Skip to content

Instantly share code, notes, and snippets.

@paulromano
Created August 20, 2024 17:22
Show Gist options
  • Select an option

  • Save paulromano/dbee367a32206dcf648e61731d488a8b to your computer and use it in GitHub Desktop.

Select an option

Save paulromano/dbee367a32206dcf648e61731d488a8b to your computer and use it in GitHub Desktop.
Analyze Rh103 cross sections
Display the source blob
Display the rendered blob
Raw
{
"cells": [
{
"cell_type": "code",
"execution_count": 7,
"id": "0e934186-a931-4c11-b334-7ba3579d0179",
"metadata": {},
"outputs": [],
"source": [
"import openmc\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "7ee524fa-205c-42fc-aece-eafc96d1623f",
"metadata": {},
"outputs": [],
"source": [
"rh103_endf = openmc.data.IncidentNeutron.from_endf('/opt/data/endf/endf-b-viii.0/neutrons/n-045_Rh_103.endf')"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "cd2f858d-fac4-4450-aea4-133ea8c86ff6",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{1: <Reaction: MT=1 (n,total)>,\n",
" 2: <Reaction: MT=2 (n,elastic)>,\n",
" 4: <Reaction: MT=4 (n,level)>,\n",
" 16: <Reaction: MT=16 (n,2n)>,\n",
" 17: <Reaction: MT=17 (n,3n)>,\n",
" 22: <Reaction: MT=22 (n,na)>,\n",
" 24: <Reaction: MT=24 (n,2na)>,\n",
" 28: <Reaction: MT=28 (n,np)>,\n",
" 41: <Reaction: MT=41 (n,2np)>,\n",
" 51: <Reaction: MT=51 (n,n1)>,\n",
" 52: <Reaction: MT=52 (n,n2)>,\n",
" 53: <Reaction: MT=53 (n,n3)>,\n",
" 54: <Reaction: MT=54 (n,n4)>,\n",
" 55: <Reaction: MT=55 (n,n5)>,\n",
" 56: <Reaction: MT=56 (n,n6)>,\n",
" 57: <Reaction: MT=57 (n,n7)>,\n",
" 58: <Reaction: MT=58 (n,n8)>,\n",
" 59: <Reaction: MT=59 (n,n9)>,\n",
" 60: <Reaction: MT=60 (n,n10)>,\n",
" 61: <Reaction: MT=61 (n,n11)>,\n",
" 62: <Reaction: MT=62 (n,n12)>,\n",
" 63: <Reaction: MT=63 (n,n13)>,\n",
" 64: <Reaction: MT=64 (n,n14)>,\n",
" 65: <Reaction: MT=65 (n,n15)>,\n",
" 66: <Reaction: MT=66 (n,n16)>,\n",
" 67: <Reaction: MT=67 (n,n17)>,\n",
" 68: <Reaction: MT=68 (n,n18)>,\n",
" 69: <Reaction: MT=69 (n,n19)>,\n",
" 70: <Reaction: MT=70 (n,n20)>,\n",
" 71: <Reaction: MT=71 (n,n21)>,\n",
" 72: <Reaction: MT=72 (n,n22)>,\n",
" 73: <Reaction: MT=73 (n,n23)>,\n",
" 74: <Reaction: MT=74 (n,n24)>,\n",
" 75: <Reaction: MT=75 (n,n25)>,\n",
" 76: <Reaction: MT=76 (n,n26)>,\n",
" 77: <Reaction: MT=77 (n,n27)>,\n",
" 78: <Reaction: MT=78 (n,n28)>,\n",
" 79: <Reaction: MT=79 (n,n29)>,\n",
" 80: <Reaction: MT=80 (n,n30)>,\n",
" 81: <Reaction: MT=81 (n,n31)>,\n",
" 82: <Reaction: MT=82 (n,n32)>,\n",
" 83: <Reaction: MT=83 (n,n33)>,\n",
" 84: <Reaction: MT=84 (n,n34)>,\n",
" 85: <Reaction: MT=85 (n,n35)>,\n",
" 86: <Reaction: MT=86 (n,n36)>,\n",
" 87: <Reaction: MT=87 (n,n37)>,\n",
" 91: <Reaction: MT=91 (n,nc)>,\n",
" 102: <Reaction: MT=102 (n,gamma)>,\n",
" 103: <Reaction: MT=103 (n,p)>,\n",
" 107: <Reaction: MT=107 (n,a)>,\n",
" 600: <Reaction: MT=600 (n,p0)>,\n",
" 601: <Reaction: MT=601 (n,p1)>,\n",
" 602: <Reaction: MT=602 (n,p2)>,\n",
" 603: <Reaction: MT=603 (n,p3)>,\n",
" 604: <Reaction: MT=604 (n,p4)>,\n",
" 605: <Reaction: MT=605 (n,p5)>,\n",
" 606: <Reaction: MT=606 (n,p6)>,\n",
" 607: <Reaction: MT=607 (n,p7)>,\n",
" 608: <Reaction: MT=608 (n,p8)>,\n",
" 609: <Reaction: MT=609 (n,p9)>,\n",
" 610: <Reaction: MT=610 (n,p10)>,\n",
" 611: <Reaction: MT=611 (n,p11)>,\n",
" 612: <Reaction: MT=612 (n,p12)>,\n",
" 613: <Reaction: MT=613 (n,p13)>,\n",
" 614: <Reaction: MT=614 (n,p14)>,\n",
" 615: <Reaction: MT=615 (n,p15)>,\n",
" 616: <Reaction: MT=616 (n,p16)>,\n",
" 617: <Reaction: MT=617 (n,p17)>,\n",
" 618: <Reaction: MT=618 (n,p18)>,\n",
" 619: <Reaction: MT=619 (n,p19)>,\n",
" 620: <Reaction: MT=620 (n,p20)>,\n",
" 621: <Reaction: MT=621 (n,p21)>,\n",
" 622: <Reaction: MT=622 (n,p22)>,\n",
" 623: <Reaction: MT=623 (n,p23)>,\n",
" 624: <Reaction: MT=624 (n,p24)>,\n",
" 625: <Reaction: MT=625 (n,p25)>,\n",
" 626: <Reaction: MT=626 (n,p26)>,\n",
" 627: <Reaction: MT=627 (n,p27)>,\n",
" 628: <Reaction: MT=628 (n,p28)>,\n",
" 629: <Reaction: MT=629 (n,p29)>,\n",
" 630: <Reaction: MT=630 (n,p30)>,\n",
" 631: <Reaction: MT=631 (n,p31)>,\n",
" 632: <Reaction: MT=632 (n,p32)>,\n",
" 633: <Reaction: MT=633 (n,p33)>,\n",
" 634: <Reaction: MT=634 (n,p34)>,\n",
" 635: <Reaction: MT=635 (n,p35)>,\n",
" 636: <Reaction: MT=636 (n,p36)>,\n",
" 637: <Reaction: MT=637 (n,p37)>,\n",
" 649: <Reaction: MT=649 (n,pc)>}"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"rh103_endf.reactions"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "d5b7c547-d07f-49ae-961b-e1895463c3dc",
"metadata": {},
"outputs": [],
"source": [
"rh103_eaf = openmc.data.IncidentNeutron.from_endf('/opt/data/endf/eaf2010/EAF2010data/eaf2010-n/gxs-709/Rh103g.asc')"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "4c876fcd-20da-4c62-ad0e-5a0cf5fd7c11",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{11: <Reaction: MT=11 (n,2nd)>,\n",
" 24: <Reaction: MT=24 (n,2na)>,\n",
" 28: <Reaction: MT=28 (n,np)>,\n",
" 32: <Reaction: MT=32 (n,nd)>,\n",
" 33: <Reaction: MT=33 (n,nt)>,\n",
" 34: <Reaction: MT=34 (n,n3He)>,\n",
" 35: <Reaction: MT=35 (n,nd2a)>,\n",
" 36: <Reaction: MT=36 (n,nt2a)>,\n",
" 41: <Reaction: MT=41 (n,2np)>,\n",
" 42: <Reaction: MT=42 (n,3np)>,\n",
" 44: <Reaction: MT=44 (n,n2p)>,\n",
" 45: <Reaction: MT=45 (n,npa)>,\n",
" 102: <Reaction: MT=102 (n,gamma)>,\n",
" 103: <Reaction: MT=103 (n,p)>,\n",
" 104: <Reaction: MT=104 (n,d)>,\n",
" 105: <Reaction: MT=105 (n,t)>,\n",
" 106: <Reaction: MT=106 (n,3He)>,\n",
" 107: <Reaction: MT=107 (n,a)>,\n",
" 108: <Reaction: MT=108 (n,2a)>,\n",
" 112: <Reaction: MT=112 (n,pa)>,\n",
" 115: <Reaction: MT=115 (n,pd)>,\n",
" 116: <Reaction: MT=116 (n,pt)>,\n",
" 117: <Reaction: MT=117 (n,da)>,\n",
" 154: <Reaction: MT=154 (n,2nt)>,\n",
" 155: <Reaction: MT=155 (n,ta)>,\n",
" 156: <Reaction: MT=156 (n,4np)>,\n",
" 157: <Reaction: MT=157 (n,3nd)>,\n",
" 158: <Reaction: MT=158 (n,nda)>,\n",
" 159: <Reaction: MT=159 (n,2npa)>,\n",
" 162: <Reaction: MT=162 (n,5np)>,\n",
" 163: <Reaction: MT=163 (n,6np)>,\n",
" 169: <Reaction: MT=169 (n,4nd)>,\n",
" 170: <Reaction: MT=170 (n,5nd)>,\n",
" 172: <Reaction: MT=172 (n,3nt)>,\n",
" 173: <Reaction: MT=173 (n,4nt)>,\n",
" 174: <Reaction: MT=174 (n,5nt)>,\n",
" 177: <Reaction: MT=177 (n,3n3He)>,\n",
" 181: <Reaction: MT=181 (n,3npa)>,\n",
" 183: <Reaction: MT=183 (n,npd)>,\n",
" 185: <Reaction: MT=185 (n,ndt)>,\n",
" 186: <Reaction: MT=186 (n,np3He)>,\n",
" 187: <Reaction: MT=187 (n,nd3He)>,\n",
" 189: <Reaction: MT=189 (n,nta)>,\n",
" 190: <Reaction: MT=190 (n,2n2p)>,\n",
" 194: <Reaction: MT=194 (n,4n2p)>,\n",
" 196: <Reaction: MT=196 (n,4npa)>,\n",
" 198: <Reaction: MT=198 (n,n3p)>}"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"rh103_eaf.reactions"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "ccc8a26a-4730-4678-947a-5ea53e6aae9c",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(np.float64(7451382.011889096), 100000000.0)"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAkIAAAGlCAYAAAAWDpmnAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy80BEi2AAAACXBIWXMAAA9hAAAPYQGoP6dpAACYn0lEQVR4nOzdeXyU1b348c9smewJIXsCCfsSJGAwLIKCoizuorUgCmK9197a2tK6W6u2lV+LWrjVaqsEtF4Vd60LLiAgAiLBsErYAoSQhIQsk0ySWZ/fH09mQkgCWWZL8n2/XuPMPPPMc85glm/O+Z7v0SiKoiCEEEII0Qtp/d0BIYQQQgh/kUBICCGEEL2WBEJCCCGE6LUkEBJCCCFEryWBkBBCCCF6LQmEhBBCCNFrSSAkhBBCiF5LAiEhhBBC9FoSCAkhhBCi15JASAghhBC9lgRCQgghhOi19P7uQEfdcMMNrF+/nssvv5x33nmn3e9zOp2cPHmSiIgINBqNF3sohBBCCE9RFIWamhqSk5PRaj0/fqPpbpuurl+/npqaGl555ZUOBUInTpygX79+XuyZEEIIIbylsLCQ1NRUj1+3240ITZ06lfXr13f4fREREYD6DxkZGenhXgkhhBDCG0wmE/369XP/Hvc0nwZCGzduZOnSpeTm5lJcXMz777/P9ddf3+yc559/nqVLl1JSUkJmZiZ///vfyc7O7nLbrumwyMhICYSEEEKIbsZbaS0+TZY2m81kZmby/PPPt/r66tWrWbx4MX/4wx/YsWMHmZmZzJgxg1OnTnW4LYvFgslkanYTQgghhDiTTwOhWbNm8ac//Ykbbrih1defffZZ7rrrLu644w5GjhzJiy++SGhoKDk5OR1ua8mSJURFRblvkh8khBBCiLMFzPJ5q9VKbm4u06dPdx/TarVMnz6dLVu2dPh6Dz30ENXV1e5bYWGhJ7srhBBCiB4gYJKly8vLcTgcJCQkNDuekJDA/v373c+nT5/Ozp07MZvNpKam8vbbbzNx4sQW1zMajRiNRq/3WwghhBDdV8AEQu311Vdf+bsLQgghhOghAmZqLDY2Fp1OR2lpabPjpaWlJCYm+qlXQgghhOjJAiYQCgoKIisri7Vr17qPOZ1O1q5d2+rUlxBCCCFEV/l0aqy2tpZDhw65nxcUFJCXl0dMTAz9+/dn8eLFLFiwgHHjxpGdnc2yZcswm83ccccdvuymEEIIIXoJnwZC27dvZ9q0ae7nixcvBmDBggWsWrWKW265hbKyMh577DFKSkoYM2YMa9asaZFALYQQQgjhCd1ur7HOMplMREVFUV1dLZWlhRBCiG7C27+/AyZHSAghhBDC1yQQEkIIIUSv1e3qCAnhTYqigAI41Xv38zPulbaeO5uON3sfgGuzQI36WON6fOZrWtDotGj06g29xmubDAohhFBJICQClqIoYFdwWh0oFgeK1XHWY2fT48Z7xeZU7+1OFKuz8b7xuMOJYlfA7kRxKOprDqUx6GkMXAJNY1CkMWjQGHRo9Br1eZAObYi+xU0Tamh5PMyARisBlRBCtEYCIeEzilPBabbhqLXhrLXirLXhcN+rx9R7G06LHcXqUEdZAlXj6I57lOfs52dNPKsjR6j/OfsxjYGf46yAzN4YzDUA2DrVzeTHJ6IJlm91IYRojfx0FB6j2J3YSuuwnazFVlqHo8aqBj41arDjrLN1ftRFr0VrVEdCNEE6tEYdGmPj4yDXY606amLQojU0PXbd3KMrOk3j1FPjY60GtG0HNGhQp6hcz7V4bcrKFQwprgDI1vIeuxOn1YGz3o6zzo5Sb1cfn32rs6PYHGiMOq/0VQghegIJhESnKDYntlIz1qJabEW16n2JWR3ROBcNaEP1aMOD0IUZ0EYEoQs3oA03oAsPQhumPtaG6JsCHIMOja53TO1oNBo1N0jvmXUMilORPCMhhDgHCYTEeTmtDmwl5qaAp0gd8cHZMujRBOsJSgnDkBSOLjKoKdAJM6CLCEIbaug1QU0gkNwgIYQ4NwmERAvWolosR6vdgY/9VF2rU1raUD2GlHCCUsLV++RwdDHBMgIhhBCi25BASLjZKxuo/uQI9XtOt3hNG25oFvAYUsPRRRkl6BFCCNGtSSAkUGxOajaeoGZ9oZqMq4XgoTHu0Z6glHC0kUES9AghhOhxJBDq5ep/PE3Vf47gqGgAIGhAJNHXDiYoKczPPRNCCCG8TwKhXspeXk/Vx0do2F8BgDYyiOjZAwjJjJORHyGEEL2GBEK9jNPqoObrQmo2nlCXuus0hE9OIfKyfmiN8uUghBCid5HffL2EoijU7ymn+uMCHNUWAIxDoom+ZhCG+FA/904IIYTwDwmEegHbqTqqPjqM5VAVALpoI9HXDCR4ZF+ZBhNCCNGrSSDUgzkb7JjWHqf225Nq8UO9hohL+xFxaSraINl2QQghhJBAqAdSFIX6vDKqPi3AWWMFIHhEDNFXD0TfN8TPvRNCCCEChwRCPYz1ZC1VHx3GetQEgL5vMFHXDCJkeIyfeyaEEEIEHgmEegjF5qTq0yOYtxaDAhqDlojL+hMxJcVjG3gKIYQQPY0EQj2EObcE85ZiAEJGxxI1eyD6aKOfeyWEEEIENgmEegjF4gTUIKjvvBF+7o0QvYeiKDgVJ06coIATJ07FiaIoKDS+pqjfn07FiYKCTqNDq9G2uNdqtLKSUwgfk0Coh5FpMCE6TlEUTjec5rjpOEW1RdTaajHbzC1utbZa6mx1LR4rKB7riyswahYkaVs5ptGi0+qaB1Fo3MFUq4/RtHiOBrQ0nnfGa1qNFi1qG67HWm3jvabl7cz3aTQa93kaTfO2XddyPz77vWf0u61zNRoNOo2uqZ2z+nX2v49Oo3M/1mv16LV6DFpDi3sJTnsnCYSEEL2CzWmjxFxCUW0RRTVFFNYUcrzmuHpvOk6dvc7fXQRwjyDZsPm7K6KRBgmE/MlR7/Dq9SUQEkL0GDanjcKaQgqqCigwFXC0+ihFtUWcrD1JSV2Je4qqNVqNlqSwJFLDU4k0RhJmCGt2CzeEE2oIJUwfRniQ+jjcEE6YIQyD1uC+RmujH65RF61GHbF1KA6cirP5vbP587aOtXVcURR1mo6W03IKinsKz/X4zHvXv4vrsetcVxtn3xyKo/n1G9s9872uts5+7GrT3efWruN0tv45Gl93KA5QcF/j7H42+7dxNv27OZwO7Iodu9OOzWlrdn8unhzxEx3n7X9/CYR6DPlGFb2HU3FyzHSMH0//yIHKAxRUF3Ck+ggnak5gV9r+pRakDSI5PJmUiBRSw1NJi0yjf0R/+kf2JyU8hSBdkE/6r9fIj95AoigKdsWuBk/OlkGq8K8aUw0Dfz7Qa9eX70YhRECzOW0crjrMj6d/5MeKH9lfsZ/9Ffupt9e3en6IPoQBUQMYEDWAtMg0UsNTSY1IJSU8hdiQWPeojBAuGo0Gg0Yd1UOK7gecIJt3/0CRQKinkaQ+0c1ZHBZ2l+1me+l2cktz2Vm2s9WgJ1gXzNCYoQzvM5yB0QMZEDWAgVEDSQhNkORWIUS7SSAkhPArq8PKjlM7+L7ke3JLc9ldthur09rsnAhDBCP6jmB4zHBG9B3BiJgRpEemo9PKn+9CiK6RQEgI4XOVDZV8U/QN6wvX823Rty1WbPUN7su4xHFkJWQxLmEcg6IHdf8pLYcdrDVgrWscudWARtvKY5oea/WgDwFtYH52q91JndWO2eqgztL8vt7mwGJzYLE7sdqdWOxOLPam51a7E7vTic2h4HAq2BzOxnsFu1N9DOBUFJxO9V5RGp8ravqsojRmRyoKTqV5Uq1rpZdGrRAAGvWIXqtBr9Ng0GnRaTXotVoMOg06beNNo0HrvgetRoNWRhj9ylJX69XrSyDUQyiSKy0CXEF1ARsKN/B14dfkleU1W8EVGxLLhKQJ7sAnLTItcKe3FAXMZVB1HKqOQVUh1FeCpUa9WWsbH5sa7xuft5HT1C76EDCEQFAYGELPeByiPg8Kg+Coxls0hESf9bjxeVBYq9PndoeT02YrpaYGTpksVNZZqa63UVVno6reSnW9narGY67jdVY7Nof84BHe57R4t7SFBEJCCK+pbKjko8Mf8d7B9zhSfaTZa8P6DOPSfpcyrd80RvYdGTgjPi0CneMtb/aGzl+/cak9ihNQGu/Pw16v3uorOt8u4NDoqTdEU6ONoooITjvDKbGHcdIaymklkkolggoiqFbCqCYMkxJKDaE4zpNBHKTXEhakIzRIT5hRvQ8x6DAatBj1Wox6HUH6psdGgxaDTotBq0Gv07pHadyPteoojE6rUQfGGkdltBoaCz+qozyaxlEe1zmN9SGbxoUaR4kUpWn0yNE4CmV3OrE7FOxOBbvDid2pjkw5FQVH4wiUo/GYhHv+1WCu5ZFl3rt+twqECgsLue222zh16hR6vZ7f//733Hzzzf7ulhDiDIqikFuay9sH3ubLY19ic6qFAfVaPdmJ2VyaeilT+00lOTzZzz1tpChQuhcOr4PDa6FwG9jO9xeoBiKTIbo/RPWDsFgwRjS/BUW0PGaMAJ2h7X4ozsbh3cbHTjvY6sFqVu9tZnVqzfW48TWnxUxt9Wlqq8ux1FTgqKtEY6kmyFZDqKOGSMwYNA50ip1waznhlJN0Ztvn+U1g04ViC4rEERQFwZFoQvqgDYtBFx6LPjwWXVgshPaF0KjG+xh1FCpAp/RE92IymXjEi9fvVoGQXq9n2bJljBkzhpKSErKyspg9ezZhYWH+7poQvV61pZqPDn/E2wfepqC6wH18ZN+R3Dz0ZmamzyQ8KNyPPTxDTSkUbGgMftZBbelZJ5wR6LR2i0wFvYeX9Go0oDl75MWoTmeFxbqP1Fnt/FhsYu9pE3uLTOwtruZASS1WR9sjSwYdDInWMSzKzoDQBlKM9STqzcRqa+ijqSHcUU2wrQpt3WmoOw0N1erNquZmGBx1GOrroL4Eqtv7eXRqv8Pi1PvQMx6HxZ3xuPF5ULisehV+0a0CoaSkJJKS1L9jEhMTiY2NpaKiQgIhIfzomOkY/9r1L9YUrHGv9grRhzB7wGxuHnYzGX0z/NtBRYGKI3BsMxzfCse3QMXh5ucYQiF9Cgy6DAZeCjGDPB/odEKl2crekyb2nqxm70kTe05WU1BubjUnMEivJS0mlLS+YaT3DSUtVr1P7xtGUlQwel0nRmccNmgwQUNV460xQKqvUqfp6irUwMlcrt7XnVaPWWtAcagBZosgsw06Y/PgKDwBIhIhIkkNSiMSISJZPUfXrX51iQDn0a+mjRs3snTpUnJzcykuLub999/n+uuvb3bO888/z9KlSykpKSEzM5O///3vZGdnd7it3NxcHA4H/fr181DvhRAdUdlQyT93/ZPV+1e7qzkPjxnOzUNvZvaA2f4d/akphfxP1dGe41vBfOqsEzSQeAEMvlwNfvqNB73RL1090ylTA1uOnGbrkQq+O3KaI+XmVs+LjzCSkRxJRnKU+z61TwharYdHVHQGCOur3jrCbmkKkMxlZ9yXQV25+rz2VOPj0+o0n8MCphPq7Vw02qYgKTyxKVhy3ydAZIo6RScjTKIdPBoImc1mMjMzWbRoETfeeGOL11evXs3ixYt58cUXGT9+PMuWLWPGjBnk5+cTHx8PwJgxY7DbW5bI/+KLL0hOVnMKKioquP3223nppZfa7IvFYsFisbifm0ymrn48IQRqwcPXf3ydl3a9RI2tBoApKVP4eebPGRU7yn+rvU4fhv2fwP6P1TyfM1NcdUZIyYL+EyBtEqRepK6m8rNTNQ18d6SiMfg5zZGyloFPWt/QFkFPXIT/g7Zz0hvVUZzIduaBWc2No0pnBEnmU2AqhhrXrUS9KY6mY+fsQ3BjH1IgKrXxPkWd1oxMVh8HR0uwJNAoincWXms0mhYjQuPHj+eiiy7iueeeA8DpdNKvXz9++ctf8uCDD7bruhaLhSuuuIK77rqL2267rc3zHn/8cZ544okWx6urq4mMjOzYh+kGTOsLMa05Sui4BGJuGurv7ogeyKk4WVOwhuU7lnPSfBJQR4B+O+63TEia4J9OlR+CXavV4OfUvuavpWTBsFnqlFfy2IAY8amus/HNoTK2HjnNlsOnOXxW4KPRwMikSCYO7MuEgX25aEAMUSFtJFcHAKfVirOmBofJ1Hhfg7O28XldHYrFimKxoFgtON2PrShWC4rNhuJUUIsEOVEUJzQ+VxQnKKDRamks5oNGo97jtKFxWNFgR4MVjWJB42xA46xH46gDuxmtoxatXkGjU9DqFDT65vdavXrThASjjUlEE52CJjIZQvqcUYbgjFsAfO30ZqaaWqIyLvfa72+fTbRarVZyc3N56KGH3Me0Wi3Tp09ny5Yt7bqGoigsXLiQyy677JxBEMBDDz3E4sWL3c9NJpNMownRSdtLtvPM9mfYc3oPAPGh8fxq7K+4ZtA1vl/27rDDgTXw/UtwZH3Tca0e0ifD8Kth2Gz1L/4AUFVn5Yu9pXy6p5hvD5U3q72j0cCIxEgmDOzLxEF9yU6PISrUv4GP4nTiqKrCfuoU9lOnsJWWNj4ucx+zl5XhMJlQGrpQRsBrtEBHflnWg+YgWt0BNFoFtKDRKmpNS63irncp/KfG3o4SE13gs0CovLwch8NBQkJCs+MJCQns37+/Xdf49ttvWb16NaNHj+aDDz4A4N///jcXXHBBi3ONRiNGo0TxQnSFyWriT1v+xGdHPwMgVB/KnRfcyW0jbyNEH+LbzpjLYccrsH0lVBc2HtTAkCth1I0wdIb6F30AqDBb+WJvCZ/sLmbL4dPYnU3Bz+D4cCYPjmXioL6MHxBDdKh/krKddXVYCgqwHinAWnAEy5ECrEeOYD16FMVqPf8FzqCNiEAbEY4uIhJdRATayEi0oaFojEFojUY0QUY0RmPz5wY9aLXqqI9G2/hYo44AuYJrpXG0yOEExYmilphGcdjBbldHlWw2FKvtjMdWnFYLSn0DTkuDet/QgFJfj7OhAWd9PUpdnTpiZbM1tqPBaZdoJ1BZHQ6vXr9bpd5PnjwZp9O7kaEQQrWrbBf3b7yfotoidBodNw29ibsz7yY2JPb8b/akk3mw9R+w931wNP6CDomBC2+HcYugT5pv+9OG8loLn+8t4bPdJWw5ctq9RQTA8MQIrrogiVkXJDI4PsKn/VIUBevRo9Tv3EnD3n1YjxzBUnAE+8lz59jo+vZFHx+PIT4e/Zm3hHj0cXHooqLRRUagDQtDo+uee74pdjvO+no1KKqvR3EFV3Y7is312KZO2Qm/MZnNMGum167vs0AoNjYWnU5HaWnzpZSlpaUkJib6qhs9l3yfCg9xKk5e2fsK/7vjf7ErdlLCU/jrJX9ldNxo33bk9GFY90c1AHJJvhCy/wsybgBDsG/704pai50P84r4eGcx3xWcbvb7MiM5ktkXJDFrVCID43y3gs5RU0P9rl3U79ypBj95O3FUt178RxcTQ9DAARgHDCRo4ECMAwcQNGAAhsRENEH+Lx/gbRq9Hl1EBLoI3wanomOcXl7s5LNAKCgoiKysLNauXetOoHY6naxdu5Z77rnHV90QQpxDRUMFj2x6hE1FmwC4Mu1K/jDpD0QG+XCBQU0pbPiLOg3mtAMauOAmmPBzNQE6ABRV1fPK5qO8se04NQ1Nq1xHp0a5g5+0vr6pb2YrLsb87bfU5eXRsHMnlkOHW2w+qAkKInjUKEIuuADj0CEEDRhI0IB09H0CYypRCH/yaCBUW1vLoUOH3M8LCgrIy8sjJiaG/v37s3jxYhYsWMC4cePIzs5m2bJlmM1m7rjjDk92QwjRCduKt/HgNw9SVl+GUWfkgewHuGnITb5bDt9ggs1/hy3PNW1xMWQGXP4YJI7yTR/OI6+wipe/OcJne0rcU18DYsOYm92PWaOS6BcT6vU+KA4H9Tt3Urt+A7UbNmDJz29xjiE1lZAxYwjJzCRkTCbBw4b1ihEeITrDo4HQ9u3bmTZtmvu5a9XWggULWLVqFbfccgtlZWU89thjlJSUMGbMGNasWdMigVoI4Tt2p51/7von/9z5TxQUBkYNZOmlSxnax0dlGBw2+P5l2LhULcIHkDIOrnhCXQXmZw6nwhd7S3h5UwG5xyrdxycN6sudkwcwbVi85wsZnt2Hqipqv9lE7YYNmL/5pvlUl1ZLyOjRhGZnEzImk5DRo9HH+jiPS4huzGt1hAKNyWQiKiqq59YR+roQ0+dSR0h0TKm5lAe+eYDc0lwAbhxyIw9c9AChBu+PbABQsgc++DmU7FKf9x0Ml/8BRlzj90J3NQ023tp+gpXfFnCish4Ag07DtZkpLJqcTkZylFfbtx4/jmnN59SuX099Xp5ab6eRNjKS8MmTCZ82lbDJk2WKS/Ro3v793a1WjYlz6RXxrPCgk7UnWfT5IopqiwjVh/KHiX9g9sDZvmncYYNNf4MNfwWnTV32fvkfYOxtft9HqrCijlc2H+XN7wuptaj5P31CDcyfkMZtE9KIj/RekrZitVKzbh2Vq1dTt2Vrs9eMQ4YQPvVSwi+9lJAxY9Do5ce3EJ4g30lC9ELFtcXuICgtMo1/XP4P+kf2903jpXvVUaDinerzYVfB1X9T94jysxfWH2bp5/vdq78GxYVx5+SB3DA2hZAg7y0Rtx47RtXbb1P13vs4KirUgxoNYZMmETH9csIvuQRDSmAUiOxpFEXBYbNht1pxOh04HepNcTpwOp04HQ75O9PPampqvHp9CYR6GL/t8yS6jRJziTsI6hfRjxVXriAhzAdBiMMG3y6D9X9RR4GCo2H2UrjgZr9PgwE8//Uhln6uJh5PHhzLnVMGcOmQOK/l/7Q1+qOPiyPqpjlEz7mJoFQJfs6kOJ3YrVZsVgt2iwWbxYLdaml6brVgb2jAUl+PxVxLg7kWS50ZS20tDXVmLGYzNkuD+h5L03vOXmUnAkuDq/Cll0ggJEQvUmou5c7P7+RE7QlSw1PJmZHjmyCodB98cHdAjgIB/GN9UxB034xh/GLaYK+11eboz5TJ9PnJTwi/9FI0hsDdX8xTFEWhobaGmtPl1Facbrwvp+b0aWoqymmorXEHKq6gxW61nP/CXaTRatHqdOq9VofWtd+Z8BvFKoGQEMIDTtWd4s4v7uR4zXFSwlPImZFDYpgPipnueBU++a1aFTo4Gmb9FUb/JCBGgQBe3HCYv67xfhBkPVHEqaVLqfn8c/ex3jD6Y2tooKK4iIqiwsbbCU4XFVJ9qrRLgY3OEIQ+KAiD0Yg+yKjeG40YgoIwhoZjDAvDGBqGMSyM4LBwjGHhGENDCQoOaTzPiN4Y7H6/PihIDYAC5OtSNDGZTNz373e8dn0JhHoKGdkV51BWV8adn9/JMdMxksOSyZmRQ1J4kncbtVvgswcgd6X6fMgMuPZ/ISJwKsn/c8Nh/t9n6l6Hv71iqFeCIGddHadffpnTK3JQLJbmoz9Tp/aopOf62hpO5v/Iyfx9nDpWQEVRIaayU+d8jyE4gqCQKHRBkWi14ShKOHZ7CA5HMIpTh+LUg8YA6NFoDGc8VgMWu6J+qTVYQKvTNN60aLWaM55r0Gg1aHUQFGzFGKoQHGbHGGrFGKpvvBkwhuoJCtFjDDnzXodWJyNCPVnP+Q4UQrSqvL6cO7+4k6OmoySFJbFixgqSw5O926ipGN66HU5sAzRw2aMweXFATTG8tPEISxqDoN9MH8ovLx/i0esrioLp40849fTT2Bu3FgodP56Ehx8ieNgwj7blD4qiYCo7RVH+Por276Vo/z5Onzje6rmG4DCMYfFotDHYbZHY7dFotH3QaMPRaPQ4aNpG7kyaM/ZfbXZc03paj9Oh4HQogGf3pJRBIv+qt5q9en0JhHoa+YYVZzhdf5qfff4zCqoLSAhNYMWMFaRGpHq30eNb1SCothSCo2DOChhyhXfb7KCXNh7hz5/+CMC9lw/h3umeDYLqd++h9KmnqP/hBwAMKSnEP3A/EVdc0a2nXmxWC0dyv+fgd99StH8vtZUVLc4JjYrHENIPmy0WuyUKja4vGm0IdidqfKIBXRCE9zESFmUkNDJIvY8Kcj8PjQrCGKpHq9Oi02vdozo6ndY9uqM4FZxOBYfd6Q6AnI4zH6uvOx3OxnsFp92JtcFBg9mGpc6Opc6Gxdx4X2fHUm/HWt90b7eqAZXkUvuXt//9JRASooeqaKjgZ1/8jMPVh4kPjWfljJX0i+jnvQYVRa0QveZBdY+w+JFwy2vQd5D32uwgu8PJnz75kVWbjwLwq8uH8JsrPFeA1F5Wxqm/LaP6/fdBUdCEhBD73/9NzB0L0RqNHmvHl5wOB8d35/Hjtxs49P0WrPX17tc0Wh1R8f3RB6fSYI7DZo3HqQ3F0pj6ozVAeIyRmKRw+iaHEdN465MYhsHYtXIEGq0GnVaDTu+9UUaHw4mt3oHD4dkRJtExJpOJ+1Z67/oSCAnRAzkVJ//z1f9wqOoQ8SHx5MzIoV+kF4MgW4OaEJ33mvo84wa49jkw+m7X9fMxNdi45/Uf2HigDFATo/9nqmeCNKfVSuW//035P17AaVaH8aOuu5a4xYsxdMMthBRFofhgPvu/3UD+lm+oq65yvxYWHUtE3AVYLamYTdE0WAzQGPjojVqSB0eROjyGpMHR9E0OIyik+/6a0em06MIDZzq3t3JovPtHRPf9ChXNydCtOENBdQF7T+8lWBfMyzNeJi0yzXuN1ZTAG3Ph5A41oWP64zDpVwGVWHHstJk7X9nOoVO1BBu0/O0nY5h1gWeSxWvWr6d0yRJsx9T8mOALLiDh4YcIHTvWI9f3JXNVJXmff8yPm9ZTfarUfdwYFkGf5EzqzQNoqIulqlz9f6vVQnx6JKnD+pA6IobEgZHoDd4rPCmEN0ggJEQPtO/0PgBG9B3BgKgB3muo4gi8ej1UHVO3ybgpBwZd5r32OmHL4dP8/P9yqaqzkRgZzMsLxjEqpev7hCmKQtmzf+P0Sy8BoIuLJX7xb4m67lo0AZQU3h6m8lN8/9G77F73BY7G4nV6YzCx/UZjsw+itiqeqnI1wDGG6Bh4YTwDRseSMjQaY2jPr3kkejYJhITogVyB0Mi+I73XSMlu+PeNYD4FfdLhtvchZqD32uuEN7cd59EP9mB3KmSmRvHS7eM8sleYYrVy8tFHMX30HwBiFi4k9p570IWHdfnavlRZXMS2D99h38Z16lYSQJ+kQRgjsqgqS6DqtBrk6HQa+o/qy7DxiaRf0Be9F7cbEcLXJBASogfyeiB0bDO8/lOwVEPCBTD/3YCpEg3qaM1fP8/nhfWHAbh6dBJP35xJsAembRw1NZz41a/UbTF0OpKefJLoOTd2+bq+VHb8KN+9/xYHtmxCUdRE4JiUYdidWdTVJ1DfoE59JQ6MYtj4BAZlxRMSHuTPLgvhNRIICdHDOBUn+yvU+jgjY7wQCOV/Bm8vBHsD9J8Ec9+AkGjPt9MFz355wB0E/Wb6UH51+WCPLFu3lZZS+F//jSU/H01oKKnLlxM+ZXKXr+srJYcOsPX9tzi8vWlvs779RmG1jaWuLg6AsOggMqakMGx8AlFxof7qqhA+I4GQED3MUdNR6ux1BOuCSY9K9+zF896AD38BigOGzoKbV4IhxLNtdNFz6w7y93WHAHj8mpEsvNgzOVKWgwc5/l//jb24GF1sLP3++SIhGRkeuba3masqWbfqXxzY8o16QKMhtv8YGuozMdfGABARE8yFM9MYPjFREp5FryKBkBA9jGtabFjMMPRaD36Lb3kePn9YfZw5F679O+gCK1H25W+O8PQXBwB4aNZwjwVB5m3bOHHPL3GaTAQNGEC/l/5FUKqXC1N6gKIo7Nu4jvWvvESDuRaNVkts/yzMtRdQa4oGIDohlKyZaQzJTkAnW0mIXkgCoZ4mcFYsCz/xeH6QosDaJ2HTs+rziffAFX8MqO0yAP695Sh/+kStFr34iqH896WeqRFk+uwzTt7/AIrNRsjYsaT+43n0ffp45NreVH2qlC9feo5ju9Tq1mF9UnEwjZpqdQqsb0o4WbPSGHRhPFqt/OAQvZcEQkL0MB4NhBQFPv2dWjEa4PI/wOTfBFSNIIC3vi/k9x/uBeB/pg7il5d5ZvPU06tWcer//QWAiCumk7x0Kdrgrq868yan00He55+y6Y1XsFka0OoNhPWZgtV2ARqNjoQBkWTNSif9gr7dersPITxFAiEhepDPCj5jV9kuwEOB0NonGoMgDVyzDLIWdv2aHvbBD0U88J76me+cPID7Zgzr8i94xenk1F/+QsUrrwLQZ/58Eh56EI0usHNnTp8o5PN/Lqf4gJosH953IFb7JdjsMYRGBXHJLUMZdGGcBEBCnEECISF6AEVR+PsPf+el3Wpxv2n9pjEkuosbiX77v7Dpb+rjAA2C1uwp4bdv70RRYP6E/jx61Ygu/5J3WiycfOBBatasASD+vt8Rs2hRQAcPDruN7z98l63vvYnDbkcfFIwx8lJs9pFotRqGT0ri4jmDCQ4LrJwuIQKBBEI9hWyP3KudGQQtGrWIX439Vdd+cf/wGnz5e/Xx9McDMgg6WFrD4rfycDgVbs5K5clrR3U5WHGYTJz4n19Qt307GAwkP/UUUddc7aEee8fpokI+WfYXyo4fBSAibjhW6xQcjgii4oKZeutw+o2I8W8nhQhgEggJ0c3l7MlxB0EPZT/EvBHzunbBH/8DH/1SfTzpV2pOUIAxW+z8/P92UGd1MGlQX/7fnNEeSfg99fQz1G3fjjY8nNTnniNswngP9NZ7ivbv44Olf6ShtgZDcDiG0GlYbYPR6jSMvrwf468Z2OVd3oXo6SQQEqIb21W2i+U7lgOwOGtx14OgIxvgnUWgOGHsfLjiSQ/00rMUReGR93dz6FQt8RFGlv90LDoPBEFOqxXTZ58BkLJsWcAHQQe/28wnf1+Kw2YjOKIfinY2TiWM2NQwps0fQcKASH93UYhuQQIhIbqpBnsDj2x6BKfi5KqBV3HHqDu6dsGiXHhzHjisMPxquHp5wK0OA3h923E+yDuJTqvhuXkXEhdh9Mh1zRs34qypQZ+YSNikiR65prfs+Ow/fP3Kv0BRCAodjKKbhc4QxEWz0xl7ZRo6fWCVNhAikEkgJEQ39Y+8f3DUdJS4kDgeyn6oaxcrOwCv3QTWWhhwCcxZAbrA+/Gw+0Q1T3yklge4f8Ywsgd4Lvel+pNPAIicNStgd49XnE42vr6K7f95DwB9SCaaoGn0SQxn1n9fQExy99r0VYhAEHg/6YQQ51VrreWN/W8A8PsJvyfKGNX5i1UVwr+vh/oKSL4Qfvo6GAKvVk51nY3/eT0Xq8PJFSMT+K9LPLfTvaPWTO3X6wGIvOoqj13Xk+w2G5+/sIz9324AQB9yMTpjNv1GxDDjrlGyIkyITpJAqKcJwKkM4XlfHvuSBkcD6ZHpTO03tfMXMpfDv28AUxHEDoVb3wFjhMf66SmKovDbt3dSWFFPv5gQnr4506PL2WvXrUVpaCAoLY3gDC9sVNtFljozHz79Zwr37gKNFkPIleiMIxl1SQqTbxkiW2MI0QUSCAnRDX1w6AMArht8XecDAocN3rwVTh+EyFS47X0I6+u5TnrQvzYe4asfSwnSa3nh1iyiQjw7+uGeFrvqqoCrF1Rzupz3/t/jlB8/ikYbhD70avRB6Uz+yVBGTwv8/c6ECHQSCAnRzRSaCtlxagdajZZrBl7T+QutfRIKt4IxEm7/AKIC85fqtoIK/vp5PgB/uGYko1K6MA3YCntlJeZvNwMQeXVgTYuVHz/Ku//vcWpPl6PVhaEPvYHg8CRm3DWK/hmBGbQK0d1IICREN/PRkY8AmJA0gYSwhM5dJH8NbP5f9fF1z0FsF6tQe4nZYufeN3/A4VS4YWwK87L7e7yNms+/ALsd44gRGAd6Lu+oq078uIcP/vpHLHVmtLoY9GE3EJ2QwFW/yCQmSZKihfAUCYR6CCks3TsoisInR9RpnGsHXdu5i1QVwvv/rT4efzeMvM5DvfO8F9Yfpri6gX4xIfz5hq5Xjm6NqXFaLOqq2R6/dmdVnCxqCoL0yRjCriNlWBKz/vsCgsMlKVoIT+pWgVB6ejqRkZFotVr69OnD119/7e8uCeFTx0zHKKwpRK/VM63ftI5fwG6Fd+6Ahip1hdgVf/R4Hz3l+Ok6/vXNEQAemT2S0CDP/7iylZaq22kAkbMDIxCy1NXx4dN/wlJnRqNLxhA+h5EX9+fSecOkPpAQXtCtAiGAzZs3Ex4e7u9uCOEX3xR9A0BWQhahhtCOX2DtE3DiewiOgptXgj7Iwz30nD9/ug+r3cnFg/syI6OTU4DnYfr0M1AUQi68EENyslfa6AjF6eTT556moqgQNOEERVzDxTeNYMz0fgGXxC1ET9HtAiEherNNRZsAmJIypeNv3v8JbHlOfXzdP6BPuuc65mHfHirn872l6LQa/nBNhteCANe0WKAkSW9+53WO5G4DdASFX8tlt2UxcrL/AzQhejKPjbNu3LiRa665huTkZDQaDR988EGLc55//nnS09MJDg5m/PjxbNu2rUNtaDQaLr30Ui666CL+7//+z0M9F6J7qLPV8X3J90AnAqHKY/DBz9XHE34BIwJ3R3W7w8kT/9kLwG0T0hia4J26RtajR2nYswd0OiJnzvRKGx1x8LvNbH33TQAMoVdw6a1TJAgSwgc8NiJkNpvJzMxk0aJF3HjjjS1eX716NYsXL+bFF19k/PjxLFu2jBkzZpCfn098fDwAY8aMwW63t3jvF198QXJyMps2bSIlJYXi4mKmT5/OBRdcwOjRoz31EYQIaN+XfI/NaSM5LJkBUQPa/0Z3XlA1pIyD6Y97rY+e8H/fHedAaS19Qg38ZvpQr7VT/emnAIRNnIg+xnNbdXRG2fGjfPK/zwCgM17I5J9ew+hp/fzaJyF6C48FQrNmzWLWrFltvv7ss89y1113cccd6saQL774Ip988gk5OTk8+OCDAOTl5Z2zjZSUFACSkpKYPXs2O3bsaDMQslgsWCwW93OTydSRjyNEwHHlB01JndKxqaIvH1M3VA2ODvi8oEqzlWe/PADA4iuHERXqnRVSiqJg+kQNhPy9pUZ9bQ1v//FxHHYLWn1/Js65jQtnpPm1T0L0Jj5ZgmC1WsnNzWX69OlNDWu1TJ8+nS1btrTrGmazmZqaGgBqa2tZt24dGRkZbZ6/ZMkSoqKi3Ld+/XrJX1eST9kjfXnsSz46rNYPmpwyuf1v/PE/8N0L6uMbXoRoz9fh8aRnvsynut7G8MQIr9QMcrHk52M9fBhNUBARV0w//xu8xOlw8NYTT1JvKkejjeLCq/+b7GsH+60/QvRGPgmEysvLcTgcJCQ0X/mRkJBASUlJu65RWlrK5MmTyczMZMKECdx+++1cdNFFbZ7/0EMPUV1d7b4VFhZ26TMI4S//3PlPFq9fTL29nouTL25/IFRRAB/8Qn086ZcwrO0R20Cw76SJ1787DsDj12ag03ovqnclSYdfeik6P65C/fDZ5yk//iOgZ+TUu7jkp6NldZgQPtZtVo0NHDiQnTt3tvt8o9GI0Wj0Yo+E8L6cPTk8l6eu9Lpt5G0szlqMXtuOb1tFgXfvBEs19BsPl//Byz3tGkVRePLjvTgVuOqCJCYM9N72EYrTGRDTYhte+5Aj278AYMCFc5lx16USBAnhBz4JhGJjY9HpdJSWljY7XlpaSmJioi+60PNJaeke590D7/K33L8B8Jus37Bo1KL2v7niiJoXpDPCTTmgC+xqxJ/tKWHrkQqMei0PzR7u1bbMm7dgO3kSbXg44VMv9Wpbbcn7cjvb/5MDQPzAy7j+vp+g8eIImBCibT6ZGgsKCiIrK4u1a9e6jzmdTtauXcvEiRN90QUhupVDlYf409Y/AXDnqDs7FgQBFOep94mjAnYzVZcGm4M/f/IjAP996SBS+3SiUGQHVP773wBE3XgD2uBgr7bVmsO5R1mX8wzgILzvcOY9+Su0EgQJ4TceGxGqra3l0KFD7ucFBQXk5eURExND//79Wbx4MQsWLGDcuHFkZ2ezbNkyzGazexWZEELlVJw8ufVJ7IqdqalTuffCezt+keLGaeSkTM92zgte3XKUoqp6kqOC+fmlg7zalvXoUWo3bACNhphbb/VqW60pOniaj/62BMVZQ1BILLf9vz+gM3SbDAUheiSPfQdu376dadOa9j5avHgxAAsWLGDVqlXccsstlJWV8dhjj1FSUsKYMWNYs2ZNiwRqIXq7dw++yw+nfiBEH8IjEx7pXN5I8S71PsADIZvDycpvjwJw7/QhhATpvNpexeuvAxB+ySUEpfl2iXp9jZUP/vo8TlsRWp2Rnz7xBKGR3ikWKYRoP48FQlOnTkU5T57KPffcwz333OOpJoXocepsde68oF+O/SWJYZ3IoVOUbjMi9MmuYoqrG4gNN3L92BSvtuWoNVP93vsA9LntNq+2dTZFUfjsn9/SYFI3eJ11z2+J83EgJoRonWxlLEQA2Vq8lRprDclhycwdPrdzF6k+AfUVoNVD/EjPdtCDFEXhpcbd5RdMTMOo9+5oUPWHH+CsrSVowADCJvk2N3HXuhMc2/kp4CRp6AUMnzTJp+0LIdomgZAQAWR94XoApvWf1r5l8q1xjQbFjQB94JaQ2HLkNHtPmgg2aJk/wbujI4rTSeVr6v6Efebfikbrux99p46Z2PTWVpxWNSH8soUdTHwXQniVBEI9jNQh6b4cTgcbTmwAYGq/qZ2/UDeZFnv5mwIAbspKpU+Yd7f9MH+7GWtBAdrwcKKuu96rbZ3J2mDni5f3YjVvAmDI+ItJHDTEZ+0LIc5PAiEhAsTu8t1UNFQQYYggKyGr8xcqCfxE6UOnali3/xQaDdw5eaDX26t4TV0yHz3nRnThYV5vz2XjGweoLD6M03YYjUbLxbfM91nbQoj2kUBIiADhmhabnDIZg7aTBRBPH4bC79THARwIrdikjgZNH5HAgFjvBibWo0cxb9gIGg195s3zaltn2r+1mP1bi7HXq6NBGVOn0zell+x5KEQ3IoGQEAHCFQh1elosfw38axrUV6qbqwZoIFRea+HdHUUA3DXFB6NBriXzl17qsyXzVaV1bHjjAE77MZz2E+gMBibe1MnkdyGEV0kg1FPIDhvd2snakxyuPoxeo+filIs7foE978Kb85r2Flv0BRh8XzW5Pf695RhWu5PM1CguSu/j1bYctWaq330PgD7zfTMt5bA5+fzlPdga7GicWwAYc+VVRMbG+aR9IUTHSElTIQLAkWp1GXl6VDpRxqiOvXnv+/DuXaA4IHMuXPO/oPdu8nFnNdgc/HvrMQB+NmWg15P7qz/4AKfZTNDAgYRd7Jsl65vfP0R5YS067WHq6ooJCgkh+/qbfdK2EKLjJBASIgCcqDkBQGpEB/cFO/UjvH+3GgSNmQ/X/i9ovVuPpyve21FEhdlKSnQIs0Z5d8Nldcn8a0DjknkfrKgs2FXOrnUnUBQHWo2aqzXu6hsJjexgcCuE8BmZGhMiABTVqjkzqeEdCIRsDfDOnWBvgMHT4dq/B3QQ5HQqvLxJHfm64+J09Drv/vgxf/st1qNH0YaHE33ddV5tC6C20sK6V9RaQckDi6mtKCUkMoqsq7zfthCi8yQQEiIAuAOhjowIrX0STu2FsDi4/gXwYZHAzvg6/xRHysxEGPXccpH3V09Vvv4GANFz5qAN8+7KNKdT4cucvTSYbfRNDeZUwVcATLjhJwSFhHq1bSFE1wT2T04hegnX1FhKeDv326otg+9fUh9f9w8Ij/dSzzzHtZ3G3PH9iQjuZHmAdnLU1lK7SV22Hv0T7+fn5H52lJMHqzAYdaQMPI65soKI2DhGXzHb620LIbpGAqGeRgpLd0snahtzhNo7NbbjFXBYISULhl7pxZ55xp6iarYeqUCv1bBwUrrX2zN/8w3YbASlp2McNMirbZ08WMX3H6t1kSbN6ceutR+qj2++Fb3BuwGfEKLrJBASws+qLdXUWGsASA5PPv8bHHbYvlJ9nP1fXuyZ57hGg64anURydIjX26tZuw6A8Msv82o7DWYbX+bsRVFg2IREqou/paG2hpiUfoy8ZJpX2xZCeIYEQkL4mSs/KCY4hlBDO/JJDnwGphMQ2hdGXu/dznlASXUDn+wqBnxTQFGx2ajduBGAiMsv92pb339cQG2lhaj4EMbNiif3E3U0aPJPb0MbwInrQogmEggJ4WcdTpT+/mX1/sIFAVs08Uwf5hVhdypclN6HUSneX0Zet307TpMJXUwMIZneq65dcdLM7g3q/7tL5w1jx6fvYrM0kDh4KIMvmui1doUQniWBUE8hlaW7rQ4lSlcVwhF1h3qyFnqvUx70Yd5JAG4Y28EaSZ1U89VaAMIvm4ZG551RGUVR2PTOQRSnwoDMWCJjrOz88jMApsxd4JOaRUIIz5BASAg/61ANod1vAQqkT4E+vtk3qysOltawr9iEQafxegFFUAOUmnVqflDEZd6bFju2+zSF+yrQ6jVMmjOYzW+/jtNhp/8FY+g/KjD3eBNCtE4CISH8zL1i7HxTY4oCO99UH2f+1Mu98gzXaNClQ+PoE+b9bT8sP/6IvbgYTUgIYZO8Mz3lsDvZ9M5BADIv64e94RT7vvkagCk/vd0rbQohvEcCISH8rKhGHRE679TYyR+g/ADog2HEtT7oWdcoisKHO9XPdu2YdtZH6iLXarGwiyehDfZO/tSur09QfaqekMggxs1KZ9Pq10BRGDJ+EomDh3qlTSGE90ggJIQfORVn+5Ol815X74dfDcGRXu5Z1/1QWEVhRT2hQTqmj/BNwUdvT4vVmaxs/0StGTThuoFUFh/l8PataDRaLr7lNq+0KYTwLgmEegzJlu6OTtWdwua0odPoSAhNaP0khx2+erypknTmXJ/1rys+apwWu3JkAqFB3t/f2VZUhOXHH0GrJXzaVK+08d1/jmBtcBDXP4IRE5PY9dUaAIZNmkLfFO9vGyKE8DzZfV4IP9p7ei8AiWGJ6LWtfDtaauHNeVDQuFJs/M9hsHdr43iC3eHk411qIHSdj6fFQi4ci75PH49fv6ywhn2b1M80+SdDsFst7N+s/n+54LIZHm9PCOEbEgj1NLJst9t47+B7/HnrnwEYEz+m5QkN1fB/N0PhdxAUDtc9Bxk3+LaTnbT58GnKa630CTUweUisT9r05rSYoihseusgKDB4XDzJg6PZu2Et1vp6ohIS6TdylMfbFEL4hgRCQvjBcz88xz93/ROAqalTeXj8w81PsFvhtZvgxDYIjoLb3lf3FesmXKvFrhqdhEHn/Rl4R3U1dd9/D0CEF7bVOLyjjJMHq9AZtEy6cTAAe77+EoBRU69Ao5UsAyG6KwmEhPCxf+36lzsI+sWYX/Bfo/8LreasX6TrnmwKghb8B5K6T22aBpuDz/eWAHC9j6bFajduBIcD45DBBKV5tr6S3eZg83uHABh7ZX8iYoKpLC7ixI970Gi0ZFwa+FOVQoi2SSDUU0iudLfwVv5b/P2HvwPw26zfsnDUwpYnHVoLm9VzuO4f3SoIAli3/xS1Fjsp0SFc2N/zuTqtcW+y6oVpsbyvCqk53UB4HyMXXqkGWa7RoPTMsUT09c3UnxDCO2Q8VwgfKTQVsvT7pQD8T+b/tB4EWevgg5+rjy/6GYy42ncd9JAP81y1g5LRar2fs+a0WjG7N1n17LSYucpC7ppjAEy8YRAGow6nw8HejWrgNeqyKz3anhDC9yQQEsIHFEXhiS1P0OBoIDsxm7sz7279xD3vQm0pRPeHK//k2056QHWdja/3lwFw3Zhkn7RZt3Urzro69HFxBI/ybNLylg8OY7c4SBwYxZCL1PIGBXm5mCsrCImIZFBWtkfbE0L4ngRCQvjAB4c+4LuS7zDqjPxh4h/a3pRz+wr1ftydYAjxXQc9ZM3eYqwOJ8MSIhie6Juij03TYpd5NGm5pKCa/K1qrtPknwxx/z/b8/UXAIy8ZBo6vcFj7Qkh/EMCISG8TFEUns97HoB7xtxD/8j+rZ9YtEPdRkMXBGPn+7CHnuNaLXatj0aDFKeTWteyeQ9Oi7mXywPDJySSkK4GdeaqSo7sUFenjZom02JC9AQSCAnhZfsq9lFaV0qoPpS5I85RFdo1GjTyegjrfgm4paYGthw5DcC1mb4JhBr27MFeVoY2NJTQCRM8dt0D20opLTBhMOqYcMMg9/F933yN0+EgafAwYvt5dnWaEMI/ulUg9Le//Y2MjAxGjhzJr371KxRFlkq5yL9E4FpfuB6AScmTMOqMrZ9UXwW731UfX3SnL7rlcf/ZeRJFgay0PvSLCfVJm+5NVqdMQRvkmd3tbRYHW94/DEDWrDTCotT/Z4qisGedOi02atoVHmlLCOF/3SYQKisr47nnniM3N5fdu3eTm5vL1q1b/d2twCOFpQOOKxCa2m9q2yflfwr2eogbDv3G+6JbHvfRTnVa7HofTYsBmL/9FoCIy6Z57Jo7Pj+GucpCZGwwmZc37R9WfHA/FSdPoDcaGTbpEo+1J4Twr25VR8hut9PQ0ACAzWYjPt43O1oL0VnFtcXsr9iPVqNlSuqUtk/c+4F6n3Fjt9wm5UhZLbtOVKPTaph9QZJP2nQ2NNCwfz8AIVnjPHJN0+l6fvjyOACT5gxGb9C5X9u9Tq0dNGzCZIyhvhnxEkJ4n8dGhDZu3Mg111xDcnIyGo2GDz74oMU5zz//POnp6QQHBzN+/Hi2bdvW7uvHxcXxu9/9jv79+5OcnMz06dMZNGjQ+d8ohB9tOKFuypkZl0lMcEzrJ9VXwWF1ioeM633SL09zjQZNGRJL3/A2pv88rGHfPrDb0cXGYkjxzCjUD18cx2FzkjIsmoFj4tzHrQ315G/5BpBpMSF6Go8FQmazmczMTJ5//vlWX1+9ejWLFy/mD3/4Azt27CAzM5MZM2Zw6tQp9zljxoxh1KhRLW4nT56ksrKSjz/+mKNHj1JUVMTmzZvZ2FhETYhA1a5psQNrwGlTp8XihvmiWx6lKAof5bl2mvfdtFj9zl0AhGRmtl2OoIMK91UAMOby/s2umb/lG2wN9fRJSiZleIZH2hJCBAaPTY3NmjWLWbNmtfn6s88+y1133cUdd9wBwIsvvsgnn3xCTk4ODz74IAB5eXltvv/tt99m8ODBxMSof1VfddVVbN26lUsuaX2u3mKxYLFY3M9NJlNHP1L3ItnSAafeXs+2EnXU85yBkGtabOT13u6SV+wpMnGk3EywQcsVIxN91m79zp2AGgh5Qk1FA9Vl9Wi0GpKHRDd7bc/XXwGQMfUKjwVdQojA4JNkaavVSm5uLtOnT29qWKtl+vTpbNmypV3X6NevH5s3b6ahoQGHw8H69esZNqztv56XLFlCVFSU+9avX782z+1R5Gd0wCirK8PmtBGiD2FA5IDWT2qohsNr1ccjr/Nd5zxo40G1kvSlQ+MIN/ou7dDTgdCJ/ZUAxKdFEBTS9DlOFxVyMn8fGq1ssCpET+STQKi8vByHw0FCQkKz4wkJCZSUlLTrGhMmTGD27NmMHTuW0aNHM2jQIK699to2z3/ooYeorq523woLC7v0GYToqBpbDQARQRGtjyJUHoNXrwOHFWKHQvwIH/fQM3KPqQFE9oC+PmvTVlqKvbgYtFpCRnlmqqooX/0cqcOabxTr2mB1wNhxhPdpI89LCNFtdatVY3/+85/585//3K5zjUYjRqNvkjaFaE2ttRaACENEyxePfgtvzoOGKgjpA1cv65arxZxOhR3H1QAiK803O81D02iQcehQtGFhXb6eoiicaAyEUoY3fQ6H3c4+1warkiQtRI/kk0AoNjYWnU5HaWlps+OlpaUkJvoup0AIX6qxqiNC4UHhzV84+i38301gq4PkC+Enr6ibrHZDR8rNVNXZCDZoyUj2zd5i4PlpsepT9ZirLOj0WpIGRrmPF/ywnbrqKkKjohk49iKPtCWECCw+mRoLCgoiKyuLtWvXuo85nU7Wrl3LxIkTfdGFXkCypQNNq4FQ4Tb4v5vVIGjgNLjj024bBAHkHlNXWY1Ojcag8119VncgNHq0R653Yr/6ORIHRaIPOqN2kHuD1cvQ6bvVALoQop089p1dW1vLoUOH3M8LCgrIy8sjJiaG/v37s3jxYhYsWMC4cePIzs5m2bJlmM1m9yoy4Sndb3qlp6q1qVNjkYbGkZIGE7x9B9jMMHAqzH2jW+4wfyZXfpAvp8UUm42GPXsBCBnjoUTpVvKDaisrKPhhOyDTYkL0ZB4LhLZv3860aU1l7hcvXgzAggULWLVqFbfccgtlZWU89thjlJSUMGbMGNasWdMigVqInsKVI+QeEfriETCdgD7pcMv/dfsgCJoCoXE+DIQaDhxAaWhAGxFB0IA2VuN1gOJUKMqvAiBlWFMy9L6N61CcTpKHjqBvSi9ZdSpEL+SxQGjq1Knn3QT1nnvu4Z577vFUk0IENJNVrV0VHhQOh76CHa+qL1z3PBjDz/HO7qHSbOVwmRmAsf19nygdMno0Gm3Xp+PKi2ppMNswGHXEp6uJ7YqiuFeLjbpMRoOE6Mm6zaarQnQ3TVNjEfCZWjSU8XdD+mQ/9spzXKvFBsaFERPmmZ3f26PhjIrSnuBaNp88JBpdY55T0f69VBYXYTAGM2ziOfaIE0J0exII9RSSKx1w3FNj9dVw+iDog2HaI37ulef4Y1oMzhgR8nB+UMoZ+UGuStLDJk0hKLj7T2EKIdomgZAQXuJeNVb6o3pg8HQI9t0Sc2/b7odEaXtlJdajRwEIvuCCLl/P4XBy8kAV0JQobamrI3+ra4PVK7vchhAisEkg1NPIorGA4aosHXlCXXlExg1+7I1n2RxOdhZWAb4NhBp27wYgKD0dfZ+ut1t2rAabxYExTE9sqpq3lb9lI3aLhZjkVJKHDu9yG0KIwCaBkBBe4p4aqy4GnRGGzvBzjzxn30kTFruT6FADA2N9l/hdn+ed/cVSh/ZBo1X/imhKkr5SNlgVoheQQEgIL3ElS4c7nTDkCjC2stVGN+WaFruwfx+0Wt8FC97ODzp94jjFB/PR6nSMnDLtXG8VQvQQEgj1FJIsHVAURXEvn49wOmHk9f7tkIft8EchRaeT+l2eWzFmtzkoOVwNQGrj/mKufcUGXngRYdG+TQIXQviHBEJCeIHFYcHutAMQga5HTYspisL2xq01fBkIWQsKcNbUoAkOxjh0aJevV3K4GofdSWhUENEJoQCUnzgOQHrmhV2+vhCie5BAqIeRjIbA4JoW0ygKoTEDe9RqsaKqekpNFnRaDZmp0T5r150fNGoUGg/s++XeVmN4H3cuUE3ZKQAi46TivRC9hQRCQniBu6q0U0EbN8zPvfEsV/2gjORIQs7YoNTb3NNiHsoPKmplfzFTeRkAkbHxHmlDCBH4JBASwgtcK8YinE6I7VmBkD/yg6ApUTrYA/lB1no7pUfV8gYp7vpBZix16pYhkbFxXW5DCNE9SCAkhBe4l847ndDDRoT8UUjRaTZjOXAAgJDRXQ+ETh6qQnEqRMYGE9lXrRztGg0KjojEEBzc5TaEEN2DBEJCeIG7qrTihNiuJ/YGCrPFzo/F6rSfLwOh+j17welEn5SEIaHr01ZN+UFNu82bXPlBMhokRK8igVBPI9nSAaGm9iQAkQ4FYof4uTees7OwCqcCKdEhJEX5bg8ud/0gD2+02jw/SAIhIXojCYSE8ILaqqMAhOtDwNBzNu10F1L010arHgiEaisbKC9Upy7P3Gi1aURIEqWF6E0kEBLCC2pMJwAID472b0c8zLViLKt/tM/aVBTFo4HQ3m/U0brkIdGERga5j9e4VozFSSAkRG8igZAQXlBjLgUgIrTnTLM4nQo7jquB0Lj0mPOc7Tm2opM4ysvBYCB45IguXcthc7L3myIALpia2uw119RYhEyNCdGrSCDUUyiyx0Ygqa0/DUBERLKfe+I5B0/VUtNgJ8SgY3ii7/ZNq9+ZB0Dw8OFou7ia6/APp6ivsREWFcSAMbHNXpMaQkL0ThII9TiSLR0I3KvGovr7uSee45oWG9MvGr3Odz86Gjy4v9ju9eqUZcYlKejO+Ax2mw1zpbptiEyNCdG7SCAkhKdZaqh1WACI6DPQz53xHFcgNC7dx4nSeZ7JDzp1zETJERNanYaRk5uP1NWeLgdAH2QkJKLnbIcihDg/CYSE8LTyA9Ro1W+tiPAkP3fGc3IbN1r15YoxxeGgYf9+AEJGX9Cla+3eoOYGDbownrAoY7PXzswPcu07JoToHSQQEsKTSvfCB/9DbWMgFB4U7ucOeUZ5rYWjp+sAuLCf7wIhW3ExisWCJigIQ2rq+d/QhoZaGwe3qQnso6e1vI4UUxSi95JASAhP2f0OvHQZlO2nRqduRhph8F1SsTe59hcbmhBOVKjBZ+1aC44CEJTWH42u8xu87vv2JA67k7j+ESQMaDn1ZZKl80L0WhII9TQyqu8fO/4N7/4M7A0ogy6nVtsYCAX1jEAo97h/Nlq1FhQAEJQ+oNPXcDoV9mx0LZlPaXXqy11Vuq+MCAnR20ggJERXbV8JH90DKDDuTup+8gpOnEDPmRrLPdpYUbq/jwOho65AKL3T1zi25zQ1pxswhukZMi6h1XNqXIGQjAgJ0etIICREV5zIhU9+qz6e8D9w1TPU2M0A6DV6gnXdfxdzi93BrqJqwLeFFAGsR48CEDSg8yNCriXzIyclow9qfXpNaggJ0XtJICREZ9nq4f3/BsUBo+bAjKdAo3HXEIoIiugRK5D2njRhtTuJCQsivW+oT9u2uHKEBqR36v2VJWYK91WABkZdmtLqOYrT6d5eQ6pKC9H7SCDUU0hhad/76gk4fRDCE2H209AY9NTa1A09e+K0mC8DO2ddHfbiYqDzU2N7GpfMp18QS2Rs65vfmqurcNjtaDRawmP6dqodIUT3JYGQEJ1xMg++e0F9fN1zENo0ZeSuKm3oIYGQnwopWo8dA0AXHY2+T8fbtjbY2b9FDaQumNr6aBA0LZ0Pj+mLTq/vRE+FEN2ZfNcL0Rm731bvR14HQ64AwO6081nBZ7y0+yUAIoN6RoXinSeqABjbL9qn7XY1P+jAdyVYGxxEJ4TSb3jbuU01p2VaTIjeTAIhITpKUWDfR+rjC24GYMvJLfz1+79yqOoQoNYPumX4Lf7qocdU19korm4AYESybwM7S0HnV4wpStOS+VGXpqDRtj2lJ8UUhejdJBASoqOKd0L1cTCEUpFyIX/8+jd8dfwrAKKMUSzMWMgtw27pETWE8kvVab6U6BAig31XSBHOKKbYiRGhU0drOF1kRmfQMnxC4jnPNcnSeSF6NQmEhOioH9XRoI0Dsnnss1s53XAavUbPT4f/lLsz7ybKGOXnDnpOfokJgGGJvg/qmqbG0jv83n2b1NGgwRfGYzxPJWxZOi9E7xaQydI33HADffr04aabburQa0L4xI//YVVkBL+wHeF0w2kGRw/mzavf5IHsB3pUEASwv0QdEfJ1IKQoiruqtLGDU2PWBjsHtqujPCMnn3/T2xqZGhOiVwvIQOjee+/l1Vdf7fBrAtliw8uU0h9Z7ijlmb7qKqZbht3Cm1e/ybCYYX7umXfkuwKhBN8GQo7ycpy1taDVYkhL69B7D+Wewm5xEBUfQtLg6POeL/uMCdG7BWQgNHXqVCIiWv/Be67XhPC25Vue5OVoddTn1xf+mkcnPIpRZ/Rzr7xDURR3jpCvR4Rc02KGlBS0QUEdeu++TScBGHlx8nnrHlnqzFjq1ErgsmpMiN6pw4HQxo0bueaaa0hOVn/IfPDBBy3Oef7550lPTyc4OJjx48ezbds2T/RVCL/65sQ3rKjeA8DvE6Zx5wV3+rlH3lVc3UBNgx29VsOgON/WROrsirHTRbWUFpjQajUMO0+SNDSNBgWHRxAU3HrBRSFEz9bhZGmz2UxmZiaLFi3ixhtvbPH66tWrWbx4MS+++CLjx49n2bJlzJgxg/z8fOLj1aHnMWPGYLfbW7z3iy++IDk5uRMfoyWLxYLFYnE/N5lMHrluoFIUKS3tTWV1ZTz67aMA/NRUw0/GTfNzj7zPNS02MC6MIL1vB4+tndxa48dv1QKK6aNjCYs6/0hd09J5mRYTorfqcCA0a9YsZs2a1ebrzz77LHfddRd33HEHAC+++CKffPIJOTk5PPjggwDk5eV1rrcdsGTJEp544gmvtyN6PkVReGTTI1Q0VDDUqeV3FZUQ3LOSolvTlCjt+8KQrqkxYweWzjtsTvZ/pwZCIy4+f5I0nLl0XqbFhOitPPpnntVqJTc3l+nTpzc1oNUyffp0tmzZ4smmzuuhhx6iurrafSssLPRp+6Ln2FW+iy3FWzDqjCw1OTAqQA9bHdYa19L54f5YOt+JqbEjO8uwmO2ERRvpn9G+PcNks1UhhEfrCJWXl+NwOEhISGh2PCEhgf3797f7OtOnT2fnzp2YzWZSU1N5++23mThx4nlfO5PRaMRo7JlJrMK3Pj78MQDT06YzsPB19WAvGhEa6uMVY4rNhvXECaBjxRRdSdIjJiWhPUcl6TPJ1JgQIiALKn711Vedek0IT7M5bKw5ugaAawZcBWtfVF8I7hn7iLXF5nByuKwW8P2IkPXECbDb0YSEoD/rj6q2VJfVc2J/JWjUQKi9pKq0EMKjU2OxsbHodDpKS0ubHS8tLSUx8fwrOIQINN+e/JYqSxV9g/syPmYk0JiUbuzZgVBBuRmbQyEsSEdKtG9XU7kTpdPTz7v83eXHzepoUL/hfYiMbX9/paq0EMKjgVBQUBBZWVmsXbvWfczpdLJ27dpWp6+ECHT/OfwfAGYPnI3eqtabQWcEQ7Afe+V9rhVjQxMj2j3N5CnuitLtXDHmdDjZv1lNkh45OaXd7dhtNsyVFYBUlRaiN+vw1FhtbS2HDh1yPy8oKCAvL4+YmBj69+/P4sWLWbBgAePGjSM7O5tly5ZhNpvdq8iEl7XzL2hxfjXWGtYXrgfg6oFXQ0NjCYZekB/kCoT8kijt2mMsvX35Qcf3VmCuthIcbmDA6Nh2t1N7uhwAfZCRkMie//9UCNG6DgdC27dvZ9q0phoqixcvBmDBggWsWrWKW265hbKyMh577DFKSkoYM2YMa9asaZFALUSg++rYV1idVgZFDWJEzAg4tll9oYfnB8EZS+d9nCgNZ6wYa+eI0L5v1WmxYRMS0RnaP8jtyg+KiI1r9xScEKLn6XAgNHXq1PMW77vnnnu45557Ot0pIQLBoSp15PPilIvVX5SWXjQiVKp+1qF+GBGydGBEyFxt4eju0wCMnNSxYqxN+UEyLSZEbxaQe40JEQiqLdUAxATHqAca1Oc9PVG61mKnsKIegOE+LqboqKnBUa5OWbVnRGj/lmIUp0LiwChiksM61JZJdp0XQiCBUM8hO2x4XLVVDXyiXMUTe0mO0IHGjVbjIozEhHVsw9OucuUH6eJi0YWfe38zRVHI31oCtL+S9JncS+dlxZgQvZoEQkK0wdQ4FdYUCDWOCPXwHKED/kyUdq0Ya8e0WPmJWipL6tDptQy+sOPBTM0ZOUJCiN5LAiEh2uCaGosKagyELK5AqGePCPk1UdqVH9SOitIHv1frlaVd0JegkI7XhnXnCEkxRSF6NQmEhGiDa2os0pUT5M4R6tmBUL57s1U/JEq3c48xRVE4uF0NhIaM6/iKVMXpdO8zJlNjQvRuEggJ0QpFUVqOCDX0/BEhRVHIL3VNjflh13lXVenzJEqXHDFRW2HBYNSRfkH7Nlg9k7m6CofdjkajJTym4+8XQvQcEggJ0Yp6ez02pw1oLVm65+YIldVaqDBb0WhgcPy5k5U9TXE63VNjxvNMjbmmxQaMiUUfpOtwW67RoLCYGHT6gNxyUQjhIxII9TBSF84zTFY16NFr9YToG/eu6gUjQq5psfS+YYR0IsDoCntpKUpDA+j1GFLa3irD6XByKLfz02IgK8aEEE0kEBKiFWdOi7mrDrsKKvbgOkL5gVBRul8/NAZDm+cVHaiivsZGcJiBfiNjOtWW1BASQrhIICREK9yB0JmJ0b1oRMividLtnBYbdGEcOl3nfoQ1jQhJICREbyeBkBCtaFFMEXpFjlBTorQ/ls4fA869Ysxhc3L4BzW/p7PTYiBL54UQTSQQ6inOs/+b6JgWK8ZsDeCwqI976IiQw6m4q0r7Y0SoPZutHtt7Gmu9nbCoIJKGRHe6rZoyyRESQqgkEBKiFa5AyF1DyJUfhAaCfB8k+MLxijoabE6Mei1pfTu2b5cnuKtKn2NqzFU7aPC4BLTazq8McI0ISVVpIYSsGxWiFS33GTtjw1Vtz/z7Ib9EDfaGJISj60KQ0RlOiwXbyZNA21NjNouDo7vUDVmHXNT5aTFLnRlLnRmQHCFvcjqdWK1Wf3dDdBNBQUFo/fSzVQIhIVrh3mcsqPfUEMovqQVgWIIfCikeOwaKgjYiAl3f1gscFuwqw251EhkXQnxa50flKovVgCs0KpqgkNBOX0e0zWq1UlBQgNPp9HdXRDeh1WoZMGAAQUG+3egZJBASolUtVo01VKn3PTQ/CCC/VA32/LPZ6lFAXTGmaaMY1sHv1byeIePi2zynPSpOngAgJjm109cQbVMUheLiYnQ6Hf369fPbX/mi+3A6nZw8eZLi4mL69+/fpe/vzpBASIhWtJga6wU1hPb7cem8e7PV9LRWX28w2zi+9zTQtWkxgIoiCYS8yW63U1dXR3JyMqGhMuIm2icuLo6TJ09it9sxnKOOmDdIqC5EK3rbPmMNNgdHy9W8Gf+MCJ07UfpIXhlOh0LflDD6Jndt649K14hQigRC3uBwOAD8MsUhui/X14vr68eXJBDqaWSPDY9oOTXWs3OEDp2qxalAn1ADcRFGn7dvPU8xRVcRxa6OBoFMjfmKr6c3RPfmz68XCYSEaIVrrzH38vkePiLkmhYbmhDhlx9ITVNj6S1eM1dbKMqvBGBwVtcCIafTQWVxESAjQkIIlQRCQpzF6rBSb68Hek+OkGvpvD+mxeyVlTiq1UAzKK1ljtCh3FMoCiQMiCQqLqRLbZlOncJht6MzGKSGkBACkECo55DC0h7jGg3SarSEGxrzUXr4iFB+aePS+UQ/LJ1vnBbTJyehDWkZ6Bza3rWd5s/kmhbrk5SCVqvr8vVEz7Fw4UI0Gk2L28yZM1ucu2TJEnQ6HUuXLm3x2qpVq1q9zssvv9yufjz++ONttrt06VI0Gg1Tp04FID09vdW2XLeFCxd26N8AoLi4mHnz5jF06FC0Wi2//vWvW5yzd+9e5syZ425/2bJlHW4nkMiqMSHO4q4qHRSJVtP4t0IPzxFyjQj5esWYs6GBqrfeBsDYyrRYnclKyRG1b4Ozur4dhuQHiXOZOXMmK1eubHbMaGyZM5eTk8P9999PTk4O9913X4vXIyMjyc/Pb3YsKqr9f0QlJSXx9ddfc+LECVJTm75Wc3Jy6N+/v/v5999/704u3rx5M3PmzCE/P5/ISPXnVEgrf1icj8ViIS4ujkcffZS//e1vrZ5TV1fHwIEDufnmm/nNb37T4TYCjQRCQpylt+08X1VnpdSk7qPmy0CoPi+Pkw897B4Rirzq6hbnFO5Tl8zH9gsnLLrrSdwVsmJMnIPRaCQxMfGc52zYsIH6+nqefPJJXn31VTZv3sykSZOanaPRaM57nXOJj48nKyuLV155hUceeQRQA53y8nJuvvlm9u3bB6hLzl1iYmLc742Oju502+np6SxfvhxQA6/WXHTRRVx00UUAPPjgg51uK1DI1JgQZ2mxdB56dI6QK1E6tU8I4Ubv/23ktFg49cwzHJ13K9aCAvTx8fT754tEz7mxxbnH9lYA0D+j9WrTHSU1hHxPURTqrHa/3BQvbEa9YsUK5s6di8FgYO7cuaxYsaLd712/fj0ajYajjYsDzmXRokWsWrXK/TwnJ4dbb721U2UJMjIyCA8Pb/M2a9asDl+zJ5ERISHO4iqmGHlm0OMeEYr2fYe8LN9VSDHB+6NB9bv3cPKhB7EeOgxA1HXXkvDww+hamTZwOhUK96mBUJqnAiGZGvO5epuDkY997pe29z05g9Cg9v+a+/jjjwkPb16n6uGHH+bhhx8GwGQy8c4777BlyxYA5s+fz5QpU1i+fHmz91VXVzd7Hh4eTklJCaGhoQwbNqxdBQOvvvpq7r77bjZu3EhWVhZvvfUWmzZtanOU5lw+/fRTbDZbm693ZgqtJ5FASIiztD411nNzhHxRUVqxWil74QVO/+slcDjQ9e1L0pNPEHH55W2+p+xYDQ1mG0HBOhIGdv3fvb62hnqT+v+2T3JKl68nep5p06bxwgsvNDvmmnICeOONNxg0aBCZmZkAjBkzhrS0NFavXs2dd97pPi8iIoIdO3a4n7u2GcnOzmb//v3t6ovBYGD+/PmsXLmSI0eOMHToUEaPHt2pz5XWympM0UQCISHO0mJqzOlsmhrrgTlCB0q9Gwg5ams5fvsCGhrzGiJnzyLh979H36fPOd93vDE/KHVEDDpd12fxXRWlw/vGEhTcu/8C9qUQg459T87wW9sdERYWxuDBg9t8fcWKFezduxe9vulXp9PpJCcnp1kgpNVqz3md9lq0aBHjx49nz549LFq0qNPXycjI4NixY22+PmXKFD777LNOX7+7k0Cop5Firl3mWj7vHhHK/wR3fYIeliOkKAoHGkeEhntp6Xzl62/QsG8fuqgoEp94nMhWlgW3xrW3mMemxSQ/yC80Gk2HpqcC1e7du9m+fTvr169vNkpUUVHB1KlT2b9/P8OHD/domxkZGWRkZLBr1y7mzZvX6evI1Ni5df+vTiE8zD0ipAuGj34JO15VXxh0ORiC/dgzzyuqqqfGYseg0zAwLszj13darVT++98AxD/4YLuDoAazjdICNSDtNzLmPGe3j+QHifOxWCyUlJQ0O6bX64mNjWXFihVkZ2dzySWXtHjfRRddxIoVK1qtK3Smbdu2cfvtt7N27VpSUto3Pbtu3TpsNluXVoJ1dGosLy8PgNraWsrKysjLyyMoKIiRI0cCYLVa3SvXrFYrRUVF5OXlER4e7pGRMF+TQEiIs7jrCG17GQr3AhqY+Au47Pf+7ZgXuBKlB8WFY/DA9NPZTB9/gr2sDH18PFFXzW73+wp/rEBRICY5jIgYzwSfTYGQ5AeJ1q1Zs4akpKRmx4YNG8auXbt47bXXeOCBB1p935w5c3jmmWd46qmnznn9uro68vPzzzk6c7awMM//gXI+Y8eOdT/Ozc3l9ddfJy0tzb3a7eTJk83Oefrpp3n66ae59NJLWb9+vY9723USCAlxluq6MgCiyg9DSB/4yaswoOVfgT3BmXuMeZqiKFSsVFe4xNx+G5oOLPt1TYt5atk8QMXJxj3Gkvt57Jqi51i1alWz5epnKy8vb/O1+++/n/vvvx9QK1S3VdF56tSp513S//jjj/P444+3+XpbVZzbc+32Ot910tPTvVKawF8Cso7QDTfcQJ8+fbjppptafb2uro60tDR+97vf+bhnAaznfE36V30l1RWHAIgK6QuLPu+xQZCiKOw4pm5m6o1EafM332A5eAhtaCjRP/lJh/p13F0/yDPTYg67nerSYkCKKQohmgvIQOjee+/l1VdfbfP1P//5z0yYMMGHPepGJFm68xQFPvoVJpwARM3Jgbhhfu6U9zz75QHW7j8FwMRBnht5cTmdo25VEP2Tn6CLbH8idvmJWupMVvRBWpIHRXukL1WlxTgdDgzGYMJjPP9ZhRDdV0AGQlOnTiUiovW/UA8ePMj+/ft7fSVM4QW5q7D/+BE1jbkyUX17bhD0v2sP8vd16sjXH64ZyYX9z72UvaPq9+6lbutW0OmIuf22Dr3XNS2WOqwPOoNnfkSdubWGRiN/LQghmnT4p8zGjRu55pprSE5ORqPR8MEHH7Q45/nnnyc9PZ3g4GDGjx/Ptm3bPNFXAH73u9+xZMkSj11PCADKDsCah9ACH/SfwyszXyEyqGctlXf5x/pDPPvlAQAemT2COy4e4PE2KhpHgyJnzcKQnNyh9x738LYa0LR0vk+SJEoLIZrrcLK02WwmMzOTRYsWceONLfcGWr16NYsXL+bFF19k/PjxLFu2jBkzZpCfn098vLp79JgxY7Db7S3e+8UXX5B8jh+aH374IUOHDmXo0KFs3rz5nP20WCxYLBb3c5PJ1N6PKHqjLc+BvR7twKkMuvQx0AbkYGmXvfzNEf66Rt0V+74Zw7jrkoEeb8NWVIRpzRoA+i66o0PvtdbbKTmsrtrzZCBU6UqUlvwgIcRZOhwIzZo165zTUs8++yx33XUXd9yh/gB88cUX+eSTT8jJyXHvUuuqUdBRW7du5c033+Ttt9+mtrYWm81GZGQkjz32WItzlyxZwhNPPNGpdrqjnpTB73MOG/z4kfp48m96bBC06tsC/vTJjwD8ZvpQfjHNO/U+Kl79NzgchE6cQHBj3ZH2OrG/EqdTISo+hKg4zxV5qzhZCMiKMSFESx79iW+1WsnNzWX69OlNDWi1TJ8+3b1JXVcsWbKEwsJCjh49ytNPP81dd93VahAE8NBDD1FdXe2+FRYWdrn97kHyHzrsyHqor4SweEif4u/eeMVrW4/x+H/UAmj3TBvMry73ThDkMJmoevttAPp2YkuAY/s8W00aGpfxn5EjJIQQZ/JoHaHy8nIcDgcJCQnNjickJLR7ozmA6dOns3PnTsxmM6mpqbz99ttMnDixQ30xGo0YjcYOvUf0UnveVe8zrgdtx/Ym6g5Wf3+cRz/YA8B/XzqQ31451GsJw5WrV+Osq8M4ZAhhkyd36L2KonB8j+frB9VVV2Exm0GjoU9ix/KVhBA9X0AWVPzqq6/Oe05bBauE6BBbA/z4sfp41Bz/9sUL3s09wYPv7QZg0cUDeHDmcK8FQYrVSuWr6nYaMXfc0eF2KovrqK20oNNrSR4a7bF+ufKDouLi0XegqKMQonfw6NRYbGwsOp2O0tLSZsdLS0tJTEz0ZFNCeMahr8BaA5GpkJrt79541Id5Rdz3zk4UBW6fmMbvrx7h1aXj1Z982rSdxtVXdfj9rt3mU4ZGYwjy3Mic7DEmhDgXjwZCQUFBZGVlsXbtWvcxp9PJ2rVrOzy1JYRPuKbFRt3Qo5Kkc49VsPitnTgVmJvdn8evyfBqEKQoChU56nYafW6b36HtNFyOeWFaDM5IlJb8IHEOCxcuRKPRtLjNbGWj4CVLlqDT6VrdZHXVqlWtXufll19uVz8ef/zxNttdunQpGo2GqVOnAupWF6215bp1Zubkvffe44orriAuLo7IyEgmTpzI559/3ub5/+///T80Gg2//vWvO9xWoOjw1FhtbS2HDh1yPy8oKCAvL4+YmBj69+/P4sWLWbBgAePGjSM7O5tly5ZhNpvdq8iEl0mudPspChxo/AbPuMG/ffGwzNRorh6dhEGn5c/Xj0Kr9e4XhnnTJiwHD6INDaXPLbd0+P02i4OTh6oAz22r4eKqISQrxsT5zJw5k5UrVzY71lquaU5ODvfffz85OTncd999LV6PjIwkPz+/2bGoqKh29yMpKYmvv/6aEydOkJraFMDn5OTQv39/9/Pvv/8eh8MBwObNm5kzZw75+flENlZyDwnp+MrLjRs3csUVV/DUU08RHR3NypUrueaaa/juu++abbTqav+f//wno0eP7nA7gaTDgdD27duZNm2a+/nixYsBWLBgAatWreKWW26hrKyMxx57jJKSEsaMGcOaNWtaJFAL4Xf2BrCZ1cexQ/3bFw/T67Q8+5MxAF4PggBON44GRd98U4e203ApOlCJ064Q0TeY6IRQj/ZNpsZEexmNxvOmcWzYsIH6+nqefPJJXn31VTZv3sykSZOanaPRaLqUDhIfH09WVhavvPIKjzzyCKAGOuXl5dx8883s26euAI2Li3O/JyYmxv3e6OjoTrd99qauTz31FB9++CH/+c9/mgVCtbW13Hrrrbz00kv86U9/6nR7gaDDcwGuHW7Pvp25a+8999zDsWPHsFgsfPfdd4wfP96TfRbCM+wNTY/1nqtZEyh0Wg06HwRBDfv2UbfFtZ3G7Z26xpmrxTw5hWe3WqkuU/dT65MsVaX9QlHAavbPzQv11VasWMHcuXMxGAzMnTuXFStWtPu969evR6PRcPTo0fOeu2jRoma/V3Nycrj11lsJ6sS0c0ZGBuHh4W3ezlUb0Ol0UlNT4w60XH7xi19w1VVXNSuX010F5KoxIXzC3lh5XKMDnXwrdJa5scp75MyZGFI6F2wc29e4rcZIz06LVZacBEXBGBZGaFS0R68t2slWB0/5qWzBwychKKzdp3/88ceEh4c3v8TDD/Pwww8D6g4F77zzjrsu3vz585kyZQrLly9v9r7q6upmz8PDwykpKSE0NJRhw4ZhMBjO25err76au+++m40bN5KVlcVbb73Fpk2byGkcfe2ITz/9FJvN1ubr55pCe/rpp6mtreUnP/mJ+9ibb77Jjh07+P777zvcl0AkP/17Ciks3XG2evXe0PNGg3yp789+RtiUKWg7Wber6lQdprJ6tDoNqcM9u/lrU36QbLYqzm/atGm88MILzY6dORLyxhtvMGjQIDIzMwF1u6i0tDRWr17NnXfe6T4vIiKCHTt2uJ9rGxdiZGdnt7umnsFgYP78+axcuZIjR44wdOjQTufipKWldep9r7/+Ok888QQffvihe4uswsJC7r33Xr788kuCg4M7dd1AI4GQ6L1cI0J6KbzZVcHDhnX6vYWNo0FJg6IICvbsjyTZWiMAGELVkRl/td0BYWFhDB7cdtX1FStWsHfvXvT6pq9Tp9NJTk5Os0BIq9We8zrttWjRIsaPH8+ePXtY1IlK7S4ZGRkcO3aszdenTJnCZ5991uzYm2++yc9+9jPefvvtZtNfubm5nDp1igsvvNB9zOFwsHHjRp577jksFgs6XfcqTCuBkOi97I0jQvqe8VdNd1V0oBKA1OGenRYD2Ww1IGg0HZqeClS7d+9m+/btrF+/vtkoUUVFBVOnTmX//v0MHz7co21mZGSQkZHBrl27mDdvXqev09GpsTfeeINFixbx5ptvctVVzWuCXX755ezevbvZsTvuuIPhw4fzwAMPdLsgCCQQEr2Ze0RIAiF/URSFkwerADxaTdrFtWJMEqVFe1gsFkpKSpod0+v1xMbGsmLFCrKzs7nkkktavO+iiy5ixYoVrdYVOtO2bdu4/fbbWbt2LSntzKdbt24dNputSyvBOjI19vrrr7NgwQKWL1/O+PHj3f8eISEhREVFERERwahRo5q9JywsjL59+7Y43l30nApyQnSUa9WYBEJ+U1lcR32NDZ1BS0Jax5fdn4uiKM1yhIQ4nzVr1pCUlNTsNnnyZKxWK6+99hpz5rS+Dc+cOXN49dVXzznqAlBXV0d+fv55zztTWFhYl4KgjvrXv/6F3W7nF7/4RbN/h3vvvddnffA1jaJ4YX1hADKZTERFRVFdXe0uNtWTVLx9gLrcUiJnphM5VfIh2iV/DbxxCyRfCP/1tb970yvt2XCCDW8cIGVYNNf/5sLzv6EDak6X86//WYhWp+NXr76LTi8D4L7Q0NBAQUEBAwYM6DHJtML7zvV14+3f3zIiJHov14iQrBrzmyLXtNgQz64Wg6YVY1EJSRIECSHaJIFQDyMrhDtAVo35laIonDxQBagbrXpaRbFMiwkhzk8CIdF7yaoxv6o+VU+dyYpOryVhgOeHu5vygyRRWgjRNgmERO8lq8b8yrVsPmFAJHqD55fcyh5jQoj2kEBI9F6yasyv3Mvmh0R75frVp9Rlv9GJSV65vhCiZ5BAqKfoHYv/PMvmCoQkR8jXvF0/yOl0UFNeBkBkXILHry+E6DkkEOpxJFu63WTVmN+YyuuprbSg1WlIHBjl8eubKytxOhxodTrCYzxfsVoI0XNIICR6L7uMCPlLUeNqsfi0SAxBns8Pqi4rBSCibyxabfcr+S+E8B0JhETv5Q6EZETI11zTYt5YNg9gKjsFyLSYEOL8JBASvZfUEfIbV/0gb+QHwZmBULxXri+E6DkkEBK9l03qCPmD6XQ9NRUNaLTeyQ8CMDVOjUXGSiAk2mfhwoVoNJoWt5kzZ7Y4d8mSJeh0ulY3WV21alWr13n55Zfb1Y/HH3+8zXaXLl2KRqNh6tSpAKSnp7faluu2cOHCDv0bnO3bb79Fr9czZsyYZsc3btzINddcQ3JyMhqNhg8++KBL7fib1J3vaSRXuv1cI0IGCYR8yTUtFp8WQVCwd34EmRpXjEXFy9SYaL+ZM2eycuXKZseMxpYjxjk5Odx///3k5ORw3333tXg9MjKS/Pz8Zseiotof9CclJfH1119z4sQJUlOb6mDl5OTQv39/9/Pvv/8eh8MBwObNm5kzZw75+fnu/bhCQjo/7V9VVcXtt9/O5ZdfTmlpabPXzGYzmZmZLFq0iBtvvLHTbQQKCYRE7yV1hPzCPS3mpfpBcOaIUJzX2hA9j9FoJDEx8ZznbNiwgfr6ep588kleffVVNm/ezKRJk5qdo9Foznudc4mPjycrK4tXXnmFRx55BFADnfLycm6++Wb27dsHQFxc09d3TOPqyPj4eI/sVn/33Xczb948dDpdixGfWbNmMWvWrC63EShkakz0XrJqzC9cFaW9FQgpTqckSwcQRVGos9X55aZ4ob7aihUrmDt3LgaDgblz57JixYp2v3f9+vVoNBqOHj163nMXLVrEqlWr3M9zcnK49dZbCQoK6nCfMzIyCA8Pb/N2dlCzcuVKjhw5wh/+8IcOt9UdyYiQ6L1k1ZjP1VY2YCpvQKOB5MHRXmnDXF2Fw25Ho9US0TfWK22I9qu31zP+9fF+afu7ed8Raght9/kff/wx4eHhzY49/PDDPPzwwwCYTCbeeecdtmzZAsD8+fOZMmUKy5cvb/a+6urqZs/Dw8MpKSkhNDSUYcOGYTAYztuXq6++mrvvvpuNGzeSlZXFW2+9xaZNm8jJyWn353H59NNPsdlsbb5+5hTawYMHefDBB/nmm2/Q63tHiNA7PmVvIIWlO05Wjfmcq35QbL8IgkK8lB/UOC0WHtMXrU5qCIn2mzZtGi+88EKzYzFnFOR84403GDRoEJmZmQCMGTOGtLQ0Vq9ezZ133uk+LyIigh07drifa7Xq5Et2djb79+9vV18MBgPz5893j84MHTqU0aNHd+pzpaWltes8h8PBvHnzeOKJJxg6dGin2uqOJBASvZesGvM5b9cPgqal81EyLRYQQvQhfDfvO7+13RFhYWEMHjy4zddXrFjB3r17m42UOJ1OcnJymgVCWq32nNdpr0WLFjF+/Hj27NnDokWLOn2djIwMjh071ubrU6ZM4bPPPqOmpobt27fzww8/cM899wDq51MUBb1ezxdffMFll13W6X4EKgmERO8lq8Z8rml/sT5ea6PalR8kidIBQaPRdGh6KlDt3r2b7du3s379+majRBUVFUydOpX9+/czfPhwj7aZkZFBRkYGu3btYt68eZ2+TnunxiIjI9m9e3ez1/7xj3+wbt063nnnHQYMGNDpPgQyCYRE72WXESFfMldbqCqtAw0kD/ZO/SA4Y8WYLJ0XHWSxWCgpKWl2TK/XExsby4oVK8jOzuaSSy5p8b6LLrqIFStWtFpX6Ezbtm3j9ttvZ+3ataSkpLSrT+vWrcNms3VpJVh7p8a0Wi2jRo1qdiw+Pp7g4OBmx2trazl06JD7eUFBAXl5ecTExDRb3t9dyKox0XtJjpBPuUaDYlPDMYaeP1m0s0zuXeelmKLomDVr1pCUlNTsNnnyZKxWK6+99hpz5sxp9X1z5szh1VdfPeeoC0BdXR35+fnnPe9MYWFhHlkO70nbt29n7NixjB07FoDFixczduxYHnvsMT/3rHM0ijfWFwYgk8lEVFQU1dXV7mJTPUnF6nzqfjhF1OwBRFySev43CHiyLzjtsHg/RCb5uzc93vrX89m7sYjRl6Uy5SfeS8Rc+Zu7qTh5gpse/RNpF4zxWjuidQ0NDRQUFDBgwACCg2W0VbTPub5uvP37W0aEehqpLN0+DrsaBIGMCPnIycb6QSlDvJcfpChKU1VpSZYWQrSDBEKid3LVEAIwSB0hb6szWaksqQMgaYj38oPqTdXYrRbQaIiIlRpCQojzk0BI9E6u/CAAnYwIeZsrP6hvShgh4R2vjNte1a4aQn1i0Om9l4ckhOg5JBASvZNrxZguCLTybeBt7mXzXpwWAzCVNSZKy67zQoh2CsjfADfccAN9+vThpptuanY8Pz+fMWPGuG8hISEtNoPrtXpHzrvnuFeMybSYL5w86N39xVzcS+dlxZgQop0Cso7Qvffey6JFi3jllVeaHR82bBh5eXmAWscgPT2dK664wg89FN2eu6q0TIt5mqIo1FVbqSyto6rxdrrIDPggECpvrCotNYSEEO0UkIHQ1KlTWb9+/TnP+eijj7j88ssJCwvzTae6DVk21i7uESFZ3ttZToeTqlP1nC6qpaLY7A56qk7VY7c4Wpwf2y+c0Ejv5QdB0/YaMjUmhGivDgdCGzduZOnSpeTm5lJcXMz777/P9ddf3+yc559/nqVLl1JSUkJmZiZ///vfyc7O9lSfAXjrrbe4/fbbPXpN0Yu4Vo3J9hrnpSgKtZUWNeA5aeb0yVpOF5mpLDHjtLc+JavRaojsG0x0Qqh6iw8hfbT3t7xwB0IyNSaEaKcOB0Jms5nMzEwWLVrEjTfe2OL11atXs3jxYl588UXGjx/PsmXLmDFjBvn5+cTHqz+cxowZg91ub/HeL774guTk5PP2wWQysXnzZt58882Odl8IlV2mxtrSYLZRetTEqaMmSgtMlB410VDbeiVcvVFHTFIYfZPD6JMYRnSiGvRExoag0/s2BVFRlKZ9xiQQEkK0U4cDoVmzZjFr1qw2X3/22We56667uOOOOwB48cUX+eSTT8jJyeHBBx8EcOf5dNaHH37IlVdeec6qpRaLBYulaYm0yWTqUpuih5GpMQAcDiflx2spPWqi9Gg1pQUmqk/VtzhPq9UQnRhKTHIYfZPD6ZsSRkxyOJF9g9FoA2M6tqG2BluD2vcI2XBVCNFOHv2TzWq1kpuby/Tp05sa0GqZPn06W7Zs8Vg7b731Frfccss5z1myZAlRUVHuW79+/TzWfiCSNWMd5Joa64WBkLnKwr5vT7LmX7vJ+d0m3vnLdr5ZfYAD35W6g6CouBCGZicw5ZYh3PTAOP5r+aXMfWw8M342inGz0xmQGUdUXEjABEHQNC0WFt0HQ5CM9ImOWbhwIRqNpsVt5syZLc5dsmQJOp2u1U1WV61a1ep1Xn755Xb14/HHH2+z3aVLl6LRaJg6dSoA6enprbblui1cuLBD/wYAxcXFzJs3j6FDh6LVavn1r3/drs94roGJu+++G41Gw7JlyzrcH1/waLJ0eXk5DoeDhITmKzYSEhLYv39/u68zffp0du7cidlsJjU1lbfffpuJEycCUF1dzbZt23j33XfPeY2HHnqIxYsXu5+bTKYeHwwBkivdXrbeEwg5HE5Kj1RzbE8Fx/ae5vSJ2mavG0P1JAyIImFApHpLiyQ4vPsVI5REadFVM2fOZOXKlc2OGY0tg+qcnBzuv/9+cnJyuO+++1q8HhkZSX5+frNjUVHtr6ielJTE119/zYkTJ0hNbdo7Micnp9nu7t9//z0Oh7owYfPmzcyZM4f8/Hz3flwhIR0vD2KxWIiLi+PRRx/lb3/7W5vnnf0ZNZrWf/m8//77bN26tV1pL/4SkKvGvvrqqzZfi4qKorS09LzXMBqNrX4BCwH0imTpo7vL2b+lmMIfK7HWn5GTp4H4tEjSMmLoP6ov8WmRaANoZKezXEvnJT8osCiKglLfcrrVFzQhIW3+gm6N0WgkMTHxnOds2LCB+vp6nnzySV599VU2b97MpEmTmrer0Zz3OucSHx9PVlYWr7zyCo888gigBjrl5eXcfPPN7Nu3D4C4uKYp4JiYGPd7u7JbfXp6OsuXLwfUwKst7fmMRUVF/PKXv+Tzzz/nqquu6nSfvM2jgVBsbCw6na5FoFJaWtqlLwohPK6H5wgdyj3F5y/tcT8PDjfQf2QM/TP60n9kDCER3l3G7g/VUkwxICn19eRfmOWXtoftyEUTGurRa65YsYK5c+diMBiYO3cuK1asaBEItWX9+vVMmzaNgoIC0tPTz3nuokWLuP/++92BUE5ODrfeemun+pyRkcGxY8fafH3KlCl89tlnHbpmbW0taWlpOJ1OLrzwQp566ikyMjLcrzudTm677Tbuu+++ZscDkUcDoaCgILKysli7dq17Sb3T6WTt2rXcc889nmxKiK7pwavGTh0zsXaV+hfj0OwELpiW2mNGfc6laem8FFMUnfPxxx8THh7e7NjDDz/Mww8/DKgpFu+8844753X+/PlMmTKF5cuXN3tfdXV1s+fh4eGUlJQQGhrKsGHDMBjOP/V89dVXc/fdd7Nx40aysrJ466232LRp0zlHadry6aefYrO1vvITOj6FNmzYMHJychg9ejTV1dU8/fTTTJo0ib1797qn8v7yl7+g1+v51a9+1eH++lqHA6Ha2loOHTrkfl5QUEBeXh4xMTH079+fxYsXs2DBAsaNG0d2djbLli3DbDa7V5EJL5Fs6Y7pgVtsWOps5H1VyM51hdhtTvpnxHD5ghFodQG5k47HuQKhKBkRCiiakBCG7cj1W9sdMW3aNF544YVmx1xTTgBvvPEGgwYNIjMzE1BLwaSlpbF69WruvPNO93kRERHs2LHD/VzbuJ9hdnZ2u/NlDQYD8+fPZ+XKlRw5coShQ4cyevToDn0el7S0tE69ry0TJ0505+0CTJo0iREjRvDPf/6TP/7xj+Tm5rJ8+XJ27NjRoalJf+lwILR9+3amTZvmfu5KSF6wYAGrVq3illtuoaysjMcee4ySkhLGjBnDmjVrWiRQC+FXPWiLDcWp8OPmYrZ8cNhd7ydhQCRX/mxUrwmCQIopBiqNRuPx6SlvCQsLY/DgwW2+vmLFCvbu3Yte3/Sr0+l0kpOT0ywQ0mq157xOey1atIjx48ezZ88eFi1a1OnreGNq7EwGg4GxY8e6B0m++eYbTp061Syx2+Fw8Nvf/pZly5Zx9OjRTrflDR0OhKZOnYpyng0+77nnHpkKE4Gth+QIVZfV89XKfZQcqQagT2Io468dyMAxcQG1tN3bGsy1WOrU/cxk1Zjwht27d7N9+3bWr1/fbJSooqKCqVOnsn//foYPH+7RNjMyMsjIyGDXrl3Mmzev09fx9NTY2RwOB7t372b27NkA3Hbbbc3K6ADMmDGD2267LSBnhwJy1ZgQXtcDVo0d3F7K16/tx9bgwBCsY/w1Axk1NQVdLxoFcnGNBoVERGI4Rz0TIc7FYrFQUlLS7Jheryc2NpYVK1aQnZ3NJZdc0uJ9F110EStWrGi1rtCZtm3bxu23387atWtJSUlpV5/WrVuHzWbr0kqwjk6Nnbm5eVlZGXl5eQQFBTFy5EgAnnzySSZMmMDgwYOpqqpi6dKlHDt2jJ/97GcA9O3bl759+za7psFgIDExkWHDhnX6c3iLBEKid+rGBRUVReGHL46z5f3DACQNjmL6wpFExvacfKeOkkRp4Qlr1qwhKSmp2bFhw4axa9cuXnvtNR544IFW3zdnzhyeeeYZnnrqqXNev66ujvz8/HOOzpzNHxuLjx071v04NzeX119/nbS0NPeUVmVlJXfddRclJSX06dOHrKwsNm/e7A6UuhuNcr55rh7CZDIRFRVFdXW1u9hUT3L6jf3U7ywj6uqBRExu318avdpbt8O+D2H205B9l7970yGb3z3ED18eByDz8n5MunFQr8oFas2Ozz7i61X/Yuj4i7lm8UP+7k6v1tDQQEFBAQMGDDhntWEhznSurxtv//6WEaGepvekhXRNN80R2rOxyB0EXXzTYMZM73+ed/QOpsYaQhGSKC2E6KDe/Wek6L3cq8a6TyBUlF/JN28eAGD8tQMlCDqDqawMkKXzQoiOk0BI9E7uEaHusXzebnXw5cp9OJ0KQ8bFkzXLs3VBujupKi2E6CwJhETv5F411j0SjHevL8JcZSE8xsi020d0iyJlviTJ0kKIzpJAqKfoHTnvnuNeNRb4I0KWeju5nx8FIPvqARiCdP7tUICx1tfRUFsDSA0hIUTHSSDUw8g4QTu5A6HAHxHK++o4FrOdPomhDBsvmxefzTUaFBwWjrGbVDAWQgQOCYRE72TrHiNCiqKwZ0MRANnXDOz1y+RbYypXE6VlWkwI0RnyU1X0Tt2koGL1qXoaam3o9FoGZMb6uzsBqSlROs7PPRFCdEcSCIneybVqLMC32Cg9agIgtl84Or18u7ZGEqWFEF0hP1lF76MoYO8edYRONQZCCQN6XjV0T3EHQpIoLYToBAmEehpZVn1+DmvT4wDPEXKNCCWkSyDUFldV6ch4CYRE5y1cuBCNRtPiNnPmzBbnLlmyBJ1O1+omq6tWrWr1Oi+//HK7+vH444+32e7SpUvRaDRMnToVgPT09Fbbct0WLlzYoX8DgOLiYubNm8fQoUPRarX8+te/btdnPHtbjNLSUhYuXEhycjKhoaHMnDmTgwcPdrg/viBbbIjex5UfBAG9asxhd1JeWAtAvARCbXIlS0fJ1JjoopkzZ7Jy5cpmx4zGln8s5eTkcP/995OTk8N9993X4vXIyEjy8/ObHYuKimp3P5KSkvj66685ceIEqampzdrt37+povz333+Pw+EAYPPmzcyZM4f8/Hz3flwhIR3/+WaxWIiLi+PRRx/lb3/7W5vnnf0Zz6xtpigK119/PQaDgQ8//JDIyEieffZZpk+fzr59+/yykey5SCAkeh/XijE0oDP4tSvncrqoFofdiTFMT1Rc4AZs/mSzNFBXXQXI1FigUhQFu9Xpl7b1QdoOFR81Go0kJp67RMWGDRuor6/nySef5NVXX2Xz5s1MmjSp2Tkajea81zmX+Ph4srKyeOWVV3jkkUcANdApLy/n5ptvZt++fQDEnbFAICYmxv3e6OjoTrednp7O8uXLATXwasu5PuPBgwfZunUre/bsISMjA4AXXniBxMRE3njjDX72s591un/eIIGQ6H3OXDEWwFOJpQVN02JSSbp1rj3GgkJCMQbYX5lCZbc6+de9G/zS9n8tvxSD0bMFSFesWMHcuXMxGAzMnTuXFStWtAiE2rJ+/XqmTZtGQUEB6enp5zx30aJF3H///e5AKCcnh1tvvbVTfc7IyODYsWNtvj5lyhQ+++yzDl2ztraWtLQ0nE4nF154IU899ZQ76LFY1MUoZ06XabVajEYjmzZtCrhASHKEegopLN1+3WTFmCtRWqbF2mYqd60Yi5dgUXTZxx9/THh4eLPbU0895X7dZDLxzjvvMH/+fADmz5/PW2+9RW1tbbPrVFdXN7uGa+QkNDSUYcOGYTCcfyT66quvxmQysXHjRsxmM2+99RaLFi3q1Of69NNPycvLa/PW3vwll2HDhpGTk8OHH37Ia6+9htPpZNKkSZw4cQKA4cOH079/fx566CEqKyuxWq385S9/4cSJExQXF3fqM3iTjAiJ3qebrBiTROnzM8lmqwFPH6Tlv5Zf6re2O2LatGm88MILzY65ppwA3njjDQYNGkRmZiYAY8aMIS0tjdWrV3PnnXe6z4uIiGDHjh3u51qt2o/s7Gz279/frr4YDAbmz5/PypUrOXLkCEOHDmX06NEd+jwuaWme3aR54sSJTJw40f180qRJjBgxgn/+85/88Y9/xGAw8N5773HnnXcSExODTqdj+vTpzJo1CyUAt4OSQKinkT+Kz68b7DxvqbdTWVIHSCB0Lq6l85IoHbg0Go3Hp6e8JSwsjMGDB7f5+ooVK9i7dy96fdOvTqfTSU5OTrNASKvVnvM67bVo0SLGjx/Pnj17Oj0aBN6ZGjuTwWBg7NixHDp0yH0sKyuLvLw8qqursVqtxMXFMX78eMaNG9fpdrxFAiHR+9hcI0KBm4CsN2i5fvFYKk6aCYkI8nd3AlJtZQUn9qtJo5GxUlVaeNfu3bvZvn0769evbzZKVFFRwdSpU9m/fz/Dhw/3aJsZGRlkZGSwa9cu5s2b1+nrfPrpp9hstjZf78zqsjM5HA52797N7NmzW7zmWi138OBBtm/fzh//+McuteUNEgiJ3qcbjAjp9FpShvYhZWgff3cl4JQfP8r2Tz5g/6b1OOx2AGLTBvi5V6InsFgslJSUNDum1+uJjY1lxYoVZGdnc8kll7R430UXXcSKFStarSt0pm3btnH77bezdu1aUlJS2tWndevWYbPZurQSrKNTY3l5eYCaEF1WVkZeXh5BQUGMHDkSgCeffJIJEyYwePBgqqqqWLp0KceOHWuWBP32228TFxdH//792b17N/feey/XX389V155Zac/h7dIICR6H9eqMUPgjgiJ5hRF4fjunWz/5H2O5uW6jycPHcFF184hffRYP/ZO9BRr1qwhKSmp2bFhw4axa9cuXnvtNR544IFW3zdnzhyeeeaZZonVramrqyM/P/+cozNn80fNnbFjm76fcnNzef3110lLS+Po0aMAVFZWctddd1FSUkKfPn3Iyspi8+bN7kAJ1MKMixcvprS0lKSkJG6//XZ+//vf+/qjtItGCcTMJS8wmUxERUVRXV3tLjbVk5z+vx+p311O9HWDCJ+Y7O/uBLZdb8F7d8HAqXD7h/7ujTiPw7nf8e3q1yg7VgCARqNlcPYExl19A8lDR/i5d+JsDQ0NFBQUMGDAgBbVhoVoy7m+brz9+1tGhETv0012nu/tFEVh2wdvs+nNVwHQG42MmnoFWbOvIzox6TzvFkKI9pFASPQ+7hwhCYQCldPhYG3OC+z6ag0AY2ZczaSf3EpIeISfeyaE6GkkEBK9j6171BHqrawN9Xyy/K8c2fE9aDRMW/BfXDjrGn93SwjRQ0kgJHqfbrBqrLcyV1Xy/l+eoPTIIfSGIGbfex9DLpp4/jcKIUQnSSDUU/SOnHfPcFWWllVjAeV0USHvLXkcU1kpIRGRXH//YyQP9WxdFiGEOJsEQj2NVJZuXYMJTv4AxXlw4HP1mIwIBYwTP+7hw6V/osFcS3RiEjc+9AR9EmX1oxDC+yQQEj2PosDpw1C4FY5vhRPfQ1k+LXam7SNF+AJByeGDvPPn3+Ow2UgaMozr73+M0Mgof3dLCNFLSCAkeoaKAji8Do5ugmPfQm1py3Oi+kPyGPWWehGkT/F1L0Ur9m1ch8Nmo/+oTK6///cYjJLELoTwHQmERPdkt8DRbyB/DRz6CioLmr+uM0JKFvTLhn7j1ccRsjFnIDqxbzcAo6fPkiBICOFzARcIFRYWctttt3Hq1Cn0ej2///3vufnmm92vf/zxx/z2t7/F6XTywAMPNNvbpFfrDbnStgY16Nn7nprnY61tek2rh9RsGHipOtKTkgUG+aUa6OpraygrVHfFTh2R4efeCCF6I62/O3A2vV7PsmXL2LdvH1988QW//vWvMZvNANjtdhYvXsy6dev44YcfWLp0KadPn/ZzjwNND8uWVhQo2gH/+TU8PQRW3wp73lWDoPBEuHAB/PR1eOAoLPoMpj4I6RdLENRNFO3fB4pCTHIqYdGywazwn4ULF6LRaFrcZs6c2eLcJUuWoNPpWt1kddWqVa1e5+WXX25XPx5//PE22126dCkajYapU6cCkJ6e3mpbrtvChQs79G8A6h5h8+bNY+jQoWi1Wn7961+3OMdms/Hkk08yaNAggoODyczMZM2aNS3Oe/7550lPTyc4OJjx48ezbdu2DvfHFwJuRCgpKcm96V1iYiKxsbFUVFQQFhbGtm3byMjIcO/aO2vWLL744gvmzp3rzy4Lb3DYYPc7sPV5KNnddDwiGUbdCBk3QPKFoA24WF50gGtaLHXEKD/3RAiYOXMmK1eubHbMaGy5ujQnJ4f777+fnJwc7rvvvhavR0ZGkp+f3+xYVFT7FwAkJSXx9ddfc+LECVJTU5u1279/f/fz77//HofDAcDmzZuZM2cO+fn57v24QkI6XiLEYrEQFxfHo48+yt/+9rdWz3n00Ud57bXXeOmllxg+fDiff/45N9xwA5s3b3Zv2Lp69WoWL17Miy++yPjx41m2bBkzZswgPz+f+Pj4DvfLmzr8W2Tjxo1cc801JCcno9Fo+OCDD1qc46koMDc3F4fDQb9+/QA4efKkOwgCSElJoaioqFPXFgHKboGtL8L/joUP7laDIJ0RLrgZFvwHfrMXZvwZUsdJENQDnPhxDwCpIyUQ6qkURcHW0OCXW0f3FDcajSQmJja79enTfKRyw4YN1NfX8+STT2Iymdi8eXOL62g0mhbX6UhQEh8fz5VXXskrr7ziPrZ582bKy8u56qqr3Mfi4uLc14+JiXG/13WsI8GXS3p6OsuXL+f2229v8/3//ve/efjhh5k9ezYDBw7k5z//ObNnz+aZZ55xn/Pss89y1113cccddzBy5EhefPFFQkNDycnJ6XCfvK3DI0Jms5nMzEwWLVrEjTfe2OL19kSBY8aMwW63t3jvF198QXKyWjukoqKC22+/nZdeeqmjXQTUqNZisbifm0ymTl1H+IiiwP5P4ItHoPKoeiwsHib8HLIWQmiMP3snvMBSZ+ZUwRFAAqGezG6x8L8LbvJL27965R0MwZ6dJl+xYgVz587FYDAwd+5cVqxYwaRJk9r13vXr1zNt2jQKCgpIT08/57mLFi3i/vvv55FHHgHU0aBbb721U33OyMjg2LFjbb4+ZcoUPvvss3Zfz2KxtNghPiQkhE2bNgFgtVrJzc3loYcecr+u1WqZPn06W7Zs6WDvva/DgdCsWbOYNWtWm6+fGQUCvPjii3zyySfk5OTw4IMPApCXl3fONiwWC9dffz0PPvhgsy+w5OTkZiNARUVFZGdnt3qNJUuW8MQTT7T3Y3V73TpXuqoQPvwFFGxQn4cnwqX3w5hbJdenByvK34eiOIlOSCIiJtbf3RGCjz/+mPDw8GbHHn74YR5++GFA/YP6nXfecf8ynz9/PlOmTGH58uXN3lddXd3seXh4OCUlJYSGhjJs2DAMBsN5+3L11Vdz9913s3HjRrKysnjrrbfYtGlTp0ZUPv30U2w2W5uvd3QKbcaMGTz77LNccsklDBo0iLVr1/Lee++5p+nKy8txOBwkJDRfqZuQkMD+/fs73H9v82iOkCeiQEVRWLhwIZdddhm33XZbs9eys7PZs2cPRUVFREVF8dlnn/H73/++1es89NBDLF682P3cZDK5p9h6tO6WK33wS3jvLqivVKfAJt0DkxeDMfz87xXd2okf9wIyGtTT6Y1GfvXKO35ruyOmTZvGCy+80OyYa8oJ4I033mDQoEFkZmYC6uxGWloaq1ev5s4773SfFxERwY4dO9zPtY3T+NnZ2e0OBAwGA/Pnz2flypUcOXKEoUOHMnr06A59Hpe0tLROva8ty5cv56677mL48OFoNBoGDRrEHXfcEZDTXu3h0UDIE1Hgt99+y+rVqxk9erQ7/+jf//43F1xwAXq9nmeeeYZp06bhdDq5//776du3b6vXMRqNrSa5iQDhdMLXf+b/t3f/MU3eeRzA322hICBlDJQfwkDxRDilHALqeQgnBsZFouE2EpcbzjvNlumyY25qpmi24bJoHLchm5dgiHPu1MyZxRiWCxvxFlSmHtEhZSOHv8Cygo5SXKHQ3h+VagcixT592j7vV9JInx/f5/M0Tb8fv9/v8/3iP3us7yPVwJ8PAE/OEjUsch0OlJYGmUzm9O4poQQGBiIhIeGh+6urq9Hc3Awfn/tVp9lsxoEDB+wSIblcPm45E7V27VpkZmbi+++/x9q1ayddjrO7xsLDw3HixAkYjUb09PQgKioKW7ZswcyZMwEAYWFhUCgU6Oqyn9i2q6sLERERk7sJAbndU2NLliyB2Wx+6P7CwkIUFha6MCISxL+3A2cqrX+n/w3I28W1vyTEZDSi639tAJgIkWe4fPkyzp8/j/r6ertWotu3byM7OxsajQaJic5dJDg5ORnJycm4dOkSVq9ePelynN01NsLf3x/R0dEwmUz4/PPP8eyzzwIAlEol0tLSUFdXh5UrVwKwJox1dXXYsGHDpK4lJKcmQp6WBZJIzv3zfhJUWAn87i/jH09ep+OHFpiHhzE1LByqaZzxm9zDwMAAtFqt3TYfHx+EhYWhuroaGRkZyMrKGnVeeno6qqurx5xX6EGNjY14/vnnUVdXZ/cE9Hi+/vprmEwmhISETPg+fs3RrrGRcbwGgwE6nQ5NTU1QKpVISkoCAJw7dw4dHR1Qq9Xo6OjAzp07bb00I0pLS1FSUoIFCxYgIyMDFRUV6O/vt40fdidOff74wSxwxEgWuGjRImdein7NU0ZLa04BtZutf/9xO5Mgieq499h8DFuDyI3U1tba5rIbeS1ZsgSDg4M4dOgQioqKxjyvqKgIBw8eHLfVBQDu3r2L1tbWRx73oMDAwMdKgiYjNTUVqampuHDhAg4fPozU1FQUFBTY9huNRmzbtg1JSUlYtWoVoqOj8e2339rFWVxcjD179qCsrAxqtRpNTU2ora0dNXTGHcgsDk60YDAY0NZmbdJOTU3F3r17kZOTg9DQUMTGxuLIkSMoKSnB/v37bVng0aNHodFoRP0A9Ho9VCoVent7bZNNeZPug1dgvNKDkFUJCMqMFDucselagf1LgaFfrDNCr/gHIPO00d3kDP/asRkdmmYsX78R85fliR0OOZHRaER7ezvi4+NHPWJN9DDjfW+Err8d7ho7f/48cnJybO9HnswqKSlBTU0NiouLodPpUFZWBq1WC7Va7bZZILnY2SprEhT3B+BPe5kESZRpcADaNuusuzF8YoyIROZwIpSdnf3I2To3bNjglgOiSEQDfdYlMwDremAKtxunTy6i/bEVw0NDCHwiFCERUWKHQ0QSxzUKyDVGFkp9MgF46vdiR0MiunHl3rIac38LGVsFiUhkTITINS7UWP9NW8MuMYnr0NxPhIiIxMZEiITX2QR0/hdQKIGUyc+FQZ5veMiEzh84PoiI3AcTIW/jjo0tF++toDx3BRA49kzgJA3ath8xNDiAKcEqhEZLYMkbInJ7TIRIWAMG4NIx699pa0QNhcR3s2WkWyyZ44OIyC0wESJhNR8HBvuA0JnWx+ZJ0u4nQvNEjoSIyIqJEAnrbg/gG8BB0gTz8DA6WlsAWFuEiIjcASdz8RaOTRDuOkv+Diz4K5MgQld7G0zGX+AfGITw2DixwyEiAsAWIa8jc8fR0v7BgN9UsaMgkd28N39Q9NxkyOT86SH3s2bNGshkslGv/Px8AEBcXBxkMhnOnj1rd96rr76K7Oxs2/udO3fazh1ZtDUrKwsVFRUYGBiwOzc7O3vMaw4NDQl+v2TFXyMicon744P42Dy5r/z8fNy6dcvu9dlnn9n2+/v7Y/PmzY8sJzk5Gbdu3cL169fxzTff4JlnnsG7776LxYsXo6+vz+7YdevWjbqmjw87bFyFnzQRCc5sHkaH5goAJkJSY7FYYDGZRbm2zFfu8NOJfn5+iIiIeOj+9evX4+OPP8apU6fsVmT/NR8fH1s5UVFRmDdvHpYvX46UlBS89957eOedd2zHBgQEjHtNEhYTISISnO7aVQzc7YdyyhRMi5spdjjkQhaTGZ1lDaJcO+qtxZApFU4tMz4+Hi+++CK2bt2K/Px8yB3o5k1MTMTTTz+N48eP2yVCJC52jRGR4Gzjg+YkQa5wbsVE5EwnT55EUFCQ3WvXrl12x2zbtg3t7e349NNPHS4/MTERV69etdtWVVVld73XXnvtcW6BHMQWIW/jhmOliW62XAYAzEji/EFSI/OVI+qtxaJd21E5OTn46KOP7LaFhobavQ8PD8emTZtQVlaG4uJih8q3WCyjuuuee+45vPnmm7b3ISEhjgVNj4WJEBEJymI242ZLMwCOD5IimUzm9O4pIQUGBiIhIeGRx5WWlqKqqgpVVVUOld/S0oL4+Hi7bSqVakLXJGGwa4yIBNVz8zqMhj74+Plh+kz+2JN3CAoKwvbt21FeXj7qKbCH0Wg0qK2tRVFRkcDRkSOYCBGRoPp//hnB4dMQ9Zu5UPCRYHJzAwMD0Gq1dq/u7u4xj12/fj1UKhUOHz48at/Q0BC0Wi06Oztx+fJlfPjhh1i6dCnUajVef/11oW+DHMBfJW/hphNLEz01X411lQdgMhrFDoXokWpraxEZGWm3bc6cOdBoNKOO9fX1xdtvv43Vq1eP2tfc3IzIyEgoFAqoVCokJSVh69ateOmll+Dn5ydY/OQ4mcXirmszOJder4dKpUJvby+Cg4PFDsfpumuaYdTcxhNFsxGYzvkoiEgcRqMR7e3tiI+Ph7+/v9jhkIcY73sjdP3NrjEiIiKSLCZCREREJFlMhIiIiEiymAgRERGRZDER8jacWZqI3IBEnsMhJxHz+8JEiIiInEZxby25wcFBkSMhTzLyfVGIsBYh5xEiIiKn8fHxQUBAAHQ6HXx9fR1anZ2kyWw2Q6fTISAgAD4iTLrKRIiIiJxGJpMhMjIS7e3tuHbtmtjhkIeQy+WIjY0dtSCtKzAR8hbsjyciN6FUKjF79mx2j9GEKZVK0VoPmQh5HY6WJiLxyeVyzixNHoGdt0RERCRZTISIiIhIspgIERERkWRJZozQyGRNer1e5EiE0feLAcaBfigMfRjWTxE7HCIiIqcYqbeFmnRRMolQX18fACAmJkbkSARWIXYAREREztfT0wOVSuX0cmUWicyDbjab0dnZialTpzo8T0F6ejq+++47p8fk7HL1ej1iYmJw48YNBAcHO61c8lxCfXe9mTd/Zp50b+4UqxixuOqanlC/9fb2IjY2Fnfu3EFISIhTynyQZFqE5HI5ZsyYMalzFQqFIImFUOUGBwczESIAwn3HvJk3f2aedG/uFKsYsbjqmp5Uvwk1zxAHS0/Ayy+/7FHlEo3gd8xx3vyZedK9uVOsYsTiqmuyfpNQ15gU6PV6qFQq9Pb2us3/pIiIiB6H0HUbW4S8iJ+fH3bs2AE/Pz+xQyEiInIKoes2tggRERGRZLFFiIiIiCSLiRARERFJFhMhIiIikiwmQkRERCRZTISIiIhIspgISUBrayvUarXtNWXKFJw4cULssIiIiB7b+++/j+TkZCQlJeGVV15xeHFWPj4vMQaDAXFxcbh27RoCAwPFDoeIiGjSdDodFi5ciObmZvj6+iIrKwt79uzBokWLJlyGZNYaI6svv/wSy5YtYxJEREReYWhoCEajEQBgMpkwbdo0h85n15gHOH36NFasWIGoqCjIZLIxu7X27duHuLg4+Pv7IzMzE42NjWOWdfToURQXFwscMRER0aM9bv0WHh6OTZs2ITY2FlFRUcjNzcWsWbMcioGJkAfo7+9HSkoK9u3bN+b+I0eOoLS0FDt27MDFixeRkpKCvLw8/PTTT3bH6fV6NDQ0oKCgwBVhExERjetx67c7d+7g5MmTuHr1Kjo6OtDQ0IDTp087FAPHCHkYmUyGL774AitXrrRty8zMRHp6OiorKwEAZrMZMTEx2LhxI7Zs2WI77pNPPsFXX32FQ4cOuTpsIiKicU2mfjt27Bjq6+ttidTu3bthsVjwxhtvTPi6bBHycIODg7hw4QJyc3Nt2+RyOXJzc3HmzBm7Y9ktRkREnmIi9VtMTAwaGhpgNBoxPDyM+vp6zJkzx6HrMBHycN3d3RgeHsb06dPttk+fPh1ardb2vre3F42NjcjLy3N1iERERA6bSP22cOFCFBQUIDU1FfPnz8esWbNQWFjo0HX41JhEqFQqdHV1iR0GERGRU5WXl6O8vHzS57NFyMOFhYVBoVCMSnK6uroQEREhUlRERESPx1X1GxMhD6dUKpGWloa6ujrbNrPZjLq6OocmlCIiInInrqrf2DXmAQwGA9ra2mzv29vb0dTUhNDQUMTGxqK0tBQlJSVYsGABMjIyUFFRgf7+frzwwgsiRk1ERDQ+d6jf+Pi8B6ivr0dOTs6o7SUlJaipqQEAVFZWYvfu3dBqtVCr1fjggw+QmZnp4kiJiIgmzh3qNyZCREREJFkcI0RERESSxUSIiIiIJIuJEBEREUkWEyEiIiKSLCZCREREJFlMhIiIiEiymAgRERGRZDERIiIiIsliIkRERESSxUSIiIiIJIuJEBEREUkWEyEiIiKSrP8DY/YRE8Bw0CwAAAAASUVORK5CYII=",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"n2n_reactions = [11, 24, 41, 154, 159, 190]\n",
"for mt in n2n_reactions:\n",
" rx = rh103_eaf[mt]\n",
" xs = rx.xs['0K']\n",
" plt.loglog(xs.x, xs.y, label=f'EAF: MT={mt}')\n",
"\n",
"xs = rh103_endf[16].xs['0K']\n",
"plt.loglog(xs.x, xs.y, label='ENDF')\n",
"plt.legend()\n",
"plt.xlim(right=1e8)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "841f0ac3-7050-4a49-a270-abe3a806866f",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.12.4"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment