opencharts/medium-2t-probability.ipynb

{
    "cells": [
        {
            "cell_type": "markdown",
            "id": "755e5ec3",
            "metadata": {
                "editable": true,
                "slideshow": {
                    "slide_type": ""
                },
                "tags": [
                    "open_data"
                ]
            },
            "source": [
                "<div class=\"output_png output_subarea output_execute_result\">\n",
                "<img 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\" width=\"500px\"/>\n",
                "</div>\n",
                "\n",
                "# \tProbabilities: 2m temperature"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "224f7469-7ad8-4910-8a7f-583df109f649",
            "metadata": {
                "editable": true,
                "slideshow": {
                    "slide_type": ""
                },
                "tags": []
            },
            "source": [
                "This notebook will provide you guidance how to explore and plot ECMWF open dataset to produce the map from the ECMWF open charts web product.  \n",
                "The original product can be found on this link: https://charts.ecmwf.int/products/medium-2t-probability  \n"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "374a552c-6803-4965-9b32-d80c18c345a7",
            "metadata": {
                "editable": true,
                "slideshow": {
                    "slide_type": ""
                },
                "tags": []
            },
            "source": [
                "<div class=\"output_png output_subarea output_execute_result\">\n",
                "<center>\n",
                "<img 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0AYOVrKHrbxPFj3IZwgxcH4/MhII534qhUwik14EKGsZi32MSgToyumApJj5uAFNqFSwnWWBt6iTO0kVOYRlLUFMZ5Md7iUeXlA0z0fz0aLl20NdS6AKFyP8F9PW14WF0SfQ103B3dDhB8diNf+igtYEVqdW91agfy7kJR34ZPiOdOQ2JSQkM2DYRBZ98T6KoiAPowRYrS5uSEgGxmORoYC1fS2xlU/A9CXQYR0aj5GkjHWUmF8YtCRMFKkQyl4Ipgtv2Rhnho+fUveDJBUEEk/lMM6smsPAuGmc3GEaN6R8QRdlEj5SmcNvWMKDmICGiyYq+Zb/so6X2cZs+nEJGt4WJVSYxxAX/YVJAA3AFmAbsBs7UkQX4FKgLYhlIFxgnnTwifKYX4t9oqa5MC3Ltv6lAbjQS2ci1t6CrK+EcAgh3ajrZiC2d8YqX4P+YQLqi346lr1Gdt09RGN/Ylf1qYSDDxPifYbwGN24mMFcQ7oj6IXzn0QwhGtJJB8T29I30ckkE4sITVS0mpUfnzUhVfxbLyfY+TUszcTCwmp+76gYHODrxxOI/POT7do2/KXoSUV4902kdQxeYhsRdewilyGcx/uEqOZjrmEmp7GG5whSTRFzKGU7CuoxGGWOd05YxO2bjH/HdMy8JUTbfYTpasJxT7YasS3bQtQSopqNfMhy/kuISlbzKlv5iC28Q5B6h6Md/cK1MHADD1PIfHk7YdEAwkKNpB71tcBRAHr1H87mdUsP+iHLD5/dBil/xfZjxyT6+WDeK/DsFHi3g3s9uNeBuwTM3mBcC+7cg70BZTpsBr5spQTYv0ky6cF0ZnEWb1DEp8zifFwYaAhq2ctGZtKdszmfdxnAVS1Y/aOdshKWEqWBDLqhE3asymaIosDAIAkFNwlEqEMAbgl7xXzW165gneu/9E0eTwlrWCVewI/t7vkpFFUk690WGzRJHWA4zqJNvNeipDQrBVIY4A6yr+A/rPE/QFp0OJoehxufo01+H/8gvvtFE9DV+Ttou+C/S0cB6LePVxTyCjohLcme4i0t4KojJReQKMDtAjQDyiKIV32wTQIW5uGdCsefhIWQKtHUjVieejyVg1EsFz8FximRKEANRcQIHMFVBAoqISQnNr3IoJ0z0fxN9O+ZTr/0sfxFqWCHmMsW5jOJh/mUG/iC28llII2U0I0z0XARabMYd+UQhDw6YNCvTs0LuDuIc0HbDa4yEFeAcSdY3QALpAkEQAmDOAYdsTkM0Kl7fwxdZ/++HXg9trJUv/VrpBpFeFIh0IgY+hhySkdEcgjV6k1ndTndP3mCsgVb2DP8EfSCCSjmZCS34+dmNvIslSxDI77lfs0+GNlKSJsYmJgouAigcwFP8gZT2MVi3AeZCD9EEjWahLfkRMLtPsVSQi2WqcQ4yEo9JoT8r0YCS9HRk7ahxFLQwpkO9uYA39aBdLrQkf40sI9eXMCd1DGRB+nJdM7mDfIZwWpeoJaduBAHhZmPmBzvmaonkLD1CtS6bgS7vkA0cxlSaVawFMdbk0Y/LmEL77Ga55BIVvAEaXQlkRzaMgIfKYeO5x8BKajEgGtYiYqbV3wDUfYNR7W8hz330NcD2nXsQfG2dQf9IIBe2fD61dDxL5D6toAwmIMh+jpE3obYR6C/D0o+uFY6eIFLgIGgOWELC6g2YCOwULO1tua4iA30kbRjHJN4iH0s5nVmoBKhmm0Us4AdfIoLC4vY98b3YySxcKNSwnb2sYwMuqHgJkQ1QZoQTmS+OR8gRgyLGM1ZCHZ6YJA+XISIZlEndpEpuhCTISeuf4DjiO98DkcqsF+F1YbCQhM+dVl84NaZ44ZPlcfYSw11QEgYWGqUaM5XNHV9CaWyF0r5QPaYCzEx+ITrCRH8npvcdD4tTi/7YSAJfPOhy13w3m1HL/APRW6Pl4EjTmTl4s+IRSNHnhbo8DVNgFdKMKIIuQgZe4oEU5CH6Xh8fkESNuDI8FUQS96Gu7YXWiTDZjzHLPwtBIIQ9XzIJZSzHrfz/WGHg8CUNvQzbt+JJKy/ActTR0WPfzMj6wEWaH+kXKzmIj7nEr6iks2k0Yk4bMBfNGM1rtoeP1/Y4jhTizdMguJkhyhbgC6gvwbWZKCtc1AAfK9BpxdgRnvomAmGBepRPKodBjDx+RKwLJOy8nIiJoRjYTz9r4COkzGbbE1Zajq+d6N0ruhN764XsX/7JaydN5xg0QioaA+axNaz1hLkKmrEXLIYSDzpmNjCWCfILr5kFwvQCeIBNjOLrbyPQQQFlQBBsunHUh6nkUbUw0aP7d/d9d1RIml4E8IoKASoR6L8HxP6zWSHtGLp6zDi9xNXOg55iJTRZooCGXShkBMAi0x6MIo/0IVT6c35TOafpNHR8cL8BI7ihF3cDZ1J3HADUjEJ9HwSPXk7QrFNOD9t6MoY2tCPU3gCgHaMp45ifKSTSqcf8fQeCdlnJ9CGSeIfnJn3W7zRvGP2grWYBv7EFIKBeuITkg+61UmdoOgBeHs13PgnKP8jkA4OiB6pQOSvoKwA920QOwFiY0FLB9fHoMdscGCNATs1yHRDz5gtj0TLXUz6cjqpFDKL83mO09nJZ8STQQoFaCgHuW8kloN6/mG1vxlAk0tXpvICH3IFmfQgkx48yQTGcjcdGIkXP7tZxiL+iYqb0fyJKJI4BDEZIkt0pbY2nvK28+gkxrCyZhF7xHLaycEt6E57gx+YM+WgcdjxzZjzmweodTWwVXipkB4iUlCrHzhLJYdvqCNehElOKSI97yt6lo4naf0EEoF8JnMCdzGLC9nPckyiCPwtYMtyF2wUtvvUsCBgOPJfAWUTdPwa1j1wVGvksBTvT2Tc5HOY886znDb9WoSioIgf2WjOZFlIkiyFQaKKvco/iVhNCLaRKmCMkHS27AjULxMAkCAFlhojkvsFrvouuBs6YjkpSDaw6OiomXV7gY3MpZTVLd6AI7/GwQzcVzqe+NLxNGUs5szOF/JN1VN8VXs3BXI0V1pLcWHvLUsLIWIpP4sAcLb+cQ+IKK3+FW1ssKiSBfo1HIhnCdAagCfgN6nwrwdp8RRpx8DbLWmLhHI9lXtm1RFZGKJ69VxZPvtaMOqE8LVBUatIW3E/6alB9jWcT9P+DGegO8BKQfs2HrVtBCs+Dhr+iWQZihiJQjJIEwHUs5ePuYZiR1mLx08M6MRkivmcaopIpxNPM4puTCWR/JYQZmvl84fUAQWoL8nDm+bDSt3Bt7Wz6MuFqBx9XPhXJQfVHk3djJ6yiYRtF9vK8g9gWITD5zPoDhzgs63n6PiGPoTNKrDw7h+Jt3wETYVvE81aStzeyajRVMKWQn8uwgKGchM+YC5/ozvT8BHnmLI/YTyOl7Kxw5sk7j8FxYg75r3oYAAEA4dPZOW3n33vAImNED+nP6y5Gzr+G7T1HGzySpB9QJwPntWAB8wuIIaBx2UfYwGlJpRI2xvd+vEFKiEscujJdGYTI0h3zqIflxMjiIWFiqtFuJawhC+5g3LWOJEdq9W1wESnnj00UkqAJpJIZABXUsYqshnIVF5mGQ/zCqewg6+pZBO7+IJ8htKBQUSJIjEIUYMLHx6SCVjl9HFPJU74WSmfJUATCgpuJDtckjkei/ddFks8JkFFtjBJA1gsJJ+4LOa7w3zmhnfMySyNLSIiAUxnLnYB72GynBrPNVhtJ1KTVsSyLVfxcU0P6oVEcRSfGnayjyWczUf4SGvJ6BNAkQLf6LAiBmsM2IOdkSFUUIvgz9Pt93m8mXdyaiY9B4xk8ZcfoQjlsKBAe9lI3EjijRJMazE2YreSZCBeHDVs56iptcdGCIGiWETbf4TaVICnagBSSFSpYBAlZkekj5jsEgsGERqxCLKZ9zCJEKLKyTJRjthj1Po4nSj1Yh+fV73MrM3vsKVqI/FxAi1zD+GkDcS0IFLRCeXPJ650zBGlBR3tc4VpoIGSHx279UMfAyzDsv9fHvi+ea+0UASky16rBJwbayBC4J0DD/SCf10NER2OsAzFocdpSQzDYPWWGGvXv8We17tQueefQuuSI4jpZHfpRtvBz1LXOJutu24kFPkAwVf2yXIwUIsw9iEML7bfrQ0CFxGqSSIbL4kYSNIpZBpvUchE3MSjAAYxkkiihh2s4DEEKoO4hoXcRT5DSXDqm7Se+wZK0Qkf9AwCgYrFbHEJw2qexMxdSrovg0ZKjs3l/auRE/f3laGnbiSudDwgncX/4zvFVkilw1dMgtTSRIWTafFzqsEWiTvOJW7vZIIdZhHO/RLLFcAUtpPfRHey1kwi1KMTwSTKT+PAAksxMD0BtFAOP0WZaPEAJKdmUFtTyXdjnQIQig20yUqATf+AXndAURzIrgcOl26InQPuJXaqjpkL+lDwVoF7O8R0G/i1wgDDBWN1DsK1NsNjqthMOWvoy0N04yze5Ty+5EkGM4MwFomkEqGBZTxKNduYyiu4iW9Z6CoKBiG+4E428w59uAgLnf2sIkwdb3AqfbiQi5lLCWv5hN/gJYWL+IICRhDEIAEvq/gQgyAFchSNvIGnZAL72s/n1JRbeLf2XraIdxkuL0HHwkKw3RA0mYJqzQKXRW9dJdmyNdIkTbLeFEStZls2gMBwloBdpkNRFqCKWzGtAHm9rqYsFCCasxNqJ2HVPsInog8nS7sWips4vEo7Fig+CjXoEwO3dWBJqhwA3EkJ9AUU0OpsoN9PYZg/RIqq0rZDV8rLdlFctJEOnXr+aH0AW/gr1FPDQu5GRdKNq0lVz6YzkGa6fmbIksTAsJU4odIgI9Tnv0hCNJuE/SMQQEQGScHFR/yOSjZyJq+RRn6rOhLfJ9tTYBIjyAqep4pNNFGFSZQserKbryhnDb25gCBVpNOFBNJ/lB2YGFSyjQZ2s5+VLJWP4CaeRJHHyfJh+jZdhAhBU96nBNouwNVQiJ60DW/JeKRiHHVxkB8igUU5G3mJiSSRyw2sJoz+PVyOUMCXcODvZvekIkCPUyDJQ1wiSEVgmeAWNsA/VUDQgGgQRAy7JKAO6m7HoADkSri8Gm46H8I6xP0E/cY0TdwulSf/+zh/v/VOZDSKkezBrRRjNkRQ3fGU7BsK4QvAbBYxQ4A05wqFwOdIax9E2oK1CNCReEkQvdgmvyKfbqTSDomkik1k0AMfaQ74z05lK2A0q3me3SxgNFeRQgcSyWsBDoK9BuLQmMUMJvEAbRnUSnEKs4o38Ms2ZNCJuI19qWg7hoLyq1Gi2k8SNb8sCSw1QixtI2ooE1dT/iGrRf4QHQj7bmUhd1HFRvIZyWB+SzY9kC2B3+M3XqRqc/BIOsmbriWWsplA92fxlo3GXdcDxfBgIOjCGexkHntZ7MBbziWF3IPUs2bPRTPPO+R7czySwcL38O2b4Ciex06tOIMgt6ATJXuKyCv4fppIMx/XVFh5B3S/E8pus1N0mkkmQux+0KaDmQAyASIng6sSlGpb449K2zKVLhhrQpzVfHc7raMjk7mF/fgd7Xc0f+FdpjOPGxnCb5nCf+jESdxNExY4yXwHYjsGkmR8ZNIdjfMZyo3UUcy5PM86PmAJD9GGvhhY5NCXa1mMdK5ji/LmkHkTCeThJZlkUcA+uYH6WAVp3hjpooAmWUkDOgm4sMs/2ueVGwqWJYmoFn0RJFjCsWwkAjdQ7mir8c68CjQ1RHbqAFIybqI4UMuunQtwT3gBdckjWOEKGl1nYBkzmaMM5SQL2pCDLmvYajxKkDupcCXQKwZtJASdegx2ypozOQOAElDqoF3ysS+Ww5HHE8eAYRP54uM3SMvMISkp9UeUANtLUs9OtvMhnZnCKdyHz0xyXHY/j+O/OV2nlE2s5GnaMZaRnMYn6m0sLnmUFKsjo6llDJeyhBcpZSUN7GQvS9jCewznRhQOHRKw147Jdj7mc24njU70YgY+MsmkB2lk8A5Xs4o3Wcp/iNLECG6jG1NJIh+dMG7i0fAg0LCrikm+5b+s5AksLDoyiXN4jxwG4JcJDt7DBEvg23sScBLRtHVY2d/S1PVl3DU9cdf0R5gaWK5j9ggoQB37eJL+dON0hvN7J4zX6j0J0CVktoPf7jQJVErcXtWuXicEhmmiqVlIcSZSBxMLt6ZgmWApcF8CfDoPTp4Mft1O78MCdYudZQRAHMj4Iyv5+2MkpcTQY1imYPnKlRjhBhJSEolGDaJ6ALyT4JzHYFs8fLPfiUmAXTYTbH+Fag8orgakBUYKgtVIIEX8E1MsIiJrUGiHjiCXQczndhopI5N2AOxlOVt5lyZK+ZI7yKAXXTmBRhoxMIlQR5h6UmlPFLiKhVhAkAZMdCwMvuJeqtjCBczFhRukpHpvAp27r8bcNgWXYWtj/+u+ACEk0YxVWJ46/DvOPSrhD/ZajAFZ9GAG76ACs7mVj7icabxJBoXoR1TO/ahHbocPhUSr605yXXfCefNp6voi3r2TIJhHjtkHF/FouChhGdVsIp50XE6IRgABqglThZ9svCRxaPPHBkdKrRE10uYHjjlyalEAhBD0HTiauR+87CgAh7a/FAHxcfDtn6HLfRD7p6McO3MqU8F4ElxXgD4YZDLoM0B7CizH8xGVsNaENBVGWna8WsOO1USow0Vci/bbnbGcyyy+4R+M4a8tWZVhDA4um2kXDooQYy4PsIbnGcpNZNONTLoRwqArZ9CTMzBpdjtKoi3bwr6WdJQA3XEdqYCQGhb1+EovpLHDBoakncyn1c+wXXzAUDmNVGnSzyVYjUrAFFRagrAlKMEGJYVMsGQzimE3cBfQG02NkJS4m8L8+ZRWDWRd77thB5BUgb74ekSsGulNgNpdNClnUW69wDxlMD41BcW6BsW8hn3GIKqNcyjF9qjEmv2obmzAQTLQCLQDEYD8pGNfLEdCPl8CoyeexWcfvsLp516D23MoDVWioBAhSjHzECgEKGEP39CNU7Cwjird80jJdrtKvEARc1guHqdSbqXBv5z9ynwGN9yIGzfz+D0qPvazmvW8Qhqd6cX55NAfsK0xiYmKp5Uj0MSkiRW8xNfcywj+yCh+T3O1ZYkkiM5ZPE01d7CN2eg0sZfFzOMmLCzq2Y0bHwnkEk8WLrwEKCdIBSO4neFcj0Zz8UaLKKbjOXOSihQLYQmi6WtJWnsrajSJWMpmgu3fAUXH1dgRd9UAO19YKk7e8JExEAkkkMvN7CKdfEdh/j6oSgCWNNldvpUNi/fgS/QwduxYAoEAK1asoGPHjrRr3449FbspLS1l4MCBFBUXkZKSRk58Mvv27EWILlhuCV47Bt6MYRTY3gSDYxP+pmmgO1X/aqvK2bxhOXqkiVBDBVL1yFDUjTvBIzx6AD1hPCKlA6b4LqqnmS/arFOhM0R2Yyk1YPVG8gyQT52RTKrYyn424iMHNz4EGmfxBvGkowONlPARV1DJJlLpwNm8gUET+yliAXcymjuoZAPLeJQzeYUU8gnQQIQa5nMbEeoBwSCu43T+i+GECA0EE+WDzN56KZ2zL6df6X/RZBxe/P+jSoDtuo+krSeWvI2krZcdtfBvTSYGLgQ7WMFOPqc/l5JPIQ0/d0VR6QQ2hYW3ZCKesjGEOr2BrvvxlI0hLdYe1VLRiVDBBkxiePEQIUyQWidFsBIf6STRli5MwYXnwDtrtv47v0lc6QkI3feTh3yQb1BzeVAUFT0WweX+YdeCIiDVBxcOh2e/ADGRliIvCJCFYDwHrqvAGAgyBcxp4JoJuhP0s4AGxc79jQdMwqznHT7mGnpzPj2ZQVuGEMZHAcMp5UTe5ExO4zmSyMGFt1W+q72EFMIs4n7KWctt7DqoZLiChuUIfMGBHIBDaYMGkEJ7qtlKA1UoaI5VGofekECC8CGJYEjd1jgNhZih0IhkA3Z6SsD52BysNQMZiqqaeFwNFLb9GITCyg3XYF3kQvSSyCYJ89KR1jvIzttQ24SxNv4LWfMJDUymwcrHZb2IztXA8whGEgbCrZEvbYDuwGBnAqqBOBA6PyFn+sgpKSWdEeOm8NlHrzF56sWoqtqScmWTzdhdeEikLQpeujCFVDo7brrj7/iXWIRpQkFDRcNEp40cSIY7nx3Kx8RF2tOBcfTndHIZxkLuIkQVCgrtGUsb+hIlgEaM9XzATj5jKDeSQ2f2sY4GyljCg0h0zuE92jMaqyVZtFlMu4hikkguQ7gWAaj84SCXX4gwjeynlh1EqKM9Y0klCwPQMR0FWHGU3+8+pIMv1iIIw4MUFq667rjrutterqQdBNvPBiWMEk3BXd0PNZRjX8fSfrSQSHOOcyJ5RDCd+/9weCcpMYlILMyHM2cxctQI3nv/PSzTZMXK5Vx22WUsW76Mtm3zmTdvLl8u+JLk5DR+/4dLeHvmTHwZdxHrakKDBgrIHq0u7oImcWQeAMs00fUolmVhGDr7ireyZ9dWYtEw6Zn5nHDKdJYsXcbK9Q+AESa1cDRqoo/qdfuQ2nwIng6GCqgg2ztXbd5oAZAKFotQGkchohlgGgh62ZxCs+htTUaXn7GOl2mglHyG0Z4JTqlai1QKmMGnfMSV9GAabhJYw4ts5X3G83ea2E9bRmBisI3ZCAQ7mU+EBs7gBXLo1OK9/K5lm05XrjKX8HXwJmYlj8OoS+E0nnOKAP0vZQbYOz6WtAM9bS3+7Rc6xX6O3VWvoBHBpAtD2cuF7GIhtVyOB5/j5f05c4uEo7hIhFRJ2HYJuq+MYKe3UGu6kFQ9jDJ9BW1kP+wwZCMreIl6ShnJraSRxja+YT63kkYPsuh6IGVQCiya0KMmnkBGiw/qp7zNgxQARVHoO3gsq5d9yZBRJ//oifEeeGgifPA3qBkDltYq20g6SsDzoF1mYwFke1BGgmeRnbahW7Bel2R6LLpEK/iWZ9nFXDpxCrv5mnW8RgdOZBx3kU5nxnIDuQzkbc6kB9MZzbUIErFTCWPoRPiEvxCigoFczSf8mTyG0Ybe+MjAjZcfEvitqdmN1JbhbOFD6tlBHTtIS0ynIC4NU45Ea7cazbsTq2Yo8UkgTIVeUhDnFgjDBjqqLomqSnRdobbatsxVRUdVw7TL+ZqkhL1s3HEe4UiqjXz1OZD3jqthTRco8aFs7YK11UKZNhO56xWsNTej6CoGvwFuBiJI53ni4sCMt9H+8jJgB4hS7I6OiSAnQfgdjj/67weoTU47OnXry9Kv5jBi3GkgJFKKg1arBUSoxiREgP2k0A6zBdJ4fEhi4UGhlio+4FKy6ceJ3MxuFpPhKuDk/AsRgT/gbuiGKSAoDXoylT5MZQ43s5THWckzeEkhQh0juI0Q5azhFWI0kkEPNvEWTVRwAvcxiKsQ0NLY6rtPIpxqGKaj1+sHvRCJiodUOpBOh5Y5avZ2/bhXxM5iiKZuwFPXzc79d9KWpFM439XQEXdDRwBMdyPRNosI5y5AINGCeWh13VHDdkxPSAGW+xAhA/GD42gWjZqqkerLo2fPICX79xAKhSgu3snf//53Zs2axZ49exgzejRr1q5h9JjRbN6ymXbtOjBnzidkpGZg5II+HNTloCVD9AQO1AkGqlQImxDfins1u/QNww4KmqbB/n3F7CneQlNTA16vj8KufThp6qUt54TDYd6a+QbFO4skQI7YKJT4vtS50xD33oKxqwyx7VNkaluoHQT0x65esQrB54AHyT6smAdpgLRsiCSEUShlHa/Sg6EM54/4gSJW8iV/ZhDXkkd/DCz8ZHExn/Aqp/Mhl+HGzxCu5xvuI0ApJjGSKaCQyUgszuRVkkkhAoS+o15+dz3EkIype5hhnb7kocC5PG+M4TdsIJ4M/jfI6RDpK0dPW4O3bAyKpTnr9afxALtOgCREBS58ePE5BuMvpfw4+ABhoYazSdpwPeGsb2no8jrxe71UBTazznqVGBF6JE5gku8GBBCzDPoyitToM9Qom3G7CtAMH6obpCUIdJhNm/LJqJnxCCDcAOb3W1kcMX0PHZSbX8jyRXMBDtvkxRMH/5kOM14G5Uo7DNaSXC9BtgPjGScccAJEh4BnN2h7bVeshWCntZ2vmUR3LuImltiFB4E97GAmp/ES4xnENQzjtxQwnGtZy4dcwYucydm8SgN7qWE7tRRTxSam8RYbeYt1vMo2PiJKgCk8RQ8mE8Y4qFTmocjGIuikEodLuGhUa2g0FK5+IZPpZ1lEaMRLfzJmXs6GTWs4/y/7SFPybb4gdBrrNBJTWqdIwNjTDRbPi5CTvInstGXs2DeJ7XtOte+nWEhLIF0Kri3VyGWvYCX9HqsqgZSoBUJQ91YUa+JFMKwEa8ebiMDliNArSLOM5thLJNER/KnAbOB+iANyvwBhgvgYgjuPcFUcB1JUlfadelBXXc6WDSvo3mcIChaYCtKSTvnXjWzmYbxk0IHxeB0L+XDv6EhJxc6xCBHEjZ9kCviGf7CaF4gqIcbmjkYNZ2BUdiMqdMJSI4qGwMTEYAL/QUenmPm0oT/1FLObBeQymPHcSwXrCVDCBcwjh3wiNFtiymEUzQNejh+yoc0W75Y4svlw0qciOV/j33axrZE336GVZt6sDCixRHx7Dyj5RlwFscxVRPI+t8/S49ACHdAa27eqMW5XnsPSDo0lcLAnLg2isoZPP/2Us889i2g0it/vp6ysjLq6Orp27Up2TjbZOdkUFxfTpk0bevTsyaMP34kpxtpdIwMqlgSzm3NtFeQeyHjXYvxIA1XXaQhZuFSbT9XXVlKyexs11RVYpoHb7SW/QxfGTjoHzXVgrFJKLMtEVTUeeOB+nnjySdLTM2gMBNhXWktAJpA34xaaekWp/Hw+Sq/uyNjF8O2/QFQj5GjwfoiWciKKOQq9biuWntmq7vbzwLPUmE00yCYK6YPAIoCkLQOJ507KWE4y7YknFQuFGDF6cDYxaokSYgNvohPmTF6mAxOc6n4mPuKwsAX/dxXCAzVNWhYEBhZ1lBMtKkTXIqR4ctGjR5fN8vOSwNKCRDNWooZycQXa/Wi+/5GSdEKMIaLohMmmH/FAA8YxFJL7ieR4MqQw8VYMR6sYTmnmAxSpHzPMuINAwMcNT/Wj3/Tmrmz2+P718HucN/oEBvf3ESwDb04MFTf1pVNJzj3gnX/rTNj6/g8F7A9P3+MsEklOXgfKS/fQJrfgx09W4NT20PF9KK4HkdTKwGxWAjqA/DO474fYeIieCdqj9p3ClmCTVU08teQymhA6OpIAbjLoyE1sJkSIDbzO65zBOO5GoFLGKlzE8196EaWBMfyFHpyNTogyVrOBmbjxkUohE/g7+fQg6DT4OVKywwCJLJY11FDHlGKNLZuK2LFjJ/3792PG9Bk8+nAd99/5GOefcxuFhYls2LIEy2xHZpaPuoY99Ojem90lJQT7NNHRWopR1p5lFTfY7njFQoYU22rwAopEl+m4TnkUtw6xJmgoVYg3QCgeqALlhD9BQg/kzmeQ8c/D9s/AdEMKyDOwXSsVQCYoA8F1F2y/54gf+biT2xNH78Fj+Wreu+S1SScnoRAaLJREBT0lyJ7gyzRRQga9KWCsE9E+evdcs6p1AM1hU5QGgjSykTfpwAl04mQ28jZdlankthG0C09GVPREYuKTLpYAqwQkShUTBSlM+vFXpsiHcOGmWb9trvvQfJ8Y0IiOgnqcsAvHEgYRNuLfiPsR1H9rZQBHGbB3rBrOwrfngEIgFRM9eTOx7MWYrgYQEqSKGk1BCbVBC2chImkHjVIIgWVKhMdFUyRMVVU1BQUFxGIxRo0axb333kvnzp3p0aMHum6gqiputxtN08jPz2fyxJP55xNrie/ZRKQ0CvFu5EkSbxBMA7zrdW5pX8n5nfaz8PMKzGjQHruqkpaZQ8fu/RmSnn3wI0vptPV15lUIotEYEGPr1m3MmHE+UV2yd9syvp55HXd9fTKPNgSJf+MviEVe6JoKNYuBGyD+PaR6F0w4H334ACi3YG1XKAOlDGRDwFGCxpGhTiTP3ESW7IriYItA0kgpbhJRnRyoCA3EaOQr7qGJctLoRA/OYRcLeJXJJJJPBt3xkUpfLiKXIXhJpjVWXCCIEiJKAOmgp8LUUcZKiviYiKijq3E2J/YcjHd73MGdln5NEhbRrKWgGMSVD8cSBhyXqpX2nNhts8NECTj62a/XD0NIO2FdFxbdKv9Ad89NNHZ9ibjitlSUlbPg830Yls7I4aMQisnrz71PQUY3+veU1JZG2LB8EUPHDKB4UwNybwMDBvRlS/EGIsGuCFzH7NgV8hC1WyPhIJ999CqnnXvNEbV63bgf+rwE4nani2BrHiht3qG9D+JF0PsB34LyJZhCB/kgaepyTlPep6NuEcFCd2K1LqeeeTwu6qjjE26klu248BNPOhKT3XzDYK6lNxfzDfch0dnCLNLpyhSeIZ8+hI8S/GF33xPoopG54gFWWh9y5ZVTGDumC4rqZerUM1i5ciWVlVU8++wT9O59IiecMAopq4hGM6it3cebbz7HA/9+lGWLvuA/cxspTr6RULIXJc5ESgX2CFgHsgIYAiQCQ4HfmrhmC9T3IfatwKoTYMbg/DLcxXHoS8/GNfA/0ug/UFilHCjxWwvUYZv9p4JyFiT+A3bfBD5Py4Ph+hWqwgYa61k2/3X8Xc9j2AdpaN0k5gMCln4B4gI8UjKAixjPnWj4Dyo0c7iFbbvbY46r34uJxKCJBsr4nNtJJA8fGcRoRBM+atjD6TmXY7mCeHZPBiGxJHgQrAE+1SCYBmigNUJySHKCadHDYa12gKK5u5etdyuHsL9+WbLHEcldgBLJwF3b/RhiqM5GbfnTVqu++1SmO4Dp34WRsA8rrhJLGLZXAIkUCrGQSV5hHrd+MfmgsR0pba+OMvH2WWRHo8SSgZMlSrVEWS8Z6/Fx7tRcMtPakpvfFkX5vrIlpYVsSR0XB/GuZlZ35ZVXMmjQQBL8Ccy44AIJCi88dIO48IYJvPxGCn9KG4GlP43xdCINbacjV78NK5ZCv67QKR7i2iKSeoIvxX48v0R+IxBfgYjaayTDBSdY0Nm0xY6FhRuF7SxEADkMIoF4VvI6FjFW8yIR6qlmK/25ktP5L+t5jxDVFDKRCPXM5w+EqOVC5pJAZsvMKsCn3EYZK7Aw0PCwm28oZAJn8BIpZNihJLWJUM+n8W+6CsVI4NckISzCbb7F8O8iqehCzOMm/G2SSFwI6qkkRgOpdDr8ST8T2aDyCC68KIBODIRAlS4ivu34Lp1Lem+FgvxCxo4dy1tvvcXKlSuJRKLc/udbWfXFTpJyNVS3xfrFu5m36H3ee28Wf3/gr7RdcAfV3yZimEe+y7q//Z12wN8ll9uD5nITi0ZwuQ9fSSrTDf7YgQI/BzFtYf9tnA6uOnB/BrGBEnOFgMAOYCYN1gVsFqVkk0uMCt7jYjLoxtk8TAMxghh4SeY8XmElr/EeF9KHC7mIVyinkiBVrOF5tvIuOQwikXwkUMIK2tH7qFizvaEUTAzSSSTNGo4gmY6FQ4nz7WH+/EUMHz6M9evXM2DAAJ599gUuu+xqTj11OHHeNKSai242MXnyZLYWbWN/0W723Xc1oXgvnmd02K6CIhFxFtYAgY6CNHXYUQl/zYQGF/oUsLpYaP8w0N0ulN2zMR+bQcyXCGP7Y15RiPauxIi3sDJV2A50BvGIM/dBsKohEgCXAq5fuJfOdykhMZnRJ07j4cdeISnnchpOTET8yURmTECr2oMmLmCxfIBa9jCWv6DhJUYT2fTix2EuFj4UNrGI3XxDF05Fxcsm3uFr/kYmPdjC+/hIRBUe2smTGZtxNoa7EVfJcISwkPKAtW0B0gDRHcQAMLZB3TL4rNrucNVDtvL0/siofnFy3P+x1A34N191jACqg70DNh0IGTSTEktAqe2Nu7Y3h6Io4I4LYUQlsZCFO86eOykl0rHEFQ2EpWIKMKTEsiQIBUVa7K4V7OVsKpLcRG8G2gN7YawX/jQVkpuzjRzLvmX0wlHMhHLIEtemaaKqKsuWLWP27NkUFLRFVRR8Ph+d2mXRrk08WkTlohElfLGskg/XmSSbu6hvbALjHOAckDUoKW7EhpdRAvPROlyASGmPuU1gdlQxqwXWegthSqp0wXKXQRupkWYdqBbqwkuIGlQ0dKAPM/AAFWymjiJC1JBGZ6KEacdo3PioYisSi8v5nPtpS4BSEsnEwKCJMiRQyUbG83e6MQwF+IxHGcS1uHERdqCjmhmPb8d5BDu+jb/ogmPqHnc8SCCJZKxCT9lK4uYrMBWjVcjqeN3DBmP7yUQ4ytKvQc1px5uZQxpdSCCXGraTIXuguVWUUGfaJ4apM75iwcIFLF68mHfeeYeFCxdSV1vHmjVrGDZgCku2fMLp005h+6oKpp5xBnPn2h18Ve2nMfdDzrqqqAwYOp4Vi+YyYsIZh/UCeONgXCF8uM2u4S0PofRLFWIXgKcGXOsgdh7wbAdQLsSw/s4y82V09Y+caJ5IHOnO4AQaHjRssJTlNM5wE08De/mYv3E6f6GYRqI0MoF/EqYaiSCNQvayCDeCpkO+/ubvDh6oKXDSBDUahcTHyfjFyeS20zn11EE0NsL27dvxeDzU19ejKIIOHbrw5ZdfcdONV5OYlMradQs54YSJLF62gvU7ttDxnVrWj+5A9C6Ng7mTw8DK98H1fyB71l+xErpTfYaC2VnBfFyiLgbr3e0wfhyU7IKohTk6JsypAu0aFWsj8A+gHyS+DoWbbHS0cIFuwo9V5P2lSEqJOyGTaWeezTMvvUK0+mIiOQmIHjq8pxLkP8SxiS28SxEfIlBx4+dMXqMrE4keArshkBgoVCFppJY1vMhC7qI9Y0mmPQKTaraSTHcSRAfay2kM8I/Hk7AcV1UfND3l0DX+PSC3AH8EdTRY1YJGAV9UgFdAZ4nTC+J/iKTAcjWhRrKO87gOpRTAoRSD5sNVCZH9Phb+FfSQ2lJ0SiKwUIl5GrASixD7B7LPI9ljCHQpEAJ8XoXtOW6EKVG9FqI9KBZYNZBVDUkCYobApdJSW+BIqFn47927lwcffBDDNHn00Ufp0bMPvXr2ZNnyNWJZUYh+UZXijRsoeWEOoYYKfEoi7vhdxMwegAmRNMQ+C3nJ9eiDtqG//18452Lo0R/tDhPRTkUGFcQ2+75hqRFGOJa6Xforg26s5RUq2UQefdGdFLhcBlHDdhRcCBQSieN+BqKgEaCEtoziXN6lkMnsZQnZ9KOePTxFX4ZwI36yKOIT4kglkRx6cg5VbCaBHBIcDwCAFszFXdubcMEn+Had/pPQ9sdCAoimbUBPX0fC5ivsmL/181goTk5Mi9cOfr4y1j9GJpIk8vmWB6hgI0O5mRz6YZerl7TP68S0K7rx3/8+zs6dxZx00kkEAgE2btpEemYawhXhnPPPAqChoZ5zpp7Ky6+8ROn+MgcqfOx0aLVLCNKz8vh2wewj6u6W6IP7x8Hcx8H4m/Nl63fa7BbwQPRScN0sECrIXh7Y8AdQ/oCwnmWj+SdUsYuJ8u+4SWA/tQjAJEoC2Ug0DEJO0ZQQ9RRjEMMkRhPltGMsieSxlfecYiqHdvvbVr69IGyLzi4i6QH2abDOBREJMSkIRAxcXsGu3cV8Nm8JCxYu5oorLuGSSy/lhedf4LXXX+Kmm/7NG288yzPPPs2JJ19ANBhl9+7dnDFlCmtWrOKKvktZtqUt/ynJpHa0MzcqNojCA0qbDlhnzeJ6bQv58au488ue7D49HhJUuwDKpNuB20HXIT8fFi2DU0/DeOrA8wgDvNtg1T8O+7p+BRK2VpiaT7ZvEvHPvcm2ntOJ7vdjpVjIujaExc1o8hpUEolRA0gqWE93mtuAHiCJXeagBMl8BPVso5G9uOnILsqAElT646EPfm7FLbtS4Q7yVcYcujR2olugEClMpDzQakW0vngyaN+CezxEJ4CxH3QNdON/sJiKY/0H8+fiKR+GMH9aZbAjvOmhFQNpL+tIA3z1rwNfK0AMO0V2j7uJrLzN7CkeSB0WNa0ZRTYwHVRVoLcTSGkXCJISkhX7QtLikBb+j5FlWViWxeuvv867776Lx+NBKBpfL98gpaXjajuIZ3YM5etbviVh70zqmjqhNMSQcTtIVEqo8fVCJiiQKRFuAbEI9O0CK3rB/iB0BXO6QH1FIjcLpGZ7kpxmhdgNhu1BqyTRlTNYx0vEaCKfYcThYg0vsouFXMtq0mnHPorJZyhlrCGTXk4TGZVE8tjCe2TT1zF0OhFHOv25gvn8no+5kh5MZzNvE6KWNDpxCk/iJ8PZRRJv5SCC8aVE2izBu3/E0U3mMZOT7pe8nUjmShuo2pLu93Oq0wd6I9pYiTACcHHs9fOP7u4qOgYdGEyYOvZwHWl0xIubmGXiQmFr8XrWvbSanTuLOfXUKWzatIlXX32N2toa7r33XmSTRiQYxeNzk5qURjQa5eILL+bPd99KTDd+UlO3H/S7CCHo0KUPxUUbKOx8aHdfM0kgJw0uHgLPzAd1stOg4+DUb/vATDD+Cq7rIHYGsNdENEgkV6KI0VQp/+BdcxomkhwGUMduotQxmjvowAT6cQmDuIqv+RcL+CvtmMAwZuAjnb18wzBu5i3OxEJnGDdTQgWpZBHFcmK1djwuRB0ClXiSW9xFErsuwYYoBMzm8WvggmEjujBhZBdOOfWSlke64orLueKKy4nU1XPfPbfx9Ref8fJzD+D3+6gq2YwLnT/eehO71s2TVw19Wux4bzzLN/fEn2xn/IVSNcp6eInlqTDEZO7CdL4esZHXnyxgd0O8jQswAWlCLAoeDyQn2x8Vm7M40ktqINxQ0wCJzaDtXynm/10SAqQUtM+UvHVdJ05+KEyPju+yce856H28iIUKgiGoeNBwkUIfJCYZdHOae3zfQlAdhS2IQT0uBH5iXIvw/g4ybSxKKAIhAcIM0DnvExqjWbxX3Y9JisEgx+XYLNAPwhxYQByYLloK1EsO6kfzP0T2iMy4qpYUvl+bBOBu9cpU7PTUHQL2eASqW2OHahfJUi1QFRDZYIwExUn306+wz5UAmu0JOJZ5tywLl8vF3r17WbhwIZqmoQiJKdwo0YCwurZHL1vH7i2Psa/bNK7oMYMHBwnu29aNRdu/Jr76XURyIsro7lidklHWWZgdXHYhgkGDoWgjlO1Fds/H0iQiF2RAQGlzmqsteGrYTYQAqXQkmTxGcBtfcgcxAvRkAonkkUUPXmI8qXSglBXEk8lUXqaAEXjxEsViEneykxV8wrW48XMxX+ImDgUPl/AuJvAxt9GHSxnDRXzEvSzgTk7hcRRUJAIpLOJ3nUFjt2dRo6m4arsdbhp/IjnCP3EX0ezF+IunophaM1DjZ763TS6Hx6/nDZLIoyeTCP8sVQG/TwoaYSy6Mon2bLPnAnArdsr5qIFD6XTeUKIywO1//BN9+vTmllt+13J+bVMIb7wbEFw0/Xzi8u3v33z9Xd4+E6p+QtOUHxQPiqLSo/dQPnzzSQo79z5sGMDvhYfGw+x/QsVIEL5DhwKQQBrIMaDuBfNKFeVxsCImpuhCofoyJ1h2dcFF/BuDEGl05D0u4ALm0Y4hWFgM4ToqWMseFjKW81FwOZ6AShLJ4wT+RYBSvuR2zuFRBB4sLOLQKGIpn/E7EshjENeRSQfcpLMPPzucAiMKjuACZC/YaknaNkoihoJblfjVWnRLJUo8dVEXCbFGup06hbxTp/DGy3PxRqPcfN8bhCvvICXJb+4vLRMVZXeqC964kVHnjCNUprCz2sOrKwtY8lYaG09JZOWeVP72aXeKh/shw5k7RYJQQXhAVRGNDci0ZHtgzW/PAhEDw7Dj/b92zP9Q1KwE5KRLXr6mJ+Mej9D9ok/Y9LdT0DPjcFUm4Ba9MeQ2OnEyQ7ieVNq0dFxsRvrbglgSIUQdIUzmI3gLeBTEJciBYRjmghoLvAI1ZNJZWYDhS2HHzrG4yk0WBjUsYWMvFXlgKlvQBs53luuAgXKkoMRfnKSC7t+H1lTwk9OnjidZrcASApsXKMIW8MKSCNOZTwFKd9BPBhkHbAAxEnCBEgUrAlTZdUeOhZp5Vtu2bZk6dSorV67ENA1CURNLcyH3l4M/HXHL1ZiNIZ7/chBn9ezM6GiERdldSEr9guAjv0PE34C7aQa0sZBZqs0g+vaGz1fByg/gr5dgqYnQTdqA3FKoMRRWahEKhZfZ5uXsZCHXsYFOdOdRTqEPF9PIPj7nYQZzHVt4nwrWI1BpyyiCVDKT0+nFDE7kAeJIJIRBWwZxBct4idEs4l+k0pEsetPIPrLpRydOJpdB7GE7tWynPScAzZ0FJUgFKSwStlxJY+9HENEkXMGcFlDr8SUn19+/j1jWt8TtnYgadcJvv1D4wSSGQYCtfMZ2PmAQ1//injyBQqylxonNz5pkPQ2E2LFDxVWkc/89jzN5/DmMGDSC6u0SQ63HJeKp2WViBE0UfyPVWxXSGpIRmt1oKFyv8VPe2Y/bh4ogvU0utdXlpKa3+ZGHczz8fnj6IjjtGdB+B8Z3MwKcA2UaGBeBdjlYw0GeDa43VWKGxVLDIqJKRlgKA+UtZElYzeeUsByBoJIdZNIZH0lM4Rka2UcMQR9msJG3WcQ/KWQiHnzsZRcWJt/wKuO4lnrCaGjUsQMQaCi8yVSyRC8GicfYLfux0ZDEmifUxPY1Z0muf1XADoE32oCrsYyEhEUE+3SgwTcKUuLJ3voB+yPdINSbzvWT8aqgTjqdR8eXcsrwXO3dWe9GHn3kMeOGf851/S3mV8ZN6E+vrBj3n7YWzjN4an53PvVn8t6GXIoG+FtBFASEmhBx8cjV65F1YWgyDrxzZx/Ffwaj24LmPuo18IuRBJvjm1CXNoDUtlG6DJ3H1p0no3zWjjQuYDfXs4UPGMAVTvZGc+EcE7t8jkmYOlbyGKuZh91CagSCS6BfEDrHQ4NEmaGidTXJ+WgxEY/Crl4non5lYdYrBLfDNw2AaVd2j2BXTY60GqhUWslTx/RvztT9HtD11yKnNGg4fz7xu05HmP+7L9+Sdp+A1oqUECD6g34uUAPKKmAQGDfa58hGyHoCBibChKn2d0fb8lcIgWma1NbWEgwGaWxsJN7rJrfLCFmyqxizdqeQN9+CFfMiNi3HuLg/F+/tgveDN5DBBdBHIW3Wm1S2aY+BBaoTVgyAWCHpGZuIXPwOex/eRiBxIDJgP5xQ7E6GTVJhhwaZ1hhOkPeRTAH72UMpy+nFOWTRhwXcgUmUcdxNPAITmzHXEyUBD0EnQdYCVDQMTBTgLN7kVU7kDJ5jGY9SzjqSaUdvpvMFf6GG7USo42TObPF+ati9SaRUQFgkbryaxl5P4d9yKUos6ae84h96A+i+/UTbfIunahBaMO+45PofCdm9NBQCVLOQe9jAqyRRgEHkVwnlCScfRCCI0MBy/SmaKGXzHR2ou6OMMfyO5a9l842DeWrMfBtv5UQ8dMAkQCj5ExRVw10zEpUshNNJ4KdUA/xRBUDTXAwcfiIL577FKWdfeVgvgKbAqBwY7YGv14PS22nneahQQA5wHagvgdEd5ERwfaEQjClsEnZf+1SpM8gE1UrHJVVmcRE9mcZk7iKCxEMimfRCBxQ87GcNPtIJUs0nXEcOvdnLEuJJIQqoeAgAA7iIoVyEF9iqlLFQ28UmelFjQqzZckkG/BI6CjAEvu4h1Ioa7klaTJschQcbLmN1ioqruy0dRGwgfR7ewf3TCznx/GbfvQ3vicVi8uyzzvaefdbZTY/8+77Ybfc95zl7zTb3H647A298PEaVxjXDi7hm3Ca+3JXPv9/uyuLMEIHJich44J23kcKAx9+S3XtNZv+ODFGXA+TZjEYA2jJ4904b/Pe/SgKb6WckCk7MUPi6dii5Jy2k8G8r2ZGgURawOX8N25jHLZzGMySRRpgo5WxkDwtxEY9OE+t4CUkcQXqC9yJkFxOGe6EIOF1iDRCMvHsNPbUG3up5MrQ3kQMVrN4C8VdoLIbF1bDePNDWxeLAehUWaCE77o8XYhrskJCjQBvjO61rf00SJkgLYcT92iP5QRLYHr0ATvneZkOzO1inAfuBnWC1B/6CrYmFgTVwTVu46zI79g92uOBIqRn8t2/fPmbMmMG3335L586dmTJlilVSso/dm3YpWrof44X3Uc75C1z+Z2SBSXkM8svPoX35+cQlLqSqphQlN9+2nJFQJ0iZFWPo/kpev3A7daNLOed377DygRzQcyFJQppAqYIa0806xeI08SfSpUkRS5nL73DhI4+RrOZZRnAL2/mM/ax1Ml80ItQTpAqdNOJJPcj7ZLvyTVLIZyqvsph/4iae61lPNTuYz20k0Y6zeYNUEgk65+qEqKaUFNrboFqpgPTg334+wcJ38BdNRxjxP/2Ft34HvgqiuV/jru2Bq77zLyb8m8nGnwTRCTKGOxnNbQjsQnS/hPv/u2SnJ5qs5UMy6M5grgPNIllJJmaCpdhdH2NpW3H5C/A05SIMQCSQ0ngB0eQ9RPrPxlPVF7WxAyKQZRuBxziew24nt8cLQiF2mApSzWpBciJ8dAFkvg4iYLtYvzc6J2atnwnyN+DaAEZfUEaBxw31JuyMwgbdxWzVRZHal8vEMiZyN1uYxSKeIQG3YxcajgvXjYdE4snkLF7mFoo5Q3zAUOV+EAlYWKgIFCx0DBqJ0YhOTMmhyhrBtphGdXMPXT8wAbhUoAww8Mty2td9Q1rDXPJ6j+e8C8/hoZMFI+ZZGF8r6CUWZUu6MKFdlD75W4jELKKGStRQMC2J2+0Wuq6j67r/t7fcHr9o8cKGD7/aHnrmtXlSdQk8KR6krhGtj2Ncyn7m3PUNl+79D/Gn3oEYOB3+O1fm/P1f5gm9O+iblr/BvQX5jHgW1MUgS8Hab3dOq/5fKfDxAyQcLGBOGrx5OnTcpbEnbjRCFRRkfkgMSbroxWCupwMnsJlZBKmghiI28w5FfMwcfsNnPEpUDMKjvIeL2dBnEJykQkBFJEooUPDs2kXf5L08dN9gHmvrIfsJgbVOQF+QfwLZB+oKYW8ClHlhH1Aq7K6uJIBoBFc9dqH1LhDJgr0WbHJBnfrLlRSRzn+H+gWpEE1fj7uuO1j/m9Z/6+1/UN5Npq30Uw8UA1NBPOw4SKOQ+TxcuR3OmGYr5eYxcrhoNMrTTz/NypUrueOOO9i2bRtJKSnirbfeFlq/gRhdTwFlHNbT/0H27wbn34Bc/zZ7creRqOwgt6ItGYtNtLIarJCCrBfIV+FOz2bm/HYRcWYl7YdNYsjgDNi7CXGqDv0EMgtwg8DEh0IRc/iCv5PDYIbxWy5kPll0YwoP0ZeTiBLAgx8VhRgNfMM/eIp+zOMWytmE9R2VU6BiIslnIJfyLjN4GQtIoyOXMIsz+DceEmgk1jLztezkM/5AgLKDrqWEM/FWDiHY7iOkcvxUWzOuknD217jqO+Gu6fmLC39wlE9ieEikDQPRMIg6yKJfniQKKmGiNLKbLHrhIxGPkUwwZmKYEmkIDCtCMH0+2t5hyJAHM2aX+9WliVJbQMLqa4mZMQK5HxFL3IbhrTnoHkdDh4WIaZqL/kPHs+TrOYyZeNZhvQASiPPDQzPgghdBu8EBWh0qvGSCNQlEGLTnITbY7mvvWgZmyEbil8SgQZWEVZ0zzOl4ZSZf8ns6cyIZdHIcChZt6cpwrmUh97GWB5HiLJZpXUhWLqazASEJbgkuKZBODMaGVTS3AFYcASWRYwQkgm9zNanDd5HmW0HJ5OHUrJ5EQxgM02R0B5UnLoQnPoWqFQpJmRaXzDiFXVs+JE/JJK9tB6cCmf3QrgPlSJXktPyM9959p/6CCy9Q87IXuHv26yo7ZqUKT3K8IKohAx66ZkTw1L1ELGyaQ7sNtf77yeexHl26+nTDFL8ZJfnNKMGNL8L2leByg5oNvl8CAP5TyVEC4vyCK0ZIbv7czR6GkRZdQ4IWT4E5iU6Mp5qtbOYD1vEGBQxnLS/QlclUiizc4m7qrEuJSMAfhagbGgXcJJGdBL5ILcbja0jL64QQeUwba9Kxk8qfXodGE/aNhn1nAV+CMgLkN6BEgFwwuwPSVlzValAMoAsolVC/F9booGnQD0gwD64LcKR0JJFW6axSt3NkM0j1wDw6pX/bfIt/20U/Uv3v16VmbEVzHrwwQUkC+gI+YA/we2AkyG1APMitMNIHT19nVwBUj0FmNFv/K1eu5PXXX+e6667jnnvuoby8XK5Zs0YqiiJwSeh3P5hLIWEjqPdARQXc+jhqOy9rfCcwNq8/g5YuIdSgER6QhrYvSjd3kEm9KtDDAlO4kA01pPfoi7KqCuvcKhiQg1pnQkTFKlYISyhgBKv4lH0sZgiXEMVOD9OJYaLRi/OpYisClaU8wjIeZSDXUk8Rm3mb8dztCLMDZP9tEsAiSgA3fry40YGYUy5Y5YBimEMvZvABIeq+cxWJq6YXhr+USM5XxJVMOPoJ/+78+yqJZC/E3dARb3V/LOXnS/f7YbKLd8WTRhemkEIexmF7avz85CKOMA2EqAanLbSCCsJCkSqB/Dm4y0eC4Tt4zzsFtwxh4SsbA2VjCLb7CNO9DG/5SLRwJoruP4D1OCSXOVhBOCzXEEKQkZXL0q/mYBg6qnr4iINbhVPawkAJK7fazyi8zTFg53QbC2G30Z4CriC43oboCNDSQXwJOIpNoylYj4uIajLImkAneRtvcyWTuINUxgAaFjGymMhpjOADzqBeCZJs/ZkifS3lIoU97hTamSYpRgQLiUYqyWRQKxUnNimRlj0wj9FAvK+SgvZL0GvTUH3XMbwMqkug3UjQVJWoLumVDk9e2PrJPWysyKGhuoy8th1QnCRowzSthvp62dDQKNLT083KqiqR4E9Kbtuuk3HHY1+YHTvs0s+a2MXdq1Oa4o/3WXmd24r3P1ulBIOKvPba68L//vfDcYpCfCym43ZpGJadIvXIpYd7e/971Az89XogzyWQpZJYnKQyeA6p7g9ZFXmQVTxIV3kJ+UzlW3EzqTITD4nsYgM9eYc9cgQQQuBFJnogD5QsSfsKQdazYdKULwnpWcg+vVGEQSiq0S8XPr3VHsNnG+H1evhsPJSboMQ5jDWM7Y7+AyhuMGeCkQ0iYreyVjSoN2CZtNd4Hwu88shTAyUclJgq+b4CIZGoCDQEUSQlbEZBI53ODt6h1bFqFBFL+J8C/32XworTkFI6VrwOVhIwCsR6Gw/ESEh5D3puA80DkTD07WXXsbDj3sdODQ0NTJo0iSuuuALDMPD7/WG/z4tlSR9FRRC4H3avgZQM5AWXo26OQ14H5kTQVq9g4T2PUFJbzfWD0ukXp+DuHmZAmwY8bh2pawjVAstF7+x6klY1UrdBIi4AsU1FpgN1EKwBS0nnPJ4iCAQxnV6KilPfQkVDYylPM5o70HCTSU8m8HdySKGaGHtZRiY98OBvWQMuBBKVYpawntdpQz/aMw6dJjLpxXfrOBpIJCZxpBzkjZEIEJK4PZMJdHmVWNp6PDW9jxkUaPoqiOZ8hauxvSP8j3+hn8OR7eaPUs1uZjGDHAZyKc9SSewgpeiXIomFC4UqdhGgDB/pJJJLc03RZo+e6alFugO4GjuiWIcq8Wv347BrmED87tOwtCBNnWeiNeXiru2FEsxGkeohFQHXd97nEb0VRaj0HjCKjWsW03fQ2B/1ArSEApLhgwvg7P/AzlFQ1RnIB6G1yg5odQn9PHDr4PoIjG72uMViByhaCxFTsMVQKZcGHs7DIJuXuJEELsfPRVgkIZAEmAN0IN68nL08hlAWErBy2Bj1s5kokjokEi99iGcAbrMHMdrZiPGMKPFGFbnFy3FVh9hy0nQiWS6e7WkwvVu5jI2sJSaTpGnmSY/rYLvExrpidu8/0pr54qPK/qpakZbVTjQFAuwqLorOfOttY8f2ba6JE08IFRfvcNfVNShJfq/2u5uu1xKTUuLe/+Aj8+UP1hoejys2YXChWtMYcw0eOsy8996/+aU0MU1wu23xoTnzppsH63Pu/105cBBJaYcD+idDT7dgY1sJTelUrLocl/UZipbGLnMfu2UAU/pZSyUeJtKGf1MsfdQoOnh9SA9QAEquxFonOGVolHtvnE9xQwJ9B43CjtRr+Dw2CM0w7fue2NP+vP85XLsZKh4FZSVYd4C4HRgH6vswPB6Ku8P2NdgFgpJtr0CjCSsVaKeA3zzywkAqtsdbKgdCCH5He7BZgA1aihCmlC1Us5X3uACJ5FrWk0OvlroVQiqEcr7GUzkQxfjfc/0IoEbAKhfUSAia9rx53WAlAFVAGMQwkOUwdC98cvtxvL8QxGIxFEVh2rRp9OjRQ1qWJQKBgOESpoz3xRMLh6SFJsgdB0kJoGiY4RjsC8OeWix3IupzDyPnmXjLX2do2nK86e0wQibSUBFCogowGw3OPDGVbz5dwxOvzydWeCHmCTpa1ItZLwjXwlrFAkyyLRUvKvZftgWfiMo8/kAK7dEJM5SbGMs9KCg0EOVDrmQ9r3I1q8ijv1OozKScnfhJYx+LWccrbGQmOhHcJHIjRfhIOkg5FQhcaE7Q9MCKldhgUoRFwrYLaez9GEosAVeg/VErAWZ8GZHsRbjru+Cp7vOrCH+cUXvwsYsvqWc3HZhACMnP2wr4x0ZkY8W28j4+0unGGcSTcaDVrzARUiHQ8W18u89AiSX8uDO/pcmQhTB8JG2+gmjqJkIFc3BXDkILZqOGsh2jwX6HFgYlbD6oKPKRKQCqSkFhdz6c+QR9Bow+ovxNS0JuGiz5Gzw6F956GVaPh0hHbACgPSsHXSZ2CajtwfUOiEyQU8GowI4RBsBshEpVA00HcwxKdAEB4zIC4V3gux4SO4CYCI0LCUaGQOY9EP0MJVYDwRKIagjyEfF+oupTRELnQpuHQLkYv7+E9AHlpLKJPV+Op6a+I7zWgJiqcqXHz71PrjRq51woU1JSzd/f9ns5dMgwj2lZSkF+rtnUFBCbNm9RhSCyZfOmaNGWVe6tmze5vR5NqJqmdCvMjvOYNZx3cl9q64u9Uyd04ouv13LDpSfxxZJvYo9/slhefd3Nrt9cf4O6dOmS+CeefJqTTplq3HPPPW4pJVLKFm9Ca/pfTPc7EmrGArTPgi9vh3H3STYBquiOsbIjwihH8AWmJwMy/4VQriMqYY/DRIm57DTJLiDaSCwLRLbOjrXfsNcHvUdOIqpbqIpKc6VMRYDbWe2WhEgMpp4ACQlw0YOw/wJQPrOXpAI0ReH2iyBQBRdnQe0UEO+CDNohKyEOdssfLvLmlBZgqWYXm9IkJAgYrkNOi6WrECXItzzEN9jFsLwkE08Gq3mGVO7HSxyGsBBSRU/Zgnv/sBZmoPDrFipqbVUawF5gfdQG/zWTyMT2em4FWQCcBVTaAOKYAREDPJpdI+BYq5w275fi4mJSUlIYMGAAlmUJwzCYO3eOZ+78BdJSdPxNMVE/NQ+pdYR5KtS5oKuOUNchP5iPtXYXVDVi5E2joq1Jbb1JdqqGImItxVcEoLk1aGjiP0+cZDRevIA3HnxHi6atxVo+EEXrTn1cV4rCCpVuGK0LspyZ8ll2gqsO5DKEHAZQzRbW8By5DKUPM4gjhUSyuYBPyKa/I0YkBmEWchdt6McgrqOKLTRRSRkr6M35xJF0EH5EOBZXPeUk08YpIWKxkufowDi7Vn6zErDxGhp7/peEohmo4YwjUgIEoPv3Es1ehKu2F56aXr+S8LdH04z5GsL1bOI9GinjQNmvnyPd8YdJYuJBYytfIlDpxpnE40dveTv2fo5mrsRV3xUlmnTkY3RaflvCxF3bA3dtD8J5XxBOX4Nn/yjUSCpqJN15askn3Mg4rms5/ajeTsdufSnauobO3QccMON+gBThWF0W3DDZ/tz4EixcCeungJoPprfVczoBLnOM/QHbClM/BDEOZHOzAw0M3YWo0ZGNKajhd2DLTUhxHbLPZZDVHrm6FtFwEnLgGMTy/lhJwxCpf0Rt1JCBPVh5YWR8BTReiH/UONxyIbn6YhozT2Z14CroD+Kbb5D75iBf64F6Zifq+g3VPDuvpHLDM+4Xn3qQL+ZkmWvXF1kF7TqF95aUasl+4d22syz+pHH946+/4jTME7vQt1chGT062igm1ZF6qiIRQlx9wWR0y8DjVt1pST7+cPONLF6yrOmN11+PW7d2nZqckqI1NTURHx9/SOH/f52EsBH36fHwxW0KE+6HTfSE9t9A3RO4188hJX80wYlXEQ7rqE0Sy+UCj2Ijwk2gGuQ2CZ0F0rOGnrKensPPwDRN3Jryg14qRdgNkiI6nDAEXgQunQn7RwHpYKpADWzYDb85FS7ZCf/2gedisJ6E2G4Ix6BYg2QLEuTht2pzMkyaCsuidkpcqgrSBSOBFDNEiDKW8BRL+DftGUeMMKUs5TK+4X0upoHdeOmKW6oY3iBqU66DZrHZSNiJA4uWgqe29n/0nQWPngQHwhvNCoDmfBTnSwvs4lbVQD7wgHNCCcRCtoImsRWA40EJCQm4XC5M00QIgdvtRkUqgUCQdlk+kgsns2zEaUhrLSyPQhfgAhVZlAoVlyKu6oD4NkLukqX0zKkkpptEAwG8XpfjxgQkmJYlS8tr2PT1nkCH/j4t4W83JETqqrA82ciCtgjfzVSHTiUQ8zFfs1th52mSfjGFdNPWcnpxLrUUM5hr6ctFvMRYojQygCs4g39hYHuampUsL37Gchf7WcVqnieDHozmL5SykrncxCCuJ4eO4ISNDGxvw1uczWT+TR5DsJCs5xWynEqDAJpUMKWCv+hCmtq/S8KO6SixxMMquHrSTiJZS/CWj8Dd2P5nF/6tHciHxpnbzZc+4x+UsZTTeArrYBjqL0a2+19lH1+TSidU3OgtHMFmHtJdTyR9NfE7zkUxjrZKoQCpOuW5LeJKJiCBYOE7oOi4K4aihbJpMurpxpkHnXnEb0jTXHTrPYSP3nyKzt0HHBFjUYTtljacjLhHLoGdlXDpf2HFUJAnOWlXzZp+cy6WkwhrTQVz6ncedT1oi0DZ6UKm2/3l6fs41p6ZmIvvhbIqoAIUH2LnG85ErkF638ZMyUDmu8BViDuUS3Kv6WS5N2Jkq2y4+B7IBmWlifXSRnA/A/H5ULMN66VXCAxoL+LTMokqadx4ySQu+cNN6t6l33DWNQ8kuDTJ0/+6gSWripg4upfsMbSbIBRl0YJlRMJR8ju1xWwKU10bwJJS1AdCsmhnCZ0HdLMuuvkxUbSnyurcvq2Y+cYbcX+9804lJzcXRVFwu91HXO/8/yIpil0xMisRPv8dTHtRsr9vFjsT7sEK30PyyhXk75xJkTyZSHIaImhhdRFwAbgaoNtsSXaaAtU7iK4uJbf/aKRQsUyJqh5+3rwuiOowaQi87IN/vA/xCeBxQUMYOhTY40vwAQWgx4G2wV6mDcWwwrSLBXU1wXeIHStbpedI7GZZjZZTEEdCrWlr5d+6BEOsBt6Xp1LBNjwkouJmJL9hIfeSSAHpdGMbH5MmOtMo9xHLmUtW5TloRnyL16KKvaTQERU3WkvxpOYqlz+fItAMTqvGZijNf9dLDnRQlNio22wQfuBKWgor+IugV+qBa/3k8Th7Jjc3F7ABgYqisG/fPvOFl15XEuLd6qznrmd79EqmevIQa2fBJDdcbyDrNQp39KTv9jrS12wlLk0wbZLG8PadWLRwBZZSSYcu7ZHhCKZpoqUmsfCTJeKWv8801m3akZSbV6BkF2QSaDuByPBzEbu9yLLfIlydier9KNHtt9UkLeo1i6FSkIykQI6ggxyBgUkF65ziPQbreIWuTMVLPD6ysN+owMQig87ohHiX80kin03M4jqWsok3+ZzbGMfdWERRiSOVjggUmijnE27kSpaioPIbFhGhGY+is5VP6MHpqOE04krHEyqYQ/zOs340yySWvBW9zTLi9p6IGsp2AH8/r+VvCjCdfhSaFKitsDgWJnFo7GEzq3mOsdzNeC6ijBiuXyH+b+eCQDLtSKHdwRgEx5vX2O4jfPtOQIslHaXwb0VSAAfwAQk7pxGLqyTS/gOsuh4sqX+G+nA9cEHLKUf1lgSCgsJulOzeTl67zhypm0KzG4IRM6AwE778K5z9PHz4FahjbKRvixIgQLhARkHWYyOFm00LL8jeoLdUJm52eurAdPgkCfHHWxGdR0BlJezchejaGRobkKoPWb4LVTsV/5inSDdWkDh+I0VTTqQpLheBge9tg+FrvOwqfYsdmYWoOXdhbgR5OohwKbFdr5PRPp3EpFS2rFvKkkXruXTaeAb16cCgQV0ZMmUY1DYKWd1IWFoEo5b8atlm0aEiIBsCYfnlkk1SNxVl+64qa1dJNd0674ylZOS7/nb5deFde/a6JkxyKykpKcqUKVOO5rX8nyZVsT1FbVLhm1sEc7+R3DZXZ/2FFjvGDCK7RKVT6Wy2DzmJIFkoSGRUEPet5K6ugqmjq1j15Ro6nNadlOxMLMvEdRSxEY/LFvITe9mf75KUcOIo+GoWfHUGmOeDWgYyBg17YUUMijy2S1+VB1sihjxgKIItFEO6vVqb9f86ExIVC59Ip6OchIKdh51Od6IEuYB5TsJqkDC1uFGZzY0kRsoYGh5EE+tw4SGBHNLoihcNBaikhP2sJoWOZNAFF2oLEv94k4Kt3LzPAWCjgi38AwAukClAIdAFpA50deyfUhhWCQ9cZc+J+zjKjebwWXM/k0WLvrG++vornvjHNWq3saOpWbqJIfNKWNplPJq5Db6dh7GyHaftX8VD14chLRWiJtSbWCIZVSgYum4vWAkWCvXhCP96+mO5btMOxetxixdefIHC/GSenK0ys2sfyuZVw7JspLocMrogyr2IJkmVoRA0oUG1MT39pa1IpkiVLXzIBl7natawlffZzNsU8wU9OY8B2DWSJQITEy/J9GYGBjpj+JOj9GmUsYIXGUOEWvxkM4o/MYzrOZs3qGFbyxw1oaM46qJOE29yBucyi25MRW0oRPHvJZy7gLh9kzgUv4+lrSeauRL/jmkIPQGE9bOi/QVgKLBbsyix4YskSkFnU8FvOWsIlQghvuJuBAqdOZEadLRfDf1vK2wptKWaIjLoQTzJmI7rP5ayETWaihrJ5LiEJ5yQoCVMtHAmiZuvIpq2jtzMZJLqMg869Ki2m8vtofeA0Xz8zjPktet82JTA1iSwN7fpNPN48UwY9Djs7Ahq7sGxS9kI/rmQp8H+FCDeRhAHvdjAL7upsj36dgp4HKfjyScjs9tAcib4NLj1DujcDWIW3hET0YpW4P77wxRkPsP+8/uxs2MzjN52OQQVwU3TJPKEGcy49R4aGp9EmXEVlttCM3MwR9zKNR2ncebQ3Vxx8T08//ZCfnvJSXRqn8X8BatxKQppKQm065THcy/O4f5n5sqamjqZlpFuJCdnmOefd66M98e7R0zM1ZKTEvngww/ipp41lQsvvDCh9VyZpg0NUY8l/+n/IDWHi2IGTB4l6NrBxeRnYNsUi/35/amv99D28dnsOf1kItk5ELXQkhQqwyFWLlqETMglObsHsZiB+xgkiOp4IozvBNBdqu2hGpYP90+FK2fC2mtAuwWUvwEqBEohED72Z29uRuyRLk7nEdYxh70sYj/rWMET9OcKNNzs5Rv6cDG75SqSPfFUB5p4Q04lnV6UsYwMetKV0+nABAQmC7mPEJU0Uc6NbKWRSjwkH1cEdGvvhopt4BdzAOOBgi3o3SDbgewEVIBob59k7sQumVtnA1oV4YShj9P4mjsGKopCQ0MDixYt1oRw+mOEBCN7N3HNgsWsXz6c0BUTYP4n8OkK3tv3ORWbTWZMO5lRw7vhdbnRojEK2mZTWVlLoKYOf6Ifl0uhekcZkbAuAdF/wEBR2K4thR078mAXk26fmtwg5xBKMhG7rkGO7Q7tRmFVWlDcSKhpC3sNH1BMrZqFqbQh3wwQpppMelHCVwTYTxv6sodFrORp8hhGFt0QCDRU2tCOi3gNiV0/KUA9/bmSIFWUspQ+XEyQSr7gz/RkOp0ZjM5gp8S2QG2Vl+ImgT5cyDZm05szURB4SydQ23Em0cyVeCsHtirhK4lmrkBPW49/62UtIMKfs7xv8zqLCMk2Cet0G+muCsl+1WKMUHCbIRQs1vIOm3ibU3icjvShhtivoADYwlxzlO/+jOdD/kkTFfhJtl32rnrCOd/g33luqxS+43V7O23QEhbumj70rnmERenXHXTIUXNLRVFok9ee/aW7yc5tx9FqLKrT3SslDd64AMY/C8FznUvYHi7i5sDvQnD2abBsE8gGWxHfWWY3u/Ekgt4Ie1RY3Af0DGE/imnhUvrj328RSxIkn/xH8h6+S5bXVsn6mduFFtwiaru1pXbsqUAOrIpBnAvVpWJKSNBVaqoNLjyxB/+++Wr5+/sfEPU73ZB4LvokFxSDz1WNOaCWS887kahhsXDZZuZ9sw4hoT4QYmCvDvz91umUVtQxaUQ3JTM7U361aLUmNdU6YcJYz7DhwxWAWbPeZcP6jVx80SWYptki9F0u1/83gr81KcJ2yesmtMuFub+BC55QcHWxiCo9iHd7yX7tY9YNmYTmK6BNbZSqinn4hvroPmg4pqm3ZEkcC6nKoavMKaqNFRhYAH/oD795E+qvBK0W1PdAJNACUpXW988X3/m3OV6p+OyCNzFTErUEuykhikU+I+nHKbzP7aTSkSI+pg8XkstQvhS30yQbOCnnDMIlHYmz3FzJLJ5mCjXsYBH3sYX3MNHRaeIqVvE8IyniS5bxKKO4jTyGHfMcHTQv2MyjhSnjuPoFeOPBSoNYGxuTq1XYeB9TB5kBTUnAZzBuI/+PvfOOj6O63v73zsxW9d5lq1nuvVfcMBjTey8GklBCIA0ICYSEEhIgCekBEgKE3m2Kwdi4997lIqv3Lm2buff9Y3ZlGQwYsA35vTwf9iO8Ws3emblzz7nnPOc5tPhgiMN2tqwvI6rwOejs7ETTNFatWsmrr7/JyMF59C/KoXp/ORm52fQfYjHpiW18tOEUkgZcx2kZEFsSx1/vuY3/vrmK1//5Y868aDpWQyuZBTmU7K+gtqGFmJREQn4/enQUmiZEYWGBuP322ykoLERKi86uIHNP9VDy3lb1x6Zq5es9XCMxHpGnEC6BWrEflk0H5QbRRIuVwltiJPHCyQA1jHN4ghjgdXYSTQZn8ARbeZatPEsSv8SLg32sARRpDEKgY+BgE0+xjAeJpzfRpOEmAR+NuElgGb+hmNPpxSQ8aN3S1mD319DQuYT/oIAmGqhhE/GiF6l7L6ap/9/QQtE4m/sidb9t/OP2EbPzWrq1sk+Qtr9AIVDhagi7a+tGS+IyIFPtYJ/8Fz6ayGU8TuLCjeBOfCpVD/MvumjBTwuNdKLhwkkUSig0pdPRaz7eiulo/oQvXXb52YjwA6RNCW0oPOy3X9gBcDhdDBs9lXdff4pzLr3pC0UBDhuTgn658OvpsOgtMKNhbzbUtMH1rfDLG+3FZVDapx+mzYT7XoSqFWA47JBcr1STwlwDXwUk5ubQ9/kH1J5lr8pX33xLHKzw6Z6im4jbmAkrQ4SCThLdkJIE7Z0woB+cOsXANAPMvWyaMNyG+f0LzxYFl/r1It9l1OwJMrh/EC3oZ8KEQUyYNNDuhex0QjDEwlc+or3LR1FeBr/724+htpGaxjaRnuAWf3nqXccTTz5JckoqeXm9Offc8zj33PO6z+X/R6N/JDh0OxrQOxWW3QMBU8OlW1T6CvhglYfWTe/QlDCFaFHBKaOd9B81Kyz6cvw0kN0OWxL4kpNh1zPwwH/BvByMKDDegVA0UAmqEVQHh1l7IxZEMggPttUM835UBqgKYEuIZsvJy+KHZLCbOPqRxwzW8RcCtDOK75FMX5bxEJO5i1atihxXf1LEJbjIoY0g2YxDIhnA+aTQj2gy6KQWDQfDuZL/MJ0ECrAIHUae+qIVAxFqIdjp+xrsBUQKaFdhsR8FIReY3wERAG0NhK4CdYH9d9HzoOBDm/j49x+Gu2KHj3ksH4HIutTY2EhHRwfNzc3K7w+o7PQM8Zen3mFAUS7fufV8tm2r59LTHEzTtlPcVc+Zp5TTWOjC23ghL7y+hAf+8jrxMVFMmjAAJSVelwPTNLG6/DjSE/nVj/6uPlq1leeee47TTz89XIGg4/U4MS24YO7VgY+WL3HsPfVfdNw7AP8Kif5fhZE3hFDLtaidH4E5HI00pEpD069msBxIl2rFj4dJ3ME2nqOSVRi46c1UKllDGoXs4Q18NHMyD+PAhQC8JJFCPxQSixCr+D3RpKPjQGGxlPtp4RLi6UU2Y7sjQpH68A6CCDQa2cN/mEmsyuUGsZroXdfQ2fffYDkwY8qxoiqJ3XWVrRx4gpn+HqURDTaxVIXlfpVivQllWh2l/IVeTCObCfhpQj8h9TGH63VqKDpoop0aWjlIO9V00UIhM+3W9koQTNyGMGPRuzJ7UHmP1/A0BIpSsQCY2/22UEp94e8NBvysXf4uxYNGk5ScES4G+Oqey9LdsK0KLjrJrq8WPVYchb24KA6FGJ1Gz2/t6T1ZdDQfpLrsIPv3H2DImBmkZ+aGfxchHHz6eJWCkGnidBi+237yEyvRt8F716+u0nADbQayy0C5ddat2UVpRT1Ow2BQv1wK+/UCQHb5aQuZPPLYqzz6z7f406+uVX98/CVOO/dacdfP7+5mJiul0HX9/yTL/6siUkFihB0CAwuETtDs4tUnf43Hk8DJ59+Mx+1GSgtNO74OlFT2DrU8CL94Dp5PDBNUu4C/A2uwVe0sbCnpcBdBsoG+2DWAkp5bLjtxvjgEex0YFbejWIZbVGEoPykMpoVyokjhJH7BAT5kMr8gKrWRNlWBp3EUStpfsYt5hPAzjPO6CXgaEMDCi8487qKLWs7in0gBgXAUziO/2LLoB8oEOAU0K/hI2WH/SIMkP9AeBYwEBgLNQBFwD1CvYL1gyHNV/OXqRYw/6VIs07JDLOrYGv8IImqA27Zt49e/vs9atXK5qq2tMXrnpPKvh29k795KSqsbueuOS0G1gynwdzhwOkGLdrNl3R6uuvUxpowfwIN3XIbT7aS1pZ2SvaXkZKaTnp/B1m1NnXMuu8v5i1/80nHllVegaRqaphEKhXA4HNz7q/s7lr77hOvCuT93/KntUjaf74AscPzAwgrqyJI/w9J+iMA0FGEVchHEqeZTzSoKOQ1FiDSGkk4S63ibOrYhMZnJnbiweRaRRdyJvcKVsIDnOQsNBzN5kP0s4ru8SBfwMt+lg1p6M4kx/ACBoJ0qQvhJpADCHTjX8g+28zyT+AUFnIQvYSvtg/6Ap2o6sXsvRupB+NINqI5+txtxWiPmoIES6jQHW7Te7LAkSmloSCQaCWIvvcQ/qJcLCRJiFg8xkFl0YaFhHBcyrEJh9DhqZAlYzD8oZxkDuYRcJhJLNCbYFQDuZjoKXsC77yIMf+Jx2v1/ErFA9osvAXD++ed/8QgA2P0Bho6eyvtvPsNZl9yIUvJLsdUVdoWAVHYIeFKx/UJxVLEJpewKO7vnt4YC6qoqqa8to7y0hPyiAcw6+xrA1gTXNA00A6kOH6sIu18iXHsshD2ekGl5rrrsUt8tP1gbHPjKdvecC07G6qjHaUg04WDMyGJa2308+vhbjBpcwA+unUNsXDSaEHS0drJu8166AiH11FtbrNTeI7W1Kz8U+/eeT9/+Q7sXim9xZEQqSJQKS8kq22rVVdWQ1msUQig2rV5Iv0GjiU9MCc/B43c9I/npfC/cfzHIZ+CFV0EWYfeNaAMtHVQ00AmEQOjhn7s4tEKHndaIGJYa4UBEg4x+EG8pePzPEuT3jOA6ejMNL/GYmOSLaSgFNanPEbvnGixpm26BRj/mhA1wiEPLpUJg0EGIQVzCfzmdEBZNhsZOXRA0bdvc6zAhos9GA7BEh5Cwn9tOBS1RQC9sy+PDJu0OtK+BOAk40x5N8mI4pRJyzgYtaPM99PB1PZ7aLEopurq62LVju3awrFxceMYEnnrkRuoaWnnhrRXMnDgIy9AJ1jtw6OCOMUDXMVs7GDy0gKWv/AqHoeOMcmN1+ojPSKFr8y5a2zpUuq4Jh8NjFffpYxYXFxu6bggZ7oMcfrZlVkqUyO3dT1x7UgvNHx6gZGMBXfE6arZAez6EOulGVBmwByCEjgMvTtyksI8FrOIxTHxkMpKzeYL/cho3sYcS5lFPBTGkouHEgW14gtjXtReTKGIOPurYyH84m3+xmrfRcXMyvyOFaO4mm2Fch5MoylhOO5WM51ZAwwlM4npGcr1NuYrfjyupEe/B6wmJLpSzC4LeL3VP7FtudyX8fKthG+xadnCQpQTpoIr1DJXncAq5hHSTEsuJDPMSorRCRouHWCPP5yCbSWFAWOxdD6etRHdlyrGAROFC0EoDQToQCDqow4WLIB34aKGC1WQykgBuLCHRlZP2XvNxVc44ocYfoJkg2T3+/aVjNw6Hk+S0TOprK0hOzfpcXYAjQXC4mI0lw7u9oyACKaWQUuI0dECjs6ONmspSSvduJzo2gTnnXGEf0zTRdB2Xy9XNBj6aYRqGgWmaDB48xNWv/2BzxZot1sw543SXLhAOg9rKesqrGxk5OJ933nqQ1Ys30tkVIDEtgUBbF9n9e3Pu7HEsWrFV3njzD/RzzzlHNNaWs3XzarJz8oiOiftC1+r/V4iwtdQ1QXNjLSU71tKn/wiycgvZsnYJ61a8z+CRk0hNzwH4cimpo4Su2YYv1wsPXg55r0L5O6C1wHtjoUYB2wEXGG4QHSD82Lt/m4+D5rF/ynBpLCGgCERfSeeCTuS2S9HkCt7jp8zkHvpyJgbRWITACOLwZyCUTk9FMxMrXAp4eBrEiULDwSqeJ0QNu3kZn7iQDX47+LBXs3soZVu2/e4Z4ofDn0EFOAS4Nbs/R+SXIhH4LojddjpbSeyqnZtAeYAWUNsgdRc89XPwt8Cij+zonbS+8JLxhaBpthZEnz59GDRksCop2aUy0xK1ptZObn/wWTZsO8AlZ05E7/Dh1CW6x0n5gWoaWzoY0q83SIXXEy7F9QcRuo4KmiQlxBIIBIVpwa4ta2L37NpltrZ1KCEQmqYhpUTXNQJ+X8eLL7/mufmyMYaMK2T2yFKe2p3GjvY4zJM1nE9LZHMIJUuAA8BpWOyihiATmcD1rGcJ97CTN6ljGy9wIU6iaGQPmYykgV1Ek0YQHxt5kUJOJUQHu3mLQk5lJg9SxjJK+YgPuQsdFxZBdvASo7iBJPqgh1ukFTEbFdYI7KCOWraQzjA8xONL2UhL4ofUlLtxduXRlb6AgvQ64ssu+MLEP5uuHSRIB1EkhmvzP20S2LLY7TSyhj+zi9dJIo+R3MQwzqNFmkwXDoQuqZQCJxAnLAwscpnGDt7jXW7lLP5KDMnUsp82ykljMF4SsMKxqy8TEbAlliQudJopZz+LCeJDhcmVETnmaNIoZSmdNBAjkkAZ+FPXoXel4ejM4jgH/j8B7WMm/0s7AE6XhyGjpvLBvGc5+5IbUfLLRQF6QteOTvc7ssjruk4g4KemspT62nI62lsZPXEWMXGJSMsEoaEbh07xi45PCDBNU5t79RXq9p/8yFz1/ip9+tknIdu6KDlQzS2//BcnjRnAXbecx5gJg8AXAH8QQ9cgEGLYwHwS46O1Z555lpNnTCcpLQe3exu7tq5h6OiTMIxvcO/ebwxsx9Lv62Lz2o9IScsmK7cQMxRk8KjJHNi7nfUr32fIiMlk5hYihDiu0YBISiLXA/ddeuj9f78LL++A4ABYEwutY0B4j/7x1t8XOGUMfo9EbXSjB/28JG7mNjWRRBGDUga+zAW4GkZ8omWrCGucHf4eHESgoRjMvewRlbyvniTXzCTEREIeQY3PFsAbo0Gyoru3eISjY6pD8QQJVCmbdyOw6/ol2Hr3JUC5XS7L2SASIPd+GKuBnmDv9vNy7Z91HeA4QYGvnjyApqZWUdgrTV161kQyctI48+TRFOdn4vMH6GzvIirKg3I42L63kpffWkG/ohzmzBxJn97p3ccRSkEgQN/+BaxevYW6PQc568zJvDJ/hf7YHx8VAwYU07tXb0zTVJrmEDXVB/1bt+9xwFiH5tRwGSaBKr07dSP7SrR6JzKvAlVxA/hvoZMENrITHzqT+D7ncS+PsAYfzTiJYSr3ks8k2qmnkjVYBAnQwVb+SzqD8dPMJv5NGoPIZxpp5DORK7p1KDbxJNt5mf8yB4GOEy8ScBEdNs4hlor7aVNVRJHMyZlXEIzZibl7Gsu4hi5Rg1bjJik7H3fGUjzVk3pUBnzuHUHHViPcwzzG8R2szzDAdutcQSsHaWAnZ/IEEzmFBqA1rK6XbSlm64JaXWEpiBWKdMtJIldTx15W8QgZDON8bmchz7OWv3IhrxLDCGTYHH6Z/ocOBDo6Jl2s59/0ZhJpDMYkRAJpOLGjMSaQwwSiSEEpgeWtIpS0Cc++89BCUSd09w+gPhb7+ErsDZfLTUpaFvU15SSnZR/X3RccquvVNI3aujp279hKXm4au7dtpM+AEYwcNxPAzgnrX52YousGgUCAESNGuAr7DZUvvbfenHjaJN0llJg4pj8//s6ZpCTFkRAfhdXedUh/zeVg345SPly2BV/AEps2buDpZ55h/PgJjJ18Kkvff5WD+3aSVzSwu1TpW3wSkfkUDPhZt3IBUTHxDBw2AcsyMRxOLMsir3AAcfGJrFvxPs1N9fQu7E9UdBxSyuOWYulWubQi44SrTrFffhP++RL87gkoG4G9tc4Gkf4Zj7mpkDMFgZotuDoGEqocgVnxRzLUL2kT2SRjM4pDcftx1kyyS64+AxFm/ntAOwJFF171BJKfsEX+FalNgESBqoVKEz4krNonbK1+wu13fdahMUecgEZpl+KqBCAVGAHUgfq7fY4AYivM9MA/b/3k2KJcJ27PE5kDb731lvX22/PolZ2ml1bUM2LacC644CSCLZ0sWLqZdxZtYsakwcQ7HZxy9iT65mdy12+fIy7GQ5+8dNuplPYGQkqJERuNZUk6fAGkUDz9/ANi6PBL5IL3F3H9tVdrmiYArJQo6dKwdF1oIA0KMxq5TCvnwcV98J+pY17vwHVzJ1Z0HCLhblTNXJSah1JlrOJexvM9QoCOk1bKSKEfA7kIL7GUsZpECogiCg9RzOU9LOz73p+NBLFzzX4kvjArZC/v8TpzSaaYXMZjEBU2ByqcAlJYhNij3ucUxy/ZEv8AyjObmN1XkwjcJbZQp7poYj9JVfn4+zxPMJCAs2ngUTkBEVPXQQ37WMAgLsNFTHjX/Mm/jTgGbVTipxWBoI6AnegSLlo0RVCBQ0HfkJ22iPTl6KIBN9HEYkcG3ejo3WbbwIFGJ5100I6XlC/UIVAA1ewEOjnABpIoJptROMPXM4hFIHy2AkEivVFCIrUAXb3exl05Ez0Yf8KNP3wyAvCVVkiny83gkVNYuvD18M7r+D3aEZ6Bpmk0N9Ty3ryXuei8M5g//21OPuNyehf0R1pmNwv3WMEwDEKhEJdccKa2oaTLeux3LwSDmq4wdC66dg7xcVHsL6tFd9tkGCkVmsvJ9h0HWbZ+N1npieq0005Xt99xp7r88stYtGgRY6ecRtn+nbQ01YeN/4kNA/1PIGz8Q6Egm9ctQdd0Rk04GcsKoYedO13XkZZFYnIG02dfTGN9NRtWLqShrqrb+B+vORnpLeA0bDGhkAWB8O745ovhweFw4Wa4ci30XgFqDcgqkM0gG0A29njVh1CdwEvXEVr1GMq7EGJn06QPYpGQlAKWpwGjPQ/Ro/OfOsKrJxKARhRNThcVsaW0OP6BLLoSPUdDc4CWDKIIWgZBQ66dwigNQKmEcsvO+ddrdt+eOgENOaBGYef8h4KYaPMctIww/yEEKmh3TvSm29ejI2D/DIS6b+sJQ8SxPu+cs3yzZk7uOFhRywtvrWD/tv0QNuZxMV4+XLGVB/70KqXldRzYuJe0lHieefUhrr3yFGRYxrRb+18ICAbJyUrDHwwSaG6jucNnFRb1kTk5OQJA1w2xb39p5xNPPuEZ0i/dmZuZDFYQX7OTu6/dzLUlB/EsD0GKwByvo14bi2p9AhxDgEtp5R4Eij18QBnbKGQmHpLZy3u8xw8JAS0cYD/vs4N3u7mlIUx8hGjDT5AQdr9BAx0XOg4GMIdTeIS5rORqnuMyHo9cqfB/GjpeChJ6czD+Wc5zPIlr3xwQJgFMGlQAJ14yGYhDeokquRx/5lJCMQcO6QDYd/kTO02wndgAIfbzAbVsoZWDeMMGUH1s9kaIdWXsYBP/ppBTSGcoEidOnHRoimUOyau64h2HpMRp0SVs+qKFIookvKQgEDRTygc8z0GW0UkN6/kHdZSxkkdZxR/QMMMFe589OW1HRdFOHdt5ge3MR0eQxzRcRBHCQqIQ6GFxJTu9YokQKA1fxlIcLX3RO9M+97tOFL7yNtnt9pCZnU91+T4ycgqOeRSgO/wmNLo62qgs30djbSX9inrzq9/8gZqaBqRlYVomTqfrmH1vBJqmoes6kyafxK9++TPnww8/HGy8+ynrkrMnGH2HFbJk1XZGDSkkv38eyhfAMDTo8HHG2RM5Y+5sKtbuFj978D+ys60dKQnMveZq59zrvqvNmjaWvbs2MGzMdBwOJ19UT+H/OhSgpGTvzo10dbYx5eTzsCwTTfuYB6vrds7VcDB55jns2LiSTWsW02/waLJOQEoggp5clpAFF0+wXwBvrIMXl8LGdOj0ghbJ/4dPVJgavjSoPZiKbPopWkNfVPF9WNWTaKw3WKRgSs575FZPDocNw+fO4TNG0V2R3a2qLQD66gjzX6gd7WiD4tD7g2U3v0NVYceGy0HFgewA7cCh5ckVD+YAUF6wHKDysSnOrnAZow5qMLAcnBIcfkhqguG9bU1/Qz/UBuNEQ9d1JYHMVK8Y1CfDeO99+GDZFrV7T7nA62Hrym3ERHk479QxvL14EyW7yrCk5N8vLWLMmP5MGlpITEIMKhjqXtOEECh/iLziPBa+v5Kc9AR2rT7YKR1Jrsz0FANQSimxcMGb2vfveET8+5EbGTC0EDq78ESb0Knxh5tXsfG1dJb/bQFWxwFE/hxUzTqEVAgxHFQXim3ME3PJUKMZx83kMY0a1lPJWrbxIiY+atjKVl4ghiycuMikT7jgzU4t2toMh3bXISRTuRU/0EQgTI1zAQqhBJbRRTBpC7Pjb8JdPhN/lwHCBGXgABQGAXzoGHbayXIQtecSugpeRCs9A92XhhQKTQlcCPxEiKr2tbPD/3WUsRyFYin3E839eMjp7lLYMx0ggDYOEksW0/g1BoJQuK1uAEWpqVFjClwCdIeFw5D0MjUsJXHgYQw3EaCVFTzCXt4lgd64iGMD/6aRA/ioYzQ34caFDwvxOVEAhYUXB7tYRSZjGMip3RoYobCOwicgJLpyEIjdh3TX4y6bjWa5v5bd/5HwlR0Ap8vN4BGTbF2Ay24+Zg7AIcMvsCyLsgO7aKqroqW5gaGjTyIpJYNRk3qM4zjUEUXGYJomjY2NzJp1iti8aZPx09vvEG99uJbvX3kKt37nDPC6US0daLpmr5yawGrvItTURlZaPE/9+y4tM+sfLFyxXyUn91Ib1q/h5u/fwt6tS9mxeRUDh43v3tV+i0PXvbx0D3U15Ywaf3K41O/IDX40TesmhfYfNo6E1HS2b1hOa0sDvQv6442KDYeDIxnt4wtHuP+FFS5bPXOk/dpwABpaw0p0h5W3arR1wc+n/JTtrWOQoXpY8xKKJ+iM/QNWaw5leicyEHvYPqU7Zx9GAMJ7EIWGRgiJEjroS2HbA6jJM9FGFRO8Frvp0TYw6kBbAaSBVgDBvWDFAmWgSfBNwy7a3xb+kjTgRnB2QsFWSHWDsxLiF8LI/uD2Qk4hzBlhf/woWjIcF4TnkPD7gl1rP1qoNm7cGh0b4+WXt5wnTr3kdH7z09/zr5cX89Jff8Sg0X2ZNmc8hEyCLR1s3lXGv555jwSvi9Fj+vPxWaOwy5Ycuq78voDAnYzT5e0W8xJCUF5W7k6M82p9C7JRToNgKJpdVfE01ps4rBaE34u46WYUBxBZp4Klo8xKNH0kSnpB+dAU+DUHr8rLGcLldNGAn1YW8XOS6MNVvMXLXM8S7sNDItmMxYEbB1EoJH2YjRsdf9gJsHsBBNEwMMKGH2wDHYopJRi/F+lsxLn7QnwoNGGBsqWlW6lhM/8hhYEMYTa+8EzUgnG4K06mK/sDog6ejh6MJUAXVeymN8PC5aiHKmAdeCjiNDIZTjmreJ7LGcY1DOQcnMSGr7Ag0sOiiFPpy6lYSMzwvFbYmbVkYbecDijYHdJxOiReXZFuagSQOBGM58cUcDKJFKAwWcSvqWQ1+3mPfpzNQC4jGP7Oz4IADBx00k4z+3GTQBe+sJKi/ik8hrBj5a0lkP0hnv1noXVr/X/9xh+OgQMAoDsc5OQVU7p3O70LB3zFHZdCSYUIh3Ary/bSWF9NXU0F+UUDGTE+nOe3rO5SKIfj+JDphBCUlZXxm9/8hlmzZnHGGWdQVV2jeT0e0dHlp7Gti9q6FpKTYz+Rb9Y1Dd3tspOqLe088Mcf8uMbHjYCjhzx8G9/i8PpYPi4k1k4779Ule0L91b44kTF/3MIG/+m+mr27tpI34Gj8EbbBvyz5lSEFGpZJhlZeSQlZ7J2+bu0NtaT12cg6Vl54cMf/2gA2DvfyMNlSnsHPDzv0z5tj8dyT+RnJRPZMwh4bgnWn34B1r04E6+nqqUfG6XLLp0SgK7QTNWdw1MQ3kHp9u5cgFI6QsxH7TkPlXIW4o3HCcXHIgDXfJi6Bd4ZD9xlH8Pxmh0V0LJBxoCMw64VXAwkAz8G+gBtkP4U/HU2FGZC/Fg7t98T6mvc4ITr/9XKFSvEs88+K9auXcWatTvUbdedzvXXzhGNVeWUlNWy92Ata7fsZdDIYpsAYRg4E2L46b3X0LW/ivKqBqxOH063C2XJw9IAImBSlJ8pWjtMc+GS9a5169Y6WltbAEQoFDKrKivFrMmDRGZGEkIonnv/APdtH0lt0Wj8bTraIIX41TWoXQbytYcg2AyaE2nNxxaPGICkhCBBYujFZp4mnaG0U23n6ZlHM3Xs4jUKmEkmI7tFfxLII0AH9WynNydRwFiCRCJD4bp9IRHKNqaB5I2E4vaid2YRVT4DJSw7n69scmknzbzNTezgFYZwBUn0Ion+GAgkYLTn4PD0oStnAXH7zqNarOcldQGn8Ec8xJPJSJzEoxBEkcgUbsAAmmjlVa5mCb8mhX7kMY7Qx3biCkWw24Gxb4AFxEgYqyssh6IkpBFUsNMU9NPsbvMCDROFjoNcRnWrv5zGwyznj9SxDQsTH2W4yf+cGaWwkDRRwh7eoZ1yYslCEsSJB6s75dGT0KhA2KG+zuyFOKsnoPuPrrXy8cTHUy3HxAFwuTwMGDqOd159MuwAfLnynsjiLDRBS2MdleX7aagtJzY+iRmnXQwcKuuLvI4HIuSh1tZWbrrpJtauXcu0adOpqKjgumuvFUuWLkcP1TJ2eB8Sk2LRHQ5UoEdtFDYXIBgMsmv7AWKivCS0tPPb399hnXzKzWLpipXa1CmTkNJi8KgpbFm7hLjEZGLjko7L+fxPQQh8nR1sWb+U7NxCMnMKkJZ11Pda1w2UtHC6XEyYdiY7Nq9i64bldHW2k5vfD8NwnBDhoJ4wwlba6tEdsCcEdtrgvKEWzoDFTxcIdn1/Mprvb1i/H0LhwBi27XyETlNBgbJbD3ZoNhGhBWjDLieMBjLL4cA6CO0HTy6aeTci8Ub42++Q8WAvAQLvanjlXvjxo/D3WjAnQuhsEGeD4zHQkyAUwlaZGQ78vMfYoyBWwpQhdBPPTOtQykGII8sqnyiEeR9ix67dvPLS857WtnYmjurL968+BUe0m9bN+8jKTGHiyGJ+87fX2V9aQ5/+vXAoyMtOoaBXGinJ8RT37WVLQEp52HomNIHp85MxuJAtr6wJPfn0y45+/QdqHo9XSaXEsmVLA8tXrXUWZkfrZsiCWBevzCthb2Yn4tr+CBFri8HMvAtuA7oeA70F0NG0HKT8G5ALzCegnmIIs9jNG+QwgQZ2AZIEenOAxbhJYCTfJY1BDORC4ojCgc1An8dPWM0fsQjSi0lE9CFAIJSG6akhFL8PM/og3oOnoQfjwsb/0LMhAB9N7OAVPCRRxza28RoePkIgcBHFcC5H1Q/H8tTRmbUUKt0YONnHQoK00sQ+RnE9MpxF78REYhFFHOfwDOv4O/H0CicMPj5xBNrHkl0KuwNgTggmOBQYkoOWIEVXuBTdnxXh8w2Gaw2C4S6BBcyijm2M5LtkU0hzWH/hiHMJCwc6ZWxkOy8RTSoFTKMX0/DgJRT+JmfYGepWsxYSTRl0ZXxkl/y190Z8wvyeeBgfcz6OWdzZcDgo6DuULRuWMXj4xG4VrggiYd0jpQh65vmDAT+l+7bTUFOJZZmMn3o6DqcbyzIRHyvrO97w+XwUFORT3Levqqoss+782ZvixhtvMqdOm64WzHvOde1P/iJ+dN3pXH3NqTjCZUKaEFiWRI/z4taj+dl3HqaltY2xw4tIT13o8nijzNTUVCmE0JRSpKRlkZqZy+Y1HzHupNMxjlM045uObsZ/0M/a5e8Rl5BMnwEjsUzzC99zoenhlIBF/yFjSc/OY9OaRTQ11tE7vx/JaVmHfeeJwmcZRV0Df0jnjDF26OCHT/nYd3Yx4t25NPk3II2lCO8kmAXoAi0DxMH9qM2gKhVarBer4yPwrINpdWhaG9Z+kNFXQNbtkGzBKtFdg5fsATfwp1sh8WX42ztQ39eOHAQvAMqw1Q3jgdHAkshAgS5Qlh3ZsKRNBNT1Y7iYfEVE1p1zzzk34G+rMR/63e+9brdLuNwutKBJfp9cfnn/AAK1Tdz3yAt8sGwru0trWLFmJxkZiZw2bQRnzxrN4BF9INxKuCeUVEiHzsGDTfLBx552jRs3Tjz029/icDjFf556iice/6errq5WmzIyD4fbDZ0tDJl2Je9mJmL5nQhdIZwC9fMuaPDD+Ith3b8g2IQwHkSo2aBAMZBsx0xOCQ2lSq1kLX8hjgzG8yN0otjN68STSx6TCWtO0YnZvRs9l4d4jbt4g+u4kW0YQu9m6geStmDGHAQliCm5xA7oC3mY8Y8gihTymYmbBOrYQhsVeHBSzV4O8AFjuIKg0vCUzSJY9AbeFCf59Wdzqfg91aqWgywL5+3tagQNBxoOAkh0XEzi1u4UwZFD6Z98z24xLcgKwWQd6oUiCkhUHxcYEt25eZuECKn0J4+pNFNCGyMw0D91Z65QOIEKVuEginH8EC8RrS8V5lEI6tiHk2iiSUOFW/z64/ZhxpTjPTgHYXq+EaH/VmoO+/cxe2adTjeDho1nyfuvEQoFw8S2Q/g84w9woGQbbS2NNDfVUdhvKNm5RShll/WdyBx5JKecnp7Oo4/+np//4hfq8X8+bg7tm6G/8p9HQtHxWdx4zbmuZ16Yx4/ue4qBfXKYOGMEosOHaVkYMV7mv7mC1k4/e0urwRHjD7p6aesPdGhXzb1JFRcVCADDcGCZJoOGT2D5h2+wdf1ShoyeEt6dfjNIIicCkTlgmSE2rVmMw+lm2JhpX8r4R2CnBAwsyyIxKY1pp17EhlUL2b5pJbl5felV2A9N0+1ogNCOryLNUcLtsBsPnTEC/F0G31vRgDF+AFULnfiNP6JS9kLjbIivBv87mNu2QmUVNNYjzXgIZUHeGfDvy/DsgJnN4IwCaQYRyxwUJAkiPNm8kwFlK2neex5kfwTbd9k7x7o9sDURzGIo7IKkZRDbaTfYjBANCybbkQ1NhNX8vkGQUipd10Vzc4N89c13rLLKOjFsYG+laZqob2xD+YOkKokrKY7xI/qSkZrI9+68gp1rtjH3e4/y75cWMWVMfzS3E7PTd/ieVEDQF8LVpxd/uv63cl+NFDd9f5qWFB+DFE4WfbiQNevWa9PG9ReP3HU5UWmpEKjDF4xFFfRGeUCGJKpNImq9qGQvDPkdlHyEqI/FMocAryBIBSYhVTvbeY52qhAI4hhOHKNx08UuXqWLJjbyHwqZgZcMwA7zKxRN+MhmNDt41R660gh56jHjSgjFHMBdOxFnWy9kd8j/kx6qwi6pq2MbWYymlXI6qOYMfkMFu9nHe9RRSwwpoHS8+86hvs896J0thLogSiQzXJ2LDz5BsrPD+vYO/eO7/KOBAlCCHBPyEEiLbpW/I2fkI0F6QRctbONZosmiL1PxfWrDINuhSGUQjeymg2oEKRDmVEhCRONgM08TTTrDxTUYykkoqpJA5kd4SudgBOLR4Li14z56KLbzEqNJ737nmFrVkGky5eRzUUrS2tpKXNwhtbu6ujpSU1O7w+uRCIEQgtqqg1RXHKClqY70rDxOmnU+QDj0qyHEiW+UEyEfWpbFHbf/VNu3v8zwUElHS3X0a2++TUJ8nApKQ542Y5woKswWwuOkvbaJmOQ4dm3Zz0vzVvLUy4sVoF5+6Q+Bc88738MRrrduGEjLZMK0M1k477+U7ttBXuFAeyp+wxbW44JwslhaFju3rsHX1XGI8X8Moj26rnfrRwwfO53aylJ2bFlDc1Mt2b379FAQPDHcgM9DxAm4YJJOS2cKz7VprLru96g350HpCzCvBm3sMqznq7n2yqvUm+4yUedogIROhONFuAtEusT9sMXz9+o43SYoJ8w58vc5DdsJuH4KMMV+Lyhh1Q7wBWHYCEhN+PTxftOMP4CwdxShJ578t2iuLol97Lc3MH5AL1Fe3cCq1Ts449Qx7CqpoLqyno9WbWf5ut00Nbdz1Q1nctX5J3HPoy/S2RUAy/rEjtSyJFqMmwMlFfLN95dpv7znMS0zzU152QFik7KZOXMm7y9aqqaOGyCEy0mwrQtnkqCm1YGlS0BDOTS0NRqibiXSk4naEA+dTSh6gXga1G9Q5AB/piz0XcqowiWSQUliGcIWltFbO5lR8jqW8zAHWEwpH3EG/yAWg/YwQc+DhwwxkpAKoFAEkjcTiqoEESKmxFaxkh8L+R8JbuLJYTwWAXoxkXxm8Cq3Us5STAJYtAB2fltaGmkltzAw+3E6G8rQOnLpEkE09Wk9A8SR2fNHe6+xIx/BHv/+tCkpuoPwihl8nw4q2MiT5DAcg2iOtOnS0AkgKWYKy9lBE3tJJgNfd4WDTgDozUkoJAoLZXThz1qEu2YcDl8qIfy0U0M06Thwf21OgEDQRiUcawdAKcX69evZsWMHV1xxBfv2H2TF8uWkpaUxffp0Nm7ciM/no729nd27d+PxeJg4aRLzXn+d4UOKObh/Dw6Hg5NOsVuG2Xl+7bjl+I8WEePh9UZx98/vEH/92xNWQ0O9NeuMgaqpuUnbvX2T6leYxbpt5bQu26ZKy2vE+aeNEz976L9kpCXyg2vniHVbS62lSz6KjU9MVCNHjFRer1cYhnFYJERodj37qEmzWL3kbeLik0hKyfwaz/zEQWFvvg8e2EVtdRkTpp1lO37aJ9XtviwOVZOYpGX1Ji2rN+tXfkDJjg20tTSRm1+M0+lGqXAQ8muOBrgdikBIcP0pbTgOprAtuh7/GXPQHHNg7ysYkzNRY6bxz/tyxElb4UcHoGYWtnJPvE31EokOQkqh47SbZ4XD9REIcah00anbHAQZXpmcBkweeOizVg/Rowg0cXjp49eNiN6D3+/H7XazZctmc+WyD6xf334Vs8+arB599CWxa281p589hQ6fyUcrd5JfmMEV557EmTNHMe/D9WxatJHrbzgbnz9Ip88PVqRy5BDMkIUrOZ57bvi1jE/vK045eSrBznpaW1vIL4ylf//+mKYSg4qz8KQl4Ktpw6lAcwjQwlJhiz5Ae6IR652foEbNAv3nYLmAnaBKsOs7yoEnEDQj0HGJPEyVwTbuA0ZQJS7hPG0Y+XIjOUxiHt/lQ+4ijcEM52IUgs28zkG1lmx3Eb6ERehRLTjqR+JqLUCKcD3J5xh/BUSRyHW8jAAqqKaE+RRzGjGkkUwxGRTTiYUWDqU7zURymi+hI+tDokvPQA/EoYSy80vHAV+ktkcgsDBRKDIYRTmP0UApRQyhDRPxCZOowlGK9nD1hOcwAy7CbZX7cBIIWz2zI2MBRkcv9LY8DBQHWEklaxnKlbhwh4W7T/waE8SHm7jD3jsmDkAwGGTBggXU1NRwxRVX8OorrzBkyBDWrVtHfn4+dXV1aJpGeXk5CxcuRNd18vLzeefteRTkJNB/6DgSk1JR0laGPpF5/s+DYRgopSguLtZ//+hD3U+LZZo8+vs/8LOf/5Kg/zmiYpNMTQX0dxdvEHtLa7Esi8vPm0p+doLxh8f+rFav22C+/NJLjri4uE+I0wghUEIQG5dEQZ8hbFqzmIkzzsbl8pzw8z2RiIT+G+qq2LdnC4NHTMLt9oQZ/8f+AdF1A6UkSsGIcTNoqq9h26YVNNVXk5lbQHavIoDjqiJ4NJBS4jI0Fi5YzPnnD8ZalsydOSb1uQJmnGv3YPkQ9leaXDpIEqpW/PxPUDHeCUqgdGiqAzRh79AVCO2zOQg9jXlEBhgOhfhd35xH8lMhhKC9vR2/3xd44cWXZUdDWfTkMQPVz+74p7j/r6/x2l/mMufcmbz7r39hqDYwcoiO9tBvwkDGTh4MgRDBxlZu+fFFtrfU3IHo4QCYIRNXrzQ2vr9RvfHBKu2v/3xay8hIJxRMpHzJ2xw8UMLwESMpKipUjS1tQggNLaIfgLI9KRTc8wvMJavsg9auh/gUEE5sySUHNvEiF+iHIoQQH2ASROFA4ywUA2ixcnjNUKSTSqt8nkncQQ1b2MwztIlKRqvv8D4/Ynrq1aQZ16A7Q0TtvRDoues/umdMomgiiADiyGAC16KAMZyLCXRioaN357gVClozcDkG4ctaiPfAWXwxM318oWHgR9GbMZSykB28iEUXseQRT/phBtqWI9appR4XCUSTFSb6Ha5X4A9HOYIpG1CODpy1Y8Fyhysv3GQzDhdxx70p8WehjOXkMA57ntn4yo+1z+fjySef7DZqpaWl1NTU8OMf/xgpJeXl5UyfPp1NmzYxaNAgtm3dSlGfPjz5xBOMGD2WgSOm2Hn+MNP7mzFFDkfPdEDEMDkcDn70ox+SmBgf+vldP1cet8Ooa/CJmvoW0pLiSUiIVv0KM8RuR1TX9ddfp02dOs3dMyXycWiahrRM8osH09rSyNpl7zJh6pnd5ZD/92Abf19nB1vWfUSvgv6kpGUfd4a+EBpCgGWZJKakM3nmOWxZt5R9uzfT3GSTBGPiEu0Rfm1pAQFC0NlUSZc1kWvPEOgLDLbuU2i6iWEomgbopCQYhCy46mRwxsH2fbah13Qwx4PDwZdKJQlhV8X9L0Ephd/vV9ExsfLA3h3+5Us+0EYO609ZVQPzFq3FcMey6MBQOv5bx/6y/qxYu5n37vwZt86dyYMP3UqwvgVNCLxx0QRqWxBK4XQ5uhWMpFTgcrJs0QZ+/fDLssOnSEpMQCmFw+kkFApgmgEALrrgHJ5/42nGDCmiqG8foIuQ1MIOgAZDboaVO2DkXNB1xIHFqNAw7H7S/bCZnonA90E8iBDx+HkZJaJR6jKgCMEGms0CQppiqriWk9QEDKAKP++rn/KB88doRgex0Q4S6yZjdKTbjXfE5+/6PwkR1g2wdSY6uwWEJRKTRnbjIo5E8rvJdBoazqbBWO4GfFmL8FbMQGkWyK8/bCQQmFikk0shs/mQu9BwMpbvhcP4n6QidlCBm1i8RIUdhJ4HlBjKSSCuhEDSFqJKz0ALxqJs940CxgF2quLrIgJqQAUrGM+PgXnd739lB0BKiZSS7OxsFi1ahJSS3r1789prr7Fr1y4uu+wyXC4XY8aMoby8HEta9Ovfn//+9780NzcjpYVpHh8Vv2MJXde72cWWZbF8+XK5d+9eVV1Rao0bOUDlpkc51m7aLcaPKCYrI4nX310r9u4v4+TTLgzOnHPlYVv5T9vdarqBZZoMGzOVZR+8zpZ1Sxk8evKnMGP/l2EvEqFQkLUrFpCSlk1h8ZCvRPr7orCjAQolJYNHTqKjvYVNaz9ix+ZVJCSnU1A8pDsFBCdOn6G7gU1dFenZ+cRGOwlZcPXJEJEj+ThCFlwyBhhzQob4jYIMa4GUl5fz+BNPCMNwWLrZ4Vq7epV7YMFs1m87KOqqK0ktuph/pl/HH/fvhDqTlEkzSfMnkZvdiL9iPw/8cwk1tbVcePpETjnVvpCy09cdCZJSYkR5WbNkh1y4ZAPnX3CeVlRU1H2/CvsOpbmxhq6ONm6+6UZ9z96DoUf+9aH4xa1JRnpfJ35lpwAEFspxCYRuRAy5Dpb/HiofQuBA0Y59j7cDlSDOBZWKpW4BmoC5YLSAXIRSy4E3MOVYoo0xrDbfsnvOe52cE3sLz/nmkh+cibZ/Dhrph3b9XzEMHxEUgkj+XVLHDgxcpJAfZsbbwrpC6niqptKZ9zr+tFV4asceFefgREAg8CFJYwCZjCCHMaSQSgsmeo9nzJYkhkrWkEgBHmIJ9nQRwnoKZlQl/oxleMpPRu/R4lcAgW5xrq/vvGU4RePg8KjyV15to6KiuPnmmwFISkoiPz+f2bNnM2/ePPr06UNOTg5+XxdOl5v4+HiGDB1GclJSd329pulo2tddHXl0ME0TwzBYvHiRNXfutbKpvlIMH1jgnjNjBFdfOJ0N20p5fcFaWto6mT5piHx14Z5gzuBQ/GS/H03X+Xju/0jQDJu5PnHGWSx67yX2795KQfHgE3SGxx891RXXr/gArzeaQSMmdV/bEwkhBEK3KwGiY+KZOO1MSvftoOzALtpbm0hJzyY3ry9gV6LY0YPj6wgoJdE0nQ2rPmTwqMm4PdHA4Tl6BCDBGd7hOz6WwxfC3rj+L4TtvyqklBiGQWtrC4888ghdnZ2OxIRE5fDGq/mLNonX3t9CdlYi2WNn8fZpLhzeFijxUT+tiNhR91NeWkpD+yJinZ08+NIyYqK9pCTFEBcXTWGfHFRXAKHZ84TOLm772fXmX5+Zp0+fMUvk5eURCtkywTl5xezduYn4pCoy3V4e+/1DDBk2xlq9cY921tDRmlLSjuwvDILhgdS+aG8/g6x9GSUeBbUGe/f/RxCpQB04dsHwXuFV+i2INWDl1aA2K1o2CrgPncnsMDdiGOsoE+8iPDWMcZ/PKY1P4Anl4xJ2udrxMLp2dsnW6Iun+GPh7YgTYOAtnUNn0XMI04u7cfA3xAnQkAhiyKQ/5xJFBn5UuBrhEAQ2ez+XyZSzjHoOkkwvTCSIsNKAo5OujKW46kZjdGZ9ojGS+JT6ghOJAJ10UIfZTZe0cUyWiFAohGEYzJkzB8uyKCgo4JZbbgHs0JnLbXsdMTExnDTFphqPGjWKUaNG2YP4BuX8jwZd/pDv5qtPd7Y0VjueeX0ZbrebpIxkvPuqeXPBWlxOJ2OGFZgv/fdxM7/PIEsppR+t4RCE0wHSYuykU1m28HWiY+NJy8g94XXrxxzKrpuVUrJj00pCwQBjp8zGsqyvdQ5oPXQDehf0p3dBfzav/YjyA7toqq8hu1dRt3ZAhJ9wvO5D5LihUBCP51Db308Q7j72728SIe9EIcLV2L17N48//jhJCYkyNdErQp312pxpg0mIjeKjlXu4YEZvlpRtJ7inE1GYgFhbiSgtp21KGo+09KJtz8n8854itu+pZ9e+at5dvAnTlFx7xSwy0xOQQdPO5Yckzz/1qpHTqw8FeXnd3x+RmXa6PZihUCRy5Ljqykt5beFH5mmn5Iv4qCiBU8L7Hti3FowKVNkbIPwI1Ua8/idaLFCUYAsvtIMWA5P8aG4dVfIRNG9FdG5Q4uxHUCvmI5vr6Oj6iIOed+jrGMb+wAaim4qIbrwIJ7YyZFApjtRp71jA3uPqpNCXNIaGy+8+ppmAQlhuvPvPobPwRXQzCqO14Au0ED4+EAgkCgMPg5iDhV1J8PFoq60oCBkMo5UDhOiwjb4AISRK6nSlL8PozMLRWmQf9RiSHSNVC+Ircig0HGQygt28xeDD3j8GMAwDFQ7F6bpOQ20lpft2EgoGCQX91FQe6G6laVkWSiksyyIUCh2Lrz9hMAwDKSWnnnqq4+SZM0RbezsjBuWTk50MMR7iY7385IZzcTk1+cGqA3pnQERLKfVImPJoYRsBgccbTb/BY9iydgmd7a3/JzoHKgEH9+2goa6C8dNOxzqC0MrXgYhuQCSlNWTUFIaPnY7f18m+3VvYsn4p7a1N3f0IpJTHvNNghHNwoGQbOfnFuD3eY3r8/2uIzJ3mpkb5wkuvhTo6O5EqgewRt2D0vQfn0F/Q56o/sCXru2yPG4xTBFH9hqBaBWruStjmxH1OiMfbM3huWRo3fGcKTqeLscP7cNr0EXS1diIMwxb+sSyIjeZv/35Dq2vxUViQpyJzwZ6/guKBI2lurKW1uRGAW3/wfbbsa+d39/1b1TV3gktBbDu8/j0w81HebMCN4mZyeI5MvROd+0HNBvUwODNh23LE8z+A16+BrnmIOx/F+s10Ic9+hLi+V5Df63687mzcwWxm+R7nYvUWmpCEuqlsx+/ZUoCBi16MOSxsfjjsNUsLxuEtOxVf+nIsT124e+DXt5bZK6w9Nh8WIeSnaAcodKCVMpzE4iUZM6xpqEkdf/pylBbA1TAMzXKGpYGOjQOgkOgInIcJfn85OPEwmitwcviackw4AJqmIXSdlqY6SvfuwOV2Yzhc6LpOMOBjf8kWomMT8EbFouv2w9Izp/6/hFAohMvlcj3w51fMV19aYFWt/7eeOGgU7z/7vNpbWmHFRMWKUaPHctnV39MGDRoYbk/8xR/CSBQgu1cR7a3NrF4yn8mzzsMwPq2e9puN7tx2fTX79mxh+Jhp9k5JfrOiGodyvhYebwxjp5xGfW0lJTs2sGv7WtyuKIr6DcPtjQp/7thFBCIOwPZNKxk/9XScLg//PwlCfRFIKSM9QKzauhp/ZmaGY9OGdVrrhNOo+dnvWC0M2AHUAB3g6AtqUJi8lpECKa2INoUpBXqeRm1dKxdfOZ5nCofR1NjMph2lpKfEURQ00XVBKCTRnQ5+csMF3PvYW+a+A6V6Tm6uHnm+pWWRnJrJxjWLSG1tJD4xGcuyuPWmudp9d1xD/bBdaM5c5IZnoLAPWupjsP4gSm3GSw19rETqnQ5q5dDwOh+AuB2w+x9YZQsQt96Eeui3WCBiNi0jVtai9fWjVt5KTaNgLo/ixe5Mp9SJmzHOsBk1P3Oe2oZW78zC0TCErqxFRB84G6RB93b6BMIebyDcJlmE99dHXqMjDkAFq2imlDym4hEafqXhT9qCFXMAT9lstFD0x0odI/0BtE9EFY4GEgsXOj58tHKQNPqGRY6sL8UlUIAPi0GcCrzU/f6XdgAiNdOapmGaIXZsXEEg6Mc0TYr6DSMqxma8e6Jjyc7tw+ol7zBjziUnXIf9WMMwDEzT5IbvXsumDavV9T/+gzV8/DA2b27AE5+jkpNjuPm2u4wRw4d+5RaommY3t+k3eDR+XyfLPni9Wyvhfwu2ke/qbGfjqoX0GTCCxOT0b/RciKQFlJSkpGWRkpZFeeluyg7sYfumlbjcHvoMGIHT5QaODUcgIoXt8UZ9QknzWxxCZNPR3NSk/va3vwX/9c+/GqUNbU7hjEaaLQT9TYhQPFpQIDsFQodQC7BQB2sVzH8XEudAlwA0LAmGw8Bf00pMTDJ+f5A//utdzpgxjPFThyFb7LA+bR2MHpxPfm4qIevjTHDbyU1MTicQ6MKyTEDjvHPO1l785wNWKZ1K/7BNyC4Dpv8GfVESsisJyXASgAHAZiHRlIXdP8+L6LwTmhahHnscddNl6AtfJTMlCdFcisw3qX61A3PfG6TxOB0EEOioHiS9jyMiVAN2SPirwKahWOziQypZyyTuRPVoPXzEv1Hgau6PdDfSlfU+UWWnoTS73fCJgwzX7rezgT8QSw6DuDD8u086MTYHQOLCi4s4SsQ7RKtckhMEpOzEfXAWeiDRNvYfS2k40Q/vD3CUUEjc6DRRwXIeRWLhwM0sHsSLTufnXOdPg4ZO18dG84WvfERVLbJTKtmxgcaGapSE3oX9ycjOsz8nJUITaEKQnp1H6b4dVJbtJTOn4BujuvZloOs6pmkycdJk49Hf/1G9Nf89q77Zwc23XmNMnDjhkE5Ady+Er+bd2nK2dmXAqo/ms3zRW0yYevpXPY0TDFvmd8Wit8jIzqNXfr8v1ODn60KEJBjhB+T0LiandzH792ylpqqUbRuX43C4KB40AqfT5rl8WUcgEknYsWUVeYUD8ETFREZxjM/qfxuRtEvIDMl//Otf/rvv/rlzUP8+RkqXoKqjHLGmAe5qhJRULIcFHh3VDHQoWKgg2GHXSbIJVZ8HWm/wQawewp0egoYW0otcPPbzC/FEJ6BCdkc3IUCaFgkZSdTVVuq7du7SZk6b0n2fbflw6DdoNJvXLCY+MZWEpHS8HidudzRBpw/nOgEdB2BtG1aNBO0Qc9OPTrKlk6P7KJVeJH9DNa2F7LtJHjqFpIUfEfjzZrwxgvKJN9F+WjLcn4dw3kFs6Exb6+Fzrp0DDU+4nW7HV7wPdgWAjx28QhBf2CFQnzEGWx9ASAfumgn4ct+mK2MpUdWTsISJOEFOgETiQqOeXWznRQZzGQ40ghxq1NMziC/QCQEjOJtm0cF+9QEV7g9oTThIYfkPcfhSsI5gkA0E1ezETQLRPZT3Pg/2KCS1lLCU3xFFOvmM5wPu5m1+SF9Oo4hpPUoKvxg+Hj34AlddIaXqzoFWlu+lqmw/KEV0bAIDh44H7Hp+oWmH1a+7XB4GD5/Isg/fICu3MLzYfYnRf0NghJn6s2bNErNmzeq+hqFQCKXUMU9v6OHywLFTTuOjBS+zfuUHjBg345gd//ghLPMrJSs/mk9ichoDh03AsswT2tvhqyLCD1BSIpUiv88g8vsMYu+uTTTUVrJtw3J03UGfgSO7iXtf3BFQCKFRtm8nk2eeg2E4+KaE/3tydY5X6+2jQY/Nh/XS28s6Hn74SVd0lDQ62ypUV0K20H9wL7JxMqq8AGYD6zTEy6BqAATEmnDJDPAH4J1fwbKhyNLeiNGKd99IQz43EEPpCCTTR6eTntqEavLZTqC0wDBobumgqblNlOwtAQ71DRFCoCwTb1QM7e0tdHW0k5yahVKKmNQs4Vi7EPPys+G9FKj1I9tNhNQAB4ZQbBMC0/QjdA+W+g/wX5KyziSmuBjvyk1EbTFoHPlLykIBWO3CPcRPwJMKbUEaeYoQFwOfHTWqYz87eJloUhjG1V+ZTdRKBQ3s4Ro+RCKPIjRtOwGa5cJbPouO/JfxmVF46oefwMoAEeYuuClgFnlMRQA6EkdYzEhxqGbf1m6UNIo2olQ8E2PPYlPsn6mv6oP0p4Z1FQ6F/e3QvcFCfs0+FnAS9xJD+lFda1tXIUgUbvZxkBZKmcNfiMdBIv14h1tZzmME6KKYORwLRthRrcL2bl5D0wTtrc3s2b4eqWwjPnLCLODQgnfEXZ1SRMXEkZvXl01rFjN09Elfu9raV0UkEiB7kB+P5+KohcvVppx8HgvnP8eurWvoO2j0N74yQEnJ5rWLEUIwfOz0/znj3xNCs5c4+54rCvsOpbDvUPbt3kx9TQU7Nq9EExqFfYceEhMKq1t+9ly3jX9bSyPJKZkY3xBNDDvyIb9Wo99zLGHjH1y9annHz37yY3d9da1bS5utmjtiBUUjcBT/CGs/UA3iWdAPKqgBM6LmFwKkBRXLwdkFKgp5Xxfifg/Pjc/huR25GAn2kjr23Tpu772b08bWgF9iSQ1dE4T8AXTdUL1yc0Xk2e++t2Gp314F/elob6GjvZ3omBiMqETN2vWEcm+4hsA1t2J9iN1RsQrY3EFTwMtCdTPC+UN81lbiY39GfPS56PJiNKE46BhL55VgvPAOjvYapKuZ0ON1qKypiOo76FDTUHx+anAD/6SWbZQwjxwmkkTRx68yMtw69+ONe3rC3u1LWiklijS7HTTyEyV0n/bXCoUwvXhLz6Qr7w10Mwpnc/EJcQI0NEJAJiPZxwLq2EkB/akSkk5doCuBU0CqpXArjX2so4W9uFQ8IWFiRi+noaOKIv+NxIhorI9FXnoyAPowhxSKj2pcMtx22I2bemrYzL9IZyhBOmklmmR6cw7PUMMq3udnJFJECsUoLJuQ+CVTOp+5Eiul7NKt8ATfvHYxQb8fJaDfoDHExCWgsPOkn5nLFQKny0NR/+EsWfAKLU31xMQm2AXL32Dj9Xk4kaVrtpG3dxvjp53Byg/fxO2NpndB/2+oE2DvXg/s3UpzYx3TZl+I/B82/j3RUxxGoCgoHkJB8RAO7N1OfXUZJTs3ohRk9yokLbNX96LwaVGBSPh/8/ql5BUOICo6ohj59d5TO/Kh88QTT9DZ2YnL5WLu3LndTbxOFCJhf03TWL9+rfW9793k3Ldzk1fzZisZN00IkYsqHUzo+0HIs8VXWWbLa0uHsFvEKSBRQYoO+ySivAwxpBzVXIh6wIV4QIcxYIZlbJatTePGldFUBHczd/R+DI+Jv8MiY0gRWemJyunySk3TDqvwsYm7ij79h/HRey8TE5eE2+Ph3DPP5v133qTmobsR5/SFnZmQ5ESINug3lvbo2egdAr3qfuLrXsKd+StE3EgqWgYRCNTAo7+EGa2YGyxMR5ytCdSWhuh3K8pxkDTzpxi4P+sKIhBUs4FUBpLADehHMBgagigMTGwWwmfeExTJ9ONUHsX8wiI34UhAMA5PxQx8WYvRAjHoXZknpDzQwiIanUZKCOInkYvYqMNi3SJoCVI1RZEIMSzkopL30UgkwzGEiqQnoT2FjPYxJIkChBJhXoUK1/oLBAYhYBY/R8e+jubnjEci8aJTzQE28gTVbCGGNPpzNi7i0BAEsHASRX+m00od6/k70/g1sXjR0emAbh2GL3L1jrga29522KgLwf7dm6mtKUcIjaycQnLy+tgDD5O4xNEQuZTC7fHSf+g41i5/j5mnX/Y/kQf+JiHSUtnjiWLomGlsXP0hLqeHjJy8b5QTEBlLfU05B0q2M2riLJuZ/A0l/H1Z9HQEAPIKB5BXOICq8n1UHtxLxcESykv3EJ+QTGG/Yd1OspThXVZ3VEAghEZLYy1RQ8f3KPf8eu9nS0sLf/3rX7nzzju737v22mu/Ft0GIQTr169Xc+de59y8ebOeWVhAlWO6oHk9Ws16oo1T0Z0G/gYNX8jmlVkm9q4/chn9BrQqtMRzYU4KMq4CQzVCcyLWDctgjoWYOQVcAmOU5GB6FD95exAVS718b+QeUpyd0OnjlMnD9LffeSV08vTJWlFRkTBNs7scUCkLTTMIBoMoaYtbZWakEh+fJqqqFsKzC7uFmgBU5nD0xJVESwNL7EW7515a4r9DjXDC2ka0Z2aj+mSi1p0HQ06BtnzbqoSAVY9DqBxI5bPnix32Hs1NtFPFEC7Hg/cwwySAThqYxy/pz3nkMeVz2urqJNEL+OIkt0PfKDG6MnDVD8WXvgJv2alolue4Ng6KfK9AJ58ZlLCA1/k1XWIKXeYkmi1oF1CmCdp0cKgCvBKiUusZol+Eu3EEmrCrLULYEQVbc8F+RUbtwwo7BvpnVgEoJAZwgNVs4F+AQT6TmciPMLBvtZ2KsBsttRBkLBfzOx5kHD+klo3sZzGTuA13uFFRJH1xNFfwE09xd1mf0KmrKedAyTYM3SA6NoFBwyaEPxMO93/BBV3TdNIycig/sJv9u7eQXzy4O73wLY4OthMgSUxOo/+QcWzfuByXx0ticto3xAmwx9DZ0cb6lQsZNGIisXGJ//Mpn89C5LzsRkOKzJwCMnMKaG6q48CerbQ0N7Bh1UKEplHcfwTe6Njw51V3y+uaqoNk9yrE442I/3zd99EeX3l5OdnZ2YRCIR588METfg8jc7q5uYlHHnlEluzeLq49dxw1UcOoCv0UKpvQ2+pI6oomzpQ00Eg1izGlG5gIxGEz5ARIDUIKLXoU4pxRiIoliPtfQV00FTa7UNvfgV5xMHwopl+h54ToOFtw39PFjNrbzBmj2wnVtXLldWeIV97+sTF//lutt932Q6+m2bW53VwABRNOOoXlSxazc08p/3n6WcrLSskvGMCBimpMM4Q30YXVEUIzqjE//DX+Uf0J3vccHXMHE/1qAM+Hf8a3ayHyhtOh6h4YF4WoB542w+VlL6I4SLTQaeBGongNjcON0McxlNPRgC7oluztiQ4aaGIvZSwlnyl8nhkxu1viftk5IUCBo7UPlrsRX/b7RJWeBce5MkDDQQcwmEtJIo+FvEiT+QqWSkGQj1858EsnKzRJjjgTI/bHxIZyKay9iU5TIoREKB0NQQg/5WwinjxiSevehduG//MhsYjCwUr+TBajmMbNGEAritDHeBV2saKBH4uBXMRKHqaOHZSJhaqX/j3hxYOFJEUKDCk+1YHrie6rrKQtbahpGgG/jy3rloAQOBwuBg2fgMPp6k4JfKnSrbBhcrm9DBgyjhWL3iAnrxhN19GPo1jF/0UIYWsEZGT3Jhj0sW7l+4ybchoxsQnfACdAYJkmyxa+Tl6fgWHS5ze33O9YItJoKBJBS0hMJSHMe9izfT1dne3s3r4O0wyRnJpNXtGA7t4Hm9YsZsioybg9UeFC7q/fAUhISOAvf/kLubm53H333Vx11VWEQqETygmQUqLrOiUlJXL+/LdVIIS+ZmspPs0HXT+C6EsIJZ9FfVkAqTnxC5BSC4dnw9fQ3vRBEpAoUC0hHKvBFOMwx/tQVUsh5VxIvxxU0LZ7bh2Jjp4KMg/MDgW6IBAyiU7LUJPHDdUWvP2K0b+4t6/vgOHCMi1HQWEhkTTdhx+t4sH7H6SiqhaPJ4oLLryQuLhYPnj3TfbUWrTHFULVO+i/+AWioYLAOZfBqMEIIPjqn+ClV5R7+Bki8KfbUX8EfVEQa4CBNlWhfeTEYjUoUOJ8gmoFS8TTTORsPMqNiXHEhb8zvOc/0q5UAXFkcwlv0UZlDyX7T8dXFxmKVAYYuOpG0pXzvt04qHIq8jg3DrLL+0L0YzwH0VigHkNztqPineB7Hr0d/NZFyIyDtIsudlZPIFe5cWISUgYKExcG63mWtfyF2fyZJNLwf+ESPbvXQAfV9ONsgli0YaHjOGJaRUMnhGQU3+NBEslmJMP1l/mAGCzs+zjKUAw0wXUUToABHLZA79y8itaWBhwOJ3l9BpGYnIH9mfAO7isuTEopomPjyC8ewuolbzNxxtn/3xiIYwlN05GWRa/8fgSDflZ/NJ/x087EGxXztTsBSz94jfSs3hQPGNmjHPL/H9jCQHq3I6DrBv0G2w1mKg6WUFddRnNjLU0NNYAkv88gPN5okno8a4iIQ/H13ccICTApKYnvf//7hMIyt18HqqprRGtri3bVBTNxGUHeXd6GPsKLNa0DtRra33PhawBUElKd3b3o6YZCM8FMVKiJEjwaym+gnAorJFHTZ8EWBf5V4L4YOrFXzKoDiHVr0D0G5v7JaMVOsCzcHg8Vm3eLPgVZqqyyLvq2W28NpqTnS2E4rDNOP1W/7dbbEAJuu+2H7N27h4gITnFRHtkZw7nmmiupb3eiZw7D0XgWf4o9k4oRaeijbB9FVdUQXHgP2qP/wjH0POiS8F3QWw3EVoE5xcBQIYzFP8HkOTrVs+iMYAlPE+24nAES4s1DtIee0ML7PXnEvvfgJhoFYa37E4VIZYAHb8V0OvPexJe2Gk/tGKQ4+khAT63Vo9XiE2h0YdmSwFoRpuctMD5EtL+IlXoJWVlriWpsoaaqkHqCuHWYZCmcSALYxjWBPEZxA0kUhqMvX+R5tVMEPiRd1NNJHclkhcmURz6OxMSNwTbeoi/nMIqrqdNOE6u7Jf41FmsKaSgGh52Az6oUMMA2JqV7t1NdsR+PN4bU9Bzyi4fYX9gd7j92u3TD4SSvz0Bqqw9SXrqH7F6F/9PaAF8XNN12Aor6DkOaFssWvsZJsy7A6XJ/bU7A2mXv4XZ7GTJy8v804/9YIOIIoBQy3Achu1cR2b2KCPh97Nu9mWDAz5plC2hrbWTbhmUMGDYel/uQXKeU4e7jX4MzIITA5/Px9NNPM2fOHBwOB19U1vpYwe1yCYCcrBTuvWkS9z1t8Ish16KfBbKgCXYfwIxKgqpeEDJRSgOhIaRCK1YwTYe+OmIViMwQwTM0eEdDbNqB2roA3CdDtYQ+IRjsJHqtTseDKwhU7Wbi5R4GFcSBT2BEu1n/9g56ZSeLxMR4NWJgL+eoCf3Vjk37rbvvvkdt27ZL/uXPf9Suv/ZS8fqrL9PY2EyffoOZPHkyo0aNIDUjh5SkRJKSU4CpjNwAD20IsWCXCWd0wcP3wVU/QF5/mggYps2KFwLzVoXxsEI/CNY0B1pUDvrCn6ACBpa6A6GyWGb9gQqtgHHGHDLMiOvxSURh4DvC+7K7Cv349Q84MsJOgBmF9+BsOvNeRzM9uI6icVCY8tldAGnv7A85QJ/1xEQqHWIYh8PRG9P5R7Tgvcjv3U6GMYLEZTs4MOwcuuKLcW55gfUqE10vYqIFbsAH9GMaBnZa5Ys6ABILNwZreIpMRhBLVrgG49POVaFj0Ekza3iMOTxBAYOYjwkY6OFzbpOCpSZIQzHUBKf89DEZAKuXvo3hcBEVE8/gEZPswYWZycd6Zy7CDBiXy8OAIeNYt+J9cnr3CRuLbx2AL4pIeWDxwJFIabH4vZeZeur5OByuE+cEhEPWe7avp6OtmamzL0JK6/9r438YhC2IBYd4Ai63h/5DxgLw8tN/JDM7H483mm0bVyClxOONos+AkYe1yT7kDIgT5iy73W6uvPJK9uzZc0K+7+OIzN+8vDwGDhrCrx79L5avg7TLn0RurcN4vRa1WyAO3o4++odYub1hqV3ZDWDqYA3WUPktsHoHeIagzo1CjvQjVrhh8QrQFRwYBRMEYp8Tba1CluVy2/Qz6Ju/hiF5HRQkhCDowuroZOzUYRzYeZCK6gZx+w3nMGjmVEFVqZEQ6+KPj/9TOLSQ+MmPvs9ZZ5zO0//6Gxdcdj0DB48AwOfz4XK7saTCNC2mD4fBAxws3urgpld9qv7xlwSlW1CGB0LKPo0QyBiB+R2J61qBv3kh1rTpOBosxObbCPoTgWtps37CFsuN5vyIMxj6qbz8tbzAwG71u8Oudtj4fB1RJ5tRr4crA/xZi9GCcRjtvT61MsCu54cOTVGvK5Syd7tRKJItDU3xmSHwSJ2/Liw0KwMR/2Pk7OlkJlikZXawZ8opdL4Xg5EUg5QTCG5bxhp9I0GtPyfJ/rjQ6MRCIBEYX3D3b4/AAPbzPnlMx0MKn+deB+ngLX7AUK4inQH4sEgWgjRdUWsdahnUKgXLTHAYiqHBTx+ZAeDxRFM0YES3iIk6AYQtpRSx8Ulk5uazdtl7jJo469uqgC+JSDqg3+AxSCn58O3nmT77YgyH87g7AZHj11aXcXD/TiZMPcMuHf02mnNE9OQJSGkR8PtITc9m1PiTcbo9lB/YTUtTPdKy2LphKdKSuFxuCvsNw9utDnjIkbArCI5fd0LDMJg7dy7Nzc3A5+kZHB2+zNwIRwjFgKIsYhLSeeal52DPJuSGlUAO1H2ISrgA8oAlyl7ZJdBfoPIldOmwvwzV/gzqigvRHFMQ50pE8wjkGx7kCBNOFbBBQqNG12xJ2TtDmTsoiv6D90NziIDpwBHtxNfQyuPPL+K0aSNJjHOz6o030UB954JJYvioiR3X/eBX7pbWduc/nvgPF158FQ5Dw+/vwuFw4vGE+7ELQLcdlYOblrP3w3kM2JrFojYTHvsbXHkxWq98FALltAADngsRzHWgnr0S4b8T0XEdlgVwFQovGr9HkkJIej4z7KvzzdCZ+CRsJ8DRmYWsH4E/ZR3eQMIRdPYPQcdm7S/VoMm0b3mqBuMdkpyQhv45ToCGvXfWzBCqK5GM+hzSMldSsulkuq5OQ79OYj4q0UaOR3asJVj6LGv08bi1a5kgc3EiCOH4xPFVuArg8LP7pEyzwsJFNE6i4BN/cQgSCyc66/gPXdQynO+goSGBIlOBofgIqLfsb9CwIwF1nyMVpAEMHjkZjyeqO7x33Fn54cXK6XJT1H847e2tVJbt62a4f4svjkg6YMDQcWT1KmLh/OewLKu7dPB4wWb8t7Bh9YcMGTkZb3Ts185B+F+ACpNpd25ZTXavwnAJmSQnr5hBIyYyeORkUtKy8XijQdPYuWU1a5e9x7oV71NTWdpdhXOoO6EVfh37LoVSShISEr7UOUbWlO5OoFISDPjt34Wf9Z7j/bSx799/gK1bNhI0pVq5diPrn74PNq5G1SuoW4PSpyHXjIElJkLXD8W+U4HewIEYmDIbxlnw8x8hF67FStcwvzMMeZYbvXg57JCoVpDbJXqM4uWRSZy5ti83PD6RleVFuJK9CAXLPlqP0zBJiDHoaGsnGAgRFxdLQmoC5557bme/AcNCb82bz6YNaykeMJzqiv10trfYapLq0PUAWLduHZddfT3bd1Si1f5HnH7ZRaH4x59XWomFbNZRrRrO9wy0aoVa5MLK0iHvevRlG7B2dGGFAHy4uQCDCUTxFCl6MZ+V+R3CWV/4Xp4Y2PtXJRTOliKMrkx8mYvt3b+IUNyO/FddpqDREjRbgj0hjaUKDjokloio+X06dCwCOEhTG0nbvJy9uTPpOCsTx89NNAO0awVSSOSwAWhJtxC0nGyhlg2axMTCIITVoxjSDu3rRGMQhUF0+OVAC6v9meGfCg86LVSSSD+86FiEuSCfeNnRgo38h9n8FT1s/BUSp6UoCgkm64okXR3Wf0Ae4dUTYRJgJNx/4nZth2rao+k/eDSb1i0hK7fg21TAV0DECbBlmQUfzHuW6XMuxtAdx8ko2+psS99/jeKBI0nNyP0/Xe53TKEkQjOoKt9Pr/x+GOEqG3tnb++0c/P6dn+8qmI/LQ21KBQ1lQcoP7AbqSTRMfH0LhpAVFTsYYePpAvgq6cMesrdHi0OlROLw4igMXEJDB45ESEEhuHo/lzk+J/2HbGxsaSlZ1BRWcuA4sGc9cA9vLotHvF2NFrVPry+BMTuwXRhYuqardAKYILWpkGrRJ4bi5j+AOrGX5P4yKvkN2YTmxLFlthUGtob0M5oR7XHoF7RsKYC02BvcTx7X+6g+rVybuq3k4xUi6H98zhp3AA0AZmjBrDkoRd4bt468dffXc9zLzwfv2/vbkdUVBSVlZUYThe+rnYC/kjW/ZB2hGEYrFu3DpdDxwyFQIunoXKPoKlGyQceUuO/e7u2bt6zJG3rxHfLPbSk6rBjOYSuQPrKUMoWjErFQzIbKGcfqayir3kKRpikdiQEvmQzmRMDm7kglI6rYShdmYsPVQZ8CilQAVZ42jiw6+D3hzSEQyIMSS9LID4lDy6ERUDpZKduJNrYwv6+p9I+PwPtMgvrFh1+BtwhEGNBLR6LOika7YMKmlpDbNQ0nJrGMAVOBb7wFfeis5ultFCKjguLAApFDmPIoBgdDROw0NnDBiStNLGeWNzEk4fAsA34IVlBlLBLJgsZxz7mEc0VGHgxcOAGoiQMNyFKU6wxDvE58oGoI5x39/mr47k9/Bx0N/YIBti+eRWWGWDk+Fn/XzLHjyUiqZQdm1dSUVrCtFMv7DYwx8oJiBxr4bz/kplbSL/Bo7+t5jhaKPvhbGmqY/e2dQwcNp7oI5RwdjsDH1PMbGtppLqyFNMMoaRFMODHDAVRCmLjk+iV3w9vdMzHvtJW7ATCFQYRY3v8IjV1dXU0NzdTXFxMZWUltbW1DB8+HLD7C5SXV5Cfn0cgEMDlcnX30nA6D2nad6eYamu5/jvfY+mi+eqas08XG6fcwIfuaYhfgfMAjPYHSNUdbFMapVIREMJ2Ak4BvbdCZIJ5fRAt1QVv1HPTkne55iIv0c4U9u1t4Mm1jbw34VRaB2UTu+wAia79OJJ9KI8D0dtB1cZ4Cla088iYfUwbFwPSzcqV29hcVstDv3uOA2V1/OS7ZzL/w3Vs31NJcnISTz/9DLNmzWLf7s0E/F0UFA/F7fEeFuWoq6ujo6ODIUOGcNbZZ7Nm5QpSs3NUflKyavIb0tdcIxqrV1Nx/hqtaelioRJ1WJwBXRaCJjSKyRR7GaG8GGiYdKGwKOQ0okn7Bhv6z4FQCCWQjg66ct/F6MzEUzP+MCdAYRv8Jl2xVFdsDWn4e2R/NKDQIZmhBFmmIMDhKnlSWLiVTknqRnYmbaFk/0waMzLRJkukpiHuBsdCifdDk867DELPaVCh0GtKkEtWYfhOI0XtI48P6KemkMMEFLCTVwkRIJoEwMDC7qVh4sfEjxMvTmLowzSeYjYOxhHDABzoZDITP14sYbcZiMAWFVL4qWaZmM1P1GYSgCqq2UkAF7m2YyEU7Q6bcKxpimhLIEKHzloA575otwM+//zzv3w74GOBSBTA6XLTd8BIVi6ZT8XBkv/5joFfNyKRgP5DxiGExgdvP8e02RfhdB6b6oDIMVYunkdsQrJt/L/lbxw1ZLhT5rYNy8nrM4iomLgj3pcIXwAOOQMC28jHxid1f66mspSWprpwyN1k17Y1WKEQEvvZyszOtyWJj3B/pGUdoosLup2CrzJHlFKUlJSwYcMGRowYwebNm7njjjvIy8vjwIEDnHLKKSxfvpyYmBgaGurZsmULiYmJzJgxg/nz53PxxRd3bwIi1yUUCpGYEKdc0cnqn0+/IkRbPOLUaajWdwgG/40QpzFaXkGCHiRG19lqCoJCIbygtSnEIAFpLnuPZqQwctJ4hoxeA9W10LyTkWITrc+3sr96FOYsSTAQjdnuxXR56GjMwQwkMXBgA33yfTTWVfL7v7/IX/7zLk0tHSTGx9C3MIuH/vYG2dk5VlJSsta7d57o168fQgjy+wxi0TsvkpKWg8vt6XF/banlJ598kiuvvJJ77rmH88+/gO9//2YxbsIEMe/NV0nPzuOhX99rdWx9XlPGKdCyEaEUUABEo9FBrOGiwJxCksqkkw5W8Sfq2UkCGYQ+peTvsPvVrZjwDUrbqXBlQCgaT8UMunrNA8uFp35Ed2WAwGbex0rBWE0hHJLNIY2Ash0DE6iTgi7x8TNTICS60mlLWUdGwk7qymayJ5CJq9QikKGjKYXcL5AXCLyvSvTnTZovdyAflVgZfTB6rSC043GqhIsOyqkRD3OSsqhjDxZ+hnMFscT2EAaCWqpoo4x9LMBFDAVMo5UyTBKo5Xt0YbIJB6HI82gAThBmWDlSBjA8WQQ7JPP5Dqn0YQdv4uM7dJJLuG8lLlMQ5Tbx+exIQhB7/6DCAzm3x5X42mna3amAqGj6DhzJ9k0ryO5V9G0q4CsiUh3Qb/AYhKax+L2XmDjtTLxRXzFHH/7b7ZtXYZohxp00x975f2v8jx7hkHxbWzNudxRCaJ+btz/cGVCH6eOnZ/UmPau3/TsUdVUHaW1uRCmJlIqaylIO7t9pG3vA5fGSntmLtMzen3rfpJSH9Gp7jjv80/7xsWU1PDfa29t54YUX6OjoYNOmTbz//vvU19dz3nnnUVdXx4EDB3A6nTQ0NJCRkcGWLVvIysoiMzOTXbt2dR8r8h1KKeLi4hgyZAhvvPkmbq9LOZVHdKx7G1V3HbpIROMWpAqQLXU0odOmYA/AQQjNwRYFfOopEnQ/Sd6xlG5aysboeurrFYtWbKOoVzIPnad4/J1O/rx0LNbliYdObD78pHQHPz67hOTeSTRt1li7aS8TRvXlnNlj2VVSSXNrO+OG9WFfVRcr12xQF190oUhLS+sRFVMEAr7ua6aUwjRNlFI88MADzJs3j2eeeYbevXsxa9YsoqKiuPa672nBQJAH7/6FaRnRkDUJlsagfOlAethvC5IgDGLQCCIx8DCa61jAnXiIJ5/hdGFxeHMf1S30IzExMML5YbuQ7Yvp+h9PhCsDAvF4Kqbhy1qEHozH0VqACjsBCtAUpIQ0xjgkKuwEBFXkCKAdNk1t4y+UTiB1HWb8LqLLZzKsK52gbrERDXMN0A+McoXZR9B4lxOtVUERcLOGfr+F1e8U9M59qIPphMRVhIz1lMlKuqztjOQmvMTSgYlAQ4Y7BsSTiUE0u5hPJ/vZzEsUcTqbeY52WoGCQ4SFUdgiltXYLaNdAgwPbHsYkfgd1rUbRJsvoKlVZPJnatHQnBKC0KUEzX4N3W1hBfRuISwNCepw4eav3QGAQw95SloWqRm5rFryNmMnz/42FfAVoWm2E9B34Ch03WDZwjcZO+VUYuOSvpQEc2SBrywroapsH5NPPjf83reO2tFCKYXQBBUH95Ddq4jo2Hjgk8b0s/DxXPnHHYK0zN6kZfbu/n17axMNdVUEA/7w5yX11RVUHtyLaYbs+6cU7qgoklIySU7NtBUJj+JcVA9dgMj8aG1tpaGhgSuvvJI777yTDRs2MGfOHK655hrmzZtHa2srEyZMoLy8nLi4OAYPHkxhYSFPP/0048ePR1phQqNlb90s0yImJobs7GzR3NREUe9M1bhpobDM9aCCKOs6YhmPjm0MMj31DI2uQPPWIa0QuqYRbAjS/P4bWLXtUBzk2RXzKIhNJzYli7SkGM46YyqJveL4frTGgSU6816GlCxoqQB2BjhnVjNWww5ufXAtu0tK2bW/ir/fdy2zrjiVylXbkbrkkX+8w7p5K7SMjHRx8qxZuN1uLMvCsiwGDZ9ExcE9JCalERUTd2jNS0nhzjvv5B//+Ac7duzgmWeeweFwsG/fPjIyMvF6Pfz47geNuff9XTSJDtCHkgjECIlLlyicZIa5OBoaUUCQJAqYQQnv0MhehnEBISQyvB/Vw0qBdhMagxZacBJNFId2jN8c2MQ5oysTV8MIAskb0fwJ6IEEVCRNgG3jUkIaYx0S4bQot2zOvVeXSGm36bFj6ja/wJ+6GjNuP97yk5G+VJwiyCgpCOiKDaZOV0Ag/ikRAyEwLry+BYB+wJUa+kvpyEHpiC7w1UOzNZ1qvZGhYgxRViZ+pRBhx8oDYSV/iRs/xZyESQiXSCFG9WUvS2nHj9CUvVOXAoYDfhDXS2S1hv7CA2iF+Yihe7E234S+/kmUmkkf7sdkIDpBDB3kmTqaH9QKgbNdhZs62aFDbVoI0g6vAPlGOAAROJxuigeOYs3SdzhQso28ooHfpgK+IiJOQFG/YRiGg1WL5zNqwiwSktO+MGFPCEFHRytb1i1hzOQ5uL5GwaH/VURKbHduWcOgYRO6c8Jf5RoeySHo3r0LQUxcYnd74gg62lpoaaqjq6sjXL+ssKRFc2MtdVVlhEKB8CEOyalExcQRE5dIbFwC0THxOF3uI6YVsrJzGDBgAC+88AIVFRV4PB48Hg9//vOfqa2t5dZbb8UwDPLz8ykpKcHv91NUVITf72fFipVceumlOHscV3Pa/9+vX3/GjBnNlq3bIFCFN7o3yYPOxttQh9TnswuJUgYBy4PPcqN1JtGaoWGUS8wqndCdd9D+k99TvHoeI8dnUFTch/KaFooLsknMS6Vrby0FvQ2ui36R1Q9uo76+mqvPmMaF5w6iOKONltJoOtraWb1xL3MvnMbA4UU07ywla2AuuzZWBF9+Z52WmZ1rPPLw7ygoKAhXethEyNSMHNYtX0BWr6LulI9h2E2DbrvtNpKSkrj00ksZPXq0fX86OggGbW7EWadN0257+BnVdPC/AvMy4oSbCWgkKYFUktgwwS2En7f5DeP5MYM5nzpK2Mv7bOZVBnEOHjQU0IEf0HDhZAMvYxIgQCtOYkikgGxGwZeqaz9e0FBC4WgtwnI2489YRtTB0wELhB6WfbZnalJIY7Ku6CI8a02NKGn3PtAAoTT8GcsxoyrxVMxE8yXjEqCUk2RgqgWWZrH2gE7IKXC8ojCzBTINItWT1gyBc4UFfoWVr6E3QbuU7DWTcBlJ5ADR2P6CB9gMtIUTMRqpBJmOpYEuoYS76BRRCJWKkuFKx4vsU2OmRI8RjK1fw9rdvyXUMhrHPX9C7PsVwf6FhPw/5eDBFrwmKMNJ0AFqIlAOWnwAn9MJu0IIh4J8MEe6YN+yw67sN8YBiHjEbreX4gEj2bJ+Kdm9+6Bp2repgK8I2wmQ5BUNRNN0Nq7+kKIBw8npXXzUxL3ILnPR2y8wfMzUcPOhb52zLwK7I6IWTgEIHC67heuxXmbFx0iDdnQgQosHoQmiY+O7ow890dXZTntrEx0drSgrUpBk52NNM0RHWzPNDTVYVggpZXdaIRKBMK0QcXHJnHnmmSxcuJCMjAz+8Ic/cNFFF+H1ehk9ejQJCQnd5YoZGRnMmDGD1NRUbr/9dnbu2MrSD1+3K6Z7zEtN1zF0gzEjhojVq9cor9eD8nrotEagq7HUd5rsQKfNcmEGE5D+JDotB5YDW7JtFtAfSEmgefnLTP3O9ynoncX8DzdRWdtMUXEuvQoyaCn3sXrFq4xJrA6Zcc4QVf90DXJdoMc7CogfmM/fH7ieGy6dwdCB+Yj0JHDpVO1u9l1x61/J7V2k3/frX3LSSScBdEcwX3rpJcaOG09KRjb+zo7DHD5d10lMTOS1115j2NAhfO/GW5TD0M2Hf/eAw+FwEQhZKOnDccp9ij9cIzDPIKB58ViKVMvma5hEyrs0XMQj0DBRRJHOEC5nLX+mlt3UsgkdJyF8tFJOJqMI0EY24wjSSpAuNvMf+jOets+pH/86IKSOq2EYvqzFdGW/j7f8ZDsVEG68ExlxnCXo6e6aSCQaKPBlL8RyNuOpmIHmT8QQkh1qMX4a6KKTfFVMsTaezZYiWC8QyxQOZWEVaIh4EG2gMiD0Ux3jVwplCmhUGHt1/Ch2SkmCIcjAfq4NJdhmCUqU3YNQolA6KCuEcBoEjDhE10rQt8LUaeAJP7qvgX6bQL4Kv52eytvXXosvlMj8TbXsPrBZxZz6lAh8cD/17MOhNFTIjRo+FbHoZBimIRO9sF1BoQMVBcSBeO6PsPFtmDS3+9p8YxwAOOQEJKZkkJmTb/cKmH7Wt6mAYwBN01BS0qugHw6Hgz07NhD0+ynoO+RzCXwRQ//u609RPHAEWb2Kvu3i+CWglE3+27llNTl5xcRGduXHOYLSzfbv8TXdnIMeeX6haXijYvBGxZD2KccK+Lro6uog4OskEPBhmqHDjielxOOJIi0tjUsuuYSamhqWL1/O6aefflgToUjkKTo6mr597XLHoqIiioqK2LNzA7qmH8aL0DQdt9tDfGIyQgjNrUua2trwxQ+kqXMIrS22HKu/x1gNLPRqbMGd9/xYQxzoEwdT8u8gr723kikj+3HmrFFc/cO/8NSzC/jVQzfQtKuctxZuk9ff+ksuvuA85zlnnyUu+MG/efnvP+FAeQlx0V6GzRpF+95K3n78TZZs3svadWV6Rq9C4+c/u1MbOXLkYekYy7Lo06cPOdlZpKcksGbZ+8QnphCXmIJSqpvoeNZZZ3HLbT9VUdZBmpq65Ny5NwRzcjOd9/36V4AHI8UjMFsR0SEam2GLBvEoons0fDFwMp5bkECADjbyBOP4ARYhdvAy2Yymjh3kMx2JSQ2bGMV38eLtTj03spdF/I1hzEWgh3XpvwFQtj6AZrnxVE+gK/c9fBnL8FZPxNJMhDxkyiKtee0/k2hKAy2EL3sRSgviqZiBHoxHCgtLCZLIYBfbaOIAXezA0FxEacPorFOElEBkCjBB+e0sghZSGJsVskxgREvUJA3aFKIOAlJnuVI4hG1cJWAp6IgMTgh7dz9Lg4AGm0z05HMQahnEjoB+cagxCs4UGP0EKk4xYFhvhgy8C8v0cUGpj1/uGCmWLjrbDKpCTZt2maaaajFkELrWglyIqpWIcifaT/+AvGUuyukFKcC5EvH2A9DU3H2tvlEOANiLlcPhpLDfMNYtX8D2TSsZMHTct/XlxwAiLDaTmVuIy+Nl28YV+Lo6GDh8wqc6AZEc/5L3XyEjO48+/Ud8ey++LJQtGVq6dwfDxk7r7rD5daRQur/zCES+8P8drp4ibCKiy+PF5fHyeYg47enp6dx77704HA5M06Szo5XyA7sZOGx8dwfSSKjc1iPR6NNv+Kcet7B4gF05lJqHrgqQLX8Ds4Um7RSEkOhOHTEG6C9AashqgYoGAl54DxRpGHkj1bKNreKiG3/PxWdNYki/Xry2YA0nTxnKpp3lcsuuCrlr60ZH64zJZnNLq7zw5MFaXUML37n979x23Rz6jenP3595n4OV9Zi+EBs2bXVePWIsgwcP6o6URYy/ruvk5eXx9NNPc9bZ59HV2YLP10Vc+Hwi3RXvueceGqv2dD5x/6WeYCjkfHfJRvnsmxs6vnfjzd5LL7tadTz9N420C1HeFAIVsEUp3I4QY00HHqmFmfyHav8NnPRmChJFkE4GcSHZDCOd4cSRRDL9aKcKF16CPbjqg7iQNfyVajaQzxj8mN1NhL52dFcGxIQrA+bjt1y460YdVh7YPaOFhaZ0pLMdX9YiRDAaT9VENNOLChMBLRTp9MNDBs1UsIt/0UotSmooYSHqBdZOAY3Y1jwRSBJopaAJhbELAqPAGAaOJYqQD3xKHLHXguFQSAPUSAHpEtU/hOYowWwbrcgbJ/A6bS+2TUA0mK8BiwQN5yoKMmKBWMYMhT8//FN2bl6l+dLPE5c/68Fne39QcxDcu2yPw7dE8tupgqhRkl7DdFu04goIjQReOjSm43OnviLCvQL6Dx3HxlUfkpbZi4SkL56z/hafhM04lySlZDJ01Ens3LqGNcveZfTEUz6RDogYp81rP8JwOBk6asoJkYn+vwgFCE2nq7ONmLgE3OGGP980/sSh8XyidsqeD/T0Cw79n5TqsCidruu0tLSwceNGpk6dimVZGIZBwO/j4L6dtgPQI0cOh6ICKtwNsceoMEMhHE4nuTk5JCclWNFuj6rZv9XQHAJpnA0yTLPKFjBGoOqBJkCTkA00fARvS2TTOrS4HEFiYWjxh78VFXUtRkFOMtddOIO3F21Q85fsVQ8++KB+4QXnqbvvfdCKdwcNl+Hk9vufpqqmmfkfrCfG4cCSinNnj2XUtOG0+ULWS6+8Jr77neu0ESNHIaXENE0Mw2Dp0qXccccdpKWlcfqZZ9Ervz+tLfUkp2Z0S3UDzH93gfn4fZc6XP+PvbOOs6O83vj3fWfm+rprNptNNrpxd4EI7hKcQrFSpC2lSmkLFHfKj1AKFA1OQgKEEOJuxN13k6xl5e6VmXl/f8y9m43gFlqez2fZcHfuzDvvyDnvOc95TpJPusMhcdYFx2tDBvYy/njvW8HHHrxDryfLQ5tLodKDUNCkJItNN37NpKdSGErDjLXAkehouGhLd2poQsdFHt0xgQTSiDiNjkmjAPOwxj9ekihiGMv4FxoGrehBiCgCx8lwKgR+yHv2YGWAZ9dIwnnTkZFEXLWlhzYOkibS1jE9lTTlTUdvLMC9ryfCdh3SW0AiaMQkkWQaqCSJUgKWoEnbT61KJ6pArIzd6S7AAC1HIXMVVokg3FuivGD1FBhbFGLj0UetJNhRgToe1FAFUwXG3QbRj2p46JZBIrFzGQfqwbAgG6c9haZD/S8gJ/WgmqutoHVxW1oXt5UAyQGLNQ6lA2G0Qou2Ii8BrKbjRHjOs8I94BIhk2LXNwJ2lYVZf3Bcx6YDEFsVJCen06pNe1Yunc2IMWdjWdYXf/cnfCHiZWdJKel06z2UVctm88kHExl6/Fktyq8cY7Br+0Yq9+5h6OgzYwz2n4z/14GKqW2uWjqHvMKSGCnvIMHux4C4oT444oP/0jTYuHEjL774IqNGjaJt27YkJiaSm5vbrDQKjpFvWQt/1OMcdo8ppdANg2AwyKJFCwk2RWS2WaPKsmpZaZyAq+/pRD/GafU7VMBuEJnAmcBeC7XOgPW7kLNvgL79MEf9grO7lGl12Wuszdt3qF9efoIYPqQbU6ctFovWVAvD0Lnt7/dwYO861yO3XSTCfh8LV24hGjUZ1KcDbXq0pW/v9uS1yoK0FEYM7m7PXbFNC4UPpkOklFRWVvLMM88wZ84cXn31VRITAvjbdWXOx2+TnpVHWnpO8/MW8CdYuh10KaGEilpYFdVkZXrc9/z2dDlnyQ45t/oCamYnQDiKQkNSS6M9kQbj5zg0hxqSSEECjSg0YBFvUsdu2jKOKBYSrdngKxRROILoZ6PIoD2lnMQuFrKXFQzkUqI4FWpN2KiY0KzDrf8hUrNOZYARzIb9vYmkfupUBoQyHOMubKStE0nYTih7Jq6qbriqOyMQR20spCGJoPCSQjW72Gu/SSf5F7x6BoujFkppTookAkRAbRKoTSC3gGilsNqB3UtgdRRoO8EMHSY9HPOa7TKgTDlWN1FgT/gXcsUsNemBG8Tbk1/B2zbjc845xhkRxPgzNgqNkV00RjZvE+fsxLbsepkzWbS0mxoTDwYAjpUEz5EQQiCkpKCoPYmJKSya8wGapmGZ31+n6v9mNJMuvX669x1JUnI6H77zfDOjXClFXW01ny6dTe9Bo9Fb5G9/wtdALJpSua8crz8Qy/3+0IP68jBNk9WrVwMckpuPo6KightvvJG7776b2267Da/Xi8fjobS09JBV/md9//MQ/65hGHTv3p1xJ5xgpWflmi5/IsmRzUT2PonRczdGK3DtsXB1ttHvtZFjLbgEOGMPhvYR2tWj0F+/Hfdxo+hemit/ccN1ZlJqVqhDmzxc2akM7NWRVjkBcesf/mIunfWefdOlI0RZv8707tGWXmVt8HrdFBdm07VnKXk92zH942VsnLMSTUOPhEOEw2EVnyspJU8//TQDBw5kwIABdO3aFSkEhstFKNiAGT602E5KQVPYUsJ2Um6GrhGtj5AUEEZJpz6aVpjh1IILA6ei+3F0NHZaD7JYPct6JjObJ5nJkyhsGthHOcvIpx8F9Guu7T9o8EXzv21avlMFPpJpz4m0YxwK+IC7WcV7LOZVNCS+mMa9Cy323R/iRpYoYWMcKEFryCOUPRelRZywv60TTl1DKG86nr39cVd3IU5kPVpXQZBYKDJIoy1j0AmQYoYZpKDMsB2jC82VBrYASwjULgFzQJ8K7qdsrHygLUf2YYiHzboBKSYsF4it98DvL0cV/0IMOvtn7NhRzoaNm4hEo1g2mPGfo6x5HWK8jq4JLLvl7EsUGpatYdqOzoRpK0xba/Fz6L6OzQhADHGVwM7dB7Bg9lQ2rl1O2w7dfkoFfEuIG3pN0+nWZzirl89j8utPM2z0WXh9Aaa99yIDh51EYnLqT+V+3wDxyMm+vTvJyM4nEEgGjr3w/9GglMKyLEdfIMuhBkYiEaSUzc9gOBzm6aefZvLkyXTo0IEhQ4aQkJDQ3Izq2+kgKDAMg5EjR5KZmSX+evttcsbMubTPq2RgQTWT7RzIl04ONQpMAGpMZK6BnP0K0V3r4Yz3YGkKfGiycUCU888ebmQXfaCu/M2j6v8evkkEaxtYsHClOG1UV+2uv1wmClMD2A1B6moa2FtVS15WKgfqg5x1yu8ZNqSMaDhCUsBPSW6aqKupVKFwmGg0ihlbpMybN4+77rqLmpoaHnzwQf785z+RlZVNaZc+7Nu7k6TUdHTDqQQxTTPG1RSxObfRDRd4DapFMo0HdsGW+bCnLvbG74CPk2ilVpCDgYcEmqgiSphlPEMla+jNteTQ5nPr+gUQQCfY4jM7FplKoxA/57KDOWi4EUgW8DgeUojSSAadKaEfUY5sMvO9IFb+567qStBTQzD/IwLbx9GUuYBIyjp8u0c47YSdjfmsaJuNhRfJaqazjGeJ0oSNSaZpM0AHDJt9OHxZE6gzBWElsAALgSgHrRz0RoVdJ1AxyYEj3KJ0kI0C27JQd4xEe+dcrCWGuvnq84VqrGZv5QGkEHyVorf4tvFjiebPBMgvNu/HtAPQcpXavksf1iyfR2ZOAYFAUiyn+pMT8E3hvHWch6NTt/4YLhcL50ylrrqSAUNPJCu31U/G/xsiHv5fu2IBxe3KPlP691hD3JDpuvOaSE9PRymF232omIjP52Pp0iUAeL1ebrrppu+kcie+z8zMDC0hKSV601Vnh885o7s7yV/CVeGF4I8gNQ3V4OQ6XSUGK5fttl5ZONM676ZfuLqNSsFuiBC80EVJRgSkWy/r3MF88tEHzLMuvsP4zTWn8tgj19M2PVnmts7CrmtEKnDrGms27qYoP4PRg7pgK5skv49unYtITvTjysuifZscsWr1OjFu7JjmaofMzEx27NjBtm3bSE9Px+8PoJSiqE1HPnj3eXLyW5OemQfEmieJ2CoVhZ6ezIHt+5g1axmPPCWoGdEBfO3AKkHYOorOaEjSZG8KbMfgCNpgA35SqWcXJk3UUoWXVD7L+IUJspBn6MO1zfqA8W2jKFx4ac8ooigihJjLQnLoiUWUjbzLXpZQyhkkkN1MRPz+4Ly7hOXBWz6YUPYcajs/hn6gBO+uYeiNrVqE/D97XAKBiSKV1hQxhOU8i4WNW0lSTZtRQhKKWfR6YJMGFcImjJMqrYpKggjkRkd1UGiArRxBH3BerxrwLnCKhl5pYQ7rgz34MSgbJx76zwn87uKuePzJX9tZ/rqzfkw7ANBCJTAzl+zcVixfOIOhx5+BbVk/ouzpsY5YKNC2adexJwtmvodCUFu9n+y8ImzLQtOP+VvlmEU8nRVuCuJyu5vv6WMZcXY6wDvvvMPJJ5+MUopIJMrvfndruG27EnvwwMFGTe0BffXadWzcvMMuLS3lrLPOkn6//zvh68SZ9YmJiZSWtpcLZ7wZ7TPqliihPUZpwyawZExsQSlctiAlP7LovYmR3n0zvDdffRaIKI5KPIBBNBrltFNPlnNmz+T55/+DaSqGjukPe/Zh1zYgNEk0auItyqapKUyPjkWkty/kwoIMCJugSaxQBC3gYviQfuHqqir9oYce1MeOHUe7du249tpreeKJJ5g2bRqvvfYagUCgmRyoaQaRcKhFNFPi83mE0CQ2guefeY+IEDz1cR8WnFEMYzNhUzHECGkuoAbYI0w6IDFiNeYgyKUTGl42MgmDBMoYj4brqHOqYZBDz9gK8tA3qojt02miI9Bx04urSSDDWWlisILn6MrFRzX+KhY4/055AlI5MXnThaXX05S+mOSaMgKNrWiSIbA9X2gnBJIIJnm0ppJW5NCD7UwnkXTyVVdcyiY1li2PAtkKwsK5DkEByzSbFbYgGgv+a0kKEVVojRC1cNR9FLAR1KsCe6iG/rMw1n9SEaeVcc+bs3C1asevhnmxbBtLgfY9LW5/FEtoJ4yo0aa0Kx6PlyXzPkT+xAf4VhEnLi2c/T5degzipLOvpKZqL3Omv42m699Jn/n/BTi1/5KtG1eTk19McopD9Pm2Vv/fhqE92nU1DIOpU6dy9tlnc9999wFg27a9ccPa+okvPqPfc8dfjYsvuYR/PnZ/dO3S6eqEIW1lanq6fc0112Ca5nei2xHnp3i9Xi6+6AItNa+DZ2Dvi62X/7MktGuHUg0HwLY9YHqFZbVt+N2v3gjOXdPk+c0tv9MQBhFTYiknb2painA4TGZmljz3nHNMl9sbjUQjEI0SDoaRmoyFUyU0hnjk9su56sLjUXVB7MYwKBsViWJaNipiYkajIjUtRTz88CN8+ulKALp27UpjYyOVlZXNHQ7j171nv5Hs3r6J2poqAIpa5RnPv7MsWl1eox7+11QKsxLZYpzI8vPORFzbD4qLnZVl1CZN2RQKRWvDZputYSkZy+g7v8PYaBjUU04KrfF/hvEH0DEopt/nzbpDnsMxlIk4968PKKQvPtIJEKBlEkChUFgYSFxoMdLgt/3uUCgRRdkS01tJpN3bBOq70mbJ49SrXaz1TUSzPWgi3vng8yGRBLFJJI9ECtnDUraziDARLAShmCOkgICCdFuQYQuKLEG2cBb48cpZ0QCiO4gChSt+7Fh7QrUD7E8EdthAuzyCuOnP1CbO4h/vVHDfPOd+06QkbDo+ZjhqH5G3/zbxo3AA4CAfoKzXYBrqD7BhzRLHMP1UGfCNEQ9Hb924ivoDVXTuPoiU1Ey69x2OP5DE+28/10zksu0fJNv3o4WKOU6b160gNT0bt8f3rThS8X1UVFR8YyfgcGckGo1y1VVXccUVV5Cdnc2SJUuwbZuamhp53nnj9azMVO3FCTfrf7v+OP3GS/prf/7FONW+XetQ3YF6mZiY+J3eI/EQaVZWFnfeeZe86obfuyZOWamPOvu36q7H3lWmnlO/YX9q1ckX/MF498M5/j//8fd666IiLMvCpWtoAlAWuiYJBAIADBk6TDvt9NPl6+/Ntis27kLzuLCbxXwENATp3KMt+UXZiFDE+UzFFyYCEYlQ2q5Am/bhVLFz5048Hk/zeC+88EKeeuopCgoKAKc8Utk2KWmZ7KvYiRlx1Npv+OUvxMpNVdYf73xedepQxNBT2+MJtMFq50IpG3Y4CnIoiR/JICU4zRKcYAkMDi3NlMhYVUAr0mnPm1yPjXnUlbACwl/SOAvAQlHJJibzNxYzgWy6cegyTCERuNDYzadsYiZGrHTQJvqljPGRY1TYRFsQDp1PDGXgTttPQ+Fb7CmPsKpqIR/U/x/rapexyj2BpdozRIjEHJgvOq7ERpJOB/yk4ybAbuayl424Y3uIz5+JEwmItxc2OBg7EQqssECtAbOrRHUWGLqj8Y8NGRL8O8BeIlF7FPK5POT0ZVQOXM0/VsIdr1WwZ/d63LqJW7dxGxJdgvUdPVI/mrhuc9dAXwIduvRh7aqFZGTlk5Sc/pMq3TeEEIIDNZWsW7WIIaNORzeMZu5FWa8hbFizlA/eeZ5+Q8aRmJwW69T4o7l1fjA40r8aQoBu6LhaGIZvirjRTklJ+cYku6qqKtLSnPbCpmnS2NjIW2+9RY8ePZg6dSpTpkxBSsnbb75xIGAEk568/5eU9WjnJDw9Lvn842+pCRMX2c89929pmuYhin/fFWxbkZaWxoXjz5WF+bnyt7/bpx55ZrL4cM46V35RqTFw2PHuu04YS5cuZYeQhiORCC6Xiw3r11lPP/0v++xzztF69OihXXrxBeFLL71MLJ6/ynXiJeOIbtmD9Liciygl4ZoGNE04fIgWDpwmNagLctaY/trMhVvtaDSqNKkLZ4w2I0aMaOZQxBHXU0jLyKYpWE80EqZnz140NDbJ3dFGeXz/1jw0vRsvrU/BHqRASAiBIRXRmKnJApJsQSY0r0xp8XsLH9GJs/CSSifOipX+HR1fNm8vcBQGV/MqnTmTKCapFMfa0EpsLCSSMA0s5DmC1JJFR6bzd/pxA378jjLewZmIRRY++/gKJ/3giaVummLfkWhsS5nINtdbmLvT8TR0IJsOpIm2uIIp4N3KpsxX2VqeSydGEgI+qy2ywsZAUsEW5vIPohwgkzLy6UMa+USxDxljC6UMFI4RbXkGtgC1XyAX20gFmkdhB53ok7AhQYPQdrDaSFzLFFZFDiS72D8uwn1Phpl1n01RWggjNUBVxTouOreI0R08mDbo37KZ+1G9xQ92Dcynumovny6dzZDjHD4APwJS1bEI27axbYtP3p/IoFGn4U9wNMqEEBBLC7Tv3AuvL8DCOR/QqriUth16YJnmT7yAL4AjoSxYtWwuuYUlpKRmAt8u+9/n+2JVvs+DUoq9e/c2OwC6rpOcnExdXR2zZs3ikksuYfDgwWrWrFnhBx64141lUjagM9aeSpqiUX535wtq+76Ieced93p6dO9OKBRqjgDouv6dVetIKZr1BYYOHcLrE18RW7duo7Ex6E5LS6Zbt25omn6IcJVlWbhcLqZNm6bOOne8zMpIa7r88ss0IYR39Ogx+nXXXhO96W+PRQOpicaQkT0xKw+g604qw52WBJEINDm6ebZto2kSIQVmJEp661zh8xoagMfrbp7bw40/gIjJ/3btPYzFcz8kITmV1LQs/vTHP7juvufuSFNjtfHB8nyx9uQkKAAU6KuUY2Wk88vGWYVGiSKRR7TwrWcPAXLQ0WjL4FhXuG8OhU0tW2lgP20ZTKi5OE7gRSMCrOFNcuiFnwz8pOMiiZX8BxeJZNOJLLpgxXQJJAKLKOIozYfihrmeSubyLC7hp5u6Ak3CwtRfE7WiFO2/Do+ZhSEMklQ+buX0RkioK6EysJ5g8mJ89aNpss2Y43bksycQRDHJIQOJpEYGKVEdyFV98ZJEGBv5GU5K3AEwDvtQCYG927lGpi6wlfP9KpwmQEoAGxTmWQKVp6H9X1fsKhfVJ6czdeF66BuAT3fBlIdZYP6RO87L5uzOYNriW3UCfnRv8Hijk+J2XairrWLBrCn0HTz2J4P0NRBX/nvvtQn07D+K1PTsQ9npLQxVq+L2eH1+Nq9bQfmubQw57vTmJjM/NQT6DMTK/3Zv30TnHgObld+OJUdVCEFRURHgGLWnn36aSZMm0b59e/7xj38QDodpDAbFTTdcLzqXZLgLctKwK2uxFfz9odf4z1vz1NMTnmoaPHhgInBI+Pu7RkvnIjc3l9zc3EP+3nLlH41GsSybObPn2E8//VTTg7ee4d64q8b9/Iuvq6QEN507d9Fuvvlma86c+dY778w0+vXqgJTOgkNoGg89+Co9uhQzeHgPpGkhXTo0hrBNC02XNNYEzd3l+zXdcAu/32ml/FnXWcTG5vUFOFC9H2U7a+Jhw4aJm265jfmf7rCIhnXaxhLHKORkEzNbgOtQJb4kDExoYeAVWixv30QNflJjq99v/ow65MMEBvE7KljBh/yNMfyBehxC9mbmsZ0F+EijmD6OowR0YDhriLKEpynjPGxs3OhEMAlRTyopNOG0JxYxkR8V22eYMDuZjyH8ZKtBLJGPUZP6MSKcSM/GW8mx2zsrbuUcqwkLDdgbrSNYG2Bj4BUMVw5dmy4jIkyEOlLJUMViA/u0BExxOpXqTqStkYyfppij8nlz4sbp+neAFqkY5exXAaJFjsSK/aBA1gtsCfQ8E3vaFaiPbOiQCmUWrDChykbOf5/Nf/49v5lpc6BWcMUgQdQ6JAh1RCsRdVgJopRgfMbl/3G+uZXC5fJQ1msIkVCIT5fOjvEBfiIFflk4L0eNae++QLvOvZwGP59jnJRSZGYXUNZrCGkZ2Xzw9nPNTYJ+mvcjESdV1tfXEkhKxedPBI5N3b94FEFKicvl4v333+e6667jhRde4E9/+hNXXnklGzasM644/zj+eMNZSFuxdede3n5/EZZti2eee9l33OiTrLEnnh49+bSzo2ecfX70qquvM3ft2qXgqwv/fB0opWLRLLuZsNrS+Esp8XjcLFy60k51HdAvvvkWmZniFR9Om6bt2bMb27aU2+M1Jjz9z9CqHU3B9ybNxJWbqcJhE8s0mfLJCtZs2gWpyXzwwSKee2YK1TX1CF1DGQbLl22wTUuz4y1+v+i8489Z63ZdqNq3h3DIaWP0+1t/Zdx61yty/ZZKDBXrGRtU0GDAVh0awXm9W7iA17mBZbyGTbwqypHKdZOIl2R0p6/itzPHOI5EFq1pwygMAszj3ySh0UAFG5hKZ06gPafEohM2FgoTaM0IihnFQh4FFGuZyjweYAlPM5U7aKQKFxKTKDqSAAaJGNSwjSqxngHqKrJSNXJKqilruIH+9XeRYbcngk1UOceJpwYUEhd+slUPMhpGIdM3Qc5GUHqse+CR56WjUSUUW9QATPshao1B1EsD/XNTJw50cVgE4Cj7P6TAUoCGDZ118AAdL0Wd+AsYfT2kXYtYdTPi3WvAOA07FETc+TO2X6px23rJXW8oDA1c+sEfQzv0x6WDu8WPIflMIuGPc8nconVwl54DWb7oE3ZsXUdh6/Zfur3t/zLiL8e5MyaTlplDu449vnBlGk+/+AOJdOraH683wAfvPE+nbgMoKGr3UwTmMCjbBilZvXQOOflFJKWkHXOr/8Nh2zbbt28nLy+P4cOHc/nll3PiiSfy+uuv26mJPhkKRUhMS4SISSDgxeV2q7JO+ZEzjy81MhOlcBlC2LbiQH1Erdl6wLr9r3/X/+/JJ76Xbp7xCoHDYVkWhmGwceNG++933GU11VeKktyAa9JLz4sln261xow+Tl179RWa1+sVgMrJyQ/ceNOvG/78+9/ICMJz7oVjobGJX//8JHKzUuFAPRnpSbwyaS7FrbLo3acjbp+bAw2Ndq++/eRHM2axZ0/5F4831pirtFNPPnn/NdKzCnB5PJxx6onihut/Jsqn/BXx2z/DW+1hNkSj76AtK8euuygWbJfYQGfOw09Gc47fxsZAI0w9H/MHuvMzUin5Vufakc0N0IXzmMUdrKeEDHpgESWd9s1Uvbjj4TTs1enKeFbwHFO4nvacSisGEyCTSjazkv9QxFDa0o2tbGAdb6EJaFJNdFRn0FQwgyZXOa32XIceSscGzGaGwBGzi8SgkM7Uqq2s3P8UZE2gQ+q1iOpCLGHFIgHxrR1BnwRs2uh+1kW6sEZBO6EoRDRzFg42xz74YwKZUUmeZlNhQ/SwREa6rnCjCCmotJz5EMrRCtA2KMwOAru9FzKOa16Oq2rnQDIIoiiE9frViMi17LnqH9yV4GH2AzY5poYSEn9AkJ4GWcmxMQlYsA6ixsFU0cCucGU/pyTROOwx/NG+seMGKTk1kzbtyti6eTWpadn4/Ak/9an/HMSN0IbVizEjIboOGQN8ubx0nBeAEBSXluHzJ7Bt8xq2rF8Z6xXg6FL+RMh0IITgQG01BUWlyMPa2x6rWLduHbZtU1hYyCuvvMKtt96KABoag0z5ZDljxvXFDEeZ+vFy/vHb80VpuyKjKC9NkOCJ1YvZYOmWmrK5/s37n04DlG3b4vtu5x2/z6PRqHr44YftJ//5hGyqr9GililanTxIbN+0haoGIcb37yMyMpzWvDt37hQuw9BHjzkpoKlg44R/PiKXr9zq+tVVpzJyeA/sUATqG+jWsRV/uelM8nMzID+X3UtX8/zED/Wc4p7itddeZ+jQIQBfyH9wehy4CEdCTltlpaivryctNZtdK16HawaDPRNRVY3mGYrYn4aw/w7cDCRjAcX0PRhWRuFGo4JVuEhgH6s+s/7/m0FgoUgii35czyfcQSqf0JoRRJ2O90fU/juhch9duYgqNpJBewzcaEAGxUg0lvNv9tGVJhooFeOIKoHHZeEqWkGkIR//rtGocCrhWAPkzyMPOukHSRGDyAyVsL78daan3sxA3914gkWHOAECJ1efawnaCptyXdFgSjZqihQJbttxAtw45X42EOGgM+BSMMgSRHTFpyax1knOdh6hOMGS7NUUqzSb7RFJRIFpSdgP+iQbfREgFEIphA1KE6Arol4de/BFMLYXatL9cOeNHOj2FJO9wA040aBgFFeDwhtf4UuNA/1t8DrvaZRg2vuCiCm5bpD4cUkBfxGEECjbJq+whAPV+1m+8GMGjToN23bqTo/l1dYPBUePfjdbNq5i2PFnfvVoSYs5zc5vTSAphc3rV/LeG08z5pSLkZr+P18loJRCahoVu7aSkZVLUuq3W/v/XeHAgQO8++67vPLKKwDs2bOHlJQUtmzZIt0JPlKTAmi6zqpNu6mpbeCyi0eDUpJIFLu2wXkhunV27djNf177yP1/Tz4BII5GhPuuEe8++OGH06wJTzyspB3SGprC4uqLjucXvzkPq+IAnyzaxIEDBwDn2pSXl+Nxu1VWdrY+avSp9qfLF4cnvvaG6/gh3RjROhtCEWzLWb0lpeYG//DAm8ycv8RVtb+WNRt3yQkTLhJnnHF68xi+6HrH/96191C2bFpDWmYOr789idyi9qGNjdIVrG0nsUpQFVHM+iJnWccLMcqfE+p3ct46NgqBzTa9nMXqPfqr8+hhe/CR853Mr0BQw05W8iKD+DUAKbSOmb6jO7o2Cjc+CunaLB9sxTgLrRmGnyyqxAYSVRtaqc7Upa3DyliJvmcgsiEXGevkJ46q53/k+EzATxpppOGK5PBp/b3sSphMO+tK7Ige0+s9eI2UEpREBV5NsVFXbBFQYAvaAWGhWCFhr1AkSugYFSQp4agBAolKMNICdMV60xmBDbhQJKDINgX5EmboNpXEDa+gtkLSUKGaiwzjlQUgEB5Qu3VIKoPGu2HdFbD8FEQrC7X3KrhtIHRNIdajqAUOfafvaQV3PG0RDVrcePyhyYof/Vs6rrLWrnMvls3/iIWz3qPP4HE/haSPAtu2sWyTmR++ychx5+DxBb7R/pRSBBKS6dJjIImJKXww6QVK2pVR0qE7lhlFavoxb/S+Czj8CsG6VYspatuJwI9E+tfv9zNx4kTGjBlDJBKhS5cutGtbYqcFUOs2bdd+cclo5s5cQV19kEvHj4JIFNt0ztUhzIEwDCKhJrlt5253r159mhUFv+/oR/x45eW7xZbtu0RhXhbVtfVEwiZGY5jFKzeyactO7fqbfht95ZVXzWuuudLdt08/lFIiHA6jlEhsiHisqqoDyuNxCSyFUk6DFXdhHnff9IRx31MfiAfuv1srK+uCbUVFt65dm4/95SJq0lnAFLRh/co5aHbIfubRu6nat9XQ9nsErdJgSxGJleAiigsI04tG1rOfFAppiwsZcwI0fEhWiPmsNWtJNArpJww81sF69W8LEghygEX8k65cSDbtm8PhR1MUbHHGzcqCotngidh6XpIjOpGu2gNQ2fotlLDw7ByM3pjfXP1/9GY+n3U0x+moxyRTpJIY7M3exDcpzuyH2tkTIQ4q6DtpACclX2wJchQ0KoEvtskGCR8qOGBLsoVNo6HoEYVkJYjGvpuoBMMtQZ6mCAlH/ihPCVxKoCnItARjhBNtADAQzNQUW22BOOzxUEB9CJq2EEtCZIJ8HNWwA7VOwfZ/wcoXociCzFh9oNBg7KnwyXyo3gPZaWB3gG6tKb/wBO5+X8O9BFr2HPzxW8iYlr3L7aFb3+EsmDWVlYtnUtZryE9OQAvEuRFvv/x/9B82jqSUz2s9+eUQ7yMgpUbrdl3wJ6awffNqpk95mRFjzz3kuP9LcPLREsuK4nK5v/gLxwhcLhdjxoxp/ndDQwONjU3RbTvLXddePJbd5dUo22ZA3/YkJgZQkagjihOHFDTV1vPxws2qQ2nbH+gsYkOJhd8PHDighSIm5ftrOG5wGZFolM3rttN7aFd+GwqLtJSA/sZ78835C5aZI4aP1EOhEIZhIKXUVq/brLVp08osKS6UdrBJ2kphJAeYPWkuS1Ztt55+6nHt/PPOOcLafZHxb+kgmKaF4ZI899Zqbvjbq2Jn3mUY7XpKdZoX+XYb7E8VSUJwgjJwEWQZteznWfbQjf3MJUIj/bmGSraygEnoVgO52lXMM3Usl0WehLKoFmv9++1BxdjxBbQniAmx2oMvxtG2Uihho5SG8FXT2GoSenVH3DXtkZEkDu9R8NXguAG6ggCpNO7vRV3BJjw5TbjLB8d6BYgWWzrw24IEHGOtgCYg1bCJRDX2RCXSZdNBQqp18CgWkKSgmy2a92PgGHcztk2SEs2rfAEMswX9WzL6Y2NoBOZriq02NDoKUGDnIchznAU7D1VejyspiNqrEBKwa7FmzsQ2KxGdLkEsDmLbW5T92nTB5KeoqErm763+YT047GCI4L/EOjq5abfHR49+I1i24GO2bFhJcbuy/0kDdDjiJKzJr02grOcQcvKKOXgLflMc3Edmdj4JSSns2LKWya89RZ/B48jIysMyTaSmHfMr4G8DSjmlZ5vWLCMrr4iMLKfZy4/l3JVSzJ8/n8cff5yKigoWLVpsBBvrxKyFa3jxzZn87dfnkZicgBUMo8VakSkFkUgUI8FLTXmteuS5Gfb777+vx3Xvf9jzEeqEEV3V5WeNktnZqbRpm49XkySkJHDc4K488sx78qW3Zup/6D5GgVPGuG/vXvv2v/3NnD93tqysrBSr1m5hxGmDCG3dg5GcoF5//SPRo8+QxvPPO8cLGPH2v59FRIzDsqzmzopxrQQbR8lvVUOm+rTyA+Fuepv6P16KqkxwFrtGlKB6k/XsIIUAZYzCzam4SGAuDyIxmMm9uEmimNH47STqZRYfSsXciEYraVGl2/SzBLr6Nlv1KAQSCyv2r6+551izHqE0grkzMBN24NlxPHowG6E01GFh+q86xngPg5VMo4YtdDTPJbDLINj6PZS9AO/evtjCAnWojbCgWeEwCrS3Ba1MwSJps1ODJlsQtI+sr7ABXR18K7asAIjvqyUCChKPMnITSLMFU6RNlWaj43QhrLEdmg3BViAguhPESCDFObhS3VFNdbBjMfbws0E1CGNLHVZgH/aZW9kTsCSVB4/zX+IA0FwZEEhIpqR9VzauWUZicjrpmTn/0+2DHcESjY+nvkp+q7a0KS2L/eU7MEhK4fX6Ke3Ui4TEFFYvn4thuBg44pTYWP77nTHbVmhSsX3rOtp27IHh8vwowv9xxEPnP/vZz2hqamLcuHEyMSHBnr1oraw9ECQp0Ycdl8N1voDQNdyF+TSs38Hlv/23uuTSy8ycnBzdNM0f7LyVsgENw+Ozu3YsUqdddoIM79qHO8GLanLEb+ct2ahenbLcPun088MXjh+vbd68RXvsadVimwABAABJREFUsUfsqVOmqF6dsvXzTxtozl66y/rtP1513yEVg4d0w9xbIy4+byx3PflhwqzZ8+TAAX1RSh1SdnjkWJzUgWEYR1RDRC1bRaNRIbM7KL2yUkT3ubDfKIe6KYjKDVCfhJveCOoo4jiSaEW8kr2Mi0ggk2n8nqH8iSSyAQjY0MOtsGzFtqhGuVCENRj5rVTrquYVeYg6wtgxwt9XXVAoEDZSaZiuOoJtJqLVt8K3YyxaU0aLkP/Xu39UjFsQop4NTAagE6fhIhWiGu5tJxAqmoQwfXiquhzVCWhpxL0KfJZksICoUERtQQAn9374CONG/2g4fNuWjsbh2yUoOM6W1CpnxqskbNEUlqYQtqK+SWP/FmgK4nSHQoA7E6xMVN2zUGRDcSJmTiL6/HzsAT0gzRJMPHic/yqr6FQG2GTntSY7r4jVy+bS1OR0uv4xMLC/bcRXo6uWzsHt8dG5x6Dv9oAtXva5BW3o2W8UyakZTJr4FA0HapDSaeD0dfTAfwyIGwFLWbjcHjwe7w89pK8MKSU9e/Zk6NChLFiwgMTERPILCjF0gz2LnqRDSR7ScNTPFRARkp0799O+5Dz6nXyrKmrbvem6a652/dCr//jjbpoWe/ZUCsJh3LqGagoTNS2Ux2BvdUM0I6fI2rZ1k3vh4sXS59HrPp72fmTtuvXy3Q8Xy8G92hhlJUnuRctW2xXlNbY7LQHdraE0r71sxSqjqqpStyyLSCTymWWOSql4KaJ66623mo4fc2KkT+9BZq/efewLLhhP+Z7dwjAM1NpXhFm7Cz2QjdgyA5a0hRXjoeFUXPRhHa9Ry2YUNiaKKIoMSvGRQm+uYRUvowATCxMojUhypcIvFWElWGoJpms29lFH+cWwMWNa/MT0+zQ6cAazuAcN+dWeaRFj8SuNYNZCGtu8gmfnKDzlgxzj3yI3/00RIYhJiHTakUAGBhoewIgk49kzhGjyWqIJ25yKAPHZsxOXMPYrSLEFWTh8gW9Dol8c5QecaEGygkJbUGgLyizBOFNyUkRygqlxthIUS0FhhaBoh6Bwh6LVRkXClilQORRelvCIQr2pMHNt9N8oDicI/vdEAGJwnABoU9qVxoY6ls6dxsCRpzSH3H4sK7FvDscj37dnBxV7tjF41GnfeS324UhISqFDl76kpmWzZP409Hg0QCls9d8XlYk7XJ8unkVWbivSMh1luh/bPedyuTBNk1GjRiGl5N///rdM8HvVnx54VezYVcWjf7uMtq1yQApcGSkUJHi5+3cXqMtv+Vdk27atHt0wZDQa/UEdgPicZ2ekqYfnrlVT3pyljT11ENHKAxgeF6o6yNRp8/WmoItRIwfLfz7+uP3pqrXua84faPzuqrGiYn8tn8xdKZav2WGVtC2Jvj51kXvRyu3RlWu32W5fMj+76nrjuFEjxF//+ldee+017rzzTk466SSklM0Rn3gERCnTvOjiK6y9O1a5fnHxcSKvW4m44IxbhWm3DXvd7rprrr8hYeWHz3kYcCvFbfPZPnc4TeUlxLvw+TXItvsRVNXI2JotXpNuYZNNZ2rZxkKeoA9XO43nFPSPaOzXbDbZgiYF+yTUWpD6JedQtTBvPnQU0EiIT3mHOrZhEWUfKylnFVl04GgtgQ/fI8JGKA1bC9HQZiIikox/2yloTZnfeNV/KBw9hANsR6FIog06MI/n2c9qBotb8DUUYrmriKSuRkaSHb7BF6QcWvY1/K6f6jivIP5vXcUW+rHxKSxOBGYCURTRmBaEII8GNqEqFbJSYm8FNVagzbQxg4eO+r/OAYgXUmi6TuceA1k8530WzppCn8FjvxdBkmMFtq2wzCgL57zPkOPPwO35ZprxXw9OOVxOQTGBpBS2bV7NpIn/x5DjzyQxKRXLMpHyv4gboAAEVfvKSe2Q42jR/4jC/y2h6zqTJ09m8uTJ7N+/D2WbYsKLH+F1u5jy8XLaXtua/Tv3csYZf6R9mzz21zSo3r26i+EjRmpxRcEfEvE5L2xVaBW0aqUO1DUYpuUYKKHg9vteUJvKo2RmpcoJE57m9NNPZe/+at3rFvKsC48nHIrwyEOvUt8Yif7s8p8JKVGNjSF520U3a3m5uSIjI034/X4sy2Lt2rUsWbKEMWPG4HY7pE/btpWu6wIInXjKGYws87vPvOFKUZSdDgEvU164jd/84w3j5JNPSNaidZq362giybeQkPw2WmMGEO9AZ+HRdFLsQj7gN1Syif7chN7caNYRBGrLWNbyFit4kU6cjUQnUcEoW2LrNhtNScgS1PPlHACFhY6GxAlRv89fMPAh8ZBGCcVcQIQIywkxmzsZzwsEMfmshjvxXL9UGqGs+YRTV+HZeTx6OA0Z9X9Dot9RDofEBOrYg4GfDJKYxVPsYTn7Wc0C9TjjxO8xq8sIeatpypqHb+fxLY7/OaJo38oIvxjxtsoO08Bx/Jz4qaO14EInSzl/Wc3BaIQtOqPEY7i0cdg+Dftc548qDVh76DH+Cx2Ag4I1huGiZ/9RzJ0xiWULptO974j/iRp12zKRms5brzzJ4ONOJzHpy/r83zYOPioJiSl0LOtHenoui2ZNxeNPYODwk5zx/hdwA5zwv8aB2moCCSkEklJ+6CF9JcTz1LquY1kWt912G//85z9paGhg8ODB1vTp07WAz0tKcoBde6ogapKU6OcP15/Ji2/MZP6yrXb37j1Di5YsC488boznkYfus9u2befWNO0HjfSkpabKhMRUpesaekoi4eoDIAW7KmpZvXat+PnVVzJs2BAmvjpRj1rKXL25Sm1ZtVUv7l2Ky6URCCTYJ598sta6dbGMRMIiMfFQytZvfvMbLrvsMpKTk5udHtM00TRNzJs7J3zDr36rThqY77n+5ycLV0IAGpuwq+po1TqXB353pqyqC8r0ZC+nzBrJotlJ7NnUkSRjPU2iG5ZyAzominacSDG98JCGxDgi4O6E5E/iI/5MK4aSRB4WkGXDYB0SXDbZCjLtQ82XiukHqhafSCQ6GjtYSJAqyllOCsX4yaGOXbRlJDouJyRODluYzibmUUi/GCVQHHIEhEIqiemqpb7tK+i1bfBtOwWtKaPFGL5ds2pj40EjSiMekljDx7zNz+nOJeTQExcJMb1+G2/5QBoLJxPKmY13z9BDKgO+f8QNvCNP7EYnDDGypSN1bMTknRYwkSAV7MFDE3uB4SBtsBdiqKsRnQ2sYTitIxVEMiTyQwVtDh7tv9cSxlYALreXfkNPYP6MyaxeNpdO3Qf8VzsBtmUhNZ13Xn6cHgNGkZGd/0MPqRmapjdHAyp2bWHSq0/RpddgWhW3d6IBQv5oVQTj0r9rls8lK7eQlNSMY371b9s2luUEGXVdP6SNb6dOnaipqWH8+PFs3LhRBQI+UtPSo27N1O743QXSagrjchkcP7IHvcva0NAY0nTD5Td1wcK5y8XV19ygPpnxYXP73e8bcaejXbu2Rs+ePe0Lf3mfWr99v7jlyhMh2U+n0lYqHJom0lJSufKKn1NVVS1C4bCuS2ENP/OP0cF9O+l79laJNWu3e19++VV++9vfNBv/lqS/pKQkkpKSmo9rWZbSNE1IKWv/fsddxuUnl/ouvvQk4TItVEMQIQRSk6hwlNxW2eSigYziWpEP0R2Ub2hDmf9tqo0SXFE3qbpNmlQkkomfzOaa8yOh0HDRm2tYw0R6cw06LmygICrJwsn+GjjGMZ6z19HQYit9G8cghIDlvEgl60inlASyyGcAqbQmSgiJKybDC505hzp2MI8HacMrmC2iAEpYKCXRlKSx4EPMhM14t5+IbEpFWD5sogg04lz6+MpWxZoCOVp/X+99IJBEgTz6sI2P+YAH6cv1JNOKBsrpz+U0YiORCMvAv3MMjcVvEspcgHff0SsDvns4jpALDR3YxSaW8E/KuIACuqEBB6hjKc9SxRYSyKeY4exGIEhHyYUI28bocBbRYYWQBCodqANjjQ0WqNOB6oNH/O+0gi0Q7xnQc8Aols77iM3rV9KmtKx5lfzfBNu2kJrG9Mkv0rZjL4radPyhh3RUJCSmEGjfneTULNasnM/GNUsYdeJ4gJhzdmTHrmMesRKwpmADhuFyRF6OYeJp3IDFDWVFRQW//e0t3H77XyksLOS8885j1KhRBINBevXqJaMRE01q2kmnnNbw0IR3E2+67nSspjCaUqSkJ5GSlSKwbQ2XTs7ogfb783Zal11+Of96+ml+CD5AzPFSLpdL/OKXNzdmphj20nnTk976YBGnX3E6ZiQki9u0iTz8yMO8O2myq6GhgYULF4oLLrhQHzxinJo86R0VCgWJRKKypZDRtGnTaNeuHYWFhc0pxZayw4ZhCKDmuaful3t3rfUN7jNCuH1urOo6tBbOrRBghyKYtsCQJqYVAbMRu+ptZHYQqSnSbRhrSZJMhVTEWu/C0Z8NgYlNJgXMZQuqhZsgFfhwDL+FwogZGAWUs5FylnCAHdRTjptEIjTSSDnjeAiJG4mBxEAgceOLhZqdMSSSRl9+ySamxNrmShA2SoGuNETSfmryJ2JUdse75RRkKAtHpBd8GAQBExMdPRZ5cJwSkxad877O9cdRGSykLfN5gFTa0Ydrmc8DtGE0PvzUYyLRHYfD9OPbeiqNxW8iTB/u6i5O46DvyQlQsblrooZlvEUDe5AY9OY6VvAvdrOIINVo2GxiDAeoIldcSS0JNBETNbSTUSNsov2SnHB/I7gm29AaRBhEHdjPKDjl4HH/uyzgURDvGZCQmEKnbv1Ys3IBXl+A3ILi/6ryQIeAprF03jQCiamUdur5Qw/pcyGkJCM7nz6JY9i/bzeTX5tAQVE7ynoNia2wfjzXJn4f7d6xkdT0bNIyHPnVY3XxHzdYs2fP5qabblKVlfuFshXt27fnhBPGcfXV17B48WJKS0sZMWIElZWVTJgwIRw1Lfdzzzzluu+WUxDRgyV+KnKw/YsKm+h+l7zh0uGu6/72Tmjnjh2e/IKCHyoaIizLIic701/UprP5p9vvNQf376ZL6acpbLKvotwwNEGwKUQkHEFKySefzCAtLU2kpKSI7dvr1J133qWuuuoq4fP5mDdvHjfffDP79u1j4sSJDBo0qDltEg6HldvtFtWV++ou/9nlrrr9W3yP3H6ZaFNaiKptOMT4Nw8u5jQKKUFZECiB1ABb94TISFmBr7YPCcEEfIhY/fhnz5/CxoXkI/5BGePR8DS7C05zXRtXLHS8ibnsYDYaBi6SyKYLRQzDJopJFAM3IPCT3rwP1eKnJUwgkRzKuNAJ/guFUBJdwuacB5lT+TZnb3sOvSmXgO0IEs3nWT7iVloznP78inb0pJJaatnBZt5nK9MoYRx59CaXHjHe/pdPE6hY/X+UMG/yO5qo43wmsI01LOdZAuSiWlrBWBWDiAbw7BxFOHcW0gxg1LWOpQO+2/eQiikphKnnI/5AZ86mHWOQGCSQTjtORmETIBcNN7uA7WIPB8Sz2LIOiY3tGgkX9AcT1CbQPmlAenxE75YYt9lEyiS4FCp66Ln81zsAcLA8MD0rn1bFdWxatwyfP0ByauZ/ReMg5+Uq2bltA1VVexk86jTkj4Ts6PUFKCwqJTklnU1rl/HOy08wdPSZJKVkYNsmQshj/vrEQ8Kb1q6gsLg9vsCxLf0b172//PLLeeGF/4iVn66pvvyyS1KltNmydadatWJR06DBQ4xn/vUvPT8/X2zZskXm5eUZ991/XzA9QXr7DuyC2RBCatIpqUMhhUDXtZiFUGSmBcjJTI8sWrTQUxBbLf8QDl1slS537N5v1DeG1QezPqW46B1qDgRpaAyKvfurVafOXeyamlpZXOwsCjZt2oRhGHi9XtGxY0f8fr96/vnnmDhxonAZOqFQiPvuu49WrVqRnZ1NQ0MDgUBAvPzyS6G/3PYX140XDXGfdOLpIictKcZJtr+cNygNpFFATS0UZs9AbyjDIuFLlZo5BqQJgSCPvhAT2HX+JvCgsZJ32MenZFJGNy6BmEiOi0CsbXDLbxHLOn/xuBWgCwOlQCpBMGs+KmMN/u1dIfwx+8JVBJD8kxMIkMMBdlHAQPrzKyZzNWsZTh9uZhGPkUQh2XQnSpA1vI6bRHLojImKjc/+wtSAwsKPZDYvYRLmTB4iQBpbeJ8MOtKZc2giGkuDtCAfChsjmINd3YFw2gpkJAEtlPYNxYg+HzY2EkGIGtbyJul0IJdeePFj4bD7c+gFMV0DG/BgYvtvQ/WthIYsbF8CbPwzLN8NYhrsmoX1wktYncsgDSgGQgr1niBV3wjdDh7/f8IBAJpDsoWt2xOOhFi1bA7d+ozAH0g8pl/WXwzH+DQFG1ixeCZDjzsdzw/C+P9mSExKo0vPIeQXlbJk7ofYwKgTzgdoNh7H6jU6ODaF8QOz3w+HUqq5BDY+zsrKSi6++GIsyyI3L29P59zGhIXjj+OiM4eQn5shfF6ve59duj8z45bsp59+mvHjxzNv/gL57NNPGktnPiCkaSNdOkiBTE2IxbMV1NY78xC1SEn0a2MHFvjeevc98/QzztTjY/i+Eb9nbNsUgMjNTCY7xUevstbMeOUv3P3P11XvvgO55dc3YpomEyY8zfTp0/n1r39NVlYWeXl53Pn3v/PgQw9apaUdoms3bDH8PrdeUVHOggULOPPMMzEMg59ffZ25efUc4+k7L9D69O3oOEORaMyifsn7VgC2DUiikSRSjXo0Mr5Ehb1DvKtkIyBZzyTac2JzWV095azldXxk0IOf4SYRN97YN+PlhC3TC1+BkR8nzCmB6Ssn2OY1jOpOuDeehjuSwKl0wYufBmpIpIAQtXhJJkI9M7iNEAdooJIM0hjKH/GQjETHxsQkjJtAzAFyCiBdsfSAGZMiPnImFBKNMILdLMLARwppTORWmqjicmaRhIcoTkldvCmR82WJEhbumk7Yvv2EM5bi2T28Revgb/r+aamWED8rDTc28/g3RQwlm04I3M2OmB4z+jYi5hBY2Oig54KRi3HuHJgyFzPyIbJiBXqPE/H0uQ57UzFhyybSUxK9VaBfqfBFd1EYnAP4m0fxP+MAQCwSAJSUdqWpsYHliz6m35ATYnm8H1+9NoBlOUp/773+L4aNOYuEH4zx/81hGC4yswvoN+wk9u7ZztsvPU5xuzK69HQEjI7FlE28gmH9qkVkZOWTnVcEHDv3khDikNLXaDTKyhUrWLNmDZmZ6ZFJL9ydsWHTVr1D23wG9O0Iuo7ZENTWLp+Vlp49oLyu7kDO8uXLmT9vHpXVtdo778wj2eciJzuVYFNE3XDbv0RjYxNd2xfxwrO3Eq2pR9ckWsBD17YZ2hMvL4g6RMMfhg8Rvw5+f4AOpW0jCz/drbLSFrl/c83p6HnpTPposfzLX/9uzfnko/CQ4cOCMz+Z6amo2OsNBAK0atWKjz/+KPTss/+S9/z2bOPks0bJA+VV4vaH3rQ+mbc5ev311xuPPfawtm//ATVuSKl47v5rZG5hJpgWKhT54m6AgFICDBMjYkMEVJIAl6Ji+1hKit9Hb0hDhZM+dz+OKJMjDBSmjnr28Al3MJCbcOFmPvfTnxvxkYYLT7OozZGjOdq/P+uQjusglMSWURravoiwPQQ2nI+wAgjTKYdMiKURArg5gxexY8kMJ90QQceNhpsIGinkH3KXiJjxt1EYCKrZzRL+ST796cE4ajFjbIaDcFb/grm8hMJmBH+gHnCTzHKepZINGHiwiJBBJ/pzExm0JhojHqKcdIB3z2Aait4hnDUfb/ngryZ0dBTEc/zxXokGGjawnQXk04cwtfjJxI2boFDsMBQRnEZOOTbkmJIoigAauoxiNCwhujmI+fZSAsPOw5SNyMxS9NITMewErH1O3UCkB6gc8LpraNdjMitePx94v3lc/1MOAMRfCJLO3QawdP50Fs2eSv9hJ6Fsp/TiWHlxfxnYtlPN8OaLj9Fv6DjSY8IzP3b4/Am0btuJjKx8dmxdxzsvP0FZr6EUlXT8QtnV7xsqFvLes2srRW06ouuuYyKiFJ+nbdu28dJLL6HrOuPHj1f5+fmia7du1YMH9PK8M+l97/oNeaKmLsifbzobhMQKhrnx9mf5YOZy454/NabPmDGbF174D7/61a+56aYbxaPPzGhaunyJu01RrsjLShF9u7Vl/tIN3HP3zzEPNKJrcVlYMHSJJiyhaZppWaYerzj4PhEvazz//PNpW1JsXnvddeqTBWvc5586lKKAlz/dcj6tCzI0qWlSs7bra1YuMa/5xc12TnaWee2115ovvPCi59G/XCjGXzJGiKawSGuTw32/P1eLpiTJc8/8vZgxY5bSNEGaL6qFLxgGmobd1EIq+csgXmzfFkgTyC0WNZUJNHj2I44qFHs0CDTc5NMPgclH3IZCEaIJFwESyEPy9Ul1B6FijDMJCIL5HxJN3oB3+4noofRYTf9BHBSykfhIOGzEzXv83HEJBBEsUsgkgXwmcg4HuJNBXEeQKBKjeU/xmvlGKvCRThpJVGPSj+vpwjl4EaxgMvO4n/acShL5WLFjHDIqW8e//QQaSibSZHnx7uuFI4z01d478aoGDxp72UqIWtwkspbXsLCJUscinqQDp+EnGwvYrSvmmZIq5TgAJbpNlsukb1RnsZpAol1JCh4qt7bG8lxK47o0SPwtShmIjRqEFYyVqDEgdir0T0J0CT7L0qJLiJiHlrH+zzkA4Bh5qWt07zuchXOmsnDmFPoMGRvTD4cfAwPdyW3qvP/Ws3TuPoD8Vj9s97VvH4JAYjKlnXuRV9CG1cvns2rpbIaMPoPEpDRs22ruuvdDQSmFpmlEoxFcbi++b9he+dtE3Em6/vrrWb58OVdffTVnn322qDlQZ7o1lVBduU+f8eqfxdsfLOaeP16CdLmYM3cVKUkBmpoieN1uRvVra5w4elDoxRdf8txzz71MmzZNlJa29+zbv194vZ7Q0iULa56f8Gjm1Jf+pKUmOd0BHb9HQNikdWGOGNEnTx97winWlMlvA06Z6vf9fGmaht/vJy01Xa+vb0KlaRiGhh2OEjB0rrr+TJ6bMFnomtBGDOgkn3vh1fBzz78oytr4vQvf+rMoKSlANIawoyZCmKSlJoBHF68+fjOvv7dAvPH+AuobguyuqKZ1ST7ySzp/lnLCu1bYRRQJA0DNAqQTqaw8UMLCpN302p+MS2lfyAVw6sR1dHQSyWMpz1DPLnpzDfBNZWsPGn6hBOGMpYSy5uApH4Z7Xx9kJKl5DJ95vp+5xefPl8LCjUYVe6hkHQGy2c48enF1jMV/kKooEHzE/SzgYY7n3phWv8KNFzdFJAK1bEfHQ3tOwYVxcPXfYjwKGywPgc1n0FDyKhHTg7u6M/aXIAUeJEuqWDGjxiL+Q5QwLgKATXvOwE8qILGI4CEldi7OdWpQUB07rU+jgh2axl5tBU2kkSFP4eJoEh9ZLlZtgnClAp8HEkB5gGwBC4FZCmlZ9Gp6guV542lKTHX0i1vgf9IBgFh+xTDoM3A082a+x6I579N74OjY6u2HHt3nQ8Ua/Myf+R6ZOQW0Ke36Qw/pO4Om6SSlZtBr4HE01NWwdN50otEIw0efhe5yYdv2F3Zh+67gEEg1Vi6ZRXpGDhk5hcAPH0WKG/8pU6YwZ84c/H4/V1x5Rai0pKDW1bguKzs9IOYv30h6ahKmZfLne16hW+di3v1gEUWFGTx+55WEwhF8AS95he1Ccxd96gEYPnw4W7duFf95/jnuv/9+t9fry7zrjr/aqQWFKly+WzfcxsFXuWXh9nu44dKx4s4npsiybj1D1197lbrwgnO8phn5XuYhnjJau3YtwWCQsrIy10MP3hf63W9/FZq/ZL3njG4lhLbvxdMY4sxx/dD8HppCpshK3++OmiZD+3YU7XqUQl0jmDbS0MFWKMuGxhCZmUn8/JqTcbt1duyppOZAA3WVtSSmJKCin98ISSmBpltougJLw3bRvBRWAYmotFm9axhJ7V5iU1MeJfVpuPhyRtxE0YXzeJXzOZl/kkTeNwtgN3fsE0QTtxEsehuttoSEDRchTD/YX8WMfLWGQY751FjEs7zHdQgM2jCM/vwSiYYVM94WUVIwmM9r7Gctv2ABkEwIkBixtEcECwMvyXhJPkKy6FA4wXph+vBtO4Gmgo8Qpg+jrvhzKwOc8D5AFAOD7axgF7NIIp9WjMPAG2P9+w6JOdi0UPI7bJ82ihoLaqlBioVU2C72iQYS1VoyQp0wy0+nDghKQApwCYRXoYSkb59HWN31HBr3ZcFijvC//mcdgPiNqBsu+g0Zx5zp77B03kf06D/ymMw1x6GUQkjJ5vUriYSa6N572DE71m8TLreH1Iwc+g87gap9e3jvrWdIS88+2GnQshDfN1Ew9jDV11aRkpoZ04H/4atKhBDYts3gwYNJT09j587d6sG7/2z99frRGZrsJRDQo6wNK9fs4ILThvLp2u08+swUHv3bZSxeuYUX35hFcesctXh9Q92U999PfO6555r3feqpp+LxeABEWmqKNvL4E+VNv5nQdP894/Wmilq8LoPmiTEtkpMC/OXWs+XY2cvcf3n8GbO0XXG91+tNONq4v4t5sCyLoqKi5nK97j16WNl5eeoP976I2+/lxFE9sUIRAgleEJLxpw9CC/jEonmrWbFmO7vW7SS/MBOkZMnidaQk+ilumwcRE9sGGYpwwZlDeeqFaeTlpBFIT8YOhz83CmArgdQtnl3Zmslrc9izwcP6ExNhVWwDA7AVFgaNWpBt0qYIcH/5M8dHOqO5h8X8H8dxV3xN+7km78jdxA2/xPTtpaH4dYyGAgLrLkVYLqTl+WaOxecg3s0vSoiFPMpH/IlSTuQ0HiGKgZfU2PlIbEwSMFjKe3zMbQznr6SQQ/0hCofxcxe48NGWcWSRQ9NnkAnj31DCRgtl4NrfnXD6MoTpRw9mHbUywELhQzETQTkGkmqqmIqXsfhFB9YTc5AlDLWdbn8mh4oPW0CeKcnTbPZbElOBs5ULxUQs1Zk69RARWcZo4zeI6D8ooj0Vehf22LDVBGWCCgr6dXmADfNPpWlxLu6ISbhBPyLX8j/sAByE07L2ZGZNe5NlC2fQvc+wY9IJiIuRHKiuZMPqJQwedSpu74+P8f9N4Pb4yClow3Hp2VRXVjD5tafIzC6g96AxACjbAvHdOwJKOX0Oaqv24U9IIiU1M/aXYyd8FAgEaNu2HT5/wO5akuLThClQDmNfNwzSUgJs3bGXs07uz+hh3UhNSyQzLYk7H3uDX/zpadGmbaln3rx5Mjs7m8bGRo4//njWrVvH3Xff3bz/X17/S1Fc3NozbcZsddnZw8QN156G1RhC02LPjlJ4NMmwEb1FVW1Yv+Ln17mfevRvzp++I/MRr3zQNA1N0/B6m7sy2k/885+uRQsX6meOHcDv7nie5Su38Ie/XIK9/wBCKHw+LwhB906tyUxLJMHvcVbzKQksW7WVPXurue6SsaRmJCMiUcxQBFduunNc20YaGnYTn5kqtmIr/0+2ZnHbpo5sG+2Hi4EA8C6OUL9J8w52VfSnNGEDsjEJZX75ChMF5NAVkxCTuYbjuBtPM6P+C9DC8FuuOhravIq0dRI2nYuIehHWwQqC7w6OA7CfnWxgCgqbFFqTThY1Lc5CxZr+7GYjm5nOYH5HN06iDvMIwx6vbQhSTSVrCaOhI5ujCEcfhlMZ4Kpth+UvJ5y+DG33ULAPahOo5tJEgQtBE/v4lHnY7EFxJlI62rvKydHgtyEkYKxy+PgtbbIA3AqGWRJbs1lp2ZjKheQtbPqSYwwjkeEolUnXaCp7VYhdPI3XyiVJChK0CpQ1nrIuM1m//USq6lrHl7oQG2dLHFsW7geEYbgYPOo0qvftYcWSmUgp+aFKlz4bTnbpoykv0XfwWAKJPy69+W8LQgi8vgB5hW0YecL5pKTn8NrzD7F0wXRErLmQUtZ3qsSnbBuUYs3KBSSnZZGclnlMkP/gYOj7yiuvZPPmzYwcMVLr16dn2LLsOGsRbJvGpjADerVH13VSM5LAtslIT+L0sf0oblMSmT59ujs72+kx7/V6efnll9m7dy/XXXcd4FyH1q2LeP+DD0VjyIoU5aWDdWQKTUVNENCpQ6FyGVJt27bT+fxbvD5xo29ZVnPlw7Jly+zTTjvdzM3LN3v27GX9+lc3Byt2bow++pdLxRP/92teevQGPpqzkptveBSpS4QUKMuCqInf56ZdcS5JiU6o1q6pZ/z4UQzq3YHaAw0gBbat0L1udq7aisdlkJqUEOMJfMFgJTQ1aTTlaVCIY/TjNWnbgfoYnU3Y7Kvugjt5LbrW+JUNrgLy6ctgbmUav2MzMz7/C7F2uEJJbFcdBzo8TVPROwS2nYp/89nIUGqz8f+uIZBEsMilNb34OT5SacVQgjicgDgUCh+CvazGIkQ3ziWKHjP+8a55cVMtCWLRg4upYyevcRFhQkhHSqd5uyN+lIYtFN7ywdh6E02ZS0CJGL3PQkcSJsguFvIxD1HOy0AiaGfh9hSjbIU9CNRvQN0ADR1hMzBVQKM4chUugICCkRaUaToeMRHJBvycSgKFnGS152wzlQ/UjexlLdv4hJ3qQ7bZj3KO/UvaZP6Nwj2nUBBsSxYHUNwB/BtH8Oi/vhvg14dhuBgy+kymT3kFZc+gW+9jJxIQlx1944VH6D/0BFIzsn/oIR0DEHi8forbdSa/VQm7d25h4nMP0qpNB/oMHA3EDPV3wREQAoQgakbRdaNZcfJYQPxcS0pKePbZZ6mtrUG4U+s0T72bSKR5Iv728Otce/EYBvYqBTv2UpWCbh2L0A1dpaamNt//UkoKCgqajxE/VyEErYuKSE7wiBPPGk60th7jCBEqZ67aFGbJob1LjA0bt1pKKe3bmC7btpvJmPHzXrJkCffee4+1Zu06yyuaXO88eR1zl2+1bvzL4x6hotqgsp/hTfDRoSSPt5++xXGK7IPn03LYcasrFXiFYFj/Tk7kIhJt1n7QgTUbd1JUkEHrdgVfXPevwNBtdKHAjh1mEeDFydNWH8wLFyiJVwgsPYwW/npzlEwBBQxkJ7NozVCOiFK1WPHbRj31xW8iZITA9hMQkWSE6W2eDismn/t9wMmn6+i4AYWvWZnwYO8ANxprmc/H3EYnzsKPpJZITPPQgeMK2ESR7JeCavIRdnqsLC/WwAkVq7iPv+vjDZdbDEYp3NvGEmr7Eg2mG/f+3ujAEp6jnl2k0YkSzqKRNLZIgW27MIeA6mwjvQrmCegJoh001Ao27YUpFowGEuGQeg+FIkFBD2srSqsgV7sYg0SyLYXfttHR2M4nRAkikOSLfgjlZ17KeRh1WWwLPYkHDZ/UaWOfz06uxc86kmKE0Dh+cgAOg2G4GDH2HD6Z+iqrls+lc7cBP3i3unjzovdef5qynoPJyS/+wcZyLEJKzXEESjqRV9CGndvW8dpzD9C6bRd69h8F8K2SBeNGcceW9SSnpJGV4xjGH37t7yDOAbjxxhv5+OOPefbZZ1m/5tPE7h0yxV23nEvA78O2bS4+ayhFeRmHfRmkFOzfXyVnzPiYYcOGN0c2WkY4mmWAbZtQOCKqa2o13eMmatdzSORVCIQUTJ28gCtufRKsqOjWM/itXgeAHdu38+6770YWLJgfqdi7T1+7br3o161Qu+Xn59JraHcy0pO1qspqNu/YS/uSfGgIohQkJgccB8A6SrTv0AQyWDYyltpQto0QoKIWGemJ/PUPF/LyqzN4YsK7nHfyQJJTE49KBDRtgeaP8tT0YspPjjG3bTDm2ZguiXLE8WPHFyS4FO22jsFKW4oVHoY0v3rKz0bRmTOZyd9pohYvKc7JCecYQkksTxWNxa+D5cW3YywyEmhe7QvAJMpaXkdh0Y3xmJ8XNv8W4azCLcI0EqK22fQ7/7UxEDRRzV5WUMrJLdb8jgn3oViByXIMLBaw136QIJNI4GoS+BPvEEVhcPCmjV90edQHWigdc9MlFLWbSLm1gt3VjfhFLzzqPCqEwSrC1Kh52HIIylqBFVkGBedgv++FWywYrKE9r5D50PAmVOyCCHFNwoM3nAI8SNaoxxhiXkualeWUKyoBaFjAJXwMCGrkZhbbzzGicxf0HUNIDPVHQ0MgHBFKPJi8zvvcTBZTaNkQ+icH4Ag4bYSHjTmbj6a8jEDQqVv/H8wJcHKZOjOnvUFuQQnF7Tp/72P4sUBIicfro6RdVwpbd2D3jo28/tzD5LVqQ+/BY5AtGvR8EwOklAKl2LppFXmFJfj8iccE+a8lhBAYhsH48eO55ppruPGG67V/rfyUX115IoGAD+l1cfzgrkedh3Akyv79VXppaftDohrhcFj9+tc31Ze2KYmcdubpEZ8/yedyuZM/nv6hOm3cEJtoVBOH17/H5mrEkDKmv/xnbr//RTFj8Xqxffs2WrUq+loRtviYpJQ8/fS/uO22P6m0tHRzw8aNRsBrGNdeNJph3QeK39/9EqmJPnp1K6EwN50//PIMbBsMXYOGJoenYH61yngVSwsKKZ2VvhToto2u4ILzR/HEhHfZVVFNcnaa4wAcdScQNDTsNHFQcG8JkA4YLTcUSGnibcgjXDgJtAjC9H2N3LsgxAH2sw4Xvlg5n0AoMP3lBIveQkSS8W0+A2kGENahdMN4eWFrRuIiEKub/+7v9Tgpzk0qEsk+PqULx3OwayCYsXMDMGk6bNwWGhoQZBMTiPI4sAXE9dRof6FW86LiknviOZA7wX0DqEYI/hHMZSASOZilt0EWgOjB1r0FJHg+pNrvZ5/pRYhPUdFJKNEIWiGEb4WOxbAzA373NJz7GPQpA6+FlSeRG2mO/kgEKiZqFA86VbONhbxBKaeQRmtQ8bqEg/CSBAK8dnf6dZ5G8p6TMepL0YB1TGUDk+nEWViEKOV4TuBxljLhkDn6yQE4ArGwnuFi5Ljz+GjSiwAxJ+D7TQfEG+JsWL0UQ3fRoaw3Uv50yb4IQtNwa16KSjqR36odFXu28e4rT5KUnEHfIWPw+R0S+sGSz6/mDGixl7+u67jc8ZflsbL+dxBnwF9wwQWMHz+eU089tf4Pl3ZLSUz0id3lVdzz5Ns8eNtlBzkBcSgwdJ2SklbRnJwcV/yeV0ox5b0p4uUX/uPv3KEo4YP3XlVNYVMcaAjbS1esF8UFGcapo7oyZEAn7Kh1hBCOS5e07dCKu39/Cb/407/sO++6h38+8Zg0TfMrtQtuGYV45JFHeOftt4Ijhg2L1u9fm/TJi08ghMCla+jpSRQXZFHf2ARJCdiVtRguAxDNTsnXmldNgktn1fItBENhag7UU1KUQ+uCLFwZyShbsWrdDjqW5CN1zYkUHGU/UqqDK/27gCCOA3BYhaRlOytZGUrH8lQhw8lfccRO1ncxjzOWB9FwIxREk9cTzP8QLZiFf+P5CMuLsD77OggEfjJaZkW+dajDogoCjTCQRy+uYCEJ5Did79CQCHzoLOcd3uMXFHM83biYRqxYWaCFD41tLGUh92GzAYQHSSm2+gjlPgNllENSZ1ARsPaC7AjV54JsQHS+GdLuBlPFUjoxCmH9Gjgwj6bISuxgDblFkkprF40NEUTWbxGpZeDWEe4o7JHwcwN6bkD9+mbUX7vC3XdBL4Ga7ig/SgQ7mMdsJqDwkkAO1Wwhj17sYx217KKcpfTkStx4DxVZEiZS6dR2fpTk8pOoro6gsYkmqtjGJwzmt2zjY0I08D5/pDUjqWQDcDDq95M1OSpiToBuMPLE8/lo8kso26Jzj0Hf20rPWeUIqveXs2PbWvoNOQH3j1Dj/4eElBout0Z+q3bk5LWmpmovMz94Hcsy6Tt4LOlZeQBfKSrQXFu+YgHJqZnkFZZ86e9+n4jnxV988UU2bNjAL6+9MrivamVKcmqAs66+l7/+6rzPNYKG61CylxDCLmyVW52ZlpA+f+kGfnHJ8eLK84/DtizxnzdnU1SQSZvCTLCPrqOhFIiISXpqAl3bZ7Noy17Ttm0XcEivgi9CnN3/1tvvqH//64lwuzaFWsXOVd77/ngJSVmpEAo7RleX5GSlIPaLg/l6+6BEy1eFbdtIv5cP319IYV4Gc5esp0NJLiOO64MIhpC6pHLzbq6+aDSPPTuV1Rt20KVHKaqx6ej3hsJ5+4aAtRAtlLAMqDhIPWhl2PS1BC4U7BhHQ9E7aMEsZPSrCE45ZjVEkACZNOXMJZK+GKO2lMC6yxG2jrCNL95Ni2Ef+n/ikL84n4jD/vbZEECEICEOkEzOIYx4FduHiwDptAPAwiYRjSVM4g3OR+IiSgPb+YSlTOAkHkRDw4XNemYzlfF4+SUZ8i4q1DXQtTuMvh58HrR9NmLJcszaBug1EG7x4CKC9q7ACvsRhjjyEVH9QfVC2CZRCdQtpdCuZVegP01GKs1+rwC6AjtB39YZve9bNC1+UplZnYS8/2GUNRqFiQudPSyhD9eRQnsUEoUV0y6wkAhq2cES/o/uXIKHRGemhUJXOrtL7yBl94lYNbls4v+wiJBAPv25iUQy6Mx5CDTKWcos/s5AbgW2Np/OTw7AZ+KgEzDqhPOZNvkFFNDl+3ACYnedaUaZ9dGbDDnuDAIJyd/d8f7LIaVEutxkZBcw6sTxNDXWs3rFPGa8P5GynoNp16J18hcy+WPXZv++XeQWtEHT9GMu/G+aJlJKbr75Zh555BFcLpc6+bQz8iqrasT2+U8w6Znfk5L0Gc6kjVpbmbRP2XbWoZ/bbNm4IWLoGg/9+RIuO28kunRC4H++6WxHXVM4q+svcoZ0iThQU6VJKQ9Z/X+VKopwKMjS5WtdVfurpMJm2qyVlLbOQdclViwkH45GHXVPl4GtvlnJkxASIlG6dy7G6za49NyRaEIhTRNbCEjwMfnVjxkzrBvJiX5M8/MqiBQWMfr3XpzfPtA3KKzGg+fvFZBta2jCxja9KFcNCPtLrMLjf3W65m2S71GYmcCB9Idx7+9FwpqfI2ydb9rrXiBajEPEwtnxjoKi2YB/3jglAosoH3Ere1nBmbxKBm2wUGhozUx8GxsDqGE7b/Bb1jMpxsF3mgYBzOchFvMkJRzPqTzPXlbQhpNoy028oiaCCqGyTgCZDu+D1Rt4ZQhkKIQtwA+RV9zc3w7OPQn21YB+tJtGGICBbYM/MJDFH76DN3EtxV0GOmfdQh/AtqBtiuTFlX4maNeJDb4r7JoHzhR2Vpog0IvayhfJ5QB+inDhO6oIUC7tWMCjhKnDRxI2UKcqmJ/xc1J29WV54zNUsJhU2pNANiGqaWA3q3mZfPqxnTnoeDiVZ2NKhD85AF8SzqOm6TqjThzPtEkvIpB07jHgOy35sm0bqWm8+8o/6T/sJFLSsr74Sz/hCyGEQDcMEpJT6T1oDD36j2TtyoW8+sy9tG7bhW59h2EY7mZ9/8Ovb7z2PxwJ4XL78AeS43v+ns/k86HrOkopZs+ezcknn2IfN7BTfeciPbFTuwKSE/0ITTt6GFwI9tWqyDMvvZ948cUXxz5yzq1i3z552c9+nhXweXj8uamMHdGdgpw0VKwZFfD5YXWlwK2zZcM+Pp6/UXRu21oWt2kXKcjL0eob6rWuXbty7733kpaW9pmptnhUAwjvraiInjKqa6BHWQc14eVpYsa8VXQuLWDUmD7ojSH2by1n4fKNtC/Oj9lDdcRwDi+JEjFi3NGupoiRANNTE1p8ANjKIQbWBTnrxAH48jPY/twHlLbJdfb1GTbQUgJcIFbEps0AaTur9fhIm1fDyvnMVduBaMI2RHWnFh3qDjmr5jMBMAO7CBe+z+b9bzG0/kHc+woQSueb9bd3TijIfnazmBSKcROggQqC7Gc/G+jMuexhMR0ZdxSZ3ZYQMfGcRMbxKB/wa97gQn7FfDazhmX8i65cQi6dCWPhxqCecspZTh698ZBKa4Zh4CVCI324gpncwwz+wt2kkqyNIVkcxwq7NyE7BcbchsroAxEL3tAgmZi6knAmWznXqzAZclyQlQFfGJRSNq1POoFpk17AtddF2069D5spWLUXHpwPa06TqN8mSPsKF2JnCiryH3RK6MZZBDA+sx9CFOjDdczjAbLoQiZd+TTzT/QO/pGMxp5M42+cwnMkkUeIOkzCbGMGxYyhgiW0ZjiZdETDOMJx/MkB+EI4D5Om6Rx34nimT34Ry47StdfQ7+RotmUhNY1Jr/4f3fuMICe/9XdynP91xEViunQfSKdu/SnftYWpbz6Hpkl6DTyOzOzCFls7j3Jc+nfV4lkkpaSRndcKOHbC/0op9u7dy/DhwwmHw1RWVnL3XbdVDGsXzgZbIEUsqWwf8p3mf9uCbXWZlStXLM979JGHDzHEKalpasp7kxry3NsCt937nDZn4TrOPXMoKhxFfKl8uoCIRW5WMr26FLFg5Q7x5F/PcfXoXmbvDwYq35o6zz71tFPTX3rhRZlfUPBFfJtoY311MDszOYAUdCjJw2XoXPeHCbyUGqD7iF58/O4cTFNx5kkDoLbe4W0QS0UIEJpCiMPXWwLsWNhXcdRURouJO+R/bcvGlxxg6SfLGTGwMwuXbSY7I5U2pQXYwRBCHirBYiMcwt8GnN9uENGD5X9Zuk1JLEigECBs3OVDqC/9N0Zda0S0pZhi3NQ4jkI4ZxaR9OVoDbkENp2PFt2IS7Vq1pr/JpAI9rOBhTxMNy5lJ3PYy6c0so8kWtGNi1jEo3hIYQWNdOVMoliIz1TbA4dSqFPEUKrYwN8oJUgVOXTjJDpgAvv4lKe4HAMfURrxkcGZvIQTa3Bm1kDSj1+TTTHlejEbxadsjS5H8Tq4BFQUwADgEg2yDvXLhNPbCFsevLRfKmokHGreyBPG894bz2C4fRSVdHJ0KZRAkxBqglA2WGm2EzwQBbDlNggNxhAd0VVcPfPIG07EihPTKGGMuIsF6hl2trqHgTV/J6GhKzbQh2tYzD8ZyC34Y6WSnTkXiUYqxUi0z4wa/eQAfAUIKRlx4vl8PPUVli74iB59R36r+7dtx/h/PPUVWrftTFFJx291/z/hSEhNQ6KR36otuQVtCDbWs2rJbGZMnUi7jj3p3GMgum40GwWApsZ6klIyYqVxx1b43+PxUFBQwIcffsiQIUODPfODWUgpsRRYh5YZCUDoTpW0GTHVppqUiief/ndup44djxDCcrsMMWjICP+8j98tl9j5O8qrFFKILw7zxhBju0ciJsP6d+Qvf7oCLRJB6lKmJYXSbr6wh+lSTU33PfCQ/4H77+XzyIFNjQdkqKFa1zQXPo+LxmCYmtoGIlGTrdv30y1qMrhPR5av3srzr83gwstPwNpfi9B0NE+EZXvS+dP0zqzfl4CtQ9CjE62TlCXWcuOwDYxttRdNs8H+8o6dlALCUTq0ycPj82JIeOqlqVw9/nhadcinqkoSjOrUR3T0Jh8HmgwwQFXhVKDpoKIH9xcQ0CkicasWHfWUQMgoSjMh2vLoAsu3l6aC91FGHa6KgSSsvgqhJA2qigC5xJ2DrwunFNBkOc9TwxZGchcGPrLohooFrp2Eg8ZI/kgNe1jOc7gQRD/n/ohTIdYznTe4iBSKqGM36ZRyHHdhoLGJebzCWXTmHMZyF9P4K2EOkIhOPSYiZuBMwI2fzpyPy9ZZxQKU8CNUISrJdDYoBncU3M+B7QckqF3gqQTNgrICKBkSO+ev8FhLTeP4k8fz4aQXMdxe8gocASAQNIRiPrcSzgkHU6CkG6y/CKrj3Xk+/15z3jUu2nVpwLf9b7jq2jSzLtwkEiWIis0A0KyCGP/dkqHREj85AF8BzkpPMHzMucz84HUWzf2Q3gOO+1b27ax4ND5dNhevN0BJh25OqdFP+F4ghETTJAmJKfQdMo4+jGXn1nVMeeNfSCnp2nsY+a3aUrV/D15/AmmZOfFv/qDjjiO+Yn7nnXdYsGA+s2bPagxYOy2PbvkO1RoVzb927a7m9ocmsm1PrTlv0WqZnZObUVdXJ956663YNrGq6oPpLk0P5ATWbCxnwiM3CysYPij5+yWhACkEhtvAjkRQtkJISxiugO32J4Ubd+7y8xnLodgY1LKlS4y6ym3u/j3bM3/ZBjFn8Tp0TePPN57B6ReNJLJ7HzntC+jeqZh91XUgNHTdYs2BFH73amdmVaXTeIFOuFTGE9YgYHpFBos/ScH9gU2BJ8ijxy2nf2EFVtiFJr6E+VQKqXkQiXXcPfdXvDv7RSaEShCZg8FnIpLB9Dm1/k1nS2f1vwrIBRqAsGPs04CutsBHi8Yw8TRAxQAiqSvxVAxEKElT3nSiKWvRgln4tp2EjCQSb9UrgD0sJofu36hszynHM1nKU2zlfYbyNzwEsFBI5CGre6fRjYGbJASCSfwRHym0Yhj59DhEP0CgMBCsZhuv8CQeulBHHYoUKtnL6zxJlD/RxDZaiwvoq+5gPq9TwTLO5y3qsaGFgbMBP4oVaHxgQ5gQiBRnYJpCJoG9G9qthxtzoW17OFAPJYOgOLaZlAfD/tqXfLTjGhkut5feA45n9fK5eL0+ktOzAcW9Twu2nAAiN1bpv3UjtB8DOzzEex58/qEUtjCpL3uEhM3noDXkxz/FQDKdv9OZs3Hh/1wnTyGoYDktl5U/OQBfEc5qz2bo6DP55IPXWTh7Kn1iOvRfF/HubeU7t1BZvoNeg0b/xPj/ASFjOe1WbTpRWNyRcCjIyqWzWL5wBnt2bGLQqDNISctyXnbHSPg/Xqp38skn8/SECRx/3PF+v89nPfDXXzSeO7azX9cUSMEzL32Eadls3VNrP//6J/aZZ57V+Psrz/BHo1HZu08fuX3bNsrKyoCDDoAQgs2bNwdvvvkmc9OGtYE/XHey0pQS9tc8dwXNynsoBR43G9du1eYsWu2++KKLAIR2mJpgCyekafqM2U1NwYa0C648WZ1dXiX+8Ztz2BsSPL5yEL7rWpFTqLNvxTROTaziwV8OhPp6gpaHh+e04e0OuWhjYiS8w6PS+YK6sw2EVOz/xM3fF7XnIV+INql12FEd+QVOgAKnu1+dm2gXC9vXnqpZ02CngNTBEImJywSBj3FWpN2A10FujjESBLgUZFqOWW1JskMoXNWdOdD9LifEb/pwVQzCu3sYzlJWHjYeRWtG8CG/Io++GE49wVeGAqpYyz5W05ebWMnzbCaNwfwG8xD1PGecFuAhmSH8jghNrGEiy3iGPHoATsZjBzZTNUmiWM1m89cK+UsRdPcB80awPgR7H5XsxamRLKKWBKbq26lkNgbnqRVKEz0tk0isdv7gSAUQpY5bichVCP8/nWkp01AGaO1glYJgBQwaBVELjG9B3iUuvpWZU0DV/tZsXLOU0m5DSE4MIAoUSgjELcBqYGsIhn4ZSeVY6tHVQH2HCQQ2nocWzGn+q0BiohjEb1jEP1nI44zjUQyObNKkUDzLcJIpYiQnNH/+kwPwNSCEEx4devwZzJsxidkfvUmfQWNxuT0Hk4xfEvEXWygUZNGcDxg48hQSElO+8n5+wrePuHKg1xegV//jkFJjxtSJLJn/IZvXLyO3oA2duw/E7fEeE9dLKUVycjK9evdmydKlVFZVaQvXVvm7Dy4pV5H68MZP56Tf8fgkb9i07f79B7Bpy3bDZRhJLZ2YuPGPY/Xq1er0006NJnil57qLR8nz7jsPl6GBaR5R6//1xgzCMCgvr5D7qupco8eMxbKsI/L/8fK/T2bOMt6f9Jq4/eYzINIkysM+Hlzek/dmZ7FzdAJNd21ny8odyNyt/OeZdmTP7M49l21i1boM5qakQ18cwx+rwTdW2hiPKCwXmL+UWO0ERAXaCMXkyhzazAxyx7hP8etRlCU+9xKbpoWRlsgjD09i/tQ3oLEYorXAUxCaDXWpUNEJGreClgZyJMzyQj3YlohJADh17IHYutqMGQEzsJNQ3gyUFsQ2GkjYeCF6Y84RRt/GopbtaOgkko+BhyJGsoJ/0YMrv3IkIF6mt4EPGMVduAlQyCB2s4D3uJGxPPA5zXQkHvx04iwAJvFLkmlFGwbjlb2JSPg0ug+BJZQ9GtERtN5/R3x6AVb6cNRi0Os1pLCpDgn2hhcBdUjOFzO1CEoz6Gm17KhnoaHTIP+PiN2EHPAe9kk27AA9KBGLwaoCdRk8+Dy0XwUjO4Npfwbb/ytCSoltWXQo68Pcj99hw5ql9Ok3AJmkw9tRcLug5nbI6wQvlkAVB2s+j4Bz3W3vPhpKXiGw4QK0poyjbCdwkcBAbqaCVczgdlJpTXcuQ8aqKAAqWE45y/BzqIT8Tw7A14STI7UYMPwkVi2by4JZU+jRbwT+QNJXqhCIb/ve60/Tf+gJpGXEPLyfjP8xAxVTY9y2eQ2pGdn0GTIWny/Azm3r+XjKqzQ11tGmQzc6dOmD4XJ0y3+I1EA8b3/vvfei6zrPPvssr7zyKosWLcqJRBzzctc9D3DaaadpX0YWORQKcfPNvxLpqQHefOJamZ6a6Bh90YIp9bWhYuNVPHDvy/z+vjfUvffcJeCgsW/e8iD7n3nzF2qF2X45/IyRULWJ+Ws78OD+EvTHwNy9B/79KpRXYJ92Gtrsgdz7vKDh2VQ6ZtexVkuEdLBt0fzSteYIzGoJHUC7VCGuA3UeWBGBcbbNw0+1If2jEH88aTWi6fPnS0oJTWHqauoxOw2DpdXQ93SY2QVmBZ0ks/U6HvJws4I0BtPIRKKsQkfDMWAKH7cgSCPqK6cxbyabzRkUWSNJ3HoqIhLA8lYSzpqH1jQ6ptqniBJiEY8B4CIRizCVrCGFEhqo4AC7yKUfOXT7SlcpHv6vYwduAs1iPfn0R+JhMr+kHSdQwvHYR3EEbMDATzcupicXs5/NrOElOqjejgofEvA4bfHMCLYnD/uhPORzIBtAtVKEMyTaRwqxuA4ldmOrK6i2qpiM4n1WM5CrGcWNNAJNQBNNQBuUTyLWWFAH1g2g7gVSQBewKQkmfeo4ALr49p5YqWlYlkX/YSfzzuv/pn67l6js7ZTHukBtXwa7bwWRDCoWiToCzmishB0EC99zjH845QuiN5IsupBDF1byEh/zF4ZwqyP8hCSb7ozjYeZy/yHf+skB+AaQUsO2LTp3H8CaFfNZOGsqPfqPIik57Us5AQ7jXzL5tQn06j/qJ43/YxRKOeHZXds3kJGVj9+fgLJtClu3p6Co1AmRb1jJB+/+h0ioiTalZZR27o3L7flaSoPfBPGV8z/+8Q8uvvhi/H4/+fn5HB5S/zLQdZ1evXpy33336n1O/h0etwuXoTHh7qvp3a2kOWSNkDQFQ8xcuJY2hVmUtMlFmdbn3/+aRjgS4ZmJs9Ttj75tnX3WGdo111wrwuEwbvehUrTx/fz7mWe49ZZfiYvOGi7VgQaElAhLgQ5CWIi8XFROHrjcMGgQiiiMM1ixPJnKWS7seIVWPO8PiDTQ6m1MKbHzQdQ6WWwMMG0JV8Dfnu5A9zm1nDBkO001XrypTVz+1ABe2F1IRlqYqA3RehdPDHiP3Yuf47TjOrN4/dm81SsduUNhGwK6ehEBG+W+GmPbWlz75+FLnEWGqzu7GpbQp+Eq9CbFJuNJmvzn8r4M47Mzydw2lLToeQQYgMTAElH0pgwa/btBmtRae1jHu5g0kkxrOnAmLnRm4tSQV2Oxk1voLZ4jR315wZ/4pa1iG4t4nD5cF5uyg9c0j+5k0Zk1vM4UbqIbF5JDN2zUUSICDps9mQICdGGCOoOoVYnDBGgLBaAKQfmAnmB3AxTIJ0H8B6xONdD4CaytAuMOlO0napkkUsRq/sx6HqGAXxCkiX0iiJCJqBCQApwNDOHQvrslsHET7K6CvLRvJ4AXjoLbgLPv0Hhzm0VKq0vo9PYEtlzgBX9n7F2LQdchI9EpAbXBFVSYjQIVV4WMNWaKpq0glLEU/4bxyGjCUYy/4yTUso1nGMpAfkNvrgYkXTifvXzKB/wWF15G8ncEGl25OEYIrW3ey08OwDeE4wTYdOzaD58/kfmfTKJnv1GkZ+V9rhMQN/7T33uZ4tKuFLRu/z2P/Cd8WTgNYBS67sIT52bEDUjs+rZpV0Zx2y4IBFs3rWL6lFcINdaT16otHbv1wx9IBL6DroSfg44dv1kVia7r3H777fTu3Sc8Y/qHoUEDukduu/3OjGFn3yZPH9uXZ5+8GbMuyNJPt3D3P99iy/Z9rJh+P2bYRP8ccqBSCmUYbN2xn+de/VCcf9aJ1kOPPR0EEg9n/sfJjfPnz+e2v9yufG6pXpq6USy8oYqfjc1ndOL7XGroPDOhF9lhC7l4CPtaz8Fcugy6dYe1MLx+HyXtGnkt4pCnEBBbcGOdLRAZCu8zFjRCuF1s3PHOyRLIg5s/KOPapd044HehNyoaB0oiN0l2a25A4np3Cufes4UXrj6L7HYJ7NsMnAXqPQEVwHRQK5x9N1BKvnEnTeF/Ezbf4bSEcwkUriTs3kdB3WAi5ZeQGC7Fj49ZPMQ2PiGHnhxgGzO4nS5cSEZDMlvc77AzupGe/AyLKEnkQyzsWwssBZxehW6WKcF+DUZZh7UbOAqcVb/Fcv5NkH2M4K/ozfyBQzPuGgZdOZdSTmYZ/2I9k8iijM6cHNMA0FDYNLKXPSxmDa/QhMLDWJrIQ/Aiiq1OJ8QSBVEQEWAHqDZg/1zAWGBWKkSfg/YK8gTsA9ZZVO3VoLE9NCxlJzaOwk85eC92Quz5GgxqHizUQ9IsqH0Wup/kGH/L/hL1/l8Gsalxp4I6TVLTCWary+j+wFM0bmhH7bz7YPe1oNoTp0vmGDYBK0a2FQqpBE25M7B8+whsOgfxGc2fbGxcSN7iUgQa7RiHRDY7Cll05kQeYiq/IkQdXlJQKEo4DpjYvJ+fHIBvAQ4By6aopCOJSSnM/fhduvUZRn5Ru6M6AXGhn6ULppOckkmbdl2OGTLZTzgUcQO0aukc/IGEZkftaKV/8WvYum1nWrd1mjZV7NrKgllTqK+tIiEplY7d+pOVc1A/4Fi/7lJKTjnlZO8pp5zsBTh+3Nn2zp07qv7+t7+5ex93q7esXZb2/szlJPm9zH7zr6iohfY53AClFAkBL1tXbqL72F/Tr2sx543rZm/euDbYrrRjopCHVuBLKQmGo7z13gy2b9+GJ7lQRmt3sGHxffx6Z3/+b+8KSrtXkO3zc/Ogcq65ZRPnPBJi3oPtSGyt2LlLUXRyIwUJjRA6LBYTC4qYwyXm8MMG2iJgEjlOsqFfAvigucuswlmt7Qb+9AnRHYvh/y7kqk+K8NwSoub3LkgGdT6wDmQ/h6eutgp0PURD2lLSU03SjW6sOmDTasc4WjUlHEL8i2AxgF8yh/v5kF8TJcpY9TAVLGXBzgVUJc7lTPkhHjupuVrg0JVi/GxNdiNosKBJVyRrNp1sSVa0pTG3sYhQwQqyKEPFuASjuZ1Iy5DJUWADLnz05zoiBPmUl1nOa3TjTGygnkre40Y0DI7jT4TI4S0SqNHAowI05TwBo4BaAbmQ9gpkzoKtx0HT6SCKQBUBFwFrBfw/e+cdZ0dVvvHvOTNz797t2V6yNb33hEB6aAFCr9IUsKD+wIIF7IqoiIp0RFFAehMSICEhJJAe0nsvm81utrdbZ+ac3x9z724CAQIGBcnDZ9ns7i0zZ86dtz3v894FxED00Fi9Qe3Nwlk3H8TXEO4WjXsJelKZINMGwwI/yAUgCkHPhJ+Www1Pe7V/gI/YyPK+SGx7EQMKBOLbLmqBZseg00ndcS7BBoGt++DHM7zuIauqhScCHCqbhdaS5N3nvu9sBh1XSdzBAupYi49uJJH1LjqB1zXSk2lUs5wkMqhnM/0477DXOu4AHCOI+KS5rNxCTp5+Ja+//AjRaJgevQcfVl9KDPjZt3sL7a1NjDhhqkce/C/VjY/jQxCvdbe1NJKdV+Q5e0oddYtmQfcKCuJiTsGONjasXsSKhbNBQ3FZL/oOGkkgkOqRvIX8VDoEruuyf/9+srOz1T/+8XDbvDmzfYaIWeefOsxI8gn2Vdfxr7/+gLQUr6dZiMNvRV3QCDSRqE159xy+efXpPPr8Am780X2Bjsjdvsuv/krs5lt+5LNtB59lopXL8zNe05df/W2Xwp6mccZFImKGwD8GNXEifOMb7HwNeGwJZ6f8icjmGD96q4EJBdk8dG0KBcW7UBGFzLB5aX456cKmTVlIQ79HBfADYeCpxnWeRtxHcdrguy/Ahp3ovK/CS6W0X69p/1p8HZRC2gr9C0H2t3ZT0GcFSYXNOA0BqhtGsGbzNeg4ia/cVEy2FGWORGiPzOfDYAkPkscAejMdgYGPVHqJqcSUw+CCXKwOM15LP/zuoTrz3Qam5WLIFlqj3VjnSHAMmiyHk3yK/Jiklf3sYwGN7KCUcbzNrzGw6M/5cYLd0a1VwhEYxGVsYyabmcUgpmETJo++nMgPSCFAQ8JdUU3Y1qPQMxM6QKSC/jqMeRZm/gXunQs//DGo6aDCkLYKzDZPRyc8DMIlBpHxIHafgfGjcmish8x+QlWWQ4tClFvoATD2YTi/AmJ7YOg0OLVfPCFwjAy/43pbIhpfclc6oAx0+DHE3ido23UQv/8SygoHQ3Uy2THIsDQOmgrAEgqtNW29H8dqLydQcxIfLNOsEQgitFDKBII08AhTOZXbqWDKIY/SlDOZ+fycblSQQi4L+CXDGdv5GKH1v83mOY5DcGjEP+PZh+jZexB9B4/udBCEELS3tbDojRcZNX4a2TkFn6is8HF8fCSuSzjcwYZViykp60VB94pjdr2q9mxly/rlhDrasfwBKnr2p6LXIKx4GlxK+akRGaqurnaffvLxpicefSD33l9/lWAwxEtz3mHrzgNcds44rrrsZFQ02qm4h5CHFVW11gjLorGukdXrtnDy6RMgHIUUP1U7Djo/vHNWuCZpbFpk4A2ojhjNLe1q26u/wjB3S+vXjxA5JQNaa71Ca0oa5GTjDTsXUKcJzJOYc94mOvvbBAZ/hUuv+AI/GvIG3TNiCC2ImZKbnx7In/J6Iy71qGxHTYjv9M3j/2huhpp6WDwTa8tY5IGxRCs1vtUO+ocad6wkpaGOwi0rSa85AAGX9tUV7OsYS/iVTNh6+Msn9PMHWIrpjiQlTg6L0MIi7mAsN5JGblcJO54qDhUsQjgB/I1DEVri4gCaMI3MFo9Srwup5SSEcSdSKhx7FHAWXhrjL5QaISrdGBlUUMZ4UinCT8php/3RoTERNFHNah7iNH5OFDjASjbwLBfwW3bi8KyAOn0nIvc+9HlzQVUizlTooZLLX4LHbvAu7a4m+PqT0Dcbfn0xpEivdW9fG8xYDvdvgJ2ngDsQr+bxByAbRCvI88Atg9t2wM2XHDu2fwKRGCT54MIfwfO7Ib0PODUOXGwSeelJ1L8ehW63YdYOwzkIvcpm0s0JML5mPFnKh50oqkiX1v4P4K8dh79h6Iesro5PEFzG63yHy3mVEI3sZT5N7GASP8PEf9i1O/RO1U4do59ZAMBFF110PANwrJEwDEq5TL/oy8x5+TFCwXaGjp6MYZq4rsPcmY9zwoQzjxv/TzkS0r8bVy8mOSWtM5L/96+X9/EsKe9DSXkfAFzHZue29bz52tPEYhF8/iRKK/pQ0WsQfn88opQSKY9B0/JHhOM47tLFC+rvvvP3BQ/d/nXGjOiFdhVTJg3z7tJKget6REPtgi8NssfjRIOA9IYxmSbKdUlPdTmh5FRICRBNE+zdvkv//sEX5elnXpw6ZtoF/G3mo9z+xL1Y2pVi8kjUvS8R0QJsDd2KvXr620CKhhESMoAcRfhSDflRaKnA/no+D7oGy56ZzB3TVjGl9CA+V/PTCzbT8ZzJQy9UIs6PD20ReNY3htefb9PlGHgt5RhVoDJAV+DZzuoD8MWrEd+4AfeO0cglUXIfriHPXEtgfS2izqUjvZDqIaPZNn46AMaroFM0+DUSMBBxc90FO/6zJ/BisIYXGcxlJB9q/AG0QAlNUu1JtPd/CKulD8rxsYL7sGlDYHGG/ipL5VqUmkGd+3scV+EpDz1AMkspNs9iovldSt3Ee8Zf+pD/f9yMpOcmSUxSCMfFaixScYjgAC4m6BXA95BplyFClTjdYjDdB5sBw9tWEQcqs2DWN7peV2vPiJdnwLdOg9G94GsvQPgpaBwOzbcD9wDNwHCgqkuAL84XPWZI+OaplSBOgWCti0ox0Q+sgNmPwHm3wbJhOAddpNRs33sWY3r/EzN3De7B0YBAmUE6+v+VpH3T8LX0Poq1dfFjMptvcT6PEaSO57gYhxgn8X3kERge+pBdFjgslXW8BPCJQUoD13U45ewrWfzmDBbNe5mxk89izox/MmzMJAq7lwPHwpgcxycNOxYjPcOLyj9K+v/9ccg11zouIGPRu/9wevf3xFKUctm9fSML575INBoGIDe/hPJeA8jOKfT2jYhPOvwEnYJYLOa+PW/WwZnPPlT0s29fwsknD0eFYwgpiAbDOI7b2abn91to5RIL22zesJeHHriLUDjCkCFDuPzyy3n++efJzc1l2rRprFy3lfvvvx/LssSEiePF6adNYvkr/2TDnr1YK5bhhCLoWa/CY0+BOQb5gh8r2B1tuKiseK/+bQpngsD9poBMAd0rYcQw9JOvIi522fCN87nowTHcNmgz143dSkZM8MtzNxF80eKJV0rgVC+V75+h6Le4ndysKKZPk5bkdKrmuxr6FLax+p00Xh+ci3OBwNevD9Y1VxJ49RnyQ/vxF+bTclUeewaOIdjt8D5rY59C/FhjxAR2QEID5AH5UrNdC0KHeAARoFZCuSsxAZsYUTo6o77DI3IvDYxWGIZkuXM/PZhMIZ6OgwtMUZPINyax1tXxpMMQNIPxcyOXO18FR3dyBw439v/OPclj+6eSTSFD2cpLDOc8XCIEyIwTDEFQDElT0UGBLnfgV+8iXx5yFJ0/i65fGnGjfmIlrLvJ+91j8+Dax0D9ANxMbxIf6z19/0OeeszQSXUJgH4ddJNAGzas+yX0+h7MHY6ojqsVKhDCoXbbFTT1f4CkWBpuNItQrydI3nEJVrDoqDMuXjdFGTP4CkHqOYe/EiCHLHoAR8rceEWcalaylRkMYkDnX447AJ8gDMOL+E+cPJ2tG9/h3t98hylnXkx5jwEf/uTj+K/CU2c0qKutIikpmbzC+HCgY+2wicMrrImKnJSSHn0G06NPlzBPfV01u7auYcXCWZ7RNS0KisooKetNZk5+pzMphUBK4992VGKxqDP31Rfr7vzjr4sG96/ki186Hac1iJmSRHtTG1fecDdVtS0q6ppuRoo2v3jheBEK2fo3989k5KgxYuU771BZWUlrayszZ86kV69eRKNRli9fzv79+7nmmmuwbZsFCxawaMlSJg8eTDAWQygFAT+MGw83z4IX/4oam0d00jcgIiHu8DiDBKIWzPNBDdKo75XDLbfA4qXomTNx+g0jeEsF1985nIY6Pz++aC35Qc0vz9qIf77L+p9nEkhyGduzie98Yxt5qe0Q9Yxq4tpEozFqaps588Qayt9MZ+nqbjij/NRPO5mDvfpxsLUdTjkN0lLpjKUV3pcpMB4BJ0niDBeIvwEHPENUCaT5XZbHJDHl7YF9tmSJzyZPadp1NQLIpS9G3KgehvjI2UDNJGI5K4nUHCRT9caJx3sSgUIzwPXKySmuQBGlgT+Txrg4B/3Y7uVOg41G4CODXrzDfQxgOjYOZnwanQ24IgLWcLQ7D934C9C/QrbZiMUWgXcxGt/vI5dgmmjtpfevnAK5uXD9HyA5A0wf7NsL/smHv95HRTTm1fkxvfdsCkFL1HvP7pnQKgBi6FwHHrsR9o5EmCeiHU0RgiLihlYbIDQZm79GcNitOFqSvv5bSCeZo52pIZC4wAAuYSsvczmv4cMf3x/vfY3ETwqHzTzLKfyW410A/0EkBsYEO9oZMmoCe3ZsJreglIKisuPR/6cYWimEYbBz61oyMnPIzMr9jwz+OdII4gRy84rJzSs+7O81VbvYtX0d9QsPxPvyBemZ2RQUlVNQXEYgOfWw1044Bh+299rb25xlC+cevO+u3xWPGdaHm79zEdU7qvW8xRvERRdOYueeAxyoa7dfnTWnMb+oLH/WrFcafvTDW7r16dcndOFFl1hnnXVW4L777ycnO5vf/va33Hffffz85z/n+eefp6KigqKiIt555x3GjBnD2rVrKausZPWqVfi6d0dLiXZsRF4O8oIrkbubcdsfQ7/6e3TPM6Cov5d/tS10GjglAqE10hUe+e3EE6D+ILz6Bs5Xr0OMgObdfnBMXGVQntTO36Ytjfdcg1aCqK2pqQpSU9tAXUMT0ZjjEXatACN7pjC741weD4ym/VSJPRGvTLCvEQ5sQbQ0o9NSoVlAA1AD5AK9vI4vuVujWgRWKbj7IdoKG7RAKuMQoxQDLFrVPFawHkk7I/gGATLea/zxYjpHRBEtZWzP/CvKzGGV9q6xQtHXgW7KcxwGuDAIWMkjjGIKJYx839Gz/w4SvQJNCF4GkiglyNncI+6kpxxHrpuFBiKsp0U/gyi8HfJfhn13gQB3h+LqIPz1uxBzvJ76D4PAcxB88QnXpw+C3YOO/FjfR7R2jgumAdf+Hh5fAym9wW4HkQE6yXtf3RhETHeQizainv0FdBQDX0c4ATQavyGYqCDL63BECIeO0lno9h4YZhisDoSTfNS+ScIB6M95DOQ8HDSq0/C/1/i7OGgctjCDbvTHftduOu4AfILwGP8Gu3dsINzRxpjxp5GUmsaMp/9C/0Gj6dF3yH+lpnscH46E4yalxEoI0/wXGjU+yCEAKCyppLDkcAGp9rYmDlTtZMWi2YRDocQTSUpOIS+/O1l5hWTlFGBah99hpTQQQtDU1Ox85dorQvv2bCs+feIIahva9bBTf26npqao5uZG66V56wxLCDX9/EvD+UVlBY7jcPrpZ+aefvqZAOkAjuMwdOhQnnvuOfbs2YPf76exsZG2tjZM0yQ/P5+zzjqLXbt2UVxcTO9+/Xjy7rtJvvTS+PECWuCeAe6kDHyP3ID+11rcxfdAWl9USW8omA47Y/BFib40nrTXAl54DrFmDeb1X0c6EZwOQXa0DVsGaWqRtLe0UNfQTHNrB47tYBoCU0K3rAyKC/MZMqASw+8p7LmOxMjqILIuk6ZzBOIEjXBBuy5MnAC1tejFbyOGnI74RTrmHhNRoXG3aLgc7G9JrIUKWa2JTXKwrAgdC6Gp0YRYYphNK7AMQQ/a9EIquYEe5GKjj2j8PTi8ox+kgwZk+z4yk77FwrYk2vGMxG5TcQqQqwQaj1R4kC0M5Is4xzj6F4ArYLul2KzAcQVRDXuQQE8M/TJRdzH9RBYtup7NPEW6OI0mF0R6GVQUQ3U1mMXgUygtP1awLoTnBBzatKi1l6r/OLGWYUBVHTQN8WYIRBeD2h6CJCDkgKvRG69H/3Ep5A6DvnfB5j4Q0l6CRgssqdBa4GqBa8QI9nwaq72MpD3TsTO2Ey5cSGD/FGQs8yMdm0bHr+ORAxKPvhJhB7OoZxM+awwNTOWA0hzqHx13AD4heOQ+SUtTHbu2rmPomMkkp2bgug7nXPI1Zj73EO2tzQweNQHT/GgKXcfxySJR59+1bT1JgRRKyuPknE9BxuZIkfu7nYK09Cz6DMiiz4BRh/0+FotysHofB2v2sWntEhLywOAZtN37DzJ54iTWrN/M7LkL0gf1LdUz561WE6dMC23dOjsNIBYN8+Of/MSuqqpWP/npT9OjkQim5ZW6dDwCjUQivPbaLFavXgXA6NGjaW9v55ZbbqFnz54MHjwYx3EwDAOf34/P5yM1NZXc3Fw27tmDBTiuC4aBdDVYGuerNuL6Pkgegj++hnxwKfrcSaiBDyKaAuj2L2Pg4n9rHs4D95ExehBFa96C1nb0dkkkeoBFs+pQRjqF2Zn06VFKdnaGxyhTAlcJDFQ8/a/AjQIC5RoYSuFoj3cgtEYZAjAh6sAlF8OM5xDnfx898Cxi7iTE8xmQLjH/Cf5aFxocnDw/zP8b9oGlyPJ8pJGFbGnDjeWjaUAzDsEWYm6QWtOh2FWY+kgjfDUxguxhPhqXKfwcIxhia9mrOMFzseO949scibAUUwTku4n4UGJgfiKpfwfYqGGdIztT81KAP60Ax7yR9qa72EQTTfJu8tVQ6vUICC2H/EpM8sj/wnOknXUjZf1cpJAf+6MmxLtmPH2U11FKg9a2EriuLZ5aHRK/eNBH9XkpqN2gNy+DpnugNRWaW6FhJ8J/ISLzEXAsWKHRUU8O2dTgiq5Jf9rsoKPvIwQOTMZq6g/CxdfaCyd9D9G8FSTVTHzfvv/3OdPO6/huF0CjcIiyiN9SxkSmcAuvAyvsI5QIjrcBfnKIxSLMnfE4w0+YQkFxV/uY6zoYhsmiN19GOS5DR08iLaPbf/twjyMOT6XRYPH8mWR2y6H/kBM6BYE+KzjSx/qDZImV0lx51RX84fZbaW44SEP9QZ579tlIc2vQvPaqi8yWllZPuEhKkvx+kpJT0EiSU9JJCgSwLB9WUoBAUgCfP0B2bhG2bWNZ1ocqYjq2zVsLF7Jn7TqGfedGRlfvIddViFAHhh3DjMWwwu34gm0EtEtoyzZa1m/GFwjQvHw9+dn9GdBzPCSnsmvLRvYWWkR7VxBbfpDsyq8zssDhl5PXMbKoHqImxA2944Lhs3m7qoCntpZQnhZkQH473ZMjlKQEaYv5qIv4yUq1+fFrA3h6XHfECNDNeC1ndUCGRhQJrCfAnf0i7u75ZHVcjV/2ok6lwniB8CncZoGs+Rnq/KvRJT1AgLUMWAo0gBPDK0dwO32tKzjPKSJFd84sIkH6C9PKIm6nF9MoZxyu0AgNewbfx0ubrqHZ8abMJYxwb1NxqoJcJZnLLUzh1veNGj8uJBARMNtUrLa9107MCDQHuNjnGJj3gexw6eEadBMOG9TNtPrvhpTT6T+2G7Oe/TslATf+rGProERiXsepiHcXtMWgIQxCeGwFkyg71q8i6PgiqbmFQVcJ+7G//jHw8mNPpXPByUI/cDPcqeDOGyF2A7T7gSQE4yjV0A0VzzoIbAQZBnQzXJSAAqAwsJtY99kEdp2HFSrqqvcLB6lN2ns9hdleir927Mc6d/uQZ2mglQYW81v6czX5DMKHYr4BS13v2jz9jMcBON4G+AlBo3FiMV7/16MMHDGOguIKOOQm6JEDXU6afDZ7tm1g7iuPc8LEMygoqjjOC/gUwBvo4eDz+UhJzQA+exJN77uPtD5ielUIePyfjwNQUOS1O46fek7S+71+zI4RjQQJBzuIhMOEg+0E21uoqdqFz5eks3OLhGmanceite4cew1gx6K0Njex4p1VLFi4kIoePfjqd7/DkoZaCreuJzkji4hlEUtKJtwth5hIIWyk4aaleNKwdbWQHoBFB+j1m7v53hlNjJ1SwbwXbG5+XtIRuAq79gH+fOr/ccbll+DWtKBDHrc+cUyJrzTpsqQhh/ujPfEFFWqfACeu95OkUUIg+2hkhUbtF/BTkDUaowCIgQw7qEqN6nMe7DwdVz+O0H/D4Epiywdhni8wzSUoowJtZEC7AkdjDxFQAb4nFOKAisv2ttPOJtrIJoAPGd95noSSSz2byaInRYyKD98BkGS1VDAkcx+LG3sTi2cOBFDlSLb6XLJj6phH/glovO7IoQLafYrtsa4sgLEPxBqX2BUCeY9mh1T0UwYp4ixao3+AnqXk3nAXuSpCzE3CEMdOoMd2wDLh7hfh+y9D2kke/0I7oGxPmVGmSewZt8Hbv4RTf5+UfMa1SbFtb6MW78b4y+uog5vRY7+MbKhH5V8NjVMRbd643TTp0AfJUC3x01V6sFyQroGWUcJ5y4llbiNl25UYsfR4USd+gtpECYe07ZfSNuCvCDsNX+P7EBjeZ90tYCbQQaLmrwijiNKXJvoDGonEdY/MgTzuABxjaKVwlcubs56l94CRlPfo36UcdggMw5shUN57IPndy3ntX39n8PAJVPQagGEcvyz/LSQi/c1rl+L3Byjr0Q/gGLT+fUog3t8MuK6LYcjOtiulvAr0kcb+WqaFL60baWmHZ65ef32O2lfbGM4vqUo+ePCgqKysIDs7u9PYRiMRtXvHRl6Y8aaau267OeG6Cxn669swpeAl1+WdnAKqp57bKY4DQD0UPxFhyM4OmtNcdp8SIDyswAuPzQz6nHkT+3bdyhvzNzO4bzFfHlXL+JG3sbZXLb6USgiDNK2ua5g4LwBlUJYSond5B+sCGegtoBpAdMcb09soEB3gbpTo5/F0CPqB6iNQHcS5CqbXu257pjCd6wjoHTTyC4hU4mxOh+TdMOBa2JQDu8CwNGqcwLdSYR8w4+fqAr+i1v4Bs61tjHdGU6h7AiYSzX5WUssasumJQCLoulZp+09laJ9HiXWUsjwS6NQY0HiaA61UkUT2UW+TjwINSA0FtqTcp+gwFQccb63DQYOkNxW+ueD4JDLmdSgY2g8yGdJPRAZdTMtEyKPXZjoqxLdtSgaYV0B0KLjLgAOg5whEMIZ74AVk0wEY+ip663LCC04HXw66/y9Rf+8Huh+y4HzMcWCvB72xSzVBYWAhsPDKDoljV4AyQ3RUvogRySJtyzWA6OzPOHzxTBwRI3njdYQG3o9hp2G2lX8gB+LQaF/H33sLOv7ObwNFkLIfkl1wDO9zktir78JxS3MMoZTX4bpi0WzyCrrTo8/gePrzyI/3ZghokgIpnP+F/2Pmsw8RbG+h3+AxcXng4/iPI35HDXa0kZqRBVqjDolc/5eRmBiY2K8fPkHQWyvbdjhw4AA5OTnk5uaISy6+wBrQt5dta0MUFXW3XnzxBVzXdbVW7uZ1i9v+/Ntb0mZvz/e3/fQl3pyKR4Yztce6Am/NAZEIY7fA+R1V3HXXWzTuzuPWOf148YVCUnq7NGzwkVloc+nPzmH93N28Nmc53bqlMXP+VjrCUdIPdtC7LJe8/CyU43EekgM+MD3JXZQgKyVKjoyi5gtEOyhXwHq8u2MS4I9/CaAY7z67CE+0pj7+s4MnVuQahNmOox/FkZNAj0Dm56NOLYR/Aqu60vPGNgV+0J3ejoxHcdfRqGay1ljEPmcePpJwiJJLP8byLSSeq9B5PxcKqQykjDDGVWDC8jjNP4BnIMRhUwaOPQSQrGFkTFJnKJqBKJ6vFQnLzpP2ob2yhiwCYwIEN2CYl2Jatvf7Y5iksOLbSfrAWQ/mMnDnAoNsyGqEVXch9y2FtHvRHf1ATIPkn4EGsRFvAwovqLMXecZbGpJcF9KAmNYYuot/721XjetvJtjrKZJqT8LfMOQQIZ6uk0s83gIO6O3UiNWUbplKR885pDpnYoaOrAuQMPqJ9/TGlCV0IlYAS8HciD77ekTA17U3XwciGt12+AIfdwCOEbzI0WDbxpVorejZbxiy8wb6/rs6kap1HYezLvoy7yyew6I3X2LoqEl0y87/Dxz5cSSgtUYaBqGONizLR1ZOQTxiPk6TORISpL+6ujrGjRvHj370I84593w9dcoE9+YvT00KqbS2m371cNq2bdvV3r27G1JoMtPlwZxtBxQ1dXswQ39FqmsRQoE0EcSjp4QHIuKG0tLk5MRwmpJJweFP56zkTxcozwrGmwbqNiQTSR/KmdeMIOpAunToWeiw9M2F/O7eZ5kwpi+uq4nEXE4e1x+S8tkfDEBKOtl+RSRieHf1ZDzjvhyvMw+6rG1X8Hdocf7wj7eGGJvI5GR8TCCKwBdxibW76A6JFoJ0IB/BfgSh8KErqtCEEdg0uxYZ1heZIFLJ0okbPTid9eZDHFIt0Aj89SOh2yZGNw8jzTQwhcYAermCZvaRTjHH1MJ2nTIdeMvkahjiSMJS0yg0DW68HKC9pS0nYcDSwDce0nKI2hDsEKSkgXpvsvQjIxiG9ggon2fgWoQGv4BMB3IbYc6riJ13osX1ZIjbKGkHAxfduQMTptU7EBGnFQogCPSNn4etBRmAlVBVkDFimduIFL1J8u7zsYLF6Ph430ORMP4Klw5aaGY3e/SbNDu7KNhbQWHRG6TtPwcRTX/P81oNTa0S+LVXdknj0O25HlLPhxOGQ1sSeohGfE3AQ6BdvDbVHYffy447AMcAidpmXc0+qvftYMjIiaSmZXwkmV/DNFGuw8gTT+HA/p28OesZRp10GsWlPY63Cv6HkJD+3bxuOb6kJAqLyzu7OY7jvUjs7eLiYqqqqti4cSM//MH3uPDiq8S3fvIj8faM2zOG981yvnbtpa4lYgWGZRGLhAi3+sm56Jc0XH2ON4vVfJ/9HS+XukmC1jYL03JxhcaNmqiIAKHRSmAk2/x1WU9+NGMA1kgH2xFQY3Bt/938bloL38wbwJqNO0n2W+QnGTz22h6eW36ANdUZiKmXoP09Mcc5yIDG3SE8w99Cl9U94snHv3c6BYna7m5ssRhTXIyhNUoo9HIg1cAMKWwNAQQjpabS0CxE0qESMV0NcC+eOZ1Og+1jp+mS5kqM+GxiA3mE1kDPpCTVjaZ1wL1kNAxhnDI7f68QbGE1lZx6zHkAJt5S/YMuYwQglKC9k7/gHUmOgBMl5LjwiOgGoTJE68u8vfk6rmlSPHwZJKccsWJ6VEj07d/zL/jh42BNAvuARo4F0x/BeXIObP0dHBwJxjJwkzCMKCO1RYUyCAPyQ4oQ8f6PzvPyvguwgoQK30JbQdI2fxXp+rx6/2HGXyGRtFDNfpZiE2QTzyExqGcTPUSAkvC3MEPrieQvIql6CsL1H7aGHUqwXHs7xAIkGlcKhNqFTq2Hc3tAeAM0FsA0kM0aMRvcOwX6fqD0CBmABCv9OD4GOgfGBFmx6HWGjp5EVu7H0/iXholSiqLuPTj3sm/y8tMP0NHeQmWvgfgTc+iP4xOF1hqlXUzT10lcO07M/HC4rktzczNVVVUyKcmX5PcHnPr6VvP+O75iYlmm16QtaNy9l807q9mT3Zcr/64xvyRwHPHBoYimMwYTgCE0hoiXCUyNbjeJ9JaYgzTyLYkZEGBo/r61gkc7yhCpGitmkBJxKO4WJJCXwYGxb2Gu2w9L8tEZCuctA1KEZ8V2dL3v0SV/EsZ/HTALIb5Nkywg5irQBspV+N5wsaNG58vmK0FvDZiKxUCbEnieRwGaQmAKLiYRqRCuiMemmihhTALvNeTxMFu6AZQVwol2tZSZQJA6kkg7mpP5SEjUoJOB3Sbe+hlAG10ZlDgCaFJcgRaQYgByNGLDXMTyBTxz7SR4zOHhK0ySUz+eE5B4fFpvsAaCsRt0i4t6SuKsvR9ir0PSiyBy0coGFFL4Ouv3h9bxPwgJ1T2RcLB87YR6PI3Z0pfAvmno+H/vfjUXFz+SNfyDefyYAoZyJvfQl5OYxW0M118hXaTj1pxEe49niOauIKl2nHdu8bVO1V41apcPdD7gCLBboP0e+MIvwZWw24Y8E24F9ymB+YTCuBzcewT6zsPPxQRYv3IhQ0ZNPH6j+6iI79JoJMS8V55kwLCTKC7t+W8pxiV4AVorzr3sepbMn8mSA68waMR4snMKPvwFjuNjISH9e7B6D6bpo6ik8vjn4XC4kUgUx7ERwN6q/UZHeztZ2dm6Z49KB2HIcePGGfPmzaOqar9GWk5zc7uZlZmC64QRAoTPwlES6bQyLrUGo7YnaK/n+4PsrHQ1lk8d/iChkUKDpXAiPpojPhxLQBjcLQJsEHkadY1A/5/AkYoQgjqVAY1hWLQTDlRAdRpijYsMS7QAEQNtx1vY4kYoUau1dFeCOCoS/QSgtMfH92qwAwmpbELxmj6AHZXYorOk3JlYMLRgtC2QpmIpNk2qEs9qFiGQRIC9GgYLhzxtspIX2MFsTuV2kt+tEKg9k+SvnkwsbymB/SeDNpEIQrTiEsPPx281fneORnH45VAAGSAvi/9+Ceg9IFvj0goa9iHYaNgMVRG09oPdE8zLUG/cj1EwiWdOV4hH4cGrPSVoy/x4BQslwK4GDBfHNmHZ69C+GuHchojkgI5hCgstBGa8jTJRUz+69/OMvzaixNL2ECl+g+T9p2O1VqJFXHv5CJAY2MBgLgdgKF8kl2JCwBRuwUZjaxDSIWPnxbT0ewhpp+NvHNx5XEl4RlsEgDEx0K3onXcjir4CewNwtkAPCUK1DzoEuODkSIwXNcZ1GucPwitxxWECNDbUsHXjO/QdeLhwyHF8EDRag21HWDj3X/QeMILyHv2OScpYCIERb0UbO+ks9u/dwRuvPMkJE6ZRXNrzeLbmE0Ai/b9n92aSA6lkdMs5RoN/PvvYtWun3rp1S/s7K5Y5B6qrRJKJfOHFlzIy0pJlQ1vYeeTvD9UWFJYmG1ZKVmZmhn7rrbe1MP06ZtsYponE8bgUhkRKga0scnJjXNy9iieXlGOeqHESBf9D78Bxcpy/ySU/I+JZUO1ZUlsZNAV9OEpTVx9gTywZMkEdBF8j+EMQsgXuHUA78D0BpkIYGhp3oJ0MRK+h6AWQ3Cgp05CCZzyUhmQD0kyFFF4K3XHEYUNqXKER0lPA2+maHHBAcS3wK8BGMD1eU46fkPZOLw1ISnAbtGfuxzoS23KYrzW2bgFy4k/RtChY5zMZEW1glv463eiLPGIi31sXf3sFsbLXEQckuNDCft7hQfIZjMFHEZrpOtdEjf/Q97TiXwl0Xro28O9RqDKInS7Rr2jMHXVgm0SjLhvdjdTILYRUH2Aw2lkJWS7u3g6MV/w8fZEm5e+Cv33T01nyf4xbndZAQMM+A9bsRxx8BC2mkqqHUUKMbOkj3VIIlFdHVzI+oOho10SgfO1E8hejfC2kbbkG6SbF6/3vX67tumqSEXwZP+nUsocorQTIJp1Cj2+gTLR06Lb5y7T0f4ConUqsrbJznT3b46K3LkCOf53kSV/BzKjElA466hJ9ZQfBe8/zRAjiT3KTBeIRkDcAU7uOyQSYesZlzHjmQVJS0imp6HO06/y5RiI9/M7iOeTkF9Ozz5APZPx/HBiGiVYu3ct6cvHV3+blp+6nvaWJit6DSE459um8zzMECYEmi6Rkbyb6u+3R5wlKKaqrqwkGg5x88lSnX2V2ZmVJLn6fDwOLBS/cRvngHrz23ALr9lt/WnL2qaN5+Jn5jj85LVZf32x2Ly4y73jwZf7xtx/iNLRiWl0dBlFHkpoV4ue9NrJsZg57U1NhAO8JM+Nlb8LJJov3ZfOlDh/JPhcMl9X7srl83mj2OSm4CsRpILJBFQtiYTBCYDaCMwiPLVWPJ9rTLGFHE2KHwpSp2MleBDgY7xDCWpME1ErNeqEJaZBa06EEUSU6GfhJAqa4AldAvdFBnWglpg2gO7ACzSigiMQu6iR+SY/Rt1dq/I4kWXl+TlK8sQ9GAP9Ccz2CDOpcl/3GXpZyMqnkcRVz8GEdUctfaIGLQzRkoq3tNLi17GE+PTiVHow/jLd4NEjs/SjwL7yMR6LY0d/QDHcFvvjPxRJCjdA6E5ikcR0DgY3uuwhn3VtII4DCoJnuZKqRRNkC5npImwyRMOz4DWrkr5EtMYL+j+6oQFcJIKIV+CS6vR0iv0aLEcA1GDLGUHwMUuBEuxx7BUfhAMSjfqFw/c2EKv6F2dKb1KrTulL++oODBYXCj8E+FtDKfjIpZxPP0MBmzuBeutG9M6sSVAZCurhbrmV930fZvSeZSKgAiSIsJMJ9Fe204B/7eyreCdFkhpGmj+iWFyj39Sf8V5Nd1+BtwYQPakHaGPuwYzLB+7BPv/irPPfInwikppOTW8jn+/b3wUj0im/bvALTsOjVf9ghBatju2ZCGp6zoVzOvvR6li54haULXmHIyAlk5xUd0/f6vCIR6e/ZugHLsCiv7A98gJjO5wBKKd566y0aGhrp26ePmDSqhO9eN42k7HRAQ0cYu6GVSWP7M+fttXp/bbN48t5vm489N9/M6pZGblY6J47oA+0hTPPdLGgNYYve5a0sufxNpj9/EuvqM4gMNDxrkoaX64xbTTEOnm4vwfdPzX2XLyU14NJwwM/O4lTMKz2BGzfRq/Fz0F+DUCHQDc9q+fDs8p1g/AFEUR2iGfRUEzIcEGZnyt+HwA+0a8EaW9HuHummrvFrQYcMkmkE2es+SUzvRMhCdEorJDkQjnmUcZ14hoegEuxWYFuaA6bLKMegVGlcIdEiBnoFMB5Ii9P3YFvsTLJFOl9mBfF8yrvuMl4bmIvLXhbRsDdMOPtXNEVNxuofkko2ITrwkcpHQQioAsLxr32H/C3mCkJSc5ISpAKnKRAStjRB6yIDLg7B0vnwxkq09VNcO3HtvcsbZBRN3YGTtsHG/WCXeQKN3QSi9SMdZnwFPIfR+65ASmj6K7JVY8jvgHZIN0zStcZVgihd/ubRfMoFAm2GiHbbRDRvJSl7z8DqKEF9QMr/va/hlXUGchmLuJ129nM2D5NDN6JADBuwSAZeM6HZ1GjHJLr3dNJK57E/dAbRYCbIKKjlkPdTRMwl7Cpq/pCMNiT8eCntGX/kqrR9LL5fseGrGZ4TEG9q8G1QcELXMZmQqDsrzrnsel5+6gFOPefquDTtcSfg3Ugw/qv37aSmeg+Dho8jOSX9EyWLCSEQ8dHCJ0w8k+bGOt6a8zyDh51EUXkv/P7AJ/K+nxfoeLK2sf4AgUAqlj/pMyf9e6xhmiaXX345e/fu5eabbzbemPcmSZbmhi9PR9sulmVgCYHpt/jj7V/zNn4wwq9/cY3X/K2UJ8WmlKcE+O43kBo76CM3M8ycy9/i+ldGsHt+MuF0g+q+Aer7+CEfb/KaAuNUzWOxUsynFfde9zZJfhfR5PXsa0egE0HjGOBG4A28fq0NIEwQLaAD4JwBxCSsUTBfww4BBthOiBiaFtqIokAUYcVjcq8SEUPQgRQGZnYGTrCD6vBcavVmXLJA/BKtMuGcMGS8hXgngN6CN+fn3acO7LclUVPRYmlOiQki2kDpe4BGEtwBgUQjSZNvMMwsJOI4pKh3p/89vfkYUbbxClHa6OdehpEfIKnhS6zW/6CW1XSjkhP59vvyGt+dadfAfmCe0ES0oI3DLUG1AFcJbEMzQQksDacocA3YUR+k5e5HkPjA/AnYdmfboonARaNNAR0bYf4NcNpX4NzL0CUaQhbBj+EACBIKghrLMiAcQsViJIsh9MIl33TJk4IsW+CS0Eb4MHTZP9ffRLhoPgJB+qbrENr4SMbfO8autsKp3AJ4JaBWoiTh5wCrEFiUMZg0abA8YqKEgmAx3WUvKk+Yx86084itfwmRehb4BM5BQf/SDqq2BLD7AuklRL60j789WM5vh6/n8T93Z8OFmegkIAV6des47Jg6r7sQEtPyc9q5V/PGzCc55ewrSE49vA/x845EpNje1syGVQsZNHwc2bmF/5ExseCVBJRSdMvO45xLr2f2S49RX3eAXv2HHdcM+DcgpYEdi2KYFhndPLW0426vlwUIBAKUlpQovxmT3/3aeQJLguGiXbfT6XVaOkB4gYRq7SChNiil+ECn2JAKbINUw+XxSxeCqVEhP//aUMTTT5TwdmYONZcnYeSCqwXG6Zq/v1RG6YthTkxr8Hqb42NgEXjTff3A6cB2vAj8b2Dt1wQedAi3QUxJz+iv8cUZfgawnfU8QQNR1vM8mkYq1K0oPRmNhaISzdvItCWIjHyiYyZD1QLMNRLX+SFKiTizT4ORhLH/NMwMcEZo3JXiPU5AYgZgvSPpcG1elC1odxeaZcD9wM1ABM1IBFm0qELWKwfLgmExL1PhGXIv8g/TzFZmcZDVTOU3mBi0N5UQydjM6OZrAJjFjznIZrpRjkmgk4iY+GrkUCfAS3fHpMZWgpZDD16Cla0hqqlpk7hKoKRmmutd51Ndl5BcR66UZHMdyolh4CMha2bgpcIPSgntLYjBeeR+7zJ6vBBCHEimYR+UxmvXR/sZjCloaIVoEAztUh82ES0vwP4tqOQ7KQtKRisfdjxLdHRhrbcGyojgpu4nXDwPf91o/A1DD0n5f9z2bEEkXsQRSCQmLjGqWMJ+lqC4mzYnD4lGay+3sz9tFH1a91L6xdXU1a3C7HcyZragbb5m3FX1LFifTayvAddfC7+/C/XNa7n5tkEsufZNnllSjO0KhIZLp+9j77auIznM8RMCUtO7ccKks1g470UmnHoRScfbzwAv8hdSEgq2s3DOi/QdMoai0h7/8Ugx0SWglOK0c65k+6ZVLJo/g2GjJpFXWIplfbz62ecVieu3dcM7GIZBaWVC+ve4CyClRClF99ISUZQl3TUbdxhJliV6lhdiZqaC46LDUQxDdhp6+X49/e8DIbx41A76vdGtUnP+oH2cP3YP/1pQxtf+PJyD/5eEzAfXL5DnaP78ak/+Or8C31RFFAl1IN8CMUrj9hCeSssf4m+gQezWqMECd7cBe4QnDScOgqxGuhLE09TqDewkA8kAXJp5x/0WkAFMQcvvI3gbNe1E3Kx0WPswDB0PsWmINcRbB5qBbjDHQg6wcZMMZIZG9xeolaKrJS4dj+NnC+T+WsJ6L2H3bSAVeAyvZpEBvAUsQzMAyXgOOEVkSYvhcIimn6CNepZzNzYRpnE7Cm9MbODAVDr6/ZVoSy/QBiO5nmX8mTLGkUEpBknk0BuJwAaeAAwRJzoKL62fKqFZdREBwUvzG0UatwFEmzcPqdztks1xaaNUvc0wbsSHg4l1GLXDAKqBDQB+E7WrnWErg8y65b33Ld+HEABdDYaAd/bBl56Fqg6NL2oS696Bkb4dR44EmQHYOMLC1UfT5pfgbAiUv4lw/gpUoJbU7Zdh2Gko6YL693VZJImWUIWJQRsNbGUGhfTiLfzUaY+QqpNAGwayyGar70KG3P9rhuhGdgcEPtch9TSXap3EgOVtLCvthjoxE06biHj5ZYzS4eyu83H7eau6PJ6Iwd5DjuNdS+wN7cgvKqWy92CWvfUaJ02ejvk5NypaeyniSDjE4nkvU9lnEBU9Bxw23OQ/iUSXgFIuvfoPp1f/4bz2wt8pKqmkrEd/MrNyEwf+78tq/c/Du7VFIiH8/sB7htZ83lFQUMDcOXPkyFFj5KU3Pu5mpltcdc4wMXZ4T5mVmUZZn1JPzCcSo5Mm/xEhAEvGu6u1wImZuPWCc0/aS/eMEOf/6USqvpiM6A3KL2g/3SQ4zMDJk15xei7oH4C4EcS34lysBAHfgOgI6TkKT4dgaxha20DPQehaFCkokUOy+DkxNYCQBJEMwnkSHQ0CV2Co21GDQuiyYZCRC91P8F57cS0aB0kjQt+JK66BA+Ox0y2s0eCuBXVq/DhWAiUgRoLoC+7GrciVL2JU94XodSgy0USAZ/EcgO/i8eyfQvMMgt50uIOpxUcuyUSJYaBYxj3kMpBmdtFKLWnke3Gull6UajgIx0cGxZzJ7WxnPgdYSRWLGMAl9OU0DCAL2JzUAcn1EJP4nEKyw773ig4poBqE09XJkBgwbBOhhV1EcUnHRwgXO+5gJGDg9UgIB0jtAYERtC1/nOglX8FVDlKaGKJLxveDkMj81O2GbaVgXqKIIVHPPwYP1sOQX8BKjcA6yhmD8ahfxnCSa4l0fwOzrZKUrVd7BE6hjonxPxyCCEGa2UkdGzidP7KZDHb4QJcKyAUKQfUwMOqirGu2mJJRROj6Jvbn9wDgrsd7ccOYHZjPaRa5WajhE1GDJhK95Dds0QHsHiWddsDw9K873/09PlZiclfPvsNobW5kzYr5DB8z9RBZ288jNI7r8s7iueTkFdNn4CivHPBfNq5SGmit0Bqmnf8l1q5YwNK3XmXIiPHkFnT/3DtuH4ZE739bazOGYZJXWBq/ph/PkP0vQmuN4zi8s2IZgLFv7151849+Gr3j4b/5Td3BE3d9U6YkJ9Ovdwk6PmTngwYOfRiE5WJKjSmADh8jB9eyOncO5/xrHKunZBIebqD8AlUivAzsW3g283owNmrEa+Cc5/U/d+a5hQsNEua/AbsWQzgZuAKtzwIgpCAkAGzobcNJJqxphy0hRKAd6fspDIvipisvQNdAyyoILUPRQZbuTaY8gRq9gbDMhy2Z2K7rFcUN6amvxWwYbWB1RBArTNy9L+COvwqqirG2udgHgqCWI6hF8y2vHQwbuDS+G+9nn7uep4XLaLqTiiJCjHyGM4wLmMttLOFOTuY2/Eg0kFJ3Am7OGpJrT0AhiKLoySQkk0gljxXcTR4DcBBEcBBiBgzdA3t3Yac+Qs0eH135/0PYjDEZl0J20bQRoZ16otSwg1Z2MYqvEgUk5nv2gWeIhccRSc+DbmfCxpvxm1/GiSmMj9D7n0jS+SwwwgrlCDAFelMrwsiB7gqWOYDvQz7Sh0f90ez12Ok7Sd57FlY4DyUdz/B/CMv/o0LHlQE7qGIGX4rnSjwqoDTAHQiiSKODAqolLm+AUcGuwsn0fe0Z1p9xDu05xRiXa+76a0/+b9QO9L8ETdslwg/OSTezcsmFGBde7NnvIzjoR0yyJJyAEWNPZsHrz7FhzWIGjxjfuVCfJ3Qy/jcuw+ez6DNolDdrXYhPRXQthCekopTLkFET6TNoFK+/9BiVfQZTXFLZyQ04rmj3XiTWZMfmVQhpkF9Uelz6910QQmBZFrGYl8MuLSuTj//zkQC4evLkqfYZ195nhtrqxTMP3CTOmDba+0zYjqfL+lEgvcJ2fVOAcFTSEvRzIJZEapJDVn4HPxy4hStmjcauEDi5noEjCmK9R+7T2eDsFMjFICaDTiOeBdDQYSDeUOiFmyGlAEI3eu+pu/j03j3PgnKJVWwgt3Qn1us5VGEEu8cFUP8OvBOCskkQrIfgKmT66QizEr8DxRqC+inC+lmgBLZ3wPYwjEiH5PWQk4K5qDs6LYI9KYS+/WTMv+WCcokOlxiLapBblyIzbkRH/AhcT4wgOYZWBuy7Hrsd/NrhoNxGP92TEu0jBoSxmcotvMS3qGE1ErAYgtUwFHvQPYQOnoCpBekY2Cg0mjImUsUy1vFPBH5aaPEEe4yvIrNnYhRG0LkWzqokjyBwyH1fx2JoVQ/sQFNDs9jFFp1MNoMZyfVxOV39vpZCA64QEHGgYw+tvmJ2dQgqUzWu2zUT6sPgArialnaB65NIE/SudgjGEDqADnvuhpQg36uf3Hk0XtTv4CQfIFI8HyNUSPqWa+JRvwvqk9Fd8UieGk1fTuRRfKQh6EuUeG2jWmP9SFC+vpmOdRvJO7gIo+gGrBQf6wZeSMXq2ew48SzCKd0wrtPc/XBPbhm/hS9W7kWgMIcrFqcXs3L9bkYN7+XVTN6F9z0z7wOhmHjqhcx95Qm2blpJn/4jPpGF+LQikQrev2crTQ21DBh6IoHklE+lMZXSGy/s9wc4+5Kvsn7lQpbMn8mQkRPIKyo7zg14H3gjbzV+n/+49O8HwOfz9o9SCtd1qaqqEqdPm+Z7+aWvxL583TXO2V/8dfK6uXcSi9lUlOaTkZ4cn+zywa+rASE1rit4eXd3HthdwZ62ZHbWp+KmC09jtsp7bPIEBztXevX0ajDmasRL4EwWiD2gewlYp7H+oYl9S0A9iC0auVUgNtTAgBzU7lEox4EGDU6XlE1ncLTYwDVA9jkVUXAG7F8Grz4F3XoB26FuKSJUhOh3Gc6ESqyOGMEdBrvQhLjUO990vDF8JjAKWPlzKD0HKoYhdoCVBa4Dzh/A+rZCNju4X+gJ/9wDk/eA6ueNcc0VgM9rY5zlILZr6vYaaNWf14XiVKHJ04IkLBQwlZ8zk28iiFLP07hC0yucQZXVRrqTySkKsvBEb/ykcya3EiOelpcxVsY20rG6F6T5sCtvwdz+BRiZAXOHg9rniRlpl2ikGtgIBDDFKfSzLmVKzGsbdI+CZpeKpkQIOg4cJBJ8kU12D67+YxtP35ROUbKXHHi/Clwi7b9xv2bBNvBlC16oBcy9iBkNqB++hmzdijzhN6g1Xo+EQRdv4hA3hkTU7yY1YmdsJ5a1kcD+qfjay+O1fvlvEP0+HF4yXjAXTZMYgxHXuYoJwASZKbAfb+CbfZ7E9L/B9bddDHlzmbexiBteH0P10BGUrXmTHWPOwDGSMK7R/OWHlfx40GYCyQ7aEZRfNJmbfvEwPcsL6Jad/h7H/ANdGyE8EtDJZ36BGc/8BcvyUdlr0OfiJpmI/Fsa69iyfgX9h55It+z8T7U6nFe31ijXZdCIcfQZOJLZLz1KeY/+FJf2ICu3EDieDQCvV1hKyYGqnYCke0Wfz/2aHA2klEgpSUlJob2tnbT0br4//fk+d8OGjfYFX7vDioRj3PDF0/n2jRfidIQwjyac8zssXlfIhW+egLoGRJlHBrRQMFNAUKNKBCHD9NhjG0E+ppF+jXOqgPUgV2rECaCKQFThkfOe1JizXdSYVpyVMzF75WJeNQj1ooO7w0IfBCLEWW5xZ6VN4K4HN9f09OxXjoG9Y2BfNZSuRoz/P0TeYHyrFXa+wp3gI9SoaGuW0N2FVAH5AspcRIVA19RAsoBNq3ECPUEHMGcojH9I1I8N9Bka80mBvaEKnVIKbX7v+QqviwEgrOEUEz0VeA3q90J0n2Q2ESbqetKIEiFGGtmY+JnAbcynmbUii0h0Ivl9F7Jv/Zm8JgWnK4+D6KAJ4SDic/BOURZCDmN1o6bF9zXk69/D7XYAsfMBtP8mRPhtNAZ+oXHpg6OvBJK9KcgiRhADG4ERLz8cikM/VS6ePMOZCnBc1tYLaF/Kwsd+xQWh63jmpnJKcvy4SmO8i4jbpYIH/1wu+N1yEKU16ANvwo4VuE+vhuFTUD0fR20GGjzZInGE9L/H8I/ipBwgkr8YM5JLxuZr49Mojw3R78Pg8SYgFcFmnwuF8V90VCEyghihAGrXLEKljfzghmtwHBv7gGRKUT33nLqUr88eR7igiu7pi9g7ZCouglS/g1LCG2mtBcq2uWDaGJ59ZTGXnzuelJTDx8x/aG5DSolWiukXf4V/PXEvluWjpLzP/7QRSUT+HW0tLF80m179hlNUUoly3c8AF0IgDS8bYPn8TL/4K6xZsYAVi16n/9ATyM3vTlIgrnT3P3wNPwwJ1cYD+3YhDYP0jKzPfe//R0F+fj633norSikKCwuTXp01t336tEli2qShZnJ68tHtLe8exbq9ufx5c0/M0RpdoVFRgTIE7lIBvwOGCngbzyBGgGJQI4Unk7MWWApqh0C4Gn2JwKnX+L+qcAY52Df4YOarkNKIDn0VVWvDF0zk8xqVK9CbgWC8pKfxSgZVAv7ZDE4MyEeKpRg8jtOikbOBR2zsC8D4k0GsPxinCIzFAneaASkgQp6Ai94MZHaH716DePE19EENS0ycZgVjJeZPQF4jvcmGc34G066Dgh7xVK3wyiKmQHQIaNgDGDBKQ1kHba8a2A2beVpso5wgKTqIn0wkFou5j1pSEMYPaTullAGxl9jRoTiwy2CWhNM1ZGqBPETMN4ZmqlJoCcuq3yCafhL0HIuor0HnLsFY+R1UDAqEx5fo0BpwMITEiDcWSo7Msld00c4UEEYQAM5WpSTJp9gkINT6A5b++RrO3HGNfuWha0VJNxfX9aSjO7dLvOwqAC3rtFWyXciWf2Jv2ovqdxtM/RNyOchVDonRPgqIdSaiDunrTz5INGs9buo+AvvOxArle7V+bcSj/o9f7j7UQuj4miRG9ib+nsiTOAIcDYYFaqSBCM5FHVyGNnJxWlqh+3mcMrUO192PoQWmT2PbJpOKG7jvtLf52hunwqynyQyupKV4BFJq7ysx4ADB2LEDqa1r5blXl3LVBZMOO9ajKm6IuFDQ2Zdcz0tP3YdlJlHQvex/0oAkzikU7GDpglcorexLRa8BKPVZMP5dODQbMHTURNSI8cx5+TGy8woprexHXkFJJ9fjf+0aHg2EkNh2DMMySU3L/NgM9s8rEuRA0zTRWov09PR0I5Ad3byjVv7xLz+QsR1V+PzWB76GFJqIkjy1pjvPt3bHmq6xHendlRJKLT48VcANeLXoEUB/wAHxqobVAh3P1MotIBZo1CSBztcIbUJNE9QnwcKTUVeBudVClWv0DWA+qHByBCwX0NzsVa11ivfmzusIlqO5nBS9jYCI0dR0M+455fgedYjdZqLP0MhnNO4A4emrPw3iy2AM14xY1kxGNIIyDOrn1rNh6yxcIx2RdyY6lAZLwElfjDU3G7fBh4z6UDINbcUl9RzAJyDahvFmI2Lf3YhAAVoFIFiF6u0nbPbCf/BrSJHOdA27WEYjO+jN5TwsbkVrT6imvb2E3DFV1BlliF2CN4AL3rXdBQIbwRSl6JApbGxrxplVhN39JsQ54FbZyAOCeiXIE4JJPo2LQKAJKEEV3mU70qcoitesoeP/Bk0KgjQU/dVWasMQlt/GyM1m/Zy/iXNvKtEv/elU0f1dMjRKaTZt3qRXra/RL74wT9v1Swzjy9ehzr0fHgCIkdQu6W2YZMUtbJsGf6fUl0BZHTgpVcTyV2AEi0nfcs0hUb8ZXwvv//pjOAESOBg/z4Sht/CyLolXqo3/XeElmToSx1fTCj2WMuTs60gNFCCTHFrmxvCHtmNk43nLeB0zdsxkUlEjD01+g7sXnErJk/eyIRrhlOlZWJY+7EKocJTzzp/Ab+94in3V9SRmTcBROgDg3TCRmrMu/ioznn6Ak6aeQ35h6f+UAdFxI2DHIqxe+gZ5hd3pO3CUFxl+JolhXdkAIQSnnXs1O7asZsWi2fQbPIas7Hwys/KAz1c2QGsXIQz27twEWlPRc4AnJPM5I7j+O0iQA8Erl0UiEb5w2Rd8c155JhpraLeQwviwPeW6gqSUGJf23M/f68tpaPMjU7z+Z8BLiQ4A9uC1QyVDp5qtpZFl2msqb/AUAd0UAcXezzETDL/CeGs+qnYbOq0IvWc2OrMPwinFPU1Co8KYo3GnhNAv3gEFAyDrC1641mShHRfch4m1V2C7EsfYAVYp0W4SmoCrBDSDWAa6HUQamJM09suSBytWMOSUMLMefI23wpvdVC3UisWXWfbIBxB5Z6BrOkC9hJ3SB6O5GeGvQEfD0KRhfwOitQpdkg/VL6BSwsiR10BKPiTnIixvbeQiaKmHZtehFU0FY6hgDHXsJk/kg06i4RHYc/JkeqmXqD/tSlr/Bk74fa4p4CI5Sw0jKGZSJ4po3T8U98E0xAALWaMIISnWMDLqUTEsPL/sIbxpygmeWWJaYGcjBt6yKsP7nJku2LxDOzPxCx++oIPDBFRhX1a9cpc43xI8cG2SDoVjBCOQ5LfE2rXr9MsvPmrXNKcb20d805B/vA13HYgftSKyU1F5XttiLw0nKS9hZAqNqwUhNDp1P9Gs9aikRpJ3nYtpp6Ok7Rl+bXSugU0EAx9WnC9xtI6AwvNXl+BpTQXiT9N4/mFf7RncBcB+Ab64k9KKi8owMesfw+l1NvcN28iJBQvASoLJMYhplC0O40VYUuE6BuOLmxh/3UxQ/Xhr9iOMqRyKaRZ4U6rikFLitoe47JyTmL9kI8ndJ3b+7SPRGwVgWRZnXngtrzz3N8affC65BSX/MSW8TxZdBLDN65Zj+ZLoN3hMp/H8NDD+Py4OzQb07DuMnn2H8easZ9i7czM9+w6jsLiss2Xw8+AIaC0QAlqb6pGGgWn5vAyP/OxkeD5NsG2bffv2MXr0KLHw7QXW408sDH3pK5PTqG/5wP2khUBFDPqWtfG94FZuWjAEa7p3s0MDlcCdwIPARjxZ4A4QdYASqGEC+mrMmaAPgp6Ap/m/T6PvFDh+G+O6TETjy+j2WxBvAfLbcP4fwLHRZynkAT/ikTnYo6qhbAwEFkB6EdTEEOKLYA8lugloB5EK7NRwkUCXNqKbk+HGgEc2/CuI8aALNCQJ6kllxcLN7k33rZBnnH1R5P9O62v/8ieNqZualhtUmkLYq9D5FyJCGnHVNZhLwS0G/Sqw+hEEDkLkoUuqUOf/BpUddzqiGpQLW0BsE+B6KXivadD1ZHYRlKsQSWITUvak/o0M5PQOWOWAsj7QlHl/S+Yy/Rue5of4ZAc1Kg+5thRbePoiDsS167sMfYaAvenx9Q/jWfs2vJKNhefAGUCr9kQEIhugZSmC76J0BrkCRNBzaGI9ylnx2i2MmOHXI4vr1MBKV7YHfc7M+Ruda88a5L/xH4/Jc3+ahTHqTVTuHnTFcHT2ENjhgjBwgCCaMAKpBTqpETd1L7GctVhNA0ndd0Y86legurJUCpcABtt5iwMsow/nUchADK8n4307CfUh3208jkPQhNYib5GMMLza7l22XkAmsMnQqJ4CQi64JmSsh6hAFpYhAq04UrB+/Q769yjFnxFAGhIiUU9zIw5DaFzXwG1NRQrNwKETmb1kNZNOTCE9Pc1jUyYea0jKygvZ9OgsRnbvOvaP1t8QTxn7k5I57dyrmDPjn5w05Rxy87t/5p2ARN1/z46NtLY0MWj4SZhWEvDf7/c/NvCyAYle7cmnX0xT40GWL5hJc2NvCorLPzdlASklkXAIaRjk5BUD/E+f7ycNv9/P6NGjAehe3F2ed+6ZyQMHF+sBRZkiuVsqhKNHdKBN0wFL4E+OcHK3elgMoBHW4bMDxPWgXwY9D2QADK0xtMLZJlE54FwivHm1Gi9bcBnIUoW2wR3yPMxegbjkr8jmMLo5FV0pwLTQ6eBOBJ46COVXgFUCT0yDgIQRf0LnDvHCtJGeUdeGgO0C2uqRDz6Pv3A8voF9aEOivyTREVDbJGxezZMLntS7Ni7QP/zBT/QVX7g45YmnniY9MyV6YXmSMb/ntTQcXA/bz4a1aTiX/A496XzERj+6ygSpUeLrCO1D7q9FP2mjyixYLyAcp4jTlV5OpNcFBgJNNuXsIoVC/SpK98LWQ2heOoCCyFbqYgMIfmg0q3HRXKp/y3y5DFe9QoNIwae/i0bhxHXsEjV/gRf5iwwQXwK9F6ShYZeXIdHJoHsDmdpr3m9qgjkvQOByEBm4NVFqtUkmkNoK9TsGY548E9EH2btMy19PeYSWg9FYcckqe9vaBYE7f/BT1IY29MFnkAfPwlh/ErzsrYCSmpgSWAgiZhg3pZpY1noEktQtX0IASiRq/fJdZ62QGERoZiG3s4PZDOFqShhLDr0xsN7T3Kjxon6B5wyZwvulNED0ATkI9D5oXQiv1Xj+UESAFAIxVmN2N4jtqUbvexq317fRrRnYoShGruD8L/+eFx/6HoXdczl4oIHK0jxSU5IO80QMoTEMjxiZlRFgcL9yVq7Zwkmjh+BLsrxOnDia6ltISzlc2fcjNzgmDERKagaTTr+YBbOf46QpZ5OTV/yZdQIS5K+Gump2bV1Lv8EnkJmV+z9JCkt0MCjlkpWdz+TpX2TTqgWse+ctevUbRnpm9v+0dkAi0t+xZQ1KaUoq+ngx0//Yef6noZRCa01JSbH4znd/IE8/70bnJzeca40f3Zfhw3qhbafz1hnnJnGgJYUDdalYSTFWb8tEpsXn323AiyCLgFyQqzS5y2JEr5E0D7AwDO82rF4H428alMYul94AoIkgzlGYMwz0hmqcqhb0bbeib7oWd+UCWLkcBlTDPg0NDbi6GUZKxGtl6JExxLcuRc+eT5/MlfQ9ewQdUQslNbbfQGGTfXkqi3/6IL2sNs7/0jC6HdjIpp1J7KlLRUsH0gIse+p6/Yau0U8+/Zw5dswoQqEQX7j0En3PA4+Y355uqFOyGo0fPLGZFiugdXpEiGuvwn0iHX/wDGIBjWYouM+ixQRc3RNZh1dYFnRZXO2p8PXESzXLzrX1hu2cxHVUsZ0mdRf9hItZdzY5A/9C47qBHD4O5kjwimEOipPdMWQbY1ju/pD+dA1XfHc0rPEieLUEjHSN0V1jKI1O8wYEOasFepSAX2jE4rfQ1QEo6wv7XWS9H7FN03IgfmJtCme2RDTt4Ills3nilgUuLRus6V/6YtL537tO/foX3xSiqU3o/D/h7/gWfUKQJxRoQZvyCIax1CoimdvQqftIqjoFX7A7SrhxnseRzZ7EJAJUMpWRXM9B1rCEP7CJMs7kbvLpTQxFYrCRxjOgdfF1MfD83JCO+xdVYH3PJbLMgDZoNRXzqyBZa7Cq0Iv2E/2ahB5rETknU5osyPxXC1nKRiSZ9Cov4OGn3yAcjjBrwTpee+xHDOxffkSNDSFAOQ7lPUpoamlj9fqtjBkxoOsBhuTxF9/mgmlj2NDY9euPpXCQcAIyu+Vy4uTpLH3rNU6YcAY5eUWf6ja5IyER+be1NrFyyVx69htGYUklrutifIZIfx8VUhrs37+feW+8wVVXXw3Am7OfRmhJj35DKSgswfJ5LSP/S45A4jzsWDRBYPMc1+Pp/38LiRkVUkouv/wy9u/fre/+29/tl+essObN/RN2TSM+v/dYn6EIBf3cuKQPL7eXENAubdLEmKJwXpLwIrALOBu4CVwEJyY3MHVtLT+fMZD6S/yISoXvVIWTLBE/0V5uNQfPUNYa2Ach5bky/N//Bx0XWaBtGDgOFqyDex6E3r1g/Q4oSoGTz0DrXhCch3FKP9zeZzCgNsY/Bi8nrSBMtM1PxDYQjk16STbXFsylZ1kG3zttt3dC410wVFwESTH8n1XufQ/PkCeMHk4sZmNZFrZtiy9edrbxjTv+EfnlV3/CKQNiPPtyvSyt6M1+5Uc/ez/OhNOQ+yzc8Eho2Ab6AeBKFIO9yNlrHAfAEpo0BJVCM1aLw5j2ABEc9vM2KVQwXE8kSxs0OhYjzBCmk9zZYfj+8Hrkg8TIdVczhArGQeco4jBd9X0/0EtAsBna3wRO0MQmSHwt2huR0KqRORq3NQbfWoTe9SbijDFo/2uw7nTUhQq2SuQbGt0u0M0CorPQy/+B1TtAYNq3DJU2htfGG8x4eLEklq3liP9Dd1wBb4co134mKMMbt5DUQDR1P81Zm/G1dyew5Utx4SHHI4V+CDSaVHIw8ZHPIEoZR5Q2DHzvcXpU/NyXApsFJGnQylsjLUDkaPRswbSMWtYNKqAmR9K2BFr32WjxAOgK2FmH8ZWrcV8v5fyqHfz0xo1kJkUg4ufW713Ks68soVtGCleeP4HKkrwPPHYpJSocZfioQcybs5h1m3YweFAftOuibJfa+hb69S1lw6IuB+JjSxwlnIDc/O6MHncaKxbOYvT408nOLfrMZAIShi3Y0caKhbMp69GfHr0Ho/7HjT/A888/z5///Gd+97vf4bouUkomn3YJTfW1LH3rFZpKe5FbUExRSY+usgB8prkQCZW/5sY6QHee29GMCDmOD0fCuTIMU1x00WXWk08+Ey3rnmfhup0cKq3BZynqGvzMbsvH/Q50IBFonNck3ITHmMoE3gBxGuhuUJQU4etXbiDnRYcfPj6I3VcmY1Uq/A0ukYDh5Vb7AKtAPwjiZ6ALJdn3hPFXRWn8YiqE90CkAyFKYMK56EvT4txwUBdqYArOvoMYJ6fwwhupdPzrIA9MX0VFQRtWVKG0JhZu5wvnTcWQgnCrxLRMVFwXXyuFkRxg9NB+5iN//4vKy/mBrqysEACxWIyvfPVrHKyrS7r8B3fbN333W6KqPoplGqRlJLH9xTeJfe15jJTLMexM3B1fh6olwGOgbwJdgGdyJGlS009qlIJiJYhx+A724neDCVzDehbwOrcwjXswak+iKW85SQcmYhwFqU0AQepYxfNM4ke0xVXzOOT9EkZwSrzrbE0LtKyXYEEsU3hh8QHA770aa9ZAYAp6zjhofQqKUiE4Hul38E0U2KEQ7pw3oOYuqDgLffJ38OdrQrlB3EKN2fIO7r53hM65AGHFUCqJmJa0+9oJp+zHTt+JIR3Stl+C0LKzte9ojL/X0+C5UeO4hb28SSM76MsFdKM87vwc0paIZ+yzBYQltBUB2XiKSCZYQU3Ultx2xWb+/s+13LXMgsJMiA0HNx8RuBRxawa6FrK3hRk3uo4000G7BkLbjB7dl9FTh8c3l4aWDrC7PktHgjQkbjDMlFNP5JWX5pGaHKCyVxnLl25i7PDeuHaX+iX8Gw4AdDkBeQUlDB8zlWULZzH6pNO8csCnPBOg48If0UiItcvnk5tX3MX4/xQf97HCwoULycnJYezYsZ2/U65LVm4BZ1xwLetXLWTD6sWEQh2kp3cjr7AU+GxnAxLHvnfXZhzHIbfgs89d+bSio6NDbNy0Oak4N4BKTJmLQ4N3Q0uErI5AVwmYB5wE8iEwFdgBvOm4Z8a5T60GF0/YS0laiKsfGcXO76QQChgeI80HBEEM1oidoJ8XBC8wSHcNer0YJOkZi+rLshBZ3TD+lYNOCuBeEcUIC8Q8iS410WMVlObjRsE31eF1N58bXh3GPWesoiyvA2wDMxpj6pQh3nFH4jS4+F1UacAO8cCd32bE5G/w85DNgw/cQyAQSGQB+MlPfophGMb5518ge1aUc/kVV3DfPfdw/+PPs/60K3AfrsXsNgyZ0x+VNBZ2REG/COJSBN0wgEpTcVLMID7iHfBu6TG6bu0azT52UssaTCySsaCpPy1DFmAdmBRX7DuazheFQBEgFS+B/t7PioPnEEyKs97X7NfY1XhjkuNVc43GIYuYeQ0k3w55IyC5FzTUeznziEJFfOislZD8J/jxy0idgQG4IQFr2+Gvz+Ls2YWws2BvEG35kETwZ1YRS9+FEzhI8v5T8AULUUKhhfrIMr4irh3gI5n+nNk5kcHt7AQQ73o8uBKEC+IsEDmgm0Cne5ISNEMoWoFv6wUMjCSzr9ah45KnUS290aveQP9lOCe0BPj66CrO6VmDFAqhPdK5G4nhBiOJig+WaR5V/GUYEhUMc+a0Ccx4dQFpacm8/tYavvfVczBkIm/j4d++8yWcgPziMoYMn8Dyt2fTWF+DiI8S/bRCa412lcf49/sZOPwklHI/84z/o8Wf/vQnXnjhhcOukTQMb9Sw6zJo+DhOPftKGg9Ws2H1InZt20Brc0On8df63QmxTz+EECjXRQDJKemd0r/HceyQcLJ69KhU48dPjDY2NCGT/GitOu87WgkCfkW+EcWtEShToJtAbPT+7tdQKj1FXf028DBU5wVoaUwi1iEZO6KG352wHvWSwKzQ6GIB2wAFukWgW0H8RcMyqJkWoPlcP8WL2xGvpKEvOg8nqwb35qUw049bacA+SdGPw2RucjzHxNLEYib+UxUzhxRw89uDaAn5kYZCCYEbjOCGIu85d28mhyYSjZGXm60KiwpRrtu5xxJOwC23/Ej27duXocOG8ctf/orSshK6F5USKB2BuOYmnNjNcEoHYqANFZPAdEEvQOuVBABpG7SgaUCxC9gNHBB0yvpoNCaSxfyBWtbQh+nsZQX1YhftHTHC/mosBL4PMf4aTSalFDKCrcyJUwzdeFvcIedNly83UWlGCEG5FvSWml6GoLcU9JCCTNkKzlpE20RYsB7mz4ON58MmhU4VOGUaNcCEqaXwnQaM7KcRbasJvTEHt34e2lmBSLHRyW+jq26g2/5dFOWvJil/KUYoj/StV2EFC72efi3fQ/L7KNBooriEcHBQvF/YrQ/9CoJeCjpDI65VqN8oiouj1K7eRH0Qfn3HbZFexYVKTdyL9ZUz6XfSWnKfuZ+fnbyMKyfuRaI94x+HISU+y8SyTHxWlyOj9IfbJykl2nE4edIoVqzeTCgcJTk56b2P+4jrckQknIDisp4MHjGOdxbPobH+QOc88U8bElH+7p0bCba30nfgKIT0Zpp/VqPbjwrbtrFt+z3ZDiG6tAO0VoyZcAYnTj6HnVtXs2X9Cvbu3EQo2P6ZcwQShqm2ejeu61BW2RcQCPG/Xer5TyOxL1JT09QZ004L19Y3s3jGIpLSUkC5CAFh2yC/KMgtPbcQeMpFhjUiCaStodG71aYDGWG8FrsB8EZKPn+YOwDl1+iIQd/CVqYHa7APSIwrtcfEqgVCoIcJVJGAm0Cshq3npPFOQTbmDoGRkQ9jNJRuQpR7LaH+UxQVY4NkRh1PaU541tRxBeY0zcL8bNbvygC/jdZehGUcIUuolcYwJHY0RntHSJ1//gWkpKYeljVLOAFKKfr3789PfvJjAikZnHZCLzLzB6GtdIySsXBbGlxqwXlA2TehvBsUvEYHL1OldzLDFDxvSV4S8C8JL+MJGFp469dGHRapDOFK0ihmJ3PZrd+ipspke7cHqWETB9l+xGuYMPAmgjANZFHJFl4gCYGFgdUpknPIdcczggEEI5VNo7ZpUYImt5561Ui92k+7mgHWGkjuBzknQ2kvSFsMroFuslD1AmpqISkdZm7H/vb3iTx2MpH15xBZtxB6/Bw97F4ygjYleYsoKltKqhlGbL2S1IZhOMLxjusY6PcLBBIjPtHw/c2ki1f3R+Ltv9M1/Exg9JC480y+N00wf94/aGqOOH1yMoOpSdruPdPV39vewDlpyfz6GoNxpe3YIfn+fYaJYwq4YCpkSvTDHtp5FoFAgHAMMlJ8hCPv7cY5ZmOOEk5A9/LeKOXyzpI3GD5mMrn53T9VaXUdP5aDNfvYu3Mz/QePIe1zKAObEHF5P8hDugWSAsmcMv1KDh7Yy5oVC2hprCMjK5fi0p5YcWbXp700kDi+g7VVuK5Lanrm8d7/TxCGYeiB/XpFG1uCnPvlO/TymbeJ8rICtFK4WqCF4uIB+9jcmsnv5/TGHKJwsmVnO58r4hNnfSAaINho8JeMSnLnx7h+wg76dW/iwQnvoOaO5JVBBRi/0Oi1Aj2dTrEg/RfQ14G4W6HvELCyGv6xGlIkPDIcxnu3UW1DsNUgasqucM4ro+O0CZJdlyS/y4eJwUgpiERt0nqWkpuZauzcuSM2ZtQwn1JKHBpcJD57WmtisRhTJk9k8uSJ7Nr9Ze5a0YZ7/59hVy385EpkUiV6ej90ykSonohe9TQNrWu9nvBIFDKGQUTTHoWZ7YIz0PTQgmU8TW/OJIMycqiglIE00UIk1kRV8m9ZwX0UMIQseh12DhodN/Cwh2W0sZ9aVpHLAHawColBKvlkUkCskxOgkQgUml28Qz11RIlQI/LAagC/hFwHApVgXgE5YPhBi15ouREx7ETU60shdgAqn4OhfaElDL4KBLXobr+CwotIamwj/cAysgr24hp+Nm69FB+SoT4b1z66Ov8xR9zzEclAtYYJAtESxq2qQa9rYEVwu2rcsZf80uGx3v0GZUsanR+PWqCvvNwnfnPTYoaWjCUpOQXDdd438aw0SFPz7NtltEgfpb4gpw074A0rUh9yz5WCNZurOGfKEFau2cK4EwYf9udjumIJJ6C0sh9CGqxc+gbDRk0iv6jsU2FgtdYIKWltbmDtigX07DeUguLy44bgAyClVxbQSpFfVMZp51zFrm3r2bJhBa3NjXTLyaekvPdhGYFPnyPgHVM0GkFKg27Z3Tgu/fvJIhQKs3XrRnnxmaOpawxx+70vct/DN+NU1yHQCNsgOcnmJ6M3sHNeCi/YxcjTQP3NU8LtrLZaoKtB9oa6L/m57c6+pK5wuGL0HgpzQjx0ygq+MmcUM8OFMBqvFBAG/CC+4nV86S8p+JuJnbkLFj4B1/0fjBsJMQWmREYUkZhBzPJGa+MCIs6rtyRRLXDco7t3mYZEN7dw4TnjjOee/kdo/LgTdUn34iSgk2yb+HwIIfD7/biuC1rz53sfwp+SwaI1e0iRUi8bd4Fo79ZT6St/IVlfgGjsgKJBiLR1qObfI4rKESXdMIaU4z4JDZtcXu0QTBeCDr2fE/k6ZnwEsIMii0wEmaS7F1Hte5LhsS8DXv+7iHP6/Qga2U8z+znAEnpwOqO4gEZa2ciTKCQx2hnOZaRTgEZjIHGAHcykmrfpxgkIOhByL7L/WVAuULG96G55sP8VdEzhbtsI7Ztg/JfRTQ8jgreht+2E1iGI2gi0rETnDkdHphMITSRz8xJSdStJRgf7G6YSCmWTYbh0M21M10QfRVr8E4X2WgB0VTXi4Wd06qrdOsVA1OdFdWH5IP2H3/82GTT9BgyTyxcto6I40x4wcIixv7ZJ9m8PkpKWDO6RR2hrLXC04JrnR9AxyYJaeFIt45Ihe739+gHnHo3EsAyDkaMHsnDhKlau3YLHlvVwzF2mxBjhkvLeGKbJyiVzGT72ZAqKyv6rhjZhmDramnln8euUVvalstcglOsgjf+C5/gZghACYRhordBKU9l7EJW9B7H2nbfYsXkNwfYWklPTKavs1+kEJp73aYBSXnta1e4t2LEoFT0HekHe8fT/MUfic9bW1iZXrVxpXTF9PFFXcfNvHscNR7v2hNQ4UYu0bjH+MmYlG99MZ3v/VGgVntG24/VJ5fW706TBJzh4hZ+fPtaffH+UM8fsJb9bhL+ctpJbZ/UnvNJjn0upqI0mM29fLuFrDETERH8BxP3jEf8nUS/PhsxM9MB+0OAS2OEyvEcLq2syaWz0IbO9mFYhIQDNZirt7QKFt//5gG1jmgZuczuXX3sWa9bekXbXnX+MnHv+xdExo0f4TNMU4DkCQojOgCjRcWTbNrfffgcd7a2kpmWIB//+N7Zv2uC++vIf9dbqzahgs/BlBKRSkDlgigqX95fKvQd70BeQ7QOJJvmoWwUz2mOkEmITEfweawA/ElC08BbmAR8tgfUcjL1DHiNJQhIFLAS7Wc56nqCYMYzl2xhAOzYBMpjI19DAGv7FQvk3ThI/IQpE9EHq1GZ2s5P+3ISfPAJ4RDg9AsT+t9HbnoWxEvrHKN9sMWaaT2/c1qSiobt05TsN5pwNLkZqPmbfM4lefjl6TH9806Bb+06S7Flk+JpJqhuHbivjBCDHZ6OR+LRBro77bEe7R+OMha5+/sTP7yX5HTVsG1Hig1vuYlLPWvesL50jKoaOk+eNKezcLVpr7r3nz+LW2253v3/rc3aKX+u7fnqZlZKRIrDtI763JmHfFYV9o+z+koHPdLnsJ2MYU9JERW77YbK/h0EK5s1fz+QTB+JEooybOJLXX3vLG1Udxydi+YTwhgcVda9EIFi1ZC7DT5hCQXHFf8UJSNyUwuEO1rzzFrn5JXHG/2drwM9/G0JIhOGVUTSaISMnAPDO4tfZv3c7wY5WMjKzKS5NpBU9har/tiOQeP+OtmavVcs0j2d9PmEEQyHR3NTgnzZtDJs27hG52Rm07KjGZ5mdDqKUCh0xSUl3+coJu/nuksEYGZpotqC2xmNf0wJUaYzRGgeBWaSpvizAzx7uT4/sVvr2aCU/EOXeaxZ70/O0AJ9LU206331lOP98tgTn6xLhasS3FfKxk9C91qDnvgED+yEExPIkPQqCDDrYzN2zBlA9ycSoWYLeWQsFGYQODCEwJBuZ0QxhcJXtKbm9z74WpolT18QtN1zGpdf/3r9k4fzI+Rdf7haVVIppp04RGRnpR0wnWJZFLBYjNS0Dx1V89UvXAlinnT7HXbZ4qVvf2Cbu+vMdAqA4VKOan/klLVG/VI+8irrlMsyMM1CjRlC/xUfjwZ7UqxY0KQidMI+SJh7BsAcxqGAwyzpeZpQK42BSylh28DYHeIdsenMCl9GBG88NWCg0jdIhJiTZ+kzmGxupFzEcVtHg7iaITQ7fpEqauMLG0TYEFqOrm1Fb/4n4/kkwZRr4BjH+VXj0G4gNG7a621a/4myraRWvr9pqyKLR2Of/GtMI6uzFy0Ugu5k0UUfDgZHsqjmDU0wYIVy0lhgxq7Na48IH0PQOh6db4I0sjqGQSCxkZ0ufOkrd//dedImhHJyOGq69/hp5+RlTJYDj2LiuwufzeS3nwaD48S3fN1cse8vs2XuQipoF4VgwluRLMuShqn2dLxv/blgulxfs5da/9yc00YIT4bGdZdySsRnTOqSjJnGeWiP8Fm8uWc9tP7gc05SoUIRTT5/AswuinY/7xEJfzwnQFHavAKawZvkCBo1wKS7t+R+/+WqtcV2HLetW4PcHGDxyfJzxn5DVOo6jRaKMIvD4AQLByBNPBWDJ/Jk01h0gFGwnkJxG97Je8brWf9ER6Jzu2AZCUFTaA/jvOyX/61BKcaCmxti85yDlZYU8dPvXMJP9uLHDIx0hND7DJSnq9TeLMeAYcLAm/vcWjQoCrQK5XOOMFhilmpUXZHLFs2N57Kwl9OvRSqg+BcPwbqCukmSlRPjtaWtgDjz+TAn2/0kICNw7bERlGnpaFmiNznZpOc3H7S/14abMbXyxbQ93ff9N2tMWIv0+dCCKvbaEmfsNuhnJ9O7eA19OOgQj6GjsiK3OAo1pGrSHwvzfdeeIQJI/MHfRUve1fz3mbli7ivLKvsbYsSOMAf3eO1bd5/OhlMKQAsdxcF2XU6aeYpwy9RRj5cqVBIOtvDF3Ljt2bDEdpXVmpqFDjZtRt/4UjLs0ZTdIN6kUmWoTDbwBGVehheH1CLY3IFoGoNXVKHsf6dkR9jY2gVqDQ4T1PMl5/AWAdhzkIeZBC8FWy2CdApcwQbecavUPvFFA0xG+gRws05DkQMQCvQuj6jp4XcN543Cv/z4ARk0Lr971M76zK8of//CAryMcsn77yK9skZphqI4Csp5cR3LtfpHqa6LGN4jdG06jP3BSkk2+Y+BqA5vD2etHX1jWGAh2sQyTAGUMpoMwDVRhEySL3gRI4fBO+SO9SuI6J0Ydu2CZcHAVZGRp28yRMdtBCIFpWJiHWNkECdTvC6hTTp4kK/v3azVCqwytHf/7vacpNG7Ix88uW4nxCCxYkMvapAy22KlEXQPDst/bzimgtaGN/JzMuMMtOoWCDnvto167j4FEOriwewWGZbFy0RyU8soD/yknIME92LV9HaFgG0NHT4r3fn9+GP8fF4lBSIeu06H/Tly/hDM1dtJZaK1ZsXAWNZE9tLe1kJ7ejeKynp0El/90373SGikEe3ZsIhaNUFza81PKU/jfghSIXXtqxBOPvs6vfn0dfXwGJPloOFB/GNlJa4H0uxSbYXBB9NewyUvOSktBNqjREtGmMP8JTiW46QJrkGalzuTy507kkbOWMqisBTdiYkgNhsIJ+8hPDfPbU9fALHj08VLUdQKZK1F3KJgcjDOifYhuELkI7pvbl7Gb72X8nmf02q/fT/WU/oI1DeTXP66XrpgT27u1RfftUWD1qiwWZ04dITNzM9GhKEIevpeEEOAoSkuzKe2VDVIy9ZJRBm7U+PvtT6i358xwZzybwp33PW5UVLx3rPqhpQHDMNizZw+LFy9mzZo1/PWhv/D666/z4x//hJaWZvG973+fRYuWqD1V+yjKzdbaXc1TixahDAVtClgDFWdgVXTHefs3IEPI8q+ySfVlbPLD1DV8g5PEmSzU15BDPxQaF/cw4y8BNOzSmh22gdejsR0p8oEvo3UOJLuIaQbYJtrcDLP/jtv/i7D6MVizBebZYErc2jBZGc2kpBTzyKP/5I0Fb4tvXnep74uXXULJ2KsJNO6noy6LrS1nYEUgzXLJdSQjIxYuXrTvj3//aNBoFBYGW5nBfpZwHg/iJ5c1PEYHNRQzhkqmkkNlXPPgyPeIRKdFIq8i0GhTQ+NC6FWu/TkV+CxTeNf18OeapokQgm99+9vi3nvu4dmnfL7bbzpVZmcFwHbew9Lv5KOaimhdKj++cjXfrEtn5sYCehQHSUm2weGwvIX2Ng8z56zglAlDMEyjk/MkZaJfI348H3kdPyISnIC8/O6cMPEMFr85A61cSiv7feJOQML411bvpmr3NvoPOYGU1IxPBSHxs4DEGnkZFI/A1NzcTGZm5mFKid419PQDpGEwevw0XNdl2Vuv0Fh3gNaWRtLSMymp6NNp/P9TjkCn9K9jY1m+Lunf//H6f0KbHziMePafQiQSo6IkT5x/4URURxjXcTCdw9dc4DkAwlDkqJh3R80FWkFXgtwHapCAyRq5BZx6idim4ESBExX4BitWd2Two9cH89SXF+ITXTdCM+EEpIT5zanrEHPh8SeLiF1mIbr3Qy9YAYsWAQLd2IwYP4zQ+FReuWW5/uXXb+Rrw/uLRS+GsdJyGPDdG8XpfW+033zhSfftJavkLx94Q7V2RK3rrp1mmKLrXDqhAUNT25xEfYuFITT7an2E7BR6n3iLHHFhkbz11l87v/v9b9277/yTkZDcfjcS0sqNjY0kJSVx/fXXE4lEKC8v5447fk8sFuPkk0/m7OnTpW3bdO/ujXmrmAEblz2r3Z2zhA7toNb9h161fAeyebMgxcCZ5iLb0wivSWKP0Y5SfpJ1GsWMQUN81M/hp9NkghQGkt0I9qNoQ+mfe381XOhvAEGomklgwCZGjTIpvuIHtDwfJlnnUb7RQksXM1DItcsfpTcweMhQ8rOT2bgygE7ri1NwKptmDycpBOViJ1JrpNuTmFAcOOSQfBpSlTisYePD4ZlqB81J3MCzrGA+t3MOD9CP06lhJc2sIUY/UqmkHYV6l15iQvt/L16zioVnV1tQCG2iQ3vBKAKza+BOog0+cS9NtMafeOKJoqGhnsefeCb7p394Rv3hlotISktBR71W04RTKKXAVd70Ur+liDUlk+GPccXpm6DVz8G6VPLzIp4YVtfGQZgGKzfs4vIrT0UHI+8b9PxH2G8JTkC37HxOnHI2S96cgXJdynsN7DQaxxqJD09rcwMbVi2iss8Q8gtLj9d+jxJKKbZs2UJZWRkpKSmYpkkkEmHGjBmMGDGCQYMGvesZIn4dtZfCNAxOnHw2ruuw7K1XaWk6SHt7M35fgIo+g5EJR0Cprt7rY4zEpm+sr0G5jtedIsQH9vV+1pFw1kzz8I/2f8rpTVzHaDQqivKzxLDJI4jtrMLyme9/jSUk2S5W6v+zd9ZhdhRZG/9VdV8dd89kkpnYxN1diRHcXRZYYFlkcXdnYXG3De6BIAmShIS4u08m4361pb4/7tzJJMji9vE+Tx6YmXu7q7ur65w65z3vsbF7C0QiqGwwdgj0zQo+FIRiJMTRXPoEOJr7rxfZ+Csk5aVxFGQ2YhsSIZrr2PWIE5AZ5+OOCStwf2Tx1Iv5BI8cgGyTjz3rQ2ioh4pKZFEH1NLnccan0qbnOKZ2NpnaOdINNOKZOGJnHHY0Mw47mpNPWmPeevPV9qDFG2Svod2FVdfYogtgK5CazdbqOG5c05lVRgIup83K2kT8aFClYLHBmKn36vOvGWcO+e8L1qFHHKO5Xa6vPZ/oz3369KFPnz4tv6+rq2vpvhgOh8nIiDTvsm0bwzC4eaqEqYcLOByA1Rt3iQfvf8R++ON0m7pFGvUvosqnsqtuGAmZiwiXjCKHIjLo0VLfH939CsAQsMIRoMRYgM1eBDqK6ZHSvo4ShAb5wPoQ1D9BzGphX/Tcfeb4XpbTNfG25lHbRNmTJZvX8NyXi7n0n3+jU4d2bFi3EXdiASVJbZGDwP7kJfaqNxDkkcBt1GGyW+h4RYQXkoxioBCkW/ua8nyf1UMgMbGJJ50hXEITZQQJUswQGoQHUw7AxQA2oki2JbEqcr7o8aNXsA5YISOCVUpXGBaYsaA1bgVy0Fq9e9/0zkkpMU2TadOmM23adAYNGa1emb0mdPzRQ1xWKIwe542kFEw/+MNosRaEdKyQji4UwmHz2tsd2SJiWUEifZbUctHE9diGFlEfFIKS7WUIIfn8k2UMH90bQga2YTZHAPbhV6O/RzkBScnpDB07gy8+egNL2bTv0J19oZKfxwi0MJGbG/zkt+9Cuw7d/vQNfn5OhMNhTjzxRA455BAuu+wyXnvtNQ499FBycnIiinq23WLo91/YxX6lg5qmM3jUNAAWz5vN3vrt+Hz1xMQm0KZdZxwOJ/DN6Yafiug8KC3ZSijoJyUt608Z/VFKNd+/SDRG13V27NxpbNmyVWpSaqNGjURKidVKle7A+/wzvxfK529UUirNamr6Woj8658WOBw2sdKkLscJByt4TaCGC6xPBXKnDd3ALhKwGhgKqgHMKgk7oHG3A1lkt45sNh93XyQgxRPkxgmr0D5SPDozn/C0dDjxBGR5GfKxBzCffQFr9R5IPFYEnXGYtkXIEDg0gRASTShsy1SWbYtu3brqYRVjzF+23uo1oud+a6itBNJhs2xPEq8ZuTQO0iO6BNmgN5tXicYn68N0OeU+eeX1x1mjR44QOfmF8tvWp2g0J5pS7d+//347uuguM1pWGDZBwwQVEV7q1rENDz1wk0y54xnrifc7Uu5bi1q1goqYRxkc9x71JWPJYQCLeYAxXIEFmFjNe2aBVJIqYzUV5mIEx6HIjTDJRyhoLyJWxDahKBkx4t+Ejj6Rmy45wXw8u51z5JABTJkyxSrqUKSVlZWxYtlirrn2epYtWcLbb71M70HjSc7uyPnrN3P366dBj9NVOHeWCNf7wdBpMiRYBpjOlvuxXUBYtxkubDJMeSD/7TshkASw6cAYNCLEvz3SYqfozRYBK4WJgaQ7gp4oEqzIdiEqd2wBCYAhwddeRUr34pxojc8h/S709uOE5kGAhW3Drl27VGVlJV27dhVe777IgK7rhMNhLMvinjuu1y64+MpQRkpSYPzBfdyLPlouGhqr2RIcgT+7F5l11QzpXEHb3DoIOlhVnsRhXw6CIUAXmDk7D/eHNn8fvwEMidIcvPbBV0wa2YsV63bQ0BRgzLDueBJjsX0BWtvZX7X+LTqB4xOSGTHhcD7/6DVsy6aoc08iRLGfnpuNHsPva2Tlks9Jy8ilqEvvv4z/D4Su64wcOZLbb7+dtLQ0Hn74YUpLSzn33HNbPvNdhnRf6WDEEZCaRr+hEwBYvugTSndvw9fUgMvtISu3HfEJyUA0IsDPkh4QQmCZkQRZXHxys/H7c9X/m6aJruut53Zw9gfvO5568nFz147Nuu5OsD6aM1b75/l/t1JTU5zfdpyoQxctT/sp76FhmvaKZSsCBfmZsZo6UDPuWyBAGSLy7CcJ1DKQIYVdLLDXSsRmBQ1AMbAaMjcHKfY3UFnloJ+7mriYMLYVef9V1NA2X4Ou2ZghB8muENeMXYP5vsF/Z3cinLyNwINXYs+rU4P6dWHwjAsIpHYRPeItdKkhHRCd4kqB7nCIitJS3G43hx0yTbzx30fluEVr6dirI3aDD6k1f1gIHMomId8gWCBRDoFtg2VFrs+q0RCdLbamdJHGexPlPQ/917rlxssMh647lIrw2Q/k3UTftcbGRvbs2UNhYWGL833ge+jUQaETbXtr2TamYXLjxSdqvQ6Fcz9D7Z3XWYhCi7rNucR4KsgKFLGQB2igCoUghZQWw1rOTqrsj4ALAC9gQ7KCTsAjtyAmFuE45UhwgRnMotHKkds3z/aa/ipe3Lo03NBQa5xw9KEx1dXlbFy3nKXLVzBk2AjatO+GaRi0zc/ngosv58OPxrLqk3MVHU8Rsm0savlqtPytaPntYSXY5QqlCSwL1poSdJvhuk26FSHQf98qADcSidlc+qhTKiWbMakyBZE9vs0iaVPjsOkqBNmWwKkik1QKGUlbSYXIEmijdcwFb2OVPIs16DKo6yb81aDyLTTNyZVXXqni4+PFLbfcgtfr3c/GOZ1OTNNk4OChHH/Mod47nn6/qaqy2jQCJY7PF23kydVdYGQS9BjAlOXlHLF7F0f22cn1H3TBc42FlSAiVRqdFefe3pOEJWGO7rYL3SUoLavm/DOnMnZED/7z1Czemv0VPTrn07lXEZFuRRH86gXwUScgNi6e0ZOOYO4HL2OEAnTpOQghfh4hGSMcZsOqr3C7PXTrMzSSZviT7fp+aei6zh133MH69es5/fTTOeywwzjvvPPIz8/noIMOYtmyZVRVVTFq1Cg8Hs+3PreoIxBNDQgh6TVgDAAbVn9F+Z6dNNTVEBMXT3pmHqnpOS3f/SkNpaI7/b0l2wkHA3TuMQDgT5X+aR3q//DjOVZ2Rmp47pyPzfP+caF226XHeE4+eAZIT+DF196X/zh/kzVwyHDb7fYqKSXeGC+alEIKpNfjYtKkifu9I6Zpfut5ow5CNM0WRTS6UF5WIT6f8774xwlDwRf8Wtjxa1CRDoGJHoO6sAORB+Ic4DqgM9AEamezcxAGdQ8MK67kjknLCZFEdlwjMXYTAi84m0PXUqCCRkv0QZc2VshBitbIbUfsIeGVeh47/wZzTGdbtb3tCf28Y7IockR2btFQdeupF63djzpKRx5xuP75FwuCL7y9QL+6a3tdOHRsM/IZZUgKs32oOTZGJ4mW2VylJSOH1uYo1AIHoWsNYu+7irsmHSVd6irr0qsva4iLiY8FZOuIWOvzCiFITEz8n05a64CqJiSay0k4bHBoO5uKtZXiHHSU1NhhDqd/zueUbT2M3uow5nITHuLJZSAOvEgEDZTSRhTSKL0EbAuBRFnA3s+h/mb4rA0eXxOuYBixcxNd2m9Hifb0Kc5XQ4cOMZUr21FduZe2RV3pO3g8WW060qlTZ4q7dGq5Lp/PT4cu3ZUQ66i23lG7rFzwrBKmtRmzzaWItB44VmUgNtqYlgYK1pgSqduMlIoUS7Ts0r9jmuEg0jG6Gh1BJHW+wwZfs5ZhtJNikw3rw1CqQzsRoaZIBV4FNRgRtapaDVXyqOoZ/64ovuhKXANGUD/fpsBhI6ST5cuX22+88QbPP/+8SExM/MY1Utd1QqEQZ59zLgkJCbEX/euS8N//8W+lD0sVKSM0GhyfwmSbd/0DefeuDAbk19Bk6QSWa4iRkYsyDYHrfIuTr+zLIR1L2bp1G727tSPsD+Jw6Jzzj8N599VPmbd4A/5gGCjYd/7vuF+/GKLEQLcnhjGTj+GLD1/Ftm2Kew5CSPmjCWLRRX/HlrX4/Y30GTQ28tL8BiSoPwMMw+Cee+6hffv2NDU18dBDD7F+/XqmTp3KCy+8wBNPPME//vEPbrzxxpZ0wLdD7CMLNjdd6tStP5269Wf39o1s37yGgK+J8r27iY1NIL995xbj/1PSA7XV5YSNMN6YeGzbRIg/h+hT9H6/+94sNfujOXbptlVWrNdpSLM+fuywblxy0dGRPKJleiZM6cX1Vz+qz337USszPc0Omxaa7iJo2DJoKLumPmRt2LRVarouOhS2s8aPGyN1Xf+fnlLUCdgXggYpNbVpy+Z6f2NpwpBRvbHqGtF0+d1RACVwOWxSHEF2BLwIh8LuKlD/FPACkfVKB3qA8CtUFaQWWuTnNbFl1S58QZeK7d1VUFJKU0MAAH8gRHp2CkZTAE3TkEIoZYVF2BFHoK4C36f/tCYMzQ098tRMR5w3XmAHCRlOhNDQJGgHLD9RRyspKQnTNFUoFBLn/f1M8/yzT5OvvvQRR50yDbuuEWFZKEOna041t+fu4Ny3i6k5EmQC2M3UdZEFeEDUSZq6ufE+dJ247aI7nJWlpzcdc+LxwWGjp9ialLEQccTq6+tISUlFSklsbCyxsbE/YKbsg9PpwLThrKmZ/EN5VLjrNuHf1o6wYw8fK5goppKm1vIp97OGmViEGcQFFDCaDqorCZrJAnQCNoighWqsRqQMJW74WI7zLgyHajeEXtwwLy5z8kBeeWehXdNom4NGH+Y6+NAjNE2PEh0VEyZMZN26dS1zR9d1SkpKeGnmf0WPXr2EXluOKt0Ko45COCtRT1yMOu1NzCkSucuCsIo4eDZstwXdBGTSLB39XdOMSNPI3cCHRJwBGwjYCgMJKRIlq6BpLsLwETQFQcOmHolOCCk7IjwjsC0HVhzovgcwXn1X/P2l/3Dq2PZgmjBCw7JMTBPzyiuvQClldezY0aGUkt+2SXK5XPh8Po497gTeff1RrninB/yrI0wGPohBLNmLc7ifjr0spGVz4diNJCwweLkuF6aD7oxoOcalmricOm9++BWnHTsRp9OBsm3MyjqmHDyM0i17uP7elxkz/Yx98/pHzaSfAUJE2JBOp4tRBx3FgrnvsHzRHIp7DcHl9vxgsl7U+Jfu3krJzk106zMMjze2xXj8hR8Oh8NBUVER9913H3V1dSQmJgKRe33CCSdgmibV1dU/8KiCfeWDEcORV9CRvIKO1FaXs3bFl9TVVFJXU0FMbDz57TsTZUlH89zfxzmUUhIMREJdGVl50Jx9/TMg2sVwzZrV4Ssu/afsXpTKlece5iwp2evs26MDtmURrmvaF5JWcPWt54AvqJEQoxEMQ2MAf6OBP2yoHSW19rP/fUvU1Pn48hO39cXnn5GT1xa326Pi42Opra2XgUAAU2nExcWow2ZMs5ISYuSWbbv0wnZtDnT8Giu2L1ahkC0tl1NZCvE/e8+LSN/0mpAL3M0VSwoYTCTM/AQIH8h6BdKCLjq2Gc+SWUvUVY8tFD07pon2i9eyY+1Ou7bOJyqra0RMbCz33Xgm8e2yoKYOQiGhJ3rR4+K499zH1OKSZOPl/z7ijPPGOwIhE5fTjesb2mNYloUmJQsXLUIppWzbFomJiaK4uBgptZiYxIzwnY/PshXIo4+dCJZFqNGHCMUyvPBtLvhwL3c8O4qGEzVEfOTazBECRgBoELbwT+2JJ+YBnrns3uS9t98efu+dN3yTph0dGD1mLLquexwOB2vXrw8tXrxcNjQ2ybTkeO2QQ2bgcrl+8NzRJVi2TlzHCXZ1yrOamHINZXOLMRI3MruhkElcilQ6kMyX3EEXDiOJbAzboq/SULrFAiUJKg3M4SjPfxD/uYQ+C0OqvXo5PG91pfnlynJx+mmncMbfzqJn776abauW9Vwp2LJlC5s3b96vFXlWVhZnnHEGTqeLYNDP2R27sbfb39R9CxbZxrqbNRHXPtJtr51CW7GvDNBBxIh9k4PZul6/5XkSaaEsgDoNhGWjUiVk7oTyD8DejcxrROgusATCsgiHJSE7CIHlEF4KdjICP469C3Gc+giujvlYpoGFxPSH8XrdPPTwY9b8efO0yy77l15YWPidGxilFDExMZSUVWKamp3TKazKDzKF+Rbw4GJE975Y7dyk1tdSmNhIYWwNPdPryfuvn7saOmBmCdAFdeucBE1FIGAQH+NuTqWKiDplXRPZuakcffAwKlrdLKF+43Zu0d2+sm0Wz58NQtCxuC8JSanfu0Ig6lnV1VSyaP77dOzSl7btu/xiFQb/n2BZFpZl4XQ6CYfDLbXJAE1NTWiahsfj+R9H+W6oZpJT9FmFwyFWLv4M04iooklNIy0zl/TMNi3f+a6oQPRv2zatoqqilH6DxyHkgWTFPy6ifJbbbr259o1XnktYOP8BSSgECIU/GLlIc/9K6bBhomkSy7KRQqLrAmJtCMlI0jg5ETBZP3cDM9/+QlVUNVimrWxTOYTHYUtfUyMZ8QblNU2qqFM/0xOfoFVVVet6fEfVpk0b1bdPN6OprsL+9OO3w267MrFrUS6TpgzB8CkcWjOT2qFTVV7N8lUbGTdpOLbPD0JDesMsXZXOgDWj4TywQwLlIkLBdhDp9HcF4AOKQCQFaffBXRyR9z5x6Z3DTSF8W3fWuRoDQVdTY6NESkp2brcH98xj1Nj+9OncOdyjW3F4/ZYtjrfemOWau2S7/a8rb2H0qJEOwzC+qzGWMsJh4XA6Q+ede4767PPPXXfcebcYNHAgS5Ys4eKLL6ZrcZdQXps2xqqln+uDume7/37GwcRmpoAu+dcFj3LwpDZsqD6OC8OdqT3RiXCCikjO7SsoD1ng0nCvQLW9/wPRw/8ktm9voF3HAWZuQUe339eorVv9VVALVeht8jLktXfN1Hbs3Clymwm5Pya9mXnaVqv8qxkaHy3FeW6YrhUvsv6z08kRJtPQSVIwm8vpwQmk0QEPEUJgUNrMtTXmAUZ2DYmJh2IcPY3e9cVcfJCHTI8VDhq61rdfP83jdmEYYRy6A4QgGAzidn9zyeM34cnn37Suuv0NqyG+3ulLGYbaZSLz/o58x40pI41wkjXFVAEdTUGQ/V381nXx0X9eYBXwlgC/buLoJAm3WQFrnoPCRmT/ocquPglCCHT2FfwDVK+DqldBBUE5IPt0MHN56CKbUwfZOCJRIuu/L7+hZr/+uLZ56/bwxGlHa6eeeqqenZ39rdcZdehr6uo55agJoflZLzrrHy8U1nRgy1UQbIO8+kTskJN7MlZwVp+tuOJDkGzw1AvFlBluNJci2CQZn/EmviYfwwf3xKFrtHaNbKWQsV5e+SSyMTr88MN/uwhAFNHqACEl/YdNYtXSL1i9dB5Fxb3IyMrHsky079DqjzoQjfW1LJ4/m4L2XWnbvsv//N5f+H6IGvxItGYfh8y27R8dijwQUWXBKGHQ6XTRb0hEXXDLhpWUl+7E72ukvHQXsXGJFBQWt+pWaEfYyjLCWQZaHAO/rxGlbKSmY1tWMxfhj49oLfH0gw/xvvD88/ZdNz4j/nnWwcKyLCEVgPo6MaxZgldr7isetAR3vNgZVQBKKOywTXuziRMmZnPdqFMFaDo1AarLmkgpSAPlYPbKXNav3s3Tr36g79xey7hBnVV+08ds3ulT6+d57YWb4sTmrfWJOQlBdcejp4rKJkhzVGGYLr4zoWCD02sTEzBp2OVAa6OwjCi7HJzLbfqLKoadH2Dv2kreePAZssRy38BTDremHXqoaPDFGvHxiY6KinKttraWrMws9cW8eWr+l1+JT74sUS+/97YV4/kw3FDfIDds2aTOO/ssOXTIYBklUH4LlGVZwuF0hjdvXOdbsmSxd9WqNShl23FxcfLjjz8mMzNTjRs/3nX0scepPTs3h4497iRKSp9wDxvWkwmj+nD60cMxLJ2TR61h45Me7nqtEPMoidCboxxRC+XSIKwI9QyLDcdPZEz9aDWx8S7P8hVfsWXpOtOhocb3be895oQTWb5kIxW+mEB+mzYtXrdlWftFOqWU/9Mp6NerjZz1Vh12hsQ4043jYYtAH5PSZRofiTDTVBAnCcSSjCUUy1WkMa5layS46umRtI6KeAvZ9jhq1s5mY906NbfHNdx9XK4zOibDMNB1B00+H++++y5DhgwhLy+vpQti6wiGUgrDMNA0jbKyMl559VUeuv9uIQ1bNG2UaMmfYQ+8BDsYg2oDcpdqKdA8UBQoWrIXTQk4iLA6wkTMod2sF6EMG3OYDssfQcQoePpxUDD9K4viRAtLE0gUjYYgYCqkowtKv7p5wOBwQuMim+J4cOg6y5avNN97f7Yx5/2XtQduPkFfsGibft6VN6oVK1aqhx9+iLS0NPFNaQAhBKZpkJqchDc+SRglSxF1BZBaB4EO0Dcb+wlwvK244N6eTC0qY/eOFKqr3XTJaaC7qkdZNo52bm67ewt3XTcBh0tim4rW9BspBOG6Rlo3s/hdWEgRYf+BEHTvM4wtG1awetk8wsVB8tp2/FZjHrmZEn9TAysWf0pWbgEdWhj/v4tL+9Pgm2qUf+7Svf0qB5odu8JOPSjs1IPa6nI2rP6KUMCP39eAUpCelUd6Zl7L96PcgqhDaJkmbdsXR479JyKBRhYMk06dOrli4+KMi296joG9OzJ4QKdIE7tvybi3fk6VATdXf9kV1hJhQjUb20Z7KQV6A9KhGNHNICVHECirpsHvZOIzw2BCexKuHondBEsbEZOzTxO1O3bJDz5drm+f3hVnp7asXvS2GH/WTP7+zwu4bpqXZE814fowmmZjH6B3rmwLKyTJS2/khg5rueOtjpSM9eDobGMrgZLgiTU5bfIeTmy3TN336puGahfk5rses+KT25q1PpWQFO+NA0hPzyA9PQNATJ48WZ88eTKmafDsM8/ELl22LHbcmBEUFxfTsVPnFsnd75q7mqbZ782aHX7gnhu8I3pmuv0NbY1t23ZJgDPOOIP8/PzIl5Vy664459FHHRW+/8FHgqVVPm3Fsg2Oow4eQY8RvaG2kXMmr6f2fQdPvtoW87CIsMt+mrM6iIALbaTJ09cZ4oYjBzLluH5gO3QU0OhH2TY33POKFZfW2XrksafChe3b2b179yQpMcF9IP/GNM2WyOjXS3XhhhlKvHtbltJ2GMIe46Dsvr7kDF/KntX9CRsOSmUtSjWRpNKpVzAH8CZsxustR2oBLCuMaIinvOhUArecSsP1V4mnrzrd7hQ+Sk2fMklmpKe3RAqffvppQqEQaWlpGIaBlBKXy7UfKc40TTRNY+XKlVx22WWkpqaQmlUgzGCVHNXDxUvlvZXV4WDEvFlCeRMRCYOhPqLdb4poU+IILGA7UCIUmhK4haIjgiS1r28ACugmwQfSPQE1eRWaYzPme/nitHydKWMOKJhRgLBAtSo6VBoMsQHF66+/zVuvPmnLYLXzP9cdq3UZ2pNHn56tSU0Ybdrk2rZty+8KtksZ2Qh37zcqVP3BM9pXL4zVGttWwMqdqL1TYK8T01DEpFk8szqfF/Q2lFoezN0C2x2R1Ja7LCz5Kd73enL7YVtIdvixLQ3ZrIth2wpncjyRUFrLtPudQETfJUVhp564PV7WrVyEEQ5/Yw1/VDvACIfYsGYxXm8MXXsNiXT3+xMxvX/P+KUqKyJGvDVPQJGUksGgkVNRSrFp3TJqq8vw+Roo270Nb3wkKhB1+pRSlOzchK+pgcyctn9K6V8pJbZl0bdff2PVqpV6bX0jQjXXQn2PpF5D2EHauBC1bzghCJSB6iX4+6t9yDo5iKiAQz/azfjMMqaM2olW7iAm1yY0Q1HfHFBtRHLSO+kQkw7H9EX0AxULTDsR0bCaB5aspGF1I3+fYdKvX2dAEdvkx7JsLCtSt6/FeUHTSLRDnDdgA8l6gBvf6cLGugQYBFSBr1TiTYxl3meb1MvLNfO5J57Ss/Ny46PXYtu2anZIW3ZYUXa50+nklFNPU6ec2nLpAvYJhX0TmiMD4rPP55kvPHGPe0y/PP2ia06j9xMf8vaC+UydMon8/HwqKiqwLIvU1FQqystkUcfO7nvvvSeYlaQF33zzHd8Vt78YP/KzZfLU46aQlxvHNeOXYb5j8ewr7TGPEEhdoRAt0jvKAzY6yW6T+oYmYnc3RMRdiPQ30Bw6N/7rBJ575ZOYpZ+9ZHw5R7PfSM4TefmFlu5woekOJYXg8EOnqaysrP3yGpHd+D4xpp7ZDrqlO6wtF1ypB165k/LizvTY/TB7tAGUhmGNSEUoN4a7FiNxDYVCslsahHU/TU1tKKMr9ADnHgNRoyNuuoHEhfey9LPn7LlzP1Onnni0aNeuvXzggQdYunQpTzzxBPX19fh8Pq644gqOOeYYpkyZ0lLGWlJSwqJFi0hNTaWqqoqEhATKy8uUbjeodkP6MWj3etG44maW5XZA0oBdWgL6oYRsm01KJ1UqMu3ItTVKm83AciVamD/l0mKkLUlXAiWICOYUaWi2gXXFIajPFiC+/ARHj79RU2ESsiSmBboGmiCyk1YarXfPQoLfFyImxsNjTzxl9m5rO276z62CvVUYhsmesmo1/eDDjXvuuddJJN3+reuQEBGi+vBhoxxrFrzOjdrn3FpwEKUZZei5q+GMoahsgcdl8dmmVHae7sHKi87fSDjJ+ng24p9jeGJbJ8zXvdw+fSXpngCmoaEJhfQ4mfPBV6AVt5z39+MANCPKLM7N74DL5WX5ojkY4RAdu/YF9pUaRRsc7NiylmDAT9/B4yM7wD9RrvePhgPbnP4caC1HHNUT6FgcUUWrqihly/rlGKbB2hVfYlkmaRm55OYX4XA4iY1LxLJMlK3Q9O9QovsDQtOEAinOPetvdS/NfNG1ZuMubdyInui6hvY9rrPc78IvNEwhoBTYCDSC1kWxN+iGE+D+t4t4sbQNt77kJS0zRDhLogyB8AuYCaITyKmqWWXdjqinmwJlaXDVlYhd23j2pa1s/k81F01+h3h3Kk7dJi0lHi0lHipNVizZQE1tI1kZyXTuVchxE6pon7KGy+YVsc4fj7vKpk1dIz1717HmoyYK22Q62+Xn6gG/T3m8MSilhGyuM2w971rPG9M0WxbfaPncd83RaHnlU08/JwuynFx0w98IlVYwdvIg7b0vHrMXfrVUHZqTI6K7NoAePXpGHU23P2hoV/Ud3fjgv+9o+OLTDx2773wm5rjDxtFvQCE3HroO8YrNky+0x45vNiYaCN3CKcFQGsVxDcTGgkNzABKUgJggaGG69E3Ubhl+EgQCzhWf73B+tWwDu0u+sIJBS2m6pnz+MFctm68KO/WwdIdLxXjd2qknHy+cTlfLtWmahqUEF51zijzxlFOJeecKwlcmETq+G1p8kMaQoCxmJnmJFdSIlej4MI149pYNwYxzIAeDI8ZEZQiUR0OlAhUWrpFnybZNc8UjL79vz5s7m0suvVxt2bJFjBgxguTkZJqamigvL2fx4sXExcUxderUFiKw1+slNjaWESNGcM011zB9+nQmTpwoBg8ZJmqqKo1/XjzMV10jtGs+NmLKYjdJ4Q1gZRxBeHOYFUoQ1jWGSJsMyyYkdPyAaZuR9IDSWWlp2JpinIpEBZQENtiI0yT2EBAzSzA+S4aOYLRVuLSI4xDlr3yT3KBlWrjdLhYvXkR1XZM5qO8AQuXVutngJyYzjfq6evPSC09zAtr/EiCLCnUNHTzA/Y8yt/noiPWk7enK2fn9qe1WCO0lzIWqlU68ORZubAKq+XiGDU4NPvgMdcMN6P0Vz7zWBuM1uHfGStISmlAhJzu3lfL5onUUD/4dOwDQ7ATYNmmZufQfNpHF8z/CNI1ImaAQLZN4b8l29uzaQve+w3G6XC1Nfv7Cb4NohOaXUNvbX08gsgNNTc8mNT1CrtmyfgWVFXuoLC9h1/YN1FSUUtxraCQq0LzORrsX/lLSw782lFKYRgNNTQEspXAlxkYIfbVNB3zuaz1GSPOGIqz6BsAPwoDEbVAbEsibFFKCY5qiGhenP9eHduubYCnYpwpUGDgPVCewvxDgicgrC0FkYdUkKj0TkZ6J1ncwix/cyT3vPsmFk2vZsKkKTZhUBRRVZdVs2lFG356FrN+0i83b9uL2uOjVOZ03jggxb20sjsQgSbl+ivJgszfBVqrSAnTdGWme9r+eoxDiu0h+34lAIChNPQy+AKopSFLnfOlQfruuvtEWQmipqaktn43OeaUUXrfDASSf+feLm046/mjjxlvvqLv13y/F9u/TUf/XeTN4/LwaNfLNsNi1zSTWrSGkIi1Jx+/3EzYEffrXkRQXBks2KwtavLSokJomB1JZGGFFRrLF4cM1eg7vAQ5dQ4qIKl3Q4MWn3mH1hs9Mw7BVjV8Yi75aInv17MFZZ56iO53NoXdlM2XawfL0M5faj115h2BbgSjfso4+Xfawe6lGvfUGceb5zGvKJaexkEoiGQt3mkFwgoa+SiKWA6NB7gS7g8aGPlu5cupHos+ALtrKVVvVgs8/5tzzzmfE8GE4nU6CwSA+n4+FCxdSV1cH0PJsMjIymDJlCgC9evXi8ssvZ/LkyWLw4MEaoNas32w/e9VFQl/4mTLK6xWdjxFam01YtR2wq2C9oWhC0kFIDMtPORY2cZGAmARDNrDSjAcs4rAjcRcfmKkS+fbDyEU7GT3uZPrlQd/OkTmlNU+t1poKUURFxTRNC918y53kJYa07r06SJcQuHLSeODaR2nbaYAsaNdWKqXE91lvonMoPsZprdzu0I6avlW8+fRCsqoLSfQ1gcPE6g3r6uIJmxI7ekgNqKqC3FwQYJoC/VDFi6+3QX4Cp3bZysiiap585QtOP3oMX+7cd87fpQMAkZytbdskJqczdMx0vpo3mxWLP6NjcR883lgqy/ewdvl8OnUfQHJq5l+M/98YhmGwceNG0tLSyMjIIBwO43A4fgFDK1qEZVpHBQo796Swc0+CAT8fvfM8dbVVKGWxfNFcnC4XbQu7EhPbEjX+wzsDtqWE1CTPPPN84oyJfWVhm0w+fH8RlmUzdmi3yLvQvDvVdNkSco/U6ks6JzWiVyg4AXgIKAVPEMQeqBVgXwWiUaFlKTgettXEImtAu1ZhXwv2swLRRGSbJCPR0ajUbYRgpcBW2ELBsfm0bbqIg0/8mIXvbeW9D78g4A/hdOhMH9eP3sO6U7WrgpmvfspH81bTt2cHuhdtZeroTsikBPDEQKOgssbPhnXr1Ny5cxg1ajT/g8H/oxF1XseOGRGe/dbTcv2yjY6iHkWqZMNGETA1My01RYd9eevWEYWomJlSSmlSxsqYLG6+7b66Z558NDRz5szg3suf8HTpmKkdPq4TSUd0g/pK0DR2Ld9Cm35dIka8zkZZEea8aQucLpNrPu3Cxt5xEVnhFEjcEKYxvIJTBm4kGHQibXA6NRSCI6eP4pjz2umR5d1vPXrbU/ayhW9xxrJl5kUXni+7du0qhdBITknm5uuvFKHLr6Li1WUs92Zh+f6D1e0BGpblsS4wCkcI1jssHIZAIFCNGtRJTC9It0ItAs1WiO4Ku20HeHQmi888BndGLqt3GOLj2e9SXV3N7l072blzFykpyaSnp9O9e/eWqqLW8tRSSvLy8rjpppsi8zxiFPV1q5clr123leP+dgG+pkb1wrsLKV9xDpreAVv2xko8kZ2mpLzhHhD1mHo3lOlDeCzQyqHxXUzvSaz2nIHbpxH2RPQY7OdvR5OLMbNuYfrk4Zw9Gr5JCOpAmKaJw+HgyquuVnEOH88+fImD9AyCm7fz2MNv8dpn2/2PPvq0q13b/O8M/R8IATicHoL+JrHii+30aVfBxQcth4wECNkQa3DG4yMwQ80yxCjQdHjzTZg4AZxOkBEnQDtE8fzHbVi6Po8T517EhP455OZlws5wy/l+tw4A7COaebyxDBs7g2ULP2Hdii9JSE5jb8l22rTrTG5+0V/G/3eAhoYGzjvvPDp37swll1xCfn7+L37OfVGBZr1028bhctGl+wAsZZGWkUtNZRk+I8yG1V8hhCAmNoF2RV1xuPaVI9l2pLHnH6lFtBCCUCgYWvDlQvfkER2F06lTXlHHx/PXMGlMb0iMi3SmsSxo8qMlxoKmQSAEwTA1QRd2goATgSWR0rS9SyFTQnKJoFaB/0qJGAxiM8gkhT1coH0K+hUK86bmcUQHVKswF8qIaE8uRGRsmh21JhtfQy2WP0xRQSaTR/dg4NQx4POBGREqSc1K5uQjR6MUJCbGsHRdKQtW7GbEwC6UV9UR64Sk5EyjXdu8wI033uTOy2tDQUHBLxJtikayDpk+Rd5597/Fux8u4uKRfdj1yRKkM87Oysywo8/g6/NFNGtVCAEot1MKIPHEU84wJ0yaHPjPQ48ac5et8304711XVsochxJO0zQsUVUfNNvnrvLccOlxOL1ORCiEaZiYpo00bdJjg2w9JBblBKqhqbeDC1/qiVwsOan/ZpSpU17tV7fdP1N9uXgto4b1sr1uJyhLDBvQ1XHGhUdzx3VPWpdeepn51OMPOktLtoNSKIQ4dMJgmsZprP73Slav2kU4/3NkFqgChVEdwrCcUA+i1MaqUmhrBVZHgVyvsLwSq1Ign7OR49ditZuPVD6Cdr2o9GaoOZ8u5K13PuDgg6eJsWNG8fQzz7Bx40Zmzpy5X1UR7CMuRqsEHA4HNTU1PPjgg8yZM0f9/Zy/cc45fxd79pSI0SOWc+Gt76qNpeuRibOEiK3FDgsCrlchUIeQq9HUHsifiAjugOT2YM7F8m+i0dUNKRvQN66C/FJ6nXwTI9r3ZGCBRdAETQgc39OcOBwud31drXro8VmG5tLE3E+XiZnvLlQzX3qZDh3aqx+iQyMiE4cZh0zTP5j/mXXURK9m2G5sdw5SxDWTEC08sUnIeA0rOsaFi2DHDjjppH1eix4hPMqxsKF0MVctyOaTg4aC2EqkLqLlY79vyGZlQCkFfQePY82y+bz+3L8ZOHIKHYr7YISDfFs7zb/w68Hj8dCvXz/uvPNOSkpKmDZtGpMmTSI7O/tXIeEJQOo6u3dspKqilO59I0JQfZvLCXdt30B56S58TY0RvoBtERuXSLsO3XA495Uj/RGcgWjZrM/naxLYidV1TcyYMZymmnqWrtnGo899RHpaAqZlkZoUz9Yde8nJTKbRF6S4KI9Ohdlsr/diJ4kIJfpi4CxgOFR+DukCEvZAIE4Q3AisUKg0ARlgng36i6BfrggPkS1dUmK3mFyWso5FDSmsWhPPDhEDbiLhgCZBWpaJZgmCoRD1DX6s6npsnx+pSXRdQzX6cTp0jj54CHGxXvyBIB9/sZr4GAcVlRZxCXGMGzvAWltih9+b9T7A94ur/ghEqyxi4uIcPbp2tt744Cvr1BMO0rJyMgj4g06fv+n7ehyiuShN2TZ6ZlZO3A3XX2cZRjD82quvs3zVevJyc2jy+dXB3Trynwcfarz+jhdizvvbVBnncODJSkZ3e8HRSCgkMMMg1gt4ClQBNB3m4IK3eoDT5qSee7njkdcMM6ZIGz2lt1BILE8MbneMuvzfM4On7Kp2XHzudO3ZkRfbu7ZvbK4O0Mlv15mwiKehvgZ9+/mEm+ppH3qErQ1FOApDiAFuFW5E4AL1Gpg66Itt5B5QpQKNSHOcQJIkNHsXYvfb2EXHg7ctFeZyUbFqt2qbJVmxerMKmVItX7kOp67k9ddfT0FBAYFAgKysLAoLC+ncuTOwfwrxvvvu46abbuKee+4RGRmZ3HDDDSQmJnP26ceS3HmcOPTU69Te+RsgcwWe3M4EVyajzJ2o5Gpl9bwNMkcJmsohLgOqV0DJs6DWYDVsx3IBba6la7ue3D7ZAPRIN8fvMauikadrrr6CZ55rpz78cDYZaal06j+V+yccw7Ahg70/tEpK0zQsy+LkE4/Xhg9/KlSQ7ZGDerUXjz3/PtnZqVimQooQy+dVgTsJEQMq6I9wRI48cl+er5mvoM+0sXf7oepd5E3/4qS5ioeHhIiIIUfwu3cAIogQA41wEGXb9BwwCpfbw/rVX9G5W/+WfMyv0V/+L3wzvF4vN998M9nZ2bz++uvcdtttjBo1qsWj/7WMaVNDHYYZxuONxbLMlrLANgWdaFPQCYDtm9dSXVmK39fI2hULsCwLjyeWgg5d8Xj3aRtEKxAE4ndZRmiaYdMwDKaO7YvpC2JbioMn9Kesog5l29Q2+JBCkJqc0NJj/PUPFnHlRUfi1GyUQSSE3wY4CfT/2hhDJdXzIEWAqxHKloLSBEwAHKCeEphPQ8bBIS7qtQm7TqC5bNIyQxw/eTOluxLZUBrHul3xKCdIpXA6bPoOq4WgjkOLOPWaJhGabBU6FzicGqnpSWDbuLwuDj9+PBgmQ50OsA0IKmmGmlzFxV0pLCz8xRp87WvW4ubKKy5l/KSp6pXX5pKbm2fFJ2fInKysb5V1/WZIISVYlqUAzeFwxx919DFMnFRLYmJSyzZ40OBBvpGjxpmrN9wr8vNzZceCbGrqGrSi9rHExgzCuV0Q1oBFwMtgFQl8B0sueqwrJ3WvY/bcr+zV67dF5YWkGWqgtqqMWL3evOneR9Srb35iluwplQVFXUlOzWwZXf+UNHw+H3f8+0kee/Qhlq7eQUFqid249QLlrGurTT9kqnppS5ZoGFeCtcXAjOuN3GJhuTT0MKQpaKq12FM7HJG+AKZq0OBGBL5AO7VeiBfWU5g+S9WX1HLQ8I7qude/sK+55hoJkJ+fj9/vJzU1lRtvvJFBgwaRlZWF0+nEMAx69erFc889x3HHHcfGjRspKSkhPz+Pv513KQleSW79xyKmjZvcQcX2p/MWC2f1LGWa0LZgkDj4/OEo3SQ5JgOPMFF6T1A9qa8O0Njox52ZQtNOmJRoYSoHqIhS4g+BaVmcePzR8uCpk2RMbAy6/uNTUlF+m8vlxla2CBsGoyb05+Vz7+PG+1/jinMPJys9joG5O/nijUTEaSAMHTXpIPC495c+tG0IaKh/PYQ6bgahvjHscMO/3u3OZe0/ajnn794BUJGVCwVs3biKmupyxk87nsryElYs/gwjHKZ7n6GA+FO2ev0jQdM0zj//fMaOHUtZWRkFBQXAL1cu2BpCSgK+RizTJLdNYeR3QrZigzerDUqNgqJiCooiTNjtW9ZSW1VGOBxkw+olKGXhcDjJze9AUmrGfuf4vUUHXLrT6XQ6Rcf22ehOB/G6xshxfSNEQNuGQBgME+JiInwAw+SUc+5h/boddCloi7vCpgkiUYDDQc0FrY0iVCao2dasqiaBKcAOIuXD9aDKBKFzJO0CPmacvhZqvKApjBoP2Sk+sjMbGD1oV+S4gojySkAH5fru3ZUCZTTLt1g2VlUdUkgMw0JIC2dOO5mRlsTS1ZsIBAK43e5fzLnUdR3DMOjeo4f2wP33qVlvPGfd9MAb9rn/vELr0KEoMtwfKKKqaZpoLk9UO3fuFAsWLGDixIkEAgESExNxu2NjMtJT7W79Blqz3v+ANz9cw8TJkwPzZy7Se4x43LHn/VPZODER/mkj5ipEQGJm6zQIL4YpSE6OF8sXz8c0/ChbIWVk4zR1ylR3u6JurN+00xw7wxTJqZn7nNtmIbaYmBgOP+wQ+vXtzdOP3Y/fb7Bi8Ty7u3tnk+ujTxOMuW7MpB2wrhExfRW2w4lIVFhxipLdFsJwQGIMdDGhLhaURHUcg3k89AjCA2eNFBAj/Js2qI8X7jCOPfoQR1pahujZsyerVq1i0aJFXHLJJXTq1Im2bdvSo0cPTj/9dA499FAAAoEARUVFdOzYEaUUu3bu5Mmnn2H33gbGjBpJUVKZqLUX0/nQozAti44dikTJk0dy0SWX0rV37+YnEJUM8jT/U811/M1O5I+YRrqmYZomCc0y6YYRjnSO1PUfte5FiaSFhR2M7PRkR6DRx9WXHIOmabRrk8r4yYOZGADHR724uTETcUjze6qsSF2iEigr4smYyR8i/t0W0aMXBE1UV6h6cX+T/7t3AGgOd5bu2sLeku30HjgmUiGQkcuAYZNY8dWnrPhqLp27D4z0ELBM5F8iQL8JompexcXFFBcX/+8v/FzntW0Qgr17ttNQX0OXXoMi5MBWL2CkzjY6zlbOQGExBYWRse7ZuZnKilJspdi5bT3bt6xBKUVqRi757Trtpy8RXUB/C4cgUuduERufEO8P27h0XSEQyrKx630tFUtSRsZl1TSglCIYMjjnpIk8/fKn3HTRkcSFDaptZ4S5b4H1L4Hj7wrrIEHwieaDTCGywnQAvavCXBuRUavt6eSMJ/qgJZhM67iHUMCJS7exDQ07rKGaWtVbi4hQif6tzYj3v7YodE3DMi1csS5ISrZmvT7PfP2dDz1HHn0cHo9H/JItvqM6AZZlcdihM0T79u3FrvKLtMcef0TGxXo55dRTcTqdP9gBaZ6TIj09nTFjxpCcnExlZSUulwu/38+ZZ/5NzpgxQw4e1B/btpkyZar8+MNZTXdcfVb8M3f11m7bMpYPRmqEpoPthFhVR35wBV8tWYbf59dqaytFYnw8utNBQVFX4hKSAGhT2J1JkyPr/YEaCNHSa8uyaNu2LdfedBcvPH63PPz4UylsX6Buuv6Kem/VA3EJlQlSTbiWPcMlHKejlAULNHyfSaipARajKu6BPR0gPQdZH4Aza9jY2IHbS+awfXeATgXpYsyAAl0Jp3XsccfqG9Zv4KyzzsLpdFJRUUFaWhpCCHbs2IFpmuzatYumpia6d+8ORMjGSin+fu656A4HN954I6NHj8ayEY+8cAJt2+SJuXPnsGvXLmqCFh9/MZ9OPfsSCls4mlUwNaGQIqLBEKnt/27C3/+CrustolIOx/eY5P8DQgiGDh7Ay+/NVCP7dxZZ7bK58aoT+OcVj9GrSwFp6QncMPZzmFnMzY93Rh0uwatFHG4XCB2o3IB44wHEg/9BeiFq6mMT9ldv/V1bymius7a6nNXL5tGz7wgSk9NaCF/xCckMGTWVlUu+4Kt5s+ncvT+p6dlYpoH2E0Ixf+HHQQjR0jNASvldMqs/+3kRglAwACikkJHOf9/S/OcbnQEhyckvIic/srurrtjL3j3bsE2TuuoKqitKsSwDjzeWNgUdiU9M3e+YdnOrNxHt5f4LOwRKKTRd19LSsgLL1m53jxjcDSkFWqs0WJSRLwRoLiexSXHIHWXExLgjKnumQEoV6VOvgcoXSL+KtFY7EoQflAdER5DDFKZToA+zMdMj0s3VRzi5/KUeZCaF6JtUi0IgRVR+9ADFvx9xjYZh4khJIFDdoC674m57e6XtOP6EU13HHnv0dwr5/FS0VtAzTROfz0dOVrrIzc5Wvvqmxjvvuttj27Z+xpln7pfC+CGIiYkhJiYGgPT0dAASEhKYMWMGpmkyYcIENE3HskzX2PEHqZvu6ml8/OrditpPlPa4x2F3D5M/YCxN1RrlpQ5Kqk0zNjZBjh5/cKvr2Be1spv7bQDfWDkRaRoTMWRGOExyUgL9eveQQOKVV9/U+N//vozL47VtKyTbpNvs8lQSE5tGyNmEWX0r1L4HTkdENlx8iGqMwd4egtLt7M3vqh5dtMOs99v2pDEDwpvWrXaXfbFWasLilltuZfPmzSQmJjJo0CAmTpxIv379mDVrFhdeeCHFxcVMnjyZWbNmNTtEU1rGPGLECLKzsxk1ahRvv/02O7ZtISEuhhdffJGRI0dy1BGHs2DBAvTmKpV9xD7RnNijhaXxU/FzzcUoD2DixInuV1960bZB2sEwiYmxHDV1CB9+vpLDpw7BqWtcf+wGtJclT75TQMgh0BT4HJImywGbdAgfhbpqBXbCcnBFFMK2fQm023e+37wZ0Lch+hI2NdQyb85bdOjSm3Yduu/H+G8d8t+4Zgmlu7fSpl0n2nfs0SwL+1cb4F8TpmnS2NhIUlLSr5b3V82vcn1tJVs3ryavTQfSMnN/VEvpqDMQ5Q1EEQoE2LV9PX5/I0JIbNPEtCMCQ4lJabQtKv6a5x91CH6pCEGz6JI67ZTj/QM6x3pPP3K0kA49wvw/EF43VSUVvPHBVwgpmDC8B3k5aVw/vxPXhIrRTmh2AhRoMxXWSwJSiJD4DBCPQptH/Zzq2sHVwS6Is/dpC+iLbGYs2MtLx32O6XehS/vr54dvbQbUeuGM7EIjcsGaJtHSE9m4YhPX3Pqy6UntaJx22kmeIYOHYFlWi6DPz43oclhbW8vjjz/OpEmT6NatG8eecHqYhg3yviduC9107TM88eyrnjdenSnHjBv3o1KPrUvfotEkpcC2LBwHsONrq8p4eebT5vsfz8dNg9IsR7hTotP94ZoG7ayLzqfa25nDO2+zJh9zpRg26iA7JTnJPuKwGapjxw4/vF0gkXV1++Y1NDTU0KP3MBqbGklMTGLihHHW3u1rjAq7vzsxJp1d9Tq5eWH2LH2eQPwFOBMqEZ16YPtcZDRVUZgwi6VfbcUQHvPWa84MNDb4XFOmTg9/NGeeywgFHCNHjeLee+/F7/fz1ltvsWbNGpKSktiyZQunnHIK27Zt48gjj2TChAnceuut3H///fTq1YsXX3yRzp07M378+JYxr1mzht27d5OUlMQVV1wBwLBhwxg9ejTDhw//xfgivwSi5a1Dho0MXHvWMPfYUb2FHQyjpSdxw9VPcMJhI8nJTkNDIVyCj1dmEDYlUigCQY3GRh1cboTbIlS5nXDtDlQ4sjmyYiArtwPwO2kG9E2ILsIBfxOL582mXVE32nXo/rWHGM2XCCHo2LUvMbHxbFi7BH9TI936DAV+GVGav7A/os+grKyMyZMnc+uttzJx4sRf56Vrpu1W7N2Nr6EuYvxt+0eR9vaPDKiWRdrl8VDUpXfL5yr27qayvATbsggEmli9dB7KtlBKkZyWRdv2Xb5WlrrPIeBnckwVUmpiT8ke57DjpwnpdIC1v/GNRtCWL97AomUbSUtNYNywHsQnx0PY4KIBm6h908m9zxahnRDh2djHgYxVqA0i0ifgQiAIiTsMrvrXcuzX4fr3OiMPAssWmD0k5e9Eao9/7E7CVgrTsHA4NPS0RIiNgSY/7736CY88/6nZd/iMwNVXXuoGVDgcFgeWj/2ciKoArlu3zrr33nvF8uXL7ew27W2nUS6vu/pELdVdF3PB2RPDH8/53Phs3kLnmHFjxQ9aX5rnlWrF2Gr9fU3TqK+tZOf2DYQDgQiPRdOYMOEg/cgjjqC2KYwnNtl0U14z/8ij03qkrqd4qAUBj3bJaePYuWeXqi3dKK65cqEaO+Gg8IknnOg80KH4X5BS0qZdJ96e+TC9+o1E03R11FFHit2792g33vWY8cQjtwcaq5a4+rVJkF9+tY5+Aw9mQf9bsIaUYH/UiMjIIZBQSbdNydx1RSVvv7dNvPjKLFdTQ4OzXYeuzn9ecD67d+8mLy+Phx9+mNNPP53LL7+cm2++GdM0ueWWW/B4PLz44ots374dTdOYNGkS48ePZ86cOTz66KNcccUVkWiFYeB0OunatStdu3bFsixuv/12jjzySAYMGPCHM/6wLwpw443XOB7/9612905tZEZ2qjCqGzjuqDE889Icrv7HYZH6/7DJ2L4lkVxbVPdYU6DsCPfG4QKtMMIPEEDQ4JUPjZZz/e4cgKgxCYWCrFzyOYkp6XQo7oNtf/NDjC6kStnktu2ANzaBtSsWsGzhHLr2GozT5f6LF/ArITY2loMPPhiv1/ur5cWj57Ask5iY+H1VBz/DcffNrX1EVCFEpAlRVqQJkW1blOzcQmNdNQBNjXUs/2pui0hRQnIa+e274HLtX6oajTY0n+0H3y8hJIYRCs75YonTc91hkSSm9Q27bwEbt+xBCMmhR44BfxA7GEZKgVc3ufXw1dgzJf9+rj0cAdigDgaJQpQAuc3tBWLBVpJ/jNzMPY8W0TgxorCo6iBgaiDU/g7AN0VfhEQILfIuCgki0h9eOiTONhlQVc+LT77L4tWbbWUJa3dlODx68vHqH+f/3Qk4TNNUv6Txb42Kikr69+0TTnQ0Eetfo5/7j8l6m7ZZhPfU0SY70Tnz4YuDN9z/rvHlwq+cgwYO+JaNhtrPkQSQzVLlrZ90dUUpu3duwgiHQAocmhPd6cTjjUXTdNKz27Sw9hMj2QJPTZ3XOumUc6rPv+mhlFv+dSK9ittw5InjI2pAlXXa6x98yT+uvjpw2mmn/6jrFwgSk9MI+BrQdaewLJvFi78iFAq6n3phlv/Rh+6pC1ZtTO7etTvd+41k0hYDlZiLHQYsqKiP5/VBbemw+kE65khtWVxYa6iqNa+66iqtZ4/uIjMzC8MwSEhI4MYbb+Tqq6/mmWeeYcWKFRx//PEceeSRvPvuu9TV1XH55Zczffp0ADp06MCjjz5K3759kVLidDpboiiR6hKNPn368Nxzz6HrOpZ1YK/A3z+klJiGwagRo/Tzz78oHAwZEk1Hs8MUtM+hR5d8Tr3oIe6++kTi4mOwm/Z/J0Km1pzXUM1iYGGczZG5A9eY35dVbH5RbMtk6/rlmKbBgGGTWkJ+3wUhIqJByakZ9B82iTXL5/PlZ+/RpXt/0jLzmptOaPw8GZ+/0BrRSZWYmMh1113X8vtfOvISDfNX7N1NY2MdnYr7RsbyC8gQ02rRbr2oS6nRpqBjy2eNcIjS3VtpampAKEUo4GfNsnko28ZWNi63l+y89qRl5HyNJtBCLGxO3H+bUxDtuXD77bebRxzU2+n1uL/R+Ee6bEL7/Axq6n0YNQ3omtynpGgLXNLitiNXob1u899X2yBR2CaUSTdkAUuAMFTUuBEKpKWY1qWUmbvzUOmKpBdMrp60Djuoo4uooVNgNjWvPyrSqlmBjYYZqsffUIUyfdjhRnRvjNpbFgzdc9MLWnVVPdKbZXcsnuhwezziuP59Zd++fXSllEMpha7rv/jLG73fbdu20XaVVtiHjhkgjz//GI2yMuwGH06vi1B5DcXDujvDNz1obti4xR40cICMtqVu7Qa1GPtWozZNg93bN1Jdubc5UiXQdScOpxOn043UNFLSsknLyNlvXK3nnFKK5MTY2MOOOk3t2rW3+pq7n09554lLCVc1IGwbgeCQkyfzyH+/UouXLKFf374/+D5ouk7X3oNZu3w+hV0H88orr5CYmMg555zDwoVfeqfPOEKdevwh1rwv7tJKt9lYCwSOuRZ2jYCVIGJg1/ZNnP38fxg4caJKDTSY3phEefDEqTidLhISElqIhwUFBTz++OM8/PDDNDU1MWDAAD766CPWrFnDoYceyu7duxFCMGvWLI4++mhyc3P3e15R47927Vq2bNnC+PHjGTRo0A++5t8VmksCi7t0VotW7iAnOy1SmVLXyPQpgzn27/chheCxu86OLHet3n89dX8pcGyB0eDB8Q3pud+VAxANWZbs2kZZ6U76D5sE8L3zfVHlQJfLTZ+BY9iyYSVrViwgO689HYujzYR+eG74L3w/NDdeQdO0XzXtUldbgb+xgbiE5F8l5bO/YY7u8iI/OZwu8tt3afmsZVmUlWyjsaEWW0VCc6W7t7JjyxqUbaMUxCelkJ3bjoSk1K+dKxpJ2M9vVQqpadZTTz3rmv3UuTIjNw1Cxte+GxkdNPqCSE2gHfAeCRFxAtzS5NZDVzN59V6kjFQQVta6MOoFSLB1gXe8hQhrxHhNTu+8g+ceyofecKa+m8m9dmLVeNA0OxJ61DyQ2AvbtpAOR+SASiHdbhLcDXSP7YNIyEWPh/r6OhasXyJDzkLRf0wnxo0dJdsVtG0WGN63Pv1a8ymaVuzWrRunnnqK4+Mv3rO6f7bY7tq1QBIysG0bzeWisWSH9LrdJCclKNu2IsZe7r+zRylKS7ZRtmdHZHffzBJ3Ol0tstS6w0Fqeg5JKfuXnKJUZL6wb761fna2bSvd4Yi75IrrG7/8amnDky/PjTv9hIkC0wJN0ri5hLI9pfojDz9M70ce+cEhcCEEKWlZzP/kLfoMncR1112H3+9H0zTKysrp2at3zILFa823Zn5uTZ8yQ8Yl6cLXzkB+4MBWoBpB1qUjJkyjdOsmMXrqVGHj0K6++kqijYmiREtN01i6dCmvvPIKRx55JLt372bDhg08/fTTLTyAW2+9ldTUVCwrkmpr3eI46hitX7+em2++mYyMDPr3749hGLhcP4oG8ZsjavMuuvACx03X/Mse2b9IpuekCWGYKAVF7bJ5Y/Yijp0xjGEDu6BJgW0LpGZx42u9MBBIW4ElyEoMcsa4DRiN7q85Ab8bByBq/Guq9rJm+Tz6Dh5PbFzCDzbYrXkBhZ164I2NY/PaZfga6+k9cEwkUvCXdPAvgp/SeOWHIkJCE4TDIcxwiPSsvBZBqF8XYv9dXnN+N+oQaJrWUlkQRX1tFZXluwmHw5FWr5bJtk2rMIxQpI5X2XjjEsjKbktqRk6L3HELJLz++muBsYM7eNLTErHCZmTn1zyI1guj0DS2l1QwvH/nbwyMRJ0Ap7QY02/Pvj/odnPj9Oh1AU0upKbol17DLR1W8sXmENNHbMGq9yBbFhYbpBPiCpFAfVOI+FgXAigtqyY7M4/8VAiGoaa2FogTH37xmPORh/7TcirTNFuu45ci+30boiVxUmqcc9aZfD5vof3ySx/Jbl1Ox26uFtFdDuIUBENhITQNKTUCAT/lpTuoLt/TPH6FpjlwuJx4vDERgSkhiItLJCO7zdfUS1vv8KPGXn7HdUspRXMb5Lj7/v2Af8yoEapju2wxfGAxu0rqzL9fdj+HHXWsPXTY8J/gPAly2hRSWbabq6++mr1793LHHXdw3333kZqayu133CVvvf/ZwKJF62NStvdWcTlXivLhJszWIM1GJaZAu6tpqLtd1dfs1S654hqcThe7d+8mJSUFTdOorKwkNyQky1QAAF3KSURBVDeXbdu2UVdXx+jRo3G73UydOpW0tDSqqqo46aST6NKlC6mpqREH7ID3ITo/unTpQjAY5N///jdPPfUUDofjVxUh+zkhpcQ0Tfr06SPLqn2GPxiWiEgfFGXZ3HTJ0Zzxr4d5+6MljBzSDQTYtkJqijuXdaD+UEdEojEGEhaZhGZLzp2wDqPRzT49hN+JAxB9SL7Ger78bBbdeg0mLTOXqGf9QxF94LZtk53bjri4RDasWcK8T96gS49BJKdmtvSh/gt/VNgoJSgv3Ul9fS19Bo4mQoz7jaM7QjSXAkZ/sX+EQEpBQlLqfrt9pRTVlaXUVldgm2akva5tU7JrM9s3r4koGjZfV3x8MvntO/H8c0/KNilCxsXGRIR+DANMCywLZdktBkXaNvMXr2fq6N7Ndc9fXxCFAKUE1gG5xNZMCoFClwpsgduj+NfoJZTc+iH9Oh+L8gX3kS4VIAVhw+TtN15jz969nH/++Xz55ZcsW7qU5JQUpk+bxvwFC4jxenn/gw/4+MP3efvttxk8eDAffPABxx133C9M3Gp+HlEy3gE+o4zsLhUgTj7huPCLT96h7dywQyvo1wWjtJLy0grClokRDugrF80VeakOTFvhcnmIiUuIbFiUwh0TS0paFrFxiV8fgYpEfyKlaD+cA9J8f4RlWapNfoH3yquuq7jniUdTh/TtJK+68xVrzPTT9HPPOVv7afXtDjp3H8Ciz2cxevIxZGRk0K1bN2bNmkVmZib333+/6NKli/bph6/VXdRjceLdz10Fh9yAPN5ESR1lh9DHxlIgL7HTSo8LXHzpdbEzn3sEp9PZkq/3er0AjBs3jl69erXIAaelRcq9O3fu3PK7/zUnkpOTadu2LQ6H47dfB34GtDiFQtoOPTI5hJRYoTAHHTaC4sff46mX5zJ9fD9GDCpucRiz0gM0jtJho4B5isYuGlds6gofKs4ds4ZIeU8Ev7kFjBr/YMDHgk/foXO3frRp1xnbNpHypw0vkhKwiEtIpu/gcWxcs5hlX35C+049KCjqilIRqbI/oof4FyKOXtDfRDgYwOnyYFsWQvu9vfgHRAjYRyqEZnspJanpOaSm75/3rautpLaqnHAo2LIzDYeCatfWtebWzZvcnbI7iC+/WoWQEo/bRUpSAslJ8XgTYyNRA13n3nte5vApQ0jPTAapNTsI1jeq2MmW8bYa/Te8G0oJ1m33Me/z+Sxe0o9+3QpQVqumJ0IQDFts2LQR07QxDJM5c+YyadIk5s2bx7btO4iJiWXx4sWsXr2GIUOGsm7dOlJTU9myZcu+e/Q9EM0jtyaBtUSCvukQIpqbZz9ex4GoqSoXQX8d61cu0PxNTdrSNZuo9Tdhhgw0Kclum01qcoJAaGZSSoZ0urwyOTULt8f7jWPct7uPakVIfsqyEzWE0X4IttHgWLNhJ1II5n21Rjz54jualGg/1ZHyxMTR1NjQcoyTTz6Znj17EhcXh1JKHDRpouugSeNCH7/5SE3Hz+5Ovq3rGeqopSmCTQvxDB6Kfy6Et+ryb2eOknc+v7nx+htuirvm6qtaNmDJyclAxOBHjX40lRv9b3TX/03XYds2pmnidDrZsWMHo0aNipS36fofdvffGhF9BqdW43MEc2xcAoSmS8yqBu684VTOu/RhnM0CB6J5jhmGjDjvNwCaQH0F/lMEl63ogbEohjxWthz/N3UAog8oHAqyZMFHpGe1aVXu9/MMTUqtJY3QqVt/YuOS2Lp5JXU1lfQaMArgr5TAHwyR8L/E11hPwN9EQYeuwA8XY/mt0FooqDWx8ECnIDEpjcSktNZfVYA479yzrYPH9tBPP3okYcPCNCIGvbaunvKqGoLBELYNUpfs2r2HxDgn69dvJSEuloSEWGJiYxC63izT29z9RG9uH2yrSM7etlv+37YPSK2YkBjnZtKYgcS5HREuQ/NnhFOnuqyMO/57E9IOUt/QyLp16wgEAvTu3Ztdu3YRDAYpLi7mlVde4fLLL2fjxo3k5OTw/PPPM2TIEGzLwrYtbKtZpaWVxrlSqkV1TUoZCckfEMn7X/PAVjZ11RXU11VRV11JKOgj6v4gQGo6mqaTkpJCu/aFrpdfe4PdJdX07tMZh4IYr5vkLoVkZabgjksJti3s5gScBz7HqNLMz1UREzWGSilmz57N6NGj8Xg8bN60iX/f/2DinVceL2xNcM7ZZ/quuPJKxw3XXy9+akpOSo0OxX3Ysn4F7Tv1wLZtevXqBbQ4X0LTtAQ9uVfjnqpG67CCRdq0R9ayfPlHKrS0DxcdOpEFe+eJy2//1LOjTIX2lNdYB02aSO/evbXWeg7R5xo18tEdvJSyJa0bfe6GYbTcU13XcTqd2LZN27ZtKSgoICMj409T/m1ZFh6vR68LiAA2TprdVqlsuvUu4sIzp+JyOrBsG4FEKHAqhbZZYXUTqDUgNQvrNQ37rAZevXcVFwzdd/zfPAJgmSab1y9H6jo9+g7H/gVCfxEOQSTsl9u2iJj4BLZvXMUXH79Jca9BJKdk/FUl8IdCJPxfWV5CQ30N3foM+9G1/78XfKtT0LyTFVIqQNRUljd88OHH7o+fvkDkFrXZx/41DPxNfpqa/OiaxLAsdIdOVsZmvG43Sgmqa+ooq6zGoet43U4sW+F26fgDYWrrm9A1Da/XTWyMB6/XTYzXg9fjRnpdkehBy+AEOe083HjRkWhZKdDoj25tQSqSk1yMGTmMcMjP0888S2ZmJgUFBdx6663Yts3IkSN57733mD59Oh06dGDevHmMGTOGUCjE/AULOPbYY3F+xxpw4J/mzJ3LnDmfMGhAP0aPHMauHdsJBn34fY3RG9kiGIWIhLZ1hxOHw4U3Jp64+MR9d13QEsr3xibQtqiH+M8TM1VpRR3tunaABh92KAyBkEpNihcle3bY1VXVKjkleZ864Y809t/VPS567KhRy8nJQUpJOBzG6XTicrvF1LG9kQkJbNy01ZnXtv0P0yf4FmiaRruiYj5+978Udu6JbGantzhgzcZ5YP9ecYcce4454ehrzeLCJN1T4BMnTm/kqVfPIdMTy+RxE8XadZvddz6+2r7vvnvV88+/gGEY+ykpftu6H3UUop9tVQqq5syZy/sffCDuuP02MjMzW+7jn8H4Q+T+CylJTXQ7LWUL2bxpllJi1jQwpH8Xnn5pDp2LcvF43ChT4+HJSzj+zYGUDnVhmWBv1cjYvpq0jeuorjeAfcTI38wBiO7+95ZspbKshIEjDiLS9veXenCR0KZtWyQlp5MwYBRbN65i+aI5tG3XhfadehBxEv6qEvi9I7JACsJGCNksqhMtw/ozIbIzAiEFVVVVoqa6vPHMM8/RzjtumJ6VlYztDyLsffW9Xq8Xb1ICs2d/ha0UIdNiT0UDF5wxHV3T8Pn9+P1BPv9qHbM/XUFOZjILl21i1OCuHDJpQPOuW9HoC1Db0IQvoLCVha0Uyo4wAhyyWfJYSpy6jv+rQAvx0zRtpDBJSM1lwoSzsa0wbQvakpGRweSDJrF8+XLSMzLZsmULlZWVHH300TQ0NDB58mTS0tK47LLL2LB+DQs/ew/LMkGB7nRhhEPYyiYrK5v62gbmL1xE+3YFdOxQwOIly7njngfYuWMHX/bsyfYtGzh4+hQs2yQ1Ji7iFLZKJwghcLtj8MbG442Jw+X2fOv9N4xIZUXb/Dw7I6laKNuSViBEOGygBYKkpcSzvrRONPqaSElN+d5pi2/Dt6190bVy2bJlVFVVsXv3bk499dSWv+e3baua/EFRU9vI5jVl1rr1m7w33Hzbz7aR0hwONF0nHA7idLjQZOT9g33RFrfbzWWXXapfUFFpv/zGK+aRR0z1j5h2hv/Bd0u9b709O/7k448NHjS1R9MtD3+YYoTD0jTNlp1/6//ato1lWTgcjhahnyiTf09JicrJzQ1cdfW1IjY2zt23b2/jumuuBNuQ77z7nj5l8kEtwkB/dESjPcuWLaWhvp7PFyxzdi4eL2jyY5tmxCFCkJSeTG2dD8tqrhSyBcML9/JsaAGnrBjM7hEe2oq3MY/1UNqzJ6FFscCClvP8Jg5A9GHX1lSwZvmX9B82CbcnJpKT/4XDuNGUgJQaRZ17ERObwKZ1y6itqaDv4HFEWzL+kZSj/j8hyv6vramgqaGWzj0GABEj+WeGy+nyn3/+P7S+HWO9Jx0xOlJqae//vliWibQkb3+8mING9SI7NZ7TjhqFpkV2vjFxMcQkxDGkX1ecTje6rpGWmoImJYUd24FtgWkSDBkYhkGcpx47YGKaJrZtE7Ile+s8OHWrhSCYkBDbQj6KpAosHN4YLEDTnHTr1gMFZGZlMykrm2AwxN333MMpJ5+EUoqEhAQSEhIAKCwspLCwkM3rl0dy+XakMkgphcfj5rnnnmf27A9RCGpra7jvnrvo3XcQN96UQ2VlFS+//ApK85BbUBxhRH/POaHsVuUOYt//RHP3muaw4+PjpNK0iIBSZhIkZNK2TQ4ffVWqfD7fT3q20R3rokWLaN++Pamp+xNEAbZt24bT6SQjI5033nidiRMnkJ2VyWVXXGNv2bxJDujRjpSMZP5+7UvWtdddp6WnpX3b6X4wdN1B116DWbNsPr0GRMi2B7InlFI4nU7uuusOOX7CeLp06eIIedO9jz76iKPLvx9Ve4NZdOgwxj1+/HixZOkyKisrycrKavlutJFYlCAYDAZxu924XC4WLVqkbrv9HqOmplJLSYzTm2p2EBefoN5762VHoKHMDtgxdmND/c+WavktETX8oVCImJgYdf1114mJEydUxHkbUx564FXtbydMRHo9WP4AQgmUbeN0RtJ5yrYRKEKNTkb0q+M/DR/zr7cbsfIzqa7pSf2iZFxbwrCvSvk3cACajb+/qZ75n7xF74FjSE7N+FVDuPtSAorsvHZ4Y+PYsWktc99/mW69B5OakRtZTKX2h59Qfz7YgKS2qoz62hqSUn7dufNrI+osb968wbd7++aUR6+5hNh22eALQFNgv92tlBJMi/NPPoj5SzYyeXx/cDugKRgJg5sRA52Zk8LU3FRU0EC4dCpKq4ko9SgQErfXhcOM4Yz/jiUxw8S2JMoWFMY0cdYRq6A8FpzNbXsRYDbfe6lAmIATGtaBivAHhBTYTgdVpZXc+u8X7T59e1mZmZkO0zS+RvgSQlDUudfX7sNzz79IRW2Ay6+5GV9TE7fceiuzPl7ARRddSKeuvTFNi779B5GbExGJiVQ2fHNfgpbda/MHv23u7OsLoREX4xLS42LX3mqeuf9VNu6qtlev2iA69xgoUlNSmg/149aK6PcyMjJwu9379TqI7oq9Xo/KyckRLpeLE088kWefezH0zqyPtK4FCbz22mviiovOCAbCmmPu/CU8NXNI1FP+UeM5EFJqZGS3YcmCj5q7sSoO7LMV3cW73W6mT5sqae65Gx8fx80330RDY5MrPi7Wfccdt7Nu3TrcbjcbNmxA0zSKioqINhLbuXM7n336GSeceBK7S0o4+9yLwwkegw5ZlowvSJWdu+Vrk4YcxX1PvMN197wSPv/cv9G5W3/H8OHDAP7QG7coMTLaSO2mm24kKyvXOm76ID3dVSEWr9jAnQ+9xUHj+lDcrR1mUxAZCnPIxP48+dIczjv5INAkrlg3K79YS7pVwZMj8pjw/FHYsYI4V4hA0v6ckF/XAWielOFQgM8/ep3ufYaSndfuN8rZ7Hu5EpPS6NFvODu3b2DVki9Izcihe9/hwF8Ewd8bIup2CtMwiE9IbtFW/7O6aVFjcMcdd3n/dfZU8vp24oHbXqRNdgqTR/VCc+5rACQA27Lp0KOQux57h5OPHI3tC7as1c2FRKiQAYhI1CRskt42kzVLN5Kekkh6ajzYikDI5rEtOTCp+cAh8JaYND0R5OJjV+Evi8XjtBBCQVwwQiQM6Bg+Jw7dB6G1wD47IZwOVi5czOz33+OEYw6W0Q6MsD/hC/ZxHyK7eMkbb7zOSSccxzl//ztjx4wGoKRkNx9++GFkxxMK4XK56NqqBXU0TfRjYds2TqeTsrIyqsp36/9ZvMEcOXaQaFPcUX34j4fNLr1HaxdddZro2qWTNy0t7Sc7ANFWvFGnIxp1QSmcLheZmVkCsJ566qnwB7M/ljmJljxhfK6sDbjMf5x/nv7Oh5+qDRs3W6ed8TeH9hN4CN86RilJTsuivraKhMSUb2TYR52AVjl7pZQthJDEx8UKpWyKioooKoroYtTW1qJpGn6/z7rrrruNefMXufaWVZmrVy7XXn7jA5Wd6lEHDYiXU8f303KzUgRZaVBZx8nn3GUaIk7dfuc9cuSoUaJrcRcRlfz9o+b+oz0oqqqqeOedd9T8+V8ITXOIQw8/tioztibF63HKUaP74I2P5bP5aygvr2P0pAHQ4KNLcQFvf7SEJau20atrAV/Mnk9iQhypOR1p0yENOduk4RwdFXCg9oTBv++8v6IDEDH+RjjEl5+9R15Bp+Zyvx9X6/9zoUU4SEratu+CxxPLru3rmTfnLXoPGIU3Jh7LMpBS/ysa8BsjuuiU791JbU053XoPjfSc/4O+9N8H0fm5adMm13/vOVzedsOzfPLpcm7+1zEIh75fBACICIL4Q+RmJvParIXMmNg/Io18QB4caPndsoXruPrOl0hOiuXZ+84D20RKSGxv0NRBw75UQo7C36hzbb/uiJcEFx2+Cuo9NIQd/Ou5vmgBxcg+FRzWYyuWz4Mm98nWCreTPdtLeWnWsvA/L/xHo9/nTxFCtJTBt0aU7R0xIBEnPTk5hVNOPRWlFEcddRT//Oc/2bNnD+PGjSM1NZVwOAx8N4nuhyK6OYiJiSEvN1u88srL2sl/u8eKiXHYRZ26yVtvvlpLSkwE+MmLV7T7W/S8S5cspk/ffi1/3727xPfBB+/bn30xz71z83L93BPGikF9Oup5fToycti54oHHXmLKtOmeYMhQI4YNkb9EDtzhcNG15yBWLvmcYWMPbpGrPhBRZv6+H2WrEkjZUsWgaRoFBQWR6122TNx1523ymKkDxPUXHq4TPER8Mm8Fc+cvUsHaFLu23m9OHNVfLn7xY/HymwvNASOmcciMaVrvnt012Vz2+UfY+UdLFqOEx+h8tSxL6bouXnn5ZRYsmM/bb78tJh40o+6Yo6baHdOaYt0OQ1OmQIVDDBhUTHpyPO9/spQ1973CmceOw+V0cO6Z07nlnpeoqCinXX4W7Qva4PC4sJtCiFQbI0PANRZUvgcz9o3pV3MAlIpo/K9dsRCny0Nxz0G/ufGPorVwUEZ2G5JS0ti+ZS3zPn6Tws69aNehG8CfOtT8R4KvqR5fQz3emPg/dYQmWha1dOmSYEX5XteNd7/EVXe+wg0XHUnf3h0iL5W1vwMghcAMG5x/xjRuvPslRg8uJikx7lvPoZRi6aotnHfKRKprmzXEm98HyxSoMoGaB6qPQNSCX5dc27Yr6n24ePR6Gms9PLy7HRwLH3+cjnLAoe13Y1saMtobQGr4AiFKKwOiqEOxCIfq4BuMf3RBjNbyR9/LIUOG0KdPH0pLS5k5cyb33nsvhYWFHHvssfsZz59z9xd1JOLi4vjHBf9k8uTJcsmyVaKiqkoef8xRMjEhATNKxvoR521NenM4HCxYMJ9u3bpy2RXXsGr1OiM5KVlkZmZYTU0NMtBQqacnKEZ3y9F7HHOs6DOgK4RN7EY/dfUBsrKyVNfiLj8t5PE/IIQgPiGZqvISIkb929Ir3/zdKA5s/yyEoKnJL4ra5WpHHz6Z9z5calSWVggTpzV45BS69RrkXLpkKdNOvNY47LCjtAsuu0WbNH601Fr1hfgjbMyiVRytnbPovYgIOplcfc3V7C2vsU484Zi6my481OUQDZpLNXkQsrkSSGDVNVHQPptDHJItO8r4zzOzGTesO7pmsX3XXg6b1J9OXTuAYWKHw5hKQ0kTNrphmw6bv4IZ+3pD/CoOQDREW7JrE3W15QweOW1fyczvCJHdlo3T5aFjcV9i4xLZvX0j5aU76Td0YnN3KfNn0yj4C98f+7pEBggGfC3yun+Ad/9HIxpSzcrOcdx07QX+a2+81/Ovsw+WV158DFgWmPbXlnylFHqsh+WfbcLtduFyfncduBCCg0b3JqcoF4IGGGbLMVUTOHyKYIyAQlA+EOvBd6LG4w8VcvH4NUgN2qc2UZLuYdtxMTz1ZAGHd91OuEHHqTUb8XCYNm0yOHRiD+2hR5/wXnTOiV9jzEfXg1AoxJdffsnIkSNb/uZwOHA4HHTs2JGRI0eyZ88ezj77bJKSklqchl8C0fUpLy+PvLw8Ro0eI0S0lhB+kpJoa7Lxgw8+YD70yOPK7fTI4naJ2sUnD9EMw0d5eQ22jexS2NtR2C6bvKI2kQhPgw/TtHF6XLicTjsYDNI6BP5L3Q+haeS360LJzs3k5Bf9ZKGd6Hd79eqhDj3iOOvmB95Uo8bP0Lr0yxfpaeli0KD+eNxOOfmgiXLgoAGyX79+IjsrU8Ifo9QvmsaJVjXs3r1LPfHEkyIrK4tRo0ZRUrIbIXWrV49u9SefdmZ8ZmZW4MaLj3NNGNXbE0upFwlY+/fZ1jSJ7QuQmZFMZucCgsEQ/3n6HTq0zeKaC45k/Za9dChswu1yEDYUTo+G5o8FvQHWvwDd9pclF+qn1q78D0QnSXXlXr789F2Gjz+E+IRvziH9brBPo5PGhlp2b9/Iru0b6NpzMLltO7TkKP8qF/z1EFVt3LNrCzu2rGXA8IPQ9Wha5nc6j34GNOu9i9Idq/d06zU4e0CP9sLtcfPIrWeQlp4Ukf9tRlT7f+781ezZW82Qvp0oyM/4eprgQLgc2IHwfqx5G5izLYNDFg8knKkRelIi3EAV8Bp0ebSBNee/i+FzM78khVO+7Mt2Rww99taz4pJ3CTd4cGr2vnHFeVj65Vp12DkPWnPfe1G07TJEizrT0bVg27Zt3Hjjjfj9fgYMGMAFF1zQQoyym5n6NTU1BAIB8vLyfrVqnQNFan7K2hX9bkVFBR6PB00TjBo9PnTClE5aenayHNy9s8xpmwExLmjwRUQPHJG+7yoQbHGULFuhOXUGTb8m+MWXK9ya/HUY8A11NSz87B3GTTvhZ93EVVRUqg0bNzJ82FABsHPnTtasWcPEiRP3e8Z/lAqtb5KaP/W003lp5ouMGDFCDR48JPzWW2/quRlJQilCeWnSdf4Zh5vtO+XohPwSw/5GHqdt25GIp9vFV/OX43bpGBaUlNVRXdfIuo0l3Hn9KZEvJjpp2F7CP+/bwMuBIhqHdYcHO/PypR8DRBQTf9nbEGX8NzDvkzcZOHxyxPj/3kPpzXdd2TZx8Ul06TGQ+MRktqxfTunu7fQfNgEQzdGAv8SDfg1ENl6CUDBAOBTC4XD+TqV/f14IIYRSClvGe84//7wKGShJvOr2Z13D+nXivFMPQtP1iGpfFFJQWdPAhJE9SctK/dYuga2hgvsb/8hhFGM7l/CG+SUzNgxG/B3MDAEayDyFy2OBEmhSMbJdGa/KhVTXOEkaGIaAA4ds5XQIAWGLgtx0MaBrtnb5dXfaTz3TB6fL1VICFq1zf+qppzjzzDMZP358S4gd9u3GoyVyv2bet3VaIvrzT0VNTQ1xcXFUVOwlGAqLk44YK2M6dJGEqxUNfhHaU9WKBwGISHOg/fgbuoZlhJ033HB94Lprr3XzKyxELrebUDDwszobSinS09NEenqkdDEazUhPT0fTtP2iG38E4x8tYfz4o4949fU3afKHjN279zBxVC9/YlKqZ/HS5c4N69bqu/fsEVc8eIFMzkj09O6QT0xynFM1NTbT5b4uH27bNlpcDBW7q1m47CtystJIyUglJzeDTrU1fLZgDU+v+kyde9kTnHfyeHHt0zsoacygKWMsrup8jPZdCF4DhPYd9xePAITDIWa/+Qx9Bo0hO6/9H05op7W3X1tdTsmOTewt2UaPfiPIyG77VzTgV0BLrrChlq0bV5KWmReZS793R/JnhGGatrLMUKChjEmTp7nvvOwIMah/l4j+d/MrbNsK6XFyxQ3PctOlx0R+/gnntAHpMpizKofpG4bQlKiBA6iCpEUGNfe8QrjRjUOzES4DdAWmgKDja6bItsESivK91eqim543ZWyB48UXn9svh19eXs5tt93GqlWrePfdd3E6nV8j9bU0OfqDP/dAIIBpmliWybRpB4c65QhXrx4dqKttpF+PIsZOGQpOTVHfJMK+QEtQUgG6FnEMlKaxas12Jp5wk/Hm2x84Bg7o/4uP27Istm5YgWkZdOk+oEWX46eitSP4u40Mfw/4/X68Xi8ffvC+edoZZ8pxw3tah43vKcKGX44bNcRYv2mHvnSbXbe1xK/1ahNIOGpKL0FSIjQ0YYfNiKbGt+36PW4WfrGM1Jg68jLScOXmRKJDponVGIvmkIw87Brry2WbxVO3nSxP++I4ApfmQHweTkA5bMy2gpdeeRX4FSIAphFm3sev07FrX7Lz2v8h8jYHQrSKBiSlZBCfmEJyaiZb1q9k59b19B8WqZP6ixvwy0IpRU1VOXU1VfToN/L/lfEH0DVNCl33PPrKB3a/Xh1Fvx6FCE2A0VrERoBpM6h3B1577ysOmdj3axUAPwQSsEMORncr5SPtc8LNTq6VBo7OCoKRnb4A7KAzQgyHfeS/ZijbBilxZKaprYs325t3VGhnnXdy85D3rXYZGRkceuihbNmyhT179tC+ffuv5fj/6AYiCo/H02Lw7rvvXvXc00/ULV5XZXtcutj01pfeh559z9WlQxtxxNShdBvRC5yOiOyzFFBZg+ELYxth1XNAFzF+ZB/5zNNP0atnT1yuX1YFL9LeupA5782kS/eBzRu6n6fq4o/8XJVSWKaJ1+vlvXffDp9+xt9kXU2FOO+EC7Ueo3pIQiFobHL16d+BPgM8MSVlGLnxfgVBYVfVEhWeClsWerPgVMuuP9ZLU2Utn320iC4FcZzz7Il4O2Qjk8Io2yK+yeKJ4+djavHomhRHHnmEWLx6jzlkSAd9np2MUWQTaVD99eZXv4jFinhzNmuWzychKY0OXXr/IY1/a0QVyTRNJye/iJi4RPbu3sZ7rz5BrwGjyM5r19II5P+TYfo1EF0YjHAoEvJmH7H0/wuiOcUXX3hR3HDBZDSXc7/8P0RsgxEMMeWIkdxx24s8/fJnnHD4CDTtpzoBOgO7le3f5EYI8DkiOgB83ehHoWwb4XUTbvBx2lHXqr1VQfOEE05wnXbaqdi2tV+eVClFt27d+Pe//92iEvdHNgr/C1GSZ69evZzt2t0kfT6f7XRooqSkRF+7bkNw3ZqVgavufduhbv+vSwiE7tAIBkJcc/Gp9BtSqBMKCuI8BAKGfepRR2u/VntzTXfgcnsIBf04XZ6fVXToj4iobfOHQurJ/zwQvvDiy7XkOE177bFLRZfiXGGVVYEV+YwK+5Gaz53lFS7bjLQHl0KCUwMp0eJjoNEf0e/QNbRYL8u+XEFdXSPt2+VS0CWVFbHF7M3T4HOgGhgNTU9LXjptEYdNGS5X7Qjb73z4uf3JBV9y5if9+HhpKpgCHYVUCjL3jf1nnzHRkPj2zWuor61myJjpf3jjH0XraEBichrxiSnEJ6Wycc1idm5bx6ARU0AILNOM9hT/jUf8x0d0l1RTVUZtdRk9mgWapPb/7942Ex7trPRETeoahPcvxTJNC0dqAo888Dq1tY0cNLxnJLf/UzXqBdh+537ddb9pp38glFLgdlJbWccVt71kxmR0C95yydHeYH1p9ANfu774+Hji4+P3+93vEQdqDkTZ3lrze/99x93sBMiEhARnVBI5NS2Dnr364PMdLDZv2SorK6s1wzCaUx8a/7zhckYN7e0bNXygf/OmefGzPprnvP/RDhFH71eA0+mmuFdEE6DfkAm/b0L3Lw8lhBC+QNC34LOPjC/nvOW9+u+T9cOmDKW4a0Fz7ssEbV/TI2ULNA2BAsu20ZwOFn21gbsefQdQXHjGNAYM6EJ1WRVLPtlAbk4G3bpmkpaWBgRIatNE+fb4iPXuIlDLFC/3bgOPCl46XtFn2vVkZrexNi/9Qj0wTImaei+quWBIKMWO6n2D/1kdgOhEqCovZdOapQwbfyi67vjJTTJ+b4hGA6SU5LRpT0xsHBVlu/ngjafp3GMg+e06AX/pBvycaKyvob6uhriE5D+NQ/lDESFDKRUKhBRK7bfi2rZCT4jh8YffJiHWw5nHjCO/XRYY1k92AOB/G/tvgpACFHw6bwVzFm2XSxbPdOvSlp9+tCX6ia9954+S44+Or3U/+ujvol3uooQ1y7L207mPonXeu6Xz474mO1pMTIzWs0f3r507IT6W1958y/XgMx9oedmZ2rTph/odDt3LN93QXwBSSpJSMln0xQf0HzoR+/9ZNK41omtRqLEiuHH5XKfP1+A86uBD6Ni/C3ZlbYSD8zXFRFpK+6QQKMuifUEWk0b1Qtd1CvMz2bxxC+XldRS1yyW/bTaaw4ERMnHISDUUy8HuIeBVwCeQdYqXR+cR95GT5JQc/8hRQz1XPvCWufCdXg7ymvZbA3bM3Wf2f1YHIMr4/+LjNxk54TBi4xL+tN5hSzRA2SQmpxOfmEp8QgrbNq1m6/rlDBt/CA6H669owE9EdHEMh0IkpWQA/Okcyu+DKOvdsi073qtpSNFiLpRSCF1jwRerEEIwfXx/PElxEAj9r8P+ouMVDgdleyp4Z84q8/xzz2qMjYtL2rN7u9K0bw/f/N5zwdFd/ueff056ejqdOnXC6XSycdMmPv/sMyZNmkBubpuWz0fLB7+phPDr17r/dUcdhAMxePBAOnfqoJdXVOiJiUk4HDrJycm/6k3TdJ2MzDbUVJWRnJr5p13n/wdURLvC9L/wzJPeZ196y33MtOHkZaVg1zS09Jr4LgghsC2b1JR4Tj59KnW793L3I2/y/qcr+e9/LlTtitsJq9GHChuABB3sCoEaD3I22KVANdhDBXKzzZMx6bx1yZn24w88pdU3hYx33t+gTRpZLKUUWKaNZe8fNfzZ3OxIN6cwH73zHENGTyMpNeNnI4j8nhGVupRSkpnTlu59hpFf2IWP3n6OzetXoDXXqtv291fO+gsRRBe/irLdVJXvobjnwD+M7OfPieguY+7cOei6w3C7HcowDGwrWmcPQtf45IuVTB7TB5fbSbjBh/0bOUq2rQiHTSwpCYUNVm8qU0cffXRQKYXT8d3CRL93RHfwBW3b0qlTJ3bu3B487IijQ1f/6x/2bbfepEaNmWgXd+vB0888QyAQQErJV4sWWv0GDLJWrlq931rQ1NTEzp07W6SMD4QQokVpsPU/27ZJSk6mU6dOZGZmkJKSov/a66zT6aZTt36sXPwZStn/L53y5vJEYZmNvlfefF+deOhIccZZM/B6XcjvIVClFFimjXS7wFZ89OYnlO+tYG912EhPz7BOuuA+sXXDLrSkeEzbRlkGhl/ntWO+ILckiBqukEXAcUAvULsljLR5Z8+w2C2bNhlvvv6q887HZlmmYWCaJo5YF+6c1P3G8PM4AM2e6pxZM+nWZxjpWXmR8Pf/k9K4fdEARWx8Iu079qDvkAnUVpXxwRtP0dRQGyGA2PYPktD8CxGEAn58vnpcbu/+rVv/nyDaKOSe++63777iSEdOzw7CkZSgtBg3YcMkFDYxLZuE+FjSUxOQCbE4k+N//TC6AsO0kLqOq02m0jSNF9+aT0FBgUxMTk0VQiC+b4/eXxHRnbZt28q2bWUYhgqFQpimuZ9hs2wb0zAIBoPktWnDw48+Zhxx2GFyWCeX46rLpomzjhkhLjt9uChMl9anc+bYQkiaGuoCfzvnH2bHXJe485Zr7HXrN6joerFlyxYmT57Mhg0bWsbxfWDbNsFgkHA4/K1Rgl8aQgg8MXHU1VYghPz/yAFUzYGswL133+0d0jPbdcbR44nzurCt//08IhwS0JLiWLNqIx98/CU5OZnkF7cnp02Rv0Nxf+P00/9WfcHVT6h77vwvjqQE5cxJw6HpdEmr4cOD55BbF8Q+VuGIsZFzFCwB1U/ySlyqrHb3Fv6GGlle3WBZloUzN41P5iznzFNu2m8B/ek6AEphK5uFn8/CGxNHz34j/9/maIH9GLEBfxM11WVsWb+SmNh4+g4eB0R6Ioi/Wg1/N5rvYygYYMvGFTidboo69/p/x6uIdlZ7+eWXOenkUxk/tCMxXjdZaYmMH9WHCQcPU2gaBELi9LPvJDM1kYz0ZAzDVEdPHyJSkuJw6L+SWp4CLTGOzSs388Azs2hsCtmvz5pvdujUVftq8VJNKaiuLGX5ormMm3rsb97HodngCwBd/2ZBr2ifeiEEDocjmnVp/M9/HlCfzHop5rTDBmuTJg1CeFyEq+txOnXqcavDjr1OTDvsxKZ33ntfHjI0w7233jIbrRT9yiuvksnJSSil8Pl8rF69mq5duxIX9+39Gr4Lv6UynmmEWbt8AQkpGbRt36k5DfD/4920m/tcS+GrGjV8TMz5xw/xHHzkeKya+u8kY7YW9GmqrOWzBcvITEsmLzeT9LRklBRUVPutMUfdYnfq3FFlZWYEHeEK767du/XsrHT+efoU2nYvhMYKNu6JZ8y7Y9gT8MAYELmgOioICtxXvUmHNbPVwAKl2qZY1rIVqxx7q8KBo084zZGenq5DRAfgpzkASmGj2LZhJWWlOxk0cmqzctX/j0nwXWidE6urqWTvnu1sWruUPgPHkNu2A/DH0LP+rRC5f7Bn1zY2r1/GsLEzEOLHNV75IyP6epaWlvLqyzMbvLrfcLjc4dI9pY7ykg2pazeUEJ/gwTYsYpLyGrIzEkiLs+Jfe3ceg/t35Z47ziZc34iG+OVY4opIGZOCq299gY8XrAtNP+ToxtiE5MS2+W1lu3btRKeOHYWQkqqK394B+AbxLmVZlr+soirg0GTw5ZdeiHvtzfdiDpkxQ55x2knS5fYC8Pm8edanc+aGVixfIhqqdzmuPe9gfej4/tAYwDZMpFPHCBk4slI59/zHjWdfmaNOndHHcfc9/1Qzjrre+tsF1+kTxo0SP/a9jxr7+++/n5kzZ3LYYYdxwQUX/Gz35cegvq6KhZ++x/jpP6808O8NlmW1KBLatq2cDocIm2btvbddoVXsXhd7yZkzZGZ+BrY/9DVVzShsy0Y6HeDQmP/5UvyBIEXt8sjKSsXlcYNhRjY4Lgdr1m9XX6ysb3pvziot1iUcY0b2r4uxStI+mb+Wipom9c6zVwkcfjZsiWctSVy2pBs7R3owujaXq1eGsTr35b6rz+DyKy63/3XpZY2HzDgktmPHIvnGG28I+MlCQAoFVFeUsm3TKkaMP7zZE/3/lwv6JrROCyQmpxEbl0hKahYb1y1l/apFDJ9wGC6XJxLS/p0Tn34LtNT+m2Fs20LTdGzL+h/f+vMheh9ycnI448yzvB6XZqPpytfUJJYs/qrSfvl5zSGl6jd0vBw5YkSsQ5eiZOeW+sIeY5v+++KzSef+837v/f8+PxJRqff9ImNUDo2m+iauv/sVe0+1Cv/nsf/Kzp06xEupaU6nU8AvT9y0LKslt37guVqT8EzTRJMSwwZfQ1Xdv++7R5v58ptxvbq1cx8yobcjLtYd+8iDj+rD+hVpgeqN4V79R4isjBRhK9vOiJV6SqLm8tfu1i485SCGjuqDXe9HKBupSZRpo2sSVVXLtedO1k6c1kt07ZEv1m/y11c3CW92ZkozL6xVz4VvcQa+6ffR/P/UqVNZvXo1F110ESUlJdxyyy38Ei2Avw8cDhemaXxNuvaPiP3SPc3zKUpCdjqdrSMtAmhYveBtMfv9WbGXnjVDZhbmYNc3feuzFFIiE+LYsnojG7fspLBtLumd2pGUFA8oVNhEiOYKs5BJ154dROd2Yc+ofoXh0y97IpyQmpc4oPf4ig6dvkz44osFrinHX8e7L1xLp24GRRU76dqvgiPeGML6yiQYJVDpbpKPfMR66+3rtcLC9nLL5k0xxcWdv+Zt/+gIgFKKYNDHh28+w+iDjiYuIfn/vSDEt6LVfWlqrKe2ppwNa5aQlJTWKi1gIX7BTl5/JESjJw0NtWxZv5yc3PZk5OT/f2UaA9/agCbc1FgnlG1H3r+IUC+mhalrmCW7dzlOO+00Q4ar3AeN7sU5J06MpE++45W3osTC5hoDKUSzKlnkt/vVvdsKKQWa08HaNVs5/qInzbffndWYm9c26cCxQ8Tw/RwRANu2W4x91FA2i+BEL+xrN8owwiiFanZIfMG63b6rrr46dvOGVc5zT5yo1zUFWLR8E/WNfkYM7MbBBw3GDBv2mo07qWtoxK3rFA/tLp5+6C2Rn5fBkceMRfkCCOsbyF4K0CXEedm0aicnXfCgcdrZF2rHHn2kjMob/1hE54Hf72fp0qWkpaXRoUOH32znbdsW2zatwe9vpHvvIUREH/8Y72h0HkXnktaswGfbXyca/1971x1eRZW333POzNze0oGEEkoSSIAQeg8dpVnAyroLCvq59ra66irq2tZV7FjW1QUbgjRBRUCQ3nvoJQTS601um3K+P+bekFBDCD3v8+R54N47M2fOnDm//v7mzp2LKVM+54qqqX5F4QGfVyaBAsMTE4awwUO7Q+IcRFVPoq3WNA5mNaOisBhLV25GZLgDjeMaICrCBSIKevfNU46NgwoEEAzawUP5fMTd76Bn777a3x+f6GVKoe/D996OWr1pLx679yY+ZFRPwMyJP9eEAV8nY3mpAyAcOMJ42rYe5LGH7kNqWsfKdTJ9+nQA5+EB0G9MxfwZ/0G/obfA5gi7pjfns6JqkqDNAavNAZvNhbzsI5g3/VOkdk5HoyYtAOgvFKXXVpb7qcA5R1lxIUoK89ChS79rPlxS/d3iwZJxIlltzuOfBgWtwIgAQIiNa4w7x/5J/tuTj/L3XhpHzib8ZVmFaA+WkzOi6wB+mSj+gN4QhxIEghuWZDKAWs2AqqA8uxjvfrVEvee++92xcU3tiqJUEuKExn5+kUaOkKGiaRoRBOGktTB71o9YvGQJkWUFx7LzoHGu+XwB1R/w4957xtHbbruVAdBWr1rhfWnSi6woP8vZt2uC9O6ke9A4oTFQ7kG3tCTIsoK4hhGgBhEwS7R7n/Z6QyWHBfN//AOR4Q6MGNgRxC+DK+qp81EIEPAFIDntfMp/ZpMBg4f7xt5xm1EURXq2eQit88WLF6Njx47VSJGqzqXZbEavXr1qPad1BUoZohrEYekvP6Bth54AVACX7/4VImwihOBU68jv93ODwVD2wYcfkZUrVoqiKPDde/aLLZtG8vE3tWeNY+xMVf0QKBWNRgmJLWJ1BTmgVPP6co2DGiUwQrBq2XqUlVcgOSkeUVHhMJqNOotnQD6twUwpATSA+720WbMIfPfeeD71pwOe4WPuMd51+03m28c9lttz1yr7oiW/m6Z8ORcaGBwWgknjJvLkhBQQCpLpiSh44P9IxMgbbiRms/mU1zlnBUBfwAQLZv4XXXoOhSs8ul741xBV58gZFgmb3YnwqAbYs2MjtmxYhr6DR8NssQXLanDNCrzQPAX8XkiSEcC1Wft/elRpGBLqEoOTm+YAQEpKssFktmixMeEn7cqqqls/HLrrUYxy4oepv0BRVBSVlBPJIKJDcjw6dGoN+AIoLSmHo2UswDk2LtmIqTOXYWCfVBCuYvGqvep7n99jUxSFsfPgvQhl43POSWhf0S0z3ayklOLggQOYOm0aRMkgr9uwiefk5JCYiAhvt65pXpPE2fV9W0sWMWC1GTXB6/Xjg6mfY+q0b3zNm8Wpa1cvM/7lhs6sR/pIEmMxIyI6DNztAaEEDeOidNrDgBysuyaA7NGtOElE9pE87Nx/FMXFbpjtFpyVd0cUkJ1fhOt7Ny8XRZHJsiwyJpzRSUophaqqaN++PU63aZ+oUF3qvVcUJVisNni9nmo9DmqKE9/tqpUNtIZeUc45FEVXToPrpdp3IZd+FTImLTc3p/zrb77jC39bbCh3lzFwDaIA5vF4LUnNnGgV46BxjSL5xJEDaVxcDI+NjSKQBFLpaOIAfH4gIFfzjFHGQGxmZGzYgf2HjyKxRWMktY6H026FvqaCVn8N7osQCs3nR+uU5uRvMZGmoX1aBT75fq02e+6vLrPgFa8bdn3BoJHxgRi77CgtzLJM++Zz8pXXBw0EeSWKo7DAF+wXdupnck4hgJDwX7ZwJiKjGqJ1+1AziGtTUJ0fjrN+eSrcKCspwLYNKyAZjegz6GYAJ9ONXguopP7Nz8GejA1om9YLZoseJ6tvu3xu0K0dBSkpKYF3nrlZGtSnfaV7VuMc1GQArGYOSgj8Cm649QUlwM2BBjExMqVU07iCorw8MS8vW5JEEWazER5PBfF4vNRkMmq33TRY/X7mL6JfM6hfTpshxsc3I6fbaCpZQk8TAlBVBaqqQRTFk45XFcXr8ZSXUijKR5/8xzJz5gxrapt4VaIBQ/8eiTzMaiRxcQ20qMgIlVEQwSBSEM7AAGgajmbn4+df12nFxRUY3KctbZ3YDMxmAnwBcLm65QacLFB58DsPIfjyy1+Q1jYeXXu1hVbmOa27W1FVCDYLFi5Ygzc+/7X8v/+bYWwUGysoigxdCbh61jLnGrKzDuLw/gx07XN9jZMBQ+73kJIX+uxcDJ+Q4A92lKwMAYXOo2laNe6QlStWBKZ8+pl8+NA+I+Uy2raM5sP6t6URkU5CVA2iQImiqIiJCoPNaoYkCmB2M6CqgE8+SVmpKvhBCKjNgpwDR7BuUwYaN4pGXKNouFx2EEHv2ldbcI2DSAxgBi3nWL627aDXszeXeZcvXx5WUVpA/b5yMKJpI0bdXGI1UqWhQw7L87oK0wcNaxAREUGqzmntQgDBG9+5ZRUEgSGpXZdrquyj7hHcADiH2WIL/tlRVJiLWV9/gCYtWiO1czoAPSyg19pePZvG2eDxuOEuLYbZYr+kpU5XMvTSNQmDBw0JLNuwTxzSP40osgJG9dj+1G8W8elzl5OArKLcqwX6DBqFiRMnGkVRNAgC45xzeCo8xF1eETLAud/vJ16vD0aDSBvHRrEu/ccSQTTSMwn/MyFktQmCoFczejzqTz/9VJKVdZhmZGQYjx7NEivcpQZVUcKKS0rRKaUJ/c+rd7AIl51RAhIWbicQBQCcQVb0RSLLepQkuFc3ahiJcWP6U79fhtFp1bOtyypOyrmp+m9VI1A4CTlXIMsarDFOWC0GKOrZuSgExiCXVaDfkM5YsXG3deh11ysjRo70vPzSJAMAdqq5Cq3zd955B2PGjEHDhg3PaS4vFQihsNpdyM3ODHonzjw/IYu8igueZ2ZmgmsaiYuLxZo1a1FYUABFUZHWsSNiYmIqCZSqdofknEMQBIiiiJzsY3jjzTcJ5xx//etf0bx5i8rWvLLsxzN/f0775ZeFSlKLaDKwa1Nj2m3DmdkoIczlQHiUCzCIgBakYyZEp9DWNEDj4OXe4H2ebIzp5a8czGxCwF2O3+f+DqNRQqfU1ggLd0AyGHTlQVbOy34hlIArGojioTENnDQmJsLSXyWm1k2HlOVXmJSkxMToI0cy2V/u+pP9aFYm8XlK6YHDR23z5s0jt95662m9STVWADiA3KOHkXV4L9KHjrmmhNEFRZV5tDvDYbO74HBG4MjBXfjx6/fRpddQNIxrDiCUH0BxNVvCoRfd56lAZFRs5Wf1OHeEXMWTXppkbpvSRhnYs42YPrAjUOHD4SP5+PybheThhx7MN4bFi7FxTRzxTRvDZDJVn+zqxGEnPggSEXxGtXH7yooMg0EP8UyZ8klgypTPeGS4lYXb4WgYaUPnFjE0YVAPEhlpJ4RD0riGiDAnImIjAVnR4yCKCu4LANWuH8o9CF7L4wdhFEaLCdwbqMy2Pv3gCJhRBjOogE4TAAkqQC0IKDXviyAwCiIrePSe4bjlxl7sjfcXiN269SBTp36J+PiT26OH/n3LLbcgPDy8xnN5OUCSjIhu1AT5uVmIjG50xvUQir+vW7sG03/4AevXrydNmjQFQJGTlydbzdaAK8wpHz58yNAmKdH077ffhs/vgzG4VqrCXVaKJ576G7Zsy5BHDRtSkp+TS+4Y+xfXqy+/wNL79cfePbvk8fc+FOia5DJ+NeUe0a7IJK5hJJjVpJ9A0YWzHvKpNsrK9XM6j5amcTCjBAZgxdJ1cJdXoE1iPMIjwmA2GQHw41Z/HWxhwVUN7ldAqMIoAevb1uoAMWpHKgI5rvZpuGn0LTHDR47C/PkLtEaxom37jl1nZKGtkQKgWwJuLF88C9fdNL4yLluPugehFK7wKFhtdsQ1S8SubWuwYcVC9B58MxwufTe+WhMFjzeTOopjRw+gW59h4Nd48t/5ghACh8NBp379rfbYA+MD/Ratk+6+fRB63PgM3v3XpKL0oaONdkd4ZSOZmkQEScgsDuJchX8oCctgMGrvTJ5c8fGUz409U+PYV+/9iQoBmTgdVhgNIqxmEwSTAQgRGRECKAp4ha9SupPQSM5wfUJI0LpTzxp2lVUK0enBu/NT8MHaeERH+6GCoCBLwHd370ajcAWqJqEm5c6E6PFeu8MCe4SdvP3KRDr0tufJ/gOH0Lx5i5PmLPT/UCvkKwkGowmtElOxef1S9Bt6azA0XH2PCsXh3WVleO7553A0O19r36596YMPPOhm8IlOs2y1C25rmE2iBofVuGlTU+Xpt2aVf/vN19Zbb7sdb775L3X23J9Us9ksACBut1sRmKhen95Oe+TV2wyx0S4nt7YhX08j2sOPPyM7HRYWqCjD6MGtTXffO5LajQZd4CsquMenD4qQYHfrmq1fPZ6u6a16zQZsXb8dhzKz0SahGVJSWsJuMQOU6lb/BQIhCMalAJCAAPgRSUvDVM9h8uqzE5c9//oXXfr3SzeMGnUDHzxkCKxWKzkxMTeEsyoAnOtul/kzP8fgkXfBbLGFrnwh7q0eAAAOUTLCFW5E+87p8Ps82LphOUqKczFw2B0wmqz6Rs35VcmKpyh++L0eiKKkl0de6gFd4eCco1fPnmzGnIWBDz941/PIP7833jN+fKD/dbcxi9VlC/2mtvkmNTmmatmew27HsZxcrXfvPvKAri1NMz8cx8LtVhLdrIG+QWtB/72qncI6u7A5MRoAMI6sUhP29LJhTy8boAAo5xjzayraL7Pj6buKoWlCzRhPCAFUDYpfhtPpZDeOGqHOmPEjbZvShsTENDil8nQlJlUTQiAajKhwl+pjr96ssjK8wRjjU7/51r9qxTK64OtXIMJrD4swWyALBIRTCE4CrjGAYFDfBKYpQ+jz//6377U336bX9U0i7//9elHhRq5waFZJFUwGgTVqEAmj3UTh9zE4JKS0jOCDujRgA3q0IY2iXSSxVRwEQYDm9oAwek4CvypCHhtiteDInkPYuGUXmjWLRZ9eabBbTHpZn6JeUOF/EjgAEBgNRILmB8jBDi89mJ5/sPTO/Nnzfkq9796J6NmrN3/xxRdPecNnTAIMLcS5309Bp55DENOwCeqF/6WBp8INd2khNq9bCs45Bo34U2V/AeAsLs0rAvq68nsrsDdjM8xWO+JbpdQnmdYRPBUVmDDxPp6xezdKiosJV3zaxs1bqdPpQE3eZ845AoEAGGOhmvuz/j5Eewqg8hifpxTv//uf2o8LfufPThhAu3ZKIK5IF6CqxzPvgWqFDhcTAZVCCq/AM990xGtJSaC9OFQQEKjgbgb27HY8bZiNZ++JgMEaDS7LNRQmBF6vD6RBf3e/IWOMb/3rNbFr1276N1eYsD8dZDmA3dvXwmy2IT6hXeW7G5IjSxYvwd0T7vf37dqCvvLUjUJMpAtQZVLJk6JnW0LvdM1BGAVUjiPZhdzj9aJBdDjsEQ6CkEebEV1RlBVwRdUTW+1W/DxvBQqLynDn3cOAsgo9H0RRaz3PlaEaiwkFR3Kwav12NIwOR3zTRrBZLRAMoq6sXg6VSpQABArMLrmw1LC9RGvc4oP3/u3Kzs7mr7/+BmnYsCF+/PFHAGdJAgw9tEXzv0VSSpeg8Afqhf+lwPFEwZ79XCjMP4a50z9BTExjdOlznf4LTdM3zStUWIb2gKLCfOTlZKHvkNGXnCv+akBICD/w4AP+tvEWccJt95YrzOz/y4QnnMeOHs11Op0NdJP77OwtiqLULByjaZxQQqpSN//220Ls2rVXHX7dQPfCX+bbx43syYYO7wF4feBe32VR7cIBUMoBn4hyQdRj/SqArwC+nIC8BGiPWvHW31OAxTY8NdwHK/GDc3bW0ILGOQxmAzZt28qdLhex2eznzY9wuUEUJcQ2aYVVv89Ds1ZtwTUOUF2OrF2/UXvk4fvU+V89IoWZGYmMcoEH+SWA45V1x2PvpHJZxjWLIaDBxDxfACFjIVSVRkgwQY9zEAooigYOAlAK2ReAKNSu6iKUcEitFhQfy8PyX5YjzOVAj07JsNoseoKfpulW/+UCjQMEAsoLhXCDlBxuoaXPPvP0mg+nfNbl9ttuxfIVK6tZ8Kd5m/WHtn3TSjgcTrRIan9VLdQrD8cXr8XmQONmSeg/9FZExsRi3vRPsH7Fr8GM5uNlL1caQi+oogbAcfVyil8KMMaw5Pffyf/d3oP0Touw9Gtndg3tnSQsmTMlYtu2bcd04R9KgQ79aRzQKh2EhBAYjcYzVmNUrjtKibvcI2/ftrXo4YcfcvcfMND75BOPyxtW/6peP2yoLT4ukv7lnmFQysrB1dpbZnUNAkDTCGBQYKlQoWYQMMaBMABrCPhWgDZpBG+DnfhhbSH259kAKShszgJFVcFddnz08UeGkSNH0saNGyMnJweyfGLy2ZUNgQlAsLoiVGWxa88+PmHcHdpX/5ogJCQ0IpHRYVWE/1nAObhPBvf4qwjaUJLnifTDBFA0xEbrzZbKDueAGaRzboutabr3ilrM8Hr9WDB3MTZs3YUuaW2Q1iEJYWFOnXpZVS8Pq/9EcOghGEU2oSgzMkxb3/bxe4ZsUCH4b7rxxuozdqoQAOccWYf3Yvf2dUgfMgZMuLJ7eF+t0FQVHo8b2VkHkLFlLZq2aI22HXvr311BHAJVqX/3bF+HpvFtEBFz5kziepwdITf8o4896gkTCszPPzRK3zs54C73ou/o5/HFu08FWFSvwjZt2pw280zPAzqZHvXEaxFC4PH6tH27d+Tu3bwo7LXJXwjd0+JJ/+7JpG1iEzjC7Mg8fJRkHc3D9Tf0h1rqvuzKOzkAmRMERAUvzEnFW6wVhNEa1AAFmALBKUD+++d42uzBC3e3gKS6wTk9owrAAcgBGVJsQ96p83j1+zm/szdf/yfZu3cvpk2bhqioqKtmrXNNw+EDGSgqzEFq537IzDyCeyeMkyfe0lsdNbK9UXH7wNiZ5+t8oHIOWIyYP3sFsrILcd+fh+ieiBrMb6WyazQiUF6BP1Zths/nR2rbVnBFuGASRd1NeSW1JNdTewEm+opKAt4Ckrhry7bd3YDThAA453CXFWPt8l8w7Oa764X/ZQzKGKw2J+JbtUXD2ObYv2cLZk59F23ad0NCcicAV5IiwFFRVoLignx07N6o3v1fBwix5/40d464fs4Lwc1L3+RsDiu+ePsBjH/odemD17SwTLMhRwYjlBBYzSYV0FRZVhijguAKj4ySJAG7dmXg0KHDGDhwQKXhE8osJoTgwMHMQrOWq9h9myNfn/wp/fqdB2iDaBesFiMgiYDAIHANBQVFwKk49C8DEOgNFUTO8MrwjXD9LuPVbxPhH8uhmTkYODTVhNSIMkh2GUo+wdm6LcuyCinagX+9PsPXvssAac6smSQzMxOTJk1CeHj4VSP8AT0XyRkWiYytq0EIwcxZszSBBJRRt3Q1ynnFF7w1NQPAvX4MHtYNM77/Hf/97nf8+U+Djmf9nwLHBb8BgXIPVixaCa/Pj9TkVnCEOWCWRIDRyyfOfy4IJglCVYxhTlEKE46mbqnydTUFgHMNqqrh55lf4Pox98BgNF3UsdajdmBMgMXmQOu2XdG8VTscObgbM6e+h5ZJ7ZGSpvOFX86KQGhMfr8XFmuwL3oth3laNrfTfH61IpS49OBDD3j+dGNXi8Nmrl65pqho26YZ/vfuw3jw+SkGX+DjyJuGdYPH48fS1Tt4UXE5mMCQ1DKO3HzDiIoFy7Zr30//0dy5Uwc6ZMiQapNY5vaomQd358Y78p3fzJxj+PL7RezZB25CyzbNAJ8MhLqdccAXkKFpp99EOQc06KVZNa23r2sQwsEVAokJeDJ9GyyrFbw6ORE+ymG1iTi2WQZL4Sdlup8Kqsq5aGbk4AFe8t/vF5s++uhj1q5dW4wdeyfCwsIuwt1cfAiihMioBti4cQOf9f3/lDlfP2PUisqIcDEU+mDVhcQoundshbWb9yLzwDE0bhINzSdXY26sJvjdFVizejNK3R60bd0CkdFhMAoCiMB0wV8D8qfLGhyAolKo5dVq+CsVgBCr36xv3kP6dbfCYrGfdI56XN4QRAmCKKFF61TExSdiX8YmzJw6Gcnte6BVckcACLJ0XT6KQCX1b0EOsg7tRaceenfE2uYAVOYSBBPWQue5XO73YqByTouKCpcsXOBc/sPzBJSe7LpUVCQmNMa09x5CRYWXfTVjKcA5/vX0LSj3+mEQRWzddRhfT/vG3K51U77of0/QlMFPaPfde3d569YpgQ2bNpteevEfbknNJSb3puhR939E4xqGk68mP4i4mAg9bntCNv/pngIHoHECRjmYoAIqgabSsyoBnANqUBBTUndKAyEcXCUQQfHXDvswNukw5IAKFuXCF3nrEGGOARR2xtRJVeMgIiX5xcRz811PmR5/4klDjx7dr/r8FovVgaYtUvD226/xcJcFjhg7kbPyIUrn0X3+HEAoBTx+NI6LwvbdR7D3wDE0bhUH7g3gePIgQEy64F+5aCMqvD50SEmAM9wJo8CuHsF/IniIRECH3kMzuGH8POtLdOjaH5HRjS7V8OpRBxAEEYJVRHJqd7Rs3QH7dm3GjKmTkZCUhuS0ngAuP0XA7/OhorwEBqO5Vu7/0BrOyspCSUkJkpOTARy3hLds2QJKKVJSUq76zoLBkj3+r1eflwb2SKR2q+n0rktFRWR0GCI5x+MTRwEAzFZjZbVvSmITjBrUmZiMEpEsJqyeNYkuWr7NsmPdfIuZgAwZlG6IjXERi4HRxyYOR7dOSbDbTYDKa+wu5ZyAEw4malh9LByL90WjVaQbI1sd07PwKT91tjIHCOMQpGD5YIDVSGmoKQjhgEYhMA3hNq9uXUolMNNyiGcpmtA4B6ME/oCK0eNeku5/8Ek69s479NLdq9gbFXoPK/wqNq1bS555+HYBxWVgF9j1f/JA9IooguMtrjWNg1IOYjLCU1SGFcvWI+APIDWlFcIiXTCwq1jwnwYCoC/EDat+Q1R0LOJbJl/qMdWjjsAEEWZBRJt23dAyKRVHDu7CnG+noEFcU3TqMRjApXeNE0KgKgrKSwsQ06hZ6MNzPk+IW3zZsmV45JFH0KlTJ4wfPx433HADioqKkJOTc8Vwq58PQo1YdmdsyZk7d170sh9eIISxMycuBbuTma1B72CVzU+QBDiMdj13QFbQpWMiUts0o7KqAeCYtWA1W75uN9765wQYNA5mEM+pLIprADHKKPOYcO/3qVikRaNsmAC6Dhj2eza+vH8djD4VKiFgVQS7ohEIlgAWbo/F+BlpaOTy4al+uzAq+SDkChNEWncbuKYCEEQUF5Thgy9noEtqK3Tq3gbcfYZmQIoKKSaCv/K3D0n7Tj1LbrnlRhtjzFA13n81xf5PhD+g8LJyj9I0xiJC0S5q9TjnHMQgIiszF4qqIbFlLOCXIVpNcBcWY+WStdA0Fe1TWsEV7oKBUVS+I9eI4A+BAsDh/TtQXlaM9p37XuLh1ONCgAkCTGYrWiSlYtDIsXCFR+HHae9h9dKfjucFcH7WJh51jZDyUVSYgyOZ+5GS2qPW1L+hYxISEtCuXTsUFBTglVdewZQpU+B0OtGrVy+0bt262m+vNoQESl5+Xv7jjz4Q+dazd1CXy1bzrOVTWT4aD7LzaZW/kYwGWKxmWGwW3H5jX9x5Yx+8OXmG/nO55h3PNE5ALDLWZ0Qg/pWh+HVwDPL/aoC/OYN3DMMP6bG49d0uyKNGMKJB1U6QIkyDu0jEkS5mrL4/DE9sboeZO+IhmvyQtbp7xlzTQK0m/PjzanRq3wIDhnQGCyhnl2kCJYeOFaBzgtPKfSWy1y+rnHMcOXIEK1euvOpKAKvCaDRyg9mmrFq3DVyS9Ez8iwQ9740g4Ffg8wdgMRlRXlKK2bMXYe3GnUhrn4B+6V0QExUOoxTsPnklZfbXISgAbNu0Gj36j6rPur7KQSmD0WRG81btcN1N49Egrjlmf/sxlvz8HWQlUEkipAvmi/fCapoKRQmAMlZrDoOQazU1NRXfffcdxo4di/vvvx/jxo0DpRRms/myKzmrS4RK/jxeb+CTya+aop1G1rd7yoW5mKbpNdCKCiIJaNW8ETweP5jIzn3ZaASilSNgoCifx8ByASpxUCPAewNzrmuI2z/pjJ0eO5ioQtFCNeAAFIqYSB+a51bAAA0HepqxZYcTMKl1lqytqhpYmB2Lfl6Lco8facnNwLSzhzcExoDCUjz34Bg+e95C49x5C9wmgyhTSvHggw/irrvuwqRJk1BcXAygZj0YrgSEPBpRkZFqz17p7nmL1oOYJK5eJAHLeZCVwS8jPjkejBA8PulTrFq3E+ndO6B39w6ICHPCIF7bgj8EAQAGj7gTQn253zUDQikMRjMaN0tATKMmcJcWY8mC7+HzVKDXoBvgCosGcOHDA4QQ+LwVyDl6GAmt04Jjq/21Qt4Ml8uFiRMnwuPxYPHixYiMjESHDh2u2ti/bvnrMc8dm9YW//Dj7Mjfvn6WSEbpwrs0NQ6DJCAy3I6N2w6iQ7vm0GQFtAZrhhIO+AUkR5Xh2BNzkFliw9Pzk7H4QCTkARTKEAKtG8FiQxTGfdcZ/x65Bd2jciEHBIiUQ/VK6NIyB1PIBtz3aQfszbYCnYLsfXVxa5oGZjFi69oMHMspxM1DuyKqQQS4z3/Wd4JSAtUvo2VSEzJ2zAD8483Xorfv3FnmtJsCO7ZutB04lIXs7GxQSsm5Cv8T38uqx18uIQWj0SAMG36D475ZX6trfl/HunROgerzg12g969yThgDKMWBfYexYetutG8dj3JvGnILPbA3iYFWWKofcI0L/hAoAIiS4VKPox6XAHpHNhMiohoifcgY9Bl8Mzau+g2zvv0QxzL3VwrUkHVZlwidr7SkCHnHDqNxfJLe+KeOqIwFQYDdbkd6ejratm0L4Opz/YeeCyEEObl5pfsyNhwdf/f48A9eGUcjopynFP5V6f7qZhB6eNcgCTCITCdcOcdTMMJhE1W0Di/Ft0NWIXPifDxzbBe0yQQi5UAHYM0wF56Ym4L1+eEQJQUq13MCmMLQv0keNt26EGUPzcIzfXcB5UZI7Pw3eI0DMBqwfddhxDUIR2yrWGiBmnL/A4xRcJ8f1/frgN++fo7KpQcdvqIDtuhwC3HYzGT16lXKrFmzuaqqlZTNob/TvW9Vy3mrPv/QX9XjTzznRQbp1Lkzvf+R50oefu5T7Nt3jFOBnbEEtDbQ7xMgkgDOOTZs3InpM36F1+fHiCG90KJ5E9x5Q2+UuD34YdpCUJcN6uVE3XuJcXHqMupx2UOUDHBIBvQZNBqqqmDH5pVYs3wBmjRvjQ5d+lX+rq4Sl0LnUNUAhKA7rgZl1ecMSZLq/qSXECdu+gX5+WU5Rw64p371fuRPP/9h++dTt9AeHRP1LPxToOoUa5ycf8a8psFiNqBbWits33UEbdo2B5eVGq2RUOkfABANIIIGs6TCTP34x+AdkBZqeObDZIj/xyG3J1iphuOxWe3w/ujNSLEXQ1UZQkEdi0k5ftK6XkiE6gqTxkFCTStqeih0qzQs3I5Jj40hzGJCSlJT3qyhkyjGuIpxj7xuycvLEx955OGTmiydSmhTSrFo0SLs37cPN48eDaPRiEW//QaL1QKDwYAePXpWv36VsV5MD1hwjYo33XiDY90f89xPvPSF7fuPHoNAaZ3sIZXvgMGA8uJSrF+xA8WlbrRJbIGRw/uCcQ4mCoDGwUwSRg7oiD/WZWD3pn1IaNMUWoXvtAmc1xLO2A2wHtcuNFWFosrI3J+BnZtXw+YMQ4/+oyAFvUUht3Pt0nv1GjN3WTF2bFqJhNZpcEXGXNVZ0eeDkNCvunnn5mQXrvxjkfLxx++HFxQU0DtGdKfjbukHp8umx6dP9VYTYFOBEwFZP0+XmEJwfiKfei0gCsjPLcIn037D35++A2ppBRirLmg4ACIKKMgtxKatuzFwaG/AUwFIBBAU7D3mwtjZXWBiKioCAho6vRjX9RA2ZoThxUAixIkcskZAVgPPrc/Ai3/egECRuU4s/dOBcw7CGLwVPnw3byVSk5uiXVoitHJv7YQH1RvfcFXVqZVdVv7Qk/+Vv529nBgkkTgcDjCBkaZNm7KXJk1CSkr1HI5du3apd/35z5rdZvY1bdxY3rVnn8nn85PExJYBr8dHvP4APZyZKSW0SkDbtimi3WbDoUOHkJeXh7i4OLz++usALn6YYPum1YH33nlJjnSYLC+/PB5yYVmtGAErdS9CAEFAdlYuVq7bCqNBRMfU1ggLd4JxDiqwau+AqmlgdguWL96EDdv2Y8zwHohpFAHul69JJWD6an1iztgNsB7XNihjkBhD88T2aNoiGUUFOfh19v9ACEda90HHu0PyoA/4HBSB0IvsrXCjtLgArsiYeurf06Cqtb937z7v559+HPh96RIjlyvCosJseOmhm0hKUmOIkgAhaPGczr+/rdCBAZN7g3cGFFA498jY/+gCCFw7PyWAcyiqpgv9GtgTGieAWcaazWFIf70fYjr74LaIKB4rQm0YHMh+F47NMuG5fhl4NiMDL7+XBPYAoHoBjnOzwmsLQggUWYGpQRhMBgl79ucgJbEJKKPgGj/3IQT7LRFK9ZJGt5e88eSN0qvP34KvvvoZKYnNkJjQHMs3HPI9/MC9JDuviBiNpkrOZKLJ5OOXx0rJSXEC44CiqgQAQuWFussfZMHS7dhzMEs5kh/wtWzW0tevd0f/78vWmPqlpzsXLV5ML5YCEFq7TeNbMZPRrBzNKQQE4ZzDiZXvgMCgKTJ27DyAjL2ZaBoXg+v6d4MoCWCU6flDnFfSXYfAKIVa5kH3fh1Q6q7A4hXbcMfNfYNhlIuylC5b1CsA9TgjCCEQRBFRDeIw9IY/Q5ED2LrxD6xcMgdxzRLQqfugKr+u1mnyjOcEAK+3Ag5XRPDDuh/7lY5QvPfjjz8smzJlimQzEsPA7knG7yaPI9ERYaAEkCQRoEHBe5aEv4BCoXShKBsvAARwHxKQ/PogbH3yFxhqmxVACLisIL+wDI0bRgY5/s92DAANgAh4BzNkPmiGqhKgKvN4ErCOuTBpThKe7pKByYWb8ebfEtAlrggje2cDZSIYvfDOS4FRKEVu3Hx7f3z68WysXLcLPfqlQSstP8nLUWOEBCDnet6EyYCmsdGgFHBZKUaktzAO6nY/OAcqKrwwmyRQRgFOYDJJwUxZDgmh8FbVmAfBTUNSoWpc4JxbKKUWgOC6jn0xYkKGd+7cuaYRI0aQi+kFUFQVPp9PDXdYzr0HBCEggoDS4lKs35yBsrJyJLVshhuHp4NwDSwUNuFnrsxglADlHgwd2gXTZyzDL4s2YvCI7tCK3bV/jlcB6hWAetQYTBDABAFp3QYitUs/ZB7YjVnT3ofV4UKnnoPhcEac/SRBlbu4KA+H9m5Hj/4jAVx9CXrng1B4RVXVsj/dMUYMlGfb/vfGXaRli0YQCNFZ1UiQ0lPjNc5o5gCYyPVuNwDQAtjzkBWp7wzCjkd/qUzoOycQ3cV6LKcQZW6PrhDUUC4TAhBJL/sLGrPVB9sKWH+9C6/MTsLbQ7Zif+o8cM5gYBqg0WrEQBcUXAMTBdgsJmTlFIGUe8AMArh8np4TBFVmbwApiY2xbO1OJDVvBGe4HSaTAQCB2XxCgrbGdfakyqNPPiOhBIL+PpHQbxgIXnt8mHnis6/4hg8fbrwYCkDwGnz/gUNK5qHD5gl3DAB8gRpViOhKrYZ9B45gy/Y9CHc50bFtIqx2CwjnukIEck7NeVRVAzMZYbWaUFrh0cdyDQt/AKdm2KxHPc4ESikEQUR8yzYYcet96NxzMDas/A0/Tnsf2zb8ccZjQ6+rEgjA562AIEjQVBX1LgAdIXdnwO8vuW3MKNEhlps+e+M+kpwSD4Mk6MKfB4X+OWRUcwBtI0rg3BwAzaxyXAvgaIIJm/JctXsCGodgNKBDcjxy8ov1rmk1HI+BaDDlq6D5CLZxq/IDoicGIgnYONCFOYsbQAr3XZIGQYwyoNiNm6/riqgIB16a/AP+PWW2fr+SeF4VMoQQqLKCRs0bYt3mfcjOL9FzBbQqz7jqX03Acdwi5sf/3y6pMWKcxPDGG68V1XrA5w55356MQo/Xwxo3cHEoypmVJsZQVl6BxUvXYubcJfD5/Bh5fR/06pYKh8MKFurvcbo8lzOAMgqUluO69FQQAEuXbgGxmXGxOAouR9QrAPWoPQgBZQx2ZwTSh4zBiFsnwuJwYc53H+PnH/+LwrxjAE7Y1wmBosgoKsxFbNNWleepB6BpGieEYPeunYV9+/Q0NY8RTG89fxdcEQ6drrcGBDSnAwEgUY5tjy5E47e8wCFe+QUV+HkT53BwaDU8CSMcxCegXctCLB24BMIHGgyFZ6CLpcGGP5xUVg1cTISWp8EgonfnJDzz1O1on9gUvyzdgsLcYpDzVQIoAQIy7rl9AFZv3IOSglKctcdwbcA5Zkx5hHz91WfOb76ZWlz3F6h2MQBAeVkJdm5Zbkpp3QJhYQ4cPpgFKp4wX5SCc2DvgSzMnL0Ya9bvQHJSc4walo7WCc0gMAbGSOU91BahvgDEaQUlFLkFJYB2ebalvlioDwHUo05AKAUDRXyLZDRr3hoV5W6sX/GLLuibJSC1U18Igl7uV1pcgMP7d2LQiLG1pv692qAoCgRBIF988Zn75Zdfsn/yyp/Ffr3bgWhaJVd/XcAiKtj64EI0mzwU7kQBAjTIKwmEtPPQADQOWdFgNRtPv0FzAExDqUfEAwtSUZ41DDeG78HkW9fgZ6zA4H/0QFi8AlLG4Quj8NwiANHHN+bLZYsWBAa1wod+w3rgw8nTsX1PJvo0igACtaP15UF39rGsfPznuyWYcPsAOMMddfrMq4IJIpbPfJEOuP1V23ff/SBPmDBB7NChAxRFwapVq/DT/PnYlZEBURQrmTMVRS/rNBqNkGUZgUAAFosFkZGReOqpp9CuXbtTVPAQAHAvXzwzI+vw3s6fT3lSO7b7MN22az+atGoGLssglCK/oBgbNmfAHwigZXxj3HB97+oVL5TWKSkppQQo82BoenvMWbgea1dsR+ceKdDcFdfkPlSvANSjzkEIhdXmQJ/BowEARzP3Yf6M/0AQRHTtPRQgx2ucK6k7r2GoqsoFQSB79+zO/uLTj8Pmf/aImJDSHPD6UOeijwM2SUb2A3OxIlfP2ZBSNbQLL6n9OSmBQRRQVuEF/GchypGB8uYMWU8RfPy/eKjfCnj/pjUojJsLRjgEg4y1WZF45It28KsUGieQBI6UtFLAc+b2uxcLhADw+tCtQyvk5JegNLcIDpetxvwHIaiaBmYy4LffNmLd1r148t4RiIwJ189zoQbPOexWE1bPekH4/pcMz5efTdbeyMunmqrRFs0a4rr0juydp66HXwE4YX5ZYwrnRJVVonBCuaIyRVFVWu71y3YjP7Z69VJT09gY2REe3QBANI5nAlcc2L1h9451v3X6/K0HNHi8VDKIOhNgIIBtO/dj975MNGwQgZ7d2sNiNgLBktQLaZGHQi7mhhFglOJYbjEg0ItIfH55oRoPwPTp0y/lWOpRj3rUox71qMdFwOjRo+tzAOpRj3rUox71uBbx/yAyuGM+G2u6AAAAAElFTkSuQmCC\"/></center>\n",
                "</div>"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "ead0d413",
            "metadata": {},
            "source": [
                "The full list of available Open data products can be found [here](https://www.ecmwf.int/en/forecasts/datasets/open-data), and more information can be found in the [User documentation](https://confluence.ecmwf.int/display/DAC/ECMWF+open+data%3A+real-time+forecasts+from+IFS+and+AIFS).  \n",
                "\n",
                "Access to ECMWF Open data is governed by the Creative Commons CC-BY-4.0 licence and associated [Terms of Use](https://apps.ecmwf.int/datasets/licences/general/).  \n",
                "\n",
                "<sub> In applying this licence, ECMWF does not waive the privileges and immunities granted to it by virtue of its status as an intergovernmental organisation nor does it submit to any jurisdiction </sub>\n",
                "\n",
                "To find out how to obtain the access to the full forecast dataset at higher resolution please visit our [Access page](https://www.ecmwf.int/en/forecasts/accessing-forecasts)."
            ]
        },
        {
            "cell_type": "markdown",
            "id": "e0ed2744",
            "metadata": {},
            "source": [
                "## Retrieve Data\n",
                "This product takes in input 1 parameter:\n",
                "\n",
                "* [2 metre temperature](https://codes.ecmwf.int/grib/param-db/167)"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "96f51623-95e0-41aa-b9d5-a80d3c3fde06",
            "metadata": {},
            "source": [
                "In this example, we will use: \n",
                "- [**ecmwf.opendata**](https://github.com/ecmwf/ecmwf-opendata) Client to download the data\n",
                "- [**Metview**](https://metview.readthedocs.io/en/latest/) library to read, process and plot the data "
            ]
        },
        {
            "cell_type": "markdown",
            "id": "5d84c0eb-32dc-4bb7-83f8-42d9c9a3e448",
            "metadata": {},
            "source": [
                "First we need to install them in the current Jupyter kernel:  \n",
                "<div class=\"alert alert-block alert-info\">\n",
                "<b>Note:</b> If you are running the notebook on MyBinder or already have the libraries installed, go directly to importing the libraries.\n",
                "</div>\n",
                "<div class=\"alert alert-block alert-info\">\n",
                "<b>Note:</b> If you don't have these libraries installed, click on three dots below, uncomment the code and run the next cell.\n",
                "</div>"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 1,
            "id": "5c1b0e50-36d1-496e-bf1c-5577844cc9fd",
            "metadata": {
                "jupyter": {
                    "source_hidden": true
                },
                "tags": [
                    "install"
                ]
            },
            "outputs": [],
            "source": [
                "#!pip install ecmwf-opendata metview metview-python"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 1,
            "id": "4395a25e",
            "metadata": {
                "tags": [
                    "import"
                ]
            },
            "outputs": [],
            "source": [
                "import metview as mv\n",
                "from ecmwf.opendata import Client"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 2,
            "id": "7c429eff",
            "metadata": {},
            "outputs": [],
            "source": [
                "client = Client(\"ecmwf\", beta=False)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 3,
            "id": "db6fd2e8",
            "metadata": {
                "editable": true,
                "slideshow": {
                    "slide_type": ""
                },
                "tags": []
            },
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "'medium-2t-probability.grib'"
                        ]
                    },
                    "execution_count": 3,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "parameters = ['2t']\n",
                "filename = 'medium-2t-probability.grib'\n",
                "filename"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "52985b87",
            "metadata": {},
            "source": [
                "To calculate the probability of 2m Temperature < 0℃ , we need to retrieve all the ensemble members at the given time.  \n",
                "We need to put both **cf** and **pf** as type **type** to download all 50 ensemble members as well as control forecast."
            ]
        },
        {
            "cell_type": "markdown",
            "id": "5e9a3248-51d5-4983-95ab-e529b3f1f1f4",
            "metadata": {},
            "source": [
                "Setting date to 0 will download today's data. \n",
                "Removing date and time altogether from the request will download the latest data.  \n",
                "Try commenting out date and time to download latest forecast!"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 4,
            "id": "51a980a6",
            "metadata": {
                "editable": true,
                "slideshow": {
                    "slide_type": ""
                },
                "tags": [
                    "download"
                ]
            },
            "outputs": [
                {
                    "data": {
                        "application/vnd.jupyter.widget-view+json": {
                            "model_id": "",
                            "version_major": 2,
                            "version_minor": 0
                        },
                        "text/plain": [
                            "20250108000000-12h-enfo-ef.grib2:   0%|          | 0.00/32.0M [00:00<?, ?B/s]"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/plain": [
                            "<ecmwf.opendata.client.Result at 0x11374b390>"
                        ]
                    },
                    "execution_count": 4,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "client.retrieve(\n",
                "    date=0,\n",
                "    time=0,\n",
                "    step=12,\n",
                "    stream=\"enfo\",\n",
                "    type=['cf', 'pf'],\n",
                "    levtype=\"sfc\",\n",
                "    param=parameters,\n",
                "    target=filename\n",
                ")"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "65f5dd51",
            "metadata": {},
            "source": [
                "## Reading and processing the data\n",
                "Now we can use **Metview's read() function** to read the file."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 5,
            "id": "5e7ceda3",
            "metadata": {},
            "outputs": [],
            "source": [
                "data = mv.read(filename)"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "cfc536bc",
            "metadata": {},
            "source": [
                "The **describe()** function will give us the overview of the dataset.  "
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 6,
            "id": "61e65089",
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": [
                            "  \n",
                            "                <table>\n",
                            "                <tr><th>parameter</th><th>typeOfLevel</th><th>level</th><th>date</th><th>time</th><th>step</th><th>number</th><th>paramId</th><th>class</th><th>stream</th><th>type</th><th>experimentVersionNumber</th></tr>\n",
                            "                <tr><th style='text-align: right;'>2t</th><td style='text-align: left;'>heightAboveGround</td><td style='text-align: left;'>2</td><td style='text-align: left;'>20250108</td><td style='text-align: left;'>0</td><td style='text-align: left;'>12</td><td style='text-align: left;'>0,1,...</td><td style='text-align: left;'>167</td><td style='text-align: left;'>od</td><td style='text-align: left;'>enfo</td><td style='text-align: left;'>cf,pf</td><td style='text-align: left;'>0001</td></tr>\n",
                            "                </table>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "execution_count": 6,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "data.describe()"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "6c03429c",
            "metadata": {},
            "source": [
                "We can use **ls()** function to list all the fields in the file we downloaded."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 7,
            "id": "f955b02e",
            "metadata": {
                "scrolled": true,
                "tags": []
            },
            "outputs": [
                {
                    "data": {
                        "text/html": [
                            "<div>\n",
                            "<style scoped>\n",
                            "    .dataframe tbody tr th:only-of-type {\n",
                            "        vertical-align: middle;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe tbody tr th {\n",
                            "        vertical-align: top;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe thead th {\n",
                            "        text-align: right;\n",
                            "    }\n",
                            "</style>\n",
                            "<table border=\"1\" class=\"dataframe\">\n",
                            "  <thead>\n",
                            "    <tr style=\"text-align: center;\">\n",
                            "      <th></th>\n",
                            "      <th>centre</th>\n",
                            "      <th>shortName</th>\n",
                            "      <th>typeOfLevel</th>\n",
                            "      <th>level</th>\n",
                            "      <th>dataDate</th>\n",
                            "      <th>dataTime</th>\n",
                            "      <th>stepRange</th>\n",
                            "      <th>dataType</th>\n",
                            "      <th>number</th>\n",
                            "      <th>gridType</th>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>Message</th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th>0</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>31</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>1</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>40</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>2</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>5</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>3</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>13</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>4</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>22</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>5</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>32</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>6</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>41</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>7</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>23</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>8</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>14</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>9</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>50</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>10</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>15</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>11</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>33</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>12</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>42</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>13</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>24</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>14</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>6</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>15</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>25</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>16</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>7</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>17</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>16</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>18</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>34</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>19</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>43</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>20</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>35</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>21</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>26</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>22</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>17</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>23</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>8</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>24</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>44</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>25</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>9</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>26</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>45</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>27</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>27</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>28</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>18</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>29</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>36</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>30</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>37</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>31</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>1</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>32</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>19</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>33</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>28</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>34</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>cf</td>\n",
                            "      <td>0</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>35</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>46</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>36</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>47</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>37</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>38</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>38</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>2</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>39</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>10</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>40</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>29</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>41</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>20</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>42</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>48</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>43</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>3</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>44</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>39</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>45</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>11</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>46</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>21</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>47</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>12</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>48</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>4</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>49</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>30</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>50</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>2t</td>\n",
                            "      <td>heightAboveGround</td>\n",
                            "      <td>2</td>\n",
                            "      <td>20250108</td>\n",
                            "      <td>0</td>\n",
                            "      <td>12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>49</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "        centre shortName    typeOfLevel      level  dataDate  dataTime  \\\n",
                            "Message                                                                  \n",
                            "0        ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "1        ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "2        ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "3        ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "4        ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "5        ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "6        ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "7        ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "8        ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "9        ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "10       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "11       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "12       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "13       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "14       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "15       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "16       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "17       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "18       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "19       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "20       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "21       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "22       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "23       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "24       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "25       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "26       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "27       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "28       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "29       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "30       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "31       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "32       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "33       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "34       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "35       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "36       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "37       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "38       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "39       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "40       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "41       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "42       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "43       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "44       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "45       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "46       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "47       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "48       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "49       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "50       ecmf      2t     heightAboveGround    2    20250108      0      \n",
                            "\n",
                            "        stepRange dataType number   gridType   \n",
                            "Message                                        \n",
                            "0           12       pf      31    regular_ll  \n",
                            "1           12       pf      40    regular_ll  \n",
                            "2           12       pf       5    regular_ll  \n",
                            "3           12       pf      13    regular_ll  \n",
                            "4           12       pf      22    regular_ll  \n",
                            "5           12       pf      32    regular_ll  \n",
                            "6           12       pf      41    regular_ll  \n",
                            "7           12       pf      23    regular_ll  \n",
                            "8           12       pf      14    regular_ll  \n",
                            "9           12       pf      50    regular_ll  \n",
                            "10          12       pf      15    regular_ll  \n",
                            "11          12       pf      33    regular_ll  \n",
                            "12          12       pf      42    regular_ll  \n",
                            "13          12       pf      24    regular_ll  \n",
                            "14          12       pf       6    regular_ll  \n",
                            "15          12       pf      25    regular_ll  \n",
                            "16          12       pf       7    regular_ll  \n",
                            "17          12       pf      16    regular_ll  \n",
                            "18          12       pf      34    regular_ll  \n",
                            "19          12       pf      43    regular_ll  \n",
                            "20          12       pf      35    regular_ll  \n",
                            "21          12       pf      26    regular_ll  \n",
                            "22          12       pf      17    regular_ll  \n",
                            "23          12       pf       8    regular_ll  \n",
                            "24          12       pf      44    regular_ll  \n",
                            "25          12       pf       9    regular_ll  \n",
                            "26          12       pf      45    regular_ll  \n",
                            "27          12       pf      27    regular_ll  \n",
                            "28          12       pf      18    regular_ll  \n",
                            "29          12       pf      36    regular_ll  \n",
                            "30          12       pf      37    regular_ll  \n",
                            "31          12       pf       1    regular_ll  \n",
                            "32          12       pf      19    regular_ll  \n",
                            "33          12       pf      28    regular_ll  \n",
                            "34          12       cf       0    regular_ll  \n",
                            "35          12       pf      46    regular_ll  \n",
                            "36          12       pf      47    regular_ll  \n",
                            "37          12       pf      38    regular_ll  \n",
                            "38          12       pf       2    regular_ll  \n",
                            "39          12       pf      10    regular_ll  \n",
                            "40          12       pf      29    regular_ll  \n",
                            "41          12       pf      20    regular_ll  \n",
                            "42          12       pf      48    regular_ll  \n",
                            "43          12       pf       3    regular_ll  \n",
                            "44          12       pf      39    regular_ll  \n",
                            "45          12       pf      11    regular_ll  \n",
                            "46          12       pf      21    regular_ll  \n",
                            "47          12       pf      12    regular_ll  \n",
                            "48          12       pf       4    regular_ll  \n",
                            "49          12       pf      30    regular_ll  \n",
                            "50          12       pf      49    regular_ll  "
                        ]
                    },
                    "execution_count": 7,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "data.ls()"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "03234d2c",
            "metadata": {},
            "source": [
                "First we convert to Celsius and then make a mask of temperature <0℃. (Of course we could have made a mask data<273.15 as well)\n"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 8,
            "id": "81d6531c",
            "metadata": {},
            "outputs": [],
            "source": [
                "t_mask = (data - 273.15) < 0"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "0607e807",
            "metadata": {},
            "source": [
                "Now we can calculate the probability:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 9,
            "id": "2a6df14f",
            "metadata": {},
            "outputs": [],
            "source": [
                "prob_t = (mv.mean(t_mask) * 100)"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "d48c59e5",
            "metadata": {},
            "source": [
                "## Plotting the data\n",
                "And finally, we can plot the data on the map. "
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 10,
            "id": "03f7aa46",
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<IPython.core.display.Image object>"
                        ]
                    },
                    "execution_count": 10,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "# define coastlines\n",
                "coast = mv.mcoast(\n",
                "    map_coastline_colour=\"charcoal\",\n",
                "    map_coastline_resolution=\"medium\",\n",
                "    map_coastline_land_shade=\"on\",\n",
                "    map_coastline_land_shade_colour=\"cream\",\n",
                "    map_coastline_sea_shade=\"off\",\n",
                "    map_boundaries=\"on\",\n",
                "    map_boundaries_colour= \"charcoal\",\n",
                "    map_boundaries_thickness = 1,\n",
                "    map_disputed_boundaries = \"off\",\n",
                "    map_grid_colour=\"tan\",\n",
                "    map_label_height=0.35,\n",
                ")\n",
                "\n",
                "# define view\n",
                "view = mv.geoview(\n",
                "    area_mode=\"name\",\n",
                "    area_name=\"europe\",\n",
                "    coastlines=coast\n",
                ")\n",
                "\n",
                "#define styles\n",
                "prob_shade = mv.mcont(legend= \"on\",\n",
                "                contour_automatics_settings = \"style_name\",\n",
                "                contour_style_name = \"sh_blup_f0t100lst\")\n",
                "\n",
                "title = mv.mtext(\n",
                "    text_lines=[\"Probabilities: 2m temperature < 0 ℃\", \n",
                "           \"START TIME: <grib_info key='base-date' format='%a %d %B %Y %H'/> \",\n",
                "           \"VALID TIME: <grib_info key='valid-date' format='%a %d %B %Y %H'/>, STEP: <grib_info key='step' />\"],\n",
                "    text_font_size=0.4,\n",
                "    text_colour         = 'charcoal')\n",
                "\n",
                "ecmwf_text = mv.mtext(    \n",
                "    text_lines          = [\"© European Centre for Medium-Range Weather Forecasts (ECMWF)\",\n",
                "                           \"Source: www.ecmwf.int Licence: CC-BY-4.0 and ECMWF Terms of Use\",\n",
                "                            \"https://apps.ecmwf.int/datasets/licences/general/\"],\n",
                "    text_justification  = 'center',\n",
                "    text_font_size      = 0.3,\n",
                "    text_mode           = \"positional\",\n",
                "    text_box_x_position = 6.,\n",
                "    text_box_y_position = -0.2,\n",
                "    text_box_x_length   = 8,\n",
                "    text_box_y_length   = 2,\n",
                "    text_colour         = 'charcoal')\n",
                "\n",
                "# generate plot\n",
                "mv.setoutput('jupyter', plot_widget=False)\n",
                "mv.plot(view, prob_t, prob_shade, title, ecmwf_text)"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "0813538b-be17-49c8-a6b0-c70634d6114d",
            "metadata": {
                "editable": true,
                "slideshow": {
                    "slide_type": ""
                },
                "tags": []
            },
            "source": [
                "To generate the png file you can run the following cell."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 11,
            "id": "961a379f-c8cd-4313-9169-48692f483c39",
            "metadata": {
                "editable": true,
                "slideshow": {
                    "slide_type": ""
                },
                "tags": [
                    "png"
                ]
            },
            "outputs": [],
            "source": [
                "png = mv.png_output(\n",
                "      output_name = \"medium-2t-probability\",   # specify relative or full path\n",
                "      output_title = \"medium-2t-probability\",    # title used by a viewer\n",
                "      output_width = 1000,                 # set width in pixels\n",
                ")\n",
                "mv.setoutput(png)\n",
                "mv.plot(view, prob_t, prob_shade, title, ecmwf_text)"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "ea69aa8f-33ac-4220-a3fe-07db32e164a4",
            "metadata": {},
            "source": [
                "Note that plot produced using open data dataset will slightly differ from one from Open Charts. This is due to different resolution of the data.  \n",
                "Open data is on 0.25x0.25 resolution, while high resolution data is 0.1x0.1 grid."
            ]
        }
    ],
    "metadata": {
        "author": "Milana Vuckovic",
        "content_type": "Software & code",
        "data_access": "ecmwf-opendata",
        "kernelspec": {
            "display_name": "Python 3 (ipykernel)",
            "language": "python",
            "name": "python3"
        },
        "language_info": {
            "codemirror_mode": {
                "name": "ipython",
                "version": 3
            },
            "file_extension": ".py",
            "mimetype": "text/x-python",
            "name": "python",
            "nbconvert_exporter": "python",
            "pygments_lexer": "ipython3",
            "version": "3.11.9"
        }
    },
    "nbformat": 4,
    "nbformat_minor": 5
}