg6vocwsoNLFEXppCjKkyaTaVHLli3PAfi+omVvAJshuuna4upyCyAyFV9AfOerlP2rwRXUZC5uHN0hvnSAGAXcUfas/3h0gNFJIUlS1r59+x43mUzHzpw5s80rtfsIxKhvPIQozOV67KhRo96YNWvWN1arNQyipRKUUr1///4/rl+/fii8UrsrVqyQWrZs+SildIMkSeHFxcUP+vj4POv9EjDSrK0ppXUNP4Q8Qsg2u93uLfzUGCI1G2Hs26qKDtIgJNoAnDl//vxaj3JmJVAH4vq+CGPUO2jQoI2vvPLKCULIaUmSEgghR1wuV2fO+ZHExMS5c+bMOcEYa5WZmXkMQu/hGtnrvxOeoIMxdiuAfoSQHcA1mY4eAFYRQkwAKOdckiQpc/fu3Q+npqaGbtu2rdOPP/5oO3nyZHcA8PX1dRFC8rp27bp+3rx5f3DO93Tu3HlTbm5uCAAMGjRow969e3NPnDhxLwCYTKZEt9v9aEZGhuKdSTt//vzPVbg2pcK4zybY7XbvdtvlAHo0btz4fQAFR48e9XR8/YArLpmA6ELRASHE5Xa7exj6Bzrn/OfY2NirpOcBQFXVfpxzXp5S6N8NVVXHEEL2cs7Hf/vtt+/Pnj27FsR32p2YmGi2WCyDCSFuu92+GlfKCWVmAmVZHkUI+a3E9/K6kJCQYAoLCxvGOS+y2+1rridYqUEN/q/gQYiXJodQPPz/HRN8fX2XT548+UlApJZlWR4ty/KEkJCQDFw51gEQrXIHAHBKKfviiy8Wq6o6bO/evW0BzAsKCkoeO3bsR06n8yo/AqfTGaCq6kxFUZopijJO07T2iqLcL8tyU1VVh6mqOkZV1TGKogxMSkqqVcH+PuO1T97eC/4QNWEAopQjy/JgRVEecDqdTVBFePZNluV7mzdv/rvXNrcCOBsQEDBPluWJiqL0BRDZpEmTgw0aNDgCkV4tbf/+cfBWrUxMTDRrmmZVFGWoqqqvb9u2bdkzzzzzJa4cixtCJOkYAG7oYHDj72LP32+//fZ8VVVHhoSE5HqmPf744283bdr0T691cULIUUVRhqenpwejmqEoikOW5W4lj1FRlFlDhgxZ47Uf3lyIDwHo4eHh2vbt28crijLE6XSWVF8sc3uKooyvxkOoViiKcr+iKCNUVX0uMTHRXNo8ycnJDWVZfkjTtHI7JWRZ7q6qaufq3se0tLQIRVHGa5pWLWJ+NfjrUZO5uHEEAFjm6+sbW1hYOBOVGDn/BagLwXY+DCHIVOXov7T6OyEkg3MeBQATJkz48bHHHvvGarV+CkNwafLkyV9NmjTpVsbYpwB2MsYyzWbzRAAtbTbbWEBkIxhjD+i6flCSpJac88MAAggh7SilSywWy54qcg8GwijtEEJy1q1b9/T3338fsmDBglkALA6H46nly5dnA8iSJGl9ZeSbDSfT9hDM8kKDH3HYa998IUihQRAiQgDAo6KiQg8fPnzxtttuW7F///57jen7ILgogOi06F+FY/tL4X3NDU2MeAD1vPwtJEmSPpckqXe7du1+GTFihDZt2rTLZLfw8PDDlNLMs2fPtnW73X4AsGTJEjUuLu7kd99957906dIW7dq1u/jMM88c+eGHH47PmjWrG4S0MiCIwI1w/f4LFR3bpMDAwMW5ubn3eI7R6XTOPnHihHvUqFH9s7KyggE8pWna0e3bt/efOHGit8T4ExDdHd+ikmnytLS0CLfbPeRmS4ZfD2RZniBJUq7FYllbWFgY7yFRlwan09mVEBJjsVg8pZLLSEpKijKbzW09bcQ3A9dL7K5BDf7PoLJeBTcJMyCCiK4QaV0FV0Zj95azXJko43gmQTz8OSHkB1VVB916661HAXCz2Vw0f/78J1RV/ZcsyzsURVlqjHynqar6Q2Jion9KSspITdNWK4qyTNO0GbIst/UoB97A+fPx7BMAfuedd05s2LDh157/w8PD9xijMwJgFMSL4nI2ZMWKFZLXCH2MLMsTNE27x3BrrAjhEMI2HKKLon5AQEBCQEDABVw5/4tMJtMJiLTyC2Wu6R8AY0QbbmSNxlcia9Qd4mXLJUnaMmrUqNG+vr45JpPJ1axZs+OTJk36XVGU5F27dp0OCAi4CID7+/tf3LBhwxBjeQJR9/acrwTcpAFPYmKiv6qqD3rfZ5qmvex0OqcrivKKLMsTFEUZP2vWrEEQnQme63fJ6+8qKfE6nc4ARVH+vW/fvrrVeCg3BFmW26ampvb9+uuvJwIwaZp2T0pKSrn6GUYW6x5FUTzXDZqmBSqKco0y583Ajh07/FRVHeN0Onv9FdurQfWghtD51yMS4kVTXQzo7rjS/x4Pr1IAADRr1sxx4MCBb6updumC8fDnnMcyxoIXLVr0/Mcff1y3c+fOZ7p16+ZgjMUSQvIIIbfpuv7T+++/fyIjI6Nxnz59PhgwYAChlH5gt9vL7YGvIooA/AKgjyRJ5+Li4prVr1//zBdffME457R9+/ZHfXx83r/rrrv0H374YTIAWCyWzvv27fseolXVpeu6kpaWtuY6tCFOQxDCbgfwk8VimZiXl9fD+OxPCKJYkdvtfsiYNgnA3Bs83psCVVVjOec9OedF586d+6qSXIeHYegm+Pn5nU9JSRlTWFgYBACFhYXnH3300UzOefDJkydz8/LyOgNAfn5+yPHjx7s4nc4+hBD2+++/Bz7yyCMeU6gew4YNi1m1alW5XUJeiIbwSNkOcQ+UBhMAd1xcXL6maccYY+0MQmZ3znlbk8l0Ttf1XR6lTEmShkNkpACg0GQyfeR2uz0qj4Mh2qknoXTDt6sQGxubxzl/S1XV0bIsV4tk+I1AUZRmnPOmLVu27AHRFvzvuLi4nvXr118McR1nw6t7xAOj8+pbT6nEZDLt0XW9F6V0/l+x30Z301JN05rLsjzlBsX0avAXoSa4qCZwzk9pmla/FP8Db4yFcMHUIdjXP1bDpr3TyJfrp4SQvLp16/4xffr0FYqijFIUxR0YGLimsqZIXICWEAdaA6Hz0BLAq55+dk3T6hNCbne73dSQZj4FIHT79u1ZCxcujAOArVu3DuzWrVtUVbUXKoIkSeOjoqIu+fr6btc0rcvcuXP/7evr++BTTz01oFGjRj26d+8exBiz6LrezLNMcXFxvWpsHf7T+MGwYcOa/ve/l21B9kDU7VtB8BNM+IdxLgydgZ66rjdnjCmEkIQKFCcnQBBZ50PIGSfC8DqIiorKiIyMNCcnJ/cFgNDQ0OOU0sO6rt/SrFkz5dZbbzWnp6e3qVevXsK//vWvJ3HlvvUjhNzOOb8tICBAff7555u8+OKLrYgA5ZwzzjmnlErGPckIIdmMsROGdkYExPfJimulqB+HkAU/NG7cuBGc83AAd/n6+h5wuVybCSE99+7dS1atWiUBMPfo0cPn6aef7n3XXXcdLi4ujoqJidmRnZ3d7fjx42chSn/BEFoVTwCYXplz7CUZPvQ6JMOrDYYzbBe73b4EVzIwzQsKCp7OyMjwKGx+DPHdLhWtWrU6DuALRVH+A+CMJEk+uA6/k+uF1Wo9AOBDp9PZS1GU3kap5B9VcqrBFdRwLqoJRutcc7vdvrWc2TwS1IBQYZxQTZufHBISMjU7O/s24/9TAB6QZfkQIaQVISTQ0GAwUUr9CSHflRCHugYVGY6VI1blHTx4d9KcAVAfZfA/vCXAK4P09PTgN954Y+bChQtnGZNyIB7+iI2N/f3LL7/8AcApxlgrQkhwZmZm1qBBg6LdbnddiJfD75XdVmUgy/KdjLEjrVq1skOIii3GFeGf2yDaOX+Gl43434X09HSfVatWjdu5c2fHunXrfvLZZ5/tAMrVuQAEV2SD8bdqvGD4559/Hp2UlBS+e/duh9GC2h4AoqKiDq5Zs+a52NjYrx9//PFB+/fvfzE/P//7Dz74IAlAWgn1TV+ITqT9KKcrARDy8IyxuufPn2/Uu3fvjZxzMwA899xzHwwfPpxCBNjFACwdO3YcmpeXFwYAgwcP/u9rr732ocvlusNsNh9s2bLlfz/77LNPJ02aNE7XdRMR7sb1w8LCdq9du3ZOXl5ezIABA6yFhYVjAcBsNh9yuVwefsgsiGvqgND/qBTnQJbl7pTSBjab7euK564+7Nixwy8oKOhhjxIqRIvn3RDKlzMg2i4BId/erbx1aZrW3+12n3G5XIqfn9/djDHd6Cr5S5GYmBji6+s7mnOeUsEztwZ/E2oyF9UEh8NxXFGU7hXM9h2AQYQQxjmvzi+kAq++fX9//z07d+4MJ4QEMca0CxcuHAwPD2+o63pXXdctlNIZiqIclyRpfVnpxddee+0UpXQUgPcSEhKKyhCrWlmBWNWvHTt2XLR79+6gCRMmJM+fP/+GSzNOp/M2SZI6FBQU6CtWrPBOn7sAuAgheo8ePTYzxupTSmubTKb5bre7Z4MGDda53e7jN7r90mB4n1hatWp1jb6Egf0ow+Dpr4SiKOGEkH779+8PeeaZZ17mnAcD6Ldw4cL2S5cuve/2229/Kiws7PkPP/zww5iYmPOEEAkQUuOTJ0+O+O233zyrCigRCCoooXty/vz5U7quH5BluXt8fPxXx48fDwTQdsmSJa88+OCD96mq+jNj7LL2iaFM6iG+wnCjvUqt1MhiFJlMpsK6desWdOrU6c2kpKRBgYGBO++55543AOTb7fZsr2xbMETZxNW2bdtDxcXF0yRJaqjreq6mafFffvlle13XTca66wPAuXPn2iclJfXr0qXLbd27d79l06ZNAAC32x0FAOHh4XKLFi3o9u3bxxjb+BCVDC4cDsevmqY1V1X1UavV+slf4Ue0YsUKKSgoaIKvr+8nXqXRYRDn+iAE38UNoa67sIzVNAfwvo+Pj/TTTz/99/HHH/f4vVwulUiStKs0L5Gbhbi4uGwAH6uqGqsoyiOMsVWltQbX4O9DTeaiGlFJ++bw1atXD42MjFxYCRXJysAPgskeAACEkNOc83sB/GbIJTfXdb0FpTQYuPzQrmcEHg0IIf7vvPNOwueffz4bghz5wN13352xfv162eVy1apVq9axX3/99XmTyZQYExOTUlXuhizLDzkcji9UVR1TWFi4xngoXIPyzp2hVdCLcx5FKdVsNpsn6yABeJ0QYgsKCorMycmxAkDXrl0/OHz4cMqFCxd27Nq1q4vZbF5xI7bx5cFQJnzIo6PwT4SqqrGMsQ4Ass6fP7+6Z8+et8IrCHrppZf6vPzyyx8XFRW1AICOHTsuWLBgwTmIDEAeISQ7Ly+PT5w4ceCFCxduGTp06Lpx48alQKiP5vXt23fOqVOnWgJAgwYNfmWMZUVGRv6xb9++ZyRJooQQqbi42NPGOSQtLW13cXFxO4fDseYmH7oJQiDrEAyzOFVVpzPGzqanpw9fs2ZN03Xr1kVevHgx2MfHx5Wfn2+pU6dO4bp16zYFBwcnZGZm1nn33Xf7JyUl+Z88edLTkqlCZBx/h3h+VsbY6ioYkuGji4qKPi9N5rw6oSjKJLfb/XXr1q0rFAcrB0sgFHYBIV0/seQMTqezl9vtbtquXbsOjLHOAN4D8MkNbLPS4JwTTdMGMsaC09LSvr4eX50aVD9qMhd/PU43bdp0FaW0H4DrMuMqAQmGmyYATJs2bcb48eMjCSH3FxUVSZzzAojAo4BzbiaE+HLOsw0HSRfn3LJr166xMFQY/f39n46KikpwuVy1AODixYuRa9euTZo1a1ZlSXaXIctyN0LITgAghHzt4+NzP4BFlV1eUZRwCGlms8vl+rFNmzan4aUQmJyc3MxkMu1jjKW0b9/+Uc/03377bSCEvLd75MiRHVVVvSmBBQDk5uY+XFRU9PnNWv914BEA8wD8+emnn87p3LlzXQDJJay9UyFaaO/y8/NbMWTIkDtXrlzJZVnIPNx///1DKaU/EEISGWNphBBXQEBA7aVLl5b0jHABwKuvvvru/Pnze4eHh59+/fXXdwDI7dOnzxTGWC3GGMxmsyflkQRgbXR0tFtVVT+n01mviqPNjhCeNZUtablRQtabc37O4XCsJIS8zTmv5+Pj49q0adNhHx+fE2vWrJHvuOOOI5mZmc2OHDnS84477lDfeOONZT///HPQM88883RxcXFgz549lffff/+W2NjYX3Vd7wHBUeiJUoiQZcFqtV7QNO1Ti8UyWVGUb6tDfKo0KIryAKV0/fUGFk6nM8BkMsX36dOHnThxAgAQGRnJjh27dndjY2M3h4SEEMaY5z57D4JfVh0DqHJhDHh+1DQtNDo6+l+qqu7zkhGvwd+EmsxF1VELovYcC6G46HEHrGzmwjPveLvdXl0vpZGBgYETmzdvnpScnDyjsgtxzomqqn3GjRvXZ8+ePR6nzjlbtmxJ6t+//6zi4uJ2AQEB3/zxxx/zITQfGCFkT2XTnyWPUZbleJPJdKAUR9ZQq9W6PC0t7bCu6y/KstyYUmoFkHX27NkNRufCFIjuCx4XF/f8F198cZIQst8ri9EOwojsOK5oUADAPbhJ2iOKogwAcMhut6fejPVfJzIARAFAYGDg1Nzc3A+N6WaIIPMicFlvZCohpDUhhF+6dClww4YNzZs0aRLStm3bHACEc55//vz5H+fOnVufUnpp9uzZq/z8/DZXlHHbsWOH37333jvj+PHjLwNAt27dPv344493GCqrHhCI+v6v3tMopQUAsgghWRDaJFmyLJ8ePnz4BAjCISDIlO9dx7mZEBgYOCU3N3cDhH8EAKBjx449Pv30UzOAyEWLFpF33333Y4iAfQmAsWlpaRFnz551nDt3rn6zZs3yOOemLl26vHbp0qVbjFU8Aa/nQFUgy/K9kiQdKOE0fMOQZTmeEHLcbrdX1STtsrEhpfSSyWRaGx0drUN0yOhr1qzZ1qxZs+6EkIWl6E60gMjkmHx8fE7s27fvSavVeo3t/c2GqqqdOedtnnnmmY1r164dB8FB+whlSJfX4OagJrioOu4D4PnCnIcw2AEAaJp2j7+//9rKdGRomtafMaZV16glMTHR7OPjM7Q8QRwPOOdUVdVeAFpKkrQhJiYmG8Bgi8VyeufOnWE+Pj47rVar5nA4Ar788ssh3gGTlx13AKVUcTgczXVdfxVCqXMwRA0XSUlJtSRJ6l4y9S3L8kSHw/Gp1yQ7xMtiHACEh4ev/Pnnn19wOBxpnHOakpLSlDHm6NChw0P5+fkDjWU+B/Cvcg5xBkTgt8/Yp2oX30lJSWmRn59vjYuLOwTgKCrhSXEzkZSUVMtsNt/doUOHEXl5efEQHRQdITpUmkK0a9YPDw9/45tvvvHPyMhoEBcXl0QICeOc5zDGoiVJqldUVFT/m2++Cc/JyTn30EMPHXzppZc6rF27tg4ANG7c+PW1a9cqBonX5Xa7txkdBNeAc06fe+6511555ZXvUYbkuSzL0YSQSLvdfjm7YKhg1oYI4mubTKbajLHg22+/fUBeXt5IAPDz81u9a9euVYQQSgghwGW5chgdJpcMJ9kcQshFxtill19+ma9cufIUROYDAD7z9fUdWrdu3e3Hjh0bgitE4wm4Iox2FMKZ8xqEhYVNzMrKeiswMPDc1KlTP/L39zcPGjToKKU0yTDc6wBBlCyE6KgpKwBtNmTIkDHjx4/fO3DgwB/KmKdKkGW5IwCzw+EozyvnKqSkpDTQdb0rRFC+p7ygJDEx0ezr6zsKwAGv4N6DjsbPKkVRunLOexNCfrDb7deYnd1MJCYmmnv16rUhOzvbo40xCVeuaw3+AtQEF1WHDeKlZYbwz+jn+UBV1di8vDx06NDBWdFKOOdU07T7q9NNtSJ3VkN1sT+ltBGl9LuYmJiTEBmYHQD8mzZt+t369evHeivxqar6YEpKyvLS6piaprWy2+2rGWNRAFCrVq3HsrKyPiSEMEVRHggMDFxZMtDSNC2GMVbPYHg/AZHCv+xPEh0dvWXlypWLgcsEvlOU0hZPPfVU0Pr162dDjD7uxpUulL8cGRkZvpcuXXrQ4XD0gCAMXoBwkD36V++LUTrqQwiRAgICvmnSpAmHKCUdwhVehSfrg8DAwAvFxcVScXFxSGRk5C9r1679KS0tLWrdunX14uPjC3788ccOX3311a0A0Lt376SjR4/6/vnnny0BQJIkVr9+/cPx8fGdxo0blxMYGNjZMJEjjLHjXvbiUFV1GKV0h3GPlbf/4yml31RCfbELrpjh3Ytyrv+OHTv8QkNDaxcXF/tKkuQHoPaFCxfq3nHHHctdLpc/IUSfP3/+lM6dO7cjhJxljB2ilBYyxgp27NhRZ8aMGS8VFBTU6dq167cff/zxMk8WRdf1AovFUmhkUjzfh3YAtgHwDQgIeH/37t1rGGMNO3ToMNwTDAcFBS3+/fffFwO4wBi74Ha7swyuRXMIMqxvQEDAvp07d37slembCTGQ+Q7AS8a06QCGAvgaV7I4Jc9nS875rZXhs/To0SOsU6dOg0eMGOGilOZUZGFfEpqmtdd1vb0kSQvKagk17s9xAMA53+FwOH4tbb6bhM0wvJ6aNm369po1a5I550ySpEuMMc1ms2X8FaTa/1XUBBfXgblz505auHBh3tGjR73lgEMIIQmccwdEev75itajKMp4m832RXXd4GW1c6anpwcXFhbGc85DiouLvylBqrxsPQ4gHcId8jI85mEOh2MDSsePEBLcvEePHvf16dMnat68eZN8fX2DHn744feGDRu2Q9d1uU2bNme99nNSamrqZ8OHD18LQw7bz88vPSoqKuPYsWMP5ObmntE0zcIYG8g5Dw4KCvraCFIsEIHITa/jloX09HSfoqKiuYQQp9VqnQ+j/RUiyKgwa1Rd0DStOee8E+e8MDU1dVV5JLZ27dp9lJiY+AjnnERERKSeOHGiJQCYTKbCjz76yDZjxgw1Ly/P12Kx5MXFxR3dsWNHSwDo1q3b2eHDh3/53HPP3ZOdnR3hUVN98sknt4wdO/ZnAIs9ui6yLDellLYGEMAY8yOEWOx2+wcQQfh4iJLMpyiRRUpPT/cpLCy8v5IlQs/zqspdR2lpaUHffvvtzL179w7t2LHj8ZkzZ/aVZXkigGMOh2N9idkpAF+n00lMJlOQy+UKppQGAahNCAkyyNA6AD5kyJACVTZJAAAgAElEQVQ2Bw8efMI4n6lJSUlHARS/8MILzVevXt0SAB5++OGUxx57zMQY0wkhlyCCseLVq1dbZs+e3Q4AzGazOykpaSVjLCI9PV0eNmzYVM/OzJs3b5rL5Tr1zDPPrPAc/6xZs7qNGDGiQJKkQl3XC0wmky5Jkl9xcXEPm832aXnEa03TYn7//ff+U6ZMmVNcXBwIkWEZV9VzCgjlU19f31Gc893lZTtkWe5NKb1d1/ULAJTY2Njfypq3GhEL4BUApzdu3KhERkautVqtBwx5/xaU0hYQzxQAACEkH0BqTExMqvFMbguh6ZIH4CH83/CO+stQE1xcB8rIEAwG4Gkv9ZAoy30IOp3OJpTSW6qrT7tkcFHKqLa0ck0LCIJcGIQ89culrHec3W4vi4gZAMFxSAewC0K/418AYLFYViUnJ3+i63odSmkI57yQMVZACAmTJKlOp06dMi9evPgpgEJJklJMJlOoJElP7t69O2Djxo2Od955Z+/x48d/gXgpRUOUOqpDeKxCGO6QkRB6BoGAaJfknNsB/HHp0qUNnTp1mgehdHgUIg1eXaqrZcLpdLaRJMnGGDtXykvxKhjp8TatWrV6lTEWDAB+fn5TCwoKngMQ7uPjo8XExLiSkpJaeZax2+17FUVpC0B//vnnE3Nzc/k777xzu+dzQoj7zTfffLFPnz67KKVDAZydMWPG/p9//tkB4Sr6hyzLkwkhJznnwUOGDIk5ePDgk8bin0AQTq+CqqqdCSFuq9W660bPTznnYgohZDNEp0MQpXSx4QR74QZ1GmIgeCOhAJ4CMC89Pd3nxIkTjV999dUHGzRoEDh16tRUs9nMjaCksclkCtJ1/cyBAwdO3HPPPfMYY2aTyZS/evXqrtHR0QeOHj06tXfv3rM4534Qmbom3bp1I9u2bUuH4ILkv/rqq20HDhwICF8ewhiLoJT2BrCVcy5RSv2NUhGnlJoZYxTiHnUTQnLGjh17ae/eva8ax3ABwvH3uqEoSt/Fixdb33rrrdEQpaCxEKXSy0hMTAzx8fG5B8Alg1C+1+Fw7L2R7VYFmqbdpeu6q6yBkizLtTnnNkJIY0IIjYuLG1lUVHSn8fG7EKJsNagk/teDCwLgAQANIVqszpf4vJPxsxpGKxtQZnDRFCLF6Q9gC4BK6eBXJ7HTE1woitKMENKFc15Q0ajWgC/ECLxU5r4sy91NJtOJUoiYHoRDKCUmA3gSQhURkiQt2bdv32uU0jqU0jBd14MIIYRzbqaUxnPOz69fv77xs88+20fXdTMABAcHn6xbt+74gwcProUYQe6AuAaASPU3u2brZUOCuC6HUUa2wxNEGATS2oyxAgAw9vNgcXFxqqddMDk5+VaTyXSbzWbzDnAiAHjaNm8KjFa7voyxWyRJ+t2o6ZcJWZY7EkJa6bq+uVWrVn9C3LseAahiAObg4ODdOTk5HYxpGZIkRZjN5ouSJEke4amoqKhPc3NzR547dy4EEEJS77333qoePXq843a7+1FKtX379jUbO3bsEsaYhVJa+J///Kdt//79I2022yZj3W8C+DcA1K5dO+G3337bQwhJ03X9NOc81eFwHCaEcFVVJxcWFi4okZanEPfWadyAoZksy6NMJtPvnPN2brcbhJA6hJBOX3zxxbGMjIxaq1evfgpidHq98IHgKlSqKyk9PT3Y5XL1SkpK6jV69OjJnulPPvnkyDFjxpgPHjwYPGbMmBdzcnI8/jaPQARm3SCyhGvg1TFj8K0ePXfu3Efesu0GZ6kH57wRISS/oKBgvVfra0MIPk4DCK2Oy5mSG8AqiLINylun0+m8nVLa2mQypbrd7lhK6a9WqzW5GrZfIRRFcQDoXlRU9EklSkDvAnjM+Pt6ScT/s/hfDy5GA/CQFb/HFfXM2hCyzZsg0rqZABoD4CtWrJCio6NHeqSvS6Dxww8/PHXXrl2zZVmu1MNq165d906ePPlEYmJiEoAb6XlvEB0d/R0ATJ8+/aNJkyZVqmulslBV9UGbzVaacZMDwE4IvY35K1aseG7cuHHJubm5kQBYbGzsncuWLSsA0IhSauKce14SFgCdRo8eHSLL8j1e69sE0Y3zLgD4+vqeLSws9Bg/bYVo+6sMqDF/VwByjx49Or///vv1PEGE94yEkEMFBQX7ytMc2LFjh19wcPD9Npvts0pu/4bhVRoKI4RsqIj8qyhKJwCxjLEtsbGx3qJdLQE8CJGl8jz8s3DlPPwOoDMAEEJ0zrlECHFzzk9CeOFAkqRiXdd7ZWRkJObm5j5MKV3DOY/cs2dPn4ceeuhFYz1806ZNeyIiIj4wSMD9IVLLXSBewI/t37//pNvt7uF2uxsRQnwJIWcIIW5CiB9jrBWldDOA1NmzZ6evXLnyF4jrtw2idl5l/QJZltsSQoLsdvtWVVXHGIFNj2+//TZm7ty5DxqzrfY6L38lKMQLeXDjxo2TV69e/d7w4cN9Dh48+IHxmWTMV27J7ZdffpncoEGDJR7eiqZpjXVd70IICXa73RvLUtmFGFSEQTzfqgOXA0kIUvU7Zc2YkZHhm5eXN5wxduT555+PvXjxYu9mzZp9uGjRop+qaV/KhFEmHkspXVGBXYMvxOAzD+L81+hn1KDSeAKG46HJZNqjKMr9I0aMGIqrnRA5ANcvv/zSf8WKFZKqqrGqqsaWtUJN01qV93lJSJKUYGzjMLzcOqsCWZY72u32X732t7oFnfzCwsISIDw0vN1Le0CUQzzbPagoyv2EkBOeaVFRUY9pmtY4ISHhGk0VWZbju3Xr9iBEVoGHhoZuX7169ZSlS5c+HRISkilJUoHZbB4PYBDEtarQqdRwcLTOnz9/uNd+8SlTpozXNK31jh07/CpYRamQZfnx6122qtA0LVBV1fsURRmvaVpoRfMritJJUZRJTqfztgpm7QzxoPS+t1MhTLg4hNutOygo6GSJebjNZjuoqmo7r20OcTqdXRMTE8133HHHl6GhoVqbNm3eVBQlTlXVkS+++OIqr+VLLd8kJib6y7Icb7jRPmQ46rZVVbXzrFmzJpTYh+YVnYeSkGW5tqqqHvEnKIryQFJSUpSiKC83bNhwVolz8HfCBxCZBpPJ9AOu7Ne+jh07/ic5OXkIRGA4AF4cAQA+9erVS4cofayQZfleRVHGOZ3Orpzzv2Pg6APBTRiJK4FRuZg0adIQiJc29/HxOSnL8hRN06p8rasKzjlRFOV+TdM6VDx3DWpQddSCiEi3AejEOactWrR4EyUerAASnE5no7Fjx77Vs2dP5/jx4x8r68vLOaeyLI+u5Pb9S2ynIvnwq7ajKEpfWZanJCcn3woxSvCs57p67svBCK91n/ZsPzAw8IjXdAbgeVmWx0I8YDIBbMQVvYlSYZDqGvXr16+n0+l8TFGU7zRNu2fFihXlPpwSEhJMsiw3VVV1kKqqY7x/NE3rsmbNmiCI9ksOUa667sDAsGCv6MV9w3A6nfUMu/MHKhPIKIrSSZblibIsR1dhM7UgMhWe63bY629vq3jPz2/t2rWb99VXX/VXFOXzESNG3A6gNwCzsf2xgGjNVVX1K03TGhvbmehZR61atc4qivJecnKyt5JlPQB3wWjlTkxMNDudzl6yLH9pyEkneO3Dflz9Uq0Qxstjmuc+4pwTWZZHGfbd77z33ns9mzRpctzPz+8cgOFVWfdNxkSI75IbRiZ15MiRQyDKWRxemi1PPfXU0/C6VnfeeWepbbP/cPTAlWPIB2CSZbm7oijT9uzZ0xRiULEQJeTlqwuqqnb23MM1qF78r5dFSsP7KFErrF+/ftbHH3+8Z9iwYb2FQSPNTUhImBIaGupHKVVLOh2WU0IoDashyKCpEISrS+XNrGmaRdf1OymlESaT6fvo6OgTxkchAGYGBwf7Ll++/M+77rqrOnu620GQNYnFYtm7d+/efxNChnXq1KljTk5OW2Oe+2VZPsQ5vxQbG6tWdsVGlmcMAF/G2FbGmG42m3d40pUlORHeyxJCDrnd7qTY2NiySlASxIjvEK6TE6FpmlXX9cbldMvcMAwTuG6SJOWeOXPm+4rszg2ipl2SpN3XWatuB5HC9nBF7jOmb4bBFYqIiNh+4sSJdRBk2ixVVSe/9957pz7//PP/MsbMMEoJhmHfUF3XL5jN5l8YY2055/XuvPPONZmZmUsANA0PD5+7efPmCMZYV0JI3sWLF3O6des21PDzOAZxjYoAobfgdrvbOxyOryCCb0AEt55OiUrBCFA2eO4jw/+lrsPh8OnXr9/MgQMHbr3jjjsO5eTkPNCxY8enILJy/5S2xGYQ2TxPa/NDMJRtAwICsv/444/jlNKL586dO9KnT58+LpcrjBAic85boWwSuT9EGfg8xLW7YZ+fagKFGAx1geA0LANEMNivX7+nfvrpp9eM+RSIEmy1w+l0NiKEDOacf1HOs6QGVUSN/Pe1aF1yQmBg4J7t27d/yTn3WBP7S5LUG0AuY/+PvfMOj6pK//j33DslCSlA6CU0QWBmEkB6UYqKgIgUKUvvIGDZn4uuuq6uuorrrgVFRRELuIhYEURcDYqC4EAy55ybBAJEEQXphJA695zfH+dOMoT0QtF8nsfHZOaWM+HOve95z/t+v+IqxlhnAKeEED/ExcXtEUIQqMCtPdQNoqQLdtTy5cvvmDNnTokKcikpKRF+v3+YlDLCNM33YmNjC4s2nQHwQHp6Otq0adPdMIyBLpfrq3J87pL4AUD/Xr163fbYY49dDWASIeQf6enpfgCzoR7eqzVNm+V2u4szPwrQD6o4KoFzflAIMVjTtHPp6el3hoeHN9Y0zSOlfIRznl+wZgURX1Xgi29CWYNXCJ/PV8s0zb6FRL+qDMMwOpum2Q2qHfKN0rYvFFQsL237EvgBasYIFBQg/waVwbsdwLl169Zl9O7dO79DSNf1NUeOHPmHFVgAVpFtXFzcoT179ryTk5PztN/v/y4uLm5DQkJC7Y0bN44khDzi8Xi8v/32G9xuN6SUz3HOByUlJd0QMAoD0HzUqFGxH3zwwQ8A0LFjx8OPPvpou4iIiLfPnj07G4APqg6nzHDO+5immRy0nr7gmmuuWWia5nYAUz7//HN9+/btfd5+++0HJkyY0AsqsN8AVSx5ObAfUEGnrutdGGO15s+f/8uZM2cajhs37hdCSIwQol6dOnXkpk2bvqGURvfs2fNIRETE01LKfYSQcwGr+u+++67Os88+23nfvn2tTNMM1CtNh3LtvRwQKMK+3mqlzS+it9lsIT6fr1N1FH7GxcUdSk1NfTU7O3s6Y+zry0xx94qlJnNxIfOgKp0Ba92wdevWL3300UepDz/88M2MsatGjBjxy9SpU88SQvb6/f5wTdNaa5qmm6YJAFLX9d969+4dkZ6efiOUHHVnKHOxIilJNtzn8zXQNG0wIYTUqlVrbVnUPwElK0wI2V3I2rqs2KGEmA6q4bFhmqaNE0Kk+P3+ZTabrRMhJC9Ync/r9UaFhobe4HK51pVy7J8BNAOAu+6667UZM2Zs0TStthCija7rbzkcjuTs7OyxZ8+eXVfIvv2iQyldGBoa+mrbtm2r1CY9ECRompZQFg8En8/XkxASq+v6D1UtE10cRXVErV69esq0adMe9Pv9bbp16/bflStXznC5XLmU0jmhoaFv5uTk3Gy1yH4NqGWbkydPdu7fv39/KWVnKP2XFQC0Bg0afHH8+PHrGjZs+NWmTZuWWh0cZteuXa/NycmZZbPZsv1+f3eoGWuZsZxfBwTZmkdAqadqhbetX7/+vmPHjgXW9yVUoFWm71d1QCltTQjpJKXUodqffw4NDd0auP4s6/TVUspsQki4lLKVpmmZUspjhJDvhRB+QkgjqO/vXgAn4+Li7hZCFJ4wPQrVdn65o0ONsz2AfxmGYVrBeMCAr8rlvEtrV62h7NQEF0UTDWAIVJBxBKqQ6ryHtGEYVwkhRtrt9k9M06zt9/tbA2it63rjvLy8q7t06TLAukmgd+/etz///PPvlMcRNJAqB3AuJSXlg4o4/VFKF1Yw1fcWVJW0ePjhh98ePXr0juTk5OXBY+CcDyaEnAssCVFK/5Sbm/tRUR0XhmE4/H5/P13Xm3k8nr9LKVtZb10PlYoHY2xyTk7OJ127dj2TkpISkZube1NsbOx75f3MVYVhGGP8fv+uuLi4tKo4XpDkentd1zeV0NYbPIYepmnGXcygIgBjbLLb7V5VWIyJMXbnqlWr3pg8efJEIYQzLy9vU0hISAuXy7UJUIGQruvtXC7X24QQqev6KNM0A3UC6VDLd/kEHFt1XT949OjR/w0YMOAwrDqMvn37Pvftt99eMKstDutvvNDtdi8NGrcdwK/WMXMBvAe1PBDgFwBNo6Ojvz5x4kT/sp6rKrC+4z01TbMJIUxd138CsLM4tcvU1NTInJycD6SUj0kpW0IFTXMIIWeklDYpZTQhZJ/dbl+anZ0d89RTTw1dt27d1Ly8vFpBh5FQ2amL4lhaHQRNuJy6rn/YoUOHwhIClSLQrnr8+PGXqiOA+aNQE1xUAss6eVJOTs5rhR+qrVu3/v7AgQM9APy0cOHCm+bPn9/OEo4BgFwhRKLH49lDCJHBwYVhGJ1M0+wOlSqvVPRseQDMdrvdRUoFl0ASVPsi2rVrt2TdunVLYmNjT1nvaQB6AvjJMAyPlPKs2+3+LmCtHjhAcnJytGmavaHqJIiU8iurlbIz1M0tAUESxlbb5eSA5geldK7H41leXov3qsDn87ltNluzwAOzArihJLeT4uPjX4+Ojh4BwOF0OteXxfo9EFRIKb1xcXG7KziGSkEp7WWz2Y4XDoK6d+8+a9euXY/YbLbT//rXv14YMGDA9Xa7/TzJ+JSUlCZ5eXm3CSFei4uLuwpKLl+LiopK27p160qbzbam8HENw4j55z//OW316tWPWC/lLl++/KE+ffq8WAZpcABKM8bv979fhAtoRwCjoZZ/tkEtlbWzsiNXA7AnJibe0KlTp6p44DqglCFTEFQ/tXbtWt3lcrWXUsYKISIsE8CUrKysHWWR3La+ywsIIW9JKZ+QUj4FoHdOTs4nISEhd0gp3QAOa5p2yDTNPi+++GLIK6+8chMAWPLlNilloLj6NajlzCsawzAcUsrBUspmQoit5an1Kg2rXXWqpmnvldKuWkMN1UNqaqrTap9qFPy6VYHcCkF26AHi4+NthmG4OOfjre6A5xljf/H5fHcZhtG9KsdnGEYjzvn4sm4fHx9vGzx48DIomWajf//+7SmlIzjnUznnU+x2+yqo2U8WAM/HH398W5MmTbaFhITs6dat2zTO+QTO+ZQNGzb8yeVydUc5AljDMG5KSkpqCwBJSUktKKXXl+/TVh6rDbSyN14GqwL+1ltvfdDr9YaVtgOgZvGU0jmWK+UlJS0tLYQxVlQXxTewPlv//v2/8Pl8Yzjnd6WmpkYGb2R180yzOln6Alg4efLkDpTSFwzDeMrqDCrcFTMNBZ0DqYZhODjnJRnU5ePz+QYZhnFBvVQx1B07duwLy5Yty3cQppR6qui7F+jE+fnVV1/tZ3UwTWWMTfb5fO6KtIhanS+LLFM3cM6XUEo9iYmJ7Rhjo6zx97I6cl42DOP/+vTp8y4K/pZZQT9nQ2UMf1dQSq+xvju3Wh1CNiidFVcpuxZLTbtqDZeKBrBm94GLMFjfwjCMW0rTKAhqJ30jKSnp2qCe/zlWS6WrKvrVDcPowTkvVXzKuplf8KAIHi+A/PbTLl26PD5x4sTPA79HRkYeTEtLC4GqqThqvV4uMS+rNRUAUAUP+XLDGFtkGEa52h4DpKamOhljMx0ORxoKbuajS9vvcgoqggnWiAjiJVifbdq0acs55wsSEhJqM8YWJScnXyAhbRjGLYyxQCF0IOiYSyn9s8/nu50xNtb6m3eEahd+G0qUbbC1f/fSHvqMseaBh2xZYYxNYoxNDn4t+NqrIBEIag3t3LnzLZU8HgD1PbCk/AGouhLO+QvWz7GBz75t27ZQSumC7t27b9V13a/regZUwWRwa/G4qhjT5YphGDGMsRlRUVGB4MpEOVr8i6KmXbWGqqQnlOxrs2Le7wrVky2hboSrALSnlA71+XyDAGDPnj31KKVDi9rZMAwHY2wkY2xeYmJiU8bYpMLbeL1eO6X0GsbYOErpbZTS6ZTS6ysq5MQ5n2Ct8RZJamqqk3N+l2EY4SUdp06dOo8TQkR4ePjxlStX/rl79+75egZ169bdzjkf369fv7+i4GZWYmttYQzD6BgIhDjn3cojSFZZGGNjfT5fq9K3PB/DMFyMsfsZY29yzsfb7faeANYBeARFFBIGnS+WUjqHMda1EsOuLrSpU6c+B9VBERzgOgCMffzxxz/hnD8ayNxFRkZe9c477zywYcOGRlBLX/m1FYZhdGKMzQsYn1mvjaGU3kopnWMYRg9LPGsKY+xmK7irDdUSPpJzfrvX67XjfAhUm+wvbre7XG2qAODz+WZRSm8Nfs0wDJfP5+tX3mMV4j2o6z4BBa20FYYxNsrSsSn8+mOBoItz3o0xNsx6KxIXapVIm832W+/evTfs2rVrbJCgXTQKGRX+jqAo+Pz3lLJtqfh8vmaU0oWB7FENNVSEdrAUI6HUJ4viLyj05W3UqFGSYRgjGGOTKaVzrOKy82Z+AeVFzvmsQYMGxUI59k0tKrgoipSUlCaMsZGU0jlLliz5a+3atX90OBypULoFpcIYW1RUit5SSixWgbLQEs6wmTNn1oX10OScj69Tp854qHayQKamMQpUH8vdxskYmxcQP7pY2QtKqYdzPris26ekpDShlN7m8/ke5pw/WpbMUPC5rOxUmf7dLhF/Q8H1fZ5hU0pKSkRSUtIUzvntlNLpzZs3/xvUDDk3PDw8CQVia/lLhXv27KnHOb8rISEhX4XWyqhNtYLo+Yyxhrt3767POZ8SFhaWnxFr0KDBxCK+I26c/x1siHJgGMZ9Pp+vS+HXV61a9QCU7ke5jleIhiijQmVJcM4HFJeSZ4y1Wb9+/UsARgCo5/P5+lkTGwIlOiahWuAFIcRs1arVHGu/hpTSaYsWLZqPArXWC8wKfwfMgPp8e6CsGyqNlZmcxxjrUBXH+71TU9B5Ps2gZh4BF0j/kiVL7h46dOgZKaWwqrrz1q5dG/XEE088YZpm/uyMEPIlY2wNIaS+lLJlQkJC3JIlS1o5HI6zS5Ys8TZu3LgBACmESAZwKDY2dkTgPDNnznx6xYoVfyk8mFJ4CaptFi1atNixfv36VwghmqZpexwOxw9FtU+mpaWFZGRkzPV4PPkGPIZhhJumOTs0NHRZcMtbVFRULyllMymlXUqZ6PF4dhdVXFmC8ZoTQH1UwLfAMIy6UsoBbrf7fcMwboGqoK+2oirDMMKFEGNLcH4FkO+HcAOUwVk9y6LZ6/F4vGU5D6XUA6BXWVtQLzH/hZJxBlT7aH7tA6V0bmho6BtZWVmjHQ4HHzBgwJuHDx8OOKsKFGRrhgP4NLBffHy8rV69erNGjx5dd+/evdcC+CAxMXGDzWa7LTs7e3loaOj1pmlGDxo0KOHYsWOboa4fALibMZYqhNgX5JlSlxDyo1WkeARAS1hCXGXB5/P9KyQkZEmhAttIQkialLIuVBdJm/IcsyoxDKOzlLJBkAFcYcJDQ0N/zcrKioBqGW9HKe1BCPF7PJ4UKB2TnQBIaGgodu7c2Q1Ag5CQkJVt27Z1QWWFplnH4gA81fqBfkfUtKuWjT+iiFZtKFnqTlBp6yeC3rsLBYGFAGC7//77n46MjLy7T58+x4UQuQAwbty4nIyMjE+effbZyQCg67r44IMP6gkhFgLQCCHikUcece7bt68BgAaPPfZY2nPPPbfSZrMRTdMcUso6KJjlwzTNFqVlLwghWQBOzpo1q/vu3bv/ZJpmlqWrgWPHjiUTQs4BcAghemRnZ09gjPl1XT/k9/t/JIR84/F4fmvVqlU2Y+yDV199dcHs2bPNzp07+4QQ3U+cOLG0bt26dTnn/QDUsvrl40sT4eKcxxFCiutmyEEFDZFcLtdJxliY1+uNMgxjQ8eOHScBKKviabkRQkzXNK3YDItVC3FNRkaGX9O0dNM0I4UQn1qOo6Xi8/nchJDeuq4nVlL86mLyrN1u7xEWFuY4c+bM0sCLlhbDgbZt2+akpqa+n5OTM65Vq1Ybjhw5Egsgt3bt2gmnTp3qBZX12xZ8QKut72OoBzcBcGOnTp1i0tLSXpZSzn3wwQcT//e///XKzMz8JwoCi+0A3vR4PKcYY3dIKfcSQqRhGG3feeeduY8//ngtAJtRziBA07TwIjp3mlmBBaBcQysUHFeCcACdli9ffkoI0c7j8RRrVtalS5erd+/eHej+iAHQKDY29hvDMG7y+Xzt4uLiPghsm5WVBY/H87PX64167rnn/gqlHUFgOeTWq1dv41dffTUdwKnQ0NDPqlrX5feGy+X6xKp1WdSlS5fMvLw8F1Rrb5nuB38UrrTg4p9QLVSboSSji9V+MAwjPC8vL8put0eZphml63qUECJqwYIFrb755ptAqvFezvkvQogsQkjEwoULG3799deBQ2gAYJqm89dff71eSvmbpmmRQghBCAl3u92NCSGQUiI6Otps06ZNLcvZ0UEUyVDiLzh8+LC3U6dObxcaohfqS548e/bsncWJaAXYtm1baFhYWN2dO3d+LIQ4z68jPDx8GCHkpGmaOYQQkxDyKyHEYZpmMwCxQojJjDEAyDRN85e5c+eOA9A0MTEx6/vvv5/Xq1eviaZpHsrOzv6kLG1xAaSUXd1ud5XYxRdG07R3nU7n5LFjx65gjAmv1xtWkmtpRaGU/knX9U86duzYDaq75wMAmQFnSU3TahFCvhNCHAPQKC8vb3unTp1+KcuxLenwPpa1+JUSVATYkZCQ8ICU8hrTNI936tSpH4AFCzdGTzwAACAASURBVBcu9H/zzTeTAKBt27Y5lFLzxRdffNowDNaoUaN2DRs2NDZs2HDuvvvu+wpF29znQD3UnISQvFWrVg1o1arV2w8//PDSTz755JBpmo0Lbf8ElIMrdF1/jzE2IikpKUFK2fzxxx//bxV/5hQA7wAYERMT8+XBgwcvZmDhBLALQLuFCxf+lJubW6SXjWEY3U3TdOXm5p7q2rXre5qmjRJCvANLKtzlcm2ilI4wDKNzYW0US2cnAwUZ670Abjx+/Pjh2NhYeL3eKELICM55pBDiq9jY2APV9mmvcDweD23ZsmXrvLy8D62Xrkc1yZNfqVxJyyKRUBLXAIC5c+fOX7hwYYaUMj9VTwgJyG4DQIamaWdM0zwD4JTdbj9z5MiRMwMGDLgKSlLYgQv16tvjfIdECYB079499bXXXvsOQLiU0qnruhRCyHfffbfx7t27Q8eOHZvUtWvXUwBSNE37wuVyJQGo061bt2U//PDDd5s3b/62SZMmNxJCXnO5XCcLf7CSFDqLYC+UF4MMfFa73f7T7t27HzRN067reogl3tWAEBJtqV+2JITUFUKEnzt3Dr169Woa2HfcuHFT16xZs4oQUi5fBWspYVhJs6vKYhjGTYSQ/ZqmHcnLyxvi8XjKXbhXEpZYTkOPx2PCEvMKCQnZ+MMPP7wvhEh1Op2Jfr//ZqhszvtBWh+ljdtlmmYfACmxsbHfVOWYy4AG1REQCXWttIcyuzpa3gNZ2TRCCCFut/spFNQhDAQQD+Trk4zzeDxvG4YxwzTNMACHpJQHS9DoGATglgcffLDB+PHjryKEeE+fPv1enz59NqKgdft7KF2KQD0HAOXbA6C52+2ucJ1ARETE8H79+t2/cePGqShmtvn444+Pff311wft379/I1S2pUIUN8mRUtqC71effvqp/te//jVfJ6Zr165jvF7v+4BajsvMzOyfnZ3d2OFw7PJ4PDTo+AMJIT8X1g1hjI3ds2dP6pgxY+pALXsE/v2bQbnUxnTp0uXxN954I11KuSEuLu68QMpalvEIIdJPnDjxaY2YVJGMgmUkp+v6L4mJib9CZbp+gKo5I1JKkxByTNO0X03T/LXQPSQU6trqAeApqBq83w1XUnChQalktoSKvq+C5dBZAb6GUr9EXFzcvLfffvssIUTnnEdOnDjxGSGEnRAig9pA/bt3737S4XDkmKZ5EkCupml2a8091zTNrYW/nMD5Esrx8fG2+vXr/wnAb4XXUcsZXHwFYACglkqklKF2u/3c+vXrH23WrFldKWWgjTQXapYYTgg5IaU8KqVM1nX9G5fLtRjKfXHzt99++0idOnW6SylrEUL2FzZhKw7O+QSbzfZpsHhSdcAYm+fxeF7mnM92uVwryhsEFYelAjrGEv5agALJ97zmzZvP27hxIwghWenp6R+VVYbcMIyOpmn2BbAnIIF9CZiLAvXFQACaAOCC4sXSCCzVSSltcXFx/5RSBrIK10HpXQBQ2Z+MjIxNvXv3Prl06dL1d9xxR62YmBjy97///b4ZM2bsKO74Vg3GI4SQJoSQ0Mcee0ysX7++S0ZGxmdQbpjn/VtLKQnnfBEAeDye50sZfizUMsO2Il5PgLqf/AiVrSoKn7UtPB7PsNWrV/8GoI6maVFSyvOKoqWU542ztEkOY+x0EYq7enh4+JaMjIy+UFoUIS6Xa9uaNWtSTNNM7datW5e8vLwxUA+jMQjK2nLOi/T0CQsL82VmZsZCud12RDH3S8bYjVLKdqZpriosQGYYRiMhxA0AwoUQ64Puc7Wsz1gmgbPfI/3797cdP378Pc55CICnGGNHAFwnpewBII8QIqyMd7IQ4idCSDTUsjwBgHvvvbf+xo0b/20dLhcq2LhczPMqzZUUXACq+vxGqPShUdrGa9eu1du2bdtc1/WrEFT9HRcXd6+U0gMAtWrVunvlypVLg77sywDMt34WALSIiIiUrVu3Xm+z2boIIUIA2AkhX3o8nmKDG6/XG+Z0Om/yeDwfBL9uGIZLCDFU07QVgSxGOYOLbQB6FX5xzJgxt/7jH/9IlFK2MU0zWtO0UEJIpsPh2Ny2bdv0shzYGpuLEBIqpfy2JF+S4m5oVY1hGB2FEA2EEPs0Tevo8Xg2V8VxGWP35OTkPGctA9WDmim3AQBN0/Z9+eWXHco6W7tMggoAQHR09PMnTpxYVOjls1CZjHIRCC78fv+B7du3L3nppZdCGGMrEaSsCgChoaETcnJyXhVCHLfb7Wfz8vLcAHDdddetWrZs2RNWJq+4czSXUo4ghNQD0FTTNK9pmrKoolfO+ezc3NyPdF2vq2laixKuhXEAAt4ifwPwmNfrjXI6nfUefPDBmz7++OMXAEDX9Zzvv/9+ttPpFJqmRQkhYgghUQCEx+MZDeue0a5du9nr1q371mazncnMzDxTHctzgc/ndruzYDmDQrW717rvvvsGPvnkk18GbeqCUtEFoAoMCSE/dOzY8XDQNg4o8axAcW2+1H5ReL1ee2ho6AjTNMNDQ0P/W7juYu3atXr79u0HE0IaLVq0yLFly5Z/oyBL9kkFP/IVDWNslN1u/z7ImRqAmrjk5eUNBVBXCJGmaVpTIUQbTdOioEweDw0bNmzAwYMH+0JlFnUoKfdW1v9/F1xpwUUkgC1QxZj/AXBPfHy8LTo6OgZAa0JI3ULLJE4p5REABzweT1pQt8MgqLXcA1A1HMGz77EAzkv1E0KO+3y+Wbm5uV+U9cZiGEZfv9//S1HeFIEsBiHkqMvl2lTO4KI7VO1JL1h99NHR0bs/++yzF8LCwo4LIb4ta/q+OKSUWlJSUm8pZWshhOn3+zd36dIl33iNMRYrpbTHxsbuqsx5ygqldG5KSsprHTt2nOF2u1+t7PE45xP8fv83hWonBgH4n/XzegClCiAxxjpIKfsRQvZ6PJ4tlR1XRbG+AzcTQmIopZGLFy+edOLECTM7O/sIgNZQ13q5az4YY5OklFLTtPpSykkA7inmc+ZnAqGWGQLaCVMppX4Au2NjY4t1p/X5fIMIIU5N01qZptlU07RcQsgXQggXgF2xsbG7OOeDTdP8JSDxzBiboWna2mKkwZ8DcAcA2Gy2Hbt3715KCDkD4OTZs2fP3nPPPcvT0tKa9OzZ88NHH310txAiVNO0XzVN8wY9oEcAuK9Zs2ZHVq1a9Z/+/ftvLd9fr3wYhtFJCGHzeDy/QsmlN4Sq/5gIFSjsgcra/grgagRlDKwH/5Rg+X2LlwDMq1WrlnHu3LkeKNmdOTCOcCnlcCllttvt/qioDjFN094UQgTa7N9FQVfRHwbL52VokEFekQSKwXVdP+n3+z8jhHT96KOPOj/00EPPFLH5XVDX7u+CKy24GIaC1rbcXbt2TXY4HNA07SdN0/ZVoYHNrVAP77+ggmllzvlUl8v1VkneGIZhuBISEiYsX768wzfffLMCai20LNihAqLA+nQ/AGVazigvqampzqysrIGaptUXQmQNGTLk5OLFi3vfeeedj1bH+Yoi0JoqhPhR13WzMrbLlNJrNE2LdLvd8UW83R/qYfweShD/opS21jStr5Ty4KUMKqw24lssm/qTAA6fPXv2/apyk+Wc30UI8QshIgFcm5ubu/iaa66hRWz6LyihIglgaocOHa7Vdf0Q5/xRAIIxNkMIEV+SCRzn/Han07klNze3b15eXpbdbm8thNiuadppKeXNJ0+ePHrttdd6oB6wfzcMY7eUcmoxwWZw5uI0pXQOISQEgJRS5miaNtRmsz1QeMZZHJTSuRkZGW9Vp0uvlbUIfJZwAM2hCkwD94+6UPeknSjCYZlzPj47O/uzIswRQznnPYUQh0sK8AqTmJjY1GazDTFNc09cXFzhwGoiCrIrs6Falf9QMMbm5eTkrChrAXxCQkJtXdev0zQt6pVXXklZunTpd1ANFSYKNFFGAfiw2IPUUK00h3JWlLAKyqqZmwAshmpLKytRAL7RNO0srNlTSRBCAj4UAiorUVamQKXyn8JFChLDwsKWApCEEDF58uQHg5T+qh3G2CSv1xtVGVEtS6Z6RkX39/l8rSzRpyEVPUZV4PP5GlhiPs9bMtruKj6FPSIi4r3o6OijAGa8995727Zu3XrHjTfe+CaUoFZhITYNKvMT0LoApXR68AaU0jkJCQktizuh1+u1M8buYIw1p5TOZYz1f/fdd//udrt3XX311d/GxMQ8iQLBrF1AvjR4USJTfYK2PYdCXXGMsRfLc+1a4kkVvm5KwzAMF6X0gqXO8mCNsdh2ds75gooc1+fzuRlj8xo2bPhPqHvvl1D1Fm2hMih/OHw+n9swjL4V2VdKqS1evHgiCq5PE8D9KINNQA3VTxOoG9kFhmCXGA3ANVCRfODCuWCGUQTHA9vPmjXr1aL8GS4jtsMaa7169f5jGMYYzvnUin7RyoPX67Vzzmdxzof7fL7iZNmLxfJ/uTOg/FkefD5fK8uE65IGFYZhXMUY+zul9BVK6bSKSsGXhsvlmgLr35kQYgKQoaGhp1FwXT9dyiG0li1bvg/VpRCoXwLnfFZKSkqT4nYyDCPGMIxb3nrrrZihQ4eus9lsCYFzFvJryZ9YlCAN/jDUg/C8m/batWv1gC9HeTAMozvnvE959ysLVaVCSymdZnn7XIDlv3JzJQ4fUPOUUEtGf0iklIRSOqeSh2kKVcApoTogq+V7XMPvh3UouFgC8uH/K3EPxdhatWrtAbBiyJAhTsMwbimPDPXFJCQkZJamaXlQ674dA69b3hpjLffHNtV1fs754JSUlKsLz4rLAmNsUkkPtqJISEhoeYmCioawZJ0B9bkZYy8yxp4zDKPCLo+l0BHAl7qub7r99tv/AzWjusCjAmUzo+sVtG0egPwHHud8dmEH4WAMw7ipUaNGbxZxTn/QzxMD26empkaWVT7fOn53n89XXjVcACr7Upr3TgWO2b6qgvPU1NRISultxb3POZ8aLL9eTrahwFW1bQWPccXDGBtV3vtIMQyAqp27HH2FarjMOIsgo5zx48e/AJU+LJXC7oyMsTaU0oWXWxaDMTZj586dy1GMGZeUUjMMo6/l7Dpx9+7d9YvarpJjmMcYm1QeAyHGWFfGWP+ybm8FFdMNw7ipQoOsHOEADkNlDQ7u2LHjTc75goo6tZaDNSi4fl8AcO0111zzWoMGDX4BIDVN2wtVE/Q5Sje7ao2CmdkvCLperAzS/BKu7W640MlTQkl8Bx5u5wWwjLEbLGv3UrH8ccocjARjmbRV1jn1PBhj80vfquxQSucUl52Lj4+3VWJ5JwKq2P0PuRQCqOCNc/6HK16t4dKzFCp9ewhAA875cEppnbLsWDi4ANSDmlI64nLJYjRv3rzNhAkTvDNmzLi/LNtba8A3WjfzcVXlJmgYRkfDMIYwxsaWZXtKaR1LeKlUkpKSWnDOb2eMjazcKCuGlJLMmTNnGM5/qFaJ6VIZeCbonA8AWAJAOByOfffdd98/oDoWykMfAPdC6dGch6VXcbthGHUv3A0zUHS24nEAU6HaMC/AkgYvtfaIMTa5osEFoLo6ymNSV8pY2pQn6C3jMRsGOaReAKW0l2EYnYp7v4biYYzNK2IJroYaLgoNtm7dej1jLNYwjEaU0uvLshOldGJx7zHG2nDOF+zZs6de1Q2z/ISHh/+KggKkchUQJiQk1LYCpSmMsWGVLQS1ZvJzgi28i6KsdRZJSUktGGMzDMO4pSwPqKrECiKvoZTeRimdaBlMvQc1838TF6+jKwyqFW4+AIeu65mwHuwTJ04sd41Caaxdu1Z//vnnH4HKhqxDgYNqNIAdUMuL9wN4HcC/oTI6xZKUlNS4tKDQMAwHY2xsZYILALj22mtfgdLZWYpisnhloQrW7it0XErpwtK+OzWcT2WKOGuoocqglC4E8BohJAfAWpRgv2wYRt2SZhpAfhFRebIYg6AKSwPCSZUqfl27dq3DZrPloGAWWeFsis/na1bZQlDDMOpyzmeX9vfgnE9JSkoq7FURfJyYSxFUrF27VjcMoy+ldI71X5lS+heTZs2aUailmYx//etfM6vpNIE6JQnVzloprMChWKt0Sum1CQkJLSsZXITi/IxKhbo8DMOIKevko7xYy6rXFfd+cnJytNfrvQ2qOP5KkyO46FiZtiopuq2hhkoxY8aMOJyf2i52ps8Yi+Wcx5XluJTS1pzz20vJYtwYdN71ALZaP1fYOIsxNm706NErCSEcwKuoIsO7yhSCMsYmMcaKbfXlnHcr7gZrVc7P5JwPv1hBRWpqqtMwjIFWhmKaYRgXLBdcLlBKr9+4cWNHANetWLFiWjHLF1XBK7Cu1RYtWlQ6uJBSapzz24t4KwTAF1aw/0QlgwsNqo5EQsnrt6zIQSilc6rz2islexESEhJiQH2Gsmrr/GGpwiLOGmqoNPawsLBjUF/eoyhBeplSOrQ8hZtWFuPW4ooN69Wr9xcUBBc/4vwgp9yV7l6v1251TEwr775lJVAIas3ip1mFoI2hZoWB9O00qHX3FoFxcc7/YRhG58LHs7JBF9SxMMaaB9pZL0ZQsW3btlBK6dDA5yopi3I5wRjLz1SUtV6lgkRBLX3c+fnnn/fmnC9ITU2tVJbN5/NdzRi7sdDLAxFUx/Hdd99Nq8w5oOpI/vJ///d/D5bU+VIcSUlJjau7WNgwjE6WOmRRdMX594UG1TmWK5maIs4aLjtatmzZaPr06cugHpLFUtFZlM/na8UYmx/oyDAMozuldM6bb745BMAXUCZv02DpaNjtdl6R9D9jbFxycnK7i9U5kZaWFvLXv/51tq7rOVDjXg3gZhTcCPONqDjng5OSkh4I3t9KYd4VXGfh8/maXaygwuv1hjHGbrDqS2b4fL4r6sZNKb0+MTExvxukmoOL89i2bVso53y25VZbYSil01NSUiKCXmqKgm6uhMrWXASwanoWlfeasrIW1V7zUEL2Ihzq/iCh6ltqlkYu5EYAh0JDQ/fXrVu3utq/a6ihYtx888132mw2ClWgF1HUNkXNsMuKlcW4j1L6POe8WzGbNQBwA4BaKSkpTSilC0vY9jyCshYTL0IrJKB6v5+D8o2RUMHFmYkTJ74d+F3TtLRg8SjO+QvBolpWC2kjIF/JchKl9LYqvpl3g1oemg2oTIlhGGMopXMYY+NSU1PLbRJ2uRCUtehDCIlv2rTpp7hQkbO6x9Cfcz6lov9mhmE4ilgjbwFgZExMTB1K6Z8qP0qFz+drUJK2RGEYYw0558Or6vwl8d13393Ys2fP2Si6wyYMQGeUvwvoj8LnKJjQPHWJx1JDDRcQWNeUAOYVtUFFggtrbXkw5/x2Sml7S0Hy7rKuCxqG0Zcx9n+l6VAwxsZSSutU55JIEA2gXBwlVKdEfrfCqFGjHnS73TttNlseANm5c+fEgBphUlKSm3P+JJCfvbnWCiomV0NQAWuWGlhzl3PmzLmbMXZzdallXkwKZS12oeDarVIthrJg/RsuqogaK6BqboqSBjcMoy6ldGjlR3jeMQdSSj1l2ZYxNvMidmq8g4IOr0rJi//RCAsLewEF13+VZLr+aFw0b4g/KD+jQMny58oezOv12p1O53DGWH0p5Ya4uLjPA+9JKZ9ljI2hlNpjY2PfKek4LpfrWynlNsMwhlFKIz744IO1Dz/88A1QhmifAhBer9cupQyz2Wwhfr//UGXHXgIEqqNmDJBv0mQPCQk5kZ2dHQoAGRkZ/W6++ebjnHMbAPh8Pg+AEenp6VNOnz69edKkScMATF+wYMFnL7zwwncAolwu12pCiCh8Mq/XGxUaGhplmmaUrutRQogoKWWUNQ4QQgiKSBNLKYV17iwEzfbS09MhpYyKiopqhSAbbKhCv34AvoIKRi5nrgNw54wZM7K9Xm+gLfpk0PtVZQhYZuLi4o4CWGoYxi2U0mtiY2M/Ls/+brf7B8bYfK/XuzvYXMo0zdoAKuUaXBiXy/UVY2xRWlpaaqtWrbKL2y45OTk6Ly/vRFHXZTURUH/UoIwXt1+k817RSCm1Xbt2/dijR4/RpmmehHLirqGc1AQX1cskAFMmTZrU7K677vq2a9dyK70uBzBJ07RPvV7vepvNZtM07WOXy3Wy8IaW++p7CQkJLTnnd9lstrUluT5aN7j1ycnJ0Z999tlzAAJV9g8DeMTpdI7UNO0T0zSHnjhxokRb4UrSDCqwAIIe6kKIWoQQIaXUvv322z7jx49fGRYWlpmZmRnWo0ePdCllZ0JI1M6dO90///xzfQDYsmXLaCnlZwBqc84nUkrPu4kTxRnTNM9omnYmNzf3kK7rhsfjOV2Se20RnAawoG7dusYDDzxg5uTkfOhwODoEslB79+7NHT169DIoJ8vDAFpBdRZcrrwDoInX6wWUtsbnAKYOGDDg7QMHDnz2008/vXepBuZyuT6x6ovulFK+FRsbW+bAICQkZDWUHfjbQS/XIYScrupx5uTkrCCETALwWnHb+P3+ESdOnHirqs9dAk8TQp6Lioo6PmjQoC/ff//9i3jqKxfO+dxatWqtNE3zogfVNdRQLqzOhiL7pEtYFmmMoIrumJiY4iq/L8AqNBvLOZ8ApbHRH+oBVxz5LYGhoaGfGIYxzefzLbNks4tczqlCHFAzY4mgpRBCSP7PAOQNN9xwqEOHDulz5sxJo5SmcM7TOee5H330kalpmoBqZzxGKV1RkQr+ipKWlhZCKV1YSF+hQ/DYUT5X3UtBsClYf0AVVzLG7mSMXRbeB/Hx8TbO+XjGWG+o1tJeKKaOKRhK6fXBOiKU0uur6/owDKPTyJEj7wawCEoMLB+v1xvFGBtVHectCc751JSUlFac81cqYtr3R4NzPrhGwbRqqFFpuwh07do1Twix1+fznafLn5KSEiGlTC9qn+HDh5+x2WxHrF+PHzx4cF9Zz0cIkR6PZ61pmt83atToEygXyT1Qrq1FsQxACoD9WVlZTwohMgE8TAhxAgjnnE+x/EJu45xPtaTNWxexdkwAzAHwJIDmxY3P8mhobRhG39WrV4+DmuEDQKjT6cwJCQnJHT58OK1du/ZRAKhfv/6BL774omlycnLEG2+80cI0zcZSSr9pmnlt2rQx3333XfnYY4/lrV69OgdA/7Nnz8b369dvW4MGDTahmk2WWrVqle3xeF4khAw2DKMj1HfqZwBvQKXfl+IyXxZZsmTJu506ddoJVRe0BQCioqJ6EUK2SCmr3B+mIgwYMMDvdrvX5OXlSYfDsRuqa4iiFP+e2NjY/xFCbgzq6KgTFhZW5ZkLAHC5XFEffvjhfwA8D7XUl4/D4Riladqn1XHe4khJSWlimuah9u3bpxFCmMvlqhGCKgGfz3e1EEJzuVyJl3osvwdqlkUuErGxsV9bAj97Aq+ZptkcQHA9QySAjwHESim/Gjp0aL9PPvmkM4DvoOSQy0VcXFwaCoyG7E6ns09OTs6uIjb1Qc22YdVatIuLizvKOR9y/PjxZwcMGOAP3nj37t31dV1vzxjrRSkN1Clg1qxZDXfs2PE0ABBCejLGXpZS2qWUghCiEUKIlFJkZ2dnapr2M4B9EydO3AngWagAQ+Tk5DgBYOPGjbF+vz+UEII77rgj76GHHoKUEqGhoX5d149JKe2appmvv/56+L59+8ikSZPO1K5dO4sQ8s6yZctGbN26tRcAxMTEfLxx48Z7k5KSNo4dO9Ys79+wLFhLKm+99NJLMwghn0spm0D5c1SX+FSVwTmPM03Tf/PNN7/scrlWBl43TTPG4/HEM8Yuqza8Ll26pMG6VqHqWtoBSChpH03T1nLORwL4gBDiLKkuopIEZwdbB35ITU2NzM7OznS5XLnVdN4iycvL6xEWFval9etyIcT9hmHc5HK5Nl3McVwJpKSkROTl5fXxeDyvX+qx/F6oCS4uIoSQzT6fb1BcXNyXACCEaEYI8QVtMgRWWvrTTz8dBGCf9V9leBHAU7qu//LBBx9MiomJaSaEWBMXF7e7qI2dTufIpUuXbgXwxOzZszts3779fQAZwdtERESkZ2VlHSOEREopa2uaZjdNs310dHT+w1RKGUUI+cDtdpd2Q62Pgtlnft2DaZoh1nGwcuXKJh06dPitadOm2QcOHGjUrVu3mHnz5p1o2bIlnnnmmRAASExMjNiwYcMnhJChPp/vSwBxAGCz2ezTpk275+zZs/euWLHi4y5durzauXPnapm5zp8/3w5VQwKoLMCT1XGeqsLyeOmmadoBIcR5AaSmaZIQIhljl1sq/TeoouObobIXRmk7uFyuI5xzR0pKSpO8vLzSNq8M6wDcChXw/C3wYlZW1qiIiIjqrFsqEkJIRNu2bdMBwOVy5XLOvxBCdGWM/eTxeJIv9nguV6SUxDCMKcePH3/lUo/l90TNsshFxOVy7dM0rV2QCmEDt9t9NPD+wIEDjwUqyUNDQ/dUkSPqMwDCTdNsGRMT8zSAFjabbQJj7GHDMMYEm4gFOkSWL19+D4D7tm/fPiI6Ovqfq1atun3Xrl2TKKUTKaUTc3NzhwNoRgipB6CWaZoQQjy/cePGRQBeBrAZwPzSZmrx8fG2v/3tb4NQ4H2i2Wy2c4D6wteuXfus0+nMPXDgQERSUlJD0zTt+/fvd+bk5NjfeOONerm5uZmBY+Xm5vpTU1MPzpkzJyY7O3tkgwYNVnft2nV7vXr1Dnu93mv37NnT55FHHhmh63p/zvnshISEllXwty3MdihLcEAtRV3W1KtXb4oQIgFqSSwfwzAcUsrqmt1XFglgOFRQ2heqbblUXC7Xu/Hx8XP+/Oc/34hyGu+Vgwyo4KIjgPcBwOfz1dI0LacasyVlxu12fwf197vhStZiqWo459Nzc3PXFs7Q1lA5ajIXFxm73b4qJydnFID/WksFEgAope01TWvvdrs7A3BlZWWtl1LWoZRO1zRtr3VjqCg5AODxeNYyxo4KIeZKKd/2FkB6IgAAIABJREFU+/2d6tevP3fdunWOCRMmjO7du3eLJk2aLIYyZwIAnDhxYtikSZMWAfBu2rRpQbNmzTqYpmknhKTXqlXr3SJumiVqIvh8vga6rvcTQkQDyB07duyXa9aseWn//v2zhRA2v9+ff+7Tp0+fV7BXt27dA5qmNRZCkPr162cNHTr0+7feeivi4MGDEd27d9+/bNmyodu3b28AAPXr1z+4YsWK6Xfeeee/A/ufOnXqGCGksWmaCbquN6aU3iil3B/IJFUBFKrGIwbA91V0zGrB5/NdTQhJA9DJ7Xa/zjkPpPEHXXvttQsbNWq0FQAyMjIut8xFgOPl2ZgQ4iSELJBS1gMwEmpJpdq7ATRNG5mdnf1BCZuEQk0AWgL4O5RiZqWxJgpFdSi9q+t6/5ycnBlSyufK2SX1e0IDEEYp7SKESOzSpcuxSz2gGmqoNIyxsYZhNOKcTwEAn8/XxTCMMcVtbxiGy/KnKJNQT2kkJSW1ZYytsooqx/Tv3/+/sLoFQkJCkgA0v+qqq7ZBKYvmdz1cd9115VYWXLt2rU4pvcYqCJ3DGBuWmprq9Pl8zSz1zIUffvhhdyihHwlA2my2rIiIiO+Dzp2raZrZqlUr6nQ6swFIXdfNRx999EsUdJeI0aNHJwR+dzqdWbqu72jSpMlzgdeaNGmyHACsLpg7kpKSWiQlJbW1ClZHe71ee+X+slcEEY0aNarPOZ9tSaVPsQpsb4PKIJ2D+nsJqBZVAWV+d6WLhDVA0LX87LPPPsEYm2TJtI+jlPaqau8Xq5OoNDXQuUHjogDuhlLUrRSGYfQoXEAegHM+PjEx0fUH9sxoCLXcLK666qqL2Rr8h6JGU/4SIKXUhg8f/tqePXvq33rrrR9OnTr1F7fb/Xlp+1FKexFCuuu6/lHHjh1/AhALVej5U3nHkJSU1Njv9z9CCFk+evRo1969e98AgIYNG341ZsyYw7t27Qr5/vvvb4FqZdWsc3igPBpKJDk5Odo0zd5CiBBN08IIIT+4XK6kbdu2hUZGRl4vhGhMCPklOTl509ixY82UlJSImTNnvvrDDz8My83NDQcAu91+1maz5WZnZ2tSyjqBY6uaUFX5P3jwYL5582aXlJLY7facxo0bn/7555+PREZGNj1z5kzAOZbDSoM3adLk+88///whj8fzBQD4fL5BhJCrHA7HOxkZGZrT6RwMIMJms33UoUOH32OP+3UANgBwRkdHPzBr1qxfJ0yYsBPAOV3X23o8nh1Q4lkh1vYSBfeIAbjCxYRatGix7Ny5c1P79u179tFHH/0FABdC7AoJCXk/JyfHqet6E9M0o2GJpGmaFiqECCGEmFLKnwAcSElJ+amshcGU0j85HI717du3P+87Yxn1XQOg4/jx4ztzzu+03kqHKuqWAPqgEqJXTz311H2LFy++ASprOR9B9wgppcYYm3X06NHkmTNnTv/pp59sAJ4A8Eepw/gTgNXWzydRqG24hqqhJri4NAwE8CUAEEL2SynLbL9tFR/dPHLkyCGpqanzAfgBDIOqcwhmBoDHoAreRkPduM6DUlqHEPI4IURfvnx5Xnx8/JFTp051PnToUOF+/I8ATEahws5gDMNwmabZTdM0IaU8GxIS8mXbtm3TLanynoSQq4QQ/uCbrWEY4aZp3kII0cPDw99r1apVHNQNlRBCsqSUodbf6IyUMsput4u8vDwNAKKjo38+ceJEcwDQNE1EREQcP3PmTAMAaNSo0d4jR460CxpenvX5xxuGcUII0dntdq8khETfc889WVOmTBlKCNGSk5PXuVwuXUo5WErZTNO0r10uV7Dq5pXOMwDusn72Qy2LvhkREVE3JCTkxLFjxxZCXZtTYNXNQPlPnILq0Pjt4g+56rCktxcQQiIIIV4hRBghZAeAhpqm7RdC/Hz8+PH1hdfevV6vPTw8vH5ubm5jqIJdRyDwAABCiF9KeRBBwYfX67VPmzZtPee8D4ANq1atmhMbG9sHQHNd1yNN0zyuaVp2z549n8nIyAjobpwCEAikJwCocBFomzZttu/fv7+n9esyAAuC3/f5fF3mzJkzYceOHfdYL20FcG1Fz3eFcRVUh1E4VHZ27KUdzu+TmuDiImAYhsM0TY8QIk7TtCEfffRR44ceeqgPABBCfuWcT+7YsWN8Odc/t0DNRNGoUaOXN2/e/FxsbGxwYd4hFIg3TQVwQfrPEtu6W9f1flJK6na7nwTgRYFkOaCWK8YCOG/d2Ov1hjkcjv4AmmmaJoQQCR6PZ3ehGpLOABxCiK2xsbEHgv4e4aZpjiCEaCNGjEg8cOBAbwCbGWMdX3311V4vvPDCEQALhRCBtK4EQHRdzw50kYSFhWVkZmaGW39DUa9evQPHjh27yvr9jCXpHTzzHgwrAEtJSWlyyy23PLN3796xAA4C6JmcnJybl5c3mhCSFpTZ6KLrulsIcczj8Wz6HaxPDwHwCc6vtcpCwZLHYgD/CnqvFpSEeSKAI7iC8fl8DTRNG0AIGSSE6Krreo5pmu/put7I0nXZRgjpJKXMIYScI4RscblcZerU8nq9drvd3kzX9ZZWVk4/dOhQzyFDhgRUb/Haa6/F9+jR45SU8gSAk4SQ4wCOeDye51DQsvxvqFn1IailkXK3nwfo06fPt999910f69cHATxeeJuRI0e+/eGHHwZ8M7ZAZaf+KDSECjK+h7rH1VDF1BR0VowoqGxAKlTEn4/14LwaSkTKDqCuEOIGKWUdXdeJaZpb+vfvfzuAhQA6Syn/7ff79zPG/sQYi9Q0bYPL5TpYhjG8BZU6PXvmzJk3dF3XrTVUhxBCHzBgwG8nTpxoCkDMnz8/Yv78+RP9fv/m4MIlzvl0u93+ppQy6+zZs00iIyMPpqenB5YTDgCYBbU2+TMAUEpbE0I6EULCpZQ5UsrNwXLMCQkJtRljg6WUUVLK/S6Xa03wA9nn89XSdX24aZohERERa1q1ahUKpQ4ZpWnaCcZY3+eff36DYRiNNm7cGHPvvfc2DgkJEZmZmVMAQEqp22y2o36/v0FmZma40+lMz8nJiZRSaoGshbVdFHDeEspJqPVsAIAliz7Q+jUmJCTkpg4dOqwEsJxS2p4xdqemaf9zuVy7AeymlLbmnE/nnPvT09Pf6927d1YZ/n0uRz6DKhxsD+BdqHTwIRQIjRXuvDgH4HehiUAIGSaESAaQqut6H9M01xNCWlqv/UYImUoIWfTjjz/2b9y4cb1nnnlmbGRk5B1Op/N069ath+/YsSO1uGNb3iVp1n/wer32evXq2aGWIloAONW0adPvALTTNI1Y12fUoUOHYgghUVJKAJBhYWGhmZmZjaHUee9BUDtrWUlNTY3Mzc2d/dtvv701cODA96D+TVcUte2tt9561+HDh0O///77UwCWlPdcVzi/4QrPxF3u1GQuKsZnAG4CIIcMGTLtqaeekoDK5Uspz0opbbqu95BSRlgP2gQAe1JSUtaXtF5rrcVeJ4RoSwg5VlSKthCRUGuqF1SF//vf/2735ZdfLujSpcvJ8ePHp1nBgA4gXNO0dCllHbvd/nFubm6klLJ2586duwohlgYdYmZaWto7Z8+e7atpWhMhhAbg0IkTJ7YEj2nt2rV6x44drwXQnBCSmZWVtbFr166ZwWOxgopbhBDOjIyMd4Mezh1wvtnXF02aNNn9+eefp7rd7td37dpl0zRt3ty5c0d7vd7IkSNH7srMzBSbNm2aAwDh4eFHAillm82WFdRpkgEgPCYmJr5p06Yvbd++PR4XdhesAjARQPqKFSuWdevWbU8gAxMbG8sopdedPHmyy6RJkzIOHTq0E4DPEtq5HkAd0zQ/79Sp02WtvFkKYQBqQ9XU3AvgKNQD5nL2QKkQhmE4hBBjpZQ5uq6HCyHm+f3+Pzscjr+//fbbK2vVqhUzbNiwNU899dQb77777rVSymOaph0WQnQCgB49eqxbsWLFegD7y9K1xTkfTQiJd7lcNgCDoETwDqampjqzsrIGAmiuaVr6jBkzduzcuXMfVE2T1HV9vWmat1iHeQPA9PJ8Ts55t7/85S9/3rJlS2dN0z49d+7cPaXtQykdYZqmr3Pnzj+W51w11FAaNcFFxTgAS43PZrP9x+/3/59hGCOklMMASCFEGpR2QG0ppTcuLo6X9wRJSUmNTdO8XkoZJqXcbKltFkddAH+GSnH/B6ogLR1BolQpKSkRubm5PQC0JoR0J4SECSFSz507V6tXr16xUOJddgBwOp2577///pMtW7ZM8fv93xT1EDUMwyWlvEYIoeu6/pnL5bogbR4IKgA40tPT1wbP+KWUJDEx8U8DBw686dSpUwMA1EOB3sV/ADRcvHjxoSlTpiRpmva1aZr9/H7/p9nZ2bfdfvvtAw4dOuScOXPmhk2bNo1KTEw8O3LkyDNbtmwZfOrUqSSo9WW7lHIf53x6Map7GlQ9wU9JSUm1hBAjhRBvAmitaZobADp16jTJ7/dfTwgR9evX73v06NHt1tg1zvn1UsqWuq4nulyunSX829RwieGcj9Z1fUtOTs5Qm83ml1LO0DRt9RNPPNFr1apVswGQfv36vbp169aeUEXLgMroBATRJgBYwxjrQAjpLqXU8/Ly1hfVvrh27Vq9ffv2k2NjY98oaUx79uypl5OTM3jx4sX9N23aNAXqO3sYwF6oDp151s+lEh8fb6tfv/7ExMTEw5MmTdqEgvt6HIIydsVBKZ0TGxu7vCznqqGGslITXFSMJVDr03A4HJkvv/zy5127dv2vzWb71jTNQVAFXx8V5V5aXqSUWlJSUn/TNK8CcDQ3N3dDsIW0xatQSxjQNM0nhIgLDQ3d+/rrr89yuVxOAHj00Uf7HTlypNW9994rWrRocVpKeYYQEvvVV1+1uvPOO+MCp+vatavvxx9/HBcfH+9evnx5+NKlSwG1Tn/aCngGAQiXUv4QGxtblJR4oB7jVk3TbNnZ2esKZzKsDMA0u93+vrVEQQghRy0Ngnx0XT/VsWPHjUlJSXWmTp269e6772aapjHTNAcCOJebm7vB6XSO8ng8qxhjkwDA4/GsCj4G53y03W7/+uqrry5RFyFwgyaEJAcFC78AaAIAI0aMeOXxxx/f4Ha71wfv5/P5uhBCugI4WlpmqoZLA6V0emxs7LqePXu+c/LkydPPPfec3+/3540aNQp5eXmzAaBevXrfZmZm1s3MzOwItQYf0Pf4EYVM/6xMSH9CSCMp5VkrwygBjBw7dmzX+fPnPztgwICy1qh0xPkqo81QDi8aSml7Qshgu93+evv27XOgApS6UBmoNmU5VlJSUlvTNFsGao1qqKGG6mc4VHpyJKBaLBljNy9atOhJnO96mfuPf/xjIWPsxiLMvKoMxlhDxtg4xthkxliboLe+LjQeCUDOmjXr74yx/7vvvvtWBl5r06bNIUrpcsMwvuCc//LZZ59xQkgGlDZEcuAhDaADISQPKl27k1I63TCMm4IVPQuTmprqZIyN4pxP8Xq9YUVtE6hpCNaUYIzdMHfu3HkAXgLwj8BY7XZ7sDPqLyNHjnwDwG/h4eG71q1btwDAn4YPH/4yAOc777xz+3XXXfcmgBuDz7d27Vq9BOfZosZ3LaV0jvXv+BBUBf9WALUZY80ZY/N9Pl/PwvsZhtGIMTaZcz4rISGhdlnPV0P1whjrbenD5H9n7XZ7BpSeylaoLIGEKloNXGvHg34usVvIMIwYSun0Fi1avBi0T6nLEUFoAP4LVd9SUvagLlTtxBoArYOcjwtrz7ihajX6FD5ASXDOZ/l8vhJN4GqooYaqIRqqGEoCyHv99ddnUUqHbtu2LbCuPzfofQngotopU0qvoZTOuf/++/+Gghvk6Vq1av0KQDocjjNr1qyZTymdOGTIkGWBcUZHR5+llG7gnG80DGMF53zwAw88MGLGjBmvrFixohdj7FlK6cRbbrnlwcA+Npstu6SgyTAMB2NsFKV0Tkmywpab6tBC+95CKc1vgfP5fD07der0n/bt2//gdDrvDowhJCTkkM1mOxz4vXXr1sEiW0/Vr19/T9Dv/Qqdd0JKSkqp9twBGGMN3W7329axzqGQm6wlwnVnUlJSi8L7WoJUt3LOZxf1fg0XF8bYTOvHfDG1oP8C3xup6/q5oNcZlFrmOyjeSfg87Hb7u0H7F1lAWUkeCxw/NDT0E8bYHYmJiU1L26msWNfttKo6Xg011FAIr9drNwxj4OrVq2dCaQFIqDRpUV/kP0N1InyBUqyfq4smTZqMR8FNLaByee6hhx6aSSmdxjl/dMuWLU+1b9/eV79+/SMPPfTQV5zzRzjnL/h8vr8wxv7FOX+FUjqbUnoNY+yvnPPF27dv31CrVq0tAH6Ljo6+nzF2R+FshGEYDs75aM757JKCivj4eBuldJplSZ4PY2wc57xb4PehQ4eOaNOmzZYePXq8smPHjlaGYdS96aabXgawdMmSJQ8D2Bj4nA0bNowP+tzrwsLCgmebk4LPk5aWFsI5n1DOP22+2ieAvxZ+05o5DqOUzi0qcLH0SAZSSuf4fL5B5Tx3VRML4BuoQuTml3gsF42UlJQmjLEbAaBdu3ZN27RpEw9lhX4cgGzQoEEKVMeAdLvd8WFhYfOhgpAilS2LgjEWSymdO2HChAmapqU0a9Ys/emnn36iqj+Lw+F4CNb12K5du63VkSGdP3/+PKfT+RmApSgQUquhhgpRU3MBwPj/9u48Pooi/R/4p7pnJgcJJIT7kEMjJHMk4RJBlFMFlMMDQU4VBI8VXH/K6vfrteu1rPsVrwVRXPFCoyIoAioa8YiyhiRd1Z2DsCIiKpdcAXJMd/3+qB4yxIQcZHLW+/XiRTLd011zZKa66qnnMYy2nPOhEAlsiB3p/ROA6wBcC5Hj4c2GbOMZRAL4GmLJ26mqpB6PJ+fxxx/f1qtXr18IIb0sy+pICGGc8w/8fv+PLpdrFOfcTwhZwzkfwTkv4JwPBjDa4XDs9Pv9G3w+35bA8exI93mqqr4L4HfO+ZUAYouKit4ZMGBARevxLwRgaZq2hxAyiXP+76SkpOOBjbquzyKEbHO73QYgAtz69+9vFBYWBpaUjmWMxefm5v4rISHBbVlWZE5ODl+6dOmlo0aN8r/99tsf7t279/XCwsISAAuuv/762WvWrBlfVFSUARFlf9pyUUrpDdHR0atrUEDqXojcAMcgkgtpFe1kGIYLwATLstTc3Nx3K4q5yM7OPt/hcAy2V9OsqyBmJtTeQ9nI2lMQneJmjzF2o8fjeYUQYuXk5MRzzmPteJo2zz333IpBgwZtHjRo0JsAOqanp//aunXraz0eT7XSQRuGkWia5kWc89ykpKSvABFrFB4enm5Z1o+KonzidruX1UFulBGtW7fuuGbNmvhHH310wI4dOw7s3r17MWpYW6WavgcwwP55Ps48TSNJki0GIlHMXgA3U0p7U0qvt2teTGpEVQIdEKMkZ+z4ZWRkOCmlvYcNG/ZP2Fc0kZGRh1RVDYy28OTk5O2MseWGYUwIpMwGAErpJMMw7k1LS3MwxpZkZ2cvyM7OvoIxdgtj7CXG2JCKzllQUBCm6/pzlNInMjIy2pyheX8KtGHo0KFPBW+wr/hvCY4ZSU9Pj2CMLYRYhcMB8GuuueZ/c3Jy4u323gycGuImmqbNBgBd12cHjsEYmxEUL1JR21ufqX5LJboAqNZ0Sm5ubpyu67M1TRtW2T6ZmZnt7Tomcw3DaFvZfmdj586d4ZqmDbbjcmYyxma2adPmJZSNwtwVivM2NvZ79VTtDMMwLs/Pzz8VMEwp/Yuu67MD7zEAuPXWWxe6XK71AB5DWUDnaSilfe06P5dUtJ0x9hpjLF3X9amU0tvPcoThepTFSr1nd2RD6dRoYNu2bW8M8bmkZq45j1xEQVyldQPwv06n01taWvpvAIiIiDickZFxZWJiYnqgxHkjEQEgHUAyxBD2OEppLMTy0fMIIWGWZZ0ERN0DQsgPF110ke/QoUPP2/c/DJFx0gcAXbp02frxxx/fTghJtCzrpMvl2tS3b99juq6/wjnfQAhxW5a1nRCyX1GU1pzzSMuy4qKjo5cFX+FnZGQ4XS7XeAAdTNNMVRRl2JgxY6bt27fvIoiA1wfKPY43ID4YAZHsazYggisTEhJudzqd79irRAJ5Mv6kKMr7n3zyyT/uuusus02bNgWff/65npycnKppWi9CyLkul2vr008/vXDZsmWLFEVRLcu6ijHW1V4dsjAsLGxRfHz8DrtMfYWvqa7rc3Nycv4dyhUddmbSywkhn7rd7i4QZcHfQlDdBjtj6yhCSGcA33q93urUdJgIkWHzHdip41NTU1W3292Xc+61LKu1oihFnPMiRVGMxMTE3KD3diTEaqLjAFZBTPc1a4yxKcXFxR8HRtUYYzO8Xu92AFcA2KRp2nmPPPLIwE8++WTYkSNH1kMEQeZAJBgDgKkQicYAAFlZWT2dTucllmXt8/l8G89w3mUAXJzzUkLIowCuys3Nfa4m77mcnJwelmUNGD9+/Lhdu3YFvuQ/h8iZEUo9zj333CUHDhzYlpaWdpQQsknmv5Bqqzln6LwJ9vJMp9MZd88996x99NFHLQBKSUlJBue8t2EYvXVdP845/9rr9dZltrbOAO6DyDXxGMSH+h/s3Lkz/MiRIz5VVb0A+n744YeO++67L9nePPaNN96Yrqrqr36/f3tlyz4h0te2A3AzxIhHTFhYGC0uLs755Zdf/tfr9e4BME9V1T5jxowZ/OKLL47knO8B8C3nvAchpDWALy3LuuKHH374fOXKlfO2bt06BsCHGRkZzrCwsCsIIe1KS0vfSUlJOWyf80eItf+A+FB+DiIJU8BKiCRjFsSQ/HOKopTExsbu8/v9y71eb+A4SEhIuJkQst7v988eNWrUW6Zprvnyyy9vc7vd7wAAIWSM1+t9Udf16S+99FJfAHGWZSEmJuZOzvnjEB2yfxYXF6u6rvcEMBiig/YHkyZNKtq9e7cBMcVxY2Wvy9mwU7DnPfDAA7Pt50EFMC8tLS0xLi6OAIBpmgDwHecciqIM0jTtMkLIHlVVPzNNk9sZUE+tplmyZEnM66+//p59rFkfffTRTT169HBaluUHkLN///53q0i2dgLAM3X9WBu5qODpup9++ikcolMWBeD/UUrvWLNmzc2mabog8kFsAhA8ZXYSEF/0fr9/pKqqv7rd7lXVOTEhZItlWaMBjDNNc1VCQsLtaWlpz1f0GuXl5UWbpplkmmbnEydORK1atar/6tWr8yZPnrzm3nvv7X/LLbfonPMYAEtq/UxU3661a9e+ZFmWlpSUtM8O0u7s8/lqXUBNarmac+fi1BdYaWnpwUcfffQxiA+QBNM013k8nkLgVE6GIZTSiQCgKMrB0tLSz4K+SAM6QyxLrM6c/ZOwr9wTEhLap6amHgYQTQhROOcWRLKoksLCwiKHw/GLaZq5iqKsv++++45DLH89F8C306dPfxNBibAq4YdYvpkIESOC4uLiZQCW29tvBHCzaZrYtGnTJZs2bUL37t2/2bhx41MASkzTXKSq6jV///vfv3zttdf+D8A4AHddeeWVS8PDww3Lst7zer2Hyp3zN9hZMBVF2W9ZVvmYi88BtLfb/hKAGy3LwtixY//h9/sPQ0xRWYyxiZZlfQVgLCHkkMfjeZ8xNllRlPWEEJ6bmxtnWdZvhBBOKXWUlpZ+DZFVE/379/9dVdVt9uP/DUBXRVH8lmX9UtkTtWPHjgcgUl33gagzEoqofgDAX//61wLYQ+uEkLjWrVt/BkAjhBwFcIhz/otpmr8AKCaE6ISQzpZl3QXA8vv936mqeipTZufOncMhliwCgHP8+PGbIN6LUgUopZdYlnUqkyZjrPvOnTsvQFnQdcS2bdv2uFyukpMnT7ogOsGHIDrMt48cOTLy2Wef3WFZ1o2c8wNer/eVmsROKIryaUlJyYXffvtt7759+/o6deq0sn379jfHxcXlde/effBjjz22q1u3biWKokSUlJSYnPP0pKSkryFG+WYCsEzT7H3VVVct5pzfV2dPTPUch/08eb3eNYyx4bquX1k+v4skVaU5dy5eg7hK6Y6yq7ZM+98pdoKnzYHf8/Pz23HOR+i6Hg0AlmX9mJycPM6yrECK5MEAdqanp0dERUV1hpiyaMs554qiRADAuHHjev30kygPUlJSAqfTubRPnz6/VvMDygvxBZiLqjsWwW6DGNY9APGFHvCHRF6WZV1qWdaykpKSl8PCwp7atWuX9tprr30G4FR9ji+++MLyeDwvlb+vbT/E83DJm2++OcTr9Z5bQfXQwJD8qak3v98fWLK7GoB199133/fkk0+OtixLJ4Ts0zSti6qqsMvJw+/3Tzpw4MAq+8sivaCg4Lf169ePvPPOO596+umnz3e73YFaGJdMmTLlld69e3/2xBNP/HiG52g3yupoVKd+y9n4FsCSNm3aTJw7d+4Jh8NhKYqSyDk/oCjKDgBbMzMzWz344IMPFxUVtZk/f/47U6ZMyQNgORyOJELICb/f/05QdtSnIaqVZkGMRNTEIPv+v0OM5v1aNw+xcSKEnAdgt67r0yzLigawp0ePHl9DZM29BsD78+bN+ywhIWHtbbfd9tvMmTPJv//9bwMAGGN/h6gyfIvH47mjGn+zsRAFv74HsNuyLJ6bm7vvzjvvHLFnz54+cXFxNz/++OMPZGVlxR88ePC5gwcPkquuuurzbdu23WVZVjdCSCwhZKiu68O8Xu9Au86IsmTJkp8fe+yx+g78haIoJyzLOrXyzev1fqFpmocxdovH41neDIr3SfWkOcdc1AlK6YVJSUlvc867A4DX6/3b6tWrdwA4RAjZ7XA4fq4g+2MPiNGEIxDTBrWublgHCEQSqEAVVjM2NvbnwsJC9vLLL3/fu3fvfwwZMuQ8nJ4mmEHM8Z8p5TgAwDBSH0j4AAAgAElEQVSMFMuyrvf7/Y9WMNoDAJ0gcgYUA3gIYkTlOgDweDzfv//++6Mfeuihx954443wRYsWHVm6dOldgEgdrijKeK/Xm8oYu8nr9a7UdX0251z1er0v67o+2+PxrAJEXgpCyCLOeY7X633tDM1tD2Dm3Llze7744ouL6iPehjE2gxASwTkfqygKtSzrPAC7OOe97rnnnk6bNm0KVKI8ACC9T58+96SmpjoVRYnnnA8mhLS2LOunpKSkW2AvI01KSrr3tdde+29129CvX7+b/X7/aPvXRyGqZDYrnHOFMZYC4BJFUboTQt5LTEz8JvBlOG7cuBc3bNgwC2KUaxSAHbquLyaEfGJZlhsiEd1wQshht9u9Xtf1CxVF8VeR2p2gLE7j6MSJEx87cuTIn7p06bLzzTffvOjUToRYhBBuWZYKABEREb9lZGSMBvBrcBbfuLi4O44cOfIPv9//A0RV1J/r9EmqBntVTVu32701+Pb8/Px2JSUl044dO/ZSEy7cJ9Uj2bkIYteM8EDMwcKextiVlJQ01bKs+RAxFBdAXAE1Ge3bty8IlCN3Op1GaWmp2960TNO0uy3LWj558mT3rl27vJzzVyHiVaqNMfYnQogjJyfnmWoErs0B8DIhBNHR0bOWLFnSfcGCBY9ADPufhIgfOcEYm7l48eJPi4qKEpcuXRp28ODBT9u1azcLYtj2C0JIssfj+RgAKKVjCSE9ARRW0bkAIFZthIWFXeh2uz+oyeOsDXsFy/GIiIiMkydPPq8oyhLO+TzTNHc++OCDPdauXTun3F0+ggg6PMUwjEEej+cLznkEAMTExDy1devWFUVFRcUA4HA4jhw5cuTkGT70V0JMjwHALSibMmtKVJQrjb1z587wEydODOGcd7MsKxzAl4qiDHO73S8RQnh6enpEdHR0TwDeoUOHPn706NHe9l0/AHCdpmlTOOeRTqfTsiwrvri4+D6XyxUFIFZV1TaWZc2B6HS0AgB7SvOUn3/+2T9u3LjVsD9HXS7XiZKSkkgAcDqdRaWlpeF2MTwFAFRV3Wcv/15smmYgTX1PiCDddm3btrV+//337hBLQG+v02evmvLy8rr4/f4+Ho8nrfy2wHJ0Qsg7dRyjJjVDzXlapLwJEKsoVsEuIW6vgvARQs4lhIQbhhGmKEruyZMn3yqXi+ALiKmV31DBNENjxhgbs3jx4me3bNly//Hjxwv69u3LGWMAAK/X24YQ8orT6cxbt27dK06nc0dgSqImTNNc43A4Lk5ISJiDKuIYUlNTXzt27FjvFStWvPXCCy/43333XSfKOrkqACUjI8OZnp7ebsOGDQaAtsnJyW9qmhbBOf8pLS3tRF5e3k3dunU7dR5FUdrv2LHD2rlzZ8fqtLdfv377dV3vkJaW5qgiELJOHDhw4MP27dtff+TIkekxMTEvE0LmK4pyXefOnT0ul+sQAEdJSUlgyet4iJGehwP3t6+ef4Kd3Klr1647iouLuxFCoKpqjGmaJDo6OkzXddWyrBOEkNaEkOMACOc84scff9zyzDPPRERFRR257777jkRERMy1LOuIoigRXCiCGN4/RAgJI4Scdhz7yzEMIs4G9v+lqqpapmkeAQBCyAnOeSBO5BAAlJSUFJevK1NL0yG+cPcPGTLk2hUrVnQCEHvs2LHWhBCdc/4LgFhCyAjO+dCcnJx2lFJLUZRWAEo0TevRq1ev3zRNC3QuJgwbNmw9IcTlcDiKSktLV6qqGu1yuaYoinLUXpFVpCjKm5Zl9cvNzV1xhk7zIAC3AvjMLgwYCQClpaXhAGA/dxyANWLEiCeffvppZppmW0LITAD8pptuuvo///nPAAD4/fdTHy23AfgfNMCIZ2Fh4fGwsLAKEwLGx8cXc86f13X9xuXLlxcsWLDAB+C/ECvbJOk0LaVzMQTAOvvnq3VdXwqAc86LVFXdmpiYWNlKjGBnrDHQyLQGMGnixInHAJAnnnjiV0KIR1GULtu3b287bdq0C8eOHTv8rrvu2kMI2d2qVasXjx07Ni0xMfGz2pwsOTl5j67rrRRFyaCUjvP5fBvK7aICeBnA6CeeeOLzFStW3P7dd98d1XV9/iOPPLIcohrrOIiOX6/09PRLlixZcgx2UjDLssYD+KygoKD9woULHwbQEaLey0AAWLt2bbeHHnrofr/fHw4x9bG4qjZblvVeu3btJkAkSAupESNG+CmlSnh4eJHD4Vjo9/tXREVFzVi2bNk9EF/qcDqdu0pLSwPpwocjqHNhm9anT5/njxw5km4YxnKfz1fTKZ1XAeD9998/m4cCwzCiTNN0Op1OpbS0tA0AcM4jIb5UI2E/HkJIuMvliqCUQlGUNpzzY5xzFWWdlCgAxYqiWJzzVpzzo4qiRHLOTQAl9gqJQ4SQ8OTk5NtM04wE0KNdu3b/sredtDtQvxNCijnnBwCcA0DnnJuEEIdlWT9cc801N27fvn0YxBe8H/Zn3q+//uoE8IJpms7k5OS3c3JyMi3L6lC+pLphGB379OlzDiqfIrwLZblDLgFwy8UXX4wvv/xyMMT0aN6zzz775v333//q5s2bd7nd7tPu3LZtWyeASfavxfbzkwcxSlrvjh07VmnnAgDsaaaVUVFRX0A8XkCsDPu4HponNSEtpXPROejnToG5+mZsHYDh69atMzMyMi7auHFjb6/Xu5dSOum8885j27Zt6+lwOB4qKSnp5/f7X+vVq1eRrutnFX9w9OjRN6Kjo69WFGW/pmn9kpKSggNnB0IEIyIzM3P6gAEDOsTExLQaM2bM3fb2Ffa/uwGsueOOO0yIYfyfAXTr0aPH5wC+/fbbb6dBdCwAkUmwNYCjaWlpiXbHAhAf1FV2Lnw+3yFKaZuCgoKw+Pj44qr2PwsldvKjDyIiIsb27dv3g23btv1F1/XVCEqx7HA4DgR1Lv4wOpadnb1PVdV/KIpy0u12N1huFrfbXRj068F6Om0/iOlIXlJS8hqAtoqidLYTw/0KAJZlRSqKUsI5/4lz/jsgUu3+97//vcA+BgHgcDgcx03T/G7Hjh23KIoSY1nWMPs9UKDr+iUATutcuN3uD3RdvxXAv6rRzi0Atjz//PMzvV7vfIjp1cxLL700fOTIkUPcbvdpo4KGYbg455GDBg0af+LEidYQy8qTUFaIsN6NGDHCzxhzVrVfYWFh8Chhr0p3lFqskFXwbGQ+hBiu/x5izrnZSk1NVQkhgcsjdfjw4fNKSkrWUkqvdTgcXSHm8xeVlJR4ALydkpJy2K50WlLpQathyJAhJwkhJxVFoYqiJGua1iFo808oW+FwHMClhw8fHvrOO++UzwIYCDpUIRKJnQug60cffbTR6/Xmjh8/fheAQIDd6wCOFhQUtB4+fPi3DocjkLPireq2WVXVd4qKiiZVvWft2V90bd1u9++maXYGgP79+++YO3duO4hgVwBYfvLkST3obvnlj+NwOIYdO3Zsk2maIcns2cjdBfHeSNq0adMzXq/3IbfbPZ8Q8ufDhw9/PWbMmCtTUlIWzZo1K4pznmNP9XDLsmLbtm17WkfN7/e34pz/C0ABISSXEFJ64sSJwN/LbsbYH2qvLFu2LCsuLu4TiLok51TR1gETJky4HqJswJcACvv06XPANM1OwRWFU1NTVc753FatWq08ceLEBoj37Y8QFwYVBUY3NvdAlIr/EI23NIIkSWfLLiJ2D2Ps29GjRy8D8GtYWNiWoUOHfqcoiul2u/dt2bJlCiBqLgRX7NQ0bTCltG+lB68mzrlilysnjLGF5dIVuyESfQWXpn4k+P7Jycn3KIrih/hwvdBuWy/G2HDDMKIopYGOQFRQ24dlZWX1/OCDD66eOHHiaYXRqkPX9dmVlYevCzNmzJg+atSomwAoGzZsSBk+fPhfIEZdPkTZ87APopbDMoissn9Ira7r+iwAoJROD1Vbm6gLEVTlNC0t7RFK6QuU0o80TXvn/vvvnxMREXEYZUX9OIIuMBhjMwNF7TjnJCsraw7suIkgy4LuW9ny7ICfg/Y9VfY8Pz+/XeD9yzknlRW8awTCnn/++Tshg/0lqWXTNK2VXevgU13XXygoKAiDqAr63MMPP/x/9nJLDoDfeeedSzVNW8gYSwg+BqV0TnDtkbNsz2BN0/oZhhHFGFsAMSUSH7RLBIA7ASxE0LRAQUFBGGPs47S0tEfs210AJv31r3991O6sDK/oqpIxNjNQgTQvL69LLdrb6kw1Sc7SVSj7ovkHRFr0QKnvqRDJxgLbf6zsIPaX0XRAdi6CpaenRyxfvvxKp9N5AgCPior6OTs7e6au67cxxhIC9YMYYysXLVr0z6ioqG0QsSenYgoYYzMCHTcA3R0Oxy8QHZHgqbW/o+x1+mcVzdoXtO/I4A26rs+z6/nclJubG3c2jz1EYiECNDnEChZJqrWWEnPR3LSJiYmZM3369M4Oh6OLaZqlnPM7PR6PDvFl/hoAPPHEE8c6dOiwf+/evR0AHEtMTMwkhKic82GapkUEx0XUVXKcpKSkrHPOOeejn376KS46OnoPxFWfBTEdsxFiuelT5e9XVFS0gHN+xB5+LoII7pz1wAMP8AceeKC/qqoXmKb5CkTHBBCdjxWDBg266OTJk11dLtcMOx32TIg8HdVt73FKKS8oKGgdHx9f10F0A4J+Hggg8IVCevbs6Tt27NijBw8eHA5xlfhfiE7VHzLA5uTkJBFCqv2YmgECkdPjFwTVQUlNTVX79u2bDJFozqUoStGwYcO+WLVq1dKPPvooYtq0aT9wzj/0eDzB0wo/MMaUIUOGrL7xxhsD952uKEoRIeQLy7LA7cxVAMb7/f5AfNYCiE4FAPwNojouAbC0irZf16pVq3vatWuXs2vXrs+DNyxbtmxLXl7et5qmfX3gwIG3KztAAxoIILCi5iqIQOt6T+QlSVL9cgIYPWHChJRu3bplw746mjNnzv3lRh1mB7a5XK4Td95550cAvu/Zs+cqwzBOJfahlF5IKb05JydnsH3lrkKkEI84y3ZOQdmVW3HQz49XdgdK6WjDMF7VNO3/ZWRkBILJsoPuG/wv8OE/oZLzvFLTBhcUFIRRSufU9H7VkAixyuAwxOqW6RBBkNumTZvm1nV96h133PH3iy+++HlFUZ6F6IRpEOnRT9F1fVbgNdZ1fVpqamqFFTubkbUQr2Xu8uXLkyil0+3qxdODp+80TetHKb2dMfbomZ6Tikam0tPTIwzDuIhS+gxjbCml9FqfzzcMonPHIWJ6boRYaVYjqampKqX0+vK3x8fHb0bZ+/SvNT1uPYiDiI/iKFtdJ0lSM9QOIoCx0Ol0GgC4oijFrVq12o8K5o8BhBFCDgHghBDzhhtueFNRlMKgff9QDlzTtKm6rv/V4XAEItQLUM0y45UYEnS+HyC++PdDBGj+AWOsuz00/XzQ8DQgarP8DpE59Ih9vD0QIxaAWEEQmPL5NeictarFwBi7LlRl0KtiB78eR9ljmBy8Pbi0vK7rQ7OysnrWawPrVySCOpNDhgyZqqrqWIjVRhH29NlkXddvNQwjUdf1uVV1ts407aVp2jDDMEZlZ2ePMAxjwsqVKxfdfffdf1NVNVB+3IJYqVIjwa+Z3YYrYmNjPwh6bPVRiKw2IgEkoOUE+0tSi3Qjyj6MggPSngawA2Jt+TkQc7sxL7/88hUo+8LlS5YseRgi8Vfgfv3Ln0DX9VndunVrG7QPRy2u1soZBzFn3QViqL/C6Td7/vkOSumzubm55wcC6yrQG+LLpWu520dBrCToARHDcB3sYmE1lZGR4WSMlV+9Up8+hnjuj0JkbQQgslBSSq8N/J6YmHhtUlLSctipwJupwBX+jxAZXTkAHhMT8y6l9PqCgoLWgCg6yBi77kwHsl/XKZVtz83NjcvPzx9bwXvvVGDmhRde+DBj7IqaxEkEd5TtkbkUiNfstcTExC3236okSVKDGAAx58whknj5AegQIxqAmCrZDjGiseftt98eGh0dfV9sbOye5OTktYZhdLKP8RzsaqLlBV1hbQLAHQ7H9nXr1k0I3UMqQymdn5+f31fX9f+jlF5MKe1d9b1ChzF2FWOsWlk+Q8AFUQArOCcLKKWjNU3rZv+agrJOpo7mSwXggbiK/h+UdXrTg3dijM3QNK3ShE8AkJOT01nTtFFn2ocxNoMxNrPczbMhMvluBBBdUFDQmlI6Wtf1Wfa/eZTS/pUFQlNKx2VmZra3p14uDN6m6/pljLGFOTk5nSu6ryQ1BzKgs3HLgEiqEw/x5W/h9HwUnextsCyry/z58wvT09OPc849AMa63e7fIEYuMio7gZ0RERCjDT39fv/u3r17n6fr+jxCyKqgyqN1yjCMkQC2lpSU/MmyrCdVVb3Y4/F8GYpzVVdubu66xMTEG1D1csNQKAHwh3oOiqJ08Xg8gaq9XVE2XN2cRy5MlHWeXoF4b3ZCUJyCnc9FTUpKOv7Hu5cpLS2NczgctUn2tcr+BwCIj48Hgqonp6WlOTp06NDHMIzrdF132Wm+fy4sLPxmyJAhpVu3bt124YUXzuCcZ/t8vq+DD+x2uz/NycnpbJrmlNTU1OeqUY9HkpocOa/W+BkQAW5FKJfoKisryxcVFfWp/esnmzdvvkRRlJWEkOsiIiLeq+rAmqb1sSxrh/2rBREjUer1enMJIas557fW8WhCGIBZffv2nVNaWtrOsqxizvmxpKSkKquv1gf7Q35v0EhBY/MxxJctg6g/0RLsgcgXcS5EBxsA0Ldv3ysIIVWmnFYUpZ3f7y9ftbgixfYy7moZMWKE3+12Gx6P5y2Px/Oqz+d7xeVy5bz11luLnE7n4QULFvz07rvvXq8oyg/l70sIsUzTJA6H4/WEhITKpgIlqUmTIxdN0M6dO8OPHTs2S1XVbwoLCy8FEMEYm6YoygYAnSzLKqhOSmtCyABVVStcz26neV5KKZ3IGEvwer3fQcRsfAuxLK82/g/ArXl5eUhOTv4iPj6+a0xMzP3du3e/YfPmzY3i6s3tdq//8ssvb4XIrpiLoKWQ9S0/P7+d3+/fF3RTKYAbGqo9jQkhJM4ematyv+PHj2+taj8ArKioyIszjPJVpW/fvr8A6AY7j8Yrr7ziuvbaa7vbacUBAJZlGV6vN2vNmjVb/vznP79y8ODBbpMmTeq4du3aqvJnSJIkhQ6ltC9j7C47q2QvABdkZ2dPDizRY4wtrO6xyke0V+bll1++QFGUvRDz3nmoZdAkgE/wx6WlJ+3/D6OsbkhDaqOqaiCYr1aF3OqKrutXG4YRVfWeLYumacPKJ4KrTHUSpDHGLjUMo1NFy0erg3OuaJo2ijF24+DBgxfDDqp2OBx7ITqoQwAxlWMYRgpjbOawYcPuh/030KpVq/12fJQkSVL9s0cRAlHmF0FcyfKOHTu+DmDW+PHj/ycjI6Paabyr27mAiPsI7hDU9oPwEogP2wL8sZNRF6tU6sJFOL1NDfblXm5prmTTdX1edfetTudC07RuTz755DUDBw5MhcjTUi2U0r66rk/TdX12uelDN8qysXIAH1Rw91GB7aqqfq/r+ipK6XRN02QRMEmS6kdeXl40Y2xhuQ+wxSj78ArOezG/Ose080sMr2YTnCgbdTjrIkVZWVnje/bs+RDEWv8VEKMXH9rnaWhREHEuPDY29g8BlvWpghUMLZ6maX10XR9a9Z5CdToXnHPSrl277Sj7GxpT2b6U0ljG2BQ75f7oM6TNvyXoeP+oaIfw8PDpF1xwwXsAzsnMzGy/aNGiR3r16vXSX/7yl8X2ipSrA8tuJUmS6pRhGCmU0tvLFQEDgPMh0iOXQgT4Vbf2AQCRNKoWBbuqHfBWibaRkZEDs7Ky5p7lcULNAaB7ZmZmID9BvWOMJei6PrAhzt2YUUqr1XkOqG7dmFatWgWm/ThEbZ5T7Ayu4yilN+u6PjU9Pb06WWwJRBbZ61F5p7lTTEzM9xDZaK9CWXbQIwAi8/Pz29kJw2YxxmZUsvQ1HGeX9E6SpBbCBTsFN2NschVr9FV736EQV9vpEFH1VarBlEhdOQfAIQA8LCysyaQW1nV9XkZGxh+qlIYaY2xmC0jzXSOapnUImhaslup2Lu66666VkZGRmaNGjdrz8ccfDwEASml/SunNjLEb7Syqde1/UdahyQj62UJZHRoAYnRF07R+gTwbjLHJ55133mUQHZFiiE6MJElShYZBfFicvPrqq5eEMslOA3QurkHZh2dtV5vUOzuL6P+rq6qx1dUAr0+jxxi7KS0trSYr3AZOnjx5Oaq+sp/kcrlOAvjxzTffpLquf6zr+uLqBo2eheko+5t4FSJ1fTqAW6u6Y0FBQevY2NgVQfffVMVdJElqwZ5H2YfFh6E6iaZpHXRdvyxUx69EB4fDsRvisT1Tz+c+K4ZhdDpTCum6lpaW5tB1fWp9na8pyMjIiDxDeviKDEJZNtNPz7Rj69att9r78UsvvXQbpXSNruuLMjMz29e+xdVCIKZDFiCoDHwNXImyDL5/rsN2SdJZk0m0Gpc0iCFRIITLIBVFuaioqOi7UB2/IllZWSVff/313RDLTe+oz3OfLbfb/ZtlWb8ahlHjAla10bZt2wtN06xOboYWw+VyTSaE1KTD3Rdln2/uinbIzs7uSim9oV+/fqeS0/l8vv12Rs/jLpdrek0Sa9UCB7AGwHKIwnU19SFEhl4PRA4ZSWo0ZOeicXkXoiJhEoCloToJ57z1gAEDjoTq+BVxOp3XRkdHrwGwr8qdG6GkpKSvOOe+mhSvqi1VVXs1lqyljYEde+K0E7tV1zqn0/mVoij7ANwfvCEQu6AoykBVVQueeeaZlZdddtnNd9xxx+1z5szpYFlWJ875RSUlJe8XFRUt4Jw35s/JnRDxVpLUqDTmP5qWajtEmfFmIycnpzPn/NdQ1SmpL263e6Xf759R3/EXLZyrd+/eVzocjipTfZdzZNu2bfdrmjYAwEp7xcckXddvdTgcxXbK7rWc8wRFURwff/zxi88888zzpml+xzmPARDmdDrvdblcbzDGZPyLJNWQ7Fy0LIMIIesnTpw4HmJVSr0wTXOSx+PZUF/nCxVCiAXgLcZYyOpBZGVlxRBCDofq+E3MdQCOXHDBBS8nJibWOLiZENJdUZQwxtiNxcXFM03T/MLj8fzL7XYbgKg4a1mW3zTNrwL3URTlcYgpiigAxUVFRffs3r07xy573xaAzDshSZJUTjbKAkbrpUZFdnb2+TVI1tUk6Lo+VNO0waE4NqV0IqU0NhTHboI+Rdn79cma3JFSeiFjbCWldGxlI026rs/Vdf0POVcMw3iZUrrm9ddfX+9wOA4oiuJPTEz8CiKnzHEAI2v+UCSpZZGFy1oQQsgJznng15rMX9eaw+EY4/F4nq+Pc9UXj8fzDaV0Tn5+/o4+ffpUp+JmtSmK0sbj8Ryqy2M2VYqipFuWNRqic/F1Vfvn5eVFl5aWjiOEtC4tLf3U4XCk+Xy+jRXtyxgbzzm3LMsqn4W17aRJkzpGR0d3iouLc/r9/jgAyM/PT4b4vHRArPD4/KwenCRJUnOgaVqvZcuW3aUoylMXX3zxcohlcCHFGBtgGMagUJ+nIXDOFcbYwjoM9usDYEP79u23AOhSR8dsKlwQaeC/AXAqSRaldM7SpUvXQQQ5lzcGIkNt/tSpU8czxm6ilF67c+fO8MAOlSXQsl+7mxhjN1aw+e+wR0vatGlzFGUjJ/kALEKIOWjQoAW1e5iSJEnNiGEY5wQXwaqvgliU0pvr4zwNJTMzs/2KFSv+DJGnIPEsD/c2yr7InjrbtjUxwQnWft24ceM0TdPmGoaxiTH2uq7rUyml19r/btB1/c7w8PDNgftERUUtK3/A1NRUlTF2XUUno5ROMgzjhuzs7K4VbH4scNzY2NhjgZ8TExPXAegNoJudCnx6z549wwFcDqBnHTwHktSsyIDOZo4x1t2yrHEej+fV4NtDuOJBBXDNuHHjHiwqKvomROdoFPr163do/vz5dwNYBuA/OLuS8Qcq+bklCF6e3Gns2LHLN27ceC7nfBOAXZZlqYSQcAAxhJAUAN3atm17aqluYWHhH3K2uN3uXpZl7Sp3s7NLly7tLMtqa5omkpOT91TQlicgCo09c9lllz3csWPHn7p161Ywc+bM1w3D6AngZ5/Pt8GyrC8OHz68GcBGiEq/fc7qGZAkSWoqNE3rxhi7pfztuq4PDGFq4/9B2VXoX0J0jsYiFqeXZ+9f2wO98cYbF1911VXfXH755atx9gXimqKrIKY5OAA+bNiw9xlj91FKF9sjFjczxq4LqhKqQGSovKSig1FKxxmG0TbopnMA/AzAGjJkyLpqZt/s0L59+70AikaOHPkqpXR0uUDe3wPtHTBgwN15eXmygJgk2WRAZzNlGEYnzvlYj8fzhyHjnJyczL59+14HccVV1/pU8nNzdAjAXwHc1LFjx+/Xr19vDRxY80KmnHNiGMb5Pp8vDcD+TZs2Fdd1Q5uANQAeB9AZAJKTkwERdNyupKTkowEDBpwot7+FM6TIJ4S0dbvdvwfddCmArgCQnZ19Ub9+/fZXo01X7N+/vwMAfPXVV5cBWOZwODroup7k8Xg0iOmrBwDo/fr1W1NaWjqGUtpOURTLsqwsr9ebSQjhAG6GiBt5HsCOapxXkpo8OS3SDDHGOpqmOcHj8bxY0fYpU6aYiqKEqmO5FCJjIEMIs4w2Ig8C6LZ3797J4eHhvWpTJl3X9UkOh2MD6iHItpE7VXn0wIEDewGkc87fqKBjUWP33nsvB3ACACzLqnAFSQWyIJaforS09CtFUc53OBzpOTk5Q1wu19sABgDwAUhZsWLFf71e7xqfz7fC7Xav5JxzwzBmjRs37m4ALwBYBOCts30ckiRJDULTtA7VCaRkjM2QJb3rHqV0bE06GIZhRDHGZtpBt4sMw1gQvOKhJYmOjjDhHvkAAA9aSURBVP4HIcQKCwvb/uKLL46klF5b29oegZUiqampKqX0Bkpp//79+59z7733PoCadeLOnzt37lMAXJxzRdf1RRBxGYGpsHeruP9UnL7iRJJaBDly0YxomtZBUZSpXq+3whGLcrYlJCSkhLxRLYzP59vIOe9gGMZF1dmfcz4tPDw8FUAyIeQHy7Lyjh49erYrT5qaBAB/mzlzprNfv35RGRkZT8ybN+9zAK74+PhaTxHl5+e3S0hIuA3AWp/Pt23VqlUjZs+e/RTEF311bV+4cOFnjLFYQoi1ZcuW96KjoycHNqqqeqyK+78HUVRsPYCKlr5KkiQ1XpmZme3tvAvVviqrLA+AdPYMwxhZVQeDMXYuY+xSQCwPppSOzs7O7lrD0uJNHYEItOQQJdK/OP/8898D8J6iKEchlobWRFRERMSi2bNnv5aZmXlLIA+JYRhRtX1eDcNw6bo+1f51FspGIn7fsGHDfenp6RG1Oa4kNWdy5KIZyM/Pb+d0Oq/3eDzP2gFk1UIIka9/iLjd7s85505K6cVn2G281+v9JPALEUo55y0p0FqFqNkBiM+jS7Zv334VgKssy4qGWHEUVYPjPX3y5MmnVq1aNaNfv35+ux4MLMuacvTo0bW1aaDb7S6xLCswVfVb4HZCSF6PHj2ejI6OnpuRkeGszbElqbmSXy5NVyQA35tvvtmutLT0OrtjYdXkAJzz4trOaUtV83g8aaqqOgKjE8EYY8MtyzothTQhRDFNsyZD9s2BH8A8AN8C2Bt0e5H9/38h6nlUaefOneFdu3YdEnTTOYAoBsc5PzZkyJCTtW3k9u3b9yUnJ88FoAOYoijKg6tXr96UmJjoLy4uXhkeHn5zIy/NLkmSVKXWAH4AwFu3bp1V2w81wzDOoZRWmCdAqjuMsSGPPPLIbIhlqxPT0tIclNJA4biwHj16XP/AAw/MNwzj8tzc3LjnnnvuzxEREc0ybXoVzgfwNIBb7J9nAKgqH8UgAL1zcnLiKaW3x8bGDmvVqlUOgI9hL2vVdX2eYRhnUwWYQHQqOERui/YAQCmNDWS7zc/Pb6fr+m1ncQ5JkqQGdyFOT94UU9sD1Vcq8JZOUZR82K/XX/7ylwezsrICr9l79u3+lJSUVTExMQ9DXM1zAI80TGubjMCqDf+sWbMWB25kjM0M/Jyfn9+OMTa5ojvXQBRO/3sbGthAKe2v6/oIALDjZWaf5bkkqVmQw3hN0CuvvHI0LCxsu/3regCHG7I9UtUsyzqVLfLnn3+OSElJCbxmA+z/1aysrFmHDx9+ACIOAZClvasSGHVTX3311eDlu6emloqLi68+cOBApcm2qqkQwL8AmO3bt88EkBHY4PP5tgHolJWV1TM5OXkPIeSbFhaQK0kVkp2LJsYwDHe/fv2Si4uL3QC6A5hwNsfjnBcGpVSWQmcegPT+/ft/ERkZeX/Q7UsAnIT4Ags4AZG86aV6bF9jMwXA3yCKhVXmJYjnaS/sfBOGYZzDOd8NADk5OZ0JIT+PGDHCXwftue2hhx5ypaWlbdM07bSAW4/Hs9rpdI43DMPldrt3vPHGG8dUVf0B4jWVI4OSJDVuhmFcpOv61XV5zNzc3DhK6di6PKZUMcMwUnRdH1rJ5tEQqaG/A3AugJa8vPESlE1BaFXsG46ykR4YhjGBUhoLAIyxW+o6yNKucTKz/O2aprXSdX2e/es9KGt/Vl2eX5KaCjly0UQwxsZwzp0ej+e9ujxuQkLCQUVRqlPESToLnHNimuZAj8dTWaXYzQDOAzAYYoVErVc2NANxQT+303V9tq7rV1ZSbKwIIj8GAMCyrDY+n+9QTk5ODwD/rekKqmrIAxCbm5sb3EYkJSUd9/v9W3Rdvwxi2iQwNfOfOj6/JDUJsnPRBOi6PlVRlKMejyetodsi1Y6u65NVVd3U0O1oIj6EKPL1NYC5Ho9nlcPh+MLhcCTpuj5L1/VZdsp0d/mkcUePHnUASDlw4MBkj8fzaV03zOv1fm1Z1mG/3z+x/Lbk5OTtdm6TXwBcAOByALfWdRskqSlo6YWSGj3G2HWmaWYlJydvr3rv2rnlllv+/O6777r279+/CsCvoTpPS5WRkRHpcrkm+3y+Nxq6Lc2FYRguy7IGEELOA0A455bf788bM2bM6gMHDpyrqupu0zTdAKpKz11j9jLi3wkhmV6vd3e5zWrbtm2/+f333y8AsA7AZNQs3bgkSVJIRAC4wO12RzHG/qRpWrcQny8RIiiOQ6zll+rOIAA0KirKOPfccz0N3Zjm7KGHHlImT548G6cvGQ1JrhBN00bl5ub21HV9bgWb+5ZrQ49QtEGSJKkmwgDkAuBhYWE/PPPMM/URCzEWZR+EJyCnyurS+yh7bp9t4LY0dy8B4IQQPwDucrl0hCgo1q60Ot0wjJGMsYRymyMA/Ajxmm8HcDbJuyRJkupEPE6/6jmvHs7pBPB6ZGTkL6NHj15WD+drMSIjI59B2Wt5RwM3p7n7FfZzPWfOHC0rK+veUJ4skGF18+bNCwEMAdAqaHMbAMMBRIeyDZIkSdXlAPAFxIfk5whaYhdqlNJYwzA+q6/zNXc7d+4M37p1659VVZ0F4BrIEaGQSklJ2QAxYnHwnXfeWa7r+nOhrJtjGMblr776ai9VVXdC/L3mQHTUJUmC+DKTGg8/gBEAOgDYh3oMBPP5fIcopb9lZ2dfmpyc/EnV95Aqwzknuq7PV1V1uWmaJxq6Pc2dYRgTOOf3Ukq/6NKlS1ZcXFxfzrm/qKhoDEQG2zp38uTJz/bv3/8n0zR72jclAOgGYGcozidJTY28mmp8OETGwXqPMFcUZQ0h5Iaq95TORNf1BZZlrR4wYIDsWISYpmmjTNPcD6Ct1+v9MC4urqOiKActyzoBoGOozjtgwIDSiy+++AiAwPLwTQB2hep8ktTUyM6FdIppmptUVbUMw7ioodvSVOm6frVpmp8lJSXta+i2NGM9AUxas2bNJaqqOnw+37cAzvN6vbkAwDk/xjkPVxRlj2EY54SqEeHh4Xs1TZsKkfRrLIC6TtglSU2W7FxIpyQlJR23LGtzYWFhRUvspCoYhjGSELI7lDlJJJwDsWT6/WnTpj3n8XiGnXPOOe++8MILGoAu69ev78o5P+ZyufZZllXAOR8eqoZMmDDhp2nTpr0A4MpQnUOSJKk56ORyuX4khFjx8fHLUI8BpU2dXTfksoZuRwtwGcpW4JhBP38GoBgA79Wr1wuU0v6MscmMsRvrur5IEBp0/lEhOockSVKTdyNOXwq7B2J5rHQGmqb10nV9akO3o4WIhIhzKAawBWXv1Zygn4sJIYfnzJnz1KRJky7t0aPHagDTQ9CWXUHnrNOCgpIkSc2JF6IQVHAH454GbVEjZxhGW8bYwoZuRwvVGsDTAFYBGA/gEETcAwfAO3furENUmg28l4fU8flHAfg4Pj7+HciVd5IkSWfUA8B7ALiiKH7U/Qdys2EYhotSemdqaqqcPmocIgDcBLszMXDgwA8A7EdZ5+LyUJyUUjonFMeVJElqbgiAwbfddtuiTp06PQRgdAO3p9HhnBPG2B2aprWqem+png0AMFLTtFFJSUkzAHwM4DGEKICdUjo6KyurZyiOLUmS1Bz9B+KKz4IoIS3ZGGMLGGMhy6Mgnb2srKwYXddDvpKDc65QSkMR0yFJTZZciiqdSSBHAElOTr6wQVvSOFwO4B+LFy++R1XVz7xe796GbpBUuZSUlMMAYkN9HkKIBZn6W5Ikqdqug8gp8PratWsTKaU3MMZmtNCpgF4Q6dk5ROCgrHbZBOi6Pqs+zmMYxgWGYbjr41ySJEnNzs6dO8MppRN1Xb/NMIzEhm5PfXE6nckoCwwsBRDVsC2SqqO+Ohf1fS5Jauzk8impRnr16lUEYB1wKnHULMuyjubl5X04ZcoUs4GbFxI5OTmdTdO8eOjQoX87evToxQBWAihs6HZJVSOE7GOMdayPKSzLslTOOSGE1HtdIEmSpGYnJyens2EY1zDGZiQlJV0KQAPwDYBzG7hpZ41SegljbArnnDR0W6Say8/Pb2cYRkiWoJY3aNCg26Ojo9cDkCMYkiRJdaWgoCAsMjJyE8qmD5Y2cJNqzZ7+mc8Y8zV0W6Sz0umKK65YCSApxOdpA6AEZaureoX4fJIkSS3KP1HWubitgdtSK4ZhJDLG7srIyIhs6LZIZy0P4r1YBKB3CM8TjbLstiZEMjpJkiSpjrgAzAZwDZrYUmc7MdZkTdNkEarmwYmy0QSO0CeDGweRivy6EJ9HkiRJagoyMzPbM8YW5uXldWnotkh15/zzz/+nqqp7u3fv/jVkLgpJqjdytYjUUsUAGAzgO0ppEoA+Ho/nWTshktRMvPvuu9ujo6N7FBYW/p1zHuXz+Q41dJskqSVoUsPWklRHwgFkA9ioqqq+a9eukz6fb4XsWDQvmqb1UxQl014+rQGY1NBtkqSWQnYupBZn4MCBfWEH3Jmm2fXKK6/8vYGbJIUAIWSgx+P53v7ZVFX1mKZpHRq6XZLUEshpEalFSE1NVRMSEkYB6Ob3+w+mpKSshbiSXQvgh4ZtnVTXKKX9AWQEfuec/8I5z1MU5UqIJGiSJIWQTAwkNWuMse6c82GEkNZ+v39TSkrKj0GbXRCrCaTmIxnAbWPGjHF8+umnNwRu1DStlaqqlxNCSv1+f2ZSUtLPDdhGSZIkqYm4BMB3AN6ZMGFCR13Xr6SU3qxp2iiZXbNFKUAlS091XZ/NOSe6rs9rkJZJkiRJTc73sL9UEhMT/1lQUNC6oRskNYhdKOtcjA/eoOv6bAAwDONySmkoE2pJkiRJzcQ6lH2pyCRGLddFAN4DcD/KTftu3rx50ujRowcDCEtJSXkPIuFVQv03UZIkSWoq4gAsBjAVMpZI+qNYQshOiM5nNso6ol83aKskSZIkSWqyRqGsQ2EF/fxlQzZKkiRJkqSmKwZiyTEH8CGAByGWpJ7fkI2SJEmSJKlpCwdwHuS0mSRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJAf8fT0HlZVEfAqEAAAAASUVORK5CYII=", "image/svg+xml": "\n\n\n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, UnitBox{Float64, Float64, Float64, Float64}(-1.2, -1.2, 2.4, 2.4, 0.0mm, 0.0mm, 0.0mm, 0.0mm), nothing, nothing, nothing, List([Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.LinePrimitive}(Compose.LinePrimitive[Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.04530444867126396cx, -0.4261824308210822cy), (-0.03468749969129999cx, 0.07295411679756912cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.040529344923020925cx, -0.4279166914258635cy), (0.21233351091412653cx, -0.11231821156984953cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.04623750620247664cx, -0.4419549375502708cy), (-0.055490928755458184cx, -0.5371412543630214cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.05078634214885147cx, -0.4399398679505547cy), (-0.07023984469023548cx, -0.4613694037870409cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.05336057855599509cx, -0.43355783272301773cy), (-0.24662233866877cx, -0.42060910272195673cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.04761106352975671cx, -0.4416973058375416cy), (-0.08951687973607206cx, -0.5908414635149866cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.04306892299261246cx, -0.44161777010507897cy), (0.03969475970446658cx, -0.7009441988067815cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.0503510610076908cx, -0.4403072955165799cy), (-0.18084590015897042cx, -0.6067118080195711cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.04235043030988806cx, -0.4413494112525455cy), (-0.014423277969686558cx, -0.5063167137435307cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.037999151157485034cx, -0.43666471157850495cy), (0.13700449518167174cx, -0.4970420236521266cy)]) … Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.7144267599411313cx, 0.1567131204235758cy), (0.7662715641826393cx, 0.18853589337457563cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.21336944094845775cx, 0.7078951684230887cy), (0.17292392093623424cx, 0.7522704323381479cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.22893405579903373cx, -0.719130165356707cy), (-0.25240606467352444cx, -0.7764998419644169cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.542942662766414cx, -0.25886567614583667cy), (-0.5587741371119864cx, -0.3091582666505268cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.4461869937338612cx, 0.2156501592348907cy), (0.4142436246015479cx, 0.23424765905086334cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.13614467548526224cx, 0.47429065692126043cy), (-0.08186467719586739cx, 0.45833832503851196cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.6461558130521994cx, 0.4923719025056507cy), (-0.6697682921925449cx, 0.552519035401545cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.6069356887354384cx, -0.5607611596719441cy), (-0.6214940470026246cx, -0.613973539881061cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.22610935304068558cx, -0.27758272115708094cy), (0.25324997345894606cx, -0.3282425493289438cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.604244489917754cx, -0.4175642878428759cy), (0.6497508484836808cx, -0.4501683671222635cy)])], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.09486832980505139mm)]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.09486832980505139mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}}(Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}[Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.04547256974087954cx, -0.4340863371531405cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.034519378621684416cx, 0.08085802312962742cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.21727673573198514cx, -0.1061485658425726cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.40004789973702526cx, 0.3411345782769777cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.4348680352206684cx, 0.39160890820445426cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.20306745435760853cx, 0.06755585162997635cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.07181398444994902cx, 0.0529328876175299cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.0213803124703289cx, -0.034521267239190134cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.14241248667158302cx, 0.5016541834389221cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.003480027048470502cx, 0.07027888661401116cy), 0.0031622776601683794w) … Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.353288208612867cx, 0.7116065635237074cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.026546777357540297cx, 0.38747153412867563cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.6726572524133082cx, 0.5598779693489893cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.2553997037429987cx, -0.78381681709911cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.7829808095600967cx, 0.06659879015072967cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.010334048806610485cx, 0.1319851560952161cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.47274051583402377cx, 0.13055240802732726cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.6488594285423854cx, 0.4968561829434941cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-1.4627198867800395e-5cx, -0.6104989502515368cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.06464571498314586cx, -0.35074003474978854cy), 0.0031622776601683794w)], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))]), List([]), List([]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Test on toulouse_neigh\n", "toulouse_neigh_state = new_state(toulouse_neigh, 50)\n", "state, X = SIR2(toulouse_neigh, toulouse_neigh_state, 0.9, 0.1, 40)\n", "\n", "plot = Plots.plot(1:size(X)[1], X, labels=[\"Susceptible\" \"Infected\" \"Recovered\"], palette=node_colors)\n", "png(\"img/q10_3p.png\")\n", "display(plot)\n", "\n", "nodefillc = node_colors[state.+1]\n", "plot = gplot(toulouse_neigh, nodefillc = nodefillc)\n", "draw(PNG(\"img/q10_3g.png\", 100cm, 100cm), plot)\n", "display(plot)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", " \n", "Question 11 (code): Implement the function `Simulation_SIR` (respect the header and the specifications).\n", " \n", "###### The corrector should be able to write `predictions, taus = Simulation_SIR(net,nbinf,betas,alphas,t,nbsimu)` with your code." ] }, { "cell_type": "code", "execution_count": 68, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Simulation_SIR" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "\"\"\"Take a contact network, different diseases (defined by different parameters alpha and beta), a number of initial infected people and process nbsimu simulations of SIR over t time steps. You will provide the prediction of the percentage of infected at each time t as well as the spreading rate of each disease.\n", "\n", "* PARAMS\n", " - net (LightGraph): graph representing the contact network\n", " - nbinf (Int32): number of infected at the start of each simulation\n", " - betas (Array{Float64,1}): array of infection rate on edges\n", " - alphas (Array{Float64,1}): array of curing rate on vertices\n", " - t (Int32): number of time step\n", " - nbsimu (Int32): number of simulations\n", "\n", "* RETURNS\n", " - (Array{Float64,3}): the prediction of the percentage of infected, the percentage of susceptible and the percentage of recovered at each time step and for each disease. The first dimension contains the time steps,the second contains the diseases, and the third the status(Infected: [:,:,1], Recovered: [:,:,2], Susceptible: [:,:,3])\n", " - (Array{Float64,1}): effective spreading rate for each disease\n", "\"\"\"\n", "function Simulation_SIR(net, nbinf, betas, alphas, t, nbsimu)\n", " taus = zeros(length(alphas))\n", " prediction = zeros(t+1, length(taus), 3)\n", "\n", " for (i, (beta, alpha)) in enumerate(zip(betas, alphas))\n", " taus[i] = round(beta / alpha, digits = 2)\n", " for _ in 1:nbsimu\n", " state = new_state(net, nbinf)\n", " _, X = SIR2(net, state, beta, alpha, t)\n", " prediction[:, i, :] += X ./ nbsimu ./ length(state)\n", " end\n", " end\n", "\n", " return prediction, taus\n", "end" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "Question 12 (written): Run the script below and describe what you see. Why the infected curve does not behave the same as for SIS ? \n", "\n", "> On observe la présence de la nouvelle coube \"Recovered\" qui vient retirer progressivement des indidividus de la population infectable. Ainsi, on observe que le graph converge vers un état final, et non vers un état stable comme dans le cas du modèle SIS." ] }, { "cell_type": "code", "execution_count": 69, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Script launching prediction on one disease on n7_2A and plotting the percentage\n", "# of infected, susceptible and recovered at each time step.\n", "predictions, taus = Simulation_SIR(n7_2A, 2, [0.3], [0.2], 50, 1000)\n", "\n", "plot = Plots.plot(\n", " [predictions[:, :, 1] predictions[:, :, 2] predictions[:, :, 3]],\n", " label = [\"Susceptible\" \"Infected\" \"Recovered\"],\n", " xlabel = \"t\",\n", " ylabel = \"%\",\n", " palette=node_colors\n", ")\n", "png(\"img/q12.png\")\n", "display(plot)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "Question 13 (written): As for Question 6 script 2 plot the evolution of the percentage of infected for many $\\tau$. Describe what you see.\n", "\n", "> Globalement $\\tau$ semble déterminer la hauteur du pic maximal de l'infection, plus $\\tau$ est élevé, plus l'infection est importante. De même, les valeurs de $\\beta$ et $\\alpha$ semblent déterminer la longueur du pic, plus celles-ci sont élevées, plus le pic d'infection sera court dans le temps." ] }, { "cell_type": "code", "execution_count": 70, "metadata": {}, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAIAAAD9V4nPAAAABmJLR0QA/wD/AP+gvaeTAAAgAElEQVR4nOzdd3wUVfcw8Lu919RN7wkphHRK6F0soFRBUCkCosijvqg8KjbkEQUBERQQEFARARWRqvReQughvW82bXud2Xn/WH4hhA2EsLuzyZ7vH352ZmdnDiPs2Xvn3nMpBEEgAAAAwFNRyQ4AAAAAIBMkQgAAAB4NEiEAAACPBokQAACAR4NECAAAwKNBIgQAAODRIBECAADwaJAIAQAAeDRIhAAAADwaJEIAAAAerQMkwsrKSrlc3tq7BEFAlThSWK1WskPwUDiOkx2Ch4I7TwqCIJz9bdMBEuHKlSs3bdrU2rsWi8VsNrsyHmCj1+vhJwgp9Ho92SF4KLjzpMAwzNlf8h0gEQIAAADOA4kQAACAR4NECAAAwKNBIgQAAODRIBECAADwaJAIAQAAeDRIhAAAADwaJEIAAAAejU52AAB0MGajsr7qfH31BVXtdcyswzG92ajCLDrCaqEzBUy2mMESM9kiJkuMKJTmH6QzeQyWiMkSMVgiJltEpTHpDB6FymAw+TQGh8P3R4jS2kUBAM4DiRCAh8Axg6ruplJxvbHmcn3VeaNWLvFP8QrIiOg6mc4U0Bk8JltEZ3ApVKbFpLKYVGaj0mJSWcxawoo1Pw9m1ppNKk1DgcWkMptUVtxiS58Wsxaz6DGzViiNFnp3ufNfr1gO35+sPzLoWEpLS+vq6siOwlkwDLNarUwmUyQSRUVFOeMSkAgBsAMza6sK99eU/KusvaZTlQmk0WLfJLFvYmS3l0XecRQKze6nmGxRu69oManV9Xnq+tvq+jx5yWFV3U3CahZ6dRF6x4q8E7wDMoTesdBkBHY9++yzRqORw+GQHYgTYRimUCiqqqqccXJIhADchWNGefGh8rzfFWXHvQO7B0QNi0mfLfCKoVIZzr40gyX0CsjwCsho2mMyNKjrbqjr8xrlOfkX11hMSq/ALJ+gHlxJVy6nG43OcnZIoKPAcfynn35KTk4mOxAnUigUSUlJTjo5JELg6UyGhkZ5ToP8UoM8p6H6otQ/NSj2mbTBSxksIbmBsThSn+Bsn+Bs26ZRK6+tPF1XcaYwd8s5TSmL6yuQRPDFEQKvGO/ATJF3F2gvAtA+kAiBJyIIa33VuYrbu2tKDpsM9RL/FKl/SmTyi5nDVzHZErKjs4/N9w+OHRUcO0qj0fD5XL2qXKMs0jYUqmqvFVxaazGrfYOzfUKyfYN780QhZAcLQEcCiRB4EIKw1ledr7i9uzL/LzbPJyj6qR5PbxBIoymUDjaPiEKh8cRhPHEYChtg26PXVCrKjteWHb9x6gsane0T1NM7qKdvcC+OIIDcUAFwf5AIgUew4payWztuX/iWSmUExT7dd+xOvjiC7KAciSsIDEsYH5YwHiGkacivLT8lLz509fjHdCbfJ7CHd1APn6DuXGEw2WEC4I4gEYJODjNri65uLri0VugVmzLgc5/gXmRH5HQCabRAGh2RPAUhQl1/u67iTE3Jv9dOLqJQqD5BPXyCe/kGZ0NSBKAJJELQaWka8ouvbS27sd03tF/PkZvFPglkR+R6FKFXrNArNiJ5CkJIqyyuqzitKDtx/eRiGp3jG5ztE9LLOyALuk+Bh4NECDobHDNU3N5dfHWLTl0eFj9uwPP7oPVjwxeH88XhYYnPI4TU9Xm15Scq8v68cnQhQhSpf4pUliaVpXoHZFKo8LUAHpfValWpVHw+n8GwP/UIw7ArV64IBILo6GgXx3Y/+BsPOg+LSZ13YVXxlR+9AjJi01/1Dx8I3+mtsbUUI7tNRQjp1RUN8ksN1RevHf/UoKuJTH4pPGmi246eBe7v6aefPnr0qFqt3rlz56hRo+4/oLy8fODAgSKRqLa2Nisr66effqLR7BepcA34mgCdgRW3FF3ZdOvcClnE4EGT/oG+vkfCFQZxhUFBMU8jhJS11wtz1u/f0CMw+qmoblOF3nFkRwc6ntmzZ69atWro0KGtHfDJJ5/07dt37dq1Op0uJSVl9+7dI0eOdGWELUAiBB0dUXH7r+snP+dLIvuM3i70iiU7no5N7JOQNmRpomFB8ZUtx3dN4IvCwpMmBkY/SaOzyQ4NdBjDhg178AHbtm3bt28fQojH440bN+7XX3+FRAhAOxm01Rf2z7WYVKmDlnjCcFCXYXG84rLmxmTMlhcdKr62NffIB8Fxo8KTJoq848kODbRJpY64qXTRtXr4UXiPkklUKpVarY6IuDN/KTw8/PDhw06JrM0gEYKOquL27suH34vqNi02c05rVbDB46BSGQFRwwOihhs0VSXXfz71+2SOICCy20uBUU9SaU4vvgoex5UGtPQa7pprre9N4/EfobyfXq9HCDGZTNsmm83W6XROiazNIBGCjgcza68c+0hRdqzHUz80r1INnIQjCOjS/c24rHm15ScKctZdObowNH5sZPJL8CzWbQ0PpgwPdtOvdx8fHyqV2tDQIJFIEEL19fX+/iSvONbBKksBUF91/tCWgQihQS8chizoShQK1TekT89nfuz93HaLWXNoy8Azf02XF/9DEC5qeYDOgU6np6SknDx50rZ58uTJjAyS/yG76U8GAO5HENa88ysLL/+QOvALWWSrA9KAswm9YlIGLE7s9V553h83zyy9dOit0PhxoQljO1nVOtBuu3fvrq6uViqVBw8erK2tfeaZZ/z8/DZt2vTjjz/+888/CKE33njj3XffFYvFxcXF+/btW7JkCbkBQyIEHYNRV3N+32uEFRvw/H5Yut0dMFjCiK4vRHR9QV2fV3L95yPbRgokEWEJEwJjnqIzuGRHB8hUXV1dVFQ0efJkhFBRUZHRaEQIRUdHP/HEE7YDJk2aRKFQNm7cKBQK//333+BgkkteQCIEHYCi7PiF/XPDEp/v0n0ejItxN0Kv2K59Fib1fr+2/GTx1S25R973C+sXnjTJN6Q3LJHomWbMmHH/zp49e/bs2bNpc+LEiRMnTnRhUA8CiRC4OeLG6S9Lr2/LfOJb78DuZAcDWkWh0HxD+viG9DHqaspu/nb58AIanR2b8Xpg9IgOt8oV8DSQCIH7slotlw6+pWkoGDBxP4vjRXY4oE3YPL+Y9Fdj0mdXFx3MO7fyxqn/xWTMCenyHJUKMy6Am4JECNwUZtae+Ws6lcbsM+Y3Gp1DdjjgUVFkEUNkEUNqy0/eOr/y5ukvI5JfDI0fw+b5kR0YcAWLxVJRUeHr68vj8eweYDQaL1y4IBAIkpOTXRzb/SARAndk1ClO/j5J6t+t24DP4aFgh+YT3MsnuFdjTW7xlc0Hf+wrlWWEJYyXRQyBKfmd2ODBg48fP26xWH777Te7RbeLi4v79+8fGhoql8tjYmJ27dpFp5OZjKDvHrgdTWPhkW1PBUY9kTLwC8iCnYPELzl18JdPTM8Jjn2mMHfD32tTrp34zKhTkB0XcIr333+/srIyNrbVwr8ff/zxiBEjjh49evny5cLCwl27drkyvPtBImyVMk97ZWWRFSPIDsSzGDRVJ3aMi8t6Iy7rDbJjAQ5Go3NCuozuM/q3/hP2YBbDwR/75vwzX6cqJTsu4GB9+vTx8nrQQ/0dO3ZMmTIFIcThcMaMGbNjxw5XhWYfdI22Sn620aS0FG6vip4QSHYsnsJsVJ7YNSEqdUZYwgSyYwFOxBOFduv/aZfu8wpy1h3++QnfkL4xGa+KfRLIjqvzwOrllvJ811yLFZdGZT/CzFGlUqnRaEJDQ22bYWFhhw4dck5obQWJ0D7cZFXe0qbOj7qxvqz6VIOsp5TsiDo/HDOc+v0F//DB0al2JiGBzofF8UroOT82/dWiq5tP/TGZLwqLSp0uixgC0y0eH94g118+5pprMcPj0aMkQoPBgJoV3WaxWLY9JHJiIsQwrKyszNfXl8/nt3aM0Wisqqry8vISiUTOi6Qd6q+oRdE8pojR5aWQ3OWFPH+WMML+2CfgEIQVO7vnFb4kIqn3ArJjAS5FZ/Jj0mZFp0yvLPg77/w3V459FNXt5dCE8QymgOzQOjBWdDdWdDeyo7DP19eXRqPV19fbim7X1dV12qLb58+fDw8Pf/LJJ0NCQtauXWv3mOXLl/v7+w8ZMiQiImLr1q1OiqR9anOUPikihBBLwoh5PujW5gqzGiM7qE6MuHTobYKwpg7+EmqReCYKlR4U83T/8X9lDl9VX31x3/rM3CPva5VFZMcFHI9Go6WlpR07dqfBeuzYse7dSa6V4awW4axZs9566625c+fm5ub26tXrmWee8fX1bX7An3/++cUXX5w7dy4mJgbHcZVK5aRI2sGixTQlhrgXQ2yb4hi+rIfk1saypFfDKTT4mna8aycWqRvy+4zeDnOugdQ/NeuJNQZtdWHuxiPbnpH4JUelTPML7Qu/kDqQn3/+uaysrL6+fteuXbdv3540aVJgYOC6des2bNhgW3TizTfffP3119lsdklJyb///rtixQpyA3ZKizAvL+/atWvTpk1DCCUnJ6enp98/KGjlypVvvvlmdHS00Wik0WhSqRs9hKu7rJImCGjMuzcneLAvnUcr3VtDYlSdVf7FNdVFB3qN3Ayz5kETDl+W2Ovd4VMvBEaPuHr80wOb+hZf3YJjRrLjAm2i0WgaGxtfeumlgICAxsZGDMMQQl27dm0qLjp27Ng1a9bs27evsrLyxIkTAQEkL2zplBZhSUmJTCZrKigQFRVVWtpyhPTNmzdjYmKioqK0Wm1iYuKWLVtkMpndsxEEUVlZefHiRdumWCyOjIx0RthNai+pggf73LOLgiKfC7i8tDBshD/8MHWgsps7CnLW9R33B5MtITsW4HZodFZYwoSwhAl1lecKL6+7duKzkC6jY9Jnc/j2vyuAm7BbdDszMzMzM7Npc+TIkSNHjnRhUA/ilESo1Wo5nLu/7rlcrlqtbnFMfX39xYsXr1y5wmazX3jhhXnz5v3yyy92z2a1Wnfs2HHixAnbZnZ29qJFi5reNZvNBEFYLBZHBW9WYvpaEz0AabXae96gIxqXqrjdwA1kOupaHZpOpyMIgkJp/+8CRemhGyc+znxyq5Uianm3Qet0Ot3j3PaOiC2KT+i7NFxdUnp108Ef+/uGDgxNekkgjXNxGG575wnCI6Y7EwTRji8KLpdLpT6k79MpidDX17exsbFps6GhITo6usUxfn5+EydOtLUap02b9oD1OGg02uuvvz5//ny779oSIYvFckTgCCFUfqbWJ0UkENkZseaVIDSWYr6xbtSLSy4ej9fu74XaitM3Trzfa+RWiV+iY6Pq9AiCeMBI7E6Mz0/0DVhiNv63+OqPl/ZPF3nFxqTN8g3t67IA3PbOu2d6djgKheKk+++UZ4Tx8fGNjY0lJSW2zbNnz6akpLQ4JiUlpamZqFKp3OevV+0llU+K2O5bkji+8hY0XBxAqbh2ds+MrCfWSPy6kh0L6GCYbFFsxmvDXz4XFDsy9+jCQ1sGlV7fBo8P3Y1OpysqKtLpdK0doNFo9u3bd/r0aavV6srA7HJKIvTy8ho/fvzs2bMvXrz43//+12q12hYmPnDgQL9+/WzHzJ0799tvv7XdiIULF9rK7ZBOV2XETbgwzP7kUFEETy83YXrcxVF1Mkat/NQfk1MG/s8nuBfZsYCOikpjhCWMHzz538Ts9yryd+9dl5Z79ANNQwHZcQGEEMrOzpZKpTExMQcOHLB7wO3bt+Pi4lauXDlr1qyhQ4eazWYXR9iCs+YRrlq1KjExce7cuaWlpQcPHrRVFpdKpd263Znj2a9fv2+++Wb58uULFy6cMWPGe++956RIHkltjsonVdzacBgKjSKM5CpvQ6Ow/XDMeOrPlyKSpwRGPUF2LKAToPiHDeg1csuA5/fR6dxjv40+tv25irw/rFaHDRoA7bBs2bL6+vqYmJjWDvjkk0/Gjh27Z8+ec+fOyeXyTltrlMfjffHFFy12pqenp6enN22OGjXK7godpCFQXY6qy9SQBxwiiRU03tJ6d3OvOjgdB3HxwH/4koi4zNfJjgR0KlxhcEKvd7r0eLO6cH/h5Q1Xji2M6PpieNJEFteb7NA8UUZGxoMP2LVr15EjRxBCTCZzzJgxu3btmjCBzPLCUGv0Lk2Znsqk8mTsBxwj6cIvP6RABMzubY9b51boVCV9xuyE2wecgUplBEY/GRj9pKruZuHl9Qc2ZcsihkSlzBD7etyArGptTZ6rOoozZCk8xiPUGm1sbNTpdCEhd5ocISEh+/btc05obQWJ8C5dlVEY9pA53WwvJo1F1VUbeQEPypfgflWF+4pyNw2Y8DeNDrcOOJfIu0vqoC8Ts/9bcu2nU39OEXnFxWbO9Q7MfPgnO4tqbc3h0hOuuVaid9wjJUKTyYQQYjDulJFiMBhGI8ljnSAR3mVWYUzRw0t8SeIEjbc0kAgfiaruxqWDb/UatZXNJ7m6LvAcTLY4Jn12VMr0spvbLx54g83zi8ua6xfaj+y4XCHVv2uqv5sOyfbx8aHRaHV1dbai27W1ta1VU3EZWO7kLpPK0rZEyG+ESRSPwmJSn9k9Lbn/JxK/ZLJjAR6HSmOEJT4/5MXjEcmTrx775J8tg4qvbsUserLj8lw0Gi0rK+vw4cO2zSNHjvTqRfIAcmgR3mVWWVjihydCURTv1uZyzIjT2TQXRNUJXDz4pl9ov+BYdxoYBTwMhUILjh0VHDtSUXqsMHfjtROfhXR5LqLrFIE0iuzQOqHvv/++qKhIoVBs3rz57Nmzs2bNCg0NXbNmzdq1a23FMt9+++3p06fTaLTi4uKTJ09+99135AYMifAukxJjih5+Q6gMqiCUq8rXeSUJXRBVR1d4eb1eXZ45fBXZgQCAEKL4hvb1De1r0FQVXd187LfRQq+YyOSXZJFDKBT4XeswAoFAIpG8/fbbtk3b9LnMzMymxXhHjhzJ5XJ37NghFApPnz7t5+dHWqwIIUiEzbWxRYhsvaN5WkiED9VYk3vz7Nf9x/9FpUGBVuBGOIKAhJ7zu2T9p7JgT/6lNZeP/Dei6+TwRJhu4Rh250KkpqampqY2bQ4ZMmTIkCEuDOpB4BnhHbjZasUJOqdNvwolcQKotfZQFpP67J5XUgd+wROFkh0LAHZQaYzg2JF9x/7R65kf9eryA5uyz+99tb76AtlxAVeDRHiHWWlhtWGkjA3Xj0UQhEFhcmpIHRxxYf9cWcSQgKjhZEcCwEOIfBJSB3057OVzEr9uF/bP/Wfr4OJrMKDGg0AivMOkatMDwiaSOAGMHX2AgkvrjDpFUu/3yQ4EgLZisIRRqdOHvngiKfu/8qJDe9elXzm20KCpIjuuDqyuru7ixYutTRMsKCjYvn17Tk6Oi6O6HyTCO8yqR2gRojuTKDTOi6dDa6zJvXV+RdaINVTaI9xSANwDxTe0b4+nNwycdJCCqIe2DLp4YB6U824Hq9U6atSo9PT0srKy+9/duHFjz549//jjj5EjR/73v/91fXjNQSK8w6S0MNs2UsZGFMVTl+gJq0esh/lILGbNub9npQxYzBUGkx0LAO3HFQQm9flg6EuneaLQo9ufPbN7qqr2CtlBdSRff/118+LSzZnN5nfeeefnn3/esmXL0aNHly5dWlVFZssbEuEdj9oipHNoLBFDXw2PCVvKOTTfN7RPYPQIsgMBwAGYbFFc1hvDp571Ce555d83jmx7uuL2bsKKkR2XuysuLv7hhx8+/PBDu++eOXPGarUOGDAAIRQWFpaenr5nzx7XBngPmD5xh1mFiWMe7W4Iw7nqYj0vEGqt3VV8bauq7uaA5/eSHQgAjkSjcyK7TfWJGK2rO1uQsz736AfhiROjUqYy2RKyQ7PPoDCpCltdFNexvLuJWoy3JwhixowZS5cubW3F9crKyqCgIArlTvH94ODgyspKpwfaOkiEd5iUbZ1E2EQQxlXe1smypU4KqcNR19++fuLzvmN3QVlt0ClRKFRZxBBZxBCl4lpBztr9G3oGxY6MSpkmkESSHVpLFh2urXBRJWtpghDdu1rB6tWrg4KChgwZgmH2m84Wi4VGu5s76XQ6uWvzQiK8o42FRpsThnPL9iucFE+Hg2Omc3tnJ/b+r0AaTXYsADiX2Dcxfehyk76u5Povx38bI5BGR6VMlUUMdp/1xYThXGH4I6wI4ViLFi3q0aPHK6+8YrVaEUIffPDB66+/3rNnz6YDZDJZbW1t06ZCoWjtaaJrwDNChBAicAI34Az+o9VY4nizrBbCpIS1sBFC6MqxD4VesWEJ48kOBAAXYXG9YzPmDHv5THDcyOsn/3do88DyvN8Jwkp2XORbtGjR4MGD09LS0tLSEEIJCQleXl4IIYvFYmsjpqWlKRSKgoIChJBerz916lTv3r1JDBhahAghZFZjDAGdQn3EX3MUJAjlaEr0LI9fsL66cH9NyZGBkw6SHQgArkalMcMSJoQlTKgpOXzz7LKbZ76Ky5oXHPuMJxcvnTx5su0FhmGzZs0aN25cTEwMQmjMmDFxcXGLFy+WSqWvvPLK2LFjZ8+e/dtvv/Xq1atbt24kBgyJECHbA8JH7Be1EYbz1CV6b89OhEad4tI/87s/uZbBFJAdCwCk8Qvr7xfWX1F27OaZpTfPfBWXOTck7lkK1aO/Y6lU6uLFi72971RwnTp1qlR6Z1DFV199tXnz5gsXLowYMWL69OnkxYgQJEIbs+rRJhE2EYZzi36vdng8HQpx4cAb4UmTvAIyyI4EAPL5hvTxDelTW3Hq5pllN898FZvxWmj8OI+tLEGlUufPn9+0+dRTTzV/a8qUKVOmTCEjrpbgGSFCCJlUFtaj1Fdrwg/mGGpMuMlznwoU5KwzGxrjsuaSHQgAbsQnqGef0dszhq+qLjqwd3163vlvcMxAdlCgVZAIEULIrMQedcioDZVO4QawteUe+ldcXXfr1tnlWSPWUKke+oMXgAfwkqX3fObHXiO3NMpz9v3Q/eaZr0z6OrKDAnZAIkTI1iJsV9cosk2rL/HEKvVW3Hx+/2tJfT6AVZYAeACxb1L3p9b3Hfu72ag8sCn7/L7XVHU3yA7KRSorKw8dOqTX2/+GvHr16saNG0+dOuXiqO4HiRAh2zPCdrUIEULCMK662BMTYf75LwWSyND4sWQHAkAHwBeHJ/f7ZOhLpwXSqJO7Jh7fMa6qYG/nLtWGYdjo0aMHDx5cUVFx/7tr1qwZPHjwmTNnJk+e/Oabb7o+vOYgESJkq7jdrmeECCFhOFdTokceVny7tvykvGhvtwGLyQ4EgI6EyZbEZc4d9vK5sMTx+Ze+27s+4+aZrwxaOdlxOcWSJUv69u1r9y2TyfT+++9v3759zZo1R48eXb16dXl5uYvDaw4SIUIEsmgwprCdLUIGn07n0fQ1HlR922JSXzjwRkKfRUy2mOxYAOh4qDRGcOyovmN/z372F5Oh4dDmAWd2T62vvkB2XI6Ul5f3yy+/tLa+0pkzZ2g0WnZ2NkIoMDAwMzPz77//dm2A94DpE8isxWgcGpXe/tpIwjCuuljH9Wc5MCp3lnv0A/+wAd5BZFaCAKATEHrFduv/WWL2grIb28/vncMVBMRmvOYX1u/xS7VpGgrqKs84IsaHC4p5msESNt9jtVqnT5++bNkyNtt+2eHKysqAgICmotuBgYHkLsMEifCRF2C6n228jH8Pj6i+XVW4r77y3MBJh4wePGkEAAeiM7gRyVPCkyZW5O++evzTayc+i8mYExTz1OPUpjEZGhprch0Y5APIIga3SITLly+Pj48fMGBAa0W3cRynUu/2R9JoNIuFzFqVkAgf6wGhjTCMW3HYI0ZFm/R1Of+80/3JtXQGF5m0ZIcDQOdBodKDY0cFx46UF/+bd37l9ZOLo9NeCUsYT6NzHv7h+3gHZnoHZjo8yDZasmRJnz59HqnodmYmadEiSIQIIbMSa/fcCRuuPxvT42YNxhR08vuZ8++7oQnjoIgMAE5D8Q8f6B8+UKm4mn/p+5tnlkV0nRzZ7WUWpyN1OK1Zs8ZkMiGEcBxft25dz549AwICEEIajYZGo3G53IyMjPr6+lu3bsXFxWm12pMnT3755ZckBtzJv7jboh0LMLVEQYJQrqZE75UkfPjBHVbpjV+1yuLM4d+SHQgAnZ/YNylj2EptY9Hti98e2NgrKObpqJTpAmkU2XG1ydNPP217gWHYhAkThg0bFhYWhhB64YUXbEW3RSLRnDlzxowZM23atF27dg0ePDgxMZHEgCERIrPKIo62v4xy2wnDuOpOnQjNRuXV45/0fvYXj62aCIDr8SURqYO+TOg5v+jKj8d+Gy3yiY9OneEX2td9Fj58MCqV+t133/n5+dk2Z8+eLRbfGWr++eefp6enX7hwYdKkSaRXHIVEiMwq7DGfESKEhOHc0r9rHBKPe7px6ougmKdFPglkBwKAx2Fxfbp0fzM247XyvD+unViUe+SDuKw3gmNHUijuPv+NSqXOmDGjaXPIkCFNrykUyujRo0ePHk1GXC25+310AZOy/fXVmghCOLoqo9XcOQdSqupuVuT/Fd/jbbIDAcBzUWnM0PgxAyceSBmwqCh346HN/Svz/0KeVsvDOSARIrP6sZ8RIkRlUrn+LE0nrb6de+SDLt3/A9PnAXAHPsHZ/cb92bXPwrzzq/7ZMri6cD/ZEXV4nt41ihlwCoVCYzngB4EwnKcu1osieY9/KrdSmb/HbGiI6PoC2YEAAO7yC+vvF9avuvDAjTNfGbRutyqqWq3+888/zWbziBEjmp4RNjEajSdOnGjajIqKso2mIYunJ0Kz0sIUO+YmCMO58rONDjmV+8Ax09XjH6cNXvo4c3sBAM5BkUUOlUUOZS2OJzuSe9TX12dkZHTr1k0sFs+fP//kyZMxMTHND6itrR02bNizzz5r25wwYQIkQjKZVI87ibCJMIKbv60SER1lPFeb5F9cLfbt6hPci+xAAACtotKYZIdwj++++y4uLm7nzp0IoeaNdVUAACAASURBVNdff33JkiVr165tcQyLxfr111/JiM4OJybC3bt3b926lc1mz5o1Kysrq8W7hYWFzW/NxIkTk5KSnBdMax5nAaYWGHw6g0/XyY08mf3yeh2OQVtdkLN2wPP7yA4EANCR7N27d/LkybbXI0eObHrdnNVq3bNnD4PBSEtL8/Lycm2ALTkrEe7du/ell1765ptvGhoahgwZcv78+RZN49LS0h9//HHu3Lm2TSaTnF80JuXjFhptThjBVRfrO00ivHr804jkF7nCYLIDAQA8misq1d5qF03omhYR5nXvF7itprbtdWBgoFwux3GcRrvn8UpwcPDGjRsVCsXVq1d/+umnYcOGuSZau5yVCJctW7ZgwYLx48cjhC5fvvztt99+/fXXLY7x8/ObP3++kwJoI7PKwg9uTyk/u4RhXGWBTtazIxVDak199YW6yjNpg8msewQAaB8Tbm10VRlrnGg5hYMgiKaVJSgUCkEQxL3HBAUF3b592/b6m2++mT59OrnrETorEZ47d27RokW217179169evX9x9TU1MyZM0coFI4cOZKsiqsmFSZNdGSLsOyAwlFnIxVx5ciHib3ea1/BXwAAuTKkkgyphKyry2Sympo77dGamhpfX186/Z5c05QmEULPPvvsa6+91tjYKJGQFrBTEqHBYFCpVFLpnYaRt7d3dXXL0b0SiWTixImxsbEFBQUDBw5ct27duHHj7J4Nx/G1a9fu339nrkxWVtaCBQua3jWbzQRBtHsJD2OjCWdatFoHLaTARrjZ2lCpfPxSNeSqKvgTx3Fp8JAH3BmdTtf8dx9wGZ1OB7edFG5754n72mTkGjRokO3pGEJo7969AwcOtO2vrq4Wi8Uczj0/r8+ePSsWi5tKrz0AQRDt+K7mcrnNl3yyyynf1ywWi06n26qPI4QMBgOf37KYZ0pKSkpKiu11cHDwZ5991loipFKp/fv3b3rXx8en+dlsiZDFaueiuBY1LpGJ6DyHzQ0QRfDwGgo/8HGLl5IIxwyFF5ZmjljD5wsefCSPx3PP74XOjSCI+/9BARdw2zvvbv8MZ86cmZqaOnPmTIlEsnr16qNHj9r2Z2RkLFu2bMyYMcuWLTt79mx8fHx1dfVPP/20ZMmStvwRKBSKk+6/UxIhlUoNCAgoLS3t0qULQqi0tDQoKOgBx8fHxze1o+9HoVCioqIGDRrk8DitFqvVQtC5jpwhJwznqkt0PqkiB57TxW5f+NYrINNLlk52IACADikgICAnJ+eXX34xmUwXLlyIirqzaMbKlSvT0tIQQuPGjROJROXl5QkJCadPn46PJ3kepLN68MaMGbNhw4Zhw4ZZLJatW7fOnj0bIYTj+KZNm0aNGiWRSCorKwMDAxFCGIZt2LCBlGeEJiXGFNEdO+1PGM5TXFA68oyuZdDKCy//MOB5KNoEAGg/mUw2b968FjtHjRplexEQEPDyyy+7PKhWOavW6Ntvv339+vXMzMyuXbtKpdKJEycihEwm09SpU8vKyhBCH3/8cUhISJ8+fcLDw69du7Z8+XInRfIAZpUj507Y8IPYxnozZsAde1qXuXbis/Cuk7nCB7XgAQCgM3FWi9DPzy83NzcnJ4fNZjetuMjlcuVyuW3u5HfffZefn69QKPz9/cPDwx/6MNMZzGqMKXTwHaDQKPxgjqbUIIlzx2cJD9Ygz6ktPznkxeNkBwIAAK7jxMGNNBotPb3lc6bm1Vejo6Ojo6OdF8BDYXrcsQ8IbYQRPHWxriMmwqvHFib0eofO6Gx1wwEALlZXV7djxw6z2fzMM8+EhIS0eFev1+/Zs6dpMzEx0TaghCwde5T/Y8KMOJ3jhEQYxq34t9bhp3U2efEhi0kT0sUt1skEAHRcCoUiLS2tX79+YrG4W7duJ06caDEcpr6+fsKECU1Ft+l0OiRC0uAGnM5z/B0QhnG15QYCJyg09xrT/AAEYb1+cnFCz/nuv+Y1AMDNrVmzJi0tbfPmzQghJpO5ZMmSDRs2tDjGrYpue/S3HmbA6RzH3wEam8r2ZmorOtIivZW3d1PpbFnkULIDAQB0ePv373/qqadsr5966qmmcijNWa3WX3/9ddeuXQ+YO+cyHt0ixAxWZ3SNItsivUV6QSjXGSd3OILAb5z5MmXA52QHAgBwDKxYYTlf4JprsYelUIT3FIupqqqSyWS21wEBATU1NRiGtaiy1qVLl71798rl8ilTpmzZsuXpp592TbR2eXYiNOI0tpMSIbfusirQGad2gtLr2zj8AJ/gbLIDAQA4BoVOo/BctQwOteUzIFuhbdtrWyHGFoVjgoODL126ZHu9du3amTNnQiIkDW50StcoQkgUwS3aVd0hFum14uabZ5ZmjfiO7EAAAA5DC/aiBZO2yJ9MJpPL5bbXcrnc19e3xRpMzY0YMWLGjBkNDQ1N5aldz7OfEeqd1TXKFDFoLKqh1uSMkztW0ZVNYt8kqSyN7EAAAJ3EkCFD/vrrL9vr3bt3DxkyxPa6qKjIVjW7eZXw48ePS6VSEpeeQB7eIsSMOM05iRAhJIzgqgp1HN92VgN3Dcyiyzu/qvezv5AdCACg85g5c2ZaWtrkyZPFYvGWLVuOH79To6NPnz62ottfffXV8ePHY2JiFArFzp07V61aRW7dcI9OhLjBKfMIbUQRPFWBzr+HWy/SW3BprW9IttA7juxAAACdh5+f3+XLl3fu3Gk2m3Nzc4ODg237161b17VrV4TQlClTQkJCysrK4uLiPvjgg8jISFLj9eBEaLVYEUJUurN+hggjeG6+SK/FrCnIWdt//J6HHwoAAI/C29t7xowZLXYOGzbM9sLHx2fs2LEuD6pVnvuMEDNandcvihDi+DAJnDA1tnPFYBcourzBL2wATxxGdiAAAEAmz02ETu0XtRGG89RFOqdeot1wzFBweX1c5utkBwIAACTz3ETopLIyzQkjuKoivVMv0W7FV7Z4BWQKpGQWPQcAAHfgyYnQWXMnmogi3LRFaMXNty+ujsucS3YgAABAPs9NhLjTyso04QWwzWrMosWcepV2KL3xq8gnXuybSHYgAABAPs9NhJjznxEiChKEcdXF7tU7SlixvPPfQHMQAABsPHf6hAueESKERBFcdZHOK0no7Au1XXne71xhkFdABtmBAAAcg81mL1++3NfXl+xAHhNBEFZEEIhCpVAoLQpU6vVObFF4ciK0OrtrFCEkjOQV7ap29lXajiCst86t6Nb/M7IDAQA4zI8//rhr1y6yo3AMzKJrrMltlOdSqFSJXzexbyKFyiYIQiKRfPXVV066qOcmQtyIs0QMZ19FEMwx1Jpwk5XGcote6KqCvxksoW9Ib7IDAQA4TExMzPz588mOwrGIuspzJdd/rirY5hXQPSRhUnD0YOddzC2+nUmBGawu6Bql0Cj8II6mxE0eExK3zi2Hp4MAALdH8Q7MSh/y9RPTLvqHD7p56rN/fxpeVbgPIeLhH310npwInVhxuzlhBE/lHpMoqgr3I4RkEYPIDgQAANqEzuSHxI/vM25vl+7z8s6tOPjjgNIb2wkCd/BVml799NNPc+bMeegHGhoaHBsBWVxQWcZGFMEtP1jrggs9DHHzzNIu3d/sAGskAgDAPSiyiCGyiCHykn9vn1/lE9yTK3Dkwud3E2FMTExTjVQMw9avX0+n04cPHy6TyRQKxT///FNXVzd9+nQHXptcmBGns13RIBaEcbUVBitGOK/Ad1tUFx5AhDUgciiJMQAAwOPwDxvgHzbA4ae9mwjT09PT09Ntr1999dWsrKydO3dyuVzbHovFMm3atJKSEodHQBbM4Nyi201oTCrHj6UtNwjDuS64XGtunv0amoMAAHA/O6NGDQbD+vXrjx8/3pQFEUIMBmPRokVBQUHl5eVNi0t1aC7rGkX/V2uNxERYXXQAx4wyaA4CAMB97PQNKpVKk8l0/3rBtj01NTWuiMvJCCthxQga00VjhUivvn3zzLL4nm9TKJ47NgoAAFpj55vR19fX39//ww8/NBqNTTsxDHv//fc5HE5sbKwLw3MW3GClsaku6yYUhfM0xXrC6pSBvw8lLz6EY4aAyGGkXB0AANycna5RGo22cuXK8ePHh4aGDh8+3N/fv66u7tChQ6WlpatWrRIIBK6P0uFcUWi0GTqPxpIytBVGQQjHZRdtcvPM0vge0BwEAAD77FeWGT169IkTJ7744otjx45VVlb6+fklJSWtXbt28GAnzu13Jczo0kSIEBJF8VQFOtcnQnnxP5hFHxA13MXXBQCAjqLVEmvdu3ffuXOnK0NxJddU3G5OFMmTn2kMGuDtyosihGxzB6E5CAAArXnQ96PVai0pKbly5YrLonEZl82daCKK5KmLdQTu0seEirLjFrMmMHqEKy8KAAAdi/1EaLVaFy5cKJFIwsPDn3jiCdvO119/febMmS6MzYlcOXfChs6lsb2Y2gqDKy+ad35lbMYcaA4CAMAD2P+KXLhw4eeffz5jxoxFixY17Rw0aNDWrVvNZrOrYnMil5WVaU4UyVMVuK7oaGPNZU1jYXDsKJddEQAAOiI7yQDDsOXLl3/++edLlizp2bNn0/6UlBStVlteXu7C8JwFd8lihC2IoniqQtclwltnl8emv0qlOX2pKQAA6NDsJEKFQqFWq4cNazntTCwWo85SdNvF0ydsRJE8dYneNY8JNQ0F9VXnQxPGu+BaAADQodlJhAKBgEqlyuXyFvuvX7+OEPL393dFXE5GSiKkc2gcL6a23BWPCfPOr4hKnU5nkFndFAAAOgT7ibBXr14ff/yxTqdrKrSmVqvnz5/ftWvXzlFoFDPgNNdOn7ARRfFd0Dtq0FRVFx2KTH7J2RcCAIBOwP48wuXLl/ft2zcuLi4hIUGtVk+dOnXv3r0NDQ0HDx5s+6kbGhry8vIiIiL8/PwecJhGo6FQKHw+/9ECfzy40Up3+TNChJAoild1oj5ooI9Tr5J3/pvwpEkMltCpVwEAgM7BfqsoJSXlwoULvXv3Pn/+vEaj2bZtW2pq6smTJ3v37t3G8+7cuTM6OnrBggUJCQlr165t7bBbt275+vqOGuXqkY2kdI0ihISRXI2THxOa9HXleTujUqY67xIAANCZtFpZJiYm5qeffkII4ThOoz1azsAw7LXXXtu0adOTTz558eLFfv36jR07ViQStTjMarW+8sorI0eOrKura0foj4OsrlE6m8bxYWnKDcIwZz29y89ZGxz7LJv3oFY4AACAJvaTwfTp0/Py8myvm7Lg7du3x44d25aTnjhxAsfxESNGIITS0tIiIyP//vvv+w9bvnx5ampqjx492hP448ENVlJahOj/io466eQWs6bk6paY9FlOOj8AAHQ+9hPh7t276+vrW+ysr6/fvn17W05aXl4eFhbWNNAmLCysrKysxTHFxcXr1q375JNPHno2giAKCgoO/Z/c3Ny2xPDAMyLcbKWxyKm34tREWJS70S9sAFfYGQY0AQCAa7TaNXq/yspKLy+vthyp1+uZTGbTJpvN1uvvWZaWIIgZM2YsXry4LWNkrFbr4cOHCwsLbZtZWVmRkZFN75rNZoIgLBZLm/4MCCGEcKOVyqDo9K6b294czY9Ql+jUSg2V7uDlEK24OT9nffqwH7RarWPPbJdOpyMI4v4FnIGzNR/ODVwJ7jwpLBYLjuMYhrXv41wul0p9SLPnnkS4Z8+eTZs2IYRUKtX777/fPO2ZTKYTJ040LzTzAP7+/s3n3dfX17eYfXjgwIFbt27duHHjxo0bp06dKikp+eqrr9588027Z6PRaNOnT58/f77dd22JkMVitSUwG5PFQufSXDxO9S4+4vqxUSONH+7gx4RFV36U+iX7h6Q69rQPwOPx4HvB9QiCIO1vr2eDO08KWyJks9nOu8Q9iVClUhUVFSGEcByvrKxUqVRNb3E4nHHjxr333nttOWlqamp+fn5tba2Pj4/JZDp37tzixYubHxAQEDBx4sTGxkaEkF6vxzBMqVQ64E/TNmQNGW0ijuKpCnRChyZCgsDzL36XPvRrB54TAAA8wT2J8Pnnn3/++ecRQllZWatXr05NbWfbIjg4eNSoUZMnT547d+6PP/6YkpKSlpaGENq4ceOmTZsOHz6clJTUlBpXrFixe/futjwsdBTSE6Ewkld1tD54sCNnE1bc3s3m+XgFZDjwnAAA4Ans95yePXu23VnQ5ocffujevfv3338fEhLy+++/23bGxsY+/fTTLY5MT08fN27c41zrUeFGK83lS080J4rkacr0VrPVgee8feHb2Iw5DjwhAAB4CPuDZb788ksajTZv3rzmOzdt2lRQUNDGphuXy/3www9b7OzRo8f9kyV69uzZxkePjkJ6i5DGovKDOKpCnaSLwCEnrCk5TFgx//CBDjkbAAB4FDsNI4IgFi1adH9x7cjIyP/9739qtdolgTkR6YkQISSJ4zfmOWxsZ975b2Iy5iAE41YAAOCR2UmEdXV1jY2NXbt2bbE/KSnJYrGUlJS4Ii5nwgw4jexEKI4TNN5yTCJskOfoNRXBMS37nAEAALSFnURoGxBvG9LZnG1GhNXqyCdbpMANVtcvT98CP4CNG3FjvfnxT5V3bkV02kwK9RGmhAIAAGhiJx94e3uHhISsW7euxf5169ZxudzY2FiXBOZEmJH8rlFEQeJYB/SO6tXl9VXnwxImOCQoAADwQPabEe++++6sWbNUKtVLL70UEhJSXV29bdu2zZs3L1iwgMPhuDhEh8MNOI2MNZhakMQJ6nJUsp7SxzlJ8bWtIV2eo9GdONUUAAA6N/uJcObMmUql8tNPP22a+cBisd566637B4J2RJjBSidj6YkWJHH8wu1VVoxod601woqVXt+W/ew2xwYGAAAepdUHS++8887MmTNPnz5dW1srlUq7d+/u7e3tysicxx1GjSKE6Bwax4+lKdGLonjtO0N10UGeKEzoFePYwAAAwKM8aISFWCwePny4y0JxGczoFl2jyDaJ4pam3Ymw6Orm8KRJjg0JAAA8Tas9hDdv3pwzZ86AAQOys7Nte9auXdvGZZjcHG7A3aFrFN1JhO0cL6PXVDbKLwdGP+HYkAAAwNPYzwdHjhxJS0v7888/MQxrmjio0+neffdd14XmNJiRtFV5W+AHc8wqi1n1CGtINSm+uiU0fgyN3uHHLgEAALnsJ8JXX3118ODBt2/f/vjjj5t2Dh06tLCwsLq62lWxOQVutlJoFArNLYqwUKgUcUx7GoWEFSu9/ktY4vPOiAoAADyKnURYX19/48aNBQsWsNns5qvNBQcHI4Q6fCI04KTPpm9O3K5aa9VFB3miUKFXh5/TCQAApLOTEmwLATdfYt6mtrYWIfRIS+C6IczgLv2iNpI4gfK2lrASj/Sp4qtbwpNecFJIAADgUewkQl9f34CAgB07dqD/K7dms2HDBpFIFBPTsQfru8nciSZMAZ0lYWjKDG3/iF5T2SDPgWEyAADgEHamT1AolHffffeNN97Q6/UhISEYhh0/fnzbtm2rV6/++OOPGQyG66N0INxIfsXtFiRxAuUtrTCsrQvWF1/dEhI/GobJAACAQ9ifRzhnzhyNRvPpp5/q9XqEUJ8+fRgMxrx589555x3Xhud4mBtU3G5BEscv3i0PGebbloOtVkvp9V+gmgwAADhKqxPq33333ZkzZ546daqyslIqlfbq1Usmk7kyMifB3K9FKAzjGuvMZg3GFDx8BYnK/D18SSRUkwEAAEe52zbasGFDQkKC7fXbb79dWFgokUhGjBgxY8aM0aNHd44siO7MpnevREihUSRxgobrmrYcXJizPqrbVGeHBAAAnuNuImSxWBbLnZndmzdvrqmpISkk53KTitstSBMEDdfVDz1Mqbhq0MllkUNcEBIAAHiIu31xUVFRRUVFmzZtSkxMtFgseXl5dmdKpKWluTA8x8MMOFvqduN9JF34hdurcLOVxnxQks6/9H1k8ksUinu1aAEAoEO7mwgzMzPHjx//4osv2jZffvllux8giEeb8eZuMIPbPSNECNHZNH4IR3lb65UobO0Yk75OXnwwud/HrR0AAACgHe4ZnbFly5aPPvqorKzsueeeW7hwYXx8PFlhOQ/uDsvT2yNNEDRc1zwgERbmbgyKeYbJlrgyKgAA6PRaDlOMjIyMjIx87rnnhg4dGhvbCSt4ueH0CRuvRGH5wVrCSlCoduqgWq2Wkmtbe436yfWBAQBA52Z/vP7atWtdHIfLuGfXKEKIJWEwRXRNqUEYbmdmfUXenwJpjMi7i+sDAwCAzq3ViWuFhYV//fWXXC5v8VBw8eLFzo/Kidxw+kQTrwRhw3WN3URYeHl9XOZc14cEAACdnv1EuHr16rlz51osFl9fXz6f3/ytjp4IMbdZlfd+0kRB3paKsCf9WuxvqL5o1Nf5RwwiJSoAAOjc7CRCgiAWLFgwePDgDRs2+Pq2qe5XR0HgBEEgKsNNEyE/kGM1Ww21Jo7PPRNXCnLWR6VMg1kTAADgDHZSQm1tbWNj4wcffNDJsiBCCNO7b78oQghRkDRe0HDtnhIzRl1NTenhsITxZAUFAACdm51EKBaLBQKBVvvIq8W6P3dbg+l+0kRh/b211oqubA6KHclgtTqtAgAAwOOwkwiZTOb8+fMXL15sMDzCInkdAma00tz1AaGNKIqnrzZadLht0zZrIrLrFHKjAgCATsz+YBmlUnn58uWYmJi+ffvyeLzmb3333XcuCcwpcANOZ7t1i5BKp4hjeI03NL4ZYoRQ5e3dAmm00DuO7LgAAKDTsp8Ijx07JhQKEUKnT592bTzO5f5dowghaYKw/pralggLL2+IyXiV7IgAAKAzs58Iz5496+I4XAMzWmluWVamOWm8oGhXtdVsVStvGHRyWcRgsiMCAIDO7OErwXYmuNHdu0YRQnQujR/MabylLa5eG5n8IsyaAAAAp7qbCA0Gg0qlEggEPB6vtrYWx3G7H/D393dVbI7n/oNlbLyThfLLpdW6/V37LiQ7FgAA6OTuZoVffvlFJpOtWLECIZSYmChrBXmhOoD7D5ax8eoqqirfJot4AtaaAAAAZ7vbIuzTp8/GjRtt6+6uXLmy882dQAjhHaRFSOciPe/vaMEqsgMBAIDO724itC3AZHs9duxYkuJxLsyI01kdoEVYVbCPyw8wFwejnmSHAgAAnZ2zBssQBLF8+fJdu3aJxeK33347Ozu7xQFnzpz59ttvS0pK+Hz+8OHDZ8+eTaM5PUXhRrxDtAgLL6+PyZha/avGihFUup3lCQEAoEOzEoTWrFWbNWqTVmPWGDCjxqw1YWYjbtKZdQghE24242aEkNVqNeNmM2HRmnV6i8GAGZYPXiRmiRwYjLMS4erVq1evXr1+/fr8/PwRI0ZcvXo1JCSk+QF6vX7w4MFRUVEKheKtt97SaDTvvfeek4Jpghms7v+MUFV3U6ssDk56Un2iQpmnlSYIyI4IAADuoTSp6g2NSqNKZ9HrLHq9Ra+z6A0Woy176TEDbm053FJj1howg95iMGBGnUWvNeuETIGAxbf9l0vn8Jk8Np3ForEELD5CyIvKZNGZCCEcx6mIKuQIBEw+h87hMNgCJt9OTI/BWYlwxYoVn332WXZ2dnZ29v79+9evX//RRx81P2DAgAFNrwsKCg4dOuSkSJrDTTjN7RNhQc66yOSXqFSGV1dh3RUVJEIAgIsZMKNCV1tnaGgwNqpNGpVJozZpVCZ1naGhTl9fZ2jg0NleHImELeYyuDwGh8vg8hhcAYvvTWMyaUwOnU2ntkwufAaPy+BwGBwuncNlcPhMHgW1qbvLYrHgOM5ms53wB73DKYnQYDDk5eV1797dttm9e/d///33/sMwDFOpVMXFxdu2bZs6daozIml5RYOV7t4T6k2GhqqCv4e8eBIh5N1NVLZfQeAEhebq3lETjtQWpLEQCCExk8KiIZ5nzTgFwCNgVlyuq6nUVJerqyo0VZXaaoWutlZfjxNWP56PLdWJWEIRSxAiDBKxBD5cLy+O1IfrxaQxyY7dke5+vdXX18vl8oSEhMc/aU1NDUJIIrkz9F8qlcrl8vsPy83NHTt2rFwu79Gjx/jxrS4zhOP4ihUrtm3bZtvMzs5etGhR07tms5kgCIvF0pbAcCNuwA0mrfs+dSvKWe8bOsSCMy1aLaIglje9OrdWGGNnzXoHKtVRTtVSztRSz9dTa4xIbaFYCSRgEAI6QggpLchspegxJKATEQLUVWxNlhLJEiKCofchCArFfW9mZ6XT6eC2k6Jz3PlGo/JWY8HNhts3G/KLVCViliiA7x/A8w/g+SeHxPtyfXw4Xlw65wFnMBvMZmR2WcC2FiGGYe37OJfLpVIf0v65mwj//PPPL7/88vr16wihrKys1atXp6amtu/Ctjqler3eVrBbp9OJRHYebKalpRUWFppMptmzZ0+aNGn37t12z0alUp977rkpU+6swCAWi/n8ux3EtkTIYrHsfrY5K0YQBBKK3ben0Wq1VNz6udeoLU1/QL9UqS7fGJDq4A5xhBCB0OEqYsNt679VBEKolx+llx9lVhIliEcRMRDHXvtPaUa3VUROPZFTR2wrI643iOMk1AEyyoAAah8ZBZqMLkMQRPN/AsBlOsqdtxKEzqIzYkYTbtaYtQpdXZVWXqmprtRWV6irjJgpwSc23jt2eugLcV7RXMaDcp47cGnXKJ/P1+l0ttelpaVGo7HdJ5VIJAKBoLCw0MfHByFUWFjYYqRMcywWa/LkyaNHj27tAAqFEhgYaJvg+Dhwo7tX3K7M/0sgjRJ5xzft8eoqLDugiBod4MDeUYUBbcy3rsuzcmloehz1ozRqhKBNJxczUaYPJdPnzsFKtfaannu4Gn1xBR/7L9HNizIimPpsGCVG1OF/MgPgzhqNStsYS73FoLcYdBa9Ql9Xo1PIdYoaXa1cpGBLgwAAIABJREFUW2PGLXwmj0VnsWhMPpPny/UO4PtHSyP6hfQKEPjL+H5tfDjnOe4mwuTk5PLy8pkzZyYnJxsMhj/++OPatWv3f2DGjBkPPSmFQpkwYcLq1au7d+/e0NDw66+//vDDDwghtVq9evXqOXPm8Hi8a9eudenShUajmc3mrVu3trv12XaYwd0rbhdcWheXNbf5HpaYwfFhKfN1kjgH/A690kB8nmvdX2EdFUrd3JeW5ftY/xjoVNTLj5LtT3k/harH0Ika4s9S64C/rRImGhVGeTaM2s0L/rEB0E4WK1atranUVNtacnX6+npDY62+rtGo5DN5HDpHwOTbBp7wGFwfrleUJLxXUKY/z8+f58OmO7Hx1ClRCIJo2vjmm28+++wzu8/zmjQ//gGqq6tHjBih0WiUSuX48eNXrFhBoVBKSkrCw8OrqqpkMtn06dN/++03f3//6urqrl27btq0KTw83O6p3nnnHYlEMn/+fLvvtr1rVFthKPi1qtt/ItsSv+s11uSe3TNj6EunWlTZrjxSZ1CYosYGPs7JL9URn+RYz9Za30qiTYujChmPFytCCCGtVsvj8Vo8MrES6FwtsbPEurOEoFLQ2HDKuAhqkhQyoiNpNBqBwH17+Dsxp955nUWfV1+Q11Bwqz7/dkNhnaHBh+sVKJAFCWSB/ICmUSpSjoRx34DMzs0FXaOU+xObTqcLDw/fvHlzZmbm/R9oGgLTFrb58t7e3k17iGbDK9RqtUKh8PHxsfsEsYmjEqEyX1d+UJE02366Jd25v2dLZSlRKdNb7Dc1Wi4vK8xcGEuhtiedXKwjPrpkvVRP/L+u1OmxVLsP/9rHbiJs7lIdsa3I+msxwaGhcRHUqbGUIB5kRAeAREiWx7nzBCKURrXSpFIZVfWGRqVJZdtsNKqURlWDsbHRqIyWRMR6RcdJo2KkkTK+P53q1o9yXIac6RM8Hu+DDz5ITEx8pJxnV1hYWIs9zb83hUKhbViNa7jzM0KjVl5Tejhl4OL732JJGGwvhqpQJ45+tN5RixUtvIRvvE28143660AS5k+melNSvWmLM9E5BfFzkTVlFz4tlvpOMk3UqcZdA2CH0qTKqy8oV1dVaqsqNNWVmmq5VsFn8iRskZglknIkYrZIzBJGisMkbLGYLZKwxUECGZXi1s9uOjH7DYQ5c+YghCwWS2lpaUVFhUwmCw8PZzI79hcYZsTd9hlhYe7GkC6jGSz7Pwu8k0V1l9WPlAhLNMTEI7iAgS6MpMucO/niISgIZflSsnxpC7rRPs3BY7Zb/pNIm5tIdfvCBgA8AitBVGvl12pvXqm9cbX2Zp2+vot3TIgwMJAfkClLCxTIZHw/T+vS7EDs/48hCOLLL79ctGiRUqm07eHz+a+99trHH39Mp3fU/5e4u9ZXwzFT8bWf+o37vbUDvLuJLi8tjHxO1sbe0R9uW985hy9Mpc2Kb1d3qnP4sNHyHrRXulDfPW/97jfsvW7USVGQDkGHVKevL1SWFClLq7U11dqaal2NXKuQcsQJ3nFJPvGjYp6IEIdB864DsZ/Vvvrqq//3//7foEGDxo8f7+/vX1tb++effy5evNhoNC5dutTFIToK7q4twvJbO6T+3fjiiNYOYIkZbGmbekfrjGjWSTxfRRx5kh4vdp8keFe8mPLHYNoJObE4F3//Aj4rnjarC9UHxrgBN2YliHJ1RV5D4Y2aW2W6yoLGYiqFEikJjxCHhYtDegZlyHh+Mr5fJyu24lHsJEIcx//3v//Nnj171aq76+G9+OKLixYt+uijjxYuXOjKB3sOhBmtTIE7NmcLctY/dCX6tvSO/lVGvHICfz6SsqWfuy82le1P+cufflNJfH3NGrvdMiac+lYSNRomIAK3oTKpc2quXlHcuN1QWNBYJGGLY72iQnlB40MzI8XhXhxYMbtTsZMYFApFXV3dtGnTWuyfPn36ggUL8vPzH39uOylwI07zffjgUhdTlB0nCKtvSMtlqlrwTnlQ76jaguadxo9UE78MoPX27zDppIuY8l027dN02rc3rL12YyNCqO+ntHV2PwAOV29ozGsoyJFfuVRztVor7+obn+ybmB2UFSON5DN5CMbrdl52EiGHw0EI1dbWttivUCgQQlwuqUMvHgNmdMeK2wU566JTp6OHFXp4QO/o4Wri5WP40EBK7rN0viMmCLqYDxt9mEp9I5H69TVr1h/YyFDqf1OooXxIh8CJLLilWldTqZGXaypLVeWlqvISVTmNQouShqf4Jv0nc2acVzSN4t79KsBx7CRCsVicmZk5b968v/76q2mSe01NzezZs0NCQmJjY10bocPgRrdbg0mrLG6QX8oa8V1bDr6/d5RAaNFl6+qb1nW9acOCOnbmEDHRh6nU1xOoS6/habuwSdHUhak0MTxzAY6g0NeVqspLVRWl6vIydWWVprrRqPLn+8r4fkGCgBhp5JDw/uGiECELWnseyv4zs1WrVg0cODAmJiY9PT0gIEChUFy4cIEgiD/++OOhZbzdlhuuwVSQsz48aRKtbfWQWvSOqi1oyhG81kicf4bkCRIOJGGhT9JocxNo71/E43+zfJpOezGa6kYjX0EHYcLNN+ryLtdcy1Vcy2so4NI5oaLgUFFQlCS8f0h2gMDfl+sNozpBE/uJMD09/cqVK8uWLTt27Njly5f5fP6UKVPmzp3bpUsXF8fnQLgRp7nThHrMrC2/tXPQC/+08XiWmMGSMlSFenE077aKGHUQz/anbBtIZ3a6f87ebLS6F21GHPW1U/i3N6wre9J6PF5ZVOAhChqLTlacO1+dU9BYHCUJT/ZNeD7+uQSfOB6js/xUBM7R6ijK0NDQr7/+2pWhOBtmwN2qRVh8dat/WH8OX9b2j3gni+pyVf8yOLNO4ksyaZOj3eiP43ApXpTjT9E351tHH8KfCKZ8nkHzhlkW4D4m3HxVceNk5dmTFecZVHp2UNbLXSfGe8ey6W43Mg64LXecTuAkuMnqPs8ICcJamLsh84nVj/Qp72Thma+K3rL47B1KT/Xu/I0kCkKTo6kjw6gLL+IJOywLU2kz4qiOW5AKdEgas/ZWfX5BY3F+Y1FhY3G1tiZGGtkzKHNJ/w9DRcFkRwc6JE9JhISVsFoImnt0IxImQ9mp75mIxSqq1twqJiwmCqJwMwbSxD4P/uDycrqMRv8r3hTv3QGHh7aXkIGWdqe90oX6+in8+1vWb3rSevlBMvQsRsx4RXHjUs2VSzVXKtRVMdLIaElEliz1+fjnwkQhUJwaPCZPSYS4yUpjUUlejZIgTEXX9GcPGK6dLvArDOSmmCsKKEw2hcG0mgw1S15lx6by+z3LDImx++n3L+I7i4nt2SJmvhold4Blsh0rVkTZN5z+c6F13L/4kEDK5xk0P3dfWBs8rnJ15anK86cqz+fV58dKo1L9u76WNq2LVyxkPuBYnpIIMQOZ9dUIi1nz72/6cwcpTBY3awinZ0/ToTmxL39PaVaEV/jEFP2ZfQ0bP6OJvfn9nuUkdkf/96+dQGjeGfy4nDj6JJ2vF+UuL4p8tq11RzsTCkLPR1KfCqF+moMn7bC8k0x7LYHKcItGPnAYM26+WnvzbNXFU5XnDZixZ2DGuC4jU/26wjM/4Dyekghxo5WsNZisWmXd2oU0sY/0xfeYwdEIoUsH34roOplybyl6KpvL7/csv89Iw9WT2iO7lL+t4mYO5nUfSvUKeOUEfkNJ/PMEXcxEiM1kezEbb2ml8R4650nAQP/LpE2Npc47g6/Nsy7vQRsS6HG/CToZK0EUNBZdlOdekF++UZcXIQ7NlKV+0OutaGkEheRuHOAR2pQIVSoVQujBy+e6ObJm02OKirrv3+em9RcOewFRKP+fvfMOj6L4//jM7PXe79J7QkkPIaGE3kGqVAFFpdkQVFDsgr2hqF8soGL52UVFkd5CCSGFEEJCS693Kdfr7vz+uIgIIaRdGvt6eHguu7N7c5PLvHc+8ykAAKfdUH5p57i7jzZ9AULcmBRuTIqrutSctlv73mOFXD+FatzuhcMF/0SXqxMlNen1t60QugkXwz/HM/4sxQ8dJ6Ok8P1ByIeu+tvTKNSXZFWdzarOya7JlXIkCZqYmeFTXkp5ko52oOlkbiGEqampy5cvz8vLAwBERkZ+/PHHgwcP7pSOdTBdkl/NfiW37vOXRVOW8JPGXT1YlPutJmgsm3cLvxiG2k889f4PfRaXZ5x41rHHsPEzcuAY/uBJDIW3Mk5StLPaaSaZ/Nt9p2SyHxzjzXg9h4r71fVsHPFAP9qntLujtejSK7NPV2ZlVp/lMjjxmujh/oMfTVxBp7Gm6UKaE0KLxTJjxoylS5d+9dVXAIAff/xxxowZxcXFHE7Pi+cirZ29IrRkHmr4ZYt88Tp2eNw1h/GVs18lTtjckjtsOU9tu4xSFw3XcIe7dJXmE3/VbFrD8gnmD50i7euvy2rwGir3UOd7EGwCPBeH7gqBK4+Rn1+gPh5KJCppMexe2ElHdvXZU5WZ6ZXZDTZ9giZmgFfs8ri71XxVV3eNhgaAa4XQYDCcOHFi/PjxV49cuHBBpVK98sor7h/j4+N37Nhx4cKF6Ojozu5mu+nkFaE196T+963KB19jegVee7yqcD+DyZdp4m95hx+uUC9nU4enEBouAAAwFF7iO+4TTVxsPZNq+PsbDrNvVeVYWgivEiKCuycyvrxA3bHHtTgMvRhPcG+X7e/uS7mx8mRFxsmK0+e0+WGykESvuKcHrQ6ThSBIP6nQdC/+nS0oilq4cOHw4cPfffddPz8/AIC/v39JScmuXbsmTpwIAPjrr79KS0v9/f27rLPtoDPzq5H62oYf3pPf+9x1KggAuJz9eWjc9fWtbmRvOX7kBLl3IuO6mkSQweQljOTFDTMe/KXyL51uV6li4pgO7HmPBgJwTzia7I8ePk7G/eraOowON+wCzE5LZtWZ9Mrs9MosB+VM8oqfEjLuhaFr6W0/mu7Mv0IokUgKCgrWr1/fv3//9evXr1mzRiaTvfnmmzNnzoQQAgAwxps2bZJIJF3X27bTeStCjOu+flMwbDor8Pq8rOaGovqanOQ7tjV/g3P1eOEh1y9jGFGym8zjiBCOnq2uK6g+fhqUPiud+yghppeGjSg54LtRxC9F1Jz95NxguHEAwaOXhh4GA3yx7sqJ8vS0isxCfXGkou8Ar9hp4RNDJIFd3TUamhbxn0lCJpNt2bLlvvvue+CBB7788ssPPvhgxYoV06dPz8jIgBDGx8drNJqu6mg7Ia0kW9IZ2VgMe/4PQCgcPefGU5dzvgjsP59oNhzK5AR37iffGHjr1YzX6KAzudhH46x55xHFyleYmoB29bt3MTMQDfdCjxwnY35xfT6MGNpzihX3IOykI7Mq53j5qePl6RyCPcR34H0xd0Up+7IIunoWTQ+jiaflxMTEU6dOffXVV/Pnz09KSvrwww8nT57c+T3rWDpnRegoPGc+tlP1+Afghl0Q0mUtyftp5Py/mr/DslRyqBre3YJs2hwZi6tkk8Ezxb6Buo+fVT38FiGjXQ/+Rc4G34wkfium5hxwLY1Az8YRDDr0vt04KVd+7YXMqpzM6rPubC+DfBM3jd7oJ/Lp6q7R0LSdps1GEMLFixdPmTLlxRdfjIyMXLNmzfr161msHvyg1wl7hJTVVPf1m9K5jxAi2Y1nS87/LPdO5Iub22H9MI86V49PTm2pLU+dKKlJb+i7ZARlNWk/elK56m1CSPug/4dpAWiQCt17xDXkD9e3I4kQEb00bAv1tobUsrSjpSfPavP8RD7x6ugF/WZGq/pzW1ZKk4amm/Ofh+T6+np30cHAwMAZM2aUl5e/9957e/bs+f333+Pj4w8dOtRFnewAXDaKYHt2RdDw42ZO1GBO/+Qmz17J2R4Su6SZy9O1+IVM8ofRrXB3VMSK9ZfMTqNLMGQKb8Ao3ZanKauptd3u9ai44I/xjAUhaNDvrq8vUV3dnR4DickSQ9kP53c8tOfJRX88kFV9dlLImB+nb/tkwjsr4u5J8k6gVZCm1/CfSXfhwoU6ne7hhx/m8/n79u0bPXr0+fPnk5OT09PTt2zZMnPmzEmTJn3wwQc90V+GtJEeTbFmPvm3s6ZMteDxJs/qyk+SLqvKP+Vml9fbwdwD5MdDiQhxK5YsBBvJ+gu1WXrvYXLRhIWUqaH2842KZRsg4zaqTdESIACrItEwL7jgILmrFL+VRHjRPow3YHFaM6tzLtcXFulLi/WlZcYKOVcWr4leFDk7XhPDRLTTEU2v5d8vt9VqPXjwoFar5fP5AIC77757zJgxx44dmzp1KkEQDz744OzZs9euXZuXl9cTk8t4NOm2S1ep3/m58qE3b6ZAFzM+Do1bBm6SNREDcPdhcnoAnBnY6h6qB0ov/1LpPUwOAJDMerB2+6t1X70hv/tJQKfnv4E4OcyYztiYRcb8Qifs/pdifak72i+/9mJ/RZ8+8rChvkkL+s8KEPnSbi80twn/CiGbzWYwGOfPnx8wYAAAQK/XFxcXX7v4U6lUX3zxBca4C7rZbkgbxfBQZhmKrPv6DdG4BUxN0/t/Zn1JbUV64sQPb3aDTbmU1oZ/HtOWJ25xCB+T2HDFLArmAwhlC9fWbtug++wF+d3rIZsuU3Q9PAZ4JZFYEo5WnSS3FlCbBxOjvG/HXUMK43O6/KOlJ46UnqAwTvZOmN1narw6mkNbO2luS/6dfBFCL7zwwqBBgxISEjgcTnZ2dlJS0tChQ6+7APbErBDYXZ7eI8//hj3/h9hcQcrUmzW4mPlJUNRCxk0CijN0+LUzZNpURhtXJxD4jJCXHdD1C+YDACDBUNz3fP3PH2o/WCdf9iLtO9MkYWL413jGb8XU/UfJQSq4eTAhuz0q/Dgp15nq3COlJ1LLTkrY4mH+g14e/jQd7UdD859VyJo1a1JSUvbv32+1WletWjVt2jSEeoPxiHRQiAk9UcDPUXrRlLpT/fjmG+Ml3DgdxtL8X8Ys2t/kWaMTzD9IfjCYCBS2vW+qRGnJHq2p3Cbw4QAAAELS2Q8b9/+g3bRasXwjQ+Xb5jv3bqYFoHE+6JkMMuYX16cpxATfHviE1zLqbfqTFadPlKdnVJ0JEPml+CVvHvuaj9Crq/tFQ9NduN4cl5iYmJiY2CVd8RykjfSEyyh22Ou+el066wFCctNSEoU5X2mCRnMFTU86DxwjR3nB2UHt6htiQO9h8vKDuoiF/2qecPQcQijVbn5CtuQZdnD/9ty/F8NlgLeTiFmB+O7D5CAV/GgIIehFbkY1Ft2hkmOHio8VG0oHaGKH+AxcM3ClhN2Di6nR0HiI28ITzOWZqrwNv33CCuzLjRt2swaYcl3O3pZ8x2dNnv3yIpVVi9OndcCvwGuw7PTGApvOwVH8693AGzgWCSW12zbI73maHRrV/nfprQxWw4wZjEdPkHG/uraPIAapevbSUGetO1xy7GBxaomhPMUveUn0/Dh1NIN2nqKhuTm3hRB6ogaT/UKWPT9D9cRHzbQpv/gnX+wvVcfeeKpAj59IIw9OZnRIkQSCjTSDZOWHdSGzvK89zumbKL/7qdovXlYsf4nlF94B79RLETHBtmHEb8XUzL2uNVHE49EeMKN7mGJ9aWpZWmrZyTJj5RDfpMWRc+M1MbT+0dC0hNtCCF02isHtUNMoRTb8+rF4xgrEaS4e7WLWpxGJD9143EaC+QfIjQOI/tIOm2+9h8kzXr3oN1bFEv3nd8oOi5HNf7T20+cVD7x+M79WGjfTAlC8As47QB6twl8M7wEeNDaXLacmL7M6J7UszUE6hvgm3R+zKFYdSUBa/2hoWsFtIYSkjSTYHTk1mFJ3IoGEG9l0Ehk3tRXpdovWK3jsjacePk6Gi+GyPh2pzUwBQ5kgrkytDZikvu4Up3+yeJpFt+Vp5cNvMuQ9NW165+DHh4cmM55MJxN2uL4fRQzsfjV+SUzm6PLyr1zKqs65VF8YIQuN10Q/N+TxcFlIV3eNhqanclsIYceuCCmLybj3O8UDrzbf7GLmJ2Hxy+ENz+ZbC6jj1TitI7YGr8N3pDL7nUs+oxQ3RkzyEkZRVovuf08pH3m7yVSoNFdhIvB2EjFMQ03d43oqhngksluYSa0uW1pFxrGytJMVGRquKsk3YUn0gkhlXzYd805D025uCyHs2D1Cw67t3NiUG4vuXovFUKYrOz5g/Kbrjmfo8FPp5NE7GJ7wTmRLmdI+wqrj9b6jFDeeFQydQlmMui1PKx95C3H4Hf/2vYtpAShGBucfJPeUU9uGMdRdlJygUF+SUXkmvTLrrDavv7JPim/y8rh72C6mUCjsmg7R0PRGPCiETqczNTXVbrcPGzaMx2tiL02r1WZnZyOEEhISPJq/1NVx0fTOqmJL1hHN+k+bb3Yl50v/frMZzP/oTZ0dzNlPfjSkdQlFW4XPKMW5j4u8U2RNZg8TjZtPGerqvnxVsfQl0CsiRD1KoBAencLYmE3G/uL8NIUxxb8zVoYO0lFsKLtcX5RRdSajKptFsBI0MRNDRj839PGrRd6NRmMn9ISG5vbBU0JoMplGjBjBZDLFYvHKlStTU1N9fP5TsWzbtm1PPPFEfHw8SZI5OTk//fTTiBEjPNQZ0kZyZB1jQdLv+EQ0fgHiNfc8TpGOonPfj5iz4z8HMVh4yHVnELyzfVGDzcP34ggDeZWpdT4jm1gUAgAkM1fqPn1e//tn4unLPNeNXgMDgRfiiQm+aNEh8o8S+G5yx9e7d1HkWW1eZlVOob74SkOxzlLrK/QOlPjHqaOWRM/3FtB7ujQ0HsdTQrht2zYej3fo0CGE0D333PPmm29u2vQfO2FKSkpRUZHbwrNhw4a1a9eeOnXKQ51xWUmiI/YIrWePkw1a/uBJzTcrzf9Vqo4WSIOvPfhCJmlzgZcHeNydL3CyOmdzoTpJyuA19V4IyRatq3l3FUPle8sPQuMmWQXTpzNWHiOTf3f9OLpjFvQ6a11aRUZaRUZG1Rk/oc9A77ixgSOCJP4+Qi/a55OGppPxlBDu2LFj7ty57gxtCxYsWLp06XVCGBYWdvV1eHi4R609HZJxG5Mu/e9bJbMegMQtBu3ymS/6DfpPPaaDlfjzCzhjOqMTiqRzlWx5pLDsoC5w8vXuo24QT6BY+mLN+48zVL7s0GiPd6hXIGGB/xtJfJpPpfzh2jyYmBvcxl+k0WE6VHJsb+GhQn1JoiZ2iM/A1YkrpRw62wsNTVfiKSEsKyvz8/Nzv/b396+oqCBJkiCaUCOn07lp06a77rrrZrfCGJ85c+b77793/+jt7X1tHSiSJDHGJEk20xmX1QVZsPk2t8Rycjch92KGxTZ/n/rqLIe9QeE37GoziwssO4o3JwM5q51daCk+YxVn3rmiShazJU375EC5l2TBY3XbX5M9/BZD1rRe3hKSJEmS7JFJ2NvKvWEgQY7mHqT2l1ObkmDLQ3JsLntaZcb+4iNZ1WcHaGLvjJg60Cv+aoW/1n4t3CPfqktoOgR65LsE8h/adjlC6JbTlKeE0OFwMJmNszCTyXR/jBuFEGO8cuVKLpe7du3am92KoqizZ8/a7Xb3j/Hx8QkJCde+0S0rQzktJIVcV+/QNkxHfuNPufeWN7mYudW/7wKHw3n1yFOZRJIcjFOT7Xv/1sAG8nhByZ4a/2lN7xQCAEBgf3bK9LqtL4pXvApYbSm+Y7fbGQzGbSWEAIA+fJA6AT5wkhiyE3w91BUkaK5xg92QVpVxsvJ0jjYvQhY60nfI6rgVPAYXAEA5STto4x+2w+Fo55eZpm3QI98lOJ3O9jxzczicLhNCjUaj0+ncr7VarVwuZ7Gud1fBGD/yyCPnz5/fvXv3jWevQhDEwoUL161b1+RZBoOBMWazm8sCQjkwX8Ln8truL2O/lIMgEEUm3azKRGMza62u9GDCmFdZ/2ScOV6Nfy0hz85i8Do3TUnQBHbGqxfBKIKnvukb88bOqa+vsnz/jmLpi20o5EtRFI/Hu92EEADAA+CncWBTLjVyD3w+nljZF10XaWhwGA8UHd1XdLhIX5roFTcueOSzQx8XsDosZIUkySbdsGk8DT3yXYJbCDkcDxbL9NSe1dChQw8cOOB+feDAgSFDhrhfX7t6e+qpp44dO7Zz506BoNnn6nZDtjug3nRkhyBlWvMqCAAozPnaJ3QKi9MYCmInwdKj5ObBqPOTdTG4hM8IecnfNc03k975EGQw679/v3N61WuAAKyORMfuYPxaRCX+5jqtwwAAF0UeLz/13NHX5v+2LEebtyhyzq+ztj8/9InRgcM6UAVpaGg6HE+tCB944IH4+Pjg4GCxWPzGG2/s3LnTfdzf3/+dd96ZPXv2li1b3njjjWXLlr3++usAACaTuWHDBg91hrS1K6CerK+xX86VLbyp8dYNxmRh7tfJU7ZePfJ8JhklgzMDuyZiz3uYIuOVC8ZiizDg5s+wCMkWPan9aJ1h9zei8TfdpqVpkjAx3DuJ8dVFas7uvDhxqst+zE/oPSF41LrkR/g3qcNMQ0PTDfGUEAYHBx8/fnzbtm06nW7Xrl2DBg1yH1+/fn10dDQAoF+/fq+++m+WMgbDUz2hXBgAgBhtt+CZUv/gDxwLb7WRVnF5N0/oLVU3+mFm6PCXF6gzM7uswB1iQL9xqqKd1VEPBjXTDLLYiqUv1WxaTUiU/KRxnda9XkCJoWxf0eG9hYeThYQJp+S7Xl3ax7tz4u5paGg6EA9mlunXr99bb7113cGVK1e6XwwbNmzYsJtW8utA2rkcxE6HOW2PavX1ydJu5HL258ExS9yvHRS49wj5djKh6qLUXG7UAyXlB3UNF82SsOZMc4gvUizfqN38OCGWc/okNNOSBgBQaao+WJJ6oOhova1hVEDKCylrI2ShAID9FfiBY+S2C/C9QciPT8shDU2PoffnGnVZ25WTMnzLAAAgAElEQVRfzZJxkBXQlyFvusT8VQy1Bca6iz6hk90/vpxFBgjggpAuTmMGEfQfpyzZVS0JC26+JUPhJb9nvW7rBuUDrzK9m1tB3rZUm7WHS44dKE6tMtcM9x/80ID7o5X90TXbxqO9Yc5Mxus5VPyvridjiFX9USeEjdLQ0LSf3i+EpI1sTzS96ehv4qn337LZhdMfhsbeiwgmACC7Fm/Jp7JmdIuxVcZLyg7o6vNN0j638EhiBfWXzFxR+9kLqjXvIYEHU7/2LKrNNYdLjh8sOVZhrBrql7Q0dlGcOgrBpiWOTYDn4tCCEPjQcXL7RWrTIGKkF700pKHp7nSLydqjuGxkm11G7ZfOYpeLEx7XfDOrsaLyyr6YezcCAJwUWHKEfGMg4c3rHjMgBH5jlcW7qqURAnCrHvHiR7iqinVbX1I++DpkdNnuZnegzlq/v/jogeIjlabqob7J98csbHnB21AR/HsC4+dC6r4jZLwCvjkQBQm7x5eBhoamKXq/EJI2qs17hKajvwmGTb1l1ETB6Q+Dou5iskUAgJezSR8euDusGxnFFDHi0n3auvNGWb9b1+4RTVzs1L5a/8P7sgWPdULfuhs2l+1I6cm9RYfO6y4M9Uu+P6a59V/zzApCdwSg/+VRiTtcd4WiDQMI0W39aEFD033pRvO1h3DZyLbtEZINWvulHP6A0c03c9jqS/N/CY27HwCQU4c/yqM+HtrNkiZD4D9eVfJ3DbhFBh53Yyibv8ZZfsV48GePd6zbYCcdR0tPvJT65p2/3nuwOHVi8OifZ37xZPIjCZqYtqmgGxYCqyJRzixGvR30+8n1WQFFtuRXQEND07ncBitCaxszbptP/M1LGAnZt/D7vJj5sW/4VA5f7aLAvUfINwYSPt3PY1AeKSrdr63NNcijRLdsDFkcxf3P12xazVT7c/oldkL3ugon6TxZkXGwJDWtIiNCFjoqYOiqxOVi9q2HqFV48+D2EcRpHV53inz7LPVSAprtyVJcNDQ0raX3C6HLRhLc1gshRZnT9iiW3yLG3+UwFeZ8NWLeTgDAa2coFRfcE94t5zgI/MepinZWyyNFt9wpBAAQUpX8nqd1W1/qrU6kBbWXdl3Zv7/4SKg0aKT/0EcGLJWwPVsCYoAC7p/E2FWK16WTH5yj3hhIJKm63QMTDc3tSe8XQtJGsUSt/pi2/NOERM70Cmy+2ZWcL1UBIwSSoHP1+P1zZGb38BRtElk/YeneGl2OXhHTohmfFdRPOvtB3ZanFStfueU49BT0dsPuwoO7Lu+zuewTgkd/NnGTmq/szA5M9IPjfRnbL1J37icn+cHXEglpp6ffo6GhuY7uO3F3FKSNJFStnmzMx//iD5rYfBuKdFzM+mzItK8oDFYcIzcMIHy7n1H0WvzHqwt/q1REi1uyKAQAcGNSAACNWqgJ8GznPMzF+iu/FOw8UnpiqG/SqsTlMar+sIWj0NEgCO4JR7OD0YYsMvJn16uJaHF3cq2iobkN6f1C6LJRjFY6y5CGevuVXNmiputdXKXo3PcSZaREFflxPuWkwNKI7j6dSfsIyvYzqtLqNcnSFl7CjUkBFNb9b71i5atMjb9Hu+cJnKTzaNnJXwp21lh008Imfjv14w7fAmwbfAZ4LZGYG4yXHSW/uEBtGUqEd0ThexoamjZwGwihtdUp1sxpf3PjhjfvJoMxeTFjS8K4d6us4LkMcv8kBuoJ81jITK+zW4oUUSIGv6Vjwo0bhp123UdPKh98naH282j3Ogq93XCy/PTx8vTTVdnhspA5facP9U1qj/+nh4iTwxNTGe/kUkP+cN0XgdZF05ZSGpouoPcLYatrMGFsOblHds/65luVFvzG4SsVPgPnHyTvj0CR0p4ggwDwvDiKGFHx7pqQmbdIGvefqwaOxRSl3fK08uE321zRvhPQ2w37io4cKjl2ub4wQRMz2Cdx9cAVnvaCaScMBNZGo7tC4EtZVMSPzseiiEf6I27v/7ukoelG9P4/uNYm3bZdyIJcPssvrJk2GJP5J9+JG/3632X4tBZvS+lJwxgwUZ352kVNkpTv04pCl/zk8dhhq/3kWeWqdxDXs/UjW4uTcp0sT//7yoHsmtzBPgMX9r8zTh3FItpeh7nz8eHDj4cSa6LQ06epiB9dz8ejJeHX1/uloaHxED1pBm8bLivZqj1C84ldglu5yZTk/cTmKfheQx782bVlKNGznt8ZXMJ/ovryLxXRDwW3yl9EMGyaq7aq9rMXFStf6Q4J2Gqt9RlVZzKqsk+Unw6WBEwIHv3MkMe4DA+WsfY0EWL402jilBY/nkZuOU99NIRIVNJiSEPjcXrUFN4mWpVijTIb7AVZ0rmrmmtDOc+nvTtg/KYXM8nBajjWp+dNVZokafXJOm1mgzKhdcm1JdOX1X6+sf7bt2SLnvRQ35rHRZFZ1TknK05nVJ6ptdbHaaISNDH3Rt/VyVEQHmWgEh6ZwvixkJq21zXGG72dTCh7sLjT0PQAerkQYgpTLkywWroiNKft4UYPbt70V3zuB4EksIKb9OVFV07X1d1tFxCEzPLO21os6y9qXf45CGWL1mk/XGvY/Q0aOt1j/bseB+lIr8w+XHr8RHm6n9BnsO/AJwetCpeFdEP/l45idhAa64OePU1G/ex8eQBBW0ppaDxHLxdC0kYRbNRyA6A5bY9s/upmGlCksyD9/QETPpp2jNyQ0MV1d9uDwI8r7SMs3VcTOEXTqgshk6VY+lLNu4+y+BL+0Mke6p4bClPplVl7Cg+dKE8Pl4UM9x+8LGaRgif36Jt2HyQssHkwcW8EeuQEufkc9WYS0RPNDzQ03Z9eLoStyrhtv3wWQsgK7NtMm8Lcr4Wy8F8McS6Kuq/bBw42T+AUdeYbl5TxEr5360xviC+SL31Bu3mtXe3LCY/1RN8u1F3eU3hwf/FRL756XNCIRwYs7Sbxf51PnBwencLYV45XnyQ1PPDGQCK0J7kB0dD0AHq5EJI2itHiRKPmtD38QROau5vLXnBqc58J22YdIfdM7BmBg83AFDCCpmoKviqNXR2CWmw9brxW7c+bu7pu+2vKB1/rqARsGOALtZcPlx4/WnrCRZHjgkZ+MPY1H2Erwjx6MWN8YOYMxif51KS/XWM0zLcGA3WPtUbQ0HQ3erkQtjyanrJZbGdPSJotRl+Ys12qiX3pStSiUBAt6+EyCAAAQDVAUl9gKvyjKmSWd2uvZQT1l8xcqfv4GdWqdwipqs19cJCOs9rzx8tPHS09ySbYw/ySnxn8WLg8pKtSoHVbmAg82A8tDkPPn3JF/+J8IZ5Y3ofeOKSh6QB6uRCSLc6vZs08xI6IQ4KbBl+TLtuFjP9xh24/eAafm9V7xi30Tu/sdy7V5hrkka22PXLjhpF6ne7jZ5SPvIN4rQgupDB1oe5yRtWZjKozebqCEGlgknfCGyNfCBT3jMw1XYiQCV6Mdq2I5DxwjPysgNpCh1jQ0LSb3jOhNwnZ4hpM5rQ9ogkLm2lwOXur1GvA/ef6vDcICXqmr2iTEGwUcZffuc+KBT5ctrTVH0w4chbZoKvd9qJixa2DC52UK6sq53Dp8dTSNClXkqCJvrPPHbGq9TwmbeZrHeFiuHcS44sL1B17XPND0PpYOsSChqbt9HIhdFrIluRXc1YVk3odJyL+pg3shgsZWwqifwoxwukBPdtH5kYE/lzvFPnF78oiVwS1wR4pmb6s9otX6r95S7b4SQCbuN5JuU5VZB4qOXay/HSA2HeY36BFE+do+G23ptIAACAAS8LRHf7o+Uyyz4/OeSFoTSQKEdGrQ5ruCDbasNWOLXZscWCrA9sc2OLAlsYjlMUOrI7/tLc5sd2JbU5stWObE5CU9Zqz4veWIAm/A7vXy4XQ3uBkS27tY2c5uZs/cCxAN1W4i5kf831Hv3Y5OH1ab1NBN35jlPpLprKDWt9RrY9Mh1C28And/9Y37PhEMmP51cMUxjnac/sKDx8uPR4k9h8VkLIi7h45t6WFL2hagoIDPhxMPB9HvH+OHPS7a5Q3eiIaJShoOaTxLI0qZbJhsx2bbJTJis12bHEAksRWB6Awttix1UHpLdhgpYxWyGFCHhvyOZDLglwm5LIglw15bCjhI28Zg8+G3P9M1JDDhGwmZDMhj+0iAAkwh+NBo0dvF8I6h9DvFmY3TLosGQeVq9656U2sdZezP/9Es3N9LBEo7KVTDARh832z370sCuaLAnmtvprJki97SfvBWsPub0Tj77pUX7iv6PD+oiNClmBs0IjOr397u6Higo0DiCdjiM8KqBl7yRg5eCmBiJP30u8qTUeA7U5sdWCLAzic/x60OLDDhc02bLJTZhs229xHgNWBrQ7scGGbw30VZBKQy4J8NuRzoIADBRwk4EAuC3CYSCECCEIeG3KYSMSDYh4ScgCjdSWA/oPTCUiyAz7zzenlQmirdXJkt1gR2nJPMjQBDMVN3fQL0jfrFNMamP6r+vfO5aAbtoQZscA3/8vSmFXBbEmrNwsRh+dcvOrnn5478f3fTg5ndOCwN0Y+HyTp2eV8exYCJng0Ej3QD31xgbpjDxknBxsSiFhaDns3JIUtjkZ9sjux3eVeimGTDZts2GzDVgc22zFJYZsTuMhG/bM6IIEgjw25LMD+948d8liQyYACNuRzEJ+DvKSQywZsBuSyIIcF2QzIYUIuG/JYTW6C9Fx6uxDWO9iyW8zp5rTd/ORxN72DufpK7nevCvbumUB0oKu6k6JKLNYii6XQbC4yW0osVts1jzxOTLERIWYyREwmnyC4xH8eplgIBfJ5oQJBqIB/3al2IokQ+AyX520tjn44uBV56ZyWA8VHd13eX2GqGhGTfP+x9IThswQxzUVk0ngOFgLL+qCFoejDPGr8365xPuj5eBRK7x12Z1wkpbdgmxM4XdjiwE4S253ARWKHCwCAzXYAADbb3NZIYHNiq4My27DJ7j4I+WzIYUEuC7KZkMWAfDbksiCfA/lspBZDHhvy2RBByGUBBgHZTMhhQR4LEL35sb619GYhJO0UdmKmoLnPSOprHUX58nueuVmDcyfeSeXMX5fk3SFGUStJ/l5R+XVx6f4arYbDDuTzg/i8QB5vrFrJuUbSGBDaKcrgdOmdTrPLVe90XnsTO0kd0uoumkyFZouSzQoTCKLF4jipOE4i6SsSMtr3pOYzQmGtsV/4tqzv3f7NO85QGGdW5fxduP94eXqCJmZR5Jwk73gEkSu8XPvBWoLD58aktKcnNO2BxwBPRKMVfdF7udSQP1wTfdEzcbQcdhEkRRmtuN5MGSzYYG3cNjNYKb0Z6y1UgwXbnUjEhRwmYDEhjwUZBOQwAUFANgMAAPlsAADksZFMANlMwGFCHhvx2G6D5HVbazRtozcLoa3u1stBy6m9vLjhkNV0XXCLofTS+T9KQg+91b5sahTGh7S6r4pLfquoTJLJFgb4fZc8kN8eo/k/ty2xWC+aTFkN+l2V1a+cLyi1WCPFogFSaaJMmiiT9BEKidbrYsgs79wtRaV7a/zGNeHYWWooP1OTm119LqMqW8aVTQoZ/VDC/dfmP2MofeT3v6D7+FnEFbI9k4CNpoUImeCZOPRoJPowjxr0u2ukF9o4AIWLaTnsSKgGM1VnoupMuM6EbQ5sdWKLHbvXbQ1mrLdQRisScqGEh8Q8KOQiEQ/KBMwAJZLyoZiHxDwooGNfupjeLIT2ulttEGJsTtsju/umFYUOH3hjD/ue90e03dG/wen8vLD4f5cLBQzG3YH+r0VFqjlNi24bQBAG8nmBfN5YdWMPTS7XmQb96fqG/TU1r+UXVFhtcVLJcKVitEqZLJexb+4Wey2QgH0W+2VvusxVsRWxYgAABjinJm/X5X3plVkEImLVUQma6Hlh00OUQbApoWX5hcnvfaZ220b5PU+zQ6M66vPStA0BE6yLQSv7ofdyqaF/uEZ5o8ej0QDas/QmYIcLm+2NfiLOf42TAABsNtvsGNeZKL2FqjdR9WaqzoT4bCQTQLkQSQWQy4QCDlKLIZsJuSwk4bv1r5ftqPU+erUQ1juajxC3Xz4LWWyWX3iTZ2tqCmpKDk2cmKppU7R3doP+o8tXfiorn+yl2T4wIVkua8tdWomAwRiikA9RNNZn0Dudp+rqD2l163Jy8wzGQXLZKJVyrp9vIP8WfqFMIaPvEv9znxQ7RPbDttQ/L+9lQGJy6Li7o+Z5CdTuNiaTqZk7sIMj5fesr/3iZfm9z7CDIzvk09G0BxETPBuHVkWirQXUnfvIAAF4LApN8e+dSdqww9VoitRbKIMVW+z/apvlH1WzOTCJAQDA5sAkBRwu7CKx3QXdHo98NuSxIetf4yQAgKJILBdDuYAZpEIyAZLwoEwImR25T0/TJfRmIbTVOdnNrghNqX/wB0+6yUn8++9Plno/+mLYTZOu3YxUXe2GvPzzRuOK4KD8CWNV7A5bArYWMZM5Vq0aq1a9HNlP73Qe1up2V9UM3H8oSixaEhgw09ebdxNfG5PDfNx5Kr9fYf3HfXVj654atKq/ok9r350dGi1f/GTtto2K+55jBfVr96eh6QBETLA6Ej3cD/1USG3Iotaeoh7pjxaH9ZxkSSRF1ZmoejM227DZjs1uL3+720OSMtmw0YZNVkBhKOEjMQ+KeUjEhTx240KNx76qapDDggQEAAA2EzIIwGJABgHZjGYc/Y1GI1co7JwPStOZ9GYhtNc5hAE3Xc2R+lr7hWzpvKarD/546HuL3fLY1Hta9Y77a7Qb8/JLrdan+kQsDvBjtswU2TmImcyp3l5Tvb3eiY36o6Lyi6KSVdk5s3y9Z/p4D1cq3N6n9baGo6Unj5SeyNMVxGuiUwYm9w8KUeyThyUFt+1N2eGxskVra7dtkN/3PCuw1VJK4yEYCMwLQfNC0JEq/P456rkM5+Iw9GC/bpSYBjtJXGeiGsxUrZGqN1M6A1VjILV6qtaEJDwkFTRGsPHZiM9GGkmj54g7mk3IhZyeIuw03YLeLIS2OidHetMVofn4n7yEkYjThJGwQFtvPPNa0qTtIlZLjR6n6+tXZeXUOZzr+4bP9/drp+umR2EjdKevz52+PhVW2zclpa/lX5hz4lScmCN0FVv06SO9w6eEjts47CkOgwMAAMEA68G5LUVRDwW1vKDVtXAi4qULHqvd+iKthd2QYRo4TEMUm9BHeVTy767BarQmEg338uC3F5vtlNZA6gzYZAMuCtudgKIaY+AaLJTR6varBE4XlAqQlI9kQiTlEz4yZlwQUokJhbBdodk0NE3Ru4XQwZY3LYSYdJlP7FI++MaNpxwU+Oa3l0L970gKi27JuzgoauP5gk+uFL4RHbnQ3w91Ywm8Dm8u57Hw0CGC+m/OZ5zRk2ZhXD57GuUUxjFD2Ix/3dj8xqmcFvL85yX9lwUiRls+HafvAOmCNbrPXpAtWttMQleariJAAF8fSDwfT3x9iVqeSkrYYG00mh7Q1u1DClNGKzZaqXoz1luoq64ltUZKawAURkoRUoqQkAsYCLKZAELI5yCZAEb4/ONXyaUdKWk6k14rhKSdwi7M5Df98GjNOsL0Dmaomyj6s3HfyTDboXmTDrfkXXL1hrvTM9RsdsaYkT7cHlNCgcL4nC7/UEnqoZLjvgKveX3u2OybhCCiMP6zsvrl8wWrs3MeCg1ZFhzoNpkGT/PK/6q0YHtpn3v8YJtmR07fRMWyF2s/e1EyYwU3blhHfyCaDoDHAMv6oPsj0G/F1Bs51FPp1ONRaHEYYt/4N0RSbodJqt6E9Raq3kzpzY2yZ7Rikw0JuVDIbfSZlAoIjYTZzxfJBEgpohWOphvSa4Ww+SBCU+rvwjHzbjz+e6FDeeHppFEbmexbFOdzYfzq+YIPLl15MyZycYB/e7vbKVCYOqs9f7jk+OHS4xK2aLj/4HdHb/QX+VxtgCC8w1tzh7fmQI327QuXXsu/MNfPZ4aP91CFPHyBb96nxZd/rgy907ttFXNZ/hGKB17VffwsZTXd3EeJpotBEEzXuKYJ7Bmltp/SLA/8aZ2psA8R2FgmK6W34AYLVWukTDYk4iK5EEn5UMJHEj7TV35NnByXjhag6Vn0WiFsJojQWXaZNNRx+w287nipGf+076M5SnV4v8nN37zYYrkr7bSAwcgc2wMWgman5VRF5vHyUycrMjR81XC/wZtGb/S7Rv9uZJRKOUqlLDCafiwrX3PmbKnFOtVbM32Kl/cOS9Ff1YGT1W3rCVMToHz4Td3/1rtqq8R33Nu2m9B0CNhgbYwE1xmpWiNVa2x8YbRCJgH5nAg++xke28jhpldy3new+/lKhw/wkyp5SCFCYh7olVEXNLcrHhTCzZs3b926FSG0cuXKpUuXXndWr9d//vnnGRkZVVVVO3bs4PM7srgUaFwRNi2EpiM7BEOmXFd0CQPwyL6iBfZPR07Y1fydfyorfyjrzNqI8NXhod12MnBR5PnaC9nVZzOrcwpqL0Up+w32TVwWu1jJU7T8JhFCwTN9I57pG1FssfxaXvH6pYuXA8yTKkX373Mmj/FtW8cYMrXy4Td1W57GTrtk+vJmSl/RdAjY6qBq9GS1nqrRU9V6skZP1RpxgxlwmEjCRzIhkguQQsQMUCK5oHHr7poslEIApgEQZcRv5VDLL1PzAXpcgwJpFaTpXXhKCH/99dfXX3/9t99+czqd06dPDwwMHDt27LUNamtrs7Ozw8LCvv76a5fL1eEdsNc5OU1F01NmgzX3hGba9cK8+ZxzVOWq6OSH+eKb2jktJLk6O+dgje7PoYMTpJIO7nFHUGGqOlRyLLMqJ09X4Cv0jlVHzukzPU4dxWG0K5YxgMd7NCz00bDQfKPxw/OXJ1zJHPjHleWR/tN5vDakcCNEMtWqd2q/eEX3ybPyJc9AdndfUndTSIoyWKkGM24wN2b2sjoak3sZLFSDmdJbcYMZQICUIqSWECoxEaJmDQpHciGUCVoVBh4shB8NIZ6PJ97LJRN/c433RWujUbSMlkOaXgLEGHvivuPGjZswYcKaNWsAABs2bMjOzv75559vbFZRUeHj49PQ0CAW3zRu/cknn5RKpevWrWvyrMPhwBizbwhaP/9FiTJOooi5fqvPuO97l7ZCOv8/4YP5DfiNH96cJ8kcO/tbCJteo5xp0C9ISx8glX4YHyNgdC+Tco1Fd7A49UDx0RqLbrjf4IHecdHK/gJWBy+yr1Kvtb77fzm/BxicHPhsvz5zfH3a4itLkfU/f+QozFMs20BIWrFOvU3ANgfWW93ul9hko/QWymDBBhulN5MNZmi2N27USfhQwoecxpICjeVy3BksxTwk5UN2B0fUGZzg4/PUplwqVg7WRhMejbXobhiNRiEdUN/pOJ1OkiR7ZGHec+fOPf300+7XAwYM+Prrrz30RjfDXufk3OgsQ1HmE7tk96y/9piLAuv2ZCx0fTts0t9NqiCF8dsXLr1ZcPHd2Ki7/JtwNO0SKEydr71wuvLMqcqMUkNFil/y8ti7Y9WR6CZC3oFIldx1s2Mm/a+wdDLn3YuXN+Tlt0UOESGd/bDp8I6aTasVS19g+oR4rL/dEWyxUw0WbLBQ9SbK4C5NYMVGa2OBAoMVMlBjIIHbA9PtnBKogiKulQkEGgUS8drmtdROREzwRDR6pD/66hK14hgpZIInotHMQETcRoJI09vwlBBqtVqJpNF4KJFIampq2nwrl8v1+uuvb9myxf3jyJEj33vvvatn3StCh8Nx3VXWWruT5TAa/2N0dZ5PxzyRXeJlNxqvHnzzjHVGzQNxI553Yr7zmuNuyqy2Fbl5Loo6mJzoz+UYb2jQydRYdaers7O0uWd1eSqeIlYROTd0epS8HwMRAACzydxJ/RAAzQwh+NX40/S+6TLrq/kXXsjNezYsZKq6lQnK40ezGeyaj9bzZj7ICI/zTF+7CAqDBguuNYJaE64z41ojMNmwwQpNdmy0AQaCEh4QcoGYB4UcIObCYAUQsIGQC4Ucgt+Y5RIAgAHAAFDX3NhsMkFEAlMXfxXneoPZXuDvCrQph7H2JHyoDzkvgBQxPWJh6iY0n1+XxkO4V4TO/1ajazk8Ho+4Vd1WTwmhWCy++qUxGo1SqbTNt2IwGEuXLl2+fLn7Rx6Pd611oknTKGmjAAWk6uvNrdr03eKRM3nXXH5ahx1n14aFjwmNnHHjW/9fSdmj2Tmrw0OfiAhrw2ZYR+GkXGdr8k5WnD5ZkWGwG5O840cHp6wb/LCU05X7lDAMypfK8j4rSZnrM21swO6q6ifPnttSWv5WTFSSrDW/7iETHd4Btdtf40YPEd9xL2R09+RY2Ek2Jrq0/PPP7MBWOzbZGhOjNJix0dZoulSKkEKElCIiKhCKuFDUGGPQzkzN3cdAN1cE5vYBaTX47bPESzlUigbOCkLTApCsyzLsepbuM/K3Dz3YNBocHFxQUDBkyBAAQEFBQVBQUHvuJpPJgoNbke7SVue4MXbCWVnkqinjxgy9esTqAu/8+f0sZl7yqN3XNTa7yAezstNq63elDI7vIr+YClNVemXWqYrMrOqzAWLfZO8BTw9aHSYL6T7JawS+3P5LA859Whw212d8P/VYterL4pI7j6cNVchfieofdKsaF1dhBfVTr/tfww+ba956SHb3U0yvQE/2+ia4g8QbzP/Im+NqyQLK9G9aZ2y2YwojPrsx1yWPBXlsyGNDLgtK+Ex/BRRykZgHRTwk5Nw+ycCSVPCH0YTBSfxZQv1chB894UxWwbtC0Z1BiNe99tNpaJrAU1/SRYsWffTRR/PmzSNJ8pNPPnnsscfcx9etW7dixQq3LtbX1+v1egBAQ0MDxviqKbX9NBlNbzr0iyBlKiT+/chPH7o8xbBxzPwfCMZ/njXO6g1zT55Klskyxo68WX0GD2EnHVnVOSfLM05VZtpd9kTv+FGBw9YmPyy+VYB/V2LqtP4AACAASURBVCHw5fZb4p+3tThsvq+sn3BJYMBcP993LlxK3Hdwrp/vmvDQEEGLfHYQhy9b/KQlfZ/2g7WicQsEw6d3eFfdLieNdXlMNmyyUSYrNlipOhOlM1BGGxJxkVQAeazGEjzukgUaCZPPhgKOO8Uz5LM73P2k1yBigvkhaH4IsLiIv0qp7Rfx6pPOO4PQveEoSdVdnt5oaG7EU0K4bNmytLQ0b29vAMCcOXMWLVrkPr59+/bp06cHBQWRJBkSEgIAkEqlcXFxHA6noqKio97dXu9k/zfdNmXSW8+e0Dy99eqRL/MtwQXLY4Y8Llb8p0LQJ1eKnsnNeycmamFA5/nF1Fh0J8rTT5afPlNzLkwWkuydsHHY+mBJQKd1oD0IA3l97w04/3lJxF2+kggBjyCe6RuxLDjw/YuXBx04PFKlWBsR3sJoE17iGKZ/eN321+2Xz0rnrkL81sk/NtoogwUbre5KPVS9+Z8cYCaqwQLZTCRpXKtBIRcKOIRKDEO9kFyA5EIk4dNB4h0FjwHuDEJ3BoFKC7H9IrX4MMlE4L4ItDgMyXupyZSmR+Op8Ak3VqsVQthO224bwicKf6tkiZk+I/51yjfs/obU10rnPOL+8Uwd3v796glejrHTP/q3jdO1PCMr32j8LnlghFDQnj63BArj/NoLx8vTT5Sf1lp0Sd7xg3wSB3rFey7soWMxmUx8Pv9qhXpDkeX8tpKweT6yfv9uophcrs8Ki969cDlMwF8dHjpRo26JXReTLuPe78zH/5LOe5TzTwKgxlKregvVYMYGCzZdLT5na/S0NFohh4lEPCjmIZkASfhIxodSAXJHEYj5vaaAao9z4scApFbhzwqo34upCX7o/gg0yrvb2PdbQ48b+d5BD94jdMPtovRjtjqnMOhfOXHXmlAs3+j+Ue8Ab/z29QzmmZGT/7za5kyDfvaJU6PVyhOjhnM8aQ61uezplZnHyk6drDgt5UgG+SQ+mri8vyKiE8IePIookNd/WUDeZ8XBM7yvhm8KGIxHw0IfDAn+vrT8hXP5q7JzVoYE3RsYKGU1ZV1011zVGkidgWWLgEqe+YO/rew0giWlGsyAwlDKR2IeEvOhmAsFHEIthiFqKOAitxPK7bQn17OAAKRoYIqGaHAQ31yiHk8jjU5wfwRaEo7UdDYFmm5A79zIttc5rg0itGYdYWoC3C4YGIBHd5+dYn5j/IJfGMxGb45thcVPnj23KTZqgcfCBBvs+hNl6allaVnVZ/sqwof6Ji2Jnq/mtzLYoHsj8OVGrgw693ER5aBUif/YQl0kobfMczLnqoMvaOsPnbj4ws7TSQLhYK5ARYFGnxSLnWowUw0WJOG5fSyRXMDqG8qKjzCf/tPWcEGy/GFWcHiXfjiaDkDCAg/2Qw/2Q+la/Ek+1fcn5xhvtKwPGu3TIxeINL2G3imE15XkNR3eIZrYuEn51un6ocVLh4x7VSgLAwBYSPLBzOz0uobDI1L6ijrY6GF2Ws7UnMuuPptdnVtuqhygiR0ZMPSpQY/2FONni8CY0luoWiNVZ8J6CzLZIjRm/Zdna3cAJnBSejO2OhuNk1xWIJd1D5ttk6nPWC3ba6ogj5Xso0n2DeMKOUjCRzLBtVku3bCH9LdkHNBte04wfJpo9ByA6DVfbyBRCROVxNvJjQtEswss7YPuDqMXiDRdQy8UQpeNxBRm/FOJ0H7lHGUzc/oOAADsLadMp1YP7TvJP3wKAOCiyTTreFqsRJI2egS/g6xqLorM1Z1Pr8w6XZldYijrKw+PU0c9PGBpX3k4oydP4pTegg3WxjIFdSaq1uSqqTforVSDBQk4SC5w78ZBIYcdJJcGqIsONcgTVZqxvlB4vWWfD8AoAEZgvKuq+oMrRfNK8+b7+94t90+8QQXd8BJGscPi6r97t2bTGtnCJxiqNub7puluiJhgZV+0si9Kq8GfFlB9f3KO8EL3R6DxvpDOU0PTmfRCIbyuAJPp8A7B8BkAwgwd/nXnCxNE+uSR6wEAB2q0d6WdfqF/n+XB7YpxBABggIv0pVlVZ9Mrs87U5PqLfBO94h6Mv7evIoKJuvsIY5uDqjc3+ls2mLHVga0ObHFgmxPbHNhgdecAgzwWEvGQXIjkAiQTMKP8KX4wz1tByAQ37syxAQhLcp7fVmL6szZ0tneTsxqCcLKXZrKXpsxq3VpYvPDUaQdFzfLxudPXO0l+fTpnQiRVLH3RfGJXzfuPCUfOEo6aTVe8600kqWCSing3mfj+CvVSFrkiFSwMhbODUZyc/i3TdAae9RrtEFrrNVp71lB9qr7ffQEAALK+pvqth7ye+/KSjfPW96+OZxyYsuAnFkey5XLhi3n53yUnDle2Md0zhfGVhqIzNbnZ1bk5NXl8Fi9OHTVAE5vgFSNidTu/skY9qzM1xhXUGak6M643UXUmgBCS8qGQg0S8xvTN7vBwLhOyWVDERTIBEnFvVLvrvEZvhHLhi9+V2+scfZf4M4W3fiA4qzf8VFb+U1m50eW6y9/vgZBgP971ljKXtrzum7cgky2dt4oh92rDUPQCer3vYm49/vYS9UMhRhDMDoKzg1Bs91DEXj/y3ZNO8BrthUJYcaTWVusInuEFAKj/v3eRUGIZtWTDt6+MgAem3/UjYktWZ+ccqNH+PmRQC2O9r4IBLmwoyarOyarOPVOTK2GLY9WRMar+sapIBU/ens/YMZAUNtspk43S6qlqPVnd4K4/h+tMgMNEUgGSCZBMgKQCJBcgqQBK+UguvJrTsrXcUggBAACDsoPaymN1fe8NEPi09HucZzB+eqXoq+KSkSrlQ6HB1z+sUJTxyA7j3u9E4+YLUqbdhhUNb5/pOFOHfyykfizEAIBpAXCqPxqq6Uqr6e0z8t0KWggBaL0QXtlRyZYyfYYrHIXnar94hfvYJy/8tHmga++sRT9aCOG8k6cICL9LHihitkgALE5rQd2lc9r8vNqCc9oCIVsQq4qMU0fFqqPk3LYnUG0V2OFqTPfVmNnSThn/qVdgsFB6izsTGHaSkMdGAg5SCJFaQqjFSC1BKhFSiDwRQtciIQQAAKDN1F/ZURkyy0sRc9NiW03c3+XaXlyy+eIVNoGWBAZM9tKEXvPg4qqtqv9+E3bYpPPWMDU3LSHZK7kNp+Mzdfj3YvxbMVVswpP90B3+cIwPEjddeNuD3IYj3x2ghRCA1gvh+c9LVAkSeSS/+q2HuGMWbMw9EWX5Y87iXw4b8f2nM+f5+b4a1b/5DNoWpzWr+uzpquzs6rOVpupQaXA/RXg/RUSksq+CK+vgj+fWOauj0Q9F1/g/triTW9qxxQ4whrxrklvyOUjIhZLG9M1Iwm88y+3UiaHlQggAMJVZC74uE/pzQ2Z6E5xWrOEwAPuqa34oLf+rqkrAYEz20kzSqIcpFSyEAMbmE7v0f33JHzRROPJOxPN4DoRuwu08HZea8R/FeGcplVqF4+Rwgh+a4Atj5Z20Y3w7j3wXQgshAK0Xwqy3L4XN9cGXdlnPZ3wgkgQZdt6x4MfnL1f+WVm1NTF+tErZ5H1sLlt+7cXsmtzTlWcu1V/pp4hI9IqLU0eFSoPb4u1JUpTBihvMjfVUG8yUwYotDmy1Y4vjaiVx4CKx1QFZDMhlQZkAyYWEXIiUQiQTQgGnUfmuqcjTrWiVEAIAKCdVtLO6NtcQPt9XHNrqABIMQHZDw1+V1Tsrq66YzAsD/O4LCuwnEpL6WsOur6y5JwQpUwXDZyBOSzN991zo6RgAYHWBI1V4Vxn1dymud+DhGjTcC47wgv2kHhRFeuS7hB6fWaZLsNc5mQxT7d7vvgkLD9T/4X/HtsHHzwxWyM6MGyVm/iehic5al1Wdc05bcE6XX2IoD5UGRin73R01N1rVn000u7pykaTWgOvNlNl2NSQcm+1UnYlqMON6M2WyISEHSvhIzHM7oRBqMeSyIdddRvyf3M1MopOXcV0IYqLgGV7SPoKCr0tVA6QBE1Wt2u2BAMRJJHESydN9I66YzVsLi8ceSQ3k8e4PDpxz58PCMXMNu7+p2nivcMQMQcpUyKbj0Xo5XAYY7wvH+xIgGZSZ8aFKfKgSb8ql9A482gdN84cT/brAdkrTQ+ltK0KXlUzfUBAW/useY56W2VCQ8PyOqtqP4mOn+zR6GFKYyq+9eKL89MmK01WmmnhNdH9ln/6KiHBpCJNgAgAABo25K+tM2Gh12y2x1YEdTmyyUVoDpTVQRhuSC5FM0FiOh8eGPBbkcZBcgCR8dyawXu/f39oV4VWcJtelHyusWnvoHB9RYNsXcCTGf1VWf1ZYlKqrne3rszQ4MMZpMvz9tf1SjnDMXP7gSd2/tGHboNclzVBuxn+X4d+K8eFKKkkFpwWgO/yhv6Bj/hjpke8SaNMoAK0UQnO5Lf+LC3Vo5efqxP2KMTN9fTf074dJw8X6Kxfrrlysv5JTk6dhKUaIYhM4YYGUAhutuMHSWLJAb8V6M2WwIgHHHTYABVzIZkAuC3JYkM2EAnZjAjApv9fr3C1psxC6qTtnvPxLhTiEHzzdi8Frly9PhdX2RVHx1sJiCYt5f1DgbDaA+751FOWLxs3nJ4/vfclo6Om4JVhcYHcZ9XsJ/rOE8uLBSX5wsh8apG6X0yk98l0CLYQAtFIIddl1nx3Y+IukT1+GeDw28GrryAYT38VQAqGE4vKdTJYVI4cLSgVIykdSARRz0dWi4SIukvCRmHdjoi+aG2mnEAIAXDayZFeNLscQOFmtGtDeapQUxvtrtJ8VFu2uqhmjVs7loMEnfiUaakQTFvJih/WmKAt6Om4VFAantHhnCfVXKS4x4fG+aJIfHOeLlK2fV+mR7xJoIQSglUKYezyX//khF4NyigBW8DkqhUStFopl8B8bJhJwb0z6RdMG2i+EbgxFlks/lLNEzMApaoFvB+ztNTidP5dVfFNSeqZBP1XAmnrpZJL2injknbyBYyGzN+wa0dNxmyk3479K8d9l+EAFFS6GE/3gOB80QAlZLXtMoke+S6CFEIDWe41iioK96PG/29JRQggAwBSuTqsv2aMVBfICJqm5yo6Rq3Kr9bvSsm9LyirNpmnGymllZ4YkjuAPmdzTPUvp6bj9OClwrBrvKqX2luOLBjxAAVM0cKgGDVZBwc13lumR7xJoIQSgTYV5aTqBDhRCN6SDqjhSW3FYp4gV+41VsUQd5tKcbzT+X0nZt1cKsdU4uebiFB+f4cMmseTqjrp/J0NPxx2LwQmOVeHUaupoFc6uxQOVcIIfmugL+0uv/27TI98l0EIIAC2E3ZUOF0I3LjNZul9bfapeESv2HangyDvSmJleV//zlSt/lhSV250jsWVqRN/JkQkKdg+zl9LTsecwu8DBCryrjNpVikkMxvvCkV5whBfy4gFAj3wXQQshALQQdlc8JIRunGayMrW2MrVWGMDzn6DqkL3DaynT1+84efiv8opjfFUYnzspKHi8WpUslzWfcqibQE/HnUN+A95Tjg9V4iOVlIIDh3vBgRL7mEBuQAcFY9C0EFoIAaCFsLviUSF0Q9qp6rT6soM6gQ/Hb6xSGNDRe3sUpc8+cvDY3gNcxRFVaClGo1XKSV6aiRq1mtN9v1G0EHYyGIDcOnywEh8oc6bpEIHgYBUcooaD1TBODhm0Q4KHoTPL0NzWEGzkPUyuGSzTZesLviljCRm+o5Sy/h2nAQiJ40dMjxs+IS/NsOe7Ghd5TDjpr3JqzZmcUIFgkkY9yUuTIJX0iGUijeeAAETJYJQMLvF3CIXCK0Z8rBofr8ZbL1BFRjxQCYdq4FA1Sm7W0YamO0MLIU13BzGgaoBEGSfWZuoL/6gq3VfjM1IpjxRC1EH6BCGnfzKnf7L4Qpbm0C93FBewBozO9k3ZYyfvO51ZYbWNVCnGqlVj1apgfqtTpNL0PoKFMFgIF4UCAECDAxyrxqlV1ItZZJYOBwhgggLGK2CCAsbKoZDWxR4CbRqlaSOdYBptAgx0Zw2VR2utOocmWapJlrLEHTzZkHU15pO7zGl7GHIv/uBJDRGJ++vq91Zr91XXcAlimFI+QqlMUcq7UBRp02hX0fzIOylwrh5n6HBmLc7Q4Zw6LGfDcDEIF8NwMewngXFyqKKT4LYeeo8QAFoIuytdI4T/YKmyVx6v02Y1iIP5mmSpJFzQwQVbKdKae9J84m9HcT43NoWfNI4V0CfPYDyi1R3V1R7W6iAAI1SKcWrVOHVnbyjSQthVtGrkKQxKTPiiAVzQ4/wGnK/HmTrMZ8ABSpiggAkKGCkFvnza6n5raCEEgBbC7krXCqEb0k5pMxtq0husOociWqSMF4uC+KBDe0Tqay2n9ppP7YUEgzdwLC9+OCFRAgAum8wHtdrdVTUHarT+PO54jXq8WpWiVDA8PyC0EHYV7R/5QiM+rcMZOpyhw7l12EaCSBmMlMIoKYyUwWgZlPSwWJ7OgBZCAGgh7K50ByG8iq3OocvSa7P0LgupiBHLo0WiQF5HKiLG9sJzlvT91pxjDJUfL24YNzaFEMkAACTGp+rqd1dV/1VVfcVknuylmebjNV6t5jM8leybFsKuosNHvtYOztbhc/X4bB3OqcP/396dB1dV3v8D/zxnu/uW3CyXrAQSEDCARqDUKtKAipZiQaudAbdpbQfstGMXrXYcrTOtldZ2qtROS7F2pmOhAu2EL4uy9OewaAAVZQ17kpv15u737M/z++PgbYRosSTc3OTzGibz3HNPcj85nHveOec+53k+irKAjVwbgGsLyAQfmegnE3wkMOqPbRiEABiEw9WwCsKsTKfaeyje92FCjRuFUzwFU7z+OjcnDFqRzDTUE+/J7/0/+aN9YmmVfdIN9okNYlmNNRtJuyz/K9y5sT38Tl/0S8HCxpLixpKiyV7vYL26BYMwV4Z6yzOAM0l2qI8djsLRGDseYyfizMbDBD+p8ZBqN1R7SLWHVLuhwjWKbtvAIATAIByuhmcQZil9Wt9HyciHiVS77B/vDkzyFFzjHsSeNczQ1ZYPlGP7laP7mZy2Tbzefk2DfcJ1nMsLAHFd39rZ/VZ39/aunoxpfrm46MslRV8uLqp0DsKtkBiEuZKTLR/OsBNxOJtkZ1PsbBKsr50yK3OSGi/UeMhYDyl3QYWLlDqhwkWcI+5WAAxCAAzC4WqYB2GWkTGjx5J9R1LR40m7Xwxc4ymY7PFUDuaFU6OvSz12QDnarLZ8IITGOibPsF9zg1hWYz17Jp3Z3t29vatnR3ePTxStRLyluKhQ+h8/DsIgzJXhs+V1CudS7HQSTifYmSQLZ6A1zToy0JZmEgc1XjLeS8Z7YbyXjPeSCheUOok9b+flxCAEwCAcrvIlCLMYZclzct+RZPRoUovrgYmewCRPoM4tuAbtCMEMXT15SDnyrnKkmemqrW66vW6arXYa7w8CAAP4MB7f3tWzvbvn7d7eUrt9RkHghkDghoLAdL/Pzl9uGcPncDza5MWW71PhdJK1xNnJBJxMsFMJ1paGTpm5BAg5ScgJ1W4y3kvGeWG8l4zz5sHNjhiEABiEw1XeBWF/akyPHk32HUnGT6Ulr+ipcnirnZ4qp7PUNlj36Ru9YfXE+0rL+2rLB5zTY6udaquZYht3rRWKlLGjyWRzX+zdvr7mvtiRRGKS1zurMDCzoGBWYcF492fdpJgXh+MRKa+3fESFzgxrz8CZJDsZZ6eSF2LSK16407HWR2q9MM5Lqj3EO5zSEYMQAINwuMrrIMxilGW61OTZTPKsnDiX0RK6p8LhqXJ6qp2eSofoHozPWxjTw2fUkx+opz5UTx8hkmSrmWKrmSJVThBCVYQXAEAxzYOx+DuRvn19ffsi0bRhTPP76v2+ep+v3ued7PPa+k2xmdeH47w2Ird8W5qdiENLgrXEWUsCTifY2RQTOah2kyo3qfJAtZtUuqHSTSpduRkQAIMQAINwuBoZQXgRQzaTZzPJc3LiXCZ1ThbcvKfS4a5weCqdrjI7f5kTmX/2S3S1qmcOa6cPa60tRqRTDFVLFbViRa0YqhKKyzm7CwA6FeVQPPF+LH4oFj8Uj59Mpcsc9gkez0SPp87jruC56SXFpUN5XEADGpFBOKCICmeT7FyKnU/B2RQ7n4LzKXY+xRI6jHGSMheUOUnICRUuUuKAso+/DtF5JAYhAAbhcDUig/ATGGS61VSrnDwvp1rlTIdiK5BcY2yukN0ZsrtCdlvgSt/3TFO0tlN66wmt7ZTReV7vbuXsTqGkQiyuEMeMFcvHiaGxRJR0Sk+l08cSqROp1PFk8kgsfjKT0Sitc3vqPO4JHnedx13rdte63V5xxHUZHE5GTxB+GsWEcIaF09CWZh0ytKVZlwztadYlQ1uaGQzGOEmpA0qdZIwT/BK4ReKXwCOCW4SARIJ2KHKQws95tMbZJxDKHQLOEpuzxFbc4AcAZrJMp5ruUDIdSvjtSKZDoRqzF0mOIslRZHMUSY6gzR6UBOfn6HpDJLutZrKtZnJ2iRnr0btajc7z2rljqT2bjK5WobBUHDN2TElVZXHZHcXlwtjJKVXzeDx9mtaSSh9PJo8nU+vbwi2p1IlkyiuKdR73eLdrnMs13u0e53aNd7t84nD6wAflMztvjTkOMFCv64wBHRnWKUNHhnVkIKpBr8JOJSChQ0pnURV6FOiWWcqAoA2KHKTIDiUOUmSHIjspdkCJA4J2UmSHkPNqd+HBIEToshCeuMrsrrL//FlqZEy5R5N7VLlHjXyUVHojSq8GBOxByV4o2Qsle0C0BURbQLIFRN52WZdVeX8R7y+CCddZD5lpGJ3n9fAZvbtVfv/tZHeb0RsGl1ctrRKKy6eUVE4rLhcqynnfJGv9NlluSaZOptKn0um1bW2nUumTqbSd58a73ePdrlq3u8blGuOwB21SULIFbZLEjZq7stHQcwowzkvGeWHAmMzSKfQorFeBLhm6ZdajQK/C3u2BHgV6ZNqtQJfMdHohFEscUCBBgcQVOWnABgEbBCTSWDbId4NgECL0PxKcvKfK4an6RP8BPW0qEU3p1ZQ+LdWuRD5KqFFdjepEIFY6Oj6OSVtAlHziZ496Q3hBLKvJ3pIIAEBpvO20LR0zus5r7acy7+0yutqokhYKQ3xhyB0svaGgdJY/yHsD3JhK3ltIRKlLUVtSqZOp9MlU6v86OztkpVfTIqrWq2kOnhtjd5TYbeWOC1+L7bYyh6PEZgs57H48lURDQORgjJOMuTC2xMD7v2xAr8p6ZOiSoStj9MqQNNnJBERV6FPpF0sEDEKEhi/RxYsuh6fy4t51etpUejUloioRPXE6070/pkZ1Na6LTl4KiDafKPlEyc1LflHyCJJPlHyiOOANjhzHBUrslePhmobsMqYpRqTT6O0wIx1GpEM9/ZGZiNJEn5mIEF7kfIUTvIFJvkLeE+B9hZyvUPCX8oFi3lsQN2lYVrpUtV2WuxS1VZYPRGPtstylqmFZUSkNSlKhTQpKUpHNlm2U2G3FNluRzRaQRLcguAU8jKBB5hCgQiAVLgAAXQfTpHb7EI5HPoR78NGjR/fs2VNeXj5v3jxuoCswfX19mzdv5jhuwYIFPp9v6CpBKOcuBOQnTx+BgZY01JiuxXUtrmtJI3Eqo6UMLaarcZ3qzBYQbX5R8gmiSxBdvODkRZeggcoVidYSa/IpItnFULUYqr70damSNuMRmoia8YiZjBrRHvPcMTPWa0a7aTLGuX0FTk/Q4Z7icHNOF2d3cW4/7yvgi/ycp0JzB/p4W4SxHlWLqFpE03pU9XAisb1b7VHVXlWL6lrKMNKGaSWiRxB8ougTRa8oBESp2G4rsdnKnQ7rq/XsVdnYCH0+QxWEa9euXb58+d133/273/1uzZo1r7/++kUrtLa2zpw586abbtJ1/YknnnjnnXdKSkqGqBiEhikCkleQvALAAPdnUY0qUV2L62pcN1KmnjGViKanTTWpdSgxI23qGZMTiOgSBCcvOHjByQkOnnfwoksQ3dmvouAts5VUDvDqlJrJKE0nqJyicprJKSqnaTqunT1mJqM0GTMTET6dKAYodXk5p4dzeXlvAef28Z4A5y3gS3yc28e7A8TtjQOfNPSkYcR1I67r1r8uRT2SSL7Z1d2lqm0ZOWHoCd1w8Lyd5wKi5OB5l8B7RdEnCi5esPNcQJIkjnPxvEsQJI4LSKJIOLfAOwXByfNeUfAKolvgL38IHoQu05AEIWPsySeffOWVVxYvXpxIJGpqavbv39/Q0NB/nd/85jeNjY2vvfYaACxZsmTVqlXPPPPMUBSDUJ7iJM7qtnrR8v6d+A3FNNKmIZtGxjRk05CpkTH1tJHpUoy0qacNPWkaGdNQzY/DkhfsPG/neInjJY6387zkIoKbEzlOIMRBeB/HVXGCQHgbR3jC2zgwdTDSoCWZnAalj6biZjJqdLeZqThNxsxUjKZiACC6/UGnp0iUiGTn7E4i2ojNzkl2EETO4SJugUh24G2KZNeAi4u2DHAZXkzzYhxIBjiVF2K6oVIa1fVWWdYpjWq6RmnaNNOGIZtmQjfiup4yDJMxryj6RdEviT5R9IuiS+CdPC8QziMKHIBPFB087+B5vyQ6ed7JW3ErugUeL+SiAQ3JPnH8+PHz58/feeedAOD1ehsbGzdt2nRREG7atOn555+32osXL165ciUGIUKfl2DnL6vbAAM9cyEsTcU0FWpq1FSpqZqmSpnGqG5Qg1GDUo1RnVKDmSplJjNVk1GgOqU6Y0w0lSLeXsJLHG/jeBvP2zniIlw54ThGwCDEAEo5TgdqMNXkdB1MDRglTAbTADMD1GSGznG6pCsSNX2GDnqGGBlm6lRVOKYSYgIAkezAEZ6nRBSJIBJBIqIIvEgkiZeYKdmThpTIcHFCkjyfkqQMA4XwuiCmgTBR6qZMJoIMJEFZhnAZylKUxihNUZamNG0yH8/bOc7Jc35RIAAOT/SFBAAADhJJREFUnrNnP7vhBBtHnDwPAIRwDlG08xwAcIT4RFHTNEmS/KJodfAISBIASBxnzT3pEQSBEI8oCoR4RYEnxC0IIuFsPOfEs9jhbUiCMBwOB4PB7E3uZWVl4XD4onXa29vLysqs9pgxYy5dIYtSunPnTtM0rYe1tbWLFi3KPqvrOmNswM8g0ZDSdV3X9ZF8Q/1wZW35z/1tEggSEfzCFb7rDcVkOlgJaoUlM4AalBqMahQATI0ykwEAVRmjAACmYvYft0NTTGs5AFCDMuNC29QoMxgAAKUAYKomowwMBgaAzIAxxpipEfj4ZzkB7JQEzX57IAGes34cAwZAGMdp/3mWMQAGAClB1zhDJSzJUSCgcFQjFw4vhGV0zlT4C+trRNUIAQAKkBIAgMiE9IiG1dcxIXIAoBOQOQKEpHlCCU1zYBCS5ohJIM2BSUAjoPQbwNZrfrwtLnnrOEwifnKAEw+FS8a+vfBbWGxA7J/8Fhdl/KWjpBAyYP9MHwMg3OXOxEI4F3BX/4TaGvXFOtRwAG5KfrRglt9/uSMbCILwXw9TQ/JLmabZ/4U5jjMM46J1KKXZdXiev3SF/mRZ7uvrs9qJRCIbitZrMcb6L0FXh2maF/1Ho6vD2vK5enUiAhGBc/IiDL+zHAamSvs/NOQBNpSpUaCXLgYAoBqlxn9ixFQ+sZ6cStklwVSsTAVmaIx+vIKhAWOm+l8LhARPAQAYZebFBz2Zoxf9gZMkBqWf+BWoybF+C1SgCvlE7qUJMy99U1ITBhpELEEYM2n/ZP0slKYgh4daBgCUQIxjn+stwPN8boIwFApFIhHTNHmeB4Curq6qqqpL1+nu7rbanZ2dY8aM+bSfZnUr/bQh1jiOwyHWcsIwDLvdjkF49em6PqTDTeW3i3odBQbzZyeTtlE+xFpOXIUh1obkiuLEiRMLCgr+/e9/A4CmaTt27Ljlllusdk9Pj7XOLbfcsmXLFqu9devWuXPnDkUlCCGE0GcbkjNCQRAef/zxBx98cMWKFTt27KipqbGCcPv27d/4xjei0SgAfP/73589e7bT6dR1ff369c3NzUNRCUIIIfTZhqqPyaOPPvqnP/0pHo/fddddW7dutS6g1dfXv/zyy9YKkyZN2r9/v9vtLiwsPHDgQE1NzWf+PIQQQmhI5P00TL/61a/i8fizzz57latCixcvfuSRR+bPn5/rQkad8vLy48ePu1yfNYs9GnSHDh1avnz522+/netCRp1Vq1adOXPmhRdeGLqXyPu7DmRZVtX/1lULDYF0Ov2/dOJHVywWiw3/v19HHtM0E4lErqsYjRRFURRlSF8i74MQIYQQuhIYhAghhEa1PPiM8MUXX1y9enUoFBrw2XA4bBhGZeVAYwqjoXTs2LHS0lK/35/rQkad/fv3T58+ncdRu66uTCZz6tSpa6+9NteFjDqdnZ2KolRXV/9v3/7KK6+MGzfus9fJgyCklO7YsSPXVSCEEMo/M2fO/K/DIORBECKEEEJDBz8jRAghNKphECKEEBrVMAgRQgiNahiECCGERrWrP8niYEomk1u2bDFN87bbbsN+/EOKUtrc3Hz8+PFgMDh37tzslCh79uzJZDJWu6Cg4LrrrstdjSNTc3NzPB632h6PZ+bMmVbbMIy33nqrq6trzpw5l05zhq5QLBbbv39//yX19fXFxcXhcPjIkSPZhTNmzPB6vVe9uhHINM2jR492dnbOnTu3/0Tr7e3t27dvLywsnD9/viiK1kLG2K5du86ePTt79uwJEyZc+avnca/R7u7uWbNmTZkyxWaz7du3b+/eveXl5bkuasRauHDhmTNnrr/++paWlnA4vHv3bmsKyQkTJvh8Pp/PBwDTp0//5S9/metKR5rZs2fLshwMBgFg3Lhxr7zyCgBQSm+//fZoNFpfX79hw4Z169bhRGaD6/Dhw9/73vestizLu3fv3rt376xZs/785z8//vjjU6dOtZ566aWXBuVAPMp99NFHs2bNcjgcvb29mUzG4bgwq+S+ffvuuOOOr371qydOnOA4bvv27VYWLlu27ODBg1/84hfXr1//8ssv33PPPVdaActbTz/99KJFi6z20qVLH3vssdzWM7KdPHky225sbHziiSesdl1d3Z49e3JU1KjwhS98oamp6aKFW7Zsqa6uzmQyjLFVq1bNnj07F6WNFq+++mpdXR2llDG2evXq7GEHDZZUKhUOh8+ePQsA1l5tufXWW3/xi18wxjRNmzx58rp16xhjH3zwgd/v7+vrY4xt2LBh3LhxpmleYQF5/BlhU1PTkiVLrPaSJUuamppyW8/I1n9ohlAopGla9uGHH3745ptvdnR05KKuUeHYsWNbt25tbW3NLmlqalqwYIH1h/OSJUv27NkTiURyV+AIt3r16ocfftiaSw4A4vH4li1bDh48aJpmbgsbMVwu16Vjh6mq+uabby5evBgARFFcuHChdZBvamqaO3duIBAAgDvuuCMcDh89evQKC8jjIGxvby8rK7PaZWVl7e3tua1nlDh8+PC//vWvZcuWWQ+9Xu8bb7zx/PPP19bWrly5Mre1jUgul2vLli2//vWvJ02a9NRTT1kL++/8RUVFkiTh/j9ETpw4sW/fvqVLl1oPCSHRaHTVqlVLlixpaGjo7OzMbXkjWEdHB6U0+4FX9iDf3t6eXSiKYlFR0ZXv/HncWcY0zexnqjzPG4aR23pGg3A4vGjRoueee66+vt5asm/fPmvQy+bm5i996UsLFy6sq6vLaY0jzZYtW6wtfOzYseuvv37hwoUzZszov/MD7v9Dac2aNQsWLMieryxbtuzBBx8EAF3X77rrrp/+9Kd//OMfc1rgiGWdcGdPxLM7uWma2V4zACAIwpXv/Hl8RhgKhbq7u612V1eX1XcDDZ3u7u7GxsaHH354xYoV2YXZoZ9vuOGGsWPHHjp0KEfVjVjZLTxx4sRp06a999578MmdP5FIyLKM+/9QMAzjtddee+ihh7JLsv8doijefffd77//fo5KG/lKS0sBoKenx3qYPcj33/kppd3d3Ve+8+dxEM6ZM2fr1q1We9u2bXPmzMlpOSNcb29vY2Pjvffe+/jjjw+4Qk9PT2tra0VFxVUubPRIJpMtLS3WRCtz5sx56623KKUAsG3btmuuuaakpCTXBY5AmzdvNk3z9ttvH/DZAwcO4A4/dFwu14wZM7Zt22Y9zB7k58yZs3PnTqubwp49e1wu16RJk67wtfL40uh3v/vdhoaGgoICSZJWr169e/fuXFc0ki1dujQcDre3tz/yyCMAMG3atO985zv79+9/5plnZs6cSSn961//Om/evBkzZuS60hHl9OnT3/72t2+88Uae519//fUpU6bMnz8fAL72ta/97Gc/u++++2bMmLFy5cqVK1dmryChQbR69eoHHnig/4W4Bx98sKCgIBQKHTx4sKmpaefOnTksb8TQdX3FihWpVAoAVqxY4Xa7f/vb3wLAk08++dBDD/X29h45cqSzs/O+++4DgJtuuqm2tnbRokXz5s176aWXfvjDH0qSdIUF5PF9hABw+vTpv/3tb5TSr3/963g3z5Bav359b29v9mF1dfX8+fNTqdTGjRuPHz8uCMJ1111355134uF4cKmqumHDBqtTXH19/aJFi7KX5mKx2Kuvvtrb2ztv3rybb745p2WOWGvWrJk/f362XxIANDc379y5s6+vr7y8fPHixZ82Tyr6XEzTXL16dfahJEkPPPCA1d67d++mTZv8fv8DDzxg3U0LALIsr1mzpq2t7cYbb1ywYMGVF5DfQYgQQghdoTz+jBAhhBC6chiECCGERjUMQoQQQqMaBiFCCKFRDYMQIYTQqIZBiBBCaFTDIEQoP/z9738/cOBArqtAaATC+wgRGhauvfbadDr9ac++8847kyZNuv/++3GKD4QGXR4PsYbQSLJ06dLsLI/WkDE/+MEPss86HI6f/OQn2Uk/EEKDCM8IERp2GhsbW1pazp07dzkrRyIRp9NpTdILAIyx3t7eYDA44HB3yWQynU4XFxf3n8UJoVEO3wwI5YcpU6Y8++yzVnvVqlUFBQXvvvvu1KlTg8Ggx+NZvny5aZpr164tLy8vLi4OBAKvvvpq/2/ftWtXQ0OD1+sNhUKhUOj3v/99Dn4HhIYlvDSKUH7o6upKJBJWW1GUaDS6bNmyxx57bPr06f/85z+fe+45RVH27du3atWq0tLS559//pvf/ObNN988duxYANi9e/ett9562223vfjiiz6fb+3atcuXL3c6nffff39OfyeEhgUMQoTy1RNPPGElWUNDw7p16/7yl78cOXKkrq4OAP7whz9s3Lixqanp0UcfBYAf//jHkydPfuONNwRBAID6+vqWlpYXXngBgxAhwCBEKH/deuut2XZtba1hGFYKAkBRUVEgEGhtbQWAZDK5d+/ee++9d9euXdn1i4uL169fr2nalc/lhlC+wyBEKF8FAoFs22az9X8IAJIkWd1Qe3p6KKUbN27cvHlz/xU8Hk8kEsEZ9RDCIERohPN6vQDwox/96Omnn851LQgNR9hrFKERLhgMTp48ecOGDYZh5LoWhIYjDEKERr6f//znhw4duueeew4dOiTL8vnz59etW/fUU0/lui6EhgUMQoRGvq985Sv/+Mc/3nvvvalTpzqdzqqqqm9961s4mAZCFhxZBqFhh1IKABcN/kIpJYQMOF7MZWKMtbS0xGKxYDBYWVlp3UqBEMIgRAghNKrhpVGEEEKjGgYhQgihUQ2DECGE0KiGQYgQQmhUwyBECCE0qmEQIoQQGtX+P2t50nlDs+7/AAAAAElFTkSuQmCC", "image/svg+xml": "\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Equivalent experiment as for Question 6 script 2\n", "# Script launching predictions on different diseases on karat7 and printing the precentage of infected at each time step.\n", "betas = [0.05, 0.1, 0.01, 0.4, 0.04, 0.05, 0.005]\n", "alphas = [0.05, 0.1, 0.01, 0.1, 0.01, 0.1, 0.01]\n", "\n", "predictions, taus = Simulation_SIR(karat7, 2, betas, alphas, 100, 1000)\n", "plot = Plots.plot(predictions[:, :, 2], label = taus', xlabel = \"Time\", ylabel = \"% of infected\")\n", "png(\"img/q13_1.png\")\n", "display(plot)" ] }, { "cell_type": "code", "execution_count": 71, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "betas = [0.05, 0.1, 0.01, 0.4, 0.04, 0.05, 0.005]\n", "alphas = [0.05, 0.1, 0.01, 0.1, 0.01, 0.1, 0.01]\n", "\n", "predictions, taus = Simulation_SIR(n7_2A, 10, betas, alphas, 100, 1000)\n", "plot = Plots.plot(predictions[:, :, 2], label = taus', xlabel = \"Time\", ylabel = \"% of infected\")\n", "png(\"img/q13_2.png\")\n", "display(plot)" ] }, { "cell_type": "code", "execution_count": 72, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Same as before but applied on toulouse_neigh. May be a bit long to run.\n", "betas = [0.05, 0.1, 0.15, 0.25, 0.35, 0.45, 0.55, 0.65, 0.75, 0.85, 0.95]\n", "alphas = [0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2]\n", "\n", "predictions, taus = Simulation_SIR(toulouse_neigh, 100, betas, alphas, 100, 1000)\n", "plot = Plots.plot(predictions[:, :, 2], label = taus', xlabel = \"Time\", ylabel = \"% of infected\")\n", "png(\"img/q13_3.png\")\n", "display(plot)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "Question 14 (code): Implement a script plotting the number of infected over 75 time steps for $\\beta=0.3$ and $\\alpha=0.2$ fixed and on 3 contact networks:\n", " \n", "* A regular graph of 200 vertices with degree 2.\n", "* A regular graph of 200 vertices with degree 5.\n", "* A regular graph of 200 vertices with degree 10." ] }, { "cell_type": "code", "execution_count": 73, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plots of the number of infected people according to tau over 75 time steps for 3 contact networks.\n", "n = 200\n", "Plots.plot()\n", "betas = [0.3]\n", "alphas = [0.2]\n", "\n", "plot = Plots.plot()\n", "for d in [2 5 10]\n", " net = random_regular_graph(n, d)\n", " predictions, taus = Simulation_SIR(net, 1, betas, alphas, 75, 1000)\n", " Plots.plot!(predictions[:, :, 2], label = d, xlabel = \"Time\", ylabel = \"% of infected\")\n", "end\n", "Plots.plot!()\n", "\n", "png(\"img/q14.png\")\n", "display(plot)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "Question 15 (written): From the previous figure, explain why lockdown can be interesting when hospital places are lacking ?\n", "\n", "> On observe qu'en diminuant le nombre de contacts potentiels entre les personnes d'un réseau, le nombre maximal d'infecté à un temps donné diminue. Ainsi par la mise en place d'un confinement les hopitaux peuvent être capable de supporter plus facilement la charge d'infectés." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "### 2.2 SAIR\n", " \n", "The vector containing the disease status `state` has to change a bit since we added a new state. Hence it will be an `Array{Int32,1}` where Susceptible=0, Infected=1, Recovered=2, and Alert=3." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", " \n", "Question 16 (code): Implement the function `SAIR` (respect the header and the specifications). You can use `state` to translate the probabilities. Test your algorithm on `state`, `n7_2A`, and `toulouse_neigh` with arbitrary $\\beta$, $\\alpha$, and $t$. Alerted vertices should appear in a different color (`colorant\"lightgreen\"`).\n", " \n", "###### The corrector should be able to write `new_state = SAIR(net,state,beta0,beta1,alpha,kappa,t)` with your code." ] }, { "cell_type": "code", "execution_count": 74, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "SAIR" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "function SAIR2(net, state, beta0, beta1, alpha, kappa, time)\n", " X = zeros(time+1, 4)\n", " adjacent_matrix = adjacency_matrix(net)\n", " n = nv(net)\n", "\n", " X[1, 1] = sum(state .== 0)\n", " X[1, 2] = sum(state .== 1)\n", " X[1, 3] = sum(state .== 2)\n", " X[1, 4] = sum(state .== 3)\n", "\n", " for t = 2:(time+1)\n", " # println(\"-\"^50, t)\n", " # println(\"state_0 = \", state)\n", "\n", " # on trouve le nombre de voisins de chaque individus\n", " adjacent_infected = adjacent_matrix * (state .== 1)\n", " # println(\"adjacent = \", number_infected_adjacent)\n", "\n", " # calcul des probas d'alert\n", " proba_alert = (state .== 0) .* (adjacent_infected .!= 0) .* (1 .- (\n", " (state .== 0) .* fill(1 - kappa, n)\n", " ) .^ adjacent_infected)\n", " # println(\"proba_a = \", proba_alert)\n", "\n", " # tirage au sort les alerts\n", " state[((state.==0).*(adjacent_infected.!=0).*rand(n)).=(1-alpha)] .= 2\n", " # println(\"state_g = \", state)\n", "\n", " X[t, 1] = sum(state .== 0)\n", " X[t, 2] = sum(state .== 1)\n", " X[t, 3] = sum(state .== 2)\n", " X[t, 4] = sum(state .== 3)\n", " end\n", " return state, X\n", "end\n", "\n", "\"\"\"Take a contact network at a certain state and apply t time steps of an SAIR model.\n", "\n", "* PARAMS\n", " - net (LightGraph): graph representing the contact network\n", " - state (Array{Int32,1}): disease status of each vertex\n", " - beta0 (Float64): infection rate when not alert\n", " - beta1 (Float64): infection rate when alert\n", " - alpha (Float64): curing rate\n", " - kappa (Float64): alerting rate\n", " - t (Int32): number of time step\n", "\n", "* RETURNS\n", " - (Array{Int32,1}): The new state of the contact network after t time steps\n", "\"\"\"\n", "function SAIR(net, state, beta0, beta1, alpha, kappa, time)\n", " new_state, _ = SAIR2(net, state, beta0, beta1, alpha, kappa, time)\n", " return new_state\n", "end" ] }, { "cell_type": "code", "execution_count": 75, "metadata": {}, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAIAAAD9V4nPAAAABmJLR0QA/wD/AP+gvaeTAAAgAElEQVR4nOzdd0AT5xsH8G8S9t6bsBFwiwIKigMHOHBj1VbQOuvostXW2trl+rVWrVr3rrWKddRdtyiilKWyNzIE2TMB8vsjFhcqI8llPJ+/4nG5ezhDnnvu7n1elkAgACGEEKKo2EwHQAghhDCJEiEhhBCFRomQEEKIQqNESAghRKFRIiSEEKLQKBESQghRaJQICSGEKDRKhIQQQhQaJUJCCCEKjRIhIYQQhSahRFhSUpKWliaZfYmbQCCgvnRt09DQwHQIMomOW9vQn2qbKdpHTkKJ8PLly5999plk9iVufD6fz+czHYVMqq6uZjoEmUTHrW34fD6Px2M6CpmkaB85ujRKCCFEoVEiJIQQotAoERJCCFFolAgJIYQoNEqEhBBCFBolQkIIIQqNEiEhhBCFRomQEEKIQpPSRNgoEFTQoHVCCCHiJ6WJcH9G6tf3o5iOghBCiPxTYjqA5o2zttmQ9DC9qsJOU5vpWAghii4qKmrlypVMRyE5DQ0NHA6H6ShewGKx1qxZY2NjI46NS2ki1FJSnmbnuDk5YW23XkzHQghRdHFxcQUFBfPnz2c6EMW1YsWKtLQ0xUqEAELsnHwvn82oqrTV1GI6FkKIorO1tZ0wYQLTUSiuLVu2iG/jUnqPEIC2svK7tg5bUhKYDoQQQog8k95ECOB9e+d/8nOzq6uYDoQQQojckupEqK2sPNnGfnMyFYWEEELERaoTIYAZDs7n83OoKCSEECIm0p4I9ZRVJts4/EZ3CgkhhIiHtCdCADPsnc/k5uRQUUgIIUQMZCAR6quoTLKx35aayHQghBAiXS5fvjxr1qyxY8fOnTs3NDRUwnu/detWWVmZ8PX9+/e7d+8ufG1vb5+env7SyocPH546dapE42sxGUiEAGY5dDj1KPtRTTXTgRBCiLQ4fvz4xIkT3d3d58yZ07179/Pnz0s4gJCQkPj4eOFrMzOzRYsWCV+XlpY2Nja+tHJtbW15eblE42sx6R1Q/zx9FZWJXLttqYkrOnVnOhZCCJEKf/755+zZs2fPni3856xZs4Qvdu3aFRQUpKmpCeDGjRva2trdunVraGgIDQ2NjY1VVVXt16+fr68vgPr6+qNHjz548MDQ0HDcuHHW1tYAEhIS/v77bz6fP2rUqI4dOwKIj4/PycnR0tI6ffq0o6Pj1KlTlZSUrly5UlZWduLEidjYWB8fH1NTU1VV1abYysvLf/nll6qqqnHjxrm4uLwUuUAg+Ouvv2JiYrhc7pQpU9TU1MR/tN5ENipCAHMcO5x6lJVfW8N0IIQQIhXMzMwuXLhw//79l5YvWLCgtLRU+PrgwYPnzp0DsGLFis2bNzs5ORkaGl64cAEAn8/39fU9cOAAl8utrKy8fPkygDNnzgQEBADQ0NAICAi4fv06gBs3bsycOfOHH36wtbU9cODAO++882ow2dnZS5Ysafrn9OnTGxsbGxsb+/btGxsb+9LKY8aM2bNnD5fLvXXr1sCBAxsaGkR1TNpGNipCAPoqquOsbLelJi7v2I3pWAghBGvi42LLSiS2u/9162Wmpv78kmXLls2ePdvd3V1HR8fPz+/LL7/s1KnT694eERERHBw8bdq0piUHDhyoq6s7deoUi8VqWvjRRx9t37590KBBAMzMzFauXNmvXz8AdXV1oaGhqqqqkydPtra2jo2NHTBggK6ubmBgoJeXF4Do6Ojndzdv3ryZM2cC4PP5a9eu3b9/f9OPzp07l5aWFh0dzWazZ8yY4e3tfeHCBX9//3Yen/aQmUQIYLZjh8FXzs926GD64qeBEEIkb7iFtbeRicR2p6us8tISAwODI0eOVFRUhIeH79ixw9vbOzEx0czMrNm3z5s379133926dWtAQMD7779vbm4eFRU1YMCA57NgRUVFUlLSd999t2rVKuE/Hz9+LPxR9+7dhVc+NTQ0unTpcv/+/S5durwhWmF2BNC7d+9Tp049/6N///23qKho6NChwn9mZGQkJiZSImwpI1W1sdY221OTlnXsynQshBBF11FXj+kQAEBbW3vw4MGDBg0yNze/devW2LFjORxO08XG6uqnzxiOGjUqPz//ypUrBw4c8PDwSEtL09TUfOnpFRUVFQ6Hs23bNmNjY+ESNvvp7bPa2tqm1WpqajQ0NN4cVU1NTdMLdfUXShd1dXUvL6+dO3c+v6S1v7Voycw9QqE5ji5HszMK6E4hIUTh3bhxo6KiQvg6IyOjtLRU+LSLjY1NVFQUgJKSkkuXLglXKCoqUldXDwgI2L59e15eXllZ2dChQ0NDQwsKCoQr1NXVqaqqDhw48ODBg/r/4fF4wp/eunUrIyMDQGJi4oMHDzw9PQHo6ekVFxc3G9uhQ4cACASCQ4cOCR/MaeLn53ft2rWSkhLhLtTU1Orr60V8aFpJlipCAMaqaqOtuDvTkr5wo6KQEKLQTp06FRgY6OzsrK6uHhUV9fHHH/fq1QvAl19+GRwc3Lt378LCQjc3N+HKY8eOraur43K5cXFx8+bNMzIy6t+///z587t27erp6VlQUDBu3LjFixdv27Zt0qRJJ0+etLW1TU5OHjJkyM8//wyge/fu48ePt7CwCA8PX716tbm5OYDZs2dPmzaNy+UuXbrU0dHx+dhyc3P79+9fXV0tEAi2bt36/I86d+68Zs0ab2/v7t2719fXJyQknDlz5g13NyWAJRAIJLCb0NDQQ4cOHT16tP2belxbO+za+Yv9hxk+96iuJAlPkVRUXr5eT96qoqJCW1ub6ShkDx23tuHxeAKBQFUUXxT79u27dOnS3r17278p0SovL09NTW1oaHBwcNDX129anpeXl5mZ2a1bt8bGRjabraamJhAIkpOTnzx5YmNjY2Fh0bRmSUlJUlKSkZGRg4ODcIlAIMjIyCgoKLC1tRXecdy2bdvFixf3798fExNja2tramra9PaGhoby8nINDQ0Oh1NWVmZoaAigtLRUR0cnPT29oqKiU6dOSkpKAGpra+vq6nR1dYVvrKqqSkhIUFFRcXJyasnwiYEDB3711VcDBgwQwVF7hYxVhABM1NRGWnC3pyUucX3TrVpCCJF7Ojo6Tf1cnmdubi4s2pqwWCxnZ+dX19TX1xde53x+TTs7Ozs7u5fWVFNTe2lNABwOpykBC7MgAD09PQBNmbXp7c8nPE1NTXd399f/ZhIlY/cIheY6uRzOTH9SV8d0IIQQIv+6des2evRopqMQI5lMhGZq6iMsrXemJTEdCCGEyD8PD48pU6YwHYUYyWQiBDDP0eVQZloxj4pCQoiC+vXXX4U9Yl4nLy+vf//+dnZ2a9eubflm7969++TJk5avv3Tp0tWrV7d8fSkkq4nQXF3D38Jqd1oy04EQQggzzpw581I/l5fs3LnTyckpPT198eLFLd/sggULIiIiWr5+TU1N06hBGSV7D8s0me/kOvzaxen2TvoqzDw+Sggh0iAlJSU8PLxz58779+83MDCYN2+enp7e+fPnz549q6mpuXr16nfeeYfL5cbHx//1118VFRUjR47s06eP8L3l5eX79+9PSUmxtLScOnXqgwcPcnNzjxw5Ehsb269fv969e/P5/AMHDjx48MDe3n769OnCB14aGxv37t0bFxf30hhBGSWrFSEAC3WNoeaWu9NTmA6EEEKYFB8f/9lnny1fvrxTp07R0dFjxowBoKGhoaqqqqampq+vr6SkdPnyZX9/fy0tLScnp+DgYOFgtuLi4m7dukVHR3t4ePB4vJiYGHV1dSUlJS0tLeFQ94aGBj8/v6tXr/bo0SM6OtrPz084v9K8efN2797t7u5+/PjxY8eOMfz7t5sMV4QAFji7jbz+zwx7p1e78BFCiHjdW4Ci25LbXb+/oGH9uh/y+fw//vhDXV19/Pjxurq6FRUVffv27dSpk6GhoXB6psDAwHXr1glzpK2t7WeffTZ+/Ph169b17Nlz+/btz2/KxMTE399f2Pzz8OHDDQ0NwgGUkydPdnd3v3btmouLy/79+zMzM42MjKZMmdK1q8y3N5HtRGipruFnar47LfnDDh2ZjoUQomA6LIR9sOR2p/amBt+Ojo7Cjp1aWlo6OjpFRUXPN2FobGyMi4tbvnz5Dz/8AIDH42VmZgKIjY0dMmTIGzYbHR2dlJTUs2dP4T/T09OTk5PZbDaXyzUyMhIu9PDwaN8vxjzZToQAPnByHXPz0nR7Zx1lZaZjIYQoEm0npiN4hsPhvOGnbDZbXV1927ZtTXPkCied0NbWbupW2iwtLS0/P79NmzY1LdHQ0IiLi6uqqmpa8vxrGSXD9wiFbDS1Bppa7E2nx0cJIeS1RowYsXv3bl1dXWGra2H2CggI2L17d0nJ01kVhQv19fWbZl/y9/e/cOFCU4NsFotVX1/fsWNHHo935coVAAUFBcKJf2WazCdCAAucXHenJ5fz+UwHQgghUmrdunWPHj1ydnYeOnRohw4dvvvuOwDvvPPOyJEjXVxcBg8e7OLiIkxp8+bN+/LLLx0cHLZs2dKjR4/Vq1d7e3sPGDDA29u7a9euhYWF6urq27dvnzhxop+f35AhQ17tuyZzZK/pdrM+iopw0NKe7+Qqpu0/j5putxk1j24bOm5tI/dNt+vq6thstrKyMp/Pr62tbfqQCHtes9ns6upqYcftprc8efLk0aNHlpaWTX1BAVRUVKSnp1tYWDTd9gNQWVmppKQkfC+fz09JSVFRUbG1tW26BltdXZ2amurk5NTY2MhiscQ9pyA13X67Rc5u48Muh9g5aSrJyW9ECCFv1pTjlZWVlZ97SELY8xrAq9PnGhoaPp8ChbS1tV+dbl5LS6vptbKysqvry2WGhoZG586d2xq7dJGHS6MAbDW1fIxM92XQmEJCCCGtIyeJEMB8Z9edaUlVTM90TAghRLbIz4VERy2dPkYmBzJSZzt2YDoWQggRu5UrV0ZFRbFYLDMzs759+44dO5bNluraZtmyZTweb82aNUwH8jKpPmqttcDJbXtaYjUVhYQQBXDz5k1VVdXx48c7OzsvXLjwxx9/ZDoiWSU/FSEAJ20dT0Pjg5mpMx2oKCSEyL/OnTtPmDABQH19/b59+5YtWyZ8vWfPnujoaEtLy7lz5zY9O3Px4sWLFy/W1NT4+PgEBQUByMnJ2blzZ1FRUdOSEydOmJmZNY2IOH78uLm5uaenZ2Nj48GDByMiIoyNjWfPnm1qagrg8OHDLi4uV69effjw4bp165SVlXft2hUXF2dtbT1nzhxdXV0AjY2NO3bsiIqK8vLykswghTaQq4oQwCLnjjvSkmoaGpgOhBBCJCc/P1/4nKdAIPD397927drgwYMrKyt79+5dV1cHYO3atfPmzXNzc/P19Y2JiQGQl5fn7u7e0NDQr1+/NWvWCKdqevz4sTCbAuDz+bNmzRKOoHjnnXeOHTs2aNAgNpvt6elZXl4OYOfOnePGjSsrK/Px8REIBIMHD759+/bgwYOLi4t9fHyEI80WLlx48ODBIUOGxMbG7t69m6HD8xZyVRECcNbWcdc3+j0zdYa9M9OxEELk2dkFZ7NvZ0tsd5P+mqRjrfPSwmPHjqWmpubk5Dx8+PDgwYMAzp8/X1hYeOHCBRaLFRgYGBkZefLkyeHDh3/99dcRERGdOnUCMH78eACbN28eMGDAt99+C6BHjx6urq7Lli0LCgr6+OOPs7Ozra2t//77bysrq65du0ZERNy5cyclJUVJSWn06NHx8fGHDh2aPXs2gDFjxixfvhzAyZMnq6qqdu/eLdzv3bt3z54927dv3507d6alpZmbm48ZM+bevXsSO1ytIm+JEMCHHdzeDb8+2cZB/Y3N9wghpD08F3p2C+4msd1pmmi+utDJyWngwIFxcXHx8fHGxsYAYmNjs7Oze/XqJVwhKyvL19c3NTVVRUVFmAWbJCUlNfXLdnBw0NHRSU1N7dGjR2Bg4P79+7/44ou9e/cGBwcLt1lSUuLl5SVcOTc318LCQvi6aeqJ2NjY9PT0pv1mZmampKRYWFgYGxubm5sLF7q7u4vscIhUSxNhWFjYmTNncnJyuFzunDlzLC0tAdTV1X399ddN6/j6+gpn7mCWs7ZuNz3DPzLTQuylqCUuIUTOGDgZMB0COnfuHBQUFBQUxGaz586d+88//+jo6Pj4+Jw4ceL51bKzs6urq/l8/vPj7nV0dIRXOAE0NDRUVlbq6OgAmDZt2gcffDBr1qxLly4JZ2jS0dHp3LnzzZs3Xw2gaYM6OjoDBgw4cuTI8z9NSEioqKgQCATCHt/l5eUGBswftFe19B7h3LlzlZSUBg8e/OjRI3d394KCAgA8Hm/16tU6OjrCfqzibrHTcos6uP2WmlBLdwoJIYrh008/jYqKunTp0tChQ2/cuNF0EbK4uLi4uNjKyqpz584//fSTcGFpaSmAwYMHHzp0qKysDMCuXbtsbGzs7OwADBo0qK6ubsGCBYMHDxZWmb6+vgkJCZcvXxa+vby8vKkrdxN/f/9Lly5FR0cL/1lUVFRaWuro6GhgYBAaGgqgoKDg5MmT4j4ObdPSijA6Olo4QmXq1KmdOnU6f/78e++9J/zR4sWLlaVsCiQ3Hb0uegZ/ZqW/Z+fIdCyEECJ2Ojo6H3744fLly8PCwvbs2TNu3DgTE5OGhobS0tKTJ08aGBgcPHjwnXfe2bdvn46OjkAguHPnzoQJE8LCwlxcXKysrIqLiw8dOiTsI8pms999990ffvihqaw0NTU9fPjwzJkz9fT02Gx2YWHh77//bmLywvyITk5OO3bsGDVqlJmZWX19fVlZ2enTp11cXHbv3h0UFPTTTz9VV1d7e3szcGhaoNVNt+vr67lc7o4dOwICAioqKnR0dJYtW8ZisQYMGPCGdqjibrr9qgdlpTMibl4d6K8m6juF1HS7zah5dNvQcWsbuW+6/WY5OTlsNtvMzOz5UfYFBQV8Pt/S0lJ4rRJAdXX1kydPrK2tW7LN3NxcgUBgZmb2hukPs7OzORyOubl50y7q6+uzsrKsra3bUzJJV9Pt5cuX29jYDB06FACHw5k8ebKhoWFhYWFQUNC8efO++eab170xJiZm7Nixwtd6enobNmxoa8wtYsNR6qCpdSAlcZIlV7RbpkTYZlVVVU1/G6Tl6Li1jTAR8kUxQVttba3UjoF7HSsrq1cXCsf/PU9DQ+PV3tyv0/SMzBu8mlOVlJTs7e1buIvXEQgENTU1lZWVrX2jhobGWxvutC4Rbtq06fDhw9euXROeDmhoaAgf2AUQEBDQv3//zz///HV3Cs3MzCZNmiR8ra6u3vJD32Yfu3aeGxk+1cFZRaRth5SUlECJsE0aGhok8P8uf+i4tY2SkpKoKkJVVVU6F2EWi8VSU1Nrwx9CS9rOtSIR7ty5c+3atVeuXGn2RKNr16719fUFBQW2trbNvt3U1HTixIkt3137ddU37KCtc+xR1mSb9p6MPE94WKW8p590YrPZdNzagI5b27DZbIFAIJJDJ3NZkM/ns1gsJfmalo7FYonpD6GlG927d+9XX3117tw54WNFQiUlJY2NjcLXBw4cMDY2buGFZolZ5NxxU3I8/78gCSFE/hw4cGDSpEnV1dVNSz766KOVK1e28O2VlZUvDbdQNC1KhAKBYMaMGXV1dcOHD3dwcHBwcNi0aROAw4cPC+8X9uzZc/ny5Xv37n3DHVRGdNM3cNTSCc3OYDoQQggRC4FA8O233964cePYsWNt20JBQUFISIhoo5ItLSqcWSxWUlLS80uEgyLnzJnj5+eXmZmpra3dsWNHTc1mGh8wblEHtwWR4eOsbZXp4hIhRO7cuHGDz+d///33u3fvnjp16qsrFBQUbN68OTMzs3v37nPnzlVRUeHz+V999VVwcPBvv/2mr69fXl5eU1OzZMkSAJ9//rm+vr7EfwmGtTQ32L+oqZ25o6PjoEGDPDw8pDMLAuihb2inpX0sJ5PpQAghRPR27949bdq0iRMn3r17NzU19aWfFhQU9OzZU0NDY/LkyZGRkZMnTwZQX1+/evXqOXPmeHh49O7d28XFhcPhuLu7u7u7K+ZjgHJ1K/V1PnLu+HHUnXHWtkqydsebECK9goNx44bkdnfpEl55FLGysjI0NDQqKkpTU3P06NH79+9/aQzb+vXrR48e/fnnnwMYMGCApaVlTk6OoaEhgB9//LFPnz4AhJ1IhdM5KSaFSITuBoZWGprHczLHW9syHQshRF6sXImaGsntztLy1WWHDx+2tLQsLS2NjIzs0aPHL7/8snz58ucfrbx///7t27fPnDkj/GdZWVlaWpowEb7Ug1uRKUQiBPBRh46fRt8dbWVDRSEhRDT+m1SBQbt379bQ0BDe3gNQXl5++fJlPz+/phX09fU/+eSTphWEampq8Fy/bJkbHCJyivL8SE8DIzM19ZOPspgOhBBCRCMpKenu3bsXnzN79uyXJr8dP3781q1bHz16JPzngwcPXm2RY2hoWFlZWVxcLKG4pY+iVIQAFjm7LY2NHGXJpaKQECIH/vzzz3Hjxj0/sdGUKVOGDh1aUVGhoqIiLPhGjhyZlpbWq1cvY2Pj8vJyIyOjO3fusFgsfX39pkJQV1f3008/7dGjB4fDuXbtWrMtU+SbAiXC3kYmpmrqf+dmjxZ191FCCJG8ZcuWvbSkU6dOwuLv559/blq4aNGiRYsW5ebmNk2Wp6am9lL99+OPP/7444/iD1lKKcqlUaGFTq7rEx80yFrzXEIIaScLCwvpmTJW2ihWIvQ2NjVWVTudm810IIQQQqSFYiVCAAuc3TYmxTdSUUgIIQSAAibCvsameioqZ/NymA6EEEKIVFC4RAjgAyfX9UkPqSgkhBACxUyE/U3MNDhK5/MfMR0IIYQQ5iliIgSw0Nntl8QHVBQSQghRoHGEzxtoar4+6eGF/Nxh5s207yOEkOc5OzsvXbrUwcGB6UAkRCAQSFvftby8PDU1NTFtXEETIYCFzq4/JzwYam4pXf/bhBDp4+XlFR4ezufzmQ5EQqqqqqRtZj1lZWVra2sxbVxxE+EgU4v1SQ//yc8dbGbBdCyEEGknvm9hKVRRUaGtrc10FJKjoPcIheY7ua5PekD3CQkhRJEpdCIcbGbJButyQS7TgRBCCGGMQidCFjDPyfWXxIdUFBJCiMJS6EQIYKi5ZYNAcPVxHtOBEEIIYYaiJ0IWMN/JdV0C3SkkhBAFpeiJEIC/hRVP0Hj9cT7TgRBCCGEAJcKnReH6pIdMB0IIIYQBlAgBIMDcqqq+/mZhAdOBEEIIkTRKhADAZrHmObmsS3zAdCCEEEIkjRLhUyMsrMv4vLCix0wHQgghRKIoET7FYbHmO7muS7zPdCCEEEIkihLhMyMtuSU83m0qCgkhRJFQInyGw2J94OS6gR4fJYQQRUKJ8AWBltyC2to7TwqZDoQQQoiEUCJ8AYfFmuvkQkUhIYQoDkqELxtrZZNbU323uIjpQAghhEgCJcKXcVisOY5UFBJCiKKgRNiMcVY2mVWV96goJIQQBUCJsBlKbPZcR5eNSfFMB0IIIUTsKBE2b4K1bVpVBRWFhBAi9ygRNk+JzZ7j2GFzcgLTgRBCCBEvSoSvFWRtl1xZHlNazHQghBBCxIgS4WspsdkzHZzp8VFCCJFvlAjfZBLX/mFZaSwVhYQQIr8oEb6JCps9x9FlYzI9PkoIIXKLEuFbTLKxu19aEldawnQghBBCxIIS4VuosjmzHDpsoqKQEELkFCXCt5tsax9TWhxfXsp0IIQQQkSPEuHbqbI5MxycqdEMIYTIJUqELfKurUNUyZOE8jKmAyGEECJilAhbRJXNmW7v9CvdKSSEELnTikRYVVWVm5srEAheWl5eXp6bmyvSqKTRFFuHiCeFiVQUEkKIfGlRIszKyvLw8DAxMfH09LSwsDhx4kTTj5YsWWJjY9O7d28PD4+CggKxxck8DY7SdHunTSlUFBJCiFxpUSJks9nLli2rqKjIzs5eu3btlClTqqurAdy8eXPPnj3x8fGZmZmurq5fffWVmKNl2Ht2jreLCpMry5kOhBBCiMi0KBFaWVmNGjWKzWYDCAwMrKqqEhZ/Bw8enDBhgpmZGYD58+cfOnSosbFRrOEyS4OjFGLntC0tmelACCGEiEyrH5Y5dOhQhw4dbGxsAGRkZDg5OQmXOzs7V1ZWFhYWvu6NNTU1af/JzMxsc8TMCrZzDHtSmF5VyXQghBBCREOpVWtHRER88cUXp06dElaHFRUV6urqwh9pamoCKCsrMzU1bfa9kZGRgwYNEr42Nja+dOlS26Nm1EQzyw2JD1Z17MZ0ILKnspJOINqCjlvb8Hg8gUDA4/GYDkT2yNNHTkNDg8PhvHmdViTCqKioUaNG7d27t3fv3sIlJiYmpaVP+62UlJQAeF0WBODj43P06NGW705qve/kMvjGpUIW7LW0mY5F9mhr00FrCzpubSBMhKqqqkwHIpMU6iPX0kujsbGx/v7+69evHz58eNPCLl26RERECF/fuXPH1tZWV1dX9DFKGS0l5alcuy0pNHk9IYTIgxZVhFlZWX5+foMGDWKz2UeOHAEwYMAAIyOj6dOnd+7cef/+/a6url9++eUHH3wg5milxXtc+8E3L2VUVdpqajEdCyGEkHZpUSKsqKjo379/Q0ODMAsC6Ny5s5GREZfLPXny5KpVq0pLS995552PP/5YnKFKEW1l5fdsHbakJKzu2pPpWAghhLRLixJhx44d//zzz2Z/5Ovr6+vrK9KQZMMMe+f+l89mOVVxNTSZjoUQQkjbUa/RNtJWVp5sY7+Zuo8SQoiMo0TYdjMdOlzMz82urmI6EEIIIW1HibDtdJSV37Gx/40eHyWEEFlGibBdZtg7n83LyaGikBBCZBYlwnbRV1GZxLXfmprIdCCEEELaiBJhe8106PD3o+xHNdVMB0IIIaQtKBG2l76Kyh5KhdcAACAASURBVESu3TYqCgkhRDZRIhSBOY4dTj3Kzq+tYToQQgghrUaJUAT0VVTHW9tsTaGikBBCZA8lQtGY5dDheE4mFYWEECJzKBGKhpGq2lhrmx2pSUwHQgghpHUoEYrMHEeX0OyMAioKCSFEplAiFBljVbXRVjY706goJIQQWUKJUJTmOroczc54UlfHdCCEEEJaihKhKJmoqY204NKYQkIIkSGUCEXsAyfXI9npVBQSQoisoEQoYiZqasMtrOlOISGEyApKhKI3z9HlUGZaMY+KQkIIkQGUCEXPXF0jwMJqV1oy04EQQgh5O0qEYvGBk+vBjNQSKgoJIUTqUSIUCwt1jaHmlrvTU5gOhBBCyFtQIhSXBc5uBzJSy/g8pgMhhBDyJpQIxcVSXWOwmcVuulNICCHSjRKhGM1zdNmXkUJFISGESDNKhGJko6k10NRiL90pJIQQKUaJULwWOLnuSU8p5/OZDoQQQkjzKBGKl42mVn8Ts30ZVBQSQoiUokQodouc3fakJ1fV1zMdCCGEkGZQIhQ7G00tHyNTulNICCHSiRKhJHzYoeOu9CQqCgkhRApRIpQEW02tPkYmBzJSmQ6EEELIyygRSshCZ7ftaYnVVBQSQoiUoUQoIY5aOl6GJgczqSgkhBDpQolQchY6u21NpaKQEEKkCyVCyXHW1vEwMP49K43pQAghhDxDiVCiPuzQcXtqYk1DA9OBEEIIeYoSoUQ5a+t01zP8I5OKQkIIkRaUCCVtYQe331ITaqkoJIQQ6UCJUNLcdPS66BkczkpnOhBCCCEAJUJGfOjccUsKFYWEECIVKBEyoKOuXkddvSPZGUwHQv4jaERhGASNTMchg0rj8CQCjTTRmNwQoOyh0uPzqMllOhLJUWI6AAX1UYeOs+7eCuLaqbDpXIRplWkID0F5ArSd4LUb2k5MByQjGusQ+zXS90HNBBWp0O8G4z4w6g2j3lAzZTo40hr8CjyJQNEtFIWj6DZUDJTVuIieCyVNGPWBkReMekO/G9jKTAcqLpQImdFJV7+Dts6R7PQpNg5Mx6LIBEjZjphlcP0Egy4hdRcueMP1E7guBotOUN6oJAbhwdB2QkAMVI1RX4WSKBRHIuN33JkJtjKMfWDsDQN3GHqArcJ0uOQVNbkoDEPhTRRHoiQKOq4w9oZNEHptgSa3pqJCW1v72TpZfz5bx9gHJr5QM2H6FxAllkAgkMBuQkNDDx06dPToUQnsS9x4PB4AFZX2/m1HlxTPi7x9baC/ssIUhRXCvy4pUZWJOzNQXwWvPdDp8HRhZTruzEBDHXrvkZ7SULqOWyMfCT8j4Wd0+Q6Os5pfpzLt6TdsYRgqkqDXBQbuMPaBaX+oGkssUh6PJxAIVFVVJbZHqVZfjZJ/n/6nPL4GFufpf4qxNwx7gf3CUWrmI1dfiZLop3mx6DbYKvJ0rkMVIWO66Rs4aemEZmdMsrFnOhbFk74P/34K10/g+ilYnGfLteww6BJStlNp2LzSOIQHQ80M/lFQt3jtalr20LKH3XsAwK9AaQwKw5C+DxFzwFF9+gVq7AP97nR4xasm92nmK7yJkmho2sDYB5Yj0G01tOxatyklLRj7wNgH+Bx47lwnff+L5zoDoGokjl9FrKgibDVRVYQAokqezI8Mv6owRaFUVDY1eYiYjdoC9N4DHdfXria8cShohNduaDtKML5mSMVxE9Qj/qe3FIJv30gDyhOefTVX50Cv89O8aNQHqoYijVghK0JBPUpinqaoxzfQUAvDns8qP456CzfTuo8cvwJP7jy7BqCi/7RSlJ1zHaoImdRd39BOS/tYTmYQt5VnZ6Rtso7g3gLYB6Nv6Fvu/GvZY9AVpO7Axb7osgKOMwGWpKKUPmUPcDsYqkYYFgkNq7Zvh8WBbkfodvyvWCzHkwgU3kTKNtx+DyoGTytFY2/ouMrEF6hUqMlD8b2nSagoHJpcGPvAzA9un0O3oyQCUNaGmR/M/IAXz3VStr1wrmPsDRUDScTTelQRtpoIK0IAkcVPFv0bfkUxikImK5vafETMQWU6eu+BfvdWvLHsIcKDoaIPzx3QsBZbfG/C5HETSSHYoh01oDzh2eMb1Tkw9PivsOgLFb02bFJuK0JBPcoTnztWj2DY6+mxMukHZd3270FkHzl+GZ7cReFNFIah6BbUzJ6d6+i6Sc/JZUsrwrKyssjIyNjYWDs7u8DAQOFCHo+3bt26pnU8PT379+8v8hDlm7uBoY2m1vFHWROsbZmORX41FYI+f7b6rr6uG4bcQvxPONdT7MlA2jSdBAy7J/aTgKZiUXiEa/Px5C6KI5G4AWGTocl9dn1Pmr5AJeeFjBL+7IC4fS7VB0RZ9+ViUZi/E9e/kL/beq4jKi2tCD/99NPLly/X19e7uroePnxYuLCiokJHR2fx4sVsNhuAr6+vv79/s2+nivAN7hUXfRp9958Bw5RY0vppFhEGKpvax7g7FxVJ8NoDA/d2barp8qDn9nZdHmw9Bo6boBGpOxD7tVRcFn6+ACoMQ30VDHs9TQNGfaCk8br3yXZF+Ib7qcY+UNEX684l8ZFrOtd5/oquMC9KPLW37tLot99+++DBg5cSIY/HU1Z+y0BLSoRv9s6tqxO4dmOtbES4TSkk6S/0rCO4txD209BlxUtPh7eRxK4TvkjSx02aHhRqRrNPQj79An3hlpjsJcKmm6ZMP3Ui6Y/c88/4FN5EfU3bnvFpMxE8LPO///2Pw+H079/fw8Oj/VtTTAud3ZbGRo6y5Mp9USghvBLcW4iSf+F7Eoa9RLZZlhLcPodFAMKDkXMCntvfNIRAJj3XYUBqh46oW8DSApYjAaCRj9JYFN5E/j+IXY5G3rNvT4OestFC8tUxl8Y+cJwFr92yOA6hjVhKMHB/ds2m6Vwn7psXznWMfaAllsFm7UqEbDY7MDCQz+cXFBQMGzZs6dKlixcvft3KMTEx48aNE77W09PbuHFje3bNIGFFWF9fL8JtdtXQMlZRPZaeMsLMUoSblSqs7Gz2zp3VX30FDufta7cDJ/eESuzH9daT+b43wVZFdbWId6DiAJ9Lygkrlc704HVZ22A5TsTbf0VNTQ1HzAcNAKsqTTVqDsCq63dFoGmHmlpx71E01Fxh7QrrmQBYVemckgh28R12+iF2VQpbu1OjqlmD+A9dG/HL2MV3oWbSoO/RaODZ2G1Ko7brs1GtDRD9R7fFJPORez096A+C/iA4A/XV7NIoTskddsYR9r+f5iRb15lOtgia2/Jtqampsd/2KGK7EqGmpubx48eFrwMDA4cNG7ZgwQI1NbVmVzY1NZ04caLwtbq6uixdr3gRi8WCqC+NAljo7Lb8ftRorh1HLovCkhLO2LGN1dWsqqrGDRvEtRdeMTtyIas0utEnlG3oKc5PmCq6/yiwGasaMV2Qf6rRfaNYT955PJ6Y/14ErOQt7AffNbotFTjNV5HOQrAlVF1g4AKH9wRAQ31lQ0E46gpZb7txwxglzUaDnlA1ZgEcQKrStfg/ci2mqgrNgQKzAQknEsPXhVfllw74qkurYmO14BtVZOMIPTw8eDxeXl6enV3zQ+LMzMyCgoJEtTsGCU+URH661NfEzFhV7VxB7ihLrmi3zLzaWowdi+HDqz/6SGv4cM6aNVi6VPR7yT2LiNmw8Mewe2wlTdFv/1XGnvCPZj34gXO+O3puhLW4SkMOhyPG0/OmVnODb7CbWs3JAY5ug9kAgUDAlpIvdJki3o9ca/AqeXG/x93++baKlornQs/OkzuzlUR/otauRPj8DdXQ0FB9fX0uV+6+xCVogbPbt/ejR1hYs+WpKGxsxLvvwtISq1YJqqpw+jS8vWFmhpAQke2CX4aoz5D/D3rvg2l/kW22JdjK6PwNLPxxOxiZh9Fri8jbo4jX61rNEcK0qoKqu1vu3t1818rTKnBnoLW3GAfwtDQRHjt27Mcff8zLy6upqenZs2dQUNDixYv37du3YcMGNze3kpKSmJiYXbt2SclJhIzqa2yqp6JyJi9nhAUzA7fF4qOPUFSEc+cgvExvbo4LF+DrC3NzDBsmgu3nnUfELJgPQ0AMlLREsME2MPSEfxTivsGZLui1CVajmQmjVWryEDELtY8x+NqbWs0RInEFMQV3N9+NPxbvOtZ1+o3phh3EfnLZ0kTYt2/frVu3Nv3TxMQEwJw5c/r06ZOZmamjo9O9e3d9ffEObVEE851cf3gYE2BuJSdF4cqVuHwZN27g+ctTjo746y+MGIGTJ+Hl1faN88sRtRj5F+G1G6YD2x9su3DU0G0VrAJxOxgZv8PjN6ntJgUIB5bMh30I+h6T40nmiMzJupkVtjosNzLXfZb7/MT56gZiHzgh1NJEaGxsbGz88vwpHA6ne/fu3bu3pmEVeSNfE7Nfkh6cz3/kby7RIdticegQtmxBWBj0XukZ4eGBnTsxZgyuX4dTm2Y7yr+IOzNhPhT+MVBmuiF1E6PeCIhG3Aqc7oxeW2A1iumAXtHUam7Auda1miNEbBp4Dff/uH9r7S0Wh9VrXq8JRyYoqUm0DzY13ZY6C5zcVsfHDjWzlO2i8MoVfPIJLl2C9Wsu844ciRUr4O+PW7dg0ppJPuurcf9bZB6G546nrZukCkcd3VbBciTCQ5BxAB5bxd0EpBXa02qOEDGoLqqO2hkV8WuEkYvRoB8HOY1waslDniJHiVDqDDQ1X5/08EJ+7jBzmR1TGBeHyZNx5Ahc33jzadYsZGVhxAhcuQLNlj3nWRiG8BDod4P/v1KUYF5l7A3/aNz/Fmd7wHM78wm79jHuzkFFMvqfgUEPhoMhBChJLbmz4U7M/hjnEc5Tz0017ii5GZtfJbMDhuTaQmfXdYkPGiUyMYjopafD3x+//gofn7ev/N136NQJQUF4a4OChhpEL8HNiej+P/j8KdVZUEhJA91WwXMb7ryPiNngVzAWSdYRnOkKbWcMu0dZkDAu62bWkYlHdvnsUlJXmnd/3ph9Y5jNgqBEKJ0GmVqocTj/FOQyHUjrPXkCf3989hnGtWxQHYuFrVvR0IC5b2wVUXQbZ7qhMg3D46TxxtsbmA1GQCwAnO2KgsuS3ntdIW5OQNwK9D+FbqtE03CVkDYRNAqSTiXt7L3zRMgJrjd3YepCv1V+2hZScYOfLo1KqflOruuTHgw2s5Sl+4Q1NRg1CuPGYeHCVrxLWRmhoRg0CCtW4OuvX/5pQy3ivkH6fpkZlvAqZR14bEXeeYSHwHwYevwkoWEej/7G3XmwnYw+BygFEgbxKnhRu6Ju/3xbx1qn98e9Xce6sjjS9cVGiVBK+ZlZbEx6eLkgd5CpjLR1bmjAlCmwtcX337f6vRoaOHUK3t4wNsa8ec+WP7mD28HQ64yAWBkbqP4q86EIiEXUZzjTFV67YOIrxn3xShH9OfIvoc9BmPQV444IeaPKvMp7W+9F/Bph3dt6wp8TLD2l9LkHSoRSigXMc3L9JfHhQFML6Tp3ep0PP0RZGf74A2176MvICGfOoF8/WFhg9Gg08vHgB6RsE2vrMklT1oXHVuSexa13YeGPHj9DHK3gcs8iYhYsAhAQI5btE9IC+VH5t9fdTj6d3GVql9n/ztbl6jId0ZtQIpReQ80tNyQ9vFKQN9DUnOlY3mbFCty+jatX0Z5e5A4OOHECAQFQL0fjOmg7ISAGqgzfRRc9C38ExCL6c5zpCq/doqzYmlrN9Tkg3oqTkNcQNAqSTyff2XCnOKW455ye/hv81fSan4ZBqlAilF4sYIGz6y+JDwaYmkt1UXjgAPbtQ1gYtNp966tHV3w7ApNC8Oc38PlKFMFJJRU9eGxF7mncegfW49B9jQju4UlDqzmiwBrqGu4fvn9z1U1ldWXPReLqji0mMhOoYhpmbsUXNF5/nM90IK935gwWL8aZMzAza++mSuNwwQsuBfjpF8zZg3wp/q1FwmI4/KNQk4uz7nhyt+3b4ZcjYjbuzoXXHnhspSxIJKzqcdXVb67+bP3zwyMP/Tf4z4qc1fW9rjKUBUEVoZRjAR84ua5Peuhr0u40Iw737iE4GMePo0P7pu8R1CP+JyT8jC7fwXEW+gPZxRgxAleviqDKlGaqxvA5gqwjuDYK9tPQZUWrS0PpbDVHFMOTpCd3N92N2RfjPNI55HqIkYsYZ+UUK1lK2oopwNyqqr7+RmEB04G8IjUVgYHYtg19+rRrO2UPcL43Cq5iWCQcZz1d+PXX8PJCYCB4vPZHKu24ExAQg4oknOuJ4n9b+q76akQvwZ1Z8NwBj62UBYkkZd3MOjTy0B7fPWr6agtTFo7ZN0Z2syCoIpR+bBbrAyeXXxIf9DU2ZTqW5xQVISAAX3yB0e0Y2/dSIfiS9esxYQJCQnDgQBufRJUhaiboewxZR3A1APbB6PLtW3qBFoYhPBj63aW91RyRL0+7Y//vFovF6vUBA92xxYQqQhkw3MK6jM8LK3rMdCD/qa7GyJGYPBkffND2jZQ9xAVvFFzGsHvNZEEAHA4OHkRGBr6S36dmXsKdgIBolCfgXC+URDW/jrDVXFgQevwsG63miFyoK6u7s/7OBocNkdsiB/0waHb0bPdZ7vKRBUEVoUzgsFjznVzXJd73NmJ61j0AfD7Gj0enTs10gWkhQSNSdyD2a3RZAceZwOurPXV1nDwJb2+YmmLBgjbuTraomaHfcWQdwZVhsA9Bl+9emC+w6DZuB0O/KwJipXq+QyJHStJK7qx/2h17ypkpJp1bM1eMjKBEKBtGWnI3JsffLnrc24jRT6FAgDlzwGZjy5Y2bqEyDeEhEDRi8A1oO759fUNDnD2Lvn1hYdHS/qVygDsBxj6ImI2LPui9BywreWg1R2RNXmRe+Ppw4aD4eXHztC3l9j40JULZwGGxPnBy/TnxwRFmE+FXXyEuDleuQKn1nxxBo0raZqT8hC7fwGnumwrBl9jZ4exZDBkCU9MWzWghH9TN4XsCKdtw0VeVOw0Fp2DgjuFxVAgScasrr0sITYj5LaampKb3R71H/DZCWUP57W+TZZQIZUagJffXpPg7Two9DRlqtrJtG/74A2FhLZ078HmVqQgPUWpoxNBwaNm3+u2dO+PgQUyciEuX3jLHoVxhwXE2zIey7i5G15WwHsN0PERuPUl8kn07O+d2Tvat7NLMUvNe5n2/6Os80pnFlvfn1ABQIpQhHBZrnpPLhqSHB3sz0T3r77/x9de4fh2mrX14VYCU7YhZBtdPqq3maGu1teXgwIH46ScMHYqwsNfOei+XNG1r3Xcpa8vtVSnCCH4VPy8qLy8yLyssK+NqBluJbeFuwfXhdnm3i2Uvy2petbYifeQoEcqSMVY2m5LjI54Ueki4KIyIwPTpOHkSTk6te2NVJu7MQH0VBt+ATgdUtG9y2nfeQUYGAgJw4wb09Nq1KUIUT0VuRXZYdtbNrNzI3PzofCMXI64313mE8+A1g/VsX/yDUoDhu8+jRChLOCzWHEeXDcnxBySZCFNSMGYM9u2Dl1fr3pi+D/9+CtdP4PopWBzRBLN0KfLzMWYMzp2DKs2xR8ibNPIbC2ILhJkv83pmA69BWPb5TfCz6GkhN4Mf2o8OhIwZZ2WzKTn+XnFRTwOJ9HHIy8OQIfj+ewwb1op31eQhYjZqCzD4GnREfUtv3TpMnIjgYBw8CDYNhCXkBRW5FcILnlk3s/Kj8/Vs9Lg+XHs/e5/PfYw7yt1cLiJCiVDGKLHZ8xxdNibF7/US/4SrFRUYPhwzZyIkpBXvyjqCe/NhH4K+oS+MgRMVNhsHDmDIECxZgjVrRL99QmRKY33jk8QnwsyXHZbNq+JZ9rI0dzfv/01/6z7Wcv/Ap0hQIpQ9461tN6ckiL0oFA6c9/DA0qUtfUttPiLmoDIdA85Bv7sYY1NTw6lTT2fx/fBDMe6IEKlUmV+Zezc3NzI3Oyw7JzxHl6tr7m7O9eH6fO5j5GbEkvuWhKJGiVD2KLHZsx07bEqO3+0ptqJQIMDMmVBVxaZNLX1L1hHcWwD7YPj8+ZY+mSKhq4szZ9CnD4yMMHWq2HdHCKMEDYKihCJh2ZcXmVeeU27pYWntbe250HPCnxPU9GVg8ltpRolQJgVZ2/2WkhhTWtxVTzzDqz//HAkJuHwZnBY85FL7GHfnoCIZ/c/AoIdY4mmWpSVOn8agQTAzg5+f5PZLiETUldc9ingkzHxZN7PUDdStva0t3C28FnmZdTdTkBF+kkGJUCYpsdmzHDpsSHq400MMnVa2bMHff+PmTWhovH3lrCO4txD20+B9SATTrLdWp044fBgTJ+LiRXTtKum9EyJqJWklwlt9WTezynPKTTqbcH247rPcR+8ZrW6oznR0cosSoawK4tptTo6PLS3uItqi8ORJrFyJ69dh8LbN1hXi7jyUxaP/KRj0FGUMrdK/PzZuxIgRCAsDl8tYGIS0Ca+Clx+TL8x82beyOaocrg+X6811n+VOZZ/EUCKUVSps9hxHl43J8dt7eYtso9ev4/33ceECbG3fsmbuaUTMhe1k9DnAQCH4kqAg5OTA3x83b0KfpiUiaKxvLIgtyLiRUZ5TzmnJ5X0mVBdV54TnlGWVWfS0sO5j7T6byj7GUCKUYZNs7H5LSYgrLemsJ4pv/4cPMXEiDh5Et25vWo1XiujPkX8JfQ7CRPxDOFrok0/w6BFGj8b581CjBwcUUXVRdc7tnOzb2dm3svP+zdOz0bPwtNCz01NqQ4N4idCz0fP4wMOkswlbiYbDMkxKPyKkJVTZnFkOHTYlx//Wq097t5Wbi4AArFmDwYPfuNpZRMyCRQACYqDU+tbbYvXTT5g2DUFBOHasRc/4ENnX7B21Pp/0se5jrW6ozuPxBAKBKnUgIm9DiVC2Tba135aaGF9e6qrTjt6b5eUICMCCBXjvvdeuwy9D1GfI/wd9DsCEia7fb8ViYccOjBiBBQuweTPT0RCxoDtqRBwoEco2VTbnfQfnjUnxm3v2buMmeDyMGwdvb3zyyWvXyTuPiFkwH4aAGChptXFHEqCigqNH4euLtWuxeDHT0RDREJZ9wrZhT5KemHYxtXC36Ppe18BdgRrGLXiwmZC3oUQo86baOuxITUooL3PRaf0MRwIBZsyAgQE2bmx+BX45ohYj/yK89sB0QDtDlQQdHZw+DW9vmJhg2jSmoyFt8cIMQVcy2MpsYdnnNsHN0sOSo0LXvYmIUSKUeapsznR7p43JDze5t74o/PhjZGXh/Pnmu1fnX8SdmTAfCv8YKMvO5GQWFjh9GgMHwtwcQ4YwHQ1pkRdmCIrKN3J9OkPQkLVDdG3aOoclIS1DiVAeTLF12H4pKbG8rEOrisK1a3HxIm7caOYxy/pq3P8WmYfhuQNmMti0xc0Nx49j9GicPYvu4ux6StqqaYagrLCszGuZLA6LZggiTKFPmzzQ4CjNsHfelBK/oUeLpwz84w9s3Nj8wLvCMIQHQ787/P+FiswOy/PywrZtGDUKN268fVgkkYhmZwhyHuHst8pP315mP2lE9lEilBPv2jn4XjqbVFHmrN2CovDqVSxahIsXX27F0lCDuBXIOICem2E1SkyhSs6oUcjNxeDBuHULxjQTGwMa6xsLYp5ODJt1M6u+pt6ip4VwhiCuN1dJnb5/iFSgD6Kc0OAohdg5bU5O+KWH51tWvX8fQUH4/Xd06fLC8qLbuB0M/a4IiIWKeHp5S96cOcjIwIgRuHwZmlI28FFOvTpDUNPEsDRDEJFOlAjlR7Cdo+/ls6mVFQ5ar3+wJScHI0bg118xaNCzhQ21iPsG6fvRaxOsRksgVIlauRIhIZg0CX/9BWltMiLTXp4h6FG5Za//Zgg6MkFNjxr9EGlH3wvyQ0NJKdjOcWPSw9cWhcXFGDIEH36ICROeLSwKR3gI9DojIBaqhpIJVaJYLGzfjpEj8cEH2LqV6Wharbqw+vi04zWPa5gOpHmCBkFxSrGenZ51H2v7Qfb9vuxn2EEeP0VErlEilCshdk6DrpxrfkqKmhoEBmLkyGdTuj8tBPeh56+wHivhUCVKWRlHjqB/f/zwA778kuloWqE0vfTAsAOOoxy7fielk0yxldh6dnqqOtTGjMgwSoRyRUNJ6cMOHX94GHu4T/8XftDYiHffhZUVVq58uqQkBuHB0HZCQAxUFeBBEm1tnDsHb29YWCAkhOloWuRx3OPfR/zus8Snw9QO2tqyM46TEFlDXc/lzQRr26p6/oX8Ry8s/egjFBdjzx6w2Wjk4+FqXBkCl4/h86dCZEEhY2OcOYOvvsLZs0yH8nYZVzL2+e0b8r8hPecyN9cjIYqBEqG8YbNYX7h1/fFhLL+x8emiH37AlSs4dgyqqiiNw3lPPL4O/yjYvctopExwdMSxY5g2DeHhTIfyJvGh8aFTQiceneg2wY3pWAiRf5QI5VAfIxNbTa3fM9MA4PffsW0bzpyBrhYersZlPzjNQf/TULdgOkyGeHhg1y6MGYOkJKZDad6d9XfOfXhu6rmp3L7ct69NCGk3ukcon5Z17Drp1tVxyWlan36Ky5ehXYbzo6FqjGH/QsOS6eiYNmIEvv0WAQEIC4OpKdPRPCMQCK6tuPbwyMMZt2boWOswHQ4hikIEibCuro7H49HNfKniqKUT/KScPT8YJ46j8QT++Qldv4fjLKbjkhozZyI7GyNG4MoVaEnFxFINvIYTISdK0kpCroeoG6ozHQ4hCqSll0a/++47Ly8vQ0PDnTt3Pr/8+++/NzExsbOzGzhw4JMnT8QQIWmT9PR5n3y2ae44XsXHKLgM/0jKgi9bsQJduiAoCPX1TIcCXiXvj8A/+NX8aZenURYkRMJamgitra1XrFjh7OxcW1vbtPDOnTvr16+Pi4t7/PixiYnJ8uXLxRMkaaWiIvj7s9/3/aDL8WOqfhhwDhrWTMckfVgsbNsGZWWEhEAgYDCQqoKqPf33aFtoTzgygdpvEiJ5DJ+9EwAAIABJREFULU2EwcHBQ4cO1dB4YT7o/fv3jx8/nsvlstnsDz/88MCBA41NTyoSptTUYMRQ9KxBv0ecITc3Nva9V0yV+mtwOPj9d6SmYsUKpkIoSSvZ3W+38wjnUTtHsZXo4TVCGNCu08+0tLShQ4cKX7u4uJSXlxcVFZmYmDS7ck1NTVpamvA1h8OxsbFpz65J8+r5GO4FjSQs/Rpun6my2B91UP3xYWyoz0Bqddw8DQ0cPw5vbxgaYvhwCe+8IK7g1KxT/Rd5dZrExX9/Ha9i1dXB1VWSgRGiUNqVCMvKyjT/6+ivpaUFoLS09HWJMDIyctB/jZ6NjY0vX77cnl0ziMfjAVBRUWE6kFdUlWlO6IW62ppjtxt1HVFVDWCInuGe1KTj6SmDjc2Yjg9VVVXSOPmAhgY7NFRt6lT8/LMkd1tfW69WWPOekbrS9kON29+0pkZFRX2/fnU//ywwMpJUdPKAx+MJBAI+n890ILJHSv9U20RDQ4PNfsu1lnYlQmNj49LSUuFr4YvXZUEAPj4+R48ebc/upISUJsLHmRjcFQZauJymoan3/E+Wde7+efTd4Tb2Km/7NIibQCDQko5HNF/WpQtiYyW5w9j9sRcWXwi6FqTr/fbbtxXFxdobNij16YONGzFunATCkw/CRKiqSn1QW016/1TFo13fjJ06dYqMjBS+vnfvnrW1tZ6e3pvfQsQiLQq9XdHRFpcyoPnyf4GXobGjts7+jBRGQiOvurP+zpWvr4RcC7FuQRYEAGVlfPMN/voLy5Zh4kQUFYk5QEIUS0sT4f379//555/i4uLExMR//vnn8ePHAKZPn3769Om//vorMTFx+fLlc+fOFWeo5DXunIKXB0YPwKFocJov8b9w67o5OaGEx5NwaOQlAoHg4uKL/+74N+R6SKunK/L0RFQU7O3RtSuOHxdPgIQoopYmwlOnTq1evdrIyCg+Pn716tWJiYkA7O3tDx8+vG7dunHjxg0ZMmTx4sXiDJU059wOBIzBl7Px0+k3rOWgpR1gYbU5OV5icZFXNfAajk0+lhuZO/3mdB2rNjWOUVPDqlU4ehRLlmDiRBQXizpGQhQRSyCREVShoaGHDh2ie4QitusLfLQaW1Zg8rK3rlvMq/O7cv6Yz0BbTcYu/VdUVChsByJeBe/P8X+qaKmMPThWSa119+abOW41NVixAvv3Y8sWjBolykDlCN0jbDNF+1OlcUsya9V0fLYGJ/a3JAsCMFBRfd/eeU18nLjjIq+qzKvc3W+3kYvRhCMTWpsFm6eujlWr8Oef+PRTTJyIkhIRbJMQRUWJUDZ9EoD1B3DpPPpPbvmbZjg4xZYW3yumRy0kqii+aGefnR0COwxbP4zFFukj6d7eiI6GvT06d8bff4tyy4QoEkqEsqaeh7Ed8fd1RESj66BWvVWVzfnUpdMPD2OY7CemYB5FPNo7cG+/r/r1/6a/WHagoYFVq7BnD+bPx+zZqKgQy14IkWuUCGVKVSn87JFVgNvJsG7LlK2BVjaNApzOzRZ5aORVSaeSfh/xe+CuwO7Tu4t3T35+T8dBdu0KmW1VQQhTKBHKjvxUeNpAQw1hWTAwb9s2WMCXbl1Wx8fxqCusmEXvif577t9Tz0519HeUxP50dLB1K7ZsQUgIZs9GZaUkdkqIXKBEKCPib6GXGzrb4XQSVDXevv7reRgau+ro7k1PFlVo5FVhq8Ouf3c9+EqwuXsbT1naaOjQZ6Xh1asS3TUhMosSoSy4fRy+vpg+GoeiwRLBf9lSty6/pSSW8OravynyEkGD4PTc0w+PPpxxe4aBkwEDEejqYutW/Por3nsPs2ejqoqBGAiRKZQIpd5fv8B/HL6ZjxWHRbVJO03tEZbWG5JofL2INdQ1HJ109Enyk/cuvadposlkKP7+z0rD69eZjIQQqUeJULptX4Lpn2DvL5i3TrQb/qhDx79zs9Or6CFDkaktqd03eJ+SmtLUs1NVdaRgELeeHrZuxfr1mDwZixahji4AENI8SoRS7KsJWPo/nPgdgQtEvm09ZZX37Z1XP6Tx9aJRkVuxp/8e8+7mo/eOZitL05/V8OGIi0NJCXr0wN27TEdDiDSSpr9Y0kTQiHn9se8Ubt5EvyAx7WS6vVNCRdmtosdi2r7iKHxQuLP3zi7vdhH9kHmR0NfHvn345huMGoUlS6g0JOQllAilD78Wo91wJRK3Y+HiJb79KLPZn3To9OPDmEaJ9JuVVzm3c/YN3ue32q/Pp32YjuWNJkxATAySk9GzJ/6bPY0QAkqEUqfsMfpy8aQMdzNh4SzuvY2wtFbjcE7S+Pq2SjiecCjw0Og9oztN6sR0LC1gYoLQUCxfjuHDsWQJaFouQgBQIpQuecno7QhjPVxJh5YknrxnAV+4dV0TH1fT0CCB3cmZu5vunpl/5t3z7zoMcWA6ltYQloYJCejVC1FRTEdDCPMoEUqNB9fRqxO8OuJUEpTVJLbbHvqG3fQM9tD4+tYQCARXv7ka/kt4yLUQs+5mTIfTeqamOH4cy5bB3x9LloDPZzogQphEiVA6XDmAfgMxZwJ23Zb8zpe4ddmemlRUVyv5XcsiQYPg79l/p5xNmXFrhr6DPtPhtMOECYiKwsOH8PFBPA0qJYqLEqEUOPI/jJ6GHz7EsgOM7J+roTnGirsh6SEje5ct/Cr+ocBDlfmV065M0zBuV687qWBujpMn8cEH8PXF6tWgK+REIVEiZNovczHrcxzciDn/YzCKhc5uZ/JykirKGYxB+tUU1+wfsl/TWDMoNEhZQ5npcETnvfdw9y4uXoSPDxISmI6GEEmjRMioL8di1Q5cPIUR85gNRFdZZY6jC81f/walGaU7++zk9uWO2jVKuobMi4SNDS5eREgI+vWj0pAoGrn7e5YVgkYEe+LAGdy4hZ4BTEcDANNsHVMry8MKC5gORBo9jnu8x3eP1yIvv1V+LJb0DZkXCRYLs2YhIgLnz6NfPyQlMR0QIRJCiZAJtZUYYo/oJEQmw6kX09E8pcxmL3bp/MPDWBpf/5KMKxn7/PYN+d+QnnN7Mh2L+Nna4tIlTJsGHx+sXg2at5IoAEqEEldagH524PERlg4ja6ajeUGAhZWmktLxR1lMByJF4kPjQ6eETjw60W2CG9OxSIqwNAwPx9mz8PVFSgrTAREiXpQIJSszFj3tYGeBy5nQ1GM6mmZ86dZ1bXxcdUM904FIhTvr75z78NzUc1O5fblMxyJx9va4fBnvvos+fbB+Peg6AZFflAglKO4K+vTEEA8cjgFHielomtdN36CngdGuNEUfXy8cMh+5LXLGrRmmXUyZDochbDZmzcLt2wgNxf/bu++4pu71D+BPAmEnQNh7CQgUFBNFJSoqjiqgtReoAipqcVb7s3ppbW1pvbbaodJqxYWrQq9ob6vSWqlVERRkoyDI3oKQgBCNCcn5/RGuHdfBSDgZz/vFHwmenPN5YZLnfM/5jlmzoAGn4kOqCQvhcPntOEwJhHUL4durZEd5iX96eCdWV7QJ1Hd8vVgo/k/kf6p+rYpOj2bYMciOQzYXF/j9d5g+HVgsOHgQm4ZI9WAhHBb/3gmhy+DrD+G942RHeTk7Pf1/2DnuuVdCdhByCHuE38/7XvRItOT3JbomumTHUQyamhAbC1euwKFDMGcONDaSHQghWcJCKH9fvgmrtkBSAkR+RHaU/lrn6pF2v/ledxfZQYYbv5V/bMoxujU9NCVUU1dBL1+TxssLbt6EgIC+piFCqgILoZy9Mwe+Og6//wKvvkl2lAFg0GhrXUd+VlpMdpBhxavmHZ181C3YLeRICFUTPxrPIm0a/vYbHDgAc+dCczPZgRCSAfy0y02vEEK94YcrkJkNvjPJTjNgkQ4udXz+dbUZX9+c25zISZzwzoSAuACysyg8b2/IyoLJk8HXF5uGSAVgIZSPR10Q6AI1zZBXBc6+ZKcZDE0qNdbT+9PSIrEadI6ovFiZNDcp5FAIK4ZFdhYlQaNBbCykpsLevUChKOaPlra2to4O6TGe+2NrCzt3Qmcn2f+XCAuhPLTVwXgH0NaEjDpgWpOdZvBmWdowtbTPNtSSHUS+ik8W/7j0x/Afwl3nupKdRdmw2VBcDAShmD/CJ0+eCASkx3juz88/Q3U1uLrCypVQXk72/6Vaw0Ioa9UFMMEDvBzh5wrQMSA7zVBt8Ry1u7xEhcfXZ8dnX/noSvS1aDt/xZrlB6k+Hx84cADu3AErK5g0CYKDITOT7ExqCguhTGWfh/HjYP5USC5U2CHzA+JlaORnYnaoSgXnXyYIIm1zWv7h/Oj0aBN3E7LjIHVlYQFxcVBTA8HBsGIFsNlw4gT0quypp2LCQig7Fw/DnNdg6yr4KpXsKLL0rqfP8ZqKlsePyA4iS+In4h8W/dCc17wsYxnDVu2HzCPS6etDTAyUlMBHH8HJk+DmBjt3QpfajV8iCxZCGUncAuErYe8n8NY3ZEeRMUsd3TfsneNVaP16YbcwKThJLBRH/ByhbahNdhyE/otKheBgSEuDlBQoKQFnZ9iwAWe2GwZYCGVhxzL45+dw7jtYuIXsKHKx1tXjSlvLnS4e2UFkoKel5+jko2YeZqEpoZo6qnD5GqkgFgtOnIC8PNDVBRYLwsLg1i2yM6kyLIRD9s4ciP8OLv8KUxaSHUVe9DU117l6qsD4+va77UcmHnGf5z47fjaFqqLr6yKV4egIO3ZAZSX4+0NoKHA4cP48zvUqD1gIh6BXCK95woV0yC2GUdPJTiNfixyc258IrrbdJzvI4DVlNx2fdnzy1sk4ZB4pEwYDNmyAykrYsAG2bwd3d4iPh8ePyY6lUrAQDtbDdphsDw1tcLMCbEaSnUbuNCiUf3p4by8p6lXOE9J75+8lBSfNS5znu0wp5zdA6o5Gg9BQyMqCxETIzARnZ3j3XWhpITuWisBCOCit1TDRBYwMILMemFZkpxkm0y2sLXR1U+pryA4yYIXHCi+svhD5S+SIV0eQnQWhoeFw4PRpuH4dHj8GLy9YvBhKVacjG1mwEA4Q0Ust+klr4iiY4A2p90Bbj+xAw2qLp8/u8pKeXhHZQQYgc2dm+rb0pVeWWrHU5ZQFqb4RIyA+HsrKwNkZpk2DkBC4epXsTEoMC2E/PHkATeeh8D34bQokMzXDFksiguFQBlDU7q/nyTCaZGZxoFI5poMixETq6tTSM6XLby5nujLJjoOQrJmbQ1wc1NZCUBCsXg1sNiQng0iZzlMVhNp9lfcLIYauEqg5AbdWQqoXnBsBpTsBCPDYBNf+IWEH9X6SRHZE0mz28D5VV9Ws8OPrxU/EZ94401HRsfjyYn1zfbLjICQ3OjoQEwOlpbBjByQlgYMDxMUBTxUGOw0bHEf1X6Ju6CyCB5nwIAMeZIKWMZj5A5MFI2LA2Lev8ZeSAr9f7715k+ysZLLU0Y1wcNlVXvLl6LFkZ3kuAU+QPC/ZyNEoMimSSsOzPaQGKBQIDITAQCgshF27wMUFoqJg40ZwcCA7mRJQ70LYUw0PMoCbBw8yofseGPkAkwVOi2H8UdA2/fvGVVWwbh388gsw1H1GrtUjRk67cvF2F8/b0JjsLM/Q3dx96tVTjgGOs3bPwsGCSO2MHg0nTsD9+5CQAGw2jB8P770HEyeSHUuhqVkh7O0BXmFfs689C6g0MOOAmT/Yh4LJOKBqPfeFIhFERsLWrTBmDAiFw5hYEelpaq538/y0pCh5YgDZWf7uQcmDU3NOjXtr3MRN+MlHaszSEuLiYNMmSEqC6Gig02H9eoiIAA0NspMpIjUohI+b+yofNw94BcDwADN/cFoMfodBx6K/O9m8GUxNYe1aeQZVJuH2TsdrKn9vbZlmoUBdMRtvNv779X/P2jXrlTdeITsLQgrAwABiYmDFCkhNhR074OOPYf16WLEC9PGu+V+oYiHsfQS8/L4Lnm3XgKIBTBaYcWB0KJiMBerAJ1lOTYUff4T8fKDgdbY+GhTKe54+20oKJ5tZaFIV4iZc2Y9l52POL/hugctMF7KzIKRIpHN5BwdDXh7Ex8Mnn0BkJGzeDLa2ZCdTFEMqhCKR6OjRo0+fjho1ys/Pb8iRBuVxc1/le5ABvELQdwAzDtgEweidYOA0pD03NMCKFXD2LDCx//1fBJhbJlbrJdfXRDmSX3hy9uVc/+x61KUoy9GWZGdBSFFJ5/Kurob4ePDxgaAg2LwZvL3JjkW+IRVCgUCwcuXKFStWUKlUADA1/Z8OJvJD9AKvqO+CZ9t1EAvAhA1MFnjHgZk/aOjK5ii9vbBwIWzahLean2mL56jFWenzbezpNBpZGQiCuPbxtdunbkdfizZ2UcTOOwgpFmdniI+Hbdvg6FGYMwccHCA2FoKC1PmKF4UYwtSR3d3dDAZDKBTSXvY9ePbs2eTk5DNnzgz6WAAAj1uAm9vX8mvPAn37vq4uTBYYeg1pz88TGwu3b0Nq6p/fIkKhEAC0tJ7fs0adxBblmmhp/9OjXyeV3d3ddDpdhkcnxMSF1Rdai1oXXVikZ6ays/zI/O+mJoRCIUEQ2tq45OTzCYXw00/wxRfQ1QVr1kBMDOjqgvq95WRwj3D//v00Go3D4XjLvIlN9MLD8j+6ujxqApOxYOYP7uth0hmgGcr4cH9z8SIkJ+OtwRfb6O716rVLEY4uNrrDXYdEfFFKeAqFSllyZQlNj7QmKUJKTEsLQkMhNBQyMmDnTtixA1auhLfeAjU70R9SIaRQKNOnT29sbOTxeLGxsZ9++um6deuet3FpaemKFSukjw0NDbdv3/6iPfOraXkx1M4iQt9JYjJeYjJF4rqZMHD9YwsxgFgwlPAvRmlu1oqOFn33ncTAAAR/OZC0RSiRSOR3dCViCJRFto477xR+7j3mpRsLBIKXXjzoJwFPcGbBGaYrc/a3s8VUsVgglsluFZMM/25qRdoiHMpFLzXCZkNKCqWkRPObb6iurrS5c0WBgZLx4wnlH4+vpaVFfVmHviFdGv2zX3/9df78+Z2dnc+8EHH27Nkvvvhi6dKl0qd6enoREREv2l0vn9KRRTDHAY2M5rlYTJ0xgwgMJLY8Y8V5vDT6NwKxeGZ62r4xfi8dXy+r6y2dtZ3Jc5Pd57lP3T6VogbtdXW7TiUreGl0kO7fFx4/rpOXR8nKAoIg/PyICRNgwgRizBjQ0SE73IBRqdSXfkvIrBDy+XwDA4Pq6monp2f00pTNPcJh8+GHkJEBaWnPHHyKhfB//bu+JqWhJsV/2ovfbjL5Qm+73ZYUlMR5l8NezR7irpQFFsLBwUI4aH+85ZqbIS8PMjMhIwMKC8HBATgc8PeHSZPgWV/1SmpIl0afPHny9E2WmprKYDDs7OxkkYpUV6/CkSOQm4tTMPRfqJ3jd7VVafebZlrayPVAtVdqz7xxZs7eOZ6hnnI9EEIIAMDaGqytITgYAEAkguJiyMiACxdg82bQ0AAWq68ustnK2Fh8akiF8PDhw4cPH/bx8eno6EhPT09ISNDUVPIR+m1tEBUFx46BlQJNmKL4qBTKe54+W4rzpppb0eQ2vv7u2bs/v/Vz2Jkw+0n2cjoEQui5aDRgsYDFgg0bAACam/taiu++CwUF4OEB/v7AYsGUKUo30/eQ6tby5ct9fHxqa2sNDQ0TExPNzc1lFYscEglERcGyZTBjBtlRlM9EU3NHfYOkuuolTnJZBT47PvvGlzciL0Za+PR7YjyEkPxYW/f1OAUAPh8KCiAvDy5cgHfeARqtr6XIYsG4cYrfB3VIhVBHR2fSpEmTJk2SVRqSffYZCATw4Ydk51BWH3iNeuPG1Xm29kY0Wb7vpUPmS1NKl99YzrBT96U/EFJE+vrA4QCH09dYrK6GjAzIy4OTJ+HePfDx6buIGhAAZmZkZ30GJb+SKUNZWfDtt3DrFt4aHLQRBoyZljb7K8re8/SR1T7FQvFP0T/xqnnR6dG6JjKaMAghJFfOzuDsDIsXAwB0d0NREWRmwokTsGoVaGv3NRY5HPD1BcWYqVghQpCPx4OFC2H/frCRb18PlfeO+yspDbV1/B6Z7E3YI/x+3veiR6Ilvy/BKoiQUqLTgcOB2Fg4fx46OiAjA4KCoLQUFi8GY2PgcODdd/v+iTzYIgQgCIiOhvBwCAkhO4rSM9HWjnYa8WXZnW9Y44e4K34r/9ScU5ajLYMOBFE18YwNIZXw58biw4dw6xZkZMDBg7B4MTCZfbcVh72xiIUQ4KuvoKUFTp8mO4eKeNPFffqVi7ncdjZz8JOw86p5p1499crCVwLiAmQXDSGkSBgMCAyEwEAAALEYysr6uqEePAiNjTBu3B910Vi+8+mrfSHMyYEvvoDsbMXv16QsdDQ0Nrp7fVpafJbzkvH1z9Oc25wckhwQF8CKYck4HEJIMWlogJcXeHlBTAwAwP37kJMDeXnw9dewaBHY2/8xZtHTU+bzP6v3FafOTggPhwMHwNGR7Cgq5TVbh16J5GJL4yBeW/1bdXJwcsihEKyCCKkvS0sIDoa4OEhLg44OOHIExoyBy5dh9mx41syXQ6TeLcLlyyEkBObPJzuHqqFSKFu8RsUW5ky3sNYayIX+4pPFlzZfCj8bbuev/FMUIYRkQksLxo+H8ePh7bcBAEQimR9BjVuEe/dCXR3s3El2DtU03sRsBJ1xsray/y/Jjs++Gnc1+lo0VkGE0HPJYSUWdS2ExcXwySeQlAQ4Ia/cvO856tuKMp5Q+NItCYJI25yWfzg/Oj3axN1kGLIhhNBTalkIe3ogLAz27AE3N7KjqDJnA/oca9t9FXdfvJn4ifjswrPNec3LMpbRbXCNBYTQcFPLQrh6NUydCosWkZ1D9f2fu9cPjXW1zx9fL+wWJgUnSUSSiJ8jtA2xdY4QIoH6FcJDh6CwEHbtIjuHWmBqaa9wdvv87u1n/mtPS8/RyUfNPMxCU0I1ddS73xZCiDxqVghLSuD99+H0adDF+bqGyXIX1+JObi63/W+/b7/bfmTiEfd57rPjZ1Ooqr/KPEJIYalTIeTzISwMvvwSPDzIjqJGtKkam0a+8q+SIuJPv2zKbjo+7fjkrZNx4hiEEOnUqRCuWwd+fn1z3KFhNM/WgQC40NQgfXrv/L2k4KR5ifN8l/mSGwwhhECNBtR//z3cuAG5uWTnUEcUgPc9fTYV5kxgT6w6Vvj7B79H/hJpxbIiOxdCCAGoSyGsqID16yEtDegq3jv/ycMn3EouEC/fcpjZAYxq1jjy7kW93x5EX4s2dpHvFLoIIdR/alAIBQIID4ft22HUKLKjyEVHeUdjVmPDzYaGGw2dtZ1MFyZFQxH7nrhJxGVaT4Tf+JQaivzJDoMQQk+pQSF8+21wdYU33yQ7h8yI+KKWgpaWvJb6zPraq7VUTao1y9qeY+8T6WMz1kZDW4PsgM/F7eq62t35yZ1CDQolytFlgZ2DNlVx0yKE1ISqF8KUFLh8GfLyyM4xVN3N3Q2ZDfUZ9c15zfcL75uONLX3t3cLcpvx+QwjRyOy0/UXjUpdYOuwwNYhl9u+v7Jsd3nJIgfnpc6uRjRcAwshRBqVLoRVVbBuHfzyCzAYZEcZMIlI0lrcKq18del1YqHYmmVtxbIKiAuw59gr+/BzNtP0yDhO2cOuE7WV036/ONvKZoWzm7OBit/BRQgpJuX+Pn0RkQgiI2HrVhgzhuwo/dXd3C294FmfUX+/8L6Rg5E9x9450JkTyzHzMiM7neyNZBh+6sPa6O71XW1VaOaV0cbMZU6u/mYWZOdCCKkX1S2EmzeDqSmsXUt2jheR9Eo6yjukla8lr+Vh00ObsTZ2/nYBcQF2E+1oerJfbUQBmWrrvO3utdp1ZGpz40d3CvQ0NJc6u4bY2GvKehFqhBB6JhUthKmp8OOPkJ8Pivdlym/lN91qas5rbshsaMxqNLQ3tGJZ2XPsObEcU09TiuIFHh7aVI0Ftg7zbeyvtLUcrancU16yyMF5kYMLQw5rjyGE0J+pYiFsaIAVK+DsWWAyyY4CAECIifaydmnlq8+of9j40GacjZ2/nd96v9DToTrGOmQHVCBUCmW6hfV0C+s7XbzE6oopl3+eb+sQ4+JmpatHdjSEkMpSuULY2wsLF8KmTTBxIokpnjx80nSrSXrBsz6jXpepa+dvZ82yZsWwLH0tcY7pl3rF0HiX77jGR/xTddVB6b+NNzWLcXEfZaQQZzYIIRWjcoXw/feBwYCNG4f/yLxqXn1G/dNmn7m3uT3HnhXDmn9svq4JLnYxGLZ6+rEe3utcPU7X16zJvWmtq7dqhPs0C2s8j0AIyZBqFcKLFyE5edhuDQq7hfeL7ksrX8ONBg1tDXuOvb2/PTb7ZEtfUzPa2TXK0eXS/ea9FXe3lRQtcRzxhoOzrgYOxkcIyYAKFcLWVli+HE6eBFNT+R2EkBCVqZUVFyqaspu66rusWdZ2E+1YK1nzjs7TM8X7WHKkSaXOsbadY22by20/WlOxv7LsdTvHpU4jLHSwtY0QGhJVKYQSCUREwNq1MG2anI4geiQqOlGUtTtLi6HlE+Xjt87P3NucqqlO61gpBjbTlM00reP3HKupnHX10jQLq9UjRrrSlW/OBISQglCVQhgXBxIJxMbKY9/8Nn7Otzm5+3NtxtnM2TfHdrItAGhp4axgZHLQN/joldFvuXmcrq9ZnJXuQmdEO42YbmFNdi6EkPJRiUJ49SocOQK5uSDrm0bcCu6tvbeKThS5BbstvbrU1MMUAIRCoWyPggaNqaW9asTIZc5uF5obPr97e1dZyXIXtxBrO00qttQRQv2l/IWwrQ2iouDYMbCS5UKv9Rn1mTszm3Ka2KvYb1W8hff/FJkWlbrA1uE1W4cbD1oTayp23i1eaI9zeSOE+kvJC6FEAlFRsGwZzJghk/2JheLyn8pvfHlD0CkYu2Zs6OlQTV0l/xOpDQqAv5mFv5nF3YedJ2urpHN5v+ni5qSqqMsbAAAMuElEQVSPc3kjhF5Eyb/lP/sMBAL48MOh7+nJwyeFRwtvfHXD0N5w8geTXYNc1Xa2M2XnwTD61If1f+5ep2qrXs+44mvMXDPCg8U0ITsXQkhBKXMhzMqCb7+FW7eGeGuws6Yz90BuQWLBiNkjIlIjzL3NZRUQkchMW+dtd68YF/efmur/WZSjr6G51Nl1no29Bp7fIIT+SmkLIY8HCxdCQgLY2Ax6Hy15LVnxWRWpFT6RPivzVzJssQu+qtHT1Fzo4Bxu73SlrSWhsjy+vGSpk2u4g5OehtK+8xFCsqacXwcEAdHREB4OwcGDebWEqEityNiZ0dPS47feL2h/EE0flzhQZU/n8r7dxTtaXfF1Wul8W4eVI9wtcTA+QkhZC+FXX0FLC5w+PdDXCXuEt5Nu39x1U8tAy2+9n0+ED0UDL5SpEW9D412+4xoe8ZPqqudeSxtvarbSxd0H5/JGSL0pYSHMyYEvvoDsbBjIkPae+z25Cbk5+3Jsx9vOS5xnN9FOfgGRgrPT04/18F7rOjKlvnZV7k0bnMsbIfWmbIWwsxPeeAMSEsDRsZ+vaC1qzfk25+4Pdz0WeCzLXGbihr0HEQCAgSYt2tk10tHlfHPDV2UlO0pvc8wsxhibsJgm1rj8IULqRNkK4fLlEBwMr7320g0Jgqi5XJMdn92c18yKYa0rX6fLxBtC6O9oVOoCW4cFtg4FvI5cbntqc8O2kkINCsXX2ITFNPE1NnnF0FgL56lBSKUpVSH85huoq4OkpBdvJX4ivvPvO5mfZ2rQNMb/3/jwH8KpNPwiQy/ha2zia2zypgsAQKvgcR63I4fbfrGlqbSr08WAzmKaehsZj2Oa2urpk50UISRjylMIi4th2zbIyABt7edt8ujBo4LEglt7b5mONA38LNAt2G04AyKVYaGjK13yCQAeiXtLuzpvd/IutzZvLynSpFJeMTQeyzRlM019jJjYWERIBShJIezpgbAw2LMH3J5d27iV3Fvf3Co6WeQW5Bb5a6SZp9kwB0SqSk9DU7rwUzS4wp8ai5/cKazmd3swjKR10c/EzOT5p2gIIUWmJIVw9WqYOhUWLfrff6nPqM/+Orv+ev2oJaPW3FlDt8aJJZEc/aWx2Ntb+rAzl9t+trH2g9t5NCqVzTRlG5t6GxmPNmLiChgIKQtlKISHDkFhIdy69effEWKi4ueK9O3pjzsej1s3bv6x+TQ9HBSPhpWeZl9jcRUAANQ/4udy22938v7TWCdtLLKZpmymyRhjE2MtbCwipLhkUwhFIhGNJp86VFIC778P166Bbl+fT2G3sCCx4Oaumww7xuT3cXZspCjs9fTt9fQX2DoAQE+vqIjHzeG2J9VVv1OQY0ijsZim3obGbBNTL4YRFd+xCCmSoRbC3bt3b9u2rbe3d8qUKd99952hoaFMYvXh8yEsDL78Ejw8AKCztjM3IbcgscAxwDE0JdRm3OBnGUVIrgw0adI1oQBATBBVPd13uni53Pbk+uqWx49HMgyljUU209QQF01EiGwUgiAG/eL8/PzAwMCsrCwnJ6fQ0FBHR8c9e/Y8c8uzZ88mJyefOXNmYAeIjgYKBRITW/Jbsvb0zY49cdNEhh2Zs2NLV6jXGsi8Nkiqu7ubTlf3m7jdIlFxJzeH257L6yjgddjo6km727CYpq50xjObivh3GxyhUEgQhDZ2Yho4dXvLDalFePz48X/84x9ubm4AsHnz5uDg4N27d8vsQuX338ONG5Xbvr854yS3isteyX7161d1jHRks3OESEKn/dFY7CWI6p7uPG57Drf9aE3FfcFjHyMm29hkLNN0DNNUd2jriyGE+mlIhbCysnLGf5eG9/T05PF47e3tZmbPHrogEol4PJ70MZVKffFFVPGdMiJmzVnTVV2f5/it9/Ne5E3VxD54SNVoUihudIYbnbHQwRkA7gseF/A68rgdu8pLyh52udDpY4xNxhibuGnpWOlgs2bAhCIhQRDaVLwjO2A9vSKJSEh2imfTpmroyPoccUiFsLOz08DAQPpY2o7m8XjPK4SZmZnOzs7SxxYWFrm5uS/YM/92baV7pO+OpdZ+1gDwSPBoKDllCy+NDhqfz8eeTS9gADCJbjSJbgQOLk8k4tLuh0Vdnecbaou7OgUSCdnpkBohCEJhP6oRtg5rnFz7v72enh71ZWOZhlQITU1Nu7q6pI87OzsBwNz8ucu7BwQE9P8eocHC2RYLZw8lm/xgIRw0giCenjmhFzMAmMQwnGRjB+p3w0ZW8B7hoKnbW25I1xs9PDwKCwuljwsLC62srIyMjGSRCiGEEBomQ2oRLlu2jM1mp6WleXp6fvzxxzExMbKKhRBCCA2PIRVCNze3Y8eOxcbGcrnc+fPnb9myRVaxEEIIoeEx1K6YCxYsyM/Pr62t3bNnj5rcNuPxeE+7v6L+E4lEjY2NZKdQSk1NTdI702hAOjs7uVwu2SmUjxp+VHFMwoDt3bt33759ZKdQPpWVla/1Y0Vl9L9CQ0PLysrITqF8Dhw4EB8fT3YK5dPQ0DBnzhyyUwwrLIQIIYTUGhZChBBCag0LIUIIIbU2pEm3+y8/P3/JkiWPHinQBDGDxufzAUBfX5/sIEpGLBZ3dXUxmUyygygfHo9Hp9M1NZVh9VBF8ujRI4Ig8KM6UCr2Ub1w4YKHh8eLtxmmQggAjY2N2PMNIYTQcLK1tX3piIbhK4QIIYSQAsJ7hAghhNQaFkKEEEJqDQshQgghtYaFECGEkFrDDtkD8ODBg3PnzpWVlRkZGYWFhbm6DmBxSAQAFRUVV65cCQoKsra2JjuL0qitrU1KSnrw4IGHh8eSJUtwdb1+Sk9Pv3TpkkQimTZtWmBgINlxFFplZWV+fn5nZ2dERMSfR5tkZ2efOXOGTqdHR0fb2dmRmFDesEU4AGvXrr106ZKVlVVbW9vo0aNv3rxJdiJl0tvbGxUVtWHDhvLycrKzKI2srCxfX9/m5mZHR8fs7OyHDx+SnUg5nDp16vXXXzczM7O2to6Kijpw4ADZiRRXTU2Nn59fQkLCypUrpeurS12+fHnWrFmWlpZcLnfs2LFtbW0khpQ3HD4xAAKBQEdHR/p45cqVYrH48OHD5EZSIv/6179EItGBAweSk5OnTp1Kdhzl4O3tvWbNmtWrV5MdRMm89tprLBbrgw8+AIA9e/akpqampaWRHUpBSSQSKpXa3d3NYDAaGxttbGykv585c+bs2bM3btwIACEhIRMmTHjvvfdITSpH2CIcgKdVEAAEAgHOWNF/ZWVlKSkpKvxBkoe6urrS0tKZM2cmJCQcPny4o6OD7ERKw9PTs6ioSCKREARRUFDg5eVFdiLFRaU+owoQBHH9+vUZM2ZIn86YMePatWvDm2tYYSEcjBs3bvz444/r168nO4hykEgkb7755r59+/58JoFeqra2VldXNyws7MGDB+np6T4+Pq2trWSHUg5xcXECgcDW1tbe3r6xsXHHjh1kJ1IyPB5PIBCYmZlJn5qbm7e0tJAbSa6wEA5YeXl5aGjooUOHXFxcyM6iHHbt2uXt7c3hcMgOomSoVCqfz9+xY8fWrVtPnDgxatSo/fv3kx1KOezcubO9vf3cuXPnzp2TSCRxcXFkJ1IyNBoNAHp7e6VPe3t7VXvddSyEA3Pv3r3AwMDPP/88LCyM7CxKIykp6cqVK2w2m81mc7ncVatW4b3V/pDerfH09JQ+9fT0rKurIzWR0jh48ODWrVvZbLavr+/HH3988OBBshMpGTqdTqfTm5qapE+bmpqsrKzIjSRXOHxiAOrq6mbNmrV169aIiAiysyiTU6dOPV14ZObMmRs3bpw7dy65kZSCs7Ozj49PVlbW66+/ThBEdnZ2SEgI2aGUg4mJSVVVlfRxVVWViYkJuXmUUXBw8JkzZ/z8/MRi8Q8//LBixQqyE8kR9hodgNmzZ2dkZIwcOVL6dOzYsXipaqAsLS2x12j/Xbp0KTIyMiQkpKKigs/nX7161cDAgOxQSuDcuXNLliyZO3euhobGuXPnEhISwsPDyQ6luDgcDp/PLyws9PHxodFo2dnZGhoad+/eDQgImDp1anNzs0AguHr1qp6eHtlJ5QUL4QDcu3evu7v76VM6ne7m5kZiHmVUXFzs5OREp9PJDqI0mpqaMjIyzM3NJ02ahEsS9l9ra2tWVhZBEOPGjcMJHF6soKBAIpE8fTpmzBgKhQIAXC73t99+YzAY06ZNU+17hFgIEUIIqTXsLIMQQkitYSFECCGk1rAQIoQQUmtYCBFCCKk1LIQIIYTUGhZChBBCag0LIUIIIbWGhRAhhJBaw0KIEEJIrWEhRAghpNawECKEEFJr/w9g2E49HScgPgAAAABJRU5ErkJggg==", "image/svg+xml": "\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, UnitBox{Float64, Float64, Float64, Float64}(-1.2, -1.2, 2.4, 2.4, 0.0mm, 0.0mm, 0.0mm, 0.0mm), nothing, nothing, nothing, List([Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.LinePrimitive}(Compose.LinePrimitive[Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.21513027192081904cx, -0.33935827115243994cy), (-0.0830595860086428cx, -0.49794132358480453cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.2004262469811001cx, -0.2985186963684831cy), (0.158768240462503cx, -0.2312342142202111cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.22862674378167183cx, -0.26586791495506035cy), (-0.13743663610460152cx, -0.0006618636037991274cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.28541905238488435cx, -0.30783228423787007cy), (-0.5879905294096643cx, -0.31785600098121164cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.2705420253029927cx, -0.3389039906825544cy), (-0.6677824298271476cx, -0.8002897315977139cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.2808160697405673cx, -0.32578571288065344cy), (-0.7037374686792616cx, -0.5399990342862189cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.2083524795087118cx, -0.2805759109207919cy), (-0.14190607840453073cx, -0.23040085864190138cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.20243049683682773cx, -0.3214866124515425cy), (0.2164521642184823cx, -0.47880125124795153cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.2693546161674979cx, -0.3398896689102031cy), (-0.5401218471444753cx, -0.6782839923650473cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.2657423917283492cx, -0.2703408363229447cy), (-0.5710543763793269cx, 0.2048875788919794cy)]) … Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.48691971393029415cx, 0.370947707942507cy), (0.5665800615301602cx, -0.23676931760161612cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.40869905469603124cx, 0.10022223429069013cy), (0.3413679027420721cx, 0.2231095764826386cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.4458297186516104cx, 0.023061192611836014cy), (0.5556235161990309cx, -0.23971984836934387cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.8205575659890026cx, 0.028052386245659186cy), (0.6386132904736267cx, -0.3522636713916578cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.8128733738908821cx, 0.03278091795348842cy), (0.5983396192110392cx, -0.24533228418798486cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.37348490667237966cx, -0.669295720762968cy), (0.5916776236227336cx, -0.42303098235019365cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.36536605523458104cx, -0.6636295902084376cy), (0.5518386116998242cx, -0.3170371939932219cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.3386632520260362cx, 0.2217495432229367cy), (0.6022132482715843cx, -0.3519795974013112cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.3388612234607096cx, 0.2218410945385509cy), (0.5540574134762029cx, -0.24041122980542323cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.603190292016386cx, -0.351545449484433cy), (0.5890724856937725cx, -0.3186750712247781cy)])], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.5144957554275265mm)]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.5144957554275265mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}}(Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}[Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.2425679140546798cx, -0.30641269347876976cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.05562194387478203cx, -0.5308869012584747cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.20090990753608273cx, -0.22334021710992447cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.12349546583159354cx, 0.03988291491991025cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.6308416677398688cx, -0.31927559174031195cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.6957565410754605cx, -0.8327810288014985cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.741985624365149cx, -0.5593720536881026cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.10769064385856275cx, -0.20456407608392357cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.25658958143633437cx, -0.49387517022072425cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.4412716857688801cx, -0.8503135706502498cy), 0.017149858514250882w) … Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.4243574506259129cx, 1.0cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.5791503883698681cx, 0.9109131527004706cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((1.0cx, 0.13794114299312743cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.4813473182857291cx, 0.4134586912397453cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.4293007776759161cx, 0.0626216451413466cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.8390605359271961cx, 0.06672893466435803cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.34505220975968cx, -0.701386483302805cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.32076617976218724cx, 0.2607101656319821cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.6201103205354332cx, -0.39094021981035665cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.5721524571747252cx, -0.27928030089885447cy), 0.017149858514250882w)], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.0,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.0,0.0,1.0)) … Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.0,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))]), List([]), List([]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Test on Karat7\n", "karat7_state = new_state(karat7, 5)\n", "state, X = SAIR2(karat7, karat7_state, 0.9, 0.1, 0.1, 0.5, 10)\n", "\n", "plot = Plots.plot(1:size(X)[1], X, label = [\"Susceptible\" \"Infected\" \"Recovered\" \"Alert\"], palette=node_colors)\n", "png(\"img/q16_1p.png\")\n", "display(plot)\n", "\n", "nodefillc = node_colors[state.+1]\n", "plot = gplot(karat7, nodefillc = nodefillc)\n", "draw(PNG(\"img/q16_1g.png\", 100cm, 100cm), plot)\n", "display(plot)" ] }, { "cell_type": "code", "execution_count": 76, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, UnitBox{Float64, Float64, Float64, Float64}(-1.2, -1.2, 2.4, 2.4, 0.0mm, 0.0mm, 0.0mm, 0.0mm), nothing, nothing, nothing, List([Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.LinePrimitive}(Compose.LinePrimitive[Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.6129827927939595cx, -0.5260884296566821cy), (-0.551667367554611cx, -0.40817949449261315cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.604253602229778cx, -0.5376280610820882cy), (-0.31462786598200576cx, -0.47771750435109445cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.637122276133113cx, -0.5450845528831596cy), (-0.9353892755757357cx, -0.6187664159127944cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.6055946235522105cx, -0.5483994588891005cy), (-0.5256055834309658cx, -0.5872064483471764cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.6147333382617401cx, -0.52530128366687cy), (-0.5394035867861503cx, -0.3285203716862667cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.6280216159935191cx, -0.5562524422652236cy), (-0.7649326809186042cx, -0.8429924119323701cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.6346115065076012cx, -0.5506445949509735cy), (-0.9040411665084604cx, -0.7374099884684349cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.6263496294530864cx, -0.5569431913489906cy), (-0.634677742709791cx, -0.580630729449271cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.6239185068819572cx, -0.5575985739192395cy), (-0.6559125045500518cx, -0.7252605087238707cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.6049557940968754cx, -0.5351819247418621cy), (-0.2848692661490917cx, -0.4164836043162628cy)]) … Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.7388902104216004cx, 0.606608643502447cy), (-0.7347275109365345cx, 0.7145112429210309cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.9645354351641362cx, 0.7478030078882921cy), (-0.9074858854389094cx, 0.6858245258202503cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.6293251016108442cx, 0.7769752823855542cy), (-0.5085388220491723cx, 0.6493669655516996cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.4271231124178633cx, 0.6093508120005583cy), (-0.6168972223835851cx, 0.6086906723384858cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.8825560156087859cx, 0.6633516808254905cy), (-0.7948101128710796cx, 0.5979611642732745cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.70864990236356cx, 0.4723549729806049cy), (-0.5102531964023527cx, 0.6267734124467637cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.644420050323647cx, 0.6216814135651612cy), (-0.7234098237004105cx, 0.7183043390373682cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.6504429773168114cx, 0.606285535751332cy), (-0.7646043479772168cx, 0.5902360137084984cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.7393470775870927cx, 0.7153435525961771cy), (-0.7760258877900706cx, 0.6038996661418672cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.7716270356341355cx, 0.6016959318798976cy), (-0.6805915818173354cx, 0.7316971350324273cy)])], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.20225995873897262mm)]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.20225995873897262mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}}(Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}[Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.6207591690091879cx, -0.541042321526364cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.8716189177485959cx, -0.5454139551136615cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.4140900682471903cx, -0.8294353353861087cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.4734881895776045cx, -0.6515337248158729cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.5438909913393826cx, -0.39322560262293127cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.6417969247610482cx, -0.8329793792928064cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.7699715616904826cx, -0.4631008687538172cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.4021094807920581cx, -0.6848463103026987cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.8900537270264122cx, -0.6473909748920594cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.4610650496475479cx, -0.7559831157462696cy), 0.006741998624632421w) … Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.6409116850702419cx, 0.7892162787841046cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.4102682178309873cx, 0.6094094426768863cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.8960709201562985cx, 0.6734233373010923cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.721950860176138cx, 0.46200241627421934cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.920648346697346cx, 0.7159211896715534cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.49695223858977466cx, 0.6371259691531492cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.6337521169704612cx, 0.6086320416621578cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.7340777570535963cx, 0.7313537109403716cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.781295208323567cx, 0.5878895077976727cy), 0.006741998624632421w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.6709234091279037cx, 0.7455035591146522cy), 0.006741998624632421w)], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.0,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.0,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)) … Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.0,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.5019607843137255,0.0,0.5019607843137255,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))]), List([]), List([]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Test on N7_2A\n", "n7_2A_state = new_state(n7_2A, 10)\n", "state, X = SAIR2(n7_2A, n7_2A_state, 0.9, 0.05, 0.1, 0.5, 30)\n", "\n", "plot = Plots.plot(1:size(X)[1], X, label = [\"Infected\" \"Recovered\" \"Susceptible\" \"Alert\"], palette=node_colors)\n", "png(\"img/q16_2p.png\")\n", "display(plot)\n", "\n", "nodefillc = node_colors[state.+1]\n", "plot = gplot(n7_2A, nodefillc = nodefillc)\n", "draw(PNG(\"img/q16_2g.png\", 100cm, 100cm), plot)\n", "display(plot)" ] }, { "cell_type": "code", "execution_count": 77, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, UnitBox{Float64, Float64, Float64, Float64}(-1.2, -1.2, 2.4, 2.4, 0.0mm, 0.0mm, 0.0mm, 0.0mm), nothing, nothing, nothing, List([Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.LinePrimitive}(Compose.LinePrimitive[Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.41996047506112755cx, -0.0729514974118421cy), (-0.065621850256934cx, -0.014711597666029405cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.4222510201009065cx, -0.07951421832287607cy), (0.3499673137750287cx, -0.1526090688761541cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.4300613629312126cx, -0.06631462276589059cy), (0.44083198547598107cx, -0.03006098437772945cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.4350105893402138cx, -0.0706294717253893cy), (0.47221765862209925cx, -0.05376657117941624cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.4347173491861038cx, -0.07773837447653886cy), (0.5772038503097782cx, -0.1570618349063282cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.4298742235430619cx, -0.08152436867105234cy), (0.45972746337944065cx, -0.19188698359341cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.4256362427985917cx, -0.06629194818288492cy), (0.34620518155469127cx, 0.21146650569650133cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.4356237804165704cx, -0.07269149796065645cy), (0.6377233770468066cx, -0.04161699681316498cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.43571556296145453cx, -0.07391937474650805cy), (0.5532424223237081cx, -0.07431227908939327cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.4295238206843835cx, -0.0816106211905663cy), (0.48029650881145763cx, -0.3102385395315972cy)]) … Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.09724555701082273cx, 0.39101362925598937cy), (-0.10934824032116151cx, 0.3810125625809351cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.4211922706497586cx, -0.24223739229691973cy), (0.3916607599007529cx, -0.190432935407626cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.6533468029419942cx, -0.1241913406333801cy), (0.604138755972736cx, -0.17316906276302324cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.4265075379862606cx, -0.0928427838261166cy), (-0.372157912001609cx, -0.0649540137478744cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.4900627489397915cx, -0.36376386084671947cy), (0.4368325664447137cx, -0.3521281237711164cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.6844235818583946cx, 0.19578073691692488cy), (-0.7379346436976777cx, 0.197296412233541cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.945073791811675cx, 0.08832718976561235cy), (-0.992101327034848cx, 0.0903105054926985cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.13091468316334226cx, 0.9865346041626752cy), (0.17550953311544687cx, 0.9980270934433055cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.13575348422169037cx, -0.296742986709107cy), (-0.19055779513106336cx, -0.2540318430718294cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.6505843715558773cx, -0.5996820410891135cy), (0.689525474870672cx, -0.6452982174570213cy)])], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.09486832980505139mm)]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.09486832980505139mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}}(Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}[Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.42780991298900495cx, -0.07389294534794877cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.07347128818481141cx, -0.013770149729922743cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.34440842088693024cx, -0.15823034185108142cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.3353537511109048cx, 0.2138175018994004cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.36578084259397703cx, 0.23185173477407872cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.30175884821894616cx, -0.07438224989342757cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.21868765620679764cx, -0.4823691155431491cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.23454427426042113cx, -0.6130541059299474cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.16190327862755682cx, 0.09906842277283667cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.1903839529320328cx, -0.5747149957398446cy), 0.0031622776601683794w) … Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.26028698434686626cx, -0.8439661354287233cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.1697731203527988cx, -0.34794785157070174cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-1.0cx, 0.09064362017201466cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.5985354879874518cx, -0.1787461039037258cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.3469636809083193cx, -0.6326075127692663cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.09172917869789177cx, -0.05101561615436434cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.2652965397768041cx, 0.593830772075786cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.007329572971832121cx, 0.2543766924696116cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.05060011285358401cx, -0.27377190141314334cy), 0.0031622776601683794w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.17101033598066762cx, -0.01556783465327738cy), 0.0031622776601683794w)], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))]), List([]), List([]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Test on Toulouse_neigh\n", "toulouse_neigh_state = new_state(toulouse_neigh, 50)\n", "state, X = SAIR2(toulouse_neigh, toulouse_neigh_state, 0.9, 0.1, 0.1, 0.5, 50)\n", "\n", "plot = Plots.plot(1:size(X)[1], X, label = [\"Infected\" \"Recovered\" \"Susceptible\" \"Alert\"], palette=node_colors)\n", "png(\"img/q16_3p.png\")\n", "display(plot)\n", "\n", "nodefillc = node_colors[state.+1]\n", "plot = gplot(toulouse_neigh, nodefillc = nodefillc)\n", "draw(PNG(\"img/q16_3g.png\", 100cm, 100cm), plot)\n", "display(plot)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", " \n", "Question 17 (code): Implement the function `Simulation_SAIR` (respect the header and the specifications).\n", " \n", "###### The corrector should be able to write `predictions, taus = Simulation_SAIR(net,nbinf,betas0,betas1,alphas,kappas,t,nbsimu)` with your code." ] }, { "cell_type": "code", "execution_count": 78, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Simulation_SAIR" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "\"\"\"\n", "Take a contact network, different diseases (defined by different parameters alpha and beta), a number of initial infected people and process nbsimu simulations of SAIR over t time steps. You will provide the prediction of the percentage of infected at each time t as well as the spreading rate of each disease.\n", "\n", "* PARAMS\n", " - net (LightGraph): graph representing the contact network\n", " - nbinf (Int32): number of infected at the start of each simulation\n", " - betas0 (Array{Float64,1}): array of infection rate when not alert on edges\n", " - betas1 (Array{Float64,1}): array of infection rate when alert on edges\n", " - alphas (Array{Float64,1}): array of curing rate on vertices\n", " - kappas (Array{Float64,1}): array of alerting rate on edges\n", " - t (Int32): number of time step\n", " - nbsimu (Int32): number of simulations\n", "\n", "* RETURNS\n", " - (Array{Float64,3}): the prediction of the percentage of infected, the percentage of susceptible and the percentage of recovered at each time step and for each disease. The first dimension contains the time steps, the second contains the diseases, and the third the status (Infected: [:,:,1], Recovered: [:,:,2], Susceptible: [:,:,3])\n", " - (Array{Float64,1}): effective spreading rate for each disease\n", "\"\"\"\n", "function Simulation_SAIR(net, nbinf, betas0, betas1, alphas, kappas, t, nbsimu)\n", " taus = zeros(length(alphas))\n", " prediction = zeros(t+1, length(taus), 4)\n", "\n", " for (i, (beta0, beta1, alpha, kappa)) in enumerate(zip(betas0, betas1, alphas, kappas))\n", " taus[i] = round(beta0 / alpha, digits = 2)\n", " for _ in 1:nbsimu\n", " state = new_state(net, nbinf)\n", " _, X = SAIR2(net, state, beta0, beta1, alpha, kappa, t)\n", " prediction[:, i, :] += X ./ nbsimu ./ length(state)\n", " end\n", " end\n", "\n", " return prediction, taus\n", "end" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "Question 18 (written): Run the script below comparing the number of infected of SAIR and SIR and comment what you see.\n", "\n", "> On observe que le pic d'infection maximal de l'épidemie est moins important." ] }, { "cell_type": "code", "execution_count": 79, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Script launching prediction on one disease on toulouse_neigh and plotting the percentage\n", "# of infected at each time step for SIR and SAIR.\n", "predictions1, _ = Simulation_SAIR(toulouse_neigh, 2, [0.2], [0.1], [0.1], [0.5], 100, 1000)\n", "predictions2, _ = Simulation_SIR( toulouse_neigh, 2, [0.2], [0.1], 100, 1000)\n", "\n", "plot = Plots.plot(\n", " [predictions1[:, :, 2] predictions2[:, :, 2]],\n", " label = [\"SAIR\" \"SIR\"],\n", " xlabel = \"t\",\n", " ylabel = \"%\"\n", ")\n", "png(\"img/q18.png\")\n", "display(plot)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "Question 19 (written): Of course the presented SIS, SIR, and SAIR models are limitated in their modelization of the reality. Formulate few of these limitations (at least 2). Propose few algorithm addons/ideas (at least 2) which would make the models more complex and more accurate in regards to the reality.\n", "\n", "> Pour rendre la simulation plus précise, nous pourrions faire en sorte que les personnes dans l'état \"recovered\" puissent repasser dans un état \"suceptible\" après un certain moment. Il serait aussi possible de rajouter une dynamique dans les relations du graphe (i.e. quand les individus vont au travail, chez eux, au cinéma...)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "## Part 3 - Discover patient zero\n", " \n", "In the two previous parts you may have realised that understanding and controlling the spread of epidemics on contact networks is an important task. However, information about the origin of the epidemic could be also extremely useful to reduce or prevent future outbreaks. Thus, in this part we will focus on algorithm solutions to answer this issue.\n", " \n", "The stochastic nature of infection propagation makes the estimation of the epidemic origin intrinsically hard: indeed, different initial conditions can lead to the same configuration at the observation time. Methods such as the distance centrality or the Jordan center try to approximate it. They both rely on spatial information by stating that the first infected is probably at the center of the cluster of infection. Mathematically:\n", " \n", "* The jordan center is expressed as $\\min_{v\\in \\mathcal{I}}\\max_{n\\in \\mathcal{I}}d(v,n)$ where $\\mathcal{I}$ is a connected component of the original contact network containing all infected and recovered vertices, and where $d(\\cdot,\\cdot)$ is the distance (= the shortest path) between 2 vertices (if not weighted graph each edge accounts for 1 unit). \n", "* The distance centrality is expressed as $\\min_{v\\in \\mathcal{I}}\\sum_{n\\in \\mathcal{I}}d(v,n)(\\delta_{n,I} + \\delta_{n,R}/\\alpha)$, where $\\delta_{n,I}=1$ if the vertex n is infected ($=0$ otherwise), and where $\\delta_{n,R}=1$ if the vertex n is recovered ($=0$ otherwise). You may note that in distance centrality we increase the weight of the recovered vertices by a factor $1/\\alpha$, it translates the fact that recovered vertices tend to be closer to the origin of the epidemic since they probably got ill before.\n", " \n", " \n", "We formulate the problem as follow: given a contact network and a snapshot of epidemic spread at a certain time, determine the infection source. A snapshot is a given `state` array for a contact network.\n", "\n", "###### A. Y. Lokhov, M. Mézard, H. Ohta, and L. Zdeborová, _\"Inferring the origin of an epidemic with a dynamic message-passing algorithm\"_, Physical Review (2014)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", " \n", "Question 20 (code): Implement the function `jordan` (respect the header and the specifications). You will need to use the function `dijkstra_shortest_paths` of the LighGraphs library, refer to the doc for more information. If there are multiple minimal vertices, then return the first one.\n", " \n", "###### The corrector should be able to write `zero = jordan(g,state,alpha)` with your code." ] }, { "cell_type": "code", "execution_count": 85, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "jordan" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "\"\"\"\n", "Find patient zero by mean of the jordan center method.\n", "\n", "* PARAMS\n", " - g (LightGraph): graph representing the contact network\n", " - state (Array{Int32,1}): disease status of each vertex\n", "\n", "* RETURNS\n", " - (Int32): the patient zero vertex number \n", "\"\"\"\n", "function jordan(g, state)\n", " n = nv(g)\n", " d = zeros(n, n)\n", " for i in 1:n \n", " d[i,:] = dijkstra_shortest_paths(g, i).dists\n", " end\n", "\n", " _, min_index = findmin(maximum(d, dims = 1))\n", " _, jordan_center = min_index.I\n", "\n", " return jordan_center\n", "end\n", "\n", "# karat7_state = new_state(karat7, 1)\n", "# println(jordan(karat7, karat7_state))\n", "\n", "# nodefillc = node_colors[karat7_state.+1]\n", "# gplot(karat7, nodefillc = nodefillc, nodelabel=1:nv(karat7))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", " \n", "Question 21 (code): Implement the function `distance` (respect the header and the specifications). You will need to use the function `dijkstra_shortest_paths` of the LighGraphs library, refer to the doc for more information. If there are multiple minimal vertices, then return the first one.\n", " \n", "###### The corrector should be able to write `zero = distance(g,state,alpha)` with your code." ] }, { "cell_type": "code", "execution_count": 81, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "distance" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "\"\"\"Find patient zero by mean of the distance centrality method.\n", "\n", "* PARAMS\n", " - g (LightGraph): graph representing the contact network\n", " - state (Array{Int32,1}): disease status of each vertex\n", " - alpha (Float64): curing rate\n", "\n", "* RETURNS\n", " - (Int32): the patient zero vertex number \n", "\"\"\"\n", "function distance(g, state, alpha = 1.0)\n", "\n", " n = nv(g)\n", " \n", " d = zeros(n, n)\n", " for i in 1:n \n", " d[i,:] = dijkstra_shortest_paths(g, i).dists\n", " end\n", "\n", " delta_infected = (state .== 1)\n", " delta_recovered = (state .== 2)\n", "\n", " _, distance_centrality = findmin(\n", " sum(\n", " d[:,i] .* (delta_infected + delta_recovered / alpha)\n", " )\n", " for i in 1:n\n", " )\n", "\n", " return distance_centrality\n", "end\n", "\n", "# karat7_state = new_state(karat7, 0)\n", "# karat7_state[1] = 1\n", "# karat7_state[3] = 1\n", "# karat7_state[8] = 2\n", "# distance(karat7, karat7_state, 0.1)\n", "\n", "# nodefillc = node_colors[karat7_state.+1]\n", "# display(gplot(karat7, nodefillc = nodefillc, nodelabel=1:nv(karat7)))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "Question 22 (written): Run the 3 following scripts using your functions `state` and `state` and comment on the results.\n", " \n", "The contact network is karat7 for 2 different patient zero and a $50\\times 50$ grid. The real patient zero (\"Z\"), your jordan (\"J\") and distance (\"D\") approximations are appearing in `colorant\"lightblue\"`.\n", "\n", "> On observe que la méthode de jordan n'est pas très précise, sauf dans des réseaux simples, comme dans le premier script.\n", "> De même on observe que la méthode de la distance centrale est très efficace, et ce sur les 3 réseaux d'exemple. Celle-ci ne prédit pas exactement le patient zero original, mais le résultat est convaincant/cohérent. " ] }, { "cell_type": "code", "execution_count": 82, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n \n \n C+J+Z\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n R\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n R\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " C+J+Z\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", "\n", "\n", "\n" ], "text/plain": [ "Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, UnitBox{Float64, Float64, Float64, Float64}(-1.2, -1.2, 2.4, 2.4, 0.0mm, 0.0mm, 0.0mm, 0.0mm), nothing, nothing, nothing, List([Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.LinePrimitive}(Compose.LinePrimitive[Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.2259582461106952cx, -0.24918555414127622cy), (0.00736102494660424cx, -0.2378195538949111cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.23902686079116497cx, -0.22053658377248253cy), (-0.09641238008811971cx, 0.12761115940498324cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.26731855997540377cx, -0.20856192157344802cy), (0.2617389830230723cx, -0.0444113458630929cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.30287331782980786cx, -0.2774030447796846cy), (0.6059118150552271cx, -0.508392554127917cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.29450323891944985cx, -0.2857089902703514cy), (0.6455748275303544cx, -0.7537078609930745cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.3023382798732413cx, -0.27809037379993967cy), (0.7533343278663296cx, -0.6365756302309369cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.23961713885209499cx, -0.219978538374209cy), (0.17569429672687722cx, -0.15106741117600708cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.23335648588231203cx, -0.2272506887228561cy), (-0.24104631838661267cx, 0.09636796012262067cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.2873078279965703cx, -0.2900740973530922cy), (0.4705182129468949cx, -0.6722797190383316cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.3116374774775705cx, -0.250388133078889cy), (0.7741671585352011cx, -0.23934148155828733cy)]) … Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.2166578610300874cx, 0.6638332714694953cy), (-0.5047228146424372cx, 0.45756865853280304cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.20694570405526763cx, 0.48015359341534325cy), (-0.11099648778649679cx, 0.47971190081667425cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.2921241525572719cx, 0.4733806536783382cy), (-0.4972782264979167cx, 0.439578219798994cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.7254533501258691cx, 0.7515116624334416cy), (-0.6228367570538695cx, 0.5115315748123578cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.7211980489134584cx, 0.7536171391397574cy), (-0.5606947298050527cx, 0.46992424092590707cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.473034239773377cx, 0.11037714368270438cy), (-0.5911895919645084cx, 0.431866948457037cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.4676315682311649cx, 0.1119686288889082cy), (-0.530194935045493cx, 0.3907736060706983cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.11099287953235748cx, 0.47892432813589586cy), (-0.5631092276986266cx, 0.47269997583292384cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.11078630290005581cx, 0.47526979698114086cy), (-0.4969184758697008cx, 0.4368526498075439cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.5691329674701193cx, 0.4501884248316623cy), (-0.576429326974289cx, 0.45452925838247205cy)])], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.5144957554275265mm)]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.5144957554275265mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}}(Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}[Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.2687750538849616cx, -0.2514118214520833cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.03545578282766215cx, -0.23559328658410406cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.1261605731819163cx, 0.158486397084584cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.2602824891135145cx, -0.0015614459844576212cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.6400100790000733cx, -0.5343837774555182cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.6713030125648427cx, -0.7880050298113426cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.7868975538546092cx, -0.6632541825787932cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.14653638169401062cx, -0.11963412809813279cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.27646488638926225cx, 0.12052909285184787cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.6178736609860429cx, 0.05809270762023511cy), 0.017149858514250882w) … Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.10675942671277983cx, 0.9091165246636106cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.08506964004981743cx, 1.0cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.9401495057366023cx, 0.9015462601057842cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.18179819268093422cx, 0.6887940169852986cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.24981989606359822cx, 0.48035096046033243cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.7423102957269208cx, 0.7909334670486647cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.4582440202850675cx, 0.07013432194260671cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.0681222957781662cx, 0.47951453377168507cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.6059798114528179cx, 0.4721097701971346cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.5395824829915904cx, 0.43260791301699975cy), 0.017149858514250882w)], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.6784313725490196,0.8470588235294118,0.9019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)) … Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}}(Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}[Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((0.2687750538849616cx, -0.2514118214520833cy), \"C+J+Z\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((-0.03545578282766215cx, -0.23559328658410406cy), \"I\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((-0.1261605731819163cx, 0.158486397084584cy), \"I\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((0.2602824891135145cx, -0.0015614459844576212cy), \"I\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((0.6400100790000733cx, -0.5343837774555182cy), \"I\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((0.6713030125648427cx, -0.7880050298113426cy), \"I\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((0.7868975538546092cx, -0.6632541825787932cy), \"I\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((0.14653638169401062cx, -0.11963412809813279cy), \"I\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((-0.27646488638926225cx, 0.12052909285184787cy), \"I\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((-0.6178736609860429cx, 0.05809270762023511cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)) … Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((0.10675942671277983cx, 0.9091165246636106cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((-0.08506964004981743cx, 1.0cy), \"I\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((-0.9401495057366023cx, 0.9015462601057842cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((-0.18179819268093422cx, 0.6887940169852986cy), \"I\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((-0.24981989606359822cx, 0.48035096046033243cy), \"I\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((-0.7423102957269208cx, 0.7909334670486647cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((-0.4582440202850675cx, 0.07013432194260671cy), \"I\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((-0.0681222957781662cx, 0.47951453377168507cy), \"I\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((-0.6059798114528179cx, 0.4721097701971346cy), \"I\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((-0.5395824829915904cx, 0.43260791301699975cy), \"I\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm))], Symbol(\"\"))]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))]), List([]), List([]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "using LightGraphs\n", "\n", "# Loading a snapshot of karat7\n", "@load \"karat7_Q22_1.jld2\" g state pat_zero alpha beta loc_x loc_y\n", "g = Graphs.SimpleGraph(LightGraphs.adjacency_matrix(g))\n", "\n", "# Run the patient zero finding function\n", "cent_pat_zero = distance(g, state, alpha)\n", "jor_pat_zero = jordan(g, state)\n", "\n", "# Some display options \n", "labels = Array{String,1}(undef, nv(g))\n", "for k = 1:nv(g)\n", " if state[k] == 1\n", " labels[k] = \"I\"\n", " elseif state[k] == 2\n", " labels[k] = \"R\"\n", " else\n", " labels[k] = \"S\"\n", " end\n", "end\n", "\n", "if cent_pat_zero == jor_pat_zero == pat_zero\n", " labels[cent_pat_zero] = \"C+J+Z\"\n", "elseif cent_pat_zero == jor_pat_zero\n", " labels[cent_pat_zero] = \"C+J\"\n", " labels[pat_zero] = \"Z\"\n", "elseif cent_pat_zero == pat_zero\n", " labels[cent_pat_zero] = \"C+Z\"\n", " labels[jor_pat_zero] = \"J\"\n", "elseif jor_pat_zero == pat_zero\n", " labels[jor_pat_zero] = \"J+Z\"\n", " labels[cent_pat_zero] = \"C\"\n", "else\n", " labels[cent_pat_zero] = \"C\"\n", " labels[jor_pat_zero] = \"J\"\n", " labels[pat_zero] = \"Z\"\n", "end\n", "\n", "nodecolor = [colorant\"lightseagreen\", colorant\"orange\", colorant\"purple\"]\n", "colors = nodecolor[state+ones(Int32, nv(g))]\n", "colors[pat_zero] = colorant\"lightblue\"\n", "colors[cent_pat_zero] = colorant\"lightblue\"\n", "colors[jor_pat_zero] = colorant\"lightblue\"\n", "\n", "# Display\n", "plot = gplot(g, loc_x, loc_y, nodefillc = colors, nodelabel = labels)\n", "draw(PNG(\"img/karat7_Q22_1.png\", 20cm, 20cm), plot)\n", "display(plot)" ] }, { "cell_type": "code", "execution_count": 83, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n \n \n J\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n C\n \n \n \n \n Z\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " J\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " C\n", " \n", " \n", " \n", " \n", " Z\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", "\n", "\n", "\n" ], "text/plain": [ "Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, UnitBox{Float64, Float64, Float64, Float64}(-1.2, -1.2, 2.4, 2.4, 0.0mm, 0.0mm, 0.0mm, 0.0mm), nothing, nothing, nothing, List([Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.LinePrimitive}(Compose.LinePrimitive[Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.1821341606864012cx, -0.3555250203309366cy), (-0.052015895127244256cx, -0.393718747386709cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.1953705010584299cx, -0.3108967671647941cy), (0.11175806083255545cx, 0.047415548207378894cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.21537386871490505cx, -0.3013087807535809cy), (-0.1840756529015417cx, -0.13434058800692347cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.25942803596377323cx, -0.36649418046841287cy), (-0.5249420114657999cx, -0.5357298147183377cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.26464471782168736cx, -0.3547023836211602cy), (-0.6930820876680576cx, -0.4712358736430681cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.25757488086562674cx, -0.369171555310935cy), (-0.6583513432019036cx, -0.6697047785330269cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.21472777371737461cx, -0.3014350334140413cy), (-0.1519047984080603cx, 0.007442233679612151cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.1827226534507379cx, -0.329524916727921cy), (0.22915977516915842cx, -0.18808954277432083cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.2656633379314085cx, -0.33702241338631045cy), (-0.5787809241073194cx, -0.28954867639487225cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.23624096520553253cx, -0.3843159600534705cy), (-0.4186429255649407cx, -0.9591334983776645cy)]) … Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.42018927432457415cx, 0.5648369974777736cy), (0.5402303046500759cx, 0.13668519407612265cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.33864000904572433cx, 0.2865016005187614cy), (0.27945512735061107cx, 0.32582787765746535cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.4055402833932549cx, 0.23335565349935275cy), (0.5206146001933643cx, 0.12482025612351776cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.79991781491538cx, 0.28991403966644363cy), (0.6338419367155463cx, 0.06825079388187756cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.7927262393330345cx, 0.2967334616852106cy), (0.5847041298595348cx, 0.12289546120629986cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.4224573232062523cx, -0.3085640091007441cy), (0.5877005131564352cx, -0.0037538648049574436cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.41579359975579155cx, -0.3056529466662346cy), (0.5380348541685389cx, 0.05479916210372235cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.27615311760547767cx, 0.32148553783075934cy), (0.5757260487887468cx, 0.06200878833050533cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.2768171494490926cx, 0.3222710247236091cy), (0.5187326345067749cx, 0.12268739078084485cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(0.5791662425798199cx, 0.06554681003713528cy), (0.5807726710046883cx, 0.06379394757077314cy)])], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.5144957554275265mm)]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.5144957554275265mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}}(Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}[Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.2232731458333601cx, -0.34344945843113495cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.010876909980285343cx, -0.4057943092865106cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.13966070560748567cx, 0.07996823947371978cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.17617637578308665cx, -0.09219991032936947cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.5610969015962131cx, -0.5587745367556156cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.7344536596563848cx, -0.48248879883309337cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.6926530782341702cx, -0.6954268754128269cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-0.14335942629207477cx, 0.04945665869670579cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.2697102675517806cx, -0.17416500107110688cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.27684201594988456cx, 0.5364836795398262cy), 0.017149858514250882w) … Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.26979628211274664cx, 1.0cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.4410189399424904cx, 0.9708130800221919cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((1.0cx, 0.37316977942911644cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.4086148134015746cx, 0.6061197680783474cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.37435011801354356cx, 0.26277348614732166cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.8256256036194938cx, 0.3242264994159616cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.4020236883512549cx, -0.3462562080380611cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.24374501838279183cx, 0.3495559920289051cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.6081341480114326cx, 0.03393833413235958cy), 0.017149858514250882w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((0.5518047655730756cx, 0.09540242347554884cy), 0.017149858514250882w)], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.6784313725490196,0.8470588235294118,0.9019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.6784313725490196,0.8470588235294118,0.9019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.6784313725490196,0.8470588235294118,0.9019607843137255,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(1.0,0.6470588235294118,0.0,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)) … Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0)), Compose.FillPrimitive(RGBA{Float64}(0.12549019607843137,0.6980392156862745,0.6666666666666666,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}}(Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}[Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((-0.2232731458333601cx, -0.34344945843113495cy), \"J\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((-0.010876909980285343cx, -0.4057943092865106cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((0.13966070560748567cx, 0.07996823947371978cy), \"I\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((-0.17617637578308665cx, -0.09219991032936947cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((-0.5610969015962131cx, -0.5587745367556156cy), \"I\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((-0.7344536596563848cx, -0.48248879883309337cy), \"C\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((-0.6926530782341702cx, -0.6954268754128269cy), \"Z\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((-0.14335942629207477cx, 0.04945665869670579cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((0.2697102675517806cx, -0.17416500107110688cy), \"I\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((0.27684201594988456cx, 0.5364836795398262cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)) … Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((0.26979628211274664cx, 1.0cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((0.4410189399424904cx, 0.9708130800221919cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((1.0cx, 0.37316977942911644cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((0.4086148134015746cx, 0.6061197680783474cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((0.37435011801354356cx, 0.26277348614732166cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((0.8256256036194938cx, 0.3242264994159616cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((0.4020236883512549cx, -0.3462562080380611cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((0.24374501838279183cx, 0.3495559920289051cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((0.6081341480114326cx, 0.03393833413235958cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((0.5518047655730756cx, 0.09540242347554884cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm))], Symbol(\"\"))]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))]), List([]), List([]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Loading a snapshot of karat7\n", "@load \"karat7_Q22_2.jld2\" g state pat_zero alpha beta loc_x loc_y\n", "g = Graphs.SimpleGraph(LightGraphs.adjacency_matrix(g))\n", "\n", "# Run the patient zero finding function\n", "cent_pat_zero = distance(g, state, alpha)\n", "jor_pat_zero = jordan(g, state)\n", "\n", "# Some display options \n", "labels = Array{String,1}(undef, nv(g))\n", "for k = 1:nv(g)\n", " if state[k] == 1\n", " labels[k] = \"I\"\n", " elseif state[k] == 2\n", " labels[k] = \"R\"\n", " else\n", " labels[k] = \"S\"\n", " end\n", "end\n", "\n", "if cent_pat_zero == jor_pat_zero == pat_zero\n", " labels[cent_pat_zero] = \"C+J+Z\"\n", "elseif cent_pat_zero == jor_pat_zero\n", " labels[cent_pat_zero] = \"C+J\"\n", " labels[pat_zero] = \"Z\"\n", "elseif cent_pat_zero == pat_zero\n", " labels[cent_pat_zero] = \"C+Z\"\n", " labels[jor_pat_zero] = \"J\"\n", "elseif jor_pat_zero == pat_zero\n", " labels[jor_pat_zero] = \"J+Z\"\n", " labels[cent_pat_zero] = \"C\"\n", "else\n", " labels[cent_pat_zero] = \"C\"\n", " labels[jor_pat_zero] = \"J\"\n", " labels[pat_zero] = \"Z\"\n", "end\n", "\n", "nodecolor = [colorant\"lightseagreen\", colorant\"orange\", colorant\"purple\"]\n", "colors = nodecolor[state+ones(Int32, nv(g))]\n", "colors[pat_zero] = colorant\"lightblue\"\n", "colors[cent_pat_zero] = colorant\"lightblue\"\n", "colors[jor_pat_zero] = colorant\"lightblue\"\n", "\n", "# Display\n", "plot = gplot(g, loc_x, loc_y, nodefillc = colors, nodelabel = labels)\n", "draw(PNG(\"img/karat7_Q22_2.png\", 20cm, 20cm), plot)\n", "display(plot)" ] }, { "cell_type": "code", "execution_count": 84, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "image/svg+xml": "\n\n\n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n C\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n R\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n Z\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n R\n \n \n \n \n S\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n R\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n I\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n J\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n \n \n S\n \n \n\n\n", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " C\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " Z\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " R\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " I\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " J\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", " \n", " \n", " S\n", " \n", " \n", "\n", "\n", "\n" ], "text/plain": [ "Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, UnitBox{Float64, Float64, Float64, Float64}(-1.2, -1.2, 2.4, 2.4, 0.0mm, 0.0mm, 0.0mm, 0.0mm), nothing, nothing, nothing, List([Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.LinePrimitive}(Compose.LinePrimitive[Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-1.0cx, -0.995cy), (-1.0cx, -0.9641836734693877cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.995cx, -1.0cy), (-0.9641836734693877cx, -1.0cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-1.0cx, -0.9541836734693877cy), (-1.0cx, -0.9233673469387755cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.995cx, -0.9591836734693877cy), (-0.9641836734693877cx, -0.9591836734693877cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-1.0cx, -0.9133673469387755cy), (-1.0cx, -0.8825510204081632cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.995cx, -0.9183673469387755cy), (-0.9641836734693877cx, -0.9183673469387755cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-1.0cx, -0.8725510204081632cy), (-1.0cx, -0.8417346938775511cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.995cx, -0.8775510204081632cy), (-0.9641836734693877cx, -0.8775510204081632cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-1.0cx, -0.8317346938775511cy), (-1.0cx, -0.8009183673469388cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(-0.995cx, -0.8367346938775511cy), (-0.9641836734693877cx, -0.8367346938775511cy)]) … Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(1.0cx, 0.5968367346938775cy), (1.0cx, 0.6276530612244898cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(1.0cx, 0.6376530612244898cy), (1.0cx, 0.6684693877551021cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(1.0cx, 0.6784693877551021cy), (1.0cx, 0.7092857142857142cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(1.0cx, 0.7192857142857142cy), (1.0cx, 0.7501020408163265cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(1.0cx, 0.7601020408163265cy), (1.0cx, 0.7909183673469388cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(1.0cx, 0.8009183673469388cy), (1.0cx, 0.8317346938775511cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(1.0cx, 0.8417346938775511cy), (1.0cx, 0.8725510204081633cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(1.0cx, 0.8825510204081634cy), (1.0cx, 0.9133673469387754cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(1.0cx, 0.9233673469387754cy), (1.0cx, 0.9541836734693877cy)]), Compose.LinePrimitive{Tuple{Measure, Measure}}(Tuple{Measure, Measure}[(1.0cx, 0.9641836734693877cy), (1.0cx, 0.995cy)])], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.06mm)]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.06mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.8274509803921568,0.8274509803921568,0.8274509803921568,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}}(Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}[Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-1.0cx, -1.0cy), 0.002w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-1.0cx, -0.9591836734693877cy), 0.002w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-1.0cx, -0.9183673469387755cy), 0.002w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-1.0cx, -0.8775510204081632cy), 0.002w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-1.0cx, -0.8367346938775511cy), 0.002w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-1.0cx, -0.7959183673469388cy), 0.002w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-1.0cx, -0.7551020408163265cy), 0.002w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-1.0cx, -0.7142857142857143cy), 0.002w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-1.0cx, -0.6734693877551021cy), 0.002w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((-1.0cx, -0.6326530612244898cy), 0.002w) … Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((1.0cx, 0.6326530612244898cy), 0.002w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((1.0cx, 0.6734693877551021cy), 0.002w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((1.0cx, 0.7142857142857142cy), 0.002w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((1.0cx, 0.7551020408163265cy), 0.002w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((1.0cx, 0.7959183673469388cy), 0.002w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((1.0cx, 0.8367346938775511cy), 0.002w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((1.0cx, 0.8775510204081634cy), 0.002w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((1.0cx, 0.9183673469387754cy), 0.002w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((1.0cx, 0.9591836734693877cy), 0.002w), Compose.CirclePrimitive{Tuple{Measure, Measure}, Measure}((1.0cx, 1.0cy), 0.002w)], Symbol(\"\"))]), List([Compose.Property{Compose.LineWidthPrimitive}(Compose.LineWidthPrimitive[Compose.LineWidthPrimitive(0.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\")), Context(BBox{l,t,r,b,w,h = 0.0w,0.0h, 1.0w,1.0h, 1.0w,1.0h}, nothing, nothing, nothing, nothing, List([]), List([Compose.Form{Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}}(Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}[Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((-1.0cx, -1.0cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((-1.0cx, -0.9591836734693877cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((-1.0cx, -0.9183673469387755cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((-1.0cx, -0.8775510204081632cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((-1.0cx, -0.8367346938775511cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((-1.0cx, -0.7959183673469388cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((-1.0cx, -0.7551020408163265cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((-1.0cx, -0.7142857142857143cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((-1.0cx, -0.6734693877551021cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((-1.0cx, -0.6326530612244898cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)) … Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((1.0cx, 0.6326530612244898cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((1.0cx, 0.6734693877551021cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((1.0cx, 0.7142857142857142cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((1.0cx, 0.7551020408163265cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((1.0cx, 0.7959183673469388cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((1.0cx, 0.8367346938775511cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((1.0cx, 0.8775510204081634cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((1.0cx, 0.9183673469387754cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((1.0cx, 0.9591836734693877cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm)), Compose.TextPrimitive{Tuple{Measures.Length{:cx, Float64}, Measures.Length{:cy, Float64}}, Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}, Tuple{Measures.AbsoluteLength, Measures.AbsoluteLength}}((1.0cx, 1.0cy), \"S\", Compose.HCenter(), Compose.VCenter(), Rotation{Tuple{Measures.Length{:w, Float64}, Measures.Length{:h, Float64}}}(0.0, (0.5w, 0.5h)), (0.0mm, 0.0mm))], Symbol(\"\"))]), List([Compose.Property{Compose.FontSizePrimitive}(Compose.FontSizePrimitive[Compose.FontSizePrimitive(4.0mm)]), Compose.Property{Compose.StrokePrimitive}(Compose.StrokePrimitive[Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]), Compose.Property{Compose.FillPrimitive}(Compose.FillPrimitive[Compose.FillPrimitive(RGBA{Float64}(0.0,0.0,0.0,1.0))])]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))]), List([]), List([]), 0, false, false, false, false, nothing, nothing, 0.0, Symbol(\"\"))" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Loading a snapshot of karat7\n", "@load \"grid50_Q22.jld2\" g state pat_zero alpha beta loc_x loc_y\n", "g = Graphs.SimpleGraph(LightGraphs.adjacency_matrix(g))\n", "\n", "####\n", "\n", "n = nv(g)\n", "d = zeros(n, n)\n", "for i in 1:n \n", " d[i,:] = dijkstra_shortest_paths(g, i).dists\n", "end\n", "\n", "####\n", "\n", "\n", "# Run the patient zero finding function\n", "cent_pat_zero = distance(g, state, alpha)\n", "jor_pat_zero = jordan(g, state)\n", "\n", "# Some display options \n", "labels = Array{String,1}(undef, nv(g))\n", "for k = 1:nv(g)\n", " if state[k] == 1\n", " labels[k] = \"I\"\n", " elseif state[k] == 2\n", " labels[k] = \"R\"\n", " else\n", " labels[k] = \"S\"\n", " end\n", "end\n", "\n", "if cent_pat_zero == jor_pat_zero == pat_zero\n", " labels[cent_pat_zero] = \"C+J+Z\"\n", "elseif cent_pat_zero == jor_pat_zero\n", " labels[cent_pat_zero] = \"C+J\"\n", " labels[pat_zero] = \"Z\"\n", "elseif cent_pat_zero == pat_zero\n", " labels[cent_pat_zero] = \"C+Z\"\n", " labels[jor_pat_zero] = \"J\"\n", "elseif jor_pat_zero == pat_zero\n", " labels[jor_pat_zero] = \"J+Z\"\n", " labels[cent_pat_zero] = \"C\"\n", "else\n", " labels[cent_pat_zero] = \"C\"\n", " labels[jor_pat_zero] = \"J\"\n", " labels[pat_zero] = \"Z\"\n", "end\n", "\n", "nodecolor = [colorant\"lightseagreen\", colorant\"orange\", colorant\"purple\"]\n", "colors = nodecolor[state+ones(Int32, nv(g))]\n", "colors[pat_zero] = colorant\"lightblue\"\n", "colors[cent_pat_zero] = colorant\"lightblue\"\n", "colors[jor_pat_zero] = colorant\"lightblue\"\n", "\n", "# Display\n", "plot = gplot(g, loc_x, loc_y, nodefillc = colors, nodelabel = labels)\n", "draw(PNG(\"img/karat7_Q22_3.png\", 100cm, 100cm), plot)\n", "display(plot)" ] } ], "metadata": { "kernelspec": { "display_name": "Julia 1.8.0-DEV", "language": "julia", "name": "julia-1.8" }, "language_info": { "file_extension": ".jl", "mimetype": "application/julia", "name": "julia", "version": "1.8.0-DEV" } }, "nbformat": 4, "nbformat_minor": 4 }