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plotly_examples.html
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<body>
<h1>Plotly</h1>
<p><a href="http://www.plot.ly">Plotly</a> is a cool, open-source project ( <a href="https://github.com/plotly">github</a> ) to help people get interactive plots online easily through a number of various programming languages. It's essentially brand new and I'm going to document how well it works with the popular ggplot2 package in R. This post will be updated as support for more geoms is added.</p>
<h1>Plotly and geoms</h1>
<p>I'm going to test out different ggplot geoms to check for compatibility. Most examples will be taken straight from <a href="http://docs.ggplot2.org/current/">ggplot's docs website</a>. The master list of geoms is at the botttom of this post. Some of the plots have minor errors.</p>
<h2>Installing Plot.ly</h2>
<p>installing Plot.ly is easy. </p>
<pre><code class="r"># autoloads ggplot
library(devtools)
install_github("plotly", "ropensci")
signup("yourusername", "[email protected]")
</code></pre>
<pre><code class="r">library(plotly)
</code></pre>
<pre><code>## Loading required package: RCurl
## Loading required package: bitops
## Loading required package: RJSONIO
## Loading required package: ggplot2
</code></pre>
<pre><code class="r">py <- plotly(username = "xysmas", key = plotly.key)
</code></pre>
<h1>the plots</h1>
<h2>geom_abline, hline, vline</h2>
<pre><code class="r">coefs <- coef(lm(Sepal.Length ~ Petal.Width, data = iris))
p.iris <- ggplot(iris, aes(Petal.Width, Sepal.Length, color = Species))
p.iris <- p.iris + geom_point()
p.iris.hline <- p.iris + geom_hline(yintercept = 7)
p.iris.abline <- p.iris + geom_abline(intercept = coefs[1], slope = coefs[2],
colour = "red", size = 2)
p.iris.vline <- p.iris + geom_vline(xintercept = 2)
p.iris.abline
p.iris.hline
p.iris.vline
</code></pre>
<p><img 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" title="plot of chunk lines" alt="plot of chunk lines" style="display: block; margin: auto;" /><img src="data:image/png;base64,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" title="plot of chunk lines" alt="plot of chunk lines" style="display: block; margin: auto;" /><img 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" title="plot of chunk lines" alt="plot of chunk lines" style="display: block; margin: auto;" /></p>
<pre><code class="r">py$ggplotly(p.iris.abline)
</code></pre>
<pre><code>## Error: conversion not implemented for geom_abline (basic geom_abline)
</code></pre>
<pre><code class="r"># odd little error
py$ggplotly(p.iris.hline)
</code></pre>
<pre><code>## Error: object 'Petal.Width' not found
</code></pre>
<pre><code class="r"># odd little error
py$ggplotly(p.iris.vline)
</code></pre>
<pre><code>## Error: object 'Petal.Width' not found
</code></pre>
<p>geom_abline doesn't work. </p>
<h2>geom_area</h2>
<pre><code class="r"># Generate data
huron <- data.frame(year = 1875:1972, level = as.vector(LakeHuron))
library(plyr) # to access round_any
huron$decade <- round_any(huron$year, 10, floor)
h <- ggplot(huron, aes(x = year))
h <- h + geom_area(aes(y = level))
h
</code></pre>
<p><img src="data:image/png;base64,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" title="plot of chunk unnamed-chunk-5" alt="plot of chunk unnamed-chunk-5" style="display: block; margin: auto;" /></p>
<pre><code class="r">py$ggplotly(h)
</code></pre>
<pre><code>## Error: conversion not implemented for geom_area (basic geom_area)
</code></pre>
<p>geom_area = FALSE!</p>
<h2>geom_bar</h2>
<pre><code class="r">bar <- ggplot(iris, aes(Species, colour = Species, fill = Species))
bar <- bar + geom_bar()
bar
</code></pre>
<p><img src="data:image/png;base64,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" title="plot of chunk bar" alt="plot of chunk bar" style="display: block; margin: auto;" /></p>
<pre><code class="r">py$ggplotly(bar)
</code></pre>
<pre><code>## Error: conversion not implemented for geom_bar (basic geom_bar)
</code></pre>
<p>Nope.</p>
<h2>geom_bin2d</h2>
<pre><code class="r">d <- ggplot(diamonds, aes(x = x, y = y)) + xlim(4, 10) + ylim(4, 10)
d <- d + geom_bin2d()
py$ggplotly(d)
</code></pre>
<pre><code>## Error: conversion not implemented for geom_bin2d (basic geom_bin2d)
</code></pre>
<p>Nope. </p>
<h2>geom_boxplot</h2>
<pre><code class="r">p.iris <- ggplot(iris, aes(Species, Sepal.Length, fill = Species))
p.iris <- p.iris + geom_boxplot()
py$ggplotly(p.iris)
</code></pre>
<pre><code>## Error: conversion not implemented for geom_boxplot (basic geom_boxplot)
</code></pre>
<p>Nope. </p>
<h2>geom_contour</h2>
<pre><code class="r">library(reshape2)
volcano3d <- melt(volcano)
colnames(volcano3d) <- c("x", "y", "z")
p <- ggplot(volcano3d, aes(x, y, z = z)) + geom_contour()
py$ggplotly(p)
</code></pre>
<pre><code>## Error: conversion not implemented for geom_contour (basic geom_contour)
</code></pre>
<p>Nope.</p>
<h2>geom_crossbar, linerange, pointrange, and errorbar</h2>
<pre><code class="r"># From ggplot example: Generate data: means and standard errors of means for
# prices for each type of cut
dmod <- lm(price ~ cut, data = diamonds)
cuts <- data.frame(cut = unique(diamonds$cut), predict(dmod, data.frame(cut = unique(diamonds$cut)),
se = TRUE)[c("fit", "se.fit")])
# Display estimates and standard errors in various ways
se <- ggplot(cuts, aes(cut, fit, ymin = fit - se.fit, ymax = fit + se.fit, colour = cut))
se + geom_linerange()
se + geom_pointrange()
se + geom_crossbar()
py$ggplotly(se + geom_linerange())
</code></pre>
<pre><code>## Error: conversion not implemented for geom_linerange (basic
## geom_linerange)
</code></pre>
<pre><code class="r">py$ggplotly(se + geom_pointrange())
</code></pre>
<pre><code>## Error: conversion not implemented for geom_pointrange (basic
## geom_pointrange)
</code></pre>
<pre><code class="r">py$ggplotly(se + geom_crossbar())
</code></pre>
<pre><code>## Error: conversion not implemented for geom_crossbar (basic geom_crossbar)
</code></pre>
<pre><code class="r">py$ggplotly(se + geom_errorbar())
</code></pre>
<pre><code>## Error: conversion not implemented for geom_errorbar (basic geom_errorbar)
</code></pre>
<p><img 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" title="plot of chunk crossbar" alt="plot of chunk crossbar" style="display: block; margin: auto;" /><img src="data:image/png;base64,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" title="plot of chunk crossbar" alt="plot of chunk crossbar" style="display: block; margin: auto;" /><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAASAAAAC0CAYAAAA0A/FhAAAEJGlDQ1BJQ0MgUHJvZmlsZQAAOBGFVd9v21QUPolvUqQWPyBYR4eKxa9VU1u5GxqtxgZJk6XtShal6dgqJOQ6N4mpGwfb6baqT3uBNwb8AUDZAw9IPCENBmJ72fbAtElThyqqSUh76MQPISbtBVXhu3ZiJ1PEXPX6yznfOec7517bRD1fabWaGVWIlquunc8klZOnFpSeTYrSs9RLA9Sr6U4tkcvNEi7BFffO6+EdigjL7ZHu/k72I796i9zRiSJPwG4VHX0Z+AxRzNRrtksUvwf7+Gm3BtzzHPDTNgQCqwKXfZwSeNHHJz1OIT8JjtAq6xWtCLwGPLzYZi+3YV8DGMiT4VVuG7oiZpGzrZJhcs/hL49xtzH/Dy6bdfTsXYNY+5yluWO4D4neK/ZUvok/17X0HPBLsF+vuUlhfwX4j/rSfAJ4H1H0qZJ9dN7nR19frRTeBt4Fe9FwpwtN+2p1MXscGLHR9SXrmMgjONd1ZxKzpBeA71b4tNhj6JGoyFNp4GHgwUp9qplfmnFW5oTdy7NamcwCI49kv6fN5IAHgD+0rbyoBc3SOjczohbyS1drbq6pQdqumllRC/0ymTtej8gpbbuVwpQfyw66dqEZyxZKxtHpJn+tZnpnEdrYBbueF9qQn93S7HQGGHnYP7w6L+YGHNtd1FJitqPAR+hERCNOFi1i1alKO6RQnjKUxL1GNjwlMsiEhcPLYTEiT9ISbN15OY/jx4SMshe9LaJRpTvHr3C/ybFYP1PZAfwfYrPsMBtnE6SwN9ib7AhLwTrBDgUKcm06FSrTfSj187xPdVQWOk5Q8vxAfSiIUc7Z7xr6zY/+hpqwSyv0I0/QMTRb7RMgBxNodTfSPqdraz/sDjzKBrv4zu2+a2t0/HHzjd2Lbcc2sG7GtsL42K+xLfxtUgI7YHqKlqHK8HbCCXgjHT1cAdMlDetv4FnQ2lLasaOl6vmB0CMmwT/IPszSueHQqv6i/qluqF+oF9TfO2qEGTumJH0qfSv9KH0nfS/9TIp0Wboi/SRdlb6RLgU5u++9nyXYe69fYRPdil1o1WufNSdTTsp75BfllPy8/LI8G7AUuV8ek6fkvfDsCfbNDP0dvRh0CrNqTbV7LfEEGDQPJQadBtfGVMWEq3QWWdufk6ZSNsjG2PQjp3ZcnOWWing6noonSInvi0/Ex+IzAreevPhe+CawpgP1/pMTMDo64G0sTCXIM+KdOnFWRfQKdJvQzV1+Bt8OokmrdtY2yhVX2a+qrykJfMq4Ml3VR4cVzTQVz+UoNne4vcKLoyS+gyKO6EHe+75Fdt0Mbe5bRIf/wjvrVmhbqBN97RD1vxrahvBOfOYzoosH9bq94uejSOQGkVM6sN/7HelL4t10t9F4gPdVzydEOx83Gv+uNxo7XyL/FtFl8z9ZAHF4bBsrEwAAMaxJREFUeAHtnQecFdX1x8/usjTpoFINoIKiBhBsWFgFu9gLWCKiBntEJJa/UWPUqDExJmBA0RBjTcSIGGyIYgAbKE0BKyDVQpHO7rL/+d71PmffvjIz+2ZfO+fz2X3z5t36m5kz9557zu8WVDgiKoqAIqAIpAGBwjTUqVUqAoqAImAQUAWkN4IioAikDQFVQGmDXitWBBQBVUB6DygCikDaEFAFlDbotWJFQBFQBaT3gCKgCKQNAVVAaYNeK1YEFAFVQHoPKAKKQNoQUAWUNui1YkVAEVAFpPeAIqAIpA0BVUBpg14rVgQUAVVAeg8oAopA2hBQBZQ26LViRUARqJNLEGzatEm2bNniu0tFRUVSUFAgZWVlvvN6zVCvXj3Ztm2b1+S+09WpU0d27Nhh/nxn9pABfKijtLTUQ+pgSerWrWvKD0LQ0KpVq2CVaq60IpBTCmjr1q2yceNG34A2adLEPFzr1q3znddLhsLCQuEB+f77770kD5Rm5513Nso3SP+9VFi/fn1p1KiRrF271kvyQGnat28vq1evDqTkVAEFgjztmXQKlvZLoA1QBPIXAVVA+XvtteeKQNoRUAWU9kugDVAE8heBWrEBLVq0SGbNmiXnnnuuQXrFihUyffp0WbNmjZSUlEjXrl3lu+++kxdeeEEwJPft21d69Ohh0r755psyb948wU4zcOBAwRahkhoEynaIzFpXLOUeSHnr1i2SRlt2ONes2FPl7RuUy24NnQpUFIEECISugDZv3iwTJkyQpk2bmmawivLEE0/IlVdeaVaenn76aaOA/vWvf8mAAQOkRYsWMnLkSOnSpYsxSH755Zcm7bRp0+T11183aRL0R3/ygcDcH+rI8PlNZM9GyVf/CgsKHUP9Dtle2jBpDRtKC6Rl3QoZ03N90rSaIL8RCF0BPffcc3LMMcfIe++9Z5BevHix7LbbbvLVV18ZBTRkyBBz/ocffpAOHTqY486dO8uSJUtk+fLl0r17d2GZvHfv3jJ69OgqV+vtt9+WDRs2RM5Rri0jctLDAUvkrFQ1a9bMQ2r/SVjCRsIqn7KLi4sNniyVe5WGjqLo3FjkP0dWti9Rvjp1ipzRZz1nlTH5MvyUVQXy8KdFvvvLNWjcuHForgSJ+qe/pQcB73drgPa9//770q5dO2nbtm0k9/r16+WTTz6R5s2bC8vmpDnnnHPMMrhN1LBhQzMVY1nc5m3QoIE5Z9PwyWjK7VuDH4x92N3pvByTL2jeZOXbcu1nsvRBfrdl209PZTh6Z/12kVGLkpsCHd3gvAjKHMyTp/3SeSdsd2ZfvtryY4PJEySfp/5qooxDIDQFxNTrpZdekn79+skHH3xgfGCwBeFshlI69thjDRj33nuveeNt3+48CT8Kx/icoHSsgkHZ8HZ0C2W7BT+bIH4q2JcYQQTJ664/3jFvduoIq3zqZeSDE6YfP6CNG4pl3fbG8ucFyZVKZd+YqnlLu8dOZU5//flV7bTTTsJIOIizo53iV7ZT/2cLAqEpIKZNJ598ssEBD2O+o3xwGMPQjLcrfxyjaPiNY0Y/S5culSOPPNIoH2xAPXv2NFM2OxrKFnCzoZ0NiyqkpNXWpE0tdK5fPecaefE0X72tUDaVJZ/WJa1UE+Q8AqEpIOwq2G2Qb775Rj7//HPp1KmT+X7wwQcbQzTnjzvuOKOcTjnlFBk3bpwJh+jWrZuxHzBqWLhwoYwZM8a8GYcOHWry67/UIdDCMRb/du/k3uOsPjZv3lBWrkye9n/fFcs/vk5urE5dL7SkbEWgwBmFeFiETX33bNxStNGU4TfTIbcwJWOElEyYgrmN0snS29/tFCysUAmmYBjIMcCHJUFCMWatLZYRHzeWw1v+NP2N1z6/I6DyigJ5xOcqWE1CMTp27Biv6Xo+gxEIbQSUrM88lPxFS7Ty4Xcvyie6HP2eHIFuTUrlik6bPfkB1SkukIYNCpyRaPIl+26OqW4PD0v7yVuoKXIdgbQpoFwHNhv616BI5Mx2ye0/9AX/z+bNGzlTMG/ps6H/2sb0I1B9CJL+NmkLFAFFIE8QUAWUJxdau5kaBHATiHaITU3J+VlKzk3BgtiLMIRjjwqS18ttYx3rwiqfNtB++hFWHdbTOqzyLY62Hvvd6ydrKRZnr3mi03lZ7HjggQdk/Pjxctlll0Vn1+8BEMg5BRSE1bC8vNw8wEHyesHcGtvDKp828ADSj7DqQLlRR1jlWxzD7IOtI/pz6tSpctNNN5mA6SOOOEImTpwoI0aMkC+++EImTZokjz/+uAwfPlzmzJkjd9xxh8HhpJNOMo620WXpd38I5JwCYnnfr/Bg8Rckr5+6wiw/7D7YtttPP/32k5byg9RRk9HPrbfeKgceeKC8+uqrcs011xj2BbcipD24h7Rp00auv/56o3gIolapOQJqA6o5hlpCFiNAqA/UMCUlJSbU5+9//7sccMABpkcodYSYRQQlh6c+Xv3RYUEmgf7zjUDOjYAsAoVr10i9eXPt14SfhY7XtnNXSQMnfs2LbN+zi5S3+SnA1kseTZOZCOCxj2f+K6+8YniooIS54YYbTOzeypUrzch47tyf7iOUDwrJi70oM3ucWa3K2RFQ3YULpN6cj6TQWbVI9lfgROiLE3mfLB2/U279D2dm1lXU1tQIgd/+9rcyc+ZM2XXXXc0I5+ijj5YzzjhDvv76a2nZsqWhhbEVEJeIbSg6ENr+rp/+EMjZERAwlLXfTTadVBkQmwiWIifmrNAJ/9jkYdeKBlPflMKNP3EQJSpXf8sOBFAmKCACbQmMRpiGEZqD0d3NwnniiSc676p1RlFlR+8yu5U5rYAyG3ptXaYhYJWPbRcrf/xFi9p/ohEJ/r1WpmDwAD311FNVWsnKwsMPP+y49q805+GEHjt2rDz44IMye/bsSFo4of/yl7+YSHlrDIz8qAeKgCKQ1QiEroAsJ3R0lPqUKVNMdLj1K4ETGpKySy65xCyHkg/aVssJDZUHnNAqioAikDsIVB9fprhv0ZzQFL9s2TJZtWqVIZ631QXhhH7ssccM15Ato0+fPnLQQQeZr+WOXafCMS43dnw3kgkrGyyxevHyLYeV0Rm9NfFQbnS9+JGEJdYLOqzpAfhQR5h94DpAK2KXv8PCyl1uKvy/cDStiR+Suz35dhyqAorFCY1DF7tkXHTRRcKoB2G0455re+WE7t+/f4SylXJw47e0p8Wbt0ihwyO0wcNWwlCBcvOjBJNJsWOoLHB8R7Z7KNeWxc3JCottmz2fyk8I7/Fp8cJYGKRelHPYWzOjfLgGdlTsp52tW7f2k7xKWmhsa6L0uH9i0chUqUS/xEQgNAUUjxMaZkQUDKsOMCJ++OGHgiLBr8IKx144oSH5cksVQrKyUqnjhCZ4sRvZkY+XtAXOqkhheZmncm3bbCiGl/JtHr+feO6i3MOsg4c07PJRovRDJT8QCE0BMaKIxQkN3SqjAYRRD0ucdvqQak7oQmfLnuLPP016JQsa7mQcEYs3JB8BFTlLsxV1qzI2Jq1AEygCikBMBEJTQIk4oS039Pz58wWFRNowOKGLl3wldb/4LGbHY52s3Dox1i9Vz23pVcl1XfWsfstmBAr/PlYKFi3014XCIim/drg4ZOf+8mnqCAKhKaBIDc7BLrvsIrEI5QcPHhxJtueeewp/DL/tfJqpC3uGBXV7r3AUW3nT5JsNFjn1OFZEE00eaVCcg8It3sI14mTX0xmKQMH338mOM8+Wik67e25h0UN/FdmUnKTfc4F5mLBWFJAfXK3yceexNhr3OS/H2/fsKhtPOyNpUktKv049oZNildMJGjcRJ/bCexeLqnuxQNlx1llnCYZpKzfeeKN5kdrv9vOFF14wYR5sU56vknEKKF8vhPY7NxDAiL7XXnvJiy++GLND+MNZVwn83lg8sBJ0pG/zZ+OnKqBsvGra5tQj4CzFF0yZLAWzfAQa47axdYuntkB69n//93/GHEFkAArqvffeM5twDho0SM4++2yzqy18Q7io5IuoAsqXK639TIwAMV8tWkqFY6/0KgWfzGcpt1pylA1R8wj+WYQTffvtt/Lkk0+a/eFgVyQSgNgzRkC4N6xevdpE2bN6nE9SHb0s772NXC6uUyxspme/J+oWdicuvJe0uAwUFFW6DyQq0/2b9ZL1Ur47n59j2k8/wqoDOxz9CKt8+kr5rIgGeQh5iC3OfnCLpHXcQSp69JSKrntFTiU9eGe6o4Cqu2T07du32hSsRYsWZiGG/uGQyoKLW7p06RKo3+4ysvE45xRQxFFOHRFTfj9msiNijZRPypGqXuC1115rqFxxnoXQ3m37IXUQpVu9luw7k3MKKPsugbY4YxBYsljwdPcsjsHZq5x77rlyxRVXCCMhQj9WrFhhpmde8+dqutxWQHD6ulYZ4l5E0uAL5CUtZarkHAIVXfeWwk8+FuHPo1S02tnZLrZFldSQ28daAWMpnjg9psnuuEeb+eWXX7aHefWZswqowpnT13coWfnzKq08Jtx8RInHlJosWxDYMeCU0JsaTXgWeoVZUEHOKqBtPXvJtn3283QJmjgUG7yZvl+zxlN6J7G3dJpKEVAEEiKQswrI9NpZufEkzsqEUSpe03sqVBMpAopAMgRqRQHheDVr1izBEIdwDA0Hln92otxjjz0ESlZc04mIZxmzR48eJi0+FPPmzTPbpAwcODDUZWBTof7LOwQIxVFJDwKhKyBLydq0aWWsOQrmrbfekl/96leGQGvUqFFmG1zIydiTiVWCkSNHGrZEnLMsJeu0adMMJStpVBSBVCJAeAQuBkEFfium8Cr+EQhdAUVTsuLQ9stf/tKsBOALsd6hTeXiB6Fk5cZxs+cRhxPEn8JSagbJ6wVy66MSVvm0gTroR1h1WFK1sMq3OFJ+kK2Zbf4gn9x/NVFAQerUPJUIhKqAYlGy8qbgD8Xxz3/+U4455hjDsudemvRKycquGvhTWDnuuOMCbxjHA0y9YUq7du1CK57246WM639YQh1h9wHqFpX8QSA0BRSPkrVr166G3wdCedzPsfcwEgpCyUpMjVugZF26dKn7lKdjS8dB/jCE0QMesEHa5rU98CnjZ4KTWxiCcmvevHlkG6Uw6mjfvr2JiQpCydqxY8caNWnBojHy3fezfJVRUFgsvXv8tgr1hq8CNLGEpoAYSseiZGV4/cgjjwgOW+w+iZCWqVmqKVn1+ioCXhH4cvG/ZZedD5KmTarGaCXKP2f+/bJh41cOhdDPEiXT3xIgEJoCikfJyuoXe2tjv3njjTdM06655ppQKFkT9Ft/UgSqIdC+7bHSpvUR1c7HO7Hg00di/kTk+3XXXWf2lic2sXfv3nLfffcFnuJ//PHH5qX95z//OWZ92XwyNAXkBsVNybr//vsLf9ESBiVrdB36XREIGwEWQuA3v/vuu6WkpMRUd9ttt8k999wjd9xxh/mO/dNt87RtctMR23MoMMwTKLVclFpRQH6Ai7WcGZSS1U+9mja/ESgr2yKrv5nhPOzrPANRWrrRWbGrGrwKyRj2KKt8KOymm26KbKB55513Ci4lGPQHO5zocJ5/9tlncvXVVxsqEtxV2IrcmjC497GnRm9B5bmRGZ4w4xRQhuOlzctRBEpLf5DlKyf7MkSXlq53NlHYUAWR2bNnCwstCCOau+66yxyzOnnBBRfIjBkz5JVXXjGrwEzN4I8ePXq03HLLLXLYYYfJgw8+KM8++6ywIHL88cfLr3/9a3nooYdk+vTpppxc+6cKKNeuqPYnEAINGuwq+3e/1ZcNaMKkQ51RS/Mq9bGyi3sJwupnr169jCIaMWKE2dYapYMwBcOlYcGCBfLaa6+ZKRrn2V4cexEbc55//vmckkMOOSRnFZDDQaGiCCgCqULg0EMPlblz55ppFtMoPPdRSggjHHzjEFaDWZDp5OwphtL54IMPzPl3333XhCZBbG/TMqrKVdERUK5eWe2XbwQqKsqr2XQSFhIjfIMdLyZOnCiXXHKJcSuxBuexY8eaEc/BBx9sjNQrV64UjNM4v2L/gbAeITKA6AH8rk499VSzhXmYzqUJ+1cLPxY4LujBg2BqoYF+qmDeHMSJjT2ceFsRDhKGYHBkO+pVq1aFUbwpk5uUFRicEcMQjKFMC9Z4pSwJ0AicKeFLdofXeC0GfMHZr3D7c91fe+M0WfXNNL/Z5aTjpkr7dr1jxoKxekVfoj3sOc/9xp9bMDZHp2UVLEwebnf96TjOuRFQhBPaB5p2lS1IXi/V2DiqsMqnDXiTo3zDrIOHNezyUaJBXiJBlI/72vUr+beDoT/lXVBQ5NhyGriLqXLMfWXvLfcPsc7xe7Ty4VwuKx/6l3MKiE6pKAJ+ESh09nkvLGzkN5umryECgYzQsWKmvvnmG7N0WMP2aHZFQBHIIwR8jYDs8BsnK2u1Byss+oRTEI0+2HGuUlEEsgkBDMc1MYXWdPqXTViluq2+FNCJJ55odnSkEW6CbS4APg3W1TzVjdTyFIEwEeDFWhMFlOt2mjCx96WAJk+ebIydv/jFL+Txxx+PtAsjqzW0Rk7qgSKQJQhg9K6JAsKoHL2ilSVdT3szfSkgRjp4cD711FO+Gh7NCY3351sOLStLlLiit27dWjmhYyC6qXybrI5y9Y+RzJxau6lctm3dJpu3bo6XJHKe1erd6raQooJAJsBIOXqgCNQUAc8KiCC7oUOHCl6ZkIjhSBUtBNFhB3JLNCc0w10cta666irjU/LMM88I29YqJ7QbtcrjP62aIm9v+EwaOMRXyaRwWaF5i3t5k693lpt/0/YE6d/Uxz7oyRqQ5b/P3rBUvtriL+K8jrMMf2zLfWWnLO97OpvvWQHhIAbNAHLhhRdK9+7dq7W7c+fO1c5Fc0JDNN+hQwfj84DfA45zjISCcELjyu5mAIT2A2c2vwJ3EUNojJFhiDVS+i2/ok6BXLvb0TJw1wOTNgsnQaYS+NEkk6sWPSmF9Yp99ReWAqbZfvuQrC3u38EJp9DofdPdacI6vvPLl6TYWYpvWexdnbyz7gvpUL+FHNq4csOFsNqWy+V6VkA86FOnTpWvvvpK7r//fmG7nGiJdqSKxQm9bt26Kg5XGLPZksfNj0I5sCOStm3btqYa0nHOLcuWLavimUsaaD39CnXzcKGIwhS/5fNArtuxVVaUJ/fQrudMv8rKyzw9vNuckIPi4jq++ouCDhsj+os9hVXV2pcKuaZDfzmk2e6eqz7xoz9LdBjBaaedJr///e+FWC4rZ599tjm3++7ey7Z53Z/gQsgGzxUzC164RM93rAEdLRtE3HzzzTUqw91Gv8eeFVD//v3Ndjns14UyijXaeeKJJ4QLgADQSy+9ZEjiWbLHdwhbECsG7rc0b224hoNwQlvKV9tp6kCZ+ZUgnNA7dpTK628eJqVlyZWD3/bUr99a+vd9U37YuklGfjdZRi6d7LeIhOkbFBRL/532lO+KvGPFdeM6BcE3YWNcP/LyYKQdxBOaEWAmyFFHHSU8B/D+IPCA82eVD6M7FLkdFds2c//H85C2aYgZY/ZgmUT5ZDbCwMAK2EVzasU6x6yDNjAjCYK3ra+mn54VELFGGI4RdrKAQiCR8Ma0CoLO8h2AW7ZsKZMmTTL2Crv8yciA37KJExoFtL10rRxd4pBLFSaGkRuufbv2svTrpYkgM79t375Gpk6vnOoS2eTcquYvWUZuJvM29hDaV+ikVamKALazLeXbZWPZ1qo/JPi2IwbWUGgQ3f673/3OPOBQcwwZMsSUAqUqZGS8gC+66CI5/fTTTdAqI3lG+9AUz5w507i4QN9x9NFHm2eNzCgoeISgM7bSr18/o5D4HovUDKV83nnnmcEAz9/tt99uNvwcN26c4RjipRLLlmvLr43PxE9OnBYkUz5kQ6lY7hO8pD///HNDPcBvnIeECcCtXYlPgEFZdevWzWwvw8hk4cKFMmbMGGMjwgieaVLXWU0q9KCAGjRoJfXqetixwnVT13eMz8Nb95PTW/RM2m0/u2KMWPp80vLyLcGybWvlykVP+O729w4rolsYJfbs2dMQj0HNMX78eDNCYWT38ssvy6uvvmqmmLzEUUDc76wEX3zxxXLDDTfIhAkTzHdGN9C4WuE5cLMisrHD8uXLzYsc/ulYpGaYL/bbbz9DdjZnzhxTHgoRhkZGZSilMLdZsm1P9BlIASUqMNZvbk5ofj/88MMNyRIjA/4Q5YQ2MFT7t7XCMdCXJ38r1y3dLFuct/cmD2nLJB02lmpdy6gTGJOv2+1Y3zaglsXVp34oE6Zh3NsoIwz3bDuO/dS+cJkmWXaEvffe22DBqIiRD7SsjH5QEFaYwrFLsBVsTLivwJgI9UcsUrNWrVoZZUYeFo3gGkJpsRW6naaxO006pVYUUKwOuo3O7t8tMO5zyebG7rS5dNy8TkP56+q3zF8q+8UE7Kzm1TcGSGUd2VgW09ho20yifsRLix2IUQbTOpQDAqshow1GOBiToWrFHIFYRYNSYTUY7iCmcG5hdZCZA9M43FZ4iUONYlcMLakZn5bU7Oc//7k5pj3z5s0zCgs7G7MRa3NKN9lZ2hSQG9xsPn51irc3CG9DT6s7zk0LMRYyzJl+8edF/EzBvJSnaYIjgGKCCfH55583UyNKgq+IUQ0kYyiNkpKSyCjEXRM2m0cffdSYIdznOcYBGDMEigj7DdM6NudEscUjNbv88svljDPOMLYjdhJG2bGKDTvjvvvuG1GC0XXV1vecIyTDruRXgqyClZVtlpcn9/Bblcf0hTLguIUe01YmC1sB2VWwMI2W6dgZlVEKo44z54yS8ood0jQBv0/0BZm94WsZt8/F0qf1XjGVSXR6vmPzQeLNALDloCQuvfRSky7WP9tmpmrREovULNY5RkDW/SS6jNr8riOgGqJ9+CHPO8P2n+bqsYpj9MN83b2Pfax0nGOnhXc+qFw1iZdGz6cegd/tfpos3epva+4L2vSRfRpV+ql5bVE8xUP+YcOGGT5p3FcSCSOsWMqHPNG+ePHOZYpZI+cUUKILHO+ioiC4qP7yVkLXovm+SVfBKHvnVu2cWK3KOX+8dnB+27bvArRFTB764a8PiVpS9Tfeyv4xqlqGl2+0nze8XyEP7Qsqe+3URvhLpzzwwAPprD4tdeecAgpy81rk/eS1afm0x7aceJ9e0tk09jNeWfHOB80Xrzx7nnLtnz0Xxmdt1BFGu7XMYAjknAKyqwJ+4MA4zI3vJ69Ny2dFReI3LyMTxOZJ1Lby8solci9p3eXQfvrhN5+7jETH1oAeVvm2bsoPUkdNRj9ubivbDj+fdhXLTx5NW4lAzimg2rqwlXafAsdreUDSKs3UxfH7KHUMf8mEFbBkjo3JytDf/SHA9UGBq9Q+AqqAAmJeVFRP+h460VnVqOoJG6u4wkK25Wnt2e29uLj66kascvVcahBglagmCggfHTvKTU2L8qcUVUA1uNZNGlfueJmsCG7ONq13c4zQi5Ml1d8VgbxCQBVQXl1u7Ww8BLY6vp8bSuP9Gvt8Hce017xu7N/0rDcEVAF5w0lT5TgCQ2YUyew1uDN47+h2Z71g4pHl0ss7h5n3wvMkZagKCHoNgvCgGiDYlAhgZP78+fLOO+8Y71HOEbULzwxpyQPlK7xDCMRnxLHgrTxw4MCc3ynSdFr/1ToCm50R0NhDdkifXbwbo4+bXORQeNR6U3Oqwsr14ZC6hPKAWuPKK680AXBQALDEiqfn4MGDDX80wXkInNDHHnusCd6DsgDDINHDRACTv1OnTvL666+H1FItVhFIDQK8WLt27Wqi4ImEh8gPPvVUyI033iizZs1KRVEZU0aoI6CTTjrJdJSgufXr1xu+X3wmWHGAFgCeIEtTGoQTGqXlZujbf//9hQhgv4L3LYZiaEPClDDLx7WefsRyxU9Fn8CH8sPsA3W0aNGiRitSqehrTcqA47xXr16RnWOmT59uyMc++eQTU6yNQrd1EBsGrm6BqI/YOwTyMvuMEGGf7PrybMFwyP2A7xZ/0eW760r3cdWeh9AaFMuTTz5pOFEAFYBQEigPLhbRwYx23CB55YQmmpcyrBAfE80bbX9L9IkjGooxSN5E5drf8DOxfbLnUv1J+7m5uXnDEGhSwsSINvOgcT2DOCImezCTYbLauY3umOuQ7iffgCRS1PLNImuT7AHQsWNH83JbsmSJwA0NnfH1119vItgh2qOvvDhvvfVWgZ+ZYGpe2ODAcwIDIuYHdo+B+2ewM3OA2hgqDojIoNP405/+ZOg9zjzzTBN1Tx4i4KFCJh3R79B3ZKKEroAAjy143nLoXPmDoY2pGGACPrwnMMHx8FjhGDpJFIPlj0arR+/IwPTOLXBCB4mG58HiAQtLAfFmR8Iqn7J5AMEqrDp4eXA9wiqfPsAmyIMXhKM4yG4o1GmlmbOadXL7HdKtmT2T/PM3HxVKUydftEAajzIBqxkzZshtt91mXrzwL6McuN/g6HnxxRfNfQ6v89dff22eB2hW4RCCugPajb/+9a9SUlJiRvo8L3ZUY5U0L3QbYU/5jLiY8kENiwljypQp8u9//zs/FRAdP+iggwyVJMChVBgaWtd3Hkw7+uA8F4wHCQV15JFHmgcKGxBzacC0O2REX3D9rgjUFIF6DqFB9+biywjd0Hl9Oz6m1QTGQRQQL7Wf/exnhl548eLF0qVLF6N8WJSBIhXuHwQFYqdodjcNyMrsQgyOju7tp9wV8lxZoV5mEu68vLSZhWSqhDoCggUOLc/bk2nIoEGDzDFvOrZ25m3H0BDlk62c0Jl6YbVd6UMAOxajl2hh5IOwwQPKAtpWFMRjjz1mVon5zabhOJ4wVWVqhXz66aeRZF7yRhJnyEGoCgiCqSuuuCJC/2j7jLJhmA1gdnqinNAWHf1MFwKTVhTIJ+u91772J6uB90w/pmR/L17IjG4YKcEH7VWYpkFYjy2oprYvr3WGlU4ZER1kgzAi+rkgKFl2NGAYHpYoI2LHQNBiQ2GK8pTD9z5vXYz5VIJSi53kw7rtkHbNK5VIgqRxf2IWYE0ScRPF+IF2My2LtovGSJrRp0IdAWV0z7VxioALgUGdKmRQtX1OXQlCOgyifGgKJo1sVz70I1RHRCpQUQQUAUUgHgI6AoqHjJ7PGwSwRTKlCSqMRlSCIZBzCsh6kPqBwzrZBcnrpR57g4ZVPm3gIaIfYdXBSiX9CKt8+kD5rPAEWc1BgVicKcuPYAhWSQ8COaeAgngC83AhQfJ6uWx2pS+s8mkDjmmsLIZZBw952OXjTBnEETGo8gE7jNA1GQHZlSzKUvGHgNqA/OGlqRUBRSCFCKgCSiGYWpQioAj4QyDnpmD+uq+pFYFKBDY/7oRELPCJhuPY3OhaJ4+akHwC91NyVUA/YaFHeYxAmRPRUNcJGC/q5B2EzaNFdqx10v/Mex5NWRUBnYJVxUO/5TECRbuJFO/t/U9iRMITkT5gQPWtmghO9esJD5lZrkuoIyCi22NRsrJHOrQBBNRBNQCDnFKy5vqtlh/9YzWS+9sKke6s0KGY3Kt7HOM24RZoaFiNswRkkPbluoSqgCwlK3QaDz30kEA10KZNGxMFDM0qF+bpp582CgiCMt4cRBKPHDnSUBdw0Swl67Rp0wwla6y3S65fJO1f+AhUbBLZPs2xA/0UXJ600ooNIhUJCMnGjRtn7nt8p1auXGnKQ8kMGzbMKCSoNO644w7ZZ599DH8PxHzwAhFseu+99yatPxcShKqAYlGyMgwlMBN+HxTQkCFDDI74YnTo0MEcd+7cWWCQ4w3QvXt345gGvcHo0c6k2yVcQLf/hvvYlUwPFYGkCFQ4tDoVDitiRfJ9JiNlkUf4iyGMfKBQhdsKx8p27dqZVK+99pphLRw1apQhJyOqnT+mW0TEf/vtt3LAAQeoAoqBaaBTKBY3JSvc0JAvwQmEUxvsceecc04gSlbeEu7hLgoPYvugEnZwX8eOHYM2zVM+HOJatWrlKW3QRGH3wT6oQdsXNF9hY4cS9mjH/rOv9xJK5zne2w1ip+flCeePnWYdeOCBJuHkyZMNY6Ell4eJgftu5syZhnaVGYKbZCx26blzNtQREDBFU7IyyuEms4oCJQLgQShZhw8fXmUEhHJj5ORXaCNMcpbkyW/+ZOnxhKbfQdqWrGz7O4oHhR6POc+mC/rJNAIirVWrVgUtImk+7gs2KnDbSpJm+jEBzIOZJHBhff755xEuLLibEQj4uN+YejEtGz9+vNklBloOdoPhXJCNFTKp737aEqoCikXJyk2GcZrpEn8cQ0kQhJLVhlDYDgcNKrRTN/tpy0vVpy3Xfqaq3OhyKD+sOmy59jO67lR9D7MPydq441snpGVpslSu38tcx1GH3IuQwR922GHC5gnQpCInnHCCUTgQ1PPCu/nmmw1P+h/+8Ae5+OKLjfJldsBzkQ8SKiHZsmXLYlKyQtQNOTdvO2hb+/TpI5999pkwP2buDNk8pNyMjFBicOgylRs6dKh5e8S7MEFJ6XkjMVQmfxiihGTeUGXUEL1a5C2nSNCpIQqPe2vj35ztbD72WltlugIcEW92Rvmd4hOSMbJndG3jAW0NsYjIaAf3Yj5JqArIAslFiB6toFz4c2/HQ/p4y5PR+W3Z7k9VQFtCnYLxZrarOW7cU3WcTgVUk5GdBqMGvwNCnYLZZsVSHrwRot8KpLdGO5uXz1j53b/rsSKgCGQnAuoJnZ3XTVutCOQEArUyAsoJpLQTOYtATd0vasJFlLOgeuyYKiCPQGmy3EQA5aEKJH3XVqdg6cNea1YE8h6BnBsBBeEsxvCN30aQvF7uIPuGDat82kD76UdYdbAQQD/CKp8+UH46OKGpWyU9COScAgrCWWxX2YLk9XLZ7GpfWOXThkzlhK54tb7IisotiZNh9V3DLY43txNetcND+jrOLhZnbZYCp3jEKvnKb/o/WxDIOQWULcDnTTtnOKQ5PUpFWsaJ2nQBUbdZkWz7oRwN5Dob53CCE4R1tKOtWntIG6cIPZ1+BFQBpf8a5HYLCFfY6OybVeT8JZHyHU4oySbHLFnuYY+uAg9pktSnP6cfAVVA6b8Gud0CZ0Aj79bz1McN4oyUYtEMxspdrAooFizZdk4VULZdsWxrL+acn293gqaSKwxCGoiRIkQnqXxYlU0waXpNkJEIqALKyMuSQ43iDuvszMNaJVcq9Vs6NqB1ZbLDoTVNKh+pAkqKURYkCFUBxeOEBhfecmPHjjU0rJAwKSd0FtwtQZrY3ZlWLfCmLDbWK5Xy7U7aCg+3ZWdHSTVJPqoK0mTNU3sIeLjSwRsTixMaOlZkypQpZpcA6DcQ5YQ2MOTcv4LTHZ5Tj7JL+2YOHccPgQjJPFahyTIMgVAVUCxOaPoPTxDMel26dInAAReKX07oRYsWVdmrHBtCED4V/IBw5GvYsGGkPak8sD4qYZVPW2k//QirDsrGnyms8umDdXSMxYjA7yq5h0CoCgi4UCxuTmj4fiZMmGAIuBn1IOwG4OYF4iZn+gYRWdu2bU0aWBOjWeLg1WXqZgUy7yCcwtTNzV/ToETbjnifYZbPQ4uCCOvhpWyUXJh94BrwEqkJN0887PV8ZiIQugJiRHLVVVfJW2+9Zf6AAQUDCTeMiB9++KHZESAIJ/S5555bBVUIyWDU8yu1xYgYpG1e+7LzzjubFaQwOaEhJAuzDxCScQ2DcEJ3DJnw3+t10HT+EAg1GBU6VbYlQTA6N2rUyNCt7rfffkYJMfIgtohPhviMcHj7kad169bCDWl3k2QbHzsa8tdFTa0IKAKZikColKzxOKEtGOPGjTObsGH7SQUntC3X7yejM6ZyZ555pt+sntIzxbz11lsNSbmnDAESPf7442aDx4MOOihA7uRZsLexa8M111yTPHHAFHfddZfZJ45VUZX8QCDUKRgjmCuuuCKyNUk0pIMHD46c2nPPPYU/Nyc0dgf2DIvFKR3JmIID6gwy7PdT9bZtCbbQ9FNQnLS0n4DUsIQRrHuaHEY9YOTJCTGMyrXMtCAQ6hTM9ojplVeJZUT1k99rPZpOEVAE0o9ArSig9HdTW6AIKAKZiECoNqBM7HCsNrEfN9OLIEv4scqLPsfUiO2oMb6HJRjuMfK3aNEilCo2bNhgVi133333UMqnUOxM7HAaJulZaI3XggMhoAooEGyaSRFQBFKBgE7BUoGilqEIKAKBEFAFFAg2zaQIKAKpQCDUZfhUNDBVZUybNs14YrtDPi6++GLBgzha5syZI+vXr5cjjjgi+qdq39977z3j1Q3fM24DJ554YpUYN3cGuG4eeughGTZsWGRXWGxPf/vb3+Tqq68252bMmGGI2Xv16uXO6umYJeyXXnpJlixZYmxa2ITwC3rxxRcju8sS6jBgwADx6jk8cuRI48keqwGE1PTs2VNsgHGsNJwjHOepp56Syy67rEqSIH19/vnnTZ/CstdVaaB+CR2BvFFAPPx9+vSRo446qhqoPLj40bAjA7L33ntXiUciYt+tuGwBhJHMmzdPLr30UvOAr127VkaNGiXXXXddJGgTAzQxVAjxbE2bNpVPP/3U+Dxxfvbs2cbwivKiDbEIuSiDOCnSJJLnnntOmjVrZpQZ6TDqjh8/3igI63OFw+cTTzwht9xyiymKvlG2baNtL23BJYJ4PHtMBvfxMcccE1FsprAY//BsJw8KHZz5Tl2cQ2m7475s3e5ioq8NoSaWQcGdTo+zE4G8UUDxLg9e0HPnzjUPBTc2IxG+r1mzxiiLd99917zBUTKEh7iFUdXAgQMjDyGxUpdffrlRZDxM//jHP8xIBMVxwgknmNASvHzxWmbUwFuc0QojrXvuucek5QGjHEYvPXr0kD/+8Y+mbdT9xRdfyIgRI0x9//nPf2SvvfYyypI20XZW2m6//fZIE7t27Wo8zRcsWGBWsAiN4YFHGSxfvtyMSojHY+UMXyv+UML8zie/oRAffvhhozBoLx7jrFJddNFF8sILL8jBBx9s4sPw9ka54/0O1QqjrEcffdQErxI/hpPh6NGjIwqNOslz2GGHmbYzsmGkRPsYRRJ2E+vaRDqnBzmBQOJXak508adOvPHGG+ZB52HnAUa44a+88koZOnSoUQA8YPZNzW8og9/85jfVlA95V65cKa1ateJQFi5cKJMmTRIUFudRBjxETDtQPq+//rpJx+iHkdCQIUNMzBujgLfffltOPfVUadmypVEqhx9+uPzvf/8z6VEG5513nlF0++67rxlx0T7KQcFY4SGnrVamT59u2sMoiDg6yN/oDy4H++yzj8yfP98oWZTGTTfdZPpMu/r3728U0AUXXBAZmYEPI0CUJgoWRYGipDyLFZ+IPccx6S655BI55ZRTTJwfXvGUg4c8it5Of8GOKHvSggOKB6Gs6GtjftB/OYNAXo2A+vXrV20KxugEGwwR+ryRGbm4Zdddd3V/rXKMwkBh7bLLLma0REzb+++/bx6sL7/80thHyGCDankgme5gN2HqxjHlk5aRBpHgTE9QJkzVSM8Dax9U7DmMOhiBMPpxT8lQhOS3QrlE+aMQaSfTw5NPPtkoTJTQf//7X1NX586dTb/pB4qTMph6wdcEJiglBNuRtbswUooXWoLSsEK76Q/lWG92+mQx7fhjBDsKiJGgDVy2dSa7NrYe/cxeBPJqBBR9mYi+nzp1qolXw0bCw+5+gEjvfsij88M/hIEXpcXUqlu3bpH0e+yxhyxevNhkWbFihVEGKASMzr1795aPPvrIPHRMs3hQeehROowyGAF16tTJPPTu+pmGMWJ655135MADD6zSHKZM5IWFEqF+lAsjEx5oRktM01AGtAulhFLhmHPUTR+IvbNKj7riKRp35aRHeSNM26y4227PMUqzvE5MAxHaikJlFMqUFmdEL9fGlqmf2YtAXo2Aoi8TDyAPHUZZlAjfmfJ4lb59+xqFcv/99xubCW93vJ354+F79tlnzdSH0QUPFoLhFnsHb3ymHUyHGL1gL0Kw12BHQcFYw7D54cd/KD0UEO2OlgsvvFCeeeYZue+++4xCQykw2qJdtHXixIkmC4rl9NNPN9MxRltMz1A0jKyw36C0nn76aYOFHY1E1+X+jnJjiklZdqTj/t19XFJSYnDBDmYVEYqbKeFjjz1mzoFRTa+Nu049zlwE1BPauTY8kDV1/+dhZyQRLYx4Yj2Usc6zMmRHDbGUD2Vj+Gbqduihh0ZXFfnOKI4+xVIesep1n7PH7tWuSMEJDqjTKrEEySI/xSrf1h1J5Byk4tq4y9PjzEJAFVBmXY+ErWFJnekcU5VYSi1hZv1REchABFQBZeBF0SYpAvmCQF4bofPhIsNiiF1HRRHIRARUAWXiVUlhm8aMGWOcDlNYpBalCKQMgbxeBUsZirVYEE6UjzzyiPGUhp+ZeLa7777bOCHiJIjceeedkaV9VqfwBcJwff7559diS7UqRSA5AqqAkmOUMSkI6BznEPmzRI5PEUvrOFfie+N2oGQ5nNW04cOHG49vQhvOOuusjOmHNkQRsAioArJIZMEn4SPshWadEIl8j7XUbruCcyIOjvjUcKyiCGQaAmoDyrQrkqA9xHVZ5UMynBJtWEOCbPqTIpCxCKgCythLU71hhDGghKwQdkFMGdMtd8gEsV4qikA2IKAKKBuu0o9tJFKdYFQI4gleJXrcBrRCjIY3MgGlNpqcbEy/4PRRUQQyEQG1AWXiVYnTJpgUZ86caQJVCR4dNGiQQNHByAjjNNHqnD/++OMjJRDYetVVVxklBK2IiiKQSQioJ3QmXQ2PbSG4lNi16HAMpl6WusNdFPFUGKPjxZe50+qxIlCbCKgCqk20tS5FQBGogoDagKrAoV8UAUWgNhFQBVSbaGtdioAiUAUBVUBV4NAvioAiUJsIqAKqTbS1LkVAEaiCgCqgKnDoF0VAEahNBFQB1SbaWpcioAhUQUAVUBU49IsioAjUJgKqgGoTba1LEVAEqiDw//xG+A3YeZikAAAAAElFTkSuQmCC" title="plot of chunk crossbar" alt="plot of chunk crossbar" style="display: block; margin: auto;" /></p>
<p>Nope. </p>
<h2>geom_density/2d</h2>
<pre><code class="r">p <- ggplot(iris, aes(Sepal.Width, fill = Species, group = Species))
p + geom_density(alpha = 0.5)
py$ggplotly(p + geom_density(alpha = 0.5))
</code></pre>
<pre><code>## Error: conversion not implemented for geom_density (basic geom_density)
</code></pre>
<p><img 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" title="plot of chunk density" alt="plot of chunk density" style="display: block; margin: auto;" /></p>
<p>nope.</p>
<h2>geom_dotplot</h2>
<pre><code class="r">p + geom_dotplot(binwidth = 0.1)
py$ggplotly(p + geom_dotplot(binwidth = 0.1))
</code></pre>
<pre><code>## Error: conversion not implemented for geom_dotplot (basic geom_dotplot)
</code></pre>
<p><img 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" title="plot of chunk dotplot" alt="plot of chunk dotplot" style="display: block; margin: auto;" /></p>
<p>no. </p>
<h2>geom_freqpoly</h2>
<pre><code class="r">p + geom_freqpoly()
</code></pre>
<pre><code>## stat_bin: binwidth defaulted to range/30. Use 'binwidth = x' to adjust this.
</code></pre>
<pre><code class="r">py$ggplotly(p + geom_freqpoly())
</code></pre>
<pre><code>## stat_bin: binwidth defaulted to range/30. Use 'binwidth = x' to adjust this.
## stat_bin: binwidth defaulted to range/30. Use 'binwidth = x' to adjust this.
## stat_bin: binwidth defaulted to range/30. Use 'binwidth = x' to adjust this.
</code></pre>
<pre><code>## Error: conversion not implemented for geom_freqpoly (basic geom_freqpoly)
</code></pre>
<p><img 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" title="plot of chunk freqpoly" alt="plot of chunk freqpoly" style="display: block; margin: auto;" /></p>
<p>no. </p>
<h2>geom_hex</h2>
<pre><code class="r">p <- ggplot(iris, aes(Sepal.Width, Petal.Length, fill = Species, group = Species))
p + geom_hex()
</code></pre>
<pre><code>## Error: argument is of length zero
</code></pre>
<h2>geom_histogram</h2>
<pre><code class="r">p <- ggplot(iris, aes(Sepal.Width, fill = Species, group = Species))
p + geom_histogram()
</code></pre>
<pre><code>## stat_bin: binwidth defaulted to range/30. Use 'binwidth = x' to adjust this.
</code></pre>
<pre><code>## Warning: position_stack requires constant width: output may be incorrect
</code></pre>
<pre><code class="r">py$ggplotly(p + geom_histogram())
</code></pre>
<pre><code>## Warning: position_stack requires constant width: output may be incorrect
</code></pre>
<pre><code>## stat_bin: binwidth defaulted to range/30. Use 'binwidth = x' to adjust this.
</code></pre>
<pre><code>## Warning: position_stack requires constant width: output may be incorrect
</code></pre>
<pre><code>## stat_bin: binwidth defaulted to range/30. Use 'binwidth = x' to adjust this.
</code></pre>
<pre><code>## Warning: position_stack requires constant width: output may be incorrect
</code></pre>
<pre><code>## stat_bin: binwidth defaulted to range/30. Use 'binwidth = x' to adjust this.
</code></pre>
<pre><code>## Warning: position_stack requires constant width: output may be incorrect
</code></pre>
<pre><code>## Error: conversion not implemented for geom_histogram (basic
## geom_histogram)
</code></pre>
<p><img 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" title="plot of chunk hist" alt="plot of chunk hist" style="display: block; margin: auto;" /></p>
<p>no.</p>
<h2>geom_jitter</h2>
<pre><code class="r">p <- ggplot(iris, aes(Petal.Width, Sepal.Length, color = Species))
p + geom_jitter()
py$ggplotly(p + geom_jitter())
</code></pre>
<pre><code>## Error: conversion not implemented for geom_jitter (basic geom_jitter)
</code></pre>
<pre><code class="r"># try position instead
py$ggplotly(p + geom_point(position = position_jitter()))
</code></pre>
<p><img 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" title="plot of chunk jitter" alt="plot of chunk jitter" style="display: block; margin: auto;" /><iframe height="600" id="igraph" scrolling="no" seamless="seamless"
src="https://plot.ly/~xysmas/175" width="600"></iframe></p>
<p>geom_jitter fails, but position jitter passed to geompoint seems to work fine. </p>
<h2>geom_line</h2>
<p>(potentially the most useless plot ever, but just as an example…)</p>
<pre><code class="r">p <- p + geom_line()
p
</code></pre>
<p><img 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" title="plot of chunk line" alt="plot of chunk line" style="display: block; margin: auto;" /><iframe height="600" id="igraph" scrolling="no" seamless="seamless"
src="https://plot.ly/~xysmas/175" width="600"></iframe></p>
<pre><code class="r">py$ggplotly(p)
</code></pre>
<iframe height="600" id="igraph" scrolling="no" seamless="seamless"
src="https://plot.ly/~xysmas/176" width="600"></iframe>
<p>yes, funny that abline and the other line geoms do not work.</p>
<h2>geom_map</h2>
<pre><code class="r">library(maps)
library(plyr)
texas <- map("county", regions = "texas", plot = FALSE, fill = TRUE)
texas <- fortify(texas)
texas <- ddply(texas, "subregion", function(df) {
mutate(df, fakeIQ = rnorm(1, 80, 15))
})
p <- ggplot(texas, aes(x = long, y = lat, group = group, fill = fakeIQ))
p <- p + geom_polygon(colour = "white", size = 0.3)
print(p)
py$ggplotly(p)
library(ggmap)
p <- qmap("Texas", zoom = 6, maptype = "satellite", legend = "topleft")
</code></pre>
<pre><code>## Map from URL : http://maps.googleapis.com/maps/api/staticmap?center=Texas&zoom=6&size=%20640x640&scale=%202&maptype=satellite&sensor=false
## Google Maps API Terms of Service : http://developers.google.com/maps/terms
## Information from URL : http://maps.googleapis.com/maps/api/geocode/json?address=Texas&sensor=false
## Google Maps API Terms of Service : http://developers.google.com/maps/terms
</code></pre>
<pre><code class="r">p <- p + geom_polygon(data = texas, aes(x = long, y = lat, group = group, fill = fakeIQ),
color = "white", alpha = 0.75, size = 0.2)
p <- p + labs(title = "IQ scores by county of people who voted for Rick Perry (FAKE DATA) ")
p
</code></pre>
<p><img 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" title="plot of chunk maps" alt="plot of chunk maps" style="display: block; margin: auto;" /><img src="data:image/png;base64,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" title="plot of chunk maps" alt="plot of chunk maps" style="display: block; margin: auto;" /><iframe height="600" id="igraph" scrolling="no" seamless="seamless"
src="https://plot.ly/~xysmas/177" width="600"></iframe></p>
<pre><code class="r">py$ggplotly(p)
</code></pre>
<pre><code>## Error: object 'lon' not found
</code></pre>
<iframe height="600" id="igraph" scrolling="no" seamless="seamless"
src="https://plot.ly/~xysmas/177" width="600"></iframe>
<p>no maps.</p>
<h2>geom_path</h2>
<pre><code class="r"># Use the arrow parameter to add an arrow to the line See ?grid::arrow for
# more details
library(grid)
c <- ggplot(economics, aes(x = date, y = pop))
# Arrow defaults to 'last'
c + geom_path(arrow = arrow())
py$ggplotly(c + geom_path(arrow = arrow()))
</code></pre>
<p><img 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" title="plot of chunk paths" alt="plot of chunk paths" style="display: block; margin: auto;" /><iframe height="600" id="igraph" scrolling="no" seamless="seamless"
src="https://plot.ly/~xysmas/178" width="600"></iframe></p>
<p>success!</p>
<h2>geom_point</h2>
<p>Clearly this works.</p>
<h2>geom_polygon</h2>
<p>I"m guessing that since the map, which uses polygon, didn't work, this probably won't either. Stolen example from ggplot docs. </p>
<pre><code class="r"># When using geom_polygon, you will typically need two data frames: one
# contains the coordinates of each polygon (positions), and the other the
# values associated with each polygon (values). An id variable links the
# two together
ids <- factor(c("1.1", "2.1", "1.2", "2.2", "1.3", "2.3"))
values <- data.frame(id = ids, value = c(3, 3.1, 3.1, 3.2, 3.15, 3.5))
positions <- data.frame(id = rep(ids, each = 4), x = c(2, 1, 1.1, 2.2, 1, 0,
0.3, 1.1, 2.2, 1.1, 1.2, 2.5, 1.1, 0.3, 0.5, 1.2, 2.5, 1.2, 1.3, 2.7, 1.2,
0.5, 0.6, 1.3), y = c(-0.5, 0, 1, 0.5, 0, 0.5, 1.5, 1, 0.5, 1, 2.1, 1.7,
1, 1.5, 2.2, 2.1, 1.7, 2.1, 3.2, 2.8, 2.1, 2.2, 3.3, 3.2))
# Currently we need to manually merge the two together
datapoly <- merge(values, positions, by = c("id"))
(p <- ggplot(datapoly, aes(x = x, y = y)) + geom_polygon(aes(fill = value, group = id)))
py$ggplotly(p)
rm(p)
</code></pre>
<p><img 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" title="plot of chunk poly" alt="plot of chunk poly" style="display: block; margin: auto;" /><iframe height="600" id="igraph" scrolling="no" seamless="seamless"
src="https://plot.ly/~xysmas/179" width="600"></iframe></p>
<p>Wrong, it works.</p>
<p>##geom_quantile /stat_quantile</p>
<pre><code class="r">msamp <- movies[sample(nrow(movies), 1000), ]
q10 <- seq(0.05, 0.95, by = 0.05)
m <- ggplot(msamp, aes(year, rating)) + geom_point()
m <- m + stat_quantile(aes(colour = ..quantile..), quantiles = q10) + scale_colour_gradient2(midpoint = 0.5)
m
</code></pre>
<pre><code>## Smoothing formula not specified. Using: y ~ x
</code></pre>
<pre><code class="r">py$ggplotly(m)
</code></pre>
<pre><code>## Smoothing formula not specified. Using: y ~ x
## Smoothing formula not specified. Using: y ~ x
## Smoothing formula not specified. Using: y ~ x
## Smoothing formula not specified. Using: y ~ x
## Smoothing formula not specified. Using: y ~ x
</code></pre>
<pre><code>## Error: conversion not implemented for geom_quantile (basic geom_quantile)
</code></pre>
<p><img 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3vnyrA7I38A9auuusoCG22RyGDpv7691nd6EYyXlYzYQ4OmyorefPPNVtGK3I3vCJ2NMmPVh3r+9re/jb7Hxx9/3IIQo1Y8orxYZcU7v7X9dCbqly6dAOZ0UlwApozQmNa//e1v2xS75NqBk+CZWUIod/HPCYY/0HY8J/U77LDDzIwZM+z51JX4tmTaAOshLgZ+otxjjz1e4t0qk5XZS22hn5a5OcWmh8k3mdrWUGaWrfq75UgRcfzkQNK/L9F17o3YhFhJ3ij8ohy59+FPU8P67bffbt8XQOU3UtBeiGWUA1A5Dso5U7py3dJx3cTPoVuE88UlgoGis2mnByA+Cv+La2uDppoTesSIEfaWjDqMZizj1Yekay4FhAOXeOdSaEvPRmd+8sknTaliwMiPNHv2bBstjigXj/jQW6pfvOvi7ad+KHNdWAUjNgm9jjnmGKvnwAJGlgM/4SgI0WnIyYNYcN5551muCM4I3QWcAjogUvaiH2upjSirsXG7lMnbzOaN28ymzd5y1apNZteBnzMZPfIjQFNol+tW5JuRQ48xdfXl4sIqTH3D1siywmyrIhlaucEo8Mc//nGH+zqg4J5tJYAU0KCt8EsCsCFcFNDLwNE4Dob93/nOd2xmA8Q03rH/3g6QGQAgviUIbs+ffdTu1B/Ea3IcIe6ec845BlGQ99QVaKcHoK7QiInWgex7dC5Y55tuuqnFyPWWykSpi34k2DHRpeDMuO+++7Z0uc2KuHTpUqsrCY7yLV4YOUgCOBS1eBTjw+Qnv16M/XBEK1eutHofntsR6xMnTrSKXsAUvQYjPYSzIorU8vJas3TJZuk+BCr62eXG6ijIOLABfDIzxcMUZJp+/QtMiX7FfXLFbR1jpkx5zpRXzDeN2yvViatlJVqr9SaRx9XHLUeOHGn+8pe/xOzI7pxklnB96NvQ18CBuIkY4GZQxKOb8adSIVgXDgiLIuCBKBaPEDsZ3OCqYvmNMVAQkwcAAWxYbd3945XZUftDT+idcFYM0kgAYLEIsfCKK66Idcia9HEXgONArzBUJlpiq1w63JgXBXbCpRDqgDgB9/fNb37TYAGEs8KUzwwo8cpDVHviiWck9hSqs51pvnDGuRLhtplXpk430/83KyoWFeT30129rJfFxbkWTPoIUPr0det50X3FffIELFXmvPPPsgprOCvSdzDCOysi+g7yCQXBMvBodhMrEqKbm8HFf046PKHhgKkXSmjqRLgNhIjlRCl3T94R5zpOx+2PtWQwggMPZgv1nwvA895iWdX853XkesgBdWRrp+lefJjxCFa/JUIR7q4nwyDWEQApUeJ6PmKIFLB0nOee/a/0O4vM4F2HmQ9nlYtTWROHYznYjB5+oLieTFO/rdD894VF4jRyzcABg0xN7X9NRf1CiUQViow/y1x+xVcknvS03BNc1NvvLbJK5Asu3jES/r77Ho1ay6gPnCDJ7hz9+9//3gF8ACi4QHJk+wl9HhwQ3Gp7kAMI9DfOQ5z7BMGHfW1xA0iEk0VU60rgwzOGAEQrdFFCpsfBjA6PadXNaIGY4CesPXzM6Exaku3pbEEWPZbOgLLfeutdM+nJF82ggaUStY6QjqXWbJL4U79tnNl9lyHSp0inIgXuw3+pM3+7/3V1oJ7iUKoEKHkepyLOZddde5l9Rvf39gloEIt6F+VIXNrR+HrYUXnWnwVRBGuVG/URQ15//XX7uOiYEFn4QehNABt0YX7imfCBQRGOjolMkX5Cx4MyFrACbBBvONdRvDZxx9OxJLVISNJzSrnVKRkR09n4LcnHLd2HUSNVJbS//HRPTPjVr37VKme5B9YyFJiM2gASohRzqjGiOUc/ZH10QHSwWHTWWeeY92bOs8CRnd1bFqfjTNkxn7FikNOxrF1TbsoFNrW126WT2WaVtAMHFUkkGWa5lcysOvPsc/8WZ/KxkbHYbNi4wipxR40aac3fse7b2j6AhGfAPQFfF8Q5R1jF/Hol9CgErwIepGh1Sm13Ps9ONgHERPdp49OD+IUpe+zYsVYJ60AJcz2WPAAJSxUAjpI2FgilQwRz9QyXXguEHFAX/RKwjLiZGqgiwIPFCf0GhMmbDnPppZeb1au2RC09//rHO+ajOVnqyNVNYhAKXHEv1ZWnm2Gln4lafQb0H2v39+mbZ0qHFgvgnjbT3308enz7di+uqs+AQ8y3v/dPe1/+XHL5eAsU/rQWxJIBHrE6bvTCGCvkAiJbIgMBehfcE5yVh9ODogU6EZTg6E/8wOSKBmCoiwMf9mPRQgGL97Wf2IfOyhHXwnEG7+mOp7K8+09vKCe1lw422XKOO36EOeWzo5K9vEteFwJQF3wtmJV/+5s/m/w8PIrzTLZEnb79BpuXXthghgw6y3Iw77/Ty5z7pcdMxdYyM2LokVZ3glm5prrErF1TYcWdIUN6R5W1gMzVX79EoPWWfWJEnYm332Q7M8phLFHxnNOcyONvKoAGx0tnTmab6YDYh2McOo5ECJ2Sc8SDG8E3BSU2viuIYpjq8ZiGCGGAI0LkigU+nIMlKVaoA8GoeEPDafG83MvpsrgOwgyODg3LE9xOOmne3DVm5ozlKRU5fHjXnfQy2QcLASjJlmOUxRqFxy8mU/+oHatIRuSKrdKjWHNyc+7k/fc+EmhslcWjWJ0x02yRZaihsdgMGXieFYGyshtMWdmh5oUXnzTlW5eJQ9kqH6Ea88e7H9T9+5mnn3nCTJ36prWC7DtukHL7nGI72JNPPmLNu+eO92bOmDTp3zbcg45HR4OjwiOX3MyxCNM4OhRyBXEOHRNTL74k6GiYY4uOjQjsdBrEYRHu4LxzY5Xr3xcMgHXT5nAOjnPoaDD5E3N34YUXWp8YwhDiEe0MuMDN+P1qcNJDCYsXMFkAMjJ66p0VCczzxD1Gfpn5atcMG4bh54zi3Svcn3oLhDqgJMzwdDLijPBlycjIsebkCy+80mxvzJGSd6PApDwq/iAKbdxQJVCpkVhgTGHvbMXxFEhRK1OyFLWrVi0yk6c8E+VgfvHLHwqEys23rr0q+nbpTOh2MIHjI4PJFcsQXrUQHRTfDsdJwImgVHXbF1xwgeUk2I8ZGPBE3+LXtURv5lshtw4dF1CAE3GpLtCxIL44MzdcDH47jjAxu8kS3b54S0SwW265ZQddjjsfz2myFEKAPPmE4E6+973bzOTJ09TmWWqPRg9EBCCjR+9vPl74iQ9UmMiySDq0YXreHnoX5QKiXAENgam1anemBq/ST0ut19RsNus3vRj1xnb1YJmKDui6bz5h3kuRAzr3vAPNZRMO91dpp18POaAYr3DbtnqrG2nmACcgcdtLl6wxgwdcZUUhPuR5H9SYu+58R1aqIgswvYuyzZDdept9xw6QmXeluf2On5mtFev0wVdZC9Cvf/1rxUadYu989dUPmQ2b34jWYuHHM2xk+j7/t48ViwhHIFIdwrPYdcboBVqBO3Fgw35/RkC20Rs9+OCDlnvA7M75fvBBeQ3ngA8MZmjInyGReCwHPhxDNwUAQcRuBbkdysfJkF88oo1vveWHUmi/ZLmQwbseZOrkH5iT08tkZuD7kiugHmQqy3PNfvvsHQGYPHPHxPdVlw/E7R1ixo4+TOc2SIxcLc9m+czkZZqqihoBlbyLBSZV1Xg2V5vdeg8y738w3axdh8IcwAFsqvTMjTGrB+CnmzJk+cvMSm1KH2cZTHfdOrO8Tw0A1dY2RLgSAYlc9nGA21pOBHulBRtnBUJZW1PTYHoV9rQcinV+E6cCxzJoUC+z96j+5vAjS8wNN35dnXWdPuQKddZzzR13XGy9S7ds2RINt+DFXn/9nWbzliXRd4wzGDoNl4ICUCF40hE6DjgLHASJ2v6///s/y13gZOY4HneuW8JxwB34QcgdYwm4QIhK6E+4B3oSB0JYleCO8KDmHO7FeQcddJAVudCdAIQOhKgzAFJZWWXuu/dRk5e7mynsJTEmKs7km2lTt5jbbpmkEJH5FlCGDBlqQaVCAFFVWWdFnYaG/cx+o4ZbsAAUSkqKVIe9TbZSIwEoNdu2mmeefdJUVG7Svat0Tb25974/K1xjdwV13i6gfc4qrm+TLgvfJoDjF7/4hbn3Xm+qavvQ+rNhU9Ozun0tLRE90025udny1M5Jqdjsnt2vu3a/J/K94mWflJvbJ75qgaeqqs7k5WdZnxT8UXCAw22/X788s9ewPs3AhuPZ2S2PVg8/cmczHZDvts1WcaMPkn8fpnYcztBXIG7Q6SEABWc6TNQQilNiiNC7oLeBawEUAAN0UOxHN+PCMzhGRyL1hT/zIfdGAf3QQ383jz82SebpjeroheIcepuZ725QR841sz+cb15+cZ3pV3ySKd+UZ+67e74543N/EAdYoVDNnmbmWz3MhOnPiVtR8K2REnyv/ZpxFoBJY2ONeeXVp1Uf4q2qzfJVRlzYvTJx/8y88faz9nxFcdln8//Zfc9LzHev+a5VEGNlc8+DZYq4snHjRlhw/PvfH7aXEUmPfxNcHm123XXX2UBL2siRA1q3HW+JqwMzrzLbbLqph3RmcEGpUI8ML0NCKmV0tWs7HIAIMmR09xM+G37zLXK++4BwsHMiiP+aRNZLBuSba28cb8EGUMnJaf64qfgBEb+DT0prRAoEFKg408GJkKtm4sSJzS7DgZCfn+A28E9xBHfz9a9/3aa2YF+mdE8oT//35hyz6ONymeXPMSOGn2g2rC+3+3sX9jOlu33R9CmsMgU588SVNchZsZ958vFG8/e/PqW6EMS5n7igSvPR7Grz8fypUkyP0yidLaABQOokwmyxQNG3X6W58JLPyudIo3h+tgVylgUF+dY9AHDEKxrA+N///tes3q7+AOaug/MUx7VcZTbFhLnjbok/DiCJjsqBD8doD5ecjPQefkLpzDeC3gkPZvft+M9JZB1XB37ch4EhnZQp8OCXCqV4eSq3brdrm/fIdrtNU8HEHzn9AcmU0CH4wYcziewmaI8RjQ83WcrNzbIiU7LXp+M6ABQlrZ8AourqenEb6uQSR+wyut60/+ADJggMKq1ok5fXW6AhjudgLFp5ERGmRh2zyiz5eLt5ZtICs71+V9O7sI8FjYqKLRIjG83wEbuZo48daoFjjz12tedvk2hz7le+JHFrsb9a5nd/nG7N5xUVI8wb0/9kluj98A4uvXyCGT1mR06Oi/HOZgZUR3BhpHoIEgnw4fSYcwudkgs8DZ7HNlyNv0z2cZ3zz4kVTuD0YH7fKa4LUiKDDiCabgDKAIBS5YBS6AvBdugq2x0OQCjS+DG6oRDFCc1P6B+wLjGq0VH9zm6chzjBB+yIMAT0F8kQ9eAe/NpCFkAEGBWVtaayolZeuTV2OXf2xwpZqJa5vcbbp+MVOl4VWdpzKz0dCL4+eXniIhTCQBgDitTlyxebWnEkmZmNSlw2XttzFCMlEcYqTasV/FlqZsyaYRWo7JN2x1YbscOY98y8hffr3IjzoPxyfvGrN60OB64C4Ee3BCf18MMP7wA+cHSY3AF8fHgAEaxgpUoFgYc3Ca3wvCZdBs8PVwfYYHL3DxJ4JzsAQs+EV/G9995ruV7ioEjIhemd2U5517EIMzsWP0dlZWXNFN04YfpjvTgPkRN9GelI8GkKEvfmfvwwx7t2Cp7HNtM2x/JjSkUJzLWpAhAg1t2owwHINSBJqvjo4RD8hBWGwDx+uNmjsCXi2hF+N0zv4ojz/Gke3P6WlhZAxIHUbGtUyodqXS8gESfCEo7EblvgiKwHjsGxgFlwWACIFU0KpLQuyreWmDxZY/K1vcuuBTrWJ3qc8wq0HzEHEaa8fIv505/+ZDvz088/1azKs+c9bB3y8C6GGLnvvuefNsQAD2hHgABKZVKcOgKUaTsIMOA4Cm3CFAAAf9wT5xDVjvjiglTZBwAQxEncGflkqCfkD95kH+8CE70jwh4Ic8Bax3shn43L0YxfDyI4YRQovBExt2/vobCO1crbk6mBKctcfMmlZuSIUeaVqe+aHtpm35AhY8277yyV8+FaKeyfl15svdltyGH2WEaGdx3nPTVpnhkyeDczep8vqjzv2oxMLe1603mc678uejwTZXWVIUg31jcFgPvB1j1zIsuc3EyJrtmJnBr3nNb0knEv7MIHOg2AYJXR/QQJL1g39zcjMp0Ny5JL8UDn4uenJUuW+Dej6+vWVpm/Pzw7IOrUm2ofgORLMe0AAVDw1rVP6wN3ydOyt12P7o+AB8eDI1JLsWBwfIgJ5EsuLSy1ViQCTB23EK10ZIWRGvBBMcroSZsgmrp2cOcjjgTFDrgBr5PR+TJl3s6QV/EFtmPPn79Ax7JN3z572nOGDx8px7tvSI9UaeZ/VCHRqNECwu9+9wfdIsO8+cZacVEjzai9z4iU6evI6tivT5MIuAgzfaOuJX4MUC8xVVsP0PmZZv/9TvCuiwAMnb1vUZbp30flDI18fgdgqWtU595uNm/INtPf3G6OPPwGcSv19ldXU2wee3S2vK7nqN22a1+RAOhQLUkCR1pT7zyWVVW1UpRnyJGz1lrSgsebzvVdp5ATdx6+QcV9x8cEIBc/5tq+LcsscV3ZoRl+hybrFAAiyhuK9UIJB8AsTeeETUZkwD8lGcovyDLjDhjoAYgAAysYHAhLACQvzxNJEhXBOI9ORmcDxOojHa6hXvvU8aqrN8rhsNxUVsmT2dchq6trza9//VuN4GvUGbPluHimosTHmPLNA2J27MzIyN9DnZXOP3jwEPPs0++r862RIvMoc8Jxx6qzygKlEXvlsgyzemW2Oe2zf7T73OhuDvRajI7d1OnqzYD+vo6nDltS0s/MeHerypLol+XpKVatWm369R0Rva5O3tkDSnaRmKhYpu0N4hIUpFpfKwtiX3FAw9WmeboWEUPXa/nqK1PMh3Mej17f6OvgTXVpqsehhx4s5e8Sm3oDTg8R69kXHom+cpw+v/7NH0o0auLyoge1AlfCuwGcGaxSIcAbt4S0k6SnVK1YesxuR50CQEQmB7kYTKxYH/DlYFRHbwDrfsIJjKDJmS/rBQybNtWadesBBG90Zh+jNECCCqKursHbBkQEGn5Q4bw67dtWjRezxlWN6I74GOhsWep0WbbzZZiesrIhplPd9eqs69atseb8gQNLtH+wUlsM1D0bpGR9TyNshikdurdZsXyZ7agMjpirMxQKsFmdyI3Iq9e8p/ox0rtRvsHsvscQc/FFF8qD+Lu6pukY+56c9IT0awr12LxR4F2j6np6ItdJXf3dklxAr70x33pHE+BJ+oslSwokVl0T9StCx3TFFd+yuhUXI+UyIgbBm+2ePceaO/+4WF7KtAUcU6ZM/8MEUFkCmk+0nR/Zr/ZSY5X0H26WfVJhdt9toLazzJrV283wYUcJWNAXZio6v1Cgttgce8wFep+bfdd63FhWFqIN74fyvPs1X/fOa3bMcWTNzs/QM1e1mNTLtVtblzxnaIbfsdW6bCgGvhu8NBSGrVE8Eay8vMa88fpKOzIDElmyQrhRntE6N1ceb/JFQZTKioz+HHfnsbz33nvMXx96MAoA3/nOzebCC79mrwnWy4lg6E9ImeoIfUfQNAwg0Nk3b94iHdBi+bZM8jqPOsbIkXubgw851Dz6r8cindB1LG95yCHjJZJda3/l5VvtdT174maQK/Cp1bZ3HhyShl2vXPbZdVeW1ymLi/tIJ0NIibd/7Nj9pSQeoE6/VSC6QW2ULytlX9MowK6trbMAgGhWUKAE7qorII1C3QN0FPruqb1lozgmD5R7COA9kYk215mCjO3iRKnzNg0SSpVqQbZBz9FTyu49Fb0+Q/vglBrsOzzxxBPEHT+jemyL7kdsq5MLtbuW+7lrovuiYprjutw5TvRq2gbsd99jgI17a/4kqYVi3PWnNxXSsj5YZJu2jzt+mDk1EA2PhICjKOE1xx13nJk4cWKzMuHmOOYIgw16OXSGBOZCBPAS4tMZ1GUBqC2NEQ+A8H5eu6Y62jn8HYUOxYhYo07FfrYbWPrXte+VV141H1m9iTeyjhm9r0z7+9jzm5Wn6zLV4W0n3bjZLP1kmdfx1UlzctElFchSVtUEBtGRtznA0nkQm/LycqyS2t+J6LhZ2VnKPLiLyuwpfUel4sCW6PnqTWnp7rIcMtVLE6fEtQ2UZztgUyfzOqjX+fr17yuOY5XttJx75plnmCOPPEL1RBzrYRYt/livYrtExZHy6r7Ou5/OK+yVrw//6zIk7C0RUVH7AoIjjjjc1ApMonUWGECEdcDhOm4JjurCCy+0+r299trLpsvAwuYIR0nSogaj8HGqxOcI6ykEiDNItWTSd2Wy5P3wg2PiZ9cze2pQ0jbHLCeFPmpzzOl7UokFu/ee6dKzbfBXp83rx5TtZU4+ZWSz6376059a6ybKf9QWuDsQF+iIgRx9Im0P0DDo4dCKWIu7A8Qgj+jZGdQ5d+2gJyXU4oXnl3qdSR0qQx3KdawMfbxZ8nZmBGWf+9Hp7LqWOI7tt98Ys2DhPFnHtsjiVWAOOHCkvKYLmsqJXMt16ES2basScPRW6oufSnSrsh375JNPMhdd/HXz6GP/lFXvz3afA4EJE64wl192qfnaBedLSf1OtGX4iFBcu4/EhU7Q4Yglw4ztkec5zfpvf/uWnUsqcqDVBZ3/uBNOV3l/sefyEZ540i0y2fe12yTQBzggwkDeefclu84fMUfm+huuVDtk2Bw6paWl4qQ2Ro+z4jr7zJkfSo/XL9rhZ81aJO/tq6Uv26KwC8V9CaT3GXV0FAgGDdpFAaXV5ojDz1bH6BkFi+n/Wyfl+cHmC6ePsudSfm6OckKLl7LnRUDEgkkEaFwdWDoCpOF00GPBldl1bTdovaJikykZmFreHncf/3LAQE0BlC3ZXIRbxurVW/2H467vUdpH7eZdh8U1SMyKivsB3wdczZQpU5oBEPshLJYAOp7zGD7g1slkgNrDD1jB8tt7u1sDUL/+ueaSy0bHbcNEnNI0qYk5/sRSayrHXO1y+sYqdNCggVYJ+vTTb0iPMjN6yltvZ5qSATcKzIapw9YohsxTlDKCP/LIXxVGcL+4i+sVjvGeOoTnx0P2PkYmEr3z4bjZPBnN+HAAID62733ve+K6as3NN39HntK4K+APc++OHVKj+09/8jPzybLlmszuBZnTN+ujzZGVa5E5+KDPR8Cip0zZ74ll/6dAUiVl9jOf/9y1tiw68KWXlEnRXhPlFhzX8NHcArNY3tg3XPfP6LnoexwBtnV1NZFOjwtDg6kdpm11eHRYAIFbBwzyZRz4n5LUFxWVRAHCmAaJw3+y5dRFzhf2ye/nQLXDZJXTVIYFFVu29tnyIyATARtXr3hLJlBMN+G6QVYECF2jA5XW7oNXOoOlva50R78pxChnzMGhN1ZOJzhE5mdzFld0q+hZSQCHwydWVNKUdAY1fSWdcfed5J5Y4YIR0rC06D2c7oPlxo1V0ulUyxt5F/mujLIdlZF5zOhxAjDyOz8hZexh0f2IZSjFEQdem7bCnHH6dRJh6qOjuxMTevUqlNL58Oh1PXvmmH88slD3KzQXnP8nCx5bt2SZhx5cYIoKTzTXXnOs16kjnY8Ojm5k06Zis2nDZjO09Aiz+xCv89NBXefnvHnzFlpAY39lpMMCEpiQv/LVGxQYe4c4l01ex45c26uwQCEgBOZ6HT5L51ZWMt+W1/ERXXAcfP75KTYkJagPC34GRxxxRDQPtDuGQhpAthZCLdF3HXjgQWbuvLcEVJlmydJ1Op6l45niUHurHdEh6nzty+C6yLHotjvmlpGyqfOgQf3cbdO2rK2tF3eFUcCjCKa4zbhLuCVH6NuChOUPvyp8lPBdiuVAiVWZGXldxAHGBn4Qjpv4iYUAFGzZNGxv29Zgli7ZanU7WMGczsYDDV5mhmcFw2QuHU4UUCLAYnVC0XUpW926ln5lqxPrsrKl99FgRSqJiy+8Q/mS1ws0Mswe0s8s+GiLrDz7Wx0JHZpOrxpZhSoffXX1VgWjHi0l69OWQ3LnAAR9+/Uxq1YqlUTkOvQ937/tVgWb4qrgdXLECnQ0kye/bGa9/4Gv03kd8MQTTrSBlq+9/hfFj/3P65DqdCif6dg47Pk7OB2Zzkr4RIlM8CeeeJIp6l1krr/uJnlE/1NtJeVy5JyiomLpo6rt+ewDIPVwdpsy0IHVbBtiyo6+VAB5kPnMSXAA1MsDjGyFv7uyctSRsgXaZ55RG72eY3CLfvLEKCyYni7LczdoEJijGFdnr8SnScdUzwZ0YW49cj7b6Lzs0rePeMGrrkp/NHxOT9w+dhSh/M/U2nosR0RyWMPZkEkSTiY4UFImAOQ3ihC4DBdEbOHChQujMXat3b89jndrJXTF1jpNC6yRUaigAdQunR4I0MiWQtdzgAM0dI6+cXw19N9+8P51qRnsPqRx68/BNv+0RFyBI4JToSOiiAag2OeOYZKeq9kwZ80SOKhDlZYOlY5om0Q2EmRl6ePMVyT8weo4lfoopPjV9XRQuKBBAwcJlAjJoINl2ftsk7XLgUSwg3r3dZ2rqZPS2fDZwQPZdcDGYEeMdFjbcXWsf/9+5tDxh3pto2elnRATn376KbN+3VrVMUNWuxFSKL/rdfJIp0bscvc4U4G2Rx11pLn/L/dLtFLmRu6p+1gleeR+J510ohSkP7Ke1lu2bFYs4BXySF7knReoI+8sFqGkJnZt8eLFNmG9E2djndvSvokTJ2pqoAt2OCUVJfR//j1bVqfUfJQOPGiIOezw3ZvVa/ny5Ta2kkRzDBZk6cRFAl8qlwWhrKzMZgtAnIfglDAM0Fa02QMPPLBDyFOzm7TjRrcGoHIpod94bb0Fg2AbAhxR0AFM/MDjPxbd751jr9MfAM1aYSLXsr+gIN/Uy+rAiGuPRc7x34vwi3p1qBJ17Fu/f6vliBiJ6fATf3CblKo55g93/kEWk4U2v/KVV02wym06Hc56JSX9zd/+9pBNv+E6uQMLb6T3rGjB53Xb6Av84RSw30FPancuS5TMhMswgZ4/HxHWFVJgkPAdwCOEBlAJEmEaKEC5J3mL4hHtBTBSDmWj11qwYIGe9W82Bi3edf79d9xxh41NQxwhxhAgSYbwUfPHorkyUgKgJ2bL5ys1ADrgwB0ByNUNAGpJP+nO8y8R3WLNR+Y/p73XuzUA1dY2SilH8isPLLylt07Dwk00aDQXs5EWoqPyIdCBWiNcBwgKrVNHgxB/RskiQUdduWJF9PLTpGx2Abl0TqweC+YvkD6nucUpeoFW+inYkw69QV7lgENLlKdRs7qFiQ7dtbTVlUotQqQ4iI5inDg996wcZ99MzTxRqQ/b0XHHH2+VqB8pXccyjczxqEAxfXfIRLxV1wJk8+S7QlApYJCrQNJPlCaDnDpz58xVG3vKXH9Z+VKqkusaMIY41z57K8/vL4N1fJLenzVNnPPbwUMppWR96sm5StebGgCNO0BxkON326FeO/OObq2E5luUKiBC6ogAkd3yOmWPHohKvg4qkzzknWNXvT+RHTvs11Gc+GD1i6zik9zCnk7Cd3XTaqQAQGrmjHkSXfaXj478h6S3gHOqr2uUubpEwaH9BYpeXdSnZLb1OtW0V99WPp1q079kiP01FeytIZKVDCiRF/Ew89rrr0vp2DxmLnh+W7enTHnTugZw3bTX3jFDh46KgjePtvvuIwR+Q2RCXygPcolvimrPy+1j5i+YLyVpsVKDFMe8JfXGh2iz8maTaXGdgPPdGV5E+6LFq+T3NNgMG76vsgxUyP+ov1KrrrNAQwu598foT7umSlX6YKa/9d9Ui9nherzmY+lwdjixhR24enQ3SgqA8CVw0dauQWDVSWAOyw27znZnU05Ohhk8xFOIRmFGK24d3UuD9Cp2O7KzLetLNCrTDpRTV18sZ71RGr2zpNvA8avp6YPrPeWbccIJx9vrUJqiw4nVXp5Ig4OjnBX17SEuObGLY1aJqvqja8GsO3ToUHtTglj3UapTzuH8es7VOZ6o5nQzUrxbsCQsxdPJeOU5/UwL10XOpz6vKp8TIiX6tLnzptsyG/T8hxxysDnzi1+W6f+nMuvPUV2b7uPqwXXUD/eGK6/6sridEmtGnvrKVIl3v7b1Qu/lPXPTkoekvWjn9iDcM9JNPeUDRAbJVChR030q9+joa5MSwcgNg/KKLHSY/Z577jnruUq6BabP5cO85ZZbOuxZEGdik3Q1Pfwfkw8VdAGdv0lR6bds+c/zr3OXpu2ysjJxQJib6+0P8QiRYdu2lkdiLBCkX0Wk8hNAZi1RAhzW6WT4a2ByJrPib3/7O9/xpnM4l2jrCROuNI89/pjqQmdV51RVoyZoyhTQ2fIlLlG2uw4AzNQ+e6zZOZHzqVfkfM6hTO6H0ny2xCRCPCCv7pRNeUR/Z1tFJ9ZH/3XeszWVXVTUWxxSXgRUUNwrJk9t6trA30asO2C1IGzB0IEbgEY8n0DUB1xRgHVArHPYBzA7/Zm7rrwcL+hJ9nsO3jcVHdCrry4269ZG2fFg0Qltj9y7RL47gxI6d2c5KSkA4kWQMMyfGgIF5U033WRzx2BBcB687d0QsOAEt8YmWNaelhvxWHW2/UDjRVHveC3n6cwmrPGd4h1jR7WsWHQs9B87cjAxL6ZUWxbgs16+M+hQyMPDkk4BoctgGxM7YOKZ2j0LGNex7c6vq4NjAQC9kBICUOm8rnOizA2e65XtgSbXuXt6QFpnhkmEI/3H888/Z6fBWSGdFOW5cjxwwNztiYa2gBb+wOGQstVPtBfvBIBFCU6SMlKxogOjXAYychdxjgM2C2IRgMwCoMX1AVKUUSfLowNRC4B6LxzzrvW4TPuufNfZ4z5gzZZVCCX/xInfjvE+jR1sd3zP/qeKv/76a0tk+o6fijb+lU1HRowoURaFAU07usFaUiIYVgY+SgdAfCRYLDDrIYe7/R3RPihb6bCxiA9ugGZa4Bx++hNdd/vs/sjFPAc/yK3H2nb7CHadPfsD+8zDhw+3IpDX4RmJvUJjlUMA6oMP3hcBikbbXtQDUzvP4q7xtFEOyHrICnWaVUIDWLjY04FychTLpPmw2MZkD1fnLTHhux/7m9Z5f5TtP5fr2c8SfQplDx06RrmCbrb7gh3PAysP+BxIOgBr2gZA6+13gYl4tWLO2AbIeE6AEwCdNu0dG6e0UTOSLJbOBxDKzi6Ud/dtOt8D4Kb7eYBLAKo7xmysXLNo0SLt2xGcuR/A7ACUZVN5/nXveQYNKrIxVd4bbPrr3nvTnsTXeL9YXVMhPuHuRkkBEJPilUn8IIYE70rCBtA/EPWNYxThAV2BGuSTU7F6tQUd+/FEACa6rkpGPyq93e36WUDiTWtktIDF0q2zP/LjW0AsGassg3Zf5IG98hi1va8FD17KdD9Oq66ulA7oWNsx0TfgaQ1AcA7bALn7sQ0o2Hrp2lNOOc4qggE6/4+4Mf+26+RuH8drarYK5Lz8SuxfuXJls2vwEyHpmf8at055gAWiChyKt/RSnLLOc/PDW5eOBoBRb2/p+Tlx3HM6RCHrjnngeOqpJyvu7GGJ9vPUFg4ws3Ue12p66uj5WUrqNtiCCT5XHMOblzZ8990ZFtSarm8C3ZbAmbIdwMKVnnfe6TEBKPKKk1rgkJotRXQqlGpS+1Tu3V7XJgVAl156qY2oZfYKPmwCFjEV4+DEpHilpaXtVd82lcsouUTTs2xXhyGeJkPeqFnSNWSpg2foo8sS9yA+3gJJD3FLdHI7Smlp/4E33JFt9ByMYAIdCwZ2Hyd44ELnwoRsO6IugW9xvEtwWS8OZsrzz9vzq8QxkiWR8IRKrcNBwuHYn7gEt46+AlBC3KCzOIBiGQQt/G0Qedw5weNwIwwe6KLcMfbBMR5zzDH2Orc/Xhmx7utAkjZwwBUExuA250GFhTkScYpkyBi3A8ByzbZtldEyhw7dRdzUcpuzGmD873+ftD5K5JBK9L5cFyQPiDLVxvnBQylv5yoBXkGtXx/Z9iKz5aXd3SgpHVBXa4R4SugaJfZaIStNAzlyAB95G2dJzMgSV5EJAOnnwEHIYYFquz5MAAugAaSiP12foZE5A6sVYCXgwnmRTmdBSorWnuJirF8R8pfKs8c4rtFPvTtyTYapkpIab117bx1HAYviFC6IToAo1EcWRa7Pi4hFdOrqCCABUoAV4GQBS+uINNSL6zdIHPlk2bJmx89W7ui7NTsH2SjtdTr/Ms00gf6FMo448khD9HtrxISKpHUgfQbtTkAjiegZeMgDDYglClqAHAnomaMeQucDuetjgRzXEMmNE507j32OS6INWwLPWCDpB63V4pjJr4NHcZBSUUJ/+OEaeb23bJwI3i+4PWQIU0z3Ce7eqbeTgtTXXnvNJjDiZcF+O0JxyHxOXYUsSGhkzx840AMecQuW01FnrlcHrFXHqxXXVqdlg350cgAqU2x9liKy0ZFkCibwQt6O+CH9BaixXctGARU/1uGCAKqeupfYKbNd4GSBC7EKEFODZOg6EnD1UHstUVZAuMdiOS4WFfY2JeqEBbon270kShTo3G1r1prNWzXHvEI1tsjSViFxA26pWo5y26RwrRF3h68NnBH3r1e5ACGgmq+yilTWLnpu1q1OR+d984orLKDB7difnvVrSpwGR8Wzn6+QCceB+bkxOBC24b723HNPs1Fm/kOUU2bfkSMtmK2XKwIf0lGyflJH6kVqVNY361zLxWkdQj8YTJuK7oZ50XDMjBXNbS/0/SFXOKKinwAjHCPJKuAS+fuPu3UAKh6wsR9XErINpJsQyRHDUqFUdUip3Lu9rk0KgC688EJziRLKl5WV2VHbVQ7rSVciOI88ZfOrUUeuUoeu0ehfKysSQNJTnre56gzZWvaUHitHyd+z8mUKhstRh2zAmqROY3/qTCwBKctN6SP2QEpApU7Mr4fEuTxlF6yTEhRQoENzTaPu2SiwgLNqFIjpgOmr64/eb6xZJh3MRs18unjhQrNB8U8bdR9+5QJFAAUOqZc6fR8FgRb1LowCVh+ZrXfp2y+yXWj66DmKAC4BS41Emi0AlzIlbtG9N+m3YuUqM1v7cgRG82Us2Kx99rj2nS+LJTqdn2tCP0AQYAKwAC7Kw7v7BnVqgOffjz9u3pAnNFxZb90PgHPn7icvbq6xv0gZrjy4MggurTLCtbG0gKo2AqAAuB985ztRsOKYBS7Oj1zHNgDyDc2SgsvHhwIhzqPcb117rU2yhTjbEgA55TNlxSLKx8UEq1w6CR8enBFTIaenSqWMrnZtm0UwOhaT0WH6duxsZz8UokBbyHI/6qCN+ngrFdJQIy4DYHIA1aARP1sdv6c6fY44FLtUR+ypTsf+TI2Ujero9TLDR0FKZWWoI29T565TqMB2AUgm4KROGf1J1MqUuJApxSoi2XfU4ejM/QQggAzLvu6n+3Fsq8BoQwSYLEAplswB1Ubdy61zDkACMPTRtXBAjsMCsAbvsqvJkshYrPt4+z1AA7wAjVoBpAMslo77KhXwHKIQi20C5Ovl/+WAywOxcgsOLbU9XNM9d9+tZG69zASJfBawBFBBsGIbwHOAZjk0AC1yLvs5jmjKTCHZAgq4bzqly5fDtwlYYRGzQKd1B2JVvvVYIqwDxnJ9BwPkywU3H6RURLCFCzfIANCUjiNYdiLbAwcWSl+Y3AQNiZTfGee0GYCoJHORw/2whG3tbGorALn6oitA/ufD9RNcDlyTH5Rq1SlrBFq12g/wACo5EVDqqWWOOv7APXY3DeoY2yNt4gcnt97gBy11imqB3XqVDYCsF7isFxiyvkH7tgrI8LRBrwJoRAFKIOIHKtZ7q4PXirPDkteg32qFM8ya/aHZoABPygMwFCJrFn2y1ILWNj03nRfxCqdCB1jcxwFXsQB4sDpjgXRng3cZRNZVUyhAcecACA64Nqvjkkwf4NqidnIAxXLYiOHmbM23fpb0UGxv0blwLnAbcCRtpdLSUpt+lDQUWF6ZNRUuy+riVNjVctpkgIQDA7jgItGrOe6MpQM0y/FxTM/C81CvKeLySP0apFQAaOVKgbWSkqVCffrkKTVL+hXkqdQp1WuTAiAyxj355JM2knbw4MHROpB1rTN0QOkGoOgDxVlpELcAONWqo1mgssDkcVRV0nnUSkEKpxOLg3Kghdh2ivRlG9VR+gtA+kUApr/Ahe3+blvr2QKITbofQLU+AlQWsAAr9gm4tuiedLJrJZ4MlTl91PDh5te/+IXmhu8dBauB0jUVysJTrH1waFEOysdVUe6mCAg67gpQaYyANKIYimMmi7z4oossx+UBlsdReRxWodVtOaDaU4AxYvgws3rFSgt0vSLARZkrpD/aFAFIB1qIkNTBEyU9wOIcB1zB14Leh9w2gNmUKVPMX/7yl2YR/vgJzVMqlEQJT388z4OUCgCtWVMpUTE1ACoqypWOCh+u7kNJAdD7779vOYdgM6ADclnXgsfaczudAGR1N/qQnd6iLfV2s2JUyqGwVopjyzUFgUqAgeI7Q6P/EnW+tepY69Th1qnDsawQuF2lpO3XqhPAnUAna2qijz74wHJAFpyUAKyfOC44IoCKfcXigOBqPIBSjiEB4JyFC+z2BpUNSAFWgA78XrGu76trmzipJq7KioQS2/rqPpwDhwTAWXBSOaV7DTO7DS01b2vSyP9Mesrur5RyfJX0WYAWSmhHKHUfUL4ZEmUdp1kbsP5RnhUVVW90V47jQlREKW+3xX1FdV/aB4cG92UV3HoGdFtWVNSyoLCXOfzIo8xj/37cvDfrAwtcDrAwkVwj/dBVStoe5HRdHYNLsgUGp37mnFQACC9oAm1Tod69c6TE714AlLASGnb3CllR3lO6BUa/YDAqDfv73/++UzigVF6q/9pXZLK/Vh8r/kyYYhlVkyFM9bnqePxiEdwHXNKkiRPNEoFEiTrYaHEW48ftr3wQcjBcvMTcd9nlZp06F6C0URH3eeJq2F68fLkZI2vTqUrTgdnc5fnFKRKw8DgoT1xjfdTuezTjqHAV2BQBEyfy2aWSi82TMtwClUCkKgJ+1B9RJir+CZQOlP/QBcP2UrnFpkxOgEUCgL4RsTBfXFiFFLxwbBuUunWbwKi/XBQekdJ43J57mT369RdISeGuZ1kl7u9jBfQ6+s9//mM9vW+TQtwRXB1KZghR1AEWXFxxBLDO/+pXDbqbbZVV5lC1oT2mtgDI+snAgC5tzksvRwELTsoDqCZlvOO4NoiDZeqadJPnnOmExORK745WsIQ5IGKQFuoDxdN51qxZ1hM12Iyw512JA6pXJ9qsEReLl/vBeTgK6oAIosW1wBHxbIx6iZLjgFByJkLon5h/HUXpl770JWtx4jri7C6QzqREHWiABRWZ6tXhWN9zyBDTW9wN/gDZBb3MJt0L0UzOL2aqsg0uFECxvVEg48Qmf10K1Bk9EQ+lt8c9AVRREVD7ilVujYADXdJmgfHK9evM4mUqV8AEQPVULusbv/ddc+bZZ0fBwd0jR7qYIeTwUZpVx0mNkQhUo2cMKtp7i6OpEccH1wRoHSRld51cHqZpXrWp016zQAXXtUUAvF7GAriwIJH575e//KW57777zO3KJxSLLHDpGyiGU1Q7ehZFlPFN3BdgxrGhQ4ea3Q8YF6uYlDigykpCPtDoJU+ki83Nbfp+KYlvqKV5wXA2xXfLEUHipG9FXTJp0iTrU3W3jATJzj7syk122fxpWiiFCgI+EHof9AB+Wiv22+8T5D/WWevoaRZPnmq5jRqt47eDf09PpU4FkPL0QWZJJ9JTHaGnRvFd1GlyZLYv14i7VSIF1pS2AFBbnxMF/jlSzAYJYDxaYhdJsZbLoRCOzBEzmZLuZIOA8i2i7/UuRvTtY/VRQxXMuU7nFwgE0Btt0DNbLkqAtFY/gKlBFjj2faIOvULcVYZcAQjJ8BPKaSfi/fSHPzLjyo4xM6a/ZRYqSVhfRD8BYcOHs81/Jv5AAFUhYGquRM+WO8OHMmUvWb7MvDOn3CwQp0NysSABDPvIl2hvie6XyLWjUPOdva181Vi1RqFr0vtxIiIiI4SeCFBy+qnd9xxq5ij30YypU82hUkgjmnGc80gBAmEddOfbHS38+fGPfxwXgFq4rNVDPXsSo5eaGT7W9UzRNGrUKOuWwLxghEX5p9mZOXOmnYqH54JQLeB8+rraDF80fKeYW4xskp1BCQMQlXOsMBYwf8Y4gAexDAX0hfqQWiMe3M2MgJ8JaT38xEyOU/VBoVRkriM4i2QoX74cB181wV5qrT36sGusfsbT0TTKIlUlKxHm93IpSD+jGUl7yZ+nt9Jf5OpFrX/s3+aNlyZHuaccgZTlpOzSAzG3z89ZJVNXdw1KVHys4qbBfF8AADKcSURBVOkr4DBx1jtdI78Tgxn5vyoxZI9IITj0/VT74KDcD+5paMleZrSU04V6tgaNnNm9CkyDYrbenDnDrFi33oKUp48SpwN4qSO/t2SxGXvM0WaMwOCSW29x1bTLGySu/kv3gqMaJtN4pkStwQNKzLHyqi4bs6/JF9gVC+zJTgj3tFKjMXqodRLBAAmA68vKTXzK6adZX6qLpPjFozoeIX71E7eGrghwGqzv4rMSRT9eMN+cMP4wD6z0nIAWOZfgmBzwcL9NEWW7t94EZIhjcGIQcYwMsMwikU7KVj6ggLG1zcXr892BSAHT0rxgABADGm4FeLDjuY4jMY6fWCHJDe1myNih8A7Y0SYAgnWbPHmyrRZmTEf4A/HSGJkTIbxYJ0yYYE34QV8iQI6ZL9G/wIHg8k9qiGRpg2bQo0OjOD/ooIMsq14sczkUFMEeen+meVzOdtAIjcr//OtD8LieQlkfc63Ay4EVOhxrCdOSzoxVK186HziqLIkoDpg8wEocrLh/PPCBYyDeCU9dv/masAEAyNEJ4p4Ia1iMk6N+jtCnvHjjDZarQzz1LHnlZqA8i7fovBXySN4kxTiK7UKdu0XiXaGcJ+9T8PFiOTN+QSLqklWrrV5qDwHZ9Uq/Mv6II2xS9BkvvWRvw2DxiERXuCoGqjs1HU+j7vV9Wcyy1AOdlW+ERNsjxhSbfcSJLhXobJd4ctEhh5jPaxAApCxACTAALqdEZ33RiuWmbHiZuVzfxz0KLTn4lM/Y+/Id+dsNvRVAhE+Un5MaIAfOvYd63BXHOAerHI6QgNWyNattHup0A5D3Dpq7e7j3kvhyRwRaLpG7pXnBEO9pG9wVGOjhdriGbQgjAX2ks6hNAPSSPjLYWVg9EpI7ss5gGuUch+T2x1rCLSFSoOfgg3H5jt25+G8g9lgHNH0Y6FPobKA1hB6K1B+OaHzyzcQirE2P3/lHU75kqemvD/IDjQZM8IfZFqJMnsd9uMyNhA6I5OgTJ040e2g64kSoXgAEMGWoE5VLX1IpReY2TPTaR8fGf2ibOAq26fjZqkuO9A+50jlElxrVczXCH7RHqZmtZ0IM5IdHNG2ByIuYG0u/xAe0TKIXoxtEuAP6K4B8uIAC4EFvh76EtuWZLSmZnCN0CV8sLY2+wxy1zfdkiZu56GOzUCZsOKk9JJ4eJX1OX+mI8nX81V/92myUCHbuuAPMWlnGPHFPVj09bz46KXGxb7/zjlUsT5cVLxYxMR4D29+VfP5Xv73PFAm8+0c4HMBqhHReVkcFmAis8HVCib5q2mtmnMBk91M/a/VSAFat+vcnq1aatWp/AIXfMp9OL9b92Qe3ZEU9PWO+nEUbxAXHSikTHCzjlRdrP4YH953FOp7QPvWxYB2oZ0vzgjEPvCPeO1Ne40jMNRAARR6mzqI2ARAPT6eFo8Ckiss7jcqDwa0w+wEfeUuEMptM/PwQIZBBEd8c0fnpcI7gtAAs90EQxewaj3M4DmcQi+jweWvXmTNHjDSFPXtKJFBIwJvTzb+uvFphE8UmX7oT9ED5WEq0/cs//N4sU0fZqs54uZ7xPa0zQrRGhGUQ5kC94a783Enw2npZubZJ90Ld8JreJjHELrW+hZFJneD6kz5jeqij5ei5qlSXcumjyiUulu+2exSYtiigtVJtsUltU662P1ui6iyBunMMxSBwzTXXRG/P+8IrOd4gwbv11xsl9Pd/8hOb3fJNgVeQMKX3F2DuXTrUZNbXCaAkhmlm2MM0GABWffV+q1X33I/mm30UG3dR2bECJg+cvKUcLQFY3QedxNW+byB4L7eNbghLHzooD5Q8JfqIwUNMv31GW84NcTBX73qzOpinNG/ipqzPlOWoxFmpvSsEUBDOlDhu8oMQS+J9U/aEJP7YeMOImJfE5faSbA0kcNp+am1esOvk0nGuDBqkLCHEBM4HaYVZPzB80Pb77aeUMp1ECVvB/PWD44ALQrHIqAuYoHfgYeCG2kI///nPrXnfAQyNhLh01lln2WJ+IWc6TOOOA4pV9pIlS2LtNhsXLzFPfPNbpkZ5h9erA9dqZDtRPh591VEsFyJlaY1Mt9v0UfJ77eXJGtkzBVaKrhbQZgBaAqdcuBN92DgRsvR+kXXtYz+R6G21gsWsdGQnHXO0lIvUpUiKc/RSvfXx9RbQsd5HYIKymX1F+qGzor654qyckh3FOiKgJw7Kq1kWnq0KqdiuZ8vV9UFCtON9+AnXC6bG8SvC/cf5mElO54j3RN1xCxgg8P76pZeZ/z79lAUoTx9VaNf7qV6Nuqiwfz/LMb0pnyI/BwVIbdbonAzBfSF2OaDyc1SeBRCLV6GN2fNEPADJ00lVazC9+KYbbexb8N5wj8kCU6XArU6Amwrl8v3p5yfEKQYaOGMGwOC8YOiACPlB3UAmBKyu6F2xnHEtHL+zhvnL7aj1NnFAVAqOh2hmlHWIYTiWwcHwIM8rxw2KrpYIBSozNQJgfKiw/n4TIDmVOc59GK1ZtgQ+Ld2r79BSc9ETj5nNK1eZTwSWmSpvq+q54v1Zplz7KiTSEMHeWwGMvWWBaVCHfU4vbKM6aR/FTv1N4gEBqNv0cZLaA26lWtzGJgGeB1oeJ4MOiI7eS2ISy2yVEwUqPpoIgOWKS+gpxS9K2daIZx6t0YoPaEOVZwXDgsGslnj1BlNnHKDo9Idkiq6TyRqLn9VRiQtgWSG9DY6R7z/2mKnWM+SpnEbVoZc4QMCK+Lb/zZxhZgv8TxQnsVZcKOKfoMqco4EASx1iEuy6n/jgz5YpHkuMIzcAYYFaBVf88N+aAdTNN99sxkXS987TQENE/aXnnW/KNSIPEmDtK3+nEfplRUQWqwxXx3Fck7PqscTVIJZWBR+mKr3bZfrFI7ipPgKhEQLlAgaarGwLWkMkjtBZ001WBNMzpUKUEaQhElHRGwJATi9LrJyblBAOiX6J5OHvZ0gr/muC5XbUdpsBCFYdVh4QwrsVGR5CF8OMjK0RUcZcjzIVHwUUpny0JDXbRxHVlImyGNGMRjtdVo5UCOtU3913s79gOYgRG5ctN1s0gpdLHDyAEzZuMrnS5fRSnZ667gYLTEUAlIARkOovvRDbxH45qhN3BUgVqLz1sqaV67kQq7aqzHUCC4DLiVxCVHutA6UcOCoLUnBWjHAeh0UYB/ouP9FGfFBOzHLHYKsfEgdqRVe9h1gE2MNq89Fhoi8WJ/WklNdZslzNUOzTBwIfy2GJmzpS+hy4qmzVdeE998o3Z7v53VnnmAV6v4h+gFOFOvklmvyv3+BdzWyBxzuzPrCiIgOKn4LbiNDODMx5U999Vy4BnijPgINO8JONGyzIDpMT5bxZ7xuEDkQ8OKgj9xtrcvQNFgkk4LI2CISCop1zOQC8YvlCcV/2I5K9KRAM0r9ef80OrnTudBG6TzdnWbJlMhjHIwc+8Y77wced09o17rz2XLYZgKgMFiw+ZvK4LBE3wCiIdcxOWpdAbdET8SECPI6lRU51dNRRR1ndA8fdiOqOpXNJEvMidSCABfqBRvu3Z71n1wvFyTwrjmG7LF/lsujAMS2c8pEFqgql9sDXxXJOAiYLUCpj6L5jzACJTQPGxpap+YBQjDdxTx5XxTZclQUpdELarlHH+s4BB5kKcWNbpTcqV8fe9va7ZjaAKRAYo5Ga/YhUw6XvseBjax77Dx3AKZ/rJGasR3ekjjxyn71NnRTNz8xpyq8DyMF5QVl6BwDTUKVBJZOjAymWUvyZt15/wxwpZfCpJ3/G5IuTqNZ7rVRd6xR530fKzsVqu4/EJaPvAbhKBZDbVA4gSD0gviNHzzzzjFs1b731lhXxZ0i35WikrGCI6RCWuhIBuHPSxHo3dMDAqPMmYik6sqBox7YFKQGUzafkCo8s4eqZWRUlfroIHzQ45VTIJspLpYAueG1SOiBGUSxRgNBSudLDBcHJMDNmZxAgmAwFzfBwEn4FNx+gsyz5y2ckA4S2AEzicvAhYlmpfZu1LxY4AXJwUUEZ3l+uW0cRT6Aq1jSU5/x2U8e6TqZnQGqRxMkFH86OHkOkysrNsdxTDlyU5aoiHJW2c8Q9NMon5x0p1W+SJ6zr+IyKiLtYRTAs4FOCnxFKWKZcbo1wpyA9LxwN5MAKcDp6/GHm8gu+ZiY//4KZKy6DfUWyMOGH5OVVUppVdcpycVKY+wEn7+dbl/L9ZIlrj8pjd73ADj1hMJlZS3VEFwQ4lagNHEh5eijPP6qX6sS918sosFptjmKa5csCPMRdgM5vdUpFB7ReIMugkgoVymrZO0mfuFTu257XJsUBEV2MxyWEvNmRc4C1Z2PgkIXfEURgbTzzPgpnCygRzsnVCSX0JnWUdTL7A0gWoMQ5fTz1Fbse5ZwERFHuCQ7MbjeBE16qq+WOAGGRgz5SubeKwxol/cgQ6dFuVxpUl3grU5zMSWVl5vYbrrfinmdd22Kq1ZlWzJkrAHjPilPFSqvx46PLTJU6PpwTZU/7w51mb4m9e0vZXTVwkMmSjmqcnn2QgGgNopG9u7HA5O7HLkIWELuxrjgAwmVgo7gbfkuefcZc/5Mfm2ekH5o+491IKSpn5rvWFWKovptVGrwel1g5WToKy1lJuV4k0XCwdEFO6T6gps4ccOLJplaGhM0yGABSW/xgJZCqECe4udo7xvHaCGeFLmhpzTqzdP266P39K70Leum+HkjhqInSvDTimoAu0w8+/uuSWSeFS630c6lQQ3FqHFQq926va5MCIGRjPJnjddD2qmxby6UjfvTSZNNf7vr99GuN+8Ad/Qg51jHKMs9ZUNeSyP394DTkQKtVil7mOCcHTitkon5FaU16SEzoFUnj2k8As0Qd5uiSgWaTQGKjQAKlOIpi56+BHu2JJ54wZQIdqEGi3XPyoL7x1lvN0HEKaPURTpxPvvlGdE+ZxNsP3n0nyj2N00y2n0gHtlEWkf3U+bC6rVSE+w0HHmx1FlXSHQFWW9SBtg7cJQpcleroS2W5WiavdSyG1TovSLQfQO4CZjkOiBGHREZDxMq/wd0IUOMRaV/miCP5hd6NBSlxLQ6sWPrBim3EQMtZOZASQFnQgsuKrHucFvu1r7LCLPc54u21117mVwqGTVX3GHwe3r1N6Rs80Ibt7ZpxpLtRUgAEy44PAR3CdQoaBmtIe0QSJ9vosLyfKJ5q5j//ZTYvXyGTutJYSF/iAGkXcXK9hwyWyOT5HaFvSsQtHfcDsgIQvAonkCgFwenGP5+qaYvn2svxcS1WLNqp/fuaj+Yp5kpAMFrR5jhQ9paFJlsj9YvfuSXKeRUILAaLowGcMB1D6HmCFNzXKG5pgzojP6i3uKp6cVeP/6lJ5MIYgLn2VM2cUaHOCSg5UZDlrrKcERA76x//MgfWN5rxRx5tlboVAhS4KgCLtCLzBGTnHHa42SZ3iHdnf+jprJSeljqhFGcCy1jgg5kYLpswHMR8nFYdZxV8vuA2HtAoqf0gZdcFTrtKhOstMRAFezOw8gETujEsuk43GSw/6e3tckSM8X7aUl5LSui2lNOVzk1KBzRDI1/QusFDwRE5t/COfMhEdEB4K29SMvgNksU3LFpskMnxE9oiEamX4pf6E/wIp7SXlgKVfvIKRq8SJDyML1JYAZ2IER5OhA4LtcUPiOtpL6cYdvdhn38WUZJjTZAvDi4DKMLtLyLefSx3giw9V53KqtWsHfuLe3O6JkQ8lOPL1q6xHR2nzyMVo4V5f6o8lB3dKq6JQQNuClBwhD4vnlEBoMYN4Grl2OFbuFDxf9WbtyjEQX5G4mYAp9OlwxqjZ7EK9tVKuyHQBrxwBt2u63H8nKt3UCFAcsp0wAuuaI/hw8yvxCHhX8XsJYA0A0MQTKkrjqK0IRZTgjDRZV188cU7uAy45/Iv0VkVWrFPgKQloIRyvNeovW1qGf+5rKeiA1qmOcsqBfSpUL+hpaZEHGV3oqQ4oGD4xM7QIMwFVqIPm58jlNCVEtM2yOqx/mMPmD568SULUBUypdOZHTC55STlrHEdARB+7rnnogDkyk1k6bgtRAxHABoWRTdNDSEUTHljOSf0RPqZA93Z3nIdwKQRO6eu3lOIC6QWT3vd6py2So/EFEQ3HTLe5MpHaU8p2d//WKEsimxHvJPDixWR6Nx+8KFkwOfwww+3HrPujrhP4OhGR8T5FAJ80QEhWiEaosR3rhruOvzFfvnA/XYTfdXxEgN/cvVV5mX5kq3UbKmOu9pFZcJtDe1fYl689fuauaTGZKiOa6TLuny//S1nBUABVB635emx2IaDRHGMTmp/+UTh6dsaobPaJN0RPz/drXi5dFOt9GL4Z6VChPF0N0qKA+pqjbAkTVYw/3PVSuG5YfEiAdNiC0iOc2IU26hRe4O4hQ0KQThDDpUnn/VlU7zbELOrvILRH2ElTIQYuQEwHAsZyY8//ngr0mECR8eGZZEYsN/85jc2lgtOBbElUbI6JwGps9I1yMS/RlzHavkX1cjfCXAql3J3sc5BlNuoD3yTOjPrVaobZnAipz/++GNbDzgMv2+MP1lYsE4o87Eijhw50kaWwzU6wnKGIysZCg5RACoeuo5ILYFjHT4qdLirde5Hsz6IgpQFK9XbgZa3zLEpPFCuF0k0Xb1po1kq8I2CVMSNwW2j14Kcktkv2mABjJeaIhUOaMErr5qtLThGuudvaTlIYumuEpm7E3VbAAII6NwD9EESBxWLgmb4WOcE922VTuSun/9CMWMfmuEyjQ9UR0Gkq9MIV7KXJ74VKR7McUxF4qIS8XwO3odtOjjRy/4ZGki8Fe95YpXh38eUNQSu0vEdOP3ke7eYhdJn9RH3hd6pr5boouql2B4kdr9YOrKoI+ZgjwtDfILiARBKZ3+eIzgSgIuQDdaZfZUwAACX/OIEIPsJDptzEBdJz0EgrZ/gFIMqgFydCxj9SG4G63Wf55+ctANIcZzwFQiuqVAc21JxYJjfHWd1kXzcTjivKbOA/76pAND8yVNMeeA5/WUnsr6LuM3BY2P7mCVyfVc8JykRrCs+iL9OcCBkgXOe2ThOMp99OqhQHMmNP/vpDkVVbthotgv0lrz3vlk9f75ZLAc9gAnLByEhDpCsnkm6pkT9OZzTnbsh28kCkCuDpRXr5DZw0bdvsjqtd+S/RADr0sUfW3HmZoXXHHLkURGxbqWe53Wrf0KsQy+DeNpHohjKcOeI2SjnzIGy4vmtXtwLhT0/lMuADjojiDg/BoggAKFX4ucI0c/FoiG6kvqXxPP++5D6tUwc44kSYfGo/o9A8DVF4qNM9uvZENXQQwFGuCXk67jHRfU0h6uD90pRTHJ1Di4bxWkC+qlQqkrsVO7dXtd2Sw4InQSstCPiy2LpBJLhgFyZsZaxlNCw3QDRBumY1kvXxHKDlN90pL5S2vbfy3MRwDoHOPXSqOwIDoM8yXjlQogliDWYipMhPwfkvx6dFhwjToiANyJJPM9qOlHluvUWmKqUaWCDwjM2i5uZP/M9hbAojasK3l6QbxZKLxV1IxDH5cS6ICCQGAtFfkuEJezBBx+0eib8zmg7CL0Teh+28ax3Ac2uLGLXCKT9iaL6WyO4LcDdlR3r/FQ4oLkvvGi2KCYvFRos8Wu3gGtHKuV1hWu7JQdUKguWn01HD9FZhPcqv9Lxh0arQAfHF8ha4wRIa+Z9ZOY885zZKCsdlrf+AiascYNkRRqjOLZ/qRPNl56LEJXdxWEkS3guExmNCEaGATo2RKdzubxbiw+CcypUNgF+TgQDQH7z1wdsWUUChH0Uw1Ur/xpEur3lhY1Y1yci1gFETs+Ej1PPrRXmPgVGzpZeitzEjtOxhUX+EKqBjowQCfLb8G6xDpLrqCXiOpw6aTPHDcc7n3NaAp941yW6v0bm/WrFC6ZCdXIX6G600wMQnZmO4Cd8c2DRCXiFxcdkHDyH8xmNnSLSf32y63zAdA6/UjNeWXnieAbqZ0443p6CGPLM00+bQfKxkVbWLJTZdrO4pyqNmgATTpTv/O9ts1R6mf4CpxJmpRAnlKvI+yChPMZ3BlENMHYEt0HoDIReBbEIDiJZgmugXeEkHW0RJ1Ilb2qsbY7cYAA4AUqlsnJl98iw4NRHXuOL/nS39c257egym8FxwSolFRP3YjkoKZABH94TymvyTkEE6pIgDysi90fkpj6O4H7Inw1nlyjF+kb816byrTQqwLlBlspUqDF0REyl+drnWj6KWEm2MCHzcxTrnHSLYIgyKEdj3cvVI9YSUQJze9Apjw5BrpY9BaibJOpYUU7i3MLXXjf/e/AhG8VfIJ2U81+Cc/pw+TJzi3L6aI5UK7IR3AkgI1o58KEOdGR8gwDoRInsBXBKrqPje4N+BYfMMvkRTZV/EeLu7cpHzUwVTHNEviA4G/IM4UPVS/cb9dlTbPI6d98yKZx/rxSyuBI8fM89ZoFEOsc5oRDPFsA8ctkVpiy/l9kop0zLQQmwv3LmmWZ6JJr9aYE3KSYckSGyLeADhwRotcQFJTKwuPsHl9u3p+6ISCaF7kZNQ0Z3e7Kd6HnQWQXBh+oDZMTcMUsnSmx+fsJMDXfkAdMis1Cm3iXy8ZkwQCETUnpulJvAsz/9uTlOlqZeQ3Y1mbrYrwZNtEMBqjj4YZLH14dczACM06vRadGPQC7LwQMPPGDN6wS8Mkigw8HczjbWMAKYATDoCwKSQnnXYyl7+ppvmhlrVtn97o/jnAi7yBXnNFIBpkOUHrZnbZ05Zu/R0i/JyfTDOWb6/Q9IMT7ENEpXdt6VE9zlCS0JvWgJfBIqpIWTGJxSV0KHANRCE4eHkm0BvJ/5+J2Do78cQhLiEX48A0YMtz93zkLFMd2lPNh9JY70E7cwXp0WBSjK76sGDjabBUobpSyukuf0BlnsModrNlvpP0hNEo9IaAX4QAAl3tPokxxRb8ddcRxfJQBotJLd+wkdDuE6iL7MPIqoCPgiRqHPAYBwbPRbwLgesY7fYumVAELyRZGlAJ0Y4NRHYh16psflJJknjqxQbXnZbqU2PMTF0nl6p1pzype+aBDxHvel/QB8gpkg/fVOxzpOlTgjpkL1dTsGozI4tDQvGHnEyXUOR4jOb+LEiVZNQJgLrhAQgbe8086g+F9dZ9TmU3pPAjYRH0g4RifEAoVF5hQFiqLHaQsxmwhiEQDB9X5/HOYS+9l3vydTc4U5duRIM2fS02aaQIGEaYBQPyxyEtfQMSHWFUl8Qukc5AyC28H6AUIABRwS5wJePA+g48Qi4unglpxOh+NLpGgnswJ6KbYBpyCXRogIDpqIrZADpyUKNJ8hB0Q/9VY56JwGyIy/j/JpHy/xMHf5SpOjdhg1dpypkEiTo4j+cfKyXvDSy1F3gnztSzc1CPgJB0qFYnFQrc0LxnF8qvgO0IXiyY4uEJETkRhiQOgs6pZm+EQbM906oFhm+ETrEus8dEBt1SfFKsfti2eGJ22HtcjJamTFuYjLAKN2XzlVFsv0/cp7M807ygGV3V+e2ffcbZ0jXUoWV35wSW5v3AgYgRMh8iAxKgOg+Azdf//91oTuwkQIGcEpk23OhXNynIs7J959GOVdjiP8aSrXb4j6OLm0KcTZ1UvsPfsv98YsJhUz/Kt/vsusleI8Fdpbg9GYzzZPeUyqXOYF490SQEwqVjcJIfdCz0fAOHo7Qnz45gEkzjn22GMtx4mHeyoK9lSeKeSAUmm9bnItns1DDhhnf/5HqhAnM2PKVHPPL35pcgRGxypfUF+JdZOvvsYcJfeA7b01p5TAgJAU9E0IGE6MRKwERPwZDv1ls+6PNQMgSNOBiMCIjEhAUCnzndE54JZwSKSDYQ2DkyqT4htLHp0MMSqYs9p/P8RIQIqOiGc6Acj8dh3ruSL4z22PdTJvknIXqlLg7tr58xO6zW7KTpmZ7XVTJhwIEoDtAsAxEAR1iRgFIAwEjynDJ1wPiedoS8RYdHFwmokOEsH7p7odAlCqLZjG68kySegFHYmZDuhgnUk4Rf7tvy+a19dFQiW2braj6FzlcZ4p36VaiTi4TY5UiguAibxEHhhp7q4VSmH7xptmuEQfdD1Bwu/mAemJmCUXUCCI9MADvUhbOCBGaNL0MmJDmPIhcvU4MY5OhZ8PFsQLL7zQWgyx6iGm+S1iXIcvmLPesd3RtHHpMrNW77et9IncMRwxj1yQcL4kABhuGR+qWFZNwBdAJ/sl58NJ8oNod6yYIQAFW/ZTuE3IiMuPjA6H0b01fUt7N1PQTwjAYAR1xMdLotF/aBQtEucCEPUToAyS7uW1P/zR9JHX92Ulg6KcUoa4rYbCAnOuUoxgGSP4lCRwWMTgfAAfiHXET3QW1IGYMUAoWB8CZREFHeDAEcAt+Yn8VSRAo6MiEtJZ4ZiCZfmvSfc6FstauUKkQg2B56Ks1uYFo20Y1HhvztmUmVVwqUBfiD+VSyeTSt2SvTbUAUkxGFR0JtuYqeiA6HhYvPy6DFhjykwXxdMBtVQ+HRyFMlYudAXoXt5WkjdH+PxA/rS8gCYcDFHt7+jc4kzNTCJQwirn/TRnvPZVSxcDxzTqsPHmMEX6z1mx3NyuOK+GjB6W0yKMAhCGUMYTiAswI5ph3XFEloCW5pTnPLgkrHBuVl0U9A60XDmtLVPRAT2r9lg1Z25rt2jx+Fhl6Tzo7LOanQPgtjQvGOCC5zviMES6F6xmhCoB6Cj74UQ7K8VOCEBdBID4OAiYZepo6NBDD7UxUnw86aJkAMjdG0dG8vow57wDbHQPsPUQHdpZprC8YCKHvY9HGTrQR6DUNzPbHCCP7sNHjzGbZZnZ+MkyU1DS3/SSUvWZ16ZZzgn9Eq4DH8ydY7kXHBsZ1f3kvK39+1paByRJ/NYWC1BKAHT7j81KWf5SobGnfd4cfM7ZMYvg/bQWRhO8EI7Q5XUKHuuo7VAH1FEtncB96FSfUSZBPiZMzR1tmSA8A6sS3BixVsFRkeh1Bz7Uzc2owaPBgSCaoWvB/wdlNIC3UlH2EHmN6OyOcyF5rKfArjcnHXuMOe2GG6wLwnJxWmsWLJS+ZKGZomT2feVs2C+r0BSKY3rkq1/z3AM0co+Q3gnuabOACaGN+vithohXgEw8AEf0I+kaOiUcIxFPUG6Targ9qL2j4dsKPjxjZ4MPdQgBiFboIoTuAtkcJTT6D8c2d0T1AJbLLrssChB0RpTHTnFLZ/braNjvV3hi6j1THs2OOB8dD74/rDN7LuIluhjKAQAonyWpXR0x//lATf7I7/oRw6zpvFxgct7ll5t8hWqQvRKnys+P2U9zqS01+Sp7c4OyQaqADVqu2a6c1wCT2hK/YTIHoLT2W4fw5oaTQxxxwa8AI6CLZagl509Xz7Yu8eHBFygVchbGVMroateGIlgXEsGYhx1lIUTHRIEYVKim8gG1JILREYNzoGHyhnNxhELYWUtY4vGcTj8lnDAJym3pmQFowA+OBd3Fr8Q1DlQ+5y9rYsQ3Ze1xSvAchWxsEuBtbKiLcFos5VEdUXKTH9t5d7vnY4l4h74oFqUigv3nu7eY5cpymQodKC/uwzTXWneiTuGA3pUZF3d7RsKjjz7a5iX2NyqdkJSkEFwAI3N3J8QeorsdkYgdxS+g0RGEXwimWYI6IZcO1n9v3Pcdl8O762hCBERxDEdFSleU0US8s81v2srl5gmZ5aE8ARDWOA+Qss0e+TlWAU5OaqtTmjXbnLH3PuY9zQqLKEjsHACDVa89qE4DXa2mNkqFUo2mT+Xe7XVthwMQI+1U+W+guUc+xzsV1tev78DSgUkaxaJ/f3s1Qlcolw6NxYI0GhCcR0eBj3t+vIxx04fVx0s2FrUGPFjJfvjDH1oFLzFbACnggIIdzoYgVrZvvvlmM1YTIhKKwflY2/w6GIAGHRP6JCxsxDw5qxX1Q4T6mvJxOxGRupKCZYrmR0Onw8BFIrJZvjm/OKdA98YSN0Zgc7KmDBqZX2CqNaMtzolM1/TWn+4yx3/7Rk5NK+F9jR4oFSKivrtRhwMQoHK55Hk+HEZ95HP0Dw5o+LgAKToi+4OKUHIa++V54qZQPiZDTlHpFKvJlOG/ho7F8yVbHiIFFiSU0Pho0InoeOki2rg1UMcjuTVCNARYyMFT6ss3xHUAjMtwyEDiiHcOAAFQEOImyfcBEjczCJMoEhcHKMHtQJSBuEUCNcCPbwbCQZF3T5s74jugTo6wJFI+4IbCld8SxZuhr7pFXtekKYF4X0zPxMwoeH/H+57cN+rKb8syHek4kv2u2lLPjj63wwGITs8PhSRu4Mjb/o8IhzT3seBif9ddd1kFpmsY/Bb8sjt6gy9+8YvucJuW3Dedij1AlbrHS2faWuXoaMQ/OUp3/ejApMOI9SGzj46K6z7iWDyCC7nuuuvsYUIn0BP5U8TCfcQidDd+QtcDGAbPZ78z57vz8XUB6ABnMjry/cA5+/VT7lz/EgAi/ICYNMI+HHjhDwR3hE7LES4FQ8eMdpsxl6kAEMnESEqWCm1vDNNxpNJ+0WsZ1eloxAsRGOcnXMUZCSHYb3RFcEku328w0RjnMaolQ2EwqtdqiMLoUgATAAqHv3g+PHRoR3BqBEByrSNEOBKRAWgAjOPgmOoahTXcE4QnMoMNOiXCKSCSl7lpegBjgAgQ5lwGI7gbgi/ZBxiwryVyZnmAxoGPOx9dF8DWmkjpzmeZihK6Vs9eXaWQ/RSoLkY6jhSK6xKXdjgHBMdB9C4fWqyPHPEK2R/5Hi6JD5hOEVL7tQA+PIAPBChgOsfpMBaRU8YlIuP4vprs0E+ABAMLLv4odPEtAjAwNvDuCYZ021wHAGH2his566yz7PuGi8QQgSc41kDEMketAQaiIcppwAufKrg0l/valeGWqXA0roxEl+iAUp7bPeSAEm3u+OfhWg+rz4f+8ssv2xPxEUEPgBIWxSQiAPmcYduxxvDBhtR+LRB0YounA6EGcKccx4sY0Zf3FSQAxfnS+JXZgId/213He+cH14MIBuGrA9fUViJshLndIb4pQI/BDpcB/JIcwaHhk8Q8ZYBjexP1iJXPpy33DaflaUtrpXguCkuAp7URj9uEIlhijR3PD4jOcdNNN9lATRSz6N38ep14pTsRJ97xtu5PxA+otTIBMkTDthAzzxLs2hqlIoLdd8HFZtFbb7d2ixaPH3PZJeak6zz1RIsn7kQHuyxrgaIxEfDZidq6y1YVoMd6hYIfHU0i4NNVHyYRK16w7s5qF9yfzu1GmdBtOIZM8UkvQzN8Ol9JWFZXa4HuAPgAaVlZmdVTkeI2FgU5N9wB0Bedf/75NgFarGtS3eflhG4bZxa8Z0NtfXDXTr/dZTmgnb5lwwdIawvgF4ZC2VnRYhWOjxHiI4YM/Kj8ukNAxwFsMHwEfSTcHw6P5KpuD/JiwRQ4K8NKsr/tKToytsdzpVpmh1vBUq1weP2nrwXmzZtnPbRdriSXLdHfEpjZCS5FOQ7hEc155CsCfHBkJHzDERYwAApXAb/OCAMJeqR0Ex48sfyv2nKf7ucFpFl529IA4blhC3RGC2C6d+DD/Z311F8XHBod+LCfa0i6hRsACdRY9/ucYRUjORnxbX4iyBZuKKSOaYGQA+qYdt7p74LnMcpafHyYXaE1L+R0PjBpR/0UDM/hGJkj+TkTPL4/GDL8Dog4WOJFj6e680FzGRdd+fgP4aeGLimdtNf4Q02+0tGmQrsoRUl3oxCAutsbbYfnodO6Duniqtx0OO1wux2KBCz+/Oc/G5KrkzLkQiWgDxKi1MMPP2zBAw93ZpMNEjogPxfEcZweg9Qejq+n3Hh98DbhtlogBKDwM2i1BVxWQ3diMH7L7W/PJVYqfvEIj3mUy+h5YoFKvOuYLQKFNZ7YEDNzxAKveNeH+1NrgRCAUmu/T8XVJKMnVQdABBeBuborEdYvvLKZUYSYQYKcgyEi8eqLx7Y/D1O888L97dMCIQC1T7t2q1IJkUD8IYXqnnvuGU1j0VUekoBYN50RgcvocIjqJ54MIMIS1pHpbbtKu+wM9QgBaGd4S12gjuhFjj/++C5Qkx2rEAQX8gk99dRT9kTCdFBOMy96SF2vBXZ6AHJpH5JpWsQJLCXpInxLyAmEQjQdRP3SVRb1oX48b6r+KO7Z4tUPSxKpLhBv2tK+rn4s20JE0ROh/9xzz9nId/Q4LsUH5bjcQ20pM9a5ba1XrDLCfc1bYKcHIB7H7yPS/PFa3sIRLdlrY5VMx8bsm64y6eDpKov6Uj/KS1eZseoHEJAOA+c+HPqYnDDRBG2p1A8vaX4QeYIeeeQR6xGNRQwfoHQ8c7qA21Yy/GNbYKcHIEYlormTIT4o90vmev815CNmJk8izu+44w7D3OepEnVL9tni3TvVMglzICshznoofsnt7ScyJjrPYsIannnmmWYZK5n+hnzQ5AtiDi5Ssfgp1fpRFlMxo1hmYgN0VryTdLejv87hevItEHpCJ9920SvpaCRWRxGKzwym3e5K+P/QuZctW2Y5jqmaYMBPLnOl2xfcJjyCMAmuJw2GP7mZuyYdS+5LLqmOTuyfjrp/msrY6TmgrvCyXBItVxfnjeu2u9My+KzBtKjMfoGfEGEOpGcNKq6DbRO8vju1VfgsrbdACECtt1GrZ5CnGn0HnBAiIVn5uisRQ0WqVBLGkaAr6BxIUjHM4vHooosuMswLh05mjz32MPgYhfTpbYFwZlR50KJ3SJVI7I4IhkmY5OrpoGDemlTLjJcRsa3lYuHiWY844ohoiou2lIH4hXkca5VfQZ2OjIj+eqS7/VLJiOivV7je1AIhB9TUFimtYW0h3zGOcE4Jm1KBXfhigIJfsh2cjswvpLAFQiV0+A2ELRC2QKe1QAhAndb04Y3DFghboFvogLrKayRnDmJYe2TUS8czklID35tSzTLaFQlXBqZsxo+nKxL+T/yCoR9dsa47S51CDiiNb4qUEF3Z4Q1FuT9BVxofPS1FUb+u3n7pMFikpbG6SSEhAHWTFxk+RtgCO2MLhAC0M761sM5hC3STFgh1QGl8kfjGlJSUdNm57PFOxkfJ73uTxsdPuShmv2BmVlwauiLNnj3b5sRuS4R/V3yOrlSnEIC60tsI6xK2wKesBUIR7FP2wsPHDVugK7VACEBd6W2EdQlb4FPWAmEoRhteOPlliGH6/Oc/b696//33bWAmOoHTTjvN6n+Y5pccOCRKJ/bq1FNPtVkSSUHB9fiQnHPOOTaMoQ23TujUROo3d+5c8+yzz0bLu/TSS20i946o36RJk2x+HqbWgWK1H9HyL7zwgsGl4ZBDDjFjx461gauPPvqozWzIvGS0aTqpre+MQNq7777bEFiLPo3t9qxfOp+1q5UVckAJvhHmJCe7n5tXnCUpQIkOP+OMM8yDDz5oS5o8ebIZPny4mTBhgt2eOXOmnfIFBfXVV19tlawtzW+eYHV2OC3R+qGIJgKdRGD8yJvDlDTtWT/8e/7617+a6dOnRzMTxms/wPu4446znZv2JeqeNiWv8ze+8Q0LQiir00lteWckVLvzzjvN0qVLo0HM7V2/dD5rVysrBKAE30hBQYEh97AjPkCyHubl5dlZQquqquyoXVZWZvbff397GpwRnBCT+TGSk8L0oIMOajaFsCsv1WWi9SOSnbpOmzYtGjTb3vWrrKy0zz1+/PjoY8ZrP9oTQCRPEE6TpM2lfsyGSvsxS6p/CuZogSmstOWdlZeXWw6WWTcctXf93H264zIEoATfKjl/6AyOSPUJ10BqUaarIRE7HyccBR0FToNpf4888kgLQs70TQejQ6abEq2fewZEQTISwp0Aku1Zv759++4QnhKv/QBqxMF//OMf9hryK/nrRz3T3X5teWfDhg2z3Jj//bV3/fz36m7roQ4oyTcKd4P+hJSiAwYMsLoNPmSIxGRPP/20ufLKKy2HBOjQ0SFEivaY+tcW7vsTr35ONORU8vKgN+oq9WNGU8QbZjel/vfff78FeFc/9qEbasvMp74maXE1lXfWEfVrsfI78cGmIX0nfojOqDo6jFmzZpkzzzzTigcACx0E/QT6GKb7LS4utlUjdw7KawjxoiPyFMeqH5wZc6zTiSHSq1KXrlI/2g9wdlwa2/yC9UtXwjfbCPqT6jtr7/q5enbHZcgBJflWScZF8jFmw0CnQpQ59Nhjj1lF6+9//3u7je6C5Oh85FhOENOI+G5vilU/Ojb1uffeey0nRtQ5AISCtyvUD4A85phjzAMPPGBT2wJGeEYD5BgA0FsBSJ/73OfS2nypvjPyXrdn/dL6sF2ssNATOsUXAjeR6OSBbTk3xWpFL491TyLO4diCIQ+xzo0W1E4rse5JxDmmbcDGT7HO9R9vj/W23LMt57ZHXXfGMkMA2hnfWljnsAW6SQuEOqBu8iLDxwhbYGdsgRCAdsa3FtY5bIFu0gIhAHWTFxk+xv+3d8aqCQRRFJ1f8BsstBdLLW0sRERsLETxBwSxtbATxNpW0VbwB/wZbQQrwTY5DyagSQgDsytr7isirs7s7jFcdmbefSMCWSQgAcrir/bDNZNnRJYwmc4+2IN9u92aZWA2m9lyNkvY7F3vS4uS/0Ida3KY2CiQ5EQCn1av1zPfVbFYjJ78569Rr/+bgAToTX5/VrTILva7krKKRCJftVp16/XabTYbdzgc3H6/d7vdzrK3ufVut2sicz6fTXzG47G7Xq9m06ANhlCK2WP1UIhAbAISoNhEX9gfLnvyUYjj8egKhYI99WCUxbmdz+ftWL/fNzHie6vVyo1GI1uSZ7cMsnovlwsfmWN/Op1Gz7uxzvVHBD4JKBHxjf4NSNAbDoeW4Ux5iE6nY3d3Op3cfD53y+Xy625JSCQQm0qlYomImGgxgPqdKcjwVYhAkgQkQEnSTblvnl4QIeru4EVjny2iXC7bUAxxIm63mwkNQ61Wq2VDtHq9bk9BmD39/BCZyQoRSJKAhmBJ0n1B3wzDFouFY+LYb/DXaDTMMoJjH3Fh3ofJZoSIwCqCdYO5ITxkZEkrRCANAhKgNCineI5arWZDMD/84tRUEMTvxRwPxdIYZk0mE6tnREE1SmCUSiUrsEbNntj1dlK8fZ0qYwRkxcjYD/bX5d7vdxMZymzkcrmHr/s6Os8rWhyn7o6vCfTQSG9EIEECmgNKEG7aXbNszpJ7u93+Jj5cy7Pw+Ov77bj/XK8ikBQBCVBSZF/QL4XRms2mGwwGLzi7TikC4QQ0BAtnphYiIAKRCGgSOhJIdSMCIhBOQAIUzkwtREAEIhGQAEUCqW5EQATCCUiAwpmphQiIQCQCEqBIINWNCIhAOAEJUDgztRABEYhE4AOAdR5nfkWE9AAAAABJRU5ErkJggg==" title="plot of chunk quant" alt="plot of chunk quant" style="display: block; margin: auto;" /><iframe height="600" id="igraph" scrolling="no" seamless="seamless"
src="https://plot.ly/~xysmas/179" width="600"></iframe></p>
<p>no. </p>
<h2>geom_raster</h2>
<p>Example taken from ggplot docs</p>
<pre><code class="r"># Generate data
pp <- function(n, r = 4) {
x <- seq(-r * pi, r * pi, len = n)
df <- expand.grid(x = x, y = x)
df$r <- sqrt(df$x^2 + df$y^2)
df$z <- cos(df$r^2) * exp(-df$r/6)
df
}
raster <- qplot(x, y, data = pp(20), fill = z, geom = "raster")
raster
py$ggplotly(raster)
</code></pre>
<pre><code>## Error: conversion not implemented for geom_raster (basic geom_raster)
</code></pre>
<p><img 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" title="plot of chunk unnamed-chunk-9" alt="plot of chunk unnamed-chunk-9" style="display: block; margin: auto;" /><iframe height="600" id="igraph" scrolling="no" seamless="seamless"
src="https://plot.ly/~xysmas/179" width="600"></iframe></p>
<p>no. </p>
<h2>geom_rect</h2>
<pre><code class="r">df <- data.frame(x = sample(10, 20, replace = TRUE), y = sample(10, 20, replace = TRUE))
p <- ggplot(df, aes(xmin = x, xmax = x + 1, ymin = y, ymax = y + 2))
p <- p + geom_rect()
p
py$ggplotly(p)
</code></pre>
<pre><code>## Error: conversion not implemented for geom_rect (basic geom_rect)
</code></pre>
<p><img src="data:image/png;base64,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" title="plot of chunk rect" alt="plot of chunk rect" style="display: block; margin: auto;" /><iframe height="600" id="igraph" scrolling="no" seamless="seamless"
src="https://plot.ly/~xysmas/179" width="600"></iframe></p>
<p>No. </p>
<h2>geom_ribbon</h2>
<pre><code class="r">msamp <- movies[sample(nrow(movies), 1000), ]
m <- ggplot(msamp, aes(y = log(votes), x = year))
m <- m + geom_point()
m <- m + stat_summary(geom = "ribbon", fun.ymin = "min", fun.ymax = "max")
m
py$ggplotly(m)
</code></pre>
<pre><code>## Error: TODO
</code></pre>
<p><img 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" title="plot of chunk ribbon" alt="plot of chunk ribbon" style="display: block; margin: auto;" /><iframe height="600" id="igraph" scrolling="no" seamless="seamless"
src="https://plot.ly/~xysmas/179" width="600"></iframe></p>
<p>Points work, stat summary doesn't. </p>
<h2>geom_rug</h2>
<pre><code class="r">msamp <- movies[sample(nrow(movies), 1000), ]
p <- ggplot(msamp, aes(year, log(votes)))
p <- p + geom_point()
(p <- p + geom_rug())
py$ggplotly(p)
</code></pre>
<pre><code>## Error: conversion not implemented for geom_rug (basic geom_rug)
</code></pre>
<p><img 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+/h82//9m/9dXXhYcIHUAP8BekHr/Iqr3LVfj/uiWi2Q6g8aZvtflgsDAtNjYkP/uAP7tN5bhnhISEZIuzf533eZ2HJxt3vfvdc7rG4Kavo1c3fprT5kxNKJGww0AzHlm07P49HbaSNmcZAaIyiFu9CDU3VdQp/8j0k6aBcn7tsy5T6M3EM5kOTATLU1n/913+9oirWRQ2l+/Iv//LFQx/60D6tFdsmond8x3e84tmhk03b25r6tJaheg2VqZ96Xnqu+E/91E/tf8OFaPHCDWhAQhjk+3mf93m9wBrLP+1st9LVf971Xd/19OsWP/RDP7T45m/+5rUnU2Pwq7/6qxfeBU9dHAscAGN1qu02iW4zge9VALE1qdW/8Au/sHiTN3mThc23K7XBZVyYbZqkJyhoS7tQQ2uepHfdiCn39nn00ggCA+6QZHC0HfkQ5Zv1dfB2YNuB74d/+Id71V/n/6AP+qBBnvzqr/7qFdUEyrZ954oEzz3ZtL3Mrnvd6169FvQhH/Ihvbk59V1FS5H+rd/6rRc0O4OaVmWrC/vzuP7TP/3Tp1WemvfpA90P1kQ+reM6wRytraZrf2eDswgXmlrKZ5FYkwY2gWXleptHPafNHa0AEschsAzDMZ+0XUZATp1riAza2Qs2xJnze41JcvPNN/fbUdiDhmY4RLxvwG+kD+wK/B4qyzXBgyZO5lMGmAlwU7LAOpqF9W36+Nguh1PLwC9YjpXz6HVf93V7bX6VMIDxRPh4rn6JmIXCxD0k7VUDAljygnmJBMiqOAYCaExIta7aQzJpLutqDtBUDdLXe73X2yp6lga6KvoWAHu7292u39uG8Hnt137tqyu04yvqBcMU4wMkFi/jowjrEvP+ls7lHoLb8GiN9fOkW3UkwERYM+dYBUy6KcR5QNCoB1qFbU3Jc5s0exVAOta9733v3sQBtq2it3u7txv1dGH4NmDXqrLn+9M5wFngUzLcxN6rzynRcvdJ+oa/Q5K1icEk4STv8R7v0Qvcdeqgz/L0AZSRZSVA510QMw7G6h3c6U53mrSL4Uu8xEv0HjtBv0zjsaVPu6jflDz2KoBSgSnCR1o7/I+ZYHmRu/aCpY7zcToHmNOJUYGf8cTsWwBNr93uUsaDlRyr6ZJrU45f/MVf3HuZ4G+A4+BEU54dSsOq+MIv/MJTT5p6iTOKJ84z4nhM2qwPQsoaPuC9dOoBk6M5VQcMjI7WJxhx0+98DdV32bWDCKBlFaj3hLAPxShIQ/AAFWc6ew60JlN7fvY13E0NmFz3uc99eg2eCWgJA42BJrQOwY9qTM86z7ZpCX7LMqrgkKZ+EcNiWBoOvExaa73iaCGYANjxQDIPxS95nhueVkVh4Hl8z/d8z7b4nZ8f1ZdRIfTLkHxrY6rbfltu6Bg0q7ycbfOb+rwZhhdsWVun5rVOuk29Qm0ZZkqz+pOf/OTeu3n58uWl8VkcEef1y6gG/KUulg14jPSXmzvg3GQ5RPAVeGe7xGEo7SbX2i+iyoOg4WX7gA/4gIVN6EWTh2hAtZ9V/Eca40kk+td+7dde4fUStxfgP3kNHbf9Murm0P5Qbba8Jm7Iyxv6owGNfbJny2Lnx9fkABNC9C/V3rKMa9ks1ufqpvE0j+BCa7JtJ8l5v+oiXcsmBHMKRETGTiXvxpc2QmLyqnkFkzKZtC53guoQdFQmmDU1Y0KGvbqNK/QQzJzLuHY4wG3OW+VrvR/6oR/aR2JrHQ+cmLazJEGZzCUabWv+OrebpCBInmNp4XO0Vdei1Qg1EAENlBbEWOnVX/3V+wDJem1fvzcSQNRLMT6/8zu/04ORXoi1JC0z1q30TTfddEWAVn2e6vvgBz949oRVpsy/N+IAc5Db2tE3tHhqK8FP4ChI37Ycg+bAHW8D+VbLqM8e6rdVA2Nk7aXlI+KqAngzterq+9/7vd/rhRPHTyUY7JSF4/WZbX6vJYDYw9D3xz72sb1aZ/UspN02qr//+7/fS1ML8DYNFCPAxjAe5cyBiNu86vnZcMDyB3gi0l+59+9whzvk9sKGXSHYj0hsX6toiSkGexEMKNjwHd7hHdoka52b0NUHAcBt57GMlMsDyTogSOv4MGGLE6L1CE6M1zL5MeXEV7UrD4bamWf2cZwsgOzLi9m+Xmr3t9rYVExoOHvy8Y9/fL+qOdenHqmJy7YBABYPlTs1//OcjhuVoCegddJVQZ3nua37rnsLELer0S1PuKUED/KADZF1XoIxkbWOzB34jMFvaQRPk3ipKRgZIcGsYvYhwsgSpjHYARZl6UoirK3gtxYsZGX75cuXr1r+YvzQ5kQ8W/oUYs7d7W53u0obzP19HSd7wazDYi9OIS94aPXzqmdJ8mWxFmKExjrDqryH7p8XL5hOVj0bZkZbJqxLu/KCrVvusXnBCAdbyXI946UgwWpW4bd4GR4nOxwamENkEqgeJmmAujAUZhsSKS5uamyZSZ+o+0dDabElMMfYmGv7hL4cYSTPpz3taYNudF6rn/u5n+ujym2rksXJtDca07p0MC9Yy4jMENaS0HrqXj+bCB8NHzO/whQD6HqktpO36vT1yJNt2kwrsVeVvad9wK8KH/laGMu0kWZM+EjH7d0STShRz+4ZH+JuVhHni2jmEBijHXO559jCFYRX1ZasDWvjlbSTYIV5AaAjfOTXmmKuHYImm2C1MlQ3drGPx2GU9STWpFAD4UKbEju8HWzJi/CZGlGdZ66Vo86Fzz/xEz/Rz6TWJ820HQfE8YzF8kzN2VINmoOtNvJ5ZYP89re//elKde5seMsUYmbHSyViehkpxyZnNnBjOVhl35LYHpqQWCAYqj9YrY8gttS64dv7+zqfbILVChAyJDtcCFimkXZQE7wkqGlTYlawe4cIk23VGVR/KM26186LCaZdgv90HjEcm5qhhzDB9AsTEfd1tsw4NhNs3X6yKj3TJ1/F4AJnmvGiwYBgphXgXpXXpvdhO0zKVavhBSq2wo15yIrZZI/vbU2wtTUgAwEAJsaAbRs1FEC8bfAScKzumLjpy7gWnyN4d7EN6j55A7OAK2QQ+NoFt/W1QE9/+tP76GYYT+sIYbLdeOONfTONAdqJpQybEhyUGeedG18t9GDje1qM63YybPEl4QU81TQfwHbdSYKSQIPO2jAKBC1u00lt0zbmuY00IO479qOZDqBl0yVrTszQY2u5UuCyo3U3VlYPESbaLKl9+UNpp17zgr28dl3N1Oc3TYdHysyWCJvms+5zTNh9LjsRolG/bCs6V5wJjZnL2uR1SNpVe3mXuO4RzQ52xNM1RPqpcrPlqjSwJOODYHFM1PLQ864ROrAkxC0Oj6K56Pu28aCpxPsGy/E9PfUh+GlddlGMNxmu9OhHP7rPq/6TNpiR+CBl2IgM5kWATqVsaFajq6c+K91GAsgqYS+BtuKF2NVOuPe2gYheXhbJDTXCDLspwD2U31kKIAL80Hb3rgbkEC9dY0IzOULMkkvdOir9AkZyXgUQjPNZz3pWmtVrJ3YMHCIudwO4CiDjJI4Dg15skUkI8CvmyGR0ww039ALAtdYbxrUvtAWBOKpAkR8TkDZEqDz1qU+9AnyG+9Dexkg9CazUT9S35TVTiQAykW4qgIbF+IrS4TE6FsZxuVvpOzYjrMjqitvyXSaAdq2teHmE0KE1IB3F36HL9Y72WaadC0Wrm/GZKjC7lOd4aAG0q/bSDCKA9BeLidMuHRj2YkN9g5gGIX3uu5fBLa33Li+mmrTZVhX4bG2d68DxgNqEd4SP51kIPGbJk8sfKccfDYlQiAYkyDJ16RM+9596RBgmL7fgukPp67P197bvdKPFqLd0QVriIwBQVG4BWZb8b0vLNmrCrF0IuW3rOD+/nAMGlVldZLB3di2QAFwajx07mZntboYW5sJSCF+u79bMbTEamj4rIsIHj7jqBUTimXgcZhZTzFYZNNcQARVszXYZj3zkI3OrP9J4Hv7wh/d1pHnRaGp8kES+MCI+iXCiicszdOh9nTYywbiEBcZRuzDN5uJ3vetd++1XuSA3JfmSwENE+FBd17FPh/Kp1yLU2g5T0+zj93nfjmNdnly4sNl2HMBWg8lqb54bgOoUskSB+WfgwStp6/skwYx18zJ9uMIRdlPMEgsgPROHlmFhK00kZNmETcVagSVw8iEPeUiPAWnXELAfL5gwFl63VouBPVkf1nrBjCsgurpwcjDxWtA79Rs6nokXTJi4GCCL9hDNxdcDxKlsI4C44FvGpdGui8amXs60fw7wslglbabUcXcJ/k+tPU8NDQCJggdmT9nYizbuCw8IJkJAMAn3RfDP7OTJ80RTqkF+Av9M0HYijCeTuWQCrAKId4qwEdtTSeCkvynEUTM0hmg93mMLcUjLeQT+IAAPTWvryGxgKmRVHzERADk14GqskavsyXZmGMtnvr4dBwSZGjQEEC9W/ZLndjmvftqA4DHTp8zWldrzeq/+5oau1J7Xe7v4/ZVf+ZU93kV7sV0qjIZWncH+jGc8o+cjzYcjBdHkeX1bsh6yAtjt/ZwTZlXI5Tqn0BBliROAmzBsiSUDh7IljkDjdn1cm35X52sLIAULWoKcUyvNNDQgduRQw9ap6DIBRvBVW3idfOe063GA1lApXy+t1/bxG7boW3LiUgxmLmTvHcE2xLxMIdp4SHzLkMmS+7s4Epjc5v4sSWI20nRgMAT5J3zCJ/RxOywEJk6EAY+hEBYmeSjepGh/Q6EazDGaqeUWiT/K8wBwZSybrLntbblhCx2Ex0IDbOPx8z//872Xz5KNQ9BGGBBXIe8XNZ0UBpiR+hpdmbluA8wKy/CY63Ux6rp8HEvPtjdzriLYCYAz78JeyDxam9KF52JABpNZ36ADgBqoBEtIp7e8IATctXEWbdtxnWU+IrIJBuDxsjVVKWudo/AJQDtNBehOwGS9V4D3alq1edvStQLZ2mdS9wzt43M/93NPLQx4jvVqIR40vAspj2Zo7DDdaFkVj0o6JnTrjmcGJrTF/kA1hMJ4zja0yWPoeFAMKJ334sWLvbQnMRHGAQi5YbcB/NLhhxrqmhd/VhGbY3W6Fq8DJUW5MwfMtLvSIMSvcDWjJz3pSf2SBYM31OJMNF5ahL91Sb0tBUmfXff5Zel5vLJmC/RgIIeGBI8I/ywxYgJFkNKExNN53rotVoSJvcIbBIQJQWQ0fmR5Sy2P2Qp4T7Bk7tVj3PX1GoUhJhsc6CxorTggajE1EtWZiwondoEbchsyKyyz11etlt+m7PnZKznAK+Jvl2SQVOJUCIlFEfVrozBrC83yXMjHSNnMTN20yaTbmkKpN2HDrc5pQ+CAKaIlCT6MYHrCE57QC30WBI2ROYrsfAg8joZFMyGIMlkzw5wn7qd/qPwDigveJdztAYTPoA7eNMsyQoD6Gjd1KHf8WiYYkJi0/qiP+qgr9g7B0DA1DdrkCImPfTz0PBt7l5HQ6ozpeZlDZe7j2vXqhjeIYA1meZOJWd0AZS4RNkw0Gq69dAzCZeQZZgPTbEwrnmpyLivHPeEAj3vc43pgFr5knRdvFdIOniewBIyqalxWyxsrQ3gMM8mgr8Q05eVlOvL+6Z8+aiiUoCWR1PJmFdCcLnZWibQhZdKu8BeP2j5uwSyhV4lyQVgSUEzBKXDKQU0wmo4By06natJWNKxK0tqgdX+zY5cJoHXzm9MfFwe4p2/u8A+YhXANEw7S6QO22hHQwBDcOkaW/tzrXvfqI6vN8Lx1226tMVaW63Z6CA5jUNNmDGAYkGUSll/4o8HHlKGVEAgRPiZuppI+jrTduIlnT/0zuYohijVhnOEbT1olmhePWyKmaWXwonjZYHbMNThOK3zkA0tiBlvnRuhpozg8f4ekW29SGKZpLAYC+UjgNiJzk3zj8Rh7tsUIxtLN14+XAwYqHCTCR03bmTYDcawVBl5CNgTeBY8ZS7/pdXmLKapfjTDwDVxamj84WUgcDe+wgS98IdgQbYnAEi+UuCbPwMQIClqh1esRVsmPpypxTyKsebhCtLsIH9doT5ZsCAlgDkaA0bISe5RnHWl1MFwhF5xJAP+zoLUwoFSQTSowisrGw6Dx9qflPgX+bUrpVGPPty9oLN18fbcc8F4sQTDw3uiN3qj/QigsYoh8N95szMyiDVjIuapzW7ZhUrPCG+BdV4szVeQJRM0E5HewSHUYAliH6uYaDISWBWivsAENjEZTvVOih6vw8TyNi8aWL0wAfoULMHU8D7vRdhpcnDO0psQE4SOvMSFL6+FhHCICwiZj8WjRgGhVTFOWRzX1PA/ohsvWgEVeY4pBqz1J3278F4zJPaQNFItobM+5uvv/Gwkg9jc1FEMQwFDsgRD0bQRQBSWHmurlbuIRGcprvjadAzw9ic4lDKjsdgFsCXgMrzB4QuLEzNwwijEyqKtmkHT6ma890DoIGZoP7MPgNjDdB+qKHZpCFsnyuhm8NHdahz5MmDHpXCcAtdVkF3MmeVsOwgOmTpX0WwLIZmRVK5HGuq1Ws18FMxCGtJgIn5TFlDIGWiKoqjfRfXXimW7zaJ/NOQUCmWzk550TQLxzMKR90UYmGCHQxgj4pvQq1XnbRmQW2Taf+fn1OFC/DOrJ9jy5MTWq8Ml1e0ZtQmJtCB9khs5ey8w4mgPhxpM0lZgn0RxoaTd3eBQSUJvrAOV4puqHAPRtMTawK0smIlSkMR7sjUUDmkIxzQhEmAuzTRwQUzJOHjFSU0g9fB2VEK/0zGc+c5LwYbUw3YK50ZoIH0QQWoi7T9pIAxKwxDY1q4mCpg0xxbj5KgHdmGe8FVR2qucyM4pHYVkIODt6psNzwHulFXg3NAbBd0M0ZgoJatyELPmp1J7Xe1N+t8/nvOJR8sm5gEAmJ5MNoJxBbrmCvs+c4wYXmUzTqcRZQzj4+oa4HsA5IqyMGeYZQSYPlI3cCKN2cud5Y8YNQRTaYNU8t3rdRwjuU0HuvpDyj6cL8Cy0JsLU7XZ8asc+aS03fK0I8AomYIYCdFFLY5IlXRbGEVYC0KD7XtgY6cBDKqb0mPSUpzylF2Rjz697fXbDT+cYzIBJQgMYWzJjgABizezetT/YBHcx3GJoAC2rAYEHKLU0hCBgNjGDpk5EBlO0DeXAmWgL6sJ7xU2OaDxwKC5tfXVdhwpw2bMhXmLYl7LhVlYLCOykZRFkNDjaBYFBELUEG4opZ0zwCgoDkJ8/WA/BQ0Ca5BFe0zRrfjx3wHCCk5AkyHIflmR8DhHBZIdEzgGCMcGKQ2m3dcNvJICovaKezYzLQCqdESbA5UfwtMClmaHaqDrFEGCWhutAbR65t8mRAPKXl7hJHps8o/PoSKuwgCl5M3mozYTCqnCIDIYp+e4yzSrNdlVZdl2gSSBChali0I+RJQe2iNGXaAfWPnnPvvMFEGfOEYqcKYjwyep5M771UAboVCK0sl4Ojw16gqYG69a8aDPwIu8uAiH3DXqmrIGvfxhfJu98sJDm5XkTNYEckg4+FxKYyBuXBasEhXEYMqGPBS9KY1yqf9WO8mw9wuQI302Xu2ykX5mFqOSAO1IVAN2GiKtkXKSEj8V1VHeMCAEtY+O7tqqxOp/ZY5ekY7adYJf5D+Wlk2qLsrchHVjwW8BSA23ZnjnKa7XUbcpf51nvzYBidsALgb22iFg2gSX/6vEiuM30yyJ1uc6zCddNN93Ub5QPrL58+XKvtcvXVyvgH2Z328uETEY0pDZIMPcNTNpL3RaGV4zHjBfPoNZGOxfCmLznSupPCGby0eftF0RbMZAFVcK+pDF5m3QrydN7VD8erwREWvRax4axF+Hj+aqhOefGN4ajqbb8rHlJP0bqsk0/3kgAETr+SFSz0z3ucY9ei8D0aocaaAYIDwG7WiSzTbRD1d3qWtaW5X57FCG6Ski1zyw7xzgz3lCg1rLntr1nltM5WlfouvkayBE+nhWhu2xHgl1FBq9bT9oEc4pHJXtIGbRc3ssEZsqBm2SgucYMjEZg8jCJ1Viilq+EgvQRSsmXBg6Poc1noSZtjSaZ/IHVNAtxb2J+ANb6i74bgJaJY8uSCi+ACwjKNgaHgKsaN7OUmQonA0jTZhGtp2o0qbMjFznBzcIAfRhb6ud6JlMC0h5Ixhy61C0XAaSbpERtE4B1xTvvHiG2LlEoanvWfX4jAZRCvAgDSaPNrK0kJHjSGYBtBsAyWiUMzmr2Xlbns7xXA9PUYwybOcs61rLbWJP2vKalKRAC2ljbqY/E2yrOiKlFwBjEAvsMTG5kQK6+F9xI3swupo9BL7o47nvmHSEHdyEIYuZLy/U/RMwg+VVNyVYaMXNoPlXbTx7qT/u63Glj2mh3AGYMt3mFHwgfsUqt0OQaN7EjkzHLo2pZJmmmE4FM2BOC2kNAIbyM6dlfeO4/GNMmAqjmscnvjQTQjV2MghBuswaPgNlsyCb3MnnISHVqK01pGa3SRLaRtMvKPa/3aAIC4Qw8wgfQeKwESM4yhdQxs3XOczQQzewGswFezR19gHZgcNIAgmMAkmlJtjy1z40+RwDRaKI1w4OA2VzUTI5qZsBxWmrXSrX3IwhyPXVxTrgQaPGcJY2jtsGItD/3YSiECc0JmaxN2uruj5ZDkPB2ZaI3BrnvpaWZAZUB4O6LhI63rs/wuf/Ci3rN75iE7fV9n28kgIB0JDd1v30JtcIku0WGBMsutJexDlvLvN5+m4X97YOCV4gGpiFQ36swGCsTNgUTEZjKGwQrZHq3XrCq2dS8eKGiScBnsklX0sTUyUDM9XpuUBrUie9JGuZVBetpHkwXAq0dnPrs0KSnHFqECaASflUCeqeu9TrBKAiS9UAYRaMDYYjJAWKrd+qOb8YQLCzjiEkrFir3mFCxNowTHjIhMPe73/0Wt3SAtUBP45GWgy/aXWkMMK9p9vF7sgAyg+kIQKuhqNVUTufjnq9YT5iWNGNHnSZMH0qTuI2he/O13XDAwOdGh10AYxP8B0sAGltKgICxnAgGbusBofrHq2SdkQHeCh+mEVxiiJgplcTG0LBhNjDFmE5wGBo2IUHTgeWsQzAdA1KftRUIAVDLNsCZYfKngbjH3CEM2jYrV73wDgGTL3Yeq5YEcfK6ZddJ/NEGQk3/1qaHPvSh7WNXnatT5SlhRoDmGmEooJA2admINiIali/aeH/eESGJ8JXGts9FvX1Bzb/Jbhjqn5fhhYn6rDODF6IzUgfNeNWz1ZS39FQ+y2iOhF7GneF7OiSTI7xzTrDogC3BDwxicSCCRoHclTLDwmaYLMwdwiGDKWkJnErV1HHdALOQM+ZHTes3Z0TAW8t8mBL6HlPf7xDhmH5II2CaTSU8IGAyMGn1+nUlZpIgWtus0sQICH0bL3naKoYlH5HW4md4fOVVNTL50uxgVZVfhEOEgDTGWeucIfgsfakTOZO7wh7emzQm8UpV+LhOyNCwCCYmm7rSbvE2XkFWS21bzW/XvycLIB4L6iHmQM8xijZkwyQdiVfMy9Fpx2a2VZVfZWJlEK3KZ77/HA4YnEIfzMwmBh1OrJWZGQYSj0v4RcWH1YVgGjQcBPwMhmfgx0SSHiZYSQeOV0rfoDkZHLw8AFj3lxHwVuSwSQ04OmYetNpyhMmyvN2D7agL06TSkIZN44kArYLCc+EfE5X3V4Ck+B1aTiKck793MbS8gheuNUV517jl1ZPwI7CYapXwn0YYgn/xKEpb12NGW0y6HCOsjWNlIJMTD5l2eU+HoCt13QklmvGomVQ8CD1Gk6BjnWRClpOTVPV48kPXcUIChxcEEd6EQLwqBAcQt+7B3GIaOjKAWywKj2Y0lgiXsLY9N6gIMwLEropmas9OcbknT8d2Nq/3/KaNi8i3BosAEBdj8NNuCIP2eVqSSGjxOnWyg2OKZVsW8duW7Tz4J0dAhKGx4Q/fmFaJcyLIjJFo+bQjGiThRjAJ7q1YV7xWQ+W61gpDAo7mqn1inwhwwsU7ZGrW9npeeqD32E4FY+v9PLtLWlsAKZy93DIAQ9nF9i2BwLfq55RKY1g7c9TnpgCgNf31/rudFNoB2d6nFTFLzKbAU+5pan91NeMp88zA17ENfCBzSwQOrWufRLAxnZiEtHEDH75ikBOC+iGsKe0kZGrQYerGpV7j13K9PRqwhBfClyxWbcFr9wlBcTgPeMADegFJCzRpeweeJSzEDiXWh0nKk0eoERbaYgwxi9qxBECW1oRMkIRMJrQiyz54/EI8ZBwIzK+qJTLDaa/qQnOr0AnA+hC00VIM9jiXKpUc2EbaaryITrMqO3cTFW7oRVYmmNEvrBEiX58d+u3FeomZlYbS7OMajWEXgYhT6sZcNsAMUBG2cAjqPZOa/V89Qqvy09l5VSyFoGF41/HgLHvWOzMgA5AOpSVEaEzc5Jt2fuZmi+OI92HKEIi0gepuZnLRogitKQQDwzN1JcwimGk6vMJDuNpQvjd30cwm21bLIZgIfvlngudpJjxChJjwlgRO0qxcCxlDtNyhsUTrhf/Ae0KwJAKI1lQxPwKcEFxFzGVR1lV7W/VMvb+RAKKOsxsxMUT91Tl1dMFhtTFJs+o4xLT6jBdXN4yq9zb5fT0IIHzRQXVUsy9TIefr8owgqyq7AZ+d92A1PDr2jrFbQp21VwkgQYN2BiQcaNEGOe2h5jGlroRAvG81vUFHI/CXOBv3Dbp1za6ab/1tQiHYub+rllHT5Ld0YAvm6TKhnPT4QQiZLGlEJvplBEBuxxJHxOXLl3sc0D3ltsKr5glzEnO0irYVQBuZYDoydS4CSGPgBCS4TpTrqyq/7v1l5tm6eV1P6XW0Su25e94bQUBYjEVU12Ufnok5wnyALyGxJ/Amk9FU4tyIZsK8AFIbnDxKQ+7usXwJRx44IQPBZKSN6S5wT3ySAboO5kOgCC2AIXHC4I84HtgTUJ+2wHSyFGaV8OG0iebDSmDytvhMbR8Ns2pXWfRa07S/jUdCBi8JZO02XkMRelVzyj19gxa6allU0m973EgAedEXO08KVyx1GaJO1WWTY25dY7JtBevzBNy1SJtqJLviBcFuZwOzJB6L8xrynrRqdoSDGb0Sk3wdATQk8Jj4BFP9WF4tY+g3QcO84L1TPkEDr8qOfuoL61iXmChpI2ELV2J2IUs1QAPMuVWmPGFTP/AIlKdFJqI5gkG+vI5MPDAHgLqlaDHtdee0K5qptXd1ecdQ2vaavmiiockti/drn9v0fLIbvhYgkInrEYPgGTqK4EMM9GL2GZlb63Et/LYiWYdhctzcmZhnQQQG4YMMonZzrdTJ5lVVe8o2nu2ap1ZQ5fmxo0Fm5Xc7wcRjN/bc2HWCSFAhTSjbeMQzxX0Ny6LRiEeCO62iiisBaus5jSt4DEEVz9ilS5d6LSt5i2eqwifXpbedKtMQsCy+SLCnuhtXwgXwvaWWV/U+bRL4vY7wSb2TTzVVc20fx400IBXhESB8dNgAmVyKiZnYR2Xj0txH3meRJ6AxUa9MBuaBTrhPYirBPpgNBAiHQftdLYCtQdqGPQBxeVgISmp6NIs2jmXdaNq4og0cE1koplPONz0S8uEz4NyATvgB7MrXJ6KFMaGAzSKrQ7x5WY2PNzT9hDewAJhViFvdX9VoYaPAac8wiaI1gizgRniKcl08XUvwH95lgHlolamnDrx/MW3z3NjR+4xJLU3Vxsae2cX1jTQgzGNqETzUUeriurvIDVV+Fejo5V9LVHEK7ZraWTblAU3HgNN5vUOD0gCBZZiFCRL4nRB+gsmm7y0ZMPCBCB/3Da5KU1zaNX1+w34Cnpps1A0ZDIQm4bmJcwM4HmJuMplCeJ7ZnpZkIas+LZ4mg9C6LwLbcgzCJMJHHoRIAhh5mZh4sKBolMYJV7t8/eYSt27LnloEIYcNfhMANOEhEB1PaEIpR7mEPBgkZAy2pG2cNjSvbB3Spsl5u1A4Aai5v6/jRgLIC9E52No6L7esYKyhDrtOxZeBcfI5VHj4OnXeJi3cLEsLmDbU5n0QvtokaywQ0OCG6xkYAfqZFrSFKcQtDDOAG+kbtAfLOtYlzxuMsBKmfJZjiFWB6RCeBmwExtT8o2VIbzATMCGCLlu8GqSJtlePfF7IeyFQCJ8adyMPLmi4ECK0LEcS30O7NMHgvV0K8lw2H+sf6P4RqDaEJ7yU7Yuk7cQkLW0UpqMtBJnftJxQYpJynqP3gJ/c+a2pnDSOdcMyPCIgD0EbmWAEjQ4SO3RXn+VZ1eDMjqvSnaf7OieNgrq8afzLqvaa2ZlOY6QjC79P7EnStUsVcn3oCPPQD2A5BpK+QXAAb3nGaFY0WJoTbWtM2zXAqsBQlucrqSsIoBJhAYuhFQgFqQSbob3ARAgG2gT8klDhmk/6FgdRLnd0hEfNs/62fAHVeorlISwJzoqb1efyuwoSAsvEXsNNAOvxlqUuBKTdBkLer/rTyCrJmxeNw4hmRsPiXVxGND8hF7DefdNGAoiqyGVbZ5JI8n1WmIkgBMDAACZSa7fBhQg0A2FsMOyrLTqkl6wtaOxrEu7xRFjkyB2rA5n91iXu40owH94la7qo3mx/5k8rAAkNdYTzGdgGMFWfk8HqacB5JYMiGoRnmBvBFaIRwbhgLDSytrzkhTcAWJqOgUMg0bJDMJnwzjVpDTKkfpaBECq0Bun8EfQ0aFHbsDaCkJl5oQs7SF48RwBx2p82yjcDvs985J+VAfIQoyM6PEQo0jrlyzOMJ7Qpbck6MviRvpwgRv1Zf4gwxCvPVyElf46CKnDcb9OkHoROTDt81+9jXiZNe8y7b6+359sqBRsJoKmf5Wkru+25F6VDi8Q2U5jFDKJNhRDBo5PqGIckoKuOPaRqqwfvj4GkUzJtkFmWq1x8DDW/1RL6RCP/2hlY3jQWfKMdhGoovmtWWKujNPGoMBWYGP6YE9VD06r4bbkpB17IC6UfMQ3gK5WYWokrks7ArmQ5RdWA9IGQ+tHOmbaEQuWxuBsTJyIs/VmHRSDw3DE/4SYGp99A4yEyGRBSIXiMciy3ILR4siIMCBDvSvyOazRD3xcL4av7WVhK+FRhog8krzzjWNPU66t+8w6uEj7a551X3o3luyqvsedyfSMMCNLPc2AGxFBSnWsyUjuZ7/pIxbacgPBBOmJ1ie66vLPID47Anjc7U4MrEVrabAZviQbKg0I46zi0Hp4e/Ml7yjO0ChSMJddz5N2kdQUziomR+zm2ny3WLyxrkC/T5fLly6NBqTAHA1Fd2uC6aAcppy2/1VjbdoxNKkPrwOSNz/AnQjlYiOUb8UylHo542QoE2pJYOBMLt3/1ZJkkCRXC2FghkOrAlleEj/yFBRBu+rjBvWvHxJD3rOWn8gmqQ9BGAkjFhLCbUajZOirm7pt4ClqX8a5ctfuu+5T8dT6zMtIBgcPwipbaAWnPF4OHyi8wTvAdzYTaL9CN9ys2PWcBsBnFK2PGqyR/Go71WwiOYVC3VLUwJhY1nxBSnjB+65p4nIbiX5IX7dO+OzQWy3tgGHZcqMRsimufAKgLLaVzHnOOSWBC5CSRXyYr6WJq+R0y+HjJ4EHtbE4zoy3KUx1pN4R64p+Sh4kRjkdbIzB4wmiHQG0AddUE4WDVm6X8eg5mYEICxv3xuNX304Y8pA6rjjGVhgRa5VHy0Q+Z/0MCK2l2cZy8Fkxg1FBEZq2ENTfboOdhUs2z/gbG6RQ6GNcmkI/Nvil5+WOz5aZ5TnlubDGqQVzNDV4ymqaBBAewAh2P4BkE0xOf+MTedc6lTmCEdPg6SxMEtJXWJJFG2naNVPLxLhNeYeYWo0Oz0hdSBlPoTne6Uy/0CBM8tUwBLhIywAgVAlYdCJlav6Rz1GbCUhkicrWTWUWzIiDkZXBUkJbWGMFd8/Jb/QgN5iahmCBL9YQlEdy8fWMeXOURqAGq4Y9MVXViQga7SblCEAhd5hu8yyQAF6OZEs4IFkWL9V7zPO2JFgagly6wgHrjh/eg/cxckdNTyfPbCBGTBwB8jNSH1rhu8GnymyyA2MQYtoyowgbXprRKAAnIghnsio5NAGmXAQJLoP4T6AH6zVI2m8JfACEzLeAyntQBqFPYzyUzm2cICXgSb5DrtBpmho7jWrSdylv51JiX3CMUq4dEHFA1I2zrQVsIGQBMyhZjyv32CFAmVEIGeg1QFDJgoIbURZ3GSAAfLSrCkRChJQbQ96w01TSqefHmEQ4mwGByQGwa4NByBTzDO23OvjomOhpqNDWCh3lWiRfNu6D5RBtTZ+OOIKHVRVC6znNKMJqA8q5rfn5XoLq9N+XchEAjG6NtBdDVevVISTo9N+tZUlVVz7IetWwqbT7dYubK3jM1zTq/mbPBXupzOlwC/OA9ET7SAFaZViJ+qei0IdoSvIwWEZxDJ4W7GHABbms+beRszJ5aD79bLIXLuRLtoBI8aarw8RzXvYEYjbs1s5k2cCP5GmAtiF3L9ps5RIshcA1YGlg1awhnuBNBZ3+hlmJ+1nVksDVpCQXCl1BDeIhvNLwKYsPvaAoRQNrnfQYU5w0DLxDW3nU0RL9pmxwwET7K8S5N2G0AoXuV9IfsOVSvj/1m4proojXte8xPFkBjFT7k9cwKhyxzVVlUeDMbooUkKG3Vc9vct3NhVa3NmIBQ4CcsTscUHKiTVk0ia5bGZnrhFYQVE4GpxIzikWujYnXSSi3+R7uoZIZeRjQoeXC7e8cGMzPT8gjtiGu/5kEjYpYK4ls1CD2nHbQ+gggRJlzmgibdEwAIB2Ku8kxVHsW5QmhFo5EH/lqiwSTy3lkJ8qFxAnJ9n4zHEtGY8EGbItDsmki7Imy8P++NcJRvyD3xPu1ule4HME/aoSOvKW2rxQ2H0rrG9EX6AtM8gbL9xT382xiE3kNdVma5qZ25MuMNE5jVI3xk4Xed9ZZla1DRnAyI2uGWPZN7ZjVeCqYX88OSCliDwcP8SaSwTl9B+2x2DtuJEKlmr32e4CQ0JwIINiItD4/ByT1uxm69VplhDRL1IJQR7YpA0ZkrtQKLFoEXwgwqwYyYoWMbY6mP+hlklWgXQyS/EEwL3wRfwmO0S1S/NExAAh7VeCeaV7vsRBr9AEYjwM8np0M0qpu7dXPMNxoTjQ6ATcgQXDRRaTgFYEAECtBbrE4I/7xj12hCoSEPXe7VI+E1VfjU52i53mOEb723y9+TMaBdFjqWVx0MQ2mAmwbVroh6uw0IrXPoXBmATAEdblU7dJ6LFy+eDmQzjYG2jMyugGQzdht2b9aKcJEHbCPbR+h8QFGgLYA7M7u6EyrqKm4G7hRA1CeVANwhQs0AzbP2wKkYT9I5XugC+5g8QFeDmQvaAB9yFhhsBjiQk1BST4NU3ZzT6LzzSt5ZK7AJPZoCAUB7agl8YDAxYbIZe5umntNKaJUGIcEoMplZHL4DtqtJCWzGH+9InWlKiRNiemWxdsqgWcbU4002kRD82s3Bgle0uqHPDOmvJhUY2IMe9KBkufOjfjFl6dPBMKCdt3CDDOumShs8vvNHvCTApAGHAJmrhI90VPGqRZgNYTNjz8KZCIUAxTpoDSA0o1aq58yBeF9qGmXFk0RjiPCRJqZa0sN0InxcMzBpLQZzve4eAUBABQfSia1bGiLl16A82oMlBXhjkI4JZZhNBZ0JKxoInGSIbD5Gg2jd50Np4TJ4Y4IgUEIwNQISvkNQVAJMJ1KbZlqB+1ZYei7Cx2/5wumC+diKA/+Av/E0Shci0LRTXSrRVNQ73rN6b5PfJo5D0LkywaIWH4IxU8u40M34Boo/v6eQTlxX9jNdxoSP/AzICB/nVTtxzttiuwYEqId16Mi8NDQMAs8MC+g0eKn8ll7wwhBstS7y4J5mNqkTAWaWq8R8pHH5M7vTSipF+ORaxU1yzdGEEg8L0BMWw5yCOxiAhFxLBjQBQGtkctK0DOgx4eN55iSaYk7QCuFKVfh4llAXNAk7qoGP8mZehWh9FSxWZjWdkq4eI3xc0zbn3lm9XtP7TQAlvsp7oqV6t7S9IWrf0VCaeq1OSPX6rn+fKxC69YbsmhmHyo/pAbQ0+7P9AZfLyGA0y2d2qwPAczogLYM3SjpxL3EP02aYHxmgNJKqWvN4wKGApQSbslBCLphwbfCagFABjlMpi1y1uwonZgyTCxbDBFT/C50QF4DJjGGCMCXhJMygEAEOgA6t2lTexwW1k4ZlYMc8yvP1CAcaI3zAJ/wllPHG6n/BuMHdTABM8QgP78YzTCvaC+Em1CICrr7XlJsycj50JFCCjRFadWHqUPohTWwoXa7ByPCt7Wu5v6vjucKA2viQbZngJW6DAW1aPq3CjOolTyUdjLcFBkTDcWzJrEWjERm9DjF3RPECjWkddbDLB9ALP+J5ApQSYFWQpKyArRl8BiKNIkRbMiBbE48GWK8ZpAFimXtMVMC4fGlrMJcKNNM6mFltvVNuPQLamY01/KDeb38LoORmr5iP9WPwJgJIfJFYLRowoaKPXrx4sRdyNNfLly/3ApxHTFAlbYiW15pxbbn1nBZVzep6b9+/ac7tRxFrmdtiQFfqzjXnI/ydneeOsGpbV8nAFvEKEB7qnATAjR04SmsifAwIQHDFApgiQ8LHoE8MUVtRcSvZgFzZ7SCmtdAwdEIml0E1JHzEt5jlCQtHOxW0mB13vjK42Cu1daalIBgTgQjfiVAjtGO2JQ+mmLYPgbZJkyOHQWJxcm3oSMBx08N0gNwxo5g5NBgeTyYjExB/7VTgOnM4JAQCOA1QJphosARJ+34vLDHdwQ5nJXy0Y99rws6VAFpXjUxHOPajDgYgTYTvqm+qwWAMTEA07wwTALVYTdrN08Kbw7SpwZw8KQZugs1ajI2pBd/IyvOYcck3R5oPDY26ThgwpexaEKGRdHAbZM8geSYepn2vCSxkEraD1fMx6fwO0WZb02pIS5QexgUAVz6NigCpRIvEq8Q/qTeti5mrDFpZSBuHtCltqsIcxiWmacgLx7M7hNGoF81OfacQzSqCckr6KWmYu/ukvQogA4VqLzI3XoJ9Nua85s38YG+HWpA513OEN1TtQoQv7xG3LKEBx2EWMJ0sSjVImG0EhFmd25v2RODVeJIW64FP0ZCAqrQecTo1glh9CC1miLSh4CE5zzHaGlNSGphIS+qT1eRDoLFBOfQtL5pR65GjteEBfjD/IpC49pUtfIFGd3MXOgEfYgrSzuBRdaGtOnoWAC19KxTxXR6VCJQ2ot078x7izpdePJYx0gph95TD9KRZ4fEqomnFg7Yq7ar7BBlTstVWVz237v29gtA6nBcpLsXsYQBkdlu3otdyessDDGACG7WBdW3bDaiKC8A14CYZGLw1QGiCI/v1GPDuwy/iPWnzNQArGbRmbSYSU8zAJcC4jQVD8m6pazZ096yBOCQ43AvwOqQxuE8LpBlR+3X+LAdwL6QNzB99ym+anX6m3FaAMosEDhLOhLrzEGFAuxODo08a5CHClmOApgW7icBol5wkPYCbmcr9jk8hAp4AZLpG2DLDAvRLx92d6OM8V4+es8yGeT6FYFMpa0r6sTRMUJHa+6a9akBero4Cr9D56iypYTqMQZe/ITW0MsBMLs0u/8you8xvVV4GAxc3s0cMiPQwCS/bLGzbB3FFy/IxYOAiAFLagr8IH/yylMDzYnIqAY+Tr05q4PD65BowWrQvk0D0rXKCzxiUvDP4BUw1sThS0fO8AchkyICiPVUSyS4tkybmV71PkxO0iBd2Ooj7vKbx26DVnwC8NApevFb45BkAMuHMrAUaVyII1Ae/1Imp4yuk3gGN3bNirvAadhRTteaR3wQLgYw/tU/BwurCWfes2QvxhhL0oZZnrk8VPtJ6Z60p7fq6NHWsrZvvVem7jrtX6jrKSbeKvf/rgNYryupMgZMOqDv96wamCK/Rv27AnnSq6rn96/CDk047OG1fp/nspC2d+XHSDcrTfDtB0efbDbgTZYSnnWDrr3fC5KTTDPrr3SA/6QbwaT06oXTSubhPOjPkpJtATp9NHt0Mf9LhRqfp6/voBtpV6fOcY+e+7p/rZvSl6fJMJ1xO5NkB6Ced2XXSaUcnnUlw0i3GPekms9E8OlzninsdNnbFeSd4TjqhctqGDli+4n5nflxxnvq0x8ofdes0ttM8K1/87sDok074XJWv/mCMdMtKTjonw0k3aQymacseO+8mj6W8GXuuvd4JztG2tG3T/zalvZpgXaN6kE+EMBXZX0wC92o0r3OzwzLiBeLC3hWZ/Va54WkRVHcznHa0WyisqgvAkkZjVqKpVI8GUyTayqp8Vt23GRhThEYCI0ngIq8UvgOQpQEOm3HN7ghuIpKXeWVjLlhK15lGi6MJiduxNUpLYyB10gFgeYmqy929ak4mraPlELSylsTexFxt73mnrQZAK0jdxHyc2zUAABnbSURBVN3QsIDQ4VH2q05eNNIW0M69eoTxeKc0fGavMphgym+f18aWr3AW2pygUB4zAD7NriUxT9z80tPOaERjaw5rUGSbz9Rz3mZmX/iz7DmOj9qnl6UdurdXAcSTQK3VATqpeYUHZqgyq65V4bUq7a7uU8FjhjAtmBltBx8rC4bBlIjqnyUMhALi/jZg1iXmUzVhnPPm8N60BNSF03ADZwDAWSppX11UW+8N/R5zY3P1MzHHiEnFHIIjVRrrwPjjnRuABl+onYRMXGmbfkaIVrrQubl5pPzxHmYJStIwkWA+zA5tEE2cIL+kaY+8iYSGP0KoJfVRl9S7vq+kVR7g2B9znEeSoGoFMrOY4JeXfMaET/Ld5oiX+syY+btN3kPPrt/7h3IZuWa2s0UFgI80nepOHMluQRs5JNF6xHqECJIxADVp6lHaCB/X5WUm07m5dQGc65LOCH8Rek8gChQzc9IUgMNIZ9W5Q/a6yQB1rXVjD4G9ebYeaQ/ikcbqDdw2wKUbIh4kYPCY9tKGEdAGRB1nYW3ytO+y9hqoqLZt6Nz+STRNgZowl3jj+oe7f7QK78QeSSbN+s6Tph45DcRtAbJp8VWDIkzVF/ZDWw7egyfLtGd9hRbquVYgEzjep/7IE9d6Imvdlv0WUe7ZCMWhtHhJGK4KBRl6dpNrexVAXpRZjDsUOLmtVB3zQmzS8CnP6DS8GCGz4zpxEdJ6JiQveQLmW49T0iw78moBSXVQszkAlnCnAREq1GaaDlc8N/zNnelloLpeqRVATJ0hagFRoLfFt2MDgCAT+WygDFGNJh66PxZo2gp9q8G5rlvzjMeL96/VkFoBxXRiThOE7gGwCT+CnIZBiC6j2g5aTpZv2K1A7BCtVxr8YK4mHkj80xjM4LrJZAxMT33Ud1XAJa16aJIgvJjfdXJKvu2xRrC393Z5vlcTLBUdmxFzf+pxSI2d+uym6WAdtDiDShzMWAcayl9ai0HhLWYdOME21Ma5tJqLgUDLQH4T+pXUoXY+AsYMrbNR/1tiatYBYcnDMrI/T8pv0zERmV8ih1sTKWlpKoQADIsmor2EjYFbiTZDiNCIDTZCQCgC9z3z0DurQtZv76IKIniXP5OicrTVO2ZOWchrkmAqe/f1OX0wmlfqFJOcB29oEad81VEUe80rzzuOXa9p/MYffF5GyjJRDBHNewq1fWvKM5uk2asGtEmFlj3TzmzL0u7qns5mAOiYrUawqgyzINd11GduY51jUzIohDYgA8FATtyJuok3WUat6m3gcC2PtavFGmB5y2hoEClD/nAnGgtTx0ZnMbdagU7IiTESWU3bo1GY8WE0ND3k+Vuea47jpwlO3jQaPKir0VPfobq5F6FuwEkjjobw43hQ1xqoKb065BnnKG1g+rZ0qVsITDjqA8sGdbtpW5sPQSuGa2xpxK4m+ZQ71Jbc2+XxXAmgNo4IIwxy9qpV1UyOYyKDo3Z8nbCer1tXHd3srhMaCAacjgJbgAeJlh0zHzxLAFbzye4CoqItpYDtrCJxPEwfJobBYGZXF+cGGoA+0cbSEiQGHS3Ku2EuGtA0See23RjiB0+dWZ5JYsYmaOEz+bpn1eLUWT1gO7AhfGjvr2pXe5/JShAqt5pbSdcKoKSpC2SlVWceRhpm1owlj/Zo94Hwrr3n3ISDb9IwsyP0klZfi1lP6E+JnM6zQ8c2/6E0u7h2rgRQdh6sDQcCGhQWKHLPVkCwpjuL3zS2rOrWgeqixm3q0852sDEdWKexUbvo4EpMGks9mGRWtBMWiPdFqL+lB1R2g30MD5IelkHYM5UIQoOKUHMeYB1eQ2NhArb7ADFpmE+IZqn8ISJYaTl1uYl0Gejwm7rVbPJoNbZcX3aMFzJHaZW/DjHTBC7aC9t7RgI5aawAb8sjxta11XLwzgTh6xh4WomQBcpbGuG3MiuZkIQ3cFAwg21Cl7rUdFN/01rX8YxOzbdNd64EUFTw2oiKSwBn4zKvac7yN9zDimgeql1t8G39UAVgdVyxJEBG1IL1BhShJTbFxmU3dvFUlcJD2khMm3p/7PcYnjDmRfJuCKd466o2ljIs6xgyVQhXghQJK6BtMdGidTDVhrbrtfxnqJyUF5M4x1xvj7CiKqTqfdqapRi8WDAa7TTZZLFwYpDqM2O/vSOm8pDDRqS8dXTiyoQOZHFvzctOAt41rWtovNS0y34T5mAHUeD7pHMlgIYGRzU5qPzcmGdBZiyD29qpdmCKK6mr0JfVz3IEWz7oXENYhmd1UJ2d9lEJdoG46OugC25kNm49StLnvkDBGgiHn5VawTZkPklPUxpT4c3evgBhy4767jzHY2Sr1VbDc09ZNIOQ2Z1AIoxpQ9ZrJbgyaXiCxCUZrCFg+BTNgKlT452YXa2QasFoZaiD9kubTx+l7KlHuJxna9gKDK2C96wB758mVL2HhA48iXZZrxOMm9A6y0A2yf85+uImT57BMw984AOvKtX2oswGng4CIKDsVQn3eMFsI9wgqrvfYila0HdVFXTcBMRJ6zfXLsFr4NSvgpiNYTeOGRiiapGBw8PD3AKAAo913uxy2Cfq/hlAooKzxqkKH2na+tMmtDVEACijpQwU2kz1RiWdGBqYTWuiwW6o/rS7IfU/22PIh7fJKnSmHzJTtztmwpu0ET7I/cz8EwpBkxjTDghOwYWCOocCO/vCnvuPkG/bR3PRDu/lQhcAmb2N4DLCJuCY7uNt0tGUqjAnpMV70ZyZdnnX+ZKJ4j2PByY3ZjTz1rYs8nGdBqYPwugIaCZ4NN3aBsJeeWNUeT6WZpvr50oAmfWHtgLNauVtGLHps7wlcJdK1Fcz5hBoXtO1v6nfOmVI5zYYzHJmbR616pLWwZWtkxnsOl1Ip4M94JdARAO7NVF0vggfz1UB51znu9ThRYSgWZXWAisyKMQ3wYAA4N5Lqx15Xv0NaIKLqWQxbHAc91u8LgKJBsi8wkMDl8llchHSgCyipUW1AlMbK1UPlhgmfwg2N2QW0RhoTXitvGUDUz5V+BD6yjNZKIc3jkn8sIc9rJ+Y5EszHSK8IUzb9nAw1I30gfICWZmoeBMNCY+960rgCGB6G8QpbSvs6nP1N8FX4+DqvV39Plcm2BA2sCtGyAfouQ6GROMBxrYkInhd4SMPanIVCEyUgI1m7Gw8VsuzVIGaDLQldGhDTDcCgbAgfBBPlMFRtRq4kY5qiQihadDFPW4QEgQEnqUQBhABom06tQFjwFuqUncBrHXzW2dXd0Lq4sWLV9wm4MIngzdf7yBQDTDknTNrlUuDc25gt4OVuQgETvtoftpD4IUfjgT8kAmG97QIPMfnVcLnioZ0J8ohQDO4vRODXZyVaO4IH0K3xch4t4DU6hyiXfHo4Xm0TgG9NL3wJmmVGQ9hrim7FT7upX5Jt+yoL9VtSpal3fTeudKAeBb2RdRYLmkEfzHTrCIdmRYRwUjdN9AyM616vr1vxjH4dDyqtbzlF8pgzXl7JEx0UuZLO9NJyxygURAq2ihimplBNTcL06YC6hIaXMiXL1/uO23yY+ICXT0LTzLoW02mrZdymYs1KlwaGhdcimCQXzCX8DP50FZobzQCW2i0MTMGsPVlQgNC2kH4wn8M2NQ/0ewZ1NIzgWhUeIPwsZI2wuZi6tZ79XcN2nQ9vEwaG/OlX3FI8Ggh19xD2gmkpw1zt4dowoTcWBCiyaCWv46gSRlDx1V9buiZda6dKw1oX+tTvCyu6BAAcMpKYB2WWWT29qcjbSp8UrYZ3GxpRqYhwLh0Lss60mGTtj1aCR3sZKwDGty3dJqQMuyjE1wAbgB3aDXA5JMjIZD1TWb5VvgQnARpq2UQVjCJSjQvYC/hFOHjfjvQCRLlIjgOIURgEfiED+1N/SsBYfEr2kLqD1eBAeEtAS80gRYX4SOPagY7FxRZ66RtU7DGYILyINCrqS50BOZHaNTvpnmH9TnPIp6vMeFDWyJ8TRitGfqcpzf7j8/y3CedKw1o1QDclFFmRyBvXjwhMFXyGwD+VhHchIACUuos7Yr09nlCUMc0MP1uvRg6MK0NmbENRuDuFCIkUI55Bg+mkDbAF1q134zPzPKeeP3Uv354MOB0yiAkaDMGIQBdm2ihAZaTrq0nUyVxNd4d0H+IxgYjvhE8TDvaD7OXMCKkBFUyZWsMUus5pK1Yc0aYtcIq9VCv6vmMaZj7jrQguybiW/peNLWazm8C0ntuyyPsEetAH6A18SZG4PY3N/gnnogjY990rj7LkyC2XTElMzV731ooIKuOwPvUgnrblGn25sGIaWGRrmCxdkCmDCaHyOTMuoDeYEHSwBCWAe86O40MTmLmrWTBJm3PgNdJYTkECS8RHAm+IpCxfa7mQcsLtlSv5ze8SFQyrUQcFIEyBVMBAlcNjFAAPBukNEEubnFENLWqYQWoT/kGK/AWJlO3/vC+w1NpTQJD+1fTVGgc7b5FBIWyDMzWo5iyc1QWbbQuH6JRtCRPQDXBC7cbExyEmf4T83BMUOGLd0oznzohtXVyzrPM7FxFMEPltA6MVc/l/rkywXYpFMKAHLl+xfJYBrDrcgiCCB/lUb2XDXD2fx0o0ldqz+s9vwkX5k68PrlvUIiLibteJ+ZZMZgIIe56CzFXLZpl8iyjeLMMLprC1GUB1UMmf88RBsxPa7SYbADiKnykawU5s0G7YrZJgwj+SmN8NNh9PqjVWghBmFLaV/Pyu5px3l/diqUFzfMsIU2g05DHhI+0JsYIH+fe5RDpVzQrWtA21PJum7yWPTvcimVP7PGegce1OfZnkFD/vSg4ht/+vGyYTc6nHnUYamvS6ww6Zc5zJOGp4Tlvj0wJs6XlBzpae9/1KgwAxTqUspSpQzNDtBtmobxqotF2DE6YC9NAvAtNZoyYawZl62o2G2uHvZx5V5ghZl1CQsflzXLefnerLUfda6BjvU/oeB4PAL6OondXmXeEoQEWs0ldmZ6e55lSP232zsS0eOcElOv6TYjmR6OgYZpMQmbqOoBhT95LS4Qz4SOoU9+oxHSmqXhnLUlb20jbkZ42ySSlEQ6RejAheTNpfCG/tT0Ec6o4GQE0BhPoX4TlNoT/dYypy9Cf97YVdYP5aKjrSCedmbXy78Zu71x71iat/X27wXN6nuurjp3QOukG9Olznep60rmCT8/zvL2JOy/JVddzv1vz0+9X3IXj9/tb53qOXRzLSWdSnXSC5KQb9CcdznDSzdB9Wd1sfdJ5Wfp9mDss6aTr4CddTM9J56k66fb0Oels+pOuk550buh+P2n5dKBtv2dz9+JPOtOp30O4Ezr9sdvt76TrnH2e7ncDsr/ezeb9sZtt+2MnQPpjF0zYH7sB0h87baM/dlpAf+xiePpjB9r2R2XLtzNx+mPnTeuP2u56F//SH7utKfpjB/D2x26dXn/UVuk6LbM/diZVf+xm7f7YYRn9Mflrt/SpR+c1O1F378P1PN+Zb/15N1D7Y6cl9cfO9O2PHa7TH8MHPPJ8Zzr0x6TvBFB/nvvSLPsbS5frnSBZ+vyyvM/6nr6VPjx27DT7k07T21iGHJUG1DF8Epn9/IW61l9xnuvrHuXjr6W2vPZ+yh9L57o0ZrvE6qSsPJNjrjuazWk7fruPgJDOuw7eu5aj9me2zKyd9NKimBMBMXM/5+0xz9FoUMye5NPeV9dKcQlHlc9MmXwC0GZWj+aT9iSv1DPai3Nl55wGhPADpV45hh85Tz36xN2/9jzpcn/VsX0+6dfNJ88d0zF9Yp91OpcCaJ8MmfOeOTBz4HAcmAXQ4Xg9lzRzYOZAy4FOVTx31KnhJ50Kflrv9vz0xpo/OpXzpFPpr3pq7HoSqos/6fy1xE52X97udx6dk5/ssIycO2pDjtKnTNdz3oGffZqk64DpPt8cO4D5pHN3n3RmT5+O3d6ZQied+7qvkvuoi0zujx3o3R+lR11QYn/sVvP3R8+jDsztj7nfucr78xxhaSjpfFsMdavX+3Z0rvi+DXm+c43392s6F3KefJM+512QXv+cNqK0J+1IfbtI4v5+F0B4Rbp6vwPpT7qI85MO9D/pVpafdMB63355y7dzBPR86zx+fb3wWL6dk+Gk88adwCt9Hw1/le95fNC2Lv7pRHrX8RZGogzPdY6Hk84B0P+++eab+zTSdY6M/s99fzl3z5/n/amDdnRhEP177JZb9L87r+dJF55xer3bVaDPpwte7L811i3L6Z/LsYtJO+m8nydduMFJB+qfdN7GPl23trFPl77UM3DJvy7Oq2/PkiRLbx1VHFArHK/Vc2uDYDvWWl3r1AnSPhZIEGaL71yLbRfK0QmIPqDxWmxf2ybufvsGiSzfhGYTbBOuzc/MHJg5sBMOzAJoJ2ycM5k5MHNgEw7MJtgmXNvyGQs4uc3Hgvm2zP6oHu8AgD7S2nKSuMqPqoI7rozoZ4GKdWuNHRdxVNnZ6UCQ51hQ5KrKzgJoFYfm+zMHZg7sjQOzCbY31s4ZzxyYObCKA7MAWsWh+f7MgZkDe+PAudoPaG9c2HHGto2wkC9ffYD52Baii+fpt9mw14olCrZ1sLKcDW1vGssUutiXRRcf0i+ytKVE+2WKHVd1J9llhb29fbq4pf7LFhbn2qLBNquWQ2iXvaVD9q+BG1j0aVGuj+rhwbETjMcCU5/hQd6jxavaYO/rhFb4ugd8BA98dcSSlvP2br0vO0faj8m2KNoy1oYuNq3fLtYC5yzf6WLd+i1ULNK1/W+WC9V3PGtAlRs7+O3TNlZxZyc+WeqwXqCXYxdCK9WtGLcHTz4ZYxtOz9iXuFus2m+baguKYyYCNftO64DIoLMK/573vGcfG5J9jFy3zYe9gvzp1HhAwNpjxwC2yv2YydaxVvYTQiF7HWmDFe3aYGuTLnCw39fIuzW5+IbZeXu32qqfaoNdDXz9ZKwNdlCwf5IdKTgdkFgoOy7YscDOAMbFEM0CaIgrW1wzq9dvtHcR0P32Gr5aYYsFR1tqXLx48XSPZBoCTUgH5j0xg9i7xoLODOwtqrS3R23L4dM82XBdQV3Ucv91Th4vWo1OiGiBvEO2N81CVRur2XbEAldfEW03AOsfPKJ/BG4mjFRLe2l+FqWaULSXJmtLFe+TMDbzn7d3S2jks0T6p21mxtpAUNFw9O2Qd2tTM+9WHxl7t7MACsd2dLSxWXU3e3n2VrGDoJdi7yAvkwbg5dAMbO1pM3JCKOqr6lghbpAfK1HJmZOVDEa7SxI4NBwmCgpPqOM+ZWQw1/Zq9zG3VRsIydbdrL1md+31MQHv1kp/f759ZuARxLWt8jr2d6t+/tSbBs88HmuDnSxbqKCmXdbWGQPSG/ZMNogyKKmqOnG2rqDmMlGYK16SmdLADNGe2g6fe8d67PYj6s1NZocNxLr1S31Vq+bgGpxMm7WXkLZla7boONa2DdWr2x+p3/jM13CZKswz79rGZkxO5tjjH//4/hNB5+3d2ujN/tlwPO+VCTa1DXm3eKYfj23iP2tAQ71qx9eYHcBJYKTBR1WFd5g5733ve58KpJhn7GhmimP2z9lxlfaWHdBSR7U+iFliO1XAtL2mCRlElYeNMDOB9QhmIO15I9jdhe4DkRwGBqxtba15MwAR4VpN7/Pybmly8C6TJw0HrdM/23frfQ/RrAENcWXH15hgZhIml2/XM7980BC+k0+1wEJ8hZK97KugTJfY4Duuzl6zo4rz7jErzZa+t8X80j48MBtaiKtDEsoAewLaQM036vdawR1nrh1MFKYlwQP30G5aDzzIROIDie6fp3cLdGZG5VNAovZ5Lqe2gfZrkvUhRRhRvIYt++dI6JYjezonbGgEhNAqktagDW6yKv0x3qftmPkr0YQIoHZV/FDa+tx5+D3UhqFr18K7XacNQzyo73MWQJUb8++ZAzMHDsqBGQM6KLvnwmYOzByoHJgFUOXG/HvmwMyBg3JgFkAHZfdc2MyBmQOVA7MAqtyYf0/mAE+PmCYBeCGftrbdLFezj/FxxXKt+5ifa0js0x3veMfeEyi2RFAi8iHBS5cu9QFv1lQde1BiX+n539YcmAXQ1iy8PjPgyRJs122K3jOAZ+RRj3pU/wXYxz72sb371ro23xfnkvaddCSuRFStJQqEz33ve9/+C6Xc1Vy+3ccYF/aPPm8BmH3j5n9rc2AWQGuzbH4gHLD+RxwPsoK/+wJsr/U85jGP6Rfe2qjctbvf/e79IlvpfAa6+9pr74oXwCdgr/sCg1t9JPjly5fPZTxQ34D539ocmAMR12bZ/EA4IHCw+/RyH9lsWw3Rz8hi2+5zLYtHPOIRSXr6rXvCpvu8dB+kZumCr2aID0JMtpmuLw7MAuj6et87bS3thRCyH5A1bQ9+8IP7/LvvsfemGOGErAwnaJ797Gcvum/JL5hod7nLXXotyCLU4ENTgjT7DOd/1wwHZhPsmnmVZ9MQZtjDH/7wfjMuSyyQJSSPfvSjF93H+XrhAveB9xBE6M53vnNvbsGGrBsTHT3T9cmBWQBdn+99Z622fs3i0phfMgYyWxMG47FHDu3n/ve/f79Q02Zr1ktZE2dzNnsJje0Vs7NKzhkdLQfmpRhH+2rOR8V4rwgZ22vc9ra3vaLScaW3Hi3XrYurex9d8eB8ct1wYMaArptXvfuGcpvDc2xF0QofpbWCJzUYu5778/H64cAsgK6fd73zlt7udrfr966+4YYbdp73nOH1wYHZBLs+3vPcypkDR8mBGYQ+ytcyV2rmwPXBgVkAXR/veW7lzIGj5MAsgI7ytcyVmjlwfXBgFkDXx3ueWzlz4Cg5MAugo3wtc6VmDlwfHJgF0PXxnudWzhw4Sg78Py81Ay6DHsshAAAAAElFTkSuQmCC" title="plot of chunk rug" alt="plot of chunk rug" style="display: block; margin: auto;" /><iframe height="600" id="igraph" scrolling="no" seamless="seamless"
src="https://plot.ly/~xysmas/179" width="600"></iframe></p>
<p>No.</p>
<h2>geom_segment</h2>
<p>example from ggplot docs</p>
<pre><code class="r">library(grid) # needed for arrow function
p <- ggplot(seals, aes(x = long, y = lat))
p <- p + geom_segment(aes(xend = long + delta_long, yend = lat + delta_lat),
arrow = arrow(length = unit(0.1, "cm")))
p
py$ggplotly(p)
</code></pre>
<p><img 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" title="plot of chunk seg" alt="plot of chunk seg" style="display: block; margin: auto;" /><iframe height="600" id="igraph" scrolling="no" seamless="seamless"
src="https://plot.ly/~xysmas/180" width="600"></iframe></p>
<h2>geom_smooth</h2>
<pre><code class="r">p <- ggplot(mtcars, aes(wt, mpg, color = factor(cyl)))
p <- p + geom_point()
p <- p + geom_smooth()
p
</code></pre>
<pre><code>## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.
</code></pre>
<pre><code class="r">py$ggplotly(p)
</code></pre>
<pre><code>## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.
## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.
## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.
## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.
## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.
</code></pre>
<pre><code>## Error: conversion not implemented for geom_smooth (basic geom_smooth)
</code></pre>
<p><img 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" title="plot of chunk unnamed-chunk-10" alt="plot of chunk unnamed-chunk-10" style="display: block; margin: auto;" /><iframe height="600" id="igraph" scrolling="no" seamless="seamless"
src="https://plot.ly/~xysmas/180" width="600"></iframe></p>
<p>No smoothing.</p>
<h2>geom_step</h2>
<p>Example straight from ggplot docs</p>
<pre><code class="r"># Also works with other aesthetics
df <- data.frame(x = sort(rnorm(50)), trt = sample(c("a", "b"), 50, rep = TRUE))
p <- qplot(seq_along(x), x, data = df, geom = "step", colour = trt)
p
py$ggplotly(p)
</code></pre>
<pre><code>## Error: conversion not implemented for geom_step (basic geom_step)
</code></pre>
<p><img 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" title="plot of chunk step" alt="plot of chunk step" style="display: block; margin: auto;" /><iframe height="600" id="igraph" scrolling="no" seamless="seamless"
src="https://plot.ly/~xysmas/180" width="600"></iframe></p>
<p>No.</p>
<h2>geom_text</h2>
<pre><code class="r">p <- ggplot(iris, aes(Petal.Width, Sepal.Length, label = Species, colour = Species))
p <- p + geom_point()
p <- p + geom_text(angle = 45)
p <- p + geom_text(data = NULL, x = 0.5, y = 7.2, label = "plotly is cool")
p
py$ggplotly(p)
</code></pre>
<pre><code>## Error: conversion not implemented for geom_text (basic geom_text)
</code></pre>
<p><img 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" title="plot of chunk text" alt="plot of chunk text" style="display: block; margin: auto;" /><iframe height="600" id="igraph" scrolling="no" seamless="seamless"
src="https://plot.ly/~xysmas/180" width="600"></iframe></p>
<p>No.</p>
<h2>geom_tile</h2>
<pre><code class="r"># Generate data
pp <- function(n, r = 4) {
x <- seq(-r * pi, r * pi, len = n)
df <- expand.grid(x = x, y = x)
df$r <- sqrt(df$x^2 + df$y^2)
df$z <- cos(df$r^2) * exp(-df$r/6)
df
}
p <- ggplot(pp(20), aes(x = x, y = y))
p <- p + geom_tile(aes(fill = z))
p
py$ggplotly(p)
</code></pre>
<pre><code>## Error: conversion not implemented for geom_tile (basic geom_tile)
</code></pre>
<p><img 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" title="plot of chunk tile" alt="plot of chunk tile" style="display: block; margin: auto;" /><iframe height="600" id="igraph" scrolling="no" seamless="seamless"
src="https://plot.ly/~xysmas/180" width="600"></iframe></p>
<p>No.</p>
<h2>geom_violin</h2>
<pre><code class="r">p <- ggplot(mtcars, aes(factor(cyl), wt, fill = factor(cyl)))
p <- p + geom_violin()
p
py$ggplotly(p)
</code></pre>
<pre><code>## Error: conversion not implemented for geom_violin (basic geom_violin)
</code></pre>
<p><img 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" title="plot of chunk vio" alt="plot of chunk vio" style="display: block; margin: auto;" /><iframe height="600" id="igraph" scrolling="no" seamless="seamless"
src="https://plot.ly/~xysmas/180" width="600"></iframe></p>
<p>No.</p>
<h2>facets</h2>
<pre><code class="r">p <- ggplot(iris, aes(Sepal.Length, Petal.Width, colour = Species, fill = Species))
p <- p + geom_point()
p + facet_wrap(~Species)
py$ggplotly(p + facet_wrap(~Species))
py$ggplotly(p + facet_grid(~Species))
</code></pre>
<p><img src="data:image/png;base64,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" title="plot of chunk facets" alt="plot of chunk facets" style="display: block; margin: auto;" /><iframe height="600" id="igraph" scrolling="no" seamless="seamless"
src="https://plot.ly/~xysmas/182" width="600"></iframe></p>
<p>no - it doesn't pick up the facet. Perhaps subplot would work? </p>
<iframe height="600" id="igraph" scrolling="no" seamless="seamless"
src="https://plot.ly/~xysmas/182" width="600"></iframe>
<p>example taken straight from ggsubplot's manual.</p>
<pre><code class="r">library(ggsubplot)
</code></pre>
<pre><code>##
## Attaching package: 'ggsubplot'
##
## The following object is masked from 'package:ggplot2':
##
## rel
</code></pre>
<pre><code class="r">library(maps)
data(casualties)
data(mapping)
</code></pre>
<pre><code>## Warning: data set 'mapping' not found
</code></pre>
<pre><code class="r">
p <- ggplot(casualties)
p <- p + map_afghanistan
p <- p + geom_subplot2d(aes(lon, lat, subplot = geom_bar(aes(victim, ..count..,
fill = victim))), bins = c(15, 12), ref = NULL, width = rel(0.8))
p <- p + coord_map()
p
</code></pre>
<pre><code>## Using binwidth 0.905
## Using binwidth 0.754
</code></pre>
<pre><code class="r">
py$ggplotly(p)
</code></pre>
<pre><code>## Error: Discrete value supplied to continuous scale
</code></pre>
<p><img 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" title="plot of chunk subplot" alt="plot of chunk subplot" style="display: block; margin: auto;" /><iframe height="600" id="igraph" scrolling="no" seamless="seamless"
src="https://plot.ly/~xysmas/182" width="600"></iframe></p>
<p>no.</p>
<h1>master list of geoms:</h1>
<p><a href="http://docs.ggplot2.org/current/">ggplot2 docs</a></p>
<h3>geoms</h3>
<ul>
<li>geom_abline() = FALSE</li>
<li>geom_area() = FALSE</li>
<li>geom_bar() = FALSE</li>
<li>geom_bin2d() = FALSE</li>
<li>geom_blank() = </li>
<li>geom_boxplot() = FALSE</li>
<li>geom_contour() = FALSE</li>
<li>geom_crossbar() = FALSE</li>
<li>geom_density() = FALSE</li>
<li>geom_density2d() = FALSE</li>
<li>geom_dotplot() = FALSE</li>
<li>geom_errorbar() = FALSE</li>
<li>geom_errorbarh() = FALSE</li>
<li>geom_freqpoly() = FALSE</li>
<li>geom_hex() = Untested</li>
<li>geom_histogram() = FALSE</li>
<li>geom_hline() = FALSE</li>
<li>geom_jitter() = FALSE</li>
<li>geom_line() = TRUE</li>
<li>geom_linerange() = FALSE</li>
<li>geom_map() = FALSE</li>
<li>geom_path() = TRUE</li>
<li>geom_point() = TRUE</li>
<li>geom_pointrange() = FALSE</li>
<li>geom_polygon() =TRUE </li>
<li>geom_quantile() = FALSE</li>
<li>geom_raster() = FALSE</li>
<li>geom_rect() = FALSE</li>
<li>geom_ribbon() = FALSE</li>
<li>geom_rug() = FALSE</li>
<li>geom_segment() = TRUE</li>
<li>geom_smooth() = FALSE</li>
<li>geom_step() = FALSE</li>
<li>geom_text() = FALSE</li>
<li>geom_tile() = FALSE</li>
<li>geom_violin() = FALSE</li>
<li>geom_vline() = FALSE</li>
</ul>
<h3>stats</h3>
<ul>
<li>stat_abline() = FALSE</li>
<li>stat_bin()</li>
<li>stat_bin2d()</li>
<li>stat_bindot()</li>
<li>stat_bindot()</li>
<li>stat_binhex()</li>
<li>stat_contour()</li>
<li>stat_density()</li>
<li>stat_density2d()</li>
<li>stat_ecdf()</li>
<li>stat_function()</li>
<li>stat_hline()</li>
<li>stat_identity()</li>
<li>stat_qq()</li>
<li>stat_quantile() = false</li>
<li>stat_smooth()</li>
<li>stat_spoke()</li>
<li>stat_sum()</li>
<li>stat_summary()</li>
<li>stat_summary_hex()</li>
<li>stat_summary2d()</li>
<li>stat_unique()</li>
<li>stat_vline()</li>
<li>stat_ydensity()</li>
</ul>
<h3>other ggplot stuff</h3>
<ul>
<li>expand_limits</li>
<li>guide_legend</li>
<li>guide_colourbar(guide_colorbar)</li>
<li>scale_alpha(scale_alpha_continuous, scale_alpha_discrete)</li>
<li>scale_area()</li>
<li>scale_color_brewer</li>
<li>scale_color_continuous</li>
<li>scale_color_discrete</li>
<li>scale_color_gradient</li>
<li>scale_color_gradient2</li>
<li><p>scale_color_gradientn</p></li>
<li><p>coord_cartesian</p></li>
<li><p>coord_equal</p></li>
<li><p>coord_fixed</p></li>
<li><p>coord_flip</p></li>
<li><p>coord_map = FALSE</p></li>
<li><p>coord_polar</p></li>
<li><p>coord_trans</p></li>
<li></li>
<li><p>facet_grid</p></li>
<li><p>facet_null</p></li>
<li><p>facet_wrap</p></li>