From c40f9aeee25c33d2d902f661a43865e5655081dd Mon Sep 17 00:00:00 2001
From: Sasiri Juliana Vargas Urbano <vargass@jupyterMiLAB>
Date: Fri, 21 May 2021 20:30:53 -0500
Subject: [PATCH] nuevas carpetas

---
 {Archi => Archi_articulo}/.gitkeep |   0
 Archi_articulo/Data10A.txt         | 101 +++++
 Archi_articulo/Data10B.txt         | 101 +++++
 Archi_articulo/Data10Desp.txt      | 101 +++++
 Archi_articulo/Data11A.txt         |   0
 Archi_articulo/Data11B.txt         |   0
 Archi_articulo/Data11Desp.txt      |   0
 Archi_articulo/Data4A.txt          |  11 +
 Archi_articulo/Data4B.txt          |  11 +
 Archi_articulo/Data4Desp.txt       |  11 +
 Archi_articulo/Data5A.txt          | 101 +++++
 Archi_articulo/Data5B.txt          | 101 +++++
 Archi_articulo/Data5Desp.txt       | 101 +++++
 Archi_articulo/Data9A.txt          | 101 +++++
 Archi_articulo/Data9B.txt          | 101 +++++
 Archi_articulo/Data9Desp.txt       | 101 +++++
 Archi_articulo/DataA.txt           | 101 +++++
 Archi_articulo/DataB.txt           | 101 +++++
 Archi_articulo/DataDesp.txt        | 101 +++++
 Archi_articulo/DataF1A.txt         | 101 +++++
 Archi_articulo/DataF1B.txt         | 101 +++++
 Archi_articulo/DataF1Desp.txt      | 101 +++++
 Graficas_articulo.ipynb            | 678 +++++++++++++++++++++++++++++
 23 files changed, 2226 insertions(+)
 rename {Archi => Archi_articulo}/.gitkeep (100%)
 create mode 100644 Archi_articulo/Data10A.txt
 create mode 100644 Archi_articulo/Data10B.txt
 create mode 100644 Archi_articulo/Data10Desp.txt
 create mode 100644 Archi_articulo/Data11A.txt
 create mode 100644 Archi_articulo/Data11B.txt
 create mode 100644 Archi_articulo/Data11Desp.txt
 create mode 100644 Archi_articulo/Data4A.txt
 create mode 100644 Archi_articulo/Data4B.txt
 create mode 100644 Archi_articulo/Data4Desp.txt
 create mode 100644 Archi_articulo/Data5A.txt
 create mode 100644 Archi_articulo/Data5B.txt
 create mode 100644 Archi_articulo/Data5Desp.txt
 create mode 100644 Archi_articulo/Data9A.txt
 create mode 100644 Archi_articulo/Data9B.txt
 create mode 100644 Archi_articulo/Data9Desp.txt
 create mode 100644 Archi_articulo/DataA.txt
 create mode 100644 Archi_articulo/DataB.txt
 create mode 100644 Archi_articulo/DataDesp.txt
 create mode 100644 Archi_articulo/DataF1A.txt
 create mode 100644 Archi_articulo/DataF1B.txt
 create mode 100644 Archi_articulo/DataF1Desp.txt
 create mode 100644 Graficas_articulo.ipynb

diff --git a/Archi/.gitkeep b/Archi_articulo/.gitkeep
similarity index 100%
rename from Archi/.gitkeep
rename to Archi_articulo/.gitkeep
diff --git a/Archi_articulo/Data10A.txt b/Archi_articulo/Data10A.txt
new file mode 100644
index 0000000..a6fb6c7
--- /dev/null
+++ b/Archi_articulo/Data10A.txt
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diff --git a/Archi_articulo/Data10B.txt b/Archi_articulo/Data10B.txt
new file mode 100644
index 0000000..0e18ade
--- /dev/null
+++ b/Archi_articulo/Data10B.txt
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diff --git a/Archi_articulo/Data10Desp.txt b/Archi_articulo/Data10Desp.txt
new file mode 100644
index 0000000..ec4e8c3
--- /dev/null
+++ b/Archi_articulo/Data10Desp.txt
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diff --git a/Archi_articulo/Data11A.txt b/Archi_articulo/Data11A.txt
new file mode 100644
index 0000000..e69de29
diff --git a/Archi_articulo/Data11B.txt b/Archi_articulo/Data11B.txt
new file mode 100644
index 0000000..e69de29
diff --git a/Archi_articulo/Data11Desp.txt b/Archi_articulo/Data11Desp.txt
new file mode 100644
index 0000000..e69de29
diff --git a/Archi_articulo/Data4A.txt b/Archi_articulo/Data4A.txt
new file mode 100644
index 0000000..bb73a9b
--- /dev/null
+++ b/Archi_articulo/Data4A.txt
@@ -0,0 +1,11 @@
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diff --git a/Archi_articulo/Data4B.txt b/Archi_articulo/Data4B.txt
new file mode 100644
index 0000000..5cbad60
--- /dev/null
+++ b/Archi_articulo/Data4B.txt
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diff --git a/Archi_articulo/Data4Desp.txt b/Archi_articulo/Data4Desp.txt
new file mode 100644
index 0000000..41b28a2
--- /dev/null
+++ b/Archi_articulo/Data4Desp.txt
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diff --git a/Archi_articulo/Data5A.txt b/Archi_articulo/Data5A.txt
new file mode 100644
index 0000000..2694ead
--- /dev/null
+++ b/Archi_articulo/Data5A.txt
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diff --git a/Archi_articulo/Data5B.txt b/Archi_articulo/Data5B.txt
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diff --git a/Archi_articulo/Data5Desp.txt b/Archi_articulo/Data5Desp.txt
new file mode 100644
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--- /dev/null
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new file mode 100644
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--- /dev/null
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new file mode 100644
index 0000000..af37fbe
--- /dev/null
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new file mode 100644
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new file mode 100644
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--- /dev/null
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new file mode 100644
index 0000000..d5fef31
--- /dev/null
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new file mode 100644
index 0000000..be98f01
--- /dev/null
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+47.0 0.00952
+48.0 0.00968
+49.0 0.00969
+50.0 0.00992
diff --git a/Archi_articulo/DataF1Desp.txt b/Archi_articulo/DataF1Desp.txt
new file mode 100644
index 0000000..0a2476b
--- /dev/null
+++ b/Archi_articulo/DataF1Desp.txt
@@ -0,0 +1,101 @@
+0.0 0.0
+1.0 0.0
+2.0 0.014
+3.0 0.027
+4.0 0.029
+5.0 0.042
+6.0 0.046
+7.0 0.054
+8.0 0.071
+9.0 0.084
+10.0 0.079
+11.0 0.058
+12.0 0.055
+13.0 0.059
+14.0 0.05
+15.0 0.041
+16.0 0.049
+17.0 0.061
+18.0 0.045
+19.0 0.029
+20.0 0.022
+21.0 0.023
+22.0 0.016
+23.0 0.013
+24.0 0.008
+25.0 0.006
+26.0 0.006
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+28.0 0.004
+29.0 0.002
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+31.0 0.0
+32.0 0.0
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+35.0 0.0
+36.0 0.0
+37.0 0.0
+38.0 0.0
+39.0 0.0
+40.0 0.0
+41.0 0.0
+42.0 0.0
+43.0 0.0
+44.0 0.0
+45.0 0.0
+46.0 0.0
+47.0 0.0
+48.0 0.0
+49.0 0.0
+50.0 0.0
+51.0 0.0
+52.0 0.0
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+82.0 0.0
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+84.0 0.0
+85.0 0.0
+86.0 0.0
+87.0 0.0
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diff --git a/Graficas_articulo.ipynb b/Graficas_articulo.ipynb
new file mode 100644
index 0000000..9595e81
--- /dev/null
+++ b/Graficas_articulo.ipynb
@@ -0,0 +1,678 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from main import *\n",
+    "from sklearn.linear_model import LinearRegression"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Función util"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def data(nombre):\n",
+    "    A=np.loadtxt('Archi_articulo/'+str(nombre)+'A.txt')[:, 1]   # Almacena concentraciones de A\n",
+    "    xA=np.loadtxt('Archi_articulo/'+str(nombre)+'A.txt')[:, 0]   # Almacena x\n",
+    "\n",
+    "    B=np.loadtxt('Archi_articulo/'+str(nombre)+'B.txt')[:, 1]  # Almacena concentraciones de B\n",
+    "    xB=np.loadtxt('Archi_articulo/'+str(nombre)+'B.txt')[:, 0]  # Almacena x\n",
+    "    \n",
+    "    D=np.loadtxt('Archi_articulo/'+str(nombre)+'Desp.txt')[:, 1] # Almacena distribución de espaciamiento\n",
+    "    z=np.loadtxt('Archi_articulo/'+str(nombre)+'Desp.txt')[:, 0] # Almacena x\n",
+    "    \n",
+    "    return [A, xA, B, xB, D, z]\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Primeras simulaciones - funcionalidad del código"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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GLkaPhlOnrFkolVLqXkpKYPW7ybQ8u462E9vj6NfH7khKuc2TxUM0cGczSKprX6nHGGOKgRtAGFYhcRO4BJwH/mSM+VZvAhF5TkT2iMiejIyMin8H7ho0CNq2hdWriW+QTPfu1pCrAwfsi6SUqto2L88mbP18WveoT+BjE3UiqGpMl+SuOnoAJUAU0AL4mYh8axyDMWaWMSbeGBMfHh5e2Rn/RcSaBa5+fZg3j5G9b9CiBSxbBhfKdRZJKVUbnD1VQs7seTRpVETkTxPAz+/+D7Kf0+l0aoVTi7j+vp2l3efJ4iENaHLH7caufaUe4zpFUQe4BjwGrDLGFBljrgBbgfuek7OVn5/VgbKkBK/5c5k+qYg6dazuEDfKNXpWKVWT3bwJB95cTaPiVFr/bALY+cOnfI5kZGTU0QKidnA6nZKRkVEHOFLa/Z4cD7QbaCMiLbCKhBlYRcGdlgJPAduBqcB6Y4wRkfPAYGCOiAQBvYD/8WDWitGggdUC8dlnBKxbxswZk3h/tvDZZ/DMM+Dre/+nUErVXMbApr8cJOzMLlo/3wefLh3sjuS24uLi76enp7+fnp4eR9VttVYVxwkcKS4u/n5pd3qseDDGFIvIi8BqwAv4wBhzVETeAPYYY5YCs7EKhNNAJlaBAfAO8E8ROQoI8E9jzCFPZa1Qbdtak0ht2EB4ZCRTp/bm009h8WKYNk1PaypVm+1fmY7/2mU07tec+tOH2h2nXLp163YFGG93DlU1eGyoZmWzbahmaYyxVsw6cQKeeIJt6S1Zs8bqV6kr6ypVO6Wfu8XBH80ivH4JXf/+HBISfP8HVQJ3h2oqdSdtevIEEWsBrbAwSEqid/ssunSBjRvh6FGbsymlKl1RoeHQawsJKsmm3b9PqzKFg1IPSosHT7ndgdLpRBLnMnZEEU2aWKcvLl2yO5xSqjLt/u/N+KacosUPRhLYtsn9H6BUFafFgyeFhVlrYFy+jPeKJSRMNwQEWCMwcnPv/3ClVPV3euUpClZvpO7AzkRP0LMDqmbQ4sHT2rSBwYPhyBGCD29n5kzIy4PERCiuVVOKKFX73Ei5zoW/LMSncQQdXx2rPaZVjaHFQ2Xo1w9iY2HtWiLzzjBpkjV51LJlVt9KpVTN4ywo4ui/J4LT0OH16Xj5+9gdSakKo8VDZbjdgbJhQ0hKIrZRJoMGwcGDsH273eGUUhXOGI79cQWF59Np9KMp1GtV3+5ESlUoLR4qi68vJCRY1xMTGdi78HZjBKdP2xtNKVWx0lfs5eq6AzgGD6L9+DZ2x1GqwmnxUJnq14epU+HKFWTJYiZOMLcbI7h2ze5wSqmKcOtUKmffWUl+kzb0fGWg3XGU8ggtHipbq1YwdCgcO4bv7q3MmAEOhzUCo6DA7nBKqYdhcm9y4rfzyCaUjv8xGT9/7SCpaiYtHuzQpw/ExcEXX1Dv6immTbNaHhYu1A6USlVbTicp/51EZmoe9Z6fTnTrALsTKeUxWjzYQQQmTICICFiwgBZ1rzNihDWb9YYNdodTSj2IrAVfcH7TOW4OHkePCZF2x1HKo7R4sIuPzzc6UPboWkTXrrB5Mxw7Zm80pVT5FB86xukPt3KlWXcG/aSzTuegajwtHuxUr561hHd6OvL5CsaMNjRuDIsWweXLdodTSrnlyhVO//diLjoa0/HlEYSE2B1IKc/T4sFuMTEwcCAcOID3oX0kJIC/P3z2mTUTpVKqCsvP5+Jbczl/yZegZxJo28Hb7kRKVQotHqqCgQOhdWv4/HNCstOYMcNa+2L+fCgpsTucUqpUxpDz4UJO784ic+h0Bo3TJgdVe2jxUBU4HNbpi5AQmDeP6Hp5jBsH587BmjV2h1NKlaZ43Ua+WnqS5PajGP1CU7y87E6kVOXR4qGqCAyE6dPh5k1ISqJzRye9e8POnbB/v93hlFLfcOIEp2dv4kxIF/r+JJ7QULsDKVW5tHioSqKiYPRoOHsWNm5k2DBo2RKWL7cW0lJKVQFXr3Lx7YWcuhlFo++PpVVrHVqhah8tHqqaRx6xts2bcZw6wdSpEBpqLeGdnW13OKVquYICsmfN5fhJL3JGJzBgsHaQVLWTFg9V0ejREBkJixYRmJ/JzJlQWGgVEMXFdodTqpYyhqL5izm2JZOz3aYx/jt1cOgnqKql9J9+VeTtbU0gJQKJiTSsV8SkSZCWZp3C0Cmslap85sstnFp6nKNRwxj2XAuCg+1OpJR9tHioqurWhSlT4MoVWLaM9u0MgwbBgQNWJ0qlVCU6dYqLH6/nMB2JebIXzZvbHUgpe2nxUJW1bg2DBsGhQ7BnDwMHQrt2sHq11adSKVUJMjPJ/ucCDqRHUDJmPP36awdJpbR4qOoGDIA2bWDVKiQtlUmTIDzcmkAqM9PucErVcIWFFH40l0OHhZSeCUyc5qPrViiFFg9Vn4g1gVRoKMybh1/xTWbMsO6aOxcKCuyNp1SNZQxm8RJObMngQOupjH+qHoGBdodSqmrQ4qE6CAiwJpDKy4OkJOrXdTJtGmRkwOLF2oFSKY/Yvp3U1UfZHTqE+IRWNG5sdyClqo57Fg8ikiMi2ffaKjOkwhq6OXasNWf1+vW0bAnDh8Px47Bpk93hlKphzp4lK2ktO3NiCRrel5497Q6kVNVyzxlOjDEhACLyW+ASMAcQ4HEgslLSqW/q0sWaanLLFoiOplev9qSnw8aN0KiR1ZlSKfWQsrIo/DSJvSnhpPedyPcnivZzUOou7py2GG+M+ZsxJscYk22M+TswwdPB1D2MGgXR0bB4MZJ5jXHjrJsLF1qjOpVSD6GoCDM3kSOHnBxom8CUmb74+9sdSqmqx53i4aaIPC4iXiLiEJHHgZueDqbuwdvb6v/g5QWJiXg7C0lIAF9f+OwzuHXL7oBKVVPGwLJlpOxMZ2vEZAZNCSNS21iVKpU7xcNjwHTgsmub5tqn7FKnjjWBVEYGLFtGaIghIcFa+2L+fHA67Q6oVDW0axfXNx1iI4OIfjSGRx6xO5BSVdd9iwdjTLIxZoIxpoExJtwYM9EYk1wJ2VRZWrWCRx+Fw4dh1y6aNLH6U549C2vX2h1OqWomOZmCpavZktGWm90GMHYs2s9BqTLcd0k4EfEHvgd0AL4++2eMecaDuZQ7+ve3FrxYvRqioujatQmXLsH27VYHys6d7Q6oVDWQnY1z3nz2p9TnaMwkvpcg+PraHUqpqs2d0xZzgEbACGAT0BjI8WQo5SYRmDTJWgdj3jzIzWXECGjeHJYts+oKpVQZioshMZGzJ4rYHJnAqEn+hIfbHUqpqs+d4qG1MebfgZvGmA+BMYBbo55FZKSInBCR0yLyi1Lu9xORRNf9O0Wk+R33dRKR7SJyVEQOu1pA1N38/a0OlPn5kJSElziZPh2Cg60ZKHO0zFOqdMbAihVcO5TGKv9JtB8Qrq11SrnJneKhyHWZJSJxQB2g4f0eJCJewDvAKCAWmCkisXcd9j3gujGmNfAW8Kbrsd7Ax8ALxpgOwKA7cqi7NWpkdXhIToZ16wgMhBkzrHpi3jzrx5VS6i5795K/fT9r8gfg3bE9I0faHUip6sOd4mGWiNQD/h1YChwD/uDG43oAp40xZ40xhcBcvj0/xATgQ9f1JGCIiAgwHDhkjDkIYIy5ZowpceM1a6/OnaF7d9i2DY4do1EjmDjRmlPq8891CmulvuHCBZwrVrL9ahuSmw9i2jTw8bE7lFLVx307TBpj3ndd3QS0LMdzRwMX7ridyrdPd3x9jDGmWERuAGFADGBEZDUQDsw1xrhTsNRuI0bApUvWghcNG9KhQwMuX4bNm63GiR497A6oVBWQkwOJiZxIr8PWiMlMnuQgLMzuUEpVL/csHkTkpbIeaIz5c8XH+Zo30A/oDuQBX4jIXmPMF3ceJCLPAc8BNG3a1INxqonbE0i9+y4kJsKzz/Loo75cvgyrVllLebdoYXdIpWxUUgLz5nHlQgHLg75Dt34BxN59MlUpdV9lnbYIcW3xwA+wWgmigRcAd6ZPSQOa3HG7sWtfqce4+jnUAa5htVJsNsZcNcbkAZ+X9prGmFnGmHhjTHy4dpG2hIbC1Klw9SosWYJgmDwZwsKsCaSysuwOqJSNVq3i1skLLJGJ1G0bwfDhdgdSqnq6Z/FgjHndGPM61pf+I8aYnxljfgZ0A9z5mb8baCMiLUTEF5iB1WfiTkuBp1zXpwLrjTEGWA10FJFAV1ExEKuvhXJHixYwZAgcPQo7d+LnZ3WgdDqtKawLC+0OqJQN9u/HuXM3X+T3JTOyA9OmWbO8K6XKz50OkxHAnV83ha59ZTLGFAMvYhUCx4F5xpijIvKGiIx3HTYbCBOR08BLwC9cj70O/BmrADkA7DPGrHDrHSlL377WMptr1kBKCmFhVoPElStWlwjtQKlqlbQ0WL6cg7kt2Vt3yNfToyilHoyY+3yLiMivsNa2WOTaNRFINMb83rPRyic+Pt7s2bPH7hhVS34+vPceFBTA889DSAhbt1rTVw8eDAMG2B1QqUpw8ya8+y4X0x380+c5ej4ayNChdoeqOlz9yeLtzqGqF3fWtvhP4Gngumt7uqoVDuoe/P0hIcEqHubPh5IS+vSBjh1hwwY4d87ugEp5WEkJzJ/PzYw85jsSiGodyODBdodSqvq7Z/EgIqGuy/pAMtY01XOAFNc+VR00bAjjx8P587BuHSLWzfr1YckSq65QqsZau5aSM8ksk/EUhkUydSo43DlZq5QqU1n/jT51Xe4F9tyx3b6tqouOHaFnT2vFrKNH8fGxJpC6ccMawqlUjXToEGb7DnbQixN+nZgyBUJC7A6lVM1wz3kejDFjXZc6M0BNMHw4XLxoNTc0bEiTJuH07QtbtkD79hATY3dApSrQpUuwdCkp0px1MoxBg6Bleaa4U0qV6b4NeCLSV0SCXNefEJE/i4jOyFTdeHnx9Ry8iYlQUMCgQRARAUuXQl6e3QGVqiB5eZCYSHZxIIklU2nZxov+/e0OpVTN4s7Zv78DeSLSGfgZcAar74OqbkJDrQIiMxOWLMHbyzBpEty6Za1/oVS153RCUhJF13OY70jAp14wkydrPwelKpo7/6WKXRM3TQDeNsa8gzXzpKqOmjeHoUPh2DHYsYNGjWDgQDhyxNqUqta++AJz5iwbAseSRjRTp0JQkN2hlKp53CkeckTkVeAJYIWIOABdf646693bmkBq7Vq4cIF+/SA6GlassNYMUqpaOnoUtm7lZGg82251ZcgQ0CVvlPIMd4qHBKAA+J4xJh1ruuo/ejSV8iwRmDAB6tSB+fNx5OcxaRIUFcGyZTr7pKqGrlyBJUu4HtyE+bmjaNsW+vSxO5RSNZc7k0SlG2P+bIz50nX7vDHmI89HUx4VEGD1f7h5ExYtokGYYehQOHkS9u+3O5xS5ZCfD3Pnkm98+bhwOsF1vJg40aqRlVKe4c5oi8kickpEbohItojkiEh2ZYRTHhYVBSNHwqlTsGULPXtaXSJWrdLVN1U1YQwsXEjJtSwWeE0nhxBmzrRqY6WU57hz2uIPwHhjTB1jTKgxJsQYE+rpYKqSxMdDXBysX4+kJH/9i00Xz1LVwqZNmBMn2eA/ktMFTZkyxRp+rJTyLHeKh8vGmOMeT6LsIQLjxlnzVSclUdc7lxEjIDkZdu60O5xSZTh5EjZu5IhXZ7bkd2fYMGjb1u5QStUO7hQPe0QkUURmuk5hTBaRyR5PpiqPnx9Mn26dO16wgK6dncTEwLp1cPWq3eGUKsW1a7BwIaklkSwqGssj3YTeve0OpVTt4U7xEArkAcOBca5trCdDKRtERMCYMXDuHLJ5E+PGWZNRLlpkzbujVJVRWAhz55KV7eAzZwJNW/kwZox2kFSqMt1zbYvbjDFPV0YQVQV07QopKbB5MyFNmjBmTGuSkqz1LwYMsDucUlgdcRYv5lbqVeaZ7+AXVZfp063Z15VSlced0RYxIvKFiBxx3e4kIr/2fDRlizFjIDwcFi4krmk2HTrApk2Qnm53MKWAbdsoPnSMlYVDyazbksceg8BAu0MpVfu4c9riPeBVoAjAGHMImOHJUMpGPj5W/4fiYkhKYszIEgICrNMXxcV2h1O12tmzONeuY3tOB46E9mH6dGjQwO5QStVO7hQPgcaYXXft06+RmqxBA2sExvnzBO5Yz/jxcPmy1QKhlC2ysiApia+uhrMxdAKjx4gusa2UjdwpHq6KSCvAAIjIVOCSR1Mp+3XsCN27w9atxJgTdO1q9X24cMHuYKrWKSqCxERSLzhZFphAfB9f4uPtDqVU7eZO8fAj4F2gnYikAT8FfuDJUKqKGDECIiNh0SJG9soiNNSaPKqw0O5gqtYwBpYv5/qxSyyWyUR3CmPECLtDKaXcWdvirDFmKBAOtDPG9DPGJHs8mbKft7fV/wHwWzKPiWOLuXYNvvjC5lyq9ti9m7ztB1l5axDSNoapU8Hhzk8epZRH3XOopoi8dI/9ABhj/uyhTKoqqVfPWoEzMZEWp9bQs+dodu60ZvLTc87Ko1JSKFq2ii8vx5AaO5BnHwN/f7tDKaWg7JaHENcWj3WaItq1vQA84vloqspo3x5694ZduxgaeZSwMFiyxJqQUimPyMnBmTiffefqsbfZZGbMFOrVszuUUuq2exYPxpjXjTGvA42BR4wxPzPG/AzoBjStrICqihg6FBo3xmflUqYMukZ2NqxebXcoVSOVlGAS53HicCGbIxMYM8WfpvqJo1SV4s7Zwwjgzi5yha59qjbx8oJp08DhIGrLPPr3KmL/fjhxwu5gqsZZuZK0HRdYHzKBR0Y2pHNnuwMppe7mTvHwEbBLRF4TkdeAncD/82QoVUXVqQOTJ8Plywy8tZKICFi2DPLy7A6maoz9+7m2eg8bCvvSYGAHBg+2O5BSqjTujLb4T+Bp4Lpre9oY83tPB1NVVJs20L8/Xgf2Mb3tQW7dghUrrBF1Sj2UtDRyE5ezLb0leb2HMGmSLnalVFV134WxAIwx+4B9Hs6iqotHH4ULFwjbvpxhnSNZta8h7dtDXJzdwVS1dfMmBXMS2XsihLM9pvL04w58fe0OpZS6Fx0xrcrP4YApU8DXlx7n59O0USErVkBOjt3BVLXkdFIydz5HduZxoG0C054KJDTU7lBKqbJo8aAeTEgITJ2K49pVpvkvo7jIsHSpnr5Q5WfWrOXkmmR2RYxj2JORREXZnUgpdT9uFQ8i0kxEhrquB4hIiGdjqWqhRQsYNIiQ5MOMb7KPU6dg/367Q6lq5fBhziduZ593Dzo81pnYWLsDKaXccd/iQUSeBZKw1rcAa96HxR7MpKqTAQOgVSvizq8ktt4lVq2C69ftDqWqhcuXufL+Ug5kNiVg4gj697c7kFLKXe4ujNUXyAYwxpwCGnoylKpGRGDyZCQokLH58/EuzmfJEj19oe7j1i1uvDuXQyf9yRo+nfGTvHRkhVLViDvFQ4Ex5utJokTEG9fy3EoBEBQEU6cSWJDFNL+lJJ8z7NxpdyhVZTmd3Pp4AUe2ZZPcYzpTvxuMt1vjvpRSVYU7xcMmEfklECAiw4D5wDJ3nlxERorICRE5LSK/KOV+PxFJdN2/U0Sa33V/UxHJFZGX3Xk9ZaOmTWHoUJrnHaO31y7WrYOrV+0OpaqiorUbObrkNCdajmLcD5sQFGR3IqVUeblTPPwCyAAOA88DnwO/vt+DRMQLeAcYBcQCM0Xk7u5Q3wOuG2NaA28Bb951/5+BlW5kVFVB795Iu7YMKlpD/bxUFi0Cp9PuUKoqMce/4sR7mzkd0pV+P+lGhE50r1S15M4Mk05jzHvGmGnGmKmu6+6ctugBnDbGnHWd9pgLTLjrmAnAh67rScAQca35LSITgXPAUTffi7KbCEyciF9YCJNL5nMlOY8tW+wOpaqMq1c586dFnCuIotkPxxDTVjs5KFVd3bN4EJHDInLoXpsbzx0NXLjjdqprX6nHGGOKgRtAmIgEA/8beL2sFxCR50Rkj4jsycjIcCOS8riAAJg2jUbBuQzNXcTGDYb0dLtDKdsVFJD633M5d94L78cT6NVPOzkoVZ2V1fIwFhgHrHJtj7u2lVinLjzpNeAtY0xuWQcZY2YZY+KNMfHh4eEejqTcFh0NI0bwSPApYjK2snAhFBfbHUrZxhiuvr+Y0zszyR4xjeHT6ujICqWquXsWD8aYFGNMCjDMGPOKMeawa/vfwHA3njsNaHLH7caufaUe4xrFUQe4BvQE/iAiycBPgV+KyIvuvSVVJXTvjk+XDgzzWk/ByRQ2brQ7kLJLzsotnFh8nIwuwxj9oxZ4edmdSCn1sNzpMCki0veOG33cfNxuoI2ItBARX2AGsPSuY5YCT7muTwXWG0t/Y0xzY0xz4H+A3xlj3nbjNVVVIQLjxxPWuh7Ds5PYteEmFy7c/2GqZik4dprj76wnIyKOwb/sRUCA3YmUUhXBnSLge8DfRCTZ1RLwN+CZ+z3I1YfhRWA1cByYZ4w5KiJviMh412Gzsfo4nAZewhrZoWoKPz+YNo22TW/RLXkBixY4KSy8/8NUzeC8dp1jbywgQxrS+d/HE9ZAz1UoVVOIewMnQETqABhjbng00QOKj483e/bssTuGKs2+fWR9tJTFWYNoOH0Qo0fbHUh5XFERR/7XbNK/yqLBL5+jy+D6didS9yAie40x8XbnUNWL26tqGmNuVNXCQVVxXbtSd2Bn+pZs4tSqM5w5Y3cg5VHGcPqtZWQcuYzvzClaOChVA+mS3MrzRGDMGFp2b0D3CwtZ+nE2OrK2hjKGlPfXkrbyEMX9H6Xf023sTqSU8gAtHlTl8PXFa+Z0usYVEXfoUz774BY5OXaHUhXKGM69/wXJn26joHMPBvyqPw79hFGqRrrnTC0iMrmsBxpjFlZ8HFWjhYcT8NR0es36jOLtH/GZ/5M89UIAfn52B1MV4ezsDZz/ZAtFneMZ9OYofP20g6RSNVVZ07yNK+M+A2jxoMqvdWtCnp1Bz7/NpeSLOcwPepKZT/vr2P9q7vTsTaR+vBlnl0cY+OYYLRyUquHcHm1R1eloi2rmxAku/d957L7QCOfj32FCgr/OOlhNnZz9JRfnfIHp3IV+f5yAj6/+RVYnOtpCPYiy1rZ4wnX5Umlb5UVUNVLbtkT+2zQ6hV9CPv2E9SsL7E6kHsBXs7dycc4X0KkT/f4wXgsHpWqJsrozBbouQ+6xKfVw2rWj2c+m0i4kjdx3P2H3Vp1Bqjo5/sF20uesxdE5jn5/moiPn/aOVKq2KKvPQyvX5TFjzPzKCKNqH+kQS5tfTKHgjQWc++MnHA9+nPadfe2Ope7j6Ac7yfhoNd6dYun1x8l4+2rhoFRtUtb/+NEiIsCrlRVG1U6Ojh1o/8vJNHae59Qbn3H+TJHdkVQZDv9zDxkfrcS3Uzt6/2mKFg5K1UJl/a9fBVwHOolI9h1bjohkV1I+VUv4dI0j9leTiLiVzKFXP+PqJS0gqqKD/9zHtQ+X49e5LT3/NA0vXx0mo1RtVNaS3D83xtQFVhhjQu/YQowxoZUXUdUWAT070f4XE6iXdY49L88l53qx3ZHUHfb/8wCZHy4joFMbevxBCwelarMy2xtFxAvQQkFVmtABXWjz8niC0s+w62eJFNzUAqIq2PvPQ2R9uITgTi3p/qcEvPzK6i6llKrpyiwejDElgPP2ippKVYaGw7vS/Mfj8D53il0vz6OkQAsIO+3+4DDZHy4itFNzuv1xBg5fLRyUqu3c+RTIBQ6LyFrg5u2dxph/81gqVes1mdiNvJuGS+8tZ+8vk+j+5jTEW5vJK5MxsOufR8mbs4g6HZvS5Q8zcfj52B1LKVUFuFM8LESnolY2aPt4PDdznGTP/ZwjryXR8fWp6DzWlcMY2P7BcQo+XkDdjo3p8sfHET8dQquUsty3eDDGfCgiAUBTY8yJSsik1Ne6Pt+DLTlOrq1Yxek3F9D6F1PRpRo9yxjY+sEJCj9OIiwuik5/0MJBKfVN9/0UFpFxwAGsoZuISBcRWerhXEoBIAJ9f9aLwkdHkLrmGGl/XQhOp92xaixj4MsPTlH48TzCOzai0x+eQPx12VOl1De58xPuNaAHkAVgjDkAtPRYIqXu4nDAoFd7k91zGGeWHOHqe4u0gPAAY2DTB2co/iSRiI4NifuvJ5AAf7tjKaWqIHeKhyJjzI279uknt6pUvr4w5Dd9udJxCF/NP0z2nCVaQFQgY2DDB2dxfvIZEXENiP2vJ5HAALtjKaWqKHeKh6Mi8hjgJSJtROSvwDYP51LqW4KCYPB/9OdCm8Ec++wgtxKXWt966qEYA1/MTsZ88hmRcWHE/l4LB6VU2dwpHn4MdAAKgE+BG8BPPZhJqXuqXx8G/HoAp6IHcfSTAxQtXKYFxENwOmHt7PPIZ5/SOK4u7X73JBIUeP8HKqVqtXuOthARf+AFoDVwGOhtjNHZepTtoqOh1/8eyPbfOfH9ZDMdvB14jR9j9a5UbnM6Yc3sC/jM/ZgmHUJp859PIcFBdsdSSlUDZbU8fAjEYxUOo4A/VUoipdzQJkbo+G+PciC4H6c+24NZ8bm2QJSD0wkr30/De+7HNI0LIeY/n0JCgu2OpZSqJsqa5yHWGNMRQERmA7sqJ5JS7un6iHDj6SHs/sCJ3/xttPBywMiR2gJxH04nfP7+RfznzaFFh0Ba/fYpCAmxO5ZSqhopq+Xh6zWR9XSFqqoGDhLqTB3GlpLeXFy0E9as0RaIMpSUwPL30/GbN4eWHfxp9cZTEKpr3ymlyqes4qGziGS7thyg0+3rIpJdWQGVKosIjB0neI0azoa8nlxdth3WrdMCohQlJbDs/csEzP+INh18afnaU1C3rt2xlFLV0D1PWxhjdBEBVS04HDB1mvDhzZF8scXJqJVbCRWBIUP0FIZLcTEsnZ1BcNJHxMR60+w/noJ69eyOpZSqpnSRAFUj+PrCY48Ll7uNZu31ePLWbIGNG+2OVSUUF8Pi968SvOBD2nVw0Ow3T1ljXpVS6gFp8aBqjKAgeOI7wtn2Y1h3/REK126q9QVEUREsfO8aIQs/JDYWmv76KQgLszuWUqqa0+JB1Sj161stEIebjWNDVhdKvtgImzfbHcsWRUWw8P1M6iz+kLhYJ41/+SQ0aGB3LKVUDaDFg6pxoqNh2nRhR/h4tuR0xrluPWzZYnesSpWbC3P/fp26Sz6kY/tiol99Eho2tDuWUqqGKGueB6WqrZgYGDvewfKlEwjId9J97TpEBPr2tTuax6Wnw4p3kmm+ex5xsYaIV56CiAi7YymlahAtHlSN1a0bZGc7WLlxEoFiiFu7Fm7cgBEjwKtmDiY6fsyw4y87aZ+8hg7961Pn+Rl6qkIpVeE8etpCREaKyAkROS0ivyjlfj8RSXTdv1NEmrv2DxORvSJy2HU52JM5Vc01aBB0ecTBAjOZk+F9YdcumDMH8vLsjlahjIEv1xdx8PXFdL64iq4JMdR5+VktHJRSHuGx4kFEvIB3sNbFiAVmikjsXYd9D7hujGkNvAW86dp/FRjnmh77KWCOp3Kqmk0Exo6F1jEOPs0YxrZGkyk5nwqzZsHly3bHqxBFRbD0oyyy/vwBnTlIp58+SsB3E8DPz+5oSqkaypMtDz2A08aYs8aYQmAuMOGuYyZgLcAFkAQMERExxuw3xlx07T8KBIiIfhKqB+LlBdOnQ/fusCa9E5/6Ps3N7BKYPRuOH7c73kPJzoakP54j8ONZdIzOpN0bj+E9eKBOjqWU8ihPFg/RwIU7bqe69pV6jGv9jBvA3YPQpwD7jDEFd7+AiDwnIntEZE9GRkaFBVc1j48PjBkDM2fCJUc0fyt+juS8hpi5ibBpU7Wczjot1bD81zuIXj+HTr2DaP6755C2MXbHUkrVAlV6qKaIdMA6lfF8afcbY2YZY+KNMfHh4eGVG05VS23bwg9+AI3ahPCR47tsye1C0ZoNMH8+FBbaHc9th/cVse3ni2h5chWdpsUQ8avv6+RPSqlK48nRFmlAkztuN3btK+2YVBHxBuoA1wBEpDGwCHjSGHPGgzlVLRMSAk88ATt2eLNu7QQuZEQwctsa6l+7ZjVNVOHFooyBL5dlcWNWIq2902n3vwYTMLy/nqZQSlUqT7Y87AbaiEgLEfEFZgBL7zpmKVaHSICpwHpjjBGRusAK4BfGmK0ezKhqKRHo3Ru+/6yQ2bY3Hzsf59SeGzj/MQuSk+2OV6rCQljx9jkK/jqLVvWv0+n3MwkYMUALB6VUpfNY8eDqw/AisBo4DswzxhwVkTdEZLzrsNlAmIicBl4Cbg/nfBFoDfxGRA64Np0eT1W4yEh4/nloObw1C8OeZduBQG7+4yPYs8fuaN+Qdd2w4tfbCV74Ea07B9H+z8/i1V77Nyil7CGmGnYUK018fLzZU8U+8FX18tVXsGJBPq0OLKBHvVNEjotHRo+yfUKpC2eL2PfaUsIuHqb1uPY0emGiDsNUFUZE9hpj4u3OoaqXKt1hUqnK1K4dPPdv/mSPmcm6/H4c/XAPBe99BDdv2pbp8JdZHPrpbCIyjhD3kyE0+rfpWjgopWyn01MrdYeQEPjOUw62xwxl66cR3FiyhHZp7xH2oxnQqFGl5XA6Yeucs+R/nERkPSex//kY/h3bVNrrK6VUWbR4UOouItCnD7Ro0ZFVH4SRu3kurVJn0+KlSXh1vHuS1IpXkG/Y+Pvt+G5aS1RsA9q9NgOvhjoMUylVdehpC6XuITISHv95FCXPPMuxaxEc+OU8bize4NEJpTIvF7H+xYX4b15Dk+Ht6fDW97VwUEpVOdryoFQZfH1hdEIIx2O/y7E/ruDmXzbR5KsrNP9fkxA/3wp9rfMHr3P8tURCci/T8oUhRE3vp8MwlVJVkrY8KOWG9h29GfbX8eT0HUnyqq/Y96PZ3Lp4vcKe//CSs5x8eRYhJVnE/e4xohJ04ielVNWlxYNSbgqtI4x+oxehP3yC6ynZ7H7uPVK/PPdQz+ksMWz/721cfWsOodEhPPKP56jbXTtGKqWqNi0elCoHEeg2vRUd/udZnAFBnPrNHHa9vYuS4vL3g7h1o5DNP11AwbI11Ovbnvh/fB//qPoeSK2UUhVLiwelHkBkh/r0+eD7hD7Smrykz1n7k+Vcu1Li9uOvnb7OjmdnI0ePEvXkULr8n2k4/Cu2D4VSSnmKFg9KPSDfED+6/XEGLZ7sT/CJvWx/4UMObrt538EYKevPcOjHs3Dk3KDNa48T84x2jFRKVS9aPCj1MBwOmj0zhC7/ZypRcolLr89i+XuXuHXr24cap+HorK2c++3HeNUJocvfniNqQOvKz6yUUg9JiwelKkBwrzi6/OUZYtoYghI/YP5rR0lJ+df9JbcK2ftqEhmfrsW7Uyw93/s+dVpo/walVPWkxYNSFcQRHUnL/3qOrqMa0fbQfDb+Zj1frDPknL/Orudnk7PzGMGThtH3ran4hWj/BqVU9aWraipV0YqLKVryOSc/2cmhsyFQXEKdBt60/PlU2o1pZXc6pb5BV9VUD0JbHpSqYPlXczlxxovMiwWEZZwgP7eI/U3HszerFefP251OKaUenk5PrVQFyT2XwekPt5K95RDFJYKjzwDaPdqMQQdXc+lMIscWNWHZ1l4EdmtPvwEOWrfWQRZKqepJiwelHlLmkYuc/WgLN/ccp0S88enVg9in+tAoJtQ6YHg7mh04QPSWHaQfn8/ppXXYvK0nGzt3pc+QANq3B4e2ASqlqhHt86DUgzCGy7tSSJ7zJbeOnMHp60/goB7EfKcn9ZsElf4YpxNOncK5bQeXd5wj+aIvZ0O7kNexJ92Gh9G5M3h5Ve7bUEr7PKgHocWDUuVgnIbUDae48OmXFJ65gDMwmNDhvWj3ne4Eh/m5/0Tp6Ti37+Tq+kOcP1dCil8MWe160WFsCx7pJvjqYAxVSbR4UA9Ciwel3OAsdnJ2+TEuzfuSkouXMXXqUn9cX9rN6IJfsM+DP3FuLmbPXq6t2s2F47lcLG7I1da9aDG+I937+BAQUHHvQanSaPGgHoQWD0qVoTi/mJMLDpGxcAvmWiYS3oCGU/rTZlIc3n4VeI6huBiOHiVzxXbS9qaTnh3IlabxRI7vTvfBIYSEVNxLKXUnLR7Ug9DiQalS5GcXcuKzfWQu34bkZONoHEVUQn9ajm6Hw8uDQySMgZQUslbv4OL6E1y+IlxtFEfdkb2IHx9FvXqee2lVO2nxoB6EFg9K3SE34xZffbSL7HU7cdzKw6dNc5o81p8mA1sijkoeV3n9OjnrdpK6bD9XLhRwo05TAh7tReeEdjRspMMzVMXQ4kE9CC0elAIyz+dy8sPt3Nq8GykqxL9zDM2f6E+j7k3sjgYFBdzcsp8LSTvJOHmdm9518OrTk/aPP0Lj1v52p1PVnBYP6kFo8aBqtfTj1zn90TYKd+7HixKCesbR8sl+1G8fYXe0b3M6uXXwJCmJO7i6J5kC44vp3IVWj/WkebcwnXBKPRAtHtSD0OJB1TrGwPm9GZybswVz6DBe3kJI/y60fqovIc2qx0qXhefTOfvpDq5tPExRfgklrWNoNr0XrYa2qPzTK6pa0+JBPQgtHlStYQyc3pTG+U+34HXyOF4BPtQbGk/r7/TGv2Go3fEeSHFWLmcS95Dx+W6Kb9yEhg2JnNSL1pM64uX/EENIVa2hxYN6EFo8qBrLGLh+zcmVoxlkHUklZ+cxfM6fwSfEnwZjetLqsZ54hwbaHbNCOAuLObv0CGkLdmAupeMVEkiDUfG0nt4NnwZ17I6nqjAtHtSD0OJB1QjGQGYmXD6TS+ahVPJOplJ4Lo2AzDS8SgoRAf/wEMLH9aL51HgcAeWYDbIaMU7DuY0ppCTugBMn8HIY/MJD8WsZTXDbKOrHRVOvQxQSoB0tlUWLB/UgtHhQ1Y4xcO0aXLpQTObRS+R+lUrh2VQCMtPwz89CBIJCHPg2bURAm8bU7RBN/U6N8QqvX2uWsTQGUg9lkrr+JHmnL1KckoZf7jXAWj/DN6oBfi2jCW0fTVjHKEJjGiE+uk5ebaTFg3oQWjyoKs3pdBUKFw0ZJ6+TczyVgjOpBGamEpR7GW8pITgY/CPq4N+6MXU6WMWCV+NI8NFz/rc5nZBx/hZXD10k+3gaeacv4jyfik9BLgBevl74NI4gsI1VUDToFEVw8wa63GctoMWDehBaPKgqw+mEq1fh0iVIT84n+3gaBWdSCbiWSmhOGn4leQQHQ1A9X/xbRhEa25jQ2MZ4NY1G528uv+IiQ8bZHK4eTCPnqzTyz6Rh0i7iVVwAgFegL77NoghoHU2d2GjCu0QT2Ci01rTe1BZaPKgHocWDsoXTCRkZcPEiXEpzknXiMvln0gjMTCU0O5Xg/KuEhEBwiODfNJyQttGExjbG0bQxhIfrL2IPKSo0XD52jczDVkFRcDYN0tNxmBIAvOoE4dM8muCYaOp2iCa8cxR+9WpGp9PaSosH9SC0eFAVzhgoLITc3G9uN29CTg5knc/m1qlUAq+nEZqdSt28i9QJLCIkBALDgwhu15jgdo1xNImG6Gjwq5mdG6uL/Nxirhy5wvUjaeScSKPwXBpy9SqC9dnhFV4f3+ZRBLeNpl5cNOGdIvEJ1FNG1YUWD+pBeLR4EJGRwP8FvID3jTH/ddf9fsBHQDfgGpBgjEl23fcq8D2gBPg3Y8zqsl5LiwfPKyww5F4vIu96wdfbrawC8rPyKcguoCC7gMKcAopyC6CgAO+SAryK/3Xp4ywg0JFPsHe+1apQx4ug1pEEtXW1KERHQ9262ixeDdzMLODKgYtkHU3j5umLFJ1LQ7JvWHc6HDgiwpHgIMTfD/z8ED9fHAF+iL8fDn9fxN8Pr0A/HAF+eAVY93kHWde9A33x9hF8fMDbm29d6j+PiqXFg3oQHuteLSJewDvAMCAV2C0iS40xx+447HvAdWNMaxGZAbwJJIhILDAD6ABEAetEJMYYV9tpbWOMtTmd/7q883pp++53vaQECgspvlnArev55N8oIP+GVQAU5BRQlGMVAsU3ra0kzyoIbv/avJOvDwT7gq9r8w7wwSfMD59gP3xD/PAL9cM3tD5+odaXCGFh0LgxRERY3waq2gmq70eLwS1gcAvA+ieVcymXqwfTuHEsjbyz6Zi8W3AtFwoKoLAAZ2EhpsRJSYl1/L0YhBIvX2vz9qPYy48Sbz9KvHwp9vLD+Pkhvr5WUeIqThz+1m1HgB8OX2+8fQSHtwMvb+vS20fw8rFue/k4vr7f20e+cf32fd7e1qgUb2++cf32pRYwqrbz5Cd3D+C0MeYsgIjMBSYAdxYPE4DXXNeTgLdFRFz75xpjCoBzInLa9XzbKzpkxpHLHHsjCaDUL0ag1E+68hzruuPbz+EqCgSDGOtLXYyz1OsVzRgoKoLi4n/tu/3hXOLt9/UvQZ/QYHyj/QgKsQoB/zp++Nf1J6Cu39ebI8D6AP960/4ItY4IhEYFExrVFka1Lf0gY6x/cAUFOPMLvy5Ki/MKrcubBThvFVByq9B1WYDzViEm39pvCm5i8q0i1uQXYG5ahcjtmtjp5Bu376yXb2/FWFvBfd6PEQcGwYgDRL51WxwCXg4cDqvwEIcgXvb9uw/u2oZurw637fVV7ePJ4iEauHDH7VSg572OMcYUi8gNIMy1f8ddj42++wVE5DngOYCmTZs+UEjvAB98ohuWfuc9fl6YUvff46fIfZ9DMCI4xYFxOFy3HeCwPqy+cXnnB9kd1+91TFnHircX/qG+BNSzCoGger4Ehzqs0QxB1i8spSqUiHXuwccHRzD4NniI57rdelZQ4GrZKPzX9eLib7fKuS6dJYaSIiclxXdcFhucxc5vXd55rCm5a//d+5zWpV18w3S0kapc1brN2BgzC5gFVp+HB3mOeq3q0+etaRWaSynlYSL/OqcQFOT2wxyuTbtzKvVwPNnOlgY0ueN2Y9e+Uo8REW+gDlbHSXceq5RSSikbeLJ42A20EZEWIuKL1QFy6V3HLAWecl2fCqw31vCPpcAMEfETkRZAG2CXB7MqpZRSyk0eO23h6sPwIrAaa6jmB8aYoyLyBrDHGLMUmA3McXWIzMQqMHAdNw+rc2Ux8KNaO9JCKaWUqmJ0kiillKrFdJ4H9SB0TJ1SSimlykWLB6WUUkqVixYPSimllCoXLR6UUkopVS41psOkiGQAKXbneAANgKt2h6hk+p5rh9r2nqvr+21mjAm3O4SqXmpM8VBdicie2tbTWd9z7VDb3nNte7+qdtPTFkoppZQqFy0elFJKKVUuWjzYb5bdAWyg77l2qG3vuba9X1WLaZ8HpZRSSpWLtjwopZRSqly0eFBKKaVUuWjxUIWIyM9ExIhIA7uzeJqI/FFEvhKRQyKySETq2p3JE0RkpIicEJHTIvILu/N4mog0EZENInJMRI6KyE/szlRZRMRLRPaLyHK7syjlaVo8VBEi0gQYDpy3O0slWQvEGWM6ASeBV23OU+FExAt4BxgFxAIzRSTW3lQeVwz8zBgTC/QCflQL3vNtPwGO2x1CqcqgxUPV8RbwClArerAaY9YYY4pdN3cAje3M4yE9gNPGmLPGmEJgLjDB5kweZYy5ZIzZ57qeg/VlGm1vKs8TkcbAGOB9u7MoVRm0eKgCRGQCkGaMOWh3Fps8A6y0O4QHRAMX7ridSi34Ir1NRJoDXYGdNkepDP+DVfw7bc6hVKXwtjtAbSEi64BGpdz1K+CXWKcsapSy3rMxZonrmF9hNXV/UpnZlGeJSDCwAPipMSbb7jyeJCJjgSvGmL0iMsjmOEpVCi0eKokxZmhp+0WkI9ACOCgiYDXf7xORHsaY9EqMWOHu9Z5vE5HvAmOBIaZmTjiSBjS543Zj174aTUR8sAqHT4wxC+3OUwn6AuNFZDTgD4SKyMfGmCdszqWUx+gkUVWMiCQD8caY6rg6n9tEZCTwZ2CgMSbD7jyeICLeWJ1Bh2AVDbuBx4wxR20N5kFiVcAfApnGmJ/aHKfSuVoeXjbGjLU5ilIepX0elF3eBkKAtSJyQET+YXegiubqEPoisBqr4+C8mlw4uPQFvgMMdv29HnD9IldK1SDa8qCUUkqpctGWB6WUUkqVixYPSimllCoXLR6UUkopVS5aPCillFKqXLR4UEoppVS5aPGglFJKqXLR4kEppZRS5aLFg1IeIiLdReSQiPiLSJCIHBWROLtzKaXUw9JJopTyIBH5P1jrHQQAqcaY39scSSmlHpoWD0p5kIj4Yq1pkQ/0McaU2BxJKaUemp62UMqzwoBgrHU8/G3OopRSFUJbHpTyIBFZCszFWnY90hjzos2RlFLqoXnbHUCpmkpEngSKjDGfiogXsE1EBhtj1tudTSmlHoa2PCillFKqXLTPg1JKKaXKRYsHpZRSSpWLFg9KKaWUKhctHpRSSilVLlo8KKWUUqpctHhQSimlVLlo8aCUUkqpcvn/WYzv8tnLj2IAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#LECTURA DE ARCHIVOS (Los que se encuentran en la carpeta Ejemplos) -> DATOS1 Y DATOS2\n",
+    "\n",
+    "p=np.loadtxt('Ejemplos/Datos1A.txt')[:, 1]   # Almacena concentraciones de A\n",
+    "a=np.loadtxt('Ejemplos/Datos1A.txt')[:, 0]   # Almacena x\n",
+    "\n",
+    "p2=np.loadtxt('Ejemplos/Datos1B.txt')[:, 1]  # Almacena concentraciones de A\n",
+    "a2=np.loadtxt('Ejemplos/Datos1B.txt')[:, 0]  # Almacena x\n",
+    "\n",
+    "p3=np.loadtxt('Ejemplos/Datos1Desp.txt')[:, 1] # Almacena distribución de espaciamiento\n",
+    "a3=np.loadtxt('Ejemplos/Datos1Desp.txt')[:, 0] # Almacena x\n",
+    "\n",
+    "#-------------------------------------------------------------------------------------\n",
+    "\n",
+    "p_=np.loadtxt('Ejemplos/Datos2A.txt')[:, 1]   # Almacena concentraciones de A\n",
+    "a_=np.loadtxt('Ejemplos/Datos2A.txt')[:, 0]   # Almacena x\n",
+    "\n",
+    "p2_=np.loadtxt('Ejemplos/Datos2B.txt')[:, 1]  # Almacena concentraciones de A\n",
+    "a2_=np.loadtxt('Ejemplos/Datos2B.txt')[:, 0]  # Almacena x\n",
+    "\n",
+    "p3_=np.loadtxt('Ejemplos/Datos2Desp.txt')[:, 1] # Almacena distribución de espaciamiento\n",
+    "a3_=np.loadtxt('Ejemplos/Datos2Desp.txt')[:, 0] # Almacena x\n",
+    "\n",
+    "#GRAFICAS\n",
+    "\n",
+    "fig1=plt.figure(1)\n",
+    "plt.plot(a,p,c='b', alpha=0.5)\n",
+    "plt.plot(a_,p_,c='r', alpha=0.5)\n",
+    "\n",
+    "plt.plot(a2,p2,c='b', alpha=0.5)\n",
+    "plt.plot(a2_,p2_,c='r', alpha=0.5)\n",
+    "\n",
+    "plt.legend(['1000 repeticiones', '5000 repeticiones'],loc='upper right',bbox_to_anchor=(1.42, 1))\n",
+    "plt.xlabel('x')\n",
+    "plt.ylabel('Perfil de densidad')\n",
+    "plt.show()\n",
+    "\n",
+    "fig2=plt.figure(2)\n",
+    "plt.plot(a3,p3,c='b', alpha=0.5)\n",
+    "\n",
+    "plt.plot(a3_,p3_,c='r', alpha=0.5)\n",
+    "\n",
+    "plt.legend(['1000 repeticiones', '5000 repeticiones'])\n",
+    "\n",
+    "plt.xlabel('x')\n",
+    "plt.ylabel('Distribución de espaciamientos')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Test de convergencia"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# DATA 7, 10, 11, 12 (TEST DE CONVERGENCIA):\n",
+    "\n",
+    "diez=data('Data10')\n",
+    "once=data('DataF1')\n",
+    "# doce=data('DataF2')\n",
+    "\n",
+    "fig1=plt.figure(1)\n",
+    "plt.plot(diez[1],diez[0],c='m', alpha=0.5)\n",
+    "plt.plot(once[1],once[0],c='g', alpha=0.5)\n",
+    "# plt.plot(doce[1],doce[0],c='b', alpha=0.5)\n",
+    "\n",
+    "plt.plot(diez[3],diez[2],c='m', alpha=0.5)\n",
+    "plt.plot(once[3],once[2],c='g', alpha=0.5)\n",
+    "# plt.plot(doce[3],doce[2],c='r', alpha=0.5)\n",
+    "\n",
+    "plt.legend(['5000 repeticiones', '1000 repeticiones'],loc='upper right',bbox_to_anchor=(1, 0.3))\n",
+    "plt.xlabel('x')\n",
+    "plt.ylabel('Perfil de densidad')\n",
+    "plt.show()\n",
+    "\n",
+    "fig2=plt.figure(2)\n",
+    "plt.plot(diez[5],diez[4],c='m', alpha=0.5)\n",
+    "plt.plot(once[5],once[4],c='g', alpha=0.5)\n",
+    "# plt.plot(doce[5],doce[4],c='b', alpha=0.5)\n",
+    "\n",
+    "plt.legend(['5000 repeticiones', '1000 repeticiones'])\n",
+    "plt.xlabel('x')\n",
+    "plt.ylabel('Distribución de espaciamientos')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Analisis regiones de reacción - estados estacionarios"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def lineal(vecx, vecy, f):\n",
+    "    \n",
+    "    x=np.copy(vecx)\n",
+    "    y=np.copy(vecy)\n",
+    "    lim1=np.where(x==20.*f)\n",
+    "    lim2=np.where(x==0.*f)\n",
+    "    lim1=int(lim1[0])\n",
+    "    lim2=int(lim2[0])\n",
+    "    \n",
+    "    if f==1:\n",
+    "        X=x[lim2:lim1+1].reshape((-1,1))\n",
+    "        Y=y[lim2:lim1+1]\n",
+    "    else:\n",
+    "        X=x[lim1:lim2+1].reshape((-1,1))\n",
+    "        Y=y[lim1:lim2+1]\n",
+    "\n",
+    "    model = LinearRegression().fit(X, Y)\n",
+    "\n",
+    "    r_sq = model.score(X, Y)\n",
+    "    print('coefficient of determination:', r_sq)\n",
+    "\n",
+    "    print('intercept:', model.intercept_)\n",
+    "    b = model.intercept_\n",
+    "\n",
+    "    print('slope:', model.coef_)\n",
+    "    m = model.coef_\n",
+    "    \n",
+    "    return m, b, r_sq\n",
+    "\n",
+    "def h(x, a, b):\n",
+    "    return x*a + b\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "izquierda\n",
+      "coefficient of determination: 0.9974354329096335\n",
+      "intercept: 0.00018187012987013005\n",
+      "slope: [-0.00029747]\n",
+      " \n",
+      "derecha\n",
+      "coefficient of determination: 0.9973388571872746\n",
+      "intercept: 0.00042569696969696957\n",
+      "slope: [0.00030231]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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yk58cDV+0jcvOzj65ffv2rTt37tw6ZsyYU48//vg5rQ6jr6HNTGqqH+ofPdqv+vf2277Vd9w4uOQSaNv2wn+HKvwlbjV1JX9pqe/NPXrUT81Zs0yuNFuxsCxvjerqaoqLiwP1zQ7YECX+ZqpXL7j/fr9Wx8qV/oBizRqf/CdN8stvny9V+EvcaspK/spK36KXl+ercocMabIwY9b8+ekcPty0HzbdulVw881xtSxvTk5O28GDBw89ceJEYkpKStUvf/nLg6H8zhpK/M1cz57+M+X4cX/a8IMPICfHrweQfZ6TaarCX+JaU1TyOwdvvAH79vkZ95T0m7VYWpYX/FD/8uXLcwF++MMfdnnwwQd7vPLKK/tD+b2gxN9idOjga4QmT/aFf4sW+aW5Bw489+dShb/IBVq2zE+5O3UqjBgR7WhajhCPzJtaLC3LW9dNN9104pZbbul3LjGq6qSF6dIF7rzT/3z9db+ux/lQhb/EjdICOP5Z01TwFxXBa6/5obfsbH/eTVqklrosb13Lly9v27t377KG9qlLR/wtUGKiP/r/9a/9hGB33aWJwETq1VQL8VRV+cl4VqzwC+xcfrm/6A+vxWqJy/LWqDnH75wjLS2t6vnnn997Lq9dy/K2YOvXw8KFfrRx8uTzfx4t3iMx6/hnvme/ZiGei6ZAh3MaFfWJ/uWX/cI6cVS5r2V5Wz4tyxuDxozxn0XLlkFFBUyc6GcAPBdq7ZOY1hTte+++6//QZs06/4pakWZEib8FM4Nrr/XXV6zw1f6XX+57/gMh1ZWqtU9i3IW2723YAKtWwcUXK+lLzFBxXwvXujXccgt8+9uQlQVvvQUvvRT6bH9q7ZOYl9LeD++fa9I/eNAvoNG3L0yfHp7Y4kN1dXW1iiEiLPie19udoMQfI7p39zOEXn+9by1+5ZXQkn9Na9/k/lka5pfYcaGV/Hv2wB//6Htmb7kl9CE0qc/mvLy8DCX/yKmurra8vLwMYHN992uoP4aY+al+AwFYsMAn/zvvhORGDuIzUpOU8CV2XEglf3W1P2/2/vt+8ozbb/fzaMt5q6ys/NbRo0d/e/To0eHoYDNSqoHNlZWV36rvTiX+GFQzn8iCBb4Y+Y47zm2KX1X5S4tWeyGeosP+diiJ/9QpmDfPD5mNHg1XX934t2Zp1Lhx474AZkc7DjlDiT9GjRjhRwAWLIDf/x6+8Y3QFvhRlb+0eOdTyV9e7r8lf/EF3HADjBoV/jhFokTDLjFs+HA/1H/8ODz/PBSEcLqzdpV/lXPkl4RhTWCRcKqp5L9oSmjD/FVV/kj/yBF/Pl9JX2JcWBO/mc0wsx1mlmtm36/n/lZm9mrw/jVm1qfWfY8Gt+8ws6tqbf//zGyLmW02sz+a2QWsUxf7+veHu+/2q4eGkvxV5S8xIdRKfud85X5uru+NHTQoMvGJRFHYEr+ZBYBfATOBocAdZja0zm73AwXOuf7AL4CfBh87FLgdGAbMAJ42s4CZdQf+D5DtnBsOBIL7SQN69oR77/WT/Lz2mq9fOhtV+UvcKCnxU19u2ABTpsDYsdGOSCQiwnnEPwHIdc7tds6VA3OB6+rscx3wQvD6fODrZmbB7XOdc2XOuT1AbvD5wNclpJhZIpAKHA7ja4gZnTr5iccOHvQFyw3RAj7SIoXawldZCStXwpNP+qQ/aZKf+UokToSzuK87cKDW7YPAxWfbxzlXaWaFQIfg9tV1HtvdObfKzB4H9gOlwDvOuXfCFH/MGT4cdu3y3Ur9+vmRgMaowl9ahFBb+EpK/DmvY8dgwACYNs1/KxaJIy2quM/M2uNHA/oC3YA2ZvaNs+z7gJnlmFlOXl5eJMNs1q6+Gtq189X+ZY0s5FhT4f9hbh6LNx2msKQiIjGKnLPaLXyu2t+uyzm/lnVBga96nTNHSV/iUjgT/yGg9jFlj+C2evcJDt1nAMcbeOxUYI9zLs85VwEsACbW98udc88657Kdc9lZWVlN8HJiQ6tWcOONcOIEzJ0LxcVn31cV/tJihNLCt3o17Nzpp98dODDyMYo0E+FM/GuBAWbW18yS8UV4C+vssxC4J3j9ZmCZ8+sELwRuD1b99wUGAB/jh/gvMbPUYC3A14FtYXwNMalnTz+178GD8N//7Yf/66MKf2kxGmvhO3jQr7I3ZAhMmFDPE4jEj7Cd4w+es38QWIqvvn/eObfFzB4DcpxzC4HngJfMLBfIJ1ihH9xvHrAVqAS+55yrAtaY2XxgfXD7J8Cz4XoNsWzUKOjWDebP9/OWTJoEU6f6SX9q1FT46xy/tAgp7es/r19a6v+jp6fD7Nlf/k8uEofMH2DHtuzsbJeTkxPtMJqlykpYssQv6XvFFSpulhaktKDx5Xarq/2iFbt3w333QY8ekY2xBTOzdc45rUUcgzRlb5xLTIRrrvE9/suX+3VJhg+PdlQijQi1iv/dd89MzqOkLwK0sKp+CQ8z/7nYu7cvej5woP79Cksq2HPslKr7JfpCqeLfsAFWrYKLL4Zx4yIeokhzpcQvgD/yv+02fxp07lwoLPzy/Wrtk2alsSr+Awf8VLwXXQRXXVX/c4jEKSV++avUVN/eXFHhPzNrl3+otU+alYaq+EtL4U9/gowMv+hOgj7mRGrTX4R8SceOvro/Nxc2bjyzXa190uycbSGet96Ckyfh5pshJSU6sYk0Yyruk68YPx42b/bV/v36Qdu2au2TFmLTJn+58krfryoiX6EjfvkKM9/uXF4Ob799ZrsW75Goa2ghnsJCWLzYz1A1eXLkYxNpIZT4pV4dO/qVSrdsga1b699HVf4SUTUtfLvf8z9rJ/+qKt+SUl0NN9yg8/oiDdBQv5zVxImwbRu89pov9Bs27Mx9NVX+Vc4RMOOaEd00EiDhVbuFr+iwv53S3hfzzZsHe/bAdddBZj3z9IvIX+lrsZxVIAB33QXdu/si6VWrzlT6q8pfIq6+Fr6CAnjuOdi/3x/pjxkT7ShFmj0d8UuDUlLg7rv9Mr5Ll/rTqFddpSp/iYKaFr6aaXqLK+CFF/ww/113QZ8+0Y5QpEVQ4pdGJSb6duglS/zKpr16wdChqvKXKKhZiMc5eOV5v+1b3/JFKSISEg31S0jM/JF+ly6+0r+sTFX+EiH1VfJv3uxn5/v615X0Rc6REr+ELCHBz+l/8iQsWxbtaCQu1FfJX17uF9/p2hVGj45ufCItkBK/nJPu3WHCBPj4Yzh06Mx2tfZJWNS3GM9HH0FREcycqbY9kfOgvxo5Z1de6Wfze/NN3zatBXwkbOpW8pcHfOIfMcIXm4jIOTtr4jezYjMrOtslkkFK89KqFVx9NRw96gv+jp9Sa5+ESd3FeN5f4wtOpk6NcmAiLddZq/qdc2kAZvYvwBHgJcCAOUDXiEQnzdbgwX6Cn5UroayyFQmd1NonYVJTyb95s59RaupUv/KeiJyXUNr5ZjvnRtW6/YyZfQr8KEwxSQtgBtOm+RbqNWsSGTu+O8MnlNGhjVr7JAxOnvTz8Hfv7r9xish5C+Uc/ykzm2NmATNLMLM5wKlwBybNnxnMmAHjxsH6tYkc3qHWPmkCddv3nPMFJRUVmodfpAmEcsR/J/CfwYsDPgpuE8EMZs3yHVZ/+YtfCbVDlwpN7CPnp6Z9z1X7Yr5h18PO/bBjB0yfrp59kSbQaOJ3zu0Frgt/KNJSmfn+/qNH4ZW5VXS79AhJKdVavEfOXd2FeD7fB28v8RX8l1wS7ehEYkKjY2Zm1trMvmdmT5vZ8zWXSAQnLUdysp/W98TJKlYvS6FzW1X4y3mo3b6Hwfs5UFnpV93TEL9IkwjlL+kloAtwFbAC6AEUhzMoaZk6dYLZs4zjR5JY8X61Kvzl3NVu30sYDLsPwhVXQIcO0Y5MJGaEkvj7O+f+L3DKOfcCcA1wcXjDkpbqskuTuGFqW07t68CEzhrml/OQ0h5Su8Gyj3zRyKWXRjsikZgSSuKvmYbthJkNBzKATuELSVoyM7hxdiKd2yWTs1pJX0JUt5J/6VIoLYXZszXEL9LEQqnqf9bM2gP/F1gItEU9/NKA1FTfar18uZ/Pv217VflLA+pW8rceCRs2wGWX+eUgRaRJhVLV/9vg1RXAReENR2LFJZf4hXzefKuS9JGHqXJOVf5Sv9qV/Ed3w+L5kNUDLr882pGJxKSzJn4ze7ihBzrnnmj6cCRWtGrlD9j+uKCaXpkBRg1J4khRKfkl5Ur88mU1lfyFh2DFBqju5FtEEkMZkBSRc9XQybO04CUb+C7QPXj5DjA2/KFJS5edDZ07BNiWk8LhQs3jL2dRU8mflwZlmTD7Rt8iIiJh0dAiPf8MYGbvA2Odc8XB2z8GFkckOmnREhNhxrQA815rR6fKFC4dl6SjfanfsZOwbgeMzoaxOq4QCadQymU7A7VnYSkPbhNp1OjRcFHvABs+SqW6TElf6nHqFMyf71fcu/Za3xoiImETSuJ/EfjYzH4cPNpfA/w+nEFJ7EhI8KdrnfOf7VVV0Y5Imo3SAsjbBS//3if/W26B1q2jHZVIzGs08Tvn/h9wL1AQvNzrnPu3cAcmsaN9ez/j6qFD8MaiSvYcO0VhSUXjD5TYVdPC98enIecdmHa5n6xHRMLurInfzNKDPzOBvfipe18C9gW3NcrMZpjZDjPLNbPv13N/KzN7NXj/GjPrU+u+R4Pbd5jZVbW2tzOz+Wa23cy2mZmm9WoBhg6FYSMrefnNk8z78wkWbzqs5B/PSvJh137Y+QUM7QP9lfRFIqWhI/5Xgj/XATm1LjW3G2RmAeBXwExgKHCHmQ2ts9v9QIFzrj/wC+CnwccOBW4HhgEzgKeDzwd+eeAlzrnBwChgW2OxSPMwemIZ6ZlV7NuQTkWVFvCJa6cNPvgU2ifDpSN9S5+IRERDVf2zgj/7nudzTwBynXO7AcxsLn5536219rkO+HHw+nzgKTOz4Pa5zrkyYI+Z5QITzGwr8DXgm8HYyvly4aE0Y53SkxkytpBVfw6QdzCJzNFq7YtbH66FzsPgnpugc2/f0iciERHKsryTzKxN8Po3zOwJM+sVwnN3Bw7Uun0wuK3efZxzlUAh0KGBx/YF8oDfmdknZvbbmtik+ctITeLbs7IY2juFtKLOau2LV3v2wLZtcMU06DNaSV8kwkKp6n8GKDGzUcAjwGf4c/3RkIifPOgZ59wY4BTwldoBADN7wMxyzCwnLy8vkjFKA9q3TeKqy1tx5GAix45FOxqJqJoq/jf/x7fuadU9kagIJfFXOuccfvj9Kefcr/Az+jXmENCz1u0ewW317mNmifiV/4438NiDwEHn3Jrg9vmcZRZB59yzzrls51x2VlZWCOFKpIwbB4EAvPeBKvzjRk0V/5KXYPMKuGwCJGnERyQaQkn8xWb2KPANYLGZJQCh/MWuBQaYWV8zS8YX6y2ss89C4J7g9ZuBZcEvGQuB24NV/32BAcDHzrmjwAEzGxR8zNf5cs2AtABt2kCf/pX86d1ilm/NU4V/PCjJh7Iy2HQIOrWHPpoDTCRaQkn8twFlwP3BxNsD+FljDwqes38QWIqvvJ/nnNtiZo+Z2ezgbs8BHYLFew8THLZ3zm0B5uGT+hLge865mqlf/jfwspltBEYDPwnlhUrz0m9YOeXlRumRNKqcKvxjXkp7WLkZCvJg4kho0yHaEYnELfMH2LEtOzvb5eQ02oEoEXTiVAV/969FVFTA9JtPMmukluuNWc7B0qXwwXKYMBKmX62CvhbAzNY557KjHYc0vVCq+m80s11mVmhmRWZWbGZFkQhOYle7Nkncd0M67RLSSC/orqQfy95/H1avhslTYPadSvoiURbKgtf/AVzrnNNEOdKkLh2fxLGjsG4N9OoGo0ZFOyJpcmvXwvLlfrWmGTO0AI9IMxDKOf7PlfQlHMzgmmugb19YuBD27o12RNKkSkpg0evQJR2mXaakL9JMhJL4c4Lz6d8RHPa/0cxuDHtkEhcCAbj1Vr+QzwsvVbF+p9r7YsaHy+DIZrgoAbYt9C19IhJ1oST+dKAEmA5cG7zMCmdQEl9SUuDaGyrYfrSIZ14sZdFGtfe1eJWVsPJD6NkJeg8CV+1b+kQk6ho9x++cuzcSgUh8q25VzpDxpeSuTWfvrjLy+5er4K8l27gRKhyMGQBFh8EStBCPSDMRSlX/QDP7i5ltDt4eaWb/FP7QJJ5kpibTb3AFyRmn2fJxKimmBXxaLOdg1SrodRFM+xZcNAWGXa9qfpFmIpSh/t8AjwIVAM65jfhZ+ESaTEZqErNGduOBOan0zkgnZ5WO9lusXbsgL8/PxZ+aCR36KemLNCOhJP5U59zHdbZVhiMYiW8ZqUlMGJbK5ZMDrFsHh+qu7CAtw6pVkJ4Ow4ZFOxIRqUcoif+YmfUDHICZ3QwcCWtUEteuuAICyVW88GoZJ06pyK9Fyc2FnVthSE8o1zxfIs1RKIn/e8CvgcFmdgj4W+C74QxK4tvpqgoSenzO2q2l/ObNL1Th31Lk58PcP0DVEcjI96vxqYVPpNlpNPE753Y756YCWcBg59xk59zesEcmcSu/pJzu/crp0SWBzTmtOXZSC/g0e+XlMHcuVJTAtGzo0EstfCLN1Fnb+czs4bNsB8A590SYYpI4l5maTFLA6D6smMN/acOR3cn06xTtqOSsnIPXX/cFfbfeDqWfqoVPpBlrqI8/LfhzEDAeWBi8fS1Qt9hPpMlkpCZxzYhuHL+onNbHWrNuTYBLx/tZ/qQZysmBrVth+nQYNhZK+/oj/dRMVfOLNENnTfzOuX8GMLP3gbHOueLg7R8DiyMSncStjNQk3+I3E/7wB1i/HsaPj3ZU8hXOwcqV0KuXb98Dn+yV8EWarVCK+zoDtU+ylge3iYRdv37QsXMlr79dxrFCFfk1O7t3wxeHYWBXOH0i2tGISAhCSfwvAh+b2Y+DR/trgN+HMyiRGkWlFVR2+Zyt+0t5dmGeKvybm5Xvwck9EDigKn6RFiKUqv7/B9wLFAQv9zrn/i3cgYmAr/DP7FJBjy4J5G5NJr9EFf7NRnExbNkEA3pAZk9V8Yu0EI0u0gPgnFsPrA9zLCJfkZmaTGKC0aHvSQ6vSqW8MBk6RjsqAXzhRaAVDOmhKn6RFiSkxC8SLTUV/mO7l1N1oDU7twYY1C/aUQnV1T7xDx4OE2epil+kBQnlHL9IVGWkJjG4RxvGjw2wcSOcPh3tiITcXCgshOxsn+y1EI9IixFS4jez3mY2NXg9xczSGnuMSFPLzoaKCr/Uu0TZ2rWQlgYDB0Y7EhE5R40mfjP7NjAfP18/QA/g9TDGJFKvbt385YOVVezOO6UK/2jZvBm2boRB3bUQj0gLFOoiPZOAIgDn3C5AE6hKVAweXsHKzcW88WE+izcdVvKPtBMnYME8SPgCsorVwifSAoWS+Mucc3/toTKzRIJL9IpEWpe+5SSnVLNrTTuKi1F7XyRVV8Nrr/mFeK4YC+16qIVPpAUKJfGvMLMfAClmNg34E/BmeMMSqV/njGQmzyjhWGElK99OI7k6OdohxY/33oMDB+C6GyC9rVr4RFqoUNr5vg/cD2wC/hfwFvDbcAYlcjYZqUl844rOjOpewdLXW7HwtQDf/CakpEQ7shh39Ch88AGMGQPZk6B0qFr4RFqoRhO/c64a+E3wIhJ1GalJTB6dRNc0eOUVmDcP7r4bgitGSzisW+eXR7zqKn9bC/GItFhnTfxmtokGzuU750aGJSKREPXrBxO/VsnCxdWM3WGMGJwU7ZBiU2UlrP8YenYCVwq0jnZEInIBGjrHPwu4FlgSvMwJXt7GD/eLRFVhSQWHEg/xeclJ/nveCVX4h8uGNXBgA7RTFb9ILDhr4nfO7XPO7QOmOef+wTm3KXj5R2B65EIUqV9+STkWcIwfD4f3J7Fznyr8w2LtKmjTGgaPVBW/SAwIparfzGxSrRsTQ3ycSFhlpiYTMCOjdzFJiY6dG1tFO6TYU1gIh47BoN5QfERV/CIxIJSq/vuB580sI3j7BHBf2CISCVHNAj75JeW0u6oV2zYnUlQE6enRjiyGfPopJLaG2fdAq2pV8YvEgFCq+tcBo2oSv3OuMOxRiYQoIzWJjNQk2l8BWzfB6tUwXSeimoZzsGED9OkD3fpGOxoRaSIhD9k75wrPNemb2Qwz22FmuWb2/Xrub2VmrwbvX2NmfWrd92hw+w4zu6rO4wJm9omZLTqXeCR2tWsHw4ZBTo5W72sy+/dDfr7v3ReRmBG2c/VmFgB+BcwEhgJ3mNnQOrvdDxQ45/oDvwB+GnzsUOB2YBgwA3g6+Hw1HgK2hSt2aZlGjKng8xPlrPioMtqhxIaPlkNlMfTpEu1IRKQJhbNIbwKQ65zbHZzrfy5wXZ19rgNeCF6fD3zdzCy4fa5zrsw5twfIDT4fZtYDuAbNHii1FJZUkJN3mNOtC3nxjSLyi9Xad0H27oAVr0NXYNdbauETiSENTeBzY0MPdM4taOS5uwMHat0+CFx8tn2cc5VmVgh0CG5fXeex3YPXfwn8A5DWyO+XOJJfUk6Vc0y81Hj9tQRWr6vk6ima0Oe8/XkpJAZg8mVQfty38KmoTyQmNFTcd20D9zmgscTf5MxsFvCFc26dmU1pZN8HgAcAevXqFf7gJKpqWvtcu5O0a5/G9k+TmXm5pvE9L4cPw55DMHKAT/pq4ROJKWdN/M65ey/wuQ8BPWvd7hHcVt8+B4PL/WYAxxt47GxgtpldjZ83NN3M/uCc+0Y98T8LPAuQnZ2tZYRjXO3Wvj43JLPsnQB79sBFF0U7shZo2TJIz4Tb7oGqU2rhE4kxDQ31f8M59wcze7i++51zTzTy3GuBAWbWF5+0bwfurLPPQuAeYBVwM7DMOefMbCHwipk9AXQDBgAfO+dWAY8G45sC/F19SV/iU01rX8928PFKWLlSif+c7d8PubkwbRq0U1GfSCxqaKg/NfjzvM6lB8/ZPwgsBQLA8865LWb2GJDjnFsIPAe8ZGa5QD7+ywHB/eYBW4FK4HvOuarziUPiT2IiTJgAby2tYu220wzsnUxGqs73h2TJm2BlMGJAtCMRkTAx5+ofBTeznzrn/tHMbnHO/SnCcTWp7Oxsl5OTE+0wJIKOHKvgoX86SYeulUy+qoRZI7sp+Tdm1yb42T/BJcP8+f1h12uIP46Z2TrnXHa045Cm11A739XB1rpHIxWMSFM5TTlDsk9z6osUdu9IIr9EC/g0avlfIDkJxl+ixXhEYlhDiX8JUACMNLOiWpdiMyuKUHwi5yUzNZmBw8tpnVnK5tUpJJQlRzuk5i0vD/YdgeEXwek8VfKLxLCGluX9e+dcO2Cxcy691iXNOadlUKRZy0hNYtbIbnzvm6kM7pLO8neTOMtZLQH46CNITYdbHoKLpmiYXySGNThzX3CaXCV5aZEyUpMY1a8N188OsHevX8BH6lFYCBs3wtix0KE7dOinpC8SwxpM/MFK+upaS/KKtDijR0OP3pW8tqicLwo0le9X1HwjuvTS6MYhIhERylz9J4FNZvacmT1Zcwl3YCJNpai0gtMdj/LZ5yX8+vVjFJYo+f9V/mH44B0Y0McvcSgiMa+hPv4aC4jC9LwiTSW/pJz0jpX07pFA7tZkjp8qV2sf+IV3/vgEfJELl/X0tzXELxLzGk38zrkXzCwF6OWc2xGBmESaVGZqMokJRoe+JznwQSol+cmQFe2omoHDe2BTLowaCZlpWohHJE40OtRvZtcCG/DtfZjZ6OCUuiItQs08/rdOy2BErzR2bNbRPgBrNkJCAgztrPY9kTgSyjn+HwMTgBMAzrkNgGZAlxYlIzWJQd3acPH4AFu3wqlT0Y4oyg4cgJ17YfY3YeRMte+JxJFQEn+Fc66wzrbqcAQjEm7Z2VBVBevXRzuSKHIOli6Ftm3hyhlq3xOJM6Ek/i1mdicQMLMBZvZfwMowxyUSFllZ0LlbJe+sKKPgZJxW969fBTs3wsRsSNaMhiLxJpTE/7+BYUAZ8ApQCPxtGGMSCZvCkgqK075g895Snnvri/hr7SstgNd+DRyHxM/8bRGJK2et6jez1sB3gP7AJuBS51xlpAITCYf8knI69yqnc2YauzYnk39lnLX27dkBeQUw7QowVMkvEocaOuJ/AcjGJ/2ZwOMRiUgkjDJTk0lKNDr2O8mxw0lUFsfZUPfO/RAIQNdWquQXiVMN9fEPdc6NADCz54CPIxOSSPjUtPaN7lrOH4+0ZtumAAP6RjuqCKmshB174GvXwdDLfNLX0b5I3GnoiP+vJz81xC+xJCM1iaG92jBhXICNG6GkJNoRRcj27VBaChdfpkp+kTjWUOIfZWZFwUsxMLLmupkVRSpAkXC55BJ/ELzio0r2HDsV+4V+69f7+fgv0jQcIvHsrEP9zrlAJAMRibSsLOjao5I/vFnE9NQikhKNa0Z0i81ivyN7YXMOTJ0OZtGORkSiKJR2PpGYNWBEOSUlCZTnpVHlHPkl5dEOqemVFsAbT8OJfZC8Ty18InFOiV/i2tjhSWS0q2blKkcCRmZqDFb5nzgK2/fBgIHQprVv4RORuKXEL3GtXZsk7r0hjXSXzrC2MTrM/8F6KC2DgR3VwicijS/LKxLrJl2cRM5q2LgeRg+PdjRNbNMm2LoLrr8XJgxXC5+I6IhfJDHRV/jv3g2HD0c7miaUnw9vvgm9esFV16qFT0QAJX4RwK/a17o1vPOXGGntK86D3z0N1eVw002QoD91EfH0aSACtGoFQ0dU8ub7J3l73XEWbzrccpN/aQEs+C/Y/jEMToZkraItImco8YsEXTSsDEtwHNuV3rJb+0ryYfte6NEbendWFb+IfIkSv0hQz07J9B1UwacbHeUlCS23ta+wHI4XQu90VfGLyFco8YsEZaQm8eBt7enZvg2ZJ1twa9+23dB1OEy9E4Zdr4I+EfkSJX6RWnp3T+KyCcls25xIaWm0ozkPFRW+hW/UOOgxTElfRL5CiV+kjkmToLwc1q6FwpKKllXlv20bnD4NY8dGOxIRaaY0gY9IHV26wIABsOKDKvYGDmMBR8BawAI+pQXw/hJIaw29e0c7GhFppnTEL1KPyZPhWGEVu7cn0TU9pflX+ZcWwEd/gE8/hPRCOH0i2hGJSDOlxC9Sj169oH/fBD7b3JpDBaUErJkv4FOSDzv2Qut0GNBDLXwiclZhTfxmNsPMdphZrpl9v577W5nZq8H715hZn1r3PRrcvsPMrgpu62lmy81sq5ltMbOHwhm/xC8zmH5lIt1TM2hX2rn5D/MnpMK2fdC1DbRNVQufiJxV2BK/mQWAXwEzgaHAHWY2tM5u9wMFzrn+wC+AnwYfOxS4HRgGzACeDj5fJfCIc24ocAnwvXqeU6RJDBwIg/oH2LE+hWRrxkkfYMN2yOjnF+NRC5+INCCcR/wTgFzn3G7nXDkwF7iuzj7XAS8Er88Hvm5mFtw+1zlX5pzbA+QCE5xzR5xz6wGcc8XANqB7GF+DxDEzmDkTSkvhvfeacYV/aSmsXg0jx8LQS5T0RaRB4azq7w4cqHX7IHDx2fZxzlWaWSHQIbh9dZ3HfinBB08LjAHWNGnUIrV06eIX8PlgZRV7OUrb9lXNq8K/tACWLoaTJ+Dyy6MdjYi0AC2yuM/M2gKvAX/rnCs6yz4PmFmOmeXk5eVFNkCJKVdcAVVWxScrW9MlrRlV+JcWwLp58O7/QJsiyGgV7YhEpAUIZ+I/BPSsdbtHcFu9+5hZIpABHG/osWaWhE/6LzvnFpztlzvnnnXOZTvnsrOysi7wpUg8S02Fq6YmcPxIEus2VjafCv+SfNiUC9Yaxg5QJb+IhCSciX8tMMDM+ppZMr5Yb2GdfRYC9wSv3wwsc8654Pbbg1X/fYEBwMfB8//PAducc0+EMXaRL5kyOZFLh6VRcbAjVw9vJsP8gTaweQ90S4OO7VXJLyIhCVvid85VAg8CS/FFePOcc1vM7DEzmx3c7Tmgg5nlAg8D3w8+dgswD9gKLAG+55yrAiYBdwFXmtmG4OXqcL0GkRoJCfD1KQGqTrUi//NmkPQBPjsE7frBrDmq5BeRkJk/wI5t2dnZLicnJ9phSAtXWQm/+AV06wZz5kQ7GuA3v/GL8nz3u74FQaQJmdk651x2tOOQptcii/tEoiExEcaPh127YPf+KLf2HT0Khw75xXiU9EXkHCjxi5yD8eOh0lXx9J8K+DA3j8WbDkc2+ZcWwPHPYPX7EAjAyJGR+90iEhOU+EXOQZs20HtABft2JdE+KcKtfaUFsOV12Pln+PM86N/LtxyIiJwDJX6Rc3TF5ADVlcbqtdWRbe0ryQdXDXlVUFYOg7T0roicOyV+kXPUv08S0y9pi/sik+mDI9jal5oJlgDrciCjLQzWML+InDslfpHzcNXURJKqW7F9UwRb+1LaQ5evQWlbmPEN9e2LyHlR4hc5D336wKBB8MEHcOpUhBbwcQ7eWwUZneHiy8L3e0QkpoVzkR6RmDZ1KjzzDLy1tJKK7oepci48C/iUFvjz+5t3Q24uXHMNpKU13fOLSFzREb/IecrKgnHjYOXH1ZwoMLqmh6HKv6aSP2chzH0G+nT3ywWKiJwnJX6RC3D55ZCWEmBbTgpHikqbvsq/JN/PzrfqM0gKwJWXaMIeEbkgSvwiF6BtW5h6RYA2pZn0TurU9MP8qZmwficc2g9TxkFWj6Z7bhGJS0r8Ihfo0kuhW+cA6z9IpXWgiav8T1XB0SS4/BqY+b+0EI+IXDAlfpELlJQE118PhYXwzjtN/OTvvAOp6XDDN5T0RaRJKPGLNIFevWDiRFi3Dj7Z1EStfZ99Bjt3wte+5ucKFhFpAkr8Ik3kiiugbUYVj/+mmGWbj13YAj6njsOCP0DbVnDxxU0bqIjENSV+kSaSmAiTp5VxutQ4uCnj/Fv7Sgvgtf+EneugVxVUFDd9sCISt5T4RZrQkIuSGDSqnA2fQv6RxPNr7ft8P+Rsg779oE8X39InItJElPhFmlBGahIP35XJ8D4pVOztSttW51jlX1YGC/8CVdUwrhckBDQnv4g0KSV+kSbWMSOJb9zSipOFAVavPocHVlXBvHlw4iR89weQPRuGXa9qfhFpUpqrXyQMBg3ylyXvVtG262n6dElueGIf5+DNN30l/3XXwfAxkQtWROKKjvhFwmTi5RXsOFrEsy+XsGhjIxX+K96BlcvgkrEwRklfRMJHiV8kTKqTyxk45jTFR1PYtSXp7BX++3bCq7+G9NPQ4Ziv6hcRCRMlfpEwyUxNZsioctp2LmXzmlSKvqinwr+qCubPg8QEuGYm4FTFLyJhpXP8ImGSkZrErJHdGNeznEXzWrN0UYBeXaF97Vq999+H/GL42hiozAdLUBW/iISVjvhFwigjNYnB3dtw790Bqqth7lworxnxP3QIPvgAsi+BWX8DF01RFb+IhJ0Sv0gEdOgAt9wC+w9V8eSzZRzfsR9efdWv6ztzpk/2Hfop6YtI2Cnxi0RIx64VZAz+nL0rPuXDv/k1p8qqYc4caN062qGJSBxR4heJkPySckaVruaehNc4VNaJFxJvoZKTquIXkYhS4heJkI652+ix5n1KR/Tk1F3TOLT9OHN/fYDT699U8heRiFFVv0gk5OWR9pel9Bs/gs9vuJUx5YfYlbqfRWuH8dvXk7mj0wk6DND5fREJPx3xi4RbRQX86U+QnEzqnbfSt1MaaR06M3ZIAfdMXU9JWRK/mduZ3NxoByoi8UCJXyTc3noL8vLgxhshLc1vS2kPw66n96RsHnh0AO2yUvnDH+CNN+DUqeiGKyKxTUP9Ik2tqAj27oWjR+HIEdizB772NejX70u7Fbq25LtkMjOSue8+WLECVq2CbdvgyishOxsS9NVcRJqYEr9IU6mu9pl7+XKorITEROjUCSZNgilT/D6lBVCST6Gls3hXCVXOETDjmhHdmDYtiTFj/ADBW2/BmjVw+eUwfLi+AIhI0wlr4jezGcB/AgHgt865f69zfyvgRWAccBy4zTm3N3jfo8D9QBXwf5xzS0N5TpGoOHIEFi70PwcP9ok+KwsCgTP7lBbAltfBVVN+qoJAYCKdOnTmSFEp+SXlZKQm0bEj3HUX7Njhvz8sWOAn97vkEujfHzIyovUCRSRWhC3xm1kA+BUwDTgIrDWzhc65rbV2ux8ocM71N7PbgZ8Ct5nZUOB2YBjQDfizmQ0MPqax5xQJr+pqyM+Hw4dh3z5/OXbMz8J3662c7NeTt/ctYWbmTNoG2p55XEk+uGpI70ab8v2klp3gSFE6ATMyU88s4GPmvzsMGuSH/d97D95809+XleXPGPTsCT16QHq6319EJFThPOKfAOQ653YDmNlc4DqgdpK+Dvhx8Pp84Ckzs+D2uc65MmCPmeUGn48QnlPk3Djnh+ZPn4bSUl+FX6OqCk6cgOPH/SUvzyf5qip/f6tW0KsXjBkDY8dCSgpv7/wTj616DIBbBt5y5rlSM/0iPEWHSW2VzNeGDCG/OpXM1GQyUpO+EpYZDB0KQ4b4X5ubC599Bjk5sHq13yctzZ9N6NjRXzIyIDUVUlL8hIC1vxQkJPizD4GAviyIxLNwJv7uwIFatw8CF59tH+dcpZkVAh2C21fXeWz34PXGnvOrjhyBn/zkXGKXWOGcv9RcD/W+usygXTufXfv394fenTv7S50T8DP7zPzSz78KVvJTkg+pmWSktCeUkXszn9w7dYKJE/13js8/h4MH/To/eXnwySe1Fv8J4fkSEr788mu2melLgUisi9niPjN7AHggePOk/fCHO6IZD9AROBblGJoLvRdn+PfCEgIWSEx0VZWVuOqqaAcVJfp/cUZzeC96R/n3S5iEM/EfAnrWut0juK2+fQ6aWSKQgS/ya+ixjT0nAM65Z4Fnzzf4pmZmOc657GjH0RzovThD78UZei/O0Hsh4RTOJqG1wAAz62tmyfhivYV19lkI3BO8fjOwzDnngttvN7NWZtYXGAB8HOJzioiIyFmE7Yg/eM7+QWApvvXueefcFjN7DMhxzi0EngNeChbv5eMTOcH95uGL9iqB7znnqgDqe85wvQYREZFYY66xoiZpEmb2QPD0Q9zTe3GG3osz9F6cofdCwkmJX0REJI5oIlAREZE4osQfIWb2iJk5M+sYvG1m9qSZ5ZrZRjMbG+0Yw83MfmZm24Ov93/MrF2t+x4Nvhc7zOyqKIYZEWY2I/hac83s+9GOJ5LMrKeZLTezrWa2xcweCm7PNLN3zWxX8Gf7aMcaKWYWMLNPzGxR8HZfM1sT/P/xarCYWaRJKPFHgJn1BKYD+2ttnonvVhiAn2/gmSiEFmnvAsOdcyOBncCjAHWmaJ4BPB2c8jkm1ZrOeiYwFLgj+B7Ei0rgEefcUOAS4HvB1/994C/OuQHAX4K348VDwLZat38K/MI51x8owE9vLtIklPgj4xfAPwC1CyquA1503mqgnZl1jUp0EeKce8c5Vxm8uRo/DwPUmqLZObcHqD1Fcyz663TWzrlyoGbq6bjgnDvinFsfvF6MT3jd8e/BC8HdXgCuj0qAEWZmPYBrgN8GbxtwJX4ac4ij90IiQ4k/zMzsOuCQc+7TOnfVN6Vxd+LHfcDbwevx9l7E2+s9KzPrA4wB1gCdnXNHgncdBTpHK64I+yX+wKA6eLsDcKLWl+S4/f8h4RGzU/ZGkpn9GehSz10/BH6AH+aPCw29F865N4L7/BA/3PtyJGOT5sXM2gKvAX/rnCuyWosEOOecmcV8y5GZzQK+cM6tM7MpUQ5H4oQSfxNwzk2tb7uZjQD6Ap8GP9R6AOvNbAKhTWnc4pztvahhZt8EZgFfd2d6SWPyvWhAvL3erzCzJHzSf9k5tyC4+XMz6+qcOxI87fVF9CKMmEnAbDO7GmgNpAP/iT/1lxg86o+7/x8SXhrqDyPn3CbnXCfnXB/nXB/8kN1Y59xR/FTDdwer+y8BCmsNc8YkM5uBH9Kc7ZwrqXXX2aZojlVxPfV08Bz2c8A259wTte6qPYX3PcAbkY4t0pxzjzrnegQ/H27HT1s+B1iOn8Yc4uS9kMjREX/0vAVcjS9kKwHujW44EfEU0Ap4NzgCsto5952GpmiORWebzjrKYUXSJOAuYJOZbQhu+wHw78A8M7sf2AfcGp3wmoV/BOaa2b8Cn+C/KIk0Cc3cJyIiEkc01C8iIhJHlPhFRETiiBK/iIhIHFHiFxERiSNK/CIiInFEiV9ERCSOKPGLiIjEESV+kQgzs/FmttHMWptZm+Ca9MOjHZeIxAdN4CMSBcEZ2VoDKcBB59y/RTkkEYkTSvwiURCco38tcBqYGMtTFItI86KhfpHo6AC0BdLwR/4iIhGhI36RKDCzhcBc/LLNXZ1zD0Y5JBGJE1qdTyTCzOxuoMI594qZBYCVZnalc25ZtGMTkdinI34REZE4onP8IiIicUSJX0REJI4o8YuIiMQRJX4REZE4osQvIiISR5T4RURE4ogSv4iISBxR4hcREYkj/z8pTOojw3lXpQAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#DATOS 3\n",
+    "s=np.loadtxt('Ejemplos/Datos3A.txt')[:, 1]   # Almacena concentraciones de A\n",
+    "e=np.loadtxt('Ejemplos/Datos3A.txt')[:, 0]   # Almacena x\n",
+    "\n",
+    "s2=np.loadtxt('Ejemplos/Datos3B.txt')[:, 1]  # Almacena concentraciones de A\n",
+    "e2=np.loadtxt('Ejemplos/Datos3B.txt')[:, 0]  # Almacena x\n",
+    "\n",
+    "d=np.loadtxt('Ejemplos/Datos3Desp.txt')[:, 1] # Almacena distribución de espaciamiento\n",
+    "d2=np.loadtxt('Ejemplos/Datos3Desp.txt')[:, 0] # Almacena x\n",
+    "\n",
+    "\n",
+    "print('izquierda')\n",
+    "mi, bi, rmsi = lineal(e,s,-1)\n",
+    "\n",
+    "print(' ')\n",
+    "\n",
+    "print('derecha')\n",
+    "md, bd, rmsd = lineal(e2,s2,1)\n",
+    "\n",
+    "#GRAFICAS\n",
+    "\n",
+    "fig1=plt.figure(1)\n",
+    "plt.plot(e,s,c='b', alpha=0.5)\n",
+    "\n",
+    "\n",
+    "plt.plot(e2,s2,c='r', alpha=0.5)\n",
+    "\n",
+    "\n",
+    "plt.legend(['Particulas A', 'Particulas B'],loc='upper right',bbox_to_anchor=(1.35, 1))\n",
+    "plt.xlabel('x')\n",
+    "plt.ylabel('Perfil de densidad')\n",
+    "plt.scatter(e,h(e,mi,bi), alpha=0.3, marker='.')\n",
+    "plt.scatter(e,h(e,md,bd), alpha=0.3, marker='.')\n",
+    "plt.ylim(0,0.0101)\n",
+    "plt.xlim(-50,50)\n",
+    "plt.scatter(-3.1,0.0001, s=0.8)\n",
+    "plt.show()\n",
+    "\n",
+    "fig2=plt.figure(2)\n",
+    "plt.plot(d2,d,c='b', alpha=0.5)\n",
+    "\n",
+    "\n",
+    "plt.xlabel('x')\n",
+    "plt.ylabel('Distribución de espaciamientos')\n",
+    "\n",
+    "\n",
+    "plt.scatter(26,0.0001, s=0.8)\n",
+    "plt.show()\n",
+    "\n",
+    "\n",
+    "#python3 run.py 50 0.5 1 0.1 50000 10000 'Datos3'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "izquierda\n",
+      "coefficient of determination: 0.9976852271193145\n",
+      "intercept: 0.0001545173160173172\n",
+      "slope: [-0.00029988]\n",
+      " \n",
+      "derecha\n",
+      "coefficient of determination: 0.9980065263545829\n",
+      "intercept: 0.0004307900432900429\n",
+      "slope: [0.00029986]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# DATA 5, 6, 7, 8 (COMPARACION ENTRE SIMULACIONES):\n",
+    "\n",
+    "cinco=data('Data5')\n",
+    "\n",
+    "print('izquierda')\n",
+    "mi, bi, rmsi = lineal(cinco[1],cinco[0],-1)\n",
+    "\n",
+    "print(' ')\n",
+    "\n",
+    "print('derecha')\n",
+    "md, bd, rmsd = lineal(cinco[3],cinco[2],1)\n",
+    "\n",
+    "fig1=plt.figure(1)\n",
+    "plt.plot(cinco[1],cinco[0],c='b', alpha=0.5)\n",
+    "plt.scatter(cinco[1],h(cinco[1], mi, bi), alpha=0.3, marker='.', c='g')\n",
+    "\n",
+    "plt.plot(cinco[3],cinco[2],c='r', alpha=0.5)\n",
+    "plt.scatter(cinco[3],h(cinco[3], md, bd), alpha=0.3, marker='.', c='m')\n",
+    "\n",
+    "plt.ylim(0,0.0101)\n",
+    "plt.xlim(-50,50)\n",
+    "plt.legend(['Particulas A', 'Particulas B'],loc='upper right',bbox_to_anchor=(1.35, 1))\n",
+    "plt.xlabel('x')\n",
+    "plt.ylabel('Perfil de densidad')\n",
+    "plt.scatter(cinco[1][30],cinco[0][30], s=20, c='g')\n",
+    "plt.scatter(cinco[3][69],cinco[2][69], s=20, c='m')\n",
+    "plt.show()\n",
+    "\n",
+    "fig2=plt.figure(2)\n",
+    "\n",
+    "plt.plot(cinco[5],cinco[4],c='b', alpha=0.5)\n",
+    "\n",
+    "plt.xlabel('x')\n",
+    "plt.ylabel('Distribución de espaciamientos')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(array([51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 62, 64, 65, 66, 67, 68, 69]),)"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Para ubicar los puntos de intersección\n",
+    "Q=h(cinco[1],md,bd) #Recta\n",
+    "w=abs(Q-cinco[2]) <0.0001\n",
+    "np.where(w==True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#COMPARACION\n",
+    "\n",
+    "fig1=plt.figure(1)\n",
+    "plt.plot(e,s,c='b', alpha=0.5)\n",
+    "plt.plot(cinco[1],cinco[0],c='m', alpha=0.5)\n",
+    "\n",
+    "plt.plot(e2,s2,c='b', alpha=0.5)\n",
+    "plt.plot(cinco[3],cinco[2],c='m', alpha=0.5)\n",
+    "\n",
+    "plt.legend(['Conf.A', 'Conf.B'],loc='upper right',bbox_to_anchor=(1, 0.3))\n",
+    "plt.xlabel('x')\n",
+    "plt.ylabel('Perfil de densidad')\n",
+    "plt.show()\n",
+    "\n",
+    "\n",
+    "fig2=plt.figure(2)\n",
+    "plt.plot(d2,d,c='b', alpha=0.5)\n",
+    "plt.plot(cinco[5],cinco[4],c='m', alpha=0.5)\n",
+    "\n",
+    "plt.legend(['Conf.A', 'Conf.B'])\n",
+    "plt.xlabel('x')\n",
+    "plt.ylabel('Distribución de espaciamientos')\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Estado dinámico - comparación distintas condiciones"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#COMPARACION ENTRE DISTRINTAS CONDICIONES INICIALES PARA UN TIEMPO = 1000\n",
+    "\n",
+    "#DATOS 9 Y DATA\n",
+    "\n",
+    "nueve=data('Data9')\n",
+    "dataf0=data('Data')\n",
+    "\n",
+    "fig1=plt.figure(1)\n",
+    "\n",
+    "plt.plot(nueve[1],nueve[0],c='m', alpha=0.5)\n",
+    "plt.plot(dataf0[1],dataf0[0],c='g', alpha=0.5)\n",
+    "\n",
+    "plt.plot(nueve[3],nueve[2],c='m', alpha=0.5)\n",
+    "plt.plot(dataf0[3],dataf0[2],c='g', alpha=0.5)\n",
+    "\n",
+    "plt.legend(['Conf.A', 'Conf.B'],loc='upper right',bbox_to_anchor=(1, 0.9))\n",
+    "plt.xlabel('x')\n",
+    "plt.ylabel('Perfil de densidad')\n",
+    "plt.show()\n",
+    "\n",
+    "fig2=plt.figure(2)\n",
+    "\n",
+    "plt.plot(nueve[5],nueve[4],c='m', alpha=0.5)\n",
+    "plt.plot(dataf0[5],dataf0[4],c='g', alpha=0.5)\n",
+    "\n",
+    "plt.xlabel('x')\n",
+    "plt.legend(['Conf.A', 'Conf.B'])\n",
+    "plt.ylabel('Distribución de espaciamientos')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Estado estacionario - Comparacion distintas condiciones"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#DATOS5, DATAF2, DATAF3, DATA F4"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Estacionario vs. Dinamico"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig1=plt.figure(1)\n",
+    "plt.plot(nueve[1],nueve[0],c='b', alpha=0.5)\n",
+    "plt.plot(cinco[1],cinco[0],c='g', alpha=0.5)\n",
+    "\n",
+    "plt.plot(nueve[3],nueve[2],c='b', alpha=0.5)\n",
+    "plt.plot(cinco[3],cinco[2],c='g', alpha=0.5)\n",
+    "\n",
+    "plt.legend(['Conf.A', 'Conf.B'],loc='upper right',bbox_to_anchor=(1, 0.3))\n",
+    "plt.xlabel('x')\n",
+    "plt.ylabel('Perfil de densidad')\n",
+    "plt.show()\n",
+    "\n",
+    "\n",
+    "fig2=plt.figure(2)\n",
+    "plt.plot(nueve[5],nueve[4],c='b', alpha=0.5)\n",
+    "plt.plot(cinco[5],cinco[4],c='g', alpha=0.5)\n",
+    "\n",
+    "plt.legend(['Conf.A', 'Conf.B'])\n",
+    "plt.xlabel('x')\n",
+    "plt.ylabel('Distribución de espaciamientos')\n",
+    "plt.show()\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
-- 
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