3975 lines
730 KiB
Plaintext
3975 lines
730 KiB
Plaintext
{
|
||
"cells": [
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 1,
|
||
"metadata": {
|
||
"collapsed": true
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"using Gadfly"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"# Athena/Phoenix Simulation\n",
|
||
"\n",
|
||
"## Underlying simulation\n",
|
||
"\n",
|
||
"In order to price the autocallable bonds, we need to simulate the underlying assets. Let's go ahead and set up the simulation first, as this lays the foundation for what we're trying to do. We're going to use [JNJ](http://finance.yahoo.com/q?s=jnj) as the basis for our simulation. This implies the following parameters:\n",
|
||
"\n",
|
||
"- $S_0$ = \\$102.2 (as of time of writing)\n",
|
||
"- $q$ = 2.84%\n",
|
||
"- $r$ = [.49, .9, 1.21, 1.45, 1.69] (term structure as of time of writing, linear interpolation)\n",
|
||
"- $\\mu$ = $r - q$ (note that this implies a negative drift because of current low rates)\n",
|
||
"- $\\sigma$ = $\\sigma_{imp}$ = 15.62% (from VIX implied volatility)\n",
|
||
"\n",
|
||
"We additionally define some parameters for simulation:\n",
|
||
"\n",
|
||
"- `T`: The number of years to simulate\n",
|
||
"- `m`: The number of paths to simulate\n",
|
||
"- `n`: The number of steps to simulate in a year"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 2,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"5"
|
||
]
|
||
},
|
||
"execution_count": 2,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"S0 = 102.2\n",
|
||
"nominal = 100\n",
|
||
"q = 2.84 / 100\n",
|
||
"σ = 15.37 / 100\n",
|
||
"term = [0, .49, .9, 1.21, 1.45, 1.69] / 100 + 1\n",
|
||
"\n",
|
||
"###\n",
|
||
"# Potential: Based on PEP\n",
|
||
"# S0 = 100.6\n",
|
||
"# σ = 14.86\n",
|
||
"# q = 2.7\n",
|
||
"###\n",
|
||
"\n",
|
||
"# Simulation parameters\n",
|
||
"T = 5 # Using years as the unit of time\n",
|
||
"n = 250 # simulations per year\n",
|
||
"m = 100000 # paths\n",
|
||
"num_simulations = 5; # simulation rounds per price"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"### Defining the simulation\n",
|
||
"To make things simpler, we simulate a single year at a time. This allows us to easily add in a dividend policy without too much difficulty, and update the simulation every year to match the term structure. The underlying uses GBM for simulation between years."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 3,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"simulate_gbm = function(S0, μ, σ, T, n)\n",
|
||
" # Set the initial state\n",
|
||
" m = length(S0)\n",
|
||
" t = T / n\n",
|
||
" motion = zeros(m, n)\n",
|
||
" motion[:,1] = S0\n",
|
||
" \n",
|
||
" # Build out all states\n",
|
||
" for i=1:(n-1)\n",
|
||
" motion[:,i+1] = motion[:,i] .* exp((μ - σ^2/2)*t) .* exp(sqrt(t) * σ .* randn(m))\n",
|
||
" end\n",
|
||
" \n",
|
||
" return motion\n",
|
||
"end\n",
|
||
"\n",
|
||
"function display_motion(motion, T)\n",
|
||
" # Given a matrix of paths, display the motion\n",
|
||
" n = length(motion[1,:])\n",
|
||
" m = length(motion[:,1])\n",
|
||
" x = repmat(1:n, m)\n",
|
||
" \n",
|
||
" # Calculate the ticks we're going to use. We'd like to\n",
|
||
" # have an xtick every month, so calculate where those\n",
|
||
" # ticks will actually be at.\n",
|
||
" if (T > 3)\n",
|
||
" num_ticks = T\n",
|
||
" xlabel = \"Years\"\n",
|
||
" else\n",
|
||
" num_ticks = T * 12\n",
|
||
" xlabel = \"Months\"\n",
|
||
" end\n",
|
||
" tick_width = n / num_ticks\n",
|
||
" x_ticks = []\n",
|
||
" for i=1:round(num_ticks)\n",
|
||
" x_ticks = vcat(x_ticks, i*tick_width)\n",
|
||
" end\n",
|
||
" \n",
|
||
" # Use one color for each path. I'm not sure if there's\n",
|
||
" # a better way to do this without going through DataFrames\n",
|
||
" colors = []\n",
|
||
" for i = 1:m\n",
|
||
" colors = vcat(colors, ones(n)*i)\n",
|
||
" end\n",
|
||
" \n",
|
||
" plot(x=x, y=motion', color=colors, Geom.line,\n",
|
||
" Guide.xticks(ticks=x_ticks, label=false),\n",
|
||
" Guide.xlabel(xlabel),\n",
|
||
" Guide.ylabel(\"Value\"))\n",
|
||
"end;"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"### Example simulation\n",
|
||
"\n",
|
||
"Let's go ahead and run a sample simulation to see what the functions got us!"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 4,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": "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",
|
||
"image/svg+xml": [
|
||
"<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n",
|
||
"<svg xmlns=\"http://www.w3.org/2000/svg\"\n",
|
||
" xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
|
||
" xmlns:gadfly=\"http://www.gadflyjl.org/ns\"\n",
|
||
" version=\"1.2\"\n",
|
||
" width=\"141.42mm\" height=\"100mm\" viewBox=\"0 0 141.42 100\"\n",
|
||
" stroke=\"none\"\n",
|
||
" fill=\"#000000\"\n",
|
||
" stroke-width=\"0.3\"\n",
|
||
" font-size=\"3.88\"\n",
|
||
">\n",
|
||
"<g class=\"plotroot xscalable yscalable\" id=\"fig-5f2bef255c9640798a762cea30b280d2-element-1\">\n",
|
||
" <g font-size=\"3.88\" font-family=\"'PT Sans','Helvetica Neue','Helvetica',sans-serif\" fill=\"#564A55\" stroke=\"#000000\" stroke-opacity=\"0.000\" id=\"fig-5f2bef255c9640798a762cea30b280d2-element-2\">\n",
|
||
" <text x=\"73.61\" y=\"88.39\" text-anchor=\"middle\" dy=\"0.6em\">Months</text>\n",
|
||
" </g>\n",
|
||
" <g class=\"guide colorkey\" id=\"fig-5f2bef255c9640798a762cea30b280d2-element-3\">\n",
|
||
" <g font-size=\"2.82\" font-family=\"'PT Sans','Helvetica Neue','Helvetica',sans-serif\" fill=\"#4C404B\" id=\"fig-5f2bef255c9640798a762cea30b280d2-element-4\">\n",
|
||
" <text x=\"131.9\" y=\"66.46\" dy=\"0.35em\">1</text>\n",
|
||
" <text x=\"131.9\" y=\"39.15\" dy=\"0.35em\">5</text>\n",
|
||
" <text x=\"131.9\" y=\"59.63\" dy=\"0.35em\">2</text>\n",
|
||
" <text x=\"131.9\" y=\"52.81\" dy=\"0.35em\">3</text>\n",
|
||
" <text x=\"131.9\" y=\"45.98\" dy=\"0.35em\">4</text>\n",
|
||
" </g>\n",
|
||
" <g shape-rendering=\"crispEdges\" stroke=\"#000000\" stroke-opacity=\"0.000\" id=\"fig-5f2bef255c9640798a762cea30b280d2-element-5\">\n",
|
||
" <rect x=\"129.58\" y=\"65.78\" width=\"1.31\" height=\"0.68\" fill=\"#004D84\"/>\n",
|
||
" <rect x=\"129.58\" y=\"65.1\" width=\"1.31\" height=\"0.68\" fill=\"#005B8D\"/>\n",
|
||
" <rect x=\"129.58\" y=\"64.41\" width=\"1.31\" height=\"0.68\" fill=\"#006995\"/>\n",
|
||
" <rect x=\"129.58\" y=\"63.73\" width=\"1.31\" height=\"0.68\" fill=\"#00769D\"/>\n",
|
||
" <rect x=\"129.58\" y=\"63.05\" width=\"1.31\" height=\"0.68\" fill=\"#0083A3\"/>\n",
|
||
" <rect x=\"129.58\" y=\"62.36\" width=\"1.31\" height=\"0.68\" fill=\"#278FA9\"/>\n",
|
||
" <rect x=\"129.58\" y=\"61.68\" width=\"1.31\" height=\"0.68\" fill=\"#409BAF\"/>\n",
|
||
" <rect x=\"129.58\" y=\"61\" width=\"1.31\" height=\"0.68\" fill=\"#55A7B5\"/>\n",
|
||
" <rect x=\"129.58\" y=\"60.32\" width=\"1.31\" height=\"0.68\" fill=\"#69B2BA\"/>\n",
|
||
" <rect x=\"129.58\" y=\"59.63\" width=\"1.31\" height=\"0.68\" fill=\"#7BBCC0\"/>\n",
|
||
" <rect x=\"129.58\" y=\"58.95\" width=\"1.31\" height=\"0.68\" fill=\"#8DC6C5\"/>\n",
|
||
" <rect x=\"129.58\" y=\"58.27\" width=\"1.31\" height=\"0.68\" fill=\"#9ED0CB\"/>\n",
|
||
" <rect x=\"129.58\" y=\"57.59\" width=\"1.31\" height=\"0.68\" fill=\"#A5CFC7\"/>\n",
|
||
" <rect x=\"129.58\" y=\"56.9\" width=\"1.31\" height=\"0.68\" fill=\"#ABCEC4\"/>\n",
|
||
" <rect x=\"129.58\" y=\"56.22\" width=\"1.31\" height=\"0.68\" fill=\"#B1CCC2\"/>\n",
|
||
" <rect x=\"129.58\" y=\"55.54\" width=\"1.31\" height=\"0.68\" fill=\"#B5CCC1\"/>\n",
|
||
" <rect x=\"129.58\" y=\"54.85\" width=\"1.31\" height=\"0.68\" fill=\"#B7CBBF\"/>\n",
|
||
" <rect x=\"129.58\" y=\"54.17\" width=\"1.31\" height=\"0.68\" fill=\"#B9CBBD\"/>\n",
|
||
" <rect x=\"129.58\" y=\"53.49\" width=\"1.31\" height=\"0.68\" fill=\"#BBCBBB\"/>\n",
|
||
" <rect x=\"129.58\" y=\"52.81\" width=\"1.31\" height=\"0.68\" fill=\"#BDCABA\"/>\n",
|
||
" <rect x=\"129.58\" y=\"52.12\" width=\"1.31\" height=\"0.68\" fill=\"#BFCAB8\"/>\n",
|
||
" <rect x=\"129.58\" y=\"51.44\" width=\"1.31\" height=\"0.68\" fill=\"#C2C9B7\"/>\n",
|
||
" <rect x=\"129.58\" y=\"50.76\" width=\"1.31\" height=\"0.68\" fill=\"#C4C9B6\"/>\n",
|
||
" <rect x=\"129.58\" y=\"50.07\" width=\"1.31\" height=\"0.68\" fill=\"#C6C8B5\"/>\n",
|
||
" <rect x=\"129.58\" y=\"49.39\" width=\"1.31\" height=\"0.68\" fill=\"#C9C7B4\"/>\n",
|
||
" <rect x=\"129.58\" y=\"48.71\" width=\"1.31\" height=\"0.68\" fill=\"#CCC7B2\"/>\n",
|
||
" <rect x=\"129.58\" y=\"48.03\" width=\"1.31\" height=\"0.68\" fill=\"#CFC6AE\"/>\n",
|
||
" <rect x=\"129.58\" y=\"47.34\" width=\"1.31\" height=\"0.68\" fill=\"#D4C5AA\"/>\n",
|
||
" <rect x=\"129.58\" y=\"46.66\" width=\"1.31\" height=\"0.68\" fill=\"#D8C3A6\"/>\n",
|
||
" <rect x=\"129.58\" y=\"45.98\" width=\"1.31\" height=\"0.68\" fill=\"#D3B79A\"/>\n",
|
||
" <rect x=\"129.58\" y=\"45.3\" width=\"1.31\" height=\"0.68\" fill=\"#CDAB8E\"/>\n",
|
||
" <rect x=\"129.58\" y=\"44.61\" width=\"1.31\" height=\"0.68\" fill=\"#C89E82\"/>\n",
|
||
" <rect x=\"129.58\" y=\"43.93\" width=\"1.31\" height=\"0.68\" fill=\"#C19177\"/>\n",
|
||
" <rect x=\"129.58\" y=\"43.25\" width=\"1.31\" height=\"0.68\" fill=\"#BA836C\"/>\n",
|
||
" <rect x=\"129.58\" y=\"42.56\" width=\"1.31\" height=\"0.68\" fill=\"#B27563\"/>\n",
|
||
" <rect x=\"129.58\" y=\"41.88\" width=\"1.31\" height=\"0.68\" fill=\"#AA665A\"/>\n",
|
||
" <rect x=\"129.58\" y=\"41.2\" width=\"1.31\" height=\"0.68\" fill=\"#A05752\"/>\n",
|
||
" <rect x=\"129.58\" y=\"40.52\" width=\"1.31\" height=\"0.68\" fill=\"#96484A\"/>\n",
|
||
" <rect x=\"129.58\" y=\"39.83\" width=\"1.31\" height=\"0.68\" fill=\"#8B3844\"/>\n",
|
||
" <rect x=\"129.58\" y=\"39.15\" width=\"1.31\" height=\"0.68\" fill=\"#7E273E\"/>\n",
|
||
" <g stroke=\"#FFFFFF\" stroke-width=\"0.2\" id=\"fig-5f2bef255c9640798a762cea30b280d2-element-6\">\n",
|
||
" <path fill=\"none\" d=\"M129.58,66.46 L 130.9 66.46\"/>\n",
|
||
" <path fill=\"none\" d=\"M129.58,39.15 L 130.9 39.15\"/>\n",
|
||
" <path fill=\"none\" d=\"M129.58,59.63 L 130.9 59.63\"/>\n",
|
||
" <path fill=\"none\" d=\"M129.58,52.81 L 130.9 52.81\"/>\n",
|
||
" <path fill=\"none\" d=\"M129.58,45.98 L 130.9 45.98\"/>\n",
|
||
" </g>\n",
|
||
" </g>\n",
|
||
" <g fill=\"#362A35\" font-size=\"3.88\" font-family=\"'PT Sans','Helvetica Neue','Helvetica',sans-serif\" stroke=\"#000000\" stroke-opacity=\"0.000\" id=\"fig-5f2bef255c9640798a762cea30b280d2-element-7\">\n",
|
||
" <text x=\"129.58\" y=\"35.15\">Color</text>\n",
|
||
" </g>\n",
|
||
" </g>\n",
|
||
" <g clip-path=\"url(#fig-5f2bef255c9640798a762cea30b280d2-element-9)\" id=\"fig-5f2bef255c9640798a762cea30b280d2-element-8\">\n",
|
||
" <g pointer-events=\"visible\" opacity=\"1\" fill=\"#000000\" fill-opacity=\"0.000\" stroke=\"#000000\" stroke-opacity=\"0.000\" class=\"guide background\" id=\"fig-5f2bef255c9640798a762cea30b280d2-element-10\">\n",
|
||
" <rect x=\"19.63\" y=\"5\" width=\"107.95\" height=\"80.39\"/>\n",
|
||
" </g>\n",
|
||
" <g class=\"guide ygridlines xfixed\" stroke-dasharray=\"0.5,0.5\" stroke-width=\"0.2\" stroke=\"#D0D0E0\" id=\"fig-5f2bef255c9640798a762cea30b280d2-element-11\">\n",
|
||
" <path fill=\"none\" d=\"M19.63,83.39 L 127.58 83.39\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,68.11 L 127.58 68.11\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,52.83 L 127.58 52.83\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,37.56 L 127.58 37.56\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,22.28 L 127.58 22.28\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,7 L 127.58 7\"/>\n",
|
||
" </g>\n",
|
||
" <g class=\"guide xgridlines yfixed\" stroke-dasharray=\"0.5,0.5\" stroke-width=\"0.2\" stroke=\"#D0D0E0\" id=\"fig-5f2bef255c9640798a762cea30b280d2-element-12\">\n",
|
||
" <path fill=\"none\" d=\"M55.93,5 L 55.93 85.39\"/>\n",
|
||
" <path fill=\"none\" d=\"M90.76,5 L 90.76 85.39\"/>\n",
|
||
" <path fill=\"none\" d=\"M125.58,5 L 125.58 85.39\"/>\n",
|
||
" </g>\n",
|
||
" <g class=\"plotpanel\" id=\"fig-5f2bef255c9640798a762cea30b280d2-element-13\">\n",
|
||
" <g stroke-width=\"0.3\" fill=\"#000000\" fill-opacity=\"0.000\" stroke-dasharray=\"none\" id=\"fig-5f2bef255c9640798a762cea30b280d2-element-14\">\n",
|
||
" <path fill=\"none\" d=\"M21.63,61.39 L 22.15 63.01 22.68 64.88 23.2 65.75 23.72 65.53 24.24 66.19 24.77 65.44 25.29 64.6 25.81 62.6 26.33 64.24 26.86 63.14 27.38 62.41 27.9 61.76 28.42 60.15 28.94 59.51 29.47 59.43 29.99 57.05 30.51 57.31 31.03 58.76 31.56 60.04 32.08 59.29 32.6 56.95 33.12 58.64 33.65 58.8 34.17 60.04 34.69 61.19 35.21 60.49 35.74 58.06 36.26 59.33 36.78 59.15 37.3 60.03 37.83 57.9 38.35 60.9 38.87 60.47 39.39 61.8 39.91 62.99 40.44 62.59 40.96 62.85 41.48 61.37 42 60.8 42.53 60.36 43.05 61.74 43.57 59.57 44.09 63.47 44.62 65.21 45.14 64.53 45.66 61.4 46.18 60.13 46.71 58.91 47.23 57.72 47.75 55.68 48.27 54.24 48.8 52.75 49.32 51.15 49.84 51.7 50.36 51.13 50.88 50.26 51.41 50.58 51.93 49.94 52.45 49.43 52.97 47.26 53.5 47.63 54.02 43.28 54.54 41.73 55.06 38.71 55.59 36.85 56.11 38.83 56.63 40.76 57.15 40.38 57.68 38.32 58.2 40.53 58.72 41.71 59.24 45.53 59.77 44.75 60.29 42.69 60.81 43.54 61.33 47.48 61.85 46.26 62.38 49.17 62.9 51.72 63.42 51.08 63.94 48.32 64.47 49.22 64.99 46.99 65.51 45.37 66.03 44.84 66.56 49.23 67.08 49.47 67.6 48.5 68.12 48.55 68.65 50.2 69.17 52.04 69.69 48.28 70.21 49.14 70.74 47.87 71.26 44.77 71.78 45.94 72.3 46.46 72.82 48.27 73.35 45.57 73.87 44.73 74.39 44.69 74.91 41.97 75.44 42.75 75.96 42.73 76.48 42.15 77 42.15 77.53 42.06 78.05 42.3 78.57 42.05 79.09 38.58 79.62 37.43 80.14 37.45 80.66 37.58 81.18 37.02 81.71 37.77 82.23 34.18 82.75 34.92 83.27 34.3 83.79 31.3 84.32 30.74 84.84 31.04 85.36 33.45 85.88 37.48 86.41 40.9 86.93 38.85 87.45 40.71 87.97 39.53 88.5 37.84 89.02 35.57 89.54 34.28 90.06 32.61 90.59 31.25 91.11 31.69 91.63 30.35 92.15 28.63 92.67 32.02 93.2 31.58 93.72 31.03 94.24 30.32 94.76 33.63 95.29 37.51 95.81 38.21 96.33 38.63 96.85 39 97.38 38.02 97.9 39.92 98.42 41.11 98.94 41.89 99.47 40.85 99.99 39.33 100.51 36.48 101.03 37.12 101.56 33.6 102.08 33.78 102.6 30.27 103.12 29.93 103.64 26.12 104.17 26.05 104.69 24.24 105.21 25.87 105.73 27.08 106.26 25.68 106.78 28.93 107.3 28.27 107.82 29.74 108.35 29.07 108.87 27.61 109.39 28.83 109.91 27.94 110.44 24.59 110.96 21.98 111.48 23.57 112 22.27 112.53 23.76 113.05 24.49 113.57 24.01 114.09 27.19 114.61 29.62 115.14 30.47 115.66 31.48 116.18 34.04 116.7 29.61 117.23 29.29 117.75 31.04 118.27 29.64 118.79 32.69 119.32 33.45 119.84 35.26 120.36 36.97 120.88 36.6 121.41 37.29 121.93 39.06 122.45 38.48 122.97 39.26 123.5 39.98 124.02 38.69 124.54 38.15 125.06 37.06 125.58 39.61\" class=\"geometry color_\" stroke=\"#004D84\"/>\n",
|
||
" <path fill=\"none\" d=\"M21.63,61.39 L 22.15 61.55 22.68 59.53 23.2 62.63 23.72 61.1 24.24 60.87 24.77 63.38 25.29 63.77 25.81 65.57 26.33 63.22 26.86 63.73 27.38 63.29 27.9 60.76 28.42 60.09 28.94 60 29.47 58.56 29.99 59.7 30.51 59.73 31.03 57.99 31.56 58.25 32.08 60.02 32.6 63.02 33.12 63.52 33.65 64.28 34.17 63.56 34.69 65.89 35.21 65.14 35.74 64.68 36.26 61.26 36.78 60.1 37.3 58.77 37.83 58.54 38.35 59.44 38.87 61.08 39.39 59.79 39.91 59.06 40.44 59.77 40.96 58.28 41.48 60.23 42 59.88 42.53 55.28 43.05 58.62 43.57 58.51 44.09 58.98 44.62 56.77 45.14 54.9 45.66 55.78 46.18 55.1 46.71 56.55 47.23 58.27 47.75 56.82 48.27 56.24 48.8 54.06 49.32 56.41 49.84 55.68 50.36 58.5 50.88 57.87 51.41 58.81 51.93 59.87 52.45 61.56 52.97 65.32 53.5 65.49 54.02 65.91 54.54 67.73 55.06 66.87 55.59 67.38 56.11 64.09 56.63 63.02 57.15 63.89 57.68 62.49 58.2 61.84 58.72 63.22 59.24 62.02 59.77 62.72 60.29 62.27 60.81 62.55 61.33 58.97 61.85 57.07 62.38 60.9 62.9 61.93 63.42 61.82 63.94 61.85 64.47 61.73 64.99 62.68 65.51 64.04 66.03 61.26 66.56 62.96 67.08 64.38 67.6 65.88 68.12 66.68 68.65 68.22 69.17 67.78 69.69 69.38 70.21 70.75 70.74 72.39 71.26 70.94 71.78 72.08 72.3 72.27 72.82 73.58 73.35 73.74 73.87 72.35 74.39 72.22 74.91 74.12 75.44 75.3 75.96 74.87 76.48 75.32 77 74.8 77.53 74.11 78.05 74.5 78.57 69.69 79.09 72.14 79.62 69.69 80.14 69.75 80.66 69.51 81.18 71.33 81.71 73.9 82.23 72.82 82.75 70.59 83.27 71.59 83.79 71.58 84.32 71.71 84.84 69.86 85.36 70.05 85.88 69.15 86.41 72.2 86.93 69.53 87.45 70.69 87.97 70.15 88.5 69.51 89.02 67.76 89.54 67.41 90.06 67.64 90.59 67.5 91.11 68.27 91.63 68.42 92.15 68.23 92.67 68.39 93.2 68.47 93.72 69.07 94.24 71.95 94.76 74.34 95.29 75.63 95.81 74.08 96.33 71.92 96.85 71.36 97.38 71.17 97.9 68.55 98.42 70.43 98.94 71.01 99.47 70.5 99.99 69.72 100.51 69.93 101.03 66.34 101.56 64.29 102.08 67.1 102.6 68.99 103.12 70.73 103.64 67.44 104.17 68.72 104.69 71.08 105.21 70.44 105.73 71.41 106.26 69.46 106.78 67.03 107.3 66.86 107.82 68.11 108.35 67.18 108.87 67.67 109.39 66.77 109.91 67.01 110.44 65.42 110.96 66.32 111.48 68.51 112 68.31 112.53 66.43 113.05 67.65 113.57 68.46 114.09 67.9 114.61 69.27 115.14 65.25 115.66 63.92 116.18 63.66 116.7 62.69 117.23 62.57 117.75 63.19 118.27 64.28 118.79 61.75 119.32 62.08 119.84 62.38 120.36 62.89 120.88 61.83 121.41 60.06 121.93 58.9 122.45 57.83 122.97 56.53 123.5 58.83 124.02 57.9 124.54 59.82 125.06 59.66 125.58 60.89\" class=\"geometry color_\" stroke=\"#7E273E\"/>\n",
|
||
" <path fill=\"none\" d=\"M21.63,61.39 L 22.15 62.01 22.68 62.12 23.2 64.62 23.72 64.89 24.24 60.83 24.77 58.38 25.29 57.87 25.81 59.4 26.33 59.29 26.86 58.42 27.38 58.88 27.9 61.48 28.42 61.57 28.94 63.47 29.47 63.35 29.99 64.6 30.51 66.75 31.03 67.31 31.56 66.27 32.08 66.88 32.6 66.7 33.12 68.45 33.65 68.23 34.17 69.78 34.69 70.71 35.21 68.96 35.74 71.3 36.26 71.51 36.78 72.6 37.3 71.53 37.83 68.39 38.35 67.9 38.87 68.04 39.39 66.79 39.91 65.4 40.44 66.69 40.96 66.18 41.48 65.4 42 63.44 42.53 61.3 43.05 63.19 43.57 61.69 44.09 58.24 44.62 57.65 45.14 56.99 45.66 58.92 46.18 58.42 46.71 57.78 47.23 56.04 47.75 55.47 48.27 53.63 48.8 50.38 49.32 50.16 49.84 47.49 50.36 46.04 50.88 45.37 51.41 45.88 51.93 46.2 52.45 48.8 52.97 46.81 53.5 47.41 54.02 44.95 54.54 42.2 55.06 40.28 55.59 40.95 56.11 41.25 56.63 42.26 57.15 45.49 57.68 49.57 58.2 51.75 58.72 51.28 59.24 50.92 59.77 50.58 60.29 49.25 60.81 48.75 61.33 50.04 61.85 51.83 62.38 56.12 62.9 58.24 63.42 53.76 63.94 48.49 64.47 49.53 64.99 48.91 65.51 47.5 66.03 44.98 66.56 45.34 67.08 45.47 67.6 47.09 68.12 45.28 68.65 46.64 69.17 46.73 69.69 47.31 70.21 41.61 70.74 40.78 71.26 39.14 71.78 38.12 72.3 38.34 72.82 38.18 73.35 38.73 73.87 38.42 74.39 38.55 74.91 38.09 75.44 37.59 75.96 37.78 76.48 35.41 77 31.8 77.53 33.17 78.05 33.1 78.57 31.68 79.09 33.07 79.62 34.53 80.14 34.08 80.66 33.6 81.18 32.97 81.71 32.22 82.23 32.64 82.75 35.43 83.27 36.8 83.79 37.78 84.32 39.79 84.84 40.84 85.36 40.79 85.88 37.93 86.41 34.02 86.93 33.81 87.45 34.55 87.97 32.24 88.5 29.77 89.02 29.49 89.54 34.31 90.06 34.92 90.59 36.37 91.11 33.74 91.63 37.64 92.15 36.01 92.67 39.21 93.2 39.67 93.72 38.94 94.24 41.03 94.76 42.02 95.29 41.38 95.81 40.65 96.33 41.11 96.85 42.33 97.38 41.38 97.9 39.81 98.42 37.69 98.94 38.54 99.47 35.99 99.99 35.41 100.51 38.56 101.03 38.77 101.56 40.05 102.08 42.32 102.6 43.14 103.12 43.52 103.64 46.7 104.17 45.1 104.69 43.26 105.21 42.06 105.73 45.01 106.26 44.86 106.78 43.66 107.3 43.57 107.82 43.53 108.35 44.76 108.87 44.65 109.39 46.06 109.91 44.57 110.44 49.26 110.96 49.18 111.48 51.74 112 51.36 112.53 52.06 113.05 55.72 113.57 57.48 114.09 59.83 114.61 61.84 115.14 63.48 115.66 63.61 116.18 62.01 116.7 62.46 117.23 62.32 117.75 63.34 118.27 61.52 118.79 61.6 119.32 59.09 119.84 61.22 120.36 62.07 120.88 62.68 121.41 64.73 121.93 65.46 122.45 63.95 122.97 63.8 123.5 65.66 124.02 63.97 124.54 62.93 125.06 62.62 125.58 59.34\" class=\"geometry color_\" stroke=\"#88C4C4\"/>\n",
|
||
" <path fill=\"none\" d=\"M21.63,61.39 L 22.15 61.13 22.68 60.81 23.2 62.02 23.72 62.26 24.24 60.5 24.77 57.82 25.29 56.74 25.81 56.51 26.33 58.2 26.86 60.28 27.38 61.78 27.9 58.53 28.42 57.05 28.94 57.46 29.47 56.25 29.99 55.53 30.51 56.65 31.03 57.59 31.56 54.25 32.08 55.32 32.6 56.21 33.12 59.52 33.65 59.2 34.17 60.8 34.69 62.11 35.21 62.65 35.74 63.18 36.26 65.53 36.78 62.71 37.3 61.28 37.83 62.17 38.35 64.09 38.87 65.57 39.39 68.22 39.91 69.83 40.44 71.7 40.96 72.83 41.48 72.38 42 73.06 42.53 75.36 43.05 74.31 43.57 72.7 44.09 72.32 44.62 72.66 45.14 71.6 45.66 70.6 46.18 71.62 46.71 70.85 47.23 71.92 47.75 72.63 48.27 70.05 48.8 70.08 49.32 66.73 49.84 67.47 50.36 66.88 50.88 69.37 51.41 68.11 51.93 68.23 52.45 68.51 52.97 68.65 53.5 68.56 54.02 70.73 54.54 69.14 55.06 69.57 55.59 69.92 56.11 72.37 56.63 73.95 57.15 73.32 57.68 73.92 58.2 73.39 58.72 73.43 59.24 73.68 59.77 74.47 60.29 72.03 60.81 72.45 61.33 73.14 61.85 73.15 62.38 71.74 62.9 69.85 63.42 70.7 63.94 71.26 64.47 72.88 64.99 74.1 65.51 70.79 66.03 70.7 66.56 70.99 67.08 70.58 67.6 69.57 68.12 68.88 68.65 70.25 69.17 68.44 69.69 66.43 70.21 66.82 70.74 67.93 71.26 66.66 71.78 68.22 72.3 67.71 72.82 70.26 73.35 69.76 73.87 70.48 74.39 68.83 74.91 69.78 75.44 69.89 75.96 73.59 76.48 67.68 77 68.15 77.53 64.77 78.05 62.61 78.57 63.48 79.09 64.13 79.62 63.34 80.14 64.97 80.66 66.9 81.18 67.84 81.71 65.25 82.23 65.96 82.75 68.01 83.27 67.94 83.79 67.69 84.32 67.66 84.84 65.74 85.36 66.5 85.88 66.92 86.41 66.41 86.93 68.51 87.45 71.01 87.97 71.21 88.5 72.5 89.02 73.18 89.54 70.08 90.06 72.06 90.59 74.8 91.11 74.42 91.63 75.56 92.15 73.31 92.67 74.09 93.2 75.35 93.72 74.34 94.24 77.32 94.76 74.76 95.29 72.97 95.81 71.55 96.33 72.98 96.85 75.64 97.38 75.6 97.9 76.73 98.42 74.28 98.94 73.56 99.47 73.22 99.99 74.74 100.51 74.37 101.03 73.72 101.56 75.73 102.08 76.29 102.6 75.49 103.12 74.57 103.64 76.28 104.17 75.11 104.69 74.66 105.21 77.83 105.73 80.01 106.26 78.94 106.78 80.86 107.3 81.08 107.82 80.19 108.35 77.17 108.87 79.12 109.39 82.08 109.91 80.5 110.44 78.48 110.96 77.93 111.48 77.62 112 77.35 112.53 78.06 113.05 78 113.57 78.5 114.09 77.21 114.61 78.04 115.14 78.9 115.66 78.49 116.18 78.9 116.7 76.42 117.23 75.58 117.75 76.93 118.27 75.55 118.79 72.22 119.32 71.57 119.84 70.44 120.36 70.09 120.88 73.61 121.41 72.94 121.93 70.79 122.45 73.21 122.97 75.36 123.5 75.87 124.02 78.45 124.54 78.19 125.06 79.03 125.58 75.53\" class=\"geometry color_\" stroke=\"#BECAB9\"/>\n",
|
||
" <path fill=\"none\" d=\"M21.63,61.39 L 22.15 62.55 22.68 62.37 23.2 63.25 23.72 63.25 24.24 64.02 24.77 65.99 25.29 69.66 25.81 71.24 26.33 70.93 26.86 70.19 27.38 71.55 27.9 73.13 28.42 70.7 28.94 73.34 29.47 72.47 29.99 71.56 30.51 71.95 31.03 71.63 31.56 71.16 32.08 73.57 32.6 73.55 33.12 76.27 33.65 73.77 34.17 73.68 34.69 73.68 35.21 76.32 35.74 78.54 36.26 78.59 36.78 78.96 37.3 79.49 37.83 81.13 38.35 81.3 38.87 81.14 39.39 82.98 39.91 80.8 40.44 80.57 40.96 79.64 41.48 81.32 42 78.97 42.53 79.94 43.05 82.18 43.57 81.76 44.09 80.36 44.62 79.69 45.14 78.74 45.66 76.71 46.18 74.35 46.71 73.54 47.23 75.11 47.75 75.3 48.27 72.13 48.8 71.57 49.32 73.81 49.84 70.57 50.36 70.7 50.88 69.51 51.41 67.7 51.93 68.7 52.45 68.49 52.97 67.36 53.5 68.38 54.02 68.57 54.54 69.48 55.06 67.24 55.59 67.91 56.11 68.49 56.63 69.85 57.15 70.98 57.68 72.27 58.2 72.59 58.72 72.89 59.24 71.74 59.77 74.72 60.29 75.85 60.81 76.74 61.33 76.47 61.85 78.94 62.38 80.68 62.9 79.33 63.42 79.29 63.94 80.75 64.47 78.89 64.99 75.99 65.51 76.3 66.03 75.83 66.56 74.26 67.08 73.28 67.6 73.07 68.12 76.32 68.65 79.61 69.17 78.24 69.69 79.84 70.21 78.28 70.74 79.19 71.26 80.4 71.78 82.76 72.3 81.01 72.82 78.82 73.35 80.8 73.87 79.4 74.39 79.97 74.91 79.62 75.44 78.4 75.96 80.89 76.48 80.82 77 80.98 77.53 78.76 78.05 78.89 78.57 78.74 79.09 78.77 79.62 79.58 80.14 80.03 80.66 79.16 81.18 78.87 81.71 77.29 82.23 79.92 82.75 80.48 83.27 76.93 83.79 74.47 84.32 75.54 84.84 73.87 85.36 72.13 85.88 69.8 86.41 70.82 86.93 71.83 87.45 73.26 87.97 72.86 88.5 74.19 89.02 72.37 89.54 70.28 90.06 70.37 90.59 71.36 91.11 69.93 91.63 67.03 92.15 69.87 92.67 66.08 93.2 65.76 93.72 65.11 94.24 65.89 94.76 66.82 95.29 67.4 95.81 66.67 96.33 65.37 96.85 66.11 97.38 66.54 97.9 68.48 98.42 69.86 98.94 66.92 99.47 66.68 99.99 68.42 100.51 71.29 101.03 69.59 101.56 67.99 102.08 67.6 102.6 68.79 103.12 68.83 103.64 72.71 104.17 69.46 104.69 68.62 105.21 64.75 105.73 66.78 106.26 64.76 106.78 67.81 107.3 70.4 107.82 70.97 108.35 72.14 108.87 72.67 109.39 72.77 109.91 74.44 110.44 75.67 110.96 77.33 111.48 76.89 112 75.27 112.53 73.3 113.05 75.32 113.57 74.37 114.09 76.24 114.61 75.89 115.14 72.65 115.66 72.29 116.18 70.49 116.7 71.87 117.23 69.1 117.75 70.16 118.27 66.35 118.79 65.95 119.32 67.92 119.84 67.88 120.36 68.62 120.88 69.89 121.41 68.68 121.93 65.93 122.45 64.6 122.97 64.63 123.5 64.11 124.02 65.81 124.54 63.74 125.06 61.66 125.58 61.11\" class=\"geometry color_\" stroke=\"#D2B497\"/>\n",
|
||
" </g>\n",
|
||
" </g>\n",
|
||
" </g>\n",
|
||
" <g class=\"guide ylabels\" font-size=\"2.82\" font-family=\"'PT Sans Caption','Helvetica Neue','Helvetica',sans-serif\" fill=\"#6C606B\" id=\"fig-5f2bef255c9640798a762cea30b280d2-element-15\">\n",
|
||
" <text x=\"18.63\" y=\"83.39\" text-anchor=\"end\" dy=\"0.35em\">95</text>\n",
|
||
" <text x=\"18.63\" y=\"68.11\" text-anchor=\"end\" dy=\"0.35em\">100</text>\n",
|
||
" <text x=\"18.63\" y=\"52.83\" text-anchor=\"end\" dy=\"0.35em\">105</text>\n",
|
||
" <text x=\"18.63\" y=\"37.56\" text-anchor=\"end\" dy=\"0.35em\">110</text>\n",
|
||
" <text x=\"18.63\" y=\"22.28\" text-anchor=\"end\" dy=\"0.35em\">115</text>\n",
|
||
" <text x=\"18.63\" y=\"7\" text-anchor=\"end\" dy=\"0.35em\">120</text>\n",
|
||
" </g>\n",
|
||
" <g font-size=\"3.88\" font-family=\"'PT Sans','Helvetica Neue','Helvetica',sans-serif\" fill=\"#564A55\" stroke=\"#000000\" stroke-opacity=\"0.000\" id=\"fig-5f2bef255c9640798a762cea30b280d2-element-16\">\n",
|
||
" <text x=\"8.81\" y=\"43.19\" text-anchor=\"middle\" dy=\"0.35em\" transform=\"rotate(-90, 8.81, 45.19)\">Value</text>\n",
|
||
" </g>\n",
|
||
"</g>\n",
|
||
"<defs>\n",
|
||
"<clipPath id=\"fig-5f2bef255c9640798a762cea30b280d2-element-9\">\n",
|
||
" <path d=\"M19.63,5 L 127.58 5 127.58 85.39 19.63 85.39\" />\n",
|
||
"</clipPath\n",
|
||
"></defs>\n",
|
||
"</svg>\n"
|
||
],
|
||
"text/html": [
|
||
"<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n",
|
||
"<svg xmlns=\"http://www.w3.org/2000/svg\"\n",
|
||
" xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
|
||
" xmlns:gadfly=\"http://www.gadflyjl.org/ns\"\n",
|
||
" version=\"1.2\"\n",
|
||
" width=\"141.42mm\" height=\"100mm\" viewBox=\"0 0 141.42 100\"\n",
|
||
" stroke=\"none\"\n",
|
||
" fill=\"#000000\"\n",
|
||
" stroke-width=\"0.3\"\n",
|
||
" font-size=\"3.88\"\n",
|
||
"\n",
|
||
" id=\"fig-3a6dd25ad25c4037a166889ee51bb151\">\n",
|
||
"<g class=\"plotroot xscalable yscalable\" id=\"fig-3a6dd25ad25c4037a166889ee51bb151-element-1\">\n",
|
||
" <g font-size=\"3.88\" font-family=\"'PT Sans','Helvetica Neue','Helvetica',sans-serif\" fill=\"#564A55\" stroke=\"#000000\" stroke-opacity=\"0.000\" id=\"fig-3a6dd25ad25c4037a166889ee51bb151-element-2\">\n",
|
||
" <text x=\"73.61\" y=\"88.39\" text-anchor=\"middle\" dy=\"0.6em\">Months</text>\n",
|
||
" </g>\n",
|
||
" <g class=\"guide colorkey\" id=\"fig-3a6dd25ad25c4037a166889ee51bb151-element-3\">\n",
|
||
" <g font-size=\"2.82\" font-family=\"'PT Sans','Helvetica Neue','Helvetica',sans-serif\" fill=\"#4C404B\" id=\"fig-3a6dd25ad25c4037a166889ee51bb151-element-4\">\n",
|
||
" <text x=\"131.9\" y=\"66.46\" dy=\"0.35em\">1</text>\n",
|
||
" <text x=\"131.9\" y=\"39.15\" dy=\"0.35em\">5</text>\n",
|
||
" <text x=\"131.9\" y=\"59.63\" dy=\"0.35em\">2</text>\n",
|
||
" <text x=\"131.9\" y=\"52.81\" dy=\"0.35em\">3</text>\n",
|
||
" <text x=\"131.9\" y=\"45.98\" dy=\"0.35em\">4</text>\n",
|
||
" </g>\n",
|
||
" <g shape-rendering=\"crispEdges\" stroke=\"#000000\" stroke-opacity=\"0.000\" id=\"fig-3a6dd25ad25c4037a166889ee51bb151-element-5\">\n",
|
||
" <rect x=\"129.58\" y=\"65.78\" width=\"1.31\" height=\"0.68\" fill=\"#004D84\"/>\n",
|
||
" <rect x=\"129.58\" y=\"65.1\" width=\"1.31\" height=\"0.68\" fill=\"#005B8D\"/>\n",
|
||
" <rect x=\"129.58\" y=\"64.41\" width=\"1.31\" height=\"0.68\" fill=\"#006995\"/>\n",
|
||
" <rect x=\"129.58\" y=\"63.73\" width=\"1.31\" height=\"0.68\" fill=\"#00769D\"/>\n",
|
||
" <rect x=\"129.58\" y=\"63.05\" width=\"1.31\" height=\"0.68\" fill=\"#0083A3\"/>\n",
|
||
" <rect x=\"129.58\" y=\"62.36\" width=\"1.31\" height=\"0.68\" fill=\"#278FA9\"/>\n",
|
||
" <rect x=\"129.58\" y=\"61.68\" width=\"1.31\" height=\"0.68\" fill=\"#409BAF\"/>\n",
|
||
" <rect x=\"129.58\" y=\"61\" width=\"1.31\" height=\"0.68\" fill=\"#55A7B5\"/>\n",
|
||
" <rect x=\"129.58\" y=\"60.32\" width=\"1.31\" height=\"0.68\" fill=\"#69B2BA\"/>\n",
|
||
" <rect x=\"129.58\" y=\"59.63\" width=\"1.31\" height=\"0.68\" fill=\"#7BBCC0\"/>\n",
|
||
" <rect x=\"129.58\" y=\"58.95\" width=\"1.31\" height=\"0.68\" fill=\"#8DC6C5\"/>\n",
|
||
" <rect x=\"129.58\" y=\"58.27\" width=\"1.31\" height=\"0.68\" fill=\"#9ED0CB\"/>\n",
|
||
" <rect x=\"129.58\" y=\"57.59\" width=\"1.31\" height=\"0.68\" fill=\"#A5CFC7\"/>\n",
|
||
" <rect x=\"129.58\" y=\"56.9\" width=\"1.31\" height=\"0.68\" fill=\"#ABCEC4\"/>\n",
|
||
" <rect x=\"129.58\" y=\"56.22\" width=\"1.31\" height=\"0.68\" fill=\"#B1CCC2\"/>\n",
|
||
" <rect x=\"129.58\" y=\"55.54\" width=\"1.31\" height=\"0.68\" fill=\"#B5CCC1\"/>\n",
|
||
" <rect x=\"129.58\" y=\"54.85\" width=\"1.31\" height=\"0.68\" fill=\"#B7CBBF\"/>\n",
|
||
" <rect x=\"129.58\" y=\"54.17\" width=\"1.31\" height=\"0.68\" fill=\"#B9CBBD\"/>\n",
|
||
" <rect x=\"129.58\" y=\"53.49\" width=\"1.31\" height=\"0.68\" fill=\"#BBCBBB\"/>\n",
|
||
" <rect x=\"129.58\" y=\"52.81\" width=\"1.31\" height=\"0.68\" fill=\"#BDCABA\"/>\n",
|
||
" <rect x=\"129.58\" y=\"52.12\" width=\"1.31\" height=\"0.68\" fill=\"#BFCAB8\"/>\n",
|
||
" <rect x=\"129.58\" y=\"51.44\" width=\"1.31\" height=\"0.68\" fill=\"#C2C9B7\"/>\n",
|
||
" <rect x=\"129.58\" y=\"50.76\" width=\"1.31\" height=\"0.68\" fill=\"#C4C9B6\"/>\n",
|
||
" <rect x=\"129.58\" y=\"50.07\" width=\"1.31\" height=\"0.68\" fill=\"#C6C8B5\"/>\n",
|
||
" <rect x=\"129.58\" y=\"49.39\" width=\"1.31\" height=\"0.68\" fill=\"#C9C7B4\"/>\n",
|
||
" <rect x=\"129.58\" y=\"48.71\" width=\"1.31\" height=\"0.68\" fill=\"#CCC7B2\"/>\n",
|
||
" <rect x=\"129.58\" y=\"48.03\" width=\"1.31\" height=\"0.68\" fill=\"#CFC6AE\"/>\n",
|
||
" <rect x=\"129.58\" y=\"47.34\" width=\"1.31\" height=\"0.68\" fill=\"#D4C5AA\"/>\n",
|
||
" <rect x=\"129.58\" y=\"46.66\" width=\"1.31\" height=\"0.68\" fill=\"#D8C3A6\"/>\n",
|
||
" <rect x=\"129.58\" y=\"45.98\" width=\"1.31\" height=\"0.68\" fill=\"#D3B79A\"/>\n",
|
||
" <rect x=\"129.58\" y=\"45.3\" width=\"1.31\" height=\"0.68\" fill=\"#CDAB8E\"/>\n",
|
||
" <rect x=\"129.58\" y=\"44.61\" width=\"1.31\" height=\"0.68\" fill=\"#C89E82\"/>\n",
|
||
" <rect x=\"129.58\" y=\"43.93\" width=\"1.31\" height=\"0.68\" fill=\"#C19177\"/>\n",
|
||
" <rect x=\"129.58\" y=\"43.25\" width=\"1.31\" height=\"0.68\" fill=\"#BA836C\"/>\n",
|
||
" <rect x=\"129.58\" y=\"42.56\" width=\"1.31\" height=\"0.68\" fill=\"#B27563\"/>\n",
|
||
" <rect x=\"129.58\" y=\"41.88\" width=\"1.31\" height=\"0.68\" fill=\"#AA665A\"/>\n",
|
||
" <rect x=\"129.58\" y=\"41.2\" width=\"1.31\" height=\"0.68\" fill=\"#A05752\"/>\n",
|
||
" <rect x=\"129.58\" y=\"40.52\" width=\"1.31\" height=\"0.68\" fill=\"#96484A\"/>\n",
|
||
" <rect x=\"129.58\" y=\"39.83\" width=\"1.31\" height=\"0.68\" fill=\"#8B3844\"/>\n",
|
||
" <rect x=\"129.58\" y=\"39.15\" width=\"1.31\" height=\"0.68\" fill=\"#7E273E\"/>\n",
|
||
" <g stroke=\"#FFFFFF\" stroke-width=\"0.2\" id=\"fig-3a6dd25ad25c4037a166889ee51bb151-element-6\">\n",
|
||
" <path fill=\"none\" d=\"M129.58,66.46 L 130.9 66.46\"/>\n",
|
||
" <path fill=\"none\" d=\"M129.58,39.15 L 130.9 39.15\"/>\n",
|
||
" <path fill=\"none\" d=\"M129.58,59.63 L 130.9 59.63\"/>\n",
|
||
" <path fill=\"none\" d=\"M129.58,52.81 L 130.9 52.81\"/>\n",
|
||
" <path fill=\"none\" d=\"M129.58,45.98 L 130.9 45.98\"/>\n",
|
||
" </g>\n",
|
||
" </g>\n",
|
||
" <g fill=\"#362A35\" font-size=\"3.88\" font-family=\"'PT Sans','Helvetica Neue','Helvetica',sans-serif\" stroke=\"#000000\" stroke-opacity=\"0.000\" id=\"fig-3a6dd25ad25c4037a166889ee51bb151-element-7\">\n",
|
||
" <text x=\"129.58\" y=\"35.15\">Color</text>\n",
|
||
" </g>\n",
|
||
" </g>\n",
|
||
" <g clip-path=\"url(#fig-3a6dd25ad25c4037a166889ee51bb151-element-9)\" id=\"fig-3a6dd25ad25c4037a166889ee51bb151-element-8\">\n",
|
||
" <g pointer-events=\"visible\" opacity=\"1\" fill=\"#000000\" fill-opacity=\"0.000\" stroke=\"#000000\" stroke-opacity=\"0.000\" class=\"guide background\" id=\"fig-3a6dd25ad25c4037a166889ee51bb151-element-10\">\n",
|
||
" <rect x=\"19.63\" y=\"5\" width=\"107.95\" height=\"80.39\"/>\n",
|
||
" </g>\n",
|
||
" <g class=\"guide ygridlines xfixed\" stroke-dasharray=\"0.5,0.5\" stroke-width=\"0.2\" stroke=\"#D0D0E0\" id=\"fig-3a6dd25ad25c4037a166889ee51bb151-element-11\">\n",
|
||
" <path fill=\"none\" d=\"M19.63,175.05 L 127.58 175.05\" visibility=\"hidden\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,159.78 L 127.58 159.78\" visibility=\"hidden\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,144.5 L 127.58 144.5\" visibility=\"hidden\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,129.22 L 127.58 129.22\" visibility=\"hidden\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,113.94 L 127.58 113.94\" visibility=\"hidden\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,98.67 L 127.58 98.67\" visibility=\"hidden\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,83.39 L 127.58 83.39\" visibility=\"visible\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,68.11 L 127.58 68.11\" visibility=\"visible\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,52.83 L 127.58 52.83\" visibility=\"visible\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,37.56 L 127.58 37.56\" visibility=\"visible\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,22.28 L 127.58 22.28\" visibility=\"visible\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,7 L 127.58 7\" visibility=\"visible\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-8.28 L 127.58 -8.28\" visibility=\"hidden\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-23.56 L 127.58 -23.56\" visibility=\"hidden\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-38.83 L 127.58 -38.83\" visibility=\"hidden\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-54.11 L 127.58 -54.11\" visibility=\"hidden\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-69.39 L 127.58 -69.39\" visibility=\"hidden\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-84.67 L 127.58 -84.67\" visibility=\"hidden\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,159.78 L 127.58 159.78\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,156.72 L 127.58 156.72\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,153.67 L 127.58 153.67\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,150.61 L 127.58 150.61\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,147.55 L 127.58 147.55\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,144.5 L 127.58 144.5\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,141.44 L 127.58 141.44\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,138.39 L 127.58 138.39\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,135.33 L 127.58 135.33\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,132.28 L 127.58 132.28\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,129.22 L 127.58 129.22\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,126.17 L 127.58 126.17\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,123.11 L 127.58 123.11\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,120.05 L 127.58 120.05\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,117 L 127.58 117\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,113.94 L 127.58 113.94\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,110.89 L 127.58 110.89\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,107.83 L 127.58 107.83\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,104.78 L 127.58 104.78\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,101.72 L 127.58 101.72\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,98.67 L 127.58 98.67\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,95.61 L 127.58 95.61\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,92.55 L 127.58 92.55\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,89.5 L 127.58 89.5\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,86.44 L 127.58 86.44\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,83.39 L 127.58 83.39\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,80.33 L 127.58 80.33\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,77.28 L 127.58 77.28\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,74.22 L 127.58 74.22\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,71.17 L 127.58 71.17\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,68.11 L 127.58 68.11\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,65.06 L 127.58 65.06\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,62 L 127.58 62\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,58.94 L 127.58 58.94\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,55.89 L 127.58 55.89\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,52.83 L 127.58 52.83\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,49.78 L 127.58 49.78\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,46.72 L 127.58 46.72\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,43.67 L 127.58 43.67\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,40.61 L 127.58 40.61\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,37.56 L 127.58 37.56\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,34.5 L 127.58 34.5\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,31.44 L 127.58 31.44\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,28.39 L 127.58 28.39\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,25.33 L 127.58 25.33\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,22.28 L 127.58 22.28\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,19.22 L 127.58 19.22\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,16.17 L 127.58 16.17\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,13.11 L 127.58 13.11\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,10.06 L 127.58 10.06\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,7 L 127.58 7\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,3.94 L 127.58 3.94\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,0.89 L 127.58 0.89\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-2.17 L 127.58 -2.17\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-5.22 L 127.58 -5.22\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-8.28 L 127.58 -8.28\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-11.33 L 127.58 -11.33\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-14.39 L 127.58 -14.39\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-17.44 L 127.58 -17.44\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-20.5 L 127.58 -20.5\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-23.56 L 127.58 -23.56\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-26.61 L 127.58 -26.61\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-29.67 L 127.58 -29.67\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-32.72 L 127.58 -32.72\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-35.78 L 127.58 -35.78\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-38.83 L 127.58 -38.83\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-41.89 L 127.58 -41.89\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-44.94 L 127.58 -44.94\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-48 L 127.58 -48\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-51.06 L 127.58 -51.06\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-54.11 L 127.58 -54.11\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-57.17 L 127.58 -57.17\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-60.22 L 127.58 -60.22\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-63.28 L 127.58 -63.28\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-66.33 L 127.58 -66.33\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-69.39 L 127.58 -69.39\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,220.89 L 127.58 220.89\" visibility=\"hidden\" gadfly:scale=\"0.5\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,68.11 L 127.58 68.11\" visibility=\"hidden\" gadfly:scale=\"0.5\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-84.67 L 127.58 -84.67\" visibility=\"hidden\" gadfly:scale=\"0.5\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,159.78 L 127.58 159.78\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,153.67 L 127.58 153.67\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,147.55 L 127.58 147.55\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,141.44 L 127.58 141.44\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,135.33 L 127.58 135.33\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,129.22 L 127.58 129.22\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,123.11 L 127.58 123.11\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,117 L 127.58 117\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,110.89 L 127.58 110.89\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,104.78 L 127.58 104.78\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,98.67 L 127.58 98.67\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,92.55 L 127.58 92.55\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,86.44 L 127.58 86.44\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,80.33 L 127.58 80.33\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,74.22 L 127.58 74.22\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,68.11 L 127.58 68.11\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,62 L 127.58 62\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,55.89 L 127.58 55.89\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,49.78 L 127.58 49.78\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,43.67 L 127.58 43.67\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,37.56 L 127.58 37.56\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,31.44 L 127.58 31.44\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,25.33 L 127.58 25.33\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,19.22 L 127.58 19.22\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,13.11 L 127.58 13.11\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,7 L 127.58 7\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,0.89 L 127.58 0.89\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-5.22 L 127.58 -5.22\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-11.33 L 127.58 -11.33\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-17.44 L 127.58 -17.44\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-23.56 L 127.58 -23.56\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-29.67 L 127.58 -29.67\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-35.78 L 127.58 -35.78\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-41.89 L 127.58 -41.89\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-48 L 127.58 -48\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-54.11 L 127.58 -54.11\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-60.22 L 127.58 -60.22\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-66.33 L 127.58 -66.33\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-72.44 L 127.58 -72.44\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" </g>\n",
|
||
" <g class=\"guide xgridlines yfixed\" stroke-dasharray=\"0.5,0.5\" stroke-width=\"0.2\" stroke=\"#D0D0E0\" id=\"fig-3a6dd25ad25c4037a166889ee51bb151-element-12\">\n",
|
||
" <path fill=\"none\" d=\"M55.93,5 L 55.93 85.39\" visibility=\"visible\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M90.76,5 L 90.76 85.39\" visibility=\"visible\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M125.58,5 L 125.58 85.39\" visibility=\"visible\" gadfly:scale=\"1.0\"/>\n",
|
||
" </g>\n",
|
||
" <g class=\"plotpanel\" id=\"fig-3a6dd25ad25c4037a166889ee51bb151-element-13\">\n",
|
||
" <g stroke-width=\"0.3\" fill=\"#000000\" fill-opacity=\"0.000\" stroke-dasharray=\"none\" id=\"fig-3a6dd25ad25c4037a166889ee51bb151-element-14\">\n",
|
||
" <path fill=\"none\" d=\"M21.63,61.39 L 22.15 63.01 22.68 64.88 23.2 65.75 23.72 65.53 24.24 66.19 24.77 65.44 25.29 64.6 25.81 62.6 26.33 64.24 26.86 63.14 27.38 62.41 27.9 61.76 28.42 60.15 28.94 59.51 29.47 59.43 29.99 57.05 30.51 57.31 31.03 58.76 31.56 60.04 32.08 59.29 32.6 56.95 33.12 58.64 33.65 58.8 34.17 60.04 34.69 61.19 35.21 60.49 35.74 58.06 36.26 59.33 36.78 59.15 37.3 60.03 37.83 57.9 38.35 60.9 38.87 60.47 39.39 61.8 39.91 62.99 40.44 62.59 40.96 62.85 41.48 61.37 42 60.8 42.53 60.36 43.05 61.74 43.57 59.57 44.09 63.47 44.62 65.21 45.14 64.53 45.66 61.4 46.18 60.13 46.71 58.91 47.23 57.72 47.75 55.68 48.27 54.24 48.8 52.75 49.32 51.15 49.84 51.7 50.36 51.13 50.88 50.26 51.41 50.58 51.93 49.94 52.45 49.43 52.97 47.26 53.5 47.63 54.02 43.28 54.54 41.73 55.06 38.71 55.59 36.85 56.11 38.83 56.63 40.76 57.15 40.38 57.68 38.32 58.2 40.53 58.72 41.71 59.24 45.53 59.77 44.75 60.29 42.69 60.81 43.54 61.33 47.48 61.85 46.26 62.38 49.17 62.9 51.72 63.42 51.08 63.94 48.32 64.47 49.22 64.99 46.99 65.51 45.37 66.03 44.84 66.56 49.23 67.08 49.47 67.6 48.5 68.12 48.55 68.65 50.2 69.17 52.04 69.69 48.28 70.21 49.14 70.74 47.87 71.26 44.77 71.78 45.94 72.3 46.46 72.82 48.27 73.35 45.57 73.87 44.73 74.39 44.69 74.91 41.97 75.44 42.75 75.96 42.73 76.48 42.15 77 42.15 77.53 42.06 78.05 42.3 78.57 42.05 79.09 38.58 79.62 37.43 80.14 37.45 80.66 37.58 81.18 37.02 81.71 37.77 82.23 34.18 82.75 34.92 83.27 34.3 83.79 31.3 84.32 30.74 84.84 31.04 85.36 33.45 85.88 37.48 86.41 40.9 86.93 38.85 87.45 40.71 87.97 39.53 88.5 37.84 89.02 35.57 89.54 34.28 90.06 32.61 90.59 31.25 91.11 31.69 91.63 30.35 92.15 28.63 92.67 32.02 93.2 31.58 93.72 31.03 94.24 30.32 94.76 33.63 95.29 37.51 95.81 38.21 96.33 38.63 96.85 39 97.38 38.02 97.9 39.92 98.42 41.11 98.94 41.89 99.47 40.85 99.99 39.33 100.51 36.48 101.03 37.12 101.56 33.6 102.08 33.78 102.6 30.27 103.12 29.93 103.64 26.12 104.17 26.05 104.69 24.24 105.21 25.87 105.73 27.08 106.26 25.68 106.78 28.93 107.3 28.27 107.82 29.74 108.35 29.07 108.87 27.61 109.39 28.83 109.91 27.94 110.44 24.59 110.96 21.98 111.48 23.57 112 22.27 112.53 23.76 113.05 24.49 113.57 24.01 114.09 27.19 114.61 29.62 115.14 30.47 115.66 31.48 116.18 34.04 116.7 29.61 117.23 29.29 117.75 31.04 118.27 29.64 118.79 32.69 119.32 33.45 119.84 35.26 120.36 36.97 120.88 36.6 121.41 37.29 121.93 39.06 122.45 38.48 122.97 39.26 123.5 39.98 124.02 38.69 124.54 38.15 125.06 37.06 125.58 39.61\" class=\"geometry color_\" stroke=\"#004D84\"/>\n",
|
||
" <path fill=\"none\" d=\"M21.63,61.39 L 22.15 61.55 22.68 59.53 23.2 62.63 23.72 61.1 24.24 60.87 24.77 63.38 25.29 63.77 25.81 65.57 26.33 63.22 26.86 63.73 27.38 63.29 27.9 60.76 28.42 60.09 28.94 60 29.47 58.56 29.99 59.7 30.51 59.73 31.03 57.99 31.56 58.25 32.08 60.02 32.6 63.02 33.12 63.52 33.65 64.28 34.17 63.56 34.69 65.89 35.21 65.14 35.74 64.68 36.26 61.26 36.78 60.1 37.3 58.77 37.83 58.54 38.35 59.44 38.87 61.08 39.39 59.79 39.91 59.06 40.44 59.77 40.96 58.28 41.48 60.23 42 59.88 42.53 55.28 43.05 58.62 43.57 58.51 44.09 58.98 44.62 56.77 45.14 54.9 45.66 55.78 46.18 55.1 46.71 56.55 47.23 58.27 47.75 56.82 48.27 56.24 48.8 54.06 49.32 56.41 49.84 55.68 50.36 58.5 50.88 57.87 51.41 58.81 51.93 59.87 52.45 61.56 52.97 65.32 53.5 65.49 54.02 65.91 54.54 67.73 55.06 66.87 55.59 67.38 56.11 64.09 56.63 63.02 57.15 63.89 57.68 62.49 58.2 61.84 58.72 63.22 59.24 62.02 59.77 62.72 60.29 62.27 60.81 62.55 61.33 58.97 61.85 57.07 62.38 60.9 62.9 61.93 63.42 61.82 63.94 61.85 64.47 61.73 64.99 62.68 65.51 64.04 66.03 61.26 66.56 62.96 67.08 64.38 67.6 65.88 68.12 66.68 68.65 68.22 69.17 67.78 69.69 69.38 70.21 70.75 70.74 72.39 71.26 70.94 71.78 72.08 72.3 72.27 72.82 73.58 73.35 73.74 73.87 72.35 74.39 72.22 74.91 74.12 75.44 75.3 75.96 74.87 76.48 75.32 77 74.8 77.53 74.11 78.05 74.5 78.57 69.69 79.09 72.14 79.62 69.69 80.14 69.75 80.66 69.51 81.18 71.33 81.71 73.9 82.23 72.82 82.75 70.59 83.27 71.59 83.79 71.58 84.32 71.71 84.84 69.86 85.36 70.05 85.88 69.15 86.41 72.2 86.93 69.53 87.45 70.69 87.97 70.15 88.5 69.51 89.02 67.76 89.54 67.41 90.06 67.64 90.59 67.5 91.11 68.27 91.63 68.42 92.15 68.23 92.67 68.39 93.2 68.47 93.72 69.07 94.24 71.95 94.76 74.34 95.29 75.63 95.81 74.08 96.33 71.92 96.85 71.36 97.38 71.17 97.9 68.55 98.42 70.43 98.94 71.01 99.47 70.5 99.99 69.72 100.51 69.93 101.03 66.34 101.56 64.29 102.08 67.1 102.6 68.99 103.12 70.73 103.64 67.44 104.17 68.72 104.69 71.08 105.21 70.44 105.73 71.41 106.26 69.46 106.78 67.03 107.3 66.86 107.82 68.11 108.35 67.18 108.87 67.67 109.39 66.77 109.91 67.01 110.44 65.42 110.96 66.32 111.48 68.51 112 68.31 112.53 66.43 113.05 67.65 113.57 68.46 114.09 67.9 114.61 69.27 115.14 65.25 115.66 63.92 116.18 63.66 116.7 62.69 117.23 62.57 117.75 63.19 118.27 64.28 118.79 61.75 119.32 62.08 119.84 62.38 120.36 62.89 120.88 61.83 121.41 60.06 121.93 58.9 122.45 57.83 122.97 56.53 123.5 58.83 124.02 57.9 124.54 59.82 125.06 59.66 125.58 60.89\" class=\"geometry color_\" stroke=\"#7E273E\"/>\n",
|
||
" <path fill=\"none\" d=\"M21.63,61.39 L 22.15 62.01 22.68 62.12 23.2 64.62 23.72 64.89 24.24 60.83 24.77 58.38 25.29 57.87 25.81 59.4 26.33 59.29 26.86 58.42 27.38 58.88 27.9 61.48 28.42 61.57 28.94 63.47 29.47 63.35 29.99 64.6 30.51 66.75 31.03 67.31 31.56 66.27 32.08 66.88 32.6 66.7 33.12 68.45 33.65 68.23 34.17 69.78 34.69 70.71 35.21 68.96 35.74 71.3 36.26 71.51 36.78 72.6 37.3 71.53 37.83 68.39 38.35 67.9 38.87 68.04 39.39 66.79 39.91 65.4 40.44 66.69 40.96 66.18 41.48 65.4 42 63.44 42.53 61.3 43.05 63.19 43.57 61.69 44.09 58.24 44.62 57.65 45.14 56.99 45.66 58.92 46.18 58.42 46.71 57.78 47.23 56.04 47.75 55.47 48.27 53.63 48.8 50.38 49.32 50.16 49.84 47.49 50.36 46.04 50.88 45.37 51.41 45.88 51.93 46.2 52.45 48.8 52.97 46.81 53.5 47.41 54.02 44.95 54.54 42.2 55.06 40.28 55.59 40.95 56.11 41.25 56.63 42.26 57.15 45.49 57.68 49.57 58.2 51.75 58.72 51.28 59.24 50.92 59.77 50.58 60.29 49.25 60.81 48.75 61.33 50.04 61.85 51.83 62.38 56.12 62.9 58.24 63.42 53.76 63.94 48.49 64.47 49.53 64.99 48.91 65.51 47.5 66.03 44.98 66.56 45.34 67.08 45.47 67.6 47.09 68.12 45.28 68.65 46.64 69.17 46.73 69.69 47.31 70.21 41.61 70.74 40.78 71.26 39.14 71.78 38.12 72.3 38.34 72.82 38.18 73.35 38.73 73.87 38.42 74.39 38.55 74.91 38.09 75.44 37.59 75.96 37.78 76.48 35.41 77 31.8 77.53 33.17 78.05 33.1 78.57 31.68 79.09 33.07 79.62 34.53 80.14 34.08 80.66 33.6 81.18 32.97 81.71 32.22 82.23 32.64 82.75 35.43 83.27 36.8 83.79 37.78 84.32 39.79 84.84 40.84 85.36 40.79 85.88 37.93 86.41 34.02 86.93 33.81 87.45 34.55 87.97 32.24 88.5 29.77 89.02 29.49 89.54 34.31 90.06 34.92 90.59 36.37 91.11 33.74 91.63 37.64 92.15 36.01 92.67 39.21 93.2 39.67 93.72 38.94 94.24 41.03 94.76 42.02 95.29 41.38 95.81 40.65 96.33 41.11 96.85 42.33 97.38 41.38 97.9 39.81 98.42 37.69 98.94 38.54 99.47 35.99 99.99 35.41 100.51 38.56 101.03 38.77 101.56 40.05 102.08 42.32 102.6 43.14 103.12 43.52 103.64 46.7 104.17 45.1 104.69 43.26 105.21 42.06 105.73 45.01 106.26 44.86 106.78 43.66 107.3 43.57 107.82 43.53 108.35 44.76 108.87 44.65 109.39 46.06 109.91 44.57 110.44 49.26 110.96 49.18 111.48 51.74 112 51.36 112.53 52.06 113.05 55.72 113.57 57.48 114.09 59.83 114.61 61.84 115.14 63.48 115.66 63.61 116.18 62.01 116.7 62.46 117.23 62.32 117.75 63.34 118.27 61.52 118.79 61.6 119.32 59.09 119.84 61.22 120.36 62.07 120.88 62.68 121.41 64.73 121.93 65.46 122.45 63.95 122.97 63.8 123.5 65.66 124.02 63.97 124.54 62.93 125.06 62.62 125.58 59.34\" class=\"geometry color_\" stroke=\"#88C4C4\"/>\n",
|
||
" <path fill=\"none\" d=\"M21.63,61.39 L 22.15 61.13 22.68 60.81 23.2 62.02 23.72 62.26 24.24 60.5 24.77 57.82 25.29 56.74 25.81 56.51 26.33 58.2 26.86 60.28 27.38 61.78 27.9 58.53 28.42 57.05 28.94 57.46 29.47 56.25 29.99 55.53 30.51 56.65 31.03 57.59 31.56 54.25 32.08 55.32 32.6 56.21 33.12 59.52 33.65 59.2 34.17 60.8 34.69 62.11 35.21 62.65 35.74 63.18 36.26 65.53 36.78 62.71 37.3 61.28 37.83 62.17 38.35 64.09 38.87 65.57 39.39 68.22 39.91 69.83 40.44 71.7 40.96 72.83 41.48 72.38 42 73.06 42.53 75.36 43.05 74.31 43.57 72.7 44.09 72.32 44.62 72.66 45.14 71.6 45.66 70.6 46.18 71.62 46.71 70.85 47.23 71.92 47.75 72.63 48.27 70.05 48.8 70.08 49.32 66.73 49.84 67.47 50.36 66.88 50.88 69.37 51.41 68.11 51.93 68.23 52.45 68.51 52.97 68.65 53.5 68.56 54.02 70.73 54.54 69.14 55.06 69.57 55.59 69.92 56.11 72.37 56.63 73.95 57.15 73.32 57.68 73.92 58.2 73.39 58.72 73.43 59.24 73.68 59.77 74.47 60.29 72.03 60.81 72.45 61.33 73.14 61.85 73.15 62.38 71.74 62.9 69.85 63.42 70.7 63.94 71.26 64.47 72.88 64.99 74.1 65.51 70.79 66.03 70.7 66.56 70.99 67.08 70.58 67.6 69.57 68.12 68.88 68.65 70.25 69.17 68.44 69.69 66.43 70.21 66.82 70.74 67.93 71.26 66.66 71.78 68.22 72.3 67.71 72.82 70.26 73.35 69.76 73.87 70.48 74.39 68.83 74.91 69.78 75.44 69.89 75.96 73.59 76.48 67.68 77 68.15 77.53 64.77 78.05 62.61 78.57 63.48 79.09 64.13 79.62 63.34 80.14 64.97 80.66 66.9 81.18 67.84 81.71 65.25 82.23 65.96 82.75 68.01 83.27 67.94 83.79 67.69 84.32 67.66 84.84 65.74 85.36 66.5 85.88 66.92 86.41 66.41 86.93 68.51 87.45 71.01 87.97 71.21 88.5 72.5 89.02 73.18 89.54 70.08 90.06 72.06 90.59 74.8 91.11 74.42 91.63 75.56 92.15 73.31 92.67 74.09 93.2 75.35 93.72 74.34 94.24 77.32 94.76 74.76 95.29 72.97 95.81 71.55 96.33 72.98 96.85 75.64 97.38 75.6 97.9 76.73 98.42 74.28 98.94 73.56 99.47 73.22 99.99 74.74 100.51 74.37 101.03 73.72 101.56 75.73 102.08 76.29 102.6 75.49 103.12 74.57 103.64 76.28 104.17 75.11 104.69 74.66 105.21 77.83 105.73 80.01 106.26 78.94 106.78 80.86 107.3 81.08 107.82 80.19 108.35 77.17 108.87 79.12 109.39 82.08 109.91 80.5 110.44 78.48 110.96 77.93 111.48 77.62 112 77.35 112.53 78.06 113.05 78 113.57 78.5 114.09 77.21 114.61 78.04 115.14 78.9 115.66 78.49 116.18 78.9 116.7 76.42 117.23 75.58 117.75 76.93 118.27 75.55 118.79 72.22 119.32 71.57 119.84 70.44 120.36 70.09 120.88 73.61 121.41 72.94 121.93 70.79 122.45 73.21 122.97 75.36 123.5 75.87 124.02 78.45 124.54 78.19 125.06 79.03 125.58 75.53\" class=\"geometry color_\" stroke=\"#BECAB9\"/>\n",
|
||
" <path fill=\"none\" d=\"M21.63,61.39 L 22.15 62.55 22.68 62.37 23.2 63.25 23.72 63.25 24.24 64.02 24.77 65.99 25.29 69.66 25.81 71.24 26.33 70.93 26.86 70.19 27.38 71.55 27.9 73.13 28.42 70.7 28.94 73.34 29.47 72.47 29.99 71.56 30.51 71.95 31.03 71.63 31.56 71.16 32.08 73.57 32.6 73.55 33.12 76.27 33.65 73.77 34.17 73.68 34.69 73.68 35.21 76.32 35.74 78.54 36.26 78.59 36.78 78.96 37.3 79.49 37.83 81.13 38.35 81.3 38.87 81.14 39.39 82.98 39.91 80.8 40.44 80.57 40.96 79.64 41.48 81.32 42 78.97 42.53 79.94 43.05 82.18 43.57 81.76 44.09 80.36 44.62 79.69 45.14 78.74 45.66 76.71 46.18 74.35 46.71 73.54 47.23 75.11 47.75 75.3 48.27 72.13 48.8 71.57 49.32 73.81 49.84 70.57 50.36 70.7 50.88 69.51 51.41 67.7 51.93 68.7 52.45 68.49 52.97 67.36 53.5 68.38 54.02 68.57 54.54 69.48 55.06 67.24 55.59 67.91 56.11 68.49 56.63 69.85 57.15 70.98 57.68 72.27 58.2 72.59 58.72 72.89 59.24 71.74 59.77 74.72 60.29 75.85 60.81 76.74 61.33 76.47 61.85 78.94 62.38 80.68 62.9 79.33 63.42 79.29 63.94 80.75 64.47 78.89 64.99 75.99 65.51 76.3 66.03 75.83 66.56 74.26 67.08 73.28 67.6 73.07 68.12 76.32 68.65 79.61 69.17 78.24 69.69 79.84 70.21 78.28 70.74 79.19 71.26 80.4 71.78 82.76 72.3 81.01 72.82 78.82 73.35 80.8 73.87 79.4 74.39 79.97 74.91 79.62 75.44 78.4 75.96 80.89 76.48 80.82 77 80.98 77.53 78.76 78.05 78.89 78.57 78.74 79.09 78.77 79.62 79.58 80.14 80.03 80.66 79.16 81.18 78.87 81.71 77.29 82.23 79.92 82.75 80.48 83.27 76.93 83.79 74.47 84.32 75.54 84.84 73.87 85.36 72.13 85.88 69.8 86.41 70.82 86.93 71.83 87.45 73.26 87.97 72.86 88.5 74.19 89.02 72.37 89.54 70.28 90.06 70.37 90.59 71.36 91.11 69.93 91.63 67.03 92.15 69.87 92.67 66.08 93.2 65.76 93.72 65.11 94.24 65.89 94.76 66.82 95.29 67.4 95.81 66.67 96.33 65.37 96.85 66.11 97.38 66.54 97.9 68.48 98.42 69.86 98.94 66.92 99.47 66.68 99.99 68.42 100.51 71.29 101.03 69.59 101.56 67.99 102.08 67.6 102.6 68.79 103.12 68.83 103.64 72.71 104.17 69.46 104.69 68.62 105.21 64.75 105.73 66.78 106.26 64.76 106.78 67.81 107.3 70.4 107.82 70.97 108.35 72.14 108.87 72.67 109.39 72.77 109.91 74.44 110.44 75.67 110.96 77.33 111.48 76.89 112 75.27 112.53 73.3 113.05 75.32 113.57 74.37 114.09 76.24 114.61 75.89 115.14 72.65 115.66 72.29 116.18 70.49 116.7 71.87 117.23 69.1 117.75 70.16 118.27 66.35 118.79 65.95 119.32 67.92 119.84 67.88 120.36 68.62 120.88 69.89 121.41 68.68 121.93 65.93 122.45 64.6 122.97 64.63 123.5 64.11 124.02 65.81 124.54 63.74 125.06 61.66 125.58 61.11\" class=\"geometry color_\" stroke=\"#D2B497\"/>\n",
|
||
" </g>\n",
|
||
" </g>\n",
|
||
" <g opacity=\"0\" class=\"guide zoomslider\" stroke=\"#000000\" stroke-opacity=\"0.000\" id=\"fig-3a6dd25ad25c4037a166889ee51bb151-element-15\">\n",
|
||
" <g fill=\"#EAEAEA\" stroke-width=\"0.3\" stroke-opacity=\"0\" stroke=\"#6A6A6A\" id=\"fig-3a6dd25ad25c4037a166889ee51bb151-element-16\">\n",
|
||
" <rect x=\"120.58\" y=\"8\" width=\"4\" height=\"4\"/>\n",
|
||
" <g class=\"button_logo\" fill=\"#6A6A6A\" id=\"fig-3a6dd25ad25c4037a166889ee51bb151-element-17\">\n",
|
||
" <path d=\"M121.38,9.6 L 122.18 9.6 122.18 8.8 122.98 8.8 122.98 9.6 123.78 9.6 123.78 10.4 122.98 10.4 122.98 11.2 122.18 11.2 122.18 10.4 121.38 10.4 z\"/>\n",
|
||
" </g>\n",
|
||
" </g>\n",
|
||
" <g fill=\"#EAEAEA\" id=\"fig-3a6dd25ad25c4037a166889ee51bb151-element-18\">\n",
|
||
" <rect x=\"101.08\" y=\"8\" width=\"19\" height=\"4\"/>\n",
|
||
" </g>\n",
|
||
" <g class=\"zoomslider_thumb\" fill=\"#6A6A6A\" id=\"fig-3a6dd25ad25c4037a166889ee51bb151-element-19\">\n",
|
||
" <rect x=\"109.58\" y=\"8\" width=\"2\" height=\"4\"/>\n",
|
||
" </g>\n",
|
||
" <g fill=\"#EAEAEA\" stroke-width=\"0.3\" stroke-opacity=\"0\" stroke=\"#6A6A6A\" id=\"fig-3a6dd25ad25c4037a166889ee51bb151-element-20\">\n",
|
||
" <rect x=\"96.58\" y=\"8\" width=\"4\" height=\"4\"/>\n",
|
||
" <g class=\"button_logo\" fill=\"#6A6A6A\" id=\"fig-3a6dd25ad25c4037a166889ee51bb151-element-21\">\n",
|
||
" <path d=\"M97.38,9.6 L 99.78 9.6 99.78 10.4 97.38 10.4 z\"/>\n",
|
||
" </g>\n",
|
||
" </g>\n",
|
||
" </g>\n",
|
||
" </g>\n",
|
||
" <g class=\"guide ylabels\" font-size=\"2.82\" font-family=\"'PT Sans Caption','Helvetica Neue','Helvetica',sans-serif\" fill=\"#6C606B\" id=\"fig-3a6dd25ad25c4037a166889ee51bb151-element-22\">\n",
|
||
" <text x=\"18.63\" y=\"175.05\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"1.0\">65</text>\n",
|
||
" <text x=\"18.63\" y=\"159.78\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"1.0\">70</text>\n",
|
||
" <text x=\"18.63\" y=\"144.5\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"1.0\">75</text>\n",
|
||
" <text x=\"18.63\" y=\"129.22\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"1.0\">80</text>\n",
|
||
" <text x=\"18.63\" y=\"113.94\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"1.0\">85</text>\n",
|
||
" <text x=\"18.63\" y=\"98.67\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"1.0\">90</text>\n",
|
||
" <text x=\"18.63\" y=\"83.39\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"visible\" gadfly:scale=\"1.0\">95</text>\n",
|
||
" <text x=\"18.63\" y=\"68.11\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"visible\" gadfly:scale=\"1.0\">100</text>\n",
|
||
" <text x=\"18.63\" y=\"52.83\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"visible\" gadfly:scale=\"1.0\">105</text>\n",
|
||
" <text x=\"18.63\" y=\"37.56\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"visible\" gadfly:scale=\"1.0\">110</text>\n",
|
||
" <text x=\"18.63\" y=\"22.28\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"visible\" gadfly:scale=\"1.0\">115</text>\n",
|
||
" <text x=\"18.63\" y=\"7\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"visible\" gadfly:scale=\"1.0\">120</text>\n",
|
||
" <text x=\"18.63\" y=\"-8.28\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"1.0\">125</text>\n",
|
||
" <text x=\"18.63\" y=\"-23.56\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"1.0\">130</text>\n",
|
||
" <text x=\"18.63\" y=\"-38.83\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"1.0\">135</text>\n",
|
||
" <text x=\"18.63\" y=\"-54.11\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"1.0\">140</text>\n",
|
||
" <text x=\"18.63\" y=\"-69.39\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"1.0\">145</text>\n",
|
||
" <text x=\"18.63\" y=\"-84.67\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"1.0\">150</text>\n",
|
||
" <text x=\"18.63\" y=\"159.78\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">70</text>\n",
|
||
" <text x=\"18.63\" y=\"156.72\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">71</text>\n",
|
||
" <text x=\"18.63\" y=\"153.67\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">72</text>\n",
|
||
" <text x=\"18.63\" y=\"150.61\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">73</text>\n",
|
||
" <text x=\"18.63\" y=\"147.55\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">74</text>\n",
|
||
" <text x=\"18.63\" y=\"144.5\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">75</text>\n",
|
||
" <text x=\"18.63\" y=\"141.44\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">76</text>\n",
|
||
" <text x=\"18.63\" y=\"138.39\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">77</text>\n",
|
||
" <text x=\"18.63\" y=\"135.33\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">78</text>\n",
|
||
" <text x=\"18.63\" y=\"132.28\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">79</text>\n",
|
||
" <text x=\"18.63\" y=\"129.22\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">80</text>\n",
|
||
" <text x=\"18.63\" y=\"126.17\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">81</text>\n",
|
||
" <text x=\"18.63\" y=\"123.11\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">82</text>\n",
|
||
" <text x=\"18.63\" y=\"120.05\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">83</text>\n",
|
||
" <text x=\"18.63\" y=\"117\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">84</text>\n",
|
||
" <text x=\"18.63\" y=\"113.94\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">85</text>\n",
|
||
" <text x=\"18.63\" y=\"110.89\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">86</text>\n",
|
||
" <text x=\"18.63\" y=\"107.83\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">87</text>\n",
|
||
" <text x=\"18.63\" y=\"104.78\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">88</text>\n",
|
||
" <text x=\"18.63\" y=\"101.72\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">89</text>\n",
|
||
" <text x=\"18.63\" y=\"98.67\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">90</text>\n",
|
||
" <text x=\"18.63\" y=\"95.61\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">91</text>\n",
|
||
" <text x=\"18.63\" y=\"92.55\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">92</text>\n",
|
||
" <text x=\"18.63\" y=\"89.5\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">93</text>\n",
|
||
" <text x=\"18.63\" y=\"86.44\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">94</text>\n",
|
||
" <text x=\"18.63\" y=\"83.39\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">95</text>\n",
|
||
" <text x=\"18.63\" y=\"80.33\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">96</text>\n",
|
||
" <text x=\"18.63\" y=\"77.28\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">97</text>\n",
|
||
" <text x=\"18.63\" y=\"74.22\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">98</text>\n",
|
||
" <text x=\"18.63\" y=\"71.17\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">99</text>\n",
|
||
" <text x=\"18.63\" y=\"68.11\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">100</text>\n",
|
||
" <text x=\"18.63\" y=\"65.06\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">101</text>\n",
|
||
" <text x=\"18.63\" y=\"62\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">102</text>\n",
|
||
" <text x=\"18.63\" y=\"58.94\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">103</text>\n",
|
||
" <text x=\"18.63\" y=\"55.89\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">104</text>\n",
|
||
" <text x=\"18.63\" y=\"52.83\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">105</text>\n",
|
||
" <text x=\"18.63\" y=\"49.78\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">106</text>\n",
|
||
" <text x=\"18.63\" y=\"46.72\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">107</text>\n",
|
||
" <text x=\"18.63\" y=\"43.67\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">108</text>\n",
|
||
" <text x=\"18.63\" y=\"40.61\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">109</text>\n",
|
||
" <text x=\"18.63\" y=\"37.56\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">110</text>\n",
|
||
" <text x=\"18.63\" y=\"34.5\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">111</text>\n",
|
||
" <text x=\"18.63\" y=\"31.44\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">112</text>\n",
|
||
" <text x=\"18.63\" y=\"28.39\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">113</text>\n",
|
||
" <text x=\"18.63\" y=\"25.33\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">114</text>\n",
|
||
" <text x=\"18.63\" y=\"22.28\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">115</text>\n",
|
||
" <text x=\"18.63\" y=\"19.22\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">116</text>\n",
|
||
" <text x=\"18.63\" y=\"16.17\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">117</text>\n",
|
||
" <text x=\"18.63\" y=\"13.11\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">118</text>\n",
|
||
" <text x=\"18.63\" y=\"10.06\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">119</text>\n",
|
||
" <text x=\"18.63\" y=\"7\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">120</text>\n",
|
||
" <text x=\"18.63\" y=\"3.94\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">121</text>\n",
|
||
" <text x=\"18.63\" y=\"0.89\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">122</text>\n",
|
||
" <text x=\"18.63\" y=\"-2.17\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">123</text>\n",
|
||
" <text x=\"18.63\" y=\"-5.22\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">124</text>\n",
|
||
" <text x=\"18.63\" y=\"-8.28\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">125</text>\n",
|
||
" <text x=\"18.63\" y=\"-11.33\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">126</text>\n",
|
||
" <text x=\"18.63\" y=\"-14.39\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">127</text>\n",
|
||
" <text x=\"18.63\" y=\"-17.44\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">128</text>\n",
|
||
" <text x=\"18.63\" y=\"-20.5\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">129</text>\n",
|
||
" <text x=\"18.63\" y=\"-23.56\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">130</text>\n",
|
||
" <text x=\"18.63\" y=\"-26.61\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">131</text>\n",
|
||
" <text x=\"18.63\" y=\"-29.67\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">132</text>\n",
|
||
" <text x=\"18.63\" y=\"-32.72\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">133</text>\n",
|
||
" <text x=\"18.63\" y=\"-35.78\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">134</text>\n",
|
||
" <text x=\"18.63\" y=\"-38.83\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">135</text>\n",
|
||
" <text x=\"18.63\" y=\"-41.89\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">136</text>\n",
|
||
" <text x=\"18.63\" y=\"-44.94\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">137</text>\n",
|
||
" <text x=\"18.63\" y=\"-48\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">138</text>\n",
|
||
" <text x=\"18.63\" y=\"-51.06\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">139</text>\n",
|
||
" <text x=\"18.63\" y=\"-54.11\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">140</text>\n",
|
||
" <text x=\"18.63\" y=\"-57.17\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">141</text>\n",
|
||
" <text x=\"18.63\" y=\"-60.22\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">142</text>\n",
|
||
" <text x=\"18.63\" y=\"-63.28\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">143</text>\n",
|
||
" <text x=\"18.63\" y=\"-66.33\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">144</text>\n",
|
||
" <text x=\"18.63\" y=\"-69.39\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">145</text>\n",
|
||
" <text x=\"18.63\" y=\"220.89\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"0.5\">50</text>\n",
|
||
" <text x=\"18.63\" y=\"68.11\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"0.5\">100</text>\n",
|
||
" <text x=\"18.63\" y=\"-84.67\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"0.5\">150</text>\n",
|
||
" <text x=\"18.63\" y=\"159.78\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">70</text>\n",
|
||
" <text x=\"18.63\" y=\"153.67\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">72</text>\n",
|
||
" <text x=\"18.63\" y=\"147.55\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">74</text>\n",
|
||
" <text x=\"18.63\" y=\"141.44\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">76</text>\n",
|
||
" <text x=\"18.63\" y=\"135.33\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">78</text>\n",
|
||
" <text x=\"18.63\" y=\"129.22\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">80</text>\n",
|
||
" <text x=\"18.63\" y=\"123.11\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">82</text>\n",
|
||
" <text x=\"18.63\" y=\"117\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">84</text>\n",
|
||
" <text x=\"18.63\" y=\"110.89\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">86</text>\n",
|
||
" <text x=\"18.63\" y=\"104.78\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">88</text>\n",
|
||
" <text x=\"18.63\" y=\"98.67\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">90</text>\n",
|
||
" <text x=\"18.63\" y=\"92.55\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">92</text>\n",
|
||
" <text x=\"18.63\" y=\"86.44\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">94</text>\n",
|
||
" <text x=\"18.63\" y=\"80.33\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">96</text>\n",
|
||
" <text x=\"18.63\" y=\"74.22\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">98</text>\n",
|
||
" <text x=\"18.63\" y=\"68.11\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">100</text>\n",
|
||
" <text x=\"18.63\" y=\"62\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">102</text>\n",
|
||
" <text x=\"18.63\" y=\"55.89\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">104</text>\n",
|
||
" <text x=\"18.63\" y=\"49.78\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">106</text>\n",
|
||
" <text x=\"18.63\" y=\"43.67\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">108</text>\n",
|
||
" <text x=\"18.63\" y=\"37.56\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">110</text>\n",
|
||
" <text x=\"18.63\" y=\"31.44\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">112</text>\n",
|
||
" <text x=\"18.63\" y=\"25.33\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">114</text>\n",
|
||
" <text x=\"18.63\" y=\"19.22\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">116</text>\n",
|
||
" <text x=\"18.63\" y=\"13.11\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">118</text>\n",
|
||
" <text x=\"18.63\" y=\"7\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">120</text>\n",
|
||
" <text x=\"18.63\" y=\"0.89\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">122</text>\n",
|
||
" <text x=\"18.63\" y=\"-5.22\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">124</text>\n",
|
||
" <text x=\"18.63\" y=\"-11.33\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">126</text>\n",
|
||
" <text x=\"18.63\" y=\"-17.44\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">128</text>\n",
|
||
" <text x=\"18.63\" y=\"-23.56\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">130</text>\n",
|
||
" <text x=\"18.63\" y=\"-29.67\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">132</text>\n",
|
||
" <text x=\"18.63\" y=\"-35.78\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">134</text>\n",
|
||
" <text x=\"18.63\" y=\"-41.89\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">136</text>\n",
|
||
" <text x=\"18.63\" y=\"-48\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">138</text>\n",
|
||
" <text x=\"18.63\" y=\"-54.11\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">140</text>\n",
|
||
" <text x=\"18.63\" y=\"-60.22\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">142</text>\n",
|
||
" <text x=\"18.63\" y=\"-66.33\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">144</text>\n",
|
||
" <text x=\"18.63\" y=\"-72.44\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">146</text>\n",
|
||
" </g>\n",
|
||
" <g font-size=\"3.88\" font-family=\"'PT Sans','Helvetica Neue','Helvetica',sans-serif\" fill=\"#564A55\" stroke=\"#000000\" stroke-opacity=\"0.000\" id=\"fig-3a6dd25ad25c4037a166889ee51bb151-element-23\">\n",
|
||
" <text x=\"8.81\" y=\"43.19\" text-anchor=\"middle\" dy=\"0.35em\" transform=\"rotate(-90, 8.81, 45.19)\">Value</text>\n",
|
||
" </g>\n",
|
||
"</g>\n",
|
||
"<defs>\n",
|
||
"<clipPath id=\"fig-3a6dd25ad25c4037a166889ee51bb151-element-9\">\n",
|
||
" <path d=\"M19.63,5 L 127.58 5 127.58 85.39 19.63 85.39\" />\n",
|
||
"</clipPath\n",
|
||
"></defs>\n",
|
||
"<script> <![CDATA[\n",
|
||
"(function(N){var k=/[\\.\\/]/,L=/\\s*,\\s*/,C=function(a,d){return a-d},a,v,y={n:{}},M=function(){for(var a=0,d=this.length;a<d;a++)if(\"undefined\"!=typeof this[a])return this[a]},A=function(){for(var a=this.length;--a;)if(\"undefined\"!=typeof this[a])return this[a]},w=function(k,d){k=String(k);var f=v,n=Array.prototype.slice.call(arguments,2),u=w.listeners(k),p=0,b,q=[],e={},l=[],r=a;l.firstDefined=M;l.lastDefined=A;a=k;for(var s=v=0,x=u.length;s<x;s++)\"zIndex\"in u[s]&&(q.push(u[s].zIndex),0>u[s].zIndex&&\n",
|
||
"(e[u[s].zIndex]=u[s]));for(q.sort(C);0>q[p];)if(b=e[q[p++] ],l.push(b.apply(d,n)),v)return v=f,l;for(s=0;s<x;s++)if(b=u[s],\"zIndex\"in b)if(b.zIndex==q[p]){l.push(b.apply(d,n));if(v)break;do if(p++,(b=e[q[p] ])&&l.push(b.apply(d,n)),v)break;while(b)}else e[b.zIndex]=b;else if(l.push(b.apply(d,n)),v)break;v=f;a=r;return l};w._events=y;w.listeners=function(a){a=a.split(k);var d=y,f,n,u,p,b,q,e,l=[d],r=[];u=0;for(p=a.length;u<p;u++){e=[];b=0;for(q=l.length;b<q;b++)for(d=l[b].n,f=[d[a[u] ],d[\"*\"] ],n=2;n--;)if(d=\n",
|
||
"f[n])e.push(d),r=r.concat(d.f||[]);l=e}return r};w.on=function(a,d){a=String(a);if(\"function\"!=typeof d)return function(){};for(var f=a.split(L),n=0,u=f.length;n<u;n++)(function(a){a=a.split(k);for(var b=y,f,e=0,l=a.length;e<l;e++)b=b.n,b=b.hasOwnProperty(a[e])&&b[a[e] ]||(b[a[e] ]={n:{}});b.f=b.f||[];e=0;for(l=b.f.length;e<l;e++)if(b.f[e]==d){f=!0;break}!f&&b.f.push(d)})(f[n]);return function(a){+a==+a&&(d.zIndex=+a)}};w.f=function(a){var d=[].slice.call(arguments,1);return function(){w.apply(null,\n",
|
||
"[a,null].concat(d).concat([].slice.call(arguments,0)))}};w.stop=function(){v=1};w.nt=function(k){return k?(new RegExp(\"(?:\\\\.|\\\\/|^)\"+k+\"(?:\\\\.|\\\\/|$)\")).test(a):a};w.nts=function(){return a.split(k)};w.off=w.unbind=function(a,d){if(a){var f=a.split(L);if(1<f.length)for(var n=0,u=f.length;n<u;n++)w.off(f[n],d);else{for(var f=a.split(k),p,b,q,e,l=[y],n=0,u=f.length;n<u;n++)for(e=0;e<l.length;e+=q.length-2){q=[e,1];p=l[e].n;if(\"*\"!=f[n])p[f[n] ]&&q.push(p[f[n] ]);else for(b in p)p.hasOwnProperty(b)&&\n",
|
||
"q.push(p[b]);l.splice.apply(l,q)}n=0;for(u=l.length;n<u;n++)for(p=l[n];p.n;){if(d){if(p.f){e=0;for(f=p.f.length;e<f;e++)if(p.f[e]==d){p.f.splice(e,1);break}!p.f.length&&delete p.f}for(b in p.n)if(p.n.hasOwnProperty(b)&&p.n[b].f){q=p.n[b].f;e=0;for(f=q.length;e<f;e++)if(q[e]==d){q.splice(e,1);break}!q.length&&delete p.n[b].f}}else for(b in delete p.f,p.n)p.n.hasOwnProperty(b)&&p.n[b].f&&delete p.n[b].f;p=p.n}}}else w._events=y={n:{}}};w.once=function(a,d){var f=function(){w.unbind(a,f);return d.apply(this,\n",
|
||
"arguments)};return w.on(a,f)};w.version=\"0.4.2\";w.toString=function(){return\"You are running Eve 0.4.2\"};\"undefined\"!=typeof module&&module.exports?module.exports=w:\"function\"===typeof define&&define.amd?define(\"eve\",[],function(){return w}):N.eve=w})(this);\n",
|
||
"(function(N,k){\"function\"===typeof define&&define.amd?define(\"Snap.svg\",[\"eve\"],function(L){return k(N,L)}):k(N,N.eve)})(this,function(N,k){var L=function(a){var k={},y=N.requestAnimationFrame||N.webkitRequestAnimationFrame||N.mozRequestAnimationFrame||N.oRequestAnimationFrame||N.msRequestAnimationFrame||function(a){setTimeout(a,16)},M=Array.isArray||function(a){return a instanceof Array||\"[object Array]\"==Object.prototype.toString.call(a)},A=0,w=\"M\"+(+new Date).toString(36),z=function(a){if(null==\n",
|
||
"a)return this.s;var b=this.s-a;this.b+=this.dur*b;this.B+=this.dur*b;this.s=a},d=function(a){if(null==a)return this.spd;this.spd=a},f=function(a){if(null==a)return this.dur;this.s=this.s*a/this.dur;this.dur=a},n=function(){delete k[this.id];this.update();a(\"mina.stop.\"+this.id,this)},u=function(){this.pdif||(delete k[this.id],this.update(),this.pdif=this.get()-this.b)},p=function(){this.pdif&&(this.b=this.get()-this.pdif,delete this.pdif,k[this.id]=this)},b=function(){var a;if(M(this.start)){a=[];\n",
|
||
"for(var b=0,e=this.start.length;b<e;b++)a[b]=+this.start[b]+(this.end[b]-this.start[b])*this.easing(this.s)}else a=+this.start+(this.end-this.start)*this.easing(this.s);this.set(a)},q=function(){var l=0,b;for(b in k)if(k.hasOwnProperty(b)){var e=k[b],f=e.get();l++;e.s=(f-e.b)/(e.dur/e.spd);1<=e.s&&(delete k[b],e.s=1,l--,function(b){setTimeout(function(){a(\"mina.finish.\"+b.id,b)})}(e));e.update()}l&&y(q)},e=function(a,r,s,x,G,h,J){a={id:w+(A++).toString(36),start:a,end:r,b:s,s:0,dur:x-s,spd:1,get:G,\n",
|
||
"set:h,easing:J||e.linear,status:z,speed:d,duration:f,stop:n,pause:u,resume:p,update:b};k[a.id]=a;r=0;for(var K in k)if(k.hasOwnProperty(K)&&(r++,2==r))break;1==r&&y(q);return a};e.time=Date.now||function(){return+new Date};e.getById=function(a){return k[a]||null};e.linear=function(a){return a};e.easeout=function(a){return Math.pow(a,1.7)};e.easein=function(a){return Math.pow(a,0.48)};e.easeinout=function(a){if(1==a)return 1;if(0==a)return 0;var b=0.48-a/1.04,e=Math.sqrt(0.1734+b*b);a=e-b;a=Math.pow(Math.abs(a),\n",
|
||
"1/3)*(0>a?-1:1);b=-e-b;b=Math.pow(Math.abs(b),1/3)*(0>b?-1:1);a=a+b+0.5;return 3*(1-a)*a*a+a*a*a};e.backin=function(a){return 1==a?1:a*a*(2.70158*a-1.70158)};e.backout=function(a){if(0==a)return 0;a-=1;return a*a*(2.70158*a+1.70158)+1};e.elastic=function(a){return a==!!a?a:Math.pow(2,-10*a)*Math.sin(2*(a-0.075)*Math.PI/0.3)+1};e.bounce=function(a){a<1/2.75?a*=7.5625*a:a<2/2.75?(a-=1.5/2.75,a=7.5625*a*a+0.75):a<2.5/2.75?(a-=2.25/2.75,a=7.5625*a*a+0.9375):(a-=2.625/2.75,a=7.5625*a*a+0.984375);return a};\n",
|
||
"return N.mina=e}(\"undefined\"==typeof k?function(){}:k),C=function(){function a(c,t){if(c){if(c.tagName)return x(c);if(y(c,\"array\")&&a.set)return a.set.apply(a,c);if(c instanceof e)return c;if(null==t)return c=G.doc.querySelector(c),x(c)}return new s(null==c?\"100%\":c,null==t?\"100%\":t)}function v(c,a){if(a){\"#text\"==c&&(c=G.doc.createTextNode(a.text||\"\"));\"string\"==typeof c&&(c=v(c));if(\"string\"==typeof a)return\"xlink:\"==a.substring(0,6)?c.getAttributeNS(m,a.substring(6)):\"xml:\"==a.substring(0,4)?c.getAttributeNS(la,\n",
|
||
"a.substring(4)):c.getAttribute(a);for(var da in a)if(a[h](da)){var b=J(a[da]);b?\"xlink:\"==da.substring(0,6)?c.setAttributeNS(m,da.substring(6),b):\"xml:\"==da.substring(0,4)?c.setAttributeNS(la,da.substring(4),b):c.setAttribute(da,b):c.removeAttribute(da)}}else c=G.doc.createElementNS(la,c);return c}function y(c,a){a=J.prototype.toLowerCase.call(a);return\"finite\"==a?isFinite(c):\"array\"==a&&(c instanceof Array||Array.isArray&&Array.isArray(c))?!0:\"null\"==a&&null===c||a==typeof c&&null!==c||\"object\"==\n",
|
||
"a&&c===Object(c)||$.call(c).slice(8,-1).toLowerCase()==a}function M(c){if(\"function\"==typeof c||Object(c)!==c)return c;var a=new c.constructor,b;for(b in c)c[h](b)&&(a[b]=M(c[b]));return a}function A(c,a,b){function m(){var e=Array.prototype.slice.call(arguments,0),f=e.join(\"\\u2400\"),d=m.cache=m.cache||{},l=m.count=m.count||[];if(d[h](f)){a:for(var e=l,l=f,B=0,H=e.length;B<H;B++)if(e[B]===l){e.push(e.splice(B,1)[0]);break a}return b?b(d[f]):d[f]}1E3<=l.length&&delete d[l.shift()];l.push(f);d[f]=c.apply(a,\n",
|
||
"e);return b?b(d[f]):d[f]}return m}function w(c,a,b,m,e,f){return null==e?(c-=b,a-=m,c||a?(180*I.atan2(-a,-c)/C+540)%360:0):w(c,a,e,f)-w(b,m,e,f)}function z(c){return c%360*C/180}function d(c){var a=[];c=c.replace(/(?:^|\\s)(\\w+)\\(([^)]+)\\)/g,function(c,b,m){m=m.split(/\\s*,\\s*|\\s+/);\"rotate\"==b&&1==m.length&&m.push(0,0);\"scale\"==b&&(2<m.length?m=m.slice(0,2):2==m.length&&m.push(0,0),1==m.length&&m.push(m[0],0,0));\"skewX\"==b?a.push([\"m\",1,0,I.tan(z(m[0])),1,0,0]):\"skewY\"==b?a.push([\"m\",1,I.tan(z(m[0])),\n",
|
||
"0,1,0,0]):a.push([b.charAt(0)].concat(m));return c});return a}function f(c,t){var b=O(c),m=new a.Matrix;if(b)for(var e=0,f=b.length;e<f;e++){var h=b[e],d=h.length,B=J(h[0]).toLowerCase(),H=h[0]!=B,l=H?m.invert():0,E;\"t\"==B&&2==d?m.translate(h[1],0):\"t\"==B&&3==d?H?(d=l.x(0,0),B=l.y(0,0),H=l.x(h[1],h[2]),l=l.y(h[1],h[2]),m.translate(H-d,l-B)):m.translate(h[1],h[2]):\"r\"==B?2==d?(E=E||t,m.rotate(h[1],E.x+E.width/2,E.y+E.height/2)):4==d&&(H?(H=l.x(h[2],h[3]),l=l.y(h[2],h[3]),m.rotate(h[1],H,l)):m.rotate(h[1],\n",
|
||
"h[2],h[3])):\"s\"==B?2==d||3==d?(E=E||t,m.scale(h[1],h[d-1],E.x+E.width/2,E.y+E.height/2)):4==d?H?(H=l.x(h[2],h[3]),l=l.y(h[2],h[3]),m.scale(h[1],h[1],H,l)):m.scale(h[1],h[1],h[2],h[3]):5==d&&(H?(H=l.x(h[3],h[4]),l=l.y(h[3],h[4]),m.scale(h[1],h[2],H,l)):m.scale(h[1],h[2],h[3],h[4])):\"m\"==B&&7==d&&m.add(h[1],h[2],h[3],h[4],h[5],h[6])}return m}function n(c,t){if(null==t){var m=!0;t=\"linearGradient\"==c.type||\"radialGradient\"==c.type?c.node.getAttribute(\"gradientTransform\"):\"pattern\"==c.type?c.node.getAttribute(\"patternTransform\"):\n",
|
||
"c.node.getAttribute(\"transform\");if(!t)return new a.Matrix;t=d(t)}else t=a._.rgTransform.test(t)?J(t).replace(/\\.{3}|\\u2026/g,c._.transform||aa):d(t),y(t,\"array\")&&(t=a.path?a.path.toString.call(t):J(t)),c._.transform=t;var b=f(t,c.getBBox(1));if(m)return b;c.matrix=b}function u(c){c=c.node.ownerSVGElement&&x(c.node.ownerSVGElement)||c.node.parentNode&&x(c.node.parentNode)||a.select(\"svg\")||a(0,0);var t=c.select(\"defs\"),t=null==t?!1:t.node;t||(t=r(\"defs\",c.node).node);return t}function p(c){return c.node.ownerSVGElement&&\n",
|
||
"x(c.node.ownerSVGElement)||a.select(\"svg\")}function b(c,a,m){function b(c){if(null==c)return aa;if(c==+c)return c;v(B,{width:c});try{return B.getBBox().width}catch(a){return 0}}function h(c){if(null==c)return aa;if(c==+c)return c;v(B,{height:c});try{return B.getBBox().height}catch(a){return 0}}function e(b,B){null==a?d[b]=B(c.attr(b)||0):b==a&&(d=B(null==m?c.attr(b)||0:m))}var f=p(c).node,d={},B=f.querySelector(\".svg---mgr\");B||(B=v(\"rect\"),v(B,{x:-9E9,y:-9E9,width:10,height:10,\"class\":\"svg---mgr\",\n",
|
||
"fill:\"none\"}),f.appendChild(B));switch(c.type){case \"rect\":e(\"rx\",b),e(\"ry\",h);case \"image\":e(\"width\",b),e(\"height\",h);case \"text\":e(\"x\",b);e(\"y\",h);break;case \"circle\":e(\"cx\",b);e(\"cy\",h);e(\"r\",b);break;case \"ellipse\":e(\"cx\",b);e(\"cy\",h);e(\"rx\",b);e(\"ry\",h);break;case \"line\":e(\"x1\",b);e(\"x2\",b);e(\"y1\",h);e(\"y2\",h);break;case \"marker\":e(\"refX\",b);e(\"markerWidth\",b);e(\"refY\",h);e(\"markerHeight\",h);break;case \"radialGradient\":e(\"fx\",b);e(\"fy\",h);break;case \"tspan\":e(\"dx\",b);e(\"dy\",h);break;default:e(a,\n",
|
||
"b)}f.removeChild(B);return d}function q(c){y(c,\"array\")||(c=Array.prototype.slice.call(arguments,0));for(var a=0,b=0,m=this.node;this[a];)delete this[a++];for(a=0;a<c.length;a++)\"set\"==c[a].type?c[a].forEach(function(c){m.appendChild(c.node)}):m.appendChild(c[a].node);for(var h=m.childNodes,a=0;a<h.length;a++)this[b++]=x(h[a]);return this}function e(c){if(c.snap in E)return E[c.snap];var a=this.id=V(),b;try{b=c.ownerSVGElement}catch(m){}this.node=c;b&&(this.paper=new s(b));this.type=c.tagName;this.anims=\n",
|
||
"{};this._={transform:[]};c.snap=a;E[a]=this;\"g\"==this.type&&(this.add=q);if(this.type in{g:1,mask:1,pattern:1})for(var e in s.prototype)s.prototype[h](e)&&(this[e]=s.prototype[e])}function l(c){this.node=c}function r(c,a){var b=v(c);a.appendChild(b);return x(b)}function s(c,a){var b,m,f,d=s.prototype;if(c&&\"svg\"==c.tagName){if(c.snap in E)return E[c.snap];var l=c.ownerDocument;b=new e(c);m=c.getElementsByTagName(\"desc\")[0];f=c.getElementsByTagName(\"defs\")[0];m||(m=v(\"desc\"),m.appendChild(l.createTextNode(\"Created with Snap\")),\n",
|
||
"b.node.appendChild(m));f||(f=v(\"defs\"),b.node.appendChild(f));b.defs=f;for(var ca in d)d[h](ca)&&(b[ca]=d[ca]);b.paper=b.root=b}else b=r(\"svg\",G.doc.body),v(b.node,{height:a,version:1.1,width:c,xmlns:la});return b}function x(c){return!c||c instanceof e||c instanceof l?c:c.tagName&&\"svg\"==c.tagName.toLowerCase()?new s(c):c.tagName&&\"object\"==c.tagName.toLowerCase()&&\"image/svg+xml\"==c.type?new s(c.contentDocument.getElementsByTagName(\"svg\")[0]):new e(c)}a.version=\"0.3.0\";a.toString=function(){return\"Snap v\"+\n",
|
||
"this.version};a._={};var G={win:N,doc:N.document};a._.glob=G;var h=\"hasOwnProperty\",J=String,K=parseFloat,U=parseInt,I=Math,P=I.max,Q=I.min,Y=I.abs,C=I.PI,aa=\"\",$=Object.prototype.toString,F=/^\\s*((#[a-f\\d]{6})|(#[a-f\\d]{3})|rgba?\\(\\s*([\\d\\.]+%?\\s*,\\s*[\\d\\.]+%?\\s*,\\s*[\\d\\.]+%?(?:\\s*,\\s*[\\d\\.]+%?)?)\\s*\\)|hsba?\\(\\s*([\\d\\.]+(?:deg|\\xb0|%)?\\s*,\\s*[\\d\\.]+%?\\s*,\\s*[\\d\\.]+(?:%?\\s*,\\s*[\\d\\.]+)?%?)\\s*\\)|hsla?\\(\\s*([\\d\\.]+(?:deg|\\xb0|%)?\\s*,\\s*[\\d\\.]+%?\\s*,\\s*[\\d\\.]+(?:%?\\s*,\\s*[\\d\\.]+)?%?)\\s*\\))\\s*$/i;a._.separator=\n",
|
||
"RegExp(\"[,\\t\\n\\x0B\\f\\r \\u00a0\\u1680\\u180e\\u2000\\u2001\\u2002\\u2003\\u2004\\u2005\\u2006\\u2007\\u2008\\u2009\\u200a\\u202f\\u205f\\u3000\\u2028\\u2029]+\");var S=RegExp(\"[\\t\\n\\x0B\\f\\r \\u00a0\\u1680\\u180e\\u2000\\u2001\\u2002\\u2003\\u2004\\u2005\\u2006\\u2007\\u2008\\u2009\\u200a\\u202f\\u205f\\u3000\\u2028\\u2029]*,[\\t\\n\\x0B\\f\\r \\u00a0\\u1680\\u180e\\u2000\\u2001\\u2002\\u2003\\u2004\\u2005\\u2006\\u2007\\u2008\\u2009\\u200a\\u202f\\u205f\\u3000\\u2028\\u2029]*\"),X={hs:1,rg:1},W=RegExp(\"([a-z])[\\t\\n\\x0B\\f\\r \\u00a0\\u1680\\u180e\\u2000\\u2001\\u2002\\u2003\\u2004\\u2005\\u2006\\u2007\\u2008\\u2009\\u200a\\u202f\\u205f\\u3000\\u2028\\u2029,]*((-?\\\\d*\\\\.?\\\\d*(?:e[\\\\-+]?\\\\d+)?[\\t\\n\\x0B\\f\\r \\u00a0\\u1680\\u180e\\u2000\\u2001\\u2002\\u2003\\u2004\\u2005\\u2006\\u2007\\u2008\\u2009\\u200a\\u202f\\u205f\\u3000\\u2028\\u2029]*,?[\\t\\n\\x0B\\f\\r \\u00a0\\u1680\\u180e\\u2000\\u2001\\u2002\\u2003\\u2004\\u2005\\u2006\\u2007\\u2008\\u2009\\u200a\\u202f\\u205f\\u3000\\u2028\\u2029]*)+)\",\n",
|
||
"\"ig\"),ma=RegExp(\"([rstm])[\\t\\n\\x0B\\f\\r \\u00a0\\u1680\\u180e\\u2000\\u2001\\u2002\\u2003\\u2004\\u2005\\u2006\\u2007\\u2008\\u2009\\u200a\\u202f\\u205f\\u3000\\u2028\\u2029,]*((-?\\\\d*\\\\.?\\\\d*(?:e[\\\\-+]?\\\\d+)?[\\t\\n\\x0B\\f\\r \\u00a0\\u1680\\u180e\\u2000\\u2001\\u2002\\u2003\\u2004\\u2005\\u2006\\u2007\\u2008\\u2009\\u200a\\u202f\\u205f\\u3000\\u2028\\u2029]*,?[\\t\\n\\x0B\\f\\r \\u00a0\\u1680\\u180e\\u2000\\u2001\\u2002\\u2003\\u2004\\u2005\\u2006\\u2007\\u2008\\u2009\\u200a\\u202f\\u205f\\u3000\\u2028\\u2029]*)+)\",\"ig\"),Z=RegExp(\"(-?\\\\d*\\\\.?\\\\d*(?:e[\\\\-+]?\\\\d+)?)[\\t\\n\\x0B\\f\\r \\u00a0\\u1680\\u180e\\u2000\\u2001\\u2002\\u2003\\u2004\\u2005\\u2006\\u2007\\u2008\\u2009\\u200a\\u202f\\u205f\\u3000\\u2028\\u2029]*,?[\\t\\n\\x0B\\f\\r \\u00a0\\u1680\\u180e\\u2000\\u2001\\u2002\\u2003\\u2004\\u2005\\u2006\\u2007\\u2008\\u2009\\u200a\\u202f\\u205f\\u3000\\u2028\\u2029]*\",\n",
|
||
"\"ig\"),na=0,ba=\"S\"+(+new Date).toString(36),V=function(){return ba+(na++).toString(36)},m=\"http://www.w3.org/1999/xlink\",la=\"http://www.w3.org/2000/svg\",E={},ca=a.url=function(c){return\"url('#\"+c+\"')\"};a._.$=v;a._.id=V;a.format=function(){var c=/\\{([^\\}]+)\\}/g,a=/(?:(?:^|\\.)(.+?)(?=\\[|\\.|$|\\()|\\[('|\")(.+?)\\2\\])(\\(\\))?/g,b=function(c,b,m){var h=m;b.replace(a,function(c,a,b,m,t){a=a||m;h&&(a in h&&(h=h[a]),\"function\"==typeof h&&t&&(h=h()))});return h=(null==h||h==m?c:h)+\"\"};return function(a,m){return J(a).replace(c,\n",
|
||
"function(c,a){return b(c,a,m)})}}();a._.clone=M;a._.cacher=A;a.rad=z;a.deg=function(c){return 180*c/C%360};a.angle=w;a.is=y;a.snapTo=function(c,a,b){b=y(b,\"finite\")?b:10;if(y(c,\"array\"))for(var m=c.length;m--;){if(Y(c[m]-a)<=b)return c[m]}else{c=+c;m=a%c;if(m<b)return a-m;if(m>c-b)return a-m+c}return a};a.getRGB=A(function(c){if(!c||(c=J(c)).indexOf(\"-\")+1)return{r:-1,g:-1,b:-1,hex:\"none\",error:1,toString:ka};if(\"none\"==c)return{r:-1,g:-1,b:-1,hex:\"none\",toString:ka};!X[h](c.toLowerCase().substring(0,\n",
|
||
"2))&&\"#\"!=c.charAt()&&(c=T(c));if(!c)return{r:-1,g:-1,b:-1,hex:\"none\",error:1,toString:ka};var b,m,e,f,d;if(c=c.match(F)){c[2]&&(e=U(c[2].substring(5),16),m=U(c[2].substring(3,5),16),b=U(c[2].substring(1,3),16));c[3]&&(e=U((d=c[3].charAt(3))+d,16),m=U((d=c[3].charAt(2))+d,16),b=U((d=c[3].charAt(1))+d,16));c[4]&&(d=c[4].split(S),b=K(d[0]),\"%\"==d[0].slice(-1)&&(b*=2.55),m=K(d[1]),\"%\"==d[1].slice(-1)&&(m*=2.55),e=K(d[2]),\"%\"==d[2].slice(-1)&&(e*=2.55),\"rgba\"==c[1].toLowerCase().slice(0,4)&&(f=K(d[3])),\n",
|
||
"d[3]&&\"%\"==d[3].slice(-1)&&(f/=100));if(c[5])return d=c[5].split(S),b=K(d[0]),\"%\"==d[0].slice(-1)&&(b/=100),m=K(d[1]),\"%\"==d[1].slice(-1)&&(m/=100),e=K(d[2]),\"%\"==d[2].slice(-1)&&(e/=100),\"deg\"!=d[0].slice(-3)&&\"\\u00b0\"!=d[0].slice(-1)||(b/=360),\"hsba\"==c[1].toLowerCase().slice(0,4)&&(f=K(d[3])),d[3]&&\"%\"==d[3].slice(-1)&&(f/=100),a.hsb2rgb(b,m,e,f);if(c[6])return d=c[6].split(S),b=K(d[0]),\"%\"==d[0].slice(-1)&&(b/=100),m=K(d[1]),\"%\"==d[1].slice(-1)&&(m/=100),e=K(d[2]),\"%\"==d[2].slice(-1)&&(e/=100),\n",
|
||
"\"deg\"!=d[0].slice(-3)&&\"\\u00b0\"!=d[0].slice(-1)||(b/=360),\"hsla\"==c[1].toLowerCase().slice(0,4)&&(f=K(d[3])),d[3]&&\"%\"==d[3].slice(-1)&&(f/=100),a.hsl2rgb(b,m,e,f);b=Q(I.round(b),255);m=Q(I.round(m),255);e=Q(I.round(e),255);f=Q(P(f,0),1);c={r:b,g:m,b:e,toString:ka};c.hex=\"#\"+(16777216|e|m<<8|b<<16).toString(16).slice(1);c.opacity=y(f,\"finite\")?f:1;return c}return{r:-1,g:-1,b:-1,hex:\"none\",error:1,toString:ka}},a);a.hsb=A(function(c,b,m){return a.hsb2rgb(c,b,m).hex});a.hsl=A(function(c,b,m){return a.hsl2rgb(c,\n",
|
||
"b,m).hex});a.rgb=A(function(c,a,b,m){if(y(m,\"finite\")){var e=I.round;return\"rgba(\"+[e(c),e(a),e(b),+m.toFixed(2)]+\")\"}return\"#\"+(16777216|b|a<<8|c<<16).toString(16).slice(1)});var T=function(c){var a=G.doc.getElementsByTagName(\"head\")[0]||G.doc.getElementsByTagName(\"svg\")[0];T=A(function(c){if(\"red\"==c.toLowerCase())return\"rgb(255, 0, 0)\";a.style.color=\"rgb(255, 0, 0)\";a.style.color=c;c=G.doc.defaultView.getComputedStyle(a,aa).getPropertyValue(\"color\");return\"rgb(255, 0, 0)\"==c?null:c});return T(c)},\n",
|
||
"qa=function(){return\"hsb(\"+[this.h,this.s,this.b]+\")\"},ra=function(){return\"hsl(\"+[this.h,this.s,this.l]+\")\"},ka=function(){return 1==this.opacity||null==this.opacity?this.hex:\"rgba(\"+[this.r,this.g,this.b,this.opacity]+\")\"},D=function(c,b,m){null==b&&y(c,\"object\")&&\"r\"in c&&\"g\"in c&&\"b\"in c&&(m=c.b,b=c.g,c=c.r);null==b&&y(c,string)&&(m=a.getRGB(c),c=m.r,b=m.g,m=m.b);if(1<c||1<b||1<m)c/=255,b/=255,m/=255;return[c,b,m]},oa=function(c,b,m,e){c=I.round(255*c);b=I.round(255*b);m=I.round(255*m);c={r:c,\n",
|
||
"g:b,b:m,opacity:y(e,\"finite\")?e:1,hex:a.rgb(c,b,m),toString:ka};y(e,\"finite\")&&(c.opacity=e);return c};a.color=function(c){var b;y(c,\"object\")&&\"h\"in c&&\"s\"in c&&\"b\"in c?(b=a.hsb2rgb(c),c.r=b.r,c.g=b.g,c.b=b.b,c.opacity=1,c.hex=b.hex):y(c,\"object\")&&\"h\"in c&&\"s\"in c&&\"l\"in c?(b=a.hsl2rgb(c),c.r=b.r,c.g=b.g,c.b=b.b,c.opacity=1,c.hex=b.hex):(y(c,\"string\")&&(c=a.getRGB(c)),y(c,\"object\")&&\"r\"in c&&\"g\"in c&&\"b\"in c&&!(\"error\"in c)?(b=a.rgb2hsl(c),c.h=b.h,c.s=b.s,c.l=b.l,b=a.rgb2hsb(c),c.v=b.b):(c={hex:\"none\"},\n",
|
||
"c.r=c.g=c.b=c.h=c.s=c.v=c.l=-1,c.error=1));c.toString=ka;return c};a.hsb2rgb=function(c,a,b,m){y(c,\"object\")&&\"h\"in c&&\"s\"in c&&\"b\"in c&&(b=c.b,a=c.s,c=c.h,m=c.o);var e,h,d;c=360*c%360/60;d=b*a;a=d*(1-Y(c%2-1));b=e=h=b-d;c=~~c;b+=[d,a,0,0,a,d][c];e+=[a,d,d,a,0,0][c];h+=[0,0,a,d,d,a][c];return oa(b,e,h,m)};a.hsl2rgb=function(c,a,b,m){y(c,\"object\")&&\"h\"in c&&\"s\"in c&&\"l\"in c&&(b=c.l,a=c.s,c=c.h);if(1<c||1<a||1<b)c/=360,a/=100,b/=100;var e,h,d;c=360*c%360/60;d=2*a*(0.5>b?b:1-b);a=d*(1-Y(c%2-1));b=e=\n",
|
||
"h=b-d/2;c=~~c;b+=[d,a,0,0,a,d][c];e+=[a,d,d,a,0,0][c];h+=[0,0,a,d,d,a][c];return oa(b,e,h,m)};a.rgb2hsb=function(c,a,b){b=D(c,a,b);c=b[0];a=b[1];b=b[2];var m,e;m=P(c,a,b);e=m-Q(c,a,b);c=((0==e?0:m==c?(a-b)/e:m==a?(b-c)/e+2:(c-a)/e+4)+360)%6*60/360;return{h:c,s:0==e?0:e/m,b:m,toString:qa}};a.rgb2hsl=function(c,a,b){b=D(c,a,b);c=b[0];a=b[1];b=b[2];var m,e,h;m=P(c,a,b);e=Q(c,a,b);h=m-e;c=((0==h?0:m==c?(a-b)/h:m==a?(b-c)/h+2:(c-a)/h+4)+360)%6*60/360;m=(m+e)/2;return{h:c,s:0==h?0:0.5>m?h/(2*m):h/(2-2*\n",
|
||
"m),l:m,toString:ra}};a.parsePathString=function(c){if(!c)return null;var b=a.path(c);if(b.arr)return a.path.clone(b.arr);var m={a:7,c:6,o:2,h:1,l:2,m:2,r:4,q:4,s:4,t:2,v:1,u:3,z:0},e=[];y(c,\"array\")&&y(c[0],\"array\")&&(e=a.path.clone(c));e.length||J(c).replace(W,function(c,a,b){var h=[];c=a.toLowerCase();b.replace(Z,function(c,a){a&&h.push(+a)});\"m\"==c&&2<h.length&&(e.push([a].concat(h.splice(0,2))),c=\"l\",a=\"m\"==a?\"l\":\"L\");\"o\"==c&&1==h.length&&e.push([a,h[0] ]);if(\"r\"==c)e.push([a].concat(h));else for(;h.length>=\n",
|
||
"m[c]&&(e.push([a].concat(h.splice(0,m[c]))),m[c]););});e.toString=a.path.toString;b.arr=a.path.clone(e);return e};var O=a.parseTransformString=function(c){if(!c)return null;var b=[];y(c,\"array\")&&y(c[0],\"array\")&&(b=a.path.clone(c));b.length||J(c).replace(ma,function(c,a,m){var e=[];a.toLowerCase();m.replace(Z,function(c,a){a&&e.push(+a)});b.push([a].concat(e))});b.toString=a.path.toString;return b};a._.svgTransform2string=d;a._.rgTransform=RegExp(\"^[a-z][\\t\\n\\x0B\\f\\r \\u00a0\\u1680\\u180e\\u2000\\u2001\\u2002\\u2003\\u2004\\u2005\\u2006\\u2007\\u2008\\u2009\\u200a\\u202f\\u205f\\u3000\\u2028\\u2029]*-?\\\\.?\\\\d\",\n",
|
||
"\"i\");a._.transform2matrix=f;a._unit2px=b;a._.getSomeDefs=u;a._.getSomeSVG=p;a.select=function(c){return x(G.doc.querySelector(c))};a.selectAll=function(c){c=G.doc.querySelectorAll(c);for(var b=(a.set||Array)(),m=0;m<c.length;m++)b.push(x(c[m]));return b};setInterval(function(){for(var c in E)if(E[h](c)){var a=E[c],b=a.node;(\"svg\"!=a.type&&!b.ownerSVGElement||\"svg\"==a.type&&(!b.parentNode||\"ownerSVGElement\"in b.parentNode&&!b.ownerSVGElement))&&delete E[c]}},1E4);(function(c){function m(c){function a(c,\n",
|
||
"b){var m=v(c.node,b);(m=(m=m&&m.match(d))&&m[2])&&\"#\"==m.charAt()&&(m=m.substring(1))&&(f[m]=(f[m]||[]).concat(function(a){var m={};m[b]=ca(a);v(c.node,m)}))}function b(c){var a=v(c.node,\"xlink:href\");a&&\"#\"==a.charAt()&&(a=a.substring(1))&&(f[a]=(f[a]||[]).concat(function(a){c.attr(\"xlink:href\",\"#\"+a)}))}var e=c.selectAll(\"*\"),h,d=/^\\s*url\\((\"|'|)(.*)\\1\\)\\s*$/;c=[];for(var f={},l=0,E=e.length;l<E;l++){h=e[l];a(h,\"fill\");a(h,\"stroke\");a(h,\"filter\");a(h,\"mask\");a(h,\"clip-path\");b(h);var t=v(h.node,\n",
|
||
"\"id\");t&&(v(h.node,{id:h.id}),c.push({old:t,id:h.id}))}l=0;for(E=c.length;l<E;l++)if(e=f[c[l].old])for(h=0,t=e.length;h<t;h++)e[h](c[l].id)}function e(c,a,b){return function(m){m=m.slice(c,a);1==m.length&&(m=m[0]);return b?b(m):m}}function d(c){return function(){var a=c?\"<\"+this.type:\"\",b=this.node.attributes,m=this.node.childNodes;if(c)for(var e=0,h=b.length;e<h;e++)a+=\" \"+b[e].name+'=\"'+b[e].value.replace(/\"/g,'\\\\\"')+'\"';if(m.length){c&&(a+=\">\");e=0;for(h=m.length;e<h;e++)3==m[e].nodeType?a+=m[e].nodeValue:\n",
|
||
"1==m[e].nodeType&&(a+=x(m[e]).toString());c&&(a+=\"</\"+this.type+\">\")}else c&&(a+=\"/>\");return a}}c.attr=function(c,a){if(!c)return this;if(y(c,\"string\"))if(1<arguments.length){var b={};b[c]=a;c=b}else return k(\"snap.util.getattr.\"+c,this).firstDefined();for(var m in c)c[h](m)&&k(\"snap.util.attr.\"+m,this,c[m]);return this};c.getBBox=function(c){if(!a.Matrix||!a.path)return this.node.getBBox();var b=this,m=new a.Matrix;if(b.removed)return a._.box();for(;\"use\"==b.type;)if(c||(m=m.add(b.transform().localMatrix.translate(b.attr(\"x\")||\n",
|
||
"0,b.attr(\"y\")||0))),b.original)b=b.original;else var e=b.attr(\"xlink:href\"),b=b.original=b.node.ownerDocument.getElementById(e.substring(e.indexOf(\"#\")+1));var e=b._,h=a.path.get[b.type]||a.path.get.deflt;try{if(c)return e.bboxwt=h?a.path.getBBox(b.realPath=h(b)):a._.box(b.node.getBBox()),a._.box(e.bboxwt);b.realPath=h(b);b.matrix=b.transform().localMatrix;e.bbox=a.path.getBBox(a.path.map(b.realPath,m.add(b.matrix)));return a._.box(e.bbox)}catch(d){return a._.box()}};var f=function(){return this.string};\n",
|
||
"c.transform=function(c){var b=this._;if(null==c){var m=this;c=new a.Matrix(this.node.getCTM());for(var e=n(this),h=[e],d=new a.Matrix,l=e.toTransformString(),b=J(e)==J(this.matrix)?J(b.transform):l;\"svg\"!=m.type&&(m=m.parent());)h.push(n(m));for(m=h.length;m--;)d.add(h[m]);return{string:b,globalMatrix:c,totalMatrix:d,localMatrix:e,diffMatrix:c.clone().add(e.invert()),global:c.toTransformString(),total:d.toTransformString(),local:l,toString:f}}c instanceof a.Matrix?this.matrix=c:n(this,c);this.node&&\n",
|
||
"(\"linearGradient\"==this.type||\"radialGradient\"==this.type?v(this.node,{gradientTransform:this.matrix}):\"pattern\"==this.type?v(this.node,{patternTransform:this.matrix}):v(this.node,{transform:this.matrix}));return this};c.parent=function(){return x(this.node.parentNode)};c.append=c.add=function(c){if(c){if(\"set\"==c.type){var a=this;c.forEach(function(c){a.add(c)});return this}c=x(c);this.node.appendChild(c.node);c.paper=this.paper}return this};c.appendTo=function(c){c&&(c=x(c),c.append(this));return this};\n",
|
||
"c.prepend=function(c){if(c){if(\"set\"==c.type){var a=this,b;c.forEach(function(c){b?b.after(c):a.prepend(c);b=c});return this}c=x(c);var m=c.parent();this.node.insertBefore(c.node,this.node.firstChild);this.add&&this.add();c.paper=this.paper;this.parent()&&this.parent().add();m&&m.add()}return this};c.prependTo=function(c){c=x(c);c.prepend(this);return this};c.before=function(c){if(\"set\"==c.type){var a=this;c.forEach(function(c){var b=c.parent();a.node.parentNode.insertBefore(c.node,a.node);b&&b.add()});\n",
|
||
"this.parent().add();return this}c=x(c);var b=c.parent();this.node.parentNode.insertBefore(c.node,this.node);this.parent()&&this.parent().add();b&&b.add();c.paper=this.paper;return this};c.after=function(c){c=x(c);var a=c.parent();this.node.nextSibling?this.node.parentNode.insertBefore(c.node,this.node.nextSibling):this.node.parentNode.appendChild(c.node);this.parent()&&this.parent().add();a&&a.add();c.paper=this.paper;return this};c.insertBefore=function(c){c=x(c);var a=this.parent();c.node.parentNode.insertBefore(this.node,\n",
|
||
"c.node);this.paper=c.paper;a&&a.add();c.parent()&&c.parent().add();return this};c.insertAfter=function(c){c=x(c);var a=this.parent();c.node.parentNode.insertBefore(this.node,c.node.nextSibling);this.paper=c.paper;a&&a.add();c.parent()&&c.parent().add();return this};c.remove=function(){var c=this.parent();this.node.parentNode&&this.node.parentNode.removeChild(this.node);delete this.paper;this.removed=!0;c&&c.add();return this};c.select=function(c){return x(this.node.querySelector(c))};c.selectAll=\n",
|
||
"function(c){c=this.node.querySelectorAll(c);for(var b=(a.set||Array)(),m=0;m<c.length;m++)b.push(x(c[m]));return b};c.asPX=function(c,a){null==a&&(a=this.attr(c));return+b(this,c,a)};c.use=function(){var c,a=this.node.id;a||(a=this.id,v(this.node,{id:a}));c=\"linearGradient\"==this.type||\"radialGradient\"==this.type||\"pattern\"==this.type?r(this.type,this.node.parentNode):r(\"use\",this.node.parentNode);v(c.node,{\"xlink:href\":\"#\"+a});c.original=this;return c};var l=/\\S+/g;c.addClass=function(c){var a=(c||\n",
|
||
"\"\").match(l)||[];c=this.node;var b=c.className.baseVal,m=b.match(l)||[],e,h,d;if(a.length){for(e=0;d=a[e++];)h=m.indexOf(d),~h||m.push(d);a=m.join(\" \");b!=a&&(c.className.baseVal=a)}return this};c.removeClass=function(c){var a=(c||\"\").match(l)||[];c=this.node;var b=c.className.baseVal,m=b.match(l)||[],e,h;if(m.length){for(e=0;h=a[e++];)h=m.indexOf(h),~h&&m.splice(h,1);a=m.join(\" \");b!=a&&(c.className.baseVal=a)}return this};c.hasClass=function(c){return!!~(this.node.className.baseVal.match(l)||[]).indexOf(c)};\n",
|
||
"c.toggleClass=function(c,a){if(null!=a)return a?this.addClass(c):this.removeClass(c);var b=(c||\"\").match(l)||[],m=this.node,e=m.className.baseVal,h=e.match(l)||[],d,f,E;for(d=0;E=b[d++];)f=h.indexOf(E),~f?h.splice(f,1):h.push(E);b=h.join(\" \");e!=b&&(m.className.baseVal=b);return this};c.clone=function(){var c=x(this.node.cloneNode(!0));v(c.node,\"id\")&&v(c.node,{id:c.id});m(c);c.insertAfter(this);return c};c.toDefs=function(){u(this).appendChild(this.node);return this};c.pattern=c.toPattern=function(c,\n",
|
||
"a,b,m){var e=r(\"pattern\",u(this));null==c&&(c=this.getBBox());y(c,\"object\")&&\"x\"in c&&(a=c.y,b=c.width,m=c.height,c=c.x);v(e.node,{x:c,y:a,width:b,height:m,patternUnits:\"userSpaceOnUse\",id:e.id,viewBox:[c,a,b,m].join(\" \")});e.node.appendChild(this.node);return e};c.marker=function(c,a,b,m,e,h){var d=r(\"marker\",u(this));null==c&&(c=this.getBBox());y(c,\"object\")&&\"x\"in c&&(a=c.y,b=c.width,m=c.height,e=c.refX||c.cx,h=c.refY||c.cy,c=c.x);v(d.node,{viewBox:[c,a,b,m].join(\" \"),markerWidth:b,markerHeight:m,\n",
|
||
"orient:\"auto\",refX:e||0,refY:h||0,id:d.id});d.node.appendChild(this.node);return d};var E=function(c,a,b,m){\"function\"!=typeof b||b.length||(m=b,b=L.linear);this.attr=c;this.dur=a;b&&(this.easing=b);m&&(this.callback=m)};a._.Animation=E;a.animation=function(c,a,b,m){return new E(c,a,b,m)};c.inAnim=function(){var c=[],a;for(a in this.anims)this.anims[h](a)&&function(a){c.push({anim:new E(a._attrs,a.dur,a.easing,a._callback),mina:a,curStatus:a.status(),status:function(c){return a.status(c)},stop:function(){a.stop()}})}(this.anims[a]);\n",
|
||
"return c};a.animate=function(c,a,b,m,e,h){\"function\"!=typeof e||e.length||(h=e,e=L.linear);var d=L.time();c=L(c,a,d,d+m,L.time,b,e);h&&k.once(\"mina.finish.\"+c.id,h);return c};c.stop=function(){for(var c=this.inAnim(),a=0,b=c.length;a<b;a++)c[a].stop();return this};c.animate=function(c,a,b,m){\"function\"!=typeof b||b.length||(m=b,b=L.linear);c instanceof E&&(m=c.callback,b=c.easing,a=b.dur,c=c.attr);var d=[],f=[],l={},t,ca,n,T=this,q;for(q in c)if(c[h](q)){T.equal?(n=T.equal(q,J(c[q])),t=n.from,ca=\n",
|
||
"n.to,n=n.f):(t=+T.attr(q),ca=+c[q]);var la=y(t,\"array\")?t.length:1;l[q]=e(d.length,d.length+la,n);d=d.concat(t);f=f.concat(ca)}t=L.time();var p=L(d,f,t,t+a,L.time,function(c){var a={},b;for(b in l)l[h](b)&&(a[b]=l[b](c));T.attr(a)},b);T.anims[p.id]=p;p._attrs=c;p._callback=m;k(\"snap.animcreated.\"+T.id,p);k.once(\"mina.finish.\"+p.id,function(){delete T.anims[p.id];m&&m.call(T)});k.once(\"mina.stop.\"+p.id,function(){delete T.anims[p.id]});return T};var T={};c.data=function(c,b){var m=T[this.id]=T[this.id]||\n",
|
||
"{};if(0==arguments.length)return k(\"snap.data.get.\"+this.id,this,m,null),m;if(1==arguments.length){if(a.is(c,\"object\")){for(var e in c)c[h](e)&&this.data(e,c[e]);return this}k(\"snap.data.get.\"+this.id,this,m[c],c);return m[c]}m[c]=b;k(\"snap.data.set.\"+this.id,this,b,c);return this};c.removeData=function(c){null==c?T[this.id]={}:T[this.id]&&delete T[this.id][c];return this};c.outerSVG=c.toString=d(1);c.innerSVG=d()})(e.prototype);a.parse=function(c){var a=G.doc.createDocumentFragment(),b=!0,m=G.doc.createElement(\"div\");\n",
|
||
"c=J(c);c.match(/^\\s*<\\s*svg(?:\\s|>)/)||(c=\"<svg>\"+c+\"</svg>\",b=!1);m.innerHTML=c;if(c=m.getElementsByTagName(\"svg\")[0])if(b)a=c;else for(;c.firstChild;)a.appendChild(c.firstChild);m.innerHTML=aa;return new l(a)};l.prototype.select=e.prototype.select;l.prototype.selectAll=e.prototype.selectAll;a.fragment=function(){for(var c=Array.prototype.slice.call(arguments,0),b=G.doc.createDocumentFragment(),m=0,e=c.length;m<e;m++){var h=c[m];h.node&&h.node.nodeType&&b.appendChild(h.node);h.nodeType&&b.appendChild(h);\n",
|
||
"\"string\"==typeof h&&b.appendChild(a.parse(h).node)}return new l(b)};a._.make=r;a._.wrap=x;s.prototype.el=function(c,a){var b=r(c,this.node);a&&b.attr(a);return b};k.on(\"snap.util.getattr\",function(){var c=k.nt(),c=c.substring(c.lastIndexOf(\".\")+1),a=c.replace(/[A-Z]/g,function(c){return\"-\"+c.toLowerCase()});return pa[h](a)?this.node.ownerDocument.defaultView.getComputedStyle(this.node,null).getPropertyValue(a):v(this.node,c)});var pa={\"alignment-baseline\":0,\"baseline-shift\":0,clip:0,\"clip-path\":0,\n",
|
||
"\"clip-rule\":0,color:0,\"color-interpolation\":0,\"color-interpolation-filters\":0,\"color-profile\":0,\"color-rendering\":0,cursor:0,direction:0,display:0,\"dominant-baseline\":0,\"enable-background\":0,fill:0,\"fill-opacity\":0,\"fill-rule\":0,filter:0,\"flood-color\":0,\"flood-opacity\":0,font:0,\"font-family\":0,\"font-size\":0,\"font-size-adjust\":0,\"font-stretch\":0,\"font-style\":0,\"font-variant\":0,\"font-weight\":0,\"glyph-orientation-horizontal\":0,\"glyph-orientation-vertical\":0,\"image-rendering\":0,kerning:0,\"letter-spacing\":0,\n",
|
||
"\"lighting-color\":0,marker:0,\"marker-end\":0,\"marker-mid\":0,\"marker-start\":0,mask:0,opacity:0,overflow:0,\"pointer-events\":0,\"shape-rendering\":0,\"stop-color\":0,\"stop-opacity\":0,stroke:0,\"stroke-dasharray\":0,\"stroke-dashoffset\":0,\"stroke-linecap\":0,\"stroke-linejoin\":0,\"stroke-miterlimit\":0,\"stroke-opacity\":0,\"stroke-width\":0,\"text-anchor\":0,\"text-decoration\":0,\"text-rendering\":0,\"unicode-bidi\":0,visibility:0,\"word-spacing\":0,\"writing-mode\":0};k.on(\"snap.util.attr\",function(c){var a=k.nt(),b={},a=a.substring(a.lastIndexOf(\".\")+\n",
|
||
"1);b[a]=c;var m=a.replace(/-(\\w)/gi,function(c,a){return a.toUpperCase()}),a=a.replace(/[A-Z]/g,function(c){return\"-\"+c.toLowerCase()});pa[h](a)?this.node.style[m]=null==c?aa:c:v(this.node,b)});a.ajax=function(c,a,b,m){var e=new XMLHttpRequest,h=V();if(e){if(y(a,\"function\"))m=b,b=a,a=null;else if(y(a,\"object\")){var d=[],f;for(f in a)a.hasOwnProperty(f)&&d.push(encodeURIComponent(f)+\"=\"+encodeURIComponent(a[f]));a=d.join(\"&\")}e.open(a?\"POST\":\"GET\",c,!0);a&&(e.setRequestHeader(\"X-Requested-With\",\"XMLHttpRequest\"),\n",
|
||
"e.setRequestHeader(\"Content-type\",\"application/x-www-form-urlencoded\"));b&&(k.once(\"snap.ajax.\"+h+\".0\",b),k.once(\"snap.ajax.\"+h+\".200\",b),k.once(\"snap.ajax.\"+h+\".304\",b));e.onreadystatechange=function(){4==e.readyState&&k(\"snap.ajax.\"+h+\".\"+e.status,m,e)};if(4==e.readyState)return e;e.send(a);return e}};a.load=function(c,b,m){a.ajax(c,function(c){c=a.parse(c.responseText);m?b.call(m,c):b(c)})};a.getElementByPoint=function(c,a){var b,m,e=G.doc.elementFromPoint(c,a);if(G.win.opera&&\"svg\"==e.tagName){b=\n",
|
||
"e;m=b.getBoundingClientRect();b=b.ownerDocument;var h=b.body,d=b.documentElement;b=m.top+(g.win.pageYOffset||d.scrollTop||h.scrollTop)-(d.clientTop||h.clientTop||0);m=m.left+(g.win.pageXOffset||d.scrollLeft||h.scrollLeft)-(d.clientLeft||h.clientLeft||0);h=e.createSVGRect();h.x=c-m;h.y=a-b;h.width=h.height=1;b=e.getIntersectionList(h,null);b.length&&(e=b[b.length-1])}return e?x(e):null};a.plugin=function(c){c(a,e,s,G,l)};return G.win.Snap=a}();C.plugin(function(a,k,y,M,A){function w(a,d,f,b,q,e){null==\n",
|
||
"d&&\"[object SVGMatrix]\"==z.call(a)?(this.a=a.a,this.b=a.b,this.c=a.c,this.d=a.d,this.e=a.e,this.f=a.f):null!=a?(this.a=+a,this.b=+d,this.c=+f,this.d=+b,this.e=+q,this.f=+e):(this.a=1,this.c=this.b=0,this.d=1,this.f=this.e=0)}var z=Object.prototype.toString,d=String,f=Math;(function(n){function k(a){return a[0]*a[0]+a[1]*a[1]}function p(a){var d=f.sqrt(k(a));a[0]&&(a[0]/=d);a[1]&&(a[1]/=d)}n.add=function(a,d,e,f,n,p){var k=[[],[],[] ],u=[[this.a,this.c,this.e],[this.b,this.d,this.f],[0,0,1] ];d=[[a,\n",
|
||
"e,n],[d,f,p],[0,0,1] ];a&&a instanceof w&&(d=[[a.a,a.c,a.e],[a.b,a.d,a.f],[0,0,1] ]);for(a=0;3>a;a++)for(e=0;3>e;e++){for(f=n=0;3>f;f++)n+=u[a][f]*d[f][e];k[a][e]=n}this.a=k[0][0];this.b=k[1][0];this.c=k[0][1];this.d=k[1][1];this.e=k[0][2];this.f=k[1][2];return this};n.invert=function(){var a=this.a*this.d-this.b*this.c;return new w(this.d/a,-this.b/a,-this.c/a,this.a/a,(this.c*this.f-this.d*this.e)/a,(this.b*this.e-this.a*this.f)/a)};n.clone=function(){return new w(this.a,this.b,this.c,this.d,this.e,\n",
|
||
"this.f)};n.translate=function(a,d){return this.add(1,0,0,1,a,d)};n.scale=function(a,d,e,f){null==d&&(d=a);(e||f)&&this.add(1,0,0,1,e,f);this.add(a,0,0,d,0,0);(e||f)&&this.add(1,0,0,1,-e,-f);return this};n.rotate=function(b,d,e){b=a.rad(b);d=d||0;e=e||0;var l=+f.cos(b).toFixed(9);b=+f.sin(b).toFixed(9);this.add(l,b,-b,l,d,e);return this.add(1,0,0,1,-d,-e)};n.x=function(a,d){return a*this.a+d*this.c+this.e};n.y=function(a,d){return a*this.b+d*this.d+this.f};n.get=function(a){return+this[d.fromCharCode(97+\n",
|
||
"a)].toFixed(4)};n.toString=function(){return\"matrix(\"+[this.get(0),this.get(1),this.get(2),this.get(3),this.get(4),this.get(5)].join()+\")\"};n.offset=function(){return[this.e.toFixed(4),this.f.toFixed(4)]};n.determinant=function(){return this.a*this.d-this.b*this.c};n.split=function(){var b={};b.dx=this.e;b.dy=this.f;var d=[[this.a,this.c],[this.b,this.d] ];b.scalex=f.sqrt(k(d[0]));p(d[0]);b.shear=d[0][0]*d[1][0]+d[0][1]*d[1][1];d[1]=[d[1][0]-d[0][0]*b.shear,d[1][1]-d[0][1]*b.shear];b.scaley=f.sqrt(k(d[1]));\n",
|
||
"p(d[1]);b.shear/=b.scaley;0>this.determinant()&&(b.scalex=-b.scalex);var e=-d[0][1],d=d[1][1];0>d?(b.rotate=a.deg(f.acos(d)),0>e&&(b.rotate=360-b.rotate)):b.rotate=a.deg(f.asin(e));b.isSimple=!+b.shear.toFixed(9)&&(b.scalex.toFixed(9)==b.scaley.toFixed(9)||!b.rotate);b.isSuperSimple=!+b.shear.toFixed(9)&&b.scalex.toFixed(9)==b.scaley.toFixed(9)&&!b.rotate;b.noRotation=!+b.shear.toFixed(9)&&!b.rotate;return b};n.toTransformString=function(a){a=a||this.split();if(+a.shear.toFixed(9))return\"m\"+[this.get(0),\n",
|
||
"this.get(1),this.get(2),this.get(3),this.get(4),this.get(5)];a.scalex=+a.scalex.toFixed(4);a.scaley=+a.scaley.toFixed(4);a.rotate=+a.rotate.toFixed(4);return(a.dx||a.dy?\"t\"+[+a.dx.toFixed(4),+a.dy.toFixed(4)]:\"\")+(1!=a.scalex||1!=a.scaley?\"s\"+[a.scalex,a.scaley,0,0]:\"\")+(a.rotate?\"r\"+[+a.rotate.toFixed(4),0,0]:\"\")}})(w.prototype);a.Matrix=w;a.matrix=function(a,d,f,b,k,e){return new w(a,d,f,b,k,e)}});C.plugin(function(a,v,y,M,A){function w(h){return function(d){k.stop();d instanceof A&&1==d.node.childNodes.length&&\n",
|
||
"(\"radialGradient\"==d.node.firstChild.tagName||\"linearGradient\"==d.node.firstChild.tagName||\"pattern\"==d.node.firstChild.tagName)&&(d=d.node.firstChild,b(this).appendChild(d),d=u(d));if(d instanceof v)if(\"radialGradient\"==d.type||\"linearGradient\"==d.type||\"pattern\"==d.type){d.node.id||e(d.node,{id:d.id});var f=l(d.node.id)}else f=d.attr(h);else f=a.color(d),f.error?(f=a(b(this).ownerSVGElement).gradient(d))?(f.node.id||e(f.node,{id:f.id}),f=l(f.node.id)):f=d:f=r(f);d={};d[h]=f;e(this.node,d);this.node.style[h]=\n",
|
||
"x}}function z(a){k.stop();a==+a&&(a+=\"px\");this.node.style.fontSize=a}function d(a){var b=[];a=a.childNodes;for(var e=0,f=a.length;e<f;e++){var l=a[e];3==l.nodeType&&b.push(l.nodeValue);\"tspan\"==l.tagName&&(1==l.childNodes.length&&3==l.firstChild.nodeType?b.push(l.firstChild.nodeValue):b.push(d(l)))}return b}function f(){k.stop();return this.node.style.fontSize}var n=a._.make,u=a._.wrap,p=a.is,b=a._.getSomeDefs,q=/^url\\(#?([^)]+)\\)$/,e=a._.$,l=a.url,r=String,s=a._.separator,x=\"\";k.on(\"snap.util.attr.mask\",\n",
|
||
"function(a){if(a instanceof v||a instanceof A){k.stop();a instanceof A&&1==a.node.childNodes.length&&(a=a.node.firstChild,b(this).appendChild(a),a=u(a));if(\"mask\"==a.type)var d=a;else d=n(\"mask\",b(this)),d.node.appendChild(a.node);!d.node.id&&e(d.node,{id:d.id});e(this.node,{mask:l(d.id)})}});(function(a){k.on(\"snap.util.attr.clip\",a);k.on(\"snap.util.attr.clip-path\",a);k.on(\"snap.util.attr.clipPath\",a)})(function(a){if(a instanceof v||a instanceof A){k.stop();if(\"clipPath\"==a.type)var d=a;else d=\n",
|
||
"n(\"clipPath\",b(this)),d.node.appendChild(a.node),!d.node.id&&e(d.node,{id:d.id});e(this.node,{\"clip-path\":l(d.id)})}});k.on(\"snap.util.attr.fill\",w(\"fill\"));k.on(\"snap.util.attr.stroke\",w(\"stroke\"));var G=/^([lr])(?:\\(([^)]*)\\))?(.*)$/i;k.on(\"snap.util.grad.parse\",function(a){a=r(a);var b=a.match(G);if(!b)return null;a=b[1];var e=b[2],b=b[3],e=e.split(/\\s*,\\s*/).map(function(a){return+a==a?+a:a});1==e.length&&0==e[0]&&(e=[]);b=b.split(\"-\");b=b.map(function(a){a=a.split(\":\");var b={color:a[0]};a[1]&&\n",
|
||
"(b.offset=parseFloat(a[1]));return b});return{type:a,params:e,stops:b}});k.on(\"snap.util.attr.d\",function(b){k.stop();p(b,\"array\")&&p(b[0],\"array\")&&(b=a.path.toString.call(b));b=r(b);b.match(/[ruo]/i)&&(b=a.path.toAbsolute(b));e(this.node,{d:b})})(-1);k.on(\"snap.util.attr.#text\",function(a){k.stop();a=r(a);for(a=M.doc.createTextNode(a);this.node.firstChild;)this.node.removeChild(this.node.firstChild);this.node.appendChild(a)})(-1);k.on(\"snap.util.attr.path\",function(a){k.stop();this.attr({d:a})})(-1);\n",
|
||
"k.on(\"snap.util.attr.class\",function(a){k.stop();this.node.className.baseVal=a})(-1);k.on(\"snap.util.attr.viewBox\",function(a){a=p(a,\"object\")&&\"x\"in a?[a.x,a.y,a.width,a.height].join(\" \"):p(a,\"array\")?a.join(\" \"):a;e(this.node,{viewBox:a});k.stop()})(-1);k.on(\"snap.util.attr.transform\",function(a){this.transform(a);k.stop()})(-1);k.on(\"snap.util.attr.r\",function(a){\"rect\"==this.type&&(k.stop(),e(this.node,{rx:a,ry:a}))})(-1);k.on(\"snap.util.attr.textpath\",function(a){k.stop();if(\"text\"==this.type){var d,\n",
|
||
"f;if(!a&&this.textPath){for(a=this.textPath;a.node.firstChild;)this.node.appendChild(a.node.firstChild);a.remove();delete this.textPath}else if(p(a,\"string\")?(d=b(this),a=u(d.parentNode).path(a),d.appendChild(a.node),d=a.id,a.attr({id:d})):(a=u(a),a instanceof v&&(d=a.attr(\"id\"),d||(d=a.id,a.attr({id:d})))),d)if(a=this.textPath,f=this.node,a)a.attr({\"xlink:href\":\"#\"+d});else{for(a=e(\"textPath\",{\"xlink:href\":\"#\"+d});f.firstChild;)a.appendChild(f.firstChild);f.appendChild(a);this.textPath=u(a)}}})(-1);\n",
|
||
"k.on(\"snap.util.attr.text\",function(a){if(\"text\"==this.type){for(var b=this.node,d=function(a){var b=e(\"tspan\");if(p(a,\"array\"))for(var f=0;f<a.length;f++)b.appendChild(d(a[f]));else b.appendChild(M.doc.createTextNode(a));b.normalize&&b.normalize();return b};b.firstChild;)b.removeChild(b.firstChild);for(a=d(a);a.firstChild;)b.appendChild(a.firstChild)}k.stop()})(-1);k.on(\"snap.util.attr.fontSize\",z)(-1);k.on(\"snap.util.attr.font-size\",z)(-1);k.on(\"snap.util.getattr.transform\",function(){k.stop();\n",
|
||
"return this.transform()})(-1);k.on(\"snap.util.getattr.textpath\",function(){k.stop();return this.textPath})(-1);(function(){function b(d){return function(){k.stop();var b=M.doc.defaultView.getComputedStyle(this.node,null).getPropertyValue(\"marker-\"+d);return\"none\"==b?b:a(M.doc.getElementById(b.match(q)[1]))}}function d(a){return function(b){k.stop();var d=\"marker\"+a.charAt(0).toUpperCase()+a.substring(1);if(\"\"==b||!b)this.node.style[d]=\"none\";else if(\"marker\"==b.type){var f=b.node.id;f||e(b.node,{id:b.id});\n",
|
||
"this.node.style[d]=l(f)}}}k.on(\"snap.util.getattr.marker-end\",b(\"end\"))(-1);k.on(\"snap.util.getattr.markerEnd\",b(\"end\"))(-1);k.on(\"snap.util.getattr.marker-start\",b(\"start\"))(-1);k.on(\"snap.util.getattr.markerStart\",b(\"start\"))(-1);k.on(\"snap.util.getattr.marker-mid\",b(\"mid\"))(-1);k.on(\"snap.util.getattr.markerMid\",b(\"mid\"))(-1);k.on(\"snap.util.attr.marker-end\",d(\"end\"))(-1);k.on(\"snap.util.attr.markerEnd\",d(\"end\"))(-1);k.on(\"snap.util.attr.marker-start\",d(\"start\"))(-1);k.on(\"snap.util.attr.markerStart\",\n",
|
||
"d(\"start\"))(-1);k.on(\"snap.util.attr.marker-mid\",d(\"mid\"))(-1);k.on(\"snap.util.attr.markerMid\",d(\"mid\"))(-1)})();k.on(\"snap.util.getattr.r\",function(){if(\"rect\"==this.type&&e(this.node,\"rx\")==e(this.node,\"ry\"))return k.stop(),e(this.node,\"rx\")})(-1);k.on(\"snap.util.getattr.text\",function(){if(\"text\"==this.type||\"tspan\"==this.type){k.stop();var a=d(this.node);return 1==a.length?a[0]:a}})(-1);k.on(\"snap.util.getattr.#text\",function(){return this.node.textContent})(-1);k.on(\"snap.util.getattr.viewBox\",\n",
|
||
"function(){k.stop();var b=e(this.node,\"viewBox\");if(b)return b=b.split(s),a._.box(+b[0],+b[1],+b[2],+b[3])})(-1);k.on(\"snap.util.getattr.points\",function(){var a=e(this.node,\"points\");k.stop();if(a)return a.split(s)})(-1);k.on(\"snap.util.getattr.path\",function(){var a=e(this.node,\"d\");k.stop();return a})(-1);k.on(\"snap.util.getattr.class\",function(){return this.node.className.baseVal})(-1);k.on(\"snap.util.getattr.fontSize\",f)(-1);k.on(\"snap.util.getattr.font-size\",f)(-1)});C.plugin(function(a,v,y,\n",
|
||
"M,A){function w(a){return a}function z(a){return function(b){return+b.toFixed(3)+a}}var d={\"+\":function(a,b){return a+b},\"-\":function(a,b){return a-b},\"/\":function(a,b){return a/b},\"*\":function(a,b){return a*b}},f=String,n=/[a-z]+$/i,u=/^\\s*([+\\-\\/*])\\s*=\\s*([\\d.eE+\\-]+)\\s*([^\\d\\s]+)?\\s*$/;k.on(\"snap.util.attr\",function(a){if(a=f(a).match(u)){var b=k.nt(),b=b.substring(b.lastIndexOf(\".\")+1),q=this.attr(b),e={};k.stop();var l=a[3]||\"\",r=q.match(n),s=d[a[1] ];r&&r==l?a=s(parseFloat(q),+a[2]):(q=this.asPX(b),\n",
|
||
"a=s(this.asPX(b),this.asPX(b,a[2]+l)));isNaN(q)||isNaN(a)||(e[b]=a,this.attr(e))}})(-10);k.on(\"snap.util.equal\",function(a,b){var q=f(this.attr(a)||\"\"),e=f(b).match(u);if(e){k.stop();var l=e[3]||\"\",r=q.match(n),s=d[e[1] ];if(r&&r==l)return{from:parseFloat(q),to:s(parseFloat(q),+e[2]),f:z(r)};q=this.asPX(a);return{from:q,to:s(q,this.asPX(a,e[2]+l)),f:w}}})(-10)});C.plugin(function(a,v,y,M,A){var w=y.prototype,z=a.is;w.rect=function(a,d,k,p,b,q){var e;null==q&&(q=b);z(a,\"object\")&&\"[object Object]\"==\n",
|
||
"a?e=a:null!=a&&(e={x:a,y:d,width:k,height:p},null!=b&&(e.rx=b,e.ry=q));return this.el(\"rect\",e)};w.circle=function(a,d,k){var p;z(a,\"object\")&&\"[object Object]\"==a?p=a:null!=a&&(p={cx:a,cy:d,r:k});return this.el(\"circle\",p)};var d=function(){function a(){this.parentNode.removeChild(this)}return function(d,k){var p=M.doc.createElement(\"img\"),b=M.doc.body;p.style.cssText=\"position:absolute;left:-9999em;top:-9999em\";p.onload=function(){k.call(p);p.onload=p.onerror=null;b.removeChild(p)};p.onerror=a;\n",
|
||
"b.appendChild(p);p.src=d}}();w.image=function(f,n,k,p,b){var q=this.el(\"image\");if(z(f,\"object\")&&\"src\"in f)q.attr(f);else if(null!=f){var e={\"xlink:href\":f,preserveAspectRatio:\"none\"};null!=n&&null!=k&&(e.x=n,e.y=k);null!=p&&null!=b?(e.width=p,e.height=b):d(f,function(){a._.$(q.node,{width:this.offsetWidth,height:this.offsetHeight})});a._.$(q.node,e)}return q};w.ellipse=function(a,d,k,p){var b;z(a,\"object\")&&\"[object Object]\"==a?b=a:null!=a&&(b={cx:a,cy:d,rx:k,ry:p});return this.el(\"ellipse\",b)};\n",
|
||
"w.path=function(a){var d;z(a,\"object\")&&!z(a,\"array\")?d=a:a&&(d={d:a});return this.el(\"path\",d)};w.group=w.g=function(a){var d=this.el(\"g\");1==arguments.length&&a&&!a.type?d.attr(a):arguments.length&&d.add(Array.prototype.slice.call(arguments,0));return d};w.svg=function(a,d,k,p,b,q,e,l){var r={};z(a,\"object\")&&null==d?r=a:(null!=a&&(r.x=a),null!=d&&(r.y=d),null!=k&&(r.width=k),null!=p&&(r.height=p),null!=b&&null!=q&&null!=e&&null!=l&&(r.viewBox=[b,q,e,l]));return this.el(\"svg\",r)};w.mask=function(a){var d=\n",
|
||
"this.el(\"mask\");1==arguments.length&&a&&!a.type?d.attr(a):arguments.length&&d.add(Array.prototype.slice.call(arguments,0));return d};w.ptrn=function(a,d,k,p,b,q,e,l){if(z(a,\"object\"))var r=a;else arguments.length?(r={},null!=a&&(r.x=a),null!=d&&(r.y=d),null!=k&&(r.width=k),null!=p&&(r.height=p),null!=b&&null!=q&&null!=e&&null!=l&&(r.viewBox=[b,q,e,l])):r={patternUnits:\"userSpaceOnUse\"};return this.el(\"pattern\",r)};w.use=function(a){return null!=a?(make(\"use\",this.node),a instanceof v&&(a.attr(\"id\")||\n",
|
||
"a.attr({id:ID()}),a=a.attr(\"id\")),this.el(\"use\",{\"xlink:href\":a})):v.prototype.use.call(this)};w.text=function(a,d,k){var p={};z(a,\"object\")?p=a:null!=a&&(p={x:a,y:d,text:k||\"\"});return this.el(\"text\",p)};w.line=function(a,d,k,p){var b={};z(a,\"object\")?b=a:null!=a&&(b={x1:a,x2:k,y1:d,y2:p});return this.el(\"line\",b)};w.polyline=function(a){1<arguments.length&&(a=Array.prototype.slice.call(arguments,0));var d={};z(a,\"object\")&&!z(a,\"array\")?d=a:null!=a&&(d={points:a});return this.el(\"polyline\",d)};\n",
|
||
"w.polygon=function(a){1<arguments.length&&(a=Array.prototype.slice.call(arguments,0));var d={};z(a,\"object\")&&!z(a,\"array\")?d=a:null!=a&&(d={points:a});return this.el(\"polygon\",d)};(function(){function d(){return this.selectAll(\"stop\")}function n(b,d){var f=e(\"stop\"),k={offset:+d+\"%\"};b=a.color(b);k[\"stop-color\"]=b.hex;1>b.opacity&&(k[\"stop-opacity\"]=b.opacity);e(f,k);this.node.appendChild(f);return this}function u(){if(\"linearGradient\"==this.type){var b=e(this.node,\"x1\")||0,d=e(this.node,\"x2\")||\n",
|
||
"1,f=e(this.node,\"y1\")||0,k=e(this.node,\"y2\")||0;return a._.box(b,f,math.abs(d-b),math.abs(k-f))}b=this.node.r||0;return a._.box((this.node.cx||0.5)-b,(this.node.cy||0.5)-b,2*b,2*b)}function p(a,d){function f(a,b){for(var d=(b-u)/(a-w),e=w;e<a;e++)h[e].offset=+(+u+d*(e-w)).toFixed(2);w=a;u=b}var n=k(\"snap.util.grad.parse\",null,d).firstDefined(),p;if(!n)return null;n.params.unshift(a);p=\"l\"==n.type.toLowerCase()?b.apply(0,n.params):q.apply(0,n.params);n.type!=n.type.toLowerCase()&&e(p.node,{gradientUnits:\"userSpaceOnUse\"});\n",
|
||
"var h=n.stops,n=h.length,u=0,w=0;n--;for(var v=0;v<n;v++)\"offset\"in h[v]&&f(v,h[v].offset);h[n].offset=h[n].offset||100;f(n,h[n].offset);for(v=0;v<=n;v++){var y=h[v];p.addStop(y.color,y.offset)}return p}function b(b,k,p,q,w){b=a._.make(\"linearGradient\",b);b.stops=d;b.addStop=n;b.getBBox=u;null!=k&&e(b.node,{x1:k,y1:p,x2:q,y2:w});return b}function q(b,k,p,q,w,h){b=a._.make(\"radialGradient\",b);b.stops=d;b.addStop=n;b.getBBox=u;null!=k&&e(b.node,{cx:k,cy:p,r:q});null!=w&&null!=h&&e(b.node,{fx:w,fy:h});\n",
|
||
"return b}var e=a._.$;w.gradient=function(a){return p(this.defs,a)};w.gradientLinear=function(a,d,e,f){return b(this.defs,a,d,e,f)};w.gradientRadial=function(a,b,d,e,f){return q(this.defs,a,b,d,e,f)};w.toString=function(){var b=this.node.ownerDocument,d=b.createDocumentFragment(),b=b.createElement(\"div\"),e=this.node.cloneNode(!0);d.appendChild(b);b.appendChild(e);a._.$(e,{xmlns:\"http://www.w3.org/2000/svg\"});b=b.innerHTML;d.removeChild(d.firstChild);return b};w.clear=function(){for(var a=this.node.firstChild,\n",
|
||
"b;a;)b=a.nextSibling,\"defs\"!=a.tagName?a.parentNode.removeChild(a):w.clear.call({node:a}),a=b}})()});C.plugin(function(a,k,y,M){function A(a){var b=A.ps=A.ps||{};b[a]?b[a].sleep=100:b[a]={sleep:100};setTimeout(function(){for(var d in b)b[L](d)&&d!=a&&(b[d].sleep--,!b[d].sleep&&delete b[d])});return b[a]}function w(a,b,d,e){null==a&&(a=b=d=e=0);null==b&&(b=a.y,d=a.width,e=a.height,a=a.x);return{x:a,y:b,width:d,w:d,height:e,h:e,x2:a+d,y2:b+e,cx:a+d/2,cy:b+e/2,r1:F.min(d,e)/2,r2:F.max(d,e)/2,r0:F.sqrt(d*\n",
|
||
"d+e*e)/2,path:s(a,b,d,e),vb:[a,b,d,e].join(\" \")}}function z(){return this.join(\",\").replace(N,\"$1\")}function d(a){a=C(a);a.toString=z;return a}function f(a,b,d,h,f,k,l,n,p){if(null==p)return e(a,b,d,h,f,k,l,n);if(0>p||e(a,b,d,h,f,k,l,n)<p)p=void 0;else{var q=0.5,O=1-q,s;for(s=e(a,b,d,h,f,k,l,n,O);0.01<Z(s-p);)q/=2,O+=(s<p?1:-1)*q,s=e(a,b,d,h,f,k,l,n,O);p=O}return u(a,b,d,h,f,k,l,n,p)}function n(b,d){function e(a){return+(+a).toFixed(3)}return a._.cacher(function(a,h,l){a instanceof k&&(a=a.attr(\"d\"));\n",
|
||
"a=I(a);for(var n,p,D,q,O=\"\",s={},c=0,t=0,r=a.length;t<r;t++){D=a[t];if(\"M\"==D[0])n=+D[1],p=+D[2];else{q=f(n,p,D[1],D[2],D[3],D[4],D[5],D[6]);if(c+q>h){if(d&&!s.start){n=f(n,p,D[1],D[2],D[3],D[4],D[5],D[6],h-c);O+=[\"C\"+e(n.start.x),e(n.start.y),e(n.m.x),e(n.m.y),e(n.x),e(n.y)];if(l)return O;s.start=O;O=[\"M\"+e(n.x),e(n.y)+\"C\"+e(n.n.x),e(n.n.y),e(n.end.x),e(n.end.y),e(D[5]),e(D[6])].join();c+=q;n=+D[5];p=+D[6];continue}if(!b&&!d)return n=f(n,p,D[1],D[2],D[3],D[4],D[5],D[6],h-c)}c+=q;n=+D[5];p=+D[6]}O+=\n",
|
||
"D.shift()+D}s.end=O;return n=b?c:d?s:u(n,p,D[0],D[1],D[2],D[3],D[4],D[5],1)},null,a._.clone)}function u(a,b,d,e,h,f,k,l,n){var p=1-n,q=ma(p,3),s=ma(p,2),c=n*n,t=c*n,r=q*a+3*s*n*d+3*p*n*n*h+t*k,q=q*b+3*s*n*e+3*p*n*n*f+t*l,s=a+2*n*(d-a)+c*(h-2*d+a),t=b+2*n*(e-b)+c*(f-2*e+b),x=d+2*n*(h-d)+c*(k-2*h+d),c=e+2*n*(f-e)+c*(l-2*f+e);a=p*a+n*d;b=p*b+n*e;h=p*h+n*k;f=p*f+n*l;l=90-180*F.atan2(s-x,t-c)/S;return{x:r,y:q,m:{x:s,y:t},n:{x:x,y:c},start:{x:a,y:b},end:{x:h,y:f},alpha:l}}function p(b,d,e,h,f,n,k,l){a.is(b,\n",
|
||
"\"array\")||(b=[b,d,e,h,f,n,k,l]);b=U.apply(null,b);return w(b.min.x,b.min.y,b.max.x-b.min.x,b.max.y-b.min.y)}function b(a,b,d){return b>=a.x&&b<=a.x+a.width&&d>=a.y&&d<=a.y+a.height}function q(a,d){a=w(a);d=w(d);return b(d,a.x,a.y)||b(d,a.x2,a.y)||b(d,a.x,a.y2)||b(d,a.x2,a.y2)||b(a,d.x,d.y)||b(a,d.x2,d.y)||b(a,d.x,d.y2)||b(a,d.x2,d.y2)||(a.x<d.x2&&a.x>d.x||d.x<a.x2&&d.x>a.x)&&(a.y<d.y2&&a.y>d.y||d.y<a.y2&&d.y>a.y)}function e(a,b,d,e,h,f,n,k,l){null==l&&(l=1);l=(1<l?1:0>l?0:l)/2;for(var p=[-0.1252,\n",
|
||
"0.1252,-0.3678,0.3678,-0.5873,0.5873,-0.7699,0.7699,-0.9041,0.9041,-0.9816,0.9816],q=[0.2491,0.2491,0.2335,0.2335,0.2032,0.2032,0.1601,0.1601,0.1069,0.1069,0.0472,0.0472],s=0,c=0;12>c;c++)var t=l*p[c]+l,r=t*(t*(-3*a+9*d-9*h+3*n)+6*a-12*d+6*h)-3*a+3*d,t=t*(t*(-3*b+9*e-9*f+3*k)+6*b-12*e+6*f)-3*b+3*e,s=s+q[c]*F.sqrt(r*r+t*t);return l*s}function l(a,b,d){a=I(a);b=I(b);for(var h,f,l,n,k,s,r,O,x,c,t=d?0:[],w=0,v=a.length;w<v;w++)if(x=a[w],\"M\"==x[0])h=k=x[1],f=s=x[2];else{\"C\"==x[0]?(x=[h,f].concat(x.slice(1)),\n",
|
||
"h=x[6],f=x[7]):(x=[h,f,h,f,k,s,k,s],h=k,f=s);for(var G=0,y=b.length;G<y;G++)if(c=b[G],\"M\"==c[0])l=r=c[1],n=O=c[2];else{\"C\"==c[0]?(c=[l,n].concat(c.slice(1)),l=c[6],n=c[7]):(c=[l,n,l,n,r,O,r,O],l=r,n=O);var z;var K=x,B=c;z=d;var H=p(K),J=p(B);if(q(H,J)){for(var H=e.apply(0,K),J=e.apply(0,B),H=~~(H/8),J=~~(J/8),U=[],A=[],F={},M=z?0:[],P=0;P<H+1;P++){var C=u.apply(0,K.concat(P/H));U.push({x:C.x,y:C.y,t:P/H})}for(P=0;P<J+1;P++)C=u.apply(0,B.concat(P/J)),A.push({x:C.x,y:C.y,t:P/J});for(P=0;P<H;P++)for(K=\n",
|
||
"0;K<J;K++){var Q=U[P],L=U[P+1],B=A[K],C=A[K+1],N=0.001>Z(L.x-Q.x)?\"y\":\"x\",S=0.001>Z(C.x-B.x)?\"y\":\"x\",R;R=Q.x;var Y=Q.y,V=L.x,ea=L.y,fa=B.x,ga=B.y,ha=C.x,ia=C.y;if(W(R,V)<X(fa,ha)||X(R,V)>W(fa,ha)||W(Y,ea)<X(ga,ia)||X(Y,ea)>W(ga,ia))R=void 0;else{var $=(R*ea-Y*V)*(fa-ha)-(R-V)*(fa*ia-ga*ha),aa=(R*ea-Y*V)*(ga-ia)-(Y-ea)*(fa*ia-ga*ha),ja=(R-V)*(ga-ia)-(Y-ea)*(fa-ha);if(ja){var $=$/ja,aa=aa/ja,ja=+$.toFixed(2),ba=+aa.toFixed(2);R=ja<+X(R,V).toFixed(2)||ja>+W(R,V).toFixed(2)||ja<+X(fa,ha).toFixed(2)||\n",
|
||
"ja>+W(fa,ha).toFixed(2)||ba<+X(Y,ea).toFixed(2)||ba>+W(Y,ea).toFixed(2)||ba<+X(ga,ia).toFixed(2)||ba>+W(ga,ia).toFixed(2)?void 0:{x:$,y:aa}}else R=void 0}R&&F[R.x.toFixed(4)]!=R.y.toFixed(4)&&(F[R.x.toFixed(4)]=R.y.toFixed(4),Q=Q.t+Z((R[N]-Q[N])/(L[N]-Q[N]))*(L.t-Q.t),B=B.t+Z((R[S]-B[S])/(C[S]-B[S]))*(C.t-B.t),0<=Q&&1>=Q&&0<=B&&1>=B&&(z?M++:M.push({x:R.x,y:R.y,t1:Q,t2:B})))}z=M}else z=z?0:[];if(d)t+=z;else{H=0;for(J=z.length;H<J;H++)z[H].segment1=w,z[H].segment2=G,z[H].bez1=x,z[H].bez2=c;t=t.concat(z)}}}return t}\n",
|
||
"function r(a){var b=A(a);if(b.bbox)return C(b.bbox);if(!a)return w();a=I(a);for(var d=0,e=0,h=[],f=[],l,n=0,k=a.length;n<k;n++)l=a[n],\"M\"==l[0]?(d=l[1],e=l[2],h.push(d),f.push(e)):(d=U(d,e,l[1],l[2],l[3],l[4],l[5],l[6]),h=h.concat(d.min.x,d.max.x),f=f.concat(d.min.y,d.max.y),d=l[5],e=l[6]);a=X.apply(0,h);l=X.apply(0,f);h=W.apply(0,h);f=W.apply(0,f);f=w(a,l,h-a,f-l);b.bbox=C(f);return f}function s(a,b,d,e,h){if(h)return[[\"M\",+a+ +h,b],[\"l\",d-2*h,0],[\"a\",h,h,0,0,1,h,h],[\"l\",0,e-2*h],[\"a\",h,h,0,0,1,\n",
|
||
"-h,h],[\"l\",2*h-d,0],[\"a\",h,h,0,0,1,-h,-h],[\"l\",0,2*h-e],[\"a\",h,h,0,0,1,h,-h],[\"z\"] ];a=[[\"M\",a,b],[\"l\",d,0],[\"l\",0,e],[\"l\",-d,0],[\"z\"] ];a.toString=z;return a}function x(a,b,d,e,h){null==h&&null==e&&(e=d);a=+a;b=+b;d=+d;e=+e;if(null!=h){var f=Math.PI/180,l=a+d*Math.cos(-e*f);a+=d*Math.cos(-h*f);var n=b+d*Math.sin(-e*f);b+=d*Math.sin(-h*f);d=[[\"M\",l,n],[\"A\",d,d,0,+(180<h-e),0,a,b] ]}else d=[[\"M\",a,b],[\"m\",0,-e],[\"a\",d,e,0,1,1,0,2*e],[\"a\",d,e,0,1,1,0,-2*e],[\"z\"] ];d.toString=z;return d}function G(b){var e=\n",
|
||
"A(b);if(e.abs)return d(e.abs);Q(b,\"array\")&&Q(b&&b[0],\"array\")||(b=a.parsePathString(b));if(!b||!b.length)return[[\"M\",0,0] ];var h=[],f=0,l=0,n=0,k=0,p=0;\"M\"==b[0][0]&&(f=+b[0][1],l=+b[0][2],n=f,k=l,p++,h[0]=[\"M\",f,l]);for(var q=3==b.length&&\"M\"==b[0][0]&&\"R\"==b[1][0].toUpperCase()&&\"Z\"==b[2][0].toUpperCase(),s,r,w=p,c=b.length;w<c;w++){h.push(s=[]);r=b[w];p=r[0];if(p!=p.toUpperCase())switch(s[0]=p.toUpperCase(),s[0]){case \"A\":s[1]=r[1];s[2]=r[2];s[3]=r[3];s[4]=r[4];s[5]=r[5];s[6]=+r[6]+f;s[7]=+r[7]+\n",
|
||
"l;break;case \"V\":s[1]=+r[1]+l;break;case \"H\":s[1]=+r[1]+f;break;case \"R\":for(var t=[f,l].concat(r.slice(1)),u=2,v=t.length;u<v;u++)t[u]=+t[u]+f,t[++u]=+t[u]+l;h.pop();h=h.concat(P(t,q));break;case \"O\":h.pop();t=x(f,l,r[1],r[2]);t.push(t[0]);h=h.concat(t);break;case \"U\":h.pop();h=h.concat(x(f,l,r[1],r[2],r[3]));s=[\"U\"].concat(h[h.length-1].slice(-2));break;case \"M\":n=+r[1]+f,k=+r[2]+l;default:for(u=1,v=r.length;u<v;u++)s[u]=+r[u]+(u%2?f:l)}else if(\"R\"==p)t=[f,l].concat(r.slice(1)),h.pop(),h=h.concat(P(t,\n",
|
||
"q)),s=[\"R\"].concat(r.slice(-2));else if(\"O\"==p)h.pop(),t=x(f,l,r[1],r[2]),t.push(t[0]),h=h.concat(t);else if(\"U\"==p)h.pop(),h=h.concat(x(f,l,r[1],r[2],r[3])),s=[\"U\"].concat(h[h.length-1].slice(-2));else for(t=0,u=r.length;t<u;t++)s[t]=r[t];p=p.toUpperCase();if(\"O\"!=p)switch(s[0]){case \"Z\":f=+n;l=+k;break;case \"H\":f=s[1];break;case \"V\":l=s[1];break;case \"M\":n=s[s.length-2],k=s[s.length-1];default:f=s[s.length-2],l=s[s.length-1]}}h.toString=z;e.abs=d(h);return h}function h(a,b,d,e){return[a,b,d,e,d,\n",
|
||
"e]}function J(a,b,d,e,h,f){var l=1/3,n=2/3;return[l*a+n*d,l*b+n*e,l*h+n*d,l*f+n*e,h,f]}function K(b,d,e,h,f,l,n,k,p,s){var r=120*S/180,q=S/180*(+f||0),c=[],t,x=a._.cacher(function(a,b,c){var d=a*F.cos(c)-b*F.sin(c);a=a*F.sin(c)+b*F.cos(c);return{x:d,y:a}});if(s)v=s[0],t=s[1],l=s[2],u=s[3];else{t=x(b,d,-q);b=t.x;d=t.y;t=x(k,p,-q);k=t.x;p=t.y;F.cos(S/180*f);F.sin(S/180*f);t=(b-k)/2;v=(d-p)/2;u=t*t/(e*e)+v*v/(h*h);1<u&&(u=F.sqrt(u),e*=u,h*=u);var u=e*e,w=h*h,u=(l==n?-1:1)*F.sqrt(Z((u*w-u*v*v-w*t*t)/\n",
|
||
"(u*v*v+w*t*t)));l=u*e*v/h+(b+k)/2;var u=u*-h*t/e+(d+p)/2,v=F.asin(((d-u)/h).toFixed(9));t=F.asin(((p-u)/h).toFixed(9));v=b<l?S-v:v;t=k<l?S-t:t;0>v&&(v=2*S+v);0>t&&(t=2*S+t);n&&v>t&&(v-=2*S);!n&&t>v&&(t-=2*S)}if(Z(t-v)>r){var c=t,w=k,G=p;t=v+r*(n&&t>v?1:-1);k=l+e*F.cos(t);p=u+h*F.sin(t);c=K(k,p,e,h,f,0,n,w,G,[t,c,l,u])}l=t-v;f=F.cos(v);r=F.sin(v);n=F.cos(t);t=F.sin(t);l=F.tan(l/4);e=4/3*e*l;l*=4/3*h;h=[b,d];b=[b+e*r,d-l*f];d=[k+e*t,p-l*n];k=[k,p];b[0]=2*h[0]-b[0];b[1]=2*h[1]-b[1];if(s)return[b,d,k].concat(c);\n",
|
||
"c=[b,d,k].concat(c).join().split(\",\");s=[];k=0;for(p=c.length;k<p;k++)s[k]=k%2?x(c[k-1],c[k],q).y:x(c[k],c[k+1],q).x;return s}function U(a,b,d,e,h,f,l,k){for(var n=[],p=[[],[] ],s,r,c,t,q=0;2>q;++q)0==q?(r=6*a-12*d+6*h,s=-3*a+9*d-9*h+3*l,c=3*d-3*a):(r=6*b-12*e+6*f,s=-3*b+9*e-9*f+3*k,c=3*e-3*b),1E-12>Z(s)?1E-12>Z(r)||(s=-c/r,0<s&&1>s&&n.push(s)):(t=r*r-4*c*s,c=F.sqrt(t),0>t||(t=(-r+c)/(2*s),0<t&&1>t&&n.push(t),s=(-r-c)/(2*s),0<s&&1>s&&n.push(s)));for(r=q=n.length;q--;)s=n[q],c=1-s,p[0][q]=c*c*c*a+3*\n",
|
||
"c*c*s*d+3*c*s*s*h+s*s*s*l,p[1][q]=c*c*c*b+3*c*c*s*e+3*c*s*s*f+s*s*s*k;p[0][r]=a;p[1][r]=b;p[0][r+1]=l;p[1][r+1]=k;p[0].length=p[1].length=r+2;return{min:{x:X.apply(0,p[0]),y:X.apply(0,p[1])},max:{x:W.apply(0,p[0]),y:W.apply(0,p[1])}}}function I(a,b){var e=!b&&A(a);if(!b&&e.curve)return d(e.curve);var f=G(a),l=b&&G(b),n={x:0,y:0,bx:0,by:0,X:0,Y:0,qx:null,qy:null},k={x:0,y:0,bx:0,by:0,X:0,Y:0,qx:null,qy:null},p=function(a,b,c){if(!a)return[\"C\",b.x,b.y,b.x,b.y,b.x,b.y];a[0]in{T:1,Q:1}||(b.qx=b.qy=null);\n",
|
||
"switch(a[0]){case \"M\":b.X=a[1];b.Y=a[2];break;case \"A\":a=[\"C\"].concat(K.apply(0,[b.x,b.y].concat(a.slice(1))));break;case \"S\":\"C\"==c||\"S\"==c?(c=2*b.x-b.bx,b=2*b.y-b.by):(c=b.x,b=b.y);a=[\"C\",c,b].concat(a.slice(1));break;case \"T\":\"Q\"==c||\"T\"==c?(b.qx=2*b.x-b.qx,b.qy=2*b.y-b.qy):(b.qx=b.x,b.qy=b.y);a=[\"C\"].concat(J(b.x,b.y,b.qx,b.qy,a[1],a[2]));break;case \"Q\":b.qx=a[1];b.qy=a[2];a=[\"C\"].concat(J(b.x,b.y,a[1],a[2],a[3],a[4]));break;case \"L\":a=[\"C\"].concat(h(b.x,b.y,a[1],a[2]));break;case \"H\":a=[\"C\"].concat(h(b.x,\n",
|
||
"b.y,a[1],b.y));break;case \"V\":a=[\"C\"].concat(h(b.x,b.y,b.x,a[1]));break;case \"Z\":a=[\"C\"].concat(h(b.x,b.y,b.X,b.Y))}return a},s=function(a,b){if(7<a[b].length){a[b].shift();for(var c=a[b];c.length;)q[b]=\"A\",l&&(u[b]=\"A\"),a.splice(b++,0,[\"C\"].concat(c.splice(0,6)));a.splice(b,1);v=W(f.length,l&&l.length||0)}},r=function(a,b,c,d,e){a&&b&&\"M\"==a[e][0]&&\"M\"!=b[e][0]&&(b.splice(e,0,[\"M\",d.x,d.y]),c.bx=0,c.by=0,c.x=a[e][1],c.y=a[e][2],v=W(f.length,l&&l.length||0))},q=[],u=[],c=\"\",t=\"\",x=0,v=W(f.length,\n",
|
||
"l&&l.length||0);for(;x<v;x++){f[x]&&(c=f[x][0]);\"C\"!=c&&(q[x]=c,x&&(t=q[x-1]));f[x]=p(f[x],n,t);\"A\"!=q[x]&&\"C\"==c&&(q[x]=\"C\");s(f,x);l&&(l[x]&&(c=l[x][0]),\"C\"!=c&&(u[x]=c,x&&(t=u[x-1])),l[x]=p(l[x],k,t),\"A\"!=u[x]&&\"C\"==c&&(u[x]=\"C\"),s(l,x));r(f,l,n,k,x);r(l,f,k,n,x);var w=f[x],z=l&&l[x],y=w.length,U=l&&z.length;n.x=w[y-2];n.y=w[y-1];n.bx=$(w[y-4])||n.x;n.by=$(w[y-3])||n.y;k.bx=l&&($(z[U-4])||k.x);k.by=l&&($(z[U-3])||k.y);k.x=l&&z[U-2];k.y=l&&z[U-1]}l||(e.curve=d(f));return l?[f,l]:f}function P(a,\n",
|
||
"b){for(var d=[],e=0,h=a.length;h-2*!b>e;e+=2){var f=[{x:+a[e-2],y:+a[e-1]},{x:+a[e],y:+a[e+1]},{x:+a[e+2],y:+a[e+3]},{x:+a[e+4],y:+a[e+5]}];b?e?h-4==e?f[3]={x:+a[0],y:+a[1]}:h-2==e&&(f[2]={x:+a[0],y:+a[1]},f[3]={x:+a[2],y:+a[3]}):f[0]={x:+a[h-2],y:+a[h-1]}:h-4==e?f[3]=f[2]:e||(f[0]={x:+a[e],y:+a[e+1]});d.push([\"C\",(-f[0].x+6*f[1].x+f[2].x)/6,(-f[0].y+6*f[1].y+f[2].y)/6,(f[1].x+6*f[2].x-f[3].x)/6,(f[1].y+6*f[2].y-f[3].y)/6,f[2].x,f[2].y])}return d}y=k.prototype;var Q=a.is,C=a._.clone,L=\"hasOwnProperty\",\n",
|
||
"N=/,?([a-z]),?/gi,$=parseFloat,F=Math,S=F.PI,X=F.min,W=F.max,ma=F.pow,Z=F.abs;M=n(1);var na=n(),ba=n(0,1),V=a._unit2px;a.path=A;a.path.getTotalLength=M;a.path.getPointAtLength=na;a.path.getSubpath=function(a,b,d){if(1E-6>this.getTotalLength(a)-d)return ba(a,b).end;a=ba(a,d,1);return b?ba(a,b).end:a};y.getTotalLength=function(){if(this.node.getTotalLength)return this.node.getTotalLength()};y.getPointAtLength=function(a){return na(this.attr(\"d\"),a)};y.getSubpath=function(b,d){return a.path.getSubpath(this.attr(\"d\"),\n",
|
||
"b,d)};a._.box=w;a.path.findDotsAtSegment=u;a.path.bezierBBox=p;a.path.isPointInsideBBox=b;a.path.isBBoxIntersect=q;a.path.intersection=function(a,b){return l(a,b)};a.path.intersectionNumber=function(a,b){return l(a,b,1)};a.path.isPointInside=function(a,d,e){var h=r(a);return b(h,d,e)&&1==l(a,[[\"M\",d,e],[\"H\",h.x2+10] ],1)%2};a.path.getBBox=r;a.path.get={path:function(a){return a.attr(\"path\")},circle:function(a){a=V(a);return x(a.cx,a.cy,a.r)},ellipse:function(a){a=V(a);return x(a.cx||0,a.cy||0,a.rx,\n",
|
||
"a.ry)},rect:function(a){a=V(a);return s(a.x||0,a.y||0,a.width,a.height,a.rx,a.ry)},image:function(a){a=V(a);return s(a.x||0,a.y||0,a.width,a.height)},line:function(a){return\"M\"+[a.attr(\"x1\")||0,a.attr(\"y1\")||0,a.attr(\"x2\"),a.attr(\"y2\")]},polyline:function(a){return\"M\"+a.attr(\"points\")},polygon:function(a){return\"M\"+a.attr(\"points\")+\"z\"},deflt:function(a){a=a.node.getBBox();return s(a.x,a.y,a.width,a.height)}};a.path.toRelative=function(b){var e=A(b),h=String.prototype.toLowerCase;if(e.rel)return d(e.rel);\n",
|
||
"a.is(b,\"array\")&&a.is(b&&b[0],\"array\")||(b=a.parsePathString(b));var f=[],l=0,n=0,k=0,p=0,s=0;\"M\"==b[0][0]&&(l=b[0][1],n=b[0][2],k=l,p=n,s++,f.push([\"M\",l,n]));for(var r=b.length;s<r;s++){var q=f[s]=[],x=b[s];if(x[0]!=h.call(x[0]))switch(q[0]=h.call(x[0]),q[0]){case \"a\":q[1]=x[1];q[2]=x[2];q[3]=x[3];q[4]=x[4];q[5]=x[5];q[6]=+(x[6]-l).toFixed(3);q[7]=+(x[7]-n).toFixed(3);break;case \"v\":q[1]=+(x[1]-n).toFixed(3);break;case \"m\":k=x[1],p=x[2];default:for(var c=1,t=x.length;c<t;c++)q[c]=+(x[c]-(c%2?l:\n",
|
||
"n)).toFixed(3)}else for(f[s]=[],\"m\"==x[0]&&(k=x[1]+l,p=x[2]+n),q=0,c=x.length;q<c;q++)f[s][q]=x[q];x=f[s].length;switch(f[s][0]){case \"z\":l=k;n=p;break;case \"h\":l+=+f[s][x-1];break;case \"v\":n+=+f[s][x-1];break;default:l+=+f[s][x-2],n+=+f[s][x-1]}}f.toString=z;e.rel=d(f);return f};a.path.toAbsolute=G;a.path.toCubic=I;a.path.map=function(a,b){if(!b)return a;var d,e,h,f,l,n,k;a=I(a);h=0;for(l=a.length;h<l;h++)for(k=a[h],f=1,n=k.length;f<n;f+=2)d=b.x(k[f],k[f+1]),e=b.y(k[f],k[f+1]),k[f]=d,k[f+1]=e;return a};\n",
|
||
"a.path.toString=z;a.path.clone=d});C.plugin(function(a,v,y,C){var A=Math.max,w=Math.min,z=function(a){this.items=[];this.bindings={};this.length=0;this.type=\"set\";if(a)for(var f=0,n=a.length;f<n;f++)a[f]&&(this[this.items.length]=this.items[this.items.length]=a[f],this.length++)};v=z.prototype;v.push=function(){for(var a,f,n=0,k=arguments.length;n<k;n++)if(a=arguments[n])f=this.items.length,this[f]=this.items[f]=a,this.length++;return this};v.pop=function(){this.length&&delete this[this.length--];\n",
|
||
"return this.items.pop()};v.forEach=function(a,f){for(var n=0,k=this.items.length;n<k&&!1!==a.call(f,this.items[n],n);n++);return this};v.animate=function(d,f,n,u){\"function\"!=typeof n||n.length||(u=n,n=L.linear);d instanceof a._.Animation&&(u=d.callback,n=d.easing,f=n.dur,d=d.attr);var p=arguments;if(a.is(d,\"array\")&&a.is(p[p.length-1],\"array\"))var b=!0;var q,e=function(){q?this.b=q:q=this.b},l=0,r=u&&function(){l++==this.length&&u.call(this)};return this.forEach(function(a,l){k.once(\"snap.animcreated.\"+\n",
|
||
"a.id,e);b?p[l]&&a.animate.apply(a,p[l]):a.animate(d,f,n,r)})};v.remove=function(){for(;this.length;)this.pop().remove();return this};v.bind=function(a,f,k){var u={};if(\"function\"==typeof f)this.bindings[a]=f;else{var p=k||a;this.bindings[a]=function(a){u[p]=a;f.attr(u)}}return this};v.attr=function(a){var f={},k;for(k in a)if(this.bindings[k])this.bindings[k](a[k]);else f[k]=a[k];a=0;for(k=this.items.length;a<k;a++)this.items[a].attr(f);return this};v.clear=function(){for(;this.length;)this.pop()};\n",
|
||
"v.splice=function(a,f,k){a=0>a?A(this.length+a,0):a;f=A(0,w(this.length-a,f));var u=[],p=[],b=[],q;for(q=2;q<arguments.length;q++)b.push(arguments[q]);for(q=0;q<f;q++)p.push(this[a+q]);for(;q<this.length-a;q++)u.push(this[a+q]);var e=b.length;for(q=0;q<e+u.length;q++)this.items[a+q]=this[a+q]=q<e?b[q]:u[q-e];for(q=this.items.length=this.length-=f-e;this[q];)delete this[q++];return new z(p)};v.exclude=function(a){for(var f=0,k=this.length;f<k;f++)if(this[f]==a)return this.splice(f,1),!0;return!1};\n",
|
||
"v.insertAfter=function(a){for(var f=this.items.length;f--;)this.items[f].insertAfter(a);return this};v.getBBox=function(){for(var a=[],f=[],k=[],u=[],p=this.items.length;p--;)if(!this.items[p].removed){var b=this.items[p].getBBox();a.push(b.x);f.push(b.y);k.push(b.x+b.width);u.push(b.y+b.height)}a=w.apply(0,a);f=w.apply(0,f);k=A.apply(0,k);u=A.apply(0,u);return{x:a,y:f,x2:k,y2:u,width:k-a,height:u-f,cx:a+(k-a)/2,cy:f+(u-f)/2}};v.clone=function(a){a=new z;for(var f=0,k=this.items.length;f<k;f++)a.push(this.items[f].clone());\n",
|
||
"return a};v.toString=function(){return\"Snap\\u2018s set\"};v.type=\"set\";a.set=function(){var a=new z;arguments.length&&a.push.apply(a,Array.prototype.slice.call(arguments,0));return a}});C.plugin(function(a,v,y,C){function A(a){var b=a[0];switch(b.toLowerCase()){case \"t\":return[b,0,0];case \"m\":return[b,1,0,0,1,0,0];case \"r\":return 4==a.length?[b,0,a[2],a[3] ]:[b,0];case \"s\":return 5==a.length?[b,1,1,a[3],a[4] ]:3==a.length?[b,1,1]:[b,1]}}function w(b,d,f){d=q(d).replace(/\\.{3}|\\u2026/g,b);b=a.parseTransformString(b)||\n",
|
||
"[];d=a.parseTransformString(d)||[];for(var k=Math.max(b.length,d.length),p=[],v=[],h=0,w,z,y,I;h<k;h++){y=b[h]||A(d[h]);I=d[h]||A(y);if(y[0]!=I[0]||\"r\"==y[0].toLowerCase()&&(y[2]!=I[2]||y[3]!=I[3])||\"s\"==y[0].toLowerCase()&&(y[3]!=I[3]||y[4]!=I[4])){b=a._.transform2matrix(b,f());d=a._.transform2matrix(d,f());p=[[\"m\",b.a,b.b,b.c,b.d,b.e,b.f] ];v=[[\"m\",d.a,d.b,d.c,d.d,d.e,d.f] ];break}p[h]=[];v[h]=[];w=0;for(z=Math.max(y.length,I.length);w<z;w++)w in y&&(p[h][w]=y[w]),w in I&&(v[h][w]=I[w])}return{from:u(p),\n",
|
||
"to:u(v),f:n(p)}}function z(a){return a}function d(a){return function(b){return+b.toFixed(3)+a}}function f(b){return a.rgb(b[0],b[1],b[2])}function n(a){var b=0,d,f,k,n,h,p,q=[];d=0;for(f=a.length;d<f;d++){h=\"[\";p=['\"'+a[d][0]+'\"'];k=1;for(n=a[d].length;k<n;k++)p[k]=\"val[\"+b++ +\"]\";h+=p+\"]\";q[d]=h}return Function(\"val\",\"return Snap.path.toString.call([\"+q+\"])\")}function u(a){for(var b=[],d=0,f=a.length;d<f;d++)for(var k=1,n=a[d].length;k<n;k++)b.push(a[d][k]);return b}var p={},b=/[a-z]+$/i,q=String;\n",
|
||
"p.stroke=p.fill=\"colour\";v.prototype.equal=function(a,b){return k(\"snap.util.equal\",this,a,b).firstDefined()};k.on(\"snap.util.equal\",function(e,k){var r,s;r=q(this.attr(e)||\"\");var x=this;if(r==+r&&k==+k)return{from:+r,to:+k,f:z};if(\"colour\"==p[e])return r=a.color(r),s=a.color(k),{from:[r.r,r.g,r.b,r.opacity],to:[s.r,s.g,s.b,s.opacity],f:f};if(\"transform\"==e||\"gradientTransform\"==e||\"patternTransform\"==e)return k instanceof a.Matrix&&(k=k.toTransformString()),a._.rgTransform.test(k)||(k=a._.svgTransform2string(k)),\n",
|
||
"w(r,k,function(){return x.getBBox(1)});if(\"d\"==e||\"path\"==e)return r=a.path.toCubic(r,k),{from:u(r[0]),to:u(r[1]),f:n(r[0])};if(\"points\"==e)return r=q(r).split(a._.separator),s=q(k).split(a._.separator),{from:r,to:s,f:function(a){return a}};aUnit=r.match(b);s=q(k).match(b);return aUnit&&aUnit==s?{from:parseFloat(r),to:parseFloat(k),f:d(aUnit)}:{from:this.asPX(e),to:this.asPX(e,k),f:z}})});C.plugin(function(a,v,y,C){var A=v.prototype,w=\"createTouch\"in C.doc;v=\"click dblclick mousedown mousemove mouseout mouseover mouseup touchstart touchmove touchend touchcancel\".split(\" \");\n",
|
||
"var z={mousedown:\"touchstart\",mousemove:\"touchmove\",mouseup:\"touchend\"},d=function(a,b){var d=\"y\"==a?\"scrollTop\":\"scrollLeft\",e=b&&b.node?b.node.ownerDocument:C.doc;return e[d in e.documentElement?\"documentElement\":\"body\"][d]},f=function(){this.returnValue=!1},n=function(){return this.originalEvent.preventDefault()},u=function(){this.cancelBubble=!0},p=function(){return this.originalEvent.stopPropagation()},b=function(){if(C.doc.addEventListener)return function(a,b,e,f){var k=w&&z[b]?z[b]:b,l=function(k){var l=\n",
|
||
"d(\"y\",f),q=d(\"x\",f);if(w&&z.hasOwnProperty(b))for(var r=0,u=k.targetTouches&&k.targetTouches.length;r<u;r++)if(k.targetTouches[r].target==a||a.contains(k.targetTouches[r].target)){u=k;k=k.targetTouches[r];k.originalEvent=u;k.preventDefault=n;k.stopPropagation=p;break}return e.call(f,k,k.clientX+q,k.clientY+l)};b!==k&&a.addEventListener(b,l,!1);a.addEventListener(k,l,!1);return function(){b!==k&&a.removeEventListener(b,l,!1);a.removeEventListener(k,l,!1);return!0}};if(C.doc.attachEvent)return function(a,\n",
|
||
"b,e,h){var k=function(a){a=a||h.node.ownerDocument.window.event;var b=d(\"y\",h),k=d(\"x\",h),k=a.clientX+k,b=a.clientY+b;a.preventDefault=a.preventDefault||f;a.stopPropagation=a.stopPropagation||u;return e.call(h,a,k,b)};a.attachEvent(\"on\"+b,k);return function(){a.detachEvent(\"on\"+b,k);return!0}}}(),q=[],e=function(a){for(var b=a.clientX,e=a.clientY,f=d(\"y\"),l=d(\"x\"),n,p=q.length;p--;){n=q[p];if(w)for(var r=a.touches&&a.touches.length,u;r--;){if(u=a.touches[r],u.identifier==n.el._drag.id||n.el.node.contains(u.target)){b=\n",
|
||
"u.clientX;e=u.clientY;(a.originalEvent?a.originalEvent:a).preventDefault();break}}else a.preventDefault();b+=l;e+=f;k(\"snap.drag.move.\"+n.el.id,n.move_scope||n.el,b-n.el._drag.x,e-n.el._drag.y,b,e,a)}},l=function(b){a.unmousemove(e).unmouseup(l);for(var d=q.length,f;d--;)f=q[d],f.el._drag={},k(\"snap.drag.end.\"+f.el.id,f.end_scope||f.start_scope||f.move_scope||f.el,b);q=[]};for(y=v.length;y--;)(function(d){a[d]=A[d]=function(e,f){a.is(e,\"function\")&&(this.events=this.events||[],this.events.push({name:d,\n",
|
||
"f:e,unbind:b(this.node||document,d,e,f||this)}));return this};a[\"un\"+d]=A[\"un\"+d]=function(a){for(var b=this.events||[],e=b.length;e--;)if(b[e].name==d&&(b[e].f==a||!a)){b[e].unbind();b.splice(e,1);!b.length&&delete this.events;break}return this}})(v[y]);A.hover=function(a,b,d,e){return this.mouseover(a,d).mouseout(b,e||d)};A.unhover=function(a,b){return this.unmouseover(a).unmouseout(b)};var r=[];A.drag=function(b,d,f,h,n,p){function u(r,v,w){(r.originalEvent||r).preventDefault();this._drag.x=v;\n",
|
||
"this._drag.y=w;this._drag.id=r.identifier;!q.length&&a.mousemove(e).mouseup(l);q.push({el:this,move_scope:h,start_scope:n,end_scope:p});d&&k.on(\"snap.drag.start.\"+this.id,d);b&&k.on(\"snap.drag.move.\"+this.id,b);f&&k.on(\"snap.drag.end.\"+this.id,f);k(\"snap.drag.start.\"+this.id,n||h||this,v,w,r)}if(!arguments.length){var v;return this.drag(function(a,b){this.attr({transform:v+(v?\"T\":\"t\")+[a,b]})},function(){v=this.transform().local})}this._drag={};r.push({el:this,start:u});this.mousedown(u);return this};\n",
|
||
"A.undrag=function(){for(var b=r.length;b--;)r[b].el==this&&(this.unmousedown(r[b].start),r.splice(b,1),k.unbind(\"snap.drag.*.\"+this.id));!r.length&&a.unmousemove(e).unmouseup(l);return this}});C.plugin(function(a,v,y,C){y=y.prototype;var A=/^\\s*url\\((.+)\\)/,w=String,z=a._.$;a.filter={};y.filter=function(d){var f=this;\"svg\"!=f.type&&(f=f.paper);d=a.parse(w(d));var k=a._.id(),u=z(\"filter\");z(u,{id:k,filterUnits:\"userSpaceOnUse\"});u.appendChild(d.node);f.defs.appendChild(u);return new v(u)};k.on(\"snap.util.getattr.filter\",\n",
|
||
"function(){k.stop();var d=z(this.node,\"filter\");if(d)return(d=w(d).match(A))&&a.select(d[1])});k.on(\"snap.util.attr.filter\",function(d){if(d instanceof v&&\"filter\"==d.type){k.stop();var f=d.node.id;f||(z(d.node,{id:d.id}),f=d.id);z(this.node,{filter:a.url(f)})}d&&\"none\"!=d||(k.stop(),this.node.removeAttribute(\"filter\"))});a.filter.blur=function(d,f){null==d&&(d=2);return a.format('<feGaussianBlur stdDeviation=\"{def}\"/>',{def:null==f?d:[d,f]})};a.filter.blur.toString=function(){return this()};a.filter.shadow=\n",
|
||
"function(d,f,k,u,p){\"string\"==typeof k&&(p=u=k,k=4);\"string\"!=typeof u&&(p=u,u=\"#000\");null==k&&(k=4);null==p&&(p=1);null==d&&(d=0,f=2);null==f&&(f=d);u=a.color(u||\"#000\");return a.format('<feGaussianBlur in=\"SourceAlpha\" stdDeviation=\"{blur}\"/><feOffset dx=\"{dx}\" dy=\"{dy}\" result=\"offsetblur\"/><feFlood flood-color=\"{color}\"/><feComposite in2=\"offsetblur\" operator=\"in\"/><feComponentTransfer><feFuncA type=\"linear\" slope=\"{opacity}\"/></feComponentTransfer><feMerge><feMergeNode/><feMergeNode in=\"SourceGraphic\"/></feMerge>',\n",
|
||
"{color:u,dx:d,dy:f,blur:k,opacity:p})};a.filter.shadow.toString=function(){return this()};a.filter.grayscale=function(d){null==d&&(d=1);return a.format('<feColorMatrix type=\"matrix\" values=\"{a} {b} {c} 0 0 {d} {e} {f} 0 0 {g} {b} {h} 0 0 0 0 0 1 0\"/>',{a:0.2126+0.7874*(1-d),b:0.7152-0.7152*(1-d),c:0.0722-0.0722*(1-d),d:0.2126-0.2126*(1-d),e:0.7152+0.2848*(1-d),f:0.0722-0.0722*(1-d),g:0.2126-0.2126*(1-d),h:0.0722+0.9278*(1-d)})};a.filter.grayscale.toString=function(){return this()};a.filter.sepia=\n",
|
||
"function(d){null==d&&(d=1);return a.format('<feColorMatrix type=\"matrix\" values=\"{a} {b} {c} 0 0 {d} {e} {f} 0 0 {g} {h} {i} 0 0 0 0 0 1 0\"/>',{a:0.393+0.607*(1-d),b:0.769-0.769*(1-d),c:0.189-0.189*(1-d),d:0.349-0.349*(1-d),e:0.686+0.314*(1-d),f:0.168-0.168*(1-d),g:0.272-0.272*(1-d),h:0.534-0.534*(1-d),i:0.131+0.869*(1-d)})};a.filter.sepia.toString=function(){return this()};a.filter.saturate=function(d){null==d&&(d=1);return a.format('<feColorMatrix type=\"saturate\" values=\"{amount}\"/>',{amount:1-\n",
|
||
"d})};a.filter.saturate.toString=function(){return this()};a.filter.hueRotate=function(d){return a.format('<feColorMatrix type=\"hueRotate\" values=\"{angle}\"/>',{angle:d||0})};a.filter.hueRotate.toString=function(){return this()};a.filter.invert=function(d){null==d&&(d=1);return a.format('<feComponentTransfer><feFuncR type=\"table\" tableValues=\"{amount} {amount2}\"/><feFuncG type=\"table\" tableValues=\"{amount} {amount2}\"/><feFuncB type=\"table\" tableValues=\"{amount} {amount2}\"/></feComponentTransfer>',{amount:d,\n",
|
||
"amount2:1-d})};a.filter.invert.toString=function(){return this()};a.filter.brightness=function(d){null==d&&(d=1);return a.format('<feComponentTransfer><feFuncR type=\"linear\" slope=\"{amount}\"/><feFuncG type=\"linear\" slope=\"{amount}\"/><feFuncB type=\"linear\" slope=\"{amount}\"/></feComponentTransfer>',{amount:d})};a.filter.brightness.toString=function(){return this()};a.filter.contrast=function(d){null==d&&(d=1);return a.format('<feComponentTransfer><feFuncR type=\"linear\" slope=\"{amount}\" intercept=\"{amount2}\"/><feFuncG type=\"linear\" slope=\"{amount}\" intercept=\"{amount2}\"/><feFuncB type=\"linear\" slope=\"{amount}\" intercept=\"{amount2}\"/></feComponentTransfer>',\n",
|
||
"{amount:d,amount2:0.5-d/2})};a.filter.contrast.toString=function(){return this()}});return C});\n",
|
||
"\n",
|
||
"]]> </script>\n",
|
||
"<script> <![CDATA[\n",
|
||
"\n",
|
||
"(function (glob, factory) {\n",
|
||
" // AMD support\n",
|
||
" if (typeof define === \"function\" && define.amd) {\n",
|
||
" // Define as an anonymous module\n",
|
||
" define(\"Gadfly\", [\"Snap.svg\"], function (Snap) {\n",
|
||
" return factory(Snap);\n",
|
||
" });\n",
|
||
" } else {\n",
|
||
" // Browser globals (glob is window)\n",
|
||
" // Snap adds itself to window\n",
|
||
" glob.Gadfly = factory(glob.Snap);\n",
|
||
" }\n",
|
||
"}(this, function (Snap) {\n",
|
||
"\n",
|
||
"var Gadfly = {};\n",
|
||
"\n",
|
||
"// Get an x/y coordinate value in pixels\n",
|
||
"var xPX = function(fig, x) {\n",
|
||
" var client_box = fig.node.getBoundingClientRect();\n",
|
||
" return x * fig.node.viewBox.baseVal.width / client_box.width;\n",
|
||
"};\n",
|
||
"\n",
|
||
"var yPX = function(fig, y) {\n",
|
||
" var client_box = fig.node.getBoundingClientRect();\n",
|
||
" return y * fig.node.viewBox.baseVal.height / client_box.height;\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"Snap.plugin(function (Snap, Element, Paper, global) {\n",
|
||
" // Traverse upwards from a snap element to find and return the first\n",
|
||
" // note with the \"plotroot\" class.\n",
|
||
" Element.prototype.plotroot = function () {\n",
|
||
" var element = this;\n",
|
||
" while (!element.hasClass(\"plotroot\") && element.parent() != null) {\n",
|
||
" element = element.parent();\n",
|
||
" }\n",
|
||
" return element;\n",
|
||
" };\n",
|
||
"\n",
|
||
" Element.prototype.svgroot = function () {\n",
|
||
" var element = this;\n",
|
||
" while (element.node.nodeName != \"svg\" && element.parent() != null) {\n",
|
||
" element = element.parent();\n",
|
||
" }\n",
|
||
" return element;\n",
|
||
" };\n",
|
||
"\n",
|
||
" Element.prototype.plotbounds = function () {\n",
|
||
" var root = this.plotroot()\n",
|
||
" var bbox = root.select(\".guide.background\").node.getBBox();\n",
|
||
" return {\n",
|
||
" x0: bbox.x,\n",
|
||
" x1: bbox.x + bbox.width,\n",
|
||
" y0: bbox.y,\n",
|
||
" y1: bbox.y + bbox.height\n",
|
||
" };\n",
|
||
" };\n",
|
||
"\n",
|
||
" Element.prototype.plotcenter = function () {\n",
|
||
" var root = this.plotroot()\n",
|
||
" var bbox = root.select(\".guide.background\").node.getBBox();\n",
|
||
" return {\n",
|
||
" x: bbox.x + bbox.width / 2,\n",
|
||
" y: bbox.y + bbox.height / 2\n",
|
||
" };\n",
|
||
" };\n",
|
||
"\n",
|
||
" // Emulate IE style mouseenter/mouseleave events, since Microsoft always\n",
|
||
" // does everything right.\n",
|
||
" // See: http://www.dynamic-tools.net/toolbox/isMouseLeaveOrEnter/\n",
|
||
" var events = [\"mouseenter\", \"mouseleave\"];\n",
|
||
"\n",
|
||
" for (i in events) {\n",
|
||
" (function (event_name) {\n",
|
||
" var event_name = events[i];\n",
|
||
" Element.prototype[event_name] = function (fn, scope) {\n",
|
||
" if (Snap.is(fn, \"function\")) {\n",
|
||
" var fn2 = function (event) {\n",
|
||
" if (event.type != \"mouseover\" && event.type != \"mouseout\") {\n",
|
||
" return;\n",
|
||
" }\n",
|
||
"\n",
|
||
" var reltg = event.relatedTarget ? event.relatedTarget :\n",
|
||
" event.type == \"mouseout\" ? event.toElement : event.fromElement;\n",
|
||
" while (reltg && reltg != this.node) reltg = reltg.parentNode;\n",
|
||
"\n",
|
||
" if (reltg != this.node) {\n",
|
||
" return fn.apply(this, event);\n",
|
||
" }\n",
|
||
" };\n",
|
||
"\n",
|
||
" if (event_name == \"mouseenter\") {\n",
|
||
" this.mouseover(fn2, scope);\n",
|
||
" } else {\n",
|
||
" this.mouseout(fn2, scope);\n",
|
||
" }\n",
|
||
" }\n",
|
||
" return this;\n",
|
||
" };\n",
|
||
" })(events[i]);\n",
|
||
" }\n",
|
||
"\n",
|
||
"\n",
|
||
" Element.prototype.mousewheel = function (fn, scope) {\n",
|
||
" if (Snap.is(fn, \"function\")) {\n",
|
||
" var el = this;\n",
|
||
" var fn2 = function (event) {\n",
|
||
" fn.apply(el, [event]);\n",
|
||
" };\n",
|
||
" }\n",
|
||
"\n",
|
||
" this.node.addEventListener(\n",
|
||
" /Firefox/i.test(navigator.userAgent) ? \"DOMMouseScroll\" : \"mousewheel\",\n",
|
||
" fn2);\n",
|
||
"\n",
|
||
" return this;\n",
|
||
" };\n",
|
||
"\n",
|
||
"\n",
|
||
" // Snap's attr function can be too slow for things like panning/zooming.\n",
|
||
" // This is a function to directly update element attributes without going\n",
|
||
" // through eve.\n",
|
||
" Element.prototype.attribute = function(key, val) {\n",
|
||
" if (val === undefined) {\n",
|
||
" return this.node.getAttribute(key);\n",
|
||
" } else {\n",
|
||
" this.node.setAttribute(key, val);\n",
|
||
" return this;\n",
|
||
" }\n",
|
||
" };\n",
|
||
"\n",
|
||
" Element.prototype.init_gadfly = function() {\n",
|
||
" this.mouseenter(Gadfly.plot_mouseover)\n",
|
||
" .mouseleave(Gadfly.plot_mouseout)\n",
|
||
" .dblclick(Gadfly.plot_dblclick)\n",
|
||
" .mousewheel(Gadfly.guide_background_scroll)\n",
|
||
" .drag(Gadfly.guide_background_drag_onmove,\n",
|
||
" Gadfly.guide_background_drag_onstart,\n",
|
||
" Gadfly.guide_background_drag_onend);\n",
|
||
" this.mouseenter(function (event) {\n",
|
||
" init_pan_zoom(this.plotroot());\n",
|
||
" });\n",
|
||
" return this;\n",
|
||
" };\n",
|
||
"});\n",
|
||
"\n",
|
||
"\n",
|
||
"// When the plot is moused over, emphasize the grid lines.\n",
|
||
"Gadfly.plot_mouseover = function(event) {\n",
|
||
" var root = this.plotroot();\n",
|
||
"\n",
|
||
" var keyboard_zoom = function(event) {\n",
|
||
" if (event.which == 187) { // plus\n",
|
||
" increase_zoom_by_position(root, 0.1, true);\n",
|
||
" } else if (event.which == 189) { // minus\n",
|
||
" increase_zoom_by_position(root, -0.1, true);\n",
|
||
" }\n",
|
||
" };\n",
|
||
" root.data(\"keyboard_zoom\", keyboard_zoom);\n",
|
||
" window.addEventListener(\"keyup\", keyboard_zoom);\n",
|
||
"\n",
|
||
" var xgridlines = root.select(\".xgridlines\"),\n",
|
||
" ygridlines = root.select(\".ygridlines\");\n",
|
||
"\n",
|
||
" xgridlines.data(\"unfocused_strokedash\",\n",
|
||
" xgridlines.attribute(\"stroke-dasharray\").replace(/(\\d)(,|$)/g, \"$1mm$2\"));\n",
|
||
" ygridlines.data(\"unfocused_strokedash\",\n",
|
||
" ygridlines.attribute(\"stroke-dasharray\").replace(/(\\d)(,|$)/g, \"$1mm$2\"));\n",
|
||
"\n",
|
||
" // emphasize grid lines\n",
|
||
" var destcolor = root.data(\"focused_xgrid_color\");\n",
|
||
" xgridlines.attribute(\"stroke-dasharray\", \"none\")\n",
|
||
" .selectAll(\"path\")\n",
|
||
" .animate({stroke: destcolor}, 250);\n",
|
||
"\n",
|
||
" destcolor = root.data(\"focused_ygrid_color\");\n",
|
||
" ygridlines.attribute(\"stroke-dasharray\", \"none\")\n",
|
||
" .selectAll(\"path\")\n",
|
||
" .animate({stroke: destcolor}, 250);\n",
|
||
"\n",
|
||
" // reveal zoom slider\n",
|
||
" root.select(\".zoomslider\")\n",
|
||
" .animate({opacity: 1.0}, 250);\n",
|
||
"};\n",
|
||
"\n",
|
||
"// Reset pan and zoom on double click\n",
|
||
"Gadfly.plot_dblclick = function(event) {\n",
|
||
" set_plot_pan_zoom(this.plotroot(), 0.0, 0.0, 1.0);\n",
|
||
"};\n",
|
||
"\n",
|
||
"// Unemphasize grid lines on mouse out.\n",
|
||
"Gadfly.plot_mouseout = function(event) {\n",
|
||
" var root = this.plotroot();\n",
|
||
"\n",
|
||
" window.removeEventListener(\"keyup\", root.data(\"keyboard_zoom\"));\n",
|
||
" root.data(\"keyboard_zoom\", undefined);\n",
|
||
"\n",
|
||
" var xgridlines = root.select(\".xgridlines\"),\n",
|
||
" ygridlines = root.select(\".ygridlines\");\n",
|
||
"\n",
|
||
" var destcolor = root.data(\"unfocused_xgrid_color\");\n",
|
||
"\n",
|
||
" xgridlines.attribute(\"stroke-dasharray\", xgridlines.data(\"unfocused_strokedash\"))\n",
|
||
" .selectAll(\"path\")\n",
|
||
" .animate({stroke: destcolor}, 250);\n",
|
||
"\n",
|
||
" destcolor = root.data(\"unfocused_ygrid_color\");\n",
|
||
" ygridlines.attribute(\"stroke-dasharray\", ygridlines.data(\"unfocused_strokedash\"))\n",
|
||
" .selectAll(\"path\")\n",
|
||
" .animate({stroke: destcolor}, 250);\n",
|
||
"\n",
|
||
" // hide zoom slider\n",
|
||
" root.select(\".zoomslider\")\n",
|
||
" .animate({opacity: 0.0}, 250);\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"var set_geometry_transform = function(root, tx, ty, scale) {\n",
|
||
" var xscalable = root.hasClass(\"xscalable\"),\n",
|
||
" yscalable = root.hasClass(\"yscalable\");\n",
|
||
"\n",
|
||
" var old_scale = root.data(\"scale\");\n",
|
||
"\n",
|
||
" var xscale = xscalable ? scale : 1.0,\n",
|
||
" yscale = yscalable ? scale : 1.0;\n",
|
||
"\n",
|
||
" tx = xscalable ? tx : 0.0;\n",
|
||
" ty = yscalable ? ty : 0.0;\n",
|
||
"\n",
|
||
" var t = new Snap.Matrix().translate(tx, ty).scale(xscale, yscale);\n",
|
||
"\n",
|
||
" root.selectAll(\".geometry, image\")\n",
|
||
" .forEach(function (element, i) {\n",
|
||
" element.transform(t);\n",
|
||
" });\n",
|
||
"\n",
|
||
" bounds = root.plotbounds();\n",
|
||
"\n",
|
||
" if (yscalable) {\n",
|
||
" var xfixed_t = new Snap.Matrix().translate(0, ty).scale(1.0, yscale);\n",
|
||
" root.selectAll(\".xfixed\")\n",
|
||
" .forEach(function (element, i) {\n",
|
||
" element.transform(xfixed_t);\n",
|
||
" });\n",
|
||
"\n",
|
||
" root.select(\".ylabels\")\n",
|
||
" .transform(xfixed_t)\n",
|
||
" .selectAll(\"text\")\n",
|
||
" .forEach(function (element, i) {\n",
|
||
" if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
|
||
" var cx = element.asPX(\"x\"),\n",
|
||
" cy = element.asPX(\"y\");\n",
|
||
" var st = element.data(\"static_transform\");\n",
|
||
" unscale_t = new Snap.Matrix();\n",
|
||
" unscale_t.scale(1, 1/scale, cx, cy).add(st);\n",
|
||
" element.transform(unscale_t);\n",
|
||
"\n",
|
||
" var y = cy * scale + ty;\n",
|
||
" element.attr(\"visibility\",\n",
|
||
" bounds.y0 <= y && y <= bounds.y1 ? \"visible\" : \"hidden\");\n",
|
||
" }\n",
|
||
" });\n",
|
||
" }\n",
|
||
"\n",
|
||
" if (xscalable) {\n",
|
||
" var yfixed_t = new Snap.Matrix().translate(tx, 0).scale(xscale, 1.0);\n",
|
||
" var xtrans = new Snap.Matrix().translate(tx, 0);\n",
|
||
" root.selectAll(\".yfixed\")\n",
|
||
" .forEach(function (element, i) {\n",
|
||
" element.transform(yfixed_t);\n",
|
||
" });\n",
|
||
"\n",
|
||
" root.select(\".xlabels\")\n",
|
||
" .transform(yfixed_t)\n",
|
||
" .selectAll(\"text\")\n",
|
||
" .forEach(function (element, i) {\n",
|
||
" if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
|
||
" var cx = element.asPX(\"x\"),\n",
|
||
" cy = element.asPX(\"y\");\n",
|
||
" var st = element.data(\"static_transform\");\n",
|
||
" unscale_t = new Snap.Matrix();\n",
|
||
" unscale_t.scale(1/scale, 1, cx, cy).add(st);\n",
|
||
"\n",
|
||
" element.transform(unscale_t);\n",
|
||
"\n",
|
||
" var x = cx * scale + tx;\n",
|
||
" element.attr(\"visibility\",\n",
|
||
" bounds.x0 <= x && x <= bounds.x1 ? \"visible\" : \"hidden\");\n",
|
||
" }\n",
|
||
" });\n",
|
||
" }\n",
|
||
"\n",
|
||
" // we must unscale anything that is scale invariance: widths, raiduses, etc.\n",
|
||
" var size_attribs = [\"font-size\"];\n",
|
||
" var unscaled_selection = \".geometry, .geometry *\";\n",
|
||
" if (xscalable) {\n",
|
||
" size_attribs.push(\"rx\");\n",
|
||
" unscaled_selection += \", .xgridlines\";\n",
|
||
" }\n",
|
||
" if (yscalable) {\n",
|
||
" size_attribs.push(\"ry\");\n",
|
||
" unscaled_selection += \", .ygridlines\";\n",
|
||
" }\n",
|
||
"\n",
|
||
" root.selectAll(unscaled_selection)\n",
|
||
" .forEach(function (element, i) {\n",
|
||
" // circle need special help\n",
|
||
" if (element.node.nodeName == \"circle\") {\n",
|
||
" var cx = element.attribute(\"cx\"),\n",
|
||
" cy = element.attribute(\"cy\");\n",
|
||
" unscale_t = new Snap.Matrix().scale(1/xscale, 1/yscale,\n",
|
||
" cx, cy);\n",
|
||
" element.transform(unscale_t);\n",
|
||
" return;\n",
|
||
" }\n",
|
||
"\n",
|
||
" for (i in size_attribs) {\n",
|
||
" var key = size_attribs[i];\n",
|
||
" var val = parseFloat(element.attribute(key));\n",
|
||
" if (val !== undefined && val != 0 && !isNaN(val)) {\n",
|
||
" element.attribute(key, val * old_scale / scale);\n",
|
||
" }\n",
|
||
" }\n",
|
||
" });\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"// Find the most appropriate tick scale and update label visibility.\n",
|
||
"var update_tickscale = function(root, scale, axis) {\n",
|
||
" if (!root.hasClass(axis + \"scalable\")) return;\n",
|
||
"\n",
|
||
" var tickscales = root.data(axis + \"tickscales\");\n",
|
||
" var best_tickscale = 1.0;\n",
|
||
" var best_tickscale_dist = Infinity;\n",
|
||
" for (tickscale in tickscales) {\n",
|
||
" var dist = Math.abs(Math.log(tickscale) - Math.log(scale));\n",
|
||
" if (dist < best_tickscale_dist) {\n",
|
||
" best_tickscale_dist = dist;\n",
|
||
" best_tickscale = tickscale;\n",
|
||
" }\n",
|
||
" }\n",
|
||
"\n",
|
||
" if (best_tickscale != root.data(axis + \"tickscale\")) {\n",
|
||
" root.data(axis + \"tickscale\", best_tickscale);\n",
|
||
" var mark_inscale_gridlines = function (element, i) {\n",
|
||
" var inscale = element.attr(\"gadfly:scale\") == best_tickscale;\n",
|
||
" element.attribute(\"gadfly:inscale\", inscale);\n",
|
||
" element.attr(\"visibility\", inscale ? \"visible\" : \"hidden\");\n",
|
||
" };\n",
|
||
"\n",
|
||
" var mark_inscale_labels = function (element, i) {\n",
|
||
" var inscale = element.attr(\"gadfly:scale\") == best_tickscale;\n",
|
||
" element.attribute(\"gadfly:inscale\", inscale);\n",
|
||
" element.attr(\"visibility\", inscale ? \"visible\" : \"hidden\");\n",
|
||
" };\n",
|
||
"\n",
|
||
" root.select(\".\" + axis + \"gridlines\").selectAll(\"path\").forEach(mark_inscale_gridlines);\n",
|
||
" root.select(\".\" + axis + \"labels\").selectAll(\"text\").forEach(mark_inscale_labels);\n",
|
||
" }\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"var set_plot_pan_zoom = function(root, tx, ty, scale) {\n",
|
||
" var old_scale = root.data(\"scale\");\n",
|
||
" var bounds = root.plotbounds();\n",
|
||
"\n",
|
||
" var width = bounds.x1 - bounds.x0,\n",
|
||
" height = bounds.y1 - bounds.y0;\n",
|
||
"\n",
|
||
" // compute the viewport derived from tx, ty, and scale\n",
|
||
" var x_min = -width * scale - (scale * width - width),\n",
|
||
" x_max = width * scale,\n",
|
||
" y_min = -height * scale - (scale * height - height),\n",
|
||
" y_max = height * scale;\n",
|
||
"\n",
|
||
" var x0 = bounds.x0 - scale * bounds.x0,\n",
|
||
" y0 = bounds.y0 - scale * bounds.y0;\n",
|
||
"\n",
|
||
" var tx = Math.max(Math.min(tx - x0, x_max), x_min),\n",
|
||
" ty = Math.max(Math.min(ty - y0, y_max), y_min);\n",
|
||
"\n",
|
||
" tx += x0;\n",
|
||
" ty += y0;\n",
|
||
"\n",
|
||
" // when the scale change, we may need to alter which set of\n",
|
||
" // ticks is being displayed\n",
|
||
" if (scale != old_scale) {\n",
|
||
" update_tickscale(root, scale, \"x\");\n",
|
||
" update_tickscale(root, scale, \"y\");\n",
|
||
" }\n",
|
||
"\n",
|
||
" set_geometry_transform(root, tx, ty, scale);\n",
|
||
"\n",
|
||
" root.data(\"scale\", scale);\n",
|
||
" root.data(\"tx\", tx);\n",
|
||
" root.data(\"ty\", ty);\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"var scale_centered_translation = function(root, scale) {\n",
|
||
" var bounds = root.plotbounds();\n",
|
||
"\n",
|
||
" var width = bounds.x1 - bounds.x0,\n",
|
||
" height = bounds.y1 - bounds.y0;\n",
|
||
"\n",
|
||
" var tx0 = root.data(\"tx\"),\n",
|
||
" ty0 = root.data(\"ty\");\n",
|
||
"\n",
|
||
" var scale0 = root.data(\"scale\");\n",
|
||
"\n",
|
||
" // how off from center the current view is\n",
|
||
" var xoff = tx0 - (bounds.x0 * (1 - scale0) + (width * (1 - scale0)) / 2),\n",
|
||
" yoff = ty0 - (bounds.y0 * (1 - scale0) + (height * (1 - scale0)) / 2);\n",
|
||
"\n",
|
||
" // rescale offsets\n",
|
||
" xoff = xoff * scale / scale0;\n",
|
||
" yoff = yoff * scale / scale0;\n",
|
||
"\n",
|
||
" // adjust for the panel position being scaled\n",
|
||
" var x_edge_adjust = bounds.x0 * (1 - scale),\n",
|
||
" y_edge_adjust = bounds.y0 * (1 - scale);\n",
|
||
"\n",
|
||
" return {\n",
|
||
" x: xoff + x_edge_adjust + (width - width * scale) / 2,\n",
|
||
" y: yoff + y_edge_adjust + (height - height * scale) / 2\n",
|
||
" };\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"// Initialize data for panning zooming if it isn't already.\n",
|
||
"var init_pan_zoom = function(root) {\n",
|
||
" if (root.data(\"zoompan-ready\")) {\n",
|
||
" return;\n",
|
||
" }\n",
|
||
"\n",
|
||
" // The non-scaling-stroke trick. Rather than try to correct for the\n",
|
||
" // stroke-width when zooming, we force it to a fixed value.\n",
|
||
" var px_per_mm = root.node.getCTM().a;\n",
|
||
"\n",
|
||
" // Drag events report deltas in pixels, which we'd like to convert to\n",
|
||
" // millimeters.\n",
|
||
" root.data(\"px_per_mm\", px_per_mm);\n",
|
||
"\n",
|
||
" root.selectAll(\"path\")\n",
|
||
" .forEach(function (element, i) {\n",
|
||
" sw = element.asPX(\"stroke-width\") * px_per_mm;\n",
|
||
" if (sw > 0) {\n",
|
||
" element.attribute(\"stroke-width\", sw);\n",
|
||
" element.attribute(\"vector-effect\", \"non-scaling-stroke\");\n",
|
||
" }\n",
|
||
" });\n",
|
||
"\n",
|
||
" // Store ticks labels original tranformation\n",
|
||
" root.selectAll(\".xlabels > text, .ylabels > text\")\n",
|
||
" .forEach(function (element, i) {\n",
|
||
" var lm = element.transform().localMatrix;\n",
|
||
" element.data(\"static_transform\",\n",
|
||
" new Snap.Matrix(lm.a, lm.b, lm.c, lm.d, lm.e, lm.f));\n",
|
||
" });\n",
|
||
"\n",
|
||
" var xgridlines = root.select(\".xgridlines\");\n",
|
||
" var ygridlines = root.select(\".ygridlines\");\n",
|
||
" var xlabels = root.select(\".xlabels\");\n",
|
||
" var ylabels = root.select(\".ylabels\");\n",
|
||
"\n",
|
||
" if (root.data(\"tx\") === undefined) root.data(\"tx\", 0);\n",
|
||
" if (root.data(\"ty\") === undefined) root.data(\"ty\", 0);\n",
|
||
" if (root.data(\"scale\") === undefined) root.data(\"scale\", 1.0);\n",
|
||
" if (root.data(\"xtickscales\") === undefined) {\n",
|
||
"\n",
|
||
" // index all the tick scales that are listed\n",
|
||
" var xtickscales = {};\n",
|
||
" var ytickscales = {};\n",
|
||
" var add_x_tick_scales = function (element, i) {\n",
|
||
" xtickscales[element.attribute(\"gadfly:scale\")] = true;\n",
|
||
" };\n",
|
||
" var add_y_tick_scales = function (element, i) {\n",
|
||
" ytickscales[element.attribute(\"gadfly:scale\")] = true;\n",
|
||
" };\n",
|
||
"\n",
|
||
" if (xgridlines) xgridlines.selectAll(\"path\").forEach(add_x_tick_scales);\n",
|
||
" if (ygridlines) ygridlines.selectAll(\"path\").forEach(add_y_tick_scales);\n",
|
||
" if (xlabels) xlabels.selectAll(\"text\").forEach(add_x_tick_scales);\n",
|
||
" if (ylabels) ylabels.selectAll(\"text\").forEach(add_y_tick_scales);\n",
|
||
"\n",
|
||
" root.data(\"xtickscales\", xtickscales);\n",
|
||
" root.data(\"ytickscales\", ytickscales);\n",
|
||
" root.data(\"xtickscale\", 1.0);\n",
|
||
" }\n",
|
||
"\n",
|
||
" var min_scale = 1.0, max_scale = 1.0;\n",
|
||
" for (scale in xtickscales) {\n",
|
||
" min_scale = Math.min(min_scale, scale);\n",
|
||
" max_scale = Math.max(max_scale, scale);\n",
|
||
" }\n",
|
||
" for (scale in ytickscales) {\n",
|
||
" min_scale = Math.min(min_scale, scale);\n",
|
||
" max_scale = Math.max(max_scale, scale);\n",
|
||
" }\n",
|
||
" root.data(\"min_scale\", min_scale);\n",
|
||
" root.data(\"max_scale\", max_scale);\n",
|
||
"\n",
|
||
" // store the original positions of labels\n",
|
||
" if (xlabels) {\n",
|
||
" xlabels.selectAll(\"text\")\n",
|
||
" .forEach(function (element, i) {\n",
|
||
" element.data(\"x\", element.asPX(\"x\"));\n",
|
||
" });\n",
|
||
" }\n",
|
||
"\n",
|
||
" if (ylabels) {\n",
|
||
" ylabels.selectAll(\"text\")\n",
|
||
" .forEach(function (element, i) {\n",
|
||
" element.data(\"y\", element.asPX(\"y\"));\n",
|
||
" });\n",
|
||
" }\n",
|
||
"\n",
|
||
" // mark grid lines and ticks as in or out of scale.\n",
|
||
" var mark_inscale = function (element, i) {\n",
|
||
" element.attribute(\"gadfly:inscale\", element.attribute(\"gadfly:scale\") == 1.0);\n",
|
||
" };\n",
|
||
"\n",
|
||
" if (xgridlines) xgridlines.selectAll(\"path\").forEach(mark_inscale);\n",
|
||
" if (ygridlines) ygridlines.selectAll(\"path\").forEach(mark_inscale);\n",
|
||
" if (xlabels) xlabels.selectAll(\"text\").forEach(mark_inscale);\n",
|
||
" if (ylabels) ylabels.selectAll(\"text\").forEach(mark_inscale);\n",
|
||
"\n",
|
||
" // figure out the upper ond lower bounds on panning using the maximum\n",
|
||
" // and minum grid lines\n",
|
||
" var bounds = root.plotbounds();\n",
|
||
" var pan_bounds = {\n",
|
||
" x0: 0.0,\n",
|
||
" y0: 0.0,\n",
|
||
" x1: 0.0,\n",
|
||
" y1: 0.0\n",
|
||
" };\n",
|
||
"\n",
|
||
" if (xgridlines) {\n",
|
||
" xgridlines\n",
|
||
" .selectAll(\"path\")\n",
|
||
" .forEach(function (element, i) {\n",
|
||
" if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
|
||
" var bbox = element.node.getBBox();\n",
|
||
" if (bounds.x1 - bbox.x < pan_bounds.x0) {\n",
|
||
" pan_bounds.x0 = bounds.x1 - bbox.x;\n",
|
||
" }\n",
|
||
" if (bounds.x0 - bbox.x > pan_bounds.x1) {\n",
|
||
" pan_bounds.x1 = bounds.x0 - bbox.x;\n",
|
||
" }\n",
|
||
" element.attr(\"visibility\", \"visible\");\n",
|
||
" }\n",
|
||
" });\n",
|
||
" }\n",
|
||
"\n",
|
||
" if (ygridlines) {\n",
|
||
" ygridlines\n",
|
||
" .selectAll(\"path\")\n",
|
||
" .forEach(function (element, i) {\n",
|
||
" if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
|
||
" var bbox = element.node.getBBox();\n",
|
||
" if (bounds.y1 - bbox.y < pan_bounds.y0) {\n",
|
||
" pan_bounds.y0 = bounds.y1 - bbox.y;\n",
|
||
" }\n",
|
||
" if (bounds.y0 - bbox.y > pan_bounds.y1) {\n",
|
||
" pan_bounds.y1 = bounds.y0 - bbox.y;\n",
|
||
" }\n",
|
||
" element.attr(\"visibility\", \"visible\");\n",
|
||
" }\n",
|
||
" });\n",
|
||
" }\n",
|
||
"\n",
|
||
" // nudge these values a little\n",
|
||
" pan_bounds.x0 -= 5;\n",
|
||
" pan_bounds.x1 += 5;\n",
|
||
" pan_bounds.y0 -= 5;\n",
|
||
" pan_bounds.y1 += 5;\n",
|
||
" root.data(\"pan_bounds\", pan_bounds);\n",
|
||
"\n",
|
||
" root.data(\"zoompan-ready\", true)\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"// drag actions, i.e. zooming and panning\n",
|
||
"var pan_action = {\n",
|
||
" start: function(root, x, y, event) {\n",
|
||
" root.data(\"dx\", 0);\n",
|
||
" root.data(\"dy\", 0);\n",
|
||
" root.data(\"tx0\", root.data(\"tx\"));\n",
|
||
" root.data(\"ty0\", root.data(\"ty\"));\n",
|
||
" },\n",
|
||
" update: function(root, dx, dy, x, y, event) {\n",
|
||
" var px_per_mm = root.data(\"px_per_mm\");\n",
|
||
" dx /= px_per_mm;\n",
|
||
" dy /= px_per_mm;\n",
|
||
"\n",
|
||
" var tx0 = root.data(\"tx\"),\n",
|
||
" ty0 = root.data(\"ty\");\n",
|
||
"\n",
|
||
" var dx0 = root.data(\"dx\"),\n",
|
||
" dy0 = root.data(\"dy\");\n",
|
||
"\n",
|
||
" root.data(\"dx\", dx);\n",
|
||
" root.data(\"dy\", dy);\n",
|
||
"\n",
|
||
" dx = dx - dx0;\n",
|
||
" dy = dy - dy0;\n",
|
||
"\n",
|
||
" var tx = tx0 + dx,\n",
|
||
" ty = ty0 + dy;\n",
|
||
"\n",
|
||
" set_plot_pan_zoom(root, tx, ty, root.data(\"scale\"));\n",
|
||
" },\n",
|
||
" end: function(root, event) {\n",
|
||
"\n",
|
||
" },\n",
|
||
" cancel: function(root) {\n",
|
||
" set_plot_pan_zoom(root, root.data(\"tx0\"), root.data(\"ty0\"), root.data(\"scale\"));\n",
|
||
" }\n",
|
||
"};\n",
|
||
"\n",
|
||
"var zoom_box;\n",
|
||
"var zoom_action = {\n",
|
||
" start: function(root, x, y, event) {\n",
|
||
" var bounds = root.plotbounds();\n",
|
||
" var width = bounds.x1 - bounds.x0,\n",
|
||
" height = bounds.y1 - bounds.y0;\n",
|
||
" var ratio = width / height;\n",
|
||
" var xscalable = root.hasClass(\"xscalable\"),\n",
|
||
" yscalable = root.hasClass(\"yscalable\");\n",
|
||
" var px_per_mm = root.data(\"px_per_mm\");\n",
|
||
" x = xscalable ? x / px_per_mm : bounds.x0;\n",
|
||
" y = yscalable ? y / px_per_mm : bounds.y0;\n",
|
||
" var w = xscalable ? 0 : width;\n",
|
||
" var h = yscalable ? 0 : height;\n",
|
||
" zoom_box = root.rect(x, y, w, h).attr({\n",
|
||
" \"fill\": \"#000\",\n",
|
||
" \"opacity\": 0.25\n",
|
||
" });\n",
|
||
" zoom_box.data(\"ratio\", ratio);\n",
|
||
" },\n",
|
||
" update: function(root, dx, dy, x, y, event) {\n",
|
||
" var xscalable = root.hasClass(\"xscalable\"),\n",
|
||
" yscalable = root.hasClass(\"yscalable\");\n",
|
||
" var px_per_mm = root.data(\"px_per_mm\");\n",
|
||
" var bounds = root.plotbounds();\n",
|
||
" if (yscalable) {\n",
|
||
" y /= px_per_mm;\n",
|
||
" y = Math.max(bounds.y0, y);\n",
|
||
" y = Math.min(bounds.y1, y);\n",
|
||
" } else {\n",
|
||
" y = bounds.y1;\n",
|
||
" }\n",
|
||
" if (xscalable) {\n",
|
||
" x /= px_per_mm;\n",
|
||
" x = Math.max(bounds.x0, x);\n",
|
||
" x = Math.min(bounds.x1, x);\n",
|
||
" } else {\n",
|
||
" x = bounds.x1;\n",
|
||
" }\n",
|
||
"\n",
|
||
" dx = x - zoom_box.attr(\"x\");\n",
|
||
" dy = y - zoom_box.attr(\"y\");\n",
|
||
" if (xscalable && yscalable) {\n",
|
||
" var ratio = zoom_box.data(\"ratio\");\n",
|
||
" var width = Math.min(Math.abs(dx), ratio * Math.abs(dy));\n",
|
||
" var height = Math.min(Math.abs(dy), Math.abs(dx) / ratio);\n",
|
||
" dx = width * dx / Math.abs(dx);\n",
|
||
" dy = height * dy / Math.abs(dy);\n",
|
||
" }\n",
|
||
" var xoffset = 0,\n",
|
||
" yoffset = 0;\n",
|
||
" if (dx < 0) {\n",
|
||
" xoffset = dx;\n",
|
||
" dx = -1 * dx;\n",
|
||
" }\n",
|
||
" if (dy < 0) {\n",
|
||
" yoffset = dy;\n",
|
||
" dy = -1 * dy;\n",
|
||
" }\n",
|
||
" if (isNaN(dy)) {\n",
|
||
" dy = 0.0;\n",
|
||
" }\n",
|
||
" if (isNaN(dx)) {\n",
|
||
" dx = 0.0;\n",
|
||
" }\n",
|
||
" zoom_box.transform(\"T\" + xoffset + \",\" + yoffset);\n",
|
||
" zoom_box.attr(\"width\", dx);\n",
|
||
" zoom_box.attr(\"height\", dy);\n",
|
||
" },\n",
|
||
" end: function(root, event) {\n",
|
||
" var xscalable = root.hasClass(\"xscalable\"),\n",
|
||
" yscalable = root.hasClass(\"yscalable\");\n",
|
||
" var zoom_bounds = zoom_box.getBBox();\n",
|
||
" if (zoom_bounds.width * zoom_bounds.height <= 0) {\n",
|
||
" return;\n",
|
||
" }\n",
|
||
" var plot_bounds = root.plotbounds();\n",
|
||
" var zoom_factor = 1.0;\n",
|
||
" if (yscalable) {\n",
|
||
" zoom_factor = (plot_bounds.y1 - plot_bounds.y0) / zoom_bounds.height;\n",
|
||
" } else {\n",
|
||
" zoom_factor = (plot_bounds.x1 - plot_bounds.x0) / zoom_bounds.width;\n",
|
||
" }\n",
|
||
" var tx = (root.data(\"tx\") - zoom_bounds.x) * zoom_factor + plot_bounds.x0,\n",
|
||
" ty = (root.data(\"ty\") - zoom_bounds.y) * zoom_factor + plot_bounds.y0;\n",
|
||
" set_plot_pan_zoom(root, tx, ty, root.data(\"scale\") * zoom_factor);\n",
|
||
" zoom_box.remove();\n",
|
||
" },\n",
|
||
" cancel: function(root) {\n",
|
||
" zoom_box.remove();\n",
|
||
" }\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"Gadfly.guide_background_drag_onstart = function(x, y, event) {\n",
|
||
" var root = this.plotroot();\n",
|
||
" var scalable = root.hasClass(\"xscalable\") || root.hasClass(\"yscalable\");\n",
|
||
" var zoomable = !event.altKey && !event.ctrlKey && event.shiftKey && scalable;\n",
|
||
" var panable = !event.altKey && !event.ctrlKey && !event.shiftKey && scalable;\n",
|
||
" var drag_action = zoomable ? zoom_action :\n",
|
||
" panable ? pan_action :\n",
|
||
" undefined;\n",
|
||
" root.data(\"drag_action\", drag_action);\n",
|
||
" if (drag_action) {\n",
|
||
" var cancel_drag_action = function(event) {\n",
|
||
" if (event.which == 27) { // esc key\n",
|
||
" drag_action.cancel(root);\n",
|
||
" root.data(\"drag_action\", undefined);\n",
|
||
" }\n",
|
||
" };\n",
|
||
" window.addEventListener(\"keyup\", cancel_drag_action);\n",
|
||
" root.data(\"cancel_drag_action\", cancel_drag_action);\n",
|
||
" drag_action.start(root, x, y, event);\n",
|
||
" }\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"Gadfly.guide_background_drag_onmove = function(dx, dy, x, y, event) {\n",
|
||
" var root = this.plotroot();\n",
|
||
" var drag_action = root.data(\"drag_action\");\n",
|
||
" if (drag_action) {\n",
|
||
" drag_action.update(root, dx, dy, x, y, event);\n",
|
||
" }\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"Gadfly.guide_background_drag_onend = function(event) {\n",
|
||
" var root = this.plotroot();\n",
|
||
" window.removeEventListener(\"keyup\", root.data(\"cancel_drag_action\"));\n",
|
||
" root.data(\"cancel_drag_action\", undefined);\n",
|
||
" var drag_action = root.data(\"drag_action\");\n",
|
||
" if (drag_action) {\n",
|
||
" drag_action.end(root, event);\n",
|
||
" }\n",
|
||
" root.data(\"drag_action\", undefined);\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"Gadfly.guide_background_scroll = function(event) {\n",
|
||
" if (event.shiftKey) {\n",
|
||
" increase_zoom_by_position(this.plotroot(), 0.001 * event.wheelDelta);\n",
|
||
" event.preventDefault();\n",
|
||
" }\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"Gadfly.zoomslider_button_mouseover = function(event) {\n",
|
||
" this.select(\".button_logo\")\n",
|
||
" .animate({fill: this.data(\"mouseover_color\")}, 100);\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"Gadfly.zoomslider_button_mouseout = function(event) {\n",
|
||
" this.select(\".button_logo\")\n",
|
||
" .animate({fill: this.data(\"mouseout_color\")}, 100);\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"Gadfly.zoomslider_zoomout_click = function(event) {\n",
|
||
" increase_zoom_by_position(this.plotroot(), -0.1, true);\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"Gadfly.zoomslider_zoomin_click = function(event) {\n",
|
||
" increase_zoom_by_position(this.plotroot(), 0.1, true);\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"Gadfly.zoomslider_track_click = function(event) {\n",
|
||
" // TODO\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"// Map slider position x to scale y using the function y = a*exp(b*x)+c.\n",
|
||
"// The constants a, b, and c are solved using the constraint that the function\n",
|
||
"// should go through the points (0; min_scale), (0.5; 1), and (1; max_scale).\n",
|
||
"var scale_from_slider_position = function(position, min_scale, max_scale) {\n",
|
||
" var a = (1 - 2 * min_scale + min_scale * min_scale) / (min_scale + max_scale - 2),\n",
|
||
" b = 2 * Math.log((max_scale - 1) / (1 - min_scale)),\n",
|
||
" c = (min_scale * max_scale - 1) / (min_scale + max_scale - 2);\n",
|
||
" return a * Math.exp(b * position) + c;\n",
|
||
"}\n",
|
||
"\n",
|
||
"// inverse of scale_from_slider_position\n",
|
||
"var slider_position_from_scale = function(scale, min_scale, max_scale) {\n",
|
||
" var a = (1 - 2 * min_scale + min_scale * min_scale) / (min_scale + max_scale - 2),\n",
|
||
" b = 2 * Math.log((max_scale - 1) / (1 - min_scale)),\n",
|
||
" c = (min_scale * max_scale - 1) / (min_scale + max_scale - 2);\n",
|
||
" return 1 / b * Math.log((scale - c) / a);\n",
|
||
"}\n",
|
||
"\n",
|
||
"var increase_zoom_by_position = function(root, delta_position, animate) {\n",
|
||
" var scale = root.data(\"scale\"),\n",
|
||
" min_scale = root.data(\"min_scale\"),\n",
|
||
" max_scale = root.data(\"max_scale\");\n",
|
||
" var position = slider_position_from_scale(scale, min_scale, max_scale);\n",
|
||
" position += delta_position;\n",
|
||
" scale = scale_from_slider_position(position, min_scale, max_scale);\n",
|
||
" set_zoom(root, scale, animate);\n",
|
||
"}\n",
|
||
"\n",
|
||
"var set_zoom = function(root, scale, animate) {\n",
|
||
" var min_scale = root.data(\"min_scale\"),\n",
|
||
" max_scale = root.data(\"max_scale\"),\n",
|
||
" old_scale = root.data(\"scale\");\n",
|
||
" var new_scale = Math.max(min_scale, Math.min(scale, max_scale));\n",
|
||
" if (animate) {\n",
|
||
" Snap.animate(\n",
|
||
" old_scale,\n",
|
||
" new_scale,\n",
|
||
" function (new_scale) {\n",
|
||
" update_plot_scale(root, new_scale);\n",
|
||
" },\n",
|
||
" 200);\n",
|
||
" } else {\n",
|
||
" update_plot_scale(root, new_scale);\n",
|
||
" }\n",
|
||
"}\n",
|
||
"\n",
|
||
"\n",
|
||
"var update_plot_scale = function(root, new_scale) {\n",
|
||
" var trans = scale_centered_translation(root, new_scale);\n",
|
||
" set_plot_pan_zoom(root, trans.x, trans.y, new_scale);\n",
|
||
"\n",
|
||
" root.selectAll(\".zoomslider_thumb\")\n",
|
||
" .forEach(function (element, i) {\n",
|
||
" var min_pos = element.data(\"min_pos\"),\n",
|
||
" max_pos = element.data(\"max_pos\"),\n",
|
||
" min_scale = root.data(\"min_scale\"),\n",
|
||
" max_scale = root.data(\"max_scale\");\n",
|
||
" var xmid = (min_pos + max_pos) / 2;\n",
|
||
" var xpos = slider_position_from_scale(new_scale, min_scale, max_scale);\n",
|
||
" element.transform(new Snap.Matrix().translate(\n",
|
||
" Math.max(min_pos, Math.min(\n",
|
||
" max_pos, min_pos + (max_pos - min_pos) * xpos)) - xmid, 0));\n",
|
||
" });\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"Gadfly.zoomslider_thumb_dragmove = function(dx, dy, x, y, event) {\n",
|
||
" var root = this.plotroot();\n",
|
||
" var min_pos = this.data(\"min_pos\"),\n",
|
||
" max_pos = this.data(\"max_pos\"),\n",
|
||
" min_scale = root.data(\"min_scale\"),\n",
|
||
" max_scale = root.data(\"max_scale\"),\n",
|
||
" old_scale = root.data(\"old_scale\");\n",
|
||
"\n",
|
||
" var px_per_mm = root.data(\"px_per_mm\");\n",
|
||
" dx /= px_per_mm;\n",
|
||
" dy /= px_per_mm;\n",
|
||
"\n",
|
||
" var xmid = (min_pos + max_pos) / 2;\n",
|
||
" var xpos = slider_position_from_scale(old_scale, min_scale, max_scale) +\n",
|
||
" dx / (max_pos - min_pos);\n",
|
||
"\n",
|
||
" // compute the new scale\n",
|
||
" var new_scale = scale_from_slider_position(xpos, min_scale, max_scale);\n",
|
||
" new_scale = Math.min(max_scale, Math.max(min_scale, new_scale));\n",
|
||
"\n",
|
||
" update_plot_scale(root, new_scale);\n",
|
||
" event.stopPropagation();\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"Gadfly.zoomslider_thumb_dragstart = function(x, y, event) {\n",
|
||
" this.animate({fill: this.data(\"mouseover_color\")}, 100);\n",
|
||
" var root = this.plotroot();\n",
|
||
"\n",
|
||
" // keep track of what the scale was when we started dragging\n",
|
||
" root.data(\"old_scale\", root.data(\"scale\"));\n",
|
||
" event.stopPropagation();\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"Gadfly.zoomslider_thumb_dragend = function(event) {\n",
|
||
" this.animate({fill: this.data(\"mouseout_color\")}, 100);\n",
|
||
" event.stopPropagation();\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"var toggle_color_class = function(root, color_class, ison) {\n",
|
||
" var guides = root.selectAll(\".guide.\" + color_class + \",.guide .\" + color_class);\n",
|
||
" var geoms = root.selectAll(\".geometry.\" + color_class + \",.geometry .\" + color_class);\n",
|
||
" if (ison) {\n",
|
||
" guides.animate({opacity: 0.5}, 250);\n",
|
||
" geoms.animate({opacity: 0.0}, 250);\n",
|
||
" } else {\n",
|
||
" guides.animate({opacity: 1.0}, 250);\n",
|
||
" geoms.animate({opacity: 1.0}, 250);\n",
|
||
" }\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"Gadfly.colorkey_swatch_click = function(event) {\n",
|
||
" var root = this.plotroot();\n",
|
||
" var color_class = this.data(\"color_class\");\n",
|
||
"\n",
|
||
" if (event.shiftKey) {\n",
|
||
" root.selectAll(\".colorkey text\")\n",
|
||
" .forEach(function (element) {\n",
|
||
" var other_color_class = element.data(\"color_class\");\n",
|
||
" if (other_color_class != color_class) {\n",
|
||
" toggle_color_class(root, other_color_class,\n",
|
||
" element.attr(\"opacity\") == 1.0);\n",
|
||
" }\n",
|
||
" });\n",
|
||
" } else {\n",
|
||
" toggle_color_class(root, color_class, this.attr(\"opacity\") == 1.0);\n",
|
||
" }\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"return Gadfly;\n",
|
||
"\n",
|
||
"}));\n",
|
||
"\n",
|
||
"\n",
|
||
"//@ sourceURL=gadfly.js\n",
|
||
"\n",
|
||
"(function (glob, factory) {\n",
|
||
" // AMD support\n",
|
||
" if (typeof require === \"function\" && typeof define === \"function\" && define.amd) {\n",
|
||
" require([\"Snap.svg\", \"Gadfly\"], function (Snap, Gadfly) {\n",
|
||
" factory(Snap, Gadfly);\n",
|
||
" });\n",
|
||
" } else {\n",
|
||
" factory(glob.Snap, glob.Gadfly);\n",
|
||
" }\n",
|
||
"})(window, function (Snap, Gadfly) {\n",
|
||
" var fig = Snap(\"#fig-3a6dd25ad25c4037a166889ee51bb151\");\n",
|
||
"fig.select(\"#fig-3a6dd25ad25c4037a166889ee51bb151-element-8\")\n",
|
||
" .init_gadfly();\n",
|
||
"fig.select(\"#fig-3a6dd25ad25c4037a166889ee51bb151-element-11\")\n",
|
||
" .plotroot().data(\"unfocused_ygrid_color\", \"#D0D0E0\")\n",
|
||
";\n",
|
||
"fig.select(\"#fig-3a6dd25ad25c4037a166889ee51bb151-element-11\")\n",
|
||
" .plotroot().data(\"focused_ygrid_color\", \"#A0A0A0\")\n",
|
||
";\n",
|
||
"fig.select(\"#fig-3a6dd25ad25c4037a166889ee51bb151-element-12\")\n",
|
||
" .plotroot().data(\"unfocused_xgrid_color\", \"#D0D0E0\")\n",
|
||
";\n",
|
||
"fig.select(\"#fig-3a6dd25ad25c4037a166889ee51bb151-element-12\")\n",
|
||
" .plotroot().data(\"focused_xgrid_color\", \"#A0A0A0\")\n",
|
||
";\n",
|
||
"fig.select(\"#fig-3a6dd25ad25c4037a166889ee51bb151-element-16\")\n",
|
||
" .data(\"mouseover_color\", \"#CD5C5C\")\n",
|
||
";\n",
|
||
"fig.select(\"#fig-3a6dd25ad25c4037a166889ee51bb151-element-16\")\n",
|
||
" .data(\"mouseout_color\", \"#6A6A6A\")\n",
|
||
";\n",
|
||
"fig.select(\"#fig-3a6dd25ad25c4037a166889ee51bb151-element-16\")\n",
|
||
" .click(Gadfly.zoomslider_zoomin_click)\n",
|
||
".mouseenter(Gadfly.zoomslider_button_mouseover)\n",
|
||
".mouseleave(Gadfly.zoomslider_button_mouseout)\n",
|
||
";\n",
|
||
"fig.select(\"#fig-3a6dd25ad25c4037a166889ee51bb151-element-18\")\n",
|
||
" .data(\"max_pos\", 111.58)\n",
|
||
";\n",
|
||
"fig.select(\"#fig-3a6dd25ad25c4037a166889ee51bb151-element-18\")\n",
|
||
" .data(\"min_pos\", 94.58)\n",
|
||
";\n",
|
||
"fig.select(\"#fig-3a6dd25ad25c4037a166889ee51bb151-element-18\")\n",
|
||
" .click(Gadfly.zoomslider_track_click);\n",
|
||
"fig.select(\"#fig-3a6dd25ad25c4037a166889ee51bb151-element-19\")\n",
|
||
" .data(\"max_pos\", 111.58)\n",
|
||
";\n",
|
||
"fig.select(\"#fig-3a6dd25ad25c4037a166889ee51bb151-element-19\")\n",
|
||
" .data(\"min_pos\", 94.58)\n",
|
||
";\n",
|
||
"fig.select(\"#fig-3a6dd25ad25c4037a166889ee51bb151-element-19\")\n",
|
||
" .data(\"mouseover_color\", \"#CD5C5C\")\n",
|
||
";\n",
|
||
"fig.select(\"#fig-3a6dd25ad25c4037a166889ee51bb151-element-19\")\n",
|
||
" .data(\"mouseout_color\", \"#6A6A6A\")\n",
|
||
";\n",
|
||
"fig.select(\"#fig-3a6dd25ad25c4037a166889ee51bb151-element-19\")\n",
|
||
" .drag(Gadfly.zoomslider_thumb_dragmove,\n",
|
||
" Gadfly.zoomslider_thumb_dragstart,\n",
|
||
" Gadfly.zoomslider_thumb_dragend)\n",
|
||
";\n",
|
||
"fig.select(\"#fig-3a6dd25ad25c4037a166889ee51bb151-element-20\")\n",
|
||
" .data(\"mouseover_color\", \"#CD5C5C\")\n",
|
||
";\n",
|
||
"fig.select(\"#fig-3a6dd25ad25c4037a166889ee51bb151-element-20\")\n",
|
||
" .data(\"mouseout_color\", \"#6A6A6A\")\n",
|
||
";\n",
|
||
"fig.select(\"#fig-3a6dd25ad25c4037a166889ee51bb151-element-20\")\n",
|
||
" .click(Gadfly.zoomslider_zoomout_click)\n",
|
||
".mouseenter(Gadfly.zoomslider_button_mouseover)\n",
|
||
".mouseleave(Gadfly.zoomslider_button_mouseout)\n",
|
||
";\n",
|
||
" });\n",
|
||
"]]> </script>\n",
|
||
"</svg>\n"
|
||
],
|
||
"text/plain": [
|
||
"Plot(...)"
|
||
]
|
||
},
|
||
"execution_count": 4,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"initial = ones(5) * S0\n",
|
||
"# Using μ=0, T=.25 for now, we'll use the proper values later\n",
|
||
"motion = simulate_gbm(initial, 0, σ, .25, 200) \n",
|
||
"\n",
|
||
"display_motion(motion, .25)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"### Computing the term structure\n",
|
||
"\n",
|
||
"Now that we've got the basic motion set up, let's start making things a bit more sophisticated for the model. We're going to assume that the drift of the stock is the difference between the implied forward rate and the quarterly dividend rate.\n",
|
||
"\n",
|
||
"We're given the yearly term structure, and need to calculate the quarterly forward rate to match this structure. The term structure is assumed to follow:\n",
|
||
"\n",
|
||
"$d(0, t) = d(0,t-1)\\cdot f_{i-1, i}$\n",
|
||
"\n",
|
||
"Where $f_{i-1, i}$ is the quarterly forward rate."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 5,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"forward_term = function(yearly_term)\n",
|
||
" # It is assumed that we have a yearly term structure passed in, and starts at year 0\n",
|
||
" # This implies a nominal rate above 0 for the first year!\n",
|
||
" years = length(term)-1 # because we start at 0\n",
|
||
" structure = [(term[i+1] / term[i]) for i=1:years]\n",
|
||
"end;"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"### Illustrating the term structure\n",
|
||
"\n",
|
||
"Now that we've got our term structure, let's validate that we're getting the correct results! If we've done this correctly, then:\n",
|
||
"\n",
|
||
"```\n",
|
||
"term[2] == term[1] * structure[1]\n",
|
||
"```"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 6,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Actual term[2]: 1.0049; Calculated term[2]: 1.0049\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Example term structure taken from:\n",
|
||
"# http://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yield\n",
|
||
"# Linear interpolation used years in-between periods, assuming real-dollar\n",
|
||
"# interest rates\n",
|
||
"forward_yield = forward_term(term)\n",
|
||
"calculated_term2 = term[1] * forward_yield[1]\n",
|
||
"\n",
|
||
"println(\"Actual term[2]: $(term[2]); Calculated term[2]: $(calculated_term2)\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"### The full underlying simulation\n",
|
||
"\n",
|
||
"Now that we have the term structure set up, we can actually start doing some real simulation! Let's construct some paths through the full 5-year time frame. In order to do this, we will simulate 1 year at a time, and use the forward rates at those times to compute the drift. Thus, there will be 5 total simulations batched together."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 7,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": "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",
|
||
"image/svg+xml": [
|
||
"<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n",
|
||
"<svg xmlns=\"http://www.w3.org/2000/svg\"\n",
|
||
" xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
|
||
" xmlns:gadfly=\"http://www.gadflyjl.org/ns\"\n",
|
||
" version=\"1.2\"\n",
|
||
" width=\"141.42mm\" height=\"100mm\" viewBox=\"0 0 141.42 100\"\n",
|
||
" stroke=\"none\"\n",
|
||
" fill=\"#000000\"\n",
|
||
" stroke-width=\"0.3\"\n",
|
||
" font-size=\"3.88\"\n",
|
||
">\n",
|
||
"<g class=\"plotroot xscalable yscalable\" id=\"fig-7aaa8130fd5d4b6da423c495113b6271-element-1\">\n",
|
||
" <g font-size=\"3.88\" font-family=\"'PT Sans','Helvetica Neue','Helvetica',sans-serif\" fill=\"#564A55\" stroke=\"#000000\" stroke-opacity=\"0.000\" id=\"fig-7aaa8130fd5d4b6da423c495113b6271-element-2\">\n",
|
||
" <text x=\"73.61\" y=\"88.39\" text-anchor=\"middle\" dy=\"0.6em\">Years</text>\n",
|
||
" </g>\n",
|
||
" <g class=\"guide colorkey\" id=\"fig-7aaa8130fd5d4b6da423c495113b6271-element-3\">\n",
|
||
" <g font-size=\"2.82\" font-family=\"'PT Sans','Helvetica Neue','Helvetica',sans-serif\" fill=\"#4C404B\" id=\"fig-7aaa8130fd5d4b6da423c495113b6271-element-4\">\n",
|
||
" <text x=\"131.9\" y=\"66.46\" dy=\"0.35em\">1</text>\n",
|
||
" <text x=\"131.9\" y=\"39.15\" dy=\"0.35em\">5</text>\n",
|
||
" <text x=\"131.9\" y=\"59.63\" dy=\"0.35em\">2</text>\n",
|
||
" <text x=\"131.9\" y=\"52.81\" dy=\"0.35em\">3</text>\n",
|
||
" <text x=\"131.9\" y=\"45.98\" dy=\"0.35em\">4</text>\n",
|
||
" </g>\n",
|
||
" <g shape-rendering=\"crispEdges\" stroke=\"#000000\" stroke-opacity=\"0.000\" id=\"fig-7aaa8130fd5d4b6da423c495113b6271-element-5\">\n",
|
||
" <rect x=\"129.58\" y=\"65.78\" width=\"1.31\" height=\"0.68\" fill=\"#004D84\"/>\n",
|
||
" <rect x=\"129.58\" y=\"65.1\" width=\"1.31\" height=\"0.68\" fill=\"#005B8D\"/>\n",
|
||
" <rect x=\"129.58\" y=\"64.41\" width=\"1.31\" height=\"0.68\" fill=\"#006995\"/>\n",
|
||
" <rect x=\"129.58\" y=\"63.73\" width=\"1.31\" height=\"0.68\" fill=\"#00769D\"/>\n",
|
||
" <rect x=\"129.58\" y=\"63.05\" width=\"1.31\" height=\"0.68\" fill=\"#0083A3\"/>\n",
|
||
" <rect x=\"129.58\" y=\"62.36\" width=\"1.31\" height=\"0.68\" fill=\"#278FA9\"/>\n",
|
||
" <rect x=\"129.58\" y=\"61.68\" width=\"1.31\" height=\"0.68\" fill=\"#409BAF\"/>\n",
|
||
" <rect x=\"129.58\" y=\"61\" width=\"1.31\" height=\"0.68\" fill=\"#55A7B5\"/>\n",
|
||
" <rect x=\"129.58\" y=\"60.32\" width=\"1.31\" height=\"0.68\" fill=\"#69B2BA\"/>\n",
|
||
" <rect x=\"129.58\" y=\"59.63\" width=\"1.31\" height=\"0.68\" fill=\"#7BBCC0\"/>\n",
|
||
" <rect x=\"129.58\" y=\"58.95\" width=\"1.31\" height=\"0.68\" fill=\"#8DC6C5\"/>\n",
|
||
" <rect x=\"129.58\" y=\"58.27\" width=\"1.31\" height=\"0.68\" fill=\"#9ED0CB\"/>\n",
|
||
" <rect x=\"129.58\" y=\"57.59\" width=\"1.31\" height=\"0.68\" fill=\"#A5CFC7\"/>\n",
|
||
" <rect x=\"129.58\" y=\"56.9\" width=\"1.31\" height=\"0.68\" fill=\"#ABCEC4\"/>\n",
|
||
" <rect x=\"129.58\" y=\"56.22\" width=\"1.31\" height=\"0.68\" fill=\"#B1CCC2\"/>\n",
|
||
" <rect x=\"129.58\" y=\"55.54\" width=\"1.31\" height=\"0.68\" fill=\"#B5CCC1\"/>\n",
|
||
" <rect x=\"129.58\" y=\"54.85\" width=\"1.31\" height=\"0.68\" fill=\"#B7CBBF\"/>\n",
|
||
" <rect x=\"129.58\" y=\"54.17\" width=\"1.31\" height=\"0.68\" fill=\"#B9CBBD\"/>\n",
|
||
" <rect x=\"129.58\" y=\"53.49\" width=\"1.31\" height=\"0.68\" fill=\"#BBCBBB\"/>\n",
|
||
" <rect x=\"129.58\" y=\"52.81\" width=\"1.31\" height=\"0.68\" fill=\"#BDCABA\"/>\n",
|
||
" <rect x=\"129.58\" y=\"52.12\" width=\"1.31\" height=\"0.68\" fill=\"#BFCAB8\"/>\n",
|
||
" <rect x=\"129.58\" y=\"51.44\" width=\"1.31\" height=\"0.68\" fill=\"#C2C9B7\"/>\n",
|
||
" <rect x=\"129.58\" y=\"50.76\" width=\"1.31\" height=\"0.68\" fill=\"#C4C9B6\"/>\n",
|
||
" <rect x=\"129.58\" y=\"50.07\" width=\"1.31\" height=\"0.68\" fill=\"#C6C8B5\"/>\n",
|
||
" <rect x=\"129.58\" y=\"49.39\" width=\"1.31\" height=\"0.68\" fill=\"#C9C7B4\"/>\n",
|
||
" <rect x=\"129.58\" y=\"48.71\" width=\"1.31\" height=\"0.68\" fill=\"#CCC7B2\"/>\n",
|
||
" <rect x=\"129.58\" y=\"48.03\" width=\"1.31\" height=\"0.68\" fill=\"#CFC6AE\"/>\n",
|
||
" <rect x=\"129.58\" y=\"47.34\" width=\"1.31\" height=\"0.68\" fill=\"#D4C5AA\"/>\n",
|
||
" <rect x=\"129.58\" y=\"46.66\" width=\"1.31\" height=\"0.68\" fill=\"#D8C3A6\"/>\n",
|
||
" <rect x=\"129.58\" y=\"45.98\" width=\"1.31\" height=\"0.68\" fill=\"#D3B79A\"/>\n",
|
||
" <rect x=\"129.58\" y=\"45.3\" width=\"1.31\" height=\"0.68\" fill=\"#CDAB8E\"/>\n",
|
||
" <rect x=\"129.58\" y=\"44.61\" width=\"1.31\" height=\"0.68\" fill=\"#C89E82\"/>\n",
|
||
" <rect x=\"129.58\" y=\"43.93\" width=\"1.31\" height=\"0.68\" fill=\"#C19177\"/>\n",
|
||
" <rect x=\"129.58\" y=\"43.25\" width=\"1.31\" height=\"0.68\" fill=\"#BA836C\"/>\n",
|
||
" <rect x=\"129.58\" y=\"42.56\" width=\"1.31\" height=\"0.68\" fill=\"#B27563\"/>\n",
|
||
" <rect x=\"129.58\" y=\"41.88\" width=\"1.31\" height=\"0.68\" fill=\"#AA665A\"/>\n",
|
||
" <rect x=\"129.58\" y=\"41.2\" width=\"1.31\" height=\"0.68\" fill=\"#A05752\"/>\n",
|
||
" <rect x=\"129.58\" y=\"40.52\" width=\"1.31\" height=\"0.68\" fill=\"#96484A\"/>\n",
|
||
" <rect x=\"129.58\" y=\"39.83\" width=\"1.31\" height=\"0.68\" fill=\"#8B3844\"/>\n",
|
||
" <rect x=\"129.58\" y=\"39.15\" width=\"1.31\" height=\"0.68\" fill=\"#7E273E\"/>\n",
|
||
" <g stroke=\"#FFFFFF\" stroke-width=\"0.2\" id=\"fig-7aaa8130fd5d4b6da423c495113b6271-element-6\">\n",
|
||
" <path fill=\"none\" d=\"M129.58,66.46 L 130.9 66.46\"/>\n",
|
||
" <path fill=\"none\" d=\"M129.58,39.15 L 130.9 39.15\"/>\n",
|
||
" <path fill=\"none\" d=\"M129.58,59.63 L 130.9 59.63\"/>\n",
|
||
" <path fill=\"none\" d=\"M129.58,52.81 L 130.9 52.81\"/>\n",
|
||
" <path fill=\"none\" d=\"M129.58,45.98 L 130.9 45.98\"/>\n",
|
||
" </g>\n",
|
||
" </g>\n",
|
||
" <g fill=\"#362A35\" font-size=\"3.88\" font-family=\"'PT Sans','Helvetica Neue','Helvetica',sans-serif\" stroke=\"#000000\" stroke-opacity=\"0.000\" id=\"fig-7aaa8130fd5d4b6da423c495113b6271-element-7\">\n",
|
||
" <text x=\"129.58\" y=\"35.15\">Color</text>\n",
|
||
" </g>\n",
|
||
" </g>\n",
|
||
" <g clip-path=\"url(#fig-7aaa8130fd5d4b6da423c495113b6271-element-9)\" id=\"fig-7aaa8130fd5d4b6da423c495113b6271-element-8\">\n",
|
||
" <g pointer-events=\"visible\" opacity=\"1\" fill=\"#000000\" fill-opacity=\"0.000\" stroke=\"#000000\" stroke-opacity=\"0.000\" class=\"guide background\" id=\"fig-7aaa8130fd5d4b6da423c495113b6271-element-10\">\n",
|
||
" <rect x=\"19.63\" y=\"5\" width=\"107.95\" height=\"80.39\"/>\n",
|
||
" </g>\n",
|
||
" <g class=\"guide ygridlines xfixed\" stroke-dasharray=\"0.5,0.5\" stroke-width=\"0.2\" stroke=\"#D0D0E0\" id=\"fig-7aaa8130fd5d4b6da423c495113b6271-element-11\">\n",
|
||
" <path fill=\"none\" d=\"M19.63,83.39 L 127.58 83.39\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,64.29 L 127.58 64.29\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,45.19 L 127.58 45.19\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,26.1 L 127.58 26.1\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,7 L 127.58 7\"/>\n",
|
||
" </g>\n",
|
||
" <g class=\"guide xgridlines yfixed\" stroke-dasharray=\"0.5,0.5\" stroke-width=\"0.2\" stroke=\"#D0D0E0\" id=\"fig-7aaa8130fd5d4b6da423c495113b6271-element-12\">\n",
|
||
" <path fill=\"none\" d=\"M42.36,5 L 42.36 85.39\"/>\n",
|
||
" <path fill=\"none\" d=\"M63.16,5 L 63.16 85.39\"/>\n",
|
||
" <path fill=\"none\" d=\"M83.97,5 L 83.97 85.39\"/>\n",
|
||
" <path fill=\"none\" d=\"M104.78,5 L 104.78 85.39\"/>\n",
|
||
" <path fill=\"none\" d=\"M125.58,5 L 125.58 85.39\"/>\n",
|
||
" </g>\n",
|
||
" <g class=\"plotpanel\" id=\"fig-7aaa8130fd5d4b6da423c495113b6271-element-13\">\n",
|
||
" <g stroke-width=\"0.3\" fill=\"#000000\" fill-opacity=\"0.000\" stroke-dasharray=\"none\" id=\"fig-7aaa8130fd5d4b6da423c495113b6271-element-14\">\n",
|
||
" <path fill=\"none\" d=\"M21.63,44.35 L 21.71 44.35 21.8 43.97 21.88 43.58 21.96 44.11 22.05 44.51 22.13 44.36 22.21 43.9 22.3 44.9 22.38 44.41 22.46 44.06 22.55 43.83 22.63 44.27 22.71 44.77 22.8 44.85 22.88 44.96 22.96 44.81 23.05 45.52 23.13 45.7 23.21 45.09 23.29 45.27 23.38 45.88 23.46 46.09 23.54 46.47 23.63 45.86 23.71 45.27 23.79 45.01 23.88 44.75 23.96 44.61 24.04 44.64 24.13 44.75 24.21 44.8 24.29 45.12 24.38 44.86 24.46 45.63 24.54 45.85 24.63 46.03 24.71 45.9 24.79 45.22 24.88 45.34 24.96 45.71 25.04 45.72 25.12 45.84 25.21 46.02 25.29 45.46 25.37 45.01 25.46 44.94 25.54 45.14 25.62 45.23 25.71 44.89 25.79 45.17 25.87 45.36 25.96 45.31 26.04 45.25 26.12 44.97 26.21 45.44 26.29 45.37 26.37 45.85 26.46 45.95 26.54 45.81 26.62 46.66 26.7 46.33 26.79 46.39 26.87 46.7 26.95 47 27.04 46.99 27.12 46.75 27.2 47.2 27.29 46.74 27.37 46.01 27.45 46.22 27.54 46.23 27.62 46.67 27.7 46.96 27.79 46.84 27.87 46.54 27.95 46.97 28.04 46.9 28.12 46.23 28.2 46.41 28.28 46.65 28.37 46.71 28.45 47.14 28.53 47.66 28.62 48.11 28.7 47.59 28.78 47.41 28.87 48.41 28.95 48.13 29.03 47.9 29.12 48.09 29.2 48.17 29.28 47.97 29.37 47.57 29.45 47.14 29.53 46.76 29.62 46.61 29.7 46.62 29.78 46.66 29.86 47 29.95 47.17 30.03 47.1 30.11 46.91 30.2 46.79 30.28 46.98 30.36 46.7 30.45 47.17 30.53 47.6 30.61 47.96 30.7 47.9 30.78 48.26 30.86 47.59 30.95 48.18 31.03 48.67 31.11 48.73 31.2 49.11 31.28 48.64 31.36 48.45 31.44 48.62 31.53 47.53 31.61 47.57 31.69 47.75 31.78 47.6 31.86 48.03 31.94 48.25 32.03 47.94 32.11 47.49 32.19 47.26 32.28 47.5 32.36 46.5 32.44 46.98 32.53 47.12 32.61 47.21 32.69 46.48 32.78 46.84 32.86 46.26 32.94 46.13 33.02 46.42 33.11 46.52 33.19 46.21 33.27 46.21 33.36 46.47 33.44 46.19 33.52 46.73 33.61 46.83 33.69 46.24 33.77 46.19 33.86 46.28 33.94 45.67 34.02 45.44 34.11 45.7 34.19 46.32 34.27 46.22 34.36 46.7 34.44 46.73 34.52 46.75 34.61 46.58 34.69 46.27 34.77 46.63 34.85 46.85 34.94 46.93 35.02 46.92 35.1 47 35.19 46.9 35.27 46.81 35.35 46.38 35.44 47.28 35.52 47.49 35.6 47.21 35.69 46.68 35.77 46.22 35.85 45.89 35.94 46.62 36.02 46.71 36.1 46.25 36.19 45.79 36.27 45.61 36.35 45.49 36.43 45.45 36.52 45.22 36.6 45.45 36.68 45.56 36.77 45.35 36.85 45.08 36.93 45.64 37.02 45.59 37.1 45.77 37.18 45.88 37.27 45.71 37.35 44.95 37.43 45.23 37.52 45.42 37.6 45.06 37.68 44.87 37.77 45.13 37.85 44.41 37.93 44.61 38.01 45.13 38.1 45.39 38.18 45.93 38.26 46.27 38.35 46.88 38.43 46.68 38.51 45.82 38.6 46.26 38.68 45.97 38.76 45.97 38.85 45.64 38.93 45.95 39.01 46.29 39.1 45.72 39.18 46.31 39.26 45.95 39.35 45.72 39.43 45.87 39.51 45.51 39.59 45.51 39.68 45.49 39.76 45.57 39.84 45.61 39.93 45.53 40.01 46.08 40.09 46.51 40.18 45.96 40.26 46.28 40.34 46.4 40.43 46.12 40.51 45.8 40.59 45.74 40.68 45.45 40.76 45.93 40.84 46.22 40.93 46.32 41.01 46.46 41.09 45.84 41.17 45.23 41.26 45.09 41.34 45.12 41.42 45.05 41.51 45.48 41.59 45.05 41.67 45.39 41.76 45.67 41.84 45.79 41.92 45.99 42.01 45.7 42.09 45.7 42.17 45.71 42.26 45.71 42.34 45.44 42.42 44.85 42.51 44.85 42.59 44.54 42.67 44.57 42.75 44.59 42.84 45.09 42.92 44.44 43 44.09 43.09 43.77 43.17 44.55 43.25 44.38 43.34 44.45 43.42 45.04 43.5 44.65 43.59 45.08 43.67 45.04 43.75 45.02 43.84 44.73 43.92 45.41 44 45.24 44.09 44.6 44.17 45.05 44.25 44.61 44.34 45.01 44.42 44.65 44.5 44.89 44.58 44.8 44.67 45.17 44.75 45.64 44.83 45.89 44.92 45.89 45 45.68 45.08 45.77 45.17 46.43 45.25 46.38 45.33 46.6 45.42 45.9 45.5 45.53 45.58 45.44 45.67 45.75 45.75 45.72 45.83 45.78 45.92 45.58 46 45.73 46.08 45.69 46.16 45.63 46.25 45.53 46.33 45.83 46.41 45.85 46.5 45.79 46.58 45.49 46.66 45.56 46.75 46 46.83 46.48 46.91 46.49 47 46.63 47.08 46.43 47.16 46.54 47.25 46.97 47.33 47.27 47.41 47.58 47.5 47.65 47.58 47.87 47.66 48.16 47.74 48.78 47.83 48.95 47.91 48.39 47.99 48.37 48.08 48.32 48.16 48.12 48.24 48.85 48.33 49.35 48.41 49.21 48.49 49.42 48.58 48.52 48.66 49.01 48.74 48.52 48.83 48.47 48.91 47.96 48.99 48.08 49.08 48.4 49.16 48.76 49.24 48.42 49.32 48.75 49.41 48.45 49.49 48.66 49.57 48.62 49.66 48.91 49.74 48.76 49.82 48.94 49.91 48.73 49.99 48.62 50.07 49.01 50.16 49 50.24 48.91 50.32 48.95 50.41 49.04 50.49 48.95 50.57 49.49 50.66 49.26 50.74 49.56 50.82 49.17 50.9 49.77 50.99 49.54 51.07 49.74 51.15 49.59 51.24 50.18 51.32 49.54 51.4 49.89 51.49 50.23 51.57 50.59 51.65 50.41 51.74 50.4 51.82 50.51 51.9 50.73 51.99 50.74 52.07 50.04 52.15 49.85 52.24 49.84 52.32 49.95 52.4 50.05 52.48 50.22 52.57 49.87 52.65 49.73 52.73 49.64 52.82 49.88 52.9 50.1 52.98 49.98 53.07 49.75 53.15 49.79 53.23 49.63 53.32 49.92 53.4 50.09 53.48 50.2 53.57 49.98 53.65 50.25 53.73 50.58 53.82 50.69 53.9 50.32 53.98 50.63 54.07 50.94 54.15 50.59 54.23 49.84 54.31 50.17 54.4 49.78 54.48 49.69 54.56 49.39 54.65 49.71 54.73 50.15 54.81 50.1 54.9 49.38 54.98 49.06 55.06 48.86 55.15 48.22 55.23 47.92 55.31 48.48 55.4 48.24 55.48 47.92 55.56 48.48 55.65 49.12 55.73 49 55.81 48.94 55.89 49.34 55.98 49.5 56.06 49.21 56.14 49.49 56.23 49.39 56.31 49.13 56.39 49.77 56.48 49.82 56.56 50.16 56.64 50.32 56.73 50.13 56.81 50.06 56.89 50.43 56.98 50.69 57.06 50.37 57.14 50.35 57.23 50.6 57.31 50.4 57.39 49.85 57.47 50.42 57.56 50.17 57.64 49.95 57.72 49.72 57.81 49.37 57.89 49.4 57.97 49.37 58.06 49.95 58.14 50.15 58.22 50.35 58.31 51.12 58.39 51.29 58.47 51.56 58.56 51.37 58.64 51.11 58.72 50.8 58.81 50.97 58.89 51.2 58.97 50.56 59.05 50.28 59.14 50.07 59.22 49.53 59.3 49.68 59.39 50.13 59.47 50.17 59.55 50.38 59.64 50.03 59.72 49.93 59.8 50.02 59.89 50.15 59.97 49.8 60.05 49.87 60.14 50.34 60.22 50.55 60.3 50.15 60.39 49.7 60.47 50.15 60.55 50.01 60.63 50.09 60.72 50.42 60.8 51.05 60.88 50.65 60.97 50.54 61.05 50.34 61.13 49.99 61.22 50.81 61.3 51.28 61.38 51.43 61.47 51.12 61.55 51.82 61.63 52.12 61.72 52.25 61.8 52.34 61.88 52.54 61.97 52.69 62.05 52.91 62.13 52.61 62.21 52.6 62.3 52.67 62.38 52.36 62.46 52.21 62.55 52.63 62.63 52.54 62.71 52.41 62.8 52.17 62.88 52.73 62.96 53.01 63.05 53.27 63.13 53.62 63.21 53.69 63.3 53.69 63.38 53.32 63.46 53.6 63.55 53.62 63.63 53.23 63.71 53.61 63.8 53.73 63.88 53.44 63.96 54.18 64.04 54.35 64.13 54.46 64.21 54.29 64.29 54.8 64.38 54.88 64.46 55.14 64.54 55.43 64.63 55.47 64.71 55.06 64.79 55.34 64.88 55.48 64.96 55.26 65.04 55.73 65.13 56.1 65.21 55.81 65.29 55.75 65.38 55.87 65.46 56.23 65.54 56.05 65.62 55.99 65.71 56.05 65.79 55.82 65.87 56.1 65.96 55.77 66.04 55.79 66.12 55.55 66.21 54.92 66.29 55.03 66.37 54.91 66.46 54.69 66.54 54.71 66.62 55.09 66.71 54.68 66.79 54.89 66.87 55.12 66.96 54.85 67.04 54.78 67.12 55.03 67.2 55.32 67.29 55.12 67.37 55.3 67.45 55.21 67.54 55.22 67.62 55.36 67.7 55.66 67.79 55.88 67.87 55.92 67.95 55.77 68.04 55.67 68.12 55.65 68.2 55.65 68.29 55.41 68.37 55.42 68.45 55.01 68.54 55.29 68.62 55.31 68.7 55.4 68.78 55.81 68.87 56.29 68.95 56.11 69.03 56.03 69.12 55.6 69.2 55.84 69.28 55.43 69.37 54.98 69.45 54.98 69.53 55.33 69.62 55.69 69.7 55.65 69.78 55.68 69.87 55.45 69.95 55.4 70.03 55.17 70.12 55.66 70.2 55.63 70.28 55.92 70.36 56.08 70.45 55.94 70.53 55.77 70.61 55.74 70.7 55.89 70.78 56.47 70.86 56.51 70.95 56.24 71.03 56.82 71.11 56.66 71.2 56.55 71.28 56.54 71.36 56.58 71.45 56.56 71.53 56.57 71.61 56.9 71.7 57.15 71.78 56.81 71.86 57.03 71.94 56.92 72.03 57.29 72.11 57.37 72.19 57.63 72.28 57.76 72.36 57.79 72.44 57.66 72.53 57.32 72.61 57.06 72.69 57.18 72.78 57.72 72.86 57.78 72.94 57.45 73.03 58.11 73.11 57.56 73.19 57.32 73.28 57.47 73.36 57.34 73.44 57.7 73.53 57.55 73.61 57.79 73.69 57.91 73.77 57.79 73.86 57.71 73.94 58.01 74.02 57.94 74.11 58.06 74.19 58.03 74.27 58.19 74.36 57.99 74.44 58.36 74.52 58.65 74.61 58.83 74.69 59.07 74.77 59.17 74.86 59.1 74.94 59.49 75.02 59.24 75.11 59.13 75.19 59.08 75.27 59.15 75.35 59.1 75.44 59.55 75.52 59.66 75.6 60.06 75.69 60.29 75.77 60.69 75.85 60.69 75.94 60.9 76.02 60.93 76.1 60.91 76.19 61.16 76.27 61.59 76.35 61.78 76.44 61.55 76.52 61.76 76.6 61.53 76.69 61.46 76.77 61.71 76.85 61.26 76.93 60.83 77.02 60.85 77.1 60.86 77.18 61.12 77.27 61.33 77.35 61.46 77.43 61.45 77.52 61.59 77.6 61.87 77.68 61.74 77.77 61.99 77.85 62.02 77.93 62.44 78.02 62.41 78.1 62.4 78.18 62.18 78.27 61.81 78.35 61.83 78.43 61.71 78.51 61.35 78.6 61.5 78.68 61.5 78.76 61.58 78.85 61.59 78.93 61.39 79.01 61.2 79.1 61.43 79.18 61.63 79.26 61.71 79.35 61.71 79.43 61.67 79.51 61.68 79.6 61.59 79.68 61.17 79.76 61.06 79.85 60.75 79.93 60.56 80.01 60.44 80.09 60.57 80.18 60.65 80.26 60.74 80.34 60.61 80.43 60.6 80.51 60.58 80.59 60.6 80.68 60.87 80.76 60.59 80.84 60.41 80.93 60.36 81.01 60.51 81.09 60.45 81.18 60.61 81.26 60.49 81.34 60.25 81.43 60.64 81.51 60.25 81.59 60.29 81.67 60.06 81.76 60.04 81.84 60.24 81.92 60.09 82.01 60.52 82.09 60.57 82.17 60.88 82.26 60.82 82.34 60.95 82.42 60.98 82.51 61.19 82.59 61.22 82.67 61.27 82.76 61.54 82.84 61.5 82.92 62.02 83.01 62.11 83.09 62.01 83.17 62.04 83.26 62.14 83.34 61.94 83.42 62.12 83.5 62.23 83.59 62.14 83.67 62.15 83.75 61.99 83.84 62.04 83.92 61.93 84 61.84 84.09 61.84 84.17 61.59 84.25 61.58 84.34 61.6 84.42 61.53 84.5 61.37 84.59 61.46 84.67 61.15 84.75 61.14 84.84 61.2 84.92 60.87 85 61.12 85.08 61.09 85.17 60.74 85.25 60.58 85.33 60.89 85.42 60.99 85.5 61.05 85.58 60.67 85.67 60.74 85.75 60.51 85.83 60.2 85.92 60.55 86 60.1 86.08 60.14 86.17 60.11 86.25 59.92 86.33 59.88 86.42 59.74 86.5 59.76 86.58 59.79 86.66 59.71 86.75 59.6 86.83 59.64 86.91 59.66 87 59.88 87.08 59.8 87.16 59.63 87.25 59.91 87.33 59.74 87.41 59.96 87.5 60.19 87.58 60.24 87.66 60.39 87.75 60.37 87.83 60.56 87.91 60.48 88 60.85 88.08 60.73 88.16 60.37 88.24 60.2 88.33 60.71 88.41 60.87 88.49 60.99 88.58 60.99 88.66 60.83 88.74 60.61 88.83 60.72 88.91 60.79 88.99 60.71 89.08 60.9 89.16 61 89.24 61.03 89.33 60.95 89.41 60.93 89.49 60.75 89.58 60.8 89.66 60.86 89.74 60.6 89.82 60.35 89.91 60.06 89.99 60.25 90.07 60.84 90.16 60.6 90.24 60.64 90.32 60.33 90.41 60.62 90.49 60.76 90.57 60.62 90.66 60.77 90.74 60.51 90.82 60.6 90.91 60.7 90.99 60.63 91.07 60.45 91.16 60.68 91.24 61.03 91.32 61.17 91.4 61.14 91.49 60.76 91.57 60.75 91.65 61.04 91.74 60.63 91.82 60.6 91.9 60.79 91.99 60.84 92.07 61.06 92.15 60.99 92.24 60.99 92.32 61.02 92.4 61.31 92.49 61.25 92.57 61.39 92.65 61.22 92.74 60.98 92.82 61.17 92.9 61.21 92.99 61.16 93.07 61.19 93.15 61.27 93.23 61.52 93.32 61.23 93.4 61.15 93.48 61.16 93.57 61.55 93.65 61.64 93.73 61.5 93.82 61.28 93.9 61.35 93.98 61.28 94.07 61.15 94.15 61.23 94.23 61.56 94.32 61.28 94.4 61.25 94.48 61.39 94.57 61.22 94.65 61.14 94.73 61.39 94.81 61.5 94.9 61.42 94.98 61.25 95.06 60.95 95.15 61.06 95.23 60.93 95.31 60.92 95.4 61.05 95.48 60.9 95.56 60.57 95.65 60.1 95.73 59.62 95.81 59.72 95.9 59.85 95.98 59.93 96.06 60.07 96.15 60.14 96.23 60.32 96.31 60.4 96.39 60.54 96.48 60.69 96.56 60.76 96.64 61.17 96.73 61.2 96.81 61.41 96.89 61.5 96.98 61.69 97.06 61.51 97.14 61.5 97.23 61.65 97.31 61.74 97.39 61.47 97.48 61.73 97.56 61.64 97.64 61.29 97.73 61.85 97.81 61.98 97.89 62.33 97.97 62.12 98.06 62.21 98.14 61.92 98.22 62.26 98.31 62.04 98.39 61.79 98.47 61.7 98.56 61.42 98.64 61.23 98.72 61.04 98.81 61.24 98.89 61.53 98.97 61.29 99.06 61.11 99.14 61.12 99.22 60.81 99.31 61.14 99.39 61.31 99.47 61.38 99.55 60.9 99.64 61.02 99.72 60.64 99.8 60.71 99.89 60.66 99.97 60.46 100.05 60.79 100.14 60.81 100.22 60.43 100.3 60.53 100.39 60.63 100.47 61.06 100.55 60.98 100.64 60.73 100.72 60.43 100.8 60.67 100.89 60.52 100.97 60.74 101.05 60.59 101.13 60.37 101.22 60.33 101.3 60.02 101.38 59.79 101.47 59.67 101.55 59.6 101.63 59.57 101.72 59.2 101.8 59.35 101.88 59.26 101.97 59.17 102.05 59.1 102.13 59.76 102.22 59.97 102.3 60.2 102.38 59.94 102.47 59.79 102.55 59.81 102.63 59.96 102.72 59.93 102.8 60.24 102.88 59.79 102.96 59.5 103.05 59.82 103.13 59.71 103.21 59.38 103.3 59.55 103.38 59.31 103.46 58.44 103.55 58.32 103.63 57.92 103.71 58.29 103.8 58.49 103.88 58.4 103.96 58.08 104.05 58.17 104.13 58.51 104.21 58.27 104.3 58.54 104.38 58.16 104.46 58.38 104.54 58.51 104.63 58.58 104.71 58.46 104.79 58.09 104.88 58.09 104.96 57.7 105.04 57.43 105.13 57.61 105.21 57.36 105.29 57.55 105.38 57.27 105.46 57.46 105.54 57.67 105.63 57.61 105.71 57.6 105.79 57.05 105.88 57.09 105.96 57.35 106.04 57.34 106.12 57.5 106.21 57.6 106.29 57.29 106.37 57.14 106.46 57.56 106.54 57.32 106.62 57.2 106.71 57 106.79 56.59 106.87 56.81 106.96 56.27 107.04 56.2 107.12 56.64 107.21 56.64 107.29 56.69 107.37 56.77 107.46 56.25 107.54 56.28 107.62 56.13 107.7 56.03 107.79 55.85 107.87 55.51 107.95 55.35 108.04 55.06 108.12 55.27 108.2 55.28 108.29 54.94 108.37 54.48 108.45 54.41 108.54 53.92 108.62 54 108.7 54.41 108.79 54.67 108.87 54.35 108.95 54.36 109.04 54.37 109.12 54.18 109.2 54.49 109.28 54.84 109.37 54.66 109.45 54.99 109.53 55.02 109.62 55.39 109.7 55.41 109.78 56.03 109.87 56.07 109.95 56.03 110.03 56.13 110.12 55.86 110.2 55.26 110.28 55.27 110.37 55.07 110.45 54.62 110.53 54.77 110.62 54.91 110.7 55.02 110.78 55.1 110.86 55.14 110.95 55.64 111.03 55.3 111.11 55.01 111.2 54.88 111.28 55 111.36 55.31 111.45 55.35 111.53 55.47 111.61 55.88 111.7 55.73 111.78 55.77 111.86 55.96 111.95 56.17 112.03 55.96 112.11 56.41 112.2 56.03 112.28 55.81 112.36 55.28 112.45 55.76 112.53 56.06 112.61 56.16 112.69 56.09 112.78 56.29 112.86 56.26 112.94 56.13 113.03 56.08 113.11 56.07 113.19 56.01 113.28 55.97 113.36 56.47 113.44 56.67 113.53 56.78 113.61 56.98 113.69 56.93 113.78 56.94 113.86 57.2 113.94 57 114.03 57.2 114.11 57.77 114.19 58.01 114.27 58.13 114.36 57.78 114.44 57.56 114.52 57.5 114.61 58.07 114.69 57.83 114.77 57.88 114.86 57.42 114.94 57.43 115.02 57.69 115.11 57.4 115.19 57.12 115.27 56.72 115.36 56.33 115.44 56.84 115.52 56.7 115.61 56.24 115.69 56.02 115.77 55.97 115.85 55.91 115.94 55.66 116.02 55.49 116.1 55.56 116.19 55.74 116.27 55.53 116.35 55.62 116.44 55.57 116.52 55.5 116.6 55.46 116.69 55.23 116.77 55.72 116.85 55.54 116.94 55.83 117.02 56.07 117.1 55.99 117.19 55.7 117.27 55.82 117.35 55.8 117.43 55.87 117.52 56.05 117.6 56.35 117.68 56.46 117.77 56.08 117.85 56.27 117.93 56.79 118.02 56.87 118.1 57 118.18 56.77 118.27 56.7 118.35 56.77 118.43 56.4 118.52 56.2 118.6 56.02 118.68 56.1 118.77 56.17 118.85 56.23 118.93 56.16 119.01 56.53 119.1 56.65 119.18 57 119.26 57.27 119.35 57.4 119.43 57.52 119.51 57.72 119.6 57.62 119.68 57.31 119.76 57 119.85 57.33 119.93 57.16 120.01 57.13 120.1 56.81 120.18 56.92 120.26 56.77 120.35 56.48 120.43 56.14 120.51 56.23 120.59 55.89 120.68 55.94 120.76 56.22 120.84 56.42 120.93 56.75 121.01 56.56 121.09 56.66 121.18 56.6 121.26 56.71 121.34 56.54 121.43 56.67 121.51 57.05 121.59 56.91 121.68 56.59 121.76 56.18 121.84 56.04 121.93 56.22 122.01 55.95 122.09 55.8 122.18 55.66 122.26 55.75 122.34 55.87 122.42 55.9 122.51 55.94 122.59 56.12 122.67 55.9 122.76 55.87 122.84 55.87 122.92 55.54 123.01 55.7 123.09 55.98 123.17 55.96 123.26 55.37 123.34 55.75 123.42 55.57 123.51 55.62 123.59 55.76 123.67 55.33 123.76 54.85 123.84 54.95 123.92 55.16 124 55.23 124.09 55.27 124.17 54.93 124.25 54.79 124.34 54.71 124.42 54.56 124.5 54.32 124.59 54.57 124.67 54.27 124.75 53.94 124.84 53.77 124.92 54.14 125 54.45 125.09 54.65 125.17 54.54 125.25 54 125.34 54.46 125.42 53.95 125.5 54.29 125.58 54.27\" class=\"geometry color_\" stroke=\"#004D84\"/>\n",
|
||
" <path fill=\"none\" d=\"M21.63,44.35 L 21.71 44.35 21.8 44.74 21.88 45.14 21.96 45.24 22.05 45.18 22.13 45.09 22.21 45.31 22.3 45.29 22.38 45.45 22.46 45.57 22.55 45.4 22.63 45.56 22.71 45.7 22.8 45.07 22.88 45.15 22.96 45.06 23.05 44.89 23.13 44.84 23.21 44.6 23.29 43.86 23.38 43.07 23.46 43.2 23.54 43.5 23.63 43.42 23.71 44.02 23.79 43.97 23.88 44.62 23.96 43.89 24.04 43.92 24.13 44.59 24.21 44.17 24.29 43.44 24.38 43.63 24.46 43.78 24.54 43.49 24.63 43.6 24.71 43.76 24.79 43.74 24.88 44.13 24.96 44.19 25.04 44.45 25.12 44.49 25.21 44.45 25.29 44.08 25.37 44.61 25.46 44.05 25.54 43.42 25.62 43.22 25.71 43.61 25.79 43.03 25.87 42.75 25.96 42.35 26.04 42.88 26.12 43.25 26.21 43.25 26.29 43.77 26.37 43.71 26.46 43.6 26.54 43.91 26.62 44.39 26.7 44.51 26.79 44.27 26.87 44.41 26.95 44.8 27.04 44.86 27.12 44.75 27.2 44.27 27.29 44.2 27.37 44.31 27.45 44.4 27.54 44.62 27.62 44.4 27.7 44.86 27.79 44.88 27.87 45.08 27.95 45.08 28.04 44.59 28.12 44.93 28.2 45.15 28.28 45.06 28.37 44.52 28.45 44.23 28.53 43.64 28.62 44.31 28.7 44.34 28.78 44.23 28.87 44.38 28.95 43.88 29.03 43.87 29.12 43.53 29.2 43.46 29.28 43.51 29.37 42.7 29.45 43.12 29.53 43.13 29.62 42.93 29.7 43.07 29.78 42.84 29.86 43.1 29.95 42.46 30.03 42.56 30.11 44.06 30.2 43.74 30.28 43.1 30.36 43.03 30.45 43.71 30.53 44.1 30.61 43.78 30.7 43.42 30.78 43.56 30.86 43.74 30.95 43.66 31.03 43.83 31.11 44.76 31.2 45.03 31.28 45.06 31.36 45.03 31.44 45.53 31.53 46.22 31.61 46.72 31.69 46.7 31.78 46.95 31.86 46.89 31.94 46.96 32.03 47.78 32.11 47.52 32.19 47.81 32.28 48.77 32.36 49.04 32.44 49.48 32.53 48.95 32.61 49.13 32.69 49.15 32.78 49.28 32.86 48.56 32.94 48.3 33.02 48.35 33.11 48.41 33.19 48.14 33.27 48.04 33.36 48.31 33.44 48.4 33.52 48.55 33.61 48.49 33.69 49.32 33.77 49.33 33.86 49.01 33.94 49.42 34.02 50.03 34.11 50.43 34.19 51.11 34.27 51.2 34.36 51.23 34.44 51.28 34.52 51.24 34.61 50.93 34.69 50.93 34.77 50.84 34.85 50.33 34.94 49.71 35.02 49.75 35.1 48.82 35.19 48.67 35.27 48.22 35.35 48.13 35.44 48.05 35.52 48.1 35.6 47.92 35.69 48 35.77 48.4 35.85 48.39 35.94 48.48 36.02 48.58 36.1 48.8 36.19 48.6 36.27 49.54 36.35 49.73 36.43 49.4 36.52 49.39 36.6 49.74 36.68 49.69 36.77 49.46 36.85 49.73 36.93 49.53 37.02 50.27 37.1 50.09 37.18 50.45 37.27 50.05 37.35 50.63 37.43 50.97 37.52 50.89 37.6 50.42 37.68 49.71 37.77 50.37 37.85 50.23 37.93 49.71 38.01 49.88 38.1 50.1 38.18 49.88 38.26 50.3 38.35 50.03 38.43 49.98 38.51 49.56 38.6 49.24 38.68 49.2 38.76 49.54 38.85 49.69 38.93 49.32 39.01 48.83 39.1 48.57 39.18 48.69 39.26 48.58 39.35 48.58 39.43 48.74 39.51 48.57 39.59 48.94 39.68 49.11 39.76 49.59 39.84 49.84 39.93 49.62 40.01 50.19 40.09 50 40.18 49.79 40.26 50.15 40.34 50.38 40.43 50.2 40.51 50.19 40.59 50.44 40.68 50.76 40.76 50.74 40.84 50.68 40.93 51.22 41.01 50.92 41.09 50.85 41.17 51.06 41.26 50.84 41.34 51.05 41.42 51.6 41.51 51.73 41.59 52.09 41.67 52.48 41.76 51.83 41.84 52.3 41.92 52.12 42.01 52.26 42.09 52.55 42.17 52.65 42.26 52.49 42.34 52.36 42.42 52.47 42.51 52.47 42.59 51.99 42.67 52.25 42.75 52.2 42.84 51.74 42.92 51.4 43 51.19 43.09 51.35 43.17 51.4 43.25 51.24 43.34 50.99 43.42 51.3 43.5 51.34 43.59 51.58 43.67 51.71 43.75 51.7 43.84 52.02 43.92 52.23 44 51.95 44.09 52.16 44.17 52.09 44.25 51.82 44.34 52.01 44.42 52.29 44.5 52.68 44.58 52.53 44.67 52.5 44.75 52.9 44.83 52.83 44.92 52.74 45 53.01 45.08 53 45.17 52.94 45.25 52.9 45.33 53.14 45.42 53.22 45.5 53.46 45.58 53.13 45.67 53.67 45.75 53.85 45.83 53.91 45.92 54.31 46 54.61 46.08 54.34 46.16 54.17 46.25 53.76 46.33 53.75 46.41 53.61 46.5 53.75 46.58 53.34 46.66 53.68 46.75 53.83 46.83 54.2 46.91 54.54 47 54.62 47.08 54.59 47.16 54.77 47.25 54.62 47.33 54.13 47.41 53.95 47.5 53.9 47.58 53.83 47.66 53.64 47.74 53.84 47.83 53.57 47.91 53.85 47.99 54.17 48.08 54.07 48.16 54.55 48.24 54.36 48.33 53.92 48.41 53.72 48.49 53.8 48.58 54.28 48.66 53.67 48.74 53.8 48.83 53.77 48.91 54.05 48.99 54.09 49.08 54.08 49.16 54.36 49.24 54.58 49.32 54.74 49.41 54.72 49.49 54.45 49.57 54.36 49.66 54.36 49.74 54.61 49.82 54.37 49.91 54.21 49.99 54.12 50.07 54.26 50.16 54.36 50.24 54.28 50.32 54.21 50.41 54.77 50.49 55.17 50.57 54.9 50.66 55.22 50.74 54.64 50.82 54.81 50.9 55.06 50.99 55.46 51.07 55.28 51.15 55.19 51.24 55.34 51.32 55.22 51.4 54.68 51.49 54.23 51.57 54.1 51.65 54.26 51.74 54.27 51.82 54.13 51.9 54.15 51.99 53.95 52.07 54.39 52.15 54.14 52.24 54.32 52.32 54.32 52.4 54.38 52.48 53.85 52.57 53.86 52.65 54.17 52.73 54.52 52.82 54.42 52.9 54.45 52.98 54.66 53.07 54.49 53.15 54.64 53.23 54.95 53.32 55.09 53.4 55.16 53.48 55.28 53.57 55.43 53.65 54.87 53.73 54.74 53.82 54.75 53.9 54.76 53.98 54.88 54.07 54.75 54.15 54.17 54.23 54.07 54.31 54.7 54.4 54.57 54.48 54.33 54.56 55.14 54.65 55.61 54.73 56.13 54.81 55.8 54.9 55.61 54.98 55.7 55.06 55.48 55.15 55.58 55.23 55.9 55.31 55.84 55.4 55.37 55.48 55.2 55.56 55.57 55.65 55.77 55.73 55.7 55.81 55.69 55.89 55.65 55.98 55.64 56.06 55.79 56.14 55.64 56.23 55.22 56.31 55.2 56.39 55.35 56.48 55.3 56.56 55.1 56.64 55.37 56.73 55.28 56.81 55.83 56.89 55.86 56.98 55.61 57.06 55.88 57.14 55.92 57.23 55.85 57.31 55.94 57.39 56.25 57.47 56.26 57.56 56.36 57.64 56.21 57.72 56.07 57.81 56.47 57.89 56.26 57.97 56.01 58.06 55.82 58.14 55.47 58.22 54.89 58.31 55.22 58.39 55.18 58.47 55.01 58.56 54.97 58.64 55.01 58.72 55 58.81 55 58.89 54.48 58.97 54.6 59.05 54.28 59.14 53.95 59.22 53.88 59.3 53.94 59.39 54.17 59.47 53.76 59.55 53.2 59.64 53.37 59.72 53.48 59.8 53.51 59.89 53.67 59.97 53.87 60.05 53.62 60.14 53.41 60.22 53.37 60.3 53.4 60.39 53.59 60.47 53.43 60.55 53.35 60.63 53.71 60.72 53.6 60.8 53.73 60.88 53.96 60.97 54.11 61.05 54.66 61.13 54.38 61.22 53.87 61.3 54.23 61.38 54.23 61.47 54.09 61.55 53.58 61.63 52.99 61.72 52.86 61.8 52.72 61.88 52.73 61.97 52.99 62.05 52.9 62.13 52.68 62.21 52.86 62.3 53.21 62.38 53.48 62.46 52.84 62.55 53.13 62.63 53.17 62.71 53.5 62.8 53.36 62.88 53.46 62.96 53.26 63.05 52.92 63.13 52.65 63.21 52.45 63.3 52.45 63.38 52.77 63.46 53.09 63.55 53.33 63.63 53.4 63.71 52.72 63.8 52.94 63.88 52.88 63.96 53.16 64.04 53.08 64.13 53.27 64.21 52.74 64.29 52.45 64.38 52.02 64.46 51.71 64.54 51.78 64.63 51.46 64.71 51.64 64.79 51.36 64.88 51.34 64.96 51.03 65.04 50.79 65.13 50.75 65.21 50.72 65.29 50.93 65.38 50.81 65.46 51.19 65.54 50.86 65.62 50.53 65.71 50.71 65.79 50.52 65.87 50.62 65.96 50.15 66.04 49.93 66.12 50.49 66.21 50.86 66.29 50.25 66.37 50.51 66.46 50.28 66.54 50.74 66.62 50.58 66.71 50.41 66.79 50.39 66.87 50.66 66.96 50.68 67.04 50.4 67.12 50.75 67.2 50.24 67.29 50.52 67.37 50.63 67.45 50.65 67.54 51.07 67.62 51.1 67.7 51.18 67.79 51.19 67.87 50.93 67.95 51.14 68.04 51.4 68.12 51.18 68.2 50.72 68.29 50.35 68.37 49.82 68.45 49.79 68.54 50 68.62 50.07 68.7 50.31 68.78 50.66 68.87 51.08 68.95 51.17 69.03 51.56 69.12 51.53 69.2 51.77 69.28 51.88 69.37 52.17 69.45 52.4 69.53 52.07 69.62 52.53 69.7 52.54 69.78 51.94 69.87 51.99 69.95 51.95 70.03 52.06 70.12 52.34 70.2 52.67 70.28 52.91 70.36 52.86 70.45 53.3 70.53 53.65 70.61 53.54 70.7 53.74 70.78 53.41 70.86 53.18 70.95 53.18 71.03 52.96 71.11 52.7 71.2 52.6 71.28 52.56 71.36 52.69 71.45 52.79 71.53 52.71 71.61 52.78 71.7 52.81 71.78 52.59 71.86 52.61 71.94 52.26 72.03 52.16 72.11 52.29 72.19 52.26 72.28 51.56 72.36 52.43 72.44 52.62 72.53 52.03 72.61 51.82 72.69 51.99 72.78 52.34 72.86 52.01 72.94 51.78 73.03 51.67 73.11 51.54 73.19 51.52 73.28 51.58 73.36 51.72 73.44 51.76 73.53 51.78 73.61 52.05 73.69 52.47 73.77 52.41 73.86 52.77 73.94 52.35 74.02 52.23 74.11 52.26 74.19 52.49 74.27 52.58 74.36 52.51 74.44 52.6 74.52 52.9 74.61 53.25 74.69 52.96 74.77 53.3 74.86 53.38 74.94 53.53 75.02 53.55 75.11 53.42 75.19 53.38 75.27 53.26 75.35 53.41 75.44 53.76 75.52 53.96 75.6 53.92 75.69 53.65 75.77 53.73 75.85 53.61 75.94 54.28 76.02 54.59 76.1 54.77 76.19 54.54 76.27 54.56 76.35 54.94 76.44 55.15 76.52 55.53 76.6 55.45 76.69 55.48 76.77 55.29 76.85 55.23 76.93 55.37 77.02 55.21 77.1 55.13 77.18 55.35 77.27 55.13 77.35 54.82 77.43 54.99 77.52 54.93 77.6 54.82 77.68 54.84 77.77 54.83 77.85 54.59 77.93 54.49 78.02 54.49 78.1 54.95 78.18 54.93 78.27 55.07 78.35 54.53 78.43 55.06 78.51 55.34 78.6 55.44 78.68 55.29 78.76 55.23 78.85 55.15 78.93 54.98 79.01 54.86 79.1 55.09 79.18 55.4 79.26 55.17 79.35 55.37 79.43 55.67 79.51 56 79.6 56.62 79.68 56.58 79.76 56.69 79.85 56.43 79.93 56.45 80.01 56.45 80.09 56.43 80.18 56.64 80.26 56.83 80.34 56.56 80.43 56.75 80.51 56.55 80.59 56.39 80.68 56.17 80.76 56.37 80.84 56.33 80.93 56.53 81.01 56.66 81.09 56.79 81.18 56.64 81.26 56.28 81.34 56.66 81.43 56.87 81.51 56.76 81.59 56.72 81.67 56.8 81.76 56.86 81.84 57.25 81.92 57.23 82.01 57.13 82.09 57.45 82.17 57.87 82.26 58.31 82.34 58.16 82.42 58.27 82.51 58.13 82.59 58.12 82.67 58.39 82.76 58.72 82.84 58.99 82.92 59.09 83.01 58.98 83.09 58.63 83.17 58.78 83.26 58.77 83.34 58.53 83.42 58.63 83.5 58.85 83.59 59.23 83.67 59.07 83.75 59.01 83.84 59.24 83.92 59.16 84 59.03 84.09 59.03 84.17 59.01 84.25 59.08 84.34 58.79 84.42 58.71 84.5 59.02 84.59 59.03 84.67 59.09 84.75 59.66 84.84 59.58 84.92 59.78 85 59.54 85.08 59.56 85.17 59.41 85.25 59.88 85.33 59.78 85.42 60.08 85.5 60.14 85.58 60.59 85.67 60.9 85.75 60.98 85.83 60.94 85.92 61.49 86 61.2 86.08 61.37 86.17 61.5 86.25 61.79 86.33 61.83 86.42 61.61 86.5 61.68 86.58 61.87 86.66 61.85 86.75 61.99 86.83 62.09 86.91 62.06 87 61.88 87.08 61.55 87.16 61.64 87.25 61.49 87.33 61.42 87.41 61.9 87.5 61.53 87.58 61.58 87.66 61.56 87.75 61.39 87.83 61.2 87.91 61.27 88 61.13 88.08 60.91 88.16 60.59 88.24 60.64 88.33 60.43 88.41 60.55 88.49 60.83 88.58 60.78 88.66 60.47 88.74 60.74 88.83 60.97 88.91 61.23 88.99 61.22 89.08 61.15 89.16 61.06 89.24 61.39 89.33 61.57 89.41 61.54 89.49 61.42 89.58 61.45 89.66 61.4 89.74 61.41 89.82 61.85 89.91 62.35 89.99 62.47 90.07 62.31 90.16 62.16 90.24 61.99 90.32 61.98 90.41 62.11 90.49 62.25 90.57 61.8 90.66 61.75 90.74 61.95 90.82 62.31 90.91 62.41 90.99 62.62 91.07 62.56 91.16 62.68 91.24 62.67 91.32 62.58 91.4 62.75 91.49 62.86 91.57 62.71 91.65 62.61 91.74 62.5 91.82 62.33 91.9 62.35 91.99 62.03 92.07 61.94 92.15 62.04 92.24 62.15 92.32 62.21 92.4 62.48 92.49 62.54 92.57 62.67 92.65 62.69 92.74 62.44 92.82 62.56 92.9 63.03 92.99 62.62 93.07 62.54 93.15 62.79 93.23 63.24 93.32 62.92 93.4 62.68 93.48 62.62 93.57 62.63 93.65 62.44 93.73 62.48 93.82 62.82 93.9 62.85 93.98 62.47 94.07 62.66 94.15 62.16 94.23 61.74 94.32 61.93 94.4 61.77 94.48 61.62 94.57 61.71 94.65 61.8 94.73 61.89 94.81 61.77 94.9 61.8 94.98 61.5 95.06 61.33 95.15 61.31 95.23 60.77 95.31 61.21 95.4 61.03 95.48 60.95 95.56 60.9 95.65 60.64 95.73 60.34 95.81 60.35 95.9 60.43 95.98 60.24 96.06 60.12 96.15 59.71 96.23 59.94 96.31 60.31 96.39 60.33 96.48 60.46 96.56 60.86 96.64 60.63 96.73 60.74 96.81 60.47 96.89 60.61 96.98 60.6 97.06 60.83 97.14 60.88 97.23 60.67 97.31 60.72 97.39 60.55 97.48 60.74 97.56 60.58 97.64 60 97.73 60.24 97.81 60.1 97.89 60.07 97.97 59.84 98.06 59.62 98.14 59.76 98.22 59.82 98.31 60.51 98.39 60.04 98.47 60.19 98.56 60.03 98.64 60.13 98.72 60.05 98.81 60.13 98.89 60.53 98.97 60.25 99.06 60.12 99.14 60.26 99.22 60.62 99.31 60.71 99.39 60.85 99.47 60.57 99.55 60.83 99.64 60.85 99.72 61.36 99.8 61.56 99.89 61.79 99.97 61.96 100.05 61.91 100.14 61.99 100.22 61.84 100.3 62.19 100.39 62.19 100.47 62.26 100.55 62.58 100.64 62.68 100.72 62.76 100.8 62.88 100.89 62.77 100.97 62.5 101.05 62.36 101.13 62.02 101.22 62.3 101.3 62.48 101.38 62.43 101.47 62.3 101.55 62.36 101.63 62.25 101.72 62.47 101.8 62.18 101.88 62.33 101.97 62.71 102.05 62.89 102.13 62.82 102.22 62.61 102.3 62.45 102.38 62.39 102.47 62.91 102.55 62.56 102.63 62.27 102.72 62.26 102.8 62.04 102.88 62.13 102.96 62.04 103.05 62.05 103.13 62.09 103.21 62.06 103.3 61.98 103.38 62.37 103.46 62.58 103.55 62.48 103.63 62.33 103.71 62.46 103.8 62.74 103.88 62.47 103.96 62.29 104.05 62.22 104.13 62.12 104.21 62.27 104.3 62.35 104.38 62.3 104.46 62.55 104.54 62.62 104.63 62.74 104.71 62.56 104.79 62.26 104.88 62.26 104.96 61.79 105.04 61.68 105.13 62.06 105.21 61.99 105.29 61.92 105.38 61.8 105.46 61.56 105.54 61.27 105.63 61.28 105.71 61.58 105.79 61.88 105.88 62.05 105.96 62.05 106.04 62.12 106.12 62.3 106.21 62.05 106.29 61.92 106.37 61.96 106.46 62.15 106.54 62.38 106.62 62.67 106.71 62.81 106.79 62.58 106.87 62.67 106.96 62.76 107.04 62.76 107.12 62.45 107.21 62.89 107.29 62.78 107.37 62.67 107.46 62.6 107.54 62.55 107.62 62.29 107.7 62.39 107.79 62.41 107.87 62.64 107.95 62.54 108.04 62.53 108.12 62.65 108.2 62.59 108.29 62.25 108.37 62.19 108.45 62.12 108.54 61.86 108.62 62.03 108.7 62.2 108.79 62.26 108.87 62.08 108.95 62.13 109.04 62.21 109.12 62.33 109.2 62.36 109.28 62.14 109.37 62.53 109.45 62.71 109.53 62.81 109.62 62.71 109.7 62.84 109.78 62.96 109.87 63.08 109.95 63.01 110.03 62.97 110.12 62.98 110.2 63.14 110.28 63.5 110.37 63.41 110.45 63.46 110.53 63.18 110.62 62.84 110.7 62.74 110.78 62.69 110.86 62.98 110.95 62.74 111.03 62.87 111.11 62.72 111.2 62.5 111.28 62.46 111.36 62.71 111.45 62.47 111.53 62.53 111.61 62.91 111.7 63.16 111.78 63 111.86 63.01 111.95 63.21 112.03 62.76 112.11 62.62 112.2 62.5 112.28 62.48 112.36 62.38 112.45 62.26 112.53 62.6 112.61 62.77 112.69 62.8 112.78 62.81 112.86 62.79 112.94 62.61 113.03 62.45 113.11 62.69 113.19 62.78 113.28 62.98 113.36 63.51 113.44 63.37 113.53 63.53 113.61 63.86 113.69 63.84 113.78 63.7 113.86 63.65 113.94 63.59 114.03 63.53 114.11 63.52 114.19 63.57 114.27 63.8 114.36 63.88 114.44 63.86 114.52 64.02 114.61 64.1 114.69 63.86 114.77 64.22 114.86 64 114.94 63.89 115.02 64.07 115.11 64.15 115.19 64.17 115.27 64.53 115.36 64.49 115.44 64.51 115.52 64.34 115.61 64.48 115.69 64.57 115.77 64.59 115.85 64.63 115.94 64.73 116.02 64.45 116.1 64.7 116.19 64.64 116.27 64.63 116.35 64.82 116.44 64.88 116.52 64.78 116.6 64.77 116.69 64.74 116.77 64.88 116.85 64.93 116.94 64.79 117.02 65 117.1 65.33 117.19 65.12 117.27 65.07 117.35 65.01 117.43 64.83 117.52 64.41 117.6 64.2 117.68 64.18 117.77 64.36 117.85 64.55 117.93 64.52 118.02 64.46 118.1 64.25 118.18 64.2 118.27 64.33 118.35 64.23 118.43 64.22 118.52 63.98 118.6 63.98 118.68 63.94 118.77 64.08 118.85 64.13 118.93 63.86 119.01 63.95 119.1 63.82 119.18 63.91 119.26 63.9 119.35 64.17 119.43 64.19 119.51 64.36 119.6 64.4 119.68 64.11 119.76 63.96 119.85 63.74 119.93 63.71 120.01 63.84 120.1 63.88 120.18 63.45 120.26 63.46 120.35 63.21 120.43 62.97 120.51 62.98 120.59 63.17 120.68 62.99 120.76 62.8 120.84 63.03 120.93 62.7 121.01 62.46 121.09 62.56 121.18 62.88 121.26 62.84 121.34 62.67 121.43 62.6 121.51 62.52 121.59 62.71 121.68 62.71 121.76 62.58 121.84 62.45 121.93 62.44 122.01 62.01 122.09 61.58 122.18 61.67 122.26 61.72 122.34 61.6 122.42 61.57 122.51 61.33 122.59 61.44 122.67 61.61 122.76 61.53 122.84 61.29 122.92 61.42 123.01 61.65 123.09 61.61 123.17 61.58 123.26 61.64 123.34 61.78 123.42 61.56 123.51 61.46 123.59 61.81 123.67 61.64 123.76 61.17 123.84 60.91 123.92 61.22 124 61.24 124.09 61.14 124.17 60.9 124.25 61 124.34 60.75 124.42 60.67 124.5 60.48 124.59 60.99 124.67 60.79 124.75 60.43 124.84 60.46 124.92 60.15 125 59.84 125.09 59.6 125.17 59.65 125.25 60.01 125.34 60.25 125.42 59.96 125.5 59.92 125.58 59.77\" class=\"geometry color_\" stroke=\"#7E273E\"/>\n",
|
||
" <path fill=\"none\" d=\"M21.63,44.35 L 21.71 44.35 21.8 44.07 21.88 43.57 21.96 43.38 22.05 43.86 22.13 43.72 22.21 43.82 22.3 43.43 22.38 43.42 22.46 43.84 22.55 43.94 22.63 44.38 22.71 44.29 22.8 44.8 22.88 45.21 22.96 44.91 23.05 45.03 23.13 44.67 23.21 44.74 23.29 44.82 23.38 44.39 23.46 44.44 23.54 43.95 23.63 43.34 23.71 43.36 23.79 43.62 23.88 43.16 23.96 43.73 24.04 43.89 24.13 43.97 24.21 44.09 24.29 44.15 24.38 44.4 24.46 44.46 24.54 44.57 24.63 44.84 24.71 44.89 24.79 44.86 24.88 45.38 24.96 45.69 25.04 45.34 25.12 45.33 25.21 44.81 25.29 44.77 25.37 45.07 25.46 45.2 25.54 45.35 25.62 45.11 25.71 44.82 25.79 44.61 25.87 44.81 25.96 44.77 26.04 44.03 26.12 44.49 26.21 44.89 26.29 44.95 26.37 44.94 26.46 44.71 26.54 44.42 26.62 44.62 26.7 43.89 26.79 43.72 26.87 43.75 26.95 43.89 27.04 43.79 27.12 43.87 27.2 43.97 27.29 44.53 27.37 44.58 27.45 44.46 27.54 44.55 27.62 44.78 27.7 45.39 27.79 45.79 27.87 46.12 27.95 45.77 28.04 46.29 28.12 46.32 28.2 45.9 28.28 45.44 28.37 45.71 28.45 46.22 28.53 45.97 28.62 45.45 28.7 45.76 28.78 45.41 28.87 45.42 28.95 45.64 29.03 46.13 29.12 46.43 29.2 46.69 29.28 46.37 29.37 46.17 29.45 46.34 29.53 46.53 29.62 46.63 29.7 46.44 29.78 46.13 29.86 45.88 29.95 46.06 30.03 46.34 30.11 46.56 30.2 45.87 30.28 46.19 30.36 46.63 30.45 46.87 30.53 46.82 30.61 46.68 30.7 47.2 30.78 47.45 30.86 47.55 30.95 47.58 31.03 46.98 31.11 47.24 31.2 47.03 31.28 47.32 31.36 47.26 31.44 47.89 31.53 48.34 31.61 47.96 31.69 47.25 31.78 47.61 31.86 48.05 31.94 47.72 32.03 48.22 32.11 48.13 32.19 47.9 32.28 47.56 32.36 47.95 32.44 48.77 32.53 48.23 32.61 48.27 32.69 48.32 32.78 48.78 32.86 48.4 32.94 48.58 33.02 48.33 33.11 48.69 33.19 48.85 33.27 48.91 33.36 48.83 33.44 48.92 33.52 48.84 33.61 48.88 33.69 49.06 33.77 48.94 33.86 48.96 33.94 48.96 34.02 49.18 34.11 49.05 34.19 48.73 34.27 48.46 34.36 47.96 34.44 47.47 34.52 47.26 34.61 46.93 34.69 46.17 34.77 46.89 34.85 46.89 34.94 46.7 35.02 46.51 35.1 46.71 35.19 46.9 35.27 47.17 35.35 47.07 35.44 47.12 35.52 46.84 35.6 46.83 35.69 46.5 35.77 46.94 35.85 46.47 35.94 46.19 36.02 45.94 36.1 46.03 36.19 46.28 36.27 46.59 36.35 46.66 36.43 47.17 36.52 47.22 36.6 47.16 36.68 47.19 36.77 46.99 36.85 47.58 36.93 47.97 37.02 47.98 37.1 47.88 37.18 47.73 37.27 47.97 37.35 47.88 37.43 47.62 37.52 47.61 37.6 47.39 37.68 47.79 37.77 48.01 37.85 48.27 37.93 48.3 38.01 48.87 38.1 49 38.18 49.44 38.26 49.22 38.35 48.9 38.43 49.88 38.51 50.4 38.6 49.99 38.68 50.6 38.76 50.97 38.85 50.75 38.93 50.59 39.01 50.97 39.1 50.87 39.18 51.18 39.26 50.98 39.35 51.14 39.43 51.9 39.51 51.65 39.59 52.18 39.68 52.03 39.76 52.56 39.84 52.41 39.93 52.56 40.01 53.09 40.09 52.87 40.18 52.95 40.26 53.1 40.34 53.35 40.43 53.35 40.51 53.43 40.59 53.15 40.68 53.04 40.76 52.59 40.84 52.66 40.93 52.63 41.01 52.72 41.09 52.74 41.17 52.91 41.26 53.16 41.34 52.83 41.42 52.54 41.51 52.92 41.59 52.68 41.67 52.55 41.76 52.63 41.84 52.96 41.92 52.9 42.01 52.97 42.09 52.99 42.17 53.16 42.26 52.89 42.34 53.05 42.42 53.35 42.51 53.35 42.59 53.78 42.67 53.45 42.75 53.41 42.84 53.15 42.92 52.75 43 52.83 43.09 52.51 43.17 52.49 43.25 52.42 43.34 52.14 43.42 52.47 43.5 52.51 43.59 52.93 43.67 52.49 43.75 52 43.84 51.48 43.92 51.39 44 51.57 44.09 51.67 44.17 52.44 44.25 52.56 44.34 52.38 44.42 52.53 44.5 52.52 44.58 52.76 44.67 52.79 44.75 53.25 44.83 53.59 44.92 53.83 45 53.92 45.08 53.71 45.17 53.59 45.25 53.59 45.33 53.53 45.42 53.31 45.5 53.4 45.58 53.31 45.67 53.91 45.75 53.79 45.83 53.64 45.92 54.26 46 54.31 46.08 53.79 46.16 54.4 46.25 54.49 46.33 55.03 46.41 54.72 46.5 54.93 46.58 55 46.66 55.31 46.75 55.35 46.83 55.64 46.91 56.12 47 56.74 47.08 57.13 47.16 56.77 47.25 56.52 47.33 56.42 47.41 56.53 47.5 56.17 47.58 56.16 47.66 55.69 47.74 55.54 47.83 55.39 47.91 55.46 47.99 55.34 48.08 55.16 48.16 55.26 48.24 55.11 48.33 54.88 48.41 55.21 48.49 54.96 48.58 55.2 48.66 55.24 48.74 54.83 48.83 55.04 48.91 55.32 48.99 55.17 49.08 55.03 49.16 54.77 49.24 54.65 49.32 54.49 49.41 54.11 49.49 54.25 49.57 54.08 49.66 54.23 49.74 53.81 49.82 53.63 49.91 53.88 49.99 53.66 50.07 53.87 50.16 54.56 50.24 54.72 50.32 55.08 50.41 54.91 50.49 54.7 50.57 54.72 50.66 54.79 50.74 54.85 50.82 54.93 50.9 55.24 50.99 55.22 51.07 55.08 51.15 54.76 51.24 54.75 51.32 54.73 51.4 54.68 51.49 54.69 51.57 54.66 51.65 54.69 51.74 54.6 51.82 55.08 51.9 55.49 51.99 55.75 52.07 55.67 52.15 55.49 52.24 55.24 52.32 55.67 52.4 55.68 52.48 55.57 52.57 55.98 52.65 56.32 52.73 56.32 52.82 55.89 52.9 55.98 52.98 56.26 53.07 55.92 53.15 56.14 53.23 56.04 53.32 56.16 53.4 56.14 53.48 56.11 53.57 56.37 53.65 56.13 53.73 55.81 53.82 56.01 53.9 55.88 53.98 56.14 54.07 56.16 54.15 56.27 54.23 55.92 54.31 56.15 54.4 56.04 54.48 55.66 54.56 55.52 54.65 55.33 54.73 55.45 54.81 55.42 54.9 55.44 54.98 55.41 55.06 55.18 55.15 55.23 55.23 55.17 55.31 54.89 55.4 55.04 55.48 55.02 55.56 54.92 55.65 54.98 55.73 54.88 55.81 54.48 55.89 54.31 55.98 53.81 56.06 53.93 56.14 54.26 56.23 54.15 56.31 54.34 56.39 54.84 56.48 54.43 56.56 54.57 56.64 54.38 56.73 54.45 56.81 54.34 56.89 54.53 56.98 54.64 57.06 54.97 57.14 54.8 57.23 54.7 57.31 55.21 57.39 55.41 57.47 55.35 57.56 55.01 57.64 55.02 57.72 54.96 57.81 55.92 57.89 56.53 57.97 56.93 58.06 56.85 58.14 56.89 58.22 57.02 58.31 56.75 58.39 56.96 58.47 57.07 58.56 57.17 58.64 56.9 58.72 56.85 58.81 56.68 58.89 56.81 58.97 56.99 59.05 57.04 59.14 56.83 59.22 56.7 59.3 56.02 59.39 56.12 59.47 56.3 59.55 56.1 59.64 56.32 59.72 56.31 59.8 56.57 59.89 56.91 59.97 57.18 60.05 57.03 60.14 57.08 60.22 56.95 60.3 57.25 60.39 57.17 60.47 57.06 60.55 57.01 60.63 57.07 60.72 57.28 60.8 57.69 60.88 57.9 60.97 57.87 61.05 57.53 61.13 57.6 61.22 57.55 61.3 57.36 61.38 57.49 61.47 57.65 61.55 57.59 61.63 56.87 61.72 56.93 61.8 56.87 61.88 56.86 61.97 56.97 62.05 56.39 62.13 55.98 62.21 55.94 62.3 55.82 62.38 55.92 62.46 55.94 62.55 55.57 62.63 56.01 62.71 55.55 62.8 55.38 62.88 55.36 62.96 54.98 63.05 55.17 63.13 54.96 63.21 54.79 63.3 54.79 63.38 54.56 63.46 54.65 63.55 54.65 63.63 54.75 63.71 54.63 63.8 54.74 63.88 54.78 63.96 54.36 64.04 54.27 64.13 54.67 64.21 54.13 64.29 53.93 64.38 53.72 64.46 53.68 64.54 53.53 64.63 53.36 64.71 53.62 64.79 53.54 64.88 54.11 64.96 54.15 65.04 53.88 65.13 54.48 65.21 54.41 65.29 54.9 65.38 54.77 65.46 54.51 65.54 54.31 65.62 54.18 65.71 54.57 65.79 54.56 65.87 54.43 65.96 53.88 66.04 53.68 66.12 53.48 66.21 53.3 66.29 53.18 66.37 53.15 66.46 53.31 66.54 52.99 66.62 52.93 66.71 52.94 66.79 52.96 66.87 53.17 66.96 53.4 67.04 53.53 67.12 53.14 67.2 53.4 67.29 53.79 67.37 53.65 67.45 53.85 67.54 53.96 67.62 54.06 67.7 54.25 67.79 54.02 67.87 54.46 67.95 54.49 68.04 54.58 68.12 54.27 68.2 54.21 68.29 54.71 68.37 54.66 68.45 54.66 68.54 54.56 68.62 54.63 68.7 54.71 68.78 54.63 68.87 54.08 68.95 54.45 69.03 54.19 69.12 54.31 69.2 54.01 69.28 53.66 69.37 53.69 69.45 53.44 69.53 53.22 69.62 53 69.7 53.24 69.78 53.41 69.87 53.63 69.95 53.56 70.03 53.75 70.12 54.01 70.2 53.74 70.28 53.84 70.36 53.67 70.45 54.05 70.53 53.52 70.61 53.3 70.7 53.69 70.78 53.88 70.86 53.6 70.95 53.02 71.03 53.42 71.11 53.41 71.2 53.65 71.28 53.66 71.36 53.62 71.45 53.71 71.53 53.03 71.61 53.18 71.7 52.3 71.78 52.1 71.86 52.29 71.94 52.69 72.03 52.83 72.11 52.59 72.19 52.51 72.28 52.48 72.36 52.21 72.44 52.09 72.53 52.31 72.61 52.51 72.69 52.12 72.78 51.6 72.86 51.07 72.94 50.97 73.03 50.6 73.11 50.4 73.19 50.64 73.28 50.32 73.36 50.21 73.44 50.34 73.53 50.32 73.61 50.67 73.69 51.2 73.77 51.46 73.86 50.84 73.94 50.52 74.02 50.4 74.11 50.62 74.19 50.68 74.27 51.36 74.36 51.29 74.44 51.65 74.52 51.38 74.61 51.82 74.69 51.54 74.77 51.95 74.86 51.84 74.94 52.15 75.02 51.85 75.11 51.89 75.19 51.2 75.27 51.16 75.35 51.16 75.44 51.67 75.52 51.87 75.6 51.93 75.69 51.79 75.77 51.92 75.85 52 75.94 52.17 76.02 52.11 76.1 52.06 76.19 51.92 76.27 52.42 76.35 52.47 76.44 52.46 76.52 53 76.6 52.94 76.69 52.98 76.77 53.54 76.85 53.69 76.93 53.41 77.02 53.38 77.1 53.46 77.18 52.96 77.27 52.63 77.35 52.81 77.43 52.43 77.52 53.04 77.6 53.68 77.68 53.09 77.77 52.65 77.85 52.32 77.93 52.34 78.02 52.62 78.1 52.57 78.18 53.01 78.27 53.33 78.35 53.39 78.43 53.3 78.51 53.31 78.6 53.13 78.68 52.83 78.76 52.61 78.85 52.28 78.93 52.04 79.01 52.2 79.1 52.57 79.18 52.47 79.26 52.03 79.35 52.04 79.43 51.87 79.51 51.8 79.6 52.02 79.68 52.11 79.76 51.56 79.85 51.1 79.93 51.03 80.01 51.25 80.09 50.98 80.18 50.67 80.26 50.12 80.34 50.68 80.43 51.41 80.51 51.59 80.59 51.38 80.68 51.28 80.76 50.76 80.84 50.62 80.93 50.4 81.01 50.47 81.09 50.72 81.18 50.77 81.26 50.51 81.34 49.69 81.43 49.6 81.51 49.19 81.59 49.55 81.67 49.8 81.76 49.66 81.84 49.53 81.92 49.96 82.01 50.06 82.09 50.44 82.17 50.33 82.26 50.35 82.34 50.46 82.42 50.67 82.51 51.36 82.59 51.45 82.67 51.59 82.76 51.13 82.84 50.87 82.92 50.55 83.01 50.79 83.09 51.37 83.17 51.17 83.26 51.15 83.34 51.06 83.42 51.76 83.5 51.27 83.59 51.99 83.67 52.17 83.75 52.61 83.84 52.76 83.92 52.65 84 52.54 84.09 52.54 84.17 52.87 84.25 53.17 84.34 52.9 84.42 53.06 84.5 52.76 84.59 53.52 84.67 53.57 84.75 53.9 84.84 53.93 84.92 53.88 85 54.34 85.08 54.24 85.17 54.65 85.25 55.27 85.33 55.01 85.42 55.07 85.5 55.23 85.58 54.97 85.67 55.02 85.75 54.96 85.83 54.87 85.92 55.13 86 55.2 86.08 54.8 86.17 54.86 86.25 54.88 86.33 54.72 86.42 54.71 86.5 54.7 86.58 54.83 86.66 54.93 86.75 54.78 86.83 54.71 86.91 54.47 87 54.79 87.08 54.61 87.16 54.76 87.25 54.89 87.33 54.85 87.41 54.31 87.5 54.39 87.58 54.12 87.66 54.29 87.75 54.44 87.83 54.28 87.91 53.59 88 53.19 88.08 53.2 88.16 52.75 88.24 52.91 88.33 53.03 88.41 53.12 88.49 53.69 88.58 53.72 88.66 53.49 88.74 53.9 88.83 54.04 88.91 54.29 88.99 54.08 89.08 54.58 89.16 54.73 89.24 54.27 89.33 54.38 89.41 53.84 89.49 54.3 89.58 54.03 89.66 54.05 89.74 54.3 89.82 54.03 89.91 53.84 89.99 53.74 90.07 54.03 90.16 54.5 90.24 54.17 90.32 54.39 90.41 54.67 90.49 54.7 90.57 54.78 90.66 54.48 90.74 54.13 90.82 54.03 90.91 53.97 90.99 53.63 91.07 53.85 91.16 53.8 91.24 54.04 91.32 53.66 91.4 53.81 91.49 53.73 91.57 53.53 91.65 53.79 91.74 53.51 91.82 53.66 91.9 53.82 91.99 53.77 92.07 53.93 92.15 54.42 92.24 54.34 92.32 53.86 92.4 53.84 92.49 53.7 92.57 53.02 92.65 52.88 92.74 53.05 92.82 53.07 92.9 53.83 92.99 53.77 93.07 54.08 93.15 54.32 93.23 54.01 93.32 54.09 93.4 54.36 93.48 54.25 93.57 54.14 93.65 54.23 93.73 54.06 93.82 54.01 93.9 53.79 93.98 53.78 94.07 53.79 94.15 53.81 94.23 53.7 94.32 54.56 94.4 54.32 94.48 54.54 94.57 54.57 94.65 54.58 94.73 55.1 94.81 54.65 94.9 54.61 94.98 54.98 95.06 55.19 95.15 55.47 95.23 55.75 95.31 55.99 95.4 55.72 95.48 55.57 95.56 55.36 95.65 55.21 95.73 55.24 95.81 55.53 95.9 55.7 95.98 55.38 96.06 55.3 96.15 55.18 96.23 55.39 96.31 55.36 96.39 55.47 96.48 55.48 96.56 55.29 96.64 55.19 96.73 55.07 96.81 54.99 96.89 55.42 96.98 55.05 97.06 55.03 97.14 55.16 97.23 55 97.31 54.84 97.39 54.96 97.48 54.86 97.56 54.91 97.64 54.9 97.73 55.21 97.81 55.01 97.89 55.15 97.97 55.25 98.06 55.26 98.14 55.15 98.22 55.65 98.31 55.73 98.39 55.5 98.47 55.27 98.56 55.78 98.64 55.62 98.72 55.97 98.81 56.45 98.89 56.71 98.97 56.88 99.06 56.44 99.14 56.31 99.22 56.22 99.31 56.01 99.39 56.13 99.47 55.88 99.55 55.64 99.64 55.27 99.72 55.25 99.8 55.04 99.89 54.82 99.97 55.17 100.05 54.96 100.14 54.68 100.22 54.8 100.3 54.57 100.39 54.59 100.47 55.05 100.55 54.73 100.64 54.84 100.72 54.5 100.8 54.6 100.89 54.57 100.97 54.26 101.05 54.3 101.13 54.19 101.22 54.29 101.3 54.52 101.38 54.26 101.47 54.38 101.55 54.53 101.63 54.13 101.72 53.96 101.8 53.85 101.88 53.58 101.97 53.74 102.05 53.99 102.13 53.41 102.22 53.49 102.3 53.03 102.38 52.77 102.47 52.53 102.55 52.06 102.63 52.02 102.72 52.66 102.8 52.41 102.88 52.2 102.96 52.26 103.05 52.41 103.13 52.7 103.21 53.17 103.3 53.02 103.38 52.63 103.46 52.87 103.55 52.59 103.63 52.78 103.71 52.78 103.8 52.96 103.88 53.48 103.96 53.18 104.05 53.19 104.13 52.71 104.21 52.7 104.3 53.06 104.38 52.75 104.46 52.72 104.54 52.86 104.63 52.79 104.71 52.51 104.79 52.67 104.88 52.67 104.96 52.3 105.04 52.07 105.13 52.38 105.21 52.96 105.29 53.28 105.38 53.4 105.46 53 105.54 53.39 105.63 52.92 105.71 53.59 105.79 53.45 105.88 53.88 105.96 53.76 106.04 54.11 106.12 54.4 106.21 54.74 106.29 54.71 106.37 54.73 106.46 54.77 106.54 54.86 106.62 55.06 106.71 54.75 106.79 54.66 106.87 55.11 106.96 55.06 107.04 55.06 107.12 55.27 107.21 55.17 107.29 55.55 107.37 55.29 107.46 55.51 107.54 55.55 107.62 55.51 107.7 55.2 107.79 55.57 107.87 55.6 107.95 55.76 108.04 56.06 108.12 56.02 108.2 55.71 108.29 55.26 108.37 55.24 108.45 54.67 108.54 54.46 108.62 54.35 108.7 54.68 108.79 54.55 108.87 54.16 108.95 54.3 109.04 54.16 109.12 54.48 109.2 54.38 109.28 54.15 109.37 54.67 109.45 54.92 109.53 54.88 109.62 54.5 109.7 54.73 109.78 54.94 109.87 55.47 109.95 55.52 110.03 56.01 110.12 55.82 110.2 56 110.28 55.45 110.37 55.58 110.45 55.48 110.53 55.97 110.62 55.57 110.7 55.66 110.78 55.74 110.86 55.94 110.95 56.03 111.03 56.31 111.11 56.33 111.2 56.73 111.28 56.65 111.36 56.43 111.45 56.06 111.53 55.58 111.61 55.43 111.7 55.02 111.78 54.47 111.86 54.38 111.95 53.77 112.03 54.59 112.11 54.88 112.2 55.09 112.28 54.73 112.36 55.35 112.45 55.53 112.53 55.33 112.61 55.34 112.69 55.3 112.78 55.32 112.86 55.57 112.94 55.42 113.03 55.78 113.11 55.7 113.19 55.46 113.28 55.56 113.36 55.84 113.44 55.56 113.53 55.14 113.61 54.52 113.69 54.6 113.78 54.76 113.86 54.72 113.94 54.78 114.03 54.16 114.11 54.31 114.19 54.32 114.27 54.44 114.36 54.1 114.44 54.51 114.52 54.47 114.61 54.5 114.69 54.56 114.77 54.55 114.86 54.43 114.94 54.58 115.02 54.49 115.11 54.69 115.19 54.59 115.27 54.61 115.36 54.91 115.44 54.9 115.52 54.31 115.61 54.24 115.69 53.66 115.77 53.44 115.85 53.41 115.94 53.27 116.02 52.79 116.1 52.71 116.19 52.76 116.27 52.7 116.35 52.41 116.44 52.52 116.52 52.3 116.6 52.12 116.69 52.81 116.77 52.53 116.85 52.53 116.94 52.62 117.02 53.31 117.1 52.91 117.19 53.2 117.27 53.15 117.35 52.88 117.43 52.86 117.52 52.56 117.6 52.55 117.68 52.81 117.77 53.05 117.85 53.14 117.93 52.68 118.02 52.33 118.1 52.37 118.18 52.27 118.27 52.08 118.35 51.97 118.43 51.76 118.52 51.77 118.6 51.53 118.68 51.89 118.77 51.79 118.85 51.92 118.93 52.19 119.01 51.78 119.1 51.77 119.18 51.61 119.26 52.29 119.35 52.04 119.43 51.92 119.51 52.16 119.6 51.75 119.68 51.54 119.76 51.71 119.85 51.48 119.93 51.61 120.01 51.8 120.1 51.91 120.18 52.14 120.26 52.28 120.35 51.87 120.43 52.16 120.51 52.24 120.59 52.52 120.68 52.78 120.76 53.09 120.84 53.54 120.93 53.25 121.01 53.66 121.09 53.53 121.18 53.65 121.26 53.45 121.34 54.13 121.43 53.79 121.51 54.08 121.59 53.97 121.68 53.95 121.76 54.32 121.84 54.37 121.93 54.55 122.01 54.38 122.09 54.4 122.18 54.32 122.26 54.23 122.34 54.5 122.42 54.6 122.51 54.63 122.59 54.67 122.67 54.7 122.76 54.8 122.84 54.94 122.92 54.82 123.01 54.85 123.09 55.15 123.17 55.08 123.26 54.49 123.34 54.71 123.42 54.73 123.51 54.81 123.59 54.82 123.67 54.34 123.76 53.94 123.84 53.72 123.92 53.67 124 53.22 124.09 53.55 124.17 54.15 124.25 54.28 124.34 54.16 124.42 54.33 124.5 53.89 124.59 53.66 124.67 53.47 124.75 53.29 124.84 53.45 124.92 53.26 125 52.99 125.09 53.13 125.17 53.26 125.25 52.94 125.34 52.83 125.42 53.14 125.5 53.11 125.58 52.86\" class=\"geometry color_\" stroke=\"#88C4C4\"/>\n",
|
||
" <path fill=\"none\" d=\"M21.63,44.35 L 21.71 44.35 21.8 43.82 21.88 43.35 21.96 43.62 22.05 43.41 22.13 43.51 22.21 43.12 22.3 43.17 22.38 43.28 22.46 43.12 22.55 43.57 22.63 43.75 22.71 43.63 22.8 43.98 22.88 43.62 22.96 43.35 23.05 43.91 23.13 43.7 23.21 43.69 23.29 43.56 23.38 43.1 23.46 42.4 23.54 42.32 23.63 41.86 23.71 41.8 23.79 41.96 23.88 41.58 23.96 41.58 24.04 41.28 24.13 41.33 24.21 41.47 24.29 42.07 24.38 41.85 24.46 41.49 24.54 41.28 24.63 41.2 24.71 40.51 24.79 40.83 24.88 41.52 24.96 41.24 25.04 40.84 25.12 40.88 25.21 40.52 25.29 40.31 25.37 40.02 25.46 40.27 25.54 40.01 25.62 39.5 25.71 39.12 25.79 39.49 25.87 39.58 25.96 39.03 26.04 39.65 26.12 39.3 26.21 38.4 26.29 38.48 26.37 37.79 26.46 38.67 26.54 38.72 26.62 38.51 26.7 37.99 26.79 37.51 26.87 38 26.95 38.93 27.04 40.04 27.12 39.6 27.2 40.1 27.29 39.59 27.37 40.61 27.45 40.38 27.54 40.78 27.62 40.93 27.7 40.87 27.79 40.21 27.87 40.01 27.95 40.13 28.04 40.52 28.12 41.19 28.2 41.39 28.28 40.64 28.37 40.43 28.45 40.12 28.53 40.09 28.62 39.89 28.7 39.28 28.78 38.87 28.87 38.37 28.95 38.06 29.03 38.13 29.12 37.91 29.2 37.97 29.28 38.41 29.37 37.79 29.45 37.43 29.53 37.73 29.62 37.14 29.7 37.01 29.78 37.35 29.86 38.33 29.95 38.47 30.03 38.95 30.11 39.03 30.2 38.83 30.28 38.36 30.36 38.38 30.45 38.73 30.53 38.59 30.61 38.35 30.7 38.39 30.78 38.76 30.86 38.39 30.95 38.07 31.03 38.59 31.11 37.94 31.2 38.01 31.28 37.75 31.36 38.02 31.44 38.64 31.53 38.95 31.61 39.85 31.69 40.43 31.78 40.51 31.86 41.07 31.94 41.35 32.03 41.35 32.11 42.09 32.19 42.06 32.28 42.72 32.36 43.36 32.44 43.35 32.53 42.11 32.61 42.05 32.69 42.11 32.78 42.49 32.86 42.71 32.94 42.87 33.02 42.73 33.11 42.66 33.19 42.45 33.27 43.18 33.36 42.83 33.44 42.3 33.52 42.45 33.61 42.02 33.69 42.7 33.77 43.11 33.86 42.7 33.94 42.28 34.02 41.78 34.11 41.2 34.19 41.35 34.27 41.99 34.36 41.89 34.44 41.63 34.52 41.88 34.61 41.92 34.69 41.77 34.77 41.87 34.85 42.01 34.94 41.82 35.02 42.38 35.1 42.11 35.19 42.32 35.27 41.71 35.35 41.14 35.44 41.57 35.52 41.47 35.6 41.16 35.69 41.46 35.77 41.77 35.85 42.38 35.94 42.65 36.02 41.59 36.1 41.68 36.19 41.08 36.27 40.61 36.35 40.61 36.43 40.52 36.52 40.38 36.6 39.92 36.68 39.28 36.77 39.67 36.85 39.31 36.93 39.8 37.02 39.64 37.1 38.95 37.18 38.78 37.27 38.29 37.35 38.85 37.43 39.28 37.52 39.68 37.6 39.76 37.68 39.35 37.77 39.41 37.85 39.68 37.93 39.39 38.01 38.83 38.1 38.34 38.18 37.49 38.26 37.61 38.35 36.62 38.43 36.75 38.51 35.54 38.6 35.5 38.68 34.91 38.76 34.37 38.85 35.17 38.93 35.08 39.01 35.28 39.1 35.12 39.18 35.33 39.26 35.92 39.35 36.39 39.43 36.28 39.51 35.95 39.59 35.86 39.68 35.85 39.76 36.27 39.84 35.76 39.93 35.02 40.01 34.67 40.09 34.56 40.18 34.29 40.26 33.88 40.34 33.39 40.43 32.52 40.51 32.43 40.59 32.21 40.68 31.44 40.76 30.78 40.84 31.24 40.93 31.2 41.01 30.66 41.09 31.18 41.17 30.54 41.26 31.36 41.34 30.24 41.42 30.84 41.51 30.62 41.59 31.3 41.67 31.37 41.76 30.73 41.84 30.25 41.92 30.77 42.01 31.69 42.09 32.8 42.17 32.62 42.26 32.83 42.34 32.62 42.42 32.67 42.51 32.67 42.59 32.36 42.67 31.79 42.75 31.72 42.84 31.78 42.92 33.18 43 33.88 43.09 33.18 43.17 32.94 43.25 32.61 43.34 32.28 43.42 31.95 43.5 31.5 43.59 31.75 43.67 31.85 43.75 30.89 43.84 30.47 43.92 29.53 44 29.08 44.09 29.19 44.17 29.02 44.25 29.16 44.34 29.22 44.42 28.41 44.5 28.59 44.58 28.75 44.67 28.88 44.75 29.41 44.83 29.03 44.92 28.8 45 28.75 45.08 28.39 45.17 28.13 45.25 27.5 45.33 27.71 45.42 27.52 45.5 28.54 45.58 27.37 45.67 27.1 45.75 27.01 45.83 26.66 45.92 26.62 46 26.09 46.08 26.34 46.16 27.1 46.25 27.22 46.33 27.45 46.41 28.84 46.5 28.77 46.58 27.76 46.66 28.34 46.75 27.56 46.83 26.91 46.91 27.25 47 27.42 47.08 26.58 47.16 27.01 47.25 26.8 47.33 27.14 47.41 27.04 47.5 27.19 47.58 27.37 47.66 26.54 47.74 26.92 47.83 25.82 47.91 25.49 47.99 25.82 48.08 25.69 48.16 25.16 48.24 25.98 48.33 25.8 48.41 26.01 48.49 25.83 48.58 26.25 48.66 25.89 48.74 25.96 48.83 26.66 48.91 26.72 48.99 26.3 49.08 27.09 49.16 27.79 49.24 28.33 49.32 28.16 49.41 28.43 49.49 28.07 49.57 28.67 49.66 28.95 49.74 28.74 49.82 28.63 49.91 28.51 49.99 27.73 50.07 27.61 50.16 27.26 50.24 27.02 50.32 27.05 50.41 28.27 50.49 28.65 50.57 29.26 50.66 29.26 50.74 29.67 50.82 30.2 50.9 30.14 50.99 30.85 51.07 30.3 51.15 29.97 51.24 30.51 51.32 30.39 51.4 30.36 51.49 29.56 51.57 29.99 51.65 30.95 51.74 30.78 51.82 31.23 51.9 31.85 51.99 32.23 52.07 32.4 52.15 32.24 52.24 31.59 52.32 31.7 52.4 32.2 52.48 32.2 52.57 32.17 52.65 31.69 52.73 31.74 52.82 32.33 52.9 32.52 52.98 32.73 53.07 32.41 53.15 33.3 53.23 32.88 53.32 32.54 53.4 32.8 53.48 32.23 53.57 32.45 53.65 31.72 53.73 32.3 53.82 32.26 53.9 32.38 53.98 32.33 54.07 32.11 54.15 31.9 54.23 31.51 54.31 31.28 54.4 31.09 54.48 31.03 54.56 31.08 54.65 31.49 54.73 31.49 54.81 32.05 54.9 30.97 54.98 31.25 55.06 31.61 55.15 31.55 55.23 31.1 55.31 30.14 55.4 30.74 55.48 30.74 55.56 30.67 55.65 30.62 55.73 31.3 55.81 31.84 55.89 32.05 55.98 32.89 56.06 33.02 56.14 32.98 56.23 32.61 56.31 32.38 56.39 32.13 56.48 32.52 56.56 32.5 56.64 32.2 56.73 32 56.81 32.13 56.89 33.17 56.98 33.07 57.06 33.21 57.14 33.81 57.23 34.06 57.31 34.47 57.39 35.05 57.47 34.32 57.56 34.82 57.64 35.27 57.72 35.19 57.81 36.21 57.89 36.18 57.97 36.29 58.06 36.3 58.14 36.21 58.22 36.94 58.31 35.98 58.39 35.51 58.47 35.88 58.56 36.81 58.64 37 58.72 38.13 58.81 38.12 58.89 37.47 58.97 37.59 59.05 36.95 59.14 37.15 59.22 36.98 59.3 36.75 59.39 36.33 59.47 36.04 59.55 35.18 59.64 35.61 59.72 35.02 59.8 35.07 59.89 35.36 59.97 34.3 60.05 34.29 60.14 34.11 60.22 33.72 60.3 34.46 60.39 34.71 60.47 35.04 60.55 35.52 60.63 35.59 60.72 35.96 60.8 36.13 60.88 36.11 60.97 36.4 61.05 36.31 61.13 36.66 61.22 36.62 61.3 36.52 61.38 36.35 61.47 35.81 61.55 36.37 61.63 36.91 61.72 36.56 61.8 36.96 61.88 37.22 61.97 37.67 62.05 37.68 62.13 37.76 62.21 37.39 62.3 37.42 62.38 38.18 62.46 38.43 62.55 38.64 62.63 37.65 62.71 37.71 62.8 37.22 62.88 36.49 62.96 36.46 63.05 36.29 63.13 36.22 63.21 34.85 63.3 34.85 63.38 35.46 63.46 35.36 63.55 35.61 63.63 35.8 63.71 35.65 63.8 36.25 63.88 36.42 63.96 36.22 64.04 35.64 64.13 36.05 64.21 35.72 64.29 35.77 64.38 35.53 64.46 35.59 64.54 35.91 64.63 36.07 64.71 36.79 64.79 36.28 64.88 36.33 64.96 36.07 65.04 35.45 65.13 36.03 65.21 35.74 65.29 34.79 65.38 34.94 65.46 34.66 65.54 34.71 65.62 35.15 65.71 35.52 65.79 35.62 65.87 36.2 65.96 36.05 66.04 36.23 66.12 35.51 66.21 35.97 66.29 35.76 66.37 35.9 66.46 36.13 66.54 35.44 66.62 34.84 66.71 35.93 66.79 35.63 66.87 35.88 66.96 36.16 67.04 37.13 67.12 37.9 67.2 37.66 67.29 37.38 67.37 37.12 67.45 37.08 67.54 37.62 67.62 37.56 67.7 37.39 67.79 37.76 67.87 38.22 67.95 38.51 68.04 38.62 68.12 39.75 68.2 39.17 68.29 39.13 68.37 39.5 68.45 38.87 68.54 38.62 68.62 38.5 68.7 37.95 68.78 38.79 68.87 37.93 68.95 38.26 69.03 37.99 69.12 37.21 69.2 36.72 69.28 37.05 69.37 36.79 69.45 37.28 69.53 37.43 69.62 37.16 69.7 37.2 69.78 37.51 69.87 37.84 69.95 37.95 70.03 37.97 70.12 38.85 70.2 39.13 70.28 39.1 70.36 39 70.45 37.66 70.53 37.01 70.61 36.61 70.7 36.89 70.78 37.07 70.86 37.09 70.95 36.89 71.03 37.44 71.11 37.1 71.2 36.33 71.28 36.12 71.36 36.89 71.45 36.27 71.53 37.05 71.61 37.36 71.7 38.02 71.78 38.11 71.86 38.45 71.94 37.81 72.03 38.22 72.11 38.17 72.19 39.19 72.28 39.29 72.36 39.28 72.44 39.38 72.53 39.06 72.61 38.72 72.69 38.78 72.78 38.59 72.86 39.56 72.94 39 73.03 38.61 73.11 38.33 73.19 38.32 73.28 39.2 73.36 39.45 73.44 39.8 73.53 40.08 73.61 40 73.69 39.82 73.77 39.73 73.86 39.81 73.94 39.81 74.02 39.84 74.11 39.75 74.19 39.9 74.27 40 74.36 40.38 74.44 40.19 74.52 40.4 74.61 40.78 74.69 41.05 74.77 41.39 74.86 41.27 74.94 40.45 75.02 40.48 75.11 40.68 75.19 40.55 75.27 40.37 75.35 40.7 75.44 40.43 75.52 41.06 75.6 41.15 75.69 41.33 75.77 41.48 75.85 41.93 75.94 41.34 76.02 41.89 76.1 41.94 76.19 43.02 76.27 43.48 76.35 44.02 76.44 44.05 76.52 43.91 76.6 43.67 76.69 43.68 76.77 43.8 76.85 43.75 76.93 43.46 77.02 43.08 77.1 43.2 77.18 43.15 77.27 42.9 77.35 42.64 77.43 43.69 77.52 44.39 77.6 44.04 77.68 43.48 77.77 43.7 77.85 43.71 77.93 43.53 78.02 42.36 78.1 42.78 78.18 42.93 78.27 42.55 78.35 42.24 78.43 41.9 78.51 41.37 78.6 40.82 78.68 40.69 78.76 40.54 78.85 39.78 78.93 39.6 79.01 39.78 79.1 39.72 79.18 39.89 79.26 39.94 79.35 40.16 79.43 40.46 79.51 40.95 79.6 40.62 79.68 40.89 79.76 41.97 79.85 42.19 79.93 42.09 80.01 42.55 80.09 42.05 80.18 42.44 80.26 41.98 80.34 41.59 80.43 41.45 80.51 41.05 80.59 41.19 80.68 40.73 80.76 40.9 80.84 40.54 80.93 40.94 81.01 40.77 81.09 40.74 81.18 41.18 81.26 40.85 81.34 40.86 81.43 41.04 81.51 41.41 81.59 41.2 81.67 40.56 81.76 39.95 81.84 40.48 81.92 40.67 82.01 41.07 82.09 41.15 82.17 41.12 82.26 41.3 82.34 41.04 82.42 40.97 82.51 41.15 82.59 42.04 82.67 41.24 82.76 41.81 82.84 42.1 82.92 42.21 83.01 42.32 83.09 42.4 83.17 42.52 83.26 42.52 83.34 42.46 83.42 42.26 83.5 42.06 83.59 42.17 83.67 42.26 83.75 41.48 83.84 41.36 83.92 41.39 84 41.02 84.09 41.02 84.17 41.41 84.25 41.4 84.34 40.96 84.42 40.3 84.5 39.71 84.59 39.46 84.67 39.46 84.75 39.1 84.84 38.59 84.92 37.54 85 37.8 85.08 38.09 85.17 38.24 85.25 38.2 85.33 37.67 85.42 37.8 85.5 37.81 85.58 37.82 85.67 38.07 85.75 37.98 85.83 38.7 85.92 38.93 86 38.5 86.08 39.11 86.17 39.07 86.25 38.57 86.33 38.29 86.42 38.33 86.5 38.31 86.58 38.9 86.66 39.27 86.75 38.83 86.83 39.36 86.91 39.46 87 39.34 87.08 38.92 87.16 39.03 87.25 39.22 87.33 39.14 87.41 39.96 87.5 39.34 87.58 39.67 87.66 39.42 87.75 39.55 87.83 39.78 87.91 40.21 88 39.85 88.08 40.53 88.16 40.55 88.24 40.38 88.33 40.71 88.41 40.29 88.49 39.9 88.58 40.22 88.66 40.9 88.74 41.44 88.83 41.71 88.91 40.78 88.99 40.52 89.08 40.08 89.16 40.14 89.24 41.05 89.33 40.93 89.41 42.23 89.49 41.93 89.58 42.33 89.66 42.61 89.74 42.73 89.82 41.71 89.91 40.53 89.99 40.58 90.07 40.48 90.16 40.48 90.24 39.77 90.32 39.88 90.41 39.29 90.49 38.73 90.57 38.46 90.66 39.17 90.74 38.64 90.82 38.59 90.91 39.21 90.99 39.28 91.07 38.92 91.16 39 91.24 39.45 91.32 39.32 91.4 37.54 91.49 37.42 91.57 37.16 91.65 37.29 91.74 37.69 91.82 37.07 91.9 36.8 91.99 37.53 92.07 37.57 92.15 38.03 92.24 37.86 92.32 37.66 92.4 37.92 92.49 38.39 92.57 38.03 92.65 38.39 92.74 38.93 92.82 38.37 92.9 38.03 92.99 38.45 93.07 38.41 93.15 38.47 93.23 38.08 93.32 37.83 93.4 38.1 93.48 37.56 93.57 37.59 93.65 37.32 93.73 37.97 93.82 37.7 93.9 37.91 93.98 37.32 94.07 37.82 94.15 36.84 94.23 37.7 94.32 37.82 94.4 37.09 94.48 36.74 94.57 36.75 94.65 35.99 94.73 37.1 94.81 37.29 94.9 37.74 94.98 37.94 95.06 37.2 95.15 36.83 95.23 35.86 95.31 35.58 95.4 35.69 95.48 35.53 95.56 35.68 95.65 36.21 95.73 36.18 95.81 35.88 95.9 35.9 95.98 35.52 96.06 35.27 96.15 35.04 96.23 35.87 96.31 36.74 96.39 36.25 96.48 35.82 96.56 35.57 96.64 36.7 96.73 36.35 96.81 35.73 96.89 35.82 96.98 36.32 97.06 36.15 97.14 35.85 97.23 34.77 97.31 34.5 97.39 34.53 97.48 34.74 97.56 35.19 97.64 35.8 97.73 36.45 97.81 36.46 97.89 36.33 97.97 37.19 98.06 37.63 98.14 37.94 98.22 38.96 98.31 38.56 98.39 39.21 98.47 39.02 98.56 39.13 98.64 38.91 98.72 39.07 98.81 39.14 98.89 38.69 98.97 38.14 99.06 38.24 99.14 37.49 99.22 37.44 99.31 37.17 99.39 37.34 99.47 37.48 99.55 37.7 99.64 37 99.72 37.67 99.8 38.12 99.89 37.06 99.97 36.87 100.05 36.6 100.14 36.03 100.22 35.86 100.3 35.89 100.39 35.93 100.47 35.94 100.55 36.78 100.64 36.61 100.72 36.16 100.8 35.45 100.89 34.97 100.97 33.9 101.05 33.04 101.13 33.5 101.22 34.45 101.3 35.03 101.38 35.19 101.47 34.8 101.55 34.92 101.63 35.69 101.72 35.9 101.8 34.54 101.88 35.3 101.97 35.44 102.05 34.88 102.13 34.34 102.22 33.34 102.3 33.63 102.38 34.11 102.47 33.64 102.55 33.94 102.63 34.24 102.72 33.63 102.8 34.15 102.88 34.21 102.96 33.56 103.05 33.13 103.13 32.28 103.21 31.78 103.3 31.5 103.38 30.43 103.46 30.09 103.55 29.62 103.63 29.33 103.71 28.94 103.8 29.48 103.88 29.98 103.96 29.42 104.05 29.61 104.13 30.27 104.21 31.26 104.3 31.09 104.38 31.76 104.46 32.2 104.54 32.52 104.63 32.58 104.71 33.08 104.79 33.51 104.88 33.51 104.96 33.87 105.04 33.81 105.13 34.09 105.21 34.01 105.29 33.56 105.38 33.06 105.46 33.35 105.54 32.84 105.63 32.08 105.71 31.47 105.79 30.91 105.88 30.99 105.96 31.24 106.04 31.26 106.12 31.74 106.21 32.18 106.29 31.67 106.37 31.94 106.46 31.25 106.54 30.49 106.62 29.74 106.71 29.11 106.79 28.57 106.87 28.83 106.96 28.55 107.04 28.51 107.12 28.46 107.21 28.93 107.29 29.13 107.37 29.3 107.46 28.98 107.54 29.12 107.62 29.64 107.7 29.37 107.79 29.3 107.87 28.78 107.95 28.98 108.04 28.86 108.12 28.6 108.2 28.79 108.29 29.07 108.37 28.62 108.45 28.31 108.54 28.34 108.62 27.43 108.7 27.45 108.79 28.43 108.87 29.2 108.95 28.99 109.04 29 109.12 29.17 109.2 28.95 109.28 28.3 109.37 27.72 109.45 28.82 109.53 28.9 109.62 28.98 109.7 28.84 109.78 27.88 109.87 27.9 109.95 28.05 110.03 27.58 110.12 28 110.2 28.5 110.28 29.1 110.37 29.49 110.45 29.18 110.53 29.81 110.62 29.4 110.7 28.92 110.78 30.13 110.86 29.79 110.95 29.84 111.03 29.89 111.11 30.05 111.2 29.13 111.28 27.82 111.36 27.74 111.45 27.81 111.53 27.43 111.61 27.2 111.7 27.66 111.78 27.48 111.86 27.27 111.95 26.56 112.03 26.08 112.11 26.73 112.2 26.97 112.28 26.62 112.36 26.09 112.45 26.5 112.53 26.52 112.61 26.66 112.69 26.39 112.78 25.9 112.86 26.17 112.94 26.61 113.03 27.93 113.11 28.71 113.19 27.94 113.28 29.11 113.36 28.95 113.44 29.77 113.53 28.91 113.61 29.68 113.69 28.78 113.78 29.78 113.86 29.87 113.94 29.5 114.03 30.03 114.11 30.32 114.19 30.56 114.27 30.2 114.36 29.51 114.44 30.28 114.52 29.3 114.61 28.42 114.69 28.71 114.77 28.82 114.86 29.67 114.94 29.37 115.02 29.96 115.11 30.4 115.19 30.34 115.27 29.83 115.36 29.79 115.44 29.11 115.52 29.09 115.61 28.87 115.69 29.25 115.77 29.8 115.85 29.74 115.94 29.07 116.02 28.98 116.1 29.49 116.19 29.23 116.27 29.07 116.35 29.4 116.44 29.74 116.52 29.8 116.6 30.1 116.69 28.99 116.77 29.21 116.85 29.57 116.94 29.74 117.02 29.82 117.1 29.72 117.19 28.72 117.27 28.46 117.35 28.94 117.43 28.42 117.52 28.24 117.6 28.46 117.68 28.68 117.77 29.24 117.85 29.7 117.93 29.34 118.02 28.83 118.1 28.49 118.18 29 118.27 28.11 118.35 27.86 118.43 28.34 118.52 27.5 118.6 26.75 118.68 26.99 118.77 27.64 118.85 27.21 118.93 26.69 119.01 26.03 119.1 24.71 119.18 25.53 119.26 25.87 119.35 25.78 119.43 25.88 119.51 26.88 119.6 26.56 119.68 26.08 119.76 25.81 119.85 25.64 119.93 26.75 120.01 26.43 120.1 26.06 120.18 26.94 120.26 26.16 120.35 26.79 120.43 26.57 120.51 27.03 120.59 26.63 120.68 27.22 120.76 28.43 120.84 28.61 120.93 28.76 121.01 29.04 121.09 28.82 121.18 28.32 121.26 28.29 121.34 28.64 121.43 29.2 121.51 29.36 121.59 29.48 121.68 28.5 121.76 28.75 121.84 29.53 121.93 29.67 122.01 29.62 122.09 29.21 122.18 28.63 122.26 29.53 122.34 29.52 122.42 30.52 122.51 30 122.59 30.15 122.67 30.3 122.76 31.04 122.84 30.76 122.92 30.37 123.01 30.75 123.09 30.95 123.17 31.23 123.26 31.22 123.34 31.11 123.42 30.44 123.51 30.94 123.59 31.69 123.67 32.2 123.76 31.62 123.84 31.14 123.92 31.78 124 32.42 124.09 33.08 124.17 33.16 124.25 32.62 124.34 32.62 124.42 32.09 124.5 32.12 124.59 31.82 124.67 32 124.75 31.76 124.84 31.67 124.92 32.02 125 31.5 125.09 32.2 125.17 30.81 125.25 30.75 125.34 30.05 125.42 28.78 125.5 28.05 125.58 27.86\" class=\"geometry color_\" stroke=\"#BECAB9\"/>\n",
|
||
" <path fill=\"none\" d=\"M21.63,44.35 L 21.71 44.35 21.8 43.74 21.88 43.65 21.96 43.55 22.05 43.53 22.13 43.48 22.21 43.34 22.3 43.42 22.38 42.99 22.46 43.42 22.55 43.26 22.63 42.72 22.71 42.52 22.8 42.45 22.88 42.2 22.96 41.9 23.05 42.03 23.13 41.74 23.21 40.93 23.29 41.8 23.38 41.73 23.46 41.32 23.54 41.26 23.63 41.24 23.71 41.61 23.79 41.82 23.88 42.12 23.96 42.48 24.04 42.39 24.13 42.55 24.21 42.85 24.29 42.94 24.38 43.28 24.46 44.25 24.54 44.07 24.63 43.81 24.71 43.95 24.79 44.35 24.88 44.34 24.96 43.9 25.04 42.94 25.12 43.17 25.21 43.09 25.29 43.5 25.37 43.31 25.46 43.37 25.54 43.79 25.62 44.1 25.71 43.4 25.79 43.16 25.87 43.35 25.96 43.82 26.04 44.32 26.12 43.9 26.21 43.35 26.29 43.07 26.37 42.86 26.46 42.48 26.54 42.39 26.62 42.27 26.7 42.26 26.79 42.41 26.87 42.84 26.95 43.64 27.04 43.77 27.12 43.72 27.2 43.87 27.29 44.33 27.37 43.69 27.45 43.82 27.54 43.42 27.62 43.14 27.7 42.85 27.79 43.09 27.87 43.28 27.95 43.24 28.04 42.77 28.12 42.57 28.2 43.06 28.28 43.36 28.37 43.36 28.45 43.18 28.53 43.23 28.62 42.55 28.7 42.91 28.78 42.69 28.87 42.83 28.95 42.57 29.03 42.66 29.12 42.78 29.2 43.36 29.28 42.75 29.37 42.61 29.45 42.73 29.53 43.07 29.62 43.23 29.7 43.52 29.78 43.55 29.86 43.29 29.95 43.6 30.03 44.28 30.11 44.4 30.2 44.17 30.28 44.19 30.36 44.46 30.45 44.68 30.53 44.58 30.61 44.14 30.7 44.28 30.78 43.85 30.86 42.86 30.95 43.22 31.03 43.44 31.11 42.78 31.2 42.41 31.28 41.94 31.36 41.98 31.44 41.46 31.53 42.23 31.61 42.36 31.69 42.53 31.78 42.73 31.86 43.1 31.94 42.85 32.03 42.78 32.11 43.12 32.19 43.35 32.28 43.37 32.36 43.11 32.44 42.83 32.53 42.47 32.61 42.44 32.69 42.25 32.78 42.73 32.86 43.08 32.94 43.28 33.02 43.34 33.11 42.7 33.19 42.5 33.27 42.82 33.36 42.45 33.44 41.39 33.52 41.09 33.61 42.05 33.69 41.77 33.77 41.49 33.86 41.16 33.94 41.24 34.02 41.03 34.11 40.76 34.19 40.98 34.27 41.11 34.36 40.6 34.44 40.64 34.52 41.1 34.61 40.88 34.69 39.94 34.77 40.43 34.85 40.07 34.94 39.94 35.02 40.09 35.1 40.09 35.19 40.02 35.27 40.6 35.35 40.71 35.44 40.81 35.52 40.88 35.6 41.81 35.69 41.85 35.77 41.71 35.85 41.85 35.94 41.51 36.02 41.73 36.1 41.45 36.19 41.32 36.27 41.15 36.35 40.68 36.43 40.34 36.52 39.65 36.6 39.76 36.68 39.43 36.77 39.64 36.85 39.41 36.93 39.28 37.02 38.36 37.1 37.89 37.18 38.34 37.27 38.25 37.35 38.46 37.43 38.69 37.52 38.26 37.6 37.79 37.68 37.8 37.77 38.29 37.85 38.27 37.93 37.75 38.01 38.48 38.1 38.55 38.18 37.69 38.26 37.39 38.35 37.15 38.43 36.61 38.51 37.45 38.6 36.8 38.68 37.37 38.76 37.02 38.85 37.54 38.93 37.53 39.01 37.87 39.1 38.01 39.18 38.35 39.26 38.12 39.35 37.33 39.43 37.75 39.51 37.68 39.59 37.6 39.68 37.32 39.76 37.2 39.84 36.54 39.93 36.08 40.01 36.39 40.09 36.62 40.18 36.62 40.26 36.83 40.34 36.61 40.43 36.3 40.51 36.14 40.59 35.95 40.68 36.27 40.76 36.02 40.84 35.85 40.93 35.42 41.01 36.18 41.09 35.98 41.17 36.06 41.26 35.71 41.34 35.6 41.42 35.93 41.51 36.32 41.59 36.32 41.67 36.62 41.76 36.83 41.84 37.02 41.92 36.31 42.01 36.28 42.09 35.81 42.17 35.62 42.26 36.13 42.34 36.63 42.42 36.29 42.51 36.29 42.59 36.46 42.67 36.57 42.75 36.53 42.84 36.3 42.92 36.3 43 37.02 43.09 37.46 43.17 37.84 43.25 37.67 43.34 37.2 43.42 36.97 43.5 37.06 43.59 36.97 43.67 37.52 43.75 36.95 43.84 36.58 43.92 36.44 44 36.07 44.09 35.77 44.17 35.57 44.25 36.24 44.34 35.75 44.42 35.32 44.5 34.88 44.58 35.21 44.67 35.19 44.75 35.09 44.83 35.01 44.92 34.85 45 34.56 45.08 34.38 45.17 34.3 45.25 34.75 45.33 34.88 45.42 34.07 45.5 34.54 45.58 35.13 45.67 36.08 45.75 36.43 45.83 36.41 45.92 36.41 46 37.04 46.08 37.36 46.16 36.67 46.25 35.93 46.33 35.44 46.41 36.53 46.5 36.38 46.58 36.1 46.66 36.02 46.75 36.11 46.83 35.66 46.91 34.86 47 34.65 47.08 35.22 47.16 34.94 47.25 35.43 47.33 35.26 47.41 35.15 47.5 34.63 47.58 35.04 47.66 35.03 47.74 35.05 47.83 35.2 47.91 35.16 47.99 35.35 48.08 35.44 48.16 35.27 48.24 35.27 48.33 35.38 48.41 35.19 48.49 35.23 48.58 34.07 48.66 33.4 48.74 34.21 48.83 34.12 48.91 34.42 48.99 34.92 49.08 34.56 49.16 34.75 49.24 34.77 49.32 34.03 49.41 34.11 49.49 34.48 49.57 33.73 49.66 33.54 49.74 33.17 49.82 32.8 49.91 33.39 49.99 33.53 50.07 33.66 50.16 33.64 50.24 33.26 50.32 33.32 50.41 33.22 50.49 32.92 50.57 33.42 50.66 33.36 50.74 33.09 50.82 33.46 50.9 33.43 50.99 33.43 51.07 34.22 51.15 34.21 51.24 34.4 51.32 34.53 51.4 35.21 51.49 35.44 51.57 34.45 51.65 34.73 51.74 34.65 51.82 34.92 51.9 35.13 51.99 35.39 52.07 34.54 52.15 34.76 52.24 34.65 52.32 34.17 52.4 33.63 52.48 34.19 52.57 34.09 52.65 33.58 52.73 33.61 52.82 33.84 52.9 33.15 52.98 32.78 53.07 32.53 53.15 33.33 53.23 31.97 53.32 31.43 53.4 30.68 53.48 30.53 53.57 29.54 53.65 29.73 53.73 30.31 53.82 29.91 53.9 30.29 53.98 29.88 54.07 29.58 54.15 29.21 54.23 29.35 54.31 28.81 54.4 28.85 54.48 29.34 54.56 29.04 54.65 29.06 54.73 29.12 54.81 28.93 54.9 28.83 54.98 29.21 55.06 28.9 55.15 28.46 55.23 28.68 55.31 28.93 55.4 29.25 55.48 28.99 55.56 28.63 55.65 28.99 55.73 28.36 55.81 27.85 55.89 29.36 55.98 28.4 56.06 28.82 56.14 27.79 56.23 27.41 56.31 27.83 56.39 27.63 56.48 28.28 56.56 28.62 56.64 29.51 56.73 29.85 56.81 30.05 56.89 29.55 56.98 29.31 57.06 28.7 57.14 28.14 57.23 28.85 57.31 28.7 57.39 28.57 57.47 28.16 57.56 28.12 57.64 28.77 57.72 28.82 57.81 28.48 57.89 29.09 57.97 28.31 58.06 28.1 58.14 28.02 58.22 28.09 58.31 28.38 58.39 28.31 58.47 28.63 58.56 28.43 58.64 29.14 58.72 29.47 58.81 28.94 58.89 28.65 58.97 28.92 59.05 28.4 59.14 28.36 59.22 29.05 59.3 29.08 59.39 28.55 59.47 28.12 59.55 28.32 59.64 27.71 59.72 27.01 59.8 26.81 59.89 26.82 59.97 27.09 60.05 26.97 60.14 27.83 60.22 28.05 60.3 27.61 60.39 27.37 60.47 26.75 60.55 26.28 60.63 25.33 60.72 25.23 60.8 24.76 60.88 25 60.97 24.48 61.05 24.78 61.13 26 61.22 26.34 61.3 26.18 61.38 26.87 61.47 26.5 61.55 26.33 61.63 25.57 61.72 26.62 61.8 25.9 61.88 26.12 61.97 26.4 62.05 26.64 62.13 27.4 62.21 26.34 62.3 26.33 62.38 26.1 62.46 26.11 62.55 26.75 62.63 26.56 62.71 26.44 62.8 26.17 62.88 26.26 62.96 26.73 63.05 26.26 63.13 26.03 63.21 26.17 63.3 26.17 63.38 25.99 63.46 25.64 63.55 26.1 63.63 26.43 63.71 26.08 63.8 25.94 63.88 26.32 63.96 26.46 64.04 26.26 64.13 26.64 64.21 26.73 64.29 26.74 64.38 26.82 64.46 26.85 64.54 27.15 64.63 27.57 64.71 27.67 64.79 28.08 64.88 28.29 64.96 28.48 65.04 28.09 65.13 27.8 65.21 27.69 65.29 26.69 65.38 26.76 65.46 26.56 65.54 27.62 65.62 27.48 65.71 28.95 65.79 28.84 65.87 29.38 65.96 28.94 66.04 29.2 66.12 28.19 66.21 27.98 66.29 28.01 66.37 26.72 66.46 26.72 66.54 26.06 66.62 27.35 66.71 27.79 66.79 27.17 66.87 27.32 66.96 28.12 67.04 27.66 67.12 27.99 67.2 28.08 67.29 27.89 67.37 27.35 67.45 26.61 67.54 27.2 67.62 28.25 67.7 28.87 67.79 29.61 67.87 28.77 67.95 29.01 68.04 29.83 68.12 29.84 68.2 29.38 68.29 30.07 68.37 29.96 68.45 29.26 68.54 30.17 68.62 30 68.7 30.86 68.78 30.75 68.87 30.53 68.95 30.23 69.03 29.8 69.12 29.71 69.2 30.1 69.28 29.8 69.37 31.25 69.45 31.72 69.53 30.72 69.62 31.13 69.7 31.04 69.78 31.47 69.87 31.74 69.95 31.02 70.03 31.47 70.12 31.6 70.2 31.66 70.28 31.9 70.36 31.49 70.45 31.23 70.53 31.45 70.61 31.48 70.7 31.74 70.78 32.11 70.86 31.58 70.95 31.47 71.03 30.88 71.11 30.32 71.2 31.17 71.28 31.11 71.36 31.12 71.45 32 71.53 31.47 71.61 31.96 71.7 32.4 71.78 31.85 71.86 31.65 71.94 31.48 72.03 32.25 72.11 32.21 72.19 32.4 72.28 32.12 72.36 32.06 72.44 31.78 72.53 32.43 72.61 32.66 72.69 31.77 72.78 32.17 72.86 32.61 72.94 33.15 73.03 33.44 73.11 33.4 73.19 32.55 73.28 32.24 73.36 32.73 73.44 32.81 73.53 32.97 73.61 32.52 73.69 32.61 73.77 32.19 73.86 32.43 73.94 32.35 74.02 33.11 74.11 32.83 74.19 33.01 74.27 33.21 74.36 32.91 74.44 33.74 74.52 33.95 74.61 34.11 74.69 34.15 74.77 33.96 74.86 33.72 74.94 33.23 75.02 33.58 75.11 33.65 75.19 33.51 75.27 32.86 75.35 32.68 75.44 32.81 75.52 32.7 75.6 32.41 75.69 31.99 75.77 32.04 75.85 32.51 75.94 32.76 76.02 33.44 76.1 33.97 76.19 34.32 76.27 34.12 76.35 34.94 76.44 34.83 76.52 35.07 76.6 34.65 76.69 35.13 76.77 34.11 76.85 34.72 76.93 35.38 77.02 34.14 77.1 34.13 77.18 34.65 77.27 34.46 77.35 35.21 77.43 34.93 77.52 34.68 77.6 34.17 77.68 33.39 77.77 33.81 77.85 33.9 77.93 33.8 78.02 33.35 78.1 33.58 78.18 32.75 78.27 31.84 78.35 31.16 78.43 31.68 78.51 32.13 78.6 31.69 78.68 31.9 78.76 31.86 78.85 32.26 78.93 32.5 79.01 32.51 79.1 32.36 79.18 32.51 79.26 32.73 79.35 33.67 79.43 33.29 79.51 34.28 79.6 34.56 79.68 35.3 79.76 35.32 79.85 34.6 79.93 34.58 80.01 35.32 80.09 35.54 80.18 35.19 80.26 35.11 80.34 35.81 80.43 35.98 80.51 35.97 80.59 36.01 80.68 35.98 80.76 36.17 80.84 36.22 80.93 36.23 81.01 36.06 81.09 36.02 81.18 36.93 81.26 36.35 81.34 36.94 81.43 36.61 81.51 36.29 81.59 35.59 81.67 35.3 81.76 36.15 81.84 35.71 81.92 35.52 82.01 36.27 82.09 37.53 82.17 37.81 82.26 38.23 82.34 38.64 82.42 39.09 82.51 38.65 82.59 39.51 82.67 39.88 82.76 40.37 82.84 40.4 82.92 41.56 83.01 41.46 83.09 41.82 83.17 41.57 83.26 41.39 83.34 41.58 83.42 41.57 83.5 41.17 83.59 41.5 83.67 40.81 83.75 40.5 83.84 40.57 83.92 40.13 84 39.79 84.09 39.79 84.17 39.79 84.25 39.83 84.34 39.67 84.42 38.94 84.5 38.97 84.59 38.12 84.67 37.79 84.75 38.35 84.84 38.18 84.92 38.06 85 38.76 85.08 38.89 85.17 39.36 85.25 39.06 85.33 39.44 85.42 39.38 85.5 39.23 85.58 38.94 85.67 38.78 85.75 39.09 85.83 38.96 85.92 39.2 86 38.71 86.08 38.34 86.17 37.88 86.25 37.77 86.33 38.13 86.42 37.99 86.5 39.02 86.58 38.7 86.66 38.08 86.75 37.79 86.83 37.52 86.91 38.05 87 38.01 87.08 37.87 87.16 37.66 87.25 37 87.33 37.11 87.41 37.1 87.5 36.76 87.58 36.03 87.66 35.74 87.75 36.31 87.83 36.76 87.91 37.5 88 37.23 88.08 36.62 88.16 36.28 88.24 35.92 88.33 36.16 88.41 36.81 88.49 36.75 88.58 36.84 88.66 36.84 88.74 36.05 88.83 36.09 88.91 35.35 88.99 35.32 89.08 35.25 89.16 35.4 89.24 35.57 89.33 35.68 89.41 35.76 89.49 34.84 89.58 34.61 89.66 34.75 89.74 35.23 89.82 35.52 89.91 35.7 89.99 35.99 90.07 36.27 90.16 35.74 90.24 35.17 90.32 34.85 90.41 35.36 90.49 35.34 90.57 35.87 90.66 35.34 90.74 35.39 90.82 34.76 90.91 34.94 90.99 34.24 91.07 34.55 91.16 34.32 91.24 34.7 91.32 34.68 91.4 34.6 91.49 33.76 91.57 33.83 91.65 34.1 91.74 33.5 91.82 32.87 91.9 32.53 91.99 31.56 92.07 31.73 92.15 32.89 92.24 32.68 92.32 32.62 92.4 32.29 92.49 32.03 92.57 31.96 92.65 32.19 92.74 32.25 92.82 32.77 92.9 32.6 92.99 32.89 93.07 32.53 93.15 32.46 93.23 33.45 93.32 33.94 93.4 34.23 93.48 33.71 93.57 34.15 93.65 34.3 93.73 34.27 93.82 33.52 93.9 33.59 93.98 33.88 94.07 33.68 94.15 34.56 94.23 33.9 94.32 34.23 94.4 34.43 94.48 34.6 94.57 35.37 94.65 34.45 94.73 34.16 94.81 34.47 94.9 34.39 94.98 34.21 95.06 34.01 95.15 33.82 95.23 33.69 95.31 32.73 95.4 32.95 95.48 32.85 95.56 32.98 95.65 32.59 95.73 32.67 95.81 33.87 95.9 33.42 95.98 32.58 96.06 32.77 96.15 32.41 96.23 32.36 96.31 31.87 96.39 32.01 96.48 31.99 96.56 32.22 96.64 32.17 96.73 31.91 96.81 31.85 96.89 32.13 96.98 32.2 97.06 31.52 97.14 31.39 97.23 30.87 97.31 31.24 97.39 31.31 97.48 31.96 97.56 31.57 97.64 32.11 97.73 31.5 97.81 30.71 97.89 30.86 97.97 30.48 98.06 31.09 98.14 30.39 98.22 30.98 98.31 29.99 98.39 30.09 98.47 29.11 98.56 28.74 98.64 28.02 98.72 27.96 98.81 28.39 98.89 28.56 98.97 27.87 99.06 27.16 99.14 27.33 99.22 27.41 99.31 27.55 99.39 26.86 99.47 27.6 99.55 27.33 99.64 27.52 99.72 27.22 99.8 26.98 99.89 27.76 99.97 28.05 100.05 27.57 100.14 27.32 100.22 27.54 100.3 27.55 100.39 28.54 100.47 28.63 100.55 28.91 100.64 28.74 100.72 28.71 100.8 28.4 100.89 29.41 100.97 29.44 101.05 30.37 101.13 29.63 101.22 29.65 101.3 29.59 101.38 29.65 101.47 29.52 101.55 29.62 101.63 30.03 101.72 30.73 101.8 31.5 101.88 31.41 101.97 30.97 102.05 31.5 102.13 32.01 102.22 31.33 102.3 31.23 102.38 31.66 102.47 31.87 102.55 31.92 102.63 31.39 102.72 31.96 102.8 32.18 102.88 31.82 102.96 31.86 103.05 32.54 103.13 32.74 103.21 33.35 103.3 33.24 103.38 33.6 103.46 32.58 103.55 32.49 103.63 32.22 103.71 32.52 103.8 32.35 103.88 32.21 103.96 32.81 104.05 32.74 104.13 32.4 104.21 32.95 104.3 33.66 104.38 33.46 104.46 34.08 104.54 34.02 104.63 34.02 104.71 33.65 104.79 33.99 104.88 33.99 104.96 33.21 105.04 32.14 105.13 32.35 105.21 33.11 105.29 33.04 105.38 32.52 105.46 32.77 105.54 33.3 105.63 33.27 105.71 33.15 105.79 33.64 105.88 33.6 105.96 33.73 106.04 33.64 106.12 33.33 106.21 31.86 106.29 32.4 106.37 31.29 106.46 30.82 106.54 29.88 106.62 29.85 106.71 29.89 106.79 30.56 106.87 30.56 106.96 30.33 107.04 30.39 107.12 30.57 107.21 30.02 107.29 29.79 107.37 29.18 107.46 28.38 107.54 28.75 107.62 29.27 107.7 29.59 107.79 28.91 107.87 28.36 107.95 28.17 108.04 28.23 108.12 28.75 108.2 27.91 108.29 27.51 108.37 26.91 108.45 26.37 108.54 26.44 108.62 27.6 108.7 29.24 108.79 29.48 108.87 29.88 108.95 30.15 109.04 29.23 109.12 29.24 109.2 28.76 109.28 28.87 109.37 28.69 109.45 29.25 109.53 27.91 109.62 27.37 109.7 27.22 109.78 27.37 109.87 26.45 109.95 26.25 110.03 26.35 110.12 26.71 110.2 27.6 110.28 28.55 110.37 29.26 110.45 30.2 110.53 29.86 110.62 30.14 110.7 30.1 110.78 30.75 110.86 30.77 110.95 30.72 111.03 31.28 111.11 30.9 111.2 30.74 111.28 31.58 111.36 32.47 111.45 32.77 111.53 33.45 111.61 33.58 111.7 33.65 111.78 33.71 111.86 34.03 111.95 33.28 112.03 32.82 112.11 33.34 112.2 33.32 112.28 33.62 112.36 33.27 112.45 32.74 112.53 32.87 112.61 33.12 112.69 32.9 112.78 32.82 112.86 32.65 112.94 32.39 113.03 31.97 113.11 32.3 113.19 33.04 113.28 33.1 113.36 33.45 113.44 33.69 113.53 33.9 113.61 34.24 113.69 33.99 113.78 34.16 113.86 33.99 113.94 32.94 114.03 33.35 114.11 33.28 114.19 33.9 114.27 33.45 114.36 33.15 114.44 32.95 114.52 33.4 114.61 33.02 114.69 32.74 114.77 32.99 114.86 31.67 114.94 31.46 115.02 31.62 115.11 31.65 115.19 32.1 115.27 31.78 115.36 31.89 115.44 32.09 115.52 31.74 115.61 31.49 115.69 31.43 115.77 30.97 115.85 30.68 115.94 30.18 116.02 30.61 116.1 30.7 116.19 30.59 116.27 30.96 116.35 30.93 116.44 31.79 116.52 32.58 116.6 32.22 116.69 31.7 116.77 31.95 116.85 31.87 116.94 32.14 117.02 31.97 117.1 32.67 117.19 31.43 117.27 31.03 117.35 30.51 117.43 30.57 117.52 31.76 117.6 31.69 117.68 31.93 117.77 32.54 117.85 33.34 117.93 33.76 118.02 34.79 118.1 35.38 118.18 35.01 118.27 35.01 118.35 34.6 118.43 35.18 118.52 35.88 118.6 36.65 118.68 36.38 118.77 35.73 118.85 35.67 118.93 35.41 119.01 35.11 119.1 35.73 119.18 34.79 119.26 35.11 119.35 35.56 119.43 35.94 119.51 37.02 119.6 37.22 119.68 37.39 119.76 36.73 119.85 36.23 119.93 35.98 120.01 36.23 120.1 36.25 120.18 35.78 120.26 35.42 120.35 35.24 120.43 35.82 120.51 35.09 120.59 33.92 120.68 33.08 120.76 32.81 120.84 32.9 120.93 33.45 121.01 33.33 121.09 34.63 121.18 34.79 121.26 34.74 121.34 34.4 121.43 33.99 121.51 34.63 121.59 34.08 121.68 33.94 121.76 34.11 121.84 33.85 121.93 33.41 122.01 33.51 122.09 33.25 122.18 33.34 122.26 32.93 122.34 33.74 122.42 33.3 122.51 33.57 122.59 34.23 122.67 33.63 122.76 33.96 122.84 34.27 122.92 34.12 123.01 34.17 123.09 34.69 123.17 34.8 123.26 34.38 123.34 33.94 123.42 33.85 123.51 33.58 123.59 32.59 123.67 32.48 123.76 31.93 123.84 32.49 123.92 31.62 124 31.98 124.09 31.5 124.17 31.97 124.25 31.23 124.34 32.02 124.42 31.91 124.5 32.66 124.59 33.19 124.67 32.7 124.75 33.16 124.84 33.68 124.92 33.16 125 33.29 125.09 32.91 125.17 32.72 125.25 32.4 125.34 32.56 125.42 32.6 125.5 33.28 125.58 33.62\" class=\"geometry color_\" stroke=\"#D2B497\"/>\n",
|
||
" </g>\n",
|
||
" </g>\n",
|
||
" </g>\n",
|
||
" <g class=\"guide ylabels\" font-size=\"2.82\" font-family=\"'PT Sans Caption','Helvetica Neue','Helvetica',sans-serif\" fill=\"#6C606B\" id=\"fig-7aaa8130fd5d4b6da423c495113b6271-element-15\">\n",
|
||
" <text x=\"18.63\" y=\"83.39\" text-anchor=\"end\" dy=\"0.35em\">0</text>\n",
|
||
" <text x=\"18.63\" y=\"64.29\" text-anchor=\"end\" dy=\"0.35em\">50</text>\n",
|
||
" <text x=\"18.63\" y=\"45.19\" text-anchor=\"end\" dy=\"0.35em\">100</text>\n",
|
||
" <text x=\"18.63\" y=\"26.1\" text-anchor=\"end\" dy=\"0.35em\">150</text>\n",
|
||
" <text x=\"18.63\" y=\"7\" text-anchor=\"end\" dy=\"0.35em\">200</text>\n",
|
||
" </g>\n",
|
||
" <g font-size=\"3.88\" font-family=\"'PT Sans','Helvetica Neue','Helvetica',sans-serif\" fill=\"#564A55\" stroke=\"#000000\" stroke-opacity=\"0.000\" id=\"fig-7aaa8130fd5d4b6da423c495113b6271-element-16\">\n",
|
||
" <text x=\"8.81\" y=\"43.19\" text-anchor=\"middle\" dy=\"0.35em\" transform=\"rotate(-90, 8.81, 45.19)\">Value</text>\n",
|
||
" </g>\n",
|
||
"</g>\n",
|
||
"<defs>\n",
|
||
"<clipPath id=\"fig-7aaa8130fd5d4b6da423c495113b6271-element-9\">\n",
|
||
" <path d=\"M19.63,5 L 127.58 5 127.58 85.39 19.63 85.39\" />\n",
|
||
"</clipPath\n",
|
||
"></defs>\n",
|
||
"</svg>\n"
|
||
],
|
||
"text/html": [
|
||
"<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n",
|
||
"<svg xmlns=\"http://www.w3.org/2000/svg\"\n",
|
||
" xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
|
||
" xmlns:gadfly=\"http://www.gadflyjl.org/ns\"\n",
|
||
" version=\"1.2\"\n",
|
||
" width=\"141.42mm\" height=\"100mm\" viewBox=\"0 0 141.42 100\"\n",
|
||
" stroke=\"none\"\n",
|
||
" fill=\"#000000\"\n",
|
||
" stroke-width=\"0.3\"\n",
|
||
" font-size=\"3.88\"\n",
|
||
"\n",
|
||
" id=\"fig-0378e04b897742b597befd2e8e1c169e\">\n",
|
||
"<g class=\"plotroot xscalable yscalable\" id=\"fig-0378e04b897742b597befd2e8e1c169e-element-1\">\n",
|
||
" <g font-size=\"3.88\" font-family=\"'PT Sans','Helvetica Neue','Helvetica',sans-serif\" fill=\"#564A55\" stroke=\"#000000\" stroke-opacity=\"0.000\" id=\"fig-0378e04b897742b597befd2e8e1c169e-element-2\">\n",
|
||
" <text x=\"73.61\" y=\"88.39\" text-anchor=\"middle\" dy=\"0.6em\">Years</text>\n",
|
||
" </g>\n",
|
||
" <g class=\"guide colorkey\" id=\"fig-0378e04b897742b597befd2e8e1c169e-element-3\">\n",
|
||
" <g font-size=\"2.82\" font-family=\"'PT Sans','Helvetica Neue','Helvetica',sans-serif\" fill=\"#4C404B\" id=\"fig-0378e04b897742b597befd2e8e1c169e-element-4\">\n",
|
||
" <text x=\"131.9\" y=\"66.46\" dy=\"0.35em\">1</text>\n",
|
||
" <text x=\"131.9\" y=\"39.15\" dy=\"0.35em\">5</text>\n",
|
||
" <text x=\"131.9\" y=\"59.63\" dy=\"0.35em\">2</text>\n",
|
||
" <text x=\"131.9\" y=\"52.81\" dy=\"0.35em\">3</text>\n",
|
||
" <text x=\"131.9\" y=\"45.98\" dy=\"0.35em\">4</text>\n",
|
||
" </g>\n",
|
||
" <g shape-rendering=\"crispEdges\" stroke=\"#000000\" stroke-opacity=\"0.000\" id=\"fig-0378e04b897742b597befd2e8e1c169e-element-5\">\n",
|
||
" <rect x=\"129.58\" y=\"65.78\" width=\"1.31\" height=\"0.68\" fill=\"#004D84\"/>\n",
|
||
" <rect x=\"129.58\" y=\"65.1\" width=\"1.31\" height=\"0.68\" fill=\"#005B8D\"/>\n",
|
||
" <rect x=\"129.58\" y=\"64.41\" width=\"1.31\" height=\"0.68\" fill=\"#006995\"/>\n",
|
||
" <rect x=\"129.58\" y=\"63.73\" width=\"1.31\" height=\"0.68\" fill=\"#00769D\"/>\n",
|
||
" <rect x=\"129.58\" y=\"63.05\" width=\"1.31\" height=\"0.68\" fill=\"#0083A3\"/>\n",
|
||
" <rect x=\"129.58\" y=\"62.36\" width=\"1.31\" height=\"0.68\" fill=\"#278FA9\"/>\n",
|
||
" <rect x=\"129.58\" y=\"61.68\" width=\"1.31\" height=\"0.68\" fill=\"#409BAF\"/>\n",
|
||
" <rect x=\"129.58\" y=\"61\" width=\"1.31\" height=\"0.68\" fill=\"#55A7B5\"/>\n",
|
||
" <rect x=\"129.58\" y=\"60.32\" width=\"1.31\" height=\"0.68\" fill=\"#69B2BA\"/>\n",
|
||
" <rect x=\"129.58\" y=\"59.63\" width=\"1.31\" height=\"0.68\" fill=\"#7BBCC0\"/>\n",
|
||
" <rect x=\"129.58\" y=\"58.95\" width=\"1.31\" height=\"0.68\" fill=\"#8DC6C5\"/>\n",
|
||
" <rect x=\"129.58\" y=\"58.27\" width=\"1.31\" height=\"0.68\" fill=\"#9ED0CB\"/>\n",
|
||
" <rect x=\"129.58\" y=\"57.59\" width=\"1.31\" height=\"0.68\" fill=\"#A5CFC7\"/>\n",
|
||
" <rect x=\"129.58\" y=\"56.9\" width=\"1.31\" height=\"0.68\" fill=\"#ABCEC4\"/>\n",
|
||
" <rect x=\"129.58\" y=\"56.22\" width=\"1.31\" height=\"0.68\" fill=\"#B1CCC2\"/>\n",
|
||
" <rect x=\"129.58\" y=\"55.54\" width=\"1.31\" height=\"0.68\" fill=\"#B5CCC1\"/>\n",
|
||
" <rect x=\"129.58\" y=\"54.85\" width=\"1.31\" height=\"0.68\" fill=\"#B7CBBF\"/>\n",
|
||
" <rect x=\"129.58\" y=\"54.17\" width=\"1.31\" height=\"0.68\" fill=\"#B9CBBD\"/>\n",
|
||
" <rect x=\"129.58\" y=\"53.49\" width=\"1.31\" height=\"0.68\" fill=\"#BBCBBB\"/>\n",
|
||
" <rect x=\"129.58\" y=\"52.81\" width=\"1.31\" height=\"0.68\" fill=\"#BDCABA\"/>\n",
|
||
" <rect x=\"129.58\" y=\"52.12\" width=\"1.31\" height=\"0.68\" fill=\"#BFCAB8\"/>\n",
|
||
" <rect x=\"129.58\" y=\"51.44\" width=\"1.31\" height=\"0.68\" fill=\"#C2C9B7\"/>\n",
|
||
" <rect x=\"129.58\" y=\"50.76\" width=\"1.31\" height=\"0.68\" fill=\"#C4C9B6\"/>\n",
|
||
" <rect x=\"129.58\" y=\"50.07\" width=\"1.31\" height=\"0.68\" fill=\"#C6C8B5\"/>\n",
|
||
" <rect x=\"129.58\" y=\"49.39\" width=\"1.31\" height=\"0.68\" fill=\"#C9C7B4\"/>\n",
|
||
" <rect x=\"129.58\" y=\"48.71\" width=\"1.31\" height=\"0.68\" fill=\"#CCC7B2\"/>\n",
|
||
" <rect x=\"129.58\" y=\"48.03\" width=\"1.31\" height=\"0.68\" fill=\"#CFC6AE\"/>\n",
|
||
" <rect x=\"129.58\" y=\"47.34\" width=\"1.31\" height=\"0.68\" fill=\"#D4C5AA\"/>\n",
|
||
" <rect x=\"129.58\" y=\"46.66\" width=\"1.31\" height=\"0.68\" fill=\"#D8C3A6\"/>\n",
|
||
" <rect x=\"129.58\" y=\"45.98\" width=\"1.31\" height=\"0.68\" fill=\"#D3B79A\"/>\n",
|
||
" <rect x=\"129.58\" y=\"45.3\" width=\"1.31\" height=\"0.68\" fill=\"#CDAB8E\"/>\n",
|
||
" <rect x=\"129.58\" y=\"44.61\" width=\"1.31\" height=\"0.68\" fill=\"#C89E82\"/>\n",
|
||
" <rect x=\"129.58\" y=\"43.93\" width=\"1.31\" height=\"0.68\" fill=\"#C19177\"/>\n",
|
||
" <rect x=\"129.58\" y=\"43.25\" width=\"1.31\" height=\"0.68\" fill=\"#BA836C\"/>\n",
|
||
" <rect x=\"129.58\" y=\"42.56\" width=\"1.31\" height=\"0.68\" fill=\"#B27563\"/>\n",
|
||
" <rect x=\"129.58\" y=\"41.88\" width=\"1.31\" height=\"0.68\" fill=\"#AA665A\"/>\n",
|
||
" <rect x=\"129.58\" y=\"41.2\" width=\"1.31\" height=\"0.68\" fill=\"#A05752\"/>\n",
|
||
" <rect x=\"129.58\" y=\"40.52\" width=\"1.31\" height=\"0.68\" fill=\"#96484A\"/>\n",
|
||
" <rect x=\"129.58\" y=\"39.83\" width=\"1.31\" height=\"0.68\" fill=\"#8B3844\"/>\n",
|
||
" <rect x=\"129.58\" y=\"39.15\" width=\"1.31\" height=\"0.68\" fill=\"#7E273E\"/>\n",
|
||
" <g stroke=\"#FFFFFF\" stroke-width=\"0.2\" id=\"fig-0378e04b897742b597befd2e8e1c169e-element-6\">\n",
|
||
" <path fill=\"none\" d=\"M129.58,66.46 L 130.9 66.46\"/>\n",
|
||
" <path fill=\"none\" d=\"M129.58,39.15 L 130.9 39.15\"/>\n",
|
||
" <path fill=\"none\" d=\"M129.58,59.63 L 130.9 59.63\"/>\n",
|
||
" <path fill=\"none\" d=\"M129.58,52.81 L 130.9 52.81\"/>\n",
|
||
" <path fill=\"none\" d=\"M129.58,45.98 L 130.9 45.98\"/>\n",
|
||
" </g>\n",
|
||
" </g>\n",
|
||
" <g fill=\"#362A35\" font-size=\"3.88\" font-family=\"'PT Sans','Helvetica Neue','Helvetica',sans-serif\" stroke=\"#000000\" stroke-opacity=\"0.000\" id=\"fig-0378e04b897742b597befd2e8e1c169e-element-7\">\n",
|
||
" <text x=\"129.58\" y=\"35.15\">Color</text>\n",
|
||
" </g>\n",
|
||
" </g>\n",
|
||
" <g clip-path=\"url(#fig-0378e04b897742b597befd2e8e1c169e-element-9)\" id=\"fig-0378e04b897742b597befd2e8e1c169e-element-8\">\n",
|
||
" <g pointer-events=\"visible\" opacity=\"1\" fill=\"#000000\" fill-opacity=\"0.000\" stroke=\"#000000\" stroke-opacity=\"0.000\" class=\"guide background\" id=\"fig-0378e04b897742b597befd2e8e1c169e-element-10\">\n",
|
||
" <rect x=\"19.63\" y=\"5\" width=\"107.95\" height=\"80.39\"/>\n",
|
||
" </g>\n",
|
||
" <g class=\"guide ygridlines xfixed\" stroke-dasharray=\"0.5,0.5\" stroke-width=\"0.2\" stroke=\"#D0D0E0\" id=\"fig-0378e04b897742b597befd2e8e1c169e-element-11\">\n",
|
||
" <path fill=\"none\" d=\"M19.63,178.87 L 127.58 178.87\" visibility=\"hidden\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,159.78 L 127.58 159.78\" visibility=\"hidden\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,140.68 L 127.58 140.68\" visibility=\"hidden\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,121.58 L 127.58 121.58\" visibility=\"hidden\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,102.49 L 127.58 102.49\" visibility=\"hidden\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,83.39 L 127.58 83.39\" visibility=\"visible\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,64.29 L 127.58 64.29\" visibility=\"visible\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,45.19 L 127.58 45.19\" visibility=\"visible\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,26.1 L 127.58 26.1\" visibility=\"visible\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,7 L 127.58 7\" visibility=\"visible\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-12.1 L 127.58 -12.1\" visibility=\"hidden\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-31.19 L 127.58 -31.19\" visibility=\"hidden\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-50.29 L 127.58 -50.29\" visibility=\"hidden\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-69.39 L 127.58 -69.39\" visibility=\"hidden\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-88.49 L 127.58 -88.49\" visibility=\"hidden\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,159.78 L 127.58 159.78\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,155.96 L 127.58 155.96\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,152.14 L 127.58 152.14\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,148.32 L 127.58 148.32\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,144.5 L 127.58 144.5\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,140.68 L 127.58 140.68\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,136.86 L 127.58 136.86\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,133.04 L 127.58 133.04\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,129.22 L 127.58 129.22\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,125.4 L 127.58 125.4\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,121.58 L 127.58 121.58\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,117.76 L 127.58 117.76\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,113.94 L 127.58 113.94\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,110.12 L 127.58 110.12\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,106.3 L 127.58 106.3\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,102.49 L 127.58 102.49\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,98.67 L 127.58 98.67\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,94.85 L 127.58 94.85\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,91.03 L 127.58 91.03\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,87.21 L 127.58 87.21\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,83.39 L 127.58 83.39\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,79.57 L 127.58 79.57\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,75.75 L 127.58 75.75\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,71.93 L 127.58 71.93\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,68.11 L 127.58 68.11\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,64.29 L 127.58 64.29\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,60.47 L 127.58 60.47\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,56.65 L 127.58 56.65\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,52.83 L 127.58 52.83\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,49.01 L 127.58 49.01\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,45.19 L 127.58 45.19\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,41.37 L 127.58 41.37\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,37.56 L 127.58 37.56\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,33.74 L 127.58 33.74\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,29.92 L 127.58 29.92\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,26.1 L 127.58 26.1\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,22.28 L 127.58 22.28\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,18.46 L 127.58 18.46\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,14.64 L 127.58 14.64\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,10.82 L 127.58 10.82\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,7 L 127.58 7\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,3.18 L 127.58 3.18\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-0.64 L 127.58 -0.64\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-4.46 L 127.58 -4.46\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-8.28 L 127.58 -8.28\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-12.1 L 127.58 -12.1\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-15.92 L 127.58 -15.92\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-19.74 L 127.58 -19.74\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-23.56 L 127.58 -23.56\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-27.37 L 127.58 -27.37\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-31.19 L 127.58 -31.19\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-35.01 L 127.58 -35.01\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-38.83 L 127.58 -38.83\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-42.65 L 127.58 -42.65\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-46.47 L 127.58 -46.47\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-50.29 L 127.58 -50.29\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-54.11 L 127.58 -54.11\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-57.93 L 127.58 -57.93\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-61.75 L 127.58 -61.75\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-65.57 L 127.58 -65.57\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-69.39 L 127.58 -69.39\" visibility=\"hidden\" gadfly:scale=\"10.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,159.78 L 127.58 159.78\" visibility=\"hidden\" gadfly:scale=\"0.5\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,83.39 L 127.58 83.39\" visibility=\"hidden\" gadfly:scale=\"0.5\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,7 L 127.58 7\" visibility=\"hidden\" gadfly:scale=\"0.5\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-69.39 L 127.58 -69.39\" visibility=\"hidden\" gadfly:scale=\"0.5\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,159.78 L 127.58 159.78\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,152.14 L 127.58 152.14\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,144.5 L 127.58 144.5\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,136.86 L 127.58 136.86\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,129.22 L 127.58 129.22\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,121.58 L 127.58 121.58\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,113.94 L 127.58 113.94\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,106.3 L 127.58 106.3\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,98.67 L 127.58 98.67\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,91.03 L 127.58 91.03\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,83.39 L 127.58 83.39\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,75.75 L 127.58 75.75\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,68.11 L 127.58 68.11\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,60.47 L 127.58 60.47\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,52.83 L 127.58 52.83\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,45.19 L 127.58 45.19\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,37.56 L 127.58 37.56\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,29.92 L 127.58 29.92\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,22.28 L 127.58 22.28\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,14.64 L 127.58 14.64\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,7 L 127.58 7\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-0.64 L 127.58 -0.64\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-8.28 L 127.58 -8.28\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-15.92 L 127.58 -15.92\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-23.56 L 127.58 -23.56\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-31.19 L 127.58 -31.19\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-38.83 L 127.58 -38.83\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-46.47 L 127.58 -46.47\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-54.11 L 127.58 -54.11\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-61.75 L 127.58 -61.75\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M19.63,-69.39 L 127.58 -69.39\" visibility=\"hidden\" gadfly:scale=\"5.0\"/>\n",
|
||
" </g>\n",
|
||
" <g class=\"guide xgridlines yfixed\" stroke-dasharray=\"0.5,0.5\" stroke-width=\"0.2\" stroke=\"#D0D0E0\" id=\"fig-0378e04b897742b597befd2e8e1c169e-element-12\">\n",
|
||
" <path fill=\"none\" d=\"M42.36,5 L 42.36 85.39\" visibility=\"visible\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M63.16,5 L 63.16 85.39\" visibility=\"visible\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M83.97,5 L 83.97 85.39\" visibility=\"visible\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M104.78,5 L 104.78 85.39\" visibility=\"visible\" gadfly:scale=\"1.0\"/>\n",
|
||
" <path fill=\"none\" d=\"M125.58,5 L 125.58 85.39\" visibility=\"visible\" gadfly:scale=\"1.0\"/>\n",
|
||
" </g>\n",
|
||
" <g class=\"plotpanel\" id=\"fig-0378e04b897742b597befd2e8e1c169e-element-13\">\n",
|
||
" <g stroke-width=\"0.3\" fill=\"#000000\" fill-opacity=\"0.000\" stroke-dasharray=\"none\" id=\"fig-0378e04b897742b597befd2e8e1c169e-element-14\">\n",
|
||
" <path fill=\"none\" d=\"M21.63,44.35 L 21.71 44.35 21.8 43.97 21.88 43.58 21.96 44.11 22.05 44.51 22.13 44.36 22.21 43.9 22.3 44.9 22.38 44.41 22.46 44.06 22.55 43.83 22.63 44.27 22.71 44.77 22.8 44.85 22.88 44.96 22.96 44.81 23.05 45.52 23.13 45.7 23.21 45.09 23.29 45.27 23.38 45.88 23.46 46.09 23.54 46.47 23.63 45.86 23.71 45.27 23.79 45.01 23.88 44.75 23.96 44.61 24.04 44.64 24.13 44.75 24.21 44.8 24.29 45.12 24.38 44.86 24.46 45.63 24.54 45.85 24.63 46.03 24.71 45.9 24.79 45.22 24.88 45.34 24.96 45.71 25.04 45.72 25.12 45.84 25.21 46.02 25.29 45.46 25.37 45.01 25.46 44.94 25.54 45.14 25.62 45.23 25.71 44.89 25.79 45.17 25.87 45.36 25.96 45.31 26.04 45.25 26.12 44.97 26.21 45.44 26.29 45.37 26.37 45.85 26.46 45.95 26.54 45.81 26.62 46.66 26.7 46.33 26.79 46.39 26.87 46.7 26.95 47 27.04 46.99 27.12 46.75 27.2 47.2 27.29 46.74 27.37 46.01 27.45 46.22 27.54 46.23 27.62 46.67 27.7 46.96 27.79 46.84 27.87 46.54 27.95 46.97 28.04 46.9 28.12 46.23 28.2 46.41 28.28 46.65 28.37 46.71 28.45 47.14 28.53 47.66 28.62 48.11 28.7 47.59 28.78 47.41 28.87 48.41 28.95 48.13 29.03 47.9 29.12 48.09 29.2 48.17 29.28 47.97 29.37 47.57 29.45 47.14 29.53 46.76 29.62 46.61 29.7 46.62 29.78 46.66 29.86 47 29.95 47.17 30.03 47.1 30.11 46.91 30.2 46.79 30.28 46.98 30.36 46.7 30.45 47.17 30.53 47.6 30.61 47.96 30.7 47.9 30.78 48.26 30.86 47.59 30.95 48.18 31.03 48.67 31.11 48.73 31.2 49.11 31.28 48.64 31.36 48.45 31.44 48.62 31.53 47.53 31.61 47.57 31.69 47.75 31.78 47.6 31.86 48.03 31.94 48.25 32.03 47.94 32.11 47.49 32.19 47.26 32.28 47.5 32.36 46.5 32.44 46.98 32.53 47.12 32.61 47.21 32.69 46.48 32.78 46.84 32.86 46.26 32.94 46.13 33.02 46.42 33.11 46.52 33.19 46.21 33.27 46.21 33.36 46.47 33.44 46.19 33.52 46.73 33.61 46.83 33.69 46.24 33.77 46.19 33.86 46.28 33.94 45.67 34.02 45.44 34.11 45.7 34.19 46.32 34.27 46.22 34.36 46.7 34.44 46.73 34.52 46.75 34.61 46.58 34.69 46.27 34.77 46.63 34.85 46.85 34.94 46.93 35.02 46.92 35.1 47 35.19 46.9 35.27 46.81 35.35 46.38 35.44 47.28 35.52 47.49 35.6 47.21 35.69 46.68 35.77 46.22 35.85 45.89 35.94 46.62 36.02 46.71 36.1 46.25 36.19 45.79 36.27 45.61 36.35 45.49 36.43 45.45 36.52 45.22 36.6 45.45 36.68 45.56 36.77 45.35 36.85 45.08 36.93 45.64 37.02 45.59 37.1 45.77 37.18 45.88 37.27 45.71 37.35 44.95 37.43 45.23 37.52 45.42 37.6 45.06 37.68 44.87 37.77 45.13 37.85 44.41 37.93 44.61 38.01 45.13 38.1 45.39 38.18 45.93 38.26 46.27 38.35 46.88 38.43 46.68 38.51 45.82 38.6 46.26 38.68 45.97 38.76 45.97 38.85 45.64 38.93 45.95 39.01 46.29 39.1 45.72 39.18 46.31 39.26 45.95 39.35 45.72 39.43 45.87 39.51 45.51 39.59 45.51 39.68 45.49 39.76 45.57 39.84 45.61 39.93 45.53 40.01 46.08 40.09 46.51 40.18 45.96 40.26 46.28 40.34 46.4 40.43 46.12 40.51 45.8 40.59 45.74 40.68 45.45 40.76 45.93 40.84 46.22 40.93 46.32 41.01 46.46 41.09 45.84 41.17 45.23 41.26 45.09 41.34 45.12 41.42 45.05 41.51 45.48 41.59 45.05 41.67 45.39 41.76 45.67 41.84 45.79 41.92 45.99 42.01 45.7 42.09 45.7 42.17 45.71 42.26 45.71 42.34 45.44 42.42 44.85 42.51 44.85 42.59 44.54 42.67 44.57 42.75 44.59 42.84 45.09 42.92 44.44 43 44.09 43.09 43.77 43.17 44.55 43.25 44.38 43.34 44.45 43.42 45.04 43.5 44.65 43.59 45.08 43.67 45.04 43.75 45.02 43.84 44.73 43.92 45.41 44 45.24 44.09 44.6 44.17 45.05 44.25 44.61 44.34 45.01 44.42 44.65 44.5 44.89 44.58 44.8 44.67 45.17 44.75 45.64 44.83 45.89 44.92 45.89 45 45.68 45.08 45.77 45.17 46.43 45.25 46.38 45.33 46.6 45.42 45.9 45.5 45.53 45.58 45.44 45.67 45.75 45.75 45.72 45.83 45.78 45.92 45.58 46 45.73 46.08 45.69 46.16 45.63 46.25 45.53 46.33 45.83 46.41 45.85 46.5 45.79 46.58 45.49 46.66 45.56 46.75 46 46.83 46.48 46.91 46.49 47 46.63 47.08 46.43 47.16 46.54 47.25 46.97 47.33 47.27 47.41 47.58 47.5 47.65 47.58 47.87 47.66 48.16 47.74 48.78 47.83 48.95 47.91 48.39 47.99 48.37 48.08 48.32 48.16 48.12 48.24 48.85 48.33 49.35 48.41 49.21 48.49 49.42 48.58 48.52 48.66 49.01 48.74 48.52 48.83 48.47 48.91 47.96 48.99 48.08 49.08 48.4 49.16 48.76 49.24 48.42 49.32 48.75 49.41 48.45 49.49 48.66 49.57 48.62 49.66 48.91 49.74 48.76 49.82 48.94 49.91 48.73 49.99 48.62 50.07 49.01 50.16 49 50.24 48.91 50.32 48.95 50.41 49.04 50.49 48.95 50.57 49.49 50.66 49.26 50.74 49.56 50.82 49.17 50.9 49.77 50.99 49.54 51.07 49.74 51.15 49.59 51.24 50.18 51.32 49.54 51.4 49.89 51.49 50.23 51.57 50.59 51.65 50.41 51.74 50.4 51.82 50.51 51.9 50.73 51.99 50.74 52.07 50.04 52.15 49.85 52.24 49.84 52.32 49.95 52.4 50.05 52.48 50.22 52.57 49.87 52.65 49.73 52.73 49.64 52.82 49.88 52.9 50.1 52.98 49.98 53.07 49.75 53.15 49.79 53.23 49.63 53.32 49.92 53.4 50.09 53.48 50.2 53.57 49.98 53.65 50.25 53.73 50.58 53.82 50.69 53.9 50.32 53.98 50.63 54.07 50.94 54.15 50.59 54.23 49.84 54.31 50.17 54.4 49.78 54.48 49.69 54.56 49.39 54.65 49.71 54.73 50.15 54.81 50.1 54.9 49.38 54.98 49.06 55.06 48.86 55.15 48.22 55.23 47.92 55.31 48.48 55.4 48.24 55.48 47.92 55.56 48.48 55.65 49.12 55.73 49 55.81 48.94 55.89 49.34 55.98 49.5 56.06 49.21 56.14 49.49 56.23 49.39 56.31 49.13 56.39 49.77 56.48 49.82 56.56 50.16 56.64 50.32 56.73 50.13 56.81 50.06 56.89 50.43 56.98 50.69 57.06 50.37 57.14 50.35 57.23 50.6 57.31 50.4 57.39 49.85 57.47 50.42 57.56 50.17 57.64 49.95 57.72 49.72 57.81 49.37 57.89 49.4 57.97 49.37 58.06 49.95 58.14 50.15 58.22 50.35 58.31 51.12 58.39 51.29 58.47 51.56 58.56 51.37 58.64 51.11 58.72 50.8 58.81 50.97 58.89 51.2 58.97 50.56 59.05 50.28 59.14 50.07 59.22 49.53 59.3 49.68 59.39 50.13 59.47 50.17 59.55 50.38 59.64 50.03 59.72 49.93 59.8 50.02 59.89 50.15 59.97 49.8 60.05 49.87 60.14 50.34 60.22 50.55 60.3 50.15 60.39 49.7 60.47 50.15 60.55 50.01 60.63 50.09 60.72 50.42 60.8 51.05 60.88 50.65 60.97 50.54 61.05 50.34 61.13 49.99 61.22 50.81 61.3 51.28 61.38 51.43 61.47 51.12 61.55 51.82 61.63 52.12 61.72 52.25 61.8 52.34 61.88 52.54 61.97 52.69 62.05 52.91 62.13 52.61 62.21 52.6 62.3 52.67 62.38 52.36 62.46 52.21 62.55 52.63 62.63 52.54 62.71 52.41 62.8 52.17 62.88 52.73 62.96 53.01 63.05 53.27 63.13 53.62 63.21 53.69 63.3 53.69 63.38 53.32 63.46 53.6 63.55 53.62 63.63 53.23 63.71 53.61 63.8 53.73 63.88 53.44 63.96 54.18 64.04 54.35 64.13 54.46 64.21 54.29 64.29 54.8 64.38 54.88 64.46 55.14 64.54 55.43 64.63 55.47 64.71 55.06 64.79 55.34 64.88 55.48 64.96 55.26 65.04 55.73 65.13 56.1 65.21 55.81 65.29 55.75 65.38 55.87 65.46 56.23 65.54 56.05 65.62 55.99 65.71 56.05 65.79 55.82 65.87 56.1 65.96 55.77 66.04 55.79 66.12 55.55 66.21 54.92 66.29 55.03 66.37 54.91 66.46 54.69 66.54 54.71 66.62 55.09 66.71 54.68 66.79 54.89 66.87 55.12 66.96 54.85 67.04 54.78 67.12 55.03 67.2 55.32 67.29 55.12 67.37 55.3 67.45 55.21 67.54 55.22 67.62 55.36 67.7 55.66 67.79 55.88 67.87 55.92 67.95 55.77 68.04 55.67 68.12 55.65 68.2 55.65 68.29 55.41 68.37 55.42 68.45 55.01 68.54 55.29 68.62 55.31 68.7 55.4 68.78 55.81 68.87 56.29 68.95 56.11 69.03 56.03 69.12 55.6 69.2 55.84 69.28 55.43 69.37 54.98 69.45 54.98 69.53 55.33 69.62 55.69 69.7 55.65 69.78 55.68 69.87 55.45 69.95 55.4 70.03 55.17 70.12 55.66 70.2 55.63 70.28 55.92 70.36 56.08 70.45 55.94 70.53 55.77 70.61 55.74 70.7 55.89 70.78 56.47 70.86 56.51 70.95 56.24 71.03 56.82 71.11 56.66 71.2 56.55 71.28 56.54 71.36 56.58 71.45 56.56 71.53 56.57 71.61 56.9 71.7 57.15 71.78 56.81 71.86 57.03 71.94 56.92 72.03 57.29 72.11 57.37 72.19 57.63 72.28 57.76 72.36 57.79 72.44 57.66 72.53 57.32 72.61 57.06 72.69 57.18 72.78 57.72 72.86 57.78 72.94 57.45 73.03 58.11 73.11 57.56 73.19 57.32 73.28 57.47 73.36 57.34 73.44 57.7 73.53 57.55 73.61 57.79 73.69 57.91 73.77 57.79 73.86 57.71 73.94 58.01 74.02 57.94 74.11 58.06 74.19 58.03 74.27 58.19 74.36 57.99 74.44 58.36 74.52 58.65 74.61 58.83 74.69 59.07 74.77 59.17 74.86 59.1 74.94 59.49 75.02 59.24 75.11 59.13 75.19 59.08 75.27 59.15 75.35 59.1 75.44 59.55 75.52 59.66 75.6 60.06 75.69 60.29 75.77 60.69 75.85 60.69 75.94 60.9 76.02 60.93 76.1 60.91 76.19 61.16 76.27 61.59 76.35 61.78 76.44 61.55 76.52 61.76 76.6 61.53 76.69 61.46 76.77 61.71 76.85 61.26 76.93 60.83 77.02 60.85 77.1 60.86 77.18 61.12 77.27 61.33 77.35 61.46 77.43 61.45 77.52 61.59 77.6 61.87 77.68 61.74 77.77 61.99 77.85 62.02 77.93 62.44 78.02 62.41 78.1 62.4 78.18 62.18 78.27 61.81 78.35 61.83 78.43 61.71 78.51 61.35 78.6 61.5 78.68 61.5 78.76 61.58 78.85 61.59 78.93 61.39 79.01 61.2 79.1 61.43 79.18 61.63 79.26 61.71 79.35 61.71 79.43 61.67 79.51 61.68 79.6 61.59 79.68 61.17 79.76 61.06 79.85 60.75 79.93 60.56 80.01 60.44 80.09 60.57 80.18 60.65 80.26 60.74 80.34 60.61 80.43 60.6 80.51 60.58 80.59 60.6 80.68 60.87 80.76 60.59 80.84 60.41 80.93 60.36 81.01 60.51 81.09 60.45 81.18 60.61 81.26 60.49 81.34 60.25 81.43 60.64 81.51 60.25 81.59 60.29 81.67 60.06 81.76 60.04 81.84 60.24 81.92 60.09 82.01 60.52 82.09 60.57 82.17 60.88 82.26 60.82 82.34 60.95 82.42 60.98 82.51 61.19 82.59 61.22 82.67 61.27 82.76 61.54 82.84 61.5 82.92 62.02 83.01 62.11 83.09 62.01 83.17 62.04 83.26 62.14 83.34 61.94 83.42 62.12 83.5 62.23 83.59 62.14 83.67 62.15 83.75 61.99 83.84 62.04 83.92 61.93 84 61.84 84.09 61.84 84.17 61.59 84.25 61.58 84.34 61.6 84.42 61.53 84.5 61.37 84.59 61.46 84.67 61.15 84.75 61.14 84.84 61.2 84.92 60.87 85 61.12 85.08 61.09 85.17 60.74 85.25 60.58 85.33 60.89 85.42 60.99 85.5 61.05 85.58 60.67 85.67 60.74 85.75 60.51 85.83 60.2 85.92 60.55 86 60.1 86.08 60.14 86.17 60.11 86.25 59.92 86.33 59.88 86.42 59.74 86.5 59.76 86.58 59.79 86.66 59.71 86.75 59.6 86.83 59.64 86.91 59.66 87 59.88 87.08 59.8 87.16 59.63 87.25 59.91 87.33 59.74 87.41 59.96 87.5 60.19 87.58 60.24 87.66 60.39 87.75 60.37 87.83 60.56 87.91 60.48 88 60.85 88.08 60.73 88.16 60.37 88.24 60.2 88.33 60.71 88.41 60.87 88.49 60.99 88.58 60.99 88.66 60.83 88.74 60.61 88.83 60.72 88.91 60.79 88.99 60.71 89.08 60.9 89.16 61 89.24 61.03 89.33 60.95 89.41 60.93 89.49 60.75 89.58 60.8 89.66 60.86 89.74 60.6 89.82 60.35 89.91 60.06 89.99 60.25 90.07 60.84 90.16 60.6 90.24 60.64 90.32 60.33 90.41 60.62 90.49 60.76 90.57 60.62 90.66 60.77 90.74 60.51 90.82 60.6 90.91 60.7 90.99 60.63 91.07 60.45 91.16 60.68 91.24 61.03 91.32 61.17 91.4 61.14 91.49 60.76 91.57 60.75 91.65 61.04 91.74 60.63 91.82 60.6 91.9 60.79 91.99 60.84 92.07 61.06 92.15 60.99 92.24 60.99 92.32 61.02 92.4 61.31 92.49 61.25 92.57 61.39 92.65 61.22 92.74 60.98 92.82 61.17 92.9 61.21 92.99 61.16 93.07 61.19 93.15 61.27 93.23 61.52 93.32 61.23 93.4 61.15 93.48 61.16 93.57 61.55 93.65 61.64 93.73 61.5 93.82 61.28 93.9 61.35 93.98 61.28 94.07 61.15 94.15 61.23 94.23 61.56 94.32 61.28 94.4 61.25 94.48 61.39 94.57 61.22 94.65 61.14 94.73 61.39 94.81 61.5 94.9 61.42 94.98 61.25 95.06 60.95 95.15 61.06 95.23 60.93 95.31 60.92 95.4 61.05 95.48 60.9 95.56 60.57 95.65 60.1 95.73 59.62 95.81 59.72 95.9 59.85 95.98 59.93 96.06 60.07 96.15 60.14 96.23 60.32 96.31 60.4 96.39 60.54 96.48 60.69 96.56 60.76 96.64 61.17 96.73 61.2 96.81 61.41 96.89 61.5 96.98 61.69 97.06 61.51 97.14 61.5 97.23 61.65 97.31 61.74 97.39 61.47 97.48 61.73 97.56 61.64 97.64 61.29 97.73 61.85 97.81 61.98 97.89 62.33 97.97 62.12 98.06 62.21 98.14 61.92 98.22 62.26 98.31 62.04 98.39 61.79 98.47 61.7 98.56 61.42 98.64 61.23 98.72 61.04 98.81 61.24 98.89 61.53 98.97 61.29 99.06 61.11 99.14 61.12 99.22 60.81 99.31 61.14 99.39 61.31 99.47 61.38 99.55 60.9 99.64 61.02 99.72 60.64 99.8 60.71 99.89 60.66 99.97 60.46 100.05 60.79 100.14 60.81 100.22 60.43 100.3 60.53 100.39 60.63 100.47 61.06 100.55 60.98 100.64 60.73 100.72 60.43 100.8 60.67 100.89 60.52 100.97 60.74 101.05 60.59 101.13 60.37 101.22 60.33 101.3 60.02 101.38 59.79 101.47 59.67 101.55 59.6 101.63 59.57 101.72 59.2 101.8 59.35 101.88 59.26 101.97 59.17 102.05 59.1 102.13 59.76 102.22 59.97 102.3 60.2 102.38 59.94 102.47 59.79 102.55 59.81 102.63 59.96 102.72 59.93 102.8 60.24 102.88 59.79 102.96 59.5 103.05 59.82 103.13 59.71 103.21 59.38 103.3 59.55 103.38 59.31 103.46 58.44 103.55 58.32 103.63 57.92 103.71 58.29 103.8 58.49 103.88 58.4 103.96 58.08 104.05 58.17 104.13 58.51 104.21 58.27 104.3 58.54 104.38 58.16 104.46 58.38 104.54 58.51 104.63 58.58 104.71 58.46 104.79 58.09 104.88 58.09 104.96 57.7 105.04 57.43 105.13 57.61 105.21 57.36 105.29 57.55 105.38 57.27 105.46 57.46 105.54 57.67 105.63 57.61 105.71 57.6 105.79 57.05 105.88 57.09 105.96 57.35 106.04 57.34 106.12 57.5 106.21 57.6 106.29 57.29 106.37 57.14 106.46 57.56 106.54 57.32 106.62 57.2 106.71 57 106.79 56.59 106.87 56.81 106.96 56.27 107.04 56.2 107.12 56.64 107.21 56.64 107.29 56.69 107.37 56.77 107.46 56.25 107.54 56.28 107.62 56.13 107.7 56.03 107.79 55.85 107.87 55.51 107.95 55.35 108.04 55.06 108.12 55.27 108.2 55.28 108.29 54.94 108.37 54.48 108.45 54.41 108.54 53.92 108.62 54 108.7 54.41 108.79 54.67 108.87 54.35 108.95 54.36 109.04 54.37 109.12 54.18 109.2 54.49 109.28 54.84 109.37 54.66 109.45 54.99 109.53 55.02 109.62 55.39 109.7 55.41 109.78 56.03 109.87 56.07 109.95 56.03 110.03 56.13 110.12 55.86 110.2 55.26 110.28 55.27 110.37 55.07 110.45 54.62 110.53 54.77 110.62 54.91 110.7 55.02 110.78 55.1 110.86 55.14 110.95 55.64 111.03 55.3 111.11 55.01 111.2 54.88 111.28 55 111.36 55.31 111.45 55.35 111.53 55.47 111.61 55.88 111.7 55.73 111.78 55.77 111.86 55.96 111.95 56.17 112.03 55.96 112.11 56.41 112.2 56.03 112.28 55.81 112.36 55.28 112.45 55.76 112.53 56.06 112.61 56.16 112.69 56.09 112.78 56.29 112.86 56.26 112.94 56.13 113.03 56.08 113.11 56.07 113.19 56.01 113.28 55.97 113.36 56.47 113.44 56.67 113.53 56.78 113.61 56.98 113.69 56.93 113.78 56.94 113.86 57.2 113.94 57 114.03 57.2 114.11 57.77 114.19 58.01 114.27 58.13 114.36 57.78 114.44 57.56 114.52 57.5 114.61 58.07 114.69 57.83 114.77 57.88 114.86 57.42 114.94 57.43 115.02 57.69 115.11 57.4 115.19 57.12 115.27 56.72 115.36 56.33 115.44 56.84 115.52 56.7 115.61 56.24 115.69 56.02 115.77 55.97 115.85 55.91 115.94 55.66 116.02 55.49 116.1 55.56 116.19 55.74 116.27 55.53 116.35 55.62 116.44 55.57 116.52 55.5 116.6 55.46 116.69 55.23 116.77 55.72 116.85 55.54 116.94 55.83 117.02 56.07 117.1 55.99 117.19 55.7 117.27 55.82 117.35 55.8 117.43 55.87 117.52 56.05 117.6 56.35 117.68 56.46 117.77 56.08 117.85 56.27 117.93 56.79 118.02 56.87 118.1 57 118.18 56.77 118.27 56.7 118.35 56.77 118.43 56.4 118.52 56.2 118.6 56.02 118.68 56.1 118.77 56.17 118.85 56.23 118.93 56.16 119.01 56.53 119.1 56.65 119.18 57 119.26 57.27 119.35 57.4 119.43 57.52 119.51 57.72 119.6 57.62 119.68 57.31 119.76 57 119.85 57.33 119.93 57.16 120.01 57.13 120.1 56.81 120.18 56.92 120.26 56.77 120.35 56.48 120.43 56.14 120.51 56.23 120.59 55.89 120.68 55.94 120.76 56.22 120.84 56.42 120.93 56.75 121.01 56.56 121.09 56.66 121.18 56.6 121.26 56.71 121.34 56.54 121.43 56.67 121.51 57.05 121.59 56.91 121.68 56.59 121.76 56.18 121.84 56.04 121.93 56.22 122.01 55.95 122.09 55.8 122.18 55.66 122.26 55.75 122.34 55.87 122.42 55.9 122.51 55.94 122.59 56.12 122.67 55.9 122.76 55.87 122.84 55.87 122.92 55.54 123.01 55.7 123.09 55.98 123.17 55.96 123.26 55.37 123.34 55.75 123.42 55.57 123.51 55.62 123.59 55.76 123.67 55.33 123.76 54.85 123.84 54.95 123.92 55.16 124 55.23 124.09 55.27 124.17 54.93 124.25 54.79 124.34 54.71 124.42 54.56 124.5 54.32 124.59 54.57 124.67 54.27 124.75 53.94 124.84 53.77 124.92 54.14 125 54.45 125.09 54.65 125.17 54.54 125.25 54 125.34 54.46 125.42 53.95 125.5 54.29 125.58 54.27\" class=\"geometry color_\" stroke=\"#004D84\"/>\n",
|
||
" <path fill=\"none\" d=\"M21.63,44.35 L 21.71 44.35 21.8 44.74 21.88 45.14 21.96 45.24 22.05 45.18 22.13 45.09 22.21 45.31 22.3 45.29 22.38 45.45 22.46 45.57 22.55 45.4 22.63 45.56 22.71 45.7 22.8 45.07 22.88 45.15 22.96 45.06 23.05 44.89 23.13 44.84 23.21 44.6 23.29 43.86 23.38 43.07 23.46 43.2 23.54 43.5 23.63 43.42 23.71 44.02 23.79 43.97 23.88 44.62 23.96 43.89 24.04 43.92 24.13 44.59 24.21 44.17 24.29 43.44 24.38 43.63 24.46 43.78 24.54 43.49 24.63 43.6 24.71 43.76 24.79 43.74 24.88 44.13 24.96 44.19 25.04 44.45 25.12 44.49 25.21 44.45 25.29 44.08 25.37 44.61 25.46 44.05 25.54 43.42 25.62 43.22 25.71 43.61 25.79 43.03 25.87 42.75 25.96 42.35 26.04 42.88 26.12 43.25 26.21 43.25 26.29 43.77 26.37 43.71 26.46 43.6 26.54 43.91 26.62 44.39 26.7 44.51 26.79 44.27 26.87 44.41 26.95 44.8 27.04 44.86 27.12 44.75 27.2 44.27 27.29 44.2 27.37 44.31 27.45 44.4 27.54 44.62 27.62 44.4 27.7 44.86 27.79 44.88 27.87 45.08 27.95 45.08 28.04 44.59 28.12 44.93 28.2 45.15 28.28 45.06 28.37 44.52 28.45 44.23 28.53 43.64 28.62 44.31 28.7 44.34 28.78 44.23 28.87 44.38 28.95 43.88 29.03 43.87 29.12 43.53 29.2 43.46 29.28 43.51 29.37 42.7 29.45 43.12 29.53 43.13 29.62 42.93 29.7 43.07 29.78 42.84 29.86 43.1 29.95 42.46 30.03 42.56 30.11 44.06 30.2 43.74 30.28 43.1 30.36 43.03 30.45 43.71 30.53 44.1 30.61 43.78 30.7 43.42 30.78 43.56 30.86 43.74 30.95 43.66 31.03 43.83 31.11 44.76 31.2 45.03 31.28 45.06 31.36 45.03 31.44 45.53 31.53 46.22 31.61 46.72 31.69 46.7 31.78 46.95 31.86 46.89 31.94 46.96 32.03 47.78 32.11 47.52 32.19 47.81 32.28 48.77 32.36 49.04 32.44 49.48 32.53 48.95 32.61 49.13 32.69 49.15 32.78 49.28 32.86 48.56 32.94 48.3 33.02 48.35 33.11 48.41 33.19 48.14 33.27 48.04 33.36 48.31 33.44 48.4 33.52 48.55 33.61 48.49 33.69 49.32 33.77 49.33 33.86 49.01 33.94 49.42 34.02 50.03 34.11 50.43 34.19 51.11 34.27 51.2 34.36 51.23 34.44 51.28 34.52 51.24 34.61 50.93 34.69 50.93 34.77 50.84 34.85 50.33 34.94 49.71 35.02 49.75 35.1 48.82 35.19 48.67 35.27 48.22 35.35 48.13 35.44 48.05 35.52 48.1 35.6 47.92 35.69 48 35.77 48.4 35.85 48.39 35.94 48.48 36.02 48.58 36.1 48.8 36.19 48.6 36.27 49.54 36.35 49.73 36.43 49.4 36.52 49.39 36.6 49.74 36.68 49.69 36.77 49.46 36.85 49.73 36.93 49.53 37.02 50.27 37.1 50.09 37.18 50.45 37.27 50.05 37.35 50.63 37.43 50.97 37.52 50.89 37.6 50.42 37.68 49.71 37.77 50.37 37.85 50.23 37.93 49.71 38.01 49.88 38.1 50.1 38.18 49.88 38.26 50.3 38.35 50.03 38.43 49.98 38.51 49.56 38.6 49.24 38.68 49.2 38.76 49.54 38.85 49.69 38.93 49.32 39.01 48.83 39.1 48.57 39.18 48.69 39.26 48.58 39.35 48.58 39.43 48.74 39.51 48.57 39.59 48.94 39.68 49.11 39.76 49.59 39.84 49.84 39.93 49.62 40.01 50.19 40.09 50 40.18 49.79 40.26 50.15 40.34 50.38 40.43 50.2 40.51 50.19 40.59 50.44 40.68 50.76 40.76 50.74 40.84 50.68 40.93 51.22 41.01 50.92 41.09 50.85 41.17 51.06 41.26 50.84 41.34 51.05 41.42 51.6 41.51 51.73 41.59 52.09 41.67 52.48 41.76 51.83 41.84 52.3 41.92 52.12 42.01 52.26 42.09 52.55 42.17 52.65 42.26 52.49 42.34 52.36 42.42 52.47 42.51 52.47 42.59 51.99 42.67 52.25 42.75 52.2 42.84 51.74 42.92 51.4 43 51.19 43.09 51.35 43.17 51.4 43.25 51.24 43.34 50.99 43.42 51.3 43.5 51.34 43.59 51.58 43.67 51.71 43.75 51.7 43.84 52.02 43.92 52.23 44 51.95 44.09 52.16 44.17 52.09 44.25 51.82 44.34 52.01 44.42 52.29 44.5 52.68 44.58 52.53 44.67 52.5 44.75 52.9 44.83 52.83 44.92 52.74 45 53.01 45.08 53 45.17 52.94 45.25 52.9 45.33 53.14 45.42 53.22 45.5 53.46 45.58 53.13 45.67 53.67 45.75 53.85 45.83 53.91 45.92 54.31 46 54.61 46.08 54.34 46.16 54.17 46.25 53.76 46.33 53.75 46.41 53.61 46.5 53.75 46.58 53.34 46.66 53.68 46.75 53.83 46.83 54.2 46.91 54.54 47 54.62 47.08 54.59 47.16 54.77 47.25 54.62 47.33 54.13 47.41 53.95 47.5 53.9 47.58 53.83 47.66 53.64 47.74 53.84 47.83 53.57 47.91 53.85 47.99 54.17 48.08 54.07 48.16 54.55 48.24 54.36 48.33 53.92 48.41 53.72 48.49 53.8 48.58 54.28 48.66 53.67 48.74 53.8 48.83 53.77 48.91 54.05 48.99 54.09 49.08 54.08 49.16 54.36 49.24 54.58 49.32 54.74 49.41 54.72 49.49 54.45 49.57 54.36 49.66 54.36 49.74 54.61 49.82 54.37 49.91 54.21 49.99 54.12 50.07 54.26 50.16 54.36 50.24 54.28 50.32 54.21 50.41 54.77 50.49 55.17 50.57 54.9 50.66 55.22 50.74 54.64 50.82 54.81 50.9 55.06 50.99 55.46 51.07 55.28 51.15 55.19 51.24 55.34 51.32 55.22 51.4 54.68 51.49 54.23 51.57 54.1 51.65 54.26 51.74 54.27 51.82 54.13 51.9 54.15 51.99 53.95 52.07 54.39 52.15 54.14 52.24 54.32 52.32 54.32 52.4 54.38 52.48 53.85 52.57 53.86 52.65 54.17 52.73 54.52 52.82 54.42 52.9 54.45 52.98 54.66 53.07 54.49 53.15 54.64 53.23 54.95 53.32 55.09 53.4 55.16 53.48 55.28 53.57 55.43 53.65 54.87 53.73 54.74 53.82 54.75 53.9 54.76 53.98 54.88 54.07 54.75 54.15 54.17 54.23 54.07 54.31 54.7 54.4 54.57 54.48 54.33 54.56 55.14 54.65 55.61 54.73 56.13 54.81 55.8 54.9 55.61 54.98 55.7 55.06 55.48 55.15 55.58 55.23 55.9 55.31 55.84 55.4 55.37 55.48 55.2 55.56 55.57 55.65 55.77 55.73 55.7 55.81 55.69 55.89 55.65 55.98 55.64 56.06 55.79 56.14 55.64 56.23 55.22 56.31 55.2 56.39 55.35 56.48 55.3 56.56 55.1 56.64 55.37 56.73 55.28 56.81 55.83 56.89 55.86 56.98 55.61 57.06 55.88 57.14 55.92 57.23 55.85 57.31 55.94 57.39 56.25 57.47 56.26 57.56 56.36 57.64 56.21 57.72 56.07 57.81 56.47 57.89 56.26 57.97 56.01 58.06 55.82 58.14 55.47 58.22 54.89 58.31 55.22 58.39 55.18 58.47 55.01 58.56 54.97 58.64 55.01 58.72 55 58.81 55 58.89 54.48 58.97 54.6 59.05 54.28 59.14 53.95 59.22 53.88 59.3 53.94 59.39 54.17 59.47 53.76 59.55 53.2 59.64 53.37 59.72 53.48 59.8 53.51 59.89 53.67 59.97 53.87 60.05 53.62 60.14 53.41 60.22 53.37 60.3 53.4 60.39 53.59 60.47 53.43 60.55 53.35 60.63 53.71 60.72 53.6 60.8 53.73 60.88 53.96 60.97 54.11 61.05 54.66 61.13 54.38 61.22 53.87 61.3 54.23 61.38 54.23 61.47 54.09 61.55 53.58 61.63 52.99 61.72 52.86 61.8 52.72 61.88 52.73 61.97 52.99 62.05 52.9 62.13 52.68 62.21 52.86 62.3 53.21 62.38 53.48 62.46 52.84 62.55 53.13 62.63 53.17 62.71 53.5 62.8 53.36 62.88 53.46 62.96 53.26 63.05 52.92 63.13 52.65 63.21 52.45 63.3 52.45 63.38 52.77 63.46 53.09 63.55 53.33 63.63 53.4 63.71 52.72 63.8 52.94 63.88 52.88 63.96 53.16 64.04 53.08 64.13 53.27 64.21 52.74 64.29 52.45 64.38 52.02 64.46 51.71 64.54 51.78 64.63 51.46 64.71 51.64 64.79 51.36 64.88 51.34 64.96 51.03 65.04 50.79 65.13 50.75 65.21 50.72 65.29 50.93 65.38 50.81 65.46 51.19 65.54 50.86 65.62 50.53 65.71 50.71 65.79 50.52 65.87 50.62 65.96 50.15 66.04 49.93 66.12 50.49 66.21 50.86 66.29 50.25 66.37 50.51 66.46 50.28 66.54 50.74 66.62 50.58 66.71 50.41 66.79 50.39 66.87 50.66 66.96 50.68 67.04 50.4 67.12 50.75 67.2 50.24 67.29 50.52 67.37 50.63 67.45 50.65 67.54 51.07 67.62 51.1 67.7 51.18 67.79 51.19 67.87 50.93 67.95 51.14 68.04 51.4 68.12 51.18 68.2 50.72 68.29 50.35 68.37 49.82 68.45 49.79 68.54 50 68.62 50.07 68.7 50.31 68.78 50.66 68.87 51.08 68.95 51.17 69.03 51.56 69.12 51.53 69.2 51.77 69.28 51.88 69.37 52.17 69.45 52.4 69.53 52.07 69.62 52.53 69.7 52.54 69.78 51.94 69.87 51.99 69.95 51.95 70.03 52.06 70.12 52.34 70.2 52.67 70.28 52.91 70.36 52.86 70.45 53.3 70.53 53.65 70.61 53.54 70.7 53.74 70.78 53.41 70.86 53.18 70.95 53.18 71.03 52.96 71.11 52.7 71.2 52.6 71.28 52.56 71.36 52.69 71.45 52.79 71.53 52.71 71.61 52.78 71.7 52.81 71.78 52.59 71.86 52.61 71.94 52.26 72.03 52.16 72.11 52.29 72.19 52.26 72.28 51.56 72.36 52.43 72.44 52.62 72.53 52.03 72.61 51.82 72.69 51.99 72.78 52.34 72.86 52.01 72.94 51.78 73.03 51.67 73.11 51.54 73.19 51.52 73.28 51.58 73.36 51.72 73.44 51.76 73.53 51.78 73.61 52.05 73.69 52.47 73.77 52.41 73.86 52.77 73.94 52.35 74.02 52.23 74.11 52.26 74.19 52.49 74.27 52.58 74.36 52.51 74.44 52.6 74.52 52.9 74.61 53.25 74.69 52.96 74.77 53.3 74.86 53.38 74.94 53.53 75.02 53.55 75.11 53.42 75.19 53.38 75.27 53.26 75.35 53.41 75.44 53.76 75.52 53.96 75.6 53.92 75.69 53.65 75.77 53.73 75.85 53.61 75.94 54.28 76.02 54.59 76.1 54.77 76.19 54.54 76.27 54.56 76.35 54.94 76.44 55.15 76.52 55.53 76.6 55.45 76.69 55.48 76.77 55.29 76.85 55.23 76.93 55.37 77.02 55.21 77.1 55.13 77.18 55.35 77.27 55.13 77.35 54.82 77.43 54.99 77.52 54.93 77.6 54.82 77.68 54.84 77.77 54.83 77.85 54.59 77.93 54.49 78.02 54.49 78.1 54.95 78.18 54.93 78.27 55.07 78.35 54.53 78.43 55.06 78.51 55.34 78.6 55.44 78.68 55.29 78.76 55.23 78.85 55.15 78.93 54.98 79.01 54.86 79.1 55.09 79.18 55.4 79.26 55.17 79.35 55.37 79.43 55.67 79.51 56 79.6 56.62 79.68 56.58 79.76 56.69 79.85 56.43 79.93 56.45 80.01 56.45 80.09 56.43 80.18 56.64 80.26 56.83 80.34 56.56 80.43 56.75 80.51 56.55 80.59 56.39 80.68 56.17 80.76 56.37 80.84 56.33 80.93 56.53 81.01 56.66 81.09 56.79 81.18 56.64 81.26 56.28 81.34 56.66 81.43 56.87 81.51 56.76 81.59 56.72 81.67 56.8 81.76 56.86 81.84 57.25 81.92 57.23 82.01 57.13 82.09 57.45 82.17 57.87 82.26 58.31 82.34 58.16 82.42 58.27 82.51 58.13 82.59 58.12 82.67 58.39 82.76 58.72 82.84 58.99 82.92 59.09 83.01 58.98 83.09 58.63 83.17 58.78 83.26 58.77 83.34 58.53 83.42 58.63 83.5 58.85 83.59 59.23 83.67 59.07 83.75 59.01 83.84 59.24 83.92 59.16 84 59.03 84.09 59.03 84.17 59.01 84.25 59.08 84.34 58.79 84.42 58.71 84.5 59.02 84.59 59.03 84.67 59.09 84.75 59.66 84.84 59.58 84.92 59.78 85 59.54 85.08 59.56 85.17 59.41 85.25 59.88 85.33 59.78 85.42 60.08 85.5 60.14 85.58 60.59 85.67 60.9 85.75 60.98 85.83 60.94 85.92 61.49 86 61.2 86.08 61.37 86.17 61.5 86.25 61.79 86.33 61.83 86.42 61.61 86.5 61.68 86.58 61.87 86.66 61.85 86.75 61.99 86.83 62.09 86.91 62.06 87 61.88 87.08 61.55 87.16 61.64 87.25 61.49 87.33 61.42 87.41 61.9 87.5 61.53 87.58 61.58 87.66 61.56 87.75 61.39 87.83 61.2 87.91 61.27 88 61.13 88.08 60.91 88.16 60.59 88.24 60.64 88.33 60.43 88.41 60.55 88.49 60.83 88.58 60.78 88.66 60.47 88.74 60.74 88.83 60.97 88.91 61.23 88.99 61.22 89.08 61.15 89.16 61.06 89.24 61.39 89.33 61.57 89.41 61.54 89.49 61.42 89.58 61.45 89.66 61.4 89.74 61.41 89.82 61.85 89.91 62.35 89.99 62.47 90.07 62.31 90.16 62.16 90.24 61.99 90.32 61.98 90.41 62.11 90.49 62.25 90.57 61.8 90.66 61.75 90.74 61.95 90.82 62.31 90.91 62.41 90.99 62.62 91.07 62.56 91.16 62.68 91.24 62.67 91.32 62.58 91.4 62.75 91.49 62.86 91.57 62.71 91.65 62.61 91.74 62.5 91.82 62.33 91.9 62.35 91.99 62.03 92.07 61.94 92.15 62.04 92.24 62.15 92.32 62.21 92.4 62.48 92.49 62.54 92.57 62.67 92.65 62.69 92.74 62.44 92.82 62.56 92.9 63.03 92.99 62.62 93.07 62.54 93.15 62.79 93.23 63.24 93.32 62.92 93.4 62.68 93.48 62.62 93.57 62.63 93.65 62.44 93.73 62.48 93.82 62.82 93.9 62.85 93.98 62.47 94.07 62.66 94.15 62.16 94.23 61.74 94.32 61.93 94.4 61.77 94.48 61.62 94.57 61.71 94.65 61.8 94.73 61.89 94.81 61.77 94.9 61.8 94.98 61.5 95.06 61.33 95.15 61.31 95.23 60.77 95.31 61.21 95.4 61.03 95.48 60.95 95.56 60.9 95.65 60.64 95.73 60.34 95.81 60.35 95.9 60.43 95.98 60.24 96.06 60.12 96.15 59.71 96.23 59.94 96.31 60.31 96.39 60.33 96.48 60.46 96.56 60.86 96.64 60.63 96.73 60.74 96.81 60.47 96.89 60.61 96.98 60.6 97.06 60.83 97.14 60.88 97.23 60.67 97.31 60.72 97.39 60.55 97.48 60.74 97.56 60.58 97.64 60 97.73 60.24 97.81 60.1 97.89 60.07 97.97 59.84 98.06 59.62 98.14 59.76 98.22 59.82 98.31 60.51 98.39 60.04 98.47 60.19 98.56 60.03 98.64 60.13 98.72 60.05 98.81 60.13 98.89 60.53 98.97 60.25 99.06 60.12 99.14 60.26 99.22 60.62 99.31 60.71 99.39 60.85 99.47 60.57 99.55 60.83 99.64 60.85 99.72 61.36 99.8 61.56 99.89 61.79 99.97 61.96 100.05 61.91 100.14 61.99 100.22 61.84 100.3 62.19 100.39 62.19 100.47 62.26 100.55 62.58 100.64 62.68 100.72 62.76 100.8 62.88 100.89 62.77 100.97 62.5 101.05 62.36 101.13 62.02 101.22 62.3 101.3 62.48 101.38 62.43 101.47 62.3 101.55 62.36 101.63 62.25 101.72 62.47 101.8 62.18 101.88 62.33 101.97 62.71 102.05 62.89 102.13 62.82 102.22 62.61 102.3 62.45 102.38 62.39 102.47 62.91 102.55 62.56 102.63 62.27 102.72 62.26 102.8 62.04 102.88 62.13 102.96 62.04 103.05 62.05 103.13 62.09 103.21 62.06 103.3 61.98 103.38 62.37 103.46 62.58 103.55 62.48 103.63 62.33 103.71 62.46 103.8 62.74 103.88 62.47 103.96 62.29 104.05 62.22 104.13 62.12 104.21 62.27 104.3 62.35 104.38 62.3 104.46 62.55 104.54 62.62 104.63 62.74 104.71 62.56 104.79 62.26 104.88 62.26 104.96 61.79 105.04 61.68 105.13 62.06 105.21 61.99 105.29 61.92 105.38 61.8 105.46 61.56 105.54 61.27 105.63 61.28 105.71 61.58 105.79 61.88 105.88 62.05 105.96 62.05 106.04 62.12 106.12 62.3 106.21 62.05 106.29 61.92 106.37 61.96 106.46 62.15 106.54 62.38 106.62 62.67 106.71 62.81 106.79 62.58 106.87 62.67 106.96 62.76 107.04 62.76 107.12 62.45 107.21 62.89 107.29 62.78 107.37 62.67 107.46 62.6 107.54 62.55 107.62 62.29 107.7 62.39 107.79 62.41 107.87 62.64 107.95 62.54 108.04 62.53 108.12 62.65 108.2 62.59 108.29 62.25 108.37 62.19 108.45 62.12 108.54 61.86 108.62 62.03 108.7 62.2 108.79 62.26 108.87 62.08 108.95 62.13 109.04 62.21 109.12 62.33 109.2 62.36 109.28 62.14 109.37 62.53 109.45 62.71 109.53 62.81 109.62 62.71 109.7 62.84 109.78 62.96 109.87 63.08 109.95 63.01 110.03 62.97 110.12 62.98 110.2 63.14 110.28 63.5 110.37 63.41 110.45 63.46 110.53 63.18 110.62 62.84 110.7 62.74 110.78 62.69 110.86 62.98 110.95 62.74 111.03 62.87 111.11 62.72 111.2 62.5 111.28 62.46 111.36 62.71 111.45 62.47 111.53 62.53 111.61 62.91 111.7 63.16 111.78 63 111.86 63.01 111.95 63.21 112.03 62.76 112.11 62.62 112.2 62.5 112.28 62.48 112.36 62.38 112.45 62.26 112.53 62.6 112.61 62.77 112.69 62.8 112.78 62.81 112.86 62.79 112.94 62.61 113.03 62.45 113.11 62.69 113.19 62.78 113.28 62.98 113.36 63.51 113.44 63.37 113.53 63.53 113.61 63.86 113.69 63.84 113.78 63.7 113.86 63.65 113.94 63.59 114.03 63.53 114.11 63.52 114.19 63.57 114.27 63.8 114.36 63.88 114.44 63.86 114.52 64.02 114.61 64.1 114.69 63.86 114.77 64.22 114.86 64 114.94 63.89 115.02 64.07 115.11 64.15 115.19 64.17 115.27 64.53 115.36 64.49 115.44 64.51 115.52 64.34 115.61 64.48 115.69 64.57 115.77 64.59 115.85 64.63 115.94 64.73 116.02 64.45 116.1 64.7 116.19 64.64 116.27 64.63 116.35 64.82 116.44 64.88 116.52 64.78 116.6 64.77 116.69 64.74 116.77 64.88 116.85 64.93 116.94 64.79 117.02 65 117.1 65.33 117.19 65.12 117.27 65.07 117.35 65.01 117.43 64.83 117.52 64.41 117.6 64.2 117.68 64.18 117.77 64.36 117.85 64.55 117.93 64.52 118.02 64.46 118.1 64.25 118.18 64.2 118.27 64.33 118.35 64.23 118.43 64.22 118.52 63.98 118.6 63.98 118.68 63.94 118.77 64.08 118.85 64.13 118.93 63.86 119.01 63.95 119.1 63.82 119.18 63.91 119.26 63.9 119.35 64.17 119.43 64.19 119.51 64.36 119.6 64.4 119.68 64.11 119.76 63.96 119.85 63.74 119.93 63.71 120.01 63.84 120.1 63.88 120.18 63.45 120.26 63.46 120.35 63.21 120.43 62.97 120.51 62.98 120.59 63.17 120.68 62.99 120.76 62.8 120.84 63.03 120.93 62.7 121.01 62.46 121.09 62.56 121.18 62.88 121.26 62.84 121.34 62.67 121.43 62.6 121.51 62.52 121.59 62.71 121.68 62.71 121.76 62.58 121.84 62.45 121.93 62.44 122.01 62.01 122.09 61.58 122.18 61.67 122.26 61.72 122.34 61.6 122.42 61.57 122.51 61.33 122.59 61.44 122.67 61.61 122.76 61.53 122.84 61.29 122.92 61.42 123.01 61.65 123.09 61.61 123.17 61.58 123.26 61.64 123.34 61.78 123.42 61.56 123.51 61.46 123.59 61.81 123.67 61.64 123.76 61.17 123.84 60.91 123.92 61.22 124 61.24 124.09 61.14 124.17 60.9 124.25 61 124.34 60.75 124.42 60.67 124.5 60.48 124.59 60.99 124.67 60.79 124.75 60.43 124.84 60.46 124.92 60.15 125 59.84 125.09 59.6 125.17 59.65 125.25 60.01 125.34 60.25 125.42 59.96 125.5 59.92 125.58 59.77\" class=\"geometry color_\" stroke=\"#7E273E\"/>\n",
|
||
" <path fill=\"none\" d=\"M21.63,44.35 L 21.71 44.35 21.8 44.07 21.88 43.57 21.96 43.38 22.05 43.86 22.13 43.72 22.21 43.82 22.3 43.43 22.38 43.42 22.46 43.84 22.55 43.94 22.63 44.38 22.71 44.29 22.8 44.8 22.88 45.21 22.96 44.91 23.05 45.03 23.13 44.67 23.21 44.74 23.29 44.82 23.38 44.39 23.46 44.44 23.54 43.95 23.63 43.34 23.71 43.36 23.79 43.62 23.88 43.16 23.96 43.73 24.04 43.89 24.13 43.97 24.21 44.09 24.29 44.15 24.38 44.4 24.46 44.46 24.54 44.57 24.63 44.84 24.71 44.89 24.79 44.86 24.88 45.38 24.96 45.69 25.04 45.34 25.12 45.33 25.21 44.81 25.29 44.77 25.37 45.07 25.46 45.2 25.54 45.35 25.62 45.11 25.71 44.82 25.79 44.61 25.87 44.81 25.96 44.77 26.04 44.03 26.12 44.49 26.21 44.89 26.29 44.95 26.37 44.94 26.46 44.71 26.54 44.42 26.62 44.62 26.7 43.89 26.79 43.72 26.87 43.75 26.95 43.89 27.04 43.79 27.12 43.87 27.2 43.97 27.29 44.53 27.37 44.58 27.45 44.46 27.54 44.55 27.62 44.78 27.7 45.39 27.79 45.79 27.87 46.12 27.95 45.77 28.04 46.29 28.12 46.32 28.2 45.9 28.28 45.44 28.37 45.71 28.45 46.22 28.53 45.97 28.62 45.45 28.7 45.76 28.78 45.41 28.87 45.42 28.95 45.64 29.03 46.13 29.12 46.43 29.2 46.69 29.28 46.37 29.37 46.17 29.45 46.34 29.53 46.53 29.62 46.63 29.7 46.44 29.78 46.13 29.86 45.88 29.95 46.06 30.03 46.34 30.11 46.56 30.2 45.87 30.28 46.19 30.36 46.63 30.45 46.87 30.53 46.82 30.61 46.68 30.7 47.2 30.78 47.45 30.86 47.55 30.95 47.58 31.03 46.98 31.11 47.24 31.2 47.03 31.28 47.32 31.36 47.26 31.44 47.89 31.53 48.34 31.61 47.96 31.69 47.25 31.78 47.61 31.86 48.05 31.94 47.72 32.03 48.22 32.11 48.13 32.19 47.9 32.28 47.56 32.36 47.95 32.44 48.77 32.53 48.23 32.61 48.27 32.69 48.32 32.78 48.78 32.86 48.4 32.94 48.58 33.02 48.33 33.11 48.69 33.19 48.85 33.27 48.91 33.36 48.83 33.44 48.92 33.52 48.84 33.61 48.88 33.69 49.06 33.77 48.94 33.86 48.96 33.94 48.96 34.02 49.18 34.11 49.05 34.19 48.73 34.27 48.46 34.36 47.96 34.44 47.47 34.52 47.26 34.61 46.93 34.69 46.17 34.77 46.89 34.85 46.89 34.94 46.7 35.02 46.51 35.1 46.71 35.19 46.9 35.27 47.17 35.35 47.07 35.44 47.12 35.52 46.84 35.6 46.83 35.69 46.5 35.77 46.94 35.85 46.47 35.94 46.19 36.02 45.94 36.1 46.03 36.19 46.28 36.27 46.59 36.35 46.66 36.43 47.17 36.52 47.22 36.6 47.16 36.68 47.19 36.77 46.99 36.85 47.58 36.93 47.97 37.02 47.98 37.1 47.88 37.18 47.73 37.27 47.97 37.35 47.88 37.43 47.62 37.52 47.61 37.6 47.39 37.68 47.79 37.77 48.01 37.85 48.27 37.93 48.3 38.01 48.87 38.1 49 38.18 49.44 38.26 49.22 38.35 48.9 38.43 49.88 38.51 50.4 38.6 49.99 38.68 50.6 38.76 50.97 38.85 50.75 38.93 50.59 39.01 50.97 39.1 50.87 39.18 51.18 39.26 50.98 39.35 51.14 39.43 51.9 39.51 51.65 39.59 52.18 39.68 52.03 39.76 52.56 39.84 52.41 39.93 52.56 40.01 53.09 40.09 52.87 40.18 52.95 40.26 53.1 40.34 53.35 40.43 53.35 40.51 53.43 40.59 53.15 40.68 53.04 40.76 52.59 40.84 52.66 40.93 52.63 41.01 52.72 41.09 52.74 41.17 52.91 41.26 53.16 41.34 52.83 41.42 52.54 41.51 52.92 41.59 52.68 41.67 52.55 41.76 52.63 41.84 52.96 41.92 52.9 42.01 52.97 42.09 52.99 42.17 53.16 42.26 52.89 42.34 53.05 42.42 53.35 42.51 53.35 42.59 53.78 42.67 53.45 42.75 53.41 42.84 53.15 42.92 52.75 43 52.83 43.09 52.51 43.17 52.49 43.25 52.42 43.34 52.14 43.42 52.47 43.5 52.51 43.59 52.93 43.67 52.49 43.75 52 43.84 51.48 43.92 51.39 44 51.57 44.09 51.67 44.17 52.44 44.25 52.56 44.34 52.38 44.42 52.53 44.5 52.52 44.58 52.76 44.67 52.79 44.75 53.25 44.83 53.59 44.92 53.83 45 53.92 45.08 53.71 45.17 53.59 45.25 53.59 45.33 53.53 45.42 53.31 45.5 53.4 45.58 53.31 45.67 53.91 45.75 53.79 45.83 53.64 45.92 54.26 46 54.31 46.08 53.79 46.16 54.4 46.25 54.49 46.33 55.03 46.41 54.72 46.5 54.93 46.58 55 46.66 55.31 46.75 55.35 46.83 55.64 46.91 56.12 47 56.74 47.08 57.13 47.16 56.77 47.25 56.52 47.33 56.42 47.41 56.53 47.5 56.17 47.58 56.16 47.66 55.69 47.74 55.54 47.83 55.39 47.91 55.46 47.99 55.34 48.08 55.16 48.16 55.26 48.24 55.11 48.33 54.88 48.41 55.21 48.49 54.96 48.58 55.2 48.66 55.24 48.74 54.83 48.83 55.04 48.91 55.32 48.99 55.17 49.08 55.03 49.16 54.77 49.24 54.65 49.32 54.49 49.41 54.11 49.49 54.25 49.57 54.08 49.66 54.23 49.74 53.81 49.82 53.63 49.91 53.88 49.99 53.66 50.07 53.87 50.16 54.56 50.24 54.72 50.32 55.08 50.41 54.91 50.49 54.7 50.57 54.72 50.66 54.79 50.74 54.85 50.82 54.93 50.9 55.24 50.99 55.22 51.07 55.08 51.15 54.76 51.24 54.75 51.32 54.73 51.4 54.68 51.49 54.69 51.57 54.66 51.65 54.69 51.74 54.6 51.82 55.08 51.9 55.49 51.99 55.75 52.07 55.67 52.15 55.49 52.24 55.24 52.32 55.67 52.4 55.68 52.48 55.57 52.57 55.98 52.65 56.32 52.73 56.32 52.82 55.89 52.9 55.98 52.98 56.26 53.07 55.92 53.15 56.14 53.23 56.04 53.32 56.16 53.4 56.14 53.48 56.11 53.57 56.37 53.65 56.13 53.73 55.81 53.82 56.01 53.9 55.88 53.98 56.14 54.07 56.16 54.15 56.27 54.23 55.92 54.31 56.15 54.4 56.04 54.48 55.66 54.56 55.52 54.65 55.33 54.73 55.45 54.81 55.42 54.9 55.44 54.98 55.41 55.06 55.18 55.15 55.23 55.23 55.17 55.31 54.89 55.4 55.04 55.48 55.02 55.56 54.92 55.65 54.98 55.73 54.88 55.81 54.48 55.89 54.31 55.98 53.81 56.06 53.93 56.14 54.26 56.23 54.15 56.31 54.34 56.39 54.84 56.48 54.43 56.56 54.57 56.64 54.38 56.73 54.45 56.81 54.34 56.89 54.53 56.98 54.64 57.06 54.97 57.14 54.8 57.23 54.7 57.31 55.21 57.39 55.41 57.47 55.35 57.56 55.01 57.64 55.02 57.72 54.96 57.81 55.92 57.89 56.53 57.97 56.93 58.06 56.85 58.14 56.89 58.22 57.02 58.31 56.75 58.39 56.96 58.47 57.07 58.56 57.17 58.64 56.9 58.72 56.85 58.81 56.68 58.89 56.81 58.97 56.99 59.05 57.04 59.14 56.83 59.22 56.7 59.3 56.02 59.39 56.12 59.47 56.3 59.55 56.1 59.64 56.32 59.72 56.31 59.8 56.57 59.89 56.91 59.97 57.18 60.05 57.03 60.14 57.08 60.22 56.95 60.3 57.25 60.39 57.17 60.47 57.06 60.55 57.01 60.63 57.07 60.72 57.28 60.8 57.69 60.88 57.9 60.97 57.87 61.05 57.53 61.13 57.6 61.22 57.55 61.3 57.36 61.38 57.49 61.47 57.65 61.55 57.59 61.63 56.87 61.72 56.93 61.8 56.87 61.88 56.86 61.97 56.97 62.05 56.39 62.13 55.98 62.21 55.94 62.3 55.82 62.38 55.92 62.46 55.94 62.55 55.57 62.63 56.01 62.71 55.55 62.8 55.38 62.88 55.36 62.96 54.98 63.05 55.17 63.13 54.96 63.21 54.79 63.3 54.79 63.38 54.56 63.46 54.65 63.55 54.65 63.63 54.75 63.71 54.63 63.8 54.74 63.88 54.78 63.96 54.36 64.04 54.27 64.13 54.67 64.21 54.13 64.29 53.93 64.38 53.72 64.46 53.68 64.54 53.53 64.63 53.36 64.71 53.62 64.79 53.54 64.88 54.11 64.96 54.15 65.04 53.88 65.13 54.48 65.21 54.41 65.29 54.9 65.38 54.77 65.46 54.51 65.54 54.31 65.62 54.18 65.71 54.57 65.79 54.56 65.87 54.43 65.96 53.88 66.04 53.68 66.12 53.48 66.21 53.3 66.29 53.18 66.37 53.15 66.46 53.31 66.54 52.99 66.62 52.93 66.71 52.94 66.79 52.96 66.87 53.17 66.96 53.4 67.04 53.53 67.12 53.14 67.2 53.4 67.29 53.79 67.37 53.65 67.45 53.85 67.54 53.96 67.62 54.06 67.7 54.25 67.79 54.02 67.87 54.46 67.95 54.49 68.04 54.58 68.12 54.27 68.2 54.21 68.29 54.71 68.37 54.66 68.45 54.66 68.54 54.56 68.62 54.63 68.7 54.71 68.78 54.63 68.87 54.08 68.95 54.45 69.03 54.19 69.12 54.31 69.2 54.01 69.28 53.66 69.37 53.69 69.45 53.44 69.53 53.22 69.62 53 69.7 53.24 69.78 53.41 69.87 53.63 69.95 53.56 70.03 53.75 70.12 54.01 70.2 53.74 70.28 53.84 70.36 53.67 70.45 54.05 70.53 53.52 70.61 53.3 70.7 53.69 70.78 53.88 70.86 53.6 70.95 53.02 71.03 53.42 71.11 53.41 71.2 53.65 71.28 53.66 71.36 53.62 71.45 53.71 71.53 53.03 71.61 53.18 71.7 52.3 71.78 52.1 71.86 52.29 71.94 52.69 72.03 52.83 72.11 52.59 72.19 52.51 72.28 52.48 72.36 52.21 72.44 52.09 72.53 52.31 72.61 52.51 72.69 52.12 72.78 51.6 72.86 51.07 72.94 50.97 73.03 50.6 73.11 50.4 73.19 50.64 73.28 50.32 73.36 50.21 73.44 50.34 73.53 50.32 73.61 50.67 73.69 51.2 73.77 51.46 73.86 50.84 73.94 50.52 74.02 50.4 74.11 50.62 74.19 50.68 74.27 51.36 74.36 51.29 74.44 51.65 74.52 51.38 74.61 51.82 74.69 51.54 74.77 51.95 74.86 51.84 74.94 52.15 75.02 51.85 75.11 51.89 75.19 51.2 75.27 51.16 75.35 51.16 75.44 51.67 75.52 51.87 75.6 51.93 75.69 51.79 75.77 51.92 75.85 52 75.94 52.17 76.02 52.11 76.1 52.06 76.19 51.92 76.27 52.42 76.35 52.47 76.44 52.46 76.52 53 76.6 52.94 76.69 52.98 76.77 53.54 76.85 53.69 76.93 53.41 77.02 53.38 77.1 53.46 77.18 52.96 77.27 52.63 77.35 52.81 77.43 52.43 77.52 53.04 77.6 53.68 77.68 53.09 77.77 52.65 77.85 52.32 77.93 52.34 78.02 52.62 78.1 52.57 78.18 53.01 78.27 53.33 78.35 53.39 78.43 53.3 78.51 53.31 78.6 53.13 78.68 52.83 78.76 52.61 78.85 52.28 78.93 52.04 79.01 52.2 79.1 52.57 79.18 52.47 79.26 52.03 79.35 52.04 79.43 51.87 79.51 51.8 79.6 52.02 79.68 52.11 79.76 51.56 79.85 51.1 79.93 51.03 80.01 51.25 80.09 50.98 80.18 50.67 80.26 50.12 80.34 50.68 80.43 51.41 80.51 51.59 80.59 51.38 80.68 51.28 80.76 50.76 80.84 50.62 80.93 50.4 81.01 50.47 81.09 50.72 81.18 50.77 81.26 50.51 81.34 49.69 81.43 49.6 81.51 49.19 81.59 49.55 81.67 49.8 81.76 49.66 81.84 49.53 81.92 49.96 82.01 50.06 82.09 50.44 82.17 50.33 82.26 50.35 82.34 50.46 82.42 50.67 82.51 51.36 82.59 51.45 82.67 51.59 82.76 51.13 82.84 50.87 82.92 50.55 83.01 50.79 83.09 51.37 83.17 51.17 83.26 51.15 83.34 51.06 83.42 51.76 83.5 51.27 83.59 51.99 83.67 52.17 83.75 52.61 83.84 52.76 83.92 52.65 84 52.54 84.09 52.54 84.17 52.87 84.25 53.17 84.34 52.9 84.42 53.06 84.5 52.76 84.59 53.52 84.67 53.57 84.75 53.9 84.84 53.93 84.92 53.88 85 54.34 85.08 54.24 85.17 54.65 85.25 55.27 85.33 55.01 85.42 55.07 85.5 55.23 85.58 54.97 85.67 55.02 85.75 54.96 85.83 54.87 85.92 55.13 86 55.2 86.08 54.8 86.17 54.86 86.25 54.88 86.33 54.72 86.42 54.71 86.5 54.7 86.58 54.83 86.66 54.93 86.75 54.78 86.83 54.71 86.91 54.47 87 54.79 87.08 54.61 87.16 54.76 87.25 54.89 87.33 54.85 87.41 54.31 87.5 54.39 87.58 54.12 87.66 54.29 87.75 54.44 87.83 54.28 87.91 53.59 88 53.19 88.08 53.2 88.16 52.75 88.24 52.91 88.33 53.03 88.41 53.12 88.49 53.69 88.58 53.72 88.66 53.49 88.74 53.9 88.83 54.04 88.91 54.29 88.99 54.08 89.08 54.58 89.16 54.73 89.24 54.27 89.33 54.38 89.41 53.84 89.49 54.3 89.58 54.03 89.66 54.05 89.74 54.3 89.82 54.03 89.91 53.84 89.99 53.74 90.07 54.03 90.16 54.5 90.24 54.17 90.32 54.39 90.41 54.67 90.49 54.7 90.57 54.78 90.66 54.48 90.74 54.13 90.82 54.03 90.91 53.97 90.99 53.63 91.07 53.85 91.16 53.8 91.24 54.04 91.32 53.66 91.4 53.81 91.49 53.73 91.57 53.53 91.65 53.79 91.74 53.51 91.82 53.66 91.9 53.82 91.99 53.77 92.07 53.93 92.15 54.42 92.24 54.34 92.32 53.86 92.4 53.84 92.49 53.7 92.57 53.02 92.65 52.88 92.74 53.05 92.82 53.07 92.9 53.83 92.99 53.77 93.07 54.08 93.15 54.32 93.23 54.01 93.32 54.09 93.4 54.36 93.48 54.25 93.57 54.14 93.65 54.23 93.73 54.06 93.82 54.01 93.9 53.79 93.98 53.78 94.07 53.79 94.15 53.81 94.23 53.7 94.32 54.56 94.4 54.32 94.48 54.54 94.57 54.57 94.65 54.58 94.73 55.1 94.81 54.65 94.9 54.61 94.98 54.98 95.06 55.19 95.15 55.47 95.23 55.75 95.31 55.99 95.4 55.72 95.48 55.57 95.56 55.36 95.65 55.21 95.73 55.24 95.81 55.53 95.9 55.7 95.98 55.38 96.06 55.3 96.15 55.18 96.23 55.39 96.31 55.36 96.39 55.47 96.48 55.48 96.56 55.29 96.64 55.19 96.73 55.07 96.81 54.99 96.89 55.42 96.98 55.05 97.06 55.03 97.14 55.16 97.23 55 97.31 54.84 97.39 54.96 97.48 54.86 97.56 54.91 97.64 54.9 97.73 55.21 97.81 55.01 97.89 55.15 97.97 55.25 98.06 55.26 98.14 55.15 98.22 55.65 98.31 55.73 98.39 55.5 98.47 55.27 98.56 55.78 98.64 55.62 98.72 55.97 98.81 56.45 98.89 56.71 98.97 56.88 99.06 56.44 99.14 56.31 99.22 56.22 99.31 56.01 99.39 56.13 99.47 55.88 99.55 55.64 99.64 55.27 99.72 55.25 99.8 55.04 99.89 54.82 99.97 55.17 100.05 54.96 100.14 54.68 100.22 54.8 100.3 54.57 100.39 54.59 100.47 55.05 100.55 54.73 100.64 54.84 100.72 54.5 100.8 54.6 100.89 54.57 100.97 54.26 101.05 54.3 101.13 54.19 101.22 54.29 101.3 54.52 101.38 54.26 101.47 54.38 101.55 54.53 101.63 54.13 101.72 53.96 101.8 53.85 101.88 53.58 101.97 53.74 102.05 53.99 102.13 53.41 102.22 53.49 102.3 53.03 102.38 52.77 102.47 52.53 102.55 52.06 102.63 52.02 102.72 52.66 102.8 52.41 102.88 52.2 102.96 52.26 103.05 52.41 103.13 52.7 103.21 53.17 103.3 53.02 103.38 52.63 103.46 52.87 103.55 52.59 103.63 52.78 103.71 52.78 103.8 52.96 103.88 53.48 103.96 53.18 104.05 53.19 104.13 52.71 104.21 52.7 104.3 53.06 104.38 52.75 104.46 52.72 104.54 52.86 104.63 52.79 104.71 52.51 104.79 52.67 104.88 52.67 104.96 52.3 105.04 52.07 105.13 52.38 105.21 52.96 105.29 53.28 105.38 53.4 105.46 53 105.54 53.39 105.63 52.92 105.71 53.59 105.79 53.45 105.88 53.88 105.96 53.76 106.04 54.11 106.12 54.4 106.21 54.74 106.29 54.71 106.37 54.73 106.46 54.77 106.54 54.86 106.62 55.06 106.71 54.75 106.79 54.66 106.87 55.11 106.96 55.06 107.04 55.06 107.12 55.27 107.21 55.17 107.29 55.55 107.37 55.29 107.46 55.51 107.54 55.55 107.62 55.51 107.7 55.2 107.79 55.57 107.87 55.6 107.95 55.76 108.04 56.06 108.12 56.02 108.2 55.71 108.29 55.26 108.37 55.24 108.45 54.67 108.54 54.46 108.62 54.35 108.7 54.68 108.79 54.55 108.87 54.16 108.95 54.3 109.04 54.16 109.12 54.48 109.2 54.38 109.28 54.15 109.37 54.67 109.45 54.92 109.53 54.88 109.62 54.5 109.7 54.73 109.78 54.94 109.87 55.47 109.95 55.52 110.03 56.01 110.12 55.82 110.2 56 110.28 55.45 110.37 55.58 110.45 55.48 110.53 55.97 110.62 55.57 110.7 55.66 110.78 55.74 110.86 55.94 110.95 56.03 111.03 56.31 111.11 56.33 111.2 56.73 111.28 56.65 111.36 56.43 111.45 56.06 111.53 55.58 111.61 55.43 111.7 55.02 111.78 54.47 111.86 54.38 111.95 53.77 112.03 54.59 112.11 54.88 112.2 55.09 112.28 54.73 112.36 55.35 112.45 55.53 112.53 55.33 112.61 55.34 112.69 55.3 112.78 55.32 112.86 55.57 112.94 55.42 113.03 55.78 113.11 55.7 113.19 55.46 113.28 55.56 113.36 55.84 113.44 55.56 113.53 55.14 113.61 54.52 113.69 54.6 113.78 54.76 113.86 54.72 113.94 54.78 114.03 54.16 114.11 54.31 114.19 54.32 114.27 54.44 114.36 54.1 114.44 54.51 114.52 54.47 114.61 54.5 114.69 54.56 114.77 54.55 114.86 54.43 114.94 54.58 115.02 54.49 115.11 54.69 115.19 54.59 115.27 54.61 115.36 54.91 115.44 54.9 115.52 54.31 115.61 54.24 115.69 53.66 115.77 53.44 115.85 53.41 115.94 53.27 116.02 52.79 116.1 52.71 116.19 52.76 116.27 52.7 116.35 52.41 116.44 52.52 116.52 52.3 116.6 52.12 116.69 52.81 116.77 52.53 116.85 52.53 116.94 52.62 117.02 53.31 117.1 52.91 117.19 53.2 117.27 53.15 117.35 52.88 117.43 52.86 117.52 52.56 117.6 52.55 117.68 52.81 117.77 53.05 117.85 53.14 117.93 52.68 118.02 52.33 118.1 52.37 118.18 52.27 118.27 52.08 118.35 51.97 118.43 51.76 118.52 51.77 118.6 51.53 118.68 51.89 118.77 51.79 118.85 51.92 118.93 52.19 119.01 51.78 119.1 51.77 119.18 51.61 119.26 52.29 119.35 52.04 119.43 51.92 119.51 52.16 119.6 51.75 119.68 51.54 119.76 51.71 119.85 51.48 119.93 51.61 120.01 51.8 120.1 51.91 120.18 52.14 120.26 52.28 120.35 51.87 120.43 52.16 120.51 52.24 120.59 52.52 120.68 52.78 120.76 53.09 120.84 53.54 120.93 53.25 121.01 53.66 121.09 53.53 121.18 53.65 121.26 53.45 121.34 54.13 121.43 53.79 121.51 54.08 121.59 53.97 121.68 53.95 121.76 54.32 121.84 54.37 121.93 54.55 122.01 54.38 122.09 54.4 122.18 54.32 122.26 54.23 122.34 54.5 122.42 54.6 122.51 54.63 122.59 54.67 122.67 54.7 122.76 54.8 122.84 54.94 122.92 54.82 123.01 54.85 123.09 55.15 123.17 55.08 123.26 54.49 123.34 54.71 123.42 54.73 123.51 54.81 123.59 54.82 123.67 54.34 123.76 53.94 123.84 53.72 123.92 53.67 124 53.22 124.09 53.55 124.17 54.15 124.25 54.28 124.34 54.16 124.42 54.33 124.5 53.89 124.59 53.66 124.67 53.47 124.75 53.29 124.84 53.45 124.92 53.26 125 52.99 125.09 53.13 125.17 53.26 125.25 52.94 125.34 52.83 125.42 53.14 125.5 53.11 125.58 52.86\" class=\"geometry color_\" stroke=\"#88C4C4\"/>\n",
|
||
" <path fill=\"none\" d=\"M21.63,44.35 L 21.71 44.35 21.8 43.82 21.88 43.35 21.96 43.62 22.05 43.41 22.13 43.51 22.21 43.12 22.3 43.17 22.38 43.28 22.46 43.12 22.55 43.57 22.63 43.75 22.71 43.63 22.8 43.98 22.88 43.62 22.96 43.35 23.05 43.91 23.13 43.7 23.21 43.69 23.29 43.56 23.38 43.1 23.46 42.4 23.54 42.32 23.63 41.86 23.71 41.8 23.79 41.96 23.88 41.58 23.96 41.58 24.04 41.28 24.13 41.33 24.21 41.47 24.29 42.07 24.38 41.85 24.46 41.49 24.54 41.28 24.63 41.2 24.71 40.51 24.79 40.83 24.88 41.52 24.96 41.24 25.04 40.84 25.12 40.88 25.21 40.52 25.29 40.31 25.37 40.02 25.46 40.27 25.54 40.01 25.62 39.5 25.71 39.12 25.79 39.49 25.87 39.58 25.96 39.03 26.04 39.65 26.12 39.3 26.21 38.4 26.29 38.48 26.37 37.79 26.46 38.67 26.54 38.72 26.62 38.51 26.7 37.99 26.79 37.51 26.87 38 26.95 38.93 27.04 40.04 27.12 39.6 27.2 40.1 27.29 39.59 27.37 40.61 27.45 40.38 27.54 40.78 27.62 40.93 27.7 40.87 27.79 40.21 27.87 40.01 27.95 40.13 28.04 40.52 28.12 41.19 28.2 41.39 28.28 40.64 28.37 40.43 28.45 40.12 28.53 40.09 28.62 39.89 28.7 39.28 28.78 38.87 28.87 38.37 28.95 38.06 29.03 38.13 29.12 37.91 29.2 37.97 29.28 38.41 29.37 37.79 29.45 37.43 29.53 37.73 29.62 37.14 29.7 37.01 29.78 37.35 29.86 38.33 29.95 38.47 30.03 38.95 30.11 39.03 30.2 38.83 30.28 38.36 30.36 38.38 30.45 38.73 30.53 38.59 30.61 38.35 30.7 38.39 30.78 38.76 30.86 38.39 30.95 38.07 31.03 38.59 31.11 37.94 31.2 38.01 31.28 37.75 31.36 38.02 31.44 38.64 31.53 38.95 31.61 39.85 31.69 40.43 31.78 40.51 31.86 41.07 31.94 41.35 32.03 41.35 32.11 42.09 32.19 42.06 32.28 42.72 32.36 43.36 32.44 43.35 32.53 42.11 32.61 42.05 32.69 42.11 32.78 42.49 32.86 42.71 32.94 42.87 33.02 42.73 33.11 42.66 33.19 42.45 33.27 43.18 33.36 42.83 33.44 42.3 33.52 42.45 33.61 42.02 33.69 42.7 33.77 43.11 33.86 42.7 33.94 42.28 34.02 41.78 34.11 41.2 34.19 41.35 34.27 41.99 34.36 41.89 34.44 41.63 34.52 41.88 34.61 41.92 34.69 41.77 34.77 41.87 34.85 42.01 34.94 41.82 35.02 42.38 35.1 42.11 35.19 42.32 35.27 41.71 35.35 41.14 35.44 41.57 35.52 41.47 35.6 41.16 35.69 41.46 35.77 41.77 35.85 42.38 35.94 42.65 36.02 41.59 36.1 41.68 36.19 41.08 36.27 40.61 36.35 40.61 36.43 40.52 36.52 40.38 36.6 39.92 36.68 39.28 36.77 39.67 36.85 39.31 36.93 39.8 37.02 39.64 37.1 38.95 37.18 38.78 37.27 38.29 37.35 38.85 37.43 39.28 37.52 39.68 37.6 39.76 37.68 39.35 37.77 39.41 37.85 39.68 37.93 39.39 38.01 38.83 38.1 38.34 38.18 37.49 38.26 37.61 38.35 36.62 38.43 36.75 38.51 35.54 38.6 35.5 38.68 34.91 38.76 34.37 38.85 35.17 38.93 35.08 39.01 35.28 39.1 35.12 39.18 35.33 39.26 35.92 39.35 36.39 39.43 36.28 39.51 35.95 39.59 35.86 39.68 35.85 39.76 36.27 39.84 35.76 39.93 35.02 40.01 34.67 40.09 34.56 40.18 34.29 40.26 33.88 40.34 33.39 40.43 32.52 40.51 32.43 40.59 32.21 40.68 31.44 40.76 30.78 40.84 31.24 40.93 31.2 41.01 30.66 41.09 31.18 41.17 30.54 41.26 31.36 41.34 30.24 41.42 30.84 41.51 30.62 41.59 31.3 41.67 31.37 41.76 30.73 41.84 30.25 41.92 30.77 42.01 31.69 42.09 32.8 42.17 32.62 42.26 32.83 42.34 32.62 42.42 32.67 42.51 32.67 42.59 32.36 42.67 31.79 42.75 31.72 42.84 31.78 42.92 33.18 43 33.88 43.09 33.18 43.17 32.94 43.25 32.61 43.34 32.28 43.42 31.95 43.5 31.5 43.59 31.75 43.67 31.85 43.75 30.89 43.84 30.47 43.92 29.53 44 29.08 44.09 29.19 44.17 29.02 44.25 29.16 44.34 29.22 44.42 28.41 44.5 28.59 44.58 28.75 44.67 28.88 44.75 29.41 44.83 29.03 44.92 28.8 45 28.75 45.08 28.39 45.17 28.13 45.25 27.5 45.33 27.71 45.42 27.52 45.5 28.54 45.58 27.37 45.67 27.1 45.75 27.01 45.83 26.66 45.92 26.62 46 26.09 46.08 26.34 46.16 27.1 46.25 27.22 46.33 27.45 46.41 28.84 46.5 28.77 46.58 27.76 46.66 28.34 46.75 27.56 46.83 26.91 46.91 27.25 47 27.42 47.08 26.58 47.16 27.01 47.25 26.8 47.33 27.14 47.41 27.04 47.5 27.19 47.58 27.37 47.66 26.54 47.74 26.92 47.83 25.82 47.91 25.49 47.99 25.82 48.08 25.69 48.16 25.16 48.24 25.98 48.33 25.8 48.41 26.01 48.49 25.83 48.58 26.25 48.66 25.89 48.74 25.96 48.83 26.66 48.91 26.72 48.99 26.3 49.08 27.09 49.16 27.79 49.24 28.33 49.32 28.16 49.41 28.43 49.49 28.07 49.57 28.67 49.66 28.95 49.74 28.74 49.82 28.63 49.91 28.51 49.99 27.73 50.07 27.61 50.16 27.26 50.24 27.02 50.32 27.05 50.41 28.27 50.49 28.65 50.57 29.26 50.66 29.26 50.74 29.67 50.82 30.2 50.9 30.14 50.99 30.85 51.07 30.3 51.15 29.97 51.24 30.51 51.32 30.39 51.4 30.36 51.49 29.56 51.57 29.99 51.65 30.95 51.74 30.78 51.82 31.23 51.9 31.85 51.99 32.23 52.07 32.4 52.15 32.24 52.24 31.59 52.32 31.7 52.4 32.2 52.48 32.2 52.57 32.17 52.65 31.69 52.73 31.74 52.82 32.33 52.9 32.52 52.98 32.73 53.07 32.41 53.15 33.3 53.23 32.88 53.32 32.54 53.4 32.8 53.48 32.23 53.57 32.45 53.65 31.72 53.73 32.3 53.82 32.26 53.9 32.38 53.98 32.33 54.07 32.11 54.15 31.9 54.23 31.51 54.31 31.28 54.4 31.09 54.48 31.03 54.56 31.08 54.65 31.49 54.73 31.49 54.81 32.05 54.9 30.97 54.98 31.25 55.06 31.61 55.15 31.55 55.23 31.1 55.31 30.14 55.4 30.74 55.48 30.74 55.56 30.67 55.65 30.62 55.73 31.3 55.81 31.84 55.89 32.05 55.98 32.89 56.06 33.02 56.14 32.98 56.23 32.61 56.31 32.38 56.39 32.13 56.48 32.52 56.56 32.5 56.64 32.2 56.73 32 56.81 32.13 56.89 33.17 56.98 33.07 57.06 33.21 57.14 33.81 57.23 34.06 57.31 34.47 57.39 35.05 57.47 34.32 57.56 34.82 57.64 35.27 57.72 35.19 57.81 36.21 57.89 36.18 57.97 36.29 58.06 36.3 58.14 36.21 58.22 36.94 58.31 35.98 58.39 35.51 58.47 35.88 58.56 36.81 58.64 37 58.72 38.13 58.81 38.12 58.89 37.47 58.97 37.59 59.05 36.95 59.14 37.15 59.22 36.98 59.3 36.75 59.39 36.33 59.47 36.04 59.55 35.18 59.64 35.61 59.72 35.02 59.8 35.07 59.89 35.36 59.97 34.3 60.05 34.29 60.14 34.11 60.22 33.72 60.3 34.46 60.39 34.71 60.47 35.04 60.55 35.52 60.63 35.59 60.72 35.96 60.8 36.13 60.88 36.11 60.97 36.4 61.05 36.31 61.13 36.66 61.22 36.62 61.3 36.52 61.38 36.35 61.47 35.81 61.55 36.37 61.63 36.91 61.72 36.56 61.8 36.96 61.88 37.22 61.97 37.67 62.05 37.68 62.13 37.76 62.21 37.39 62.3 37.42 62.38 38.18 62.46 38.43 62.55 38.64 62.63 37.65 62.71 37.71 62.8 37.22 62.88 36.49 62.96 36.46 63.05 36.29 63.13 36.22 63.21 34.85 63.3 34.85 63.38 35.46 63.46 35.36 63.55 35.61 63.63 35.8 63.71 35.65 63.8 36.25 63.88 36.42 63.96 36.22 64.04 35.64 64.13 36.05 64.21 35.72 64.29 35.77 64.38 35.53 64.46 35.59 64.54 35.91 64.63 36.07 64.71 36.79 64.79 36.28 64.88 36.33 64.96 36.07 65.04 35.45 65.13 36.03 65.21 35.74 65.29 34.79 65.38 34.94 65.46 34.66 65.54 34.71 65.62 35.15 65.71 35.52 65.79 35.62 65.87 36.2 65.96 36.05 66.04 36.23 66.12 35.51 66.21 35.97 66.29 35.76 66.37 35.9 66.46 36.13 66.54 35.44 66.62 34.84 66.71 35.93 66.79 35.63 66.87 35.88 66.96 36.16 67.04 37.13 67.12 37.9 67.2 37.66 67.29 37.38 67.37 37.12 67.45 37.08 67.54 37.62 67.62 37.56 67.7 37.39 67.79 37.76 67.87 38.22 67.95 38.51 68.04 38.62 68.12 39.75 68.2 39.17 68.29 39.13 68.37 39.5 68.45 38.87 68.54 38.62 68.62 38.5 68.7 37.95 68.78 38.79 68.87 37.93 68.95 38.26 69.03 37.99 69.12 37.21 69.2 36.72 69.28 37.05 69.37 36.79 69.45 37.28 69.53 37.43 69.62 37.16 69.7 37.2 69.78 37.51 69.87 37.84 69.95 37.95 70.03 37.97 70.12 38.85 70.2 39.13 70.28 39.1 70.36 39 70.45 37.66 70.53 37.01 70.61 36.61 70.7 36.89 70.78 37.07 70.86 37.09 70.95 36.89 71.03 37.44 71.11 37.1 71.2 36.33 71.28 36.12 71.36 36.89 71.45 36.27 71.53 37.05 71.61 37.36 71.7 38.02 71.78 38.11 71.86 38.45 71.94 37.81 72.03 38.22 72.11 38.17 72.19 39.19 72.28 39.29 72.36 39.28 72.44 39.38 72.53 39.06 72.61 38.72 72.69 38.78 72.78 38.59 72.86 39.56 72.94 39 73.03 38.61 73.11 38.33 73.19 38.32 73.28 39.2 73.36 39.45 73.44 39.8 73.53 40.08 73.61 40 73.69 39.82 73.77 39.73 73.86 39.81 73.94 39.81 74.02 39.84 74.11 39.75 74.19 39.9 74.27 40 74.36 40.38 74.44 40.19 74.52 40.4 74.61 40.78 74.69 41.05 74.77 41.39 74.86 41.27 74.94 40.45 75.02 40.48 75.11 40.68 75.19 40.55 75.27 40.37 75.35 40.7 75.44 40.43 75.52 41.06 75.6 41.15 75.69 41.33 75.77 41.48 75.85 41.93 75.94 41.34 76.02 41.89 76.1 41.94 76.19 43.02 76.27 43.48 76.35 44.02 76.44 44.05 76.52 43.91 76.6 43.67 76.69 43.68 76.77 43.8 76.85 43.75 76.93 43.46 77.02 43.08 77.1 43.2 77.18 43.15 77.27 42.9 77.35 42.64 77.43 43.69 77.52 44.39 77.6 44.04 77.68 43.48 77.77 43.7 77.85 43.71 77.93 43.53 78.02 42.36 78.1 42.78 78.18 42.93 78.27 42.55 78.35 42.24 78.43 41.9 78.51 41.37 78.6 40.82 78.68 40.69 78.76 40.54 78.85 39.78 78.93 39.6 79.01 39.78 79.1 39.72 79.18 39.89 79.26 39.94 79.35 40.16 79.43 40.46 79.51 40.95 79.6 40.62 79.68 40.89 79.76 41.97 79.85 42.19 79.93 42.09 80.01 42.55 80.09 42.05 80.18 42.44 80.26 41.98 80.34 41.59 80.43 41.45 80.51 41.05 80.59 41.19 80.68 40.73 80.76 40.9 80.84 40.54 80.93 40.94 81.01 40.77 81.09 40.74 81.18 41.18 81.26 40.85 81.34 40.86 81.43 41.04 81.51 41.41 81.59 41.2 81.67 40.56 81.76 39.95 81.84 40.48 81.92 40.67 82.01 41.07 82.09 41.15 82.17 41.12 82.26 41.3 82.34 41.04 82.42 40.97 82.51 41.15 82.59 42.04 82.67 41.24 82.76 41.81 82.84 42.1 82.92 42.21 83.01 42.32 83.09 42.4 83.17 42.52 83.26 42.52 83.34 42.46 83.42 42.26 83.5 42.06 83.59 42.17 83.67 42.26 83.75 41.48 83.84 41.36 83.92 41.39 84 41.02 84.09 41.02 84.17 41.41 84.25 41.4 84.34 40.96 84.42 40.3 84.5 39.71 84.59 39.46 84.67 39.46 84.75 39.1 84.84 38.59 84.92 37.54 85 37.8 85.08 38.09 85.17 38.24 85.25 38.2 85.33 37.67 85.42 37.8 85.5 37.81 85.58 37.82 85.67 38.07 85.75 37.98 85.83 38.7 85.92 38.93 86 38.5 86.08 39.11 86.17 39.07 86.25 38.57 86.33 38.29 86.42 38.33 86.5 38.31 86.58 38.9 86.66 39.27 86.75 38.83 86.83 39.36 86.91 39.46 87 39.34 87.08 38.92 87.16 39.03 87.25 39.22 87.33 39.14 87.41 39.96 87.5 39.34 87.58 39.67 87.66 39.42 87.75 39.55 87.83 39.78 87.91 40.21 88 39.85 88.08 40.53 88.16 40.55 88.24 40.38 88.33 40.71 88.41 40.29 88.49 39.9 88.58 40.22 88.66 40.9 88.74 41.44 88.83 41.71 88.91 40.78 88.99 40.52 89.08 40.08 89.16 40.14 89.24 41.05 89.33 40.93 89.41 42.23 89.49 41.93 89.58 42.33 89.66 42.61 89.74 42.73 89.82 41.71 89.91 40.53 89.99 40.58 90.07 40.48 90.16 40.48 90.24 39.77 90.32 39.88 90.41 39.29 90.49 38.73 90.57 38.46 90.66 39.17 90.74 38.64 90.82 38.59 90.91 39.21 90.99 39.28 91.07 38.92 91.16 39 91.24 39.45 91.32 39.32 91.4 37.54 91.49 37.42 91.57 37.16 91.65 37.29 91.74 37.69 91.82 37.07 91.9 36.8 91.99 37.53 92.07 37.57 92.15 38.03 92.24 37.86 92.32 37.66 92.4 37.92 92.49 38.39 92.57 38.03 92.65 38.39 92.74 38.93 92.82 38.37 92.9 38.03 92.99 38.45 93.07 38.41 93.15 38.47 93.23 38.08 93.32 37.83 93.4 38.1 93.48 37.56 93.57 37.59 93.65 37.32 93.73 37.97 93.82 37.7 93.9 37.91 93.98 37.32 94.07 37.82 94.15 36.84 94.23 37.7 94.32 37.82 94.4 37.09 94.48 36.74 94.57 36.75 94.65 35.99 94.73 37.1 94.81 37.29 94.9 37.74 94.98 37.94 95.06 37.2 95.15 36.83 95.23 35.86 95.31 35.58 95.4 35.69 95.48 35.53 95.56 35.68 95.65 36.21 95.73 36.18 95.81 35.88 95.9 35.9 95.98 35.52 96.06 35.27 96.15 35.04 96.23 35.87 96.31 36.74 96.39 36.25 96.48 35.82 96.56 35.57 96.64 36.7 96.73 36.35 96.81 35.73 96.89 35.82 96.98 36.32 97.06 36.15 97.14 35.85 97.23 34.77 97.31 34.5 97.39 34.53 97.48 34.74 97.56 35.19 97.64 35.8 97.73 36.45 97.81 36.46 97.89 36.33 97.97 37.19 98.06 37.63 98.14 37.94 98.22 38.96 98.31 38.56 98.39 39.21 98.47 39.02 98.56 39.13 98.64 38.91 98.72 39.07 98.81 39.14 98.89 38.69 98.97 38.14 99.06 38.24 99.14 37.49 99.22 37.44 99.31 37.17 99.39 37.34 99.47 37.48 99.55 37.7 99.64 37 99.72 37.67 99.8 38.12 99.89 37.06 99.97 36.87 100.05 36.6 100.14 36.03 100.22 35.86 100.3 35.89 100.39 35.93 100.47 35.94 100.55 36.78 100.64 36.61 100.72 36.16 100.8 35.45 100.89 34.97 100.97 33.9 101.05 33.04 101.13 33.5 101.22 34.45 101.3 35.03 101.38 35.19 101.47 34.8 101.55 34.92 101.63 35.69 101.72 35.9 101.8 34.54 101.88 35.3 101.97 35.44 102.05 34.88 102.13 34.34 102.22 33.34 102.3 33.63 102.38 34.11 102.47 33.64 102.55 33.94 102.63 34.24 102.72 33.63 102.8 34.15 102.88 34.21 102.96 33.56 103.05 33.13 103.13 32.28 103.21 31.78 103.3 31.5 103.38 30.43 103.46 30.09 103.55 29.62 103.63 29.33 103.71 28.94 103.8 29.48 103.88 29.98 103.96 29.42 104.05 29.61 104.13 30.27 104.21 31.26 104.3 31.09 104.38 31.76 104.46 32.2 104.54 32.52 104.63 32.58 104.71 33.08 104.79 33.51 104.88 33.51 104.96 33.87 105.04 33.81 105.13 34.09 105.21 34.01 105.29 33.56 105.38 33.06 105.46 33.35 105.54 32.84 105.63 32.08 105.71 31.47 105.79 30.91 105.88 30.99 105.96 31.24 106.04 31.26 106.12 31.74 106.21 32.18 106.29 31.67 106.37 31.94 106.46 31.25 106.54 30.49 106.62 29.74 106.71 29.11 106.79 28.57 106.87 28.83 106.96 28.55 107.04 28.51 107.12 28.46 107.21 28.93 107.29 29.13 107.37 29.3 107.46 28.98 107.54 29.12 107.62 29.64 107.7 29.37 107.79 29.3 107.87 28.78 107.95 28.98 108.04 28.86 108.12 28.6 108.2 28.79 108.29 29.07 108.37 28.62 108.45 28.31 108.54 28.34 108.62 27.43 108.7 27.45 108.79 28.43 108.87 29.2 108.95 28.99 109.04 29 109.12 29.17 109.2 28.95 109.28 28.3 109.37 27.72 109.45 28.82 109.53 28.9 109.62 28.98 109.7 28.84 109.78 27.88 109.87 27.9 109.95 28.05 110.03 27.58 110.12 28 110.2 28.5 110.28 29.1 110.37 29.49 110.45 29.18 110.53 29.81 110.62 29.4 110.7 28.92 110.78 30.13 110.86 29.79 110.95 29.84 111.03 29.89 111.11 30.05 111.2 29.13 111.28 27.82 111.36 27.74 111.45 27.81 111.53 27.43 111.61 27.2 111.7 27.66 111.78 27.48 111.86 27.27 111.95 26.56 112.03 26.08 112.11 26.73 112.2 26.97 112.28 26.62 112.36 26.09 112.45 26.5 112.53 26.52 112.61 26.66 112.69 26.39 112.78 25.9 112.86 26.17 112.94 26.61 113.03 27.93 113.11 28.71 113.19 27.94 113.28 29.11 113.36 28.95 113.44 29.77 113.53 28.91 113.61 29.68 113.69 28.78 113.78 29.78 113.86 29.87 113.94 29.5 114.03 30.03 114.11 30.32 114.19 30.56 114.27 30.2 114.36 29.51 114.44 30.28 114.52 29.3 114.61 28.42 114.69 28.71 114.77 28.82 114.86 29.67 114.94 29.37 115.02 29.96 115.11 30.4 115.19 30.34 115.27 29.83 115.36 29.79 115.44 29.11 115.52 29.09 115.61 28.87 115.69 29.25 115.77 29.8 115.85 29.74 115.94 29.07 116.02 28.98 116.1 29.49 116.19 29.23 116.27 29.07 116.35 29.4 116.44 29.74 116.52 29.8 116.6 30.1 116.69 28.99 116.77 29.21 116.85 29.57 116.94 29.74 117.02 29.82 117.1 29.72 117.19 28.72 117.27 28.46 117.35 28.94 117.43 28.42 117.52 28.24 117.6 28.46 117.68 28.68 117.77 29.24 117.85 29.7 117.93 29.34 118.02 28.83 118.1 28.49 118.18 29 118.27 28.11 118.35 27.86 118.43 28.34 118.52 27.5 118.6 26.75 118.68 26.99 118.77 27.64 118.85 27.21 118.93 26.69 119.01 26.03 119.1 24.71 119.18 25.53 119.26 25.87 119.35 25.78 119.43 25.88 119.51 26.88 119.6 26.56 119.68 26.08 119.76 25.81 119.85 25.64 119.93 26.75 120.01 26.43 120.1 26.06 120.18 26.94 120.26 26.16 120.35 26.79 120.43 26.57 120.51 27.03 120.59 26.63 120.68 27.22 120.76 28.43 120.84 28.61 120.93 28.76 121.01 29.04 121.09 28.82 121.18 28.32 121.26 28.29 121.34 28.64 121.43 29.2 121.51 29.36 121.59 29.48 121.68 28.5 121.76 28.75 121.84 29.53 121.93 29.67 122.01 29.62 122.09 29.21 122.18 28.63 122.26 29.53 122.34 29.52 122.42 30.52 122.51 30 122.59 30.15 122.67 30.3 122.76 31.04 122.84 30.76 122.92 30.37 123.01 30.75 123.09 30.95 123.17 31.23 123.26 31.22 123.34 31.11 123.42 30.44 123.51 30.94 123.59 31.69 123.67 32.2 123.76 31.62 123.84 31.14 123.92 31.78 124 32.42 124.09 33.08 124.17 33.16 124.25 32.62 124.34 32.62 124.42 32.09 124.5 32.12 124.59 31.82 124.67 32 124.75 31.76 124.84 31.67 124.92 32.02 125 31.5 125.09 32.2 125.17 30.81 125.25 30.75 125.34 30.05 125.42 28.78 125.5 28.05 125.58 27.86\" class=\"geometry color_\" stroke=\"#BECAB9\"/>\n",
|
||
" <path fill=\"none\" d=\"M21.63,44.35 L 21.71 44.35 21.8 43.74 21.88 43.65 21.96 43.55 22.05 43.53 22.13 43.48 22.21 43.34 22.3 43.42 22.38 42.99 22.46 43.42 22.55 43.26 22.63 42.72 22.71 42.52 22.8 42.45 22.88 42.2 22.96 41.9 23.05 42.03 23.13 41.74 23.21 40.93 23.29 41.8 23.38 41.73 23.46 41.32 23.54 41.26 23.63 41.24 23.71 41.61 23.79 41.82 23.88 42.12 23.96 42.48 24.04 42.39 24.13 42.55 24.21 42.85 24.29 42.94 24.38 43.28 24.46 44.25 24.54 44.07 24.63 43.81 24.71 43.95 24.79 44.35 24.88 44.34 24.96 43.9 25.04 42.94 25.12 43.17 25.21 43.09 25.29 43.5 25.37 43.31 25.46 43.37 25.54 43.79 25.62 44.1 25.71 43.4 25.79 43.16 25.87 43.35 25.96 43.82 26.04 44.32 26.12 43.9 26.21 43.35 26.29 43.07 26.37 42.86 26.46 42.48 26.54 42.39 26.62 42.27 26.7 42.26 26.79 42.41 26.87 42.84 26.95 43.64 27.04 43.77 27.12 43.72 27.2 43.87 27.29 44.33 27.37 43.69 27.45 43.82 27.54 43.42 27.62 43.14 27.7 42.85 27.79 43.09 27.87 43.28 27.95 43.24 28.04 42.77 28.12 42.57 28.2 43.06 28.28 43.36 28.37 43.36 28.45 43.18 28.53 43.23 28.62 42.55 28.7 42.91 28.78 42.69 28.87 42.83 28.95 42.57 29.03 42.66 29.12 42.78 29.2 43.36 29.28 42.75 29.37 42.61 29.45 42.73 29.53 43.07 29.62 43.23 29.7 43.52 29.78 43.55 29.86 43.29 29.95 43.6 30.03 44.28 30.11 44.4 30.2 44.17 30.28 44.19 30.36 44.46 30.45 44.68 30.53 44.58 30.61 44.14 30.7 44.28 30.78 43.85 30.86 42.86 30.95 43.22 31.03 43.44 31.11 42.78 31.2 42.41 31.28 41.94 31.36 41.98 31.44 41.46 31.53 42.23 31.61 42.36 31.69 42.53 31.78 42.73 31.86 43.1 31.94 42.85 32.03 42.78 32.11 43.12 32.19 43.35 32.28 43.37 32.36 43.11 32.44 42.83 32.53 42.47 32.61 42.44 32.69 42.25 32.78 42.73 32.86 43.08 32.94 43.28 33.02 43.34 33.11 42.7 33.19 42.5 33.27 42.82 33.36 42.45 33.44 41.39 33.52 41.09 33.61 42.05 33.69 41.77 33.77 41.49 33.86 41.16 33.94 41.24 34.02 41.03 34.11 40.76 34.19 40.98 34.27 41.11 34.36 40.6 34.44 40.64 34.52 41.1 34.61 40.88 34.69 39.94 34.77 40.43 34.85 40.07 34.94 39.94 35.02 40.09 35.1 40.09 35.19 40.02 35.27 40.6 35.35 40.71 35.44 40.81 35.52 40.88 35.6 41.81 35.69 41.85 35.77 41.71 35.85 41.85 35.94 41.51 36.02 41.73 36.1 41.45 36.19 41.32 36.27 41.15 36.35 40.68 36.43 40.34 36.52 39.65 36.6 39.76 36.68 39.43 36.77 39.64 36.85 39.41 36.93 39.28 37.02 38.36 37.1 37.89 37.18 38.34 37.27 38.25 37.35 38.46 37.43 38.69 37.52 38.26 37.6 37.79 37.68 37.8 37.77 38.29 37.85 38.27 37.93 37.75 38.01 38.48 38.1 38.55 38.18 37.69 38.26 37.39 38.35 37.15 38.43 36.61 38.51 37.45 38.6 36.8 38.68 37.37 38.76 37.02 38.85 37.54 38.93 37.53 39.01 37.87 39.1 38.01 39.18 38.35 39.26 38.12 39.35 37.33 39.43 37.75 39.51 37.68 39.59 37.6 39.68 37.32 39.76 37.2 39.84 36.54 39.93 36.08 40.01 36.39 40.09 36.62 40.18 36.62 40.26 36.83 40.34 36.61 40.43 36.3 40.51 36.14 40.59 35.95 40.68 36.27 40.76 36.02 40.84 35.85 40.93 35.42 41.01 36.18 41.09 35.98 41.17 36.06 41.26 35.71 41.34 35.6 41.42 35.93 41.51 36.32 41.59 36.32 41.67 36.62 41.76 36.83 41.84 37.02 41.92 36.31 42.01 36.28 42.09 35.81 42.17 35.62 42.26 36.13 42.34 36.63 42.42 36.29 42.51 36.29 42.59 36.46 42.67 36.57 42.75 36.53 42.84 36.3 42.92 36.3 43 37.02 43.09 37.46 43.17 37.84 43.25 37.67 43.34 37.2 43.42 36.97 43.5 37.06 43.59 36.97 43.67 37.52 43.75 36.95 43.84 36.58 43.92 36.44 44 36.07 44.09 35.77 44.17 35.57 44.25 36.24 44.34 35.75 44.42 35.32 44.5 34.88 44.58 35.21 44.67 35.19 44.75 35.09 44.83 35.01 44.92 34.85 45 34.56 45.08 34.38 45.17 34.3 45.25 34.75 45.33 34.88 45.42 34.07 45.5 34.54 45.58 35.13 45.67 36.08 45.75 36.43 45.83 36.41 45.92 36.41 46 37.04 46.08 37.36 46.16 36.67 46.25 35.93 46.33 35.44 46.41 36.53 46.5 36.38 46.58 36.1 46.66 36.02 46.75 36.11 46.83 35.66 46.91 34.86 47 34.65 47.08 35.22 47.16 34.94 47.25 35.43 47.33 35.26 47.41 35.15 47.5 34.63 47.58 35.04 47.66 35.03 47.74 35.05 47.83 35.2 47.91 35.16 47.99 35.35 48.08 35.44 48.16 35.27 48.24 35.27 48.33 35.38 48.41 35.19 48.49 35.23 48.58 34.07 48.66 33.4 48.74 34.21 48.83 34.12 48.91 34.42 48.99 34.92 49.08 34.56 49.16 34.75 49.24 34.77 49.32 34.03 49.41 34.11 49.49 34.48 49.57 33.73 49.66 33.54 49.74 33.17 49.82 32.8 49.91 33.39 49.99 33.53 50.07 33.66 50.16 33.64 50.24 33.26 50.32 33.32 50.41 33.22 50.49 32.92 50.57 33.42 50.66 33.36 50.74 33.09 50.82 33.46 50.9 33.43 50.99 33.43 51.07 34.22 51.15 34.21 51.24 34.4 51.32 34.53 51.4 35.21 51.49 35.44 51.57 34.45 51.65 34.73 51.74 34.65 51.82 34.92 51.9 35.13 51.99 35.39 52.07 34.54 52.15 34.76 52.24 34.65 52.32 34.17 52.4 33.63 52.48 34.19 52.57 34.09 52.65 33.58 52.73 33.61 52.82 33.84 52.9 33.15 52.98 32.78 53.07 32.53 53.15 33.33 53.23 31.97 53.32 31.43 53.4 30.68 53.48 30.53 53.57 29.54 53.65 29.73 53.73 30.31 53.82 29.91 53.9 30.29 53.98 29.88 54.07 29.58 54.15 29.21 54.23 29.35 54.31 28.81 54.4 28.85 54.48 29.34 54.56 29.04 54.65 29.06 54.73 29.12 54.81 28.93 54.9 28.83 54.98 29.21 55.06 28.9 55.15 28.46 55.23 28.68 55.31 28.93 55.4 29.25 55.48 28.99 55.56 28.63 55.65 28.99 55.73 28.36 55.81 27.85 55.89 29.36 55.98 28.4 56.06 28.82 56.14 27.79 56.23 27.41 56.31 27.83 56.39 27.63 56.48 28.28 56.56 28.62 56.64 29.51 56.73 29.85 56.81 30.05 56.89 29.55 56.98 29.31 57.06 28.7 57.14 28.14 57.23 28.85 57.31 28.7 57.39 28.57 57.47 28.16 57.56 28.12 57.64 28.77 57.72 28.82 57.81 28.48 57.89 29.09 57.97 28.31 58.06 28.1 58.14 28.02 58.22 28.09 58.31 28.38 58.39 28.31 58.47 28.63 58.56 28.43 58.64 29.14 58.72 29.47 58.81 28.94 58.89 28.65 58.97 28.92 59.05 28.4 59.14 28.36 59.22 29.05 59.3 29.08 59.39 28.55 59.47 28.12 59.55 28.32 59.64 27.71 59.72 27.01 59.8 26.81 59.89 26.82 59.97 27.09 60.05 26.97 60.14 27.83 60.22 28.05 60.3 27.61 60.39 27.37 60.47 26.75 60.55 26.28 60.63 25.33 60.72 25.23 60.8 24.76 60.88 25 60.97 24.48 61.05 24.78 61.13 26 61.22 26.34 61.3 26.18 61.38 26.87 61.47 26.5 61.55 26.33 61.63 25.57 61.72 26.62 61.8 25.9 61.88 26.12 61.97 26.4 62.05 26.64 62.13 27.4 62.21 26.34 62.3 26.33 62.38 26.1 62.46 26.11 62.55 26.75 62.63 26.56 62.71 26.44 62.8 26.17 62.88 26.26 62.96 26.73 63.05 26.26 63.13 26.03 63.21 26.17 63.3 26.17 63.38 25.99 63.46 25.64 63.55 26.1 63.63 26.43 63.71 26.08 63.8 25.94 63.88 26.32 63.96 26.46 64.04 26.26 64.13 26.64 64.21 26.73 64.29 26.74 64.38 26.82 64.46 26.85 64.54 27.15 64.63 27.57 64.71 27.67 64.79 28.08 64.88 28.29 64.96 28.48 65.04 28.09 65.13 27.8 65.21 27.69 65.29 26.69 65.38 26.76 65.46 26.56 65.54 27.62 65.62 27.48 65.71 28.95 65.79 28.84 65.87 29.38 65.96 28.94 66.04 29.2 66.12 28.19 66.21 27.98 66.29 28.01 66.37 26.72 66.46 26.72 66.54 26.06 66.62 27.35 66.71 27.79 66.79 27.17 66.87 27.32 66.96 28.12 67.04 27.66 67.12 27.99 67.2 28.08 67.29 27.89 67.37 27.35 67.45 26.61 67.54 27.2 67.62 28.25 67.7 28.87 67.79 29.61 67.87 28.77 67.95 29.01 68.04 29.83 68.12 29.84 68.2 29.38 68.29 30.07 68.37 29.96 68.45 29.26 68.54 30.17 68.62 30 68.7 30.86 68.78 30.75 68.87 30.53 68.95 30.23 69.03 29.8 69.12 29.71 69.2 30.1 69.28 29.8 69.37 31.25 69.45 31.72 69.53 30.72 69.62 31.13 69.7 31.04 69.78 31.47 69.87 31.74 69.95 31.02 70.03 31.47 70.12 31.6 70.2 31.66 70.28 31.9 70.36 31.49 70.45 31.23 70.53 31.45 70.61 31.48 70.7 31.74 70.78 32.11 70.86 31.58 70.95 31.47 71.03 30.88 71.11 30.32 71.2 31.17 71.28 31.11 71.36 31.12 71.45 32 71.53 31.47 71.61 31.96 71.7 32.4 71.78 31.85 71.86 31.65 71.94 31.48 72.03 32.25 72.11 32.21 72.19 32.4 72.28 32.12 72.36 32.06 72.44 31.78 72.53 32.43 72.61 32.66 72.69 31.77 72.78 32.17 72.86 32.61 72.94 33.15 73.03 33.44 73.11 33.4 73.19 32.55 73.28 32.24 73.36 32.73 73.44 32.81 73.53 32.97 73.61 32.52 73.69 32.61 73.77 32.19 73.86 32.43 73.94 32.35 74.02 33.11 74.11 32.83 74.19 33.01 74.27 33.21 74.36 32.91 74.44 33.74 74.52 33.95 74.61 34.11 74.69 34.15 74.77 33.96 74.86 33.72 74.94 33.23 75.02 33.58 75.11 33.65 75.19 33.51 75.27 32.86 75.35 32.68 75.44 32.81 75.52 32.7 75.6 32.41 75.69 31.99 75.77 32.04 75.85 32.51 75.94 32.76 76.02 33.44 76.1 33.97 76.19 34.32 76.27 34.12 76.35 34.94 76.44 34.83 76.52 35.07 76.6 34.65 76.69 35.13 76.77 34.11 76.85 34.72 76.93 35.38 77.02 34.14 77.1 34.13 77.18 34.65 77.27 34.46 77.35 35.21 77.43 34.93 77.52 34.68 77.6 34.17 77.68 33.39 77.77 33.81 77.85 33.9 77.93 33.8 78.02 33.35 78.1 33.58 78.18 32.75 78.27 31.84 78.35 31.16 78.43 31.68 78.51 32.13 78.6 31.69 78.68 31.9 78.76 31.86 78.85 32.26 78.93 32.5 79.01 32.51 79.1 32.36 79.18 32.51 79.26 32.73 79.35 33.67 79.43 33.29 79.51 34.28 79.6 34.56 79.68 35.3 79.76 35.32 79.85 34.6 79.93 34.58 80.01 35.32 80.09 35.54 80.18 35.19 80.26 35.11 80.34 35.81 80.43 35.98 80.51 35.97 80.59 36.01 80.68 35.98 80.76 36.17 80.84 36.22 80.93 36.23 81.01 36.06 81.09 36.02 81.18 36.93 81.26 36.35 81.34 36.94 81.43 36.61 81.51 36.29 81.59 35.59 81.67 35.3 81.76 36.15 81.84 35.71 81.92 35.52 82.01 36.27 82.09 37.53 82.17 37.81 82.26 38.23 82.34 38.64 82.42 39.09 82.51 38.65 82.59 39.51 82.67 39.88 82.76 40.37 82.84 40.4 82.92 41.56 83.01 41.46 83.09 41.82 83.17 41.57 83.26 41.39 83.34 41.58 83.42 41.57 83.5 41.17 83.59 41.5 83.67 40.81 83.75 40.5 83.84 40.57 83.92 40.13 84 39.79 84.09 39.79 84.17 39.79 84.25 39.83 84.34 39.67 84.42 38.94 84.5 38.97 84.59 38.12 84.67 37.79 84.75 38.35 84.84 38.18 84.92 38.06 85 38.76 85.08 38.89 85.17 39.36 85.25 39.06 85.33 39.44 85.42 39.38 85.5 39.23 85.58 38.94 85.67 38.78 85.75 39.09 85.83 38.96 85.92 39.2 86 38.71 86.08 38.34 86.17 37.88 86.25 37.77 86.33 38.13 86.42 37.99 86.5 39.02 86.58 38.7 86.66 38.08 86.75 37.79 86.83 37.52 86.91 38.05 87 38.01 87.08 37.87 87.16 37.66 87.25 37 87.33 37.11 87.41 37.1 87.5 36.76 87.58 36.03 87.66 35.74 87.75 36.31 87.83 36.76 87.91 37.5 88 37.23 88.08 36.62 88.16 36.28 88.24 35.92 88.33 36.16 88.41 36.81 88.49 36.75 88.58 36.84 88.66 36.84 88.74 36.05 88.83 36.09 88.91 35.35 88.99 35.32 89.08 35.25 89.16 35.4 89.24 35.57 89.33 35.68 89.41 35.76 89.49 34.84 89.58 34.61 89.66 34.75 89.74 35.23 89.82 35.52 89.91 35.7 89.99 35.99 90.07 36.27 90.16 35.74 90.24 35.17 90.32 34.85 90.41 35.36 90.49 35.34 90.57 35.87 90.66 35.34 90.74 35.39 90.82 34.76 90.91 34.94 90.99 34.24 91.07 34.55 91.16 34.32 91.24 34.7 91.32 34.68 91.4 34.6 91.49 33.76 91.57 33.83 91.65 34.1 91.74 33.5 91.82 32.87 91.9 32.53 91.99 31.56 92.07 31.73 92.15 32.89 92.24 32.68 92.32 32.62 92.4 32.29 92.49 32.03 92.57 31.96 92.65 32.19 92.74 32.25 92.82 32.77 92.9 32.6 92.99 32.89 93.07 32.53 93.15 32.46 93.23 33.45 93.32 33.94 93.4 34.23 93.48 33.71 93.57 34.15 93.65 34.3 93.73 34.27 93.82 33.52 93.9 33.59 93.98 33.88 94.07 33.68 94.15 34.56 94.23 33.9 94.32 34.23 94.4 34.43 94.48 34.6 94.57 35.37 94.65 34.45 94.73 34.16 94.81 34.47 94.9 34.39 94.98 34.21 95.06 34.01 95.15 33.82 95.23 33.69 95.31 32.73 95.4 32.95 95.48 32.85 95.56 32.98 95.65 32.59 95.73 32.67 95.81 33.87 95.9 33.42 95.98 32.58 96.06 32.77 96.15 32.41 96.23 32.36 96.31 31.87 96.39 32.01 96.48 31.99 96.56 32.22 96.64 32.17 96.73 31.91 96.81 31.85 96.89 32.13 96.98 32.2 97.06 31.52 97.14 31.39 97.23 30.87 97.31 31.24 97.39 31.31 97.48 31.96 97.56 31.57 97.64 32.11 97.73 31.5 97.81 30.71 97.89 30.86 97.97 30.48 98.06 31.09 98.14 30.39 98.22 30.98 98.31 29.99 98.39 30.09 98.47 29.11 98.56 28.74 98.64 28.02 98.72 27.96 98.81 28.39 98.89 28.56 98.97 27.87 99.06 27.16 99.14 27.33 99.22 27.41 99.31 27.55 99.39 26.86 99.47 27.6 99.55 27.33 99.64 27.52 99.72 27.22 99.8 26.98 99.89 27.76 99.97 28.05 100.05 27.57 100.14 27.32 100.22 27.54 100.3 27.55 100.39 28.54 100.47 28.63 100.55 28.91 100.64 28.74 100.72 28.71 100.8 28.4 100.89 29.41 100.97 29.44 101.05 30.37 101.13 29.63 101.22 29.65 101.3 29.59 101.38 29.65 101.47 29.52 101.55 29.62 101.63 30.03 101.72 30.73 101.8 31.5 101.88 31.41 101.97 30.97 102.05 31.5 102.13 32.01 102.22 31.33 102.3 31.23 102.38 31.66 102.47 31.87 102.55 31.92 102.63 31.39 102.72 31.96 102.8 32.18 102.88 31.82 102.96 31.86 103.05 32.54 103.13 32.74 103.21 33.35 103.3 33.24 103.38 33.6 103.46 32.58 103.55 32.49 103.63 32.22 103.71 32.52 103.8 32.35 103.88 32.21 103.96 32.81 104.05 32.74 104.13 32.4 104.21 32.95 104.3 33.66 104.38 33.46 104.46 34.08 104.54 34.02 104.63 34.02 104.71 33.65 104.79 33.99 104.88 33.99 104.96 33.21 105.04 32.14 105.13 32.35 105.21 33.11 105.29 33.04 105.38 32.52 105.46 32.77 105.54 33.3 105.63 33.27 105.71 33.15 105.79 33.64 105.88 33.6 105.96 33.73 106.04 33.64 106.12 33.33 106.21 31.86 106.29 32.4 106.37 31.29 106.46 30.82 106.54 29.88 106.62 29.85 106.71 29.89 106.79 30.56 106.87 30.56 106.96 30.33 107.04 30.39 107.12 30.57 107.21 30.02 107.29 29.79 107.37 29.18 107.46 28.38 107.54 28.75 107.62 29.27 107.7 29.59 107.79 28.91 107.87 28.36 107.95 28.17 108.04 28.23 108.12 28.75 108.2 27.91 108.29 27.51 108.37 26.91 108.45 26.37 108.54 26.44 108.62 27.6 108.7 29.24 108.79 29.48 108.87 29.88 108.95 30.15 109.04 29.23 109.12 29.24 109.2 28.76 109.28 28.87 109.37 28.69 109.45 29.25 109.53 27.91 109.62 27.37 109.7 27.22 109.78 27.37 109.87 26.45 109.95 26.25 110.03 26.35 110.12 26.71 110.2 27.6 110.28 28.55 110.37 29.26 110.45 30.2 110.53 29.86 110.62 30.14 110.7 30.1 110.78 30.75 110.86 30.77 110.95 30.72 111.03 31.28 111.11 30.9 111.2 30.74 111.28 31.58 111.36 32.47 111.45 32.77 111.53 33.45 111.61 33.58 111.7 33.65 111.78 33.71 111.86 34.03 111.95 33.28 112.03 32.82 112.11 33.34 112.2 33.32 112.28 33.62 112.36 33.27 112.45 32.74 112.53 32.87 112.61 33.12 112.69 32.9 112.78 32.82 112.86 32.65 112.94 32.39 113.03 31.97 113.11 32.3 113.19 33.04 113.28 33.1 113.36 33.45 113.44 33.69 113.53 33.9 113.61 34.24 113.69 33.99 113.78 34.16 113.86 33.99 113.94 32.94 114.03 33.35 114.11 33.28 114.19 33.9 114.27 33.45 114.36 33.15 114.44 32.95 114.52 33.4 114.61 33.02 114.69 32.74 114.77 32.99 114.86 31.67 114.94 31.46 115.02 31.62 115.11 31.65 115.19 32.1 115.27 31.78 115.36 31.89 115.44 32.09 115.52 31.74 115.61 31.49 115.69 31.43 115.77 30.97 115.85 30.68 115.94 30.18 116.02 30.61 116.1 30.7 116.19 30.59 116.27 30.96 116.35 30.93 116.44 31.79 116.52 32.58 116.6 32.22 116.69 31.7 116.77 31.95 116.85 31.87 116.94 32.14 117.02 31.97 117.1 32.67 117.19 31.43 117.27 31.03 117.35 30.51 117.43 30.57 117.52 31.76 117.6 31.69 117.68 31.93 117.77 32.54 117.85 33.34 117.93 33.76 118.02 34.79 118.1 35.38 118.18 35.01 118.27 35.01 118.35 34.6 118.43 35.18 118.52 35.88 118.6 36.65 118.68 36.38 118.77 35.73 118.85 35.67 118.93 35.41 119.01 35.11 119.1 35.73 119.18 34.79 119.26 35.11 119.35 35.56 119.43 35.94 119.51 37.02 119.6 37.22 119.68 37.39 119.76 36.73 119.85 36.23 119.93 35.98 120.01 36.23 120.1 36.25 120.18 35.78 120.26 35.42 120.35 35.24 120.43 35.82 120.51 35.09 120.59 33.92 120.68 33.08 120.76 32.81 120.84 32.9 120.93 33.45 121.01 33.33 121.09 34.63 121.18 34.79 121.26 34.74 121.34 34.4 121.43 33.99 121.51 34.63 121.59 34.08 121.68 33.94 121.76 34.11 121.84 33.85 121.93 33.41 122.01 33.51 122.09 33.25 122.18 33.34 122.26 32.93 122.34 33.74 122.42 33.3 122.51 33.57 122.59 34.23 122.67 33.63 122.76 33.96 122.84 34.27 122.92 34.12 123.01 34.17 123.09 34.69 123.17 34.8 123.26 34.38 123.34 33.94 123.42 33.85 123.51 33.58 123.59 32.59 123.67 32.48 123.76 31.93 123.84 32.49 123.92 31.62 124 31.98 124.09 31.5 124.17 31.97 124.25 31.23 124.34 32.02 124.42 31.91 124.5 32.66 124.59 33.19 124.67 32.7 124.75 33.16 124.84 33.68 124.92 33.16 125 33.29 125.09 32.91 125.17 32.72 125.25 32.4 125.34 32.56 125.42 32.6 125.5 33.28 125.58 33.62\" class=\"geometry color_\" stroke=\"#D2B497\"/>\n",
|
||
" </g>\n",
|
||
" </g>\n",
|
||
" <g opacity=\"0\" class=\"guide zoomslider\" stroke=\"#000000\" stroke-opacity=\"0.000\" id=\"fig-0378e04b897742b597befd2e8e1c169e-element-15\">\n",
|
||
" <g fill=\"#EAEAEA\" stroke-width=\"0.3\" stroke-opacity=\"0\" stroke=\"#6A6A6A\" id=\"fig-0378e04b897742b597befd2e8e1c169e-element-16\">\n",
|
||
" <rect x=\"120.58\" y=\"8\" width=\"4\" height=\"4\"/>\n",
|
||
" <g class=\"button_logo\" fill=\"#6A6A6A\" id=\"fig-0378e04b897742b597befd2e8e1c169e-element-17\">\n",
|
||
" <path d=\"M121.38,9.6 L 122.18 9.6 122.18 8.8 122.98 8.8 122.98 9.6 123.78 9.6 123.78 10.4 122.98 10.4 122.98 11.2 122.18 11.2 122.18 10.4 121.38 10.4 z\"/>\n",
|
||
" </g>\n",
|
||
" </g>\n",
|
||
" <g fill=\"#EAEAEA\" id=\"fig-0378e04b897742b597befd2e8e1c169e-element-18\">\n",
|
||
" <rect x=\"101.08\" y=\"8\" width=\"19\" height=\"4\"/>\n",
|
||
" </g>\n",
|
||
" <g class=\"zoomslider_thumb\" fill=\"#6A6A6A\" id=\"fig-0378e04b897742b597befd2e8e1c169e-element-19\">\n",
|
||
" <rect x=\"109.58\" y=\"8\" width=\"2\" height=\"4\"/>\n",
|
||
" </g>\n",
|
||
" <g fill=\"#EAEAEA\" stroke-width=\"0.3\" stroke-opacity=\"0\" stroke=\"#6A6A6A\" id=\"fig-0378e04b897742b597befd2e8e1c169e-element-20\">\n",
|
||
" <rect x=\"96.58\" y=\"8\" width=\"4\" height=\"4\"/>\n",
|
||
" <g class=\"button_logo\" fill=\"#6A6A6A\" id=\"fig-0378e04b897742b597befd2e8e1c169e-element-21\">\n",
|
||
" <path d=\"M97.38,9.6 L 99.78 9.6 99.78 10.4 97.38 10.4 z\"/>\n",
|
||
" </g>\n",
|
||
" </g>\n",
|
||
" </g>\n",
|
||
" </g>\n",
|
||
" <g class=\"guide ylabels\" font-size=\"2.82\" font-family=\"'PT Sans Caption','Helvetica Neue','Helvetica',sans-serif\" fill=\"#6C606B\" id=\"fig-0378e04b897742b597befd2e8e1c169e-element-22\">\n",
|
||
" <text x=\"18.63\" y=\"178.87\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"1.0\">-250</text>\n",
|
||
" <text x=\"18.63\" y=\"159.78\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"1.0\">-200</text>\n",
|
||
" <text x=\"18.63\" y=\"140.68\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"1.0\">-150</text>\n",
|
||
" <text x=\"18.63\" y=\"121.58\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"1.0\">-100</text>\n",
|
||
" <text x=\"18.63\" y=\"102.49\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"1.0\">-50</text>\n",
|
||
" <text x=\"18.63\" y=\"83.39\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"visible\" gadfly:scale=\"1.0\">0</text>\n",
|
||
" <text x=\"18.63\" y=\"64.29\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"visible\" gadfly:scale=\"1.0\">50</text>\n",
|
||
" <text x=\"18.63\" y=\"45.19\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"visible\" gadfly:scale=\"1.0\">100</text>\n",
|
||
" <text x=\"18.63\" y=\"26.1\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"visible\" gadfly:scale=\"1.0\">150</text>\n",
|
||
" <text x=\"18.63\" y=\"7\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"visible\" gadfly:scale=\"1.0\">200</text>\n",
|
||
" <text x=\"18.63\" y=\"-12.1\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"1.0\">250</text>\n",
|
||
" <text x=\"18.63\" y=\"-31.19\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"1.0\">300</text>\n",
|
||
" <text x=\"18.63\" y=\"-50.29\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"1.0\">350</text>\n",
|
||
" <text x=\"18.63\" y=\"-69.39\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"1.0\">400</text>\n",
|
||
" <text x=\"18.63\" y=\"-88.49\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"1.0\">450</text>\n",
|
||
" <text x=\"18.63\" y=\"159.78\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">-200</text>\n",
|
||
" <text x=\"18.63\" y=\"155.96\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">-190</text>\n",
|
||
" <text x=\"18.63\" y=\"152.14\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">-180</text>\n",
|
||
" <text x=\"18.63\" y=\"148.32\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">-170</text>\n",
|
||
" <text x=\"18.63\" y=\"144.5\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">-160</text>\n",
|
||
" <text x=\"18.63\" y=\"140.68\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">-150</text>\n",
|
||
" <text x=\"18.63\" y=\"136.86\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">-140</text>\n",
|
||
" <text x=\"18.63\" y=\"133.04\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">-130</text>\n",
|
||
" <text x=\"18.63\" y=\"129.22\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">-120</text>\n",
|
||
" <text x=\"18.63\" y=\"125.4\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">-110</text>\n",
|
||
" <text x=\"18.63\" y=\"121.58\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">-100</text>\n",
|
||
" <text x=\"18.63\" y=\"117.76\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">-90</text>\n",
|
||
" <text x=\"18.63\" y=\"113.94\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">-80</text>\n",
|
||
" <text x=\"18.63\" y=\"110.12\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">-70</text>\n",
|
||
" <text x=\"18.63\" y=\"106.3\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">-60</text>\n",
|
||
" <text x=\"18.63\" y=\"102.49\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">-50</text>\n",
|
||
" <text x=\"18.63\" y=\"98.67\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">-40</text>\n",
|
||
" <text x=\"18.63\" y=\"94.85\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">-30</text>\n",
|
||
" <text x=\"18.63\" y=\"91.03\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">-20</text>\n",
|
||
" <text x=\"18.63\" y=\"87.21\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">-10</text>\n",
|
||
" <text x=\"18.63\" y=\"83.39\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">0</text>\n",
|
||
" <text x=\"18.63\" y=\"79.57\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">10</text>\n",
|
||
" <text x=\"18.63\" y=\"75.75\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">20</text>\n",
|
||
" <text x=\"18.63\" y=\"71.93\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">30</text>\n",
|
||
" <text x=\"18.63\" y=\"68.11\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">40</text>\n",
|
||
" <text x=\"18.63\" y=\"64.29\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">50</text>\n",
|
||
" <text x=\"18.63\" y=\"60.47\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">60</text>\n",
|
||
" <text x=\"18.63\" y=\"56.65\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">70</text>\n",
|
||
" <text x=\"18.63\" y=\"52.83\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">80</text>\n",
|
||
" <text x=\"18.63\" y=\"49.01\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">90</text>\n",
|
||
" <text x=\"18.63\" y=\"45.19\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">100</text>\n",
|
||
" <text x=\"18.63\" y=\"41.37\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">110</text>\n",
|
||
" <text x=\"18.63\" y=\"37.56\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">120</text>\n",
|
||
" <text x=\"18.63\" y=\"33.74\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">130</text>\n",
|
||
" <text x=\"18.63\" y=\"29.92\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">140</text>\n",
|
||
" <text x=\"18.63\" y=\"26.1\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">150</text>\n",
|
||
" <text x=\"18.63\" y=\"22.28\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">160</text>\n",
|
||
" <text x=\"18.63\" y=\"18.46\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">170</text>\n",
|
||
" <text x=\"18.63\" y=\"14.64\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">180</text>\n",
|
||
" <text x=\"18.63\" y=\"10.82\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">190</text>\n",
|
||
" <text x=\"18.63\" y=\"7\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">200</text>\n",
|
||
" <text x=\"18.63\" y=\"3.18\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">210</text>\n",
|
||
" <text x=\"18.63\" y=\"-0.64\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">220</text>\n",
|
||
" <text x=\"18.63\" y=\"-4.46\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">230</text>\n",
|
||
" <text x=\"18.63\" y=\"-8.28\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">240</text>\n",
|
||
" <text x=\"18.63\" y=\"-12.1\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">250</text>\n",
|
||
" <text x=\"18.63\" y=\"-15.92\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">260</text>\n",
|
||
" <text x=\"18.63\" y=\"-19.74\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">270</text>\n",
|
||
" <text x=\"18.63\" y=\"-23.56\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">280</text>\n",
|
||
" <text x=\"18.63\" y=\"-27.37\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">290</text>\n",
|
||
" <text x=\"18.63\" y=\"-31.19\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">300</text>\n",
|
||
" <text x=\"18.63\" y=\"-35.01\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">310</text>\n",
|
||
" <text x=\"18.63\" y=\"-38.83\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">320</text>\n",
|
||
" <text x=\"18.63\" y=\"-42.65\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">330</text>\n",
|
||
" <text x=\"18.63\" y=\"-46.47\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">340</text>\n",
|
||
" <text x=\"18.63\" y=\"-50.29\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">350</text>\n",
|
||
" <text x=\"18.63\" y=\"-54.11\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">360</text>\n",
|
||
" <text x=\"18.63\" y=\"-57.93\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">370</text>\n",
|
||
" <text x=\"18.63\" y=\"-61.75\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">380</text>\n",
|
||
" <text x=\"18.63\" y=\"-65.57\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">390</text>\n",
|
||
" <text x=\"18.63\" y=\"-69.39\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"10.0\">400</text>\n",
|
||
" <text x=\"18.63\" y=\"159.78\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"0.5\">-200</text>\n",
|
||
" <text x=\"18.63\" y=\"83.39\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"0.5\">0</text>\n",
|
||
" <text x=\"18.63\" y=\"7\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"0.5\">200</text>\n",
|
||
" <text x=\"18.63\" y=\"-69.39\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"0.5\">400</text>\n",
|
||
" <text x=\"18.63\" y=\"159.78\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">-200</text>\n",
|
||
" <text x=\"18.63\" y=\"152.14\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">-180</text>\n",
|
||
" <text x=\"18.63\" y=\"144.5\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">-160</text>\n",
|
||
" <text x=\"18.63\" y=\"136.86\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">-140</text>\n",
|
||
" <text x=\"18.63\" y=\"129.22\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">-120</text>\n",
|
||
" <text x=\"18.63\" y=\"121.58\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">-100</text>\n",
|
||
" <text x=\"18.63\" y=\"113.94\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">-80</text>\n",
|
||
" <text x=\"18.63\" y=\"106.3\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">-60</text>\n",
|
||
" <text x=\"18.63\" y=\"98.67\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">-40</text>\n",
|
||
" <text x=\"18.63\" y=\"91.03\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">-20</text>\n",
|
||
" <text x=\"18.63\" y=\"83.39\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">0</text>\n",
|
||
" <text x=\"18.63\" y=\"75.75\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">20</text>\n",
|
||
" <text x=\"18.63\" y=\"68.11\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">40</text>\n",
|
||
" <text x=\"18.63\" y=\"60.47\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">60</text>\n",
|
||
" <text x=\"18.63\" y=\"52.83\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">80</text>\n",
|
||
" <text x=\"18.63\" y=\"45.19\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">100</text>\n",
|
||
" <text x=\"18.63\" y=\"37.56\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">120</text>\n",
|
||
" <text x=\"18.63\" y=\"29.92\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">140</text>\n",
|
||
" <text x=\"18.63\" y=\"22.28\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">160</text>\n",
|
||
" <text x=\"18.63\" y=\"14.64\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">180</text>\n",
|
||
" <text x=\"18.63\" y=\"7\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">200</text>\n",
|
||
" <text x=\"18.63\" y=\"-0.64\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">220</text>\n",
|
||
" <text x=\"18.63\" y=\"-8.28\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">240</text>\n",
|
||
" <text x=\"18.63\" y=\"-15.92\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">260</text>\n",
|
||
" <text x=\"18.63\" y=\"-23.56\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">280</text>\n",
|
||
" <text x=\"18.63\" y=\"-31.19\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">300</text>\n",
|
||
" <text x=\"18.63\" y=\"-38.83\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">320</text>\n",
|
||
" <text x=\"18.63\" y=\"-46.47\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">340</text>\n",
|
||
" <text x=\"18.63\" y=\"-54.11\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">360</text>\n",
|
||
" <text x=\"18.63\" y=\"-61.75\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">380</text>\n",
|
||
" <text x=\"18.63\" y=\"-69.39\" text-anchor=\"end\" dy=\"0.35em\" visibility=\"hidden\" gadfly:scale=\"5.0\">400</text>\n",
|
||
" </g>\n",
|
||
" <g font-size=\"3.88\" font-family=\"'PT Sans','Helvetica Neue','Helvetica',sans-serif\" fill=\"#564A55\" stroke=\"#000000\" stroke-opacity=\"0.000\" id=\"fig-0378e04b897742b597befd2e8e1c169e-element-23\">\n",
|
||
" <text x=\"8.81\" y=\"43.19\" text-anchor=\"middle\" dy=\"0.35em\" transform=\"rotate(-90, 8.81, 45.19)\">Value</text>\n",
|
||
" </g>\n",
|
||
"</g>\n",
|
||
"<defs>\n",
|
||
"<clipPath id=\"fig-0378e04b897742b597befd2e8e1c169e-element-9\">\n",
|
||
" <path d=\"M19.63,5 L 127.58 5 127.58 85.39 19.63 85.39\" />\n",
|
||
"</clipPath\n",
|
||
"></defs>\n",
|
||
"<script> <![CDATA[\n",
|
||
"(function(N){var k=/[\\.\\/]/,L=/\\s*,\\s*/,C=function(a,d){return a-d},a,v,y={n:{}},M=function(){for(var a=0,d=this.length;a<d;a++)if(\"undefined\"!=typeof this[a])return this[a]},A=function(){for(var a=this.length;--a;)if(\"undefined\"!=typeof this[a])return this[a]},w=function(k,d){k=String(k);var f=v,n=Array.prototype.slice.call(arguments,2),u=w.listeners(k),p=0,b,q=[],e={},l=[],r=a;l.firstDefined=M;l.lastDefined=A;a=k;for(var s=v=0,x=u.length;s<x;s++)\"zIndex\"in u[s]&&(q.push(u[s].zIndex),0>u[s].zIndex&&\n",
|
||
"(e[u[s].zIndex]=u[s]));for(q.sort(C);0>q[p];)if(b=e[q[p++] ],l.push(b.apply(d,n)),v)return v=f,l;for(s=0;s<x;s++)if(b=u[s],\"zIndex\"in b)if(b.zIndex==q[p]){l.push(b.apply(d,n));if(v)break;do if(p++,(b=e[q[p] ])&&l.push(b.apply(d,n)),v)break;while(b)}else e[b.zIndex]=b;else if(l.push(b.apply(d,n)),v)break;v=f;a=r;return l};w._events=y;w.listeners=function(a){a=a.split(k);var d=y,f,n,u,p,b,q,e,l=[d],r=[];u=0;for(p=a.length;u<p;u++){e=[];b=0;for(q=l.length;b<q;b++)for(d=l[b].n,f=[d[a[u] ],d[\"*\"] ],n=2;n--;)if(d=\n",
|
||
"f[n])e.push(d),r=r.concat(d.f||[]);l=e}return r};w.on=function(a,d){a=String(a);if(\"function\"!=typeof d)return function(){};for(var f=a.split(L),n=0,u=f.length;n<u;n++)(function(a){a=a.split(k);for(var b=y,f,e=0,l=a.length;e<l;e++)b=b.n,b=b.hasOwnProperty(a[e])&&b[a[e] ]||(b[a[e] ]={n:{}});b.f=b.f||[];e=0;for(l=b.f.length;e<l;e++)if(b.f[e]==d){f=!0;break}!f&&b.f.push(d)})(f[n]);return function(a){+a==+a&&(d.zIndex=+a)}};w.f=function(a){var d=[].slice.call(arguments,1);return function(){w.apply(null,\n",
|
||
"[a,null].concat(d).concat([].slice.call(arguments,0)))}};w.stop=function(){v=1};w.nt=function(k){return k?(new RegExp(\"(?:\\\\.|\\\\/|^)\"+k+\"(?:\\\\.|\\\\/|$)\")).test(a):a};w.nts=function(){return a.split(k)};w.off=w.unbind=function(a,d){if(a){var f=a.split(L);if(1<f.length)for(var n=0,u=f.length;n<u;n++)w.off(f[n],d);else{for(var f=a.split(k),p,b,q,e,l=[y],n=0,u=f.length;n<u;n++)for(e=0;e<l.length;e+=q.length-2){q=[e,1];p=l[e].n;if(\"*\"!=f[n])p[f[n] ]&&q.push(p[f[n] ]);else for(b in p)p.hasOwnProperty(b)&&\n",
|
||
"q.push(p[b]);l.splice.apply(l,q)}n=0;for(u=l.length;n<u;n++)for(p=l[n];p.n;){if(d){if(p.f){e=0;for(f=p.f.length;e<f;e++)if(p.f[e]==d){p.f.splice(e,1);break}!p.f.length&&delete p.f}for(b in p.n)if(p.n.hasOwnProperty(b)&&p.n[b].f){q=p.n[b].f;e=0;for(f=q.length;e<f;e++)if(q[e]==d){q.splice(e,1);break}!q.length&&delete p.n[b].f}}else for(b in delete p.f,p.n)p.n.hasOwnProperty(b)&&p.n[b].f&&delete p.n[b].f;p=p.n}}}else w._events=y={n:{}}};w.once=function(a,d){var f=function(){w.unbind(a,f);return d.apply(this,\n",
|
||
"arguments)};return w.on(a,f)};w.version=\"0.4.2\";w.toString=function(){return\"You are running Eve 0.4.2\"};\"undefined\"!=typeof module&&module.exports?module.exports=w:\"function\"===typeof define&&define.amd?define(\"eve\",[],function(){return w}):N.eve=w})(this);\n",
|
||
"(function(N,k){\"function\"===typeof define&&define.amd?define(\"Snap.svg\",[\"eve\"],function(L){return k(N,L)}):k(N,N.eve)})(this,function(N,k){var L=function(a){var k={},y=N.requestAnimationFrame||N.webkitRequestAnimationFrame||N.mozRequestAnimationFrame||N.oRequestAnimationFrame||N.msRequestAnimationFrame||function(a){setTimeout(a,16)},M=Array.isArray||function(a){return a instanceof Array||\"[object Array]\"==Object.prototype.toString.call(a)},A=0,w=\"M\"+(+new Date).toString(36),z=function(a){if(null==\n",
|
||
"a)return this.s;var b=this.s-a;this.b+=this.dur*b;this.B+=this.dur*b;this.s=a},d=function(a){if(null==a)return this.spd;this.spd=a},f=function(a){if(null==a)return this.dur;this.s=this.s*a/this.dur;this.dur=a},n=function(){delete k[this.id];this.update();a(\"mina.stop.\"+this.id,this)},u=function(){this.pdif||(delete k[this.id],this.update(),this.pdif=this.get()-this.b)},p=function(){this.pdif&&(this.b=this.get()-this.pdif,delete this.pdif,k[this.id]=this)},b=function(){var a;if(M(this.start)){a=[];\n",
|
||
"for(var b=0,e=this.start.length;b<e;b++)a[b]=+this.start[b]+(this.end[b]-this.start[b])*this.easing(this.s)}else a=+this.start+(this.end-this.start)*this.easing(this.s);this.set(a)},q=function(){var l=0,b;for(b in k)if(k.hasOwnProperty(b)){var e=k[b],f=e.get();l++;e.s=(f-e.b)/(e.dur/e.spd);1<=e.s&&(delete k[b],e.s=1,l--,function(b){setTimeout(function(){a(\"mina.finish.\"+b.id,b)})}(e));e.update()}l&&y(q)},e=function(a,r,s,x,G,h,J){a={id:w+(A++).toString(36),start:a,end:r,b:s,s:0,dur:x-s,spd:1,get:G,\n",
|
||
"set:h,easing:J||e.linear,status:z,speed:d,duration:f,stop:n,pause:u,resume:p,update:b};k[a.id]=a;r=0;for(var K in k)if(k.hasOwnProperty(K)&&(r++,2==r))break;1==r&&y(q);return a};e.time=Date.now||function(){return+new Date};e.getById=function(a){return k[a]||null};e.linear=function(a){return a};e.easeout=function(a){return Math.pow(a,1.7)};e.easein=function(a){return Math.pow(a,0.48)};e.easeinout=function(a){if(1==a)return 1;if(0==a)return 0;var b=0.48-a/1.04,e=Math.sqrt(0.1734+b*b);a=e-b;a=Math.pow(Math.abs(a),\n",
|
||
"1/3)*(0>a?-1:1);b=-e-b;b=Math.pow(Math.abs(b),1/3)*(0>b?-1:1);a=a+b+0.5;return 3*(1-a)*a*a+a*a*a};e.backin=function(a){return 1==a?1:a*a*(2.70158*a-1.70158)};e.backout=function(a){if(0==a)return 0;a-=1;return a*a*(2.70158*a+1.70158)+1};e.elastic=function(a){return a==!!a?a:Math.pow(2,-10*a)*Math.sin(2*(a-0.075)*Math.PI/0.3)+1};e.bounce=function(a){a<1/2.75?a*=7.5625*a:a<2/2.75?(a-=1.5/2.75,a=7.5625*a*a+0.75):a<2.5/2.75?(a-=2.25/2.75,a=7.5625*a*a+0.9375):(a-=2.625/2.75,a=7.5625*a*a+0.984375);return a};\n",
|
||
"return N.mina=e}(\"undefined\"==typeof k?function(){}:k),C=function(){function a(c,t){if(c){if(c.tagName)return x(c);if(y(c,\"array\")&&a.set)return a.set.apply(a,c);if(c instanceof e)return c;if(null==t)return c=G.doc.querySelector(c),x(c)}return new s(null==c?\"100%\":c,null==t?\"100%\":t)}function v(c,a){if(a){\"#text\"==c&&(c=G.doc.createTextNode(a.text||\"\"));\"string\"==typeof c&&(c=v(c));if(\"string\"==typeof a)return\"xlink:\"==a.substring(0,6)?c.getAttributeNS(m,a.substring(6)):\"xml:\"==a.substring(0,4)?c.getAttributeNS(la,\n",
|
||
"a.substring(4)):c.getAttribute(a);for(var da in a)if(a[h](da)){var b=J(a[da]);b?\"xlink:\"==da.substring(0,6)?c.setAttributeNS(m,da.substring(6),b):\"xml:\"==da.substring(0,4)?c.setAttributeNS(la,da.substring(4),b):c.setAttribute(da,b):c.removeAttribute(da)}}else c=G.doc.createElementNS(la,c);return c}function y(c,a){a=J.prototype.toLowerCase.call(a);return\"finite\"==a?isFinite(c):\"array\"==a&&(c instanceof Array||Array.isArray&&Array.isArray(c))?!0:\"null\"==a&&null===c||a==typeof c&&null!==c||\"object\"==\n",
|
||
"a&&c===Object(c)||$.call(c).slice(8,-1).toLowerCase()==a}function M(c){if(\"function\"==typeof c||Object(c)!==c)return c;var a=new c.constructor,b;for(b in c)c[h](b)&&(a[b]=M(c[b]));return a}function A(c,a,b){function m(){var e=Array.prototype.slice.call(arguments,0),f=e.join(\"\\u2400\"),d=m.cache=m.cache||{},l=m.count=m.count||[];if(d[h](f)){a:for(var e=l,l=f,B=0,H=e.length;B<H;B++)if(e[B]===l){e.push(e.splice(B,1)[0]);break a}return b?b(d[f]):d[f]}1E3<=l.length&&delete d[l.shift()];l.push(f);d[f]=c.apply(a,\n",
|
||
"e);return b?b(d[f]):d[f]}return m}function w(c,a,b,m,e,f){return null==e?(c-=b,a-=m,c||a?(180*I.atan2(-a,-c)/C+540)%360:0):w(c,a,e,f)-w(b,m,e,f)}function z(c){return c%360*C/180}function d(c){var a=[];c=c.replace(/(?:^|\\s)(\\w+)\\(([^)]+)\\)/g,function(c,b,m){m=m.split(/\\s*,\\s*|\\s+/);\"rotate\"==b&&1==m.length&&m.push(0,0);\"scale\"==b&&(2<m.length?m=m.slice(0,2):2==m.length&&m.push(0,0),1==m.length&&m.push(m[0],0,0));\"skewX\"==b?a.push([\"m\",1,0,I.tan(z(m[0])),1,0,0]):\"skewY\"==b?a.push([\"m\",1,I.tan(z(m[0])),\n",
|
||
"0,1,0,0]):a.push([b.charAt(0)].concat(m));return c});return a}function f(c,t){var b=O(c),m=new a.Matrix;if(b)for(var e=0,f=b.length;e<f;e++){var h=b[e],d=h.length,B=J(h[0]).toLowerCase(),H=h[0]!=B,l=H?m.invert():0,E;\"t\"==B&&2==d?m.translate(h[1],0):\"t\"==B&&3==d?H?(d=l.x(0,0),B=l.y(0,0),H=l.x(h[1],h[2]),l=l.y(h[1],h[2]),m.translate(H-d,l-B)):m.translate(h[1],h[2]):\"r\"==B?2==d?(E=E||t,m.rotate(h[1],E.x+E.width/2,E.y+E.height/2)):4==d&&(H?(H=l.x(h[2],h[3]),l=l.y(h[2],h[3]),m.rotate(h[1],H,l)):m.rotate(h[1],\n",
|
||
"h[2],h[3])):\"s\"==B?2==d||3==d?(E=E||t,m.scale(h[1],h[d-1],E.x+E.width/2,E.y+E.height/2)):4==d?H?(H=l.x(h[2],h[3]),l=l.y(h[2],h[3]),m.scale(h[1],h[1],H,l)):m.scale(h[1],h[1],h[2],h[3]):5==d&&(H?(H=l.x(h[3],h[4]),l=l.y(h[3],h[4]),m.scale(h[1],h[2],H,l)):m.scale(h[1],h[2],h[3],h[4])):\"m\"==B&&7==d&&m.add(h[1],h[2],h[3],h[4],h[5],h[6])}return m}function n(c,t){if(null==t){var m=!0;t=\"linearGradient\"==c.type||\"radialGradient\"==c.type?c.node.getAttribute(\"gradientTransform\"):\"pattern\"==c.type?c.node.getAttribute(\"patternTransform\"):\n",
|
||
"c.node.getAttribute(\"transform\");if(!t)return new a.Matrix;t=d(t)}else t=a._.rgTransform.test(t)?J(t).replace(/\\.{3}|\\u2026/g,c._.transform||aa):d(t),y(t,\"array\")&&(t=a.path?a.path.toString.call(t):J(t)),c._.transform=t;var b=f(t,c.getBBox(1));if(m)return b;c.matrix=b}function u(c){c=c.node.ownerSVGElement&&x(c.node.ownerSVGElement)||c.node.parentNode&&x(c.node.parentNode)||a.select(\"svg\")||a(0,0);var t=c.select(\"defs\"),t=null==t?!1:t.node;t||(t=r(\"defs\",c.node).node);return t}function p(c){return c.node.ownerSVGElement&&\n",
|
||
"x(c.node.ownerSVGElement)||a.select(\"svg\")}function b(c,a,m){function b(c){if(null==c)return aa;if(c==+c)return c;v(B,{width:c});try{return B.getBBox().width}catch(a){return 0}}function h(c){if(null==c)return aa;if(c==+c)return c;v(B,{height:c});try{return B.getBBox().height}catch(a){return 0}}function e(b,B){null==a?d[b]=B(c.attr(b)||0):b==a&&(d=B(null==m?c.attr(b)||0:m))}var f=p(c).node,d={},B=f.querySelector(\".svg---mgr\");B||(B=v(\"rect\"),v(B,{x:-9E9,y:-9E9,width:10,height:10,\"class\":\"svg---mgr\",\n",
|
||
"fill:\"none\"}),f.appendChild(B));switch(c.type){case \"rect\":e(\"rx\",b),e(\"ry\",h);case \"image\":e(\"width\",b),e(\"height\",h);case \"text\":e(\"x\",b);e(\"y\",h);break;case \"circle\":e(\"cx\",b);e(\"cy\",h);e(\"r\",b);break;case \"ellipse\":e(\"cx\",b);e(\"cy\",h);e(\"rx\",b);e(\"ry\",h);break;case \"line\":e(\"x1\",b);e(\"x2\",b);e(\"y1\",h);e(\"y2\",h);break;case \"marker\":e(\"refX\",b);e(\"markerWidth\",b);e(\"refY\",h);e(\"markerHeight\",h);break;case \"radialGradient\":e(\"fx\",b);e(\"fy\",h);break;case \"tspan\":e(\"dx\",b);e(\"dy\",h);break;default:e(a,\n",
|
||
"b)}f.removeChild(B);return d}function q(c){y(c,\"array\")||(c=Array.prototype.slice.call(arguments,0));for(var a=0,b=0,m=this.node;this[a];)delete this[a++];for(a=0;a<c.length;a++)\"set\"==c[a].type?c[a].forEach(function(c){m.appendChild(c.node)}):m.appendChild(c[a].node);for(var h=m.childNodes,a=0;a<h.length;a++)this[b++]=x(h[a]);return this}function e(c){if(c.snap in E)return E[c.snap];var a=this.id=V(),b;try{b=c.ownerSVGElement}catch(m){}this.node=c;b&&(this.paper=new s(b));this.type=c.tagName;this.anims=\n",
|
||
"{};this._={transform:[]};c.snap=a;E[a]=this;\"g\"==this.type&&(this.add=q);if(this.type in{g:1,mask:1,pattern:1})for(var e in s.prototype)s.prototype[h](e)&&(this[e]=s.prototype[e])}function l(c){this.node=c}function r(c,a){var b=v(c);a.appendChild(b);return x(b)}function s(c,a){var b,m,f,d=s.prototype;if(c&&\"svg\"==c.tagName){if(c.snap in E)return E[c.snap];var l=c.ownerDocument;b=new e(c);m=c.getElementsByTagName(\"desc\")[0];f=c.getElementsByTagName(\"defs\")[0];m||(m=v(\"desc\"),m.appendChild(l.createTextNode(\"Created with Snap\")),\n",
|
||
"b.node.appendChild(m));f||(f=v(\"defs\"),b.node.appendChild(f));b.defs=f;for(var ca in d)d[h](ca)&&(b[ca]=d[ca]);b.paper=b.root=b}else b=r(\"svg\",G.doc.body),v(b.node,{height:a,version:1.1,width:c,xmlns:la});return b}function x(c){return!c||c instanceof e||c instanceof l?c:c.tagName&&\"svg\"==c.tagName.toLowerCase()?new s(c):c.tagName&&\"object\"==c.tagName.toLowerCase()&&\"image/svg+xml\"==c.type?new s(c.contentDocument.getElementsByTagName(\"svg\")[0]):new e(c)}a.version=\"0.3.0\";a.toString=function(){return\"Snap v\"+\n",
|
||
"this.version};a._={};var G={win:N,doc:N.document};a._.glob=G;var h=\"hasOwnProperty\",J=String,K=parseFloat,U=parseInt,I=Math,P=I.max,Q=I.min,Y=I.abs,C=I.PI,aa=\"\",$=Object.prototype.toString,F=/^\\s*((#[a-f\\d]{6})|(#[a-f\\d]{3})|rgba?\\(\\s*([\\d\\.]+%?\\s*,\\s*[\\d\\.]+%?\\s*,\\s*[\\d\\.]+%?(?:\\s*,\\s*[\\d\\.]+%?)?)\\s*\\)|hsba?\\(\\s*([\\d\\.]+(?:deg|\\xb0|%)?\\s*,\\s*[\\d\\.]+%?\\s*,\\s*[\\d\\.]+(?:%?\\s*,\\s*[\\d\\.]+)?%?)\\s*\\)|hsla?\\(\\s*([\\d\\.]+(?:deg|\\xb0|%)?\\s*,\\s*[\\d\\.]+%?\\s*,\\s*[\\d\\.]+(?:%?\\s*,\\s*[\\d\\.]+)?%?)\\s*\\))\\s*$/i;a._.separator=\n",
|
||
"RegExp(\"[,\\t\\n\\x0B\\f\\r \\u00a0\\u1680\\u180e\\u2000\\u2001\\u2002\\u2003\\u2004\\u2005\\u2006\\u2007\\u2008\\u2009\\u200a\\u202f\\u205f\\u3000\\u2028\\u2029]+\");var S=RegExp(\"[\\t\\n\\x0B\\f\\r \\u00a0\\u1680\\u180e\\u2000\\u2001\\u2002\\u2003\\u2004\\u2005\\u2006\\u2007\\u2008\\u2009\\u200a\\u202f\\u205f\\u3000\\u2028\\u2029]*,[\\t\\n\\x0B\\f\\r \\u00a0\\u1680\\u180e\\u2000\\u2001\\u2002\\u2003\\u2004\\u2005\\u2006\\u2007\\u2008\\u2009\\u200a\\u202f\\u205f\\u3000\\u2028\\u2029]*\"),X={hs:1,rg:1},W=RegExp(\"([a-z])[\\t\\n\\x0B\\f\\r \\u00a0\\u1680\\u180e\\u2000\\u2001\\u2002\\u2003\\u2004\\u2005\\u2006\\u2007\\u2008\\u2009\\u200a\\u202f\\u205f\\u3000\\u2028\\u2029,]*((-?\\\\d*\\\\.?\\\\d*(?:e[\\\\-+]?\\\\d+)?[\\t\\n\\x0B\\f\\r \\u00a0\\u1680\\u180e\\u2000\\u2001\\u2002\\u2003\\u2004\\u2005\\u2006\\u2007\\u2008\\u2009\\u200a\\u202f\\u205f\\u3000\\u2028\\u2029]*,?[\\t\\n\\x0B\\f\\r \\u00a0\\u1680\\u180e\\u2000\\u2001\\u2002\\u2003\\u2004\\u2005\\u2006\\u2007\\u2008\\u2009\\u200a\\u202f\\u205f\\u3000\\u2028\\u2029]*)+)\",\n",
|
||
"\"ig\"),ma=RegExp(\"([rstm])[\\t\\n\\x0B\\f\\r \\u00a0\\u1680\\u180e\\u2000\\u2001\\u2002\\u2003\\u2004\\u2005\\u2006\\u2007\\u2008\\u2009\\u200a\\u202f\\u205f\\u3000\\u2028\\u2029,]*((-?\\\\d*\\\\.?\\\\d*(?:e[\\\\-+]?\\\\d+)?[\\t\\n\\x0B\\f\\r \\u00a0\\u1680\\u180e\\u2000\\u2001\\u2002\\u2003\\u2004\\u2005\\u2006\\u2007\\u2008\\u2009\\u200a\\u202f\\u205f\\u3000\\u2028\\u2029]*,?[\\t\\n\\x0B\\f\\r \\u00a0\\u1680\\u180e\\u2000\\u2001\\u2002\\u2003\\u2004\\u2005\\u2006\\u2007\\u2008\\u2009\\u200a\\u202f\\u205f\\u3000\\u2028\\u2029]*)+)\",\"ig\"),Z=RegExp(\"(-?\\\\d*\\\\.?\\\\d*(?:e[\\\\-+]?\\\\d+)?)[\\t\\n\\x0B\\f\\r \\u00a0\\u1680\\u180e\\u2000\\u2001\\u2002\\u2003\\u2004\\u2005\\u2006\\u2007\\u2008\\u2009\\u200a\\u202f\\u205f\\u3000\\u2028\\u2029]*,?[\\t\\n\\x0B\\f\\r \\u00a0\\u1680\\u180e\\u2000\\u2001\\u2002\\u2003\\u2004\\u2005\\u2006\\u2007\\u2008\\u2009\\u200a\\u202f\\u205f\\u3000\\u2028\\u2029]*\",\n",
|
||
"\"ig\"),na=0,ba=\"S\"+(+new Date).toString(36),V=function(){return ba+(na++).toString(36)},m=\"http://www.w3.org/1999/xlink\",la=\"http://www.w3.org/2000/svg\",E={},ca=a.url=function(c){return\"url('#\"+c+\"')\"};a._.$=v;a._.id=V;a.format=function(){var c=/\\{([^\\}]+)\\}/g,a=/(?:(?:^|\\.)(.+?)(?=\\[|\\.|$|\\()|\\[('|\")(.+?)\\2\\])(\\(\\))?/g,b=function(c,b,m){var h=m;b.replace(a,function(c,a,b,m,t){a=a||m;h&&(a in h&&(h=h[a]),\"function\"==typeof h&&t&&(h=h()))});return h=(null==h||h==m?c:h)+\"\"};return function(a,m){return J(a).replace(c,\n",
|
||
"function(c,a){return b(c,a,m)})}}();a._.clone=M;a._.cacher=A;a.rad=z;a.deg=function(c){return 180*c/C%360};a.angle=w;a.is=y;a.snapTo=function(c,a,b){b=y(b,\"finite\")?b:10;if(y(c,\"array\"))for(var m=c.length;m--;){if(Y(c[m]-a)<=b)return c[m]}else{c=+c;m=a%c;if(m<b)return a-m;if(m>c-b)return a-m+c}return a};a.getRGB=A(function(c){if(!c||(c=J(c)).indexOf(\"-\")+1)return{r:-1,g:-1,b:-1,hex:\"none\",error:1,toString:ka};if(\"none\"==c)return{r:-1,g:-1,b:-1,hex:\"none\",toString:ka};!X[h](c.toLowerCase().substring(0,\n",
|
||
"2))&&\"#\"!=c.charAt()&&(c=T(c));if(!c)return{r:-1,g:-1,b:-1,hex:\"none\",error:1,toString:ka};var b,m,e,f,d;if(c=c.match(F)){c[2]&&(e=U(c[2].substring(5),16),m=U(c[2].substring(3,5),16),b=U(c[2].substring(1,3),16));c[3]&&(e=U((d=c[3].charAt(3))+d,16),m=U((d=c[3].charAt(2))+d,16),b=U((d=c[3].charAt(1))+d,16));c[4]&&(d=c[4].split(S),b=K(d[0]),\"%\"==d[0].slice(-1)&&(b*=2.55),m=K(d[1]),\"%\"==d[1].slice(-1)&&(m*=2.55),e=K(d[2]),\"%\"==d[2].slice(-1)&&(e*=2.55),\"rgba\"==c[1].toLowerCase().slice(0,4)&&(f=K(d[3])),\n",
|
||
"d[3]&&\"%\"==d[3].slice(-1)&&(f/=100));if(c[5])return d=c[5].split(S),b=K(d[0]),\"%\"==d[0].slice(-1)&&(b/=100),m=K(d[1]),\"%\"==d[1].slice(-1)&&(m/=100),e=K(d[2]),\"%\"==d[2].slice(-1)&&(e/=100),\"deg\"!=d[0].slice(-3)&&\"\\u00b0\"!=d[0].slice(-1)||(b/=360),\"hsba\"==c[1].toLowerCase().slice(0,4)&&(f=K(d[3])),d[3]&&\"%\"==d[3].slice(-1)&&(f/=100),a.hsb2rgb(b,m,e,f);if(c[6])return d=c[6].split(S),b=K(d[0]),\"%\"==d[0].slice(-1)&&(b/=100),m=K(d[1]),\"%\"==d[1].slice(-1)&&(m/=100),e=K(d[2]),\"%\"==d[2].slice(-1)&&(e/=100),\n",
|
||
"\"deg\"!=d[0].slice(-3)&&\"\\u00b0\"!=d[0].slice(-1)||(b/=360),\"hsla\"==c[1].toLowerCase().slice(0,4)&&(f=K(d[3])),d[3]&&\"%\"==d[3].slice(-1)&&(f/=100),a.hsl2rgb(b,m,e,f);b=Q(I.round(b),255);m=Q(I.round(m),255);e=Q(I.round(e),255);f=Q(P(f,0),1);c={r:b,g:m,b:e,toString:ka};c.hex=\"#\"+(16777216|e|m<<8|b<<16).toString(16).slice(1);c.opacity=y(f,\"finite\")?f:1;return c}return{r:-1,g:-1,b:-1,hex:\"none\",error:1,toString:ka}},a);a.hsb=A(function(c,b,m){return a.hsb2rgb(c,b,m).hex});a.hsl=A(function(c,b,m){return a.hsl2rgb(c,\n",
|
||
"b,m).hex});a.rgb=A(function(c,a,b,m){if(y(m,\"finite\")){var e=I.round;return\"rgba(\"+[e(c),e(a),e(b),+m.toFixed(2)]+\")\"}return\"#\"+(16777216|b|a<<8|c<<16).toString(16).slice(1)});var T=function(c){var a=G.doc.getElementsByTagName(\"head\")[0]||G.doc.getElementsByTagName(\"svg\")[0];T=A(function(c){if(\"red\"==c.toLowerCase())return\"rgb(255, 0, 0)\";a.style.color=\"rgb(255, 0, 0)\";a.style.color=c;c=G.doc.defaultView.getComputedStyle(a,aa).getPropertyValue(\"color\");return\"rgb(255, 0, 0)\"==c?null:c});return T(c)},\n",
|
||
"qa=function(){return\"hsb(\"+[this.h,this.s,this.b]+\")\"},ra=function(){return\"hsl(\"+[this.h,this.s,this.l]+\")\"},ka=function(){return 1==this.opacity||null==this.opacity?this.hex:\"rgba(\"+[this.r,this.g,this.b,this.opacity]+\")\"},D=function(c,b,m){null==b&&y(c,\"object\")&&\"r\"in c&&\"g\"in c&&\"b\"in c&&(m=c.b,b=c.g,c=c.r);null==b&&y(c,string)&&(m=a.getRGB(c),c=m.r,b=m.g,m=m.b);if(1<c||1<b||1<m)c/=255,b/=255,m/=255;return[c,b,m]},oa=function(c,b,m,e){c=I.round(255*c);b=I.round(255*b);m=I.round(255*m);c={r:c,\n",
|
||
"g:b,b:m,opacity:y(e,\"finite\")?e:1,hex:a.rgb(c,b,m),toString:ka};y(e,\"finite\")&&(c.opacity=e);return c};a.color=function(c){var b;y(c,\"object\")&&\"h\"in c&&\"s\"in c&&\"b\"in c?(b=a.hsb2rgb(c),c.r=b.r,c.g=b.g,c.b=b.b,c.opacity=1,c.hex=b.hex):y(c,\"object\")&&\"h\"in c&&\"s\"in c&&\"l\"in c?(b=a.hsl2rgb(c),c.r=b.r,c.g=b.g,c.b=b.b,c.opacity=1,c.hex=b.hex):(y(c,\"string\")&&(c=a.getRGB(c)),y(c,\"object\")&&\"r\"in c&&\"g\"in c&&\"b\"in c&&!(\"error\"in c)?(b=a.rgb2hsl(c),c.h=b.h,c.s=b.s,c.l=b.l,b=a.rgb2hsb(c),c.v=b.b):(c={hex:\"none\"},\n",
|
||
"c.r=c.g=c.b=c.h=c.s=c.v=c.l=-1,c.error=1));c.toString=ka;return c};a.hsb2rgb=function(c,a,b,m){y(c,\"object\")&&\"h\"in c&&\"s\"in c&&\"b\"in c&&(b=c.b,a=c.s,c=c.h,m=c.o);var e,h,d;c=360*c%360/60;d=b*a;a=d*(1-Y(c%2-1));b=e=h=b-d;c=~~c;b+=[d,a,0,0,a,d][c];e+=[a,d,d,a,0,0][c];h+=[0,0,a,d,d,a][c];return oa(b,e,h,m)};a.hsl2rgb=function(c,a,b,m){y(c,\"object\")&&\"h\"in c&&\"s\"in c&&\"l\"in c&&(b=c.l,a=c.s,c=c.h);if(1<c||1<a||1<b)c/=360,a/=100,b/=100;var e,h,d;c=360*c%360/60;d=2*a*(0.5>b?b:1-b);a=d*(1-Y(c%2-1));b=e=\n",
|
||
"h=b-d/2;c=~~c;b+=[d,a,0,0,a,d][c];e+=[a,d,d,a,0,0][c];h+=[0,0,a,d,d,a][c];return oa(b,e,h,m)};a.rgb2hsb=function(c,a,b){b=D(c,a,b);c=b[0];a=b[1];b=b[2];var m,e;m=P(c,a,b);e=m-Q(c,a,b);c=((0==e?0:m==c?(a-b)/e:m==a?(b-c)/e+2:(c-a)/e+4)+360)%6*60/360;return{h:c,s:0==e?0:e/m,b:m,toString:qa}};a.rgb2hsl=function(c,a,b){b=D(c,a,b);c=b[0];a=b[1];b=b[2];var m,e,h;m=P(c,a,b);e=Q(c,a,b);h=m-e;c=((0==h?0:m==c?(a-b)/h:m==a?(b-c)/h+2:(c-a)/h+4)+360)%6*60/360;m=(m+e)/2;return{h:c,s:0==h?0:0.5>m?h/(2*m):h/(2-2*\n",
|
||
"m),l:m,toString:ra}};a.parsePathString=function(c){if(!c)return null;var b=a.path(c);if(b.arr)return a.path.clone(b.arr);var m={a:7,c:6,o:2,h:1,l:2,m:2,r:4,q:4,s:4,t:2,v:1,u:3,z:0},e=[];y(c,\"array\")&&y(c[0],\"array\")&&(e=a.path.clone(c));e.length||J(c).replace(W,function(c,a,b){var h=[];c=a.toLowerCase();b.replace(Z,function(c,a){a&&h.push(+a)});\"m\"==c&&2<h.length&&(e.push([a].concat(h.splice(0,2))),c=\"l\",a=\"m\"==a?\"l\":\"L\");\"o\"==c&&1==h.length&&e.push([a,h[0] ]);if(\"r\"==c)e.push([a].concat(h));else for(;h.length>=\n",
|
||
"m[c]&&(e.push([a].concat(h.splice(0,m[c]))),m[c]););});e.toString=a.path.toString;b.arr=a.path.clone(e);return e};var O=a.parseTransformString=function(c){if(!c)return null;var b=[];y(c,\"array\")&&y(c[0],\"array\")&&(b=a.path.clone(c));b.length||J(c).replace(ma,function(c,a,m){var e=[];a.toLowerCase();m.replace(Z,function(c,a){a&&e.push(+a)});b.push([a].concat(e))});b.toString=a.path.toString;return b};a._.svgTransform2string=d;a._.rgTransform=RegExp(\"^[a-z][\\t\\n\\x0B\\f\\r \\u00a0\\u1680\\u180e\\u2000\\u2001\\u2002\\u2003\\u2004\\u2005\\u2006\\u2007\\u2008\\u2009\\u200a\\u202f\\u205f\\u3000\\u2028\\u2029]*-?\\\\.?\\\\d\",\n",
|
||
"\"i\");a._.transform2matrix=f;a._unit2px=b;a._.getSomeDefs=u;a._.getSomeSVG=p;a.select=function(c){return x(G.doc.querySelector(c))};a.selectAll=function(c){c=G.doc.querySelectorAll(c);for(var b=(a.set||Array)(),m=0;m<c.length;m++)b.push(x(c[m]));return b};setInterval(function(){for(var c in E)if(E[h](c)){var a=E[c],b=a.node;(\"svg\"!=a.type&&!b.ownerSVGElement||\"svg\"==a.type&&(!b.parentNode||\"ownerSVGElement\"in b.parentNode&&!b.ownerSVGElement))&&delete E[c]}},1E4);(function(c){function m(c){function a(c,\n",
|
||
"b){var m=v(c.node,b);(m=(m=m&&m.match(d))&&m[2])&&\"#\"==m.charAt()&&(m=m.substring(1))&&(f[m]=(f[m]||[]).concat(function(a){var m={};m[b]=ca(a);v(c.node,m)}))}function b(c){var a=v(c.node,\"xlink:href\");a&&\"#\"==a.charAt()&&(a=a.substring(1))&&(f[a]=(f[a]||[]).concat(function(a){c.attr(\"xlink:href\",\"#\"+a)}))}var e=c.selectAll(\"*\"),h,d=/^\\s*url\\((\"|'|)(.*)\\1\\)\\s*$/;c=[];for(var f={},l=0,E=e.length;l<E;l++){h=e[l];a(h,\"fill\");a(h,\"stroke\");a(h,\"filter\");a(h,\"mask\");a(h,\"clip-path\");b(h);var t=v(h.node,\n",
|
||
"\"id\");t&&(v(h.node,{id:h.id}),c.push({old:t,id:h.id}))}l=0;for(E=c.length;l<E;l++)if(e=f[c[l].old])for(h=0,t=e.length;h<t;h++)e[h](c[l].id)}function e(c,a,b){return function(m){m=m.slice(c,a);1==m.length&&(m=m[0]);return b?b(m):m}}function d(c){return function(){var a=c?\"<\"+this.type:\"\",b=this.node.attributes,m=this.node.childNodes;if(c)for(var e=0,h=b.length;e<h;e++)a+=\" \"+b[e].name+'=\"'+b[e].value.replace(/\"/g,'\\\\\"')+'\"';if(m.length){c&&(a+=\">\");e=0;for(h=m.length;e<h;e++)3==m[e].nodeType?a+=m[e].nodeValue:\n",
|
||
"1==m[e].nodeType&&(a+=x(m[e]).toString());c&&(a+=\"</\"+this.type+\">\")}else c&&(a+=\"/>\");return a}}c.attr=function(c,a){if(!c)return this;if(y(c,\"string\"))if(1<arguments.length){var b={};b[c]=a;c=b}else return k(\"snap.util.getattr.\"+c,this).firstDefined();for(var m in c)c[h](m)&&k(\"snap.util.attr.\"+m,this,c[m]);return this};c.getBBox=function(c){if(!a.Matrix||!a.path)return this.node.getBBox();var b=this,m=new a.Matrix;if(b.removed)return a._.box();for(;\"use\"==b.type;)if(c||(m=m.add(b.transform().localMatrix.translate(b.attr(\"x\")||\n",
|
||
"0,b.attr(\"y\")||0))),b.original)b=b.original;else var e=b.attr(\"xlink:href\"),b=b.original=b.node.ownerDocument.getElementById(e.substring(e.indexOf(\"#\")+1));var e=b._,h=a.path.get[b.type]||a.path.get.deflt;try{if(c)return e.bboxwt=h?a.path.getBBox(b.realPath=h(b)):a._.box(b.node.getBBox()),a._.box(e.bboxwt);b.realPath=h(b);b.matrix=b.transform().localMatrix;e.bbox=a.path.getBBox(a.path.map(b.realPath,m.add(b.matrix)));return a._.box(e.bbox)}catch(d){return a._.box()}};var f=function(){return this.string};\n",
|
||
"c.transform=function(c){var b=this._;if(null==c){var m=this;c=new a.Matrix(this.node.getCTM());for(var e=n(this),h=[e],d=new a.Matrix,l=e.toTransformString(),b=J(e)==J(this.matrix)?J(b.transform):l;\"svg\"!=m.type&&(m=m.parent());)h.push(n(m));for(m=h.length;m--;)d.add(h[m]);return{string:b,globalMatrix:c,totalMatrix:d,localMatrix:e,diffMatrix:c.clone().add(e.invert()),global:c.toTransformString(),total:d.toTransformString(),local:l,toString:f}}c instanceof a.Matrix?this.matrix=c:n(this,c);this.node&&\n",
|
||
"(\"linearGradient\"==this.type||\"radialGradient\"==this.type?v(this.node,{gradientTransform:this.matrix}):\"pattern\"==this.type?v(this.node,{patternTransform:this.matrix}):v(this.node,{transform:this.matrix}));return this};c.parent=function(){return x(this.node.parentNode)};c.append=c.add=function(c){if(c){if(\"set\"==c.type){var a=this;c.forEach(function(c){a.add(c)});return this}c=x(c);this.node.appendChild(c.node);c.paper=this.paper}return this};c.appendTo=function(c){c&&(c=x(c),c.append(this));return this};\n",
|
||
"c.prepend=function(c){if(c){if(\"set\"==c.type){var a=this,b;c.forEach(function(c){b?b.after(c):a.prepend(c);b=c});return this}c=x(c);var m=c.parent();this.node.insertBefore(c.node,this.node.firstChild);this.add&&this.add();c.paper=this.paper;this.parent()&&this.parent().add();m&&m.add()}return this};c.prependTo=function(c){c=x(c);c.prepend(this);return this};c.before=function(c){if(\"set\"==c.type){var a=this;c.forEach(function(c){var b=c.parent();a.node.parentNode.insertBefore(c.node,a.node);b&&b.add()});\n",
|
||
"this.parent().add();return this}c=x(c);var b=c.parent();this.node.parentNode.insertBefore(c.node,this.node);this.parent()&&this.parent().add();b&&b.add();c.paper=this.paper;return this};c.after=function(c){c=x(c);var a=c.parent();this.node.nextSibling?this.node.parentNode.insertBefore(c.node,this.node.nextSibling):this.node.parentNode.appendChild(c.node);this.parent()&&this.parent().add();a&&a.add();c.paper=this.paper;return this};c.insertBefore=function(c){c=x(c);var a=this.parent();c.node.parentNode.insertBefore(this.node,\n",
|
||
"c.node);this.paper=c.paper;a&&a.add();c.parent()&&c.parent().add();return this};c.insertAfter=function(c){c=x(c);var a=this.parent();c.node.parentNode.insertBefore(this.node,c.node.nextSibling);this.paper=c.paper;a&&a.add();c.parent()&&c.parent().add();return this};c.remove=function(){var c=this.parent();this.node.parentNode&&this.node.parentNode.removeChild(this.node);delete this.paper;this.removed=!0;c&&c.add();return this};c.select=function(c){return x(this.node.querySelector(c))};c.selectAll=\n",
|
||
"function(c){c=this.node.querySelectorAll(c);for(var b=(a.set||Array)(),m=0;m<c.length;m++)b.push(x(c[m]));return b};c.asPX=function(c,a){null==a&&(a=this.attr(c));return+b(this,c,a)};c.use=function(){var c,a=this.node.id;a||(a=this.id,v(this.node,{id:a}));c=\"linearGradient\"==this.type||\"radialGradient\"==this.type||\"pattern\"==this.type?r(this.type,this.node.parentNode):r(\"use\",this.node.parentNode);v(c.node,{\"xlink:href\":\"#\"+a});c.original=this;return c};var l=/\\S+/g;c.addClass=function(c){var a=(c||\n",
|
||
"\"\").match(l)||[];c=this.node;var b=c.className.baseVal,m=b.match(l)||[],e,h,d;if(a.length){for(e=0;d=a[e++];)h=m.indexOf(d),~h||m.push(d);a=m.join(\" \");b!=a&&(c.className.baseVal=a)}return this};c.removeClass=function(c){var a=(c||\"\").match(l)||[];c=this.node;var b=c.className.baseVal,m=b.match(l)||[],e,h;if(m.length){for(e=0;h=a[e++];)h=m.indexOf(h),~h&&m.splice(h,1);a=m.join(\" \");b!=a&&(c.className.baseVal=a)}return this};c.hasClass=function(c){return!!~(this.node.className.baseVal.match(l)||[]).indexOf(c)};\n",
|
||
"c.toggleClass=function(c,a){if(null!=a)return a?this.addClass(c):this.removeClass(c);var b=(c||\"\").match(l)||[],m=this.node,e=m.className.baseVal,h=e.match(l)||[],d,f,E;for(d=0;E=b[d++];)f=h.indexOf(E),~f?h.splice(f,1):h.push(E);b=h.join(\" \");e!=b&&(m.className.baseVal=b);return this};c.clone=function(){var c=x(this.node.cloneNode(!0));v(c.node,\"id\")&&v(c.node,{id:c.id});m(c);c.insertAfter(this);return c};c.toDefs=function(){u(this).appendChild(this.node);return this};c.pattern=c.toPattern=function(c,\n",
|
||
"a,b,m){var e=r(\"pattern\",u(this));null==c&&(c=this.getBBox());y(c,\"object\")&&\"x\"in c&&(a=c.y,b=c.width,m=c.height,c=c.x);v(e.node,{x:c,y:a,width:b,height:m,patternUnits:\"userSpaceOnUse\",id:e.id,viewBox:[c,a,b,m].join(\" \")});e.node.appendChild(this.node);return e};c.marker=function(c,a,b,m,e,h){var d=r(\"marker\",u(this));null==c&&(c=this.getBBox());y(c,\"object\")&&\"x\"in c&&(a=c.y,b=c.width,m=c.height,e=c.refX||c.cx,h=c.refY||c.cy,c=c.x);v(d.node,{viewBox:[c,a,b,m].join(\" \"),markerWidth:b,markerHeight:m,\n",
|
||
"orient:\"auto\",refX:e||0,refY:h||0,id:d.id});d.node.appendChild(this.node);return d};var E=function(c,a,b,m){\"function\"!=typeof b||b.length||(m=b,b=L.linear);this.attr=c;this.dur=a;b&&(this.easing=b);m&&(this.callback=m)};a._.Animation=E;a.animation=function(c,a,b,m){return new E(c,a,b,m)};c.inAnim=function(){var c=[],a;for(a in this.anims)this.anims[h](a)&&function(a){c.push({anim:new E(a._attrs,a.dur,a.easing,a._callback),mina:a,curStatus:a.status(),status:function(c){return a.status(c)},stop:function(){a.stop()}})}(this.anims[a]);\n",
|
||
"return c};a.animate=function(c,a,b,m,e,h){\"function\"!=typeof e||e.length||(h=e,e=L.linear);var d=L.time();c=L(c,a,d,d+m,L.time,b,e);h&&k.once(\"mina.finish.\"+c.id,h);return c};c.stop=function(){for(var c=this.inAnim(),a=0,b=c.length;a<b;a++)c[a].stop();return this};c.animate=function(c,a,b,m){\"function\"!=typeof b||b.length||(m=b,b=L.linear);c instanceof E&&(m=c.callback,b=c.easing,a=b.dur,c=c.attr);var d=[],f=[],l={},t,ca,n,T=this,q;for(q in c)if(c[h](q)){T.equal?(n=T.equal(q,J(c[q])),t=n.from,ca=\n",
|
||
"n.to,n=n.f):(t=+T.attr(q),ca=+c[q]);var la=y(t,\"array\")?t.length:1;l[q]=e(d.length,d.length+la,n);d=d.concat(t);f=f.concat(ca)}t=L.time();var p=L(d,f,t,t+a,L.time,function(c){var a={},b;for(b in l)l[h](b)&&(a[b]=l[b](c));T.attr(a)},b);T.anims[p.id]=p;p._attrs=c;p._callback=m;k(\"snap.animcreated.\"+T.id,p);k.once(\"mina.finish.\"+p.id,function(){delete T.anims[p.id];m&&m.call(T)});k.once(\"mina.stop.\"+p.id,function(){delete T.anims[p.id]});return T};var T={};c.data=function(c,b){var m=T[this.id]=T[this.id]||\n",
|
||
"{};if(0==arguments.length)return k(\"snap.data.get.\"+this.id,this,m,null),m;if(1==arguments.length){if(a.is(c,\"object\")){for(var e in c)c[h](e)&&this.data(e,c[e]);return this}k(\"snap.data.get.\"+this.id,this,m[c],c);return m[c]}m[c]=b;k(\"snap.data.set.\"+this.id,this,b,c);return this};c.removeData=function(c){null==c?T[this.id]={}:T[this.id]&&delete T[this.id][c];return this};c.outerSVG=c.toString=d(1);c.innerSVG=d()})(e.prototype);a.parse=function(c){var a=G.doc.createDocumentFragment(),b=!0,m=G.doc.createElement(\"div\");\n",
|
||
"c=J(c);c.match(/^\\s*<\\s*svg(?:\\s|>)/)||(c=\"<svg>\"+c+\"</svg>\",b=!1);m.innerHTML=c;if(c=m.getElementsByTagName(\"svg\")[0])if(b)a=c;else for(;c.firstChild;)a.appendChild(c.firstChild);m.innerHTML=aa;return new l(a)};l.prototype.select=e.prototype.select;l.prototype.selectAll=e.prototype.selectAll;a.fragment=function(){for(var c=Array.prototype.slice.call(arguments,0),b=G.doc.createDocumentFragment(),m=0,e=c.length;m<e;m++){var h=c[m];h.node&&h.node.nodeType&&b.appendChild(h.node);h.nodeType&&b.appendChild(h);\n",
|
||
"\"string\"==typeof h&&b.appendChild(a.parse(h).node)}return new l(b)};a._.make=r;a._.wrap=x;s.prototype.el=function(c,a){var b=r(c,this.node);a&&b.attr(a);return b};k.on(\"snap.util.getattr\",function(){var c=k.nt(),c=c.substring(c.lastIndexOf(\".\")+1),a=c.replace(/[A-Z]/g,function(c){return\"-\"+c.toLowerCase()});return pa[h](a)?this.node.ownerDocument.defaultView.getComputedStyle(this.node,null).getPropertyValue(a):v(this.node,c)});var pa={\"alignment-baseline\":0,\"baseline-shift\":0,clip:0,\"clip-path\":0,\n",
|
||
"\"clip-rule\":0,color:0,\"color-interpolation\":0,\"color-interpolation-filters\":0,\"color-profile\":0,\"color-rendering\":0,cursor:0,direction:0,display:0,\"dominant-baseline\":0,\"enable-background\":0,fill:0,\"fill-opacity\":0,\"fill-rule\":0,filter:0,\"flood-color\":0,\"flood-opacity\":0,font:0,\"font-family\":0,\"font-size\":0,\"font-size-adjust\":0,\"font-stretch\":0,\"font-style\":0,\"font-variant\":0,\"font-weight\":0,\"glyph-orientation-horizontal\":0,\"glyph-orientation-vertical\":0,\"image-rendering\":0,kerning:0,\"letter-spacing\":0,\n",
|
||
"\"lighting-color\":0,marker:0,\"marker-end\":0,\"marker-mid\":0,\"marker-start\":0,mask:0,opacity:0,overflow:0,\"pointer-events\":0,\"shape-rendering\":0,\"stop-color\":0,\"stop-opacity\":0,stroke:0,\"stroke-dasharray\":0,\"stroke-dashoffset\":0,\"stroke-linecap\":0,\"stroke-linejoin\":0,\"stroke-miterlimit\":0,\"stroke-opacity\":0,\"stroke-width\":0,\"text-anchor\":0,\"text-decoration\":0,\"text-rendering\":0,\"unicode-bidi\":0,visibility:0,\"word-spacing\":0,\"writing-mode\":0};k.on(\"snap.util.attr\",function(c){var a=k.nt(),b={},a=a.substring(a.lastIndexOf(\".\")+\n",
|
||
"1);b[a]=c;var m=a.replace(/-(\\w)/gi,function(c,a){return a.toUpperCase()}),a=a.replace(/[A-Z]/g,function(c){return\"-\"+c.toLowerCase()});pa[h](a)?this.node.style[m]=null==c?aa:c:v(this.node,b)});a.ajax=function(c,a,b,m){var e=new XMLHttpRequest,h=V();if(e){if(y(a,\"function\"))m=b,b=a,a=null;else if(y(a,\"object\")){var d=[],f;for(f in a)a.hasOwnProperty(f)&&d.push(encodeURIComponent(f)+\"=\"+encodeURIComponent(a[f]));a=d.join(\"&\")}e.open(a?\"POST\":\"GET\",c,!0);a&&(e.setRequestHeader(\"X-Requested-With\",\"XMLHttpRequest\"),\n",
|
||
"e.setRequestHeader(\"Content-type\",\"application/x-www-form-urlencoded\"));b&&(k.once(\"snap.ajax.\"+h+\".0\",b),k.once(\"snap.ajax.\"+h+\".200\",b),k.once(\"snap.ajax.\"+h+\".304\",b));e.onreadystatechange=function(){4==e.readyState&&k(\"snap.ajax.\"+h+\".\"+e.status,m,e)};if(4==e.readyState)return e;e.send(a);return e}};a.load=function(c,b,m){a.ajax(c,function(c){c=a.parse(c.responseText);m?b.call(m,c):b(c)})};a.getElementByPoint=function(c,a){var b,m,e=G.doc.elementFromPoint(c,a);if(G.win.opera&&\"svg\"==e.tagName){b=\n",
|
||
"e;m=b.getBoundingClientRect();b=b.ownerDocument;var h=b.body,d=b.documentElement;b=m.top+(g.win.pageYOffset||d.scrollTop||h.scrollTop)-(d.clientTop||h.clientTop||0);m=m.left+(g.win.pageXOffset||d.scrollLeft||h.scrollLeft)-(d.clientLeft||h.clientLeft||0);h=e.createSVGRect();h.x=c-m;h.y=a-b;h.width=h.height=1;b=e.getIntersectionList(h,null);b.length&&(e=b[b.length-1])}return e?x(e):null};a.plugin=function(c){c(a,e,s,G,l)};return G.win.Snap=a}();C.plugin(function(a,k,y,M,A){function w(a,d,f,b,q,e){null==\n",
|
||
"d&&\"[object SVGMatrix]\"==z.call(a)?(this.a=a.a,this.b=a.b,this.c=a.c,this.d=a.d,this.e=a.e,this.f=a.f):null!=a?(this.a=+a,this.b=+d,this.c=+f,this.d=+b,this.e=+q,this.f=+e):(this.a=1,this.c=this.b=0,this.d=1,this.f=this.e=0)}var z=Object.prototype.toString,d=String,f=Math;(function(n){function k(a){return a[0]*a[0]+a[1]*a[1]}function p(a){var d=f.sqrt(k(a));a[0]&&(a[0]/=d);a[1]&&(a[1]/=d)}n.add=function(a,d,e,f,n,p){var k=[[],[],[] ],u=[[this.a,this.c,this.e],[this.b,this.d,this.f],[0,0,1] ];d=[[a,\n",
|
||
"e,n],[d,f,p],[0,0,1] ];a&&a instanceof w&&(d=[[a.a,a.c,a.e],[a.b,a.d,a.f],[0,0,1] ]);for(a=0;3>a;a++)for(e=0;3>e;e++){for(f=n=0;3>f;f++)n+=u[a][f]*d[f][e];k[a][e]=n}this.a=k[0][0];this.b=k[1][0];this.c=k[0][1];this.d=k[1][1];this.e=k[0][2];this.f=k[1][2];return this};n.invert=function(){var a=this.a*this.d-this.b*this.c;return new w(this.d/a,-this.b/a,-this.c/a,this.a/a,(this.c*this.f-this.d*this.e)/a,(this.b*this.e-this.a*this.f)/a)};n.clone=function(){return new w(this.a,this.b,this.c,this.d,this.e,\n",
|
||
"this.f)};n.translate=function(a,d){return this.add(1,0,0,1,a,d)};n.scale=function(a,d,e,f){null==d&&(d=a);(e||f)&&this.add(1,0,0,1,e,f);this.add(a,0,0,d,0,0);(e||f)&&this.add(1,0,0,1,-e,-f);return this};n.rotate=function(b,d,e){b=a.rad(b);d=d||0;e=e||0;var l=+f.cos(b).toFixed(9);b=+f.sin(b).toFixed(9);this.add(l,b,-b,l,d,e);return this.add(1,0,0,1,-d,-e)};n.x=function(a,d){return a*this.a+d*this.c+this.e};n.y=function(a,d){return a*this.b+d*this.d+this.f};n.get=function(a){return+this[d.fromCharCode(97+\n",
|
||
"a)].toFixed(4)};n.toString=function(){return\"matrix(\"+[this.get(0),this.get(1),this.get(2),this.get(3),this.get(4),this.get(5)].join()+\")\"};n.offset=function(){return[this.e.toFixed(4),this.f.toFixed(4)]};n.determinant=function(){return this.a*this.d-this.b*this.c};n.split=function(){var b={};b.dx=this.e;b.dy=this.f;var d=[[this.a,this.c],[this.b,this.d] ];b.scalex=f.sqrt(k(d[0]));p(d[0]);b.shear=d[0][0]*d[1][0]+d[0][1]*d[1][1];d[1]=[d[1][0]-d[0][0]*b.shear,d[1][1]-d[0][1]*b.shear];b.scaley=f.sqrt(k(d[1]));\n",
|
||
"p(d[1]);b.shear/=b.scaley;0>this.determinant()&&(b.scalex=-b.scalex);var e=-d[0][1],d=d[1][1];0>d?(b.rotate=a.deg(f.acos(d)),0>e&&(b.rotate=360-b.rotate)):b.rotate=a.deg(f.asin(e));b.isSimple=!+b.shear.toFixed(9)&&(b.scalex.toFixed(9)==b.scaley.toFixed(9)||!b.rotate);b.isSuperSimple=!+b.shear.toFixed(9)&&b.scalex.toFixed(9)==b.scaley.toFixed(9)&&!b.rotate;b.noRotation=!+b.shear.toFixed(9)&&!b.rotate;return b};n.toTransformString=function(a){a=a||this.split();if(+a.shear.toFixed(9))return\"m\"+[this.get(0),\n",
|
||
"this.get(1),this.get(2),this.get(3),this.get(4),this.get(5)];a.scalex=+a.scalex.toFixed(4);a.scaley=+a.scaley.toFixed(4);a.rotate=+a.rotate.toFixed(4);return(a.dx||a.dy?\"t\"+[+a.dx.toFixed(4),+a.dy.toFixed(4)]:\"\")+(1!=a.scalex||1!=a.scaley?\"s\"+[a.scalex,a.scaley,0,0]:\"\")+(a.rotate?\"r\"+[+a.rotate.toFixed(4),0,0]:\"\")}})(w.prototype);a.Matrix=w;a.matrix=function(a,d,f,b,k,e){return new w(a,d,f,b,k,e)}});C.plugin(function(a,v,y,M,A){function w(h){return function(d){k.stop();d instanceof A&&1==d.node.childNodes.length&&\n",
|
||
"(\"radialGradient\"==d.node.firstChild.tagName||\"linearGradient\"==d.node.firstChild.tagName||\"pattern\"==d.node.firstChild.tagName)&&(d=d.node.firstChild,b(this).appendChild(d),d=u(d));if(d instanceof v)if(\"radialGradient\"==d.type||\"linearGradient\"==d.type||\"pattern\"==d.type){d.node.id||e(d.node,{id:d.id});var f=l(d.node.id)}else f=d.attr(h);else f=a.color(d),f.error?(f=a(b(this).ownerSVGElement).gradient(d))?(f.node.id||e(f.node,{id:f.id}),f=l(f.node.id)):f=d:f=r(f);d={};d[h]=f;e(this.node,d);this.node.style[h]=\n",
|
||
"x}}function z(a){k.stop();a==+a&&(a+=\"px\");this.node.style.fontSize=a}function d(a){var b=[];a=a.childNodes;for(var e=0,f=a.length;e<f;e++){var l=a[e];3==l.nodeType&&b.push(l.nodeValue);\"tspan\"==l.tagName&&(1==l.childNodes.length&&3==l.firstChild.nodeType?b.push(l.firstChild.nodeValue):b.push(d(l)))}return b}function f(){k.stop();return this.node.style.fontSize}var n=a._.make,u=a._.wrap,p=a.is,b=a._.getSomeDefs,q=/^url\\(#?([^)]+)\\)$/,e=a._.$,l=a.url,r=String,s=a._.separator,x=\"\";k.on(\"snap.util.attr.mask\",\n",
|
||
"function(a){if(a instanceof v||a instanceof A){k.stop();a instanceof A&&1==a.node.childNodes.length&&(a=a.node.firstChild,b(this).appendChild(a),a=u(a));if(\"mask\"==a.type)var d=a;else d=n(\"mask\",b(this)),d.node.appendChild(a.node);!d.node.id&&e(d.node,{id:d.id});e(this.node,{mask:l(d.id)})}});(function(a){k.on(\"snap.util.attr.clip\",a);k.on(\"snap.util.attr.clip-path\",a);k.on(\"snap.util.attr.clipPath\",a)})(function(a){if(a instanceof v||a instanceof A){k.stop();if(\"clipPath\"==a.type)var d=a;else d=\n",
|
||
"n(\"clipPath\",b(this)),d.node.appendChild(a.node),!d.node.id&&e(d.node,{id:d.id});e(this.node,{\"clip-path\":l(d.id)})}});k.on(\"snap.util.attr.fill\",w(\"fill\"));k.on(\"snap.util.attr.stroke\",w(\"stroke\"));var G=/^([lr])(?:\\(([^)]*)\\))?(.*)$/i;k.on(\"snap.util.grad.parse\",function(a){a=r(a);var b=a.match(G);if(!b)return null;a=b[1];var e=b[2],b=b[3],e=e.split(/\\s*,\\s*/).map(function(a){return+a==a?+a:a});1==e.length&&0==e[0]&&(e=[]);b=b.split(\"-\");b=b.map(function(a){a=a.split(\":\");var b={color:a[0]};a[1]&&\n",
|
||
"(b.offset=parseFloat(a[1]));return b});return{type:a,params:e,stops:b}});k.on(\"snap.util.attr.d\",function(b){k.stop();p(b,\"array\")&&p(b[0],\"array\")&&(b=a.path.toString.call(b));b=r(b);b.match(/[ruo]/i)&&(b=a.path.toAbsolute(b));e(this.node,{d:b})})(-1);k.on(\"snap.util.attr.#text\",function(a){k.stop();a=r(a);for(a=M.doc.createTextNode(a);this.node.firstChild;)this.node.removeChild(this.node.firstChild);this.node.appendChild(a)})(-1);k.on(\"snap.util.attr.path\",function(a){k.stop();this.attr({d:a})})(-1);\n",
|
||
"k.on(\"snap.util.attr.class\",function(a){k.stop();this.node.className.baseVal=a})(-1);k.on(\"snap.util.attr.viewBox\",function(a){a=p(a,\"object\")&&\"x\"in a?[a.x,a.y,a.width,a.height].join(\" \"):p(a,\"array\")?a.join(\" \"):a;e(this.node,{viewBox:a});k.stop()})(-1);k.on(\"snap.util.attr.transform\",function(a){this.transform(a);k.stop()})(-1);k.on(\"snap.util.attr.r\",function(a){\"rect\"==this.type&&(k.stop(),e(this.node,{rx:a,ry:a}))})(-1);k.on(\"snap.util.attr.textpath\",function(a){k.stop();if(\"text\"==this.type){var d,\n",
|
||
"f;if(!a&&this.textPath){for(a=this.textPath;a.node.firstChild;)this.node.appendChild(a.node.firstChild);a.remove();delete this.textPath}else if(p(a,\"string\")?(d=b(this),a=u(d.parentNode).path(a),d.appendChild(a.node),d=a.id,a.attr({id:d})):(a=u(a),a instanceof v&&(d=a.attr(\"id\"),d||(d=a.id,a.attr({id:d})))),d)if(a=this.textPath,f=this.node,a)a.attr({\"xlink:href\":\"#\"+d});else{for(a=e(\"textPath\",{\"xlink:href\":\"#\"+d});f.firstChild;)a.appendChild(f.firstChild);f.appendChild(a);this.textPath=u(a)}}})(-1);\n",
|
||
"k.on(\"snap.util.attr.text\",function(a){if(\"text\"==this.type){for(var b=this.node,d=function(a){var b=e(\"tspan\");if(p(a,\"array\"))for(var f=0;f<a.length;f++)b.appendChild(d(a[f]));else b.appendChild(M.doc.createTextNode(a));b.normalize&&b.normalize();return b};b.firstChild;)b.removeChild(b.firstChild);for(a=d(a);a.firstChild;)b.appendChild(a.firstChild)}k.stop()})(-1);k.on(\"snap.util.attr.fontSize\",z)(-1);k.on(\"snap.util.attr.font-size\",z)(-1);k.on(\"snap.util.getattr.transform\",function(){k.stop();\n",
|
||
"return this.transform()})(-1);k.on(\"snap.util.getattr.textpath\",function(){k.stop();return this.textPath})(-1);(function(){function b(d){return function(){k.stop();var b=M.doc.defaultView.getComputedStyle(this.node,null).getPropertyValue(\"marker-\"+d);return\"none\"==b?b:a(M.doc.getElementById(b.match(q)[1]))}}function d(a){return function(b){k.stop();var d=\"marker\"+a.charAt(0).toUpperCase()+a.substring(1);if(\"\"==b||!b)this.node.style[d]=\"none\";else if(\"marker\"==b.type){var f=b.node.id;f||e(b.node,{id:b.id});\n",
|
||
"this.node.style[d]=l(f)}}}k.on(\"snap.util.getattr.marker-end\",b(\"end\"))(-1);k.on(\"snap.util.getattr.markerEnd\",b(\"end\"))(-1);k.on(\"snap.util.getattr.marker-start\",b(\"start\"))(-1);k.on(\"snap.util.getattr.markerStart\",b(\"start\"))(-1);k.on(\"snap.util.getattr.marker-mid\",b(\"mid\"))(-1);k.on(\"snap.util.getattr.markerMid\",b(\"mid\"))(-1);k.on(\"snap.util.attr.marker-end\",d(\"end\"))(-1);k.on(\"snap.util.attr.markerEnd\",d(\"end\"))(-1);k.on(\"snap.util.attr.marker-start\",d(\"start\"))(-1);k.on(\"snap.util.attr.markerStart\",\n",
|
||
"d(\"start\"))(-1);k.on(\"snap.util.attr.marker-mid\",d(\"mid\"))(-1);k.on(\"snap.util.attr.markerMid\",d(\"mid\"))(-1)})();k.on(\"snap.util.getattr.r\",function(){if(\"rect\"==this.type&&e(this.node,\"rx\")==e(this.node,\"ry\"))return k.stop(),e(this.node,\"rx\")})(-1);k.on(\"snap.util.getattr.text\",function(){if(\"text\"==this.type||\"tspan\"==this.type){k.stop();var a=d(this.node);return 1==a.length?a[0]:a}})(-1);k.on(\"snap.util.getattr.#text\",function(){return this.node.textContent})(-1);k.on(\"snap.util.getattr.viewBox\",\n",
|
||
"function(){k.stop();var b=e(this.node,\"viewBox\");if(b)return b=b.split(s),a._.box(+b[0],+b[1],+b[2],+b[3])})(-1);k.on(\"snap.util.getattr.points\",function(){var a=e(this.node,\"points\");k.stop();if(a)return a.split(s)})(-1);k.on(\"snap.util.getattr.path\",function(){var a=e(this.node,\"d\");k.stop();return a})(-1);k.on(\"snap.util.getattr.class\",function(){return this.node.className.baseVal})(-1);k.on(\"snap.util.getattr.fontSize\",f)(-1);k.on(\"snap.util.getattr.font-size\",f)(-1)});C.plugin(function(a,v,y,\n",
|
||
"M,A){function w(a){return a}function z(a){return function(b){return+b.toFixed(3)+a}}var d={\"+\":function(a,b){return a+b},\"-\":function(a,b){return a-b},\"/\":function(a,b){return a/b},\"*\":function(a,b){return a*b}},f=String,n=/[a-z]+$/i,u=/^\\s*([+\\-\\/*])\\s*=\\s*([\\d.eE+\\-]+)\\s*([^\\d\\s]+)?\\s*$/;k.on(\"snap.util.attr\",function(a){if(a=f(a).match(u)){var b=k.nt(),b=b.substring(b.lastIndexOf(\".\")+1),q=this.attr(b),e={};k.stop();var l=a[3]||\"\",r=q.match(n),s=d[a[1] ];r&&r==l?a=s(parseFloat(q),+a[2]):(q=this.asPX(b),\n",
|
||
"a=s(this.asPX(b),this.asPX(b,a[2]+l)));isNaN(q)||isNaN(a)||(e[b]=a,this.attr(e))}})(-10);k.on(\"snap.util.equal\",function(a,b){var q=f(this.attr(a)||\"\"),e=f(b).match(u);if(e){k.stop();var l=e[3]||\"\",r=q.match(n),s=d[e[1] ];if(r&&r==l)return{from:parseFloat(q),to:s(parseFloat(q),+e[2]),f:z(r)};q=this.asPX(a);return{from:q,to:s(q,this.asPX(a,e[2]+l)),f:w}}})(-10)});C.plugin(function(a,v,y,M,A){var w=y.prototype,z=a.is;w.rect=function(a,d,k,p,b,q){var e;null==q&&(q=b);z(a,\"object\")&&\"[object Object]\"==\n",
|
||
"a?e=a:null!=a&&(e={x:a,y:d,width:k,height:p},null!=b&&(e.rx=b,e.ry=q));return this.el(\"rect\",e)};w.circle=function(a,d,k){var p;z(a,\"object\")&&\"[object Object]\"==a?p=a:null!=a&&(p={cx:a,cy:d,r:k});return this.el(\"circle\",p)};var d=function(){function a(){this.parentNode.removeChild(this)}return function(d,k){var p=M.doc.createElement(\"img\"),b=M.doc.body;p.style.cssText=\"position:absolute;left:-9999em;top:-9999em\";p.onload=function(){k.call(p);p.onload=p.onerror=null;b.removeChild(p)};p.onerror=a;\n",
|
||
"b.appendChild(p);p.src=d}}();w.image=function(f,n,k,p,b){var q=this.el(\"image\");if(z(f,\"object\")&&\"src\"in f)q.attr(f);else if(null!=f){var e={\"xlink:href\":f,preserveAspectRatio:\"none\"};null!=n&&null!=k&&(e.x=n,e.y=k);null!=p&&null!=b?(e.width=p,e.height=b):d(f,function(){a._.$(q.node,{width:this.offsetWidth,height:this.offsetHeight})});a._.$(q.node,e)}return q};w.ellipse=function(a,d,k,p){var b;z(a,\"object\")&&\"[object Object]\"==a?b=a:null!=a&&(b={cx:a,cy:d,rx:k,ry:p});return this.el(\"ellipse\",b)};\n",
|
||
"w.path=function(a){var d;z(a,\"object\")&&!z(a,\"array\")?d=a:a&&(d={d:a});return this.el(\"path\",d)};w.group=w.g=function(a){var d=this.el(\"g\");1==arguments.length&&a&&!a.type?d.attr(a):arguments.length&&d.add(Array.prototype.slice.call(arguments,0));return d};w.svg=function(a,d,k,p,b,q,e,l){var r={};z(a,\"object\")&&null==d?r=a:(null!=a&&(r.x=a),null!=d&&(r.y=d),null!=k&&(r.width=k),null!=p&&(r.height=p),null!=b&&null!=q&&null!=e&&null!=l&&(r.viewBox=[b,q,e,l]));return this.el(\"svg\",r)};w.mask=function(a){var d=\n",
|
||
"this.el(\"mask\");1==arguments.length&&a&&!a.type?d.attr(a):arguments.length&&d.add(Array.prototype.slice.call(arguments,0));return d};w.ptrn=function(a,d,k,p,b,q,e,l){if(z(a,\"object\"))var r=a;else arguments.length?(r={},null!=a&&(r.x=a),null!=d&&(r.y=d),null!=k&&(r.width=k),null!=p&&(r.height=p),null!=b&&null!=q&&null!=e&&null!=l&&(r.viewBox=[b,q,e,l])):r={patternUnits:\"userSpaceOnUse\"};return this.el(\"pattern\",r)};w.use=function(a){return null!=a?(make(\"use\",this.node),a instanceof v&&(a.attr(\"id\")||\n",
|
||
"a.attr({id:ID()}),a=a.attr(\"id\")),this.el(\"use\",{\"xlink:href\":a})):v.prototype.use.call(this)};w.text=function(a,d,k){var p={};z(a,\"object\")?p=a:null!=a&&(p={x:a,y:d,text:k||\"\"});return this.el(\"text\",p)};w.line=function(a,d,k,p){var b={};z(a,\"object\")?b=a:null!=a&&(b={x1:a,x2:k,y1:d,y2:p});return this.el(\"line\",b)};w.polyline=function(a){1<arguments.length&&(a=Array.prototype.slice.call(arguments,0));var d={};z(a,\"object\")&&!z(a,\"array\")?d=a:null!=a&&(d={points:a});return this.el(\"polyline\",d)};\n",
|
||
"w.polygon=function(a){1<arguments.length&&(a=Array.prototype.slice.call(arguments,0));var d={};z(a,\"object\")&&!z(a,\"array\")?d=a:null!=a&&(d={points:a});return this.el(\"polygon\",d)};(function(){function d(){return this.selectAll(\"stop\")}function n(b,d){var f=e(\"stop\"),k={offset:+d+\"%\"};b=a.color(b);k[\"stop-color\"]=b.hex;1>b.opacity&&(k[\"stop-opacity\"]=b.opacity);e(f,k);this.node.appendChild(f);return this}function u(){if(\"linearGradient\"==this.type){var b=e(this.node,\"x1\")||0,d=e(this.node,\"x2\")||\n",
|
||
"1,f=e(this.node,\"y1\")||0,k=e(this.node,\"y2\")||0;return a._.box(b,f,math.abs(d-b),math.abs(k-f))}b=this.node.r||0;return a._.box((this.node.cx||0.5)-b,(this.node.cy||0.5)-b,2*b,2*b)}function p(a,d){function f(a,b){for(var d=(b-u)/(a-w),e=w;e<a;e++)h[e].offset=+(+u+d*(e-w)).toFixed(2);w=a;u=b}var n=k(\"snap.util.grad.parse\",null,d).firstDefined(),p;if(!n)return null;n.params.unshift(a);p=\"l\"==n.type.toLowerCase()?b.apply(0,n.params):q.apply(0,n.params);n.type!=n.type.toLowerCase()&&e(p.node,{gradientUnits:\"userSpaceOnUse\"});\n",
|
||
"var h=n.stops,n=h.length,u=0,w=0;n--;for(var v=0;v<n;v++)\"offset\"in h[v]&&f(v,h[v].offset);h[n].offset=h[n].offset||100;f(n,h[n].offset);for(v=0;v<=n;v++){var y=h[v];p.addStop(y.color,y.offset)}return p}function b(b,k,p,q,w){b=a._.make(\"linearGradient\",b);b.stops=d;b.addStop=n;b.getBBox=u;null!=k&&e(b.node,{x1:k,y1:p,x2:q,y2:w});return b}function q(b,k,p,q,w,h){b=a._.make(\"radialGradient\",b);b.stops=d;b.addStop=n;b.getBBox=u;null!=k&&e(b.node,{cx:k,cy:p,r:q});null!=w&&null!=h&&e(b.node,{fx:w,fy:h});\n",
|
||
"return b}var e=a._.$;w.gradient=function(a){return p(this.defs,a)};w.gradientLinear=function(a,d,e,f){return b(this.defs,a,d,e,f)};w.gradientRadial=function(a,b,d,e,f){return q(this.defs,a,b,d,e,f)};w.toString=function(){var b=this.node.ownerDocument,d=b.createDocumentFragment(),b=b.createElement(\"div\"),e=this.node.cloneNode(!0);d.appendChild(b);b.appendChild(e);a._.$(e,{xmlns:\"http://www.w3.org/2000/svg\"});b=b.innerHTML;d.removeChild(d.firstChild);return b};w.clear=function(){for(var a=this.node.firstChild,\n",
|
||
"b;a;)b=a.nextSibling,\"defs\"!=a.tagName?a.parentNode.removeChild(a):w.clear.call({node:a}),a=b}})()});C.plugin(function(a,k,y,M){function A(a){var b=A.ps=A.ps||{};b[a]?b[a].sleep=100:b[a]={sleep:100};setTimeout(function(){for(var d in b)b[L](d)&&d!=a&&(b[d].sleep--,!b[d].sleep&&delete b[d])});return b[a]}function w(a,b,d,e){null==a&&(a=b=d=e=0);null==b&&(b=a.y,d=a.width,e=a.height,a=a.x);return{x:a,y:b,width:d,w:d,height:e,h:e,x2:a+d,y2:b+e,cx:a+d/2,cy:b+e/2,r1:F.min(d,e)/2,r2:F.max(d,e)/2,r0:F.sqrt(d*\n",
|
||
"d+e*e)/2,path:s(a,b,d,e),vb:[a,b,d,e].join(\" \")}}function z(){return this.join(\",\").replace(N,\"$1\")}function d(a){a=C(a);a.toString=z;return a}function f(a,b,d,h,f,k,l,n,p){if(null==p)return e(a,b,d,h,f,k,l,n);if(0>p||e(a,b,d,h,f,k,l,n)<p)p=void 0;else{var q=0.5,O=1-q,s;for(s=e(a,b,d,h,f,k,l,n,O);0.01<Z(s-p);)q/=2,O+=(s<p?1:-1)*q,s=e(a,b,d,h,f,k,l,n,O);p=O}return u(a,b,d,h,f,k,l,n,p)}function n(b,d){function e(a){return+(+a).toFixed(3)}return a._.cacher(function(a,h,l){a instanceof k&&(a=a.attr(\"d\"));\n",
|
||
"a=I(a);for(var n,p,D,q,O=\"\",s={},c=0,t=0,r=a.length;t<r;t++){D=a[t];if(\"M\"==D[0])n=+D[1],p=+D[2];else{q=f(n,p,D[1],D[2],D[3],D[4],D[5],D[6]);if(c+q>h){if(d&&!s.start){n=f(n,p,D[1],D[2],D[3],D[4],D[5],D[6],h-c);O+=[\"C\"+e(n.start.x),e(n.start.y),e(n.m.x),e(n.m.y),e(n.x),e(n.y)];if(l)return O;s.start=O;O=[\"M\"+e(n.x),e(n.y)+\"C\"+e(n.n.x),e(n.n.y),e(n.end.x),e(n.end.y),e(D[5]),e(D[6])].join();c+=q;n=+D[5];p=+D[6];continue}if(!b&&!d)return n=f(n,p,D[1],D[2],D[3],D[4],D[5],D[6],h-c)}c+=q;n=+D[5];p=+D[6]}O+=\n",
|
||
"D.shift()+D}s.end=O;return n=b?c:d?s:u(n,p,D[0],D[1],D[2],D[3],D[4],D[5],1)},null,a._.clone)}function u(a,b,d,e,h,f,k,l,n){var p=1-n,q=ma(p,3),s=ma(p,2),c=n*n,t=c*n,r=q*a+3*s*n*d+3*p*n*n*h+t*k,q=q*b+3*s*n*e+3*p*n*n*f+t*l,s=a+2*n*(d-a)+c*(h-2*d+a),t=b+2*n*(e-b)+c*(f-2*e+b),x=d+2*n*(h-d)+c*(k-2*h+d),c=e+2*n*(f-e)+c*(l-2*f+e);a=p*a+n*d;b=p*b+n*e;h=p*h+n*k;f=p*f+n*l;l=90-180*F.atan2(s-x,t-c)/S;return{x:r,y:q,m:{x:s,y:t},n:{x:x,y:c},start:{x:a,y:b},end:{x:h,y:f},alpha:l}}function p(b,d,e,h,f,n,k,l){a.is(b,\n",
|
||
"\"array\")||(b=[b,d,e,h,f,n,k,l]);b=U.apply(null,b);return w(b.min.x,b.min.y,b.max.x-b.min.x,b.max.y-b.min.y)}function b(a,b,d){return b>=a.x&&b<=a.x+a.width&&d>=a.y&&d<=a.y+a.height}function q(a,d){a=w(a);d=w(d);return b(d,a.x,a.y)||b(d,a.x2,a.y)||b(d,a.x,a.y2)||b(d,a.x2,a.y2)||b(a,d.x,d.y)||b(a,d.x2,d.y)||b(a,d.x,d.y2)||b(a,d.x2,d.y2)||(a.x<d.x2&&a.x>d.x||d.x<a.x2&&d.x>a.x)&&(a.y<d.y2&&a.y>d.y||d.y<a.y2&&d.y>a.y)}function e(a,b,d,e,h,f,n,k,l){null==l&&(l=1);l=(1<l?1:0>l?0:l)/2;for(var p=[-0.1252,\n",
|
||
"0.1252,-0.3678,0.3678,-0.5873,0.5873,-0.7699,0.7699,-0.9041,0.9041,-0.9816,0.9816],q=[0.2491,0.2491,0.2335,0.2335,0.2032,0.2032,0.1601,0.1601,0.1069,0.1069,0.0472,0.0472],s=0,c=0;12>c;c++)var t=l*p[c]+l,r=t*(t*(-3*a+9*d-9*h+3*n)+6*a-12*d+6*h)-3*a+3*d,t=t*(t*(-3*b+9*e-9*f+3*k)+6*b-12*e+6*f)-3*b+3*e,s=s+q[c]*F.sqrt(r*r+t*t);return l*s}function l(a,b,d){a=I(a);b=I(b);for(var h,f,l,n,k,s,r,O,x,c,t=d?0:[],w=0,v=a.length;w<v;w++)if(x=a[w],\"M\"==x[0])h=k=x[1],f=s=x[2];else{\"C\"==x[0]?(x=[h,f].concat(x.slice(1)),\n",
|
||
"h=x[6],f=x[7]):(x=[h,f,h,f,k,s,k,s],h=k,f=s);for(var G=0,y=b.length;G<y;G++)if(c=b[G],\"M\"==c[0])l=r=c[1],n=O=c[2];else{\"C\"==c[0]?(c=[l,n].concat(c.slice(1)),l=c[6],n=c[7]):(c=[l,n,l,n,r,O,r,O],l=r,n=O);var z;var K=x,B=c;z=d;var H=p(K),J=p(B);if(q(H,J)){for(var H=e.apply(0,K),J=e.apply(0,B),H=~~(H/8),J=~~(J/8),U=[],A=[],F={},M=z?0:[],P=0;P<H+1;P++){var C=u.apply(0,K.concat(P/H));U.push({x:C.x,y:C.y,t:P/H})}for(P=0;P<J+1;P++)C=u.apply(0,B.concat(P/J)),A.push({x:C.x,y:C.y,t:P/J});for(P=0;P<H;P++)for(K=\n",
|
||
"0;K<J;K++){var Q=U[P],L=U[P+1],B=A[K],C=A[K+1],N=0.001>Z(L.x-Q.x)?\"y\":\"x\",S=0.001>Z(C.x-B.x)?\"y\":\"x\",R;R=Q.x;var Y=Q.y,V=L.x,ea=L.y,fa=B.x,ga=B.y,ha=C.x,ia=C.y;if(W(R,V)<X(fa,ha)||X(R,V)>W(fa,ha)||W(Y,ea)<X(ga,ia)||X(Y,ea)>W(ga,ia))R=void 0;else{var $=(R*ea-Y*V)*(fa-ha)-(R-V)*(fa*ia-ga*ha),aa=(R*ea-Y*V)*(ga-ia)-(Y-ea)*(fa*ia-ga*ha),ja=(R-V)*(ga-ia)-(Y-ea)*(fa-ha);if(ja){var $=$/ja,aa=aa/ja,ja=+$.toFixed(2),ba=+aa.toFixed(2);R=ja<+X(R,V).toFixed(2)||ja>+W(R,V).toFixed(2)||ja<+X(fa,ha).toFixed(2)||\n",
|
||
"ja>+W(fa,ha).toFixed(2)||ba<+X(Y,ea).toFixed(2)||ba>+W(Y,ea).toFixed(2)||ba<+X(ga,ia).toFixed(2)||ba>+W(ga,ia).toFixed(2)?void 0:{x:$,y:aa}}else R=void 0}R&&F[R.x.toFixed(4)]!=R.y.toFixed(4)&&(F[R.x.toFixed(4)]=R.y.toFixed(4),Q=Q.t+Z((R[N]-Q[N])/(L[N]-Q[N]))*(L.t-Q.t),B=B.t+Z((R[S]-B[S])/(C[S]-B[S]))*(C.t-B.t),0<=Q&&1>=Q&&0<=B&&1>=B&&(z?M++:M.push({x:R.x,y:R.y,t1:Q,t2:B})))}z=M}else z=z?0:[];if(d)t+=z;else{H=0;for(J=z.length;H<J;H++)z[H].segment1=w,z[H].segment2=G,z[H].bez1=x,z[H].bez2=c;t=t.concat(z)}}}return t}\n",
|
||
"function r(a){var b=A(a);if(b.bbox)return C(b.bbox);if(!a)return w();a=I(a);for(var d=0,e=0,h=[],f=[],l,n=0,k=a.length;n<k;n++)l=a[n],\"M\"==l[0]?(d=l[1],e=l[2],h.push(d),f.push(e)):(d=U(d,e,l[1],l[2],l[3],l[4],l[5],l[6]),h=h.concat(d.min.x,d.max.x),f=f.concat(d.min.y,d.max.y),d=l[5],e=l[6]);a=X.apply(0,h);l=X.apply(0,f);h=W.apply(0,h);f=W.apply(0,f);f=w(a,l,h-a,f-l);b.bbox=C(f);return f}function s(a,b,d,e,h){if(h)return[[\"M\",+a+ +h,b],[\"l\",d-2*h,0],[\"a\",h,h,0,0,1,h,h],[\"l\",0,e-2*h],[\"a\",h,h,0,0,1,\n",
|
||
"-h,h],[\"l\",2*h-d,0],[\"a\",h,h,0,0,1,-h,-h],[\"l\",0,2*h-e],[\"a\",h,h,0,0,1,h,-h],[\"z\"] ];a=[[\"M\",a,b],[\"l\",d,0],[\"l\",0,e],[\"l\",-d,0],[\"z\"] ];a.toString=z;return a}function x(a,b,d,e,h){null==h&&null==e&&(e=d);a=+a;b=+b;d=+d;e=+e;if(null!=h){var f=Math.PI/180,l=a+d*Math.cos(-e*f);a+=d*Math.cos(-h*f);var n=b+d*Math.sin(-e*f);b+=d*Math.sin(-h*f);d=[[\"M\",l,n],[\"A\",d,d,0,+(180<h-e),0,a,b] ]}else d=[[\"M\",a,b],[\"m\",0,-e],[\"a\",d,e,0,1,1,0,2*e],[\"a\",d,e,0,1,1,0,-2*e],[\"z\"] ];d.toString=z;return d}function G(b){var e=\n",
|
||
"A(b);if(e.abs)return d(e.abs);Q(b,\"array\")&&Q(b&&b[0],\"array\")||(b=a.parsePathString(b));if(!b||!b.length)return[[\"M\",0,0] ];var h=[],f=0,l=0,n=0,k=0,p=0;\"M\"==b[0][0]&&(f=+b[0][1],l=+b[0][2],n=f,k=l,p++,h[0]=[\"M\",f,l]);for(var q=3==b.length&&\"M\"==b[0][0]&&\"R\"==b[1][0].toUpperCase()&&\"Z\"==b[2][0].toUpperCase(),s,r,w=p,c=b.length;w<c;w++){h.push(s=[]);r=b[w];p=r[0];if(p!=p.toUpperCase())switch(s[0]=p.toUpperCase(),s[0]){case \"A\":s[1]=r[1];s[2]=r[2];s[3]=r[3];s[4]=r[4];s[5]=r[5];s[6]=+r[6]+f;s[7]=+r[7]+\n",
|
||
"l;break;case \"V\":s[1]=+r[1]+l;break;case \"H\":s[1]=+r[1]+f;break;case \"R\":for(var t=[f,l].concat(r.slice(1)),u=2,v=t.length;u<v;u++)t[u]=+t[u]+f,t[++u]=+t[u]+l;h.pop();h=h.concat(P(t,q));break;case \"O\":h.pop();t=x(f,l,r[1],r[2]);t.push(t[0]);h=h.concat(t);break;case \"U\":h.pop();h=h.concat(x(f,l,r[1],r[2],r[3]));s=[\"U\"].concat(h[h.length-1].slice(-2));break;case \"M\":n=+r[1]+f,k=+r[2]+l;default:for(u=1,v=r.length;u<v;u++)s[u]=+r[u]+(u%2?f:l)}else if(\"R\"==p)t=[f,l].concat(r.slice(1)),h.pop(),h=h.concat(P(t,\n",
|
||
"q)),s=[\"R\"].concat(r.slice(-2));else if(\"O\"==p)h.pop(),t=x(f,l,r[1],r[2]),t.push(t[0]),h=h.concat(t);else if(\"U\"==p)h.pop(),h=h.concat(x(f,l,r[1],r[2],r[3])),s=[\"U\"].concat(h[h.length-1].slice(-2));else for(t=0,u=r.length;t<u;t++)s[t]=r[t];p=p.toUpperCase();if(\"O\"!=p)switch(s[0]){case \"Z\":f=+n;l=+k;break;case \"H\":f=s[1];break;case \"V\":l=s[1];break;case \"M\":n=s[s.length-2],k=s[s.length-1];default:f=s[s.length-2],l=s[s.length-1]}}h.toString=z;e.abs=d(h);return h}function h(a,b,d,e){return[a,b,d,e,d,\n",
|
||
"e]}function J(a,b,d,e,h,f){var l=1/3,n=2/3;return[l*a+n*d,l*b+n*e,l*h+n*d,l*f+n*e,h,f]}function K(b,d,e,h,f,l,n,k,p,s){var r=120*S/180,q=S/180*(+f||0),c=[],t,x=a._.cacher(function(a,b,c){var d=a*F.cos(c)-b*F.sin(c);a=a*F.sin(c)+b*F.cos(c);return{x:d,y:a}});if(s)v=s[0],t=s[1],l=s[2],u=s[3];else{t=x(b,d,-q);b=t.x;d=t.y;t=x(k,p,-q);k=t.x;p=t.y;F.cos(S/180*f);F.sin(S/180*f);t=(b-k)/2;v=(d-p)/2;u=t*t/(e*e)+v*v/(h*h);1<u&&(u=F.sqrt(u),e*=u,h*=u);var u=e*e,w=h*h,u=(l==n?-1:1)*F.sqrt(Z((u*w-u*v*v-w*t*t)/\n",
|
||
"(u*v*v+w*t*t)));l=u*e*v/h+(b+k)/2;var u=u*-h*t/e+(d+p)/2,v=F.asin(((d-u)/h).toFixed(9));t=F.asin(((p-u)/h).toFixed(9));v=b<l?S-v:v;t=k<l?S-t:t;0>v&&(v=2*S+v);0>t&&(t=2*S+t);n&&v>t&&(v-=2*S);!n&&t>v&&(t-=2*S)}if(Z(t-v)>r){var c=t,w=k,G=p;t=v+r*(n&&t>v?1:-1);k=l+e*F.cos(t);p=u+h*F.sin(t);c=K(k,p,e,h,f,0,n,w,G,[t,c,l,u])}l=t-v;f=F.cos(v);r=F.sin(v);n=F.cos(t);t=F.sin(t);l=F.tan(l/4);e=4/3*e*l;l*=4/3*h;h=[b,d];b=[b+e*r,d-l*f];d=[k+e*t,p-l*n];k=[k,p];b[0]=2*h[0]-b[0];b[1]=2*h[1]-b[1];if(s)return[b,d,k].concat(c);\n",
|
||
"c=[b,d,k].concat(c).join().split(\",\");s=[];k=0;for(p=c.length;k<p;k++)s[k]=k%2?x(c[k-1],c[k],q).y:x(c[k],c[k+1],q).x;return s}function U(a,b,d,e,h,f,l,k){for(var n=[],p=[[],[] ],s,r,c,t,q=0;2>q;++q)0==q?(r=6*a-12*d+6*h,s=-3*a+9*d-9*h+3*l,c=3*d-3*a):(r=6*b-12*e+6*f,s=-3*b+9*e-9*f+3*k,c=3*e-3*b),1E-12>Z(s)?1E-12>Z(r)||(s=-c/r,0<s&&1>s&&n.push(s)):(t=r*r-4*c*s,c=F.sqrt(t),0>t||(t=(-r+c)/(2*s),0<t&&1>t&&n.push(t),s=(-r-c)/(2*s),0<s&&1>s&&n.push(s)));for(r=q=n.length;q--;)s=n[q],c=1-s,p[0][q]=c*c*c*a+3*\n",
|
||
"c*c*s*d+3*c*s*s*h+s*s*s*l,p[1][q]=c*c*c*b+3*c*c*s*e+3*c*s*s*f+s*s*s*k;p[0][r]=a;p[1][r]=b;p[0][r+1]=l;p[1][r+1]=k;p[0].length=p[1].length=r+2;return{min:{x:X.apply(0,p[0]),y:X.apply(0,p[1])},max:{x:W.apply(0,p[0]),y:W.apply(0,p[1])}}}function I(a,b){var e=!b&&A(a);if(!b&&e.curve)return d(e.curve);var f=G(a),l=b&&G(b),n={x:0,y:0,bx:0,by:0,X:0,Y:0,qx:null,qy:null},k={x:0,y:0,bx:0,by:0,X:0,Y:0,qx:null,qy:null},p=function(a,b,c){if(!a)return[\"C\",b.x,b.y,b.x,b.y,b.x,b.y];a[0]in{T:1,Q:1}||(b.qx=b.qy=null);\n",
|
||
"switch(a[0]){case \"M\":b.X=a[1];b.Y=a[2];break;case \"A\":a=[\"C\"].concat(K.apply(0,[b.x,b.y].concat(a.slice(1))));break;case \"S\":\"C\"==c||\"S\"==c?(c=2*b.x-b.bx,b=2*b.y-b.by):(c=b.x,b=b.y);a=[\"C\",c,b].concat(a.slice(1));break;case \"T\":\"Q\"==c||\"T\"==c?(b.qx=2*b.x-b.qx,b.qy=2*b.y-b.qy):(b.qx=b.x,b.qy=b.y);a=[\"C\"].concat(J(b.x,b.y,b.qx,b.qy,a[1],a[2]));break;case \"Q\":b.qx=a[1];b.qy=a[2];a=[\"C\"].concat(J(b.x,b.y,a[1],a[2],a[3],a[4]));break;case \"L\":a=[\"C\"].concat(h(b.x,b.y,a[1],a[2]));break;case \"H\":a=[\"C\"].concat(h(b.x,\n",
|
||
"b.y,a[1],b.y));break;case \"V\":a=[\"C\"].concat(h(b.x,b.y,b.x,a[1]));break;case \"Z\":a=[\"C\"].concat(h(b.x,b.y,b.X,b.Y))}return a},s=function(a,b){if(7<a[b].length){a[b].shift();for(var c=a[b];c.length;)q[b]=\"A\",l&&(u[b]=\"A\"),a.splice(b++,0,[\"C\"].concat(c.splice(0,6)));a.splice(b,1);v=W(f.length,l&&l.length||0)}},r=function(a,b,c,d,e){a&&b&&\"M\"==a[e][0]&&\"M\"!=b[e][0]&&(b.splice(e,0,[\"M\",d.x,d.y]),c.bx=0,c.by=0,c.x=a[e][1],c.y=a[e][2],v=W(f.length,l&&l.length||0))},q=[],u=[],c=\"\",t=\"\",x=0,v=W(f.length,\n",
|
||
"l&&l.length||0);for(;x<v;x++){f[x]&&(c=f[x][0]);\"C\"!=c&&(q[x]=c,x&&(t=q[x-1]));f[x]=p(f[x],n,t);\"A\"!=q[x]&&\"C\"==c&&(q[x]=\"C\");s(f,x);l&&(l[x]&&(c=l[x][0]),\"C\"!=c&&(u[x]=c,x&&(t=u[x-1])),l[x]=p(l[x],k,t),\"A\"!=u[x]&&\"C\"==c&&(u[x]=\"C\"),s(l,x));r(f,l,n,k,x);r(l,f,k,n,x);var w=f[x],z=l&&l[x],y=w.length,U=l&&z.length;n.x=w[y-2];n.y=w[y-1];n.bx=$(w[y-4])||n.x;n.by=$(w[y-3])||n.y;k.bx=l&&($(z[U-4])||k.x);k.by=l&&($(z[U-3])||k.y);k.x=l&&z[U-2];k.y=l&&z[U-1]}l||(e.curve=d(f));return l?[f,l]:f}function P(a,\n",
|
||
"b){for(var d=[],e=0,h=a.length;h-2*!b>e;e+=2){var f=[{x:+a[e-2],y:+a[e-1]},{x:+a[e],y:+a[e+1]},{x:+a[e+2],y:+a[e+3]},{x:+a[e+4],y:+a[e+5]}];b?e?h-4==e?f[3]={x:+a[0],y:+a[1]}:h-2==e&&(f[2]={x:+a[0],y:+a[1]},f[3]={x:+a[2],y:+a[3]}):f[0]={x:+a[h-2],y:+a[h-1]}:h-4==e?f[3]=f[2]:e||(f[0]={x:+a[e],y:+a[e+1]});d.push([\"C\",(-f[0].x+6*f[1].x+f[2].x)/6,(-f[0].y+6*f[1].y+f[2].y)/6,(f[1].x+6*f[2].x-f[3].x)/6,(f[1].y+6*f[2].y-f[3].y)/6,f[2].x,f[2].y])}return d}y=k.prototype;var Q=a.is,C=a._.clone,L=\"hasOwnProperty\",\n",
|
||
"N=/,?([a-z]),?/gi,$=parseFloat,F=Math,S=F.PI,X=F.min,W=F.max,ma=F.pow,Z=F.abs;M=n(1);var na=n(),ba=n(0,1),V=a._unit2px;a.path=A;a.path.getTotalLength=M;a.path.getPointAtLength=na;a.path.getSubpath=function(a,b,d){if(1E-6>this.getTotalLength(a)-d)return ba(a,b).end;a=ba(a,d,1);return b?ba(a,b).end:a};y.getTotalLength=function(){if(this.node.getTotalLength)return this.node.getTotalLength()};y.getPointAtLength=function(a){return na(this.attr(\"d\"),a)};y.getSubpath=function(b,d){return a.path.getSubpath(this.attr(\"d\"),\n",
|
||
"b,d)};a._.box=w;a.path.findDotsAtSegment=u;a.path.bezierBBox=p;a.path.isPointInsideBBox=b;a.path.isBBoxIntersect=q;a.path.intersection=function(a,b){return l(a,b)};a.path.intersectionNumber=function(a,b){return l(a,b,1)};a.path.isPointInside=function(a,d,e){var h=r(a);return b(h,d,e)&&1==l(a,[[\"M\",d,e],[\"H\",h.x2+10] ],1)%2};a.path.getBBox=r;a.path.get={path:function(a){return a.attr(\"path\")},circle:function(a){a=V(a);return x(a.cx,a.cy,a.r)},ellipse:function(a){a=V(a);return x(a.cx||0,a.cy||0,a.rx,\n",
|
||
"a.ry)},rect:function(a){a=V(a);return s(a.x||0,a.y||0,a.width,a.height,a.rx,a.ry)},image:function(a){a=V(a);return s(a.x||0,a.y||0,a.width,a.height)},line:function(a){return\"M\"+[a.attr(\"x1\")||0,a.attr(\"y1\")||0,a.attr(\"x2\"),a.attr(\"y2\")]},polyline:function(a){return\"M\"+a.attr(\"points\")},polygon:function(a){return\"M\"+a.attr(\"points\")+\"z\"},deflt:function(a){a=a.node.getBBox();return s(a.x,a.y,a.width,a.height)}};a.path.toRelative=function(b){var e=A(b),h=String.prototype.toLowerCase;if(e.rel)return d(e.rel);\n",
|
||
"a.is(b,\"array\")&&a.is(b&&b[0],\"array\")||(b=a.parsePathString(b));var f=[],l=0,n=0,k=0,p=0,s=0;\"M\"==b[0][0]&&(l=b[0][1],n=b[0][2],k=l,p=n,s++,f.push([\"M\",l,n]));for(var r=b.length;s<r;s++){var q=f[s]=[],x=b[s];if(x[0]!=h.call(x[0]))switch(q[0]=h.call(x[0]),q[0]){case \"a\":q[1]=x[1];q[2]=x[2];q[3]=x[3];q[4]=x[4];q[5]=x[5];q[6]=+(x[6]-l).toFixed(3);q[7]=+(x[7]-n).toFixed(3);break;case \"v\":q[1]=+(x[1]-n).toFixed(3);break;case \"m\":k=x[1],p=x[2];default:for(var c=1,t=x.length;c<t;c++)q[c]=+(x[c]-(c%2?l:\n",
|
||
"n)).toFixed(3)}else for(f[s]=[],\"m\"==x[0]&&(k=x[1]+l,p=x[2]+n),q=0,c=x.length;q<c;q++)f[s][q]=x[q];x=f[s].length;switch(f[s][0]){case \"z\":l=k;n=p;break;case \"h\":l+=+f[s][x-1];break;case \"v\":n+=+f[s][x-1];break;default:l+=+f[s][x-2],n+=+f[s][x-1]}}f.toString=z;e.rel=d(f);return f};a.path.toAbsolute=G;a.path.toCubic=I;a.path.map=function(a,b){if(!b)return a;var d,e,h,f,l,n,k;a=I(a);h=0;for(l=a.length;h<l;h++)for(k=a[h],f=1,n=k.length;f<n;f+=2)d=b.x(k[f],k[f+1]),e=b.y(k[f],k[f+1]),k[f]=d,k[f+1]=e;return a};\n",
|
||
"a.path.toString=z;a.path.clone=d});C.plugin(function(a,v,y,C){var A=Math.max,w=Math.min,z=function(a){this.items=[];this.bindings={};this.length=0;this.type=\"set\";if(a)for(var f=0,n=a.length;f<n;f++)a[f]&&(this[this.items.length]=this.items[this.items.length]=a[f],this.length++)};v=z.prototype;v.push=function(){for(var a,f,n=0,k=arguments.length;n<k;n++)if(a=arguments[n])f=this.items.length,this[f]=this.items[f]=a,this.length++;return this};v.pop=function(){this.length&&delete this[this.length--];\n",
|
||
"return this.items.pop()};v.forEach=function(a,f){for(var n=0,k=this.items.length;n<k&&!1!==a.call(f,this.items[n],n);n++);return this};v.animate=function(d,f,n,u){\"function\"!=typeof n||n.length||(u=n,n=L.linear);d instanceof a._.Animation&&(u=d.callback,n=d.easing,f=n.dur,d=d.attr);var p=arguments;if(a.is(d,\"array\")&&a.is(p[p.length-1],\"array\"))var b=!0;var q,e=function(){q?this.b=q:q=this.b},l=0,r=u&&function(){l++==this.length&&u.call(this)};return this.forEach(function(a,l){k.once(\"snap.animcreated.\"+\n",
|
||
"a.id,e);b?p[l]&&a.animate.apply(a,p[l]):a.animate(d,f,n,r)})};v.remove=function(){for(;this.length;)this.pop().remove();return this};v.bind=function(a,f,k){var u={};if(\"function\"==typeof f)this.bindings[a]=f;else{var p=k||a;this.bindings[a]=function(a){u[p]=a;f.attr(u)}}return this};v.attr=function(a){var f={},k;for(k in a)if(this.bindings[k])this.bindings[k](a[k]);else f[k]=a[k];a=0;for(k=this.items.length;a<k;a++)this.items[a].attr(f);return this};v.clear=function(){for(;this.length;)this.pop()};\n",
|
||
"v.splice=function(a,f,k){a=0>a?A(this.length+a,0):a;f=A(0,w(this.length-a,f));var u=[],p=[],b=[],q;for(q=2;q<arguments.length;q++)b.push(arguments[q]);for(q=0;q<f;q++)p.push(this[a+q]);for(;q<this.length-a;q++)u.push(this[a+q]);var e=b.length;for(q=0;q<e+u.length;q++)this.items[a+q]=this[a+q]=q<e?b[q]:u[q-e];for(q=this.items.length=this.length-=f-e;this[q];)delete this[q++];return new z(p)};v.exclude=function(a){for(var f=0,k=this.length;f<k;f++)if(this[f]==a)return this.splice(f,1),!0;return!1};\n",
|
||
"v.insertAfter=function(a){for(var f=this.items.length;f--;)this.items[f].insertAfter(a);return this};v.getBBox=function(){for(var a=[],f=[],k=[],u=[],p=this.items.length;p--;)if(!this.items[p].removed){var b=this.items[p].getBBox();a.push(b.x);f.push(b.y);k.push(b.x+b.width);u.push(b.y+b.height)}a=w.apply(0,a);f=w.apply(0,f);k=A.apply(0,k);u=A.apply(0,u);return{x:a,y:f,x2:k,y2:u,width:k-a,height:u-f,cx:a+(k-a)/2,cy:f+(u-f)/2}};v.clone=function(a){a=new z;for(var f=0,k=this.items.length;f<k;f++)a.push(this.items[f].clone());\n",
|
||
"return a};v.toString=function(){return\"Snap\\u2018s set\"};v.type=\"set\";a.set=function(){var a=new z;arguments.length&&a.push.apply(a,Array.prototype.slice.call(arguments,0));return a}});C.plugin(function(a,v,y,C){function A(a){var b=a[0];switch(b.toLowerCase()){case \"t\":return[b,0,0];case \"m\":return[b,1,0,0,1,0,0];case \"r\":return 4==a.length?[b,0,a[2],a[3] ]:[b,0];case \"s\":return 5==a.length?[b,1,1,a[3],a[4] ]:3==a.length?[b,1,1]:[b,1]}}function w(b,d,f){d=q(d).replace(/\\.{3}|\\u2026/g,b);b=a.parseTransformString(b)||\n",
|
||
"[];d=a.parseTransformString(d)||[];for(var k=Math.max(b.length,d.length),p=[],v=[],h=0,w,z,y,I;h<k;h++){y=b[h]||A(d[h]);I=d[h]||A(y);if(y[0]!=I[0]||\"r\"==y[0].toLowerCase()&&(y[2]!=I[2]||y[3]!=I[3])||\"s\"==y[0].toLowerCase()&&(y[3]!=I[3]||y[4]!=I[4])){b=a._.transform2matrix(b,f());d=a._.transform2matrix(d,f());p=[[\"m\",b.a,b.b,b.c,b.d,b.e,b.f] ];v=[[\"m\",d.a,d.b,d.c,d.d,d.e,d.f] ];break}p[h]=[];v[h]=[];w=0;for(z=Math.max(y.length,I.length);w<z;w++)w in y&&(p[h][w]=y[w]),w in I&&(v[h][w]=I[w])}return{from:u(p),\n",
|
||
"to:u(v),f:n(p)}}function z(a){return a}function d(a){return function(b){return+b.toFixed(3)+a}}function f(b){return a.rgb(b[0],b[1],b[2])}function n(a){var b=0,d,f,k,n,h,p,q=[];d=0;for(f=a.length;d<f;d++){h=\"[\";p=['\"'+a[d][0]+'\"'];k=1;for(n=a[d].length;k<n;k++)p[k]=\"val[\"+b++ +\"]\";h+=p+\"]\";q[d]=h}return Function(\"val\",\"return Snap.path.toString.call([\"+q+\"])\")}function u(a){for(var b=[],d=0,f=a.length;d<f;d++)for(var k=1,n=a[d].length;k<n;k++)b.push(a[d][k]);return b}var p={},b=/[a-z]+$/i,q=String;\n",
|
||
"p.stroke=p.fill=\"colour\";v.prototype.equal=function(a,b){return k(\"snap.util.equal\",this,a,b).firstDefined()};k.on(\"snap.util.equal\",function(e,k){var r,s;r=q(this.attr(e)||\"\");var x=this;if(r==+r&&k==+k)return{from:+r,to:+k,f:z};if(\"colour\"==p[e])return r=a.color(r),s=a.color(k),{from:[r.r,r.g,r.b,r.opacity],to:[s.r,s.g,s.b,s.opacity],f:f};if(\"transform\"==e||\"gradientTransform\"==e||\"patternTransform\"==e)return k instanceof a.Matrix&&(k=k.toTransformString()),a._.rgTransform.test(k)||(k=a._.svgTransform2string(k)),\n",
|
||
"w(r,k,function(){return x.getBBox(1)});if(\"d\"==e||\"path\"==e)return r=a.path.toCubic(r,k),{from:u(r[0]),to:u(r[1]),f:n(r[0])};if(\"points\"==e)return r=q(r).split(a._.separator),s=q(k).split(a._.separator),{from:r,to:s,f:function(a){return a}};aUnit=r.match(b);s=q(k).match(b);return aUnit&&aUnit==s?{from:parseFloat(r),to:parseFloat(k),f:d(aUnit)}:{from:this.asPX(e),to:this.asPX(e,k),f:z}})});C.plugin(function(a,v,y,C){var A=v.prototype,w=\"createTouch\"in C.doc;v=\"click dblclick mousedown mousemove mouseout mouseover mouseup touchstart touchmove touchend touchcancel\".split(\" \");\n",
|
||
"var z={mousedown:\"touchstart\",mousemove:\"touchmove\",mouseup:\"touchend\"},d=function(a,b){var d=\"y\"==a?\"scrollTop\":\"scrollLeft\",e=b&&b.node?b.node.ownerDocument:C.doc;return e[d in e.documentElement?\"documentElement\":\"body\"][d]},f=function(){this.returnValue=!1},n=function(){return this.originalEvent.preventDefault()},u=function(){this.cancelBubble=!0},p=function(){return this.originalEvent.stopPropagation()},b=function(){if(C.doc.addEventListener)return function(a,b,e,f){var k=w&&z[b]?z[b]:b,l=function(k){var l=\n",
|
||
"d(\"y\",f),q=d(\"x\",f);if(w&&z.hasOwnProperty(b))for(var r=0,u=k.targetTouches&&k.targetTouches.length;r<u;r++)if(k.targetTouches[r].target==a||a.contains(k.targetTouches[r].target)){u=k;k=k.targetTouches[r];k.originalEvent=u;k.preventDefault=n;k.stopPropagation=p;break}return e.call(f,k,k.clientX+q,k.clientY+l)};b!==k&&a.addEventListener(b,l,!1);a.addEventListener(k,l,!1);return function(){b!==k&&a.removeEventListener(b,l,!1);a.removeEventListener(k,l,!1);return!0}};if(C.doc.attachEvent)return function(a,\n",
|
||
"b,e,h){var k=function(a){a=a||h.node.ownerDocument.window.event;var b=d(\"y\",h),k=d(\"x\",h),k=a.clientX+k,b=a.clientY+b;a.preventDefault=a.preventDefault||f;a.stopPropagation=a.stopPropagation||u;return e.call(h,a,k,b)};a.attachEvent(\"on\"+b,k);return function(){a.detachEvent(\"on\"+b,k);return!0}}}(),q=[],e=function(a){for(var b=a.clientX,e=a.clientY,f=d(\"y\"),l=d(\"x\"),n,p=q.length;p--;){n=q[p];if(w)for(var r=a.touches&&a.touches.length,u;r--;){if(u=a.touches[r],u.identifier==n.el._drag.id||n.el.node.contains(u.target)){b=\n",
|
||
"u.clientX;e=u.clientY;(a.originalEvent?a.originalEvent:a).preventDefault();break}}else a.preventDefault();b+=l;e+=f;k(\"snap.drag.move.\"+n.el.id,n.move_scope||n.el,b-n.el._drag.x,e-n.el._drag.y,b,e,a)}},l=function(b){a.unmousemove(e).unmouseup(l);for(var d=q.length,f;d--;)f=q[d],f.el._drag={},k(\"snap.drag.end.\"+f.el.id,f.end_scope||f.start_scope||f.move_scope||f.el,b);q=[]};for(y=v.length;y--;)(function(d){a[d]=A[d]=function(e,f){a.is(e,\"function\")&&(this.events=this.events||[],this.events.push({name:d,\n",
|
||
"f:e,unbind:b(this.node||document,d,e,f||this)}));return this};a[\"un\"+d]=A[\"un\"+d]=function(a){for(var b=this.events||[],e=b.length;e--;)if(b[e].name==d&&(b[e].f==a||!a)){b[e].unbind();b.splice(e,1);!b.length&&delete this.events;break}return this}})(v[y]);A.hover=function(a,b,d,e){return this.mouseover(a,d).mouseout(b,e||d)};A.unhover=function(a,b){return this.unmouseover(a).unmouseout(b)};var r=[];A.drag=function(b,d,f,h,n,p){function u(r,v,w){(r.originalEvent||r).preventDefault();this._drag.x=v;\n",
|
||
"this._drag.y=w;this._drag.id=r.identifier;!q.length&&a.mousemove(e).mouseup(l);q.push({el:this,move_scope:h,start_scope:n,end_scope:p});d&&k.on(\"snap.drag.start.\"+this.id,d);b&&k.on(\"snap.drag.move.\"+this.id,b);f&&k.on(\"snap.drag.end.\"+this.id,f);k(\"snap.drag.start.\"+this.id,n||h||this,v,w,r)}if(!arguments.length){var v;return this.drag(function(a,b){this.attr({transform:v+(v?\"T\":\"t\")+[a,b]})},function(){v=this.transform().local})}this._drag={};r.push({el:this,start:u});this.mousedown(u);return this};\n",
|
||
"A.undrag=function(){for(var b=r.length;b--;)r[b].el==this&&(this.unmousedown(r[b].start),r.splice(b,1),k.unbind(\"snap.drag.*.\"+this.id));!r.length&&a.unmousemove(e).unmouseup(l);return this}});C.plugin(function(a,v,y,C){y=y.prototype;var A=/^\\s*url\\((.+)\\)/,w=String,z=a._.$;a.filter={};y.filter=function(d){var f=this;\"svg\"!=f.type&&(f=f.paper);d=a.parse(w(d));var k=a._.id(),u=z(\"filter\");z(u,{id:k,filterUnits:\"userSpaceOnUse\"});u.appendChild(d.node);f.defs.appendChild(u);return new v(u)};k.on(\"snap.util.getattr.filter\",\n",
|
||
"function(){k.stop();var d=z(this.node,\"filter\");if(d)return(d=w(d).match(A))&&a.select(d[1])});k.on(\"snap.util.attr.filter\",function(d){if(d instanceof v&&\"filter\"==d.type){k.stop();var f=d.node.id;f||(z(d.node,{id:d.id}),f=d.id);z(this.node,{filter:a.url(f)})}d&&\"none\"!=d||(k.stop(),this.node.removeAttribute(\"filter\"))});a.filter.blur=function(d,f){null==d&&(d=2);return a.format('<feGaussianBlur stdDeviation=\"{def}\"/>',{def:null==f?d:[d,f]})};a.filter.blur.toString=function(){return this()};a.filter.shadow=\n",
|
||
"function(d,f,k,u,p){\"string\"==typeof k&&(p=u=k,k=4);\"string\"!=typeof u&&(p=u,u=\"#000\");null==k&&(k=4);null==p&&(p=1);null==d&&(d=0,f=2);null==f&&(f=d);u=a.color(u||\"#000\");return a.format('<feGaussianBlur in=\"SourceAlpha\" stdDeviation=\"{blur}\"/><feOffset dx=\"{dx}\" dy=\"{dy}\" result=\"offsetblur\"/><feFlood flood-color=\"{color}\"/><feComposite in2=\"offsetblur\" operator=\"in\"/><feComponentTransfer><feFuncA type=\"linear\" slope=\"{opacity}\"/></feComponentTransfer><feMerge><feMergeNode/><feMergeNode in=\"SourceGraphic\"/></feMerge>',\n",
|
||
"{color:u,dx:d,dy:f,blur:k,opacity:p})};a.filter.shadow.toString=function(){return this()};a.filter.grayscale=function(d){null==d&&(d=1);return a.format('<feColorMatrix type=\"matrix\" values=\"{a} {b} {c} 0 0 {d} {e} {f} 0 0 {g} {b} {h} 0 0 0 0 0 1 0\"/>',{a:0.2126+0.7874*(1-d),b:0.7152-0.7152*(1-d),c:0.0722-0.0722*(1-d),d:0.2126-0.2126*(1-d),e:0.7152+0.2848*(1-d),f:0.0722-0.0722*(1-d),g:0.2126-0.2126*(1-d),h:0.0722+0.9278*(1-d)})};a.filter.grayscale.toString=function(){return this()};a.filter.sepia=\n",
|
||
"function(d){null==d&&(d=1);return a.format('<feColorMatrix type=\"matrix\" values=\"{a} {b} {c} 0 0 {d} {e} {f} 0 0 {g} {h} {i} 0 0 0 0 0 1 0\"/>',{a:0.393+0.607*(1-d),b:0.769-0.769*(1-d),c:0.189-0.189*(1-d),d:0.349-0.349*(1-d),e:0.686+0.314*(1-d),f:0.168-0.168*(1-d),g:0.272-0.272*(1-d),h:0.534-0.534*(1-d),i:0.131+0.869*(1-d)})};a.filter.sepia.toString=function(){return this()};a.filter.saturate=function(d){null==d&&(d=1);return a.format('<feColorMatrix type=\"saturate\" values=\"{amount}\"/>',{amount:1-\n",
|
||
"d})};a.filter.saturate.toString=function(){return this()};a.filter.hueRotate=function(d){return a.format('<feColorMatrix type=\"hueRotate\" values=\"{angle}\"/>',{angle:d||0})};a.filter.hueRotate.toString=function(){return this()};a.filter.invert=function(d){null==d&&(d=1);return a.format('<feComponentTransfer><feFuncR type=\"table\" tableValues=\"{amount} {amount2}\"/><feFuncG type=\"table\" tableValues=\"{amount} {amount2}\"/><feFuncB type=\"table\" tableValues=\"{amount} {amount2}\"/></feComponentTransfer>',{amount:d,\n",
|
||
"amount2:1-d})};a.filter.invert.toString=function(){return this()};a.filter.brightness=function(d){null==d&&(d=1);return a.format('<feComponentTransfer><feFuncR type=\"linear\" slope=\"{amount}\"/><feFuncG type=\"linear\" slope=\"{amount}\"/><feFuncB type=\"linear\" slope=\"{amount}\"/></feComponentTransfer>',{amount:d})};a.filter.brightness.toString=function(){return this()};a.filter.contrast=function(d){null==d&&(d=1);return a.format('<feComponentTransfer><feFuncR type=\"linear\" slope=\"{amount}\" intercept=\"{amount2}\"/><feFuncG type=\"linear\" slope=\"{amount}\" intercept=\"{amount2}\"/><feFuncB type=\"linear\" slope=\"{amount}\" intercept=\"{amount2}\"/></feComponentTransfer>',\n",
|
||
"{amount:d,amount2:0.5-d/2})};a.filter.contrast.toString=function(){return this()}});return C});\n",
|
||
"\n",
|
||
"]]> </script>\n",
|
||
"<script> <![CDATA[\n",
|
||
"\n",
|
||
"(function (glob, factory) {\n",
|
||
" // AMD support\n",
|
||
" if (typeof define === \"function\" && define.amd) {\n",
|
||
" // Define as an anonymous module\n",
|
||
" define(\"Gadfly\", [\"Snap.svg\"], function (Snap) {\n",
|
||
" return factory(Snap);\n",
|
||
" });\n",
|
||
" } else {\n",
|
||
" // Browser globals (glob is window)\n",
|
||
" // Snap adds itself to window\n",
|
||
" glob.Gadfly = factory(glob.Snap);\n",
|
||
" }\n",
|
||
"}(this, function (Snap) {\n",
|
||
"\n",
|
||
"var Gadfly = {};\n",
|
||
"\n",
|
||
"// Get an x/y coordinate value in pixels\n",
|
||
"var xPX = function(fig, x) {\n",
|
||
" var client_box = fig.node.getBoundingClientRect();\n",
|
||
" return x * fig.node.viewBox.baseVal.width / client_box.width;\n",
|
||
"};\n",
|
||
"\n",
|
||
"var yPX = function(fig, y) {\n",
|
||
" var client_box = fig.node.getBoundingClientRect();\n",
|
||
" return y * fig.node.viewBox.baseVal.height / client_box.height;\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"Snap.plugin(function (Snap, Element, Paper, global) {\n",
|
||
" // Traverse upwards from a snap element to find and return the first\n",
|
||
" // note with the \"plotroot\" class.\n",
|
||
" Element.prototype.plotroot = function () {\n",
|
||
" var element = this;\n",
|
||
" while (!element.hasClass(\"plotroot\") && element.parent() != null) {\n",
|
||
" element = element.parent();\n",
|
||
" }\n",
|
||
" return element;\n",
|
||
" };\n",
|
||
"\n",
|
||
" Element.prototype.svgroot = function () {\n",
|
||
" var element = this;\n",
|
||
" while (element.node.nodeName != \"svg\" && element.parent() != null) {\n",
|
||
" element = element.parent();\n",
|
||
" }\n",
|
||
" return element;\n",
|
||
" };\n",
|
||
"\n",
|
||
" Element.prototype.plotbounds = function () {\n",
|
||
" var root = this.plotroot()\n",
|
||
" var bbox = root.select(\".guide.background\").node.getBBox();\n",
|
||
" return {\n",
|
||
" x0: bbox.x,\n",
|
||
" x1: bbox.x + bbox.width,\n",
|
||
" y0: bbox.y,\n",
|
||
" y1: bbox.y + bbox.height\n",
|
||
" };\n",
|
||
" };\n",
|
||
"\n",
|
||
" Element.prototype.plotcenter = function () {\n",
|
||
" var root = this.plotroot()\n",
|
||
" var bbox = root.select(\".guide.background\").node.getBBox();\n",
|
||
" return {\n",
|
||
" x: bbox.x + bbox.width / 2,\n",
|
||
" y: bbox.y + bbox.height / 2\n",
|
||
" };\n",
|
||
" };\n",
|
||
"\n",
|
||
" // Emulate IE style mouseenter/mouseleave events, since Microsoft always\n",
|
||
" // does everything right.\n",
|
||
" // See: http://www.dynamic-tools.net/toolbox/isMouseLeaveOrEnter/\n",
|
||
" var events = [\"mouseenter\", \"mouseleave\"];\n",
|
||
"\n",
|
||
" for (i in events) {\n",
|
||
" (function (event_name) {\n",
|
||
" var event_name = events[i];\n",
|
||
" Element.prototype[event_name] = function (fn, scope) {\n",
|
||
" if (Snap.is(fn, \"function\")) {\n",
|
||
" var fn2 = function (event) {\n",
|
||
" if (event.type != \"mouseover\" && event.type != \"mouseout\") {\n",
|
||
" return;\n",
|
||
" }\n",
|
||
"\n",
|
||
" var reltg = event.relatedTarget ? event.relatedTarget :\n",
|
||
" event.type == \"mouseout\" ? event.toElement : event.fromElement;\n",
|
||
" while (reltg && reltg != this.node) reltg = reltg.parentNode;\n",
|
||
"\n",
|
||
" if (reltg != this.node) {\n",
|
||
" return fn.apply(this, event);\n",
|
||
" }\n",
|
||
" };\n",
|
||
"\n",
|
||
" if (event_name == \"mouseenter\") {\n",
|
||
" this.mouseover(fn2, scope);\n",
|
||
" } else {\n",
|
||
" this.mouseout(fn2, scope);\n",
|
||
" }\n",
|
||
" }\n",
|
||
" return this;\n",
|
||
" };\n",
|
||
" })(events[i]);\n",
|
||
" }\n",
|
||
"\n",
|
||
"\n",
|
||
" Element.prototype.mousewheel = function (fn, scope) {\n",
|
||
" if (Snap.is(fn, \"function\")) {\n",
|
||
" var el = this;\n",
|
||
" var fn2 = function (event) {\n",
|
||
" fn.apply(el, [event]);\n",
|
||
" };\n",
|
||
" }\n",
|
||
"\n",
|
||
" this.node.addEventListener(\n",
|
||
" /Firefox/i.test(navigator.userAgent) ? \"DOMMouseScroll\" : \"mousewheel\",\n",
|
||
" fn2);\n",
|
||
"\n",
|
||
" return this;\n",
|
||
" };\n",
|
||
"\n",
|
||
"\n",
|
||
" // Snap's attr function can be too slow for things like panning/zooming.\n",
|
||
" // This is a function to directly update element attributes without going\n",
|
||
" // through eve.\n",
|
||
" Element.prototype.attribute = function(key, val) {\n",
|
||
" if (val === undefined) {\n",
|
||
" return this.node.getAttribute(key);\n",
|
||
" } else {\n",
|
||
" this.node.setAttribute(key, val);\n",
|
||
" return this;\n",
|
||
" }\n",
|
||
" };\n",
|
||
"\n",
|
||
" Element.prototype.init_gadfly = function() {\n",
|
||
" this.mouseenter(Gadfly.plot_mouseover)\n",
|
||
" .mouseleave(Gadfly.plot_mouseout)\n",
|
||
" .dblclick(Gadfly.plot_dblclick)\n",
|
||
" .mousewheel(Gadfly.guide_background_scroll)\n",
|
||
" .drag(Gadfly.guide_background_drag_onmove,\n",
|
||
" Gadfly.guide_background_drag_onstart,\n",
|
||
" Gadfly.guide_background_drag_onend);\n",
|
||
" this.mouseenter(function (event) {\n",
|
||
" init_pan_zoom(this.plotroot());\n",
|
||
" });\n",
|
||
" return this;\n",
|
||
" };\n",
|
||
"});\n",
|
||
"\n",
|
||
"\n",
|
||
"// When the plot is moused over, emphasize the grid lines.\n",
|
||
"Gadfly.plot_mouseover = function(event) {\n",
|
||
" var root = this.plotroot();\n",
|
||
"\n",
|
||
" var keyboard_zoom = function(event) {\n",
|
||
" if (event.which == 187) { // plus\n",
|
||
" increase_zoom_by_position(root, 0.1, true);\n",
|
||
" } else if (event.which == 189) { // minus\n",
|
||
" increase_zoom_by_position(root, -0.1, true);\n",
|
||
" }\n",
|
||
" };\n",
|
||
" root.data(\"keyboard_zoom\", keyboard_zoom);\n",
|
||
" window.addEventListener(\"keyup\", keyboard_zoom);\n",
|
||
"\n",
|
||
" var xgridlines = root.select(\".xgridlines\"),\n",
|
||
" ygridlines = root.select(\".ygridlines\");\n",
|
||
"\n",
|
||
" xgridlines.data(\"unfocused_strokedash\",\n",
|
||
" xgridlines.attribute(\"stroke-dasharray\").replace(/(\\d)(,|$)/g, \"$1mm$2\"));\n",
|
||
" ygridlines.data(\"unfocused_strokedash\",\n",
|
||
" ygridlines.attribute(\"stroke-dasharray\").replace(/(\\d)(,|$)/g, \"$1mm$2\"));\n",
|
||
"\n",
|
||
" // emphasize grid lines\n",
|
||
" var destcolor = root.data(\"focused_xgrid_color\");\n",
|
||
" xgridlines.attribute(\"stroke-dasharray\", \"none\")\n",
|
||
" .selectAll(\"path\")\n",
|
||
" .animate({stroke: destcolor}, 250);\n",
|
||
"\n",
|
||
" destcolor = root.data(\"focused_ygrid_color\");\n",
|
||
" ygridlines.attribute(\"stroke-dasharray\", \"none\")\n",
|
||
" .selectAll(\"path\")\n",
|
||
" .animate({stroke: destcolor}, 250);\n",
|
||
"\n",
|
||
" // reveal zoom slider\n",
|
||
" root.select(\".zoomslider\")\n",
|
||
" .animate({opacity: 1.0}, 250);\n",
|
||
"};\n",
|
||
"\n",
|
||
"// Reset pan and zoom on double click\n",
|
||
"Gadfly.plot_dblclick = function(event) {\n",
|
||
" set_plot_pan_zoom(this.plotroot(), 0.0, 0.0, 1.0);\n",
|
||
"};\n",
|
||
"\n",
|
||
"// Unemphasize grid lines on mouse out.\n",
|
||
"Gadfly.plot_mouseout = function(event) {\n",
|
||
" var root = this.plotroot();\n",
|
||
"\n",
|
||
" window.removeEventListener(\"keyup\", root.data(\"keyboard_zoom\"));\n",
|
||
" root.data(\"keyboard_zoom\", undefined);\n",
|
||
"\n",
|
||
" var xgridlines = root.select(\".xgridlines\"),\n",
|
||
" ygridlines = root.select(\".ygridlines\");\n",
|
||
"\n",
|
||
" var destcolor = root.data(\"unfocused_xgrid_color\");\n",
|
||
"\n",
|
||
" xgridlines.attribute(\"stroke-dasharray\", xgridlines.data(\"unfocused_strokedash\"))\n",
|
||
" .selectAll(\"path\")\n",
|
||
" .animate({stroke: destcolor}, 250);\n",
|
||
"\n",
|
||
" destcolor = root.data(\"unfocused_ygrid_color\");\n",
|
||
" ygridlines.attribute(\"stroke-dasharray\", ygridlines.data(\"unfocused_strokedash\"))\n",
|
||
" .selectAll(\"path\")\n",
|
||
" .animate({stroke: destcolor}, 250);\n",
|
||
"\n",
|
||
" // hide zoom slider\n",
|
||
" root.select(\".zoomslider\")\n",
|
||
" .animate({opacity: 0.0}, 250);\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"var set_geometry_transform = function(root, tx, ty, scale) {\n",
|
||
" var xscalable = root.hasClass(\"xscalable\"),\n",
|
||
" yscalable = root.hasClass(\"yscalable\");\n",
|
||
"\n",
|
||
" var old_scale = root.data(\"scale\");\n",
|
||
"\n",
|
||
" var xscale = xscalable ? scale : 1.0,\n",
|
||
" yscale = yscalable ? scale : 1.0;\n",
|
||
"\n",
|
||
" tx = xscalable ? tx : 0.0;\n",
|
||
" ty = yscalable ? ty : 0.0;\n",
|
||
"\n",
|
||
" var t = new Snap.Matrix().translate(tx, ty).scale(xscale, yscale);\n",
|
||
"\n",
|
||
" root.selectAll(\".geometry, image\")\n",
|
||
" .forEach(function (element, i) {\n",
|
||
" element.transform(t);\n",
|
||
" });\n",
|
||
"\n",
|
||
" bounds = root.plotbounds();\n",
|
||
"\n",
|
||
" if (yscalable) {\n",
|
||
" var xfixed_t = new Snap.Matrix().translate(0, ty).scale(1.0, yscale);\n",
|
||
" root.selectAll(\".xfixed\")\n",
|
||
" .forEach(function (element, i) {\n",
|
||
" element.transform(xfixed_t);\n",
|
||
" });\n",
|
||
"\n",
|
||
" root.select(\".ylabels\")\n",
|
||
" .transform(xfixed_t)\n",
|
||
" .selectAll(\"text\")\n",
|
||
" .forEach(function (element, i) {\n",
|
||
" if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
|
||
" var cx = element.asPX(\"x\"),\n",
|
||
" cy = element.asPX(\"y\");\n",
|
||
" var st = element.data(\"static_transform\");\n",
|
||
" unscale_t = new Snap.Matrix();\n",
|
||
" unscale_t.scale(1, 1/scale, cx, cy).add(st);\n",
|
||
" element.transform(unscale_t);\n",
|
||
"\n",
|
||
" var y = cy * scale + ty;\n",
|
||
" element.attr(\"visibility\",\n",
|
||
" bounds.y0 <= y && y <= bounds.y1 ? \"visible\" : \"hidden\");\n",
|
||
" }\n",
|
||
" });\n",
|
||
" }\n",
|
||
"\n",
|
||
" if (xscalable) {\n",
|
||
" var yfixed_t = new Snap.Matrix().translate(tx, 0).scale(xscale, 1.0);\n",
|
||
" var xtrans = new Snap.Matrix().translate(tx, 0);\n",
|
||
" root.selectAll(\".yfixed\")\n",
|
||
" .forEach(function (element, i) {\n",
|
||
" element.transform(yfixed_t);\n",
|
||
" });\n",
|
||
"\n",
|
||
" root.select(\".xlabels\")\n",
|
||
" .transform(yfixed_t)\n",
|
||
" .selectAll(\"text\")\n",
|
||
" .forEach(function (element, i) {\n",
|
||
" if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
|
||
" var cx = element.asPX(\"x\"),\n",
|
||
" cy = element.asPX(\"y\");\n",
|
||
" var st = element.data(\"static_transform\");\n",
|
||
" unscale_t = new Snap.Matrix();\n",
|
||
" unscale_t.scale(1/scale, 1, cx, cy).add(st);\n",
|
||
"\n",
|
||
" element.transform(unscale_t);\n",
|
||
"\n",
|
||
" var x = cx * scale + tx;\n",
|
||
" element.attr(\"visibility\",\n",
|
||
" bounds.x0 <= x && x <= bounds.x1 ? \"visible\" : \"hidden\");\n",
|
||
" }\n",
|
||
" });\n",
|
||
" }\n",
|
||
"\n",
|
||
" // we must unscale anything that is scale invariance: widths, raiduses, etc.\n",
|
||
" var size_attribs = [\"font-size\"];\n",
|
||
" var unscaled_selection = \".geometry, .geometry *\";\n",
|
||
" if (xscalable) {\n",
|
||
" size_attribs.push(\"rx\");\n",
|
||
" unscaled_selection += \", .xgridlines\";\n",
|
||
" }\n",
|
||
" if (yscalable) {\n",
|
||
" size_attribs.push(\"ry\");\n",
|
||
" unscaled_selection += \", .ygridlines\";\n",
|
||
" }\n",
|
||
"\n",
|
||
" root.selectAll(unscaled_selection)\n",
|
||
" .forEach(function (element, i) {\n",
|
||
" // circle need special help\n",
|
||
" if (element.node.nodeName == \"circle\") {\n",
|
||
" var cx = element.attribute(\"cx\"),\n",
|
||
" cy = element.attribute(\"cy\");\n",
|
||
" unscale_t = new Snap.Matrix().scale(1/xscale, 1/yscale,\n",
|
||
" cx, cy);\n",
|
||
" element.transform(unscale_t);\n",
|
||
" return;\n",
|
||
" }\n",
|
||
"\n",
|
||
" for (i in size_attribs) {\n",
|
||
" var key = size_attribs[i];\n",
|
||
" var val = parseFloat(element.attribute(key));\n",
|
||
" if (val !== undefined && val != 0 && !isNaN(val)) {\n",
|
||
" element.attribute(key, val * old_scale / scale);\n",
|
||
" }\n",
|
||
" }\n",
|
||
" });\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"// Find the most appropriate tick scale and update label visibility.\n",
|
||
"var update_tickscale = function(root, scale, axis) {\n",
|
||
" if (!root.hasClass(axis + \"scalable\")) return;\n",
|
||
"\n",
|
||
" var tickscales = root.data(axis + \"tickscales\");\n",
|
||
" var best_tickscale = 1.0;\n",
|
||
" var best_tickscale_dist = Infinity;\n",
|
||
" for (tickscale in tickscales) {\n",
|
||
" var dist = Math.abs(Math.log(tickscale) - Math.log(scale));\n",
|
||
" if (dist < best_tickscale_dist) {\n",
|
||
" best_tickscale_dist = dist;\n",
|
||
" best_tickscale = tickscale;\n",
|
||
" }\n",
|
||
" }\n",
|
||
"\n",
|
||
" if (best_tickscale != root.data(axis + \"tickscale\")) {\n",
|
||
" root.data(axis + \"tickscale\", best_tickscale);\n",
|
||
" var mark_inscale_gridlines = function (element, i) {\n",
|
||
" var inscale = element.attr(\"gadfly:scale\") == best_tickscale;\n",
|
||
" element.attribute(\"gadfly:inscale\", inscale);\n",
|
||
" element.attr(\"visibility\", inscale ? \"visible\" : \"hidden\");\n",
|
||
" };\n",
|
||
"\n",
|
||
" var mark_inscale_labels = function (element, i) {\n",
|
||
" var inscale = element.attr(\"gadfly:scale\") == best_tickscale;\n",
|
||
" element.attribute(\"gadfly:inscale\", inscale);\n",
|
||
" element.attr(\"visibility\", inscale ? \"visible\" : \"hidden\");\n",
|
||
" };\n",
|
||
"\n",
|
||
" root.select(\".\" + axis + \"gridlines\").selectAll(\"path\").forEach(mark_inscale_gridlines);\n",
|
||
" root.select(\".\" + axis + \"labels\").selectAll(\"text\").forEach(mark_inscale_labels);\n",
|
||
" }\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"var set_plot_pan_zoom = function(root, tx, ty, scale) {\n",
|
||
" var old_scale = root.data(\"scale\");\n",
|
||
" var bounds = root.plotbounds();\n",
|
||
"\n",
|
||
" var width = bounds.x1 - bounds.x0,\n",
|
||
" height = bounds.y1 - bounds.y0;\n",
|
||
"\n",
|
||
" // compute the viewport derived from tx, ty, and scale\n",
|
||
" var x_min = -width * scale - (scale * width - width),\n",
|
||
" x_max = width * scale,\n",
|
||
" y_min = -height * scale - (scale * height - height),\n",
|
||
" y_max = height * scale;\n",
|
||
"\n",
|
||
" var x0 = bounds.x0 - scale * bounds.x0,\n",
|
||
" y0 = bounds.y0 - scale * bounds.y0;\n",
|
||
"\n",
|
||
" var tx = Math.max(Math.min(tx - x0, x_max), x_min),\n",
|
||
" ty = Math.max(Math.min(ty - y0, y_max), y_min);\n",
|
||
"\n",
|
||
" tx += x0;\n",
|
||
" ty += y0;\n",
|
||
"\n",
|
||
" // when the scale change, we may need to alter which set of\n",
|
||
" // ticks is being displayed\n",
|
||
" if (scale != old_scale) {\n",
|
||
" update_tickscale(root, scale, \"x\");\n",
|
||
" update_tickscale(root, scale, \"y\");\n",
|
||
" }\n",
|
||
"\n",
|
||
" set_geometry_transform(root, tx, ty, scale);\n",
|
||
"\n",
|
||
" root.data(\"scale\", scale);\n",
|
||
" root.data(\"tx\", tx);\n",
|
||
" root.data(\"ty\", ty);\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"var scale_centered_translation = function(root, scale) {\n",
|
||
" var bounds = root.plotbounds();\n",
|
||
"\n",
|
||
" var width = bounds.x1 - bounds.x0,\n",
|
||
" height = bounds.y1 - bounds.y0;\n",
|
||
"\n",
|
||
" var tx0 = root.data(\"tx\"),\n",
|
||
" ty0 = root.data(\"ty\");\n",
|
||
"\n",
|
||
" var scale0 = root.data(\"scale\");\n",
|
||
"\n",
|
||
" // how off from center the current view is\n",
|
||
" var xoff = tx0 - (bounds.x0 * (1 - scale0) + (width * (1 - scale0)) / 2),\n",
|
||
" yoff = ty0 - (bounds.y0 * (1 - scale0) + (height * (1 - scale0)) / 2);\n",
|
||
"\n",
|
||
" // rescale offsets\n",
|
||
" xoff = xoff * scale / scale0;\n",
|
||
" yoff = yoff * scale / scale0;\n",
|
||
"\n",
|
||
" // adjust for the panel position being scaled\n",
|
||
" var x_edge_adjust = bounds.x0 * (1 - scale),\n",
|
||
" y_edge_adjust = bounds.y0 * (1 - scale);\n",
|
||
"\n",
|
||
" return {\n",
|
||
" x: xoff + x_edge_adjust + (width - width * scale) / 2,\n",
|
||
" y: yoff + y_edge_adjust + (height - height * scale) / 2\n",
|
||
" };\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"// Initialize data for panning zooming if it isn't already.\n",
|
||
"var init_pan_zoom = function(root) {\n",
|
||
" if (root.data(\"zoompan-ready\")) {\n",
|
||
" return;\n",
|
||
" }\n",
|
||
"\n",
|
||
" // The non-scaling-stroke trick. Rather than try to correct for the\n",
|
||
" // stroke-width when zooming, we force it to a fixed value.\n",
|
||
" var px_per_mm = root.node.getCTM().a;\n",
|
||
"\n",
|
||
" // Drag events report deltas in pixels, which we'd like to convert to\n",
|
||
" // millimeters.\n",
|
||
" root.data(\"px_per_mm\", px_per_mm);\n",
|
||
"\n",
|
||
" root.selectAll(\"path\")\n",
|
||
" .forEach(function (element, i) {\n",
|
||
" sw = element.asPX(\"stroke-width\") * px_per_mm;\n",
|
||
" if (sw > 0) {\n",
|
||
" element.attribute(\"stroke-width\", sw);\n",
|
||
" element.attribute(\"vector-effect\", \"non-scaling-stroke\");\n",
|
||
" }\n",
|
||
" });\n",
|
||
"\n",
|
||
" // Store ticks labels original tranformation\n",
|
||
" root.selectAll(\".xlabels > text, .ylabels > text\")\n",
|
||
" .forEach(function (element, i) {\n",
|
||
" var lm = element.transform().localMatrix;\n",
|
||
" element.data(\"static_transform\",\n",
|
||
" new Snap.Matrix(lm.a, lm.b, lm.c, lm.d, lm.e, lm.f));\n",
|
||
" });\n",
|
||
"\n",
|
||
" var xgridlines = root.select(\".xgridlines\");\n",
|
||
" var ygridlines = root.select(\".ygridlines\");\n",
|
||
" var xlabels = root.select(\".xlabels\");\n",
|
||
" var ylabels = root.select(\".ylabels\");\n",
|
||
"\n",
|
||
" if (root.data(\"tx\") === undefined) root.data(\"tx\", 0);\n",
|
||
" if (root.data(\"ty\") === undefined) root.data(\"ty\", 0);\n",
|
||
" if (root.data(\"scale\") === undefined) root.data(\"scale\", 1.0);\n",
|
||
" if (root.data(\"xtickscales\") === undefined) {\n",
|
||
"\n",
|
||
" // index all the tick scales that are listed\n",
|
||
" var xtickscales = {};\n",
|
||
" var ytickscales = {};\n",
|
||
" var add_x_tick_scales = function (element, i) {\n",
|
||
" xtickscales[element.attribute(\"gadfly:scale\")] = true;\n",
|
||
" };\n",
|
||
" var add_y_tick_scales = function (element, i) {\n",
|
||
" ytickscales[element.attribute(\"gadfly:scale\")] = true;\n",
|
||
" };\n",
|
||
"\n",
|
||
" if (xgridlines) xgridlines.selectAll(\"path\").forEach(add_x_tick_scales);\n",
|
||
" if (ygridlines) ygridlines.selectAll(\"path\").forEach(add_y_tick_scales);\n",
|
||
" if (xlabels) xlabels.selectAll(\"text\").forEach(add_x_tick_scales);\n",
|
||
" if (ylabels) ylabels.selectAll(\"text\").forEach(add_y_tick_scales);\n",
|
||
"\n",
|
||
" root.data(\"xtickscales\", xtickscales);\n",
|
||
" root.data(\"ytickscales\", ytickscales);\n",
|
||
" root.data(\"xtickscale\", 1.0);\n",
|
||
" }\n",
|
||
"\n",
|
||
" var min_scale = 1.0, max_scale = 1.0;\n",
|
||
" for (scale in xtickscales) {\n",
|
||
" min_scale = Math.min(min_scale, scale);\n",
|
||
" max_scale = Math.max(max_scale, scale);\n",
|
||
" }\n",
|
||
" for (scale in ytickscales) {\n",
|
||
" min_scale = Math.min(min_scale, scale);\n",
|
||
" max_scale = Math.max(max_scale, scale);\n",
|
||
" }\n",
|
||
" root.data(\"min_scale\", min_scale);\n",
|
||
" root.data(\"max_scale\", max_scale);\n",
|
||
"\n",
|
||
" // store the original positions of labels\n",
|
||
" if (xlabels) {\n",
|
||
" xlabels.selectAll(\"text\")\n",
|
||
" .forEach(function (element, i) {\n",
|
||
" element.data(\"x\", element.asPX(\"x\"));\n",
|
||
" });\n",
|
||
" }\n",
|
||
"\n",
|
||
" if (ylabels) {\n",
|
||
" ylabels.selectAll(\"text\")\n",
|
||
" .forEach(function (element, i) {\n",
|
||
" element.data(\"y\", element.asPX(\"y\"));\n",
|
||
" });\n",
|
||
" }\n",
|
||
"\n",
|
||
" // mark grid lines and ticks as in or out of scale.\n",
|
||
" var mark_inscale = function (element, i) {\n",
|
||
" element.attribute(\"gadfly:inscale\", element.attribute(\"gadfly:scale\") == 1.0);\n",
|
||
" };\n",
|
||
"\n",
|
||
" if (xgridlines) xgridlines.selectAll(\"path\").forEach(mark_inscale);\n",
|
||
" if (ygridlines) ygridlines.selectAll(\"path\").forEach(mark_inscale);\n",
|
||
" if (xlabels) xlabels.selectAll(\"text\").forEach(mark_inscale);\n",
|
||
" if (ylabels) ylabels.selectAll(\"text\").forEach(mark_inscale);\n",
|
||
"\n",
|
||
" // figure out the upper ond lower bounds on panning using the maximum\n",
|
||
" // and minum grid lines\n",
|
||
" var bounds = root.plotbounds();\n",
|
||
" var pan_bounds = {\n",
|
||
" x0: 0.0,\n",
|
||
" y0: 0.0,\n",
|
||
" x1: 0.0,\n",
|
||
" y1: 0.0\n",
|
||
" };\n",
|
||
"\n",
|
||
" if (xgridlines) {\n",
|
||
" xgridlines\n",
|
||
" .selectAll(\"path\")\n",
|
||
" .forEach(function (element, i) {\n",
|
||
" if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
|
||
" var bbox = element.node.getBBox();\n",
|
||
" if (bounds.x1 - bbox.x < pan_bounds.x0) {\n",
|
||
" pan_bounds.x0 = bounds.x1 - bbox.x;\n",
|
||
" }\n",
|
||
" if (bounds.x0 - bbox.x > pan_bounds.x1) {\n",
|
||
" pan_bounds.x1 = bounds.x0 - bbox.x;\n",
|
||
" }\n",
|
||
" element.attr(\"visibility\", \"visible\");\n",
|
||
" }\n",
|
||
" });\n",
|
||
" }\n",
|
||
"\n",
|
||
" if (ygridlines) {\n",
|
||
" ygridlines\n",
|
||
" .selectAll(\"path\")\n",
|
||
" .forEach(function (element, i) {\n",
|
||
" if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
|
||
" var bbox = element.node.getBBox();\n",
|
||
" if (bounds.y1 - bbox.y < pan_bounds.y0) {\n",
|
||
" pan_bounds.y0 = bounds.y1 - bbox.y;\n",
|
||
" }\n",
|
||
" if (bounds.y0 - bbox.y > pan_bounds.y1) {\n",
|
||
" pan_bounds.y1 = bounds.y0 - bbox.y;\n",
|
||
" }\n",
|
||
" element.attr(\"visibility\", \"visible\");\n",
|
||
" }\n",
|
||
" });\n",
|
||
" }\n",
|
||
"\n",
|
||
" // nudge these values a little\n",
|
||
" pan_bounds.x0 -= 5;\n",
|
||
" pan_bounds.x1 += 5;\n",
|
||
" pan_bounds.y0 -= 5;\n",
|
||
" pan_bounds.y1 += 5;\n",
|
||
" root.data(\"pan_bounds\", pan_bounds);\n",
|
||
"\n",
|
||
" root.data(\"zoompan-ready\", true)\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"// drag actions, i.e. zooming and panning\n",
|
||
"var pan_action = {\n",
|
||
" start: function(root, x, y, event) {\n",
|
||
" root.data(\"dx\", 0);\n",
|
||
" root.data(\"dy\", 0);\n",
|
||
" root.data(\"tx0\", root.data(\"tx\"));\n",
|
||
" root.data(\"ty0\", root.data(\"ty\"));\n",
|
||
" },\n",
|
||
" update: function(root, dx, dy, x, y, event) {\n",
|
||
" var px_per_mm = root.data(\"px_per_mm\");\n",
|
||
" dx /= px_per_mm;\n",
|
||
" dy /= px_per_mm;\n",
|
||
"\n",
|
||
" var tx0 = root.data(\"tx\"),\n",
|
||
" ty0 = root.data(\"ty\");\n",
|
||
"\n",
|
||
" var dx0 = root.data(\"dx\"),\n",
|
||
" dy0 = root.data(\"dy\");\n",
|
||
"\n",
|
||
" root.data(\"dx\", dx);\n",
|
||
" root.data(\"dy\", dy);\n",
|
||
"\n",
|
||
" dx = dx - dx0;\n",
|
||
" dy = dy - dy0;\n",
|
||
"\n",
|
||
" var tx = tx0 + dx,\n",
|
||
" ty = ty0 + dy;\n",
|
||
"\n",
|
||
" set_plot_pan_zoom(root, tx, ty, root.data(\"scale\"));\n",
|
||
" },\n",
|
||
" end: function(root, event) {\n",
|
||
"\n",
|
||
" },\n",
|
||
" cancel: function(root) {\n",
|
||
" set_plot_pan_zoom(root, root.data(\"tx0\"), root.data(\"ty0\"), root.data(\"scale\"));\n",
|
||
" }\n",
|
||
"};\n",
|
||
"\n",
|
||
"var zoom_box;\n",
|
||
"var zoom_action = {\n",
|
||
" start: function(root, x, y, event) {\n",
|
||
" var bounds = root.plotbounds();\n",
|
||
" var width = bounds.x1 - bounds.x0,\n",
|
||
" height = bounds.y1 - bounds.y0;\n",
|
||
" var ratio = width / height;\n",
|
||
" var xscalable = root.hasClass(\"xscalable\"),\n",
|
||
" yscalable = root.hasClass(\"yscalable\");\n",
|
||
" var px_per_mm = root.data(\"px_per_mm\");\n",
|
||
" x = xscalable ? x / px_per_mm : bounds.x0;\n",
|
||
" y = yscalable ? y / px_per_mm : bounds.y0;\n",
|
||
" var w = xscalable ? 0 : width;\n",
|
||
" var h = yscalable ? 0 : height;\n",
|
||
" zoom_box = root.rect(x, y, w, h).attr({\n",
|
||
" \"fill\": \"#000\",\n",
|
||
" \"opacity\": 0.25\n",
|
||
" });\n",
|
||
" zoom_box.data(\"ratio\", ratio);\n",
|
||
" },\n",
|
||
" update: function(root, dx, dy, x, y, event) {\n",
|
||
" var xscalable = root.hasClass(\"xscalable\"),\n",
|
||
" yscalable = root.hasClass(\"yscalable\");\n",
|
||
" var px_per_mm = root.data(\"px_per_mm\");\n",
|
||
" var bounds = root.plotbounds();\n",
|
||
" if (yscalable) {\n",
|
||
" y /= px_per_mm;\n",
|
||
" y = Math.max(bounds.y0, y);\n",
|
||
" y = Math.min(bounds.y1, y);\n",
|
||
" } else {\n",
|
||
" y = bounds.y1;\n",
|
||
" }\n",
|
||
" if (xscalable) {\n",
|
||
" x /= px_per_mm;\n",
|
||
" x = Math.max(bounds.x0, x);\n",
|
||
" x = Math.min(bounds.x1, x);\n",
|
||
" } else {\n",
|
||
" x = bounds.x1;\n",
|
||
" }\n",
|
||
"\n",
|
||
" dx = x - zoom_box.attr(\"x\");\n",
|
||
" dy = y - zoom_box.attr(\"y\");\n",
|
||
" if (xscalable && yscalable) {\n",
|
||
" var ratio = zoom_box.data(\"ratio\");\n",
|
||
" var width = Math.min(Math.abs(dx), ratio * Math.abs(dy));\n",
|
||
" var height = Math.min(Math.abs(dy), Math.abs(dx) / ratio);\n",
|
||
" dx = width * dx / Math.abs(dx);\n",
|
||
" dy = height * dy / Math.abs(dy);\n",
|
||
" }\n",
|
||
" var xoffset = 0,\n",
|
||
" yoffset = 0;\n",
|
||
" if (dx < 0) {\n",
|
||
" xoffset = dx;\n",
|
||
" dx = -1 * dx;\n",
|
||
" }\n",
|
||
" if (dy < 0) {\n",
|
||
" yoffset = dy;\n",
|
||
" dy = -1 * dy;\n",
|
||
" }\n",
|
||
" if (isNaN(dy)) {\n",
|
||
" dy = 0.0;\n",
|
||
" }\n",
|
||
" if (isNaN(dx)) {\n",
|
||
" dx = 0.0;\n",
|
||
" }\n",
|
||
" zoom_box.transform(\"T\" + xoffset + \",\" + yoffset);\n",
|
||
" zoom_box.attr(\"width\", dx);\n",
|
||
" zoom_box.attr(\"height\", dy);\n",
|
||
" },\n",
|
||
" end: function(root, event) {\n",
|
||
" var xscalable = root.hasClass(\"xscalable\"),\n",
|
||
" yscalable = root.hasClass(\"yscalable\");\n",
|
||
" var zoom_bounds = zoom_box.getBBox();\n",
|
||
" if (zoom_bounds.width * zoom_bounds.height <= 0) {\n",
|
||
" return;\n",
|
||
" }\n",
|
||
" var plot_bounds = root.plotbounds();\n",
|
||
" var zoom_factor = 1.0;\n",
|
||
" if (yscalable) {\n",
|
||
" zoom_factor = (plot_bounds.y1 - plot_bounds.y0) / zoom_bounds.height;\n",
|
||
" } else {\n",
|
||
" zoom_factor = (plot_bounds.x1 - plot_bounds.x0) / zoom_bounds.width;\n",
|
||
" }\n",
|
||
" var tx = (root.data(\"tx\") - zoom_bounds.x) * zoom_factor + plot_bounds.x0,\n",
|
||
" ty = (root.data(\"ty\") - zoom_bounds.y) * zoom_factor + plot_bounds.y0;\n",
|
||
" set_plot_pan_zoom(root, tx, ty, root.data(\"scale\") * zoom_factor);\n",
|
||
" zoom_box.remove();\n",
|
||
" },\n",
|
||
" cancel: function(root) {\n",
|
||
" zoom_box.remove();\n",
|
||
" }\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"Gadfly.guide_background_drag_onstart = function(x, y, event) {\n",
|
||
" var root = this.plotroot();\n",
|
||
" var scalable = root.hasClass(\"xscalable\") || root.hasClass(\"yscalable\");\n",
|
||
" var zoomable = !event.altKey && !event.ctrlKey && event.shiftKey && scalable;\n",
|
||
" var panable = !event.altKey && !event.ctrlKey && !event.shiftKey && scalable;\n",
|
||
" var drag_action = zoomable ? zoom_action :\n",
|
||
" panable ? pan_action :\n",
|
||
" undefined;\n",
|
||
" root.data(\"drag_action\", drag_action);\n",
|
||
" if (drag_action) {\n",
|
||
" var cancel_drag_action = function(event) {\n",
|
||
" if (event.which == 27) { // esc key\n",
|
||
" drag_action.cancel(root);\n",
|
||
" root.data(\"drag_action\", undefined);\n",
|
||
" }\n",
|
||
" };\n",
|
||
" window.addEventListener(\"keyup\", cancel_drag_action);\n",
|
||
" root.data(\"cancel_drag_action\", cancel_drag_action);\n",
|
||
" drag_action.start(root, x, y, event);\n",
|
||
" }\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"Gadfly.guide_background_drag_onmove = function(dx, dy, x, y, event) {\n",
|
||
" var root = this.plotroot();\n",
|
||
" var drag_action = root.data(\"drag_action\");\n",
|
||
" if (drag_action) {\n",
|
||
" drag_action.update(root, dx, dy, x, y, event);\n",
|
||
" }\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"Gadfly.guide_background_drag_onend = function(event) {\n",
|
||
" var root = this.plotroot();\n",
|
||
" window.removeEventListener(\"keyup\", root.data(\"cancel_drag_action\"));\n",
|
||
" root.data(\"cancel_drag_action\", undefined);\n",
|
||
" var drag_action = root.data(\"drag_action\");\n",
|
||
" if (drag_action) {\n",
|
||
" drag_action.end(root, event);\n",
|
||
" }\n",
|
||
" root.data(\"drag_action\", undefined);\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"Gadfly.guide_background_scroll = function(event) {\n",
|
||
" if (event.shiftKey) {\n",
|
||
" increase_zoom_by_position(this.plotroot(), 0.001 * event.wheelDelta);\n",
|
||
" event.preventDefault();\n",
|
||
" }\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"Gadfly.zoomslider_button_mouseover = function(event) {\n",
|
||
" this.select(\".button_logo\")\n",
|
||
" .animate({fill: this.data(\"mouseover_color\")}, 100);\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"Gadfly.zoomslider_button_mouseout = function(event) {\n",
|
||
" this.select(\".button_logo\")\n",
|
||
" .animate({fill: this.data(\"mouseout_color\")}, 100);\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"Gadfly.zoomslider_zoomout_click = function(event) {\n",
|
||
" increase_zoom_by_position(this.plotroot(), -0.1, true);\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"Gadfly.zoomslider_zoomin_click = function(event) {\n",
|
||
" increase_zoom_by_position(this.plotroot(), 0.1, true);\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"Gadfly.zoomslider_track_click = function(event) {\n",
|
||
" // TODO\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"// Map slider position x to scale y using the function y = a*exp(b*x)+c.\n",
|
||
"// The constants a, b, and c are solved using the constraint that the function\n",
|
||
"// should go through the points (0; min_scale), (0.5; 1), and (1; max_scale).\n",
|
||
"var scale_from_slider_position = function(position, min_scale, max_scale) {\n",
|
||
" var a = (1 - 2 * min_scale + min_scale * min_scale) / (min_scale + max_scale - 2),\n",
|
||
" b = 2 * Math.log((max_scale - 1) / (1 - min_scale)),\n",
|
||
" c = (min_scale * max_scale - 1) / (min_scale + max_scale - 2);\n",
|
||
" return a * Math.exp(b * position) + c;\n",
|
||
"}\n",
|
||
"\n",
|
||
"// inverse of scale_from_slider_position\n",
|
||
"var slider_position_from_scale = function(scale, min_scale, max_scale) {\n",
|
||
" var a = (1 - 2 * min_scale + min_scale * min_scale) / (min_scale + max_scale - 2),\n",
|
||
" b = 2 * Math.log((max_scale - 1) / (1 - min_scale)),\n",
|
||
" c = (min_scale * max_scale - 1) / (min_scale + max_scale - 2);\n",
|
||
" return 1 / b * Math.log((scale - c) / a);\n",
|
||
"}\n",
|
||
"\n",
|
||
"var increase_zoom_by_position = function(root, delta_position, animate) {\n",
|
||
" var scale = root.data(\"scale\"),\n",
|
||
" min_scale = root.data(\"min_scale\"),\n",
|
||
" max_scale = root.data(\"max_scale\");\n",
|
||
" var position = slider_position_from_scale(scale, min_scale, max_scale);\n",
|
||
" position += delta_position;\n",
|
||
" scale = scale_from_slider_position(position, min_scale, max_scale);\n",
|
||
" set_zoom(root, scale, animate);\n",
|
||
"}\n",
|
||
"\n",
|
||
"var set_zoom = function(root, scale, animate) {\n",
|
||
" var min_scale = root.data(\"min_scale\"),\n",
|
||
" max_scale = root.data(\"max_scale\"),\n",
|
||
" old_scale = root.data(\"scale\");\n",
|
||
" var new_scale = Math.max(min_scale, Math.min(scale, max_scale));\n",
|
||
" if (animate) {\n",
|
||
" Snap.animate(\n",
|
||
" old_scale,\n",
|
||
" new_scale,\n",
|
||
" function (new_scale) {\n",
|
||
" update_plot_scale(root, new_scale);\n",
|
||
" },\n",
|
||
" 200);\n",
|
||
" } else {\n",
|
||
" update_plot_scale(root, new_scale);\n",
|
||
" }\n",
|
||
"}\n",
|
||
"\n",
|
||
"\n",
|
||
"var update_plot_scale = function(root, new_scale) {\n",
|
||
" var trans = scale_centered_translation(root, new_scale);\n",
|
||
" set_plot_pan_zoom(root, trans.x, trans.y, new_scale);\n",
|
||
"\n",
|
||
" root.selectAll(\".zoomslider_thumb\")\n",
|
||
" .forEach(function (element, i) {\n",
|
||
" var min_pos = element.data(\"min_pos\"),\n",
|
||
" max_pos = element.data(\"max_pos\"),\n",
|
||
" min_scale = root.data(\"min_scale\"),\n",
|
||
" max_scale = root.data(\"max_scale\");\n",
|
||
" var xmid = (min_pos + max_pos) / 2;\n",
|
||
" var xpos = slider_position_from_scale(new_scale, min_scale, max_scale);\n",
|
||
" element.transform(new Snap.Matrix().translate(\n",
|
||
" Math.max(min_pos, Math.min(\n",
|
||
" max_pos, min_pos + (max_pos - min_pos) * xpos)) - xmid, 0));\n",
|
||
" });\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"Gadfly.zoomslider_thumb_dragmove = function(dx, dy, x, y, event) {\n",
|
||
" var root = this.plotroot();\n",
|
||
" var min_pos = this.data(\"min_pos\"),\n",
|
||
" max_pos = this.data(\"max_pos\"),\n",
|
||
" min_scale = root.data(\"min_scale\"),\n",
|
||
" max_scale = root.data(\"max_scale\"),\n",
|
||
" old_scale = root.data(\"old_scale\");\n",
|
||
"\n",
|
||
" var px_per_mm = root.data(\"px_per_mm\");\n",
|
||
" dx /= px_per_mm;\n",
|
||
" dy /= px_per_mm;\n",
|
||
"\n",
|
||
" var xmid = (min_pos + max_pos) / 2;\n",
|
||
" var xpos = slider_position_from_scale(old_scale, min_scale, max_scale) +\n",
|
||
" dx / (max_pos - min_pos);\n",
|
||
"\n",
|
||
" // compute the new scale\n",
|
||
" var new_scale = scale_from_slider_position(xpos, min_scale, max_scale);\n",
|
||
" new_scale = Math.min(max_scale, Math.max(min_scale, new_scale));\n",
|
||
"\n",
|
||
" update_plot_scale(root, new_scale);\n",
|
||
" event.stopPropagation();\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"Gadfly.zoomslider_thumb_dragstart = function(x, y, event) {\n",
|
||
" this.animate({fill: this.data(\"mouseover_color\")}, 100);\n",
|
||
" var root = this.plotroot();\n",
|
||
"\n",
|
||
" // keep track of what the scale was when we started dragging\n",
|
||
" root.data(\"old_scale\", root.data(\"scale\"));\n",
|
||
" event.stopPropagation();\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"Gadfly.zoomslider_thumb_dragend = function(event) {\n",
|
||
" this.animate({fill: this.data(\"mouseout_color\")}, 100);\n",
|
||
" event.stopPropagation();\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"var toggle_color_class = function(root, color_class, ison) {\n",
|
||
" var guides = root.selectAll(\".guide.\" + color_class + \",.guide .\" + color_class);\n",
|
||
" var geoms = root.selectAll(\".geometry.\" + color_class + \",.geometry .\" + color_class);\n",
|
||
" if (ison) {\n",
|
||
" guides.animate({opacity: 0.5}, 250);\n",
|
||
" geoms.animate({opacity: 0.0}, 250);\n",
|
||
" } else {\n",
|
||
" guides.animate({opacity: 1.0}, 250);\n",
|
||
" geoms.animate({opacity: 1.0}, 250);\n",
|
||
" }\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"Gadfly.colorkey_swatch_click = function(event) {\n",
|
||
" var root = this.plotroot();\n",
|
||
" var color_class = this.data(\"color_class\");\n",
|
||
"\n",
|
||
" if (event.shiftKey) {\n",
|
||
" root.selectAll(\".colorkey text\")\n",
|
||
" .forEach(function (element) {\n",
|
||
" var other_color_class = element.data(\"color_class\");\n",
|
||
" if (other_color_class != color_class) {\n",
|
||
" toggle_color_class(root, other_color_class,\n",
|
||
" element.attr(\"opacity\") == 1.0);\n",
|
||
" }\n",
|
||
" });\n",
|
||
" } else {\n",
|
||
" toggle_color_class(root, color_class, this.attr(\"opacity\") == 1.0);\n",
|
||
" }\n",
|
||
"};\n",
|
||
"\n",
|
||
"\n",
|
||
"return Gadfly;\n",
|
||
"\n",
|
||
"}));\n",
|
||
"\n",
|
||
"\n",
|
||
"//@ sourceURL=gadfly.js\n",
|
||
"\n",
|
||
"(function (glob, factory) {\n",
|
||
" // AMD support\n",
|
||
" if (typeof require === \"function\" && typeof define === \"function\" && define.amd) {\n",
|
||
" require([\"Snap.svg\", \"Gadfly\"], function (Snap, Gadfly) {\n",
|
||
" factory(Snap, Gadfly);\n",
|
||
" });\n",
|
||
" } else {\n",
|
||
" factory(glob.Snap, glob.Gadfly);\n",
|
||
" }\n",
|
||
"})(window, function (Snap, Gadfly) {\n",
|
||
" var fig = Snap(\"#fig-0378e04b897742b597befd2e8e1c169e\");\n",
|
||
"fig.select(\"#fig-0378e04b897742b597befd2e8e1c169e-element-8\")\n",
|
||
" .init_gadfly();\n",
|
||
"fig.select(\"#fig-0378e04b897742b597befd2e8e1c169e-element-11\")\n",
|
||
" .plotroot().data(\"unfocused_ygrid_color\", \"#D0D0E0\")\n",
|
||
";\n",
|
||
"fig.select(\"#fig-0378e04b897742b597befd2e8e1c169e-element-11\")\n",
|
||
" .plotroot().data(\"focused_ygrid_color\", \"#A0A0A0\")\n",
|
||
";\n",
|
||
"fig.select(\"#fig-0378e04b897742b597befd2e8e1c169e-element-12\")\n",
|
||
" .plotroot().data(\"unfocused_xgrid_color\", \"#D0D0E0\")\n",
|
||
";\n",
|
||
"fig.select(\"#fig-0378e04b897742b597befd2e8e1c169e-element-12\")\n",
|
||
" .plotroot().data(\"focused_xgrid_color\", \"#A0A0A0\")\n",
|
||
";\n",
|
||
"fig.select(\"#fig-0378e04b897742b597befd2e8e1c169e-element-16\")\n",
|
||
" .data(\"mouseover_color\", \"#CD5C5C\")\n",
|
||
";\n",
|
||
"fig.select(\"#fig-0378e04b897742b597befd2e8e1c169e-element-16\")\n",
|
||
" .data(\"mouseout_color\", \"#6A6A6A\")\n",
|
||
";\n",
|
||
"fig.select(\"#fig-0378e04b897742b597befd2e8e1c169e-element-16\")\n",
|
||
" .click(Gadfly.zoomslider_zoomin_click)\n",
|
||
".mouseenter(Gadfly.zoomslider_button_mouseover)\n",
|
||
".mouseleave(Gadfly.zoomslider_button_mouseout)\n",
|
||
";\n",
|
||
"fig.select(\"#fig-0378e04b897742b597befd2e8e1c169e-element-18\")\n",
|
||
" .data(\"max_pos\", 111.58)\n",
|
||
";\n",
|
||
"fig.select(\"#fig-0378e04b897742b597befd2e8e1c169e-element-18\")\n",
|
||
" .data(\"min_pos\", 94.58)\n",
|
||
";\n",
|
||
"fig.select(\"#fig-0378e04b897742b597befd2e8e1c169e-element-18\")\n",
|
||
" .click(Gadfly.zoomslider_track_click);\n",
|
||
"fig.select(\"#fig-0378e04b897742b597befd2e8e1c169e-element-19\")\n",
|
||
" .data(\"max_pos\", 111.58)\n",
|
||
";\n",
|
||
"fig.select(\"#fig-0378e04b897742b597befd2e8e1c169e-element-19\")\n",
|
||
" .data(\"min_pos\", 94.58)\n",
|
||
";\n",
|
||
"fig.select(\"#fig-0378e04b897742b597befd2e8e1c169e-element-19\")\n",
|
||
" .data(\"mouseover_color\", \"#CD5C5C\")\n",
|
||
";\n",
|
||
"fig.select(\"#fig-0378e04b897742b597befd2e8e1c169e-element-19\")\n",
|
||
" .data(\"mouseout_color\", \"#6A6A6A\")\n",
|
||
";\n",
|
||
"fig.select(\"#fig-0378e04b897742b597befd2e8e1c169e-element-19\")\n",
|
||
" .drag(Gadfly.zoomslider_thumb_dragmove,\n",
|
||
" Gadfly.zoomslider_thumb_dragstart,\n",
|
||
" Gadfly.zoomslider_thumb_dragend)\n",
|
||
";\n",
|
||
"fig.select(\"#fig-0378e04b897742b597befd2e8e1c169e-element-20\")\n",
|
||
" .data(\"mouseover_color\", \"#CD5C5C\")\n",
|
||
";\n",
|
||
"fig.select(\"#fig-0378e04b897742b597befd2e8e1c169e-element-20\")\n",
|
||
" .data(\"mouseout_color\", \"#6A6A6A\")\n",
|
||
";\n",
|
||
"fig.select(\"#fig-0378e04b897742b597befd2e8e1c169e-element-20\")\n",
|
||
" .click(Gadfly.zoomslider_zoomout_click)\n",
|
||
".mouseenter(Gadfly.zoomslider_button_mouseover)\n",
|
||
".mouseleave(Gadfly.zoomslider_button_mouseout)\n",
|
||
";\n",
|
||
" });\n",
|
||
"]]> </script>\n",
|
||
"</svg>\n"
|
||
],
|
||
"text/plain": [
|
||
"Plot(...)"
|
||
]
|
||
},
|
||
"execution_count": 7,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"full_motion = ones(5) * S0\n",
|
||
"full_term = vcat(term[1], forward_yield)\n",
|
||
"for i=1:T\n",
|
||
" μ = (full_term[i] - 1 - q)\n",
|
||
" year_motion = simulate_gbm(full_motion[:,end], μ, σ, 1, n)\n",
|
||
" full_motion = hcat(full_motion, year_motion)\n",
|
||
"end\n",
|
||
"\n",
|
||
"display_motion(full_motion, T)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"### Final simulation\n",
|
||
"\n",
|
||
"We're now going to actually build out the full motion that we'll use for computing the pricing of our autocallable products. It will be largely the same, but we will use far more sample paths for the simulation."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 8,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Time to run simulation: 5.34s"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"full_simulation = function(S0, T, n, m, term)\n",
|
||
" forward = vcat(term[1], forward_term(term))\n",
|
||
"\n",
|
||
" # And an S0 to kick things off.\n",
|
||
" final_motion = ones(m) * S0\n",
|
||
" for i=1:T\n",
|
||
" μ = (forward[i] - 1 - q)\n",
|
||
" year_motion = simulate_gbm(final_motion[:,end], μ, σ, 1, n)\n",
|
||
" final_motion = hcat(final_motion, year_motion)\n",
|
||
" end\n",
|
||
" return final_motion\n",
|
||
"end\n",
|
||
"\n",
|
||
"tic()\n",
|
||
"full_simulation(S0, T, n, m, term)\n",
|
||
"time = toq()\n",
|
||
"@printf(\"Time to run simulation: %.2fs\", time)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Athena Simulation\n",
|
||
"\n",
|
||
"Now that we've defined our underlying simulation, let's actually try and price an Athena note. Athena has the following characteristics:\n",
|
||
"\n",
|
||
"- Automatically called if the underlying is above the **call barrier** at observation\n",
|
||
"- Accelerated coupon paid if the underlying is above the **call barrier** at observation\n",
|
||
" - The coupon paid is $c \\cdot i$ with $i$ as the current year, and $c$ the coupon rate\n",
|
||
"- Principle protection up until a **protection barrier** at observation; All principle at risk if this barrier not met\n",
|
||
"- Observed yearly"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 9,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Mean of simulation 1: $103.2805; Simulation time: 5.59s\n",
|
||
"Mean of simulation 2: $103.3796; Simulation time: 5.05s\n",
|
||
"Mean of simulation 3: $103.4752; Simulation time: 5.18s\n",
|
||
"Mean of simulation 4: $103.4099; Simulation time: 5.37s\n",
|
||
"Mean of simulation 5: $103.3260; Simulation time: 5.32s\n",
|
||
"Mean over 5 simulations: 103.37421610015554\n",
|
||
"Present value of Athena note: $95.00, notional: $100.00"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"call_barrier = S0\n",
|
||
"strike = S0\n",
|
||
"protection_barrier = S0 * .6\n",
|
||
"coupon = nominal * .07\n",
|
||
"\n",
|
||
"price_athena = function(initial_price, year_prices, call_barrier,\n",
|
||
" protection_barrier, coupon, forward_structure)\n",
|
||
"\n",
|
||
" total_coupons = 0\n",
|
||
" \n",
|
||
" t = length(year_prices)\n",
|
||
"\n",
|
||
" for i=1:t\n",
|
||
" price = year_prices[i]\n",
|
||
" if price ≥ call_barrier\n",
|
||
" return (nominal + coupon*i) * exp((prod(forward_structure[i:end])-1)*(t-i))\n",
|
||
" end\n",
|
||
" end\n",
|
||
"\n",
|
||
" # We've reached maturity, time to check capital protection\n",
|
||
" if year_prices[end] > protection_barrier\n",
|
||
" return nominal\n",
|
||
" else\n",
|
||
" put = (strike - year_prices[end]) / strike\n",
|
||
" return nominal*(1-put)\n",
|
||
" end\n",
|
||
"end\n",
|
||
"\n",
|
||
"forward_structure = forward_term(term)\n",
|
||
"price_function = (year_prices) -> price_athena(S0, year_prices,\n",
|
||
" call_barrier, protection_barrier, coupon, forward_structure)\n",
|
||
"\n",
|
||
"athena = function()\n",
|
||
" year_indexes = [n*i for i=1:T]\n",
|
||
" motion = full_simulation(S0, T, n, m, term)\n",
|
||
" payoffs = [price_function(motion[i, year_indexes]) for i=1:m]\n",
|
||
" return mean(payoffs)\n",
|
||
"end\n",
|
||
"\n",
|
||
"mean_payoffs = zeros(num_simulations)\n",
|
||
"for i=1:num_simulations\n",
|
||
" tic()\n",
|
||
" mean_payoffs[i] = athena()\n",
|
||
" time = toq()\n",
|
||
" @printf(\"Mean of simulation %i: \\$%.4f; Simulation time: %.2fs\\n\", i, mean_payoffs[i], time)\n",
|
||
"end\n",
|
||
"\n",
|
||
"final_mean = mean(mean_payoffs)\n",
|
||
"println(\"Mean over $num_simulations simulations: $(mean(mean_payoffs))\")\n",
|
||
"pv = final_mean * (exp(-(prod(forward_structure)-1)*T))\n",
|
||
"@printf(\"Present value of Athena note: \\$%.2f, notional: \\$%.2f\", pv, nominal)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Phoenix without Memory Simulation\n",
|
||
"\n",
|
||
"Let's move into pricing a Phoenix without memory. It's very similar to the Athena production, with the exception that we introduce a coupon barrier so coupons are paid even when the underlying is below the initial price.\n",
|
||
"\n",
|
||
"The Phoenix product has the following characteristics (example [here](https://www.rbccm.com/usstructurednotes/file-780079.pdf)):\n",
|
||
"\n",
|
||
"- Automatically called if the underlying is above the **call barrier** at observation\n",
|
||
"- Coupon paid if the underlying is above a **coupon barrier** at observation\n",
|
||
"- Principle protection up until a **protection barrier** at observation; All principle at risk if this barrier not met\n",
|
||
"- Observed yearly\n",
|
||
"\n",
|
||
"Some example paths (all assume that a call barrier of the current price, and coupon barrier some level below that):\n",
|
||
"\n",
|
||
"- At the end of year 1, the stock is above the call barrier; the note is called and you receive the value of the stock plus the coupon being paid.\n",
|
||
"- At the end of year 1, the stock is above the coupon barrier, but not the call barrier; you receive the coupon. At the end of year 2, the stock is below the coupon barrier; you receive nothing. At the end of year 3, the stock is above the call barrier; the note is called and you receive the value of the stock plus a coupon for year 3.\n",
|
||
"\n",
|
||
"We're going to re-use the same simulation, with the following parameters:\n",
|
||
"\n",
|
||
"- Call barrier: 100%\n",
|
||
"- Coupon barrier: 70%\n",
|
||
"- Coupon: 6%\n",
|
||
"- Capital protection until 70% (at maturity)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 10,
|
||
"metadata": {
|
||
"collapsed": false,
|
||
"scrolled": true
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Mean of simulation 1: $106.0562; Simulation time: 5.72s\n",
|
||
"Mean of simulation 2: $106.0071; Simulation time: 5.85s\n",
|
||
"Mean of simulation 3: $105.9959; Simulation time: 5.87s\n",
|
||
"Mean of simulation 4: $106.0665; Simulation time: 5.93s\n",
|
||
"Mean of simulation 5: $106.0168; Simulation time: 5.81s\n",
|
||
"Mean over 5 simulations: 106.02850857209883\n",
|
||
"Present value of Phoenix without memory note: $97.44"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"call_barrier = S0\n",
|
||
"coupon_barrier = S0 * .8\n",
|
||
"protection_barrier = S0 * .6\n",
|
||
"coupon = nominal * .06\n",
|
||
"\n",
|
||
"price_phoenix_no_memory = function(initial_price, year_prices, call_barrier, coupon_barrier,\n",
|
||
" protection_barrier, coupon, forward_structure)\n",
|
||
"\n",
|
||
" total_coupons = 0\n",
|
||
" t = length(year_prices)\n",
|
||
"\n",
|
||
" for i=1:t\n",
|
||
" price = year_prices[i]\n",
|
||
" if price ≥ call_barrier\n",
|
||
" return (nominal + coupon + total_coupons)*exp((prod(forward_structure[i:end])-1)*(t-i))\n",
|
||
" elseif price ≥ coupon_barrier\n",
|
||
" total_coupons = total_coupons * exp(forward_structure[i]-1) + coupon\n",
|
||
" else\n",
|
||
" total_coupons *= exp(forward_structure[i]-1)\n",
|
||
" end\n",
|
||
" end\n",
|
||
"\n",
|
||
" # We've reached maturity, time to check capital protection\n",
|
||
" if year_prices[end] > protection_barrier\n",
|
||
" return nominal + total_coupons\n",
|
||
" else\n",
|
||
" put = (strike - year_prices[end]) / strike\n",
|
||
" return nominal*(1-put)\n",
|
||
" end\n",
|
||
"end\n",
|
||
"\n",
|
||
"forward_structure = forward_term(term)\n",
|
||
"price_function = (year_prices) -> price_phoenix_no_memory(S0, year_prices,\n",
|
||
" call_barrier, coupon_barrier, protection_barrier, coupon, forward_structure)\n",
|
||
"\n",
|
||
"phoenix_no_memory = function()\n",
|
||
" year_indexes = [n*i for i=1:T]\n",
|
||
" motion = full_simulation(S0, T, n, m, term)\n",
|
||
" payoffs = [price_function(motion[i, year_indexes]) for i=1:m]\n",
|
||
" return mean(payoffs)\n",
|
||
"end\n",
|
||
"\n",
|
||
"mean_payoffs = zeros(num_simulations)\n",
|
||
"for i=1:num_simulations\n",
|
||
" tic()\n",
|
||
" mean_payoffs[i] = phoenix_no_memory()\n",
|
||
" time = toq()\n",
|
||
" @printf(\"Mean of simulation %i: \\$%.4f; Simulation time: %.2fs\\n\", i, mean_payoffs[i], time)\n",
|
||
"end\n",
|
||
"\n",
|
||
"final_mean = mean(mean_payoffs)\n",
|
||
"println(\"Mean over $num_simulations simulations: $(mean(mean_payoffs))\")\n",
|
||
"pv = final_mean * exp(-(prod(forward_structure)-1)*(T))\n",
|
||
"@printf(\"Present value of Phoenix without memory note: \\$%.2f\", pv)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Phoenix with Memory Simulation\n",
|
||
"\n",
|
||
"The Phoenix with Memory structure is very similar to the Phoenix, but as the name implies, has a special \"memory\" property: **It remembers any coupons that haven't been paid at prior observation times, and pays them all if the underlying crosses the coupon barrier**. For example:\n",
|
||
"- Note issued with 100% call barrier, 70% coupon barrier. At year 1, the underlying is at 50%, so no coupons are paid. At year 2, the underlying is at 80%, so coupons for both year 1 and 2 are paid, resulting in a double coupon.\n",
|
||
"\n",
|
||
"You can also find an example [here](https://www.rbccm.com/usstructurednotes/file-781232.pdf).\n",
|
||
"\n",
|
||
"Let's go ahead and set up the simulation! The parameters will be the same, but we can expect that the value will go up because of the memory attribute"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 11,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Mean of simulation 1: $108.8612; Simulation time: 5.89s\n",
|
||
"Mean of simulation 2: $109.0226; Simulation time: 5.90s\n",
|
||
"Mean of simulation 3: $108.9175; Simulation time: 5.92s\n",
|
||
"Mean of simulation 4: $108.9426; Simulation time: 5.94s\n",
|
||
"Mean of simulation 5: $108.8087; Simulation time: 6.06s\n",
|
||
"Mean over 5 simulations: 108.91052564051816\n",
|
||
"Present value of Phoenix with memory note: $100.09"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"call_barrier = S0\n",
|
||
"coupon_barrier = S0 * .8\n",
|
||
"protection_barrier = S0 * .6\n",
|
||
"coupon = nominal * .07\n",
|
||
"\n",
|
||
"price_phoenix_with_memory = function(initial_price, year_prices, call_barrier,\n",
|
||
" coupon_barrier, protection_barrier, coupon, forward_structure)\n",
|
||
"\n",
|
||
" last_coupon = 0\n",
|
||
" total_coupons = 0\n",
|
||
" \n",
|
||
" t = length(year_prices)\n",
|
||
"\n",
|
||
" for i=1:t\n",
|
||
" price = year_prices[i]\n",
|
||
" if price > call_barrier\n",
|
||
" return (nominal + coupon + total_coupons)*exp((prod(forward_structure[i:end])-1)*(t-i))\n",
|
||
" elseif price > coupon_barrier\n",
|
||
" ####################################################################\n",
|
||
" # The only difference between with/without memory is the below lines\n",
|
||
" memory_coupons = (i - last_coupon) * coupon\n",
|
||
" last_coupon = i\n",
|
||
" total_coupons = total_coupons * exp(forward_structure[i]-1) + memory_coupons\n",
|
||
" ####################################################################\n",
|
||
" else\n",
|
||
" total_coupons *= exp(forward_structure[i]-1)\n",
|
||
" end\n",
|
||
" end\n",
|
||
"\n",
|
||
" # We've reached maturity, time to check capital protection\n",
|
||
" if year_prices[end] > protection_barrier\n",
|
||
" return nominal + total_coupons\n",
|
||
" else\n",
|
||
" put = (strike - year_prices[end]) / strike\n",
|
||
" return nominal*(1-put)\n",
|
||
" end\n",
|
||
"end\n",
|
||
"\n",
|
||
"forward_structure = forward_term(term)\n",
|
||
"price_function = (year_prices) -> price_phoenix_with_memory(S0, year_prices,\n",
|
||
" call_barrier, coupon_barrier, protection_barrier, coupon, forward_structure)\n",
|
||
"\n",
|
||
"phoenix_with_memory = function()\n",
|
||
" year_indexes = [n*i for i=1:T]\n",
|
||
" motion = full_simulation(S0, T, n, m, term)\n",
|
||
" payoffs = [price_function(motion[i, year_indexes]) for i=1:m]\n",
|
||
" return mean(payoffs)\n",
|
||
"end\n",
|
||
"\n",
|
||
"mean_payoffs = zeros(num_simulations)\n",
|
||
"for i=1:num_simulations\n",
|
||
" tic()\n",
|
||
" mean_payoffs[i] = phoenix_with_memory()\n",
|
||
" time = toq()\n",
|
||
" @printf(\"Mean of simulation %i: \\$%.4f; Simulation time: %.2fs\\n\",\n",
|
||
" i, mean_payoffs[i], time)\n",
|
||
"end\n",
|
||
"\n",
|
||
"final_mean = mean(mean_payoffs)\n",
|
||
"println(\"Mean over $num_simulations simulations: $(mean(mean_payoffs))\")\n",
|
||
"pv = final_mean * exp(-(prod(forward_structure)-1)*(T))\n",
|
||
"@printf(\"Present value of Phoenix with memory note: \\$%.2f\", pv)"
|
||
]
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "Julia 0.4.0",
|
||
"language": "julia",
|
||
"name": "julia-0.4"
|
||
},
|
||
"language_info": {
|
||
"file_extension": ".jl",
|
||
"mimetype": "application/julia",
|
||
"name": "julia",
|
||
"version": "0.4.1"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 0
|
||
}
|