@@ -1,6 +1,6 @@

 ---

 title: "_eiR_: Accelerated Similarity Searching of Small Molecules"

-author: "Authors: Kevin Horan, Yiqun Cao, Tyler Backman & Thomas Girke (thomas.girke@ucr.edu)"

+author: "Authors: Kevin Horan, Yiqun Cao, Tyler Backman & [Thomas Girke](thomas.girke@ucr.edu)"

 date: "Last update: `r format(Sys.time(), '%d %B, %Y')`" 

 package: "`r pkg_ver('eiR')`"

 output:

@@ -8,7 +8,7 @@

 <meta http-equiv="Content-Type" content="text/html; charset=utf-8" />

 <meta name="generator" content="pandoc" />

-<meta name="author" content="Authors: Kevin Horan, Yiqun Cao, Tyler Backman &amp; Thomas Girke (thomas.girke@ucr.edu)" />

+<meta name="author" content="Authors: Kevin Horan, Yiqun Cao, Tyler Backman &amp; Thomas Girke" />

 <title>eiR: Accelerated Similarity Searching of Small Molecules</title>

@@ -49,8 +49,8 @@ document.addEventListener("DOMContentLoaded", function() {

 <div id="header">

 <h1 class="title"><em>eiR</em>: Accelerated Similarity Searching of Small Molecules</h1>

-<h4 class="author"><em>Authors: Kevin Horan, Yiqun Cao, Tyler Backman &amp; Thomas Girke (<a href="mailto:thomas.girke@ucr.edu">thomas.girke@ucr.edu</a>)</em></h4>

-<h4 class="date"><em>Last update: 03 January, 2016</em></h4>

+<h4 class="author"><em>Authors: Kevin Horan, Yiqun Cao, Tyler Backman &amp; <a href="thomas.girke@ucr.edu">Thomas Girke</a></em></h4>

+<h4 class="date"><em>Last update: 04 January, 2016</em></h4>

 </div>

 <h4 class="package">Package version: <span style="font-weight: normal">eiR 1.10.0</span></h4>

@@ -156,17 +156,15 @@ runId &lt;- eiMakeDb(r,d) </code></pre>

 <pre class="r"><code>#find compounds similar to each query

 result=eiQuery(runId,sdfsample[45],K=10,asSimilarity=TRUE)

 print(result)</code></pre>

-<pre><code>##     query target similarity target_ids

-## 1  650046 650046  1.0000000        245

-## 2  650046 650054  0.5133418        251

-## 3  650046 650011  0.4651163        211

-## 4  650046 650069  0.3897316        264

-## 5  650046 650048  0.3825758        247

-## 6  650046 650072  0.3051251        267

-## 7  650046 650080  0.2791878        275

-## 8  650046 650076  0.2740260        271

-## 9  650046 650039  0.2739234        238

-## 10 650046 650032  0.2455752        231</code></pre>

+<pre><code>##    query target similarity target_ids

+## 1 650046 650046  1.0000000        245

+## 2 650046 650048  0.3825758        247

+## 3 650046 650008  0.3256659        208

+## 4 650046 650097  0.3115764        291

+## 5 650046 650056  0.2800481        252

+## 6 650046 650013  0.2212276        213

+## 7 650046 650050  0.2015504        249

+## 8 650046 650049  0.1992386        248</code></pre>

 <pre class="r"><code>#Compare to traditional similarity search: 

 data(apset)

 print(cmp.search(apset,apset[45],type=3,cutoff=4,quiet=TRUE))</code></pre>

@@ -178,7 +176,7 @@ print(cmp.search(apset,apset[45],type=3,cutoff=4,quiet=TRUE))</code></pre>

 <pre class="r"><code>cid(sdfsample)=sdfid(sdfsample)

 plot(sdfsample[result$target[1:4]],regenCoords=TRUE,print=FALSE)</code></pre>

 <div class="figure">

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wcHB69bt+7x48dJSUnTp09v3bq1mkJMTU379ev366+/3r9//9SpU66uruWXuXfvng6rDQh4gwkJoZAQ7VdfupRkMpo1S3cV0gUNg1kspt9/p2vXaPly1QvU2iMYgDqoadOm5ubm3Gt7e/svvvhi7969z58/j4qKGj16tKOjY5VKE4lEnTt3bt68OffnrFmzvvzyS91WGDi4B68nyckqJkZGal8gd6F73DgaOVL7e/k65+dH77xD06aRRPKqDV1FKm2IUOmtegDQG76fzevXrzdUv29X0Xvvvaeyw2+oPpzBG5JIJKpXr16/fv1WrVqlxbWpSi90G4TmlxbUN0TQ5FY9AOgZHm97gyDg9W38+PH16tUTiUTcEXFxcfGhQ4dCQ0NbtGjRoUOHuXPnJicnK/auk5KS8tNPP6ksSv2F7rCwsPj4+OoMlKcdzYO50oYItfMIBgDgjYCA17eIiIjCwsIzZ858++23nTt3Vhxg5tKlS4sWLerWrVuTJk1CQkIGDRrUpk2bNm3aTJ8+vaJxaPgL3ampyrNWrlwZEBBgbW0dEBDwyy+/PHz4sOY2SonmwazYEKF8I3yxmL79li5fpnHjaqqqAABChYA3AJFI5OXl9c0335w6dSotLS0iIkIikdSvX59f4OnTp9HR0Xv37lU50owSlRe6+QOCgoKC+Pj4SZMmOTs7t2vXbsGCBWfOnKnp3o0qurSQnPyqqx9FkZHE2Kun27lG+Iq4R+H/+EPFEQwA6J9in55QyyHgDaxp06bjxo2TSqVck9QxY8Y0adJEcQFLS8sPP/xw48aNFZWg8kL36dOn58+f7+3trXjqf/XqVe6yQYsWLcaPHy+VSouKinS9Qa+oubSgBtcI//lz5elWVtr3GQAA1SSTyUpLS7nXHh4eo0aNioyMzM/P10nhUVFRWvR6Cxox6FA3oIJcLk9OTg4ICOjSpcvu3bsLCwuVFuAGplMSEqJ6TLa7d+9yVwhMTU3L/+tzne9GREQ8fvy4+jVXqlhuLnNxYd7emg4Wx60+YgQzNmaffvpqIjfW3Lx5jAiDzgHoVV5e3p49e0aOHGlnZ1f+14N/Dj49Pb1Kxcrl8oqegx87dmwNbUvdhICvK16+fBkdHT1u3LhGjRqV36+MjIy8vb3nz59/5coVrd+i/JFHZKRyMHt7e+fl5alZPT2dGRuzNm1eTeQHk63oCAYAdCs9PX3t2rVBQUGK9w3V4Huyu3Hjhppii4qKyvdkp2ThwoV628y6AIPN1DkymezEiRMxMTHR0dHXlPqVJSIiNzc3bqw8f3//KvULrTigDm/gQIqKet2HvEgkatmyZceOHbOysrKzs3Nzc/k6VH9EXQDQ2o0bN6KioqKiopQe5KmSZs2aBQYGSiSSwMBA7qqhyr7oeXxf9Kamps+fP//iiy/QF70OIeDrtDt37kil0piYmMTExPIP1NnZ2fXp00cikYSEhFhbW1f/7VQ+C8B/AzGiLoCeFRcXHzhwICYmJi4urvwwcWKxuFu3boMHDw4KCkpNTa3SaHINGzZs2bJlcXHxhQsXyh8uODs7Dxo0aPDgwT4+PsbG6G+txhj4CgLUDs+fP9+5c+dnn32mMsiNjIz8/PyWLFmi/hKcGpp8AxWv8F+4wIyMWHj460v0AHVQWlrar7/+2qpVK7FY3KJFi1WrVqWmppZfrGtXZmLCrl4tM1HNvpOfnx8dHf3uu++q3CWNjIzefffdZcuW3b59u/y6Z8+enT9/fqdOnbSIG3d39ylTpiQmJpaWlurmAwK1cAYPZZSWliYnJ//111+RkZEqD9Xbtm3LDQfp6+srFlf+FMb333//zTffcK8bNWo0dOjQVq1aOTo62tjYWFlZNWjQoG3bttxcpSv8M2bQmjV08CB1767NGbxcLn/y5ElCQoK3tzf/FgBvhEuXLnFXy1U+1NqpU6eQkJDg4GA+ZX186ORJ8vcvM4R0+dtbz58/5+7NHTx4MC8vT6lYCwuL/v37BwcHDxgwQJPOaFNTU6Ojo6Oiov7++281HWqJRKIuXbqEhISEhIQojjIH+mDoIwyovS5fvrxkyRI/Pz+Vl9bt7e0/++yznTt35uTkqFy9uLh4xIgR/PIBAQG5ublq3k7DRvihoaHZ2dn8n48fPz516tTevXt/+eWXadOmDRs2zM/Pz9XVlb+TJxKJpk6dmp+fX81PA6BGlZaWHjlyZPLkyW5ubhr+ejdr1oxbt2tX5uHBiNimTa8LLH8Gr6aX2QYNGiQlJWlX8xcvXmzbtu3jjz9u0KCBYpk2Nja///77w4cPtf5MoJoQ8FC5p0+fbt68efDgwZaWluV/GszMzPr27btixYq0tDR+lby8vKCgIH6Zjz/+uPzzfko0aYTPlWZhYdGuXTs3N7d69epp/lP4119/6fhzAai29PR07kFWfrg2RVZWVoMHD968efPNmze5m2iKIcoXwj9iam/Pnj9/NbF8wPMrikQi7qbbH3/8wZ+sm5ub79u3rzrbUlhYGBcXx+/4vXv3rk5pUH0IeKiC/Px8ruf8pk2bqszRtm3bzpw5MyYmpmvXrvzECRMmaHLLrdLn+729vTWMc461tbWZmZnilF69el28eLEGPhiAqikoKPjyyy/9/PyUvqL8V3fo0KF//PFHVlaW0oo5OTk7d+789NNPbW1t+Yn8I6a2tmzMmFcTVZ7Bd+/e/ccff0xJSeEnXr582cnJiXtfY2PjjRs3VnPTEhISEPC1BO7BgzZKS0uPHTsmlUqlUumtW7fULDl9+vTw8PCK+tKvErlcvmHDhi+//LK4uJifaGVl5eLi4urq6uTkxL1wdnZ2dnZ2dXW1sLBgjO3atWvatGl8ewKRSPTpp5/++OOPjRs3Lv8WT58+ffjwYVpaWmpqKv8iLS3tyZMnX3755dKlS6u/FQBE1KdPn8OHDytNdHFxCQ4ODgkJ8ff3V9kzlaLS0lK+/Xk1HzG9e/duv379uB1ZJBItW7Zs0qRJWm4Y0eHDh/v06UNEvXv35sMeDAIBD9V17dq16OhoqVSanJys1E/1zz//PGXKFN2+3ePHj//v//7PxcWlQ4cOLi4uSrf9VMrLy1u6dGl4eHhhYSE3xcLCYsyYMW5ubk+fPn3w4MGDBw/S0tIePHjAL6DSr7/+Om7cOAyXCdX31ltvXb9+nXvt6enJNZrz8vLS7lC4+o+YPnnypH///hcuXOD+nDlz5pIlS7SoCSHgaxUDX0EAAUlISFCM22HDhhm6RmVcuXIlICCgmvtLx44dExMTDb0pAGXo5BHTzMxMPz8//qv+5ZdfymQyLSqDS/S1BwabAd2IjY0NDg7meqqytrY+cuTI9u3bDV2pMtq2bXvw4MG9e/dq3kq5vPPnz/v7+w8dOlTD7j4A9Ey7cZ6IyMbG5uDBg/379+f+XLNmzYgRI9Q8/wa1HwIedGDDhg0hISHck7VOTk5JSUkV9aFhcAMHDrxy5Ur37t01XN7ExMTFxaVbt249e/bkr0/s2LGjZcuWYWFh5bveBFDDx4dMTUmph+i0NBKJKCZGZ++icghpTZibm0dFRQ0ZMoT7c9u2bYMGDSooKNBZzUC/0EcgVFd4ePjs2bMZY0TUunXruLi4Fi1aGLpS6ly5cuXEiROKU8zNzV1cXJo0aeLi4uLk5NS0aVNXV9emTZs6Ozs3atSI788nIyPju+++W7NmjUwmKykpWbly5V9//bVgwYIxY8Zo0ucPABGVlNDEiWV6pNE5bgjpgQO1WdfU1HTbtm02NjYRERFEFBMT079//+joaJ10Vg16hkZ28Fppaekvv/zy8OFDLy8vTR4xZ4xt3LgxLi6O+9PLyys2NlblaHW1h0wm69q165kzZ4ioT58+K1ascHJysrW11byEY8eOhYWFKY5g3aNHj5kzZ7Zq1ap169a6rzEIiI8PZWfT9eu0aRN9/vmridUfUUmTcZ6qKjw8fNasWdxrLy+v/fv3Ozo6alm/Wmb58uVr1qzp2LHje++917Jly1atWlX03O+bDgEPr+Tn5w8ZMiRG2wuFVlZWZ8+ebdmypW5rpXOrV6/++uuvicjS0vLq1asuLi5aFCKXy9etWzdlyhTF/j6NjIwOHz7cs2dPndUVaofi4uLc3FxNem+tFJfEJSUUG0vXrxNXZK0dMnHVqlWTJk3ihopxc3M7dOhQddqv1BI//fTT9OnTlSZaWFi0/FerVq24F3z3AG8ww7bxg1oiIyPD19e3mt+lNm3a3Lt3z9Cbok5aWhp/H33p0qXVKSolJaX8RY61a9fqqqpQS5w9e9be3p4bV23x4sVXrlypTmka9khTe2zZsoV/2r5JkyZvdD9RBQUFip1nV8rc3LxDhw4ffvjhzJkzZ8yYsW3bNkNvQZXhDB7o1q1bgYGBd+7cISKR6PVXwt3d3cvLq6K1bty4cfHiRe41v1ajRo1iY2PVrFXG4cMUHk6nTlF+PrVoQQMH0vTpZGdXzc1R46OPPtq9ezcReXh4XLp0SetxKhlj/v7+x44dIyIHB4dnz54RUdOmTa9fv25lZaXDCoNBMMZOnz4dFRW1Z8+ea0ot4ojc3d2Dg4ODgoJ69OhR1a9QNXukqUhhYWFCQkJ0dPRff/2VmZlJRK1bt75x44aWxZUVHR09ZMgQrosIOzu7ffv2+fj4VLi03ndqDT1+/HjQoEHJycncnx4eHoMHD378+PGtW7du3bqVlpamSSGrV6/+8ssva7KaumbQwwswvHPnzvF9uil2srFkyZJK1924cSP/A8eva2lpGRcXV8macjmbNYuJRKxzZzZ7Nvv5ZzZ8ODM1Zc7OTNsRadXLyclRbNhvbGwcFhaWmZmpXWkbN27ky+Gb11WzH28wOK4r9QkTJmh4bdbW1nb48OF//vln+Q5lK8I/sC6TsW7dWPv2rLhY+zP458+fb968+cMPPyw/SESbNm2qXFzFjhw5wl/6srCwOHjwoIqF9L5Ta+7o0aP29vb8hxMaGlpSUqK4QH5+/sWLF3fv3h0eHj527NhevXq5uLiU73SotvXtUSkEfJ2WmJhoY2PDfXf5oBKLxatXr9awhMjIyPr16ytlvKmp6R9//KFutT17GBGbN48p9lF/5gxr2pT5+zO5vBrbpNqWLVvK/0A7ODhERERUdWjqZ8+e8bdj+V+NDz74QOd1Bv2oaDA0zYnFYm9v7/nz558+fZovtrS0NDExcerUqe7u7vxEDXuk6dGjx9KlSxV7jFd0+/bt5cuXv/vuuyo7VbSysnr77bcvXbqk20/p9OnTDg4O3FvUq1dPxdBNet+pNbRhwwb+bpqJiUlERISGK3Kpv2fPHn74nC+//LJGq6pzCPi6a+fOnfz3ns9mMzOzPXv2VKmco0eP8o/Q8OWIRKKff/5Z9QoyGWvWjPn6qtjnt29nRCwyUqsNUiclJaWi53w6der0999/a17U6NGjuRXt/r3waG1t/ejRI53XGWrUlStX5s+f7+3trfIRR2dn59DQ0ISEhFWrVvXt25cffbhS7dq1Gz58+IABAxRHh+PfVGlEpenTmbk5S0qqcNi3Zs2ajRs3Ljo6Oi8vjxvnSeUzqPzocJcvX665T+zatWt8o1QjI6MyLU4MsVNXqqSkZNy4cfyn5OjoeOzYMS3K+fPPP7kSPvroI51XskYh4OsoqVSqOGI696JBgwaHDx/WorTLly87OzuX/93x8PDo+6/XS9++zYjY9u0qCpLJmL09mzRJ281S5/nz56GhoRX1JC+RSG7dulVpIUeOHOE/Lv7waMWKFTVRYdA5qVTaoUOH0NDQikYmbNmy5dSpUxMTE5Wu62RmZm7fvl3rs3y+HKWAz81lLi7M27tMwKv8iqqcKBaLfX19w8PDr1+/ro+Pj7HU1NQ2bdpw7y4SiX788cdXMwy0U6uRmZnZu3dv/rNq37797du3tSsqMTGRK8TX11e3laxpCPg6aujQoUo/Fg0bNjxx4oTWBd64cUN9/zavF5VKGRE7f151Qd27s8BAratRqTNnzlTUjZ2JiUloaGh2djZjLCMj4+LFi1Kp9Lfffps7dwxIy0YAACAASURBVO6IESN69erVqlWr8md7np6eSvfzoNZq27Zt+X93kUj0zjvvLFq0SJPT36Kiori4uIkTJ6o8olXi5OQ0ceLEuLi4oqIibvXyYyJHRjKiMgH/7NmzjRs3Dhw4UOUI8URUv379oKCgtWvXPnnyRMcfkAbS09MVW9G+mmrQnbq8mJgYxV21X79+L1680Lq0lJQUrpwWLVrosJJ6gICvo+Lj4/k7akRkbGxcecu4yly8eLGinyRSDPhduxgRu3pVdSmBgayGD5PlcvnOnTubNWumsp716tVTsxVKxGJxcnJyjdYWdIj/RxeJRHz70BkzZmhRlFwuP3Xq1Lx58zp06KD0rbC0tJw3b96pU6fk5a5Xlw94xlhIiOpGdvn5+dHR0aNHj+bGjDc1NR05cuSePXvy8vK0qLAO5ebm9u3bt8x+beidmnfv3r0PP/xQ8Z/DysoqNja2OmW+fPmSK8rMzExX9dQPBHydFhkZyQ87bWtrm5SUpHVR169fb968Of/r+dVXXx0q6/WiV68yIrZ3r+qCXF3Z2LFaV0NzWVlZkydP1vzeKs/ExKR58+Zt27Zt2LDhDz/8oIeqgq7wAX/q1KkZM2Zwr7///vtqFnvnzp3ly5e3a9eOK/Djjz/WSW15paWlx44dKy4u1m2x2ikqKjpw4MC4ceO41rWvptaCnbqgoOC7775TeXQuEolGjRql+cMO5fGPv1bnSoD+IeDrOsUmcubm5jExMVoU8r///Y9vcVZ5M73iYmZnx4KCVMxKSGBEbMMGLeqgnWvXrgUGBpb/RTAzM2vVqlWvXr1GjBgxd+7c3377TSqVXrx4MSMjQ291A53jA/7evXvz5s3TVcBzduzYUUMBXxsUFBRs3759yJAhSq0QXs026E4tl8s3b96s2N2skZFRaGjo9u3bFZ94dHR0VNH4XzOtWrXiCqlmT0d6hoAHdunSJX434BrHZmZmvtBYbGyshYUFt7qmzfTWrmVE7JdfyrS5TUlhLVsyT0+m91va0dHR77///nvvvbd3796zZ88+ffpUzxUA/UDAa02iqhcee3v7du3avVrCQDv1xYsX/f39FWvVrVu3M2fOcHMzMzMVG9IT0eDBgzXZwfPz80+cOLF69eqRI0e+/fbbfNParVu31tCG1AQEPDDG2N27d7UeKIX/6js6Oio+B6yOTMZGjWJErEcPtmABW7WKjRnDzM2Zuzu7cIFb5OzZszW4wVAnIeC1pjjMhLu7+5QpU44ePVrmWQMNdmrdysrKCg0NVexM0NHRcfPmzeWbPuzfv9/V1ZVfzMHBYfPmzUrLFBYW/vPPP7/99tvo0aM9PT0r6qPwl19+qYltqSEIeHjl4cOH5ZsLac7FxaXKF6+kUhYczJo3Zw0asO7d2Zw5LDeXm0NEdnZ2mjy3BqA5BLzWEhMThwwZsnDhwkq60Kl4p9YhmUwWERHBd8FJRMbGxqGhoWr6pszOzg4NDVVsWj9gwIC4uLiIiIhx48Z5eXmpb45jZGRka2vbu3dvmUym882pORgPHl5p2rRpYmJiUFBQUlJSVdc1MjK6f/9+ld9SIlHZ+zY3eOuLFy8SExPd3d2rXCyA3mVlZR0/ftzQtahBPXv21GikxAp2ah36559/vvrqq1OnTvFTevTosWrVKk9PTzVrNWjQ4JdffunXr9+ECRO4nuf37du3b9++ipYXi8UeHh7e3t6dO3f29vbu1KmT5g/X1CKGPsKA2kVxmHNtvkUJCaxfP2Zry+rVYx4ebNYsVvVWaRcvXnznnXf69OmDFm2gW/wZfM+ePfk8qM4ZfGpq6urVqwMCAhTP/7y8vFJTUytaJYyF0atH38v8d4xp08larVLTwzE8ffr0s88+UzwLd3FxiY6OrlIhWVlZY8eOLd/PvFgsbtOmzfDhw5ctW/b333/n1sCFB/3DaHJQBmNs4sSJ8fHxGn4xRCLRrVu3uDVpzhwKDydvbwoIIHt7OnOGdu0iR0dKSCBtb/AD6JCbm9vdu3eVJr711ltTp04NCgpydHTUsJzz589HR0dHRUWdPXu2omW8vLyCg4NDQkI6duyoOH0STVpH61bTaqXl36P3GlEjDStQa508eXLAgAEZGRlEZG5uvmvXrvfee0/DdX186OxZunCB3nrr9UTFofbs7Oy4sfKIqF69erNmzZo+fTrfwrdKtm7dOmbMGMZYYGBgz549O3fu7OXlpfVgBLWXYY8vQDhq61ATALyxY8cSUZMmTcr/EorFYj8/vx9//PFGBUOflZSUxMfHh4aGVtRFUkWaNWumWE4YC2vIGupjaw3k8uXL/BNrlY87paBrV0ak/GuhNBIPV2z//v0r+mcCRQh40IVaOdQEgBKZTHb+/PmXL1+ePn16zpw5fLfqSjw8PGbOnPm///1PJpM9efIkIiJCIpHwoyZWysLCgu8/iqNYB8EHPGPszp07fKt7kUi0fPlyTdbq2pV5eDAitmnT64lKAd+8efOqXpOvy3CJHnThzh1yd6ft22nYMOVZcjk1akSffkrLlxuiZgDq3L59OyoqKjo6OikpSSaTKc21trbOz88vKSmptByRSOTr6xsUFCSRSNq1a5ebmxsXFxcVFRUbG8s17eaXnESTttCWFEpRXN2czM3pDWzDVbHU1NS+ffu+un9H5O/v37Zt27Zt21pbW1tZWTVo0MDa2tra2rpBgwb8nREfH2rfnkpKKDaWrl8nbkxmxUv0UGWGPsIAQahlQ00AVNXz5883bdo0aNCgKt3T1fDCvuIUlY3sFrPFetlK/ZHJZO+//36VAojrqD89ndnasjFjXk1UOoOHKsFjcqALRUVERGUvS75mYUG5ufqsDkBVNWzY8PPPP//8888LCwvj4+OjoqKkUml6errKhevXrx8QEBASEiKRSNQ3zTM2Nu7Tp4/SRCuy2kN7FKe0pJYkLGKxODY2VosVHR0pPJzGjaORI8nPT+f1qlsQ8KAL3CicN26Uaf/Ku3aNVPX3DlALmZmZSSQSiUQil8tPnjy5bt26DRs2cLMcHBwkEklwcHC/fv2q81S0KZn2pb46qm/txRgjog4dOly6dImIRCJRv379GjZsmJubm5OTk5ubm5WVpXLF0aNp40aaMIEqfkYBNIKAB11o2ZLs7GjDBho4UHnW4cN0/z5162aIagFoTywWd+vWrVu3bkFBQTdv3vTx8fH19TUyMjJ0vWod9Y+3Xbx4kXvo/Mcff5w2bZomBYrF9Pvv5OVFy5fT8OE1VOs6AQEPumBiQuHhNHYsrVxJX39NfCcSN2/S+PHk6UmffWbQ+gFob2D5w1Yoq6SEJk6kI0eoXP8xRESMsfHjx2uY7pwOHWjKFPr2W1ylrxZx5YsAVOx1Rx+jRtGoURQWRv7+9O23tHo1jR1LHTsSY7RlC1UwcgMACICHByUm0pYtFS6werVyxz5q+PiQqSkNGUING1JY2KuJaWkkElFMTPUqWscg4EF7Fy5c6Nu376tOH8ViWr+epFKytaVNm2juXLp+nSZNovPnqRpj2ABA7efnRyNG0LRplJGhegH1Q7mUV1JCU6fSypV05owOqldnIeBBeytXruR6jrS0tHw1SSKhqCi6e5eys+nYMVq4kPhZAEC0glY8p+eGroXuLV1KMhnNmqWb0rhLAtnZFBKimwLrJgQ8aC8gIEAsFjs6OiYkJBi6LgBgSNzjbevWkdaD6iUn07p1r17zlwTWryfG0MuNlhDwoL2hQ4fm5OQ8ePCga9euhq4LABjY6NHUrRtNmEDlu/7jbqtfu1Zmovrb6rq9JFA3IeChWsp3uw0AdRP3eNu1a6q7peZa2mveN3r1LwkAAh4AAHSDf7wtNVV5VqUt7ctTc0kANIGABwAAnfnmmzKPt/EqbWlfnvpLAlApBDwAAOiMpSWtWqX68TYtbquruSQAlULAAwCALoWEqH68Tbvb6hVdEoBKoX8xAADQXnKyiomRkaoX1mIgGe6SAPoL1gLO4AEAQE+0u61e0SUBUA9n8AAAoD+VDiRTpUsCoAbO4AEAQK9wW10/EPAAAKBXalragw6JmOYdCwEAAMAbAmfwAAAAAoSABwAAECAEPAAAgAAh4AEAAAQIAQ8AACBACHgAAAABQsADAAAIEAIeAABAgBDwAAAAAoSABwAAECAEPAAAgAAh4AEAAAQIAQ8AACBACHgAAAABQsADAAAIEAIeAABAgBDwAAAAAoSABwAAECAEPAAAgAAh4AEAAAQIAQ8AACBACHgAAAABQsADAAAIEAIeAABAgBDwAAAAAoSABwAAECAEPAAAgAAh4AEAAAQIAQ8AACBACHgAAAABQsADAAAIEAIeAABAgBDwAAAAAoSABwAAECAEPAAAgAAh4AEAAAQIAQ8AACBACHgAAAABQsADAAAIEAIeAABAgBDwAAAAAoSABwAAECAEPAAAgAAh4AEAAAQIAQ8AACBACHgAAAABQsADAAAIEAIeAABAgBDwAAAAAoSABwAAECAEPAAAgAAh4AEAAAQIAQ8AACBACHgAAAABQsADAAAIEAIeAABAgBDwAAAAAoSABwAAECAEPAAAgAAh4AEAAAQIAQ8AACBACHgAAAABQsADAAAIEAIeAABAgBDwAAAAAoSABwAAECAEPAAAgAAh4AEAAAQIAQ8AACBACHgAAAABQsADAAAIEAIeAABAgBDwAAAAAoSABwAAECAEPAAAgAAh4AEAAAQIAQ8AACBACHgAAAABQsADAAAIEAIeAABAgBDwAAAAAoSABwAAECAEPAAAgAAh4AEAAAQIAQ8AACBACHgAAAABQsADAAAIEAIeAABAgBDwAAAAAoSABwAAECAEPAAAgAAh4AEAAAQIAQ8AACBACHgAAAABQsADAAAIEAIeAABAgBDwAAAAAoSABwAAECAEPAAAgAAh4AEAAAQIAQ8AACBACHgAAAABQsADAAAIEAIeAABAgBDwAAAAAoSABwAAECAEvJAdOnQoICDA2tra1dV1zpw5xcXF3PRdu3aJyurcuTM3q6CgYOrUqU5OTmZmZm+//fbWrVv50tTM4g0bNkwkEhUWFlZpFgBUnz7394re6+XLl5MmTXJ3d7e2tu7Zs+eJEyf0sulQAQYCFRsba2JiQkR2dnbcv/WUKVO4WQsXLlT6Gnh7e3OzPv/8c25Kw4YNuRe7du2qdBYnOjrayMiIiAoKCpQqo2YWAFSfPvf3it5LLpf7+/sTkZGRUYMGDYjI2Nj45MmTev8w4BUEvGC98847RBQRESGXyw8cOODk5NSuXbvS0lL276778OHD3H/l5eUxxrKysoyNjYkoMTGRMTZ16lQi6tOnj/pZjLHp06d3796d//lQTHE1swBAV/S5v1f0XnFxcUTk4ODw4MEDmUw2efJkIgoKCjLYh1LnIeCF6erVq0TUoEGD4uLi8nO7detmb29ffvquXbuIyNXVlfvz3LlzRGRiYvLy5Us1sxhj/DF++RRXMwsAdEKf+7ua91q8eDERjRw5kvvzzp073FoymUxnmwpVgXvwwnTjxg0icnd337Nnj0QiCQ4O3rBhA2OMm5uSkmJubj5gwABLS8s2bdosWbJEJpMR0YMHD4ioRYsW3GLNmzcnopKSkidPnqiZRUTPnz9njJ06dap8TdTMAgCd0Of+rua9uP+XlJRwa5WWlnJ/pqen6+dzACXGhq4A1Agud69evTp06FBuilQqvXPnzg8//PDixYuMjIyMjIwnT57Y29unpKTMnj07Ly/v+++/z8rKIiILCwtuFUtLS+5FVlaWmll63CwAUEGf+7ua93r77beJKDo6+uTJk61bt16wYAFfvSZNmtT0hwDl4QxemLKzs4moqKho69at2dnZP/30ExEtXbo0Nzc3IyMjMDBw4MCBaWlpDx8+DA8P52YVFRUpHoYTkUgk4l6IxWI1s/S6YQBQjj73dzXv9f7773t7e+fm5vr4+NjZ2e3evZtby9raWk8fBJSFX2dhsrW1JaLOnTt/8sknDRo0mDJlSsOGDYuLi69fv96qVau4uLi9e/c6ODgQ0cSJE4moqKjo1q1bNjY2RPTy5UuukLy8PO5F06ZN1czS64YBQDn63N/VvJdYLI6Pj58wYcJbb73VrVu3HTt2cGs1atRIX58ElIFL9MLk6OhIRNyjLBzuYNzS0vLkyZPnzp1zd3cPCAgghRtm5ubmrq6uRHTnzh3GmEgkun37NhEZGRk5ODiomaXvbQOAsvS5v6t5r/z8/MLCwh9++IFrWnv8+HEicnV15S/1g77ptUkf6EtWVpaZmZlIJJJKpSUlJT///DMRWVlZFRUVrV27loicnZ0vXLhQWFgYGhpKRA4ODjKZjH82JjIysqioaOzYsfTvUy5qZvH4lnTlm8qrmQUA1aTP/V3NeyUkJBBR/fr1z58/n5mZ2a9fPyKaO3euoT+eugsBL1hhYWFcpvL3z5YvX84Yy8rKatasmdKsrVu3cmvxvVtws0Qi0dGjRyudxUHAAxiKPvf3it6rsLCwQ4cOirNsbW3v379viM8DGEPAC1hRUdH333/fpUsXCwsLT0/P9evXy+VyblZqaurw4cObNm3aoEEDPz+/2NhYfq2CgoLJkyc3btzY3Nzc29s7Li5Ok1kcBDyAoehzf1fzXo8ePfrss88cHR0bN2780UcfXbx4US9bD6qJ2L/tJAEAAEAw0IoeAABAgBDwAAAAAoSABwAAECAEPAAAgAAh4AEAAAQIAQ8AACBACHgAAAABQsADAAAIEAIeAABAgBDwAAAAAoSABwAAECAEPAAAgAAh4AEAAAQIAQ8AACBACHgAAAABQsADAAAIEAIeAABAgBDwAAAAAoSABwAAECAEPAAAgAAh4AEAAAQIAQ8AACBACHgAAAABQsADAAAIEAIeAABAgBDwAAAAAoSABwAAECAEPAAAgAAh4AEAAAQIAQ8AACBACHgAAAABQsADAAAIEAIeAABqu1OnTmVnZxu6Fm8YBDwAANRex48f79GjxzvvvNOhQ4e8vDxDV+dNgoAHAACDOnyYAgPJzo7MzOitt2j2bHrxgpsTEhLSvXv3pKQkIrp///7jx48NWtE3jIgxZug6QC1y+fJlqVSalJTk7+8/Y8YMQ1cHAASNMZozh8LDydubAgLI3p7OnKFdu8jRkRISqHVrIhKJRERkYWExZ86cOXPmGLrGbxIEPFBJScnff/8tlUqlUumdO3f46e3btx85cmRwcHCrVq0MWD0AEKy9e2nQIJo3jxYsICOjVxPPnqWgIGrVio4cIZGofv36YWFhM2bMsLOzM2hd3zwI+LorMzNz//790dHRcXFx6luveHh4BAUFBQUF+fr6GvE7IQBAdcjl5OZGTk6UlEQiUZlZf/xBw4dTZCSFhBiockKAgK9zbt26FR0dHRMTc+zYsdLS0iqta29v//777wcFBQUGBlpZWdVQDQHgjZOamjpgwIC0tDRXV1dTU1M1S54+ffrVqzt3yN2dtm+nYcOUF5LLqVEj+vRTWr68ZupbJyDg64pbt25t2LAhMjLy2rVrmixvb2/fpUsXa2vrAwcOZGZmKs01MjLq2LGjRCL5+OOP27ZtWwP1BYA3Q2ZmZnh4+PLly4uLizVZ/nXoxMRQUBCdP0+eniqW69GDLCwoLk53Na1zEPB1QmFhoZOT04t/G6ZWRCQS+fr6BgUFSSSSdu3a8eseOXKEO+lPS0srv5aXl9dHH32UkpLi5+c3ZswY3dceAGqlgoKCVatWLVmypPw5gBqvQ2f3bvroI7p6ld56S8Vy/ftTbi4dP66LmtZRCPg6IScnx97evqSkROVcY2PjHj16cHfZW7ZsWVEhjLFz585FR0dLpdJz584pfnNEIhFjTCQS3b17t1mzZrrfAACoTWQy2aZNmxYsWKB40O/j4zN+/Pi3335b/bre3t6vXl27Rm3b0t69NHCgiuWaNaPAQPrvf3VW6boHAV9XfPXVV2vWrFGcYmNjExgYGBwc/N5779na2laptLS0NE9PT/6SgKmpKXd17syZM15eXrqqMwDUNjKZbP369QsXLrx//z4/sXv37seOHatyWSUl1Lgx+flRdLTyrMOHqU8f2rCBvviievWt09DRTV3h7u7OvbC2tg4LC4uPj3/69Omff/45fPjwqqY7ETk7O1taWnKvd+zY4eHhocu6AkCtFBER4e3tPX78eD7dmzdvzhjTJt2JyMSEwsNJKqWVK0nxVPPmTRo/njw96bPPdFHrusvY0BUAfRs1atSyZct0WKCPj4+xMb5IAAI3Y8aMpUuX8n/a29vPmzcvLCysWoWOGkUnTlBYGO3aRX36UMOGdOECbd9OTZrQli2EH5bqwRk8AABU7vz58/xrIyOjDz/8MCwszMeHTE1J6dGctDQSiSgmpvIyP/r4445nzpBUSra2tGkTzZ1L168nDx4sun07/ulTXW9BnYOABwCAyq1fv75169Zcx7Eymez333/nppeU0MSJVK3WXBIJRUXR3buUnU3HjtGECbqoLyDgAQBAAy4uLjdu3Lh27drgwYMVW2d7eFBiIm3ZYsCqgWoI+DonKSnp+PHjMpnM0BUBgDdPmzZtdu7cqTjFz49GjKBp0ygjw1CVAtUQ8HVFfn4+9+LUqVPdu3dv0qTJF198sXv37pcvX2pXIN/Nrbu7++3bt3VTS4199NFHHTt2VJqYnJwsEoni4+P1XBmAOm7pUpLJaNasChdwV6A0q7S09HlZWVlZNVvdOgNtFOuEkpKSFStWKE559uzZpk2bNm3aVK9evV69egUHB0skEhcXF/XlyGSyEydOcOPOPXr0iJtYWlrKj1Wjvg9qABAkR0cKD6dx42jkSPLzU7GA4jCVSq5cueLg4FCDlavDEPB1Ql5eXkUHxUVFRXFxcXFxcf/v//2/Tp06BQUFBQcHe3l5iRQGd3r58uWBAwekUum+ffueP3+uVIJYLPb19b1582aPHj3eUtnlJAAI3ejRtHEjTZhAZ89WbUU3N7eIiAjFKVevXq3u03dARAj4OsLGxmbTpk3Lli1T6mJWyblz586dO/fdd985OTlJJJIuXbo8f/5cKpUmJyeXv2dva2srkUgGDx7cu3dvCwuLGt4CAKjVxGL6/Xfy8qLly2n4cOW5au7iWVlZ9e3bV3EK34kWVBMCvq745JNPPvnkk4yMjMOHD0ul0qioqJycnIoWfvjwYUREhNJhNYfL/uDg4N69e5uZmdVklSvB3bpTnKKrW3eMsfDw8Hv37v3www/29vY6KRNAGIqKilasWDFz5szyszp0oClT6NtvVVyld3Nz00floCwEfN3SsGHDwYMHDx48OC8v78CBAzExMTExMc+ePat0xYqu3htQzd26i4+Pnz17NhGZmpquXLmyJt4C6rLCwsLDhw97e3s3atTI0HWpArlcvm7dukWLFqWmps6aNUvltcBvvqE//yRcX68lEPB1lIWFxaBBgwYNGiSXy5OTk6VSaXR09NWrV5UWCwgI+OCDDzRpf6d/NXfrjr8wUL7BAYAmCgsLHz169PjxY+7/3IuLFy/eu3evpKREJpMVFhaamJgMGjTo66+/9lPZLK2W+euvv7777rvLly+rX8zSklatUj04HOgfAr6u45rI+fr6Ll68+Pbt21KpdOfOnSdOnCAiNze3gwcPGrqCFcKtO9C/0tJSxpiJiUleXt6TJ08ePXr04MGDZ8+e8VnO/V+T8dFLSkp27NixY8cOb2/vr7/+eujQofXq1dPDJlTV6dOnZ8+erfj0adOmTefPn19SUmJiYlJ++ZAQCgmhqCg9VhEqwgDKunnzJvfdaNmypaHrUqEPP/zQ09NTaSJ3XHLo0KFqFr59+3buExg2bFg1iwIhuXXrlouLS6NGjaZPn67zAZYcHR3nzp2blpZm6K18LSUlZfDgwYq35GxsbJYsWZKXl2foqoFGcAYPenH4MIWH06lTlJ9PLVrQwIE0fTrZ2Wld3pEjlJlJ166R4nN53OAUyclU9sQeQDciIyMfPHhARJs2beI7elKpfv36Tk5OTZo0cXZ2bty4sYuLS+PGjW1tbfv3788vo9SW5enTpwsXLly8eHHv3r1DQ0MlEokBG7s8fvx4wYIFGzduLCkp4aaYmZmFhYXNmDHDrhq7LegZAh5qGGM0Zw6Fh5O3N02YQPb2dOYMLVtGW7dSQgK1bl2dgidOpCNHqHa0+QPh49Ouc+fON27cyMnJ4VppuLi4jB8/3tnZuUmTJk5OTk2bNrW1ta20NMYYlYt5uVweHx8fHx/v5eUVGho6ZMgQPT+rkpWVtXjx4pUrVxYWFnJTjIyM1B/NQK2FgIcaFhlJS5bQvHm0YAEZGb2aOHUqBQXRuHHVyed69V4NcfH55zqrLIAmPD09Y2NjDx061K9fPyLy8PCYO3eudkWpjHkiOnv27MiRI8eMGWNlZVWlAnNzc0tLS+vVq2dubl6lFQsKCuRyeUlJCVNoHt+3b99Dhw5VqRyoPRDwUJPkcpo8mXx96bvvygS5lxf99BMNH07R0RQSokXBrVrtat+eSkpo2jSSSKhhQ65UHyJWrov6qrly5Up0dHS1igBQ5RSd+p6+P0tnMymzBbUYSAOn03RrsiYixpjKC/KlpaWatNcrr6ioqKioqLo1Jnqd7rq+ywZ6gMFmQBl//P748eMNGzY85e5sa+fePUpNpa++UnGaPmQI2dvT0aPaF67BEBcaKikpOXz48OTJk93d3du3b//nn39y048fP75nzx6tx+MB4P2P/udLvumUPo/mraf1wRS8htYMoAGl9Orqdy3pXoLDVebVTwFjNHs29e1LL17QhAm0aBF5edGyZeTpSSkpBq4oqIUzeFDGnzHk5eWNHj1aLBZ37do1KCgoKCioffv2VSuLe7C+bVsVs8Ri8vCga9e4vzZu3DhgwABHR8cqFV/pEBfqZWVl7d+/Pzo6Oi4uTmUvePfv3//www/NzMzefffdbWAfLAAAHbBJREFU4ODgoKAgZ2fnKr8NCM79+/eDgoIy/h0e9dGjR3Fxcdw9+Ibc1aRyFtGiVtTqb/q7HtUjoqE09H16vwf1OEgH36f3iUgul3Ox6uzsPG3atCFDhmjx1Nz9+/e5URZdXV3Pnz9fpXUTExO//fZbbi2uDfarGTV2lw1qnKGa79dmMpns6dOn2q2bn5+fnZ2t2/romUwma9Kkicpvi5ubW1hYWHx8fHFxsUZl7drFiNjVq6rnBgYyX1/uJRGJxeJu3botXrz48uXLSgsWFBTs27dPcUrXrmz0aK62rFs31r49Ky5mDx4wIiaVvl5s9+7dubm5SqXdunVr+fLlvXv3ruqTTiKRyMvLa/78+adPn5bL5Rp9AiAgS5Ys4b4JanqgMzMzc3Nz6969+5AhQxTXbcVaDWVDFafImXwSm5TAEvgpgwcPPnbsWHVqePfuXa4azZs3166EQ4cOeXp6vo4GmYw1a8Z8fVn5L/z27YyIRUZWo75QsxDwynJycjp16iQWi52cnKysrExMTCwtLW3Vsra2NjU1rV+/voODg5WVlYWFRfUfxTa49PT0zZs3SyQSlacR9evX79u374oVKx4+fKiulKtXGRHbu1f1XFdXNnYs97L8kcSkSZMiIyNXrFjh5+fHJbHiqnzAM8YuXGBGRiw8XEXAE5GRkZGfn9+SJUv27t07c+bMtiovJ6ji4uLy3nvv9enTR+VxANfp7+bNm7OysrT+kOHNcvz4cVNTUyMjI8Wn3dRQXHcoG2rGzH5mP2exGvzCVD/gGWMymWznzp2v/rh9mxGx7dtVLsfs7dmkSVq/EdQ0BLyyyZMnaxgAajRr1uzly5eG3hTdePHixbZt24YMGWJtbV1+S42MjJo0aTJz5kzVKxcXMzs7FhSkYlZCAiNiGzZwf2n4wfJrKwY8Y2z6dGZuzpKSygS8Fv9wpqamEokkIiLi7t27fOGpqalr1qwJDAys6Fjngw8++O9//zty5Mj//e9/1fqsodZ78ODBvXv3ZDLZiRMn/vzzz4ULF44cOfKTTz7p2bNn69atlRquK674hD3pz/oTI1Nm2pv1XsgWnmVndV49nQR8GVIpI2Lnz6ue2707CwzUzRtBDUDAl3Hu3Dn+dM2Iv9tUFfxDqzNmzDD01uhYcXFxfHx8aGhoixYtym/49evXVa+2di0jYr/8UuYSX0oKa9mSeXqyss/kqOHh4aH4kSoFfG4uc3Fh3t5lAv4///lPR82a1FtYWHzwwQcbNmxIT09X8wnk5OTs2rXr888/Lz/EHPdtcXJy0vbTBYHIysq6cuXKoUOHNm/eXH5uGkvbzDaPYCMcmSMx6sV6PWPPdPjuug94je+yQS2EgH+ttLTU29ub2z3eeecd7oVIJIqNjX2h1pMnT1r/22FLjx49+F/8s2d1f4ReS1y6dGnRokUaLSqTsVGjGBHr0YMtWMBWrWJjxjBzc+buzi5c4BZJSEiYNGmSygEl/f39f/rpp5SUFKVSlQKeMRYZyYiUL9EzhfPv8q2UnZycJkyYsG/fvoKCgiptfmlpqcpH6YyMjKpUDtQRMiYrYAUyJuOnFLLCDWxDfVb/C/aFDt9I9wGv8V02qIUQ8K/98ssv3L5hZmbWvHlz7vUXX2i0+x09epTLD5FI1KlTJ27dLl26cENTAJNKWXAwa96cNWjAundnc+awcm3fGGOXL19evHhxu3btuA/Qz8+vovLKBzxjLCRERcDzBg8ezP/2Vb+hXHp6Oldaw4YN+SF5EPCg0k12kxgdYspNcz5hn7RhbXT4RroPeI3vskEthIB/JS0tje8x6t133+VeODg4PH/+XMMSPv30U37X4m/W/vrrrzVabUE6+u/D8f7+/josdvjw4Vyx27Ztq35pfMA7OjryHXki4EElGZPZMJsQFqJ0Et+OtZMwiQ7fSPcBzzS6ywa1Ezq6eWXKlCm5ublE5Obmxg1KRkSLFy+u6KnW8n766SeuA+p79+75+vpyE2fNmvXo0aMaqK+B+fiQqSn/EPsraWkkElFMjIHqBFBbiUm8mlZHUZQXef1AP6yjdYto0Tv0zi26NY/mGbp2lRk1ikaNorAw8venb7+l1atp7Fjq2JEYoy1bSNej6oEOIeCJiPbt27dz504iEolEdnZ2XBeP77777qhRozQvpFGjRosWLeJeJycnu7q6ElFOTs6MGTNqoMqGV1JCEyeSVm3VAeqcT+iTw3S4MTX+jX77ir7aQBvaU/t/6J+u1NXQVauMWEzr15NUSra2tGkTzZ1L16/TpEl0/jx16GDoyoE6OPii4uLiKVOmcK+dnZ1Pnz5NRCYmJqtXr65q55Hjxo3bsmXLiRMnCgoK+IGntm/fHhAQMGzYMFNTU93W3LA8PDDWC0AV9KJevaiXoWuhLYmEJBJDVwKqBmfwlJSUlPJvj8rcYM9E1KdPHxWNug8fpsBAsrMjMzN66y2aPZtevFCcLxaLx44dyx0WPH78mJvIGBs5cqSlpWW7du2GDBny3Xff7d69+8aNG2/6CIx+fjRiBE2bRv/216l7N2/ejI2N5Yet1JXo6OgrV67otkwAgFrH0I0ADO/58+fu7u7ln3q3sbGZMGHCq4XkcjZrFhOJWOfObPZs9vPPbPhwZmrKnJ3ZjRvcIj/99JPmvaQRUb169Tp27Dh8+PBFixZFRUXdvn1bJpNVWMtahmvEnp7ObG3ZmDGvJpbvSK6q5HL56dOnPy97TYB7SH39+vXqH1JXIzc3d/fu3c2aNVMslussLyEhQdNud8viG9mZmpry3ZugkR0YVo00soM3FgKeMcZKSkpyc3P37NnTo0cPsbjMVY1XS+zZw4jYvHlM8bG3M2dY06bM359vXKq4YuPGjT/77LNJkyYFBwe7u7srFauSSCT67rvv9L712uCfUvvvfxkRS0pirBoBX1BQEBsbO2HCBPVDuajprF6lBw8e/Prrr++99x7f+5BKNjY2Q4cO3b59+4sXLyots7S09Pjx4zNnzmzTpk35ourXr1/ljQfQHQQ8KELAK8vMzIyIiPDy8qKqD7dARA4ODjNnzrxy5YrSgi9fvvznn3/Wr18/efLkgICAxo0bqwwbS0vLWjiKSUlJSUJCguIUDcd6UZ+a6enpGzZs+OCDDywsLCo9+lFS0fk3dw1g/vz5Xl5eVW1CYWxs3KtXr2XLlt26dUupqtw1gJEjRzo4OJRfUSwWd+nSxcjIaNq0adX+sAG0h4AHRSKGZtAVSEpK6t69OxHRnTvk7k7bt9OwYcoLyeXUqBF9+iktX05Emzdv/uijjzSMq4yMjIsXL16+fPny5csXLlz4559/5HK5jreheh49ehQTEyOVShMSEgoKCkhhqHgfH2rfntatIyK6eJG8vGjRIho+nFxcSCp93RZHJBKJxeJOnTpJJJKgoCDusOn48eNcsVe5wWTLcnZ29vb2vnr16s2bNzWppI2NTf/+/QcMGFBaWhobG3v48OGMco0CjI2N/f39ZTLZhQsX+MFw1Wvbtm1QUFD37t2vXLkilUqTk5NlMln5t+ZG0e3bty/3hCSAYd27d4/rSbp58+Z82AMnOzs7MzPzxYsXmZmZmZmZly5dOnfunI+Pz5AhQ9zd3Q1duxqBgNdATAwFBdH58+TpqWJujx5kYUFxcXqvVk05c+aMVCqNiYk5d+6c0jGHyoAnohkzaM0aOniQund/HfDlT6AbNmwol8tVRqyHhwc34Hq3bt249hAZGRn79u2LiYk5cOBATk6OFhtSr149bhx3iUTCPbVIRFeuXOEOL7iBYbQotmnTptzxSp8+ferXr69FCQBQHVxCu7m5ZWZmcrGtCTVnUF26dBkyZMjHH3/8/9u7+6Co6j2O49+FRUTQEbEMk1LAEQV2TUZFqXzGsXxALTVN7d4mrn9YaeOYTePT/cOHTG28o6l51UkztasZiJJ6ldpumJYjTyGKKYpT1iCi4MpF2PvHuW4r7C67sAv48/36o4Hl7Dlnm/F8ztnf9/f9hYWFNeUH8bpm/f7gIdEkyy3072/x86t9kMaXrbmosrIyJSUlOTnZ2qO3lri4uMWLF9uebb1rvSxbtiw+Pt5J8YFerx88eLDdVvO2bt++7WiJF7s6duw4Y8aML7744tatW052e+HChdWrVw8ePNjFVeF79+69cOHC06dPt8AxFODRcfTo0Xbt2omI3dUrGkOn0yUkJKxbt+7XX39t7k/pGQS8C5pkuYX+/S0ithV7Fov3A/7GjRvaou92hxWsa6f+8ssvdc/WxbVefvvtty1btiQlJVnb9wYGBk6aNGnnzp0lJSVune29e/dMJtP8+fN79uxZ92wjIyPnz59vMpnc7f9fUlLiaD1cvV4/cuTI9evXFxUVubVPoCk17+NBU0pJSXFeM+tEUFBQWFhY165d610p1NfXd+jQoZs2bXK9VXnLxFf0LqiqkieekIQEqbuA2PHjMmyYbN0qf/lLIw8SHy9lZXLunGzf/mfrmOLi2qPaHpGfn5+SktKYoeVaX9FrkpLkq68cnq3ZbF6/fn1AQMAbb7zR+J4/hYWFKSkpBw8eNJlM7du3P3DgQEJCQiP3WVVV9c0336Smpqampl66dOmFF17YvXu3dYUCoMWKj5cffpBBg+TECbGOjHnp6tGM9uzZM336dK2HWGhoqNlsvnnzpvanbt26GQyGDh06BDvm5+enbVxdXZ2Zmbljx47du3c7H/7z8/MbPnz45MmTk5KS6j4APASa+w7jIeH95Ra0Z+IZMywdO1qsd40evAevqan58MMPk5KS4uLi7JaXd+7cOTk5OTU19c6dOx44HoCm0r+/JSrKImLZvv3PFxV7gv/oo4+sF67w8PDu3btbr10rVqxo2D5v3769c+fOF1980Zr9jgQGBh48eNCzn6gJEPCucWFR80byUusY6xRzR8/iDC0DDztvPx40UuNHEJYuXWq9ZPXs2dNa9O7j4+ORFTtLSko2bdo0ZMgQJzVDr7zySuMP1MQIeHe4tqh5w3i2dYzzKea+vr6JiYkMLQNq8NLjgSPFxcWHDh2aN29eZGRkUlLSrl27cnNzqxx/kdnIAqN3333Xeu0yGo3WQne9Xr9jxw5PfKA/Xbt2be3atf37P7ACkI+PT0RExIkTJzx7rCZAwDeReu9hXWwds2bNmh9++MHRv6Xc3Nzly5cPHDjQ7n2obWnJhAkTzGaztz4tAC+zrVF1/fGgAQNwZrP5xx9/3Lp165w5c4YOHepoBW1/f/8+ffq89tpra9asOXbs2B9//GF7em6NINy+ffvs2bP79u1btWrVkCEPLM9jfWLx9fXdtm2bu5/FRSdPnrSOuAcGBppMJi8dyNtYTa7paOur2lbB2OXjIxs3Sp8+snatTJ1a+6/awneBgYH9+vUbOHDgc889ZzQaTSZTampqenr6H3/8UWt7nU43cODAMWPGjB49Oioqavbs2Rs3bhSR/fv3Dxo0KC0tzcW5ZwCa0b179woKCnJycrKysrKzs7Ozs4uLiy11SqRff122bZNZs+TMGfv7adu2bWRkpNFoNNxXa40GEbl69Wp2dnZOTs7Zs2ezs7MvXLjgyspYlZWVZ86cOWNzYNvTS0iQfv1k3jwZPVoc3CHI9OnTL168ePHixd9//93RUSoqKrQfRowY0b17d4vF4m7DynodP3583Lhx5eXlItKxY8evv/5a69D1MCLgm47r66saDPLOO7J0qTgqDK+oqDhx4sSJEycc7UGv1yckJIwZM2bs2LG21Sgff/xx165dFyxYICKnTp16/vnn09PTrU1gALQcRUVF8+bNM5vNv/76a15eXmVlZb1vcf54ICLV1dUFBQUFBQV79+7VXql7l1DvBSEkJMRoNPbq1Uun0+n1+qKioqysLG0yrZN3rVolqamyYIF88on9DXbs2OEkrXW6B+Z8paenp6enh4WFTZo0afLkyX379nV+zo6UlZVZe9uVlpbm5eV98MEHd+7cEZHOnTsfO3bM7qTchwUB33RcuYe1WrRIdu+Wt99+4MUNGzZMmzbNZDJduXLF7rvatm07atSosWPHjho1qkOHDna3effdd9u2bfvmm2/W1NTk5+fHx8enp6cbDIaGfCQAXjNkyBAn7WYdTeB08nhgNBr9/Py0aWZiL9ptX7dmrV6v79Gjh8FgsD73P/nkk3XfVV5enpOTk52drX3HkJOTU2uDxx+XlSslOVlee83ho4smICAgIiIiMjLS9r9PPfXU+fPnbeNWp9NdvXp19erVq1evfvLJJydOnPjyyy8nJCTcvHmz8e3tQkNDjxw58lCnuwjT5JpKvVUwrreOsUtE9Hp9WVmZi+ezf/9+a7+I4ODg77RROwAthu3wmU6ni4iImDBhwuLFi/ft21dYWGg77cWVzpKaysrKs2fPfvrpp3++9O9/WxITLcHBFn9/S1SUZcECy/3R/e3bt//00093795twMnXPT2tDql37wcKjLZte+AkMzIyrl696u6MHttEa3AbHFthYWEXLlxowKduaepfwxQepN3Dbtki//lP/RuPGyfjxrm6Z4vFUlVVpXVwdMX48eMPHTqkbV9aWpqYmJiWlubqwQB4n7ZsjIhs3ry5rKyssLBw3759S5YsmTBhQkREhJNvs4OC5B//kJ9+svOnVq1aGY3G6dOni4hYLPLeezJ8uNy4IbNmybJl0qePrFkjRqOcPy8iM2fO7NOnj7UHpVvsnl5Vlej1kp+vLc5lx6BBg7p06eLusLrFJuPv3r3r1nvtWrhwYWRkZOP30+wI+Kb2+usyYIDMmiX3vyf7v5MnazeGE5EDB8RieaARVXy8tGol+fkPbFZcLDqdHDzo3pkMGTLk+PHjjz/+uIjcuXNn3LhxW+qeAYBmYl0lISYmxt2Oii49Hhw4ICtWyPvvy8mTsmyZvPOOfPaZZGZKTY0kJ4sXmpxGRcmPP0pioixdKkVFbryx3uuexWJpwKrTdvXo0WPChAke2VWzYwy+qdVbBVMvF6vxXREXF5eZmZmYmHjx4sXq6urk5OTi4uIlS5Y0dr8AmtDJk3ZePHDA6XtqamTuXBk4UP7+9wcuJX36yIcfytSpkpLixleIrtHqkNLSJDi4doFRveq97pWXlzt69A8KCgoODm7/ICevuPmxWi4CvhnUqoIZP16ys8W2mMN5E2nXq/FdER4ebjKZRo0alZWVZbFYli5dWlpaunbtWicdnYBHTWVlZV5enjY/7fz584mJicnJyR4Z7nXC4tWFQi5flqIiWb7cTmBOnixvvSUZGR4PeLlfS9+rlxw96nCbffv2WRvIW9e3dOW6FxERsXz58i5dulRUVNgmt4srRqrnEf3Yzc62SP7ePfeeyN2qxndFaGhoRkbGmDFjvvvuOxFZt25dSUnJtm3b6u3PDKjq2rVrWpxrNeEFBQW2c8HT0tLmzp0bHh4eFxdnrS1v/FLiv//+u/WI2g/a6x4ZV67t559FRHr1svMnHx+Jiqr9hbiHWGvpn3tOTCb727z00kvaDxY3Z9Ln5+dz1bJFwDcPrQomKUlEpEsXt5/I651R6q727dsfO3Zs6tSp+/fvF5HPPvvs+vXr+/fvZy01PAru3r2bl5eXlZVlnehVUlLi/C01NTWFhYWFhYV79uzRXgkODraGvdFojI6ODggIcLKHqqqq/Px829uI3377ze6WZWVlDftczmiz6h2t6xgYKLdve+pQ2ghCfPz/f9W68ZSWyn//K9evu7Gfeq97pHstBHyz0apgvvpKevaUoUPdeyJ3fUap6/z9/ffu3Ttr1iyt1O7YsWPDhg1LS0t77LHHPHMAoCW5e/fuhg0bTp065XqzNudKS0szMjIyMjK0X319fbt3766FfWxsrMFgaN26dXZ29tmzZ7XbiJ9//rmqVqltHX5+fgaDIUl7FPAs7dm9oEDsTvXOz5eRIz1/UBFpRB2SN657aiPgm4ijKpj4eHnqKVm2zO0n8np7UjaAr6/v5s2bQ0JCVq5cKSKnT5/u27fv0aNHbXvhAWpYs2bN+++/7+67OnXqpKV1jx49wsPD8/PztbTOy8vTmptaVVdXnzt37ty5c9aecfXy9/ePjo6OiYnRDhEbGxsaGuruGboqMlI6dJCtW6Xu3cPx43LligwY4K1DO+3G43yOnDeuewoj4FuEBtyZNr4a3y6dTrdixYrAwMBFixaJSFFRkdFoLC8vp+YOigkKCqp3m4CAgOjoaIPBEBMToyWuNq3Uavjw4doPFovll19+yc7Ozs3N1fq4FRYWVldXO9m5Tqfr2rVrbGysNc67d+/edOVgfn6ycqW88YasWydvvvlnBdCFC/K3v4nRKNpcea+x26xTRCoqKm7evFlaWnrz5s267/LSdU9VBHxL0YA703pb1jfY9OnT169ff/36dRExm83l5eWut9ABHgqzZ8/eunWrtZBNRHx8fLp166ZlrRa6ERERtmswOqF1mouIiBg/frz2itlszsrKGjBggPZXvV5fU1PTqlUrs9ksIjt27Bg7dmwz/7P6618lM1Peflv+9S8ZNkxCQiQrS3btktBQ+fRT8fKthm0dkq02bdq0adOmc+fOjt7oveueegj4lqJhd6aO7oIbIzc3d+TIkVq663S6V199lXSHenx8fDp16qT9PGfOnClTpkRHR7vyWO+igIAA6ypkfn5+2lIxsbGxubm5ItK7d+/m/2fl4yP//KeMHy+ffCLbt8uNG2IwyJw58t574rn/D05Y65Dc5Y3rnpII+BakAXemju6CG+zIkSMTJ07URhMDAgI+//zzcV6YCwu0KKNGjerfv39zn0UzGT3afsMNT2tINx4HPH7dUxUDqy3LokUSEuLenalbLeud27t375gxY7R0DwkJ0dZF9syugRbM0fw0tFgevO4pjCf4lqXeO1MP3gXXsnHjxtmzZ2tlQWFhYYcPH46OjvbAfoGWyrrC+syZM9966y1t9N1oNGqz2D34dX11dfW0adMCAgKcl93BEe9d99RGwLc4DR6XaowFCxZoU+NEJCoqKj09/emnn27SMwCa1uHDh7/99lvrr2VlZSaTyXS/uZqPj094eLi1cY3BYOjWrVu9q5zZdrS1bUVXXV29a9cuEbGO+ru7YBrQADrvtjvGw8A23Z955plDhw498cQTzXtKgLfNnz9/1apVrm/frl07rbReS/3Y2NigoCDnHW3rGjFixNGjRzt37lxYWOi8zx3QeAT8o+7y5cvWZaeHDh365ZdfNn9xL+B9RUVFM2bMyMzMrLednF06na5NmzYVFRXON2vdunVYWFi/fv2eeeaZZ599Ni4u7vvvv4+Kiqo1nx7wBgL+UWc2m3v16nX58uUpU6Zs377d39+/uc8IaDr37t07f/58bm5uVlZWbm5uTk7OpUuXGrw3nU7XrVu32PsMBkNkZOQju5QZmh0BD7l161ZRUVFMTAzjgsCtW7e0pNca0uXk5NhtqaYJDg62bUUXExPD+kxoOQh4AHDmypUrWtJrkX/16tW+ffvOnTs3Nja28UvEAt5DwAMAoCAa3QAAoCACHgAABRHwAAAoiIAHAEBBBDwAAAoi4AEAUBABDwCAggh4AAAURMADAKAgAh4AAAUR8AAAKIiABwBAQQQ8AAAKIuABAFAQAQ8AgIIIeAAAFETAAwCgIAIeAAAFEfAAACiIgAcAQEEEPAAACiLgAQBQEAEPAICCCHgAABREwAMAoCACHgAABRHwAAAoiIAHAEBBBDwAAAoi4AEAUBABDwCAggh4AAAURMADAKAgAh4AAAUR8AAAKIiABwBAQQQ8AAAKIuABAFAQAQ8AgIIIeAAAFETAAwCgIAIeAAAFEfAAACiIgAcAQEEEPAAACiLgAQBQEAEPAICCCHgAABREwAMAoCACHgAABRHwAAAoiIAHAEBBBDwAAAoi4AEAUBABDwCAggh4AAAURMADAKAgAh4AAAUR8AAAKIiABwBAQQQ8AAAKIuABAFAQAQ8AgIIIeAAAFETAAwCgIAIeAAAFEfAAACiIgAcAQEEEPAAACiLgAQBQEAEPAICCCHgAABREwAMAoCACHgAABRHwAAAoiIAHAEBBBDwAAAoi4AEAUBABDwCAggh4AAAURMADAKAgAh4AAAUR8AAAKIiABwBAQQQ8AAAKIuABAFAQAQ8AgIIIeAAAFPQ/CPrmcxCtK+UAAAAASUVORK5CYII=" 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" alt />

 </div>

 <p>The result will be a data frame with four columns. The first is a query id, the second is a target, or hit, id, the third is the distance (or similarity if <code>asSimilary</code> was true) between the query and the target, and the fourth column is the compound id number of the target. Lsh parameters can be passed in as well, see Section <a href="#performance-tests">Performance Tests</a> for more details.</p>

@@ -216,12 +214,6 @@ plot(sdfsample[result$target[1:4]],regenCoords=TRUE,print=FALSE)</code></pre>

 ## $`215`

 ## [1] "215" "264"

 ## 

-## $`216`

-## [1] "216" "272"

-## 

-## $`245`

-## [1] "245" "251"

-## 

 ## $`248`

 ## [1] &quot;248&quot; &quot;249&quot;</code></pre>

 </div>