From f783b767dafeef0e05b77df08326d02926706580 Mon Sep 17 00:00:00 2001 From: Shuming Liu Date: Sun, 9 Jul 2023 20:50:20 -0400 Subject: [PATCH] Update tutorials --- tutorials/HPS-protein-condensate/DDX4.ipynb | 46 +++++++------------ .../DDX4_condensate.ipynb | 10 ++-- .../HP1alpha_dimer_and_dsDNA.ipynb | 10 ++-- .../condensate_analysis.ipynb | 14 +++--- .../hp1alpha_condensate.ipynb | 28 +++++------ .../hp1alpha_dimer.ipynb | 22 ++++----- tutorials/MRG-dsDNA/dsDNA.ipynb | 10 ++-- 7 files changed, 54 insertions(+), 86 deletions(-) diff --git a/tutorials/HPS-protein-condensate/DDX4.ipynb b/tutorials/HPS-protein-condensate/DDX4.ipynb index 9c3e7d3..f2eb0de 100644 --- a/tutorials/HPS-protein-condensate/DDX4.ipynb +++ b/tutorials/HPS-protein-condensate/DDX4.ipynb @@ -9,22 +9,9 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 5, "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "b7a111b53ee34e5a8773645803b6b9e4", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# load packages\n", "import numpy as np\n", @@ -62,7 +49,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -92,7 +79,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -108,11 +95,11 @@ "Set water dielectric as 80.0.\n", "Use platform: CPU\n", "#\"Step\",\"Time (ps)\",\"Potential Energy (kJ/mole)\",\"Kinetic Energy (kJ/mole)\",\"Total Energy (kJ/mole)\",\"Temperature (K)\",\"Speed (ns/day)\"\n", - "100,1.0000000000000007,426.4861149069394,864.7997214241839,1291.2858363311234,295.0680826552625,0\n", - "200,2.0000000000000013,494.52917464130536,807.7471804554941,1302.2763550967995,275.60186006384146,453\n", - "300,2.99999999999998,543.3895317584377,819.7461130785344,1363.135644836972,279.69587392078347,457\n", - "400,3.9999999999999587,490.5923645594664,851.3156034074129,1341.9079679668794,290.4673262593729,457\n", - "500,4.999999999999938,594.9643276032544,872.0971948033958,1467.0615224066503,297.55796722031056,460\n" + "100,1.0000000000000007,415.40962760108846,818.3687351783914,1233.7783627794797,279.22591510139614,0\n", + "200,2.0000000000000013,464.5620796734739,892.222926069195,1356.7850057426688,304.42482990483444,441\n", + "300,2.99999999999998,496.8126190050852,894.7733811728059,1391.586000177891,305.2950405197055,441\n", + "400,3.9999999999999587,470.2296462922997,890.0405431473952,1360.2701894396948,303.68020484494826,441\n", + "500,4.999999999999938,506.9387355003922,971.8017278232937,1478.740463323686,331.576971460703,441\n" ] } ], @@ -139,24 +126,23 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Show HP1alpha dimer slab simulation trajectory.\n" + "Show DDX4 simulation trajectory.\n" ] } ], "source": [ - "try:\n", - " traj = mdtraj.load_dcd(output_dcd, top=ca_pdb)\n", - " nglview.show_mdtraj(traj)\n", - " print('Show HP1alpha dimer slab simulation trajectory.')\n", - "except NameError:\n", - " print('Please install nglview to visualize molecules in the jupyter notebooks.')" + "# show trajectory\n", + "traj = mdtraj.load_dcd(output_dcd, top=ca_pdb)\n", + "print('Show DDX4 simulation trajectory.')\n", + "view = nglview.show_mdtraj(traj)\n", + "view" ] } ], diff --git a/tutorials/HPS-protein-condensate/DDX4_condensate.ipynb b/tutorials/HPS-protein-condensate/DDX4_condensate.ipynb index d7e2c72..2db103c 100644 --- a/tutorials/HPS-protein-condensate/DDX4_condensate.ipynb +++ b/tutorials/HPS-protein-condensate/DDX4_condensate.ipynb @@ -161,12 +161,10 @@ ], "source": [ "# view trajectory\n", - "try:\n", - " traj = mdtraj.load_dcd(output_dcd, top='start.pdb')\n", - " nglview.show_mdtraj(traj)\n", - " print('Show DDX4 simulation trajectory.')\n", - "except NameError:\n", - " print('Please install nglview to visualize molecules in the jupyter notebooks.')" + "traj = mdtraj.load_dcd(output_dcd, top='start.pdb')\n", + "print('Show DDX4 simulation trajectory.')\n", + "view = nglview.show_mdtraj(traj)\n", + "view" ] } ], diff --git a/tutorials/MOFF-protein-MRG-dsDNA-condensate/HP1alpha_dimer_and_dsDNA.ipynb b/tutorials/MOFF-protein-MRG-dsDNA-condensate/HP1alpha_dimer_and_dsDNA.ipynb index 44e0d9a..10789b3 100644 --- a/tutorials/MOFF-protein-MRG-dsDNA-condensate/HP1alpha_dimer_and_dsDNA.ipynb +++ b/tutorials/MOFF-protein-MRG-dsDNA-condensate/HP1alpha_dimer_and_dsDNA.ipynb @@ -349,12 +349,10 @@ ], "source": [ "# let's view the trajectory\n", - "try:\n", - " traj = mdtraj.load_dcd('output.dcd', top='start.pdb')\n", - " nglview.show_mdtraj(traj)\n", - " print('Show HP1alpha dimer and dsDNA simulation trajectory.')\n", - "except NameError:\n", - " print('Please install nglview to visualize molecules in the jupyter notebooks.')" + "traj = mdtraj.load_dcd('output.dcd', top='start.pdb')\n", + "print('Show HP1alpha dimer and dsDNA simulation trajectory.')\n", + "view = nglview.show_mdtraj(traj)\n", + "view" ] } ], diff --git a/tutorials/MOFF-protein-condensate/condensate_analysis.ipynb b/tutorials/MOFF-protein-condensate/condensate_analysis.ipynb index fe23860..fb26a3a 100644 --- a/tutorials/MOFF-protein-condensate/condensate_analysis.ipynb +++ b/tutorials/MOFF-protein-condensate/condensate_analysis.ipynb @@ -175,11 +175,9 @@ ], "source": [ "# let's view the slab simulation trajectory\n", - "try:\n", - " nglview.show_mdtraj(traj)\n", - " print('Show HP1alpha dimer slab simulation trajectory.')\n", - "except NameError:\n", - " print('Please install nglview to visualize molecules in the jupyter notebooks.')" + "print('Show HP1alpha dimer slab simulation trajectory.')\n", + "view = nglview.show_mdtraj(traj)\n", + "view" ] }, { @@ -196,7 +194,7 @@ "outputs": [ { "data": { - "image/png": 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dafk5p7GI1InBDhH5tIo62ZgAv8ansZoSaq/ZYYEykTox2CEinyZtEhjgp4W2znJyZ4T4c+k5kZox2CEinyYvO29ij53mBBs4jUWkZgx2iMinSdNYTe2e3Bx56TkLlIlUicEOEfm0ihbssdOcYE5jEakagx0i8mmV8u7JrZ/G4tJzInVjsENEPk3K7AS2IbMTwpodIlVjsENEPs01mR22iyBSMwY7ROTTyl1Qs8NGoETqxmCHiHyaKzI7UoGyyWJFdY3FJeMiIuVgsENEPs0VNTvBdZats0iZSH0Y7BCRT3NFZkejEbixIJGKMdghIp9W7oJNBQHW7RCpGYMdIvJpUm+s4DZMYwHsj0WkZgx2iMinye0i2tAbC6gNlkqZ2SFSHQY7ROTTpMxOUJunsWx77bBAmUh9GOwQkU+Tup4HtqFAGWB/LCI1Y7BDRD5NmsZqy6aCABDKAmUi1WKwQ0Q+rdIFOygDtTU7ZZzGIlIdBjtE5LNEUZSnsdqyzw5Qtz8Wp7GI1IbBDhH5LKPZCqto+3dbdlAG6i49Z2aHSG0Y7BCRz6q7cirQzzVLzxnsEKkPgx0i8llSvU6gXguNRmjTY3HpOZF6MdghIp9Vu+y8bVNYAHdQJlIzBjtE5LPkJqBt3D0ZYM0OkZox2CEin1UhT2O5IrNjn8ZisEOkOgx2iMhnyRsKtnHZOVBboFxuMsMqLfEiIlVgsENEPqvC5JoNBYHaaSxRrK0FIiJ1YLBDRD7LlTU7Bp0Gflrbii7W7RCpC4MdIvJZrqzZEQShzi7KDHaI1ITBDhH5LFfW7AB16naMXH5OpCYuC3YqKiqwdetWVz0cEVGz5L5YLqjZAWrrdkqZ2SFSFZcFO6dOncKYMWNc9XBERM1yVcdziRTscPk5kbpwGouIfFbtDsqumsZizQ6RGjHYISKfVVxpq60JdlFmJ9SfNTtEasRgh4h81pkL5QCAlOgglzxeMFtGEKlSi78OrVmzpsnb09PT2zwYIqKWqjCakVNSDQDoFhPsksdkfywidWpxsDNt2rRmjxEEoS1jISJqsdP2rE50sB7hgXqXPCb32SFSpxYHO1ar1Z3jICJyysnztmCnawfXZHWA2tqfsmrW7BCpCWt2iMgnnbJndlw1hQXUWXpuZGaHSE1atYQhOzsbv/76K/Lz8+tlfO6//36XDIyIqCmn8m3BTnc3BDucxiJSF6eDnbS0NMydOxd6vR5RUVEOdTqCIDDYISKPOJ0vZXZCXPaYtTU7nMYiUhOnp7GeeOIJPPHEEygpKUFGRgbS09Ply5kzZ5x6rK1bt+L6669HQkICBEHA119/7XD7rFmzIAiCw2XYsGEOxxiNRsyfPx/R0dEICgrClClTcO7cOWdPi4h8iMlsRebFSgCuncaq7Y3FzA6Rmjgd7FRWVmLGjBnQaNpe7lNRUYF+/frhjTfeaPSYa665Brm5ufLl+++/d7h9wYIF+Oqrr7B69Wps27YN5eXlmDx5MiwWS5vHR0TKlFFYAYtVRLBBh9hQg8sel72xiNTJ6WmsOXPm4IsvvsBDDz3U5iefNGkSJk2a1OQxBoMBcXFxDd5WUlKCFStW4KOPPsL48eMBAB9//DGSkpKwYcMGTJw4sc1jJCLlkep1usYEu3TLC2kay2S2wmi2wKBzTRsKIvIup4OdpUuXYvLkyfjxxx/Rp08f+Pn5Ody+bNkylw0OADZv3oyYmBiEh4dj1KhRePbZZxETEwMA2LNnD2pqajBhwgT5+ISEBKSmpmL79u2NBjtGoxFGo1H+ubS01KVjJiL3koKdbi5cdg44tp0orzbDEMxgh0gNnA52nnvuOaxbtw49e/YEgHoFyq40adIk3HTTTUhOTkZ6ejoef/xxjB07Fnv27IHBYEBeXh70ej0iIiIc7hcbG4u8vLxGH3fp0qV46qmnXDpWIvIcOdhxYb0OAGg1AoL0WlSYLCirNiMq2HVTZETkPU4HO8uWLcMHH3yAWbNmuWE4jm655Rb536mpqRg8eDCSk5Oxdu1aTJ8+vdH7iaLYZOD18MMPY+HChfLPpaWlSEpKcs2gicjtTrop2AFs/bEqTBYWKROpiNNVxgaDAVdccYU7xtKs+Ph4JCcn4+TJkwCAuLg4mEwmFBUVORyXn5+P2NjYRh/HYDAgNDTU4UJEvsFiFeUGoO4IdqS6nVIuPydSDaeDnQceeADLly93x1iaVVhYiKysLMTHxwMABg0aBD8/P6xfv14+Jjc3F4cPH8aIESO8MkYicq/soioYzVbodRokRQS4/PHlXZS5IotINZyextq5cyc2btyI7777Dr17965XoPzll1+2+LHKy8tx6tQp+ef09HTs378fkZGRiIyMxJIlS3DjjTciPj4eGRkZeOSRRxAdHY0bbrgBABAWFoY5c+Zg0aJFiIqKQmRkJBYvXow+ffrIq7OISF1OXSgDAHSJDoJO6/qON7X9sRjsEKmF08FOeHh4k/Uyzti9ezfGjBkj/yzV0cycORNvv/02Dh06hFWrVqG4uBjx8fEYM2YMPvvsM4SE1O6Y+uqrr0Kn0+Hmm29GVVUVxo0bh5UrV0Kr5SoKIjWqu+zcHUK5izKR6rQ42CkvL0dwcDDS0tJc9uSjR4+GKIqN3r5u3bpmH8Pf3x/Lly/32tQaEXmWu5adS7iLMpH6tDgHHB0djUmTJuHtt99GTk6OO8dERNQody07l7AZKJH6tDjYOX78OK699lr873//Q0pKCoYMGYJ//vOfOHjwoDvHR0QkE0XR7cFOsBTsMLNDpBotDnaSk5Mxf/58bNiwAfn5+Vi4cCGOHDmCq666CikpKXjggQewceNG9qQiIre5UGZEabUZGgFIiQ5yy3PUdj5nsEOkFq1ayhAWFoZbb70Vq1evRkFBAd59911YrVbMnj0bHTp0wH/+8x9Xj5OISM7qJEUGwt/PPYsQaqexWKBMpBZOr8aq9wA6HSZMmIAJEyZg+fLl2Lt3L7M7ROQWpy64tzgZAEIM3GeHSG2cDnYaq9ERBAH+/v7o3bs3DAb2kyEi15PrdWLdGOxwGotIdZwOdvr3799k3yk/Pz/ccsstePfdd+Hv79+mwRER1eXuZedAbYEyl54TqYfTNTtfffUVunfvjvfeew/79+/Hvn378N5776Fnz5745JNPsGLFCmzcuBGPPfaYO8ZLRO2Yu1diAbU1O+yNRaQeTmd2nn32Wbz++uuYOHGifF3fvn2RmJiIxx9/HDt37kRQUBAWLVqEl19+2aWDJaL2q7S6BvllRgDu2z0ZqNMby2iGKIpNZrKJyDc4ndk5dOgQkpOT612fnJyMQ4cOAbBNdeXm5rZ9dEREdlJWJzbUILd0cIcQg+2xRRGoMHGxBZEaOB3s9OrVC88//zxMJpN8XU1NDZ5//nn06tULAJCdnY3Y2FjXjZKI2r1T590/hQUA/n4a6DS2bA6XnxOpg9PTWG+++SamTJmCxMRE9O3bF4Ig4ODBg7BYLPjuu+8AAGfOnMG9997r8sESUfvliWXngG1labC/DsWVNbbl52FufToi8gCng50RI0YgIyMDH3/8MU6cOAFRFPHnP/8Zt912m9yN/Pbbb3f5QImoffNEcbIkxB7slHL5OZEqtGpTweDgYMydO9fVYyEialRtsBPi9ucKNvgBqOLycyKVaFWwk52djV9//RX5+fmwWq0Ot91///0uGRgRkaS6xoKsokoAnsvsAKzZIVILp4OdtLQ0zJ07F3q9HlFRUQ7LMgVBYLBDRC535kIFRBEIC/BDdLDe7c8XKgc7zOwQqYHTwc4TTzyBJ554Ag8//DA0mlb1ESUicopcnBwT7JF9b4LZH4tIVZyOViorKzFjxgwGOkTkMfml1QCAhPAAjzxfbX8sTmMRqYHTEcucOXPwxRdfuGMsREQNkqaTpFoad5P6Y5WxQJlIFZx+51i6dCkmT56MH3/8EX369IGfn+NOpsuWLXPZ4IiIgNqmnJ4KdkJYs0OkKk6/czz33HNYt24devbsCQD1CpSJiFxNmk5yZ5uIujiNRaQuTgc7y5YtwwcffIBZs2a5YThERPVJmR2pcNjdQgy1zUCJyPc5XbNjMBhwxRVXuGMsREQN8nTNDqexiNTF6WDngQcewPLly90xFiKiBklBh6cyO1x6TqQuTr9z7Ny5Exs3bsR3332H3r171ytQ/vLLL102OCIioLZ2JsTDNTvsjUWkDk4HO+Hh4Zg+fbo7xkJE1CDvTWOxQJlIDVrVLoKIyJO8tfTcaLbCZLZCr+MmqkS+jH/BRKRoZosVlSYLAM9NY9WtDeKKLCLfx2CHiBStwmiR/+2pAmWdVoMAPy0AFikTqQGDHSJStFJ73YxBp/HodJI0lVXKuh0in8dgh4gUrbY42TNTWJLIID0AoKDc6NHnJSLXczrYSU9Pd8c4iIga5OniZInUYT23pNqjz0tErud0sNOtWzeMGTMGH3/8Maqr+SZARO5Vu8eOZ4OduDB/AAx2iNTA6WDnwIEDGDBgABYtWoS4uDjcfffd2LlzpzvGRkTk8b5YkvhQW7CTV1Ll0eclItdzOthJTU3FsmXLkJ2djbS0NOTl5WHkyJHo3bs3li1bhgsXLrhjnETUTpV6eENBCTM7ROrR6gJlnU6HG264AZ9//jleeOEFnD59GosXL0ZiYiLuuOMO5ObmunKcRNROebpVhIQ1O0Tq0epgZ/fu3bj33nsRHx+PZcuWYfHixTh9+jQ2btyI7OxsTJ061ZXjJKJ2qtzDTUAlUmYnj8EOkc9z+t1j2bJlSEtLw/Hjx3Httddi1apVuPbaa6HR2OKmlJQUvPvuu+jVq5fLB0tE7Y+09DzU09NY9pqdcqMZZdU1Hs8sEZHrOP3u8fbbb+POO+/E7NmzERcX1+AxnTp1wooVK9o8OCIiuUDZw8FOkEGHUH8dSqvNyC2pZrBD5MOcfvdYv349OnXqJGdyJKIoIisrC506dYJer8fMmTNdNkgiar+8VbMD2Op2SvPKkFtSjR6xIR5/fiJyDadrdrp27YqCgoJ611+8eBEpKSkuGRQRkcRbq7GAunU7XH5O5MucDnZEUWzw+vLycvj7+7d5QEREdXmrQBkA4rn8nEgVWvzusXDhQgCAIAh44oknEBgYKN9msVjw+++/o3///i4fIBG1b2VG701jxYfZl58XM9gh8mUtDnb27dsHwJbZOXToEPR6vXybXq9Hv379sHjxYtePkIjatXIFTGPlljLYIfJlLX732LRpEwBg9uzZeP311xEaGuq2QRERAbYvV2VeDHbiWbNDpApOv3ukpaW5YxxERPVU11hhttrqBL0zjWXP7HAai8intSjYmT59OlauXInQ0FBMnz69yWO//PJLlwyMiEiq1xEEINBP6/Hnj7PX7JRxY0Ein9aiYCcsLAyCIMj/JiLyhLI6K7E0GsHjzx9s0CHEX4eyajPOl3JjQSJf1aJgp+7UFaexiMhT5OJkLyw7l8SH+aOsuhy5JdXoFsONBYl8kdP77FRVVaGyslL+OTMzE6+99hp++uknlw6MiKi2ONl7GZU4Lj8n8nlOBztTp07FqlWrAADFxcW4/PLL8corr2Dq1Kl4++23XT5AImq/yuU9dryX2UngxoJEPs/pYGfv3r248sorAQD//e9/ERcXh8zMTKxatQr/+te/XD5AImq/pFYRnm4CWpfcMqKUy8+JfJXTwU5lZSVCQmzz1j/99BOmT58OjUaDYcOGITMz0+UDJKL2SwnTWGwZQeT7nA52unXrhq+//hpZWVlYt24dJkyYAADIz8/nRoNE5FLe7IslYcsIIt/ndLDzxBNPYPHixejcuTOGDh2K4cOHA7BleQYMGODyARJR+1VWbavZCfXiNFZtZofTWES+yul3kD//+c8YOXIkcnNz0a9fP/n6cePG4YYbbnDp4IiofSs3ej+zI9XslFabUWE0I8iLYyGi1mnVX21cXBzi4uIcrrv88stdMiAiIok3+2JJQvz9EGzQodxotu+1E+y1sRBR6zg9jVVRUYHHH38cI0aMQLdu3dClSxeHizO2bt2K66+/HgkJCRAEAV9//bXD7aIoYsmSJUhISEBAQABGjx6NI0eOOBxjNBoxf/58REdHIygoCFOmTMG5c+ecPS0iUqDSamnpuXd3Lq5tCMq6HSJf5PTXpbvuugtbtmzB7bffjvj4eLmNRGtUVFSgX79+mD17Nm688cZ6t7/44otYtmwZVq5ciR49euCZZ57B1VdfjePHj8srwhYsWIBvv/0Wq1evRlRUFBYtWoTJkydjz5490Go930uHiFxHnsbyYmYHsE1lncwvZ90OkY9y+h3khx9+wNq1a3HFFVe0+cknTZqESZMmNXibKIp47bXX8Oijj8rNRz/88EPExsbik08+wd13342SkhKsWLECH330EcaPHw8A+Pjjj5GUlIQNGzZg4sSJbR4jEXmPEqaxAGZ2iHyd09NYERERiIyMdMdYHKSnpyMvL09e2g4ABoMBo0aNwvbt2wEAe/bsQU1NjcMxCQkJSE1NlY9piNFoRGlpqcOFiJSntjeWd6expJYROQx2iHyS08HOP//5TzzxxBMO/bHcIS8vDwAQGxvrcH1sbKx8W15eHvR6PSIiIho9piFLly5FWFiYfElKSnLx6InIFcqqvd8uAqhtGZHHaSwin+T0O8grr7yC06dPIzY2Fp07d4afn+M3rr1797pscADq1QSJothsnVBzxzz88MNYuHCh/HNpaSkDHiKFsVhFVJgsALwf7MRxF2Uin+b0O8i0adPcMIz6pKXteXl5iI+Pl6/Pz8+Xsz1xcXEwmUwoKipyyO7k5+djxIgRjT62wWCAwWBw08iJyBWk4mTA+wXK0i7KeaUMdoh8kdPvIE8++aQ7xlFPSkoK4uLisH79enlnZpPJhC1btuCFF14AAAwaNAh+fn5Yv349br75ZgBAbm4uDh8+jBdffNEj4yQi95CmsPQ6DQw6766sjA+3ZXaKK2tQZbIgQM+VnkS+pFVfl4qLi/Hf//4Xp0+fxt///ndERkZi7969iI2NRceOHVv8OOXl5Th16pT8c3p6Ovbv34/IyEh06tQJCxYswHPPPYfu3buje/fueO655xAYGIjbbrsNABAWFoY5c+Zg0aJFiIqKQmRkJBYvXow+ffrIq7OIyDdJmZ0QBexYHGLQIUivRYXJgtySKnTpwI0FiXyJ0+8iBw8exPjx4xEWFoaMjAz87W9/Q2RkJL766itkZmZi1apVLX6s3bt3Y8yYMfLPUh3NzJkzsXLlSjz44IOoqqrCvffei6KiIgwdOhQ//fSTvMcOALz66qvQ6XS4+eabUVVVhXHjxmHlypXcY4fIxyll2Tlgqx2MC/PH6QsVyCupZrBD5GMEURRFZ+4wfvx4DBw4EC+++CJCQkJw4MABdOnSBdu3b8dtt92GjIwMNw3VfUpLSxEWFoaSkhJ2bidSiI3HzuPOlbvRp2MYvp0/0tvDwV/f/x3bThXg5Zv64c+DEr09HCJCyz+/nV56vmvXLtx99931ru/YsWOTy72JiJwhZXa82QS0rnguPyfyWU4HO/7+/g1uwnf8+HF06NDBJYMiIlLSNBZQG+xw+TmR73E62Jk6dSqefvpp1NTYVkoIgoCzZ8/ioYcearC/FRFRayilL5ZE2kWZLSOIfI/Twc7LL7+MCxcuICYmBlVVVRg1ahS6deuGkJAQPPvss+4YIxG1Q9LS81AvdzyXSJkdtowg8j1Of2UKDQ3Ftm3bsHHjRuzduxdWqxUDBw7kUm8icqlypU1jhbNmh8hXtfpdZOzYsRg7dqwrx0JEJFNcgXKobRqrqLIG1TUW+PtxewsiX+HUNJbVasUHH3yAyZMnIzU1FX369MGUKVOwatUqOLmCnYioSaVyZkcZ01ihAToE2AMc1u0Q+ZYWBzuiKGLKlCm46667kJ2djT59+qB3797IzMzErFmzcMMNN7hznETUzpQbbTU7SilQFgRBnsrK4VQWkU9p8bvIypUrsXXrVvz8888Oux4DwMaNGzFt2jSsWrUKd9xxh8sHSUTtj9KWngO2IuUz9l2Uich3tDiz8+mnn+KRRx6pF+gAtvqdhx56CP/5z39cOjgiar+kpeehCgp24ux1O9xrh8i3tDjYOXjwIK655ppGb580aRIOHDjgkkEREdUWKCujZgeou7Egp7GIfEmLg52LFy8iNja20dtjY2NRVFTkkkERUfsmiqK8z46iprHk5efM7BD5khYHOxaLBTpd4286Wq0WZrPZJYMiovbNaLaixmJb4amUAmWALSOIfFWL30VEUcSsWbNgMBgavN1oNLpsUETUvklTWIIABOuVE+xINTvM7BD5lha/i8ycObPZY7gSi4hcQe6LpddBoxG8PJpaMaG2L3sXK02osVjhp3W64w4ReUGLg520tDR3joOISCbV6yhpCgsAIgL10GoEWKwiLlaYEBvq7+0hEVEL8GsJESmOEvfYAQCtRkBUkB4AcKGMU/dEvoLBDhEpjtL6YtUVHWybymKwQ+Q7GOwQkeLULjtXzh47kg4h9mCnnMEOka9gsENEiiMVKCttGguoE+wws0PkMxjsEJHiKLVmB2CwQ+SLGOwQkeIoehormNNYRL6GwQ4RKY68z44SC5SZ2SHyOQx2iEhxSpU8jWXP7BQws0PkMxjsEJHilMvBjgKnsZjZIfI5DHaISHHkHZQVOI0lBTtl1WZU11i8PBoiagkGO0SkONJqrFAFTmOF+uug19neOpndIfINDHaISHHkAmUFBjuCILBuh8jHMNghIsUpU3DNDsAVWUS+hsEOESmK1SoqegdlgHvtEPkaBjtEpCjlJrP8byUWKANckUXkaxjsEJGiSMvO9VoN/P20Xh5NwxjsEPkWBjtEpChSvY4Si5MlUrDDAmUi38Bgh4gUpbYvloKDnWA9AGZ2iHwFgx0iUpQyBffFksjTWMzsEPkEBjtEpChlCu6LJekQ7A/AltkRRdHLoyGi5jDYISJFUXJfLEl0iG0aq7rGKi+TJyLlYrBDRIoi1+woeBorUK+Tp9kKyk1eHg0RNYfBDhEpii9MYwFANIuU2438smq8uekUs3g+jMEOESmKkvti1cW9dtqPl9cdx0vrjuO9Lae9PRRqJQY7RKQopfLSc+XW7AB1g51qL4+E3G13RhEAYJf9v+R7GOwQkaKU+8g0FvtjtQ9FFSacKagAABw4VwyzxerlEVFrMNghIkWRd1BWcIEyUGcX5TIWKKvZ/qxi+d+VJgtOnC/33mCo1RjsEJGilBlt01ihCp/GimZmp13Ye7aoyZ/JNzDYISKvsFpFVJks9a4v94HeWAALlNuLfWeLAQCxobbXm8GOb2KwQ0ReseiLA+j71Do8891RlFTVyNf7ytJzBjvqZ7GK8jTWzBGdAQD77cEP+RYGO0TkFTvTL6LGIuL9bekY/dImrPotA2aLVe6N5SursQrKjbBa2TJCjU7ll6PcaEaQXotbBicBAM4UVKCognVavobBDhF5xUX7B0bH8AAUVdbgiW+OYOJrW2Ey21a7KL1AOSrIFuyYraJDZorUQ5qy6pcUjqhgA7p0CALgWLRMvoHBDhF5XJXJgqoaW73O2vtH4p/TUhEZpMfpCxXyMUoPdvQ6DcIDbdknFimr095MW7AzoFO47b9JEbbrWbfjcxjsEJHHXay0ZXX0Wg3CAvxw+7BkbFo8Gv/vqi7w0wroGRsCrUbw8iibJ++1w7odVdpnz+AM7GQLcgYmh9uuZ92Oz1H2VyciUqWL9uaZEUF+EARbUBMW4IdHrr0M947uCj+tb3wP6xBiwMn8cgY7KlRSWYNT+bY9dfonhQOozezszyqGxSr6REBONr7xjkJEqiJldiLtdS91hQfqEaTwKSxJ3SJlUpf954oBAJ2jAhFlz+D1jAtBoF6LcqNZDoTINzDYISKPu1hhCw4ig5S94qo5nMZSr9p6nQj5Oq1GQL/EcNvtrNvxKQx2iMjjLlbYVi81lNnxJdxrR71q63XCHa6X6nakYIh8A4MdIvI4ObMT6NuZHbaMUCerVcS+s/UzO0Bt3c4+Lj/3KQx2iMjjmNkhJTtTUI6yajMC/LToFRficJu0DP1UfjlKKrm/kq9gsENEHidndoL1Xh5J27BAWZ32ZhYDAPomhkF3ycrAqGADOkcFAqgtYiblY7BDRB4n7Z4cGaiOYKewwgSzxerl0ZAzKozmRne+3pfV8BSWRLrembodURRRyNYiXqPoYGfJkiUQBMHhEhcXJ98uiiKWLFmChIQEBAQEYPTo0Thy5IgXR0xELSEHO0G+HexEBOqh1QgQxdpzIuUzW6y45vWtuOrFTfgjt7Te7VJm59LiZIl0fUvrdg5nl2DGezsw6JkNWLEtvRUjprZSdLADAL1790Zubq58OXTokHzbiy++iGXLluGNN97Arl27EBcXh6uvvhplZWVeHDERNUctwY5WI8jnkM+6HZ9xOKcUWRerUFJVg9lpu5BTXCXfVlZdgxP5ts+Q5jI7+84WNZmpyS+txt+/OIDr39iG39MvAgDWHsp11WmQExQf7Oh0OsTFxcmXDh06ALBldV577TU8+uijmD59OlJTU/Hhhx+isrISn3zySZOPaTQaUVpa6nAhIs+wWEUUV0kFyr4d7AB19tph3Y7P2HGmUP53Xmk1ZqXtlKe0DmSVQBSBpMgAeZryUr3iQuDvp0FZtRlnCupvLlhlsuBfP5/E6Jc344s95yCKwLheMQCAIzklqLb3hSPPUXywc/LkSSQkJCAlJQUzZszAmTNnAADp6enIy8vDhAkT5GMNBgNGjRqF7du3N/mYS5cuRVhYmHxJSkpy6zkQUa3iShNE+5fhcB9feg7UKVJmZsdn/HbaFuzceUUKYkIMOHG+HHd/tBtGs6V2yXlSw1kdANBpNegrbS5on/ICbF/Cv9mfjXGvbMay9SdQabJgQKdwfHnvCLw/czCig/WosYg4ksMv2J6m6GBn6NChWLVqFdatW4d///vfyMvLw4gRI1BYWIi8vDwAQGxsrMN9YmNj5dsa8/DDD6OkpES+ZGVlue0ciMhRkb1VRFiAn8/0wGqKvPycmR2fUGOxYneGbUrpxkEdkTZ7CIINOuw4cxGLvziIPfZgp7F6HYnUHFTaSXlPZhFueGs7Hli9Hzkl1UgI88frM/rjy3tGYGCnCAiCgP5JtdNf5FmKbkAzadIk+d99+vTB8OHD0bVrV3z44YcYNmwYAMhNBCWiKNa77lIGgwEGg2/v70HkqwrL1VGvI+FeO77lUHYJKkwWhAX44bK4UGg0At7+60DMTtuFbw/kyMc1Vq9Te3s4AOC3M4WY/+k++b6Bei3uHd0Vd13ZBf5+Wof7DEwOx4Y/zrNruhf41NeqoKAg9OnTBydPnpRXZV2axcnPz6+X7SEi5SiqVFewE83+WD5FmsIamhIJjb1r+ZXdO+CFG/vKxxh0GlwWH9rk40jBTmZhJb49kANBAG4enIjNi0dj3tju9QIdoHZqjH21PM+ngh2j0Yg//vgD8fHxSElJQVxcHNavXy/fbjKZsGXLFowYMcKLoySiphSqZCWWhJkd3yIVJw/vGuVw/Y2DErF4Qg8AwNAuUdDrmv54jAnxR+8EW0A0rEskvp03Ei/+uR9iQv0bvU+/pDBoNQJyS6qRW1LV6HHkeoqexlq8eDGuv/56dOrUCfn5+XjmmWdQWlqKmTNnQhAELFiwAM899xy6d++O7t2747nnnkNgYCBuu+02bw+diBpxsVwdGwpKpNVY3EVZ+UxmK3Zn2LIqlwY7AHDfmG4Y3jUaKdFBLXq8tNlDkF9qRO+E0GbLJwAgUK9Dr7gQHMkpxb6zxYjvE+DcCVCrKTrYOXfuHG699VYUFBSgQ4cOGDZsGHbs2IHk5GQAwIMPPoiqqirce++9KCoqwtChQ/HTTz8hJCSkmUcmb1l/9DxC/HUY1qX+Gw21DxelaSwfbxUhYWbHdxzKLkZVjQURgX7oEVP/c0IQBAxKbrpWp66YEH/EhDSeyWnIgE7hOJJTir2ZRbi2T7xT96XWU3Sws3r16iZvFwQBS5YswZIlSzwzIGqTC2VG3P3RbgTqdTjw5ARoNc1/EyL1UUurCIkU7JRWm1FdY2mwVoOUQarXGdYlSq7X8bSBnSLw8Y6z7JruYT5Vs0O+LaOwAlYRKDeaOV/djqll92RJqL8OevsSek5lKdtvjdTreJK0yutQdglMZvZT8xQGO+Qx54oq5X+fLaxs4khSM7UFO4IgcCrLBxjNFuyxN+705jR656hARAT6wWS24mgDfbnIPRjskMdkXazN5mReZLDTXhWpLNgBgGhpF+VyNgNVqgNZJaiusSIqSI/uMcFeG4cgCK3qmk5tw2CHPKZuZieTmZ12SRRF1S09B+r0x2JmR7Hq1uu0ZOWUOznbNZ3ajsEOecy5otrMThYzO+1SVY0FRnudgqqCHU5jKZ60v84wL9brSJjZ8TwGO+QxdYOdzIsVXhwJeYvUKsKg0yBQr55VS1Kwk19W7eWRUEOqayxyz6vhCtj2ol9SOAQByC6uQn4pf2c8gcEOeYTFKiKnuE6wU1gJUWp9Te1G3eJkb08luFJ8mG2vlexirjJUov1ZxTCZregQYkDXDi3bMNCdgg069Iy17fOzl32yPILBDnlEXmk1zFYROvveFmXVZhRX1nh5VORpF1XWF0si7bibXsCMpRIpqV5HIk1l7cviVJYnMNghjzhnr9HpGBGA2FBbyp8rstqfiyrreC7pYg92si5Wcu8UBZL311HAFJZEaiS6L7PYq+NoLxjskEdk2et1EiMCkBxp+2A4y2Cn3VFbx3NJhxADgvRaWEUgq4i/10pSXWPBfvtU0bAukd4dTB0D7Zmdg9nFqLEwQHY3BjvkEdKy86SIQHSKCgQAnC1kyr+9kZadR6ikVYREEAR0lqayLvD3Wkn2ZhbBZLEiNtTQ4gafntAlOgih/jpU11hxLLfM28NRPQY75BHn6mR2OkXagh3utdP+SBsKRqksswOwbsdTRFHE57uysPl4fouOl5ecK6heBwA0GoF1Ox7EYIc8QtpXJzEiEMn2zA5rdtofeUNBlXQ8r0uq20lnxtKtfjychwf/dxBzP96DSpO52eN/OVUAQFn1OhKpbof77bgfgx3yiIYyO+yP1f6oreN5XZzGcr8qkwXPrP0DAFBdY8X2U4VNHl9YbsR++y7Fo3p2cPfwnDZQzuwUe3cg7QCDHXI7s8WKPPvGWUmRgUiOsn0o5JVWo7rG4s2h+ZzD2SXIK/HdTcjU2BdLwmks93t7y2mHvYx+Ptb0VNaWExcgisBl8aGIDwtw9/Cc1r+TbXPBzMJKFJRz9213YrBDbpdbUg2LVYReq0GHYAMiAv0QbNABcOyXRU07lleKKW9sww1v/YpyY/PpeyVSY18siRTs5JVWt2h6hZyTdbES72w5DQC4eXAiAGDz8fwmNyeVgqFxvWLcP8BWCPX3Q7cOtqakB88Ve3cwKsdgh9xOWorbMSIAGo0AQRBYpNwKX+7NhlW0BY9vbDzl7eE4zWyxoqTKtpGkGoOd8EA9IgL9AAAZBfy9drVn1h6FyWzF8C5ReHpqKgL8tMgtqcYfjaxkqrFYsfXEBQDAGIUGOwDQw76Tcjp/Z9yKwQ65Xd16HYlcpOwjwY7R7N3pNotVxJr9OfLPK7adwZkL5V4ckfOK7DtmC4ItMFAjTmW5xy8nL2DdkfPQagQ8NbU3/P20uKKbreB447HzDd5nT2YRyqrNiAzSo39SuAdH6xxuxeEZDHbI7WqDnUD5OvkP3AdWZG06lo8/PbEO72097bUx7Ey/iLzSaoT663Bl92jUWEQ8/d1Rn+ovJm0oGB7gB61GOUuAXSkl2jYlkV7gW4GokpnMVixZcwQAcMfwZDkTMrZXLABgYyN1O9L1o3t0UPTvm5zl9oH3Ql/GYIfc7py87LxOZsdHdlEWRRHL1p+AxSri2wO5XhvHN/uzAQDX9onHU1N6w08rYPPxC/j5j5btNaIEhSptFVFXSrTtg4tTEq7z4fYMnL5QgaggPRaM7yFfP6aXbXXVvqxieZVfXVKwo+QpLABI5upUj2CwQ24nZXaSIutkduSaHWWnbndlFOFQdgkA4I/cUlSZPD+dZTRb8P0hW6A1pX8CunQIxpyRXQAAT3931GdWtKm1VURdzOy4Vn5ZNV7/+SQA4B/X9EJYgJ98W3xYAC6LD4Uoot4Gg2cLK3EqvxxajYCreihvyXldUpY7q6gSFqvvZGp9DYMdcjtpxVVDNTtZRVWwKvgPfMW2M/K/zVZRDnw8afPxCyitNiM21IChKbY6hfljuyE21ICzFyuxYlu6x8fUGmpeiSVhzY5rvbLuBMqNZvRLDMOfByXWu11aZXXpVJZUxzM4OcIhQFKi+LAA+GkF1FhEeYsOcj0GO+RWJrMVufY/4LrBTnyYP3QaASazVbF/4GcLK/HTUdubZq84W53A3rOe3+lUKkye0i9Brj0IMujwyLWXAQDe2HgKOXX2HlEqtXY8r6uzfRqrqLIGxZX1p1bIOT/bg5Z/XNMLmgbqbqQpqi0nLjg009x43LYKa6zCp7AAQKsRkBThG5luX8Zgh9wqt6QKoggYdLY9diQ6rUYOfpS6IittezpEEbiqRwfcMKAjAGCfh4OdsuoabPjD9oY/tX9Hh9um9EvAkM4RqKqx4Lnv//DouFqjPUxjBep1iAv1B8DsTlsVV5pQYA+Q+9vbKlyqf1I4IoP0KKs2Y4+95UKF0Ywdp207K4+7TPnBDlA7xc+6HfdhsENuVXfZ+aVN+DrZd1LOUmCRcml1DT7flQUAmDMyRW7Yt/dssUdXQK07ch5GsxVdOwShd0Kow22CIGDJlN7QCMB3B3PlhodKpdaO55dqb1NZx/PKsPT7P1y+0eWpfFvdU8fwAATqdQ0eo9UIGG2vydlkn8r69VQBTBYrkiID0NW+YZ/SsV+g+zHYIbeqrdcJrHdbp0h7Zuei8j4UPtuZhQqTBd1jgnFV92j0TQyDTiPgQpnRYbt6d5NWYU3t37HBjs29E8Jw6+WdAADvbT1T73YlkTueq7AJaF2d21mw89z3f+DdrWew4hfX1o5JwU7XmKYDFmkqS9oteaO8a3KsorqcN4X9At2PwQ65VdZFaSVW/b400vJzpU1jmS1WrNyeAQC4c2QKBEGAv58Wf7JnVvaeLfbIOPLLqvGrvWPz1P4JjR43+4oUAMDWExcaXIKrFO0ls9OlHQU7Vqso17FtPO7abRCkYKdbM9mZq+z76JzKL8fZwkpsOu4bS87rkvoFKn0rDl/GYEdBfjtdiNM+tituc5rM7Ch0Y8F1R84ju7gKkUF6uVYHAAbYd2H1VN3O2oO5sIq2ugTpzbAh3WKCkdoxFGariLWHvLcXUHPkzE6QoZkjfVt7msY6faEcZdW26auD54pxocx1zSxPSsFOM5mdsAA/DE62TTO/sekkzpcaEeCnxdCUSJeNxd1qd5RX/++MtzDYUYj0ggrc9v4OTH9ru6K/nTuroVYREqW2jJCWm/9laCf4+2nl6wcm19bteMLX9lVY05rI6kim9rMFZWvs015KI4qi/HsdqfJprJQOtcGOL+1w3Rp1Vyc2tN9NW5xqYbAD1BYif777HABgZPdoh79dpZNWY5VWm7mKz00Y7CjEgaxiiCJQUlWDl3867u3huIzUBDSpgcyOdF1JVQ1K7H2TvG3f2SLsPVsMP62A24clO9w2IMkW7BzNKXH7Rn4ZBRU4kFUMrUbAdX2bD3au75cAQbBtgqjETvLlRjNM9qXBkSqfxkqKCIRGACpNFpdmOpRonz3wD9TbAotNLgp2Kk1muTauJcHOpUvMfWHJeV0Bei1iQmwZT6V9+VMLBjsKcSyvtnPvpzvP4rAXNq9zNaPZgvOltjf7hjI7QQYdou3L0ZUylSVt0Hd9vwTE2JcQS5IiAxAdrEeNRcSRHPe+Pt/YszpXdItGh5Dmp33iwvwxzL7h4JoDOc0c7XlFFbZgNsBPiwC973zjbg29TiMvJT6j8qksKbMz+4rOAICtJwpgMlubuEfLnLlg+/8WGaRv0VYFXTsEO9QFjunpW8EOwBVZ7sZgRyGO5ZUCAEL9dRBF4Mk1R3w+BZ5TbNssMMBP2+gbVu0fuPc/FNILKvDD4TwAtuXmlxIEAf3t2Z19bpzKslpFfC2twurXfFZHIhUx1+2OrhSFFbagV8177NTVHup2Sqtr5LqamSM6IzpYj3KjGbszLrb5sZ2ZwgJsf5vj7I1BeyeEIi7Mv5l7KE+nSOVuxaEGDHYU4rg9s/PsDX0QqNdiT2aR/IHnq6TplKTI+nvsSJIjlVO38/S3R2CxihjdswN6J4Q1eMzA5HAA7t1JecuJC0gvqECIQYeJqXEtvt+k1HjotRocyyuTg2elaA8bCtbV2V5QnqHiYEeaek+KDEBMiD9G92y4dUNrOBvsAMCsEZ0xsFM4HhjXvc3P7w0sUnYvBjsKUFJZg9wSWxbkqh4dcN+YbgCApd8fc/lGXZ4kLTtvaCWWRF6R5eVgZ+Ox89h0/AJ0GgGPT/5To8cN8EBm5317gfSMy5MQbGh4M7WGhAX6YXRP2wZr3ygsuyN1PI9oJ8FOF3uRspqnsaS/gYH2DTfHNtKnqjVauuy8rs7RQfjy3iswoXfLvyAoSScFffFTIwY7CnD8vC2rkxDmj7AAP9x1ZQo6RwUiv8yI5faOv95WWl2D6W/9illpO3E0p2VZg4YagF5K3kzLi6lbo9mCp789CsC2r05Tu672SwqDRgByS6qRW+L6zQX/yC3Fr6cKoRFsUwPOmjZAWpWVo6gGq1JmJ6qdBDvtYRpLym5KWzJc2T0aOo2AMwUVbc5onbrgfGbH17VlK441B3Iw+qVNOJBV7OJRqQeDHQU4bp9y6BVv27TOoNPiiett2YUPfk1XxN47m49fwN6zxdh8/AKuW/4L/vHfg8gva7qBp7TsvKGVWJJkBey18/4v6cgorESHEAPmj+3W5LGBeh16xdleJ3dkdz6wF0hPSo1vMiPWmLG9YhBs0CG7uAp7vNC0tDHtoeN5XdI01tnCSlgUFHS6iiiKtZkd+5YMIf5+uNy+t01bsjs1FqscLLWnYEea0s8rrXZ6tefHv2Uio7BSVSt5XY3BjgL8Ya/X6WnvrA0AY3vFYkzPDqixiHjq26NeL1bea2+yFxNigCgCn+3OwpiXNuPNTaca/cPMalFmx/ahkFNSBaPZvcu5G5JbUoU3Np4CADw8qRdC/P2avY9ct5Pp2mDiQplRnn66s4EC6Zbw99PiGnudz9f7lFPzVdTOgp2E8ADodRqYLFaf6EjvrDMFFSipqoFBp5GDf8A1U1mZhRUwW0UE6bWI98FC49aKDNIj2GBboCJ9UWyJGosVB7OLAQC/nCxQXL2eUjDYUQCpOLlXnWAHAJ64vjf0Wg22nriAW97dgb+873iZ/+k+j21AJe0a/Oh1l+G/c4ejX2IYKkwWvLTuOMa9skXuOFxX7YaCjWcoooP1CNRrnf4Dd5Wl3x9DVY0FAzuFO+yW3BSpRmGfi1PGH+/IhMliRf+kcAyyf1tuDWlV1tpDuS5ZBuwKF9tZsKPVCOgc1fDyc6tVxCs/Hcebm055Y2guIWV1+iaGQa+r/RiRgp3f0wtbXW9YtyeWr/S2cgVBEOpM67d8GvCP3FJU19T+nUvZYXLEYMfLRFHEiQYyO4Bt3v+uK23f8HdmXMSvpwodLt8eyMELPx5z+xirayw4Yq/TGdgpAoM7R+Kre6/Aq7f0Q1yoP7KLq3Dnyl3ym5R0H2lDtYb6Ykkc/sA9XJj3+5lCrDmQA0EAnp6a2uI3VqkD+qHsEpcFE9U1Fny8IxNAw8venTG8SxSigw0orqzBLycvuGJ4bdZe+mLVJU1lpV8yDf3M2j+wfOMpvLTuuM8uM5brdTo5BuVdOgSjc1Qgaiwitp0saNVjt6Y4WS1aU6QsBZ5SFuzr/TkoKFf3ZpatwWDHy7KLq1BmNEOnEdAluv4f98Kre+DfdwzG6zP6O1yesK8YWr0rCwfPFbt1jIezS2C2iogONshTUhqNgBsGJOLnRaMwoFM4SqpqMPODncgvtdXxSFmaYIMOYQFNTw3V/oF7rpjTbLHiyTVHAAAzhnRCaseGl5o3pHNUICIC/WAyW122ueCa/TkorDAhIcwfk5xYbt4QnVaD6/vFA1DOqqz20vG8LqltREadD673fzmDD36t/ea940yhx8flCrUrscLr3TbWvt/NxmPnW/XYLe12rkataaEjBZ4zhnRCv6RwmMxW+YsT1WKw42XSFFa3mGCHdLBEp9Xg6j/FYmr/jg6XO0emYFr/BIgisGTNEbeuvJHe2AZ0Cq+X/Qgy6LBi5hCkRAchu7gKs1fuQrnR7LASq7mMSW2RsuemsT7ZeRbH8soQFuCHv0/s6dR9BUGQv9G6okhZFEX5A3DmiM7Qadv+Zzm1v21Kbv3R8y2a6iyprMH7v5zBsvUn6l3e/+VMm9tjtMfMjtT9XJrG+u5gDp5Z+4fDbb/5YLBTbjTLiyouzewAtVNZm45fqPe+VGky4797zuFUflm9+0mklVjd22GwI63IcibjV1soHi5nhT/eken2lja+puWbeJBbHGtkCqslHr72Mvx09Dz2ni3GV/uyceOgRFcPD0DtN4eBDbyxAbY6jJWzh2D6W9txJKcU9/5nL8ba93tpqjhZ0tn+xu/uFgySfWeL8Nz3tg+dRRN6tKqOZGCncGw8lo+9Z4twJ9o27fTrqUIcyytDoF6LGZd3atNjSfolhiElOgjpBRUYv2wLFk3oiZsHJ0GrcQw8ayy2b4Gv/3wSxU30J7OKIv7fVV1bNZYai1XujN1elp4DdaaxCsrx+5lCLPzsAADb5nfjLovB7St2YsfpQoii6FO1KQfPFcMqAh3DAxAbWr+A+PKUSATptbhQZsThnBL0TQyH1Sriq33ZeHHdMZwvNaJTZCA2Lx4NzSW/j1ariNP57W8lliTZvmCjpS0jCsqNOHuxEoIA9EsKR4Cfrag7t6Qaaw7k4ObBSe4crk9hZsfL2hLsxIb6Y/5Y226hS384hrJq9zTTrJvZaUxyVBA+mDUEAX5abD1xAa/8dAJA08XJklE9bIHRzoyLyCtpejl7W2UUVGDOh7tRXWPF6J4dcFsrgwtXZnakLus3DUpsdsqvpQRBwLKb+yElOggF5SY8/OUhXPevX+Q6ClEU8fMf5zHxta146tujKK6sQc/YENwxPNnhcpX9tdlwtPWra6QpLI0Al52fL5CmsbKLqvC3VbthslgxsXcsHp/8JwxKjoCfVkBOSbW8+aavkH7n+zfyfqDXaXBld9vvzcZj+diZfhFT3/wVi744IPfKO3uxssFdyHNKqlBVY4Feq5Gnt9uTultxtCRbL70W3WOCEervBz+tRt6f64Nt6V5fxaskDHa8TN5jpxXBDgDcObKz/QPNiH+5YQPCnOIq5JVWQ6sR0Dex6bqWfknheOO2AdAIQJl9JUZLMjuJEYEY0jkComhL9btLYbkRM9N24mKFCX06huHN2wa2esqoX1I4BMFWcyXVKbXGqfxybDp+AYIAzL6ibRmiSw3oFIF1C67C45P/hFB/HY7lleGvK37HnJW7cPuKnZjz4W6cuVCBqCA9nr0hFWvvH4mnp6Y6XJ6dlgoA2HO2qNWd6S9W1k5hXfpNXs06BBsQbNDBKgKl1WYMSo7A6zMGQKsREKjXoV9iOADgtzOtK+T1ln3NZHqB2qmsd7ecwc3v/oZD2SUINujw0KReuN7e762hdjhSvU7n6ECXTOf6mvgwf+g0AkxmK843s48ZUHdjx9rX4tYhnRDgp8WxvDJsP62MadJD50qw6Vg+aizeWx3a/n6bFMRktsrdfevuVeGMuhsQpv2a4bAiyhWkbw694kIQqG9+1nPcZbF4Zlof+eeWbow3xV5j4q5+YJUmM+78cDcyCyuRFBmAD2YNQZATrRguFWzQoWesLUBdvSur1Y/z9ubTAIBxvWLl6TxX0us0mDMyBVv+PgazRnSGViPg52P52HaqAHqtBnNHdcWmv4/GX4YmN/jhkhQZiB6xwbBYRWxp5cqui+Xta9m5RBAEeSflLtFBeP+OwfD3q+34PryrrUv9bwr5QGoJURSxtwWZ3tG9bJmdqhoLNAJw29BO2Pz30Zg7qitusk+3rz2YW+/DrzU9sdREp9Wgo/0LYkuKlKW9vqS9vwBb25ibBtv+H7//yxnXD7IV3t16GrNX7pIz/t7AYMeLTl8oh9kqIsRf16bNs8b0jMG4XjEwW0U89a1ru6U3V6/TkNuGdsLTU3tjYu9YeYqqOdf1iYdOI+BwdqnLAzazxYr5n+zDgaxihAf6YeXsy9EhxNDmx5XSxcvWn8A3rQjS9p4twv/2ngMA3DemdfUwLRURpMeSKb2xbsFVmNw3HtMHdMSGhaPw0KReCG1mI8Ux0kZxf7RudY2c2WlnwQ4A3Du6K67+Uyw+vPPyeuc/vIst2Nlx5qLPTDecvViJixUm6LUa9E5o/AtaTIg/HrymJ6b1T8D3D1yJ527og+hg29/ciK5RiA7Wo6iBrRHa87JzSUtb6JgtVhw8Z6tzvLRQfPYVKRAEW5G4q99PnVVuNGOD/b3j2j7e61vGYMeLjtWZwmprgeLjk/8EvVaDX04W4KejrftQasg+eT+NcKfud8fwznj39sEI0GubPxi2b/1SfciaA66byhJFEU+sOYKfj+XDoNNgxczBTfa+csatl3fCXfbVD4u/OIDtp1s+HWG1ilhiX/p+48DEBle1uEO3mGC8cdtALLulv7zyoznj7EuJt5y40KrWB9KGgu2pOFkyqU88/n3HYCQ1UH8yMDkCeq0GeaXVDsvTlUz68tO7YygMuqb/tu8d3Q2vzRhQL2ut02owua9tKuvSrRHa87JzSXILmyMfyytDVY0FIQZdveAwJToI4+xfUtJ+9e4mgz8dyUN1jRUp0UHo48QWH67GYMeL2lKcfKnO0UH421W2D95n1h51ydyo0WzB4ezazQTdTdr595v92S77prt6VxY++f0sBAF4fUZ/DEqOdMnjSh659jJc1zceNRYRd6/a0+Kt2r/Yk4WD52x1DP+Y5NzSd08b2CkcYQF+KKqswf4s51pk5JZUYd2RPADtM7PTFH8/rVzk6yv77ezNLAbQ9vcD6W/9pyPnUWGv7xNFsV02AL1US1dkSTu49+8U3mAtnNRy5r97zuGj3zJg9lK9jBTQTu2f4NVVhwx2vOi4HOy0rl7nUveN6YboYAOyLlbh+0O5bX68ozmlMFmsiAzSy9823OnqP8UiwE+LzMJKHDjX9mXoFqsob8n/94k9cU1qfJsf81IajYBXbuqHy1MiUWY0Y9YHu5rthl5SVYMXf7Q17FswvjtiQpTd/0en1chZt5//aNmqrEqTGa+uP4ExL2/Gr6dsH+TStA3VGtbFt+p29mW1LtN7qf5J4UiOCkRVjUWe4iisMKG4sgaCAJdlX31RkryjfNObrO7LbHgXa8nwLlG4sns0jGYrHv/mCCa9/gs2H2/9qsrWKCg3YtspW8Zb2vvLWxjseJEU7FzmgswOYOvIffuwZACuWXYoFyIm1d9M0B0C9TpM6G2bMnFFE8ufjuThXFEVIoP0uNPFK53q8vfT4t+3D0a3mGDklVZj1ge7UNrENgCvrj+BwgoTusUEy3U/SjeuhQ0erVYR/9tzDmNf3oLXfz6J6horBidH4Ov7rpBX4VAtKQD87Uyh4ut2Kk1m/JFre89qa2ZHEARMlVZl2f/WpSmspIhAh0Lu9kbeRbmFmZ2GdrEGbP+PP5g1BE9P7Y2IQD+czC/HrLRdmPnBTpw83/imjq609mAuLFZR3vfLmxjseElJZQ1y7XvK9HBRsAMAfxnWCXqdBgfOlTTYnNMZe1tZr9MW0+zR/3cHc9ucdl1hb4j3l6Gd3P7mGRboh5WzhyAmxIDj58swO20XTl+oXxh4PK8MH9m3cn/y+j/Bz0eW147q0QEawTb12lgX79LqGvz5ne1Y9MUB5JVWIzEiAG/cNgBfzB2O/knhnh2wjxjQKRx6nQYXyoz1GoYqzd7MYlisImJDDS7pRi6twNx6sgCF5cZ2vxJLIhUoF1fWoKSq4S9NFytMSLf/vtRddn4pP60GdwzvjM2Lx+CukSnw0wrYcuICrnn9Fyxbf6JFAfZHv2Xgno/34HwrttiQVtdO8XJWB2Cw4zVSbUfH8IBmV8M4IzrYgBvsv1gr2tj9dr/c/8YzxbMAMLJ7NCIC/VBQbmzTHhH7s4qxO7MIflpBzna5W2JEINJmD0GwQYc9mUWY+OpWPPXtEbldgyjaipItVhETe8fKG6/5goggvZwubyy7s+ynE9h7thjBBh0evKYnNiwchcl9vTtPr3T+flr5m7mSp7Lyy6rxj/8dBABc0S3aJa9pt5hgpHYMhcUq4vtDuQx27IIMOnnlWmNtI6Taua4dghAW2PznR1igHx6b/Cf89H+jMLF3LCxWEf/6+WSznxH/+T0Tj39zBD8czsOstF1ObVx7trAS+84WQyMA1/d1fQmBsxjseMnx864rTr6UVJi27kheq7sqny+tRnZxFTQC0NeD38r9tBpc17ftTSylP+Lr+yUgpoEt7d2ld0IY1sy7Qt4KIO3XDIx6aTPSfk3HmgM5+O1MIQw6DR677k8eG5OryD2PGgh26mas3vnrINw7ulu7nopwxvAu0QCU2yer3GjGnSt3Ibu4CinRQS793Z3az/bF7Jv9OXImtD0vO5c01xBUKhR3dhVnSnQQ3r19MB6e1AsA8MzaP/BtI6tff/7jPB7/+jAA235df+SW4p6P98JkblnGfc0BW1ZnRNdoj74HN4bBjpe4ciXWpXrGheDK7tGwiraNBltDWnLeIzYEwW3YfK81pKmsdUfyWtXMLqe4tkBbaoznSV06BGPFrCH4aM7l6BkbgpKqGjz17VE8sHo/AGDuqK4NLkVWOinY+fV0gcPrIooinlxzGBariGt6x2Fk92hvDdEnDetiWyH4eyN1OxkFFXhr8ykUlhtb/Rz5ZdV4ad0xPP714XqXV9efQEEjj11jseLe/+zF4exSRNl74Llyc8jr+yVAEIDdmUXyBqbtedm5RJrKyrzY8NRma/Y/q+v/XdUFs+z1gos+P1BvNeD+rGLM+2QfrKKtjc1/5w5HoF6LbacK8NCXB5ud/hJFEV/XWYWlBAx2vEQqTm5tm4jmSNmdz3dntapn1l65k67nprAkAztFoGN4AMqN5hav/qnrw98yYLGKGNYlEr0TvLevw5XdO2Dt/SPx7A2p8h4zHcMDcM9o924g6C694kIQH+aP6hqrw5TL2kO52HHmIgw6DR697jIvjtA39e8UDoNOg4JyU70N4LKLq3Dzu7/hxR+PY2baTnmZtjNKqmrw1/d/x5ubTuOjHZn1Lq//fBKjX9qMtzefrhfEPvLlIWw9cQEBflp8MGsIkqNcW2QaF+aPYSm2Iu1y+7m192ksoM7Ggg1kdixWEQfsxcmtracUBAGPT/4TJvaOhclixf9btRsn7LMNmYUVmLNyF6pqLLiqRwc8N70P+iaG483bBkKrEfDl3mwsW9/0TshHc22bw+p1GkxM9d5GgnUx2PECURTrBDuuWXZ+qVHdO6BrhyCUG834rBXtDOTNBL1QWKrRCA577jijwmjGp7+fBQDMGdnF5WNzlk6rwV+GJmPz30fjuRv64OO7hvrs9I4gCHJ2R6rbqTSZ8exaWwf5e0b7ZsbK2ww6LQZ3tn2pqDuVVVJZg1kf7ER+mS3rcji7FPf+Z69Te2gZzRbc/dFunDhfjpgQA+4f2w33j+teexnbDX06hqHcaMYLPx7D+GVbsPZgLkRRxGsbTuKLPeegEYA3bhuAfm56L5g2oPabf4cQQ7tqFtuYug1BL3XifBkqTBYE6bXoEdv6L8tajYDXZwzAoOQIlFabMeuDnfgjtxQzP9iJwgoTeieE4q2/DJQXUYzpFSP3ylu+8RQ+sb/PNkQqQRjXK8alNaltwWDHjbKLq/DmplP1pmLOFVWh3GiGn1ZAlw7uWY6n0Qhydmfl9gyndr41mWu3IfdGZgeo3ZNh8/ELTjWg/N/ecyitNqNzVKC8XFoJQvz9cNvQTl5fftlWdYMdURTx1qbTyC2xrbyaO8o3M1ZKIGU3pOkEo9mC//fRbpzML0dsqAFv/2Ug/P002HLiAh776nCLVtFYrSIWf3EQO85cRLBBh7TZQ7BwQk8svLpH7WVCT3xz3xV45aZ+iA014FxRFe77ZC+uee0XvG5vLPzPaakYd1ms2879mtR46O0fqKzXsWmqZkea7uuXFA5tGxvr+vtp8f4dg9ElOgg5JdW47l+/IKOwEh3DA5A2a0i9EoYZl3fC/eO6AwAe+/oQNjSwW7/VKmKNPIXl/VVYEtUEO2+99RZSUlLg7++PQYMG4ZdffvH2kPDij8fw0rrjGPfKFqw5kCO/QUlZna4dgt269Hj6gESEB/rhXFEVfrLvYtsSx/JKYTRbERbghxQXp61bqmdcCHrFhcBksWL6279i47Hzzb7BW+0FwYCtN0x76rDtKSO6RsOg0yC7uAob/sjHe1ttjQYfu+5PPpuxUgKpKeiOMxdhsQcpv6fbgpSVsy/HpD7xWH7rQGgE4LPdWfjXz6eafcwX1h3DtwdyoNMIePuvAxud0tVoBNw4KBGbFo/GgvHdEeCnlRdQzBvTDX8Z6t7VjGEBfhhjbxzaPZbBDgB5ujC7uArzP92Hc0W1QU9b63UuFRGkx4d3Xo7oYD2sou31+PDOIY0WFf/f+O7486BEWEXgbx/txqLPDyCvpHZZ+u/pF5FXWo0Qfx1G91TOilNVBDufffYZFixYgEcffRT79u3DlVdeiUmTJuHs2cbTbJ4wtlcM4sP8kV1chfs/3Yfpb2/H3rNFbl2JVVeAXou/DO0EwLll6Hsza/fX8WbA8OT1vREVpMfpCxW4c+Vu3L5iZ5PtGDYey0d6QQVC/XX4s72zMrlWgF6LEfYP5vs/3QeTxYqR3aIxsbf7vvm3B30TwxHgp8XFChPu/c8eOUh59/ZBuCzeNtV99Z9i8fRU2zTCqxtO4PMmpqc/3J6Bd7fYAtEXbuzbom0OAvU6LBjfA5sWj8asEZ2x8OoeWDShhwvOrnkPT7oMNw5MxF0KmHpWguhgA+aN6QZBAL49kINxr2zBS+uOodxobnW/wqYkRQbiozlD8edBiVh15+XoFtP4Z5MgCFg6vQ9uHpwIUbRl08e8vBmvbTiBKpNFXoV1bWq8or4ACaLSt+1sgaFDh2LgwIF4++235esuu+wyTJs2DUuXLm32/qWlpQgLC0NJSQlCQ11bQ1NlsuD9X87g7S2nUWmyTWeFB/qhuLIG/7iml9uLVc+XVmPkCxtRYxGxcvaQFhX/PfPdH/jxSB7+b3wPPDC+u1vH15zS6hq8uekU0rZlwGSxQiMAtwzphDkjU+Dv5xirL/r8AH5Pv4i7R3XBw5NYKOsuH/2Wgce/sTUx1WkE/LjgyibfHKllbl/xO345WdtMdtnN/TB9YP2g/cUfj+Gtzaeh1Qh449YB6JPomLHZnVGE//t8P0QRWDyhB+aN9e7fMLXe4ewSPLP2KHacuQjAFgRJK+f2Pn61S1fGtcb+rGL887uj8ga2caH+qDCaUWY045O7hmJEN/evzGzp57fPBzsmkwmBgYH44osvcMMNN8jXP/DAA9i/fz+2bNlS7z5GoxFGY+1Sy9LSUiQlJbkl2JGcL63Gy+uO4797z0H6P542awjGeKCuZOFn+/FlK9ovfDTncsVsfHe2sBLP//gHvj/U9HScViPglwfHICE8wEMja3/OFVVi5AubAAB3jUzBY5N9b88gJXpz0ym8tM7WM+3vE3vivjHdGjxOFEUs/PwAvmrmb/q2oZ3w7LRUburo40RRxPqj5/Hc938gw17DkxIdhE2LR3t3YHaiKGLtoVws/f4Ysu27q8eGGrD9oXFtrilqiZYGO57dQMUNCgoKYLFYEBvrmEaPjY1FXl7DH4xLly7FU0895Ynh1Y4n1B8v3dQPM0d0xgs/HsOFMiOGpLi2A3dj7h3TDb+dKcTFClOL79MzLgRDOntmfC3RKSoQb/1lEHamX8QLPx7D4ez6jUI1goCZIzoz0HGzxIhA/HlQIjIKKnC/lzN/ajKlXwK+2J2Fa1LjcW8TGV9BEPDCjX1hFUX8eLj+e5wg2B7r6Sm9GeiogCAImNA7DqN7xmDVbxlYvStLUT31BEHA5L4JGH9ZLD74NR1f7D6Hu6/q4pFAxxk+n9nJyclBx44dsX37dgwfPly+/tlnn8VHH32EY8eO1buPNzI7RERE5FrtJrMTHR0NrVZbL4uTn59fL9sjMRgMMBgMnhgeEREReZnPr8bS6/UYNGgQ1q9f73D9+vXrMWLECC+NioiIiJTC5zM7ALBw4ULcfvvtGDx4MIYPH4733nsPZ8+exdy5c709NCIiIvIyVQQ7t9xyCwoLC/H0008jNzcXqamp+P7775Gc7N7NsIiIiEj5fL5A2RXcuc8OERERuUdLP799vmaHiIiIqCkMdoiIiEjVGOwQERGRqjHYISIiIlVjsENERESqxmCHiIiIVI3BDhEREakagx0iIiJSNQY7REREpGqqaBfRVtIm0qWlpV4eCREREbWU9LndXDMIBjsAysrKAABJSUleHgkRERE5q6ysDGFhYY3ezt5YAKxWK3JychASEgJBENr8eKWlpUhKSkJWVpZqe23xHNWB56gOPEd14Dk6TxRFlJWVISEhARpN45U5zOwA0Gg0SExMdPnjhoaGqvYXVsJzVAeeozrwHNWB5+icpjI6EhYoExERkaox2CEiIiJVY7DjBgaDAU8++SQMBoO3h+I2PEd14DmqA89RHXiO7sMCZSIiIlI1ZnaIiIhI1RjsEBERkaox2CEiIiJVY7BDREREqsZgp5UyMjIwZ84cpKSkICAgAF27dsWTTz4Jk8nkcNzZs2dx/fXXIygoCNHR0bj//vvrHXPo0CGMGjUKAQEB6NixI55++ulm+3x4yrPPPosRI0YgMDAQ4eHhDR4jCEK9yzvvvONwjK+fo6+/jg3p3LlzvdftoYcecjimJeetZG+99RZSUlLg7++PQYMG4ZdffvH2kFptyZIl9V6vuLg4+XZRFLFkyRIkJCQgICAAo0ePxpEjR7w44uZt3boV119/PRISEiAIAr7++muH21tyTkajEfPnz0d0dDSCgoIwZcoUnDt3zoNn0bTmznHWrFn1Xtdhw4Y5HKP0c1y6dCmGDBmCkJAQxMTEYNq0aTh+/LjDMd5+LRnstNKxY8dgtVrx7rvv4siRI3j11Vfxzjvv4JFHHpGPsVgsuO6661BRUYFt27Zh9erV+N///odFixbJx5SWluLqq69GQkICdu3aheXLl+Pll1/GsmXLvHFa9ZhMJtx000245557mjwuLS0Nubm58mXmzJnybb5+jmp4HRvz9NNPO7xujz32mHxbS85byT777DMsWLAAjz76KPbt24crr7wSkyZNwtmzZ709tFbr3bu3w+t16NAh+bYXX3wRy5YtwxtvvIFdu3YhLi4OV199tdz7T4kqKirQr18/vPHGGw3e3pJzWrBgAb766iusXr0a27ZtQ3l5OSZPngyLxeKp02hSc+cIANdcc43D6/r999873K70c9yyZQvuu+8+7NixA+vXr4fZbMaECRNQUVEhH+P111Ikl3nxxRfFlJQU+efvv/9e1Gg0YnZ2tnzdp59+KhoMBrGkpEQURVF86623xLCwMLG6ulo+ZunSpWJCQoJotVo9N/hmpKWliWFhYQ3eBkD86quvGr2vr5+jml7HupKTk8VXX3210dtbct5Kdvnll4tz5851uK5Xr17iQw895KURtc2TTz4p9uvXr8HbrFarGBcXJz7//PPyddXV1WJYWJj4zjvveGiEbXPp+0hLzqm4uFj08/MTV69eLR+TnZ0tajQa8ccff/TY2FuqoffKmTNnilOnTm30Pr52jqIoivn5+SIAccuWLaIoKuO1ZGbHhUpKShAZGSn//NtvvyE1NRUJCQnydRMnToTRaMSePXvkY0aNGuWwwdLEiRORk5ODjIwMj429rebNm4fo6GgMGTIE77zzDqxWq3ybr5+jml/HF154AVFRUejfvz+effZZhymqlpy3UplMJuzZswcTJkxwuH7ChAnYvn27l0bVdidPnkRCQgJSUlIwY8YMnDlzBgCQnp6OvLw8h/M1GAwYNWqUz55vS85pz549qKmpcTgmISEBqampPnXemzdvRkxMDHr06IG//e1vyM/Pl2/zxXMsKSkBAPnzUAmvJRuBusjp06exfPlyvPLKK/J1eXl5iI2NdTguIiICer0eeXl58jGdO3d2OEa6T15eHlJSUtw7cBf45z//iXHjxiEgIAA///wzFi1ahIKCAnlKxNfPUa2v4wMPPICBAwciIiICO3fuxMMPP4z09HS8//77AFp23kpVUFAAi8VSb/yxsbGKH3tjhg4dilWrVqFHjx44f/48nnnmGYwYMQJHjhyRz6mh883MzPTGcNusJeeUl5cHvV6PiIiIesf4yus8adIk3HTTTUhOTkZ6ejoef/xxjB07Fnv27IHBYPC5cxRFEQsXLsTIkSORmpoKQBmvJTM7l2ioCPDSy+7dux3uk5OTg2uuuQY33XQT7rrrLofbBEGo9xyiKDpcf+kxor2otaH7ukJrzrEpjz32GIYPH47+/ftj0aJFePrpp/HSSy85HOPr56jE17Ehzpz3//3f/2HUqFHo27cv7rrrLrzzzjtYsWIFCgsLGz0noP55K1lDr4mvjP1SkyZNwo033og+ffpg/PjxWLt2LQDgww8/lI9R0/lKWnNOvnTet9xyC6677jqkpqbi+uuvxw8//IATJ07Ir29jlHqO8+bNw8GDB/Hpp5/Wu82bryUzO5eYN28eZsyY0eQxdb/B5+TkYMyYMRg+fDjee+89h+Pi4uLw+++/O1xXVFSEmpoaOcKNi4urF7VKKcxLo2BXcfYcnTVs2DCUlpbi/PnziI2N9flzVOrr2JC2nLe0AuTUqVOIiopq0XkrVXR0NLRabYOvidLH3lJBQUHo06cPTp48iWnTpgGwfTuOj4+Xj/Hl85VWmjV1TnFxcTCZTCgqKnLICOTn52PEiBGeHbCLxMfHIzk5GSdPngTgW+c4f/58rFmzBlu3bkViYqJ8vSJeyzZX/bRj586dE7t37y7OmDFDNJvN9W6XCjxzcnLk61avXl2vsDU8PFw0Go3yMc8//7ziClubKlC+1PLly0V/f3+5WNfXz1FNr2NTvv32WxGAmJmZKYpiy85byS6//HLxnnvucbjusssu89kC5UtVV1eLHTt2FJ966im5APSFF16QbzcajaooUG7qnKSi1s8++0w+JicnR7HFu5eeY0MKCgpEg8Egfvjhh6Io+sY5Wq1W8b777hMTEhLEEydONHi7t19LBjutlJ2dLXbr1k0cO3aseO7cOTE3N1e+SMxms5iamiqOGzdO3Lt3r7hhwwYxMTFRnDdvnnxMcXGxGBsbK956663ioUOHxC+//FIMDQ0VX375ZW+cVj2ZmZnivn37xKeeekoMDg4W9+3bJ+7bt08sKysTRVEU16xZI7733nvioUOHxFOnTon//ve/xdDQUPH++++XH8PXz1ENr+Oltm/fLi5btkzct2+feObMGfGzzz4TExISxClTpsjHtOS8lWz16tWin5+fuGLFCvHo0aPiggULxKCgIDEjI8PbQ2uVRYsWiZs3bxbPnDkj7tixQ5w8ebIYEhIin8/zzz8vhoWFiV9++aV46NAh8dZbbxXj4+PF0tJSL4+8cWVlZfLfGwD5d1IKuFtyTnPnzhUTExPFDRs2iHv37hXHjh0r9uvXr8EvoN7Q1DmWlZWJixYtErdv3y6mp6eLmzZtEocPHy527NjRp87xnnvuEcPCwsTNmzc7fBZWVlbKx3j7tWSw00ppaWkigAYvdWVmZorXXXedGBAQIEZGRorz5s1zWJ4siqJ48OBB8corrxQNBoMYFxcnLlmyRDHZgJkzZzZ4jps2bRJFURR/+OEHsX///mJwcLAYGBgopqamiq+99ppYU1Pj8Di+fI6i6Puv46X27NkjDh06VAwLCxP9/f3Fnj17ik8++aRYUVHhcFxLzlvJ3nzzTTE5OVnU6/XiwIED5aWwvuiWW24R4+PjRT8/PzEhIUGcPn26eOTIEfl2q9UqPvnkk2JcXJxoMBjEq666Sjx06JAXR9y8TZs2Nfi3N3PmTFEUW3ZOVVVV4rx588TIyEgxICBAnDx5snj27FkvnE3DmjrHyspKccKECWKHDh1EPz8/sVOnTuLMmTPrjV/p59jYZ2FaWpp8jLdfS8E+UCIiIiJV4mosIiIiUjUGO0RERKRqDHaIiIhI1RjsEBERkaox2CEiIiJVY7BDREREqsZgh4iIiFSNwQ4RERGpGoMdIvJpGzduRK9evWC1Wt36PIcOHUJiYiIqKirc+jxE5HoMdojIpz344IN49NFHodG49+2sT58+uPzyy/Hqq6+69XmIyPXYLoKIfNb27dsxadIknD9/Hv7+/m5/vm+//RZz587F2bNnodVq3f58ROQazOwQkSJkZGRAEIR6l9GjRzd6n9WrV2PChAkOgc6SJUvQv39/fPTRR+jcuTPCwsIwY8YMlJWVyceMHj0a8+fPx4IFCxAREYHY2Fi89957qKiowOzZsxESEoKuXbvihx9+cHi+iRMnorCwEFu2bHH5+ROR+zDYISJFSEpKQm5urnzZt28foqKicNVVVzV6n61bt2Lw4MH1rj99+jS+/vprfPfdd/juu++wZcsWPP/88w7HfPjhh4iOjsbOnTsxf/583HPPPbjpppswYsQI7N27FxMnTsTtt9+OyspK+T56vR79+vXDL7/84roTJyK3Y7BDRIqg1WoRFxeHuLg4hIeHY+7cuRg+fDiWLFnS6H0yMjKQkJBQ73qr1YqVK1ciNTUVV155JW6//Xb8/PPPDsf069cPjz32GLp3746HH34YAQEBiI6Oxt/+9jd0794dTzzxBAoLC3Hw4EGH+3Xs2BEZGRmuOGUi8hCdtwdARHSpOXPmoKysDOvXr2+y8LiqqqrBWp3OnTsjJCRE/jk+Ph75+fkOx/Tt21f+t1arRVRUFPr06SNfFxsbCwD17hcQEOCQ7SEi5WOwQ0SK8swzz+DHH3/Ezp07HQKWhkRHR6OoqKje9X5+fg4/C4JQb2l6Q8fUvU4QBACod7+LFy+ia9euzZ8IESkGp7GISDH+97//4emnn8bnn3/eooBiwIABOHr0qAdGVuvw4cMYMGCAR5+TiNqGwQ4RKcLhw4dxxx134B//+Ad69+6NvLw85OXl4eLFi43eZ+LEidi2bZvHxpiRkYHs7GyMHz/eY89JRG3HYIeIFGH37t2orKzEM888g/j4ePkyffr0Ru/z17/+FUePHsXx48c9MsZPP/0UEyZMQHJyskeej4hcg5sKEpFPe/DBB1FSUoJ3333Xrc9jNBrRvXt3fPrpp7jiiivc+lxE5FrM7BCRT3v00UeRnJwMi8Xi1ufJzMzEo48+ykCHyAcxs0NERESqxswOERERqRqDHSIiIlI1BjtERESkagx2iIiISNUY7BAREZGqMdghIiIiVWOwQ0RERKrGYIeIiIhUjcEOERERqdr/B6k6GvIf4XaHAAAAAElFTkSuQmCC\n", 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", "text/plain": [ "
" ] @@ -229,9 +227,9 @@ ], "metadata": { "kernelspec": { - "display_name": "Python [conda env:.conda-py39]", + "display_name": "py39", "language": "python", - "name": "conda-env-.conda-py39-py" + "name": "python3" }, "language_info": { "codemirror_mode": { diff --git a/tutorials/MOFF-protein-condensate/hp1alpha_condensate.ipynb b/tutorials/MOFF-protein-condensate/hp1alpha_condensate.ipynb index 1770f8c..aecf886 100644 --- a/tutorials/MOFF-protein-condensate/hp1alpha_condensate.ipynb +++ b/tutorials/MOFF-protein-condensate/hp1alpha_condensate.ipynb @@ -147,12 +147,10 @@ ], "source": [ "# visualize start.pdb\n", - "try:\n", - " pdb = mdtraj.load_pdb('start.pdb')\n", - " nglview.show_mdtraj(pdb)\n", - " print('Show start.pdb structure.')\n", - "except NameError:\n", - " print('Please install nglview to visualize molecules in the jupyter notebooks.')" + "pdb = mdtraj.load_pdb('start.pdb')\n", + "print('Show start.pdb structure.')\n", + "view = nglview.show_mdtraj(pdb)\n", + "view" ] }, { @@ -2887,11 +2885,9 @@ ], "source": [ "# visualize compression trajectory\n", - "try:\n", - " nglview.show_mdtraj(npt_traj)\n", - " print('Show HP1alpha dimer NPT compression trajectory.')\n", - "except NameError:\n", - " print('Please install nglview to visualize molecules in the jupyter notebooks.')" + "print('Show HP1alpha dimer NPT compression trajectory.')\n", + "view = nglview.show_mdtraj(npt_traj)\n", + "view" ] }, { @@ -2934,12 +2930,10 @@ " multiple_chains_CA2AA('slab_NVT_relaxed.pdb', [2*n_mol], [191])\n", " \n", " # show all-aton structure\n", - " try:\n", - " pdb = mdtraj.load_pdb('slab_NVT_relaxed_AA.pdb')\n", - " nglview.show_mdtraj(pdb)\n", - " print('Show HP1alpha dimer condensate all-atom structure.')\n", - " except NameError:\n", - " print('Please install nglview to visualize molecules in the jupyter notebooks.')" + " pdb = mdtraj.load_pdb('slab_NVT_relaxed_AA.pdb')\n", + " print('Show HP1alpha dimer condensate all-atom structure.')\n", + " view = nglview.show_mdtraj(pdb)\n", + " view" ] }, { diff --git a/tutorials/MOFF-protein-condensate/hp1alpha_dimer.ipynb b/tutorials/MOFF-protein-condensate/hp1alpha_dimer.ipynb index 5a031b3..0d223bb 100644 --- a/tutorials/MOFF-protein-condensate/hp1alpha_dimer.ipynb +++ b/tutorials/MOFF-protein-condensate/hp1alpha_dimer.ipynb @@ -77,12 +77,10 @@ "source": [ "hp1alpha_dimer_parser = MOFFParser.from_atomistic_pdb('input-pdb/hp1a.pdb', 'hp1alpha_dimer_CA.pdb')\n", "\n", - "try:\n", - " pdb = mdtraj.load_pdb('input-pdb/hp1a.pdb')\n", - " nglview.show_mdtraj(pdb)\n", - " print('Show HP1alpha dimer all-atom structure.')\n", - "except NameError:\n", - " print('Please install nglview to visualize molecules in the jupyter notebooks.')" + "pdb = mdtraj.load_pdb('input-pdb/hp1a.pdb')\n", + "print('Show HP1alpha dimer all-atom structure.')\n", + "view = nglview.show_mdtraj(pdb)\n", + "view" ] }, { @@ -99,12 +97,10 @@ } ], "source": [ - "try:\n", - " pdb = mdtraj.load_pdb('hp1alpha_dimer_CA.pdb')\n", - " nglview.show_mdtraj(pdb)\n", - " print('Show HP1alpha dimer CG structure.')\n", - "except NameError:\n", - " print('Please install nglview to visualize molecules in the jupyter notebooks.')" + "pdb = mdtraj.load_pdb('hp1alpha_dimer_CA.pdb')\n", + "print('Show HP1alpha dimer CG structure.')\n", + "view = nglview.show_mdtraj(pdb)\n", + "view" ] }, { @@ -429,7 +425,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.13" + "version": "3.9.16" }, "latex_envs": { "LaTeX_envs_menu_present": true, diff --git a/tutorials/MRG-dsDNA/dsDNA.ipynb b/tutorials/MRG-dsDNA/dsDNA.ipynb index 8ca4869..487e9f4 100644 --- a/tutorials/MRG-dsDNA/dsDNA.ipynb +++ b/tutorials/MRG-dsDNA/dsDNA.ipynb @@ -194,12 +194,10 @@ ], "source": [ "# view trajectory\n", - "try:\n", - " traj = mdtraj.load_dcd(output_dcd, top='MRG_dsDNA.pdb')\n", - " nglview.show_mdtraj(traj)\n", - " print('Show dsDNA simulation trajectory.')\n", - "except NameError:\n", - " print('Please install nglview to visualize molecules in the jupyter notebooks.')" + "traj = mdtraj.load_dcd(output_dcd, top='MRG_dsDNA.pdb')\n", + "print('Show dsDNA simulation trajectory.')\n", + "view = nglview.show_mdtraj(traj)\n", + "view" ] } ],