{ "cells": [ { "cell_type": "markdown", "source": [ "# Cantilever with a Tip Moment\n", "\n", "This example shows how to predict the behavior of a cantilever beam that is subjected\n", "to a constant tip moment. This is a common benchmark problem for the geometrically\n", "nonlinear analysis of beams.\n", "\n", "" ], "metadata": {} }, { "outputs": [], "cell_type": "code", "source": [ "using GXBeam, LinearAlgebra\n", "\n", "L = 12 # inches\n", "h = w = 1 # inches\n", "E = 30e6 # lb/in^4 Young's Modulus\n", "\n", "A = h*w\n", "Iyy = w*h^3/12\n", "Izz = w^3*h/12\n", "\n", "# bending moment (applied at end)\n", "λ = [0.0, 0.4, 0.8, 1.2, 1.6, 1.8, 2.0]\n", "m = pi*E*Iyy/L\n", "M = λ*m\n", "\n", "# create points\n", "nelem = 16\n", "x = range(0, L, length=nelem+1)\n", "y = zero(x)\n", "z = zero(x)\n", "points = [[x[i],y[i],z[i]] for i = 1:length(x)]\n", "\n", "# index of endpoints of each beam element\n", "start = 1:nelem\n", "stop = 2:nelem+1\n", "\n", "# compliance matrix for each beam element\n", "compliance = fill(Diagonal([1/(E*A), 0, 0, 0, 1/(E*Iyy), 1/(E*Izz)]), nelem)\n", "\n", "# create assembly of interconnected nonlinear beams\n", "assembly = Assembly(points, start, stop, compliance=compliance)\n", "\n", "# pre-initialize system storage\n", "system = StaticSystem(assembly)\n", "\n", "# run an analysis for each prescribed bending moment\n", "states = Vector{AssemblyState{Float64}}(undef, length(M))\n", "for i = 1:length(M)\n", "\n", " # create dictionary of prescribed conditions\n", " prescribed_conditions = Dict(\n", " # fixed left side\n", " 1 => PrescribedConditions(ux=0, uy=0, uz=0, theta_x=0, theta_y=0, theta_z=0),\n", " # moment on right side\n", " nelem+1 => PrescribedConditions(Mz = M[i])\n", " )\n", "\n", " # perform a static analysis\n", " _, states[i], converged = static_analysis!(system, assembly;\n", " prescribed_conditions = prescribed_conditions)\n", "\n", "end\n", "\n", "nothing #hide" ], "metadata": {}, "execution_count": 1 }, { "cell_type": "markdown", "source": [ "## Comparison with Analytical Results" ], "metadata": {} }, { "cell_type": "markdown", "source": [ "This problem has a simple analytical solution, which we obtained from \"Study of the\n", "Geometric Stiffening Effect: Comparison of Different Formulations\" by Juana M. Mayo,\n", "Daniel Garcia-Vallejo, and Jaime Dominguez." ], "metadata": {} }, { "outputs": [], "cell_type": "code", "source": [ "# analytical solution (ρ = E*I/M)\n", "analytical(x, ρ) = ifelse(ρ == Inf, zeros(3), [ρ*sin(x/ρ)-x, ρ*(1-cos(x/ρ)), 0])\n", "nothing #hide" ], "metadata": {}, "execution_count": 2 }, { "cell_type": "markdown", "source": [ "Plotting the results reveals that the analytical and computational results show\n", "excellent agreement." ], "metadata": {} }, { "outputs": [], "cell_type": "code", "source": [ "using Plots\n", "pyplot()\n", "nothing #hide" ], "metadata": {}, "execution_count": 3 }, { "outputs": [ { "output_type": "execute_result", "data": { "text/plain": "Plot{Plots.PyPlotBackend() n=16}", "image/png": "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", "text/html": [ "<img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAACv/0lEQVR4nOzdd3hUZfbA8e+0lEkljTSS0JJAgDSKgKAIKCIKJFiwgbpi23X9qasoAQQCsipgX2EVRVEUyVhQhAUVKy2EUFLpJBBIIb1P5v7+YIkbSSBlkkk5n+fZZ2XmvfeeO5lkzrzlvCpFURSEEEIIIYTZqC0dgBBCCCFEZyMJlhBCCCGEmUmCJYQQQghhZpJgCSGEEEKYmSRYQgghhBBmJgmWEEIIIYSZSYIlhBBCCGFmbZpgHT58mBEjRhAYGMjQoUNJTk6ut92WLVuIjIwkPDycAQMGsGbNmrYMUwghhBCiRVRtWWj0uuuu495772XmzJls2LCBZcuWsWPHjjptFEXBzc2NH3/8kUGDBnHixAmCg4PJycnBwcGhrUIVQgghhGi2NuvBys7OJiEhgbvvvhuA6Ohojh8/zokTJ+ptX1BQAEBRURGurq5YW1tf0qasrIyEhATKyspaK2whhBBCiCbTttWFMjIy8Pb2Rqu9cEmVSoWfnx+nTp0iICCgtp1KpWL9+vVERUVhZ2dHfn4+BoMBKyurS86ZmppKZGQko0aNwtnZmenTpzN9+vS2uiUhhBBCiHq1WYIFF5Kn/1Xf6KTRaOTFF1/kq6++YuTIkezZs4cpU6Zw8OBBXFxc6j3vq6++SkRERKvELIQQQgjRVG02RNijRw8yMzMxGo3AheQqIyMDPz+/Ou0SExM5c+YMI0eOBGDIkCF4e3uzf//+tgpVCCGEEKJF2izB8vDwIDw8nLVr1wIQFxdHQEBAneFB+CMRS0tLA+DIkSMcPXqUwMDAtgpVCCGEEKJF2nSIcOXKlcycOZMlS5bg6OhYp/zCxIkTWbhwIYMHD2blypVMmzYNtVqNoii8/fbb+Pj4tGWoQgghhBDN1qZlGswtISGByMhI9u7dK3OwhBBCdBqnTp0iNzfX0mGIBri5uV0yxenP2rQHSwghhBCXd+rUKfr16ycliNoxvV5PSkrKZZMsSbCEEEKIdiQ3N5eysjLWrl1Lv379LB2O+JOUlBTuvvtucnNzJcESQgghOpp+/frJ9JcOTDZ7FkIIIYQwM0mwhBBCCCHMTBIsIYQQQggzkwRLCCGEEMLMJMESQgghOjGTyURJSQkmk8nSoXQpkmAJIYQQnVBiYiIzZszA3t4eBwcH7O3tmTFjBomJiZYOrUuQBEsIIYToZD755BOGDBnChx9+SHl5OQDl5eV8+OGHDBkyhHXr1rX4GtXV1SxYsIDg4GBCQkIIDw9nypQpJCYmsn79esLCwqiurgagpqaGq666ig8++ACAmTNn4uvrS1hYGIMGDWL06NGkpqa2OKb2RBIsIYQQohO52HNlNBrrfd5oNHLvvfe2uCfrvvvuY9++fezYsYOkpCT27dvHAw88QFJSErfddhuBgYEsWLAAgKVLl+Lu7s7MmTNrj589ezaJiYkcOHCASZMmMXfu3BbF095IoVEhhBCiE1mxYkWDydVFRqORV199tbZHqakOHz7MF198QUZGBt26dat9/Oabb67977fffpvQ0FD8/f1588032bdvX73nUhSFgoKCOufZsmULixYtory8HK1Wy8svv8zo0aM5e/Ys06dPp6ioiIqKCsaOHctrr72GSqXihRdeIC0tjeLiYlJTU4mIiOC5557jqaee4sSJE0yZMoXly5c3636bQxIsIYQQopMwmUx8/vnnjWq7fv16Vq9ejVrd9MGsffv20adPH1xcXBps4+bmxj//+U/uuece1q5di6enZ53nly5dyrvvvktOTg4ajYaff/4ZgGPHjrFgwQI2b96Mo6MjR44c4ZprruHEiRM4OzuzceNG7O3tqampYfLkycTFxTFt2jQA4uPjiY+Px97enoiICGbPns13332H0WikZ8+ePPzwwwQGBjb5fptDhgiFEEKITqKsrKx2ztWVlJeXN7ptfVQqVe1/Hz16lLCwMIKCgnjwwQdrH//iiy/w9fWtt/fq4hDh6dOneeGFF2qTpM2bN3PkyBFGjx5NWFhY7eMZGRmYTCaeffZZQkNDCQ8PJz4+vs5Q5w033ICTkxMajYZBgwYxfvx4rK2tsbOzIygoiGPHjjX7fptKEiwhhBCik9Dr9dja2jaqra2tbaPb/ll4eDiHDx8mPz8fgN69e5OYmMhzzz1X+9jHH3/M8ePHSUhIYP369fz+++8Nnu+OO+5g79695OTkoCgKEyZMIDExsfZ/p0+fplevXixfvpy8vDx27drFgQMHuPPOO6moqKg9j42NTe1/azSaS/59paFTc5IESwghhOgk1Go1t956a6Pa3nbbbc0aHgTo27cvkydP5oEHHqCgoKD28dLSUgCysrJ4+umnWbNmDe7u7qxcuZL777+/wR6z77//HldXV1xdXbn++uvZvHkzhw4dqn1+9+7dAOTn5+Pp6YmNjQ3nzp1r9HCoJcgcLCGEEKIT+b//+z8++eSTy/bWaLVannjiiRZd54MPPmDx4sUMGzYMjUZDt27d8PDwYPbs2Tz44IP87W9/Y+DAgQDceOONfP7558yZM6d2ovnFOViKomBtbU1cXBxqtZq+ffuydu1a/vKXv1BeXk5VVRURERF8/PHHPP7449x6662EhYXh4+PDuHHjWnQPrUmlKIpi6SCaKyEhgcjISPbu3UtERISlwxFCCCFazByfbZ988kmDpRq0Wi0ffvgh06dPb2moXVJjfz4yRCiEEEJ0MnfeeSd79uxhxowZtfOsbG1tmTFjBnv27JHkqg3IEKEQQgjRCYWFhfHBBx+wevVqysvLsbW1bfacK9F0kmAJIYQQnZharcbOzs7SYXQ5ksoKIYQQQpiZJFhCCCGEEGYmCZYQQgghhJlJgiVEJ2EwGAiLCMNWb0tYRBgGg8HSIQkhOrni4mLs7e35y1/+0uJzvfDCCzz99NNXbPfBBx+Qnp5e+++vv/6af/zjH82+7gcffFC7HY85SYIlRCdgMBiIjo4mw5iF99TeZBiziI6OliRLCNGqPv30UyIiIoiLi6OkpKRNrvnnBOuWW27h5ZdfbpNrN4UkWEJ0AgtjF+Iy0IOQZ4bhO7E3Ic8Mw2WgB4sWL7J0aEKITuy9997j2WefZdSoUaxfvx64kADdcMMNTJ8+nYEDBzJ48ODaTZbPnj3LmDFjiIyMJCQkhMcff5z66p0PHDiQHTt21P575cqV3H777bz77rvEx8fz+OOPExYWxqZNmy7pgXr//fcJCwsjNDSUwYMHc+LECYxGIzfccAODBw8mJCSEu+66i7KyslZ9baRMgxCdQFpqGt5Te9fubq9SqXAOdSc1LtXCkQkhWktWVhZZWVlmP6+XlxdeXl5XbJeUlERGRgYTJkzAaDTy0ksvcf/99wOwa9cu9u/fj7+/P7Nnz+af//wnK1euxNnZmY0bN2Jvb09NTQ2TJ08mLi7ukiG6xx9/nLfeeovhw4cD8NZbb/HWW28xatQo1q5dy9NPP82kSZOACwndRdu3b2fx4sX88ssveHl51SZRGo2GTz75BFdXVxRF4dFHH+Xtt99u1JBkc0mCJUQnEBQcRMbBLHxu7IVKpUJRFFzDuuN0xtbSoQkhWsnKlStZsGCB2c87f/58XnjhhSu2e++997j33nvRaDTcdNNNPPzww6SkpABw9dVX4+/vD8Dw4cN54403ADCZTDz77LP8+uuvKIpCdnY2YWFhlyRYd999N/Pnzyc7O5uUlBRUKhWjRo26Ykzffvst9957b22CqNfra6+7YsUKvv32W4xGI4WFhYwePbrRr0lzSIIlRCcwL2Ye0dHRJL20C+eB7lScK8Xnxl643u/P75l7GOE7xNIhCiHM7KGHHuKWW24x+3kb03tVXV3N2rVr0el0rFu3DoCysjJWr15NSEgINjY2tW01Gk3tnojLly8nLy+PXbt2YWNjw5NPPklFRcUl57+4rc+7777Lvn37+Otf/9qie/rkk0/46aef+Pnnn3FwcOD111/n559/btE5r0QSLCE6gaioKOLi4li0eBGpX6QS3C+YJ3vO4qDrUZ77KZaZA+9gxsDbUatk2qUQnUVjh/Jaw1dffUWvXr3YuXNn7WOHDh1i7NixxMbGNnhcfn4+np6e2NjYcO7cOT7//HNuv/32ets+9thjDB8+nMrKStasWVP7uKOjI4WFhfUec/PNN3P//fcza9YsPD09a4cI8/PzcXV1xcHBgeLiYj744AN69erVnFtvNEmwhOgkoqKiiIqKqvPYbYqJj5PieG//x6TlHSFm5JPYW8mWGUKIlnnvvfe466676jw2YMAAvL29KS4ubvC4xx9/nFtvvZWwsDB8fHwYN25cg219fX0JCwsjMDCwdqgPYNasWTz11FO8/PLLLFmypM4xo0ePJiYmhuuvvx6VSoWVlRUbNmzg3nvv5auvvqJ///74+PgwatQoTp8+3cy7bxyVUt/0/Q4iISGByMhI9u7dS0REhKXDEaLd2n0mgQW/voKrbTdevDYGHwfLfOsVQlyZfLZdUFJSQnBwML/88gs9e/a0dDi1GvvzkfECIbqAod4R/GvCS9QoJh7e/A8Szh6wdEhCCNGgd955h+DgYB599NF2lVw1hSRYQnQRfo6+vHPDy/R16cXTP7zAd0e/t3RIQghRr4cffpjMzEyef/55S4fSbJJgCdGFOFjb89KYedzYeyxLd77O+wfW1VvkTwghRMvIJHchuhitWsvTQx/Fy647/97/EWdLs/nHsMfQquXPgRBCmIv8RRWiC1KpVNw9YBrd7dxZuvN1CioKWTDqWWy01pYOTQghOgUZIhSiCxvf8xqWXjuX/dlJPPX9PIor22azViGE6OwkwRKiixviFcaKsYs4VXSav219nrzyfEuHJIQQHZ4kWEII+rkF8sb1L1JcVczftz7PmriPCIsIw1ZvS1hEGAaDwdIhCiFEhyIJlhACgACnHrw+fgkFJYW8dWoNZ/Xn8Z7amwxjFtHR0ZJkCSFEE0iCJYSo5ePgxemVaah1GgIfDsN3Ym9CnhmGy0APFi1eZOnwhBDtTGVlJX379mXo0KG1Gzo3xeHDhxkxYgSBgYEMHTqU5OTkFrVrTyTBEkLUkbonmbyEs6hUKuDCikPnge6kpqRaODIhRHtjbW1NamoqmZmZHDjQ9B0iHnroIWbNmkV6ejrPPPMMDzzwQIvatSeSYAkh6ggKDuJ8/NnaAqSKolB6opDgfsEWjkwI0R5pNBo8PT1JTExs0nHZ2dkkJCRw9913AxAdHc3x48c5ceJEs9q1N1IHSwhRx7yYeURHR5P00i5ch3jiGuGJX3QQjwfcZ+nQhBD/I6tMIavM/Of10oOXXtXo9qtWrSI5OfmSBGvatGkcOXKk3mM2btxIdnY23t7eaLUXUhGVSoWfnx+nTp0iICCgtm1GRkaj2rU3kmAJIeqIiooiLi6ORYsXkbouFftjOrwe7Ms2q13cUnkLjtYOlg5RCAGsTDGxIMFk9vPOj1DzQqSmUW2PHz/O0qVLWbFiBevWravz3IYNGy57bHZ2du1UhIsa2rqrse3aE0mwhBCXiIqKIioqqvbfJwozeHzr8zzz4wKWj12IXqe3YHRCCICH+qm5xd/8M328GvnrbTKZmDFjBsuXLyc8PJzZs2ejKEptMnSlHqwePXqQmZmJ0WhEq9WiKAoZGRn4+fnVadvYdu2NJFhCiCsKcOrBy2Pm88S2GGJ+Xso/r52LTqOzdFhCdGleelWjk6HWsGzZMvr06cOUKVMA0Ol0HDt2jN69ewNX7sECCA8PZ+3atcycOZO4uDgCAgIuGfbz8PBoVLv2Ria5CyEaJci1D0uuncOB7CT+ufPNDtFFL4RoHUlJSaxevZrXXnut9rHIyMgmT3RfuXIlK1euJDAwkKVLl/Lee+/VPjdx4kTi4+Ov2K69kh4sIUSjhXcfyPPDn2DBb6/goXdlVvi9lg5JCGEBISEhpKSk1Hlsy5YtTT5PUFAQO3bsqPe5TZs2NapdeyUJlhCiSa4LGEVu+XneSliNh507UwJvtHRIQgjR7kiCJYRostv6TeZsaTavx6/Cx8GTIV7hlg5JCCHaFZmDJYRolsci7meIVzjzf3mJE4WnLB2OEEK0K5JgCSGaRaPWMO/qp/HQuzN7eyyFlUWWDkkIIdoNSbCEEM1mp9Oz9NoYyqrLWfDryxhNNZYOSQgh2gVJsIQQLeJp78GCUc+QeO4QqxI/tHQ4QgjRLkiCJYRosfDuA3k04n4+S/mSbSd+tnQ4QghhcZJgCSHMIjpoEuMDruXlnW/KpHchRJcnCZYQwixUKhVPDXsEL/vu/N+3MYQNC8dWb0tYRBgGg8HS4QkhWkFlZSV9+/Zl6NChGI3GJh9/+PBhRowYQWBgIEOHDiU5Ofmy7RcsWIBKpeLQoUPNDbnNSIIlhDAbW60NV1eEk1OehzLWFu+pvckwZhEdHS1JlhCdkLW1NampqWRmZnLgwIEmH//QQw8xa9Ys0tPTeeaZZ3jggQcabJuQkMDOnTvb/SbPF0mCJYQwqzeXvM6Z/xzHOcQd34m9CXlmGC4DPVi0eJGlQxNCtAKNRoOnp2eT9yHMzs4mISGBu+++G4Do6GiOHz/OiRMnLmlbWVnJY489xttvv41KpTJD1K1PKrkLIcwqLTUN7369a/+tUqlwHuhO6hepFoxKCNFaVq1aRXJy8iUJ1rRp0zhy5Ei9x2zcuJHs7Gy8vb3Rai+kIiqVCj8/P06dOkVAQECd9vPmzePuu++mZ8+erXELrUISLCGEWQUFB5FxMAufG3uhUqlQFIXCpFyC+wVbOjQhOpWawjxqis6b/bwaRxc0Tq6Nanv8+HGWLl3KihUrWLduXZ3nNmzYcNljs7OzL+mNUhTlknY7duxgz549LF26tFExtReSYAkhzGpezDyio6NJemkX7iN9cB/ug2OwC/Nun2fp0IToVEp+30Txlo/Nfl6HG+7C6cZ7rtjOZDIxY8YMli9fTnh4OLNnz0ZRlNqk6Uo9WD169CAzMxOj0YhWq0VRFDIyMi6ZY/XTTz+Rmppa23uVmZnJDTfcwLvvvsuNN7bfzeYlwRJCmFVUVBRxcXEsWryI1DUpOCn29Li5L31GSg+WEOZkP2IitgOuMvt5NY4ujWq3bNky+vTpw5QpUwDQ6XQcO3aM3r0vTBG4Ug8WQHh4OGvXrmXmzJnExcUREBBwyfDg7NmzmT17du2/AwIC+OabbxgwYEDjbshCJMESQphdVFQUUVFRANSYanh86/O8uONV3p34KnqdrYWjE6Jz0Di5Nnooz9ySkpJYvXo1u3fvrn0sMjKSxMTE2gSrMVauXMnMmTNZsmQJjo6OrFmzpva5iRMnsnDhQgYPHmzW2NuKJFhCiFalUWt4bsQTPPDt33ln3xqeHPqwpUMSQrRQSEgIKSkpdR7bsmVLk88TFBTEjh076n1u06ZN9T5e3yrD9kjKNAghWp2vgxcPh8/gq8PfkXiu/RcIFEKIlpIESwjRJiYH3shA9/68tOtNKo2Vlg5HCCFalSRYQog2oVapeeaqx8gpzeWDg59aOhwhhGhVkmAJIdqMn6MvMwbewWcpX3L4/DFLhyOEEK2mTROsxm7qWFlZyV//+lf69u1LSEhIbRl9IUTHd0f/Kfg5+rJizzuYFJOlwxFCiFbRpglWYzd1nD17Nmq1mvT0dJKSknj55ZfbMkwhRCvSqrX839CHScpN49uj2ywdjhBCtIo2S7Aau6ljaWkp77//PkuWLKmtBuvl5dVWYQoh2kCoRwgTel3Hyn1rKKgosnQ4Qghhdm2WYGVkZDS4qeP/Onr0KK6ursTGxjJ48GBGjRrF999/f9lzP/HEE9xyyy2X7IMkhGi/HgmfiaIorD7wiaVDEUIIs2vTQqON2dSxurqaY8eO0b9/f5YuXcr+/fsZN24cycnJuLu713veV199lYiIiFaJWQjROpxtnJg56A7eTnifyX0n0LtbgKVDEkIIs2mzHqz/3dQRaHBTR39/f9RqNXfddRcAoaGh9OzZk6SkpLYKVQjRRqYGTsTXwYs39r5b7xcuIUT7VllZSd++fRk6dGjt53tTNHbx25YtW4iMjCQ8PJwBAwbU2VKnvWqzBMvDw6N2U0egwU0d3dzcGDt2bG3J/ZMnT3L8+HGCgoLaKlQhRBvRqrU8FvEA+84d5NfMXZYORwjRRNbW1qSmppKZmcmBAweafHxjFr8pisKdd97J+++/z759+/jmm2946KGHKC4uNscttJo2XUW4cuVKVq5cSWBgIEuXLuW9996rfW7ixInEx8cD8M477/DSSy8xcOBAJk+ezKpVq2SiuxCd1FU+kUR6hrIq8SOMphpLhyOEaCKNRoOnpyeJiYlNOq6xi98uKigoAKCoqAhXV1esra1bEHXra9M5WI3d1LFXr15s3769jaISQljaw+EzePC7J9l0dBu39L3B0uEI0SHklZ8nrzzf7Od1te2Gq61Lo9uvWrWK5OTkSxKsadOmceTIkXqP2bhxI9nZ2Q0ufvvf0S2VSsX69euJiorCzs6O/Px8DAYDVlZWTb63ttSmCZYQQtQn0KU34wOu4V+732feXbNJO5RKUHAQ82LmERUVZenwhGiXvj68pVW2nZo58A7uGzS9UW2PHz/O0qVLWbFixSUr+Tds2HDZY7Ozsxu1+M1oNPLiiy/y1VdfMXLkSPbs2cOUKVM4ePAgLi6NTwTbmiRYQoh2wTfLjRJjKeWh4N23NxkHs4iOjiYuLk6SLCHqcUvfGxjpO9Ts53W17daodiaTiRkzZrB8+XLCw8OZPXs2iqLUJk1X6sH638VvWq22wcVviYmJnDlzhpEjRwIwZMgQvL292b9/P2PGjGnBnbYuSbCEEO3Cq0uWYxxjTfdreqBSqfC5sRdJL+1i0eJFkmAJUQ9XW5cmDeWZ27Jly+jTpw9TpkwBQKfTcezYMXr37g1cuQcLqF38NnPmzAYXv11MxNLS0ggKCuLIkSMcPXqUwMBAc9+SWUmCJYRoF9JS0/ANC6z99qtSqXAe6E7qF6kWjkwI8WdJSUmsXr2a3bt31z4WGRlJYmJibYLVGCtXrmTmzJksWbIER0fHOuUXJk6cyMKFCxk8eDArV65k2rRpqNVqFEXh7bffxsfHx6z3ZG6SYAkh2oWg4CAy4rPwus4flUqFoigUHMwhuF+wpUMTQvxJSEgIKSkpdR67WF6pKRq7+G369OlMn964eWHtRZuWaRBCiIbMi5nH+YPZpL2VgFJjIvuXDM4fzGZezDxLhyaEEE0mCZYQol2IiooiLi4O7yp3sn/OxH2ID5/FfcbUqVMtHZoQQjSZJFhCiHYjKiqKfXv3sf3VLej0VtCvfRcSFEKIhkiCJYRodzztPRjf8xo+S/mS6ppqS4cjhBBNJgmWEKJduqPfVHLLz/Pjqd8sHYoQQjSZJFhCiHapp7MfQ70i+Czly3qrOwshRHsmCZYQot26vd9kjuQfZ9+5g5YORQghmkQSLCFEuxXpGUovZ382pG20dCiiizEYDESGh2GntyUyPAyDwWDpkEQHIwmWEKLdUqlUTA28iR2n4zlbkm3pcEQXYTAYiI6Oxj7/DE8N9sc+/wzR0dGSZIkmkQRLCNGuje95DXqtLV8f3mzpUEQXsXjRQkb7u7N2cjizIgJYOzmcUf5uLIldZOnQ2p3Kykr69u3L0KFDMRqNTT7+8ccfJyAgAJVKxaFDh+ptU1FRwZQpUwgMDCQsLIwJEyZw4sSJFkbe+iTBEkK0a7ZaG27sfR3fHN1KZU2VpcMRXUBqWho39/Wosy/mtX6upKTKvph/Zm1tTWpqKpmZmRw4cKDJx0+bNo1ff/0Vf3//y7abNWsWaWlpJCYmMmnSJGbNmtXckNuMJFhCiHZvct8bKaws4teMnZYORXQBwUFBqFDVrl5VFIXtp/LoFyz7YtZHo9Hg6elJYmJik48dPXo0vr6+l21jY2PDxIkTaxPeq666imPHjjUn1DYlmz0LIdq9Ho4+DHLvz7dHtzI2YLSlwxGd3Jy587Dd8Aq7zuRz4FwR20/l8cvJXAwrVlk6tDqqiqqpKmr6sNyVWDlqsXLUNbr9qlWrSE5OviTBmjZtGkeOHKn3mI0bN9KjR49mxff6669z8803N+vYtiQJlhCiQ7ipz3he3PEaZ4rP4u3gaelwRCd2y+irOPuzIy8lF/Be/En6BQdjWLGq3e2LmfX7eTL+Y/7FHz2u98B/QvdGtT1+/DhLly5lxYoVrFu3rs5zGzZsMHtsS5Ys4fDhw7zzzjtmP7e5SYIlhOgQrvUbyevx/+a7Y9/zQOhdlg5HdGJlCT+hsrLh1W+287qVjaXDaZDXCBdcBzia/bxWjo1LDUwmEzNmzGD58uWEh4cze/ZsFEWpHcozdw/WK6+8gsFgYNu2bej1+iYdawmSYIk2ZTAYiF0US1paGkFBQcTMjSEqKsrSYYkOwEZrzRj/q/nP8e3cN2g6apVMIRWto2zfT9gMHI66HSdXAFaOuiYN5ZnbsmXL6NOnD1OmTAFAp9Nx7NgxevfuDZi3B2v58uWsW7eObdu24ezsbLbztib5CyVqGQwGIsIjsNPbEREeYfaaLxdry+gKbLlvyKPoCmyltoxokusDruVsaTYHc1IsHYropKqzTmDMOoE+/BpLh9KuJSUlsXr1al577bXaxyIjI5s80f2xxx7D19eXzMxMxo0bR58+fWqfmzhxIvHx8WRmZvLUU09RUFDAmDFjCAsLY9iwYea6lVYjPVgC+CP5GRowgvuGPMqeU78z486ZaFdZcXXkaCoLqqksrKa6xIixtIbq0hqMZUZqqkyYqhVM1SZMVSb+vGOcWqNCbaVGo1OjnLFn7Yyv8Ot2oebJ7RH38G3SF2xe9T1jw27A2lmHtZMOlUZlkddAtH8DPfrhaefB1uM/EeoRYulwRCdUlrAdla09NsGRlg6lXQsJCSElpe4XnS1btjT5PG+99RZvvfVWvc9t2rSp9r874n6kkmAJqoqNbHjrS54ZP59JIVG1yY9KpYJESE48iUoNVk46dPZatHoN1s5a7Lxt0Fir/5tAqVDr1PCn3EgxKtRUmzBVKXz88geE+w6tU1vm+uBJWGmtOPjmhSW3Ko0KGzcrbN2t0XtYo/e0xs7XFr27tSReArVKTY/K7nx9aBPzxj1NYN9A5sXMk2FmYRaKyURZ/A/ow0ah0lpu6E10DpJgdTE1VSZKTpVRdKKM4pNllGSWU1Vo5NHQf1BdU10n+fnt2M+sT1zD7/t/w8pBi0rdsgTn5+f/w47jv/DKlH+hUl2oMTP767+hdVexdeP3VOVXU55XRXl2JeXZleTsK6AyvxoAtVaF3tsGhx62OPa0w6GnHptuVi1+PUTHYjAY+NfTrzN46Rh6PjCAjB9OEh0dTVxcnCRZosWqjidTk5+NfvBYS4ciOgFJsDo5k9FE8Yky8tNLKDxcQklmBUqNgsZGjYO/Ho/B3bD3seXOR26n6GwJL095uzb5iUv8GFxqsHYyzze5mLkxREdH89QXDzPUfyS7T/7GnpM7MKwwYOdpg52nDd3+dIyxvIbS0+WUnK6g5HQ5BYdLyfrtPADWzjoce9nhHGRPtyD72smeMpG+81oYuxCbbrYoioLbEC9cB3uS9NIuFi1eJD9j0WJl8d+jcemOVc/+lg5FdAKSYHVCVUXVnE8qJi+piMIjpZiqTOjsNTj1tcdjcDcce+rRe9rU6ZF6+B+zGkx+zCUqKoq4uDgWxy7m/T1vExwcjGGF4bK1ZbS2Gpz62OPUx772seoSI0Unyig6VkrhkVJyEgoA0HvZkKM+w7xlC7C3dqidSyY9HJ1HWmoa3lN71+lpdR7oTuoXsoWJaBmluoqyxF+wv3oSKrWs/xItJwlWJ1GRX0VuYiF5B4soPlkGKnDsaYffeA+cg+yx87a57BBfc5Kf5oiKimpxoqOz1+I6wLG2/kt1iZGCwyXkp5Zw7jct79yxtrYWy+0R9/D0F4+wOHaxJFidQFBwEBkHs/C5sVdtT2vBwRyC+8kWJqJlyg/uQCkvQT90vKVDEZ2EJFgdRH3DXrdMmEzu/kKy9xZQdKwUtVaFc7ADfW/3xSXEAZ1d03685kh+LEFnr8U93Bn3cGci/9KPp66Zx7jgCcCFHo7YScvZlPIVJRnl2Pna1PZ+iI5nXsw8oqOjSXppF8F/i6QwNY/zB7N519D+qzqL9q1091asevZH5+5j6VBEJyEJVgfw5xIKeaXZJP47HfffDqFCjXOgPX2n++I60BGtjcbS4VpU38C+fJfyJWODbqjt4dhzagfX95tI4ooj6D2t8Rzugsfgbmhtu/Zr1RFd7GldtHgRub+fwWOYD3Fxce1uCxPRsdQU5FKZloDzbX+zdCiiE5EEqwOIXRTLqD7XsXjSitrel+zic3x95HMWfzTfopV825sGJ9LHGRjWL5RzO89z7KssTnxzFrcwZ7xHuWLva2vpsEUTXOxpTTh7gP/7fi4Drg2zdEiigyvdsw2VVoc+TDYSF+YjM/nauYrzVVzjcgMLJr5UZ2jrh/QtvL11hSRXf3Kxh6PGpZL397xNjUslBoOBqVFTcennQL/7/Bk6L5ge4z0oPFJC4vIjHHzrGHlJRSimjlfIrisb5NEfe50dv5/ebelQRAemmEyU7tqCbdgo1LZ2lg6nw6msrKRv374MHToUo9HY5OMff/xxAgIuFJ8+dOjQZa/z17/+lb59+xISEsLdd9/dkrDbhPRgtVNlZyvI2JZNTmIhE/rfwk9Hvmds4ITaYa/dJ38jOFgm9tbnSnPJrBx19Bjnge8Yd/IOFXH6p1xS3juJrbsVvmM9cI90Ri1FTds9rVpLhOcg9pzZx8yBd1g6HNFBVR49SE1uFnbTn7R0KB2StbU1qamp9OjRgwMHDhAREdGk46dNm8YzzzzD1Vdffdl2s2fPRq1Wk56ejkqlIisrqyVhtwlJsNqZ0jPlZGzNIfdAIdZOOnpN9mLn2V9Y8OazbEr6stVKKHRFKo0Kt1An3EKdKDpRRuYPORz+NJNT/zlHj3EeeAx2Rq2VTt72bIhXOK/ueYfiqhIcrOyvfIAQf1K2czNadx+seg2wdCgdlkajwdPTk8TExCYnWKNHX3lYtrS0lPfff5/MzMzakRwvL69mxdqWJMFqJ8pzKzn53Tly9xVi7aKjz60+tR/wUUxtkxIKXZljgJ7+9/tTcrqcjG3ZHPn8NBnbsvG/0RP3cKcWV7EXrWOoVzg1iol9Zw8y2m+4pcMRHUxNaRFl+3/F6cZ7O+Tq4vKSc1SUnjP7eW3sumNr373R7VetWkVycvIlGz1PmzaNI0eO1HvMxo0b6dGjR6POf/ToUVxdXYmNjWXbtm3Y2trywgsvMHZs+664LwmWhVUVG8nYms3ZHefR2Wnoc5sPHkO6XTJE1VFLKHQ09j629JvhT+nZCk5uOkf6xxmc3p5DwCRPugU5SJX4dsbT3oMeDt7sydonCZZosrLdW0FROmztq+MHPyJl5zKzn7ffVU/Rf/jTjYvh+HGWLl3KihUrWLduXZ3nNmzYYJZ4qqurOXbsGP3792fp0qXs37+fcePGkZycjLu7u1mu0RokwbIQU41C1i+5nPpPNgB+EzzwHuWGxkqGpNoDO08b+t/vT+GxUk58c5aklSeo7FbK35f/H97OvlIlvh0J9xxE4rmGJ8cK8WcGg4HFixayItSRzCoVNlt/6JC/wz0H3oNXr+vNfl4bu8b1XplMJmbMmMHy5csJDw9n9uzZtUWewXw9WP7+/qjVau666y4AQkND6dmzJ0lJSVx77bWNOoclSIJlAQXpJRz94gzl2ZV4jXDBb0L3JhcFFW3DqZcdg/7Wi7wDRfz2zl4+uvcLNGptbZX4p754WKrEW1iYRwhfH95MXnk+rrZ/3s1SiLou1hV8KLInvZw9+eTXdFZ20C9KtvZNG8ozt2XLltGnTx+mTJkCgE6n49ixY/Tu3RswXw+Wm5sbY8eOZcuWLUycOJGTJ09y/PhxgoKCzHL+1iLdJW2oqthI2kenOPTOcXR2GsKe7EPvaB9Jrto5lerCZPj7Pp5G6rnkOvvgDfUfSWqq7INnSWHdL0xO3i+9WKIRFi9ayGh/d+aM7AvAnJF9GeXvxpLYRRaOrGNJSkpi9erVvPbaa7WPRUZGXjIP60oee+wxfH19yczMZNy4cfTp06f2uYkTJxIfHw/AO++8w0svvcTAgQOZPHkyq1atavcT3eWTvQ0oikLO3gKOfZkFKgi80xf3SOcOOamyKwvoHcD7u/7FK1P+VfuzC/QIZvDAIRaOrGtztXWhh4M3idlJXBcwytLhiHYuNS2NucN71fmidK2fK8vi5YtSU4SEhJCSklLnsS1btjT5PG+99RZvvfVWvc9t2rSp9r979erF9u3bm3x+S5IeLDMzGAxEhEdgp7cjIjyCL9d9RfK/T5D+SSbdgh2IfDYQj8HdJLnqgGLmxrD7xO889cXDfLr3Q9bueY9ebn1ZdM2r5OwrsHR4XVqIezBJufIBKa4sOCgIvU6LolwoLKwoCttP5dFP6goKM5MEy4wuju3rCmy5b8ijROpHYvWLK7nHCuj/F3+C7u6Bzl46DTuqP1eJ31P6C8Zr8/EY4ELaRxmkrT2FsbzG0mF2SSFuwRwrOElZdbmlQxHtXMycOYzs4cK24zmsSjjBXV8l8MvJXObMnWfp0EQnI5/2ZhS7KJahASPqDCElZsbzWfz7/LL0ZwtHJ8yhvnIZiqLg0t+Bo4YzFB47TOCdvjj3kaKXbSnELQiTYiI17zARnoMsHY5ox64PcCHfzpqvzqvZmnCSfsHBGFaskrqCwuykB8uM0tLSGOI3os7wX+q5ZBIO7bVgVKK1qVQqPAZ3I/wffbFxteLQv45zamu27G3YhgKceqDX2pKSl27pUEQ7pigKJT99iXVQBF/+Gk9pWTnxCfskuRKtQhIsMwoKCmLPqd/rjO3LnoFdh003KwY+0pMe4z04tfkcSf8+QXVJ0zc/FU2nUWvo69KL9PPHLB2KaMeqTqRQnXEY+2umWDoU0QXIEKEZxcyNITo6mqe+eFj2DOyiVGoV/hO649hTT/rHGexbdph+9/vj0ENv6dA6vUCX3vyeudvSYYh2rGS7Aa27DzbBgy0diugCpAfLjP48CbrGpRKDQfYM7Iq6BTkQ9mRfrJx0HHzjGNl7CywdUqcX6NKb0yVnKa4qsXQooh0y5p2l/MDv2F8zFZVaPvpE65MeLDOTPQPFRdbOOgY91osjn58m/eMMyrIq8J/YXTaObiV9u/UC4Ej+ccK7D7RwNKK9KfnpC9R6e/RDx1k6FNFFSBovRCtS69T0ne5LwC2eZP6YQ9pHGZiqTZYOq1OK/343So3ClPuiCYsIw2CQoXlxgamshNKdW7AbeRNqKxtLhyO6CEmwhGhlKpUK32vd6TfTj/NJRRx65zjVpTL53ZwMBgO3TbuVyrwy3K72JsOYRXR0tCRZAoCS375BMdVgf/XNlg6l06msrKRv374MHToUo7Hpf9cef/xxAgICUKlUHDrU8HZXW7ZsITIykvDwcAYMGMCaNWtaEnabkARLiDbiOtCJAY/2pCy7kgNvHKMyv8rSIXUaC2MX4jLQA2t3Pfb+ToQ8MwyXgR4sWiz7y3V1SnUVJT9/hd2QcWgcXSwdTqdjbW1NamoqmZmZHDhwoMnHT5s2jV9//RV/f/8G2yiKwp133sn777/Pvn37+Oabb3jooYcoLi5uSeitThIsIdqQY4AdoX/rjanaxIE3j/HVxxvrbK0kPS7Nk5aahvNA9zr7yzkPdCc1RbbP6epKd2/FVFKA/XXTLB1Kp6XRaPD09GzyRs8Ao0ePxtfXt1FtCwoKACgqKsLV1RVra+smX68tySR3IdqYrYc1g/7aix2vHET5SY9vTS9GDBnLnlO/Ex0dTVxcnCyUaKKg4CAyDmbhc+OFTXwVRaHgYA7B/aQGXVemmGoo+TEO20Ej0bn7WDocs8sqryCrosLs5/WyscHLtvFz1VatWkVycvIlCda0adM4cuRIvcds3LiRHj16NOr8KpWK9evXExUVhZ2dHfn5+RgMBqysrBodoyVIgiWEBVh3s2L+1qd4bOCz/GPsPFQqFbdH3MNTXzzM4tjFkmA10byYeURHR3N0zUH6zBzEsY8Ocf5gNu8a3rF0aMKCyhN/wZh7Bpd7Z1s6lFax8thxFiSbv5d2fv9gXgjp16i2x48fZ+nSpaxYsYJ169bVeW7Dhg1micdoNPLiiy/y1VdfMXLkSPbs2cOUKVM4ePAgLi7td9hXEiwhLCT+0B522v9KVNgdwIVvaUP9R/L+nrctHFnHc7EG3aKXYgHwcvPiDcMyqUHXhSkmE8VbP8U6KAIrv0BLh9MqHurVk1u8vcx+Xi+bxvVemUwmZsyYwfLlywkPD2f27NkoilI7VG+uHqzExETOnDnDyJEjARgyZAje3t7s37+fMWPGNOocliAJlhAWEhQUxG/HtzM19PbaYa1juYdla6VmuliDbkrcvdz37HSmDpLkqiurSN5FddYJ3Kc9ZulQWo2XbdOG8sxt2bJl9OnThylTpgCg0+k4duwYvXv3BszXg9WjRw8yMzNJS0sjKCiII0eOcPToUQID23fiLAmWEBbyv1srjeo9lhE9R/HA8EfRjqu0dGgdmqedB2dLsy0dhrAgRVEo+s+nWPUKwbq3FJ1tDUlJSaxevZrdu//YnioyMpLExMTaBKsxHnvsMb766ivOnj3LuHHjsLe3r+31mjhxIgsXLmTw4MGsXLmSadOmoVarURSFt99+Gx+f9j2vThIsISzk4rDW4tjFvLNjOftKf2f+mJdxOGmPsawGrV5j6RA7pO52HmSX5Vg6DGFBlal7qT6VhtvDiy0dSqcVEhJCSkpKnce2bNnS5PO89dZbvPXWW/U+t2nTptr/nj59OtOnT2/y+S1JyjQIYUFRUVHsTdhLaVkpP+z8niH/F0JViZHk905QUyUV35uju50750pzLR2GsBBFUSjavBYr/2CsgyIsHY7owiTBEqId0XtY0/+BAEoyy0n/OAPFpFg6pA7HQ+9GdmkOiiKvXVdiMBiIDA/jhkAfqk6mctChZ+1kayEsQRIsIdoZxwA9Qff6kXeoiJObz1k6nA7H1daFKlM1JdWllg5FtBGDwUB0dDT2+Wd48ZpAjpwvZdyDT0jhXmFRkmAJ0Q65hjgSMMmTzG05ZMfnWzqcDsXF1hmA8+UFFo1DtJ3FixYy2t+dtZPD6W5vQ+9uekb5u7EkVrZKEpYjCZYQ7ZTPtW54DO3G4c9OU3SizNLhdBguNs4A5FcUWDQO0XZS09K4xs+lzlZJ1/q5kpIqWyUJy5EES4h2SqVS0WeaN/Y9bEn98BTVJU3fqb4rcrHtBsD5cun56yqCg4Ioqa6p/beiKGw/lUc/qSknLEgSLCHaMbVWTfC9fihGE2lrZdJ7Y+i1tmhUaoqqSiwdimgjc2JiuKlPdw7lFLEq4QR3fZXALydzmTN3nqVDE12YJFhCtHPWzjqC7vaj4HAJp7ZIAc0rUalU2FvZUywJVpdxQw9nglztWZNZzbL4k5S5+GIwGGSrJGFRkmAJ0QE4B9rjP6E7GduyKTwiicOVOFjZUyIJVpegGKsp2vwRNoNGsO6nPZSWlROfsE+SqzZSWVlJ3759GTp0KEZj06YxVFRUMGXKFAIDAwkLC2PChAmcOHGi3raHDx9mxIgRBAYGMnToUJKTk80QfeuSBEuIDsJ3rDuOvexI+yQTY1nNlQ/owhys7GSIsIso/X0TNfk5OE2cYelQuiRra2tSU1PJzMzkwIEDTT5+1qxZpKWlkZiYyKRJk5g1a1a97R566CFmzZpFeno6zzzzDA888EBLQ291kmAJ0UGo1CqC7vSlprKGI5+flkKal6HX2VJeXW7pMEQrM1WUUrTlE/RDxqHz9Ld0OF2WRqPB09OTxMTEJh1nY2PDxIkTa1d/XnXVVRw7duySdtnZ2SQkJHD33XcDEB0dzfHjxxvs7WovZC9CIToQ625W9LnVh7QPM3BJcMAjspulQ2qXbLQ2VNRUWToM0cqKf9iAqaocx4n3WDoUizAVlGIqMH9BXbWzHWpnu0a3X7VqFcnJyZckWNOmTavduPnPNm7cSI8ePeo89vrrr3PzzTdf0jYjIwNvb2+02gspi0qlws/Pj1OnThEQENDoONuaJFhCdDDuYc7kHSzi2BdZOAfaY+Wgs3RI7Y61xlrqYHVyNYV5lPxowGH0FLTO7pYOxyIqfjxExZd7zH5emylD0E8d1qi2x48fZ+nSpaxYsYJ169bVeW7Dhg2NvuaSJUs4fPgw77zzTr3P/3nbo47Qgy8JlhAdUO+p3uz9Zzo/v76HZzb8lbS0NIKCgoiZG0NUVJSlw7M4W601WcYKS4chWlHhpjWodFY4jL3N0qFYjM2YAViF9zT7eRvbe2UymZgxYwbLly8nPDyc2bNnoyhKbTLU2B6sV155BYPBwLZt29Dr9Ze07dGjB5mZmRiNRrRaLYqikJGRgZ+fXzPvsG1IgiVEB6Sz15Lnm4lTmhcR+uGMGDKWPad+Jzo6mri4uC6fZOnUOqpNUpi1s6o6fYyy3Vtxnvowar29pcOxmKYO5ZnbsmXL6NOnD1OmTAFAp9Nx7NgxevfuDTSuB2v58uWsW7eObdu24ezsXG8bDw8PwsPDWbt2LTNnziQuLo6AgIB2PTwIbTjJvalLLBcsWIBKpeLQoUNtFKFoKYPBQER4KHq9LRHhobLRaiub+85sDmXtZ8bQh7gj8l5emfIvhvgPZ3HsYkuHZlEGg4HPPvuMAwcPEBYRJu/DTkZRFAq/XIXWzRu7kTdZOpwuKykpidWrV/Paa6/VPhYZGdmkie6ZmZk89dRTFBQUMGbMGMLCwhg27I+hyYkTJxIfHw/AypUrWblyJYGBgSxdupT33nvPbPfSWtqsB+viEsuZM2eyYcMGHnjgAXbs2FFv24SEBHbu3Nnuu//EHy7uZh8WbMNt43XsT0+X3pRWlpaWxnG3IwzwCgUuzFEY6j+S9/e8beHILOfi+7D/44NxcnbjmDFL3oedTEXSLioPJ+L6l/moNDIIYykhISGkpKTUeWzLli1NOoevr+9l51Jt2rSp9r+DgoIazBnaqzbpwWrKEsvKykoee+wx3n777UsmtYn2x1RTTWX5eV57ZR5jhuiZ86ATN19rx5wHnRgzVM+br86nvOQcNTIfxuyCgoLYfmRr7R8oRVHYffI3grvw/msLYxfiMtAD1yFe6OytCHlmGC4DPVi0eJGlQxNmoBirKfzq31j3DcMm5CpLhyPEZTUr/U9JSeHzzz9n3rzG7fPUlCWW8+bN4+6776Znz8ZP3HviiSdwdnZm+vTpTJ8+vdHHictTFIWK0rMU5x+jtOAEpYUnKS08RXlJFpXleVSW5VFdWQDA47cCONYeq1KpeOwORyCXTf8OA0CjtcHKphtWti7Y2nujd/RF7+iLnaMfjq59sXfuhVojK+IaK2ZuDNHR0Tzz1V+ZO+FFsgoz2XNyB4YVXXdILC01De+pvWu/nKlUKpwHupP6RaqFIxPmUPLL1xhzs3C9f658ARftXrMSrOTkZBYsWNDoBAsat8Ryx44d7Nmzh6VLlzYpnldffZWIiIgmHdPVGAwGYhctIDUtneCgQGLmzr9kyKS8JIvc07vJP7efwpwkCnIOUVV+/r/PqtA7eGPnHICdkx8uXhFY27pibeuKztqRJ554iury09w9yQ6VSoWiKHy4sQSdbQ/efPN1qioKqKoooLqigMryPMqKT5ObuYOy4kyM/624rdZY4dCtD45uwbh4RuDqPRgnt/51kq7G3EdXERUVRVxcHItjF7N8+yJemPAyG9/dzKSpN1g6NIsJCg4i42AWPjf2qn0fFhzMIbhf1+3V6yxqigso2vIxdiNvQucVYOlwhLiiNhnAbuwSy59++onU1NTa3qvMzExuuOEG3n33XW688ca2CLVTamh+1Ib1HzC4vy05mb+Re3oXpYUnAdA7+uLsPoDeoffj7BGCg0tf7Bx7oNZYNXiN6Q9UEh0dzYkzRsKCdCSmVbM/rQKDYQlevcY3eJyiKFRVnKcoL42i3DQK81IpzEni9OFvMNVUodHa4uIZjof/aJKOKtx61/8RGiTzvC6KiooiKioKRVE4+NYx9Hk9UUwKKnXX/HY/L2Ye0dHR5O3Jwqm/G2lvJXD+YDbvGuqvrSM6jsJvVoNajeONXbOoqOh42iTBauwSy9mzZzN79uzafwcEBPDNN98wYMCAtgiz04pdtICwYBvmPOiESqVi0jUKZ7LtUTJmE5+pwsk9BM+e43DzuQo3n6HY2Hk0+Rp/9KYsZP3WNPoFB2EwzL/ihqsqlQprW1fcfUfg7jui9vEaYyUF2QfJy4on9/RO0va8CVUlfBDrgd5GVXsfsatgcezCLptgXaRSqeh5sxf7XzvKuT35eA5zsXRIFnHxffjSr29QXVSFn86bdw3vyMa/HVzliVTKdv0H52l/RWPneOUDhGgH2mwJxsqVK5k5cyZLlizB0dGRNWvW1D43ceJEFi5cyODBg9sqnC4lL/sIs6L0dealqFTw77gyvvrPEWzszFMF+WJvijlotNa4eg/G1XswgZEPY6qpJnJgN26/3pq+/hd60lQqFfdNsWf9f45iqqnu8vO3HPz1uIU6kfGfbDwinVFru+ZWo1FRUZz0zeZQbirv7X3V0uGIFlJMNRTEvYXOtzd2I2QkQ3QcdRKs8+fPN9SujuLi4iZf6HJLLP93Keb/au8bObZnNcZKTh/5luMHPmT5045UVSu1FXYVReG9L0rQ6IPMlly1NrVGh8q6N59tSWfOg7ra+7DSqXjyHnu+e3cw/iG3ETDgLuydAywdrsX43eBBwsuHObc7H68RrpYOx2KqTNVYXWZIW7R/BoOBxYsWMkhVxKLRgSSHTeZ6tcbSYQnRaHUSLDc3t0atzPjfUviifSkrPs3RxPc5kbSOqvLzuPcYCW73cd9flhLc0/pP86PmWzrcJomZO5/o6GhiV1HnPuLWvYa3x1mOHfiQtD1v4uE3mr6RD9Hdf0yXe5/qPW1wC3Mic1sO3Yd267K9WJXGKqwlweqwLs4bvamvF3OuD+Gnk3nc/dqjxDl27/LTAUTHUSfBWr16dZf7QOosivLSSY9/m1OpcWh1evz730bPQffi6NIXAJXd4CbPj2pvrjTPa+CoGE4f/oYj+97jty/uwtE1mL6RD+MXPPWyE/Q7G7/rPUh4qWv3YlXWVEqC1YEtXrSQ0f7u/OvGgahUKkb7uTDK340lsYskwRIdRp0E684778TKSv4odSSFuSkk//4SZ45uxtbeiwFXz6HnwLvRWdXdn8uc86Ms6XL3cTGx9Ot3K7mnd5Ae/w57//MEKTteJviqJ/Hvfxtqdeev/KzvboPrIEdO/5iL51UuXXJFYYWxEjurSzeNFR1DaloaL18TWGfe6LV+riyL71r1zP5cKV20D439udT5tHFxcWH8+PHcfPPNTJw4EU9Pz1YJTrRcaeEpkne8zKmUOOyc/Ii8fgV+wVFdqqemISqVqnZVYlFeGsk7lpGw9SnS9rxJ/+FP0yNoCipV5x46873Wnf2vHSXvYBFuoU6WDqfNlVSX0r2DzC8UlxoQHESEl1OdeaPbT+XRr4vsUuDm5oZer6/d/US0P3q9Hjc3t8u2qZNgxcXF8e2337J48WJmzZpFREQEkyZN4uabbyY8PLxVgxWNU11ZRPLOZRxNfB9rm26EXfciPQdMl8SqAY6uQVw1aRUF2YdI3vEye757jCMJ/yZ0TCyuXpGWDq/VOPjrcexlx+kfc3Ad5Njlhv5Lq0pxsLKzdBiimV67ZxLdj+1m9o8p9HbWs/1UHr+czMWwYpWlQ2sTfn5+pKSkkJuba+lQRAPc3NyuuF9ynQTrhhtu4IYbbuD1118nKSmJb775hm+++YZFixbRvXt3brrpJm655RbGjh2LjY1NqwYv6lIUhYzUOA78vBBjdSn9r3qSPhGz0OpkGKQxnD0GMGLyGnJP72L/9hi2fzoJv37TGHD1HGztO2dPre8YN5LfO0nxyTIcA7pWslFSXYqdrmvdc2dRnZ2J7+n9nAkIJ+23HL6MT6VfcDCGFas63LzRlvDz87viB7ho3xocJwkJCeHZZ5/ll19+4dy5c7z44osUFhZy99134+rqyqRJk1i5cmVbxtolGAwGIsJD0ettiQgPxWAwUHz+CD9/PpU9m/+Gu+9wrp/xC8HDnpDkqhncfIZx3fTNRIx7mbMnfuA/a0Zz/OBaFEWp97XvyLr1c8DaRUfW740rv9JZKIpCsfRgdUiKolDw+RtonFwZ/LcFxCfso7SsnPiEfV0quRKdQ4MJ1ptvvklhYSFwYW7WPffcw6effkpubi4bN24kMDCQFStWtFmgXcHFpclKRTq3jddBZTofvH4P//nwOipKcxgVvZ5hN61E7+Bt6VA7NJVaQ8+Bd3PDzN/w7TuJhG3/wPCva3l01m21r71ScWEbno6cZKnUKrxGuJKbWEh1qdHS4bSZkupSjCYjzjbOlg5FNFHZzs1UHt5Pt9seR20loySiY1Mp9e26DNjZ2aEoClOmTOEvf/kL1113XVvHdkUJCQlERkayd+/eTrHZc0R4KEpFeu2WNhd/NLtT7Fjy9kHpsWol507+xDdr7kRvU4NOS+1rH7uqEI0+iL0JiZYOsdmqS4zsXpCK/8Tu+I7pGpO+M4pOc/fGR3lt3GLCuss2Wx1FTUEuZ5fOwnbQ1bjc+aSlwxGixRrswcrKymL58uUcPXqUcePG0atXL2JjY8nMzGzL+LqU1LR0QgN1dZYm/55YwZsfn2nXyZXBYCA0IgJbvZ7QiIgO1+vT3f8anl5+nqwcY53XPixIR0pqmoWjaxmdvRa3UEfO7cqnge9SnU5+xYWed2ebrrd6sqNSFIX8DW+hsrLGecqDlg5HCLNoMMFydHTk4YcfZteuXRw4cIDJkyfzxhtv0LNnTyZOnEhcXBzV1dVtGWunN6B/X3y6/7HuQFEUfthdSb/gIAtGdXkXhzUPmhQqbr2dgyalQw6t9ewZyEfflNYmIYqikJNvatevfWN5DOlGeXYlJafKLR1KmzhfkQ9AN0mwOozyhO1UHNpBt+jHUOsdLB2OEGbRqKqLAwYMYMWKFfzjH//gzjvvZPPmzWzevBk3NzceeeQRZs+eja2tbWvH2qmVFmXw7EwrKsus2Li9DFA6xJY28//5Txh9Dcpjj4NKhXLTzfDRBzz7wRr8rh2DtUaNjVpDNysdLlZWqNtpuYD/3YZn+CArgnpacc/N9lh1H2fp0FrMua89Vk5asuPzcfBvvz2h5pJTloe1xgpHK/mg7ghqivMpiHsb2/BrsA292tLhCGE2V0ywFEVh8+bNvPfee3zzzTc4Ozvzj3/8g6lTp7Jp0ybeeOMNDh06RFxcXFvE2ynlnt7Nzo33o7e1A7c5HPz0PVJS28eWNuU1NRwsLORwcSmHS0o4UlLK0ZISzlVWcq6ikrKnZ9c9QKWCe+/jCDDk++11nlID7tbWeNhY08PWlr4O9vSxt6OvvT0hjo742No0WK/JYDCwIDaW9NRUAoODmR8TY9bK9P+7Dc+ab9II6R/A7IcCUfI+Zt8PVoReswC1Rme267UllVpFvkM2+dsLiJwRQq++vYiZa97Xrz3JLs3FXd+4fVWFZSmKQv7nb4BajXP0I5YORwizanCS+9GjR1m9ejUffvghZ86cYfz48Tz44INMnjwZrfaPvOzrr7/mjjvuoKysrM2CvqgzTHI/kfQZCdv+gatXJFfd/C7WtpbbO05RFNKKS9iek0t8fj7x5ws4VFREzX/fIt2trenrYE9vOzu8bW3wsLZm+cKFZJSWwvS7LiRXigL/epMgnZZP16+nssZEeU0NBdXVZFdWkl1RybnKSk6UlnG4pIRjJaVU//f8njbWDO7WjcHdnBnu6sLVbq7otdraYUhVaBhKaBiq/Yko+xOJi4tr9STh2IEPSfwxBjefoQy/eTU6a8dWvV5rMBgMPD3rWT6818BPh7/n60Ofs/vE723y+lnC/F9eoqiymBXjFlk6FHEFZXt/5PxH/8Rl5hz0YaMsHY4QZtVggqVWq/Hx8eG+++7jgQcewN/fv94TpKen89BDD/Hjjz+2aqD16cgJlqIopO5aQfKOlwkYcCfh173YKtXYr9Tzk1dZybdZ59iWnc3353I4U1GBVqVioJMjkd2cGdytGxHdnAlysMdRd2kPTm3yMygUJSwcVeI+lAP7MRgMjep5M5pMnCor50BhIfH5BezNLyD+fD65VVVYqdUMd3UhNW4D544chvv+UpvEqRYvZJBWQ+LevWZ9veqTk7mDHV/fh97Bh5FTP+5whUkjwiPQFdjyypR/1a6QfOqLh6lxqWRvQuu/fm3tkS3P4Ofow3PD/27pUMRl1BTmcfafD2ETFInrjOcsHY4QZtdggrVx40Zuuukm1Or2u2dbR02wFMXE/u3zOJr4Hv1HPEPw0CdaZTijoZ6f9zbEURUWTlzmaX7MycWkKIQ5OzHWw52x3T0Y5eaKnbbxmyIbDAYWLl5MWkoqQf0uJHEtGdZUFIWU4mK+P5fD99k5fHXkKOj/NHfom6+x+Xw95WWlzb5OUxTlpvHrF3eiUqkYOfUTHF0D2+S65mCnt+O+IY9yR+S9tY99uvdD3t/zNqVt9Pq1pckb7mVq0ERmDrzD0qGIBiiKQu7KuVSfOUr3Z1eiset4PcNCXEmDCVZH0BETLJPJSPyWx8lI/ZLw616kV+iMVrtWaEQEB00KyvNz/xi+O5wOffqi0WgY4+5GtK8PU3y88GzHWx8NiozkYA9/uPPuC/cBkJ+P54FE4l/+Jz5ttMCirPgMv31xFxVl2YyetgEnt35tct2W6ko9WKXVZUxcP52YEf/H+J7XWjoc0YCS3zdRsP51XGctxLb/UEuHI0SraL/dU52QyWRkz+a/kZm+kWE3rWzV5AogPTUVZeiwP5ISlQo8PNCu+YBzN9/I1muu5uHePdt1cgXwwpw58NUXqBYvhG++hg/fh8QE8q8Zg983m5n06+9sOXuu1es86R28GX1rHHoHb37+PJqCnKRWvZ65xMyNYfeJ33nqi4cprSrll6M/sOfkDmLmxlg6NLMyGAyMuvkaAGY/9kyHKxXSVVTnnKbwy5XYDb9RkivRqUmC1UYUUw3xW/7O6fSNDJv4Dr6BN7fq9ZKLirB98h9w3bgLPVdwYe7Sm68Tcu4MrtbWrXp9c7q4wm+QVoPN5+sJPXMaw/ixZE+ZxL8iw8gqr2TCL78TtvUHPjp5imqTqdVisbZ1YVT0evSOvvyy4VYKsg+12rXM5eLrV+NSyU9HthLk3b/Rc+Q6iovD4fkOJQBk5J3ukPXYOjulxsj5j15C4+iK05RZlg5HiFYlQ4RtQFFM7P3Pk5xK2cDQif9q1eQqqbCIuUnJfHE6CxcUzn/0IZzNgn79mzwBvaNQFIWfcnJ5Oe0wm86eo4etLXP7B3FfgD/aVppDWFVRwK+GOygryuSa27/GoVuvVrmOueUeKCT1g1MMnhOEjav5F1VYSlhEGBnGLEKeGVY7DJr00i78dN7s27vP0uGJ/yr87iOKt67D/fHlWAcEWzocIVqV9GC1gUO/vsjJ5M8YPOH1VkuuTpSWMmN3PAP/8z2JBYWsHhxBVvQU4mbeS2iNEZvP1zNIq+l0yRVc2NbmWg93vh01goPXj2Wkmyuz9ibSf8s21mdkYmqF7xBWNs6MnPoxVrbd+NVwB+UlZ81+jdbgHGiPSg35qcWWDsWs0lLTcB7oXmerI+eB7qSmpFo4MmEwGIgMD2N0z+4UbF5LZo9wSa5ElyAJVis7kria9Pg3GXTNC/gFm7/mUKnRyHMHkwj8bitbzmbzRngoqRPGc19Pf6zUaqKiokjcu5fyslIS9+7tdMnVnw1wcmTdVUNIGDeGPvb23L5zD1d9/xPx5/PNfi1rW1eunroOxVTDr4bpVFUUmP0a5qa10eDgr6fwSOdaPRgUHETBwZw6Wx0VHMwhuJ98kFvSxaFbj5JzrJwwkCPnS7n6qRdl6FZ0CZJgtaLTRzax/8cY+kTMom/EQ2Y9t6IoxGWept/mbbyafoQ5/YI4OvF6HuvTC6t2XFqjrYR3c2bTqBH8dO0oKk01DP1+O4/sTeR8VZVZr6N39OXqqE8oLznLrm8fwmQymvX8rcGxlx2Fx0o71ebP82LmkZ+cg1KjUJCUS9JLuzh/MJt5MfMsHVqXtnjRQkb7u7Nq4iAcrLUEutgxws+VJbFSBFZ0fvJJ3EoKc1PY891f8el7E4NGm3cvwTPl5Uz6dQfTduwmzNmJpBvGMT+kX5NqV7UGg8FAZFg4dno9kWHh7eJb6mh3N/aOG8OrYYP45FQGQd9tZX1Gplmv4egaxFWT/k1Oxm8c+OkFs567NTj1sqO62EhFjnmTTUuKiorinU//jVqrJuvb4/jpvDvlcHhHk5qWxqxwvzpDt9f6uZKSKkO3ovOTBMtMDAYDEeGh6PW2jBg2kG3rbsPeuSeDb3gNlco8L7OiKKw7lcGALd+zr6CQr0ZexddXD6eXvZ1Zzt8SF4cCnHIreS5kAk65le1mFZdWrebxvr1Ju3E813q4cfvOPUzfuYfzVVUYDAZCIyKw1esJjYhodrweflcTOiaWo4nvEbfmqdr3QkR4aLt4Df6XQ089qKDwaOcaJgyI7A3AsT2H2bd3nyRX7cD48BCu8nGpM3S7/VQe/YJl6FZ0fpJgmcHF5EKpSOe28TqmjMyiuDCbQqvb0er0Vz5BIxRUVXHHzj3cuSueGzy7c+iGsdzi7WWWc5vD4oWLGOPTj8+ve4RH+1/H59c9wrXewSxZFGvp0Gp52tiw/qqhfDxsMJvPnqPPV98QvWAhB00KFbfezkGT0qKksHfoTLC/mursj/G0P8pt43UoFentJtG8SGujwc7bhuJTbb9/aGs6fP4Y3vae2FtZ/guHAFNVBS9d05cTBaXc980+ViWc4K6vEvjlZC5z5srQrej8pEyDGUSEh6JUpDPnQafaJeIff1vKqfze7E1IbPH5EwsKiP59N+erqngnMozbe/i2POgmUhQFpaicmpxCTDlFmHKKMeUVYyqpQCmrJOHXnfjZueBs/UdCWVhVTlZ5AQOGRKDSW6PSW6N2tkPt5oDa3RGNuyNqd0dUWk2b38/p8nKCX3+Lkp7/La9gpj0OB0cO4t7rs/B219S+F2JXFaLRB5nlvWAuhz/LpCSznPCn+lo6FLN5YlsMDlb2LBo929KhCOD8uuWUJ/zE/kG3MG/Fm6SkptIvOJg5c+dJ76LoEiw7aaeTSE270HP1v/MMnOxVpOxIa/G5Vx8/wWMJ++nv6Mi2a0bS065tvp2bisowpp3BeCKHmpM5GE/moBSV1z6vsrNG7eaIysEGtb0Np0zFHMvKZrJ/eG1ise10MmoHGwa5O6KUVmLKLcJ4OAtTXjGY/pvXa9VofFzR+ruj8XdD28cTjZ8bqlaeqO9ja0v1wvnwXAwE/Xe4QqVCCQsn7fP1zT5vcsphUvtY4eOh/+8pVYQF6Vi/teXvBXOy72FL9p58TNUm1LqO35FdY6ohNe8w9w64zdKhCKB091bKdv2HbtOfZOKw65l4zwOWDkmINicJlhkEBwWSejydSdcotclFYlo1/YKDGn0Og8HAgthY0lNTCQwOJmZODD/36s2bR47xYM8AXg8fhI2m+T09BoOBxQsXkZqeRnBgEHPmzSUq6o+yEUqVkeqkDKqTMzEmZ1CTeR4AlbMdWn83rMcMQNvDFXV3ZzTujqhs6xaptPcqIzo6mo+8dzDWux/fn0lh+5lUDAYD9lPH12mr1JgwnS/BlFtETWYexpO5GE9kU/lbKtSYUNlZow32QdffF90gfzQeTo2+j6YICgri4Ib1dfdqzMwgqAVL+4ODAtlxIJ3rhtk2+73QFux72KKYoPRMBQ7+5hnGtqQThRmUGyvo59ZxNuHurKrPHKfg8zfRD70eu2HXWzocISxGEiwziJk7n+0b7qeyCn7dV8aO/VXsT6vAYGjc6sGLc7hUoWEot97OgeQkbtsTj9oEKyPDmdWrZ4viu3j+MT79eC5kAj9kpRIdHc0Xn33OxJ5hVO05SlXiCaisRu3qgLa/LzY3RaLr54O6m32jrnFxO5Yli2J5MWkz/YKCMbxZ/youlUaN5r9DhLp+fwx3KtU1GI+epTolE2NyJmWf/Aof/YzG3x2rIb3Znn+M6Bm3X3IfcXFxzUqy5sfEXHjdFy9EuWoEDBwE98wkyqH5vYQxc+cTHR1N7CqYcYsd3V21nD5XxarV5l1J2lJ2njaggtKszpFgpeSlo1apCXLpY+lQujRTRRl5HyxG6+aF87RHLR2OEBYlc7DM4Ozx7/nty7vZ+Jsj6zedol9wEDFz5zd6nkFoRAQHTUrdnpSqKnp+GcexDZ+3OL7IsHCcciv5/LpHantVvj+TwkjPvthqdGj83LAa0gerwb1ReznXDnVamlJRRfWBU1TtOXIhAawycrjwHH0cPWrvY9r3b1PsYUv8voRmXcNgMLBw8WLSUlLpEzoIzVPPkIyKdwdHcG+AX7PPuTh2ISeOp/HKUy44ugYS9fAP7eZ1vSj+xTRc+jvQa7K3pUNpsZd2vkFK3mHev+l1S4fSZSmKwvkPFlORmoDHU6+j82j7uaJCtCfSg9VC1VUlJHz/DB5+o3n/iU/5oBkfoumpqSi33n4huYIL/79zB1mbNpklxtT0NGIGTKwzR2yYRy/eTv2Rhd9+iKa7s1muY24qGyushvbBamgflMpqbhtwNc8Pqnsf0QGRPLuv+Sv0oqKi6vR+VZtMPJKQyIw9eyk2GnmsT9P3GPzfc15Mvk8c+oSeA+9qdpytQe9hTfm5SkuHYRb7s5MZ4hVm6TC6tJLtBsr3/4rrfTGSXAmBlGlosaTfXqSqooCIca80u4ciMDgYTpy40HMFF1az/fJTi+YCXaRUVBEzMppbew2pU4vm/p9Ws8WU2W6Tqz9TWes4ZlfFU7s+q3Mfd/Qextrxj2A8mWOW6+jUav4dGc6TgX346779rEg/0qLzefYci3//2zn4yyIqy3LNEqO56LvbUHa24ydYeeXnySw+wyCPEEuH0mVVHjlA4cb3sL/uVmxDr7Z0OEK0C9KD1QIFOUkc3f8BA0fNxc6pR7PP89CcGB7LzoX885CQgGrn7ygH9jO/BbWTlCojFVsSqfhuHw/6DOOT9B3szDlKf2fvPyagv9l+ajM1xpx5c4mOjmba928z1rsfP59Nx9vWmcVj76Jo3mfoQv2xvXU42h5uLbqOSqXilUEDsFareXL/QapMJp4Nbv7k6YGjYjhzdDOHfnuRyPHLWhSbOdl6WFFZUI3JaEKt7bjftfZnJwMQ6tHfwpF0Tcb8HPI+WIJ174E43TTT0uEI0W503L+qFqYoCge2z8OhWy/6hDV/CXJWeQWv2Nrh7eZG/08+wuajNQzSapq9zYdiUqj8LY3CZ9dS/sVurIYH0m3ZDHyfjibdvooXkzZT7GHbIbcRuTiRvtjDlheTNnPezYrJ/3wK7zcfwu6h8dScLaBo7meUrv4BU0HLqpSrVCoWD+jP/P7BzD6YxL+OHmv2uaz1boSMeJYTh9Zx/uy+FsVlTtbdLqwErcyvtnAkLbP/3CF8HbxxtXWxdChdjlJdRd7qhah0VrjMeA5VC1Y6C9HZSA9WM5058i05mb8zcuonqDW6Zp0jv6qKG375jWqTwo6bJuB3a/PKDVxkPJ5N6Zrt1BzPRje4Nw63Da8dAvzzXKOOqqH7sB4RhNXQPlT+eIjyL/dQufMwtrcMxmZCWLMLmapUKub3D6aguprHEvbjamXFbc0s8tpz0D0cP/Qx+3+M4do7vmkXE95tXC4kWBXnq7B1t7ZwNM0Xf3Y/EZ6DLB1Gl6MoCvnrX6f67Ek8Hl+Gxt7Z0iEJ0a5ID1YzmGqqOPDzIjx7jsMzYEyzzlFeU8PNv+7gdHk5W0aPwE/f/KXySmU1ZZ/+RtGCz6HGhMOcKBz+dmOHmV9lLiqtBpvxoTi9dA82Y0Ioj9tJ0YLPMR4/1/xzqlQsDx3IXX49uHtXPNvOZTfrPGq1lkGjX+D82QTOHP2u2fGYk5WTFlRQeb7j9mCdLckms/gMQzzDLB1Kl1Py81eU7dlGt9v/jlWPzrMjgBDmIglWM5xI+pSyogwGXh3TrOMVReEv8QkkFBTy7dUj6O/o2OxYqlNPUzhnHRXbDmB761U4zr8VXWDHX3bfEmo7a/TTr8Zx/q0AFC3YQNmnv6FU1zTvfCoVq4dEMLa7B9N27CatuLhZ5/HwuxoPv9Ek/fZPFFPzYjGnL7/+ksKKfOY/u4CI8OZvdG1J8WcTUavUhHsOtHQoXUpF6l4Kv1yF/Zho7AaPtXQ4QrRLkmA1UY2xgtRdr9EjaAqObs2rzv1y2mE+OZXJ+0MiuMq1efNGlBoTZYZdFC/9ArWLPU6x07G9KdIi+/q1V9oADxzn34rttKuo2LqfokUbqDlb0Kxz6dRqPr1qCF421tzy604KqqqadZ6Qkc9RfD6dUylxzTreXC4Wny0pL+Eqv6vRFdi2u02pG2N31j6CXfrgYNW4grii5aqzM8lb8yI2wZE43Xy/pcMRot2SBKuJjh/8mPLSs/S76slmHb8p6yyzDybxfHBgszdtNp0vofifX1LxdTy2U4fhMHsKGk/nZp2rs1NpNdhOisRx3q0oFVUUzv+Myt+aty+gk07H1yOHk11ZyfRd8dQ0o0avi2cY3n0mkrJruUV7sWIXxTI0YATeTr709QjmlSn/Yoj/cBbHLrZYTE1VXVNNfFYiV/kMtnQoXYaprJi8d19A49ANl3tno1LLFzohGiIJVhOYaqpJj38bv+AoHJqxJcepsjLu2hXPTV6eLBrQvCXl1elZFM77DFNOEQ7PTcV28pBW3xi5M9D6u+O04HasInpRumorpR/+hFJjavJ5+jrYs374UP5z9hxLUpqXqAUPfZzSwpOcPvxts443h7S0NIb4jahTtHWo/0hSU1MtFlNTHcxJobS6jOE+QywdSqdmMBiIDA/DyU7Pd4/cQsX5HFwffAG1bdtsPC9ERyWfzE2Qmf415SVnCBzc9D22jCYTd+2Kx0Gr5cOhkaibsYqs8tdUiv/5BRqfbjguvB1dUNeea9VUKlsr7B8aj37mtVRuT6J4+UZMpU0vtDm+uwdz+wfzQlIKv+XmNfn4bt1Dce8xirT4N7HUTlVBQUHsOfV7naKtu0/+RnBwy4vbtjaDwUBYRBjTZ9+LqdjIwR/bT+mLzubiULJ9/hk2TAknxEnH9E9/YeMvuywdmhDtniRYjaQoCocT3sHD/xqc3Po1+fjYlDR+z83jk6sG083K6rJtDQYDkWHh2On1RIaFY4iLo+zzHZT+exvWI4Jx+Mdk1A62zb2VLs9mzAAcnr6FmuPZFC3awKaP1td9vRsxDymmXxAj3Fy5c9ce8psxHytoyGMUZB8k+9QvzbmFFouZG8PuE7+zLe07SitLeOqLh9lzcgcxc5u3cKOtXPzAzzBm4TbCm4KjeUybNq3DzR3rKBYvWshof3fWTg6nn7sDGpUKnVbDkthFlg5NiHZPEqxGys3cQUH2IQIjH27ysTvzzrMoOZX5If242u3yVcYvfoA45VbyXMgEuuVWcWpZHBXf7MX29hHo7x8jE9nNQNffF8d50ygpKiLg68OElOt5LmQCTrmVjZrsrVWr+XjYYIqqjdzy9TeERkRgq9cTGtG41XgefqNxcuvP0f2rzXVLTXKxaGuFVSlGk5Eal8oOUXx2YexCXAZ6EPLMMLR2OrqFeuAy0INFi+UDvzWkpqUxY6BvnaHka/1cSelAQ8lCWIpKsdQYhRkkJCQQGRnJ3r17iYiIaNVr7fr2YQpzkxl/709NKhJZZTIRvvUH9BoNO667Bu0V5ktFhoXjlFvJ59c9gkqlQlEUTCgsz/yVF39Y39LbEH8ydvBwXvGbgJ+9S+3rPe37tyn2sCV+X8IVj39ig4HXFBV8tg7s7FDtT0TZn0hcXNwVC7se27+GxB/nMOGB3egdLDPce+aXXI5/fZaRLw+wyPWbylZvi/fU3vhO7F37WOamo5z54ijlZeUWjKxzmj56CLGDumGlUdX+ftz1VQJlLr7EJ8jQrBCXIz1YjVBZfp4zR78jYMCdTa7AvTQ1nfTiEt4bHHHF5AogNT2N67yC63xj3JqZxOs7v2lW7OLydibvZ9vppDqv91jvfqSkNe4b+g9LYuHoEbjtDph0C8rzc1ENCmXh4iuvxusRHIVaa82JQ+tadA8todapUWoUFFPH+J4VFBxEwcGcOnPHCg7mEGyGjdFFXcbcLJYM8+VAdiEzN+5jVcIJ7voqgV9O5jJn7jxLhydEuycJViOcSolDURT8+01r0nEpRUXEJqfybHAgg5ydGnVMcGAQP2al1vkA+Xfaz/TrAJOPO6LgwCC+O32ozuudXniu0a/34dRUOHEcLibeKhVKWDhpKVdO0HTWDvgFR3Hi0McWK9mgUl+Iu6P0Y8+LmUdFfjkqlYrc+CySXtrF+YPZzIuRD3xzqikpJHdlDLZO3dBE/51CZx+WxZ+kzMW3QwwlC9EeSILVAIPBQER4KHq9LVu/XIBiMwBr/eXnT/0vRVH4e+JB/O30xPRrfEHSOXNjGO/dHwXYknmIad+/zfYzqcyZO7cZdyGuZM68ufx4OoVp37/Nu6k/c7Ikj2dDb2Thk8816vjA4GBUO3f8kaEoCqrEfQQ1skclIGQ65SVZRN00AL3elojw0DadsK26+Begg2RYUVFRPPzK31Aqajj+7iH8dN7ygW9mpqoK8v49H1N5KW4Px3LL7XcSn7CP0rJy4hP2yWstRCNJglWPixPNlYp07p9sRfduNbz4+g9X/OAzGAy1k5173XY7W89l88qgAdg0YYf5G3X+zOp3LW+c/p2/7PiQYg9b+QBpRRcnexd72LLg4DfMztiKs5srIw5UYCq+8pye+TExKPsT4cVYKCmBE8dRDuxnfkzjVuP9+PtxzuUZ6d/jHLeN16FUpLdtRfX/drwpTS8JZhEmxUSmdTa3DJhIWXEZ+/bKB745KTU1nP/wn1RnHcdt1gK0blIKRojmkknu9YgID0WpSGfOg061EztffLcQbILYm5BY7zEXkzJVaBhKWDgMuwrOnmXDoAFER19+svNFVXuOUPLmZmynDsV2ylCz3Y9omprsQooWbkDj44LDP2654qpNg8HAwsWLSba2pfr/nuI5NSyJbtyHfkR4KNcOPMWIMOva91rsqkI0+obfa+aUvbeA9I8zGP5iCBrr9v9960B2Mn/b+hyvj1tCaPcQS4fTqSiKQv5nr1K2eyuuf3kB2/7yN0iIlmj/f1EtIDUtndBAXZ2JzwP76khJbbhy94LY2AvJ1fNz4aabwdUNdvzGoiWN23rEeCqXkn9/j9WwvthMlsrUlqTxcML+bzdiPJxF2bpfr9g+KiqKxL17qfztF8Z6uGOws2/0NjqpaelUG0113mthQZd/r5nTxWr2am3TC99awpbjP+Khd2OgR9Nr0YnLK/r2A8p2bqHbHU9KciWEGUiCVY/goED2p1fXmficmFZNv+CG51Klp6aihIbVmeyMl3ejJjubSsopee1bNN2dsHvguiavVBTmpwvyRn/PaCq3HaRie1KjjlGpVLw4MIS04hLWZ2Q26pjgoEB+3VfVpPeaOZmqFVCDStP+33Plxgp+OPELN/Yei1olf7rMqXj7FxRv+wynyQ9iN3ScpcMRolOQv1L1iJk7n8TUCrbuqKDGpLB0dSH70yqImTu/wWMCg4NR7U9s8mRnRVEofe8HlIpq7P8+EZW1zox3IlrCZswArMeEULb2Z4yZjdsSZ4hLN2707E5sShqmRvRiXXyv7TlURVmFidhVV36vmZPJqKDWdow/Az+f2kGZsZwbe421dCidSumu/1D45Ursr7sVhzHRlg5HiE6jY/xlbWMXJz739nci+agRxSroihPN58fEoBw6CIUFcOY0qsULGzXZuXJ7EtUJx7F74Do0bo5mvhPRUvo7R6HxcKL0nf+gVBkbdczc/kEkFxVjOH3mim0vvteOnuuO3kZNd6/ebbqowVRtQq1r/71XAJuObSO8+0C87LtbOpROo3z/r+R/+ip2w2/E6eb7LR2OEJ2KJFgNmHzLjfT1U3PnA7HsTUi84gdeVFQUT3y6Hpy7YfX2WwzSaq74QVlzJp+yT37FekwIVhG9zH0LwgxUVlrsHr6emqx8yj7f0ahjhru6Ms7DnaWp6Y3azDkqKorPvtqHRmvLGy8/1qar4ozlNWht2v/WS6eKMkk8d4ibesvwlblUpCWQ9+E/sQ29Gudb/ypTE4QwM0mwGpB7eg+mmgq6+1/b6GN2ubhynYc7lWkpJO7de9kPSsVkomTVVtSu9uinX22GiEVr0fq5ob9tBJX/2U91SuPmVj0R2Ie9+QXsPp/fqPYarQ2u3kPIPb2zJaE2mbG8Bq2+/SdYXx/ejJO1I9f4jbR0KJ1C5dFD5L23AJvAMFzu/gcqdft/DwjR0UiC1YC8M3uwsumGo2vjJhvvzc9nR955/tancT1RlT8couZ4NnYPjJV5Vx2A9fhQtH08KV2zHaX6ylXXJ3h2p5edHW8eOdboa7h6DyX39G6UNixKZSyvQWvbvj9cK4yVfHfsB27qPQ4rjfyutFTVyTRyV83Dyj8Y1/tiUGnlNRWiNUiC1YDzWfG4eEU0utv8rSPH8NPbMsnL84ptTfkllG/YifW1Iej6erU0VNEGVGoV+vvGYMouomLTlTeB1qhUPNq7J59lZHKuoqJR13DzGUp1ZQHFeYdbGm6jGUvbfw/W9yd+prSqjFv6TrB0KB1eVeZRct6Zg87LH9e/vIDKytrSIQnRaUmCVQ9FMXH+bAIuXpGNal9iNPJZxmlm9erZqA2dy9b9BjoNtrcNb2moog1pfV2xmRBG+cZ4as4VXrH9fT39UalUfHwqo1Hnd/GKRKXSkHtmV0tDbbSqIiNWjto2u15TKYrChrSNDPcZLJPbm8FgMBAZHoad3paoqwdz+tUn0bp54fZQLGprW0uHJ0SnJglWPYrPH6G6sghXr8GNav/l6TOU1dRwt1+PK7Y1HjlL1a7D6G8fgdrOpqWhijZmO3kIagdbyjdcecK7i5UVk7w8WXuycQmWVqfHwaUvBTmNq7tlDlWF1Vg5td8hor1n93Os4CS3Bt9i6VA6nIu7S9jnnyH26j4sGuhE6pkcdvoOR21rZ+nwhOj0JMGqR1HuheKgTu6N24rj41OZXO3mir+d/rLtFEWhbP3vaHq4YjWicZsBi/ZFZa3DdupQqnYfwXg8+4rt7/LzZV9BIclFRY06v5N7fwpzklsaZqMYK2qoqTRh3Y4TrM9Tv6ZPt56Edx9o6VA6nMWLFjLa3521k8O5tb8PjlZa3thzjEX/fNnSoQnRJUiCVY/CvFRs9B5Y27pcse25igq2nstuVO9V9YGTGNPOYHvrcFRqWRLdUVldHYzG26VRZRsmennirNPxcSN7sZzcQyjKTWmTie5VhdUA7bYH60ThKXae2cu0oJulhEAzpKalMTmwe51tmAZ7OZOSeuXdJYQQLScJVj2K8tJwaOTqwW+yzqIoCtG+l991XlEUyjfsRBvkjW6QvznCFBaiUquxvfUqjEkZVyzbYKPRMMXHiy/PZDXq3E5u/TBWl1Ja2LiErLkMBgMP3/UoAFPuvAWDwdCq12uOT5IMuNu6Mi5gtKVD6ZCuDw/hht4edbZh2n4qj37B0nsuRFuQBKseRXlpOLoGNqrtt1lnucrVBTfrS1fjGAwGIsPCsdPreWjUzdScysV2ylD5Nt4J6MJ7ovFz48Tq72p/xpFh4fUmKjd5eZJcVMyJ0tIrntehWx8ASguPmz3miy7Ozemu8sVoMlKWXUF0dHS7SrLOlmSz7cTP3NZvMjopzdBkVaePsXyELxmF5Tz83X5WJZzgrq8S+OVkLnPmzrN0eEJ0CZJg/YmimCgrysTeOeCKbStrath6Loeb6inNcPFDzCm3kudCJjDdOYTEvFNsTGm7FWKi9ahUKg66GXHNrmRguR3PhUzAKbey3kRlfHcPtCoV32adu+J5bR28UKk0lBacbK3QiV0Uy9CAEdwyYBpatZZXpvyLIf7DWRy7uNWu2VSfpnyJnU7PpD7XWzqUDqfqVDo5bz2DvrsvVZP/yjl7L5bFn6TMxbdNt2ESoquTBOtPKsvyMNVUonf0vWLbX3PzKDEa602wFi9cxBiffnx+3SM82v86Ql178MOZFJa0ow8x0TJPvr+cnIpilg27nUf7X8fn1z3Ctd7BLFkUW6edk07HaHc3vs06e8VzqtVa9I6+lBa13hBhWloaQ/xG1JmbM9R/JKntYG6OwWAgfFQkcYe+Jnt7Bps3fmfpkDqUyuPJ5Lw9G527L+6PLuWW2+8kPmEfpWXlxCfsk+RKiDYkCdaflBWfBkDv4HPFtj/m5OJubcUgp0s3aU5NT+M6r+A6w4G2GitS0iz/ISbMIyk9lfSCs3USlbHe/er9GY/v7s4vuXkYTVeevK539KO08JTZ470oKCiIPad+rzM3Z/fJ3wi28Nyci72+VYM1oIJjuw+3u6HL9qwiPZHcfz2Pzqc3bo8sQa23t3RIQnRpkmD9SXnxhUnLtg6Xn7QO8FtuHle7udY7pyo4MIgfslLrfIhtO5MsE0w7keDAIP6d9nOdn/H3Z1Lq/Rkbk5IoMRqx6x9CaETEZZMGWzsPKsuuXAKiuWLmxnAkOw2VSsWvR7fz1BcPs+fkDmLmxrTaNRtjYexCPIb74BrpiVqnod/fB+My0INFixdZNK6OoPzQDnJXzcWqZ3/cZi1CbXP5kjFCiNYnCdafVJbloVJpsLK5fImGapOJXefzudrNtd7n58yby4+nU3gr+QcUReHhXz9k+5lU5syd2xphCwuYM28uG08msiP7KHkVJUz7/u16f8YGg4G50+8Ao5Gq26dz0KRctmfGSu9KZfn5Vos7KiqKNa+vBeDdXW9Q41LZLubmpKWm4XtTnzo9gs4D3UlNkV7fyynb+yN5qxdh238obg++gNpaChgL0R5IgvUnVZWF6Kwdr7jSb19BAeU1NYx0rT/BioqKIi4ujmsCQvjl3GGOO9W0iw8xYT4Xf8bflB7F1cYeT//6JxEviI1F1T8ENBoYMBDl+bmoBoWycHH98/GsbV2oasUECyAsIBKNtZrDZ9LYm7C3Xbwvg4eGoO/hUKdHsOBgDsH9pNe3ISW/buT82pfQR16Hy4znUWmtLB2SEOK/2u8mZBZSXVGIzsb5iu325ReiUakIc3ZqsM3ka8ZT+NUZ7J68hykjXjdjlKK9iIqKYuqUKRT83we8+9d52E0ddUmb9NRUlFtvh4tJu0qFEhZO2ufr6z2nlY0LlRX5KIoJlap1vgMVnyrD3te2XRW8HfLwKA7kJnPk/QM4BbtScDCH8wezedfwjqVDa3cURaFo81qKt3yM/TVTcZr8IKpG7IMqhGg78hv5J1WVhVhZN5w0XXSwsIggB3usNZoG21QnHAeNGl1YgBkjFO2NSq3GKrwn1QnHa3tf/ldgcDCq/Ylw8TlFQZW4j6AGemZ0VvagmKgxVrRKvIqiUHSiDIeA9jNP50j+cdJrjnOjx7X0wJMzXxzFT+ctvb71UEw1FMS9TfGWj3G8aSZOU2ZJciVEO9Smv5WHDx9mxIgRBAYGMnToUJKT6+65VlFRwZQpUwgMDCQsLIwJEyZw4sSJNonNYDAQER7K2o/eJ3F/Ur3zYwwGA6EREdjq9Xzwww84F19+f7mqhGNo+/mg1l9ahFR0LrqIXphyiqjJzLvkufkxMSj7E+GD9y488N4qlAP7mR9T/6Ty3fH7APDydCMiPNTsq+gq86upLja2mwRLURTe2fcBPg5ezJn2D/bt3Ud5WTn79kpZgT9Tqqs4v+ZFSn/7FufbHsdx/B1SuFiIdqpNE6yHHnqIWbNmkZ6ezjPPPMMDDzxwSZtZs2aRlpZGYmIikyZNYtasWa0e18Xl4UpFOj291ZiMZZdMQr7Y5qBJoeLW2yl19+D3Tz9t8MPPVFqBMe0MVhG9Wj1+YXm6fr5go7vQa/knF+dqDci/MK+qh6dXgz0zBoOBJUteunDcdTqUinSzlyooOl4GgKN/+0iwdp3Zy56sRB4Jn4lWLbMWGmIqKyHnnTmUJ+/G9b4Y7EdMtHRIQojLUCn1jWm0guzsbAIDA8nNzUWr1aIoCl5eXuzcuZOAgIB6j4mPj+eOO+7gyJEj9T6fkJBAZGQke/fuJSIiotmxRYSHolSkM+dBJ1QqFYqiELuqEI0+iL0JiQCERkRw0KSgPD/3j7k0hg2EpqeSuHfvJeesij9KyRvf4bR8BhpXh2bHJjqO4je+Qykqw3FOdINtvDd+x196+rNwQP96n48ID8Xf5Rh3T7pQw6i+92JLHf4sk+KTZUQ807jtoFqT0WTkvm8fx9XWhRVjF0lvTAOMBTnkrpxLTWEubn9ZgHWvEEuHJIS4gjbrwcrIyMDb2xut9sI3VJVKhZ+fH6dONVxQ8fXXX+fmm2++4rmfeOIJbrnlFtatW9es2FLT0gkN1NVZHh4WpCMlNa22TXpqKkpo2B/JFYBHd9IaWEJenXYGtbujJFddiC7YG+OxcyhVxgbb+OltySgvb/D51LR0evv+Ma+vvvdiSyiKQkF6CU5920cRyi/TvyOj6Ax/jXxAkqsGVJ0+RvaKJ1AqyvB4fLkkV0J0EG06RPjnP6CX6zxbsmQJhw8fZnEDS9n/16uvvsrXX3/N9OnTmxVXcFAg+9Or6ywPT0yrpl9wUG2bSyYqA+zd0+BEZWPaGbRBVy5WKjoPbZAPGE0YjzW856CfXk9GWcMJVnBQIMfP1NT+u773YktU5FVRmV+Nc6DlE6z8igLeP7COm/qMp0+3npYOp90wGAxEhodhp7flL9cNJWv539E4dMPjiRXoPP0sHZ4QopHaLMHq0aMHmZmZGI0Xvt0rikJGRgZ+fpf+wXjllVcwGAx899136PWtP08kZu58ElMriF1VSOY5IyezatifVkHM3Pm1bS5OVFYtXggH9oPJBL//Xu9EZVNZJTWnctBJgtWlaHxdUOmtMaadabBND73tZROsmLnzOZVVDcCW30qJXVV4yXuxJQrSS0ANTr3tzHK+lnhn3xrUKjUPht5j6VDajYtzPe3zz/DvG0KYO6AbPx45zQ7/UWic6q+5J4Ron9oswfLw8CA8PJy1ay9UkI6LiyMgIOCS+VfLly9n3bp1bN26FWdn5zaJ7eIkZI0+iCMZNeisbC6ZhHyxzSCtBu2Rw2jLSjHEbah3onLNiRxQQNvn0k2gReelUqvR9u5+2R4sTxtrsisrG3w+KiqK2c8+DYDhByMafZBZSxWcTy7GsacdWpuGy4u0hQPZyWw+9gMPht2Ds82le3l2VYsXLeQaf3fWTg5ntL8bahV8cCCD2BeXWjo0IUQTtemSnZUrVzJz5kyWLFmCo6Mja9asqX1u4sSJPP/88zz11FP06tWLMWPGAGBtbc2uXbtaPbaoqCiioqJI/HEOOZk7GF/PB9rFNk/tP8i3WWeZOmF8veeqycwDnQZ1d+dWjlq0N5oeblTtPtzg845aHUXVF4ajG5pzFBkxkL3/geycAtQa81Xmrqk0UZBeQsDE7mY7Z3MYTUZW7HmHYNe+3NR7nEVjaW9OHj3MF1ERdeaDju7hyrJ42S5IiI6mTROsoKAgduzYUe9zmzZtAi4/L6st6KwcMFZevr5VUXU1jlpdg8/XZOSh8XZBpZHif12NxtcV06YETGWV9dY/c9LpMAElRiMOuvrfQ1UV+Wh1dmZNrgAK0otRjAouIZbtMVqX/AUnCzN4Z8IyNGrL9qS1J8b8bAy3XoWnjbo2AVcUhe2n8mSTeCE6ICk68yfWejcqy/Mu28NQWG3ESdfwS2fMyEXTQ+ZLdEUXf+41medRB3pd8rzjf983hdWXT7CsbLuZPba8Q0XYelhj6265wrcZRaf58OBn3NZvCoEuUiPuosrjyeStXoSPmwuT3tuMu70N1/q5sv1UHr+czMWwYpWlQxRCNJF0sfyJtd6NGmMFNdVlDbapqKnB9jJb5JjOFaLxMv8HpGj/NJ7OAJjO5tf7vP6/75vympp6nweoKs/Hysa87x9TtYm8g0W4hV15G6jWYlJMvLL7bdz0rswceIfF4mhvSndvJefNZ9G6+xAw998sXrWGMhdflsWfpMyl/g3EhRDtn/Rg/Ym1rRsAFWW52Fs1vNKqoZI9SkUVSlklalfLL4MXbU9lpUXlaIspv7T+5xtR66miLBtrvZtZ4zqfUkxNhQn3cMslWF+lf0fiuUMsH7sQG61sH6XUGCn86t+U/PwV+qtuoNu0v6LS6mrnegohOjZJsP7Exs4DgPKSM9g7+zf5eNP5Cx+sahcpMNpVqV3sMeUVN/v4sqJMXLwizRgR5CYWYudtg767jVnP21iZxVm8s28NU/reSKRnqEViaE9qSgo5v2YJlUcP4TztMexGTpJCq0J0MjJE+Cd2Tn6AitLCk8063nT+wger2kV6sLoqtYs9pvMlzT6+rCgDO8ceZovHWF7D+aQi3MOdzXbOpjApJpbueB0X2248FD7DIjG0J1UZh8le9jeqs07g/thS7K++WZIrITohSbD+RKO1wdbei5KCSzftrW2jUlFtqn+1o6nwQhFJtVP72EhXtD21kx2mwvrn8FWbTABo1fV/oFZVFFJdWYTeDAmWwWAgIjyCu0bNpLrSSHz27y0+Z1OuHRYRhq3elqseupaDOcnMvupx9DrbNouhPSrd9R+yX3sStb0THk+9gXXvgZYOSQjRSiTBqoedsz+lBQ33YDnqtBRVV9f7nFJRBRo16GT5eVelstWhVNb//rj4vnHU1j86fzGxt3Nq+vD0/7pYEVxXYMtdkfeTeu4QU++cgsFgaNF5m3LtDGMW/jP6YX21ExkbD3P0N/Psp9gRKcYq8te/Qf665dgNHovH48vQdvOwdFhCiFYkCVY97J17UXy+4WKRTjodhdV1N/Q1GAxEhoXz/FPPUFxZzhdffNHaYYp2KuXYEXIyz2Cn1xMZFl4nqbn4vnFsoERDUW4KoMLRNbBFMcQuimVowAhemfIvXOzc6O85iCH+w1kce+W9PVtqYexCXAZ6EPLMMLpf3QOVWkVR6nkWLV7U6tduj4x5Z8l+7SlKd/0H59v/Trc7nkClM2+NMyFE+yMJVj2cPQZQdP4wppqqep931OkoMv7RQ3HxG7tTbiU3ePen0lhNdHR0m/QWiPbFYDDw7kdrsFXpeC5kAk65lXXeC0XGavQaDTp1/b96hbkp2DkHoNW1bIg5LS2NIX4j6lQEH+o/ktTU1q8InpaahvNA9zrXdgpxIzWl61UjL0/axbllf8VUWoTHE8uxH36jpUMSQrQRSbDq4ewegmKqpigvvd7nu+l05FVW1VadX7xwEWN8+vH5dY8wxL0nrtZ2XOsdzJJFsW0ZtmgHFi9chL+DK7YaHY/2v47Pr3ukznshr7KKblYN7wJQmJuKk1vLq3YHBQWRdHZ/7XtUURR2n/yN4DaoCB4UHIRiNNX+W1EUCg7mENyv61QjV2qMFG5cTd6/52PdM4TuT7+JVY++lg5LCNGGJMGqh5Nbf0BFQc6hep/vobeltKaGgv/Op0lNT+M6r+A639jHevcjJa3rfWPv6lLT0wh28mzwvZBRXo6vbf0TvRXFRGHOIZzdB7Q4jpi5Mfg49cBoMvLF/s946ouH2XNyBzFzY1p87iv52/N/x2t8TwqScsjcdJSkl3Zx/mA282Lmtfq1LcVgMBAZHoad3pYbroogdcEDFP+4AaebH8D1gfmo9VK2RYiuRhKsemit7HBw6c35s/vqfb6H/sIHZEbZhRWDwYFB/JCVWqe34PszKbJ/WBcUHBjE0eKcet8LBoOBDT9uZ8/mzYRGRFwyhFx8/ghVFfm4eA1ucRxTJk/lweseY2/2Dt7ZsYIal8o2qQheYazkV9t9uOtdUP9QwZkvjuKn8+7U1cgvThGwzz/D62ODeTXChcLMEyQPuhmHsbeiamA4WAjRuclvfgNcvYeRd3pXvc/56S/Mj8kov5BgzZk3lx9PpzDt+7fZnX2M85WlbD+Typy5c9ssXtE+zJk3l+NFOZQZq3g7+Qemff8228+kMnb8eKKjoylxdMLk6sZBk3LJPL28M3tApcbFK6LFceQkFKCp0vHIsvspLStlb8LeVk9wFEXhlV1vcbo4i2U3LmLfzgTKy8rZt3dfp02uABYvWsjYnh6snRzODb27Y6/TsOCXNJ5/XfYPFKIrkwSrAe6+V1GUl0Zled4lz3na2KBTqTheeqFqe1RUFHFxcRR72PL92VR0Wm2n/sYuGhYVFcXMu++lWmXixaTNFHvYYjAY2Lx1K4SFg4sL9O6N8vxcVINCWbj4j1V9eWf24OTWH51Vy4rUKiaFzO9zcAlxwM677epOxaV9w9YTP/HMVX+jd7eANruupVWdy2DZuJA6w8JDvJxJaYMFBUKI9ksSrAa4+Q4HIPf07kue06hUBDs6kFT4x3YoUVFRxO9LYNHyl3DU2TJl8uQ2i1W0L/38e+HSw4vSsjLi9yUwdepU0lNTYfiIPzaxVKlQwsJJ++/KOkVRyMn8HTefoS2+ft6BIsqzK+kxru3qLO0/l8TbCe9za/AtjAsY3WbXtSRFUSj5dSNfRg+mwlhTZ1h4+6k8mSIgRBcnexE2QO/gg52TP9mnfsanz6VLqwc6OXKwsPCSx9UOtqAoKKWVqBy6dtXqrkoprrjwPvgfgcHBHMj7n95QRUGVuI+g/66sK8k/SllRBt39x7Ts2iaFjG3ZOPW1w8G/bXYTyCo5x9xfljLQvR8Pd5GtcGqK88lft4KK5N0U+IZwbcxrDPFx4Vo/V7afyuOXk7kYVsgQoRBdmfRgNcBgMLB9Zza7t68mInzQJROSBzg6cqiouPZb60UXkyqluKLNYhXti1JSgcq+boI1PyYGTCYoLYVvvka1eCHKgf3Mj4nBYDDw9F9vpKpaYfJtT7aoflru/kJKz1Tgd0P3lt5Go5RVl/Hc9sXY6fQsGPUsWnXn/85WfmgH5/75CFWn0nB9cAGRzy7n488+p8zFl2XxJylz8ZUpAkIISbDqc3FV0OFjObh1U+Nme7TOhGSDwcCqeXMprK6m/3Vj63wgXuy5MBWWWiR2YXmmwjLUjnUTrKioKIbedjv2uTnYfL6eQVoNBoMBRbkw2b23Zz4FxTVUlx5udpFaU43Cye/O0a2fA0697Mx1Ow2qMdWw8LflZJfl8OK1c3C2cWz1a1qSqaKU8+uWk/fuAqz8g+j+7DvYhgwD/jtFIGEfpWXlxCd07kn9QojG6fxfN5shdtECwoJtmD7xwofUrGkOZJ83sTh2IQDR0dFw1YU5WqnePkRHRxMXF0dUVBRqNwdQgSmnCPpZ7BaEhSiKgim7EPWwPpc8ftzamr9PuIHYp/+v9vGI8FCGDbKll68WlUrFnAediF0Fi2MXEhUV1aRrZ+/OpyK3iuAZfma5lyv517732XVmLy9eE0OAU9tc01Iqjxzg/CfLMJUW0e2OJ9APu6F2UrsQQtRHerDqkZqWTmigrs6qoLAgHSmpaSyIjUUVGgb/9/SFxpOn1lkNprLSonZxoOZsgWWCFxalFFeglFeh8XCq8/iRklJyKqsY6epS5/HUtHTGDbOp973WFMaKGk5tOYd7uBP2Pq0/9+/z1K/5PHUjjw9+kKt8Ilv9epZiqqygIO5tct58Bo2zO92f+Rd2V02Q5EoIcUWSYNUjOCiQ/enVdVYFJaZV0y84iPTUVJTQsAZXgwGouztRk33pBHjR+dWcKwBA3d25zuO/5eWhAob/KcEKDgrEwU5d73utKTK/z8FYVoP/JM/mht5oP536nbf2rmZ6/yimBk5s9etZSuXRQ5x7+RFKd27BaerDuP/1JbSurf/6CiE6BxkirEfM3PlER0cTuwrCgnQkplWzP60Cg2E+LyxaxMH9iSg33XwhyVIUSE+rXQ0GoOnujPHwGQvegbAUU1Y+AJrudXuwtmfnMtDJEWcrqzqPz3n+aYwn/8Hm38oxGpU677XGqsir4vT2XHzHumPTzerKB7TAvnMHif1tOWP8r2ZW2D2tei1LMVWUUfjtB5T+uhGrgH64PRSLzt3H0mEJIToY6cGqx8XCoRp9EOu3VqPRB9WuCpofE4OyPxHV4oWwdcuFJEtndWGV2H9pAtypOZOPUlltwbsQlmA8kYPaqxsq6z82dDYpCt+dPccEz0tX9oX2qUKr0ZCe5XfJe62xjn2Vhc5Bi+8Yd7PcQ0PSzx/l+e2LGejRn+eG/x21qvP9+ahI3cu5fz5M2a4tOE15CPe/vSzJlRCiWaQHqwFRUVH1TjK+mHwtXLyYtLUfoRowkIjH/17nA1Hb0wNMCsaTOegCvdsybGFhxmPn0PaqW+AzPj+f7MpKbvKqO7ykKArHD32Md58J/Pz7e826Xt6hIs4fKiLonh5orFsv4ckoOs0/fliAv5MvsaOfw0qju/JBHUhNSSGFX/2bsj3bsA4Mo5sMBwohWqjzfQVtA1FRUSTu3Ut5WSnPjL2OJK0Oo8lU+7zGxwWstNQcy7ZglKKtKdU11JzKRdurbk/VN2fO4qzTMeJP86/On02gKDeFngPvbtb1jBU1HDWcoVs/B9zCnK58QDNllZzjye/n4WTtwD/HzEOv67gFdA0GA5HhYdjpbYkMD8MQF0dp/Pece3EW5Uk76XbHE7g98qIkV0KIFpMEq4UmeXlSUF3N9pzc2sdUWg1af3eMR85aMDLR1mpO5kCNCW3PugnWF6ezuNGzO1p13V+34wc+Qu/oS3f/a5p1vZPfncNYZqR3tLfZV7UZDAbCIsJw8nHmtjX3UVleybKxC3Gy7ri1ri7Wt7PPP8NTg/3pXZVHxdoXyV/7MtZB4Xg+929ZISiEMBtJsFoospszfezt+PhURp3Htf18qE7OQPmfni3RuVUnZaDSW6EJ+GMu1IGCQg4VFTHdz7dO2/KSc2SkfUGvQTNQNWMuU+GxUrJ+zcNvQndsXMw7sf1iIpJlnUvI/OEYVSb+87iBXzb/ZNbrtLXFixYy2t+dtZPDmRURwLJx/Ql2c2DRwXxc752NxqGbpUMUQnQikmC1kEql4i6/HsRlnqG8pqb2cd1AP5TSSmqO51gwOtGWqg+eQtvfF5Xmj1+rj09l4GKl44Y/TXA/mvgearWOngMbvxLPYDAQER6Bq6MbP768kyr7cnxGu5kt/osWxi7EY7gPQY9FoLOzQudohZ23A4sWLzL7tdpSaload4Z416k5tjH9LGt3HLBwZEKIzkgSLDO4y68HxUYj35z5Y0hQ26s7Klsrqg+dsmBkoq2YyioxHj2LbsAfFc1NisL/t3ff4VFV6QPHv5NJ7yEkkBBICCGVkEoRpATBBioSy6KCrl0sy+7+xIoobVdglRXFtgsqKKuYwQIWEAu9JSQEUgghDRJCes/MJHN+f6BZs1ICTirv53l4eDK5c99zz8nJvDnn3HPX5Z/gNh8frH81PWg01HL80AcMDL8La9u2rZ36ZVTJqtKOZTe9hZOVCzP/eQsbPttg9mvJKc5l0D3hrRIR13APMn6111t301RxmtU3j2Dy4L6t9hzbmldKSHDwBd4thBAXT+4iNIPBTo6M7OXGv3JyubX/mVu6NZZaLMN8MKTkYnfTsE4uoWhvxtR8MKlWCdbm4tMUNDQww7d/q2NzUtfSZKwjIPqBNp9/4YKFDPcbxbKpb6LRaFBK4e3qw6KFiy76kTrnU1RbzNBnR9FkbEYp1RKrMrWE4JDul4goo4GaH3XUbFlHbL9ePP7FHsoajYwf4M6P+WVszytF9+o7nV1MIUQPJCNYZjIrwJ/NxafJrKlpec06dhDN2cU0l1R3YslERzDsy0Lr54HW47+LwF8/lk2kq0ur3duNhloy96/AN/R27J3avr9SZmYmYwdNbDWqNNx3NBkZ5htVyq3K5/HNz+Dm1ouD87ZzZMleTnyVzZEleylPPc0Lz79gtljtTSlFw6FdnPr7Q1R/vQaHUZPxm7+GGYtfp76XD/84kEd9L5+L3nNMCCHaShIsM7nNpx8eNta8cex4y2vWUQPB2hLDvqxOLJlob6Z6PcaUPKxHBra8ll1by1dFxTwe4N/qrrRjSe/QZKglZOSfz3aqcwoJDmGId0Sr6a19eTsJNtP0VnpZFk9seRYnG0dW3/waH72zlgFW3hRuyGaAlXe3SkSMRbmUvvksZavmY+nhTZ85b+I69UEsbB2YNm0aB5IOUlffwIGkg93mmoQQ3Y9MEZqJjVbLg/4DeS0rm4VDQnG2smLDVxtRxUfxfCef2c/dz3MvzDXrdI7ofDqdjr0r1vHUgHFMfeExHmr4K9OmTWNldg5u1lZMH/Df6UFDYwVHE9/Cf+jMixq9Alg0Yxm2ea68vm0ZHo592Je3k/15u9G9qvvd15B06hDP/rSIga6+vDx+Ls42TufcaLcra66ppPrrNdTt/hpL9764P/AStqHDZdsFIUSnkBEsM3pk0ED0JhMrs4+3LErel59BmKs3EY2OxMfHo9P9/g9E0TX80sbXOw7iZF0FxqIK4uPjee/jj3k7O4eH/Adip9W2HJ++5xVQJoKGPXFRccoOV+NQ4E7DwAqOqSOs3r+S5l56s4wqbcn5iSd/eIkhHsG8ctV8nG2cftf5OoMyGqjZup5Ti+6l/uBPuNz0AH2efhu7sBGSXAkhOo1G/TLn0A0lJSURExNDYmIi0dHRnV0cAGYlJbO+4CQ+857HrVTP+gmPtCwUvmXrSmo87ThwMKmziynMICYyitB6e/55xXSAljY+6qyhatHfyZ18Db1tbACoLs3ku7VXETb6GYKGPdrmGPXFjaQsz8Y10JHgewaYLWFQSrEuTcfbyR9wrf8EnhzxKJYW3WtAW5lM1Cf9QPWm92muKsNx9GScrr0LrUP33QxVCNFzyAiWmT0dHEiV0Uh6RgYTvIJbLUq+3iec9Mzue6u7aC3jaCb3B41p+Vqj0XCVdwinjmdjv3M72zZtAs4kM8k/zsXBxZeAqPvbfP6mhmbSV+Vh42rF4Ok+ZkuumkxNvLr/bd5O/oCZQ27j6ZFPdKvkSilFY2YSp//xOBVrl2I9IJA+T7+Na/wsSa6EEF1G9/mt2k0MsLfnHj9fPvDux/dFGTwSEtcygmVhYSF77vQgUcFDGOTs2Wo7gy0n09B4+1CyZzfxrywjISGB4WGWlBRsZ9TUtWgtbdp0blOTifT38jDUNhE5OwBLW+2F39QGNfpa5u1YQnLxYZ4c8ShTAq42y3k7iiEvk6qNq9FnJWM9MBSPP72CzcDQzi6WEEL8hiRY7WBuaBDvxd/CD8te5patK7nKO4Qwt35M6hfKoD/c1tnFE2by6u2PYplawYM73ifKfQBbTqaxrSgT/m8ODBuBpraWFxe8xOKHTXgHXIfXwKvadF6lFMc+LaT6eD1DHvLDzqNtSdmFnKgp4pkfF1DRWMWyCS8S3XeoWc7bHnQ6HYsWzCcjM5PgoCAW/OVxRjQV0ZCyA8u+vrjfPw/bsJGyxkoI0WVJgtUO+tvb89TdM/k7ULb5G/525BuuGTqSd72mEegeeMH3i65P6Y0EFDRx0t+ZvCMmPkv8DI23z5nkavjIM8dERpH58YeYmgcRGfe3Np+74LsSTu+rIPAOH1wCHM1S3r2FSczfuQw3GxfeumYpPs7eZjlve/jl5oGxvh68NHoQPs7WDDnwCZW2TvS946/Yx05AY2GeET0hhGgvkmC1k6eCA/nX2LEMiY/n0MgzO7nXvvENjV8mYjMmBI2lfEB0Z41bU1H1ekLm3cWB+fcyePIUjt1zH/xyz4hScDARL08LjI43YufY5/wn/Nmp3eXkf13MgGs88Yz9/Q8fVkrx4ZEE/pWylhHe0Tw/+i84WZsnaWsvixbMJz6kH69OCmuZel2dks9XNbbseXlSZxdPCCHaRBa5txNHS0vi9Y2sKziBdewwIqKj2elQhamsBv329M4unvgdVKOBxq8PYnNlMFoPZ5pMJprvuRdyc2DxAtj4BSx8EVJTGRNhxS13L2nT9hwlBys59ulJvK50p//Vnr+7nLWGOuZtf5l3U9YwY8it/G38810+uWoqO8VdfRSv/JxcwZmbB5pMitRu/CxEIcTlRxKsdqLT6Xjj1njIzcH42J84ZKHl2j/+gWIfOxp0ezHV6zu7iOISNWxMRDUYsL0xFoBXs46Rh4aX/f2wPZaF5sMP8K04ypP3uHJTnAMRQbYsWjj/vOcsT6vm6IcFeMS44j/V65LWFul0OiKjI7GztyP62mHc8elDHDiVwsKxz3BfxJ1YaLpudzeWnKT8o1c4teg+Jvl78tHhk612rf8xv0xuEBFCdCsyRdhOXlq4EE1EJMrXDzQamPMMmkXzefy79/hk6J00fnEA+z+M7uxiiovUfLqKxm+Ssb0+Gm1vZ47V1vLC4XRmBwYwJyKcF2fcyfxHXAnxt255T2SQFZ9syTznOcvTa0h/Lx+3ECcG3+6DxuLSkqv4+Hh6hXsy+IkoHELcOZFTwGNBf2RM/5GXdK0dwViUS/WW/9BwcBsWTq643HAvB0qbeebN2/kqu1geyiyE6La67p+03dzRjAxUROSZ5ApAo0GNn8DO1CTspsTQuDmF5lOVnVlEcQnqP96JxtEWu8nRNCvFffuT8LKzZX5YCABXj/UjyM+q1ehLcqaRkOCgs56vPK2a9FV5uAU5Enz3ACy0l3ZX3PyF8+kd60XYnBG4hXug0WrI/zSTFX/756VdaDvT56RR+u48il9+GENOGq7xs/Ca+x5OcfFMvfU2EhIS5KHMQohuTUaw2klgcDCpKcmoyTecSbKUgiHhBERGYHtdFPptadS9/yNOc26SW827CUNyLsYDx3F4eBIaGyv+lpbBjtIyfhg/BgdLS+qqCphxnZFDGQa++LGBiEArkjONpGQ2otPN+835yo5Uk/HzyFXwzP5YWF763zuFzacJnBXZat2SS2hvMjZ0nXVLymSiMeMANd99guH4YSz7DMBt+l/O3BWobf2rqDs+C1EIIX5NRrDaybznn0elJKNZNP/MoufX/wlWVjj/5Umw0uJwTxxNaSfQ/3iks4sq2sBU10jd6h+wGuqL9chAdpaW8WJaBs+HBjPWozdNxnp2f3EP9o7uDJ2wHAu7ID7ZYkRrH3TW0ZfTBypIX51Hr1CnMyNXl5hcGZqNvJO8huAnY9GXNLQaOatMLSE4pPPXLakmA3V7vqV4ycOUvfMCNDfhft88+jz1Fg4jrv5NciWEED2B/GZrJ9OmTSMhIYH5ixaRuf4TgkKCmeTkwDIT/CsnlwfCB2IzLpT6/+zEKnwA2t7yiI+urP6jHaA34vDHOMoNBu7Yu5+RvdyYGxKEMjWz/5vHqK3KJe4PG3HpHUL8rTNbvV+n07FwwUIyMzN56KrHmTb4TvqMcCPgln5oLnFaMKv8OIt3Lye/+iSjrKJ5+bmX6DXEE9dwDypTSyhPPc2/dG+Z4/IvSXNtFXW7vqJ2xxeYqiuwHTISt1ufwNo/TEZthRA9noxgtaNp06aRnJhIQ30dyYmJLI2/mYf8/Xjs4CF2l5VhP/1KLOxtqPv39yiTqbOLK87BkJSDYUcG9ndcSbOrPbft2U9dUzMfjhiGVqPh4A/PUpS9meHXvYlL75DfvP+XBejWlfa8etO7TBt8J2v3/5tUy32XlFw1mZp4P/VjHvrm/9Cg4a1rlvL3218k4dMEBlh5U7ghmwFW3u2+bkmn0xETFYmDvR0xUZEtW1EYi3Kp+M9yil6aQfWWddiFjaTPM+/S+/4XsRk0RJIrIcRlQaN+mVPohpKSkoiJiSExMZHo6OjOLk6bGEwmrvppB1k1tRyYGEefvDJqXv4c25tisb95RGcXT/yP5pJqql/4GMtgbxyfuJ4/JR/izewctowdzXhPD9L3vELa7qVET/oHA4fccdZzREdFY1ftzN9vfK1l48y/bniY5l56EpMSL6o86WVZLNmzgryqAqaHTuPu8D9grbUyx6VelF/vtj5uQC+2F5Rjq9Ww7K7JuFQWYuHijuOVN+BwxXVoHV06vHxCCNHZZIqwg1lbWJBwxQhiv/uBqbv2sG38GOxuHk7Dhr1YBXhhFT6gs4sofqaMzdS+8Q0aBxsc7r+Kf+fkseLYcVZGRzDe04Ps5NWk7V5K2KinzplcAZzOL+GNW5a1WoA+3Hc0q/evbHNZGpoaWZXyEZ9mfskgVz/eunYZgb0G/e5rvFSLFsxnrK8Ha2+KQqPR8ECULxqNhvS8XAY+Nhe7yDGytkoIcVmTKcJO4Glrw+ejR5JRXcOtu/ehnRyN1ZAB1L69meayms4unvhZ/bodNBeU4vjotWyqquDhpGQeGTSQRwb5k53yHsk/PEtA9IMEDf/TOc9Rk1/PytvXYGnReuuGfXk7CW7DxplKKbYV7ObuLx/js6yveTByRqcnV0opHKtO8dLYwFZJY0J6IVM/3o19TJwkV0KIy578FuwkUW6ubBg9ksnbd3Ff4kFWPziR2pfWU/vKRpyfj0djZ33hk4h207g5Bf3WVOzvGc9uRwtu27abm7y9WBEVcSa5+v4ZAqIeYOjYF8+5pujU7nKydYU4edhz+ys34ufuz3Df0ezL28n+vN3oXj3/43NO1hTx2oF32VOYyBXesTwR+wDeTn3b43LbpLm2ivoDW6nb/Q0f3hhJYU0jSqmWac+EzCLZbV0IIX4mCVYnmtTHk7UjYvnDnv30srbmH3+eTM0iHbVvfIPj7MnyQOhOYkg6Tv1H27G9NpLMqP7c8ON2rnDvxYcjYslOepvUbS+dSa7GvXTW5KrZYOL4hkKK91bQ94pe+N8cylsRK1m0cBGr968kODgY3avnXoBeb6xn7eFP+STjc3rZurFo7LOM9hneKYvDlcmEPiuZuj3f0nBoF6CwCx9Fqmc4V9//BGN8e8tu60IIcRaSYHWy2/r7UG4w8khSMhoNLHnsWqqXfsHnU2fz0Pf/JjgwiOdemCubLrYznU7HovkLsCmpY33cI9T6OFF3dRiTftpOgKMDG0YN5+jORWQlvknQsMcJG/3MWROeuqJGMtfk01hqIOD2fvQd0Qto28aZJmXim+Pf827yWmqNddwRFs/00GnYWdq2yzWfT1NpEXX7tlC//zuaK05j6dkflyn3YD9sIlpHFyYBCW79WLxwAf84kEFIcDC6V9+R3daFEOJnkmB1AQ8PGgjAI0nJpOcep9f2T3jjyhlsnPA4C5K/JD4+noSEBEmy2skvd8TdGzSGBXEzyaspY8Kyp7BQxxly9dV8PWo4R79/kvz09USMX0BA1P2/OYdSilO7ysn5vAjb3tZE/DkAB6+zJ0Y6nY75C+eTmZFJUHAQc5+bS/8rBvJ28gccq8jhKt+xPBQ1kz4OHu196a2Y6mupT9lO/f6tGI4fRmNrj33UOOxHXI21b/BvEkrZbV0IIc5NtmnoQlbl5PLghAmMMdjw6VWzWta23LJ1JTWedhw4mNTZReyRYiKjGNroyLLht7XU+bStK0m0MZBzcCdpm2dRVniAYde+Rv+gqb95v77SyLFPT1KRVoPX6F743eCF1vrs94/8+qHMruEeNJbU4x7bF7cwD8I9Qnk4aiZDPH67l1Z7UU0GGtMTqU/8nobDe6C5GZvASByGTcR26CgsrDt+9EwIIXoCGcHqQu4d6MesU0VcNeS6VndnPR85hRt/eKOTS9eDFVexcMKMVnU+yTuEHYmf8c9nrmTkUFvG3rKe3v1a71OmlOL0gUqOf1aIhaUFIff54h52/h355y+cT69wT8LmjGiJ11haT/1nJaz4ZLHZ11npdDoWLZhPRmYmwUFBPDf3BW6eehP6Y6nUJ/1AQ8pOVEMtVt4DcZl8D/bR49G6uJu1DEIIcTmSBKuLCQsKZmthBo+ExLWMpkT19uXdq+5HNTXLwnczM6af4LOrHqOwrhJ/J4+WOt9SmI7G1o61G4t59u/p2Dv7tHpfY7mBbF0hFWk1eMS44j/VCyuHC3en/OqTDHp4aKtEqnRfEYWbstslufplM9D/i/XlVF016SueJ3L3GqyNDWjdvXC8cgr20eOx8vIza2whhLjcyRRhF/PLh+J472Cu8g5hS2E6njaOvD76LrYVZ7GsbB9PPfe0rH0xA/3eLOre2UKpqyUxrz1BtOdAJv1c59sKM2B8HJrt2zA1NbW8x9RkovCnMvI3F2PpYMmgad64D7nwcyTTSjP58EgCO07sxVDZiJWLTUsyd2TJXgZYeXMw8aBZr294dCSx2hqeGRXQkryV1hvYUWbkgX+8i7VvkDy2Rggh2omMYHUxvzwkevGChSw+/A0WXl7UTR1PaVU+73sN5m8u7syYcV/LseLiKaVo/CqJhvW7aYz15zZ/K2qNj7DzwzXsOJSDpl8/+Osc2Pw1/CoBqTxay/HPCqk/rcd7TG8GXOOJpe25RxSVUhw4lcy6NB2Jpw4xwLkfk6xG88KfnsYt1KNdHsps0jeiz0ykIXU3q4a742rbet8sXUYh/ziQx2MJsl+VEEK0J0mwuqBf3501NDaWVI2GH6+9kilVBtYcsOaHqc/yt+WrJMG6BKrBQO2/vsN44Dg544OY4NKAl8aS0QU/srO8DM3QoZgio9Fs+QaVmoq1jTWfr/2SgMZwKtJqcPKzJ/LPATj2sztnDH2zge9yt7E+/XNyqvIJ7DWI+WOe4kqfEWgttIRaBrBg0QIyNmQQHBLMv3Rv/a7tDZqrymhM20fD4T00Hj0IRgOWfQawuVhPyvFjLBwf3DJa9mN+mWwGKoQQHUASrC4uKy0NwsIBSHWxZsIYD97dXMESv6tp2JSE7XVRaCxkmqctmk+WU7Pia0yVtbx7XSBPa2u52d2JP55YjmFsMdoCW/anp6FPO4y1lYZG4Nahd+Gyvx+l9uWEzvSnd4TLOafViutK+DLrWzZmb6aysZpRPsOYPewhIjzDWr3n925voEzNGPKzaEzbR2PaXownskFjgbV/GC7X343dkCuw9PDGT6fjr/Hx5FTVy2agQgjRwSTB6uICg4NJTUlGTb4BNBrKrSy4LXk9y/sN445PLDAeKcDhvglo3Z06u6hdljIp9N8dov6TXTS4OXDbuL4csdGzyOEkQclLsHEdyOjpm9D45jBz5l1oTHoGOAdw98SHGTNoApuObOCH8q/Z+7c9vzm3SZk4UJTM51nfsOvkfuwsbbl6YBy3BE3Bx9nbbNfQXFVGY0YijRmJ6DOTMNXXoLF3xDY4Fqe4W7AJjkHr0HotWMt0s2wGKoQQHU4WuXdxvyx61wyNQEVGoUk+iDqUgk6nY0pADLX/3gp6I/YzxmF9RaAsWv4fzWU11P1rK01pJ/gpvC93+miIddFw74l/4tKQT9Cwxwga9ihaS1sM1Ub+cuMzxEfcgZXWquUc/0n8gNX7V1JXX9fyWlFtMd8c/56vs7dSXF/CIFc/pgZex0S/cdhbnXv68NfOtoXCLyNbpsY69MdS0R89SOPRgzSdygeNBqv+g7ENjsU2OObM5p9auatUCCG6IkmwugGdTsf8RYvITM8gKCSYec8/3zIKYaprpH7NNgy7j2IV6Yf9nWPQerp0cok7n2o2od+aSr1uL3WWFjwU7sw+T2vuNWxjeOE6fAImEz5uHg7O/Wko1XPyx1KK91XQ0FjPruPbiBt8dcu6pT/rHqTSspTk9BS2Fezmu9yfSDqViq2lDRN8xzA5YBKh7heX3P56C4VxA3qx52QlhqYmljxxH76aRownssBkQuvmiW1QNDaBkdgERqF1lLYVQojuQBKsHsJwIJv6D7djqmnAdnI0dpNj0FhfnjPAxsxC6tf8RNOJMj4f5MpfBtkRZ32cm068RX+PAMLHPI9H/yupyqqjcEcZ5UeqsXKwxHusOwfKdzHt9puJ6T+CkQPHsCd3O4n5e+l3vT+Bd0RgwkREnzCuGRjH+AGj2zxa9b/GD4siWlvLn0f4tyRyGo2GCkMz3iMmYBMwFNvAKLS9vWRUUgghuiFJsHoQpTfS8MUBGr8+iIWbA3Y3D8f6iiA02rM/tqWnaS6soGHDXgz7jpHhbsejIY5YulVw26lVRDjZEjbqKTy8rqb0YBVFO8tpOK3Hvq8NXle64xnr1vJ4G7/BAzlddhpjnQF7byd8bgrAwdcZTYaBL1/V4Wnf+6LKpUzNNBUXoM9Nx5CThiE3nabTJ35z3CdpJ5m74xh19Q1mqQ8hhBCd5/Ic4uihNDZW2N96BTZjgqlfv5u6d7fSsDERu5tHsOnEIRYtWEjG0UyCA4N47oW53Xabhzlz5vDmGyupb6jH3s6epx96nCeCJ2DYlUmJnRULhrpysF8tt5WvZHSDlsAJc3BkIiW7q8lNzUQphXu4MwG3eOM8yAGNRsPpuhJ25u5n14n99H8uDF+roa1invgqm8IN2Xi+ff7kSilFc3kxhhPHMORlYszPxFCQhdI3gMYCq34DsQmM4uWfDpOff4LlV4e1jGB9dvSUbKEghBA9hCRYPZC2rxtOj19PU85pGnR7qVv5Ld6Vp7jVJgCGDGJzYRrx8fEkJCR0uyRrzpw5LF26lHFeQdwRPQJPOxeuKOnLyfIj/CPUnQPeZVxbk8CDWmd8op5CFUZw6uNqjDUF2Pe1wXdyHzxjXDHZmUg5fYT9SQc5UJRCTlUeWo2WCM8w9DuqyMvMI+ihyJbkp+LQaYJDWic/ytRMU0khxpPZGE8ex3DiGMYTxzDVVQOgde2N9YAgnCZNx9o3COv+g7GwtQdgjIUX8fHxlDToZQsFIYTogWSK8DIwY9Q1THcJZYTHf9f7PLprLcecjBw4mNTZxbsobvZOzAoax1/Cr2m5llVHd7CwYBfPvxDIGPcoHI2Tqc/si6G6CWtXK3pHOOMy1IFc2zxSSg6TUnyEtNJMDCYjHvbuxPaNZLhXFMO8o3CydmxJ4lzDetMrog/lKcVUHill3qx7+eutkzEW5WIsyqWpKA9l1ANnkimrfoOw7h+IVf8ArPsPRuvc67zXotPpWLxwAekZZ7ZQeG7uC7KFghBC9BCSYF0GHOzteSbsWmaFTmj1+v7SXMb99R6shwdg4WjbSaW7MGVSGDNPUvTjYUzbUnGxbr2wfGXa98xL/Iyf5uwFgy02vaywDbSkpH8xRyzTSSvL5GjFcZpMTThbOzHUM5SoPuHEekXi6+zTsohcGQ00lRXxp7tuo/Z0EYmnq8gur2NQLwdmx/pzXUAfNFY2WPYdgFVfX6z6+WPl7Y9VP//f7EElhBDi8iZThJeB4MAgvi/K4JGQuJZRn+WHt3ClXyj1H/xE/dptWAb3wzrSD6sIX7R9XDu7yCi9kapDuZzck4F9+klc6poot9OSUJjM8ZPHWTHqjpZr2XLyCBqNhqKwUg47HSbJkEK1sQaOQz/HvoT2DuLqgeMZ6hnKAAsnTBWlNFecpmn/LirLTtFUWkRTaSHNlSWgFM8OccPQ7IL1r24O+Db7NJP+s5e0wlI0FrL3lBBCiPPr0NvLsrKyGDVqFIGBgQwfPpy0tLTfdZxom+demMsPJ9O5ZetKVqZ9zy1bV7Lw4JfUzxiB6/J7sJ8+GjRQ//FOquaspfKptdSt+h79tjSaCyto6yCnTqfDxsoKrYUFVhZatBoLXF1d2/Te5tpGCvZmsPedz9j/9LsUP/w2pte/pS79BBt6K16MLGZTYAbr8zaxLnsP0757nZVp3zPtu9fZVnQUkzLxif0n6G3KudEtnBd6T2KN47W8XhPAQ8nFXPGpDptFT1A87y5Kls+m/P3F1Gxdj+HEMSwcnLCPHo/b7X/C4/Gl3L3rNH/84mDLdSuleP9QAQ7efmZPrnQ6HRFRMdjZOxARFYNOpzPr+TsqRkfF6SkxOipOT4nRUXF6SoyOitNTYrQb1YHi4uLU6tWrlVJKrV+/Xo0cOfJ3HZeYmKgAlZiY2B7F7VESEhJUTGSUsrezUzGRUUqn0/3mGFODXukTs1Xt6h9U5XMfqbK7V6iymStU+SPvqKqFn6raf29V9V8nKX1yjjLmlajmqnplaja1nB9Q47yC1ILYm9V4r2AFKEC5uLgopZTS1zWo/KzjKvHHnWrz6k/Vl4vfVd89+YZKefhMnLKZK1Tm/W+oj/9vpfr7/JfV3KVz1b8XLFafzH1HvbZglXrylUXK3y9QAcpKq1UWGo2y0moVoLQWFqrgT9f8999fJqvCF2eo4uV/VqXvLVYVG95W1T9uUPWHdil9wTHVXFd9zrp68sknFaBG93dXc8cEqdH93RWg5syZY/Y2AZQmbJLi1iVn/geVkJDQrWJ0VJyeEqOj4vSUGB0Vp6fE6Kg4PSVGe+qwNVinT58mMDCQ0tJSLC0tUUrh5eXFnj178PPzu+jjQNZgtTdTvZ7m48U0ZRfTXFhOc2EFzacqwdD034O0Fmic7Mg/dZJmYxO+ju4tU3fHa0poViZsrG3p5eiKU3Pr85+wtSDfwUSJrZFKWwP11nqsMGGBlkZtAyaLIuxMpbgZTfQ2avDEgWnLv6C4shFHW3v0Rj02VjbUNtZjb23Jnu17MDn2wuTohrJzAs2lDdDePv1OjhWVoa0pRp3KRNM3iGanPgz2duc/H3146RV6tjhNLjD9n6DRgFLw0RMMtq42W5yOiNFRcXpKjI6K01NidFScnhKjo+J0VgzNPycz1KaC5KQDZonRnjoswUpMTGTGjBmtpvuGDx/OsmXLGDt27EUfB/9NsMaMGYOrqyvTp09n+vTp7X8xlzFlUpjKa1CV9Zgq6zBV1WOqqmf5kmWM8vBnaK/+LcceLj/BruJsGkxGvK8fhd7ChN6yGb2Fol6roRF7arXW1GksMSon9BpXGnCmzsKWegs7qrX21Fg4UKO1o1FjAxoNFs8MxlSWh7WdDc3GJrRWlhga9Fj09sO0+Ggn1owQQoh2t2U5thtfpOFXz4btqjp0kfv/PvLjXLldW4/7xfLly2UEq4NoLDRoeztD79Z3zSXMP8bmxFQSJj7aMoI1L/EzDpblU9ukZ983G8wSf/Lr/TlVloeVasakFFaqGQPQp58PG282z4/zOf8ys6nmPx92wF+ZZowj19L1YnRUnJ4So6Pi9JQYHRWns2JojmwmKCTELOdvdx01F1lcXKycnZ2V0WhUSillMplUnz59VE5OziUdp5SswepKfpkrH9s3UC2IvVmN8wpqWYPl6upq9jhaOydlobVSWjsnBZx1TdnvjaEJnXhm3j90otljdFQcuZauF6Oj4vSUGB0Vp6fE6Kg4PSVGe+rQRe7jxo1rtXh9xIgRv+s4SbC6loSEBGVtaaUsNBplqbFQFhqNWZOrX8eJiIpRtnb2KiIqpl06W0fE6Kg4ci1dL0ZHxekpMToqTk+J0VFxekqM9tKhG41mZmZyzz33UFZWhrOzM++//z5hYWEAXH/99cyfP5/Y2NjzHvdrsshdCCGEEF2R7OQuhBBCCGFmHbrRqBBCCCHE5UASLCGEEEIIM5MESwghhBDCzCTBEkIIIYQwM0mwhBBCCCHMTBIsIYQQQggzkwRLCCGEEMLMJMESQgghhDAzSbCEEEIIIcxMEiwhhBBCCDOTBEsIIYQQwswkwRLtYt26dZ1dBPE/pE26JmmXrkfapOvpjm0iCZZoF92xM/R00iZdk7RL1yNt0vV0xzax7OwC/B4NDQ0ApKend3JJxP+qrKwkKSmps4shfkXapGuSdul6pE26nu7SJsHBwdjb2wOgUUqpTi7PJfvwww+56667OrsYQgghhBAkJiYSHR0NdPMEq7S0lG+//RY/Pz/s7Ow6uzhCCCGEuIz1mBEsIYQQQoiuSBa5CyGEEEKYmSRYQgghhBBmJgmWEEIIIYSZSYIlhBBCCGFm3SbBysrKYtSoUQQGBjJ8+HDS0tJ+c0xjYyNTp04lMDCQyMhIrr32WnJzc1u+7+fnR3BwMJGRkURGRvLxxx934BV0f21pgwsd19ZziLa7UJ1eqF+A9A1za+vP+fnqXfqK+V2oTisrK1vaIjIyksDAQCwtLSkvLwekn7SHJ554Aj8/PzQaDYcPHz7ncd3yc0V1E3FxcWr16tVKKaXWr1+vRo4c+ZtjGhoa1KZNm5TJZFJKKbVixQo1adKklu/7+vqq1NTUDilvT9SWNrjQcW09h2i7C9XphfqFUtI3zK2tP+fnq3fpK+Z3sXW6dOlSNWXKlJavpZ+Y308//aQKCgouWLfd8XOlWyRYxcXFysXFRRmNRqWUUiaTSfXp00fl5OSc93379+9XgwYNavlaOsela2sbnO+4S21HcW6XUqf/2y+Ukr5hThfTJueqd+kr5ncpdRoaGqo2bNjQ8rX0k/Zzvrrtrp8r3WKKsKCgAG9vbywtzzzZR6PRMGDAAPLz88/7vtdee40bbrih1Wt33nkn4eHh3H///ZSUlLRbmXuatrbB+Y671HYU53YpdXq2fgHSN8zlYtvkbPUufcX8LrZOd+/eTVlZGVOmTGn1uvSTjtddP1e6RII1ZswYevfufdZ/BQUFwJlK+zV1gf1RFy9eTFZWFosWLWp5bdu2baSkpJCUlIS7uzt33323+S+mB2trG5zvuIttR3FhF1OnZ+sXIH3D3NraJuerd+kr5ncxdbpq1SpmzpzZ8sEN0k86U7f8XOmsobOLUVxcrJydnds8BLh06VIVExOjKioqznnOwsJC5ejo2A6l7Zna2gbnO+5i21Fc2MXUaVv6hVLSN36vS/05/3W9S18xv4up09raWuXk5KTS09PPeT7pJ+Z1oSnC7vi50iVGsC7E09OTqKgo1q5dC0BCQgJ+fn74+fn95thXXnmFdevWsWXLFlxdXVter6uro7KysuXrdevWERUV1c4l7zna2gbnO+5i2lG0TVvr9Fz9AqRvmFtb2+R89S59xfwupk7Xr1/P0KFDCQ4ObnlN+knn6bafK52d4bVVRkaGGjlypBo8eLCKiYlRhw8fbvneddddp/bv368KCgoUoPz9/VVERISKiIhQw4cPV0oplZ2drSIjI1V4eLgaMmSIuvHGG7tEhtudtKUNLnTc+b4nLs2F2mX79u3n7BdKSd9oD23pKxeqd+kr5tfW32FXXnmlWrVqVav3Sj9pH7NmzVL9+vVTWq1W9enTp9UNON39c0Ue9iyEEEIIYWbdYopQCCGEEKI7kQRLCCGEEMLMJMESQgghhDAzSbCEEEIIIcxMEiwhhBBCCDOTBEsIIYQQwswkwRJCCCGEMDNJsIQQl71vv/0WBwcHGhsbee+999BoNJSWlnZ2sYQQ3ZgkWEKIy97GjRuZOHEitra2nV0UIUQPIQmWEOKyt2nTJqZMmdLZxRBC9CCSYAkheqTq6mp8fX259dZbW73+6KOP4ubmxokTJwA4cuQIubm5TJ48uTOKKYTooSTBEkL0SM7Ozrz33nskJCSwZs0a4Mxaq5UrV7Jy5Up8fHwA+PLLL4mOjsbb27sziyuE6GEsO7sAQgjRXuLi4pg9ezaPP/444eHh3Hvvvdx+++1Mnz695ZiNGzfK9KAQwuxkBEsI0aMtXryYfv36MXLkSADefPPNlu+VlZWxZ88ebrjhhs4qnhCih5IESwjRo9na2jJt2jT0ej133nknbm5uLd/76quv8PT0JDo6uhNLKIToiSTBEkL0aIcPH2bp0qVERUWxYsUK0tLSWr63ceNGJk+ejEaj6cQSCiF6IkmwhBA9lsFgYMaMGcTGxrJnzx7Cw8OZMWMGRqORpqYmvv32W5keFEK0C1nkLoTosebNm0dWVhYpKSlYW1uzZs0aoqKimD9/PnFxcej1eiZOnHjW93755Zc4OTm1ei00NJTQ0NCOKLoQopuTBEsI0SPt2rWLJUuWsHLlSgYNGgRAUFAQS5YsYfbs2ezYsYO4uDjs7e3P+v577733N6/NmzePF198sT2LLYToITRKKdXZhRBCiI4WGBjI7NmzmTVrVmcXRQjRA0mCJYQQQghhZrLIXQghhBDCzCTBEkIIIYQwM0mwhBBCCCHMTBIsIYQQQggzkwRLCCGEEMLMJMESQgghhDAzSbCEEEIIIczs/wHas3RT2VOsJAAAAABJRU5ErkJggg==\" />" ], "image/svg+xml": [ "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n", "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n", " \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n", "<svg xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"432pt\" height=\"288pt\" viewBox=\"0 0 432 288\" xmlns=\"http://www.w3.org/2000/svg\" version=\"1.1\">\n", " <metadata>\n", " <rdf:RDF xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n", " <cc:Work>\n", " <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n", " <dc:date>2023-04-05T00:49:22.268330</dc:date>\n", " <dc:format>image/svg+xml</dc:format>\n", " <dc:creator>\n", " <cc:Agent>\n", " <dc:title>Matplotlib v3.7.1, https://matplotlib.org/</dc:title>\n", " </cc:Agent>\n", " </dc:creator>\n", " </cc:Work>\n", " </rdf:RDF>\n", " </metadata>\n", " <defs>\n", " <style type=\"text/css\">*{stroke-linejoin: round; stroke-linecap: butt}</style>\n", " </defs>\n", " <g id=\"figure_1\">\n", " <g id=\"patch_1\">\n", " <path d=\"M 0 288 \n", "L 432 288 \n", "L 432 0 \n", "L 0 0 \n", "z\n", "\" style=\"fill: #ffffff\"/>\n", " </g>\n", " <g id=\"axes_1\">\n", " <g id=\"patch_2\">\n", " <path d=\"M 34.763856 256.493435 \n", "L 429.165354 256.493435 \n", "L 429.165354 8.166565 \n", "L 34.763856 8.166565 \n", "z\n", "\" style=\"fill: #ffffff\"/>\n", " </g>\n", " <g id=\"matplotlib.axis_1\">\n", " <g id=\"xtick_1\">\n", " <g id=\"line2d_1\">\n", " <defs>\n", " <path id=\"m11453868e0\" d=\"M 0 0 \n", "L 0 -2.5 \n", "\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </defs>\n", " <g>\n", " <use xlink:href=\"#m11453868e0\" x=\"34.763856\" y=\"256.493435\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_1\">\n", " <!-- $-0.25$ -->\n", " <g transform=\"translate(22.723856 266.072185) scale(0.08 -0.08)\">\n", " <defs>\n", " <path id=\"DejaVuSans-2212\" d=\"M 678 2272 \n", "L 4684 2272 \n", "L 4684 1741 \n", "L 678 1741 \n", "L 678 2272 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-30\" d=\"M 2034 4250 \n", "Q 1547 4250 1301 3770 \n", "Q 1056 3291 1056 2328 \n", "Q 1056 1369 1301 889 \n", "Q 1547 409 2034 409 \n", "Q 2525 409 2770 889 \n", "Q 3016 1369 3016 2328 \n", "Q 3016 3291 2770 3770 \n", "Q 2525 4250 2034 4250 \n", "z\n", "M 2034 4750 \n", "Q 2819 4750 3233 4129 \n", "Q 3647 3509 3647 2328 \n", "Q 3647 1150 3233 529 \n", "Q 2819 -91 2034 -91 \n", "Q 1250 -91 836 529 \n", "Q 422 1150 422 2328 \n", "Q 422 3509 836 4129 \n", "Q 1250 4750 2034 4750 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-2e\" d=\"M 684 794 \n", "L 1344 794 \n", "L 1344 0 \n", "L 684 0 \n", "L 684 794 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-32\" d=\"M 1228 531 \n", "L 3431 531 \n", "L 3431 0 \n", "L 469 0 \n", "L 469 531 \n", "Q 828 903 1448 1529 \n", "Q 2069 2156 2228 2338 \n", "Q 2531 2678 2651 2914 \n", "Q 2772 3150 2772 3378 \n", "Q 2772 3750 2511 3984 \n", "Q 2250 4219 1831 4219 \n", "Q 1534 4219 1204 4116 \n", "Q 875 4013 500 3803 \n", "L 500 4441 \n", "Q 881 4594 1212 4672 \n", "Q 1544 4750 1819 4750 \n", "Q 2544 4750 2975 4387 \n", "Q 3406 4025 3406 3419 \n", "Q 3406 3131 3298 2873 \n", "Q 3191 2616 2906 2266 \n", "Q 2828 2175 2409 1742 \n", "Q 1991 1309 1228 531 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-35\" d=\"M 691 4666 \n", "L 3169 4666 \n", "L 3169 4134 \n", "L 1269 4134 \n", "L 1269 2991 \n", "Q 1406 3038 1543 3061 \n", "Q 1681 3084 1819 3084 \n", "Q 2600 3084 3056 2656 \n", "Q 3513 2228 3513 1497 \n", "Q 3513 744 3044 326 \n", "Q 2575 -91 1722 -91 \n", "Q 1428 -91 1123 -41 \n", "Q 819 9 494 109 \n", "L 494 744 \n", "Q 775 591 1075 516 \n", "Q 1375 441 1709 441 \n", "Q 2250 441 2565 725 \n", "Q 2881 1009 2881 1497 \n", "Q 2881 1984 2565 2268 \n", "Q 2250 2553 1709 2553 \n", "Q 1456 2553 1204 2497 \n", "Q 953 2441 691 2322 \n", "L 691 4666 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " </defs>\n", " <use xlink:href=\"#DejaVuSans-2212\" transform=\"translate(0 0.78125)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(83.789062 0.78125)\"/>\n", " <use xlink:href=\"#DejaVuSans-2e\" transform=\"translate(147.412109 0.78125)\"/>\n", " <use xlink:href=\"#DejaVuSans-32\" transform=\"translate(173.699219 0.78125)\"/>\n", " <use xlink:href=\"#DejaVuSans-35\" transform=\"translate(237.322266 0.78125)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"xtick_2\">\n", " <g id=\"line2d_2\">\n", " <g>\n", " <use xlink:href=\"#m11453868e0\" x=\"107.80117\" y=\"256.493435\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_2\">\n", " <!-- $0.00$ -->\n", " <g transform=\"translate(98.88117 266.072185) scale(0.08 -0.08)\">\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(0 0.78125)\"/>\n", " <use xlink:href=\"#DejaVuSans-2e\" transform=\"translate(63.623047 0.78125)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(95.410156 0.78125)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(159.033203 0.78125)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"xtick_3\">\n", " <g id=\"line2d_3\">\n", " <g>\n", " <use xlink:href=\"#m11453868e0\" x=\"180.838485\" y=\"256.493435\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_3\">\n", " <!-- $0.25$ -->\n", " <g transform=\"translate(172.118485 266.072185) scale(0.08 -0.08)\">\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(0 0.78125)\"/>\n", " <use xlink:href=\"#DejaVuSans-2e\" transform=\"translate(63.623047 0.78125)\"/>\n", " <use xlink:href=\"#DejaVuSans-32\" transform=\"translate(89.910156 0.78125)\"/>\n", " <use xlink:href=\"#DejaVuSans-35\" transform=\"translate(153.533203 0.78125)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"xtick_4\">\n", " <g id=\"line2d_4\">\n", " <g>\n", " <use xlink:href=\"#m11453868e0\" x=\"253.875799\" y=\"256.493435\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_4\">\n", " <!-- $0.50$ -->\n", " <g transform=\"translate(244.955799 266.072185) scale(0.08 -0.08)\">\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(0 0.78125)\"/>\n", " <use xlink:href=\"#DejaVuSans-2e\" transform=\"translate(63.623047 0.78125)\"/>\n", " <use xlink:href=\"#DejaVuSans-35\" transform=\"translate(95.410156 0.78125)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(159.033203 0.78125)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"xtick_5\">\n", " <g id=\"line2d_5\">\n", " <g>\n", " <use xlink:href=\"#m11453868e0\" x=\"326.913114\" y=\"256.493435\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_5\">\n", " <!-- $0.75$ -->\n", " <g transform=\"translate(318.313114 266.072185) scale(0.08 -0.08)\">\n", " <defs>\n", " <path id=\"DejaVuSans-37\" d=\"M 525 4666 \n", "L 3525 4666 \n", "L 3525 4397 \n", "L 1831 0 \n", "L 1172 0 \n", "L 2766 4134 \n", "L 525 4134 \n", "L 525 4666 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " </defs>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(0 0.78125)\"/>\n", " <use xlink:href=\"#DejaVuSans-2e\" transform=\"translate(63.623047 0.78125)\"/>\n", " <use xlink:href=\"#DejaVuSans-37\" transform=\"translate(87.660156 0.78125)\"/>\n", " <use xlink:href=\"#DejaVuSans-35\" transform=\"translate(151.283203 0.78125)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"xtick_6\">\n", " <g id=\"line2d_6\">\n", " <g>\n", " <use xlink:href=\"#m11453868e0\" x=\"399.950429\" y=\"256.493435\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_6\">\n", " <!-- $1.00$ -->\n", " <g transform=\"translate(391.030429 266.072185) scale(0.08 -0.08)\">\n", " <defs>\n", " <path id=\"DejaVuSans-31\" d=\"M 794 531 \n", "L 1825 531 \n", "L 1825 4091 \n", "L 703 3866 \n", "L 703 4441 \n", "L 1819 4666 \n", "L 2450 4666 \n", "L 2450 531 \n", "L 3481 531 \n", "L 3481 0 \n", "L 794 0 \n", "L 794 531 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " </defs>\n", " <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.78125)\"/>\n", " <use xlink:href=\"#DejaVuSans-2e\" transform=\"translate(63.623047 0.78125)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(95.410156 0.78125)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(159.033203 0.78125)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"text_7\">\n", " <!-- x/L -->\n", " <g transform=\"translate(223.791949 280.094216) scale(0.11 -0.11)\">\n", " <defs>\n", " <path id=\"DejaVuSans-78\" d=\"M 3513 3500 \n", "L 2247 1797 \n", "L 3578 0 \n", "L 2900 0 \n", "L 1881 1375 \n", "L 863 0 \n", "L 184 0 \n", "L 1544 1831 \n", "L 300 3500 \n", "L 978 3500 \n", "L 1906 2253 \n", "L 2834 3500 \n", "L 3513 3500 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-2f\" d=\"M 1625 4666 \n", "L 2156 4666 \n", "L 531 -594 \n", "L 0 -594 \n", "L 1625 4666 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-4c\" d=\"M 628 4666 \n", "L 1259 4666 \n", "L 1259 531 \n", "L 3531 531 \n", "L 3531 0 \n", "L 628 0 \n", "L 628 4666 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " </defs>\n", " <use xlink:href=\"#DejaVuSans-78\"/>\n", " <use xlink:href=\"#DejaVuSans-2f\" x=\"59.179688\"/>\n", " <use xlink:href=\"#DejaVuSans-4c\" x=\"92.871094\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"matplotlib.axis_2\">\n", " <g id=\"ytick_1\">\n", " <g id=\"line2d_7\">\n", " <defs>\n", " <path id=\"m0896003464\" d=\"M 0 0 \n", "L 2.5 0 \n", "\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </defs>\n", " <g>\n", " <use xlink:href=\"#m0896003464\" x=\"34.763856\" y=\"241.885972\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_8\">\n", " <!-- $0.0$ -->\n", " <g transform=\"translate(18.463856 244.925347) scale(0.08 -0.08)\">\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(0 0.78125)\"/>\n", " <use xlink:href=\"#DejaVuSans-2e\" transform=\"translate(63.623047 0.78125)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(95.410156 0.78125)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"ytick_2\">\n", " <g id=\"line2d_8\">\n", " <g>\n", " <use xlink:href=\"#m0896003464\" x=\"34.763856\" y=\"183.45612\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_9\">\n", " <!-- $0.2$ -->\n", " <g transform=\"translate(18.943856 186.495495) scale(0.08 -0.08)\">\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(0 0.78125)\"/>\n", " <use xlink:href=\"#DejaVuSans-2e\" transform=\"translate(63.623047 0.78125)\"/>\n", " <use xlink:href=\"#DejaVuSans-32\" transform=\"translate(89.910156 0.78125)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"ytick_3\">\n", " <g id=\"line2d_9\">\n", " <g>\n", " <use xlink:href=\"#m0896003464\" x=\"34.763856\" y=\"125.026269\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_10\">\n", " <!-- $0.4$ -->\n", " <g transform=\"translate(18.463856 128.065644) scale(0.08 -0.08)\">\n", " <defs>\n", " <path id=\"DejaVuSans-34\" d=\"M 2419 4116 \n", "L 825 1625 \n", "L 2419 1625 \n", "L 2419 4116 \n", "z\n", "M 2253 4666 \n", "L 3047 4666 \n", "L 3047 1625 \n", "L 3713 1625 \n", "L 3713 1100 \n", "L 3047 1100 \n", "L 3047 0 \n", "L 2419 0 \n", "L 2419 1100 \n", "L 313 1100 \n", "L 313 1709 \n", "L 2253 4666 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " </defs>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(0 0.78125)\"/>\n", " <use xlink:href=\"#DejaVuSans-2e\" transform=\"translate(63.623047 0.78125)\"/>\n", " <use xlink:href=\"#DejaVuSans-34\" transform=\"translate(95.410156 0.78125)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"ytick_4\">\n", " <g id=\"line2d_10\">\n", " <g>\n", " <use xlink:href=\"#m0896003464\" x=\"34.763856\" y=\"66.596417\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_11\">\n", " <!-- $0.6$ -->\n", " <g transform=\"translate(18.463856 69.635792) scale(0.08 -0.08)\">\n", " <defs>\n", " <path id=\"DejaVuSans-36\" d=\"M 2113 2584 \n", "Q 1688 2584 1439 2293 \n", "Q 1191 2003 1191 1497 \n", "Q 1191 994 1439 701 \n", "Q 1688 409 2113 409 \n", "Q 2538 409 2786 701 \n", "Q 3034 994 3034 1497 \n", "Q 3034 2003 2786 2293 \n", "Q 2538 2584 2113 2584 \n", "z\n", "M 3366 4563 \n", "L 3366 3988 \n", "Q 3128 4100 2886 4159 \n", "Q 2644 4219 2406 4219 \n", "Q 1781 4219 1451 3797 \n", "Q 1122 3375 1075 2522 \n", "Q 1259 2794 1537 2939 \n", "Q 1816 3084 2150 3084 \n", "Q 2853 3084 3261 2657 \n", "Q 3669 2231 3669 1497 \n", "Q 3669 778 3244 343 \n", "Q 2819 -91 2113 -91 \n", "Q 1303 -91 875 529 \n", "Q 447 1150 447 2328 \n", "Q 447 3434 972 4092 \n", "Q 1497 4750 2381 4750 \n", "Q 2619 4750 2861 4703 \n", "Q 3103 4656 3366 4563 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " </defs>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(0 0.78125)\"/>\n", " <use xlink:href=\"#DejaVuSans-2e\" transform=\"translate(63.623047 0.78125)\"/>\n", " <use xlink:href=\"#DejaVuSans-36\" transform=\"translate(95.410156 0.78125)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"ytick_5\">\n", " <g id=\"line2d_11\">\n", " <g>\n", " <use xlink:href=\"#m0896003464\" x=\"34.763856\" y=\"8.166565\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_12\">\n", " <!-- $0.8$ -->\n", " <g transform=\"translate(18.703856 11.20594) scale(0.08 -0.08)\">\n", " <defs>\n", " <path id=\"DejaVuSans-38\" d=\"M 2034 2216 \n", "Q 1584 2216 1326 1975 \n", "Q 1069 1734 1069 1313 \n", "Q 1069 891 1326 650 \n", "Q 1584 409 2034 409 \n", "Q 2484 409 2743 651 \n", "Q 3003 894 3003 1313 \n", "Q 3003 1734 2745 1975 \n", "Q 2488 2216 2034 2216 \n", "z\n", "M 1403 2484 \n", "Q 997 2584 770 2862 \n", "Q 544 3141 544 3541 \n", "Q 544 4100 942 4425 \n", "Q 1341 4750 2034 4750 \n", "Q 2731 4750 3128 4425 \n", "Q 3525 4100 3525 3541 \n", "Q 3525 3141 3298 2862 \n", "Q 3072 2584 2669 2484 \n", "Q 3125 2378 3379 2068 \n", "Q 3634 1759 3634 1313 \n", "Q 3634 634 3220 271 \n", "Q 2806 -91 2034 -91 \n", "Q 1263 -91 848 271 \n", "Q 434 634 434 1313 \n", "Q 434 1759 690 2068 \n", "Q 947 2378 1403 2484 \n", "z\n", "M 1172 3481 \n", "Q 1172 3119 1398 2916 \n", "Q 1625 2713 2034 2713 \n", "Q 2441 2713 2670 2916 \n", "Q 2900 3119 2900 3481 \n", "Q 2900 3844 2670 4047 \n", "Q 2441 4250 2034 4250 \n", "Q 1625 4250 1398 4047 \n", "Q 1172 3844 1172 3481 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " </defs>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(0 0.78125)\"/>\n", " <use xlink:href=\"#DejaVuSans-2e\" transform=\"translate(63.623047 0.78125)\"/>\n", " <use xlink:href=\"#DejaVuSans-38\" transform=\"translate(92.785156 0.78125)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"text_13\">\n", " <!-- y/L -->\n", " <g transform=\"translate(12.1762 140.502656) rotate(-90) scale(0.11 -0.11)\">\n", " <defs>\n", " <path id=\"DejaVuSans-79\" d=\"M 2059 -325 \n", "Q 1816 -950 1584 -1140 \n", "Q 1353 -1331 966 -1331 \n", "L 506 -1331 \n", "L 506 -850 \n", "L 844 -850 \n", "Q 1081 -850 1212 -737 \n", "Q 1344 -625 1503 -206 \n", "L 1606 56 \n", "L 191 3500 \n", "L 800 3500 \n", "L 1894 763 \n", "L 2988 3500 \n", "L 3597 3500 \n", "L 2059 -325 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " </defs>\n", " <use xlink:href=\"#DejaVuSans-79\"/>\n", " <use xlink:href=\"#DejaVuSans-2f\" x=\"59.179688\"/>\n", " <use xlink:href=\"#DejaVuSans-4c\" x=\"92.871094\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"patch_3\">\n", " <path d=\"M 34.763856 256.493435 \n", "L 34.763856 8.166565 \n", "\" style=\"fill: none; stroke: #000000; stroke-linejoin: miter; stroke-linecap: square\"/>\n", " </g>\n", " <g id=\"patch_4\">\n", " <path d=\"M 34.763856 256.493435 \n", "L 429.165354 256.493435 \n", "\" style=\"fill: none; stroke: #000000; stroke-linejoin: miter; stroke-linecap: square\"/>\n", " </g>\n", " <g id=\"PathCollection_1\">\n", " <defs>\n", " <path id=\"m384c4dae36\" d=\"M 0 2 \n", "C 0.530406 2 1.03916 1.789267 1.414214 1.414214 \n", "C 1.789267 1.03916 2 0.530406 2 0 \n", "C 2 -0.530406 1.789267 -1.03916 1.414214 -1.414214 \n", "C 1.03916 -1.789267 0.530406 -2 0 -2 \n", "C -0.530406 -2 -1.03916 -1.789267 -1.414214 -1.414214 \n", "C -1.789267 -1.03916 -2 -0.530406 -2 0 \n", "C -2 0.530406 -1.789267 1.03916 -1.414214 1.414214 \n", "C -1.03916 1.789267 -0.530406 2 0 2 \n", "z\n", "\" style=\"stroke: #000000\"/>\n", " </defs>\n", " <g clip-path=\"url(#pee10135e9d)\">\n", " <use xlink:href=\"#m384c4dae36\" x=\"107.80117\" y=\"241.885972\" style=\"fill: #009afa; stroke: #000000\"/>\n", " <use xlink:href=\"#m384c4dae36\" x=\"126.060499\" y=\"241.885972\" style=\"fill: #009afa; stroke: #000000\"/>\n", " <use xlink:href=\"#m384c4dae36\" x=\"144.319828\" y=\"241.885972\" style=\"fill: #009afa; stroke: #000000\"/>\n", " <use xlink:href=\"#m384c4dae36\" x=\"162.579156\" y=\"241.885972\" style=\"fill: #009afa; stroke: #000000\"/>\n", " <use xlink:href=\"#m384c4dae36\" x=\"180.838485\" y=\"241.885972\" style=\"fill: #009afa; stroke: #000000\"/>\n", " <use xlink:href=\"#m384c4dae36\" x=\"199.097814\" y=\"241.885972\" style=\"fill: #009afa; stroke: #000000\"/>\n", " <use xlink:href=\"#m384c4dae36\" x=\"217.357142\" y=\"241.885972\" style=\"fill: #009afa; stroke: #000000\"/>\n", " <use xlink:href=\"#m384c4dae36\" x=\"235.616471\" y=\"241.885972\" style=\"fill: #009afa; stroke: #000000\"/>\n", " <use xlink:href=\"#m384c4dae36\" x=\"253.875799\" y=\"241.885972\" style=\"fill: #009afa; stroke: #000000\"/>\n", " <use xlink:href=\"#m384c4dae36\" x=\"272.135128\" y=\"241.885972\" style=\"fill: #009afa; stroke: #000000\"/>\n", " <use xlink:href=\"#m384c4dae36\" x=\"290.394457\" y=\"241.885972\" style=\"fill: #009afa; stroke: #000000\"/>\n", " <use xlink:href=\"#m384c4dae36\" x=\"308.653785\" y=\"241.885972\" style=\"fill: #009afa; stroke: #000000\"/>\n", " <use xlink:href=\"#m384c4dae36\" x=\"326.913114\" y=\"241.885972\" style=\"fill: #009afa; stroke: #000000\"/>\n", " <use xlink:href=\"#m384c4dae36\" x=\"345.172443\" y=\"241.885972\" style=\"fill: #009afa; stroke: #000000\"/>\n", " <use xlink:href=\"#m384c4dae36\" x=\"363.431771\" y=\"241.885972\" style=\"fill: #009afa; stroke: #000000\"/>\n", " <use xlink:href=\"#m384c4dae36\" x=\"381.6911\" y=\"241.885972\" style=\"fill: #009afa; stroke: #000000\"/>\n", " <use xlink:href=\"#m384c4dae36\" x=\"399.950429\" y=\"241.885972\" style=\"fill: #009afa; stroke: #000000\"/>\n", " </g>\n", " </g>\n", " <g id=\"line2d_12\">\n", " <path d=\"M 107.80117 241.885972 \n", "L 110.752173 241.885972 \n", "L 113.703176 241.885972 \n", "L 116.654178 241.885972 \n", "L 119.605181 241.885972 \n", "L 122.556183 241.885972 \n", "L 125.507186 241.885972 \n", "L 128.458189 241.885972 \n", "L 131.409191 241.885972 \n", "L 134.360194 241.885972 \n", "L 137.311196 241.885972 \n", "L 140.262199 241.885972 \n", "L 143.213202 241.885972 \n", "L 146.164204 241.885972 \n", "L 149.115207 241.885972 \n", "L 152.06621 241.885972 \n", "L 155.017212 241.885972 \n", "L 157.968215 241.885972 \n", "L 160.919217 241.885972 \n", "L 163.87022 241.885972 \n", "L 166.821223 241.885972 \n", "L 169.772225 241.885972 \n", "L 172.723228 241.885972 \n", "L 175.67423 241.885972 \n", "L 178.625233 241.885972 \n", "L 181.576236 241.885972 \n", "L 184.527238 241.885972 \n", "L 187.478241 241.885972 \n", "L 190.429243 241.885972 \n", "L 193.380246 241.885972 \n", "L 196.331249 241.885972 \n", "L 199.282251 241.885972 \n", "L 202.233254 241.885972 \n", "L 205.184256 241.885972 \n", "L 208.135259 241.885972 \n", "L 211.086262 241.885972 \n", "L 214.037264 241.885972 \n", "L 216.988267 241.885972 \n", "L 219.939269 241.885972 \n", "L 222.890272 241.885972 \n", "L 225.841275 241.885972 \n", "L 228.792277 241.885972 \n", "L 231.74328 241.885972 \n", "L 234.694283 241.885972 \n", "L 237.645285 241.885972 \n", "L 240.596288 241.885972 \n", "L 243.54729 241.885972 \n", "L 246.498293 241.885972 \n", "L 249.449296 241.885972 \n", "L 252.400298 241.885972 \n", "L 255.351301 241.885972 \n", "L 258.302303 241.885972 \n", "L 261.253306 241.885972 \n", "L 264.204309 241.885972 \n", "L 267.155311 241.885972 \n", "L 270.106314 241.885972 \n", "L 273.057316 241.885972 \n", "L 276.008319 241.885972 \n", "L 278.959322 241.885972 \n", "L 281.910324 241.885972 \n", "L 284.861327 241.885972 \n", "L 287.812329 241.885972 \n", "L 290.763332 241.885972 \n", "L 293.714335 241.885972 \n", "L 296.665337 241.885972 \n", "L 299.61634 241.885972 \n", "L 302.567342 241.885972 \n", "L 305.518345 241.885972 \n", "L 308.469348 241.885972 \n", "L 311.42035 241.885972 \n", "L 314.371353 241.885972 \n", "L 317.322356 241.885972 \n", "L 320.273358 241.885972 \n", "L 323.224361 241.885972 \n", "L 326.175363 241.885972 \n", "L 329.126366 241.885972 \n", "L 332.077369 241.885972 \n", "L 335.028371 241.885972 \n", "L 337.979374 241.885972 \n", "L 340.930376 241.885972 \n", "L 343.881379 241.885972 \n", "L 346.832382 241.885972 \n", "L 349.783384 241.885972 \n", "L 352.734387 241.885972 \n", "L 355.685389 241.885972 \n", "L 358.636392 241.885972 \n", "L 361.587395 241.885972 \n", "L 364.538397 241.885972 \n", "L 367.4894 241.885972 \n", "L 370.440402 241.885972 \n", "L 373.391405 241.885972 \n", "L 376.342408 241.885972 \n", "L 379.29341 241.885972 \n", "L 382.244413 241.885972 \n", "L 385.195415 241.885972 \n", "L 388.146418 241.885972 \n", "L 391.097421 241.885972 \n", "L 394.048423 241.885972 \n", "L 396.999426 241.885972 \n", "L 399.950429 241.885972 \n", "\" clip-path=\"url(#pee10135e9d)\" style=\"fill: none; stroke: #009afa\"/>\n", " </g>\n", " <g id=\"PathCollection_2\">\n", " <defs>\n", " <path id=\"m671618d111\" d=\"M 0 2 \n", "C 0.530406 2 1.03916 1.789267 1.414214 1.414214 \n", "C 1.789267 1.03916 2 0.530406 2 0 \n", "C 2 -0.530406 1.789267 -1.03916 1.414214 -1.414214 \n", "C 1.03916 -1.789267 0.530406 -2 0 -2 \n", "C -0.530406 -2 -1.03916 -1.789267 -1.414214 -1.414214 \n", "C -1.789267 -1.03916 -2 -0.530406 -2 0 \n", "C -2 0.530406 -1.789267 1.03916 -1.414214 1.414214 \n", "C -1.03916 1.789267 -0.530406 2 0 2 \n", "z\n", "\" style=\"stroke: #000000\"/>\n", " </defs>\n", " <g clip-path=\"url(#pee10135e9d)\">\n", " <use xlink:href=\"#m671618d111\" x=\"107.80117\" y=\"241.885972\" style=\"fill: #e36f47; stroke: #000000\"/>\n", " <use xlink:href=\"#m671618d111\" x=\"126.04642\" y=\"241.169068\" style=\"fill: #e36f47; stroke: #000000\"/>\n", " <use xlink:href=\"#m671618d111\" x=\"144.179167\" y=\"239.022777\" style=\"fill: #e36f47; stroke: #000000\"/>\n", " <use xlink:href=\"#m671618d111\" x=\"162.087603\" y=\"235.460332\" style=\"fill: #e36f47; stroke: #000000\"/>\n", " <use xlink:href=\"#m671618d111\" x=\"179.661301\" y=\"230.503699\" style=\"fill: #e36f47; stroke: #000000\"/>\n", " <use xlink:href=\"#m671618d111\" x=\"196.7919\" y=\"224.183442\" style=\"fill: #e36f47; stroke: #000000\"/>\n", " <use xlink:href=\"#m671618d111\" x=\"213.37377\" y=\"216.538531\" style=\"fill: #e36f47; stroke: #000000\"/>\n", " <use xlink:href=\"#m671618d111\" x=\"229.304664\" y=\"207.616104\" style=\"fill: #e36f47; stroke: #000000\"/>\n", " <use xlink:href=\"#m671618d111\" x=\"244.486349\" y=\"197.471177\" style=\"fill: #e36f47; stroke: #000000\"/>\n", " <use xlink:href=\"#m671618d111\" x=\"258.82521\" y=\"186.166305\" style=\"fill: #e36f47; stroke: #000000\"/>\n", " <use xlink:href=\"#m671618d111\" x=\"272.232831\" y=\"173.771193\" style=\"fill: #e36f47; stroke: #000000\"/>\n", " <use xlink:href=\"#m671618d111\" x=\"284.626535\" y=\"160.362272\" style=\"fill: #e36f47; stroke: #000000\"/>\n", " <use xlink:href=\"#m671618d111\" x=\"295.9299\" y=\"146.022222\" style=\"fill: #e36f47; stroke: #000000\"/>\n", " <use xlink:href=\"#m671618d111\" x=\"306.073222\" y=\"130.839466\" style=\"fill: #e36f47; stroke: #000000\"/>\n", " <use xlink:href=\"#m671618d111\" x=\"314.993954\" y=\"114.907622\" style=\"fill: #e36f47; stroke: #000000\"/>\n", " <use xlink:href=\"#m671618d111\" x=\"322.637084\" y=\"98.324931\" style=\"fill: #e36f47; stroke: #000000\"/>\n", " <use xlink:href=\"#m671618d111\" x=\"328.955481\" y=\"81.193646\" style=\"fill: #e36f47; stroke: #000000\"/>\n", " </g>\n", " </g>\n", " <g id=\"line2d_13\">\n", " <path d=\"M 107.80117 241.885972 \n", "L 110.752094 241.867243 \n", "L 113.702542 241.81106 \n", "L 116.652039 241.717431 \n", "L 119.60011 241.586372 \n", "L 122.54628 241.417904 \n", "L 125.490074 241.212054 \n", "L 128.431019 240.968855 \n", "L 131.368639 240.688346 \n", "L 134.302463 240.370573 \n", "L 137.232016 240.015587 \n", "L 140.156828 239.623444 \n", "L 143.076426 239.194208 \n", "L 145.990342 238.727949 \n", "L 148.898104 238.224741 \n", "L 151.799245 237.684665 \n", "L 154.693296 237.107809 \n", "L 157.579793 236.494265 \n", "L 160.45827 235.844132 \n", "L 163.328262 235.157516 \n", "L 166.189308 234.434526 \n", "L 169.040947 233.675279 \n", "L 171.882719 232.879897 \n", "L 174.714166 232.04851 \n", "L 177.534833 231.181249 \n", "L 180.344264 230.278256 \n", "L 183.142007 229.339676 \n", "L 185.927611 228.365659 \n", "L 188.700628 227.356364 \n", "L 191.46061 226.311951 \n", "L 194.207114 225.232591 \n", "L 196.939696 224.118457 \n", "L 199.657916 222.969727 \n", "L 202.361336 221.786588 \n", "L 205.049521 220.56923 \n", "L 207.722037 219.317849 \n", "L 210.378455 218.032646 \n", "L 213.018345 216.713829 \n", "L 215.641284 215.361611 \n", "L 218.246847 213.976208 \n", "L 220.834615 212.557845 \n", "L 223.404172 211.10675 \n", "L 225.955103 209.623156 \n", "L 228.486997 208.107303 \n", "L 230.999447 206.559435 \n", "L 233.492047 204.979801 \n", "L 235.964396 203.368655 \n", "L 238.416096 201.726258 \n", "L 240.846751 200.052875 \n", "L 243.255971 198.348773 \n", "L 245.643366 196.614229 \n", "L 248.008552 194.849521 \n", "L 250.351149 193.054935 \n", "L 252.670778 191.230758 \n", "L 254.967066 189.377286 \n", "L 257.239643 187.494816 \n", "L 259.488143 185.583652 \n", "L 261.712203 183.644102 \n", "L 263.911466 181.676478 \n", "L 266.085576 179.681097 \n", "L 268.234184 177.658282 \n", "L 270.356944 175.608357 \n", "L 272.453513 173.531653 \n", "L 274.523553 171.428505 \n", "L 276.566731 169.299251 \n", "L 278.582718 167.144235 \n", "L 280.57119 164.963803 \n", "L 282.531825 162.758308 \n", "L 284.464308 160.528104 \n", "L 286.368327 158.273551 \n", "L 288.243576 155.995011 \n", "L 290.089752 153.692853 \n", "L 291.906558 151.367447 \n", "L 293.693702 149.019167 \n", "L 295.450895 146.648393 \n", "L 297.177855 144.255505 \n", "L 298.874302 141.840891 \n", "L 300.539964 139.404937 \n", "L 302.174573 136.948038 \n", "L 303.777865 134.470588 \n", "L 305.349581 131.972988 \n", "L 306.889468 129.455639 \n", "L 308.397279 126.918947 \n", "L 309.872771 124.363321 \n", "L 311.315705 121.789173 \n", "L 312.725849 119.196916 \n", "L 314.102976 116.58697 \n", "L 315.446865 113.959754 \n", "L 316.757298 111.315692 \n", "L 318.034064 108.655209 \n", "L 319.276958 105.978735 \n", "L 320.48578 103.286701 \n", "L 321.660334 100.57954 \n", "L 322.800432 97.857688 \n", "L 323.90589 95.121584 \n", "L 324.976529 92.37167 \n", "L 326.012177 89.608387 \n", "L 327.012668 86.832181 \n", "L 327.97784 84.0435 \n", "L 328.907538 81.242793 \n", "\" clip-path=\"url(#pee10135e9d)\" style=\"fill: none; stroke: #e36f47\"/>\n", " </g>\n", " <g id=\"PathCollection_3\">\n", " <defs>\n", " <path id=\"m598c5bad49\" d=\"M 0 2 \n", "C 0.530406 2 1.03916 1.789267 1.414214 1.414214 \n", "C 1.789267 1.03916 2 0.530406 2 0 \n", "C 2 -0.530406 1.789267 -1.03916 1.414214 -1.414214 \n", "C 1.03916 -1.789267 0.530406 -2 0 -2 \n", "C -0.530406 -2 -1.03916 -1.789267 -1.414214 -1.414214 \n", "C -1.789267 -1.03916 -2 -0.530406 -2 0 \n", "C -2 0.530406 -1.789267 1.03916 -1.414214 1.414214 \n", "C -1.03916 1.789267 -0.530406 2 0 2 \n", "z\n", "\" style=\"stroke: #000000\"/>\n", " </defs>\n", " <g clip-path=\"url(#pee10135e9d)\">\n", " <use xlink:href=\"#m598c5bad49\" x=\"107.80117\" y=\"241.885972\" style=\"fill: #3ea44e; stroke: #000000\"/>\n", " <use xlink:href=\"#m598c5bad49\" x=\"126.004183\" y=\"240.452994\" style=\"fill: #3ea44e; stroke: #000000\"/>\n", " <use xlink:href=\"#m598c5bad49\" x=\"143.758745\" y=\"236.189359\" style=\"fill: #3ea44e; stroke: #000000\"/>\n", " <use xlink:href=\"#m598c5bad49\" x=\"160.627453\" y=\"229.200097\" style=\"fill: #3ea44e; stroke: #000000\"/>\n", " <use xlink:href=\"#m598c5bad49\" x=\"176.194716\" y=\"219.657381\" style=\"fill: #3ea44e; stroke: #000000\"/>\n", " <use xlink:href=\"#m598c5bad49\" x=\"190.076994\" y=\"207.796293\" style=\"fill: #3ea44e; stroke: #000000\"/>\n", " <use xlink:href=\"#m598c5bad49\" x=\"201.932249\" y=\"193.909031\" style=\"fill: #3ea44e; stroke: #000000\"/>\n", " <use xlink:href=\"#m598c5bad49\" x=\"211.468361\" y=\"178.337723\" style=\"fill: #3ea44e; stroke: #000000\"/>\n", " <use xlink:href=\"#m598c5bad49\" x=\"218.450334\" y=\"161.465997\" style=\"fill: #3ea44e; stroke: #000000\"/>\n", " <use xlink:href=\"#m598c5bad49\" x=\"222.706082\" y=\"143.709542\" style=\"fill: #3ea44e; stroke: #000000\"/>\n", " <use xlink:href=\"#m598c5bad49\" x=\"224.130678\" y=\"125.505872\" style=\"fill: #3ea44e; stroke: #000000\"/>\n", " <use xlink:href=\"#m598c5bad49\" x=\"222.688939\" y=\"107.303552\" style=\"fill: #3ea44e; stroke: #000000\"/>\n", " <use xlink:href=\"#m598c5bad49\" x=\"218.416304\" y=\"89.551152\" style=\"fill: #3ea44e; stroke: #000000\"/>\n", " <use xlink:href=\"#m598c5bad49\" x=\"211.417972\" y=\"72.686206\" style=\"fill: #3ea44e; stroke: #000000\"/>\n", " <use xlink:href=\"#m598c5bad49\" x=\"201.86632\" y=\"57.124424\" style=\"fill: #3ea44e; stroke: #000000\"/>\n", " <use xlink:href=\"#m598c5bad49\" x=\"189.996673\" y=\"43.249463\" style=\"fill: #3ea44e; stroke: #000000\"/>\n", " <use xlink:href=\"#m598c5bad49\" x=\"176.101517\" y=\"31.403462\" style=\"fill: #3ea44e; stroke: #000000\"/>\n", " </g>\n", " </g>\n", " <g id=\"line2d_14\">\n", " <path d=\"M 107.80117 241.885972 \n", "L 110.751856 241.848516 \n", "L 113.70064 241.736172 \n", "L 116.645622 241.549013 \n", "L 119.584905 241.287159 \n", "L 122.516593 240.950779 \n", "L 125.438798 240.54009 \n", "L 128.349637 240.055356 \n", "L 131.247233 239.49689 \n", "L 134.12972 238.865052 \n", "L 136.995239 238.160249 \n", "L 139.841945 237.382935 \n", "L 142.668002 236.53361 \n", "L 145.471589 235.612824 \n", "L 148.250899 234.621168 \n", "L 151.004142 233.559282 \n", "L 153.729543 232.42785 \n", "L 156.425346 231.227601 \n", "L 159.089813 229.959309 \n", "L 161.721227 228.623791 \n", "L 164.317893 227.221908 \n", "L 166.878137 225.754564 \n", "L 169.400309 224.222703 \n", "L 171.882783 222.627314 \n", "L 174.323961 220.969423 \n", "L 176.722268 219.2501 \n", "L 179.07616 217.470453 \n", "L 181.384118 215.631629 \n", "L 183.644657 213.734812 \n", "L 185.856318 211.781225 \n", "L 188.017677 209.772127 \n", "L 190.127341 207.708812 \n", "L 192.183951 205.592611 \n", "L 194.18618 203.424888 \n", "L 196.132739 201.207038 \n", "L 198.022373 198.940492 \n", "L 199.853864 196.626709 \n", "L 201.626033 194.267182 \n", "L 203.337736 191.863431 \n", "L 204.987872 189.417005 \n", "L 206.575376 186.92948 \n", "L 208.099225 184.40246 \n", "L 209.558438 181.837572 \n", "L 210.952073 179.236471 \n", "L 212.279234 176.600832 \n", "L 213.539064 173.932354 \n", "L 214.730752 171.232756 \n", "L 215.85353 168.503778 \n", "L 216.906674 165.747179 \n", "L 217.889505 162.964736 \n", "L 218.801391 160.158241 \n", "L 219.641743 157.329503 \n", "L 220.410019 154.480346 \n", "L 221.105726 151.612604 \n", "L 221.728414 148.728127 \n", "L 222.277682 145.828773 \n", "L 222.753176 142.916411 \n", "L 223.15459 139.992917 \n", "L 223.481665 137.060176 \n", "L 223.734191 134.120077 \n", "L 223.912003 131.174516 \n", "L 224.014989 128.22539 \n", "L 224.043081 125.274601 \n", "L 223.996262 122.324049 \n", "L 223.874562 119.375636 \n", "L 223.678058 116.431263 \n", "L 223.406878 113.492826 \n", "L 223.061197 110.56222 \n", "L 222.641237 107.641332 \n", "L 222.147268 104.732047 \n", "L 221.57961 101.836237 \n", "L 220.938628 98.95577 \n", "L 220.224735 96.092502 \n", "L 219.438391 93.248277 \n", "L 218.580103 90.42493 \n", "L 217.650425 87.624279 \n", "L 216.649954 84.848129 \n", "L 215.579336 82.09827 \n", "L 214.439261 79.376473 \n", "L 213.230464 76.684493 \n", "L 211.953723 74.024064 \n", "L 210.609862 71.396901 \n", "L 209.199746 68.804697 \n", "L 207.724285 66.249122 \n", "L 206.184428 63.731824 \n", "L 204.581169 61.254424 \n", "L 202.91554 58.81852 \n", "L 201.188615 56.425681 \n", "L 199.401508 54.077449 \n", "L 197.555368 51.775337 \n", "L 195.651388 49.520829 \n", "L 193.690792 47.315378 \n", "L 191.674845 45.160405 \n", "L 189.604847 43.057299 \n", "L 187.48213 41.007416 \n", "L 185.308064 39.012075 \n", "L 183.084048 37.072564 \n", "L 180.811517 35.190132 \n", "L 178.491934 33.365992 \n", "L 176.126795 31.60132 \n", "\" clip-path=\"url(#pee10135e9d)\" style=\"fill: none; stroke: #3ea44e\"/>\n", " </g>\n", " <g id=\"PathCollection_4\">\n", " <defs>\n", " <path id=\"m7daa5d8ce4\" d=\"M 0 2 \n", "C 0.530406 2 1.03916 1.789267 1.414214 1.414214 \n", "C 1.789267 1.03916 2 0.530406 2 0 \n", "C 2 -0.530406 1.789267 -1.03916 1.414214 -1.414214 \n", "C 1.03916 -1.789267 0.530406 -2 0 -2 \n", "C -0.530406 -2 -1.03916 -1.789267 -1.414214 -1.414214 \n", "C -1.789267 -1.03916 -2 -0.530406 -2 0 \n", "C -2 0.530406 -1.789267 1.03916 -1.414214 1.414214 \n", "C -1.03916 1.789267 -0.530406 2 0 2 \n", "z\n", "\" style=\"stroke: #000000\"/>\n", " </defs>\n", " <g clip-path=\"url(#pee10135e9d)\">\n", " <use xlink:href=\"#m7daa5d8ce4\" x=\"107.80117\" y=\"241.885972\" style=\"fill: #c371d2; stroke: #000000\"/>\n", " <use xlink:href=\"#m7daa5d8ce4\" x=\"125.933787\" y=\"239.738581\" style=\"fill: #c371d2; stroke: #000000\"/>\n", " <use xlink:href=\"#m7daa5d8ce4\" x=\"143.063228\" y=\"233.415184\" style=\"fill: #c371d2; stroke: #000000\"/>\n", " <use xlink:href=\"#m7daa5d8ce4\" x=\"158.24177\" y=\"223.265557\" style=\"fill: #c371d2; stroke: #000000\"/>\n", " <use xlink:href=\"#m7daa5d8ce4\" x=\"170.629538\" y=\"209.851151\" style=\"fill: #c371d2; stroke: #000000\"/>\n", " <use xlink:href=\"#m7daa5d8ce4\" x=\"179.540948\" y=\"193.914092\" style=\"fill: #c371d2; stroke: #000000\"/>\n", " <use xlink:href=\"#m7daa5d8ce4\" x=\"184.482639\" y=\"176.336186\" style=\"fill: #c371d2; stroke: #000000\"/>\n", " <use xlink:href=\"#m7daa5d8ce4\" x=\"185.180799\" y=\"158.090209\" style=\"fill: #c371d2; stroke: #000000\"/>\n", " <use xlink:href=\"#m7daa5d8ce4\" x=\"181.596379\" y=\"140.186159\" style=\"fill: #c371d2; stroke: #000000\"/>\n", " <use xlink:href=\"#m7daa5d8ce4\" x=\"173.927347\" y=\"123.615431\" style=\"fill: #c371d2; stroke: #000000\"/>\n", " <use xlink:href=\"#m7daa5d8ce4\" x=\"162.597872\" y=\"109.296\" style=\"fill: #c371d2; stroke: #000000\"/>\n", " <use xlink:href=\"#m7daa5d8ce4\" x=\"148.235015\" y=\"98.021631\" style=\"fill: #c371d2; stroke: #000000\"/>\n", " <use xlink:href=\"#m7daa5d8ce4\" x=\"131.634221\" y=\"90.417901\" style=\"fill: #c371d2; stroke: #000000\"/>\n", " <use xlink:href=\"#m7daa5d8ce4\" x=\"113.715514\" y=\"86.907481\" style=\"fill: #c371d2; stroke: #000000\"/>\n", " <use xlink:href=\"#m7daa5d8ce4\" x=\"95.469862\" y=\"87.614056\" style=\"fill: #c371d2; stroke: #000000\"/>\n", " <use xlink:href=\"#m7daa5d8ce4\" x=\"77.895703\" y=\"92.569055\" style=\"fill: #c371d2; stroke: #000000\"/>\n", " <use xlink:href=\"#m7daa5d8ce4\" x=\"61.967531\" y=\"101.496341\" style=\"fill: #c371d2; stroke: #000000\"/>\n", " </g>\n", " </g>\n", " <g id=\"line2d_15\">\n", " <path d=\"M 107.80117 241.885972 \n", "L 110.75146 241.829792 \n", "L 113.697472 241.661333 \n", "L 116.634934 241.380839 \n", "L 119.559589 240.988717 \n", "L 122.467195 240.485536 \n", "L 125.353537 239.872025 \n", "L 128.214429 239.149074 \n", "L 131.045725 238.317731 \n", "L 133.843317 237.379201 \n", "L 136.603152 236.334845 \n", "L 139.321226 235.186177 \n", "L 141.993599 233.934863 \n", "L 144.616396 232.582717 \n", "L 147.185815 231.1317 \n", "L 149.698129 229.583915 \n", "L 152.149697 227.941606 \n", "L 154.536964 226.207155 \n", "L 156.856469 224.383076 \n", "L 159.104848 222.472015 \n", "L 161.278842 220.476742 \n", "L 163.375298 218.400149 \n", "L 165.391177 216.245249 \n", "L 167.323556 214.015165 \n", "L 169.169633 211.71313 \n", "L 170.926732 209.342483 \n", "L 172.592305 206.90666 \n", "L 174.163936 204.409194 \n", "L 175.639349 201.853705 \n", "L 177.016402 199.243899 \n", "L 178.2931 196.58356 \n", "L 179.467591 193.876544 \n", "L 180.538173 191.126777 \n", "L 181.503293 188.338245 \n", "L 182.361552 185.514993 \n", "L 183.111706 182.661112 \n", "L 183.752666 179.780742 \n", "L 184.283504 176.878058 \n", "L 184.70345 173.957269 \n", "L 185.011895 171.022609 \n", "L 185.208392 168.078335 \n", "L 185.292656 165.128714 \n", "L 185.264565 162.178023 \n", "L 185.124159 159.230541 \n", "L 184.871642 156.290541 \n", "L 184.507381 153.362286 \n", "L 184.031902 150.450022 \n", "L 183.445897 147.55797 \n", "L 182.750214 144.690325 \n", "L 181.945861 141.851244 \n", "L 181.034007 139.044843 \n", "L 180.015971 136.275192 \n", "L 178.893231 133.546306 \n", "L 177.667414 130.862142 \n", "L 176.340298 128.226591 \n", "L 174.913807 125.643475 \n", "L 173.390009 123.11654 \n", "L 171.771113 120.649448 \n", "L 170.059467 118.245778 \n", "L 168.257552 115.909013 \n", "L 166.367982 113.642543 \n", "L 164.393495 111.449653 \n", "L 162.336955 109.333523 \n", "L 160.201343 107.297222 \n", "L 157.989755 105.3437 \n", "L 155.7054 103.475792 \n", "L 153.351587 101.696204 \n", "L 150.931731 100.007518 \n", "L 148.44934 98.412182 \n", "L 145.908012 96.912509 \n", "L 143.311434 95.510673 \n", "L 140.663368 94.208707 \n", "L 137.967656 93.008499 \n", "L 135.228206 91.911788 \n", "L 132.448988 90.920166 \n", "L 129.634034 90.035069 \n", "L 126.787424 89.25778 \n", "L 123.913286 88.589428 \n", "L 121.015787 88.030981 \n", "L 118.099128 87.583249 \n", "L 115.167538 87.24688 \n", "L 112.225268 87.022363 \n", "L 109.276583 86.910023 \n", "L 106.325758 86.910023 \n", "L 103.377073 87.022363 \n", "L 100.434803 87.24688 \n", "L 97.503213 87.583249 \n", "L 94.586553 88.030981 \n", "L 91.689054 88.589428 \n", "L 88.814916 89.25778 \n", "L 85.968307 90.035069 \n", "L 83.153352 90.920166 \n", "L 80.374135 91.911788 \n", "L 77.634684 93.008499 \n", "L 74.938972 94.208707 \n", "L 72.290907 95.510673 \n", "L 69.694329 96.912509 \n", "L 67.153001 98.412182 \n", "L 64.67061 100.007518 \n", "L 62.250754 101.696204 \n", "\" clip-path=\"url(#pee10135e9d)\" style=\"fill: none; stroke: #c371d2\"/>\n", " </g>\n", " <g id=\"PathCollection_5\">\n", " <defs>\n", " <path id=\"mdc423f9ad4\" d=\"M 0 2 \n", "C 0.530406 2 1.03916 1.789267 1.414214 1.414214 \n", "C 1.789267 1.03916 2 0.530406 2 0 \n", "C 2 -0.530406 1.789267 -1.03916 1.414214 -1.414214 \n", "C 1.03916 -1.789267 0.530406 -2 0 -2 \n", "C -0.530406 -2 -1.03916 -1.789267 -1.414214 -1.414214 \n", "C -1.789267 -1.03916 -2 -0.530406 -2 0 \n", "C -2 0.530406 -1.789267 1.03916 -1.414214 1.414214 \n", "C -1.03916 1.789267 -0.530406 2 0 2 \n", "z\n", "\" style=\"stroke: #000000\"/>\n", " </defs>\n", " <g clip-path=\"url(#pee10135e9d)\">\n", " <use xlink:href=\"#mdc423f9ad4\" x=\"107.80117\" y=\"241.885972\" style=\"fill: #ac8e18; stroke: #000000\"/>\n", " <use xlink:href=\"#mdc423f9ad4\" x=\"125.835234\" y=\"239.026663\" style=\"fill: #ac8e18; stroke: #000000\"/>\n", " <use xlink:href=\"#mdc423f9ad4\" x=\"142.100335\" y=\"230.7291\" style=\"fill: #ac8e18; stroke: #000000\"/>\n", " <use xlink:href=\"#mdc423f9ad4\" x=\"155.000777\" y=\"217.80696\" style=\"fill: #ac8e18; stroke: #000000\"/>\n", " <use xlink:href=\"#mdc423f9ad4\" x=\"163.270476\" y=\"201.527674\" style=\"fill: #ac8e18; stroke: #000000\"/>\n", " <use xlink:href=\"#mdc423f9ad4\" x=\"166.097146\" y=\"183.488466\" style=\"fill: #ac8e18; stroke: #000000\"/>\n", " <use xlink:href=\"#mdc423f9ad4\" x=\"163.202179\" y=\"165.460093\" style=\"fill: #ac8e18; stroke: #000000\"/>\n", " <use xlink:href=\"#mdc423f9ad4\" x=\"154.868433\" y=\"149.213501\" style=\"fill: #ac8e18; stroke: #000000\"/>\n", " <use xlink:href=\"#mdc423f9ad4\" x=\"141.913184\" y=\"136.346309\" style=\"fill: #ac8e18; stroke: #000000\"/>\n", " <use xlink:href=\"#mdc423f9ad4\" x=\"125.608896\" y=\"128.126013\" style=\"fill: #ac8e18; stroke: #000000\"/>\n", " <use xlink:href=\"#mdc423f9ad4\" x=\"107.559497\" y=\"125.365165\" style=\"fill: #ac8e18; stroke: #000000\"/>\n", " <use xlink:href=\"#mdc423f9ad4\" x=\"89.508477\" y=\"128.115389\" style=\"fill: #ac8e18; stroke: #000000\"/>\n", " <use xlink:href=\"#mdc423f9ad4\" x=\"73.199357\" y=\"136.326096\" style=\"fill: #ac8e18; stroke: #000000\"/>\n", " <use xlink:href=\"#mdc423f9ad4\" x=\"60.236548\" y=\"149.18567\" style=\"fill: #ac8e18; stroke: #000000\"/>\n", " <use xlink:href=\"#mdc423f9ad4\" x=\"51.893257\" y=\"165.427363\" style=\"fill: #ac8e18; stroke: #000000\"/>\n", " <use xlink:href=\"#mdc423f9ad4\" x=\"48.987702\" y=\"183.454033\" style=\"fill: #ac8e18; stroke: #000000\"/>\n", " <use xlink:href=\"#mdc423f9ad4\" x=\"51.803778\" y=\"201.494897\" style=\"fill: #ac8e18; stroke: #000000\"/>\n", " </g>\n", " </g>\n", " <g id=\"line2d_16\">\n", " <path d=\"M 107.80117 241.885972 \n", "L 110.750905 241.811072 \n", "L 113.693038 241.586565 \n", "L 116.619984 241.213031 \n", "L 119.524202 240.691431 \n", "L 122.398205 240.02311 \n", "L 125.234586 239.209791 \n", "L 128.026035 238.25357 \n", "L 130.765357 237.156911 \n", "L 133.445492 235.92264 \n", "L 136.059532 234.55394 \n", "L 138.600739 233.054337 \n", "L 141.062566 231.427697 \n", "L 143.438665 229.678213 \n", "L 145.722914 227.810392 \n", "L 147.909424 225.829049 \n", "L 149.992561 223.739292 \n", "L 151.966955 221.546505 \n", "L 153.827517 219.256341 \n", "L 155.569453 216.874701 \n", "L 157.188273 214.407726 \n", "L 158.679804 211.861772 \n", "L 160.040202 209.243402 \n", "L 161.265961 206.559364 \n", "L 162.353922 203.816576 \n", "L 163.301281 201.022106 \n", "L 164.105595 198.183159 \n", "L 164.764792 195.307049 \n", "L 165.277173 192.401191 \n", "L 165.641418 189.473074 \n", "L 165.856587 186.530244 \n", "L 165.922126 183.580286 \n", "L 165.837866 180.630804 \n", "L 165.604024 177.689399 \n", "L 165.221204 174.763652 \n", "L 164.69039 171.861104 \n", "L 164.012953 168.989237 \n", "L 163.190637 166.155451 \n", "L 162.225562 163.36705 \n", "L 161.120216 160.631222 \n", "L 159.877447 157.955018 \n", "L 158.500458 155.345334 \n", "L 156.992799 152.808898 \n", "L 155.358355 150.352246 \n", "L 153.601339 147.98171 \n", "L 151.726279 145.7034 \n", "L 149.738008 143.523188 \n", "L 147.64165 141.446694 \n", "L 145.442609 139.479268 \n", "L 143.146552 137.625982 \n", "L 140.759397 135.891613 \n", "L 138.287297 134.28063 \n", "L 135.736623 132.797185 \n", "L 133.113949 131.445103 \n", "L 130.426035 130.227867 \n", "L 127.679808 129.148616 \n", "L 124.882347 128.21013 \n", "L 122.040861 127.414828 \n", "L 119.162674 126.764761 \n", "L 116.255205 126.261604 \n", "L 113.325946 125.906653 \n", "L 110.382448 125.700824 \n", "L 107.432298 125.644646 \n", "L 104.483097 125.738265 \n", "L 101.542449 125.98144 \n", "L 98.617932 126.373543 \n", "L 95.717083 126.913564 \n", "L 92.84738 127.600112 \n", "L 90.016218 128.431416 \n", "L 87.230894 129.405334 \n", "L 84.498587 130.519357 \n", "L 81.82634 131.770612 \n", "L 79.221039 133.155875 \n", "L 76.6894 134.671575 \n", "L 74.237947 136.313807 \n", "L 71.872999 138.078337 \n", "L 69.60065 139.960617 \n", "L 67.426759 141.955797 \n", "L 65.356927 144.058733 \n", "L 63.396489 146.264006 \n", "L 61.550499 148.565933 \n", "L 59.823713 150.958579 \n", "L 58.220583 153.435779 \n", "L 56.74524 155.991148 \n", "L 55.401487 158.618099 \n", "L 54.192788 161.309863 \n", "L 53.122256 164.0595 \n", "L 52.192652 166.859926 \n", "L 51.406372 169.703921 \n", "L 50.765441 172.584156 \n", "L 50.271513 175.493208 \n", "L 49.925859 178.423578 \n", "L 49.729371 181.367714 \n", "L 49.682556 184.318028 \n", "L 49.785533 187.266916 \n", "L 50.038038 190.206778 \n", "L 50.43942 193.130036 \n", "L 50.988644 196.029157 \n", "L 51.684294 198.896667 \n", "L 52.524579 201.725177 \n", "\" clip-path=\"url(#pee10135e9d)\" style=\"fill: none; stroke: #ac8e18\"/>\n", " </g>\n", " <g id=\"PathCollection_6\">\n", " <defs>\n", " <path id=\"m6cde6026ea\" d=\"M 0 2 \n", "C 0.530406 2 1.03916 1.789267 1.414214 1.414214 \n", "C 1.789267 1.03916 2 0.530406 2 0 \n", "C 2 -0.530406 1.789267 -1.03916 1.414214 -1.414214 \n", "C 1.03916 -1.789267 0.530406 -2 0 -2 \n", "C -0.530406 -2 -1.03916 -1.789267 -1.414214 -1.414214 \n", "C -1.789267 -1.03916 -2 -0.530406 -2 0 \n", "C -2 0.530406 -1.789267 1.03916 -1.414214 1.414214 \n", "C -1.03916 1.789267 -0.530406 2 0 2 \n", "z\n", "\" style=\"stroke: #000000\"/>\n", " </defs>\n", " <g clip-path=\"url(#pee10135e9d)\">\n", " <use xlink:href=\"#m6cde6026ea\" x=\"107.80117\" y=\"241.885972\" style=\"fill: #00aaae; stroke: #000000\"/>\n", " <use xlink:href=\"#m6cde6026ea\" x=\"125.775397\" y=\"238.671902\" style=\"fill: #00aaae; stroke: #000000\"/>\n", " <use xlink:href=\"#m6cde6026ea\" x=\"141.521852\" y=\"229.427863\" style=\"fill: #00aaae; stroke: #000000\"/>\n", " <use xlink:href=\"#m6cde6026ea\" x=\"153.088372\" y=\"215.299215\" style=\"fill: #00aaae; stroke: #000000\"/>\n", " <use xlink:href=\"#m6cde6026ea\" x=\"159.040074\" y=\"198.037109\" style=\"fill: #00aaae; stroke: #000000\"/>\n", " <use xlink:href=\"#m6cde6026ea\" x=\"158.637305\" y=\"179.782223\" style=\"fill: #00aaae; stroke: #000000\"/>\n", " <use xlink:href=\"#m6cde6026ea\" x=\"151.927951\" y=\"162.800243\" style=\"fill: #00aaae; stroke: #000000\"/>\n", " <use xlink:href=\"#m6cde6026ea\" x=\"139.742714\" y=\"149.2016\" style=\"fill: #00aaae; stroke: #000000\"/>\n", " <use xlink:href=\"#m6cde6026ea\" x=\"123.593903\" y=\"140.679923\" style=\"fill: #00aaae; stroke: #000000\"/>\n", " <use xlink:href=\"#m6cde6026ea\" x=\"105.490168\" y=\"138.3013\" style=\"fill: #00aaae; stroke: #000000\"/>\n", " <use xlink:href=\"#m6cde6026ea\" x=\"87.630368\" y=\"142.10007\" style=\"fill: #00aaae; stroke: #000000\"/>\n", " <use xlink:href=\"#m6cde6026ea\" x=\"72.203033\" y=\"151.867384\" style=\"fill: #00aaae; stroke: #000000\"/>\n", " <use xlink:href=\"#m6cde6026ea\" x=\"61.126056\" y=\"166.383019\" style=\"fill: #00aaae; stroke: #000000\"/>\n", " <use xlink:href=\"#m6cde6026ea\" x=\"55.773563\" y=\"183.840221\" style=\"fill: #00aaae; stroke: #000000\"/>\n", " <use xlink:href=\"#m6cde6026ea\" x=\"56.807691\" y=\"202.070242\" style=\"fill: #00aaae; stroke: #000000\"/>\n", " <use xlink:href=\"#m6cde6026ea\" x=\"64.09816\" y=\"218.810975\" style=\"fill: #00aaae; stroke: #000000\"/>\n", " <use xlink:href=\"#m6cde6026ea\" x=\"76.739504\" y=\"231.986691\" style=\"fill: #00aaae; stroke: #000000\"/>\n", " </g>\n", " </g>\n", " <g id=\"line2d_17\">\n", " <path d=\"M 107.80117 241.885972 \n", "L 110.750569 241.801714 \n", "L 113.690346 241.549217 \n", "L 116.610915 241.129302 \n", "L 119.502748 240.543341 \n", "L 122.356413 239.793244 \n", "L 125.162602 238.881458 \n", "L 127.912161 237.810957 \n", "L 130.596123 236.585233 \n", "L 133.205732 235.208283 \n", "L 135.732476 233.6846 \n", "L 138.168115 232.019153 \n", "L 140.504703 230.217375 \n", "L 142.734619 228.285142 \n", "L 144.850589 226.228757 \n", "L 146.845711 224.054927 \n", "L 148.713479 221.770744 \n", "L 150.447799 219.383657 \n", "L 152.043014 216.901453 \n", "L 153.493922 214.332229 \n", "L 154.79579 211.684364 \n", "L 155.944371 208.966495 \n", "L 156.935919 206.187488 \n", "L 157.767199 203.356406 \n", "L 158.435501 200.482485 \n", "L 158.938644 197.575099 \n", "L 159.274987 194.64373 \n", "L 159.443433 191.697941 \n", "L 159.443433 188.747339 \n", "L 159.274987 185.80155 \n", "L 158.938644 182.870181 \n", "L 158.435501 179.962795 \n", "L 157.767199 177.088874 \n", "L 156.935919 174.257793 \n", "L 155.944371 171.478785 \n", "L 154.79579 168.760916 \n", "L 153.493922 166.113051 \n", "L 152.043014 163.543827 \n", "L 150.447799 161.061623 \n", "L 148.713479 158.674536 \n", "L 146.845711 156.390353 \n", "L 144.850589 154.216523 \n", "L 142.734619 152.160138 \n", "L 140.504703 150.227905 \n", "L 138.168115 148.426127 \n", "L 135.732476 146.76068 \n", "L 133.205732 145.236997 \n", "L 130.596123 143.860047 \n", "L 127.912161 142.634323 \n", "L 125.162602 141.563822 \n", "L 122.356413 140.652036 \n", "L 119.502748 139.901939 \n", "L 116.610915 139.315978 \n", "L 113.690346 138.896064 \n", "L 110.750569 138.643566 \n", "L 107.80117 138.559308 \n", "L 104.851772 138.643566 \n", "L 101.911994 138.896064 \n", "L 98.991426 139.315978 \n", "L 96.099593 139.901939 \n", "L 93.245928 140.652036 \n", "L 90.439739 141.563822 \n", "L 87.69018 142.634323 \n", "L 85.006218 143.860047 \n", "L 82.396609 145.236997 \n", "L 79.869865 146.76068 \n", "L 77.434226 148.426127 \n", "L 75.097638 150.227905 \n", "L 72.867722 152.160138 \n", "L 70.751752 154.216523 \n", "L 68.756629 156.390353 \n", "L 66.888862 158.674536 \n", "L 65.154542 161.061623 \n", "L 63.559326 163.543827 \n", "L 62.108419 166.113051 \n", "L 60.806551 168.760916 \n", "L 59.65797 171.478785 \n", "L 58.666422 174.257793 \n", "L 57.835142 177.088874 \n", "L 57.16684 179.962795 \n", "L 56.663697 182.870181 \n", "L 56.327354 185.80155 \n", "L 56.158907 188.747339 \n", "L 56.158907 191.697941 \n", "L 56.327354 194.64373 \n", "L 56.663697 197.575099 \n", "L 57.16684 200.482485 \n", "L 57.835142 203.356406 \n", "L 58.666422 206.187488 \n", "L 59.65797 208.966495 \n", "L 60.806551 211.684364 \n", "L 62.108419 214.332229 \n", "L 63.559326 216.901453 \n", "L 65.154542 219.383657 \n", "L 66.888862 221.770744 \n", "L 68.756629 224.054927 \n", "L 70.751752 226.228757 \n", "L 72.867722 228.285142 \n", "L 75.097638 230.217375 \n", "L 77.434226 232.019153 \n", "\" clip-path=\"url(#pee10135e9d)\" style=\"fill: none; stroke: #00aaae\"/>\n", " </g>\n", " <g id=\"PathCollection_7\">\n", " <defs>\n", " <path id=\"mcacb4f6615\" d=\"M 0 2 \n", "C 0.530406 2 1.03916 1.789267 1.414214 1.414214 \n", "C 1.789267 1.03916 2 0.530406 2 0 \n", "C 2 -0.530406 1.789267 -1.03916 1.414214 -1.414214 \n", "C 1.03916 -1.789267 0.530406 -2 0 -2 \n", "C -0.530406 -2 -1.03916 -1.789267 -1.414214 -1.414214 \n", "C -1.789267 -1.03916 -2 -0.530406 -2 0 \n", "C -2 0.530406 -1.789267 1.03916 -1.414214 1.414214 \n", "C -1.03916 1.789267 -0.530406 2 0 2 \n", "z\n", "\" style=\"stroke: #000000\"/>\n", " </defs>\n", " <g clip-path=\"url(#pee10135e9d)\">\n", " <use xlink:href=\"#mcacb4f6615\" x=\"107.80117\" y=\"241.885972\" style=\"fill: #ed5e93; stroke: #000000\"/>\n", " <use xlink:href=\"#mcacb4f6615\" x=\"125.708522\" y=\"238.31808\" style=\"fill: #ed5e93; stroke: #000000\"/>\n", " <use xlink:href=\"#mcacb4f6615\" x=\"140.880762\" y=\"228.159035\" style=\"fill: #ed5e93; stroke: #000000\"/>\n", " <use xlink:href=\"#mcacb4f6615\" x=\"150.999605\" y=\"212.959953\" style=\"fill: #ed5e93; stroke: #000000\"/>\n", " <use xlink:href=\"#mcacb4f6615\" x=\"154.517243\" y=\"195.042662\" style=\"fill: #ed5e93; stroke: #000000\"/>\n", " <use xlink:href=\"#mcacb4f6615\" x=\"150.893222\" y=\"177.146586\" style=\"fill: #ed5e93; stroke: #000000\"/>\n", " <use xlink:href=\"#mcacb4f6615\" x=\"140.678603\" y=\"162.011704\" style=\"fill: #ed5e93; stroke: #000000\"/>\n", " <use xlink:href=\"#mcacb4f6615\" x=\"125.434599\" y=\"151.960663\" style=\"fill: #ed5e93; stroke: #000000\"/>\n", " <use xlink:href=\"#mcacb4f6615\" x=\"107.497943\" y=\"148.543143\" style=\"fill: #ed5e93; stroke: #000000\"/>\n", " <use xlink:href=\"#mcacb4f6615\" x=\"89.558133\" y=\"151.944069\" style=\"fill: #ed5e93; stroke: #000000\"/>\n", " <use xlink:href=\"#mcacb4f6615\" x=\"74.30485\" y=\"161.981024\" style=\"fill: #ed5e93; stroke: #000000\"/>\n", " <use xlink:href=\"#mcacb4f6615\" x=\"64.076267\" y=\"177.106472\" style=\"fill: #ed5e93; stroke: #000000\"/>\n", " <use xlink:href=\"#mcacb4f6615\" x=\"60.435742\" y=\"194.999198\" style=\"fill: #ed5e93; stroke: #000000\"/>\n", " <use xlink:href=\"#mcacb4f6615\" x=\"63.936861\" y=\"212.919724\" style=\"fill: #ed5e93; stroke: #000000\"/>\n", " <use xlink:href=\"#mcacb4f6615\" x=\"74.041692\" y=\"228.128125\" style=\"fill: #ed5e93; stroke: #000000\"/>\n", " <use xlink:href=\"#mcacb4f6615\" x=\"89.204565\" y=\"238.301146\" style=\"fill: #ed5e93; stroke: #000000\"/>\n", " <use xlink:href=\"#mcacb4f6615\" x=\"107.108622\" y=\"241.885534\" style=\"fill: #ed5e93; stroke: #000000\"/>\n", " </g>\n", " </g>\n", " <g id=\"line2d_18\">\n", " <path d=\"M 107.80117 241.885972 \n", "L 110.750192 241.792358 \n", "L 113.68734 241.511895 \n", "L 116.600785 241.04571 \n", "L 119.478798 240.395683 \n", "L 122.309789 239.564429 \n", "L 125.082359 238.555296 \n", "L 127.785344 237.372347 \n", "L 130.407859 236.020346 \n", "L 132.939346 234.504738 \n", "L 135.36961 232.831623 \n", "L 137.688865 231.007741 \n", "L 139.887773 229.040434 \n", "L 141.95748 226.937624 \n", "L 143.889651 224.70778 \n", "L 145.676507 222.359879 \n", "L 147.310852 219.903375 \n", "L 148.786106 217.348161 \n", "L 150.096328 214.704525 \n", "L 151.236242 211.983111 \n", "L 152.201259 209.19488 \n", "L 152.987491 206.351056 \n", "L 153.591775 203.463092 \n", "L 154.011676 200.542617 \n", "L 154.245504 197.60139 \n", "L 154.292316 194.651254 \n", "L 154.151925 191.704088 \n", "L 153.824897 188.77176 \n", "L 153.312546 185.866078 \n", "L 152.616938 182.998741 \n", "L 151.740872 180.181295 \n", "L 150.687877 177.425084 \n", "L 149.462192 174.741209 \n", "L 148.068752 172.140474 \n", "L 146.51317 169.633353 \n", "L 144.801708 167.22994 \n", "L 142.941257 164.939915 \n", "L 140.93931 162.772496 \n", "L 138.803928 160.736413 \n", "L 136.543708 158.839864 \n", "L 134.167752 157.090484 \n", "L 131.685627 155.49532 \n", "L 129.107328 154.060793 \n", "L 126.443237 152.79268 \n", "L 123.704081 151.696087 \n", "L 120.900889 150.77543 \n", "L 118.044949 150.034416 \n", "L 115.147761 149.476029 \n", "L 112.220991 149.102517 \n", "L 109.276424 148.915384 \n", "L 106.325917 148.915384 \n", "L 103.38135 149.102517 \n", "L 100.45458 149.476029 \n", "L 97.557392 150.034416 \n", "L 94.701452 150.77543 \n", "L 91.89826 151.696087 \n", "L 89.159104 152.79268 \n", "L 86.495012 154.060793 \n", "L 83.916713 155.49532 \n", "L 81.434589 157.090484 \n", "L 79.058633 158.839864 \n", "L 76.798413 160.736413 \n", "L 74.663031 162.772496 \n", "L 72.661084 164.939915 \n", "L 70.800633 167.22994 \n", "L 69.089171 169.633353 \n", "L 67.533588 172.140474 \n", "L 66.140149 174.741209 \n", "L 64.914464 177.425084 \n", "L 63.861469 180.181295 \n", "L 62.985403 182.998741 \n", "L 62.289794 185.866078 \n", "L 61.777444 188.77176 \n", "L 61.450415 191.704088 \n", "L 61.310025 194.651254 \n", "L 61.356837 197.60139 \n", "L 61.590665 200.542617 \n", "L 62.010566 203.463092 \n", "L 62.614849 206.351056 \n", "L 63.401082 209.19488 \n", "L 64.366099 211.983111 \n", "L 65.506013 214.704525 \n", "L 66.816235 217.348161 \n", "L 68.291488 219.903375 \n", "L 69.925834 222.359879 \n", "L 71.712689 224.70778 \n", "L 73.644861 226.937624 \n", "L 75.714568 229.040434 \n", "L 77.913476 231.007741 \n", "L 80.232731 232.831623 \n", "L 82.662995 234.504738 \n", "L 85.194481 236.020346 \n", "L 87.816997 237.372347 \n", "L 90.519982 238.555296 \n", "L 93.292552 239.564429 \n", "L 96.123543 240.395683 \n", "L 99.001556 241.04571 \n", "L 101.915001 241.511895 \n", "L 104.852149 241.792358 \n", "L 107.80117 241.885972 \n", "\" clip-path=\"url(#pee10135e9d)\" style=\"fill: none; stroke: #ed5e93\"/>\n", " </g>\n", " <g id=\"legend_1\">\n", " <g id=\"patch_5\">\n", " <path d=\"M 350.680354 126.649065 \n", "L 425.165354 126.649065 \n", "L 425.165354 12.166565 \n", "L 350.680354 12.166565 \n", "z\n", "\" style=\"fill: #ffffff; stroke: #000000; stroke-linejoin: miter\"/>\n", " </g>\n", " <g id=\"line2d_19\">\n", " <path d=\"M 357.080354 21.845315 \n", "L 365.080354 21.845315 \n", "L 373.080354 21.845315 \n", "\" style=\"fill: none\"/>\n", " <defs>\n", " <path id=\"m75edb6be80\" d=\"M 0 3.2 \n", "C 0.84865 3.2 1.662656 2.862828 2.262742 2.262742 \n", "C 2.862828 1.662656 3.2 0.84865 3.2 0 \n", "C 3.2 -0.84865 2.862828 -1.662656 2.262742 -2.262742 \n", "C 1.662656 -2.862828 0.84865 -3.2 0 -3.2 \n", "C -0.84865 -3.2 -1.662656 -2.862828 -2.262742 -2.262742 \n", "C -2.862828 -1.662656 -3.2 -0.84865 -3.2 0 \n", "C -3.2 0.84865 -2.862828 1.662656 -2.262742 2.262742 \n", "C -1.662656 2.862828 -0.84865 3.2 0 3.2 \n", "z\n", "\" style=\"stroke: #000000; stroke-width: 1.6\"/>\n", " </defs>\n", " <g>\n", " <use xlink:href=\"#m75edb6be80\" x=\"365.080354\" y=\"21.845315\" style=\"stroke: #000000; stroke-width: 1.6\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_14\">\n", " <!-- GXBeam -->\n", " <g transform=\"translate(379.480354 24.645315) scale(0.08 -0.08)\">\n", " <defs>\n", " <path id=\"DejaVuSans-47\" d=\"M 3809 666 \n", "L 3809 1919 \n", "L 2778 1919 \n", "L 2778 2438 \n", "L 4434 2438 \n", "L 4434 434 \n", "Q 4069 175 3628 42 \n", "Q 3188 -91 2688 -91 \n", "Q 1594 -91 976 548 \n", "Q 359 1188 359 2328 \n", "Q 359 3472 976 4111 \n", "Q 1594 4750 2688 4750 \n", "Q 3144 4750 3555 4637 \n", "Q 3966 4525 4313 4306 \n", "L 4313 3634 \n", "Q 3963 3931 3569 4081 \n", "Q 3175 4231 2741 4231 \n", "Q 1884 4231 1454 3753 \n", "Q 1025 3275 1025 2328 \n", "Q 1025 1384 1454 906 \n", "Q 1884 428 2741 428 \n", "Q 3075 428 3337 486 \n", "Q 3600 544 3809 666 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-58\" d=\"M 403 4666 \n", "L 1081 4666 \n", "L 2241 2931 \n", "L 3406 4666 \n", "L 4084 4666 \n", "L 2584 2425 \n", "L 4184 0 \n", "L 3506 0 \n", "L 2194 1984 \n", "L 872 0 \n", "L 191 0 \n", "L 1856 2491 \n", "L 403 4666 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-42\" d=\"M 1259 2228 \n", "L 1259 519 \n", "L 2272 519 \n", "Q 2781 519 3026 730 \n", "Q 3272 941 3272 1375 \n", "Q 3272 1813 3026 2020 \n", "Q 2781 2228 2272 2228 \n", "L 1259 2228 \n", "z\n", "M 1259 4147 \n", "L 1259 2741 \n", "L 2194 2741 \n", "Q 2656 2741 2882 2914 \n", "Q 3109 3088 3109 3444 \n", "Q 3109 3797 2882 3972 \n", "Q 2656 4147 2194 4147 \n", "L 1259 4147 \n", "z\n", "M 628 4666 \n", "L 2241 4666 \n", "Q 2963 4666 3353 4366 \n", "Q 3744 4066 3744 3513 \n", "Q 3744 3084 3544 2831 \n", "Q 3344 2578 2956 2516 \n", "Q 3422 2416 3680 2098 \n", "Q 3938 1781 3938 1306 \n", "Q 3938 681 3513 340 \n", "Q 3088 0 2303 0 \n", "L 628 0 \n", "L 628 4666 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-65\" d=\"M 3597 1894 \n", "L 3597 1613 \n", "L 953 1613 \n", "Q 991 1019 1311 708 \n", "Q 1631 397 2203 397 \n", "Q 2534 397 2845 478 \n", "Q 3156 559 3463 722 \n", "L 3463 178 \n", "Q 3153 47 2828 -22 \n", "Q 2503 -91 2169 -91 \n", "Q 1331 -91 842 396 \n", "Q 353 884 353 1716 \n", "Q 353 2575 817 3079 \n", "Q 1281 3584 2069 3584 \n", "Q 2775 3584 3186 3129 \n", "Q 3597 2675 3597 1894 \n", "z\n", "M 3022 2063 \n", "Q 3016 2534 2758 2815 \n", "Q 2500 3097 2075 3097 \n", "Q 1594 3097 1305 2825 \n", "Q 1016 2553 972 2059 \n", "L 3022 2063 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-61\" d=\"M 2194 1759 \n", "Q 1497 1759 1228 1600 \n", "Q 959 1441 959 1056 \n", "Q 959 750 1161 570 \n", "Q 1363 391 1709 391 \n", "Q 2188 391 2477 730 \n", "Q 2766 1069 2766 1631 \n", "L 2766 1759 \n", "L 2194 1759 \n", "z\n", "M 3341 1997 \n", "L 3341 0 \n", "L 2766 0 \n", "L 2766 531 \n", "Q 2569 213 2275 61 \n", "Q 1981 -91 1556 -91 \n", "Q 1019 -91 701 211 \n", "Q 384 513 384 1019 \n", "Q 384 1609 779 1909 \n", "Q 1175 2209 1959 2209 \n", "L 2766 2209 \n", "L 2766 2266 \n", "Q 2766 2663 2505 2880 \n", "Q 2244 3097 1772 3097 \n", "Q 1472 3097 1187 3025 \n", "Q 903 2953 641 2809 \n", "L 641 3341 \n", "Q 956 3463 1253 3523 \n", "Q 1550 3584 1831 3584 \n", "Q 2591 3584 2966 3190 \n", "Q 3341 2797 3341 1997 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-6d\" d=\"M 3328 2828 \n", "Q 3544 3216 3844 3400 \n", "Q 4144 3584 4550 3584 \n", "Q 5097 3584 5394 3201 \n", "Q 5691 2819 5691 2113 \n", "L 5691 0 \n", "L 5113 0 \n", "L 5113 2094 \n", "Q 5113 2597 4934 2840 \n", "Q 4756 3084 4391 3084 \n", "Q 3944 3084 3684 2787 \n", "Q 3425 2491 3425 1978 \n", "L 3425 0 \n", "L 2847 0 \n", "L 2847 2094 \n", "Q 2847 2600 2669 2842 \n", "Q 2491 3084 2119 3084 \n", "Q 1678 3084 1418 2786 \n", "Q 1159 2488 1159 1978 \n", "L 1159 0 \n", "L 581 0 \n", "L 581 3500 \n", "L 1159 3500 \n", "L 1159 2956 \n", "Q 1356 3278 1631 3431 \n", "Q 1906 3584 2284 3584 \n", "Q 2666 3584 2933 3390 \n", "Q 3200 3197 3328 2828 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " </defs>\n", " <use xlink:href=\"#DejaVuSans-47\"/>\n", " <use xlink:href=\"#DejaVuSans-58\" x=\"77.490234\"/>\n", " <use xlink:href=\"#DejaVuSans-42\" x=\"145.996094\"/>\n", " <use xlink:href=\"#DejaVuSans-65\" x=\"214.599609\"/>\n", " <use xlink:href=\"#DejaVuSans-61\" x=\"276.123047\"/>\n", " <use xlink:href=\"#DejaVuSans-6d\" x=\"337.402344\"/>\n", " </g>\n", " </g>\n", " <g id=\"line2d_20\">\n", " <path d=\"M 357.080354 33.587815 \n", "L 365.080354 33.587815 \n", "L 373.080354 33.587815 \n", "\" style=\"fill: none; stroke: #000000; stroke-linejoin: miter\"/>\n", " </g>\n", " <g id=\"text_15\">\n", " <!-- Analytical -->\n", " <g transform=\"translate(379.480354 36.387815) scale(0.08 -0.08)\">\n", " <defs>\n", " <path id=\"DejaVuSans-41\" d=\"M 2188 4044 \n", "L 1331 1722 \n", "L 3047 1722 \n", "L 2188 4044 \n", "z\n", "M 1831 4666 \n", "L 2547 4666 \n", "L 4325 0 \n", "L 3669 0 \n", "L 3244 1197 \n", "L 1141 1197 \n", "L 716 0 \n", "L 50 0 \n", "L 1831 4666 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-6e\" d=\"M 3513 2113 \n", "L 3513 0 \n", "L 2938 0 \n", "L 2938 2094 \n", "Q 2938 2591 2744 2837 \n", "Q 2550 3084 2163 3084 \n", "Q 1697 3084 1428 2787 \n", "Q 1159 2491 1159 1978 \n", "L 1159 0 \n", "L 581 0 \n", "L 581 3500 \n", "L 1159 3500 \n", "L 1159 2956 \n", "Q 1366 3272 1645 3428 \n", "Q 1925 3584 2291 3584 \n", "Q 2894 3584 3203 3211 \n", "Q 3513 2838 3513 2113 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-6c\" d=\"M 603 4863 \n", "L 1178 4863 \n", "L 1178 0 \n", "L 603 0 \n", "L 603 4863 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-74\" d=\"M 1172 4494 \n", "L 1172 3500 \n", "L 2356 3500 \n", "L 2356 3053 \n", "L 1172 3053 \n", "L 1172 1153 \n", "Q 1172 725 1289 603 \n", "Q 1406 481 1766 481 \n", "L 2356 481 \n", "L 2356 0 \n", "L 1766 0 \n", "Q 1100 0 847 248 \n", "Q 594 497 594 1153 \n", "L 594 3053 \n", "L 172 3053 \n", "L 172 3500 \n", "L 594 3500 \n", "L 594 4494 \n", "L 1172 4494 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-69\" d=\"M 603 3500 \n", "L 1178 3500 \n", "L 1178 0 \n", "L 603 0 \n", "L 603 3500 \n", "z\n", "M 603 4863 \n", "L 1178 4863 \n", "L 1178 4134 \n", "L 603 4134 \n", "L 603 4863 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-63\" d=\"M 3122 3366 \n", "L 3122 2828 \n", "Q 2878 2963 2633 3030 \n", "Q 2388 3097 2138 3097 \n", "Q 1578 3097 1268 2742 \n", "Q 959 2388 959 1747 \n", "Q 959 1106 1268 751 \n", "Q 1578 397 2138 397 \n", "Q 2388 397 2633 464 \n", "Q 2878 531 3122 666 \n", "L 3122 134 \n", "Q 2881 22 2623 -34 \n", "Q 2366 -91 2075 -91 \n", "Q 1284 -91 818 406 \n", "Q 353 903 353 1747 \n", "Q 353 2603 823 3093 \n", "Q 1294 3584 2113 3584 \n", "Q 2378 3584 2631 3529 \n", "Q 2884 3475 3122 3366 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " </defs>\n", " <use xlink:href=\"#DejaVuSans-41\"/>\n", " <use xlink:href=\"#DejaVuSans-6e\" x=\"68.408203\"/>\n", " <use xlink:href=\"#DejaVuSans-61\" x=\"131.787109\"/>\n", " <use xlink:href=\"#DejaVuSans-6c\" x=\"193.066406\"/>\n", " <use xlink:href=\"#DejaVuSans-79\" x=\"220.849609\"/>\n", " <use xlink:href=\"#DejaVuSans-74\" x=\"280.029297\"/>\n", " <use xlink:href=\"#DejaVuSans-69\" x=\"319.238281\"/>\n", " <use xlink:href=\"#DejaVuSans-63\" x=\"347.021484\"/>\n", " <use xlink:href=\"#DejaVuSans-61\" x=\"402.001953\"/>\n", " <use xlink:href=\"#DejaVuSans-6c\" x=\"463.28125\"/>\n", " </g>\n", " </g>\n", " <g id=\"line2d_21\">\n", " <path d=\"M 357.080354 45.330315 \n", "L 365.080354 45.330315 \n", "L 373.080354 45.330315 \n", "\" style=\"fill: none; stroke: #009afa; stroke-linejoin: miter\"/>\n", " </g>\n", " <g id=\"text_16\">\n", " <!-- $\\lambda$=0.0 -->\n", " <g transform=\"translate(379.480354 48.130315) scale(0.08 -0.08)\">\n", " <defs>\n", " <path id=\"DejaVuSans-Oblique-3bb\" d=\"M 2350 4316 \n", "L 3125 0 \n", "L 2516 0 \n", "L 2038 2588 \n", "L 328 0 \n", "L -281 0 \n", "L 1903 3356 \n", "L 1794 3975 \n", "Q 1725 4369 1391 4369 \n", "L 1091 4369 \n", "L 1184 4863 \n", "L 1550 4856 \n", "Q 2253 4847 2350 4316 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-3d\" d=\"M 678 2906 \n", "L 4684 2906 \n", "L 4684 2381 \n", "L 678 2381 \n", "L 678 2906 \n", "z\n", "M 678 1631 \n", "L 4684 1631 \n", "L 4684 1100 \n", "L 678 1100 \n", "L 678 1631 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " </defs>\n", " <use xlink:href=\"#DejaVuSans-Oblique-3bb\" transform=\"translate(0 0.015625)\"/>\n", " <use xlink:href=\"#DejaVuSans-3d\" transform=\"translate(59.179688 0.015625)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(142.96875 0.015625)\"/>\n", " <use xlink:href=\"#DejaVuSans-2e\" transform=\"translate(206.591797 0.015625)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(238.378906 0.015625)\"/>\n", " </g>\n", " </g>\n", " <g id=\"line2d_22\">\n", " <path d=\"M 357.080354 57.072815 \n", "L 365.080354 57.072815 \n", "L 373.080354 57.072815 \n", "\" style=\"fill: none; stroke: #e36f47; stroke-linejoin: miter\"/>\n", " </g>\n", " <g id=\"text_17\">\n", " <!-- $\\lambda$=0.4 -->\n", " <g transform=\"translate(379.480354 59.872815) scale(0.08 -0.08)\">\n", " <use xlink:href=\"#DejaVuSans-Oblique-3bb\" transform=\"translate(0 0.015625)\"/>\n", " <use xlink:href=\"#DejaVuSans-3d\" transform=\"translate(59.179688 0.015625)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(142.96875 0.015625)\"/>\n", " <use xlink:href=\"#DejaVuSans-2e\" transform=\"translate(206.591797 0.015625)\"/>\n", " <use xlink:href=\"#DejaVuSans-34\" transform=\"translate(238.378906 0.015625)\"/>\n", " </g>\n", " </g>\n", " <g id=\"line2d_23\">\n", " <path d=\"M 357.080354 68.815315 \n", "L 365.080354 68.815315 \n", "L 373.080354 68.815315 \n", "\" style=\"fill: none; stroke: #3ea44e; stroke-linejoin: miter\"/>\n", " </g>\n", " <g id=\"text_18\">\n", " <!-- $\\lambda$=0.8 -->\n", " <g transform=\"translate(379.480354 71.615315) scale(0.08 -0.08)\">\n", " <use xlink:href=\"#DejaVuSans-Oblique-3bb\" transform=\"translate(0 0.015625)\"/>\n", " <use xlink:href=\"#DejaVuSans-3d\" transform=\"translate(59.179688 0.015625)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(142.96875 0.015625)\"/>\n", " <use xlink:href=\"#DejaVuSans-2e\" transform=\"translate(206.591797 0.015625)\"/>\n", " <use xlink:href=\"#DejaVuSans-38\" transform=\"translate(235.753906 0.015625)\"/>\n", " </g>\n", " </g>\n", " <g id=\"line2d_24\">\n", " <path d=\"M 357.080354 80.557815 \n", "L 365.080354 80.557815 \n", "L 373.080354 80.557815 \n", "\" style=\"fill: none; stroke: #c371d2; stroke-linejoin: miter\"/>\n", " </g>\n", " <g id=\"text_19\">\n", " <!-- $\\lambda$=1.2 -->\n", " <g transform=\"translate(379.480354 83.357815) scale(0.08 -0.08)\">\n", " <use xlink:href=\"#DejaVuSans-Oblique-3bb\" transform=\"translate(0 0.015625)\"/>\n", " <use xlink:href=\"#DejaVuSans-3d\" transform=\"translate(59.179688 0.015625)\"/>\n", " <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(142.96875 0.015625)\"/>\n", " <use xlink:href=\"#DejaVuSans-2e\" transform=\"translate(206.591797 0.015625)\"/>\n", " <use xlink:href=\"#DejaVuSans-32\" transform=\"translate(232.878906 0.015625)\"/>\n", " </g>\n", " </g>\n", " <g id=\"line2d_25\">\n", " <path d=\"M 357.080354 92.300315 \n", "L 365.080354 92.300315 \n", "L 373.080354 92.300315 \n", "\" style=\"fill: none; stroke: #ac8e18; stroke-linejoin: miter\"/>\n", " </g>\n", " <g id=\"text_20\">\n", " <!-- $\\lambda$=1.6 -->\n", " <g transform=\"translate(379.480354 95.100315) scale(0.08 -0.08)\">\n", " <use xlink:href=\"#DejaVuSans-Oblique-3bb\" transform=\"translate(0 0.015625)\"/>\n", " <use xlink:href=\"#DejaVuSans-3d\" transform=\"translate(59.179688 0.015625)\"/>\n", " <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(142.96875 0.015625)\"/>\n", " <use xlink:href=\"#DejaVuSans-2e\" transform=\"translate(206.591797 0.015625)\"/>\n", " <use xlink:href=\"#DejaVuSans-36\" transform=\"translate(238.378906 0.015625)\"/>\n", " </g>\n", " </g>\n", " <g id=\"line2d_26\">\n", " <path d=\"M 357.080354 104.042815 \n", "L 365.080354 104.042815 \n", "L 373.080354 104.042815 \n", "\" style=\"fill: none; stroke: #00aaae; stroke-linejoin: miter\"/>\n", " </g>\n", " <g id=\"text_21\">\n", " <!-- $\\lambda$=1.8 -->\n", " <g transform=\"translate(379.480354 106.842815) scale(0.08 -0.08)\">\n", " <use xlink:href=\"#DejaVuSans-Oblique-3bb\" transform=\"translate(0 0.015625)\"/>\n", " <use xlink:href=\"#DejaVuSans-3d\" transform=\"translate(59.179688 0.015625)\"/>\n", " <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(142.96875 0.015625)\"/>\n", " <use xlink:href=\"#DejaVuSans-2e\" transform=\"translate(206.591797 0.015625)\"/>\n", " <use xlink:href=\"#DejaVuSans-38\" transform=\"translate(235.753906 0.015625)\"/>\n", " </g>\n", " </g>\n", " <g id=\"line2d_27\">\n", " <path d=\"M 357.080354 115.785315 \n", "L 365.080354 115.785315 \n", "L 373.080354 115.785315 \n", "\" style=\"fill: none; stroke: #ed5e93; stroke-linejoin: miter\"/>\n", " </g>\n", " <g id=\"text_22\">\n", " <!-- $\\lambda$=2.0 -->\n", " <g transform=\"translate(379.480354 118.585315) scale(0.08 -0.08)\">\n", " <use xlink:href=\"#DejaVuSans-Oblique-3bb\" transform=\"translate(0 0.015625)\"/>\n", " <use xlink:href=\"#DejaVuSans-3d\" transform=\"translate(59.179688 0.015625)\"/>\n", " <use xlink:href=\"#DejaVuSans-32\" transform=\"translate(142.96875 0.015625)\"/>\n", " <use xlink:href=\"#DejaVuSans-2e\" transform=\"translate(206.591797 0.015625)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(238.378906 0.015625)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " </g>\n", " </g>\n", " <defs>\n", " <clipPath id=\"pee10135e9d\">\n", " <rect x=\"34.763856\" y=\"8.166565\" width=\"394.401498\" height=\"248.326869\"/>\n", " </clipPath>\n", " </defs>\n", "</svg>\n" ] }, "metadata": {}, "execution_count": 4 } ], "cell_type": "code", "source": [ "# set up the plot\n", "plot(\n", " xlim = (-0.25, 1.1),\n", " xticks = -0.25:0.25:1.0,\n", " xlabel = \"x/L\",\n", " ylim = (-0.05, 0.8),\n", " yticks = 0.0:0.2:0.8,\n", " ylabel = \"y/L\",\n", " aspect_ratio = 1.0,\n", " grid = false,\n", " overwrite_figure=false\n", " )\n", "\n", "# create dummy legend entries for GXBeam and Analytical\n", "scatter!([], [], color=:black, label=\"GXBeam\")\n", "plot!([], [], color=:black, label=\"Analytical\")\n", "\n", "# plot the data\n", "for i = 1:length(M)\n", "\n", " local x, y\n", "\n", " # GXBeam\n", " x = [assembly.points[ipoint][1] + states[i].points[ipoint].u[1] for ipoint =\n", " 1:length(assembly.points)]\n", " y = [assembly.points[ipoint][2] + states[i].points[ipoint].u[2] for ipoint =\n", " 1:length(assembly.points)]\n", " scatter!(x/L, y/L, label=\"\", color = i)\n", "\n", " # Analytical\n", " x0 = range(0, L, length=100)\n", " deflection = analytical.(x0, E*Iyy/M[i])\n", " x = (x0 + getindex.(deflection, 1))\n", " y = getindex.(deflection, 2)\n", " plot!(x/L, y/L, label=\"\\$\\\\lambda\\$=$(λ[i])\", color=i)\n", "end\n", "plot!()" ], "metadata": {}, "execution_count": 4 }, { "cell_type": "markdown", "source": [ "## Grid Convergence Study" ], "metadata": {} }, { "cell_type": "markdown", "source": [ "We can use this problem to test the accuracy and convergence of this package. To do so\n", "we set $\\lambda = 1$ and repeat the analysis for a variety of grid sizes. We measure\n", "the normalized tip displacement error $\\varepsilon(u)$ using the following expression\n", "$$\n", "\\varepsilon(u) = \\left| \\frac{u - u^a}{u^a} \\right|\n", "$$\n", "where $u$ is the calculated tip displacement (at x=L) and $u^a$ is the analytical\n", "tip displacement." ], "metadata": {} }, { "outputs": [], "cell_type": "code", "source": [ "grid_sizes = unique(round.(Int, 10 .^ range(0,3,length=25)))\n", "\n", "L = 12 # inches\n", "h = w = 1 # inches\n", "E = 30e6 # lb/in^4 Young's Modulus\n", "\n", "A = h*w\n", "Iyy = w*h^3/12\n", "Izz = w^3*h/12\n", "\n", "# bending moment (applied at end)\n", "λ = 1.0\n", "m = pi*E*Iyy/L\n", "M = λ*m\n", "\n", "# run an analysis for each grid size\n", "states = Vector{AssemblyState{Float64}}(undef, length(grid_sizes))\n", "for (igrid, nelem) in enumerate(grid_sizes)\n", "\n", " local x, y, z, points, start, stop, compliance, assembly, system\n", "\n", " # create points\n", " x = range(0, L, length=nelem+1)\n", " y = zero(x)\n", " z = zero(x)\n", " points = [[x[i],y[i],z[i]] for i = 1:length(x)]\n", "\n", " # index of endpoints of each beam element\n", " start = 1:nelem\n", " stop = 2:nelem+1\n", "\n", " # compliance matrix for each beam element\n", " compliance = fill(Diagonal([1/(E*A), 0, 0, 0, 1/(E*Iyy), 1/(E*Izz)]), nelem)\n", "\n", " # create assembly of interconnected nonlinear beams\n", " assembly = Assembly(points, start, stop, compliance=compliance)\n", "\n", " # create dictionary of prescribed conditions\n", " prescribed_conditions = Dict(\n", " # fixed left side\n", " 1 => PrescribedConditions(ux=0, uy=0, uz=0, theta_x=0, theta_y=0, theta_z=0),\n", " # moment on right side\n", " nelem+1 => PrescribedConditions(Mz = M)\n", " )\n", "\n", " # perform a static analysis\n", " system, states[igrid], converged = static_analysis(assembly;\n", " prescribed_conditions = prescribed_conditions)\n", "\n", "end\n", "\n", "nothing #hide" ], "metadata": {}, "execution_count": 5 }, { "outputs": [], "cell_type": "code", "source": [ "# calculate analytical solution\n", "dxa, dya = analytical(L, E*Iyy/M)\n", "\n", "# extract computational solution\n", "dx = [states[igrid].points[end].u[1] for igrid = 1:length(grid_sizes)]\n", "dy = [states[igrid].points[end].u[2] for igrid = 1:length(grid_sizes)]\n", "\n", "# compute error\n", "εx = abs.((dx .- dxa) ./ dxa)\n", "εy = abs.((dy .- dya) ./ dya)\n", "\n", "nothing #hide" ], "metadata": {}, "execution_count": 6 }, { "outputs": [], "cell_type": "code", "source": [ "using Plots\n", "pyplot()\n", "nothing #hide" ], "metadata": {}, "execution_count": 7 }, { "outputs": [ { "output_type": "execute_result", "data": { "text/plain": "Plot{Plots.PyPlotBackend() n=1}", "image/png": "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", "text/html": [ "<img src=\"data:image/png;base64,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\" />" ], "image/svg+xml": [ "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n", "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n", " \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n", "<svg xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"432pt\" height=\"288pt\" viewBox=\"0 0 432 288\" xmlns=\"http://www.w3.org/2000/svg\" version=\"1.1\">\n", " <metadata>\n", " <rdf:RDF xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n", " <cc:Work>\n", " <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n", " <dc:date>2023-04-05T00:49:28.247392</dc:date>\n", " <dc:format>image/svg+xml</dc:format>\n", " <dc:creator>\n", " <cc:Agent>\n", " <dc:title>Matplotlib v3.7.1, https://matplotlib.org/</dc:title>\n", " </cc:Agent>\n", " </dc:creator>\n", " </cc:Work>\n", " </rdf:RDF>\n", " </metadata>\n", " <defs>\n", " <style type=\"text/css\">*{stroke-linejoin: round; stroke-linecap: butt}</style>\n", " </defs>\n", " <g id=\"figure_1\">\n", " <g id=\"patch_1\">\n", " <path d=\"M 0 288 \n", "L 432 288 \n", "L 432 0 \n", "L 0 0 \n", "z\n", "\" style=\"fill: #ffffff\"/>\n", " </g>\n", " <g id=\"axes_1\">\n", " <g id=\"patch_2\">\n", " <path d=\"M 43.244161 256.929354 \n", "L 421.78761 256.929354 \n", "L 421.78761 7.082646 \n", "L 43.244161 7.082646 \n", "z\n", "\" style=\"fill: #ffffff\"/>\n", " </g>\n", " <g id=\"matplotlib.axis_1\">\n", " <g id=\"xtick_1\">\n", " <g id=\"line2d_1\">\n", " <path d=\"M 43.244161 256.929354 \n", "L 43.244161 7.082646 \n", "\" clip-path=\"url(#p090efa99cc)\" style=\"fill: none; stroke: #000000; stroke-opacity: 0.1; stroke-width: 0.5; stroke-linecap: square\"/>\n", " </g>\n", " <g id=\"line2d_2\">\n", " <defs>\n", " <path id=\"m65dcec4a2a\" d=\"M 0 0 \n", "L 0 -2.5 \n", "\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </defs>\n", " <g>\n", " <use xlink:href=\"#m65dcec4a2a\" x=\"43.244161\" y=\"256.929354\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_1\">\n", " <!-- $10^{0}$ -->\n", " <g transform=\"translate(36.204161 266.508104) scale(0.08 -0.08)\">\n", " <defs>\n", " <path id=\"DejaVuSans-31\" d=\"M 794 531 \n", "L 1825 531 \n", "L 1825 4091 \n", "L 703 3866 \n", "L 703 4441 \n", "L 1819 4666 \n", "L 2450 4666 \n", "L 2450 531 \n", "L 3481 531 \n", "L 3481 0 \n", "L 794 0 \n", "L 794 531 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-30\" d=\"M 2034 4250 \n", "Q 1547 4250 1301 3770 \n", "Q 1056 3291 1056 2328 \n", "Q 1056 1369 1301 889 \n", "Q 1547 409 2034 409 \n", "Q 2525 409 2770 889 \n", "Q 3016 1369 3016 2328 \n", "Q 3016 3291 2770 3770 \n", "Q 2525 4250 2034 4250 \n", "z\n", "M 2034 4750 \n", "Q 2819 4750 3233 4129 \n", "Q 3647 3509 3647 2328 \n", "Q 3647 1150 3233 529 \n", "Q 2819 -91 2034 -91 \n", "Q 1250 -91 836 529 \n", "Q 422 1150 422 2328 \n", "Q 422 3509 836 4129 \n", "Q 1250 4750 2034 4750 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " </defs>\n", " <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.765625)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.765625)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(128.203125 39.046875) scale(0.7)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"xtick_2\">\n", " <g id=\"line2d_3\">\n", " <path d=\"M 169.425311 256.929354 \n", "L 169.425311 7.082646 \n", "\" clip-path=\"url(#p090efa99cc)\" style=\"fill: none; stroke: #000000; stroke-opacity: 0.1; stroke-width: 0.5; stroke-linecap: square\"/>\n", " </g>\n", " <g id=\"line2d_4\">\n", " <g>\n", " <use xlink:href=\"#m65dcec4a2a\" x=\"169.425311\" y=\"256.929354\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_2\">\n", " <!-- $10^{1}$ -->\n", " <g transform=\"translate(162.385311 266.508104) scale(0.08 -0.08)\">\n", " <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.684375)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.684375)\"/>\n", " <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(128.203125 38.965625) scale(0.7)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"xtick_3\">\n", " <g id=\"line2d_5\">\n", " <path d=\"M 295.606461 256.929354 \n", "L 295.606461 7.082646 \n", "\" clip-path=\"url(#p090efa99cc)\" style=\"fill: none; stroke: #000000; stroke-opacity: 0.1; stroke-width: 0.5; stroke-linecap: square\"/>\n", " </g>\n", " <g id=\"line2d_6\">\n", " <g>\n", " <use xlink:href=\"#m65dcec4a2a\" x=\"295.606461\" y=\"256.929354\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_3\">\n", " <!-- $10^{2}$ -->\n", " <g transform=\"translate(288.566461 266.508104) scale(0.08 -0.08)\">\n", " <defs>\n", " <path id=\"DejaVuSans-32\" d=\"M 1228 531 \n", "L 3431 531 \n", "L 3431 0 \n", "L 469 0 \n", "L 469 531 \n", "Q 828 903 1448 1529 \n", "Q 2069 2156 2228 2338 \n", "Q 2531 2678 2651 2914 \n", "Q 2772 3150 2772 3378 \n", "Q 2772 3750 2511 3984 \n", "Q 2250 4219 1831 4219 \n", "Q 1534 4219 1204 4116 \n", "Q 875 4013 500 3803 \n", "L 500 4441 \n", "Q 881 4594 1212 4672 \n", "Q 1544 4750 1819 4750 \n", "Q 2544 4750 2975 4387 \n", "Q 3406 4025 3406 3419 \n", "Q 3406 3131 3298 2873 \n", "Q 3191 2616 2906 2266 \n", "Q 2828 2175 2409 1742 \n", "Q 1991 1309 1228 531 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " </defs>\n", " <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.765625)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.765625)\"/>\n", " <use xlink:href=\"#DejaVuSans-32\" transform=\"translate(128.203125 39.046875) scale(0.7)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"xtick_4\">\n", " <g id=\"line2d_7\">\n", " <path d=\"M 421.78761 256.929354 \n", "L 421.78761 7.082646 \n", "\" clip-path=\"url(#p090efa99cc)\" style=\"fill: none; stroke: #000000; stroke-opacity: 0.1; stroke-width: 0.5; stroke-linecap: square\"/>\n", " </g>\n", " <g id=\"line2d_8\">\n", " <g>\n", " <use xlink:href=\"#m65dcec4a2a\" x=\"421.78761\" y=\"256.929354\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_4\">\n", " <!-- $10^{3}$ -->\n", " <g transform=\"translate(414.74761 266.508104) scale(0.08 -0.08)\">\n", " <defs>\n", " <path id=\"DejaVuSans-33\" d=\"M 2597 2516 \n", "Q 3050 2419 3304 2112 \n", "Q 3559 1806 3559 1356 \n", "Q 3559 666 3084 287 \n", "Q 2609 -91 1734 -91 \n", "Q 1441 -91 1130 -33 \n", "Q 819 25 488 141 \n", "L 488 750 \n", "Q 750 597 1062 519 \n", "Q 1375 441 1716 441 \n", "Q 2309 441 2620 675 \n", "Q 2931 909 2931 1356 \n", "Q 2931 1769 2642 2001 \n", "Q 2353 2234 1838 2234 \n", "L 1294 2234 \n", "L 1294 2753 \n", "L 1863 2753 \n", "Q 2328 2753 2575 2939 \n", "Q 2822 3125 2822 3475 \n", "Q 2822 3834 2567 4026 \n", "Q 2313 4219 1838 4219 \n", "Q 1578 4219 1281 4162 \n", "Q 984 4106 628 3988 \n", "L 628 4550 \n", "Q 988 4650 1302 4700 \n", "Q 1616 4750 1894 4750 \n", "Q 2613 4750 3031 4423 \n", "Q 3450 4097 3450 3541 \n", "Q 3450 3153 3228 2886 \n", "Q 3006 2619 2597 2516 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " </defs>\n", " <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.765625)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.765625)\"/>\n", " <use xlink:href=\"#DejaVuSans-33\" transform=\"translate(128.203125 39.046875) scale(0.7)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"text_5\">\n", " <!-- Number of Nodes -->\n", " <g transform=\"translate(184.402917 280.530136) scale(0.11 -0.11)\">\n", " <defs>\n", " <path id=\"DejaVuSans-4e\" d=\"M 628 4666 \n", "L 1478 4666 \n", "L 3547 763 \n", "L 3547 4666 \n", "L 4159 4666 \n", "L 4159 0 \n", "L 3309 0 \n", "L 1241 3903 \n", "L 1241 0 \n", "L 628 0 \n", "L 628 4666 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-75\" d=\"M 544 1381 \n", "L 544 3500 \n", "L 1119 3500 \n", "L 1119 1403 \n", "Q 1119 906 1312 657 \n", "Q 1506 409 1894 409 \n", "Q 2359 409 2629 706 \n", "Q 2900 1003 2900 1516 \n", "L 2900 3500 \n", "L 3475 3500 \n", "L 3475 0 \n", "L 2900 0 \n", "L 2900 538 \n", "Q 2691 219 2414 64 \n", "Q 2138 -91 1772 -91 \n", "Q 1169 -91 856 284 \n", "Q 544 659 544 1381 \n", "z\n", "M 1991 3584 \n", "L 1991 3584 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-6d\" d=\"M 3328 2828 \n", "Q 3544 3216 3844 3400 \n", "Q 4144 3584 4550 3584 \n", "Q 5097 3584 5394 3201 \n", "Q 5691 2819 5691 2113 \n", "L 5691 0 \n", "L 5113 0 \n", "L 5113 2094 \n", "Q 5113 2597 4934 2840 \n", "Q 4756 3084 4391 3084 \n", "Q 3944 3084 3684 2787 \n", "Q 3425 2491 3425 1978 \n", "L 3425 0 \n", "L 2847 0 \n", "L 2847 2094 \n", "Q 2847 2600 2669 2842 \n", "Q 2491 3084 2119 3084 \n", "Q 1678 3084 1418 2786 \n", "Q 1159 2488 1159 1978 \n", "L 1159 0 \n", "L 581 0 \n", "L 581 3500 \n", "L 1159 3500 \n", "L 1159 2956 \n", "Q 1356 3278 1631 3431 \n", "Q 1906 3584 2284 3584 \n", "Q 2666 3584 2933 3390 \n", "Q 3200 3197 3328 2828 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-62\" d=\"M 3116 1747 \n", "Q 3116 2381 2855 2742 \n", "Q 2594 3103 2138 3103 \n", "Q 1681 3103 1420 2742 \n", "Q 1159 2381 1159 1747 \n", "Q 1159 1113 1420 752 \n", "Q 1681 391 2138 391 \n", "Q 2594 391 2855 752 \n", "Q 3116 1113 3116 1747 \n", "z\n", "M 1159 2969 \n", "Q 1341 3281 1617 3432 \n", "Q 1894 3584 2278 3584 \n", "Q 2916 3584 3314 3078 \n", "Q 3713 2572 3713 1747 \n", "Q 3713 922 3314 415 \n", "Q 2916 -91 2278 -91 \n", "Q 1894 -91 1617 61 \n", "Q 1341 213 1159 525 \n", "L 1159 0 \n", "L 581 0 \n", "L 581 4863 \n", "L 1159 4863 \n", "L 1159 2969 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-65\" d=\"M 3597 1894 \n", "L 3597 1613 \n", "L 953 1613 \n", "Q 991 1019 1311 708 \n", "Q 1631 397 2203 397 \n", "Q 2534 397 2845 478 \n", "Q 3156 559 3463 722 \n", "L 3463 178 \n", "Q 3153 47 2828 -22 \n", "Q 2503 -91 2169 -91 \n", "Q 1331 -91 842 396 \n", "Q 353 884 353 1716 \n", "Q 353 2575 817 3079 \n", "Q 1281 3584 2069 3584 \n", "Q 2775 3584 3186 3129 \n", "Q 3597 2675 3597 1894 \n", "z\n", "M 3022 2063 \n", "Q 3016 2534 2758 2815 \n", "Q 2500 3097 2075 3097 \n", "Q 1594 3097 1305 2825 \n", "Q 1016 2553 972 2059 \n", "L 3022 2063 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-72\" d=\"M 2631 2963 \n", "Q 2534 3019 2420 3045 \n", "Q 2306 3072 2169 3072 \n", "Q 1681 3072 1420 2755 \n", "Q 1159 2438 1159 1844 \n", "L 1159 0 \n", "L 581 0 \n", "L 581 3500 \n", "L 1159 3500 \n", "L 1159 2956 \n", "Q 1341 3275 1631 3429 \n", "Q 1922 3584 2338 3584 \n", "Q 2397 3584 2469 3576 \n", "Q 2541 3569 2628 3553 \n", "L 2631 2963 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-20\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-6f\" d=\"M 1959 3097 \n", "Q 1497 3097 1228 2736 \n", "Q 959 2375 959 1747 \n", "Q 959 1119 1226 758 \n", "Q 1494 397 1959 397 \n", "Q 2419 397 2687 759 \n", "Q 2956 1122 2956 1747 \n", "Q 2956 2369 2687 2733 \n", "Q 2419 3097 1959 3097 \n", "z\n", "M 1959 3584 \n", "Q 2709 3584 3137 3096 \n", "Q 3566 2609 3566 1747 \n", "Q 3566 888 3137 398 \n", "Q 2709 -91 1959 -91 \n", "Q 1206 -91 779 398 \n", "Q 353 888 353 1747 \n", "Q 353 2609 779 3096 \n", "Q 1206 3584 1959 3584 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-66\" d=\"M 2375 4863 \n", "L 2375 4384 \n", "L 1825 4384 \n", "Q 1516 4384 1395 4259 \n", "Q 1275 4134 1275 3809 \n", "L 1275 3500 \n", "L 2222 3500 \n", "L 2222 3053 \n", "L 1275 3053 \n", "L 1275 0 \n", "L 697 0 \n", "L 697 3053 \n", "L 147 3053 \n", "L 147 3500 \n", "L 697 3500 \n", "L 697 3744 \n", "Q 697 4328 969 4595 \n", "Q 1241 4863 1831 4863 \n", "L 2375 4863 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-64\" d=\"M 2906 2969 \n", "L 2906 4863 \n", "L 3481 4863 \n", "L 3481 0 \n", "L 2906 0 \n", "L 2906 525 \n", "Q 2725 213 2448 61 \n", "Q 2172 -91 1784 -91 \n", "Q 1150 -91 751 415 \n", "Q 353 922 353 1747 \n", "Q 353 2572 751 3078 \n", "Q 1150 3584 1784 3584 \n", "Q 2172 3584 2448 3432 \n", "Q 2725 3281 2906 2969 \n", "z\n", "M 947 1747 \n", "Q 947 1113 1208 752 \n", "Q 1469 391 1925 391 \n", "Q 2381 391 2643 752 \n", "Q 2906 1113 2906 1747 \n", "Q 2906 2381 2643 2742 \n", "Q 2381 3103 1925 3103 \n", "Q 1469 3103 1208 2742 \n", "Q 947 2381 947 1747 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-73\" d=\"M 2834 3397 \n", "L 2834 2853 \n", "Q 2591 2978 2328 3040 \n", "Q 2066 3103 1784 3103 \n", "Q 1356 3103 1142 2972 \n", "Q 928 2841 928 2578 \n", "Q 928 2378 1081 2264 \n", "Q 1234 2150 1697 2047 \n", "L 1894 2003 \n", "Q 2506 1872 2764 1633 \n", "Q 3022 1394 3022 966 \n", "Q 3022 478 2636 193 \n", "Q 2250 -91 1575 -91 \n", "Q 1294 -91 989 -36 \n", "Q 684 19 347 128 \n", "L 347 722 \n", "Q 666 556 975 473 \n", "Q 1284 391 1588 391 \n", "Q 1994 391 2212 530 \n", "Q 2431 669 2431 922 \n", "Q 2431 1156 2273 1281 \n", "Q 2116 1406 1581 1522 \n", "L 1381 1569 \n", "Q 847 1681 609 1914 \n", "Q 372 2147 372 2553 \n", "Q 372 3047 722 3315 \n", "Q 1072 3584 1716 3584 \n", "Q 2034 3584 2315 3537 \n", "Q 2597 3491 2834 3397 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " </defs>\n", " <use xlink:href=\"#DejaVuSans-4e\"/>\n", " <use xlink:href=\"#DejaVuSans-75\" x=\"74.804688\"/>\n", " <use xlink:href=\"#DejaVuSans-6d\" x=\"138.183594\"/>\n", " <use xlink:href=\"#DejaVuSans-62\" x=\"235.595703\"/>\n", " <use xlink:href=\"#DejaVuSans-65\" x=\"299.072266\"/>\n", " <use xlink:href=\"#DejaVuSans-72\" x=\"360.595703\"/>\n", " <use xlink:href=\"#DejaVuSans-20\" x=\"401.708984\"/>\n", " <use xlink:href=\"#DejaVuSans-6f\" x=\"433.496094\"/>\n", " <use xlink:href=\"#DejaVuSans-66\" x=\"494.677734\"/>\n", " <use xlink:href=\"#DejaVuSans-20\" x=\"529.882812\"/>\n", " <use xlink:href=\"#DejaVuSans-4e\" x=\"561.669922\"/>\n", " <use xlink:href=\"#DejaVuSans-6f\" x=\"636.474609\"/>\n", " <use xlink:href=\"#DejaVuSans-64\" x=\"697.65625\"/>\n", " <use xlink:href=\"#DejaVuSans-65\" x=\"761.132812\"/>\n", " <use xlink:href=\"#DejaVuSans-73\" x=\"822.65625\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"matplotlib.axis_2\">\n", " <g id=\"ytick_1\">\n", " <g id=\"line2d_9\">\n", " <path d=\"M 43.244161 7.082646 \n", "L 421.78761 7.082646 \n", "\" clip-path=\"url(#p090efa99cc)\" style=\"fill: none; stroke: #000000; stroke-opacity: 0.1; stroke-width: 0.5; stroke-linecap: square\"/>\n", " </g>\n", " <g id=\"line2d_10\">\n", " <defs>\n", " <path id=\"mf89cb4ae17\" d=\"M 0 0 \n", "L 2.5 0 \n", "\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </defs>\n", " <g>\n", " <use xlink:href=\"#mf89cb4ae17\" x=\"43.244161\" y=\"7.082646\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_6\">\n", " <!-- $10^{0}$ -->\n", " <g transform=\"translate(25.664161 10.122021) scale(0.08 -0.08)\">\n", " <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.765625)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.765625)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(128.203125 39.046875) scale(0.7)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"ytick_2\">\n", " <g id=\"line2d_11\">\n", " <path d=\"M 43.244161 43.391543 \n", "L 421.78761 43.391543 \n", "\" clip-path=\"url(#p090efa99cc)\" style=\"fill: none; stroke: #000000; stroke-opacity: 0.1; stroke-width: 0.5; stroke-linecap: square\"/>\n", " </g>\n", " <g id=\"line2d_12\">\n", " <g>\n", " <use xlink:href=\"#mf89cb4ae17\" x=\"43.244161\" y=\"43.391543\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_7\">\n", " <!-- $10^{-1}$ -->\n", " <g transform=\"translate(20.944161 46.430918) scale(0.08 -0.08)\">\n", " <defs>\n", " <path id=\"DejaVuSans-2212\" d=\"M 678 2272 \n", "L 4684 2272 \n", "L 4684 1741 \n", "L 678 1741 \n", "L 678 2272 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " </defs>\n", " <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.684375)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.684375)\"/>\n", " <use xlink:href=\"#DejaVuSans-2212\" transform=\"translate(128.203125 38.965625) scale(0.7)\"/>\n", " <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(186.855469 38.965625) scale(0.7)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"ytick_3\">\n", " <g id=\"line2d_13\">\n", " <path d=\"M 43.244161 79.70044 \n", "L 421.78761 79.70044 \n", "\" clip-path=\"url(#p090efa99cc)\" style=\"fill: none; stroke: #000000; stroke-opacity: 0.1; stroke-width: 0.5; stroke-linecap: square\"/>\n", " </g>\n", " <g id=\"line2d_14\">\n", " <g>\n", " <use xlink:href=\"#mf89cb4ae17\" x=\"43.244161\" y=\"79.70044\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_8\">\n", " <!-- $10^{-2}$ -->\n", " <g transform=\"translate(20.944161 82.739815) scale(0.08 -0.08)\">\n", " <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.765625)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.765625)\"/>\n", " <use xlink:href=\"#DejaVuSans-2212\" transform=\"translate(128.203125 39.046875) scale(0.7)\"/>\n", " <use xlink:href=\"#DejaVuSans-32\" transform=\"translate(186.855469 39.046875) scale(0.7)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"ytick_4\">\n", " <g id=\"line2d_15\">\n", " <path d=\"M 43.244161 116.009337 \n", "L 421.78761 116.009337 \n", "\" clip-path=\"url(#p090efa99cc)\" style=\"fill: none; stroke: #000000; stroke-opacity: 0.1; stroke-width: 0.5; stroke-linecap: square\"/>\n", " </g>\n", " <g id=\"line2d_16\">\n", " <g>\n", " <use xlink:href=\"#mf89cb4ae17\" x=\"43.244161\" y=\"116.009337\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_9\">\n", " <!-- $10^{-3}$ -->\n", " <g transform=\"translate(20.944161 119.048712) scale(0.08 -0.08)\">\n", " <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.765625)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.765625)\"/>\n", " <use xlink:href=\"#DejaVuSans-2212\" transform=\"translate(128.203125 39.046875) scale(0.7)\"/>\n", " <use xlink:href=\"#DejaVuSans-33\" transform=\"translate(186.855469 39.046875) scale(0.7)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"ytick_5\">\n", " <g id=\"line2d_17\">\n", " <path d=\"M 43.244161 152.318234 \n", "L 421.78761 152.318234 \n", "\" clip-path=\"url(#p090efa99cc)\" style=\"fill: none; stroke: #000000; stroke-opacity: 0.1; stroke-width: 0.5; stroke-linecap: square\"/>\n", " </g>\n", " <g id=\"line2d_18\">\n", " <g>\n", " <use xlink:href=\"#mf89cb4ae17\" x=\"43.244161\" y=\"152.318234\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_10\">\n", " <!-- $10^{-4}$ -->\n", " <g transform=\"translate(20.944161 155.357609) scale(0.08 -0.08)\">\n", " <defs>\n", " <path id=\"DejaVuSans-34\" d=\"M 2419 4116 \n", "L 825 1625 \n", "L 2419 1625 \n", "L 2419 4116 \n", "z\n", "M 2253 4666 \n", "L 3047 4666 \n", "L 3047 1625 \n", "L 3713 1625 \n", "L 3713 1100 \n", "L 3047 1100 \n", "L 3047 0 \n", "L 2419 0 \n", "L 2419 1100 \n", "L 313 1100 \n", "L 313 1709 \n", "L 2253 4666 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " </defs>\n", " <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.684375)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.684375)\"/>\n", " <use xlink:href=\"#DejaVuSans-2212\" transform=\"translate(128.203125 38.965625) scale(0.7)\"/>\n", " <use xlink:href=\"#DejaVuSans-34\" transform=\"translate(186.855469 38.965625) scale(0.7)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"ytick_6\">\n", " <g id=\"line2d_19\">\n", " <path d=\"M 43.244161 188.627131 \n", "L 421.78761 188.627131 \n", "\" clip-path=\"url(#p090efa99cc)\" style=\"fill: none; stroke: #000000; stroke-opacity: 0.1; stroke-width: 0.5; stroke-linecap: square\"/>\n", " </g>\n", " <g id=\"line2d_20\">\n", " <g>\n", " <use xlink:href=\"#mf89cb4ae17\" x=\"43.244161\" y=\"188.627131\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_11\">\n", " <!-- $10^{-5}$ -->\n", " <g transform=\"translate(20.944161 191.666506) scale(0.08 -0.08)\">\n", " <defs>\n", " <path id=\"DejaVuSans-35\" d=\"M 691 4666 \n", "L 3169 4666 \n", "L 3169 4134 \n", "L 1269 4134 \n", "L 1269 2991 \n", "Q 1406 3038 1543 3061 \n", "Q 1681 3084 1819 3084 \n", "Q 2600 3084 3056 2656 \n", "Q 3513 2228 3513 1497 \n", "Q 3513 744 3044 326 \n", "Q 2575 -91 1722 -91 \n", "Q 1428 -91 1123 -41 \n", "Q 819 9 494 109 \n", "L 494 744 \n", "Q 775 591 1075 516 \n", "Q 1375 441 1709 441 \n", "Q 2250 441 2565 725 \n", "Q 2881 1009 2881 1497 \n", "Q 2881 1984 2565 2268 \n", "Q 2250 2553 1709 2553 \n", "Q 1456 2553 1204 2497 \n", "Q 953 2441 691 2322 \n", "L 691 4666 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " </defs>\n", " <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.684375)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.684375)\"/>\n", " <use xlink:href=\"#DejaVuSans-2212\" transform=\"translate(128.203125 38.965625) scale(0.7)\"/>\n", " <use xlink:href=\"#DejaVuSans-35\" transform=\"translate(186.855469 38.965625) scale(0.7)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"ytick_7\">\n", " <g id=\"line2d_21\">\n", " <path d=\"M 43.244161 224.936028 \n", "L 421.78761 224.936028 \n", "\" clip-path=\"url(#p090efa99cc)\" style=\"fill: none; stroke: #000000; stroke-opacity: 0.1; stroke-width: 0.5; stroke-linecap: square\"/>\n", " </g>\n", " <g id=\"line2d_22\">\n", " <g>\n", " <use xlink:href=\"#mf89cb4ae17\" x=\"43.244161\" y=\"224.936028\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_12\">\n", " <!-- $10^{-6}$ -->\n", " <g transform=\"translate(20.944161 227.975403) scale(0.08 -0.08)\">\n", " <defs>\n", " <path id=\"DejaVuSans-36\" d=\"M 2113 2584 \n", "Q 1688 2584 1439 2293 \n", "Q 1191 2003 1191 1497 \n", "Q 1191 994 1439 701 \n", "Q 1688 409 2113 409 \n", "Q 2538 409 2786 701 \n", "Q 3034 994 3034 1497 \n", "Q 3034 2003 2786 2293 \n", "Q 2538 2584 2113 2584 \n", "z\n", "M 3366 4563 \n", "L 3366 3988 \n", "Q 3128 4100 2886 4159 \n", "Q 2644 4219 2406 4219 \n", "Q 1781 4219 1451 3797 \n", "Q 1122 3375 1075 2522 \n", "Q 1259 2794 1537 2939 \n", "Q 1816 3084 2150 3084 \n", "Q 2853 3084 3261 2657 \n", "Q 3669 2231 3669 1497 \n", "Q 3669 778 3244 343 \n", "Q 2819 -91 2113 -91 \n", "Q 1303 -91 875 529 \n", "Q 447 1150 447 2328 \n", "Q 447 3434 972 4092 \n", "Q 1497 4750 2381 4750 \n", "Q 2619 4750 2861 4703 \n", "Q 3103 4656 3366 4563 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " </defs>\n", " <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.765625)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.765625)\"/>\n", " <use xlink:href=\"#DejaVuSans-2212\" transform=\"translate(128.203125 39.046875) scale(0.7)\"/>\n", " <use xlink:href=\"#DejaVuSans-36\" transform=\"translate(186.855469 39.046875) scale(0.7)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"text_13\">\n", " <!-- $\\varepsilon(u_x)$ -->\n", " <g transform=\"translate(14.656504 145.206) rotate(-90) scale(0.11 -0.11)\">\n", " <defs>\n", " <path id=\"DejaVuSans-Oblique-3b5\" d=\"M 1263 1888 \n", "Q 925 1963 778 2166 \n", "Q 669 2309 669 2503 \n", "Q 669 3034 1175 3344 \n", "Q 1575 3588 2188 3588 \n", "Q 2425 3588 2684 3550 \n", "Q 2944 3513 3234 3438 \n", "L 3134 2916 \n", "Q 2847 3006 2606 3047 \n", "Q 2359 3088 2138 3088 \n", "Q 1766 3088 1522 2944 \n", "Q 1228 2772 1228 2522 \n", "Q 1228 2356 1381 2241 \n", "Q 1563 2103 1925 2103 \n", "L 2409 2103 \n", "L 2319 1628 \n", "L 1856 1628 \n", "Q 1425 1628 1172 1469 \n", "Q 828 1253 828 916 \n", "Q 828 703 1013 563 \n", "Q 1244 388 1716 388 \n", "Q 2006 388 2284 444 \n", "Q 2563 503 2806 619 \n", "L 2700 84 \n", "Q 2403 -3 2131 -47 \n", "Q 1859 -91 1609 -91 \n", "Q 866 -91 516 194 \n", "Q 250 413 250 781 \n", "Q 250 1278 600 1584 \n", "Q 859 1813 1263 1888 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-28\" d=\"M 1984 4856 \n", "Q 1566 4138 1362 3434 \n", "Q 1159 2731 1159 2009 \n", "Q 1159 1288 1364 580 \n", "Q 1569 -128 1984 -844 \n", "L 1484 -844 \n", "Q 1016 -109 783 600 \n", "Q 550 1309 550 2009 \n", "Q 550 2706 781 3412 \n", "Q 1013 4119 1484 4856 \n", "L 1984 4856 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-Oblique-75\" d=\"M 428 1388 \n", "L 838 3500 \n", "L 1416 3500 \n", "L 1006 1409 \n", "Q 975 1256 961 1147 \n", "Q 947 1038 947 966 \n", "Q 947 700 1109 554 \n", "Q 1272 409 1569 409 \n", "Q 2031 409 2368 721 \n", "Q 2706 1034 2809 1563 \n", "L 3194 3500 \n", "L 3769 3500 \n", "L 3091 0 \n", "L 2516 0 \n", "L 2631 550 \n", "Q 2388 244 2052 76 \n", "Q 1716 -91 1338 -91 \n", "Q 878 -91 622 161 \n", "Q 366 413 366 863 \n", "Q 366 956 381 1097 \n", "Q 397 1238 428 1388 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-Oblique-78\" d=\"M 3841 3500 \n", "L 2234 1784 \n", "L 3219 0 \n", "L 2559 0 \n", "L 1819 1388 \n", "L 531 0 \n", "L -166 0 \n", "L 1556 1844 \n", "L 641 3500 \n", "L 1300 3500 \n", "L 1972 2234 \n", "L 3144 3500 \n", "L 3841 3500 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-29\" d=\"M 513 4856 \n", "L 1013 4856 \n", "Q 1481 4119 1714 3412 \n", "Q 1947 2706 1947 2009 \n", "Q 1947 1309 1714 600 \n", "Q 1481 -109 1013 -844 \n", "L 513 -844 \n", "Q 928 -128 1133 580 \n", "Q 1338 1288 1338 2009 \n", "Q 1338 2731 1133 3434 \n", "Q 928 4138 513 4856 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " </defs>\n", " <use xlink:href=\"#DejaVuSans-Oblique-3b5\" transform=\"translate(0 0.125)\"/>\n", " <use xlink:href=\"#DejaVuSans-28\" transform=\"translate(54.052734 0.125)\"/>\n", " <use xlink:href=\"#DejaVuSans-Oblique-75\" transform=\"translate(93.066406 0.125)\"/>\n", " <use xlink:href=\"#DejaVuSans-Oblique-78\" transform=\"translate(156.445312 -16.28125) scale(0.7)\"/>\n", " <use xlink:href=\"#DejaVuSans-29\" transform=\"translate(200.605469 0.125)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"line2d_23\">\n", " <path d=\"M 81.228472 30.005914 \n", "L 103.447869 58.213917 \n", "L 119.212783 72.532751 \n", "L 131.441 82.132896 \n", "L 149.879603 95.291148 \n", "L 157.197094 100.230661 \n", "L 174.648287 111.588965 \n", "L 187.863914 119.906143 \n", "L 204.59876 130.198821 \n", "L 219.637838 139.285732 \n", "L 234.851996 148.366454 \n", "L 249.357089 156.946851 \n", "L 264.802469 166.02222 \n", "L 280.567383 175.23695 \n", "L 296.151736 184.310538 \n", "L 311.64469 193.304826 \n", "L 327.511747 202.496202 \n", "L 343.123374 211.524795 \n", "L 358.830694 220.597652 \n", "L 374.638808 229.720334 \n", "L 390.306473 238.755744 \n", "L 406.095715 247.856577 \n", "L 421.842383 256.929354 \n", "\" clip-path=\"url(#p090efa99cc)\" style=\"fill: none; stroke: #009afa\"/>\n", " </g>\n", " <g id=\"patch_3\">\n", " <path d=\"M 43.244161 256.929354 \n", "L 43.244161 7.082646 \n", "\" style=\"fill: none; stroke: #000000; stroke-linejoin: miter; stroke-linecap: square\"/>\n", " </g>\n", " <g id=\"patch_4\">\n", " <path d=\"M 43.244161 256.929354 \n", "L 421.78761 256.929354 \n", "\" style=\"fill: none; stroke: #000000; stroke-linejoin: miter; stroke-linecap: square\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <defs>\n", " <clipPath id=\"p090efa99cc\">\n", " <rect x=\"43.244161\" y=\"7.082646\" width=\"378.54345\" height=\"249.846709\"/>\n", " </clipPath>\n", " </defs>\n", "</svg>\n" ] }, "metadata": {}, "execution_count": 8 } ], "cell_type": "code", "source": [ "# plot the x-error\n", "p1 = plot(grid_sizes .+ 1, εx, label=\"\",\n", " xlabel = \"Number of Nodes\",\n", " xaxis=:log,\n", " xlim = (10^0, 10^3),\n", " xtick = 10.0 .^ (0:3),\n", " ylabel = \"\\$\\\\varepsilon(u_x)\\$\",\n", " yaxis=:log,\n", " ylim = (-Inf, 10^0),\n", " ytick = 10.0 .^ -(0:7),\n", " overwrite_figure=false,\n", " show=true)" ], "metadata": {}, "execution_count": 8 }, { "outputs": [ { "output_type": "execute_result", "data": { "text/plain": "Plot{Plots.PyPlotBackend() n=1}", "image/png": "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", "text/html": [ "<img src=\"data:image/png;base64,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\" />" ], "image/svg+xml": [ "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n", "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n", " \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n", "<svg xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"432pt\" height=\"288pt\" viewBox=\"0 0 432 288\" xmlns=\"http://www.w3.org/2000/svg\" version=\"1.1\">\n", " <metadata>\n", " <rdf:RDF xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n", " <cc:Work>\n", " <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n", " <dc:date>2023-04-05T00:49:29.321500</dc:date>\n", " <dc:format>image/svg+xml</dc:format>\n", " <dc:creator>\n", " <cc:Agent>\n", " <dc:title>Matplotlib v3.7.1, https://matplotlib.org/</dc:title>\n", " </cc:Agent>\n", " </dc:creator>\n", " </cc:Work>\n", " </rdf:RDF>\n", " </metadata>\n", " <defs>\n", " <style type=\"text/css\">*{stroke-linejoin: round; stroke-linecap: butt}</style>\n", " </defs>\n", " <g id=\"figure_1\">\n", " <g id=\"patch_1\">\n", " <path d=\"M 0 288 \n", "L 432 288 \n", "L 432 0 \n", "L 0 0 \n", "z\n", "\" style=\"fill: #ffffff\"/>\n", " </g>\n", " <g id=\"axes_1\">\n", " <g id=\"patch_2\">\n", " <path d=\"M 44.828161 256.929354 \n", "L 421.78761 256.929354 \n", "L 421.78761 7.082646 \n", "L 44.828161 7.082646 \n", "z\n", "\" style=\"fill: #ffffff\"/>\n", " </g>\n", " <g id=\"matplotlib.axis_1\">\n", " <g id=\"xtick_1\">\n", " <g id=\"line2d_1\">\n", " <path d=\"M 44.828161 256.929354 \n", "L 44.828161 7.082646 \n", "\" clip-path=\"url(#pa45cf6f8e3)\" style=\"fill: none; stroke: #000000; stroke-opacity: 0.1; stroke-width: 0.5; stroke-linecap: square\"/>\n", " </g>\n", " <g id=\"line2d_2\">\n", " <defs>\n", " <path id=\"m79e95b80c7\" d=\"M 0 0 \n", "L 0 -2.5 \n", "\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </defs>\n", " <g>\n", " <use xlink:href=\"#m79e95b80c7\" x=\"44.828161\" y=\"256.929354\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_1\">\n", " <!-- $10^{0}$ -->\n", " <g transform=\"translate(37.788161 266.508104) scale(0.08 -0.08)\">\n", " <defs>\n", " <path id=\"DejaVuSans-31\" d=\"M 794 531 \n", "L 1825 531 \n", "L 1825 4091 \n", "L 703 3866 \n", "L 703 4441 \n", "L 1819 4666 \n", "L 2450 4666 \n", "L 2450 531 \n", "L 3481 531 \n", "L 3481 0 \n", "L 794 0 \n", "L 794 531 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-30\" d=\"M 2034 4250 \n", "Q 1547 4250 1301 3770 \n", "Q 1056 3291 1056 2328 \n", "Q 1056 1369 1301 889 \n", "Q 1547 409 2034 409 \n", "Q 2525 409 2770 889 \n", "Q 3016 1369 3016 2328 \n", "Q 3016 3291 2770 3770 \n", "Q 2525 4250 2034 4250 \n", "z\n", "M 2034 4750 \n", "Q 2819 4750 3233 4129 \n", "Q 3647 3509 3647 2328 \n", "Q 3647 1150 3233 529 \n", "Q 2819 -91 2034 -91 \n", "Q 1250 -91 836 529 \n", "Q 422 1150 422 2328 \n", "Q 422 3509 836 4129 \n", "Q 1250 4750 2034 4750 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " </defs>\n", " <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.765625)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.765625)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(128.203125 39.046875) scale(0.7)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"xtick_2\">\n", " <g id=\"line2d_3\">\n", " <path d=\"M 170.481311 256.929354 \n", "L 170.481311 7.082646 \n", "\" clip-path=\"url(#pa45cf6f8e3)\" style=\"fill: none; stroke: #000000; stroke-opacity: 0.1; stroke-width: 0.5; stroke-linecap: square\"/>\n", " </g>\n", " <g id=\"line2d_4\">\n", " <g>\n", " <use xlink:href=\"#m79e95b80c7\" x=\"170.481311\" y=\"256.929354\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_2\">\n", " <!-- $10^{1}$ -->\n", " <g transform=\"translate(163.441311 266.508104) scale(0.08 -0.08)\">\n", " <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.684375)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.684375)\"/>\n", " <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(128.203125 38.965625) scale(0.7)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"xtick_3\">\n", " <g id=\"line2d_5\">\n", " <path d=\"M 296.134461 256.929354 \n", "L 296.134461 7.082646 \n", "\" clip-path=\"url(#pa45cf6f8e3)\" style=\"fill: none; stroke: #000000; stroke-opacity: 0.1; stroke-width: 0.5; stroke-linecap: square\"/>\n", " </g>\n", " <g id=\"line2d_6\">\n", " <g>\n", " <use xlink:href=\"#m79e95b80c7\" x=\"296.134461\" y=\"256.929354\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_3\">\n", " <!-- $10^{2}$ -->\n", " <g transform=\"translate(289.094461 266.508104) scale(0.08 -0.08)\">\n", " <defs>\n", " <path id=\"DejaVuSans-32\" d=\"M 1228 531 \n", "L 3431 531 \n", "L 3431 0 \n", "L 469 0 \n", "L 469 531 \n", "Q 828 903 1448 1529 \n", "Q 2069 2156 2228 2338 \n", "Q 2531 2678 2651 2914 \n", "Q 2772 3150 2772 3378 \n", "Q 2772 3750 2511 3984 \n", "Q 2250 4219 1831 4219 \n", "Q 1534 4219 1204 4116 \n", "Q 875 4013 500 3803 \n", "L 500 4441 \n", "Q 881 4594 1212 4672 \n", "Q 1544 4750 1819 4750 \n", "Q 2544 4750 2975 4387 \n", "Q 3406 4025 3406 3419 \n", "Q 3406 3131 3298 2873 \n", "Q 3191 2616 2906 2266 \n", "Q 2828 2175 2409 1742 \n", "Q 1991 1309 1228 531 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " </defs>\n", " <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.765625)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.765625)\"/>\n", " <use xlink:href=\"#DejaVuSans-32\" transform=\"translate(128.203125 39.046875) scale(0.7)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"xtick_4\">\n", " <g id=\"line2d_7\">\n", " <path d=\"M 421.78761 256.929354 \n", "L 421.78761 7.082646 \n", "\" clip-path=\"url(#pa45cf6f8e3)\" style=\"fill: none; stroke: #000000; stroke-opacity: 0.1; stroke-width: 0.5; stroke-linecap: square\"/>\n", " </g>\n", " <g id=\"line2d_8\">\n", " <g>\n", " <use xlink:href=\"#m79e95b80c7\" x=\"421.78761\" y=\"256.929354\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_4\">\n", " <!-- $10^{3}$ -->\n", " <g transform=\"translate(414.74761 266.508104) scale(0.08 -0.08)\">\n", " <defs>\n", " <path id=\"DejaVuSans-33\" d=\"M 2597 2516 \n", "Q 3050 2419 3304 2112 \n", "Q 3559 1806 3559 1356 \n", "Q 3559 666 3084 287 \n", "Q 2609 -91 1734 -91 \n", "Q 1441 -91 1130 -33 \n", "Q 819 25 488 141 \n", "L 488 750 \n", "Q 750 597 1062 519 \n", "Q 1375 441 1716 441 \n", "Q 2309 441 2620 675 \n", "Q 2931 909 2931 1356 \n", "Q 2931 1769 2642 2001 \n", "Q 2353 2234 1838 2234 \n", "L 1294 2234 \n", "L 1294 2753 \n", "L 1863 2753 \n", "Q 2328 2753 2575 2939 \n", "Q 2822 3125 2822 3475 \n", "Q 2822 3834 2567 4026 \n", "Q 2313 4219 1838 4219 \n", "Q 1578 4219 1281 4162 \n", "Q 984 4106 628 3988 \n", "L 628 4550 \n", "Q 988 4650 1302 4700 \n", "Q 1616 4750 1894 4750 \n", "Q 2613 4750 3031 4423 \n", "Q 3450 4097 3450 3541 \n", "Q 3450 3153 3228 2886 \n", "Q 3006 2619 2597 2516 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " </defs>\n", " <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.765625)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.765625)\"/>\n", " <use xlink:href=\"#DejaVuSans-33\" transform=\"translate(128.203125 39.046875) scale(0.7)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"text_5\">\n", " <!-- Number of Nodes -->\n", " <g transform=\"translate(185.194917 280.530136) scale(0.11 -0.11)\">\n", " <defs>\n", " <path id=\"DejaVuSans-4e\" d=\"M 628 4666 \n", "L 1478 4666 \n", "L 3547 763 \n", "L 3547 4666 \n", "L 4159 4666 \n", "L 4159 0 \n", "L 3309 0 \n", "L 1241 3903 \n", "L 1241 0 \n", "L 628 0 \n", "L 628 4666 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-75\" d=\"M 544 1381 \n", "L 544 3500 \n", "L 1119 3500 \n", "L 1119 1403 \n", "Q 1119 906 1312 657 \n", "Q 1506 409 1894 409 \n", "Q 2359 409 2629 706 \n", "Q 2900 1003 2900 1516 \n", "L 2900 3500 \n", "L 3475 3500 \n", "L 3475 0 \n", "L 2900 0 \n", "L 2900 538 \n", "Q 2691 219 2414 64 \n", "Q 2138 -91 1772 -91 \n", "Q 1169 -91 856 284 \n", "Q 544 659 544 1381 \n", "z\n", "M 1991 3584 \n", "L 1991 3584 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-6d\" d=\"M 3328 2828 \n", "Q 3544 3216 3844 3400 \n", "Q 4144 3584 4550 3584 \n", "Q 5097 3584 5394 3201 \n", "Q 5691 2819 5691 2113 \n", "L 5691 0 \n", "L 5113 0 \n", "L 5113 2094 \n", "Q 5113 2597 4934 2840 \n", "Q 4756 3084 4391 3084 \n", "Q 3944 3084 3684 2787 \n", "Q 3425 2491 3425 1978 \n", "L 3425 0 \n", "L 2847 0 \n", "L 2847 2094 \n", "Q 2847 2600 2669 2842 \n", "Q 2491 3084 2119 3084 \n", "Q 1678 3084 1418 2786 \n", "Q 1159 2488 1159 1978 \n", "L 1159 0 \n", "L 581 0 \n", "L 581 3500 \n", "L 1159 3500 \n", "L 1159 2956 \n", "Q 1356 3278 1631 3431 \n", "Q 1906 3584 2284 3584 \n", "Q 2666 3584 2933 3390 \n", "Q 3200 3197 3328 2828 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-62\" d=\"M 3116 1747 \n", "Q 3116 2381 2855 2742 \n", "Q 2594 3103 2138 3103 \n", "Q 1681 3103 1420 2742 \n", "Q 1159 2381 1159 1747 \n", "Q 1159 1113 1420 752 \n", "Q 1681 391 2138 391 \n", "Q 2594 391 2855 752 \n", "Q 3116 1113 3116 1747 \n", "z\n", "M 1159 2969 \n", "Q 1341 3281 1617 3432 \n", "Q 1894 3584 2278 3584 \n", "Q 2916 3584 3314 3078 \n", "Q 3713 2572 3713 1747 \n", "Q 3713 922 3314 415 \n", "Q 2916 -91 2278 -91 \n", "Q 1894 -91 1617 61 \n", "Q 1341 213 1159 525 \n", "L 1159 0 \n", "L 581 0 \n", "L 581 4863 \n", "L 1159 4863 \n", "L 1159 2969 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-65\" d=\"M 3597 1894 \n", "L 3597 1613 \n", "L 953 1613 \n", "Q 991 1019 1311 708 \n", "Q 1631 397 2203 397 \n", "Q 2534 397 2845 478 \n", "Q 3156 559 3463 722 \n", "L 3463 178 \n", "Q 3153 47 2828 -22 \n", "Q 2503 -91 2169 -91 \n", "Q 1331 -91 842 396 \n", "Q 353 884 353 1716 \n", "Q 353 2575 817 3079 \n", "Q 1281 3584 2069 3584 \n", "Q 2775 3584 3186 3129 \n", "Q 3597 2675 3597 1894 \n", "z\n", "M 3022 2063 \n", "Q 3016 2534 2758 2815 \n", "Q 2500 3097 2075 3097 \n", "Q 1594 3097 1305 2825 \n", "Q 1016 2553 972 2059 \n", "L 3022 2063 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-72\" d=\"M 2631 2963 \n", "Q 2534 3019 2420 3045 \n", "Q 2306 3072 2169 3072 \n", "Q 1681 3072 1420 2755 \n", "Q 1159 2438 1159 1844 \n", "L 1159 0 \n", "L 581 0 \n", "L 581 3500 \n", "L 1159 3500 \n", "L 1159 2956 \n", "Q 1341 3275 1631 3429 \n", "Q 1922 3584 2338 3584 \n", "Q 2397 3584 2469 3576 \n", "Q 2541 3569 2628 3553 \n", "L 2631 2963 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-20\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-6f\" d=\"M 1959 3097 \n", "Q 1497 3097 1228 2736 \n", "Q 959 2375 959 1747 \n", "Q 959 1119 1226 758 \n", "Q 1494 397 1959 397 \n", "Q 2419 397 2687 759 \n", "Q 2956 1122 2956 1747 \n", "Q 2956 2369 2687 2733 \n", "Q 2419 3097 1959 3097 \n", "z\n", "M 1959 3584 \n", "Q 2709 3584 3137 3096 \n", "Q 3566 2609 3566 1747 \n", "Q 3566 888 3137 398 \n", "Q 2709 -91 1959 -91 \n", "Q 1206 -91 779 398 \n", "Q 353 888 353 1747 \n", "Q 353 2609 779 3096 \n", "Q 1206 3584 1959 3584 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-66\" d=\"M 2375 4863 \n", "L 2375 4384 \n", "L 1825 4384 \n", "Q 1516 4384 1395 4259 \n", "Q 1275 4134 1275 3809 \n", "L 1275 3500 \n", "L 2222 3500 \n", "L 2222 3053 \n", "L 1275 3053 \n", "L 1275 0 \n", "L 697 0 \n", "L 697 3053 \n", "L 147 3053 \n", "L 147 3500 \n", "L 697 3500 \n", "L 697 3744 \n", "Q 697 4328 969 4595 \n", "Q 1241 4863 1831 4863 \n", "L 2375 4863 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-64\" d=\"M 2906 2969 \n", "L 2906 4863 \n", "L 3481 4863 \n", "L 3481 0 \n", "L 2906 0 \n", "L 2906 525 \n", "Q 2725 213 2448 61 \n", "Q 2172 -91 1784 -91 \n", "Q 1150 -91 751 415 \n", "Q 353 922 353 1747 \n", "Q 353 2572 751 3078 \n", "Q 1150 3584 1784 3584 \n", "Q 2172 3584 2448 3432 \n", "Q 2725 3281 2906 2969 \n", "z\n", "M 947 1747 \n", "Q 947 1113 1208 752 \n", "Q 1469 391 1925 391 \n", "Q 2381 391 2643 752 \n", "Q 2906 1113 2906 1747 \n", "Q 2906 2381 2643 2742 \n", "Q 2381 3103 1925 3103 \n", "Q 1469 3103 1208 2742 \n", "Q 947 2381 947 1747 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-73\" d=\"M 2834 3397 \n", "L 2834 2853 \n", "Q 2591 2978 2328 3040 \n", "Q 2066 3103 1784 3103 \n", "Q 1356 3103 1142 2972 \n", "Q 928 2841 928 2578 \n", "Q 928 2378 1081 2264 \n", "Q 1234 2150 1697 2047 \n", "L 1894 2003 \n", "Q 2506 1872 2764 1633 \n", "Q 3022 1394 3022 966 \n", "Q 3022 478 2636 193 \n", "Q 2250 -91 1575 -91 \n", "Q 1294 -91 989 -36 \n", "Q 684 19 347 128 \n", "L 347 722 \n", "Q 666 556 975 473 \n", "Q 1284 391 1588 391 \n", "Q 1994 391 2212 530 \n", "Q 2431 669 2431 922 \n", "Q 2431 1156 2273 1281 \n", "Q 2116 1406 1581 1522 \n", "L 1381 1569 \n", "Q 847 1681 609 1914 \n", "Q 372 2147 372 2553 \n", "Q 372 3047 722 3315 \n", "Q 1072 3584 1716 3584 \n", "Q 2034 3584 2315 3537 \n", "Q 2597 3491 2834 3397 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " </defs>\n", " <use xlink:href=\"#DejaVuSans-4e\"/>\n", " <use xlink:href=\"#DejaVuSans-75\" x=\"74.804688\"/>\n", " <use xlink:href=\"#DejaVuSans-6d\" x=\"138.183594\"/>\n", " <use xlink:href=\"#DejaVuSans-62\" x=\"235.595703\"/>\n", " <use xlink:href=\"#DejaVuSans-65\" x=\"299.072266\"/>\n", " <use xlink:href=\"#DejaVuSans-72\" x=\"360.595703\"/>\n", " <use xlink:href=\"#DejaVuSans-20\" x=\"401.708984\"/>\n", " <use xlink:href=\"#DejaVuSans-6f\" x=\"433.496094\"/>\n", " <use xlink:href=\"#DejaVuSans-66\" x=\"494.677734\"/>\n", " <use xlink:href=\"#DejaVuSans-20\" x=\"529.882812\"/>\n", " <use xlink:href=\"#DejaVuSans-4e\" x=\"561.669922\"/>\n", " <use xlink:href=\"#DejaVuSans-6f\" x=\"636.474609\"/>\n", " <use xlink:href=\"#DejaVuSans-64\" x=\"697.65625\"/>\n", " <use xlink:href=\"#DejaVuSans-65\" x=\"761.132812\"/>\n", " <use xlink:href=\"#DejaVuSans-73\" x=\"822.65625\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"matplotlib.axis_2\">\n", " <g id=\"ytick_1\">\n", " <g id=\"line2d_9\">\n", " <path d=\"M 44.828161 7.082646 \n", "L 421.78761 7.082646 \n", "\" clip-path=\"url(#pa45cf6f8e3)\" style=\"fill: none; stroke: #000000; stroke-opacity: 0.1; stroke-width: 0.5; stroke-linecap: square\"/>\n", " </g>\n", " <g id=\"line2d_10\">\n", " <defs>\n", " <path id=\"m5a3580cf2f\" d=\"M 0 0 \n", "L 2.5 0 \n", "\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </defs>\n", " <g>\n", " <use xlink:href=\"#m5a3580cf2f\" x=\"44.828161\" y=\"7.082646\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_6\">\n", " <!-- $10^{0}$ -->\n", " <g transform=\"translate(27.248161 10.122021) scale(0.08 -0.08)\">\n", " <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.765625)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.765625)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(128.203125 39.046875) scale(0.7)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"ytick_2\">\n", " <g id=\"line2d_11\">\n", " <path d=\"M 44.828161 44.807304 \n", "L 421.78761 44.807304 \n", "\" clip-path=\"url(#pa45cf6f8e3)\" style=\"fill: none; stroke: #000000; stroke-opacity: 0.1; stroke-width: 0.5; stroke-linecap: square\"/>\n", " </g>\n", " <g id=\"line2d_12\">\n", " <g>\n", " <use xlink:href=\"#m5a3580cf2f\" x=\"44.828161\" y=\"44.807304\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_7\">\n", " <!-- $10^{-1}$ -->\n", " <g transform=\"translate(22.528161 47.846679) scale(0.08 -0.08)\">\n", " <defs>\n", " <path id=\"DejaVuSans-2212\" d=\"M 678 2272 \n", "L 4684 2272 \n", "L 4684 1741 \n", "L 678 1741 \n", "L 678 2272 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " </defs>\n", " <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.684375)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.684375)\"/>\n", " <use xlink:href=\"#DejaVuSans-2212\" transform=\"translate(128.203125 38.965625) scale(0.7)\"/>\n", " <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(186.855469 38.965625) scale(0.7)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"ytick_3\">\n", " <g id=\"line2d_13\">\n", " <path d=\"M 44.828161 82.531963 \n", "L 421.78761 82.531963 \n", "\" clip-path=\"url(#pa45cf6f8e3)\" style=\"fill: none; stroke: #000000; stroke-opacity: 0.1; stroke-width: 0.5; stroke-linecap: square\"/>\n", " </g>\n", " <g id=\"line2d_14\">\n", " <g>\n", " <use xlink:href=\"#m5a3580cf2f\" x=\"44.828161\" y=\"82.531963\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_8\">\n", " <!-- $10^{-2}$ -->\n", " <g transform=\"translate(22.528161 85.571338) scale(0.08 -0.08)\">\n", " <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.765625)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.765625)\"/>\n", " <use xlink:href=\"#DejaVuSans-2212\" transform=\"translate(128.203125 39.046875) scale(0.7)\"/>\n", " <use xlink:href=\"#DejaVuSans-32\" transform=\"translate(186.855469 39.046875) scale(0.7)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"ytick_4\">\n", " <g id=\"line2d_15\">\n", " <path d=\"M 44.828161 120.256622 \n", "L 421.78761 120.256622 \n", "\" clip-path=\"url(#pa45cf6f8e3)\" style=\"fill: none; stroke: #000000; stroke-opacity: 0.1; stroke-width: 0.5; stroke-linecap: square\"/>\n", " </g>\n", " <g id=\"line2d_16\">\n", " <g>\n", " <use xlink:href=\"#m5a3580cf2f\" x=\"44.828161\" y=\"120.256622\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_9\">\n", " <!-- $10^{-3}$ -->\n", " <g transform=\"translate(22.528161 123.295997) scale(0.08 -0.08)\">\n", " <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.765625)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.765625)\"/>\n", " <use xlink:href=\"#DejaVuSans-2212\" transform=\"translate(128.203125 39.046875) scale(0.7)\"/>\n", " <use xlink:href=\"#DejaVuSans-33\" transform=\"translate(186.855469 39.046875) scale(0.7)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"ytick_5\">\n", " <g id=\"line2d_17\">\n", " <path d=\"M 44.828161 157.98128 \n", "L 421.78761 157.98128 \n", "\" clip-path=\"url(#pa45cf6f8e3)\" style=\"fill: none; stroke: #000000; stroke-opacity: 0.1; stroke-width: 0.5; stroke-linecap: square\"/>\n", " </g>\n", " <g id=\"line2d_18\">\n", " <g>\n", " <use xlink:href=\"#m5a3580cf2f\" x=\"44.828161\" y=\"157.98128\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_10\">\n", " <!-- $10^{-4}$ -->\n", " <g transform=\"translate(22.528161 161.020655) scale(0.08 -0.08)\">\n", " <defs>\n", " <path id=\"DejaVuSans-34\" d=\"M 2419 4116 \n", "L 825 1625 \n", "L 2419 1625 \n", "L 2419 4116 \n", "z\n", "M 2253 4666 \n", "L 3047 4666 \n", "L 3047 1625 \n", "L 3713 1625 \n", "L 3713 1100 \n", "L 3047 1100 \n", "L 3047 0 \n", "L 2419 0 \n", "L 2419 1100 \n", "L 313 1100 \n", "L 313 1709 \n", "L 2253 4666 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " </defs>\n", " <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.684375)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.684375)\"/>\n", " <use xlink:href=\"#DejaVuSans-2212\" transform=\"translate(128.203125 38.965625) scale(0.7)\"/>\n", " <use xlink:href=\"#DejaVuSans-34\" transform=\"translate(186.855469 38.965625) scale(0.7)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"ytick_6\">\n", " <g id=\"line2d_19\">\n", " <path d=\"M 44.828161 195.705939 \n", "L 421.78761 195.705939 \n", "\" clip-path=\"url(#pa45cf6f8e3)\" style=\"fill: none; stroke: #000000; stroke-opacity: 0.1; stroke-width: 0.5; stroke-linecap: square\"/>\n", " </g>\n", " <g id=\"line2d_20\">\n", " <g>\n", " <use xlink:href=\"#m5a3580cf2f\" x=\"44.828161\" y=\"195.705939\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_11\">\n", " <!-- $10^{-5}$ -->\n", " <g transform=\"translate(22.528161 198.745314) scale(0.08 -0.08)\">\n", " <defs>\n", " <path id=\"DejaVuSans-35\" d=\"M 691 4666 \n", "L 3169 4666 \n", "L 3169 4134 \n", "L 1269 4134 \n", "L 1269 2991 \n", "Q 1406 3038 1543 3061 \n", "Q 1681 3084 1819 3084 \n", "Q 2600 3084 3056 2656 \n", "Q 3513 2228 3513 1497 \n", "Q 3513 744 3044 326 \n", "Q 2575 -91 1722 -91 \n", "Q 1428 -91 1123 -41 \n", "Q 819 9 494 109 \n", "L 494 744 \n", "Q 775 591 1075 516 \n", "Q 1375 441 1709 441 \n", "Q 2250 441 2565 725 \n", "Q 2881 1009 2881 1497 \n", "Q 2881 1984 2565 2268 \n", "Q 2250 2553 1709 2553 \n", "Q 1456 2553 1204 2497 \n", "Q 953 2441 691 2322 \n", "L 691 4666 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " </defs>\n", " <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.684375)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.684375)\"/>\n", " <use xlink:href=\"#DejaVuSans-2212\" transform=\"translate(128.203125 38.965625) scale(0.7)\"/>\n", " <use xlink:href=\"#DejaVuSans-35\" transform=\"translate(186.855469 38.965625) scale(0.7)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"ytick_7\">\n", " <g id=\"line2d_21\">\n", " <path d=\"M 44.828161 233.430598 \n", "L 421.78761 233.430598 \n", "\" clip-path=\"url(#pa45cf6f8e3)\" style=\"fill: none; stroke: #000000; stroke-opacity: 0.1; stroke-width: 0.5; stroke-linecap: square\"/>\n", " </g>\n", " <g id=\"line2d_22\">\n", " <g>\n", " <use xlink:href=\"#m5a3580cf2f\" x=\"44.828161\" y=\"233.430598\" style=\"stroke: #000000; stroke-width: 0.5\"/>\n", " </g>\n", " </g>\n", " <g id=\"text_12\">\n", " <!-- $10^{-6}$ -->\n", " <g transform=\"translate(22.528161 236.469973) scale(0.08 -0.08)\">\n", " <defs>\n", " <path id=\"DejaVuSans-36\" d=\"M 2113 2584 \n", "Q 1688 2584 1439 2293 \n", "Q 1191 2003 1191 1497 \n", "Q 1191 994 1439 701 \n", "Q 1688 409 2113 409 \n", "Q 2538 409 2786 701 \n", "Q 3034 994 3034 1497 \n", "Q 3034 2003 2786 2293 \n", "Q 2538 2584 2113 2584 \n", "z\n", "M 3366 4563 \n", "L 3366 3988 \n", "Q 3128 4100 2886 4159 \n", "Q 2644 4219 2406 4219 \n", "Q 1781 4219 1451 3797 \n", "Q 1122 3375 1075 2522 \n", "Q 1259 2794 1537 2939 \n", "Q 1816 3084 2150 3084 \n", "Q 2853 3084 3261 2657 \n", "Q 3669 2231 3669 1497 \n", "Q 3669 778 3244 343 \n", "Q 2819 -91 2113 -91 \n", "Q 1303 -91 875 529 \n", "Q 447 1150 447 2328 \n", "Q 447 3434 972 4092 \n", "Q 1497 4750 2381 4750 \n", "Q 2619 4750 2861 4703 \n", "Q 3103 4656 3366 4563 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " </defs>\n", " <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.765625)\"/>\n", " <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.765625)\"/>\n", " <use xlink:href=\"#DejaVuSans-2212\" transform=\"translate(128.203125 39.046875) scale(0.7)\"/>\n", " <use xlink:href=\"#DejaVuSans-36\" transform=\"translate(186.855469 39.046875) scale(0.7)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"text_13\">\n", " <!-- $\\varepsilon(u_y)$ -->\n", " <g transform=\"translate(15.118161 145.206) rotate(-90) scale(0.11 -0.11)\">\n", " <defs>\n", " <path id=\"DejaVuSans-Oblique-3b5\" d=\"M 1263 1888 \n", "Q 925 1963 778 2166 \n", "Q 669 2309 669 2503 \n", "Q 669 3034 1175 3344 \n", "Q 1575 3588 2188 3588 \n", "Q 2425 3588 2684 3550 \n", "Q 2944 3513 3234 3438 \n", "L 3134 2916 \n", "Q 2847 3006 2606 3047 \n", "Q 2359 3088 2138 3088 \n", "Q 1766 3088 1522 2944 \n", "Q 1228 2772 1228 2522 \n", "Q 1228 2356 1381 2241 \n", "Q 1563 2103 1925 2103 \n", "L 2409 2103 \n", "L 2319 1628 \n", "L 1856 1628 \n", "Q 1425 1628 1172 1469 \n", "Q 828 1253 828 916 \n", "Q 828 703 1013 563 \n", "Q 1244 388 1716 388 \n", "Q 2006 388 2284 444 \n", "Q 2563 503 2806 619 \n", "L 2700 84 \n", "Q 2403 -3 2131 -47 \n", "Q 1859 -91 1609 -91 \n", "Q 866 -91 516 194 \n", "Q 250 413 250 781 \n", "Q 250 1278 600 1584 \n", "Q 859 1813 1263 1888 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-28\" d=\"M 1984 4856 \n", "Q 1566 4138 1362 3434 \n", "Q 1159 2731 1159 2009 \n", "Q 1159 1288 1364 580 \n", "Q 1569 -128 1984 -844 \n", "L 1484 -844 \n", "Q 1016 -109 783 600 \n", "Q 550 1309 550 2009 \n", "Q 550 2706 781 3412 \n", "Q 1013 4119 1484 4856 \n", "L 1984 4856 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-Oblique-75\" d=\"M 428 1388 \n", "L 838 3500 \n", "L 1416 3500 \n", "L 1006 1409 \n", "Q 975 1256 961 1147 \n", "Q 947 1038 947 966 \n", "Q 947 700 1109 554 \n", "Q 1272 409 1569 409 \n", "Q 2031 409 2368 721 \n", "Q 2706 1034 2809 1563 \n", "L 3194 3500 \n", "L 3769 3500 \n", "L 3091 0 \n", "L 2516 0 \n", "L 2631 550 \n", "Q 2388 244 2052 76 \n", "Q 1716 -91 1338 -91 \n", "Q 878 -91 622 161 \n", "Q 366 413 366 863 \n", "Q 366 956 381 1097 \n", "Q 397 1238 428 1388 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-Oblique-79\" d=\"M 1588 -325 \n", "Q 1188 -997 936 -1164 \n", "Q 684 -1331 294 -1331 \n", "L -159 -1331 \n", "L -63 -850 \n", "L 269 -850 \n", "Q 509 -850 678 -719 \n", "Q 847 -588 1056 -206 \n", "L 1234 128 \n", "L 459 3500 \n", "L 1069 3500 \n", "L 1650 819 \n", "L 3256 3500 \n", "L 3859 3500 \n", "L 1588 -325 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " <path id=\"DejaVuSans-29\" d=\"M 513 4856 \n", "L 1013 4856 \n", "Q 1481 4119 1714 3412 \n", "Q 1947 2706 1947 2009 \n", "Q 1947 1309 1714 600 \n", "Q 1481 -109 1013 -844 \n", "L 513 -844 \n", "Q 928 -128 1133 580 \n", "Q 1338 1288 1338 2009 \n", "Q 1338 2731 1133 3434 \n", "Q 928 4138 513 4856 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", " </defs>\n", " <use xlink:href=\"#DejaVuSans-Oblique-3b5\" transform=\"translate(0 0.125)\"/>\n", " <use xlink:href=\"#DejaVuSans-28\" transform=\"translate(54.052734 0.125)\"/>\n", " <use xlink:href=\"#DejaVuSans-Oblique-75\" transform=\"translate(93.066406 0.125)\"/>\n", " <use xlink:href=\"#DejaVuSans-Oblique-79\" transform=\"translate(156.445312 -16.28125) scale(0.7)\"/>\n", " <use xlink:href=\"#DejaVuSans-29\" transform=\"translate(200.605469 0.125)\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <g id=\"line2d_23\">\n", " <path d=\"M 82.653528 17.567958 \n", "L 104.779949 50.958541 \n", "L 120.478895 65.645466 \n", "L 132.655943 75.499824 \n", "L 151.017391 89.072971 \n", "L 158.304262 94.183142 \n", "L 175.682432 105.952753 \n", "L 188.842759 114.581671 \n", "L 205.507579 125.266915 \n", "L 220.483726 134.703946 \n", "L 235.63422 144.136379 \n", "L 250.078617 153.050067 \n", "L 265.459367 162.47853 \n", "L 281.158313 172.052122 \n", "L 296.677455 181.479267 \n", "L 312.105579 190.824125 \n", "L 327.90624 200.373815 \n", "L 343.452541 209.75441 \n", "L 359.094135 219.181013 \n", "L 374.836101 228.659395 \n", "L 390.438204 238.047111 \n", "L 406.161377 247.502804 \n", "L 421.842154 256.929354 \n", "\" clip-path=\"url(#pa45cf6f8e3)\" style=\"fill: none; stroke: #009afa\"/>\n", " </g>\n", " <g id=\"patch_3\">\n", " <path d=\"M 44.828161 256.929354 \n", "L 44.828161 7.082646 \n", "\" style=\"fill: none; stroke: #000000; stroke-linejoin: miter; stroke-linecap: square\"/>\n", " </g>\n", " <g id=\"patch_4\">\n", " <path d=\"M 44.828161 256.929354 \n", "L 421.78761 256.929354 \n", "\" style=\"fill: none; stroke: #000000; stroke-linejoin: miter; stroke-linecap: square\"/>\n", " </g>\n", " </g>\n", " </g>\n", " <defs>\n", " <clipPath id=\"pa45cf6f8e3\">\n", " <rect x=\"44.828161\" y=\"7.082646\" width=\"376.95945\" height=\"249.846709\"/>\n", " </clipPath>\n", " </defs>\n", "</svg>\n" ] }, "metadata": {}, "execution_count": 9 } ], "cell_type": "code", "source": [ "# plot the y-error\n", "p2 = plot(grid_sizes .+ 1, εy, label=\"\",\n", " xlabel = \"Number of Nodes\",\n", " xaxis=:log,\n", " xlim = (10^0, 10^3),\n", " xtick = 10.0 .^ (0:3),\n", " ylabel = \"\\$\\\\varepsilon(u_y)\\$\",\n", " yaxis=:log,\n", " ylim = (-Inf, 10^0),\n", " ytick = 10.0 .^ -(0:7),\n", " overwrite_figure=false,\n", " show=true)" ], "metadata": {}, "execution_count": 9 }, { "cell_type": "markdown", "source": [ "We observe second-order algebraic convergence for both x and y tip displacement errors.\n", "We can therefore conclude that a large number of elements are likely necessary in order\n", "to obtain highly accurate solutions using this package. For problems where high\n", "accuracy solutions are critical, higher order shape functions, such as the Legendre\n", "spectral finite elements used by [BeamDyn](https://www.nrel.gov/wind/nwtc/beamdyn.html)\n", "are likely more computationally efficient." ], "metadata": {} }, { "cell_type": "markdown", "source": [ "## Sensitivity Analysis" ], "metadata": {} }, { "cell_type": "markdown", "source": [ "Suppose we are interested in the sensitivity of tip x and y-displacement with respect to\n", "the nondimensional tip moment $\\lambda$ when $\\lambda=1$. As described in the\n", "`sensitivity analysis documentation`, these sensitivities may be\n", "computed using the following code:" ], "metadata": {} }, { "outputs": [ { "output_type": "execute_result", "data": { "text/plain": "2×1 Matrix{Float64}:\n -12.025539968209037\n -7.659921841992018" }, "metadata": {}, "execution_count": 10 } ], "cell_type": "code", "source": [ "using ForwardDiff\n", "\n", "# construct pfunc to overwrite prescribed conditions\n", "pfunc = (p, t) -> begin\n", "\n", " # non-dimensional tip moment\n", " λ = p[1]\n", "\n", " # dimensionalized tip moment\n", " m = pi*E*Iyy/L\n", " M = λ*m\n", "\n", " # create dictionary of prescribed conditions\n", " prescribed_conditions = Dict(\n", " # fixed left side\n", " 1 => PrescribedConditions(ux=0, uy=0, uz=0, theta_x=0, theta_y=0, theta_z=0),\n", " # moment on right side\n", " nelem+1 => PrescribedConditions(Mz = M)\n", " )\n", "\n", " # return named tuple with new arguments\n", " return (; prescribed_conditions=prescribed_conditions)\n", "end\n", "\n", "# construct objective function\n", "objfun = (p) -> begin\n", "\n", " # perform static analysis\n", " system, state, converged = static_analysis(assembly; pfunc, p)\n", "\n", " # return the desired outputs\n", " return [state.points[end].u[1], state.points[end].u[2]]\n", "end\n", "\n", "# compute sensitivities using ForwardDiff with λ = 1.0\n", "ForwardDiff.jacobian(objfun, [1.0])" ], "metadata": {}, "execution_count": 10 }, { "cell_type": "markdown", "source": [ "Note that these sensitivities are the exact sensitivities of the numerical (discretized)\n", "solution rather than the exact sensitivities of the analytic (continuous) solution. The\n", "former is more appropriate for gradient-based optimization (which operates on the\n", "discretized solution) while the latter better describes the system's actual sensitivities." ], "metadata": {} }, { "cell_type": "markdown", "source": [ "For this problem, continuous sensitivities may be derived from the analytic solution as\n", "$\\frac{d y}{d \\lambda} = -L = -12$ and $\\frac{d y}{d \\lambda} = \\frac{-2 L}{\\pi} = \\frac{-24}{\\pi}$\n", "To obtain continuous sensitivities using GXBeam, a sufficiently fine grid discretization\n", "must be used. If analytic results are not available, a grid convergence study must be\n", "performed in order to find a sufficiently fine grid discretization." ], "metadata": {} }, { "cell_type": "markdown", "source": [ "---\n", "\n", "*This notebook was generated using [Literate.jl](https://github.com/fredrikekre/Literate.jl).*" ], "metadata": {} } ], "nbformat_minor": 3, "metadata": { "language_info": { "file_extension": ".jl", "mimetype": "application/julia", "name": "julia", "version": "1.8.5" }, "kernelspec": { "name": "julia-1.8", "display_name": "Julia 1.8.5", "language": "julia" } }, "nbformat": 4 }