{ "cells": [ { "cell_type": "markdown", "metadata": { "id": "aK2t7aSWNojQ" }, "source": [ "# OpenFASoC: Temperature Sensor Generator" ] }, { "cell_type": "markdown", "metadata": { "id": "view-in-github" }, "source": [ "\"Open" ] }, { "cell_type": "markdown", "metadata": { "id": "xjDewsT5Y4lP" }, "source": [ "```\n", "OpenFASOC Team, September 2022\n", "SPDX-License-Identifier: Apache-2.0\n", "```" ] }, { "cell_type": "markdown", "metadata": { "id": "L6Ck4z5ujN_k" }, "source": [ "\n", "|Name|Affiliation|IEEE Member|SSCS Member|\n", "|:--:|:----------:|:----------:|:----------:|\n", "|Ali Hammoud|University of Michigan|Yes|No|\n", "|Lucca Silva|Centrale Supelec (France)|No|No|\n", "|Sai Charan|Onsemi (India)|Yes|Yes|\n", "|Mehdi Saligane (Lead)
Email ID: mehdi@umich.edu|University of Michigan|Yes|Yes|\n" ] }, { "cell_type": "markdown", "metadata": { "id": "-Xp4cEjkeHIx" }, "source": [ "Welcome!\n", "This notebook[^1] serves as an introduction to the temperature sensor generator: an open-source silicon generator parts of [OpenFASoC](https://github.com/idea-fasoc/OpenFASOC) - An open-source framework for autonomous generation of tapeout-ready temperature sensors. This framework uses a leakage-based digital temperature sensor design as the template. A cell-based design methodology is employed to allow full synthesizability and compatibility with computer-aided designs (CADs) flow and advanced technology nodes. Furthermore, the generator automates the design flow end-to-end in Python and supports designing completely with open-source CAD tools.\n", "\n", "**_Index Terms:_** Circuit generator, leakage-based temperature dependency, open source, synthesizable design, temperature sensor.\n", "\n", "Citation: Q. Zhang et al., \"An Open-Source and Autonomous Temperature Sensor Generator Verified With 64 Instances in SkyWater 130 nm for Comprehensive Design Space Exploration,\" in IEEE Solid-State Circuits Letters, vol. 5, pp. 174-177, 2022, doi: 10.1109/LSSC.2022.3188925.\n", "\n", "\n", "[^1]: This notebook is targeted at users of all professional backgrounds aiming to learn how to *code* their chips. The goal is to go through all the steps of generating the temperature sensor and an overview of the simulation results. " ] }, { "cell_type": "markdown", "metadata": { "id": "s0reRhEpfPpg" }, "source": [ "## Temperature Sensor\n", "This generator produces a time domain temperature sensor. Fundamentally, the sensor is an oscillator — a ring of digital inverters oscillating between high and low continuously when enabled. At higher temperatures, the sensor oscillates faster; at lower temperatures, the sensor oscillates slower. The oscillation frequency increases exponentially when increasing temperature.\n", "\n", "![image2.png](data:image/png;base64,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)\n", "\n", "The output then goes to a split level converter[^2] (SLC). The sensing elements operates at a lower voltage relative to the rest of the components, so the oscillation is converted to a higher voltage before processing. SLC aux cell handle this low to high conversion while the leakage header using stacked native I/O devices serves as a voltage regulator to generate a lower voltage with high tolerance against supply variations.\n", "[^2]: Y. Kim, Y. Lee, D. Sylvester and D. Blaauw, \"SLC: Split-control Level Converter for dense and stable wide-range voltage conversion,\" 2012 Proceedings of the ESSCIRC (ESSCIRC), 2012, pp. 478-481, doi: 10.1109/ESSCIRC.2012.6341359.\n", "\n", "![image1.png](data:image/png;base64,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)\n", "\n", "To process the digital oscillation into a temperature reading, a comparison circuit is used consisting of two digital counters and logical components. These ripple counters compare the frequency difference between the sensor oscillator and a reference clock. Note that an invarient reference clock is required. This comparison circuit outputs a 24 bit number corresponding to the temperature. The figure below summarizes the function of the temperature sensor.\n", "\n", "![image3.png](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA+QAAAORCAYAAAB7smhjAAAABHNCSVQICAgIfAhkiAAAIABJREFUeF7snQXcVMX+/8e61wTEDhRBwO5OFBuxu7Ab7MYrtqJcRRRbsRPxWtdAUa/d3Ygd2IKJuv95z985v9mzZ3fP7rO7z8bn+3rtC55zJj9nzpz59hQZS0YkBISAEBACQkAICAEhIASEgBAQAkJACNQUgSlr2ps6EwJCQAgIASEgBISAEBACQkAICAEhIAQcAmLItRCEgBAQAkJACAgBISAEhIAQEAJCQAi0AwJiyNsBdHUpBISAEBACQkAICAEhIASEgBAQAkJADLnWgBAQAkJACAgBISAEhIAQEAJCQAgIgXZAQAx5O4CuLoWAEBACQkAICAEhIASEgBAQAkJACIgh1xoQAkJACAgBISAEhIAQEAJCQAgIASHQDgiIIW8H0NWlEBACQkAICAEhIASEgBAQAkJACAiBqQWBEBACQkAICAEhIASEQDoE3n77bfPKK6/kFF5qqaVMjx49cq7HL/z111/m/vvvNxMnTozfKunvmWee2fTp08dMMcUUReu98cYb5vXXXy9arlCBKaec0qy11lqmc+fOhYq5e8ztgQceMH/++WfRsoUKgCe4pqFHHnnETJgwIU3RvGWmm246s8EGG5ippy5+PP7www/NM888k7ettDdWWWUVM8888xQt/vvvv5t7773X/Pbbb0XLFipAX/SZhp577jkzfvz4NEXzlgHL9ddf30w//fR5y/gbPL9HH33UZDKZomULFSjlXWSd/vjjj4WaK3qvlHfxzTffNK+99lrRNgsVKPVdHDNmjPnjjz8KNVn0XinvIs/wyy+/LNpmoQKlvIsfffSRefrppws1l+pe2ncxVWOlFrKLXiQEhIAQEAJCQAgIASFQBIFff/0106FDB7iFnJ89lGfsobdIC5nMFVdckVM3qb0010aNGlW0P8scZywzVJE++/XrV7Q/Cuyyyy4V6W+aaabJfP7550X7fOihhyrSH5ifffbZRfujQNeuXSvS52KLLZaqvxNOOKEi/TFHy2gX7XPcuHEZy/hVpM8DDjigaH8UWHPNNSvSX6dOnTKTJ08u2ufIkSMr0h+Y3nLLLUX7++mnnzIzzDBDRfrs27dv0f4osOuuu1akPytYyXz66adF+3z44Ycr0h+YDhkypGh/FOjWrVtF+lxkkUVS9VeNQjJZL1WCofJCQAgIASEgBIRASyIwadKkvNq0pZde2kw11VRFcenVq5exTH3RcsUKoKnu3r17sWJm2mmnNZbpK1quWAHmtswyyxQr5u6DRRotc7HGevbsmQqrLl26mDnmmKNYc0Xvo8W1h/Ki5Siw3HLLpSpXrFDadhZffHHzz3/+s1hzRe+jIZ9zzjmLlmN9WUanaLliBaxQJbWVw7LLLmvQ/raV0JCnWX9p11ex8aAhT/Mu8vx4jm0lMEr7LqbFotiYwKpjx47FiplKvYtoyBdddNGi/VEg7TtUrLFKtVOsn6T7U8DlJ93QNSEgBISAEBACQkAICIH/Q+Cbb74xs846q7twzz33mA033FDwCAEhIASEQJMjYC0uzIknnuiEVLvvvnvFZ1vcSabiXapBISAEhIAQEAJCQAgIASEgBISAEBAC9Y/A2LFjzamnnuosOHbYYQdneVRJartdSCVHo7aEgBAQAkJACAgBISAEhIAQEAJCQAjUCQI2fogbCUE5CbBYaRJDXmlE1Z4QEAJCQAgIASEgBISAEBACQkAICIEUCIghTwGSiggBISAEhIAQEAJCQAgIASEgBISAEKg0AmLIK42o2hMCQkAICAEhIASEgBAQAkJACAgBIZACATHkKUBSESEgBISAEBACQkAICAEhIASEgBAQApVGQAx5pRFVe0JACAgBISAEhIAQEAJCQAgIASEgBFIgIIY8BUgqIgSEgBAQAkJACAgBISAEhIAQEAJCoNIIKA95pRGtk/b+85//mA8//NCNZrnlljOrrLJKzsh++uknc/nll0fX+/fvbzp27JhTrr0u3Hzzzeb777933W+yySZmzjnnbJeh3H///ebFF1/M6XuGGWYw//jHP8w888xjlllmGTPXXHPllKnVhfHjx5s77rjDdcc4ttlmm1p1XZF+wBecPa277roOU1H7IcC7d/XVV0cD2HPPPc3000+fM6AnnnjCPPfcc+56165d3btaL/Txxx+b//73v244s846q9liiy3aZWikSTnrrLNy+p5iiilMp06dzD//+U/Ts2dPs+yyy7o9pb1o9OjR5qOPPnLdb7DBBqZXr17tNZSi/X7wwQdZe0ZYYeqpp3bfsoUXXtgsssgiRdtSASEgBISAEBAC7YpARtSUCKy33noZu7Dc76ijjkqc4yeffBKVodw777yTWK69LtrDYDS+//3vf+01jMx+++2XhZPHNfx3qqmmymy55ZaZzz//vF3GaZnxaIwrrrhiu4yh3E4nT56cWXzxxbMwPuKII8ptTvUqhMBbb72V9Uw+++yzxJaPPPLIqJxl4hLLtNdFy4xHY7MCnvYaRsbmLC26h7CfWKFjZvjw4e02zj59+kTjvO6669ptHGk6Pv3001NhagXSmddeey1Nk6nKWEFV1K8VIqaqo0JCQAgIASHQ2AhYRWe09//www8Vn4xM1ttVHKLOmwWBP//804waNcppuNDKidIjMGzYMPPqq69mVXj99dfTN6CSQqBJEPjiiy/MgAED3E9UGIEnn3yycIG/72K9seGGG5qff/45VflihdC8H3744cYKYBMtz4rV1/3mQgDrQyxdjj/++FQTw9KI8qwh6M0333R/x39YI3Xp0sUstdRSzuLt9ttvz9v+aqutllMfK5HZZ5/dWYmsueaa5owzzjDfffdd3jZ0QwhUG4F///vfbp1ieWW52aLdYTVJ+fnnn99wxoY4Y8ffFdb6HHPM4ayh1lprLWeN9uOPPya2f9VVV+XUp70OHTqYBRZYwCy//PJm7733Ns8880xi/WpelMl6NdFV202HwEYbbWSsBsv8+uuvZuLEic6kfsyYMe7ab7/9ZqwW0ey4447m0UcfrencV1555ch8ExPYRiFrUWBOOukkN9xpppnGWG25+3+cQW+U+WicQiANArjjcLCwUna3j3z66admxIgR5rHHHnPVzz//fHeI3mqrrdI0V7EyQ4YMMd98841rz1qtVKzdajT01FNPRc0ybhhkT7/88ou56aabzMknn+wuISTlcLfZZptVZChJ7gcVaViNNBwC++67r0E4NHLkSDN48GBjreXyzmHSpEmGdx8GgEN/SFwL3bSsVY3BrRCG/eWXXza33HKL2Xjjjd2/0047bWIfMBSdO3eO7sGAf/XVV8ZaO7kzybnnnutc21ZYYYXE+rooBKqJwO677+4EV9Ya170zSa60Yf+XXXaZ+5N3LP5edevWzcw888xRcdb6l19+6d6Xhx9+2K31u+66yyy99NKJU5pxxhmzXLIQ2PJ74YUXnAsefVvrYmMtsRLrV+OiGPJqoNpEbSKVYiN/5ZVXnIQKSZU1a3R+j/kI3/XHH3/cTJgwwdXhpYFhRFKbRLwE9913nxk3bpyZaaaZzPrrr2+6Wl/UYgRT/NBDD5m3337bfeAWXHBBs/baayf6ucLg8YHzHz1euEceecT5W/fr18/1m4Z4idkIQmK8zM8fCK15vRk7dqyT1MXp2WefNU8//bThwIjvOeMt5Bv/0ksvuY8pjD6+pUgBe/fubWabbbaspqecckoz3XTTuWv4oybRt99+a+699153OJ177rkNwoVZZpnFWHNOJ0yA2LxoC3rvvfccwwAtuuiirl2e6/PPP++kmzAUXjLvCpVBaAm8JPPoo482l1xyidtUrTuFE3bE1xl+o9yD5p133lTrpIxhqUqFEWAvQHDFs+MdIq4FkmjexyTC55r3k9gIHCipw/vCO5UvzgXr9cEHH3QMLv7YvJdpiP2K95V1x17FIWGxxRbLqcp6ZI+CeA95Bzkcf/31124uq666ak6dfBd4/+L7CFowxswcIARVSQw578sDDzzgsGFPgHHmPUSglUQwAby3YA+zzbjZX2H4/bvu69Ge30fiByBfhvefuAF//PGH097RDpiDP0T78803n/s/+wr7C4QGokePHk5L5/chNHjWvcrtR6UQz4E15Ym9LI4n+F166aUGqwPIxyPh/4yfNQbx7PLtma6ASAgUQGDbbbd12m7eL/aRddZZJ2/p66+/3r0rvOfsUSHx7vlYHOF13iGES4cddphjMHbaaSdz6623JvbBmud+nGDoDz74YMeoYC1CPzDvIiFQSwQ4z2299dYGLTUCrEIMOd9VhEe8FzDycTrzzDMTv48w1AcddJATbvOe8b3C0iROnHWTFGecec877zwnzMWqhDOBdcuLV6/O3xU3gleDdYFAJXzIbaCtjGWic/z0LPOasWbGOfO0H47MzjvvnLGHvJw6dvVm8C+1h8msevaQnrFMcVZ5a36S+de//pWxH6zoetyHHN89y5Dl9GMPeBkrgc4Zmz0gurL20Jqxm0EGn2/+5mel2jnlwwuhD7k9NOctaw+nUZv245dVzgZKyqy++uo542U8+Evbw21Wefx17QE/p7yfg91wMlbYEdUp5kNug/dleG5+zvxrD8iZG264IWMFGdF1KyiI2rSH3Og6z8lunjnjWWONNTL2gJ0Xk0I3eKaWIXNt2oN6hr5DjCwTkVMdrPwc7CEo574uVA6BSviQW6YnYz9sGavRyVk7VqCToY84WaFVxjKMOeV57pYxz1xxxRVZVfDP5h2N7zuWQcucdtppUTtxH3L2qwMOOCBrL/Bri/3TMnJZ/diAZ1Fb1AvXKnuWZejjU4n+jvuQ28NCYll7QMia9/vvv59Vzh5iMvaAkINN9+7dM9SNkz24Z6wAI6c887SHlEx8HIV8yHnPrYYupy32hSuvvDK6vs8++0TDIC6Jx9Qejtzey74T7kOWGc5Yi4D40Av+fe2110Zt2ENe1l7oK9I3z4W+2GesUDZqkz79GKxApmBfuikEiiFgmWW3nnbYYYeCRa3wx5Wz5udRuTfeeMNdY00WImsREu2jVoGRVdSfFa655pq8TVgFRnSmsEKEvOV0QwhUEwHWMeud74C1AMnblbVCcuWsxWlWGb7jXLfC8Lx1rZIv49+1XXbZJasc31Dq8/0uRFY55MpZ15GMtWBzRavtQ46mS9SECIQMOYesc845J+cHI8qC878wqBv/Dw9yMM1WouQYWl8+zpTDJPp7LGKrNc5YTVPEdHHPakEjtK3WPWO1MVl1OKRzwArHxf9DhpyDZzgODu9LLLFE1A+HL16ckDxDzqE97JOyVttScAWkZcgPPPDAaNxWYxW1aTXTGZgDPycO1AQaAiN/bf/9988ag9WCR/fAxEq9M1aTnzV2mA1PhRhy69ue9QysVjzDpgYOCCZCPPIx5NQBO9YAh//w+Rx66KEF8Uu6iQBiySWXdO3wDGD4IetfF7V98cUX51QVQ54DSdUuxBnyE088MWcPYV+xVh7RM4sHdTv22GOje6w1hFYwgn79WE1zFuPLu2JNLqP7vNvsI5TzdWjHWnlE8w7fO8rQPkECQ6Eb1+MMOYdn3yaHYe4j0PPXrFVIhg+7p5AhtxkWonKUh1EtRGkZcoQE4d4WChdtxPusPhGWhkJLhB4IUT1ZrVh0gGe87B/sI/5Aw7gRcISCh3wMOcI/a50Q9c9eQP9+L6Adj1s+hpznyrvOvwSeDOvAOFsNeyEIs+4hEPH9sY9YiwH3u/vuu52Q8YQTTsgS9A4cODCrvhjy1FCrYAoEWLu8E7yD+QTUnHf8/hQK4NMy5Axj1113dW1Yy5msUaVhyKmAAI767I3WWibFzFRECFQeAc60rMNCAiSvDIwLjdMw5IyY7wF9WA17liIwLUNOG5wBaMO6RDkQxJBXfi20RIshQ+4PLsX+DRlym7ooOvDYdGguSjBkzUEy/jDKgcpHGiRSNodxDlsw1Na0OMLZ+kZGbaFR9WRTEEXXYah9FGdrYpnp27dvdI9xe4YcjVsYkdv6o2S4Bt1zzz2RloyDfKhB9gw5bTFuDrocWK2fSDSefP9Jy5CHAo6FFlooai5kIjnUeisBNDPWBcDNk4OqjwRsTXSjubMhhGRNLR1zb30hMzZARnQrH0MONqEGnEjwnukmyn48unk+hhxppjW1d/3RpjUhisZo/dHyQZf3uvXviervscceUTkvFQWT+CGaQmjYNt10U/djYxVVD4E4Q15s/+B+yJBzSPVMMR9F/w7zXvJsfXswV554h21gFseUcvj07zb7D3uEr4PmF2KfCRnvU045JarDuxIyziFDbl1dorYQNlm/M9ce63/zzTeP7g0dOjQaW8iQMw72WPZDIrknWXNEFe1/0jLk1GE8fp4XXHCBa4Y9MbzOe+DJmtdF5WGoPWFl5NuJC7d4f9Eg8O5Z89WoTj6G3JrKRm2BN8/JE4eqcG3kY8gpw77ltSIIVUJtP1rvtOQPdGG/Sf/H8gZBRpys2WS0j7DfioRAWxGwqTrdexB/13y7XnDIHhVSKQy5dfVwffDehJSWIaeOF4j6PbSt81Z9IVAqAl77jDA/ibylGN/8OKVlyDk7WPcp974gqPVUCkNuXUBcfb71kBjy+NPQ36kQaAtDDsPoTf1YjHFTTBtgITqAWZ+onPGE6QCoixbNH5ZgACEY+PCwHDfBQmsdHrD8Yd5G346uo8GnnZDCedugEdGtkCHHvKwUSsuQh+ax9Ocp7DtuVgpT7eeJVgcCv5DJ4GNr/WUyMBjx+fo+8jHk/mNPH7QZT8vGwTrEOR9DHjJN9Omlj9RF+FEKoZHzVhA2N3QmPBCH88i3WZfSl8qWj0BbGXLWrF9bcRNJmDK/x/DRjBOaYq+dRpuE5jc0Ebe+wa4Kh1/fB4x8KITjfmi1EzLkMI2+3jHHHJPVPcy5vxemEIwz5KHQMT7++N+lMOSkPvP9n3322a6p8CCAlUGcvAUOgj3re+duh2nBcFfZbbfdnEYC95l8lI8hD/f87bffPqe69UuNxlyIIbfxPrLqhoLfUPiR00FwgbUTWhGE+1f8/5TD6ibc1wq1rXtCoFwEsERj/a200ko5TbD+YKJZj9781RcqhSEP9+TwnFUKQ471HuNM+77lTEYXhEAbEWAP533IZ6GK6ytr9KKLLsrpKS1DTkUsUWkHpaCnUhhyb5VGCmao2gy5grrZp9XsZA9IUYqNcK4EMSIYUJwIkkbAHoigP1aym1WEIGOeCPZmD2jR3wQNsovWBREicE5YlkIEeYPomwiingisE5KPoBhP0+EDBFHWvh/Gmp1m1fOBhbhIIDf7ccy6zx/xvnIKlHkhTLNAIAiIAC72ABy1SJAIIrJ7IrqyJ7CECH5EYBYCX0BgyQ8ioBVB9YjQmiZoVYgHgZPiAeQIrpWGrMY/q5ifHxdLTSdEgAwfYIlANeDmsQujx4bPOs0YVaa6CPA+x4MJ0iMRpwnGF6cwdR3BCQlaFpI9nLp9hqBtBC0MA3vxLljNsyGSNmvfBxf09f0+Yn2soyYJMhgPUpZvfYdjI6Bk+J74tmnYv5PxuRGMjACX1SD2DE8+qGE4XvbOOJYEboPYE9n3CPzI3kjgG9412rR+3u4HkR6GYJYEeorvCVHnwX98MDsu2QNRThFw5nkVIp4NgTdDKmcfISCVz8ZgD3QuIj1pbzwRvJMyVuPuyhEtl/sXXnhhoeHpnhBoEwJWuOQCT7JnEek5DGJLEDbOMtttt13JAQzDQYX7L0FaOSuUSlYI7qrEz1altqPyQqBcBEjpRzYi9m4rJDZWGRU1xbeeFMIEWg55i3L68mudd6Uc8u+bf1cIhsp3jOtWoVhOkwXriCEvCE9z3ORQFz8IMTMfTTc+y5BRJhItkYTzUbipc9iDefcMGgvXmpy4yLq8YJA/MHNoCikpyi3MZ/yjEY4NJi7t2MK+iJBcDQqFDz6Cajhe+rQa6bxdh3MlOjC5Gq0G0BAF2hOb1W233eZ+MOXcT0tWQ55TNAn3nEL2AhtoSES+LIdg6tiAPVntpOGXRERR5gfzI2p/BPgYkZUgTvFI+P6+ZxL5GyEfv3zE2ochpw7ZCkhR5YlDJ1G0EWx5IU3SPpK0lvMdWMOxEZWVXxJZzZbLiBDfK6u1hzDHcM9g74TC8ZIqsNC+5w8fRDpHmEHkZavdd1kmPFmtnOHHgYio7tYSIGn60TUYfU/l7iNgGBeYlLOPhPnH2SNt/I3EsfPsvfCTKNViyBNh0sUKIYDQhxzjNtaGE6YjfPfk0zdZa7s29RbuA2kzw8Q79G2QuUIkBNoLAfZt65JlrMbapULz3wYEqfAQ8BL5vt9px+zXeqXeFfgZziAIkpO+g2nHla+cGPJ8yLTwdVJheUJjicYlfpDy9/1CR4Oy1157OQ04zJs1hzLWR9wxUxygPEPuFzGSK7Qb/qBHypAwDQiaM7RmcQrHZgMKZR3c42VD7Ut4L18Oz3j9Uv5GC+XTFVHPpz6BWWHOXutGKifSdSVROC60hzCq5EG05rouPQMpS+jDH9jRSpLeAW1XPgpTm6CNZ4MKP8Rp831XYvMBA2v6Hj3zfGMOr7P5kRpO1HgIeOk0I2dvIK1dPkKzBFm/5+idtvEmXF5fa6ruNJxofD1D7tdjqDEinV+cQuuU8F44NhhWpPX5KInRT7qWr34p1/0+SR0OI55RDseLhUySRYLvJxRgsTfceOONTkvOHsL+Q2om9hSIveS4445zKekKUbiPJAlW0lizJO0hfANKpTD/eJIFlG8vtLgoh/EvdVwqLwSwRrSua44ht77ibt8i5zLvHu8ie1lbiFSHEN/wfILQYu2TOhRKSgVVrK7uC4FKIYAFCRa6pAnm/cCqC7IZgdy/vEttJb/W8525i7Xv37fwXcmXvrlYW2nu//+Ew2lKqkzLIIB5smdmyfXNQRcTcv+zaYfcgZCXyGtdOOh5ppO8tNbnMNJshuaO3hQeRj7M9RtqTQGaD1pci851Dqj+YIfmGIbej4tDI+azjI9c36FWJ3x4MLuVJPLcwix4U1MOxD4XKEx2aOKJVirEEo05WioOxL4+OUORstMGTDmmuIcccohzBaAvNJWeQpPdpDlhGeHzNmO+eeqpp0bF0PwhmawVoaHCdBnC3BcNQtIvxCt+0IexgMniF+YVrtUc1E96BGx09KiwTWXmnrlf++wV5PlE04s5tmdwQ6GWjdDu8o57c+TQrNybLIcMGQIrn6OejunDf9zjow7HRp7S8J1EEMi6tKmJ3N6XJIys9B7CXsVeEJruoSHwuITjxYwewaQfM0IJBBfkOGYuHi8sltg3bAR4Z52ASS2CUqwBKOvJHzriGIV/h6b/aDDCZ4HVS768yIXaLPdeqCHPx5DDBIWuQayjkHiufh8JXRTSjom1izaU76NICHgEsCDifeM77a182IN4vxFGlyOACtG1sVvcn+E5qBT0edd5dxlHoRzQpbSpskKgXAS8xYh3peKcgLAY5jzkD8ppH7cRzgN8v8PvZylteUF1zd4Vu1GImhCBtuYhD9MVWU1DhuBtljlyeX0JxGAXtUvbRaRuKAwORhRze7B20cQJghDmGef/niyD5trhZ5lsl4+baL4ENwvT0nA/THtGUCFfj9QId955pxtbmP7IatyychyGgdXCqMJpHn0Y1I30S1b77X4EjLDMcVYANrAhuEtIRET24yW4Ejl3GS/5lP08qeeD0BHkxW4irg7/WuYgQ0R2gsGQ0senSwsDxOQL6sY4rAYs6p82iXRPdGV7oM+6zr18Qd3iEc19ChfqkCqqGBHcjyAeHodCEV6JnO/LWbP8rKaV9qwY0pW7Hw/q5rMgxHuwMQGi5xVGWbcCpqx3n8jWrHF+pDLzz5gALp7IVe2vk0qMIIQEIQujsnOfgGWQZaai1CRcJw0Ya5UcpWGAMu6FQd14n8K0g+wdlpl16feIzO3H4AMt0lcY1I3c26VQPKgbewd7CO8imRQIbuj75F+uhUGb6MvnVeU+gZmIFE+wuzBbBUHofGT6MDUY+yTlrQuI23vI7er7s36t0VTyBXVjL+c74OsQlJEUakSkJ4J+OPZ8Qd3I1BAn3m9fl3z1xYi87GFfVvibYV35H1HcwSkcE98jgoGGFH5fSs1DznPxYyC4pUgIhAgQoJb1wXtFQErOPHz34++zr5M2qBvBGv0+EWZZoJ20Qd2spZIbG++NSAi0NwIEb+X8SIBnAr35b5a16so7tLRB3fg+sdY5U4SUNqgbWYU4l/PjHa0FIbkTNSECbWXIiXAc5hcOD0H8nwjJYZoaGLl4Ci1fhxfO55yFibSaTYc4h+nwMBn2QR3/keF6yJBzqCS/eXxM/m/64vAZUqUY8nx9cp2PbvxDyRg4IBPhuFBdcjyHZLU7EVOerx6pwzwVYshhBshBHG+HjcaaxGddtxqfqE3rtxvdaytDHs6f5+qZhqxJ//0Hwh8/VsqGJIY8CbHqXGsrQ86orHl0FuMbX4PsGWEebNKTeIFfvGwoQApT5cGUhsKesF6YwixkyBnbddddl5OrPKzL/schwVMlGfL43MK/YfaTmESeRyjcjLfBvZDxJKd7KPiIl+dva8qX1Vc+hhwMrKl4lB0hbAtGfZdddone2Woy5DyzpHnku4ZgFuFwnNrCkMMY+f7C9G/xPvR3ayLAtw3BIAI/H5XZ+svmBSMNQ47iw0dHJ8tCPNtKMYac8j7rBUL+Ymka8w5WN4RAhRGwrmxuP+Xch8KLLCOcWfNRMYacuj5dGXxKXAGXhiFHOO9TEnN2rRXJh9yuhGYkggHZg4ObWj7/CfzqQvPg0IeZADw256ULhIM5Ob7GVprlzNAx3yBSdmgGQl2iFeOPiOklkYAxpcSPHL9QyzwayyS78RBoiCBNmJLYfODunk1v4EypMGW3OaadHxamXt4kMPR7pl3MFm3KMFcfc0zMDokWbAURxjJtxmqYsh6rPfhHEaLjAcoTbWpzAAAgAElEQVSKPX+CI2E2nkSYg9MvmGC2nuS3jnkYc8GvHFP/Z555xgWKwgcM/Il0TMTjkDBXZQ42x7CLGIwJHOb+tG8/vs533PupU8+3xf/jEdExr8X8FjNVgsHxbDB7x6/XftxdJGYIU9fQNxZzdz/v0HefsqwPf8/mnnf18xFmcqwfXx5TUjDJR0suuWRUNu6ry1r2azbfus7Xrq6XhkDc3SKfmXb4THwQMt8Tpme4YPA+Y8JJHAP2HczX8dtmHYe+kOwLVrjkzNkxzcZthfUwYMAAt2f07dvXNY1vGAEn2UNYw5i6YeJuGXrnF807wDuE24f3I4+/F7yvBAVj/eNXzX7JnJmD/QgbzOnCPZFx+jVMvVKI9Z5vDwFX2qZNzMoxr056P7iPy4e1DjDWKsjwXlEO/3urGXaZNEJfN/YKTO7YQzAppzwB38CMd5s9hxgVoR8+cTx8cMn4e42ZLC4kvL/sYfaQ4nwA2b9sWpkIjjD6LPj5eSdFpQ331qSAgXGM2bvy4UhZ+gNL2mWftAKZnICUlGMP4XsGyb88jrL+bgsCvJN8WzmHsG9BuPAVI77vYZwN9jfcsjgXcWZiL2Tf5Bvu3VLibRK8MHTzImYMgVEfe+wxQzBI3P14f2tmghsfoP4WAjEE8BUfMmSIW/vs74MGDTL5zhphVSucdWdjT7h8Up+1zr+8I5y3830v+B6G7xvvF+8bZ1Vcv/i+EccmdH2q9sObAs6/2p2o/eZAgAWb9vDCxyXfRyMfGviFpnkRk+qXMrak+rW+Vup4+TiDaVr8w/kQ4ZWo0BzW8bP3PuWUwdfSMxcIFvhoi4RAtRBgDcMQ8itGfJpY90nBwArVLXcfKfWdLDSGWtwDG36l7LMIOEMhQ9px4ufPIQVGFwEM+0j4XGA8iIUBITAoFMAvbZ/1Wo7Unj7IHsJnm4O9XoeqcbUTAqwR3hPeNw71xNjJR/i6FgrMSj2+3wgwiSkTBnj0bSIY86lRk/rh3EAwSISWSaluk+romhCoFQII2tlL+aYQc6pQSlEY7HxZURgvSpx1113XKQeTYowQn2rXXXctODUE02Qx4rtWzpm7YOMFbkpDXgAc3cpGoJSFWcoh0fdSLjNO/VLGVg/PtdTxwsCUWsfPEw2gD8KEthFNJZYOSM7D1CzlBr6oBzw1hsZAoJR9AU1Tqcw4KJS7j5T7frUX8mkFG+H4ymHGqU8Azf79+0dNsaegkYcIoBlGhy+WQq298FK/QqBWCGBRBhNOalaCLxYihFw+WFtYjveb7zSWI3ELtXh7WBkmBTnF4hDBAO2Uuy/G+9LfQqDSCGBh9e6777rc3oWYcfqlrA+AHI6DrCRYiyG8KnTOwIo26X3j/aAu70t7pQSUhrzSK0vtCYE6Q4CPNdGWQ2Lz8ZGquc7fRM1PkijW2XQ0HCEgBGqMAObduAZYP/aoZ4Ql3orBX8RMnDQ2SSb3NR5y1bqThrxq0KphISAEhEDLIlDcbrBlodHEhUBzIICPJ+akoX9pyIzjT4m5kJjx5njemoUQqDQCmAGSkm6bbbaJ4kwQtwOTeYiYEvjN4v/fzMx4pXFVe0JACAgBIdA4CCCUxke9GiQNeTVQVZtCoA4RQJvFRoKpOj/Mg7p37x7li6/DIWtIQkAI1BkC+MUSa4If/ycoHHEoGs3kv1xYpSEvFznVEwJCQAg0LgIEml166aXdmZkc5+W41BWavXzIC6Gje0KgiRBAc0XgNn4iISAEhEA5COCHTlA3fiIhIASEgBAQAq2AgM/uQtYjsrngt15Jksl6JdFUW0JACAgBISAEhIAQEAJCQAgIASEgBFIiIA15SqBUTAgIASEgBISAEBACQkAIlIrA+++/b3beeWeDdq0aRGDWgQMHmv33378azatNIVBzBDAR32OPPcy3335blb6JjUJ6NFIK1gOJIa+Hp6AxCAEhIASEgBAQAkJACDQlAmPHjjVPPPFEVed2xRVXiCGvKsJqvJYI/Pe//zXPPfdcVbu85pprxJBXFWE1LgSEgBAQAkJACAgBISAE6gCBHXbYwWn6CAqYhs4880xXbJ111jHLLrts0SoEmNpqq62KllMBIdAoCOy3336GbB4//vhj0SHj0002IWjTTTc1Cy20UNE6WJXUi3acwSrKetFHVp0CpIu5+eabzejRo81rr73mNmmC5cw111xmlVVWMXvuuadZeOGFq9O5Ws1B4KOPPjLzzTdfzvVqXPj+++/NySefbO6991733Dt16mRWXnllc+WVV7o0QhdffLEZOXKkYUzTTz+96dmzpxkxYkTeIEoff/yxOe+886KhnnbaaS6veD0Q8yClGrT55pub7bffvh6GpTFUAQE+nLfeequ5/fbbzauvvurW9owzzugicPft29f079/fredK0y+//GImTZrkon3XgtB0nX322W6OZC6Yd955zTHHHGM22WQT986eeOKJLhf3xIkTzayzzmq22GILdy0fXX/99ebFF190t0k9uOWWW+YrWvPrpDnzdNlll1U8iE3NJ1SBDhVlvQIgqomiCPj0gcOGDXOm6CIhIATyI4ArCPwTdNNNN7kUnZUm0nrC7EM//PBD5b+H9kAhqjECliHLWKY7Y59p3p9lqDLDhw+v8char7tPP/00s/fee2es8KNmk+/du3fOc7cMuev/jDPOyLlnP8yZ7777Lu/4nn766aw6VlKYt2ytb9gc6NHYjj322Fp3r/5qhIDNzZlZbLHFctZuuMfNP//8GdZqpcgKrzJWqJnp2rVr5s4776xUswXbseZzGauJypkn47ApwNxY4vv6brvtVrDN7bbbLqpjc3kXLFvrm+FcbKrEWndfl/19/fXX0fOywsa6HKMG1fgI+HfPMuSNPxnNQAhUGQGbhjPaly1DXpXe/vOf/0R9WIa84n3Ih9zJOmpLBxxwQORLhBQU7ag9rBo0p4888oj5+eefzeTJk51UdIklljBrrLFGbQfYIr2h4UIjBd5ooWtBX331lXn44Yejrv71r3+ZBRdcMNLuoWH0hCRu2223ddo/tOgiIVCPCLz33nvOqicMvGKZc5erk0BGpAqBPvzwQ6cpf/bZZ41lXNs8FSwu7Aeyze2U0gAWTVgCQOwZxx9/vDOnW3PNNd28/FzJyY0WfaaZZkplOlfKGFRWCAgBISAEhIAQaC4ExJDX+HnCXN1www2uV5jxxx57zB1mPX322WeOScQM2YpfnE+EGPLqPCSrdXbMeC0JhtzTzDPPnGPKGt7HDHbFFVes5fDUlxAoCQH2KKvhjZhxGO1bbrnFLLfccq4d7vP3LrvsYn777TdjtYvmhBNOMFdddVVJ/SQVttYtSZeres1qiaP28Qndaaedor/Zyz3h8zlgwICqjkWNCwEhIASEgBAQAs2BgBjyGj/HL7/80vkJQwTh6N69e9YI5p57buePePnllzutaOfOnbPuc51DLcSBsEuXLtH9d955x/mkQ/g1hsEKLrjgAqdppc/DDz/ckE4A/140WLPMMovZbLPNTL9+/bL68n8wXnwn7r77bsP4O3ToYFZYYQV3GI2Pjyifnqk89NBD3cGbevh37rrrrlnCh8TO/r7IQR7fY6IsfvLJJ2aGGWZwc+Xwv9RSS2VVxf/y/vvvd9fwV2UuIeF/jT8nxBjmmGMOp1mjbU9o9wiigu81405Lf/zxh/MFf+CBB5wGkDQKiyyyiPNficcAYBzvvvtu1DR1feAWnhfzREjgCd9StOmrrbaaWXXVVdMOqeRyCH94Ti+//LKzzFhggQUchmj9kuj33383t912m7PyQIDEs2IdIDxg3qyPYsRavOiiiyJtI+9BGJAGQQkxFoiwCeM19dRTu3UKDpSbbrrpcrpgXETMfOihh9xaR0trTYCdHzPvDcTc4r5F1LvxxhtdPdYBc0EIhr97Uj85HbfwBd67559/3iEw5ZRTOv/xJZdcMkIEoSN4jxs3zliXBTPPPPO4/Y81430khwwZ4v6GsB7ieXl66qmnnNUQhLXQhhtuaKxpmrn66quz0geNGjXKvP7662b99dfP2R+ixhL+w/rl2bMf8u7h882zZ8zhs7cm+W7P8L7eNMXYeH/ZT9gXacMTf/t327ptuH2hGgRu7GPsz8wFjTzCANIr5fOpR4vP3sJexHrHrx8LrY022ii18PfRRx81Tz75ZDQl9mXa8ARe4Epf4Moz7datm/O/88KaOB58v/h+vPnmm24PWXfddd03bsyYMW5vgnguvMMhYaHBe4/FE9SjRw/nh883qhrEd5m5IpyplWVVNeahNoWAEBACQqCOELAfdFENEcDPsGPHjpEfgj2gZk499dSMPehl8IksRpbZi+paZi2ruD2URvcsE5d1zwY7cPfswTBjA4BlLIMTleU6P2sC6vwgQ8JfbvXVV88pS3mr4c1YZjSr/OKLLx6VPeKII7LqMc80ZA+zGct4JfZJvzbyYhZWltGNylpmLacLMPZzfOGFF9x9awqe2L49nObUz3fBHsAziy66aGI7ljnJWA1ZxjJ7UXXLdCeWZWz2oJr33uDBg/MNwV1viw+5ZcQzNphgYt9gaRnjrL7tod/523s84/+CtT1YR3WSfMitpjRjGaeoDXyLx48fH9WxjELGBtjL24c9BGfwFwrJChUSfZitICfLL3+DDTbIqmcP83nnwxheeumlrPL6IxsBy0BHz4nYCPkIfysrsEq8Hfpks75COv3006P2d999d3crvt7DNXjhhRcm9hG/yF5LvAZrWp64zqxgNGODt0XV8BGPr3X/txVE5b1HmWK+ZuX6kNNu+B6F47OMecYKZ+PTzliGN9EH3tclnkZIYZveh9wK4jK8V/6eFWBm1QFX4l4k4cX1QYMG5Yzr0ksvzRA3JV6H71i4V1vhQ1bdc889N7Ee7djAqFn7b06nbbhgBbwZK3huQwuqKgQKI+DfBfmQF8ZJd4UACDSDDzmaCVGNEQgPmeEBxPpcZjiccWiyfomJo2orQ86BCGbRanUyVgOYw2zDQHni0LrWWmtFhyQYlAMPPDBjtafRgQsG9u23347qhAw5fXHY5nBInzYCceKcwovWPzNDgDOPi9VWugMZzGF4eLb+mVG1chhymGUO3b4fDoNWg+MY7DREMDiel6+PkGW99dbLLLPMMlmHSquRj5qz2r1M+Pzo02qz3I/x8G94KIXx5doll1xScEhxBiVtUDereXLPhTnwrGyUaDcOGGQ/r3iQKZ69v2c1lpnDDjsss88++2SsNi66vscee0TjjTPk1iogs/XWW0dlWVPWSiNrftZlI7oPs2MtOjIwY6Eg67jjjovqsE5Dpog1aSN6Zxi71XhmMQchQ2616BmYez8fns1BBx2UWXvttaNrCBhsVOWC+LfyzfBZHXnkkWVBUSpDjpCEdxXhon92c845p7t23XXXpRqD1cpHdWnDpkjJsDbYF32bCKqsFti1Zy1g3LvIevL3WRtcs9po9y/9+3vsef7dZp0VonIZ8lCIh8B1//33z1gNcsRws18i6PVkrRSiewhkrfbZvVvWrz8LC5v1I6rj58O/MORWU+0Esf56+L2gkrUaiO5ZC4MM+x97RPgdYc+xEXGjPmxE+iwhAd8QGz8lEjaEzH3IkIdCEtYQc0dA5IXPjNFamxWCXveEQN0i4N8xMeR1+4g0sDpCQAx5HT2MRhoKDIRNTZWlZQgPPvzfmvhlzjrrrByteVsZctqG0Qul+0OHDo0OURxy/T0OP35caHeteWME8znnnBPd85orboYMOQwr2k4IbXIasqbQUbsc/EImHo2PH481e4ywKYchZyzWFDZqD8asFLI+sVFda0KfCTV7WCp4RpfxhpYMHGj9HDg4xinU5oeH6Xi58O9yGfKQiQ0FHGQB8Bpq5mHNTl131pw9Q6T0jTfe2AlyQu15GH0SJs1TyJBzOIZZ9/NPYsYRRGFZAXNkTWhdn54QTPi6CAY8IVjw12E0iITtyboBZDFRIUOOpYivBxZo7j2Fml8EaKJkBGxAwghDa6KdXKjI1VIZct8ce4B/fqVEWefDHQr3eL7eOgnNZ8ig8m6HxF7n+4yvCyK7+nuFrAXicJTDkD/++ONRXwgJQgYXga4fR2gxhHABIRUCTzTLIYUMcxih1rfDv2jGEXz4awiv4oTgAoyWX375zLXXXhvdBt983y7rKhW1ac3Us7TarKlwDJ4hpz3r5hLds+5XUV88X+ve4u4hFJBALf6U9HcjIODXvRjyRnhaGmN7I9AMDLl8yO2uV2vCdxI/cfyZ8bPD/4+AQPgUe8IH1jImLugYkbgrSfSNr6Qne7AylsF2PswEXiKHLhGM8f32RLRvgpB5wjfXaj6cP6jPMx0fI/MjgjhkGfXoNnm2faTisI49yGW1hY966CNPnl/GZrXYWWOJ91uJv/FjJN9wnJiPZUadf7Mn8oT6/IdcI+8wvo48W8geTPP6Y8fbr9Xf+Pk/88wzrjvWo9VyR11bTbTz1ce3l+eLjzz38eO2bgdZQySeAWuXNeyJqNNJRB5jH1+APvF9jfuD4gNLvyHhM8xzx0/fEzkgPYXPCR9jq5mM7uGzvO+++5pTTjklZ0jh+rapqQyRsT0xX+IuQJQ7+uijc+rrgsl6j5Pe6fbCiHcuaR2yjxFUk7gBkLVoMUcddVTkz46vsxX8GCsscnOz2njnm86eU08Url32avzYPRFAD1988rPz7vIO499PsFB+nrjO3PAHJ4erp/DdCueM/7d/f/HV55sRp3XWWcfw88Q3DQzZI3wcD+75PuwhzsXJ8MR7RhwPT4cccoixgg+XgSQkfNSJSwDhA8+cPVmhgfNVxx8dDNgf6im3e9ZE9IcQEAJCQAgIAYuAGPJ2XAYwcRw4+MGAe6aDYGs+uJf1xzPWTDwneBrD5jATEgesNBQ/XBLozZpsOoYcIsgXRMA3T1deeWUUMC66+Pd/OMxxYIqn5or34+sxn1D44K/DxPq0QVwjCFBIHCoJcFaIkjAoh1GwGih3qI0TAcUQElhfe3eLMSUFD+Lg6xlymPt6I+uznbV+wkBcjDU8lMfH/+CDDzqmBoysu0LOOoyvSz/3MII8ZWjj5JNPzoGGe3fddZeLzk3gOH/wzin49wWCWXkioFOcCPSXRGDgicjfoSAgXDMc/kXJCCDY8zgSyKytFF87Se9zmj6sn7ILshgnggKG65n3FOFQSATWhCH386J8vr0s3n6t/g73Zt4T3smQCM4I8V1hP/cB19inCeAIo05QujijW2j84fsLE89eHReoUZ9gZ3wvCPiH0I8x5COEJiGjHn9/Yc4J+OgDB/p2wvkjXPGCX38/TMGn9zcf+rouBISAEBAC9YKAGPIaPwlrWukOFxxa0LQSyRlCM4N2j5/1BXQMMkwBEn40DNavNWek4UGGm5RNQ2jB4xQeSv3//aGOsjCecQpzCdN3nCGPR2CP10/6OzyAey1WUrl815IOf555zlen1OsIMDyBVRI24bU4k1Fqf9UoX+zZoiXnB4XRptE2Y+HgiQM00ZARLpGTGQrxiQr+/R80eTD7PBPrkuEi9YcMM88fwQxRsz1hXcH6tz69UeTqEF+ue0p61vnei3B9xZ8hc/ACoVBzHp9Pq/+NNQL5t6Ew6nYcFzSkaDHJ5MDPmkgnrpP4+5v0PONtl/p3uD7zrdXweiO+vwgUPPn9HiaWCPI+XRyR33l3uYYWmSwDUPxdCPGFsUfQwTuFIJmo+iERhR4NuWeI0V5bFxfXBwJKG1Qzqw/GQH9+3096V5OuFdu/+Pb474/e36xHpD+EgBAQAkKgDhEQQ17jh4LZ7fDhw12vaBhhPuKHQjQ0XPNaunyHj7hpoU+HVmxKNmiPsX6EUTEOnKEWEjNfiFRcnmDEkrSZhfrKdxBCe5WktebwFpqohynCfD+kbIP5I7UYabmoE+IXx4QDfVxw4dsKhRDx8WDK6hnMcI6k0gIXzLfR8lOPdEfxVD5heiSEK/VG/hkzLg7Eb7zxRtHUTNZXPWLGMQtFA+ZdEbDu8BRfz/46zLjXrmP6DqOAaTjMgH8WaMY9Mw6zj1m7Tw146623JvYRWlJ45jDEGy17EvEcvUUGliih2WtSeV3LRYD0eKSvg8CePS0pRR/mzWicrd++S5kXaq9Zf/79i2tsQ61sbu//dyWuSccNJ0wh6EuybkNBYvie+jIwk6GlTj4Li0Ljqfa9cG8mxZn1CS/aJfuuZ8Z572zciCjFHEJfT/kYclyK/v3vf7u9F6sU0sAhYA7TZeLG5JlxG3jR8PMCPcrH+0CYxvfOW2exhsJUYlhdJFnIhPsXbi5JZYoCogJCQAgIASEgBFIi4JU/fCPz8Tcpm0ouZpkxUQ0RCAOJ2SfiglwRRMsTgdNs/vAoWA3Bh0gD5ok0MNTjZxnk6DrBr8L0ZPnSnlHPMjpZgW7CYET059PbEJTH90XwpngQLwKhEVyLiMWewqBulvkqGdmwT1LrkJbK03333ReNh6A9VnPiblnNS3SdyOlhIDCiLvs58K9Pe0Y9e/iL7iUFWCs0+DAQkdX+ZEXFJ2pwGC3dMq5RU/UU1C0MyEXaIU+WOXJRkUk9R+ogm9/X3bI+4BFeBF8KKQwMGAbIi0dZpw5R4H3QOJ6JzYkcNUVqPP+8rPY8qw+iePt7rHVP4XPkPsHaPLG2rYAgqhcGdbNm6tH13jZll2XqonoELWQtExHemt9mjUN/ZCMQZkUgkKONKRFhSYRx0mKF72A8+FuYrSAMKEZaL8s8R3XD4JGMgPfOtxuuoWLPh0CTVgAU1SX1nyf2DqKm+3bJuhCui3oJ6mZjNkRjJBBk+A0hXRvvNnvUiSeeGM0t3Jut4Cu6TjDDMECajZ0Q3Qufm/8u2JzfUd/WZN29z57CbAthcEWepQ+0RpsEvvTEe+77YRw+6wJ14hHgfVA3xhz2FaZ44x4R7q3ANkMaN6LLi4RAoyHg3wkFdWu0J6fxtgcCtQjqRhpjghNzFq4GKe1ZNVAt0mY85zRpmqwPr8ujTFTY8BAUj2RrzQSj+5QlIjURsolqGx4yCzHktG810S6FGalvwpzk5Pj2RE5yqx2K+uNAB+NFhPjwcMU1T21lyFnwYW5vUl2Rno1IxGG+7DCdDQeuEDNrMpmBoSIdFwKGEJeQIedgHtbjAAsTSmquYkQ74bMCTyKvE4E8xJOUbSHVgiEP55T0fx+5HkbT32fMpE2y2k53kPfXEVT4tE0IGvx1KyF0h30OyDYoVlbUaqI+e0piyLkXpiwicrPVZroqVgse9cGzY23ZAFYunRF9+v7j6els0KasZwmT4vO+046vFzLkCLpIq+fvweDBzJNSLVxrMD+i/AhYbXJWujDwhFliP4vnuGefYl8JKWS6WDuDBw/OIJhBcBi+u3GGPFynpBxDOJhWeGItfrLWCwIZhKOkP/PrAaEaAtSQqs2Q+77z/WsDRrrhsEeFKRYRgpGVA+FoGAndBgSNhh+mG2SevGsIM0OBCv3aAIhRnXAcniFHQBEKQ8K84qFQmGdtTdozV199dYYUiWFb4YGGtJl8A0PcyQTi99fw/Q3TnjFfX4d1xreRPPRh2kK+X6GANuth6g8hUMcI+LUthryOH5KGVjcI1IIhr/ZkxZBXG+GE9mFwwnzOSYcvDqI28nPOYcIG6Mk5/FKfdGUw5r6tQgw5THh40PV1+vTpEzFfftjvvPNOBi1I0hi5RhqdkIFtK0NOvzDY4cE43jf5suOHejQh8XL8DQMWHvhDhpyDZVI/afKlM0409mEu83j/WDqEVgXUqQeG3JoLR6uSNGZJa4G5oLmM4wVDEJ8nf6+yyioRFjDOMGlQPoacezZSc9SWFzxxeEazldQH5UkHyD0O66FWkHRVYXu+PkxLmHOaVGohWd/mLOFS2C+4xFNbZVXWHxECPG/WQNJz89fWW2+9xBRUNvBXFkPmy9uYFJmTTjopajPOkIdp8HwdmLI0hBYVgV2+tU/fSYKY9mbIbUT1aHrsU0n7l8cCQSYCTk/WLSV6f8LnhDAuFBJ7pp96YTnPkHOdfcFbnsAw28B3rhvSsYUMtK/P+xruwwj/QmIvDYVj1KN9hL+h4IFynrDkQYAcjjH8P1Y4MPvVIBudPoOAUiQEqoWAX8tiyKuFsNptJgSagSGXD7nd9WpN1hTbRSzH3xK/WGsSbGyuVJfuhUA0+COTyiZM3+THiO8gfo+k2sI31r5Qrjw+3vjieZ/L0E8yPj/S/FgG1lhtgvO9w6+SVF340Mb9f/HjJTUOkXnxf8d3ED8KruO7SGC6kPAz9Cl0fGTfeP/F/sYnGJ9Gq1lx0YDxL+zQoYPz/ST1GUGC7EE6qxn8WAkcRDoyxkjfREQnzZE1ZzX4fkNheiDaIH0QfpH4gUP4RIdBzAqN1TIYLmIzUY4ZJ/6Z4EdflhlPjAhvmVyXZgnC9zFOBPTz6Zoom4Z4fgMHDkxT1JUBS0/4cvPsrWm/w9yanzoffZ4rzzJMdQde4EsEZVLdEb2Z9chatUIel97NB/bCB5dnQDA2AjdBPJ+QWMO0BYEb/v6sLXzTWZsEmeJZEsmZWAukLiL+AusRYu3i6w8RFBF/c/zR8WfHv3/ppZd2/q3WxNaV8eWiP+x/8He2QieXIslqQw0+qwQnxO/fmusbq9kLi+v/eRDgWbOf8ezwFeYZEaCNGA9gyLMjkFsSWU2qC/aFfzlr0DJ0bv1ZZssFD2NNQvE4DVaj7dKXsS+RGo/9L18f8X7pgz2DPtgfrKDMEIODd8kKhAxtJwWlJOim1f675sIUYvzNmvHvdjxDRLz/8G/aTPuuh9kQiLfBuFnfllF1+6SPSs77aAWsWfuk1Tq7WBH4jvPNIYYD7wh7DnurdS1w3xOwwaefd9LPh/HyLD1Rj/RwvDsQ+yDzt0IZt5fi005f+PavuOKKLmMF+yrZDKD43sdeSswQ4gsQfI6AkqQuo02yMXgK6+HHN2LECJCcfj0AACAASURBVLfXUobYKOwh+Jez7/Tv3z/ykY8aqMB/wI1nT2wSvsU2V30FWlUTQkAICAEh0MoITIGEpJUBaJW5c1jl0ApxiBOj0SpPvvnn6ZkMIkvzs1YRjjnzZE2gjTWvd3/CdFgz+OYHRTMUAg2CAO+j1fY7AR7pyxC6eoKhRwDiA8VRLgz82R5TRHhOuj8IwSQCFZEQqDQCXumA4LoUgXulx6H2hEAjIIAiEGUSZGPROCVOo5E05I32xDReISAEshBAOz5y5MgoHzraNhtjwGn60Nb5rAZUSkofKDiFgBBoPwQQFGMdAaH1hgFZYYUVXI50tP+eGccqq72Z8fZDST0LASEgBIRAMyMghryZn67mJgRaAAG04jZAYcR4YzbNL05ozq0Pefyy/hYCQqAdESCfOW4DMOZoxAcMGJAzGszncS0SNQ8CSWkJm2d2lZuJjUOTmMKxcj00dku4wvh0VI09E42+1REQQ94iKwATdW/Gm9ZHukWg0TSbAAG0asRcQKNmAzkZG4DK+RfzocbvFp9a/IXjsQeaYOqaghBoaATw+bYp0owNvmhsqkzHmGMWDmGCSOwJ8psTa0DUHAjYVHcubomoOAJYe/ETJSNATBxijxBrRtS6CITe1z6WVqOhIYa80Z5YmeMl6JhICDQrAjDaBHHi5wmGHLN1kRAQAvWNAMJiAsHp3a3v51Sp0REAUiQEKoEAQXAJUimGvBJoNm4boaIxjCHUSDMSQ95IT0tjFQJCIDUCYsZTQ6WCQqCuENC7W1ePo2qD2XXXXV2UfFEuAkTxJ/ODGM1cbLiCKT+ZGERCAARC60ebyrMhQWnMUTck1Bq0EBACQkAICAEhIASEAAh0797drLPOOgJDCJSMgE8PW3JFVRACZSKAKxVCIAKM+pS9ZTaVWG3KxKu6KASEgBAQAkJACAgBISAEhIAQEAJCoMURePLJJw3uNmT1mTRpUsXREENecUjVoBAQAkJACAgBISAEhIAQEAJCQAg0AwJkAfEU/r9ScxNDXikk1Y4QEAJCQAgIASEgBISAEBACQkAICIESEBBDXgJYKioEhIAQEAJCQAgIASEgBISAEBACQqBSCIghrxSSakcICAEhIASEgBAQAkJACAgBISAEhEAJCIghLwEsFRUCQkAICAEhIASEgBAQAkJACAgBIVApBMSQVwpJtSMEhIAQEAJCQAgIASEgBISAEBACQqAEBJSHvASwVFQICAEhUCsEvvjiC7Pzzju77i6//HIz33zzFe16++23N19//bU544wzzLLLLmtuuOEGc8UVV+TUm2aaaUznzp3NLLPMYlZeeWWzySabmOmnnz6n3Lfffmu23XbbnOtc6Nixo5ltttlMt27dzBZbbOFyCouEgBAQAsUQ+OGHH1yRCRMmFCuq+0KgKALVSEFVtFMVqFsEGnU9iCGv2yWlgQkBIdDKCMw555zmp59+MuS+vPrqq82gQYMKwvHYY4+ZG2+80cw111xmiSWWcGXHjx9vxowZU7DeeeedZ7p06eL66N27d1bZ33//vWh9Khx77LHmsMMOM6effrqZYoopCvanm0JACLQ2Auxr0AcffNDaQGj2ZSPwxx9/RHU//vjjsttRxeZAYPLkydFEPvnkk4aclEzWG/KxadBCQAi0AgL77befmyZa7kwmU3DKl112mbu/9957GzTgIW211VYGbXf44zB8xx13mFVXXdVwoNl4443NU089lbePzz77LKs+GnzKH3rooY4JP/PMM80hhxySt75uCIFmQGC66aYzU0/9/3UZM844YzNMqeZzwLIGWnrppWvetzpsDgT8O8hsFlpooeaYlGZRNgLhmadXr15lt9OeFcWQtyf66lsICAEhUACBbbbZxpmFo+n+3//+l7ckJqC33HKLYxT22muvnHL/+Mc/zMwzz5z1m3/++U2/fv3Mo48+ajbffHOnjYeZ//PPP3Pqc6FTp05Z9eeYYw6z4oormqFDh5rRo0ebqaaaygwbNsw8/vjjifV1UQg0AwK4dtx6663m/PPPN6uttlozTKnmc/CH57jgsOYDUYdNgYCsspriMVZsEo26HsSQV2wJqCEhIASEQGUR+Oc//2l22WUX1+iVV16Zt/HrrrvO/Pzzz2azzTYz88wzT95ySTemnHJK56OO5u/VV181999/f1Kxgtf69u0b+Zqfc845BcvqphBodAQ23XRTc8ABB8g9o9EfpMYvBISAEKgTBMSQ18mD0DCEgBAQAkkIYLYO04wGfOLEiUlFHEMNeRP3xEIFLqI9h5mH7rvvvgIl89/afffd3c0HH3wwr5Y9f23dEQJCQAgIASEgBIRAayIghrw1n7tmLQSEQIMgQPTyPn36OJNyTGXj9Pzzz5sXXnjB+dGttdZa8dup//Z+eG+//XbqOmFBX//77783X375ZVltqJIQEAJCQAgIASEgBFoNATHkrfbENV8hIAQaDgGv+U4yW/fB3CjTFt8porNDpE0rh/Ap9/1/9dVX5TShOkJACAgBISAEhIAQaDkExJC33CPXhIWAEGg0BAi+hm84qc3ee++9aPi//PKLS3VGoCmfs7zcuf3222+uKgHgyiHS0PhI8Pi+i4SAEBACQkAICAEhIASKIyCGvDhGKiEEhIAQaFcEiJ6+5557Oob3qquuisYCM46J+E477eQioLeFSGsGoekuhz799NOo2uyzz15OE6ojBISAEBACQkAICIG6QyC0QGyLNWK+iYkhz4eMrgsBISAE6giBffbZx+UXHzlyZBQ0zZurc6+thPYdWn755ctqyqdlw+e9c+fOZbWhSkJACAgBISAEhIAQqDcElllmGTP33HObNddc08w000wVH97UFW9RDbYsAl988YUJtWTlANGxY0ez4IILpqr666+/mrfeeqtNEZ3JnbzwwgubtCa2mAuT87ktNO+886bWQn733Xfm/fffb0t3zpyZgFtJEj3aZ+6UEdU3Avh4Y7p+2223mYcfftiwjp544gmz0korGT4UbaGXXnrJmcOzRrbaaquSm/rrr7/MiBEjXD1ypzcy8b7hR8/eUC7xTi2yyCIuOn4xArs333zTsJ+1hdg32T/T0Oeff268RUSa8kllsMjo1q1b0q2ca7hWECwwX477nAoJF7ASYa8u16UioUldEgJCQAgIASGQCgHcBtvK4xTqSAx5IXR0LzUC5C9ebrnlzO+//566Tr6CaP322GOPfLej60SUfuqpp4qWK1ZgtdVWM167V6jsJZdcYiqhieSwTlRsDuyFaMKECaZnz55tFgDQx6BBg8zJJ5+c1d2HH35oFl10UTPLLLOYV155JfVhvtCYda+6COy7776OIb/pppuMD8K2//77t6lTBGk77rijM4fffvvtTY8ePUpqj3rHHHOMefbZZ90aGjhwYEn166kwOdjXX3/9igwJF4NLL720aFuHHXaYOffcc4uWK1aA93jcuHFF32Oi8q+88spm8uTJxZosev+aa65x7hLFaNVVVzUvvvhisWJF76+zzjrmgQceKFpOBYSAEBACQkAINBICYsgb6WnV8VjR8viATm0dZlotCn1WgtK2k3ZcxcZUClZpx1asz6Sxcw2t3EcffWQGDx5szjnnnGLN6H47IwBDgiYUphyz8FlnndVsvfXWRUfFMyaPeUhEQn/55Zcdc4/VB9rH4cOH522LPkPt5M8//+ysN26//XYn0EGDSRT4OeecM28b9X5jzJgxFRti0juX1Hjackl1w2vsv2n24FL2n2J9pt2f0parVH/F2mnLfTBed911zfjx482TTz5pFC+hLWiqrhAQAkJACICAGHKtg4ogsOSSS7oDCtq2ttCMM85oevXqlaqJsWPHOjPIthz2MCn1+ZOLdUpaqbXXXttMmjSpWNGC99Fs4odSjDjowfCgyW4LoZFHEx4nzE332msvc9FFF5nzzz/f7LbbbmaJJZaIF9PfdYQAJuVYaRxxxBHmm2++MUcddZSZdtppi44Qc3TvIx4vDJPNsx86dGjBwHCFNKFLL7200/KuscYa8eYb6u/XXnvNjRcfMfAol/D1L2YB49sGN97DtloXLbDAAqZTp05Fh0yMAPbqtuaK79ChQ2prClwrcC9KIzDINwFcCNLu1fnaqMR13HwefPBB1xSWThtssEElmlUbFUYACxAEJhDCxtlmm63CPai5fAiAO/h37drVzDfffPmK6XqLIODXw/zzz2/4iZIREEOejEtNr/7444/m4osvNhtuuKFZbLHFatp3JTvDv4JfrQi/ZxiBWlJaYUGlxoQGlF+16NRTTzW33nqr85k98MADzSOPPJLoa16t/tVu6QjsvvvukS8upuaFCLeOM844I6cIzA3R1BEM4WqSz/eYwCVJ9WkQ5o/6vBO4VjQDoemHECwsu+yyNZkSQsHFF1+8Jn35Tog/wK9WxF7d1jgHtRprsX5CoUJbBAzF+tH9tiFA9gkEa9D111/v3HFEtUFgo402ctk/sLw74YQTatOpeqlbBIh9gwLh+OOPNyeddFLdjrO9ByaGvL2fgO0f7eRxxx1nRo8e7YI0iYRALRAg7/TRRx/tgoLdddddzo+ef9k8RfWLAKbqaMbTEL7C/MqlGWaYIXVf5fZRL/U4MPiALbIUqZenkm4cCI3effdd9y2dbrrp0lVSqXZDgG8PRMyGtlqc5ZsELjXFiDJYqKyyyiqmd+/exYrrvkUARnvYsGFOgbTCCiskYuKtFnEBIqBjNcivIdqWYKwaCKdrs5T1gGVRWy3B8o2qGdaDGPJ8T7eG1ydOnOh68//WsGt11cIIYEbkg05haUDQJTTlIiHQigjgT+8JFxxRYyAAU3Xssce6QzkZAmAURPWNAFaBEELgNAFVqzWbG264wSlDunTp4mKpiIojwJkBzTexQ/IFavTMUSFXqeI9pS/RVlfJ9D2pZByBNOvBZxBB4VgLpWNb3bHic6zV32LIa4W0+hECdYZAGGX55ptvdsw42nKREGhFBLy5OlYB5FIXNQYCf/zxR6Qhq0Tk+MaYdWOPEoaOg3w1cvl6ZFgXoZAtCbGffvrJXfb/JpXRtWwE0mBGXBKYclyafDaQauAIo0d2iR122KEazavNFAikXQ9YSqSNn5Si28QirAdcPBvVPUUMeeJj1UUh0FoIcDBKm/+9tZDRbFsFAc+QE8cjTf7wVsFF8xQClUbg8MMPN/yqSWSRUAT8aiKcv21ilEB77723fMjzw9Qyd8jAApEKVD7k+R/7lPlv6Y4QEAJCQAgIgdZAwGvTZK7eGs9bsxQCQkAICAEhkBYB3KKw7CH2RTVIGvJqoKo2hYAQEALthACmgoMGDWpzurx8w0d7vNlmm5ntttsuX5GGu4556xtvvOHGrYBuDff4NGAhIASEgBAQAlVFgCxEWH3gkkEcDFIKV5LEkFcSTbUlBISAEGhnBB566CFz9tlnV3UUDzzwQFMx5G+//bbxgWfEkFd16ahxISAEhIAQEAINh4APRkmkeBQfYsgb7hG2xoDHjRtnzjnnHLPHHnvUPDd4ayCsWQqBdAiQQxtfrQ8++CBVBSLhwozOP//8pkePHkXroCHfcssti5ZrpAJeOz7FFFOYG2+80QU43HzzzRtpChqrEBACQkAICAEh0KAISEPeoA+u3oZ91llnmYsvvtilDrnjjjvqbXgajxBoGQSIEu7T2aWZ9HzzzWc+/vhjlzKq2pr1NONpjzIENJx22mlNt27dzIgRI8yoUaPEkLfHg1CfQkAICAEhIARaEAEFdWvBh16NKXtzT/9vNfpQm0JACAiBaiCw9NJLm2+//dbst99+rnntY9VAWW0KASEgBISAEBACSQiIIU9CRdeEgBBwCAwbNswsvPDCBrNmkRBoZgSmm246g8m6SAgIASEgBISAEBACtURADHkt0VZfQqDBELjrrrvMW2+95XySCWQhEgJCQAgIASEgBISAEBACQqByCMiHvHJYqqUmRADf2smTJ5tZZpnFdOzYsegMJ02aZCZMmODSIsw777zmr7/+SgyuhTauc+fOqaI0fvnll+ann37K6pvAWoxppplmKjqmthQ48sgjzZgxYwxRqM8991zD3yIhIAQaG4FPP/3URYmdeeaZ3a8Y/fLLL+bzzz83U001lQv+B73//vs51Yg6y76EP34x+uqrr8zEiROzimGhQP0OHToUq677QqBqCBDU8bnnnnOuK927dzeLL7541fqqx4a/+eYb8+yzz7r5E1dDmSfq8SnVbkysB94HvgNaD9XDXRry6mGrlpsAgeOOO859kL1vabEpHXvssa786aef7or+8MMP7u/4b+6553aHVhjqJZdc0pxyyik5TLfva//998+pv8ACC7hDKwfgeeaZx/Tv39+88sorxYZX8v11113XbLrppq7eySefbDjIi4SAEGhsBAjex56UNpf8kCFDXPmjjjoqmjiB8OL7GkJIhI0zzjijWWSRRczxxx9vvv/++0Sw/N4atsFhD8EnAs255prLbL/99uaZZ55JrK+LQqDSCMB47LTTTmbOOec0G264oQvsCDO66KKLmgcffLDS3dVde8TR2GWXXcwcc8wRzZ/zCe/y/fffX3fj1YCqi8B3331ndt11V/c+bLDBBu590HqoHubSkAfYIg1cf/31i6JNWiGYE1HzIwAjfs0115jRo0cbNqdC2iTWz3XXXedA2XfffXPA2Wyzzcw000zjrmP+jdb7ww8/dIw0v6uuusqQQ7pLly45dbnARtizZ8/oHuNBw0Tdq6++2lx//fUuujYbaCXpvPPOM+SdRvuPhtzPsZJ9qC0hIARqh8ABBxzg4kNg/UJmDCLt5yOsfK688kp3O0kwCeMCAw5hTcQ+geAOqxoEjdRlXwv3rrAvYlQstthi0SWEmLTx8ssvuxR0N998s4v+f8ghh4TV2u3/WCd5Cv/fbgNSxxVBAIuNVVdd1bz77rs57ZEWkbPhtddem1qIldNInV/AKmC11VZz722c3nzzTcegc84QtQYCCKdYD7gsxknrIY5IZf5uWYacg8O//vUvt/nyL1LQP//80zz66KNFkcVs7/nnny9aLm2BL774whXNZDJpq6hcjRBYeeWVzTLLLGNeeOEFc9NNNyUy2n4ot956q4vUvPrqqyeauHEw7dSpU87IX3zxRcdEw1jz0X/ppZechihOO++8sznssMPilx1TjrZp+PDhztebw/Xaa6+dU67cC7R3xBFHmBNPPNEx/XvttZfp3bt3uc2pnhAQAu2MANrttdZayzHKCBzZP/IRmjEEhzDOCKPjxL6DljtOHOR2220389RTTxksbV5//fWIcQ/LonU59dRT49WdeSTX+bHvsQ9tueWWOeVqfQGhLCkCx48fb5Zffvlad6/+qoQAAh/OgwhZeB/4zvGsx44dawYOHOhcz/bee2+z5pprOuuNZqODDz7YMePM/5hjjnFzxX2E+R900EHORWWfffZxP1HzI3DooYc6Zpz1gGUUz33WWWc1Dz/8sHsftB4qvwZaliFH0nfGGWc4RNlo8Y9IS2xQyy23XNriqcvJHDg1VDUtyIcZzdDIkSMLMuSXXXaZG1eSFqnQgEm5dO+997o1heTxwgsvdB/AtITZO1psDrCMgY0UJr+SEaPZkHlnOIQeeOCBrn2v7U87TpUTAkKgfhDAigeG/PLLLze42uTbL/y+hutMvjJJs1pooYXMPffcY1ZYYQXz3nvvOS334MGDk4omXsP0HQ07wnNM5hEKbrLJJnWx79xyyy2JY9bFxkQAZQiWGBDM+EknnRRNpF+/fs5kGysOhN8nnHCC2WabbbImilIFIddKK61U1wBgeYKWH9eQ0LqDeaFwSJr/xhtv7Ez2+WHVh+WKqDkQ8OsBgWq4t3Md5Qt09NFHZwlM+/bt694HrYfKr4GW9SH/5JNPIjTD/1ce4vQtookV1R8C+JThr/3000+bV199NXGA48aNc9YVs802m9liiy0SyxS6iMSdAy+Exqoc4hAx9dRTuw9mpf3JORwPHTrUDQtNF0IDkRAQAo2LAJppYlkgZHv88ccTJ0JAyTvuuMNptrHQKZXQMHqrnnLNXREWzDDDDG6cSr9Y6hNQ+TQIYB2J4AfChzpOMCxYvkG4hWHxEf54N1ZZZZWSFDvxPmrx91JLLeUUBljihePnzPLHH3+4IRCPJk7ErPFWcd6iM15GfzceAiuuuKJbD+utt17WeuDb4NdD0vvAesBSBOIbIaoMAi3LkLcFPhYvDFglfxw28NMV1R8CHEZ33HFHN7B8zPIll1ziXA4w8yLQWjnkzTHRPuNHWSrB1KONgrDiKEY9evQw008/vfNZJ+J7MWKTxo8MIlgTUZdFQqCREcBvFFNVzPBajRDe7b777m7a3kc8jgFxLWBUEEqmyTIRr8/fXkDJNw5rtFKJfr0LDhr9OLE/o/Fj3+3Vq1f8tv4WAiUhgKVZEv38889Jl6NrfP+xbCPmQj0SVh2cWYtRsfnjsilqDgTSpLItth4UR6Nya0EMeRlYIq3nAFDJX9euXbNMiMoYlqpUEQHMtCG0PF6S7rtDkgijzocKH+5yiQjFEB/0zz77rKxmfEC4NFYfrDkCOhGwJq35OabxHHx//PFHM2jQoLLGqEpCoF4QYD2Tzg9z6FYkBIjsW5jrYqYYJ9x0IMqVS1gN+TRo5bplFdrXOBBiEUSKSjHk5T6l1q7HO8C5DsK1Ik5YZjz55JPu8r///W8XKyb8nXPOOe7eE088UZfWYwToGjBggBsjpsZoNcPx814inIfOOuss929IzN1bp/hzSryM/m48BOBhILJthOuB82eh94F17q2qtB4q99zFkFcOS7XUxAjgM0MEVj5k9913X9ZMMelEW4yvFUxuuYSmxwdzK0dDTr8+Cnza+gRt8RGS04wbPzmCv0Bo1QjYJBICjYoA1ihQMwZpSvNMYHTxCYQZHzVqVFaVRx55xMW0INIucS7KJXwTfTDLtPtSvK9i+xqHRxh/kRAoBwHWqHcZQ+iONRhxXWBECSqIZRiCclKM+mBvrEn/QzOOCThEvBUCXtUT8c3m7IJVDFYvs88+ezR25oDrCpkXIOZPqtP//ve/7vtOCldM3DHrJ/2VcpLX05OtzFg4d4brme+hF+CQVYfYHcQD8euBFGisB8qR/UdUGQTEkFcGR7XSAgj4VGZea+SnXG4wtzhkpE3zJkTlmoeiuYbKrR8fU9LfZCUg4jEmenzE2ZhFQqAREfABilr5UFHtfY114Rnxcvclv68lZaloxHWnMdcfAqSy7dOnjxvY7bff7phw/MKxBENgxdolk0qSABuGHrc17hH4DIuSesmaA2NNIDcIS6Bll102EXzm74UKKBk22mgjQ5YZYjgQ9I04Osy/XJe8xE51sW4RIKuOTwN95513OsFtfD3gBpGUEahuJ1XnAxNDXucPSMOrHwS23nprJ1lmc8L3FMI0nLRABH3xH7NyR+zzf2I+ly8XebG233nnHVeEoBvVIkzbfIYC0sERpVkkBBoNAUz0vGtHK2t90HZg+YJG3PuYwkDfdtttTuvc1lRjmJJ7P8Ry96Va7GuNtn413soiAKMJ84pGODTDxd1i2223daluC0VRxzrOR2d/8MEH6yJnN4Isn6YMdw6E6fmI+aMFJaNBeP5g/qT5Y/5YCYpaAwEY7bvuusu5cKCA8cR64CxMZqpWWw+c/yEyGxHouNIkhrzSiKq9pkWADxb5wtFi+5QQMKNoiNEytTW4BYcBiGj7SVL4YsBiNk8OcygpX3Cx+qXc33777V0eY4icpV9//XUp1VVWCLQ7AmEmglZmyNHuEfsCjZ6PhE5MDIJY7bHHHm3WiPl9DaElprGlEsIB76/oI/uW2obKC4E0CBBLhTRPxFZBWIcg6Pvvvzc33nijE7oXI0zXPZPC/8uNmVCsn7T3MZ9HIMbZBEs+H8shX31M2tGix+ePJhShnai1EGA9kCXjww8/jN6H7777zsUcIShwqxECOVxZiKeQNu5SKRiJIS8FLZVteQSQNvNxw68GwhQMSdluu+3WJmxgaIcNG+ba4BBcDmFiRIC55Zdf3iy++OLlNFFSHQJisWGjaSQ3q0gINBIC3lyd97fVD5vsORzW2c9gzPEzZZ/z2rVynyumrmjcoHL3tTPPPNOZDPfs2TNKPVXueFRPCKRBACEV/uIwHaWYaIeML4Ik75eeps9Kl8Hi5eKLL3bN4lpGLIhSqJz5l9K+yjYWAn49FBPqNNasSh8tZvzVEuCLIS/9eahGAgLeFLFck8SEJuvyElEpMU1/9tlnHVP+3nvvuQiVBEcrl8jrjb8W+T3xZfWpiNK2x6H3uOOOcx9fzN2JAlsLWmyxxaJAMDfccEMtulQfQqBiCHgNOcIrn8rHa8F89NmKdVbnDc0666wuPRnBqG666SZnntrWIJXsjQQDwgwePNEYlkKYueMaA0MOgzR06FD3bz0QlgSnnHKK4mfUw8OoszEstNBCzu8awhc7HiyxFsPl3SH4HMK1+eef3wWmEwkBIVDfCExd38PT6BoFAQKfkJ8dc+tmJ8zTibQ+cOBAN1UfFKnYvNGih2YuSNDJy/vuu++6DycaID7g+UxhMCN9+umno24IAjdhwgSX8ocPMPUILFOqJLzYuAvdJxAMJvzLLbdcoWK6JwTqDgGvIQ+l3fhT4/YR+szV3cCrNCD2MVxx0KaxH6Xd14jGG7rYICDExJGYGESmBsu77747SqsUH/7o0aPdHujpt99+cy4w7GtoxhGWwIwjIKgHYkzs5cyNvbZ37971MCyNoY4QwI2LwHDEWNlvv/2cC1ktswAcf/zx0TuFoB6fV5EQEAL1jYAY8vp+Pg0zOg5NRGBsBerXr5+TOnPoJB3QCiuskGrafKDjRLoehBgEyeAgXMh3HAbCMxG+HUzG8ctcZ511zCGHHGLQWteS+NCPGDGill2qrwoj4CNYkxanVYi4D2+88YabY+iB3QAAIABJREFUbtz8rFUjrq+++urO1eXVV191Gm0fYbfYmvA+4mE53ADYiwgIB8Pu05YltUVqNX4h8T0hxRLpl9Cs44ZTL4TAAGYc8sHq6mVsGkd9IMB3mfgynA0IAItfdjw7S7VGivXeueee65rH2i7te1yt8ahdISAE0iEghjwdTiolBCIEOCyiqSa9SbE0Ptz3kYvjEBKxsRAD7svD8J511lnx6k7jNMccc7TJjPOJJ55wc1h00UVz2teF1kCAVFJYaxRimpoNCYI1eWaqVRnwpGf60EMPGQQ07EvFglRikp5EuO8U2xephxktAbTiBDPP3ujdCOL3k/5GGw/jU0vroKRx6JoQ8AgstdRSTkhODAViMuDahgVONQlrNWI1+JzhRMgWCQEh0BgIiCFvjOekUdYZAjDCaYhDbVv9UdP2lWY8YRk0YRxgYew5zFYjjUOpY1L52iPggxa1EkPuLU3wSa5FAMTaP9XyesSXnF8aauu+hglvJcx4CWS54oorOqHSM888U1fa9DQ4qkzzIkAaNNKkYgFCgMTXXnutqubjp512mrNwgS644IKWErI27yrSzFoFATHkrfKkNc+aI4D2GZ/wahEMFOac5Ua9JIgcvqJo+tGKiSGv1pNSu/WGgA/ohn9zKwkiKvEcrrzySpf6hb2jGkS+5MGDB6fWkJOeDWYcIvWjSAjUCwIIOzFdR/BNKjEsQmCUq0Ew/QRBhLbZZhsXpFEkBIRA4yAghrxxnpVG2mAIYDr21ltvVXXU8847r9lxxx2r2ocaFwLNhoBnyOP+4802z0rPB99pNH2TJ0+udNNZ7ZF1olViklQVSDXe7giwjgnsBiN+0UUXmW233dYFeask8V5y3iC+AS4jpCQVCQEh0FgINCRDTnTpvn37mhdffLFstGnDE/42IiFQaQQI0obvWBpNEtrqTz/91PltEiguDfHhXWuttdIUVRkhIAQCBLzJuvzHS1sW7E+kISOQW5p9jcB5n332mfNJX2mllVJ1RraJZZddNlVZFRICjYCAf2dIK0g6MjI5VNIijVSnTz75pIOCgG7VcnNrBKw1RiFQTQS+//579+56V79K9tWQDDnRgMeOHZvqQJAGLHzQREKg0ggceOCBhl8aOv30013uUl7y5557Lk0VlRECQqAMBL799lvzySefuJrSkJcOIIGq+KWhPffc05nsLrDAAuaBBx5IU0VlWgABtMb4+5NlhIjk1aA0AqNq9JvUJvMkJem6665rCCiJSwZMeiVo/Pjxrj1oww03NDvttFMlmm1TGx575jhs2LA2tVWoMikIERJyZqp1hplC49K9bAT8eiA48fnnn181eKq9HghkihAfVzeEzcSgqSRVZyes5AgT2iLl1D333JOTAiqhaN5LY8aMMfygakg68nasG0KgBRDAhI6DePfu3c3aa6/dAjPWFBsFAW+uznjFkDfKU9M4mwkBrBv5RpCzvj2JaP6Q/7eaY+nTp4/ZZZddnNXc0KFDXarT5ZZbrk1dwuigcScOTIcOHQw5x6tNPhBjIczCtIC1SA143333iSGv9oPP034p6wHL5NA6OU+Tbb58//33V2U9wIQTswRXVPYu3rlKUkMy5ABA+oi2pJBgUXiGvJKAtmpbbMDkv8Tc+h//+EerwqB5/40AFix77723E3YR9bVHjx7CRgjUBQI+5zVmZwsuuGDOmGAWunbtqmBvOcjoghCoDAIc4rFSIc888QKqQRyYDz/88IJNE/yMb1StBHNoizl34p6Gzzdnpracl2DAH3zwQTdHtNFdunQpON9K3OS7DjNeyAXFpyzs16+f2XjjjSvRbU4bnOEJagvpfJEDT80ulLIecDXeZJNNqjI2BD8HH3xwQ6+HhmXIq/JE1WjZCJxyyinmhBNOcAF/CFwiam0EMOshFzHRj/loYtEiEgL1gMAyyyzj1ub222+fE8kb32gYBHIItyVGST3MU2MQAvWKgDdTR0PMgb4axLfHu0nMPffciV1g7rz55psn3qvGRfadESNGOEEEljow0ccff3xZXRGb4ZhjjnF111xzTXf2qgVNM800TrtfiNZZZx2nQSSAXbWCzpIZxjPkhcaie9VFIM16wDqE95H1sPPOO1dlQLTvGfKqdFCDRsWQ1wDkVuiCYCWQ/7cV5qw55keAXMYIaA499FAXAIr0b9WSjOYfhe4IgVwEyFlNYJYk8vsXfpkiISAEGhcBmF/S89Ub8R3ccsstzahRowyKDAQC5fg/E7ndB5i69NJLK+7P2hbcbrnllrZUV90mQ+Cmm25qshlVZzpTVqdZtSoEhECrIzBgwIDIFJAgULXwHWp1zDV/ISAEhIAQqG8ELrzwQoPZ/u+//+5M10vN9HPNNdc4ITd08skny2S7vh+3RicEUiEghjwVTCokBIRAqQhglkhETSJRonkcMmRIqU2ovBAQAkJACAiBpkIAZpyI0xDR5kvJG/7111+bww47zNVdfvnlG95Mt6kerCYjBNqAgBjyNoCnqkJACBRGYPXVVzcEzoHOOOMMI1PgwnjprhAQAkJACDQ/Av37948CEw8aNMiQUikN7b///uarr75yweDIZOIDqKWpqzJCQAjULwJiyOv32WhkQqApEDj77LPNjDPOaIiCWSzqbVNMWJMQAkJACAgBIVAEAaKkzzTTTC6VEunLiuVOv/POO433zz722GPN4osvXqQH3RYCQqBREBBD3ihPSuMUAg2KwLzzzms4PEC33XZbXQbaaVBoNWwhIASEgBBoUATmm28+ZzkGPfzww4bgbPmIKNIEcoMWXnhhc/TRR+crqutCQAg0IAJiyBvwoWnIQqDREMDnrVevXm7YAwcONL/99lujTUHjFQJCQAg4jWbnzp0NKbNqkfdZkDc3Avvuu69ZY4013CSPOOII8/HHHydOmMCo5C9n3WGqTv50kRAQAs2DgBjy5nmWmokQqFsE8HcbPny4G9+7775bUhCbup2UBiYEhEDLIcBeRo76l19+uax0VS0HmCZcEAEYbDTj0003nSG3Ngx6nB566CEzcuRId5lUoiuvvHK8iP4WAkKgwREQQ97gD1DDFwKNgsC6665rNt10UzdcUrUg7RcJASEgBBoNAUyNy8kd3Wjz1Hhrg0DPnj3N4MGDXWf33HOPuf7666OOf/rpp8i/fIEFFojK1WZk6kUICIFaISCGvFZIqx8hUGcIEGgNIkor0vlaEOldpp9+ejNx4kRz1FFH1aJL9SEEHALvvPOO2X777c2YMWOESBMhgOnuNNNM42bk97Qmmp6m0iII4NZFGjMIt64JEya4/x9zzDEubSjpQ9GkzzDDDC2CSOFpvvDCC1EBUseJhECjIyCGvNGfoMYvBMpEYKWVVjIjRoxwUVs7dOhQZiulVUOz5COtX3fddS6QjUgI1AIBov3feOONZsiQIbXoTn3UCAEY8lGjRplhw4aZ3r1716hXdSMEKosAgnF8w3GJ+Oabb8xBBx1knnrqKfeNhjBl79OnT2U7bdDWTjvttCwsTj31VGd99+effzbojDRsIWDM1AKhdATwH9tnn31Kr5inxq+//mpeeeUVF0Fz7733zlNKl4VAZRFA4u6jtla25cKtER32mmuucTnJDzzwQPPSSy+ZqafWVlQYNd1tKwKsMwihkKi5EOjXr19zTUizaUkESGOG5RguXQgPH3/8ccdkzj333AYmVGRc/Ibjjz/e/PXXX1lw3HHHHeb88893ggyREGhEBFr2FBwyAKUyAx988IG55JJLKv68MVkSQ15xWNVgnSGAefzQoUPNFltsYV5//XWnoceUWCQEqoUAh1rWGrTEEktUqxu1KwSEQAoEfvnlF1cK/2hRNgKDBg0yo0ePNq+99loUcf3CCy80nTp1ElQWgbFjx+Yw4x6Y008/3QkxROkQIDBlM1KjWkq0LEO+0UYbGcxc+DDAGJRCs88+e0UPde+9956ByZ955plLGYbKCoGGRWDzzTd3792dd95p5pxzzoadhwbeGAgQ2f/nn392g11yySUbY9AapRBoUgS+++47N7NXX321SWdY/rQwWceKbKeddnKNLLjggmaTTTYpv8Emq1lIMPHll186Ab+oNAR8DI7SatVX6T/++CMa0BtvvGE222yzig8wxKlURW6awbQsQ7700ksbGOFPPvkkCqSRBjDKrLrqqua2225LW7xoOYJ2nHHGGaZjx45Fy6qAEGgWBPD7RCBWq4ByzYKb5lE6ArgEeVJ07NLxUw0hUEkEYKoIWrboootWstmmaAvG4pxzzonmMm7cOHP//feb9dZbrynm19ZJbLzxxma22WYzX331VVZTuOAts8wyUmyVCPBMM81kDj744BJr1V/xkEFeaKGFqjLANdZYw+ywww5OSEZw4kpTyzLkAIlfDj9PBIchCnQx6t69e7Eiui8ESkLghx9+cOVDKV9JDTRoYTHjDfrgGmzYniHv0qWLmWWWWRps9I073C+++MINniBVIiHgEfCHWZgBUTYCZ555pnn++efdRazHeIeIWYQ1gbIIGIOFKv7iWBAgrICIPH/BBReY/v37azkJgSjrRqWhYJ0RjLha1NIMeRxUJCwDBgyIX9bfKRBAmAH5f1NUUZEAASKsQmJQtSyEQOUR8L5yxczVp512Wte5/7fyI2mtFjt37uwm7P9tltl//fXXZtKkSaZr167NMiXNow4QePvtt80pp5ziRkKgwkMPPdSsvfbazqUR3/Jzzz23DkbZ/kMgQ8yzzz4b7SsjR440W221VfsPTCMQAm1AQAx5G8BT1f9DwKeyqmT0+VbCF6kv1Ay+PK303DTXxkDAa8iLBXTbeuutDf5nq6++emNMrM5H6eOiVMO8r72mPnnyZIPbA1p/Am/16tWrvYaifpsIAaKG77nnnoasO7gvEshtnnnmMXvttZcLIjx8+HDHdK622mpNNOvyp+KVGLSA371ICDQ6AspD3uhPsE7G36NHD3PxxRc7Hx6REBACQqBeEPj++++jaMXFGPIOHTq4DADVCAhTL3hoHG1D4McffzQEj8K96P33329bY6otBP5GAIb7sccec3/hQw4zDp111lkGV5uQYRdoQkAINB8CYsib75lqRkJACAgBIfA3ApirZzIZ91cxk3WBJgSEgBCoNQLeJJ1+MVHfddddoyEgJLzooovc36FJe63HqP6EgBCoLgJiyKuLr1oXAnWLAH6QWDastdZaefN61u3gNTAhkBIBb65OfAbWu6j5ENhwww0NwVY///zz5pucZtTUCCAsxNWPmAQEjbr00ksNEcNDIk0v0Z2hMOhbUwOjyQmBFkNADHmLPXBNVwh4BF566SWX+u/hhx82MOf1QhxQJk6cWC/D0TgaHAEf0I0US6HfYYNPS8P/GwH2invvvdeZjz/33HPCRQg0FAKXX365S2sGnX766aZbt26J4ycDELFmcJXYY489DLEMREJACDQPAmLIm+dZaiZCoCQEvBkvlcL/l9RIFQpz2CAY1M0331yF1tVkqyHgNeQyV2/OJ1+v+1hzoq1ZVRIBLDqOPPJI1ySRw/fff/+8zZOucdiwYe4+QkZiXYiEgBBoHgTEkDfPs9RMhEBTIEDe1T///NMcfPDBhgBKIiFQLgKso9dff91VLxbQrdw+VE8ICAEhUA4CBxxwgPnuu+9culg05cUseLbbbjuz+eabu64GDx7sMkKIhIAQaA4ExJA3x3PULIRA0yBAHlYOJmgPTjrppKaZlyZSewTeffdd8/PPP7uOpSGvPf7qUQgIgWQEbrzxRjN69Gh3E+Z6kUUWSS4Yu3rBBRc4C7LffvvNma4jdBQJASFQfQR++ukns9NOO7n3tRokhrwaqKpNISAEykaA1HkcNCBM9F599dWy21LF1kbAm6uDArmjRUJACAiB9kaAHPYHHXSQGwaCwsMOOyz1kOaaay4zZMgQV/6pp54yI0aMSF1XBYWAECgfgUcffdRcd9115sQTT4wE/eW3lltTDHkuJroiBIRAOyNAcJtZZ53VBbDBdF0kBMpB4J133nHV5p13XoMPpkgICIHWQeD33383/MjhXU80cOBAM2HCBDP11FM7U/VpppmmpOEhsF5vvfVcnWOOOcYFNKwnIuBcPeJeTxhpLI2HQBhIkbNppUkMeaURbdH2iBJKFOPrr7++RRHQtCuJQOfOnZ0UEnrooYfMrbfeWsnm1VaLIEBKv65du5oBAwakmvG4ceMMFhpHH310qvIqJASEQH0i8NVXXznfbH433XRT3Qzynnvuic5JRx11lFl22WVLHhtp0S6++GIz44wzGsxo99prr7oKzEo0eHA/+eSTS56bKgiBVkVg6laduOZdWQTwhyLAyNVXXx3ly6xsD2qt1RDYd999zciRI82zzz5rDj30UEOuYfK0ioRAWgRWXXVVM378+LTFXfqhF1980XzwwQfmjDPOSF1PBYWAEEiPgPd7fu2118wtt9ySvmIJJdMEBCVC/5gxY5z/9jzzzFNC6+UVZUx816BevXqZQYMGldeQrYWgkXgrWJAhtOZbudtuu5XdXtqKWBvcd999TpAA412ICKhZref7yy+/FOpa94RAwyEghrwOHtkaa6zhUlj06dOnDkZT3hC8SVi9mYaVMxs2+mJpwAg6hgRYVD0EppxySnPuueea1VZbzXz88ceOQZLEvXp4q2UTmbY2wz4WPk/mg/a/GHXo0MHMMcccxYrpvhBoEwL4UENorttTez1q1Ciz9dZbu/gStYhVcsQRR7hvGd+2yy67zEw77bRtwhHLH6zHHnvsMXPIIYc4M/ZqCxYuvfRSJ1Tg3PrII48kjv/XX39112HGq8WQhx1/+umniePQRSHQSAjIZL0OnhaaPyIBw3yI2h+BOeec02liC/169+7d/gNtgRGsssoqLqolRCAb7xPcAlPXFIVA2QgQgfnbb7+N6vP/nj17Fv2VElyq7MGpYssj0LdvX4PZdXvTZ5995obg/63meB5++GEDMwvBSCNobiuFjP0PP/xg9ttvv7Y2WbQ+2U8g/29ShWLp25LqlHutY8eOZuONNy63uuoJgbpBoKYacm8OyOwXWGABs8022yQCccUVVxj8f6D+/fsbGKRKEA75YfAMNmHv89ypUyez5557VqKbstoguIenu+++27z55pvuT3Ln+uAdYcOnnXaaGTt2rFlzzTVzzJ6QTj744IPOjImczpMmTXJpMjDL2mCDDZSP928gMR9jI8ckGjyRMKcl1s6ZZ56ZtnjRco8//rgrU41AEUU7r/MCZ511lrnjjjsMBw6C4dx77711PmINTwi0HwJ8O/guwIQPHz68pEP6008/bfbZZ5+KDf6JJ55wbeHnKhICHoGbb7656mBwhixmUl31QfzdAQoX7+ftTc0r1bc3fcf8/c4773QaabT+7Un+nE16qBNOOKE9h6K+hUDDIFBThvw///lPlKIByR6Rb9GAxQlNsTcfWmedddrMkLMZcjDBNxBfZ0/4CWJCBHXr1q1dGfIQg2uvvTYaJ0KCJIYcSev/Y+88oKWosi58x4wKJkyIAVGMmMEcMMFvQMUMignBjDpmTICoKIoiKqKY0DENGEAZBMw6JhBHjCgimDCjjnnm/f3dmdNTr151jtW9z1q94FXdumFXdfU9aR/mv8ceezSCjxAsymmkCuGBRASlfMSIEW711VcPQ19Xf/M8Pvvss37NF1xwQU4K+Zw5c0pC/KS8qKaPICG03J8zzjjD566NHz9eFvGmMOmIEPAIUJbFDNrDhw/PSSF///33HZ9ii82n2P2qPyEQBwRQlvleBcnYijlv9nXUNJ86dao74YQTHBF8yy+/fDGHUF9CQAiUGIGyKuTBtZDTRh7Kq6++6hZZZJGSLfPll1923bp18woqimgtCMogyjiy8847J5eE0QFlPJj/jOe9efPm7ttvv022w8O4xRZbeC86Hvh6laDXJlcPDvnjxc7VwnB08MEH1+vtSLtunus77rjDG+ogscFQV2j+XdoBdVIIxBQByg2ZELqeixCNVsx67fwWfffdd0nDdy5zUVshUAsIsAcdNmyYX0qwXFkx12bl0zp06OC++uorX9ccgl2JEAgjQAQtJffY8+LsoKKNpDoQqJhCzvLZXEPUdOGFF5YMDVg8U3mL2XgQ1o00a9asZHModsc2Z+rqtm/f3ndPyDOKiinj6623nhsyZIjbbbfdfJg+myLC8ynn88MPP/iX9r777uvAZ/HFFy/2FGu+v0033dT9/e9/r/l1VssC2XAQOQPxIeRUPNuFMNRWy7o0DyFQTQjw/SJCS5IaARwIeDr5rRWxZ2qcdMb5Wtwo4bDKr7zyyp4HpVSy8cYbe0WcPfXo0aPdAQcc4Lp27Vqq4dRvjBDgXUUqw8iRI90zzzzjgvW0SWXt3bu3d5Cmep/dcMMNfr+FPpGOhJE0qbXXXtu/G2fOnOnQUYjaJV0jF4HwEEdqvUlFFXLAHjRokNt///19DetsBcvOpEmT3Mcff+ytPJBvQViz/fbbN1KssUxSissEZk9KXNB+66239oeNWMT+5UFC4TXFFk8y+eVBwZNpuXEcx0tNCD7Cg05uN4ouUQDkC7HJIYe7WEL/CGFJNu65556bZAhea621vIIeHJM1EMqEIkl+IfOkHBCh65SUkgiBakeA7xm5cfywkPMP2RvfL4kQEAJCoFwIEHGGx/Ojjz7yew6JEEiFAGXJ2Asi119/fVH3gVFjkrMN3wr7XgjeYEIP71+jrtOx2kUAbzj7JhRx9Bx0mi233NIr3++8844v9Ykz75577vEcBFGpDlxLlC3Kezp58cUXPXdJ27ZtvTKO4BAlJTgotEH/wBmI8zAslNSrR6mYQo4iicKKBRHrCWUbTLlMdyMIWyV8FYKnsGCB5KFC4UROPPFEHxJvAnkXFh6Uf16SfDp16uRP88DgeeOBveyyy3w4N4LB4Lzzzkv2wX/wIBjxDWMRPotAiIOSEM7B4wecfmDWLIZYqQmbO2yXRgpG/5SGSmUAwBABmR55hgg59VLIi3FX1Ec5EKA84GOPPeYNcUR7BDkhyjG+xhACQkAInHTSSQJBCKRF4B//+EeS+PWQQw5x++23X9r2xTiJkjVq1CjP4A7xLI6aG2+8sRhdq48YIjBv3jzP0zVr1ixHBAXcU6Q1BAV9Baco+gtRFTj8wrqYRYOaIzMVFNZuq622SjaBiJdPUAYMGODJ/iBVTudxTzVOrR6vWNkzQiQsB5SbSP5zJkFpP/roo70yjuK8ySab+IeN2qkIiikKcTCHOlOfUeeDijOhE+GatFa6gmtR+hGUexRzU8bJL8bKQ7g4IeI8kBDsFCoYDbDMI6aQ80WyOfJFooxaOgmenzZtmrOakemu0bnaQyD40g2/gKt1tauuumrSQBaMUqnW+WpelUGA3woiKoikktQ2AnF8j9X2HdHqCFEnVB2HE57Ca6+9tmygoAwRDYncdNNNSedS2SaggaoCAXQCPOMo4xhoIDAOK+NMlIhavOR4xvGEhysgoFfBW4XOFXV9cLF4yBE88OnE2gUV93Tt6+VcxRRySjUEPc/8nwcnnaB4Ui6NH2CsfrCm4xmmNrHlQRPGzsOD4OUOKvqEjhMqkWkjv/fee/txEMIqzCPN31g9zeuOR548bAQvM+XFEIwNKM20YyzLT2eN1sY3zEMsXJ1yHhbqgRXMBM84dRnTSZBdnR8OMeCmQ6t2z2Ew4gWL5b5ly5axWehZZ53lc6HITZIIgSgEKJXHu5ISmpLaRmDJJZf0ZJgY6DNtBGsbCa2uWhAgksv2iaQ3lLv8GlGeRH3inCICNVfS2mrBUfPIHwFS+1DC2dvxfyJ1Uwnkbhb1Y6Wgra15vdE3UkXe0hYDAFHISDpPOs8k6cSZ2tn49fRvxRRyQCacZrPNNvN4B+s0proBEFbggcbjbCQBlIl69913GymhxiiO5zxIWIa3mgfKPOqpxkHhh+DAhBAgEyyOJrShT8tN5zhWJIg7FlxwQd+MfI1DDz3U/595T5gwwf8/X3nqqaf8pRgXLO8d7EyC9cxTjRFukysTb6p+dTxeCJBbxotx7NixyWcpDivg+eX7n8laG4e1aI6lQWD69Om+43DuWmlGU6+VRoDUFQz0UfmPlZ6bxq8vBHAQkcuNUJa2e/fuZQcAniQiOdkj4lSy+ZR9IhqwYghYVMZpp52WVeloOKmQYJovf5s3O52STbs333zTRy8T+ZyuehP6GjoT6RVwWhVLIK42IW8+jlJRhdxKNaDUIpCpkSOeTv744w8fVkHdRcIwUCrI4yaswgSvb6HCht+UeTxxeNZR/slRR5gzIUkIBBoWJm/KAnna9sGzb4KHvRAxhdzC1ekrWLYAY0Sw7E3UWEGsOG/kC1FtdUwICAEhECcE+GGeO3eun3K6jUGc1qS5CgEhUF4EeI+wV2LPma3gJWTvyF4Rxw+kuZUSUnaOPPJIP/zVV1+dMTI0PE+Uq1zXH+5Df1cGAfQA80JnaxCyKEmU5aCYhzxT9JEp7jgh05WytnYo46lY3XNF7eGHH26k3MPx1b9//1y7qXj7iirkrJ4wMzzfJvwf5TdKsDxSqowcaMoeEa7OQ0S4WjDk1rzTUX1kewxPunm2ybFGEUcxN+87lPxWhzoYDgR7OeEhwQ+WI5NgPfBs52LtWL+VcAsq5EGGepTxTOW4yK80ISc3XRhKrnNUeyEgBIRAJRHA6GkGUinklbwTGlsIxAsBnDlw/ay77rp+X9SqVSvvsMD5Yka+dCsilRKHEULaDPurSsrQoUP9PhVDQa9evVymaEjaUeKK8GScXbb+o446KpkKWsn1aOzsEHj77bd9qb2VVlop60o0pncFHXzoM/BMIZk85FGEblGzzdbjHnVt1DHSg+EOC+pWrJ2okLilNVZcIQdggDM6fR6KVHXDe/bs6cPTEcjdCEukLeFqwbzpVARVuZK9BcndYAIM5lYYmRtzCXq5xIg5AAAgAElEQVSYydOAeC3VB2bBfMXyx3nJQ8RggqWJL54JJaFSrZV889tvvz3ZNhMBXL5z1XVCQAgIgUog8Prrr/th4e6gJqpECAgBIZAJAZQPOIHY99k+k2u+//57z0VBeqUpJ1F9wV1EGiZC+G+utZej+iz0GPtiY1lHSaNGeSph/fDJsLelHJYJ62fPyPotRzhVHzpeHQh89dVXfiK5cBeQ8oOsttpqyUXgTCQllmiPqPJkwdWaQt6xY8fg4Sb/z5b4rcmFKQ5QdScVN1emiOsUXaY8jJ5K5DQcaOly8lN2kOFEVSjkVqohnWcbL3Qw9BvSDGj8Ec4Fw7CDIUbBkIhc2cTp3+qM4o2nhjmC1yVYf7R9+/bJm0OeOEovuYv2IZeHD57pXMKfwvfOFHJCkYICbhBdmcCYyI9B+CGFNI+cJrOEEV4fjE4Ij6e/hYAQEAJxQ8DSgogcCvNlxG0tmq8QEALlQYAQ1/Hjx/vBOnfu7P7617+6iRMnevJh8mJRclBYg5w9wZkRJsv+jw275W+XZ+bpR4GkGLZthLropniFr2L91DBHKA9MlCfrP//88/2aCGUmMhTFXVLdCFgFq1zSd+3ed+nSJbk4i+7FGJNOP8MxihEHZ6iVnY5CCF3N+szkcY+6PupYujUWKyTexsURylpxBhuHV9Sc8j1WFQo5kw+WaohaDC8EQmhMIE7j5cfNJVc7+JIMhi4ErRiAeM011zg8yNmKeckJ5bEXUbgGKQ9/0BpKzUleZuSW8wLEKskHy2O+NxGPd7j+eHANzJOXqAlEdGussYbHhh+K3Xff3Vu4ghZewv7btWuXLRRqJwSEgBCoegRMIc8nXN3ez/m+p6seHE1QCAiBJgiwv4INHSEFEvJdajOzbxo0aJBX1Hkn4AVnb8UeM/i5/vrr3d/+9jd/PXu+YARjk8EqcIAwdAgPcQixV8W4EJw/Di0jAWP9KOLUpGb9AwcOdI8++qhXtqhiVCgPUgWWX3dDGpkphH7ZMOxjpKEqFfeY8G8TdBiEFI50wvOBoLin88rjVOUZpEJV0BOfru9M5zAgmAEi3NaqYIWPF/I3emiq8Qrpl2urRiFnMiitbdu2jVwTL8OgIkxZB8IoyCnn5YnyaUK4uAlEBEYaB0kFjINcm61gEW3dunWyOTcjiiQB6+K2227r2/HSRhHGQ3PBBRf4Y8yBUk3B0PJs50A7rE+ff/65v8TYEIPX4wl68MEHG80NiyaGAcalHq+RvfEw8YLu27dvLlNI25YXN/0GrWtpL9BJISAEhECREcBwahb4fBRyiELJHd1rr72KPDN1V0sIkI9LpRP2FJL4I4CXDQcPQth52CDHvbaayaeccoon0g1+bG9KKVHOV5vAsURUKTJ16lSvnAfnT664RVQSERBeP3vO4P622tan+TRGAIMQEb44KkePHp0WHiKHSQHGKMW/wTQve7+lI2njN9fSIkgrTifFzh9nLNZKREqwohbPL/pNjx490k2n6s6VVSEn95kXFh/q3oUFQGGltDb8GwSZXHNIKrD+ED6BEsqLghBtcnzsujfeeCPZNeOgfPKQYf1BMSYPgIeQ+qWQyvEJEqMF58UY55xzTrLvM844w1FSIiz0hYUJrzM53WYE4EWIUg/Rh5HEha8N/41xweZlViQLV8dgEawjHryWed19990+NJ4vBu0sn57QDb6gsNNTOu74448PD1vQ3xgpYBalHrtECFQCATZUvXv3Tv44VGIOGrOyCMycOTPpEbCUplxmhBJPSk+mTUwufaptbSEA+zZeUqrCBNPoamuV9buaVLmhqY4HkSIFMF1obyVRPfzww7Py7KVapx1PFyJcyfVp7MYIsNdHSGc1xvUwRkRKwCNF9DA6EESEQbGy1LCYW1568DxKfL9+/fz1GHWs8lR4HPvbFHIzbqVql+txvPoYmkyIdiEaOm6yUDknjGLLJ53suuuuTergWXtedKeeeqr/4O1F6Q1a8sL18+w6rNnGMBnMKWDzlSqfJjhHQs2DJG6p5k/fvJAtLxsFFWKhXAUPftiLD8slCr0p+un6xJJp1ky+MFg+U71k0/VTDee4z+S2ROX/Y/2DtCTf8DAiGSS1gwAlAbGUYoTCOJeJXKR2Vq6VGALBcEq4PapViOK65ZZbIlmPMQhgdM5EopNqbUFCqlRtdDx/BIIKiZST/HGspivNwUM4LeS95E0HBSbnZ5991h/C+RAMheW7bGRuxayrXAp8ttlmG29IggMpSFqMMZtQdrydOHXC6ydU3VImCUkOVg4qxTzVZ+EIoC9wr/md4X7jrIBLAEcdyjWRxaQp8H+eW/bZwbRgZkAfKOlE6KJT8JyzryIaFscnzk4coug5MJoHHahRKzDDQLHyx4NjEAZvksppGTWnajpWVoW8mAtPF0KRapxiJ/inGseO56OMp+qTvvLpD4NFXJVxsECxmjFjRipYdLwABPjxJU2EFxkGn7gL0TJYaT/99FOf3oI1NlXFhbivVfOPRsAUctKMgtUvoltX7igRUGHSzVLMJsqQWYpxKt0nSpQpRiLyq/TdiN/47JMgLLv//vt9/WIcH3DvsHfC0HvCCSf4CEAUDviLrOQtK8URZAp5ta/cHDpEYRrRm82ZvHFbPwaK4447zjs8UMRZP7nI7EGJPLKIzWpfb73Pj3RVHI9EF1POj09QeL5Jq8VRGqVMc79Jd8XzjeIdtU/kt+zOO+90mQzgROZCeM0zaJ73er8/4fXHViEPL0R/1yYCWGYlpUHghRde8OFGthkJlg4szYil7ZUfFzZLhC9RnoU0FiJjJPWDgJU8yydcvZwosbkvh1Rr+Gwx147RgRQtvNWEQgbJTYs5jvqqbQTwFpKCgDfcojn5bbQSsvwfj2BQGa8lRFg/HszZs2d7ZnnLJQ+u/7rrrsuqHnst4RLntfDMEglB9APEa0Q24BGHQ4DfSON+SrdGjNsYa3CMkZbL94NIEo7jec/W201aLwYfUmujlP90c6iXc1LI6+VOx3yd5NJjhQuKpQTATZCP4FUx0r18ro/7NaYU8IPLpjbuCjn3AxIPQrTwarCpgr+hmj2lcX+Gqm3+hTCsV2ItRHVgOAoKiiXEcvlGd1x00UWOjTOSTYpTJdZdzDFJa7LQ8XIZOoo5f/VVHQhAuEstZbzB5Mzyu2jKKCkkKKy1TPbI+okqIz1z7NixjdaPR52c3H322cd7WyXxQoAQc6oG8MlXINDmk6/wfIWjMvLtq1avk0Jeq3e2xtaFRS1dfcN8lgvhnqT2ECAsizAqqgyweTDlpPZWqhUFEYBsy3gh8mFYrwSavNfatGlT1KFLVZKlqJNUZ0KgChEgfYtqNXPnzvXeYnhqIATu0KFD1ZK1FRNGSJCpv05kIusnrYb1kzdcD9E2xcRSfQmBXBGQQp4rYmovBIRAVSMAWyhVBFDEKcdB2Hq1hzBXNaAxmRzecfNoxUUhjwm0mqYQqCsEiLrLN/KuFoAiHDlY7rcW1qQ1CIFiIEAuPYa7TDnz+YxV1rJn+UxQ1wgBISAEckXgkksucYRIEcpKCJ4parn2o/bxQcDC1SHvbNeuXXwmrpkKASEgBISAEBACVY0AHBOdO3f2jPO///570ecqhbzokKpDISAEKo1AixYtHEo58vzzz/tSNpLaRmDWrFl+gURIiGm7tu+1VicEhIAQEAJCoJwIwBKPUCawFHwlUsjLeTdreKwvvvjCDR482DN0SoRANSBAiY4tt9zST+WMM85w8+fPr4ZpaQ4lQgACP8oknnXWWXmP8Ouvv3ryIioQSISAEBACQkAICAEhUA4EpJCXA+U6GGPgwIGe1RrFRyIEqgEBWKqvv/56z1b9+eefu0GDBlXDtDSHEiFACRZqAh988MF5j0BZltNOO62gPvIeXBcKASEgBISAEBACdYlArEjdqIsIc3KULLLIIp6tdtddd3WVJPShNNcTTzzhp9itWzfXtWvXqOnW3DFCOJDvv/++5tamBcUXATymRx99tC+FhucTr/l6660X3wVp5iVFwN5f9j4r6WDqXAgIASEgBISAEBACCQRipZCTB0pR+kyy5557uttuu80tv/zymZoW/Tx1LO+44w7fL7Ur60UhLzqQ6lAIFAmByy+/3JeywZh38sknu8mTJxepZ3UjBISAEBACQkAICAEhIAQKQyC2IetLLLGEW2aZZSJrIz766KO+ZrW8HIU9HLpaCNQCAsstt5yvR45MmTLFjRkzphaWpTUIASEgBISAEBACQkAI1AACsVXIyQ395ptv3B9//OH++c9/ejKx/v37J9l13377bXfuueeW/RYNGTLEffXVV/5z5plnln18DSgEhEBTBKhLvskmm/gT5AjzzpAIASEgBISAEBACQkAICIFKIxCrkPVUYC2++OJu9dVXdxdeeKH3mJ9//vm+6ahRo7ySjocsKJTHueeee9y7777r/vSnP7m1117bHXjggW6dddZJNvvuu+8cBD8mPXv2dIsttlijflD6n332WX+MmseEp7/yyivO6uFutdVWrmPHjo2u4Y9p06a5hx9+2DEPCKeYO2H2xggdvgDlgXB9auD99NNPvih9ly5d3G677RZuqr+FgBCIQID3wnXXXed22GEHN3fuXDd27Fh3+OGHR7TUISEgBISAECglAieeeKKPVGLvFd5XFWvc3377rVhdqZ88EYBT6bnnnsvz6syXffjhh34PT6poy5YtM1+gFkKgihGoCYU8iC85ooSn4jn/5Zdf3DPPPOMoh2Ny1VVXec95uKg718ASDls4X/ClllrKXX311V5pR5o3b+4OPfTQRreyX79+PjcVIU8Vhfy+++5zI0aM8McwBgQVckrq9O7d2/GSCgvjQgKHoQCCOhNeNPvvv7/77LPPGl3C3Dp16uQeeOCBJgaHcN/6WwgIAee22247x3eWlJZUxi/hJASEgBBIhwD7A5Pg/9Ndo3ONEcBZwn7I6vpWCp9mzZr5oe3fSs0jTuOaASUdZuy/EZxOfEotPE9nn312qYdR/0KgpAjUnELeokULb3XFe43grTaFHEXYynLhMUOBpj1KNey6lEVaYYUV3CmnnOKV8hNOOMH17dvX98MXPqiQ80Myfvx4f27RRRf17M2Z5KSTTkoq4wsvvLDbZZddHLnwEyZM8J5vvHann366Gz58uO+KMHw8599++63/e4sttnCbbrqpNzJgKHjyySd9eZ5Jkyb5+UqEgBBIjwCGLz4SISAEhEA+CMBdw2/xnDlzKlrRJZ+5V8s1YEgpSnDcbLPNSjItHDJRzo/gYIcccoj74IMP3E477VSSOdRip8cee6wnSN17771TLm+hhf6jWlDlhE8phAiI22+/3Xfdrl27UgyhPoVAWRGoOYUc9HjZm5BnjuARp2yaCSHgBx10kP8TjzmK7s8//+w363369Ekq2RdccIFX1illxou7bdu2/hpY3M3LzksdRT6dvPPOO+7WW2/1TQhTh1yKurkIIewdOnRw//73v72HHcMAHvpLL700qYz36NHDjR492iveWJb5AXnxxRd9PyjmO++8c7rhda7ICLz22mvJZ6EYXfMsffHFF/45sDSIYvSrPoSAEBAC2SJw9913Oz7FFsqRYjiuBeE3mNQ0fq/5LZfkjoB5WffZZ59kimHuvaS/AqWR1EAkGHUYvIrIR6IbJdkjQArolVdemfYC9q8NDQ0+FbRUnmv25aaQ42CTCIG4I1CTCnnwpljoDErvJ5984k+R723KOH+TO965c2f30EMPeTI2wsRReHlZk2cKgRwvF778KOz835RrricfKpM89thj/gccQXk2ZZy/sRCjWJNLvsYaayS93ePGjUt2Syi+ecHxyBP6jkKO0E4KeRKqrP+z5JJLJtsG/59NBxhFShGKxbMnEQJCIHsE4Pq45JJLHOlI4tVobJBedtllsweyhC2nTp1awt4r07WU8crgnu2oKI5wAUnKjwDRnRIhIARyQ6AmFXIL8QYK25Dg3TbBa26ebjuGIm7y1ltvJUOYCFm/4YYbvBKOV5xcc0LGZ86c6ZuTI45XM5NAPmESHpvjGACCApEbIV0mWBoJczfBm29i4fmNOtAfGRHYd999fdrAq6++6qMScpHVVlvNpzQUS55//nlvWMEIVC5ZddVVvYeHtA0s2hIhEEcEhg4d6t544w1vUJVC7nyEF4Y9DNAYKXIRDMUYf4sl/GaSktWmTZtiddmkH0hdIXTCI8p7WSIEhIAQEAJCIG4I1JxCTi72+++/n7wPG220kf8/Hk0TPNVBpZ3jhLxYqHuQ8I18dDZ5jz/+uN/gEHYH8ZpJtkqZeeq5Lkwol+ws8J/gfDlMTfVwnrjNF2OBJHcE8IpPnjw59wsTV7Rq1aqooVjXXnutV8jLGXq17rrreo4FcCgV021e4OoiIZAlArzLZ8yY4Vvzrpb8xwj9yCOP5AUFCi3G32IJDMso5JZTWqx+g/3QNxFw/Kbb730pxlGfQkAICAEhIARKhUDNKeTkWZvCCwukhXKjQJlgrX/vvfeyxhQyNhRy5I477vAszQhWeUjVspHWrVsnmwW99XYQhQzFev311/cM0HgsIXyzesl4UDknKT0C06dPd//617/SDpSOYTTthVV2coMNNqiyGWk6QiB7BDC+/vjjj/4CKWOpceO3CmN1Jiml4pxp7ELOE+3DRyIEhIAQEAJCII4I1IRCjveZcDVCFo1FnZtBnrXVIN96660doW3mQX/hhRfcNtts4+8Z4d+EjC+//PJuvfXW80zn1Po2gel8zTXX9DnDkK6ZR/qYY47J2rMIqY3VRyfknZBC5oTQLyXXYAUlhJhNJgr5jjvu6Mg9RzA0XHbZZck5EVZImCZeTtjfaSspDgKlDK8szgzVixAQAiBAhIeJFPL0z0StGBHTr1JnhYAQEAJCQAjED4HYUoRCpEZ++NJLL+1zqyFqO+644xp5SyD6MSFP1sLLUaj32GMPN2DAAK/oonC//PLL3vNNSPqKK67Y6E6iJBtxmynjhBYzXraC1xviOIQ+8NzDnE6/KOYo48hee+2VzLeDndLC1AcPHuxLqzHfU0891RPNPf30055cLmg8yHY+aicEhMD/EIBXgigUSbwQMIV8lVVW8RFLEiEgBISAEBACQkAIFBsB9EiEqg2QaxdbYquQE8pNztj8+fMbYYLyDIM6ucFh5myIu6wmOddddNFFrmfPnr5sGIJndMyYMZGlTI4++mgfQm5CDUYY0XORu+66y4ejIyjglF6DMI5yV0j79u3dyJEjk13usMMOviY5YYQo8bC8M18Lb+ehoE/VYMzlLqitEGiKAOV3tttuO3fNNdc0PakjVYvA66+/7ucm73jV3iJNTAgIASEgBIRA7BEgEnnEiBEOjpZSKOSxClnv3r27D02PEgjOCCuHgC1VyDEK7NixYz2YlMohj5wQdhRrrsMDbRaQ8Bh44ocMGeKoP42goEfJtttum8xhp5xZUPDgUGMaUjjC68klh0yL8Tt16uTHD99kvPqE048aNcq99NJL3ghBzXP6Pv74491aa60VNQ0dEwJCIAcELMoEI90hhxziI24k1Y+Aecg33njj6p+sZigEhIAQEAJCQAjEEgEilqliUiqJlUJ+6aWXFgWHrl27Oj65SjYh6ocddpjjk0oIr8fLzSdbgcwt1/I12fZdrHbk3yMYCyRCIG4IwM8Ay/3333/v2fMhb5RUNwLcq48++shPslgecktX0nusuu99pWc3ZcoU99lnn6X9ra/0HDW+EBACQkAIxAeB2Iasxwfi+pgp9dkJwR82bFh9LFirrCkE2rZt6/785z/7NcHTAPGipLoRIFzdOD2KpZDvv//+7uGHH/aluiRCIAoBSGDhoDn88MM9OatECAgBISAEhEChCEghLxRBXe8RIL8etneI9iRCII4I9OvXz6ePoORBnJip9F0c11hLc7ZwddJ8isWjQUga0VMYaCRCIAoB0tx+++03f+q7776LaqJjQkAIlBgBeKJM+L9+r0sMuLovOQJSyEsOsQYQAtWLACG/X375ZfVOsIwzoyzUFVdc4UeEK+Kmm24q4+gaKlcETCHfYIMNfKUNSf0iALfM7Nmz6xcArVwI1BECRLMRzWRy3XXXea4lM5TVERRaag0hEKsc8hrCXUsRAhVHgHr38BNAWDh37twmhIIVn2AFJnDggQf68oQTJ050559/vuNv40eowHQ0ZBoETCEvVrh6mqF0qooRwDMGqd+8efPc9OnTHQYaSXUjQNg/QunWuBvTPv744+oGO2J2M2bMcJTSjaPMmTPHVycKy3PPPeejmyBIlmSPQPPmzX0J5qWWWir7i9SyJAhIIS8JrOpUCFQ/Ah9++KGvCICHnNBLI7Sq/pmXdoZDhw71G3wqGqCUy1NeWrzz6f3f//63Y1OJSCHPB8HauYYSqJ988olfEJVLpJBX/721Uq+EGgdDj6t/5ulnSNndahZSchAiwKxiUDXPN9e5YUjnI8kNgZkzZzr2PXGWP/74Izn9d99911GaOm4ihTxud0zzFQJCoKQIrLfeeu6UU07xlQ1uueUWd8wxx7iOHTuWdEx1nhsCKF4//vijv0glz3LDTq2FQKURgPfhl19+8VFZiy++eKWnU5Txt9hii5Qld4syQBE6gecHRTzOod3MHSNclFDaGD4jSXYI8BuKU+abb77J7oIqbrXQQv9TZ62MbRVPN3JqUsgjYdFBIVBeBOwHkpejpPIIUI/8nnvucZ9++qk78cQT3UsvveSq3ftRedTKNwMLV2fE9u3bl29gjZQTAvPnz/ftKVEnEQKGwEorreRz/olA4iMpDwK5ltwtz6xyG4XINYywpNkFhdQHwtY7dOiQW4d13Jr0vMcff7zmEGjRokUs11Td8TWxhFSTFgK5I0AJJySV5Tf3HnVFIQiQV3X55Zf7Ll599VXVJS8EzBJcawp5q1atlONfAnyL1eVbb73lu8KwJRECQkAIFIrAMsss4x577DG3+eabJ7tabrnl3JgxY6SMFwqurk+LAKlRrVu3LhlPgRTytPDrpBAoDwJWtmmxxRYrz4AaJSMChx12mNtxxx19u3POOUcljjIiVr4Gxqit/PHyYZ7PSJbPvcoqq+Rzua4RAkJACDRBYMMNN3RPPPFE8vitt94ay5zhJgvTgapGYNq0aZ6v5KmnnnI//PBD0ecqhbzokNZvh7DcUsNZkjsCxnAphTx37Ep1BQQ4w4cPd+QmQUJ08cUXl2oo9ZsjAr169XL/93//584777wcr8zcHJLDIEFM5ivUIhUCFjpIxIlECAgBISAEhEBcEQjqN6XQdaSQx/XJqLJ5o7iQF9avX78qm5mmIwTyRwBLfJ8+fXwHPOOWWpB/j7qyGAhsv/32PmyRf4sp5CASBk9unUQICAEhIASEgBAQAuVAQAp5OVCugzHIs0Xs3zpYspZYJwgMHDjQtWzZ0lHvmNB1Se0igMEF7/jUqVNrd5FamRAQAkJACAgBIVBVCEghr6rbockIASFQbQhAImMEb4QzS4SAEBACQkAICAEhIASEQLEQUNmzYiGpfoSAEKhZBKhFDoFY27Zta3aNWpgQEAJCQAgIASEgBIRA+RGQQl5+zDWiEBACMURA9U1jeNM0ZSEgBISAEBACQkAIVDkCClmv8huk6QkBISAEhIAQEAJCQAgIASEgBIRAbSIghbw276tWJQSEgBAQAkJACAgBISAEhIAQEAJVjoAU8iq/QZqeEBACQkAICAEhUB0ILLHEEq5Zs2Z+MlRfkAgBISAEhIAQKBQBKeSFIqjrhYAQEAJCQAgIgbpAYLHFFnNPP/20Gz9+vKs1XomLLrrIHXDAAW7IkCF1cS+1SCGQCYF//OMf/jvB5+OPP87UXOcjEDj66KM9fvfdd1/EWR0yBETqpmdBCAgBISAEYoEAisLQoUPdnXfe6XbZZZdYzFmTrD0E4qqIz58/33v3F1lkkcib8tRTT7lnnnnG/fDDD65bt26RbYpx8I8//ihGN+pDCHgEPv/8czdr1qySoDF9+nQ3ZswY3/eAAQNSjkFJVCJm/vSnP6VsU6snvv76a0d52AUWiPbxPvLII442K6+8csmMmLyz4i5SyON+BzV/IZAnAosuumjyyuD/8+xOlwmBkiNw4403uk8//dR7KKWQlxzuWAyw8MIL+01wQ0OD03ss9S2bOXOm22STTVybNm3cG2+8Eak42Kb28ccfL0uJx1IpUalR0JlaQWDBBRdMLqVPnz4VXdbIkSMdczjzzDPdFVdcUdG5lHvwcePGuX333dcdcsgh7u67744c/tdff/XHhw8f7j+llq+++qrUQ5SkfynkJYFVncYZgW233dZ7CNLJxhtv7EaPHp2uSdWf22abbdxZZ53lWrVq5ZZeeumqn281TvDDDz/0nqTtt9/eDRs2rBqnWDNz4jsJ3si6665bM+sqx0K++eYbt/baa2cc6qCDDnIYPeIkeHzZ5L3//vuuU6dOcZp6Wec6Y8YM99NPP7k333zT/0sufFj+9a9/hQ+V9O/NNtuspP2r89pFgNSR5s2bZ9yrlQOBV155xQ9j/5ZjzGoZY+rUqe7f//532rVjLC2XYJxt3759uYYr6jhSyIsKpzqLEwJsPs455xz36quvuvPOO8/ttttufvpsXL7//vu0SyHkbvLkyWnb5HLyvffe883L+eJaaKGF3ODBg3OZptqGECCczT5dunRxe+yxhzAqEQLk8tn3Y6ONNirRKPHvFu9A9+7dfb7jdddd5yMJ2DChlGeS1157zeHtKZbwLkV+//33YnUZ2c8JJ5wQeVwHc0PADLMYNq688srcLs6xNQYBGdZyBE3NkwjgIZ89e3bSSFsqaF566SV34oknlqr7uugX48k///lP16tXL3fccceVdM2kDay++uolHaNUnUshLxWy6rfqESDUxshr3n77bZ+HlK3Q3hT4bK/Jpt2PP/6YTTO1qYR8PsUAACAASURBVBIE9txzT7+pfOedd1zfvn298qOw2dLcnNdff913DL7rrLNOaQapgV5vuukmN2nSJL+Ss88+2xscsxU2n3yKLXPnzi12l+qvhAigmG+++eYlHEFdC4HCEVh22WUdn1JKNobMUo5fS32TQ673Suo7Gp2Bn7q9zgiBmkEgqIDPmzevKtall1VV3IasJwE5El5IhJDZq6++Outr1TA3BPCQI+uvv74jb1gSjQDEXSbfffdddKMyHiUS54gjjijjiBpKCAgBISAEhEBxEQiS1qUisCtkRHnIC0FP19YtAltssYWD+KbYAlOlJF4I7Lrrrj6PfOzYse6SSy7x4cJxDZmqZuRNIVe4eunuUo8ePdxdd91VugHUsxAQAkJACAiBGCKw9dZbO7iX4GNZcskli74CKeRFhzS/DmEhvP322x2EYhtuuGF+neiqsiGA10fKc9ngrvqBrrnmGjdx4kSfJ0WY8L333lv1c47TBMkdh4wKkUIepzunuQoBISAEhIAQiD8Cyy23nHv++edLthCFrJcM2tw6vuOOOzzZAaUD4igoqIj9G8c1aM5CIF8EVl11Vc9Yj9x3333uiSeeyLcrXReBwAcffJAkWqTCQanEQuH1HisVwrXRLyR1GN8kQkAICAEhIASKgYAU8mKgWIQ+vv32W99LNeT85bOc3r17O1imIbaSCIF6RADPuJWWOvnkk0vOLF1PGFu4OmsuZUmTrl27uv3339/179+/nuDVWnNAAMZ6ojQoFzlnzpwcrlRTISAEhIAQEALRCEghj8ZFR3NEoGPHjm7ChAmuc+fOOV6p5kKgNhCA/dtY+9966y1fG1lSHARMIYeldYUVVihOpxG9rLTSSu6vf/2rytxEYKND/0EA4zlVFSiNaWkUwkYICAEhIASEQCEISCEvBD1dKwSEgBAIIICHlVJoyEUXXeQ+++wz4VMEBKzkWSnD1YswTXUhBISAEBACQkAICIGcEZBCnjNkukAI1AYCP/zwg6+lftRRR9XGgqpkFddee61bbLHFHPiee+65VTKreE9DDOvxvn+lnv3xxx/vdt55Z2epX6UeT/0LASEgBISAECgmAlLIi4mm+hICMULglVdecZMnT/bs/l999VWMZl7dU23btq07/fTT/STvvPNO98wzz1T3hKt8dhg2PvzwQz9LMaxX+c2qwPQgVxsxYoR78skn3QsvvFCBGWhIISAEhIAQEAKFISCFvDD8dLUQiC0C//rXv5JzD/4/tguqoon369fP1yKnXNepp57qhG/+NwfvODgiClnPH8davVLvsVq9s1qXEBACQqB+EJBCXj/3WisVAkKgTAgsvvji7oorrvCjvfbaa27kyJFlGrn2hrFw9UUWWcS1a9eu9haoFQkBISAEhIAQEAJ1jcB/ikfXNQRavBAQAukQsJraLVq0cFtssUW6piU7N2nSJF8SsHnz5r68XhzkoIMOcjfddJOvSX7++ec7/l5uueVSTv3TTz91F1xwgc89L0RatmzpLr/8csf9yiSDBw9OEs/BLv72229nuqTJeWp2k8O7/fbbNzkXPvD888+766+/3v3xxx/hUyn/njZtmj9HKgBKuUQICAEhIASEgBAQAuVE4Pfff/clUddcc0139NFHF31oKeRFh1QdCoHaQYCau7vssotf0GabbeamTp1akcWdeeaZDqZtPKTvvvtuReaQz6DXXXed22STTdw333zjHn/8cXfooYem7Gb06NHu1ltvTXk+lxMox+nGoq8vvvjCnXPOOcluKdXGJx9hfX/7298yXnrppZe6xx57LGO7qAY8ixIhUI8ITJ8+3Z100knul19+yXv5GDQlQkAIFB+BefPm+U7ZHxXqtNh77719hZZyCHsA5NFHH8173jgSkPnz55djyhUdA56SQYMGuQUWWMB1797dk/cWU6SQFxNN9SUEhIAQCCCw/vrrO2pbz5071y288MJpsTnssMO8h/qnn35K2y7TyWWXXdbtsccemZr5et6XXHKJGzhwoPv111+91XfzzTfPeF24AT9OeMizEQwARDnkolxbdIQI3bJBWG1qEQGMWESXFEty+f4Va0z1IwRqFYHZs2f7pRHdVqjT4pNPPimbQm5kvl9//bXjU4h8//33hVwei2vNIMr787fffpNCHou7VoeThLH74osv9gRWlNKSCAEh8B8EzDP15ZdfpoVklVVW8Yz35RTI5wirx2Cw3377uSFDhpR0eDz32YS2ByfRqVMn99RTT7mlllqqpHOj888//9wbFyihdfLJJ5d8PELgwqW6+KFfcMEF/ScfKcSLms94uqb0CJxwwgme2LCQdJb33nvPPfjgg36yGNEkQkAIFAcByEbfeOMNt9pqq2WMTEs34p/+9Cf3f//3f+maFPXc3Xff7fftG2ywgVtiiSXy6vu5557zxkIM/JLCEJCHvDD8dPV/EWBTjxWfTUMpFPJ33nnH8bKSxAMBNn7U4yYEmhxjwt0x1uy6666NFjBmzBivEBKGzmZz6aWX9m3POOMMt9VWW6VdLJ5TI05r3bq1u+GGG1yzZs38M0ifd911l8Nyjcd5+eWXd1tvvbU777zzmhCDTZw40edcz5gxw+ddH3zwwe7YY491vXv39uOfddZZyWeaEkuMybwJ1SJfm+edeuPMQRJvBB555BH30EMPuWeffbYsCjnPMBENpRIUfkn8EeC9iPGsEOGdbAp5If3oWiEgBBojYKHLRJmxl8hX7rjjDvf3v//d71fWW2+9ZDekvrGPwWiejtj0pZde8sbrDTfc0O25554Zp7HDDjt4jptCBIUehXzRRRctpBtdm0BACrkeg6IgYCRNuZA1ZTNwpjDfbPpQm/IiMGDAgCYhV+QoYbAZPny4w9uD3Hjjjcn/2wzxFlJzevz48Z6dPPijFFwFPzzdunVzP/74o1txxRXdsGHDvDKOUAP8mmuuCTb3Xkg8RMxj5syZXvFH8EhDzmFltQjhuuyyy9y4ceO8go4QSo6gjO+0007u1Vdf9X8j9Et/EKJRb3ydddZJntN/ioMAmLLJKAe2psAW+z0WRgLvdzlK4Sk0OYy8/hYCQkAIVB8C/B7AE8GeJphyxp6kb9++fo8Cwel9992XcvLsqVDq2cNko5Cn7EgnKoKAFPIMsOMp4eFGCO9YZpllMlyh08VEAGsgob6EuZpiZP0TZvvzzz+ntRimmwsKFPdUUjwEUKKxmCKdO3f2Ci8ecjzOeB5PO+00t88++7iVV17Z3XnnnT50EistCi3e6VtuucUr6eQ0QxIWpZCjKPODZco4Fl5rR3g4Xk6kZ8+e3muO8gN7OeHY/LhhzeXHCo+8/dDxveaHjueM/iDsCAu51qaMo/D36dPHUZJr33339Uzl/Jji8ZQUFwGMOISPk49fK4JXnPD4Xr16+YiMoJBDCJs8XpJ85Oabb3b333+/v1Rei3wQ1DVCQAgIgfIiQMg7exo4VoK/dS+++KJXxokQJTIPx0IqLzmOCiRTdGF5V6bRskWg7hVy8vUgM0BBiBI22hMmTPCnyJNOV7Yo6vpsj7EJQ8xTl+11td4OZQ5Zd911kyHExVoz3iMp5MVC8z/9gKc9wyitEJoheLBRyPm+8aNyyimn+NAswrDwSpIfDOOnebm5JopkBI80ij6s3ksuuaT3nPJsmOD5/uCDDzzjJ9EV1AOfM2eO/5EzsX5hzDQiEhRzS7VA2cdwYIYFu44QeGTTTTf1ijzSsWNHH4p/9tlnuylTpvg1KJfKECvOv7wDyHGrJbEc3rXXXrtJGkeh64TNX1JZBHi3vPzyy77CAu8rE4yFEDdCUJguV5R9BwZLjJRBwkQMgLYfCa6Q54m9CQzPIj+s7L3X6EIgHwRQvJEtt9yyEX8I+yQEJwH7K1LmcFyEhT0RqX84IApleg/3rb/Lg0DdK+SUGJg8ebL3xmXKfQ7+sJbq9oQJfko1jvoVAqVAgFx/E8puRRFTWSg4ijtRCoSy8x0M18COCukNEqNhTSa8PaiQMzZKP0oJueH0+9FHHzVaqvXLtSaQsgQlzDaON92MZrNmzWr0g8cPIcJ63nzzTSnkjZDUH0Kg/hAgGof3GjwawX0DeeC8/1CeeS+lIlLi3UVFgi5dujRSyAlHvfrqq9MCuvvuu7t7771X0XxpUdJJIVBdCJjiHfZum6J+zDHH+D0ShroLL7zQE8gFxTzpGORwVkjih0DdK+TUNsZTiuU5k0Jejtu71lprlWMYjSEESoJAUAGH8CwoRui2xhpreOV1//33T5IM4SnE6wwZCeHtSJQyz3E2s3jSP/74Y++dhhHbQnPxuO+4447J0HK82RgG8JAbKZL1G/TGk/oQlDBTNR4oQsaYN9cFU1f4f9u2bf3lxa5L2WhS+kMICIGqR4B3BN5xBCJJE6Jx2FDzLiFKZ9SoUT5SKEos9BRvWVBsc867DD6LoJDChfcMYyQ8GrfddltU1zomBIRAFSJg3+2gQo7zwNLkbG9ExMzQoUP9Jyh2ffCdU4XL1JTSIFD3CnkabJqcwmpdqpB1BkNRiMqZbTIRHRACVYqAKaZMj1xWlG8ERXnevHlu9dVX9xvSF154IamMn3/++b4WNkJ+lEkUqz6WX7zehKUfcMABvj2bUHLEEXJn7QcMS/Lhhx/uj0MSF+43mIdF3jiKuwnkb0HBk0X4PaGkbdq0aZQrDts6BoFSvhsaTUZ/CAEhUDEELI2KCQT/bxOC5BGuCoxzwcgblHQ22ETlUav4yiuvdMcdd5znCwgL70ckuLmGVwNSJ4T3WhTJIRwYGDcfeOABd+utt6oySRhY/S0EqhABDHS8N9jzBI1wRNxhyCOlFk6RHj16+Kov7K3Y8wQrdARD3qtwiZpSFghIIc8CJGtCKIjlxOZwmZoKgZpAgHBxSNKihLxpFGSUWnLH8RKRh03eNXnchFhdddVV3rtMHmWQxdr+z2b1+uuvT3YfVXO3VatWPi+TD+GcpJpAusgPFSVHLCecTqxfvN/8gJlYv2xeUcpR6vEm8YPHMXI0CQ0NC0Rw5G4RWkb7o446yrOs4/nH88VGmEgbecnDyOlvIVA7CMB3QVlGUl622WabJguz0FPSXoLKth0nagdvF++tv/zlL+7II49s1AfVHCgXyeYcjgqT6dOnOyJ3MPylInXi/YjBk6g/3sFRRs0mE9YBISAEKoqAhZvzvQ5GFpphzpR0Iv14X1AGbcSIEb6MK8L3PSoqp6KL0uA5I7BAzlfoAiEgBOoSAUIiTzzxxMjP4MGDPSYdOnRw5DohkLixeaQsGco4Qjg5IeZ4foxIkbqdGLvwnqOQm0JrOdv+wgghlxLiNhRuK6UGUZKFosNgzaZ41VVX9V5125xav0SkYGDAu40xgA0yhG782DFHE7sOL755/CmVxg/nKqus4pVx2lCLXMp4xI3SISFQYwjg3aYyRFQOeKrQUTuOMo5nnPcP775waTrC1TEmEi0XTI0xhZ7NeSpF++GHH/b9bbfddl4xlwgBIVD9CESFqzPrqOOkoxCZA1GupdZhwIPIlv2W0l6r/36nmqHe2KmQ0XEhUOMIBDd1qTZ4HDePdLp/g+GTWG5RdFGGuR6vNcRrl156qWPDyEYRLxMpIPA2YPXFS00fsBOTF861eOTNy83mlGNBtm2O4XnnOCGiVEHAS024OXlYeKfol7JqnDvkkEN82yCZ2y677OLPoWBjJNhvv/18eLuxqPMImIJPdAw/kJQ3w3iAdxxlvlOnTn5MPOYSISAEKodAqvdYOWcUVJxtXLzVlheO8RFCJsjXYEXGcBmUTPnjYdInwl0pmURVCIyQRPpkIn4rJx4aSwgIgfQIpCJ0iypjhlOgW7duPgXQapIH21XDOzD9anU2FQIKWU+FjI4LgRpHoH379j4FA091qvxnXu7UFs9F8PxAPBIs1xN1PeNHlWgibBxvdVDuueeeqC4c+ed8goKCbD9wweOEhwYFQwHEKCjX1LjnOpORI0cm/4+H34T/40HnIxECQqDyCGDQw2sMrwRGw0oK4ebkfSJBxRnDIIozZRkt3BxCN9JjeAexwTaJyh/nnL3TMELyiRKMjkQrhRmYo9rqmBAQApVHgIgWnAJIkDPCypjhDQ+XMfvzn//s+XJIDzziiCOSe7Swsa7yq9MMckFACnkuaKmtEKghBFAuCd+u19BGCOL4Qfvuu+/8Xb3kkkv8xn727NluwIAB/hie/HAJtBp6BGKxFAgB8QBgqIki0YrFIjTJkiGA0ZDIFdJOUlVmKNngoY4t3Jw0mdatWyfPBsPYzYMFBwakb88995x/vnn3BD3pwc01xJFz5szx7+pgOg0DYAT4/PPPfeTPuHHjfN45/B0SISAEqh8ByiDiHCD9hXQWE8srJ6ImnBrDd5zIP8rGwlsDvwQihvXqv9/pZiiFPB06OicEahyBelXGua2sndB6GIvZzIc97eSnk6cV/jGM+yPBWin3SO77+++/73PPkGeffdbn+pODBvFUtXjZyLcdPXq069+/f0rPYNzvieZfOAKVVsZZQVTOZ/B4uIwZ6TmkuuAlp3Y4SjWpOnj9119//SQo5h3n2KRJkyLBgtSJmufkmJK6s9dee0W200EhIASqBwF7Z8C/EzQ4p3qX2MwhlkQhJ3qQlBX2M/QhiS8CUsjje+80cyEgBApEAFb4zTbbzOe2U9f8iy++8MRs5LwfeOCByfriBQ5T8ct///13v0Z+vNnQRzHYs6E3plYmTK7avvvu68P5KxklAJkgYv9WHExNQAikQCBVLmiqzXX37t0dNcXHjBnjn29LD8IDFjQwpOo3OA2u4Z1FRQm+64Uo5ITdn3POOSlWWfhh8l9511KtggodEiGQDwJEtWFIxoBcKiFirpRi3+2wd9veGWEjns2Fqi/sU+DswcNOCmCLFi1KOdWC+54yZYr77bffCu4nVQezZs3yRg2q+8TR2SSFPNWd1XEhIATqAgHI5KjtWYvCjx/M9Xi+w6z1/GBRJgkSKP4PYyt11sldQ9iIENLPh/A4PNQ77bRTLcKkNQmBghFIFW5OSDlhqYSqB8uYMSDEkyeffLKv0ICxzAxlqTbn4ePhSRP9Yv2GzwUV/FTRBHY9Oe9WOSPcTzH/pmoHNdMlQiBXBPheUYsbieKiybW/Qtrb9ynV9ypd31GKd7CMWVRpRfrjN5tomN69e/vuM70b0s2hkHPZrN3IeeHHMI6MQsbMdC2YQb5bbMFJAe7smUoROSmFvNh3TP0JASEgBAII4HFno21s7eUCB88BJehmzpyZHJJ8tIMOOsgT2BEZEFWmjZBZfjSp8U5pJxjsCY3jmoMPPtgr+KlIAMu1No0jBKoNAUjl+O6Q6hL02FleOeHmwTJmNn9KNkJiCWMyBjIkmD+OUW3q1KlNjofXj4d97Nix/jCh62HBqEZZSLxqUd972tvmms1mkMwy3Fehf5MPzyadspESIZAPAmY84tq2bdt6wsRSCN7n4G9o1BikvRE2TnpVLkLJVrhsiEALfueJ1iN1jO8ha0sljIs3GOMEVRsqIfvvv7+PuiPaJ5XYe4X3X9Q7MNV1uRzHiGHRDCjMpRD2TxhXWUM+xpdMc5JCngkhnRcCEQjwgkaxKZaw6eKLvs8++yRrdherb/VTWQQIIUXBPeCAA8oyETx1gwYN8mWQbNNC+Op5552XlRWdHzOeQz54x++++25PeEd+K0oDij4htmJ0LcvtLOsgsH6HGX0LmQAbTiIz8OJcccUVhXRV9dda6CmGrqDxLap0UXAxhJlSdpHvGp7psCcdwiaiV1A4UKaDAr6wt0+ePNl/3yGopJTj3nvv3QQvrn/ssceaHI86wObelPuo84Uea9Omjd88t2zZstCudL0Q8GX+unbtWhIkUDYzKbvbbrute/7553Men/eEMawHL4a/5dVXX83YH4a1p59+OmO7UjbA0IjBPp0YkSVeayPMTdc+n3Nw4ZhRZvHFF8+ni6yuodxuqUQKeamQrbN+2YTccccdFc01zRVyPBkmwf9n0w+boFKE2l177bVSyLO5ATFqY8ptOaaMlfjYY491t956qx8OtmcMAlEeM5sPbSkJh+c7WE+e89RZR1nA+k0deTx5MD7D9EyILWurJaFsFu+CYiql5caHe2aSyhOaak6kK1jKQqo2+RynjGAtKeQDBw50H330kRs+fHjS25wqTzxVjmgQR8oY8f378ccfPSFb0MNj16NsZ/LKoIhDgJhvLWJKKO24446NCOXyud+6RgjUCgJrrrlmMjS+VJ7XWsEq1TrOPPNM78VXylsqhP5zXAp5enx0NksEqKmKx7iUYW5ZTiXrZigpzBeCmZ49e2Z9HQ0J2Q2Xn8mpg1BjPO54Qkpp2StkfuFrebniKUUIsySUJyyU82GDySZyt912C58u29+UBYFAiE0q3qNaFTzjeCJNGWetGI0yhYiRX/7WW29573eq+sYodli2uY/UTCaMne875FGUb6oVwdNBHj3l7uIqhDGOGjXK3yNYvHMRwiSL+V4jMoTIHwxDtSKEsNr3hLrfu+66q18aZEL8n7DwoBCSynHK9qUSSqSxaYVUkdDyoBA9ZWNEXc9vBvcN41j42qj26Y5hfJMIASHwPwQIGS+VV7decD777LPrZakFrVMKeUHw6eIgAiuttFKsAGETRNkncu9yDUPBi3H//fcXbb14xtk8Q/ITByEH0DaeMJXjYQ1Lr1693Lvvvus9SIRWVkogIyP8EsOAkYtUai6lHBfFGkUMQWmmjFI2kR+GSTAnL9U8USoIzcPSjeJKTjlKRNiznur6OByPe358u3btfM1qFLlcDXww+t50001Fu019+/b1Cnmu8yjaBErQERULTIL/5x0eJVHvxqh2pJlECYo6H4kQEAJCQAjULgKxVcgJzUQRyCbPIt3tw4uA2L/p2upc7SGA9yKsjBPim6k0Q62ELrFZZC2V9GDX3lNV/hVB+gRTM4KyTDh5Nsp4PjNF4Zs4caKDyRRvIe9hlPJgDdV8+tU1xUOAexG8H3j8n3jiiYwDxM2oagsijxIjBCX68g3XzgiOGggBISAEhIAQKBECsVXIv/32W88AjGJeDIGwSCIEQKCYZG3VjChkIj169PCKG3mjGCck8UPA8sbxdKNQEXpe6kgLap7iSeX5oXYyhFRnnHFG/MCrkxnzHYclvxYF4ylpExCfrb766gWHbdciRlqTEBACQkAIVDcCsVXICSscN26cLzVQiMAeTJ5rsExJIf3pWiEQFwQgCUIIuyQnvJwKOeH+t99+u5s1a5Zr3ry522677dxpp53mYBcNCpErECc99dRTPg8cRZNUA0Klw94wFNIbb7zRG+poS+RDuvrilBa58sorHbnuhNRD3kL+LQaZoJeNcFEInPAIk6pACDznCcdNV+qjXM8B60UpRgibXWGFFcoyNGsnLJ73MGRvkMnFOfe6LKBpkKIjgCLOB7F3WtEHUYdCQAgIASEgBEqIQGwVcjDZY489/KcQGTp0qFfIFW5ZCIq6tp4RYDP8+eefN4EgVU7y8ccf70aMGNGoPaknKOjUviaPFcFrD8kWpYCC8vrrr7tHH33UUfeXUj8IXmLKikEyZvLOO+94ZTFKQYVAD6Ik2PJN3n77bd8vpZ+Yi8njjz/uIIZ78803PeeApTOYEpBsWKH/DBkyxI9MLdMDDzywrLO4/PLLfSkl7tVtt92WM4lYWSerwYSAEBACQkAICAEhUIUILFCFc9KUhIAQiBECDz74oFt55ZWbfFBewwK5minjeFhRqmFiJi8Z7xZs95aGQn477POQsZETjdebmr6MhXDMhLamjHfs2NFzS6DIo6RTpiso9M/YKONE2owfP957wKnTjVC+L6qkHUzksBljxIONuNzKb6NF/PcPIoSsjimlk8qdP0sNUiP3QyGXCAEhIASEgBAQAkKgFhHAcRPlgCrGWqWQFwNF9SEEhEBWCFhJrmbNmvn62ISJb7311j7kGUGJtrq7J510kps/f77DI055IcjnWrZs6dq0aePboqCbELZtcvfdd3tvMeHlsI6HWbPpn5cqcvrpp7s999zTh8qTvrLuuuv64yjlUYLiDxs+/RJqX2nBmIAwl/32268i0yHMHyGKAGItiRAQAkJACAgBISAEagkB9jgbbrih22STTVyqCNBC1hvrkPVCFq5rhYAQKA4CXbt29V7jsMDcTo54UCiBhCywwALuyCOPTJ5C8TbhpUeoOvLrr786GMRR2Mkj/+STT5Ltgi9EGweFHS+2CeWWqJH+5JNPJo8Rem7yyCOP+PrvJjaP4DE7t8QSS0TWW09enOI/eK4nT57sS69R07SYArs0suOOO/rycpUQ7jNRDNwP7hFRDhIhIASEgBAQAkJACNQKArNnz/YRnPPmzfO8Sy1atCjq0qSQFxXO+u3sp59+8vm6u+++u1tmmWXqF4g6XDmKKp7usESV3WpoaPDNIJJD0Q5KuI9nn33W7bXXXr60FgrfVltt5UPFJ02a5F588UWv1JtYmHtUyPaiiy7aaBybAwcJVf/yyy+T5/HcMw/WFBY87VH9h9uF/8abjqKPUl5shdwMHEQEZCsQvwXz38n/RqgvPnjw4GQ3WIE7d+6csVu+72BGegFh/XEWniOMNFjBg4adOK9JcxcCQkAICAEhIASqGwEp5NV9f2IzO8i1YKymDNJdd90Vm3lrouVFgHBzwpph4ybH3BRcrI0QKwaVZxjSUcbJGScnvFWrVn6yljMdVMgpd4Tnm7xw8nusnjLM66a02kqDij+M6b17906CgHK67LLLRoKSbykxMxbYv5Gd53GQ/iw/PhdFH686ef9hmTJliuNjAhN+tsL4KOQYOOIsY8aM8Sz7pDuEyQTjvC7NXQgIASEgBISAEKheBJRDXr33JlYzs3zeYF5vrBagyZYFAcKbEbzSxg6OYtmrVy/vlUYRsjxkwoIQlHTLA0eJxzuOUB3BZO+9nWdWQgAAIABJREFU9/b/pS9Y3FHkUcYvuOACR3mzoMDibvnfhNobQce0adM8IzsK+UUXXdToGv7AS19NwvrN259LubFsSrWBD9EJ2YpFxYB7sYWoBcT+LXb/wf70HisluupbCPwHgWCUkjARAkJACAiBRCqnQBACQkAIlAsBCNEIB0bwgK+xxhqepI161uQg77DDDsla5MbeTd7OBhts4Lp06eLat2/vc3cQwt6tbNlRRx3lOnTo4I8/9NBDXoFHSaUsF97zoJD3c9VVV3nvPKXR8O6SZw65nOWlH3rooY2uqcY/ggaCXAhGULQzKfDdunXLSQG28UtRPpJ7SB4+9eAlQkAIxB8BM3wF+TzivyqtoJwIBH/z5s6dW86hNVYVIlALz4MU8ip8sDQlIVDtCJAfTgg5n1Qh3iuuuKI/v8oqqySXgxcc4i+82CjNhDjjEYflHMVr5MiRybZXXHGF95xDVkZ5NNjRjz32WF8rnLBzPs8884xvjxedeuEQxdEe7zhe2+HDh7szzjgj2d46px/Ck8m9/vnnnx3lw1DQ99lnH0fuurGt075169b++lVXXTU5t2r4D4R1pgBbHng28wKfTIzsuRokzDCSSdHPZn7hNhhLiKaoNvzD89TfQkAIZIeApRtF8Yxk14Na1TsCwZS1UhiC6x3fuK0/yO8T1/eKcsjj9tRpvjWJgIXwFTvPuFRgQXgVZDyPGscYwMPnUMRvuOEG/0GRRJmOIlHjGKXRbrrpJt9u6aWXTiqgKOhh4Ty1sGlP6DSM6yaUUAsLSikfCM4I/05F2oYBoBqFHyCiC8jdzjXfGYX79ttvj1wW5eV22WWXyHOpDtr4YWK+VO11/D8IYJyq5fDdl19+2S/0hx9+0C0XAkkEeMcQ6dSuXTuhIgTyQiCogMEzI6lvBIIGGuMQihsiUsjjdsfqbL62kav1DR21tpFS5OBW8yOTyrsenDMv2qBynWk9kK/l0h6PcaVKhmVaS6bzhPCjkFvt9kzt7TwKNz9alj8fvI6a77l4HAgXtJBB5iPJjIBtHiZMmOD41LrwjEqEgBAQAkJACAiBaASkkEfjoqNVgoB53ozIq0qmVfRp4DFA4hpqU3RA1GFWCKBYU9+c7wdh40Z+l+li8s9hEx82bFiTprmGq1sEAX126tSpSX860BSBPn36+GiOWher11qKVIZax07rEwJCQAgIgfpBQAp5/dzrWK7UiBpqOayTG2N51lGh27G8cZp0WRDo2rWrO+WUUzzB3ejRox2kedkKbOthhRwCPOq95yKmWO64444p+QRy6a8e2p5//vmOT61L3759/TOWS1m+aseE1Bi+JxCTKeS6sLv17bffulmzZhXWSR1czT6ItC0z3NfBkjMuMVhlJWNjNRACMUBACnkON2nQoEGRua45dJGy6W+//eZrLbNJPu6441K2q7cTxiSdbw3oesNL660vBCCcg41+/Pjx7uqrr/ZkecFa7unQoPwbZeaC4cSHH354sjZ8umvt3OTJk53lCR9zzDHZXKI2QiDWCPCbNGPGDM89kUtqTKwXXaLJ887iIxECQkAI1DsCda+QW65kNjmTMDaXWl566SUp5KUGWf0LgRpC4Nxzz/UKOXnclHM777zzsl4d+eIDBw5MtufvbAWvPAz2CIo9IfASIVAPCCy55JKOjyQ/BChjSTlLiRAoFAGcNYpUKRRFXV8NCNS9Qm6b2UxlgLhZlN8pVY4v5EqwVlPKSCIEyoGAeXcgNNPmshyIl2aMbbbZxrPFP/jgg1653nPPPd3GG2+c1WBE5JhCvskmm/h679kK1xkZISXrsjFqZtu32gmBbBFo1qyZj1yDtVse62xRq2w7Sk6+9dZbLi5VRSqLlnNEMxG23qFDB3fjjTdWejpVNT7kpMHSqlU1OU1GCOSAQN0r5CeeeKLjk41MnDjRMxOXQgYPHuzOOeeckoXEl2LO6jPeCGy66abuscce83m/yl2P970keocSWuRkduvWzb3wwguOOvCZhHrrPAevvfaay4XMDSI5UngQxuMjEQKVQAAjOc/+Z5995jBOSaofAdJqeO9IskPASnw1b97cbb755tldpFZCQAjECoEFYjXbCkwWr/hll13mP7wMJUKglhAg/xjruyTeCLRq1crdddddjnJakCTttttukSXNolaJIs6GL9uQc1jV8azj3aIe/ahRo6K6LdqxkSNHehKteigPVjTQ6qyjLbbYwu299951tmotVwgIASEgBGoFASnkGe4kHiQ81/JeZwBKp4VAgQi8+eabburUqf7D/9PJxx9/nGxLe4U+OrfHHnu46667zivXb7zxhtt6663dtGnT0sHoz/Xo0cPBkL7GGmukbUulg2uuucbtu+++7tdff/UeeJRzWKdLKffee6+bM2eOD8mXCAEhIASEgBAQAkKg1hCo+5D1WruhWo8QiCMCf/zxhy+3ZaVMYDKG/btNmzaRy6HUlyloK6+8svv0008j29XbwRNOOMEr5CeffLInTUIpp7wW5Gvk2kYJ3nUU7XTy/vvv+z7/9re/+WZ4rFHGy0GmYyUPa730YTr8dU4ICAEhIASEgBCoHALwLSFEIpai8pM85JW7txpZCAiB/yLwj3/8I6mMcwgCm5tuuiklPlQjMEHprGax/D/7t9RzpfTZuHHjfM1ayileeOGFjkifa6+91s2fPz9y+FQkcO+++66v+gDZmynjO+20k3vxxRdzIoCLHFQHhYAQEAJCQAgIASEQAwQ6derkIAInjc6U82JOWwp5MdFUX0JACOSFAApeWHjp/fTTT+HD7qOPPmrkEcezXs2yzz77eOV4u+22K9s04QaAAf3AAw/0YxLyfeqpp3pSSuaDcv7cc8/5PHOiExCw/uCDDzzRH1518nJR5DGMoNi3aNHCl1WbMmVKycgtywaQBhICQkAIxAwBRQnF7IZpujWFAASil156qTvmmGNKsi6FrJcE1vrr1AjvRHxXf/e+GCuOUshhDL/nnnuavPz+/ve/Nxqy2j3kd955ZzEgyrkPQvnvv/9+9/zzz3tSShTtX375xT3yyCP+k60stdRSrk+fPu7Pf/6zW2GFFbK9LJbtMDog9m8sF6FJlxwBSnZ98803ZTWylXxRGqBqESBiDJk7d27VzlETEwKVRIC9jQkcOnEk+ZRCXsknqIbGxqNGLuohhxxSQ6vSUnJFgI0D+d9hgXSNvJtUElayrR25zWFrZFB5x2K52WabpepWxxMIbLvttm78+PHuww8/dPfdd58PPSfkP/gDFgYKwjaI3iBw69q1a92UxTv44IN96Tjq/UqEQBQCEBoSlfPDDz/4coGbbLJJVDMdEwJFQ8A84+VKeyraxNWRECgTAsF0vLhyCqXeIZcJRA1TGwiwgSe3IhUJV22ssnSrsHyUUuSllG7WjXu++OKL3e67794oF5wW3333ndthhx3csGHDIqfy9ddf+1Bpk6B3csaMGe6ZZ55pdF0wf5yyhIsvvnhkvzrYGAG+m1SLoGYzP17vvPOO95ovt9xyviEWZbD+5JNPfCg7yjsl0eqpRj1ELRAGVnvUhZ7tyiEA8STKOELtc4kQKDUCZuQm6kkiBIRAegTiumeRhzz9fdVZIVAWBIgsgEALwqxyyj//+U/PFomnuRAhnPnqq6/2Xey5556eVAzFet68ea5z584+n/mFF17w40A6FhS848HcOMKrUYosTG/48OFeoUfwTuGVMtlmm20a9aU/skOAe77OOuv4DwYNjCIwpm+//fbZdaBWQqCKEIAHAZ4DGeeq6KZoKkJACAgBIZA1AlLIs4ZKDYuFAJsnQmizEVPK8Eo89NBDGS/Bw9ylS5eM7aqtAXm6ptCWa27U8m7fvr0nHCMncqGF8n8d4F29+eabvecILytslPyNh/W9997zS1p11VXdLrvs0mR5wRB0QvIgIps0aVLyflPejNw5rqfmOEq5SbUTujVZrA4IASFQVAQw5m266aae7BHDn6K0igqvOhMCQkAICIEyIJD/DrwMk9MQtYkAXtn99tsvp8URGpjNNbBIZwojpMTWF1984Qj/opxTJkHJJEwaZdEUyqefftr9/vvvjS7F60j4r33SeZ2psc0GMizLLrts8voll1wyfDr5NyHHEFdggIANOx95++23fTg5HzykpB3kK3j2yU3GO05/06ZN8/Myz/faa6/tJk+e7FZbbbUmQwTzx9u2besNBCeddFJSIceAM2LECDdo0CBfbisoUsibwKkDQqCuEOD9TGoLwjtRCnld3X4tVggIASFQEwhIIa+J2xivRaDYpiP4Cq4GhY4P12RDaBJFKBZG59lnn/UKHxs3cpcz9Ttq1Ch32mmnec+7KeQHHHCA++qrr8JdJ/9GUab01IABA9yGG27YpB2lpCghlU4gCyJ0+8gjj2wyx1deecXttttufg2zZs1K103ZzhE+/uSTT/oQdQwepozjhX/88ccjS2VB9vbqq68m52i5u+DMdWywEUqgXXDBBY0Uchi/11xzzeS19HXyySf7Ml6HHXZYXuHXZ599tjcoQGSGcUEiBISAEBACQkAICAEhIARKiYAU8lKiq74jESC32ELRIxuU+GDPnj09AR2s04RXwyadTm655RZ/Opz7zDH6MqIVPOaE1uOhp9QUodaPPvqoGzNmjNtrr70ih4AhHMXaBGWQetAoqdOnT3dHH320V3Jvv/32rI0YkQOV6SD3FcU4KHjzv//++0iFHM8W50yCHm/wPuGEE/wpjB/33nuvC3rTw95xPP433HCDbw9uuQpRAldeeaU3JGBMkQgBISAEhIAQEAJCQAgIgVIjIIW81Ahn2X8mL22W3ahZFghQK53cZryuKLrpFHIUwDfffNOHWkd5TE888UTXsWPHJqOiZPbt29f3T040YfKEbYcFj/Dll18ePuz/pob0EUcc4UaPHu3Jt/r16xfZrloOYtwgl9wUbHLS8VbPmTPHYzxx4kQHK3pQgozpHA8q2Ycffrg3nFg5C6INyHs3CSvkFs6+6KKL5lWKKEguF+67WjDWPOKBACSHpLWQZpPN9/aOO+5w1113nScvhEsCo5wRGYZXbCkxa6yxhn+3kD8dJXx34GIIC8RnLVu29DXld955Z7fPPvs4vjNhgYGfcpYbb7yxu+2228Kn9bcQEAJCQAgIgbpBAKcN0ZPs5dnbF1tU9qzYiObZH0odOcfUDJaUHgHzvD7wwAPJEjZRo5p3vE+fPpH1taOu4RhRAFy76667+nrPhFvnKgcddJDPnUZQ2tOFyOfad7HbP/HEE95gYco4HmZY4wk7RyijhVIerjcO87oJikJQYSeHnnB9EyIaghIuTWUK+eabb+5z4ocMGeKjGoYOHdqk5jZ1KmFz7927t+vfv7/jb7seRQcuArgOBg8e7D/Upr7zzju9xx5FKxchRYL0hCAZXS7Xq238EOA9DgEhz1429/2aa67x7bfbbju/WKJM+DvqQ/rHPffc459fnvVjjjmmCZ8FffB9ibqe55HoHdJmqLuOwm2pIUGkv/nmG1/RgO+xRAgIASEgBIRAPSPA/pU9KwZ0omGLLfKQFxvRPPuDFItw5WbNmuXZQ/wvgxQMBSlbQQlca621sm3eqB2b0C233NKTtf31r391Rx11VJN++MKhsEPWxqY3VyGfnZxkyMwefvhh7/XKtSwPXuKLLrrIE8AR/o7HvBoF77i9oPDa3XXXXR63KVOm+JxyNvYo67C5BxXpIElbhw4dmjC9k+uP5zAcBg+2YTI76wvln4iC4AsTpvcbb7zRQ0c7DAZ830wIdTdSO/OO82xQt5ualoTD8xImkgXjTC5CSTsUfvont11S+whgRV9llVV8TXc8zekIKXnOSE9p1aqVjzAJC3wMEB2aYCgiUoRUGJTyW2+91f3888/uL3/5S/hS//ell17qI01MiFrBuMe4F154oY/eIW2GzYYI0SIh1EEhIASEgBCocwSC+9DwnrQY0FSVh5z8UzYb9Sooa3ENXcdjg+KCpydfQWGlvFW2nzDLea7jWk54qtCTu+++23vP999//7wZyCEng+ANL3mQvCzbuUJ+t/vuu/vmeLaqVS6++GKvHGDY4FlAGUdQJDCc4B3Hwxw0bKAQW0k02oY93hzD4GLrD64dz3uQhZ6wdpR9hP+jrFCX2NIMnnvuOX8OJR2DAWNzb/D+oYjwvTMvoSnkpuCj7GAswlN+3333eY9iLsIzhNi/uVyrtuVFgLJZyyyzjOvRo0dBA5OuYc96pnDvYBROusoMNiHesxiczjvvPDdhwgQfbs53DsU/G2FuRIAQqs4zzvM+b948R5i9RAgIASEgBISAECg/AhX3kBP+iXcKZcPKVbEpgZl633339Xm41GhOJWymozbyqdqX8zjM3KZEEbLMBqhSghfFCK/AldzAYgr5wSjUbApPPfXUvLqGVXz48OFZX8umshAhJJxNKPfo/fffb+JtT0fmlu24KHqQvhE+iuc2H8FzhmQq55ZP38W8Bm9ylCy99NKemC5sbOK7G7QypsrbhjkdhTgo4e/8yy+/nOwLVnxT4kkdQKhhjmAUwLuIMk+OPmXmEELRiURArG8Lr8dQBkkfJdkk5UfAnpvw81OKmXCfMdZkq9ymmwORFBipUJr57ke9rzAQYeQJKvDp+gyfI8T92GOP9e9NwuP32GOPcJO0fxORReQIeeiEsc+ePduRsiERAkJACAgBISAEyodARRVywuUGDhzYZLV4Pglx5YNSRNhrmBCLEFI20Cj0WPerUVDyyOFDKp3/izJnc0lFAlRpDClhBUlauYTNKCHgkCgRjhx8FgnjxKO9/vrrJ/M6852XKYX5ekjNIFWKnJV815TrdVHKVDBcnf5IIYgSwsvbtWvXyJseVt5NeQbroFJiUQnm1Sb/FoH13pRx/jZvO9EMGIZgWjfCOULOpYxH3ZnyHMOASPRCFKlisWdgpfrs30L6x5DGnB966CFHtE2UBxrPNu8FjIOEuOcjVHpAIcewmE9aDM873A288yCBQ8GXCAEhIASEgBAQAuVDoGIKOYp0UAEifxQiHMLv2HzhEcN7Rvgy4YN4wEyMLIoQd5hiJUIgXwSM9IuwdcKurY45DOwIOcxRymQu4xlLOJ7ifMRyndNFiuTTb6WvQckmxx7BCx3lQeQc+OP9I0/dBHbooJjyTBi6hf1C7IZRDDEF3ox3rVu3bnQ9nlGEMnSE28+cOdN9+eWX/lhUXm+ji/VHSRE45ZRTHJ84ynHHHecVcsLWoxTyYkTh8D1CII+josG6666bM1T0gULOcy8RAkJACAgBISAEyotAxRTyIAENFnlTgGz5sEtbju8rr7ziyO0zLxf5uJWsY13eW1Sfo+HZfOqpp5osnnzuYhIPkaOMckcUBmHVsKIbQRLl0QrNJYXIDKMSks9Gmesou1bI9U1ArJIDuWCL1ztVOC7eTPO2G0s1S8Rrbp5OU8itZjztOYeyz/8h3UOChG78TSgxSr5ECOSDAKkTRHfxHeZ3DMOzCYZnDM3rrbde2tKLmcbFUGc8FRih8hEzhlU6kiufuesaIRBHBPj9Ya+Ri7DvJQomk+BYiCplmOk6nRcC1YYAz3w2lUrQC02Iss7me8L+zviOqmHdFVPIKSNkEsVWd/TRR/twdF4skNjYxhr2ZjwOJoT7Gevx9ddfn2RpxuNFGDKkUYzFhoU8UsJfCVPmRpig7Ft+NZtvcr3Jqxs/frwPNSeUkPIwMCRDshUWxsKAwAaLMGgY06O8IcHreMDIHUQRIL+QcGTCbQmRZpztt98+2XzatGm+RA3CBo+a2OSks/mCaRoWXYiIkFmzZnliNTZ6kFpRFifTXILzqpb/c+/PPPPMJtMBn2Iq5AyA4QeFHC8WCjms6zwz5BVbuHmTiWR5gGeIFwoM22y8cxWeC0jREJ4rSVMEiJihRBMSxeBOKoQxqPPdJlcWkjfa8izxHTQDn11v5dgwAvL+yVd4b1nf8CxYWbhc++O9AxM24cWZhGcml7IcsHgjfOcgrjPhfXnooYdmFSFCznVU6axMcw2eZwPJeHav7BwM9ePGjfPGsSCRXy59V6otBh8MzmeddZZ/vwQV8ptvvtlPi/dPIVE4/H4awSW/c/mIbWbyvT6fMXWNEKhnBHhf5koQyl4zm98jyuha1Fg9Y6y1xx8B9KRcnDesmIhKPpkE4lWLUsvUtiznExvGikhi49eQWGDyk9ioNCQUyYaEJyHtfBJlsRpdF+wjsanw1w4aNChlG9onPKINidIvyXESCn6yfffu3RsSL8nI6xPhh03mduWVVzYkNlNN2ifyBxs22GCD5PHETU9emzAiNOywww5NrrG10B9YmCRKbyXbJhSKhoTnNvl3gsW6IaHc+6aJDX9D4mXdpN/ERrchoeAnj/fq1avJOgo9kDBy+P4TSkOhXfnrEyR0DYkwyiafhNJQlP6DnSQ2sw0Jo0tDImy6gXuTUMr9WhIhnCnHatmypW+T+NFL2SahfDUk2JB9u379+jVqlzCS+OOJnPmU13MiUa7It0sQLTV6ZhO5nv54QqFMe326k4l86uQzkTAKpWta1efuvffehoRBqoHvQsLjkJxrotSUP5546SaPJZTjhgT5nL/X4JeIkGhIcAj4dnwS0Qy+badOnfzf3Kd8JGEgaEj8IDQkoiKSGDNeIZ+EgpzVVBKpFwWNE5xjomRfxjEThIWR78B81powRjYZLxEV49fDu4X7V0pJ5GL7sRJe56INkzDqNiQUXd9nwmrv++U5TXAYNCQMDA2JlJQmY/EeMvwSBpMm54MHEqXVkm0ThIXJUwkjsj+eMNimvZ6TCUO1b9u/f/9k29GjR/tjCSNVxutTNUikGvg+EgpCqiYFH0+kBCXXnzCuFdxfpg64n3ZvEoaoTM11XghEIpBwBCWfI3ueivVvKb9vkYvRQSFQIgQS/Csl+54E94bZTJ/fF/uO8rtTbKmYhxyvAGHqH3zwQWJ9zofz8UEIKyWMmPJEhKkGS8HgZSSs1EJUCTdIKLf+OrxIlD4yBnHyUsk9xNPzzjvveK83NVjxOGJptOv8xf8VQumxQMIUjmcNMh6zNOKlpm8j3yGnFc9H4qb4q8mBh4AIFmfa4tmJkmA+LOVr8KDgsafONKQ69IfXm7mHPScWWkv4M15cCKfAAE8+/7eyccydElR4TsC5mktmRWHE3KNqg0e1LfSYMRwPGDDAe7EIladMF6W18hWeZZ4hvLd4YS1XOtv+yF++6qqr3BVXXOGfAWpxW357tn3USzuiV/iEZezYseFD/h0B83XCaOdDmszjSkWEoFhUQpMOMhzgXUG0DFbdYDgi946xoiJsMnTpT/OMHnDAAdk0dQljgveQB+usp7swGK1kkTa057lNGBXTXerPEe7M+5pInkKE6CIimMLCe5UydrwbuW9EB8VJlltuOX/viO565JFH/LNKFA5RHUR3FcoNQWQDAi9CPsRwRFLZ7ymeNUl6BHhO+T6yl4hbxEb6lelsORFgj5YweGY1JPs6+CGyjbIr9J2S1aTUSAiUAQGilrP9nqAHESGYbaWQfH4vS7nkiink5Oei+KB0EkIaFBjBUYT5kOPLRsYYmFFy2HBa6CZEWWzUgsKmjXAglHnCv01QkNnYIZA9RSnknCMkntBl5Mgjj3Sw5XKTUZQJCbebOGzYsKQyzoYUBmdTmvg7VZkz5o6CRl4hYfaEoCMQAPEiJZydMFLIwKKIwFDUTj/9dL8hMOZuNuC2sWaDTA62ba4Jy0CBzzVfyU+qTgSjCEYQSneBK/ciGyH9IRhCxrX8cNq9gJ0bQwvPe5RQeivMNk4qwkcffeSfLYxRKOOwgkcJz3S4BFiwHQafVHXWo/qrl2MoxsXaTBPuy30kVYTKECaMwXsgEdXjEt76RmkypcSZ9xrvqWzFjH6EjFvof7bX0o4w52x/MHPp19ryzue3AmU24f33z7u9n/PprxLX8D7hd4z3NAq5fSezfc+kmjPvCN4PSJRRKtV1weOUAuR9BUEqz6skPQIY+jGoYHgPclakv0pnhUBjBPj9ET+JngohkB4BUtjCaWzpr4jv2Yop5ECGRR8v1owZM7wSTJ4gpbmChG0ozl26dPEb3WysHuQY8zHBS4Q3HA+xlUDiXKpcTjYlwc0eihRGgenTp/sujXmZ/1ueKf+nXnrQg9m1a1e3+uqre8UqLLA2B5mb2TwzPz7mbecalO2wQo6CRm4zgpXelO7gXPAsBz1dKPwYBxKhveGp6O//IsCzSIkiIhAwaHTr1i0rbIi8CAreEww25O7zDMCFkC7ni+cp+EzxDPHy4Xo2e2zYUapTCcabsEIfbJsNGUaqvnU8PQLcexQrIlCCXmbuH4Y8vJ/F5jtIP6PaPIvBgMgVGPB5n2Jk5ffACPrisGq8/JSbxHDB7x0GBo5lwwmQan3kjmNAhLyQ3ymMtLkKER3GMZJIj6kqgptc11LO9qmM7eWcg8YSAkJACAiB2kGgogq5wbjhhhs6PoSD4xUmFJyQT8LHUVBRqq+99tqskvTpEw8l3mtKp1GvPIo0LhwKbnOJKr0U9KThAUWYl5Eh8XfUxpuQpCiFnPYwerORZ2MGqVuURM0RJT+KeCdYiz3VXKLG0LH/IRAkC8yES1CJztQ26vyQIUMcn3wFy3o2yna6EOkgsWHw//nOqR6uA3M8tXx3IQIMGtAwohDxAzFZMM2mHnAp9RqpGY9BEe8/7zpIXoiMilMaB1E4GFOJqsHonK13HA92MMKG3yCMuBBGkhLDs4bnnUiuKCF9JlzFhPcXRlyIBpkLIfUnn3xy1OXeYEj/qYSUsEp61oPPgN5jqe6SjscFAdKlglWIMs07wXsRuSfMdJ3OC4E4I4AzBHLebCTBL+RTFatdKqKQJ0iAvHKNIkp4LiG9pmQSsm0eZBiuyftGss1PJFQdz6J5wPFW4fkkJ5iNtIWsp9rIRSm7UW1RlvnxN2/hr9r1AAAgAElEQVR+kHLfbrop7+GHIEEi1Yj5HKZNogBgVu/Zs2cybDRq3FS5QcGNSFRoeqq5hOemv+OBAM9foeUaSAOBp4HoAPJcJakRgOuC3HA8tcHSUiiKKFh4w9NFMqTuWWeyRQDuEHge8ORi0CTFJE755Icffrj3aPNbliCFzJoT4IwzzkgJ0TbbbOMSxKKOf1MJKWHhtDBrS0QYHnI+Ub83tCNKjYiPVMLvdSqF3NK7SpmrRwQSKWBUVAlWJ0k1Xx0XAtWMAKmMo0aNynqK7Cej9q1Zd6CGQiCGCOC4ZT+WjeCklEKeAilysLDqmXeJfKxgrrddFlQ4gpuFoOc4GN7OdWzYTBmHcI2bYF7CCRMmJGeUynMY5ZVOsQwfks4mACEMMVjSBqKccDgz7SCSuvDCC/01jEU4veUAgwe56iZRc0ylhDEXE+YSlgRjePiQ/q5zBPgekvssSY8ACgkRPMGIBJRDPJwHHXSQL3UoKQ8CKF6EaMcxn5xIK7z8CSZ/B7dEuk00+fxW6jKMLN9bjGj0gXc6leCRj1KUMd6iiNMHxJWpFHF+z4hMyyREgqUSwugxOBsHTKp2hR6//PLLC+1C1wuBqkCA7xPpbtmKorGyRUrtagkBUsCCzpF0a4uKfE7XvlLnKuIhx2sdZM5LlH7yYXeEzbE5gBmcMD3zjgNOkDwlmJML+yTeX/MQ43034YaZUouiG8y1zaZofKab0rlz56RCDtEaxE2W840hICqsmXBLY0JHud5oo42Sw5BDjiJvYu2C80gVksdcwAxh0wcRkuXSE5bIRyIEhEDuCPCd48M7ilBpFPFCcn9zn4GuMATink8exSIfdXd51iADLET4jS2ENIqIj0KjPvje8NskEQJCIDsEiOjkIxECQiA1AqRYpUqzSn1VdZ+piEIOJCiweIZRjPFoU7KLTQihfCiywRBrcuPIzTSBsIyNGR5lQsXJ3ST3HEI4rPH8i6CUEhZPDvnNN9/sZs+enewjHzbh5MX//Q9hfuTWMX/CjChJASHczJkzfak0jAthDz6ebOYPCRQeN168RAfgaSckNihBoqjw2OG/MWZgBMA7Dhkc5WvY/KHUk2uJYSI8l3Af+lsICIGmCEAmCaMyBjS8k5LKIkCaABwjhCfHNZ+8sghqdCEgBISAEBACQiAXBIIR1LlEU2c7xgLZNix2OzzDjz32WLLkF/3jGafkWVAZxxOFQomibsKGLGj5Jxwb8jTI3AYOHJhk32WzRn1hFGfOUfvcJMhKnu/aUK5hibe8bpR/StugjBOiB/N6WFCM8fxbmCA1ZAktJA+QPLugZTSXOaIswBDerl07PySKOKkAhOkTkUD/EiEgBPJDgMgXKeP5YVeKq3i/8q5HyCen1KVECAgBIVBLCLCHfeutt5p8siF0rSUctBYhkA4B9L/w9wRC72ILlV5wEMNJlqqUcSFjVsxDzqRZFJ5h2GJhy0NpRpFE4UbZpd44HueoXOoHHnjA3XLLLZ4gB0sFdbbJiYNN7/XXX/fJ/niL8aCj1ENKQ94c3i4861yDAQCvPKHdloMWxVRL6KCFGgZDzFkDhgGYbpkLpdHYtO+2227e4//yyy/7MZFgfjn1YimlRv4uIfZcw1phZ4Y8yohprKwPeX42P9aYSsg9Yg547cGT9RGFQBk0mOotHD68hlT96bgQqEUE+P5jCOMdQW4R361SWDtrEbtqWhMcIeSTY4js37+/JzaLW33yasJTcxECQqC6EOC36ZprrmkyKfa42sc1gUUH6hQBiHXZ0wWFPV1Uha1CIMJp+sknnxTSRdpr/5TYnDakbaGTQiALBKi3jYJDviDl5iRCoNoQwCiFsQqyrKD1lPKFGPLqVcwYAZFYVLWIasaFtB64QrCQEwlUaH1y0oaIpCKtqBhpTdWMneYmBIRAdSNAhKcU8uq+R5pd5RHYaaedyqKQl3qlFfWQl3px6r98CMA2jbcqii2/fLPQSEKgKQJEqqBokXccJHNcbbXVHF7WelbGm6IVryMozsF88u7du7vJkyenZA7PtDqimwhLExFZJqTq9zw+DJ4Totv4zbMouPpFRCsvFQLnn3++O+mkk5p0n666QpPGOiAEahyBv/zlLy5c7jmOUY/ykNf4g6rlCYF6RABP77hx47x3IcjFQPoLpaBIQ6EqQqqqBfWEWZw95HafrrjiCl+LGiEColCG8nq6/1prbggQObHccsv5i+Bo6dKlS24dqLUQEAJCQAgIgRAC8pDrkRACQqBmEIDPgdQJqioEQ44JZ4ZHok+fPq5NmzY1s14t5D8InHnmmZ5M88EHHywJ2YpwFgKGQDDLTxl/ei6EgBAQAkKgGAhIIS8GiupDCMQQAZhaqeMIkeHFF18cwxX8Z8qQFULsNXLkSDdlyhRP2mhCSUS8pT179nSLLbZYbNeoiadHAC8/RJ9fffWVQojTQ1WTZyG/otzo8OHDXbNmzWpyjVqUEBACQkAI1C4CClmv3XurlQmBtAg89dRTnt0f+frrr311gzjJ999/78td3XrrrV4RMyGvGAX8uOOO89UXJOkRqIWQ9fQr1NlaRgBeiCWXXNIb4iilahVRSrVm3pVWhrUc45VqHepXCAgBISAEqgcBecir515oJkKgrAhQFs8k+P+yTqKAwYYNG+bIHTbp2LGjV8IpOSgvWQHA6lIhECME/vjjj2RUTBzfYzGCWlMVAkJACAiBEiEghbxEwKpbISAESosATNjkDBOWjiIOO7ZECAgBISAEhIAQEAJCQAjECQEp5HG6W5qrEBACSQQ6dOjgpk6dKkSEgBAQAkJACAgBISAEhEDJECAtCq6iNdZYoySlUaWQl+zWqWMhIASEgBAQAkJACAgBISAEhIAQiDMCTz/9tI/GXGSRRRwcRosuumhRl7NAUXsrcWdYJSAgCn9atGjhll9+eUcOab9+/dzHH39c4pmk7v6UU07xN4nPpZdemrqhzggBIdAIgWeeecZ1797ds6HD/i4RAkJACAgBISAEhIAQEAKVRgAlHKGyD1WKii014SH/4YcfHB+Yll955RV3/fXXu7vuusvttddexcYrY3+QynCzEMhm6kXef/99N3ToUNerVy+36aab1suytc4CEZg/f76788473YgRI9xbb72V7G3GjBkF9qzLhcD/EHjiiSfc1Vdf7S644AK35ZZbpoSGH9wLL7zQ7bDDDq5bt24p2+mEEAABCCSpTrHAArn7NhZeeGF36qmneo9LJhk3bpw755xz3C+//JKpadrz7du3d/fdd19Gz84333zjDjzwQDd79uy0/WU62bx5c3fjjTe6rbfeOlNTN2DAAL9v+9e//pWxbaoG3IdDDz3U95VJXn75ZdenTx/v6SpEVl99dXf//fcnmfdT9cW+kLlNnz49VZOsjmOwvuSSS9x+++2Xsf3NN9/srrrqKlco2SHVWG655ZaM482aNcv16NHDffHFFxnbpmtAFYPRo0e7du3apWvmzx1//PFu0qRJjcqdZrwo1IDvYt++fX1fmWT8+PHu7LPPLvi7uOGGG/rvYqZyrN9++63/Ln744YeZppb2PJUobrjhBrftttumbcdJni/2ZYV+Fw8++GDfVyZBb6M8baHfxdVWW81/F3HQphO+D3wXX3vttXTNmpyjokdJJRETHxtJvPgoMOw/O+20U0PiBjYkvvwNXbt2bdhqq60aFlxwweT5BMtyw7Rp08q+tmuvvbZh11139Z/EC6Xs41dqQO4F9yVhBKnUFDRujgg8/vjjye/L559/nuPVhTVPvIAbjjnmmIYlllgiOQeen9atWzf079+/IWFcK2wAXZ01AvZOTUT1ZH1N3BomNgb+OVtxxRUbPv3005TTT2w6k+1SNtKJqkIgYdRLvkMefvjhks8toaw2emfZ9yeffxOb46zmmyjjWLQx33333YxjTpkypWjjnXvuuRnHo0Fwf5cPlnZNq1atshovYXgr2honTpyYccyEslq08RLKRMbxaLDjjjsWZcyFFlqo4ccff8w45m233VaU8biXCSN9xvESXsqGRPhwUcZMGI0yjkeDI488sijjsca3334745hPPvlk0cZLGBIyjkeDNm3aFGXMlVZaKavxLr744qKMB6YTJkzIOGbC0FjQeOyVEsbRjOPk2iC2HvLEl8IdccQRCfz/J3jYqEE6Z84c9/PPP7vTTjvNUWu5nELIOp96EwvfKEUYR71hWavrxbuDpydhtHLPP/98cpl4NXbeeWdvIcXqn/jxr1UItK4KIYAncuzYsW7evHneg4NHJWHAbTIb80AW6ols0rEO1AwCyyyzjPfA4jFkrxEUzm200UYO7xceqXSCVw4PezYyaNAgt+aaa/p9TSHC3LLxOiYcHj5qqVCv3P+z9xZgc1TJ+/aBXVgWh2BZYJHgTtBFAwFCcHeHAMHd3TV4cAuSIMEJEEiCu0sI7u6LLizbX93n/53+9fT0vOPzjjx1XZO80330aZlTp6qewkJeitWROQ0bNsz/PlRjleOZXmONNUqCiHcCoYXVWuWwkJsBpmifpuT4OZZrlUs3jEV1hx12SB/O/I53wvXXX1+1hRyPIds8z+wjeRCrIxZd3rPVCBZO24Qq2gSxvHfccYdf55vyU7R8oQI8i1hzS5Hjjz/ek3pV+yzirTLPPPMU7dI2VdzFF1/s8D6oRngWS/HGoY+hQ4d6XKt9FtHHShG8E7iWeExWIzyLq666atEmKId3ghlt88oyZ957hEb36tUr7zzHWa/WOn7cd1SuBt+d5ZM7qFdddVXmUEaMGJGz85HegWJXw3IXR/PPP39kD6HfXeNv+4GNzO09bvOrr76KjMU5spRK/mNx6Xn9XX311fF5e7n786effnrEThufK664Iq8O7R500EHR3HPP7fu3l2s055xzRtS3H/e88hy4++67I7sBooknnjiymyGaccYZo+233z568803M8t3x0HbHPG428PQHd2rzwoQaJSFfNy4cRE7sz169Mh5Nm3xGtnmVfTOO+9UMHpVqRUCPLd82tlCDla8m8Ncjz766Ez4zj//fF9miimmyDyvg82HQKMt5EkE+M0+5ZRTIlug57zbbJPRe8mZ+2SEFU8iBISAEBACzYmAKeERXkG20RVNOeWU8bs8rT/We/Rtp5ADrJG8xYAaRX2MIS43uIiFRVn6f9s9znGVtZ3WuKzFQeRdi0UWWSQ+P3z4cH/edqDiY7jeJgXFBJfcdL/hO+4d6RuAhWOh8rYDH+HO0gwihbwZrkJ5Y6inQs4ilMUoi1I2kZL3MBtctuMbWTxOeQNW6bogEK5Nuyvk//vf/6L11lvP34soTNz/aZFCnkak+b93p0Ie0GHdYV4X0dZbbx0RLpd837HxSEiXxQ43P5gaoRAQAkKgQxB49tlnI/OkjghzSetZRhKeY6RtBCTlM5HYqJtZcH9NuhkkXa4OOOCA2FUWVxFcFu699944n9zLL7+c426eZHq+/PLLnS3o4qlDCBLIOexiurXXXrtLWKi7ySabxAzwCy+8sLN4G09AsPzyy/u6FsfrSUaCWCyEM6Xef8Vd6IwzznCQE0HugmuWbTB4YgL+lwiBZkEAF7mZZ57Z3+8PPPCAdyWzXUfPnP7aa685ewl693RbuDbLkDWODkAAVzPzWvLuhryPt9pqK2fx5B0wc02x3giw7sBtGSKkTz75xLuY2oa97xYXXnLX8n3xxRf3ITuQpkmEgBAQAkKgsQh88MEH7tRTT/XhAryPIaMO6wDzPvY64COPPOKeeuqpomFHNR95I7T+WvVRiss6fZmCG+92YLFGIGIJ5A8QVBgreDws3NiDyxnnPvvsM38Oiwqu5Qa6/5hyEdcZMGBAfDxpPS9kIYf0I7TDjrn9SMdtWQxT1LNnz4gdGYiuvv/+e38O62KoA1lcUkxxj89BRNTdIgt5d1+B8vuvl4V8mWWWie9Nwj5sMyv6+eefyx+gajQEgfCOaXcLeQDTfmjj3wJIjywbRoyzLOQNueVq2kkzWMgLTYh7jd9qQiDCc8b/kFma8l6omo4LASEgBIRAjRCAJBivTDyk0x6buKjj2WQx8zlrgRp1XVYzbWchZ8ciScgTrHDsdoR0ZNNNN50zpdc999xz/kOKpXnnnZeqPlXZE0884f/GorLbbrv5vxGs5AgWaazrCEQEpPoqJo8++mhchJ10LIZBIFtgh4YxQhRjP97egpMkvmLMYbz8D0FIEHZzJEKgWRDAAnT44Yd7SzieJBDQGP9BswxP4+hwBGzj05100kkehYceeqikFEkdDpmmXyEC3GuQo/H7bpwzDoIm1hW2QemMG6bCVlVNCAgBISAEukIgpNTFe9nCgb33MTqVacg+1RxpsfFQhoAQzybKZRG9dtVHrc+1JZ0xrt9BUGSR5DF+HHFVKCS4NASBzf2II47wec5h6cXV7NZbb42ZOTfaaCNnqXQKNRUfT7JOllKemynJ4ohreiFJjrdQGR0XAo1CgGerq+erUeNQP0KgEAL77befY5P0tttu83lSyc262mqrFSqu40KgKgTYkIQ1mo9553mWf+MzqKpNVRYCQkAICIF8BAhN23333XOMs2TvgYF9iy228O/eYlkw8lut/5G2U8hRTj/66KMYOWM793+T1iAIKRVIr1RIzE09PmUEcT69mrkyOlJ63Xzzze66666Lz3PRS5FkvGwp8WPp1E+k6imUdiJpLS9lLCojBMpFwFx+PGfCSiut1O27iOWOXeWFQBqBEE/+0ksv+RQn5rJWdTqidB/6LgSyEJhjjjkcH4kQEAJCQAjUHgG4i/CU5nceHRAlHE4jdL9mlrZTyAMJGqCjqFo8q8c/mXsTl4XBgwfnKBbGgO4gZ0MBTwtK9wUXXOBdHVDMIaZCevfuHbefrpP+nlTyn3nmGe+SDhFMkL59+zpjnXbzzTefJ22zVGh+PIFsAHeLQP5GHUvD5utTRiIE6oUALj64XN50001+Q+rkk0/296dECLQ6AuSMJi8w79Uvv/zS/2hvuOGGrT4tjb+NEGCzyNKquaWWWsovKJvRqtNGcGsqQkAItAECZ599tvd4I0SolQyWLRtDjlKLksDn2muvdVyAPn36eObyIJZbPLaMW6olz66LYO07/vjjvYKNoGDDek7sNgnjYUlNCmx8xH0jr7zySsy2Xqp1nHrrrLNOnEj+rbfe8m7wf/zxh2+T2HTY05988kln6dNiJXuDDTbw5xFicnGbR9j5oT0YAYlFT1rs///i+k8IFEWATR9cKWFEn3rqqePyRjLoN6AsDaBbbrnl/POFMo7XRnJjq2gHKiAEmhyBdDw5mS0krYUASurss8/uf1+TG9+tNYvs0V544YWeod3IXp0Rv/r/k9wy2bV0VAgIASHQuQgQqky4cSsp4/5qlUUB182FkyzrDL2rD7nl0mKx3z7/bKhn1uiIXOMwnoZj5AvNEhj4kv3BlJ7FHF2IZZ02YWNPtmHEAlGPHj1yjtkmQty9xb1HFm8en7ebzI83iYMtRCLyq3e3iGW9u69AZf3DPmkbPb6ykQX6fLnkt0/ep2QAOPjgg6P333+/sk5Uq6kRCNe6U1jW0xeDbBoWwuTv+cDACiu2pHUQ4DfQvBxaZ8AljvT111+PVlhhhTxmYDMSRJa6J84IU2JzKiYEhIAQaCkEyHplBlefhQp9yQyXLTX+cgbbVi7rxAssvfTSjnzjSeuyLbS8EMiPNZk8c1999ZUbO3as/yDEmJMbGYboLFlzzTX9Lvy7777rT8OsXi5z9GGHHeZZ2XGrh2UVS3dghOf4QQcd5C3nQSB/e/DBB318I4zVuFWOGDEiPo87PmzvhWLLs+ZR72NY/cm7WqkQMlAq0yFu/5DfVSOwLZaTDxsvBZj4KxXCDPDEKFXIDMC9Uo1gQUpyKCTb4pxtNnkrDHE3QRjnyiuv7J8JnptC9asZV3fWhfSDsBUs/uRNLybPP/+8xwJPgnvvvdeHi/Bc2oI5pyrvIPvR8B92aXlvEI7C8bTAsnz00UenD/vnmfr0hWfPxhtv7KaZZpq8cjxrIYzlrrvuyiyTV0kH8hDg2uClxDUOBJm8W6p5j3ENeaeXKrzH6LNSwXuFbB2lCoShyWwkpdZLluM9lgy76qqNP//8MyZC7apcV+d4T/O+zhLwbqbfwawxVnIM7zwyAeBVx9rlqquu8vcoIXa2SepYU8Dr0a7v6UowUx0hIARaGwG8NCHRZm2G9zC/H0FYcxHC05ZSjvbe3WUtvVdk7KR5nzFjxnjrXsjfXWycWLZtARsNGjQosvQ3Ph+oxWQXqxaZ8h73jWUxS+yH0ucr52PxX1lFom+++SYyun3fN2OwGy8yFvbMshy0mzGy9FEROXKxspNPj+/NJMFCbg9JjnW13O+WniCyuPmiU8MaYvHzVfXF2PCYuPTSS4v2R4Fk7vly55Usb0pUSf3ZiyjCi6KavqhrC/XohRdeyOuTnUfwTrZvil904IEHRsYEnFe+nQ7YojayjR8/d6xQxYRcwpS1zb64qCnLJV0brjdYp8XSIJVUnzyZ9sOUrh6ZQhXXtzCbvPOlHgjXv1Mt5AEndt7DPVHtM2fKY8TvUilCbtRq+6M+92gpwu9H0lOs0r4tZCqyje2iXXJvJj29Ku2Pa2PhM0X7a+cCrAVYA9kmXWSbpDn3De9yMzZERlTYzhBobkJACLQhAqxn0IUsc1Xeutc2nKPVV189sk1Jrw+1q7SUy3q7XoR2mJfFuNdkUYnLqMXpF4XkjTfeqMmiMq1kddWxxVPXZI6EHpTyUjGrXU36Y45sQKXFuBNiDFEaednxUuwUMeu1x9dI6rqcMu6w5rnh3Ua574IEhdwyL+TUZ2OQzTg2elBa6GOBBRaIzAqaUy4o5LikJsWsl17RMe+Y2JUaZSTdjxTyLi9bRScJdapUYUzXMz6TomPgPWDMrzXpM30fFercUr7VpD/uSbPcFuomPv7yyy/nuVynsSr1+1FHHVW0v04pYNla/Oa88d/kXU/eTZwzS1OnwKF5CgEh0GII8PuHoZWNRIxB6d8B3mO4q2cZNFpsqiUNdzxKGQgSIVAVArjPjhw50jPFVyO9evXy7PWlCGm4cOWrRnCDhI2xFPdSyADt5VGVyzrusRBJ/fOf/yw6bB5N3HVKSZPXVWNmOclh6E+WNcu5d9nHNbLTBJfxtdZay5MofvjhhwVDJXBvh0ypX79+3l09CLnWzTPHp0IsxM5tPyQ+jIb2Dz30UGdeMXF988zxKRVNkfJuqYWEnNlnnXWWd4Hnfg+ZICDaCy68EFFWmnEhuNNDilWtG3OhObTS8YcfftiZx1JVQybcgJCPrFCFdMO4IENSWs1PMS7r3EeEOhQT7hvyYOO2Xo0Q7gEZainCcxLCvUopn1UGl3TyyLZb+EzWXMs99sQTTzjeU4SwBfJX2iAkaYcddvDvj1LDC8rtW+WFgBAQAuUgAJE2hNxmlHDGTZRTdd555/UZJUj1DPFwJ4kU8k662pqrEBACMQLE7JIPmNRCsGubS1QmOnA1sOC97bbb3LrrrhuXKUUhpzCL5M0228zH+LKpEzZ/SlXI4SwgQwRKNynoSIGISCHPvFw6KAQ6FgH4RljowokAG3vY5GEBTEpViRAQAkKgOxBgA9hCdN0111zjzNMwZwhk+mGNhBJe6iZvd8yh3n22bNqzegOj9oWAEGhvBLAYQc6IJNMlJmcNeRLKOD8YWNMrEWPw9kR+WK5oq1zB+rnVVlv5avfdd1+51QuWNy4Lt/nmm8fnUfCNp6JgeZ0QAkKguRHAi4B0P3hy8e4iXSokslidJEJACAiB7kKATUJIq4MyjhcZZJR4B2IlP+200zpaGee6tBXLenfdaOpXCAiB1kTAiPqcpRr01m+s12k2c4vD9BPDKl0q+38aCSzi5MMkxOLNN990K664YrpI0e8hvzL1ayFYzlDGcV1Oyp577unZqrfffvtadKM2hIAQ6CYECCkwEthu6l3dCgEhIAT+D4E+ffr4cFTeS6w98EgsJVS0kzCUhbyTrrbmKgSEQA4CRqjl07qRXg7X8qRwjFRD/GgES3ql8BHHj6D0VyLV1k/3yS51WhkPZU455ZR0cX0XAkKgzRGwrAA+zVC1aTbbHCZNTwgIgQoQMGJbz7kzdOhQt84660gZz8BQCnkGKDokBIRA5yAwcOBAP1ly/CaFPJjGdu4J2yxtU1WABLI0iNMqkWrrp/uEbK6QWErBQqd0XAgIgTZEgLy/kFYSw9mzZ0+H51Al4TVtCI2mJASEQAYCcPBAOnz00Uc7S5ObUUKHykVACnm5iKm8EBACbYUALuTzzz+/e/bZZ52laIrndtlll/m/g8JezaSDAhws3eW29emnn/oqldZP97fooot61/QswbVMIgSEQOcgABt7//79/YThuuDdB5kl78UzzzzTaZOuc+4FzVQIdIUA6yQyv8Cr07dvXx/yR2y4pHoEpJBXj6FaEAJCoMURgFwEIQ0HAvM6LpwwE1v++apm9/nnn/vYcYSUd5UIqbiqqZ/uc8opp3TnnXdeXlw8qdPOPffcdHF9FwJCoI0RgODy9ttv90RwWLxCWs6xY8e6Aw44wKdUJOUcDO6kOJUIASHQOQiQbhVySNLjLrHEEj6NYjASoJiTvlVSPQJSyKvHUC0IASHQ4ghss8023mJMzPiff/7pWddxydp9991LyiXd1fRRcCFRW2yxxXyatXKFHOaQziGbbrppudULloe47cknn4zPw+ZOeiR+YCVCQAh0HgKQRx5zzDE+ZzwcExtvvLHP+8478YEHHvD5gWeZZRa39957u1dffbXzANKMhUCHIEAWlksuucQbJMJ7ITCks6G/9dZbuzvuuMMbL4J3TYdAU7dpSiGvG7RqWAgIgVZBgB8Y8mB+8cUX3jI+bNgwnzc8pBurdB533nmnO/300331o446quxmvv32W6+EQzCHe1i11vr0AOO8UNgAACAASURBVMilHgQWeXCQCAEh0NkI8C5YZZVV3I033ujYEDz77LPdggsu6EEh/IZNRr7z/mDR/tNPP3U2YJq9EGgDBH744Qc3ZMgQt/baa/vwOLLLPPbYY96gMNFEE/nUr7wTWCeFcpVmn2kDuGo+hfEM6KjmrapBISAEhECLIQADKAtMXLKeeeYZHzs+ePDggrOgLHX2339/t9RSS8XlIEgKiv2oUaP8j9k+++zj3bySwg8arl7kCMYdLAj5wPlhJJ795ptvdijluJDywzjTTDPllONHEmGcXSnTKPW4pWbJeOON5w9DOBfI47LK6ZgQEAKdjcCjjz7qrrjiCu+6nlTCJ598cr9xyKZj8h3V2Whp9kKg+RFgvTFy5Ej/TENkm8yygLK99NJLOzwISVWGkUJSPwSkkNcPW7UsBIRAiyFAjDfKOIJCHKxCWdMICnnWuXAM9+8jjzzSsxanJSjk6ePJ77iL4iZ6xhln5BG68UMaFPKu2uAcinYhhncp5MXQ03khIASSCED8hqUM5fzxxx+PT7FwDzwcQkwICIHmRoAsMossskgcD85oWQ/861//cltssYVfe5AaVtIYBP7amG7UixAQAkKg+RHAio0VaIoppuhSGWcme+65p4OwLS1TTTWVTx1ErCW5NwtZpnv37u2ycn6jOOMuNuOMM/oxFLJ8E/ONol6KUFYiBISAEKgFAljKdtxxR/95/fXXPecGKZCIOZcIASHQGgh8//338RqGjAoo4VjCZ5ttttaYQJuNUhbyNrugmo4QEAJCoBwEZCEvBy2VFQJCQAgIASHQHgjgCYjRAOOBpHsRkELevfirdyEgBIRAtyIghbxb4VfnQqCjECB7BWFBeP9MPPHEHTV3TVYINAIBQkp4tkS41gi0a9dHNstP7dpXS0JACAgBISAEhIAQEAJCwJ1wwgmeKIrc5rvuuqt7+umnhYoQEAJVIgAR7FVXXeVWW201R9hcv379qmxR1RuNgBTyRiOu/oSAEBACQkAICAEh0IEIwI+BVw4KxMUXX+wzVGAtJ7Xa119/3YGIaMpCoDIEIHa99dZbPXcDz9X222/v7r//fvfnn386CNskrYWAXNZb63pptEJACAiBmiIgl/WawqnGhIAQKILAuHHjvDWPDykig0w44YTewgdb+/rrr+9ERlkESJ3uOAQI+XjwwQfddddd59OUQcwWJDCkQ8y21VZbFSSE7TjQWmTCUshb5EJpmEJACAiBeiAghbweqKpNISAEiiGAJW/MmDHukksucbfddpv7448/4iq4tG+99dZup512cnPMMUexpnReCLQ1Aq+99prPFU5awffffz9nrvPOO69PUbblllu6Oeecs61xaOfJSSFv56uruQkBISAEiiAghbwIQDotBIRA3RH47LPP3JAhQ9zll1/u3nrrrZz+FltsMbfzzjt7hWOSSSap+1jUgRBoBgQ++OADN2zYMJ9W8I033sgZEmlRN9xwQ++uvtxyyzXDcDWGKhFouELOyzaQeEw//fTu8MMPd+TdLSbnn3++e+WVV4oV6/I87k+77LKLW2ihhbosx0nGiDsVO7jVyBJLLOF3eIvJTz/95E488UT37bffFiva5Xnygx522GFu6qmn7rIcJ4cOHepdX6oR0iVsttlmbsUVVyzaDD+y5557rvv999+Llu2qQK9evdyBBx7o49C6Eq7dySef7D766KOuihU9x/25//77+7zSxWTkyJHejSiKomJFuzy/+uqre5e9YoK736mnnup+/vnnYkW7PD/ddNP5Z3GiiSbqshwnL7jgAkeqjGqEZ5EF1sILL1y0GRh5+UGq9llcfPHF3YABA4r2B5Y8i998803Rsl0VKOdZ5EcXS1E1wrO46aabuj59+hRt5u2333bnnHOOfxaxTiEwspJXuByZffbZ3UEHHVTSs0jO9Q8//LCc5vPK8izut99+btZZZ807lz5ALN3w4cOrfhZxoWXhU0y+/PJLn1e+2mdx2mmndUcccURJz+LgwYPdSy+9VGxoXZ7nWeS5WGSRRbosx8lnn33WXXHFFVU/i0HBKtbhL7/84knAKn0Wwz1Nf5LWQIDfzkceecQr5jfffLPjHgiCMs6zv+SSS7oJJpigNSakUQqBMhF477333NixY90nn3ySU5N1PQo4+cJRwvnNl7QRAvbya5gYyUBkShSaSvwxN6Wi/dsuUU6dZP1y/15vvfWK9keBlVZaqWZ9mpJdtE9zQ6lZf2eddVbR/ky5iewHrSZ9mlJVtD8K7LDDDjXpj2v+wgsvFO3z4Ycfrll/e++9d9H+KGCbBTXpc4oppiipv+OOO64m/YGpbSQU7dM2N2rW3zrrrFO0Pwr07du3Zn3awr5on9dcc03N+jvzzDOL9sezaLGTNenTyJGK9kcB2ySsSX/cN88991zRPh999NGa9bfnnnsW7Y8C5rpXkz5tY6Wk/kxxrEl/YGqKSNE+bbFWs/7WWmutov1RYNVVV61Zn6wHionFSVbd38orr1ysG51vUgSM+C0y4rfIiN+qvg/KXSuq/P+t04VF92Fh6csiM3pFd9xxR2Qkbk36pGpYtUDgr/agNUx+++232FrBjvVcc81VkmV1pplmcqYQOWIoqhF2y3ffffeSmthnn338DiwECtUIVjlSEBQTUhSw8/Xdd98VK9rl+UknnbQkyyo7a8ccc0zVVjms1Nttt12XYwonscLglpaMEyupYqrQbLPN5uaff/6iVcGesX388cdFy3ZVAKKZbbfdtqsi8blDDz3UuxhVK2ussUZJTWARxWqVtCKUVDFVCKtcKZZV4vp4Nl599dVKuonr8CzuscceJbXBs0/5ap9F3jmleI5gEa3Vs7jBBhsUnWN4FkePHl20bFcFeBZLvU/x2mH3nWfxgQce8M0yDlNeuuoi7xzWqgUWWCDvePpA7969a/Yslvq+4Vm8/vrr00Mp+3v//v1LqkMMH55V1T6L00wzjbMN4aJ99uzZ0+27775Ve46V+yxyn1X7LHI/9OjRo+gcbQPAx0ZW4jkGcRjv/l9//bVoPyrQnAhMPvnk3pOKD+s/PA65nnjJsQ6QCIF2Q8AUOzdq1Cg/rYEDB7rTTjvNsa6XtD8CDXVZ58dx5pln9qjinlmKAtD+l0AzFAJCQAh0HwKKIe8+7NVz/RAgBOekk05ybKiMGDGifh2p5YYhwGYV4QukSGOjViIE2g0BNjvZJEVgUsc9XdIZCDTUQt4ZkGqWQkAICAEhIASEQHciALcBXgTmjt+dw1DfQkAICAEhIASKIiCFvChEKiAEhIAQEAJCQAi0EgLGw1FyWEwrzUtjFQJCQAgIgfZDQBR97XdNNSMhIASEgBAQAkJACAgBISAEhIAQaAEEpJC3wEXSEIWAEBACQkAICAEhIASEgBAQAkKg/RCQQt5+11QzEgJCQAgIASEgBISAEBACQkAICIEWQEAKeQtcJA1RCAgBISAEhIAQEAJCQAgIASEgBNoPASnk7XdNNSMhIASEgBAQAkJACAgBISAEhIAQaAEEpJC3wEXSEIWAEBACQkAICAEhIASEgBAQAkKg/RCQQt5+11QzEgJCQAgIASEgBISAEBACQkAICIEWQEAKeQtcJA1RCAgBISAEhIAQKA+B//73v+VVUGkhIASEgBAQAt2AgBTybgBdXQoBISAEhIAQEAL1Q+Cmm25yE000kTviiCPq14laFgJCQAgIASFQAwSkkNcARDUhBISAEBACQkAINA8CDz30kPvzzz/d6NGjm2dQGokQEAJCQAgIgQwEGqqQTzPNNK5nz55u4okndr169coYjg4JASEgBISAEBACQkAICAEhIASEgBDoDAT+2shp4j72+uuvu//85z9uuumma2TX6ksICAEhIASEgBAQAkJACAgBISAEhEBTIdBQhZyZTzHFFE0FgAYjBISAEBACQkAICAEhIASEgBAQAkKgOxBouELeHZNUn/kIjBgxwt1+++35J3SkJgj8+uuv7oUXXvAxjJL6IvDDDz+4X375pb6ddEDrv//+u5tvvvm6baaEMvXu3duNN9543TaGdu14/PHHdwMGDPD4SoSAEBACQkAICIHmQkAKeXNdj4aNZrfddnMffPBBw/pTR0JACDQ3AlEU+ZCi7pTnnnuuO7tv675537MRKxECQkAICAEhIASaCwEp5M11PRo2mt9++833Neecc7pZZpmlYf12SkfvvPOOe++999xf/vIXhWnU8aKjRH733Xe+B7DGEigpDwG8OMBxkkkmcRNOOGF5lWtQOnkNF110UdejR48atKomAgJjx451n376qQvvfCEjBISAEBACQkAINBcCUsib63o0fDS77LKL23///Rveb7t3SO7bE0880c0111yOBbGkPgj8+OOPbvLJJ/eNDx8+3K277rr16Uit1g2Bb775xpGBA+GZ6d+/f9366sSGd9ppJ3f55Zd34tQ1ZyEgBISAEBACLYGAzEktcZk0SCEgBISAEBACQkAICAEhIASEgBBoNwRaUiHHxfGTTz5xxBt+9dVXZV2Tb7/91r300ktl1yu1E9wCX3nlFYflLi241nKOD6RfEiEgBISAEBACQkAICAEhIASEgBDoXARaSiEn1vGMM87wMc8zzTSTW3zxxX0+8+WWW869/PLLeVfx6aef9oy9AwcO9PG866+/vi+/yCKLuOmnn95tu+22VbNg33nnnb4PxnXrrbf6sS200EJuscUW83GZyJNPPulWXnllN+200/pzfKaeemq3xx57iB0676rpgBAQAkJACAgBISAEhIAQEAJCoDMQaLhCTjwtinK5gkV5zTXXdAceeKCbcsop3UUXXeTuuusud/jhh3tLeZ8+fbzSnZQnnnjCf/35558dZEHIoEGDfN2ZZ57ZDRkyxF1zzTU5dcr9grKNfP75526TTTZxCy64oNt0003d3nvv7RX1G264wa2wwgqOsey3337u7rvvdtdff73fFLjgggvcOuus4/73v/+V263KCwEhIASEgBAQAkJACAgBISAEhECLI9BQUreffvrJLbHEEp7tFcV87rnnLhk+FO/77rvPkzZB3gSjMoKSPvvss7sdd9zRnXzyye6SSy6J2wzK8s033+xuuukmXzYICv6+++7rXn311ZLHkFUwKP1XXXWVu+OOO3IIiXBN33777d1EE03kRo0a5eceZKONNvKbBBxHSV977bWzmtcxISAEhIAQEAJCQAgIASEgBISAEGhTBBpqIf/++++9izYW4c8++6xkSEkhdc4557ippprKW7SDMh4awCKNNfrhhx/OaTMo5Mcee2yOMk4hLNoIlvJKBRf6Z555xlc//fTT89iB2URA8T/ppJNylHHKTzDBBG6HHXbwdR944AH/v0QICAEhIASEgBAQAkJACAgBISAEOgeBhlrIK4UV6zNK/DzzzOOGDh2a2QxW6B9++CE+h8L//vvve8WXtC9pCTHn8847b/pUyd+xrmP1n3HGGd0222yTUw/yuBEjRrjJJpvMW++zhHoIGxUSISAEhIAQEAJCQAgIASEgBISAEOgsBFpCIQ9u4fwf/s66THPMMUd8OFjH+/bt6y3rSYFs7amnnnLjjz++W3LJJbOaKunY448/7ssRB5622tM+FnQI3P7+979ntgdTPNKzZ8/M8zooBISAEBACQkAICAEhIASEgBAQAu2LQEso5EFxJe68VIt2UNxXXXXVvKs3btw4hwV7/vnn9wRxlQpKN5KMTQ9tffHFF/7P5CZBup+RI0f6QwsvvHD6lL4LASEgBISAEBACFSLAhjsS/q+wGVUTAkJACAgBIVB3BBoaQ17pbKaYYgpfNSvu/L///a/bfffdPYM57uNBgoV86aWXzuu2q3N5hbs4gNLPjz1p19Iy8cQT+0Mo/lny2muvORTySSaZRIRuWQDpmBAQAkJACAiBChHYfPPNXe/evd3OO+9cYQuqJgSEgBAQAkKgMQi0hEK+4oorejSuvfbaHFRwPT/kkEPc4MGD3VtvveUmnXRSf/6PP/7wqdCIHw/pzpIVg/X8X//6V0575Xz55ptvfJ/zzTefCxsGyfpLLbWUd2OHaC5Yy8N5Ng622GILn6f8yCOPjMddTv8qKwSEgBAQAkJACGQjwO8764A0v0t2aR0VAkJACAgBIdB9CLSEQr7XXnu5Hj16OMjddt11V58qjDRmuKOfeeaZ3uX76quvjlF86aWXPJs7u+NZ8dvBQl6NQk4bKNSF2phlllncLrvs4onmGOedd97psIrDEs94IZXbeOON3QEHHNB9V189CwEhIASEgBAQAkJACAgBISAEhEC3IdASMeSwkaOEb7fddu7iiy/2HwQLOHm+UcqTxG1duaT/+OOPPgc6seOwtlcqpSj1Z599th8X/0P8FuSf//ynT+O25557+nRtEiEgBISAEBACQkAICAEhIASEgBDoPARaQiHnsmBVfuGFF7yVmbzkxGhjAZ966qnzrhppxrbccstM6zj1vvrqK+9OXg3ZC67yxK0HN/m8QdgBNgxOOOEEd+ihh7rnn3/efffddw7L+QILLJDHyp5VX8eEgBAQAkJACAgBISAEhIAQEAJCoH0RaBmFPFwCmNH5dCW4qWe5qlMHRTydBq2rtgqdg4yNTylCueWXX76UoiojBISAEBACQkAICAEhIASEgBAQAh2CQMsp5LW+Lr///ruPBS9H/va3v5VTXGWFgBAQAkJACAgBISAEWgwBSIIh533ssce8dyVrxumnn957ba6++uolG2ZKmfYrr7zi+CBzzTWXW3zxxf3fb775pnv22Wf937POOqtbZpll/N9JYR1bTQjk//73P0co5oMPPug+//xz9+eff7oZZpjBG5NWWGGFqjxK02Otxfdq51vOGEaMGOG+//57X2WVVVZx0003XTnVVVYIlIRAxyvkWK9JnVaOvP32265Xr17lVKlpWcZ7xx13OGLRK30B8yODfPzxx56JNshf//pXH1/Pi7iTNx74YfrHP/7hMZbUFoF///vfjkwH/fr1q23Daq3bEHj11Vd934TjSGqLAO/7e+65x62xxhoKdaottGpNCHSJAMrpTjvt5MMks4QMO3AEwW9UCxk+fLg79thjfVMDBw6MFfJ7773X7b333v74ZpttlqeQP/DAA+68885zt99+e0XDGD16tG8/vMfTjcw777zu0ksvdcsuu2z6VMO/8z684oorfPgqXEyNkAMPPNBzTyFgJYW8Eah3Xh8tqZCHnbynn37as6mzY7jaaqu5aaaZpuwreOONNzraK0dQVrtT2B195plnajIEfkz4ZAlkeosttphnkt9ggw38jm0nyM033+wZ8OEYgANg3333dRNNNFEnTL0hcyTkhI0gfuSvu+66zNSEDRmIOqkJAqR/XGihhbyn0W677eafmVqEBdVkcG3QCBYqNgixypH6EwuNRAgIgfoigMK35ppr+jVmkAknnND/iZUcIYvODjvs4NcHKMqNFlLqbr755m7MmDF+HVyJkL1owIABXRqmXn/9dbfSSis5FH+s5d0leAlstdVW7o033nCbbLJJdw1D/QqBuiDQcgo51lxegKQNSwox45CsHXPMMQ4rb6my/vrrl1q0acphYWyEfPLJJ44P1niI6ZZcckl3+OGH5zDGN2Icje7j008/9V2yUXPYYYd5Vv+TTjrJ//BV6pHQ6Dk0c38//fSTHx4/8rjkbb311l6Jm2mmmZp52BpbAQS+/PLLOOxn8ODB7oYbbnBHHnmkV84htpRUhwCLfoTFNyk0sZSffvrpbr755quuYdUWAkKgIAKnnnpqrIyjjGKNXXDBBf27DoMIv1u4kvMdkt9NN920buuD/v37x1ZZiIGDvPfee14Zr1RQcEnPG7xEMfYcf/zxbqmllnKsM0nXy9rv22+/dXhVbrHFFu7dd991YWOi0n4rrff44497ZVwiBNoRgdI11yaY/VNPPeVWXnnl+CWJuxAfrG2//vqrO/HEEx3u5EOHDq3bi7EJYPCWal5K7N6ee+65FQ2J+CBeuGlLFkzw7Ah/8MEHHkswf+SRR9zPP//s8EhYd911/Q4plpqZZ565or6bvRKeAUkBC1j78SQgxZ4I+qq7goQCEI9FuAj31dVXX+1uuukmv6F28MEHd5m5oLqeVbseCEw22WRxs5BmfvPNN26fffZxF1xwgWNR24qbnvXAqdI25557br95RUYPNrOIZxw5cqR3pcW9Ve6T2cjiZoxyQWrUFVdcMbuQjgqBAggkjT577bWXV8YRNuUxTuAiHsKuWCPwCVZq3oFhIw3PFn7rwnqKNpZeeumywh7x/lxkkUV8/5NPPrn/n43QYDzgO0o1yjLjm2222XyZYnLUUUfF1n7GhDt2CFVkzDvvvLMnUWbNw8YD/fHuWWuttfKaZt2IwowRh41YNgzxnMrKZpTEB49Tsh999NFHvv5vv/3m67JZnzSAcJ56QXgXMl+8E1hTsJ79+uuv/ekePXr447j6Uw5X+7QHQdhYoY3//Oc/fj2LN2ghQui8CeuAEKg1AnZTNkzsgYI9zX9sV6+sfs1FKJpzzjl9XUt1FlmsTWQvIN+GKeTRRhttFLdtymJZbbda4bXXXtvP1XZkGzJ0e6FF5loc2cs1xth+ICJ7eTek/0Z3Yi7r8TwfeuihyF7m8XdwN5fRyGKtuhyWeRL4OuaW3WW5TjxpP/AemwMOOCA65ZRTIlM0cu4r2/iIbDe+JGjsRziue9ttt5VUR4Vqi8BLL72Ucw0s3CPneTFrS/Too48W7NQWUXF5UzYLluvUE+utt57Hx8KGIvPWiUwBj/GyRXN09NFHR7YYLgiPpQH15c3KV7BMO56wUCM/b1PG23F6HTknU7T8NeU3ot7C7zx9hd9xsxbn/C6x/jQlPDLrcWQKXc5w+G0LdW3DOTLLcmTKZXyMv83CHtmGdE49nuVQz2LI43NmnY+Pm2u8P77NNtvEx0Id/jcP0ZKgMYK6nDHdd999BevZ5mrE/HlXp8UU6Mg20iPbKMgbzzzzzBOZUpyuEtnme1zWPKoiU/wjU9xz6tumR2QbAHFd25jMa5/5mlXfl7ENkvi8bcRF/O4EXMxwl3ONzGgXmadBXnvGn+TXJGawyhmzbRDEZeu97qXvMG7W3ZLOQWB8u/ANE3bBwm5ZqSnDwuBGjRrliFVEsIAT04w1BsGiOWzYML/riODOh2t7tZ/PPvvMt9fpwrXCVYk88BdeeKHfeWQnEgs9MUXtLEsssYT3EIBrYPbZZ/dTZc6LLrqod/Vil1pSGQLsomMRHzdunN+J53nmvsK6ijUCq7mktRDAMsOzwjMSLDp42WBhIeYPF0tJZQjw28lzwvPCc8N7GA8TrOS2We0uueSSsvlQKhtJa9QKcb7h/9YYtUbZLAjYRlY8FDxUzBDiLa+2Qeat43gpQvqKl2FXLtw8q9dff71f+wbrs6kY7pprrvFu7vzdHYI1OvTNb3FXseGEH2EVZ/5JwSoP0zyeUFmhlLyrCLHBC66Q4BnHu4u2sXQHwSNzzz33LFSty+N4MvK7EwQvrXCNQvghHg1pwXOP8APb7Oi265Iek753DgINdVk3y7YncSIeBUWnHEEZRHr27OkJ3NLCYh4lHfIbs9jE7JTpcuV8x10Gd8FyNw9K7QM3GdxwYDUvh5AO1yckuOeU2l+15fhB2XXXXT22xDTRPy7sKKy9e/eutvmmrc99AMkbc2VDAp4CXtz8iKA08oMLQ6mI3yq7hGyoEafPBodZFnxMHD/kKHAQWJ1xxhk+xYykdRDo27ev3xCFNRiGWhY/PCuwAPMOOe6443y4kaR8BFAAzIrjY/SPOOIIHz6EmyjPD+8knpc+ffqU37BqCAEhECMASRvrTp6nQPyL0sk7LLCZ87uEAtcVoRspxHB5P/nkk71SePnll/tnlzbvuusu71bNeqpcYSOO2HZCMhDWxsR8J928u2qTd0YQ1p+VrF/ABiZ6hPc5HCLrrLOOI/TRrP3uyiuv9PPk3UTYSNptnHq4wfP7TwgOY+edhtKMJA0+/JZAQEefCHwaYEooT1pYn4Ep6wlCVzCgIFxP3PSDHHTQQT5Ujrmjm/A363L+5jcsYJtuX9+FQF0QaBVnAIsP924ctoNWcMi4+FCmUz5msS2IRb1PvPjiiz50AKxx/TFLcb27bFj7SZf1LFdQi2PyLlr24xrfa7ZTHuGaZj8+fpxyWS98uYLLupHFZBa6//77I0ufFWOLKxvufUn3tVBRLuuZEDb0YNJlnb/TglsmboAWax5fU1xPOYarp1zW04jlfg8u64RlZYlZgqLlllsu53cvGVbTqS7ru+++u8fE4kKzYNOxFkSgkS7rAR4jcIuM0DXC7bnQ2hIX7KQkXdb5LUu7QCfDeng+g5Tjsk4dSx8aj8mU3bwrakSQPqQz/eG9a56kcV0jVM2rW+wAc6JewIRwmqSwFkq6jSd/75Mu62aZz6lHGEASZ1zigyRd923DPqde0mXdFGwfSpCW8C6kfd6raTFlPe7bPLzi03JZTyOl7/VAoKEWcnsIKpbg/shuGu7r7F4lhV04LOMIlvhaWAjYNcvafat4EqmKuNK98sor3uW+nFRqFuvjLU7dybLLzjBhAuxCMhZb/HhX1U4Q7i8sVLD9s5uL5e/DDz902267rSeyCju4nYBFPeaIVZydbHKNspsNuzTufeyQ48IG03+SSKweY1CbtUOAUCW8SGAlxqqDhQhyHixLWFCwUkgqRwCCKbyUsI6RohGLUAirwcID4alECAiByhDAIxCXc9ZrPGd4cEF+hkt0sJwPGjTI2YaZJwVLC+E6aWIz1qchJAtvsHoJJMikb0uLcXp4z8wggYAuXa6r71jYIVQOgodqUrB2494fXMfxXs2S9Do27S1KWE5w9c+qn3UMz9Y0YTHlkm7s6fFynmN4byHoE7w7RfKWhbCO1QOBllHIWaT36tXLLzZIQ7pyKAAAIABJREFUP8VCjtgUHnrieFmIEBODnHXWWT4GpF0FlyCU4Hq50peKGy5DpDfChZsfF9yvstg3S22v1crBds8mhO1Su/3339//T9wTsVjEdEoqR4DUhcTLwl3ABkdIQcP/KOe4wyVj/CrvSTUbhQDxgbgmwhGAG/vdd9/t4zB1HWtzBYhxJZ4Tt9FkWE1IPReUh9r0plaEQPsigBLIGou1JRlpMADhbs7/wRiEossaKHAN4caepZBnrdPY1A/SXRtmrF+C/Pjjj57foxA7OxmMYItnfReMR8mYcUJGk3MK7U477bRxH1kx5pxMG73KVb7jDhJ/4L6fJckxZGWnSI7XLKCeoV0KeRaSOlYPBBpK6lbNBHgZEj+C1drYIf2LgRcEu2tYmNnBRCBv2GqrrarpSnXLQIAclaTFQMjZzUus04Qf4ccee8wr5yFGKhAQYt0lnklSGQL8WKNckO8VBR1LA14yxKSRUoUULJLWQsAyD/jNOwtN8NcwKcQEZpHttNYMu2+0KN/wWbBxjVcCi1vyByNYqIYMGdKR7+juuyLquRURwAuRdQ0x2mx0oZilhfPJdHqFOH3ef//9dFXP+RAkbRHOK1zigay1l7Gce/6V9IffVXKNhxRqdAEXRZbwe4tn04ABAzzpGvHVSJKAjU0LvATTQkqxIObenj7tv7P5XolkzTe0U0ipT445ObZQL3kMRTxrk6GSsaqOECgFgZZRyJmMxcl5dyEWdAiKOeyXMD2isGN1sRQKee5BpQChMpUhAO7sniK43+M22YkSiN/Gjh3r3dkDQQoEhnh2YNmFLERSGQLkCMW6istZYIMFa9wEJa2JQAhNwNspZMzAJZRNVtzZC1lUWnO2jR11CKshlzIutwjvH8JqWIiDs0QICIFsBFC0g1KHBZtNrrSHCRblJOnYHHPMkdkYnkDJfOEUSmYQKZfgONlJkt2d/N1pMT4cZ3w/eR8UdOZHqGEQNkPZJE0KlnO81MKmHuFHgVQZl/AQSkodPFOTwvubd3sQvHeqlWLzDe0nyyX7xIU/COGF6QwMlk4vPo/3Q/hdqnbcqi8ESkGgpRRyJkRqMxQ/XoQwMRLDe+mllzp2IU877TQX3PNKmbzK1AYBXOhDHFDYPa1Ny63XCruqWKbYKCJ2jBc6SjkKhlJ5VX89US4sN7y74447XHoBxI8pHgmS1kEAj4ftttvOu4ZihcFyY0SKfgOLjSwj8fEuo5LKEMAt1Uip/ELb8vX6RvjOphaWPyzpEiEgBHIRIAUXFuEg8JngzQNrt+W49uzbfA9WcTbgC4VJotATMw7nDvxHMLKHWGbWq9UweSe5VODlIMsC6+D05kGh6wsfS/BSYpz9+vXzH7wd8ULj/cHvbRDW20m3bvAIcu6553oMbr31VnfZZZc5uC2COz8hfLznq5XkfMniwXoTTpK0FGKa55qGNgg5wMiH1xAbJKxj4alBUOgJi5MIgYYiUA+mOLVZXwRsIeWZIC2HZX07KqN1W0z7MdmC2jMn20IvsvRGEezjpqRGZuGMjAQtMkW1jFa7p2gxlvVyRsV8k4yqYGSbSpG5uHfZDMyi559/frTssstGFprh8TPCkQgG8laXYizrpc7Pdrejiy66KLJNj5gZ1eL1Iphqs9jxk+3CBm4LhIhMBeYyGFnavshc4zOZWUsdT6eWK8ayXg4usAFbaELONTWPqMg8b7psBsZfC1uKzKoRWfygz8ZhC8vIFsFx5oMuG2jik8VY1ksdOqzHFlYTWZxo/LyYQuDxLpYlw6yBkaVuirgWZhmLeIZhSra0naV23/ByYllvOOR177CRLOtkhzCLavys8Nud9eEZYs2QlCTLOs+bKYiZdWENT0q5LOustfj9So8rKyNJoYtD2SQberqt8N0U9Mx3qXmmFpwfdVm7pNd9SZZ1M1bkDM08XnPmQ1abILSTHh/tI0mW9TQDe7ID28z369R0O+G7eQ5EpujnjEks6zlw6EudECCeTNJiCDSjQp5Mv2GuQAVfeKSjYJHczFJLhTzM0zw6ItJohJc+P9Ao6hazlAcFqUoWW2yxgj8YLIxDerW8yi1woFYKeZgqSpyxr0f8kAZ8ScdCGpZ0uhnqGOlVZHFrmfjy425uvi2AYvMMsZYKeZiVWT8isyrlXCNSeZFuMS1svqy55pqZ15P7AYU2mTonXb/S79xbPL8s3OsptVLIwxhZxJs3SU4aJ1JYkoYuCyc2QwotYEkF1aybhFLI63lXdk/bjVTImSHKIb8jKKwo3kklzsjNfDpOC53KAyOpkFsWCa+wm8dPXJ+NrbQSTyPm9u2NGHzMGh23a67f8XF+65LCJhvlw9jYjDTOlbwxdXXAXNIjs2r7FIHJDW6MKeaiHpnbfVfV/TuAdSnruzAONkaN7NantUzLCSec4DfD+ZhFP+c0mIdz/G85zXPOs3HOpmDoh7RyiFm643p77LFHusuc77y32WAwa3/cDpv5G264YeZvDL894boYeXSXbVd7kt+VMLf0xkC1bat+cyMghby5r0/m6JpRITfisvglYu4+/m8jDPFWFH7Q2AUNecs5b2mtMufWDAfroZAzL1605Crnhyq8cMECBRv8EBRtc3WPz1vcVWQs497qa+5j8fEzzzyzGaCqaAy1VsjDIMhfygIpaY1gY+PBBx+Mx3nvvffG541lNWJ3n0XQlltuGSvpKOXkN5eUhkA9FPLQcyk56c3lM34uWDhbLKT/WHhDfHzgwIGlTabEUmzqhEUhC1i8lYzTpMTa5RWrtUIeemehzLsnuTllrqXeih42/Myt03s48b5CKUfJ5XnB+8niSf1x8stnbSyWN8val5ZCXntMu7vFRivkyfmykcXmL94ixX4f0gp5aOfzzz+PkhbfWuLJ85yVe7vcPsI8jXguQlEvR3hvmJt6phJeTjullMWyb2R7pRTtsgxrL9oqd65dNlrFSSnkVYDX4lUbqpCz84XVgx2tWrw4Whz7ioffjAo5k2GHMSialuMyz02JHzKUIMqwE9msUi+FPMwXixrWKBayAS8WGlit2IkOx1DEk2IxXhE7tZwH3yxrVrNimhxXvRTy0IfF50UWGxbjCF7g9uqrr0ZGoOOPs7mBJ0JSRowYEVlMsz9/+umn1xVKiyX0O/pJC76lAIvwLkm+G/mbY5xLCmMnpIFnKggu/BZPlxcOcc8993h37np5VdRTIWduLJTY1CN0IzwbvGuMq8FbM8IGDEp3co5gS5gMdVCa2bCphRgbcc69FcaEe2uWR0a1fdZLIQ/jsjzIeWE1bGxYruLICJ38XNlMTbudct3DOwxrU7OJFPJmuyLVj6c7FfJyRl9IIS+nDZXtTASkkHfmdWfW4/GP/eA2REj1EFIfmNUqJ2VEQwbQJp1APgGbuVllPFFIswjpOyAWQWC8h1wkLaRJg4Uc0g1TKtOnPWM+pE6wBCcJPPIKlnAAMjWYR0mPVw5bJjlIAzkYY6lXHkqeB/K4m9U8JmGB5AVGU3PVcm+//bbHKSm2CI6ZTUnhEdjcS4DDFyEzARiDCYRalQrspLQFCZe5rZbVjFkZPLupKUuZhCxlNVagMK81Mi5wv4W0MwFLzpHLPCs94rrrrusJ42CTDflWC3SReZgULkcddZQzi3vmeQ5CBEQOVMZBX5BrITDfwoq97777ukGDBvlj5OyG2GzRRRd1zz//vD+GwJYNGQ2ssRAFITDagin3EPctY2HuIbcsGSogFyokFoPn+NiCoFCRzONcS64pAtGOxeNnlqv2IOkDIfKEPChkLOC5ZrwhHSb3Y1KoA9Y8U5ARlftOMXdJjyXPS0jPw3NbKGNCoWeSMfJOgdkYwqhyhHq8k4xPwpmSXE7VsspClApJE++YIOF9xD0N6V5azCXV36uUIxNCOcI1gcyPPM1ZvwXltJVVlucMpmfujWS6o6yyOtYaCJASkWcJcjHI1ZpVWP/Yhrofnrmse5JKiRAoBQEI+cJ6FdI6WO4lnYFAZQkAK8Qmqfs3cB+gwtGqWrkIsCgLYm7ZmdXDYp/rz2K3kKDs8amFVJPXmJdjvWTGGWf0ObZZlJIaBQnpRdi4SivjnJ9lllni4aRTqZQzzqCkllMnqyyKSdiEyTrf1TGz7nZ1uqpzYGfELl6ZQmlAMUu+cyweLLP9cJx6WXlKMyulDpJqpiuFnHQxKNQodjDRBoFtF7bX9ddfPz6Gsg4rdvpH2TxMHLnuaScIjLHkzYU1NyiPbCpQl/mj8HclbO7RZjVSKBdvNW2GuihtZCtgo43NB57N8D5hAy+tjFOPOmyu/PDDD/59Uuk7JSvHbtacij2TbBAylkqkWNuVtJmsQxo6NjxgIg59hfdRoeclvI8oV+nzwjuEa1ovAfNKx1avMand6hCo529HdSNTbSEgBIRAZQg0VCGvbIiq1SoIkDYjiLn/ektfWsLCCKuVxZenTzvaIG+muTU7i0HPO1/OARbRWJcsjrgsa7C5NjtzS/VdVWNF7mqsWG7wFCBVV8ANpWKeeeZxRhriraEoN3gdJMXcj+OvKJrJFCRd9RfOoXBhbUvmDy2lXroMC3AURVJTYT0sR8hXynWplyWVseCBg7UPiy2Cgo6VmXR04H3ffffF+czD2PEcCHllKYsHSrnC/WJkfV1WY/c7mZ81FMYazicpffv2dXzSgpcMn6SQWmb06NE5x7AOlpqKkPQxWOzL3SwltQ1WfKQSr4L03LK+Y4Unb6yRAcXKG5ZV7mPLWOAVSNJhklowKdyjQQFm88LIlLKaL3gMyz8bJ6TbC1YLPC+MAyOvDhuSWMOyrPBgyr3I8zzrrLPm1e3qAN4cpOjhnVgvwTOD5yWZhxisLEbTGZO6f1523HHHvO6Nk8EfwzqezGmcVzDjAM8b1wc8Cm3gZlQr+dDtt9/ujGzUsZmw2267lVxPBZsXgeOOO85vstbzt6MWs2ecpA5DyvViq0X/akMICIEWRMAWCg0TUqQYRP5j7pMN67fdOmrGGHLiPNPM1bCBBvIT4qbNfTi+/pAuNavUM4ac+CCI3WBoDc8C5EjEw5ri4NPFBVI8Up6ZJTuGCUKyQIwHYVWrSj1jyIm1TqeZI2784Ycf9nCR6gzcYcy99NJL45hfYrU333zz+JoQTy4pDYF6x5CTpsZyzsfXhvcMqbogSPrxxx9jplx4AZIs7DC1w9LL9YZIETb2WghkRxD/heeX/4lR536qh9Qzhpy5pNPMgSPEbsiJJ54YzxN248BbAZawRwcMLIygHlOvqk3FkFcFX1NWbpUY8qYET4NqCQQUQ94Sl6kug2woqZsU8tpcw2ZUyM3yGi/OzLoY/00aDBbTgZGXBZy56UYQlDWr1EshhzHa3IljbCAQQ3lMKt1gwmZFWOiy0CdFCmm8kgo8ykarSj0Ucphr2dRIpj5DaWLzI0n0BQNsEksWeFyTZD2IrCSlI1Avhfzpp5+OVlhhhRzFF3K+dFo6lMcksz7vm6QCz3N22223lT6hEkrCzGveLH5sPKNm6S2hVmVF6qGQB2JJMmGE9wrPAmSTsCwHQfE2a2RchvI8L8k0aMsss0wEoWCzCTmemZt5RjTb0DSeChGQQl4hcKrWMghIIW+ZS1XzgUohrzmk9W+wGRXypBJLChxSEQXG6rDgY9FMeqCQ4qv+SFXWQ60VclIHrbHGGjmKBYzM5pZecIAwrmfl/iUtETnfW1lqqZCHnMqwzof7jL9RLApt+nB/4n0Qyof/sbxamEWOQtLKODdq7LVWyC3UxFttk++P+eabr8tcuDyzIYND8rriiVJrZTzgaqEE/h7ivqmn1FIhZ7HHBobFfsf3fzr1YnoubHYZr0He88L7fLPNNmvq9zmZFZIbDOm56XtrISCFvLWul0ZbPgJSyMvHrF1qKIbcVlSS6hG46667fCO2cPaszldccYU7/PDDfeyhuZZ6pmNIg4iR7hQhrhVmYmJzA/nU3HPP7dlhi8UZ77333p4FHDZ94r5t0ezM9dqtttpqMWFXp+BYaJ5gQ8x14CUghhdiNPDlfisk3J+wVRN7bK7sPsaYONM111wzhzSvUH0drw8CxCvDTAwjMURcCOzYRx99tI9f7ipTAiR3q6++uidHhAMCIZ6cawqpm8R5fgHixEP8O7wKG220keeyIKtDIYHb4pZbbvEZAIgxhxgP3oh+/fr5930zSz3j7pt53hqbEBACQkAItBYCUshb63o15WgtjtNBoIOstdZa8Rgh/OpEMh1IZ0gfZfGXDmwQUh2R4gzio8CAXexiUsdinosV67jz5srsmdOTKaDY7IEgr5wFOGmk+Ei6FwHIvdjAI7VWSDcIYdsee+zhN/WySNKyRkwdmPX5SP4PAeNV8O8eGPyDWJ5xd+aZZ5Z1/8Pez0ciBISAEBACQkAI1BYBKeS1xbMjW7vssst8CjMYprFQdqqQhgl2dlIzwTyNYNneddddHayr5ebr7lQcC80b1nzyz4KxuSj5YjDoo1isuOKKharpeBMjAKs92RiCVZt3CCnjsJLXg3m7iaGo+dBIR8h7Z/DgwY5ND4Q0ZRzbeuutM9Mq1nwQalAIdAMCZHkJ7xQ2kfCeaVXhOWZDDTGuE0eWknKE30qyIZBBg2wNrNXYvCSLApk61l133bplkylnnM1WFtwxikiEQKMQkELeKKTbtB9eWkZC5mfHy72TXNKTl3TUqFHeHZSUbUhwB0WxwEVaUjkCLCDAEQs4OYsR8rSzSNlpp520mKgc2m6rSVo/vBxITxcELwdc1ovlS++2QbdIx6SIu/DCC72rf0j5NtVUUzkjPfQhHizqJUKgnREYNmyYI10gssMOO7S0Qk6KVJ5nhPCbchRywrmM58GnF0zLU0895a666iqfQo5UjkaEmS7Skd/ffPNNv/GPMh5w7y4geIfjbdkMgmenZUpyxofUDMNpyzFIIa/yspLTOMQ7VtlUydXJAd0sQqwzMYXE72J56TQZN26cd7VNuoMuvfTS3mpr7MOdBkdN58t9Tr5ufhy5xxB29tn4QLn4+9//XtP+1Fj9ESCnN++JJK8Cm3gcK8arUP/RtXYPWMKM3M4/G++9956fTOBVIH/7tNNO29oT1OiFgBAoGQFLoer+9a9/xb+dVJxxxhndNNNM4yyzS7xZx+YoHgSEgsEX0cmC9x0bOKw98Gzsbnn77bcdn2YRvNcwkEjqg4AU8ipwPf/88x0KKa7K3SGBzKo7+qZPyz3rrrvuOt891i5IlDpFvv76a08elnQHNQZ0HzcOURIWcknlCEDYtt9++8U/RsGV+bTTTnPGnF15w6rZLQhYmi3H+xLFEPI2hIUhmy3l8Cp0y+BboNMnn3zSv4Mff/zxeLTweWBNk+WrBS6ghigEaogAm3OW0SZWxvEoGzJkiFtppZV8L3jRYHk98MADffgXyvtJJ53kPZQ6WVB+m8ngBZEpa5/uFkKeuE+4byT1Q0AKeRXYjhw5stuUcYaNK1N3ySWXXOIVJgRL8DHHHNNdQ2lov3hEsBHBj1fAn13lgw46SO6gNbgSzz77rFcsYD8PgivzoEGDOmrDpwZQNkUTgVcBqy3ZFhDcLvfcc0932GGHOctr3RTjbNVBkIEB4rukhw7ZGFhYWw73Vp2Wxi0EuhWB5557zsdcwwWDJxZu3WRysFSk8bjIOsBGGEJWD0tPmDdmODKC4QS+Ez5BHnnkEXfPPfc4Nvfx/IJokTYmmmiivHbKPUC2CeaAoNSRBScZCgS3Db+zH330kTvnnHP8e/jjjz/O7Iawl1tvvdW98sornqQWV27eLWRZSCuLgaCThgiTweuJ+eMSj9cO+FGPDxK84ELHYJyO28arivkg/HaQfSYpDz30kI+RJ3yS9gOO6dAc5ge3AEJ2CGLo2ZT48ssv3SKLLOLnEjCjzNixYx3rXHg3wnhDv1n3xwYbbJBHQIo1ObybyeQCbqwf8VCg/2233dZZmtac+SS/sImyxRZbFDzfqBOLL754DjaN6rfT+pFCXoMrjkJKbF65wo4TD/3MM89c1sKUeFpeCN3BeIt7PgtALC+MHyZ1Xtbpl1+5WDR7+eAOiuLNyxQJ7qBYxbH2SSpHgB9LPA4gCAweJ/xonn766YpZqhzWbq3JYpRFHwtXJPAq4OUw66yzduvYWr3zb7/91oFjkleB3xE8EETY1upXV+PvLgTgKNlll13c1VdfnTcEfvuvv/5617dvX38ORX3gwIH+9woFl9+wZFgI1kSUqRBuFeK4UWpRKlH404LSRtgJm2rVyG233RZXZ0O7EC8Hm6KklCQ7SVq5pgFiqLGi4+GUFFIlLrDAAh6PpGckCjb4IbSJsstvQOB+4ThrR6z3xPmzhho6dGjMJYKRg5C0pPCOC5b7nXfeOVbIKQu+QVlP1uH3Zfjw4X4jJQiEdmFs4I+rPutvhOtHNg+U+iAYBfisvfbasULOPHBlJ/Y+LdwfuLyvuuqq8Sk2dEKfKPXwLaWNDV0p5Ok+9L3NETBFo2Fiu3FQI/vPmDFjGtZvvTqyB9XPxV4u9eois93u6Nd+dCL7oYhsVy++hrYhEFmu7cwxtvJB5hnuU0thFpkbaGSxWPExzpk7aGTuTa08zW4bu/1QeyyNICSyxUlkxCWRWQVifC33dHTxxRdHttvebWNUx6Uj8NJLL8XXjr9tkRNZ/u+c52XllVeObAFUeqMtUNIW5n6ORnZT19Ga1cz3Y6EwkS3yI1ugRraIi/E1q5B/hsx7p67jaLXGeX+wzuAdI2kPBMx66u97noGuxDal4ufDYoK7KppzjrLht9+yokSWQjHi3RWOmRIemWIX11lttdXic8Ybk9OWWYXjc8YrE59LvhtNgY+MdC0yo05c1jzuIlPu4/JmYY7PmYW4pLmYkhzX4d1QiZjlPG6D+VuoWGSW0ogxBDzMCh69/vrrcfOsl8I5U3Ij24SN5p577sgswVFyTJQZPXq0r5dcb1GWtWYQU4Aj8z6I2zRDlD9FGVNw4+OU2XzzzXPWaWYkyVmfmhU9Lm9eAzlzW3/99SMLOcxZh5iRKWJ+tBvENi/ieuZV4O+P8DvAnLg/jN0/Ls+9EvBI92mbLnG55B9//vlnXMdCQjPLNPqgeXb4MZV6/zV6fO3SH1bOhokU8tpA3SiFnAXeY489FhmbdWRxiDkvMMuPHZkrU20m1GStJH8gzA0pZ95LLrlkZDucTTbi1hpOUMj79+8fTT/99DG+vOzNtTmyne/WmlCHjzapkKM0JhceLLBuvPHGtkSo0Qr5sssuG5lHUvy8mHUpMotRZLnb2xLfaidlVjyPFYtmSXsgUE+FnPcYCiT3jFlLIwsHiUEzN+P4uUsaYMzKHR83csockM0yHZ8zxnd/7v7774+PoeCaBTWuY56H8TnjJoqPV6KQ03ZQBC+44IKyLz7jQiENbbAGRFFELPQoZwOBDYsgSYWcuuaCHm+ss5lolvq4TfMs9NXYODOLdnzcXPnj9vjtCGNYfvnl4+NJ5ZoN/OQ7kDVEqGPW+cw6nDfrul9rWDrVeJOFzYtQ1yzhcV3+MJf9+P5gEzR5f5jre1wv+b5JKuS0a9bzyEIUIvMcKLhBLYU8B/aO+tJQl/WkS0yWe4zdsJISEAixyxD42MNfQo3Si+CS8/3333v3K+KL0gQXuADhFmnKVOmNtlhJeyHGI77lllv837PPPrvDTUuEbdVfTPvR9o0QP4cQ40b+epi2lXu6eny7swXcLRFcN+GVwMWQdCmSyhEIJHi2ORo3Qu5gQpdsw6Pyhtu8Jr9fSPi/zaer6VWJwO233+7D8BCzmOaQIe62224+ewEcMsRj46bOGtas3X5tQJw0GVeeeOIJz2xOvLRZgH1bvAtZNyD0EYTQkiRBKa7dhL+FcrhqVyrJdVuYUzltQdYb3MyJez/22GNjolrbRPdZMoiBRpinKbUOd/u0MCd+3xHc01dccUVnGx/+O+7sCOf5ncB9HqHt5ZZbzv9NCFsQyD+DJF3yt9lmGx/DH4Q+eTcihAUUIqpjPYebOp9SJHl/EOufJMskdIH7g7UNLvSsIcO8k22DY4iRV9aLUlDvrDINXSnx8kGRI6amUExLZ8Ff2WxhxERYaDRisQHhBwtAUh6Yi1bbM4jzwxoEYhJi5vfYY4+2j5Ov7G4sv1b4IaYm9xM/mJ3E0F8+Ys1dI3k94ZKAT4N8peby2dwDb5HRQdwWhMUxKRVZ2EqEgBCoHQLJ9FL33Xefg8gqKYHbhHjqDz74wM0222xeKUdZD3HPKJMo5Pwfyg8YMCAmaks+y8ROB6U99EN71KN9+oHsrRJB6Qvx0Mn3c6ltmdt1XNQs03lrPlJVolCG+HjKZynkaa6Q5G9CkrEbjNiQh6MIAjjizDE8jRo1yo+DjXo2SYIkcSRu2zwPcqYGXwkbEayV2VhIcxyxroNzoxxJ3h/0l74/giEn3B9s1CSFMXUH71M5c1TZ7kWgoQo5L5vActi9027t3lEQsT7xAqzlopeXFiyWkJXALMmHlw7kHVm7fa2NYuHRQ8IBaQepQiCsS7N+Fq6pM6UgwG44ixGsAeT8lLQ2An369PEbrDDskq6OhaqkdghAFsRileeG9768y2qHrVoSAgEBlMEg5gLt+BSSZIYbfsPM1dkr0OZi7YkWAykc66ZA6kVbyT7wQizEbI4yCflbpQo5rOFvvvmmHz75xQvJgw8+6C3TEJeRJjFsjCet6oVY35PHefdnCWvJpBTyloIU12Lp/boLLwQ8rWBXD0ouCjvEa0FKxZHNDXBMK+SVrOkqvT/CmBlDpdczC1sdaz8EGqqQtx983TMjWB75SOqDAC5Z3Z3jvT4za45WSWHGR9IeCLDIevHFF9tjMk04CyxwfCRCQAjUD4FkuNRee+3l04GVIlhbYe02IlKv/B1yyCGxoo2im7QcJ/tgQzq4aZfSTzll6JfNAQQr8xtvvJEZ3sIccbPnc+mll3qLMpbc5JhDloxk/2R5QGEOYoStu8PgAAAgAElEQVRomcMrZ/OQVJiBvZyx4waP4OrOZmRSkjjieo67eDmSVtBDXeYeJHg4hO/JPvGYJGVaOVKoz3LaUNn2RqD7M863N76anRAQAkJACAgBISAEhEATI7DSSivFoyNeOHCdcJAUWbiikyIMC3g6LhsFLcjgwYPjv5NxzxzEmygI+amTluWRI0c63MNRPpOx03GFMv4grVhQkoknR0EPsds0gxs3npbJWGzGGhRSQhSDwPXC2IKgqKIAB4WV9GYhnryMIeYVhZ+IFMIIKTPZRECI155xxhlzyievFTgmeX+I4SbfNzheccUVef1wACU/S5IWfSz1SUleOzzBkqnguD+MSb/g/dFVn1nj0LHOREAKeWded81aCAgBISAEhIAQEAJtjQC5sol3LvSBXA2BoA3lEiGGG+X4yiuv9FZbyHOffPJJr+C9//77eTHVhPUFhS0o6yipIWd5ABgenqBc4lXEeWKgsa5b5hr36KOPekt1iM2u9MKgcBKLHVykibledNFFffghyipjOOmkk+Lm4aZIbirwPcRsMx+wwaWc8Bk2JsKGAd5RpXoSlDIXrORIcsMjOa7QBh4JwWJtqdB87m9wvOiii9xOO+3kjKnd45jMK15K/0mCN5TuQOZH3TXWWMPjhyTvD8IT2AB56qmn/P0BoV/S0l5KvyojBEBALuu6D4SAEBACQkAICAEhIATaDgFif5Pxv+kJWvpWfwjlkqwqlq7Mk+Vi9UxznEBCGpjQ0+2gTBKTHQRlLq2YWbosb5WG3NjSXzlLoeo/SUG5gym8WkEBRzFlMwFCMpRcS8OV1yyM5sOHD8+Ls0bRxPIMUzmWfBT8pMA3BHldetMhr4MyDliaNL9ZENzh2SBhYyQtEA0HHHGfHzNmjP8kxdKaeYLRcgTFPhDCkW3owgsv9NZ/WNuT9wfu9C+88ELe/cG9U+j+KGccKtuZCEgh78zrrlkLASEgBISAEBACQqDtEMCKW4hoLD1ZrMFB5pprLjd27FiviFmuax8LjrUZxuzNN9/cpy8r5O68zjrrOFJw4eqMUsffWQJRLplccG3HNdtyfnsWdlzMsdbTTjL2GiWevpFCBGtZ/XAMpZz5QKKKYk2/pFGkTYjfNt54Y99feuOAuliLcd2HURwvA2LJUVLh2MEbgA0HiG+TAokdbQZJYzXffPPF53FRTwvlSasbyJ+Zd9bYqLfkkkt6t3bLs+7j5C0/uickBkewh6QuiSNZnsLY0uzvYRykMsMFHus6PEJgkHRVp202NbLuDzwIaD85ZzYOQp+lpldLY9Lu39mYWmqppXzqOrgMEO5R7k9Iq/GAaBaBKBHvlWWXXbYuQxrPds3+X+LFujTf3o3yIsOthR3NYcOGtfdkNTshIASEgBCIEcAawkIQy0ky768gag4EcHVlsY5y9vjjjzfHoDSKqhCAjRs3ZOK4995776raUmUh0IwIEJsfshqRDx5Lf3cLm0goxnhFJGPnazGuu+66y3McwFsQOA3wdlh55ZVdv379/MZYM8jxxx/vN4vgU6hX2lHFkDfDldYYhIAQEAJCQAgIASEgBISAEBACHYIA3AwIpHhBgqU8eaw74SB044wzzvBEhun887UclxTyWqKptoSAEBACQkAICAEhIASEgBAQAkKgSwSC8o0nU5CgpCePddlInU+++uqr7t///rdbaKGF6ppLvuEKOYyV7DTIU77Od5CaFwJCQAgIASEgBISAEBACQkAINAgB0urBxI/bOTntic0nfR0kg0nB4vzss896F/0klwOM9XAHwBOQFEJVICnca6+9clzn4TY47rjjfHm4Av7xj3/4zADJdH2hHcj4aAOiviyBpZ/zxLHDQwE3wMCBA31R4sc5d/PNN2dVrfpYQxVyYn9grTzwwAPdM888U/Xg1YAQEAJCQAgIASEgBISAEBACQkAIdC8CX375pYO5f8CAAT49HH+jlEMqSP74QNjHKJOWZ4gGETIC0Abs9lNNNZU/hgEXvXHfffd1EKuRhSCk9CN9IGz8Rx99tFfiibmH34WMB6uvvrobNGiQbyMIMekQ96Fwp+XTTz/1mQPYEGA8sP2jt5I2EIHD4rvvvvMpFOshDVXIYZ8MlvFffvmlHvNRm0JACAgBISAEhIAQEAJCQAgIASHQIATQ77CEY/Xeb7/9PAs+DP2jR4/2zPTEYh9++OHxaLpyVw/x47///rtXsvGsJsvBY4895maZZRbfBsz65Ifn/4svvtgr0ijgQ4YM8UZfSOgOPvhgr+QHyYpZD+cC+Wdwlacfsgz06NHDF7nxxhv9d5G6xXDqDyEgBISAEBACQkAICAEhIASEgBBoBgSuvfZan7qMtGAo0GQgCbLddtt5QrSkdTlLOU4SumHFJpvVDTfc4BVr/g+WcdpFuSdt4EEHHeR23nnnHAhIsYdHNm7ngb2dAsEdnlRraeEckiSTwyKOVR7reK9evdJVavpdechrCqcaEwJCQAgIASEgBISAEBACQkAIdA4CV199tZ8sruXp/PF/+9vf8kKVsxTyoBTPNtts3hL9/PPP+5jxU045JQdISNauueYan3v+kEMOyQQZt3fk448/9v+TW/6LL77wuepRsNOSZbHnGJZ/rObpOaXrV/tdCnm1CKq+EBACQkAICAEh0FQIsFBDwv9NNTgNRggIASHQRggQkvzQQw95q/iqq65adGYQsWF5xh0c0jeEUOaXX37ZK75YvEPOc+K+IYAbf/z/i7J+9NFH3R9//OEV5SmmmCKzP5R2JMSiZ20AhIr0Ta51Ng4WWWSRuL2u6mR2WsXBhsaQVzFOVRUCQkAICAEhIASEQEkIYKU54IAD3Omnn15SeRUSAq2GAPG1WP3ef//9gkMnbvfrr7/2ZFQoNY0UXI7pG7fhQoIixxyCFbNQOR1vbgS4flxnCNwmn3zyooNF0eV+xD08WJ6J+0bJxiI95ZRTeov68ssv7xX3e+65J6fNjz76yH+fa665CvYVYsKxiCNZLumh8pgxY9xvv/3mFl10Ua+UB8mymhfssMoTUsirBFDVhYAQEAJCQAgIgeZCgNQ3KOO9e/duroFpNEKgRggcdthhPq6VzaekYBk85phj3IILLugtlsTtTj311F5Rgul66NChmamHeV5gps5ipy51yLBbQ76FVXKyySbzfeOlQszu4MGDHSmxksJ38jtDoBWUn1L7UrnmQSAQdU800USZg2JzdJ999vEEbEiW5TkozGuvvbZDmUa5DynHzjnnnJx2i20uobDD6M54SIGGvPbaa/5/YtnTEtztk/Hj9MGmAGnZsuqk26j2uxTyahFUfSEgBISAEBACQkAICAEh0CAEYLImLzNCjG0QLJVY+Y499lifViopuACjMMNazSet1OAufN999/nPK6+8UtZMUKy33357r/APHz7c4ZIcBMvp008/7XbffXe3zDLL+DjeIFhCt956az+WXXbZxVtIJa2HABsqKK54awRX8zCLu+++25155pnu4YcfdtNPP70/nGV5DhZt7oOg2G+44Ya+Duzm3J9BSHWGwLqOF0hSuJd23XVXb7HH9T24tI8bN84XCy7yoQ73a8gtHhjWOUe6sx9++MHHnLO5VG+RQl5vhNW+EBACQkAICAEhIASEgBCoEQIwS6OIYF1GCQ6C0osLOIJFnHzQJ554osOavsACC8Tlhg0b5i677LIajcZ5Ruurrroqbg/r/B577OEVo6A8cRKSro033jhnM4ANBdyW2QS49NJLazYmNdQ4BNhYWXfddX0c+N577+0Ip0BgON9yyy29l8S5557rrzMu6VieiQlfYokl4kFmMaBPOOGEfqMHueCCC+KyuLIvtthi7vXXX/f3WdgEIPf5+uuv763jPBsnn3xyXCe4xrPhhGCtx5OEZ2ammWbyx5IW8rFjx/pjbDSw0UVe8rqKAdMwMReCyCbjP+av37B+69WRuVX4uWy66ab16kLtCgEhIASEQBMi0LdvX//+N5fQJhydhiQE2g8BI4Dyz5xZhttvcmXMyBSXeC1tbuZxTYvHjkzJic+ZRTCnVVOSIrMAxuf5OylbbbVVfM7SVJU8IrMuxvXC9TErZVzfNg6io48+OqfMnXfemdO+uQT788auHZlls+S+260gWAU96brrrmuK6Zni68dkeb27HI95PkTmneHLmgIemZLu/+7Zs2dkMeBxXXMd98dt0yY+ZptI/phZo/P6MCU7MqXYt2mcBPF5jof7ht9hC4/wbfAMbL755pGFbuS0df7550emlPsypuj7/xmveZJEFmIRWZhTTvkXXnjB/75Tjo9tbuWNrZYHxLJuKEuEgBAQAkJACAgBISAEhECzI2CKRTzEDTbYIP77xx9/zLE8Q6g299xzx+cnmGACZ4qxdynH8jjDDDPUZKq4IwfZbLPNvIU0KVhCsUTeddddDqI33ILT2Q9wTcYN/7333nOmrLv11luvJmNTI41DYLrppvOhCVjF+Z/7De8ILNbJ6401/cYbb3QzzjhjPDhT9v2xrHuSWHLuHe5viNeCcJxY9NGjR3vXdbgTSJe2xhprZOYMxxIOpwjWc9zZyZfev39///fFF1+ckyOdPmBbx00el3u8UUIser0QlUJeA2SJySmF5r8GXakJISAEhIAQaAIEbPfcj4Ifar3/m+CCaAhtj0BIY5SOUW37iScmyPsGhQKZZ5553Oyzzx6fJbcy8bFvv/22P9anTx+v2EKStcoqqziIDvv16+c/tRLY2wMZF20G9+Ks9lGeIJnLEhSjQw891J+6/fbbpZBngdQCx7i+kPrxKSTch4QtJIU48fSx5HmIBrMEd3J+f0v9DWYzKBknTpu0UahvcpmHfOZZ/dfyWPaTUcse2ritQI0PQUWSpKKNp6ypCQEhIASEQAIBc1lzDzzwgDARAkKgQQikycoa1G1TdAMZ1jfffOPHAnlbUoiRxVqN1RzFHcsfZFWBsArFAsVl2223rVn2AZirk+RwxO0WkkLKOOWxpLKmhhwOAi+JEOg0BKSQV3HFjzjiCM8EmE7jUEWTqioEhIAQEAItgADvfUhfLD4u082uBaagIQqBlkIAyylkUV0pfS01oQoG+9JLL8W1kiRt4eA666zj3XtxGyd/c1IgwOIDuRYWwSuuuMJNOumkFYzi/6p8++23OfUDo3W5jaKsw2bNZgvkWZ9++qm36EuEQKcgIIW8iiu98MILu2uuuaaKFlRVCAgBISAEhIAQEAJCoBgCuGRjHU7HHxer107nP/vss3g64JEluPdiuSbNFJsY9957b55yftNNN3krOvHk1Uja6k3askqvj5H2xUPB61QKeTVXRnVbDQGlPWu1K6bxCgEhIASEgBAQAl0iMGrUKDfrrLO6JAFWlxV0Ugi0AAJffvllPErSmhUSFOWVV17ZnXPOOe6NN97waZuuvPJKT1QV5JZbbvEW82oEIq+kWDalgs2Rmzyd+zxZGLKvIMl5FmxQJ4RAGyEghbyNLqamIgSEgBAQAkJACPy//LfkpB06dKjgEAJtgwDM1UFCXuXwHYUblvMVV1zRHXfccTlzhtHaUpm5Rx991CXdypMu8JWARPjAJJNMEleF5LiQkI+acey0007ukUceySuGxT5Iss28gjogBOqIwIcffuguu+wy/wyxoQX7fyOkoS7rlufNx6uQOD5Jd9+IiaoPISAEhIAQEAJCoDMQgGwPCf93xqw1y3ZHwHItx1MMrPPhALHXN9xwg/9K/Phee+3lklZnjqPE41YehPRn1Qj1YXK3nNm+mUGDBrltttnGTTbZZDnNkgZr5MiRnmju8ssv9zwAyy+/fE4ZGNuDFHLHr2asqisEukKA7A377ruv51ZIbg5RZ5lllvEeJnPNNVdXTVR1rqEWcna8XnzxRUe6GMgbJEJACAgBISAEhIAQEAJCQAgUR4AwjCB4gCQF63iI6f788899ujPW28FNHMI0GNgxiiGwmqdTQIX2fvjhBzdu3LiCH1zggxx55JGOPNLIu+++6y30WMpRasgdzSbBuuuu65VxhE2FrPRowU2dcSXnGXekP4RAnRCApJX85Zdeeqm/b3mOSCkYwkIef/xxr5SniRJrOZyGWsgZeK9evWo5frUlBISAEBACQkAICAEhIATaHgFyiwdJx3+Tg/yggw5yJ510ki+Ce3rv3r294o2kMwLtv//+PktEltx6662OTyGBOO6ee+7xp+eee2539dVXuy222MJb39kEWGmllbw1Pu2hgqKDpTFtQf/pp5/cO++849sjnRsZjCRCoFEI4NkBCSKyxx57eHd1vLrZRIK8m2MQSu6www7+uaqHNFwhr8ck1KYQEAJCQAgIASEgBISAEGhnBLAcY7nDEh2s0H/5y1/iKZ9wwgleAUcpDwp4WhHn/IEHHpgXZ14NbhtttJGD4G3gwIE+HSSSVsZnnnlmd8kllziU+bTgPRss+SjzkuZDgOvz3HPPNdXA8ASBnT/JrVDJAM877zxfjfs4/M13NpCCNwfK+GOPPeZefvnluqRelEJeyZVTHSEgBISAEBACQkAICAEh0GAEIEc7/vjjHTnAn3/+ebfEEkvEI8AqfdRRR3nFmJRnKA+4gqNYoLhgfe7Xr1+mZRzSt0Iu7OkpzjLLLOlDboUVVvD9jRkzxm8WwLiOhRHOKNx9cQkuFLNOfHkQYtAlzYfAb7/95hZffPHmG1gNR7T11ltntsYzt8suu8QeIHAg1FqkkNcaUbUnBISAEBACQkAICAEhIATqgACKwSmnnOKVAxTZpEIeuiNOGzbzcqRv376OTzWCtX6VVVbxn3Lkjjvu8MVxyZ9nnnnKqaqydUYgSSRY566atvmkt0c6u0GtBi2FvFZIqh0hIASEgBAQAkJACAgBIVBHBLA4Q+BGbCux24ceeqgbf/yGcjTXdHZY1fkgxMBLmguB+eabz917771+o+Taa69tqsF99dVXPtY7kBlWOjgIED/77DM3ZMgQt8466+Q1c/3118fZCfAyqYdIIa8HqmpTCAgBISAEhIAQEAJCQAjUAYHTTjvNYVV+66233F133ZWpRNSh27o0ecYZZ/h4cxSh/v3716UPNVo9AjDpL7bYYtU31IQtkCKQja3hw4f7dIGQupEyEMb1QOrGsJdbbjm34IIL1mUGrbulVhc41KgQEAJCQAgIASEgBISAEGheBGaYYYaYCRrW8laVL774wt13332eEA6ma4kQ6A4EyD++/PLL+64hdZt++ul9zvFpppnGk7qRKnDqqad2l19+ed2GJ4W8btCqYSEgBISAEBACQkAICAEhUHsEsORB7NZVerLa91rbFlF8UMr5KC1ybbFVa6UjQOYB0vgNGDDAwYPw+++/e++T77//3jcCKeETTzzhlfR6ScNd1r/++mufioEYGIkQEAJCQAgIASEgBISAEBACQkAICIHuQmCSSSbxafkOP/xw77VBlgCs4ssuu6xbcskl6z6shirkv/76q4Mc4N///rd74403XFbahLrPWB0IASEgBISAEBACQkAICAEhIASEgBBIIIBuuvPOOzcck4a6rH/zzTcORjws5O+9917DJ6sOhYAQEAJCQAgIASEgBISAEBACQkAINAsCDbWQ12rSpEc44YQT4ubWWmstt80222Q2D0Meid7/+9//+vP9+vVzO+64Y2ZZHRQCQkAICAEhIASEgBAQAkJACAgBIdAoBFpSIce3/6abbooxeuyxx9zmm2/uJphggjzcXnvtNTd06ND4+GqrrZZXRgeEgBAQAkJACAgBISAEhIAQEAJCQAg0GoGWVMiffPLJHJw+/fRTzzK5ySab5OEHK15Sll566bwyOtBYBD788EPPqFmOwD0A4YJECCQRIPzl8ccfd++++64jJGaKKaZws802m+M5n3zyyVsOrI8//th99tlnftw9e/Z0M800U1PNgeeWMRaSSSed1D+nhcaNp9ILL7zgq4833nhu8cUXL9RU0xz/5JNPPLsqc2f8pEEhF+s888zT7WMEy+D9tdBCCzmYYhG8yHg2kOS78+eff3Zjx471xyeaaKK65VP1HXSzcH8h4f9uHo66FwJCQAgIASFQGIGogWKMdZGNxH/GjBlTcc/G0B63E9qzZO2Z7W233XZxWVugR7Z4ySzXCgdNkY223XbbVhhql2O0VB151y9cx0L/24K4yzZ1sjwE/ve//0XXX399dNlll5VXsUlKWyhKdNJJJ0U801n3zN///vdov/32i4xIsklGXNowDjjggHg+Bx54YGmVGljqjDPOyMQ7fQ169OgR7bLLLpFxhuSMzjYb4vrjjz9+A0deflcPPfRQZKlOCs7XFPLIvK/Kb7iGNZL3/5tvvhm3POuss8bjfuqpp+LjvEfDtbKNq5qM5KWXXor23nvvmrRVy0buvvvuyDZPotNPP72WzaqtbkSA9wr379lnn92No1DXQqB+CLC2Ce/o6667rn4dldEyaynG1Lt37zJqqWi5CDSU1M0uaNXywQcfOCwWaXn00Ufds88+mz7sLRtBllpqKZ9frtWEfHiHHnqom3vuud2QIUNabfgab5Mh8PTTTzuehS222MLhrdCKYoqrO+yww3zGhiwho8OgQYPcpptumnVax+qMAN4KF198sefsCJbaOndZ0+ZJfbLyyit774tCMm7cOB8qRd5S2+AqVKxtj5P/GD6WRRdd1N1///1NN8811ljDk8jyrpAIASEgBISAEGhmBFrOZT3trp4Ed/Dgwe6KK66ID5HQ3awG8fdWdVdncXvKKaf4ebSD+91WW23lbKct57k49thjY+Z9lKj+/fvnnJ9jjjlyvutL5QhcffXV7plnnqm8gW6uiXv6ueee60dhVlZ30EEHuc0228y7ErNZZ1bcmGPijjvucPfcc0/e/dTNUyjYPQosbt8IuS+bWf75z3/6fJ1J+eOPP9xtt93mHnjgAX/4+eefd9dcc43baaed/PfJJpvMHXPMMf5vrl0zysiRI91uu+3mIARFzCPL7bvvvs68sDxPyeuvv+4uuOCCeLPXvEx8eMFxxx3X8OmwKfXbb7/5fs162ND+X3zxxZzf24Z2rs6EgBAQAkJACLQRAi2nkJv7XQz/X//6V2/pg9QNgbzttNNO8wtzBOXdXAbi8pRtJvnuu++8AsH/0047rWOBO/HEE1c8xF9++cXhQfDll1/GcZwzzDBDl+39+OOP7tVXX/WeAwsuuKAzV98uy4eTWCAhzGMxyIKVuN1SZYkllnB8knL++efHCjnxmeaaX7Q5NirChgsKOxiWIj/99JN75ZVX/OKaOYe4S+qyicO8UIqIvcwiCszq4+uvv3ZYzIhbnn/++bv0xCCOkz7wfOCa8ylFiBXFCySMLa3QcC/Bp4BFcqqppnJzzjmnm3DCCUtpuuZlsBg+99xzvv8FFlggBw/OodSAGUrEvPPO2yVe6cGBQVCWllxySXfyySfHRbgXeQ+gLLz11lv+OCSQ6Q0ejifHwTuDcaQxTfed/P7GG2/4Z40+Z5999oJF6efzzz/3sdf8zTM588wzZ865b9++bqWVVvJtFRsL9wP3Ec8w13r66acvOAZO0D/pJgPm1W7u8bxl5epEmV144YX9M4Y88sgjsUJOfPkRRxzhj5fSP/c0GzBTTz110evDfU+fPFc8g/AJlCtcnz322CO+v7gnHnzwQTfddNPFTbGZyAbQDjvsEHssnXrqqX6O6WeZawQnAJ4ovGe4Rlz7YsI7ivcJ71fKc4/xe5cWC2uIf+Nq5f3FO5B7hfcr7zNzf/fvk2rkhx9+cO+//76/V//xj390+byk++GeBUPeI63IC5Gej74LASEgBISAEMhDoFwf92rK1yKG3KzccXyFucpFZgGLv9vkIlucx0M86qij4nO2+MuLZ6xmLtXUNff6iLEz3uSHuFdL3xaZK2DcvC1e88qFOrZo8uXMbTcy18GI+uk2jegnGjVqVN5wbaEXEctti8S4jlmvItvQiM4777z4mFnmc+qa0h/ts88+eX3ZAji666678vop9YCRO8V9MoauhPto/fXXj2wBGtchHtWUmcgW5DlVkzG5RvwXHXLIITljt4V+NGzYsIh57b777jl42CI8Mjb/vKHAVxBwpj+umS2W42NwHNxwww159WwxGu26666RkSnlXKdFFlkkMpfPvPLrrbdeXM6svJFtEMTfN9poo7i8WSQj8E9fe1Pc/ZyYW5B0mfDdlAtfJPnM7LnnnnljAudQh3jgINQPx4cPHx4lr6e5/sblzBU4MmtizlhNsYtMoYmInSpF7rzzzrg+9+9VV10VmWU2pyrXhRhgU94jU+rymjV36sxxcO+lx2EW07g/rh/PkylqOXNgvqYc5/VjlvzIFPC8a8M9Ql/E8ielUAy5eZDEbTDfCy+8MAK3gDnXZYMNNsh5d4R233nnnWiVVVbJGYNtYEWjR4+OzCIfH88af3pCyRhy2zhLn46/83yGsVnayfh4oRhyno1Q3pT5iHhonmfe2+G4KaYR1z4tYMh7PxlPzX1BXDPvpPQ9nq6f/G4u6jk4PfzwwwWLm9Ic8f4I7ZvlPy7L/WhhRpFtCuS0R9m55porstCjzHZ5p5uHUGQbgTn1jCQvM262ljHktvERrb322jnvVcbLe9Y2iSIjg4vHzPsnzDv5P+NJim32+jbT87ENJP/cpoW479CebYxEPA/hHrDN6ij85qXr6XtnIKAY8s64zp08S8WQd+7VZ3e9YVKtQo4SmVQgzRLjF89mnYp/xFnomoXEz2nVVVeNj1v8dcPm2VVHKApJhYzFOuQ6yQULi/ugFBRTyFmMrrDCCpmLo7CwoT+zTsTDou0111yzYJ1evXrF55IKuVmgouWXX75gPZQCc4fuavoFz5WqkHMPcY2zFoMcY1PBmIfjfpIKTpLoKFkfZTrZf/Ic1yW5EKXhpEKeVJKT9VhEJrEwq3jBPqjHovfmm2/OwSepkJvlLWfOFp7hy6KoJw+BwZAAACAASURBVDcmsnBhYRsk6zzHaqmQp8d6wgkn+O7NvbngdWMMpRIWogixWZKcCwu1jTfeOELRNst4PN+sP1CUCuHA8e233z6nWlIh53qnlYvQllnwcpR5Nh/COa7RLLPMknfvJpU4Oi1FIUdhLTR+lLmkoMBkbQhQn3cpil5oq1YKuXkn+OcwtHvWWWfFQypFIWe8ZknOnCNjfvvtt3PmiOJdCA82HsK5cI9n3RPhmLmdx+V5zxQTNhtC+3369ImL89sUjpuXiP+NSt6zvB/MlT+nefNuytskSs+LDcWk1EohNy+tKP3cpvtmQyRsfJWikI8YMSJv8zHdJhtcSUkq5OnxsIkt6WwEpJB39vXvhNlLIe+Eq5w9x+YM4rNf7SwhHjFJEERMOG6dAwcOjIvj4kjcqE03J042HT9OrCOu4nwo2yi5/PLL45g/Yg9xxcMlE1dz3CNx8cXlMrh7Ek8NOVIQ3DxvvPFG/8GNEzI7XEIRXPrMGubnY4tW73KN4PYYYjr5bhZMZwsffw43yIsuusi7EjIGs7L5NrLkzDPPjPsi5Q/Xg7ZNkfSu7rh7mkXWQfZTL8EdNpD62aaCMwXdj/3444/3XfI3JEtZgsukMXM7XMZxZw6pmYIr+MEHH+zrg11wPQ0xsVntcYwUQrZI9teQawaREMI1MA+EmHTsxBNPjEkHSU9EWbC79tprvVs8Lti4/zK2LMHl1RROfy+YRd67zCK4ylIXIa6ae4dwAuKog5hVMf6b+2a11VaLv9vC2t9LyWcoPlnhH4wVHCDGwq2X8UIkB/YIYRncg8wft3bIChFi24n3Lia4PROXnAzvwL3WvBmcMXt7922eJUjdwCMphLEEPgbaueWWW/w4cIM3y6UveuWVV3o39yzhehPbjbs69w3PcBBCP0JKL46Ffnimcbvl/sMV2CzT/rnDpRrSsJC2Kqu/rGPGau1MkfHu8twvPBNBiN9Ovs8gg8RdHrENAWcWXz9fwnxwhWY8lQrPkG16+g/vV64jLtmEnPAcIbg7W6aLsrpgvLxPeK9xb/OOC67KvP/Du4tGCU045/9j7zzAJSuK/t0gIDlnyTkJknMWdslRcs4oYUkCklRyWlYUySJKztmFJWcBFySLSJYkIMgHIsH519vf1+ff03Nm5syduZPur55nnnvnhA7vCdPVVV31i19k5eMOz/sHNjx/PMuNSEg5xzncQ/UkTn0WAiTCN9wXMCddGu9U/nJvISwbsEwjZcVzHUP9LMVgeRb9MEtytnTGIoZXfT/Xa2ut/byHQvs33HBDHwwN9jy3wfWfdy33HmJRd51502RF8i7lPcIzjHA+sUJggbAUg/ue5+Ooo47K3O/57YnjvmQF2j+0h/vHPLZ83AHW8UtEQAREQAREoC8J5Ovpg7O1WQu5DbDLLCHBEsbsvg2us32rrrpqCVc5u2DZBxfPWGwQ5/dhyWlnKjRTFrM22Zp2b0WFC2JKRWbdj9tq64Kzc7CspIK7J6lt4rQ3zLLFdcWu/LF1w9Y9lhWHJTd2KY4t5LHlHKthLCEtAkxT1ml7874XsZDbQD1zX8RKCa9Y4uUMpOJBYoujDXLLjo/drHGhjN2HsSqH+wfX/lhiCzlW7Fiw3sbWPdJWUG68DbfYWOLrZAPjbFdsIbe17hWu1BxI2bgkp9fDFMCs/bh6xhJb73BRj6UVLutY0oKXSiibFFiBpwVhK6szdiveYostyvbV+oJFkbSGsZUwfub5H6sa74cgMevU2hi7wseW5thCzvPH8xhLbIWNXarja471H28Glpcg3Mt5UsRCznMYPGgow5S2snddeC6wZsbvxRtvvLGsSlz6Y16NWshT1vF3rMLcv6RqjKWIhZxyWF4SC8tCQvkWyCzbxf9hO55CsfBsWKyKbH8RC7lFTc+ON8W0rLy8L1j/Q/0sIUC4xmEb7ylTJP3yiZCCL+/awyW4ZuNplHp58FxiTbZYGyWe7SCtspBTnsV0KNkkQckmDrLy8Ypafvnls/5wDwdh6UboJ54jsfB7E/axvCN9HxxzzDHZft69QWILOeezvEsiAoGALOS6F/qdgCzk/X6Fq/evMkqM/Qp2q8QR1rEw2MDUN3XKKaf0KZzOP/98/90GP97qG4sNKsq+Y+kiUA2Rc1sVDCdUwKw+FoJUnn76aWdrK7N2YgEJQeoICkWE5Y022sj/bUQI8kXqGfhg8cOihAUM63+Q2LMAS14QUvvEgtURCyBW71goK7acE+gIC3kQrCdB8tLPlRU2wC9YU+1W9mdj3QzXOxSHhT4IUcSxRMcCo1hC8D+2YdXD+yBIvC9mV1aAfcFKHwvtgimBxRCuOfcY1rEgRHHGUhkk3ge7bbfdNi7S/0+ZeUG+aDP3DhZXU/69xZWyub+D1Gp/RUUt2GATYhXB8OJ7Aksxlv0gBJEK0kj0d7wYsDjiNcD9SOolrI5YTYPXABa5gw46yOGZgsTtwGrdaDuwBBJROxaCtAVLbJyGDW8Tm5zyh2I55MO7xiaf3PDhw72XQ2xhLSu0xhfu1fheILga5YY+E0AL7xn6F3tchGBxoWhbfuIt0XhUDER4f5qbtr+34RzK4X4cPXq091QYqMAoljg4Zcw4fpel/ePZwHrfyD0VBw2L78tq/Yi9gfgdQogkT73cj3jYmNLuPwR1493K+51nnEBtQXiXhncb91eaVYIsFIMt/KbCHc8Efkt4j/D7FN8fRd8lPI9BzK2/4n1AurTQJzwtCEZJsLdYuDfT3+3BZqDyRUAEREAERKATBHpKIY8jrOMiGStQRMaNFTRSoAVBYSXqbiwo7KnSnl4AIt2i6Nga7HRXze8Mgol4ngoKI9GeUSAYjDAICYLLM4N3PgzazGroJxqKCC6buGzjthuEQSEDnFBHPICPB1h5kYgZzKcSK/fsC+7H6XF8jxXMvP0D3Ra3gcEyruLVJK8NMIkljiifcig6ScMgNpU42jXKQ8oO98tqktdujg3u9el5TJLgpo07aBjQ81zgfo1bNVK0L2nZ6eAb5SKe9EiPD9/z2horLmHJRd751fqfHgtTXJtxu+b5xg0/uOJzz+OCz9IVhMkR3g08A3E7LPCe45Mn1doRK2zhPBStIOEa8J1lA/BCEQ+uuyjNYSLO1tZ7N1zckBuR9D7mXNqQvnPi55z3GJNFsXCf8I4ZqEKO4s0EIMJ9yLsN5Yp3mVmr/TKZ9L1btJ8p52rv4Ljtee/LvHdZrTbE2SJwz+aeZ0lJNYkneGIlmskx7kGWEISJEp4nnlM+vAPICMLvFsIkSpD0XVSt7lZup59EbGeZScyU6PKwD++wvEnBvHaQQSFIPPEQtvHbxP0Xnhd+u1KFnPOK1pfXBm0TAREQAREQgV4h0DMKOYNs1jgHSWfOsYZimcM6jsSKAym24pQxWK/DulWLsO0H8lgoLBKxHySwvpV1biGdGtYMBtWUiVUurBHEAhaEdZIoAAxSGcDkDSDD4IK1wqytxVJqbn/eEoGFKQzcqJf1eSHXcq2bifZb1HN/CFZd1iGuv/76Ps83a6JZ943EShkKU2AZ1g3GdWBZSyXkRg7bsUymA/ywr176pbTsot/jNjBYw+pUTcL6+Xh/LcW01r5qdbA9bw1urMyhJMTt5v5isB7fj3H5eYNX9ufdT9wvXGvSIyGs22bdJtY5lIigoNTqW6xAxu3g/1hJ4Huq8KXHh+95bY2VSNafpjEdwrnxJFu18lF8grcGz4hFgy87lIE9E15BIUfBQBHn+YjbYe7hjrW6eVKtHXnKWbVj8TZh0o/JK3MX9+8mnvXwfHH9UNqxmPLuKSp5qezy2hCn1wrpt+L7i+tZbeKhaFvCcXgroZyTWpJymSzBGwivlrwJhHrlp5zz+kcZ8eRP0XdZrbrj68D9z7NabQ089yBW8CDxuXgt4GVEvAuuPded6x/W83NP8t5mEgN2sRKed01QWEPcgVrtH+g+fu/CWnw8G5jk433COnreJyEGSa13SVx3/BsQTzyHY+ASv3vitHLhmLz3SCP9Y/09E/PE3hjoxFAj9elYERABERABERgogZ4J6vbII4+U9TFVyNkZrA0pjPRYymLGHytrcGPG1TdsQ8lhUMJfBg0EvGHgxYBoDnNH57gQ3Ia6UKxR2CmPnMi4bzPgSj9YX3CfxGLHIJ3BKwoz2xiExTl9GcgGiQentCcOVMWAMQh1o4gwAcHAKQz+2B8PfmJllYA6YSKA43CxxoKTCgOm2ILBQJiBTvgwoGTQzACumrKVltnod0sPlp2CBYZAQXEbmChhkgCX3iIBmRqtP+/41MJKG2J3TdrMPRMG3FwHJm3idmOp53oRlC/Nzx7qzFPCsM4FZZzgUXhV2BpYr3jGwalSpTueDEit4LHXQOqyGwIN5nGIt+W1Nb523M9x/xkso8TRhzjgXLV64ueZ5ye2xoVz4sBfKMbBUhq3g3bmtYPrVaQd1drHdoKacR9gmef9YZHbfXAurMcsJ4jbET/rtcpsdB8u5fEzmy7xYDKjiMdD0Xq5f22Nc3Y41nKCPA6mxO8yJifxagqCQnbZZZc1VD3vDjyUgqA0h4nZuCDKtngHWUA+LPpBcWfCl98LlEEmXJkkpW08k7iChyUPvHdZXoHwOxQmHVC+4+VZ7MeTggk2JlSqBUGL29fo//HvCP+zzCO8Q6u9S+LfpfQ9Ev8GcP+ngQt5FoJQT94kbt57pJF+8W7g9zBMWDdyro4VAREQAREQgXYSaKtCHv/ANvpjGw9QUF7SNYZAsyBC3oU1lVRBDGVhacOSgYRtDDIYRDHoCRFx2R/c+IJFLaxdZHuIcsy6OKwJ1QQLOZF/We9uQW38oCdYHVHYYktS7DqZWqdRvFA4GHzG7rKsHQ8DbCYJLDBS1pRYubJAbtngj8kAFFsG6wxe8DKIFfS4L7GlCKtkYIASjyKIcmPBx6pGqK7Gpeh2FLawTpQBIGsTGRgjuEFb4Cy/phvFIERiL1r2QI9jsE7Ea9YQ4yKOhToMYFECaQ/3K20LwsSLBeDzX+HP/bDZZpv5qPh5g3+Oy7MQxtceDkE551oTXTsIkwTBZZpt8f2EUk8bmJBCQnR5/ud+CttRxuNo3qHsvL95bY37jyKI1ZB7Fcs1UfG5t5igiiM355XNNp6h4G2CpwfKLe7fTHQR3ZrMBHE5eLiE4+N2jBo1ylvRaQdKEM8F7eAZ5/lsRliqwDpxrjUKgeWdzibFUD5iS2P8rDdTZ965ccYBS+nl71Xea7yrLCBa3ilNbWPiAf5BiIaPMjpYwrMTPHV47lZYYQWvCON5wORWulykSDs4PzwjWMl5J7LeH28HFEmU45BlIpSHt06Y9OFdwIQOkxG4rfN7EgRlPHbDDtee7VjLg/AeITsC7wmijAeFmT4Sk6LVEr9LQtYOngtYWLC/rLr4dyR+jzChzPuC5xrhPgjXhfN5D1Iu7xHuQ57XINXuw2bd1UP8hGqZK1rNUOWJgAiIgAiIwIAJmPWsrWJBlEq2Vq3hyOZxZGvy8FYTSy+VRW81KP7/NKot+WLZTg7ZICGCuA2Esm1Eww5lmLLlt9vAyG+zNbr+e8itbJaosmjOWSHJP0RDN+U7K5cI2OSojaPlsv+FF14oO9OsdhX9MkWqZIPdsu1EuA59IWdvaL8NXMvKMxfFivI41qwwJaK/h/O4XkGI5p7mQLZJhLJyGomSHTeoSJR1jicneIi0GtqYtoFo/EHiqNXmwl/GII70S+TxWGxNftYvIoTHEt+L8ArtiP+aUloyBTE7zRTPkg3iy45N251GgY6jrJPTOhUiF8d50M3Fs0Q09hBZO77+RGIPYsphRZtNGfC7idBtikXZfiJm0ze2c3+FfhIZOkgcsT6O6B+32ZTTsnLNGl8ya322jWfKrIvxKVX/J/p/Hvd0G3zSMsksEB+XtsOWs/iI00HiKOum/Fe0yVyVs/LiKPm2NrysHvNcKPEcB560gQjWcQTqIlHWTcmraEO45pRpVvhsv034lUxJzWXFcx6/ixqNsm7W5Ip2sMGUYJ9zPTDmeQ3vYO6ZsN0Urux83i3xNaHdscTPKhkQYuF+5nlLr71NrpZsAi/bnj5fuY3/v43mJVTieqVlpt+5f80SW1FUeq+TuYK82jYRk5VpSn7ZeRbssGr+9VAvOddjaVWUdTIOxH3jGQjZNuL3iK17z6rnOvPOSZmQaQIx76ES1yDdH39PM1jEUdb5TWhGbELE180zJukPAoqy3h/XUb2oTsAMYtk7E32jGyRkUbKlsN3QnL5tQ1st5Pbj6CzlkQ9mU3QtGucQcCaO6J1avDkmCBapeO0Z6/NidzisvyEQTygH62JYk0oO1iDBao6rYAjYEyzkuJ4y8x/yPWNJyAsqFLeN/zkfSwFWaSwAWMgpC4sa37GwY2lIoy/j4h6v2eZYXHWxRhEUKljXcZcnijXbcYUNboVY1ONgPVgpcCXEVRJvBawdeBgQcCp2A41ZcgxRrFlfGNoS8g3jJo1VsVEX0ZRPve+4N2JFxuISXK9DG1hmgEWunflqcdHFGhRbc3DnJw5ByBVOn3AfZg0pxwa38NBu7k+WG6QuxfVYcG3xgggutljBsUBxLbAWx0sg4qj5WOMJuhVLsCRi5cNqHAeoYokEx7MONs8DpV47w34CFuJGGlx2uR9xZeX+wyJI+XF0+1rlEh8BT5F0OUo4B6Z4oHCvpGUSVJHnNkTujtuB1wXtyAvWV6s9eftYo45lM0Qb53nl2YQnzxIeB+Rdj11/88ppZhv3Gu7TeEzgYYL3AvxpG5bb2FOp2TW7oZ28B3kOwzse7wPeGYMlXDM8grhH6QMfPGl43uKlB430j/N5loh3EEd4D33g/WfpI713CcekgjWdez0sGcCyzRp3fn+4t/DgCDm7w7lcH8rj+UxjTNAG7tlacTPSNjTyHe8o7sdQL94+WMPpW7B6U178HuE6k/c9biv3cvBawqWfPOasRU/vcZ4Jfn/iHPKNtFfHioAIiIAIiEA/EfBJrfupQ/X6QvA0Ap4hKPkopAw4UEYZrDKYCAN4lFpcoXE9ZeCMgAs3dwaZuGczaGPgka4lrtcO9qOQoUCz1huFmsjYtSLsojiw/pQBfexuT1ko9rg34saO0lpLoSAQGZMcrEfMWzpAMCaiAyMMGi0HcEV3UP4YtOFyzACfddF5ZVWcWGUDillwt2eAV8RdEXdS2oD7Oooi7tZFzqvShMKbSRfFpAlCICt44bJJWxik4jJfqx1cxzDgZcCO22o6YC3cGDuQe5L7iGBh3Jtc/zy38bRM7gMmorhXOCeeJKNM89Lw6fu4ts0o4mm9lE3/YQYv+p9G1U7PqfUdxYHyeJ5QQIl3wPNRj0HaDvo5kABktdoW9tFXllHQVtpHUMm8a47CFpaMcD0ambjMawfXEMYodCkPnjeUVN4FCM8yE0eDLSEGBu3JY9BI/Uxy0G6e/TyFm4kbJoARXKPNg6qR4rNjeU54T8OK34dq1y8tHMacF+KK8K7k3qx3XbmXeddTH4p6tYjj7A8/4fH7N94O43DtOTZc7zz+TMyx9p92EyiV+Av1hMlk2so7j/dI3jPEfc/EM79P9CWkLK1XdjP7iSlz1lln+Um7sPSmmfJ0bucJ8Owx9mK5kXmLdL5BaoEItJgA797w+8CEPsuyOi0YN8zz1OtOgxXzptN97Ib6eybKeqtgBas3Aw0UaiRsY9Y+tqaF7axtDcIghrWJ5NlFGUeZKRINPa/9DFywRudFBM87HmWDoEN5Qn/iQFF5x4RtWLEZqNIXBuoEcQsWeQaP8Xp9c1HPLYrBb7V9uSfU2ZhahOoc7nczeVEtSnaR81t5DBbZvMBEeXVwHYteq7zz021cRxSSeP13ekzedyz5eSnKOJYyi96XeWXX2kbZ3G+pF0itc2rtQ+GMn9Fax8b7Wt2OWvUWvT9aoYTH7cBLgskjlDUY8ayHZw2vmaCcce+0Qxmnbc1M3KWM6RsTYggTHazxDmuxUf5CdHD2N/O+QoEciBKJksqkW5rSK+1H+p3fhiL3dLUJjWrbuedr8eceaPSdymRaLa81+sYzGibC077quwiIgAiIgAgMdQJtd1nvNPAQrT1OhRa2xe6vpGoJaXRSt9h4wMJMbVFFrNN9D/VvsMEG3jKFtQRXSljg7km/5rAI0yE6O/1uZhDbLf1VO0RgqBLA/RnBKs1SGZ7vNdZYw0+2xMtzBtOlfDDZWzyQzBsI7yY8nQjsxjIOlOCw1ImJJ957EhEQAREQAREQARHoNgJDzkJOrljSLMUWStYCYlUhmm4QLEcWOMp/TRVyXNmxSGMZYO1rrwluhawxJuIyLp9YkkJk3dAXFPQ4FU6v9VHtFQERcD5HO+7SePGwLAS3+TgDAdZy3gN4zPSiYHkl5gHryHGJZuIhTZHJ5ANeQXFKv17sq9osAiIgAiIgAiLQnwSGnEKetx46L3856/aqDVIbcTPv1tsGyxl51hm84gnAGlfWruCCj6tkcOfv1vZ3sl2k1gr5jgfixtrJtqvuoUUAF3iCi1kUbR+wEe8X4gKwHWs5E295Qct6iRIWceJnEBCNtd5YyolxgbJOjBDeZ7hqS0RABERABERABESgGwkMOYW8Gy9Cp9pE7llcPiWNESCgk0QEeokAwf6YgOtXYYKBdcz11jL3a//VLxEQAREQAREQgd4lMOTWkPfupVLLRUAEREAEREAEREAEREAEREAE+omAFPJ+uprqiwiIgAiIgAiIgAiIgAiIgAiIQM8QaKtCTlTvnXfe2btOkjdbIgIiIAIiIAIiIAIiIAIiIAIiIAJDlUBb15ATUIg8sQjJ5VdeeeWhyl39FgEREAEREAEREAEREAEREAERGOIE2moh/+abbzLc8f9D/Bqo+yIgAiIgAiIgAiIgAiIgAiIgAkOQQFst5DHfW265xaeqGYiQO3e99dZzM8wwQ93TP/roI5+nlvy0zcgiiyziSK9TRG699dayXL9FzkmPmWyyyRypySaYYIJ0V8X3v/zlL+7+++93LAkYqIw77rhujTXWcHPNNVfdIv7973+7a6+9tullB6RdWnvttevWxwH33Xefo5/NCFHlN9lkE58/vp689dZb7vbbb3fNThyRw75ICjnque6669w///nPek2ruX/aaad1G2+8seN61pOxY8e6J554ot5hNffzLK677rqFUmfRtxtvvLHnnsVJJ53UP4vcP/WEdxr3arPP4uqrr+6KpNRr1bNImsdhw4bV657fz7vmxRdfLHRstYNgyX06xRRTVDsk207edJ5F8qg3I0RgX3TRResWwbN4/fXXO347mpFGnsUnn3zSp21rRngW11lnHTfTTDPVLebjjz92N9xwQ9PP4sILL+xWXHHFuvVxwG233eZ4rzYjjTyLzTyDzbRR5w4+AdK1TjTRRINfkWoQgTYT0HurzcC7qTq7+G0T+zFGY2zJx5SAQu3edtttW1KfpdUp2cCwbp1jxoxpSX1wOvnkk+vWxwGzzDJLS+pccMEFC9V35JFHtqQ++mi5kevWaUpOyfIIt6TOvfbaq259HLDSSiu1pD6bWCl99dVXdeu88MILW1IfTK+44oq69Vke9dKEE07YkjqHDx9etz4O2H777VtSH88i75J6ctddd7WkPpieeOKJ9arz+2ebbbaW1Gmp9QrVd/TRR7ekPvpog9y6db788sslm+xpSZ177LFH3fo4wHKlt6Q+U+ZKNjFbt86LLrqoJfXB9LLLLqtb32effVYy5aIlddoEZ936OGDHHXdsSX08i2+88UbdOu+5556W1AfT448/vm59HGATvr5Om0gvdLwO6n4C00wzTcvuI+4NfcSgm++BIr8f7XhqDzzwQP+sLLHEEu2obsjWUd+MZlehVTLjjDM6LD+mXDVVJNYVG6QVKoPZ+1bMpC655JJuqqmmqlvnPPPM47D8NivURZ1FBKbk4W1GsK4UzUm+zDLLFLIy12vPvPPO60yBqXeY94QoYtmqV9Akk0zisFgXkVVXXdWNP/74RQ6tegxWau5T2NYT+jf99NPXO6zu/plnntkttNBCdY/jmeDZ6MVn0X4U3NRTT123j1iY55xzzrrH1TtgyimndEsttVS9w/z+Vj2LlFNEll566UJW5npl8SxiJa8n3KOteBYnnnjiwh5HrXoWiVlS5JnGo6WI91U9VliqsSDXE5sYa8mziDdVI7+LXINmZfHFF3emJNUtBs+rTjyLvPPxbpGIgAiIQC8R4H1Z1Cu3l/qltlYnMA5TEdV3a48IiIAIiIAIiIAIiIAIiIAIiMBQI3DQQQe5kSNHOowhBOSWDA6BtlrIB6cLKlUEREAEREAEREAEREAEREAEREAEeo+AFPLeu2ZqsQiIgAiIgAiIgAiIgAiIgAiIQB8QkELeBxdRXRABERABERABERABERABERABEeg9AlLIe++aqcUiIAIiIAIiIAIiIAIiIAIiIAJ9QEAKeR9cRHVBBERABERABERABERABERABESg9whIIe+9a6YWi4AIiIAIiIAIiIAIiIAIiIAI9AEBKeR9cBHVBREQAREQAREQAREQAREQAREQgd4jIIW8966ZWiwCIiACIiACIiACIiACIiACItAHBKSQ98FFVBdEQAREQAREQAREQAREQAREQAR6j4AU8t67ZmqxCIiACIiACIiACIiACIiACIhAHxCQQt4HF1FdEAEREAEREAEREAEREAEREAER6D0CUsh775qpxSIgAiIgAiIgAiIgAiIgAiIgAn1AQAp5H1xEdUEEREAEREAEREAEREAEREAERKD3CEgh771rphaLgAiIgAiIgAiIgAiIgAiIgAj0AQEp5H1wEdUFERABERABERABERABERABERCB3iMghbz3rplaLAIiIAIiIAIiIAIiIAIiIAIi0AcEpJD3wUVUF0RABERABERABERABERABERABHqPgBTy3rtmarEIiIAIiIAIZdZPGgAAIABJREFUiIAIiIAIiIAIiEAfEJBC3gcXUV0QAREQAREQAREQAREQAREQARHoPQJSyHvvmqnFIiACIiACIiACIiACIiACIiACfUBACnkfXER1QQREQAREQAREQAREQAREQAREoPcISCHvvWumFouACIiACIiACIiACIiACIiACPQBASnkfXAR1QUREAEREAEREAEREAEREAEREIHeIyCFvPeumVosAiIgAiIgAiIgAiIgAiIgAiLQBwSkkPfBRVQXREAEREAEREAEREAEREAEREAEeo+AFPLeu2ZqsQiIgAiIgAiIgAiIgAiIgAiIQB8QkELeBxdRXRABERABERABERABERABERABEeg9AlLIe++aqcUiIAIiIAIiIAIiIAIiIAIiIAJ9QEAKeR9cRHVBBERABERABERABERABERABESg9whIIe+9a6YWi4AIiIAIiIAIiIAIiIAIiIAI9AEBKeR9cBHVBREQAREQAREQAREQAREQAREQgd4jMF67m3zfffe5Rx99tN3Vqj4REAEREAEREAEREAEREAEREIGCBB5//PGCR+qwZgi0VSH/5JNP3FprreW++uqrZtqsc0VABERABERABERABERABERABNpAYNxx5VQ9mJjbqpB/+umnmTI+2WSTufHGa2v1g8lRZYuACIiACIiACIiACIiACIhAXxGYYIIJ3I477thXfeq2znRMI77pppvcaqut1m081B4REAEREAEREAEREAEREAEREAERaAsB+R+0BbMqEQEREAEREAEREAEREAEREAEREIFyAlLIdUeIgAiIgAiIgAiIgAiIgAiIgAiIQAcISCHvAHRVKQIiIAIiIAIiIAIiIAIiIAIiIAJSyHUPiIAIiIAIiIAIiIAIiIAIiIAIiEAHCEgh7wB0VSkCIiACIiACIiACIiACIiACIiACUsh1D4iACIiACIiACIiACIiACIiACIhABwhIIe8AdFUpAiIgAiIgAiIgAiIgAiIgAiIgAlLIdQ+IgAiIgAiIgAiIgAiIgAiIgAiIQAcISCHvAHRVKQIiIAIiIAIiIAIiIAIiIAIiIAJSyHUPiIAIiIAIiIAIiIAIiIAIiIAIiEAHCEgh7wB0VSkCIiACIiACIiACIiACIiACIiACUsh1D4iACIiACIiACIiACIiACIiACIhABwhIIe8AdFUpAiIgAiIgAiIgAiIgAiIgAiIgAlLIdQ+IgAiIgAiIgAiIgAiIgAiIgAiIQAcISCHvAHRVKQIiIAIiIAIiIAIiIAIiIAIiIAJSyHUPiIAIiIAIiIAIiIAIiIAIiIAIiEAHCEgh7wB0VSkCIiACIiACIiACIiACIiACIiACUsh1D4iACIiACIiACIiACIiACIiACIhABwhIIe8AdFUpAiIgAiIgAiIgAiIgAiIgAiIgAlLIdQ+IgAiIgAiIgAiIgAiIgAiIgAiIQAcISCHvAHRVKQIiIAIiIAIiIAIiIAIiIAIiIAJSyHUPiIAIiIAIiIAIiIAIiIAIiIAIiEAHCEgh7wB0VSkCIiACIiACIiACIiACIiACIiAC4wmBCIiACIiACIiACHQrgf/5n/9xX331VUPN+9a3vuUmn3zyhs7RwSIgAiIgAiLQCQJSyDtBXXWKgAiIgAiIgAgUIrD00ku7F198sdCx4aC1117b3X777Q2do4NFQAREQAREoBME5LLeCeqqUwREQAREQAREoC6Bjz/+2L300kt1j0sPWH755dNN+i4CIiACIiACXUlAFvKuvCxqlAiIgAiIgAiIwB//+Ef33//+14MYMWKE23fffQtBmW666Qodp4NEQAREQAREoNMEpJB3+gqofhEQAREQAREQgVwCjzzySLYdN/S55por9zhtFAEREAEREIFeJSCX9V69cmq3CIiACIiACPQ5gaCQjzPOOG6ZZZbp896qeyIgAiIgAkORgBTyoXjV1WcREAEREAER6HICpVLJPf74476V8803n5tmmmm6vMVqngiIgAiIgAg0TkAu640z67kznnzyyWxQU6/xs88+uxs2bFi9w/z+P/3pT/7TjEw44YRuww03dFNOOWXdYj744AN36623uv/85z91j612QLCyLLbYYtUOybYzGKS+t99+u+6xtQ6Ydtpp3UYbbeRIw1NPiCT84IMPZmsm6x2ft3/88cf313DmmWfO21227bPPPnM33HCD428zsvDCC7sVV1yxUBH33nvvgII0xYVPNtlkbuONN3YTTTRR3TrffPNNN2bMGPf111/XPbbaAVy7VVZZxc0777zVDsm2k57pxhtvdB999FHdY2sdMNtss7nhw4fXOiTbN3bsWPfEE08UOrbaQTyLG2ywgZtqqqmqHaLtItBWAi+88IL75z//6etcbrnl2lq3KhMBERABERCBthEwpaNtYgPjknXMf+6555621TuUK/rHP/5RmmCCCTLugX+tv3fccUddZO+++27JFL+Gyq1W57bbblu3Pg4wxb0l9ZniUfrXv/5Vt85rr722JfXR73PPPbdufd98803JJiZaUucKK6xQtz4O2H///VtSn010lGwyoW6dpji2pD6Y/uQnP6lbHwfY5EtL6pxpppkK1Tdy5MiW1EcfR48eXbfO999/v2XP4tZbb123Ph0gAu0icMEFF2TP0tlnn92ualWPCIiACIiACLSVgCzkNurtZ8FK9+WXXxbuIlbVIkFzpphiCvfd737XYZlrRmyyoPC6wGWXXdb94Q9/cFggm5Ell1yykGUVF8npp5/emcLTTHXe4rjIIovULWPcccd1pki72267re6xtQ7AmlvUmrTUUks5LKNffPFFrSLr7gus6h0Y7q9XXnml3qE190888cRuiSWWqHlM2En6o2effdbZhEeh4/MOwrOiqAcA3heTTz65s0mfvKIKb4PV3HPPXfd46lp00UWb9lbBs0JrdOvi1gFtJECE9SD333+/e+211wrVfthhhxXyuipUmA4SAREQAREQgUEmMA7q/yDXkRX/1ltvuVlnndV/Nwu5W2211dpV9ZCth/yt888/v+8/gxsNuIfsraCOi4AIiEBPEWDSl8m0RoTlTx9++KFjglMiAiIgAiIgAr1AQBbyXrhKaqMIiIAIiIAIDCECeJg8//zzvsezzDKLw9OliCywwAKFlXFbluRsKYr3TBpMwe6Bh85442nINZicVbYIiIAI9CoB/Tr06pVTu0VABERABESgTwng0fXf//7X926HHXZwxx9/fEt7+vrrr7vNN9/cHXrooYOqkNOPgw8+2FlsFinkLb2CKkwEREAE+oeAfLr651qqJyIgAiLQUgLvvfeeO/zwwx2ZGiQi0E4Cjz76aFZd0ZgYjbQv5DcfjLLjdmy55ZY+jkuRjBCNtF/HioAIiIAI9A8BKeT9cy3VExEQARFoKYFRo0a5k046yR144IEtLVeFiUA9ArFCPhixT9qhkL/zzjsOS3xRd/t6TLRfBERABESgPwlIIe/P65r1auqpp3ZETybAzXTTTdfnvVX3REAEWkng888/98WFv60sW2WJQDUCrLl+7LHH/O555pnHzTDDDNUOrbv9k08+cQcddJD7zne+463U6667riPALK7ks88+u5txxhl9GdRpadbc0ksv7Y+bZppp3Jprrunuu+++ijr23HNPt9Zaa1VsP/300x2ZKyzdqLO0jG711Vf3x1x33XVu5ZVXzlzwK07UBhEQAREQgSFNQAp5n1/+aaed1j300EN+UDHnnHP2eW/VPREQAREQgV4nQHaQDz74wHejGZdyoq2vtNJK7pxzznF77LGHu/DCC/067vXWW88vwwiWa5TxnXfe2R9DZPebbrrJnX/++e7jjz923//+990DDzyQIWVd+5VXXuknulO54YYb3Ntvv+0nv1HsCRiH7L///m6//fYrHGwuLVffRUAEREAE+puAgrr19/X1vWNgIBEBERABERCBXiDQqvXjI0aM8JHa7733Xm+hRljTvfjii/t13UHZR/m++OKL3YknnujIYR6Ec+aee2537LHH+qBsCOVhdU8nCr766is3duxYN3z4cH/cJpts4kaOHOmmn356b6GXiIAIiIAIiEA1ArKQVyOj7SIgAiIgAiIgAm0nECvkA11//cYbb7jLLrvMbbHFFpkyTke+9a1vZVHVUaqxjhPBnXRpP/7xj8v6iqUb5f2pp57Ktoe2pQo5x7C0I2wPCvpgp1Rr+8VRhSIgAiIgAi0nIIW85UhVoAiIgAiIgAiIwEAJBKV34okndosuuuiAirn11lv9mu2tt9664nwU5wknnNAr21i8Ud7XX3/9XJfyTz/91NGOILSNmCxpoLkHH3zQH7Lsssv6v3/+85/LFPSsAP0jAiIgAiIgAgkBuazrlhABERABERABEegKAt98841bcMEF3bzzzuvdxVnzPRBByUYWWWSRitMJ6LbEEku4CSaYwCvjyHzzzVdx3GeffeZeeOEFt+qqq2b7OBdr+pRTTll2/OjRo/26coK6ISGK+0At/BWN0QYREAEREIG+JTCwX7q+xaGOiYAIiIAIiIAIdIoALuW4mjcrk0wyiS+CwG5zzTVXVhyKM0HjsIgjKOUIlvBUWFv+xRdf+HXnyNdff+3P3XzzzcsOJSL8nXfe6S3uwZqO4k5fllxyybRYfRcBERABERCBMgJyWdcNIQIiIAIiIAIi0FcEiJaOkHIsCNbu3Xff3X8Na71xPZ988sndRRdd5P79739nxxIIjtRlWLy33357v5284gSDm3TSSbPjnn76abfjjjt69/h4XTku66RVCxMD2Qn6RwREQAREQAQSAlLIdUuIgAiIgAiIgAj0FQFSm+FqfvLJJ7u1117bbbrppm6NNdbI1qQH5XmyySZz5513nvvrX//qU57ttddePlc5Oci/973vuRtvvDFzm5955pm9uzrKO1ZyjqMe8pIjsUKOcv/aa6+5VVZZxV111VV9xVadEQEREAERaC0Buay3lqdKEwEREAEREAER6DAB1p7jRo6yjfs4yvQZZ5zh/vKXv/jc4rPOOmvWwpAK7fe//73729/+5tev//CHP/QKNwHcguCCjuX8zDPPdK+//roP7Pa73/3O/eMf/3AnnXSSLzfILbfc4i644AJvUWe9ukQEREAEREAEqhEYx1J+lKrtbPX2t956K/sRvOeee9xqq63W6ipUXg6B//mf//HudLjlSURABESgKIH999/fKx8oHig1EhEQAREQAREQAREQgdYSkMt6a3l2XWko48z2zzHHHH4WXyICIiACIiACIiACIiACIiACItAdBKSQd8d1GLRWvP322+7dd991//znP92rr746aPWoYBEQAREQAREQAREQAREQAREQgcYISCFvjJeOFgEREAEREAERGCQC//nPf3wgtHXWWccvtZKIgAiIgAiIQL8TUFC3fr/C6p8IiIAIiIAI9AABIpMPGzbMPfDAA761m222mbv66quzKOc90AU1sU8IcC+Sgx6ZcMIJ3UQTTdRwz7755hv3r3/9y5/37W9/O8tR33BBLTrh008/dV9//bUbZ5xx3JRTTtmiUnujGCb3Pvnkk665Fs1S4zpyPRHuTe5RSW8TkELe29dPrRcBERABERCBnifA4HLDDTfMlHE6dMMNN3ilnLRhKDQS53784x+7J598csAoCNB4/PHHD/j8Tp9IlPx99tkna8a0007rLr/88pY3i1R2RN1HLr74YrfDDjs0XMdxxx3nfvrTn/rzLrnkErftttv6/++66y53yimnZOURnf+QQw7Jvg/GPy+99JJP48dEA2kAb7/99txqfv3rX7vrr78+d1+tjSj5pAgcyMRFrXJbtQ+FfLHFFnNvvvmmm2222dxzzz3nJp100lYV3/ZyeF+SKeKzzz5zSy+9tHvkkUccWSAGW+DIexpPpiA8JzPOOONgV93y8smoQZaMxx9/3H3wwQdummmmcUsuuaR/1uebb76W11e3QKKst0vsQSCiu/9YlPV2VTuk67Efr4y5RUke0izUeREQgcYI2KDRvz8sh3NjJ+poEWiAwIcfflgyRTH7rQrjhPDXFJaSBShtoMT+PNQGwyUbNFbllHLL+37kkUf2NJxzzjmnrP8bbLDBoPTHlLasHssn33AdL7zwQsmslr4MS7lXMgUmK8OUgLI+bLfddg2X38gJZqkvrbzyylmdt956a9XTV1pppQHdXwsssEDVMrtlxwknnJD1bcSIEd3SrAG3Y6+99sr6M3LkyAGX08iJzz77bNn9MfXUU5d4L/WawGuCCSbIvdfHH3/80oknntj2LmkNub0tJSIgAiIgApUEDjzwQHfHHXe43/zmN5U7tUUEWkDgvffec2ussYZ77LHHfGnbb799VmqwSpJPfPXVV3cfffRRC2rs3SKwctrkRVMdWHbZZZs6v9MnP/roo2VNWH755VvepJdfftm98cYbvtx55pnHzT777A3Xseuuu2Yu7+S0t8F/w2W06oQLLrgg8zzB8jd8+PDcor/66is3duzY3H31Nq6wwgr1Dun4/j322COz4P/yl7/M3jkdb9gAG7Dvvvv65QfIUUcd5WziaIAlFT8tff6WW265rA3FS2ndkbjuk02qEcHjhbHNl19+mXsaz8Hhhx/uzjrrrNz9g7VRLuuDRVblioAIiECPE8AFbq211urxXqj53UoApYf7C0UTwb2XNeTBVdisuW766ad3p512mncrxLUXV9vpppuuW7s0qO3CPRWlIhUG4kycBeG5RSHMk8FQYPPqGaxtqUIwGP0xD86s+UwENSqjR492Dz/8sD+Ntb24v3dKUDpwnQ+CEjfuuPm2uKefftp9/vnnZU3dbbfdqh4fH/iDH/ygU10sXC8uySwbYIKC9f1HHHGEGzNmTOHzu+3AhRZayL8T6QPvBq4zfRtMacfzV6T977zzjnc3Z4nFueeeW3WSKS2LSV2U8Vi22WYbv4zjvvvucxdddFG2C6XcvAPdTDPNlBYzON/baZOXy3o7af9vXXJZbz9z1SgCIiACIlCbwF//+tdScAs2BaH0q1/9yp9gayEzN0KOQX72s59l2xZccMHS3//+99qFD7G9uFfaCDH72FrhviRg6VtL3CuhrzbxULK1tC3vqw3Qszouu+yyhsu3LAHZ+RtttFHF+e10WTcFrYyXeaRUtCdsOPPMM8vuo7nnnrvqsb264+677y7ro3kE9GpXfLtNgcz6Y3E2SpbqeFD7s8gii5TxM++lQa0vLhzXeJt8KNnkTwm38vAe+MMf/lC4DWeffXZZ+9ddd92yczfZZJOy/Szba5fIQj448xwqVQREQAREQAREoAqBn/zkJ94tGGsuSyJqBc06+uij3eSTT+4tG7Y21wcla7c7YZVudMXm1GqFG2mrBM+E2267zT3zzDPeekpALNLS2UC2aqRuIov/6U9/cq+++qrD/ZtAYrhKb7HFFj5w0kDF4uCUpcL77ne/6wNz0UY8J9566y03ySST+CBXG2+88YAjT2MpQ3AHbtRCzrW4//77sy5iYWtUbMLJ3+dBFl10Ue8pAkdb/+2D+n388cfecof7+VJLLZVbhSkS3rskiK0j9+VUk/Q+Ggzvg2p1t2s79y4M3n//fV+lrSXOPHLa1YZq9WC1JzjbU0895bAAE2hs4okndvPPP7/3HJpzzjkrTuU+xwMDTwgCrfFejD0iKk5oYgPP9fPPP5+VgKcFzxoeOgTg5Flnm02a+mCcte61RppBdPwrr7zS/eIXvyirv5EywrHXXntt2Wk77rhj2ffdd9+9LKjhddddN+gBF7MGtEvzpx5ZyNtJ+3/rkoW8/cxVowiIgAiIQG0CNsAqYcm1iM5lB+ZZyMMBv/3tb/05pnzVLnyI7bUIx2VWHTg1K7amv7T44ouXTMEtYYkmQJlF0PaWKf6aolA65phjSrbeMqvKXJ5LtgShhKWOjym0Ze0y5bmpZlGfDV6zD3VZ/IGybWG/rfsu2aRAw/W9+OKLWXnmEtzw+bZePDsfVuYiW1FGPQt5GrjOlIKSKTyl9DqHvq6zzjq59RDIN+Zl66Yr2hJvMIWv7HhT7moe36s7TenK+sl92g0BI22ZQ2neeefNvZe5hjxLpniXTPGuwG7u1tl53/nOdwYtyBrW6fh+4hmDJe+HeDv/86xfeumlFW1tZIMt+yjZRG0WHDGtg+8Wab5kE1SFi02DYtoEQ9m5NqlX1hfedbZOvXD5zRzomjm50XOlkDdKrPnjpZA3z1AliIAIiIAItIdALYW8PS3orVosdU/FYJjf/WaEKNxBEUfx3nnnnb1rLErhqFGjSrgys5/BqllnS0TJP+mkk/x3FAf2TTXVVCUURaK62zrPkq1d9oPnZsSshBV9zRukh21moSu9++67DVUZK8M/+tGPGjoXl9pYaV5iiSVyz29UITdrY5mrfl6fzVJaUdehhx5axuvPf/5zxTFhA67sabm97s5drbMpf/MAqXZoW7ZbzIy61zdcmwMOOKCiTccee2zZtSMS+mBIWk96v6TfUdTvvffehppiXiAlC7rmJwPT8sJ385YqWfDP0k033VQ2IVivIvM6qCjTvH7KTuMZTqOvm+W/XtEt2S+XdbvCEhEQAREQAREQARHoNQK4uMZiaYicWdoG3A3yDOPGiXs6LrIPPvhgRVCj/fbbzy8z2H///Z0peW6OOebI8hLjXm1Ku1t11VUroi/bGuWm2hUi8ceF4Aa/9957e9f1a665xrto4/qL4JZMnY3kXW8moBvBCW0CIGueKeQD7m98Im62uALbxIgPgsi1gbEpXtlh5ADHZX+WWWbJtgXXezaYJdi7EleT9D7iOFPA3Hjj1VcTiFrdrfnH8/pLPvJYCIpmk0d5hw76Npbt4HLOc4dwnQ877DBna5n9/wQuw1U7yHnnnedOPfXUspzjaX8I8Ljwwgu3vO3pkgYqIG83S4pYysI9xFIkllMgPIfsi+/Dao3iWN4nBPTENT4V8zbxbvsE5bO4DAO631gCEAt80/uWZSpsiyOwc55NQqZNavn3+k9ay6tUgSIgAiIgAiIgAiIgAs0SSAfJzaYhQkH44osv/Jp9C4BUoYzTXgatRHFnDTcp6yywmlf4SO91+umnVyjizfaR883q7yyoW1lRZsF2Fgww28ZaagbTROsPYgGfCivkZubKlAf6yKRCI8K6+ViYnGiVED0bhTwIa4fnmmuuTHmh7a+88kqmkKPgsRY5CAoaSk01yVPIbTlJtcOz7SgqqVJT96QOH8DEBGnogtJVRGEcrCb/4x//8M8NSh8f0hKSXSIIkzoWWNBxHEI0dWIJMAEVJFXIiWFglvSWNpn7K+9dY0Hysutvy4l8rAgivwdhQg8Fm/dJLSHVWF5cECLJE19kp512cjPMMEOtIuruS9OjkQEhT9jOuvUg6Xl557RimxTyVlBUGSIgAiIgAiIgAiLQZgKpItVsQDeUK3L7opDaMsOavSH4GIKliQE7CinKAoGoWi2pMoAyGgcsC/WRFi5WyAk0VVRs/Xhm4UbJmXbaaYue6o9L65p55pkbOr/awXgqoJDEQnA8rJOxRT8EKuM4rOVMrASxtcXVivfb0/uo5sHRzmbvt6L1tPI4JiZInRjuX8vm0FDxWHODF0beiZTP81NEuIZ8qglpumxJSLZ7sskmK1PG2cF9Rn08g0h6H1Yru5HtMIrbgecE1vt0MmbNNdd088wzT9YGJoaYKEJZb1SY0MLCvv766/sJv2aF91os1SaoUq8QguW1Q6SQt4Oy6hABERCBHiWAZYrBb7Ufrx7tlpotAj1PAOWX3NGxNKsgYYVCQSCiOa7pDE5tvWZZLmoUvfPPP9+71mLZsuBOXpFFqcNiSm5gBtGtfGekCuNee+2VG0Xd1nD7NofBd6yU1rvgzbirU7atwy6rYooppqhXZaH9eCLkKXgolbHgqRCkkbbAKrXuc/2KTCjgWl1EbL1vNqmAW/J6661X5LSmj0FxxkuC/sTCtQkKOdx4llLlslrlW2+9tbv66qur7fYsG12uQFT9J554wmcmoF18+J/f3+DOToV5yjv3O5NgWM+R9NpXbWgDO9IJMVz8qy2NYdlEPClQRKHl/mZiL+4r77bNN9/cZ2aAOZNSef0v2o30+lZrF/dCLLE3QtG6BnKcFPKBUNM5IiACIjAECFiAI78+kzWlFrl5CPRYXRSB3iHAAB6FOAgD2mWWWabpDqBskCILpQC3cBRzC8jmUGJwqyXNUbAikfbolltucQ888ICz/N1eGcDFlIE1E3kMZtmGpQ/lKFYaG2loqhDgKp8nrF+NLWGp0pp3TthmAaiy3Y2mO+PEoBCFQuq56dZqS7yvmmKfutwGC2mjbUHxSdvOhAuTG60S7o+w5MACdrWq2Jrl4E5NqkTcnvMU8vhk+p8qbDULb9FOUgr++Mc/ds8991yhEqtNuHGPhGuYXstCBdc5KH3+sIRXk+BeH/YXeQaxgLNchvuOpTKxtweWeZam8GG5AeMRPo3en6REjAWFnGcmnexKJ/HapZCPWw2otvcHgXiGupWz1f1BR70QARGoRSDkwo1z4tY6XvtEQATaRyC1GqN4VFPeGmkV+a1R0g455BCveDNoRQkP+ZEZS2A9JbAYa0QtorrbcMMNnaUp8oo8a3P5EHSMgTyWPtZkDnQMkuY/pi9zWCC5PGGSIhbcZ4sIfQz5wy06tO9Ho5K66qcD/UbLC8eninfYTjurSapc1mpLeh/BtlFlp1o7wvZQB94URSzv9cqrt5/c9CiNBB1kXXYqqcs5ruDtFgLxbbDBBmXKONcUyzOeB6wlTwPxVcsNH/enVRNBMY9UIa/2/PGcE9wwCPdhveUS4ViOY7kJS2WuuuoqvxY9vW8Zi+CZgxWeAIe4zacW7WrXkUnFuDye+TQuBWWl5VXra7V6BrpdFvKBkuuR87iRRowY4W8w3J56QSw/rbO8gr3QVLVRBAZMgB+G1VahF70dAAAgAElEQVRbzUcOlYiACIhAowTSQXI161mj5XI8yuXPf/5zZ7m/3TPPPONYQ8o4gkEz44q8qMOs+SRAFso41nXWMWO1x+WUT6NrskO7Ua5SBSp2bY37R0TyWOIAU7U4YKEMrr64xU455ZS1Ds/dZ2nWyra3KhgUDBuVNABWrbak91E1pa9IG/CguOSSS7ySiZKLyzFeFJZCzZ+eKsdM9Fieda/E4dnABMoPfvCDivuL/cGDYd11182C19Evgp4hrFPGQ8TS87k4IN3rr7/ubr75Zq/8BokVMRTYRtYoL7DAAm6FFVbIykr/KWpRPfjgg8tctPlOpPEQKZ97nuUfsVR7xkNkc44tYpFO21zrOxZ33gGxxN4Y8XaWJsReO0xsNcKWsgi4xz3AB5d9S7noiC4fXzPY3Hnnnf7Dczd8+PBaXfD7sJCjlGOJD8J7Lb4nuc/ivvG+I3NFW8QqbpsoD3nbUPdsRfYwVOQJtAdB28SgL+8BsxiV7Meua59Xc1X13G2Q07VtTBtmA8ISeUPJjTwQMXe1ErmdbYBTcbopGH4fx0gGh4BZ0rJn3QZLg1NJn5Rqlsay96JF4u6TnpV347jjjqt4/5ubfEVfLXhUyQb/2bHkQS6ak93So2Xnkb97IEK+9Xi8YsaF3GLSPNjbbbdd2XFxLnTKs7RYueWQHz6u78ILL8yO43cl3mdKbG4ZbCSvfHwsueYHIhZ3oGTKYFlZNvFc2mWXXbJtZ5xxhi/aJlRKZg0t8RuYjvHYBstY4pzqpmBnu26//fbsfFtW5cs1j42KMi3YX1l55KgP9ZpFeiDdbeocfkvifq+44ooV5ZEfPT7GJsIqjmEDubTj48xynHvcQDdabIUKnmalrijOJuJK888/f9mxpkxXHDeQDeYlUzr33HNLNulS0RaLEVC4SFtWU3b+iSeeWHZu+gxzfLtEFnK7iyXdQyDOP8hM1kBd3LqnR2qJCFQSII8sQZCYSeb/1NWx8gxtqUdg9OjR3sUvDk6ExQQLHymCigiWPVwFCQKEOyFuuLGQVgkrGuvbGp31L1K/jhGBogSwLL799ttlh1eznhUts1uPS12qaSfWRAJn4V6PwILnNQ7UhHWWNExFpNn149SRuhcPRrTrIn3hGH5TcA/HOoxUawvvMptkLCt2IBZyrJfkh2b9MN4Q5H/Hy8AUaZ+zPki4R8mljXsywns1LI844YQT/Dt8n332cbQjROcO9wDu7uS8DhJb9zkeay514t3BbyvX3yYEfHq+IFjV45zUzQQKywpt8B/aFgvc+P3BOoxwvWAQS7V28i6odRz8L7/88uwQ0ucR76GopB4UnMf15bcyxKzAe4ZysWgHwZOGvOGtELwtyKDAh/sDiznBAVP38np1bbHFFplHBceS452AcSEwJfdlLI1wqld3vf1SyOsR0v6OEbCZz4ofuI41RhWLQAsJoDwSpVTSGgKsIyMCK+tdCULFwAXXM4LAMGgwy5EflNUSXODMUuWVcSR1rWQdLJMorO8bqOttrfq1TwQaIZAqqawdTxXCRsrr1mPNOuUjvgdhYE5gOFKUsQyP9ygTm7feequL3bJxNUVpKCLUEdaPYwRYaaWVipxWcQwKIWtmg5IQKycVB7dhA0oo7r4I7y8mK9KJxFTZYn+a17pIU0eOHJmljLvmmmv8ciwE9+tQHmUT0I0AfyjMCEsfiG4f3LxRwNnGkgSWL/I9jgKfThaE9jMJwLuZpWAEFWSdMcIkDQp6LMRCiJc81HI/LzuxhV9QAMO9TLH8XjFZATcmUQj2lgYXiyci4qaE5QBhW9ofJlxw7Q4Srk3R7sT3CL+xPCNMKOCOzvMHe8brIWo95XIMCvNgGNX4fTdruTPPGT/Z08jvMcsW+G0P7xR+03lvmmXfL8uJA+Jxr7VznNb4wpSiV1DHiYAIiIAIiMAgE8DSgRLOQIy1gyjhzNSbK5q76667vJJOFNt0cBM3i8EZg7iQyobo0OkazKAA9asVcpAvk4pvMYFUkWKQOZC1xi1uVsuLw1IYWzOZeCPCMkL0ZdYro7jFyjiKCxNr6Zruao0jgF2oA4tfGo252nnpdhROcz3ONscTCemx7fgeW4WZtEgVN9qQ3kcoO6nSXqStXAMEJSZW+BZZZJHsvkQZp2yUw6D4sGY6XnPNREoIvBUUvDgKfPz+ZSLlscce8/WyPZwXT1alCjzHopDHkiqwZTsH6QuW8IMOOqisdGInmUu/X1PP5Ena9mpB/OL+8A5o9W9UfI8wCYZVGcGijycZSnGsjDMpxbr+gU5sFUXOWnkmW/CwKCrw4Z2BB24QJtBgGCvj/P7Tr3a+U6WQF72KOk4EREAERKDrCDB4YTC+9tprO4L9xMLgmkEgA3ciPucJgzpyGjOACAOZvAFNGFwHyznRZG3NalkAm7zytU0EBoNAaiHPu2cHo952l5kqjPQTj5cjjjiiTJGjXUQjx6WVSOuNBLGN849XS6dWtN9xfm2snvFkQtEyWnUcUahjC+VDDz1UUXQr7iOUR6yLCAHcYiGwX7BGh3uU92aQeAKDbXgV8E5GQnCy+B6IPZeIoM67HYm3VzveH2hCNoAgWKobzRmendzkP0cddZR31U+tyFhsCUJ3+umnl9VQ7Tcs7g9KcL2gbtWi9ud1B8+KOK85kwS77767u/TSSyui5aO8EqSWIIwsF+lWIXAgv+e4o6fs6QNWdJ4Lgve1U+Sy3k7aqksEREAERKClBFDEr7jiCp/zOE9CZNZq6aCYYSf3KevPcYVlMJdaJig3DPJYw4gbPAMm3NyJ0MvAijWtEhFoF4ExY8aUud32axwKIi3HOaRx88VSiLsqzy6Df9ZBEwkZhW8gKZ9QyHCBRYpGZa92nbHg8y7B2oZiiaV+++23LzscRWCzzTbLtoWc7mEDZbDWNUg1i/Uvf/nLMqUtvQew8lEP70cEN+j0PYVXUey+nZZR1vAqXzgf6zT9Ta24wXLOqeG9GtZJsy22SvL9rLPOymoJkyMhwjfKUqw8s1QpSDwhFeKI4C6fptzCU4AlY0FY4xynwsp2tOEf+nPKKaf4XOn8vtA21rwHF3+44t4fJGXLdtaex54YeWu2uR+57rvuuquPPt+IizeW5LgNIZ0e9zD3KM8facq4b5j8Tnm3AeOAqiD2BJMKPEP0gXEC7w6s7UU9awZUca2T2hU9jnoUZb2dtHuzLpvZziIgPv/8873ZCbVaBOoQICqovZf9x35Q6xzdud29GGU9phU4zznnnCVTnitAHn300f4amMu732dWFv+d91As5tJWskGk32eBiko2g16ygWOJyL82QPHb06jAFZVpQyECZpnIng1FWS+ETAd1GQGzIGb3sE3edbR1lic+a4sp/iWyUAyGmPLr6yHyPxHEEbPIl2wiNKs/REc3BSjbZhMgJfM2Ktk68ZK5CJeIjE85ZmnP3tmWT9xvs8mYEu9ixNYnl+gP202xLcuKESK950Uut2VMWd1mHS1ZCqzBwNG2MmEGAz5Elzdvsdy6iVIeIstrbJ2LqOMb5bJud7FEBERABESgvwjgzkiQNqwflsanYi0Y6+AILIT1iuBPuF2yjgwLAPmUY8Hiwno5hGBB5Fr94Q9/6E466aTM+oSlQyICIiAC++67b/a+IdjcO++80zEouISH6NwER7PUYIPSFt61CNHuCa5GYDbcp4MFPI6OjhWSmB0I68mx2Joy6QNv4nVEdG6s+mH9bvB+woNp4YUX9h/ihIRc8QsttJALHlCmVWXxQnDRn3HGGd1VV12V9TnkLGcD1uR4LXF2UA/9E0dP577Li3/AkoxVV13Ve5Jg1e7H4I89dMmqNlUKeVU02iECIiACItCLBCxHsVtllVW8qx1BctL0ZQRrOeCAA3w6tBC4BaUbpZzBYrquLLirM8BMI/ZSNmv2SD2D+6BEBERgaBNg/XrI6sBEXuyG3QkyTEgGt2xcdFHMWy1MbprHkQ+GSZAs3K9Z68+SIhTqeNkBdfPepV0o17hmo2wTjA/3bWIAxEuQKHv11Vf37vCsSec4s/z7COwcF8cOoZ8E9gzp8HBFxpUaQSHFTRlhHfXPfvYz/3+vCsHuQvR0foPSIHGhXyybIGAcbuZwl3QpgXba6OWy3k7a/1sXbpqWy7BkPw4le0G2vwEN1iiX9QaB6fCeJCCX9cG5bLzvLO94yQZl3lXSIsBWVISrIy6OuEpa5PVsvwXQ8W5/FpG94hwLUOP3mWW8Yh8bzOLg91sAnNz92licgFzWi7PSkd1LwIKNlczy698Ltr69qitxu3pgFunMtdnWdQ9qtfF7tUhFuKvbZGjdQznGlPe6x4UDLDVX2bG2ljpjYDnQC5fTrQead1fWH0tvV7WZLIuzCeeq+7WjOwgoqFuXTpS0qllYbZgtREgN1Klokq3qj8oRAREQgTwCWFhIh0TQGqKjEn09dc3DooCrIwFoiIZ88cUXZ0Vde+21/n+s3Oedd563qoSIwURcxRWQCLKpYN0JKV/IxyoRAREQAYLMsYyF4HMIVspORp6mLVieSf9IILc4aFyrr1a1IHTV6sHynRewLD0+DgaX7sv7HgKQsQ+LPbmysagT7O3www/PO6VntuH9Rco3+sNvVUgFmNcBlgQ0EsgtrwxtG3wCUsgHn3FHa4hdkwbDTamjnVPlIiACImAEXnjhBe9+TpohojKbtSB3LR15yXkPkiYNl/U84Vw+RPBFISeCLAo3+XTzBoQMiixgjp8EIAK0RAREQAQgwOQfn24QXMmfe+65bmhKR9rAMqSQs7wjDWhxpUz4vPjiiy0uVcV1koAU8k7SV90iIAIiIAJNESBlCfl2UYpZE0gKsmppbNZZZ53c/MTvvvuuD+5GypYQ9Ii15EjI04sSnychXdJWW22Vt1vbREAEREAEREAERKAmASnkNfFo51AkQERUWwvqXZyIFIp7U1HB3ZXozgjusnFORlyMKBch3yGRSFstzz77rHdLs9Qm3ppHtFKCW4VopK2uT+WJQCcJELCHnOCWNsedeuqpFTl207ZhxeaTyjXXXOM3EbQtzUMccrxaehxvYSIIUZD77rvPXXLJJT5vKRFuJSIgAiIgAiIgAiLQKAEp5I0S0/F9S+Dqq692RxxxhLPct2V9xG2VyKSWo7hm31lLipXs7rvv9sdhOdtjjz2yc1hDFlKDEHmU9UytEtIwsSbK8ktWFMk6qt12282deOKJuW68FSd06QaUH5idcMIJXdrC/mtWiDae56rdDb0dOXKkdyefdNJJ/XO75557VjQLZfnYY4+t2B5vCFbw5ZdfvuI4IqxTPs/sRhtt5J8jovzynPM/0XpR6HEhlIiACIiACIiACIhAowSkkDdKTMcPKgEsu0EsOrxXvuopwq1o0Pnnn1+mPMdl4hJLyo17773XLbPMMlWrY3AelPGqBw3CDtx0+VicyNzSSUHChMLDDz/s7r//fh/QqpcEyyTWRyYdUIok7SOw9957u/fee8/ttNNO7au0gZpCTlncyQnElidFAilVU8hJWTR27Fi33HLL+Qk2FPI4GBJu7aQ0qvVeyGuTtomACIiACIiACIhAICCFXPdCVxHA2hQE5ZaBMMow1l/WiQ6GoLBaqqOs6F133dUxGYAbLDmHcVkNx6CU5wlKeydyWuIua+k7sibhbrvffvu5Oeec07399tteSQnRo8mzfNhhh7kzzzwzrwtduw3mKOOS9hNgyYalCRuUisn5zTIOllPE0XCLVsYE1JgxY+oebunP6h5z+eWXO0uZ5mafffayYy09mndTJ1gbUWrJfYvFnEBvLDkhD2619ep1K9UBIiACIiACIiACImAEpJDrNugqAriGBiEqKNa5e+65x38WW2wxd+CBB7ptt922UIqMoh174IEH3Mcff+wPZ0COJSyk4OB/Bt0IFmbc0hmkx4J1jjax5rxRwQL31FNPOZST+eef369FLSqcw4RBENpAZOjQPqJCY1Hea6+9fJ+Q3/zmN37iYKqppqqohnQof/vb3zxz0jcttNBCLrgsVxzcog30/5lnnvFRr+ebbz4300wzNVUy1nRS/eFizRr+IsoYihgTKpyz6KKLuvHG02uxqYtQ52QmWPB84S/PDPcry0IOPvjghtICoQiT8qUVkirioUzuhbgO6sStPc+1vRXtUBkiIAIiIAIiIAJDj0C5ZjH0+q8edzGBO+64w+cJDkGYCJZGrkUU11/84hdeiW2FfPe733U33nijO/vss91JJ51UpuzHwdAYjOdZw1B4Wb+K8trIQB03eRRQXPIJvMb/uMN++OGHhbrFmnSs4Ah5P0eNGlUxWcA+LOi0EZYo/6kyjicALuHUjxK/5ppr+kkI1sSOGDHCkd85FhT6wILc9qnQlrA/5GfmmJ///OfZdtryq1/9yteJ2+9qq63mA+DhEhz3H55xfk3uCcqOA2tRNm7FK6ywgp9QWXXVVf11wKJJCqy33nqrrIl4QIT24T2AMsjxSy655KB5YaSMhup3nq811ljDW7bDBBaTXHihcK2IuVBt6cVQZaZ+i4AIiIAIiIAI9DcBKeT9fX17uncouDvssIN3GcVlGcUJwYqLoohFFcX8888/b6qfKIUbbrihV1rT1EVXXXVVVjaKY6qQY5G+9NJL/TEonIsvvnihtuD6ivKBy24oE8WEwHK46BfpE5b9ILQNBTRPZpxxRj/ZAMt55pmn7BCs4UsssYRXjoOXQDgAqzV8mTAgenwr5fTTT/eTAPQ/WPRRxLjOBx10UENVsf535ZVXztJTBZ7kmybYFso2aa3yhFzUTz75ZLZrsJZF5NU91LaFwINcZ6zO3HMo5uT85h5EmKQ644wzhhoa9VcEREAEREAERGAIE+iYbyZWN1LWSAaXALl5g/QC87i9od0obBtssIH/oMiefPLJ7pZbbnG4J6OYH3fccQ5LLWunWxnp+LbbbnNHH310xm///fcvu1ivvPJKluoIhfCQQw7xbSgiKNwo3hdccIFPq4aFfpdddvGu27hwE4QtdkfPK/P111/PNrNmfCCCtZh+ILPOOqs77bTTvNs23gi4EGNdfuGFF9zOO+/smbdK6CPXjOjXBJljDX9Y2856Xlzrue7HH3+8u/76673yhtC2I4880qeNQ3A3x4IeJjC4RkyMsJ32Uw59oHwmT1JhLTD3FamzWBtMLmrJ4BA45phjfMF4Nzz00ENlywlYbrH++us7PCDC84ynhUQEREAEREAEREAE+p1AxxRyLJKS9hJI8+u2t/bGa2NNcyrkCeaDYo77K0ozkdlxo8ayxtrUPDfqtJx637Hm4T4e3OI322yzsujKWF9RIphAwK2dwFdh3Xm9stlPECsiRGO9RnDXffrpp70ygmApr6eQx67kA0lLhefBrbfe6utjrSz/476PsEyApQFY3lFu2UeOc1zaWyFY6lHAg3WciY+gkLOuHMs5Fn/cm2OXc3jBKgip0EKaOqyuWN7Ddfj1r3/tbr75Zm/dx9MBL4FJJpmkrPmkr7ruuut8/5l0aJfQxyBEAR/stfoD7ddnn33m+c4888wNxTdI6wuxEtjOtU7X9tN/JtpQyJmoZU0/z7lEBERABERABERABPqdQFsVctauEq02XZPa75DVv4ERyFPIQ0kM1rEqYy1FMUdQjk855ZSmFXKU4ThI2/DhwysiTR911FHeooqg6FULClWt5wRMC8p4OIYJk6CQ5+UTT8sKVmK2D+SZIgVaEBTvoIyHbawjJ5Ae67MRji+ikBdZA4yLchwcjyByKMVMdCBcy2ou+KF9/CVyfBCUOiz8saCAo5AzscKER7rGn7X7nQjixrKLIEwqdLvE6QibbSuR2/OEqOVBWllfXl3aJgIiIAIiIAIiIALdQqCtCjmDY1xhGUQXGbR3C6Rebsc777zjgqs11uN0DXG39Q33aVJzIXFAtbidKFcEBUP5jhUbompjIW1Gfvvb37rddtvNW4WRjTfe2F1xxRU+aFoQonhTN0IbQxR4vmO5D0JKMu717bbbzq9xjiWvb3GEddKs0YZaVvfYTR238mpCOXgPDBs2rEzpjpUeAqrlCduDQp4XbC4NrMdzHZTqvPLCtngyIWyDcZFz43LjZS9/+ctfsnsnr+7333+/YjPLBTohIVAhdbO2P07314n2VKuT+5CJDLwPpptuumqH1d2OhZxnlvsD6zcB9FIhsFsQlk9IREAEREAEREAERGAoEGirQg5QlIiBrncdChek1X186aWXsiKJnr3MMsu0uoqWlhdbPNOCWV994YUXeito7MaMJZfgXM2mQyOg1J577plNFrGmm3RhqQWVdhCADSEQGrm+84Sga3xQPlKFnImSVAiwFgSX3lrKOMexBv3UU0/1p+B+/uKLL2YR6eOyb7/9dr++nc8cc8zh24QiGlvo00jk4XzWWAchDV0qaSA4XJyLTLbluWinAfPSuvielo3HTRCCz9UKCBcCh8XldkoRjvvKJFIRb4A8Hr20jXvszjvvdKwlJ6p+PCnBvU+QP4R7tGhwxF7qv9oqAiIgAiIgAiIgAnkE2q6Q5zVC20SgFgEsuQT1ItAZa4uDrLjiin6dNUG5mhVyIrP2PCh8KAdEGM9TElGU09RhoX6CiwWrMcHKsPrmBafCop2uySaNWZCQ+7xWv8gxzjpvLMO0mwBtlBFbn2EXB5rDSyVYhWP37SeeeMJ7r+CiHoTJEayjCBxQohD6FSRVyAnW1mqJlffUIh9zwjWd4GxhAgVr+znnnONwhUb5y7OGD2Ttfav7183lYc3Gw+aHP/yh9/RoRlhawjOLpwKTI1tvvbW/Lkz6kKkgZBwYOXJkbvq+ZurWuSIgAiIgAiIgAiLQrQSkkHfrlVG7fLA2cmjjbh2ir6MYrrfeeu6II45wyy23XEsooeQRXTvkRaYOlGUU3lSINI5rfDwxEB+DUk8wMYR2k9osT1CgCU6GwohSfcMNN2RBzTi+iPLDxADnk6oL5fPhhx/2EawJTkawMtz/ieIeUpbRLwJnBWE9OFZ2XO5xa4cr+1FySQVGZPLgCUCAO9LMIfF6eerkfMrhHDwMWi2TTjppVuTLL7/sI3Tjqk5Ubtbd496MUkd/99lnH7+cgIkHIrgTcR3B6ooHQTo5kjfh0ur293J5RLwnrRxS5J6s1Vc8RUJ8BmIeEAE/FiZeRo0a5SdVmhVc7XlWuQ/WXXfdZosb0Pk8k6l3zYAK0kkiIAIiIAIiIAJ9TUAKeV9fXudYA0yEZJRO1oH2kuBiH5RkBuvbbLONt4ijELdSsM7FLtsoyyiZeRLWlufta2QbyjBu5sHqHJ/LtqIRvzmW9u+0004OJYR+oIimguJJDAGU7liIDr/CCiv4FHJ///vfc5UurJm47gdhooL1xCj61Ekk9CCknUP5ZZ19qwQrKu3nurz99ts++jYeCkyKcF+wjAEvCe5x2snSAyzfISggSjiTJKky3qr29XM54X5v1X3PdWJihIj6LKVg6QYB/VZddVVviWdyqhXCenQmkbhX262Qs0yIYJNMbml5ViuupsoQAREQAREQgf4mMG5/d0+9w0JE2iIUpF5YpxpbnlHGcY/GfZw+EHCt1co4d8iYMWPafqNsuumm7sorryxzo0a5xMJMirF668fjBqN4YJ3GBThN64UiSyRxlJ8QLC8+lwkb3NLJ557eHyi9hx9+uA9UF6epIiAd6cTiNcDUg5Wc9elY51spuJxzD8RR2VG+g8KNhwATKCjqHINVP+zDLZ++r7POOq1skspqggAThLivc8++++67fmKKCZNWKeM0LVj106j6TTS70KkEPmSyjYwEUsYLIdNBIiACIiACIjDkCYxjVqfSkKcgAF1DAMUqWFxRTnE5jqOPd01DW9QQlEcUElx4cTdP8zM3Wg2KKpMXWK9x9cbNvGiZuNgStZ41vijjTH7Umxhg/Tp1oXxUi9TeaB+qHf/JJ5840sEx6UC/8gKyoRDRB15rWOrzAtFVK7+d20ePHp1NEsAvnQxpZ1tq1YXVGms2wSDjKOi1zumGfRtuuKGfNCKmAmkL2yW4yeMFQHaG66+/vl3V9lU9pJMMEym8y7o9M0hfwVdnRGCIEmCSOCzpI6UuhowiQrpYPBMxRBCHpxcFAxFxlBiDYlSRdIaAXNY7w121ViEQByRDGehnZRwEWHTT/N9V0BTajFt2kVzheYWx3hUrZSOWykaPz6u36DYmFupZPHF/5iMZGgTwhCCOAZZ2BhMhKCGTB3ht5GWVYPKLc4jszvuGe6raxA1LOZioYrCVrgcnjgEflmngycOgLHjbkGudmAaUm3qtDI0ro14OdQIsp2JCheejaLBPAokymYYQj+UnP/lJz2EkYCvxTRAyaDA5J+l+Aiy/C0Fqw1LJIq3mHD5FDR9Fymz3MWQO4rcsxGpqd/2q738JSCHXnSACIiACItBzBIh/QOBBlPEgm2++ufvZz37mvTyYLEIZCILyzgAf9/g4Wj9LRYgiTwrBNKI/nhhMmqXZBCiTCUPaQAwHFPI4GB0DcT4oGHnp9noOthosAg0SYMKLmB9pZoxaxXAs5yB4RPWifPnll34yDmHyTyICIiACRQhoDXkRSjpGBERABESgawicdtppbocddnATTTSRj8WA4nvWWWd5CzXZC5A4CwODZOIIkPmA7XfffbcPYnjXXXd5yzopDg855JCy/o0dO9YrE0sttZQPEphKvE59oYUWcldccYW3ovPh/6uuusotuuii6Wn6LgIiIAIiIAIiIAJlBGQh1w0hAiIgAiLQMwRQlLF04w7OercQuwBLNC7opDBE4uUNRD1njRzru1nbHWIjEGDutttu89Z0LOekUySDABIU7rz0iiFWAUtqQvA2LPC4t9OOLbfcsmd4qqEiIAIiIAIiIAKdJSCFvLP8VbsIiIAIiEADBI477jifDpE0fmkgwTitX1CkcWn/5S9/6YMcXnDBBRWBCmeaaSaf+o9o/Ic4jZQAACAASURBVI8//niWJi0EsctTyFHWCRzIeUFqKfANdE+HioAIiIAI9BmBp556yntzkV3kgw8+8GvO8aDCoyv+HcnrNmu7r732Wj8B/frrr/vlHMQmYVKa7DLbbrtt3dg5/D797ne/cy+//LJPV8tyrB133NGnHC0iBCC+4YYbfBYgAudSBpPX1M8kePpbTJmsSz/vvPN88bvuuqtfo06gZlKDMpHNecOGDfPxXiTOSSHXXSACIiACItATBEiLyIBgsskmc9tss01Fm0OueZTvENyQyOdYrxm0VAsSGQIB4toehGjfSJ5CHvYtu+yyFcfXCzxY0WhtEAERaIgAygHPNdkqUFBYWjLjjDN65WCrrbZypOasJWQHwTPmiSee8MoRni28U8gsQlaGekoK9V122WU+vSFLX3jfEMQOBaeoMFGIgoaiRBt4d5FRgKB2a665Zm4xN910kyNoHEtk8PZBwWJpDEtqVlxxRa/01Ot7bsHaOGgEUFz32msvH28kTWrF0qlRo0b5wH+k9c0LDMf2Aw44IDeOCY2++uqrvWcXsUxCQMS4M59//rlXfK+77rqyPj700EPuoosu8ql2eZ5qCfcc6XWfffbZisP4PUbJZqL8wAMPLNvPfR3S7S6++OL++QgxX7jvmfQm8KPk/wiQ9kwiAt1CwH4gScPnP5biqluapXaIQEsJWDqu7D63tGctLbuVhe23336+nRatvJXFDrgsi47u22Oz6rll2IDB71999dWz/TYY8tts3XnuOWw0xdof89hjj/ljbJDtv88+++y558CD/eYGn+1fYIEF/DYbYOSeo43FCNhAzXMUy2K8uvWo8DzYZFfhJpqSkF17C9iYe55FbC/ZZFt2XLhXwl9L2VkyZTn3XIsmXbKJvJIFaqx6PuXwfjFrXm4Z3J+21CX3fLMSli688MJsnynMuWXwLrJAkLllUP/KK69csqwNFefaZIM/hz5Y8MqK86vVV1GQNlQQOProozOed955Z8X+ahtmmWUWf17eb4V5cvnfonBvrrvuuiVToEuMc21CqLTzzjtn9yK/KTZxXFaNLa/Kzp133nlLFuukRNsefPBBf49vtNFGJbMu+2NsuVbJLNJl55uiXfr+97+flWEKe4kyuYfNW6xkVnK/z5Zw+b9msa/opk1elWySx++3VLMlU7pLFnvF/1Zyv4XfQvYfe+yxZeebJTyrO7wP6IelNi7Z5HjJvNwq6hvKG5ixkfQ5AQax8cCxm7srhbybr47a1ioCUsgHRtLc9vwPPAPSPGGgy/7DDz88220z+36bWZLyTim9+eabJQvEVjILWemzzz7zx5glyp/Duam88847fhDFOQzwEQZCbLN88iUGQZKBE5BCPnB23XTmYCjkKOMoHjybFtCxtO+++5Yuv/xyryDYspRMwUBJ+c1vflOBA4WIc/mgnJj1sWRW9hLvFbPylcwFONuP4pGKBY/09XI+7wuzTHrFylx5M+XKMjVkZeQpyIceemi23yzdfqKQ34Obb77Z98cs5X4/Cp5liyhrQlDIzZLvlSjqYjLRYmB4pcmsoWmT9b0ggVghN3fqkqWjLfQJ1ztPIT/xxBOza50qq6FZKNbhnjzmmGPKWhsUZsquNnEf309mBS87/5JLLsnKPvjggytIWBaAknl0ZcfkKeQW1DS7382iXVGGeZf430n6wG+gueZnx8QKOfuZRAq/j+Zlkv1+VhQ6RDdIIe/zC88LnRcGD4qt++j63koh7/pLpAa2gIAU8oFBDNyYYU+FwYXlC/cDAxTqIMFCbhHW01P89+AFYO502f5TTjnFl5M3iGLQzD5zwcuOD+1iwC9pjoAU8ub4dcvZQSFn4sqWfRT6xJbv1ELOwB8FlmcP5dOCO1Z0FYWUdwPHYM174403smOwLAbFZ8SIERXnsgGlB8sdx/EuiQVFIlgDmRR4+umnK8q45pprMoslZaQKOW0IFk1zU66wiFIgBhTazvm2vrisjqCQs2/WWWctofAEYaJQMnACsUIe7pNG/qYKuS1/Ktkaa38dmTSpNVFrGUD8cXh3oKgi5u5d4h5ZbLHFSmeeeWbVjmGpDu209dplx+FpEe4V2pMn5o6e3ZOpQs5EVyib38Rqgp5hyzb8sfHvaKyQM8nxzTffVCtC242A1pDbHdTPQlAFAiAhrOeYa665+rm76psIiEAfEyCCOWnFWP9GcBrWXCKsEScNmg3A/fd4bffaa6/tzjnnHHf++ee7vffe26/VDMI6UAK+ka/8+OOPz7a/+uqr/n+itsdy9tln+/RqSLy23AbnfltYt152kr6IwBAmwPrsEHOhGQysn7ZlbL4Iszw61qSmQhrEc88919lkgH8n8GybIuEPM08YZwq1z3POmts8MQ8Xx/vCLIvOlPOyQ0itaMqP30aWB7OgVhSx2Wabue22286vF86Tk08+2a8jNsXLrxmO30XheGJQ2KSfO/XUU30gL3Ka543bzNrozP03q4Y19JLWECDeyBxzzFGoMO4xgpWlQjaQcA8R16BW4DLiAdikrg+Cxn3GPUBcEzKC1BLupbjuOO89Zdnkjj+dNepmmMstimdlySWX9PEUUqFNQehDNSG4G7+5pBEl9Wie2ESZM8Ng3i5t+z8CUsh1K4iACIiACPQEAYKy7b777g7FmMBLDFxtLaYf3JLKjB98orfGwdsIdEMOcgYXDBo4n4EwUdXNouUYhPM3jhJrVgnPg4E/QXkQcyn1g3lb9+dsnWhZWjUCOyEMoM0K4OurFpjJHygRgSFCwKy9fiKsiJiV111xxRW5hwblAMUmL6BjOIlJuoUXXtgxSXbHHXdkCvlOO+3k+NQSgjqGlIg89xgzgiJD8KogBLiqJgSuylPICa513333+dPWX3/93ABeoUxbG+wVcoJtmVXd7bHHHhXVMXEgGRwCvOOLvr8vvvjiXIU8DoBmyyd8MNJqQhrNIAQcTAODongzMfPiiy/6D4HQmJAmcnt8Lr89QQh2GL4TrLCW8HuXp5A/99xz2WkwqTWpQLsQfiOZGCBIYixzzz13rSZonxGQQq7bQAREQAREoGcIEJUWhRpLmK0V9xGOGbBimdp8881dnPqMTjHAJl0LyjUpWPbZZx/fV6xUP/rRj5y5xjpzTy3rP0o7gxEUf6LEYilnMM+gCusYFqs4VQ1RdIm4zADJ3Asr2tAzcNVQEWgxAdIzjRw5slCpWPSqKeTBCwUPmd12261meUFJCUpCejCKNgoNFndSMPE/ihDWSSzrQVBogkLOMQj9YdKvmnzve9/L3UVbQhYHlJ9aSn3cBiJcp8IkR16aqfQ4fe8cASzUQSz2geNTROLzmJDBAm/LrXw2gVS4N22Nd64yHXt45EVvj8sKWUbS8uO2YP0uKmRDSRXy9HvRsobScVLIh9LVVl9FQAREoMcJkOKHAcpJJ53kU6jgqhlcP8mPmiecYwFz/MfWu/lDqqVAYx+WdhRrC7jkj6cOFAEkuKz7L/8nWCDIL4sVjLYEK1t8jP4XAREYOAEG+QjKNKmeigjpySxQo1eiEax3vANINxa794aySBmGx4xFOK8oPig49ZQblr/w/khTScXKDUp2nqJdUaltCP2O99VrQ1452tZeAvzmBEGpxjW8iMTLEHCdDxNU/KawJAovLyzaeIGwhOu9994rW7oQ6oiXWwUvr2r1s6wkT8LvKi7pLO8qKnm/rbWs60XL7ffjpJD3+xXu4f6Ra1MiAiLQOQIWFMYroPXy8naihQwWLJBOw1XnDRaqFcKgytLaVNtdsR33eYkIiEDrCQQFh7W9YV14kVriyTpydaPAIKw3Z+0sFkaUGwto5RWcgw46yE/GpYInDoKSX0tQxHExTiVew4tHj6WjSg/J/Z73jpNyk4uqqzZaarysPVigi17vcBIxE4IyvtZaa3mFmMmiVPDsCBI8MPgee1BUm6gO54XYK2nZM800k9/EZBJu9GFiKz1O31tDQAp5aziqFBEQARFomACWjm525cIFHAtTXvChhjurE0RABERggATwUmEZySeffOIIntZogCjiTaCMo8xaPme/rj14vcRN+vjjj7OvKDi4hyNBwcJizTFY0/OEeBJ5CnlQbjiH5TIWQT3vdG3rEwIrrbSSv9e4Fywdmdt6662r9syi8fs4Jkw2cZ9iJY8DquERlqeMU2C89hsPrSBMJGPUYlkGZVnO79z6ucdZbpUn9IFJASzoxFCpFdiNZV6WBtSxVtyyk9Rcb55Xl7ZpDbnugS4jwNpMyxfcZa0q1pzjjjvOB5LBmsja1G4Xgo5gaYjXq9FmBhpHHnlkxbrabu9PL7YPi0y3K7vd3r5evO5qswiIQGMEUA5Yx4q1juBoq6++em4BKEBYoFGGWEpywAEH+LXbBHhDVlllFa/0VBOWngRBwQmuv1gpcT2mfAJCbrnllrlF3H333bnbCTaHdw5LYLB+oiBVm1RAySIiu6U283Ex4ngVuYVrY9cRYAKJeCa33HKLV8gJzpdnJed+IE4JAQ2ZoGccicTW7pApKe0kk0Ms3QoSK+RsI8Cg5Sn3sU0INLj99tunRfh7OizjSneigNM2FG0yExBIkCUZqRAN/oILLvCbuV/lwZESKvjdXi6SPiZg7ixZHsE//vGPfdzTznfNfrAr8jB2vlX5LbAfiZK57Pn2mhtSdo+Y8uX/Jx8m+YAlIiACItBOAspD3k7ag1dXyENu7rqFK7F0htlvUZqH3IKqlchpzu+TuZmXbF1sbrmXXnppVsYuu+zij7H14tk2mzDPPY+NZg3MjqMec/XNjiU/9AwzzOD3kw/dPIcqyiEPeug3x6V5yOkT2/nYUqCK89lgyleJNobjHn/88ey4kIfclL3cc7Vx4ATiPOTkiy8qZon21yrNQ8755PgmZz37GW+RT9yU26zoBx54oGTrwrNrbZ4b2T7LHJJtJ5+4eV5k+8jnPXr06JJZ0rNjqGPPPfcsazb3LLnF2WdLPkoWEDV7bmiHWbJLtjY9KyPNQ05htCncizbBVYJNyCdO+ZZSNBtLkovcghdmbYjzkP/qV78qa5u+VBJQUji70yQiMJQI4IK0ySab+HROzHYSuCoIKTxYK4cVgtlcZnUlIiACIiACItBJArjCHnjggb4JWJBJS4XlLwgWRbIomBLuN+HpZUqW/5/ftJDKEPdc0lDZcDg7lwBvpBnbYYcdsm38EwfDYg27KRV+P27AWMzj9bukoho2bJhPS1VNyOgQ1oTvt99+PsBcnEf6tdde867sIT0a6d1Y4y7pTQIEcsMbAndz7iWuOcsViNKPNZwYLSE9GrEL2B+EgG4hdosp7v4cgrots8wyziaG3PDhw33kdSzkIWAcqdFi4Z698cYb/Xk8HyNGjPBjPp4l1rUfddRR3mtj0003rQqYNv30pz/1Vm8CETIupA+417Pcjgwj9I3/Sfs5//zzVy1LO+oQqNTRtaWfCMhC3r6r2QsWcmbsg5WBWXZzsS/de++92QyoBfco2YAlm9XFYm4po9oHUTWJgAgMaQKykPfH5W+1hRwqtpa1ZCnPyqyCtrbbWxljTy9Tdkr33HNPGUhzJfdWQhsS+w8WzdVWW6209NJLlywYo99mbuXeahiOwZMsFVOASuZq7o8xJcWfg6WS/9lm+Zqz81MLOWXZOviSLc3LjrFgbyUsj7QntlbahEOZNZVzZSFPr0brvuOxYMH9/OfRRx8tXLApqP4cc+eueo7FLiiZ67i/V8K9xV/uO3NrL9lSjNxz8bjAch+s8OFcC9hWshgIJbxGEO5JC1BYWm655Urmxl5Rlk36lI4//viSpffM6rfYCP5+sowCpdNPP92fz/dqgoetperz3pNxHxhH2hLN0ptvvllxKuNJyuVjS1Er9mtDOQFmCSV9TEAKefsubrcr5BdeeGE2aLDZ1pLNpno4qULOtscee6yEqyEvXgYxtv6ufSBVkwiIwJAlIIW8Py49iopZ0UoWJ6NwhywPuD+HD0pGNbEgVSV+b1EqYuXALJFeUclTDijL8px7JTxWfFGkUegtcJZ3Q8eVF5d0lOaDDz44twko+yhgQTGnDShJKDa48XIuH1tbm3u+BaYr/fznPy+ZNbGs/ZS3+OKLl8zS7ycfUjFrpS/XUl+lu/S9RwigHDP2QhHOu8bVuvHBBx/4JRQffvhhtUMKbefeQ1HmPh2I4K5ua859W2iTpHUExqEoe5lI+pSAreHIXEhshsu7u0gGhwABL8aMGeMDadj6n8GppIlSN954Y+++RKAb2hnSYuAeZ4MUXzLpLwgkg+BKhVseuZ4JjDNy5MgmatepIiACIlCfgFmnfIodBDdggmFJRCCPAG64BMMi8jquuEVTFJI5glzjpCgj+nm1iOl5dcbbSIH26quvepd4orBXC9JWqxyWh/Eby7m0Jc4fXes87RMBEegvAkp71l/XU70RgaoELKCHj0xLpM28SJnpiaw7YnBsLutuu+22S3fruwiIgAiIgAh0jABrZPPydNdrEPmUW7HWlQwUYf1uvTqr7Wc9Lh+JCIjA0CYghXxoX3/1fggRIAjH/vvv31CPGew0ek5DFehgERABERABERABERABERjCBBRlfQhffHVdBERABGoRIP/oueee66O5SkRABERABERABERABFpPQAp565mqRBEQARHoCwKkxCOtieU37Yv+qBMiIAIiIAIiIAIi0G0EpJB32xVpcXvIDUj+QETBQloMV8WJQJ8TIOAQEv72eXfVPREQAREQAREQARFoOwGtIS+InGD0QbEteEpXHEbUzuuuu8598cUXTQcf6YoOqREiIAIiIAIiIAIiIAIiIAIi0CcEZCEvcCEff/xxt+222xY4sjsPId3VVltt1Z2NU6tEQAREQARaRmDs2LHu3//+d8vKU0EiIAIiIAIiIAKDS0AKeR2+t912m1t22WXdN998U+dI7RYBERABERCBzhL44IMPHL9b7733XmcbotpFQAREQAREQAQKEZBCXgfTPffc43BXX2GFFeocqd0iIAIiIAIi0HkC//nPf9zdd9/tnn/++c43Ri0QAREQAREQARGoSaAv15B/+umn7uuvv3ZTTTWVt2w//PDD7r///a9baaWV3Le+9S0P5M0333Qvv/yy++qrrxy5luedd1437rj/f36CAc3nn3/uz0UWWGABH9hoyimn9GvJP/nkE799iimm8H/feust9+c//9lNPfXUbskll3QTTDCB3y4RAREQAREQgXYTYCL5qaeech9//LFbZpll3Hjj9eXPfbuxqj4REAEREAERaDmBvrSQzz///H4A8sorr7jFF1/crbLKKm611VZzWLsZnKyzzjputtlmc2ussYYbNmyYV7bnmmsuN2bMmAzw4Ycf7pXroJAPHz7czTHHHN5azvq86aabzp+LIr7pppt6pX799df3lvRFFllEeXtbfquqQBEYugR4z5xzzjlDF4B6PmACr732mv9tI6e8RAREQAREQAREoPsI9N2U+euvv+7eeecdryyjhBNlHOX6o48+ct///vfdJpts4m6//XZ3xBFHuC233NJhCb/lllvccccd5zbccEP39NNPe2v52muv7S3mp59+ulfYDzjgAK+Es+1Pf/qTt6xjBV9qqaW8Ev673/3OzTjjjG7UqFG+vJ/+9Kfuoosu6r4rrhaJgAj0FIFrrrnG7bjjjm7EiBE91W41tnsI4N3F7x6/VfwmSkRABESg3wlgLMNjtprg8TrhhBO6Oeec03vQYqTrVk8idBHe4ZNMMom7/vrrq3WpZ7f/7W9/c3vttVfW/oMOOshhCB1K0ncK+aOPPuqvHxaBww47zB177LGZKzou6CjLiy66qFfAg6BUM2A588wz3WWXXeaOOeYYfyP89a9/9YdgUd9jjz2y40MdDz30kPv973/vttlmm2zfRBNN5Ot49dVXs236RwREQAQGSoB3DO+u5ZdffqBF6DwR8JPP9957r/fg4tOLaTx1GTtHgOUPJ5xwQs0GTDzxxG6aaaZx8803X+aJWPOEDu78wQ9+4Jc2rrvuum733XfvYEuaq5o+bLfddn5ZZp6gcE466aRe6VxrrbXc9773vbzD+nLbfffd541xRQWj2imnnOJ5dtv78dlnn/V6zeSTT160Oz11HAaHO++8M2szS3+lkPfUJaxs7COPPOI3rrnmmu74448vO4D141i1ubHPOOMMt/fee/vZMeTQQw91vKBxPQ8SFO/llluurJxQB1arWBnnINamI7i3S0RABAaHAEtHgpdKozVw3vjjj9/oaYWOZ3DU6Ax7vfb88Y9/9IMDsj1IRKAZAjw3zzzzjB+kYi0frOegmTbq3O4kgOfh1VdfXbhxvLNQdjF0sCSw2+SGG27wCvnMM8/cbU1rqD14dV555ZWFz8HAhEfntNNOW/icXj+QeFKM72PhXcgSVt6FTzzxhI8L9e6777oddtjBx4M67bTTer3bPdP+m2++2RsyEZ7Ht99+2+tpQ036bg15UKJxMU/l29/+tjvxxBP9TOKBBx7o5p57bj8bxkPJTYDLyqyzzpqdFhTv1DIV6th1113TKnwQHWThhReu2KcNIiACAyeA4nr22Wf7oIlYYnieGegx8ca+VPB2wfuFFFAsZWECjSCMTMItuOCC7tZbb01PGdB3JuH2339/H5eCNlEHcSuwRsZCG5nc23777X2wyV//+tf+PRHOwV3riy++yE7ZZ5993BJLLOHTV7FUhoEUfZCIQLME/v73v7vRo0dnwUmbLU/nDy0CeFig4KQflgWy5A9lHIWHdyzvsMcff3xoAWpjb8N4lCpx0ca4FD4HH3yw9+5keWZYqvKHP/zBbbbZZv76DBVhfH/uueeWfc477zx31VVXeassqSKZOArWZ9zD+XSTMF7Ak/eNN97opmY13RZicoXleCuuuKLbYostfJlMHA816SuXdQazTz75pHfPWX311XOv5X777ecDvp166qmOGVJeXLiv82FfkPfff9+7nfMgx0o6DwOzN9/5zndyXUirWdVzG9OGjTBZeumlfSC6sWPH9q27SxtQqooOEmAWm8EGLmghpsNkk03m11IdeeSRfsDH/7GbGQMP4j3wYmdAwsBwl1128T++l156qX/xsyylGQsJQR+JPUH7iFux1VZb+TJvvPFGH4eC1FNM9CFYMrB28z5h4PrSSy95F0KsSAwMGDDgMkf8CQSlPQgTD3xkJc+Q6J8mCbC28o477vCTRPFvXJPF6vQhQID3HHF4qgljJ4wejLGwPOJ6yju6myzlTNKilDJe7GUJhiP6wJICghrnCWPBzTff3E+S3H///f63lDhLEue92vbdd1+32GKL+d9tlvfwO4wHbLfE3GA5LJ9+k5NPPtkH4EbQw9DhEAwdGEtZ5z9UpK8UchTOL7/80q233nqZK3rehWQAcu211zqCCGAhv+CCC7yFi6BtW2+9tT8lRFdPreNhOwp/nCaNc3B/wvXl/7F3HmBzlFXfn+v1soANQZrSlCoBhAQQkNAEVKSEUEIPJZgAQgIYmtI7IQSk14BAAqJ0kGJAQkTKiwhKEUEgICBFkPZR1PnO7/ie8d55ZuuzMzu7e8517fU8O+Uu/5mduU/7H8IA8eKVQbipLfTjT3/6kyrnLo5AtyGAIs0CYsyYMepZtlDbAw44QD3HKMAsNKh0YGLGMX7jhFqG+UhYmjkehb1Vhfz1119XZZwF59VXXx2NGDEi6fuEE05QMkleNqaQ28KJY5kPYVq2GESZRzmfNWtW0gbRABgJeUFhQd5zzz277bL5eEuOAFEbd999d7TsssvqYrRseZMlh8+HVwUB8pUxkBL1g6ERgyWcPhgeyyKtPvfLMn4bh73nqApE7n41ITLsqKOOSiLD7r//flfIU2AR2YYizrubqhSQNPMOryYY3yFawwCF7jH//PNrdBzv/LR+ELZBlC6eedYEhMkT8cf9OHz4cF2jZz2HWcdTbYW1Dym5WYKBiXZZ13AsofqMh+MZj+VoE+GC8d/k8ccfj4iaIo0BjgF0mRkzZqge9Oqrr2rFKfQmjBXtLOmMgxPnKML6BwOR5fwzl8cee0xTq/pFekohtwUvN3Vaxo4dqyF6KN9ceISQdV4WWBRh9ONlYQo5niwEb3ootTzgeMD4EfOD4gdWBgnDkvopRKkM2PsY2oMAuUUo3LwoUFLDHG14IQjthuyE37cp5LxEMLgh/ObT5CCQpCEY4VoVCCNRyjHmhco47W2//fb6MsObb2LPDl6QhMuFL91q46mWNtPqmP08RyALARY+3MuEDBqvStZxvs0RaAYBwoAxMj766KMR1SL4Wy2dj/UJXnTIcolQZOGPYo+xsp6X8t1339XUJKKhUIyInkI5ZYFf7RlPPyhGKEKsBbOEyEIMtyheRJQQScI7hr/k1DMfhIinUCixS4STKT6cSzs4RfC+EmHJvJZYYomsbhveFr7nUJiyFLmwMQj3TJrlOml4UF1+4F577aVKOdeJa5alkIM7BnIce1nraoijecdnRbQRlcSaxUij03Cxzrnooou0ZHMohNBffPHFGuWKEyAtKOHkv/MsTwupe9OnT090n8suu0zXKCannXaa6kJE6xFlwT67t8O2iHChnbRelO6v0e/gwNqH+9aItkn9M0GncoW8UTRLdpwteNNebYaJdQhrDCFUppDb8O0hFYYuQeqA4DUIpZZC7ovnCqj8iyPQFgR4sSEoC+m8bLaTQoKwiDPhd8qLkoUWpQ7TgrWZl0C18L708envLLZ4MSFhqosdx4Lt+uuvrzjNnh2EcqYXTpYvFY6HxSAvJMqcLL/88ukh+HdHoK0IwFWAUQuDdrhwb2sn3lhfIYBSTXQPLOY8j1FwshRyjJcoQsbBE4KER5DIKEi20o4O2kSBYB/hrWmhf/pGmYGrIxSUdTyBKFZnnnlm+tTonHPOiQ499FBNcQoFAyy52Tyrd955Z92VVsqInMI5g+JDIdhhbAAAIABJREFUFAoYpJUo3gGweaMItRqKbO85xpAmH64Y9P99IRrGpCxRnFnj7OQ2jDko0oT1o5TyXMTzbYIhhrWIVVJCn+DDvcnxpMPx3ub+IgouNNZwf2+yySZqNMIogwOQtQLfiVggeo5jKL+G8Wa++eZrCAp+P3ivMUxxz5NSwvXlN4HRgMjdtddeu25b6EjMBYMDehRtYLjB4cHcCC1HaSfdDq/5YIRnAfggGBJMyccIZ9JvxG495SHn4cRDN21Z4uJiiYFZknBXblJyabhxCQe1B31IBGfECWeccYbmffJQ5wbkx8LDEwtYWmoZBNLH+ndHwBFoDAHysBEWTVkLJ2slfEGYccwIQsKennrqKX3h4EEhpKsV4YWLAQACo0byIjkWjz3W7bRBkP5tvKFFnZcoL2osxO7NaOUq+TnNIoC3grBGorwaua+bbd+P7z8EwucdYbCkGYWCkwSOD551RGdAOMb6CoMkx6NEEhnF8xDPMwZKE7xqhx12mH6FIwSvMzmnRHug3PCs552BMkz5yEaF0reEdyMoRZDXLbTQQqqIkP4EOXBYkadau/SJRxSjAgoT7wvePSgjKE/sZ9+FF15YrYma223NyUH1FHIUKsMehbIRBa1m5z28k7UBCjlC6HeokJNXjjKO/gBxLPdrKHArcM8TBo7CzT1j6wx0De5z7iXWEOn1B/cWaxZ0FAw1GITqCe1BMM39RMg591uoA8GxQ7qIhYbXag8FGIMEUYmk/poQSUKUMdGG/LaYNzpVq0L0AY4JhP74PZlgDOY3x5rJFfJWEe7weeRhcEOSu5G2hDI0rLIsenmAUyKCGwoh5JUQUsJSeKCbEMKOJZQbkxyRiRMn6s2BFQxLTla5GCxa/MDqPRg7DJV37wh0DQJ4J/hdo2zzoqkl4UvTFirpUHXOrxXlUqv9cJ8Z7Br1sFuf5HKlQ4LxrmAdx2MShoK1Y5yNzqfacWbkGKw1vFr7vr18CBD9wb3Hb49Qx1q5kOUbvY+obAgQgooTAwXbysLaGJ999ln1jqFUoKxCxBmGj6MY42XGE004O4t4FBWE9kzJoI1LLrmkYupU39hss800lB2vJSlGizVQjpZ+rGQuXk5y4UNiKcKZ4S3JCg1OY8/aEeMW/TO/cN6sO8EDRxE8J61EpZghl3bfeuutijrO/I5R/vHwchwRW3jr8XpirHCpjkB4vcHQhAg9i9JDWU4r4xyH55uQcwzpPEOJtCAnHcFAhLBuSCvjbMfwA78MRifSHRoRruUTTzyhh+JATDskeX6j37DGgIennnB/h8o4x9MGkSgYjlivYGwYjDAeDBUIBrV0SgqcJijk/ca03jMecggKjAyg2o2C1ZU8cR5KLKix0mCpslIH4Xm77LKLhhOh6GOtQcnnQVarD254F0fAEWgfAqa8koNH+kjaU4wl+fzzz9dcQwvBYyHCogqjGQpFWtqRWsKzA0mPh20YEHix8tzgZcwcavVpHnvyzcNFmSnkWXlo6Tnl9Z3QTMt3zKuPXmuX90AnS9NklQBsBWPuSxb5GLnTRqRW2vNz+hMBDI0oOCjQYVoRaKCI8mzHMYLim5XLzTqMfG+epVOnTlV2d5R8SKg4F8mqqsOzGQcMbfN+CEtK1roSKB68Q1CYyHtPszzTN0oQChMh77WEMbDmTBsC+E4YO44f2sCZ02yurL3nrH+iPmsJKZlgSNnNLIdSrXP7bR8eYZPwGhPNYULUbDXBKQc/AHniOPVMIWcbEbdE/R1yyCHqdU5HWjQbLUFIOoLRvNo9wG+Q1IxGFPI0H47NES4G1icYGbLSQ6phkd7Ou5HfPQIesNunBYUcwwf6FimJvULAmJ5n+nvHFHIezlgGsV7yYCVsgTAaaiaGSf3pAbfjOw+jrAd/um2O83IwaVT8uyNQHAIsIqgZjkWWPCY8Eya8NHmY40FBcbSXEVZV8vesXnl6tLWU4/Sx1b6bZ5ywMxZGLPpMeNng6cGrY4qM9ZkVPVNtHyQtSBi5U208eW3HUk/+pkvjCHA/4PHrBUGB4l4mr5xwSBdHoBUELMc6NBaxzTy1eIuzcsutr9GjR6syyfncjygyLNJ5vqJo40lHYSBUOGSBxluY5vKoNX7eG3i1EUKHq3mtef4THk/oeS3hHZRWxu34cL6tKDhEbDLeRoVjMTbgjQzfo42e30/HhY63MDrM3sncdxCs1RIzehgfFcdigOGeR/8hTJsPhngi+fBK8ztolsXcwrpxWITrkPTYGiFiQ3Gvdr/SHusxi1pMt9/od9ZsOC0QSB+zIppZ85kwP1fIG0W3heNYxGKFMVIEawKLCDkWp59+uuZsuzgCjoAjgLJNjhSKIYsyPMZ4FFhcGAkVYVYm1RRc9vMiQGFH0ay1AKyHOi8/lGu82IyPfEMs6bCVEhqJ1dtYQ1HQeJHzgs4i0skyEJDLa15WXugYLRth0a03bt/vCDSLAItHjGHc83guXByBZhGgzCQSKjeEaxNOjfC8y2Kztn5C77bVKSZ9kDxW1ow8K2E/57lOmDnEUyg4ae9jvXETRsv9jmRFV4Xn8x6qp5DX4mEISYRNQak3vnC/vTfYhleVUOe0oOhjVCP/nlxieEwgnGPc5LS7ZCNgdbHZGzoIjeCP+5G87EaEa8vxKPEYiIxl3RR1ws35UGLNOGYgOMyK+sjqjyheJB3JkT62mnEpPI4x1kpRSpPRpvuo9x0HrBnISGMh4oVPWljvmKAv9su9WriHHKABlwcxF5ebDpp/tvOQwIqH9fPzn/+8WihdHAFHoL8RYKEBsQqKLosJE14chN9B2hMS/dTKvSaUHcUZS3RWuHkzSF9xxRXKmMqLFEuvhbkRekj0D6HeCC+UZj32RhzJS5s5syh47rnnmhmeH+sItA0BvJkQmrLARxGp5YlpW6feUE8gQMippfiQImgSspcTxmulZutNOjzvhBNO0Pz0U045RY2tfFhH8kGpoToFeeSEhzeikMCgbVKPN6ORiJE0K3w4t1C5SbO018OA/fae4/+sykJsR0njA0kZ62wLsyfsv1+UnEawDI9Bebb0U97h4T1rx7E9K9S6Wl+hkksKEM9SPrCMQ1yIcYWoKlKECEHnwz0dEk1Xa9s88WZIqnac/Qar7c97O/ML58N4IbGrJ1nl1+qd0637C1fICS1CGccSQ85QSLqEUk4YEBfAavs2G77RrRfCx+0IOALVEYD4g6gZPOI8P1gsQZCWlXrCixJFHTKdtLAwwdtnynJ6fzPf8b7grSHEEa871m28iOlcQPqiz5B0LuxnypQpGvYeeh9ZrLFAZWEJqYyXPWvmyvixeSEACReM1Ri0QiNYXv15u92PQFhqK0zZCZVQyjxlPa+zZh+Gs2IYIjoJ9nCUG57FVAkwDxvPZT54kGHNrlf3OzTS1ss5r7efsQ/Wo5g1f9tmHnJy3Ql7rie8X/DY4yXH0ItherBG6Xp9duN+CPjs2oYOAOZCWgTebLA78MADBzU9DCR8IIfDkMT9Cd8AxnyM++SYw59An7WEdQhrhNCrn3U8172TQiqfEbkR8YiuV0vGjRunOeT9ROxWqELOTWYWESwlaQZkYyfEAk8YBiQEITNlrYuXtQ+LEKE65Ps0Ys3MaqPbt4XWZH7olA1xyQcBFqsu+SFA7htki/WkVqghuUjtzEdiQUh4JJ9qArlbWIs0fVy10DRyq0aOHJk+3L87Ah1FgPBjDGNwvkCm6uII1EIAxmmTkL05XJPBk4G3u1Uh/JsSU3wQlCaUcxRxFvR4vlGgjACrWj9heHI6pTJ9Ticjlig9BWEYQm5wo4q/eUmJKvAol/QVjbSkl5W7w6uNUhgKugkGJpwCeLhRqKsJHm4wxghCJB2GTEK2UUpxJuApN8G4SV4/H/QgWP4xCmA4qbV24HzWD+g53A8QcVYzOtVLr6g2j3ZsJ6XEft9EHJDaV8+gS3oi5HdUM0jz9LRjTGVso1CFnJudkAykWg1EHi6E+ZBT1CzbYDWArfh8tf39sr1WDed+wcDn6Qg4Ao6AIzA4BFjYY9z1vPLB4djrZ2O4sXKVeGjDdR/KL1FDKDdEENUSjkGx5xw86UQ64fHDS4wSgjcxjKbEY8wHkmCiizj2nnvuqdWF7uMcjEw4hBg7od1ZgnffyN+y9ue9jegpizCoFq6eHgMeWFK/kGaU+HQ7vfodToNRo0Yl3C1w1lCZKZRtttlGOQsQcvLRLbKMIbCZQ+CGwJeFQs71ojwf3nWMRKFCHvYRRtKRultPiBxE+UdppU8ij9N54Nz/pNV1Soh4Np6EyZMn11XGGSe/WxRyQtvx/g/GOdupeTfbb6EKOUzq3Ch4yu3BkB4wHl0LF8GzFBJfpI+t951FA+3Rb1Zps3rn98J+WEmt9ieWtyxGw16YZxnmgBW+Xh5PGcbpY/gPAoSbVysTUg0jXpaNLOyqne/bHYFeQcDyynnHohR4KaVeubLtmQe5sdtvv33SGKk5ofLC/5SHpHYynkC811l1nWkAgkyOQ6ZNm6YKOYo+UZQIUVGQuqUFTzDrSBQS1oH1hDGhxOMlnTVrVkSZq6wyUBdccEFS+7lem3nsDwndsip3pPtk/lT9MIGItJ8EDhdSGUJBQWQ76Q3k4+NBtuoYYMr9mhZIWYnCmD59uh4P+z/e3rCmOPeNrSt4JpKmi5DLDy8W9y/3OqS0XIfQkISiDvM6gqc7XVM8PR6+o6jSDqSIEKYRhQLfDufi2Lzuuus0pQMPfSeE36mVi8MIwW++EQnT9MDFFfJGUGviGPLGeXFTUxIrExcmrSjDlozCTqgHD2kPiWsC4IxDCY+xEk2UW2ik9EFGM76pAQQgSaln6W+gGT+kIARYqIWLlEa6bWRR10g7fowj0CsIYFzHW0heefp93itz9HlUIoCCl1Zw8NBB+kfoLO9BPLImKCVZJGKEkaOgkCvKs5i1X7hgp01IMy26D1Iy249yg6JhRMAoSGEIMQYjGJyN/CxLsc66rhMnTtRSmnjlUL5QnBgbSheM5RgG2NZJCQndyDEO84fBEOULXPD0c53AGOUMgeyuXv5uJ+eWR9+kF1ASr55gkMGIdPbZZ2ukbpacd955mgJBVahLL71Uy5iRvoPz0PLzOY/8fI4N70m8w+g/jIfoC+4lFE/Ct3mOEnrOfct3yqo1muNPiDvkiYyHyA4+oaBP4Z0nbRUpyjGHgWOfffbRPhkD882KKKgY7P99CaMTUMj7IX2vUA85OBPmQZ4EOT5YofhO/hA3IzkDluNDuIgr41m3qW9zBByBdiBAxAiEKi61ESDqA0+TiyNQDQFS0VDKeacvvPDC1Q7z7T2CQLVyRenpoVjg8avGSE0+6c9//nP1QnMPoWQTNk5YOhGOVMWwXG64P1gfmpICazqKOsoyygjrSHJ88aQRZUn94scff1yHhFJEWHsjgmKFck+eL+3ut99++mG71f1mLOQG4w0tmngYI4WxgDOfrFKaWfMkOpV5DCZXP6vdbt+GYZ57Zvjw4dF2221Xl0CV+wCDE55xvOh42C0tAyxQOGkLow2KeijoNBhTMERB4IZiHzL741FHP+IaheSF9TBG2UXZRmk999xztQ+MY3jlyTFH+cfoZQp5vRJp9fprdP+kSZO0RC1CNAspTo0Kxjfmxf1utdYbPbdbjytcIYfIjXAKWJN5WIYhTQYiNzM5ES6OgCPgCDgCnUOARQNeIkg4LXeuc6PxnsuMAOlREB6RK8zCq1FPSJnn5GNrHgE8tiymWeuhLKPw1BIjpUJhJv/V6jLbOXjzyO1FsU8TcuL1w3NNTWjIn1BEQu8xyhPOHTz0zSghGAVQAggDxgOK1x9lnLkxFgy5eNJRyJtptxYOje5jnsbFVO8cFBowI4wZHBpV3uu12y378VhXKymHIaUesVi1eWIUIl+bD1WhIPQlAoGcbzy7tZyJ7Lvkkkuis846S+8xFHrGyL3Fc7Na3jjeds6p9VzFsGWRILQZHhuWGAtD7Jkj+ha/r1ptcxxpfkRgNJqehCHO0kqajS7ECUA6FPNoNFKg2vXqlu2FK+QAY15xHpKEaJjAoswFJB+i0QveLUB3apwhuUOa6KFTY/J+HQFHoDsQILyOF3BYuqg7Ru6j7BQCKAx4Zyj/V7T3sFNz7od+YXvGy1ZLUCZaWWfgoURhINQawjJI3FiIsyYkza6aksJYIMzig9LMvQd5MOmRRgBXLTyXcG76qBb9g9KCp5IPxibCb0MFzpTitHLDmODtoe1qfXMM8zI8m1EMMRbUuw52jVCC+kWZybovizCWDBkyJOLTrHDNiehoVNCJsvQijFhEjlAClhQOu5fSyrUZqtieLhdLeH61EP1wfLV+h1nzGGwKUxHXL2vcndrWEYWcyVqpIHJyCFfnwnGTpG+iTgHTK/0utthi0eabb65kY1itXRwBR8ARcAQcgTwRINSXEHai3fptUZUnrp1sG2UgS/ls55hY8GflmjfSB0p9M8RPhLxnCd52FHAIqFg7IWlliDBavIVIWrlhWyP3PIpyK3gWcR10Yi5dgQBRENROR0gXIhIiLXjxISJEuK8buT/Tbfj3/BHomEJuUyOcqV5IU/4w9G4PPPQJuXJxBBwBR8ARcASKQuDtt99WpZx8YPJtXRyBbkCAMGfy2imzBlFhluIOOZXVISfn18UR6BQCkNXheCNsnghjCNC4J9GrCPkmuo1QdyI6iAbx8sedulL1++24Ql5/iH6EI+AIOAKOgCPgCHQbAngSCZVkYUhpqlbCmbttzj7e7kZgl112UYWctAu8iaRQUkIKZWb27Nla8srIsTA2USbNxRHoFALcl9RDJ5rjqaee0nrjWTXHF110Ua0eEJYT69SYvd9sBFwhz8bFtzoCjoAj4Ag4Ao5AGxAgXxfSI0i2XByBMiNAOiVkbnAdQTCXFQLM+CkdBjmX8ySU+Wr2x9hIRyUsHUMSJc8od0yd9bnnnlu95xtvvLF+qvEl9AdK5Z+lK+Tlv0Y+QkfAEXAEHAFHoCsRgOXZCd668tL17aAhx9piiy20FvRvf/tb5TlCCAO2WujrrLOOcx717R1SvoljGKJsGx+X7kTAFfLuvG4+akfAEXAEHAFHoNQIeAm0Ul8eH1wNBCBro0Rv3gIzPOzyq6++et5defuOgCNQYgRcIS/xxfGhOQKOgCPgCDgC3YYATNCrrbaasv66OAKOQDYChBVT+oq/jzzyiFfCyYbJtzoCfYGAK+R9cZl9ko6AI+AIOAKOQP4IUMIUdurB1qDNf6TeQ78jQG1xyqx98MEH0YwZMxqqxdxOzB5++OHonXfe0Sa95G87kfW2HIHuQ8AV8u67Zj5iR8ARcAQcAUegdAjA5IvHj3KbLo5A2RH44x//GN111106zGeeeSYaMmRIoUOmRBVC/m8zNdQLHaR35gg4AoUg4G/NQmD2ThwBR8ARcAQcgd5EAO/e17/+9YiccRdHoFsQoHazyUILLVT4sDEIIMsss4yztReOfmMdUiEijuNowQUXbOwEP8oRaBEBV8hbBK6bTjv55JO15Myhhx7qYVHddOF8rI6AI+AIlByBT37yk9E3v/nNaIEFFij5SH14jkAlAqaQf+ELX4g+//nPFw6PKeQwt7uUD4G//e1v0VJLLRX9+9//1giKeeedt3yD9BH1DAKukPfMpcyeyOzZs6OJEyfqzhEjRkQrrLBC9oG+1RFwBBwBR8ARaAIB6twOHz48+vSnP93EWX6oI1AOBJ577jkdCKkWnRBqRyOukHcC/fp9XnnlldHbb7+tKTj/8z//U/8EP8IRGAQCrpAPArxuOPX9999Phhn+3w1j9zE6Ao6AI+AIlBOBJZZYIlp55ZV9oVrOy+OjagCBTirkL730UvTqq6/qKF0hb+BideCQadOmaa/rr79+NM8883RgBN5lPyHgJp9+uto+V0fAEXAEHAFHYBAI4CmCuG3VVVd1ZXwQOPqpnUfAFPLFFlus8MEYoRsdL7/88oX37x3WRuAvf/lLdP/99+tB2267be2DS7r32muvjb797W9HsPm7lB8B95CX/xr5CB0BR8ARcAQcgY4jMOecc2qIunuLOn4pfABtQKCTHnLLH//sZz/bsZD5NkDYs01cccUVSub2qU99Ktpss826bp6U09t9992j1157LRo2bJiSbrqUGwFXyMt9fXx0joAj4Ah0DIGPfexj2rf97dhAvOOOIzDffPNFa665pi5QXRyBbkfgjTfeiPggnfCQP/DAA9o3vD5eg7x8d9P06dN1UBtvvHFHCP8Gi8iZZ56pyjj31qhRowbbnJ9fAAKukBcAsnfhCDgCjkA3IrD99ttHLBz32GOPbhy+j7lNCCy99NLR0KFDXXFoE57eTOcRCEPGO1Gu7ze/+Y2CQIUCl3IhwL1hEQzdGK7+7rvvRqeccoqCOnLkSPeOl+v2qjoaV8irQuM7OomAWa47OYZm+/7oo4/0lA8//DCxvDfbRieOh0XU5B//+Ef0mc98phPD6Ls+ycXtRKmdZoAm1O3uu+9u5hQ/tocQgF14tdVWixZZZJEempVPxRGIEoWLsn2LL754oZC8+OKL0fPPP699rr766oX27Z3VR8C845/73Oei7373u/VPKNkReMdfeeUVNaBS7tilOxBwhbw7rlPfjBLlcKWVVoqefvrprp0zD3N7oHfbJJxcptgrBjHWb3/7WyfHKhb2XHsjBBWPcqfk3nvvjd58881Bd89idK211or46+II9BoC5gHFO47hqUiZNWtW0h0GL5fyIEDeOOXOEEoFzzHHHOUZXAMjwTs+efJkPXLzzTd373gDmJXlkGKfQmWZtY+jtAj8+c9/7mplvLTA+sBKiQAsrkSDOElWKS9PS4OiJncn63K3Q7n48pe/HK2xxhrRxz/+8ZYw8JMcgbIjYAp5J0qOYYRF8MwvsMACZYeqr8Y3c+bMCIZ1pBvD1c8666zEO37IIYf01bXr9sm6Qt7BK4gla/bs2dHcc88dzT///B0cSXm6xjppMmXKlIiFYbfIBx98EP3pT3+KhgwZ0nUkWM8++2xE6N6CCy7YLXB39Th///vfR8cdd5zOIbznu3pSPviuR4AQRxQUPk401fWX0ydQA4FHH31U9/K+LlpMIcfo5VIuBM4991wd0MILLxxtsMEG5RpcndG899570cknn6xHwQxPyplL9yDQFwo5LIn33HNP9Mtf/lLrpyJbbbVVNGPGjIg6fYTlFS3nn39+tO+++0Yo5cgyyywTPf7440UPo9T9UT/xa1/7WqnH6INzBFpBgFI3Lo5AmRDAIIeC4Ea5Ml0VH0seCPz1r3+N/v73v2vTRXvI33///eihhx7Svj1/PI+r23qbsJJfffXV2gAlw7qtusjZZ5+deMcPO+yw1oHwMzuCQM8r5P/85z+ju+66K8J7afmxeKTuuOOOCAKrFVdcsXDgUcLHjx+vYxo7dqzmj3rYUuGXwTt0BBwBR8AREAS+8IUvaH1xJ3T026EfEHj44YeTaRatkD/44INK/Iq4Ql6uu23q1Km6LiftZ9dddy3X4OqMBt6Q448/Xo/aZJNNlIvJpbsQ6HmF/JFHHoneeeedaJVVVonmnHNOvTqEFWMdRUHvBGHNLbfcEv2///f/NKTknHPO6a47xkfrCDgCjoAj0DMIUIMZcsF25J73DCg+kY4h8Ktf/Uo9k+uuu25uY7CQ8fnmmy9adNFFc+snq2EiMxEqbDiJahZCndmGo+6CCy7Qzomq7aZ0ScZMCtzrr7+uv51jjjmmMyB6r4NC4H8GdXYXnAzjLBIyWdrDuFPWSUgjkPXXX78LEPQhOgKOgCPgCPQaAuSIEyFGmLor4712dbtzPlRX2XDDDaP11ltP10ehJ7udM+pkDvett96qU/nWt77VdSHR7bwGZWsLQ8mTTz6pwyJytZsEDqDTTz9dh4xn3w093XT1/jvWrlXIeagRloF1E1K0lVdeOTrxxBMjQtRDyVLI77vvPj3E8snteELbeRlQd5CwIoRafhA7nHDCCdGrr74a7bjjjtEXv/jFiNI2hLwjvDR22WWXaMkll4zIDf3KV74S7bPPPnpuKKeddpq2NW3aNN180UUX6Xdy210cAUfAEXAEHIEiECBajHcPJZ9cHIGyIEDq3te//nUdDgoSazRqdrdT/v3vf0cPPPCANlm0U4awYiprIHDkuJQHASNzW2SRRbqOzO1HP/pRBDcB1T2OPPLI8oDqI2kKga5TyP/1r39Fe+21V/Sd73xHidp4oBJe8swzz0QHHXSQKsahZHnDOQ8JGS6vu+46VcRR1n/wgx8k7IQo9IRQoXyvueaa0c9+9jMNNYKBkb+UGCAcHiV76NCh0d57761EZFirCAN8+eWXk+E8//zzmjsEcQQEOlbqiAeAiyPgCDgCZUOAMoSUfrn99tvLNjQfT4sIEKbL+xPDsosjUCYEUChQlllXcZ/CbdDuOtCUO3vrrbd02kWznLOWNKdRtzF4l+k+afdY/va3v0XoAAje8W4ic4Mg8IorrtCx//CHP3RSznbfHAW213U55CeddJI+rLGc3nTTTYlS+8ILL6jX+rLLLouwFsFaTj4FIVA82PFaI2+//Xb02GOPRXPNNVe01FJL6TaIHL7//e9H5NJdf/31FczeptCTW4LC/r//+7/qBScHnP4xDiy00EKqtC+99NLJpZs0aVJ0wAEHRIcffnhkljfKEWAM+OY3v6nj90VugXe6d+UIOAJNI8Czi5c9xkRfQDYNX+lOWGKJJTSaDCJRF0egjAiQPrHHHnsoyzXe7E984hM6zFGjRkVwAh188MHRDjvs0PI9bA6Zj3/84+pEKVIsXJ31qa1Ji+zf+8pG4Lzzzos++uijiHui28jcJk6cqL8TSifvv//+2RP0rV2BQFe9lbFiHXvssepd/vnPf54o4yCNUjxmzBhdNKJ0IyjTEDWEYUmEC+FlZxuLEsLc+QGSs4RlNl0VTFR4AAAgAElEQVRmy0Le8Y5fcsklqowjWNBQ4pFf/OIXFco42yhpxjhvuOEGPcYkK4S+4oA2f8EYwZg/9alPKUYujoAj4Ag0igCLFMT+NnqeH1cuBHhfwaNC1JYr4+W6Nj6abARQzE0ZZx2HMvvEE09Eo0ePVodGOiUwu5WBW83JAgu1Ef0OPCqfLbfddps2TISKSzkQwLl2xhln6GC23HLLrqp4hAPRSAIhcvNyquW4p1odRVd5yFF8KRmGdTRLucR7HkqW8mvb8BJghYXlnDz0m2++eUCYCqFFlmtEDjkkOCYo2uQ2DRkyRM+znPOwf0ICX3rpJTUK2Ln2MghJ5lq9eI2cRyQAEQEsqL/0pS81coof4wg4Ao6AI9AjCLBIo6QZ7wIXR6AbEWD9REQh3Dys4YhUhPNnq622ano65iEvag1mA2QdNnv2bP3q+eNNX7bcTrj44osT4w4h390irOlJ00XQQ9Lput0yDx/nfxHoKoXcwn0atS5m5Y+bQo63G4UaD/Jzzz0XkYeBkh4K4VEYAAiFD8PROcbG8uijjw44L2yDRVCoyFv/aUK5PG/KLONFnv15246AI+AIOAKdRwAjLHmy5mns/Ih8BI5AawjA1YMyfc011ygb9qabbqoNUcb2zjvv1JB2cs5rCWzUTz31lB6SZ1m1rDHYmpFoxbXWWivrEN9WMAKEek+ZMkV7hdW/6BSGwUwXkujHH39cm8AZ2U1574OZdy+f21UKOYozkg4rz7pA/NCwonKTDhs2TA/BU20KMbXJqQfOw5w8cG7uSy+9tKIpY2OHzT0tZukkV5zSMdWEh68JBgBy3clVd291NcR8uyPgCDgCjsBgEYBBHcbq0CA82Db9fEegkwhwL48cObJiCHgGcb7AHXTYYYfpeq5aGT/WfAj7i1bIMSQga6+9duGh8p28ZmXum2sCcSlCLna3CJwuxqYOt9VGG23ULUP3cdZAoKtyyMn1QLKs/T/96U+jnXbaKSkhZkyaeLc/85nP6HlYRmE4RxlGWacOJOHvhPTBnk54eSjmYSe/PC2QPyAo11jW0h9YPCGVW2655ZJTf/Ob3+j/RZfaSI/dvzsCjoAj4Aj0JgK8m/DAYSh2Zbw3r7HP6r8IbLHFFqpg//3vf48mTJiQeDyzMDIiXcLVqZJTlFBtx9Z/5Cm7lAOByZMn60DQE7qJtHT8+PERTkUqEJx55pnlANNHMWgEukohhyEW+cMf/lAxcZTsAw88MJo+fbrWAkey8sdNwSbk3RguP/e5z0XbbbedliMjnzwUjsfDng5l5xgLbTGSjvA8GNfJbYJlPSzZkTWmig79iyPgCDgCjoAjMAgEICD1NKVBAOindhUCMEv//ve/1yo4EOnaOjE9Cch8CW1Hila+rrrqKmXCxnCw2WabpYfm3zuAwMyZMzWyAmGt3i3GS6I8LNri0EMPdbb+Dtw7eXXZVQq5lSMgLAm2TeThhx9WggwskIQs2cM4S/mtlr+95557altnn3129P777+v/VjINDzdKe1p222039axfdNFF0amnnqp1yvGww9pOiDuK+OWXX64vCJOiCd3SY/bvjoAj4Ag4Ar2NgEVv9fYsfXaOwH8RgNQKYl6iKDfffHPdQQoiXnBC2v/617+qk+aNN97QfRtuuGGh8FEVCCFMft555y20b+8sGwHSTRGMl1tvvXX2QSXbyv1NSgZC2eb99tuvZCP04QwGga7KISc0iRqUMJ6TR/7pT39aSddQfsmnQFE3ySJ0y9rG8YSrQHwDYQg1d3feeefMkmkh0IsssoiWXtt+++21xBkfE7zvvAyoN27ywQcfKHEcOeW1cs7DPvz/ciCAZZ1ws7vvvjui9B7fF1xwQQ0Lhb24Wyyr5UCzchQQJ/JBIE6EuMfFEXAEHAFHwBFoFoHwXfy73/0uInUQFm081EYGDNFuVtRjs301eryHqzeKVHHHkdJ60003aYcotd1ixKS02V/+8hcdNw7E0OFXHHreU14IdJVCDgjHHXecKsG//OUv1Sv91a9+VR+0KEihcONC4haGL6GwU8oMspu0nH/++RGM6Rbqh/WJvHJIcaoJVlZ+HNQChPWT+q486Nme/oFTooA8d7zqWTnw1frot+1WQ555kxuDoWWeeebpGAzcZxhbIP/LEizzF1xwgdb4dWkegauvvjohJ6EMoSvkzWPoZzgCjoAj4AhUIsAaEGcNEYw4bu644w49AE6gaqRveWBIuV6M+KQ/jhgxIo8uvM0mETj88MNVP6A08ZgxY5o8uzOHQz5nOe9wX2VxW3VmZN5ruxDoOoWciaME8akleNPTYqFM6e18R0kPFXUUcj71BAUbA0E9gViulZqZ9drttf3k8pugkFOe7vvf/75aMb/85S8XOl04BQgPIvermmDEWWeddTQ3zcn6qqHk2x0BR8ARcAQcgeIQIIISB864ceOic889Nzr++OO1cxw4J598crTqqqsWUn4M7zzCOoEyuy6dRYDICcvBhlmdNXzZBeMB62AibYnw4P516T0EOpZDTo423k/qceOVRhnefffdlZzDpb0IhLU329ty+1sLveFYlGGSPOWUUzQSgvvDSlS0v+fKFglR33vvvRNlnFIlkIBgaScf7ayzztIHI8JDEmJAoi9cmkMAxlnIGPnAy+DiCDgCjoAj4Ai0CwHSC/GEotQQuUhkJYoY73QI1qwuebv6C9shXH3WrFm6KctJlEef3mZtBCBC415YYIEFoh/84Ae1Dy7JXtabv/71r3U0GJnmn3/+kozMh9FOBDriIScXl4fTq6++mswFJYci95CkHXXUUUrQ5jJ4BN58800tvYay+PTTTxfuZR7MDG699VZNByAk/L333tO/3B/UXCT9IM/wZu4/U7DJFadciqUhzDnnnBHh1eQ8UzoPoS49D0zK36WFPDb4CSD9I+cHzoKwHF54/CuvvKJGCITyfHAOcN0gpGE8nLvSSislpxAK99xzzyXfF1544QHpEhAVvvjii3oMRo5FF100OR7v/wMPPJCE5FOlAM8Bx6WFORomGEhYyPBbJl2E8KkwFYPfMukcLEgg1uEYjG/pUEFeLKR6IHPPPXe6y+Q7RiVyzcnhZ3FFW+CTJeABLuQTwufAyxf8SDsAT2ehzkLNtzkCjoAj0JsIEDaO8L7edNNNNf/W0g15LxhJcLtnT5oi7yLWDq6Qtxvd5ttjHQb5HwIfFWu5ssszzzwTHXTQQTpMoiyI+HDpUQRksVqoiIczFtbyWOCM5SEVb7PNNrGEEsVSPzKWxblu5yMhRoWOq1c7k5dNgul9991X+mlKffhkvI899piOV5TUWHJ+4i984QvJPu4RIc2LRWFv+5xE8azo56677qrax+mnnx7LAz4Ww8eAYyQfPhYG/1jy2CraY+zCTRCLMjvgnJ122ik5VvLX9fdhvwn7K8pvLDVX9VxRqGMxDCTHXHbZZQPa5Pdl50raRrL//vvvjyX1Y0D7osTGUlpjQDuLLbaYHisKdHzdddfFYlxIzhUDhh4vC5tYSgIOaJPzRCmPxRNe0S7X1cYmRo4BffK8ECNHLMp1RZt8Zy5iyBtwjli+9VgJWYwlpSAWEsWKc8XYEEupHMWuU8K1tXmLYbJTw6jb7z777KPjFCNN3WP9AEegHQgI+Wry2+D37+IIDAYBMYTrO4vnmHAFaVNipI5POumkmHeFkPgmzYvBeTBdDThXyIe13/C9O+Ag31AYAqyduB5izI/FyVNYv612JMacWCI5kvWMPw9bRbI7zsN7VKhsu+22enOhlKcVRClJEQs5lu5H+eqGH0yh4LXQWS8o5DZt8TTHQtCiD1NTZvhrinm7FCxh2k/aR5kWQr6mkefeFU92xTjDMfM/BikU21BChVxy5pOXhymZ1obk1CennXbaaUk/Ulaloj0wEa93sv9Xv/qV7pc8qlisw8l2Cb+vwFU82bFEBVS0ZQo5yrB4vSvmJqylsZTkiMX7nmzH6CC1YStwYGEkkQRJu7UUctqU/K6aGIKReM8rxmlYga/k7OliTDz6A9oSr0nFeUV+cYW8SLS9r25CwBXybrpa5R/rGWecoe8QDLEY96vJCy+8EEtJsli4g+J2vBswuNv7+oYbbqjWrW8vCAFJOUyuh/ADFdTr4Lr5yU9+koxZOJUG15ifXXoECg1ZJ3RHFBB5RkWaw0NobCjk5MJ2vvzyy2u9yJEjR0bk/7QqhOpS3kAUCQ1z7UchX8oEUpOyk4q89tprVS8T5Bvjx49XcosLL7xQiS0ITybfmzA0wrnZtsEGG1Rto5EdpE+YkGeUDrNupA3ylChzh4A59zXs+4RwH3DAAVqGBeZ9UcA19Dvr/iQ8G6Z/yAAJLSennVwihN+RMW5SZ5X+CI0nbJ72rLoAZHOWd0+pQGPmJOSeNAAE4jqYaJknZf8sH57thPKly7rJUy3it0XYH2H7EtWgJIszZsxIwudp4/LLL9f2EfFGaB+E6hP6Xk/ogzaMdZ8QdYh5mAOkLOSbSwSF5vMzf2PQDdsFX1h2//CHPyhHBfiQN2g8FWKc0GeMiyPgCDgCtRBgPWLlhiAX5b3QiFB9hWcYz1CJHGrklMKOIQyWErK9LhauTrhvrRrg8Bqx/iCVkvByyN9uvPHGzPStRjAjvQ7hXrGSa42c58fkg8CPf/xjbRh9gDVD2YVQ9UMOOUSHSf161mwuPY5AkSYDrJMCp36yQmJtLISa2nH+9z949SMOoSc16z4VRvb4wAMPrLhXxICTdWhT244++uikTVFsmzqXg4X4rcKDLKW9Ktpg3GGYuRgRkv2hh1yUxYrzHnzwwWRceI5DEeU52ScP8WSXRaRw/xBejxD2ZPeTsP9r+F4oFtbFMZJfnuwyDznbCcVPiyj/SbuSqx2PHj1aQ9Szwsrt3GoeclGwK+ZK2GEokqMe48W3eUh+ebI7jCZIW8JlAZqcI4uu9BQK++4e8sKg9o66DIEyeshPPPHE5Lkhil3DiAqnh55H6HKZhMgsxnXbbbeVaVhtHwvvHjzjzLURDyMRZGLY1+M5z1LDmh0Y6WoW3SW5ys2e7se3GQEiFGytIHXp29x6+5tLh6qLk6X9nXiLpUOgUA855E6QReEpN2uz/EgqBOIr89xBHCWh6+lDGv4uIbSRhCGp93Ew7TTcYQkPxJNJaS5kmWWWiSgFUmbh2kMIhmR5jW3sEJHh8beIC7YzN+EiGPT0jD2dhsIIg0YbhiTGzoPMZZNNNqk4lW0bb7xxQqQG4ViWpEv7hXjA9h6K5Pqq91yeMEp8d8QRR6hH2Mp7UHZvxx131FMgRzPh98i5ofAbNMHLv/LKK1fs50tWibc11lhDPebMn/uOknV8EOaClwCvO0Rr9UTy25NDaDftkeJexluO9xuR9BeNrElLGsOQxT+NYfpc//6f6wYOaRwdG0egnxAIn9FEIRGVJalSNSGASPP555/XY7KelzVPznEn0VaQoiIQW0FEmo6CyrH7Qpu+9NJLE1K1RsrOQvpGBJYY0bWKiq0bp02bpoSiVHrhXVpPiDSz6C6i4Fw6hwCldH/4wx/qAIiUo4Z32YWSv8JdpMMkunDxxRcv+5B9fG1AoFCFHBZmwoYIbRWLs4YFhSHUvCgIZUep4FgW5eECug3z7bsmCJlDSUJQjtJpAmUDRLzAiQJo7NvhGCkhwr1DKJmJ8BFEQsyii4u04tbK/ML684SvoaDCEp4lKL6kVXzve99LSlGgCJvwQs8KeQ+Va2NVT7effvGHLObpYxkziwnCsAmLh6EeoxeKMYIyjkEMsYUC/2M4OO+883R7lhDGlyVZeDA+QscJhSQk3/rmfIxCfMRLr+kG9V6KIYbVwgzD7eGcwvE2g2HWPPt9G+khpDkQ5ufiCPQrAqaQm0OBdxAVQGpJqMSTclMWIZXo4Ycf1uHwviWkm/KTvShCcqrTwgBe7T2SnjfXOFTeeUfyvmJdOmnSpOjYY4+tG/LMOw6hQgvGY5fOISAcAonzgzQ/rm+ZhVQ8Y1Xn3euh6mW+Wu0dW+F1yCVEVcsckfs7bNgwzSvFEoRFkZvP8k7JFXZlvL0Xu1tb40UoIUfqZRg+fHiijGPM4X7iXhJis7Yo42CE5yMsh2Ev9TR+lOI65phjNJ+ZElyWqxaW40Khz1K4wwgRchKzpNkXBznmJvyesOqb4Jk2CaNFULTIAa/2kbDzrKFp+bYsYe6UesE7BB5434XcLTkUazW1PzG+1ZIQQ3KpsiQPDLP66fdt8BFkGZX6HReff38gwHPeoobM24lB2KJzqqEgoffJrrJ4yOHVOPLIIyuGHJb4rDaXbtxO1BQcQki191gj88KQjWGSKALug1133VXLmFYTjB1mjOFYl84hwPpLUhB1ABhlyp7LT1SvVNbRKGEiNDDs9Gr0SufuihL33IkgeiGDqsj/FHiS/A7+32yzzWLybF0Gj0A3s6zDsi2kZgNKc5HLDNt6niz8sJjbfQmngUR1VFwMypzJIis5BtZxqgQg5P+EbONHHXVUxbnkQ1vpP/oQb3KyP8whD3PLOYDzbEwwh6eFki2ULOMYGNStVFg655G8OisDAxM5Zd5CEfKT+JRTTlGeB/EOJLvCHHJZcKS7jyWMMxYPQiyLlwHlzWSRkvTJ+GC0RarlkFPyzubKPGQBVNGfhOIn+ym/FpYOC3PIw9xyGpAokeQ8eTkPmENRG7olh7woPLwfR8AQKFsOuRg2k2eGRGjF4vHU79tvv33Ni7bmmmvqceQSt7ucVs2Oa+w0xnF7ttrfCy64oMZZ3bmLMprMj0ob7VhPUiZUCGNjISaNJQpNQaGKSXodIoRh2q84lAbs604ku3fUY8eO1WvBOoeSrGUXu2cZM88dl/5CoPCyZwYvC/qNNtooljDX5GUnOaAxL4Z2la/qr0uZPdtuVshDpZYHFC9CFKpWypBlo1N9KyXWJN8ouTdRCoUlXUnkxowZo+VRwkUNBoJQwlJknMuLAXI3FkQQz9m5kp+tCrzJYBRy2kAhDsfF/z//+c8HTJS6qHacRKrELDTFq12hIEtYfUV99VAhT5cspAPJXU/a5FwUekqhodRLWHyyD4XZrmE1hZz2JA0gOQcDhoQKapk4ap5DGmfjl/Cuivm5Qj7gcvuG/0NAomliiP2uvPJKx6SkCJRNIZdoPX3W8BzH6Er9ar5DKlmNbAkFkJKZHAdJZhkExdFKaabfEWxPK5ZlGHOrY+C9Q+lc5rnvvvu22kzd83AeoexBqopRWPLMk3cT7ymXziEgKXKJ4y8sE9u5EdXuGeI5c6KwxnTpPwQ6ppAb1DA8s0gKPXH9dxnym3G3KeSSvpAoWrZowBMt+XqFG2rw4qIwpxcv6e8s2NJGJL7zUE0fG36HaT3tnR6sQs6CMaxSQM32LO8AXnIhCqk6PgxlaXb4ego5/Wy99dZV22TuMNfi3TappZBLCZp4xRVXrNme5D4OMNC4Qp7f86TbWzYPYZ6L9G7HqNPjL5tCLrwr+gyyCh4wb9szdty4cZlw4U21Z31ZFLPjjjuu5rOUqKheEUnZSuYqZS5zm5ZwAyT9SIhxLKRv+h0lXQj9cuvXG66PAA4UrsXcc88dCxdO/RM6eAT3ChEVjHfJJZeMYel36T8ECs8hlxuuQshFhRQLYi4XRyBkviaXmzra5GvBVF50Lg253fQN6Rk5gGFON4zuELlJ2RjlQUiPje/UHof4h7ylkJCNvG3qhsMUL2VxKi46xDNUF+ATsr1zEP3bPv5mCefIIjE5bv/9949gdU8LOdrkucHVEBK0iedZc61gEhYvesVp/E6t/6wccvohb518fvLGw2PASyJiopkzZ0YjRoxI2mW8EgmhnzRnBN8hdpSFYrTSSislGMNBAfM7uerUaU/nN9OWjTNNhEcte9vXDgLANK7+vdwIWG5nmUi2yo1Yf48OYkpR6BQEq+IAB4dVrJg6daqyb6eF/GWTMtxrkmIVSQpUepgV30Vh18ocvSCSFqnT4L0Rcpi0e24333xzBHcL7z4wlsgb7WLUqFHRQgst1O7uvL0GEbj22mt1bYZAwidKeYNnFn8YfDpwU0Cgy5qJNU2ajLb4UXmPHUGg/2wQ/TXjbvOQC7lYYnEmj7hMggcYzzL5Y83mBOIxJwecUPgyChEqjK/dAlavvPJK03hljeODDz7QMRKO2O3S7znkcDAQonfuuedqSoXlZOZ9XS0qhKgsl3IiUCYPObwYsjDTj5ChJYDxbrLwUjGuDgCS/HLO4Rief50WamEzHqKcxCCq6YJ8F0N3vOmmm8ZWL52IpW4XIdtLrk1RufFSzUbT0uxeESLYmMi5rNSubse37OMXp04sRne9FqQdFpHiOBhMpARhct8QweXSvwgUWvasIxYH79QRaBMCWMFD9u9mmsVjXmaPLBEqeUSpzD///M3AVPNYvN1lxrDm4H2nIiBGlUhIAyNK0YRl8Yj+ECVGo03CKgCtwia5vVoCEK8DpR4pCcj/MPMTEUK0R1ooAUV9aQlJ1mgN6jNT6z4teDQo7wf78iqrrKLzgHVbSIO0jCflPNPRHtYG3la89KKk6TiIGqlWZSHdr38vHoGQTTtkSue+IJKI6h/UDBZukYgoIBM7jwoFjZbbymt2MDfzbKcEqoTDajdEbuHdpeKFhPbqNu5fSSfS32hWBFRe42t3uzxDZEmvXtFtt9223c1ntgeuFn1DJRgxMkZ4aX/yk5/oGIjyaue7MHMQvlERoPIOz3nWXPw20xF0ZYKJCFA8+IjwEUR77rlnmYbnYykagf61RfTHzN1D3h/X2WfZXQj0o4ecCAcIruQdl3yM+Mq2iaIzqHw/+iCvF66CsB/Il+BEYBuEhqE8/fTTsaTHJMcbYSDeTSoGpD0skAXRjoQtK7cFPA1hX+Qs/vnPf67oA66ItddeOzkOQjDOgashTQjZXXdy+0dbJg+5GFf0OlGVgqiOUCStJ7me55xzTrILYi+7H7hH0iKGH60ewr3aikC+xvmDyY2GHJMx3nrrra0MobTnkN9PhRHmRlRAUUIVFrvmRPyIMbDiuSClUYsaSl/3QzUX8ve5FlJyrtRY8E6gAgBjJUIFzhyX/kag4znkcjO6OAKOgCPgCJQQAUnNiGTRrvmRgxVhp1bPMrLzzjtH1Hem3ireYlk8R3ADPP7445EQrrXUlbzK1TstypHyNojiHFGH9vLLL1dOBGFC1nZXW221pH1ZFEVrrLGGckVMnDhRx4JHkVrCQ4cOVf6II444omI85gmjDjXzOOCAAyJRwPXcHXbYQT3sp59+ekUfeNLvvvtu7UPSXtQLCYcEHlTmKxUJWpqzn5QvApYLjkeciIhQxMCiERKIeWX5v17+OPeAlDfK5PZoZDa0L+SZUVjnvJHz+uEYSYHRZwoRN9QOL0qOOeYY7UrKjipHChE5RCTgrR0yZIjyzZjAOUCUjUt7EQBTSRuIxIAaSZWX6MQTT2xvB21sjee/ENLqO4PIy+nTp1eNqmpjt95U2RHob3tE78/ePeS9f419ht2HQOghx5uKZ6eMH1FG1YIv4bmDGh/Wf/MGbLXVVpkX7JBDDtG+8B6HdeUzD87YaKX1JGR0QGUBCR1NPFhUcjDhWPqkFFpa8JzjbaGOdOjNtOoJlPZLl73Cc0l7oWdUFue6TUi10l3ElP9k33e/+90B+/p1Q1k85DAfc234VPNwUj7PjpG0Bb1kRx11VLINTpRQ4B6hhCO/p1bF2NLdQ16JINhaJRCqbxQlIc8Az6Bacumll+q9QYnfXotOqDXvIvZRJcB+i2KELaLLlvsIK/DAo+LiCIBAx8ue+WXIFwHIi+whRThP2aXMpG5lx87H1z0IQPpjv8t++0t4Z5aEChA17JsRSBONsO2hhx4acCrPPnBGwYb0B5H8Pd223HLLxf/6178GnMMGSIE45o9//GOyn+PZJl7wAeeYsoRShthinVI2WX2gREi+roa3uvwHgbIo5KGyXY0cjOtn952lQvCX+4PQ6XS6g92HRx99dHK508dk3QchiSjpF8LCPKBtOy/rPku32Ysh61dddVXyTCWdoCgxgxtl8eqlIUjllYrn/oQJE4oaZk/3wzqX3wS/u29/+9ulnisKuL3zs1JaSj14H1yuCHjIuvwyelkgL6IMlXiAkrItvTxfn5sj0A0IEFbZryJ545lTFwUm2U7YYTNCeTzxaEfDhg2LpHZ91VNXWGGFyPoRpUSPg0yOcPksoUweIm9h/UtZKGHYVqKgbbbZZsApYlDUbfSDiOFF/xIGLwvFaIMNNqj4EFrv4asKUenEUhMYWEjoFg6U0Oh99tlHN0GSJtUqkjJphLOnCaWsTUpxUfoSoi9CVsXwo2kToYiBSlMguAcpRwnpEykYtEHZR2sbAkMxCmiZJwgTIXBbaqmlNC2iX4Tf5/HHH6/TpdQZ6QRFCNdMDIzalUT4VJQ3zepfPKNKnGfkeqStuAweAUrPvfPOO/psh8itrMJ7yp4XvKdIsXBxBAwBZ1nvg3vBHgB9MFWfoiPQFQiE9edh5E3np5ZlEixuYAtmgT+YhQ4KNvndKKa/+MUvMhUccDAh77IZkdQcPXzNNdfMPI18TiTMH3/kkUd0m3i8M88RT2Nk7dr1YkGFAr3uuutqnmJaTOGyfsiJR2oxqaM8SJmedFP+vcMIWI42v81lllmm6mhQsiQiQln8L7nkEuVGQMJ7zU62+wPeAZRq+A5g6YffgPxXeAkQOAm4L1A0yYWFkZ/a2uQmk4O8yy67WJOqyMMqTVv0DScB92Y3M6Unk2vwHzgYfve73+nRKMZFCTniCM8H+CQaEXLMySnHgAJPBYIyCY8GhhX4Bfrp2jWCWa1jqNtN1QAEvg8wLKOQL847EEMZFQCEZDSqZpwu4/h9TPkj4Ap5/hh7D46AI+AIVEWAhXeWclf1hAJ3UNYJmWuuubQM2GBkp512Uo8ABFiS66kLTzyMCIuT/fffX/8XJiFukMcAACAASURBVHYlR2pGUFIQ82inzzVveKgk4c1EUHay5Pbbb1cyOzxuZjAxJW2ttdYacArK0IsvvqgLQitxBMEbctZZZyWL7wEn+obSIcCimRJ1CGXzqkVQsB+vHARieGglZSGJpvjGN74xYF6mkFMmLVTgLrzwwkjSIvR4lHAUbqIxMBqZsYZoCkgAkdBjb/ck50H4hse93wTcEQwnI0eOLGT64E5pRQRluhklmmsUEr2hnFMKEqFUGlGNUiO+kHl0cycvvfRSQtaJx7lVQtC8McAgTUTVCy+8oO88jAjNvuPyHqO333kEsuP0Oj8uH4Ej4Ag4Ao5ADyEAEzHKKp5nQgwXWmgh9TSjnOM5wEtEDXKU12bFFGZY09MC2zoLICRUyE1pxruYFtjljTk5VJxMocoKYU57x2mTOSLmaQ/7wWPCfsKVmbtLeRAQHgL1XCOw8NeT8ePHa1i5GYY4Pq2Qv/HGG1rrW0rsDfCmEklhNe9R9IR7QENbw8gJvGmWjhG2zX2HIQoPeT8q40LSGM2aNUsv0UEHHVTTeFLvOjaz36ovYNALIxaaacOOpRa8cA/o12eeeSYS4kt9TrpURwAD1O677x4JYagaQy6++OIBKSLVzy52D88Hao4jGO6IdHFxBNIIuIc8jYh/73kECP2zXM9GJ8tDVFiidWFPGShEmJG1dEW3CQoIua0zZ86MXn75ZQ3BXWCBBTREkoUFvANlERaxQtZS2ELz2GOP1fBPhAUxuZ4u7UGAKADKjwmRjf7l3uNjIszDWqJs6aWXbrpDYUvXcwivF4KfaNFFF9Xv5JXjMfvwww+jeeedtyKckZxc8n4nTZoUCet1Ej6Id5Rrj1JEWPGee+6pbbEAJGRd6pMn5a50x/+JeSpDZZ2+6YOwY/owDz6KG6GrlEBjUck97lIeBOxaMqKs0PP0SDHubLfddtFFF12kuzAyCVFfxWEoztxDae4Boir4bLvttnr8TTfdpH9RytLy9ttvq5JuxiQhKFTPOsfatvQ5vf6dZzbCe8swzHvOGAHwaiM/+tGP1BgzGOH3T5QQz0W8/TwDLXoI3gAiNOaZZ57BdNFz52KAst8KKSNlfVdLdQ1NN0F4Rvzwhz/suWvhE2oTAvKCcHEESoNAESzr4o2rYDqVn1Ld75SmQvbbb7/kWKknWxrcGhkITL0SKqlM09Xm/IlPfCKzPFMj7bfzGFGgYthIRYmKKZlVlAgRU4KN5KXl1m1Y9qyVEl+5DSzVsCimioeE7ba1S6nJHR922GGxhPrGkk8bi9KayULeTKcw1jJW7hnxwMfjxo2LxeMeS2iobk+XmoLdWjxTuk9y5GPxrsWyWNL/2SZeyFhCDJMhWAlJyW/PHJbdOw8++GCyn9+chOBre6KkxaLcx6KQxZ/+9Kd1G+OEId7lvwiUgWVdcsH13uRDOcJGRLzfyTkSfjzgFMk31msuERsV+4wdnJJ5CPexGH1i8dBXHCdEkMokLYv6ZPsdd9yhbVK1oRnpFZZ1MZDp/PkIx0UzELR8LL9XMdQlv+n0dWq54YwTefdJ9E8sCr8+nyTNJuOo/ttESUpjVZeIkzisQlAmNCiFKIYVvVcYp3ColGl4PpaSIeAecvmluPQXAqJ0Dsj3ChlpCftL5wymv3cjYqNHj1YPpIkoBRomSa4iTL14yvEkYsFlnyg0HZkm4cLkAmaFEndkQN5p2xGAfK0aAVurnZGHi2d86tSp6pGArI3wdwjV+H2no1lgqcbDIuXLop/+9Kea246nixByMbapJz/MCyVfkTz6rHBDfjt44GFSx9NvgpdLjC8RXhKpQRxJ2SP1xONFxwvveaKtXu18z4PvgE8zglezFmsyXne4GCw03dpOR1YQRSHrRGVUt5QHjuXeIbUh9NjbuUWxijeDRxHHwiqPEB0w2LDxRsc7bdq0JMKOyLlmcscb7cOOY93BM4T0CSrl8JyC+A9SsH4V1gdUxuC3wDqFUHWLJigTJpAMjho1SlMPyBcnAmKwkRRlmp+PJQcEOm0gwPNIzUhqx+IVc+lvBIrwkGchLAufxNKOd6SaiPIay8JcPxI+WO2w0m0XZSWZH94XCbOL8biYUGdZFInkGKzPEi7ekXngcZBHXfJxD3lHLoN2mpeHvHMz8p7LjkAZPOTtxgivKtEakuY0oGkxzlTUobc6xZLmkBwr4dGJR1BKZSXbxaATC8P3gDbrbegFDznrRntPiFGt3pTbsh8Ppxj9tF+ihoqIbpG0lliMDbEo5+ptxTvczyLh6cl1Z11TRuGa2ZpSyhDGYkQp4zB9TCVDoGMe8iuuuEJLFIRkNxDz4JWjlISXA8jB+uJNDhoB8vWMfRf2ZfNWUHbFCKWwiuKRwyOGNRuPBwy5xqoK0yaWbu59SKzIRcezliUQP02fPl3ZdvHCkT9I7mnohcs6L9zGeZZnx3ZyVo2wyo6jzBSM2tRH5XjItyDDgoAoFGrjUp6K3FzyGfHgUFt5nXXWGTAMGKatlBWeS+Yo4by6jdxZPIrMxfJ/aQC8JJy5oi2wwhIO8Rd5dIyL/F4E/Mm/g6GW8eB1xXpuNXrxLDAv2IfBkhq9sCaT2+t5uwMumW9wBByBHBCAtA0+jDTRG+8JCOTgFzCh9ji56BCUEcHB85h3BlEVkJeFubJwGrTiHcejzDMSXpRuFFlHKz4I3kdY7osQGNDhqECIeoFPIm+Bi8DuB95nRvRHZA9cOETzVCvdmPfYim6f34qtXTbddNNo1113LXoIdfvDc89aj98s0ZaU+eyX61MXHD+gNgKdMBCQxyqjqvoZNmyY58p04sKUoM+ye8ir5ZCTn2r3NPmDeEPS9zj5o/JwTjwd4X5ySdMioXGZx+Lhpi1yYBsRMSBUjIVcx2oC/kQBpEUWjppfi5U+PS++iyIci0Gi4jQxIiTH4smRkiSaG5k+f8KECcl5kydPHrDfjieKBgFf2wZu5Azbd2G8TXCRxWwsC8/M9kSx12uRFs8hr0TEPeTpO8S/541AL3rIhTlbOTEkNagCPimrp9vJhQ6F5+15550XS33yeMqUKTHHwTtheeYcSyQR54Ye82auTRgh1cx5ZTgWHOyZz3uyCIFLQELFtV9hRC+iy5p9iKFfx4LXHL6Mbr6eNSf6fztZl0haiM5ZDEmxEGM2clqhx5DLHq4FJc2k0P69s+5GgFylQkXyKJIHKYo3xElicYzFg6VhOfaQlfytQsfVq52htPGAkLzHrnhg94JCjtKJYig52zH3uN3T/EWhRRnk/jZiGNsvOUfJbSj1TRMyEPZDDCWeXz3XjofkpRHhpWDnYChoRcaMGVMxD6mHG6O8Sv5csl08FbF4oZPmQ4UcsjjGwDm77bZbzPkhLhbSBTFP2pgheZe6jfaQUCFPGwgwGiCQHRmZCv1wvpQvqlDeOVe89RVwuEJeAYeHrFfC4d8KQKAXFfICYOubLlB6JA9f3x8SLTBoMshGgTPjpEQWxI899lijp+V2nESOVawHJCIvt77K0DBkmFxz1ld5Eq62OlfSF8J1EmSlLo5AMwgUrpCTd2MP0iyLHjex/egkPLaZufixGQiQo2+KT6uW9Ixmc9vUCwo5bMqvv/66YoSnA0XVrgEKtTE3s7Awiy/7pYxHguvQoUOTc0466aRkO7lJppSjDIcKcLWLImVUkrZgkG5WpDxacj5KrBDDJU08+eSTFcr12LFjk32hQs78whcU1u7Qex22WS+HPFTIaZd8ePgnuNfx0guJSiwh98mYpSRQLGFkOi7axiBg1wPvesgF4Ap55d3hHvJmfy1+/GARcIV8sAj29vlC2Jg8v6UEaSGTRQE3ozJRC2URvPa8VzfaaKOYtQHCupqouCLy24vCQcg5k2tuRvei+m60n0MOOaRizcE6xMURaAaBQnPIhRAjEqVQ1sJRJKG/mXniBx98sObmkDcF0zKM2K0KbIzU6YQFs1/ZDWF4NBEva5Jb2yqmeZ8Xjpfr141CnVljQeX+FW9wJCGLOhVyl2F9RmAGXWGFFRIeBSlpotvJ04ah046BjdmEfLKtt95aWaTJP6QmOjmHtSTEkd9Vs2K1dTmPOq/U0jQh51zCzCNqOiMw0JJnl/W7JdfNhLx6crnJ70aoy9yKkBMu5bM0VwucEfGOa447wn4J/dQcdIRnAbl31IaGNRsmY/4HUxdHwBFwBByB8iIATwg1pxHWM1K2MPfByoI62mOPPbQCCe91OI7KInDQCPlfxXCoDkHeMnwFvJvTPDBlGXuj44A/Z//999fDmVPIh9NoG3kfJ5F9Wj8eWXfddZU/qBcq8+SNm7dfiUChCjnKMQ83pBqZCMRuKM9i5VNlms9gBUMAn34XXmbdJKagdtOYGWtYqobvYYkSyM1CCYnFzBhBCTITSGPSL1QUSROx3Fe0l/UFIjQTFFB+g82Q0UBkZxISsNm2tdZaK9nPPQbpDYp6KCjEX/ziFyu2oSybhGXnKg6q84VSQ2nlH9I3E8jvKDUUCoSRki6QGAMgknOFvA7QvtsRcAQcgQ4jcPTRR6shFWUnrYjmNTRIRe+66y5tnjJnkJGWWew9C5Ep72sM6jvvvHOZh1x1bKwneDezfsf4ABl0+n1f9eSCduCEMKcJhIuUN8uzFF5B0/JuOoBAoQo5igE/KthGb7/9dmWeTgvsySjjCGzQsD23KpI/rezUeM5Q9PtRpGSURhwgEmoVSYmUUsMA+zYeTCRUJEs96NTg0tEYxvjNYenqAVmKcaic4tHOqsfN7whpJIpgxRVXTEaIkQN2d6JPsgQmdLzwsP7yPwYDM6JxfHpubOMFyTzsuKwxpefNeXi1BytZ90i98dJn+MIMozIGOx4/3xFwBByBdiGA0skzFwMnH0mHastzs13jK7IdSUnS6CsEdm2MqnkLa1UJCdduJJ0pkhzhvLscdPtEz1FtREKoNdru5ZdfHnSbnWqA2vKsV1hfTJ06Ve//Molw/USMkXUaegYRi2kHQJnG62MpNwKFKuT8qAjn5YGB0kX4SeiZwjPIzY2gOBIG0o5Fe7kvQb6jkxzfRCEXIjENEy6zUBbLFPIyjzPPsQkhXNI8nmXJR2/Ko50eGwuJBRZYIHkxUyKMT1ooNyb1bnXzxRdfHAmTbST519Eiiyyi5coQvMlpwehlSjCKbjoKgOMHE75VK8w+yxLNeE2IIMBAEBpFGGs4Dwt1T8/Lv0fRnHPOqTDYX8fEEXAEikOAaKswJYnnGM83Sl/ZZ9lll40oW8lzlzSoXpXx48drmhbGaAsPznuulFajXCa4CqP9oN5jeY/V2medzT2z5ZZb6ntOiGV1Fx5zSg1LxRMtExe+E4saWzP9nHbaaRp6j3AdLC2umTbyPJaSg8K2r6kMODFwMlJO0MURaBWB/2n1xFbP44HASwbvNfWaURZ4OPCQ4KWCUs7iXUgcXBlvFWQ/r6sR4HdgYXGEbFmeNZNCmaT+Ji8C+BbC8PZqk8aoJaUGk90YxFjQ8Bs04WVNfrgJizv6QejLhEWJlE1LvlMXVUjVku/UVB+s8obHPVxY1ko3yTLYrb/++lr7HSG8cdKkScn4+Ic5YHVH8NxbffiKg/yLIiCl6vT6nnrqqY6II+AIFIwAfB2hER3jIhFTeObgxkBR4TlNJCHGW+odEwknpJkFjzTf7q655ppIyr5pJ0ceeWQhYePwHV1wwQXaJ8aAlVZaKd9Jtrl1IitYX5sx/LLLLotuueUWvT/gruGdX1YhUtYiE0iJM96AsoyXtDgh0ouoOY6BCFzL5r0vC1Y+jsYRKFwhJ3eclwlKByKs2pGUZYpuvPFGtTSxkObBQcisiyPQjwhguYb00ETKnekiBGsxCzQU9GuvvVa92Hi+GxFynOw3hccZJYtz1157bQ1fX3311SPSBRBe4Cjt5n3GS25h77yACBUkZBBlje2QqCHkhJ9wwgmNDKfmMVj4w/xyDHYYC7K881kNEWbPQtWE0D2UdIwSKN8Q9JhA0ONW7SwU/7ON5/UxxxwTkRvn4gg4AsUiwLPwlFNOaShCCu8xocqEuYfPz2JH3P7eMMgaqRfrxvD53f7e/tMihg+pGKKhyESsQRza7QKpKu9B5PHHH68wpJdpblIpJdpiiy1UH+D9M3369FJ584k6hUyQyEUM+tddd10EV42LIzBYBAoNWbfBQsQkZRmiK6+8Uq2e5LmQ4w15FQv9spNmVAMdiyNKA3PBYi2lqzRMGEWHhzphLS6OQCMI8PKETE3KgakVlsiSULDKoqCHpHC12kXJ5ngs/XhWWGhIyZRISppVnIZBDA8ynm4TLO0YAFDM8RpAtEg+Vyi8OKWmd8Rvux2ywQYbaMg8Ql4Wwku60Rcf0QPMb8qUKTrXGTNm6MeEhS5Ku1nhkx3+jyPgCDgCJUKAdRHhx1dddVXVUWHExZs7evToqsd06w4MDFQp4ZlNGmMRodbw7jz00EMKGSl0vcBBRKoDYdU33XSTEr2x1ja59957NQc6Tbxa9D2D8YX3PFVXiH5jDVCmdTM8BrCov/jii8qdw28yi+i2aNy8v95AoCMKOdDxUMXzx6cXBG9hGNbJww+2aSyrRADgzezFl2UvXDvmMGLECLV4IuTmVROMLBbaHYawsWgy4jKpO15xOiGHWHsRqQNesQ9vs7Hff+1rX0v2EbJNpAh9oZRj6CE83Lzae+65Z9MvKl4geL7xMMAcS1gYId30xZh50UiN7kyvOyHsUh9YlXo+5Gbz8iT9BHLGcePGDSAzYRGDEo9kLWgIp7MqCmmSORZBGB3I0+IYromx17NwsHZXW221CjztC4s3FlXk0l1yySUansdLHs8R3BV4P7JCEJmL5ZSn2fIzO/KNjoAj4AjkjACRR9dff73mUKcFYyteRJT2XhNCg2E2R0hxJKIrb8EQbgZwospQEHtJiBIL07R4n3PvYNwniozovMGmnbWCF+l4cEgRNYvAc1PE9W50rKzncRSgjJuxwNPdGkXPj2sIAfkRuAwSAWHijEXZicWTGIviHUtphlgse9qqWM9iUSxiyVkdZC+tnU6/ciPoR5SS1hop8Cx5GCfjFaWvwJ69K0egOAQkMii5z6UUXXEde0+OQMkREMNf8tsQj1TJR1vc8CRqKsHF3un8lbrMsVSKiF944YXiBlNAT8xpjTXW0DlL6dBYog1z71V4VWIxkmufwpYdS/Rm7n12ugN+b6xd7Z4SI3dHhiTpY8kYJkyY0JExVOtUlPFYnBY6PnFgxGIAq3aob3cEWkag8BxyuaF7TiB0wAMKuQpecCy55sEjJJjQ2bRntOdA8Ak5Ao6AI+AIOAKOQC4IHHrooQP4LuD+wKtJhB4RPSNHjtRIoF4QIg7vuecenQqpR0VwfVDn3Dy0EAv3Q5QUUWZEvFHxiMiyWiSqed1XkPaBPYIXOk3Emle/jbRLSi3Rg6RNEE1IdCHVolwcgXYj0NUKObm1hBcRSlKrNBKgUWuY/A/KNxGm26jARM3DCjbrrPrKtEPoL9JseA255Q8//HDPMaI2iq0f5wg4Ao6AI+AIOAL1EYDfI00uRmkolARxyWgDKDYwrf/ud7+r32CJj3j22WcjCDeRb33rW9GOO+6Y+2jJGbfweEpshVVHcu+8wx2QsganEwz+s2bN0tG89957WmEF7Bup5tLqFFgD0wdreFLTpk2bVghPQCPjlagTVcbBhd8ZqacQ67o4Ankg0JUKOXmlkE6RDwrJE+UGIIKD8CMt5OdC3IR1FS81ObuQRFCbkZzYtJBXSi4weavkbXEszJ5LLrmk/g2ZnmGuxqJoNZ0pJ8F38nQRSjXwPV2yAVIN2KmxvvKXscEiivLPA0lCpeoaGNLj9u+OgCPgCDgCjoAj0LsIUHGCuuPIt7/9bS1rhcDEjocRnpDXXntN8827VTAuME8cLpRyg4SUdVSeQm4+0Y2swSA2g9i0H4W1tBHFwsQOmStcNqx9w/Km7cKGfGwiS1lvs+5lbdxpYjmbG57x9dZbL3r66ae18gxEtnDSuDgCuSHQcrB7h04UJudYyjHFojTHwhgdC2FTLFbjWJRzze+Qh0cyMgkVj0Xh1e1Sy1D3yQ8+JhdLSBk0b0aU++R4Ud5jIZuL5eETr7POOrGQO8VC7hFLiEospBfajpQVSY4nV5z9bBcSjFgUeP2Qb4IIQZTuu+2225JzTjrppFheLrGwrsf8L9bAWAixYvnBxxIGo8dLyE7b0PUc8rZB6Q05Am1DwHPI2walN9RjCHgOee0LevPNN+s6gbVDWsRhEEu4bwyvDSLhxx3jr0mPrdHvooDr/PgIuWejpw3qOAn7T/oUkrNBtdVLJ7NGtbU116OdOfX/+Mc/YimnqbiTl807sSwi4emxVErSsbFeP+ecc8oyNB9HDyNAqFPXCA8Dsd7FYjWtUKSZAC8nfjyQgJhssskmuk1YpWMJh6mYp+QH6T4Jh0q233nnnclDWUpC6MvMBGWd4yFoC0XCe3S7hKtXbKc/iEj4MdvLkQcOijeKfpqgRPKlkr4lV6yircF8cYV8MOj5uY5APgi4Qp4Prt5q9yPgCnn9a4ixX6qC1D1QWKB1XSG8NnE3kEdC4scajzFL5RIlq8tbfv3rX6tCSJ/iAc27u65rXzgJYokyjY888shk7BDu3n333S3PRTiX1PEE5nyKMrw0MmBh9o8lMlbHxX0hnvFGTvNjHIFBI9BVCrmEMemPREJnBkz8zTffjLFyomgjd9xxhx4rpaRifvxpkRAl/bHhKbf9xx13XNVzeFHQ3gorrFDRFNZotktN44rtEu6j2/G2IyjojIVtvADSgvJvLwUs4O0SV8jbhaS34wi0D4FuUciJ7pFSe+p1c3EEikDAFfL6KAv/TP2D5AiLumPdIalxpfaWw3AOwzdjxelSRGUalE2iFelTStXGRFW61EZAyq/GwmegmEl+dSx8BbVPSO1lLbzTTjvp+XyIcC2LMBdJf9VxoRtYtaSyjM/H0dsIdE0OOYRq1EtEyC9KC3WOyfmmxjJC3gvCd2oGpoVcK/LOyRmCvAK599579e+YMWMGnPPII4/ovrBWdHhOuh6y5afDgorcddddETk55H9lkb9J+LzWaiZXijrJ7ZIw9yrvPKx2jdnbcQQcgXIgQE6fRPNEkipUjgH5KBwBR0C5bRoRSemLYGeXVDxlXzcC2kbOLfoY8cAmazDxmOZemQYSMcjEIPkFH8jEJAKy6Gl3XX+snSEORCSqNFp11VWj3//+9w3PA04nmMoRcrKt5nvDDeR04AMPPBCtv/76kUSSRJIWG4kynlRLyqlLb9YRqECgaxRylFkJ0Yok3DsSS2bdy2gKcTXlltIOtCe536oIIyjkKK1bbLHFgPZNWU+3V2+7KepGBmcKeroD8fAn5dEk1D29u+XvYAVR3dJLLx0ts8wyLbfjJzoCjkD/ISD2aJ20/e0/BHzGjkD3IoDyBKkspbwuvPDCaPvtt9fJUIrVnAxlmB2GAmM4h9l7l112yX1YOHAkAkj7gRBPQuRz77MXOmCNLOHqkeRVR/PNN58SnvFpRCA8Pvnkk/VQiJkhSiuDowiHGWz+/C4gErzhhhuiESNGNDIlP8YRaBsCjf2K2tZd6w1RIgyBBbIReeWVV/QwIWbIPFxC2tU7LqQSup+yDpwDE/uiiy464Byrhxkq1LNnz44YFyUjJKyz4hxT1E0ht9qg1epaGitq2tM+YCBNbsDSRwmUJ554IqJsiosj4Ag4Ao6AI+AI9A8CrHOEF0dZ2JHhw4fr2gcPMUpIJ0XIvdRTSmnaL3/5y9H555+f+3BYn5lnFrZ6vLYujSNACbCxY8dGtgaWVE49GaMKFYwoD5YuRcwad++999bjqHaEB5rIhE4LUWAYB6jIhHMOIw210F0cgaIR6BqF3KxoWbXAhTRNFXVCZyz8HCsXUu1lM2XKFN1vtSbTCnR4IVDcUWpRbvE2m6TD0m07P2whhtCybBbijiUR4QGWFtrHWotU86Cnz/HvjoAj4Ag4Ao6AI+AINIsAii9Cah/KlDk8mm2nHcfvueeeEXXH8bISYj/PPPO0o9mqbbBelNx6dchQchblsVEPb9VG+3QHa+KwTJlUHtK1MhEOKN3U70Zuv/32SIgF1eiCkwwl2MqrdRI6QueJyCBilshUlHEhhu7kkLzvPkagaxRyXho8NMlVwaIaipC5RVJqLJKSZBqCjtiP6sorrxxweSdPnhzNmDFDw7h322033V9LIX/ooYf0Bzt06FBVyk2qnUOddB48eLvtQU9uCkYFrIJ4402EUE4t14TkI+32kCcd+T+OgCPgCDgCjoAj0PcIEJIrRLQRnk6UcSLoOiGEMJO7jey7774aNpynWN4460XmPn369AHRjXn23+tto+Da2pt1Mwr6zJkzNfxbyOA0xP2WW27Rv52WY489Ntp5553VMAMnA2H4OPVcHIFOIdD5eJEGZy5MmBpehQWVHG8IQHi4nnHGGarkrrLKKhXkEMLErnkg5Aah9G666aYRedrkrPACIMSch4Up8NW83Qyv2r5q27MUdcjcdt9990hqbKrSzVxQ1iGqQ9lHsBgaWUaDsPhhjoAj4Ag4Ao6AI+AINIwAjgXCi/EUo5yut956eq7UX9aoQsKO8xYcFyjhCNw8UuUm7y4jYfRW7ywC2Z2whOfeZz91QBqElAKOrr76alXEV1xxxWjjjTfWyFXW2jjI4IHqpOAs22effSKpyKTDIIpVqp5kpqp2cpzedx8i0E0k8u+++248evRoreUtlyopTUA5tKyanPfdd18sIebJsZwjLyKtNfnCCy8kU5eHhZY4oNQGpTfSYqVDwhIIlH6gLWFHjymhFoo8gLTPdPkyCbePxSqXlNmYa665YnkwxGJk0OPlpZjuuu++C/lMcr2odeniCPQiAt1S9oznE88m8Rz04mXwOZUQAS971pmLwppGcmj19y5RezGlZPMS1mvCvaN9SahwLCHreXWVtCtKF+y6bQAAIABJREFUYixRitrnhhtuGLMec8kPAYlm1WsL3qyv+Sss9vEpp5ySWYo4v5H8t2Xu8a222ipZY1JmT1jVi+ja+3AE6iLQNR5y+TGrhY18Hyy7MIRajrYotuweIISfkM9CiDi5LBwP03j6eKzFkK4RwpRFMoFXG2taSIpGKTXKZeDlNqIUG8Dll1+uIev0FwrtH3LIIfoR44KyOSJ77bWX/pWXRMXx/sURcAQcAUfAEXAEHIG8EWBNA6kt5Z8uuugiLdUKO3t6vTTYcRDZCNs73njWT0QsZhHpDraf8HxSAglPlhWxzhFPLesxl3wQoKoQaZpEW7BuxyMNuzr5+/vtt59e+5/85Cf5dF6lVcay2WabqQcfIXectfocc8xR5Qzf7AgUi0DX5JCHsBC+DjMmBGiNvCwIkUHZJVQ863heCtSfTCvQ1ieKOPtDZd3OsZJp4fhoh+PtgS8e9Ah2dcLA3nrrLT3UlPF33nlHa/xy7JZbblns1ffeHAFHwBFwBBwBR6DvEWBNgxJOGDn/ozRZtZp2ggO7OXnECCXZWMvlKShim2yyia69WMsRTp21DsxzDP3U9p///Ge9pq+99poquzfeeGPiRNtoo40UipAIrghsIA2krJ0p47C9s+52ZbwI9L2PRhHoKg95o5Mq23F44Pnh463nZQQDJYo8RConnniivvT22GOPqiXayjafosYjaQUVJHpF9ev9OAJ5I/Dyyy/n3YW37wg4Ao5AUwiwTpGQ4khSA5XbBm8y8uCDD6p3GebswQilryDTQr73ve9FBx988GCaq3sukYp4459++unEGz9kyJC65/kBrSEAzuTlEz3Kuhfjh+Xpk6tN/j6GEXN+wbfE9VlrrbWU76laWeDWRvOfs+AqwDPOOxdiZdbcEydOHEyTfq4jkA8CdYPa/YC2ICB1zGMpNZLkrsjV1P/Jh5eQ9Y7l1LRlcm1sJMwhN4z873/uFcehN3Eocw6b55C38eHmTTWEgOeQNwRTYQcJC3ss0YGafz1u3LhYFKqW+ianWIhrdd3z1a9+NRbPdUvtNHPShAkTkjXXMccc08ypfmyTCIiDKRaFWvGWiM845Fyq1pSUH06uj4S2x8K6X+3QlrYzBtplTJJaGkuIekvt+EmOQBEIuIdcfqlFCOH1WA8JmSGfCeszTO+U+aDkQp5y1VVXaX877bRTnt14246AI9AkApR/yUp7abIZP9wRcAQcgVwQILybErGPPvpodM4552h5KDzmYQnYeh3D0UOlG1L0CBu/9tprNa0vT4H759RTT9UuRo4cqdw9LvkgAKcTaaFcZ7gIyM0W8rS6nYmBR0PbicqAif20006L2DZYEeUpOvzwwyMxwmhkB7XtqWi09tprD7ZpP98RyA0BV8hzg3Zgw7zAUMDzrrUZ9vziiy9Go0aN0ocSpeEIGyqzLLnkktHtt99e5iH62ByBtiGwwgor6ALGxRFwBByBMiIAKZdUrNG65WeeeabmllNTulGFnGMh0Jo9e7aGjaOsLb/88rlO9brrrov23HNP7WPo0KER9bEJV3ZpPwKkYlrOOATHlBPmejciUqVIleaxY8dG559/flJ+j/Uq7RDCPnz48EaaSo7hftttt92S+vasKSmBjFHJxREoMwKukJf56rRhbFikebghb7/9dhtazLcJcotg53RxBBwBR8ARcAQcgc4jAAnt6aefHu2+++7Kh2NRPVLaNZp33nnV2J8lrD04R9IQdDeeUAjW8hRY4slLJn98scUW07xlI9HNs99+bBusv/Od7yRs6tdcc01L1YIWXnhhJfgzufPOO6PttttOv1LHfPLkyQmfQS2ccUCNGDFCKwUgeO1h1HcSv1qo+b6yINCVLOtlAc/H4Qg4Ao6AI+AIOAKOQD8gQEQPHkcEsiyI2aheQ1krQo7Tgvfzsssu0814QcePH58+pK3fSQtEgaOsrNTAjn75y19qaqBL+xGYOXOmRnvCYo/BA8K+dpXuhXjP7jNY2rnHPvzww5qTEI4CPc6U8e9///tqjHFlvCZsvrNECLhCXqKL4UNxBBwBR8ARcAQcAUeg7AgsvvjiWhmGuuJ4z9dbb72KIaOIk8eLwKKdd91pcpG/+93vatUaQqEJW19mmWXKDmNXjo+ydXjGibpE4SXNsJ2pmPPPP3/0xz/+UWuXY1hZZJFFKsoOp0EjDWKNNdaInn/+eU0Bgz/g3HPPrXlOug3/7gh0GgFXyDt9Bbx/R8ARcARKioDlXXr+ZUkvkA/LEegQAhBlPfTQQxGeSJ4PhAtbehw5u5R35Tu8NZC4kV+cl+CdJxSeGtjkqWMMWHPNNfPqrq/bnT59upYRgyiYeuIzZsyIIC1ut3C/7L///koUx33GdcVLjhccDzp1xD/66CPlNthhhx10PCjvGAtIk3BxBLoNAc8h77Yr5uN1BBwBR6AgBFjkwk4LMaSLI+AIOAIhAjCm44kkFJ1cchRzKfGqDNv//Oc/Iyn1qmHjeTKqf/DBB0oiRk1rREppRVtssYVfqBwQwGN9wAEHqKGFVAA848stt1wOPf23SSm5l3yhhjkkciji3GNwDrENIZ2CuudEbbg4At2IgCvk3XjVfMyOgCPgCBSAAGGIhAG6OAKOgCNQDYFll11Wd1EaDcZtlGSEnGLCj/MSFLOtt946uu2227SLiRMnaj67S3sRQAE/8MADo0mTJmnDKL14opdYYon2dlSnNTzyGAHGjBkTPfXUU4kyDokfhiEn76sDoO8uNQIesl7qy+ODcwQcAUfAEXAEHAFHoNwIvPDCC5rDTWUXS3GZOnVqtOWWW+YycFjUR48erWRiyK677hqdeOKJufTVz41iXIHx3JTxVVddVVnzi1bGuQYYBiBve+655/SSEMZ+/PHHa4oCtdDPPvvsrqgm1M/3k8+9OgKukFfHxvc4Ao6AI+AIOAKOgCPgCNRA4KWXXlJSLyPVotQUyjKSR7lVFLNx48ZF5DMjO+64o9axdq6LGhephV1vvPGGRjlQExzZdNNNI0qSkZ5QtHAfEQ0xYcIEDVknHWLWrFmaQ46QpkDt+aWWWkrvBeMzKHqc3p8j0CoCrpC3ipyf5wg4Ao6AI+AIOAKOQB8jAOkWyviTTz6pCvGFF16o+b0XX3yxkqwR2ozgOacO+YMPPjgotFC09tprr+iCCy7QdkaOHBlddNFF6i11aR8CkPStu+66EeXNECIQ4BOZc84529dJgy3hFR82bJgSuSEw+kP0FpLJYZThHnj55ZeVaNCMCA124Yc5Ah1HwJ9gHb8EPgBHwBFwBBwBR8ARcAS6C4FXX301Wn/99aPHH39clfEzzjhDvdUmhDXPMccc+pVSVLBmw5L9ox/9KMkzb3bG5DITmoxQemvatGle3qpZEOscTy3vVVZZJXr44Yf1uh599NFqaAkJ1uo00bbdP/3pT7WkGcYdxgJHwK233jrAS0+6wv3336/KOiSCnQipb9ukvaG+RMAV8r687D5pR8ARcAQcAUfAEXAEWkOAcGYUYupFoyhRZ5yQ4WpCfjnM3LCvH3fccRpy3ozgGUeht1xmDAHXXHNN9MlPfrKZZvzYOgiQBrD22mtrGTtqeqOI//jHP65zVvt3v/7661pejdQHSppRZo/yeaeddlpVwwBedMqw/f3vf1eDAnLEEUeoV597EwOSiyNQVgRcIS/rlfFxOQKOgCPgCDgCjoAjUDIE3nzzzWiDDTbQElTICSecEP3gBz+oOUrqkcPCDkEY0ky+97///W9V4Al5R1AYr7vuuuhTn/pUzT59Z+MIYPBAeYWx3Gp6U7KOevJFy69//evo61//ekLYR1QFXnty2JsVDEbMh6iKJZdcMmHkr9cOqRgQB7o4AkUh4Ap5UUh7P46AI+AIOAKOgCPgCHQxAq+99prmjFsu+OTJk7U2dSMy99xzR5dffnn017/+NckBxxN7+OGHK3t2lqAU7bbbbhryjpDXfOONN3YklzlrfL2wjfx+SNGOPPJIJUNDcf3Nb36j17lI4VpjFCD6gXvkYx/7mN4bkLd95StfaWkocA2MHz9evf3/+Mc/optuuqmhdvC0U3fdxREoCgGvQ14U0n3UD9ZzLNqNyFxzzeVkLI0A5ccoAu+++2704YcfZqLx2c9+tmoom51AuORbb72lX8mH+9znPpfZVqMbWUDwkkcglOF+zkvef//96L333tPmCdP0mqt5Ie3tOgKOQBYCsKlTZ/wPf/iD7ib0fL/99ss6tOa2L33pS8n+k046ScOQKV9FbvkhhxyiyhPCsx6PrZF5bbzxxtFVV13lnvGa6Da3k3J1hIZbtANpCISt5/kuyxohDP1c67vvvlt3L7zwwlrObK211so6vOFtzOPUU09VIkA8/hahgQec2uXMl1JuacFARBrG9773vWi55ZZL7/bvjkD7ERBrmEsPI/CnP/0plrtGP/fdd18hMxUreNKn9V3t7zPPPFPImLyT/BCQxVksxCv5dRC0LGVPat5bkmcWy6ItvvnmmzPHI1bv5Pxll10285hmNsoiJmlvwQUXzDyVe/yss87K3NfMRlm4Jn0JcVIzp7Z8rCzAYyFRisUb1nIbfqIj0AwCUuM4uc+FyKmZU/3YHBHgWiy22GJ6bSTcPJbw8bb0JkRc8XzzzZdc84kTJ2q7YoCMRVFMto8aNSoWBb0tfXoj/0FAPM/x/PPPn2AshGmxGK0Lh0eiJmIhYkvGsfnmm8eSQ57rOLjP7F7eZpttYjEIVPQnIfO6f6WVVvL7Ltcr4Y0bAh6y3n4bh7foCPQFAnhLxowZE6244ooaUlYGgQiGcMaNNtpIcxrlQdexYREpIi/9aJlllkly4To2mBY7xrMAey1kSi6OgCPQnwg89thj0TrrrBM9++yzGkZM+Pi+++7bFjAg3yLPd8stt9T2Pv/5z2vtckjgyBNHKLlFqLt5ztvScZ83wjWEkRxPMRFXU6dO1UgFrm9RAjHgDjvsoJ5x/ocTgHcO5dVIb8hTuN+oZc4agRJp3GMmjzzyiDLMI5RXO+aYY/IcirftCCgCHrLe4zcCD7VPfOITymw677zzFj5b8pIgc6kmRYdFVRuHb28eAV7oMLB2SsRyHW244YbaPcovoeN33XVXhKEAOfPMMzXsjTI5JrD8sgBAFlpooWR7q//w+7L2KLUSCgzA3Z6DBhkOYqHyreLk5zkCjkB3IgCZFsoxxk7WEoQRU2e8ncLahFB0lDJSc1D+LYRaPOPR+eef76ltbQKclC1y8i0NgHfi1VdfXVHTu01d1Wzm+uuv13rhGASQoUOHRpQ4GzJkSM3z2rWTMHWJINV3NPcX95wJJIWhkJqxySabRCuvvHK7uvd2HIEBCLhCPgCS3trwxS9+Uck5Pvjgg5ZJMQaDCC/TVl/eH330kSpa1QwJkMvA1Eo5jEaEfDTawwjAwiJvYfyU3/jMZz7TdL4vL03Ob3RueBRQniT0L+9ptdw+iy24BRqdU72OYF5NvzjBgDq4WNgR6qey+OB3gEiYenTppZfWa1oXhkhayU6fuOiiizbUXvq89HfGzTVv5V5Jt+XfHQFHwBFoBwLk3PL+hrsDzgoUNzOCtqP9dBsYU4lueu6555JdlLoiSgfiuCK9t+mx9cJ36sXjGSbiARk+fLh6h8Oc/rznyXuOyDEj6YPLhQiso446qpB1WTg/7mlI4/iYYBQghz4UHFqUX4PI0Jn9875D+rd9D1nvg2uPVe+b3/xmqWfKC3jxxRfXz0477aTkG4QToWDyuffee3X8PMx5MUvekyrqKFr8pcakWVrTE4WtEy8mijjnofRgKOB4yqfQJ2HFoVDSxcYjOW4V+26//fZkn4XZhQcQfjdixAglDMP6TH8ogmecccaAMhqM2/rhJXnRRRdFSy+9tIbtMTcUvtNPPz09Jf0OMyr1QSWvT/tibrwsIEEhbNsED4f1wTw5Ly0Qndgxl1xySXr3gO+EGRLeZsJLnfPDsC/2Qf7D9WQ+eJOZEwo5pVSefvrpAe0OdsMcc8yh7L0QvCEsJK+88sqkWe4jmyden7RgKV9iiSV0rHyWWmqpaNq0aVrv1s4Lvd5cM9u+xhprJM1BkhN65mfOnKnHQSBj8vLLLyvRDPcvdVLtXmFxBCssxiMXR8ARcAQ6gQDRTzzHeIby7rz11ltzVcbvuecefR+zFkDx5hnIMxhnAkRvU6ZM6QQMPdMnhmjWgryzcGRIvrjW7C5SGf/Vr34VLb/88okyzrpIOCPUsF6Ek6TexeReh1gwS8CtE/XYs8bi23oUAU+ndwTajUBI6vazn/2soeYhjJGfmH5EIYpFiU2+i5IZi8dSPyussEKy3Y63vxKeHEuOW0V/s2fPjiU0OfMcSL2M0EReBhXniVKcnCNh0BX7RDlL9q2++uoV++64445YrK6Z/TFOCeGPxUucnDNy5MjkWFHWqp4nNTQr+hHPe00sIN0xIjH6kzImSdvyYq5oSwwTsVipdT9/IfKqJ6JEZo5VlNzkVPqR3LTM4+hLlOb4lltuqddVxf6Q1G2PPfaoeq4woyb9QthiUovUTaz0VcfKdbb7TBaHSXvVSN2GDRuW2ZaE4+m5XL/wHkvfy3wXw0rF/DpB6gbJD2OR8L6qWPsOR6CdCDipWzvRbL4tqRwRG+EVv33eq5JT23xDTZwh4dMx73n64/0p4cx6tpREU2I3qWARi2G0iRb9UENAoq9ie46DrxjvY0kPKBQgieCLxfisZICMgevJ+5axlUUgsxNHSuZ7297PjFtqpJdlyIWOo9G1fKGD6rHO3EMuvzSX/BDAA4yXN+tDmHWWPPXUU1ruhFDj3XffXUOFsNBPmDAhgmwDEYUnuvPOOzXPDA8sQtmMsWPHVjSJB5KyHgjW9nPOOUdD+CHpoJ9qXvWKRhr8gnV12223VY8CwtwpnXHbbbcleVGEUuPBzRJRTpUkDRIRvAXkSJtcfPHFFaeEWIAteX2cY9ZdeU5pORq8sFjDwdIEcpxQ8CATkoWQJ4Wntp4ceuihEVEEJuRjYeXG841wnbh2eDcQjmWMzEOUW93G9SfCAKKgdgveaBPui3oCdtTTNRFlX8PTuMcI68OK34zsvffeCUkR5+FpBx8jQhIDi+avIRDrEIVBOCEeegvLxKveyNibGZcf6wg4Ao5ANQR4XhNNNmnSJD1EDOD6vsSrmZcQaSWGVs0dJ3qK9yXvIUQqV0SErJPSw7sVwcvKe/6JJ57Ia0g90y7vGFK7KN+FsG5ifZEV2ZfXpKXiiZYNg9OFdQkRfVbjuyzh33CkwHfEvVZLSLkjCjAryrDWebbP0gpZi4JDo+1AdGdRe/weixZSSXbeeeeuJactGq+W++sxA4NPpwQIhB5yuTGrWhwlJDcZbegh5xxRXipmIvniFV7csEQFlk08j5yHBVYUbT1XlNHEIsu+G264oaJNyS9OxtYOD7mE+CXtSYpARV8Sxp7sE1byZF/oIV933XUrzrnpppuSc/Dym1AORJS2ZL4Skl5xnjCWxt/61rfUKm6ejVdffTXxVnNu6AUPvb8S6l7RVq0vRxxxRDI+IWcZMAa79nj+w6gAyY2PQw+yGC5qdVOxr1EP+cEHH5yMzbzSNFTNQy4LvOR4yZGs6FPSJOIwIqARDzkNSPpB0iYYhIKHXBTumMgHMRhV7AujQMJShe4hr4DJv/QoAu4h78yF5R0rxsfkmSX1xmMhysxtMKL8x7w37D0hRstY0pjq9veNb3xDz8GjLoaDindL3ZP76ABJPauINKRUpiiehSHA+ovoNLu+eJeJasNbXiZhbcaarNZaNb1v3LhxLU2BaMuwLXECNNSOee5Zu3UCP64b4xbDSkfK4jUEUg8c5KRucpe55IcAzJlYubOkVgkTqUNZcQoeRPPiYkXHOh5ayGHTfvTRR9UCizcTDymWYL4jkHNJfeqKNuVlEeHpbZfgZTVhzljyQ4FABO853mMso+SWh0Ludyh4vk2MZIzvYCFhhbqLvPE08yee6LSQu00+oIQd6bn8JYdMQvqT/Hxy9sMcZzzGaW867eL5xoNcS7CKm+AVxktvAokL+YEW2UBuokm1PmFjlZdgrS4r9hk7OBvJz64n3Csm5P+HQj66LE7Vw98u4X7E887nySefjMjbxyNO+Ti+mzi7ebsQ93YcAUegGgK8k3jn/uUvf9FDiCzLswQWkVt4ac3bB/8GrNuNEH4edthhWibLykrCMWPvkmrz66ftkN0SaWcl4+CXkfQ1xawogTGfCEHGgsDLAombOB2KGkLD/cBvw9hYY/GBiNf+T3+3feeee67yBLEuaEaMC8nOIRIFnOpFCth5RKqk143N9N/Ksc8880xSTQd+JDh1IM51aT8CrpC3H1NvMUDgoIMOaollnXCeUF555ZXkK2HmYbh0GnALUacMlgnKZloaCc3mHDME2Pmwn2dJOEZKilhZkfSxhD0RAiR53RW70ozeEJSZmGGB7/aS439jD0/3kfUdpRZFHEHRRiHn4WptE5IUstiCY6ioWpuS15fV/P9v77yj7qiqNj4sFQQXCiggJRBCC71IkJJAgNBCAlIiBEILsEAkyqJJR3pJBEOXBAhVpIUWFgiY0KQYOgKyKIJ0FFGs8Md8+3dcZ74zc+f2ue9tz17r5s2dOfU5c2dmn733s5NjKMPhBsKQIUNKyofHfJoyCuGi3Uif2Q78NcDxWtYZskAveaz+tbSRHUOl72yK4IaGKyGbIl7MiuBy7fprjO8SISAEhECrEICQEwWOzWI2TlF4zfupVd25+zvKjL/voSgSqhM+7yp1Dgs7ZKFsCnuyzErl++kcRgCe4xDZIoSS8axHIR4IYUOHjXOIbxGeZYTOnXzyyS7XeScK6U/rTYHK85mwynrFK9aEsPEex8YUZHsYOcoJIX2UQ8w7pFyxlh2HyC6cK/cHQkw6dT1bBsQANCyFfABAVhf1IYBSmGXcDH/87Ij7WOW8lr3F2DNtUyZUzn0df5PLayM8lmW7Dq2vYblwl3P48OEVme3Dsfk2snMOrcphP1javYTKuT+Gwp+nyBGrzCaAhQc4KzuWWJ/eg754kBchvFhhlfbWXcaYfSEwF/qkq6Jz0bOBEsZZ1ZJhAIXbe1zkXRfVNiHqxY0XXngMEK5nrEW8aHLdsNkEMz6iND/1IqvyQkAI1IIAm4JwjlgojNuUxZKKp07WQ6iWtmotg3KI8sEzFE8p7oFhNopa20GBshC0VHHGboRbbk7Z502t7XZrOeLveaZgceX571OJkfazkidiUfNFQcW7jdRl/v0IrwcszwOVV7youdTSDpg2gquFoLnmieXnvQcuGc+9w5rlSchf4/l38sq14hgbX2zYhcIGATxIeNFIikUg/wootg+1JgTqQiBv5430GF54+GR3XNl5RLHBsu6VUYhEvKBQkU4ldAO3GO2y4wrHkFXmIYPLk1VWWSU5vMwyy6RyZGN9gICOMvVYtfP6CeeFtwDELaRK84I7OORx9IUVwRO4oHTzMkTaOAR3fU+SN3LkyJKXGHJzehKycBy4eCHhAyS7W7zWWmslRGi4zkEsE4p3p+NY+JDhpYId9az4PrPH877jaumt7qwjKd2qCRsVvMwhuNsdcsghSRU2FEIX/Gpt+fOhMp3FhxR4XrAmQJ7kJW+TpdY+VU4ICAEhUA0B4yFxJGneksnzg9SO4TOsWhv1nGeTFEsb+cQRXNMhEzWuk3qaqVgWRRzLMF5g9BPewytW7PKTKE0843AnRgjXI7wq+8xt1TQhPsXbzvePwYB3iyOOOEIbygHovH/6jX02Kdh4RyHHq4B3Dk9amF0nr8RzfKAt5KQbZIMnK2y8ECaSZ1jKltX3OhDogTh4TaEKApBAtJKcJdt9s2nPSHmWFUjBSFNml7b7kEIDcjAEUjOftou6Yeoz0jX5OqNGjYohN0Msbjk2F/HkXJbUDUIbXw/iNYjjEGPeThF8hWnPIAfxaT0Yj+VSd3UQexlJ2jPlNzkekrr5NGX+pN2okzpmcU7q8B/zAkjOQSAHKR4YGUNtTFk/dtuoSNULyd18Gf7aAzxVrpYvlhc26cfyxzqyEU+oZzuoyTlSnzE3fx2eeeaZLu0J/YIX5Ga1SkjqRp8Wy+U+xuAa20MizqaOs5eCVNPlSN1IZRLiAQEOx2xjwxGZhOdqJXWjrq8HYRG/QfNKiEkrFK6RvRQnYwzrUNc2ApJzInWr9SpRuW5GQKRurV29uXPnxrYxndybbMO2pURRpC7jmefvhRBoWVxq4ZMkLROpNH0/9abULHxALW6Q9x/Ib8PUojy3ICEdCOE9izSu4bNx++23j0PC3YEYR7f0Qdo+j5VP6+ffTyFyDYlvwzn5MrxXlyvTCgwglPXvs+Ea+/+fccYZrei2r9vEVUnSwwigBJk7rlM+LcZ5QGbaCoWcgaNMoTj7GwLz4mZlrkPJMUs3lZojyp5X1qmHIugVcc9UzvGsQo6CF96E6MusB+4GteSSSybnsnnIzTqdnKMsmwhDhw5NjjFWi/NKxtioQm4u50neVj/OcJ4cs9Qxueu96667puZm1ufYLPi5ZSsdzCqP9Dls2DBXBaWT/LEhhuCdvcHbTnqlLkrOhQp52Hbe/5m/37TxDZVTyDkfMv6G7XHNsPb+WK0KORtF2XGR9x7hxcWfQznnOmBjJVv+6quvTjCQQl5yOehADyIghbw1i8rLvPFWpLJtmBdUS1/yedYZwWlyX+PZY4SmrZmgtYqSyKbscsstl2wOt6yzNjbMpop5oSW48s41ULnFYcfnOsL44Z9XZpUvyWLTRng6suvw3RBjC4IhxGOYl+GGPO3+nXfbbbcd0HmR9Sf7PhJ+N5f7mIw/kuIQkEJeHJYd2ZK5Myc/qjCFUisH2yqFnDFj2eZhm71RmJtUjKKEIpgVc42LuXmEdYyVPXUzzCrkWMTNJaekH25SoaKVVcjp39yuY4ujLqnLuEOLJ+NsVCGnrrHTXOznAAAgAElEQVS6p7wG/PxQfC3GvqySHSql1Kkn7ViILQ+L0GuBtrzCSTmUYYsRTHki+DGywUFasHqlmkLO3NmkufLKK3NfNCsp5Kw5qfDC69fI52J2s8OHKS+xXiwMIVlnXjyzkn2osSEBbliN2LzIXsdYHELPA+brRQp5Fl1970UEpJAXv6oWBuM2aP39hjSOPEtbJdz7jdA18YTi+Xruuefm3pNbNQbfroW3xaQCbYVVvtVjz7bPs4PnT2iEsOwxJakzs/WK+s6zkGeiv47YTGY8jEtSGQFv6baQxeR3wOaGN/AYx09JA8aFk2DNdTxQgndneK/wXoK8w1pYaGJY4TcuKQ6BeWjKgJf0KAIQd/n4YmJRYN1stRDT5JnJ7QfsyCuqid2YkhgkYsDXWWedslUgo4H0ithp4slhUIe4K8tSHjZAHDgMpDChMybSb/B/Yr0RCNUYQ1ZefvnlCNyIoyGFm7nbOQZsH3tNvJRZwLPVXFqzhx9+2DHJQvZGn4wxS9JleVdd+haEsYQM37VgwrjMjd6lfCNOmTaI3y6Xao5+iGOCFMf/9KnP3BoR+mSexNUTT0SMEzFsoVCGdF6kz6BPCHcgfMmS2NXSP/FWIYO7r0N8PNcZ5GyV0pyxLpDaIZDP+bUDa88bwPpCXAJpC5wDtL3ffvtFtoHg6tmLZRJbD4GNJ4OjfBjfT1nWB4I5ynAdgLMnuQELznEdc12ACeyrXNOsJwJGpDpBuF49e65tGqT4EFyBFgh8BDDBc98IY9la0JWaFAIOAfhAPK8Ev9V+I+gq+jKw3Mcu5ZW/d8AXQoxxXuaRIvomUwYxzdzzEe6hkIcONCEVffMewn2evzyfuHfDKN+NQlpVnkP+eUPKUwj5BiLlG88o+GRMUUugg2l7ypQpESlnJZUR4JkODw7vQrYx5lL8eYHvgGxECDxD4bsvRHnE4iMWjlgxu1DSYJP/4b2E5z68NqTB5V3xpZdecu8t5jnq0rTxPm3GDZdajzE2y4vU5JB7p3pxur1a6kQE2mEh70Qc8sZkynKyC5i1kOeV74VjuC1iPbc7mPuYgtgL02p6DlhvTGGOjdwtZqc65CGwh2hMjJfHLOQGaLrjDm/AyHrcvNndlwiBgUBAFvJiUMbjB+ulD83iL989H0oxvaRbsRf0lIeR5TaPLXdzK7qquU28pfCg8/fvZ599tua6nVCQcDJjok+8DZjHuHHjEj6cVo4Rzwr6DuPUzcAT93p8ftGY2uZUcv3hNRgK3DKEDbKucACEAr8Dx/GsM0NE6hzXhRl0BoQzwAwEbhyEckpah4CS3NpVJhECvY4Au7D2cuQsuPaCkkwXNlRJFGE1Yvcai9xvfvMb50FB3vaJEye6nWHvEYHnAWUlQkAICIFORQDPuE022cRlI8GjDCsmbNhksch6aRUxB7KIkAaJlGmmgDtvICPyjG699daKnmtF9F2tDdJ5Pvfcc87ah6dPmGmlWt12nye1GxlmeH7jbWXuzdFtt93mmORbaZXE88tIuyJzT3d940GGBxoeBnhAGultu6Hpqv59/nEGnWW/J92gT+NL5oEwxar3SiP7QdbTdMaMGc4b8ZlnnukqLDTY8ghIIS+Pjc4IgZ5BgJzgPMhxPfLCi4oRr/XMHJuZCG5iuN/53KK410+bNs1tXngXd9Lq8SIU5ptvps9uqIu7GuL/dsOYNUYh0K8ImO3G5X4mNAYXZ8QIJN1L+4gRI1oCC3mS6Q8FnP4JkeMYKTc7RVBccLdGwUGxYZMC9+/ddtstwsW+04RnjpF4ubUjXRZhU2wQ467eymc2Sj8puNgEII2cMba7ZyJ9e7f1RvJvdxq+Az0en0uccEzjjinp/vDDD3c4YxTwKVEtI05ybRLOlhXKm6eEy2ku6Q0ElIe8N9ZRs2gAAWLOLWWWq+lzlzfQTFdU4eFOfmvir7Hyjh49OjLXbPegl/wPAWLkjFQtwirBSxq5zIk9JK7f0sw5648xy/YVXOSEhzdhILgn+gpYTVYIFIwAm4gomVjCESxvkydPjg444ICW3OeJiyW3uJFQOuutVxrZ2Oz0++SHH37oNlvZQDD3a6cETZgwoeAVqb85Ns6JC7d0ZgmnDfdfYnfzlLL6eyhfg5jgI488MmVxNcI4t77icSiPWy1nvIUcbzt+l1lhw9vc0x3XAoYAPFsstCIplpd/nN81H0kPIdA6b3i13AkIKIa8E1ZBYxACQkAICIFaEFAMeS0o/X8ZeEFsYzmVhmrLLbeMzbJaX0N1lCZjS5gKkgwTtpFZRwvtL2oW/SQbCqktyXzRToHBPMwPT2YY0ou1Muaf+ZI1xlzQkxhnU29iU/5dFhdJ8wjwOwRTPgceeGDZBuE28GlhZ82aFVuoQFLvxRdfTNUjtp80rTfffHNyHBZ2rmliy88888x40003jUeNGhVffvnlSRl+o9TL43W477773Lk8jgXFkJddtkJPyGW9hzZXNBUhIASEgBAQAkKgPxAgG4O9eEf2ou8ye8Akfumll0aW0izJIFIkErjUYhUnYwgZSJC9997bhUJhTe0mwaUeKySx5Xg/hRlOBnIeuKFvtdVWKfd0wslwEYftuhUx/8yPawemdLyfuF4QIzV1YVkw5LeDFX8gcR+ovry7Ov1l48fDMZAdB+4ahFhybyHHok4MeSiEoxCaQqw/Qow/Mf9kVCD8juwtrB9s6HjN+PXFQ5J68ACEQjtY2xmrzwKTKqAvA4KAXNYHBGZ1IgSEgBAQAkJACAiB5hHgBRqyrdC1GSUZoqdWuReT3hIl1qdkJO0Wyj/KbLcKaSbDVF6fffaZcx0mnA1X7UrpQ5ud81/+8hcXUkA/bHQgKGW4p7OWrRI2TyD3M+tqkvqUdKHEjLOxoxjxYpEP04XmuZ6HvRFLDqksfD9+g4gNk2xIpXeB9wo+yjtK+cyZM931TDgiApkhIQ+ktoWIz6dQ5RqA9NEL9xK4ClDkv/xlqYXFXgG1tybka8dKJYWAEBACQkAICAEh0DYE4LiwdISRpWZ0Y1hkkUWcYk5+7VZwgsA9ctRRRzll3/wzXZ+77rqrUxy/+c1vtg2HVnQMOz35nhFz4XXxvDvttFOhXREnDls5seJsACBsAJxyyiluw6NVFnE4BrhOzIXZkdohMLWT53rSpEnRAgssUOg81dj/EPAWcsgEITysJHD9kP+brC4Q6iF5ngq0ydpBVoj4Psia45VxjnvG9mWWWcaVw9KOwh2S+1r6X7cxREaZvL5cRcmAICCX9QGBWZ0IASEgBISAEBACQqAxBHhxJnUlzNso4yjfuIvj8twK4jaU76uvvtoxbnsCtKWWWspZVm+44YaeU8ZZFRirIaWzvNsufdv48eMdsWcREjKYozihjHsGc9bwkEMOaYkybrmqI1zgcUfHXRllnE0cXJxR0i3PuJTxIhY4pw2s1j4tGcpu1tKdrcJvmjCFULJu7qwfFm/a8xtwWMxpG6U6FMohKPkI1zUeNKFCDpktmWMs7jxVV18GHgFZyAcec/VYEAL+xsQN79NPP43mnXded7PBFecb3/hGQb2omVYhwAsK7La4X8Jwy8se7Obe8lOtX5hJl1tuOVcMywYvrFnhQTP//PNHuFfWk7qLl1F2qY3wJsK1kF3lwYMHu3jNvPyvuJlRFvcw5WjNroK+CwEh0CgC5PjmPnn66acnFlWUK9KMGWlTo81WrEfarYMPPji6//77XTnuf3xnDJ3OoF5xYjWcxG2YuHIUVSyaRbjwgiMM5iFzNjH3RtqWWDlrGFpdRYgTxvIJc7ffVGDtyBd/9NFHl+S1rqtxFa4JAd5LeK9BjGixpjp77LGH8z7hnRbJurkbwZuznoeKOgo5mWDIUx8Kx+GVCOPCV1999SQlItflrbfe6kJP2sWhUBMo/VKoUIo4NdZxCPQqy/oVV1wRmxtOihnUfrPu+9e+9rXYXOxiS8vScevRzgEZwUd8zDHHxHaTbucwkr7toePWyx5YscXQueOnnXZa7pr6tQ3/WkqupC3+n1cmPAYTsMXOVb0uLH4rxSActmGbPo6JFCxDMRKc5Np74403OgJfDUIIdCMCYln/36rZhnN81VVXxdy3/D3INhfjk046qeo9rNF1NyUgNsUx5j7n+4Rx2zYnG22yJ+rBlG1kWbHlLY8tZVrNc7K4+9hciFPPpuHDh7f0GcyzaLvttksYu1lHU8piixHPZdeueTIq2BEIXHLJJe56sjR1bjzvvvuu+26W7tT4yL5gxoN4iy22SB3n/gGbO2zsXNPmFRJzr6kkYlmvhE5x54gJkvQwAr2mkHOTMfe8qsoXNygehF7R6+ElrmlqFgsX2w6ow23OnDk11WllIcvxHRt7qBuPxbUlXbVSIfcvmLaTHPPimSekDvGpR3z5vL/mAhbbLnWqCR5slDXLR17TOiYEhEANCEghj2OzXMXmbZM857gnjRs3LjYX4xoQrL/IF1984VKnmSdR0qdPu1XtZb3+3rqvxl133ZXggpJz9913V5wEKcN4DoTPDiOQi43BPOYdphWC8p/tk7GigJmXVyu6VJttQMDCVGLjGUiMAqQ+4zozZvbUaCwMwh23rAip4748xhnS/dVioJFCPjALLYV8YHBuWy+9ppCjvIUPOV5SjIQlthQssbFLxkaKkTpvRCltw76TOjbXuwSXTlDIjUjGjQdLTPiyECrkvMBYrGLZT5gvM7SQo3Dz4nPttdfG7CZbrFxsaWVS14Ux6ZYsz3XXXZcqQy5fXsS4ttiNtnjC1Hk2hkIh36e/Nmt5yJUMoEMPMH9tbHXo4vTgsPpZIbfwq5JnmIVguVzRrRLucWFOcV72ubfVYwlu1dg6pV2U6FNPPTXxHLDwp9yhce1mc3oPGjQoNpfgltxDyVFuLumpzRueQfRJDnNLhZc7Th3sXgR4lzM2/mQCeLSw5nhxhGK8D+44v+9QvKJuoRixkQjWBARef7SFZ6qkdQhIIW8dth3Rci8p5Mb2GlsMVKL0cCPKCg9OlC2vGC222GJl3fuMVCV++umnY2NTjXkRwkpQTix/o3P3Ci2r3AAtdtjtMBp5R6qqxUW78nyyllRf0NhWkzLZByfzMOINNzYe8rgX5QkPZN+Pb+O1116LZ8+eHWOFRpHivMXWJ5gYS687lh0z7VvsoLPO4PZWzoqMxSQ7t3feeccprdmHQt6YqYsLHWvEBkoooUKOq2StEirkRnqUW82YbRMM6Dt8yQULXrL8dbP77rvnunEZ4UpSxuLT448//jjpi2vEu3qyUdQLYnGqbr7sykuEwEAg0I8KucWFxnvuuaezWPl7kMWJt9SiyvMF12bfH39xbw03OgdivbupD7CxNG/xBRdckBo2x7nnh95VPE9QinkXKFoImaJt4zVJrZ+xbresz6LnoPbqR4D3FMsdn7r+eGcy0r6Sxgh34ZrkvTkU3hktS4ILv+BdrFZ58sknc98Za62vctURkEJeHaOuLuF3tnjYonx2s3jlgLlYupWyDzp2AImnuemmm2IUxaygqPLyQzxe+DJiRHCxEbnEKMpZIS6dspavMzbSMbcLHj58LW1JPH369KTagw8+mLRNu3kKtRGEJWXYQfdCDPOQIUNSYzN2zNhyhJYo9yiVfg7cqPEI8ONiBxQ3xHCO4f+xIHthvLhhh+epz037gw8+SMHBd18OpRl3eMpyjL7xVKgkPCh8/RAz6rRSIWeTI7QEGXlPMkw2KfyYjPm2ZM6+IAq4keI463terLi3jmBlCpX1Snh08jlLr+RwsVyonTxMja2HEOgnhRxXUO7boSLOJvLUqVNbYlHlMuG+te+++zq3V3/P4744a9asHrqKBmYqPF/ZmA2fm3CioLC3gsMGAwv3ZP8+4vslvIHnKsqWRAgIge5EQAp5d65bzaNGCUE5PeiggypagGtusI0FQ5fhnXfeuaGRGOtlEksdPkTD/w8bNqxE8fUPQCy7nkwuJL6hPsroE088kYxr3XXXTR7Ulj4mNV4erF5xRmH31m1cgkJF3yu6fnyMLXzQhwq5MWym6i677LLOnb/cPL1CjgKNEurL8aIWjoHNgdCtPFTIeXkM64JP1tqfXajQg4H1CCVUyI1d1MVJ5X2y1v1aLOT0Y6llknluvPHGSdeQAPr502+jEo4fV8JuFynk3b6C3Tf+flDIsU7jhRMq4sT7nn322VXvn42uqGWhcMocm7v+XmfprxyHR/Z+2mgf/VAPD7E77rgjtrRTqWcrawnhZ96GfjO4+P6MUT/1XOY5bTnSnTecRAgIge5HQHnI7cnUy2KKVWSuupHF0haSvqOdWJk7dNI9KajqFfu5uryiZrl0VcmvalYBlzLLdpeTtA+kr8rmgvR9kTvU3MAj0lyRY5L8oT6tBe3bgzoZlsXnJP+3+OLUcPlOeYQcoabwRxaz51KScJx1Y81IeWMsmknKDMZ23nnnpdryX957773IGHldygzW3Eg7XF5Vc3tPpfz62c9+5o6Ze2Jkyn1k1pLI3PVdMyeeeKJLrUOqL3thdMfMohKRNzVPPvroI5fDlDbp99hjj3VzKSfMjb4RypmLXbmikW1uuPR1eR97cS1br9IJv1aUMU+JpGiz15ZvyGK7kjb9PCuNR+eEgBDoHwQsFCgyi3i0xhprRNdff31kG+YuJ7QRb0UWahTZxmDF+2cjSPH84LlCStDzzz/fPbdIf8W9mns76b1IGSqpjIAp2u4ZR8o5csHbxpGrwPOJHNCsJWnNSLNZhFgIlHvWG5eK648UVTw/zRsvMg4Wd73ccsst0ciRI4voTm0IASHQbgS6f09BM+gXBEKXahgi6xVio+335j7Eomfd2cPz7Hbj2u4ldBHDRTsUT6pBu/vvv39yip1yXOt9n5BjIcSq+1Q2WKJxsUeICfNls3HQlp87OTd06NCkj9BCTt3bb789ORf+pxypm2fcpC4pMELB0u1j9mFE9+5woYWceqQvq1WIWfJztHyYJdVqZVnPkvXVaiEPMYZ13svo0aOTcRHO0Khg+fLzg4yp20UW8m5fwe4bf69ZyLnfQ06Jd5O/N/CXMCfuY9kUikWtmG2WuhCsMDTLNk+dlTx8thXVX6+2A44wlePBEK4fxFq4icPTMnfuXBd6YDmdm4aBtrC0Z93S4RQQUVvT8KoBIdCxCHzZbjASIdAVCJhSmIzTiNLqHvNDDz2U1DEG7cSy7Q9iMTYilsgUdbfb/eijj0bmGl/Sj7mip45ZqpjccbFTPnHixGjy5MnuPFb4M888MzKlObHOMg5Tlt35p556KmnHXtKirBWY9owgJjJ394j5h3j4ivXulhuvQNKn3aVK+sSSYoq5649+8SrIymabbZY9VPZ7aJXGslBJWIu99tort8iIESNyj1c7yFy8hPiFY8FDoFEJ27SNi0abUT0hIAS6HAHumcZ0HJkSFRnvSDIbCyWKDj300Gi//faLLMSn8FkaMafzkOJ5w/MC4dlhYWvOGh4+rwrvvIcaxBsNLzULPXKeZAiea5axw1mozYU8mS2eaJZ2KvluPDDu2WUu5c7KjVW7kuC1x3oZp4p7znrB8m6bxZFtorj+6F8iBIRAbyIghbw317UnZ7XccstFuPwhZm0uO0cUKiNJiywnZ2RkNUk53LC9WLx1bn1cmlHIEbPm5pbJvkRZTF5uOQ4efPDB7uXI4sCiGTNmRJY6JQrd1znvBRc1L0ayFvHJExRnY84sUchRKvOU9Lw28vrE3Y5POfGu/tnzKM61ijG3J0VR9iuJxepHp59+eqUidZ+zPL5JHdr3wrXlpdK1xUYNGyxspJhHQckLUjinUPmve6CqIASEQFciwMbqZZdd5lzSw3uAEW9FxufiQoGMG6TwudGvkcG5fnneILiiExKFS3y5Z17hA+niBnHnJ+wMHNmQ92I8KZGxq0fmDReZp0PVGRpZnwv9QskmdMks55Fxk6Tq8Swh9M34ZSLzVEs2TyhE6BkKvVnKI+NwqdqfCggBIdD9CBT/VOh+TDSDDkUAC/Y111zjRodijgXSWM9LRms5qF0sHh/i5iylmYuZC8t6pTtb2YhvkkNGWJY97b7zcK5ViHUfO3ZsxI4542UX3ccWYylh08BLqOhbuoqITzkx97mSU8b2WnKs2oGwTyzdYdx7tq635GeP19Mv8ZJeePkZSOEllTg8L+ZSnvyfa8vylbvvWCief/75yEIkSobH2h199NHuw+YNL22so5fQum7hCiX1dUAICIHeQwDFG0UYRTz0dMKiaanFIsvo0JJYX5Q6ni1TpkxJYppBl41ZlDks8SFvRu8hX8yMuOeziY8CHW6M8w6AJwMb5/VsPKO44yEBtwrcLuecc46L90bgneFaMVLVKNwgZpOGa8XC3iJLBxoZaVsxk1MrQkAIdAUCUsi7Ypk0SBCADAeXO8jPIFaDjIyd55BEhQccZGZesHx6q6Wl6EqOG/t4BJFXqEzdfffdiSs5loVG3aKzq2XM3u6lCYEszmKx3f9xIQwfurjC4x6HQOYWKuS4evNAt/hx98mzhFci5gk3EUJFOHS/xyMAF33c5BDcHXlJwcuAPvNcHXnhrGeDItzkwMo/UMKLK8R0nrwNrwZefLzg6m8x7ZHlA3aHeAnjGgldDfGwYC29sAahlZ3jhBp4ydssSk7qP0JACHQ1AngqQeyFhRMFK9yM4z6HZfqAAw5wm8JFC55GbE5D0ga5lxeURp4xKON5z4iix9HN7XlruKUuc5Zq1tMLz342p3keVnqulps/dQg523HHHd0mjWUWcVZ3S8WasrxTnzXbY489nNKffZ6Ua1/HhYAQ6D0EpJD33pr27IxQvC0XuXu48fC85557nBI1YcIEZ/1ml9vShiUvRiiKocszFmDYbV944QWnbGIVJaYbFtPf/va3jnXWC6y0oTW3GVDpx/fr3eZRCIkvD8VyfjulkXg1NgfYVZ80aZJzP8TSgeUf2WabbSJLVVYypErxZaEr9b333utcrQcNGuSs90Zu5pjnn3vuOWfJOfnkkyOs3liBeeFDGD+eBtld+0p9lgzQDoApmyAoxq+//nrCKJ9XttFjzMNytifVwRxXfPrzwtxCiwebELyYcY2w2WPEOi5efu+9947Y1GGjh1ADv4nAvHnhys6f+E0vtbg2NjpH1RMCQqA9CBhxo7sXX3fddSllmNEQS4wybMSQhbFth7P07vD0zaatF7x5eGZxv6oUQtUexDqrVzBkE4XN7zAMC28xsrCgGIfZMhodPZuzhD8ZIatjSfdhBLTHuwnx5WwKb7755skmeKN9qZ4QEAI9gEDH0s1pYEKgDAKmOKVyX9vPMMV+ynfydxuhTkkLMJqTOzuvjj9m8cGpXN80EjKemnKWaveCCy5I2oNpNU9sIyHVp7045RWLjUSmJNco+Ub92Bi7Z2ungZBlnfzo5cSU/5I5m8LvisPMHuYSNyUz9R2mdQsRSJoOWdZho69XmLufj8XapaqHLOvm0VBz0yHLeqW15ZxZPmKzmOe2PXPmzIRZvlw74GPu7bn1LW1cMrc777wzt0w3HRTLejetVm+MtRNZ1rnn2+ZtbBuTJfdR8xyKuf/4bBlFr4K5PsfmqeSyYIT3JO69tjkbmydP0V32XHuW3i22jebYvBVK1g+2dJ674Nys0AaM+mY0iG1TO9UXz1jb3E2O8bw240CzXaq+EBACPYIAFiqJEOg6BMwKGps7WUwal/AlBUXc4rDiJ598suycbFfcKWWknQnrkorMrJ4uLVlWmlXIzZqR6q/S+My9veTFD6Xc3N9iy5meGlqtCjlKvJHDpOZr1vikLSOQizfYYIPUZgCKpzG7upQuoTSrkPPC4nE3BtpU2+bRkJzbeOONs8tQ9nslhdzI7mJSxrAREG4slGvMLOmurLl8pvDiBXjTTTeNSY9XTnhBZm7UJW1ct4sU8m5fwe4bf6co5Ba+Ep911lkx9yHuheGzgueOhRTFRgDm0l4VLWwYmtdWbJ4+sVluU32zAUDaT5RMSXkESLFJilJzPy9ZPzA0gr3YvL7KN1DjGfPAcunPuB6yqcq4ZsxrwqUr47lJKlTzdot5lnCO+6tECAgBIQAC8/CP3RgkPYoAsbPElNmDwLnktoLdtZ3Q4d6NKzJuycTM4X5uL0s1DckUb+eKTOw0BFzE+mVdkGtqqEWFIIHDtZv54ObdbEwgP3XS71heVRerBpNrVnDJpk9cuOmzKLf9sB9cwukfLgBIbO66667sMDriO7H+uKDj1og74/LLL19xDSB2wv2faxJ+AFLmdLtw7yBsYf3114+eeOKJbp+Oxt8FCDz++OPRhhtu6EbK768VMdh5MPC7hSzUPFscN0mW+BNXcLIrwO1BbLEpX3nNNHUMF2eIP4lJD8NfaBR3eNJfEdrUSFxzUwPrksq8B8yaNcvFasMBwrPGi18/2MthTK+H+yQ7fchf4YUxj6ro4YcfTrmjU5YQAq4TYsPDDB6+Ha4zmNW5v/rzPD+qZR7JjkPfhYAQ6B0EFEPeO2uZOxMUsAsvvNCdI8Ysm0M7t1IXHSTWebXVVmtoxDyQUeA7VYiLL5IYjM0GHv55LwgeA9jb8xjci8SIl0nIjsw93aV2gwwpm0quyP4abYvNKwjtwtR5ldqC04CXenAmjlQiBIRA5yLAhpt5KkVz5syJZs+e7XhE2LgOZaGFFnKcHcQAkw+a1JJFCzHG5jXklPBs2knI4YhH537Syc+qojGppz02TuBcYSOFe7AnTfVtsJEBhnDNNJr5gvhvNiRpH/4W4tBDWxYb2KQ1g8SN2HA2byvJ8OHDIz5eIAtlA5eNXLhJpJhXQk/nhEBvIiCFvDfXNZlV+HDKPqh6fOqaXgcjQD5eGNyxyFusv7P8dLsYl4CbAhYscpRLhIAQ6BwEYNWGmJJNQJRwrJRhnnA/UjYsUcAhvCQ1YjOW1HKzN3dzl+8aCyvjwJPNC5uTWHDJV24hQz3n1VYOk4T82roAABuFSURBVHqOkw0DJRxPBjZVssqxhRk4LwYU5EaZy/Hgeuihh5yijxdXmA6NsUJwamFezhIO0Wwz6eWw7HMNQFqLwk96TuUfr+eKUFkh0P0ISCHv/jXUDIRA1yGAKzwWciwCFl/nvDeyDO7dNClY2Xl5I7zA4k67aegaqxDoOQTYfDbCSJctgY9xbUTPP/98RJhSVggFQvEmw8JWW23lMncULShbbAZ45S7MVU5f3PvoH0suFlZZSNMrwMYJXgwoxlipcRkPJVSOUZCXXHLJupcQ1no2R8hCwgc2/ayQBpNNEjZrxowZk0qLmS1bz/fp06e78DCs5ITRkeKUXOYSISAE+gcBKeT9s9aaqRDoKARwWyf9HJYr4rSLdM8f6Inywogizst8oxaZgR6z+hMC3Y4ArsQoMKS8JP6avyjipD7Mup/7uaLskmd65MiRTgkmjKsVm4GkvfJKJIokFtdQiGk2kkhnXeWDsif5HwKsK5ZvrxyzoRKmDaMU4Woox1jC8Wiol++EUCnc0FHCH330URcLzrMoFFzR8XaiHz6sVys8JuAjuOiii5y1nZzopEND2FiC44bQBYkQEAK9jYAU8t5eX81OCHQsArzskF+9F4SXez69Jv7lUyRSvbay3TEfFBJirPm8++670XvvveesoxBPonxDfJZVosKZwQOx6qqrRuutt140bNgw93fttdduiRs4GwDEoXsFD9f4rEUepXGLLbZw1tUddtihJTHp3bGy6VHCvYHSjVKMcsyHDY2swOex9dZbuw/K8fzzz58tUvY7GyIo+bSNSzgeC2GogK+I8kvbrBGfehX9sgOo4UT2OUL/9913XzRp0qTIUm3WTFhbQ1cqIgSEQJ0IsCnIZhmGJEIu4RgpUqSQF4mm2hICQkAI9BAClh7QWfb22WefHpqVptLJCIRKLISdeUpT3vghXFt55ZUdCSNWTZRv/taadSOvzUrHLOd0ihQOZS+Pp8VSLiYx6RB5tcIaX2mcnXgua51mEwOlPCt4M6Ck4iKOEk7mj1qEmGxCFQgN8H+zbu6+nUGDBrmQBbwm+LCB0ynCb4Hrf+rUqS62HO6DvOwonTJejUMI9DICZCiyFIeOs8JSELvwmSK9V6SQ9/LVo7kJASEgBJpAALbga665pokWVFUI1IfA+++/n1TIKuNYJCDPIiwE5Xvo0KGOfRwlvJUhLyhGvICh4GFhRYF85ZVXcjcLLMe1U/BwcYZcrNEsIPWh1rmlUY6xRvOBRZ6/YJeXcZdNlY022sjhRjgBzOXVNjB4SYYfIFTAyS5TTrhuvPLNOg0ePLhc0bYfh/Tv8MMPjy6//HJ3/cFTsuuuu7Z9XBqAEOhHBNgMO+WUU6ITTjjB3cfwpMHbphlCxxBHKeT9eFVpzkJACAgBISAEOhCBkINh8uTJLv82JF1YMltl7Q5hwC0ehZHPCy+84BQ9YtKz7ue+zqKLLuqsuCiQfNgk6EfBnRMrNMpxqHyXs0yDES+yKMco4PyFg6OcAk47rAlka/AF+L8o/OWENGdcP3wIWUDZZ8OkWwTCwWnTpkXjx4931yKs8RIhIATah8Dxxx/v+D7IDMT9iHsXSvkKK6zQ9KCkkDcNoRoQAkJACAgBISAEikaA9F9FvOhkx0V8MvmrX3vttUT5RsnjBSsvdtnXh0iMGHQfk46ShwI+zzzzZLvo2e94MGCtJX4//Pv6669XjOdHuQQ7jx8KeGidhuUc/OEH8DwB/KUfjuPmXkl4SfbKN+vD/0lh1wuy+eabR3wkQkAItB8BsgLhzbPvvvu6+xX3sl//+tfRGmus0dTgpJA3BZ8qCwEhIASEgBAQAu1GAKKdTz/9NPXB2h2SwvF/lLy8/OPZ8UMYhrINCzsK3vrrr+9euFrBsp3tux3fsXDDFwFmfCDR++CDDxx+HOcvruDVFGPGjmsniveaa67plGIs4bDK//nPf3YflHcYzunDK+CVLN0hHij2rAux3oQq8CEsQHm723HVqE8h0J8ITJgwwT0LSFXJfRL3dXgeCLNpVOaxOJ640cqq1/kIsINNzBTCA5CXCokQEAJCQAgIgU5EAKZy3AAR4sJhSs+6ixNbDoEan88//9ydz8ab1zo3Mgig5C244IKpv7jHt9PyjcUe4jjmjxu3/5CdghdBxub/+rmCRx4O4OM/lAm/+/+DYz2vg/QfjovvjM2nJ6O9PJK7WtaFdsGfDynBWB+/RgMRtlDLGFVGCAgBIYDH0GOPPebue9yPp0+fHu21114NASMLeUOwqZIQEAJCQAgIASFQNAKPP/540iSWh1YLiqO33La6r15qH+Xdb4oUPS9ebrHE12KNL7pvtScEhIAQaAQBNjePO+44KeSNgKc6QkAICAEhIASEQOcgcMghh0SQuaGMkfYqFKzFXrDG8t1/sE5k/9/N7uXEt2MhR/FFQeWD9Zu/XhkuZ9HGWh1i5b+HeIX/xyKNpwDx87jzUz7PO8CPhfK+zbAvb7H3lnO+0y4f/s+HdZMIASEgBHoBgU8++cSRfnJf5r537LHHNjwtWcgbhk4VhYAQEAJCQAgIgSIRQHkLU58V2bbaEgJCQAgIASFQBAKzZs2Kxo0b55RxSN747sOtGmlfW5WNoKY6QkAICAEhIASEgBAQAkJACAgBIdBXCNxwww0uDSFkoosssohjWW9GGQc8Wcj76BK6+uqro9mzZzc0Y1wx2Aladtllq9aHifXmm29OyF2qVihTAIbWbbfdtszZ/z9MHNuMGTOiWllayzUIeczEiRNrynX76KOPRo888ki5pmo6jqvf6NGjXe7VakKM4zXXXOMIjJoR1m+33XarqQluODDgNiNYu2Ch/Na3vlW1mRdffDG6++676yIWymt0+PDhNd0Y//Wvf0VXXHFFRLqdZoRct6S/4DdSTWDhJE9vM0I/u+yySyplULn2WL+bbrqp4d8i1xtrcvDBB7t1lAgBISAEhIAQEAJCoJMRIFPEf/7zn4aHiD6w+OKL59bnXRxdAd0D4tEiUp65jmBZl/QuApbDExb9Qj477LBDTUCNGTOmkP4s1iz++OOPq/ZpCkch/YHTueeeW7U/i+OLjfG1kD5t06FqfxSYNGlSIf0xx6eeeqpqn3Pnzi2sP8Zei1hKoUL6ZG1Yo2rCWhf127ANqGrduWuZa7qIPseOHVu1Pwpsv/32hfRnO7819adCQkAICAEh0D8IWHhJbK66/TPhLp6p8VLEc+bM6eIZ1D50S7XY1LvPUUcdldvZeeedF5sxzbVtKR3jN954I7dcIwdlIWdXoodl8ODB0U477RQ9++yzTc0SqxzuGbUI/f3hD39o2Crn+1hnnXWihRdeuGqXpHIbNmxY0xZyCIRGjhxZtT8s21gLsXY2I7RTq7UaS/p9993XtIWc62HFFVesOmzKbLbZZoVYyBl7LQIWWK3tRlZL8bJl8KrIIyTKVmCt8cKoJSdxtm74Hes/11814VrmN/TMM89UK1rxPL9FfmO1COVIn+RTEdVSJ1uG/vbZZ5/sYX0XAkJACAiBPkbg7LPPjk4//XT3PlTrc76P4Wrb1D379/nnnx+dfPLJLmd2L8vbb78dvfvuu01NccMNNyypT9aPww8/3L2jrrLKKu6d3BT/knKNHlAe8kaRUz0hIASEgBAQAkJACAgBIdCHCJATnhhaQpouuuiiPkSgO6Zs3nnRYost5gZ71llnRT/5yU+6Y+ANjhJXdVzW82Tq1KkRGxPI5ZdfXtYIh6I933zzpZrARR3DEe1feeWV0aKLLprXRcPHZCFvGDpVFAJCQAgIASEgBISAEBACQkAICIFOQOCrX/1qNGTIkNyhWBhvcny77bYrGyeeV5lUkfBjtUrEst4qZNWuEBACQkAICAEhIASEgBAQAkJACLQVAVzNn3zySTeGFVZYoS5lfCAGLoV8IFBWH0JACAgBISAEhIAQEAJCoMsROPTQQ6Pvf//7CafNvffe677zycbuogTNnDkz2nnnnaNBgwZF888/v1OEiGP++c9/7nhj8sTI4pI2+f8nn3wSHXfccS52FwbsJZdc0mXhIY7XC2WOOeaYaOjQoa4fXIq32WabVJmwrx//+Meuj1tvvTX673//69y511prrQg+oSWWWCIaMWJENH369JrYuu+55x7nzkwmG9/3Rhtt5Nr8+9//njfFaMqUKa7/iy++2Ln+H3jggS6FFnMbP3589NJLL6XqPfzww9FBBx3kuG/griGLDVlevvOd70SHHXZYFFp/fUXi+/fff/+kneuuuy7BlTkjjJFx/OhHP8odJweNKDepR8amUOCo8usPX82NN97o1oDc3N/97nejq666KlWea+KWW25xXDhLL7106prApRwsWiGvvvpqwjW1wQYbtKKL5tpshAlOdYSAEBACQkAICAEhIASEgBDoLwRWXnnlsgzWpkQmYFgq2njUqFFly5r2EpsCG5tCVwKgKU9JPVPeYlNSc9shc4kpfLGlTY1NucstAys2ZbKy0korufJHHHFEbEptUtcUyVRGFCMYjm2jIVvdff/ss8/i733ve7n90jYf24CILVVuSX1TSN15I02NyWLky/u/DzzwgKtjmxaxpTotOZ8tbzHP8W233Zbqx+L8y9YzQltX1ly3XRmzGpeM0R+w+OmkHVP+U+UsNWpyjowz2WwytrmQlLcUvrERBpcdE+OAvdzSw5YdS6MnLD1y0u+FF17YaDMtqycLua2+RAgIASEgBISAEBACQkAICIHKCGDdtNSoCemVKYvuOx9TplxlrK8wr99///0u68kPfvCD6IknnnDWYgi3LrnkEmflfeuttyJT2iOYscsJWT5MuY+OPfbY6He/+11kylpkaUudZRXLLdZh4oGxkJ966qnR448/Hv3+97+PzjjjDGdFNg0qMqXbjSlPsMpaOtiIeVgaq+jTTz+N/vrXv0ZnnnlmRNwwmVGwxkPqFQrWYKy8pgS7w3vttVdkirer/+GHH0amADoWbv6/9dZbl1i8fVum0Ea33357tPzyy0dY7WkHqzeZbpAjjzwyiV2eMGGCw+Cjjz6KTLl1mGM1NyXYzQ8rO6zqXh555JGUh4CloU3WCvyKFgj+wJxxMhes+d5CDxkaHguzZ89218QPf/hDd03YpobzrIAYEIv/m2++6a6Jd955p9DhcV14yWNRL7SzRhprmaqvhoWAEBACQkAICAEhIASEgBDoOQRMoXMWR1PCSuZmymxVa+Qrr7wSewuupQRNtRFayOnjrrvuKunDFPSkD1MCY1NOS8ocf/zxSZnHHnssdd5byGnf3M1jU+5L6k+bNi2pb+zcqfO/+MUvknOnnHJKSV0O2EZDbG7ortwmm2ySKuMt5JzbeOONnSXcix+LKd6xbQq4+lji88ZIHVPEk7E8/fTTqX5og/p8zD09dY4vRVrIv/KVr8Sm+Kb68GO2zZJkHJdeemnJODhgGymxv67GjRuXW6bRgxaO4Pqn/c8//7zRZlpWTxZyWx2JEBACQkAICAEhIASEgBAQAs0hYBpLdMEFF7hG1ltvPWcJzRNzfXcp0xAsxOUsolgzsYBnBSuqF3P5dlblrJgSnBzKxrf7E7Bymwuzs9pmBevu6quv7g5nY6F9+iwIwrDe5wlx81i4kYceeih64YUX8opFtnHgLP5e/FjwKCD3NTHaxMfnjZE6m2++eVIXC327ZOzYsS5uPBTGjCcDGCOcx5KfJ6uuuqqz+CN4YsAfUIT885//dF4TyLBhwyLbOCii2ULbkEJeKJxqTAgIASEgBISAEBACQkAI9CcCkJH5PNBjxoypCMIWW2zhzqOwPfjgg7llhw8fnnvc59bmJIp/nkAs5sWsonlFnDKLq3Q5wfUeMcuzcxNHUBS9goc7+5e+9KVy1SM/Rwrgrp0V3M3LzRE3dkjXfvWrX0Xrr79+tqr7/tprrzm3ei8on+2ScAMkHIPF+DvXfQSlvZL4zQWuCTYxihDY1X3IQUcSutkklYe8iJVWG0JACAgBISAEhIAQEAJCoM8RQEH0glU0y8odwhMqyX/84x9zkSPWPE9QZL18/etfzytSUVH2FVZbbbXcuv7giiuu6P6L5f9Pf/qTi31//fXXkzowl8+aNatsG8Sae8mb48ILL+yY3asJHgTmdh+Zq7/7gDPM6sS7h4Ii2y7BIyBPwmsCdv0rrrgir5g7Vss1UbZymRNh/LgU8jIg6bAQEAJCQAgIASEgBISAEBAC3Y/A3/72t2QSWJS9VbnazMq5WpPmrJqUc+WuVo/z5ZR5Xzd0JfdjDOcImRyfWiSs58tXmx+KOG7/d955p9sUCIV5r7322tEyyywT3XHHHbUMoaVlys0lXNsirol6JxEq5FmX+nrbalV5WchbhazaFQJCQAgIASEgBISAEBACfYRAqJTBpr7VVlvVNPuFFlqopnJFFyqXC933E+YR927y4Rxhc991111rGtaCCy5YUzlfCHZ58pljmUfIw24EcM59nZzpfKdNlPVmFfIsi3w4UBjSm5EQr8suuyzlxl+p3aKuCdjckcGDB7s8750oUsg7cVU0JiEgBISAEBACQkAICAEh0GUIWG7xZMRYQ4cMGdLRM8Dtu5K8/PLL7jQp0LBEI+EcSUHWqjlOmTIlUcZJw3b00UfnDhXF3Uu9yrMnOMuz3vs2a/VyyB1cBi/G2iq88vonlZ2PX+9Ud3XGLVK3vNXTMSEgBISAEBACQkAICAEhIARyEfBu4tmYZVyovWXzl7/8pSNsKyeW/spZLSEDI2d2O4Rc6eWs5FiNfZ5xyMa8hZt864wbufnmm8vmOOf8jTfe6BR5iNvIOV6PkNccmW+++RK29rz6c+bMSQ5n5xLG2uetBTHsCJ4AYbx72E+zawMDvg8N4JrIut6HfZGPHHy5JoiZb1bCNqSQN4um6gsBISAEhIAQEAJCQAgIASHQEQhYDnE3DizEoWBJ9qmrYFy3HN25433rrbein/70pxF/n3/++agauVpuIwUcJL65XNqyk08+ObFQZ1N1+XRuxHiT2ixPyQQbrNq4nD/11FPRmmuuWdeIvfUaojNv5c028MADD0TXXnttcjirkIcx8Nm1otJSSy3l6qKMz5w5M9t8hEUbHJoR5uHxY61PP/303ObefPNN1xfkdzCzkwatWfHu6rQjhbxZNFVfCAgBISAEhIAQEAJCQAgIgY5AYPHFF3fjuOuuu6Kjjjoqmjx5cpJL/Ljjjkvyd6Ng7bbbbhHEWqTkIh84zOubbrppomSec845kbfUtmNyU6dOjfbcc0+3MfCPf/zDKYMTJ06MTjvtNDecHXfcMdppp51SQ5s0aVKi4JF3ffvtt3dpuqj/wQcfuFRlI0aMiFAykZNOOilaeuml65qez7+Osj9u3Ljo2WefdYo/n1dffdVtJJB2LdwM+Pe//53qA4XcW6evvPJKNw5SqTFOhHl5b4d99903Ou+889z8+Vx88cUuvztu3+XY7mud0AknnOBi3hH+v/vuu0ekI/PXxIwZM9w18fHHH7syuOuHaetq7SdbzlvI8TLAe6NjxRZRIgSEgBAQAkJACAgBISAEhIAQqAmBE088Ecrv1MeU0KSu5SKPjYCspExYxyynsSnyJf2ZspnUs9RpJec5YNb3pIy5vueWmTt3blLm+uuvT5VZaaWV3Ll11103NkWx7DjHjx8fm9U5t32zHsdbb7112bq0bznK4+OPPz42d/FUG6YIu3rmzp7bNgctHjy2POap9k2xjOedd97kGGM3K3BsSrc7tvfee5e0t88++5SM0RTVpJwp6SXn/TrRn6UpS8Zx2GGHpdo3N/yk7j333FPSd3jAvAniDTfcsGxf9Mk1ce6551Zsp9aTrJvHysjxaq3WlnJfMneRnxoAEiEgBISAEBACQkAICAEhIASEQFUEsGZ++9vfdvHTxFbjXmzKVmIF5Zgpgo4NHMGV+osvvohg3B46dKizmmOxHTt2bElfuGi//fbbzo191KhR0QorrJBbBldwymy55Za5RGEQnL3//vuujCnOCSkbjZEjHXdsrKbEkWNJxjqLhRlLNjHj559/fnTEEUdE3nU8OwjqTJgwIfKptKjL2DlO/vJddtklmjZtWmRKfWKF9m0wdmLt6d9bwrPt4/6PJXmJJZZwMd5gSBw43gmMD0szMdfk/6Ys7ZkCGo0ZMyYKY8dHjx7tcp2DP2VwnSem3ZPTjRw50jGfM37I3egDV3as56wR2OFGvuiii7rYbr+mjBcLN2nfwJh+uCbKCZZ6rPBrrLGGK0J/jImxYT0HJ/orh0e5dssdJ5zAXyM777yzs/Z3qszDNkCnDk7jEgJCQAgIASEgBISAEBACQkAIFInAyiuv7Ny+cfmul2ytyHGoLSEAAmJZ13UgBISAEBACQkAICAEhIASEgBAQAkKgDQhIIW8D6OpSCAgBISAEhIAQEAJCQAgIASEgBISAFHJdA0JACAgBISAEhIAQEAJCQAgIASEgBNqAgBTyNoCuLoWAEBACQkAICAEhIASEgBAQAkJACIjUTdeAEBACQkAICAEhIASEgBAQAn2DAOzbMHwvsMACFZnB+wYQTbStCEghbyv86lwICAEhIASEgBAQAkJACAgBISAE+hUBuaz368pr3kJACAgBISAEhIAQEAJCQAgIASHQVgSkkLcVfnUuBISAEBACQkAICAEhIASEgBAQAv2KgBTyfl15zVsICAEhIASEgBAQAkJACAgBISAE2oqAFPK2wq/OhYAQEAJCQAgIASEgBISAEBACQqBfEZBC3q8rr3kLASEgBISAEBACQkAICAEhIASEQFsRkELeVvjVuRAQAkJACAgBISAEhIAQEAJCQAj0KwJSyPt15TVvISAEhIAQEAJCQAgIASEgBISAEGgrAlLI2wq/OhcCQkAICAEhIASEgBAQAkJACAiBfkVACnm/rrzmLQSEgBAQAkJACAgBISAEhIAQEAJtRUAKeVvhV+dCQAgIASEgBISAEBACQkAICAEh0K8ISCHv15XXvIWAEBACQkAICAEhIASEgBAQAkKgrQhIIW8r/OpcCAgBISAEhIAQEAJCQAgIASEgBPoVASnk/brymrcQEAJCQAgIASEgBISAEBACQkAItBUBKeRthV+dCwEhIASEgBAQAkJACAgBISAEhEC/IiCFvF9XXvMWAkJACAgBISAEhIAQEAJCQAgIgbYiIIW8rfCrcyEgBISAEBACQkAICAEhIASEgBDoVwSkkPfrymveQkAICAEhIASEgBAQAkJACAgBIdBWBKSQtxV+dS4EhIAQEAJCQAgIASEgBISAEBAC/YqAFPJ+XXnNWwgIASEgBISAEBACQkAICAEhIATaioAU8rbCr86FgBAQAkJACAgBISAEhIAQEAJCoF8RkELeryuveQsBISAEhIAQEAJCQAgIASEgBIRAWxH4Pw4G/uUWYpnfAAAAAElFTkSuQmCC)\n", "\n", "The temperature sensor will output a 24 bit code, which can be converted to the temperature value based on a known calibration function of the following form\n", "$$T\\propto\\frac{b}{\\ln{d_{out}}-a}$$ \n", "$$\\text{where }d_{out}\\text{ is the 24 bit output,}$$\n", "$$\\text{where }a\\text{ and }b\\text{ are calibration variables}$$\n", "\n", "Note that a and b should be experimentally set for a produced chip." ] }, { "cell_type": "markdown", "metadata": { "id": "h3XOYZkOjJhj" }, "source": [ "## Generator Flow\n", "The temperature sensor applies the below described process to translate a specification into a circuit GDS. \n", "\n", "Before beginning, we must set up our python environment with the necessary open-source tools. The generator uses a flexible set of tools and will support even more in the future. In the below flow walkthrough, we will use:\n", "* Yosys for logic synthesis\n", "* Openroad for placing and routing\n", "* Klayout to produce the final GDS file\n", "* Magic for DRC and LVS checks as well as PEX\n", "* Ngspice for simulation\n", "\n", "There may be a restart runtime warning after this code block, but disregard.\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "StLVb9Q-zYQK" }, "outputs": [], "source": [ "# install all tools and dependencies\n", "import os\n", "import pathlib\n", "import sys\n", "\n", "!apt install -y time build-essential\n", "!curl -Ls https://micro.mamba.pm/api/micromamba/linux-64/latest | tar -xvj bin/micromamba\n", "conda_prefix_path = pathlib.Path('conda-env')\n", "CONDA_PREFIX = str(conda_prefix_path.resolve())\n", "%env CONDA_PREFIX={CONDA_PREFIX}\n", "!echo 'python ==3.7*' >> {CONDA_PREFIX}/conda-meta/pinned\n", "site_package_path = conda_prefix_path / 'lib/python3.7/site-packages'\n", "sys.path.append(str(site_package_path.resolve()))\n", "!bin/micromamba create --yes --prefix $CONDA_PREFIX\n", "!bin/micromamba install --yes --prefix $CONDA_PREFIX \\\n", " --channel litex-hub \\\n", " --channel main \\\n", " open_pdks.sky130a \\\n", " magic \\\n", " netgen \\\n", " openroad \\\n", " yosys \\\n", " klayout \n", "!bin/micromamba install --yes --prefix $CONDA_PREFIX \\\n", " --channel conda-forge \\\n", " svgutils ngspice\n", "\n", "!python -m pip install pyyaml click gdstk --no-binary gdstk\n", "PATH = os.environ['PATH']\n", "# clone OpenFASOC repo\n", "!git clone https://github.com/idea-fasoc/OpenFASOC\n", "# setup env\n", "OPENFASOC_ROOT=str(pathlib.Path('OpenFASOC').resolve())\n", "TEMP_SENSE_ROOT=OPENFASOC_ROOT+\"/openfasoc/generators/temp-sense-gen/\"\n", "!cp OpenFASOC/openfasoc/generators/temp-sense-gen/blocks/sky130hd/gds/HEADER.gds OpenFASOC/docs/source/notebooks/aux_files\n", "!cp OpenFASOC/openfasoc/generators/temp-sense-gen/blocks/sky130hd/gds/SLC.gds OpenFASOC/docs/source/notebooks/aux_files\n", "!cp OpenFASOC/openfasoc/common/platforms/sky130hd/gds/sky130_fd_sc_hd.gds OpenFASOC/docs/source/notebooks/aux_files\n", "!cp OpenFASOC/openfasoc/common/platforms/sky130hd/fill.json OpenFASOC/docs/source/notebooks/aux_files\n", "\n", "%env PDK_ROOT={CONDA_PREFIX}/share/pdk\n", "%env OPENFASOC_ROOT={OPENFASOC_ROOT}\n", "PATH = os.environ['PATH']\n", "%env PATH={PATH}:{CONDA_PREFIX}/bin:{OPENFASOC_ROOT}:{OPENFASOC_ROOT}/openfasoc/generators/temp-sense-gen/tools\n", "LD_LIBRARY_PATH = os.environ.get('LD_LIBRARY_PATH', '')\n", "%env LD_LIBRARY_PATH={LD_LIBRARY_PATH}:{CONDA_PREFIX}/lib/python3.7\n" ] }, { "cell_type": "markdown", "metadata": { "id": "5gyYr7tTjrep" }, "source": [ "### Understanding User Input\n", "The generator must first parse the user’s requirements into a high-level circuit description or verilog. Note that verilog is a circuit description type that uses theoretical constructs (like mathematical operators, if-else blocks, always @ blocks,... etc) to concisely describe circuits. User input parsing is implemented by reading from a JSON spec file directly in the temp-sense-gen repository. The JSON allows for specifying power, area, maximum error (temperature result accuracy), an optimization option (to choose which option to prioritize), and an operating temperature range (minimum and maximum operating temperature values). The operating temperature range and optimization must be specified, but other items can be left blank. The example we are using here runs the sky130 node, and we already have a silicon model file for this node. The generator uses this model file to automatically determine the number of headers and inverters, among other necessary modifications that can be made to meet spec. The generator references the model file in an iterative process until either meeting spec or failing. A verilog description is then produced by substituting specifics into several template verilog files.\n", "\n", "You can see this solve and verilog generation by running the code below and exploring the temp-sense-gen/src folder in your python virtual environment:\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "Bu55CvsAlbIh" }, "outputs": [], "source": [ "!cd OpenFASOC/openfasoc/generators/temp-sense-gen && make sky130hd_temp_verilog" ] }, { "cell_type": "markdown", "metadata": { "id": "XEd8QqFgkog2" }, "source": [ "### Logic Synthesis\n", "At this phase, the implementation of fundamental components — such as transistors and resistors — is not considered. Logic synthesis takes the verilog description from the previous step and outputs a more detailed netlist by parsing theoretical verilog constructs like always, case, if-else, operator, etc… blocks. Note that a netlist is just a list of pins and component connections. Additionally the entire description is consolidated into one file (not considering the node specific library files we will need later) which means that the low and high voltage components are correctly connected. Specifics such as the shapes, placement, length, size of wires and components, along with power connections are still not considered. \n", "\n", "You can see the synthesis step by running the code below and viewing the temp-sense-gen/flow/results/sky130hd/tempsense/1_synth.v file in your python virtual environment:" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "414sh8FtlgTk" }, "outputs": [], "source": [ "!cd OpenFASOC/openfasoc/generators/temp-sense-gen/flow && make synth" ] }, { "cell_type": "markdown", "metadata": { "id": "Jd1rMEAzlLUT" }, "source": [ "### Automatic Place and Route\n", "Now that we have a description of our circuit which includes specific connections and components to use, it is possible to consider drawing the wires, placing the components, and choosing materials. Below is a step-by-step visual breakdown of the openroad APR." ] }, { "cell_type": "markdown", "metadata": { "id": "_JBpH5AOmEcl" }, "source": [ "#### Floorplan\n", "First, an outline of the circuit is created encompassing the area that the circuit will occupy and including all the input and output pins for the top level circuit. Inside the temperature sensor, power rails, tap, and decap cells are placed. The tap and decap cells serve to address manufacturing and real-world circuit performance concerns. Within the box, a grid is formed with rows of fixed height.\n", "\n", "Run floorplan and render a polygon graphic for this stage by executing the code below:" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "ognjm4xZK01-" }, "outputs": [], "source": [ "!cd OpenFASOC/openfasoc/generators/temp-sense-gen/flow && make floorplan" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "BW8q1xrsmjre" }, "outputs": [], "source": [ "import gdstk\n", "import os\n", "import IPython.display\n", "import svgutils.transform as sg\n", "# work dir setup\n", "!cp OpenFASOC/openfasoc/generators/temp-sense-gen/flow/results/sky130hd/tempsense/2_floorplan.odb OpenFASOC/docs/source/notebooks/aux_files\n", "os.environ['from_oprd_'] = '2_floorplan.odb'\n", "os.environ['to_oprd_'] = 'out2.def'\n", "# convert odb to def\n", "!cd OpenFASOC/docs/source/notebooks/aux_files && openroad -no_init -exit dbtodef.tcl\n", "# convert def to gds\n", "!cd OpenFASOC/docs/source/notebooks/aux_files && klayout -zz -rd design_name=tempsenseInst_error \\\n", "\t -rd in_def=\"out2.def\" \\\n", "\t -rd in_gds=\"HEADER.gds SLC.gds sky130_fd_sc_hd.gds\" \\\n", "\t -rd config_file=\"fill.json\" \\\n", "\t -rd out_gds=\"out2.gds\" \\\n", "\t -rd tech_file=\"klayout.lyt\" \\\n", "\t -rm def2gds.py\n", "!cp OpenFASOC/docs/source/notebooks/aux_files/out2.gds /content\n", "flrpln = gdstk.read_gds(\"out2.gds\".format(TEMP_SENSE_ROOT))\n", "flrpln_top_cell = flrpln.top_level()\n", "flrpln_top_cell[0].write_svg('out2.svg')\n", "fig = sg.fromfile('out2.svg')\n", "fig.set_size(('700','700'))\n", "fig.save('out2.svg')\n", "IPython.display.SVG('out2.svg')" ] }, { "cell_type": "markdown", "metadata": { "id": "7WhybkqFKhAC" }, "source": [ "####Place\n", "Within the rows (visualized in the run above) the standard cells are placed. Cells are building block circuits that, when combined, implement the bulk of temperature sensor functionality. These standard components include: inverters or other logic gates, headers (used to convert from high to low voltage), SLC (used to convert from low to high voltage), etc. \n", "\n", "Run place and render a polygon graphic for this stage by executing the code below:" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "SwsxoyqaNfL-" }, "outputs": [], "source": [ "!cd OpenFASOC/openfasoc/generators/temp-sense-gen/flow && make place" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "38GZw7r2Nj3r" }, "outputs": [], "source": [ "import gdstk\n", "import IPython.display\n", "import svgutils.transform as sg\n", "# work dir setup\n", "!cp OpenFASOC/openfasoc/generators/temp-sense-gen/flow/results/sky130hd/tempsense/3_place.odb OpenFASOC/docs/source/notebooks/aux_files\n", "os.environ['from_oprd_'] = '3_place.odb'\n", "os.environ['to_oprd_'] = 'out3.def'\n", "# convert odb to def\n", "!cd OpenFASOC/docs/source/notebooks/aux_files && openroad -no_init -exit dbtodef.tcl\n", "# convert def to gds\n", "!cd OpenFASOC/docs/source/notebooks/aux_files && klayout -zz -rd design_name=tempsenseInst_error \\\n", "\t -rd in_def=\"out3.def\" \\\n", "\t -rd in_gds=\"HEADER.gds SLC.gds sky130_fd_sc_hd.gds\" \\\n", "\t -rd config_file=\"fill.json\" \\\n", "\t -rd out_gds=\"out3.gds\" \\\n", "\t -rd tech_file=\"klayout.lyt\" \\\n", "\t -rm def2gds.py\n", "!cp OpenFASOC/docs/source/notebooks/aux_files/out3.gds /content\n", "flrpln = gdstk.read_gds(\"out3.gds\".format(TEMP_SENSE_ROOT))\n", "flrpln_top_cell = flrpln.top_level()\n", "flrpln_top_cell[0].write_svg('out3.svg')\n", "fig = sg.fromfile('out3.svg')\n", "fig.set_size(('700','700'))\n", "fig.save('out3.svg')\n", "IPython.display.SVG('out3.svg')" ] }, { "cell_type": "markdown", "metadata": { "id": "XJMjGSEAOaZA" }, "source": [ "#### CTS\n", "CTS stands for clock tree synthesis (balancing a clock delay to all parts of a circuit); We do not require this in the temperature sensor, but we do require the filler cells which are placed by openroad during CTS. Filler cells are exactly what they sound like. There are many large gaps (see the above run graphic) within each row, between components. These gaps must be filled such that there are continous silicon p and n wells — among other manufacturing and performance reasons. Fillers are placed to fill the gaps.\n", "\n", "Run CTS and render a polygon graphic for this stage by executing the code below:" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "g9RZCeac3xwn" }, "outputs": [], "source": [ "!cd OpenFASOC/openfasoc/generators/temp-sense-gen/flow && make cts" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "95kPlokE3_bG" }, "outputs": [], "source": [ "import gdstk\n", "import IPython.display\n", "import svgutils.transform as sg\n", "# work dir setup\n", "!cp OpenFASOC/openfasoc/generators/temp-sense-gen/flow/results/sky130hd/tempsense/4_cts.odb OpenFASOC/docs/source/notebooks/aux_files\n", "os.environ['from_oprd_'] = '4_cts.odb'\n", "os.environ['to_oprd_'] = 'out4.def'\n", "# convert odb to def\n", "!cd OpenFASOC/docs/source/notebooks/aux_files && openroad -no_init -exit dbtodef.tcl\n", "# convert def to gds\n", "!cd OpenFASOC/docs/source/notebooks/aux_files && klayout -zz -rd design_name=tempsenseInst_error \\\n", "\t -rd in_def=\"out4.def\" \\\n", "\t -rd in_gds=\"HEADER.gds SLC.gds sky130_fd_sc_hd.gds\" \\\n", "\t -rd config_file=\"fill.json\" \\\n", "\t -rd out_gds=\"out4.gds\" \\\n", "\t -rd tech_file=\"klayout.lyt\" \\\n", "\t -rm def2gds.py\n", "!cp OpenFASOC/docs/source/notebooks/aux_files/out4.gds /content\n", "flrpln = gdstk.read_gds(\"out4.gds\".format(TEMP_SENSE_ROOT))\n", "flrpln_top_cell = flrpln.top_level()\n", "flrpln_top_cell[0].write_svg('out4.svg')\n", "fig = sg.fromfile('out4.svg')\n", "fig.set_size(('700','700'))\n", "fig.save('out4.svg')\n", "IPython.display.SVG('out4.svg')" ] }, { "cell_type": "markdown", "metadata": { "id": "c69tCiuC4TIM" }, "source": [ "####Routing\n", "The last step is to connect the components. During routing, wire-like pathways known as traces are placed in the design.\n", "\n", "Run route and finish then render a polygon graphic by executing the code below:" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "bd8LNyPM6KYD" }, "outputs": [], "source": [ "!cd OpenFASOC/openfasoc/generators/temp-sense-gen/flow && make finish" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "CJtokFjA6TJn" }, "outputs": [], "source": [ "import gdstk\n", "import IPython.display\n", "import svgutils.transform as sg\n", "!cp OpenFASOC/openfasoc/generators/temp-sense-gen/flow/results/sky130hd/tempsense/6_final.gds /content\n", "flrpln = gdstk.read_gds(\"6_final.gds\".format(TEMP_SENSE_ROOT))\n", "flrpln_top_cell = flrpln.top_level()\n", "flrpln_top_cell[0].write_svg('6_final.svg')\n", "fig = sg.fromfile('6_final.svg')\n", "fig.set_size(('700','700'))\n", "fig.save('6_final.svg')\n", "IPython.display.SVG('6_final.svg')" ] }, { "cell_type": "markdown", "metadata": { "id": "EoI8lnEq-cJ9" }, "source": [ "### DRC and LVS\n", "Now that the generator has completed the flow, an automatic checking process is initiated. DRC or design rule checking ensures that the final circuit obeys manufacturing rules. Rules are set by the foundry for each of their nodes. LVS or layout vs schematic will compare the final output from APR to the netlist that we gave the APR tool (in this case openroad). This ensures that APR ran correctly and our final circuit matches our netlist description from logic synthesis. Both of these steps will use magic (LVS will also run on magic).\n", "\n", "Run checks by executing the below code. Both checks will give command line output below with complete status:" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "g6ER_-6VAIIG" }, "outputs": [], "source": [ "!cd OpenFASOC/openfasoc/generators/temp-sense-gen/flow && make magic_drc\n", "!cd OpenFASOC/openfasoc/generators/temp-sense-gen/flow && make netgen_lvs" ] }, { "cell_type": "markdown", "metadata": { "id": "SRb8x4VlTPfz" }, "source": [ "## Simulations\n", "To see how the final design functions, run simulations across a temperature range by executing the code block below.\n", "\n", "**_Note:_** This may take over 30 minutes." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "ZRpMHTBPN6Pc" }, "outputs": [], "source": [ "%cd /content/OpenFASOC/openfasoc/generators/temp-sense-gen\n", "!mkdir -p work\n", "%cd tools\n", "from simulation import generate_runs\n", "import shutil\n", "import json\n", "import os\n", "shutil.copyfile(\n", " \"/content/OpenFASOC/openfasoc/generators/temp-sense-gen/flow/results/sky130hd/tempsense/6_final.gds\",\n", " \"/content/OpenFASOC/openfasoc/generators/temp-sense-gen/work/tempsenseInst_error.gds\",\n", ")\n", "shutil.copyfile(\n", " \"/content/OpenFASOC/openfasoc/generators/temp-sense-gen/flow/results/sky130hd/tempsense/6_final.def\",\n", " \"/content/OpenFASOC/openfasoc/generators/temp-sense-gen/work/tempsenseInst_error.def\",\n", ")\n", "shutil.copyfile(\n", " \"/content/OpenFASOC/openfasoc/generators/temp-sense-gen/flow/objects/sky130hd/tempsense/netgen_lvs/spice/tempsenseInst_error.spice\",\n", " \"/content/OpenFASOC/openfasoc/generators/temp-sense-gen/work/tempsenseInst_error.spice\",\n", ")\n", "shutil.copyfile(\n", " \"/content/OpenFASOC/openfasoc/generators/temp-sense-gen/flow/objects/sky130hd/tempsense/netgen_lvs/spice/tempsenseInst_error_pex.spice\",\n", " \"/content/OpenFASOC/openfasoc/generators/temp-sense-gen/work/tempsenseInst_error_pex.spice\",\n", ")\n", "%cd ..\n", "stage_var = [int(6) - 1]\n", "header_var = [int(3)]\n", "# make a temp list\n", "temp_start = -20\n", "temp_stop = 100\n", "temp_step = 20\n", "temp_points = int((temp_stop - temp_start) / temp_step)\n", "temp_list = []\n", "for i in range(0, temp_points + 1):\n", " temp_list.append(temp_start + i * temp_step)\n", "with open(\"/content/OpenFASOC/openfasoc/common/platform_config.json\") as file:\n", " jsonConfig = json.load(file)\n", "pdkrt = os.environ.get('PDK_ROOT')\n", "prepexDir = generate_runs(\n", " \"/content/OpenFASOC/openfasoc/generators/temp-sense-gen/\",\n", " \"tempsenseInst_error\",\n", " header_var,\n", " stage_var,\n", " temp_list,\n", " jsonConfig,\n", " \"sky130hd\",\n", " \"sim\",\n", " pdkrt+\"/sky130A/\",\n", " spiceDir=\"work\",\n", " prePEX=True,\n", ")\n", "%cd /content" ] }, { "cell_type": "markdown", "metadata": { "id": "uBkrKOa_ckOl" }, "source": [ "Run the below code block to view the sensor inaccuracy over the operating range -20 to 100C :" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "NE_sFcgqcvyb" }, "outputs": [], "source": [ "%cd /content/OpenFASOC/openfasoc/generators/temp-sense-gen\n", "with open(\"tools/readparamgen.py\",\"r\") as pltr:\n", " pltr_str=pltr.read()\n", " pltr_str=pltr_str.replace(\"myplot.\", \"myplt.\")\n", " pltr_str=pltr_str+\"\\nplot()\\n\"\n", "with open(\"tools/readparamgen.py\",\"w\") as pltr:\n", " pltr.write(pltr_str)\n", "!python3 tools/readparamgen.py --specfile test.json --outputDir ./work --platform sky130hd --mode macro\n", "IPython.display.SVG('run_stats.svg')" ] } ], "metadata": { "colab": { "collapsed_sections": [], "provenance": [ { "file_id": "https://github.com/idea-fasoc/OpenFASOC/blob/main/docs/source/notebooks/temp-sense-gen/temp_sense_genCollab.ipynb", "timestamp": 1664409724607 } ] }, "kernelspec": { "display_name": "Python 3.9.13 64-bit", "language": "python", "name": "python3" }, "language_info": { "name": "python", "version": "3.9.13" }, "vscode": { "interpreter": { "hash": "397704579725e15f5c7cb49fe5f0341eb7531c82d19f2c29d197e8b64ab5776b" } } }, "nbformat": 4, "nbformat_minor": 0 }