data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKAAAAB4CAYAAAB1ovlvAAAAAXNSR0IArs4c6QAAIABJREFUeF7tvQl8XFd5Nv7cbfYZLaNdsmVJtmR535c4drzESZyNkABZCKQBQvlTKPQPTSEt0Jav7a+0lH4thY9AgZCExE6cBTvOnjiJ7cR24n2J902y9pE0+8zdvt97zp2RRhpJI8dAv2QO5Gdbuvfce8997rs+73sEACbyI78Cf6QVEPIA/COtfP6ybAXyAPyIAWHixIlYtGgRampq/uBP3tLSgl27duH8+fPpa2cF4DXXXIPGxkZIknTZb7K/vx/79+/H3r17L/vc+QlHX4GGhgY8/vjjKC0t/aMtVVdXF+644w6cOnUquwT80Y9+hBtvvDHnG/R4PNj1i7+BdvHwmOdMu/GLkBuXwzRN/OxnP8MPf/jDMc/JH3D5VuA3v/kNli9fzibcsmULEzAFBQVMKl1//fV47rnnYLPZkEwmcdttt+HkyZNYuXIlPv3pT+OrX/0qjh49iubmZuzbtw9Lly7F1q1bMW3aNJw9exb33Xdfzjf61ltv4bOf/exwAK5atQo//vGPc56IDiwpKUH39+Zgok9OnyfWzAbiQRjdZzLmUtZ8HadqrmM/6+7uxk033YRgMDiu6+UPvvQV2Lx5MwMQjZdffhk7d+5kwDl06BCef/55fOITn2A/IxCSlJw7dy5Iav7qV7+CLMtQVZUB1u/3Mwmm6zqcTicEQcDdd9+d840RkFNCLkMFf+ELX8CXv/xlNhF9FXQTpLdJYsViMRiGwf6jfycSCdx+++0MgMHvL0C1d0BdK8vvA+IhqLsfHwbAI6Wr0j/7yle+gh07duR84/kDP9gKbNq0KQ3A06dPo7OzExUVFewdTJ8+HYcPH8bUqVNx4MABfPzjH2fvubCwED/5yU9AZtm5c+fYcS+++GJ6HsJDUVERmpqacr45AiAJHxoZAPzkJz+Jb3zjG+wXe/bswQ9+8AMmfhVFQTweZ6hfsWIFjh07Bk3TmFj2+XyI/OPiDADarvkmzHAX1B0PDQPgvoJl6Z8R2Ok6+fGHWYFnn32WqUwCFplOdrv9D3LhvkAPdCvYR9LyyJEj+NjHPjYcgITiBx98kIlUGhMmTGASsLq6Ov1nOBwGORL05XR0dMDrccP54I2oGiQBR3oq5eqvY5djIft1a2sr7rzzzj/IAuQvwlfgmWeeSUuuE0/+Cyadfw5nnFNRXDcDDo/vsi5TPBxE4MwhNMTfhwABxff9Cn2eSewaJAFvueWW4QCkn5BxSAYpqdZcBn1NtVIftONb2YVMmCP+mZx7J7pDcQa+Bx54gP2ZH3+4FXjqqaeYBKRx7L++iMKZqzBx7Z+wf5Mtt+PpRxHrboNpAiSDRvqzcelqlE6eBvJoSVjRuW63m0lW+jeZa2Qfks0Y3P0M5p38JYJzP4PQXO54kAS89dZbswOQfupyuTB58mRmeF7uQTdHX0B+/OFXYOPGjWkJeODBb6Dx7r9DYTEXNKePHoLnPz6LQhvXfqMN0eGG8oO3mLdMnjSBjcy01CBbkUC5fft2zJszC80vfxX6rFvRP4c7KvT+ycumkQ9Ej7XaH6LfP/nkk2kAPvPwz3H7F76C+++/n9n6e7a/gWkbvgFv80K4561B7PDbsDfMgr1uBpKtp+CatRz9Lz6E0Jsb2Yoo//s9JuEIgOQPDBZWFy5cYACkmOMNN9wA+7Yfo75xWgYAyePOA/BDBK5cHmXDhg1pFbzxkV/hzs/9KdavX8+iGXt3vInpT3wTiijAf+dfIXHmIPRwP1wzr8yYuuexf2b/lv/9XbS3t6O4uJj9e3DSgkyrFADXrVsHecfPWGKjfzaXgKSCP/WpT+UBmMtL+zAdQ2BLxQGfevTXuOPeLzJPmGy3XW+8ihlP/iV8s65Mg07raYPafhaJM4fgnn81gls3pJdD/LddLCRHwCNVLIpi+ncXL15kZhxJwOuuu44BsKmxCb2z7kqrYAJ9XgJ+mNCVw7MQINIA/O2vcfs99zGngQAY7A2g/uw2iGObgED5JHRVzWaqlwaBj/5LOSEEQArbUbCb4ofK2w8OAyCl4/IAzOGlfZgO+e1vf5sG4NOPPcQAmBoUTtvxr9+E2jlAFBjp2SevuB6+lZ9MAy8FxNTxpJop5FNfX48pU6bA9s7PWaA6MIOH3cgJuesuLg3zTsiHCWFjPMujjz6aAcBPffYLCIVCLCOS6OtB84ZvoGDaQgjKQIDaVlmP5MWTlhPyG2iBdnYV/Z+3M/VL/1FkY/Cg+DAFuknirlmzBnYGwKnomcGlHgGQEhx5AH6EwEeP+vDDD6edEJKAn/zM5xmRgHK7Z48exJxnvp12QvRgD3NCbFX1GauUckLUf3qLJSRI9aZigKkDCdBer5cBkPgFjp2/YADsnn47U/nkhHzmM5/JA/Ajhj8QGyZlAz7z+G/wibs/xxwJ8ljf27YVc599gDkh5AWHtz0NQ1WhlE+wnJC1zAmJHdzGli3xD28wB4bAS14vzZMaRDRJAZDYNI6d/42mqU3onsYdD5KAWdkwH7UX8lF73oceeigDgLd9+t70EhzdsxtznvkWk4BjDQpEhx/YxDxdUsGUnqVgdGr09PQwjgBJQOIOOHf9chgA77nnHjgUR94GHGuxP0y/J1pViozwu/WP4ON33ZN+PEkUMcXoRuLE2EThQMV09HsrGCOKBgWhB8cB29raUFZWxniDxKgiABLLprP5k2kVfO+99+Lqqasp5SeYlL/Njw//Cvzyl79MS0AC4C138twsG5qKM/evQ7lzIJ430oqUz1mG0Ce/lw67kPodHAekFBwBkFQx0beSL/8IU5unonPqJ9Mq+Auf/wJWN62EIAqiaZgD+vuP/RqI0MD/z1VBtn+n2Dq5HJuaK30sfXJs4owrWAygLL9jcYKBexEFEYIgQhQE8L9bf2Lwz/jfBYiQJIFJB5GehJ1n/S7jz4Fz6TxABAw6n8+ReY51Tevn6evTfWT7mXVNmmnZl69IOyEpAG7bto1JKTMaxILN38lQwZ5F66BHg4gd2j4MFr1//TzjAdKzEamYgtGpQc5JX18fsxGJNdW98e8yAEhOiPSqAafdBeGeeZ9l4k+EnF5MtrD06MMWmx6RL6QkC7DbZXYcie+BhRj0Iqw5Ui8KkggkBRgqvf8sC5sC3RBwDAUL/7cFCos6Nvjfg6BrAY3uGRBtgGK3wDACuDPAb11HVw0kEwZg8ufMdZBmsTkFyApRS3I9j0i/AhIxg4Hwco7+Nb1pCbhpw6P42B2fwfHjxxGJROCEhkVbvpcBQHJGaKQ838H30vPt5xhlnwBI6jWljrPdb89Tf8+u297ECQjkhFTs8kMg3Gy8+wlT1/ni8rDgWIOW1YSsiLA5KPrNqTu5DFMUkAhrMJm9muNJuUyc0zEmIOmwO225RfsHzWkYJuIRbdwApJJru0uEIA1I9LFu1YQBQxeQiOpM+l3O0bc6kAHAm2+/m7GfKWB88dSxYQB0L7wWRiycVQJ2f2szo+yxEM7ZsyzzkRqk6lODqH0UiGYAbBwAYOXuEg7AZ+550kwmSAjmBghaIECHza5Ato1vgchTT7AXSTo2t+tdrheQum+7wwaJJNI4hgYTakQFDCo7GMe5ggVAkqQ5nkZCT0vo0Jl9n+NJOT5LYGV3GoCbn/gtbvoUDwbT6Otsw+RffwlSDpd0zliGs+vuZ7UjpBGIFTM4DEMVj1/72tdAjgb91/vs/2LXbZvCOYAkAavfK+MAfPbzT5n0def6tdGLFAQDdocCUc7hbgctjkaqLJ76ssd3bo5rPMphJLcNbjo4FfZ3NuhbMElWcTot/dugPwwTpkF5UkslhhPQ43QgZ2oaZN/RsYQYgSDKjQCWF5VFQBbY+ti99FOBjG12qkRHmXQNk5kz9DtToLP5IFGQiKkwtVw1Uu4r03NV1wAAn/wtbvzEXawkgrh8M2fOzH2iHI6kdByl4SjT0ve7f8C05mm4OOXjaQDW7CnnAHz6vo2mSlKJfd05DkGH0yUjV12WSlKrcR2aRvpXGodNlOM95XqYYMLhlgCRiqsEkP+lGSb0sIZoKIRkn4ZYUIUaiUOPGlCTGgxN53EuU4BoCjAEnZlnbq8BQU4iEnATEpk0YP8RrEQBkiJBcpCpYofkVuDw2eEusEEplGFz2SHZRAY+AqFoOR2mbiIeIy0xjveR47N3Le9IOyGbn/wtmucuRlVVFaNKUVUceaypQR/SYKmW+jmxoKmKjjIcNCgNR04MOR6DQzEUiKZ4IMUIpe3/JwOA5IRM3FdpScAvPmWqUR2GlrtEEkQDdhc5Lbk9OfNyTCARVZnrzhc3x5Nzu8QYR6UCTdx+lQSuUsNdMYTbw4j2RZCMaRAMAZ6SCCSHiWCLExqrpLHuk3nDDCrMlyqfGsCNDxyFzabhhf+YhpPb/MyV404KSUhOTycJSn8WlqkQbCoCrU7IogTFIcPld8BT4oW7wg1ngR2yjZM7k3GSr7IVHMvdPBprqTqvbE/HAV/a+AgKaqYwT5bUI6nRwaEUou+Tfbh27VpWjEb8PSpGoxwvVc+lziM7MMWGSZESUuCj56bjOh/7FqZMm4HWhlvSccDa/VUcgJu+uNEkD09L5GoomzDJmHcpXJ3kMHRSdyqQJBWW4zk5TDvqISmpawikQnUYSQPx7gT623oR6g5CjwpIl2pZM5VNCePWv38PDpeAtx+dhJ0bJma9hilqWPqZ01hy13kogomT28ux8fvTIRkEmsyYKknCiXPbcP39R6DYVbz+s9k49EIF/xAJqqLJpKXiklFY6YOv3Ad7gQOCi6tqkX2s47O1R1qYjmVtaRXc/sw/43zFCly54iomAYktPbi0kmj1pEIpnHLixAlWpvnSSy+xOmFyOshxIeAR8YDKN0jlOhwOlgEhyZeiebWcP4sbTv0IocnXoaWBV8KRDTjpQPUAAHUNSEbJJsoFUCYPZzgkiDnGr3XBgBbTYaiX364ZvNipl58KwxiqjkR/Aj1nuxDqCEGLU2iDJJPE1MvQkMqi209h8T0nYZdEtL3vxSNfX8Lsw6HDhIRJ87ow+97tmFzrxms/b8KezTWQhoX0yfYzsOKLJ7Dw4xeYXDyyrQBbvr8UAnjqyoDOXgTZlalYpewQ4SsvQOHEQjj8DkgS2awpK/PSP822pa1pFRz93d8j4m9CZ+EMRiYgVTxaDRBJPQIYAXC0QdKPer9QDxoCsbdtN65qfwIt9R9LA5BUcP2hCRYA73vapJeRiOQOQMkhMPtFyhGApI6SEQ3meOzMS1pnHQR2MS6g73wfOs91Qw8n4auOw1sQR+sxN/SEbcSGdP7JvVhwz7uY3AzsXD8Ju59o5I7JkMEcMdFEQXUUdpuGwNliS10PPZCCjwaqZgVw018fRFtHDPvXz8T57RP4rJYU5GdZtqBoonhKEIpkovtUASS3Hf5JJfDU+CApnPiZinmOd4k66trRuHIKOy35/D9hpe0U9iYr4alpgt3tHe90ox6fiIQQbjmGubY2dlzLjD/B+XJO7z/51glM7Eip4PueZmsRD+uZ6zHi9CZsZP/JZu4S0DCQjFqOTq6G4ziXQzeTQNRE9+kAelt6edjEFDBxehi3/K/dkOwaDmyuw6s/4S9g+BBgijrcxSpsThP9bTYYzBOl5eGylRyGATimskeUzKTfWdqD2YkDMQVBoGA9UFAShWnX0dvuhKTLMFkw1DIsB2mexpUdWPfNQ0xCvvmLKdj3bD27usNjh6/ai8LJJbA5lEHKKnezRhVU9DR1oXFJI0q8DjgPDFDsx7nc4zpccBUh3PwxBAIBnNx9AlXny6BASUnAp9iaJuMqdJUFEkad3BR0OFwyeAlALiobUBPkTaoQQGWeuZ0z1hOmbDwTGoy4ic7TPeg5E4DBAripYWLezR1Y/uW9kAQF3aecePjPlrEPjV6qLgAyecLsTxOqYCIuJRAWo4gKEcSQREyMICElERd1aAJR0LmDYaTAwzDEgUmyiexigp9iKHCYEmymDU7DBbdug8t0wGG44dLtA76NIcIQBKZN6D5Wfek4Ftx6DrppYv9LxXj1Rwu52QABlDK1eewomlSIkoYiiPaUNByfx9wv9aFb6h60xCaLjQrse8vt/ZiGCU2jVRjLPqW5KesFlAmlKEJh+rrcCbmPA9BQDSTIRhprQtGE001AylVlc++XsgmmwfOol2cIMHQd/ecD6Drag2REZS9IpHjbIK3pq4xjxu27Mak5isNPT8O+FyZa5fOAIWoIimGExCA65CD6pQCiUgKaqFnxQEIFWXzcduWy0JJaGepz0EtLG408pshsN1blbUA06LuXGQCLtCIUGwUo1D3w6h4IBo8qlDcFsfZrB9DWFcHBjXPRdagCpsW145c0WWZFcouoaqyCZ2IBZHl8ABy6/iTZbXYwLzxXXgoLF0U1mGOlJylmzATWcEmdAUCd1CSpLQwUGGdVVJIBu5MXrI+lTZms0EWWVuIjt69rZICaMJjqkhDrDaPjYBeiXVFLndFZ2cFN6leSdSQjNujQEZD70GbrQrsUQEwOQWOqlS9Q5h0OXbRcjN6hz5g6Z7Bc5kCimCJJEJ/mRpVahkq9gv3d7iAHCYjHRUj04TLNwQf9K10ARB0NSp2onFkJR7Gdh26s7gTj+cjp0yKTKvVeczlXh4lEOAnBHB0vII3pVrJiJVMCkgqKajCM0T1VSaGEPn/RYwGQpKSqmlDjuYZ4xnp0E3pCQ8/xHnSf6oUoRuGpUJHolRENOrJ2G+YyXUOvHMFFpR3n7C2ICwlQXlqkbl8sFfJBP4yx7nvk3xMZTqBsCxE8BBEu3Yna5ARUJErhNZwQTCnDWxfoYzElyM4wvOVAJCBBjzlR0lCM4qZSyLbxd7Ngsl3UoThlRizJZegUS43qMFn8eOT1EyQCNpfQQ5c5E4CCwCSgSYZR1gm55WOzyznngClbMN4g90gPrwsa1O4kWve2I9wbgiSauO7rB9G0OoD+Vhs2/M18RLqdPFhB6s6UoIsJdMgBnHBcQEDphsZoZ9YCCwYEy/7LZcF/X8cwGWvZf6nwEal9xZRRmSjDJLUGJXohizECGnRIUOwabrz/MOoWtSPQWoTH/2o61JAXSrENE+ZWsjiiKFGWJ0f2DjMbeH6f7DXeF2Z0aU8ANBI6VBY/Hg5anrI1WerT5sj+UWSqYApFxckZ0UegHJHQNeAgNkkOOeCYGkZ75DxisX4Q/UWEEyWOSXDKBYzmNZ5BBm/PqV50Hm1nqTFSXLIN+PP1L0Nxkvcq4Mm/no4zO8m1p5dkoMXegVNKC/rkXvZvMtdztK/Hc2u/t2OZo2SasIkySpJ+NKiTUJ4shGDKcBRF8Ge/eQeiQu9ExRP3X4FzB6hDgQ7JLqJsWgn89eXsW8stZGNQ8puBljzsVDZntIejNRV0su9H8hv4nIptZIGVAUDCu6GZSMRGogGR9aHB6bJBGIUyoepJnOjZhyPdz0EUB0iKqYdxiRUos89DU9ESiGRNjzC4r6nBSEpoO9SKvtPBtLfJDHFRxPzPHkD9Fa0Qo0XY9P2ZCAcc6JJ7ccR1HL1SkBMOLDMu92DF7w1T45o4FfDhgSABiiHDr5VgWqwBRXDh2m8cR9HUc+g57cVb/74U8TBlYejdEY9TQmG9FxXTq1i8luu+0cyMgVATZbggm2PGeIlMwdOrlCPPJlBYnAF2h8ykaraRAUDm5ZnEe+NJ9+xnEAlBGdFRTmgJvHTqp0gaHaOaVXTvRdIcLK64NSsImedIJIGwijP7ziLRkRjmnJmCBtlmwlWgIRa2oTsZxlHnKbRL3TBEFYJJif5xvfP/0QcTWcEQkpDgQF2yHNP0RhQVClD7bYhTWpHZWGklztSiq8yBmgUTIbs5cXisQe9ftguQnRJEogSNMlIaOhkj/uLwA7kzZLCQ3UgCawgA+STkWhuUhCcPbbCqpAkpB+y2jfgohzrewbHAsznZ9MREqXPehGb/4vTdM+CZOkxRRLI7idO7z0EPqjAJjUOuSt+ULpB7kcAp+2kcd56HKpBXJnKiFWf2f2iGlTlmdivZ1h7DjunxyZiQqE3FypnNlRoGo3iZcHidmLhwIpRiCbKpjP1RpkCTo5WkJnRoSXKMOBNoYJigmLGT8DKSPBscB0ydmAoac+ba4LuggKLJWBwjvdjXTj+GvuSB9D0oLhE+hxsOB+ArEOEvoDI+EUdP9KGzMwJD82FtzV/AJtmsc3RoooBkRxwXdl6ApsVYnEnXiQY1BEumgD65H/td76PL1s7iaDkh/8MCSfbCgQnJKkyPTYFbJwcsc0iSASJOSIoLkxbVwVamWOSG7IvAHA+K29lFSBQTzGEYGsWP9WEOD/OsKWTnUkbES1YJSNHtZIxUGPHIBwGQArIOClbyupBsY+uZRxFIHGK/osnvubMBE6pS4Bo4I5408KMHjyERMbGw+E9R5q5hko/wHu1I4NzOc/CWBHHV54/D0A289osZCLfbuTnHCKQ6Tjtacdh+HEmyM0nqiRRQ+TDJvNHffipuSeLPo3swNzYVFckyIvQzSSQ5VFz1J2dRUhvGzqcm4OLBStQsqoKrzM1BmEUscQCC0c3sbp4uHCtxQKfEI0nOJx0iAUXZZKGdkYRpVgCygHTWvK3BbAOJeKgjvOgtx3+KuMGb20yfVopbbyjjGRAKMzFbmANEN0w89ruzOHMiihr79ZhVsoRJvlhbFBd2n4UaA679+j7MWncRpiFj3+/K8epPZ/FzBR0Hne/jtO0CDKIy/b/mXeQgVcZ7CDlbMhTMjDaiLjGBAjVoWnkRN397P3Nh2k4V4LGvLANsEuoW18JWaiNW48iXEcBqWURx7MwYfQgJwosuWlmi1LQmJLIn7eKInIGsABxgrmQGpFkIhoxZeulZAJjUk3ju+L/CFELsDlavrMKcGV70RzTYFRFOuwiXQ4amG+gLqXhs0zn0tauokK/G7IoVSHQlcPbts4wyRTbfFfeewKybT0IRndi9vga7HpmCiBTDPtdBtCvdRCtlZE8eavhoD0ayNQVQYcCUxCTMjNdj0oIwbnlgP1RDReexImz8m8WUe4TskFC/tA52P9nyPIM9dHBnhCh3IrM5Rxv0a5VR7VJpSn40ixk7RYgKZ5FnG9klIBXFMIY0U6Tp8wgUlAPmhu7wCcOJIJ4/+QOIkg5JlrBwgR+L5hQgVvk5/PdP/xM3LBYxt7EAfXEXnt/nwuant2BqiRvVynVocizG2bdPIBlMMUR02H0CJi05B1nUcWzrZAS0MHY79yMoh9k9EdE0P4ZBByYU1KhFmB+bi6bF7bD7w7iwuwahNi9IRrG6GK+CyUsaoBSSnZ9NEpLKMpj3PLIFx69NDhGBj0CYiQsOQMoi8lz68JFdAhJRmNgriUxJR8RKyumNREJ4v3MvjgQ2QBNN3HVbLc6ej2PVUj8iQg1OtUYwsaAHZYUyeqMKImItLhx7D1u2nMcM513QDtigBxL0gTJvivQqleyIggZBF9FtC+FdAp8UST8Kr6XIj6ErQFkgItyWqH7Mi86Gw5BYVoU020CeWIDTL6N22WQQt1McVpLLY742lwKZDMJRBhNuuoBYhNhOg45lFYG89oa8hpwBmK4CG1KXKlgkhGwuNbFQXj/zEPqTxyGIEtauqYDXJ6C5riDDLu0PqwhFVdSUudAbVPHDH5/BlJZbgTaJGc9DB904ebo73O8x9Zsfua2A1T4AhZoHSyKLYNcy88kkWiiA5a4twMT5NSwywQrFBvQdAyAxpG1WHnfkK/MQTJwC0oML6UXAQTXRFL4YjwpmdhWIwUIMZot6RA1obGKahDD0Zlr6z+Kd1p9bRitdjx/7pc82oKiA232HT4bgKp6CWKwX02uSeH1HN95+0ocJ5xZYJZKZIR+6h16lF7tdBxCSIrmtfP4otgIpiUP52jK1AAsicxkFLKXTrAJUZk6VTStFybRSy65PdZxgeTFmITo92Zksg8HK8EJ2oMYzKiw7zMpfCdQj0/ayquDUxMm4Bl1jgpvNSTlC6oaQbbx08tcIa8cyfkW3UT3JjauvLEV1mRNbX2vF7tdasfy2OhT4nNjw2z5MPLwWsjY8TEMTxcUwtnkOoF/uz8PqElcgJQn9eiGWBhcwRyXDgaSKARGovWIiPBVeixWRaRPKDkBhhfyjOyMsIK0OpESIW6iMEUscFYBURK4myBPhUtDhVLKmVDRDwzNH/xmixJ0DGgS+0lIPGpu8mNXkhqob8Lhk9PQlcexYErvea0ekw4lp52+Gw5NALKjwQCZlQSAgISbwjns/OpXAWPTYS3w1H43TUu2NyPGoTdRgXoR2SSLHgwqhJDi8CahJBZJsR8OVDRC8ZA9mMlcESYPDPXIdTWolKXtGBfWEFzLJHDl0oKBqwDQjeugrSUW4eaLZIhVmaV5IEvL54/8HfUYLHCRuRQHXrq6G368goQLTGlxs6s2vt+HIoQji8QSDdCIm4Aurp2DWkn4cebMCL/2kEQL1qBEU7PLsxUWlCzqZA3ln4wN/LXwJDUyLNWNavI6ZSM3Xnseqe88h2CnimX+YC8lVjglzJw5vNmCqsHmUMXmClDpOkCNikj2vwUEBaOoQMcrQKYSWouQPO84AYhRgJLFNHjCREEaQwm93bcfLnm2Ycr4f1WV2fOkz9TjfHsGFjhgWz/BDkUVsfK0d+/cFIRkaRNNEf1jD5+9048oFPphJGQ/eMx+hQDGO247ggOsELwA3ycHKh1s+KAKZH8A52FganYmqRCnu+s8DmDCVqGoaXv7fTdi7pQ6TFtXAN6HQes2pl62x2hP7WERXQUQ8nGQeMUvBOSlmPLraTlKty0gApNdO3QJA5REyTZjdViPX/ucFT+D05C54OjR8TRGwZGYxekNJvL2/F9cuLWM98igb8o+7enCgxAHfrm40vtaAO7/egZLqEJId5Xj2u7PQKcTwlus9UIUbcfzy4zKugMV8detuLI/MwfWfb0flovdhc9rx8t8uwcXy611jAAAgAElEQVRjBVB8NkxeWQ+y+wQMvG8qAbC5OD+Ram6yDUY+jmswqNEVAdBN2ZbR32EiqY8CQCseSDFBouhQcjrbdBe0i3hw8WaYPhHFXRr+o8IBh13Cw0dDeNNQ8f0aD6qL7AhGdfx5RwT9pTaYcQOL75+MBskBT1UUfee8CEUlbHXsQNAWsVpg5AF4GeFn2eYmo1mV6+VYrs9CWUMYiX4b+lq8oCIjWnh/kx8VsyuGpepkh8HCMiMxW4h9wwLSUR2iQqW7ypjWUyyWHEUFE52QDMuoxtI3ijIcgGRs/sz/JFpnB1np4KcuqLi92YsfHAlj1wSFtYApDqpYZnPi/YSGE7QlrYWrhu/4MP1sY/oH+11HcMJx7iOfVrvcoMs2H72COdFpaIhPymwlwggnIupX1cPh5bZ7ahCxgH4npZuHDp3ZpP5MiEdUiDZqyCSPkAPmhAdKdFDd9cg2IIucU4BRg43p81Q7sYELkwPyU/khXLxSQ1FbAv85wYuEruO+vhiMwhFUtmpAUESU/FTCFTvmscnalB687X2H5Xdzrgv8Q7ypD+k1WHzPULAitBhefVBHBKsjrK/GiYmL6zNsfpYZIWdkFAASdS4eTUK2S7wWeIRkFSMwxKkZlDIaALmoSsQSUBw26pIzLKlMEjBQ/gi6ahMojySwvKEQb53sxw9LKWST3QOKnuyDa3IhsD+Bdf+2GLIu4bWCHeiTOYkhP37/K0AEA3q71YkKzI/NZkWfLAXKBnciGq5qgN3vHJTHNVkdDrU4zjqsnEU8nmR1ylSMlL1YiWIq1J1MgyjkAEBd1SHaOPNkqFEZVSOYcOWTCMYimFTlgU0R8dODAbxUlym+B99w7GwQjmoPxHYTa747BxelNux3v//7X/X8FdIrwAHIqoGxLDIb5cmKIZpHgLfGhYmLJ0IUeVyQHBCqrabmnqMRf1XCC5W8srbE2arlAFXXGeFFkmwQNn3hGZPE60jEw9EKnfsT3aha+jRjPFf4eT+9Pz/eh7YJzhFfd/2hPqyeVIx3fiij6nQzXvXuQEKMjU0VzwPo8q6ApR5LND+WReZBZmWfqSHAlE1MvmoSXMWDmxYRwUCGKI2cXsulZzgFrKkNjEROzVN/stHku61n9zpTW7Jne/qW8HEUzdyCRTP4tu9nOhL4pqHB8GYX02ZMxz8mRUyrduLf/sLEhU4HTjhPsZa4OZYgXN6X8FGfjepLRGBpaDZqkpUZq0HarqjBh6p5mT0SRZsJu2PkFh6pLrHZuqumJCkxqKlTGgPgk3c/YSouibnMQyHIxK5DhKZqEIe0ViND8nzwGKoWvIQ5TXzX7H/f3Ys3mkeWflJYw3/ZFJQX2/FffyPi1dY2JIVkWqSnM46pwKkpsZoGmFSxzwuOiCauUwJTp5oICaIVqB5vuJqIFgKjr4uMZU1drCTqUMCKfj6gOzRoLSnrwNqJsH08SJeptHkDqKiWnof/lCf+Ly0EYL01orAZVJJJqTBe3pDe32SAU5LlkzNRpBZhRXgRiDxf2hBC6aQwzu0tQSxkw5Q1jbB5lYHSS1GHzc1p9tmIyYLVf8pIWj1xBoQqK6vVNYHHl+nJJQnChrvWm4pbtro6DdxfqjJedknQqa8z65w1eJjoCneiu/S/Ma+5GKYs44FEEsniTO9X0E14kzrqdR16n4pv1BTA7ZTxve8Gsbe9P4MrRlcYbGeS571gehJXzDdQU0Ki30RXr4l3Dxl44z0Z0QR1EKCXyQ3b8QyKp5q6AVkxMWe6hCtmGigvI6dLxJHTwBvvAh2BS2sKOfAc1MtGQFOtgEVzgImVAu/7FzJx6LiBt/eZSCT4BjMW7WM8j5AucXA7dCydJ2LOFB2+QjuLx51t07Bzr4nDZ4ktLfPWciN0OyBhsiw8BzOr3bj9B7vh8ki4cMiN9Q8sRHlzFUqaKDti2YLQIbtEKFL2PoWCjQQDdU0Y/igUQ6QGWLpVLi7SHOvveMyU7QpsQ7ZcYP3uBCoqAUyi/A/ZyoFuOpgIwTPzUXT0heErcKCvxIWnI0lEJQF1KjBDEtHklFDvlhgZgRYgSSQHzcRXvt2JHupJyFppUAmfiBLZj5neBogip4tLUgSTG4JQ7ERW4J4aFUTruoiLrU6EouTscNl3MnwK5+KtTFoOLk9MLQNdm15CqVwIt0wLasLUDDROC+O2tSJkxWpaTuQwDTjTImHDZgmaTlJWQtJMoDvWD42I74O62g/9KD2yC3N906FIdnbPoqBjYn0PCpy8fS/rvE/PYgDnWm2IReleDFYn0xnvxMHosVGLq3RBRaN9Mia4qxnDmSS4uzCESVUxphFSPbipm0QkJuL0eS/TbtS4SDd17A8dRiDZn1FCKRkCitUSfG5GDW787kHIdgOxbhce/NwiCHYPpq5uSmemyF+gEAttUjRYYpMTTW9CcdC1qG/MQA0QE/z0P0FEMqwy4gmNNAAp1cLK5wYJObb7gCiwFAw0YRjlmuRNXE1AqF+PebNFUDETsWcD/UlW++GwGhhl+6QPHI3ggX/tTXPHGBnVFHFF8RzMK5wKU9GRjFlGMTF8iQ6RFnCc8iMLdt5hXhTg9ERxqjOOFzpfYJ2uRuDfsoT6bRXrUGjzsM1gIFDbOCpgp3Yfg9NPFh/OqgoURR2mruDN3m04EWyxDNbhEpdUaqOvFiv9yyA740hEbTBMi1eZPpx/MCLdp0BF/joMQ4LLq6KrP4aNrS9BpYbaIw1DwM1VV2NCYTG0hMJ69JkCvdRU83c6kV+Dbl8USCNRSS01IQd2dh7Hnr79Q9jzJIV1rDYW48a7u+CsvIjud5ux93c1LFfcsKIOnjLKItBMGpuXsaMGpeXIbCGhZXeyFgdQI5kak/VJMAGVNT4YBMANd2xg7RUpeUwVb6k7Y0XiisAkINlbSWJID2nBQMHEWDIMuWofopNOwiU7oMl0AUCIE2gM6DaSLCbiyQSzsxKbS7H5SDtatSD7Utj1mOskosndgBumNaFyYhJHdxajK9GK7S2bGbmRpARXISI0XcWckivRUDQfLpeOpkUteGxTEtsCu6yC9OEOFYUeqJ/JHdW3YOU1vTh9sAi9nV60xo7iQuQMBEYH42AnXCuSEzNLl7ESxqaFQUQCKh7adQRnoy3p8tChGKGzaxyl+ETjEkyeFcCBN2qRMMJ46cyj0IQYTFFmko8+BE1Noql4Lmb5l0OUVSxY3Y3NLwn43YXXhlSXDZGxponl/uW4bqmMWL8HHecLcKJ3D/Z3vcmYzeQ0Ev2NPYchYEXNrShxVqOyrh+ysxcPbzuPY5HzGUFiAg9pjsZ4BeYnZkN0qEhGye6jVh8SipsKUTWrxgIgn5uq3WgLMi606O2QuBehuDjhizomMGLCoKEmqRn+QKUdk4Ab7niSfZuUv7NTEYllDbOqDGpaaCeVQRKQmtEMmtAEYlQPasrYYx7Almt3QXCMUT8Q0DDvL2vxnms/VfENGyW2YtxYsQaFhRoi/U6c7juILWcewtzFi1FZVY2+/j401Nfj1//9cywtX4vFFetgcyVZ8fqrLbtxLHIGmqlCYpbwkME+MwGri5ejqdQH6AXQVBOvn38UJ6NHUT2hln3fqqZDTcYR6Ajg001/BZfigN2tMlvt8TMvImJGRxROZCI4ZTs+VX09Cnwm69cSTkTx8OF/Qt3UetQ3TmWdT8lTfGXTs5hWsgBrqm+HLNOHHseu9ha807NrVAASIJp9DVhRPBc2t4lo0IZdnVuw++KLmLFgKWbNmoVTp48h1B/E0X37cXPd/4cqXwM8BQnEIhKebHkFfVpvhj3IKfoiPJoNy8NL4ICdgZdDS4CDSArXNmY2SifCAVXNEaePyTz2ZTGBxRy7hAFjUGsgmo2yatQQPxXyywAg7fbDio6snSpZqZ8DoKYFBEA9aUKnTQatKLrOGhlpaE924qGVW6CXjE0eMMI6qv7KwXr0ifrwUI0iKLi9Zh2WX9eDvVsrcaLrOLac+w2WX7UKDqeLqfmpM6fjJ//yQywqX42FZdehYW4PokETP9uxG13JXhjicEnNVQe3TWZ4mrFuej1Kq4AT7/rw8oUNOBc/gjU33YT+vj5MbpiM93buxJED+/CZxu/A7ZAwf00vXnlexBMXXxm1TJG+KdU08bGym3HNdQGcPliOto44Hj3yTyitqcbSK5ezG6E9OTZvfALTSuZhTfXdqGwIw+HtwC9fv4gTYaqrHt2nr3BU4FOTF6BxXi/2vTERu9pexK6OlzF1xhy2IUw0EUNHezv27tqJmyd9ERMK6zF/VRv27HThF4dfgiRSb/6BwbxZq23x4ugs1CQncCPVknlUQzxpbS2chc40SYE1HrJaNae7aVHvSCffmJHo+SQFyX4mG58TVlN9hzhWMgFoapCdIhQl5e2YUGivCpmKv6kdLrVuo556fHsGRtlXBZyNtWL9nDegTYmPGcwjOyXxs27I70sDW2VlLARwXdly1PvLoat2nOw+jC1nfgWb28kS3cwvEiVo0SjmVlyNBSWrUOhPoiegYMOFpxEnb2mUQQtVZivCzTVXQ5Y1GDEvXjz/EFrUY5g1fyF0NcFA3tsXwOnjZ3Bv87fgVgpgd8dwoKMTWwNvjdHagrrnS7iicA7mlU8FxAS6e+N45Oi/sMCuTVGYWSKKEqKRMGYXLcTKiXfB6Y0hFhOx4dzzCGpha/ekER7EMOGU3fhE9TUoLpQQDYl4t/V17Oh6CbJig6KQ9DKgGTpUNYlbGAAnweNTcbStH8+3v8ZswZFiBrXJCiwMzxu230nJtBKUTy+h7teWZDRZzS+rHbZulTb4oS08CICE3zgB0MILtdXTEplCKgOAbN8Kmaj3Nt5jWQBsHt4ZnolY09rBkWwlCOl2DC9HjqGrshIRxxmES08hVh2EaeMF4+lB0rnbBv2IgMhrp2HrI8LZ8CWgnyzwzcJNi30QhCKcfl9BR+gsVCMJUeZeNIv/iRL8thJ4XcVYfM05PPe8hKfOvTVmaxgCIEX876i7DlffEMPbLxTiWP/7OBM4wmwdsqmp7zSlkhTBgUWV12NKcxJOTz9+8cpFHAsdG90+s2rLpvqm4KbmRpTVxXF0ewUuRI9ZfasF6CaVL/JAp99ZDpdYiblrTuLAuw788uir3EMeRZmQqkwaSXyy8gasuq4PZ/ZNQnt7EIFEGytMJ/XGbHUWCzJR7ZwMf7mOidPa8NDTEewL72OhoawxRxNwmA5cG1w+JDMCeMu9mLC8mnVd4FqSiuCoYb1iNawHZBdxR1P76dGWs1QpR6QE+rtq7TowAIthKpheENFomF5njbC5dcBCFiT1aEJdZNKQeF8xLYmnbV2QCkvTs+p6BKo9hIQrBFNIsD3U5IgXTrUKgWP70Hn4HcvjzLLKAlDrmIBrS5fDpNgVyL6zunRRN0RmWFOSkXcPpCFLAvb1HsLO/n1jN1i3HIx1FWtQW+hDMkbhHh61G2lQ1D+hxfDM+VcR0EKMbj7SSDkwJTY/81RZfbNlanA5ker6x7d1oObjMoVOJBXnol14ofMVFm/LtjdJ+prUEUxPYlnxYswumMJDU5bKTnUgSEUzCGjM9KD1kgW8cvFNtMQvslBWVpCTL2gCV4aXoEwrynhMSkhMXdfMSAYDWyuSjwBWrEbYUdzcEUlVxtHegLTpIh2vhqn98ygSkDU3JCKEIrJu6YRkpoIHBehVapuhilCTfDvRI6Fz2F/thyiP0ajaepRzOzchfO40V6XZPkGqvpNkzC+cA6do5+AXdBSJnnSynD6EEHnXVqSToPhe+DD64r2ZzZRGQAkdP90zFTMKmpnvxr40KhPQ6TcWyAUZusy7pxBk+pMhvNyxDaaZhDFaD2WWAeG0tbkFs+GzuyFaMS+f7IBEmRwLLHHqLiokWYdT3ZRwPPg+WrVuHhAYxYxgyon2YJMKMMc3lWUTJFAWR4BXtN4DgVsA+tSoRcU3ETHj2BPYB40Kv+j3WZQw23TBUDE13ozp8SmsUxYB0qA+1ZKGyVc1wllCvbgH7pCSA0TXI2lLTpG11wN7AvIZCCfkL5DAGvqhZ0pA66Ep+0CRbskO2Oz8q+XLSl6NADMuIk7iVBexJXwUoYl1w5aLhV2ifczWkRUHJOLxADj+0m+g9/eNaqdl/NIAfHYnbqm8nm1vwL8GEa92v4WzkZbc5xl0JN/hQ4ACOze0BQEzvA2Y7ZuRjhoEVbKVtrGezGSCMInBV+CS0mX0Id1auQ5e2Z2Wtbt7D+Jg6GjaxLmkh7FOok+l1lWF1f4r+IsXqC2biSfOb0HUGNlrH3pNtjKmhgq1HMsjiyDKtHFPAtF+GXpcQsWcSvinpGqIU2cboEwa2X4258C+IUxHaQL0GI8ha0NavdDZWQFIklBxSrC5qUccHZbaSddg6i8ZMpg7ndA0PCm1QS4mKk/m0LUk+rvPo7iC9hXjX4uWjOHkc7+GqY0SZB0yD8Xmim1e3FJ1fXoesm/eCLyNE5FTl/TOmOJm+7IxNDNgLSmahxkFUymfx0bUTODxi88ygGZIJNY6ZHwpP5qPeqPcXX0LK39MKftDfUews28/63Ez9mYvoz0qf5Zp7iYs9S/gALQ2dth48QUENAr45zbYfsaUnjTtuCa2HDd/5TQar2pF68FibPrbOfDWFqF63oQhSWvqggWWHybaPm9syjUHtfxIhjlLOpX9GHwnIwCQZzRcxQILRKdxTmrTMECajrZdOBo+j71VhWnpNnjicH8HHK4CJv1SI9zVgnNbN7CUUO5DQLmjBDf6r07XJJOa3NV3EIeCR3KfZsQjuS20svAKTPFSHJDDIwkdj114CsmUw3BpLAE2F4sNCgo+PeG29P4e9PPjwVN4o+/tDwg+68EEE3O9MzG/kLewY2lH08SLHa+jJdFptXnM/cMhiboOs3D/wwdgkylHouLxr65CIFCIxpWTh/EBBdrirMgGMa0xrWsJBhIhCYkQT04MHSMCkOSCt0zB4Hgu7xlkIBqg+I6Jp7XT0Mp5dHzw0JJxJGL9cBeUZ/y87dBWBI4eYmn3XAfZUhPclbimcBXM1M6Ihob9kRPY3bs312nGOM7EurJVmGivhG5Z77RWG1qfQUjPXX2NdBGKofpsbtxedXPGIS2xFrzUuZX17/8A+GZzUlBrUdE8TPc2p69BAHyFTJVoK/Msxo7SDtwevaGlsZn49JdaUDs/CjHsxGN/sRCqaMO0a5ogyIOFCG9k5C62g3b5zIhhCiZokwQ1PLCv3uBFyApAnkcj3W9jojVlA9LfSCXG+lQc7WnBO+UeyLZM6pVp6Oi5cBQltbTz9sAj08/PvvA4YpGecS0EOQlTXI24qnhhOhlO3ROOhM9ge++uywNA08RNVdehUim29n+jYLKBLR2vojPZ+QG7rpIFL6LcVYabytZkZBK6E914uv1FJk3GA45sD832mCtYjAZvXQax+K3ALhwNngQ1lhqaRh1t8ch+a442YZ4yEd7KMOJdToR7XWwbh8ZrGyG7OBFh4M5VOAoV2Kgb1qBeMISXRJiayBPhmfRyZvJhRACSZ2P3SXwPjkH71PKyOwMbuo8iXj3E+aDNVU6fQsBQ4Z0y8CXSgybb29H++iZE5PF1uCIHYLZnJuZ5GyFTsSoT4zouRFvxYg85CR98kJd3a8318EieAUcHwIvdb+BClBydS4cH3b+oi2jw1mBZwQIoxPy1Wl+EtSCevPgctLHc3hweURIFrC26EqU2L2xyAU+gCcC7gT3YFzwGyLRPcu7PQb0gaxPVWBKdC93g+WArNIy6q+vgLnJnbAlGKtjulUA9wVP9I9nxxCGIGLzRFf0gJwDSpjLMA1YgU16PMiFW5I4amLf39mGzPQHZydkRqeHs7sS8CxJeqUnASXkua1AtifTiHpztew8R6uc8jlYbRBS9smARqm1+FDpK+D4hgoDOWA82db2Yw6sZ+xA7FFxfuQoOwQU3RVK574vtPbtwPHLqA8DP0h6GgKkFUzDbXQePUpIOlscMFesvPMUIEh+o1yF70yau96+BW5JQYCvlu7BDwIG+I3infy+zAcfqdJq5UiaKtEKsDi6x7OJUNASYtKwevioHaOshFtskh44aF7gUpjElWyreKTBeIu1kOuCEjBIHTN0AqT0+EbnWvCidZ0JoUxINL3afQWd5dcb9moEOrNP8CJ3rw9YmGYpvYEvO+MUW1D3fgTe822hma8uFsYHBXp+oY2XBUpSKXhS6LZtSEBCNB/Hbjk25TTLGUW7Jiev8V8JrL4DMqEvcS97Vvw/7g5QhyV1yDL0U9wQFzC+agTpHJbxKGQsKM5AbBta3PoWkoX3w9iO6jBvLr0ChvRwuyZYO0tMH9FbXOwyQY+ZJB9+8CbgMyogQGyiTYFy1oBoldQVsbzvOCyDWFBibypR4BIWHv4kRo0PQRFD8mPYMHLqW2Z0QygmTS81aa/GN5ljwVBPwevspnCz2Q+C8LTaS3a24TvXDb/fh/VOnsG9WCSQihZE1oGvwPH8Qxe0GXvduR5L4aeOADYUorileAbcuo9THpSrjlWkaHm7dyNQXa4B4CYMLDgF+qRAr/QvhJa89tfOjYOJA4H3sDO35YABkFzGwrGghypRClDirGMWJrY0JbGzbhH419EG0PDNLZF3BDZXLUOiogF1INfsUWKz0pZ6tVjZrHItkUt2wjLXBFVBM5gikR+WscpQ0kpS1NuomjekQGEGVPlUCIGvqY1C8mGeNaCtgLcuWXiPYgLQpMmvsy4ZCbTlkAcd6OrCVZUjsGWza0hPHsNo/m4H0lY7DCDQP7EiuHTiG6e8A/XIIb3jf5mTRceCFPLnry1bATMZRU8DnTcXhHmnZiLhBxm3uXvXQV0Aearndj6v8c9iX7rVzyU27aBK1a2svpQ0vXQKyrTIEEyv8SyElVEwsnpIuQaAY2bOdW9DBMjjjWJQsOHIKLlxfvhSKYIdL9LEAL432RAe2tL+a3rgnZwgSqCHhuuBVsNPm2oMG7UNXPq2Cha+4ZtShuCXIMklEovWB1xER948al5PqJDpfhGp7MsVPdgAKvAKe91ISeSjGpuORnhZovlKEei/CW8SlkaElMae1F83eWkS1KNarp+Cq5kChcEzF+sMoi/rQaevGNs/ucWxxbYHfFLG2bAVkYrE4Mqu2nmjbgv5EP8xL3R+E5WkF1LprMN83GTZ44LVzu1Y0DZyJteHlrq0faPMbpvhE4Fr/VTCSYdQUNA6qeRHwctcbOBc9n1MKcTTw+OVSrCmZC+qIWigVM7IGjZAWxBMtm9iO7OP5jkhZkhBbG1oJjzYQy6U5S5sJgGX0ZVmeNc+EEOaZ9UepOYfAdtHk5CSujskOZHuJDBrZU3ESr3riiXW+LdSR2EXscntYkTJlOApKJjJkKxdO4GbXNCiijK39h9FaXZUOzaiRIBoeOwuP7kSHrQs7PO8ySvZ4tua1GSJurFrDdtcsVPwZN/9i12toiXay7aDGtbrWLOTpkX3S7K1Do7sWLskHN9F/2HMb6Ez04HcdL3+wemVeMYAbS1dD0yOo8DSkTRDaguPN/p14P3jigwHQBCY6q7G8cBZCWhzlznK+NyhteI04Hj//DHOqxtPyJAXANaGV8A0BYMnUElRML2XkU1bVR3VDlIqz9mwhkojsIP4osz74dQViwxjMKRkTgNSEhnU3t84lhvFj/aegl/L6UF1TWT2nGuzBqn4Z1e4KxPUEnrJ1QirgrBhKxVW1bcXciz6c3V+EDqUbb3veG7cEdMOJdZVXMQKlV+K1x6nxes8OnA6fu3QPkklAYFZBMxpsZfDYC+GQOQDJcw+qYTzV/jzbYf2SB6lg0cTHyq+FroXgd9amt6qlD3h33z7sD30wR4de8GR3PRZ4mxBTkyjzlMFg5Z5gOxZsOP8MojrtGJ67mmfhI8PE2vAq1FbqqJnVh9ZDhQhc8MI/uRQVM/1M17IpRfKAOQAZD5AAZ8WjU+YLUcSSCQ1qPLNUM6sEJK+XSAjc1hJwsu8CthY4IbPqpIFR1nIeK11TmB1wMtyKXVXedFpOjwfwndWPYZLfxIZvLcZ7x5LY4X0vHUvK9YWWKsW4vvwqRIwICuVMAL7T+y4OB09k3cgwl/lZfNMEFhfOQZ2rEjbRM2jPOiChxvB4+2aoZu6566HXJQ1iEyXcVnUDND0Kr60kbVPStQ8ED+Odvr1jboc11vNM9zZhnm8q4nocBfYiVqLA1KEo4umWTehTQ+PbV4UyJ7qEdfpi/PlP98HrNxHpFvGrP1sGX2UlKmYWAwLftJIJLGequofpTSSTKusPM9BLUGD9xvnewgPVclkBaCMmzCBV/XTnQfRXE6lgYEixMNYlbHAZLhakfD10HJ21lEvlw6W+jx/d8hqSZgxv/dcivPK6iO3jAGCqTLPWWY01JUsQTcbgsVOAdWDs6z+Ed4P7OV9wrDeU5fdMKZkGVvuXocbuhyK5IFl9UOhw8uDXt25C2IxbZkPuEmTgcgLcohO3Vd0IXYvASTZmmohn4njwNLb2vT3iPhq5PtZ830xMdddBke2QU5XhVh56S9fLaI/TzlK5O2vMwdAk3KLMx5cf3A+fW4WuOfHgvfPhKJqIipklaQASYYX2BOa7KzDUIxaNM2Z9ap9glgQhhnSUSAkDu7BmBaDdRRXr/JW2RrvxgqJBcmUGnRu62rG8oJ6xook4+kTyBIwKYknw4Wzfg79cvgdnjnlw8PFZOBcPYId3zzgkICdNNbsbcKV/If9qhgRwjoSOgaQgr9G6hME0hYm1ZStR46yw5udzpZL5G9ueQ58aZly3S7uKgGLFi49X3shSVMz+tTxBsjPPRS7ixd43xhkkHv6sV/jmo7lw8vBdj3Tg1f43cTZ8cXwAZNEjA2sjq3DFzWdRt6QdgUO1eOexOhTVVaBiZlEagBQloS08UjYmkZUTsWR693X27iwfaPSiJGYsWhsMiwJUXcUzkfOI+DO9TzPci1tRgIOgRmYAAAiHSURBVAK7h9GsI/EknnH1Q/QMBJ+lV97DtBYPozdR3e1FuRM7PLmrYM53FjHTOxVLi3gPwaHjdPgMXu/dMait2DhBSJ+5CXy8Zh388sC9pwBIf/6u8xV0xrpZj+xLcXRojkp7OW6oWGNJvoF5SMp3qr14tu358XlmWR7zqqJlaPTWDQMZVba92fcOjodPjatvBMl6Ciev6V+OAsPJWvZqCYkxuEsay1ExiwOQ3Fyy/yTWjJybbNR4UktSKxIiqlKbvoHYbyKpQWd2IFexQySgyboe8fZbwP7AKbxXUgJRymQ7ey8cx20Vc5ixSRfqDYXxrDcKxT3wEp1P70Jd5wClu03pHJcNyDxUQ8K8wumYV8ApRkNHa7QVL/S8eUn8vJREJSfk03W3wInMUEPqWq90kfRohSlTMn/8MpAkKREE1hQvHVZLQq8rokXxROuzLHzyQcb1patR5SRBkTkP3fOu/r3Y33+QM79zHByAJtYEr4JPc2ec5W8qRWXKBhRUVhNC+32w/jamxOpAeKyd8wSpWSVvkm5C1U3Wli21P92QqjiTEVBt1PkIwGM9h5GoyCQcmFoSK/qjaPBVsUelFr7tgS48ZQvAV8K9ZENXUfz4PlSFi9JfZLvchW0Fe1hsaaDcjz9XtqXn1C8TS4rnszJKWkiK9w0eXfFubOp8mWUULmVQEx+ist9R+zHYWQZkAGCCYbLw0/aenTgaOcUa/gzmoWar2chGcaf7avJNwVVFC1gacvAgT1PVE3i85VkkU50QrGcZaBaZOiML+Jm9z+3fj5evhd9WOszTpZYb+yJH8U7vHv58VtOnUWZlvyKVSTsZrAmugNdw84CztdBljWUon8OdKUHi+8fwqXnbEbZ1KzMzrGbltF2DVQLAGt+HKTrNM2lDAGiwCDb1iImqcTymd0Py8q5XqWF2XcBdrjrYbTYGnKSh47neMwj4i9PkUy0ewfQtR+DVbIiyKnigQ+nBHiftpD5kIUfgqdEHROGLBkc9FhXPhk1gO5BkjPcjR/BuzwHWySrbGGuLAFpACrSvKl2CKrvFa7SClKyKy4jjlc430GX2sDTk4MEOy0VqCUCFWIJVFcshC5lSloLdrVorXm1/m9uHnN80/Itk18nuQLB0GAQs9s3BZDcRRTPJvoagYlf3TpxMXuDhuKFf/IhBWU76WB6cB5fphkNWIFsawFdbjqIptRCIJSNLLFVL89J70Kh2PM5VMQeywbZsI2eElTRQb2jWGyYLABkJwSlBkQUc7TuPHUUUVhmUhjFN1J9vwdKSyWwLJpowpMbxhBCE5BxoYmiqQTyw6FFUFIpIWACknK4pEvJJCgx+mbSwwxeXHp4KeGhDarvkYGmhob5u3IhC1XlPl2zSh5UnjqY1rV05ZVGGg9UeDLx907RDQxxJIqRSezU90wnhAMxN7tLS28jDHnIzukBtOuKImvwZUtKJpxYHf1QjXWhgH14qS7IR3T9dTM7vjQgDcT3MqtFSffuG3nW2CgMWzaMKSUNkwLKJA3t+6JoLR96+Fn3t1awuONUrkO6YGhVQHcgAAIkpQ/0ErcZMFJuk7lhWp7UhNqAOxSNThgWP9x5HrKSS15haDXr0ZAzX9IgodfrYDopkmAcTMTwpBi0v2UK9HsY/XP0Qqv05vqHc3mP+qP8hK0AxxjOHm3B0+7WQXAJstHsCqXaDCtEG1Gv6dtm2rSlhwOOBVNKRVsHr71jPPzc60GNHKBnC40YPFGcBy2iwgK0gItHXiU+YlYxeTmV4tG3Dq51HcbqklH2w1BSRvCTqtHXP9A24do51lf8hC5e/jcuzArSb2vs7V+DsoblsLxAWM6bWG9SqhTrfD9npgPBD3RMILzy8JSBBHbJSNuC/1f+QAZAS1rQRSavUjRPLaqHrSSh27gEl4iGYew9jZf8kSNTrg/KAkoDdlT1INDexoC2BVbY5kIyHsfDcW5g1pFHl5Xn8/Cx/7BWIBl3oOkv4sLO94DgD2mCe70A7mQETgv1NFK1QDS9Oov6L7MeyBOFvpe+xY1IdRkNKBO/c0osK7xWIRjoQFwIQVQmzN+soSnjSnTwpUndgfgzK/NnMvtB1Mi41BPvPo+jIKcw4wtN0+fHhWgGKRnCL2OohYnnWRLqwjLCMt87rqflINTBPk7IUGcJ3LACmlunIpBM48Xe9ENslRDv74JztY51EZ3+7CpM6BrIdqqDi5a+9B9lRgcKeKXDqhYgbfegUDsDdFcGy52ZDSRE8P1zvIP80l2kFJOov+B3puxlxjM6yLpz9iy60V0agJ2jzOS42C3bZsPrRhWk+W1xMYPtfHkB0KsXoOO+IDFEjpsFxQMCyX82AL8bZJfmRX4HhKyCAA1DOBCAdGK2L4cxdF3GqLgCwIhMK+pmY9beVqG2pSYvY6MwYjHUmIhUJJLw6jsTPIemzAk6nVdS+WoKafSXwhzIb3eRfR34F0gr7OzK3AYeOUGkIbf9/AMdLO2GkEgV9BiY/Uoipuwao5Uy3w0TcFYdeb+Di8i70To+j18F3vZx+oRo1f1+etwfzmMu6AsJIAKSjYzdEUf6nVWjXehCLx+H3FMDVbUfvFwOwa5m1AqnZKcUUr0/AnG7C3eBCeEcE7p0jb92Vfy8f7RUYFYC0NEaRAXejC5GiGMw+A8YhA0o4t3ZsH+2lzT99LiswJgBzmSR/TH4FLnUF8gC81JXLn3dZViAPwMuyjPlJLnUF8gC81JXLn3dZViAPwMuyjPlJLnUF8gC81JXLn3dZViAPwMuyjPlJLnUF8gC81JXLn3dZViAPwMuyjPlJLnUF8gC81JXLn3dZViAPwMuyjPlJLnUF8gC81JXLn3dZViAPwMuyjPlJLnUF8gC81JXLn3dZViAPwMuyjPlJLnUFhB82/OgSu6tc6iXz5+VXYGAF/i+VGxm4uUCE2gAAAABJRU5ErkJggg==

Reports a new list whose items are the same as in the input list, except that if two or more equal items appear in the input list, only the last one is kept in the result.

ca:elimina els duplicats de _ Reports a sorted version of the list in its first input slot, using the comparison function in the second input slot. For a list of numbers, using < as the comparison function will sort from low to high; using > will sort from high to low.

ca:ordena _ segons criteri _ The second input is an "association list," a list of two-item lists. Each of those smaller lists has a "key" as its first item and a "value" as its second. ASSOC reports the first key-value pair in the association list whose key matches the first input.

ca:associació _ _ This block carries out the given script for each item of the given list, like the primitive FOR EACH. What's different is that it provides the # variable, which will contain the item number in the list of each item in turn, 1 while processing item 1, and so on.

ca:_ per cada _ de _ _

1Takes a (possibly deep) list as input, and reports a human-readable text form of the list (namely, Lisp notation). Will not work on circular lists.

ca:notació textual de _ ( )SENTENCE is the main constructor for sentences, represented as lists of words. It takes zero or more inputs, each of which can be either a list or a text string. If a list, the input is assumed to be a list of words. If a text string, it is converted to a list of words using SENTENCE→LIST. Then all the lists of words are appended to form a new list of words. If the inputs are lists of lists rather than lists of words, SENTENCE, like APPEND, does only one level of flattening, reporting a list of all the items of all the input lists.

ca:frase _ ZIP takes any number of lists as inputs. The lists should all be the same length. ZIP reports a list of lists in which the first item is a list of all the first items, the second item is a list of all the second items, etc. Viewing the inputs as the rows of a matrix, ZIP reports its transpose.

The identity function reports its input.

Takes as input a function of N inputs and N lists. The function is called with item 1 of all the lists as its inputs, with item 2 of all the lists as its inputs, and so on. (The lists should all be the same length.)

ca:multi-mapeja _ sobre _ Takes a sentence in text string form and reports the sentence as a list of its words.

de:Satz $arrowRight Liste _ ca:frase $arrowRight llista _ es:frase $arrowRight lista _ fr:phrase $arrowRight liste _ pt:uma lista com as palavras da frase _ 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KBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECByxcQFpoRMBzwAAAABJRU5ErkJggg==click here to start--->01200,1000,0