{ "cells": [ { "outputs": [], "cell_type": "markdown", "source": [ "# **7.** Example\n", "\n", "\n", "This is an example generated with Literate based on this\n", "source file: [`example.jl`](https://github.com/fredrikekre/Literate.jl/blob/master/examples/example.jl).\n", "You are seeing the\n", "generated notebook output. The corresponding markdown (HTML) output\n", "can be found here: [`example.html`](https://fredrikekre.github.io/Literate.jl/dev/generated/example.html),\n", "and the plain script output can be found here: [`example.jl`](./example.jl)." ], "metadata": {} }, { "outputs": [], "cell_type": "markdown", "source": [ "It is recommended to have the [source file](https://github.com/fredrikekre/Literate.jl/blob/master/examples/example.jl)\n", "available when reading this, to better understand how the syntax in the source file\n", "corresponds to the output you are seeing." ], "metadata": {} }, { "outputs": [], "cell_type": "markdown", "source": [ "### Basic syntax\n", "The basic syntax for Literate is simple, lines starting with `# ` is interpreted\n", "as markdown, and all the other lines are interpreted as code. Here is some code:" ], "metadata": {} }, { "outputs": [ { "output_type": "execute_result", "data": { "text/plain": "2//5" }, "metadata": {}, "execution_count": 1 } ], "cell_type": "code", "source": [ "x = 1//3\n", "y = 2//5" ], "metadata": {}, "execution_count": 1 }, { "outputs": [], "cell_type": "markdown", "source": [ "In markdown sections we can use markdown syntax. For example, we can\n", "write *text in italic font*, **text in bold font** and use\n", "[links](https://www.youtube.com/watch?v=dQw4w9WgXcQ)." ], "metadata": {} }, { "outputs": [], "cell_type": "markdown", "source": [ "It is possible to filter out lines depending on the output using the\n", "`#md`, `#nb`, `#jl` and `#src` tags (see Filtering Lines):\n", "- This line starts with `#nb` and is thus only visible in the notebook output." ], "metadata": {} }, { "outputs": [], "cell_type": "markdown", "source": [ "The source file is parsed in chunks of markdown and code. Starting a line\n", "with `#-` manually inserts a chunk break. For example, if we want to\n", "display the output of the following operations we may insert `#-` in\n", "between. These two code blocks will now end up in different\n", "`@example`-blocks in the markdown output, and two different notebook cells\n", "in the notebook output." ], "metadata": {} }, { "outputs": [ { "output_type": "execute_result", "data": { "text/plain": "11//15" }, "metadata": {}, "execution_count": 2 } ], "cell_type": "code", "source": [ "x + y" ], "metadata": {}, "execution_count": 2 }, { "outputs": [ { "output_type": "execute_result", "data": { "text/plain": "2//15" }, "metadata": {}, "execution_count": 3 } ], "cell_type": "code", "source": [ "x * y" ], "metadata": {}, "execution_count": 3 }, { "outputs": [], "cell_type": "markdown", "source": [ "### Output Capturing\n", "Code chunks are by default placed in Documenter `@example` blocks in the generated\n", "markdown. This means that the output will be captured in a block when Documenter is\n", "building the docs. In notebooks the output is captured in output cells, if the\n", "`execute` keyword argument is set to true. Output to `stdout`/`stderr` is also\n", "captured." ], "metadata": {} }, { "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "This string is printed to stdout.\n" ] }, { "output_type": "execute_result", "data": { "text/plain": "4-element Array{Int64,1}:\n 1\n 2\n 3\n 4" }, "metadata": {}, "execution_count": 4 } ], "cell_type": "code", "source": [ "function foo()\n", " println(\"This string is printed to stdout.\")\n", " return [1, 2, 3, 4]\n", "end\n", "\n", "foo()" ], "metadata": {}, "execution_count": 4 }, { "outputs": [], "cell_type": "markdown", "source": [ "Both Documenter's `@example` block and notebooks can display images. Here is an example\n", "where we generate a simple plot using the\n", "[Plots.jl](https://github.com/JuliaPlots/Plots.jl) package" ], "metadata": {} }, { "outputs": [ { "output_type": "execute_result", "data": { "text/plain": "Plot{Plots.GRBackend() n=2}", "image/png": 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zpMYr7qnj3p6g1hjuZFh875Xc6+9M1dVyb7gzAa/wR+CdCXpPQrsmlrPPQyTNaiClMSwmQgDI3XvH4nsbdu5f9NJkBGDXUJNHWt3kxVGr0EsQdWZKHutLYLv0auTuvWPx5GsbHTL5i17tsw3JN8sv2SDA3bXcv/ZZXpEgVJYibW/m7jmYqgs6rrst1n16o2ea/mufdqR2AzPV1oYAfLbBktelMYwmwpzGXWowsKHRo6EYHPNpqSrxdD5dz/2y16ryEmTx9HHHjn1xjtiOB8FTzRcUxfra4v8RlcJTfdpfbE7lLvhP13O/tBJhokS73hOr6vnC4lRdkMtx2ht3Rdre2NBP/apP2+hMtbX5dD35db9mHUiRpjCaCIHjHTtvjZx5Pf6feGZIu6uSi+fEpfj5+Cbu5TEtbG0oTIjIqeMpLPx1HLsOLJ7egFcc99EqJ9lSmMpEeEcFGQ5T65SSxFg8dSx3d4q9Inf3gchGvKJ/ng6F6R0VqfSKLYWkIpcctzYUpiesJkIAx679Gwp5v+7XPpnSwh8Aiuxwi4c8P2KV/xtGmfarM5P2+mTnol1D7nX7I21vgBbvyu2v+7VPbk6xk/MEPr6J+02/FfI2DJWisfOnHNtvTu1lc5pvlIa645fX/aaffqyO41M9LO++zdxvBqxYEReqqm7btg3biiuwmwjtm1u1+VCc57IGY/D2BP1Qdep/nU9s4n4zYIW8DRM5++ec7Ten/FBNvqhMKPLGeuPqjqoUnhnS7t2U+umgn9jE/ZsV8jZOtOs9W922OI8ejB8i2uzbdkfOvRnn5/9tQLt3U+pjxb2byDODVnd0fb7//e/v27evu7sb25ArsJsIgRDH9n2Rtric+3fD2qEKzmnA5NTDtdwrY9pias57ySIibW84dtxixJUdO2+NnI1rQejPflrlJEYMT7/NS4YX6FDYinkbI3LWKK/I3RGvVwyF6fACPVCeeq/YlE8qncQ6w/kavvSlL/3DP/yD/t9f/vKXn3jiiR07djz88MO4Vl0DW0O3r8Gx85bZF36Wf+gT637ymUFqROEPAMV22FtC/jCmHalluGhgDHUuqEyM2rfsNOLijh37Jv/xv7vu/eq602qeGdLuMeZb4wkcruF+O0i/1modRhEvVFWi508U3vNlIy6e03x96KnvadHFdafV/HaQfqQ69X1RnXtqud8OaQfK2ZrM/mSvZlpb67MN5Jqn7XvvvffRRx998MEHJUl6+umnT506VV1dbY4x8cN0IrTVb1cmx9W54No7siMKHPNpP9mfUp3MEo7Ucs8O0SNJnXyQXUTb385pvp7whniXUFrJOfKkkZ51d2Q/N0Sfe59R5ctHa7nvnFO/1mqVR/ESu3BW9Nby+W4jLk7sDtvm1ljXCceu/Wt/8tkh7cHthnlFHbn7Ze0fbjLo8gmyu4Q4jYqO19K87LSDgwcPfuYznwkEAidOnGhtbWUwCwLjiZDwQk7j7mjHO86bP7jGx/4wpu0pIW67UWbcXUsePaOqlDeoisw8Iu1vOa9P0T76lchpvSly7q21E+G5ICUArW6jvrNDFeQzr9FgDIoMc7wMI9r+Vk6LgSnC0XpTpP2ttRNhKAanpumdFUYlwlY3IQBtQbqjiKFg0eQiTUmcxpMkoigePnz4ueeeO378+Gc/+1ksM9aG9Xo2p/WmSPs7a3/md8P0cI2Bv0htHvE6yDsTVus/LqgUjfW127ftNu4Wjtabou1vr/2Z3w3Tj9QY+MfvEOBgBfeipSiOm0jnu45WAxNhTsuN0a731p47+uKodqA8qeMm1uVwLfmPYStWXMW999775JNP/v73v//4xz+ObcvKMJ8It+2V+tqoLK32AQrwwoixIQ8APlJDXrBCXnxEe87Yahs5R55xt7DVblPnZ9TQxBqfeX5E+4iR5REAfLiavDBihby4kMcHCMcLHgPbYnxhsVBcLg12rfGZ54fpR6qNjRUfruasDVfXcOjQoTNnztx+++0ulwvblpVhPRFyuXlixeY15PJnpmmeCA1Jj5Bfmw9Vc89bIS8+op3v5jTfYOw9CMlp2rPGqOXpGHSE6H6v0V5BXhq15PJxYYZXAOQ0X7+GV6gUXh7TPmRwItzvJR0hOh0z9CZpht1ub2lpuaYvSpM4dDblsJ4IQXfurlWd+8URarRnA8BNZWQkTMcXGfrmmCV6/oSj6Xqj75LTtJZXvDyq3V7O2Q3W7lU6SXWe1TOPi2jXiRwzvOKGNbzinQlamUsqncaGCzsPt5dzL1szii8hy/KZM2f6+vo++MG1pB64pEMibNq7xjm9vx/VPlBl+G/BE7izkntp1Ap56yD7hwkQQztgOjmNu2O951ZbEPr9KE3+cOZ4+EAV+b0V8tZDiy7IY332hhSPGVqOrWarOjutzk6v+O5Lo9oHjS+aAeCD1eRFq4F0id/97nfve9/7/vEf/9FuZ1dXlgaJUKzYTKOLyrR/+VtzMpydNmRv7HI+UEWsRLgusfMn7E17TbgR5ywQPNXSQOfytyjAy6OaWYnQKo/WJ9Zz1rapmYg2w+/EcTlbd0W7T6345ktj9P3GF80A8P5K8ocxzXILnY997GMTExP33nsvtiFrkQaJEAixN+6KreTcr45rN3tIjim7V++qJK+MaZZ3r020+1RO4x5z7pWzbc+KrYK2IC20kToDBsos52YP6Z61FoTWIdp9MqfRQBXxUuzb9sTOn1j+ejAG52doqo6lXJu6fFJoI2enrWCRNqRDIgTI2bp7xSrv5VF6V6VJv0Klk3hzyUnr7M3VobIU6+8woQOmY2/cvWIifHmU3lVp0q4pGwe3esir41Z3dC1i50/Zt5lYHnWfhmVCjD+Oa7d5ic2sgHdXJXl5zIoVaUN6JEJ7467YhbPLT2R9ZZzeaVbIA/2hcNxy7lWRBjvF8jou18CNE0ux1TaqU77lZw78YUwz1yu4V6yQtzrKtI8qkuipMed2fGExl+eSx/quef0PYwbuo1/OnZXklTGrPEob0iMR8gVFfEGRNNa79MXhMJ2VTJ3gcKiCs5x7DaLdp3Mad5l2O8ILtvrW2IWzS1+MqfD2BL293DzHPlRJrES4BrHu0/at1607GDaF5Gy9Ltpz5poX/zhmatF8ezn39gSNxntcWNbx9NNPt7a2ulyu/fv39/T0YJuTJokQ9IfC7tNLX3l1nN5RwZk5OOhAOXlv0nLuVYldOGvfYl4iBICcrbuiPVd5xVsTtMVNCo2XZVymxU0WFTpondO7CrELZ3O2XGfmHe1bd8Wu9oqBeRpRabNh8/aWU2iDFjd5y9pasxIDAwP333//0aNHfT7f4cOHP//5z2NblEaJsGHnNdvqXx2nd5iiF71Mvgjbi8ibAcu5V0CLLsj+IVudqYdt2rfsvOaJ8I/jWmpPHl8XAnBHBfeqdTT5ilAa622zNxhyDslq2Bu2xwY6qSJffuXVcXqw3NSiGQAOVViLxwArHcPU39//6U9/+oYbbnA4HPfffz8LBxMyPXR7KfaG7cFfPEFV5fKZBq/66CO7zU7kd1SQ13zaHRVsHbPCAlLfOVvtNiKYNeUeAADE8jotElZnpnhXif7Ka+P0f+4x+9s5WEFeG6df2GrybdMA2T9E7A6+qMzMm3KOPLGsWhrutm9u1V95zUdNLo8A4GAF962TKpgkElqLaOe7a2zFTi05zTfkXC2MWvEYpkOHDgGAqqqPPPLIfffdZ45ta5A2ifCicw912ze3AMCFWcoTwyerLef2clacmzViF9pyjDmAcC0IsdfviPW25e69AwAWFDgbpPvKTA955eR/nLJq/xWIXThr32pqX1THvmVH7ELb5UR4zEf/eo/ZRfO+MtIWpAsKGHFg+IbgcvOFkgqT7uXMv+aV1Y5hevnll7/xjW+8//3vf/TRR82xbQ2wv6KNYN+yI9bbpifCYz56wOBJkiuyr4ycZcO5WSPa2+b++F+Zf1/7lp2x3rN6InwzQHcXE0PPFliR+gLCAVyYpVsKGTp8hwVivW2Onbeaf197w8751/4d3v9puFQ0bzZlX+lSHALsKiZvBOj7TBTprIitrslW14R19+XHMFFKv/GNb7z11ltPPfXU1q1MNFLSZo0QAOwNOy4vEx7309tN73XAJed+y1omvBotElanxsUaBJ+2N2yP9Z7T//u4TzNnzNBybi8nx/2WV1wNpbH+dtP2lS7FtrlFGu7WlwmP+3GKZgA4UE5e91mtgmuPYXr99defe+653/3udxUVFeFwOBwOYxuYVonQtrlFGjqvj5d8HemJEAAOlJPjfsu5r0Lq77DVbjPoSPq1ET01WnRRHy953E8PmLhxYikHyslxSy9zNXJgmHPk8YXF5t+ay8kVy6rlkR4AOO4zaQrjcg6Uc69b5dGyY5iOHTvW3d3tdrvzL4FtYFolQi7HKZRWyiMX+uepBlBv+gKhzn4v97oV8q4m1nfOVr8d596E2De3xPrORRQ4M01vNn2BUGe/l/zJCnlXE+s7d3mVznwutwpe9xt+INdq3FxGTk9bG66uPYbpW9/6Fr0aXPMgvRIhANjrt8f62v+E59lgOfdKxPra7fV4Ia++Veprf3eSbneTXKS12y2FRNLoUBj/T5odpL5ziF5h29wa628fClNZQ1u7zRVguzvbD+qyjmFKPfb61ljfuT/56W14iTBPhG0u8t5kVjv3UqgUlf1DtppGLANsm/G9AgBu9Vh9sKuI9bXbEJ8IN7dIA11/Gldv82JGuVu9JMu9wjqGKfXYNjVLg51v+LVbTZkivxq3eqw+2BWkwfNixWYzDtlZBVtlvTozeXp45lbcROglf7a84hLKtA+oJpSUYxnAOQt4V3FvTz96rPhzdksKrGOYUg+f76a5hYWhwRYTpyUt51YveSOQ1c69lFh/u76nBQ2OE+ua1OGuWzyotb/HSoRXkPo70JaNL2Hb3Cr3d+CWR7d4ubcnqGr5BdukWSIEgElP88dIl9njkq7mVg/31gS1zibUkQY6kRMhQNDTtD/WVYTaetlZTMYWadA6mxAAAGIDnfZNyF4hV7dsCnWYOZd/OcV2qHKStqAVLJgm/RLhaWfzTdEuXBvKHFCSQzpnLOcG0DRpqBtxu67OGWfLzdEVTqs3E57ADaXWKNqLSAOdtk3NuDaccTbduNjFYw85uMVL3rC8gm3SLxE+T5pqppETIQDc4rFCHgCA7BvkCos5ZwGuGS+SLRWzA0vnLKOwz0PetHrmAFokrAQDtsrNuGYci3lyOE0NTeCasa/MihWsk2aJMKrCS9EKUV5U54K4lljOrRMb6LBjF/4A8Np0DimplEd71/+okdzi4d7Mbq28jjTQZattBA55Nv2bE1Suao4NILcKrKKZfdIsEZ6cok1FnL2uSRpEfii82UOskAcA0mAXel90bIFGFFrQ0BzD9ooby8jJKSpn/TOhNNRlx/YKWYNTU7S0sRk9VjQUkkWFji/iWmGxFmk2OvqtCXpzGbHnNkmDXY4dtyBa0uwikxE6GYXSHEQr8JEGuvLv+hSuDW9N0Js9nK2oKdL2JtyOaUmBCJvyydkg3VuCvTCFSmygM//gx3FtaAvSunxSWN808/RxXEsIwE1l3LvT3JEqM8ZwaJr2ne98x4QbmUx7e7txF0+3RBig924itpKm2Rd+jmsJR+CGUvL2hHa4Js2eqlOIFp7VIvNiWTWuGXp5ZKtqmn3un3EtAYCby8jbE9mdCCmVhy8gDljQ0b1CrGqQA8NUihEbpqT4Zg95z5REKIri008//frrrxt9owRYPPlaTuNuLq8wsR8vKio6cOBAak26TJolwrcn6Hdu5Gz2Rnm8f+khvSjcVEbenqCHaxBNQCY22GWr3QYEOei/PUG/vZcTir1ANXVmkneVIhpzUxl5ZYw+gL9siobsG+QKi9D1U29P0EMVhIg2sbxOGr2AOPUUAG4qI//XgEl/JkeOHDly5Ig594ofLbrg+9ZnKx/7EfrK8Yqk09PMcJhqlNblE2LLEUrK5bF+XHtu9nBvZyGXen8AACAASURBVPcyoTR03la7DdkGDdoutSJttdukwfO49uhPhLg24CINdtmxvQIA3p6gN5URALDV4XvF9SWkfYZIWbx4LA2et1VvYTMLQnolwncm6Y1lFw221W6ThpCd+4ZScnIqq7fVS0PnbbXIHbCz07ShgOSJAGx4RaOLhCQ6GcW1AhNpuBu9PJqMQjBGGwsvlUfYXpEnwuY8aJ9Jp3ibWqThHnSvWIN0+mLemaA3XjpkhwXnLrKDx0G6snZbPRtLQe9M0htLGfIKAnB9SVYfOCANnrfVIYe8dyfp9SVEnz9lq92GLhwFgL3F2olgOsXb1CINdqF7xRqk0xezLOR149oDADeUkney9RgKOTDM5bvQl4LemaA3XC6ParZKY/360c2I3FhG3pnM0i6YFl1UQhNieR2uGe9MaJeLZqHYS1VVP7oZketL6HtT2Suhkoa70YvmNUibRKhocGaaXn8pEYqeai08qy3M4Vp1Yxl5N1trf2kIv/AHgHeXlEfE7hCKPIpvCNekG8u4rPUKeaTHVlmPvhT07iS9ofRKcLPVNqLXzXuKtJPZ+kSoTPuIYOMLi7ENWZW0+WLaQ7Q2j+SLl/6fELGqQRruwbQJ4IZS8m62PhFKQ/glXigG/kXa5LpSaNtqGtG7ozeUkvemGDh1GwNpqBt92ZgCvDdJbyi92iuGkRPhtgIaiEAoK2eys+AVa5M2ifDdqz0b9CoPOxHuLCI9szSC3IrDQRrusdVsxbXhxBTdfWkpSIcFryjNAZeNXJjNxlQoDfeI2F7RO0sLbKTMceUVFp4IOQK7iuiJqWz0CpmBWLE26ZwIa/BDnp2HZjc5PZ11zk1lSZkYFSvrcc1Yqp/SYaH2B4DrS8l7WdkqYEEyulRMoGOr2SqP9AD2U/ruIi07G0gseMXapE0iPDF5ZYFQx1azVWYg5N2QlSFPHusXPTVEENf/qJGcmLp2hotQXqsEAzQWwTJJR++O4tpgPupciMqSUOTBNePEFN17dazgcvO5PJcyMYplks7uIi0LYwVomjTWL1Y1YNuxFumRCBcV6J2j268+YJN3lQAh6swkllU6e0uyMeRJw90s9DpOTF1bHhFeEMtrpbE+LJN09pZkY3nEiDLwxCS9ftmIO1vNFvQG0p5imoVeIfuHeFcpl5OLbchapEciPD1NW9zEtsxYsXqrNHwBw6IrZGcTTBruRl8KGl+kkkpr85aHPPye+e4S0hakSpbtoZAZKI8UDc4G6e5liVCsaZRGkL2iOpcqlI4vZle4YEFMsC7pkQhPTF7b69Cx1WxBd+5tLuJbpLMSrhVmI4302qq34NqwqldUb5WxE2G+CDVO0pFlwxakkV5bDbJXdM7QGucSefklbDVb0csjANhbQk5kWd0sj1xAjxXrkiaJcGqFXgcA2Kq3yCPIT4Q8geuKycls6o7SWESdmRS9yOPGV/MKsXqLhO0VALC3NOtCnjTSI1bjC4lXLo8q6+XxAfRhC1m4kmI9EaaMk1N0zxohD1sMtrckuxKhNNorVmxC3zS9qld4qrX5kBYJm2/SUvaUkKzSyquhCcILfEERrhknJlf2CmJ3CEVlSmDEfJOWsrc0u2IFVRU5MCxWbMY2ZB3SIBHOyzCyQJvdKzg3n+8mok0J+s23ail7S7Mr5EnDPSz0Olar/YEQsWKzPNJrukVXsSfbyqPhHrEK3ytOLhMSX0asZkAvk2VeIY8PCMVe3MMg4yENEuHpabrdTfhVpvTZqrdYIc9k5BH8RDgcphxARe7qIQ+7O3pdMekIUTlr9DLSyAX0BUJZg/YQ3Vm8slfYqvBXUipyiUDIcDhbwkVaLBBCWiTCk1MraMAuI1bhh7wtBWQyQrNneJI00ou+K2i1vqiOrXqLNIrsFU4BNuWT9lDWhLzRXhu2V7SH6KZ84lzluG4WyiMA2F0C2VM3S6P4sSIe0iARnlo35GE7N0dgZzE5lR3zZbToojo7LXqqcc04Nb2WV4jVDei1PwDsLiansifkjVwQsWv/dcqjys2yfxBdL7M7m7R18sgF9pUykBaJcJ0nwuoGeRRfL5M93VF5tFes3MyCUmYtryirVudntEV8vUyWeIUSDBBBRFfKnJqiu1fpiwIAsTt4t0fxD5tp0nL2lGRL0XxJKbMJ25D1YT0RhmUYCtNm16rOzee7iWhXQhNmWrWc3SXZMnFUHu21YY8YhfX6BBf1MtjzZbLJK/rQB8/Cek+EAGCrapBGkSUFu7OnPPIPCUUeYsvBNmR9WE+EZ4O0xU3ENc0Uq7bI6M6dNe0OabQXvQM2tkApQJVzzZBXjR/yrism57Jjvow8it8BUzToCNHrVn8iBL2BhF0e6X47tpD54UIa6UXfVxonrCfC09Nr9Tp0bNUN6IlQny8zJ+NaYQYsaCJOT8Ou9bxCrGqQR5FDXr4IVU5yPgvOY5JGe9GfCM/P0ionyVtzDrytqkHCFpmDvnicBa0CebTXVoXfJ4gH1hPhqTWXgnTEynr02p8n0OomZzLduakUU4IBAXumzKl4yiMGvAIAdpVkhV5GHu1Db5jHFys2y+P96JKCXcXk9DSuCWYgjTHRMI+HTEiEtqp69K2EoC8IZXrIk8f7RU8N4VfRp5tFXCGvvFYNTVApao5Jq7GrOPOXCdX5EFUVvqgM14xT0+t7BefI4xk4jykryiNK5fEB0XoiTJ6YChfmaOtKM2WWwrvLqKaqcyFzrFqNbAh5jJR4Z6bXWQoCAOB40VMtjw+aYdDq7M4Cr5AZ6IuC7hVF63kFgFjVgH5KVzbECmVilM93cTlObEPigulE2BGi9QUkJw6hvlhZL4/hKyMy3rnlkV6xGnmBMBiDGYnWF8QR8irrJQa84uw0difOYKTRXhu2V1CAM9N013pPhKA3kLB75vUFZFaiwYwewZEuW+l1uFAodPjw4aKiorvvvjsUuuqhat++feQSX/nKV8w37kwwrhIPLjo3cpXX6ia9czSm4lphLPIY/lLQ6Wm6o4jE4xYiA15RkgP5IhmYz+RUyMLeif45WmgjxXGMtBQr6yVsryAAO4oyXFLAQqyIH+7xxx+vra31+Xw1NTVPPPHE5Tcopd3d3T6fb35+fn5+/nvf+575xp2eiqvEg4u1P7Jz5/DQUJDRI7U0VQ6MiOV1uFacmabrSkZ1bJX16Fp5ANiV6YvH8li/WIl8vEBc3XIA0MsjBrwi4xtI8lg/enkUP8Izzzzz7LPP2u32Bx544MiRI4899pj+hs/nUxTlwx/+cE9Pz6FDh3784x/n5KywL1KSpBdeeKGvbwXHuuuuu0pLS695MRaL8TxP4+sVnZriPlJJo9H1P6yVVEmjfdEosjJiu4t7z6+25GWCf8disWg0SpY8ein+Ic5VEqMEUP+dT05wt3tpNLr+VhVaXCH7h6KLC7hzcFoLyIkJ+HC5IV4hSZL+TRlx8XjQoovqXFDNL1FRveLEBNleCPF4BdhygXCLgTGusNh4u64QjUYppaJ4cXtHawE55ifRaMZuMo2NXMgtrUKPyQBgs9k4bp1FQGFsbKy2thYA9OfCy2/4fL49e/Z897vframpefDBB7/2ta/96le/Wv7zsiy/9957g4ODy99qbW3Ny8u75sVIJEII0bT1v36Nwrmgc2tOJBKJI4LkFalzwcWZILE71v+wYTTn205NkvsqM6H3H41G9S/r8ivKYDcpq45EIohWAcCZ6dwvb45GIvFFkDz3wmg/V1plsFFrsc3JPzkkRiKGRARJkiKRCOKXog53k7KqSAzZ509P5Xy2To5E4lqZIJ6axcHz/NbdRlu1FD0RCsJFxXVjLve96Rz0vyaDoHNBIFxMyAEGfsHLxccaCJRSPdhRSlX1ihvt2bPn1Vdf1f/77/7u71paWlb8eafT+a1vfevAgQNx2kQpdTqddvv6vfwLs7TYoW7yuOK8suytzYuEbN6KOD9vBDdX0RdPqm53LqINqSIWi7nd7qWJcHY2wNVty3e7Ea2KqjC0KN9cW2iLT+al1W51zE/mbt1usF1rcatA/+9zqtttSIkmSZIgCG68LyXcMcXXbEU0QKd9Trm1JsedH1d3dLZuG5mdKDDXZlEUKaX5+fn6/95cCEPHZUeBOx4xYNoR9V3QqhvQvSJ+uIqKipGREQAYGxurrKy8/MbJkyfffPNN/b9tNls8qSu1nA3SnfEpZXTEqnpprN84e+JhZxFpy1yJoDTWhy4Daw/RLQUkziwIF5cJkb2iLp+EZTqF3yIyBBa20k9FYUGmtfFlQdC31WN7hY2DhgLSkaGSAokB/dSG4A4fPnz06FFK6dGjR48cOQIAx44dA4CFhYV77rmnq6tLkqS/+Zu/+ehHP2qyZWeD9LqN9PDFCnznLrKDy0765zLTueWxfrECWRNxNm5NhA4LXqFLBM8GM9crsJUyZ4N0Z3FcQmIdsRJ/IDsAXFecscJRFrxiQ3CPPPJIW1tbdXV1R0fHQw89BAAHDx4EgNtuu+3hhx8+fPhwZWVlKBR6/PHHTbYsfhmYjo0Z587IkKfOThOO5wuQex0b9QqxcjO6nBgu7SbEtsIANE0ODKMLiU9v1CtKq9S5II0hL1/tzODyaBy/aN4Qgsvlev7555e+pEs6CSEPPPDAAw88gGQYnJ2GHRtqjVZulv3DoGmwnkDIUHYWwZlp+rE6RBMMQR7rY6HEOxuk99Rt4PvlC4sBiDoXxD0qb2cxOe7LwJAnT4zyhcW4CjUAaJumt1dsIFYAx4neWnl8wLap2TCj1ue6YvLsUAaqRqkUVWenxTJMhdpGYXSyTDAGczLdFHfTHwCILYcvKJInkacI7iwiZ4O4JhiCxEAipABtQbpzI7U/AIgVm9BbBTszdPc0O+XRhvQEACBWbJLGsSUFxaQtmIGSAnmsX/TW4D6QbBRGbT0bjHd6yFJYWAPfmaFNMHl8AP2k6cF5WiDGNT1kKTYGvEKfOiRlXPUvjw+gd8AkDXrnaMt6E4mvgYVYUWwHp0iGMm7qEAuxYqMwmgjbpumG+qI6YsVmeXzACHviZ3M+CcbojIRrRephYU5EW5Du2HiDkwWvsPOwKZ90zWReyOu3YT8Rds3Qury4JhIvRazE9woAuK4IMm+ZUBrHjxUbhdFEmECvAy4fNoYKR6DVTdoyy7mpLKkzk0Jp5fofNZKzQdhoXxTY8ArQhaMZ1ypgQRyYQLcc9Ia5bxD9YMIdmbiSwoJXbBRGE2FbMLEnwk3o7Q641PrHtiKVyL5BoawK/RjCswn1CQRPtRIMUBn5IX1nUaZ5hbYwRxWJLyzBNSMxr+BynLyzQJn2rf9RI8m8WAGUKv4hdCHxRmExESoadM3Q1gRCnruMyjFtYc4Iq+JnR8aFPHm834a9FASJlkeEF4SSCtk/ZIRJ8ZOBXjHWJ1Zsgg0v5aeYtoS6R8BG3Zx5XqFM+0huHue4drgm47CYCHvmaKWTOBN4/CBE9Naht/4zrwkmjw8I2KvfYRl8i3RrYUIhj4EFoR1FkGEhT2JAKQOJrhyD7hW+wdQas1G2FpKxBbqg4FqRSuTxARaK5o3CYiJMTCmjI1ZsQg9524tI5wzVMijoyeMD6L2O9hDd5iJ8Qn4hluN7RaWTKBoE8EcQpwyFAXFgIAKKBpXOhMqjcvwnQp5Ak4u0Z1CFJI8PiOVpJhkFNhPhuVByidCHHPIKRCjNIX0ZNGhN9g2iiwMT64vqsOAVkHF9MImBRGh5BWuk494JYDMRJtzrADaeCCGznFudmSI8z+XFewyIQZxLMuRh1/4AsCOTlBGaqkyMiN5aXCvOBen2RL1CKKlQ50JadDG1Jm2UTIoVYCXCFNIW3NhwtaWI5XUXB62hsqMIzmXKXHnZx0SvI5nany8oAkLUOWSh+o4ici5TQp48OcYXlhDbCod1m0kyXgEcJ3prFGwV1fYikjGxgkpRdW4afZ9VAjCXCGckCMU2NlxtKcTu4PPd6KroVjc5lynbgxgp8c6FEq/9gY1lwu0ZtMHU8opUkUlPhLJvUPSk2XA1HeYsbg/SVndSimyxYhP6BuodGVTlyeOD6EqZkQWaw0NpEo8fLPTMW9yke5YqGTFoTWHAKxQNzs/Q1g0OV1uKWFGHLhwtzYEcHkYXMiFcMFIeJQBzibAtiaa/jlhRJ/uQ2x1bMkgVLfsH0Z37XBC2JxHvQPcK7CZYrgBVTtKTESoqFrziwhytdJLcJMY8MKKX2e4mbRnRQJL9QwJ2eZQYzCXC9uR6HXCx3YGvit7myoTjp6mqKBOjgqcG14xkNBE6LHgF6AtCGdEHk8f60RNhMvopHRbm0EJmeYUN2ysSg7lE2Bakydb+5XXy+GCKzEmc7e5McG5lYpQv8hLRhmtGeyipDhgAiOV1ysQoaGqqTEqMVje0Z0B5FIuoC3NCcTmuGedCtDW5g6I5ZwERRHV2OkUWJUirm2SAV4D1RJgqaCqeCIXSSnVumkrRVFmVGK1FmeDcsm9QLEeWyEMqngiJaOMLS+TJsVSZlBjbM0JFJfsGRU81+nC15BvmwEarIDOeCHVVNp+fXG2CBFuJcDhM80RStMED566F44SyKtk/nBqbEiUznghZmBOhaHBhjja7kg95tQr24nFmhDwWvAJSUR4BgFCOLylodpELc1ROcxUVI16RGGwlwvYQbE9FPSGW46+Bb8+IrYSyb1CsqMO1oWeOVjuJI+mjL1jwivoCEojQsIxrRbKw4BVhGQIRWl+QfHlUh+4VDgGqnaRnNr3DBQtekTBsJcJzwWSXgnRYWCasyCWqBhNpPluShRNVzgUTOYpkOWIFvldkhopK9uHvnehIYvbsUljYQQEZsZKiMOAVCcNWImwPpSjkldeiD4wAgNY0301IYxE1PIuuiWhPWhOhI3qZCHkZMEmEBU1E8mICHdFTqwRG0FVU29NfL8NCeZQwjCXCpCWjOmL5JiZCnju958ozooloT4UmAi6qqIL4Kqo0D3nqXBAoRddEJC8k1iE2O19YokyOJ3+pZGh1Q3qrqCiVJ0bRZ88mDEOJUNdENCWtiQAA3lVCFQn9hN6WNA95jJR4SY7RugLHCWWV6Cqq1gwojxjYK5YSpYwOC93RdG+NKlPjfF4hsTuwDUkQhhJhzxytSoUmQkf01qKLwdK9CaYw0AFbUMC3mAJNhI5Yjj9fZntRem8lZGQpqD1EW1J0IAoLXtFQQPyLaTyLSvbhiwmSgaFE2J4ipYyOwIAYrMVNOkM0fWOe7BtC73V0hmhjYQo0ETqit1bxDabmWolSkUvkdFZRseAVk1GQEz2PdzmCtxb9iZAn0JjOKirZN4BeNCcDS4kwRLcnegzhcsRy/HaHywYuGxmaT1/nxq/9U9YXBQBmFo9b3KRjxvKKxEmVvFyHhTMoAKDVnc6J0I9fHiUDQ4mwIwQtKXRuLyPCUWgPYRuRGJEwaApfWIxrRUeIptYrWEiEabxMSKkcGBa8yLNnU+wVZZXq7BSVpVRdMDHSWkXFSMM8YRhKhKmSgelc3EqI3ZhMX+emE8MszInoSKlX8O5SGotqi/OpumBipG/trwT9XG4+58jDNSO1sQI4XiguVwIjKbtgQrSkbXlEVUUJBoSyKmxDEoeVRBhVYXSBbkmRJgL0cbo2O/o43Za0DXl0coyFXse5IKRkE+FFCBHKa9GVEenbGlXY6IClasPxZVhYSWl1Q8cMrgkJokyM8m4PEURsQxKHlUTYNUPrC4iQUnMEL37Ia03biaN0aozHDnmhGIRlWp2X0pDnxZ842lqUrrW/7BtiYYxWZ0pbowDAQnlUnUfCMg3FcK1IBEZG8ycDK4kwtR0wHRaqvCYXuTCXloeS08kxdOfWl4JS6xYiA+VRsR0cQloeSs6CZHR0gToEKE5yNP/ViF78HRQEoNmVlispjPQJkoGVRNie6hIP9CPofIOpveZGyRWgIpf0paNwdAq/NZryDhiwMWQZLvbMsY3YOLJ/UMD3CjCmaMb3itaitFxJkX1D6EVzkrCSCDtSNE9yKaK3Br3Kg/SUCKozU0S0cc4CXDM6QrQlFZOGliIwMGkB0nTqkKYqE6OipxrXitRKRnWEYq+2ME9jyLs7W9JzK6HsGxS9ddhWJAUridCoKi8wgi4cbUnDNXDZNwglldhWGPJEyBe4AUCdR34ca3GRznQLecrkOF9YQmw5uGakWDKqQ4hYVoVeN6ejto7Kkjo3LZRWYBuSFEwkwrAMkxG6KT/Fzk3sDi43Xwn6U3vZjZKOzi0HhkkpfiLsnEnBebzLYeFwknScLSkHhlnogBnxRAj6LCrLKzaOEhgRSiqA47ENSQomEmHnDG10Ec6AQw5Eb62CPWQ5HbcHKT78J8KJCKgalOem/soszKFtcZOuGexmxQZhoQNGAbpmaLMBiZAFObHXARpNs/F7LEwaSh4mEqERklEdkQFVdGMhGQxTKa2Eo7JviGAnwo4ZQwp/ABAYkAgWiOk3fk/2DwnYT4SD87TITgoM2LHGgpwY0nCPaboPV9NhJREaFPJYGKll56E2j/TMpo9zUyoHhqEEuelvqFegt0YBoMWdZuP3FAb2TnSEoMWYkxBZiBWQhispsn8IXUicPBmeCFnYJwsAze50UkaooUnO4SR2A5qSG8HARFhei34qIeiHk6RP7U9VRZn2oY/RMkJIrMO7S2ksokXCRlw8ftIuESr+tN87AcwkQkjV0WLXIHpqlIlR0JD7ki0uSCPnlv1MNP2NS4ScswA4Xp1DPhE8vUKeMjnGF+GP0TLOK4AQwVODLilIr6KZSlF1PiQUebENSRb8RDgnw4xEa1MtGdUhthw+382EcDR9dlCwMD0EADpDhkhGdVgQjqZZImTDK4xbOQY2lgnTayuh7B8WyqqBw88jSYL/C3SG6DZXisdoLYWFDdTpFfJYOGfHHwGOQJnDqOuzIBxtdpHzM1RLE7+QA8MitldoFLpnaJNh5RELKyllDuAI+NNEOKr4h9C9IiXgJ0IDex0AACB6a5QAcrtjSyEZCtOYimtFvLBQ+xvtFYK3Rsb2ijwRSnLIYDg9MqHsw9dEDMzTUgfJM6w7KzLQGoW06o5mhmQUWEiEBm2avgwLtb+Ng03pIhylVJ4YETwZdfLqcljwCtCnDqVJyFMC+CGvI0QNEhPosLDbCtKqgSRnhFIGWEiE7UGjNhHqsHAYE+hVXjpIBJVggMvN53IyVjKqw8gOimYX6UyHHRRUVZRpv4A9bKhjBgz1Cr6whMai2iKycLTZlR6xAgAU/7DgsRJhKuicgWZjNgbpiJ4aZZIB4Wia1P6MnKhidJ+AcxYQQbTObY4TRiSjnSFDZspcgRDBW60ELElBXNBYRA3PCsVpLxkF9EQ4K8GsRGtSevLqNRCbnc8vUqZ9xt0iHtLl2B3Zj6+JABNCHhutgnQZI6L4h0XsbjkYXx4BGz3zdEmEcmBEKKsCA5WO5oGcCDtnaJORklEdFkJeurQ7WJCM+hZB4KDU4EMOWNhB0eQi3ekgHGVhKchoyaiO4K1FV1GV5gBPIMC8cJQFr0gV2InQ+MIfdOEothhsa5oIR1mQjJpQ+AOA4KmWAyNG32Vt8kQodZAB5ieOyv4hdP2U0ZJRHUaEo2lxXKXiH2KhT5ASsBOhKSFP9Nagj9QS00I4elEyinzyqlnlEX4TDACaXcB+q0DxD6EPG+qcoc1GSkZ1GDnNOy12UFhPhCnDnJDHQmsU0kE4qoQmOEcel+PENcO4eZJLEb216LIISAfhKCOS0c4QmFA08y4mJo6mxUpKxkhGAT0RGjdldCmWcDROGJmf22nMgXPXwDkLgBPQJ46mQXk0Oc67y/Alo6Z4BRAilFUr2D1z9p8IaSyihmeEIg+2IakBMxHOyRAybMroUojNzsLE0SYX6WJ74igjU0a7jJwnuRQW9DLNLtZDHiM7aozeWnoZFrbVNzM/cVQOjGTGlFEdzF+jK0S3FZqkvRU8+MuE7KuilcAwuiZCF8sZLRnVERnwimY3OT/LtHBUZmCepEahe9ZwyagOC2dQeBxA2BaOZsyUUR3MRGhSrwMALgpHkau8rcwfVc/CJkJz9FM6LCwe54tQZCdDDE8cVQL4I/eGwrTITvJN6c6ycAYFML9MKAdGMkYyCsiJ0KxeB7CxPcjGQW0eucCscJRShQHJqGkdMGBjXw1cFI5iG7E6LAxW7pwBEySjOgIDInNgfpkwMw6mvwzyE2GTWc7NTMhjt8pTZyaJ3cE58nDN6DK3T4BeHgHjIU9TWTiY3hx5uY7gLtMiYS26YM7tVoPlWAH6sCHs7lEKwUyEHSFjR+guRfTUyIERoMiO1ewGZrXyMgMdMADoMPI83mvg8lxAiDqP/JU0uUgXqyFPmfLxBcVEtOGaYWbDHAgRGRCONrlIF6vlEZVi6nxQKC7HNiRloCXCsAxTUVpn5JTRpRC7g3MWKMGAObdbDZarPEa2x5r5RAhsTBJhWUXFiFeY+UQIbHRHWZ5Dq0yMCKWVGSMZBcREeH6Wbi0knInzWlk4oZflJhgLg5WnoqBo4DXsYPrlsHBCb7OLdM1gNytWQfbjC4kpwHnjp4wuRfRUo8eK8lyQNZiK4lqxMjIDsSK1oCVCMzUROqK3Fr3KaywkffNUYVI4ysK47Q5zC3+4+ESILBEstEGBjYwwKRxVAvghbyRM823EZWJ3loWthMBwA0lmYJ9VakFLhF3mlnigbw/CrvJyeKhykt45Fp2bhZBnvleI3lr00dvAsHBU9g+jt0bNlIzqCJ5a9DVCYLiBpDDgFakFLRF2how9j3c5LIzeBlarPHV2mggi5yzANcNUTQQAAAiMyInZDHmUKpNj6JJRhKK52KvOz9AY8oZ2NmMF6CvH2EVzasFLhBghT/YP4QtHXSwKR1mYKQOmayIAgC8ooqqsLcyZedPlsBnylGkfn+8iNlPG/KyO+V4BhAhllfIE/sRRBuXEVJHVmUm+JHMko4CVCCMK+BbpZuOnbmBG1wAAIABJREFUjC6Fy3FyObnq7JSZN11OE5POLfuH0TdNg1lH7VyD4MEfttDM5A4K2T/MwqZp84tmABA9tYofOxGyWTRPjAolFYQXsA1JJTiJ8PwsbSggguk3Z0Evw+amMRZWv2ckWJCh0ml6yGOgO9rEZGuUkXmS5rdGAUDwVqOXR5VOsqDQUAzXimuR/UPoqrqUg5MIUTwbAARPNbpEsMlFetgbsszCnIjOEG1ymzSEfSmiBz/kFdvBzsP4IltuwcKMBd8i2DgoMb07K3pq0bV1BGAbe3WzkllTRnVwEiFC0x8A2HgidApQ6iAD82w5t+wfQp8yilYesXJUPXMn9Cr+YRHbKzqRvEL01rDiFYwlQtk/jB4rUg5SIjRdD60jeKpZ0Mo3uYCpgwm18AwA8PnmqniXgbIUBGzsngYGF48plbNsCPtShJJydW6aypL5t15Kk4ucZ8orAJQA/hD2lIPWGsV6IkRvjQJ7VR4jcyKwvIJ3ldJYRFsMm3/rpbDmFUpognPkcTlOXDOw+gTA8UJxuTIxinDrJTQzNn6Pqooy7RdKK7ENSTEIiVDSYChMGwoQnJtzFgAvqHNB82+9FNb0MizMlAGAjhBOnwAIEcqqFWytPGteoQTwl40BbxkF2Bi/x1r3SJka512lRDDlZEgTQUiEF+agLo/YkHYwil78PhhrQ5ZZmDIalmE6SmvNGsJ+DSwMW2DNK2QfEwfOoT0R6uP3sGNFXR6ZitKwjGvFFRQ2hrCnHIR0dH4WsEo8ABA9+HoZve/PTsyT/fhPhF0ztNFl6hD2pbAwfs/jAEphkpkhy0pgBF0pMxkFlZo6hH0poge/POIINLLUKpD9I6LHSoSpoGuW4HTAAEAfqYUd8lgbsszClFEspYwOC0+EwNhuQha2liL2RYGNw5iAscVjJZCBklFAeiIkWL0OuLhpDF842sxM61+LhKkU5QuLcc1A7IABG0+EwNh8GRaeCHHLI6GsSg36qapgGaDD1OKxzMbKccrBeCKcwWyNCgwcxAoATcxUeYo+JwJhI/tVmD+EfSlCsVcNz6IPWWYn5Kmz00TEH8KOWx4RXuDdZcrkOJYBOs1uVopm0DQWhrAbgdmJUNGgPwxbMSSjOnxhMRNDlplpgslszInADXnsDFlmRC/DyBB2ZK+4eJo38oarZhczXhH08/lu9CHsRmB2Ihxc5Coc4ECd1yp48FXR7PT9WTiCPKLA2CKtN3cI+zWInlr0VgE7WnnZx8Smadw+AbChrducT3yLNILcoAVgZgi7EXAAEAqFDh8+XFRUdPfdd4dCV6Y8rfZ6MvTMc014Shkd0VONHvLYeSJU/PghrxtpCPtSBC/+4nGVkywodBZ5mAkAG0qZGQnCMq0yfQj7UgQGdlsJHNQXkB4GTvNWAvgj9wyCA4DHH3+8trbW5/PV1NQ88cQTl99b7fVk6JnntxUif6OCpwY95BXbwcaDbxHXCoCLg5WzdMroUljYNEYAGguZaBWwoJTpmqHbXMhr1yIDsQIuzqHF9woWhrAbhAAAzzzzzLPPPmu32x944IEjR4489thj+nurvb6UaDT6s5/97Pjx48vf+uQnP1lVde2yamdQO1iuhsOYRa9SWCZ1vBsOI4/UaswXT/kWD3g0TCOkqBqejdqcsOxfY2FhIRwOE1MC0ZkJviGXhMOYWhWtoDQ2NoDuFVvyxDMBeXuuGufnJUlaWFiw2+2pNUPyDcbyi2XUf43Tfn5LHgmHMXdWUmeRMjkWnpsDLtl+xcLCAqU0sT+o+lzhzAQ97InXKwxCGh/gd92B+zeiUdjobuPc3Fxuva9PAICxsbHa2loA0J//Lr+32utLoZSGw+GZmRVWNhRFoct2jT/RPJOTm0tpiv9uNwRfWqVOji63zWQaC+j5ObK/DNMMdWKEL62kALDsX4NSato/Ufccd0/VCt5iJsRdps0HNSlGRBuiGY0FWtcMxP9PQS+RQhvowiwAEGch7jdyfha2FZjnhCsjiMTpUoN+rjjZA9mT+aYaC9R/HxYoRV0npFSZGCWlFbjfyI8vCMML8O3rNvBPEY/Bgv45vU6hlKrqlaJjtdeX4nA4vvrVrx44cCBOm2RZdjqdKS9gN0Ze3nx00SlyuAOFd5Rq52dpfj7S2AwAAFicm9IqN+Xn5y9/a2FhIT8/35wnwp55ZW+FLR9VLAMAiyUVjuicWLQJ0YbrPNoPu7T4vUKSJABY8RtMmFhgMOatTe01E6B3UXl/HY/uFbGKOls46KjbmuR1CCGU0sT+VXeX07/rVHG/ETU0Ec7NKyjxINoAAP0RtaWYpDxscgBQUVExMjICAGNjY5WVV8aKr/Z62kOI6KlW/PhaefS+vxwYEcuQl4JkDQaRhrBfg+CtkbEPJ2l2kU5s4Sgj00M6Q4AurIOL2jpkr9haSAbDVEJdRWFkn5VB51NyAHD48OGjR49SSo8ePXrkyBEAOHbs2IqvZwzWDgodFqaMXpijNU5i53GtALiol0Eujzblk8kIXUDtgbEwPSQsw1SU1iENYV8KC9o6Gwe1eeTCLGa4kPXJG9gYJKzjAOCRRx5pa2urrq7u6Oh46KGHAODgwYMrvp4xsHAWa3kuyBpMoQ5ZZuGMzU6kk1eXI3iq0TeNcQS2FCKfxSr7h9DFgednMYewL0X0sjKLCnfqEAtn1EzHQNagPDf1VxYAwOVyPf/880tf1VcXl7+eMYjlteE3XsC24qJz3+bF+XOnsqTOBYViL8rdL9M5w0QHDABEb+184ElsKy62CvaUoCUBJTCC/kTYGcLfUaMjemvliRGgFHcMYbMLcHvmcmAk94Y7MS0A6AgZNXsWdQ8zHuwMWUbsjioTI0JJBXDITUkWNhHqCGVVyjT+kGXcxWMtEqaxCF9YgmWADjteQewOzpGnhiZxzUCXFCiBIfQnQuO8IlsTYXG5Oh+iEvLhb7jtDpmBXgdgH7WzFMILvKtUnVp5p5Bp4A5aU/SRe+hD2GcA8bC2axC9NTL2xFHcWKHOBYET0IewGxcrsjQRAiFCaaUyMYprBW6Vx4I4UKXQO0cbC5lIhKD3wbBbBbh9ApmBmTLAUnkEul4Ge5lwWyHpnaMqkl8ogWHRi+8V1hNh6mHh+Gncvr/sH0ZXyvTPUa+D5KIOYV8KC3qZhgIyukCjSFNEFP8Q+mDlqIo/hH0pLOhlHAJ4HaQfaeKo7B9m4WD6LsP6BNmbCFnYQVGdR+YktCHLcgB/70THDCuSUR0WJo4KHGzOJz1IWnkW9k6cn8Efwr4UFmIFXOyZ43iFwsA+qzkZZiVabcyOGmZ8zXRYqPIIwDak1j9VFTUYEEoqzL/1Us4zIxnVEbz4fQJAHbLMwrFc7ChldERvreIfXj6G0GSa3WjDFuTAEHp51BkycAh79iZCFsaIAN6CkDI5xhd5iCCaf+ulsKOS1xE91crkKGioMzwuHkqOUR7FItrCnFCEPEara4YyVR5xuXnEZlPngrhmIOplZD/+uROdM0btnYCsToQlFerMJFVkXDOw9DIsbI8F3blZao0SWw6f51KCAVwzml2kA6P2lwMjQlkVG5JRhrwC2Nhw1YIUK7SFOVAVvqDI/FsvpcvIojl7EyHhBaHYq0yO4ZrRjFTlyX78XodGoXuWrSdCABC8NQoLWnmU8oiBBUJgTDKqw4K2rslFzs8i9GdlBvRTcLFoNuri2ZsIAUDw1KJ3R5uQhKMKA2dsDoVpkZ3kI3dnr0X01qKHvEYXGcAYsszCKc36EPYtDAxhX4rgxY8V+SK4bWRo3uxUyMIpzWBwnyCrE6Hozd4hyyw8EXYxppTRETzVLAxZrnGSXtO18op/CF0lz84Q9qWInmr0WAEAzW6EupmFWLGgwGSEbjJsR01WJ0LBU41e5XEEthaa3h3VVGXaJ2AfwGTo6nfCiJ5a9GN3AGnxWPbjt0YZ7ItCdmvrZP8wemv0/AzdUmjgEPasToRieV12hjxl2s8XFOMexQ4sh7zACL5W3vSeOZUldXZKKEn2KPYkYWq42mX4fDcAqPMhXDNQFo9ZWDk2umjO6kQolFYyMWTZdL2M7MPvdQCrT4RcTi7ncLIwZNlkr2BkCDub5RGwcVxls9vsJ0JGhrAb7RVZnQiJIPKuUmVqHNcM8/UycgBfBkYBzjO2b/oyoreWhSHLJvcJWBi5B6yWR8DGsAV9B4WZbpElQ9izOhECgFheiz5fBqE1ysAmwrEF6hSI245rxcoIDAhH9SHLionCURbGaKkU+lgawr4UFsbvuWzgFGFswbxwIQfYKI+sJ0JDERnYQVGfT8YXacTEBq0cGBawZ8l3zoBxu4KShIXxew4BynNJv4laeRamjPbN0fJc4mBmCPtSWHgihIt6GfNuJ/vxz6iJKIYPYc/2RCh4q9GrPIGD+gLSbdqQZUqViTH0J0LjDptOHtFTjd4aBdMlgrJ/SMDeO8FsXxT0iaMseIW5DSTFP4T+RNg9a/gQ9mxPhKIHvwkG5oY8ZdrH57uILcec261GF2PD1ZYisDJkGTrNUilSVVFDE0Ip8hD2zhC7fQK+sJgqsrYwh2uG6eURfsPchPIo2xOh4KlWpsZBQzr87RJmVnksnMcLbD8Rco48Yneos9O4ZphaHk2MCsVewiM3JVl+IgQAoQx/2IKZsYLGIlokLLjLzLndapggJM72REhEG19QpEz7cc1oMVE4Kvvwex3A9hMhsDFswcyQx0JfFBjeO6EjemvQdx6bWR7J/iGxrDrjJaNgJULQtfI+bOd2kw7TQh4DU0bHF6mNg2ImJaM6ohd/vkyTi/TMUtUUv1D8w2I5ciLUKPSwN4R9KYK3Fv2E3pIcEDnwLZpxL9k/JGB7BVhPhOYgMLBprKGAjCzQmCkNWoWBMVodIWDqYPrlsDB62ylAqYMMmiIcZUEc2D9PyxzEyaRkVIeFohlMfChkYdx2TIXhBcOHsFuJEEQPvlZe5GBzvinCUUrlCfwTBlg7gnw5grcGvfYHgBYXmNMqkBkQB7J2Hu9yRC/+VkIAaDGrgcTCMkrPLN2UR0SDM5WVCFnaHmS8cyvBAJebz+U4jb7R2nQyrJTRYaE8gosjtQy/C1UVNegXSisNv9OasN8n4AtLaCyqLYZxzTAnVsDFEVTo3SNqgldYiRBET40yOQqa6Ye/XU2zG0xod7AwPxcAOmbMcO5k4JwFRBSZEI6aUB5NjvFFHiIgnwzJfnkEhAjeavTdhOZMHKWxiBaeE4q8Rt9obQw9j/cyViIEYrPz+W4liC0cdZMO4zeNyQwMVwPmxYE6AgMjtVrcpMOE8ogRr2BbSKwjemrQd1CY0xqVAyNCWRUbklHridAUBAbWwM1ZAGdBBuZbBIGDUuQN/evDgjKiyUW6Z6hmsF/I/iEWJKPdbEtGdViIFaU5wBMIRIy9CwteAVZr1ExY0MpvLSRDYcOFoywcQc74punLiF78ObR5IpQ6yIDBwlHZP4S+o2YwTIvtJB+5O7s+LMQKMGXDleIfQu8TSBoMhekW44ewW4kQAEBkQC8jcrApj/QYKhylVA6M4I/bToe+KDCkojJ88Vhh4ACmjhBtYXW42lJENo6qN6E7ysLB9N0zdFMesRmfpqxECHDx2B185zZ6DVwJTXCOPHTJaEeItqTJEyETtb+LGDpxlKqKMu0TyqoMvEccsC8Z1eFdpTQWYUI4anB5JPsH0Vuj5vRFwUqEOqwIR11gqERQYaPpnxaaCNCFowK+cNTo2t+SjG4MQlhRURnpFVklGQUrEeoQm53PL1KmfbhmtLhJh5GbxhiSjKZFyGOjVWC0cNSSjG4UFhaPjU6EWSUZBSsRXoaFBSHDnZsByag/AhyBMgeuFfHCwgm9RgtHWRAHahTOp4mECtiIFbpw1G+YcJQFrwCrNWo+LCwIbTFYOKowMDDJNM9OCSzU/kYLR2XfELomYmCeljpIHvOSUR0WYgUYXDezcB5vTIWhMN1qvGQUrER4GRZCno2DujxyYc4Y5744ZTQrBialCqEc3yvAYOGoEsAPeR0h2sL2lNGliIx4hZGndMn+IfQRVN2zdHO+4VNGdaxEeBFGnLvVTdqDhjj3pSmjuUZcPH7SaIEQAERvneIbQj+qvtVN2o0RjlJVUaYZmDI6A+myQAhXJo7O45rR6ibtxiVC35DgrTPo4nFiZtFsJcKLCGXVyuQYunDUOGUEC70OSIcpo0vhcvOIzabOBXHNMK4JpkyM8kVedMloevUJLk0czVhJAY1FtIU5ochjxMXjx0qECBCbnS9gQTgKBk0cZWT1uzO9Qh6A4K2TfYO4NhgX8lg4fQkAOkK0Na28QvTWoQ9aM9YrPDXoktGOEJjWMLcS4RVYmC1poHP7BtFD3vgiFTkoYX7K6FJY6Jkbd1S94sPfNK1S6Jml29KnYQ5seEWxHXJ4GFtIvVvIPiaKZjO7R1YivAILm8a2FJDRBRo1QDjKwt6J9jSZHrIU0VurYJdHuQKU55I+A1RULPQJ+uZoeS7TB9Mvh4XR22DYzmPZjy8kjigwtkAbDD6Y/jJWIryCWF6n+AZxbRA4qC8gXSlfJtQ0ZWIMfd902nXAAEAsx2+NgmGtAhb2TqTZAiEAZLpXsDCC6vwsbSggglkJykqEV2BhBwUAtBrg3Mq0j893ExtyUzIdQ57grZUDw+jC0RZX6hePqSyps1MiumTUxKWgVMEXFIGmauFZXDMMEpnLvkGxvC7ll90QJscKKxFeQfBUK9M+qiq4ZhhxKDkjTf/2NHwi5HJyOUeeEprANcMIObESGBFKKoDjU3vZjdIeoq1FaeYVwEbdbMSYfi0S1qKLfGFJai+7UUyOFVYivAIRRN5dpkyO4ZrRWgTnUp4IGWj60/Q5gOkaWOiZtxhQ+7MjGU27PgGw0R3Vu0epdYuLfVF8yaipx3JZifAqWFBGtLpJyptgLIgDh+ZpoY24bLhWJAILEsFtLtI3T+WUbnOVfYPo+ilZg7552mjKGK3UIjBwMGGhDVw2MpTS8Xuyb0jE3koPpgvrrER4FWJ5Hbpzb84nk1E6L6fymrIf37nbQ9CaDievLocFOXEODzXOFI/fY8Er/v/2zjxOjuq69+dWdVV19+yrpnuWnn3RbNo3EEJIYDBIghjbcVCcxXFM/FHs4PcSOwT4xCHxA2L7A5+YR14+QbYDgY8xARtbLAaEJJDQOtIsmtFo9qWnZ+/pnume7qquuu+PlsVoNEsv1XWrZ+73L2mmliP1r8+599xzz213YVsiMhLOzkYCZykkPmiG4M5jVQtH9VBIPCPB2CwuTqKBkBCcxSY5esjawCCoSFFzmRDLgcD4kA5OXo3LDBgEVTHUS9oKqElHzapmR/WQJ4jHQuIgnKVQGu4lbYX69TKSo5f4MsplJ65KRYyGuqCB8AZ0sj1I3S6C105e5QgnJeOxUiYIt8amh3Oba9JAxXJi7J+VZ1yGDItaD4yMFm2XglREJ+c216Sr3HFUDyWjLZoPmmkgvAEuK1d2jWNJJGtGtarFYNJQD3FlQ9wWB8K19nsZgfEhsmZUq7p4LDn6uBzybbRaJiFOh0ewEtvvydNOwJhNTlfrgZGhva+ggfBGGNaQlUu8nW6tqkkwPbTbDrbRiqNzJ+ahhxLB2jSkYjmxNEx+4A/xnCcAfahibSpqd+GAStmKgKNvdaqCBsL5cDmF0hDhZcKaNFAx3SHpQNwdLmw1I3NctdGaC2exEXd5pcnI7sFelba56qGnjDcAQ17t2mipjh721ZgNkJuAOlWqotJDR2IAaJnEGhfW0UA4Hz3UyucloNkAjPvUeZrk6OGsReo8K1JanLg2PvOiQfSweGxgoEy99nuSg3zCvHUKV6Ro10ZLdTgLeVUAQHWqasuEkqOXuK8Y94FfgbwEOiMkih7SHaDeGjgWfbLbqYeaiDjdOxFEJyWCKubMpSHyqdGWyTjOi0KwucxIH/Eqqtp01RJIkg4KibWvlAEaCG+GsxTpIRDWpqnj8qThfkN2HjCEP+gWZxzXRACAITtPdo4Sr6JSq5xYmXGBIrMpGdE/Khrit34qCBJMbBL5Q0xr0lCzKkdHYxwY6SeeMCeybEwD4XzYtCzs8yreabJmqNV6Ww95UQBonoxzl8caDBmWwOgAWTNqVcoTSI4ezloY/XOipDnOZ4Sgj+yoWqoITI4gUyJjSoz+UdFAJE9AA+FNIKSHTiI16eqUCEpD5Fe/ZwMw6MHlcVsTEYSzFBLfVl+TBqqM/aWhXuI9ZQCg2YlrCRfqR4vBUki8BUfwENPoq6j0kBeFa6qggVAHcNYi4i4vmBqNPhIGhsmXjLZO4fJ4rokIwlmLiLu8/ETkDeAJf7TP0cOm6Uk/zAa0rolQHT2UFKhVRRVw9HIWwtmjYGt+OiPUBZwORnlpAqSo0U5XtHcTT42ugAwY6MPlIZUarUmOXuKp0aZJXJNOej9/1HDWIuK7rUClKippiHzCvH8GJ3AoXdD6vTQQLgBnIT8jBIDaqM9j0k9NRFzvnQjCWfTh8qKvotJHTUTzJK5bAarIzpOnxlZGFZXk6CE+I2yehDoS2XIaCBeAsxYGHL3EDyWvjboYTA9DPABoXBEuj03Lwn4f8Sqq6CsjApPDeqiJaJrEtfGfJwj2oiJeUlAX9YwQB6TAxDDx1vykVEED4QIw5iQkGGXnGFkzond50lA3Zy1Wy56I0b5PRExAyKCDepnoZ4TSkC4KieO6udpc9JAzjz57FBjpN2RakYFTy6TIILWjhgbChdFDZURtOmqK0uXpoCZijESfiBjBWckvHgc7LUQjCz1spcfBA5jiP08AAJylKEA6Z56XgHwyjEXRi0oPqgCAZjoj1BV6WAOvSkU909gvR/4EPQTCpklcvyL8Heij2UIqD2kC6omiikoP7ba73TjDiFIJnwymDpyV/IwQok4V6EEVfhm6pnEVidb8NBAuDGchPyPkGShOiqIqWlGk4X7i4l4ZJaNBOGuRNNRN2gqoS4doUgWSvZvLJZwwb47zlntz4azFxH0FANRFl0DSgyquuHBxEhJYAq+mgXBhOAv5MygguAYeaeo/MD7EJqchwaSuSeHSNLkSSkaDcNZCydEX11VUWBLlqTFDVq6qFoVN8ySsgPqpIGxKBpZlZWaKrBlR7qDQw6mlTeSq6mggXBhDTkFgYph4VXRtOmqaiFDceiiGhpWVGmWMCUxCUmBimKwZ0Yz9peE+Q1YuYgkfiEXQ5cUCzmIjXkUVjSoUjxtLIpuapa5J4dI0QQOhzkCswZBpJX5Cb1QuTwe5DhnDlSkCveRjB2cpJp4drcuIThU6KCReSQlzAOCsxSJpVdSkobYpLEekCynYdoN0ewOC2SMaCBeFsxaLpLOj0awG6aFKvsOFLWaUSLgkW014HVRRlUfRW1IPTdi9ARjw4IqUlRQIyReOJnKQY0YdrkjchTREvv8UXMsTkHk1DYSLoofC0bwEJCkwOhvJvXooGb00geszVo6/A32owsBAZaRnseqhSr55Elemxn3v2blw1iLig2YAqI80gSQ5yHckHvOBqEA+oX1WK0iMasPlkk+CQaS7CRWfV55xGTKtsTApdJqdK6J7yBx0ooqIc+bSEPmE+QpUhaUoMDqA5agPgIiOiFUh2ru4vBLV7QmLRnILhEAD4RJw1iLJrguX1xi+uKWhHs5i00PSv55wo1OVMWRaZbdT8XnJmlGXjhrDr6KSp8YRy7JJhDcuNE2utDwB4ng2NSswZidrRl06ROArQJEDowPED2sjWz9FA+GisMnpgJDsmiBrRn1ElRE6KRltnFg5VfLXYBgupyDg6CVrRWRJMGlIJ6pYUSWjQfQwbq7PQE3h76uRRu1sSibijTGwKAwaiQ6PaCBcCs5aTHxBqD6isb9k7+ZyCec6Jv3glnBR0spzeeRVEUyChSsLPeRF8craUXMdLpe8KoqS0JQfO8M8rlIPqgDSwyMaCJeC18GCUHUa6nBjUQnvLsnezecSHvsHi6FXmsMD4HLJ18pnGiGBC/u4Sj3sqAkeOJdJePqhPryVvK9AALXhr6ToQRWiAh1uXE2iuVoQGgiXgrMWE093GFkoCrfRGsbScJ+BdBKscWIFDvwhOPYnrQoAWBf+gpA41EN8E2HjBK4nVCIfU3SiivqMsBNI0lAPT3rvRNsULkxEJnJtHmggXAout1jUg7jDzI4GxuxsUipjNMfOpFC4NInXrayaiCCctVhykD+usj4DNYazIIQlUXaOED9w7uIErEhVsKlZWA7I006yZqyLZEbYSXwZ5dIEYV/BOJ3Offv2paen79+/3+m84VPcsWMH+j0PP/wwKRMJwuUUyM4RLIaZdFeb+gx0KZxAKNq7iA/8gXTSP3YwRjObmBIYHyJrRn16eKqQhroN2fl6aK62IvMEoJt6mbBUocxM4UCAfHM10oXEzNNPP22z2RwOR0FBwTPPPHP9Fxjj9vZ2h8MxPT09PT397LPPErSSGAxryM6ThnvJWlEf5ihPDz1lJAXaXSttu9h1uNxiabCLrA3hJsEkezdPeikIVmKPhetwuSXEA2FNGmp3YSnkkgJxsIv4AiEEVUF0eMS8+eabhw4dEgTh0KFDb7zxxvVfOByOQCBw7733WiyWgwcPut1uglYShM8tIe7y1ofr8ga7uLzS2NkTCq1TuCiJZNI/puiht2RZMhrz4amQ28LroZDYLcGoD5clr8xAyOvglC6zAWyJYZQUSPYunrQqAKCRdGrUYLfbbTYbAATnhdd/4XA4Nm7c+OMf/7igoOCRRx759re//eqrr958v9fr/dGPfrTgrx5++OGiovnzErfbHQgEBEFQ9V8RQ+R0q6f3SqD6FoI2CAAGZGoddueaQtK3f7DTkJQlulzRvNTtdhuNRhRp1efpQUNVEutyeaKxQbcE0izShQ8guv/h6KlKNp4e9NYKboNh+RHH7ECHUL7JRdTmU+Ps2mRu2k34/y1GKClr/AMdi/1MsOH/AAAgAElEQVQPezwejLGihFn/HT7VycKng34bG1KbG1/fVUNJHVlVDHoRxxiNossVm8N+EhMTWXaZQw4NGOOgs8MYy/Jnp6Fv3Ljx6NGjwT8/9dRT1dXVC97PsmxeXl5x8QKT68TERI6b326Z+z2h/zMIk1sy23qauMF1abh1mitMXj4QYo8LAiKfmRNlW5ngxxRxIGydZtdlAPH/txjB5pX6j7xI/F9Xnw5tM/yGxBC+UBjLw31CQSkiavNlN1OXvmJVga2F3qkxA1YQv8BAPzhY0eDfvi4DXXYbOC6kb67H0Wu+/Qss0U+kdRrVpeHY/c+E4sQMVqt1YGCgrKzMbrfn5n52XOeFCxf8fv+OHTsAgOf5xeZwgiB8+ctf3rVrV4g2+Xw+s9kcRzNCpbR65qU+s8lEtl3Zxmy5bQY9aF6+ytfX38bnlZkTEqJ8o8lkMpvNEQfC5qnA99axZvPKTIKB2eaWA4LsJ9uubNMa5dQwE/yklr4yMDpoSEpLSMvUxrDFaJ2Wt61BZnPcfP3DZSY7j3OP8gUVN/9KURSM8bKfVPRszsFPXZJD+U/Got/pGk+0lZEtoWrzKBuzMFlVMPv27Tt8+DDG+PDhwwcOHACAY8eOAYDH43nggQfa2tpEUXzyySfvv/9+glYShDGa2cRU4l0E12egi6EtE0r2LuI1ETi4d2KFFgcG0cMe0/UZ6FJoOyhEu15qIlbk3onr8LmlxEsK1qWjS6F1HZIcPYbsPOKFxHpQBfPEE080NTXl5+dfvnz5scceA4Ddu3cDwM6dOx9//PF9+/bl5uY6nc6nn36arKEE4XKLxcFOsjasCzkQioOdxCtl+qax2YCyTWStiC18XolEWhU1aajDDaF0HZJ0oApxRRcSB9GDr8g2gdkQUtchcbCTJ60KALg4gdeTDoSG1NTUI0eOzP0RxhgAEEKHDh06dOgQIcN0BJdXKtm7YcPtBG0oTUaTPuz0Q9py+QNpsCv5cwc1MWpRLk7g9Svr0Imb4fJKZltOk7XBZICiRGifZi3LbQOTBrsSdz2giVGLctmJi1duIXEQPr/Ue/4oaStgfQZcnMCFy7X51UN5+aQfJn24hHQhMe0sszx8brFkJ5zuYBDUhTApxP5Z2TXBZecufVmsaZjAG0gP8WINp4N9NRBstOZc/lss6qCfZMM43pC50lVhLZaG+0CRl780loS4kiLZu4h3JL44gddlIIa0LmggXB4ur1Qc6CBtBWwIQdyivYuzFgKzTK1wrNFD0j/WcNn5sntS8RHeH7I+A5pdy3zc8tQYQohNITxJXw2qQIKJTc2URgbImrE+AzWMLxcIFVka7ifegkonqqCBcHnYlAzEsvLUGFkzQhnlSQOdfC75pH/DOBBP+scchuEsNuL1MvVpeNlAKA6QXyAEgAYdLAVpgB4WjzdkoovLnaMqOfrYtGwkEF7J10megAbCkOByS0XSebANmcuP8iQdFAeOzIJPXn59YgXA55EvEaxPh8suRl5SF5K9i8sj3D1ExtA0uSoCoR58hS0R+WU8PLvUNZK9iyetCtBHpQzQQBgifF4p8VFeVSrqm8Ez0lLXiAMdXH6ZVhYtjE6GeBrA5ZUSLxFM4SFbwFddS0VCcYB8cWC7C+eYUApP1got4PPJ+woAWL/cuFkP5eUzEvTP4LXkjiG8Dg2EIcHlk18m5BioTluq+zaWxMCEg7MUamjUAlwYX/mVMkH4vDI9uLy6VGVplyfZO4nPCFfV8EiydxE/pWvDcsuE0mAn8RnhpQlcnYYMOohCOjAhHuB0MCMEgI2Z6MLi4paGug3ZechAuH9Vw8RqcXkGiy0w4SB/SleqvIQq5GknFv2G9BwtTbqZhlUzPGLMSUxCMvEWHEv7CsBYtHdzpOsJ9OMraCAMCUP6GhyQZHc4B6HGgKVHeeJAJ59HOC8KABfG8UZ9iDvWINbArSkgfuBAXarcsHgVlRSslCHaIBBWkypAHznzDZloKVWMDrBJqYw5UUuTbkY/qqCBMFT4fPJ5sE1ZS4p7sIPLJzzEG/OBWyS/PVYzuPwy4jnz+lT50gRWFtGFONjJk1aFguGSbsb+GsDnl0mkVVGSjKYlPO5b+LfSYCfxYgKggTAe0YPLq0lD3W7sXeR8FXGgky8o19ai+QSXgnQhbU3Qw/AojccZAup0LxwJpYEO4qrocONMI0pfsa2258PllxGfESKADRmLZkfFgU4+n7AqvAHoncbV+mi5RwNhqOhhlBesl7m00KQQS2JgzM5ZCPeJuDCON+ljiKcNfH652H+VtBWwKQudX9TlXeVIu7wL43hT1upShTTQSbxeZmPmoqqQ+q/ypGeEwUoZXh8hSB9WxAO8DmaEsLi4dVIpc36VuTyDxRaYGCZeL7MxE50fW0AV8rQTS6IhLVt7k+Zyfmx1DY8Yc6Ie6mU2ZS2sCsBYGuomXkisK19BA2GosGnZWJZl13ING2LMYuIW+68Sz4ABwPkxvST9tQGxBi7HJtlJLx4vNjwKDvxJ56p15fK0gSsoEwcIpwo2LVI4Ko30M0lpjIlwpYyufAUNhGGgh0nhoi5voIN4rmNkFrwBXLQKesrMhS8oEwcIB8KNmejSBL65v4weGizIwUqZ1bF34jp8frnYT9hXFCUhb2CB/jJ68BUQHB7RQBiP8AXlUn87WRvWpqIBD3bf1F9GDzPCc2N4Uxbp2YfmcPnlImlVpPBgNaMrU/MjoR5U0TaFreZV0VNmLnyBbhaPb0og6UEV0xIMeHTRUyYIDYRhoAdxGxioT5+/mxD7ZwOTI4YcGymrgpwfVzavsgwY6EMVALApC51b2OVVELHnOufG8GpURX6ZNNRN/DymzVno3Nj8g5vFvnbeRlgVF8ZxfbouesoE0Y0h8QBXUC4OdBAvBtt8k8sTBzu53GLEEj7z9OwY3qybXIdmcGsKZNcE8fOYNmeiczcOj2TnKGJZ4qcvrc5AiASTIS1LGu4na8bNqsByQBru43IJV8roTRU0EIYBm5SGeGNgYpisGVuy0Nl5gbCvnfjAH66Je/UpimH4vFKJ9ILQlmx0dlS3qtCRy9MMrqCCeM58cxYzb9AsDXUbsqyIN5IyKYjeVLH63FZ08LoQ902BsL+deNK/exqbWGQxk7WCDLyNvCrWpaO2Keybk4rTgyp8MrRN6eKcHe3RQ87cYgYji3qmP3MXYh/5bDkAnB3DW2ggjF94W4XYR9jllSQjj3RDMZgeXN7ZUbwlW0fK1hK+gLwqTAaoSL2h2YLYf5UjrYpLE7gyFRmXOTl4ZcLbKsS+K6StgC1Z6MycVIGkA18xMgszkr4aMdJAGB58AXlxo2t5sGtr4LLbiX2zhkwrWavO6GyIpyV6UAUAbJ2bKlAUUQfN1c6Mrl5VcNbiwLgD+5c8Hjf2bM2+IYHk77vC2yoJ2gMAZ0aVzTorL6eBMDz4/FLJ0YvlRdp9asXWLObM78Ut9rfztkrim6bPjOKtq9XlsenZAFieGiNrxtyxvzTSz6ZmEt80fWYMb12teQLEGjhLIfGmo1uy0HVfofg88tQ4R7q8XIeqoIEwPJBgMmRaJDvhk3e2Zn/m8sTeNuLF0KICzU4d9YnQHt5WKfYSnhRuy/7M5Yk9rQLpgT+s7uERBFVBOme+KRM1TWJRAQAQe6/w+WXAEHb7Z0bxVp1V1enLmriAt1WKvW1kbdiShc6PX+skIvZd4QuryNrTOIFLklAi4UanJOFtlcSzoxWpaNKPx3wA1/aKEQ6EYz5wirhCN5umtUcPy4SJHJQkocYJDPrwFQqG8+N0Rhj/6GGUly5Ajgm1OjEoijTQQbwM7PQo3qYzZWsMb6v0k54RIoAtWej0qAJBl0c6EAYXCFezLPQwaAaAbdno9GgwEJLfUdM6hXNMujuTiwbCsBEKq/QjbsnRy6RkEj9p+lMaCG0Vkr0LB27qfactQVUoszMB5yhnLSRrzKejymrOiwKAISMHsEJ88fhaIMRYDzPCT0f06CtoIAwbQ3aeMjstTzvJmrF9Dfp0FIt9VwTSC4QAcGoE71ijO3FrCeKNhqxcaYjw4vH2bObTESz2tfP5ZcAQ3rVwagTvWLPaPQxvqxJ7CI+bg74iMD7ECCY2OY2sMadG8Xb9+YrVLtNIQIi3kZ8Ubs9Gn45if08rX7SWrCUOL8xIuCxFd+LWGKGwSuxpJWvD1mx0fhz7etqIqyKgQMP46t07cR2+sNJP2leUpyC3iEevXCauCtDrMgoNhJHA6yA7Wp2GHF4829NGPtcxqmxfs6qXgoLwhVXEXV4qDwWJaLKzTSgkvEDY7MT5iShNZ0tB2sMXrSU+PEIA27LRyNU24svGE35weHFNmu68BQ2EkSAUrfV3ExY3i2BP6rTsnuLWFJC15NQI3p5NhQR80Vqx+zJpK+DWbMwMXOFthIdHp0bwdv0N/LWHzy+Xhvuw6Cdrxo41DNt/WSiuJmvG6VG8OQux+tMF9V+RwBdW6qEy4j7cOphZSXxX0MkRfIv+kv7aY8i0AMby5ChZM+5keyeFdCYxhawZVBVBEMdzlkLiTUdvTfWYZsY4axFZM04OK/pUBQ2EkYB4oyE7TyJ9Wv0Gb/sZI+GB/2wAmif11UieIHxhlb+H8KRwvefKOSP5rfQnV3391HWEorUiaVXUT19pNJXPKoTrp06O4Ft0WT+lR5viAqG42k86D5Y93HKEqfITPfvz3DiuSUdmwich6gW+uJq4y0t1XD6fuLZ/huSpmQMe7JNp/dQ1+OJq4sMj6Gvpz6qedzahxvhlaJjQY6UM0EAYMUIRYZeHJVFx9MxaKi4QFffHw/hWOvD/PXoYHvl7Wg2F1Z+MEFcFQ2URRCiuFnvbyB7oLfa0GmxVnwyTtOHCOC5PQUm67D9FA2GE8CW1/u7LBMUt9rVzlsJNVhNZl/eJXpP+RODzSuXJEcU7TcoAeXIUAlJ5SR5Zl3dyBO/Moaq4BpOYyiSkyCPETqvHAUkc7CysXvvJiELKBtC3KmggjBA2OY0xJ0nkxO3vaRGKq3fmIIIuT8bw6Si+NYeq6PcwLFdQTnBrjb+nhS+uvi0HfUw0EH48rF+XRwShpCbQR0wV0sBVLjt/e37CpyPXGhQT4eNhvFOvg2bqwiJHKKkVu1pIvV3sahFKa3fmMCdHFIWQuJsmca4ZZRnJvF2fCCW1fnKq8He1CCW16zLQgAdPEKrYn/RD/wyuT9epyyOCUFIrExwedbUIpbVZRrCaUdMkGWehYDg5ouh20KxTs+ICoaTG39VE5t2KLPZe4Ytq1pggy4hanGTEfcKBb7NQf3cDQkmdv6uZ1NuDgZBFsD0bfTJMJg/28bCyPRsZqGuZg1BSF+gltvPY39XCF9cAwG0WdMJBxlc0O3G2Ca0xEXn58lC1Rg5PbuwvDnayGWuCvbZ3WdBxQuI+MYxvoxmwG+FtFZKjF4s+7V8tTzuVaWdwr9guC0NKFccd+DYLdSw3wKZng8GgTDgIvFuRxZ5WoaQGAHbloOOEcubHHXiXjn0F1WvkGDJygGED40Pav9rf0SSU1gX/vMuCjpFweQqGE8PKLjojvBHE8XxeqZ9EVy2xs1koqQGEgJwqAOD4ML6dquImDIXVARJ15r8fNCcBwC4Lc8JBZiXluAPr2VfQQBgVQmmtv6NR+/f6O5uEkmuB8HYLOjFMQNwtTpwuIKtZv+ImhVBaR04VtcE/b8pEXW7s1HyZ0OmHThfelElVMR9DUXWgm0ACyd/xmSosZsg0ombNV1L0P2imgTAqhNJ6f6fmy4Rzch0AYDWjDIHAMuFHQ3i3jpVNEKGMhCoAfJ2NQtm64J85BnasQSc0XyY8MaxsX4M46lduwlBcI5NYJvTPUQUA3G5Bx4a09hXNTpyh70EzFWxUCGX1/o5LGu8mFPuvspk5TELy9Z/stqKjmov7IwfebdWvsgnC2yolRy/2z2r5Utk1ocy45jaTvN3CkFEFXSBcCCY1CwycxhuusByYO2gGgDus6KjmOfOjQ3r3FVSyUWFIX4M4QRoZ0PKlvquXjHOGeACw26J1IJQxnBhWqMtbEMTxfEGFxrWj/o5GobQO5hyHdYcVfaS5y/vQju/Qt8sjiKGoRuOcudjXbsjKDS4QBrndwpxwKBrvJjw6pOhcFdSRRYtQts5/9aKWb/R3XBLmBUIr8/GwEtAwDXZ+DOcnoGy9FkMTx1i+zteurSquXpynig2ZaNCDRzSclw7Pgt2LN9AFwkUwlNT6NVZFxyWhrH7uT7JNUJCIzo9pFwkDCnw8rPc8ga6NiwuEck0DIRb9Yv/VubkOAMgyQlESOquhuD8Ywnv0PcQji8aqgGCeoGL93J+wCHblMB8OaTc++tCu3G5hdHjanE5gi2v8XU2gaPeJ+NsvCuXr5/1wjxV9oGEC6cwYLk5Cmfpuu0EDYbQYy9f7O5uxHNDmdf6uZj6vFAnz52J7c9H7dg0DoV3Zm0vFsyh8frnsmpDdk9q8LjAyAAgZsnLn/fxOjVUxhPfS4dHiMImpbGqWZmcTYv+saO8Simvm/XxvLvO+Xbtg/IEd35mrd1VQXxYtTGIKm2kR+9q1eZ2vvUGo2HDzz+/UUNyeAFwY1/WuIPIwjFBWr1kezNfeYFxYFZoGwvft+K48qoqlMFZs8LU3aPMuf2cjb6tAvDDv57ss6MI4ntHqWPH37cqduh80692+uMBYudHffkGbd/nbG4yVC7i8nTmoeRK7RC1sOObAm7NQAj2DcEmMlRt9WqlisUBYloIEBi5rsrXmshMLDJQm00C4FELFBs18ha/94oKqSDDA1iyN+i24RGiexLfquKdMEBoIVcBYudHXpoW45alx2T3J55cvYAMLt+QgbRaE3h1QPpdHlbMMxqpN/vaLGmytwXJA7GoRKuYvBQX5XB56b1ALl/fuIP4cnQ4uh1BSKw31KLMzGrzL13beWLlpwV99Lo95b1ALX/HhkHJLDjKyGrwqKqg7UwG+aG1gzK7MuGL9It+V88bKjXNL5Odydx7zzoBGLu9u6vKWg03NQuYkcbAz1i/C/VcMFtvcEvm53J2H3tHE5b07qFBVLAvieL64WoNCqsC4A4u+uftK53J3HnpXq+HR3fEwaI4DE/UPYg1CWb3vSswnhb7Wc8aqzYv99p489O5gzCcgV13YJ0MtPWQnBExVm3xt52P9FqWzcQlV3GFlzo7GfEFoRoKzo/gOK/Uny2Os2uxrjbkqfG3njJWbFhs016QjnwxXXbH1FhjgnYH4GDRT4aqDce0WX+uZmL4CywF/R6OxcuNiF5SlIJMBGidiK+63B/A9+Yt8vSg3ooEqACDQeclYtXAGDAASOdiajT6Icc78gyFlazZK5GL6khWCce1mX9u5WOfMfa1njWsXHR4hgHvy0dsxTiA1TWIjC+UpceAtaCBUB+Pazb4rDaDIsXuF2NVsWJPPJKYscc29+ehIjMX9237l3vw4ULYe4EtqAiODysxU7F4hTzjA5+XzSpe45t585kh/rFWB782nziQkDBkWZEoUBzti9wos+sSe1gXLy6/z+Xx0ZCC2w6Pf9uN7C+LDV1DtqgObnG7ItPq7Y3jMymzLaVPNtqWvua+AeasvhuJ2iXBuDNMdhCGCWINQuWG29VzsXiG2nmXKNyyWAQtyXwH6bX8MzydRMLw9oOyzxYfL0wOmmm2+y2dj93zflQa+sIoxmpe45s5c5uxobOvMf9uv7CuID18RH1bGBcaabbMtp2P3fF/LaeNygfC2HNTpxg5vrGx4d1C5zUI3ToSBqXqbr+XT2D3f13rWUL7UwB8ASpJRhhGdi1njoXNjOENAxUk0EIaKqWbrbHMsVXH5tLF669LXJBhgZw56N2aFVMOzcNUVNwd300CoGqba7b6mkzF6uDTYBQzL5diWvoxj4J585q3+WIn7V334gI1qJgyM1Vv8VxuxGJODARWPWx7qYYrmtw65mftt6FcxSxX8qk85QKeD4cAXrlWmJwMTwzF5uqLMXj5jqt2+7IX3FzK/6ovV8OjXfcrdeUy8HMgVJ2bGA5ylEBhWsnfF4uGzzadMdTtCufJ+G3qzNyYuzy/DuwPK/jjJdegExpTIFZTFaGf97OUzXGkdGJavUbm/kHmzN1Yu781efH8hVUU4IGRcuyVGqQJ/d4shLZtNzVr2yn0FzHuDij82hQ1v9ir3F8bN8IjKV01M9bfMNn4SiyfPNp001d0SypX35DOnR2NyNPn7dlyXTk+cCBtT/a2xUkXjJ0LN8gN/ANiYiXxyTFrMtDixT4aN9MSJMDHVxVAVpvpbQ7lyjQlq02LSgNvph9Oj+J542EEYJG4MjQtM9Tu9MRB3YGRAmfXwtspQLk4wwN7cmGRHX+9RHiyiggkbU+0tvtZzOKDyVj7F5xG7WvjFdxDOBQE8WIRe71Hf5f1PD/6DQrqdJmyEivXSyIDsmlD5uRjPNp0MMRACwINFzOs96vuKt/qVO6xMHG2noX5NTfj8MghI0lCPuo/1Xjphqr916crAuXyxCP2iW2Vx+2X4TT8NhJHAJqdx1iLV+y34mj8VyuqXrgycy4NFjOqqAIDXupUvFVNVhA1iDabqrapPCv3dLUxi6s3nkCzGF4rQW33qZ0df61a+VBRPoyOqYFVByLTuNm/DMXWf6m04bl6/K/Tr7ytgPh3B4z41bXh3UKlLR5ZQvS7lBszrd83GQBWm9beFfv3WbDQrQ+OkmpPCxknslWFrdjy5PP1gWr9LdV8x23DcHI4qrGZUm65y7ei4D06N4PviqpggnmyNC8wbd882HFOxbYRk7wJZ4m0Vod+SYIB78plfqprxeKUL/1EJVUuEmNbt9F05j/2qnRavzLjEvjZTaAuEQRDAV4rRK51qquLVLuUrxTQvGiHGivXyxLCKtaNYDngbPzFv2B3WXX9UwrzSpebw6PUe5Z78eMqLAg2EqsNZi5Bg8veotrPee+5D88bdoedFgxwsZV5Wz+W5RPjdIM2LRg6TkMwX1cw2nVLrgd6GY8bqrTcfNbc0D5Uyr3RhtXbWKxhe6cQPlVJVRArDmtbf5j1/VK3n+a+c57Lz2PTssO56sIj53aCi4s76lzqVg/GmijgzNy4wb97rPfO+Os9SZG/DR+ZNe8K9765c1O3GnW51fN5r3creXCYtPK9LuYGELXs851RSBYD33AcJm/eGe1d1GsoxwVGVqgQ/HMLZJqhOoxPCyDFv3uM994FaCSTPmffNW8JWRboAe3NVSyBddeFuN75L90fSz4MGQvUxb9oz23xKlTzYbOs5Q2Zu6Evf1zEwcLCU+elVdcT906vKn5RRqUSFsXqbNNQTmByJ/lHSUI/scQll6yK498/KmcPqqeJPy6kqooLPL0cc7+9uif5RyozL39loWhfGAuF1/qycOdyujip+dlU5WMoY4k0X8WZvPMAmpwkltd6LJ6J/lOfTdxK2fS6ye/+8gvnpVUWKWt6XnXjAA/fQRtvRgQyceeMd3tPvRv8oz6fvJGy5K9xseZCvlDDvDCjRF1JN+OHdQeUhumwcNQnb7vZ8+k70z/Gc+8BUsz30KuK5fC4PDXigJeptpgEFft6Bv1YRf6qIP4vjgoTt93hOHYnyIbJzVOxti2yIBwBVqagsGUXfg/vf25SvVSCWxsGoSdh+j+fM77AciOYhWPR5G45FPDxKE+CAjfl5R7Sq+NlVZX8BzZargHnzHt/ls4rHHdVTMPacejthx+cju5tF8LUK9P/aolXFr/uUshSoTI0/Z0EDYUwwVm1SPNNif3s0D5k5ecS8eW+4BRFz+eZa5vnWqMQ9LcErXcrX43CIp0O4nAJDdt5sdA1pveePCiU1oTTQWoxvrmVeaIvqMAoFwwttyl9VUVWoAGNOMtXt8ESXKvC1NyDByBdWRfyEr1cwr3Qp09F1ffhJa7yqIi6NjgMQSty5b+b4ryJ+ABb9ntPvJt66Lxor/qCQ6XBDUxRbxw63K3fmMrkJ8TfE0yeJOw9EowrAeObErxJ3HojGhi1ZKNMIv42i99Bv+pVMI90+qBqJOw/MfPybaE4znTkerSpyE9BdeVGtFDZO4k43/EF8dp2NS6PjAvO2u31XLsiTo5Hd7jn7O6G42pBpicYGjoG/rmZ+2BShuAMKPHdZeaSGikQ1TDXblBmXGOnuGl/bOTDwQll9lGZ8p4b5YXPkLu+Hzcp3qCrUg8srMWRZvRePR3a75OiV7F3mjeFtH7yZ79Qwz11WApHq4odNyl9Xx81xE/OIT6vjAcZoTth+z/RHr0dwL5YDM0dfT9rzpejN+EYl886g0jMdyaTw1W7FlkgH/qrCMEl3POh+/xeR3e1+/xfJaqjiC0XMkBc+GY5EFR8PY4cXvkA3lapK0p4vTX/wWmT7KKY/fC1x1/0ohENIlmZzFipMhFcj6sPXM43fGVC+URmvqohXu+OCpNsf8DYck6fGw73Re+4DQ1ZuiF22lyaFh4ermB9cClvcMoYfXMKPrWejt4EyF/OWO6WhHnHgarg3+tobFK879H7KS8Ai+Pt65vsXI8nF/dNF+e/rGVo8pS7Gyo2IE2abwm49Ghgd9F1piHIN5TqPrWf/5aIihx+O/+WS8ldrmRReFSsIQANhDGESUxO23e1+77/DugtLovu9V5Lv+apaZnynhv11n9LuCk/drw0KVjPssVKHpzLIwCXf9RX3b38W3m0Yu4/8PPnug8Co8539ahnTOw0fhrm5/ugQ7psBuqk0FiR//quut/8r3JVC19s/T7r9ASSoczraHVZkNUO4+4+vuvCv+5Tv1MTxoJkKOrYk7f2Sr+W05OgN/ZaZY2/wBRV8oQrTwSBpAvxtHft3Z8MQ94wEz7Sbn9pM5RETzFvvCjhHfW3nQr/F23AMAJsj3UtzMxwDP9jM/O0ZOfThv4zhf52Rf7Ap/rZLxwXGyo1sSubMqTD2FIo9rWLvlcRdD6hoxtNb2H9sUGbCKR/921qiixIAAAoUSURBVLPK39Wxcb2Xhio6tjCmxKS7H5p6/fkQs//y5Oj0sTdS9n9NXTO+Vc1cmcJHBkL1ed9vkHdlSZuz6HQwJiDWkPrAN6be+HcshdThUfF5Xb95MfWBhyPbRL8YXyxiknn495B3j73QpqTyQFvOxo7UB77hfvdlZWYqpKsV2fn68yn7v4Y4NTOSm7PQXiv6fkOoE9MjA/jKFP5WdXyrIr6tjwsSd9yL5cBMKPvrMXa+9lzS7i8YMnLUtUFg4YVb2G+elKdCcLxnRvHLncrjVV51baDMxVi1mcsrcb/7UigXu976T+PaLXzRWtXNeOEW9vsNcm8ItVS90/ifGuQXbonj9Jf+4SyFCVvvdL7+fCgXTx99nU1KNW+4XXUzntnCvtypnB1bXhUuEb55Un7hFlaIc13QQBh7EEp/6H+733l52QTp9LE3FP9s0h0PxsKKO6zogA395cfLZMJcIhw8Jj9/C5vBq3+IK2UuaQ8e8l74yH/14tKXzTZ+4r96MfXA12NhQ1Uq+m49+9AxeelWfJICDx2Tv1fPxmPTkPgi+e4/DowMeM68t/RlYu+VmeO/SvvDv4mFDdkm+MkO9qGP5KWPpMAAX/9Y3l+A7oj/SoLPAqEsy5WVN6xLOZ3Offv2paen79+/3+l0am7bysGQlZv6wDcm/vP78vSi/42+tnMzH/1Pxle/B0ysBlf/uoXtm8H/fHFRnycp8OWjgXsLUJzuio0vmITk9D/+7uRLzwRGBha7RhrsdP7yJxl/+g9qVUPczHdqmSwjeviTRUdIGOCvTspZRvRILVVFzEEcn/Gn/+D6zU+X6MQtT45O/Oyf077ySDQNhpbmC0XM5/PRl48Glhgh/ctFpW8G/+vWOJ8MAsD1QPjcc8/t2LGjvf2GlmBPP/20zWZzOBwFBQXPPPMMCfNWDuaNu81b7xp//nsL7qbwtZ6b/O8fZfz5E2xaeGeJhYXAwq/vMvxXh/JU4wLqng3Alz6UTSz64ZaVoOy4QCipTdn/tbEXHl0wWyD2Xx3/jyfSvvwtLq80djYggJdvZ1un8KFTCxTOyBgOnZJbnPjl2+mOCY0wrMnP+Op3Jw7/s7+z+ebfBsYdY//3u0l3fNG4dktMzfjRVtbIoi99KM8u1Bz3qUbl5x3Kr+8yGFeEt7gWCOvq6h5//PF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"\n", "\n", "y1\n", "\n", "\n", "\n", "y2\n", "\n", "\n" ] }, "metadata": {}, "execution_count": 5 } ], "cell_type": "code", "source": [ "using Plots\n", "x = range(0, stop=6π, length=1000)\n", "y1 = sin.(x)\n", "y2 = cos.(x)\n", "plot(x, [y1, y2])" ], "metadata": {}, "execution_count": 5 }, { "outputs": [], "cell_type": "markdown", "source": [ "### Custom processing\n", "\n", "It is possible to give Literate custom pre- and post-processing functions.\n", "For example, here we insert two placeholders, which we will replace with\n", "something else at time of generation. We have here replaced our placeholders\n", "with `z` and `1.0 + 2.0im`:" ], "metadata": {} }, { "outputs": [ { "output_type": "execute_result", "data": { "text/plain": "1.0 + 2.0im" }, "metadata": {}, "execution_count": 6 } ], "cell_type": "code", "source": [ "z = 1.0 + 2.0im" ], "metadata": {}, "execution_count": 6 }, { "outputs": [], "cell_type": "markdown", "source": [ "### Documenter.jl interaction\n", "\n", "In the source file it is possible to use Documenter.jl style references,\n", "such as `@ref` and `@id`. These will be filtered out in the notebook output.\n", "For example, here is a link, but it is only\n", "visible as a link if you are reading the markdown output. We can also\n", "use equations:\n", "\n", "\\begin{equation}\n", "\\int_\\Omega \\nabla v \\cdot \\nabla u\\ \\mathrm{d}\\Omega = \\int_\\Omega v f\\ \\mathrm{d}\\Omega\n", "\\end{equation}\n", "\n", "using Documenters math syntax. Documenters syntax is automatically changed to\n", "`\\begin{equation} ... \\end{equation}` in the notebook output to display correctly." ], "metadata": {} }, { "outputs": [], "cell_type": "markdown", "source": [ "*This notebook was generated using [Literate.jl](https://github.com/fredrikekre/Literate.jl).*" ], "metadata": {} } ], "nbformat_minor": 3, "metadata": { "language_info": { "file_extension": ".jl", "mimetype": "application/julia", "name": "julia", "version": "1.1.1" }, "kernelspec": { "name": "julia-1.1", "display_name": "Julia 1.1.1", "language": "julia" } }, "nbformat": 4 }