From 24abd4a7d7c5f4714627caf442d8c175dc4a6aea Mon Sep 17 00:00:00 2001
From: Stephan Kleinboelting <skleinbo@thp.uni-koeln.de>
Date: Sat, 25 Aug 2018 13:09:46 +0200
Subject: [PATCH 1/3] Split routines from notebooks. Split visualization into
 separate notebook. Automatic setup. README

:000000 100644 0000000 d45ab6d A	.gitignore
:000000 100644 0000000 6560e1c A	MCMC_Ising.ipynb
:100755 000000 c70d5ac 0000000 D	Metropolis_Ising.ipynb
:100644 100644 821e55c 7cb2cb8 M	README.md
:000000 100644 0000000 de2896b A	Visualization.ipynb
:000000 100644 0000000 423171d A	img/slider.png
:000000 100644 0000000 7b9734b A	src/build.jl
:000000 100644 0000000 fab2f89 A	src/mcmc.jl
:000000 100644 0000000 9424e53 A	src/visualization.jl
---
 .gitignore             |    2 +
 MCMC_Ising.ipynb       | 3049 ++++++++++++++++++++++++++++++++++++++++
 Metropolis_Ising.ipynb | 1434 -------------------
 README.md              |   59 +-
 Visualization.ipynb    |  137 ++
 img/slider.png         |  Bin 0 -> 45399 bytes
 src/build.jl           |    9 +
 src/mcmc.jl            |  282 ++++
 src/visualization.jl   |   44 +
 9 files changed, 3581 insertions(+), 1435 deletions(-)
 create mode 100644 .gitignore
 create mode 100644 MCMC_Ising.ipynb
 delete mode 100755 Metropolis_Ising.ipynb
 create mode 100644 Visualization.ipynb
 create mode 100644 img/slider.png
 create mode 100644 src/build.jl
 create mode 100644 src/mcmc.jl
 create mode 100644 src/visualization.jl

diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..d45ab6d
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,2 @@
+.ipynb_checkpoints/
+example_data/
diff --git a/MCMC_Ising.ipynb b/MCMC_Ising.ipynb
new file mode 100644
index 0000000..6560e1c
--- /dev/null
+++ b/MCMC_Ising.ipynb
@@ -0,0 +1,3049 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "__Load packages for plotting and data handling__"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Plots.GRBackend()"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "using Plots,LaTeXStrings, StatPlots\n",
+    "using DataFrames\n",
+    "using DataFramesMeta\n",
+    "using Interact\n",
+    "using GLM\n",
+    "using Distributions\n",
+    "using CSV\n",
+    "\n",
+    "gr(fmt=\"png\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "__Add worker processes for parallel computation__"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "addprocs(3)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "__Load simulation routines__"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "@everywhere include(\"src/mcmc.jl\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "__Onsager critical temperature__"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Tc = 2/log(1+sqrt(2));"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Autocorrelation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To get correct estimates for the observables of interest, one has to make sure the samples taken are statistically independent.\n",
+    "Therefore one cannot sample every timestep, but needs to wait for a certain amount of time until the correlations have subsided.\n",
+    "\n",
+    "As the system is brought closer to the critical point it becomes correlated on longer timescales. This phenomenon know as __critical slowing down__. It is a consequence of the growing correlation length as the critical point is approached."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " 63.371007 seconds (1.99 M allocations: 5.678 GiB, 1.00% gc time)\n"
+     ]
+    }
+   ],
+   "source": [
+    "@time ts = let Tmax=10000,L=100\n",
+    "mapreduce(vcat, [4.,2.5,2.26,2.1,2.2]) do T\n",
+    "    df = DataFrame()\n",
+    "    df[:t] = collect(1:Tmax-1)\n",
+    "    df[:L] = L\n",
+    "    df[:T] = T\n",
+    "\n",
+    "    ts = metropolis_timeseries(L,1/T,Tmax*L^2)\n",
+    "    ts -=  mean(ts)\n",
+    "\n",
+    "    df[:autocor] = map(1:Tmax-1) do t\n",
+    "        1.0/(Tmax-t+1)*sum(ts[1:Tmax-t+1].*ts[t:Tmax])\n",
+    "    end\n",
+    "    df\n",
+    "end\n",
+    "end;"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
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+       "  410.947,350.057 411.249,350.061 411.549,350.064 411.848,350.066 412.145,350.073 412.441,350.081 412.736,350.091 413.029,350.101 413.321,350.104 413.612,350.109 \n",
+       "  413.901,350.118 414.189,350.134 414.476,350.146 414.762,350.156 415.046,350.16 415.329,350.166 415.611,350.173 415.891,350.177 416.17,350.176 416.448,350.173 \n",
+       "  416.725,350.18 417.001,350.187 417.275,350.2 417.548,350.204 417.82,350.215 418.091,350.227 418.361,350.241 418.63,350.255 419.956,350.255 420.218,350.247 \n",
+       "  420.479,350.24 420.739,350.228 420.998,350.219 421.256,350.216 421.513,350.217 421.768,350.219 422.023,350.224 422.277,350.229 422.529,350.227 422.781,350.226 \n",
+       "  423.032,350.229 423.282,350.233 423.53,350.237 423.778,350.237 424.025,350.237 424.271,350.247 424.516,350.249 424.76,350.247 425.003,350.242 425.245,350.235 \n",
+       "  425.486,350.227 425.726,350.219 425.966,350.206 426.204,350.198 426.442,350.191 426.679,350.178 426.915,350.165 427.15,350.147 427.384,350.131 427.617,350.123 \n",
+       "  427.849,350.111 428.081,350.107 428.312,350.105 428.542,350.1 428.771,350.095 428.999,350.094 429.227,350.092 429.453,350.098 429.679,350.103 429.904,350.103 \n",
+       "  430.128,350.102 430.352,350.105 430.575,350.109 430.797,350.118 431.018,350.123 431.238,350.123 431.458,350.128 431.677,350.13 431.895,350.133 432.112,350.136 \n",
+       "  432.329,350.132 432.545,350.126 432.76,350.125 432.974,350.124 433.188,350.13 433.401,350.133 433.613,350.134 433.825,350.13 434.036,350.123 434.246,350.119 \n",
+       "  434.456,350.114 434.665,350.111 434.873,350.114 435.08,350.116 435.287,350.113 435.493,350.116 435.699,350.117 435.904,350.118 436.108,350.121 436.311,350.124 \n",
+       "  436.514,350.13 436.716,350.134 436.918,350.136 437.119,350.135 437.319,350.133 437.519,350.125 437.718,350.119 437.916,350.111 438.114,350.101 438.312,350.089 \n",
+       "  438.508,350.082 438.704,350.081 438.9,350.085 439.094,350.086 439.289,350.083 439.482,350.084 439.675,350.089 439.868,350.096 440.06,350.09 440.251,350.083 \n",
+       "  440.442,350.076 440.632,350.07 440.822,350.064 441.011,350.062 441.199,350.067 441.387,350.073 441.574,350.069 441.761,350.063 441.948,350.052 442.133,350.047 \n",
+       "  442.318,350.045 442.503,350.046 442.687,350.047 442.871,350.044 443.054,350.046 443.237,350.053 443.419,350.061 443.6,350.068 443.781,350.078 443.962,350.088 \n",
+       "  444.142,350.096 444.321,350.108 444.5,350.124 444.678,350.141 444.856,350.163 445.034,350.181 445.211,350.193 445.387,350.191 445.563,350.2 445.739,350.208 \n",
+       "  445.914,350.217 446.089,350.221 446.263,350.219 446.436,350.212 446.609,350.202 446.782,350.203 446.954,350.208 447.126,350.215 447.297,350.215 447.468,350.212 \n",
+       "  447.639,350.208 447.808,350.204 447.978,350.2 448.147,350.198 448.316,350.197 448.484,350.195 448.651,350.198 448.819,350.209 448.985,350.223 449.152,350.231 \n",
+       "  449.318,350.227 449.483,350.214 449.648,350.204 449.813,350.197 449.977,350.19 450.141,350.177 450.304,350.166 450.467,350.155 450.63,350.148 450.792,350.15 \n",
+       "  450.954,350.154 451.115,350.151 451.276,350.147 451.437,350.147 451.597,350.143 451.756,350.139 451.916,350.137 452.075,350.139 452.233,350.139 452.391,350.132 \n",
+       "  452.549,350.128 452.706,350.119 452.863,350.107 453.02,350.094 453.176,350.084 453.332,350.075 453.487,350.061 453.642,350.05 453.797,350.038 453.951,350.029 \n",
+       "  454.105,350.015 454.259,350.003 454.412,349.994 454.565,349.982 454.717,349.974 454.869,349.964 455.021,349.961 455.172,349.967 455.323,349.975 455.474,349.981 \n",
+       "  455.624,349.977 455.774,349.98 455.924,349.979 456.073,349.979 456.222,349.97 456.371,349.962 456.519,349.954 456.667,349.947 456.814,349.945 456.961,349.942 \n",
+       "  457.108,349.945 457.255,349.955 457.401,349.961 457.547,349.961 457.692,349.965 457.838,349.971 457.982,349.974 458.127,349.974 458.271,349.975 458.415,349.974 \n",
+       "  458.558,349.973 458.702,349.972 458.845,349.97 458.987,349.977 459.129,349.985 459.271,349.991 459.413,349.992 459.554,349.993 459.695,349.995 459.836,349.99 \n",
+       "  459.976,349.995 460.116,349.993 460.256,349.989 460.396,349.988 460.535,349.983 460.674,349.985 460.812,349.982 460.951,349.975 461.088,349.979 461.226,349.98 \n",
+       "  461.363,349.982 461.501,349.984 461.637,349.991 461.774,349.999 461.91,350.002 462.046,350.005 462.181,350.006 462.317,350.007 462.452,350.005 462.587,350.007 \n",
+       "  462.721,350.006 462.855,350.007 462.989,350.013 463.123,350.023 463.256,350.031 463.389,350.038 463.522,350.035 463.654,350.03 463.787,350.023 463.919,350.026 \n",
+       "  464.05,350.025 464.182,350.024 464.313,350.032 464.444,350.033 464.574,350.031 464.705,350.035 464.835,350.039 464.965,350.049 465.094,350.067 465.223,350.087 \n",
+       "  465.353,350.104 465.481,350.113 465.61,350.124 465.738,350.132 465.866,350.135 465.994,350.14 466.121,350.144 466.248,350.143 466.375,350.139 466.502,350.141 \n",
+       "  466.629,350.137 466.755,350.134 466.881,350.128 467.007,350.126 467.132,350.133 467.257,350.136 467.382,350.141 467.507,350.136 467.631,350.133 467.756,350.129 \n",
+       "  467.88,350.123 468.004,350.115 468.127,350.11 468.25,350.112 468.373,350.111 468.496,350.113 468.619,350.119 468.741,350.127 468.863,350.133 468.985,350.129 \n",
+       "  469.107,350.134 469.228,350.13 469.349,350.129 469.47,350.128 469.591,350.128 469.712,350.122 469.832,350.117 469.952,350.112 470.072,350.107 470.191,350.104 \n",
+       "  470.311,350.101 470.43,350.097 470.549,350.095 470.667,350.101 470.786,350.11 470.904,350.124 471.022,350.137 471.14,350.148 471.258,350.144 471.375,350.141 \n",
+       "  471.492,350.148 471.609,350.153 471.726,350.16 471.842,350.162 471.959,350.164 472.075,350.175 472.191,350.186 472.307,350.187 472.422,350.19 472.537,350.19 \n",
+       "  472.652,350.189 472.767,350.194 472.882,350.19 472.996,350.188 473.111,350.193 473.225,350.204 473.338,350.205 473.452,350.206 473.565,350.206 473.679,350.213 \n",
+       "  473.792,350.221 473.905,350.225 474.017,350.232 474.13,350.232 474.242,350.23 474.354,350.231 474.466,350.227 474.577,350.22 474.689,350.211 474.8,350.21 \n",
+       "  474.911,350.208 475.022,350.207 475.133,350.209 475.243,350.213 475.353,350.219 475.464,350.22 475.573,350.231 475.683,350.234 475.793,350.238 475.902,350.239 \n",
+       "  476.011,350.242 476.12,350.238 476.229,350.235 476.338,350.229 476.446,350.231 476.554,350.236 476.662,350.243 476.77,350.243 476.878,350.244 476.985,350.247 \n",
+       "  477.093,350.251 477.2,350.243 477.307,350.234 477.414,350.222 477.52,350.215 477.627,350.21 477.733,350.213 477.839,350.216 477.945,350.221 478.051,350.227 \n",
+       "  478.156,350.236 478.261,350.256 491.949,350.263 492.034,350.254 492.119,350.249 492.203,350.244 492.288,350.241 492.372,350.246 492.457,350.251 492.541,350.252 \n",
+       "  492.625,350.254 492.709,350.252 492.793,350.254 492.877,350.254 492.96,350.257 493.044,350.262 493.127,350.257 505.176,350.262 505.245,350.261 505.314,350.26 \n",
+       "  505.383,350.258 523.324,350.257 523.376,350.246 523.428,350.24 523.479,350.243 523.531,350.255 524.559,350.259 524.61,350.251 524.661,350.248 524.711,350.252 \n",
+       "  524.762,350.255 524.813,350.261 530.259,350.26 530.538,350.26 530.584,350.26 530.723,350.26 530.769,350.252 530.816,350.253 530.862,350.246 530.908,350.237 \n",
+       "  530.954,350.239 531,350.251 536.935,350.263 537.018,350.261 537.06,350.26 537.102,350.259 537.144,350.259 537.186,350.255 537.228,350.246 537.27,350.246 \n",
+       "  537.311,350.244 537.353,350.243 537.395,350.247 537.436,350.251 537.478,350.247 537.52,350.248 537.561,350.249 537.603,350.252 537.644,350.258 538.346,350.26 \n",
+       "  538.387,350.248 538.428,350.244 538.469,350.242 538.51,350.241 538.551,350.249 538.592,350.247 538.633,350.245 538.674,350.245 538.715,350.253 543.206,350.257 \n",
+       "  543.244,350.247 543.282,350.235 543.32,350.224 543.358,350.224 543.396,350.226 543.434,350.215 543.472,350.203 543.51,350.185 543.548,350.167 543.586,350.147 \n",
+       "  543.623,350.128 543.661,350.109 543.699,350.101 543.737,350.091 543.774,350.093 543.812,350.093 543.85,350.102 543.887,350.109 543.925,350.12 543.963,350.127 \n",
+       "  544,350.131 544.038,350.135 544.075,350.133 544.113,350.128 544.15,350.122 544.188,350.11 544.225,350.098 544.263,350.092 544.3,350.09 544.338,350.097 \n",
+       "  544.375,350.107 544.412,350.113 544.45,350.12 544.487,350.131 544.524,350.131 544.561,350.132 544.599,350.128 544.636,350.129 544.673,350.122 544.71,350.114 \n",
+       "  544.747,350.096 544.785,350.085 544.822,350.079 544.859,350.08 544.896,350.081 544.933,350.085 544.97,350.092 545.007,350.1 545.044,350.106 545.081,350.112 \n",
+       "  545.118,350.122 545.155,350.134 545.192,350.141 545.228,350.146 545.265,350.151 545.302,350.154 545.339,350.157 545.376,350.161 545.412,350.164 545.449,350.167 \n",
+       "  545.486,350.177 545.523,350.181 545.559,350.183 545.596,350.19 545.633,350.195 545.669,350.208 545.706,350.217 545.742,350.232 545.779,350.248 545.815,350.254 \n",
+       "  545.852,350.259 545.888,350.259 545.925,350.256 545.961,350.257 545.998,350.261 547.722,350.258 547.758,350.25 547.793,350.249 547.829,350.248 547.864,350.246 \n",
+       "  547.899,350.25 547.935,350.259 547.97,350.259 548.005,350.252 548.041,350.247 548.076,350.242 548.111,350.24 548.146,350.241 548.181,350.25 548.217,350.261 \n",
+       "  549.332,350.241 549.367,350.221 549.401,350.199 549.436,350.178 549.47,350.166 549.505,350.153 549.539,350.144 549.574,350.152 549.608,350.159 549.643,350.161 \n",
+       "  549.677,350.161 549.711,350.155 549.746,350.162 549.78,350.174 549.814,350.183 549.849,350.191 549.883,350.199 549.917,350.207 549.951,350.217 549.986,350.226 \n",
+       "  550.02,350.242 550.054,350.251 553.932,350.259 553.964,350.248 553.997,350.245 554.029,350.241 554.061,350.241 554.093,350.234 554.125,350.224 554.157,350.216 \n",
+       "  554.189,350.211 554.221,350.201 554.253,350.193 554.285,350.184 554.317,350.171 554.349,350.154 554.381,350.146 554.413,350.134 554.445,350.124 554.477,350.12 \n",
+       "  554.508,350.109 554.54,350.103 554.572,350.098 554.604,350.096 554.636,350.093 554.668,350.088 554.699,350.08 554.731,350.086 554.763,350.097 554.795,350.099 \n",
+       "  554.826,350.1 554.858,350.109 554.89,350.108 554.921,350.109 554.953,350.115 554.985,350.119 555.016,350.12 555.048,350.129 555.08,350.142 555.111,350.143 \n",
+       "  555.143,350.15 555.174,350.161 555.206,350.17 555.237,350.176 555.269,350.186 555.3,350.197 555.332,350.205 555.363,350.21 555.395,350.209 555.426,350.211 \n",
+       "  555.457,350.215 555.489,350.215 555.52,350.216 555.552,350.221 555.583,350.225 555.614,350.226 555.646,350.225 555.677,350.216 555.708,350.206 555.739,350.201 \n",
+       "  555.771,350.204 555.802,350.199 555.833,350.191 555.864,350.182 555.896,350.179 555.927,350.176 555.958,350.172 555.989,350.168 556.02,350.168 556.051,350.163 \n",
+       "  556.082,350.161 556.114,350.162 556.145,350.163 556.176,350.169 556.207,350.183 556.238,350.193 556.269,350.202 556.3,350.212 556.331,350.214 556.362,350.222 \n",
+       "  556.393,350.227 556.424,350.238 556.454,350.246 556.485,350.253 556.516,350.262 583.062,350.254 583.083,350.254 583.103,350.253 583.123,350.244 583.144,350.226 \n",
+       "  583.164,350.219 583.184,350.206 583.205,350.195 583.225,350.183 583.245,350.168 583.266,350.157 583.286,350.153 583.306,350.151 583.327,350.148 583.347,350.15 \n",
+       "  583.367,350.14 583.387,350.132 583.408,350.121 583.428,350.114 583.448,350.115 583.468,350.125 583.489,350.135 583.509,350.139 583.529,350.15 583.549,350.156 \n",
+       "  583.57,350.16 583.59,350.166 583.61,350.17 583.63,350.177 583.65,350.186 583.671,350.198 583.691,350.204 583.711,350.208 583.731,350.205 583.751,350.199 \n",
+       "  583.771,350.19 583.792,350.175 583.812,350.165 583.832,350.153 583.852,350.149 583.872,350.15 583.892,350.145 583.912,350.145 583.932,350.142 583.952,350.135 \n",
+       "  583.973,350.135 583.993,350.13 584.013,350.133 584.033,350.131 584.053,350.138 584.073,350.135 584.093,350.136 584.113,350.131 584.133,350.125 584.153,350.118 \n",
+       "  584.173,350.117 584.193,350.112 584.213,350.1 584.233,350.086 584.253,350.077 584.273,350.065 584.293,350.047 584.313,350.033 584.333,350.023 584.353,350.008 \n",
+       "  584.373,349.992 584.393,349.975 584.413,349.959 584.433,349.946 584.453,349.941 584.473,349.942 584.493,349.944 584.512,349.949 584.532,349.954 584.552,349.959 \n",
+       "  584.572,349.962 584.592,349.97 584.612,349.977 584.632,349.98 584.652,349.978 584.672,349.967 584.691,349.959 584.711,349.947 584.731,349.941 584.751,349.952 \n",
+       "  584.771,349.963 584.791,349.963 584.81,349.96 584.83,349.945 584.85,349.928 584.87,349.925 584.89,349.92 584.91,349.912 584.929,349.899 584.949,349.888 \n",
+       "  584.969,349.884 584.989,349.892 585.008,349.895 585.028,349.896 585.048,349.9 585.068,349.903 585.087,349.893 585.107,349.887 585.127,349.881 585.147,349.875 \n",
+       "  585.166,349.874 585.186,349.877 585.206,349.872 585.225,349.87 585.245,349.858 585.265,349.857 585.284,349.857 585.304,349.862 585.324,349.863 585.343,349.865 \n",
+       "  585.363,349.874 585.383,349.875 585.402,349.877 585.422,349.875 585.442,349.883 585.461,349.894 585.481,349.908 585.5,349.916 585.52,349.925 585.54,349.937 \n",
+       "  585.559,349.948 585.579,349.963 585.598,349.975 585.618,349.976 585.638,349.975 585.657,349.977 585.677,349.977 585.696,349.994 585.716,350.008 585.735,350.019 \n",
+       "  585.755,350.027 585.774,350.036 585.794,350.048 585.813,350.055 585.833,350.056 585.852,350.059 585.872,350.064 585.891,350.057 585.911,350.055 585.93,350.049 \n",
+       "  585.95,350.042 585.969,350.038 585.989,350.038 586.008,350.037 586.028,350.038 586.047,350.038 586.067,350.031 586.086,350.019 586.105,350.012 586.125,350.007 \n",
+       "  586.144,350.002 586.164,349.992 586.183,349.992 586.202,349.996 586.222,349.993 586.241,349.983 586.261,349.972 586.28,349.968 586.299,349.967 586.319,349.97 \n",
+       "  586.338,349.964 586.357,349.958 586.377,349.959 586.396,349.957 586.415,349.955 586.435,349.953 586.454,349.946 586.473,349.939 586.493,349.927 586.512,349.925 \n",
+       "  586.531,349.924 586.551,349.919 586.57,349.915 586.589,349.916 586.608,349.921 586.628,349.925 586.647,349.92 586.666,349.918 586.685,349.915 586.705,349.912 \n",
+       "  586.724,349.915 586.743,349.913 586.762,349.915 586.782,349.922 586.801,349.933 586.82,349.941 586.839,349.95 586.858,349.959 586.878,349.964 586.897,349.962 \n",
+       "  586.916,349.959 586.935,349.954 586.954,349.946 586.974,349.933 586.993,349.92 587.012,349.91 587.031,349.903 587.05,349.898 587.069,349.896 587.088,349.894 \n",
+       "  587.108,349.88 587.127,349.874 587.146,349.875 587.165,349.879 587.184,349.883 587.203,349.886 587.222,349.887 587.241,349.89 587.26,349.903 587.279,349.913 \n",
+       "  587.298,349.912 587.317,349.905 587.337,349.903 587.356,349.914 587.375,349.912 587.394,349.912 587.413,349.911 587.432,349.909 587.451,349.91 587.47,349.922 \n",
+       "  587.489,349.929 587.508,349.936 587.527,349.937 587.546,349.938 587.565,349.942 587.584,349.948 587.603,349.963 587.622,349.972 587.641,349.971 587.66,349.961 \n",
+       "  587.679,349.957 587.698,349.967 587.716,349.977 587.735,349.985 587.754,349.993 587.773,349.997 587.792,349.993 587.811,349.993 587.83,349.987 587.849,349.978 \n",
+       "  587.868,349.975 587.887,349.973 587.906,349.972 587.924,349.96 587.943,349.962 587.962,349.96 587.981,349.959 588,349.973 588.019,349.989 588.038,350.006 \n",
+       "  588.056,350.017 588.075,350.02 588.094,350.02 588.113,350.026 588.132,350.039 588.151,350.051 588.169,350.061 588.188,350.069 588.207,350.087 588.226,350.1 \n",
+       "  588.245,350.114 588.263,350.114 588.282,350.116 588.301,350.113 588.32,350.103 588.338,350.09 588.357,350.078 588.376,350.058 588.395,350.041 588.413,350.027 \n",
+       "  588.432,350.023 588.451,350.018 588.47,350.019 588.488,350.015 588.507,350.012 588.526,350.014 588.544,350.011 588.563,350.01 588.582,350.014 588.6,350.027 \n",
+       "  588.619,350.046 588.638,350.056 588.656,350.066 588.675,350.073 588.694,350.079 588.712,350.083 588.731,350.09 588.75,350.093 588.768,350.094 588.787,350.093 \n",
+       "  588.806,350.097 588.824,350.096 588.843,350.088 588.861,350.088 588.88,350.09 588.899,350.1 588.917,350.12 588.936,350.137 588.954,350.166 588.973,350.189 \n",
+       "  588.991,350.207 589.01,350.217 589.029,350.219 589.047,350.223 589.066,350.226 589.084,350.224 589.103,350.215 589.121,350.205 589.14,350.202 589.158,350.196 \n",
+       "  589.177,350.195 589.195,350.194 589.214,350.187 589.232,350.198 589.251,350.204 589.269,350.219 589.288,350.231 589.306,350.238 589.325,350.246 589.343,350.253 \n",
+       "  589.362,350.261 589.62,350.261 589.638,350.26 589.656,350.252 589.675,350.248 589.693,350.256 589.785,350.26 590.132,350.261 590.15,350.25 590.169,350.243 \n",
+       "  590.187,350.24 590.205,350.231 590.223,350.219 590.241,350.206 590.26,350.2 590.278,350.2 590.296,350.197 590.314,350.213 590.332,350.216 590.351,350.218 \n",
+       "  590.369,350.218 590.387,350.209 590.405,350.202 590.423,350.184 590.441,350.178 590.46,350.175 590.478,350.165 590.496,350.146 590.514,350.145 590.532,350.149 \n",
+       "  590.55,350.156 590.568,350.152 590.586,350.156 590.604,350.156 590.623,350.156 590.641,350.162 590.659,350.167 590.677,350.167 590.695,350.168 590.713,350.171 \n",
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+       "  590.911,350.13 590.929,350.127 590.947,350.124 590.965,350.122 590.983,350.106 591.001,350.094 591.019,350.091 591.037,350.083 591.055,350.079 591.073,350.068 \n",
+       "  591.091,350.062 591.109,350.055 591.127,350.05 591.145,350.043 591.163,350.046 591.181,350.041 591.199,350.041 591.217,350.039 591.235,350.052 591.253,350.062 \n",
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+       "  591.45,350.042 591.467,350.039 591.485,350.042 591.503,350.042 591.521,350.043 591.539,350.037 591.557,350.034 591.575,350.03 591.592,350.026 591.61,350.031 \n",
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+       "  592.863,350.136 592.88,350.132 592.898,350.118 592.915,350.098 592.933,350.075 592.95,350.056 592.968,350.033 592.985,350.022 593.002,350.016 593.02,350.015 \n",
+       "  593.037,350.014 593.055,350.02 593.072,350.028 593.09,350.036 593.107,350.033 593.124,350.033 593.142,350.039 593.159,350.039 593.177,350.04 593.194,350.039 \n",
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+       "  594.074,349.855 594.091,349.844 594.108,349.833 594.126,349.826 594.143,349.816 594.16,349.814 594.177,349.813 594.194,349.812 594.211,349.803 594.228,349.795 \n",
+       "  594.245,349.786 594.262,349.778 594.28,349.771 594.297,349.76 594.314,349.758 594.331,349.754 594.348,349.741 594.365,349.733 594.382,349.724 594.399,349.721 \n",
+       "  594.416,349.733 594.433,349.744 594.45,349.748 594.467,349.759 594.484,349.766 594.501,349.776 594.518,349.786 594.535,349.8 594.552,349.804 594.569,349.811 \n",
+       "  594.586,349.826 594.603,349.837 594.62,349.848 594.637,349.854 594.654,349.846 594.671,349.832 594.688,349.816 594.705,349.813 594.722,349.807 594.739,349.801 \n",
+       "  594.756,349.804 594.773,349.802 594.79,349.801 594.807,349.805 594.824,349.806 594.841,349.808 594.858,349.811 594.875,349.804 594.892,349.808 594.909,349.821 \n",
+       "  594.926,349.828 594.943,349.829 594.959,349.832 594.976,349.848 594.993,349.861 595.01,349.88 595.027,349.893 595.044,349.9 595.061,349.91 595.078,349.915 \n",
+       "  595.095,349.929 595.111,349.945 595.128,349.961 595.145,349.976 595.162,349.991 595.179,350.011 595.196,350.034 595.213,350.05 595.229,350.068 595.246,350.081 \n",
+       "  595.263,350.087 595.28,350.082 595.297,350.082 595.313,350.08 595.33,350.086 595.347,350.096 595.364,350.103 595.381,350.1 595.397,350.101 595.414,350.112 \n",
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+       "  596.924,350.197 596.94,350.184 596.957,350.174 596.973,350.162 596.989,350.155 597.006,350.147 597.022,350.144 597.038,350.145 597.055,350.156 597.071,350.162 \n",
+       "  597.088,350.163 597.104,350.159 597.12,350.155 597.137,350.151 597.153,350.148 597.169,350.143 597.186,350.144 597.202,350.147 597.218,350.154 597.235,350.163 \n",
+       "  597.251,350.172 597.267,350.176 597.283,350.18 597.3,350.185 597.316,350.188 597.332,350.188 597.349,350.186 597.365,350.197 597.381,350.194 597.397,350.196 \n",
+       "  597.414,350.206 597.43,350.221 597.446,350.235 597.463,350.248 598.734,350.259 598.75,350.25 598.766,350.242 598.782,350.234 598.798,350.228 598.814,350.216 \n",
+       "  598.83,350.206 598.845,350.205 598.861,350.221 598.877,350.236 598.893,350.244 598.909,350.248 598.925,350.247 598.941,350.26 599.887,350.262 599.918,350.261 \n",
+       "  599.934,350.261 600.246,350.26 600.261,350.236 600.277,350.201 600.292,350.171 600.308,350.161 600.323,350.154 600.339,350.154 600.355,350.152 600.37,350.148 \n",
+       "  600.386,350.154 600.401,350.161 600.417,350.17 600.432,350.177 600.448,350.182 600.463,350.196 600.479,350.2 600.494,350.207 600.51,350.211 600.525,350.213 \n",
+       "  600.541,350.207 600.556,350.197 600.572,350.186 600.587,350.185 600.603,350.186 600.618,350.182 600.634,350.184 600.649,350.179 600.664,350.177 600.68,350.173 \n",
+       "  600.695,350.168 600.711,350.162 600.726,350.151 600.742,350.152 600.757,350.155 600.773,350.158 600.788,350.171 600.803,350.18 600.819,350.186 600.834,350.198 \n",
+       "  600.85,350.215 600.865,350.227 600.881,350.234 600.896,350.231 600.911,350.22 600.927,350.21 600.942,350.203 600.958,350.19 600.973,350.18 600.988,350.183 \n",
+       "  601.004,350.177 601.019,350.176 601.034,350.177 601.05,350.181 601.065,350.193 601.081,350.191 601.096,350.189 601.111,350.188 601.127,350.204 601.142,350.218 \n",
+       "  601.157,350.234 601.173,350.238 601.188,350.237 601.203,350.233 601.219,350.233 601.234,350.226 601.249,350.223 601.265,350.213 601.28,350.211 601.295,350.21 \n",
+       "  601.311,350.195 601.326,350.187 601.341,350.186 601.356,350.189 601.372,350.186 601.387,350.176 601.402,350.16 601.418,350.15 601.433,350.146 601.448,350.141 \n",
+       "  601.463,350.13 601.479,350.122 601.494,350.123 601.509,350.14 601.524,350.136 601.54,350.134 601.555,350.133 601.57,350.136 601.585,350.146 601.601,350.151 \n",
+       "  601.616,350.153 601.631,350.154 601.646,350.153 601.662,350.15 601.677,350.14 601.692,350.134 601.707,350.131 601.722,350.128 601.738,350.122 601.753,350.12 \n",
+       "  601.768,350.119 601.783,350.117 601.798,350.112 601.814,350.101 601.829,350.099 601.844,350.094 601.859,350.093 601.874,350.092 601.889,350.087 601.905,350.092 \n",
+       "  601.92,350.086 601.935,350.087 601.95,350.081 601.965,350.079 601.98,350.081 601.996,350.075 602.011,350.077 602.026,350.084 602.041,350.096 602.056,350.1 \n",
+       "  602.071,350.113 602.086,350.136 602.101,350.166 602.117,350.18 602.132,350.198 602.147,350.225 602.162,350.24 602.177,350.249 602.192,350.252 602.207,350.251 \n",
+       "  602.222,350.24 602.237,350.239 602.252,350.241 602.267,350.242 602.283,350.255 602.298,350.261 602.688,350.257 602.703,350.252 602.718,350.255 602.733,350.256 \n",
+       "  602.748,350.259 602.763,350.256 602.778,350.257 602.793,350.261 602.808,350.261 605.515,350.259 605.53,350.239 605.544,350.231 605.558,350.224 605.573,350.227 \n",
+       "  605.587,350.226 605.601,350.226 605.616,350.231 605.63,350.237 605.644,350.242 605.658,350.244 605.673,350.236 605.687,350.234 605.701,350.225 605.716,350.233 \n",
+       "  605.73,350.237 605.744,350.239 605.758,350.241 605.773,350.249 605.787,350.25 605.801,350.26 605.815,350.26 605.83,350.257 606.086,350.253 606.1,350.242 \n",
+       "  606.114,350.246 606.128,350.246 606.143,350.249 606.157,350.241 606.171,350.229 606.185,350.218 606.199,350.213 606.214,350.21 606.228,350.218 606.242,350.224 \n",
+       "  606.256,350.234 606.27,350.238 606.284,350.241 606.299,350.241 606.313,350.25 606.327,350.26 606.89,350.261 606.904,350.259 607.476,350.261 607.49,350.256 \n",
+       "  607.504,350.255 607.518,350.249 607.532,350.246 607.546,350.244 607.56,350.238 607.574,350.229 607.588,350.212 607.601,350.208 607.615,350.208 607.629,350.206 \n",
+       "  607.643,350.206 607.657,350.199 607.671,350.198 607.685,350.199 607.698,350.202 607.712,350.205 607.726,350.202 607.74,350.203 607.754,350.207 607.768,350.202 \n",
+       "  607.781,350.202 607.795,350.204 607.809,350.21 607.823,350.21 607.837,350.216 607.851,350.224 607.864,350.235 607.878,350.233 607.892,350.229 607.906,350.221 \n",
+       "  607.92,350.214 607.933,350.206 607.947,350.197 607.961,350.193 607.975,350.188 607.989,350.18 608.002,350.162 608.016,350.15 608.03,350.148 608.044,350.14 \n",
+       "  608.057,350.133 608.071,350.126 608.085,350.119 608.099,350.115 608.112,350.112 608.126,350.108 608.14,350.106 608.154,350.095 608.167,350.098 608.181,350.107 \n",
+       "  608.195,350.113 608.209,350.117 608.222,350.123 608.236,350.135 608.25,350.148 608.264,350.153 608.277,350.156 608.291,350.153 608.305,350.157 608.318,350.15 \n",
+       "  608.332,350.145 608.346,350.128 608.36,350.115 608.373,350.104 608.387,350.094 608.401,350.081 608.414,350.08 608.428,350.073 608.442,350.071 608.455,350.072 \n",
+       "  608.469,350.078 608.483,350.077 608.496,350.076 608.51,350.075 608.524,350.08 608.537,350.079 608.551,350.079 608.565,350.076 608.578,350.077 608.592,350.081 \n",
+       "  608.606,350.081 608.619,350.091 608.633,350.109 608.647,350.123 608.66,350.138 608.674,350.14 608.688,350.139 608.701,350.141 608.715,350.148 608.729,350.145 \n",
+       "  608.742,350.138 608.756,350.148 608.769,350.153 608.783,350.169 608.797,350.176 608.81,350.183 608.824,350.193 608.837,350.197 608.851,350.21 608.865,350.234 \n",
+       "  608.878,350.246 608.892,350.252 608.905,350.258 608.919,350.262 608.933,350.263 608.946,350.255 608.96,350.249 608.973,350.24 608.987,350.233 609,350.233 \n",
+       "  609.014,350.234 609.028,350.232 609.041,350.237 609.055,350.241 609.068,350.245 609.082,350.243 609.095,350.241 609.109,350.244 609.122,350.255 609.136,350.26 \n",
+       "  609.177,350.262 609.19,350.262 609.204,350.254 609.217,350.245 609.231,350.241 609.244,350.238 609.258,350.226 609.271,350.225 609.285,350.225 609.298,350.234 \n",
+       "  609.312,350.243 609.325,350.245 609.339,350.247 609.352,350.248 609.366,350.244 609.379,350.245 609.393,350.248 609.406,350.24 609.42,350.237 609.433,350.243 \n",
+       "  609.447,350.255 609.46,350.263 609.514,350.259 609.527,350.252 609.541,350.25 609.554,350.241 609.568,350.223 609.581,350.2 609.595,350.189 609.608,350.176 \n",
+       "  609.621,350.167 609.635,350.155 609.648,350.132 609.662,350.11 609.675,350.09 609.689,350.074 609.702,350.062 609.715,350.049 609.729,350.033 609.742,350.015 \n",
+       "  609.756,350.017 609.769,350.026 609.782,350.039 609.796,350.052 609.809,350.064 609.823,350.073 609.836,350.077 609.849,350.086 609.863,350.095 609.876,350.099 \n",
+       "  609.89,350.095 609.903,350.1 609.916,350.101 609.93,350.112 609.943,350.122 609.956,350.129 609.97,350.134 609.983,350.133 609.997,350.138 610.01,350.143 \n",
+       "  610.023,350.143 610.037,350.146 610.05,350.151 610.063,350.165 610.077,350.171 610.09,350.18 610.103,350.193 610.117,350.192 610.13,350.181 610.143,350.174 \n",
+       "  610.157,350.169 610.17,350.166 610.183,350.166 610.197,350.169 610.21,350.172 610.223,350.169 610.237,350.176 610.25,350.179 610.263,350.17 610.276,350.161 \n",
+       "  610.29,350.151 610.303,350.147 610.316,350.149 610.33,350.157 610.343,350.154 610.356,350.151 610.369,350.144 610.383,350.128 610.396,350.124 610.409,350.111 \n",
+       "  610.423,350.099 610.436,350.098 610.449,350.104 610.462,350.112 610.476,350.117 610.489,350.123 610.502,350.126 610.515,350.135 610.529,350.137 610.542,350.137 \n",
+       "  610.555,350.139 610.568,350.146 610.582,350.141 610.595,350.129 610.608,350.123 610.621,350.125 610.634,350.117 610.648,350.109 610.661,350.106 610.674,350.108 \n",
+       "  610.687,350.114 610.701,350.115 610.714,350.126 610.727,350.14 610.74,350.145 610.753,350.15 610.767,350.164 610.78,350.166 610.793,350.17 610.806,350.174 \n",
+       "  610.819,350.186 610.833,350.188 610.846,350.202 610.859,350.211 610.872,350.219 610.885,350.224 610.898,350.222 610.912,350.226 610.925,350.233 610.938,350.235 \n",
+       "  610.951,350.25 611.214,350.247 611.227,350.233 611.24,350.219 611.253,350.197 611.266,350.175 611.279,350.163 611.292,350.152 611.305,350.141 611.318,350.134 \n",
+       "  611.331,350.127 611.345,350.128 611.358,350.124 611.371,350.118 611.384,350.113 611.397,350.113 611.41,350.105 611.423,350.094 611.436,350.087 611.449,350.079 \n",
+       "  611.462,350.074 611.475,350.068 611.488,350.054 611.501,350.042 611.514,350.038 611.527,350.052 611.54,350.053 611.553,350.056 611.566,350.055 611.58,350.044 \n",
+       "  611.593,350.04 611.606,350.036 611.619,350.037 611.632,350.032 611.645,350.029 611.658,350.019 611.671,350.014 611.684,350.007 611.697,350.014 611.71,350.023 \n",
+       "  611.723,350.02 611.736,350.017 611.749,350.015 611.762,350.012 611.775,350.015 611.788,350.016 611.801,350.015 611.814,350.003 611.827,349.988 611.84,349.977 \n",
+       "  611.853,349.972 611.866,349.977 611.878,349.978 611.891,349.988 611.904,349.998 611.917,350.005 611.93,350.011 611.943,350.008 611.956,349.999 611.969,349.996 \n",
+       "  611.982,350.001 611.995,350.002 612.008,349.998 612.021,349.99 612.034,349.977 612.047,349.967 612.06,349.947 612.073,349.938 612.086,349.92 612.099,349.916 \n",
+       "  612.111,349.903 612.124,349.89 612.137,349.89 612.15,349.907 612.163,349.916 612.176,349.933 612.189,349.946 612.202,349.96 612.215,349.98 612.228,349.993 \n",
+       "  612.241,349.998 612.253,350.008 612.266,350.021 612.279,350.031 612.292,350.039 612.305,350.049 612.318,350.05 612.331,350.056 612.344,350.062 612.357,350.073 \n",
+       "  612.369,350.077 612.382,350.08 612.395,350.084 612.408,350.087 612.421,350.093 612.434,350.09 612.447,350.087 612.459,350.082 612.472,350.075 612.485,350.066 \n",
+       "  612.498,350.063 612.511,350.071 612.524,350.073 612.536,350.076 612.549,350.086 612.562,350.094 612.575,350.11 612.588,350.123 612.601,350.118 612.613,350.131 \n",
+       "  612.626,350.137 612.639,350.13 612.652,350.115 612.665,350.095 612.678,350.076 612.69,350.059 612.703,350.047 612.716,350.034 612.729,350.026 612.742,350.007 \n",
+       "  612.754,350.003 612.767,349.999 612.78,350.006 612.793,350 612.805,350 612.818,350.005 612.831,350.005 612.844,350.011 612.857,350.012 612.869,350.007 \n",
+       "  612.882,350.012 612.895,350.012 612.908,350.016 612.92,350.021 612.933,350.034 612.946,350.047 612.959,350.065 612.971,350.077 612.984,350.089 612.997,350.097 \n",
+       "  613.01,350.096 613.022,350.089 613.035,350.08 613.048,350.075 613.061,350.078 613.073,350.087 613.086,350.098 613.099,350.105 613.111,350.113 613.124,350.116 \n",
+       "  613.137,350.126 613.15,350.134 613.162,350.137 613.175,350.128 613.188,350.119 613.2,350.105 613.213,350.093 613.226,350.072 613.239,350.065 613.251,350.062 \n",
+       "  613.264,350.051 613.277,350.037 613.289,350.021 613.302,349.999 613.315,349.983 613.327,349.967 613.34,349.95 613.353,349.942 613.365,349.919 613.378,349.907 \n",
+       "  613.391,349.904 613.403,349.909 613.416,349.914 613.429,349.919 613.441,349.922 613.454,349.925 613.467,349.929 613.479,349.932 613.492,349.932 613.505,349.939 \n",
+       "  613.517,349.941 613.53,349.946 613.542,349.954 613.555,349.956 613.568,349.945 613.58,349.943 613.593,349.943 613.606,349.939 613.618,349.946 613.631,349.955 \n",
+       "  613.643,349.974 613.656,349.994 613.669,350 613.681,350.013 613.694,350.022 613.707,350.031 613.719,350.04 613.732,350.05 613.744,350.052 613.757,350.059 \n",
+       "  613.769,350.068 613.782,350.076 613.795,350.086 613.807,350.088 613.82,350.095 613.832,350.102 613.845,350.106 613.858,350.103 613.87,350.097 613.883,350.09 \n",
+       "  613.895,350.088 613.908,350.082 613.92,350.078 613.933,350.078 613.946,350.065 613.958,350.055 613.971,350.048 613.983,350.053 613.996,350.062 614.008,350.066 \n",
+       "  614.021,350.063 614.033,350.052 614.046,350.043 614.058,350.03 614.071,350.019 614.083,350.001 614.096,349.977 614.109,349.96 614.121,349.95 614.134,349.937 \n",
+       "  614.146,349.939 614.159,349.951 614.171,349.955 614.184,349.953 614.196,349.962 614.209,349.964 614.221,349.974 614.234,349.985 614.246,349.986 614.259,349.995 \n",
+       "  614.271,350.012 614.284,350.03 614.296,350.052 614.309,350.07 614.321,350.094 614.334,350.115 614.346,350.133 614.358,350.158 614.371,350.176 614.383,350.192 \n",
+       "  614.396,350.204 614.408,350.204 614.421,350.205 614.433,350.201 614.446,350.191 614.458,350.182 614.471,350.18 614.483,350.181 614.496,350.18 614.508,350.18 \n",
+       "  614.52,350.173 614.533,350.16 614.545,350.15 614.558,350.143 614.57,350.131 614.583,350.128 614.595,350.127 614.607,350.131 614.62,350.128 614.632,350.117 \n",
+       "  614.645,350.106 614.657,350.106 614.67,350.107 614.682,350.106 614.694,350.098 614.707,350.086 614.719,350.084 614.732,350.091 614.744,350.111 614.756,350.126 \n",
+       "  614.769,350.132 614.781,350.139 614.794,350.143 614.806,350.138 614.818,350.127 614.831,350.132 614.843,350.139 614.855,350.148 614.868,350.156 614.88,350.175 \n",
+       "  614.893,350.19 614.905,350.207 614.917,350.22 614.93,350.23 614.942,350.24 614.954,350.238 614.967,350.24 614.979,350.25 614.991,350.26 615.029,350.259 \n",
+       "  615.041,350.257 615.053,350.255 615.066,350.248 615.078,350.253 615.09,350.252 615.103,350.254 615.115,350.258 615.386,350.259 615.398,350.246 615.41,350.239 \n",
+       "  615.422,350.242 615.435,350.244 615.447,350.245 615.459,350.244 615.471,350.243 615.484,350.234 615.496,350.226 615.508,350.225 615.52,350.21 615.533,350.192 \n",
+       "  615.545,350.177 615.557,350.166 615.569,350.141 615.582,350.128 615.594,350.116 615.606,350.103 615.618,350.082 615.631,350.074 615.643,350.069 615.655,350.054 \n",
+       "  615.667,350.037 615.679,350.022 615.692,350.012 615.704,350.005 615.716,350.001 615.728,349.994 615.74,349.987 615.753,349.98 615.765,349.98 615.777,349.978 \n",
+       "  615.789,349.975 615.801,349.973 615.814,349.984 615.826,349.995 615.838,350.014 615.85,350.035 615.862,350.044 615.875,350.057 615.887,350.058 615.899,350.056 \n",
+       "  615.911,350.048 615.923,350.053 615.935,350.051 615.948,350.048 615.96,350.047 615.972,350.051 615.984,350.059 615.996,350.078 616.008,350.088 616.021,350.093 \n",
+       "  616.033,350.103 616.045,350.111 616.057,350.102 616.069,350.093 616.081,350.084 616.093,350.077 616.106,350.083 616.118,350.082 616.13,350.069 616.142,350.073 \n",
+       "  616.154,350.088 616.166,350.102 616.178,350.104 616.191,350.12 616.203,350.126 616.215,350.129 616.227,350.129 616.239,350.138 616.251,350.149 616.263,350.149 \n",
+       "  616.275,350.15 616.287,350.156 616.3,350.168 616.312,350.171 616.324,350.169 616.336,350.171 616.348,350.154 616.36,350.141 616.372,350.134 616.384,350.13 \n",
+       "  616.396,350.125 616.408,350.124 616.42,350.124 616.432,350.133 616.445,350.145 616.457,350.149 616.469,350.147 616.481,350.139 616.493,350.13 616.505,350.131 \n",
+       "  616.517,350.132 616.529,350.134 616.541,350.134 616.553,350.131 616.565,350.124 616.577,350.117 616.589,350.116 616.601,350.126 616.613,350.13 616.625,350.12 \n",
+       "  616.637,350.107 616.649,350.101 616.662,350.095 616.674,350.1 616.686,350.104 616.698,350.108 616.71,350.117 616.722,350.128 616.734,350.135 616.746,350.133 \n",
+       "  616.758,350.136 616.77,350.135 616.782,350.139 616.794,350.134 616.806,350.13 616.818,350.134 616.83,350.14 616.842,350.139 616.854,350.148 616.866,350.151 \n",
+       "  616.878,350.151 616.89,350.152 616.902,350.159 616.914,350.156 616.926,350.158 616.938,350.16 616.95,350.158 616.962,350.156 616.974,350.152 616.986,350.152 \n",
+       "  616.998,350.148 617.009,350.154 617.021,350.145 617.033,350.141 617.045,350.127 617.057,350.112 617.069,350.096 617.081,350.091 617.093,350.096 617.105,350.098 \n",
+       "  617.117,350.105 617.129,350.111 617.141,350.11 617.153,350.105 617.165,350.095 617.177,350.086 617.189,350.089 617.201,350.09 617.213,350.101 617.224,350.103 \n",
+       "  617.236,350.103 617.248,350.105 617.26,350.101 617.272,350.094 617.284,350.082 617.296,350.083 617.308,350.078 617.32,350.074 617.332,350.07 617.344,350.071 \n",
+       "  617.356,350.083 617.367,350.09 617.379,350.099 617.391,350.106 617.403,350.108 617.415,350.111 617.427,350.114 617.439,350.117 617.451,350.137 617.463,350.153 \n",
+       "  617.474,350.159 617.486,350.15 617.498,350.138 617.51,350.135 617.522,350.133 617.534,350.137 617.546,350.132 617.558,350.118 617.569,350.115 617.581,350.108 \n",
+       "  617.593,350.111 617.605,350.109 617.617,350.106 617.629,350.096 617.641,350.085 617.652,350.089 617.664,350.083 617.676,350.091 617.688,350.104 617.7,350.105 \n",
+       "  617.712,350.107 617.723,350.114 617.735,350.118 617.747,350.127 617.759,350.131 617.771,350.123 617.783,350.121 617.794,350.122 617.806,350.122 617.818,350.127 \n",
+       "  617.83,350.125 617.842,350.125 617.853,350.127 617.865,350.136 617.877,350.137 617.889,350.13 617.901,350.128 617.912,350.138 617.924,350.14 617.936,350.144 \n",
+       "  617.948,350.148 617.96,350.145 617.971,350.142 617.983,350.136 617.995,350.134 618.007,350.126 618.019,350.107 618.03,350.101 618.042,350.102 618.054,350.092 \n",
+       "  618.066,350.091 618.077,350.099 618.089,350.099 618.101,350.101 618.113,350.099 618.124,350.099 618.136,350.089 618.148,350.085 618.16,350.07 618.172,350.054 \n",
+       "  618.183,350.058 618.195,350.066 618.207,350.074 618.218,350.082 618.23,350.085 618.242,350.101 618.254,350.109 618.265,350.12 618.277,350.135 618.289,350.158 \n",
+       "  618.301,350.168 618.312,350.178 618.324,350.178 618.336,350.174 618.348,350.17 618.359,350.166 618.371,350.162 618.383,350.164 618.394,350.164 618.406,350.165 \n",
+       "  618.418,350.165 618.429,350.153 618.441,350.145 618.453,350.148 618.465,350.141 618.476,350.128 618.488,350.126 618.5,350.127 618.511,350.14 618.523,350.153 \n",
+       "  618.535,350.168 618.546,350.186 618.558,350.201 618.57,350.215 618.581,350.231 618.593,350.241 618.605,350.244 618.616,350.248 618.628,350.248 618.64,350.255 \n",
+       "  618.651,350.263 619.093,350.262 619.105,350.252 619.116,350.236 619.128,350.221 619.139,350.209 619.151,350.207 619.163,350.205 619.174,350.2 619.186,350.197 \n",
+       "  619.197,350.191 619.209,350.191 619.22,350.191 619.232,350.19 619.243,350.211 619.255,350.226 619.267,350.227 619.278,350.24 619.29,350.251 619.555,350.257 \n",
+       "  619.566,350.25 619.578,350.242 619.589,350.234 619.601,350.228 619.612,350.215 619.624,350.214 619.635,350.221 619.647,350.219 619.658,350.21 619.67,350.2 \n",
+       "  619.681,350.192 619.693,350.19 619.704,350.178 619.715,350.169 619.727,350.159 619.738,350.154 619.75,350.149 619.761,350.137 619.773,350.123 619.784,350.11 \n",
+       "  619.796,350.102 619.807,350.097 619.819,350.11 619.83,350.123 619.842,350.145 619.853,350.154 619.864,350.173 619.876,350.2 619.887,350.221 619.899,350.234 \n",
+       "  619.91,350.231 619.922,350.224 619.933,350.22 619.944,350.221 619.956,350.222 619.967,350.217 619.979,350.213 619.99,350.207 620.002,350.198 620.013,350.188 \n",
+       "  620.024,350.175 620.036,350.161 620.047,350.168 620.059,350.176 620.07,350.186 620.081,350.191 620.093,350.195 620.104,350.206 620.116,350.22 620.127,350.246 \n",
+       "  622.311,350.259 622.322,350.256 622.333,350.253 622.344,350.26 622.355,350.261 622.739,350.263 622.783,350.249 622.794,350.236 622.805,350.244 622.816,350.251 \n",
+       "  624.135,350.251 624.146,350.231 624.156,350.211 624.167,350.198 624.178,350.186 624.189,350.186 624.199,350.189 624.21,350.196 624.221,350.205 624.231,350.219 \n",
+       "  624.242,350.225 624.253,350.232 624.263,350.232 624.274,350.231 624.285,350.224 624.295,350.223 624.306,350.212 624.317,350.205 624.327,350.197 624.338,350.181 \n",
+       "  624.349,350.176 624.359,350.181 624.37,350.192 624.381,350.208 624.391,350.224 624.402,350.235 624.413,350.245 624.423,350.258 629.549,350.256 629.608,350.257 \n",
+       "  629.618,350.253 629.628,350.263 629.638,350.261 629.647,350.259 629.657,350.256 629.667,350.262 629.697,350.26 629.706,350.24 629.716,350.219 629.726,350.217 \n",
+       "  629.736,350.212 629.746,350.199 629.755,350.178 629.765,350.158 629.775,350.15 629.785,350.143 629.795,350.148 629.804,350.165 629.814,350.178 629.824,350.196 \n",
+       "  629.834,350.197 629.843,350.211 629.853,350.22 629.863,350.221 629.873,350.232 629.883,350.245 629.892,350.247 629.902,350.242 629.912,350.229 629.922,350.216 \n",
+       "  629.931,350.2 629.941,350.193 629.951,350.19 629.961,350.198 629.971,350.205 629.98,350.217 629.99,350.242 630,350.259 630.068,350.257 630.078,350.246 \n",
+       "  630.088,350.24 630.097,350.241 630.107,350.241 630.117,350.228 630.127,350.217 630.136,350.207 630.146,350.191 630.156,350.195 630.166,350.189 630.175,350.186 \n",
+       "  630.185,350.186 630.195,350.181 630.205,350.179 630.214,350.178 630.224,350.181 630.234,350.191 630.243,350.202 630.253,350.218 630.263,350.238 630.273,350.252 \n",
+       "  630.282,350.251 630.292,350.26 630.311,350.26 630.321,350.262 630.341,350.257 631.714,350.249 631.724,350.239 631.733,350.23 631.743,350.232 631.752,350.23 \n",
+       "  631.762,350.214 631.771,350.194 631.781,350.176 631.79,350.162 631.8,350.155 631.809,350.161 631.819,350.15 631.828,350.129 631.838,350.12 631.847,350.106 \n",
+       "  631.857,350.101 631.866,350.084 631.876,350.075 631.885,350.074 631.895,350.076 631.904,350.064 631.914,350.054 631.923,350.036 631.932,350.031 631.942,350.028 \n",
+       "  631.951,350.035 631.961,350.03 631.97,350.026 631.98,350.015 631.989,350.006 631.999,350.003 632.008,350.005 632.018,350.011 632.027,350.015 632.037,350.029 \n",
+       "  632.046,350.039 632.055,350.047 632.065,350.041 632.074,350.043 632.084,350.037 632.093,350.034 632.103,350.032 632.112,350.023 632.122,350.019 632.131,350.016 \n",
+       "  632.14,350.004 632.15,349.996 632.159,349.986 632.169,349.991 632.178,349.997 632.188,350.007 632.197,350.016 632.207,350.022 632.216,350.033 632.225,350.034 \n",
+       "  632.235,350.041 632.244,350.044 632.254,350.055 632.263,350.056 632.272,350.071 632.282,350.081 632.291,350.089 632.301,350.112 632.31,350.143 632.32,350.172 \n",
+       "  632.329,350.188 632.338,350.207 632.348,350.224 632.357,350.241 632.367,350.246 632.376,350.257 632.498,350.251 632.508,350.238 632.517,350.232 632.526,350.244 \n",
+       "  633.319,350.257 633.328,350.236 633.337,350.214 633.347,350.201 633.356,350.177 633.365,350.15 633.375,350.123 633.384,350.092 633.393,350.061 633.402,350.036 \n",
+       "  633.412,350.016 633.421,350.007 633.43,349.999 633.439,349.985 633.449,349.966 633.458,349.946 633.467,349.926 633.476,349.91 633.486,349.894 633.495,349.893 \n",
+       "  633.504,349.895 633.513,349.896 633.522,349.893 633.532,349.912 633.541,349.925 633.55,349.938 633.559,349.941 633.569,349.948 633.578,349.939 633.587,349.93 \n",
+       "  633.596,349.928 633.606,349.924 633.615,349.932 633.624,349.941 633.633,349.951 633.642,349.945 633.652,349.957 633.661,349.965 633.67,349.968 633.679,349.978 \n",
+       "  633.689,349.984 633.698,349.983 633.707,349.986 633.716,349.994 633.725,350.006 633.735,349.995 633.744,349.997 633.753,349.999 633.762,349.982 633.771,349.976 \n",
+       "  633.781,349.978 633.79,349.977 633.799,349.987 633.808,349.992 633.817,349.997 633.827,350.014 633.836,350.008 633.845,349.999 633.854,349.98 633.863,349.952 \n",
+       "  633.873,349.926 633.882,349.9 633.891,349.873 633.9,349.854 633.909,349.844 633.918,349.833 633.928,349.824 633.937,349.822 633.946,349.809 633.955,349.799 \n",
+       "  633.964,349.787 633.974,349.78 633.983,349.775 633.992,349.772 634.001,349.781 634.01,349.79 634.019,349.794 634.029,349.795 634.038,349.796 634.047,349.793 \n",
+       "  634.056,349.797 634.065,349.794 634.074,349.807 634.084,349.83 634.093,349.851 634.102,349.873 634.111,349.886 634.12,349.906 634.129,349.924 634.138,349.95 \n",
+       "  634.148,349.978 634.157,350.008 634.166,350.024 634.175,350.048 634.184,350.066 634.193,350.08 634.202,350.095 634.212,350.114 634.221,350.128 634.23,350.144 \n",
+       "  634.239,350.148 634.248,350.168 634.257,350.172 634.266,350.179 634.276,350.183 634.285,350.189 634.294,350.189 634.303,350.181 634.312,350.183 634.321,350.181 \n",
+       "  634.33,350.185 634.339,350.2 634.348,350.217 634.358,350.224 634.367,350.22 634.376,350.218 634.385,350.211 634.394,350.207 634.403,350.217 634.412,350.248 \n",
+       "  634.649,350.25 634.658,350.241 634.667,350.234 634.676,350.229 634.685,350.232 634.694,350.229 634.703,350.227 634.712,350.231 634.721,350.221 634.73,350.223 \n",
+       "  634.739,350.201 634.748,350.186 634.758,350.183 634.767,350.188 634.776,350.199 634.785,350.208 634.794,350.225 634.803,350.235 634.812,350.242 634.821,350.24 \n",
+       "  634.83,350.244 634.839,350.249 634.848,350.261 634.957,350.256 634.966,350.244 634.975,350.24 634.984,350.233 634.993,350.222 635.002,350.205 635.011,350.18 \n",
+       "  635.02,350.16 635.029,350.144 635.038,350.126 635.047,350.112 635.056,350.097 635.065,350.064 635.074,350.043 635.083,350.033 635.092,350.035 635.101,350.042 \n",
+       "  635.11,350.042 635.119,350.032 635.128,350.02 635.137,350.008 635.146,349.993 635.155,349.978 635.164,349.96 635.173,349.952 635.182,349.955 635.191,349.966 \n",
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+       "  648.926,350.206 648.933,350.187 648.941,350.183 648.948,350.187 648.955,350.18 648.962,350.177 648.97,350.166 648.977,350.151 648.984,350.147 648.991,350.143 \n",
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+       "  649.216,350.158 649.223,350.163 649.23,350.157 649.237,350.156 649.245,350.151 649.252,350.16 649.259,350.179 649.266,350.196 649.273,350.232 649.92,350.261 \n",
+       "  649.927,350.203 649.934,350.154 649.941,350.117 649.948,350.103 649.955,350.097 649.962,350.075 649.97,350.043 649.977,350.024 649.984,350.01 649.991,350.012 \n",
+       "  649.998,350.014 650.005,350.002 650.012,349.996 650.02,349.998 650.027,349.972 650.034,349.962 650.041,349.959 650.048,349.937 650.055,349.907 650.062,349.871 \n",
+       "  650.069,349.842 650.077,349.827 650.084,349.799 650.091,349.816 650.098,349.835 650.105,349.855 650.112,349.868 650.119,349.874 650.126,349.88 650.134,349.886 \n",
+       "  650.141,349.89 650.148,349.891 650.155,349.878 650.162,349.855 650.169,349.848 650.176,349.86 650.183,349.857 650.191,349.86 650.198,349.864 650.205,349.855 \n",
+       "  650.212,349.842 650.219,349.843 650.226,349.845 650.233,349.839 650.24,349.833 650.247,349.828 650.255,349.828 650.262,349.842 650.269,349.869 650.276,349.908 \n",
+       "  650.283,349.961 650.29,349.993 650.297,350.027 650.304,350.068 650.311,350.095 650.318,350.107 650.326,350.128 650.333,350.169 650.34,350.217 650.347,350.233 \n",
+       "  650.354,350.253 650.361,350.249 650.368,350.238 650.375,350.229 650.382,350.22 650.389,350.206 650.396,350.158 650.404,350.126 650.411,350.082 650.418,350.063 \n",
+       "  650.425,350.058 650.432,350.065 650.439,350.063 650.446,350.045 650.453,350.028 650.46,350.005 650.467,349.998 650.474,349.99 650.482,349.958 650.489,349.95 \n",
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+       "  650.566,349.908 650.574,349.898 650.581,349.882 650.588,349.897 650.595,349.928 650.602,349.947 650.609,349.972 650.616,350.012 650.623,350.05 650.63,350.063 \n",
+       "  650.637,350.076 650.644,350.1 650.651,350.137 650.658,350.192 650.665,350.234 650.672,350.262 650.68,350.254 650.687,350.261 650.694,350.252 650.912,350.232 \n",
+       "  650.919,350.163 650.926,350.111 650.933,350.09 650.94,350.095 650.947,350.116 650.954,350.135 650.961,350.165 650.968,350.213 650.975,350.233 650.982,350.229 \n",
+       "  650.989,350.208 650.996,350.209 651.003,350.198 651.01,350.167 651.017,350.148 651.024,350.15 651.032,350.15 651.039,350.145 651.046,350.151 651.053,350.139 \n",
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+       "  651.13,349.993 651.137,349.974 651.144,349.978 651.151,349.957 651.158,349.965 651.165,349.971 651.172,349.983 651.179,349.985 651.186,350.006 651.193,350.034 \n",
+       "  651.2,350.052 651.207,350.092 651.214,350.126 651.221,350.152 651.228,350.161 651.235,350.163 651.242,350.182 651.249,350.205 651.256,350.234 651.347,350.261 \n",
+       "  651.354,350.22 651.361,350.168 651.368,350.117 651.375,350.048 651.382,349.995 651.389,349.938 651.396,349.867 651.403,349.815 651.41,349.814 651.416,349.836 \n",
+       "  651.423,349.839 651.43,349.848 651.437,349.84 651.444,349.821 651.451,349.792 651.458,349.756 651.465,349.746 651.472,349.734 651.479,349.72 651.486,349.699 \n",
+       "  651.493,349.669 651.5,349.658 651.507,349.62 651.514,349.574 651.521,349.516 651.528,349.494 651.535,349.513 651.542,349.549 651.549,349.589 651.556,349.611 \n",
+       "  651.563,349.624 651.57,349.618 651.577,349.619 651.584,349.638 651.591,349.672 651.598,349.704 651.605,349.731 651.612,349.757 651.619,349.798 651.625,349.831 \n",
+       "  651.632,349.842 651.639,349.863 651.646,349.868 651.653,349.877 651.66,349.884 651.667,349.893 651.674,349.915 651.681,349.95 651.688,350.004 651.695,350.053 \n",
+       "  651.702,350.111 651.709,350.137 651.716,350.158 651.723,350.158 651.73,350.137 651.737,350.144 651.744,350.171 651.751,350.188 651.758,350.188 651.764,350.2 \n",
+       "  651.771,350.22 651.778,350.248 651.813,350.253 651.82,350.235 651.827,350.226 651.834,350.233 651.841,350.241 651.848,350.24 651.855,350.233 651.862,350.223 \n",
+       "  651.868,350.215 651.875,350.203 651.882,350.212 651.889,350.209 651.896,350.2 651.903,350.202 651.91,350.211 651.917,350.18 651.924,350.15 651.931,350.134 \n",
+       "  651.938,350.124 651.945,350.111 651.952,350.106 651.958,350.113 651.965,350.113 651.972,350.088 651.979,350.079 651.986,350.057 651.993,350.011 652,349.975 \n",
+       "  652.007,349.974 652.014,349.974 652.021,349.956 652.028,349.938 652.035,349.938 652.041,349.929 652.048,349.932 652.055,349.938 652.062,349.93 652.069,349.89 \n",
+       "  652.076,349.838 652.083,349.817 652.09,349.788 652.097,349.772 652.104,349.764 652.111,349.755 652.117,349.76 652.124,349.776 652.131,349.807 652.138,349.826 \n",
+       "  652.145,349.854 652.152,349.877 652.159,349.893 652.166,349.894 652.173,349.921 652.18,349.975 652.186,350.018 652.193,350.054 652.2,350.086 652.207,350.102 \n",
+       "  652.214,350.101 652.221,350.13 652.228,350.171 652.235,350.181 652.242,350.204 652.248,350.234 652.255,350.238 652.262,350.244 652.324,350.261 652.331,350.23 \n",
+       "  652.338,350.225 652.345,350.251 652.359,350.257 652.365,350.246 652.372,350.257 652.379,350.243 652.386,350.245 652.393,350.222 652.4,350.187 652.407,350.13 \n",
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+       "  446.954,312.3 447.126,312.382 447.297,312.47 447.468,312.559 447.639,312.648 447.808,312.736 447.978,312.808 448.147,312.873 448.316,312.941 448.484,313.01 \n",
+       "  448.651,313.076 448.819,313.14 448.985,313.2 449.152,313.265 449.318,313.315 449.483,313.376 449.648,313.425 449.813,313.463 449.977,313.49 450.141,313.527 \n",
+       "  450.304,313.579 450.467,313.636 450.63,313.699 450.792,313.743 450.954,313.791 451.115,313.837 451.276,313.896 451.437,313.946 451.597,313.995 451.756,314.044 \n",
+       "  451.916,314.092 452.075,314.14 452.233,314.194 452.391,314.243 452.549,314.277 452.706,314.315 452.863,314.363 453.02,314.395 453.176,314.433 453.332,314.466 \n",
+       "  453.487,314.506 453.642,314.561 453.797,314.618 453.951,314.683 454.105,314.755 454.259,314.821 454.412,314.882 454.565,314.936 454.717,314.974 454.869,315.028 \n",
+       "  455.021,315.075 455.172,315.12 455.323,315.166 455.474,315.211 455.624,315.262 455.774,315.315 455.924,315.366 456.073,315.414 456.222,315.468 456.371,315.523 \n",
+       "  456.519,315.58 456.667,315.629 456.814,315.673 456.961,315.712 457.108,315.765 457.255,315.824 457.401,315.885 457.547,315.938 457.692,316 457.838,316.061 \n",
+       "  457.982,316.126 458.127,316.208 458.271,316.277 458.415,316.347 458.558,316.418 458.702,316.492 458.845,316.567 458.987,316.643 459.129,316.71 459.271,316.765 \n",
+       "  459.413,316.825 459.554,316.869 459.695,316.91 459.836,316.958 459.976,317.007 460.116,317.06 460.256,317.123 460.396,317.177 460.535,317.238 460.674,317.3 \n",
+       "  460.812,317.367 460.951,317.423 461.088,317.464 461.226,317.501 461.363,317.543 461.501,317.59 461.637,317.636 461.774,317.682 461.91,317.715 462.046,317.749 \n",
+       "  462.181,317.782 462.317,317.828 462.452,317.875 462.587,317.924 462.721,317.959 462.855,317.996 462.989,318.034 463.123,318.071 463.256,318.107 463.389,318.147 \n",
+       "  463.522,318.183 463.654,318.219 463.787,318.263 463.919,318.311 464.05,318.362 464.182,318.42 464.313,318.485 464.444,318.548 464.574,318.621 464.705,318.702 \n",
+       "  464.835,318.775 464.965,318.849 465.094,318.926 465.223,319.003 465.353,319.073 465.481,319.141 465.61,319.202 465.738,319.269 465.866,319.337 465.994,319.395 \n",
+       "  466.121,319.461 466.248,319.537 466.375,319.602 466.502,319.677 466.629,319.746 466.755,319.816 466.881,319.875 467.007,319.929 467.132,319.99 467.257,320.056 \n",
+       "  467.382,320.119 467.507,320.189 467.631,320.249 467.756,320.316 467.88,320.387 468.004,320.45 468.127,320.509 468.25,320.565 468.373,320.612 468.496,320.656 \n",
+       "  468.619,320.691 468.741,320.743 468.863,320.798 468.985,320.854 469.107,320.911 469.228,320.988 469.349,321.049 469.47,321.1 469.591,321.159 469.712,321.232 \n",
+       "  469.832,321.304 469.952,321.37 470.072,321.438 470.191,321.51 470.311,321.59 470.43,321.671 470.549,321.749 470.667,321.808 470.786,321.873 470.904,321.926 \n",
+       "  471.022,321.978 471.14,322.012 471.258,322.044 471.375,322.087 471.492,322.127 471.609,322.176 471.726,322.233 471.842,322.295 471.959,322.345 472.075,322.396 \n",
+       "  472.191,322.438 472.307,322.477 472.422,322.512 472.537,322.55 472.652,322.582 472.767,322.617 472.882,322.644 472.996,322.681 473.111,322.721 473.225,322.764 \n",
+       "  473.338,322.803 473.452,322.848 473.565,322.887 473.679,322.924 473.792,322.95 473.905,322.979 474.017,323.003 474.13,323.032 474.242,323.059 474.354,323.08 \n",
+       "  474.466,323.104 474.577,323.124 474.689,323.14 474.8,323.153 474.911,323.179 475.022,323.208 475.133,323.246 475.243,323.281 475.353,323.302 475.464,323.34 \n",
+       "  475.573,323.384 475.683,323.429 475.793,323.477 475.902,323.529 476.011,323.579 476.12,323.62 476.229,323.656 476.338,323.693 476.446,323.742 476.554,323.789 \n",
+       "  476.662,323.83 476.77,323.855 476.878,323.884 476.985,323.924 477.093,323.955 477.2,323.995 477.307,324.056 477.414,324.114 477.52,324.182 477.627,324.246 \n",
+       "  477.733,324.319 477.839,324.393 477.945,324.46 478.051,324.522 478.156,324.589 478.261,324.654 478.367,324.722 478.472,324.79 478.577,324.842 478.681,324.898 \n",
+       "  478.786,324.954 478.89,325.012 478.994,325.083 479.098,325.138 479.202,325.194 479.306,325.245 479.409,325.308 479.513,325.378 479.616,325.457 479.719,325.524 \n",
+       "  479.822,325.602 479.924,325.669 480.027,325.739 480.129,325.81 480.231,325.87 480.333,325.934 480.435,325.996 480.537,326.055 480.638,326.108 480.74,326.167 \n",
+       "  480.841,326.228 480.942,326.301 481.043,326.371 481.143,326.441 481.244,326.504 481.344,326.563 481.445,326.613 481.545,326.669 481.645,326.72 481.744,326.775 \n",
+       "  481.844,326.824 481.943,326.874 482.043,326.919 482.142,326.967 482.241,327.008 482.34,327.046 482.438,327.087 482.537,327.118 482.635,327.158 482.734,327.192 \n",
+       "  482.832,327.224 482.93,327.251 483.027,327.279 483.125,327.308 483.223,327.332 483.32,327.372 483.417,327.413 483.514,327.462 483.611,327.511 483.708,327.551 \n",
+       "  483.804,327.59 483.901,327.635 483.997,327.673 484.093,327.701 484.189,327.73 484.285,327.761 484.381,327.783 484.476,327.81 484.572,327.853 484.667,327.896 \n",
+       "  484.762,327.934 484.857,327.981 484.952,328.019 485.047,328.065 485.142,328.11 485.236,328.169 485.33,328.234 485.425,328.305 485.519,328.385 485.612,328.459 \n",
+       "  485.706,328.523 485.8,328.589 485.893,328.649 485.987,328.709 486.08,328.753 486.173,328.808 486.266,328.867 486.359,328.935 486.451,329.007 486.544,329.076 \n",
+       "  486.636,329.146 486.729,329.23 486.821,329.32 486.913,329.41 487.005,329.489 487.096,329.565 487.188,329.649 487.279,329.734 487.371,329.81 487.462,329.893 \n",
+       "  487.553,329.979 487.644,330.058 487.735,330.141 487.826,330.223 487.916,330.299 488.007,330.377 488.097,330.448 488.187,330.527 488.277,330.61 488.367,330.688 \n",
+       "  488.457,330.763 488.547,330.83 488.636,330.898 488.725,330.971 488.815,331.034 488.904,331.107 488.993,331.177 489.082,331.24 489.171,331.305 489.259,331.363 \n",
+       "  489.348,331.427 489.436,331.486 489.525,331.55 489.613,331.62 489.701,331.683 489.789,331.752 489.877,331.831 489.964,331.901 490.052,331.985 490.139,332.06 \n",
+       "  490.227,332.13 490.314,332.19 490.401,332.263 490.488,332.338 490.575,332.419 490.662,332.502 490.748,332.585 490.835,332.683 490.921,332.781 491.008,332.868 \n",
+       "  491.094,332.958 491.18,333.047 491.266,333.132 491.352,333.224 491.437,333.319 491.523,333.41 491.608,333.492 491.694,333.575 491.779,333.647 491.864,333.725 \n",
+       "  491.949,333.798 492.034,333.878 492.119,333.944 492.203,334.001 492.288,334.047 492.372,334.1 492.457,334.159 492.541,334.228 492.625,334.29 492.709,334.338 \n",
+       "  492.793,334.395 492.877,334.452 492.96,334.509 493.044,334.565 493.127,334.617 493.211,334.677 493.294,334.726 493.377,334.778 493.46,334.823 493.543,334.876 \n",
+       "  493.626,334.931 493.709,334.995 493.791,335.055 493.874,335.109 493.956,335.16 494.038,335.197 494.121,335.233 494.203,335.277 494.285,335.326 494.366,335.37 \n",
+       "  494.448,335.416 494.53,335.464 494.611,335.513 494.693,335.555 494.774,335.608 494.855,335.671 494.936,335.722 495.018,335.755 495.098,335.793 495.179,335.839 \n",
+       "  495.26,335.891 495.341,335.932 495.421,335.976 495.501,336.023 495.582,336.082 495.662,336.13 495.742,336.185 495.822,336.229 495.902,336.27 495.982,336.324 \n",
+       "  496.062,336.376 496.141,336.441 496.221,336.501 496.3,336.566 496.379,336.621 496.459,336.663 496.538,336.708 496.617,336.757 496.696,336.799 496.774,336.844 \n",
+       "  496.853,336.898 496.932,336.955 497.01,337.002 497.089,337.043 497.167,337.092 497.245,337.151 497.323,337.223 497.401,337.291 497.479,337.362 497.557,337.427 \n",
+       "  497.635,337.498 497.713,337.559 497.79,337.618 497.868,337.692 497.945,337.774 498.022,337.862 498.1,337.957 498.177,338.045 498.254,338.117 498.331,338.186 \n",
+       "  498.408,338.243 498.484,338.314 498.561,338.384 498.637,338.445 498.714,338.509 498.79,338.589 498.867,338.66 498.943,338.727 499.019,338.796 499.095,338.862 \n",
+       "  499.171,338.931 499.247,339.002 499.322,339.074 499.398,339.141 499.473,339.211 499.549,339.292 499.624,339.38 499.7,339.465 499.775,339.562 499.85,339.645 \n",
+       "  499.925,339.739 500,339.828 500.075,339.896 500.149,339.965 500.224,340.032 500.299,340.091 500.373,340.164 500.448,340.225 500.522,340.292 500.596,340.372 \n",
+       "  500.67,340.448 500.744,340.516 500.818,340.582 500.892,340.653 500.966,340.715 501.04,340.787 501.113,340.859 501.187,340.924 501.26,340.991 501.334,341.051 \n",
+       "  501.407,341.112 501.48,341.186 501.553,341.25 501.626,341.309 501.699,341.355 501.772,341.406 501.845,341.451 501.918,341.489 501.99,341.53 502.063,341.586 \n",
+       "  502.135,341.635 502.208,341.692 502.28,341.75 502.352,341.806 502.424,341.854 502.497,341.894 502.569,341.928 502.64,341.966 502.712,342.003 502.784,342.045 \n",
+       "  502.856,342.096 502.927,342.145 502.999,342.199 503.07,342.262 503.141,342.309 503.213,342.355 503.284,342.398 503.355,342.43 503.426,342.466 503.497,342.496 \n",
+       "  503.568,342.534 503.638,342.57 503.709,342.6 503.78,342.621 503.85,342.65 503.921,342.665 503.991,342.683 504.061,342.701 504.132,342.723 504.202,342.747 \n",
+       "  504.272,342.763 504.342,342.779 504.412,342.804 504.482,342.836 504.551,342.864 504.621,342.88 504.691,342.908 504.76,342.931 504.83,342.962 504.899,342.985 \n",
+       "  504.968,342.993 505.038,343.015 505.107,343.034 505.176,343.071 505.245,343.116 505.314,343.159 505.383,343.195 505.452,343.227 505.52,343.26 505.589,343.293 \n",
+       "  505.658,343.325 505.726,343.348 505.794,343.378 505.863,343.415 505.931,343.469 505.999,343.51 506.067,343.547 506.135,343.598 506.203,343.636 506.271,343.677 \n",
+       "  506.339,343.712 506.407,343.763 506.475,343.803 506.542,343.839 506.61,343.88 506.677,343.918 506.745,343.957 506.812,343.991 506.879,344.017 506.947,344.028 \n",
+       "  507.014,344.038 507.081,344.044 507.148,344.058 507.215,344.055 507.281,344.066 507.348,344.085 507.415,344.112 507.482,344.128 507.548,344.142 507.615,344.144 \n",
+       "  507.681,344.145 507.747,344.145 507.814,344.145 507.88,344.137 507.946,344.131 508.012,344.137 508.078,344.15 508.144,344.175 508.21,344.215 508.276,344.254 \n",
+       "  508.342,344.292 508.407,344.33 508.473,344.368 508.538,344.41 508.604,344.458 508.669,344.506 508.735,344.555 508.8,344.594 508.865,344.642 508.93,344.684 \n",
+       "  508.995,344.728 509.06,344.77 509.125,344.82 509.19,344.861 509.255,344.918 509.32,344.965 509.384,345.003 509.449,345.041 509.514,345.071 509.578,345.112 \n",
+       "  509.642,345.144 509.707,345.178 509.771,345.208 509.835,345.242 509.899,345.282 509.964,345.323 510.028,345.375 510.092,345.434 510.155,345.498 510.219,345.559 \n",
+       "  510.283,345.617 510.347,345.674 510.41,345.727 510.474,345.777 510.537,345.818 510.601,345.866 510.664,345.908 510.728,345.961 510.791,346.014 510.854,346.065 \n",
+       "  510.917,346.124 510.98,346.184 511.043,346.236 511.106,346.286 511.169,346.352 511.232,346.421 511.295,346.496 511.357,346.567 511.42,346.636 511.483,346.71 \n",
+       "  511.545,346.787 511.608,346.854 511.67,346.928 511.732,346.994 511.795,347.057 511.857,347.107 511.919,347.156 511.981,347.207 512.043,347.266 512.105,347.327 \n",
+       "  512.167,347.386 512.229,347.428 512.291,347.477 512.353,347.526 512.414,347.579 512.476,347.623 512.537,347.664 512.599,347.708 512.66,347.758 512.722,347.818 \n",
+       "  512.783,347.878 512.844,347.935 512.905,347.984 512.967,348.031 513.028,348.075 513.089,348.107 513.15,348.125 513.211,348.128 513.271,348.134 513.332,348.158 \n",
+       "  513.393,348.178 513.454,348.194 513.514,348.208 513.575,348.226 513.635,348.235 513.696,348.243 513.756,348.249 513.817,348.268 513.877,348.29 513.937,348.318 \n",
+       "  513.997,348.332 514.057,348.349 514.117,348.373 514.177,348.387 514.237,348.402 514.297,348.424 514.357,348.447 514.417,348.464 514.476,348.474 514.536,348.497 \n",
+       "  514.596,348.528 514.655,348.555 514.715,348.577 514.774,348.602 514.834,348.626 514.893,348.647 514.952,348.66 515.011,348.656 515.071,348.649 515.13,348.652 \n",
+       "  515.189,348.649 515.248,348.666 515.307,348.68 515.366,348.697 515.424,348.711 515.483,348.727 515.542,348.738 515.601,348.753 515.659,348.779 515.718,348.801 \n",
+       "  515.776,348.821 515.835,348.84 515.893,348.851 515.951,348.859 516.01,348.858 516.068,348.867 516.126,348.888 516.184,348.906 516.242,348.925 516.3,348.934 \n",
+       "  516.358,348.946 516.416,348.951 516.474,348.957 516.532,348.959 516.59,348.961 516.647,348.964 516.705,348.965 516.763,348.966 516.82,348.964 516.878,348.955 \n",
+       "  516.935,348.944 516.993,348.939 517.05,348.928 517.107,348.923 517.165,348.927 517.222,348.933 517.279,348.939 517.336,348.943 517.393,348.936 517.45,348.945 \n",
+       "  517.507,348.968 517.564,348.976 517.621,348.981 517.678,348.992 517.734,348.999 517.791,349.012 517.848,349.024 517.904,349.046 517.961,349.061 518.017,349.077 \n",
+       "  518.074,349.08 518.13,349.087 518.186,349.096 518.243,349.113 518.299,349.122 518.355,349.131 518.411,349.14 518.467,349.137 518.523,349.143 518.579,349.147 \n",
+       "  518.635,349.143 518.691,349.133 518.747,349.133 518.803,349.129 518.859,349.123 518.914,349.111 518.97,349.105 519.026,349.104 519.081,349.105 519.137,349.11 \n",
+       "  519.192,349.107 519.247,349.103 519.303,349.099 519.358,349.083 519.413,349.064 519.469,349.057 519.524,349.047 519.579,349.039 519.634,349.037 519.689,349.04 \n",
+       "  519.744,349.028 519.799,349.026 519.854,349.031 519.909,349.023 519.963,349.008 520.018,348.999 520.073,348.994 520.128,348.983 520.182,348.977 520.237,348.97 \n",
+       "  520.291,348.954 520.346,348.95 520.4,348.94 520.454,348.938 520.509,348.941 520.563,348.943 520.617,348.946 520.671,348.943 520.726,348.938 520.78,348.944 \n",
+       "  520.834,348.947 520.888,348.961 520.942,348.986 520.996,349.011 521.049,349.032 521.103,349.056 521.157,349.072 521.211,349.089 521.264,349.111 521.318,349.133 \n",
+       "  521.372,349.152 521.425,349.165 521.479,349.17 521.532,349.171 521.586,349.171 521.639,349.169 521.692,349.174 521.746,349.175 521.799,349.165 521.852,349.156 \n",
+       "  521.905,349.164 521.958,349.161 522.011,349.159 522.064,349.151 522.117,349.155 522.17,349.155 522.223,349.153 522.276,349.158 522.329,349.163 522.382,349.187 \n",
+       "  522.434,349.213 522.487,349.245 522.54,349.275 522.592,349.294 522.645,349.305 522.697,349.318 522.75,349.336 522.802,349.361 522.854,349.371 522.907,349.389 \n",
+       "  522.959,349.417 523.011,349.441 523.063,349.457 523.116,349.466 523.168,349.466 523.22,349.466 523.272,349.469 523.324,349.459 523.376,349.443 523.428,349.434 \n",
+       "  523.479,349.432 523.531,349.413 523.583,349.41 523.635,349.415 523.686,349.433 523.738,349.449 523.79,349.468 523.841,349.479 523.893,349.474 523.944,349.457 \n",
+       "  523.996,349.431 524.047,349.408 524.098,349.379 524.15,349.367 524.201,349.352 524.252,349.332 524.303,349.304 524.354,349.297 524.406,349.302 524.457,349.307 \n",
+       "  524.508,349.315 524.559,349.316 524.61,349.327 524.661,349.339 524.711,349.349 524.762,349.36 524.813,349.372 524.864,349.388 524.914,349.388 524.965,349.38 \n",
+       "  525.016,349.394 525.066,349.398 525.117,349.397 525.167,349.394 525.218,349.392 525.268,349.382 525.319,349.368 525.369,349.357 525.419,349.36 525.469,349.37 \n",
+       "  525.52,349.389 525.57,349.408 525.62,349.435 525.67,349.468 525.72,349.495 525.77,349.516 525.82,349.526 525.87,349.529 525.92,349.538 525.97,349.529 \n",
+       "  526.02,349.528 526.069,349.518 526.119,349.51 526.169,349.506 526.219,349.504 526.268,349.502 526.318,349.503 526.367,349.488 526.417,349.477 526.466,349.479 \n",
+       "  526.516,349.478 526.565,349.465 526.615,349.434 526.664,349.422 526.713,349.393 526.762,349.365 526.812,349.338 526.861,349.318 526.91,349.293 526.959,349.26 \n",
+       "  527.008,349.234 527.057,349.207 527.106,349.193 527.155,349.195 527.204,349.195 527.253,349.2 527.302,349.211 527.351,349.208 527.399,349.202 527.448,349.212 \n",
+       "  527.497,349.218 527.545,349.23 527.594,349.243 527.643,349.254 527.691,349.261 527.74,349.267 527.788,349.27 527.836,349.285 527.885,349.286 527.933,349.287 \n",
+       "  527.982,349.276 528.03,349.257 528.078,349.254 528.126,349.263 528.174,349.268 528.223,349.27 528.271,349.275 528.319,349.276 528.367,349.281 528.415,349.299 \n",
+       "  528.463,349.315 528.511,349.337 528.559,349.351 528.606,349.385 528.654,349.404 528.702,349.405 528.75,349.399 528.797,349.394 528.845,349.405 528.893,349.418 \n",
+       "  528.94,349.425 528.988,349.439 529.035,349.443 529.083,349.442 529.13,349.451 529.178,349.466 529.225,349.478 529.272,349.503 529.32,349.519 529.367,349.531 \n",
+       "  529.414,349.542 529.462,349.557 529.509,349.568 529.556,349.576 529.603,349.586 529.65,349.602 529.697,349.624 529.744,349.646 529.791,349.672 529.838,349.699 \n",
+       "  529.885,349.721 529.932,349.727 529.979,349.732 530.025,349.743 530.072,349.755 530.119,349.775 530.166,349.806 530.212,349.83 530.259,349.855 530.305,349.893 \n",
+       "  530.352,349.934 530.398,349.968 530.445,350.001 530.491,350.025 530.538,350.046 530.584,350.075 530.631,350.093 530.677,350.112 530.723,350.126 530.769,350.146 \n",
+       "  530.816,350.165 530.862,350.186 530.908,350.206 530.954,350.224 531,350.237 531.046,350.241 531.092,350.227 531.138,350.208 531.184,350.196 531.23,350.186 \n",
+       "  531.276,350.177 531.322,350.172 531.368,350.181 531.413,350.19 531.459,350.205 531.505,350.223 531.551,350.229 531.596,350.227 531.642,350.227 531.687,350.223 \n",
+       "  531.733,350.216 531.779,350.213 531.824,350.207 531.87,350.202 531.915,350.209 531.96,350.224 532.006,350.227 532.051,350.231 532.096,350.229 532.142,350.226 \n",
+       "  532.187,350.227 532.232,350.239 532.277,350.252 532.322,350.255 532.413,350.247 532.458,350.236 532.503,350.224 532.548,350.219 532.593,350.211 532.637,350.218 \n",
+       "  532.682,350.227 532.727,350.244 532.772,350.256 538.878,350.249 538.918,350.203 538.959,350.152 539,350.124 539.04,350.105 539.081,350.088 539.121,350.068 \n",
+       "  539.162,350.054 539.202,350.03 539.243,350.012 539.283,349.985 539.324,349.964 539.364,349.944 539.405,349.929 539.445,349.924 539.485,349.914 539.526,349.892 \n",
+       "  539.566,349.864 539.606,349.849 539.647,349.843 539.687,349.828 539.727,349.816 539.767,349.799 539.807,349.786 539.847,349.777 539.887,349.762 539.928,349.743 \n",
+       "  539.968,349.742 540.008,349.735 540.048,349.732 540.088,349.733 540.127,349.728 540.167,349.727 540.207,349.723 540.247,349.726 540.287,349.735 540.327,349.737 \n",
+       "  540.367,349.724 540.406,349.723 540.446,349.717 540.486,349.727 540.526,349.734 540.565,349.741 540.605,349.752 540.644,349.752 540.684,349.749 540.724,349.757 \n",
+       "  540.763,349.771 540.803,349.784 540.842,349.792 540.882,349.793 540.921,349.796 540.961,349.81 541,349.81 541.039,349.802 541.079,349.806 541.118,349.81 \n",
+       "  541.157,349.812 541.197,349.829 541.236,349.852 541.275,349.875 541.314,349.898 541.353,349.903 541.393,349.927 541.432,349.95 541.471,349.968 541.51,349.969 \n",
+       "  541.549,349.958 541.588,349.96 541.627,349.965 541.666,349.957 541.705,349.943 541.744,349.928 541.783,349.922 541.822,349.925 541.861,349.939 541.899,349.957 \n",
+       "  541.938,349.98 541.977,350 542.016,350.021 542.055,350.022 542.093,350.027 542.132,350.036 542.171,350.033 542.209,350.023 542.248,350.018 542.287,350.005 \n",
+       "  542.325,350.006 542.364,350.016 542.402,350.019 542.441,350.019 542.479,350.017 542.518,350.026 542.556,350.038 542.595,350.048 542.633,350.065 542.671,350.079 \n",
+       "  542.71,350.085 542.748,350.089 542.786,350.102 542.825,350.125 542.863,350.152 542.901,350.164 542.939,350.172 542.978,350.19 543.016,350.209 543.054,350.231 \n",
+       "  543.092,350.249 545.155,350.257 545.192,350.234 545.228,350.227 545.265,350.215 545.302,350.195 545.339,350.164 545.376,350.132 545.412,350.113 545.449,350.09 \n",
+       "  545.486,350.075 545.523,350.071 545.559,350.069 545.596,350.058 545.633,350.046 545.669,350.027 545.706,350.022 545.742,350.016 545.779,350.003 545.815,349.997 \n",
+       "  545.852,349.988 545.888,349.968 545.925,349.956 545.961,349.942 545.998,349.928 546.034,349.913 546.071,349.912 546.107,349.914 546.143,349.927 546.18,349.936 \n",
+       "  546.216,349.95 546.252,349.959 546.288,349.965 546.325,349.971 546.361,349.982 546.397,349.98 546.433,349.979 546.469,349.972 546.506,349.975 546.542,349.979 \n",
+       "  546.578,349.984 546.614,349.989 546.65,349.983 546.686,349.966 546.722,349.966 546.758,349.958 546.794,349.96 546.83,349.963 546.866,349.975 546.902,349.989 \n",
+       "  546.938,349.999 546.974,350.008 547.009,350.015 547.045,350.047 547.081,350.066 547.117,350.072 547.153,350.075 547.188,350.078 547.224,350.074 547.26,350.064 \n",
+       "  547.296,350.057 547.331,350.049 547.367,350.037 547.402,350.031 547.438,350.024 547.474,350.022 547.509,350.019 547.545,350.02 547.58,350.02 547.616,350.018 \n",
+       "  547.651,350.012 547.687,350.014 547.722,350.018 547.758,350.012 547.793,349.986 547.829,349.955 547.864,349.921 547.899,349.887 547.935,349.847 547.97,349.808 \n",
+       "  548.005,349.776 548.041,349.759 548.076,349.737 548.111,349.722 548.146,349.702 548.181,349.701 548.217,349.7 548.252,349.675 548.287,349.66 548.322,349.639 \n",
+       "  548.357,349.625 548.392,349.595 548.427,349.575 548.462,349.554 548.497,349.547 548.532,349.527 548.567,349.508 548.602,349.499 548.637,349.489 548.672,349.479 \n",
+       "  548.707,349.457 548.742,349.443 548.777,349.425 548.812,349.413 548.847,349.393 548.881,349.37 548.916,349.362 548.951,349.343 548.986,349.338 549.021,349.327 \n",
+       "  549.055,349.325 549.09,349.327 549.125,349.324 549.159,349.332 549.194,349.34 549.229,349.345 549.263,349.357 549.298,349.357 549.332,349.366 549.367,349.37 \n",
+       "  549.401,349.38 549.436,349.38 549.47,349.381 549.505,349.382 549.539,349.384 549.574,349.372 549.608,349.374 549.643,349.369 549.677,349.359 549.711,349.361 \n",
+       "  549.746,349.369 549.78,349.367 549.814,349.36 549.849,349.358 549.883,349.37 549.917,349.383 549.951,349.393 549.986,349.384 550.02,349.378 550.054,349.375 \n",
+       "  550.088,349.367 550.122,349.358 550.157,349.36 550.191,349.358 550.225,349.354 550.259,349.355 550.293,349.363 550.327,349.371 550.361,349.382 550.395,349.392 \n",
+       "  550.429,349.414 550.463,349.428 550.497,349.439 550.531,349.433 550.565,349.429 550.599,349.417 550.632,349.407 550.666,349.404 550.7,349.39 550.734,349.376 \n",
+       "  550.768,349.365 550.802,349.353 550.835,349.351 550.869,349.349 550.903,349.336 550.937,349.346 550.97,349.361 551.004,349.355 551.038,349.36 551.071,349.343 \n",
+       "  551.105,349.333 551.138,349.326 551.172,349.327 551.206,349.326 551.239,349.323 551.273,349.324 551.306,349.317 551.34,349.326 551.373,349.327 551.407,349.329 \n",
+       "  551.44,349.335 551.474,349.335 551.507,349.328 551.54,349.324 551.574,349.33 551.607,349.328 551.64,349.331 551.674,349.338 551.707,349.336 551.74,349.325 \n",
+       "  551.774,349.313 551.807,349.314 551.84,349.321 551.873,349.324 551.907,349.322 551.94,349.312 551.973,349.304 552.006,349.299 552.039,349.296 552.072,349.291 \n",
+       "  552.105,349.299 552.138,349.317 552.172,349.342 552.205,349.368 552.238,349.39 552.271,349.418 552.304,349.435 552.337,349.45 552.37,349.467 552.403,349.487 \n",
+       "  552.435,349.496 552.468,349.511 552.501,349.522 552.534,349.533 552.567,349.547 552.6,349.565 552.633,349.582 552.666,349.589 552.698,349.595 552.731,349.594 \n",
+       "  552.764,349.59 552.797,349.599 552.829,349.616 552.862,349.636 552.895,349.659 552.927,349.669 552.96,349.677 552.993,349.691 553.025,349.709 553.058,349.723 \n",
+       "  553.091,349.735 553.123,349.743 553.156,349.748 553.188,349.754 553.221,349.754 553.253,349.743 553.286,349.733 553.318,349.726 553.351,349.716 553.383,349.708 \n",
+       "  553.416,349.681 553.448,349.644 553.48,349.614 553.513,349.578 553.545,349.543 553.577,349.519 553.61,349.483 553.642,349.448 553.674,349.419 553.707,349.397 \n",
+       "  553.739,349.373 553.771,349.352 553.803,349.337 553.836,349.314 553.868,349.291 553.9,349.262 553.932,349.239 553.964,349.219 553.997,349.201 554.029,349.195 \n",
+       "  554.061,349.186 554.093,349.185 554.125,349.179 554.157,349.179 554.189,349.153 554.221,349.138 554.253,349.134 554.285,349.13 554.317,349.119 554.349,349.105 \n",
+       "  554.381,349.092 554.413,349.082 554.445,349.08 554.477,349.066 554.508,349.054 554.54,349.045 554.572,349.045 554.604,349.025 554.636,349.006 554.668,348.974 \n",
+       "  554.699,348.958 554.731,348.96 554.763,348.958 554.795,348.95 554.826,348.949 554.858,348.949 554.89,348.963 554.921,348.98 554.953,348.987 554.985,348.985 \n",
+       "  555.016,348.978 555.048,348.96 555.08,348.94 555.111,348.927 555.143,348.894 555.174,348.87 555.206,348.84 555.237,348.814 555.269,348.79 555.3,348.775 \n",
+       "  555.332,348.752 555.363,348.733 555.395,348.709 555.426,348.699 555.457,348.692 555.489,348.684 555.52,348.679 555.552,348.677 555.583,348.674 555.614,348.687 \n",
+       "  555.646,348.693 555.677,348.688 555.708,348.673 555.739,348.664 555.771,348.639 555.802,348.61 555.833,348.585 555.864,348.571 555.896,348.557 555.927,348.541 \n",
+       "  555.958,348.517 555.989,348.495 556.02,348.484 556.051,348.485 556.082,348.49 556.114,348.492 556.145,348.49 556.176,348.474 556.207,348.463 556.238,348.447 \n",
+       "  556.269,348.418 556.3,348.408 556.331,348.4 556.362,348.41 556.393,348.42 556.424,348.416 556.454,348.412 556.485,348.425 556.516,348.443 556.547,348.452 \n",
+       "  556.578,348.467 556.609,348.476 556.64,348.478 556.67,348.48 556.701,348.48 556.732,348.485 556.763,348.498 556.794,348.503 556.824,348.507 556.855,348.501 \n",
+       "  556.886,348.498 556.916,348.51 556.947,348.519 556.978,348.526 557.008,348.542 557.039,348.555 557.07,348.57 557.1,348.578 557.131,348.578 557.162,348.585 \n",
+       "  557.192,348.592 557.223,348.597 557.253,348.601 557.284,348.601 557.314,348.597 557.345,348.593 557.375,348.608 557.406,348.616 557.436,348.625 557.467,348.639 \n",
+       "  557.497,348.662 557.527,348.674 557.558,348.696 557.588,348.715 557.618,348.737 557.649,348.755 557.679,348.763 557.709,348.774 557.74,348.789 557.77,348.804 \n",
+       "  557.8,348.82 557.831,348.837 557.861,348.855 557.891,348.863 557.921,348.884 557.951,348.911 557.982,348.929 558.012,348.947 558.042,348.979 558.072,349.018 \n",
+       "  558.102,349.063 558.132,349.101 558.162,349.133 558.193,349.155 558.223,349.177 558.253,349.192 558.283,349.193 558.313,349.186 558.343,349.176 558.373,349.176 \n",
+       "  558.403,349.175 558.433,349.156 558.463,349.138 558.493,349.118 558.523,349.101 558.553,349.075 558.582,349.052 558.612,349.036 558.642,349.026 558.672,349.015 \n",
+       "  558.702,349.004 558.732,348.996 558.762,348.998 558.791,348.986 558.821,348.977 558.851,348.955 558.881,348.935 558.911,348.906 558.94,348.89 558.97,348.878 \n",
+       "  559,348.86 559.029,348.847 559.059,348.832 559.089,348.816 559.118,348.806 559.148,348.788 559.178,348.777 559.207,348.763 559.237,348.731 559.266,348.701 \n",
+       "  559.296,348.669 559.326,348.643 559.355,348.604 559.385,348.561 559.414,348.516 559.444,348.462 559.473,348.419 559.503,348.384 559.532,348.337 559.562,348.291 \n",
+       "  559.591,348.269 559.62,348.243 559.65,348.211 559.679,348.184 559.709,348.16 559.738,348.144 559.767,348.13 559.797,348.117 559.826,348.101 559.855,348.098 \n",
+       "  559.885,348.091 559.914,348.084 559.943,348.078 559.972,348.071 560.002,348.057 560.031,348.028 560.06,348.007 560.089,348.003 560.119,347.999 560.148,347.996 \n",
+       "  560.177,347.997 560.206,348.001 560.235,348 560.264,348.005 560.293,347.992 560.323,347.992 560.352,347.996 560.381,347.993 560.41,347.978 560.439,347.949 \n",
+       "  560.468,347.919 560.497,347.902 560.526,347.89 560.555,347.883 560.584,347.882 560.613,347.869 560.642,347.861 560.671,347.845 560.7,347.818 560.729,347.795 \n",
+       "  560.757,347.762 560.786,347.741 560.815,347.717 560.844,347.683 560.873,347.65 560.902,347.607 560.931,347.567 560.959,347.546 560.988,347.527 561.017,347.507 \n",
+       "  561.046,347.491 561.075,347.464 561.103,347.433 561.132,347.403 561.161,347.37 561.189,347.33 561.218,347.299 561.247,347.269 561.276,347.24 561.304,347.216 \n",
+       "  561.333,347.195 561.361,347.17 561.39,347.152 561.419,347.129 561.447,347.087 561.476,347.045 561.504,347.013 561.533,346.983 561.561,346.962 561.59,346.953 \n",
+       "  561.619,346.955 561.647,346.947 561.676,346.94 561.704,346.927 561.732,346.912 561.761,346.906 561.789,346.896 561.818,346.891 561.846,346.871 561.875,346.851 \n",
+       "  561.903,346.838 561.931,346.818 561.96,346.786 561.988,346.77 562.016,346.761 562.045,346.75 562.073,346.732 562.101,346.714 562.13,346.694 562.158,346.681 \n",
+       "  562.186,346.672 562.214,346.649 562.243,346.636 562.271,346.63 562.299,346.643 562.327,346.663 562.356,346.674 562.384,346.689 562.412,346.712 562.44,346.721 \n",
+       "  562.468,346.724 562.496,346.738 562.524,346.747 562.552,346.748 562.581,346.742 562.609,346.731 562.637,346.719 562.665,346.72 562.693,346.705 562.721,346.701 \n",
+       "  562.749,346.706 562.777,346.705 562.805,346.708 562.833,346.71 562.861,346.713 562.889,346.712 562.917,346.721 562.945,346.727 562.973,346.729 563,346.736 \n",
+       "  563.028,346.742 563.056,346.743 563.084,346.759 563.112,346.763 563.14,346.77 563.168,346.779 563.195,346.777 563.223,346.785 563.251,346.802 563.279,346.818 \n",
+       "  563.307,346.837 563.334,346.863 563.362,346.897 563.39,346.945 563.418,346.974 563.445,346.997 563.473,347.02 563.501,347.046 563.528,347.074 563.556,347.098 \n",
+       "  563.584,347.125 563.611,347.157 563.639,347.18 563.666,347.203 563.694,347.229 563.722,347.258 563.749,347.279 563.777,347.303 563.804,347.328 563.832,347.343 \n",
+       "  563.859,347.347 563.887,347.344 563.914,347.354 563.942,347.36 563.969,347.363 563.997,347.369 564.024,347.367 564.052,347.359 564.079,347.367 564.107,347.387 \n",
+       "  564.134,347.39 564.162,347.41 564.189,347.429 564.216,347.443 564.244,347.448 564.271,347.464 564.298,347.483 564.326,347.498 564.353,347.52 564.38,347.541 \n",
+       "  564.408,347.566 564.435,347.592 564.462,347.629 564.489,347.663 564.517,347.698 564.544,347.736 564.571,347.765 564.598,347.791 564.626,347.814 564.653,347.836 \n",
+       "  564.68,347.86 564.707,347.872 564.734,347.902 564.761,347.923 564.789,347.947 564.816,347.98 564.843,348.015 564.87,348.061 564.897,348.091 564.924,348.13 \n",
+       "  564.951,348.176 564.978,348.231 565.005,348.276 565.032,348.323 565.059,348.359 565.086,348.399 565.113,348.436 565.14,348.468 565.167,348.503 565.194,348.535 \n",
+       "  565.221,348.574 565.248,348.615 565.275,348.669 565.302,348.703 565.329,348.75 565.356,348.799 565.383,348.833 565.409,348.866 565.436,348.898 565.463,348.924 \n",
+       "  565.49,348.944 565.517,348.951 565.544,348.942 565.57,348.929 565.597,348.917 565.624,348.911 565.651,348.905 565.678,348.896 565.704,348.886 565.731,348.881 \n",
+       "  565.758,348.887 565.784,348.89 565.811,348.88 565.838,348.873 565.865,348.875 565.891,348.861 565.918,348.847 565.944,348.836 565.971,348.822 565.998,348.792 \n",
+       "  566.024,348.775 566.051,348.761 566.078,348.746 566.104,348.736 566.131,348.735 566.157,348.738 566.184,348.734 566.21,348.727 566.237,348.719 566.263,348.709 \n",
+       "  566.29,348.707 566.316,348.709 566.343,348.697 566.369,348.679 566.396,348.66 566.422,348.651 566.449,348.651 566.475,348.654 566.501,348.673 566.528,348.682 \n",
+       "  566.554,348.69 566.581,348.694 566.607,348.706 566.633,348.704 566.66,348.715 566.686,348.717 566.712,348.727 566.739,348.723 566.765,348.739 566.791,348.746 \n",
+       "  566.818,348.775 566.844,348.815 566.87,348.838 566.896,348.862 566.923,348.881 566.949,348.888 566.975,348.89 567.001,348.891 567.027,348.898 567.054,348.901 \n",
+       "  567.08,348.899 567.106,348.904 567.132,348.92 567.158,348.946 567.184,348.97 567.211,349.014 567.237,349.061 567.263,349.096 567.289,349.133 567.315,349.161 \n",
+       "  567.341,349.18 567.367,349.219 567.393,349.264 567.419,349.301 567.445,349.346 567.471,349.378 567.497,349.424 567.523,349.457 567.549,349.503 567.575,349.545 \n",
+       "  567.601,349.586 567.627,349.626 567.653,349.662 567.679,349.71 567.705,349.766 567.731,349.818 567.757,349.882 567.783,349.943 567.808,349.995 567.834,350.046 \n",
+       "  567.86,350.084 567.886,350.11 567.912,350.127 567.938,350.154 567.964,350.184 567.989,350.212 568.015,350.238 568.041,350.255 606.694,350.244 606.708,350.228 \n",
+       "  606.722,350.229 606.736,350.233 606.75,350.229 606.764,350.223 606.778,350.216 606.792,350.218 606.806,350.225 606.82,350.222 606.834,350.203 606.848,350.178 \n",
+       "  606.862,350.152 606.876,350.137 606.89,350.127 606.904,350.133 606.918,350.135 606.932,350.138 606.946,350.143 606.96,350.14 606.974,350.13 606.988,350.125 \n",
+       "  607.002,350.115 607.016,350.108 607.03,350.1 607.044,350.091 607.058,350.076 607.072,350.06 607.086,350.035 607.1,350.025 607.114,350.013 607.128,350.001 \n",
+       "  607.142,349.988 607.156,349.975 607.17,349.964 607.184,349.95 607.198,349.935 607.212,349.926 607.226,349.928 607.24,349.915 607.254,349.912 607.268,349.909 \n",
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+       "  401.162,63.7396 401.513,63.9249 401.863,64.1035 402.211,64.2946 402.557,64.4808 402.901,64.6732 403.243,64.8576 403.583,65.04 403.921,65.222 404.258,65.4093 \n",
+       "  404.593,65.606 404.926,65.7981 405.258,65.9951 405.587,66.1892 405.915,66.3962 406.242,66.5964 406.567,66.8254 406.89,67.0454 407.211,67.2557 407.531,67.4771 \n",
+       "  407.849,67.7129 408.166,67.9384 408.481,68.1653 408.794,68.4082 409.106,68.6507 409.417,68.888 409.726,69.1371 410.033,69.3775 410.339,69.6316 410.644,69.8856 \n",
+       "  410.947,70.1367 411.249,70.3842 411.549,70.6237 411.848,70.8344 412.145,71.0548 412.441,71.2869 412.736,71.5143 413.029,71.7482 413.321,71.9846 413.612,72.2003 \n",
+       "  413.901,72.4171 414.189,72.6465 414.476,72.8654 414.762,73.0704 415.046,73.2589 415.329,73.4608 415.611,73.6738 415.891,73.8825 416.17,74.0887 416.448,74.2951 \n",
+       "  416.725,74.5065 417.001,74.7102 417.275,74.9128 417.548,75.107 417.82,75.3015 418.091,75.4802 418.361,75.6637 418.63,75.8488 418.897,76.0293 419.164,76.1977 \n",
+       "  419.429,76.369 419.693,76.5421 419.956,76.7246 420.218,76.9065 420.479,77.0875 420.739,77.2758 420.998,77.4504 421.256,77.6275 421.513,77.815 421.768,78.0053 \n",
+       "  422.023,78.1854 422.277,78.371 422.529,78.5462 422.781,78.7334 423.032,78.9282 423.282,79.1317 423.53,79.3511 423.778,79.5626 424.025,79.778 424.271,79.9912 \n",
+       "  424.516,80.2132 424.76,80.4297 425.003,80.6438 425.245,80.8587 425.486,81.0737 425.726,81.2867 425.966,81.4853 426.204,81.6918 426.442,81.8768 426.679,82.0661 \n",
+       "  426.915,82.2703 427.15,82.4645 427.384,82.6628 427.617,82.8486 427.849,83.0294 428.081,83.2008 428.312,83.3784 428.542,83.548 428.771,83.7267 428.999,83.9241 \n",
+       "  429.227,84.0924 429.453,84.2628 429.679,84.4339 429.904,84.6027 430.128,84.7606 430.352,84.9152 430.575,85.0691 430.797,85.2178 431.018,85.3632 431.238,85.5189 \n",
+       "  431.458,85.6804 431.677,85.8397 431.895,85.9997 432.112,86.1597 432.329,86.3126 432.545,86.453 432.76,86.6049 432.974,86.7502 433.188,86.8889 433.401,87.0189 \n",
+       "  433.613,87.1272 433.825,87.2418 434.036,87.3596 434.246,87.4733 434.456,87.5898 434.665,87.6989 434.873,87.812 435.08,87.9256 435.287,88.0462 435.493,88.1697 \n",
+       "  435.699,88.2846 435.904,88.4001 436.108,88.5219 436.311,88.6453 436.514,88.7632 436.716,88.8851 436.918,89.0048 437.119,89.108 437.319,89.21 437.519,89.325 \n",
+       "  437.718,89.4187 437.916,89.522 438.114,89.641 438.312,89.7652 438.508,89.8661 438.704,89.976 438.9,90.0946 439.094,90.209 439.289,90.3207 439.482,90.4438 \n",
+       "  439.675,90.5604 439.868,90.6724 440.06,90.7826 440.251,90.9066 440.442,91.0296 440.632,91.1434 440.822,91.264 441.011,91.3846 441.199,91.5143 441.387,91.6268 \n",
+       "  441.574,91.7377 441.761,91.8527 441.948,91.953 442.133,92.0675 442.318,92.1853 442.503,92.3093 442.687,92.443 442.871,92.559 443.054,92.6532 443.237,92.7564 \n",
+       "  443.419,92.8639 443.6,92.9524 443.781,93.0428 443.962,93.148 444.142,93.2438 444.321,93.3315 444.5,93.4305 444.678,93.5143 444.856,93.5913 445.034,93.6491 \n",
+       "  445.211,93.7233 445.387,93.8171 445.563,93.9063 445.739,93.9846 445.914,94.0534 446.089,94.1053 446.263,94.1569 446.436,94.2018 446.609,94.2394 446.782,94.2738 \n",
+       "  446.954,94.3322 447.126,94.3894 447.297,94.4438 447.468,94.4946 447.639,94.5377 447.808,94.5852 447.978,94.6327 448.147,94.6818 448.316,94.7339 448.484,94.7757 \n",
+       "  448.651,94.8047 448.819,94.82 448.985,94.8352 449.152,94.8614 449.318,94.8767 449.483,94.9018 449.648,94.9145 449.813,94.9184 449.977,94.9312 450.141,94.9482 \n",
+       "  450.304,94.9802 450.467,94.9998 450.63,95.0027 450.792,95.0193 450.954,95.0473 451.115,95.0637 451.276,95.0763 451.437,95.0763 451.597,95.0785 451.756,95.0875 \n",
+       "  451.916,95.1043 452.075,95.14 452.233,95.1725 452.391,95.2093 452.549,95.2598 452.706,95.3065 452.863,95.3628 453.02,95.3996 453.176,95.4423 453.332,95.4797 \n",
+       "  453.487,95.5121 453.642,95.5461 453.797,95.5846 453.951,95.6314 454.105,95.6797 454.259,95.7135 454.412,95.7714 454.565,95.8235 454.717,95.8569 454.869,95.8769 \n",
+       "  455.021,95.9093 455.172,95.9451 455.323,95.9731 455.474,95.9978 455.624,96.0353 455.774,96.0784 455.924,96.1109 456.073,96.154 456.222,96.2132 456.371,96.2709 \n",
+       "  456.519,96.3389 456.667,96.3964 456.814,96.4436 456.961,96.4727 457.108,96.4922 457.255,96.5051 457.401,96.5278 457.547,96.5427 457.692,96.5506 457.838,96.5644 \n",
+       "  457.982,96.5749 458.127,96.592 458.271,96.61 458.415,96.6171 458.558,96.6165 458.702,96.6131 458.845,96.6089 458.987,96.6215 459.129,96.6312 459.271,96.6287 \n",
+       "  459.413,96.6366 459.554,96.6307 459.695,96.6133 459.836,96.5994 459.976,96.5803 460.116,96.5462 460.256,96.5255 460.396,96.5077 460.535,96.4956 460.674,96.4765 \n",
+       "  460.812,96.4604 460.951,96.4606 461.088,96.4448 461.226,96.4399 461.363,96.4484 461.501,96.4569 461.637,96.4671 461.774,96.492 461.91,96.5253 462.046,96.5581 \n",
+       "  462.181,96.5857 462.317,96.5937 462.452,96.5982 462.587,96.605 462.721,96.6158 462.855,96.627 462.989,96.6365 463.123,96.6568 463.256,96.6861 463.389,96.7182 \n",
+       "  463.522,96.7579 463.654,96.7886 463.787,96.8283 463.919,96.868 464.05,96.9229 464.182,96.9683 464.313,97.0005 464.444,97.0279 464.574,97.0586 464.705,97.0951 \n",
+       "  464.835,97.1274 464.965,97.1616 465.094,97.2146 465.223,97.2788 465.353,97.3301 465.481,97.381 465.61,97.4322 465.738,97.4783 465.866,97.5323 465.994,97.6046 \n",
+       "  466.121,97.6673 466.248,97.7388 466.375,97.803 466.502,97.873 466.629,97.9346 466.755,97.9899 466.881,98.0658 467.007,98.1498 467.132,98.2271 467.257,98.2884 \n",
+       "  467.382,98.3535 467.507,98.4227 467.631,98.4901 467.756,98.5494 467.88,98.599 468.004,98.6353 468.127,98.6653 468.25,98.6992 468.373,98.7396 468.496,98.7656 \n",
+       "  468.619,98.8083 468.741,98.8403 468.863,98.8801 468.985,98.9178 469.107,98.9546 469.228,98.9883 469.349,99.0235 469.47,99.0743 469.591,99.1473 469.712,99.2311 \n",
+       "  469.832,99.3246 469.952,99.401 470.072,99.4742 470.191,99.5458 470.311,99.6187 470.43,99.681 470.549,99.7226 470.667,99.7536 470.786,99.7871 470.904,99.8272 \n",
+       "  471.022,99.8591 471.14,99.8757 471.258,99.896 471.375,99.9153 471.492,99.9439 471.609,99.9907 471.726,100.032 471.842,100.081 471.959,100.118 472.075,100.161 \n",
+       "  472.191,100.201 472.307,100.241 472.422,100.287 472.537,100.325 472.652,100.37 472.767,100.401 472.882,100.428 472.996,100.458 473.111,100.488 473.225,100.504 \n",
+       "  473.338,100.521 473.452,100.533 473.565,100.536 473.679,100.538 473.792,100.534 473.905,100.53 474.017,100.516 474.13,100.503 474.242,100.506 474.354,100.504 \n",
+       "  474.466,100.497 474.577,100.481 474.689,100.479 474.8,100.487 474.911,100.507 475.022,100.529 475.133,100.557 475.243,100.597 475.353,100.661 475.464,100.726 \n",
+       "  475.573,100.793 475.683,100.868 475.793,100.947 475.902,101.015 476.011,101.094 476.12,101.184 476.229,101.262 476.338,101.344 476.446,101.414 476.554,101.479 \n",
+       "  476.662,101.555 476.77,101.608 476.878,101.67 476.985,101.732 477.093,101.785 477.2,101.831 477.307,101.885 477.414,101.941 477.52,101.993 477.627,102.034 \n",
+       "  477.733,102.078 477.839,102.129 477.945,102.18 478.051,102.248 478.156,102.311 478.261,102.38 478.367,102.441 478.472,102.503 478.577,102.553 478.681,102.596 \n",
+       "  478.786,102.646 478.89,102.688 478.994,102.718 479.098,102.771 479.202,102.847 479.306,102.928 479.409,103.009 479.513,103.084 479.616,103.167 479.719,103.255 \n",
+       "  479.822,103.333 479.924,103.421 480.027,103.523 480.129,103.635 480.231,103.751 480.333,103.866 480.435,103.975 480.537,104.077 480.638,104.176 480.74,104.296 \n",
+       "  480.841,104.421 480.942,104.549 481.043,104.667 481.143,104.791 481.244,104.923 481.344,105.058 481.445,105.196 481.545,105.318 481.645,105.427 481.744,105.537 \n",
+       "  481.844,105.644 481.943,105.759 482.043,105.867 482.142,105.974 482.241,106.081 482.34,106.183 482.438,106.275 482.537,106.368 482.635,106.467 482.734,106.546 \n",
+       "  482.832,106.619 482.93,106.682 483.027,106.738 483.125,106.806 483.223,106.886 483.32,106.969 483.417,107.065 483.514,107.166 483.611,107.276 483.708,107.389 \n",
+       "  483.804,107.509 483.901,107.62 483.997,107.722 484.093,107.83 484.189,107.915 484.285,108.002 484.381,108.085 484.476,108.17 484.572,108.254 484.667,108.332 \n",
+       "  484.762,108.415 484.857,108.506 484.952,108.601 485.047,108.686 485.142,108.795 485.236,108.913 485.33,109.01 485.425,109.097 485.519,109.189 485.612,109.263 \n",
+       "  485.706,109.342 485.8,109.414 485.893,109.487 485.987,109.579 486.08,109.678 486.173,109.789 486.266,109.903 486.359,110.025 486.451,110.158 486.544,110.282 \n",
+       "  486.636,110.402 486.729,110.512 486.821,110.619 486.913,110.737 487.005,110.855 487.096,110.968 487.188,111.099 487.279,111.226 487.371,111.359 487.462,111.486 \n",
+       "  487.553,111.615 487.644,111.749 487.735,111.88 487.826,112.009 487.916,112.146 488.007,112.266 488.097,112.378 488.187,112.493 488.277,112.608 488.367,112.711 \n",
+       "  488.457,112.817 488.547,112.92 488.636,113.039 488.725,113.172 488.815,113.31 488.904,113.457 488.993,113.589 489.082,113.725 489.171,113.857 489.259,113.991 \n",
+       "  489.348,114.127 489.436,114.275 489.525,114.419 489.613,114.568 489.701,114.715 489.789,114.88 489.877,115.05 489.964,115.23 490.052,115.392 490.139,115.536 \n",
+       "  490.227,115.666 490.314,115.806 490.401,115.94 490.488,116.08 490.575,116.229 490.662,116.37 490.748,116.525 490.835,116.675 490.921,116.824 491.008,116.954 \n",
+       "  491.094,117.085 491.18,117.204 491.266,117.326 491.352,117.446 491.437,117.563 491.523,117.672 491.608,117.775 491.694,117.879 491.779,117.979 491.864,118.076 \n",
+       "  491.949,118.174 492.034,118.267 492.119,118.347 492.203,118.434 492.288,118.522 492.372,118.611 492.457,118.699 492.541,118.767 492.625,118.849 492.709,118.957 \n",
+       "  492.793,119.069 492.877,119.172 492.96,119.268 493.044,119.372 493.127,119.476 493.211,119.599 493.294,119.715 493.377,119.829 493.46,119.946 493.543,120.055 \n",
+       "  493.626,120.158 493.709,120.278 493.791,120.401 493.874,120.531 493.956,120.666 494.038,120.786 494.121,120.913 494.203,121.034 494.285,121.154 494.366,121.277 \n",
+       "  494.448,121.411 494.53,121.547 494.611,121.684 494.693,121.813 494.774,121.945 494.855,122.089 494.936,122.228 495.018,122.36 495.098,122.516 495.179,122.664 \n",
+       "  495.26,122.81 495.341,122.943 495.421,123.069 495.501,123.195 495.582,123.318 495.662,123.451 495.742,123.57 495.822,123.682 495.902,123.797 495.982,123.905 \n",
+       "  496.062,124.017 496.141,124.143 496.221,124.261 496.3,124.382 496.379,124.5 496.459,124.625 496.538,124.741 496.617,124.85 496.696,124.964 496.774,125.072 \n",
+       "  496.853,125.165 496.932,125.248 497.01,125.348 497.089,125.444 497.167,125.532 497.245,125.611 497.323,125.707 497.401,125.823 497.479,125.934 497.557,126.049 \n",
+       "  497.635,126.159 497.713,126.273 497.79,126.389 497.868,126.492 497.945,126.606 498.022,126.724 498.1,126.828 498.177,126.935 498.254,127.036 498.331,127.142 \n",
+       "  498.408,127.249 498.484,127.357 498.561,127.471 498.637,127.591 498.714,127.703 498.79,127.81 498.867,127.925 498.943,128.034 499.019,128.145 499.095,128.26 \n",
+       "  499.171,128.388 499.247,128.502 499.322,128.617 499.398,128.728 499.473,128.831 499.549,128.921 499.624,129.019 499.7,129.121 499.775,129.219 499.85,129.316 \n",
+       "  499.925,129.409 500,129.496 500.075,129.602 500.149,129.697 500.224,129.794 500.299,129.901 500.373,130.013 500.448,130.128 500.522,130.247 500.596,130.366 \n",
+       "  500.67,130.489 500.744,130.621 500.818,130.74 500.892,130.853 500.966,130.953 501.04,131.047 501.113,131.128 501.187,131.216 501.26,131.294 501.334,131.38 \n",
+       "  501.407,131.486 501.48,131.597 501.553,131.697 501.626,131.798 501.699,131.895 501.772,132.001 501.845,132.121 501.918,132.244 501.99,132.376 502.063,132.505 \n",
+       "  502.135,132.64 502.208,132.779 502.28,132.921 502.352,133.052 502.424,133.174 502.497,133.3 502.569,133.417 502.64,133.532 502.712,133.648 502.784,133.752 \n",
+       "  502.856,133.837 502.927,133.91 502.999,133.993 503.07,134.08 503.141,134.16 503.213,134.238 503.284,134.328 503.355,134.411 503.426,134.477 503.497,134.551 \n",
+       "  503.568,134.634 503.638,134.721 503.709,134.803 503.78,134.9 503.85,134.988 503.921,135.064 503.991,135.136 504.061,135.211 504.132,135.283 504.202,135.362 \n",
+       "  504.272,135.441 504.342,135.523 504.412,135.599 504.482,135.675 504.551,135.736 504.621,135.811 504.691,135.893 504.76,135.985 504.83,136.078 504.899,136.175 \n",
+       "  504.968,136.278 505.038,136.363 505.107,136.461 505.176,136.544 505.245,136.603 505.314,136.665 505.383,136.73 505.452,136.809 505.52,136.89 505.589,136.965 \n",
+       "  505.658,137.05 505.726,137.127 505.794,137.206 505.863,137.281 505.931,137.348 505.999,137.408 506.067,137.471 506.135,137.541 506.203,137.628 506.271,137.712 \n",
+       "  506.339,137.786 506.407,137.861 506.475,137.943 506.542,138.01 506.61,138.077 506.677,138.147 506.745,138.219 506.812,138.302 506.879,138.369 506.947,138.445 \n",
+       "  507.014,138.524 507.081,138.6 507.148,138.667 507.215,138.722 507.281,138.765 507.348,138.805 507.415,138.863 507.482,138.916 507.548,138.957 507.615,138.998 \n",
+       "  507.681,139.031 507.747,139.051 507.814,139.072 507.88,139.101 507.946,139.133 508.012,139.162 508.078,139.185 508.144,139.215 508.21,139.252 508.276,139.288 \n",
+       "  508.342,139.326 508.407,139.356 508.473,139.371 508.538,139.398 508.604,139.449 508.669,139.497 508.735,139.542 508.8,139.584 508.865,139.621 508.93,139.69 \n",
+       "  508.995,139.773 509.06,139.849 509.125,139.938 509.19,140.033 509.255,140.128 509.32,140.219 509.384,140.3 509.449,140.386 509.514,140.468 509.578,140.553 \n",
+       "  509.642,140.645 509.707,140.722 509.771,140.8 509.835,140.868 509.899,140.935 509.964,141.01 510.028,141.087 510.092,141.167 510.155,141.253 510.219,141.341 \n",
+       "  510.283,141.417 510.347,141.502 510.41,141.587 510.474,141.667 510.537,141.749 510.601,141.83 510.664,141.918 510.728,142.007 510.791,142.094 510.854,142.178 \n",
+       "  510.917,142.263 510.98,142.356 511.043,142.45 511.106,142.529 511.169,142.605 511.232,142.675 511.295,142.736 511.357,142.795 511.42,142.861 511.483,142.921 \n",
+       "  511.545,142.982 511.608,143.03 511.67,143.079 511.732,143.108 511.795,143.137 511.857,143.171 511.919,143.207 511.981,143.248 512.043,143.314 512.105,143.367 \n",
+       "  512.167,143.419 512.229,143.455 512.291,143.477 512.353,143.504 512.414,143.547 512.476,143.594 512.537,143.647 512.599,143.704 512.66,143.771 512.722,143.85 \n",
+       "  512.783,143.936 512.844,144.02 512.905,144.098 512.967,144.179 513.028,144.269 513.089,144.356 513.15,144.435 513.211,144.52 513.271,144.593 513.332,144.669 \n",
+       "  513.393,144.756 513.454,144.851 513.514,144.939 513.575,145.007 513.635,145.074 513.696,145.149 513.756,145.233 513.817,145.321 513.877,145.421 513.937,145.52 \n",
+       "  513.997,145.624 514.057,145.714 514.117,145.813 514.177,145.908 514.237,145.995 514.297,146.091 514.357,146.204 514.417,146.297 514.476,146.401 514.536,146.5 \n",
+       "  514.596,146.599 514.655,146.7 514.715,146.806 514.774,146.912 514.834,147.025 514.893,147.135 514.952,147.242 515.011,147.349 515.071,147.46 515.13,147.577 \n",
+       "  515.189,147.69 515.248,147.789 515.307,147.878 515.366,147.966 515.424,148.053 515.483,148.135 515.542,148.226 515.601,148.312 515.659,148.392 515.718,148.478 \n",
+       "  515.776,148.567 515.835,148.658 515.893,148.75 515.951,148.845 516.01,148.96 516.068,149.08 516.126,149.201 516.184,149.327 516.242,149.445 516.3,149.569 \n",
+       "  516.358,149.69 516.416,149.813 516.474,149.961 516.532,150.108 516.59,150.253 516.647,150.403 516.705,150.558 516.763,150.71 516.82,150.864 516.878,151.013 \n",
+       "  516.935,151.155 516.993,151.283 517.05,151.42 517.107,151.566 517.165,151.695 517.222,151.818 517.279,151.945 517.336,152.074 517.393,152.192 517.45,152.308 \n",
+       "  517.507,152.434 517.564,152.554 517.621,152.672 517.678,152.784 517.734,152.895 517.791,153.017 517.848,153.135 517.904,153.265 517.961,153.39 518.017,153.525 \n",
+       "  518.074,153.673 518.13,153.813 518.186,153.955 518.243,154.103 518.299,154.245 518.355,154.379 518.411,154.505 518.467,154.638 518.523,154.754 518.579,154.877 \n",
+       "  518.635,155.005 518.691,155.132 518.747,155.265 518.803,155.393 518.859,155.503 518.914,155.616 518.97,155.728 519.026,155.833 519.081,155.951 519.137,156.06 \n",
+       "  519.192,156.15 519.247,156.247 519.303,156.333 519.358,156.402 519.413,156.457 519.469,156.525 519.524,156.595 519.579,156.663 519.634,156.729 519.689,156.779 \n",
+       "  519.744,156.827 519.799,156.879 519.854,156.943 519.909,157.026 519.963,157.107 520.018,157.189 520.073,157.272 520.128,157.339 520.182,157.402 520.237,157.471 \n",
+       "  520.291,157.534 520.346,157.589 520.4,157.652 520.454,157.712 520.509,157.782 520.563,157.842 520.617,157.899 520.671,157.98 520.726,158.068 520.78,158.16 \n",
+       "  520.834,158.248 520.888,158.344 520.942,158.447 520.996,158.566 521.049,158.707 521.103,158.862 521.157,159.03 521.211,159.201 521.264,159.381 521.318,159.546 \n",
+       "  521.372,159.71 521.425,159.894 521.479,160.073 521.532,160.242 521.586,160.405 521.639,160.548 521.692,160.695 521.746,160.845 521.799,160.977 521.852,161.094 \n",
+       "  521.905,161.216 521.958,161.34 522.011,161.47 522.064,161.623 522.117,161.785 522.17,161.949 522.223,162.108 522.276,162.285 522.329,162.451 522.382,162.632 \n",
+       "  522.434,162.812 522.487,162.967 522.54,163.122 522.592,163.279 522.645,163.427 522.697,163.564 522.75,163.684 522.802,163.81 522.854,163.94 522.907,164.077 \n",
+       "  522.959,164.218 523.011,164.354 523.063,164.495 523.116,164.626 523.168,164.772 523.22,164.93 523.272,165.103 523.324,165.285 523.376,165.449 523.428,165.625 \n",
+       "  523.479,165.807 523.531,165.973 523.583,166.132 523.635,166.284 523.686,166.443 523.738,166.605 523.79,166.778 523.841,166.958 523.893,167.134 523.944,167.306 \n",
+       "  523.996,167.482 524.047,167.655 524.098,167.822 524.15,168.007 524.201,168.194 524.252,168.398 524.303,168.6 524.354,168.805 524.406,169.005 524.457,169.195 \n",
+       "  524.508,169.377 524.559,169.568 524.61,169.75 524.661,169.93 524.711,170.107 524.762,170.283 524.813,170.454 524.864,170.628 524.914,170.797 524.965,170.949 \n",
+       "  525.016,171.11 525.066,171.265 525.117,171.417 525.167,171.57 525.218,171.72 525.268,171.877 525.319,172.017 525.369,172.155 525.419,172.298 525.469,172.464 \n",
+       "  525.52,172.627 525.57,172.802 525.62,172.974 525.67,173.14 525.72,173.325 525.77,173.5 525.82,173.676 525.87,173.853 525.92,174.025 525.97,174.202 \n",
+       "  526.02,174.387 526.069,174.555 526.119,174.724 526.169,174.883 526.219,175.058 526.268,175.243 526.318,175.424 526.367,175.622 526.417,175.795 526.466,175.966 \n",
+       "  526.516,176.131 526.565,176.287 526.615,176.442 526.664,176.617 526.713,176.776 526.762,176.936 526.812,177.089 526.861,177.24 526.91,177.394 526.959,177.539 \n",
+       "  527.008,177.664 527.057,177.79 527.106,177.908 527.155,178.028 527.204,178.152 527.253,178.292 527.302,178.428 527.351,178.571 527.399,178.713 527.448,178.856 \n",
+       "  527.497,179.002 527.545,179.147 527.594,179.298 527.643,179.444 527.691,179.595 527.74,179.745 527.788,179.903 527.836,180.053 527.885,180.196 527.933,180.349 \n",
+       "  527.982,180.504 528.03,180.663 528.078,180.825 528.126,180.986 528.174,181.145 528.223,181.299 528.271,181.452 528.319,181.625 528.367,181.79 528.415,181.975 \n",
+       "  528.463,182.176 528.511,182.377 528.559,182.56 528.606,182.742 528.654,182.924 528.702,183.105 528.75,183.28 528.797,183.459 528.845,183.638 528.893,183.818 \n",
+       "  528.94,183.986 528.988,184.162 529.035,184.337 529.083,184.517 529.13,184.696 529.178,184.889 529.225,185.081 529.272,185.276 529.32,185.446 529.367,185.622 \n",
+       "  529.414,185.794 529.462,185.978 529.509,186.166 529.556,186.34 529.603,186.511 529.65,186.669 529.697,186.832 529.744,186.992 529.791,187.155 529.838,187.303 \n",
+       "  529.885,187.435 529.932,187.565 529.979,187.693 530.025,187.817 530.072,187.925 530.119,188.044 530.166,188.179 530.212,188.321 530.259,188.471 530.305,188.617 \n",
+       "  530.352,188.758 530.398,188.92 530.445,189.089 530.491,189.248 530.538,189.392 530.584,189.534 530.631,189.671 530.677,189.813 530.723,189.941 530.769,190.083 \n",
+       "  530.816,190.244 530.862,190.41 530.908,190.583 530.954,190.759 531,190.943 531.046,191.121 531.092,191.292 531.138,191.45 531.184,191.589 531.23,191.703 \n",
+       "  531.276,191.841 531.322,191.978 531.368,192.104 531.413,192.227 531.459,192.345 531.505,192.452 531.551,192.548 531.596,192.639 531.642,192.74 531.687,192.839 \n",
+       "  531.733,192.939 531.779,193.041 531.824,193.143 531.87,193.244 531.915,193.346 531.96,193.462 532.006,193.569 532.051,193.681 532.096,193.808 532.142,193.95 \n",
+       "  532.187,194.079 532.232,194.208 532.277,194.326 532.322,194.448 532.367,194.569 532.413,194.698 532.458,194.811 532.503,194.936 532.548,195.058 532.593,195.192 \n",
+       "  532.637,195.324 532.682,195.448 532.727,195.567 532.772,195.68 532.817,195.814 532.862,195.944 532.906,196.064 532.951,196.195 532.996,196.33 533.04,196.475 \n",
+       "  533.085,196.605 533.129,196.746 533.174,196.909 533.218,197.064 533.263,197.214 533.307,197.359 533.352,197.492 533.396,197.625 533.441,197.766 533.485,197.903 \n",
+       "  533.529,198.036 533.573,198.158 533.618,198.286 533.662,198.418 533.706,198.535 533.75,198.653 533.794,198.768 533.838,198.891 533.882,199.019 533.926,199.137 \n",
+       "  533.97,199.257 534.014,199.363 534.058,199.463 534.102,199.561 534.146,199.673 534.19,199.787 534.234,199.879 534.277,199.991 534.321,200.104 534.365,200.216 \n",
+       "  534.409,200.321 534.452,200.431 534.496,200.544 534.54,200.661 534.583,200.772 534.627,200.884 534.67,200.998 534.714,201.113 534.757,201.228 534.8,201.349 \n",
+       "  534.844,201.463 534.887,201.566 534.931,201.677 534.974,201.801 535.017,201.921 535.06,202.049 535.104,202.171 535.147,202.303 535.19,202.445 535.233,202.607 \n",
+       "  535.276,202.751 535.319,202.887 535.362,203.034 535.405,203.169 535.448,203.319 535.491,203.461 535.534,203.582 535.577,203.715 535.62,203.851 535.663,203.98 \n",
+       "  535.706,204.104 535.748,204.227 535.791,204.345 535.834,204.461 535.876,204.571 535.919,204.679 535.962,204.795 536.004,204.918 536.047,205.056 536.089,205.19 \n",
+       "  536.132,205.315 536.175,205.441 536.217,205.562 536.259,205.682 536.302,205.795 536.344,205.888 536.387,205.995 536.429,206.087 536.471,206.197 536.513,206.316 \n",
+       "  536.556,206.424 536.598,206.547 536.64,206.662 536.682,206.777 536.724,206.905 536.766,207.023 536.809,207.139 536.851,207.281 536.893,207.426 536.935,207.574 \n",
+       "  536.977,207.717 537.018,207.857 537.06,207.975 537.102,208.092 537.144,208.213 537.186,208.345 537.228,208.482 537.27,208.605 537.311,208.723 537.353,208.859 \n",
+       "  537.395,208.981 537.436,209.089 537.478,209.191 537.52,209.297 537.561,209.398 537.603,209.498 537.644,209.607 537.686,209.726 537.727,209.846 537.769,209.964 \n",
+       "  537.81,210.069 537.851,210.162 537.893,210.259 537.934,210.353 537.975,210.442 538.017,210.526 538.058,210.62 538.099,210.708 538.14,210.806 538.182,210.919 \n",
+       "  538.223,211.023 538.264,211.127 538.305,211.239 538.346,211.349 538.387,211.458 538.428,211.575 538.469,211.697 538.51,211.818 538.551,211.929 538.592,212.039 \n",
+       "  538.633,212.16 538.674,212.285 538.715,212.426 538.755,212.564 538.796,212.701 538.837,212.837 538.878,212.978 538.918,213.109 538.959,213.246 539,213.398 \n",
+       "  539.04,213.559 539.081,213.723 539.121,213.886 539.162,214.037 539.202,214.192 539.243,214.35 539.283,214.5 539.324,214.648 539.364,214.795 539.405,214.938 \n",
+       "  539.445,215.063 539.485,215.177 539.526,215.299 539.566,215.426 539.606,215.543 539.647,215.666 539.687,215.781 539.727,215.9 539.767,216.013 539.807,216.136 \n",
+       "  539.847,216.255 539.887,216.369 539.928,216.48 539.968,216.585 540.008,216.71 540.048,216.828 540.088,216.953 540.127,217.073 540.167,217.176 540.207,217.29 \n",
+       "  540.247,217.387 540.287,217.481 540.327,217.558 540.367,217.642 540.406,217.735 540.446,217.84 540.486,217.931 540.526,218.037 540.565,218.144 540.605,218.225 \n",
+       "  540.644,218.322 540.684,218.412 540.724,218.501 540.763,218.577 540.803,218.668 540.842,218.751 540.882,218.827 540.921,218.917 540.961,218.99 541,219.049 \n",
+       "  541.039,219.106 541.079,219.168 541.118,219.229 541.157,219.295 541.197,219.352 541.236,219.409 541.275,219.459 541.314,219.51 541.353,219.573 541.393,219.641 \n",
+       "  541.432,219.696 541.471,219.749 541.51,219.79 541.549,219.824 541.588,219.864 541.627,219.892 541.666,219.918 541.705,219.94 541.744,219.969 541.783,219.999 \n",
+       "  541.822,220.027 541.861,220.06 541.899,220.089 541.938,220.104 541.977,220.104 542.016,220.112 542.055,220.134 542.093,220.153 542.132,220.159 542.171,220.152 \n",
+       "  542.209,220.137 542.248,220.114 542.287,220.085 542.325,220.062 542.364,220.042 542.402,220.022 542.441,220.033 542.479,220.045 542.518,220.051 542.556,220.057 \n",
+       "  542.595,220.068 542.633,220.091 542.671,220.11 542.71,220.143 542.748,220.173 542.786,220.192 542.825,220.223 542.863,220.246 542.901,220.279 542.939,220.312 \n",
+       "  542.978,220.352 543.016,220.406 543.054,220.459 543.092,220.513 543.13,220.571 543.168,220.621 543.206,220.653 543.244,220.663 543.282,220.679 543.32,220.698 \n",
+       "  543.358,220.744 543.396,220.776 543.434,220.805 543.472,220.839 543.51,220.876 543.548,220.917 543.586,220.968 543.623,221.024 543.661,221.07 543.699,221.114 \n",
+       "  543.737,221.161 543.774,221.212 543.812,221.259 543.85,221.299 543.887,221.319 543.925,221.341 543.963,221.366 544,221.402 544.038,221.428 544.075,221.455 \n",
+       "  544.113,221.492 544.15,221.52 544.188,221.55 544.225,221.576 544.263,221.602 544.3,221.618 544.338,221.64 544.375,221.665 544.412,221.692 544.45,221.71 \n",
+       "  544.487,221.735 544.524,221.768 544.561,221.809 544.599,221.841 544.636,221.871 544.673,221.914 544.71,221.952 544.747,222.01 544.785,222.058 544.822,222.094 \n",
+       "  544.859,222.137 544.896,222.178 544.933,222.229 544.97,222.259 545.007,222.276 545.044,222.29 545.081,222.279 545.118,222.262 545.155,222.237 545.192,222.22 \n",
+       "  545.228,222.199 545.265,222.181 545.302,222.189 545.339,222.208 545.376,222.236 545.412,222.264 545.449,222.278 545.486,222.297 545.523,222.301 545.559,222.309 \n",
+       "  545.596,222.319 545.633,222.328 545.669,222.33 545.706,222.323 545.742,222.318 545.779,222.324 545.815,222.347 545.852,222.352 545.888,222.346 545.925,222.342 \n",
+       "  545.961,222.36 545.998,222.387 546.034,222.441 546.071,222.496 546.107,222.547 546.143,222.601 546.18,222.66 546.216,222.732 546.252,222.789 546.288,222.84 \n",
+       "  546.325,222.892 546.361,222.962 546.397,223.033 546.433,223.106 546.469,223.158 546.506,223.196 546.542,223.229 546.578,223.29 546.614,223.344 546.65,223.41 \n",
+       "  546.686,223.462 546.722,223.515 546.758,223.571 546.794,223.623 546.83,223.694 546.866,223.754 546.902,223.818 546.938,223.877 546.974,223.936 547.009,223.998 \n",
+       "  547.045,224.048 547.081,224.076 547.117,224.095 547.153,224.11 547.188,224.135 547.224,224.16 547.26,224.197 547.296,224.221 547.331,224.255 547.367,224.283 \n",
+       "  547.402,224.31 547.438,224.335 547.474,224.338 547.509,224.325 547.545,224.308 547.58,224.303 547.616,224.31 547.651,224.321 547.687,224.35 547.722,224.378 \n",
+       "  547.758,224.407 547.793,224.441 547.829,224.491 547.864,224.552 547.899,224.592 547.935,224.637 547.97,224.709 548.005,224.763 548.041,224.826 548.076,224.899 \n",
+       "  548.111,224.976 548.146,225.04 548.181,225.111 548.217,225.176 548.252,225.25 548.287,225.322 548.322,225.38 548.357,225.432 548.392,225.496 548.427,225.556 \n",
+       "  548.462,225.605 548.497,225.653 548.532,225.695 548.567,225.723 548.602,225.765 548.637,225.812 548.672,225.856 548.707,225.902 548.742,225.96 548.777,226.01 \n",
+       "  548.812,226.065 548.847,226.103 548.881,226.134 548.916,226.131 548.951,226.129 548.986,226.128 549.021,226.123 549.055,226.128 549.09,226.139 549.125,226.139 \n",
+       "  549.159,226.133 549.194,226.111 549.229,226.086 549.263,226.049 549.298,226.009 549.332,225.952 549.367,225.89 549.401,225.838 549.436,225.793 549.47,225.759 \n",
+       "  549.505,225.733 549.539,225.724 549.574,225.711 549.608,225.712 549.643,225.73 549.677,225.757 549.711,225.778 549.746,225.824 549.78,225.895 549.814,225.963 \n",
+       "  549.849,226.026 549.883,226.089 549.917,226.158 549.951,226.225 549.986,226.288 550.02,226.362 550.054,226.44 550.088,226.514 550.122,226.587 550.157,226.658 \n",
+       "  550.191,226.688 550.225,226.718 550.259,226.732 550.293,226.755 550.327,226.774 550.361,226.795 550.395,226.823 550.429,226.863 550.463,226.9 550.497,226.919 \n",
+       "  550.531,226.939 550.565,226.972 550.599,227.016 550.632,227.057 550.666,227.099 550.7,227.141 550.734,227.192 550.768,227.234 550.802,227.308 550.835,227.394 \n",
+       "  550.869,227.494 550.903,227.584 550.937,227.667 550.97,227.723 551.004,227.788 551.038,227.867 551.071,227.949 551.105,228.037 551.138,228.127 551.172,228.203 \n",
+       "  551.206,228.273 551.239,228.325 551.273,228.378 551.306,228.44 551.34,228.503 551.373,228.566 551.407,228.626 551.44,228.69 551.474,228.733 551.507,228.792 \n",
+       "  551.54,228.857 551.574,228.924 551.607,228.985 551.64,229.051 551.674,229.115 551.707,229.179 551.74,229.243 551.774,229.314 551.807,229.394 551.84,229.471 \n",
+       "  551.873,229.543 551.907,229.619 551.94,229.682 551.973,229.762 552.006,229.843 552.039,229.92 552.072,230.01 552.105,230.083 552.138,230.16 552.172,230.232 \n",
+       "  552.205,230.307 552.238,230.374 552.271,230.432 552.304,230.484 552.337,230.515 552.37,230.561 552.403,230.617 552.435,230.676 552.468,230.732 552.501,230.795 \n",
+       "  552.534,230.859 552.567,230.936 552.6,231.042 552.633,231.14 552.666,231.255 552.698,231.362 552.731,231.486 552.764,231.606 552.797,231.729 552.829,231.851 \n",
+       "  552.862,231.96 552.895,232.081 552.927,232.216 552.96,232.355 552.993,232.49 553.025,232.608 553.058,232.734 553.091,232.853 553.123,232.977 553.156,233.103 \n",
+       "  553.188,233.217 553.221,233.322 553.253,233.423 553.286,233.554 553.318,233.706 553.351,233.865 553.383,234.031 553.416,234.197 553.448,234.358 553.48,234.501 \n",
+       "  553.513,234.644 553.545,234.796 553.577,234.94 553.61,235.064 553.642,235.184 553.674,235.324 553.707,235.467 553.739,235.604 553.771,235.721 553.803,235.833 \n",
+       "  553.836,235.948 553.868,236.065 553.9,236.164 553.932,236.264 553.964,236.374 553.997,236.501 554.029,236.629 554.061,236.751 554.093,236.877 554.125,237 \n",
+       "  554.157,237.116 554.189,237.23 554.221,237.347 554.253,237.467 554.285,237.584 554.317,237.698 554.349,237.82 554.381,237.943 554.413,238.066 554.445,238.193 \n",
+       "  554.477,238.33 554.508,238.463 554.54,238.593 554.572,238.756 554.604,238.915 554.636,239.081 554.668,239.247 554.699,239.418 554.731,239.595 554.763,239.753 \n",
+       "  554.795,239.924 554.826,240.091 554.858,240.259 554.89,240.412 554.921,240.564 554.953,240.704 554.985,240.833 555.016,240.966 555.048,241.096 555.08,241.228 \n",
+       "  555.111,241.367 555.143,241.482 555.174,241.601 555.206,241.746 555.237,241.891 555.269,242.05 555.3,242.204 555.332,242.348 555.363,242.502 555.395,242.642 \n",
+       "  555.426,242.784 555.457,242.923 555.489,243.074 555.52,243.22 555.552,243.367 555.583,243.521 555.614,243.662 555.646,243.811 555.677,243.964 555.708,244.115 \n",
+       "  555.739,244.256 555.771,244.4 555.802,244.548 555.833,244.69 555.864,244.829 555.896,244.986 555.927,245.119 555.958,245.246 555.989,245.353 556.02,245.461 \n",
+       "  556.051,245.593 556.082,245.72 556.114,245.849 556.145,245.979 556.176,246.125 556.207,246.289 556.238,246.462 556.269,246.64 556.3,246.812 556.331,246.977 \n",
+       "  556.362,247.162 556.393,247.357 556.424,247.563 556.454,247.766 556.485,247.979 556.516,248.191 556.547,248.391 556.578,248.566 556.609,248.731 556.64,248.874 \n",
+       "  556.67,249.008 556.701,249.153 556.732,249.297 556.763,249.438 556.794,249.572 556.824,249.693 556.855,249.826 556.886,249.963 556.916,250.102 556.947,250.258 \n",
+       "  556.978,250.405 557.008,250.548 557.039,250.685 557.07,250.846 557.1,251.02 557.131,251.179 557.162,251.333 557.192,251.483 557.223,251.643 557.253,251.814 \n",
+       "  557.284,251.973 557.314,252.144 557.345,252.321 557.375,252.499 557.406,252.679 557.436,252.849 557.467,253.005 557.497,253.157 557.527,253.304 557.558,253.449 \n",
+       "  557.588,253.579 557.618,253.714 557.649,253.86 557.679,254.025 557.709,254.195 557.74,254.369 557.77,254.546 557.8,254.683 557.831,254.817 557.861,254.973 \n",
+       "  557.891,255.155 557.921,255.339 557.951,255.505 557.982,255.668 558.012,255.811 558.042,255.956 558.072,256.101 558.102,256.238 558.132,256.369 558.162,256.497 \n",
+       "  558.193,256.637 558.223,256.792 558.253,256.925 558.283,257.055 558.313,257.185 558.343,257.298 558.373,257.419 558.403,257.537 558.433,257.645 558.463,257.732 \n",
+       "  558.493,257.832 558.523,257.93 558.553,258.022 558.582,258.111 558.612,258.193 558.642,258.282 558.672,258.367 558.702,258.453 558.732,258.545 558.762,258.626 \n",
+       "  558.791,258.705 558.821,258.786 558.851,258.863 558.881,258.956 558.911,259.05 558.94,259.139 558.97,259.231 559,259.306 559.029,259.38 559.059,259.478 \n",
+       "  559.089,259.584 559.118,259.694 559.148,259.797 559.178,259.889 559.207,259.974 559.237,260.05 559.266,260.118 559.296,260.192 559.326,260.267 559.355,260.335 \n",
+       "  559.385,260.39 559.414,260.457 559.444,260.506 559.473,260.56 559.503,260.619 559.532,260.682 559.562,260.757 559.591,260.822 559.62,260.872 559.65,260.924 \n",
+       "  559.679,260.981 559.709,261.024 559.738,261.078 559.767,261.14 559.797,261.193 559.826,261.236 559.855,261.278 559.885,261.32 559.914,261.378 559.943,261.44 \n",
+       "  559.972,261.526 560.002,261.613 560.031,261.725 560.06,261.844 560.089,261.975 560.119,262.105 560.148,262.223 560.177,262.353 560.206,262.49 560.235,262.621 \n",
+       "  560.264,262.752 560.293,262.876 560.323,262.976 560.352,263.07 560.381,263.159 560.41,263.254 560.439,263.36 560.468,263.463 560.497,263.585 560.526,263.702 \n",
+       "  560.555,263.818 560.584,263.948 560.613,264.075 560.642,264.2 560.671,264.316 560.7,264.406 560.729,264.502 560.757,264.585 560.786,264.669 560.815,264.75 \n",
+       "  560.844,264.835 560.873,264.931 560.902,265.028 560.931,265.137 560.959,265.222 560.988,265.294 561.017,265.37 561.046,265.436 561.075,265.51 561.103,265.587 \n",
+       "  561.132,265.649 561.161,265.706 561.189,265.746 561.218,265.786 561.247,265.834 561.276,265.876 561.304,265.905 561.333,265.946 561.361,266 561.39,266.072 \n",
+       "  561.419,266.144 561.447,266.198 561.476,266.232 561.504,266.282 561.533,266.332 561.561,266.378 561.59,266.434 561.619,266.482 561.647,266.532 561.676,266.582 \n",
+       "  561.704,266.639 561.732,266.711 561.761,266.789 561.789,266.871 561.818,266.944 561.846,267.016 561.875,267.069 561.903,267.127 561.931,267.18 561.96,267.236 \n",
+       "  561.988,267.297 562.016,267.352 562.045,267.405 562.073,267.453 562.101,267.498 562.13,267.542 562.158,267.571 562.186,267.599 562.214,267.624 562.243,267.663 \n",
+       "  562.271,267.7 562.299,267.738 562.327,267.771 562.356,267.821 562.384,267.894 562.412,267.961 562.44,268.041 562.468,268.108 562.496,268.161 562.524,268.215 \n",
+       "  562.552,268.267 562.581,268.321 562.609,268.373 562.637,268.409 562.665,268.447 562.693,268.49 562.721,268.535 562.749,268.59 562.777,268.66 562.805,268.711 \n",
+       "  562.833,268.755 562.861,268.818 562.889,268.853 562.917,268.88 562.945,268.91 562.973,268.95 563,268.992 563.028,269.039 563.056,269.09 563.084,269.144 \n",
+       "  563.112,269.185 563.14,269.233 563.168,269.279 563.195,269.341 563.223,269.383 563.251,269.423 563.279,269.455 563.307,269.486 563.334,269.517 563.362,269.555 \n",
+       "  563.39,269.588 563.418,269.627 563.445,269.66 563.473,269.718 563.501,269.772 563.528,269.821 563.556,269.857 563.584,269.875 563.611,269.904 563.639,269.916 \n",
+       "  563.666,269.914 563.694,269.921 563.722,269.957 563.749,269.995 563.777,270.02 563.804,270.047 563.832,270.067 563.859,270.094 563.887,270.134 563.914,270.176 \n",
+       "  563.942,270.213 563.969,270.232 563.997,270.233 564.024,270.247 564.052,270.261 564.079,270.277 564.107,270.296 564.134,270.31 564.162,270.304 564.189,270.297 \n",
+       "  564.216,270.294 564.244,270.292 564.271,270.279 564.298,270.279 564.326,270.28 564.353,270.285 564.38,270.277 564.408,270.264 564.435,270.253 564.462,270.252 \n",
+       "  564.489,270.279 564.517,270.302 564.544,270.303 564.571,270.274 564.598,270.251 564.626,270.243 564.653,270.25 564.68,270.254 564.707,270.25 564.734,270.266 \n",
+       "  564.761,270.281 564.789,270.287 564.816,270.317 564.843,270.333 564.87,270.35 564.897,270.348 564.924,270.363 564.951,270.377 564.978,270.375 565.005,270.371 \n",
+       "  565.032,270.363 565.059,270.351 565.086,270.363 565.113,270.373 565.14,270.393 565.167,270.419 565.194,270.442 565.221,270.482 565.248,270.509 565.275,270.566 \n",
+       "  565.302,270.621 565.329,270.67 565.356,270.731 565.383,270.791 565.409,270.869 565.436,270.953 565.463,271.015 565.49,271.084 565.517,271.16 565.544,271.251 \n",
+       "  565.57,271.344 565.597,271.431 565.624,271.49 565.651,271.558 565.678,271.615 565.704,271.673 565.731,271.753 565.758,271.845 565.784,271.943 565.811,272.024 \n",
+       "  565.838,272.097 565.865,272.171 565.891,272.252 565.918,272.333 565.944,272.407 565.971,272.484 565.998,272.558 566.024,272.624 566.051,272.7 566.078,272.78 \n",
+       "  566.104,272.853 566.131,272.932 566.157,273.002 566.184,273.063 566.21,273.119 566.237,273.178 566.263,273.228 566.29,273.272 566.316,273.331 566.343,273.405 \n",
+       "  566.369,273.493 566.396,273.588 566.422,273.662 566.449,273.721 566.475,273.775 566.501,273.851 566.528,273.931 566.554,274.013 566.581,274.084 566.607,274.131 \n",
+       "  566.633,274.175 566.66,274.21 566.686,274.247 566.712,274.288 566.739,274.322 566.765,274.365 566.791,274.411 566.818,274.462 566.844,274.518 566.87,274.579 \n",
+       "  566.896,274.65 566.923,274.728 566.949,274.824 566.975,274.903 567.001,274.984 567.027,275.06 567.054,275.113 567.08,275.158 567.106,275.206 567.132,275.244 \n",
+       "  567.158,275.271 567.184,275.299 567.211,275.337 567.237,275.38 567.263,275.423 567.289,275.468 567.315,275.518 567.341,275.566 567.367,275.614 567.393,275.684 \n",
+       "  567.419,275.746 567.445,275.815 567.471,275.897 567.497,275.983 567.523,276.094 567.549,276.201 567.575,276.266 567.601,276.341 567.627,276.418 567.653,276.499 \n",
+       "  567.679,276.572 567.705,276.648 567.731,276.725 567.757,276.805 567.783,276.883 567.808,276.971 567.834,277.053 567.86,277.128 567.886,277.193 567.912,277.272 \n",
+       "  567.938,277.377 567.964,277.484 567.989,277.605 568.015,277.713 568.041,277.83 568.067,277.946 568.092,278.052 568.118,278.164 568.144,278.285 568.17,278.409 \n",
+       "  568.195,278.541 568.221,278.667 568.247,278.777 568.272,278.887 568.298,278.982 568.324,279.076 568.349,279.18 568.375,279.271 568.401,279.353 568.426,279.43 \n",
+       "  568.452,279.509 568.478,279.611 568.503,279.72 568.529,279.819 568.554,279.905 568.58,279.997 568.606,280.087 568.631,280.176 568.657,280.272 568.682,280.329 \n",
+       "  568.708,280.38 568.733,280.438 568.759,280.5 568.784,280.551 568.81,280.607 568.835,280.676 568.861,280.749 568.886,280.824 568.911,280.907 568.937,281.001 \n",
+       "  568.962,281.108 568.988,281.213 569.013,281.319 569.038,281.44 569.064,281.551 569.089,281.663 569.115,281.772 569.14,281.868 569.165,281.959 569.191,282.056 \n",
+       "  569.216,282.167 569.241,282.263 569.266,282.351 569.292,282.443 569.317,282.548 569.342,282.637 569.368,282.707 569.393,282.776 569.418,282.855 569.443,282.936 \n",
+       "  569.468,283.021 569.494,283.111 569.519,283.203 569.544,283.313 569.569,283.418 569.594,283.514 569.62,283.601 569.645,283.682 569.67,283.765 569.695,283.853 \n",
+       "  569.72,283.931 569.745,284.023 569.77,284.098 569.795,284.18 569.82,284.264 569.845,284.337 569.871,284.427 569.896,284.515 569.921,284.619 569.946,284.736 \n",
+       "  569.971,284.856 569.996,284.971 570.021,285.093 570.046,285.22 570.071,285.358 570.096,285.496 570.121,285.648 570.145,285.778 570.17,285.887 570.195,285.98 \n",
+       "  570.22,286.085 570.245,286.189 570.27,286.298 570.295,286.404 570.32,286.507 570.345,286.61 570.37,286.717 570.394,286.817 570.419,286.911 570.444,287.014 \n",
+       "  570.469,287.118 570.494,287.209 570.519,287.297 570.543,287.391 570.568,287.47 570.593,287.554 570.618,287.648 570.642,287.742 570.667,287.822 570.692,287.898 \n",
+       "  570.717,287.989 570.741,288.081 570.766,288.172 570.791,288.273 570.815,288.353 570.84,288.447 570.865,288.551 570.889,288.665 570.914,288.778 570.939,288.895 \n",
+       "  570.963,289.008 570.988,289.11 571.013,289.212 571.037,289.307 571.062,289.401 571.086,289.496 571.111,289.583 571.135,289.664 571.16,289.752 571.185,289.839 \n",
+       "  571.209,289.921 571.234,290.005 571.258,290.108 571.283,290.208 571.307,290.3 571.332,290.4 571.356,290.502 571.381,290.603 571.405,290.718 571.43,290.844 \n",
+       "  571.454,290.957 571.478,291.058 571.503,291.148 571.527,291.245 571.552,291.338 571.576,291.431 571.6,291.531 571.625,291.623 571.649,291.686 571.673,291.742 \n",
+       "  571.698,291.789 571.722,291.844 571.747,291.888 571.771,291.945 571.795,292.007 571.819,292.077 571.844,292.146 571.868,292.22 571.892,292.285 571.917,292.35 \n",
+       "  571.941,292.398 571.965,292.443 571.989,292.486 572.014,292.533 572.038,292.575 572.062,292.619 572.086,292.672 572.11,292.732 572.135,292.811 572.159,292.878 \n",
+       "  572.183,292.955 572.207,293.046 572.231,293.149 572.255,293.248 572.279,293.333 572.304,293.412 572.328,293.484 572.352,293.587 572.376,293.711 572.4,293.825 \n",
+       "  572.424,293.947 572.448,294.05 572.472,294.156 572.496,294.278 572.52,294.414 572.544,294.548 572.568,294.679 572.592,294.804 572.616,294.915 572.64,295.041 \n",
+       "  572.664,295.165 572.688,295.308 572.712,295.453 572.736,295.58 572.76,295.707 572.784,295.844 572.808,295.959 572.832,296.077 572.856,296.173 572.88,296.265 \n",
+       "  572.904,296.362 572.927,296.449 572.951,296.535 572.975,296.625 572.999,296.708 573.023,296.792 573.047,296.868 573.071,296.955 573.094,297.028 573.118,297.1 \n",
+       "  573.142,297.178 573.166,297.254 573.19,297.321 573.213,297.398 573.237,297.464 573.261,297.518 573.285,297.575 573.308,297.667 573.332,297.746 573.356,297.812 \n",
+       "  573.38,297.896 573.403,297.967 573.427,298.039 573.451,298.123 573.474,298.217 573.498,298.308 573.522,298.395 573.545,298.468 573.569,298.541 573.593,298.619 \n",
+       "  573.616,298.701 573.64,298.789 573.663,298.882 573.687,298.959 573.711,299.038 573.734,299.123 573.758,299.207 573.781,299.294 573.805,299.356 573.828,299.415 \n",
+       "  573.852,299.491 573.875,299.559 573.899,299.626 573.923,299.678 573.946,299.706 573.97,299.735 573.993,299.763 574.016,299.79 574.04,299.8 574.063,299.817 \n",
+       "  574.087,299.834 574.11,299.858 574.134,299.897 574.157,299.954 574.181,299.996 574.204,300.04 574.227,300.085 574.251,300.133 574.274,300.19 574.298,300.258 \n",
+       "  574.321,300.325 574.344,300.388 574.368,300.447 574.391,300.519 574.414,300.572 574.438,300.612 574.461,300.644 574.484,300.68 574.508,300.726 574.531,300.772 \n",
+       "  574.554,300.806 574.577,300.838 574.601,300.871 574.624,300.917 574.647,300.958 574.67,301.003 574.694,301.039 574.717,301.07 574.74,301.1 574.763,301.114 \n",
+       "  574.786,301.13 574.81,301.137 574.833,301.153 574.856,301.165 574.879,301.186 574.902,301.201 574.926,301.215 574.949,301.231 574.972,301.245 574.995,301.261 \n",
+       "  575.018,301.28 575.041,301.307 575.064,301.326 575.087,301.346 575.11,301.377 575.133,301.415 575.157,301.426 575.18,301.444 575.203,301.454 575.226,301.453 \n",
+       "  575.249,301.446 575.272,301.447 575.295,301.447 575.318,301.433 575.341,301.417 575.364,301.424 575.387,301.427 575.41,301.421 575.433,301.414 575.456,301.416 \n",
+       "  575.479,301.417 575.501,301.401 575.524,301.407 575.547,301.42 575.57,301.456 575.593,301.492 575.616,301.518 575.639,301.552 575.662,301.566 575.685,301.595 \n",
+       "  575.708,301.636 575.73,301.69 575.753,301.75 575.776,301.808 575.799,301.864 575.822,301.934 575.845,302.004 575.867,302.083 575.89,302.158 575.913,302.211 \n",
+       "  575.936,302.259 575.959,302.296 575.981,302.353 576.004,302.43 576.027,302.49 576.05,302.538 576.072,302.572 576.095,302.612 576.118,302.664 576.14,302.705 \n",
+       "  576.163,302.759 576.186,302.807 576.208,302.864 576.231,302.898 576.254,302.937 576.277,302.967 576.299,302.984 576.322,302.986 576.344,302.992 576.367,302.984 \n",
+       "  576.39,302.955 576.412,302.914 576.435,302.891 576.458,302.898 576.48,302.902 576.503,302.898 576.525,302.884 576.548,302.873 576.57,302.848 576.593,302.827 \n",
+       "  576.615,302.809 576.638,302.779 576.661,302.758 576.683,302.74 576.706,302.736 576.728,302.735 576.751,302.743 576.773,302.758 576.796,302.79 576.818,302.812 \n",
+       "  576.84,302.842 576.863,302.898 576.885,302.944 576.908,302.994 576.93,303.046 576.953,303.096 576.975,303.17 576.997,303.228 577.02,303.26 577.042,303.287 \n",
+       "  577.065,303.306 577.087,303.323 577.109,303.352 577.132,303.372 577.154,303.381 577.176,303.393 577.199,303.402 577.221,303.404 577.243,303.432 577.266,303.441 \n",
+       "  577.288,303.441 577.31,303.463 577.333,303.491 577.355,303.535 577.377,303.592 577.399,303.657 577.422,303.709 577.444,303.776 577.466,303.848 577.488,303.913 \n",
+       "  577.511,303.985 577.533,304.057 577.555,304.134 577.577,304.199 577.599,304.259 577.622,304.326 577.644,304.412 577.666,304.482 577.688,304.541 577.71,304.594 \n",
+       "  577.733,304.649 577.755,304.688 577.777,304.728 577.799,304.766 577.821,304.806 577.843,304.837 577.865,304.863 577.887,304.887 577.909,304.921 577.932,304.97 \n",
+       "  577.954,305.03 577.976,305.094 577.998,305.162 578.02,305.232 578.042,305.313 578.064,305.403 578.086,305.487 578.108,305.568 578.13,305.662 578.152,305.74 \n",
+       "  578.174,305.81 578.196,305.866 578.218,305.909 578.24,305.946 578.262,305.982 578.284,306.021 578.306,306.052 578.328,306.082 578.35,306.125 578.372,306.161 \n",
+       "  578.393,306.173 578.415,306.185 578.437,306.185 578.459,306.196 578.481,306.217 578.503,306.253 578.525,306.294 578.547,306.338 578.569,306.377 578.59,306.432 \n",
+       "  578.612,306.471 578.634,306.514 578.656,306.557 578.678,306.591 578.7,306.638 578.721,306.689 578.743,306.741 578.765,306.793 578.787,306.826 578.809,306.85 \n",
+       "  578.83,306.876 578.852,306.918 578.874,306.954 578.896,306.997 578.917,307.043 578.939,307.099 578.961,307.164 578.983,307.229 579.004,307.317 579.026,307.397 \n",
+       "  579.048,307.495 579.069,307.596 579.091,307.696 579.113,307.801 579.134,307.896 579.156,308.004 579.178,308.119 579.199,308.225 579.221,308.33 579.243,308.45 \n",
+       "  579.264,308.574 579.286,308.692 579.307,308.802 579.329,308.933 579.351,309.073 579.372,309.207 579.394,309.336 579.415,309.462 579.437,309.597 579.459,309.726 \n",
+       "  579.48,309.833 579.502,309.935 579.523,310.032 579.545,310.116 579.566,310.198 579.588,310.28 579.609,310.363 579.631,310.437 579.652,310.518 579.674,310.601 \n",
+       "  579.695,310.679 579.717,310.743 579.738,310.829 579.76,310.902 579.781,310.991 579.802,311.088 579.824,311.178 579.845,311.264 579.867,311.355 579.888,311.449 \n",
+       "  579.91,311.529 579.931,311.615 579.952,311.717 579.974,311.813 579.995,311.887 580.017,311.966 580.038,312.05 580.059,312.148 580.081,312.254 580.102,312.377 \n",
+       "  580.123,312.509 580.145,312.659 580.166,312.801 580.187,312.931 580.209,313.064 580.23,313.208 580.251,313.348 580.272,313.499 580.294,313.665 580.315,313.813 \n",
+       "  580.336,313.971 580.357,314.129 580.379,314.283 580.4,314.453 580.421,314.616 580.442,314.786 580.464,314.952 580.485,315.109 580.506,315.262 580.527,315.405 \n",
+       "  580.548,315.551 580.57,315.72 580.591,315.876 580.612,316.044 580.633,316.216 580.654,316.378 580.675,316.529 580.697,316.682 580.718,316.82 580.739,316.936 \n",
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+       "  580.971,318.361 580.992,318.516 581.013,318.658 581.034,318.801 581.055,318.949 581.076,319.116 581.097,319.287 581.118,319.444 581.139,319.617 581.16,319.807 \n",
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+       "  536.893,348.118 536.935,348.13 536.977,348.107 537.018,348.085 537.06,348.073 537.102,348.033 537.144,347.987 537.186,347.955 537.228,347.891 537.27,347.809 \n",
+       "  537.311,347.722 537.353,347.649 537.395,347.59 537.436,347.522 537.478,347.517 537.52,347.51 537.561,347.494 537.603,347.471 537.644,347.446 537.686,347.419 \n",
+       "  537.727,347.387 537.769,347.332 537.81,347.293 537.851,347.279 537.893,347.269 537.934,347.252 537.975,347.228 538.017,347.201 538.058,347.179 538.099,347.147 \n",
+       "  538.14,347.113 538.182,347.079 538.223,347.037 538.264,347.036 538.305,347.031 538.346,347.059 538.387,347.066 538.428,347.087 538.469,347.102 538.51,347.111 \n",
+       "  538.551,347.126 538.592,347.13 538.633,347.11 538.674,347.076 538.715,347.09 538.755,347.122 538.796,347.165 538.837,347.233 538.878,347.308 538.918,347.352 \n",
+       "  538.959,347.375 539,347.381 539.04,347.392 539.081,347.383 539.121,347.359 539.162,347.349 539.202,347.323 539.243,347.341 539.283,347.325 539.324,347.335 \n",
+       "  539.364,347.343 539.405,347.365 539.445,347.379 539.485,347.399 539.526,347.439 539.566,347.448 539.606,347.413 539.647,347.375 539.687,347.323 539.727,347.285 \n",
+       "  539.767,347.248 539.807,347.21 539.847,347.181 539.887,347.185 539.928,347.179 539.968,347.159 540.008,347.149 540.048,347.128 540.088,347.094 540.127,347.074 \n",
+       "  540.167,347.036 540.207,346.996 540.247,346.956 540.287,346.935 540.327,346.897 540.367,346.875 540.406,346.877 540.446,346.904 540.486,346.966 540.526,347.061 \n",
+       "  540.565,347.177 540.605,347.273 540.644,347.373 540.684,347.473 540.724,347.573 540.763,347.68 540.803,347.765 540.842,347.845 540.882,347.919 540.921,348.005 \n",
+       "  540.961,348.112 541,348.211 541.039,348.31 541.079,348.446 541.118,348.576 541.157,348.687 541.197,348.802 541.236,348.907 541.275,349.015 541.314,349.118 \n",
+       "  541.353,349.217 541.393,349.306 541.432,349.397 541.471,349.467 541.51,349.554 541.549,349.611 541.588,349.674 541.627,349.728 541.666,349.768 541.705,349.786 \n",
+       "  541.744,349.825 541.783,349.88 541.822,349.953 541.861,350.035 541.899,350.1 541.938,350.133 541.977,350.178 542.016,350.22 551.004,350.212 551.038,350.158 \n",
+       "  551.071,350.107 551.105,350.057 551.138,349.996 551.172,349.959 551.206,349.927 551.239,349.881 551.273,349.859 551.306,349.839 551.34,349.813 551.373,349.826 \n",
+       "  551.407,349.811 551.44,349.784 551.474,349.746 551.507,349.732 551.54,349.708 551.574,349.681 551.607,349.659 551.64,349.63 551.674,349.598 551.707,349.561 \n",
+       "  551.74,349.532 551.774,349.508 551.807,349.476 551.84,349.437 551.873,349.356 551.907,349.315 551.94,349.256 551.973,349.181 552.006,349.11 552.039,349.02 \n",
+       "  552.072,348.928 552.105,348.828 552.138,348.754 552.172,348.694 552.205,348.623 552.238,348.582 552.271,348.551 552.304,348.537 552.337,348.524 552.37,348.533 \n",
+       "  552.403,348.555 552.435,348.544 552.468,348.551 552.501,348.565 552.534,348.576 552.567,348.593 552.6,348.64 552.633,348.695 552.666,348.766 552.698,348.823 \n",
+       "  552.731,348.913 552.764,348.988 552.797,349.041 552.829,349.11 552.862,349.175 552.895,349.249 552.927,349.341 552.96,349.432 552.993,349.524 553.025,349.582 \n",
+       "  553.058,349.643 553.091,349.692 553.123,349.737 553.156,349.783 553.188,349.8 553.221,349.817 553.253,349.871 553.286,349.925 553.318,349.965 553.351,350.025 \n",
+       "  553.383,350.097 553.416,350.169 553.448,350.219 553.48,350.26 572.951,350.236 572.975,350.145 572.999,350.029 573.023,349.911 573.047,349.796 573.071,349.646 \n",
+       "  573.094,349.494 573.118,349.327 573.142,349.179 573.166,349.054 573.19,348.913 573.213,348.769 573.237,348.599 573.261,348.453 573.285,348.324 573.308,348.16 \n",
+       "  573.332,347.995 573.356,347.803 573.38,347.627 573.403,347.448 573.427,347.291 573.451,347.162 573.474,347.023 573.498,346.904 573.522,346.79 573.545,346.684 \n",
+       "  573.569,346.581 573.593,346.482 573.616,346.418 573.64,346.347 573.663,346.252 573.687,346.178 573.711,346.115 573.734,346.048 573.758,346.011 573.781,345.986 \n",
+       "  573.805,345.939 573.828,345.898 573.852,345.826 573.875,345.759 573.899,345.682 573.923,345.611 573.946,345.552 573.97,345.47 573.993,345.384 574.016,345.29 \n",
+       "  574.04,345.211 574.063,345.13 574.087,345.056 574.11,344.973 574.134,344.888 574.157,344.795 574.181,344.706 574.204,344.601 574.227,344.479 574.251,344.348 \n",
+       "  574.274,344.213 574.298,344.093 574.321,343.958 574.344,343.821 574.368,343.675 574.391,343.526 574.414,343.376 574.438,343.224 574.461,343.044 574.484,342.879 \n",
+       "  574.508,342.738 574.531,342.595 574.554,342.46 574.577,342.332 574.601,342.21 574.624,342.076 574.647,341.941 574.67,341.787 574.694,341.615 574.717,341.445 \n",
+       "  574.74,341.245 574.763,341.067 574.786,340.876 574.81,340.701 574.833,340.532 574.856,340.397 574.879,340.264 574.902,340.133 574.926,339.985 574.949,339.831 \n",
+       "  574.972,339.684 574.995,339.544 575.018,339.412 575.041,339.299 575.064,339.21 575.087,339.109 575.11,339.037 575.133,338.938 575.157,338.844 575.18,338.763 \n",
+       "  575.203,338.664 575.226,338.585 575.249,338.506 575.272,338.418 575.295,338.327 575.318,338.252 575.341,338.136 575.364,338.019 575.387,337.914 575.41,337.78 \n",
+       "  575.433,337.66 575.456,337.537 575.479,337.408 575.501,337.271 575.524,337.15 575.547,337.017 575.57,336.894 575.593,336.827 575.616,336.764 575.639,336.706 \n",
+       "  575.662,336.661 575.685,336.618 575.708,336.579 575.73,336.541 575.753,336.484 575.776,336.43 575.799,336.38 575.822,336.365 575.845,336.355 575.867,336.352 \n",
+       "  575.89,336.364 575.913,336.396 575.936,336.438 575.959,336.45 575.981,336.455 576.004,336.408 576.027,336.352 576.05,336.272 576.072,336.218 576.095,336.136 \n",
+       "  576.118,336.087 576.14,336.012 576.163,335.959 576.186,335.919 576.208,335.906 576.231,335.911 576.254,335.876 576.277,335.822 576.299,335.755 576.322,335.703 \n",
+       "  576.344,335.645 576.367,335.568 576.39,335.493 576.412,335.397 576.435,335.29 576.458,335.213 576.48,335.168 576.503,335.114 576.525,335.024 576.548,334.928 \n",
+       "  576.57,334.831 576.593,334.747 576.615,334.69 576.638,334.643 576.661,334.596 576.683,334.497 576.706,334.413 576.728,334.336 576.751,334.261 576.773,334.174 \n",
+       "  576.796,334.095 576.818,334.022 576.84,333.931 576.863,333.881 576.885,333.809 576.908,333.765 576.93,333.771 576.953,333.801 576.975,333.84 576.997,333.891 \n",
+       "  577.02,333.911 577.042,333.912 577.065,333.937 577.087,333.947 577.109,333.988 577.132,334.006 577.154,334.013 577.176,334.061 577.199,334.126 577.221,334.204 \n",
+       "  577.243,334.268 577.266,334.304 577.288,334.361 577.31,334.428 577.333,334.48 577.355,334.528 577.377,334.566 577.399,334.626 577.422,334.662 577.444,334.704 \n",
+       "  577.466,334.752 577.488,334.803 577.511,334.867 577.533,334.935 577.555,334.992 577.577,335.027 577.599,335.063 577.622,335.096 577.644,335.153 577.666,335.194 \n",
+       "  577.688,335.224 577.71,335.23 577.733,335.244 577.755,335.24 577.777,335.218 577.799,335.218 577.821,335.193 577.843,335.16 577.865,335.14 577.887,335.137 \n",
+       "  577.909,335.16 577.932,335.175 577.954,335.207 577.976,335.238 577.998,335.272 578.02,335.297 578.042,335.359 578.064,335.43 578.086,335.517 578.108,335.573 \n",
+       "  578.13,335.603 578.152,335.627 578.174,335.662 578.196,335.672 578.218,335.678 578.24,335.663 578.262,335.647 578.284,335.634 578.306,335.614 578.328,335.617 \n",
+       "  578.35,335.632 578.372,335.661 578.393,335.668 578.415,335.708 578.437,335.741 578.459,335.786 578.481,335.828 578.503,335.9 578.525,335.997 578.547,336.112 \n",
+       "  578.569,336.222 578.59,336.376 578.612,336.537 578.634,336.716 578.656,336.875 578.678,337.037 578.7,337.165 578.721,337.288 578.743,337.416 578.765,337.557 \n",
+       "  578.787,337.715 578.809,337.894 578.83,338.057 578.852,338.222 578.874,338.402 578.896,338.549 578.917,338.699 578.939,338.844 578.961,338.999 578.983,339.152 \n",
+       "  579.004,339.317 579.026,339.454 579.048,339.598 579.069,339.764 579.091,339.909 579.113,340.049 579.134,340.172 579.156,340.311 579.178,340.46 579.199,340.602 \n",
+       "  579.221,340.737 579.243,340.897 579.264,341.056 579.286,341.204 579.307,341.356 579.329,341.526 579.351,341.668 579.372,341.816 579.394,341.969 579.415,342.076 \n",
+       "  579.437,342.184 579.459,342.257 579.48,342.332 579.502,342.406 579.523,342.485 579.545,342.577 579.566,342.654 579.588,342.752 579.609,342.851 579.631,342.944 \n",
+       "  579.652,343.037 579.674,343.129 579.695,343.205 579.717,343.307 579.738,343.427 579.76,343.537 579.781,343.65 579.802,343.785 579.824,343.911 579.845,344.027 \n",
+       "  579.867,344.112 579.888,344.205 579.91,344.307 579.931,344.389 579.952,344.459 579.974,344.519 579.995,344.583 580.017,344.649 580.038,344.711 580.059,344.779 \n",
+       "  580.081,344.873 580.102,344.957 580.123,345.07 580.145,345.192 580.166,345.322 580.187,345.483 580.209,345.639 580.23,345.776 580.251,345.909 580.272,346.05 \n",
+       "  580.294,346.166 580.315,346.29 580.336,346.43 580.357,346.572 580.379,346.709 580.4,346.853 580.421,347.005 580.442,347.151 580.464,347.266 580.485,347.362 \n",
+       "  580.506,347.419 580.527,347.478 580.548,347.522 580.57,347.544 580.591,347.575 580.612,347.562 580.633,347.535 580.654,347.528 580.675,347.533 580.697,347.539 \n",
+       "  580.718,347.564 580.739,347.571 580.76,347.561 580.781,347.538 580.802,347.503 580.823,347.464 580.844,347.429 580.866,347.406 580.887,347.398 580.908,347.404 \n",
+       "  580.929,347.4 580.95,347.404 580.971,347.41 580.992,347.427 581.013,347.424 581.034,347.423 581.055,347.428 581.076,347.451 581.097,347.467 581.118,347.478 \n",
+       "  581.139,347.49 581.16,347.499 581.181,347.495 581.202,347.456 581.223,347.408 581.244,347.341 581.265,347.268 581.286,347.191 581.307,347.098 581.328,346.979 \n",
+       "  581.349,346.866 581.37,346.753 581.391,346.637 581.411,346.507 581.432,346.391 581.453,346.261 581.474,346.105 581.495,345.94 581.516,345.777 581.537,345.607 \n",
+       "  581.558,345.431 581.578,345.261 581.599,345.091 581.62,344.884 581.641,344.659 581.662,344.455 581.683,344.274 581.703,344.113 581.724,343.954 581.745,343.804 \n",
+       "  581.766,343.696 581.787,343.602 581.807,343.502 581.828,343.414 581.849,343.305 581.87,343.188 581.89,343.074 581.911,342.964 581.932,342.865 581.953,342.793 \n",
+       "  581.973,342.721 581.994,342.667 582.015,342.605 582.036,342.563 582.056,342.53 582.077,342.476 582.098,342.432 582.118,342.425 582.139,342.423 582.16,342.439 \n",
+       "  582.18,342.401 582.201,342.368 582.222,342.354 582.242,342.343 582.263,342.324 582.283,342.298 582.304,342.27 582.325,342.24 582.345,342.214 582.366,342.194 \n",
+       "  582.386,342.178 582.407,342.143 582.428,342.107 582.448,342.1 582.469,342.1 582.489,342.086 582.51,342.074 582.53,342.081 582.551,342.106 582.572,342.103 \n",
+       "  582.592,342.103 582.613,342.112 582.633,342.102 582.654,342.071 582.674,342.054 582.695,342.024 582.715,342.014 582.736,341.972 582.756,341.918 582.776,341.866 \n",
+       "  582.797,341.796 582.817,341.716 582.838,341.618 582.858,341.542 582.879,341.491 582.899,341.436 582.92,341.375 582.94,341.327 582.96,341.27 582.981,341.206 \n",
+       "  583.001,341.131 583.022,341.09 583.042,341.087 583.062,341.105 583.083,341.143 583.103,341.194 583.123,341.273 583.144,341.355 583.164,341.439 583.184,341.533 \n",
+       "  583.205,341.648 583.225,341.805 583.245,341.963 583.266,342.124 583.286,342.332 583.306,342.525 583.327,342.723 583.347,342.919 583.367,343.133 583.387,343.35 \n",
+       "  583.408,343.562 583.428,343.809 583.448,344.078 583.468,344.328 583.489,344.608 583.509,344.878 583.529,345.177 583.549,345.511 583.57,345.865 583.59,346.191 \n",
+       "  583.61,346.481 583.63,346.768 583.65,347.037 583.671,347.279 583.691,347.539 583.711,347.788 583.731,348.038 583.751,348.291 583.771,348.502 583.792,348.719 \n",
+       "  583.812,348.946 583.832,349.176 583.852,349.406 583.872,349.641 583.892,349.87 583.912,350.079 585.774,350.243 585.794,350.012 585.813,349.771 585.833,349.537 \n",
+       "  585.852,349.313 585.872,349.077 585.891,348.84 585.911,348.584 585.93,348.315 585.95,348.032 585.969,347.755 585.989,347.498 586.008,347.266 586.028,347.012 \n",
+       "  586.047,346.792 586.067,346.581 586.086,346.379 586.105,346.202 586.125,346.041 586.144,345.898 586.164,345.76 586.183,345.672 586.202,345.621 586.222,345.6 \n",
+       "  586.241,345.572 586.261,345.545 586.28,345.552 586.299,345.531 586.319,345.528 586.338,345.501 586.357,345.469 586.377,345.393 586.396,345.318 586.415,345.221 \n",
+       "  586.435,345.087 586.454,344.947 586.473,344.84 586.493,344.753 586.512,344.671 586.531,344.623 586.551,344.593 586.57,344.586 586.589,344.61 586.608,344.641 \n",
+       "  586.628,344.623 586.647,344.601 586.666,344.6 586.685,344.578 586.705,344.545 586.724,344.478 586.743,344.428 586.762,344.389 586.782,344.367 586.801,344.385 \n",
+       "  586.82,344.414 586.839,344.441 586.858,344.457 586.878,344.503 586.897,344.544 586.916,344.639 586.935,344.727 586.954,344.832 586.974,344.922 586.993,345.014 \n",
+       "  587.012,345.118 587.031,345.222 587.05,345.312 587.069,345.39 587.088,345.469 587.108,345.557 587.127,345.645 587.146,345.702 587.165,345.774 587.184,345.836 \n",
+       "  587.203,345.889 587.222,345.955 587.241,346.006 587.26,346.027 587.279,346.055 587.298,346.06 587.317,346.113 587.337,346.203 587.356,346.312 587.375,346.414 \n",
+       "  587.394,346.536 587.413,346.688 587.432,346.825 587.451,346.963 587.47,347.057 587.489,347.168 587.508,347.275 587.527,347.377 587.546,347.468 587.565,347.565 \n",
+       "  587.584,347.679 587.603,347.806 587.622,347.975 587.641,348.148 587.66,348.322 587.679,348.469 587.698,348.619 587.716,348.781 587.735,348.982 587.754,349.168 \n",
+       "  587.773,349.359 587.792,349.561 587.811,349.791 587.83,350.001 587.849,350.222 591.145,350.214 591.163,350.162 591.181,350.085 591.199,350.012 591.217,349.943 \n",
+       "  591.235,349.849 591.253,349.757 591.271,349.661 591.289,349.564 591.307,349.458 591.324,349.356 591.342,349.251 591.36,349.165 591.378,349.057 591.396,348.978 \n",
+       "  591.414,348.886 591.432,348.806 591.45,348.742 591.467,348.671 591.485,348.592 591.503,348.519 591.521,348.448 591.539,348.378 591.557,348.322 591.575,348.253 \n",
+       "  591.592,348.197 591.61,348.177 591.628,348.167 591.646,348.138 591.664,348.15 591.681,348.154 591.699,348.185 591.717,348.233 591.735,348.292 591.753,348.358 \n",
+       "  591.77,348.424 591.788,348.507 591.806,348.589 591.824,348.679 591.841,348.755 591.859,348.824 591.877,348.907 591.895,348.985 591.912,349.064 591.93,349.125 \n",
+       "  591.948,349.153 591.966,349.157 591.983,349.154 592.001,349.139 592.019,349.121 592.036,349.113 592.054,349.11 592.072,349.073 592.089,349.071 592.107,349.085 \n",
+       "  592.125,349.132 592.142,349.21 592.16,349.283 592.178,349.384 592.195,349.474 592.213,349.602 592.231,349.724 592.248,349.848 592.266,349.946 592.284,350.066 \n",
+       "  592.301,350.164 596.082,350.246 596.099,350.151 596.115,350.07 596.132,350.001 596.149,349.969 596.165,349.918 596.182,349.91 596.198,349.925 596.215,349.934 \n",
+       "  596.232,349.946 596.248,349.921 596.265,349.904 596.281,349.925 596.298,349.928 596.314,349.911 596.331,349.892 596.347,349.856 596.364,349.839 596.381,349.865 \n",
+       "  596.397,349.899 596.414,349.914 596.43,349.916 596.447,349.909 596.463,349.906 596.48,349.917 596.496,349.939 596.513,349.937 596.529,349.934 596.546,349.955 \n",
+       "  596.562,349.981 596.579,349.998 596.595,349.969 596.612,349.95 596.628,349.927 596.645,349.907 596.661,349.883 596.677,349.876 596.694,349.852 596.71,349.831 \n",
+       "  596.727,349.812 596.743,349.772 596.76,349.744 596.776,349.712 596.793,349.663 596.809,349.604 596.825,349.556 596.842,349.528 596.858,349.494 596.875,349.469 \n",
+       "  596.891,349.445 596.907,349.41 596.924,349.377 596.94,349.357 596.957,349.353 596.973,349.358 596.989,349.358 597.006,349.398 597.022,349.431 597.038,349.489 \n",
+       "  597.055,349.546 597.071,349.601 597.088,349.698 597.104,349.807 597.12,349.913 597.137,350.026 597.153,350.11 597.169,350.191 602.733,350.143 602.748,349.905 \n",
+       "  602.763,349.683 602.778,349.437 602.793,349.195 602.808,348.975 602.823,348.761 602.838,348.561 602.853,348.385 602.868,348.233 602.883,348.08 602.898,347.924 \n",
+       "  602.912,347.777 602.927,347.633 602.942,347.456 602.957,347.296 602.972,347.135 602.987,346.987 603.002,346.862 603.017,346.749 603.032,346.611 603.047,346.478 \n",
+       "  603.062,346.383 603.076,346.303 603.091,346.182 603.106,346.072 603.121,345.971 603.136,345.851 603.151,345.769 603.166,345.629 603.181,345.525 603.195,345.448 \n",
+       "  603.21,345.365 603.225,345.276 603.24,345.168 603.255,345.029 603.27,344.891 603.285,344.754 603.299,344.625 603.314,344.494 603.329,344.422 603.344,344.366 \n",
+       "  603.359,344.31 603.373,344.25 603.388,344.162 603.403,344.04 603.418,343.894 603.433,343.761 603.448,343.65 603.462,343.542 603.477,343.447 603.492,343.38 \n",
+       "  603.507,343.322 603.521,343.247 603.536,343.152 603.551,343.043 603.566,342.92 603.581,342.744 603.595,342.521 603.61,342.312 603.625,342.08 603.64,341.856 \n",
+       "  603.654,341.615 603.669,341.415 603.684,341.215 603.699,341.032 603.713,340.85 603.728,340.685 603.743,340.517 603.758,340.335 603.772,340.154 603.787,339.987 \n",
+       "  603.802,339.835 603.816,339.702 603.831,339.542 603.846,339.401 603.861,339.255 603.875,339.13 603.89,339.017 603.905,338.923 603.919,338.8 603.934,338.727 \n",
+       "  603.949,338.667 603.963,338.629 603.978,338.619 603.993,338.646 604.007,338.634 604.022,338.621 604.037,338.581 604.051,338.525 604.066,338.467 604.081,338.419 \n",
+       "  604.095,338.408 604.11,338.34 604.125,338.297 604.139,338.267 604.154,338.268 604.169,338.306 604.183,338.338 604.198,338.367 604.213,338.388 604.227,338.379 \n",
+       "  604.242,338.362 604.256,338.367 604.271,338.371 604.286,338.394 604.3,338.435 604.315,338.482 604.329,338.537 604.344,338.589 604.359,338.655 604.373,338.728 \n",
+       "  604.388,338.781 604.402,338.884 604.417,338.991 604.432,339.086 604.446,339.163 604.461,339.242 604.475,339.293 604.49,339.361 604.504,339.419 604.519,339.504 \n",
+       "  604.533,339.569 604.548,339.65 604.563,339.775 604.577,339.887 604.592,339.981 604.606,340.098 604.621,340.193 604.635,340.289 604.65,340.398 604.664,340.474 \n",
+       "  604.679,340.567 604.693,340.687 604.708,340.83 604.722,340.941 604.737,341.062 604.751,341.159 604.766,341.251 604.78,341.352 604.795,341.443 604.809,341.552 \n",
+       "  604.824,341.688 604.838,341.805 604.853,341.908 604.867,341.995 604.882,342.087 604.896,342.167 604.911,342.239 604.925,342.291 604.94,342.38 604.954,342.452 \n",
+       "  604.968,342.522 604.983,342.579 604.997,342.661 605.012,342.714 605.026,342.807 605.041,342.908 605.055,343.032 605.07,343.158 605.084,343.276 605.098,343.404 \n",
+       "  605.113,343.539 605.127,343.703 605.142,343.872 605.156,344.015 605.17,344.138 605.185,344.259 605.199,344.372 605.214,344.491 605.228,344.613 605.242,344.719 \n",
+       "  605.257,344.805 605.271,344.879 605.286,344.92 605.3,344.997 605.314,345.058 605.329,345.114 605.343,345.154 605.357,345.167 605.372,345.151 605.386,345.135 \n",
+       "  605.401,345.105 605.415,345.104 605.429,345.102 605.444,345.071 605.458,345.072 605.472,345.067 605.487,345.069 605.501,345.069 605.515,345.043 605.53,345.039 \n",
+       "  605.544,345.045 605.558,345.085 605.573,345.12 605.587,345.167 605.601,345.173 605.616,345.178 605.63,345.174 605.644,345.175 605.658,345.168 605.673,345.167 \n",
+       "  605.687,345.181 605.701,345.162 605.716,345.185 605.73,345.214 605.744,345.262 605.758,345.34 605.773,345.46 605.787,345.533 605.801,345.627 605.815,345.723 \n",
+       "  605.83,345.841 605.844,345.948 605.858,346.089 605.873,346.22 605.887,346.353 605.901,346.469 605.915,346.585 605.929,346.731 605.944,346.913 605.958,347.046 \n",
+       "  605.972,347.146 605.986,347.257 606.001,347.385 606.015,347.525 606.029,347.631 606.043,347.726 606.057,347.792 606.072,347.855 606.086,347.906 606.1,347.956 \n",
+       "  606.114,348.002 606.128,348.04 606.143,348.073 606.157,348.131 606.171,348.155 606.185,348.161 606.199,348.133 606.214,348.081 606.228,348.038 606.242,347.984 \n",
+       "  606.256,347.912 606.27,347.83 606.284,347.739 606.299,347.64 606.313,347.557 606.327,347.47 606.341,347.413 606.355,347.343 606.369,347.257 606.383,347.188 \n",
+       "  606.398,347.136 606.412,347.087 606.426,347.058 606.44,347.013 606.454,346.98 606.468,346.948 606.482,346.9 606.496,346.786 606.51,346.685 606.525,346.607 \n",
+       "  606.539,346.53 606.553,346.464 606.567,346.411 606.581,346.383 606.595,346.371 606.609,346.338 606.623,346.268 606.637,346.23 606.651,346.202 606.665,346.179 \n",
+       "  606.68,346.174 606.694,346.152 606.708,346.122 606.722,346.092 606.736,346.049 606.75,346.018 606.764,345.957 606.778,345.876 606.792,345.809 606.806,345.742 \n",
+       "  606.82,345.687 606.834,345.65 606.848,345.605 606.862,345.533 606.876,345.488 606.89,345.469 606.904,345.457 606.918,345.427 606.932,345.394 606.946,345.339 \n",
+       "  606.96,345.275 606.974,345.198 606.988,345.114 607.002,345.009 607.016,344.912 607.03,344.838 607.044,344.769 607.058,344.714 607.072,344.647 607.086,344.576 \n",
+       "  607.1,344.541 607.114,344.511 607.128,344.502 607.142,344.495 607.156,344.492 607.17,344.49 607.184,344.515 607.198,344.524 607.212,344.534 607.226,344.559 \n",
+       "  607.24,344.594 607.254,344.625 607.268,344.638 607.282,344.663 607.296,344.716 607.31,344.78 607.323,344.822 607.337,344.888 607.351,344.932 607.365,344.96 \n",
+       "  607.379,345.007 607.393,345.055 607.407,345.098 607.421,345.161 607.435,345.224 607.449,345.295 607.463,345.338 607.476,345.396 607.49,345.457 607.504,345.509 \n",
+       "  607.518,345.591 607.532,345.666 607.546,345.735 607.56,345.803 607.574,345.877 607.588,345.973 607.601,346.053 607.615,346.109 607.629,346.177 607.643,346.247 \n",
+       "  607.657,346.286 607.671,346.349 607.685,346.425 607.698,346.506 607.712,346.583 607.726,346.641 607.74,346.707 607.754,346.738 607.768,346.749 607.781,346.791 \n",
+       "  607.795,346.825 607.809,346.859 607.823,346.885 607.837,346.911 607.851,346.923 607.864,346.932 607.878,346.952 607.892,346.955 607.906,346.953 607.92,346.959 \n",
+       "  607.933,346.925 607.947,346.91 607.961,346.89 607.975,346.873 607.989,346.824 608.002,346.807 608.016,346.779 608.03,346.796 608.044,346.837 608.057,346.845 \n",
+       "  608.071,346.853 608.085,346.839 608.099,346.839 608.112,346.857 608.126,346.875 608.14,346.888 608.154,346.914 608.167,346.924 608.181,346.959 608.195,346.971 \n",
+       "  608.209,346.993 608.222,347.02 608.236,347.022 608.25,347.019 608.264,346.982 608.277,346.884 608.291,346.813 608.305,346.786 608.318,346.761 608.332,346.739 \n",
+       "  608.346,346.723 608.36,346.721 608.373,346.708 608.387,346.67 608.401,346.646 608.414,346.607 608.428,346.577 608.442,346.55 608.455,346.539 608.469,346.553 \n",
+       "  608.483,346.555 608.496,346.561 608.51,346.539 608.524,346.565 608.537,346.589 608.551,346.613 608.565,346.638 608.578,346.664 608.592,346.699 608.606,346.724 \n",
+       "  608.619,346.718 608.633,346.728 608.647,346.76 608.66,346.773 608.674,346.778 608.688,346.784 608.701,346.746 608.715,346.72 608.729,346.67 608.742,346.644 \n",
+       "  608.756,346.591 608.769,346.548 608.783,346.498 608.797,346.419 608.81,346.332 608.824,346.243 608.837,346.171 608.851,346.114 608.865,346.054 608.878,345.98 \n",
+       "  608.892,345.94 608.905,345.888 608.919,345.815 608.933,345.739 608.946,345.678 608.96,345.631 608.973,345.591 608.987,345.567 609,345.568 609.014,345.627 \n",
+       "  609.028,345.709 609.041,345.776 609.055,345.858 609.068,345.957 609.082,346.049 609.095,346.132 609.109,346.223 609.122,346.327 609.136,346.423 609.149,346.525 \n",
+       "  609.163,346.604 609.177,346.676 609.19,346.784 609.204,346.874 609.217,346.953 609.231,347.03 609.244,347.092 609.258,347.181 609.271,347.275 609.285,347.351 \n",
+       "  609.298,347.436 609.312,347.494 609.325,347.584 609.339,347.636 609.352,347.718 609.366,347.787 609.379,347.844 609.393,347.88 609.406,347.901 609.42,347.934 \n",
+       "  609.433,347.98 609.447,347.986 609.46,347.962 609.474,347.95 609.487,347.875 609.5,347.8 609.514,347.719 609.527,347.655 609.541,347.615 609.554,347.582 \n",
+       "  609.568,347.55 609.581,347.519 609.595,347.469 609.608,347.431 609.621,347.399 609.635,347.342 609.648,347.284 609.662,347.236 609.675,347.146 609.689,347.058 \n",
+       "  609.702,346.968 609.715,346.904 609.729,346.854 609.742,346.811 609.756,346.823 609.769,346.824 609.782,346.786 609.796,346.735 609.809,346.673 609.823,346.61 \n",
+       "  609.836,346.552 609.849,346.477 609.863,346.396 609.876,346.326 609.89,346.26 609.903,346.18 609.916,346.156 609.93,346.133 609.943,346.111 609.956,346.143 \n",
+       "  609.97,346.177 609.983,346.209 609.997,346.209 610.01,346.183 610.023,346.188 610.037,346.196 610.05,346.195 610.063,346.19 610.077,346.195 610.09,346.219 \n",
+       "  610.103,346.227 610.117,346.267 610.13,346.305 610.143,346.353 610.157,346.421 610.17,346.472 610.183,346.539 610.197,346.587 610.21,346.585 610.223,346.591 \n",
+       "  610.237,346.601 610.25,346.609 610.263,346.592 610.276,346.568 610.29,346.555 610.303,346.541 610.316,346.574 610.33,346.596 610.343,346.617 610.356,346.67 \n",
+       "  610.369,346.702 610.383,346.733 610.396,346.736 610.409,346.747 610.423,346.768 610.436,346.775 610.449,346.772 610.462,346.784 610.476,346.771 610.489,346.76 \n",
+       "  610.502,346.748 610.515,346.696 610.529,346.69 610.542,346.681 610.555,346.695 610.568,346.664 610.582,346.676 610.595,346.711 610.608,346.729 610.621,346.74 \n",
+       "  610.634,346.731 610.648,346.712 610.661,346.694 610.674,346.647 610.687,346.613 610.701,346.593 610.714,346.59 610.727,346.585 610.74,346.569 610.753,346.554 \n",
+       "  610.767,346.544 610.78,346.517 610.793,346.466 610.806,346.423 610.819,346.392 610.833,346.354 610.846,346.299 610.859,346.249 610.872,346.197 610.885,346.144 \n",
+       "  610.898,346.096 610.912,346.029 610.925,345.938 610.938,345.868 610.951,345.82 610.964,345.804 610.977,345.788 610.991,345.779 611.004,345.776 611.017,345.762 \n",
+       "  611.03,345.755 611.043,345.734 611.056,345.726 611.069,345.732 611.082,345.737 611.096,345.752 611.109,345.785 611.122,345.815 611.135,345.85 611.148,345.848 \n",
+       "  611.161,345.852 611.174,345.854 611.187,345.892 611.201,345.92 611.214,345.93 611.227,345.962 611.24,345.993 611.253,346.041 611.266,346.086 611.279,346.16 \n",
+       "  611.292,346.189 611.305,346.206 611.318,346.218 611.331,346.251 611.345,346.277 611.358,346.293 611.371,346.331 611.384,346.349 611.397,346.378 611.41,346.42 \n",
+       "  611.423,346.471 611.436,346.528 611.449,346.618 611.462,346.715 611.475,346.836 611.488,346.944 611.501,347.034 611.514,347.143 611.527,347.269 611.54,347.403 \n",
+       "  611.553,347.506 611.566,347.642 611.58,347.803 611.593,347.938 611.606,348.08 611.619,348.226 611.632,348.342 611.645,348.452 611.658,348.541 611.671,348.624 \n",
+       "  611.684,348.729 611.697,348.845 611.71,348.945 611.723,349.028 611.736,349.093 611.749,349.169 611.762,349.273 611.775,349.365 611.788,349.433 611.801,349.558 \n",
+       "  611.814,349.635 611.827,349.667 611.84,349.726 611.853,349.78 611.866,349.823 611.878,349.842 611.891,349.863 611.904,349.873 611.917,349.869 611.93,349.879 \n",
+       "  611.943,349.871 611.956,349.876 611.969,349.867 611.982,349.888 611.995,349.899 612.008,349.884 612.021,349.872 612.034,349.881 612.047,349.882 612.06,349.891 \n",
+       "  612.073,349.885 612.086,349.894 612.099,349.934 612.111,349.994 612.124,350.025 612.137,350.019 612.15,350.023 612.163,350.025 612.176,350.028 612.189,350.076 \n",
+       "  612.202,350.123 612.215,350.164 612.228,350.223 612.241,350.241 612.318,350.251 612.331,350.253 612.344,350.255 612.369,350.256 612.382,350.23 612.395,350.213 \n",
+       "  612.408,350.188 612.421,350.178 612.434,350.162 612.447,350.209 612.459,350.25 612.703,350.26 612.716,350.184 612.729,350.117 612.742,350.071 612.754,349.998 \n",
+       "  612.767,349.953 612.78,349.9 612.793,349.862 612.805,349.819 612.818,349.744 612.831,349.669 612.844,349.588 612.857,349.514 612.869,349.467 612.882,349.469 \n",
+       "  612.895,349.468 612.908,349.509 612.92,349.573 612.933,349.637 612.946,349.7 612.959,349.74 612.971,349.745 612.984,349.754 612.997,349.799 613.01,349.819 \n",
+       "  613.022,349.851 613.035,349.863 613.048,349.894 613.061,349.886 613.073,349.899 613.086,349.883 613.099,349.888 613.111,349.839 613.124,349.807 613.137,349.788 \n",
+       "  613.15,349.783 613.162,349.757 613.175,349.747 613.188,349.741 613.2,349.722 613.213,349.698 613.226,349.63 613.239,349.604 613.251,349.597 613.264,349.592 \n",
+       "  613.277,349.59 613.289,349.576 613.302,349.599 613.315,349.652 613.327,349.699 613.34,349.727 613.353,349.766 613.365,349.8 613.378,349.814 613.391,349.828 \n",
+       "  613.403,349.802 613.416,349.791 613.429,349.757 613.441,349.75 613.454,349.763 613.467,349.789 613.479,349.814 613.492,349.833 613.505,349.813 613.517,349.78 \n",
+       "  613.53,349.712 613.542,349.668 613.555,349.609 613.568,349.527 613.58,349.43 613.593,349.33 613.606,349.23 613.618,349.106 613.631,348.969 613.643,348.849 \n",
+       "  613.656,348.668 613.669,348.486 613.681,348.332 613.694,348.161 613.707,347.997 613.719,347.852 613.732,347.717 613.744,347.554 613.757,347.433 613.769,347.332 \n",
+       "  613.782,347.226 613.795,347.117 613.807,347.027 613.82,346.942 613.832,346.878 613.845,346.829 613.858,346.807 613.87,346.82 613.883,346.829 613.895,346.851 \n",
+       "  613.908,346.876 613.92,346.899 613.933,346.916 613.946,346.905 613.958,346.905 613.971,346.919 613.983,346.921 613.996,346.948 614.008,346.943 614.021,346.977 \n",
+       "  614.033,347.031 614.046,347.126 614.058,347.209 614.071,347.277 614.083,347.314 614.096,347.378 614.109,347.445 614.121,347.489 614.134,347.499 614.146,347.529 \n",
+       "  614.159,347.561 614.171,347.613 614.184,347.687 614.196,347.788 614.209,347.858 614.221,347.938 614.234,348 614.246,348.079 614.259,348.126 614.271,348.138 \n",
+       "  614.284,348.122 614.296,348.12 614.309,348.094 614.321,348.08 614.334,348.071 614.346,348.084 614.358,348.063 614.371,348.05 614.383,348.016 614.396,347.95 \n",
+       "  614.408,347.87 614.421,347.834 614.433,347.812 614.446,347.803 614.458,347.776 614.471,347.728 614.483,347.655 614.496,347.554 614.508,347.448 614.52,347.356 \n",
+       "  614.533,347.242 614.545,347.121 614.558,346.942 614.57,346.784 614.583,346.63 614.595,346.463 614.607,346.275 614.62,346.085 614.632,345.921 614.645,345.75 \n",
+       "  614.657,345.621 614.67,345.48 614.682,345.313 614.694,345.169 614.707,345.09 614.719,345.003 614.732,344.916 614.744,344.824 614.756,344.728 614.769,344.656 \n",
+       "  614.781,344.566 614.794,344.46 614.806,344.363 614.818,344.267 614.831,344.162 614.843,344.04 614.855,343.943 614.868,343.892 614.88,343.831 614.893,343.801 \n",
+       "  614.905,343.774 614.917,343.767 614.93,343.759 614.942,343.731 614.954,343.695 614.967,343.65 614.979,343.596 614.991,343.517 615.004,343.473 615.016,343.396 \n",
+       "  615.029,343.306 615.041,343.216 615.053,343.146 615.066,343.084 615.078,343.02 615.09,342.983 615.103,342.953 615.115,342.934 615.127,342.915 615.14,342.941 \n",
+       "  615.152,342.952 615.164,342.984 615.176,343.027 615.189,343.08 615.201,343.143 615.213,343.226 615.226,343.275 615.238,343.275 615.25,343.281 615.263,343.301 \n",
+       "  615.275,343.274 615.287,343.264 615.3,343.282 615.312,343.33 615.324,343.372 615.336,343.415 615.349,343.476 615.361,343.574 615.373,343.664 615.386,343.787 \n",
+       "  615.398,343.917 615.41,344.066 615.422,344.219 615.435,344.388 615.447,344.531 615.459,344.67 615.471,344.769 615.484,344.867 615.496,344.957 615.508,345.037 \n",
+       "  615.52,345.065 615.533,345.02 615.545,344.978 615.557,344.933 615.569,344.896 615.582,344.844 615.594,344.795 615.606,344.748 615.618,344.73 615.631,344.695 \n",
+       "  615.643,344.63 615.655,344.573 615.667,344.518 615.679,344.458 615.692,344.41 615.704,344.344 615.716,344.281 615.728,344.199 615.74,344.134 615.753,344.078 \n",
+       "  615.765,344.034 615.777,344.02 615.789,344.016 615.801,344.046 615.814,344.064 615.826,344.124 615.838,344.163 615.85,344.219 615.862,344.279 615.875,344.358 \n",
+       "  615.887,344.418 615.899,344.489 615.911,344.597 615.923,344.702 615.935,344.787 615.948,344.897 615.96,345 615.972,345.084 615.984,345.17 615.996,345.283 \n",
+       "  616.008,345.395 616.021,345.503 616.033,345.611 616.045,345.719 616.057,345.818 616.069,345.886 616.081,345.978 616.093,346.064 616.106,346.198 616.118,346.364 \n",
+       "  616.13,346.553 616.142,346.744 616.154,346.922 616.166,347.101 616.178,347.29 616.191,347.504 616.203,347.741 616.215,347.959 616.227,348.177 616.239,348.418 \n",
+       "  616.251,348.679 616.263,348.917 616.275,349.141 616.287,349.373 616.3,349.624 616.312,349.845 616.324,350.057 616.336,350.228 623.598,350.262 623.609,350.007 \n",
+       "  623.619,349.775 623.63,349.521 623.641,349.272 623.652,349.042 623.662,348.843 623.673,348.612 623.684,348.404 623.695,348.234 623.706,348.052 623.716,347.85 \n",
+       "  623.727,347.667 623.738,347.478 623.749,347.306 623.759,347.09 623.77,346.887 623.781,346.653 623.792,346.399 623.802,346.193 623.813,345.992 623.824,345.811 \n",
+       "  623.835,345.695 623.845,345.58 623.856,345.465 623.867,345.305 623.878,345.14 623.888,344.915 623.899,344.684 623.91,344.485 623.921,344.284 623.931,344.056 \n",
+       "  623.942,343.8 623.953,343.534 623.964,343.286 623.974,343.039 623.985,342.789 623.996,342.565 624.007,342.356 624.017,342.137 624.028,341.91 624.039,341.672 \n",
+       "  624.049,341.443 624.06,341.252 624.071,341.084 624.082,340.932 624.092,340.807 624.103,340.706 624.114,340.592 624.124,340.463 624.135,340.336 624.146,340.212 \n",
+       "  624.156,340.118 624.167,340.079 624.178,340.066 624.189,340.043 624.199,340.008 624.21,339.933 624.221,339.847 624.231,339.772 624.242,339.695 624.253,339.616 \n",
+       "  624.263,339.538 624.274,339.459 624.285,339.363 624.295,339.284 624.306,339.211 624.317,339.174 624.327,339.179 624.338,339.139 624.349,339.102 624.359,339.066 \n",
+       "  624.37,339.06 624.381,339.074 624.391,339.123 624.402,339.16 624.413,339.196 624.423,339.219 624.434,339.221 624.445,339.254 624.455,339.256 624.466,339.274 \n",
+       "  624.477,339.274 624.487,339.267 624.498,339.252 624.509,339.232 624.519,339.194 624.53,339.149 624.54,339.142 624.551,339.16 624.562,339.212 624.572,339.231 \n",
+       "  624.583,339.267 624.594,339.301 624.604,339.35 624.615,339.384 624.625,339.421 624.636,339.438 624.647,339.49 624.657,339.52 624.668,339.552 624.679,339.601 \n",
+       "  624.689,339.657 624.7,339.71 624.71,339.76 624.721,339.861 624.732,339.952 624.742,340.049 624.753,340.189 624.763,340.307 624.774,340.406 624.785,340.489 \n",
+       "  624.795,340.562 624.806,340.62 624.816,340.676 624.827,340.756 624.837,340.85 624.848,340.927 624.859,340.992 624.869,341.063 624.88,341.099 624.89,341.1 \n",
+       "  624.901,341.077 624.912,341.067 624.922,341.025 624.933,341.027 624.943,340.977 624.954,340.944 624.964,340.921 624.975,340.903 624.986,340.884 624.996,340.846 \n",
+       "  625.007,340.832 625.017,340.79 625.028,340.739 625.038,340.653 625.049,340.565 625.059,340.472 625.07,340.426 625.08,340.393 625.091,340.385 625.102,340.354 \n",
+       "  625.112,340.324 625.123,340.282 625.133,340.204 625.144,340.127 625.154,340.06 625.165,340.016 625.175,339.969 625.186,339.929 625.196,339.904 625.207,339.876 \n",
+       "  625.217,339.878 625.228,339.869 625.238,339.873 625.249,339.888 625.259,339.956 625.27,340.031 625.281,340.11 625.291,340.14 625.302,340.183 625.312,340.246 \n",
+       "  625.323,340.293 625.333,340.364 625.344,340.449 625.354,340.519 625.365,340.607 625.375,340.699 625.386,340.803 625.396,340.921 625.407,341.071 625.417,341.243 \n",
+       "  625.427,341.455 625.438,341.664 625.448,341.871 625.459,342.048 625.469,342.241 625.48,342.413 625.49,342.561 625.501,342.691 625.511,342.786 625.522,342.883 \n",
+       "  625.532,343.005 625.543,343.149 625.553,343.31 625.564,343.488 625.574,343.633 625.585,343.751 625.595,343.848 625.606,343.964 625.616,344.094 625.626,344.23 \n",
+       "  625.637,344.353 625.647,344.452 625.658,344.535 625.668,344.609 625.679,344.686 625.689,344.783 625.7,344.888 625.71,345.018 625.72,345.153 625.731,345.265 \n",
+       "  625.741,345.332 625.752,345.417 625.762,345.488 625.773,345.528 625.783,345.604 625.793,345.595 625.804,345.596 625.814,345.619 625.825,345.617 625.835,345.618 \n",
+       "  625.846,345.599 625.856,345.595 625.866,345.619 625.877,345.637 625.887,345.617 625.898,345.66 625.908,345.706 625.918,345.758 625.929,345.822 625.939,345.891 \n",
+       "  625.95,345.984 625.96,346.093 625.971,346.223 625.981,346.357 625.991,346.506 626.002,346.646 626.012,346.792 626.022,346.904 626.033,347.015 626.043,347.141 \n",
+       "  626.054,347.241 626.064,347.345 626.074,347.437 626.085,347.518 626.095,347.603 626.106,347.677 626.116,347.774 626.126,347.884 626.137,347.97 626.147,348.108 \n",
+       "  626.157,348.231 626.168,348.337 626.178,348.443 626.188,348.556 626.199,348.656 626.209,348.775 626.22,348.919 626.23,349.067 626.24,349.187 626.251,349.304 \n",
+       "  626.261,349.427 626.271,349.553 626.282,349.713 626.292,349.916 626.302,350.064 626.313,350.223 630.331,350.217 630.341,350.044 630.35,349.91 630.36,349.76 \n",
+       "  630.37,349.589 630.379,349.446 630.389,349.283 630.399,349.134 630.409,349.012 630.418,348.874 630.428,348.761 630.438,348.626 630.447,348.499 630.457,348.35 \n",
+       "  630.467,348.212 630.476,348.077 630.486,347.967 630.496,347.839 630.505,347.699 630.515,347.547 630.525,347.347 630.535,347.151 630.544,346.952 630.554,346.739 \n",
+       "  630.564,346.518 630.573,346.308 630.583,346.084 630.593,345.85 630.602,345.658 630.612,345.474 630.622,345.27 630.631,345.064 630.641,344.838 630.651,344.636 \n",
+       "  630.66,344.437 630.67,344.261 630.68,344.044 630.689,343.837 630.699,343.598 630.709,343.361 630.718,343.128 630.728,342.866 630.737,342.627 630.747,342.404 \n",
+       "  630.757,342.189 630.766,341.921 630.776,341.636 630.786,341.349 630.795,341.064 630.805,340.752 630.815,340.463 630.824,340.187 630.834,339.936 630.844,339.641 \n",
+       "  630.853,339.328 630.863,338.988 630.872,338.621 630.882,338.272 630.892,337.922 630.901,337.593 630.911,337.337 630.921,337.072 630.93,336.806 630.94,336.545 \n",
+       "  630.949,336.26 630.959,335.99 630.969,335.75 630.978,335.507 630.988,335.247 630.998,334.984 631.007,334.721 631.017,334.484 631.026,334.272 631.036,334.079 \n",
+       "  631.046,333.915 631.055,333.779 631.065,333.602 631.074,333.43 631.084,333.225 631.094,333.027 631.103,332.877 631.113,332.757 631.122,332.617 631.132,332.528 \n",
+       "  631.142,332.432 631.151,332.349 631.161,332.31 631.17,332.244 631.18,332.205 631.189,332.143 631.199,332.104 631.209,332.031 631.218,331.976 631.228,331.968 \n",
+       "  631.237,331.936 631.247,331.87 631.256,331.801 631.266,331.768 631.276,331.732 631.285,331.681 631.295,331.657 631.304,331.645 631.314,331.673 631.323,331.67 \n",
+       "  631.333,331.675 631.343,331.701 631.352,331.76 631.362,331.814 631.371,331.902 631.381,331.977 631.39,332.024 631.4,332.042 631.409,332.053 631.419,332.075 \n",
+       "  631.429,332.09 631.438,332.102 631.448,332.103 631.457,332.136 631.467,332.151 631.476,332.151 631.486,332.114 631.495,332.088 631.505,332.061 631.514,332.046 \n",
+       "  631.524,332.058 631.533,332.103 631.543,332.172 631.552,332.233 631.562,332.343 631.572,332.45 631.581,332.563 631.591,332.714 631.6,332.852 631.61,332.989 \n",
+       "  631.619,333.147 631.629,333.306 631.638,333.414 631.648,333.501 631.657,333.571 631.667,333.705 631.676,333.796 631.686,333.946 631.695,334.089 631.705,334.186 \n",
+       "  631.714,334.3 631.724,334.407 631.733,334.531 631.743,334.624 631.752,334.743 631.762,334.863 631.771,334.958 631.781,335.025 631.79,335.113 631.8,335.192 \n",
+       "  631.809,335.321 631.819,335.427 631.828,335.522 631.838,335.583 631.847,335.673 631.857,335.762 631.866,335.812 631.876,335.836 631.885,335.879 631.895,335.946 \n",
+       "  631.904,335.996 631.914,336.071 631.923,336.139 631.932,336.221 631.942,336.265 631.951,336.377 631.961,336.464 631.97,336.571 631.98,336.692 631.989,336.817 \n",
+       "  631.999,336.951 632.008,337.11 632.018,337.266 632.027,337.42 632.037,337.541 632.046,337.629 632.055,337.665 632.065,337.722 632.074,337.801 632.084,337.954 \n",
+       "  632.093,338.071 632.103,338.167 632.112,338.274 632.122,338.355 632.131,338.427 632.14,338.549 632.15,338.684 632.159,338.829 632.169,338.99 632.178,339.162 \n",
+       "  632.188,339.35 632.197,339.505 632.207,339.679 632.216,339.823 632.225,339.944 632.235,340.06 632.244,340.153 632.254,340.242 632.263,340.338 632.272,340.459 \n",
+       "  632.282,340.597 632.291,340.726 632.301,340.898 632.31,341.104 632.32,341.292 632.329,341.471 632.338,341.657 632.348,341.831 632.357,342.001 632.367,342.191 \n",
+       "  632.376,342.372 632.385,342.559 632.395,342.756 632.404,342.947 632.414,343.153 632.423,343.328 632.432,343.476 632.442,343.598 632.451,343.717 632.461,343.841 \n",
+       "  632.47,344.035 632.479,344.222 632.489,344.407 632.498,344.56 632.508,344.649 632.517,344.683 632.526,344.677 632.536,344.737 632.545,344.791 632.554,344.873 \n",
+       "  632.564,344.982 632.573,345.09 632.583,345.134 632.592,345.144 632.601,345.178 632.611,345.212 632.62,345.243 632.629,345.314 632.639,345.406 632.648,345.488 \n",
+       "  632.658,345.579 632.667,345.646 632.676,345.74 632.686,345.831 632.695,345.945 632.704,346.046 632.714,346.207 632.723,346.385 632.732,346.576 632.742,346.761 \n",
+       "  632.751,346.965 632.76,347.183 632.77,347.388 632.779,347.563 632.789,347.697 632.798,347.845 632.807,347.971 632.817,348.1 632.826,348.222 632.835,348.323 \n",
+       "  632.845,348.427 632.854,348.536 632.863,348.677 632.873,348.846 632.882,349.014 632.891,349.164 632.901,349.29 632.91,349.417 632.919,349.521 632.929,349.605 \n",
+       "  632.938,349.728 632.947,349.892 632.956,349.997 632.966,350.114 632.975,350.223 633.882,350.212 633.891,350.1 633.9,350.004 633.909,349.867 633.918,349.724 \n",
+       "  633.928,349.54 633.937,349.379 633.946,349.175 633.955,348.994 633.964,348.774 633.974,348.586 633.983,348.382 633.992,348.185 634.001,347.99 634.01,347.782 \n",
+       "  634.019,347.562 634.029,347.322 634.038,347.112 634.047,346.889 634.056,346.637 634.065,346.365 634.074,346.064 634.084,345.773 634.093,345.458 634.102,345.18 \n",
+       "  634.111,344.905 634.12,344.67 634.129,344.445 634.138,344.241 634.148,344.036 634.157,343.855 634.166,343.687 634.175,343.531 634.184,343.391 634.193,343.244 \n",
+       "  634.202,343.094 634.212,342.94 634.221,342.779 634.23,342.557 634.239,342.339 634.248,342.139 634.257,341.938 634.266,341.798 634.276,341.668 634.285,341.552 \n",
+       "  634.294,341.39 634.303,341.202 634.312,341.032 634.321,340.865 634.33,340.714 634.339,340.584 634.348,340.468 634.358,340.403 634.367,340.351 634.376,340.295 \n",
+       "  634.385,340.277 634.394,340.197 634.403,340.084 634.412,339.993 634.421,339.904 634.431,339.823 634.44,339.753 634.449,339.659 634.458,339.554 634.467,339.417 \n",
+       "  634.476,339.264 634.485,339.095 634.494,338.909 634.503,338.691 634.512,338.47 634.522,338.265 634.531,338.016 634.54,337.749 634.549,337.509 634.558,337.238 \n",
+       "  634.567,336.94 634.576,336.651 634.585,336.389 634.594,336.168 634.603,335.999 634.612,335.828 634.621,335.682 634.631,335.505 634.64,335.339 634.649,335.203 \n",
+       "  634.658,335.096 634.667,334.967 634.676,334.821 634.685,334.683 634.694,334.516 634.703,334.323 634.712,334.132 634.721,333.956 634.73,333.821 634.739,333.687 \n",
+       "  634.748,333.55 634.758,333.353 634.767,333.138 634.776,332.947 634.785,332.751 634.794,332.577 634.803,332.35 634.812,332.133 634.821,331.915 634.83,331.719 \n",
+       "  634.839,331.533 634.848,331.377 634.857,331.174 634.866,331.007 634.875,330.895 634.884,330.77 634.893,330.721 634.902,330.631 634.911,330.55 634.92,330.48 \n",
+       "  634.929,330.439 634.938,330.437 634.948,330.501 634.957,330.558 634.966,330.639 634.975,330.709 634.984,330.753 634.993,330.796 635.002,330.832 635.011,330.894 \n",
+       "  635.02,330.965 635.029,331.047 635.038,331.11 635.047,331.159 635.056,331.29 635.065,331.421 635.074,331.536 635.083,331.648 635.092,331.762 635.101,331.852 \n",
+       "  635.11,331.908 635.119,331.966 635.128,331.996 635.137,331.998 635.146,331.973 635.155,331.962 635.164,331.992 635.173,332.043 635.182,332.112 635.191,332.184 \n",
+       "  635.2,332.214 635.209,332.268 635.218,332.331 635.227,332.354 635.236,332.394 635.245,332.438 635.254,332.459 635.263,332.487 635.272,332.546 635.281,332.574 \n",
+       "  635.29,332.631 635.299,332.701 635.308,332.774 635.317,332.884 635.326,333.018 635.335,333.127 635.344,333.21 635.353,333.284 635.362,333.38 635.371,333.486 \n",
+       "  635.38,333.618 635.389,333.712 635.398,333.845 635.407,333.975 635.416,334.094 635.425,334.186 635.433,334.224 635.442,334.268 635.451,334.296 635.46,334.344 \n",
+       "  635.469,334.381 635.478,334.434 635.487,334.446 635.496,334.47 635.505,334.497 635.514,334.49 635.523,334.458 635.532,334.426 635.541,334.421 635.55,334.391 \n",
+       "  635.559,334.363 635.568,334.332 635.577,334.277 635.586,334.234 635.595,334.218 635.604,334.206 635.613,334.234 635.621,334.228 635.63,334.206 635.639,334.171 \n",
+       "  635.648,334.139 635.657,334.063 635.666,333.94 635.675,333.834 635.684,333.784 635.693,333.717 635.702,333.602 635.711,333.514 635.72,333.411 635.729,333.307 \n",
+       "  635.738,333.188 635.746,333.076 635.755,332.98 635.764,332.912 635.773,332.837 635.782,332.757 635.791,332.672 635.8,332.582 635.809,332.517 635.818,332.433 \n",
+       "  635.827,332.378 635.836,332.305 635.845,332.24 635.853,332.195 635.862,332.179 635.871,332.151 635.88,332.105 635.889,332.065 635.898,331.971 635.907,331.861 \n",
+       "  635.916,331.774 635.925,331.709 635.934,331.684 635.942,331.678 635.951,331.647 635.96,331.628 635.969,331.649 635.978,331.687 635.987,331.727 635.996,331.824 \n",
+       "  636.005,331.943 636.014,332.082 636.022,332.218 636.031,332.317 636.04,332.408 636.049,332.497 636.058,332.599 636.067,332.726 636.076,332.841 636.085,332.957 \n",
+       "  636.093,333.058 636.102,333.152 636.111,333.263 636.12,333.387 636.129,333.558 636.138,333.692 636.147,333.833 636.156,334.007 636.164,334.147 636.173,334.262 \n",
+       "  636.182,334.317 636.191,334.341 636.2,334.413 636.209,334.486 636.218,334.499 636.226,334.546 636.235,334.589 636.244,334.6 636.253,334.581 636.262,334.514 \n",
+       "  636.271,334.436 636.28,334.332 636.288,334.245 636.297,334.195 636.306,334.171 636.315,334.14 636.324,334.087 636.333,334.023 636.341,334.023 636.35,334.023 \n",
+       "  636.359,334.024 636.368,334.002 636.377,334.021 636.386,334.06 636.394,334.082 636.403,334.072 636.412,334.047 636.421,334.077 636.43,334.062 636.439,334.054 \n",
+       "  636.447,334.045 636.456,334.05 636.465,334.098 636.474,334.118 636.483,334.174 636.491,334.225 636.5,334.251 636.509,334.225 636.518,334.256 636.527,334.302 \n",
+       "  636.536,334.332 636.544,334.423 636.553,334.541 636.562,334.666 636.571,334.78 636.58,334.893 636.588,334.984 636.597,335.08 636.606,335.181 636.615,335.295 \n",
+       "  636.624,335.386 636.632,335.471 636.641,335.583 636.65,335.692 636.659,335.801 636.668,335.945 636.676,336.023 636.685,336.081 636.694,336.131 636.703,336.206 \n",
+       "  636.712,336.335 636.72,336.436 636.729,336.561 636.738,336.727 636.747,336.92 636.755,337.133 636.764,337.336 636.773,337.535 636.782,337.787 636.791,338.045 \n",
+       "  636.799,338.262 636.808,338.497 636.817,338.669 636.826,338.872 636.834,339.047 636.843,339.199 636.852,339.409 636.861,339.622 636.87,339.817 636.878,340.022 \n",
+       "  636.887,340.199 636.896,340.352 636.905,340.459 636.913,340.568 636.922,340.662 636.931,340.749 636.94,340.851 636.948,340.899 636.957,340.95 636.966,341.01 \n",
+       "  636.975,341.092 636.983,341.186 636.992,341.295 637.001,341.363 637.01,341.393 637.018,341.408 637.027,341.408 637.036,341.402 637.045,341.35 637.053,341.303 \n",
+       "  637.062,341.275 637.071,341.296 637.08,341.32 637.088,341.311 637.097,341.346 637.106,341.363 637.114,341.39 637.123,341.411 637.132,341.453 637.141,341.538 \n",
+       "  637.149,341.642 637.158,341.771 637.167,341.847 637.176,341.952 637.184,342.016 637.193,342.089 637.202,342.153 637.21,342.227 637.219,342.277 637.228,342.324 \n",
+       "  637.237,342.366 637.245,342.382 637.254,342.334 637.263,342.294 637.271,342.259 637.28,342.232 637.289,342.223 637.298,342.222 637.306,342.211 637.315,342.199 \n",
+       "  637.324,342.192 637.332,342.141 637.341,342.141 637.35,342.113 637.359,342.104 637.367,342.063 637.376,342.082 637.385,342.084 637.393,342.08 637.402,342.054 \n",
+       "  637.411,341.98 637.419,341.918 637.428,341.883 637.437,341.873 637.445,341.855 637.454,341.804 637.463,341.758 637.471,341.741 637.48,341.692 637.489,341.613 \n",
+       "  637.498,341.53 637.506,341.463 637.515,341.414 637.524,341.35 637.532,341.279 637.541,341.207 637.55,341.154 637.558,341.096 637.567,341.016 637.576,340.97 \n",
+       "  637.584,340.955 637.593,340.964 637.602,341.002 637.61,341.057 637.619,341.102 637.628,341.16 637.636,341.2 637.645,341.268 637.654,341.346 637.662,341.403 \n",
+       "  637.671,341.46 637.68,341.526 637.688,341.586 637.697,341.658 637.705,341.677 637.714,341.738 637.723,341.812 637.731,341.919 637.74,341.994 637.749,342.088 \n",
+       "  637.757,342.163 637.766,342.246 637.775,342.317 637.783,342.361 637.792,342.397 637.801,342.429 637.809,342.479 637.818,342.504 637.827,342.531 637.835,342.544 \n",
+       "  637.844,342.549 637.852,342.554 637.861,342.576 637.87,342.584 637.878,342.632 637.887,342.685 637.896,342.751 637.904,342.83 637.913,342.892 637.921,342.97 \n",
+       "  637.93,343.061 637.939,343.137 637.947,343.199 637.956,343.295 637.965,343.369 637.973,343.431 637.982,343.473 637.99,343.536 637.999,343.62 638.008,343.708 \n",
+       "  638.016,343.747 638.025,343.81 638.033,343.895 638.042,343.966 638.051,343.986 638.059,344.04 638.068,344.101 638.076,344.126 638.085,344.194 638.094,344.24 \n",
+       "  638.102,344.269 638.111,344.349 638.119,344.409 638.128,344.474 638.137,344.517 638.145,344.585 638.154,344.678 638.162,344.749 638.171,344.845 638.18,344.937 \n",
+       "  638.188,345.049 638.197,345.156 638.205,345.198 638.214,345.216 638.222,345.22 638.231,345.21 638.24,345.223 638.248,345.247 638.257,345.321 638.265,345.37 \n",
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+       "  638.445,347.45 638.454,347.543 638.462,347.651 638.471,347.774 638.479,347.919 638.488,348.088 638.497,348.253 638.505,348.411 638.514,348.523 638.522,348.651 \n",
+       "  638.531,348.797 638.539,348.917 638.548,349.042 638.556,349.121 638.565,349.233 638.573,349.335 638.582,349.397 638.59,349.468 638.599,349.541 638.607,349.611 \n",
+       "  638.616,349.707 638.625,349.836 638.633,349.991 638.642,350.115 639.193,350.156 639.202,349.804 639.21,349.508 639.219,349.241 639.227,348.976 639.236,348.76 \n",
+       "  639.244,348.551 639.252,348.287 639.261,348.033 639.269,347.762 639.278,347.471 639.286,347.174 639.295,346.841 639.303,346.514 639.312,346.242 639.32,345.954 \n",
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+       "  639.413,343.598 639.421,343.42 639.43,343.242 639.438,343.084 639.446,342.934 639.455,342.773 639.463,342.616 639.472,342.467 639.48,342.273 639.488,342.053 \n",
+       "  639.497,341.833 639.505,341.634 639.514,341.49 639.522,341.344 639.531,341.192 639.539,341.036 639.547,340.919 639.556,340.782 639.564,340.668 639.573,340.491 \n",
+       "  639.581,340.309 639.589,340.115 639.598,339.907 639.606,339.671 639.615,339.45 639.623,339.183 639.631,338.944 639.64,338.715 639.648,338.519 639.657,338.314 \n",
+       "  639.665,338.127 639.673,337.949 639.682,337.758 639.69,337.51 639.698,337.31 639.707,337.109 639.715,336.876 639.724,336.643 639.732,336.395 639.74,336.082 \n",
+       "  639.749,335.791 639.757,335.495 639.766,335.178 639.774,334.898 639.782,334.646 639.791,334.488 639.799,334.292 639.807,334.124 639.816,333.961 639.824,333.842 \n",
+       "  639.832,333.733 639.841,333.608 639.849,333.524 639.858,333.466 639.866,333.389 639.874,333.248 639.883,333.134 639.891,333.054 639.899,332.957 639.908,332.877 \n",
+       "  639.916,332.82 639.924,332.735 639.933,332.675 639.941,332.616 639.95,332.557 639.958,332.523 639.966,332.496 639.975,332.456 639.983,332.402 639.991,332.381 \n",
+       "  640,332.339 640.008,332.292 640.016,332.297 640.025,332.3 640.033,332.331 640.041,332.402 640.05,332.474 640.058,332.509 640.066,332.548 640.075,332.629 \n",
+       "  640.083,332.751 640.091,332.83 640.1,332.919 640.108,332.988 640.116,333.051 640.125,333.154 640.133,333.217 640.141,333.292 640.15,333.36 640.158,333.472 \n",
+       "  640.166,333.585 640.175,333.758 640.183,333.865 640.191,333.988 640.2,334.156 640.208,334.345 640.216,334.558 640.225,334.797 640.233,335.064 640.241,335.339 \n",
+       "  640.25,335.612 640.258,335.858 640.266,336.092 640.274,336.347 640.283,336.544 640.291,336.764 640.299,337.028 640.308,337.336 640.316,337.629 640.324,337.872 \n",
+       "  640.333,338.093 640.341,338.284 640.349,338.495 640.357,338.767 640.366,339.027 640.374,339.369 640.382,339.632 640.391,339.892 640.399,340.194 640.407,340.498 \n",
+       "  640.416,340.8 640.424,341.091 640.432,341.362 640.44,341.691 640.449,341.994 640.457,342.28 640.465,342.579 640.474,342.82 640.482,343.092 640.49,343.394 \n",
+       "  640.498,343.695 640.507,344.015 640.515,344.392 640.523,344.717 640.532,344.992 640.54,345.289 640.548,345.587 640.556,345.805 640.565,346.033 640.573,346.285 \n",
+       "  640.581,346.501 640.589,346.781 640.598,346.961 640.606,347.123 640.614,347.243 640.623,347.386 640.631,347.535 640.639,347.687 640.647,347.795 640.656,347.917 \n",
+       "  640.664,348.066 640.672,348.19 640.68,348.328 640.689,348.46 640.697,348.595 640.705,348.728 640.713,348.908 640.722,349.026 640.73,349.167 640.738,349.296 \n",
+       "  640.746,349.419 640.755,349.525 640.763,349.692 640.771,349.861 640.779,350.038 640.788,350.179 641.198,350.173 641.207,350.012 641.215,349.846 641.223,349.697 \n",
+       "  641.231,349.538 641.239,349.35 641.248,349.143 641.256,348.915 641.264,348.729 641.272,348.546 641.28,348.403 641.288,348.223 641.297,348.008 641.305,347.796 \n",
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+       "  641.639,334.874 641.647,334.702 641.655,334.516 641.664,334.294 641.672,334.11 641.68,333.94 641.688,333.71 641.696,333.47 641.704,333.215 641.712,332.968 \n",
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+       "  641.802,331.158 641.81,331.034 641.818,330.908 641.826,330.722 641.834,330.572 641.842,330.412 641.85,330.231 641.858,330.081 641.867,329.911 641.875,329.807 \n",
+       "  641.883,329.75 641.891,329.661 641.899,329.521 641.907,329.387 641.915,329.245 641.923,329.122 641.931,328.936 641.939,328.748 641.948,328.572 641.956,328.35 \n",
+       "  641.964,328.146 641.972,327.915 641.98,327.74 641.988,327.555 641.996,327.309 642.004,327.118 642.012,326.863 642.02,326.641 642.028,326.406 642.037,326.159 \n",
+       "  642.045,325.929 642.053,325.727 642.061,325.512 642.069,325.331 642.077,325.177 642.085,325.009 642.093,324.819 642.101,324.612 642.109,324.398 642.117,324.141 \n",
+       "  642.125,323.865 642.133,323.624 642.142,323.361 642.15,323.13 642.158,322.882 642.166,322.666 642.174,322.456 642.182,322.261 642.19,322.066 642.198,321.918 \n",
+       "  642.206,321.817 642.214,321.75 642.222,321.705 642.23,321.671 642.238,321.587 642.246,321.494 642.254,321.431 642.262,321.389 642.271,321.319 642.279,321.218 \n",
+       "  642.287,321.115 642.295,321.074 642.303,321.062 642.311,321.084 642.319,321.103 642.327,321.164 642.335,321.242 642.343,321.287 642.351,321.306 642.359,321.317 \n",
+       "  642.367,321.271 642.375,321.228 642.383,321.164 642.391,321.152 642.399,321.126 642.407,321.135 642.415,321.152 642.423,321.17 642.431,321.195 642.439,321.216 \n",
+       "  642.447,321.302 642.455,321.328 642.464,321.354 642.472,321.42 642.48,321.485 642.488,321.538 642.496,321.564 642.504,321.573 642.512,321.559 642.52,321.583 \n",
+       "  642.528,321.624 642.536,321.717 642.544,321.767 642.552,321.848 642.56,321.852 642.568,321.807 642.576,321.755 642.584,321.715 642.592,321.719 642.6,321.763 \n",
+       "  642.608,321.769 642.616,321.8 642.624,321.829 642.632,321.781 642.64,321.771 642.648,321.658 642.656,321.543 642.664,321.414 642.672,321.298 642.68,321.196 \n",
+       "  642.688,321.126 642.696,321.014 642.704,320.93 642.712,320.844 642.72,320.806 642.728,320.803 642.736,320.831 642.744,320.878 642.752,320.893 642.76,320.898 \n",
+       "  642.768,320.903 642.776,320.968 642.784,321.034 642.792,321.151 642.8,321.298 642.808,321.458 642.816,321.614 642.824,321.77 642.832,321.964 642.84,322.168 \n",
+       "  642.848,322.386 642.856,322.542 642.864,322.723 642.872,322.911 642.88,323.131 642.888,323.342 642.896,323.57 642.904,323.769 642.912,323.924 642.92,324.077 \n",
+       "  642.928,324.212 642.936,324.323 642.943,324.44 642.951,324.594 642.959,324.775 642.967,324.982 642.975,325.21 642.983,325.487 642.991,325.787 642.999,326.103 \n",
+       "  643.007,326.446 643.015,326.769 643.023,327.051 643.031,327.299 643.039,327.576 643.047,327.84 643.055,328.042 643.063,328.157 643.071,328.264 643.079,328.36 \n",
+       "  643.087,328.481 643.095,328.637 643.103,328.817 643.111,328.998 643.119,329.131 643.127,329.284 643.134,329.434 643.142,329.511 643.15,329.606 643.158,329.67 \n",
+       "  643.166,329.744 643.174,329.86 643.182,329.997 643.19,330.109 643.198,330.158 643.206,330.191 643.214,330.22 643.222,330.27 643.23,330.261 643.238,330.243 \n",
+       "  643.246,330.208 643.254,330.239 643.261,330.303 643.269,330.355 643.277,330.331 643.285,330.276 643.293,330.259 643.301,330.268 643.309,330.315 643.317,330.345 \n",
+       "  643.325,330.331 643.333,330.341 643.341,330.338 643.349,330.387 643.357,330.459 643.364,330.488 643.372,330.508 643.38,330.512 643.388,330.525 643.396,330.594 \n",
+       "  643.404,330.645 643.412,330.685 643.42,330.75 643.428,330.841 643.436,330.966 643.444,331.038 643.452,331.097 643.459,331.146 643.467,331.2 643.475,331.227 \n",
+       "  643.483,331.312 643.491,331.361 643.499,331.441 643.507,331.587 643.515,331.745 643.523,331.836 643.531,331.977 643.538,332.132 643.546,332.323 643.554,332.474 \n",
+       "  643.562,332.631 643.57,332.783 643.578,332.951 643.586,333.13 643.594,333.306 643.602,333.469 643.609,333.595 643.617,333.757 643.625,333.921 643.633,334.112 \n",
+       "  643.641,334.33 643.649,334.572 643.657,334.861 643.665,335.156 643.673,335.486 643.68,335.795 643.688,336.078 643.696,336.369 643.704,336.67 643.712,336.949 \n",
+       "  643.72,337.238 643.728,337.552 643.736,337.845 643.743,338.137 643.751,338.46 643.759,338.783 643.767,339.129 643.775,339.456 643.783,339.789 643.791,340.069 \n",
+       "  643.798,340.35 643.806,340.633 643.814,340.898 643.822,341.195 643.83,341.505 643.838,341.841 643.846,342.144 643.853,342.468 643.861,342.761 643.869,343.081 \n",
+       "  643.877,343.401 643.885,343.637 643.893,343.911 643.901,344.191 643.908,344.496 643.916,344.834 643.924,345.18 643.932,345.469 643.94,345.803 643.948,346.12 \n",
+       "  643.956,346.454 643.963,346.814 643.971,347.119 643.979,347.423 643.987,347.706 643.995,348.01 644.003,348.324 644.01,348.616 644.018,348.92 644.026,349.221 \n",
+       "  644.034,349.548 644.042,349.845 644.05,350.138 647.924,350.075 647.931,349.769 647.939,349.449 647.946,349.127 647.954,348.805 647.961,348.512 647.968,348.297 \n",
+       "  647.976,348.078 647.983,347.954 647.99,347.717 647.998,347.479 648.005,347.251 648.013,347.102 648.02,346.906 648.027,346.738 648.035,346.551 648.042,346.271 \n",
+       "  648.049,345.998 648.057,345.766 648.064,345.534 648.071,345.344 648.079,345.172 648.086,345.028 648.093,344.879 648.101,344.724 648.108,344.63 648.115,344.62 \n",
+       "  648.123,344.602 648.13,344.583 648.138,344.634 648.145,344.636 648.152,344.65 648.16,344.665 648.167,344.609 648.174,344.565 648.182,344.501 648.189,344.387 \n",
+       "  648.196,344.235 648.204,344.043 648.211,343.84 648.218,343.666 648.226,343.541 648.233,343.448 648.24,343.331 648.248,343.257 648.255,343.18 648.262,343.048 \n",
+       "  648.27,342.936 648.277,342.853 648.284,342.782 648.292,342.792 648.299,342.782 648.306,342.901 648.314,343.081 648.321,343.228 648.328,343.364 648.336,343.527 \n",
+       "  648.343,343.806 648.35,344.046 648.358,344.251 648.365,344.493 648.372,344.78 648.379,345.087 648.387,345.373 648.394,345.667 648.401,345.935 648.409,346.216 \n",
+       "  648.416,346.512 648.423,346.875 648.431,347.24 648.438,347.644 648.445,348.048 648.453,348.443 648.46,348.857 648.467,349.291 648.475,349.75 648.482,350.113 \n",
+       "  648.773,350.03 648.781,349.766 648.788,349.491 648.795,349.165 648.803,348.886 648.81,348.688 648.817,348.543 648.824,348.421 648.832,348.273 648.839,348.149 \n",
+       "  648.846,348.023 648.853,347.853 648.861,347.632 648.868,347.484 648.875,347.283 648.882,347.109 648.89,346.856 648.897,346.619 648.904,346.353 648.912,346.121 \n",
+       "  648.919,345.881 648.926,345.684 648.933,345.468 648.941,345.276 648.948,345.05 648.955,344.82 648.962,344.596 648.97,344.352 648.977,344.132 648.984,343.908 \n",
+       "  648.991,343.688 648.999,343.435 649.006,343.203 649.013,342.957 649.02,342.797 649.028,342.647 649.035,342.5 649.042,342.384 649.049,342.253 649.057,342.121 \n",
+       "  649.064,341.989 649.071,341.839 649.078,341.718 649.085,341.58 649.093,341.382 649.1,341.169 649.107,340.979 649.114,340.847 649.122,340.681 649.129,340.507 \n",
+       "  649.136,340.285 649.143,340.077 649.151,339.865 649.158,339.665 649.165,339.478 649.172,339.343 649.18,339.211 649.187,339.111 649.194,338.976 649.201,338.858 \n",
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+       "  466.755,350.104 466.881,350.063 467.007,350.056 467.132,350.087 467.257,350.129 467.382,350.12 467.507,350.151 467.631,350.198 467.756,350.233 467.88,350.255 \n",
+       "  468.004,350.249 468.127,350.254 470.786,350.246 470.904,350.218 471.022,350.205 471.14,350.198 471.258,350.206 471.375,350.179 471.492,350.201 471.609,350.211 \n",
+       "  471.726,350.216 471.842,350.24 471.959,350.246 472.075,350.231 472.191,350.246 472.307,350.249 472.422,350.246 474.911,350.227 475.022,350.224 475.133,350.188 \n",
+       "  475.243,350.221 475.353,350.256 475.573,350.26 475.683,350.249 475.902,350.245 476.011,350.237 476.12,350.241 476.229,350.233 476.338,350.214 476.446,350.165 \n",
+       "  476.554,350.175 476.662,350.204 476.77,350.224 477.839,350.223 477.945,350.213 478.051,350.202 478.156,350.212 478.261,350.222 478.367,350.194 478.472,350.156 \n",
+       "  478.577,350.134 478.681,350.126 478.786,350.117 478.89,350.096 478.994,350.078 479.098,350.074 479.202,350.083 479.306,350.055 479.409,350.08 479.513,350.077 \n",
+       "  479.616,350.096 479.719,350.13 479.822,350.142 479.924,350.126 480.027,350.038 480.129,350.016 480.231,349.989 480.333,349.962 480.435,349.992 480.537,349.99 \n",
+       "  480.638,350.044 480.74,350.056 480.841,350.108 480.942,350.161 481.043,350.189 481.143,350.205 481.244,350.193 481.344,350.195 481.445,350.174 481.545,350.161 \n",
+       "  481.645,350.17 481.744,350.141 481.844,350.129 481.943,350.089 482.043,350.068 482.142,350.082 482.241,350.126 482.34,350.136 482.438,350.14 482.537,350.137 \n",
+       "  482.635,350.091 482.734,350.07 482.832,350.063 482.93,350.076 483.027,350.042 483.125,350.023 483.223,350.035 483.32,350.06 483.417,350.078 483.514,350.078 \n",
+       "  483.611,350.084 483.708,350.076 483.804,350.095 483.901,350.133 483.997,350.176 484.093,350.17 484.189,350.182 484.285,350.208 484.381,350.231 484.476,350.22 \n",
+       "  484.572,350.23 484.667,350.22 484.762,350.199 484.857,350.179 484.952,350.161 485.047,350.158 485.142,350.176 485.236,350.164 485.33,350.173 485.425,350.174 \n",
+       "  485.519,350.16 485.612,350.194 485.706,350.204 485.8,350.203 485.893,350.201 485.987,350.224 487.644,350.246 487.735,350.179 487.826,350.145 487.916,350.12 \n",
+       "  488.007,350.107 488.097,350.135 488.187,350.162 488.277,350.177 488.367,350.205 488.457,350.209 488.547,350.207 488.636,350.213 488.725,350.221 490.575,350.196 \n",
+       "  490.662,350.177 490.748,350.14 490.835,350.123 490.921,350.124 491.008,350.137 491.094,350.117 491.18,350.098 491.266,350.117 491.352,350.146 491.437,350.137 \n",
+       "  491.523,350.112 491.608,350.141 491.694,350.132 491.779,350.16 491.864,350.142 491.949,350.097 492.034,350.119 492.119,350.152 492.203,350.181 492.288,350.228 \n",
+       "  492.372,350.228 492.457,350.243 493.709,350.229 493.791,350.211 493.874,350.208 493.956,350.171 494.038,350.112 494.121,350.079 494.203,350.061 494.285,350.03 \n",
+       "  494.366,350.047 494.448,350.069 494.53,350.163 494.611,350.229 494.855,350.256 495.26,350.225 495.341,350.214 495.421,350.253 495.501,350.244 496.379,350.21 \n",
+       "  496.459,350.171 496.538,350.169 496.617,350.174 496.696,350.172 496.774,350.207 496.853,350.225 496.932,350.232 497.01,350.233 497.089,350.215 497.167,350.209 \n",
+       "  497.245,350.192 497.323,350.215 497.401,350.255 497.79,350.262 497.945,350.232 498.484,350.25 498.561,350.249 498.637,350.215 498.714,350.209 498.79,350.257 \n",
+       "  499.398,350.248 499.473,350.232 499.549,350.197 499.624,350.21 499.7,350.208 499.775,350.19 499.85,350.194 499.925,350.209 500,350.261 500.075,350.253 \n",
+       "  500.149,350.253 500.224,350.202 500.299,350.187 500.373,350.203 500.448,350.202 500.522,350.2 500.596,350.204 500.67,350.235 501.334,350.208 501.407,350.187 \n",
+       "  501.48,350.218 501.553,350.249 502.063,350.255 502.135,350.235 502.208,350.228 502.28,350.22 502.352,350.195 502.424,350.179 502.497,350.132 502.569,350.143 \n",
+       "  502.64,350.159 502.712,350.173 502.784,350.234 503.284,350.251 503.355,350.254 503.426,350.238 503.497,350.221 503.568,350.2 503.638,350.163 503.709,350.13 \n",
+       "  503.78,350.139 503.85,350.153 503.921,350.18 503.991,350.182 504.061,350.167 504.132,350.152 504.202,350.158 504.272,350.142 504.342,350.084 504.412,350.102 \n",
+       "  504.482,350.116 504.551,350.125 504.621,350.117 504.691,350.138 504.76,350.157 504.83,350.163 504.899,350.158 504.968,350.193 505.038,350.208 505.107,350.194 \n",
+       "  505.176,350.226 505.245,350.243 505.314,350.232 505.383,350.251 505.52,350.221 505.589,350.196 505.658,350.186 505.726,350.226 505.794,350.188 505.863,350.169 \n",
+       "  505.931,350.162 505.999,350.168 506.067,350.19 506.135,350.198 506.203,350.228 507.415,350.214 507.482,350.213 507.548,350.218 507.615,350.224 507.681,350.227 \n",
+       "  507.747,350.226 507.88,350.2 507.946,350.147 508.012,350.087 508.078,350.043 508.144,350.051 508.21,350.034 508.276,350.053 508.342,350.071 508.407,350.068 \n",
+       "  508.473,350.078 508.538,350.088 508.604,350.101 508.669,350.138 508.735,350.141 508.8,350.129 508.865,350.113 508.93,350.12 508.995,350.118 509.06,350.133 \n",
+       "  509.125,350.173 509.19,350.229 513.15,350.252 513.211,350.225 513.271,350.204 513.332,350.201 513.393,350.163 513.454,350.167 513.514,350.199 513.575,350.246 \n",
+       "  514.536,350.257 514.596,350.235 514.655,350.206 514.715,350.192 514.774,350.202 514.834,350.198 514.893,350.231 515.248,350.256 515.307,350.254 515.366,350.258 \n",
+       "  515.424,350.256 515.483,350.246 515.542,350.239 515.601,350.222 515.659,350.201 515.718,350.176 515.776,350.152 515.835,350.111 515.893,350.115 515.951,350.126 \n",
+       "  516.01,350.125 516.068,350.11 516.126,350.131 516.184,350.145 516.242,350.154 516.3,350.152 516.358,350.186 516.416,350.212 516.474,350.242 516.532,350.249 \n",
+       "  516.878,350.257 516.935,350.237 516.993,350.243 517.05,350.238 517.107,350.216 517.165,350.195 517.222,350.176 517.279,350.136 517.336,350.132 517.393,350.151 \n",
+       "  517.45,350.166 517.507,350.156 517.564,350.185 517.621,350.187 517.678,350.222 517.734,350.213 517.791,350.233 518.017,350.243 519.026,350.259 519.081,350.22 \n",
+       "  519.137,350.216 519.192,350.206 519.247,350.225 519.303,350.248 519.358,350.227 519.413,350.215 519.469,350.247 520.996,350.247 521.157,350.241 522.17,350.26 \n",
+       "  522.223,350.255 522.276,350.25 522.329,350.236 522.382,350.226 522.434,350.218 522.487,350.168 522.54,350.158 522.592,350.154 522.645,350.191 522.697,350.205 \n",
+       "  522.75,350.196 522.802,350.226 523.79,350.255 523.841,350.208 523.893,350.231 524.303,350.257 524.354,350.217 524.406,350.196 524.457,350.209 524.508,350.242 \n",
+       "  524.559,350.246 524.61,350.259 525.67,350.233 525.72,350.192 525.77,350.149 525.82,350.106 525.87,350.059 525.92,350.042 525.97,350.098 526.02,350.102 \n",
+       "  526.069,350.075 526.119,350.074 526.169,350.074 526.219,350.071 526.268,350.083 526.318,350.055 526.367,350.097 526.417,350.157 526.466,350.204 526.516,350.238 \n",
+       "  527.204,350.257 527.253,350.249 527.545,350.223 527.594,350.188 527.643,350.162 527.691,350.084 527.74,350.036 527.788,350.004 527.836,350.008 527.885,350.012 \n",
+       "  527.933,350 527.982,350.028 528.03,350.063 528.078,350.062 528.126,350.071 528.174,350.087 528.223,350.118 528.271,350.091 528.319,350.053 528.367,350.039 \n",
+       "  528.415,350.075 528.463,350.094 528.511,350.111 528.559,350.137 528.606,350.119 528.654,350.122 528.702,350.138 528.75,350.165 528.797,350.176 528.845,350.231 \n",
+       "  528.893,350.26 531.184,350.247 531.23,350.177 531.276,350.15 531.322,350.134 531.368,350.159 531.413,350.158 531.459,350.125 531.505,350.11 531.551,350.11 \n",
+       "  531.596,350.119 531.642,350.129 531.687,350.131 531.733,350.121 531.779,350.139 531.824,350.156 531.87,350.125 531.915,350.095 531.96,350.088 532.006,350.112 \n",
+       "  532.051,350.104 532.096,350.12 532.142,350.118 532.187,350.108 532.232,350.112 532.277,350.166 532.322,350.196 532.367,350.173 532.413,350.169 532.458,350.134 \n",
+       "  532.503,350.118 532.548,350.099 532.593,350.123 532.637,350.16 532.682,350.142 532.727,350.183 532.772,350.184 532.817,350.192 532.862,350.215 532.906,350.25 \n",
+       "  533.352,350.209 533.396,350.146 533.441,350.095 533.485,350.102 533.529,350.141 533.573,350.187 533.618,350.201 533.662,350.154 533.706,350.101 533.75,350.111 \n",
+       "  533.794,350.115 533.838,350.095 533.882,350.139 533.926,350.127 533.97,350.153 534.014,350.215 534.058,350.208 534.102,350.213 535.147,350.235 535.19,350.22 \n",
+       "  535.233,350.214 535.276,350.195 535.319,350.161 535.362,350.15 535.405,350.132 535.448,350.095 535.491,350.12 535.534,350.142 535.577,350.151 535.62,350.159 \n",
+       "  535.663,350.204 535.706,350.257 536.259,350.26 536.302,350.224 536.344,350.204 536.387,350.174 536.429,350.169 536.471,350.1 536.513,350.07 536.556,350.087 \n",
+       "  536.598,350.113 536.64,350.108 536.682,350.13 536.724,350.171 536.766,350.2 536.809,350.201 536.851,350.129 536.893,350.094 536.935,350.131 536.977,350.165 \n",
+       "  537.018,350.181 537.06,350.144 537.102,350.139 537.144,350.157 537.186,350.196 537.228,350.204 537.27,350.207 537.311,350.2 537.353,350.201 537.395,350.229 \n",
+       "  537.478,350.262 537.52,350.233 537.561,350.243 537.603,350.235 537.644,350.25 537.686,350.253 537.769,350.247 537.81,350.241 537.851,350.225 537.893,350.219 \n",
+       "  537.934,350.26 538.51,350.247 538.592,350.257 538.633,350.215 538.674,350.203 538.715,350.151 538.755,350.16 538.796,350.205 538.837,350.225 539.767,350.22 \n",
+       "  539.807,350.197 539.847,350.186 539.887,350.179 539.928,350.208 539.968,350.179 540.008,350.166 540.048,350.144 540.088,350.149 540.127,350.183 540.167,350.209 \n",
+       "  540.207,350.215 540.247,350.234 540.287,350.24 540.327,350.255 540.406,350.238 540.446,350.209 540.486,350.204 540.526,350.224 541.705,350.219 541.744,350.23 \n",
+       "  541.783,350.235 541.822,350.25 541.861,350.241 544.225,350.253 544.263,350.22 544.3,350.178 544.338,350.149 544.375,350.126 544.412,350.096 544.45,350.064 \n",
+       "  544.487,350.049 544.524,350.002 544.561,349.984 544.599,349.987 544.636,350.035 544.673,350.088 544.71,350.133 544.747,350.189 544.785,350.227 544.822,350.242 \n",
+       "  545.118,350.242 545.155,350.232 545.523,350.216 545.559,350.238 545.596,350.241 545.633,350.244 545.961,350.232 545.998,350.224 546.034,350.21 546.071,350.218 \n",
+       "  546.107,350.231 547.188,350.233 547.224,350.21 547.26,350.233 547.58,350.226 547.616,350.217 547.651,350.207 547.687,350.178 547.722,350.145 547.758,350.148 \n",
+       "  547.793,350.157 547.829,350.183 547.864,350.235 548.217,350.227 548.252,350.211 548.287,350.236 548.322,350.216 548.357,350.218 548.392,350.177 548.427,350.126 \n",
+       "  548.462,350.13 548.497,350.12 548.532,350.119 548.567,350.126 548.602,350.142 548.637,350.148 548.672,350.117 548.707,350.1 548.742,350.085 548.777,350.112 \n",
+       "  548.812,350.115 548.847,350.14 548.881,350.142 548.916,350.142 548.951,350.121 548.986,350.099 549.021,350.109 549.055,350.162 549.09,350.228 549.263,350.251 \n",
+       "  549.298,350.25 549.505,350.26 549.539,350.232 549.574,350.207 549.608,350.183 549.643,350.201 549.677,350.228 549.78,350.226 549.814,350.17 549.849,350.125 \n",
+       "  549.883,350.081 549.917,350.06 549.951,350.069 549.986,350.091 550.02,350.124 550.054,350.127 550.088,350.161 550.122,350.173 550.157,350.195 550.191,350.213 \n",
+       "  550.225,350.237 550.259,350.246 551.038,350.228 551.071,350.205 551.105,350.225 551.707,350.262 551.74,350.22 551.774,350.217 551.807,350.223 551.84,350.222 \n",
+       "  551.873,350.248 551.907,350.247 552.172,350.237 552.205,350.256 552.435,350.213 552.468,350.184 552.501,350.132 552.534,350.134 552.567,350.085 552.6,350.087 \n",
+       "  552.633,350.034 552.666,350.022 552.698,350.018 552.731,350.057 552.764,350.084 552.797,350.067 552.829,350.08 552.862,350.089 552.895,350.121 552.927,350.131 \n",
+       "  552.96,350.129 552.993,350.18 553.025,350.228 553.156,350.242 553.188,350.226 553.221,350.249 553.253,350.24 553.286,350.213 553.318,350.205 553.351,350.217 \n",
+       "  553.383,350.245 553.416,350.247 553.448,350.236 553.48,350.257 553.642,350.252 553.739,350.213 553.771,350.182 553.803,350.189 553.836,350.232 554.061,350.241 \n",
+       "  554.093,350.249 554.477,350.261 554.508,350.24 554.54,350.243 554.572,350.257 554.985,350.242 555.016,350.242 555.048,350.2 555.08,350.24 555.332,350.255 \n",
+       "  555.52,350.24 556.176,350.26 556.331,350.255 556.362,350.219 556.393,350.2 556.424,350.2 556.454,350.197 556.485,350.157 556.516,350.118 556.547,350.133 \n",
+       "  556.578,350.123 556.609,350.153 556.64,350.174 556.67,350.222 556.701,350.241 556.732,350.262 558.612,350.232 558.642,350.205 558.672,350.164 558.702,350.16 \n",
+       "  558.732,350.161 558.762,350.165 558.791,350.148 558.821,350.152 558.851,350.172 558.881,350.184 558.911,350.195 558.94,350.216 558.97,350.252 559.029,350.257 \n",
+       "  559.059,350.254 559.089,350.225 559.118,350.203 559.148,350.238 559.355,350.218 559.385,350.163 559.414,350.154 559.444,350.192 559.473,350.209 559.503,350.22 \n",
+       "  559.532,350.248 559.885,350.248 559.914,350.258 559.943,350.262 559.972,350.252 560.002,350.248 560.031,350.203 560.06,350.155 560.089,350.126 560.119,350.144 \n",
+       "  560.148,350.212 560.177,350.214 560.206,350.231 560.235,350.223 560.264,350.229 560.293,350.222 560.497,350.251 560.526,350.228 560.555,350.22 560.584,350.16 \n",
+       "  560.613,350.154 560.642,350.136 560.671,350.185 560.7,350.174 560.729,350.192 560.757,350.241 560.786,350.255 560.844,350.254 560.873,350.215 560.902,350.238 \n",
+       "  560.959,350.224 560.988,350.161 561.017,350.146 561.046,350.111 561.075,350.1 561.103,350.121 561.132,350.159 561.161,350.175 561.189,350.182 561.218,350.189 \n",
+       "  561.247,350.185 561.276,350.241 561.903,350.257 561.931,350.225 561.96,350.213 561.988,350.198 562.016,350.167 562.045,350.123 562.073,350.144 562.101,350.141 \n",
+       "  562.13,350.183 562.158,350.186 562.186,350.217 562.214,350.214 562.243,350.223 562.271,350.24 562.299,350.253 562.327,350.259 562.356,350.222 562.384,350.205 \n",
+       "  562.412,350.214 562.44,350.224 564.107,350.242 564.134,350.259 564.189,350.232 564.216,350.227 564.244,350.252 564.271,350.242 564.298,350.21 564.326,350.192 \n",
+       "  564.353,350.205 564.38,350.221 564.408,350.258 565.086,350.236 565.113,350.213 565.14,350.171 565.167,350.089 565.194,350.055 565.221,350.069 565.248,350.048 \n",
+       "  565.275,350.041 565.302,350.066 565.329,350.067 565.356,350.101 565.383,350.138 565.409,350.159 565.436,350.203 565.463,350.205 565.49,350.227 565.517,350.232 \n",
+       "  565.544,350.234 565.57,350.26 565.678,350.259 565.704,350.227 565.731,350.204 565.758,350.209 566.316,350.213 566.343,350.21 566.369,350.198 566.396,350.191 \n",
+       "  566.422,350.232 567.211,350.25 567.237,350.222 567.263,350.208 567.289,350.164 567.315,350.184 567.341,350.156 567.367,350.184 567.393,350.244 567.419,350.243 \n",
+       "  567.445,350.256 567.471,350.26 567.497,350.235 567.523,350.206 567.549,350.176 567.575,350.164 567.601,350.194 567.627,350.242 567.783,350.251 567.912,350.234 \n",
+       "  567.938,350.181 567.964,350.133 567.989,350.172 568.015,350.185 568.041,350.181 568.067,350.194 568.092,350.234 568.118,350.26 568.195,350.25 568.247,350.261 \n",
+       "  568.272,350.251 568.298,350.213 568.324,350.206 568.349,350.232 568.375,350.246 568.401,350.258 568.426,350.226 568.452,350.176 568.478,350.217 569.165,350.253 \n",
+       "  569.266,350.228 569.292,350.221 569.317,350.24 569.342,350.259 569.62,350.197 569.645,350.092 569.67,350.012 569.695,349.99 569.72,349.991 569.745,350.031 \n",
+       "  569.77,350.079 569.795,350.125 569.82,350.18 569.845,350.229 569.871,350.262 569.971,350.26 569.996,350.253 570.046,350.262 570.071,350.195 570.096,350.146 \n",
+       "  570.121,350.177 570.145,350.175 570.17,350.143 570.195,350.141 570.22,350.117 570.245,350.086 570.27,350.123 570.295,350.135 570.32,350.165 570.345,350.18 \n",
+       "  570.37,350.256 570.394,350.244 570.419,350.231 570.444,350.208 570.469,350.201 570.494,350.199 570.519,350.223 570.543,350.229 570.568,350.223 570.593,350.166 \n",
+       "  570.618,350.16 570.642,350.189 570.667,350.225 570.692,350.244 571.062,350.23 571.086,350.218 571.111,350.188 571.135,350.168 571.16,350.188 571.185,350.236 \n",
+       "  571.209,350.203 571.234,350.158 571.258,350.163 571.283,350.176 571.307,350.141 571.332,350.15 571.356,350.105 571.381,350.06 571.405,350.045 571.43,350.096 \n",
+       "  571.454,350.118 571.478,350.136 571.503,350.099 571.527,350.068 571.552,350.059 571.576,350.083 571.6,350.115 571.625,350.164 571.649,350.243 571.673,350.238 \n",
+       "  571.698,350.226 571.722,350.238 571.747,350.249 572.159,350.243 572.183,350.177 572.207,350.137 572.231,350.146 572.255,350.189 572.279,350.255 572.304,350.262 \n",
+       "  572.352,350.247 572.376,350.231 572.4,350.229 572.424,350.236 572.808,350.247 572.832,350.226 572.856,350.191 572.88,350.203 572.904,350.21 572.927,350.236 \n",
+       "  572.951,350.227 572.975,350.181 572.999,350.123 573.023,350.088 573.047,350.099 573.071,350.135 573.094,350.202 573.118,350.242 573.142,350.254 573.166,350.259 \n",
+       "  573.19,350.228 573.213,350.208 573.237,350.223 573.261,350.235 573.285,350.224 573.308,350.21 573.332,350.221 573.356,350.225 573.38,350.223 573.403,350.226 \n",
+       "  573.427,350.232 573.474,350.259 573.498,350.247 573.616,350.243 573.64,350.253 574.11,350.248 574.134,350.191 574.157,350.167 574.181,350.195 574.204,350.223 \n",
+       "  574.227,350.218 574.251,350.184 574.274,350.192 574.298,350.209 574.321,350.23 574.344,350.226 574.368,350.258 574.763,350.238 574.786,350.224 574.81,350.21 \n",
+       "  574.833,350.169 574.856,350.161 574.879,350.165 574.902,350.181 574.926,350.208 574.949,350.231 574.972,350.211 574.995,350.189 575.018,350.195 575.041,350.181 \n",
+       "  575.064,350.186 575.087,350.168 575.11,350.169 575.133,350.224 575.157,350.248 575.272,350.239 575.295,350.259 575.318,350.243 575.41,350.26 575.433,350.258 \n",
+       "  575.456,350.244 575.616,350.246 575.685,350.251 575.708,350.241 575.913,350.221 575.936,350.189 575.959,350.173 575.981,350.123 576.004,350.137 576.027,350.158 \n",
+       "  576.05,350.206 576.072,350.249 576.163,350.244 576.186,350.224 576.208,350.197 576.231,350.182 576.254,350.177 576.277,350.184 576.299,350.228 576.322,350.21 \n",
+       "  576.344,350.17 576.367,350.138 576.39,350.145 576.412,350.137 576.435,350.147 576.458,350.13 576.48,350.122 576.503,350.085 576.525,350.065 576.548,350.058 \n",
+       "  576.57,350.017 576.593,350.029 576.615,350.074 576.638,350.092 576.661,350.056 576.683,350.062 576.706,350.153 576.728,350.175 576.751,350.182 576.773,350.155 \n",
+       "  576.796,350.137 576.818,350.137 576.84,350.097 576.863,350.072 576.885,350.072 576.908,350.096 576.93,350.155 576.953,350.21 577.422,350.262 577.444,350.223 \n",
+       "  577.466,350.222 577.488,350.216 577.511,350.24 577.533,350.229 577.555,350.223 577.577,350.196 577.599,350.162 577.622,350.114 577.644,350.065 577.666,350.068 \n",
+       "  577.688,350.033 577.71,350.058 577.733,350.067 577.755,350.055 577.777,350.079 577.799,350.088 577.821,350.083 577.843,350.141 577.865,350.216 578.437,350.23 \n",
+       "  578.459,350.195 578.481,350.197 578.503,350.217 579.329,350.237 579.351,350.246 579.372,350.249 579.502,350.248 579.523,350.258 579.545,350.219 579.566,350.161 \n",
+       "  579.588,350.095 579.609,350.114 579.631,350.164 579.652,350.219 580.548,350.231 580.57,350.171 580.591,350.125 580.612,350.092 580.633,350.093 580.654,350.124 \n",
+       "  580.675,350.206 580.697,350.225 580.887,350.231 580.908,350.204 580.929,350.213 580.95,350.212 581.16,350.248 581.745,350.258 581.766,350.228 581.787,350.24 \n",
+       "  581.807,350.226 581.828,350.236 581.849,350.24 581.87,350.199 581.89,350.23 581.911,350.229 581.932,350.208 581.953,350.19 581.973,350.209 581.994,350.209 \n",
+       "  582.015,350.213 582.036,350.197 582.056,350.232 582.366,350.256 582.386,350.239 582.407,350.221 582.428,350.238 582.448,350.23 582.469,350.164 582.489,350.132 \n",
+       "  582.51,350.073 582.53,350.004 582.551,349.944 582.572,349.905 582.592,349.969 582.613,350.02 582.633,350.07 582.654,350.12 582.674,350.088 582.695,350.069 \n",
+       "  582.715,350.021 582.736,350 582.756,349.932 582.776,349.911 582.797,349.939 582.817,349.955 582.838,350.028 582.858,350.108 582.879,350.208 582.899,350.225 \n",
+       "  583.001,350.246 583.022,350.238 583.042,350.234 583.062,350.26 583.083,350.244 583.103,350.215 583.123,350.168 583.144,350.123 583.164,350.141 583.184,350.134 \n",
+       "  583.205,350.125 583.225,350.084 583.245,350.065 583.266,350.108 583.286,350.157 583.306,350.131 583.327,350.123 583.347,350.083 583.367,350.052 583.387,350.05 \n",
+       "  583.408,350.036 583.428,350.019 583.448,350.074 583.468,350.118 583.489,350.139 583.509,350.15 583.529,350.151 583.549,350.144 583.57,350.116 583.59,350.104 \n",
+       "  583.61,350.092 583.63,350.079 583.65,350.051 583.671,350.033 583.691,350.03 583.711,350.058 583.731,350.103 583.751,350.155 583.771,350.183 583.792,350.241 \n",
+       "  584.073,350.257 584.093,350.23 584.233,350.255 584.293,350.255 584.91,350.233 584.929,350.201 584.949,350.202 584.969,350.231 584.989,350.232 585.008,350.219 \n",
+       "  585.028,350.201 585.048,350.174 585.068,350.165 585.087,350.147 585.107,350.157 585.127,350.163 585.147,350.228 585.166,350.254 585.304,350.26 585.324,350.245 \n",
+       "  585.343,350.261 585.363,350.231 585.383,350.218 585.402,350.184 585.422,350.126 585.442,350.086 585.461,350.086 585.481,350.048 585.5,350.073 585.52,350.13 \n",
+       "  585.54,350.128 585.559,350.145 585.579,350.219 585.598,350.261 585.618,350.251 585.638,350.212 585.657,350.217 585.677,350.206 585.696,350.223 585.716,350.231 \n",
+       "  585.735,350.192 585.755,350.149 585.774,350.078 585.794,350.078 585.813,350.126 585.833,350.117 585.852,350.138 585.872,350.11 585.891,350.118 585.911,350.136 \n",
+       "  585.93,350.235 585.95,350.252 586.008,350.25 586.028,350.262 586.047,350.25 586.067,350.253 586.086,350.251 586.396,350.256 586.415,350.251 586.435,350.155 \n",
+       "  586.454,350.118 586.473,350.157 586.493,350.156 586.512,350.151 586.531,350.177 586.551,350.164 586.57,350.207 586.589,350.207 586.608,350.212 586.628,350.23 \n",
+       "  586.647,350.239 587.127,350.243 587.146,350.214 587.165,350.207 587.184,350.14 587.203,350.13 587.222,350.157 587.241,350.226 587.413,350.208 587.432,350.158 \n",
+       "  587.451,350.15 587.47,350.159 587.489,350.217 587.508,350.256 587.679,350.257 587.698,350.258 587.716,350.221 587.735,350.248 587.754,350.253 587.773,350.242 \n",
+       "  587.792,350.216 587.811,350.252 588.113,350.241 588.132,350.174 588.151,350.123 588.169,350.108 588.188,350.157 588.207,350.167 588.226,350.232 588.413,350.255 \n",
+       "  588.432,350.246 588.451,350.251 588.712,350.246 589.01,350.185 589.029,350.116 589.047,350.059 589.066,350.022 589.084,350.019 589.103,350.028 589.121,350.047 \n",
+       "  589.14,350.102 589.158,350.14 589.177,350.22 589.195,350.259 589.214,350.246 589.232,350.253 589.251,350.244 589.269,350.237 589.288,350.249 589.306,350.242 \n",
+       "  589.325,350.248 589.564,350.247 589.583,350.22 589.601,350.184 589.62,350.2 589.638,350.231 589.656,350.246 589.876,350.234 589.895,350.261 590.187,350.251 \n",
+       "  590.205,350.215 590.223,350.196 590.241,350.232 590.26,350.212 590.278,350.202 590.296,350.189 590.314,350.195 590.332,350.236 590.351,350.249 590.369,350.239 \n",
+       "  590.387,350.253 590.532,350.224 590.55,350.261 590.677,350.247 590.695,350.221 590.713,350.207 590.731,350.216 590.749,350.204 590.767,350.177 590.785,350.186 \n",
+       "  590.803,350.198 590.821,350.153 590.839,350.134 590.857,350.093 590.875,350.124 590.893,350.182 590.911,350.254 591.503,350.239 591.521,350.173 591.539,350.164 \n",
+       "  591.557,350.131 591.575,350.127 591.592,350.143 591.61,350.132 591.628,350.141 591.646,350.151 591.664,350.116 591.681,350.121 591.699,350.085 591.717,350.104 \n",
+       "  591.735,350.126 591.753,350.122 591.77,350.109 591.788,350.119 591.806,350.121 591.824,350.151 591.841,350.134 591.859,350.175 591.877,350.12 591.895,350.137 \n",
+       "  591.912,350.135 591.93,350.146 591.948,350.219 591.966,350.206 591.983,350.196 592.001,350.209 592.019,350.215 592.036,350.245 592.054,350.209 592.072,350.161 \n",
+       "  592.089,350.126 592.107,350.12 592.125,350.163 592.142,350.214 592.319,350.257 592.618,350.241 592.635,350.217 592.705,350.231 592.723,350.2 592.74,350.185 \n",
+       "  592.758,350.176 592.775,350.155 592.793,350.153 592.81,350.103 592.828,350.038 592.845,350.03 592.863,349.99 592.88,349.986 592.898,349.993 592.915,349.99 \n",
+       "  592.933,350 592.95,350.042 592.968,350.099 592.985,350.156 593.002,350.192 593.02,350.181 593.037,350.183 593.055,350.236 593.211,350.257 593.506,350.246 \n",
+       "  593.523,350.191 593.541,350.16 593.558,350.189 593.575,350.241 593.61,350.261 593.627,350.263 593.661,350.249 593.679,350.247 593.696,350.215 593.713,350.169 \n",
+       "  593.73,350.167 593.748,350.207 593.765,350.242 593.782,350.229 593.799,350.251 593.834,350.26 593.903,350.248 593.92,350.193 593.937,350.182 593.954,350.14 \n",
+       "  593.971,350.157 593.988,350.178 594.006,350.201 594.023,350.168 594.04,350.143 594.057,350.11 594.074,350.141 594.091,350.163 594.108,350.17 594.126,350.163 \n",
+       "  594.143,350.205 594.16,350.203 594.177,350.184 594.194,350.169 594.211,350.143 594.228,350.127 594.245,350.123 594.262,350.107 594.28,350.098 594.297,350.13 \n",
+       "  594.314,350.192 594.331,350.199 594.348,350.241 594.365,350.215 594.382,350.232 594.399,350.215 594.416,350.196 594.433,350.191 594.45,350.171 594.467,350.21 \n",
+       "  594.484,350.219 594.501,350.26 594.756,350.262 594.773,350.231 594.79,350.215 594.807,350.246 594.824,350.23 594.841,350.213 594.858,350.188 594.875,350.165 \n",
+       "  594.892,350.112 594.909,350.054 594.926,350.022 594.943,349.984 594.959,350.001 594.976,350.075 594.993,350.14 595.01,350.12 595.027,350.169 595.044,350.193 \n",
+       "  595.061,350.218 595.078,350.175 595.095,350.198 595.111,350.232 595.128,350.243 595.145,350.195 595.162,350.206 595.179,350.203 595.196,350.141 595.213,350.13 \n",
+       "  595.229,350.136 595.246,350.156 595.263,350.2 595.28,350.222 595.297,350.237 595.313,350.211 595.33,350.168 595.347,350.12 595.364,350.081 595.381,350.071 \n",
+       "  595.397,350.069 595.414,350.094 595.431,350.135 595.448,350.183 595.465,350.235 595.582,350.203 595.599,350.154 595.615,350.101 595.632,350.051 595.649,350.029 \n",
+       "  595.666,350.042 595.682,350.086 595.699,350.143 595.716,350.157 595.732,350.171 595.749,350.207 595.766,350.202 595.782,350.241 596.032,350.231 596.049,350.233 \n",
+       "  596.066,350.211 596.082,350.149 596.099,350.087 596.115,350.041 596.132,350.038 596.149,350.087 596.165,350.058 596.182,350.065 596.198,350.052 596.215,350.069 \n",
+       "  596.232,350.057 596.248,350.073 596.265,350.054 596.281,350.006 596.298,350.007 596.314,350.015 596.331,350.021 596.347,350.06 596.364,350.068 596.381,350.124 \n",
+       "  596.397,350.21 596.694,350.235 596.71,350.211 596.727,350.247 597.625,350.243 597.641,350.216 597.657,350.167 597.673,350.139 597.69,350.135 597.706,350.148 \n",
+       "  597.722,350.22 597.803,350.261 597.835,350.211 597.851,350.221 597.868,350.211 597.884,350.263 597.948,350.256 597.964,350.241 597.981,350.214 597.997,350.177 \n",
+       "  598.013,350.179 598.029,350.107 598.045,350.089 598.061,350.138 598.077,350.203 598.27,350.217 598.286,350.171 598.302,350.176 598.318,350.155 598.334,350.175 \n",
+       "  598.35,350.191 598.366,350.254 598.606,350.258 598.622,350.219 598.638,350.169 598.654,350.185 598.67,350.24 598.686,350.217 598.702,350.183 598.718,350.171 \n",
+       "  598.734,350.161 598.75,350.155 598.766,350.144 598.782,350.151 598.798,350.149 598.814,350.168 598.83,350.171 598.845,350.176 598.861,350.227 598.877,350.251 \n",
+       "  598.893,350.242 598.909,350.248 598.988,350.256 599.242,350.235 599.258,350.243 599.273,350.259 599.289,350.229 599.305,350.236 599.321,350.232 599.337,350.232 \n",
+       "  599.352,350.17 599.368,350.162 599.384,350.118 599.4,350.076 599.416,350.024 599.431,349.995 599.447,349.998 599.463,349.918 599.479,349.961 599.494,349.933 \n",
+       "  599.51,349.912 599.526,349.916 599.542,349.873 599.557,349.907 599.573,349.909 599.589,349.902 599.604,349.904 599.62,349.937 599.636,349.972 599.652,350.037 \n",
+       "  599.667,350.06 599.683,350.07 599.699,350.099 599.714,350.105 599.73,350.074 599.746,350.095 599.761,350.158 599.777,350.205 599.793,350.235 599.808,350.218 \n",
+       "  599.824,350.207 599.84,350.212 599.902,350.26 600.012,350.231 600.027,350.207 600.043,350.149 600.059,350.103 600.074,350.097 600.09,350.075 600.105,350.143 \n",
+       "  600.121,350.129 600.137,350.149 600.152,350.197 600.168,350.214 600.51,350.23 600.525,350.206 600.541,350.16 600.556,350.185 600.572,350.211 600.587,350.2 \n",
+       "  600.603,350.229 600.942,350.217 600.958,350.204 600.973,350.229 600.988,350.246 601.004,350.263 601.019,350.26 601.034,350.263 601.05,350.246 601.065,350.224 \n",
+       "  601.081,350.184 601.096,350.154 601.111,350.202 601.127,350.185 601.142,350.167 601.157,350.179 601.173,350.176 601.188,350.152 601.203,350.139 601.219,350.129 \n",
+       "  601.234,350.195 601.249,350.219 601.265,350.228 601.28,350.24 601.295,350.255 601.829,350.228 601.844,350.203 601.859,350.234 601.874,350.247 601.905,350.249 \n",
+       "  601.92,350.225 601.935,350.225 601.95,350.261 602.252,350.218 602.267,350.16 602.283,350.184 602.298,350.207 602.313,350.226 602.328,350.212 602.343,350.178 \n",
+       "  602.358,350.133 602.373,350.146 602.388,350.132 602.403,350.149 602.418,350.17 602.433,350.138 602.448,350.086 602.463,349.992 602.478,349.972 602.493,350.018 \n",
+       "  602.508,350.038 602.523,350.032 602.538,350.024 602.553,350.043 602.568,350.116 602.583,350.145 602.598,350.175 602.613,350.193 602.628,350.159 602.643,350.166 \n",
+       "  602.658,350.154 602.673,350.157 602.688,350.202 602.703,350.249 602.718,350.26 602.733,350.212 602.748,350.229 602.763,350.25 602.778,350.256 602.793,350.233 \n",
+       "  602.808,350.253 602.927,350.219 602.942,350.182 602.957,350.163 602.972,350.141 602.987,350.14 603.002,350.179 603.017,350.188 603.032,350.212 603.047,350.227 \n",
+       "  603.062,350.246 603.076,350.259 603.091,350.258 603.106,350.235 603.121,350.193 603.136,350.216 603.151,350.2 603.166,350.158 603.181,350.208 603.195,350.215 \n",
+       "  603.433,350.254 603.448,350.251 603.949,350.191 603.963,350.15 603.978,350.076 603.993,350.103 604.007,350.149 604.022,350.156 604.037,350.14 604.051,350.11 \n",
+       "  604.066,350.102 604.081,350.092 604.095,350.048 604.11,350.022 604.125,350.046 604.139,350.04 604.154,350.059 604.169,350.043 604.183,350.033 604.198,350.064 \n",
+       "  604.213,350.052 604.227,350.087 604.242,350.104 604.256,350.102 604.271,350.148 604.286,350.181 604.3,350.25 604.359,350.258 604.78,350.23 604.795,350.192 \n",
+       "  604.809,350.226 605.07,350.195 605.084,350.134 605.098,350.143 605.113,350.157 605.127,350.137 605.142,350.121 605.156,350.161 605.17,350.212 605.185,350.222 \n",
+       "  605.199,350.207 605.214,350.134 605.228,350.091 605.242,350.044 605.257,350.026 605.271,350.047 605.286,350.096 605.3,350.132 605.314,350.141 605.329,350.105 \n",
+       "  605.343,350.092 605.357,350.091 605.372,350.106 605.386,350.168 605.401,350.232 605.573,350.21 605.587,350.192 605.601,350.187 605.616,350.225 605.63,350.253 \n",
+       "  605.644,350.242 605.658,350.132 605.673,350.089 605.687,350.019 605.701,349.955 605.716,349.903 605.73,349.876 605.744,349.89 605.758,349.886 605.773,349.924 \n",
+       "  605.787,349.941 605.801,349.975 605.815,350.001 605.83,349.997 605.844,350.031 605.858,350.013 605.873,350.014 605.887,350.072 605.901,350.089 605.915,350.104 \n",
+       "  605.929,350.132 605.944,350.107 605.958,350.155 605.972,350.188 605.986,350.197 606.001,350.168 606.015,350.202 606.029,350.225 606.043,350.196 606.057,350.148 \n",
+       "  606.072,350.151 606.086,350.182 606.1,350.186 606.114,350.216 606.128,350.226 606.143,350.235 606.157,350.25 606.185,350.234 606.199,350.153 606.214,350.104 \n",
+       "  606.228,350.098 606.242,350.075 606.256,350.069 606.27,350.114 606.284,350.102 606.299,350.13 606.313,350.172 606.327,350.224 606.341,350.257 606.383,350.251 \n",
+       "  606.398,350.21 606.412,350.2 606.426,350.162 606.44,350.135 606.454,350.139 606.468,350.161 606.482,350.203 606.496,350.2 606.51,350.184 606.525,350.142 \n",
+       "  606.539,350.123 606.553,350.145 606.567,350.158 606.581,350.184 606.595,350.235 606.708,350.247 606.722,350.233 606.736,350.247 606.834,350.205 606.848,350.161 \n",
+       "  606.862,350.165 606.876,350.144 606.89,350.081 606.904,350.032 606.918,350.001 606.932,350.02 606.946,350.078 606.96,350.062 606.974,350.063 606.988,350.037 \n",
+       "  607.002,350.008 607.016,350.049 607.03,350.066 607.044,350.057 607.058,350.029 607.072,350.018 607.086,350.027 607.1,349.996 607.114,349.937 607.128,349.906 \n",
+       "  607.142,349.932 607.156,349.982 607.17,350.012 607.184,349.979 607.198,349.953 607.212,349.995 607.226,350.086 607.24,350.193 607.254,350.248 607.379,350.201 \n",
+       "  607.393,350.15 607.407,350.092 607.421,350.073 607.435,350.054 607.449,350.045 607.463,350.045 607.476,350.096 607.49,350.132 607.504,350.155 607.518,350.189 \n",
+       "  607.532,350.214 607.56,350.243 607.574,350.201 607.588,350.178 607.601,350.228 607.615,350.229 607.629,350.234 607.643,350.24 607.657,350.207 607.671,350.202 \n",
+       "  607.685,350.249 607.864,350.25 607.878,350.225 607.892,350.23 607.906,350.173 607.92,350.17 607.933,350.17 607.947,350.12 607.961,350.093 607.975,350.072 \n",
+       "  607.989,350.06 608.002,350.057 608.016,350.092 608.03,350.135 608.044,350.126 608.057,350.176 608.071,350.166 608.085,350.221 608.483,350.258 608.496,350.24 \n",
+       "  608.51,350.159 608.524,350.067 608.537,350.019 608.551,349.968 608.565,349.989 608.578,350.067 608.592,350.064 608.606,350.054 608.619,350.052 608.633,350.026 \n",
+       "  608.647,350.039 608.66,350.028 608.674,350.008 608.688,350.028 608.701,349.996 608.715,350.018 608.729,350.071 608.742,350.123 608.756,350.161 608.769,350.149 \n",
+       "  608.783,350.125 608.797,350.054 608.81,350.017 608.824,350.059 608.837,350.119 608.851,350.113 608.865,350.099 608.878,350.088 608.892,350.071 608.905,350.045 \n",
+       "  608.919,350.059 608.933,350.074 608.946,350.071 608.96,350.011 608.973,349.987 608.987,349.989 609,349.997 609.014,350.04 609.028,350.107 609.041,350.15 \n",
+       "  609.055,350.163 609.068,350.243 609.122,350.197 609.136,350.122 609.149,350.092 609.163,350.05 609.177,350.065 609.19,350.097 609.204,350.153 609.217,350.212 \n",
+       "  609.312,350.229 609.325,350.197 609.339,350.192 609.352,350.202 609.366,350.255 609.608,350.241 609.621,350.203 609.635,350.194 609.648,350.161 609.662,350.187 \n",
+       "  609.675,350.178 609.689,350.173 609.702,350.141 609.715,350.135 609.729,350.137 609.742,350.162 609.756,350.202 609.769,350.18 609.782,350.186 609.796,350.155 \n",
+       "  609.809,350.18 609.823,350.215 609.836,350.206 609.849,350.228 609.863,350.247 609.876,350.235 609.89,350.242 609.903,350.229 609.916,350.215 609.93,350.207 \n",
+       "  609.943,350.209 609.956,350.244 610.05,350.208 610.063,350.179 610.077,350.169 610.09,350.233 610.237,350.258 610.25,350.21 610.263,350.194 610.276,350.194 \n",
+       "  610.29,350.192 610.303,350.22 610.396,350.252 611.043,350.258 611.436,350.258 611.449,350.235 611.462,350.189 611.475,350.203 611.488,350.175 611.501,350.126 \n",
+       "  611.514,350.127 611.527,350.156 611.54,350.128 611.553,350.115 611.566,350.165 611.593,350.255 611.658,350.245 611.671,350.259 611.684,350.237 611.697,350.202 \n",
+       "  611.71,350.183 611.723,350.21 611.736,350.238 611.749,350.261 611.801,350.256 611.814,350.248 611.827,350.197 611.84,350.152 611.853,350.178 611.866,350.189 \n",
+       "  611.878,350.183 611.891,350.229 612.021,350.254 612.034,350.247 612.047,350.225 612.06,350.149 612.073,350.11 612.086,350.114 612.099,350.123 612.111,350.1 \n",
+       "  612.124,350.061 612.137,350.088 612.15,350.061 612.163,350.059 612.176,350.027 612.189,350.064 612.202,350.122 612.215,350.123 612.228,350.133 612.241,350.134 \n",
+       "  612.253,350.154 612.266,350.224 612.279,350.253 612.485,350.244 612.498,350.249 612.511,350.216 612.524,350.168 612.536,350.117 612.549,350.096 612.562,350.104 \n",
+       "  612.575,350.097 612.588,350.073 612.601,350.064 612.613,350.013 612.626,350 612.639,350.023 612.652,350.066 612.665,350.142 612.678,350.206 612.69,350.203 \n",
+       "  612.703,350.202 612.716,350.205 612.729,350.185 612.742,350.122 612.754,350.063 612.767,350.056 612.78,350.051 612.793,350.105 612.805,350.139 612.818,350.136 \n",
+       "  612.831,350.197 613.277,350.245 613.289,350.218 613.302,350.212 613.479,350.226 613.492,350.193 613.505,350.174 613.517,350.21 613.707,350.261 613.719,350.237 \n",
+       "  613.744,350.234 613.757,350.188 613.769,350.206 613.782,350.217 613.971,350.228 613.983,350.184 613.996,350.184 614.008,350.164 614.021,350.227 614.033,350.247 \n",
+       "  614.046,350.253 614.058,350.252 614.071,350.181 614.083,350.093 614.096,350.069 614.109,350.099 614.121,350.125 614.134,350.211 614.221,350.199 614.234,350.191 \n",
+       "  614.246,350.229 614.259,350.241 614.271,350.205 614.284,350.231 614.383,350.233 614.396,350.187 614.408,350.155 614.421,350.178 614.433,350.184 614.446,350.238 \n",
+       "  614.458,350.233 614.471,350.233 614.483,350.181 614.496,350.129 614.508,350.106 614.52,350.134 614.533,350.193 614.545,350.255 614.558,350.241 614.57,350.248 \n",
+       "  614.583,350.22 614.595,350.163 614.607,350.171 614.62,350.136 614.632,350.131 614.645,350.11 614.657,350.142 614.67,350.182 614.682,350.228 614.732,350.258 \n",
+       "  614.794,350.236 614.806,350.135 614.818,350.093 614.831,350.127 614.843,350.21 614.893,350.259 614.905,350.159 614.917,350.184 614.93,350.236 614.967,350.227 \n",
+       "  614.979,350.2 614.991,350.178 615.004,350.132 615.016,350.102 615.029,350.128 615.041,350.146 615.053,350.134 615.066,350.078 615.078,350.036 615.09,349.994 \n",
+       "  615.103,350.064 615.115,350.149 615.127,350.17 615.14,350.13 615.152,350.11 615.164,350.135 615.176,350.137 615.189,350.122 615.201,350.142 615.213,350.158 \n",
+       "  615.226,350.259 615.52,350.258 615.533,350.177 615.545,350.161 615.557,350.165 615.569,350.192 615.582,350.168 615.594,350.201 615.606,350.254 615.692,350.248 \n",
+       "  615.704,350.259 615.716,350.253 615.728,350.253 615.74,350.26 615.753,350.252 615.814,350.251 615.826,350.201 615.838,350.174 615.85,350.149 615.862,350.141 \n",
+       "  615.875,350.133 615.887,350.143 615.899,350.236 615.911,350.198 615.923,350.21 615.935,350.192 615.948,350.219 616.033,350.196 616.045,350.219 616.057,350.238 \n",
+       "  616.106,350.251 616.118,350.189 616.13,350.106 616.142,350.129 616.154,350.106 616.166,350.064 616.178,350.016 616.191,350.026 616.203,350.004 616.215,350.066 \n",
+       "  616.227,350.101 616.239,350.171 616.251,350.197 616.263,350.171 616.275,350.174 616.287,350.164 616.3,350.203 616.312,350.177 616.324,350.131 616.336,350.077 \n",
+       "  616.348,350.033 616.36,350.105 616.372,350.064 616.384,350.01 616.396,349.996 616.408,350 616.42,350.027 616.432,349.987 616.445,349.994 616.457,350.107 \n",
+       "  616.469,350.12 616.481,350.155 616.493,350.152 616.505,350.106 616.517,350.115 616.529,350.13 616.541,350.173 616.553,350.241 616.637,350.229 616.649,350.131 \n",
+       "  616.662,350.067 616.674,350.123 616.686,350.15 616.698,350.098 616.71,350.099 616.722,350.066 616.734,350.083 616.746,350.033 616.758,350.074 616.77,350.096 \n",
+       "  616.782,350.05 616.794,350.046 616.806,350.056 616.818,350.066 616.83,350.095 616.842,350.144 616.854,350.235 616.866,350.23 616.878,350.184 616.89,350.173 \n",
+       "  616.902,350.175 616.914,350.157 616.926,350.183 616.938,350.198 616.998,350.25 617.009,350.165 617.021,350.156 617.033,350.135 617.045,350.153 617.057,350.116 \n",
+       "  617.069,350.095 617.081,350.038 617.093,350.008 617.105,349.996 617.117,349.966 617.129,349.997 617.141,350.052 617.153,350.145 617.165,350.202 617.177,350.246 \n",
+       "  617.224,350.209 617.236,350.092 617.248,350.051 617.26,350.07 617.272,350.031 617.284,350.025 617.296,349.993 617.308,349.967 617.32,349.991 617.332,349.926 \n",
+       "  617.344,349.877 617.356,349.888 617.367,349.879 617.379,349.943 617.391,349.915 617.403,349.895 617.415,349.902 617.427,349.94 617.439,350.016 617.451,349.997 \n",
+       "  617.463,349.996 617.474,350.062 617.486,350.131 617.498,350.211 617.51,350.21 617.522,350.242 617.534,350.236 617.676,350.249 617.688,350.254 617.723,350.239 \n",
+       "  618.066,350.216 618.077,350.153 618.089,350.077 618.101,350.06 618.113,350.095 618.124,350.16 618.136,350.196 618.148,350.2 618.16,350.194 618.172,350.199 \n",
+       "  618.183,350.195 618.195,350.218 618.207,350.148 618.218,350.218 618.277,350.207 618.289,350.159 618.301,350.139 618.312,350.172 618.324,350.177 618.336,350.184 \n",
+       "  618.348,350.202 618.359,350.258 618.488,350.181 618.5,350.179 618.511,350.186 618.523,350.234 618.64,350.245 618.651,350.148 618.663,350.096 618.675,350.096 \n",
+       "  618.686,350.052 618.698,350.078 618.71,350.162 618.721,350.247 618.745,350.227 618.756,350.258 618.768,350.26 618.78,350.212 618.791,350.171 618.803,350.13 \n",
+       "  618.815,350.091 618.826,350.119 618.838,350.133 618.849,350.172 618.861,350.233 618.873,350.247 618.919,350.249 618.931,350.235 618.942,350.225 618.954,350.237 \n",
+       "  618.966,350.252 619.243,350.257 619.255,350.218 619.589,350.22 619.601,350.184 619.612,350.194 619.624,350.233 619.727,350.254 619.738,350.2 619.75,350.183 \n",
+       "  619.761,350.178 619.83,350.233 619.842,350.24 619.853,350.242 619.864,350.247 619.876,350.239 620.116,350.228 620.127,350.162 620.138,350.104 620.15,350.113 \n",
+       "  620.161,350.199 620.173,350.246 620.184,350.255 620.559,350.25 620.57,350.23 620.638,350.243 620.649,350.177 620.66,350.15 620.672,350.099 620.683,350.095 \n",
+       "  620.694,350.078 620.706,350.108 620.717,350.16 620.728,350.149 620.739,350.134 620.751,350.126 620.762,350.173 620.773,350.175 620.785,350.154 620.796,350.12 \n",
+       "  620.807,350.122 620.818,350.163 620.83,350.15 620.841,350.142 620.852,350.183 620.863,350.189 620.875,350.239 620.886,350.241 620.897,350.197 620.909,350.175 \n",
+       "  620.92,350.202 620.931,350.191 620.942,350.207 620.999,350.244 621.01,350.187 621.021,350.127 621.032,350.09 621.043,350.061 621.055,350.071 621.066,350.076 \n",
+       "  621.077,350.062 621.088,350.05 621.1,350.023 621.111,350.074 621.122,350.068 621.133,350.064 621.144,350.054 621.156,350.041 621.167,350.079 621.178,350.144 \n",
+       "  621.189,350.195 621.201,350.169 621.212,350.186 621.38,350.24 621.391,350.196 621.402,350.174 621.413,350.179 621.424,350.187 621.435,350.228 621.592,350.253 \n",
+       "  621.603,350.253 621.714,350.187 621.725,350.149 621.736,350.16 621.747,350.197 621.836,350.193 621.847,350.188 621.858,350.196 621.869,350.175 621.88,350.177 \n",
+       "  621.892,350.17 621.903,350.124 621.914,350.131 621.925,350.16 621.936,350.189 621.947,350.186 621.958,350.155 621.969,350.137 621.98,350.114 621.991,350.18 \n",
+       "  622.002,350.14 622.013,350.154 622.024,350.184 622.035,350.2 622.047,350.243 622.278,350.223 622.289,350.235 622.3,350.26 622.344,350.25 622.355,350.217 \n",
+       "  622.366,350.249 622.377,350.207 622.388,350.164 622.399,350.16 622.41,350.192 622.421,350.173 622.432,350.187 622.443,350.212 622.454,350.236 622.465,350.206 \n",
+       "  622.476,350.184 622.487,350.138 622.498,350.144 622.509,350.206 622.717,350.162 622.728,350.083 622.739,350.06 622.75,350.093 622.761,350.073 622.772,350.092 \n",
+       "  622.783,350.134 622.794,350.099 622.805,350.077 622.816,350.083 622.827,350.053 622.838,350.028 622.849,350.05 622.86,350.043 622.871,350.043 622.881,350.026 \n",
+       "  622.892,350.048 622.903,350.076 622.914,350.107 622.925,350.112 622.936,350.119 622.947,350.148 622.958,350.174 622.969,350.196 622.98,350.223 622.99,350.194 \n",
+       "  623.001,350.193 623.012,350.244 623.121,350.258 623.132,350.189 623.143,350.158 623.154,350.15 623.165,350.128 623.175,350.054 623.186,350.01 623.197,349.949 \n",
+       "  623.208,349.952 623.219,349.962 623.23,349.938 623.241,349.923 623.251,349.881 623.262,349.929 623.273,349.954 623.284,349.964 623.295,349.96 623.306,349.953 \n",
+       "  623.316,349.911 623.327,349.882 623.338,349.851 623.349,349.839 623.36,349.874 623.371,349.983 623.382,350.128 623.392,350.241 623.576,350.262 623.587,350.179 \n",
+       "  623.598,350.17 623.609,350.17 623.619,350.187 623.63,350.183 623.641,350.153 623.652,350.143 623.662,350.12 623.673,350.094 623.684,350.111 623.695,350.167 \n",
+       "  623.706,350.226 623.716,350.245 623.727,350.257 623.738,350.235 623.749,350.176 623.759,350.13 623.77,350.136 623.781,350.187 623.856,350.229 623.867,350.258 \n",
+       "  623.974,350.262 623.985,350.212 623.996,350.143 624.007,350.129 624.017,350.122 624.028,350.202 624.039,350.242 624.049,350.252 624.135,350.234 624.146,350.154 \n",
+       "  624.156,350.117 624.167,350.098 624.178,350.115 624.189,350.151 624.199,350.195 624.295,350.247 624.306,350.216 624.317,350.169 624.327,350.141 624.338,350.141 \n",
+       "  624.349,350.122 624.359,350.067 624.37,350.046 624.381,350.02 624.391,350.046 624.402,350.079 624.413,350.09 624.423,350.09 624.434,350.161 624.445,350.166 \n",
+       "  624.455,350.177 624.466,350.17 624.477,350.227 624.668,350.245 624.679,350.229 624.689,350.174 624.7,350.16 624.71,350.15 624.721,350.18 624.732,350.207 \n",
+       "  624.742,350.233 624.901,350.256 624.912,350.259 624.933,350.229 624.943,350.186 624.954,350.152 624.964,350.126 624.975,350.12 624.986,350.162 624.996,350.148 \n",
+       "  625.007,350.217 625.175,350.22 625.186,350.162 625.196,350.169 625.207,350.169 625.217,350.176 625.228,350.23 625.238,350.263 625.249,350.251 625.259,350.232 \n",
+       "  625.27,350.169 625.281,350.069 625.291,350.015 625.302,350.021 625.312,350.011 625.323,350.03 625.333,350.07 625.344,350.092 625.354,350.13 625.365,350.133 \n",
+       "  625.375,350.149 625.386,350.174 625.396,350.125 625.407,350.108 625.417,350.154 625.427,350.199 625.438,350.23 625.448,350.212 625.459,350.236 625.469,350.177 \n",
+       "  625.48,350.068 625.49,350.05 625.501,350.033 625.511,350.01 625.522,349.972 625.532,349.978 625.543,350.004 625.553,350.071 625.564,350.151 625.574,350.219 \n",
+       "  625.585,350.202 625.595,350.197 625.606,350.216 626.199,350.232 626.209,350.193 626.22,350.254 626.24,350.245 626.251,350.179 626.261,350.133 626.271,350.095 \n",
+       "  626.282,350.058 626.292,350.021 626.302,350.007 626.313,350.062 626.323,350.072 626.333,350.115 626.344,350.096 626.354,350.058 626.364,350.099 626.375,350.025 \n",
+       "  626.385,350.003 626.395,350.012 626.406,350.021 626.416,350.037 626.426,350.144 626.437,350.229 626.509,350.246 626.519,350.261 626.591,350.209 626.602,350.183 \n",
+       "  626.612,350.181 626.622,350.224 626.633,350.189 626.643,350.224 626.653,350.26 626.674,350.252 626.684,350.238 626.705,350.216 626.715,350.25 626.725,350.236 \n",
+       "  626.735,350.221 626.797,350.238 626.807,350.198 626.818,350.182 626.828,350.179 626.838,350.176 626.848,350.084 626.859,350.074 626.869,350.092 626.879,350.08 \n",
+       "  626.889,350.123 626.9,350.15 626.91,350.199 626.941,350.249 626.951,350.243 626.961,350.245 626.992,350.257 627.002,350.222 627.012,350.241 627.145,350.239 \n",
+       "  627.155,350.221 627.165,350.199 627.176,350.187 627.186,350.217 627.196,350.255 627.318,350.21 627.329,350.165 627.339,350.153 627.349,350.173 627.359,350.224 \n",
+       "  627.369,350.247 627.379,350.215 627.39,350.184 627.4,350.129 627.41,350.109 627.42,350.132 627.43,350.141 627.44,350.107 627.451,350.125 627.461,350.133 \n",
+       "  627.471,350.092 627.481,350.091 627.491,350.073 627.501,350.121 627.511,350.135 627.522,350.217 627.532,350.241 627.542,350.208 627.552,350.19 627.562,350.169 \n",
+       "  627.572,350.185 627.583,350.217 627.603,350.251 627.643,350.227 627.653,350.227 627.684,350.238 627.694,350.237 627.714,350.237 627.724,350.25 627.734,350.257 \n",
+       "  627.745,350.226 627.755,350.147 627.765,350.124 627.775,350.128 627.785,350.18 627.926,350.223 627.936,350.169 627.946,350.145 627.957,350.164 627.967,350.245 \n",
+       "  628.768,350.189 628.778,350.134 628.788,350.101 628.798,350.081 628.808,349.995 628.818,349.936 628.827,349.959 628.837,349.917 628.847,349.936 628.857,349.977 \n",
+       "  628.867,349.999 628.877,350.003 628.887,350.007 628.897,350.044 628.907,350.122 628.917,350.166 628.927,350.209 628.937,350.253 628.947,350.245 629.214,350.202 \n",
+       "  629.224,350.236 629.244,350.245 629.254,350.184 629.263,350.181 629.273,350.195 629.283,350.176 629.293,350.136 629.303,350.145 629.313,350.166 629.323,350.179 \n",
+       "  629.333,350.207 629.342,350.24 629.352,350.25 629.362,350.212 629.372,350.238 629.48,350.242 629.49,350.217 629.5,350.156 629.51,350.142 629.52,350.101 \n",
+       "  629.53,350.103 629.539,350.145 629.549,350.196 629.559,350.22 629.569,350.154 629.579,350.174 629.647,350.252 629.657,350.242 629.667,350.246 629.755,350.237 \n",
+       "  629.765,350.165 629.775,350.156 629.785,350.101 629.795,350.161 629.804,350.131 629.814,350.147 629.824,350.176 629.834,350.123 629.843,350.192 629.853,350.188 \n",
+       "  629.863,350.213 629.873,350.173 629.883,350.262 629.892,350.248 629.931,350.242 629.941,350.163 629.951,350.137 629.961,350.117 629.971,350.086 629.98,350.071 \n",
+       "  629.99,350.098 630,350.005 630.01,350.016 630.019,350.071 630.029,350.126 630.039,350.158 630.049,350.157 630.058,350.178 630.068,350.186 630.078,350.224 \n",
+       "  630.088,350.236 630.097,350.238 630.107,350.192 630.117,350.173 630.127,350.164 630.136,350.168 630.146,350.187 630.156,350.209 630.292,350.242 630.302,350.246 \n",
+       "  630.583,350.215 630.593,350.147 630.602,350.17 630.612,350.129 630.622,350.109 630.631,350.115 630.641,350.126 630.651,350.153 630.66,350.204 630.67,350.185 \n",
+       "  630.68,350.157 630.689,350.115 630.699,350.099 630.709,350.118 630.718,350.066 630.728,350.057 630.737,350.074 630.747,350.088 630.757,350.073 630.766,350.121 \n",
+       "  630.776,350.125 630.786,350.139 630.795,350.084 630.805,350.146 630.815,350.17 630.824,350.208 630.834,350.215 630.844,350.184 630.853,350.099 630.863,349.995 \n",
+       "  630.872,349.995 630.882,350.062 630.892,350.104 630.901,350.169 630.978,350.261 631.276,350.262 631.295,350.241 631.323,350.25 631.333,350.174 631.343,350.147 \n",
+       "  631.352,350.103 631.362,350.118 631.371,350.133 631.381,350.129 631.39,350.224 631.4,350.217 631.409,350.233 631.476,350.247 631.486,350.254 631.495,350.18 \n",
+       "  631.505,350.14 631.514,350.103 631.524,350.136 631.533,350.119 631.543,350.074 631.552,350.022 631.562,349.947 631.572,349.931 631.581,349.919 631.591,349.947 \n",
+       "  631.6,350.008 631.61,350.135 631.619,350.253 631.781,350.242 631.79,350.238 631.8,350.253 631.857,350.258 631.904,350.234 631.914,350.225 631.923,350.255 \n",
+       "  631.951,350.211 631.961,350.174 631.97,350.237 631.98,350.217 631.989,350.233 631.999,350.222 632.008,350.24 632.018,350.219 632.027,350.235 632.037,350.231 \n",
+       "  632.046,350.144 632.055,350.179 632.065,350.22 632.074,350.184 632.084,350.147 632.093,350.161 632.103,350.068 632.112,349.94 632.122,349.845 632.131,349.811 \n",
+       "  632.14,349.786 632.15,349.845 632.159,349.888 632.169,349.979 632.178,350.058 632.188,350.099 632.197,350.188 632.235,350.201 632.244,350.244 632.254,350.252 \n",
+       "  632.272,350.26 632.442,350.25 632.517,350.22 632.526,350.159 632.536,350.083 632.545,350.062 632.554,350.016 632.564,350.015 632.573,350.002 632.583,350.017 \n",
+       "  632.592,350.038 632.601,350.119 632.611,350.203 632.62,350.258 632.629,350.239 632.639,350.19 632.648,350.172 632.658,350.157 632.667,350.198 632.676,350.223 \n",
+       "  633.096,350.257 633.18,350.232 633.189,350.146 633.198,350.123 633.208,350.121 633.217,350.079 633.226,350.013 633.235,349.944 633.245,349.861 633.254,349.868 \n",
+       "  633.263,349.819 633.273,349.804 633.282,349.839 633.291,349.917 633.3,349.994 633.31,350.064 633.319,350.066 633.328,350.085 633.337,350.075 633.347,350.088 \n",
+       "  633.356,350.065 633.365,350.051 633.375,350.079 633.384,350.183 633.393,350.204 633.402,350.203 633.495,350.149 633.504,350.038 633.513,349.985 633.522,349.981 \n",
+       "  633.532,349.988 633.541,350.026 633.55,350.138 633.559,350.166 633.569,350.227 633.67,350.19 633.679,350.169 633.689,350.147 633.698,350.19 633.79,350.25 \n",
+       "  633.799,350.197 633.808,350.185 633.817,350.158 633.827,350.221 633.836,350.254 633.955,350.246 634.038,350.242 634.047,350.211 634.056,350.179 634.065,350.11 \n",
+       "  634.074,350.105 634.084,350.125 634.093,350.102 634.102,350.063 634.111,349.998 634.12,349.943 634.129,349.961 634.138,349.993 634.148,349.994 634.157,350.071 \n",
+       "  634.166,350.088 634.175,350.084 634.184,350.179 634.193,350.177 634.202,350.162 634.212,350.239 634.676,350.251 634.712,350.191 634.721,350.112 634.73,350.111 \n",
+       "  634.739,350.13 634.748,350.085 634.758,350.062 634.767,350.094 634.776,350.078 634.785,350.071 634.794,350.095 634.803,350.195 635.038,350.224 635.047,350.103 \n",
+       "  635.056,350.022 635.065,350.046 635.074,350.04 635.083,350.021 635.092,350.075 635.101,350.1 635.11,350.095 635.119,350.102 635.128,350.112 635.137,350.15 \n",
+       "  635.146,350.186 635.155,350.185 635.317,350.254 635.326,350.219 635.335,350.199 635.344,350.138 635.353,350.161 635.362,350.118 635.371,350.056 635.38,350.07 \n",
+       "  635.389,350.124 635.398,350.197 635.407,350.251 635.568,350.243 635.577,350.201 635.586,350.132 635.595,350.142 635.604,350.169 635.613,350.125 635.621,350.058 \n",
+       "  635.63,350.084 635.639,350.101 635.648,350.064 635.657,350.037 635.666,350.042 635.675,350.024 635.684,350.011 635.693,350.051 635.702,350.116 635.711,350.22 \n",
+       "  635.72,350.258 635.729,350.257 635.809,350.251 635.818,350.093 635.827,350.076 635.836,350.101 635.845,350.083 635.853,350.032 635.862,350.03 635.871,350.055 \n",
+       "  635.88,349.992 635.889,350.006 635.898,350.034 635.907,350.017 635.916,350.078 635.925,350.117 635.934,350.162 635.942,350.242 635.951,350.221 635.96,350.262 \n",
+       "  636.04,350.257 636.067,350.232 636.076,350.223 636.085,350.229 636.093,350.208 636.102,350.193 636.111,350.186 636.12,350.151 636.129,350.158 636.138,350.205 \n",
+       "  636.147,350.252 636.2,350.26 636.209,350.132 636.218,350.053 636.226,350.03 636.235,350.092 636.244,350.171 636.253,350.182 636.262,350.191 636.271,350.175 \n",
+       "  636.28,350.12 636.288,350.019 636.297,350.02 636.306,350.082 636.315,350.157 636.386,350.16 636.394,350.134 636.403,350.17 636.412,350.137 636.421,350.158 \n",
+       "  636.43,350.249 636.544,350.155 636.553,350.083 636.562,350.032 636.571,349.974 636.58,349.946 636.588,349.895 636.597,349.918 636.606,349.994 636.615,349.994 \n",
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+       "  637.558,350.198 637.567,350.203 637.593,350.225 637.602,350.242 637.628,350.224 637.636,350.262 637.671,350.229 637.68,350.222 637.697,350.256 637.705,350.208 \n",
+       "  637.714,350.167 637.723,350.151 637.731,350.148 637.74,350.112 637.749,350.079 637.757,350.019 637.766,349.962 637.775,349.987 637.783,349.993 637.792,350.006 \n",
+       "  637.801,349.894 637.809,349.88 637.818,349.898 637.827,349.928 637.835,349.904 637.844,349.974 637.852,349.999 637.861,350.058 637.87,350.168 637.878,350.184 \n",
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+       "  637.973,350.21 638.094,350.243 638.162,350.24 638.171,350.126 638.18,350.038 638.188,350.035 638.197,350.105 638.205,350.245 638.343,350.181 638.351,350.142 \n",
+       "  638.36,350.164 638.368,350.243 638.377,350.245 638.59,350.255 638.607,350.233 638.616,350.249 638.625,350.198 638.633,350.176 638.642,350.173 638.65,350.184 \n",
+       "  638.735,350.243 638.744,350.177 638.752,350.101 638.761,350.086 638.769,350.039 638.778,350.062 638.786,350.072 638.795,350.062 638.803,350.069 638.812,350.124 \n",
+       "  638.82,350.132 638.829,350.105 638.837,350.124 638.846,350.151 638.854,350.188 638.863,350.135 638.871,350.07 638.88,350.012 638.888,349.965 638.897,349.923 \n",
+       "  638.905,349.949 638.914,350.002 638.922,350.116 638.931,350.145 638.939,350.225 639.05,350.222 639.058,350.179 639.066,350.216 639.075,350.233 639.1,350.242 \n",
+       "  639.109,350.211 639.117,350.207 639.134,350.239 639.143,350.152 639.151,350.173 639.16,350.181 639.168,350.172 639.176,350.098 639.185,350.096 639.193,350.181 \n",
+       "  639.202,350.243 639.219,350.247 639.236,350.245 639.244,350.184 639.252,350.194 639.261,350.256 639.43,350.148 639.438,350.082 639.446,350.055 639.455,350.03 \n",
+       "  639.463,350.002 639.472,349.994 639.48,350.004 639.488,350.063 639.497,350.153 639.505,350.197 639.514,350.228 639.522,350.213 639.589,350.248 639.598,350.243 \n",
+       "  639.606,350.253 639.615,350.256 639.623,350.21 639.631,350.231 639.64,350.258 639.648,350.258 639.665,350.217 639.673,350.109 639.682,350.079 639.69,350.102 \n",
+       "  639.698,350.144 639.707,350.171 639.715,350.171 639.724,350.201 639.858,350.211 639.866,350.208 639.874,350.228 639.891,350.236 639.899,350.236 639.908,350.239 \n",
+       "  639.916,350.227 640,350.157 640.008,350.062 640.016,350.066 640.025,350.106 640.033,350.136 640.041,350.164 640.05,350.255 640.083,350.228 640.091,350.196 \n",
+       "  640.1,350.106 640.108,350.136 640.116,350.158 640.125,350.245 640.507,350.227 640.515,350.259 640.631,350.219 640.639,350.185 640.647,350.194 640.656,350.129 \n",
+       "  640.664,350.123 640.672,350.145 640.68,350.105 640.689,350.125 640.697,350.102 640.705,350.004 640.713,349.978 640.722,350.021 640.73,349.98 640.738,349.881 \n",
+       "  640.746,349.898 640.755,349.992 640.763,350.045 640.771,350.077 640.779,350.08 640.788,350.147 640.796,350.227 640.862,350.24 640.87,350.22 640.878,350.177 \n",
+       "  640.886,350.202 640.895,350.196 640.903,350.22 640.911,350.235 640.919,350.25 641.116,350.262 641.125,350.221 641.133,350.195 641.141,350.175 641.149,350.136 \n",
+       "  641.157,350.173 641.166,350.179 641.174,350.125 641.182,350.093 641.19,350.15 641.198,350.169 641.207,350.196 641.215,350.182 641.223,350.099 641.231,350.086 \n",
+       "  641.239,350.008 641.248,350.028 641.256,350.073 641.264,350.152 641.272,350.156 641.346,350.231 641.354,350.09 641.362,350.038 641.37,349.976 641.378,349.915 \n",
+       "  641.387,349.886 641.395,349.828 641.403,349.823 641.411,349.793 641.419,349.708 641.427,349.632 641.436,349.601 641.444,349.626 641.452,349.676 641.46,349.729 \n",
+       "  641.468,349.801 641.476,349.854 641.484,349.872 641.493,349.949 641.501,349.944 641.509,349.893 641.517,349.871 641.525,349.852 641.533,349.871 641.542,350.019 \n",
+       "  641.55,350.041 641.558,350.082 641.566,350.087 641.574,350.034 641.582,350.016 641.59,350.031 641.599,349.936 641.607,349.961 641.615,349.997 641.623,349.983 \n",
+       "  641.631,350.011 641.639,350.018 641.647,349.925 641.655,349.826 641.664,349.668 641.672,349.657 641.68,349.777 641.688,349.862 641.696,349.866 641.704,349.871 \n",
+       "  641.712,349.938 641.72,350.016 641.729,350.065 641.737,350.131 641.745,350.224 642.109,350.131 642.117,350.034 642.125,350.005 642.133,349.957 642.142,349.927 \n",
+       "  642.15,349.933 642.158,349.986 642.166,350.037 642.174,350.057 642.182,350.107 642.19,350.236 642.391,350.239 642.399,350.228 642.407,350.242 642.415,350.214 \n",
+       "  642.423,350.139 642.431,350.06 642.439,350.075 642.447,350.034 642.455,350.008 642.464,350.087 642.472,350.181 642.512,350.238 642.52,350.149 642.528,350.084 \n",
+       "  642.536,349.993 642.544,350.042 642.552,350.185 642.824,350.213 642.832,350.147 642.84,350.117 642.848,350.146 642.904,350.25 642.912,350.217 642.92,350.133 \n",
+       "  642.928,350.138 642.936,350.11 642.943,350.135 642.951,350.116 642.959,350.052 642.967,349.971 642.975,349.891 642.983,349.796 642.991,349.787 642.999,349.801 \n",
+       "  643.007,349.772 643.015,349.808 643.023,349.78 643.031,349.779 643.039,349.716 643.047,349.68 643.055,349.688 643.063,349.73 643.071,349.868 643.079,349.884 \n",
+       "  643.087,349.929 643.095,349.968 643.103,350.007 643.111,350.033 643.119,350.046 643.127,350.035 643.134,350.058 643.142,350.126 643.15,350.125 643.158,350.124 \n",
+       "  643.166,350.035 643.174,349.981 643.182,349.988 643.19,349.992 643.198,350.031 643.206,350.009 643.214,350.07 643.222,350.133 643.23,350.074 643.238,350.023 \n",
+       "  643.246,350.034 643.254,350.009 643.261,349.989 643.269,349.893 643.277,349.89 643.285,349.887 643.293,349.94 643.301,349.978 643.309,350.035 643.317,349.968 \n",
+       "  643.325,349.911 643.333,349.803 643.341,349.849 643.349,349.954 643.357,350.057 643.364,350.114 643.372,350.12 643.38,350.173 643.388,350.231 643.396,350.222 \n",
+       "  643.404,350.203 643.412,350.206 643.459,350.235 643.467,350.243 643.475,350.227 643.483,350.212 643.515,350.233 643.523,350.182 643.531,350.17 643.538,350.208 \n",
+       "  643.554,350.256 643.609,350.245 643.617,350.224 643.625,350.041 643.633,349.995 643.641,350.015 643.649,349.987 643.657,350.004 643.665,349.945 643.673,349.884 \n",
+       "  643.68,349.853 643.688,349.927 643.696,350.046 643.704,350.029 643.712,349.988 643.72,349.899 643.728,349.87 643.736,349.789 643.743,349.777 643.751,349.823 \n",
+       "  643.759,349.923 643.767,350.134 643.83,350.254 643.838,350.235 643.869,350.219 643.877,350.194 643.885,350.202 643.893,350.207 643.901,350.237 643.908,350.259 \n",
+       "  643.956,350.17 643.963,350.042 643.971,350.038 643.979,349.972 643.987,350.024 643.995,350.131 644.003,350.226 644.01,350.257 644.018,350.185 644.026,350.159 \n",
+       "  644.034,350.19 644.042,350.181 644.331,350.22 644.339,350.221 644.463,350.186 644.471,350.179 644.479,350.112 644.487,350.071 644.494,350.127 644.502,350.136 \n",
+       "  644.51,350.196 644.564,350.239 644.572,350.2 644.58,350.206 644.588,350.232 644.596,350.182 644.603,350.211 644.611,350.234 644.619,350.162 644.627,350.047 \n",
+       "  644.634,350.002 644.642,349.993 644.65,349.936 644.658,349.961 644.665,350.033 644.673,350.083 644.681,350.134 644.689,350.214 644.696,350.215 644.704,350.229 \n",
+       "  644.712,350.252 644.72,350.249 644.727,350.26 644.735,350.245 644.751,350.233 644.758,350.182 644.766,350.19 644.774,350.218 644.782,350.136 644.789,350.017 \n",
+       "  644.797,349.897 644.805,349.815 644.813,349.81 644.82,349.839 644.828,349.963 644.836,350.046 644.844,350.065 644.851,350.029 644.859,349.934 644.867,349.889 \n",
+       "  644.874,349.875 644.882,349.867 644.89,349.936 644.898,349.997 644.905,350.049 644.913,350.058 644.921,350.067 644.929,350.151 644.936,350.187 644.944,350.195 \n",
+       "  644.952,350.255 645.145,350.227 645.152,350.054 645.16,349.986 645.168,350.025 645.175,350.059 645.183,350.086 645.191,350.041 645.198,350.046 645.206,349.992 \n",
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+       "<text style=\"fill:#000000; fill-opacity:1; font-family:Arial,Helvetica Neue,Helvetica,sans-serif; font-size:12; text-anchor:start;\" transform=\"rotate(0, 526.898, 97.671)\" x=\"526.898\" y=\"97.671\">2.5</text>\n",
+       "</g>\n",
+       "<polyline clip-path=\"url(#clip6200)\" style=\"stroke:#ac8d18; stroke-width:1; stroke-opacity:1; fill:none\" points=\"\n",
+       "  484.898,108.291 520.898,108.291 \n",
+       "  \"/>\n",
+       "<g clip-path=\"url(#clip6200)\">\n",
+       "<text style=\"fill:#000000; fill-opacity:1; font-family:Arial,Helvetica Neue,Helvetica,sans-serif; font-size:12; text-anchor:start;\" transform=\"rotate(0, 526.898, 112.791)\" x=\"526.898\" y=\"112.791\">4.0</text>\n",
+       "</g>\n",
+       "</svg>\n"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "'latex' is not recognized as an internal or external command,\r\n",
+      "operable program or batch file.\r\n",
+      "latex: failed to create a dvi file\n"
+     ]
+    }
+   ],
+   "source": [
+    "@df @where(ts,:autocor.>0.)  plot(:t, :autocor, group=:T, xscale=:log10, xlim=(1,3000),\n",
+    "    xlabel=\"timesteps\", ylabel=L\"\\langle M(T-t)M(t)\\rangle\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Timeseries & histogram of the magnetisation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "271.956514 seconds (10.85 k allocations: 29.612 MiB, 0.08% gc time)\n"
+     ]
+    }
+   ],
+   "source": [
+    "@time  magnetization = let Tmax=50000,L=100\n",
+    "mapreduce(vcat, [4.,2.5,Tc,2.0,1.0]) do T\n",
+    "    df = DataFrame()\n",
+    "    df[:t] = collect(1:Tmax)\n",
+    "    df[:L] = L\n",
+    "    df[:T] = T\n",
+    "\n",
+    "    df[:m] = metropolis_timeseries(L,1/T,Tmax*L^2,L^2,0)\n",
+    "    df\n",
+    "end\n",
+    "end;"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "magnetization = CSV.read(\"example_data\\\\magnetization-ts-N100.tsv\",delim='\\t');"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "CSV.Sink{Void,DataType}(    CSV.Options:\n",
+       "        delim: '\t'\n",
+       "        quotechar: '\"'\n",
+       "        escapechar: '\\\\'\n",
+       "        missingstring: \"\"\n",
+       "        dateformat: nothing\n",
+       "        decimal: '.'\n",
+       "        truestring: 'true'\n",
+       "        falsestring: 'false'\n",
+       "        internstrings: true, IOBuffer(data=UInt8[...], readable=true, writable=true, seekable=true, append=false, size=0, maxsize=Inf, ptr=1, mark=-1), \"example_data\\\\magnetization-ts-N100.tsv\", 8, true, String[\"t\", \"L\", \"T\", \"m\"], 4, false, Val{false})"
+      ]
+     },
+     "execution_count": 62,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "CSV.write(\"example_data\\\\magnetization-ts-N100.tsv\",magnetization,delim='\\t');"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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"
+     },
+     "execution_count": 75,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "@df magnetization plot(:t,(:m), group=:T, xlabel=\"timesteps\", ylabel=\"magnetization\", label=:T, alpha=0.6)\n",
+    "hline!([-1.,+1.], lw=2, lab=\"\", ls=:dash, c=:orange)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "ename": "LoadError",
+     "evalue": "\u001b[91mUndefVarError: @df not defined\u001b[39m",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[91mUndefVarError: @df not defined\u001b[39m",
+      ""
+     ]
+    }
+   ],
+   "source": [
+    "@df magnetization density(:m, group=:T,alpha=0.6, normalize=true, size=(800,600), lw=3)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Simulation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "obs = DataFrame(Float64,0,7)\n",
+    "names!(obs,[:L,:T,:e,:e2,:m,:m2,:m4])\n",
+    "\n",
+    "## Temperature range\n",
+    "Ts = linspace(2.6,2.0,50)\n",
+    "Ls = [10,30,50,100]\n",
+    "\n",
+    "for L in Ls\n",
+    "@everywhere begin state=randomConfiguration($L); end\n",
+    "@time map(pmap(Ts) do T\n",
+    "        println(\"T=$T\")\n",
+    "            \n",
+    "#       result = run_wolff(L, 1/T,0.;Tmax=10*10^3,sweep=100*L^2,poll_interval=1)\n",
+    "#       result = run_metropolis(L, 1/T,0.;Tmax=50*10^3*L^2,sweep=1000*L^2,poll_interval=10*L^2)\n",
+    "            \n",
+    "        sweep!(state,1000*(L^2),1/T,0.)            \n",
+    "        result = _run_metropolis!(state, 1/T,0.;Tmax=1000*10^3*L^2,poll_interval=100*L^2)\n",
+    "\n",
+    "        E = result[1]\n",
+    "        E2 = result[2]\n",
+    "        mag = result[3]\n",
+    "        mag2 = result[4]\n",
+    "        mag4 = result[5]\n",
+    "        [L,T,E,E2,mag,mag2,mag4]'\n",
+    "    end) do row\n",
+    "        #println(row)\n",
+    "        push!(obs,row);\n",
+    "    end;\n",
+    "end\n",
+    "   \n",
+    "# obs[:t] = obs[:T]-Tc;\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "__Calculate susc. & heat capacity__"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "obs[:c] = (obs[:e2].-obs[:e].^2)./(obs[:T].^2)./obs[:L].^2;\n",
+    "obs[:chi] = (obs[:m2].-obs[:m].^2)./obs[:T].*obs[:L].^2;"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "__Save/load data__"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "LoadError",
+     "evalue": "\u001b[91mTypeError: Type: in typeassert, expected Char, got String\u001b[39m",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[91mTypeError: Type: in typeassert, expected Char, got String\u001b[39m",
+      "",
+      "Stacktrace:",
+      " [1] \u001b[1m(::Core.#kw#Type)\u001b[22m\u001b[22m\u001b[1m(\u001b[22m\u001b[22m::Array{Any,1}, ::Type{CSV.Sink}, ::String\u001b[1m)\u001b[22m\u001b[22m at \u001b[1m.\\<missing>:0\u001b[22m\u001b[22m",
+      " [2] \u001b[1m#Sink#50\u001b[22m\u001b[22m\u001b[1m(\u001b[22m\u001b[22m::Array{UInt8,1}, ::Array{Any,1}, ::Type{T} where T, ::DataStreams.Data.Schema{true,Tuple{Union{Float64, Missings.Missing},Union{Float64, Missings.Missing},Union{Float64, Missings.Missing},Union{Float64, Missings.Missing},Union{Float64, Missings.Missing},Union{Float64, Missings.Missing},Union{Float64, Missings.Missing},Float64,Float64}}, ::Type{T} where T, ::Bool, ::String\u001b[1m)\u001b[22m\u001b[22m at \u001b[1mC:\\Users\\stephan\\.julia\\v0.6\\CSV\\src\\Sink.jl:39\u001b[22m\u001b[22m",
+      " [3] \u001b[1m(::Core.#kw#Type)\u001b[22m\u001b[22m\u001b[1m(\u001b[22m\u001b[22m::Array{Any,1}, ::Type{CSV.Sink}, ::DataStreams.Data.Schema{true,Tuple{Union{Float64, Missings.Missing},Union{Float64, Missings.Missing},Union{Float64, Missings.Missing},Union{Float64, Missings.Missing},Union{Float64, Missings.Missing},Union{Float64, Missings.Missing},Union{Float64, Missings.Missing},Float64,Float64}}, ::Type{T} where T, ::Bool, ::String\u001b[1m)\u001b[22m\u001b[22m at \u001b[1m.\\<missing>:0\u001b[22m\u001b[22m",
+      " [4] \u001b[1m#stream!#122\u001b[22m\u001b[22m\u001b[1m(\u001b[22m\u001b[22m::Bool, ::Array{Any,1}, ::Function, ::DataFrames.DataFrame, ::DataStreams.Data.Query{0x01,Tuple{DataStreams.Data.QueryColumn{0x01,Union{Float64, Missings.Missing},1,1,:L,nothing,()},DataStreams.Data.QueryColumn{0x01,Union{Float64, Missings.Missing},2,2,:T,nothing,()},DataStreams.Data.QueryColumn{0x01,Union{Float64, Missings.Missing},3,3,:e,nothing,()},DataStreams.Data.QueryColumn{0x01,Union{Float64, Missings.Missing},4,4,:e2,nothing,()},DataStreams.Data.QueryColumn{0x01,Union{Float64, Missings.Missing},5,5,:m,nothing,()},DataStreams.Data.QueryColumn{0x01,Union{Float64, Missings.Missing},6,6,:m2,nothing,()},DataStreams.Data.QueryColumn{0x01,Union{Float64, Missings.Missing},7,7,:m4,nothing,()},DataStreams.Data.QueryColumn{0x01,Float64,8,8,:c,nothing,()},DataStreams.Data.QueryColumn{0x01,Float64,9,9,:chi,nothing,()}},(),nothing,nothing}, ::Type{CSV.Sink}, ::String, ::Vararg{String,N} where N\u001b[1m)\u001b[22m\u001b[22m at \u001b[1mC:\\Users\\stephan\\.julia\\v0.6\\DataStreams\\src\\query.jl:591\u001b[22m\u001b[22m",
+      " [5] \u001b[1m(::DataStreams.Data.#kw##stream!)\u001b[22m\u001b[22m\u001b[1m(\u001b[22m\u001b[22m::Array{Any,1}, ::DataStreams.Data.#stream!, ::DataFrames.DataFrame, ::DataStreams.Data.Query{0x01,Tuple{DataStreams.Data.QueryColumn{0x01,Union{Float64, Missings.Missing},1,1,:L,nothing,()},DataStreams.Data.QueryColumn{0x01,Union{Float64, Missings.Missing},2,2,:T,nothing,()},DataStreams.Data.QueryColumn{0x01,Union{Float64, Missings.Missing},3,3,:e,nothing,()},DataStreams.Data.QueryColumn{0x01,Union{Float64, Missings.Missing},4,4,:e2,nothing,()},DataStreams.Data.QueryColumn{0x01,Union{Float64, Missings.Missing},5,5,:m,nothing,()},DataStreams.Data.QueryColumn{0x01,Union{Float64, Missings.Missing},6,6,:m2,nothing,()},DataStreams.Data.QueryColumn{0x01,Union{Float64, Missings.Missing},7,7,:m4,nothing,()},DataStreams.Data.QueryColumn{0x01,Float64,8,8,:c,nothing,()},DataStreams.Data.QueryColumn{0x01,Float64,9,9,:chi,nothing,()}},(),nothing,nothing}, ::Type{CSV.Sink}, ::String, ::Vararg{String,N} where N\u001b[1m)\u001b[22m\u001b[22m at \u001b[1m.\\<missing>:0\u001b[22m\u001b[22m",
+      " [6] \u001b[1m#stream!#120\u001b[22m\u001b[22m\u001b[1m(\u001b[22m\u001b[22m::Bool, ::Dict{Int64,Function}, ::Function, ::Array{Any,1}, ::Array{Any,1}, ::Void, ::Void, ::Array{Any,1}, ::DataStreams.Data.#stream!, ::DataFrames.DataFrame, ::Type{CSV.Sink}, ::String, ::Vararg{String,N} where N\u001b[1m)\u001b[22m\u001b[22m at \u001b[1mC:\\Users\\stephan\\.julia\\v0.6\\DataStreams\\src\\query.jl:548\u001b[22m\u001b[22m",
+      " [7] \u001b[1m(::DataStreams.Data.#kw##stream!)\u001b[22m\u001b[22m\u001b[1m(\u001b[22m\u001b[22m::Array{Any,1}, ::DataStreams.Data.#stream!, ::DataFrames.DataFrame, ::Type{CSV.Sink}, ::String\u001b[1m)\u001b[22m\u001b[22m at \u001b[1m.\\<missing>:0\u001b[22m\u001b[22m",
+      " [8] \u001b[1m#write#53\u001b[22m\u001b[22m\u001b[1m(\u001b[22m\u001b[22m::Bool, ::Dict{Int64,Function}, ::Array{Any,1}, ::Function, ::String, ::DataFrames.DataFrame\u001b[1m)\u001b[22m\u001b[22m at \u001b[1mC:\\Users\\stephan\\.julia\\v0.6\\CSV\\src\\Sink.jl:136\u001b[22m\u001b[22m",
+      " [9] \u001b[1m(::CSV.#kw##write)\u001b[22m\u001b[22m\u001b[1m(\u001b[22m\u001b[22m::Array{Any,1}, ::CSV.#write, ::String, ::DataFrames.DataFrame\u001b[1m)\u001b[22m\u001b[22m at \u001b[1m.\\<missing>:0\u001b[22m\u001b[22m",
+      " [10] \u001b[1minclude_string\u001b[22m\u001b[22m\u001b[1m(\u001b[22m\u001b[22m::String, ::String\u001b[1m)\u001b[22m\u001b[22m at \u001b[1m.\\loading.jl:522\u001b[22m\u001b[22m"
+     ]
+    }
+   ],
+   "source": [
+    "CSV.write(\"example_data\\\\metropolis04-N10-30-50-100-longWait.tsv\", obs, delim=\"\\t\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "obs = CSV.read(\"example_data\\\\metropolis04-N10-30-50-100-longWait.tsv\", delim=\"\\t\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Analysis"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "__Estimate the critical temperature from the heat capacity__"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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"
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "@df obs plot(:T, abs.(:c), group=:L, legend=true,line=(:dash, 2.), marker=(:auto,3), xlabel=\"Temperature\", ylabel=\"spec. heat capacity\")\n",
+    "vline!([Tc Tc+0.006],lab=[\"Onsager\" \"numerical\"], lw=3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2.275185314213022"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Estimated critical temperature\n",
+    "Tcnum = Tc + 0.006"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "__Define reduced temperature__"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "obs[:t] = obs[:T]-Tcnum;"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "__Plot observables__"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div class='tex2jax_ignore interactbulma'>\n",
+       "<div class='display:none'></div><unsafe-script style='display:none'>\n",
+       "WebIO.mount(this.previousSibling,{&quot;props&quot;:{},&quot;nodeType&quot;:&quot;DOM&quot;,&quot;type&quot;:&quot;node&quot;,&quot;instanceArgs&quot;:{&quot;namespace&quot;:&quot;html&quot;,&quot;tag&quot;:&quot;div&quot;},&quot;children&quot;:[{&quot;props&quot;:{&quot;className&quot;:&quot;field&quot;},&quot;nodeType&quot;:&quot;DOM&quot;,&quot;type&quot;:&quot;node&quot;,&quot;instanceArgs&quot;:{&quot;namespace&quot;:&quot;html&quot;,&quot;tag&quot;:&quot;div&quot;},&quot;children&quot;:[{&quot;props&quot;:{},&quot;nodeType&quot;:&quot;Scope&quot;,&quot;type&quot;:&quot;node&quot;,&quot;instanceArgs&quot;:{&quot;imports&quot;:{&quot;data&quot;:[{&quot;name&quot;:&quot;knockout&quot;,&quot;type&quot;:&quot;js&quot;,&quot;url&quot;:&quot;/assetserver/8a094fff051271d812849cf281e4247f9c3764d6-knockout.js&quot;},{&quot;name&quot;:&quot;knockout_punches&quot;,&quot;type&quot;:&quot;js&quot;,&quot;url&quot;:&quot;/assetserver/d96b7b98d5eed327dafd8102a2c60534c402db54-knockout_punches.js&quot;},{&quot;name&quot;:null,&quot;type&quot;:&quot;js&quot;,&quot;url&quot;:&quot;/assetserver/c4c7295d601cc86158b29febb9ad9ab50a0dbac0-all.js&quot;},{&quot;name&quot;:null,&quot;type&quot;:&quot;css&quot;,&quot;url&quot;:&quot;/assetserver/d74d3b2c028b5fe765e3971af5c261b73e56adc1-style.css&quot;},{&quot;name&quot;:null,&quot;type&quot;:&quot;css&quot;,&quot;url&quot;:&quot;/assetserver/1994af079b9934526ebb6bfc204d8c114ed8b8f0-main.css&quot;}],&quot;type&quot;:&quot;async_block&quot;},&quot;id&quot;:&quot;knockout-component-ef3d88af-3b6b-48ec-abc8-9423b30cd43c&quot;,&quot;handlers&quot;:{&quot;_promises&quot;:{&quot;importsLoaded&quot;:[function (ko, koPunches) {\n",
+       "    ko.punches.enableAll();\n",
+       "    ko.bindingHandlers.numericValue = {\n",
+       "        init : function(element, valueAccessor, allBindings, data, context) {\n",
+       "            var stringified = ko.observable(ko.unwrap(valueAccessor()));\n",
+       "            stringified.subscribe(function(value) {\n",
+       "                var val = parseFloat(value);\n",
+       "                if (!isNaN(val)) {\n",
+       "                    valueAccessor()(val);\n",
+       "                }\n",
+       "            })\n",
+       "            valueAccessor().subscribe(function(value) {\n",
+       "                var str = JSON.stringify(value);\n",
+       "                if ((str == &quot;0&quot;) &amp;&amp; ([&quot;-0&quot;, &quot;-0.&quot;].indexOf(stringified()) &gt;= 0))\n",
+       "                     return;\n",
+       "                 if ([&quot;null&quot;, &quot;&quot;].indexOf(str) &gt;= 0)\n",
+       "                     return;\n",
+       "                stringified(str);\n",
+       "            })\n",
+       "            ko.applyBindingsToNode(element, { value: stringified, valueUpdate: allBindings.get(&#39;valueUpdate&#39;)}, context);\n",
+       "        }\n",
+       "    };\n",
+       "    var json_data = JSON.parse(&quot;{\\&quot;changes\\&quot;:0,\\&quot;internalvalue\\&quot;:2,\\&quot;value\\&quot;:30.0}&quot;);\n",
+       "    var self = this;\n",
+       "    function AppViewModel() {\n",
+       "        for (var key in json_data) {\n",
+       "            var el = json_data[key];\n",
+       "            this[key] = Array.isArray(el) ? ko.observableArray(el) : ko.observable(el);\n",
+       "        }\n",
+       "        \n",
+       "        [this[&quot;displayedvalue&quot;]=ko.computed(function () {return this.value().toPrecision(6);},this)]\n",
+       "        [this[&quot;changes&quot;].subscribe((function (val){!(this.valueFromJulia[&quot;changes&quot;]) ? (WebIO.setval({&quot;name&quot;:&quot;changes&quot;,&quot;scope&quot;:&quot;knockout-component-ef3d88af-3b6b-48ec-abc8-9423b30cd43c&quot;,&quot;id&quot;:&quot;ob_03&quot;,&quot;type&quot;:&quot;observable&quot;},val)) : undefined; return this.valueFromJulia[&quot;changes&quot;]=false}),self),this[&quot;internalvalue&quot;].subscribe((function (val){!(this.valueFromJulia[&quot;internalvalue&quot;]) ? (WebIO.setval({&quot;name&quot;:&quot;internalvalue&quot;,&quot;scope&quot;:&quot;knockout-component-ef3d88af-3b6b-48ec-abc8-9423b30cd43c&quot;,&quot;id&quot;:&quot;ob_02&quot;,&quot;type&quot;:&quot;observable&quot;},val)) : undefined; return this.valueFromJulia[&quot;internalvalue&quot;]=false}),self),this[&quot;value&quot;].subscribe((function (val){!(this.valueFromJulia[&quot;value&quot;]) ? (WebIO.setval({&quot;name&quot;:&quot;value&quot;,&quot;scope&quot;:&quot;knockout-component-ef3d88af-3b6b-48ec-abc8-9423b30cd43c&quot;,&quot;id&quot;:&quot;ob_01&quot;,&quot;type&quot;:&quot;observable&quot;},val)) : undefined; return this.valueFromJulia[&quot;value&quot;]=false}),self)]\n",
+       "        this.values = JSON.parse(&quot;[10.0,30.0,50.0,100.0]&quot;)\n",
+       "this.internalvalue.subscribe(function (value){\n",
+       "    this.value(this.values[value-1]);\n",
+       "}, this)\n",
+       "this.value.subscribe(function (value){\n",
+       "    var index = this.values.indexOf(value);\n",
+       "    this.internalvalue(index+1);\n",
+       "}, this)\n",
+       "\n",
+       "    }\n",
+       "    self.model = new AppViewModel();\n",
+       "    self.valueFromJulia = {};\n",
+       "    for (var key in json_data) {\n",
+       "        self.valueFromJulia[key] = false;\n",
+       "    }\n",
+       "    ko.applyBindings(self.model, self.dom);\n",
+       "}\n",
+       "]},&quot;changes&quot;:[(function (val){return (val!=this.model[&quot;changes&quot;]()) ? (this.valueFromJulia[&quot;changes&quot;]=true, this.model[&quot;changes&quot;](val)) : undefined})],&quot;internalvalue&quot;:[(function (val){return (val!=this.model[&quot;internalvalue&quot;]()) ? (this.valueFromJulia[&quot;internalvalue&quot;]=true, this.model[&quot;internalvalue&quot;](val)) : undefined})],&quot;value&quot;:[(function (val){return (val!=this.model[&quot;value&quot;]()) ? (this.valueFromJulia[&quot;value&quot;]=true, this.model[&quot;value&quot;](val)) : undefined})]},&quot;systemjs_options&quot;:null,&quot;observables&quot;:{&quot;changes&quot;:{&quot;sync&quot;:false,&quot;id&quot;:&quot;ob_03&quot;,&quot;value&quot;:0},&quot;internalvalue&quot;:{&quot;sync&quot;:false,&quot;id&quot;:&quot;ob_02&quot;,&quot;value&quot;:2},&quot;value&quot;:{&quot;sync&quot;:true,&quot;id&quot;:&quot;ob_01&quot;,&quot;value&quot;:30.0}}},&quot;children&quot;:[{&quot;props&quot;:{&quot;attributes&quot;:{&quot;style&quot;:&quot;display:flex; justify-content:center; align-items:center;&quot;}},&quot;nodeType&quot;:&quot;DOM&quot;,&quot;type&quot;:&quot;node&quot;,&quot;instanceArgs&quot;:{&quot;namespace&quot;:&quot;html&quot;,&quot;tag&quot;:&quot;div&quot;},&quot;children&quot;:[{&quot;props&quot;:{&quot;attributes&quot;:{&quot;style&quot;:&quot;text-align:right;width:18%&quot;}},&quot;nodeType&quot;:&quot;DOM&quot;,&quot;type&quot;:&quot;node&quot;,&quot;instanceArgs&quot;:{&quot;namespace&quot;:&quot;html&quot;,&quot;tag&quot;:&quot;div&quot;},&quot;children&quot;:[{&quot;props&quot;:{&quot;className&quot;:&quot;interact &quot;,&quot;style&quot;:{&quot;padding&quot;:&quot;5px 10px 0px 10px&quot;}},&quot;nodeType&quot;:&quot;DOM&quot;,&quot;type&quot;:&quot;node&quot;,&quot;instanceArgs&quot;:{&quot;namespace&quot;:&quot;html&quot;,&quot;tag&quot;:&quot;label&quot;},&quot;children&quot;:[&quot;L&quot;]}]},{&quot;props&quot;:{&quot;attributes&quot;:{&quot;style&quot;:&quot;flex-grow:1; margin: 0 2%&quot;}},&quot;nodeType&quot;:&quot;DOM&quot;,&quot;type&quot;:&quot;node&quot;,&quot;instanceArgs&quot;:{&quot;namespace&quot;:&quot;html&quot;,&quot;tag&quot;:&quot;div&quot;},&quot;children&quot;:[{&quot;props&quot;:{&quot;max&quot;:4,&quot;min&quot;:1,&quot;attributes&quot;:{&quot;type&quot;:&quot;range&quot;,&quot;data-bind&quot;:&quot;numericValue: internalvalue, valueUpdate: &#39;input&#39;, event: {change : function () {this.changes(this.changes()+1)}}&quot;},&quot;step&quot;:1,&quot;className&quot;:&quot;slider slider is-fullwidth&quot;,&quot;style&quot;:{}},&quot;nodeType&quot;:&quot;DOM&quot;,&quot;type&quot;:&quot;node&quot;,&quot;instanceArgs&quot;:{&quot;namespace&quot;:&quot;html&quot;,&quot;tag&quot;:&quot;input&quot;},&quot;children&quot;:[]}]},{&quot;props&quot;:{&quot;attributes&quot;:{&quot;style&quot;:&quot;width:18%&quot;}},&quot;nodeType&quot;:&quot;DOM&quot;,&quot;type&quot;:&quot;node&quot;,&quot;instanceArgs&quot;:{&quot;namespace&quot;:&quot;html&quot;,&quot;tag&quot;:&quot;div&quot;},&quot;children&quot;:[{&quot;props&quot;:{&quot;attributes&quot;:{&quot;data-bind&quot;:&quot;text: displayedvalue&quot;}},&quot;nodeType&quot;:&quot;DOM&quot;,&quot;type&quot;:&quot;node&quot;,&quot;instanceArgs&quot;:{&quot;namespace&quot;:&quot;html&quot;,&quot;tag&quot;:&quot;p&quot;},&quot;children&quot;:[]}]}]}]}]},{&quot;props&quot;:{},&quot;nodeType&quot;:&quot;Scope&quot;,&quot;type&quot;:&quot;node&quot;,&quot;instanceArgs&quot;:{&quot;imports&quot;:{&quot;data&quot;:[],&quot;type&quot;:&quot;async_block&quot;},&quot;id&quot;:&quot;scope-0622ac7b-ce21-42f7-adfc-e2d546c52ac0&quot;,&quot;handlers&quot;:{&quot;obs-output&quot;:[function (updated_htmlstr) {\n",
+       "    var el = this.dom.querySelector(&quot;#out&quot;);\n",
+       "    WebIO.propUtils.setInnerHtml(el, updated_htmlstr);\n",
+       "}]},&quot;systemjs_options&quot;:null,&quot;observables&quot;:{&quot;obs-output&quot;:{&quot;sync&quot;:false,&quot;id&quot;:&quot;ob_07&quot;,&quot;value&quot;:&quot;&lt;div class=&#39;display:none&#39;&gt;&lt;/div&gt;&lt;unsafe-script style=&#39;display:none&#39;&gt;\\nWebIO.mount(this.previousSibling,{&amp;quot;props&amp;quot;:{&amp;quot;attributes&amp;quot;:{&amp;quot;style&amp;quot;:&amp;quot;display:flex; justify-content:center; align-items:center;&amp;quot;}},&amp;quot;nodeType&amp;quot;:&amp;quot;DOM&amp;quot;,&amp;quot;type&amp;quot;:&amp;quot;node&amp;quot;,&amp;quot;instanceArgs&amp;quot;:{&amp;quot;namespace&amp;quot;:&amp;quot;html&amp;quot;,&amp;quot;tag&amp;quot;:&amp;quot;div&amp;quot;},&amp;quot;children&amp;quot;:[{&amp;quot;props&amp;quot;:{&amp;quot;setInnerHtml&amp;quot;:&amp;quot;&amp;lt;img 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\\\\&amp;quot; /&amp;gt;&amp;quot;},&amp;quot;nodeType&amp;quot;:&amp;quot;DOM&amp;quot;,&amp;quot;type&amp;quot;:&amp;quot;node&amp;quot;,&amp;quot;instanceArgs&amp;quot;:{&amp;quot;namespace&amp;quot;:&amp;quot;html&amp;quot;,&amp;quot;tag&amp;quot;:&amp;quot;div&amp;quot;},&amp;quot;children&amp;quot;:[]}]})&lt;/unsafe-script&gt;&quot;},&quot;nodeType&quot;:&quot;DOM&quot;,&quot;type&quot;:&quot;node&quot;,&quot;instanceArgs&quot;:{&quot;namespace&quot;:&quot;html&quot;,&quot;tag&quot;:&quot;div&quot;},&quot;children&quot;:[]}]}]})</unsafe-script>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "(div\n",
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(WebIO.setval({\\\"name\\\":\\\"changes\\\",\\\"scope\\\":\\\"knockout-component-ef3d88af-3b6b-48ec-abc8-9423b30cd43c\\\",\\\"id\\\":\\\"ob_03\\\",\\\"type\\\":\\\"observable\\\"},val)) : undefined; return this.valueFromJulia[\\\"changes\\\"]=false}),self),this[\\\"internalvalue\\\"].subscribe((function (val){!(this.valueFromJulia[\\\"internalvalue\\\"]) ? (WebIO.setval({\\\"name\\\":\\\"internalvalue\\\",\\\"scope\\\":\\\"knockout-component-ef3d88af-3b6b-48ec-abc8-9423b30cd43c\\\",\\\"id\\\":\\\"ob_02\\\",\\\"type\\\":\\\"observable\\\"},val)) : undefined; return this.valueFromJulia[\\\"internalvalue\\\"]=false}),self),this[\\\"value\\\"].subscribe((function (val){!(this.valueFromJulia[\\\"value\\\"]) ? 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(this.valueFromJulia[\\\"changes\\\"]=true, this.model[\\\"changes\\\"](val)) : undefined})\")]),Pair{Any,Any}(\"internalvalue\", Any[WebIO.JSString(\"(function (val){return (val!=this.model[\\\"internalvalue\\\"]()) ? (this.valueFromJulia[\\\"internalvalue\\\"]=true, this.model[\\\"internalvalue\\\"](val)) : undefined})\")]),Pair{Any,Any}(\"value\", Any[WebIO.JSString(\"(function (val){return (val!=this.model[\\\"value\\\"]()) ? 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ko.observableArray(el) : ko.observable(el);\\n        }\\n        \\n        [this[\\\"displayedvalue\\\"]=ko.computed(function () {return this.value().toPrecision(6);},this)]\\n        [this[\\\"changes\\\"].subscribe((function (val){!(this.valueFromJulia[\\\"changes\\\"]) ? (WebIO.setval({\\\"name\\\":\\\"changes\\\",\\\"scope\\\":\\\"knockout-component-ef3d88af-3b6b-48ec-abc8-9423b30cd43c\\\",\\\"id\\\":\\\"ob_03\\\",\\\"type\\\":\\\"observable\\\"},val)) : undefined; return this.valueFromJulia[\\\"changes\\\"]=false}),self),this[\\\"internalvalue\\\"].subscribe((function (val){!(this.valueFromJulia[\\\"internalvalue\\\"]) ? (WebIO.setval({\\\"name\\\":\\\"internalvalue\\\",\\\"scope\\\":\\\"knockout-component-ef3d88af-3b6b-48ec-abc8-9423b30cd43c\\\",\\\"id\\\":\\\"ob_02\\\",\\\"type\\\":\\\"observable\\\"},val)) : undefined; return this.valueFromJulia[\\\"internalvalue\\\"]=false}),self),this[\\\"value\\\"].subscribe((function (val){!(this.valueFromJulia[\\\"value\\\"]) ? (WebIO.setval({\\\"name\\\":\\\"value\\\",\\\"scope\\\":\\\"knockout-component-ef3d88af-3b6b-48ec-abc8-9423b30cd43c\\\",\\\"id\\\":\\\"ob_01\\\",\\\"type\\\":\\\"observable\\\"},val)) : undefined; return this.valueFromJulia[\\\"value\\\"]=false}),self)]\\n        this.values = JSON.parse(\\\"[10.0,30.0,50.0,100.0]\\\")\\nthis.internalvalue.subscribe(function (value){\\n    this.value(this.values[value-1]);\\n}, this)\\nthis.value.subscribe(function (value){\\n    var index = this.values.indexOf(value);\\n    this.internalvalue(index+1);\\n}, this)\\n\\n    }\\n    self.model = new AppViewModel();\\n    self.valueFromJulia = {};\\n    for (var key in json_data) {\\n        self.valueFromJulia[key] = false;\\n    }\\n    ko.applyBindings(self.model, self.dom);\\n}\\n\")]))),Pair{Any,Any}(\"changes\", Any[WebIO.JSString(\"(function (val){return (val!=this.model[\\\"changes\\\"]()) ? (this.valueFromJulia[\\\"changes\\\"]=true, this.model[\\\"changes\\\"](val)) : undefined})\")]),Pair{Any,Any}(\"internalvalue\", Any[WebIO.JSString(\"(function (val){return (val!=this.model[\\\"internalvalue\\\"]()) ? (this.valueFromJulia[\\\"internalvalue\\\"]=true, this.model[\\\"internalvalue\\\"](val)) : undefined})\")]),Pair{Any,Any}(\"value\", Any[WebIO.JSString(\"(function (val){return (val!=this.model[\\\"value\\\"]()) ? (this.valueFromJulia[\\\"value\\\"]=true, this.model[\\\"value\\\"](val)) : undefined})\")])), WebIO.ConnectionPool(Channel{Any}(sz_max:9223372036854775807,sz_curr:4), Set{WebIO.AbstractConnection}(), Channel{WebIO.AbstractConnection}(sz_max:32,sz_curr:0))), Widgets.#4, Base.#55)\n",
+       "  Observables.Observable{Any}(\"ob_06\", WebIO.Node{WebIO.DOM}(WebIO.DOM(:html, :div), Any[Plot{Plots.GRBackend() n=8}], Dict{Symbol,Any}(Pair{Symbol,Any}(:attributes, Dict(\"style\"=>\"display:flex; justify-content:center; align-items:center;\"))), 1), Any[]))"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "@manipulate for L in levels(obs[:L])\n",
+    "@df obs[obs[:L].==L,:] plot(:T, [abs.(:m) :chi :e :c],\n",
+    "    group=:L, layout=4, legend=false, size=(1024,768),\n",
+    "    marker=:square,ms=2., line=(:dash, 2.), ylabel=[L\"\\vert M \\vert\" L\"\\chi\" L\"E/N\" L\"c_h\"])\n",
+    "xlabel!(L\"T-T_c\")\n",
+    "vline!([[Tcnum] [Tcnum] [Tcnum] [Tcnum]],lab=\"Onsager\")\n",
+    "end"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "__Split observables in sets above/below $T_c$ __"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "obs_above = obs[(obs[:t].>0) .& (obs[:L].==100),:];\n",
+    "obs_below = obs[(obs[:t].<0) .& (obs[:L].==100),:];"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Critical exponents"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "__Magnetization__"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "log_obs = @select(obs_below,logt=log.(abs.(:t)),logm=log.(abs.(:m)));"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "StatsModels.DataFrameRegressionModel{GLM.LinearModel{GLM.LmResp{Array{Float64,1}},GLM.DensePredChol{Float64,Base.LinAlg.Cholesky{Float64,Array{Float64,2}}}},Array{Float64,2}}\n",
+       "\n",
+       "Formula: logm ~ 1 + logt\n",
+       "\n",
+       "Coefficients:\n",
+       "              Estimate  Std.Error t value Pr(>|t|)\n",
+       "(Intercept)  0.0711246 0.00321985 22.0894   <1e-14\n",
+       "logt          0.122521 0.00151357 80.9485   <1e-24\n"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "beta_regr = lm(@formula(logm ~ logt),log_obs[3:end,:]) # neglect the two datapoints closest to Tc"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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"
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "scatter(log.(abs.(obs_below[:t])),log.(abs.(obs_below[:m])), xlabel=\"log|T-Tc|\", ylabel=\"log M/N\",legend=false,size=(800,600))\n",
+    "#scatter!(log.(abs.(obs_above[:t])),log.(abs.(obs_above[:m])), xlabel=\"log|T-Tc|\", ylabel=\"log\\\\chi\",legend=false)\n",
+    "\n",
+    "plot!(-7.:-1,t->t*1/8+0.08, lw=3) # exact exponent 1/8\n",
+    "#plot!(-5.:-1,t->abs(t)*7/4-11)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "__Suscpetibility__"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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"
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "scatter(log.(abs.(obs_below[:t])),log.(abs.(obs_below[:chi])), xlabel=\"log|T-Tc|\", legend=true, marker=:auto, lab=\"below\",size=(800,600))\n",
+    "scatter!(log.(abs.(obs_above[:t])),log.(abs.(obs_above[:chi])), xlabel=\"log|T-Tc|\", ylabel=\"log\\\\chi\", marker=(2,:auto), lab=\"above\")\n",
+    "\n",
+    "plot!(-5.:-1,t->-t*7/4+0.6, lab=\"above\", lw=3)\n",
+    "plot!(-5.:-1,t->-t*7/4-3., lab=\"below\", lw=3)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "__Heat capacity__"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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"
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "scatter(log.(abs.(obs_below[:t])),log.(obs_below[:c]), xlabel=\"log|T-Tc|\", legend=false, size=(800,600))\n",
+    "scatter!(log.(abs.(obs_above[:t])),log.(obs_above[:c]), xlabel=\"log|T-Tc|\", ylabel=\"log C\",legend=false)\n",
+    "#\n",
+    "plot!(linspace(-5,-1,50),t->-1/2*t-0.9,lw=3.)\n",
+    "plot!(linspace(-5,-1,50),t->1.*log(-t)-0.6,lw=3.)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Addendum"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "__Binder cumulants__"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In the unordered phase the distribution of $m$ is a Gaussian around $0$ of width $~1/\\sqrt{t}$, while deep in the ordered phase it is _two_ Gaussians peaked at $\\pm 1$.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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"
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "@df obs plot(:T, 1.-:m4./3./:m2.^2, group=:L, marker=(:auto, 0.),size=(800,600))\n",
+    "vline!([Tc-0.005], lab=\"\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "anaconda-cloud": {},
+  "kernelspec": {
+   "display_name": "Julia 0.6.4",
+   "language": "julia",
+   "name": "julia-0.6"
+  },
+  "language_info": {
+   "file_extension": ".jl",
+   "mimetype": "application/julia",
+   "name": "julia",
+   "version": "0.6.4"
+  },
+  "widgets": {
+   "application/vnd.jupyter.widget-state+json": {
+    "state": {},
+    "version_major": 2,
+    "version_minor": 0
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/Metropolis_Ising.ipynb b/Metropolis_Ising.ipynb
deleted file mode 100755
index c70d5ac..0000000
--- a/Metropolis_Ising.ipynb
+++ /dev/null
@@ -1,1434 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "__Load packages for plotting and data handling__"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [],
-   "source": [
-    "using Plots,LaTeXStrings, StatPlots\n",
-    "using DataFrames\n",
-    "using DataFramesMeta\n",
-    "using Interact"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "__add worker processes for parallel computation__"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [],
-   "source": [
-    "addprocs(3)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Define simulation routines"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "__Methods for Metropolis__"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "@everywhere begin\n",
-    "# returns a LxL Matrix filled randomly with ±1\n",
-    "function randomConfiguration(L::Int)\n",
-    "    return rand(Int8[-1,1], L,L)\n",
-    "end\n",
-    "\n",
-    "# returns a configuration where all bonds are frustrated\n",
-    "function frustratedConfiguration(L::Int)\n",
-    "    return Int8[(-1)^(i+j) for i=1:L,j=1:L]\n",
-    "end\n",
-    "\n",
-    "## Energy of configuration\n",
-    "## Arguments:\n",
-    "##  state    state::Matrix{Int8}\n",
-    "##  coupling J::Float64 defaults to 1.0\n",
-    "##  field    h::Float64 defaults to 0.0\n",
-    "function H(state::Matrix{Int8},J=1.,h=0.)\n",
-    "    L = size(state,1)\n",
-    "    s = 0.\n",
-    "    s = h*(sum(state))\n",
-    "    \n",
-    "    @inbounds for i in 1:L, j in 1:L\n",
-    "        s += -J*state[i,j]*(state[i%L+1,j]+state[i,j%L+1])\n",
-    "    end\n",
-    "    return s\n",
-    "end\n",
-    "\n",
-    "## Energy difference between the current state `state`\n",
-    "## and one spin flipped at position `pos::Int`\n",
-    "## Arguments:\n",
-    "##  state    state::Matrix{Int8}\n",
-    "##  pos      linear index of `state` 1..L^2\n",
-    "##  coupling J::Float64 defaults to 1.0\n",
-    "##  field    h::Float64 defaults to 0.0\n",
-    "function dH(state::Matrix{Int8},pos,J=1.,h=0.)\n",
-    "    L = size(state,1)\n",
-    "    i,j = ind2sub(state,pos) #convert the linear index to index pair (i,j)\n",
-    "    @inbounds return 2*J*state[pos]*( state[i%L+1,j]+state[i,j%L+1]+state[i==1?L:i-1,j]+state[i,j==1?L:j-1] ) + 2*h*state[pos]\n",
-    "end\n",
-    "\n",
-    "## Magnetization per spin\n",
-    "function m(state) \n",
-    "    Float64(sum(state)/length(state))\n",
-    "end\n",
-    "    \n",
-    "## Perform one step of the Metropolis algorithm.\n",
-    "## `state` is mutated.\n",
-    "## Arguments:\n",
-    "##  state::Matrix{Int8} Current configuration \n",
-    "##  beta::Float64       Inverse temperature\n",
-    "##  h::Float64          External field\n",
-    "function metropolis_step!(state::Matrix{Int8},beta,h)\n",
-    "    i = rand(1:length(state))\n",
-    "    dh = dH(state,i,1.,h)\n",
-    "    if dh <= 0 || rand()<exp(-beta*dh)\n",
-    "        state[i] *= -1\n",
-    "    end\n",
-    "    return nothing\n",
-    "end\n",
-    "\n",
-    "function sweep!(state,n,beta,h)\n",
-    "    for _ in 1:n\n",
-    "        metropolis_step!(state,beta,h)\n",
-    "    end\n",
-    "end\n",
-    "\n",
-    "function init(L,beta,h,sweep)\n",
-    "    state = randomConfiguration(L)\n",
-    "    # Initial sweep to get into the steady state\n",
-    "    sweep!(state,sweep,beta,h)\n",
-    "    return state\n",
-    "end    \n",
-    "\n",
-    "## Runs the Metropolis algorithm for a given set of parameters.\n",
-    "## Samples in defined intervals along the Markov-Chain.\n",
-    "## An initial thermal sweep to go to equilibrium may be specified.\n",
-    "## Call like \n",
-    "##  run_metropolis(50,0.,0.;Tmax=25*10^3*50^2,poll_interval=10*50^2,sweep=10^3*50^2)\n",
-    "##\n",
-    "## Arguments\n",
-    "##  L::Int             Linear system size\n",
-    "##  beta::Float64      Inverse temperature\n",
-    "##  h::Float64         External field\n",
-    "##  Tmax::Int          Number of steps\n",
-    "##  sweep::Int         Length of the initial sweep\n",
-    "##  poll_interval::Int Record the observables every `poll_interval` steps.\n",
-    "##  repeat::Int Restart the chain\n",
-    "    \n",
-    "function run_metropolis(L::Int, beta,h;Tmax::Int=1,sweep::Int=0,poll_interval::Int=1)\n",
-    "    ## Initialise a random state\n",
-    "    state = init(L,beta,h,sweep)\n",
-    "    return _run_metropolis!(state,beta,h,Tmax=Tmax,poll_interval=poll_interval)\n",
-    "end\n",
-    "\n",
-    "    \n",
-    "function _run_metropolis!(state::Matrix{Int8},beta,h;Tmax::Int=1,poll_interval::Int=1)\n",
-    "    \n",
-    "    ## Define a matrix in which to record the observables.\n",
-    "    ## One row for each observable, e.g E and m.\n",
-    "    ## Preallocating the matrix gives much better performance than\n",
-    "    ## constructing it on the fly.\n",
-    "    observables = zeros(Float64,5)\n",
-    "    \n",
-    "    k = 0 #counts the number of samples\n",
-    "\n",
-    "    # pick the middle lattice site for the spin correlation\n",
-    "        \n",
-    "    t=0 #number of simulation steps\n",
-    "    e=0.\n",
-    "    mag=0.\n",
-    "\n",
-    "    @inbounds begin\n",
-    "        while(t<Tmax)\n",
-    "            ## Do the defined no. of steps before\n",
-    "            ## taking a measurement\n",
-    "            sweep!(state,poll_interval,beta,h)\n",
-    "            \n",
-    "            ## Record observables\n",
-    "            e = H(state,1.,h)\n",
-    "            mag = m(state)\n",
-    "            observables[1] += e\n",
-    "            observables[2] += e^2\n",
-    "            observables[3] += mag\n",
-    "            observables[4] += mag^2\n",
-    "            observables[5] += mag^4\n",
-    "\n",
-    "            ## increment counters\n",
-    "            k+=1\n",
-    "            t+=poll_interval\n",
-    "        end\n",
-    "    end\n",
-    "    ## Return statistics about the observables\n",
-    "    return observables/k\n",
-    "end\n",
-    "    \n",
-    "end"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Record timeseries of M\n",
-    "function metropolis_timeseries(L::Int, beta, Tmax, poll_interval=L^2)\n",
-    "    state = init(L,beta,0.,1000*L^2)\n",
-    "    ts = Vector{Float64}(div(Tmax,poll_interval))\n",
-    "    t=0\n",
-    "    k=1\n",
-    "    mag0 = m(state)\n",
-    "    while(t<Tmax)\n",
-    "        sweep!(state,poll_interval,beta,0.)\n",
-    "        ts[k] = m(state)\n",
-    "        k+=1\n",
-    "        t+=poll_interval\n",
-    "    end\n",
-    "    return ts\n",
-    "end"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "__Methods for the Wolff algorithm__"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "@everywhere begin\n",
-    "    function cluster!(cluster_state, state, i,j, p)\n",
-    "        @inbounds begin L = size(state, 1)\n",
-    "            s = state[i,j]\n",
-    "            cluster_state[i,j] = true\n",
-    "            for neighbor in [(i%L+1,j),(i,j%L+1),(i==1?L:i-1,j),(i,j==1?L:j-1)]\n",
-    "                if state[neighbor...] == s && !cluster_state[neighbor...] && rand()<p\n",
-    "                    cluster_state[neighbor...]=true\n",
-    "                    cluster!(cluster_state, state, neighbor..., p)\n",
-    "                end\n",
-    "            end\n",
-    "        end\n",
-    "    end\n",
-    "    \n",
-    "    function wolff_step!(state, cluster_state, beta)\n",
-    "        @inbounds begin\n",
-    "            L = size(state,1)\n",
-    "            i,j = rand(1:L,2)\n",
-    "            fill!(cluster_state, false)\n",
-    "            cluster!(cluster_state, state, i,j, 1.-exp(-2.*beta))\n",
-    "            state[cluster_state] *= -1\n",
-    "        end\n",
-    "        return nothing\n",
-    "    end\n",
-    "    \n",
-    "    function _run_wolff!(state::Matrix{Int8},cluster,beta,h;Tmax::Int=1,poll_interval::Int=1)\n",
-    "\n",
-    "        ## Define a matrix in which to record the observables.\n",
-    "        ## One row for each observable, e.g E and m.\n",
-    "        ## Preallocating the matrix gives much better performance than\n",
-    "        ## constructing it on the fly.\n",
-    "        observables = zeros(Float64,5)\n",
-    "\n",
-    "        k = 0 #counts the number of samples\n",
-    "\n",
-    "        # pick the middle lattice site for the spin correlation\n",
-    "\n",
-    "        t=0 #number of simulation steps\n",
-    "        r=0 #repeat counter\n",
-    "        e=0.\n",
-    "        mag=0.\n",
-    "        @inbounds begin\n",
-    "            while(t<Tmax)\n",
-    "                ## Do the defined no. of steps before\n",
-    "                ## taking a measurement\n",
-    "                for _ in 1:poll_interval\n",
-    "                    wolff_step!(state, cluster, beta)\n",
-    "                end\n",
-    "                ## Record observables\n",
-    "                e = H(state,1.,0.)\n",
-    "                mag = m(state)|>abs\n",
-    "                observables[1] += e\n",
-    "                observables[2] += e^2\n",
-    "                observables[3] += mag\n",
-    "                observables[4] += mag^2\n",
-    "                observables[5] += mag^4\n",
-    "\n",
-    "                ## increment counters\n",
-    "                k+=1\n",
-    "                t+=poll_interval\n",
-    "            end\n",
-    "        end\n",
-    "        ## Return statistics about the observables\n",
-    "        return observables/k\n",
-    "    end\n",
-    "    \n",
-    "    function run_wolff(L::Int, beta,h;Tmax::Int=1,sweep::Int=0,poll_interval::Int=1)\n",
-    "        ## Initialise a random state\n",
-    "        function init(L,beta)\n",
-    "            state = randomConfiguration(L)\n",
-    "            cluster = zeros(Bool,L,L)\n",
-    "            # Initial sweep to get into the steady state\n",
-    "            for _ in 1:sweep\n",
-    "                wolff_step!(state, cluster, beta)\n",
-    "            end\n",
-    "            return state,cluster\n",
-    "        end\n",
-    "        \n",
-    "        state,cluster = init(L,beta)\n",
-    "        return _run_wolff!(state,cluster,beta,0.,Tmax=Tmax,poll_interval=poll_interval)\n",
-    "    end    \n",
-    "    \n",
-    "end"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "---"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "__Onsager critical temperature__"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "Tc = 2/log(1+sqrt(2));"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Autocorrelation"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "let Tmax=10000,L=100\n",
-    "@time  ts = mapreduce(vcat, [4.,2.5,2.26,2.0]) do T\n",
-    "    df = DataFrame()\n",
-    "    df[:t] = collect(1:Tmax-1)\n",
-    "    df[:L] = L\n",
-    "    df[:T] = T\n",
-    "\n",
-    "    ts = metropolis_timeseries(L,1/T,Tmax*L^2)\n",
-    "    ts -=  mean(ts)\n",
-    "\n",
-    "    df[:autocor] = map(1:Tmax-1) do t\n",
-    "        1./(Tmax-t+1)*sum(ts[1:Tmax-t+1].*ts[t:Tmax])\n",
-    "    end\n",
-    "    df[:autocor] ./= 1.#df[1,:autocor]\n",
-    "    df\n",
-    "end\n",
-    "end;"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "@df @where(ts,:autocor.>0.) plot(:t, :autocor, group=:T, xscale=:log10, xlim=(1,3000), size=(1024,768));"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Histogram"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "magnetization = DataFrame()\n",
-    "let Tmax=50000,L=100\n",
-    "@time  magnetization = mapreduce(vcat, [4.,2.5,Tc,2.0,1.0]) do T\n",
-    "    df = DataFrame()\n",
-    "    df[:t] = collect(1:Tmax)\n",
-    "    df[:L] = L\n",
-    "    df[:T] = T\n",
-    "\n",
-    "    df[:m] = metropolis_timeseries(L,1/T,Tmax*L^2)\n",
-    "    #ts -=  mean(ts)\n",
-    "\n",
-    "    df\n",
-    "end\n",
-    "end;"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "magnetization = readtable(\"magnetization-ts-N100.tsv\",separator='\\t')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "writetable(\"magnetization-ts-N100.tsv\",magnetization,separator='\\t')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "@df @where(magnetization, :T.==2.0) plot(:t,(:m))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "@df magnetization histogram(:m, group=:T,alpha=0.6, normalize=false, size=(1024,768));"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Simulation"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [],
-   "source": [
-    "obs = DataFrame(Float64,0,7)\n",
-    "names!(obs,[:L,:T,:e,:e2,:m,:m2,:m4])\n",
-    "\n",
-    "## Temperature range\n",
-    "Ts = linspace(2.6,2.0,50)\n",
-    "Ls = [10,30,50,100]\n",
-    "\n",
-    "for L in Ls\n",
-    "@everywhere begin state=randomConfiguration($L); end\n",
-    "@time map(pmap(Ts) do T\n",
-    "        println(\"T=$T\")\n",
-    "            \n",
-    "#       result = run_wolff(L, 1/T,0.;Tmax=10*10^3,sweep=100*L^2,poll_interval=1)\n",
-    "#       result = run_metropolis(L, 1/T,0.;Tmax=50*10^3*L^2,sweep=1000*L^2,poll_interval=10*L^2)\n",
-    "            \n",
-    "        sweep!(state,1000*(L^2),1/T,0.)            \n",
-    "        result = _run_metropolis!(state, 1/T,0.;Tmax=1000*10^3*L^2,poll_interval=100*L^2)\n",
-    "\n",
-    "        E = result[1]\n",
-    "        E2 = result[2]\n",
-    "        mag = result[3]\n",
-    "        mag2 = result[4]\n",
-    "        mag4 = result[5]\n",
-    "        [L,T,E,E2,mag,mag2,mag4]'\n",
-    "    end) do row\n",
-    "        #println(row)\n",
-    "        push!(obs,row);\n",
-    "    end;\n",
-    "end\n",
-    "   \n",
-    "# obs[:t] = obs[:T]-Tc;\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "__Calculate susc. & heat capacity__"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "obs[:c] = (obs[:e2].-obs[:e].^2)./(obs[:T].^2)./obs[:L].^2;\n",
-    "obs[:chi] = (obs[:m2].-obs[:m].^2)./obs[:T].*obs[:L].^2;"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "__Save/load data__"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "writetable(\"metropolis04-N10-30-50-100-longWait.tsv\", obs)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [],
-   "source": [
-    "obs = readtable(\"metropolis04-N10-30-50-100-longWait.tsv\");"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "tail(obs)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Analysis"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "__Estimate the critical temperature from the heat capacity__"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "@df obs plot(:T, abs.(:c), group=:L, legend=true,line=(:dash, 2.), marker=(:auto,3), ylabel=\"spec. heat capacity\")\n",
-    "vline!([Tc Tc+0.006],lab=[\"Onsager\" \"numerical\"], lw=3)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Estimated critical temperature\n",
-    "Tcnum = Tc + 0.006"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "__Define reduced temperature__"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "obs[:t] = obs[:T]-Tcnum;"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "__Plot observables__"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "@manipulate for L in levels(obs[:L])\n",
-    "@df obs[obs[:L].==L,:] plot(:T, [abs.(:m) :chi :e :c],\n",
-    "    group=:L, layout=4, legend=false, size=(1024,768),\n",
-    "    marker=:square,ms=2., line=(:dash, 2.), ylabel=[L\"\\vert M \\vert\" L\"\\chi\" L\"E/N\" L\"c_h\"])\n",
-    "xlabel!(L\"T-T_c\")\n",
-    "vline!([[Tcnum] [Tcnum] [Tcnum]],lab=\"Onsager\")\n",
-    "end"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "__Split observables in sets above/below $T_c$ __"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "obs_above = obs[(obs[:t].>0) .& (obs[:L].==100),:];\n",
-    "obs_below = obs[(obs[:t].<0) .& (obs[:L].==100),:];"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Critical exponents"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# General Linear Models is used to perform linear regressions.\n",
-    "# A simpler package is LsqFit, but it can't deal with DataFrames directly.\n",
-    "using GLM"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "__Magnetization__"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [],
-   "source": [
-    "log_obs = @select(obs_below,logt=log.(abs.(:t)),logm=log.(abs.(:m)));"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "beta_regr = lm(@formula(logm ~ logt),log_obs[3:end,:]) # neglect the two datapoints closest to Tc"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "scatter(log.(abs.(obs_below[:t])),log.(abs.(obs_below[:m])), xlabel=\"log|T-Tc|\", ylabel=\"log M/N\",legend=false,size=(800,600))\n",
-    "#scatter!(log.(abs.(obs_above[:t])),log.(abs.(obs_above[:m])), xlabel=\"log|T-Tc|\", ylabel=\"log\\\\chi\",legend=false)\n",
-    "\n",
-    "plot!(-7.:-1,t->t*1/8+0.08, lw=3) # exact exponent 1/8\n",
-    "#plot!(-5.:-1,t->abs(t)*7/4-11)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "__Suscpetibility__"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "scatter(log.(abs.(obs_below[:t])),log.(abs.(obs_below[:chi])), xlabel=\"log|T-Tc|\", legend=true, marker=:auto, lab=\"below\",size=(800,600))\n",
-    "scatter!(log.(abs.(obs_above[:t])),log.(abs.(obs_above[:chi])), xlabel=\"log|T-Tc|\", ylabel=\"log\\\\chi\", marker=(2,:auto), lab=\"above\")\n",
-    "\n",
-    "plot!(-5.:-1,t->-t*7/4+0.6, lab=\"above\", lw=3)\n",
-    "plot!(-5.:-1,t->-t*7/4-3., lab=\"below\", lw=3)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "__Heat capacity__"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "scatter(log.(abs.(obs_below[:t])),log.(obs_below[:c]), xlabel=\"log|T-Tc|\", legend=false, size=(800,600))\n",
-    "scatter!(log.(abs.(obs_above[:t])),log.(obs_above[:c]), xlabel=\"log|T-Tc|\", ylabel=\"log C\",legend=false)\n",
-    "#\n",
-    "plot!(linspace(-5,-1,50),t->-1/2*t-0.9,lw=3.)\n",
-    "plot!(linspace(-5,-1,50),t->1.*log(-t)-0.6,lw=3.)\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Addendum"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "__Binder cumulants__"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "In the unordered phase the distribution of $m$ is a Gaussian around $0$ of width $~1/\\sqrt{t}$, while deep in the ordered phase it is _two_ Gaussians peaked at $\\pm 1$.\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "@df obs plot(:T, 1.-:m4./3./:m2.^2, group=:L, marker=(:auto, 0.),size=(800,600))\n",
-    "vline!([Tc-0.005])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Real time visualization"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using GLVisualize, GeometryTypes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "        curMatch = curMatch ||\n",
-       "            window.location.href\n",
-       "            .match(/(.*?)\\/apps\\/.*\\.ipynb/);\n",
-       "\n",
-       "        if ( curMatch ) {\n",
-       "            $('head').append('<base href=\"' + curMatch[1] + '/\">');\n",
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-      "text/plain": [
-       "HTML{String}(\"    <script class='js-collapse-script'>\\n        var curMatch =\\n            window.location.href\\n            .match(/(.*?)\\\\/notebooks\\\\/.*\\\\.ipynb/);\\n\\n        curMatch = curMatch ||\\n            window.location.href\\n            .match(/(.*?)\\\\/apps\\\\/.*\\\\.ipynb/);\\n\\n        if ( curMatch ) {\\n            \\$('head').append('<base href=\\\"' + curMatch[1] + '/\\\">');\\n        }\\n    </script>\\n\")"
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-     "metadata": {},
-     "output_type": "display_data"
-    },
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-     "data": {
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-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<script class='js-collapse-script' src='/assetserver/b92f919d597277debc5ed4c6eb2190cd1960c521-assets/providers/ijulia_setup.js'></script>"
-      ],
-      "text/plain": [
-       "HTML{String}(\"<script class='js-collapse-script' src='/assetserver/b92f919d597277debc5ed4c6eb2190cd1960c521-assets/providers/ijulia_setup.js'></script>\")"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "  <script class='js-collapse-script'>\n",
-       "    $('.js-collapse-script').parent('.output_subarea').css('padding', '0');\n",
-       "  </script>\n"
-      ],
-      "text/plain": [
-       "HTML{String}(\"  <script class='js-collapse-script'>\\n    \\$('.js-collapse-script').parent('.output_subarea').css('padding', '0');\\n  </script>\\n\")"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "using IterTools,Colors,Reactive,Interact"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 53,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "color_gen (generic function with 1 method)"
-      ]
-     },
-     "execution_count": 53,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# This function maps the spin state to an array of colors\n",
-    "function color_gen(v0,basecolor)\n",
-    "    map(v0) do x\n",
-    "        if x==1\n",
-    "            RGB(0f0,0f0,0f0)\n",
-    "        elseif x==-1.\n",
-    "            RGB(1f0,min(1f0,Float32(basecolor)),0f0)\n",
-    "        end\n",
-    "    end\n",
-    "end"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "reset_window (generic function with 1 method)"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Reset window\n",
-    "function reset_window()\n",
-    "try\n",
-    "    empty!(window)\n",
-    "    close(color_signal)\n",
-    "    close(state_map)\n",
-    "    close(timesignal)\n",
-    "    close(temperature)\n",
-    "catch UndefVarError\n",
-    "end\n",
-    "end"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "adjust_cam! (generic function with 1 method)"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "function adjust_cam!(window;eyepos_vec=Vec3f0(0,0,+1),lookat_vec=Vec3f0(0,0,0),up_vec=cross(lookat_vec-eyepos_vec,-Vec3f0(1,0,0)))\n",
-    "    push!(window.cameras[:perspective].eyeposition, eyepos_vec)\n",
-    "    push!(window.cameras[:perspective].lookat, lookat_vec)\n",
-    "    push!(window.cameras[:perspective].up, up_vec)\n",
-    "    push!(window.cameras[:perspective].fov, 90)\n",
-    "end"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "__Temperature & field__"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 75,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "519: \"input-290\" = 0.5 Float64 "
-      ]
-     },
-     "execution_count": 75,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a_signal"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 70,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div class='tex2jax_ignore interactbulma'>\n",
-       "<div class='display:none'></div><unsafe-script style='display:none'>\n",
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-       "    ko.punches.enableAll();\n",
-       "    ko.bindingHandlers.numericValue = {\n",
-       "        init : function(element, valueAccessor, allBindings, data, context) {\n",
-       "            var stringified = ko.observable(ko.unwrap(valueAccessor()));\n",
-       "            stringified.subscribe(function(value) {\n",
-       "                var val = parseFloat(value);\n",
-       "                if (!isNaN(val)) {\n",
-       "                    valueAccessor()(val);\n",
-       "                }\n",
-       "            })\n",
-       "            valueAccessor().subscribe(function(value) {\n",
-       "                var str = JSON.stringify(value);\n",
-       "                if ((str == &quot;0&quot;) &amp;&amp; ([&quot;-0&quot;, &quot;-0.&quot;].indexOf(stringified()) &gt;= 0))\n",
-       "                     return;\n",
-       "                 if ([&quot;null&quot;, &quot;&quot;].indexOf(str) &gt;= 0)\n",
-       "                     return;\n",
-       "                stringified(str);\n",
-       "            })\n",
-       "            ko.applyBindingsToNode(element, { value: stringified, valueUpdate: allBindings.get(&#39;valueUpdate&#39;)}, context);\n",
-       "        }\n",
-       "    };\n",
-       "    var json_data = JSON.parse(&quot;{\\&quot;changes\\&quot;:0,\\&quot;value\\&quot;:2.26}&quot;);\n",
-       "    var self = this;\n",
-       "    function AppViewModel() {\n",
-       "        for (var key in json_data) {\n",
-       "            var el = json_data[key];\n",
-       "            this[key] = Array.isArray(el) ? ko.observableArray(el) : ko.observable(el);\n",
-       "        }\n",
-       "        \n",
-       "        [this[&quot;displayedvalue&quot;]=ko.computed(function () {return this.value().toPrecision(6);},this)]\n",
-       "        [this[&quot;changes&quot;].subscribe((function (val){!(this.valueFromJulia[&quot;changes&quot;]) ? (WebIO.setval({&quot;name&quot;:&quot;changes&quot;,&quot;scope&quot;:&quot;knockout-component-b704457b-e996-420d-a898-75949bc89f0c&quot;,&quot;id&quot;:&quot;ob_12&quot;,&quot;type&quot;:&quot;observable&quot;},val)) : undefined; return this.valueFromJulia[&quot;changes&quot;]=false}),self),this[&quot;value&quot;].subscribe((function (val){!(this.valueFromJulia[&quot;value&quot;]) ? (WebIO.setval({&quot;name&quot;:&quot;value&quot;,&quot;scope&quot;:&quot;knockout-component-b704457b-e996-420d-a898-75949bc89f0c&quot;,&quot;id&quot;:&quot;ob_11&quot;,&quot;type&quot;:&quot;observable&quot;},val)) : undefined; return this.valueFromJulia[&quot;value&quot;]=false}),self)]\n",
-       "        \n",
-       "    }\n",
-       "    self.model = new AppViewModel();\n",
-       "    self.valueFromJulia = {};\n",
-       "    for (var key in json_data) {\n",
-       "        self.valueFromJulia[key] = false;\n",
-       "    }\n",
-       "    ko.applyBindings(self.model, self.dom);\n",
-       "}\n",
-       "]},&quot;changes&quot;:[(function (val){return (val!=this.model[&quot;changes&quot;]()) ? (this.valueFromJulia[&quot;changes&quot;]=true, this.model[&quot;changes&quot;](val)) : undefined})],&quot;value&quot;:[(function (val){return (val!=this.model[&quot;value&quot;]()) ? (this.valueFromJulia[&quot;value&quot;]=true, this.model[&quot;value&quot;](val)) : undefined})]},&quot;systemjs_options&quot;:null,&quot;observables&quot;:{&quot;changes&quot;:{&quot;sync&quot;:false,&quot;id&quot;:&quot;ob_12&quot;,&quot;value&quot;:0},&quot;value&quot;:{&quot;sync&quot;:true,&quot;id&quot;:&quot;ob_11&quot;,&quot;value&quot;:2.26}}},&quot;children&quot;:[{&quot;props&quot;:{&quot;attributes&quot;:{&quot;style&quot;:&quot;display:flex; justify-content:center; align-items:center;&quot;}},&quot;nodeType&quot;:&quot;DOM&quot;,&quot;type&quot;:&quot;node&quot;,&quot;instanceArgs&quot;:{&quot;namespace&quot;:&quot;html&quot;,&quot;tag&quot;:&quot;div&quot;},&quot;children&quot;:[{&quot;props&quot;:{&quot;attributes&quot;:{&quot;style&quot;:&quot;text-align:right;width:18%&quot;}},&quot;nodeType&quot;:&quot;DOM&quot;,&quot;type&quot;:&quot;node&quot;,&quot;instanceArgs&quot;:{&quot;namespace&quot;:&quot;html&quot;,&quot;tag&quot;:&quot;div&quot;},&quot;children&quot;:[{&quot;props&quot;:{&quot;className&quot;:&quot;interact &quot;,&quot;style&quot;:{&quot;padding&quot;:&quot;5px 10px 0px 10px&quot;}},&quot;nodeType&quot;:&quot;DOM&quot;,&quot;type&quot;:&quot;node&quot;,&quot;instanceArgs&quot;:{&quot;namespace&quot;:&quot;html&quot;,&quot;tag&quot;:&quot;label&quot;},&quot;children&quot;:[&quot;temperature&quot;]}]},{&quot;props&quot;:{&quot;attributes&quot;:{&quot;style&quot;:&quot;flex-grow:1; margin: 0 2%&quot;}},&quot;nodeType&quot;:&quot;DOM&quot;,&quot;type&quot;:&quot;node&quot;,&quot;instanceArgs&quot;:{&quot;namespace&quot;:&quot;html&quot;,&quot;tag&quot;:&quot;div&quot;},&quot;children&quot;:[{&quot;props&quot;:{&quot;max&quot;:10.0,&quot;min&quot;:0.0,&quot;attributes&quot;:{&quot;type&quot;:&quot;range&quot;,&quot;data-bind&quot;:&quot;numericValue: value, valueUpdate: &#39;input&#39;, event: {change : function () {this.changes(this.changes()+1)}}&quot;},&quot;step&quot;:0.01,&quot;className&quot;:&quot;slider slider is-fullwidth&quot;,&quot;style&quot;:{}},&quot;nodeType&quot;:&quot;DOM&quot;,&quot;type&quot;:&quot;node&quot;,&quot;instanceArgs&quot;:{&quot;namespace&quot;:&quot;html&quot;,&quot;tag&quot;:&quot;input&quot;},&quot;children&quot;:[]}]},{&quot;props&quot;:{&quot;attributes&quot;:{&quot;style&quot;:&quot;width:18%&quot;}},&quot;nodeType&quot;:&quot;DOM&quot;,&quot;type&quot;:&quot;node&quot;,&quot;instanceArgs&quot;:{&quot;namespace&quot;:&quot;html&quot;,&quot;tag&quot;:&quot;div&quot;},&quot;children&quot;:[{&quot;props&quot;:{&quot;attributes&quot;:{&quot;data-bind&quot;:&quot;text: displayedvalue&quot;}},&quot;nodeType&quot;:&quot;DOM&quot;,&quot;type&quot;:&quot;node&quot;,&quot;instanceArgs&quot;:{&quot;namespace&quot;:&quot;html&quot;,&quot;tag&quot;:&quot;p&quot;},&quot;children&quot;:[]}]}]}]}]})</unsafe-script>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "(div { className=\"field\" }\n",
-       "    (div { attributes=Dict(\"style\"=>\"display:flex; justify-content:center; align-items:center;\") }\n",
-       "    (div { attributes=Dict(\"style\"=>\"text-align:right;width:18%\") }\n",
-       "      (label { className=\"interact \" style=Dict{Any,Any}(Pair{Any,Any}(:padding, \"5px 10px 0px 10px\")) }\n",
-       "        \"temperature\"))\n",
-       "    (div { attributes=Dict(\"style\"=>\"flex-grow:1; margin: 0 2%\") }\n",
-       "      (input { max=10.0 min=0.0 attributes=Dict{Any,Any}(Pair{Any,Any}(:type, \"range\"),Pair{Any,Any}(Symbol(\"data-bind\"), \"numericValue: value, valueUpdate: 'input', event: {change : function () {this.changes(this.changes()+1)}}\")) step=0.01 className=\"slider slider is-fullwidth\" style=Dict{Any,Any}() }))\n",
-       "    (div { attributes=Dict(\"style\"=>\"width:18%\") }\n",
-       "      (p { attributes=Dict(\"data-bind\"=>\"text: displayedvalue\") }))))"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div class='tex2jax_ignore interactbulma'>\n",
-       "<div class='display:none'></div><unsafe-script style='display:none'>\n",
-       "WebIO.mount(this.previousSibling,{&quot;props&quot;:{&quot;className&quot;:&quot;field&quot;},&quot;nodeType&quot;:&quot;DOM&quot;,&quot;type&quot;:&quot;node&quot;,&quot;instanceArgs&quot;:{&quot;namespace&quot;:&quot;html&quot;,&quot;tag&quot;:&quot;div&quot;},&quot;children&quot;:[{&quot;props&quot;:{},&quot;nodeType&quot;:&quot;Scope&quot;,&quot;type&quot;:&quot;node&quot;,&quot;instanceArgs&quot;:{&quot;imports&quot;:{&quot;data&quot;:[{&quot;name&quot;:&quot;knockout&quot;,&quot;type&quot;:&quot;js&quot;,&quot;url&quot;:&quot;/assetserver/ddb01ead2eaded5168eefe1a18f880d3b0328eb6-knockout.js&quot;},{&quot;name&quot;:&quot;knockout_punches&quot;,&quot;type&quot;:&quot;js&quot;,&quot;url&quot;:&quot;/assetserver/698ec22cdad2204967a0348a5c3b53cb4dee1aec-knockout_punches.js&quot;},{&quot;name&quot;:null,&quot;type&quot;:&quot;js&quot;,&quot;url&quot;:&quot;/assetserver/ddad6fa7f024c3ebbfbe27332141715f6bd066cb-all.js&quot;},{&quot;name&quot;:null,&quot;type&quot;:&quot;css&quot;,&quot;url&quot;:&quot;/assetserver/7d97d30a94cee2f5183717834003deaa37f5158c-style.css&quot;},{&quot;name&quot;:null,&quot;type&quot;:&quot;css&quot;,&quot;url&quot;:&quot;/assetserver/e83d79c40097aa8b0ac467a3838222cc1e26b401-main.css&quot;}],&quot;type&quot;:&quot;async_block&quot;},&quot;id&quot;:&quot;knockout-component-0410ac86-1364-4c2b-8a2e-5207aae9fba0&quot;,&quot;handlers&quot;:{&quot;_promises&quot;:{&quot;importsLoaded&quot;:[function (ko, koPunches) {\n",
-       "    ko.punches.enableAll();\n",
-       "    ko.bindingHandlers.numericValue = {\n",
-       "        init : function(element, valueAccessor, allBindings, data, context) {\n",
-       "            var stringified = ko.observable(ko.unwrap(valueAccessor()));\n",
-       "            stringified.subscribe(function(value) {\n",
-       "                var val = parseFloat(value);\n",
-       "                if (!isNaN(val)) {\n",
-       "                    valueAccessor()(val);\n",
-       "                }\n",
-       "            })\n",
-       "            valueAccessor().subscribe(function(value) {\n",
-       "                var str = JSON.stringify(value);\n",
-       "                if ((str == &quot;0&quot;) &amp;&amp; ([&quot;-0&quot;, &quot;-0.&quot;].indexOf(stringified()) &gt;= 0))\n",
-       "                     return;\n",
-       "                 if ([&quot;null&quot;, &quot;&quot;].indexOf(str) &gt;= 0)\n",
-       "                     return;\n",
-       "                stringified(str);\n",
-       "            })\n",
-       "            ko.applyBindingsToNode(element, { value: stringified, valueUpdate: allBindings.get(&#39;valueUpdate&#39;)}, context);\n",
-       "        }\n",
-       "    };\n",
-       "    var json_data = JSON.parse(&quot;{\\&quot;changes\\&quot;:0,\\&quot;value\\&quot;:0.0}&quot;);\n",
-       "    var self = this;\n",
-       "    function AppViewModel() {\n",
-       "        for (var key in json_data) {\n",
-       "            var el = json_data[key];\n",
-       "            this[key] = Array.isArray(el) ? ko.observableArray(el) : ko.observable(el);\n",
-       "        }\n",
-       "        \n",
-       "        [this[&quot;displayedvalue&quot;]=ko.computed(function () {return this.value().toPrecision(6);},this)]\n",
-       "        [this[&quot;changes&quot;].subscribe((function (val){!(this.valueFromJulia[&quot;changes&quot;]) ? (WebIO.setval({&quot;name&quot;:&quot;changes&quot;,&quot;scope&quot;:&quot;knockout-component-0410ac86-1364-4c2b-8a2e-5207aae9fba0&quot;,&quot;id&quot;:&quot;ob_15&quot;,&quot;type&quot;:&quot;observable&quot;},val)) : undefined; return this.valueFromJulia[&quot;changes&quot;]=false}),self),this[&quot;value&quot;].subscribe((function (val){!(this.valueFromJulia[&quot;value&quot;]) ? (WebIO.setval({&quot;name&quot;:&quot;value&quot;,&quot;scope&quot;:&quot;knockout-component-0410ac86-1364-4c2b-8a2e-5207aae9fba0&quot;,&quot;id&quot;:&quot;ob_14&quot;,&quot;type&quot;:&quot;observable&quot;},val)) : undefined; return this.valueFromJulia[&quot;value&quot;]=false}),self)]\n",
-       "        \n",
-       "    }\n",
-       "    self.model = new AppViewModel();\n",
-       "    self.valueFromJulia = {};\n",
-       "    for (var key in json_data) {\n",
-       "        self.valueFromJulia[key] = false;\n",
-       "    }\n",
-       "    ko.applyBindings(self.model, self.dom);\n",
-       "}\n",
-       "]},&quot;changes&quot;:[(function (val){return (val!=this.model[&quot;changes&quot;]()) ? (this.valueFromJulia[&quot;changes&quot;]=true, this.model[&quot;changes&quot;](val)) : undefined})],&quot;value&quot;:[(function (val){return (val!=this.model[&quot;value&quot;]()) ? (this.valueFromJulia[&quot;value&quot;]=true, this.model[&quot;value&quot;](val)) : undefined})]},&quot;systemjs_options&quot;:null,&quot;observables&quot;:{&quot;changes&quot;:{&quot;sync&quot;:false,&quot;id&quot;:&quot;ob_15&quot;,&quot;value&quot;:0},&quot;value&quot;:{&quot;sync&quot;:true,&quot;id&quot;:&quot;ob_14&quot;,&quot;value&quot;:0.0}}},&quot;children&quot;:[{&quot;props&quot;:{&quot;attributes&quot;:{&quot;style&quot;:&quot;display:flex; justify-content:center; align-items:center;&quot;}},&quot;nodeType&quot;:&quot;DOM&quot;,&quot;type&quot;:&quot;node&quot;,&quot;instanceArgs&quot;:{&quot;namespace&quot;:&quot;html&quot;,&quot;tag&quot;:&quot;div&quot;},&quot;children&quot;:[{&quot;props&quot;:{&quot;attributes&quot;:{&quot;style&quot;:&quot;text-align:right;width:18%&quot;}},&quot;nodeType&quot;:&quot;DOM&quot;,&quot;type&quot;:&quot;node&quot;,&quot;instanceArgs&quot;:{&quot;namespace&quot;:&quot;html&quot;,&quot;tag&quot;:&quot;div&quot;},&quot;children&quot;:[{&quot;props&quot;:{&quot;className&quot;:&quot;interact &quot;,&quot;style&quot;:{&quot;padding&quot;:&quot;5px 10px 0px 10px&quot;}},&quot;nodeType&quot;:&quot;DOM&quot;,&quot;type&quot;:&quot;node&quot;,&quot;instanceArgs&quot;:{&quot;namespace&quot;:&quot;html&quot;,&quot;tag&quot;:&quot;label&quot;},&quot;children&quot;:[&quot;field&quot;]}]},{&quot;props&quot;:{&quot;attributes&quot;:{&quot;style&quot;:&quot;flex-grow:1; margin: 0 2%&quot;}},&quot;nodeType&quot;:&quot;DOM&quot;,&quot;type&quot;:&quot;node&quot;,&quot;instanceArgs&quot;:{&quot;namespace&quot;:&quot;html&quot;,&quot;tag&quot;:&quot;div&quot;},&quot;children&quot;:[{&quot;props&quot;:{&quot;max&quot;:5.0,&quot;min&quot;:-5.0,&quot;attributes&quot;:{&quot;type&quot;:&quot;range&quot;,&quot;data-bind&quot;:&quot;numericValue: value, valueUpdate: &#39;input&#39;, event: {change : function () {this.changes(this.changes()+1)}}&quot;},&quot;step&quot;:0.1,&quot;className&quot;:&quot;slider slider is-fullwidth&quot;,&quot;style&quot;:{}},&quot;nodeType&quot;:&quot;DOM&quot;,&quot;type&quot;:&quot;node&quot;,&quot;instanceArgs&quot;:{&quot;namespace&quot;:&quot;html&quot;,&quot;tag&quot;:&quot;input&quot;},&quot;children&quot;:[]}]},{&quot;props&quot;:{&quot;attributes&quot;:{&quot;style&quot;:&quot;width:18%&quot;}},&quot;nodeType&quot;:&quot;DOM&quot;,&quot;type&quot;:&quot;node&quot;,&quot;instanceArgs&quot;:{&quot;namespace&quot;:&quot;html&quot;,&quot;tag&quot;:&quot;div&quot;},&quot;children&quot;:[{&quot;props&quot;:{&quot;attributes&quot;:{&quot;data-bind&quot;:&quot;text: displayedvalue&quot;}},&quot;nodeType&quot;:&quot;DOM&quot;,&quot;type&quot;:&quot;node&quot;,&quot;instanceArgs&quot;:{&quot;namespace&quot;:&quot;html&quot;,&quot;tag&quot;:&quot;p&quot;},&quot;children&quot;:[]}]}]}]}]})</unsafe-script>\n",
-       "</div>"
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-       "(div { className=\"field\" }\n",
-       "    (div { attributes=Dict(\"style\"=>\"display:flex; justify-content:center; align-items:center;\") }\n",
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-       "      (label { className=\"interact \" style=Dict{Any,Any}(Pair{Any,Any}(:padding, \"5px 10px 0px 10px\")) }\n",
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-       "    (div { attributes=Dict(\"style\"=>\"text-align:right;width:18%\") }\n",
-       "      (label { className=\"interact \" style=Dict{Any,Any}(Pair{Any,Any}(:padding, \"5px 10px 0px 10px\")) }\n",
-       "        \"simulation speed\"))\n",
-       "    (div { attributes=Dict(\"style\"=>\"flex-grow:1; margin: 0 2%\") }\n",
-       "      (input { max=2.0 min=0.0 attributes=Dict{Any,Any}(Pair{Any,Any}(:type, \"range\"),Pair{Any,Any}(Symbol(\"data-bind\"), \"numericValue: value, valueUpdate: 'input', event: {change : function () {this.changes(this.changes()+1)}}\")) step=0.1 className=\"slider slider is-fullwidth\" style=Dict{Any,Any}() }))\n",
-       "    (div { attributes=Dict(\"style\"=>\"width:18%\") }\n",
-       "      (p { attributes=Dict(\"data-bind\"=>\"text: displayedvalue\") }))))"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Gives us some sliders to manipulate parameters\n",
-    "temperature_slider = slider(0.:0.01:10., label=\"temperature\", value=2.26)\n",
-    "temperature = observe(temperature_slider)\n",
-    "temperature_signal = Signal(2.26)\n",
-    "on(val->push!(temperature_signal,val), temperature)\n",
-    "display(temperature_slider)\n",
-    "\n",
-    "h_slider = slider(-5.:0.1:+5., label=\"field\")\n",
-    "h = observe(h_slider)\n",
-    "h_signal = Signal(0.)\n",
-    "on(val->push!(h_signal,val), h)\n",
-    "display(h_slider)\n",
-    "\n",
-    "a_slider = slider(0.:0.1:2., label=\"simulation speed\", value=0.)\n",
-    "a = observe(a_slider)\n",
-    "a_signal = Signal(0.)\n",
-    "on(val->push!(a_signal,val), a)\n",
-    "display(a_slider)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 134,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "3.85"
-      ]
-     },
-     "execution_count": 134,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 3.85 is the transition field strength at T=0.03\n",
-    "h[] = +3.85"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "__Prepare the initial state__\n",
-    "\n",
-    "*Make sure to call `reset_window()` before changing the system size!*"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 87,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "reset_window()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 88,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "L=128\n",
-    "config0 = frustratedConfiguration(L);\n",
-    "cluster = zeros(Bool, L,L)\n",
-    "#config0 = randomConfiguration(L);\n",
-    "sweep!(config0,0,1/temperature[],0.)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "__Prepare the window, signals and primitives__"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 95,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "if !isdefined(:window) || !isopen(window)\n",
-    "    window=glscreen(resolution=(800,800))\n",
-    "end\n",
-    "\n",
-    "reset_window()\n",
-    "\n",
-    "target_fps = 60\n",
-    "timesignal = fps(target_fps)\n",
-    "\n",
-    "state_map = Reactive.map((_,T,h)->sweep!(config0,div(a[]*L^2,target_fps),1/T,h), timesignal,temperature_signal,h_signal);\n",
-    "color_signal=map(_->reshape(color_gen(config0,0.3),L^2,1)[:,1], timesignal)\n",
-    "\n",
-    "#position = Point2f0[Point2f0(800/L*(xi+1/2),800/L*(yi+1/2)) for (xi,yi) in product(0:L-1,0:L-1)]\n",
-    "position = Point3f0[Point3f0(2*xi/L-1.,2*yi/L-1.,0) for (xi,yi) in product(0:L-1,0:L-1)]\n",
-    "\n",
-    "#square = HyperRectangle(Vec2f0(0),Vec2f0(800/L));\n",
-    "square = HyperRectangle(Vec3f0(0.),Vec3f0(2/L,2/L,0));\n",
-    "circle = HyperSphere(Point3f0(0),2f0/L);"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "__Visualize the lattice__"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 93,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# [diffuse_color, specular_color, ambient_color, position]\n",
-    "light  = Vec3f0[Vec3f0(0.0,0.0,0.0), Vec3f0(0.1,0.1,0.1), Vec3f0(1.0,1.0,1.0), Vec3f0(0,0,100)];"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "208: \"input-127\" = GeometryTypes.Vec{3,Float32}[Float32[1.0, 1.0, 1.0], Float32[0.1, 0.1, 0.1], Float32[1.0, 1.0, 1.0], Float32[0.0, 0.0, 10.0]] Array{GeometryTypes.Vec{3,Float32},1} "
-      ]
-     },
-     "execution_count": 30,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "light=Signal(light)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using GLAbstraction"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 96,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "lattice = visualize((square,position),color=color_signal);\n",
-    "lattice.children[1].uniforms[:light] = light;"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 97,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "_view(lattice,window,camera=:perspective)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 94,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "4-element Array{GeometryTypes.Vec{3,Float32},1}:\n",
-       " Float32[0.0, 0.0, 0.0]  \n",
-       " Float32[0.1, 0.1, 0.1]  \n",
-       " Float32[1.0, 1.0, 1.0]  \n",
-       " Float32[0.0, 0.0, 100.0]"
-      ]
-     },
-     "execution_count": 94,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": []
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "__Adjust the camera to look from above into the xy-plane__"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 65,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "adjust_cam!(window,eyepos_vec=Vec3f0(0,0,-1))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "__Start the render loop__"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 36,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Task (runnable) @0x000000011cac7850"
-      ]
-     },
-     "execution_count": 36,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "@async renderloop(window)"
-   ]
-  }
- ],
- "metadata": {
-  "anaconda-cloud": {},
-  "kernelspec": {
-   "display_name": "Julia 0.6.4",
-   "language": "julia",
-   "name": "julia-0.6"
-  },
-  "language_info": {
-   "file_extension": ".jl",
-   "mimetype": "application/julia",
-   "name": "julia",
-   "version": "0.6.4"
-  },
-  "widgets": {
-   "application/vnd.jupyter.widget-state+json": {
-    "state": {},
-    "version_major": 2,
-    "version_minor": 0
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/README.md b/README.md
index 821e55c..7cb2cb8 100644
--- a/README.md
+++ b/README.md
@@ -1,3 +1,60 @@
 # Ising
 
-This package implements Markov-chain-Monte-Carlo methods (MCMC) to study the equilibrium thermodynamic behavior of the Ising model on a square lattice.
+This package implements Markov-chain-Monte-Carlo methods (MCMC) to study the equilibrium thermodynamic behavior of the Ising model on a square lattice. Currently it implements the classical Metropolis algorithm as well as Wolff's cluster algorithm.
+
+You'll find a source file with all the simulation routines and a notebook that ties them together into parametric studies, produces nice plots and so on.
+The notebook also includes a section called __"Live visualization"__. See below.
+
+It is mainly intended for students of statistical physics learning about phase transitions and critical phenomena.
+
+For now the simulation is restricted to a square lattice with constant couplings and external fields. It should however be quite easy to extend the code to cover more general systems.
+
+__If you spot an error or are missing a feature, please feel free to open an issue or a pull request!__
+
+## Installation
+
+### Compatibility
+Julia >= 0.6 is required for the simulation and data analysis portion of the notebook.
+
+At the moment the live-visualization requires Julia 0.6 and is not (yet) compatible with Julia 0.7.
+
+### Setup
+
+Clone the files to your computer
+```bash
+  git clone https://github.com/skleinbo/Ising.git
+```
+
+The simulation routines assembled in `src/mcmc.jl` use base Julia only.
+
+If you want to follow along the analysis in the accompanying notebook, a few packages need to be installed.  
+Run `src/build.jl` once to install any missing packages.
+
+## Usage
+
+Look around the source code to see which methods are available. Here's a minimal example to get you going:
+
+```julia
+julia> include("src/mcmc.jl");
+
+julia> L=128; # _Linear_ system size
+
+help> run_metropolis
+[...]
+
+julia> run_metropolis(L, 1/2.26, 0.; Tmax=25*10^3*L^2,sample_interval=10*L^2,sweep=10^3*L^2)
+5-element Array{Float64,1}:
+  -253.3488
+ 64566.7776
+     0.002934521484375
+     9.098881483078003e-6
+     1.0010325963705214e-10
+```
+
+Admittedly the notebook is not that simple to understand if you hadn't had much exposure to Julia and DataFrames. Write your own routines!
+
+### Live Visualization
+
+A few more packages are need to give us interactivity and render a scene. They will be installed automatically once you load `src/visualization.jl`.
+
+If you execute the cells at the end of the notebook in order, two things should happen. You should be presented with three sliders inside the notebook that allow you to control temperature, field strength, and simulation speed. A window should open in which the system is presented as a checker board.
diff --git a/Visualization.ipynb b/Visualization.ipynb
new file mode 100644
index 0000000..de2896b
--- /dev/null
+++ b/Visualization.ipynb
@@ -0,0 +1,137 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Real time visualization"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "include(\"src/mcmc.jl\")\n",
+    "include(\"src/visualization.jl\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Setup sliders to tune parameters"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Gives us some sliders to manipulate parameters\n",
+    "temperature_slider = slider(0.:0.01:10., label=\"temperature\", value=2.26)\n",
+    "temperature = observe(temperature_slider)\n",
+    "temperature_signal = Signal(2.26)\n",
+    "on(val->push!(temperature_signal,val), temperature)\n",
+    "display(temperature_slider)\n",
+    "\n",
+    "h_slider = slider(-5.:0.1:+5., label=\"field\")\n",
+    "h = observe(h_slider)\n",
+    "h_signal = Signal(0.)\n",
+    "on(val->push!(h_signal,val), h)\n",
+    "display(h_slider)\n",
+    "\n",
+    "a_slider = slider(0.:0.1:2., label=\"simulation speed\", value=0.)\n",
+    "a = observe(a_slider)\n",
+    "a_signal = Signal(0.)\n",
+    "on(val->push!(a_signal,val), a)\n",
+    "display(a_slider)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "__Prepare the initial state__\n",
+    "\n",
+    "*Make sure to call `reset_window()` before changing the system size!*"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "reset_window()\n",
+    "L=128\n",
+    "config0 = frustratedConfiguration(L);\n",
+    "cluster = zeros(Bool, L,L);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "__Prepare the window, signals and primitives. Start the renderloop.__"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if !isdefined(:window) || !isopen(window)\n",
+    "    window=glscreen(resolution=(800,800))\n",
+    "end\n",
+    "\n",
+    "reset_window()\n",
+    "\n",
+    "target_fps = 60\n",
+    "timesignal = fps(target_fps)\n",
+    "\n",
+    "state_map = Reactive.map((_,T,h)->sweep!(config0,div(a[]*L^2,target_fps),1/T,h), timesignal,temperature_signal,h_signal);\n",
+    "color_signal=map(_->reshape(color_gen(config0,0.3),L^2,1)[:,1], timesignal)\n",
+    "\n",
+    "#position = Point2f0[Point2f0(800/L*(xi+1/2),800/L*(yi+1/2)) for (xi,yi) in product(0:L-1,0:L-1)]\n",
+    "position = Point3f0[Point3f0(2*xi/L-1.,2*yi/L-1.,0) for (xi,yi) in product(0:L-1,0:L-1)]\n",
+    "\n",
+    "#square = HyperRectangle(Vec2f0(0),Vec2f0(800/L));\n",
+    "square = HyperRectangle(Vec3f0(0.),Vec3f0(2/L,2/L,0));\n",
+    "circle = HyperSphere(Point3f0(0),2f0/L);\n",
+    "\n",
+    "# [diffuse_color, specular_color, ambient_color, position]\n",
+    "light  = Vec3f0[Vec3f0(0.0,0.0,0.0), Vec3f0(0.1,0.1,0.1), Vec3f0(1.0,1.0,1.0), Vec3f0(0,0,100)];\n",
+    "\n",
+    "light=Signal(light)\n",
+    "\n",
+    "lattice = visualize((square,position),color=color_signal);\n",
+    "lattice.children[1].uniforms[:light] = light;\n",
+    "\n",
+    "_view(lattice,window,camera=:perspective)\n",
+    "\n",
+    "adjust_cam!(window,eyepos_vec=Vec3f0(0,0,-1))\n",
+    "\n",
+    "@async renderloop(window)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Julia 0.6.4",
+   "language": "julia",
+   "name": "julia-0.6"
+  },
+  "language_info": {
+   "file_extension": ".jl",
+   "mimetype": "application/julia",
+   "name": "julia",
+   "version": "0.6.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/img/slider.png b/img/slider.png
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HcmV?d00001

diff --git a/src/build.jl b/src/build.jl
new file mode 100644
index 0000000..7b9734b
--- /dev/null
+++ b/src/build.jl
@@ -0,0 +1,9 @@
+for package in ["GLM","Plots","LaTeXStrings", "StatPlots", "DataFrames", "DataFramesMeta","Interact","CSV"]
+    try
+        sp = Symbol(package)
+        @eval import $sp
+    catch err
+        info("Package $package not installed. Trying to...")
+        Pkg.add(package)
+    end
+end
diff --git a/src/mcmc.jl b/src/mcmc.jl
new file mode 100644
index 0000000..6e86c52
--- /dev/null
+++ b/src/mcmc.jl
@@ -0,0 +1,282 @@
+### Monte Carlo routines for
+### the 2D Ising model
+
+"""
+    randomConfiguration(L)
+
+Returns a LxL Matrix filled randomly with ±1.
+"""
+function randomConfiguration(L::Int)
+    return rand(Int8[-1,1], L,L)
+end
+
+"""
+    frustratedConfiguration(L)
+
+Returns a configuration where all bonds are frustrated.
+"""
+function frustratedConfiguration(L::Int)
+    return Int8[(-1)^(i+j) for i=1:L,j=1:L]
+end
+
+"""
+    H(state, J=1.,h=0.)
+
+Energy of Ising configuration for a given coupling `J` and external field `h`.
+"""
+function H(state::Matrix{Int8},J=1.,h=0.)
+    L = size(state,1)
+    s = 0.
+    s = h*(sum(state))
+
+    @inbounds for i in 1:L, j in 1:L
+        s += -J*state[i,j]*(state[i%L+1,j]+state[i,j%L+1])
+    end
+    return s
+end
+
+"""
+    dH(state,pos,J=1.,h=0.)
+
+Energy difference between the current state `state`
+and one spin flipped at position `(i,j)` given coupling and field strength.
+"""
+function dH(state::Matrix{Int8},i,j,J=1.,h=0.)
+    L = size(state,1)
+    @inbounds return 2*J*state[i,j]*( state[i%L+1,j]+state[i,j%L+1]+
+        state[i==1 ? L : i-1,j]+state[i,j==1 ? L : j-1] ) + 2*h*state[i,j]
+end
+
+"""
+    m(state)
+
+Magnetization per spin
+"""
+m(state) = Float64(sum(state)/length(state))
+
+"""
+    metropolis_step!(state,beta,h)
+
+Perform one step of the Metropolis algorithm.
+`state` is mutated.
+"""
+function metropolis_step!(state::Matrix{Int8},beta,h)
+    i = rand(1:size(state,1))
+    j = rand(1:size(state,2))
+    dh = dH(state,i,j,1.,h)
+    if dh <= 0 || rand()<exp(-beta*dh)
+        state[i,j] *= -1
+    end
+    return nothing
+end
+
+"""
+    sweep!(state,n,beta,h)
+
+Perform n Metropolis steps.
+"""
+function sweep!(state,n,beta,h)
+    for _ in 1:n
+        metropolis_step!(state,beta,h)
+    end
+end
+
+"""
+    init(L,beta,h,sweep)
+
+Setup a configuration with `LxL` spins and perform an intial thermal sweep of
+`sweep` timesteps.
+"""
+function init(L,beta,h,sweep)
+    state = randomConfiguration(L)
+    # Initial sweep to get into the steady state
+    sweep!(state,sweep,beta,h)
+    return state
+end
+
+"""
+    run_metropolis(L, beta, h;Tmax=1, sweep=0, sample_interval=1)
+
+Sets up a random state and runs the Metropolis algorithm for a given set of parameters.
+Samples in defined intervals along the Markov-Chain.
+
+An initial thermal sweep to go to equilibrium may be specified.
+
+Returns an array of averaged observables: [E, E^2, m, m^2, m^4] with total
+energy E and magnetisation per spin m.
+
+# Arguments
+- L::Integer:            Linear system size
+- beta::Float:            Inverse temperature
+- h::Float:               External field
+- Tmax::Integer:          Number of steps
+- sweep::Integer:         Length of the initial sweep
+- sample_interval::Integer: sample interval
+
+# Example
+```
+julia> run_metropolis(50, 0., 0.;Tmax=50*10^3*50^2,sample_interval=10*50^2,sweep=10^3*50^2)
+5-element Array{Float64,1}:
+  -39.9664      # <E>
+ 1753.5168      # <E^2>
+    0.010382079999999908 # <m>
+    0.00011572633600000021 # <m^2>
+    1.6924325969920386e-8 # <m^4>
+```
+"""
+function run_metropolis(L::Int, beta,h;Tmax::Int=1,sweep::Int=0,sample_interval::Int=1)
+    ## Initialise a random state
+    state = init(L,beta,h,sweep)
+    return _run_metropolis!(state,beta,h,Tmax=Tmax,sample_interval=sample_interval)
+end
+
+"""
+    _run_metropolis!(state::Matrix{Int8},beta,h;Tmax::Int=1,sample_interval::Int=1)
+
+Analogous to `run_metropolis` but mutates an existing state. Called by `run_metropolis`.
+"""
+function _run_metropolis!(state::Matrix{Int8},beta,h;Tmax::Int=1,sample_interval::Int=1)
+
+    ## Define a matrix to record the observables.
+    ## One entry for each observable, e.g E and m.
+    ## Preallocating the matrix gives much better performance than
+    ## constructing it on the fly.
+    observables = zeros(Float64,5)
+
+    k = 0 #counts the number of samples
+
+    # pick the middle lattice site for the spin correlation
+
+    t=0 #number of simulation steps
+    e=0.
+    mag=0.
+
+    @inbounds begin
+        while(t<Tmax)
+            ## Do the defined no. of steps before
+            ## taking a measurement
+            sweep!(state,sample_interval,beta,h)
+
+            ## Record observables
+            e = H(state,1.,h)
+            mag = m(state)
+            observables[1] += e
+            observables[2] += e^2
+            observables[3] += mag
+            observables[4] += mag^2
+            observables[5] += mag^4
+
+            ## increment counters
+            k+=1
+            t+=sample_interval
+        end
+    end
+    ## Return statistics about the observables
+    return observables/k
+end
+
+"""
+    metropolis_timeseries(L, β, Tmax; sample_interval=L^2, sweep=1000)
+
+Follows along a Markov chain in time.  
+Initialises a random configuration, sweeps it for `sweep*L^2` timsteps, and records
+magnetetisation every `sample_interval` until `Tmax`.
+"""
+function metropolis_timeseries(L::Int, beta, Tmax; sample_interval=L^2, sweep=1000)
+    state = init(L,beta,0.,sweep*L^2)
+    ts = Vector{Float64}(div(Tmax,sample_interval))
+    t=0
+    k=1
+    mag0 = m(state)
+    while(t<Tmax)
+        sweep!(state,sample_interval,beta,0.)
+        ts[k] = m(state)
+        k+=1
+        t+=sample_interval
+    end
+    return ts
+end
+
+### Wolff algorithm ###
+### --------------- ###
+
+function cluster!(cluster_state, state, i,j, p)
+    @inbounds begin L = size(state, 1)
+        s = state[i,j]
+        cluster_state[i,j] = true
+        for neighbor in [(i%L+1,j),(i,j%L+1),(i==1 ? L : i-1,j),(i,j==1 ? L : j-1)]
+            if state[neighbor...] == s && !cluster_state[neighbor...] && rand()<p
+                cluster_state[neighbor...]=true
+                cluster!(cluster_state, state, neighbor..., p)
+            end
+        end
+    end
+end
+
+function wolff_step!(state, cluster_state, beta)
+    @inbounds begin
+        L = size(state,1)
+        i,j = rand(1:L,2)
+        fill!(cluster_state, false)
+        cluster!(cluster_state, state, i,j, 1.0-exp(-2.0*beta))
+        state[cluster_state] *= -1
+    end
+    return nothing
+end
+
+function _run_wolff!(state::Matrix{Int8},cluster,beta,h;Tmax::Int=1,sample_interval::Int=1)
+
+    ## Define a matrix in which to record the observables.
+    ## One row for each observable, e.g E and m.
+    ## Preallocating the matrix gives much better performance than
+    ## constructing it on the fly.
+    observables = zeros(Float64,5)
+
+    k = 0 #counts the number of samples
+
+    # pick the middle lattice site for the spin correlation
+
+    t=0 #number of simulation steps
+    r=0 #repeat counter
+    e=0.
+    mag=0.
+    @inbounds begin
+        while(t<Tmax)
+            ## Do the defined no. of steps before
+            ## taking a measurement
+            for _ in 1:sample_interval
+                wolff_step!(state, cluster, beta)
+            end
+            ## Record observables
+            e = H(state,1.,0.)
+            mag = m(state)|>abs
+            observables[1] += e
+            observables[2] += e^2
+            observables[3] += mag
+            observables[4] += mag^2
+            observables[5] += mag^4
+
+            ## increment counters
+            k+=1
+            t+=sample_interval
+        end
+    end
+    ## Return statistics about the observables
+    return observables/k
+end
+
+function run_wolff(L::Int, beta,h;Tmax::Int=1,sweep::Int=0,sample_interval::Int=1)
+    ## Initialise a random state
+    function init(L,beta)
+        state = randomConfiguration(L)
+        cluster = zeros(Bool,L,L)
+        # Initial sweep to get into the steady state
+        for _ in 1:sweep
+            wolff_step!(state, cluster, beta)
+        end
+        return state,cluster
+    end
+
+    state,cluster = init(L,beta)
+    return _run_wolff!(state,cluster,beta,0.,Tmax=Tmax,sample_interval=sample_interval)
+end
diff --git a/src/visualization.jl b/src/visualization.jl
new file mode 100644
index 0000000..9424e53
--- /dev/null
+++ b/src/visualization.jl
@@ -0,0 +1,44 @@
+for package in ["GLVisualize", "GeometryTypes", "GLAbstraction", "IterTools",
+                "Colors","Reactive","Interact"]
+    try
+        sp = Symbol(package)
+        @eval using $sp
+    catch err
+        info("Package $package not installed. Trying to...")
+        Pkg.add(package)
+    end
+end
+
+
+# This function maps the spin state to an array of colors
+function color_gen(v0,basecolor)
+    map(v0) do x
+        if x==1
+            RGB(0f0,0f0,0f0)
+        elseif x==-1.
+            RGB(1f0,min(1f0,Float32(basecolor)),0f0)
+        end
+    end
+end
+
+# Reset window
+function reset_window()
+try
+    empty!(window)
+    close(color_signal)
+    close(state_map)
+    close(timesignal)
+    close(temperature)
+catch UndefVarError
+end
+end
+
+function adjust_cam!(window;eyepos_vec=Vec3f0(0,0,+1),lookat_vec=Vec3f0(0,0,0),
+    up_vec=cross(lookat_vec-eyepos_vec,-Vec3f0(1,0,0))
+    )
+
+    push!(window.cameras[:perspective].eyeposition, eyepos_vec)
+    push!(window.cameras[:perspective].lookat, lookat_vec)
+    push!(window.cameras[:perspective].up, up_vec)
+    push!(window.cameras[:perspective].fov, 90)
+end

From f5ecd8ed071b2a8d35e18687b8da587b164bbe1f Mon Sep 17 00:00:00 2001
From: Stephan Kleinboelting <skleinbo@thp.uni-koeln.de>
Date: Sat, 25 Aug 2018 14:06:22 +0200
Subject: [PATCH 2/3] docstrings

---
 src/mcmc.jl | 42 +++++++++++++++++++++++++++++++++---------
 1 file changed, 33 insertions(+), 9 deletions(-)

diff --git a/src/mcmc.jl b/src/mcmc.jl
index 6e86c52..237c1f6 100644
--- a/src/mcmc.jl
+++ b/src/mcmc.jl
@@ -145,16 +145,14 @@ function _run_metropolis!(state::Matrix{Int8},beta,h;Tmax::Int=1,sample_interval
 
     k = 0 #counts the number of samples
 
-    # pick the middle lattice site for the spin correlation
-
-    t=0 #number of simulation steps
-    e=0.
-    mag=0.
+    t = 0 #simulation steps
+    e = 0.
+    mag = 0.
 
     @inbounds begin
         while(t<Tmax)
-            ## Do the defined no. of steps before
-            ## taking a measurement
+            ## Take the defined no. of steps before
+            ## recording a measurement
             sweep!(state,sample_interval,beta,h)
 
             ## Record observables
@@ -171,14 +169,14 @@ function _run_metropolis!(state::Matrix{Int8},beta,h;Tmax::Int=1,sample_interval
             t+=sample_interval
         end
     end
-    ## Return statistics about the observables
+    ## Return sample means
     return observables/k
 end
 
 """
     metropolis_timeseries(L, β, Tmax; sample_interval=L^2, sweep=1000)
 
-Follows along a Markov chain in time.  
+Follows along a Markov chain in time.
 Initialises a random configuration, sweeps it for `sweep*L^2` timsteps, and records
 magnetetisation every `sample_interval` until `Tmax`.
 """
@@ -200,6 +198,14 @@ end
 ### Wolff algorithm ###
 ### --------------- ###
 
+"""
+    cluster!(cluster_state, state, i,j, p)
+
+Builds a cluster around position `(i,j)` with acceptance rate `p`.
+
+`cluster_state` is a boolean matrix of the same size as the system. It is set to `true` whenever
+a site belongs to the cluster.
+"""
 function cluster!(cluster_state, state, i,j, p)
     @inbounds begin L = size(state, 1)
         s = state[i,j]
@@ -213,6 +219,11 @@ function cluster!(cluster_state, state, i,j, p)
     end
 end
 
+"""
+    wolff_step!(state, cluster_state, beta)
+
+Build a cluster and flip it.
+"""
 function wolff_step!(state, cluster_state, beta)
     @inbounds begin
         L = size(state,1)
@@ -224,6 +235,14 @@ function wolff_step!(state, cluster_state, beta)
     return nothing
 end
 
+"""
+    _run_wolff!(state,cluster,beta,h;Tmax=1,sample_interval=1)
+
+Run the Wolff cluster algorithm on a given state. You need to provide a cluster matrix, e.g
+`similar(state,Bool)`.
+
+See also: [`_run_metropolis`]
+"""
 function _run_wolff!(state::Matrix{Int8},cluster,beta,h;Tmax::Int=1,sample_interval::Int=1)
 
     ## Define a matrix in which to record the observables.
@@ -265,6 +284,11 @@ function _run_wolff!(state::Matrix{Int8},cluster,beta,h;Tmax::Int=1,sample_inter
     return observables/k
 end
 
+"""
+    run_wolff(L, beta,h;Tmax=1,sweep=0,sample_interval=1)
+
+See also: [`run_metropolis`]
+"""
 function run_wolff(L::Int, beta,h;Tmax::Int=1,sweep::Int=0,sample_interval::Int=1)
     ## Initialise a random state
     function init(L,beta)

From 06d12ce7f59bbea46a195eb1cd46b93025902561 Mon Sep 17 00:00:00 2001
From: Stephan Kleinboelting <skleinbo@thp.uni-koeln.de>
Date: Sun, 26 Aug 2018 10:26:28 +0200
Subject: [PATCH 3/3] Image

---
 README.md      |   5 +++--
 img/window.png | Bin 0 -> 426258 bytes
 2 files changed, 3 insertions(+), 2 deletions(-)
 create mode 100644 img/window.png

diff --git a/README.md b/README.md
index 7cb2cb8..80c3581 100644
--- a/README.md
+++ b/README.md
@@ -2,8 +2,8 @@
 
 This package implements Markov-chain-Monte-Carlo methods (MCMC) to study the equilibrium thermodynamic behavior of the Ising model on a square lattice. Currently it implements the classical Metropolis algorithm as well as Wolff's cluster algorithm.
 
-You'll find a source file with all the simulation routines and a notebook that ties them together into parametric studies, produces nice plots and so on.
-The notebook also includes a section called __"Live visualization"__. See below.
+You'll find a source file with all the simulation routines and a notebook that ties them together into parametric studies, produces nice plots and so on.  
+Also included is a notebook for visualizing the dynamics See __"Live visualization"__ below.
 
 It is mainly intended for students of statistical physics learning about phase transitions and critical phenomena.
 
@@ -54,6 +54,7 @@ julia> run_metropolis(L, 1/2.26, 0.; Tmax=25*10^3*L^2,sample_interval=10*L^2,swe
 Admittedly the notebook is not that simple to understand if you hadn't had much exposure to Julia and DataFrames. Write your own routines!
 
 ### Live Visualization
+<center><img src="img/window.png" width=300></img></center>
 
 A few more packages are need to give us interactivity and render a scene. They will be installed automatically once you load `src/visualization.jl`.
 
diff --git a/img/window.png b/img/window.png
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