title

RDKit: Fingerprint Thresholds

viewport

width=1100

Content-Type

text/html; charset=UTF-8

generator

blogger

google-adsense-platform-account

ca-host-pub-1556223355139109

og:url

http://rdkit.blogspot.com/2013/10/fingerprint-thresholds.html

og:title

Fingerprint Thresholds

og:description

Thresholds for "random" in fingerprints the RDKit supports Updated 27 May, 2019 to use Python 3 and add the count-based Avalon fingerprin...

og:image

data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAYAAAAEKCAYAAAAb7IIBAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz AAALEgAACxIB0t1+/AAAH+VJREFUeJzt3X9wFPX9x/HnMbmOPyAI1VzsnTaRHA0HgaTigW3thMYg xjETBycaWxIEnU6oNf7qjLZVk/4g+bY6HcRmdDqhjWlLYLQk1Mo1jvVs/RUwglrilNMJmrtcogjR Q6IBst8/qFvCr1zukjvIvh4zN3Ps7Wf3vR8u+9rb++yezTAMAxERsZxJyS5ARESSQwEgImJRCgAR EYtSAIiIWJQCQETEohQAIiIWFVUAHD58mLy8PK699loA9u7dS2FhITNnzmTx4sX09/eb89bW1uJ2 u8nOzqatrc2c3tHRQU5ODm63m6qqqjHeDBERGa2oAmDNmjV4PB5sNhsAdXV1FBYWsmvXLgoKCqir qwOgs7OTDRs20NnZic/nY9WqVXxxmUFlZSUNDQ0EAgECgQA+n2+cNklERKIxYgAEg0GeeeYZbrnl FnNnvnnzZioqKgCoqKigpaUFgNbWVsrKyrDb7WRkZJCVlUV7ezvhcJhIJILX6wWgvLzcbCMiIskx YgDceeed/PrXv2bSpP/N2tfXh8PhAMDhcNDX1wdAT08PLpfLnM/lchEKhY6b7nQ6CYVCY7YRIiIy eimnevHpp58mLS2NvLw8/H7/Ceex2WzmqaGxMJbLEhGxilju6nPKTwAvv/wymzdvJjMzk7KyMv7x j3+wbNkyHA4Hvb29AITDYdLS0oAjR/bd3d1m+2AwiMvlwul0EgwGh013Op2n3BCrPx588MGk13C6 PNQX6gv1xakfsTplAKxevZru7m66urpobm7mO9/5Dk1NTRQXF9PY2AhAY2MjJSUlABQXF9Pc3Mzg 4CBdXV0EAgG8Xi/p6emkpqbS3t6OYRg0NTWZbUREJDlOeQroWF+cnrn33nspLS2loaGBjIwMNm7c CIDH46G0tBSPx0NKSgr19fVmm/r6epYvX87AwABFRUUsWbJkjDdFRERGw2bE8/lhHNhstrg+0kwU fr+f/Pz8ZJdxWlBf/I/64n/UF/8T635TASAicoaLdb+pW0GIiFiUAkBExKIUACIiFqUAEBGxKAWA iIhFKQAkbqmp081bgsTySE2dnuxNELEkDQOVuB252C+e/zP9n4vEQ8NARURkVBQAIiIWpQAQEbEo BYCIiEUpAERELEoBICJiUQoAERGLUgCIiFiUAkBExKIUACIiFqUAEBGxqFMGwGeffcaCBQvIzc3F 4/Fw3333AVBdXY3L5SIvL4+8vDy2bNlitqmtrcXtdpOdnU1bW5s5vaOjg5ycHNxuN1VVVeO0OSIi Eq0RbwZ34MABzjnnHA4dOsS3vvUtHnroIZ577jmmTJnCXXfdNWzezs5ObrrpJrZt20YoFOLKK68k EAhgs9nwer08+uijeL1eioqKuP3221myZMnxBelmcGcc3QxOJLnG7WZw55xzDgCDg4McPnyYadOm AZxwZa2trZSVlWG328nIyCArK4v29nbC4TCRSASv1wtAeXk5LS0toy5WJqoU3UpaJAlGDIChoSFy c3NxOBwsWrSI2bNnA7B27VrmzZvHypUr6e/vB6CnpweXy2W2dblchEKh46Y7nU5CodBYb4ucsQ5x 5BPE6B+RyL5kFCwyIaSMNMOkSZPYsWMHH3/8MVdddRV+v5/KykoeeOABAO6//37uvvtuGhoaxqyo 6upq83l+fj75+fljtmwRkTOd3+/H7/fHvZwRA+ALU6dO5ZprruG1114btkO+5ZZbuPbaa4EjR/bd 3d3ma8FgEJfLhdPpJBgMDpvudDpPuq6jA0BERIY79sC4pqYmpuWc8hTQnj17zNM7AwMDPPvss+Tl 5dHb22vOs2nTJnJycgAoLi6mubmZwcFBurq6CAQCeL1e0tPTSU1Npb29HcMwaGpqoqSkJKaCRURk bJzyE0A4HKaiooKhoSGGhoZYtmwZBQUFlJeXs2PHDmw2G5mZmTz++OMAeDweSktL8Xg8pKSkUF9f /98RIlBfX8/y5csZGBigqKjohCOAJDlSU6frXLqIBek3gWVMhnEmr73eLyL6TWARERkVBYCIiEUp AERELEoBICJiUQoAERGLUgCIiFiUAkBExKIUACIiFqUAEBGxKAWAiIhFKQBERCxKASAiYlEKABER i1IAiIhYlAJARMSiFAAiIhalABARsSgFgIiIRSkAREQs6pQB8Nlnn7FgwQJyc3PxeDzcd999AOzd u5fCwkJmzpzJ4sWL6e/vN9vU1tbidrvJzs6mra3NnN7R0UFOTg5ut5uqqqpx2hwREYnWKQPgrLPO 4vnnn2fHjh28+eabPP/887z44ovU1dVRWFjIrl27KCgooK6uDoDOzk42bNhAZ2cnPp+PVatWmT9U XFlZSUNDA4FAgEAggM/nG/+tExGRkxrxFNA555wDwODgIIcPH2batGls3ryZiooKACoqKmhpaQGg tbWVsrIy7HY7GRkZZGVl0d7eTjgcJhKJ4PV6ASgvLzfbiIhIcqSMNMPQ0BBf//rXeffdd6msrGT2 7Nn09fXhcDgAcDgc9PX1AdDT08PChQvNti6Xi1AohN1ux+VymdOdTiehUOik66yurjaf5+fnk5+f P9rtEhGZsPx+P36/P+7ljBgAkyZNYseOHXz88cdcddVVPP/888Net9ls2Gy2uAs52tEBICIiwx17 YFxTUxPTcqIeBTR16lSuueYaOjo6cDgc9Pb2AhAOh0lLSwOOHNl3d3ebbYLBIC6XC6fTSTAYHDbd 6XTGVLDIcCnmQUgsj9TU6cneAJGkOWUA7NmzxxzhMzAwwLPPPkteXh7FxcU0NjYC0NjYSElJCQDF xcU0NzczODhIV1cXgUAAr9dLeno6qamptLe3YxgGTU1NZhuR+BwCjJgfkci+JNQscno45SmgcDhM RUUFQ0NDDA0NsWzZMgoKCsjLy6O0tJSGhgYyMjLYuHEjAB6Ph9LSUjweDykpKdTX15unh+rr61m+ fDkDAwMUFRWxZMmS8d86ERE5KZvxxTjN04TNZuM0K2nCOxLS8fR5MtvHv2693+RMF+t+U1cCi4hY lAJARMSiFAAiIhalABARsSgFgIiIRSkAREQsSgEgImJRCgAREYtSAIiIWJQCQETEohQAIiIWpQAQ EbEoBYCIiEUpACaI1NTpMf8oiohYk24HPUHEd0tn3Q5a5Eym20GLiMioKABERCxKASAiYlEKABER ixoxALq7u1m0aBGzZ89mzpw5PPLIIwBUV1fjcrnIy8sjLy+PLVu2mG1qa2txu91kZ2fT1tZmTu/o 6CAnJwe3201VVdU4bI6IiERrxFFAvb299Pb2kpuby/79+7n00ktpaWlh48aNTJkyhbvuumvY/J2d ndx0001s27aNUCjElVdeSSAQwGaz4fV6efTRR/F6vRQVFXH77bezZMmS4QVpFFBMNAoo9nXr/SZn unEbBZSenk5ubi4AkydPZtasWYRCIYATrrC1tZWysjLsdjsZGRlkZWXR3t5OOBwmEong9XoBKC8v p6WlZdQFi4jI2EgZzcy7d+9m+/btLFy4kJdeeom1a9fyxBNPMH/+fB5++GHOO+88enp6WLhwodnG 5XIRCoWw2+24XC5zutPpNIPkWNXV1ebz/Px88vPzR7dVIiITmN/vx+/3x72cqANg//79XH/99axZ s4bJkydTWVnJAw88AMD999/P3XffTUNDQ9wFwfAAEBGR4Y49MK6pqYlpOVGNAjp48CBLly7le9/7 HiUlJQCkpaWZtxK45ZZb2Lp1K3DkyL67u9tsGwwGcblcOJ1OgsHgsOlOpzOmokVEJH4jBoBhGKxc uRKPx8Mdd9xhTg+Hw+bzTZs2kZOTA0BxcTHNzc0MDg7S1dVFIBDA6/WSnp5Oamoq7e3tGIZBU1OT GSYiIpJ4I54Ceumll/jjH//I3LlzycvLA2D16tWsX7+eHTt2YLPZyMzM5PHHHwfA4/FQWlqKx+Mh JSWF+vp684Zj9fX1LF++nIGBAYqKio4bASQiIomjm8FNEBoGGvu69X6TM51uBiciIqOiABARsSgF gIiIRSkAREQsSgEgImJRCgAREYtSAIiIWJQCQETEohQAIiIWpQAQEbEoBYCIiEUpAMTiUszbmsfy SE2dnuwNEInZqH4RTGTiOUQ8N5OLRGxjV4pIgukTgIiIRSkAREQsSgEgImJRCgAREYtSAIiIWJQC QETEokYMgO7ubhYtWsTs2bOZM2cOjzzyCAB79+6lsLCQmTNnsnjxYvr7+802tbW1uN1usrOzaWtr M6d3dHSQk5OD2+2mqqpqHDZHRESiNWIA2O12fvOb37Bz505effVVfvvb3/L2229TV1dHYWEhu3bt oqCggLq6OgA6OzvZsGEDnZ2d+Hw+Vq1aZf5YcWVlJQ0NDQQCAQKBAD6fb3y3TkRETmrEAEhPTyc3 NxeAyZMnM2vWLEKhEJs3b6aiogKAiooKWlpaAGhtbaWsrAy73U5GRgZZWVm0t7cTDoeJRCJ4vV4A ysvLzTYiIpJ4o7oSePfu3Wzfvp0FCxbQ19eHw+EAwOFw0NfXB0BPTw8LFy4027hcLkKhEHa7HZfL ZU53Op2EQqETrqe6utp8np+fT35+/mjKFBGZ0Px+P36/P+7lRB0A+/fvZ+nSpaxZs4YpU6YMe+2L +6KMlaMDQEREhjv2wLimpiam5UQ1CujgwYMsXbqUZcuWUVJSAhw56u/t7QUgHA6TlpYGHDmy7+7u NtsGg0FcLhdOp5NgMDhsutPpjKloERGJ34gBYBgGK1euxOPxcMcdd5jTi4uLaWxsBKCxsdEMhuLi YpqbmxkcHKSrq4tAIIDX6yU9PZ3U1FTa29sxDIOmpiazjYiIJJ7N+GKIzkm8+OKLfPvb32bu3Lnm aZ7a2lq8Xi+lpaW8//77ZGRksHHjRs477zwAVq9ezbp160hJSWHNmjVcddVVwJFhoMuXL2dgYICi oiJzSOmwgmw2RihJTuDI/02s/RZP22S3T37ter9KssW63xwxABJNARAbBUAy1n2kvd6vkmyx7jd1 JbCIiEUpAERELEoBICJiUfpJyNNEaup0IpF9yS5DRCxEXwKfJuL7EhfO9C9Sz+Tarfh+ldOLvgQW EZFRUQCIiFiUAkBExKIUACIiFqUAEBGxKAWAiIhFKQBERCxKASAiYlEKABERi1IAiIhYlAJARMSi FAAiIhalABARsSgFgIiIRY0YACtWrMDhcJCTk2NOq66uxuVykZeXR15eHlu2bDFfq62txe12k52d TVtbmzm9o6ODnJwc3G43VVVVY7wZIiIyWiMGwM0334zP5xs2zWazcdddd7F9+3a2b9/O1VdfDUBn ZycbNmygs7MTn8/HqlWrzHtUV1ZW0tDQQCAQIBAIHLdMERFJrBED4IorrmDatGnHTT/Rjw+0trZS VlaG3W4nIyODrKws2tvbCYfDRCIRvF4vAOXl5bS0tIxB+SIiEquYfxJy7dq1PPHEE8yfP5+HH36Y 8847j56eHhYuXGjO43K5CIVC2O12XC6XOd3pdBIKhU667OrqavN5fn4++fn5sZYpIjLh+P1+/H5/ 3MuJKQAqKyt54IEHALj//vu5++67aWhoiLuYLxwdACIiMtyxB8Y1NTUxLSemUUBpaWnYbDZsNhu3 3HILW7duBY4c2Xd3d5vzBYNBXC4XTqeTYDA4bLrT6YypYBERGRsxBUA4HDafb9q0yRwhVFxcTHNz M4ODg3R1dREIBPB6vaSnp5Oamkp7ezuGYdDU1ERJScnYbIFIUqWYB0OjfaSmTk928WJxI54CKisr 44UXXmDPnj1cdNFF1NTU4Pf72bFjBzabjczMTB5//HEAPB4PpaWleDweUlJSqK+vx2azAVBfX8/y 5csZGBigqKiIJUuWjO+WiSTEIeD4ARHRiERsY1uKyCjZjBMN50kim812whFGE92RoIxnu+Npn8x1 x9v+zK7diu91GXux7jd1JbCIiEUpAERELEoBICJiUQoAERGLUgCIiFiUAkBExKIUACIiFqUAEBGx KAWAiIhFKQBERCxKASAiYlEKABERi1IAiIhYlAJARMSiFAAiIhalABARsSgFgIiIRSkAREQsSgEg ImJRIwbAihUrcDgc5OTkmNP27t1LYWEhM2fOZPHixfT395uv1dbW4na7yc7Opq2tzZze0dFBTk4O brebqqqqMd4MEREZrRED4Oabb8bn8w2bVldXR2FhIbt27aKgoIC6ujoAOjs72bBhA52dnfh8Plat WmX+UHFlZSUNDQ0EAgECgcBxyxQRkcQaMQCuuOIKpk2bNmza5s2bqaioAKCiooKWlhYAWltbKSsr w263k5GRQVZWFu3t7YTDYSKRCF6vF4Dy8nKzzUSRmjodm80W80NEJNFSYmnU19eHw+EAwOFw0NfX B0BPTw8LFy4053O5XIRCIex2Oy6Xy5zudDoJhUInXX51dbX5PD8/n/z8/FjKTKhIZB9gxLEEhYCI RMfv9+P3++NeTkwBcLTxOII9OgBERGS4Yw+Ma2pqYlpOTKOAHA4Hvb29AITDYdLS0oAjR/bd3d3m fMFgEJfLhdPpJBgMDpvudDpjKlhERMZGTAFQXFxMY2MjAI2NjZSUlJjTm5ubGRwcpKuri0AggNfr JT09ndTUVNrb2zEMg6amJrONiIgkiTGCG2+80bjwwgsNu91uuFwuY926dcZHH31kFBQUGG632ygs LDT27dtnzv/LX/7SmDFjhvG1r33N8Pl85vTXXnvNmDNnjjFjxgzjhz/84UnXF0VJpyXAACOORzLb q/Zk1S4yFmJ9L9n+2/i0YbPZOM1KisqR70HiqTuZ7VV7ctrbgUMxr3nKlGl88snemNvLxBHrfjPu L4FFJFaHiCd8IhGNHJP46FYQIiIWpQAQEbEoBYCIiEUpAERELEoBICJiUQoAERGLUgCIiFiUAkBE xKIUACIiFqUAEBGxKAWAiIhFKQBERCxKASAiYlEKABERi1IAiIhYlAJARMSiFAAiIhYVVwBkZGQw d+5c8vLy8Hq9AOzdu5fCwkJmzpzJ4sWL6e/vN+evra3F7XaTnZ1NW1tbfJWLiEhc4goAm82G3+9n +/btbN26FYC6ujoKCwvZtWsXBQUF1NXVAdDZ2cmGDRvo7OzE5/OxatUqhoaG4t8CERGJSdyngI79 IeLNmzdTUVEBQEVFBS0tLQC0trZSVlaG3W4nIyODrKwsMzRERCTx4v4EcOWVVzJ//nx+97vfAdDX 14fD4QDA4XDQ19cHQE9PDy6Xy2zrcrkIhULxrF5EROKQEk/jl156iQsvvJAPP/yQwsJCsrOzh71u s9mw2WwnbX+y16qrq83n+fn55Ofnx1OmiMiE4vf78fv9cS8nrgC48MILAbjgggu47rrr2Lp1Kw6H g97eXtLT0wmHw6SlpQHgdDrp7u422waDQZxO5wmXe3QAiIjIcMceGNfU1MS0nJhPAR04cIBIJALA p59+SltbGzk5ORQXF9PY2AhAY2MjJSUlABQXF9Pc3Mzg4CBdXV0EAgFz5JCIiCRezJ8A+vr6uO66 6wA4dOgQ3/3ud1m8eDHz58+ntLSUhoYGMjIy2LhxIwAej4fS0lI8Hg8pKSnU19ef8vSQiIiML5tx 7DCeJLPZbMeNLDoTHAmzeOpOZnvVnpz28a/7TPxbkbEX635TVwKLiFiUAuAoqanTzZFLo32IJF5K zO9Xm81Gaur0ZG+AJJlOAR2zbp2KONPaq/Z42p9mf/4SI50CEhGRUVEAiIhYlAJARMSiFAAiIhal ABARsSgFgIiIRSkAREQsSgEgImJRCgAREYtSAIiIWJQCQMSyYr+XkO4jNDHE9YtgInImO0Ss9xKK RHQDxIlAnwBERCxqQn0CSE2dTiSyL9lliIicESZUABzZ+cd7e10REWvQKSAREYtKeAD4fD6ys7Nx u9383//9X6JXfwbxJ7uA04g/2QWcRvzJLuC04ff7k13CGS+hAXD48GFuu+02fD4fnZ2drF+/nrff fvu4+Q4cOBDTY2LxJ7uA04g/2QWcRvzJLuC/kv9zlAqA+CX0O4CtW7eSlZVFRkYGADfeeCOtra3M mjVr2HxTp54/6mUPDR0aixJFJCqxDyEFiETscf2W9pQp07jrrttjbi9HJDQAQqEQF110kflvl8tF e3v7cfOde27BqJc9OBhiYGB7XPWJSKLEGyAasDEWEhoA0Sb+xx8/Hc9a4mgbb/uxXndNAtefzH6L pv2p+uJ0r32s2x7dF2da7WPXvqamhpqa0f6NyNESGgBOp5Pu7m7z393d3bhcrmHzxPLL9iIiMnoJ /RJ4/vz5BAIBdu/ezeDgIBs2bKC4uDiRJYiIyH8l9BNASkoKjz76KFdddRWHDx9m5cqVx30BLCIi iZHw6wCuvvpq1qxZQ0pKCuvWrTvptQC33347brebefPmsX37xP1yd6TrIv70pz8xb9485s6dyze/ +U3efPPNJFSZGNFeI7Jt2zZSUlL4y1/+ksDqEiuavvD7/eTl5TFnzhzy8/MTW2ACjdQXe/bsYcmS JeTm5jJnzhz+8Ic/JL7IBFixYgUOh4OcnJyTzjPq/aaRYIcOHTJmzJhhdHV1GYODg8a8efOMzs7O YfP87W9/M66++mrDMAzj1VdfNRYsWJDoMhMimr54+eWXjf7+fsMwDGPLli2W7osv5lu0aJFxzTXX GE8++WQSKh1/0fTFvn37DI/HY3R3dxuGYRgffvhhMkodd9H0xYMPPmjce++9hmEc6Yfp06cbBw8e TEa54+qf//yn8frrrxtz5sw54eux7DcT/gng6GsB7Ha7eS3A0TZv3kxFRQUACxYsoL+/n76+vkSX Ou6i6YvLL7+cqVOnAkf6IhgMJqPUcRdNXwCsXbuW66+/ngsuuCAJVSZGNH3x5z//maVLl5qDKM4/ f/TXzpwJoumLCy+8kE8++QSATz75hC9/+cukpEyo25wBcMUVVzBt2rSTvh7LfjPhAXCiawFCodCI 80zEHV80fXG0hoYGioqKElFawkX7vmhtbaWyshKIfljxmSaavggEAuzdu5dFixYxf/58mpqaEl1m QkTTF7feeis7d+7kK1/5CvPmzWPNmjWJLvO0EMt+M+ExGe0frXHMcNCJ+Mc+mm16/vnnWbduHS+9 9NI4VpQ80fTFHXfcQV1dHTabDcMwJuyQ4Wj64uDBg7z++us899xzHDhwgMsvv5yFCxfidrsTUGHi RNMXq1evJjc3F7/fz7vvvkthYSFvvPEGU6ZMSUCFp5fR7jcTHgDRXAtw7DzBYBCn05mwGhMlmr4A ePPNN7n11lvx+Xyn/Ah4JoumLzo6OrjxxhuBI1/8bdmyBbvdPuGGEkfTFxdddBHnn38+Z599Nmef fTbf/va3eeONNyZcAETTFy+//DI/+clPAJgxYwaZmZn85z//Yf78+QmtNdli2m+O2TcUUTp48KBx ySWXGF1dXcbnn38+4pfAr7zyyoT94jOavnjvvfeMGTNmGK+88kqSqkyMaPriaMuXLzeeeuqpBFaY ONH0xdtvv20UFBQYhw4dMj799FNjzpw5xs6dO5NU8fiJpi/uvPNOo7q62jAMw+jt7TWcTqfx0Ucf JaPccdfV1RXVl8DR7jcT/gngZNcCPP744wB8//vfp6ioiGeeeYasrCzOPfdcfv/73ye6zISIpi9+ 9rOfsW/fPvO8t91uZ+vWrckse1xE0xdWEU1fZGdns2TJEubOncukSZO49dZb8Xg8Sa587EXTFz/+ 8Y+5+eabmTdvHkNDQ/zqV79i+vSJ96P1ZWVlvPDCC+zZs4eLLrqImpoaDh48CMS+37QZxgQ9kSoi IqekXwQTEbEoBYCIiEUpAERELEoBICJiUQoAsYRJkyaxbNky89+HDh3iggsu4Nprrx02X0lJCZdf fvlx7R966CFmzZpFXl4eXq/XvPL24MGD3HvvvcycOZNLL72Ub3zjG/h8PgDWrVvH3LlzmTdvHjk5 OWzevHkct1Bk9CbeDTNETuDcc89l586dfPbZZ5x11lk8++yzuFyuYVdK9vf38+9//5upU6fS1dVF ZmYmAI899hjPPfcc27ZtY/LkyUQiETZt2gTA/fffT19fHzt37sRut/PBBx/wwgsvEAwGWb16Ndu3 b2fKlCkcOHCADz74ICnbLnIyGgYqljBlyhSqqqrIy8tj6dKllJeXM2fOHP71r3/x17/+FThyxP7W W2/hcDgwDIP77rsPgK9+9au88MILZGRkDFvmgQMHuPjii9m9ezeTJ08e9trrr7/OypUr6ejoYNIk fdCW05PemWIZN9xwA83NzXz++ee89dZbLFiwYNjrzc3N3HDDDZSWlrJ+/XrgyN0lI5HIcTt/gHfe eYeLL774uJ0/QG5uLg6Hg8zMTFasWMHTT8fzO9ci40MBIJaRk5PD7t27Wb9+Pddcc82w1/r6+njn nXdYuHAhl1xyCV/60pfYuXNnzOuaNGkSPp+PJ598kpkzZ3LnnXfqB8zltKMAEEspLi7mnnvuoays bNidEzdu3MjevXvJzMwkMzPTDIrU1FQmT55MV1fXccvKysri/fffJxKJnHR9l112Gffeey/Nzc08 9dRT47JNIrFSAIilrFixgurqambPnj1s+vr16/n73/9OV1cXXV1dvPbaazQ3NwNw33338YMf/MDc 0e/fv5+mpibOOeccVq5cSVVVlXlPlg8//JAnn3yScDjM66+/bi5/+/btJzyNJJJMGgUklvDFaB+n 08ltt91mTrPZbLz33nt0d3cP+04gIyODqVOnsm3bNiorK9m/fz+XXXYZdrsdu93OPffcA8AvfvEL fvrTn+LxeDjrrLM499xz+fnPf87Bgwf50Y9+RE9PD2eddRZpaWk89thjid9wkVPQKCAREYvSKSAR EYtSAIiIWJQCQETEohQAIiIWpQAQEbEoBYCIiEX9P+m7mi5nB/n+AAAAAElFTkSuQmCC

image_url

data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAYAAAAEKCAYAAAAb7IIBAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz AAALEgAACxIB0t1+/AAAH+VJREFUeJzt3X9wFPX9x/HnMbmOPyAI1VzsnTaRHA0HgaTigW3thMYg xjETBycaWxIEnU6oNf7qjLZVk/4g+bY6HcRmdDqhjWlLYLQk1Mo1jvVs/RUwglrilNMJmrtcogjR Q6IBst8/qFvCr1zukjvIvh4zN3Ps7Wf3vR8u+9rb++yezTAMAxERsZxJyS5ARESSQwEgImJRCgAR EYtSAIiIWJQCQETEohQAIiIWFVUAHD58mLy8PK699loA9u7dS2FhITNnzmTx4sX09/eb89bW1uJ2 u8nOzqatrc2c3tHRQU5ODm63m6qqqjHeDBERGa2oAmDNmjV4PB5sNhsAdXV1FBYWsmvXLgoKCqir qwOgs7OTDRs20NnZic/nY9WqVXxxmUFlZSUNDQ0EAgECgQA+n2+cNklERKIxYgAEg0GeeeYZbrnl FnNnvnnzZioqKgCoqKigpaUFgNbWVsrKyrDb7WRkZJCVlUV7ezvhcJhIJILX6wWgvLzcbCMiIskx YgDceeed/PrXv2bSpP/N2tfXh8PhAMDhcNDX1wdAT08PLpfLnM/lchEKhY6b7nQ6CYVCY7YRIiIy eimnevHpp58mLS2NvLw8/H7/Ceex2WzmqaGxMJbLEhGxilju6nPKTwAvv/wymzdvJjMzk7KyMv7x j3+wbNkyHA4Hvb29AITDYdLS0oAjR/bd3d1m+2AwiMvlwul0EgwGh013Op2n3BCrPx588MGk13C6 PNQX6gv1xakfsTplAKxevZru7m66urpobm7mO9/5Dk1NTRQXF9PY2AhAY2MjJSUlABQXF9Pc3Mzg 4CBdXV0EAgG8Xi/p6emkpqbS3t6OYRg0NTWZbUREJDlOeQroWF+cnrn33nspLS2loaGBjIwMNm7c CIDH46G0tBSPx0NKSgr19fVmm/r6epYvX87AwABFRUUsWbJkjDdFRERGw2bE8/lhHNhstrg+0kwU fr+f/Pz8ZJdxWlBf/I/64n/UF/8T635TASAicoaLdb+pW0GIiFiUAkBExKIUACIiFqUAEBGxKAWA iIhFKQAkbqmp081bgsTySE2dnuxNELEkDQOVuB252C+e/zP9n4vEQ8NARURkVBQAIiIWpQAQEbEo BYCIiEUpAERELEoBICJiUQoAERGLUgCIiFiUAkBExKIUACIiFqUAEBGxqFMGwGeffcaCBQvIzc3F 4/Fw3333AVBdXY3L5SIvL4+8vDy2bNlitqmtrcXtdpOdnU1bW5s5vaOjg5ycHNxuN1VVVeO0OSIi Eq0RbwZ34MABzjnnHA4dOsS3vvUtHnroIZ577jmmTJnCXXfdNWzezs5ObrrpJrZt20YoFOLKK68k EAhgs9nwer08+uijeL1eioqKuP3221myZMnxBelmcGcc3QxOJLnG7WZw55xzDgCDg4McPnyYadOm AZxwZa2trZSVlWG328nIyCArK4v29nbC4TCRSASv1wtAeXk5LS0toy5WJqoU3UpaJAlGDIChoSFy c3NxOBwsWrSI2bNnA7B27VrmzZvHypUr6e/vB6CnpweXy2W2dblchEKh46Y7nU5CodBYb4ucsQ5x 5BPE6B+RyL5kFCwyIaSMNMOkSZPYsWMHH3/8MVdddRV+v5/KykoeeOABAO6//37uvvtuGhoaxqyo 6upq83l+fj75+fljtmwRkTOd3+/H7/fHvZwRA+ALU6dO5ZprruG1114btkO+5ZZbuPbaa4EjR/bd 3d3ma8FgEJfLhdPpJBgMDpvudDpPuq6jA0BERIY79sC4pqYmpuWc8hTQnj17zNM7AwMDPPvss+Tl 5dHb22vOs2nTJnJycgAoLi6mubmZwcFBurq6CAQCeL1e0tPTSU1Npb29HcMwaGpqoqSkJKaCRURk bJzyE0A4HKaiooKhoSGGhoZYtmwZBQUFlJeXs2PHDmw2G5mZmTz++OMAeDweSktL8Xg8pKSkUF9f /98RIlBfX8/y5csZGBigqKjohCOAJDlSU6frXLqIBek3gWVMhnEmr73eLyL6TWARERkVBYCIiEUp AERELEoBICJiUQoAERGLUgCIiFiUAkBExKIUACIiFqUAEBGxKAWAiIhFKQBERCxKASAiYlEKABER i1IAiIhYlAJARMSiFAAiIhalABARsSgFgIiIRSkAREQs6pQB8Nlnn7FgwQJyc3PxeDzcd999AOzd u5fCwkJmzpzJ4sWL6e/vN9vU1tbidrvJzs6mra3NnN7R0UFOTg5ut5uqqqpx2hwREYnWKQPgrLPO 4vnnn2fHjh28+eabPP/887z44ovU1dVRWFjIrl27KCgooK6uDoDOzk42bNhAZ2cnPp+PVatWmT9U XFlZSUNDA4FAgEAggM/nG/+tExGRkxrxFNA555wDwODgIIcPH2batGls3ryZiooKACoqKmhpaQGg tbWVsrIy7HY7GRkZZGVl0d7eTjgcJhKJ4PV6ASgvLzfbiIhIcqSMNMPQ0BBf//rXeffdd6msrGT2 7Nn09fXhcDgAcDgc9PX1AdDT08PChQvNti6Xi1AohN1ux+VymdOdTiehUOik66yurjaf5+fnk5+f P9rtEhGZsPx+P36/P+7ljBgAkyZNYseOHXz88cdcddVVPP/888Net9ls2Gy2uAs52tEBICIiwx17 YFxTUxPTcqIeBTR16lSuueYaOjo6cDgc9Pb2AhAOh0lLSwOOHNl3d3ebbYLBIC6XC6fTSTAYHDbd 6XTGVLDIcCnmQUgsj9TU6cneAJGkOWUA7NmzxxzhMzAwwLPPPkteXh7FxcU0NjYC0NjYSElJCQDF xcU0NzczODhIV1cXgUAAr9dLeno6qamptLe3YxgGTU1NZhuR+BwCjJgfkci+JNQscno45SmgcDhM RUUFQ0NDDA0NsWzZMgoKCsjLy6O0tJSGhgYyMjLYuHEjAB6Ph9LSUjweDykpKdTX15unh+rr61m+ fDkDAwMUFRWxZMmS8d86ERE5KZvxxTjN04TNZuM0K2nCOxLS8fR5MtvHv2693+RMF+t+U1cCi4hY lAJARMSiFAAiIhalABARsSgFgIiIRSkAREQsSgEgImJRCgAREYtSAIiIWJQCQETEohQAIiIWpQAQ EbEoBYCIiEUpACaI1NTpMf8oiohYk24HPUHEd0tn3Q5a5Eym20GLiMioKABERCxKASAiYlEKABER ixoxALq7u1m0aBGzZ89mzpw5PPLIIwBUV1fjcrnIy8sjLy+PLVu2mG1qa2txu91kZ2fT1tZmTu/o 6CAnJwe3201VVdU4bI6IiERrxFFAvb299Pb2kpuby/79+7n00ktpaWlh48aNTJkyhbvuumvY/J2d ndx0001s27aNUCjElVdeSSAQwGaz4fV6efTRR/F6vRQVFXH77bezZMmS4QVpFFBMNAoo9nXr/SZn unEbBZSenk5ubi4AkydPZtasWYRCIYATrrC1tZWysjLsdjsZGRlkZWXR3t5OOBwmEong9XoBKC8v p6WlZdQFi4jI2EgZzcy7d+9m+/btLFy4kJdeeom1a9fyxBNPMH/+fB5++GHOO+88enp6WLhwodnG 5XIRCoWw2+24XC5zutPpNIPkWNXV1ebz/Px88vPzR7dVIiITmN/vx+/3x72cqANg//79XH/99axZ s4bJkydTWVnJAw88AMD999/P3XffTUNDQ9wFwfAAEBGR4Y49MK6pqYlpOVGNAjp48CBLly7le9/7 HiUlJQCkpaWZtxK45ZZb2Lp1K3DkyL67u9tsGwwGcblcOJ1OgsHgsOlOpzOmokVEJH4jBoBhGKxc uRKPx8Mdd9xhTg+Hw+bzTZs2kZOTA0BxcTHNzc0MDg7S1dVFIBDA6/WSnp5Oamoq7e3tGIZBU1OT GSYiIpJ4I54Ceumll/jjH//I3LlzycvLA2D16tWsX7+eHTt2YLPZyMzM5PHHHwfA4/FQWlqKx+Mh JSWF+vp684Zj9fX1LF++nIGBAYqKio4bASQiIomjm8FNEBoGGvu69X6TM51uBiciIqOiABARsSgF gIiIRSkAREQsSgEgImJRCgAREYtSAIiIWJQCQETEohQAIiIWpQAQEbEoBYCIiEUpAMTiUszbmsfy SE2dnuwNEInZqH4RTGTiOUQ8N5OLRGxjV4pIgukTgIiIRSkAREQsSgEgImJRCgAREYtSAIiIWJQC QETEokYMgO7ubhYtWsTs2bOZM2cOjzzyCAB79+6lsLCQmTNnsnjxYvr7+802tbW1uN1usrOzaWtr M6d3dHSQk5OD2+2mqqpqHDZHRESiNWIA2O12fvOb37Bz505effVVfvvb3/L2229TV1dHYWEhu3bt oqCggLq6OgA6OzvZsGEDnZ2d+Hw+Vq1aZf5YcWVlJQ0NDQQCAQKBAD6fb3y3TkRETmrEAEhPTyc3 NxeAyZMnM2vWLEKhEJs3b6aiogKAiooKWlpaAGhtbaWsrAy73U5GRgZZWVm0t7cTDoeJRCJ4vV4A ysvLzTYiIpJ4o7oSePfu3Wzfvp0FCxbQ19eHw+EAwOFw0NfXB0BPTw8LFy4027hcLkKhEHa7HZfL ZU53Op2EQqETrqe6utp8np+fT35+/mjKFBGZ0Px+P36/P+7lRB0A+/fvZ+nSpaxZs4YpU6YMe+2L +6KMlaMDQEREhjv2wLimpiam5UQ1CujgwYMsXbqUZcuWUVJSAhw56u/t7QUgHA6TlpYGHDmy7+7u NtsGg0FcLhdOp5NgMDhsutPpjKloERGJ34gBYBgGK1euxOPxcMcdd5jTi4uLaWxsBKCxsdEMhuLi YpqbmxkcHKSrq4tAIIDX6yU9PZ3U1FTa29sxDIOmpiazjYiIJJ7N+GKIzkm8+OKLfPvb32bu3Lnm aZ7a2lq8Xi+lpaW8//77ZGRksHHjRs477zwAVq9ezbp160hJSWHNmjVcddVVwJFhoMuXL2dgYICi oiJzSOmwgmw2RihJTuDI/02s/RZP22S3T37ter9KssW63xwxABJNARAbBUAy1n2kvd6vkmyx7jd1 JbCIiEUpAERELEoBICJiUfpJyNNEaup0IpF9yS5DRCxEXwKfJuL7EhfO9C9Sz+Tarfh+ldOLvgQW EZFRUQCIiFiUAkBExKIUACIiFqUAEBGxKAWAiIhFKQBERCxKASAiYlEKABERi1IAiIhYlAJARMSi FAAiIhalABARsSgFgIiIRY0YACtWrMDhcJCTk2NOq66uxuVykZeXR15eHlu2bDFfq62txe12k52d TVtbmzm9o6ODnJwc3G43VVVVY7wZIiIyWiMGwM0334zP5xs2zWazcdddd7F9+3a2b9/O1VdfDUBn ZycbNmygs7MTn8/HqlWrzHtUV1ZW0tDQQCAQIBAIHLdMERFJrBED4IorrmDatGnHTT/Rjw+0trZS VlaG3W4nIyODrKws2tvbCYfDRCIRvF4vAOXl5bS0tIxB+SIiEquYfxJy7dq1PPHEE8yfP5+HH36Y 8847j56eHhYuXGjO43K5CIVC2O12XC6XOd3pdBIKhU667OrqavN5fn4++fn5sZYpIjLh+P1+/H5/ 3MuJKQAqKyt54IEHALj//vu5++67aWhoiLuYLxwdACIiMtyxB8Y1NTUxLSemUUBpaWnYbDZsNhu3 3HILW7duBY4c2Xd3d5vzBYNBXC4XTqeTYDA4bLrT6YypYBERGRsxBUA4HDafb9q0yRwhVFxcTHNz M4ODg3R1dREIBPB6vaSnp5Oamkp7ezuGYdDU1ERJScnYbIFIUqWYB0OjfaSmTk928WJxI54CKisr 44UXXmDPnj1cdNFF1NTU4Pf72bFjBzabjczMTB5//HEAPB4PpaWleDweUlJSqK+vx2azAVBfX8/y 5csZGBigqKiIJUuWjO+WiSTEIeD4ARHRiERsY1uKyCjZjBMN50kim812whFGE92RoIxnu+Npn8x1 x9v+zK7diu91GXux7jd1JbCIiEUpAERELEoBICJiUQoAERGLUgCIiFiUAkBExKIUACIiFqUAEBGx KAWAiIhFKQBERCxKASAiYlEKABERi1IAiIhYlAJARMSiFAAiIhalABARsSgFgIiIRSkAREQsSgEg ImJRIwbAihUrcDgc5OTkmNP27t1LYWEhM2fOZPHixfT395uv1dbW4na7yc7Opq2tzZze0dFBTk4O brebqqqqMd4MEREZrRED4Oabb8bn8w2bVldXR2FhIbt27aKgoIC6ujoAOjs72bBhA52dnfh8Plat WmX+UHFlZSUNDQ0EAgECgcBxyxQRkcQaMQCuuOIKpk2bNmza5s2bqaioAKCiooKWlhYAWltbKSsr w263k5GRQVZWFu3t7YTDYSKRCF6vF4Dy8nKzzUSRmjodm80W80NEJNFSYmnU19eHw+EAwOFw0NfX B0BPTw8LFy4053O5XIRCIex2Oy6Xy5zudDoJhUInXX51dbX5PD8/n/z8/FjKTKhIZB9gxLEEhYCI RMfv9+P3++NeTkwBcLTxOII9OgBERGS4Yw+Ma2pqYlpOTKOAHA4Hvb29AITDYdLS0oAjR/bd3d3m fMFgEJfLhdPpJBgMDpvudDpjKlhERMZGTAFQXFxMY2MjAI2NjZSUlJjTm5ubGRwcpKuri0AggNfr JT09ndTUVNrb2zEMg6amJrONiIgkiTGCG2+80bjwwgsNu91uuFwuY926dcZHH31kFBQUGG632ygs LDT27dtnzv/LX/7SmDFjhvG1r33N8Pl85vTXXnvNmDNnjjFjxgzjhz/84UnXF0VJpyXAACOORzLb q/Zk1S4yFmJ9L9n+2/i0YbPZOM1KisqR70HiqTuZ7VV7ctrbgUMxr3nKlGl88snemNvLxBHrfjPu L4FFJFaHiCd8IhGNHJP46FYQIiIWpQAQEbEoBYCIiEUpAERELEoBICJiUQoAERGLUgCIiFiUAkBE xKIUACIiFqUAEBGxKAWAiIhFKQBERCxKASAiYlEKABERi1IAiIhYlAJARMSiFAAiIhYVVwBkZGQw d+5c8vLy8Hq9AOzdu5fCwkJmzpzJ4sWL6e/vN+evra3F7XaTnZ1NW1tbfJWLiEhc4goAm82G3+9n +/btbN26FYC6ujoKCwvZtWsXBQUF1NXVAdDZ2cmGDRvo7OzE5/OxatUqhoaG4t8CERGJSdyngI79 IeLNmzdTUVEBQEVFBS0tLQC0trZSVlaG3W4nIyODrKwsMzRERCTx4v4EcOWVVzJ//nx+97vfAdDX 14fD4QDA4XDQ19cHQE9PDy6Xy2zrcrkIhULxrF5EROKQEk/jl156iQsvvJAPP/yQwsJCsrOzh71u s9mw2WwnbX+y16qrq83n+fn55Ofnx1OmiMiE4vf78fv9cS8nrgC48MILAbjgggu47rrr2Lp1Kw6H g97eXtLT0wmHw6SlpQHgdDrp7u422waDQZxO5wmXe3QAiIjIcMceGNfU1MS0nJhPAR04cIBIJALA p59+SltbGzk5ORQXF9PY2AhAY2MjJSUlABQXF9Pc3Mzg4CBdXV0EAgFz5JCIiCRezJ8A+vr6uO66 6wA4dOgQ3/3ud1m8eDHz58+ntLSUhoYGMjIy2LhxIwAej4fS0lI8Hg8pKSnU19ef8vSQiIiML5tx 7DCeJLPZbMeNLDoTHAmzeOpOZnvVnpz28a/7TPxbkbEX635TVwKLiFiUAuAoqanTzZFLo32IJF5K zO9Xm81Gaur0ZG+AJJlOAR2zbp2KONPaq/Z42p9mf/4SI50CEhGRUVEAiIhYlAJARMSiFAAiIhal ABARsSgFgIiIRSkAREQsSgEgImJRCgAREYtSAIiIWJQCQMSyYr+XkO4jNDHE9YtgInImO0Ss9xKK RHQDxIlAnwBERCxqQn0CSE2dTiSyL9lliIicESZUABzZ+cd7e10REWvQKSAREYtKeAD4fD6ys7Nx u9383//9X6JXfwbxJ7uA04g/2QWcRvzJLuC04ff7k13CGS+hAXD48GFuu+02fD4fnZ2drF+/nrff fvu4+Q4cOBDTY2LxJ7uA04g/2QWcRvzJLuC/kv9zlAqA+CX0O4CtW7eSlZVFRkYGADfeeCOtra3M mjVr2HxTp54/6mUPDR0aixJFJCqxDyEFiETscf2W9pQp07jrrttjbi9HJDQAQqEQF110kflvl8tF e3v7cfOde27BqJc9OBhiYGB7XPWJSKLEGyAasDEWEhoA0Sb+xx8/Hc9a4mgbb/uxXndNAtefzH6L pv2p+uJ0r32s2x7dF2da7WPXvqamhpqa0f6NyNESGgBOp5Pu7m7z393d3bhcrmHzxPLL9iIiMnoJ /RJ4/vz5BAIBdu/ezeDgIBs2bKC4uDiRJYiIyH8l9BNASkoKjz76KFdddRWHDx9m5cqVx30BLCIi iZHw6wCuvvpq1qxZQ0pKCuvWrTvptQC33347brebefPmsX37xP1yd6TrIv70pz8xb9485s6dyze/ +U3efPPNJFSZGNFeI7Jt2zZSUlL4y1/+ksDqEiuavvD7/eTl5TFnzhzy8/MTW2ACjdQXe/bsYcmS JeTm5jJnzhz+8Ic/JL7IBFixYgUOh4OcnJyTzjPq/aaRYIcOHTJmzJhhdHV1GYODg8a8efOMzs7O YfP87W9/M66++mrDMAzj1VdfNRYsWJDoMhMimr54+eWXjf7+fsMwDGPLli2W7osv5lu0aJFxzTXX GE8++WQSKh1/0fTFvn37DI/HY3R3dxuGYRgffvhhMkodd9H0xYMPPmjce++9hmEc6Yfp06cbBw8e TEa54+qf//yn8frrrxtz5sw54eux7DcT/gng6GsB7Ha7eS3A0TZv3kxFRQUACxYsoL+/n76+vkSX Ou6i6YvLL7+cqVOnAkf6IhgMJqPUcRdNXwCsXbuW66+/ngsuuCAJVSZGNH3x5z//maVLl5qDKM4/ f/TXzpwJoumLCy+8kE8++QSATz75hC9/+cukpEyo25wBcMUVVzBt2rSTvh7LfjPhAXCiawFCodCI 80zEHV80fXG0hoYGioqKElFawkX7vmhtbaWyshKIfljxmSaavggEAuzdu5dFixYxf/58mpqaEl1m QkTTF7feeis7d+7kK1/5CvPmzWPNmjWJLvO0EMt+M+ExGe0frXHMcNCJ+Mc+mm16/vnnWbduHS+9 9NI4VpQ80fTFHXfcQV1dHTabDcMwJuyQ4Wj64uDBg7z++us899xzHDhwgMsvv5yFCxfidrsTUGHi RNMXq1evJjc3F7/fz7vvvkthYSFvvPEGU6ZMSUCFp5fR7jcTHgDRXAtw7DzBYBCn05mwGhMlmr4A ePPNN7n11lvx+Xyn/Ah4JoumLzo6OrjxxhuBI1/8bdmyBbvdPuGGEkfTFxdddBHnn38+Z599Nmef fTbf/va3eeONNyZcAETTFy+//DI/+clPAJgxYwaZmZn85z//Yf78+QmtNdli2m+O2TcUUTp48KBx ySWXGF1dXcbnn38+4pfAr7zyyoT94jOavnjvvfeMGTNmGK+88kqSqkyMaPriaMuXLzeeeuqpBFaY ONH0xdtvv20UFBQYhw4dMj799FNjzpw5xs6dO5NU8fiJpi/uvPNOo7q62jAMw+jt7TWcTqfx0Ucf JaPccdfV1RXVl8DR7jcT/gngZNcCPP744wB8//vfp6ioiGeeeYasrCzOPfdcfv/73ye6zISIpi9+ 9rOfsW/fPvO8t91uZ+vWrckse1xE0xdWEU1fZGdns2TJEubOncukSZO49dZb8Xg8Sa587EXTFz/+ 8Y+5+eabmTdvHkNDQ/zqV79i+vSJ96P1ZWVlvPDCC+zZs4eLLrqImpoaDh48CMS+37QZxgQ9kSoi IqekXwQTEbEoBYCIiEUpAERELEoBICJiUQoAsYRJkyaxbNky89+HDh3iggsu4Nprrx02X0lJCZdf fvlx7R966CFmzZpFXl4eXq/XvPL24MGD3HvvvcycOZNLL72Ub3zjG/h8PgDWrVvH3LlzmTdvHjk5 OWzevHkct1Bk9CbeDTNETuDcc89l586dfPbZZ5x11lk8++yzuFyuYVdK9vf38+9//5upU6fS1dVF ZmYmAI899hjPPfcc27ZtY/LkyUQiETZt2gTA/fffT19fHzt37sRut/PBBx/wwgsvEAwGWb16Ndu3 b2fKlCkcOHCADz74ICnbLnIyGgYqljBlyhSqqqrIy8tj6dKllJeXM2fOHP71r3/x17/+FThyxP7W W2/hcDgwDIP77rsPgK9+9au88MILZGRkDFvmgQMHuPjii9m9ezeTJ08e9trrr7/OypUr6ejoYNIk fdCW05PemWIZN9xwA83NzXz++ee89dZbLFiwYNjrzc3N3HDDDZSWlrJ+/XrgyN0lI5HIcTt/gHfe eYeLL774uJ0/QG5uLg6Hg8zMTFasWMHTT8fzO9ci40MBIJaRk5PD7t27Wb9+Pddcc82w1/r6+njn nXdYuHAhl1xyCV/60pfYuXNnzOuaNGkSPp+PJ598kpkzZ3LnnXfqB8zltKMAEEspLi7mnnvuoays bNidEzdu3MjevXvJzMwkMzPTDIrU1FQmT55MV1fXccvKysri/fffJxKJnHR9l112Gffeey/Nzc08 9dRT47JNIrFSAIilrFixgurqambPnj1s+vr16/n73/9OV1cXXV1dvPbaazQ3NwNw33338YMf/MDc 0e/fv5+mpibOOeccVq5cSVVVlXlPlg8//JAnn3yScDjM66+/bi5/+/btJzyNJJJMGgUklvDFaB+n 08ltt91mTrPZbLz33nt0d3cP+04gIyODqVOnsm3bNiorK9m/fz+XXXYZdrsdu93OPffcA8AvfvEL fvrTn+LxeDjrrLM499xz+fnPf87Bgwf50Y9+RE9PD2eddRZpaWk89thjid9wkVPQKCAREYvSKSAR EYtSAIiIWJQCQETEohQAIiIWpQAQEbEoBYCIiEX9P+m7mi5nB/n+AAAAAElFTkSuQmCC

blogId

684443317148892945

postId

7984737506650103944

url

https://www.blogger.com/profile/10263150365422242369

url

http://rdkit.blogspot.com/2013/10/fingerprint-thresholds.html

alternate

https://rdkit.blogspot.com/feeds/posts/default

alternate

https://rdkit.blogspot.com/feeds/posts/default?alt=rss

alternate

https://rdkit.blogspot.com/feeds/7984737506650103944/comments/default

canonical

http://rdkit.blogspot.com/2013/10/fingerprint-thresholds.html

icon

https://rdkit.blogspot.com/favicon.ico