{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Cyberpunk theme for Julia with Makie\n", "\n", "Porting over a matplotlib cyberpunk theme for Julia with Makie\n", "\n", "Original article: https://matplotlib.org/matplotblog/posts/matplotlib-cyberpunk-style/" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "using CairoMakie\n", "\n", "# CairoMakie.activate!(type = \"svg\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Theming in `makie` is as simple as: https://makie.juliaplots.org/v0.17.3/documentation/theming/\n", "\n", "```julia\n", "fontsize_theme = Theme(fontsize=10, resolution=(300,300))\n", "set_theme!(fontsize_theme)\n", "\n", "f = Figure()\n", "lines!(f, cumsum(randn(50)))\n", "```" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "After taking a liking to matplotlib, I started to revisit Julia's `Makie` package because it felt similar in how you constructed a plot. But I wanted to make the plots look better just out of the box, and the way to do that was with themes. \n", "\n", "Let's see an example:" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "Scene (800px, 600px):\n", " 18 Plots:\n", " ├ Combined{Makie.poly, Tuple{Vector{Vector{Point{2, Float32}}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ MakieCore.Text{Tuple{String}}\n", " ├ Lines{Tuple{Vector{Point{2, Float32}}}}\n", " ├ MakieCore.Text{Tuple{Vector{Tuple{AbstractString, Point{2, Float32}}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ MakieCore.Text{Tuple{String}}\n", " ├ Lines{Tuple{Vector{Point{2, Float32}}}}\n", " ├ MakieCore.Text{Tuple{Vector{Tuple{AbstractString, Point{2, Float32}}}}}\n", " ├ Lines{Tuple{Vector{Point{2, Float32}}}}\n", " ├ Lines{Tuple{Vector{Point{2, Float32}}}}\n", " └ MakieCore.Text{Tuple{String}}\n", " 1 Child Scene:\n", " └ Scene (735px, 541px)" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "set_theme!()\n", "\n", "function example_plot()\n", " f = Figure()\n", " ax = Axis(f[1,1])\n", " x = [1,3,9,5,2,1,1]\n", " y = [4,5,5,7,9,8,6]\n", " scatterlines!(ax, x)\n", " scatterlines!(ax, y)\n", " f\n", "end\n", "\n", "example_plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "On my MBP, the default theme with makie isn't aesthetically pleasing - the font size is way too big and the figure size is massive. Let's fix those with a basic theme:" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "Scene (640px, 320px):\n", " 18 Plots:\n", " ├ Combined{Makie.poly, Tuple{Vector{Vector{Point{2, Float32}}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ MakieCore.Text{Tuple{String}}\n", " ├ Lines{Tuple{Vector{Point{2, Float32}}}}\n", " ├ MakieCore.Text{Tuple{Vector{Tuple{AbstractString, Point{2, Float32}}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ MakieCore.Text{Tuple{String}}\n", " ├ Lines{Tuple{Vector{Point{2, Float32}}}}\n", " ├ MakieCore.Text{Tuple{Vector{Tuple{AbstractString, Point{2, Float32}}}}}\n", " ├ Lines{Tuple{Vector{Point{2, Float32}}}}\n", " ├ Lines{Tuple{Vector{Point{2, Float32}}}}\n", " └ MakieCore.Text{Tuple{String}}\n", " 1 Child Scene:\n", " └ Scene (581px, 266px)" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "first_theme = Theme(fontsize=12, resolution=(640,320))\n", "set_theme!(first_theme)\n", "\n", "example_plot()" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "Scene (640px, 320px):\n", " 18 Plots:\n", " ├ Combined{Makie.poly, Tuple{Vector{Vector{Point{2, Float32}}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ MakieCore.Text{Tuple{String}}\n", " ├ Lines{Tuple{Vector{Point{2, Float32}}}}\n", " ├ MakieCore.Text{Tuple{Vector{Tuple{AbstractString, Point{2, Float32}}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ MakieCore.Text{Tuple{String}}\n", " ├ Lines{Tuple{Vector{Point{2, Float32}}}}\n", " ├ MakieCore.Text{Tuple{Vector{Tuple{AbstractString, Point{2, Float32}}}}}\n", " ├ Lines{Tuple{Vector{Point{2, Float32}}}}\n", " ├ Lines{Tuple{Vector{Point{2, Float32}}}}\n", " └ MakieCore.Text{Tuple{String}}\n", " 1 Child Scene:\n", " └ Scene (582px, 267px)" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "cyberpunk_theme = Theme(\n", " # teal/cyan, pink, yellow, matrix green, red, violet\n", " palette = (color =[\"#08F7FE\", \"#FE53BB\", \"#F5D300\", \"#00ff41\", :red, \"#9467bd\"],),\n", " backgroundcolor = \"#212946\",\n", " textcolor=:gray90,\n", " resolution=(640,320),\n", " fontsize=12,\n", " font = \"Arial\",\n", " colormap = :cool,\n", " cycle = Cycle([:color]),\n", " Axis = ( \n", " backgroundcolor = \"#212946\",\n", " topspinevisible = false,\n", " rightspinevisible = false,\n", " xgridcolor = \"#2A3459\",\n", " ygridcolor = \"#2A3459\",\n", " bottomspinecolor = \"#2A3459\",\n", " leftspinecolor = \"#2A3459\",\n", " ytickcolor = \"#2A3459\",\n", " xtickcolor = \"#2A3459\",\n", " titlesize=16,\n", " yautolimitmargin=(0.05, 0.1), # Leaves room for label text\n", " ),\n", " # Note in order to apply specific settings to plot types we need to use the Struct/type\n", " # so to theme barplots() you need to use the BarPlot type\n", " Lines = (\n", " linewidth=2,),\n", " BarPlot = (\n", " cycle=Cycle([:color]), # Interesting that I have to put it here\n", " label_size=12,\n", " )\n", ")\n", "\n", "with_theme(example_plot, cyberpunk_theme, )\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Note in order to apply specific settings to plot types we need to use the Struct/type so to theme barplots() you need to use the BarPlot type. This wasn't covered in the documentation and it was weird that I had to repeat the `cycle` call for `BarPlot` but not `Lines`, so maybe to be safe you may have to repeat yourself here and there.\n", "\n", "Next, let's temporarily add the glow to this example plot. This is done by repeatedly overdrawing the lines and markers (with `scatterlines`) but with a slight dodge effect with a very low alpha\n" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "Scene (640px, 320px):\n", " 18 Plots:\n", " ├ Combined{Makie.poly, Tuple{Vector{Vector{Point{2, Float32}}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ MakieCore.Text{Tuple{String}}\n", " ├ Lines{Tuple{Vector{Point{2, Float32}}}}\n", " ├ MakieCore.Text{Tuple{Vector{Tuple{AbstractString, Point{2, Float32}}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ MakieCore.Text{Tuple{String}}\n", " ├ Lines{Tuple{Vector{Point{2, Float32}}}}\n", " ├ MakieCore.Text{Tuple{Vector{Tuple{AbstractString, Point{2, Float32}}}}}\n", " ├ Lines{Tuple{Vector{Point{2, Float32}}}}\n", " ├ Lines{Tuple{Vector{Point{2, Float32}}}}\n", " └ MakieCore.Text{Tuple{String}}\n", " 1 Child Scene:\n", " └ Scene (582px, 267px)" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "set_theme!(cyberpunk_theme)\n", "\n", "n_lines = 10\n", "diff_linewidth = 1.05\n", "alpha_value = 0.03\n", "\n", "f = Figure()\n", "ax = Axis(f[1,1])\n", "\n", "colors = [\"#08F7FE\", \"#FE53BB\", \"#F5D300\", \"#00ff41\", :red, \"#9467bd\"]\n", "\n", "x = [1,3,9,5,2,1,1]\n", "y = [4,5,5,7,9,8,6]\n", "\n", "scatterlines!(ax, x)\n", "scatterlines!(ax, y)\n", "\n", "for n in 1:n_lines\n", " scatterlines!(ax, x; linewidth=2+(diff_linewidth*n), color = (colors[1], alpha_value))\n", " scatterlines!(ax, y; linewidth=2+(diff_linewidth*n), color = (colors[2], alpha_value))\n", "end\n", "\n", "f" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And here we have a decent start towards a better makie theme!\n", "\n", "We also added a colormap in there, so we can handle continuous values as well:" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/png": 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mTbjjN5eNy05fs7768Wfe4LhBf8ZtN//q/F+c4n59qKb+6hsfDPJRxIDdTKamX6i6rJKukqwNZMAYcKfY9p7zvxuE1aEchRhwDEEMWBHUlHah4fQTk84JFKgV6GJs5RpebLu7XyBrccYAMWzAGrXq/f899dTf/rNj58F77rz68NGmf77xge8Gzz1558q3v/jxp32hfBox4MXMKeeyF+dS+cE387vsLdj8PfflV9zHvXj4GYpeiAHHEMSAFYQC+vik5WenXKGhdL7lwfuieMx91f/m6oFVLuyMrD7C2FDcgIP1sQRn5oyJLW2da9dXA8DLr6968pHb/Ay4uCjvaB1JZzg8hVTp3ZqH01HGiPayY9ubrtfXc986wBEhYQRCgiOCsM708TrTxzP1S05JOr9IPT6UvRjELk+9/JTk/9tk/vLjvldJKnVCIEZvwPl52Q2NnnzlTc3t2VnpWo3a7vA88Rn0upRkw31/uHZyVXlNbcPjz7zR2ERyPviTglIvYC87hTkdUKgRVghDD/R8y3/+ofNNMs5EIMjDduu67dZ1JZpJ56ZeW6KZFMoualp3Usp585JO/UfbfXXOA5FWSIhFRm/AOq3G6fSs28VxPMZYpVZ5DbikJM/hcL3+34+P1jVfecmKR/5482XX3o+xxzAoigY0aK0ehBAgRNH+a9bGK1rQX0pfeTxzkgpUAAA4pCDnXcJPHwrvHRT3AgCimZHMSxoEomhAVOKc7ZgGIQoggS6NaKaBq3228/dTtfPOS70ulckMZRcdZfht3rMbzJ990bfSHjQ0kqAACFEUAyOa4hkUUeBGtP3oDdjhdKrVnnxMLMsghByOYwMee/bWnrriRvfrl1597/xzTsnOSmvv8AQmIIpmmEELlWCMKYqh2GFW0IsDEKALqF+dCWdRwy0X6Es91L0qvtQAdUADS2vHqgEhQBTLjvVzCPKAECJfVvRwgN/1564bi9jxpyddVKGaIrmN7/M0ArTYeNZ8w6mbbF99PrCSdFxFDxSigFHTOGzfiFM2A25q7li8cKb7dWHBuK7uPm+D2P8YDI0QcrmODXQLvEvgB23MsDpRFOI+CKsYld6ovr0EyodWIalGMAZcLx5Z6Xp1j7AjjDJIEFYM4Q7CcjpMSgshDKLGUV1jrp6gnXFF1t2GEJJLs0h1gv7s6eoFf237XQ/XIYNCwrAoHoRFp2aWjW7P7u6+X195blt7d1+f6babfrVj9yHfgOcTjp/9+J9/s2PXQZeLu/n6i+x2xwefBJsh4+5hE8WRPT7EEAYwXMpee73qt2lUesCNBhkw3sZvftb5yCruzU4c5uFziqIpihEE6QcmQlSBEMUwap4joXbRSDff/t3AexhBvqrMm6E9yHCShtItSjrTKprdWTsIysIwGlHksHJRcqM3YJ4X9u4/ctOvL7j6inMamtqe+/ubvCAAwCfv/bWhqW3D5h1Gg+7WG3955SVnm83WPz/+qt0eLCI/jg0YAbpWdctvVfdU0BNR0GAr5Pkf2nDLI467P+c/NOGITD4hBhxDEAOOfg47dq82fWATzWWaKpoaZrSeQvRk3dzjkpY2OGv6+S55FBIkUdyASSasyJKNxt2rfiRnuNm9Xrpw59vcf9bz30ZUFemCjiHIPOAYQk8Zf537cKlq4rBbYgQY4Pv+dz/peU0GYQRJYrgLOrzEXwuYQtSZzDl3qu9PQWmhBNm149aXXc+94nquQTwScW2kBRw7kBZwDMFh107hx4OmLUXqCQY64MCwu48aAZRqqvJVZYfs2zlMLkYFULwFTAw4Isygj3tQ9cR8+nh3Ollv37IkIojvuv77nOvRRlwvjzxiwDEEMeDYglHpuuwNG0yfdnGtE7QzGeTfI+03QpytKjg++SwL7m92HpZPJQEAosCASRd0mKEQdSv7h0X0CUOrJIOcDwn7nnM91o1lHQoiXdBhBCGaVRsYlY7VGFMyKtSGNM5hFXmHISVfl1pA0yq7pQsLnCGtiNUYBd5lHWhVqQ0aYyZClMthsvU1sfp0tS5Z5DnLQKvD3K4xZNGM2mHt7m8/yAt2lToZgdjTsoezm3ie2HC047sako4y3JTzWKG6wneDQCFaB2zVL7ffT9JmyYniXdDEgMNJNhr3W9U95VSlZK3fhbdf3POa6++NYp0cygZDDDh0EEL65PyU7Ami4FKrk9PGVSVllNKMWhQFmlVrNKlAHZvPHST8NSxVGGPAWBSc1oFWp62PYtWc09zXsneg45DT2uOwdI80DwAh7AxdjrBKN/fCjFvciTuC59updxx8pf0BizAQaZEEN8SAPcSBAS9lzrycuVaDgiVMcF9+HHAvuZ7eyK9Vako+MWBJVGqjPinXkFowrmSBMaWIZjSIptXaZDQ4ZUrYXXZ0O0qWY1Gwmdoc1h7A2Gpq7Ti80dx5xGUnAVzyIbkeMEupz065YknqucPubhfM/+56Yr91W8QEEo5BDNhDTBtwJsp+UP1kFsoOZeMafOBR5wNmrGReBWLAAJCcXp6dN5PVJql1KZl5MzXaNN+M3FHisqOrGtJuFgTeZetrbj+8wWZqt/e3mjrJJNRIIWnAbqbrF12a/QfvdGFJ3N/dFtNXb3c+GyGFBC/EgD3ErgFXogkPqp9kgl5UbhrFuhe5Zw+Lh2RQFZwENGCKYjJypuWXn2hIyqFZnTGlADHB5mtGv8uOrspdjrFo6W2w97XazR2dRzb3t+7F4cvGl+AEMWAAYCn1JZm3zzAsDhSW6f3ifjR992bX02RIOKIQA/YQowZ8Br3iCvY6GuhhbsqA3+P/u4p7RwDFvmlfEsKAEUpOKSqetDw1e6JanazVpwGi/TaR0xFHXRvew0kWiiJvM7U7Ld29jTua93zOOeL6hxFhghuwmyr93Kuz7x82QPqwffcrbQ84RXvYRRLcEAP2EHMGnISS72EfqqAmeEsC3Q3t2Pao8779eJ90tRLEqwFTNJtTtKC4YpkuJU+rTaUZDchrpdFgsaM7nG+hyz7gNHf1Nu1s3PGBw9IT7BiEIYRiwACQweb+Lu+vfnOFh341LtHxfPMdjS4yZBARiAF7iC0Dnoym3a9+hIFhHmBFEL/lP3+Ne0kEQT5xIRBPBowopqj85NzSxfqkXJ0xm1K0mRs9Tepwmb3LaXaYOjprNjbu/EjgSFNseEI0YABACJ2fcdMi43J3htpAX42A+Seabmx3NYRXJwGIAXuJIQOeSc25W/UgBf43ejfeq6hDbH2Ge/SIWCOfspCJAwPOzJleUHaiMaUgNbOSohiFTRFjnrM5bf0UqwYEnNNs6q7DWNDo0gXRZRtos5k7WI1Ro0vleIe9v9XltBpS8mhWyznNLseASpuiT84FRNnN7RStSsosY9VGUeBcTpMhtVClTaEQLSKRptUIyTflya8cY+w0d1q66hq2r+pr3h3wUxKe0A3YzSTdcdfk/pEOujCdHVv/3nJXkyMabyYxDTFgD7FiwGcz511GX+N7H/TDfbfaJ+76i/N+JwRbf0JBYtSAaZrNzp+TmTejqHwpM3h93Ih2JmNRELHAOc2m7iPmvkaK1fCcra/jgLW/xeUwuZwDWIxgpIxvLmhGrdcashhWy2qTUrInGLMraFYDomhILVBpkr0zkiPdQ+5yWUxthzprN7Tt/YpEb/kxUgMGgDx1+W/yn1YjTZBtBCR+0PnixoFPxyyQcAxiwB6i34A1oH1I9UQZNT74Zjzw7worV3FvyaNqdMSWATOMJqdw/oTpvzSkFqDhYkdHWus/asC7TP2N5t56DKLN0tnV9JOlv0nZExX6Ygw0o9YmZetT8jNL5xnSimhGw+pT1NoU323C1TXtaRYLXNeRrV2HN3bWrBMj+RQSQ4zCgAFAQ2mvy32kVFMlWev9ClZ1vrCBeHD4IAbsIcoN2AjGFzRvGMAYfLMjYs3T3CMd4V6+N+zEhAEzjKZy+sVFZadodGneLocwdq5iLAq80+kc6G7b09Gw1TzQZO1vFsWoCFP3ZYyrISGaTR03UZs8TpuSm122UJM8jqLZoc8xozPgY29Fof3gmoYf37X2JPpQ5egMGAAQQudm3LA4ecXQKu/Zxlh8qfWeGtuOMYokuCEG7CGaDTgNpT/G/jUDZQVvZq0Xvn+Re5aDGMgFGM0GTNPqiqpzcvLnpGZNRFQ4I6pEgXPYepz2/t72fc1H1gz01kWh3Q4l7MsR0ozakF48bvwJaUUzNbpURpsEQZepDr3RjBEInL1tz9dHN/+Hd1rDpDfGGLUBuzk/48bjUwZ5sN95FrDwv44ntpvXjlYg4RjEgD1ErQHnofwH2McyUab7rXRrAPBH/Hsr+ZhZ1zM6DTgltXT8tAsLihcHCTUakQFjwDZzh93SaRpobDr0TV9PbUQHayNEpNcDphl1RvGc7Akn6lPztck5NKP2Vo16njHG2NbbVL/1zY4Da8KrNvoZowEDwLzk0y7IvDVIdgEM8HbnM1sHvh71IQhuiAF7iE4DPoE6+Wbmdr+ZLX5XhQkPPO7600G8X1ZlYyOqDJhhtdPm3VBQtNgvrsrLiDwYY8Ey0Gw1tXe2/NRQ8w0f+zNnIm3AfqTkVOVWLTVklOgzS3zN2I8Qs3w4bX1te7+p/+FNMWGWUxy7AQNAqWbyTfmP0yhgaDTG4uON15O5SWOEGLCHKDTgRdSS37J3S0b9eG80teLBx1x/6oc+WZWNmSgx4Jz8OaUTz8rOmz108q4vwxswxlZrp2Wgufno2uYja+NsnWOZDdiX9MKZOVXLjJmluvRC74WAESA8sn5pjMW2XV8e3fA657REUm9UEBYDBoBK3czrcx8JMuHCKgw80XjDAE8ypYweYsAeos2Aq6ipf2IfowNM9gUAjKBWPHi/646YGPT1Q1kDRggVlJ4047jrVeokb2HovZ3e14LgtA60Nh7+vu7QF5wrbkccFTRgLzSrzp++Iqt0gT6rhGE0Iw2l9vRLAza31ez/7FH7QFukhEYB4TJgACjTTrk+7xEWSfdDYARO0faX+mtMxINHCzFgD1FlwFOo6feyD6sg2PoKP4ibnuAekk1SeFHKgFXqpBnzbszNnyfZ2xzS+C4GnrO1tmyr3fVuf++RiKiMMqLBgI+BUGbZgsIZKwzZFYxK51cZUrw04L6m3YdXv2TtUmAlbBkIowEDQI6q+LeFz6mkpgi7T+wA1/1g/SVkNvboIAbsIXoM+Ex6xVXMDYHmmwIABuFF7rnvxRiOgJDfgFmVYcKUCyqrzh8a2OwlePvJbus5vGdVU/16u7UrMhqjlOgyYB/SCqaXLrzMmFVBMaqRBcchAICu2k2HvnqGd8Rbp3R4DRgAyrRTbs5/0u+O5HtW1/Z/8HHny+E6XEJBDNhDlBjwcdSCu9g/BtlABPEx7k/V4lbZJEUCOQ1Yq0ufv/ie9OxJ7mXtRzqPyNTf2Na8ta7mK8tAc8Q0RjVRa8BuEELppXPLj79amy6dJiVYs1gUu4/8sO+zv2A+9sZxAhF2AwaA6YbFl+XcTUHA2QEfdL64of/jMB4xQSAG7CEaDLgAFT7N/N29XHag6UbPco9uFNfJrSzcyGPArNowedqlZRPP8subHcoIIuey9nTu2/vTG/29RyOpMQaIcgP2Qqu0eVPOKJ7/K0atd5eEOFQs8M66Df9qrv4gwgJlIhIGDACT9Mf9OvchHGDGNgb8SvO9B20/hfegcQ8xYA+KG3AGZD6pej4FUr0lfrcJDrse4x/cIVbLrSwCRNqAKZqdd/wf8gsXBcrwELhVhPt7j+764R9dnXuADGsBQOwYsJeMsrmFx12YkjspoFtIdUo7zd273rrD3h/z8VkRMmAAWJ5x1clpFwaqtQvm+49eJOAYyC0TPShuwHRqZplSx/aFolkAEEVleqLGwbjnVP/0yzSJPP8DAFjAfC93+8FoWtN3LFAUTVFMRKbrIFQ56dzFJ/85Jb08WH6lITV2e0/Nnvc2r3348L4PbdaO8AuLWRCiGEbNx848WltfS9ver9sPrNam5mmSsyUm0gz9Xe3YNnEAACAASURBVCBg1Lq8mSv0mcXdhzfF9LMXo9JFaN3GGtuOUu3kdDZHspal1FracMD6YyQOHa8wjEYUOYwVy89DDBgYYF5Qva4H/dAqtwcLWLibv60Bx0/QZoQMODd3zrLlL+QWzKdpFgGgwQ8xvnjLMWCLqXVX9T9/XP9EV8cekY+rKbxhIeYM2A3vMHccWN1UvUqlTdJnliCKxghQoH5pdyFC+oyi3Fkr+o5Wu2wxNrfeS+QMGAC2m1dX6KenMlmStYXaCWahn6xaGDqKGzDpgoY7mXsXUIsD1YqAH+X/VC3+IKekSBP2LmiNNvW4+b/NyZs71G4D9jZj3Nr0w45tL9osneGSEZfEXBf0UBDF5M9aUXr8lYhmJTcYmmulfe83NZ8/LYe4cBO5Lmg3Osrwx9L/qSjpiUkCCA8cvtAuREWSu+iHdEF7UKoFfBZ1ztn0eYFqeeD/zN+/XYy3Xp3wtoCnzLzy+BMeMCYXSE/dGlLIC876I99u/O7+utqv4jiBRriI0RbwILBoaj3QtO09Wq0zZpUjaphOaQRgyC7Lmry0u3aT4FR+auKIiGgLGAA47Gp31s9IOtHvwnI/xFBAZapyd5rXR05APKF4CzihDfg06qxrmRsD1WIQH+X+uAPHQ9SVH+EyYKMx98RTnygoOj7E4V4sCvVHvlv79Z0tDZt4PpYdRUbiwYABAABjsbeuuqX6A31mqS41z/ubCTRRmNUY8matsLQdsve3yqt0TETagAGgk2umgCrTTXW/xWjQVZatKqi17+rjSMfS8BAD9iC/ARdB8b3sQ0ESbqwU3lgtfiObHjkJiwHPOu6muYt+r9WkhTLcK4rc3u3/2bjmj80NG7EojOW4iUbcGLAbUeQ7D6xp2/1laslMVp8avNcEISqz6iSa1fTXb5dR45iQwYAB4Ih99zTjYj2TLHUC0TTjojX975H0WMNCDNiDzAZMIeox9lkjGAPZxhZx46vCi/KIkZ8xGrBGk3zSsqfyCxb4Pb5InkwRhPaWH7///LaO9h0YE+sdMXFmwG4El71152f23ta00tkUPWjNH+zfHY2SCqqM48Z37Y+NlQ3lMWAAOGTfvijlbMkmBINYNa07ZCXTgoeBGLAHmQ34IuqSedRC9+uhtrFN3PI4H6t5nkNhLAZcXrn8xKWP63SZ0tWDz2Rby7bVX91xtPZLpSaYxQFxacBurN11zdWrksaN16bmuksCxUhr0/IzJixu3/UVKHevDBHZDNgmmDESK3TTJWtzVMXr+j8QySNvUIgBe5DTgE+gTr6avsH3SvftQW3CjQ/ydwsQzz/cURowQjNmXzd1+hVBlkjzGrDN2rll/aP7dq8UyFjv2IhjAwYALIod+1f31W/PmnQiogMsf4sAAFS6lOypS1u3fxLlHiybAQNAnW3vjKTFejp5aBVNsQY6Zb8ltpPmRhrFDTjwnTROSUNpt9B3SD9nYxBAeIi/1wVkNqo/On3mil/8d8KEcxEGFHRoCWNh+9YXPl11aVtrvEWPEyKEqWX/lhcuNLccCL6Z2pg556aVtNRSWokJBvxO218lqxCGeSmnJzPpMksijIiEM+Db6XvowH/13/lnujGJHvTHmJS//KzXdPpj3c6SNowBujr2fPL+JbWHPpVVHyH2EVz2HStva9i00m8GrV+ntEqfOvO6VyUmMiUqdY59NVb/CDWMACNAgM7MvFoRVYQQSazf8WRqahWaEqgB96745hrxO3kVxQAV45efufwVmpFeFdyLIHIb1/5p9dd3OOy98ggjxB8NG/+7442bRZGHn11kKGpjxoxrXg428y3B+G/bowLw3nPle9KmGBfSKEDHPiEKSCADViPNXdQDbvd1N+B8nbgejr4t/EcpbVHL1GmXzz7uliCL+LrpbN/9yXsXtzRtkUcVIY6xdB7e9o/LXI6BoVVea9FmFE666M+yyopirIJpj3kzSD2yqCjNaRmXKyOLEAIJZMB/oh4xDl5uwQsG8VHhITFi2eNilFmzbpg8+ZfBt8FYrN76t9Xf3ul0kex3hPDgMvdsfeGX9t6WINuklswuXnKlbJKinFUdz4sgHUm0MO1smcUQQidRDLgESiehyUPL3Y3gt4SVHWLMr4MWXk466dHKCb8Aqd4CLzZb51efXn+45nO5xRHiHSzwP/3zakvnUXeTTrI7Om/hhYa8CfJri0Ksgmlz/2eSVWqkyVdXyKyHECKJYsDX0DcEqtqOq98V/yenmOhn/rw7x+XM9Cv08+C2tp8+/eCKgYEG+WQREgmM8Y43brR2HPG13sFOjCZf8gRFqxQQF3181/Wm5DKOGMGSjIDp7gnKkhAGPB3NmIymSlbxwL8gPCOznihnyQkPlZSdEmwLjPfu+d/a7+8hma0IkQXjnW/cZO8LmAuaptUTf/mInIqiFrPQ1+5qHFqOMEw3LmHQMEGUBEWIfwOmgfo9fX+g2u/Fb3pxj5x6opzZc27Oy5sbqBZhwFhc8/3de3aRgDWCHGCMt796Pe+0DO2FdpckF05NrQj4i00oPuv859BCjAAhamHqcvn1EIYl/g34YupyPeglq8xgell8XmY90UxV1YWVFWcFGfTleMc3X93a3r5DdmmExAXzzu2vXR+ku2X8irvk1BO1HLRWO7DNdz6S9/V4g/+IEiEaiHMDRoCWodMC1T4uPCwECB1MQEqLT5k+7SrfEj8PdrnMn3x0WW9PrayyCAQA10DXwVUP+5b4toZptS5/8SVya4o+MOB6+wGQilkr0VYpo4kQlDg34JlodjJKAanMTbVQswfvVkZW9KHXZcyb97sgGzgd/Z9+eq3TKTE7k0CQgd6aLT21m93WIhURfRFJzQEA33W/KVmuorTjDbNkFkMYljg34Juo23yt1/f1q8JLSqmKNhhWe+YZL0tm23CfLoej/+NPrnA6+uRWRiD4cGjVwwLnHFqOEVA0m79omDnriUCdba9LlF63Y0bSiTKLIQxLPBvwMur0DMiQrKrFNQfxfpn1RC0nLXmEVRkC1XKc7csvbuDlWuCFQAgEFsXDHz/uX/hzuzd33vlyC4pKOl1NkuUZbK7MSgjDEs9pQlfAOdIVGD8r+l/GCUt52WlZmVXeJGB+nXuC4Pz0k6scpO07atQaPGkiTJ0qFhVBZhY2GsCgB5rCFAMUwhQgAWOBAxcHDht0daPGRnrHLmr7DrBalZYejfQc2uSwdGsMGTDkt0qrdcaCSeamRH+w3mfekq+RyLyRqymVXwwhOHFrwEmQlIsKJKtq4FALbpZZT3SiN4ybO+c3viUIH7uvYRDXrL6HuO/IKCqGZafiOcfhzExQq70LJLtfuN9hBOjnf4EFQBoAwCgN8vLx9OnCirPd2wDHoc4O+qvv2M+/B5sSf0tUUvvho5Mve3poOUZQcOJV+/9zh/ySooqfBr47NfOyoeUqWpvCZvZzXfJLIgQibg14OVoRaNnB98W3ZRYTtSw5/o8I+Z8ltwdjgI0bHuno2quIsBgjLQ0uuRTNW4iTktyhQD//D+6uBYw8o+nuhxv3GfY+6wR8y7I4L5+75oq+a6/AAk/t2KX706NgSfSc2+bGvbzdzGgH5XV3nzpjPslMCb1chwACDcdCOryP1EXaicSAo4q4NeBzqP+TLO+Dvq2YLNoDAFBRdnpainSvFMJQ37CmsWmjzJJijIwM6oZb8MxZiGGxt4E72EeDg4Ju7FsLNCPOmWX5/H3sdGifeJb5bm1Y/5IYo3XbhwUnXDZ0qjqiWZUxzWVO9AUxrcKAkUkbWq6mdfKLIQQhPoOwFsBCNUinXlspviGzmOgEIXrW7BthyGRfN2Zr+6YtZJg8IOic8+m3P6De+B8cNw8xLAQ4jb7h934v/DhmtMN+iEZjf+Bu05rPhZkzRqk+9mnd/A78fNL8ZiVlzyaL/0CzXXqy/ng9SccRXcSpAVOLQep2xgO/Hq+VX08UMm3yJQyl8l0d2QvG4tff/lYysXuiw9L07X9gPvqSuvJa0On9UoYN67Lg4xm+b/1qA70d9OEMY/nbY+aVr4z0L4gPsMBzDhNInaKU8jkKCIoyzLx03EaumsRhRRfxacCVaKL7hd8tsgHqnSAxjzDRUKsM48vO9PMJ79udu99w2BO9E88fhOjf3MG+9zlafBIgyu+RJZD1BuqCDsWqg9e6BYjFRf3rPgNWYgJ33GNu2j/09GIE6tRxSsiJLqy8dMIchiIrR0UXcWjApVCWDdmSN69V+F3Z5UQjs2ZcPzT2yo3F0r5vPzlLg0AnLWXf/5w6cSkAkmzyDkugBfV8G8SSKw34vRj6gYhm+9Z8GvrfEjcMHB2UkNx7lpBKo4ygaKLecSBADUkWFl3EYRDWLymp6AwMNrBtxhuUUBRdIJotzF8oXYfxhk1kcTcfGBX73D8gLw/hY9FVEDjAKmDUlSBi3gU2O1jNYBpAFgu22QAwBRSwLE4xiknJkJKMDXqsYhGiAvVRDy3BCBDQ/Z++lXLWxaP+K2MRc8NukDo/kgndEg0r3+8NvPdFw0gvS0NQijg04DIolyyvgYMiJksvwOypV1OU9Pfe3r6jp7dGZj1RCzV5GvPgYwhReHCTd9jYZowA7Hbc1IA2bYL1a6Gzc6TtDrG4SDj3F/zxC3BKMiAkOTbsWyhmpHGV5eyhwyM8Tgzj7G+XLEekkQdA0Qz4TH6Dn38tbIDQVIJSxJsBU4CSIVmyaieQRfQAAEpKThkUcnUs7QbetPUpRSRFIfRFlzAXXOp+7ee7aEhT2POW53DNIXhrJezcAWPr7KPqG6hnnmOfeQ4A8IQJ9ofuFcZlBdrYfXTz359IO+XcMRwzxhB5l2To+LCPR4mAg7e4X/gntsO8AmoIgYk3Ay6GUhZYyaqvxS9lFhOFpKVWaJhBGQy87tLWvt1u71FGVpTB3nIHfcJSLOW1MHRAVxSg+kfxpb9BT0TOHlVTm3bFLQ77gO35p/hpk30FDBoeNiRW7yJiBsUTEd/1JVA3ADHgaCPeDHg5kp4F2AotFkj0FEIAMHv6NYGaZtuqn5dXS5TC3Phb+oSlvpFWgW7u2GLBLz0nblwvhyyMdTffDpkZ/R/9b6ikUJJ+xBnazEL3C//+eSDT5yBVlSNZHij0kqAUYzLgGdMm3PGby8Zlp69ZX/34M29wHB96bYSYAtMky4/iIzIcPfrJSJfO1We1tJstbTKLiUKYs85lTzoNfp4e7ZemyvtCtJiFP98HBw/KIMlVUTxw7umW4yaLBQWIYRgeWG7Q2J5kEHXcYyyaLBlnhEVBCTnRhY42SpaTpxNfkgTDVMukDmivZeqU0jD6ByKNWvXw/Tf+818fnHvx7UaD7opLzg69NnLokQGk5lk2Q6M8AqKZlORihpaepLHv4Psyi4lGCorYy6+DoBmsMBaEvz4pXHK+DO7LFeQ0f/uf1lUv9v3qLKGsBDGM+wlApECkPC+8C9Tj0CdFxQXJFXNBKiZcdJF1M4FC0i0rE9cts5LohAbq7s5rt9W+/Z/aP31d+4/P6l6sdJYoomT0BjxzxsSWts6166sHTJaXX1912tIFoddGCARIC1q/7E7uf7eQ/M8Akyac73tajpkK4No6MkAO2sefH3p+fH1NbKzjzj9TXPudDGJEnbbtrb8KOdleMd4Gn0D7N3xFCqA7sXKn6HM9K+75PIIAANi7pVfDTSgqDNJpSns56dDxROP3nVdf23O+CnuihSY5ylY2PpbOp8ivZPQGnJ+X3dDo6bRsam7PzkrXatQh1kaIbMhiscSjnwBCPToa6aNHP1lpnv5nv8aSydwiCokenaG67jeIVUPg9Br8W//ibrseRJkampZfLBVTU9ymi3y6xL2OK1LHnBgjSPvldfIIiwYYbRKl1kpWDdRWyywmCklX5fqlyAYAjEAAMg8TUgTjlb2/8CtM51Mu6TtLfjGjHwPWaTVOp8v9muN4jLFKrbI7nKHU0oyaYQf1hWJRpGiGZqQDmENkIX8ySPmIBcysRnpQJKEw6v1DM9x39vaunWqt9NytRIGimJPOgMEdzr5LBOLnnmJ+3MbIeJbcAc++DV/fWTd+gdDa9dt0TgoS5kvMP+MGGDzP1Q1GYDq4WdkfMwJQaZMUFAAARjbV/cLPg/uFrkS/0gFmm6YzUu20KdyEsZ8cp106CWggRm/ADqdTrfbMBGBZBiHkcDhDrBUFjhucE4OmVYLACfyYEjXnidJpYJ3YwbkSfUFzrSo5UP6NgzWfJPj5UV17M/jYrRvvW+65J/AmWUKdfUC9vX4yvNYrUoAwiBRQImAEzMHalDsf4mTWpyhJVZ5Ubv5nhnPaepqV0wUAoNIk8S67guFOCJCBljaSn/q+S/ArHQAKrBmS5RZkkf/kjN6Am5o7Fi/0LG5VWDCuq7vP2+QdthZjEQuDDJiiWMBYFMZ0GxGAl5xj0427xvjJcYBRly1dgcWBgQZ5tUQd9OJTho74um/uwvrvhPXfyy9J9/nqgcvOGVruHfpFGAQakp//l/71txKqYzFj5qk0LT0JeOBwdTRc6aLAKWjApfopSHpsEbdZD4uQ6FHixQ7pdlo90yL/j2f0Y8DbdxwoKsg5cfGc5CTDr68877s1W0OvjRBCgN/WPrRPhqNHOdnjBsVleJ3GySf6EzFodYhmYMiyjAgDcLzrb08qIkq9tyb5tXf8Qp19XmOmekfujFP1r7+liDzFQKjgzBsDzblq+vpledVEIyX6qZLlLtFJ3BcApjjGS5bXq1pkVgJjMWC7w3n3H1+48tKz33/zKRfHvfavD93ln7z31wXzpgWqjSgTfl6F0I8+SKwAUUnSkstg8PqM7n/ttkTPfqU6/Re+54QSj3Vpuv76qILCUp95Pfv6e9nD9YjjMYgiiGC3q7Zsz15+Wd700zJ/fZeC2pSi8MybKFYDgxeVcr91WXtcfR2KKYsapiQfL1ne7VTAYKKQiQ7pRZHrVAoMXowpEcfuvTWXXXu/X+HZ/3dbkNqIkg7Snfs6rJNTRnTCqLTSi0TZu5SQE0Uwc+YD+Ld9EQYRYX7bRsVkAQCAdkN1/qYdao3RYetXVkk0oEnPy5i7HIYME7i/u8bPX1JGVjRBAZ2tKcZSwfyb+j5RQlF0kSQaVCC9KLIiLeD4SkWJMQzOz+6+Pi3ISjLAaBnpOHC7o09mJdEGlZblbQEPiny2W5UVRhgEQpXXPSe5yAVGwNvN/fvIYqMw3jjLnQjaL0QcIzhgIrkQYIZ9IkiljRNBHKAt8uuJq9SgA9AvMYwH0A6tSkmKHmhGeh52NAStKAtij01+G5SFo580OqOIssv/QmuNECDpZt2qx+UWFJUszDgWuOebooQTnVZ+ZDNk4pJpdulcvO2sMiNxcWXAktPMEcl/CgAAWDgWf+H7jCIILomtEwp8LI2jd4wcYUABZm0R5Cdn2RVJ5TO9b/082NZVb6r5UW5N0QdLqcoN0yWrai1kMVYAgCXW2ZLlnxnXyivEQ1wZcCqkSpZn44BrqSYOIuZhcIZF9wuVKtFTlGCbDYaEQAMAnST9cyLITPq8s8Ydf7Ff4bHIcMC1r92piLBoY376igATkOCb9tdlFhOFUICm2qVDoNcZtsksxk1cGTANtGS5ERLdYwCAx5xkEJZKZVBCThQhNjcMjcBCGJAq4slTCcOSPuf0guU3w8+zn4f2P7d++xpvM8kvLAqZmyGdTNEl2NudiT7XHwCWmRdSUpaHAe/W1MivB+LMgPtBetDODmSBFDCbpAfCDRrp0PHEgVv/jfvF0AACzf9dqYwmAgAAZC44p2DFbYFWsAYAW9uRjg3vyagoepmYPD+NlU62U2fbK7OY6GSJdY5kuZWy2yiHzGLcxJUBH4T9kuV6SPRGHgDYHNJRBlptmsxKog1u60YYMm3Dbcbas/5PGU0EgPyzb8pdfj1IJXx2/ye47DWv/E4hdVHHadlXgXSEGv6o5QXZ5UQjgSKwajWKdQ/ElQEHyoRVBZNlVhKFmMzS08w1rMKJ45VHFLF5wHvn8m0HI0QbfveQUroSFkRRFdc/lz7vbL+VJ3zBorD/b1eLvDINl2hjnLYsS1Pofu27UAcANNgP9ZFVCAHyuKxKZ7Fk1T9S35ZXyzHiyoADzbDOBunknwlFY+tmt634r3dL0YZAaaITBvvbr/nlgvaOBKtmzFXNmK+gtkRDlZRRde+7usJBjRX/0V+MD7/+B24g0ZO4ebmk6D7ft77LRW/t+VQZTVHGrd2XSpabKesag2Ih9HFlwB3gSUQ3aDIJBi1ogu+YCDhdZhA9PQR+NlOUu0AxWdGBa+3XwB9bydJvJNj42z/SeUUKyEo8MheeM+EPK93zfYfizYN99K2HLfV7ZNYWtUxMmpeuypWscgjW7X3fyawnOllqWSAZxLfOWC0gxVJkx5UBb4HNIJWDzQBGFCSQI2GwO/okV5svLTxRdi1Rh/XfL0ieHIQBYZTyyD/o3ALZRSUQtD55/G3/yFl+PULBL1Vc97+HBvZvkklW1IMQOjvvpkC1Hzb/VU4xUUu5szBJ9EQCeWMI3OzQHlBMVpwZcCM0ilK5ONRYlQ2J3ssKAE1t0mtSpSWXkQcU15ovRXM/DGn+el4gKvUv/2SrZkjtShgrWSdeXHXP25rsEr/yoT3PdSsfGti/WU5tUc4ZOdclq6TzHFj4vt0Dcq9jHZ2cbzp1aKH71/Vp8jr59XiJKwMWQXBg6RlH8yDRe1kBoL5Z+mqkKSY3e6ZkVUJhuut6wB7LHRSK5R7LAJRy52P6c6RHkgijQ19UNeG+d7JPvQKogPciT8INgTv4/HUDB4j7HsPIpC/IWBGodn0XmaAFAEBj+qL+MySrDmua+hglJ5HHlQFD4Cm/5bhMZiVRSHvXbiwOGu3w2szMqsuV0RRNiKY+6xvPBd9Gt+KS1IdfQqx0uB8hdJjkjPKbny+94RnWkOK3bMDQgTre0r//qcsdHSSbxCB+VXQvQtL38D5X+4auVTLriU6u673AIEoviPdY3r/k1eJPvBnwYaiVLM+FPJmVRCEiiJ29ngEPvxZeZkoFQ5PET+Bc86Vj47e+JUPnB7P5pRn/+Eh73AlyCosnaJ2x5JrHJtyzUpsvnRfQD8vRXfsfvYg3kZjnQZySc3mhocr9esjqyPj1unuVkRV9XN73C8nyJrb9B4PCKUrizYA/QR9Llo+HSibO1l4cFQeOSs9JQEDNnXKdzGKiE+srT3F7f/Ir9J+kRNHGG+7OeOwNKi1TXnWxDZuUXvLrJyY+8J6+YgbycYyhTV7PLBoQmz/9+5FXf4+xVIBcApOtKToxK2B+7KOW3d1OBZaXj0Jm2CemCymSVasNPyi+Uk+8GfB+2Ce5JhIF1BJMYn2hrmmdIEokhQaA8uKlVIDurETD9MQ9rn0/weCFpYc2hems3MynVqb+/gmk1cuuMcbQFVeV3/HP8fe9qS+bBsPEOXvgTD2Hnr6mZwtZRt4fGjGXljwUKHBSxMI7DY/KLClq+XXvBYGq3kr5XE4lksTbDdcFLjNID6rPh3kyi4lCMODD9d9KVjGUasZEEmHkwfTEPY4NX3vfDl2twYu6clrWC6vSfv8UaQ0PBbGqzGWXTvzTqpIbn1FnFUo++bkZ1ImKcc/mj/c/9ktnT4ssMmOMy8seSVVLJxfCAO82Pm7m+2SWFJ1McJacYpHOotPCdhxWNcqsZyhx2CvbglpSsKfPwfeCr0CVygiKMrbv//eEEumYwKnjL9h56C2yQrAby6vPCEdr9Jfd4tvQkJ4rDEhVOSXryZV8W5Np5d9cB3fLpTF60ZVOGXfWddrc8kDt3aGdCu5CV1fzkVfu5M29EZcYm5yWc3VZgEV/AaDOsmt3v5LzaqKKZ9vvCdRPcGf2kzKLkSQODfgj+KAKqmDIvTILZ5ZDxWEkHaWVONid/T39h9NTyt1vfc8SjZhF025dt/0pZZRFH/bVn7lq9qQ+8Dyo1IHSdPjCjitIu/NJbLfaN3xj/uhf2JlwmYrVhZWZJ19sHD8bMSwABB9i8/NggXO2vPvkwJ4NkZUYyxTpJy/KDrhAiADCW41/kVNPNDPZMb7cWejuVvG7TrfodmzTR0UmNVQycZnSGgAAGFYHADxnG/tHUYDewasMWGJYrhp+vJ+6b2h5opFkyD9/2WvuJ0N/X8H4ozU3dQ8cUUBW1EKhpNsf1UzyZOHwjR73ImHPGITeDtuazyyrPwQXN+qDI4pWa4wOm/RSm9EAounk6Scmzz5FUzqZotkgpyVQFzQWhd5NH3V88aooSgRwxBYafbrT2huJ6J4C/YRryp9m0LFW0+Dzid+u/wvJvOHlzaYn59in+pZ4T9flBXdv0m0HALUmmeOsosAP3V0e4rAFLALei/fMkxrxnQxTECDFI98Ux2rv7B04kp5cJnFDROiUuX9855vLyVk6hohNT97lmDgt+TcPUaqQ8oq7TyyTlp103tVJ514l9HXZtnxn/fYD0WqOrFQZUWfkpy45V1cxTZ2eCz+H7wUZ5ZUEi6Jpz4bm95/BroTrLRgRRjb92rKnaDToju3bvPui7VXivl7m2ab7uS/8fLpMlMXtvtEAnZoZFRkqKJoFAFEcfUPBl1RImQ0Say8zwOyBPR0o0Rfnoii6q//QhKLTJAdIVCqDitU3d1bLLyyaEbo7bJ+9jfQGtmSCO1+x99wNdZ1Bw8aAKK1eXTHFeNoFhlMv0FbNQhqd0FKPQ3vuRohiGDXPRYU/aUsnJ89ZNu7cm8adfX3qknM0BeMZXZLvKK/f78n/54UAfv7NYVEw7Vp35MXbBnauBeWaIGGHUekETjod0KjR0IYbK1/QMQFWDkXQ52onkc9eKEBvNj0dKPnG66mrtuh2ul8zjEYUOYwV63eJwy5oAGBA9bH4MSUV470P9t5B3R6Wo8QuNK2iGfXciVdVBojGwoA/WXtrV1+NzMJiAkqlSb7pPtXk2YBQKN3REvbsXubW6eC7Wh01uxzVG1x1B3CAZ9ohpAAAIABJREFU3ldlu6DZtGzD5PmGqvmqrAI6KRUhKnjHeyglosvRs/Gjzm/+A6Jiq9BEjrB3QeuY5JsnvJTEpgfqXeBEx9MHrjRzJGzNwwOdN13af7ZkVTvTtbj0Uu+3o3gXdHwaMADchx9YiBcOLccA11BXtkJruA4Ui7gNWOAcly//0N334MV7kTt569tf/solhPlZPm6gklOTr7tbPX6qu/0XyJaGNSSEASNAIhZdDrG3i2upd9Tsch7dz7c3YZ4DGQ2YYlSq3GI2K98wZYEqM59NyaQ0er8+klD+HEnc5a7e9vaPXzQfkF4UJD4IrwGrKO3tVf/WM8mB3df5t0PX9zoT+obmS6qQtPnoWwyWGF3FgC8s/N0OzX5vCTFgD2E34EJc+DL+p2TVZtj0MPVQuA4Ui7gN2OU0jy9ctniWpz9g6BXeb2567/tr5BYXU1B6Y9Ilt2hmL0KIdpcEN6RQ7OpYIc8LLjs2DYgDvVxfp6v+oOi0C13tXEezYDOPovmI1FrKkKTOLqQYVpVfrsrKp/XJTEombUymVBpEMSP111DauwCAec60e2P75/8UEiCdZBgNWEPrrx3/TLam2P1W8tz+68g9tWb/xG2JzGPtt59nkja1bwybbsoddOdX3IDjMAjLTSNq7MZdGSCRG2EWzNaBzgZhM/vYpabxm7L8E/OyZ0pe2ynGggXTb9q88++y64oZRKu5/+W/wCvIsPQ8/ekXUMZkyemtIeK/I8MwtBG0RsjOVwPA3FN8t8GAAWMQRSSIWBRAxIBFjEWEAQEAzQAAQghoBgECivLN2h/IR/3ED/uHDP1jfcOCMBYdLYc7v3jdWrtj+D+eMJhUVfb1lc/rmWRvydCzvbHzfeK+vsy3zTjXtDRQ7ZMZr8kpJhTiMwjLTS7kjAdP8g33Xcn9HwMMBfQOFC2BcPJDUTRFMe6EG41tWyZXnIcoWnK+elZKJYXo1u5dMiuMOVxH9lu/fs++6Rs6I5tJH4fonxvEgzcb2VvppB/eFwghRCEK0TRiWMSyiFVRKjXFqpFKjRjW8x9FI0T5rXIfKLWIvzEHPrpvkV8hxqKjvb79gxda33q874cvuN7EinkMSxBWmirn1kmvaOghcyl/jmLDCNZ2/O+btjfGeKB4Qo817zc9r8bSK5Xt1hx6Je1dv0IShOUh7F3QAKAB7Xvi++41GPzuLCIIF9AXWMASxsPFEN4uaPfb/OxZp81/JFDKGABYve2RI61khsMIUJVMMK64VDV+KmJVIcZnjSKgKZTcIKF/bCifFmQzwWV3Nh/pXfOu5eC2RF47Yexd0Lna8qsqnpBwXx82dLz3deuroz5EXPJO07MzHJMkf59O5FpSekkPPeBXrngXdDy3gHngaaCnwlSpWSJUJmRtQhvDeLgYwrcFDAAmaxtCVE6G/7Q5b7dBSe6iPlN9v6VJdqWxitDfbf9hteXztxy7tyKaplMykEoNCPm1F/2apcPM4ZGa1RO80Ry8De1XIvn8FVwDFgSuq9m8e0Pryr90fvbqwI/fuLoTPXvzGFvAi7LOv7D0XpYKtjZonXnXew2Pj/oQccnxttnX9V0EMGiqm5dbc/+8V3N46F6kBewhEi1gANCA9m3xbQ2WSJ7AAXcZdWkfSsSs5X4tYDfnn/JqqqHA+9Z/bA/wt1sfqm/fLI/COISitdMX6I4/VV00gdIbvEY2ivlLoW8Qyi7ewhBbwCLn5LqaLfu2Wg9W2+v2SeyT2IylBXxGwQ3zMn+Bgo6+7+5b+249mfI7iHQ+5bPGl/2WHfSew68NG2/OfVhyR8VbwHFuwABwH75/kbhIsmodte5RlIipUyUNmKbYC5a+YdB6wtYkEuVj8fMf7mntJAE1YwXRtKp4gnbOEvX4aUzGON/sWiOdwhR8A8mS4J8jsb3LyfW2O9sarIeqzTvXi04yMy0YozNgllKfV3RnVerx3hLJL251239Xt68co8I4AwF6o+XRBbYZkrUCCCeUXNrBSIffEwP2EDkDzsbZ/xL/HWiA837qvh/Rj2E/aJQjacAAoFUn/3LZ//zS+fqCAW/Z+/LeIx9GXGIigWiWLSrTlE/TTJrBZORSxmRKpQZAninCY058MYKRY1EUXU6+v0vo63I015p3rHV1NIWYsYvgZhQGnK+vvLz8Ub9B36Ff066+1e/Vk55nf/7S8dvzTacFql2V9PXd2c8EqiUG7CFyBgwAt4q3noHPlKwagP6L6YvEBMt7HMiAASAnY8qZCx6nfp7VOhSEYePuF/bVfxpJgQSg9EZN5XQ2u4BJy1LnloBWR+mMlEaLEINoelD2xxE1i0UBiwK4ONFuEW0W3tLvbDgoci5nwyF7w0FMWrdjZqQGPDl18QUld6PAS7MjDBjw+o53v219PUwa44dl1kUvtN4fqLaZbT+5+Iog3wUxYA8RNWAW2NeFNzKl5gQDwAvUC5+hxLKTIAYMABkpFb9Y/NxQD/aZgQr1bRu/+VF6WIUQXgJlwqI0OsaQQiWnYaedTstCrFq0mpjUDMBIsAxQKjUWBb6vi1KpRbuN72kXOac7tRYhooRuwDTFnl/8h6rU44PPtxYw/+/D99aZd4ZNYrwwjs/4suFVvaiVrO2lTWcUXdM7JPLZF2LAHiJqwABwAj7hLvFu71vfX7wDOa+hru5CXRE6dBQS3IABoDzvhJNm3+Ub8Tr0HtFjOvrRhtt4wRkhkQQ30b8cIcGXEA24xDD1koo/u6OdgxiwCMIbNXfVW3aHV2QcoMaq/zU/NdVRKVmLAV+Vd8+wqx4pbsAB+z3ijHVoXaBZvxqsfkp8WmY9Uc7hlrVrfnoieHR+elLpRSe/kWoslksUgRAPIIQWZp9/ReUTwecaAYCZ63lh//XEfSX5W/t9gdwXAD5O+j561hwMQjzPA/ajBVqWwBL3a7+ILAMYdKD/CSVKUje/ecCS9JrqmjqrJxSe6rf0ni8qRldVvNzpMnX2H4qMUkJ0LUdIGJbg84AL9BOuqnx6cuoS37BQyYvrp56v/1V7l4VPxHmSw/Jc+72nWBcGyhxkQ/aLC24X0PCzexWfB5xABtyEmlIhbTyMl+zwqYTxG9GGARRswCBuCMWAAcDm6OkZOFqat5gKnCQLASrIPk6nSW3u3I5Bsd9xHEMMOLYIZMAU0GcU3XxW4W+0tMGvyj+XJ8C2rk8/aXyOXFCSXGxafk3fBQASCTcAQADhkoI7W9nOUD6KGLAHGQwYAHahncvEpTqQWKiZAmo6nvkV9ZUAcbhGqR8hGjAADFiaj7asK887gaElkpl4EjgAZKWMn1zyi/aePRZHAg2lywMx4NhC0oBz9BWXVDw8IXmu9JPsz0aCEbhE+4f1T23o8M9aTHAzzz7tmfa7j631PtiDRSRelX9PtXZviJ9GDNiDPAYsgNCO2k/AJ0jWJkPSdDzta+rriGqIBkI3YABwuEwH67+sLDyNZQZ5sF9HAkOrKgtPdXLmrv6aMEolEAOOLfwMWMcmX1H5xEm5lxnY1ID9SOBJoFg78OOrh37XYiNXkDQTnWWvtf5FgwePnfvknnwk8x+fG9eG/oHEgD3IY8AA0ISaFuIFqZAmWZsJWQwwO1GcR/yPyIABQBBd++o/LciaqddkeAulsgSjwqw5E4pOa+/Za3XG/8qv8kAMOLbwGjBCaEbGqVeOfzxFnQ1BQ53d/NT1xbt1j/I41Ksy0ahylr/Z8mygSUeAYIPux4ezXhzRZxID9iCbAQPAGur70/EZGpDoUwWAKlxVjap7UDz7x0gNGABEzB9o+NLFWQuyZkPQu4mK0U0qOB0Bau/bG5ZlyRMcYsCxhduAJ6Uu+lXFwzPSlx6bTx94uTET1/P2kQe3dH0sl8bYo4TL/6Dp74GWGgQAM2U9r/AWAY1sAJEYsAc5DZgDfhvadio+jQaJfE8I0Dw8bw21xg5xmxVoFAbsprPvoMXeWZQ9N3jiHkAoN2PqpMIzzLaOPkvj2MQmOsSAY4tMQ8kV5Y8dl3XWsMFWAIABNrS99eaRB3udrfLIi0WyhYxVjc/rcYC2L4AN2c8ruKmHGfFceWLAHuQ0YAAYQANOsM/Gs30LvavvaUG7VDzlC/oLDuIzc9CoDRgAegaOHGj8Kjdjql6TLrmB9y7DMtry3CW5aVMaOreRfB2jhhhwrKBjk08puPqs/Fv0bLJ0e3dwIS+63j36521dn5Jo5yBkCekrm58cJ0jnMQSAbqb/3MKbG9m2UXy44gacKJmwJPm38O9xeJz79dA+1VZovZq9WojHa2PYTFjDggCdMP13lQX+Px7JrmlBcB1o+mrT/pdFkaT1HzEkE1b0o2WSzi+7q9Q4A6FBPUOBRmoELOzo/urLxpd4HJ+P+OEiS0h/p+mvuXxWoA2slP1XebcfUB8Z3ecrngkrQVvAbtajdWfiM1mQXvzHCMZMyNxCbZFTkjyMpQXspb59S6+5IS9zJkN7BmYC3W4ois5KqZxZ8n82Z2+3aZSXSsJCWsDRjJrWHZ9zwcUVD6Zr8hHyb/RKDvr2OlpeO/S7nT3fivH4cB9GJrjKPm56KVVMDjR2jgFfm3vfTs2BUR9C8RZwQhuwHTnWoXXL8DIVsJIblONyGuid1C45VclAWAwYAPosjXvqPjJqstKTSyHA7ebYQRFdkj2/Iu9Em6u/z9wwxkMnDsSAoxOjKv2ckjvPKvlNadJMCgUIifCbpYqF6u4vVtbeZ+NNsmiMYUq4glXNL2jcUVcB4tdeTn3n/aSvxnIUYsAeFDFgALCg/2/vvuPbqs4+gJ9zh7as4b0dZ28yzQ6QEAirBErDagulrECBtrRpQ1NeSoECKQVKKSNAgULLhpSGQkMWZO+EDGd47yVbW3ec8/4hVTi2JcvWvPLz/YOPIx1JB1/d+/M999zzOCvxsQVkfqgpilPp1CyUtY3ZluCOxVWsAhghRKlc3bLF6esszprBYC5Us+DJsUaVMSb/3Mkll7T3HHd4WqPvQNqDAE41Rt56cdmdi8t/ma0tGXAiZ2+BFTYo2dr64VsnVhy2fZ2AHirdZN/YtxpX6nrPujr1AE0RfcHyz6cz/xblB0EAByQrgBFCLbglk1rGoXGhGoylY7VIu5tRwNLeEYphAPt19JzYf/J9jHBe5pQQs09OwXO6CcULS3MqPIKt29UQq26kJQjg1FFknHzZqHsWldxVoB/n/56HH/VBCCGM7GL7qqP3HehaD1d8I3G6Z8aq5kcMRN/3if8dWWREfpW78nXzR9F/VtIDeERPwurtOenP42jIDKYIPc0+/RnzWSK7FD/RT8IKJccy4bI5v1erjL0fDF8i3uPr3nDo2aqWzTHvTHqASVhJhxEea557aelPMtQDzMUNc0+8U7RtaXlvS8sHcexcernddu29XT9kwpTpo3RZ7pOfGL+MycfBJKyAJJ4B+/2H+c9kOjkf5Q/4LEaoglbYcNdxfDzBHYuHmJ8BB7m8HXtPviuJ7hzLeI4duNZpn0d4TjM2f974gvkcp2ntqUziX6OpCc6Ak0jFaCtyv3N5+U8rcq9Uc/3OyRBCIU6CvZJzdc3TH9esrHcejmsP08mTrct+2HNV6AVLEELoD1kvvWNaE6tPTPoZMARwAEVoI7NxEpqYT/tmsP/+YAbhCnJ6JrVuY7YnpYcxFL8A9mvpPnKw5pMMfUGmoWygFSsHoFEZi7NmzBp9rVZtbus+KhFYkC8AAjgpcnTl3xv320tG3T3GNFvPmcI17TPTCpFDtq9eOfrTFveJOPcxffCU+0P7/Vc454dv9rbpX89YX4/h5yY9gGEI+hRapH1D/JsJmYOP9D+B+5z5YiX3x4R2K9biNwTdR7ZpzDlT7s41Tzil+ulgy1MSWWq0HdhX/UFd+6749k8JYAg6kXhGPTlz3szsRUXGSf5HBv26Btu4pZ6trR/tc2x0OpphEdbIWWTTs60r5nimhmkjYemh7OfeM8b4ImDSh6AhgPsqIoUvyi/yiEeh970P2I9eYl8kit3HEhbAfhZj6UUzH7AaSv3/DH9EO+XysNC97djfjjWuE8nIXUgLAjgxyjKmX1h6e56uvP8Q6KAZTBHZ2bL6y4bXBOLV6DN9ri4I4AhN9o19sfnhLNkSpo2ddd6Z++DuiIsMRg4COCB1AhghlE/ynpGfMSNzmB1vE7PxMe4JCSlyaacEB7DfxOKL54y9waDNCfNbDbGQlq/Vfnx/9YcnW0fiRC0I4Lgyq3OnZS2YljXfqikM1SbMN9Yt2Y92fb224VWPFNibIIAjd3v3tffabsIUh/kN2xnnjYX3H1NVx6MDEMABKRXACCELtTwhP1FGSsK0accdS/m7u5EtYb2KlaQEsF+edfJ5U+/N1JcO+Gz4Uw2P0L2n6r1jzetd3nSuVdUHBHA86HlLRf7iWTmXajhD5IPMvTnFrs/rXzrcsYmgUyrwQABHgqXs8s47r7dfHnxkwK0gYPHS4tvq+XhVqoAADki1AEYImal5lfiSCYWbf+FBnttUd7SgloT1KiaSGMB+E4oWzhl7Y4Y2t/eDgx4HMUUUI0Sp22c73rJx+4k3BdEVx16mBgjgGMpQZU3LXlBmmlFmnBZct3moAWwXOra3fBjq5iII4EFlyZY/ti6f653W5/E+G8LG2m8o+GmVKo7rBEAAB6RgACOE8mn+KvElFQpZhBIh5EKuFfyDB/HBhPUqekkPYD+roaRi/E3luWf5/xlJAPdGKalp317duv1E6yaflLZJDAEcvQxV9qSseWfkXWVQDVDCK8IAlqm0u23NjtZPOr3hIgECOLw53ml/al2eGeKib3BbfGpYvzznjwKO730xyg7gGdMn3H/vD/JyM9dv2vX4U6+J4in/G/fdfcN3r1zg/7nyWM0tSx8K81apGcAIoSyS+bT8dC4NWY4DISRT+QXuxY9ZxdTTTpEA9ss0lp0z+a588ySG4YZ6eTjI4WnbU/P+8eYNHqEn5j1MLgjgYRtrnjsl+4IC/TiLpiD83aXhv10iEY7aNn9W/WevPPjfeRDAobCIebbltxe4zxikHaVPZb72svmdBHRJwQGsUavef2vlymff2Lvv6PJf3HKiqv7l1z7s3eCZJ3/x93+u2bn7UCTvlrIBjBBSI/Vy6ddnkgG+N73320qm8j7+54ooIZxSAezHsqpx+eefPu4mvdo6YINITlMoIg5PW3v38X11HzfZYj9nMikggIeEZ7XlphljzBVTss7jWQ0a+ghzEKHyoc4Ne9o+q3UMYXwLAnhAuXLWm41PFksF4ZsRTO7NeXitfktiepX0AA65ev6gZs6Y2NjctmHTLoTQi69+8OQj9/UJ4LLSwqrqdFjm14d8v+N+t0xadj45r/fjfXba8WT8G77X7lH9tB23J7J76UGWhSMNnx9p+HxK8SXTRi226Ip6l1aN5BiKEGIoY9LkmfLyxuSd4xF7TjRvqunY2dC1X5RhFYt0hjHON4w/M/+akowpWt4U/mQ3EiLxfdO5YW3dy8G5zSAaFznPeajzPpNsCN9MRvLdOQ9t0Ct+paPIDT+Aiwpza+ua/T/XN7Tk5mRqNWqPN3C/pkGvM5sMv1l265TJY44dr338qdfq6hU2U6k3GZFHuccyROMsOitMs2yU/aLw/GP84zsZWEFimL6pX/NN/RoNb5xYtHD2mBv86/9RPIS7h/20vGlqyeVTSy5HCLmF7srmdcebN7bZjxFY6jJdFBknlWVMzzOMKc2YruWMoZoN+uUJtnFL9oMdXx7oWNvsgkWsYkNPtA90LF3sHHyctVJdfWfuimZuZJ29DD+AdVqNzxdYL1AUJUqpSq0KBvCoUYVer/Dqm59UVTfcfON3Hnnw7h/cuoLSwH6AMYOZU8p4YYwRxv4FKVPWcvbBH4s3Xy0tZhATapfOQBmPir//D/v5s6rnZZyix3rMsCn+2xaId3/d6v11qycUXjip6KIswyieUQ/73XQq84zSq2aUXiXLgsvb0eo8ebDh0xbbEUVURMeYQSilN1bCYIyztaXFxiljLRWlGVP95S8jHB0JgyJq97V/1fT2wc4NhErofyvjDhvDcjAAjRC60rFgefsdOqIJ30zG5Hnr2y9Z3yGIMiFKs8cLxpjhmKiHTIKIPLRLkEO7BvzAL3+8aOFZCKHPvth8srq+vKzo0SdfQQjxPLf+s5fnX3p7MJJ7Y1n2y3+/eO0Pl7W0Bm7f5HgNy54ytZgixGCWUrn/y1PNRHn8A+5fWEjY5WERcmDnLwy/qWcaE9OrIcEYI8xQooDfth/L8KVZs+eUX2/S5A3YYBjX+UTZ2+I45vC2tTuqTrZtFuRUnH+AEEIIMwxLiCKXfImemtXl68ZMy1pQaJig5TIY3Lf+bjSXeKvse4/2bDnRs0uQPbHoLEIIMSw/1KNw+tEQ9aNN95zvmBt8JNRmcjLunxWv3KFPzl0kDMNRKgfPDKPn89qH1H74k7DOOuO0G5YsWnrfYwih0eVFKx/92eJrfzZgS7Va9cXqvy6+9mddtpAzVFN5ElZ/2TT7T+LKPDpwGARJSHqcf3I9syEhnRqCFJyEFaEMXd6koouLLdNzzRMxHsL60oM26PE013XsbrFXdjlqWx3HYrhPRmmkTcJiMVdqmj4p53yLusCosppVeb03dH8RngEHm1FEXWL3/vbPtzS+55WdUfe3L5iEVeE57eHO+4rEU6raDLiZuhn7lcV3trIdCepZP0mfhDX8ANZq1O+/9eTKZ97cs+/I8l/cUtfQ8pcXv504ft45s++89Zrl//fnltbOpbd9r7gw9577nwjzbsoKYISQjmpfEl8YNIMRQuuYdc9yf3Hi2O/qw6bcAA7Sqsyzy5dMKLxQwxtRLAIYnXqMdnjbT7ZvbeupbHOc7HLVJ3FsJu0DWMMZxlgrsrQlBpU1R1+eqysf0hIZETaTZeFo1+bKri3He3aKsTvf7W8kB7CR6H/e9eNrHIsGnAfXezNRhLZo9yzNXyEkdTVfBQcwQmjalHH33/v9/PzsbTsOPPL4Kq9PQAitfu/pP/zxtS3b9t/8/Su+c9n5GUb9nn1HHlv5amdXuBs0FRfACCGM8C/F+xeQ+WFmXQbKpCD38/wLn7GfJ65zYaVBAAdp+YyynIrReWeXZc0NVcd72KOUfhRRQfY0dx+q79zX4azudNY6fYn7mz3NAphn1CWmqRnqHJM6N1tXVmCcoOPNYc5wo9x2Ptlt8zbubf9ib8sa//XdeBuxAXxb97V3dF+voeHmavi3VCPX+sucJ/Zokn+joLIDOIaUGMB+k+nkFcLyLJTV/6k+x4UDzMHlqhUeFMe/viOUTgEcxHOaGaVXl2XPtegK1XzfObExOUUOtqSI+kRHQ/c3LT1Hbe4Gm6uh29Mkx6eatXIDGCNs1RaXmKaoWJ1BZc3UleQbxun4wOSJGJ7d9m/T5qnZ1/qfE7YdXd5ET8IYgQFcIOX8tfXhsUJZJI0/1X/5u6znnExKHOohgAOUG8AIIRMyPSw+NIlM7PN4/+NCF+5ayT21nd2ZoJ6FkJYB3FumvmRc0fwpBRdrVYHSzrEK4DDNZCJ0OmvbXdUOT6tERJevs7H7kN3bFuXwtSICWM9bzJr8UZZZJk0ug1ktZ7CoCyzagt43c/cX5dlt7zaU0lZPVYe7ttl5/GD7Wrc0tLkwMTSiAlhF+Zt7vntH9/VqGm69Xj+CyG+yn/rY8N8EdCxCEMABig5ghBCD8EPi/51BTg8+EubAsZb98nnuhR6ctGNE2gdwEM+o8y2TizJnlGefbtWXhBrqjFUS9G9MEXX6On2CHTGMKHs7nbWN3Qecgs3l63IL3R6he9AjdYoEsIY16NVWPW82qDMNKmuJ+TSruoBnNRhjDWfkmFOOv3E9u+1NIkKXp3F3y+ojXZs9YkqsQjpyAvgsz6wHOpeWiUWRNO5kbXfkrTikOh7vXg0JBHCA0gPY7wJy/k+ku4108AJnEpY+Yj95gXspIf3qa+QEcG86lXlayRX5pokGdZbFUIjRqXeix3QaV+QtCZVdQpfD0+aVnWpWzzK8w9fRbD/qFmyC5BYlL8eqZJbY7HU+yU2p7JNc0R/cNZwBM6ya1alZnVVXjCiVqaRmdSpWZ9UV5+hHqVitREVCJA2fkaHJ5hlt8G+XGP4ehvdWDrHzaMdXdfaDdfZv3GLKDQyMhACe4hv/RPuyUqkQRbARnYzrj5ZX3s1Yk4K/EwjggPQIYISQFml/Ii69SI7ot1rPNDzI/64W18a7V32MzADujWc1hZbpM0quyMoYq+H0DDP4kg5xCuDhtaGIUipLRBAkN0aMmtUxmCVUFmS3KPsYzKg5A8eoKKIS8UlE4LGaY1Qs5hIzJhzbt/KI9mb7kU5fU6en4WjXZreQ0hW40zuADUR3f9et1zgXIRTRTYBf6rc+nPnnNjZFC3hDAAekTQD7nU3OWiH8motgVRdC5Q+5j1/n/+5Gift/hwDuDWNs0RXnmSdMyL0g3zSRZzUDzmqP4QXLiHqVqCxPwbcSiNct9rgFW6394L7WNTZPvOqxx0O6BjBL2e86F93d/X2rbO7z1IDbUcDir7Of/Ey/MRGdGy4I4IA0C2CEUCEtfFr4o5UOXPYyyP/ddSHXO/wHb3FvJ2a/hQAOg2G4LMOoHOOYfPPEUVkVOtW3h5tEDlOnZmTGtlmwjUQEn+xud1UfaF/b6DjS7WlSboClZQDP81T83Pbj0UJJqAZ9Nnct33hL3q+auLa49yw6EMAB6RfAfkuka26Ub9BR7YDP9vnWOrHzIdUju5k98e4VBHDkGMxkaPOzjKOy9KV5pomF5ikqduCtiVI1NVMtgAmVBeLtcNUcad/Y7q5uc1WnU9GhNAvgC11n/bbrnv5nvX0EN3cd3/So9flNuiTf6BEhCOCAdA1ghJCZmu+S7rxAPq//UwMepDaym17mXm1imuPXJQjgaDAMZ9bmW3XFFl1RTsaYYst0jSoDoyEUTxw5AUyoLBHBJ7nq7Qdhmo64AAAXuElEQVSru/d2euq7PA0eMWnz/xMgbQJ4nDhqWeftp3tnRNjejT3PWd78u/FjGStmkXkI4IA0DmC/s8iZvxGXq+i3V4XDHMgkJH3Mrf4797YdxyUjIYBjjue0Zk2+SZdv0hWMts616It5VsNgts/9OX6pGcDRvJsk+9xiN0VIooLN3XC8c1uHp67b2+xK7QlT8ZAGAVwmFd1l+/7FrnmRlwnaoNv2UOazKTvZKhQI4IC0D2CEkJVaHxMfHk3G4MiOdASRzezWx1SPe5Evtj2BAE4YntNmqLOzDeXFlulalVmSBZbh9Gprlq5ExekHXcQ0EgmLc0Iku9De4apx+joF4lFhrUu01XTv6fQ0psg9uKlA0QE8URh9X/ePzvDMZGm42fK9+bDwB+tf3zWuiWvH4gQCOGAkBLDfWDLmHvGuyWRShO292Pcy98qn3BoRxWylQwjgFMExKi2foeaNWt6oU5mLTdMydHkSEdxCD8+o9bw5U1eiURkxwqLswwhhzKo5fZ83GUYAS7JXJD5J9vGclkGsREWHt63TXSdIboKIjjcRIre6TrY6T3pFu0e0e2SHJMf4r8B0pdAALhULn+z49SRhbPCRQb9XXWzPK6Z338z4UFZCXe0BQQAHjJwARghhhBfKC+4Ub8ugGRG1p6gdt7/Jv72G+0KORfEQCGAF6b8SFoMYFafz/6zidAxmWczrVGa32COTbwty61UWiUo+0UGIHKx2LMjexNQkGLEUF8BjxVG39ixZ5Dqvz3hMmAD2ML43Mj5clfGOm0n+yvbRgAAOGFEB7KdH+oeE386UTxu0ZXBPcGH3F9zaF7iXBBzV2TAEsIKkyFKUIEIKCuCpvvG32q873316qEshA2bwl7otj1j/0solrYhvDEEAB4zAAPabK8+5S7qjmIRcT7X/PiAgYRX/2if8pwISBnrF4CCAFQQCWFkUEcDXO664tefabDkzfLM+B58utvuhzGfX6jbHsWeJBQEcMGID2G8mmXGHeOsYMrr/U6EGgrqw7X3uw0/4T4exhBYEsIJAACtLKgewivKXuM+/x3ZTzmDRG+Q//uxVH3rG8redmgNx7FwyQAAHjPAARggxCF8oL7hHuEuLvl3nYdB5EF7s3cJse5V/vZEZwnJ9EMAKAgGsLKkZwGZiWuK49DrHFVnyIGvz9XGYP/ZnyxtfaZWxsMZQQQAHQAD76ahmhfDAHDKbQQyK+O4RitB+Zt+f1M/V4fpI2kMAKwgEsLKkWgBXeE/7kX3JbN9UFeWHVFLTybh+m/nUf3WbU+f/JeYggAMggHszUMM10lXXiFf1PhseHKU72F3v8R/uZveG32cggBUEAlhZUiSAWcpe4DlzWfcduVJW78cjyWA74/hI//lT1leUe39RhCCAAyCA+zPRjCXSNVdJV6rpAKsp9RfctZqZli/Z9W+p3vWEuDwMAawgEMDKkvQAzpEzv+tcdJVzUa6c1f/Z8AG8X33kZdM/N2q3J/0PiMSAAA6AAA7FQi0PCL+aNZS7lfwIolvYrX9Vvdz/8jAEsIJAACtLsgIYI3yOZ+7VzovneStYyoZsFqJfOzT7XjT9c7tmb7z6l5IggAMggMMrI6W3ij+aLc9UoYHPhkPtVxTRXeye1fy/tzDbgoukQwArCASwsiQ+gHPkzJ90//AS9wW9l5oPo8+xopXrWJ755HbNvrh0LrVBAAdAAEcigxoXS1cslq409VtCa9BLOzZs287uepd/v4qpgQBWEAhgZUlYAPOUm+c9fbHzorM9cyKvmoD+d6wQsPiVdufrGe/vUR+KVxdTHgRwAARw5LRUe5V85U3CjRzi/I8MaXJjC25ZpXlzq3aPy9cVl/6BmIIAVpYEBPB4ofw77oWXuS4wE9OQ9n2/Ttb2T8O/3jF+amNGegkNCOAACOChUiPNneJt50nnmGjGUHdCTJEDO//LrfuM/+IYczw+HQSxAQGsLPEL4Fw5646eGxZ5LtARTfDBIe37NqbnKfOqNfr1Ua5lmzYggAMggIdtljzjGvGqufIQhqF677TtuGM3t+8t1T8jvIcYJBgEsLLEPIAziGG+5+xLXRfM8U3rv2hzRIVNMW1gm/9hXP2W8eMRMr05QhDAARDAUSqmRdeL37tIWsjQwWN4wJ22iql+R/XBV9wWF3LFvn9guCCAlSVWAayh6nM9FZe4zz/bOyf87KowGdzOdn1g+Ox9/Zr0qJ0QcxDAARDAMZFNsu4TfzJLPk1DNaHahP+TWUDCNm7nWm79Nm6HD0EJ2OSDAFaWKANYQ9XneU6/w37jKLE4VJGiPgbco3erD75tXL1Ou0XCUH0yJAjgAAjgGGIQniPNuly+7AypgkVMn2cjvGgkI7mRafoX/9nH/L+GXXYJRA8CWFmGF8A6qp3nqVjgOfts71wtUQ/1Q4M7tYxIperkQ5nPHOZhbsfgIIADIIDjIZtkXSZd8j3pai0d5qwNhJCAxa+ZzZu4zdu4nR6s7PrbSgQBrCxDCuBcOXuJ87LThElThAn+Be+GMasZIUQo2aLd9ZH+i43abTDBKnIQwAEQwPHDUvaH4g2LpIuyaGYkV4j7CB4RfMi3k9uzg9u1kfvahiEPEgQCWFkiCeAyqWie5/QlzssL5bw+Tw01gOu4xg8Nn3+qW9vGdg61qwACOAACOAGyaOZCaf4iYWEJLY78VQMeEboY20f8v9ZxG+uZhpj1DwwEAlhZQgUwR7mZvinzvBXneitKpMJQL4+4ABqt4uuesLywVb0nmt6OcBDAARDAiTSNTrtcumS+b17/K8T9hT8iNDCNW7jtW9kd+7iDMoLpHrEHAawsfQI4V866yfG9c7xz86Xs4Mo54YXZ4wQsfqXZsUa3fpN2uw/DzIxoQQAHQAAnkn8pSs4r3yL+4AyxIp/mMSGSOPIBMQlJ7UzHVm7HP/j3Wpm2mPV1xIMAVhaNPhM7XTOEKWd6Zp7pmz1aLB3qO/Tf6SiiOzX7P9Wt+1K72cE4Y9NRAAEcBAGcSH3Wgs6gxnnyOfPF86fLU/us5jGMKSGYolqmfie3eye3Zy97AOZtRQkCWBEYxJzlnV3hnTGBjp/qGRvNjKrer3Jjzxe6Tc+ZXodLvPEAARwAAZxIoYoxZNOsheL8a8VrMqjR/8jwAjhIRlINU1/D1m3ltq/lNgTLMYHIQQCnLIxwuVgyR5g+33PWTGFq/yKAw5zSjOgB1aG12s1far9u4mAwKY4ggAMggBNp0GpI0+QpF4kLJssTR5HSCFcDCAp10JER2c8e2MXt28cdOMxWwgXjCEEAp5Rg6M72TZvlm2YhpnCNhxLA/nHmtZqv12k3t7NQKCURIIADIIATKfJyhDkk+xzpzHOls/uPTocSyUHHi32H2CM1TF0lc2y96msvgmHqkCCAk05NVRPFsWd6Zl3mWZAnZ4eaMNFfRAs1I9LJ2DZqtz1neh3KEyUYBHAABHAiDaMesJmalghXL5IWWog5zDnx8MbcGnDjVm77Ae7wN9zhDgzXuk4BAZwU2bJ1qjhxhm/yVHHSJHGsikQ0gbmPMLtDK9uxSbt9k2b7DvU+L4Y1X5MDAjgAAjiRhhHAQVqqmSXPOEOqOEOam0Uz+zwb/ayTVqbtMHu0A3cd4So38F8JaKQv6wMBnBhaqpkgjjnDN/siz7l5ck6f+gfD+2L3f2Eb2/G+fs0m7faj/EkoTJR0EMABEMCJFE0AB2GEx8mjT5crrhAuyaZZgQejDuBT0Vq2YS97oJI9fpQ9VsXUjMBpXBDAcaKi/DixfJI4brIwbrI4rkwqCXNbfDQBbGPsJ/jqSlXVB7o1VXzdMN8IxAEEcAAEcCLFJIB7K5WLL5MuHiOPLpfLrNQypNdGfmgTkFDPNvbgnnrcuE616QB3SBwB58cQwLGSQQzjpPLx4ugFnnPGiaO1VBP59MKhBrCIpX38oS3a3dvUuyv5kwROdlMSBHAABHAixTyAeysno+ZIM+dIM2dKp/ERLP0z7JNmgkktU3+SqTrOVZ1kqk9w1e04DYueQgAPD4uY6cLkEqmwUM4bK44aJ5XnyTko9oM036IIebCnRt30lvb9ddotHuwdzieBBIIADoAATqS4BnAQj/j5wrzLxUuKaIGZmKJfbGvQV0lIcmF3DVu3nv+qiqmpYWs7Gdtw3j2VQABHgqNciVxQLpaWycWjxdKp4sR8Oaf/bMFhjySHei1F9ARfs0t9YKd6/x7VN91MT5T1gEEiQQAHQAAnUmICuDct1UyRJ50mTztNnjpJmtB7Udz4nZEghBzYWcvU17J1TuyyYdtObu8JtlpZJcohgPuzyuYiUjDLN/UM3+xsYtURrYWaOBrtSsuRv9DDeL9S7/iPboM/dHs3gwBWEAjgAAjgREp8APemRurTpGnXCIsnyGONxBBJQYj+ohi4ps1MSwNubGCbGtimBqapgW1qYlpS9nLyCA/gYrngNGGKhqiyaVaxVFAsFxRLBQaqj+vfbf15sPcwd2yf+tAh/tghVWWYhSEhgBUk6QE8nJvbAIiGD/m2czu3czsRQixlx5BRU+RJk+WJU6RJBaRvedSYYygulPMLUX7FqTudjOR2puMAe7iZa2lh2lpxWwvT1sy2+hDcoxl3DMJZJDNfzi2QcvPl3Hw5p0DOLZDziuT8Aa9cDDtHKR7Ca0UkbtPs3abavU99uJI7OQJn4IN4gwAGySRjuZI9Ucme+ACtRghlUutccebl4iVlcome6ljUd3Fdv2iu5IXCIjaP5OaR3D5nwhKSRCzZkG0/f6iJaWplOjoZWzvT3oltNmaEnpUOj5Zq8+TsTGrJkbNy5MwskpkjZ5WLxYWkgKf8kNY7HVKORq6bsR/mjx1RnWhkWw7wh07CLUMgzmAIeiRK7hB0hFjElMjF48nYCfK4CdK4sXK5Gqn9T8VqVYQoX0gQkZEsYKGVaa9kj3cyNhvT3c3YbbinB/d0MbZu3BP9IkeKGIJWI3WJVGAkBg5xVmK2ELOFmKzEbCXmPDmnWC7UUHUMp0RFmb7Bl1NEm9iWddoth/jKQ6pjDWxzVO+LEIIhaEWBIWgABiYjUs3WVrO1/+HXIoRYyo4mZZcJF0+SJ5iJyUSMOqRLTE9CHe4ZxDCI4SlfLuvL5bIQL6Ee7G1jOhzY6WBcTuR0ME4XdpuJiUVsLdtQzdZ4sNeJXT4s+LDPgZ0+LCRx3JulrJ5qDVSvoWo10hiJXks1aqQpkvMniGPUSG3HdopoBjEaqcFIDRnEaJaNEZaaj5VhnwG3sG3HuKpjfNUJtqaBbz7KH4c7dEESwRnwSKSIM+BB5ZPccjJqjDRqDCmfJk7JpNZBhzETM3MnJudnFFEZEwd2eLCXYuRADoSQF/v0VGcmJhnJdsbRxLT0vjDpxh4zMeXLOQxiOpmuLqab7zUxGCOUJ+fmkGyMsBO7vNhLEdVRLUtZHvE6qtUS9bBzNMFToiJ8LcHUh7w1XMPn2g2H+WPHuCp7/KvZwxmwgiT9DBgCeCRKjwDuQ090FWR2gZxnJIZiUlQulxbQ/N4lWhM24BmrAdKEvVBxHzrgy53YXc3XVXG1NWz9Cb62hqtrYlsTH4QQwAqS9ACGIWiQJlyMex2zqfc3mkNcsVxYJpecK545RZ5oJAYNVauQKnl9HFw85halHwlLTWxrM9MiIdnJuPbx32zQbGtj03AdNJDeIIBB2pKQ5L+KvF71VfBBE80okgsKSUExKSiSC6ZIk/JJbuQVXuMqWWeTyUr9SC7lykiWsOzAzoOqIztV++rZpnq2qYlthZuCQBqAAAYjSw+293D2Q+ho7wf1VJdLcvJJbh7JzSM5uSQnj+QUyQVmakpWP5UiyjuCgi+niNoZ52G+so5tamZbm9k2/3+7lL+YKAChQAADgFzYXcXWVLE1fR7nET9ZmlBA8iilZmrKIVmZxJpDsjKpNU/OifnU3zjd3po6n+vDQi1b38y2tTLt7WxXO9vRznS2Mx1tbKcTuxLRAwBSCQQwACGJSNzHHdyHDg74rIlkjCdj1FTNUdZCLRaSYaImMzFZiaVELrBSK0vZIa0voVAUI0oJxVSmpJvtOcadbGbbbLinm+2x4e4uptvGdNsYezfTA1OTAOgNAhiAYeph7DuYPeHbaKnWSPQGZDASgxEZjERvJIYCmj9JGpdBjF7s68Y9HGIN1KChajVVG5DBIOuYfmtWDIpihKK7mhs8D5awZMcOJ3a5sceJ3T7s8zBelrJWYpGweIKtruRPOrDTzjgd2GHHTjvj9GDP8D8YgJEKAhiAOPJgj4f1tKGOEKtqDoxFjJ7oEEJ6pGcwZ1CZsUdACBmojkeqMqnYSPXNbJsbnRJ7eqozUF2JXMRRroFtbGM6fFg89W1Zq2zCiGlgmzqZLoKpgHw+RiRUdmE3QsjJuGBhCgASBgIYgJQjI+JfMsKOnJhh1bzLK367FOVWfmfyugYAiJmUuPsCAAAAGGliEMB33b7kxusu7f/4jOkT3nr10S///eJvlt3K83CqDQAAAHwrqgBWqfh77rzuumsu7v+URq16eMXSl//24VXX/dxo0N104xXRfBAAAACQZqIK4GU/uyk72/L52i39n5o5Y2Jjc9uGTbt67M4XX/3g4gvPjOaDAAAAgDQTVQA//9K7K373vMs1wB0IRYW5tXWB4pr1DS25OZlajTqazwIAAADSSVSXZju7ekI9pdNqfD7B/7MoSpRSlVrl8QaqnLKcmuP65DHGDNvvQRAfGCOENVpLsvsBIoIRAxtLKTBCaq052b0AEcGYUamNMbzzThQc8lBqKw0tgB/45Y8XLTwLIfTZF5sfeWJVmJZen0+tDpSd4XkOY+z1fltjnBJJFMkp/WB5igilcA9iImDMIIQpheXsFQAjjDFDYGMpBIM4QmQEt1MrAcYsoiSJC7QNLYAfeWJV+NwNqm9oPfesmf6fS4rz2jtswRNihBAhMkKnHFAE+ZQVA0Bc+esBi764FycH0cMMq9YYRTdsLGXQ6DMlDyy6qQxqjUmUPEmsBxyv+4D37D1SWpx//rlzTBmG226+eu367XH6IAAAAECJYh/Aq997+szTp3u8vl8/+NzN37/i/bdXCqL4yt8+ivkHAQAAAMqFR01cmOw+gETzD0ELPkeyOwIG5x+C9rq7B28KUoBGn+lzdcEQtCKoNSZRdKXhEDQAAAAAwoAAHokolWXZN3g7kAookQRvsjsBIiUJHjj5VQpJ8lFCBm8XN7BE80hEiIwI3NaiDJRSSYIAVgxJdCe7CyBScrL3LDgDBgAAAJIAAhgAAABIAghgAAAAIAngGvBIMWP6hPvv/UFebub6Tbsef+o1UTxl5v19d9/w3SsX+H+uPFZzy9KHktFHMMhmCv8sSDDYpxTnrtuX9Nidf//Hv/s8nqw9C86AR4RByzOPKi346bKVZy+4+ewFN8ORIlnCbyaosZ1SYJ9SltSsXg8BPCIMWp65rLSwqrohKX0DQeE3E9TYTimwTylLalavhwAeEcKXZzbodWaT4TfLbv3vpy/85U+/LinOS1I3R7rwmwlqbKcU2KeUJTWr10MAjwgDlmcOPjtqVKHXK7z65idXLvnpkaPVjzx4N8Y4ST0d0cJvpvDPggSDfUpZhlq9PjG9gklYaat38eaT1fVhyjMf/Ob4Rd9Z6v/5r6ve++7iBbk51pbWzsT3eYQLX0U7/LMgwcJvDtinFCSJexacAaetR55Y5Z8A8sgTq+obWosKc/yP9y/P3BvHsRhjQYDptUkQfjNFvhFBAsA+lTaSuGdBAI8I4cszn3fO7HfeeHx0eZFer71n6XX7D1Z22UIO14D4Cb+ZoMZ2SoF9Km0kcc9iLdmjE/ZhIFkkSf7m8Mm7bvveLTctrq1vfuYvb0uyjBBa/d7TtfXNX23ZazTo7ll6/c03XuFwuH7/+CqPB8Y2kyD8ZqquaRzwWZAUsE8p0RkV01xu74Fvjvv/mfQ9C+oBAwAAAEkAQ9AAAABAEkAAAwAAAEkAAQwAAAAkAQQwAAAAkAQQwAAAAEASQAADAAAASQABDAAAACQBBDAAAACQBBDAAAAAQBJAAAMAAABJAAEMAAAAJAEEMAAAAJAEEMAAAABAEkAAAwAAAEkAAQwAAAAkAQQwAAAAkAT/DyO/ipFri4Q3AAAAAElFTkSuQmCC", "text/plain": [ "Scene (640px, 320px):\n", " 18 Plots:\n", " ├ Combined{Makie.poly, Tuple{Vector{Vector{Point{2, Float32}}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ MakieCore.Text{Tuple{String}}\n", " ├ Lines{Tuple{Vector{Point{2, Float32}}}}\n", " ├ MakieCore.Text{Tuple{Vector{Tuple{AbstractString, Point{2, Float32}}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ MakieCore.Text{Tuple{String}}\n", " ├ Lines{Tuple{Vector{Point{2, Float32}}}}\n", " ├ MakieCore.Text{Tuple{Vector{Tuple{AbstractString, Point{2, Float32}}}}}\n", " ├ Lines{Tuple{Vector{Point{2, Float32}}}}\n", " ├ Lines{Tuple{Vector{Point{2, Float32}}}}\n", " └ MakieCore.Text{Tuple{String}}\n", " 1 Child Scene:\n", " └ Scene (578px, 267px)" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "t = range(0, stop=1, length=500) # time steps\n", "\n", "θ = (6π) .* t # angles\n", "\n", "x = t .* cos.(θ) # x coords of spiral\n", "y = t .* sin.(θ) # y coords of spiral\n", "\n", "p1 = lines(\n", " x,\n", " y,\n", " color = t,\n", " # colormap = :cool,\n", " linewidth=8)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And here's an example with a `BarPlot` where we cycle through the palette:" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "Scene (640px, 320px):\n", " 18 Plots:\n", " ├ Combined{Makie.poly, Tuple{Vector{Vector{Point{2, Float32}}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ MakieCore.Text{Tuple{String}}\n", " ├ Lines{Tuple{Vector{Point{2, Float32}}}}\n", " ├ MakieCore.Text{Tuple{Vector{Tuple{AbstractString, Point{2, Float32}}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ MakieCore.Text{Tuple{String}}\n", " ├ Lines{Tuple{Vector{Point{2, Float32}}}}\n", " ├ MakieCore.Text{Tuple{Vector{Tuple{AbstractString, Point{2, Float32}}}}}\n", " ├ Lines{Tuple{Vector{Point{2, Float32}}}}\n", " ├ Lines{Tuple{Vector{Point{2, Float32}}}}\n", " └ MakieCore.Text{Tuple{String}}\n", " 1 Child Scene:\n", " └ Scene (592px, 245px)" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "y = round.(randn(5) .+ 2.5, digits=1)\n", "\n", "b = Figure()\n", "ax = Axis(b[1,1], title=\"Title\")\n", "for i in 1:5\n", " barplot!(ax, [i], [y[i]], bar_labels=[y[i]])\n", "end\n", "b" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Though it may be better to just use the `color` parameter and pull from the continuous color map." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "Scene (640px, 320px):\n", " 18 Plots:\n", " ├ Combined{Makie.poly, Tuple{Vector{Vector{Point{2, Float32}}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ MakieCore.Text{Tuple{String}}\n", " ├ Lines{Tuple{Vector{Point{2, Float32}}}}\n", " ├ MakieCore.Text{Tuple{Vector{Tuple{AbstractString, Point{2, Float32}}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ LineSegments{Tuple{Vector{Point{2, Float32}}}}\n", " ├ MakieCore.Text{Tuple{String}}\n", " ├ Lines{Tuple{Vector{Point{2, Float32}}}}\n", " ├ MakieCore.Text{Tuple{Vector{Tuple{AbstractString, Point{2, Float32}}}}}\n", " ├ Lines{Tuple{Vector{Point{2, Float32}}}}\n", " ├ Lines{Tuple{Vector{Point{2, Float32}}}}\n", " └ MakieCore.Text{Tuple{String}}\n", " 1 Child Scene:\n", " └ Scene (592px, 245px)" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "barplot(1:3, y[1:3], bar_labels=y[1:3], color=1:3, axis = (title=\"Barplot with continuous colormap\",))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This looks better than the discrete colors. Note in the above example, I used `boxplot` instead of the mutating function `boxplot!` and note the *trailing comma* in the `axis` parameter call to make sure this creates a `NamedTuple`. Nuance!\n", "\n", "From the docs:\n", "\n", "> If you set only one attribute, be careful to do axis = (key = value,) (note the trailing comma), otherwise you're not creating a `NamedTuple` but a local variable key." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Julia 1.7.3", "language": "julia", "name": "julia-1.7" }, "language_info": { "file_extension": ".jl", "mimetype": "application/julia", "name": "julia", "version": "1.7.3" }, "orig_nbformat": 4 }, "nbformat": 4, "nbformat_minor": 2 }