diff --git a/Benchmarks/CyRK - SciPy Comparison.ipynb b/Benchmarks/CyRK - SciPy Comparison.ipynb index 434d755..9841426 100644 --- a/Benchmarks/CyRK - SciPy Comparison.ipynb +++ b/Benchmarks/CyRK - SciPy Comparison.ipynb @@ -18,7 +18,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "0.9.0a0.dev1\n" + "0.9.0\n" ] } ], @@ -468,7 +468,7 @@ "outputs": [ { "data": { - "image/png": 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", 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1qs5/lzhxqonEl18ZY0o1adIEYrEYaWlpCsunTZuGoqIiFBYWIjo6Gr1798aXX36JTZs2ydT7/fffZd737t0bVlZW2LFjB0QikTQJhUKEhISge/fuMDExgYmJCbp3744DBw7gxYsX0uOfP3+OI0eOyPWnc+fOOHToENLS0iAWi1FUVIRdu3ZBT08Pbdu2rfTzuru74/nz59i/f79M/vbt2wFILn+W9eeffyIzM1P6XigUynyesquFa2K8AGDPnj1ISUnBtGnTpMfPmDEDT548wd69eysdg8qU/0yaEhYWBhcXF7kUGBgIAGr/LACSy78AYG9vr5U+M1bb8GPCGGNKGRsbo7CwEGKxWGH53r17sWrVKhARsrOz8fDhQ4V1k5OTZd6/8sorAOSDl7IsLS1BRBCJRHj8+LFcefk8BwcHhIWF4Z9//oGfnx/i4uKQn5+PHj16ICAgAMbGxpV+XisrK4XnSk1NRWFhIaysrCr8XA8fPkTz5s2l7xcvXowlS5ZI32t7vHJzc1FQUIAff/wRc+bMwdy5c6Gvr49Ro0bB398fBQUFyj+8ihwdHfHvv/9Wu53ynj17hoiICKXljRo1UvlnoVR+fj4AqPS9Z6w+4KCOMaZUWloaDA0NYWJigtzcXLny1NTUCv8jLlX+JvbSmb/p06fjypUrCo9JSUmBvr4+xGIxbG1t5crL540cORJmZmZ455138OjRI2l+586dK+1fqadPn6Jnz55y+TY2NtDX15ebsSz/uYYPHw5DQ0Pp+/LBj7bHq9SmTZswb948TJw4EUZGRtDT08PmzZsrPW9lunfvDjs7O2zdurXabakrIyND5Z+FUpaWlgCgdKaZsfqGgzrGmFLR0dEAgFatWuH27dsaa/fixYvIyMhA+/btsXHjRqX1CgsLcfXqVbzzzjuYO3eu9LKbmZkZhg8fLlO3NBAqe2kOACZPnizX7osXLxTO3pw5cwYffPABRo4ciYMHD0rzx48fLy2vyJ07dyosrypVx6vU48eP8dtvv8HX1xcGBgY4cuQIEhISqtWHRo0aYfPmzSgoKMCaNWuq1VZV5ObmqvyzUKply5YAgLt379ZYPxnTJQ7qGGNKnT17FgDQq1cvjQZ1OTk5mDFjBnbs2AFLS0vs378fT548gY2NDTp16gQbGxv4+voCkDzNIiQkBKdOncL3338PkUiEzz//HDk5OTKXQ0+dOoUXL15gz549WLlyJYyMjODj44NGjRrJnf/27dt499138cknnyAiIgJisRgRERHYuXMnpk2bhh07dmDRokW4ffs2+vTpgwULFuDo0aOVBnXaos54lVq3bh2uXr0KAPD29lbrfG3atEHPnj0hFAphZWWFnj174uOPP0aDBg0wfvx4rQRJDRs2VDhL+uLFC9y4cQOA6j8LpXr16oWioiKcP39e4/1lrLbS+WoNTpw41d507tw5ue08AMVbdJRPla2mdHV1pSNHjlBaWhq9ePGCEhIS6MiRI3L1hw0bRjdu3KD8/HyKi4ujzz77TOHmw0OHDqXr169Tbm4uJSQk0HfffUeDBg0iIiI3NzdpvYYNG9K+ffsoPT2diouLZdpp1KgRBQQEUFJSEhUUFFBsbCwtW7ZM5okJqn5+XY1XaYqJiaHIyEiV+1h6/lIFBQWUmppKFy9epG+++YYcHR3ljtH26teEhIQq/SyU/uyWXzHMiVM9TzrvACdOnGpxeuedd6iwsJCaNGmi875wUj117NiRiP7bLqU+J0VBXcuWLam4uFhmGxpOnOp74i1NGGMVOnDgAK5du4b58+fruitMBS1btkT//v3x008/4d9//5Vux/Ky+eKLL3DmzBmcPn1a111hrMZwUMcYq9TkyZPx77//am2PMqY5X375JU6dOgUzMzO8//77yMvL03WXapxIJMLDhw9l9upj7GUggGTKjjHGGGOM1WE8U8cYY4wxVg9wUMcYY4wxVg9wUMcYY4wxVg9wUMcYY4wxVg/wEyVqQJMmTZCdna3rbjDGGGOsjjE3N5d7jrQyHNRpia+vL6ZNmwY9PT20bdtW191hjDHGWB1lb2+vUmDHW5pombm5ObKysmBvb8+zdRogEong4eGBU6dOobi4WNfdqVd4bLWHx1Y7eFy1h8dWe9QZW3NzcyQlJaFBgwYqxRA8U1dDsrOzOajTAJFIhLy8PGRnZ/M/NBrGY6s9PLbaweOqPTy22qPNseWFEowxxhhj9QAHdYwxxhhj9QAHdYwxxhhj9QDfU1cLGBsbw8bGhh+WrgKRSARra2s0a9aM7/PQMB5bCSJCdnY2MjMzQcTryBhjdQcHdSooLCzEnTt3AADh4eGYPHmyxtru0KEDZs2aBX19fY21Wd8ZGxvD3d1d192ol3hs/xMdHY0tW7YgNTVV111hjDGVcFCngszMTHTp0kXj7RobG2PWrFmIiopCcHAwioqKNH6O+sjc3JxXEmsJj61kxrJx48YYNWoUli1bBl9fX/7dZIzVCRzU6ZCNjQ309fURHByMhw8f6ro7dYaFhQWePXum627USzy2EjExMUhPT8cXX3wBW1tbJCYm6rpLjDFWqXq/UMLV1RWHDx9GUlISiAgjRoyQq+Pj44OYmBjk5eUhPDwcffr0kSlv0KABwsPDERYWhr59+2qsb6X30PEsAGO1z4sXLwBIZu4YY6wuqPdBnampKW7evInp06crLB81ahTWrl2LZcuWoUuXLggLC8Px48fh4OAgrdO8eXO4uLjgk08+wc6dO2Fubl5T3VeRCSQPBqGS14wxxhjTLiEANwAflnzVfUhV7y+/hoSEICQkRGn57NmzERgYiMDAQADArFmzMGjQIPj4+GDBggUAgOTkZABAZGQk7t69i7Zt2yIiIkJhewYGBjA0NJS+Lw0ARSKR3F/8L+sMgJeXF9auXYtGjRqpfWzp7KZAIOCViRrGY6uYot/dqrQhFApf2t95beFx1R4e24oRjYRYvAaAQ5ncBAiFsyAQHKzwWHXGVt3xr/dBXUX09fXRrVs3rFixQib/5MmT6N27NwCgYcOGyM3NRUFBAezt7dG+fXvExMQobXP+/PlYvHixXL6Hhwfy8vJk8qytrWFsbAxzc3NYWFhU+XOIxWYovbfdxGQw9PRCIRCIq9yeKqytrbFw4UK8+eabaNy4MTIzM3Hnzh2sWLEC165dq/DYkJAQuLi4SD/zRx99hICAAGn548ePcfnyZSxevBjx8fFyx5uammr2wzApHtv/mJubw9jYGH379kVaWlq12hKJROjatSsEAsFLvV2MpvG4ag+PrXLJya8jImK+ghJ7iMW/oVu35bCzu6z0eHXG1tjYWK2+vdRBnbW1NfT09JCSkiKTn5KSAltbWwCAk5MTfvzxR4jFYhAR/Pz8kJGRobTN5cuXw9/fX/q+9GG8p06dkltV2KxZM7i7uyM7O7saN6d7AvhB+i4393cACQD8AARXsc3KHTlyBPr6+hg/fjxiYmLwyiuvYMCAATAwMKj0szx79kxmzHNzc/Hs2TO8+uqrEAgEaNeuHX788Uf8/PPP6Ny5M8Ti/wLU0tmkrKwsnk3SMB5bWQ0bNkReXh7Onz+v8I8LdYhEIhARQkJC+D9IDeJx1R4eW8WIhBCLAyC53an85VYhADEiIsZCKFysdHJFnbFV93avlzqoK1X+P7Cyl58uX76M1157TeW2CgoKUFBQAF9fX0ybNg1CoeSbXlxcLPfNq/4viieA/Qry7Uvy34M2AjsLCwu4urrCzc0N58+fBwA8evRIZobOwsICK1euxIgRI2BhYYEHDx5g3rx5OHr0qMLLr0QkDfQeP36MJUuW4JdffkHr1q3x+eefo3Hjxhg+fLj0+yIUCpGYmIgFCxYgKChI45/xZVQ6thzQyVL0u1sVYrFYY22x//C4ag+PrSJ9IHvJtTwhAEeIxb0BnFNaS9WxVXfsdX9Xnw6lpaWhqKhIOitXqnHjxnKzd+oKCAiAs7MzevToUa12lBMCWFfmdfkyAFiroKz6nj9/juzsbIwcORIGBgZy5QKBAMePH0fv3r0xduxYtG/fHvPmzVPrh7P0UrW+vj62bt2KwYMHy3yfhgwZAjMzM+zbt6/6H4gxxhhTiZ2G62nWSx3UFRYWIiIiAh4eHjL5Hh4euHTpko56pSpXSP5aUPYtlPy1IKmnWcXFxZgwYQK8vLyQmZmJCxcuYNmyZejYsSMA4M0330SPHj3wzjvv4PTp04iNjcXRo0crXLBSlr29PebOnYuEhATcu3cPly9fxj///INx48ZJ63h7e+O3335DTk6Oxj8fY4wxpliyhutpVr0P6kxNTdGpUyd06tQJANCiRQt06tRJumWJv78/Jk2aBG9vb7Rr1w7+/v5wdHTE5s2bq3VeX19fREZG4urVq9X+DIrp9q+FAwcOoEmTJnj77bdx4sQJ9OvXD3///Te8vLzQuXNnJCYm4v79+yq317BhQ2RnZ+P58+dITEyEgYEB3nnnHRQWFgIAtm7dCm9vbwCSeyGHDh2Kbdu2aeWzMcYYY4qFQXLfurLFiGIAj0rq6QbV5+Tm5kaKBAUFSev4+PhQbGws5efnU3h4OLm6umrs/Obm5kREZG5uLlfWrFkz2rlzJzVr1qwKbbsRQCoktxob6y1btlBcXBxNnz6d4uLilNbz8vKijIwMmffPnj2jVq1aUYsWLcjExETuGEtLS8rPz6devXrRggUL6J9//tH5z1Z9TBYWFjrvQ21J1fv9lE0ikYiGDRtGIpFI55+rPiUeVx5b3SRPAopLUtn/b0vzPDU2thXFEIpSvV8oce7cOemqPmU2bdqETZs2afS85RdKaF7pXwv2UDzhKgaQiJr8a+Hu3bsYOXIkbt26haZNm6JNmzYqz9aJxeIKH5WWnp6OgwcPwtvbG2+88QYvjmCMMaYjwZAsRFwH2UUTiQBmQps7T1Sm3gd1uhIQEICAgACYm5sjKytLC2cQQ7Jtyf6S18JyZYDkh0vz+9VZWlrit99+w7Zt23Dr1i1kZ2fDxcUFn332GQ4dOoTz58/j/Pnz+P333zF79mw8ePAA7dq1AxHhxIkTVT7v1q1b8ccff0AkEmHHjh0a/ESMMcaYOoIBHILkvnU7SO6hC4M2/s9VBwd1dVrpXws/AGhaJl+7fy08f/4cf/31F2bNmoVWrVpBX18fCQkJ2LJlC7799lsAwLvvvovVq1djz549MDU1lW5pUh2nT59GcnIy/vnnH+lTPhhjjDHdEKOibUt0gYM6LdH+5ddSwQBOASjd2HhwyXvt/bVQUFCABQsWSB+jpkhGRgY+/vhjhWU7duyQmWkr/14ZY2NjNGzYED///LP6nWaMMcbquXq/+lVXtL9PXVllAzjdT/9qmkAggJ2dHZYuXYpnz57h2LFjuu4SY4wxVuvwTF29kAug4sUgdZmjoyPi4uKQkJCACRMm8O7mjDHGmAIc1LFaLz4+XmYFs4WFhQ57wxhjjNVOfPlVS7S/+TBjjDHG2H84qNOSmr2njjHGGGMvOw7qGGOMMcbqAQ7qGGOMMcbqAQ7qtITvqWOMMcZYTeKgTktq9J46fQCLS5K+9k/HGGOMsdqHgzrGVBAaGoo1a9aofVyzZs1AROjUqZMWeqXYokWLcP369Wq3Y2lpiZSUFDRr1kwDvdKMoKAgBAdX7/F3NjY2ePLkCZo0aaKhXjHGWO3AQV19UHbfYUfUyD7Er7zyCn744Qc8fPgQ+fn5ePToEQ4fPgx3d3eV2wgKCgIRgYhQWFiI+Ph4BAQEoGHDhjL1YmNj4efnJ5O3evVqZGVloX///gAkQZeXl1e1Pxf7z/z583HkyBHEx8cD+C9ATUlJgZmZmUzd69evY9GiRbroptpSU1Oxa9cuLFmyRNddYYwxjeKgrq5zAjC9zPtxAGaW5GtJs2bNEBERAXd3d3z22Wfo2LEjBg8ejNDQUGzcuFGtto4fPw5bW1s0b94ckyZNwvDhwxEQEKC0vlAoxIYNGzB+/Hi4u7sjNDS0uh9Ha/T16+61cCMjI3z88cfYunWrXJm5uTk+/fRTHfRKc4KCgjBmzBi5PyAYY6wu46CuLnMCMAqAebn8BiX5WgrsAgICQETo0aMHfv/9d9y/fx93797FmjVr0KtXLwBAYGAgjhw5InOcSCRCcnIyvL29pXkvXrxASkoKkpKScOrUKezduxcDBw5UeF4DAwP89ttv6NevH/r27Yvw8HClfVy0aBHi4+ORn5+PpKQkrFu3rsK6169fx9ixYxEbG4vMzEzs2bNHbjZKT08P69evR0ZGBtLS0rB06VKZ8tjYWCxcuBBBQUHIzMzEli1b5M4lEAjw008/4Z9//oGjo6PSPpVycHDAwYMHkZ2djWfPnmHv3r1o3LixTJ3PP/8cjx8/RlZWFrZu3QojIyO5diZMmIC7d+8iLy8PUVFR8PHxqfC8b731FoqKinDlyhW5svXr12P27NmwsbFRejwRYcSIETJ5GRkZ0tnU0lm/999/H+fPn0dubi6uXr2KNm3awMXFBdeuXUN2djaOHz8Oa2trufa/+uorpKSk4NmzZ9i8ebNMAD1o0CCEhYVJv09HjhxBy5YtZY6/c+cOHj9+DE9PzwrHgTHG6hIO6rRE66tfBQAGl3ldvgwl5Rq+FNuoUSMMHjwYGzduRG5urlz5s2fPAABbt27F4MGDYWtrKy0bMmQIzMzMsG/fPoVtt2jRAoMHD0ZhYaFcmZmZGY4ePQpnZ2cMHjwY0dHRSvv47rvvYtasWZg6dSratGmDkSNH4vbt2xV+rlatWmHkyJEYNmwYhg0bBjc3N8ybN0+mjpeXF4qKitCzZ0/873//w6xZszBp0iSZOnPnzsWdO3fQrVs3uaBPX18f+/btg4uLC/r06YNHjx5V2CcAOHjwICwtLeHm5gYPDw+0atUKe/fulZa///77WLJkCRYuXAgXFxckJyfD19dXpo1JkyZh2bJlWLhwIZycnLBgwQIsXboU48ePV3reioLmPXv24MGDB/jqq68q7X9llixZgm+++QZdu3ZFUVER9uzZg5UrV8LPzw+urq5o1aoVvv76a5ljBgwYACcnJ/Tv3x+jR4+Gp6enzKVfU1NT+Pv7o3v37hgwYADEYjGCg4NlHjUHAFevXoWrq2u1PwNjjNUmxEl7ydzcnIiIzM3N5cqaNWtGO3fupGbNmqnfdnMQFquQmmv283Tv3p2IiEaOHFlp3Tt37tDcuXOl7w8cOEDbtm2Tvg8KCqLCwkLKzs6m3NxcKjVz5kyZdmJjYyk/P59SU1PJxsaGLCwsKjzvrFmzKDo6mvT09FT6TIsWLaLnz5+TmZmZNO+7776jy5cvS9+HhoZSZGSkzHHLly+XyYuNjaUDBw7IfY+JiN544w06efIkhYWFUYMGDVTq15tvvkmFhYXUtGlTaZ6TkxMREbm4uBAAunjxIgUEBMgcd/nyZbp+/br0fXx8PH344YcydRYuXEgXL16UO2fp2AYHB9PWrVsVfpZOnTrRwIED6cWLF9SyZUsCQNevX6dFixZJ6xIRjRgxQub4jIwM8vLykmlr4sSJ0vIPPviAiIj69+8vzfv8888pKipK5mcmLS2NjI2NpXlTp06lrKwsEggECsfR2tqaiIicnZ1l8r///nv6888/lY5/tX4/yyWRSETDhg0jkUhU7bY48bjy2NbtpM7YVhRDKEo8U1dXmVVeRa16Kiqd7SCiSutu3bpVeqnVxsYGQ4cOxbZt22TqhIaGonPnzujZsyd++OEHhISEYP369XJtnTx5EqampliwYEGl5/3tt99gbGyMmJgY/PTTTxg5ciREIlGFx8TFxeH58+fS98nJyXKXOctfirx8+TLatGkDofC/X6OKZrfMzMwwcOBAZGVlVfoZAMDJyQkJCQlITEyU5kVFRSEjIwNOTk7SOpcvX5brVylra2s4OjoiMDAQ2dnZ0vTFF1+gVatWSs9tbGyM/Px8peUnT57EhQsX5GYj1XXr1i3p65SUFACQmVVNSUmR+z7cvHkTeXl50veXL1+Gubk5HBwcAAAtW7bEL7/8gocPH+LZs2eIjY0FALnL3Xl5eTAxMalW/xljrDbhoK6uel55FbXqqej+/fsQi8XSoKIiO3fuRMuWLdGrVy+MHTsWcXFxuHDhgkydnJwcPHz4ELdv34afnx8MDQ0VrqI8c+YM3n77bUyZMgUrV66s8LyJiYl49dVXMW3aNOTl5SEgIADnz5+Hnp6e0mPKX/IlIplgTVU5OTkK848dO4bXXntNes+hKgQCgcLgWVm+IqWfYfLkyejcubM0dejQocK+pKWloVGjRhW2PW/ePHzwwQfo3LmzXJlYLJa73Klo4UjZcS/9TOXzVP0+lB5/5MgRWFlZYfLkyejZsyd69uwJQHJPZlmWlpZITU1VqW3GGKsLOKirq+IBPINkwlURKimP1+xpMzIycOLECUybNk3hLIeFhYX0dXp6Og4ePAhvb294e3sjKCio0vaXLFmCTz/9FHZ2dnJlp0+fxrBhwzBmzBhs2LChwnby8/Nx5MgR+Pn5oV+/fujduzc6duyowidUrnwQ1KtXL2mQW5lNmzZh3rx5OHz4MPr27avS+e7evQtHR0c0bdpUmufk5ISGDRsiKioKgGTmTlG/Sj158gSJiYlo2bIlHj58KJPi4uKUnvv69eto3759hf27du0aDhw4gBUrVsiVpaamynwPW7duDVNT0wrbU1WnTp1kFoP06tUL2dnZSExMhKWlJdq3b49vvvkGf/75J6Kjo5UGpx06dNDIfn6MMVZbcFBXVxGAkDKvy5ehpFy1CR21+Pr6QiQS4erVq3jnnXfQunVrtGvXDjNmzJC7FLh161Z4eXnByckJO3bsqLTtc+fOITIyUull1tDQUHzwwQfw8vJSun2Kl5cXJk6cCGdnZ7Ro0QLjxo1Dbm6udL+1qnJwcMD333+Ptm3b4sMPP8SMGTMqXFVb3oYNG/DFF1/gjz/+wBtvvFFp/dOnT+PWrVv45Zdf0KVLF3Tv3h07d+7E2bNnERERAQBYt24dJk6cCG9vb7Rp0waLFy+Gs7OzTDuLFy/G/Pnz8b///Q9t2rRBhw4dMGHCBMyaNUvpuU+cOAFnZ+dKt/xYuHAh3N3d8eqrr8rk//nnn5g+fTq6dOmCbt26YfPmzSgoKKj0M6vCwMAAgYGBcHJywuDBg7FkyRJs2LABRCRd8TplyhS0atUK/fv3h7+/v1wbxsbG6NatG06ePKmRPjHGWG3AQV1dFgVgH4DscvlZJflR2jltXFwcunbtitDQUHz//fe4c+cOTp06hQEDBshtlXH69GkkJyfjxIkTSE5OVql9f39/TJ48WWaGqqwLFy5gyJAhGDduHDZt2iRXnpmZicmTJ+PixYu4desWBgwYgOHDhyM9PV39D1vGzp07YWxsjKtXr2Ljxo1Yv349fvrpJ7XaWLduHRYtWoRjx47h9ddfr7T+yJEjkZGRgfPnz+P06dOIiYnBBx98IC3ft28fvv76a3z33XeIiIhAs2bN5MYkMDAQkyZNwoQJE3D79m2cO3cOEyZMkN5rpsidO3cQHh6OUaNGVdi/+/fvY9u2bTA2NpbJnzNnDhISEnD+/Hns3r0bq1evVrhauirOnDmD+/fv4/z589i3bx+OHDmCxYsXA5Bcgv3www/RrVs33LlzB2vWrMHcuXPl2hgxYgQePXokdzsAY4zVdTpfCVKfk9ZWv5ZNBvhvtWsrEAS6/9ylydjYmDIyMsjT01NjbVa2+pWTZsb2rbfeosjISKWrSuty+uuvv2j06NEV1uHVr7U/8bjy2NbFpM3Vr8rvHGfV4uvri2nTplXpZnu1UZnXj8q91xGBQABbW1vMmTMHz549w+HDh3XdJaam48ePo02bNrC3t5dZgVvX2djYYP/+/dizZ4+uu8IYYxrFQZ2WBAQEICAgAObm5ipvYVFlhQAWa/cU6nJ0dERcXBwSEhIwYcIEFBcX67pLtc5HH32EH3/8UWFZfHw8OnToUMM9kvfDDz/ougsal5qailWrVum6G4wxpnEc1DGtiI+Pl9vSgsk6fPgw/vrrL4Vlip6qwRhjjFWEgzrGdOT58+cyGx4zxhhj1cGrXxljjDHG6gEO6hhjjDHG6gEO6hhjjDHG6gEO6lRkbGyMuLg4XjXHGGOMsVqJgzoVLVy4UOlKRV0zMQToF0kyMdR1bxhjjDGmCxzUqaD02abHjh3TdVdYHRIbGws/P78aO5+bmxuICBYWFtVu69y5cxg9erQGelW5RYsW4fr161o/z7Rp03Do0CGtn4cxxnSl3gd1rq6uOHz4MJKSkkBEGDFihFwdHx8fxMTEIC8vD+Hh4ejTp49M+erVqzF//vya6rLahGW2g3N9Vfa9trzyyiv44Ycf8PDhQ+Tn5+PRo0c4fPgw3N3dVW4jKCgIRAQiQmFhIeLj4xEQECD3EHlFwdHq1auRlZWF/v37AwBCQ0Ph5eVV7c/FgKFDh8LW1ha//vqrTH7nzp2xb98+PH78GHl5efjnn3/w008/oU2bNiq3rex3sCZs2bIF3bt3xxtvvKGT8zPGmLbV+6DO1NQUN2/exPTp0xWWjxo1CmvXrsWyZcvQpUsXhIWF4fjx43BwcAAAvP3227h37x7u379fk91WmacLEFXmNr+Qz4G4dZJ8bWnWrBkiIiLg7u6Ozz77DB07dsTgwYMRGhqKjRs3qtXW8ePHYWtri+bNm2PSpEkYPnw4AgIClNYXCoXYsGEDxo8fD3d3d4SGhlb342icvr6+rrtQLf/73/+kAXepoUOH4sqVKzA0NMSYMWPg5OSEcePG4dmzZ1i6dKkOe6u6goIC7N69GzNmzNB1VxhjTGt0/nDbmkpERCNGjJDJu3LlCgUEBMjk3b17l7799lsCQN9++y09evSIYmNjKTU1lTIzM+nLL79Ueg4DAwMyNzeXpiZNmhARUcOGDUkkEsmkli1bVuuB4Z4uoOKfJYl++S8V75LkebpoZxyPHj1KCQkJZGJiIldW+kD4wMBAOnLkiEyZSCSi5ORk8vb2JgAUFBREwcHBMnVWr15NaWlpMnmxsbHk5+dHBgYG9Pvvv1NCQgI5OTnJ1AkNDSUvLy/p+0WLFlF8fDzl5+dTUlISrVu3rsLPNHz4cLp27Rrl5eVRamoq/f777wSAvvzyS7p165Zc/fDwcFqyZInM55g3bx4lJSVRbGysTL9Lj5kwYQJlZmbSm2++WekYGxgY0Lp16yglJYXy8vIoLCyMXFxcZOq89dZb9M8//1Bubi79+eef5OXlRUQk/R4AoNdff53OnTtHubm59OjRI1q3bp3C7xsAEggE1KJFCyouLqb27dtL842NjenJkyd04MABhceVnu/+/fs0Z84cmTJnZ2cqLi6mli1bUmxsLJVVOk6LFi2i69ev09ixYyk2NpYyMzNpz549ZGZmpvJ4uLm5ERGRu7s7Xbt2jXJycujixYvUtm1bmf707duX8vPzycjIqNLvQbNmzWjnzp3UsmVLud9ddZOBgQG9/fbbZGBgUO22OPG4qpOEQn0SCt1JIPiIhEJ3Egr1eWx1nNQZ24YNGxIRkbm5uUr/P7/UT5TQ19dHt27dsGLFCpn8kydPonfv3gCABQsWYMGCBQAALy8vdOjQocKZifnz52Px4sVy+R4eHsjLy5PJs7a2hrGxMczNzdW+D0ooIKyfkA2A5C63CoWAmIAfvAQ4+8AcYtLc9diGDRti8ODBWLp0KfT19RX228LCAr/++iuOHTuGtm3bIiUlBQDw1ltvwczMDCdOnICFhQUMDAxk2mjWrBmGDBmCoqIimXaFQiGsra1x4sQJ2Nvbw9PTE//++69MHT09PZiYmMDCwgJvv/02Zs2ahY8//hjR0dFo3LgxOnTooHSMBw4ciN27d+P777+Hr68vDAwMMHDgQFhYWGD//v1YtGgR+vXrJ73vy9nZGV26dMHEiROln2PAgAHIz8/HO++8A4FAAAsLCwiFQhgbG8PCwgLTp0/H7Nmz8e677yI8PLzS7/eKFSvw9ttvw9fXFwkJCfDz88PJkyfRpUsXZGZmwt7eHgcOHEBQUBACAwPRpUsXfPfdd9LxB4D27dvjxIkT+PbbbzFz5kxYW1tj1apV+OmnnzBt2jSF5+3Xrx9yc3NlxnfYsGGwsbFBQECA0n5bWFhg9+7d+Pjjj7F161Zpvo+PDy5fvoynT59iwIABePjwIXx9fXH69GkUFxfDwsICRkZGaNWqFd5//32MHj0aDRs2RFBQEBYtWoRvvvlGpfEwMzOT1lu0aBHS0tKwZs0a7NixA4MHD5b25/79+9DX14e7uzsuXrxY4ffA3NwcxsbG6Nu3L9LS0iqsWxmRSISuXbtCIBDwc5A1iMe1YsnJryMycjLy820AAESAkVEqnJ23wM7ucoXH8thqjzpja2xsrHb7WpnNqY2p/EydnZ0dERG9/vrrMvXmz59P0dHRcsd7eXnRqlWrKjxHTc3UuTnJzs4pS25Omh3D7t27ExHRyJEjK617584dmjt3rvT9gQMHaNu2bdL3QUFBVFhYSNnZ2ZSbmyudwZk5c6ZMO7GxsZSfn0+pqanUuHFjsrCwIIFAoPS8s2bNoujoaNLT01PpM128eJF27dqltPzo0aO0ceNG6Xt/f3/6888/ZT5HcnIy6evry/Xbz8+Pvv32W0pKSqIOHTqo1B8TExN68eIFjR49Wpqnp6dHiYmJ9OmnnxIAWrZsGUVGRsoct3z5cpmZuh07dtDmzZtl6rzxxhtUVFREhoaGcucVCAQ0b948evDggUz+3LlzpT/DFfXb1taWCgsLqXv37tI+p6Sk0Pjx45X+DgKSmbrnz5/LzMx99913dPnyZZXHo+xMXWmdt956i4hI7rM+ffpUpk/KEs/U1f7E46o8CYXvElBckqhMkuQJhe/y2Ooo8UydlpW9dwgABAKBXB4A7Nixo9K2CgoKUFBQAF9fX0ybNg1CoeS2xeLiYrmIvDp//dg11Gw9VQkEklk/ReNT3tatWzFlyhSsWrUKNjY2GDp0KAYMGCBTJzQ0FD4+PjAxMcGkSZPQtm1brF+/Xq6tkydP4s0335TOhFZ0/t9++w0zZ85ETEwMQkJCcOzYMRw5ckTpeHfu3BlbtmxR2t6WLVuwbds2zJ49G8XFxRgzZgzmzJkjU+f27dsoLCyUO3bOnDkwNTWFi4sLYmNjlZ6jrFatWsHAwEBmJqmoqAhXr16Fk5MTAMDJyQlXrlyROe7yZdm/vLt164bWrVtjzJgx0jyBQACRSIQWLVogOjpapj4RwcjICPn5+TL5pd/zyjx+/BhHjx7FxIkTce3aNQwbNgxGRkb47bffKj02Li5O5jm4ycnJaNy4MQDVxqPUrVu3ZNoAgMaNGyMhIUGan5eXBxMTE5U+E6D4d7cqxGKxxtpi/+FxVUQIYE2Z1+XLxBCL/QEEAxArbYXHVntUHVt1x77eL5SoSFpaGoqKimBrayuT37hxY+klw6oKCAiAs7MzevToUa12lEnO1Gw9Vd2/fx9isVjuP1NFdu7ciZYtW6JXr14YO3Ys4uLicOHCBZk6OTk5ePjwIW7fvg0/Pz8YGhpi0aJFcm2dOXMGb7/9NqZMmYKVK1dWeN7ExES8+uqrmDZtGvLy8hAQEIDz589DT0/x3zDlL4uXd+TIEbx48QKenp4YPnw4DA0N8fvvv8t9DkXCwsIgEokwatSoCs9RlrLAuewfG6oEWkKhED/++CM6d+4sTZ06dULr1q3x8OFDhcc8ffoUjRo1ksm7d+8eAKBdu3aVnnPr1q348MMPYWRkBG9vb+zdu7fS8QUgFxATkfQPIlXGQ1E7pWWl7ZSytLREampqpX1irO5yBeAA5f/FCwE4ltRj9clLHdQVFhYiIiICHh4eMvkeHh64dOmSjnqlmrBoIOEpIFbyR5ZYDDxKk9TTpIyMDJw4cQLTpk1TONtR9p6r9PR0HDx4EN7e3vD29kZQUFCl7S9ZsgSffvop7Ozs5MpOnz6NYcOGYcyYMdiwYUOF7eTn5+PIkSPw8/NDv3790Lt3b3Ts2FFh3Vu3bsnNIJZVXFyMHTt2SD/Hr7/+qlKgAgBXr17F4MGDsWDBAnz66acqHfPgwQO8ePFCZmsdPT09uLi4ICoqCgBw9+5d9OrVS+a48u///vtvODs74+HDh3JJ0awiIBkLW1tbmW1lTp48idTUVHz22WcKjyn7PT927BhycnLg4+ODt956C9u2bZOpW1BQAJFIVPkglKHKeKiqZcuWMDY2rpF98RjTHfl/P6tXj9UV9T6oMzU1RadOndCpUycAQIsWLdCpUyfpliX+/v6YNGkSvL290a5dO/j7+8PR0RGbN2+u1nl9fX0RGRmJq1evVvszKCImwG8nAIF8YCcWS/Jn7pLU0zRfX1+IRCJcvXoV77zzjnRz5hkzZshdAty6dSu8vLzg5OSk0uXrc+fOITIyUro4pbzQ0FB88MEH8PLyUrp9ipeXFyZOnAhnZ2e0aNEC48aNQ25uLuLj4xXWX7JkCUaPHo3FixejXbt26NChA+bOnSv3Odzd3RUGKpW5cuUK3nrrLXz11VeYOXNmpfVzc3OxadMmrFq1CoMGDYKTkxO2bNkCExMTBAYGAgA2b96MVq1a4fvvv0fbtm0xevRoTJgwQaad7777Dq+//jo2bNggnaEbPnw4fvjhB6XnvnXrFlJTU2X2csvNzcWkSZMwdOhQHDp0CAMGDECzZs3QrVs3fPfddzK/K2KxGNu3b8fy5cvx4MEDuUvEcXFxGDBgAF555RW5/QirMx6qcnV1xcOHDxETE6PWcYzVLckarsfqEpVuvqurqfQG6vKCgoKkdXx8fKQ344eHh5Orq6vGzm9ubq70JsfSG7GruqUJINm2JGG97OKI+HXa286kNNna2tL69eul45aQkEAHDx4kNzc3ubqxsbH0xx9/yOUr2tIEAI0ePZry8/OpadOm0uPLbg1iYWFBrq6ulJWVRZs2bZI7fsSIEXT58mXKzMyk7OxsunTpkswN9ArH0dOT/v77b8rPz6cnT57Q/v375eqcO3eO7ty5o/LnKN9vV1dXys7OphkzZlQ6voaGhrRu3Tp68uSJ0i1Nhg4dSvfu3aO8vDw6d+4cTZgwQW5LExcXFzpx4gRlZWVRdnY23bhxg+bPn6/0vBYWFvTtt9/S7t275cq6detG+/fvl24rcu/ePdq8eTO1atVKpl6LFi2IiKSLGMqmYcOG0b1796igoEBuS5Oy9fz8/KTlqoxH6e952c/eqVMnIiKZ36+QkBD6/PPPVfoZ18TvZ2kSiUQ0bNgwEolEWvl9fFkTj6uyJCTgEckvkii7WCK+pB6PbU0ndca2ohhCSdL9B6yPydfXlyIjIykqKkqrQR0AMjP6L6Ab9BpIKND95y9NxsbGlJGRQZ6enhprs+x/3DWZoqOjadasWTofU20mCwsLaty4MaWmppKjo2OV2ujduzcVFBRQ48aNdf55yiZnZ2d6/PgxNWjQQKX6HNTV/sTjWlHypIpWv0rKeWx1kbQZ1NX7y6+6ou2FEmWVvcQa9o92LrmqSyAQwM7ODkuXLsWzZ89w+PBhXXepymxsbDB79mzY29urdF9gXffkyRN8/PHHcHR0VOs4AwMDtGrVCkuXLsW+ffvw5MkTLfWwapo0aYLx48cjKytL111hrAYEA3gPQFK5/MSS/OAa7xHTPt7SpB7IfQEIxlReryY5OjoiLi4OCQkJmDBhQp1eEv/kyROkpqZiypQpyMzMrHZ7Dg4OuHv3rtLy9u3by2zBoQtVCcJHjx6NwMBA3LhxA+PGjdNCr6rn1KlTuu4CYzUsGMAhSFa52kFyD10YKtrGhNVtHNRpSfl96l428fHxKu9vVttp+nP8+++/6Ny5c4XlddGOHTtUWgzDGKtJYgDndN0JVkM4qNOSgIAABAQEwNzcnC/3MBnFxcVK94ljjDHGqurlnEZijDHGGKtnOKhjjDHGGKsHOKjTEm1vPswYY4wxVhYHdVpSk1uaMMYYY4xxUMcYY4wxVg9wUFcPmBgagn7dC/p1L0wMDXXdHVYNbm5uICJYWFjorA/nzp3D6NGja+RcixYtwvXr17V+nmnTpuHQoUNaPw9jjOkSB3VaUpP31AnL7KPm2q6dzHtteeWVV/DDDz/g4cOHyM/Px6NHj3D48GG4u7ur3EZQUBCICESEwsJCxMfHIyAgQO5B77GxsfDz85PJW716NbKystC/f38AQGhoKLy8vKr8efT19TF37lzcuHEDOTk5SE1NxYULFzBhwgTo6am2849QKMS8efMQFRWF3NxcPH36FJcvX8aECROq3K+aNmjQINja2uLXX3+Vye/cuTP27duHx48fIy8vD//88w9++ukntGnTRuW2iQgjRozQdJdVsmXLFnTv3h1vvPGGTs7PGGM1gYM6Lampe+o8u/dA1Pf+0vch8xcgbsMGeHbX3nmbNWuGiIgIuLu747PPPkPHjh0xePBghIaGYuPGjWq1dfz4cdja2qJ58+aYNGkShg8fjoCAAKX1hUIhNmzYgPHjx8Pd3R2hoaHV/TjQ19fHiRMnMG/ePPz000/o3bs3evTogY0bN2LGjBlwdnZWqZ3Fixdj5syZ+PLLL9G+fXv0798fW7ZsQaNGjardR03S19dXWjZ16lRpsF1q6NChuHLlCgwNDTFmzBg4OTlh3LhxePbsGZYuXVoTXa62goIC7N69GzNmzNB1VxhjTKt0/nDb+pwqehhvdR8Y7tm9BxXv+ZWK9/xK9OteaSrevYeK9/xKnt17aOUzHT16lBISEsjExESuzMLCggBQYGAgHTlyRKZMJBJRcnIyeXt7EwAKCgqi4OBgmTqrV6+mtLQ0mbzY2Fjy8/MjAwMD+v333ykhIYHatWsnUyc0NJS8vLyk7xctWkTx8fGUn59PSUlJtG7dOqWfZ+7cuVRUVESdO3eWK9PT0yMTExMaN24cpaWlkYGBgUz5/v37aceOHQSArl+/Tl999VWFY2dgYEDr1q2jlJQUysvLo7CwMHJxcZGWu7m5ERGRhYUFNWjQgHJzc2nQoEGy33dPT3r+/DmZmpoSAGrSpAn9+uuvlJ6eTmlpaXTw4EGZn6nScZ43bx4lJSVRbGyswr5ZWVlRcXExtW/fXppnbGxMT548oQMHDig8pvT7ff/+fZozZ45MmbOzMxUXF1PLli0pNjaWyirtw6JFi+j69es0duxYio2NpczMTNqzZw+ZmZmpPWbu7u507do1ysnJoYsXL1Lbtm1l+tO3b1/Kz88nIyMjlX7Oq/v7Wf5nnx+OrvnE48pjWxeTOmNbUQyhKPFMXR0lFAiwboKX9LVMmVAIEGGtl5fGL8U2atQIgwcPxsaNG5GbmytX/uzZMwDA1q1bMXjwYNja2krLhgwZAjMzM+zbt09h2y1atMDgwYNRWFgoV2ZmZoajR4/C2dkZgwcPRnR0tNI+vvvuu5g1axamTp2KNm3aYOTIkbh9+7bS+mPGjMHp06dx48YNubKioiLk5ubit99+g0gkwttvvy0ts7KywrBhwxAUFAQAePz4Mdzd3WFtba30XCtXrsS7774LLy8vdO3aFQ8ePMCJEycUzuZlZWXh6NGjGDNG9sG+H330EQ4dOoScnBwYGxsjNDQUz58/R9++fdGnTx88f/4cISEhMjNyAwYMgJOTEzw8PDBs2DCFfevTpw9yc3MRFRUlzRs0aBBsbGywcuVKhceUfr+3bdsGb29vmbKJEyciLCwMMTEx6N69OwBgwoQJsLW1lb4HgFatWmHkyJEYNmwYhg0bBjc3N8ybN0/tMVu2bBnmzJkDFxcXFBUVYdu2bTLl4eHh0NfX5xXpjLF6TedRa31O2pqpc2vfXmZ2TllyKzProonUvXt3IiIaOXJkpXXv3LlDc+fOlb4/cOAAbdu2Tfo+KCiICgsLKTs7m3Jzc6WzODNnzpRpJzY2lvLz8yk1NZVsbGyks0PK0qxZsyg6Opr09PRU+kw5OTm0du3aSutt3LiRjh49Kn3/v//9jx48eCB97+TkRJGRkVRUVEQ3b96kTZs20eDBg6XlJiYm9OLFCxo9erQ0T09PjxITE+nTTz+VfF/LzNQBoJEjR1JWVhYZGxtLf55yc3PprbfeIgDk7e1NUVFRMv3U19ennJwc8vDwkI5zcnIy6evrV/j5/Pz8KCYmRiZv7ty5RETUsGHDCo+1tbWlwsJC6t69u/RzpaSk0Pjx46V1iIhGjBghc9yiRYvo+fPnMjNz3333HV2+fFntMXN3d5fWeeutt4iIyNDQUOZ8T58+lelTRYln6mp/4nHlsa2LiWfqmBy7cosJqltPVaUPty97z5UyW7dulc7e2NjYYOjQoXKzJ6GhoejcuTN69uyJH374ASEhIVi/fr1cWydPnoSpqSkWLFhQ6Xl/++03GBsbIyYmBj/99BNGjhwJkUhU4WdS5fNs2bIFAwcORJMmTQAA3t7e2L59u7Q8KioKHTp0QK9evRAUFIRXXnkFR44cwZYtWwBIZqQMDAxw8eJF6TFFRUW4evUqnJycFJ7z6NGjKCoqks4Qvvvuu8jOzsbJkycBAN26dUPr1q2RnZ0tTenp6TAyMkKrVq2k7dy+fVvhDGhZxsbGyM/PlxsbVTx+/BhHjx7FxIkTAQDDhg2DkZERfvvtt0qPjYuLw/Pnz6Xvk5OT0bhxYwDqjdmtW7dk2gAgbadUXl4eTExMVPpMjDFW13BQpyXaXv2anJmp0Xqqun//PsRisdIgpKydO3eiZcuW6NWrF8aOHYu4uDhcuHBBpk5OTg4ePnyI27dvw8/PD4aGhli0aJFcW2fOnMHbb7+NKVOmKL0UWCoxMRGvvvoqpk2bhry8PAQEBOD8+fNKV7Heu3dPpc9z48YN3Lx5E+PHj0eXLl3QsWNHmaAOkAS74eHhWLt2Ld555x1MmDABkyZNQvPmzZUGxBUFlYWFhdi/fz8++ugjAJJLr3v37kVxcTEAyaX2iIgIdO7cWSa1bdsWu3fvlraTk5NT6edLS0uTW3l87949AEC7du0qPX7r1q348MMPYWRkBG9vb+zduxd5eXmVHlc+2CQiyS0EUP5HhKIxK9tOaVlpO6UsLS2RmppaaZ8YY6wyQgHg5gR8+Lrkq1D7G09U3iddd6C+0vbq17CoKCQ8TYNYLFZYLhaL8SgtDWFl7o/ShIyMDJw4cQLTpk1TOONRdn+19PR0HDx4EN7e3vD29pbee1aRJUuW4NNPP4WdnZ1c2enTpzFs2DCMGTMGGzZsqLCd/Px8HDlyBH5+fujXrx969+6Njh07Kqy7e/duvPnmm+jcubNcmUgkkvmcpbOPEydOxOnTp5GYmFhhP+7evQsAMDU1xYMHD/DixQv06dNHWq6npwcXFxeZ+9jK++WXXzB48GDpitpffvlFWvb333+jTZs2ePLkCR4+fCiTsrKyKuxbedevX8crr7wiE9idPHkSqamp+OyzzxQeU/b7fezYMeTk5MDHxwdvvfWW3KxsQUFBhTOmilR1zBRp2bIljI2Na2RfPMZY/ebpAsStA85+AeyZLvkat06Sr0sc1NVRYiL4bd8BCARygZ1YLAYEAszcsQNiFS4rqsvX1xcikQhXr17FO++8g9atW6Ndu3aYMWMGLl++LFN369at8PLygpOTE3bs2FFp2+fOnUNkZKTSy6yhoaH44IMP4OXlpXT7FC8vL0ycOBHOzs5o0aIFxo0bh9zcXMTHxyusv3btWly8eBFnzpyBr68vXnvtNbRo0QLvv/8+/vrrL5m92H755RfY29tj8uTJckHLb7/9hpkzZ6JHjx5wdHSEm5sbNm7ciH/++QfR0dHIzc3Fpk2bsGrVKgwaNAhOTk7YsmULTExMEBgYWOGYpKSk4JdffkFcXBz++usvmf6kpaXh0KFD6NOnD5o3b46+ffti7dq1sLe3V9qmItevX0daWprMXm65ubmYNGkShg4dikOHDmHAgAFo1qwZunXrhu+++w6bN2+W1hWLxdi+fTuWL1+OBw8e4MqVKzLtx8XFYcCAAXKBY0WqOmaKuLq64uHDh4iJiVHrOMYYK8vTBdg/E7C3lM23byTJ12Vgx0FdHRZ87Sre8/fHvxkZMvmJ6el4z98fwde0c+k3Li4OXbt2RWhoKL7//nvcuXMHp06dwoABA+Dj4yNT9/Tp00hOTsaJEyek9zlVxt/fH5MnT0bTpk0Vll+4cAFDhgzBuHHjsGnTJrnyzMxMTJ48GRcvXsStW7cwYMAADB8+HOnp6QrbKygogIeHB1auXImpU6fiypUruHbtGv73v//hhx9+wJ07d6R1s7Oz8fvvv+P58+c4ePCgTDsnTpzA8OHDceTIEdy7dw87duxAdHQ0Bg4cKL1cOm/ePPz+++/YtWsX/v77b7Ru3RqDBg1CZiWXyffs2YPOnTvLzNIBknvE+vbti0ePHuHAgQOIiorCtm3bYGxsrPZMnVgsxs8//yy32vbw4cPo3bs3CgsLsXv3bkRHR2PPnj2wsLDAF198IVM3MDAQhoaGcgEvAMyZMwceHh5ISEhQa7asqmNW3ujRo6X3NzLGWFUIBcC68f+9likTAiBg7TjdXorV+UqQ+py0uU9daTIzMpKudh3UqRMJBQKdf+7SZGxsTBkZGeTp6amxNitb/artdPLkyQr3vavLqXXr1pSamkqOjo5VOr53795UUFBAjRs31vlnKZucnZ3p8ePH1KBBA5WP4dWvtT/xuPLY1nRycwLRL5UnNyfNjK26q19Ve/4Rq9XKXmINi47WyiVXdQkEAtja2mLOnDl49uwZDh8+rOsuVVujRo0wcOBAuLu7Y/r06brujlakpqbi448/hqOjIx49eqTycQYGBnBwcMDSpUuxb98+PHnyRIu9VF+TJk0wfvx4tWcvGWOsLLuGmq2naRzU1QO5L15A8OEHuu6GDEdHR8TFxSEhIQETJkyQXn6sy/7++280atQIn3/+uXRVaH1UlQB89OjRCAwMxI0bNzBu3Dgt9Kp6Tp06pesuMMbqgeRMzdbTNA7qmFbEx8ervMdZXdGiRQtdd6HW2rFjh0oLYRhjrC4LiwYSnkoWRQgVrEoQi4HEdEk9XeCFElqi7X3qGGOMMVazxAT47QQgkARwMmViSf7MXZJ6usBBnZZoe586xhhjjNW84HDgvbVAUoZsfmK6JD84XBe9kuDLrzpUuuu9uhuyMsa0r/QJJKo8Qo4x9nIJDgcORQCu7SSLIpIzJZdcdTVDV4qDOh3Kzs4GIHk+JW+IyljtUvpotLS0NB33hDFWG4kJOKfZhzZVGwd1OpSZmYno6GiMGjUK6enpePHiha67VCeYm5ur/EQCph4eW8kMXbt27TBq1CicPXsWubm5uu4SY4yphIM6HSIibNmyBcuWLZPbmZ8pZ2xsrNKD4pn6eGz/c/bsWZWeV8wYY7UFB3U6lpqaCl9fX9ja2vK9dSoQiUTo27cvzp8/Xy/2vqtNeGwliAhpaWk8Q8cYq3M4qKuEmZkZ/vzzT+jr60MkEuGHH37A1q1bNXqOoqIiJCYmarTN+kokEiEtLQ3x8fEvdeChDTy2jDFWt3FQV4nc3Fy4ubkhLy8PxsbGuHPnDg4cOKD04fCMMcYYY7rA+9RVQiwWS+8xMjIygkgkqndPSmCMMcZY3VfvgzpXV1ccPnwYSUlJICKMGDFCro6Pjw9iYmKQl5eH8PBw9OnTR6bcwsICN27cQGJiIlauXImnT5/WVPcZY4wxVhsJADQH0KHkay2Y76n3QZ2pqSlu3ryJ6dOnKywfNWoU1q5di2XLlqFLly4ICwvD8ePH4eDgIK3z7NkzdO7cGS1atMBHH32Exo0b11T3GWOMMVbbOAGYCWACgPdKvs4sydehen9PXUhICEJCQpSWz549G4GBgQgMDAQAzJo1C4MGDYKPjw8WLFggU/fJkye4desW+vbti/379ytsz8DAAIaGhtL35ubmACQ3ofPq1uoTiUQQCoU8llrAY6s9PLYVIxICcAWRLQSCxwDCIBCIKzuMx1WLeGyVo3YE8XsKfj4bABgFCPcLIYhWPm2nztiqO/71PqiriL6+Prp164YVK1bI5J88eRK9e/cGIHnaQ15eHrKzs2Fubo6+ffti06ZNStucP38+Fi9eLJfv4eHB+39pgEgkQteuXSEQCHiFpobx2GoPj61yycmvIzJyMvLzbQAARICRUSqcnbfAzu5yhcfyuGoPj61iBMKZ184gH/nyl1sFAAgweNsAA1oMgEDJ9Vh1xtbY2Fit/r3UQZ21tTX09PSQkpIik5+SkgJbW1sAQNOmTREYGAiBQACBQIANGzbg9u3bSttcvnw5/P39pe/Nzc2RlJSEU6dOSR8LxqpOJBKBiBASEsL/0GgYj6328NgqRjQSYvE8ufz8fCtERMyDUDgKAsFBpcfzuGoPj61i1IwgdqlgFlkA5Bvm4/jd4xDEKw/qVB3b0qt9qnqpg7pS5R/YLRAIpHl///03unTponJbBQUFKCgogK+vL6ZNmwahUHLbYnFxMf9iaIhYLObx1BIeW+3hsS1PCGBNmdfly8QQi/0BBANQ/p8oj6v28NgqYKJaNbGJGKhg2FQdW3XHvt4vlKhIWloaioqKpLNypRo3biw3e6eugIAAODs7o0ePHtVqhzHG6idXAA5Q/t+QEIBjST3GaonnGq6nYS91UFdYWIiIiAh4eHjI5Ht4eODSpUs66hVjjL0M7DRcj7EaEA/gGQBSUk4l5fE11iMZ9f7yq6mpKVq3bi1936JFC3Tq1Anp6elISEiAv78/du3ahfDwcFy+fBlTpkyBo6MjNm/eXK3zlr/8yhhjrKxkDddjrAYQgBAAo0peC8qVoaRcWdCnZfU+qHNxccHZs2el79eskdzDsX37dnh7e2Pfvn2wsrLCV199BTs7O9y5cwdDhgzBo0ePqnXegIAABAQEwNzcHFlZWdVqizHG6p8wAAkA7KH4opEYQGJJPcZqkSgA+wAMBmBRJj8LkoAuShedkqj3Qd25c+cqfazXpk2bKtympCp4po4xxioiBuAHYH/Ja2G5MkCym2vl+9UxVuOiAEQDaAbADJJ76OKhsxm6UhxxaAkvlGCMscoEQ7Idf1K5/MSS/OAa7xFjKiMAcQDulHzVcUAHvAQzdYwxxmqzYACHIFnlagfJPXRh4Bk6xtTHQZ2W8OVXxhhTlRjAOV13grE6jyMOLeHLr4wxxhirSRzUMcYYY4zVAxzUMcYYY4zVAxzUaYmvry8iIyNx9epVXXeFMcYYYy8BlRZKzJgxQ+2Gg4KC8Py5jh5+Vgvw5sOMMcYYq0kqBXVr165FYmIiiouLVWrUwcEBf/zxx0sd1DHGGGOM1SSVtzRxcXFBamqqSnV5ZooxxhhjrGapdE/dkiVL1Jp1+/bbb5Genl7lTtUHfE8dY4wxxmqSSkHd119/jby8PJUbXbFiBZ49e1blTtUHvE8dY4wxxmqS2qtfjYyMYGxsLH3v6OgIPz8/eHh4aLRjjDHGGGNMdWoHdYcOHcL48eMBABYWFvjrr78wZ84cHDp0CJ988onGO8gYY4wxxiqndlDXtWtXhIWFAQDee+89pKSkoFmzZhg/fjz+97//abyDjDHGGGOsciqvfi1lYmKC7OxsAMDAgQNx4MABEBGuXLmCZs2aqdSGgYEBevTogebNm8PExASpqam4fv064uLi1O0OY4wxxhhDFYK6Bw8eYOTIkQgODsagQYOwZs0aAEDjxo0r3crk9ddfx4wZMzBy5EgYGBggMzMTeXl5sLS0hKGhIWJiYvDTTz9h8+bNdX6PO19fX0ybNg1CIT+0gzHGmG4IBYBrO8CuIZCcCYRFA2LSda+YtqgdcXz99ddYvXo14uLi8Ndff+HKlSsAJLN2169fV3rcwYMHsX//fiQlJWHQoEEwNzeHtbU1HBwcYGpqijZt2uCbb77BgAEDcO/ePbz55ptV/1S1AK9+ZYwxpkueLkDcOuDsF8Ce6ZKvcesk+ax+Unum7vfff4ejoyPs7Oxw8+ZNaf6ZM2cQHBys9LiTJ0/i/fffR2FhocLy2NhYxMbGYufOnWjfvj2aNGmibtcYY4wxBkngtn+mfL59I0n+e2uB4PAa7hTTOrWDOgBISUlBSkqKTN61a9cqPCYgIAAAIBQK0adPH9y6dQuZmZkK6969exd3796tStcYY4yxl5pQAKwb/99rmTIhIBYDa8cBhyL4Umx1CAUCuDo5wa5hQyRnZiIsKgpi0u2Aqh3UGRoaYsaMGejfvz8aN24sd89Yt27dKjxeLBbjxIkTcHJyUhrUMcYYY6xqXNsBDlbKy4VCwNFaUu9cVM31qz7x7N4D6yZ4wcHKWpqX8DQNftt3IPia7p4kpXZQt23bNnh4eGD//v24evUqqApR6e3bt9GyZUte7coYY4xpmF1DzdZjsjy798D+2bPl8u0bWWL/7Nl4z99fZ4Gd2kHd0KFDMWTIEFy6dKnKJ124cCFWr16NL7/8EhEREcjJyZEpL90yhTHGGGPqSc7UbD32H6FAgHUTvKSvZcqEQojFYqz18sKh8Gs6uRSrdlCXlJRU7aArJCQEAHD48GGZmT6BQAAigp5elW71Y4wxxl56YdFAwlPJoghFu2qJxUBiuqQeU4+rk5PMJdfyhEIhHK2t4erkhHM6WBugdvQ0Z84cfPfdd/jkk0/w6NGjKp20f//+VTquLuF96hhjjOmCmAC/nZJVrmKxbGAnFgMQADN38SKJqrBr2FCj9TRN7aAuPDwcRkZGiImJQW5urtwWJVZWFdydWeL8+fPqnrbOCQgIQEBAAMzNzSvdlJkxxhjTpOBwybYl68bLLppITJcEdLydSdUkq7jAU9V6mqZ2ULdnzx7Y29tjwYIFSElJqdJCCQDo06cPpk6dipYtW+L999/Hv//+i7FjxyI2NhYXL16sUpuMMcYYkwgOl2xbwk+U0JywqCgkPE2DfSNLhVfixGIxEtPTERalm2XFagd1vXv3xuuvv45bt25V+aTvvPMOdu3ahV9++QVdu3aFoaEhAMDc3BwLFizA0KFDq9w2Y4wxxiTExNuWaJKYCH7bd2D/7NkQi8UygZ1YLAYEAszcsUNn+9WpfcNXdHQ0jI2Nq3XSL774Ap988gmmTJkic/n20qVL6Nq1a7XaZowxxhjTluBrV/Gevz+SMtJl8hPT03W6nQlQhZm6efPm4fvvv8fChQtx+/ZtuXvqVFkZ++qrryq8ry4rKwsNdXRzIWOMMcaYKoKvXcWh8Gt1/4kSpduRnDlzRiZfne1IkpOT0bp1a8THx8vk9+nTBzExMep2iTHGGGOsRomJdLJtSUXUDuo0sR3Jjz/+iHXr1mHixIkgIjRp0gSvv/46Vq9eja+//rra7WtS06ZNsWvXLjRu3BhFRUVYunQp9u/fr+tuMcYYY4zJUDuo08R2JKtWrYKFhQVCQ0NhZGSE8+fP48WLF1i9ejU2btxY7fY1qaioCDNnzsTNmzdhY2ODv//+G8eOHUNubq6uu8YYY4wxJqXSQomOHTtCUO5xGBVp3749RCJRhXW++OILWFtbo0ePHujVqxdsbGzw1VdfqXyOmvL48WPcvHkTAJCamor09HRYWlrquFeMMcYYY7JUCuquX7+u0qbCpS5fvgxHR0el5YGBgTAzM0NeXh4iIiJw7do15OTkwMTEBIGBgSqfRxWurq44fPgwkpKSQEQYMWKEXB0fHx/ExMQgLy8P4eHh6NOnj8K2unXrBqFQiMTERI32kTHGGGOsulS6/CoQCLB06VKVLzkaGBhUWO7l5YV58+bh+fPnMvnGxsYYP348Pv74Y5XOowpTU1PcvHkTQUFBOHDggFz5qFGjsHbtWvj6+uLixYuYOnUqjh8/jvbt2yMhIUFaz9LSEjt37sSkSZM01jfGGGOMMU1RKag7f/48Xn31VZUbvXz5MvLy8uTyzc3NIRAIIBAIYG5ujvz8fGmZSCTCkCFD8OTJE5XPo4qQkBDpil1FZs+ejcDAQOkM4axZszBo0CD4+PhgwYIFACRBanBwMJYvX47Lly9XeD4DAwPpZsqA5DMDks9X2SVpVjmRSAShUMhjqQU8thUjEgJwBZEtBILHAMIgEIhVOpbHVjt4XCtHAgIcATIjCJ4LgEeAgCq/nYrHVnvUGVt1x1+loE4TK14BIDMzE0QEIsK9e/fkyokIixYt0si5VKGvr49u3bphxYoVMvknT55E7969pe+3b9+OP//8Ez///HOlbc6fPx+LFy+Wy/fw8FAY6DL1iEQidO3aFQKBAMXFxbruTr3CY6tccvLriIycjPx8GwAAEWBklApn5y2ws6v4Dz2Ax1ZbeFwrltwwGZGOkcg3kEygEAhGBUZwfuQMu0y7Co/lsdUedcZW3Yc9qL36tTr69+8PgUCAP//8E++++y7S0//bjbmgoADx8fFITk6usf5YW1tDT08PKSkpMvkpKSmwtbUFALzxxhv44IMPcOvWLYwcORIAMG7cONy5c0dhm8uXL4e/v7/0vbm5OZKSknDq1CmVNmZmFROJRCAihISE8D80GsZjqxjRSIjF8+Ty8/OtEBExD0LhKAgEBytsg8dWO3hclaN2BPF78jPJ+fr5iGgVAeF+IQTRymfseGy1R52xLb3ap6oaDepKt0Np0aIFHj16pLCOg4ODzL1sNYHK7QBdupEyAFy8eFGt6c+CggIUFBTA19cX06ZNkz4Xrri4mH8xNEQsFvN4agmPbXlCAGvKvC5fJoZY7A8gGEDFl2J5bLWDx1UBAYCBZV6XLyNAPFAM3JW8VobHVntUHVt1x17tZ79qQkxMDGxsbOTyLS0tERsbW2P9SEtLQ1FRkXRWrlTjxo3lZu/UFRAQAGdnZ/To0aNa7TDGdMkVgAOU/1MpBOBYUo+xWqIZAAvIB3SlBCXlzWqsR6yG6CSoU7bnnZmZmcziCW0rLCxEREQEPDw8ZPI9PDxw6dKlGusHY6y2qvi+I/XrMVYDzDRcj9UZNXr59fvvvwcgudz59ddfy2yRIhKJ0LNnT9y4cUOj5zQ1NUXr1q2l71u0aIFOnTohPT0dCQkJ8Pf3x65duxAeHo7Lly9jypQpcHR0xObNm6t13vKXXxljdZGq9/jW3L3AjFXqeeVV1KrH6owqBXVjx47FJ598ghYtWuD111/Ho0eP4Ofnh9jYWBw+fFjpcV26dAEgmanr2LEjCgoKpGUFBQW4efMmVq9eXZUuKeXi4oKzZ89K369ZI7k/Zvv27fD29sa+fftgZWWFr776CnZ2drhz5w6GDBmi9J4/VQUEBCAgIADm5ubIysqqVluMMV0JA5AAwB6KL2yIASSW1GOslogH8AxAAyi+BEsAskrqsXpF7aDuk08+wddff421a9di4cKF0kUEmZmZmDlzZoVBnbu7OwBg27Zt8PPzq5HVoOfOnav0EWebNm3Cpk2bNHpenqljrD4QA/ADsL/ktbBcGQDMRGWLJBirUQQgBMCokteCcmUoKa9gkQSrm9SOOGbMmIHJkyfj22+/lVmVER4ejo4dO6rUxsSJE5GdnY1WrVph4MCBMDIyUrcbtR4vlGCsvggG8B6ApHL5iSX5wTXeI8YqFQVgHyQzcmVlleRH1XiPWA1Qe6auRYsWuH79ulz+ixcvYGpqqlIbjRo1wm+//Yb+/fuDiNCmTRvExsZi69atyMzMxKeffqputxhjTIuCARyCZJWrHST30IWBZ+hYrRYFIBqSVa5mkNxDFw+eoavH1J6pi42NRefOneXy33rrLdy9e1elNtauXYvCwkI4OjrKLJbYu3cvBg8erG6XaiVfX19ERkbi6tWruu4KY0wjxADOAfi15CsHdKwOIABxAO6UfOWArl5Te6Zu1apV2LhxI4yMjCAQCNCjRw+MHj0a8+fPV/lh9wMHDsSgQYOQlCR7OeP+/fto1qx+bJzDCyUYY4wxVpPUDuq2b98OPT09rFy5EiYmJti9ezeSkpLg5+eHvXv3qtSGqampzAxdKWtra7x48ULdLjHGGGOMvfSqtDRz69ataN68ORo3bgxbW1s4Ojpi27ZtKh9//vx5jB8/XvqeiCAQCDB37lyEhoZWpUuMMcYYYy+1am0+/PTp0yodN3fuXJw9exYuLi4wMDDAypUr4ezsDEtLS7zxxhvV6VKtwVuaMMYYY6wmqR1xWFpaYsOGDYiMjERqaiqePn0qk1QRFRWF1157DVevXsWpU6dgamqKAwcOoEuXLoiJiVH7Q9RGvKUJY4wxxmqS2jN1P//8M1q1aoXAwECkpKSAqGpLaVJSUrB48eIqHcsYY4wxxmSpHdT16dMHffr0wa1btzTSARMTE3zwwQcwNjbGyZMn8eDBA420yxhjjDH2MlH78mt0dDSMjY2rdDIHBwecPXsWWVlZOHnyJBwcHPD3339j69atWL9+PW7cuAFXV9cqtV3b8D51jDHGGKtJagd1vr6+WLZsGfr27QtLS0uYm5vLpIqsXr0aBgYG8PHxQW5uLk6cOIH79+/Dzs4Or7zyCo4dO1ZvLsnyPXWMMcYYq0lqX37NzMyEhYUF/vzzT5l8gUAAIoKenvIm+/bti7fffhvXrl3DsWPHkJaWhokTJ+LJkycAgG+++QZnzpxRt0uMMcYYYy89tYO6X375BQUFBfjoo4/UXihhY2OD+Ph4AEBGRgZyc3ORkpIiLX/8+DEaNWqkbpcYY4wxxl56agd1HTp0QJcuXXDv3j21T1Y6m1eqqitnGWOMMcaYLLWDuvDwcDg4OFQpqAOAr7/+WvqIMAMDAyxcuBDPnj0DIFkJyxhjjDHG1Kd2ULd+/XqsW7cOq1atwu3bt1FYWChTfvv2baXHnj9/Hq+++qr0/aVLl9CyZUu5OvUBP1GCMcZUIxQAru0Au4ZAciYQFg2I+UIOY2pTO6jbu3cvAMg867X02a2VLZTo379/FbpYNwUEBCAgIADm5ubIysrSdXcYY6xW8nQB1o0HHKz+y0t4CvjtBILDddcvxuoitYO6Fi1aaKMfjDHGXjKeLsD+mfL59o0k+e+t5cCOMXWoHdQ9evRIG/1gjDH2EhEKJDN0pa9lyoSAWAysHQcciuBLsYypSqWgbvjw4Th+/DiKioowfPjwCuseOXJEIx1jjDFWf7m2k73kWp5QCDhaS+qdi6q5ftU3QoEArk5OsGvYEMmZmQiLioKYd56ot1QK6g4ePAhbW1ukpqbi4MGDSutVdk8dY4wxBkgWRWiyHpPn2b0H1k3wgoOVtTQv4Wka/LbvQPA1foRlfaTS0kyRSAQjIyPpa2WJAzrGGGOqSM7UbD0my7N7D+yfPRv2lrLTofaNLLF/9mx4dudHWNZHKu+3ERsbCxsbG42cdNCgQXjjjTek7319fXH9+nX88ssvaNiwoUbOwRhjrPYKi5aschWLFZeLxcCjNEk9ph6hQIB1E7ykr2XKhEKACGu9vOTKWN2nclAn0OA3f9WqVWjQoAEAyRMqvv/+exw7dgwtW7aEv7+/xs6jS76+voiMjMTVqzzFzRhj5YlJsm0JBPKBnVgsyZ+5ixdJVIWrkxMcrKyVBm1CoRCO1tZwdXKq4Z4xbdPJzrgtWrTA3bt3AQDvvvsu/vjjDyxcuBC+vr546623dNEljQsICICzszN69OApbsYYUyQ4XLJtSVKGbH5iOm9nUh12Kl7xUrUeqzvUuglu0qRJeP78eYV11q9fX2k7BQUF0keCvfnmm9i5cycAID09XTqDxxhjrP4LDpdsW8JPlNCc5MxMjdZjdYdaQd0nn3yC4uJipeVEpFJQd+HCBfj7++PixYvo0aMHPvjgAwBA27ZtkZiYqE6XGGOM1XFi4m1LNCksKgoJT9Ng38hS4aMqxWIxEtPTERbFg17fqBXUubi4IDU1tdonnT59OgICAvDee+/Bx8cH//77LwDgrbfeQkhISLXbZ4wxxl5WYiL4bd+B/bNnQywWywR2YrEYEAgwc8cO3q+uHlI5qCMNfvMTEhIUbmI8e/ZsjZ2DMcYYe1kFX7uK9/z95fapS0xPx8wdvE9dfaVyUFfd1a/m5ubIzs6Wvq5IaT3GGGOMVU3wtas4FH6NnyjxElE5qFuyZEmliyQqkpGRATs7O6SmpiIzM1PhzJ9AIKiVT6U4cOAA+vXrhzNnzuD999/XdXcYY4wxlYiJcK5ktwlW/6kcPX399dfVOpG7uzvS09MBAP37969WWzXthx9+wLZt2+Dl5aXrrjDGGGOMKVRjU2Lnz59X+LouOHv2LNzc3HTdDcYYY4wxpXSy+XBNcnV1xeHDh5GUlAQiwogRI+Tq+Pj4ICYmBnl5eQgPD0efPn100FPGGGOMsaqr90Gdqakpbt68ienTpyssHzVqFNauXYtly5ahS5cuCAsLw/Hjx+Hg4FDDPWWMMcYYq7oqXX4ViUTo168fWrVqhd27d+P58+ews7NDVlYWcnJyNN3HagkJCalw77vZs2cjMDAQgYGBAIBZs2Zh0KBB8PHxwYIFC9Q+n4GBAQwNDaXvS1f6ikQiiEQitdtjskQiEYRCIY9lBYiEAFxBZAuB4DGAMAgESp6aXgaPrfbw2GoHj6v28Nhqjzpjq+74qx3UOTo6IiQkBI6OjjA0NMSpU6fw/PlzfPbZZzAyMoKPj49KbTx58gT5+fnqnl6j9PX10a1bN6xYsUIm/+TJk+jdu3eV2pw/fz4WL14sl+/h4YG8vLwqtcn+IxKJ0LVrVwgEggqfbvKySk5+HZGRk5GfbwMAIAKMjFLh7LwFdnaXKzyWx1Z7eGy1g8dVe3hstUedsTU2NlarbbWDunXr1iE8PBydOnXC06dPpfnBwcHYunVrpccLBALcv38fzs7OePDggbqn1yhra2vo6ekhJSVFJj8lJQW2trbS9yEhIejatStMTU2RkJAAT09PhIcrftL08uXL4e/vL31vbm6OpKQknDp1ivff0wCRSAQiQkhICP9DUw7RSIjF8+Ty8/OtEBExD0LhKAgEB5Uez2OrPTy22sHjqj08ttqjzthWtq9veWoHdX369MEbb7yBwsJCmfz4+HjY29tXejwR4f79+7CystJ5UFeq/J55pfvllRo8eLDKbRUUFKCgoAC+vr6YNm2a9PEsxcXF/IuhIWKxmMdTjhDAmjKvy5eJIRb7AwgGoPxSLI+t9vDYagePq/bw2GqPqmOr7tirvVBC2XXgpk2bqjwT9dlnn2HVqlVwdnZW9/QalZaWhqKiIplZOQBo3Lix3OydugICAuDs7IwePXpUqx3GVOMKwAHKf6WFABxL6jFWywgANAfQoeRr9R5gxNhLS+2g7tSpU5g5c6b0PRHB1NQUS5YswbFjx1Rq4+eff0aPHj1w8+ZN5Obm4unTpzKpphQWFiIiIgIeHh4y+R4eHrh06VK12vb19UVkZCSuXuXn67GaYKfheozVECcAMwFMAPBeydeZJfmMMbWoffl11qxZCA0NRWRkJIyMjLB79260adMGaWlpGD16tEptlA0Ktc3U1BStW7eWvm/RogU6deqE9PR0JCQkwN/fH7t27UJ4eDguX76MKVOmwNHREZs3b67WeQMCAhAQEABzc3NkZWVV92MwVolkDddjrAY4ARilIL9BSf4+AFE12iPG6jS1g7rk5GR07twZo0ePRteuXSEUChEYGIhffvlF5dWsO3fuVLujVeXi4oKzZ89K369ZI7nvaPv27fD29sa+fftgZWWFr776CnZ2drhz5w6GDBmCR48e1VgfGau+MAAJAOyheAJeDCCxpB5jtYAAwOAyr8uXUUl5dMlrxlilqrRPXX5+PoKCghAUFFTlE7ds2RLe3t5o1aoV/Pz8kJqaikGDBiEhIQF3Nfjw4XPnzkEgqPgGjU2bNmHTpk0aOycAuYUSjGmXGIAfgP0lr4XlygDJNa3K96tjrEY0A2BRQbmgpLwZgLia6BBjdZ/aQd3w4cMV5hMR8vPz8eDBA8TFxVXYRt++fXH8+HFcvHgRffv2xcKFC5GamorXXnsNkyZNwvvvv69ut2odvvzKal4wJDclrYNk0USpREgCumAd9IkxJcw0XI8xpn5Qd/DgQRCR3OxXaR4R4cKFCxg5ciQyMzMVtrFixQp88cUXWLNmjUzAExoaCj8/P3W7xBiTCgZwCJJVrnaQ3EMXBp6hY7XOcw3XY4ypv/rVw8MD165dg4eHBywsLGBhYQEPDw9cvXoVw4YNQ9++fWFlZYXVq1crbaNjx44IDpafNUhNTYWVlZW6XaqVePUr0x0xgHMAfi35ygEdq4XiATyD8vvlqKQ8vsZ6xFidp3ZQt27dOsyePRt//vknnj9/jufPn+PPP//Ep59+ilWrVuHSpUuYOXOm3DYhZWVmZsLOTn5rhS5duiApKUndLtVKvE8dY4xVgACElHldvgwl5bxIgjGVqR3UtWrVSuE9YllZWWjZsiUA4P79+7C2tlbaxu7du/Hdd9/hlVdeARFBKBSid+/eWL16dY2ujGWMMaZDUZBsW1L+v5Qs8HYmjFWB2vfURUREYNWqVRg/fjzS0tIASJ6hunLlSly7dg0A0KZNGyQmJiptY+HChdi+fTuSkpIgEAhw9+5diEQi7N69G998800VPwpjjLE6JwqSbUuaQbIo4jkkl1x5ho4xtakd1H388cc4dOgQEhMTkZCQACKCo6MjYmJiMGLECACAmZkZli5dqrSNoqIijB07Fl999RW6dOkCoVCI69ev15pnwWoCb2nCGGMqIvC2JYxpgNpB3b179+Dk5IRBgwahbdu2EAgEiI6OxqlTp0Ak+dPq0KFDFbbRunVrPHjwADExMYiJialaz2s53tKEMcYYYzWpSpsPA8CJEydw4sSJKh37zz//IDk5GefOncO5c+dw9uxZ3Lt3r6pdYYwxxhh76VUpqDMxMYGbmxscHR1hYGAgU7Z+/fpKj7ezs4O7uzvc3Nwwa9YsbNq0CSkpKdIA78cff6xKtxhjjDHGXlpqB3WdO3fGsWPHYGJiAlNTU6Snp8Pa2hq5ubl48uSJSkHdkydP8Ouvv+LXX38FIFlR+8UXX2DMmDF4//3360VQx/fUMcYYY6wmqR1xrFmzBkeOHIGlpSXy8vLQq1cvNGvWDBEREfj0009VasPU1BSDBg3C8uXLcenSJdy+fRuvvfYa1q9fj3feeUftD1Eb8T51jDHGGKtJVZqpmzp1KsRiMYqLi2FoaIjY2Fh89tln2LFjh8InRZSXkZGB9PR07Nq1C9988w0uXLjAiwkYY4wxxqpB7Zm6wsJC6SrXlJQUODo6AgCePXsmfV2Zo0ePQiQSYdy4cRg/fjw++ugjtGvXTt2uMMYYY4yxEmoHddevX4eLiwsAIDQ0FF9//TU++ugjrF27Frdv31apDU9PT9jY2MDDwwMXLlzAgAEDcPbsWSQnJ2PPnj3qdokxxhhj7KWn9uXXBQsWwNzcHADw5ZdfYseOHdi0aRMePHgAb29vtdq6ffs2RCIR9PX1YWhoiMGDB9ebe+oYY4wxxmqS2kFdamoqIiMjAQBpaWkYOnSo2iedOXMm+vXrB1dXV5ibm+PGjRs4d+4cfvzxR5w/f17t9mojXv3KWP0iFACu7QC7hkByJhAWDYj5UVaMsVpEraBOIBDg/v37cHZ2rtYjvcaMGYOzZ89iy5YtOH/+PLKzs6vcVm3FT5RgrP7wdAHWjQccrP7LS3gK+O0EgsN11y/GGCtLraCOiHD//n1YWVlVK6jr3r17lY9ljLGa5OkC7J8pn2/fSJL/3loO7BhjtYPa1wY/++wzrFq1Cs7OztU6sYWFBWbPno0tW7bgp59+wqxZs9CgQYNqtckYY5okFEhm6Epfy5QJARCwdpx8GWOM6YLaQd3PP/+MHj164ObNm8jNzcXTp09lkiq6deuGhw8fYtasWbC0tIS1tTVmzZqFhw8fokuXLmp/CMYY0wbXdpJLrsqCNqEQcLSW1GOMMV1Te6HEzJkzq33SNWvW4PDhw5g8eTKKi4sBACKRCFu3bsXatWvh5uZW7XMwxlh12TXUbD2mmFAggKuTE+waNkRyZibCoqIgJl6Fwpi61A7qdu7cWe2Turi4yAR0AFBcXIyVK1ciPJxvTmGM1Q7JmZqtx+R5du+BdRO84GBlLc1LeJoGv+07EHztqg57xljdU6X9Nlq2bImlS5di9+7dsLGxAQAMGjQI7du3V+n4rKwshU+fcHBwqJcrYRljdVNYtGSVq1isuFwsBh6lSeox9Xl274H9s2fD3tJKJt++kSX2z54Nz+787GzG1KF2UNe3b1/cvn0bPXv2xDvvvAMzMzMAwGuvvYYlS5ao1MbevXsRGBiIUaNGoWnTprC3t8cHH3yArVu31psnSvj6+iIyMhJXr/JfmozVVWKSbFsCgXxgJxZL8mfu4v3qqkIoEGDdBC/pa5kyoRAgwlovL7kyxphyagd1K1aswBdffIGBAweioKBAmh8aGorXX39dpTY+/fRTHDhwADt37kRcXBzi4+Oxfft27N+/H59//rm6XaqVAgIC4OzsjB49+C9Nxuqy4HDJtiVJGbL5iem8nUl1uDo5wcHKWmnQJhQK4WhtDVcnpxruGWN1l9r31HXs2BEfffSRXH5qaiqsrKwUHCGvsLAQM2fOxPz589GqVSsIBAI8ePAAhYWFsLOzQ0JCgrrdYowxrQkOBw5F8BMlNMmuYUON1mOMVSGoy8zMhJ2dHeLi4mTyu3TpgqSkJLXaysvLw507d6TvX3vtNfz999/Q01O7W4wxplViAs5F6boX9UdyZqZG6zHGqnD5dffu3fjuu+/wyiuvgIggFArRu3dvrF69WiMrYxljjNV/YVFRSHiaBrGSVShisRiP0tIQFsWRNGOqUjuoW7hwIR49eoSkpCSYmZnh7t27OH/+PC5duoRvvvlGG31kjDFWz4iJ4Ld9ByAQyAV2YrEYEAgwc8cO3q+OMTWoHdQVFRVh7NixaNu2LUaNGoWxY8eiXbt2GD9+vNK/uBhjjLHygq9dxXv+/kjKSJfJT0xPx3v+/rxPHWNqUvvmtb59++L8+fOIiYlBTEyMWsd27NixwvJXX31V3e7UiKFDh+L777+HUCjEd999h8DAQF13iTHG6oXga1dxKPwaP1GCMQ1QO6g7deoUHj9+jN27d+Pnn39GZGSkysfeuHEDRASBgiXspflUy36RRSIR/P390b9/f2RlZeHvv//GgQMHkJGRUfnBjDHGKiUmwrm7d3XdDcbqPLWDuiZNmuDDDz/E6NGj8dlnn+HOnTv4+eefsXv37kpXv7Zo0aLKHdWVHj16IDIyEv/++y8A4NixYxg0aBB+/fVXHfeMMcYYY+w/at9T9/TpU2zcuBF9+vRBq1atsHfvXowfPx5xcXE4c+ZMhcc+evRIpaRJrq6uOHz4MJKSkkBEGDFihFwdHx8fxMTEIC8vD+Hh4ejTp4+0rEmTJjLBamJiIuzt7TXaR8YYY4yx6qrSs19LxcXFYcWKFZg3bx5u374NNzc3pXUdHBzUartJkybV6ZqUqakpbt68ienTpyssHzVqFNauXYtly5ahS5cuCAsLw/Hjx6X9VXapmDHGGGOsNqnyLr+9e/fGmDFj8N5778HIyAiHDx/GggULlNa/du0aDh8+jC1btuDatWsK6zRo0ACjRo2Cn58ffvzxR2zYsKGq3ZMKCQlBSEiI0vLZs2cjMDBQuvhh1qxZGDRoEHx8fLBgwQIkJSXJzMw1bdoUf/31l9L2DAwMYGhoKH1vbm4OQHJvnkgkqu7HqTeIhABcQWQLgeAxgDAIBJWvnhaJRBAKhTyWWsBjqz08ttrB46o9PLbao87Yqjv+agd1y5Ytw+jRo9GkSROcPn0aM2fOxMGDB5GXl1fhcU5OTliwYAFCQkJQWFiI8PBw/Pvvv8jPz0ejRo3Qvn17ODs7Izw8HHPnzq0wENMUfX19dOvWDStWrJDJP3nyJHr37g0AuHr1Kjp06IAmTZogKysLQ4YMwddff620zfnz52Px4sVy+R4eHpWO0csiOfl1REZORn6+DQCACDAySoWz8xbY2V2u8FiRSISuXbtCIBCguLi4Jrr70uCxrRiB8NT8KV7ov4BhoSGssq0ggGoPm+ex1Q4eV+3hsdUedcbW2NhYrbbVDur69euH1atXY+/evXj69KlMWadOnXDz5k2Fx2VkZGDu3Ln44osvMGTIELi6uqJ58+YwNjZGWloafvnlF5w4cUKt1bTVZW1tDT09PaSkpMjkp6SkwNbWFgBQXFyMOXPmIDQ0FEKhECtXrkR6erqi5gAAy5cvh7+/v/S9ubk5kpKScOrUKWRnZ2vng9QhRCMhFs+Ty8/Pt0JExDwIhaMgEBxUerxIJAIRISQkhP+h0TAeW+WoHUE8UAxYlMl8BghPCiGIrjyw47HVDh5X7eGx1R51xrb0ap+q1A7q3njjDZn3DRo0wJgxYzBp0iR06tSp0ue2vnjxAsHBwQgODlb31FpT/h658lurHDlyBEeOHFGprYKCAhQUFMDX1xfTpk2DUCi5bbG4uJh/MSAEsKbM6/JlYojF/gCCASi/FCsWi3k8tYTHVgEnAO8pyG8AiN8TA/sAqPAkKx5b7eBx1R4eW+1RdWzVHfsqL5To378/du3aheTkZMyYMQPHjh2Di4tLVZvTibS0NBQVFUln5Uo1btxYbvZOXQEBAXB2dkaPHj2q1U794grAAcp/7IQAHEvqMVYLCAAMLvO6fBlKylW7CssYY1qlVlBnb2+PhQsX4uHDh9izZw8yMjKgr6+Pd999F19++SVu3LihpW5qR2FhISIiIuDh4SGT7+HhgUuXLlWrbV9fX0RGRuLqVX7MzX/sNFyPMS1rBsklV2VBm6CkvFmN9YgxxpRSOag7evQo7t69i/bt22PGjBlo0qQJ/ve//2mzbxphamqKTp06oVOnTgAkGyB36tRJumWJv78/Jk2aBG9vb7Rr1w7+/v5wdHTE5s2bq3VenqlTJFnD9RjTMjMN12OMMS1S+Z66gQMH4ocffsCmTZvw4MEDbfZJo1xcXHD27Fnp+zVrJPd0bd++Hd7e3ti3bx+srKzw1Vdfwc7ODnfu3MGQIUM0vgkyA4AwAAkA7KH47wkxgMSSeozVAs81XI8xxrRI5Zk6V1dXmJubIzw8HFeuXMG0adNgbW2tzb5pxLlz5yAQCOSSt7e3tM6mTZvQokULGBkZwcXFBWFh1Q8q+PKrImIAfmVely8DgJkKyhjTkXgAzwAo22+cSsrja6xHjDGmlMpB3ZUrVzBlyhTY2dnhxx9/xIcffoikpCQIhUJ4eHjAzIyvP5TFl1+VCYZkKWH55wQnluTXnlXRjIEAhJR5Xb4MJeX8kBnGWC2g9urXvLw8BAUFwdXVFR07dsT333+PefPm4cmTJzh06JA2+sjqnWAAzQH0AzC65GsLcEDHaqUoSLYtySqXnwWVtzNhjLGaUK1nv967dw+ff/45mjZtitGjR2uqT/UCX36tjBjAOQC/lnzlS66sFosCsBbAdgD7S76uBQd0jLFapVpBXSmxWIxDhw5hxIgRmmiuXuDLr4zVMwQgDsCdkq98yZUxVstoJKhjjDHGGGO6xUEdY4wxxlg9wEGdlvA9dYwxxhirSRzUaQnfU8cYY4yxmqTyEyVYfSME4ArJc1aTIXmKA69AZYwxxuoqDupeSp4A1gFwKJOXAMnTHnivOMYYY6wu4suvWlJ776nzhGSjLfty+fYl+Z413iPGGGOMVR8HdVpSO++pE0IyQ1f6unwZINlRlX8sGGOMsbqG//d+qbhCcslV2bddCMCxpB5jjDHG6hIO6l4qdhquxxhjjLHagoO6l0qyhusxxhhjrLbg1a91mrrbkoRBssrVHorjeTGAxJJ6jDHGGKtLeKZOS7S/+tUTkqeKnwWwp+RrHCpevSqGZNuS0tflywBgpoIyVpcIBYCbE/Dh65KvQoGue8QYY6wm8EydlgQEBCAgIADm5ubIysrScOul25KUV7otyXtQvt9ccEl5+X3qEiEJ6HifurrM0wVYNx5wsPovL+Ep4LcTCA7XXb8YY4xpH8/U1Tma2JYkGEBzAP0AjC752gIc0NVtni7A/pmAvaVsvn0jSb6niy56xRhjrKZwUFfnaGpbEjGAcwB+LfnKl1zrMqFAMkNX+lqmTAiAgLXj+FIsY4zVZxzU1Tm8LQmT59pOcslVWdAmFAKO1pJ6rGqEAgHc2rfHh717w619ewgFHCEzxmoXvqeuzuFtSZg8u4aarcdkeXbvgXUTvOBgZS3NS3iaBr/tOxB8rbY9CpAx9rLimbo6p3RbEmWXS8UAHoG3JXm5JGdqth77j2f3Htg/ezbsLa1k8u0bWWL/7Nnw7F6bHgXIGHuZcVCnJdrb0oS3JWHywqIlq1zFSr7tYjHwKE1Sj6lOKBBg3QQv6WuZMqEQIMJaLy++FMsYqxU4qNOSgIAAODs7o0cPbfwVX7otSVK5/ERUvJ0Jq6/EJNm2BAL5wE4sluTP3CWpx1Tn6uQEBytrpUGbUCiEo7U1XJ2carhnjDEmj4O6Oou3JWGygsOB99YCSRmy+Ynpknzep059dg0barQeY4xpEy+UqNNKtyVhTCI4HDgUIVnlatdQcg9dWDTP0FVVcmamRusxxpg2cVDHWD0jJuBclK57UT+ERUUh4Wka7BtZSu6hK0csFiMxPR1hUTzgjDHd48uvjDGmhJgIftt3AAIBxOVuVhSLxYBAgJk7dkBMPBXKGNM9DuoYY6wCwdeu4j1/fyRlpMvkJ6an4z1/f96njjFWa/DlV8YYq0Twtas4FH4Nrk5OsGvYEMmZmQiLiuIZOsZYrcJBnQoOHDiAfv364cyZM3j//fd13R3GmA6IiXDu7l1dd4MxxpTiy68q+OGHHzB+/Hhdd4MxxhhjTCkO6lRw9uxZZGdn67objDHGGGNK1fmgztXVFYcPH0ZSUhKICCNGjJCr4+Pjg5iYGOTl5SE8PBx9+vTRQU8ZqyECSPal7lDylZ9gxRhjL4U6f0+dqakpbt68iaCgIBw4cECufNSoUVi7di18fX1x8eJFTJ06FcePH0f79u2RkJAAAAgPD4ehoaHcsQMHDkRycrLWPwNjGuMEYDAAizJ5zwCEAOCt1BhjrF6r80FdSEgIQkJClJbPnj0bgYGBCAwMBADMmjULgwYNgo+PDxYsWAAAcHFx0Vh/DAwMZAJEc3NzAIBIJIJIJNLYeV5WIpEIQqGQx1IBakcQvyeWL2gAYBQg3C+EIFr5tB2Prfbw2GoHj6v28Nhqjzpjq+741/mgriL6+vro1q0bVqxYIZN/8uRJ9O7dWyvnnD9/PhYvXiyX7+Hhgby8PK2c82UiEonQtWtXCAQCFBcX67o7tQaBcOa1M8hHvvzlVgEAAgzeNsCAFgMgUHI9lsdWe3hstYPHVXt4bLVHnbE1NjZWq+16HdRZW1tDT08PKSkpMvkpKSmwtbVVuZ2QkBB07doVpqamSEhIgKenJ8LDFT8dffny5fD395e+Nzc3R1JSEk6dOsWLLTRAJBKBiBASEsL/0JRBzQhiFwWzdKUEQL5hPo7fPQ5BvPKgjsdWO3hstYPHVXt4bLVHnbEtvdqnqnod1JWichuECgQCubyKDB48WOW6BQUFKCgogK+vL6ZNmyZ9XmRxcTH/YmiIWCzm8SzPRLVqYhMxUMGw8dhqD4+tdvC4ag+PrfaoOrbqjn2dX/1akbS0NBQVFcnNyjVu3Fhu9k7TAgIC4OzsjB49emj1PIwBAJ5ruB5jjLE6p14HdYWFhYiIiICHh4dMvoeHBy5duqTVc/v6+iIyMhJXr/JzIVkNiIdklauyCWgqKY+vsR4xxhirYXX+8qupqSlat24tfd+iRQt06tQJ6enpSEhIgL+/P3bt2oXw8HBcvnwZU6ZMgaOjIzZv3qzVfgUEBCAgIADm5ubIysrS6rkYA0GybcmokteCcmUoKedHlTLGWL1V54M6FxcXnD17Vvp+zZo1AIDt27fD29sb+/btg5WVFb766ivY2dnhzp07GDJkCB49eqSjHjOmJVEA9kF+n7os8D51jDH2EqjzQd25c+cgEFS8Zf6mTZuwadOmGuqRRPmFEozViCgA0QCaATCD5B66ePAMHWOMvQQ44tASXijBdIYAxAG4U/KVAzrGGHspcFDHGGOMMVYPcFCnJbz6lTHGGGM1iYM6LeHLr4wxxhirSRzUMcYYY4zVAxzUaQlffmWMMcZYTeKgTkv48itjjDHGahIHdYwxxhhj9QAHdYwxxhhj9QAHdYwxxhhj9QAHdVrCCyUYY4wxVpM4qNMSXihRMaEAcHMCPnxd8lVY8eN7GWOMMVYJPV13gL18PF2AdeMBB6v/8hKeAn47geBw3fWLMcYYq8t4po7VKE8XYP9MwN5SNt/eUpLv6aKLXjHGGGN1Hwd1rMYIBcC6j/97Xb4MANZO5EuxjDHGWFVwUKcltX6hhABAcwAdSr7WQCDl6gQ4NFAetAkFgKOFpB5jjDHG1MP31GlJQEAAAgICYG5ujqysLO2cRACgGQAzAM8BxAMgFY5zAjAYgEWZvGcAQgBEabiPZdi1VqPeXe31gzHGGKuPOKirq6oamDkBGKUgv0FJ/r5Kjq+G5CLN1mOKCQUCuDo5wa5hQyRnZiIsKgpiUiXaZ4wxVpdxUFcXVTUwE0ASCJa+Ll9GJeXRUG3GT01hUUBCIWCvp/gSrJiAxCJJPVY1nt17YN0ELzhYWUvzEp6mwW/7DgRfq6W3AjDGGNMIvqeurqksMENJuaL71ppBMrOn7P45QUl5s2r2UQlxHOAXX/K6XNBY+n5mvKQeU59n9x7YP3s27C2tZPLtG1li/+zZ8OzOeyYyxlh9xkFdXVOdwMxMxXOoWk9dBAT/CryXDCSVu8SaWCTJD/4VWpklrO+EAgHWTfCSvpYpEwoBIqz18pIrY4wxVn/w5de6pjqB2fP/XgoBuBoDdiIguRgIywPECuppXBQQvA04NBhwtS1z/seAWMsLNeozVycnmUuu5QmFQjhaW8PVyQnn7vIqFMYYq484qKtrVA24FNWLB/AM8GwCrLMBHPT/K0ooBPxSgeB/S+ppUxQgjgbOVWXlLlPIrmFDjdZjjDFW9/DlVy3R2j51JYGZ0gCISsoVBWYEeMYC++0kixXKsteT5HvGVtC2JhGAOAB3Sr5yQFctyZmZGq3HGGOs7uGgTksCAgLg7OyMHj00fHM6QbJtCQAhAW7GwIdmkq/C0sAoBAqDJKEAWOf+3+vyZQCwtj8/0aEuCouKQsLTNIjFYoXlYrEYj9LSEBbF17cZY6y+4qCuLooCPG8Ccc2Bs02BPXaSr3HNJfnK7ktzbQc4WFXyRAdrST1Wt4iJ4Ld9ByAQyAV2YrEYEAgwc8cO3q+OMcbqMQ7q6iBPF2D/e4C9vmy+vZ4k39NF8XF2DVVrX9V6rHYJvnYV7/n7IykjXSY/MT0d7/n78z51jDFWz/FCiTpGKADWjf/vtUyZEBCLgbXjgEMR8nvBJWeqdg5V67HaJ/jaVRwKv8ZPlGCMsZcQB3V1TOklVGWEwv8uoZ4rdxk2LBpIeArYN5LUK08sBhLTJfVY3SUm4m1LGGPsJcSXX+uY6lxCFRPgtxOAQBLAyZSJJfkzd8nP8DHGGGOs9uOgro6p7iXU4HDgvbVAUoZsfmK6JD84vOp9Y4wxxpju8OXXSjRt2hS7du1C48aNUVRUhKVLl2L//v06648mLqEGh0vuuXNtJ5nRS86U1OcZOsYYY6zu4qCuEkVFRZg5cyZu3rwJGxsb/P333zh27Bhyc3N10p/SS6j7Z0oCuLKBnTqXUMUkf88dY4wxxuouvvxaicePH+PmzZsAgNTUVKSnp8PS0lKnfeJLqIwxxhgrr84Hda6urjh8+DCSkpJARBgxYoRcHR8fH8TExCAvLw/h4eHo06dPlc7VrVs3CIVCJCYmVrfb1RYcDjT3A/p9A4zeIPnaYiYHdIwxxtjLqs5ffjU1NcXNmzcRFBSEAwcOyJWPGjUKa9euha+vLy5evIipU6fi+PHjaN++PRISEgAA4eHhMDQ0lDt24MCBSE5OBgBYWlpi586dmDRpknY/kBr4EipjjDHGStX5oC4kJAQhISFKy2fPno3AwEAEBgYCAGbNmoVBgwbBx8cHCxYsAAC4uCh5BEMJAwMDBAcHY/ny5bh8+XKldcsGiObm5gAAkUgEkUik0mdiyolEIgiFQh5LLeCx1R4eW+3gcdUeHlvtUWds1R3/Oh/UVURfXx/dunXDihUrZPJPnjyJ3r17q9zO9u3b8eeff+Lnn3+utO78+fOxePFiuXwPDw/k5eWpfE6mmEgkQteuXSEQCFBcXKzr7tQrPLbaw2OrHTyu2sNjqz3qjK2xsbFabdfroM7a2hp6enpISUmRyU9JSYGtra1Kbbzxxhv44IMPcOvWLYwcORIAMG7cONy5c0dh/eXLl8Pf31/63tzcHElJSTh16hSys7Or9kGYlEgkAhEhJCSE/6HRMB5b7eGx1Q4eV+3hsdUedca29Gqfqup1UFeKyj33UiAQyOUpc/HiRbWmPwsKClBQUABfX19MmzYNwpI9R4qLi/kXQ0PEYjGPp5bw2GoPj6128LhqD4+t9qg6tuqOfZ1f/VqRtLQ0FBUVyc3KNW7cWG72TtMCAgLg7OyMHj16aPU8jDHGGGNAPQ/qCgsLERERAQ+P/7d370FR3VccwL/Lw4pklagRogLiE5AIBMWEoNhWbGo7UazVmNqqHWOjSYQYm0YbX9NEYzW+XU2sotZo1EyMmUaszShq1AoIggLGREEeKrKyuAsCUvb0j5Sty0MW2GXZm+9n5sy4997fvWfPXtfj73Iv0WbLo6OjcfbsWZsee86cOcjMzERSUpJNj0NEREQEKODyq7u7O/r372967efnh+DgYJSUlCA/Px9r1qzB3//+d6SkpODcuXOYNWsWfHx8sHXrVpvmpdFooNFooFarodfrbXosIiIiIodv6oYOHYrExETT67Vr1wL4/o7VGTNm4MCBA+jWrRsWL16MJ598EpcvX8bYsWORl5dnp4yJiIiIrM/hm7qTJ09CpVI9cpstW7Zgy5YtbZTR9+reKEFERERkS+w4bIQ3ShAREVFbcviZOnJMTioVRgQE4EkPD9wqLcXp7GwYLXzMDBEREdXHps5GePm1cTHDwrF++jR4d+tuWpZ/V4vYnbtwKJl3CxMREbUEOw4b4eXXhsUMC8en8+ahV9duZst7Pd4Vn86bh5hhrBcREVFLsKn7gXJSqRAVGIgXIyIQFRgIpyZuNrHWMddPn2b6s9k6JydABOumTWuTXIiIiJSGl19tpD1ffrXX5c8RAQFmx6zLyckJPt27Y0RAAE5mZdksDyIiIiVqfx2HQrTF5deWzLbZ8/Lnkx4eVt2OiIiI/o8zdQ6qJbNtTV3+NBqNWDdtGg6nJNvkTtRbpaVW3Y6IiIj+jzN1Dqils221lz8bm9F7+PKnLZzOzkb+XS2MRmOD641GI/K0WpzOzrbJ8YmIiJSMTZ2Dac3NBva+/GkUQezOXYBKVa+xMxqNgEqFuF27+Lw6IiKiFmBTZyNz5sxBZmYmkpKse+NBa2bb2sPlz0PJSZi4Zg0KdSVmywtKSjBxzRo+p46IiKiF+DN1NqLRaKDRaKBWq6HX662239bMttVe/uz1eNcG78o1Go0oKCmx+eXPQ8lJOJySzN8oQUREZEVs6hxMa2bbai9/fjpvHoxGo1lj19aXP40ifGwJERGRFfHyq4Np7c0GvPxJRESkTJypczDWmG3j5U8iIiLlYVNnI7b8jRK1s211n1NXUFKCuF2W/VYIXv4kIiJSFjZ1NmKrGyVqcbaNiIiIHsamzoFxto2IiIhq8UYJIiIiIgVgU0dERESkAGzqiIiIiBSATR0RERGRArCpIyIiIlIANnU2MmfOHGRmZiIpib+hgYiIiGyPTZ2NaDQaDB48GOHh4fZOhYiIiH4A2NQRERERKQCbOiIiIiIF4G+UaCNqtdreKSiCs7Mz3NzcoFarUVNTY+90FIW1tR3W1jZYV9thbW2nObVtbu/Aps7Gaj+QwsJCO2dCREREjkitVsNgMDS5nQoAfwO8jfXs2dOiD6OlkpKSWnxDRnPGNrXto9Y3tq6h5XWXPfxarVajsLAQvXr1smlNH5Wztcdbsh1r27Kxralta+pad9kPsbY8Z1s2nt8HthvrqN8HarUaN2/ebHI7gDN1bcLSD6OljEZji//SNWdsU9s+an1j6xpaXndZQ9sYDAabf9G0pq7NGW/Jdqxty8a2pratqWtjy35IteU527Lx/D6w3VhH/T5oTm14o4QCbN68uU3GNrXto9Y3tq6h5XWXteb9tUZrj2vpeEu2Y21bNrY1tW1NXS09ti20l9rynG3ZeH4f2G7sD+H7gJdfyaGo1Wro9Xp07tzZ5v97/KFhbW2HtbUN1tV2WFvbsWVtOVNHDqWqqgpLly5FVVWVvVNRHNbWdlhb22BdbYe1tR1b1pYzdUREREQKwJk6IiIiIgVgU0dERESkAGzqiIiIiBSATR0RERGRArCpI0X57LPPUFJSgoMHD9o7FcXo3bs3Tpw4gczMTKSnp2PixIn2TkkxHnvsMSQlJSEtLQ0ZGRmYOXOmvVNSHDc3N+Tm5mLVqlX2TkUxqqurkZaWhrS0NGzbts3e6ShKnz59cPz4cWRmZiIjIwOdOnVq9j6EwVBKjBo1Sn75y1/KwYMH7Z6LUsLLy0uCg4MFgDzxxBOSn58vnTp1snteSggnJydxc3MTAOLm5ibXrl2Trl272j0vJcW7774r+/fvl1WrVtk9F6VEcXGx3XNQaiQmJkpkZKQAkMcff1ycnZ2bNZ4zdaQoiYmJfFCmld2+fRvp6ekAgOLiYpSUlKBr1652zkoZjEYjKioqAAAdO3aEs7MzVCqVnbNSjv79+8Pf3x9HjhyxdypETQoMDER1dTW+/vprAIBOp0NNTU2z9sGmjtqNESNG4IsvvkBhYSFEBOPGjau3zezZs3H9+nVUVFQgJSUFkZGRdsjUsVizrmFhYXByckJBQYGt03YI1qhtly5dcPHiRRQUFOCvf/0r7t6921bpt2vWqO3q1auxYMGCtkrZIVijrp07d0ZKSgpOnz6NkSNHtlXq7V5raztgwACUlZXh8OHDuHDhQovOXTZ11G64u7sjPT0dr732WoPrJ02ahHXr1uG9995DaGgoTp8+jYSEBHh7e7dxpo7FWnXt2rUrdu/ejVmzZrVF2g7BGrW9d+8eQkJC4Ofnh5deegk9evRoq/TbtdbW9oUXXsDVq1fx7bfftmXa7Z41ztk+ffpg6NCheOWVV7B7926o1eq2Sr9da21tXV1dMWLECLz66qt49tlnER0djdGjRzc7D7tfQ2Yw6oaIyLhx48yW/fvf/xaNRmO2LCsrS5YvX262LCoqij9TZ+W6dujQQU6ePClTp061+3tor9Gac7Y2NBqNTJw40e7vpb1FS2q7fPlyycvLk5ycHCkuLpbS0lJZtGiR3d9LewprnLNHjhyRsLAwu7+X9hYtqe0zzzwjCQkJpnXz58+X+fPnN+u4nKkjh+Dq6oqwsDAcO3bMbPmxY8cQERFhp6wcn6V13blzJ44fP449e/a0dYoOy5La9ujRwzTLoVarMXLkSHzzzTdtnqujsaS2CxcuhI+PD/z8/DB//nxs27YNf/nLX+yRrsOwpK4eHh7o0KEDAKBXr14IDAzE9evX2zxXR2NJbZOTk+Hp6QkPDw+oVCqMHDkS2dnZzTqOi9UyJrKh7t27w8XFBUVFRWbLi4qK4OXlZXp99OhRPP3003B3d0d+fj5iYmKQkpLS1uk6DEvq+txzz2Hy5MnIyMjA+PHjAQC//e1vcfny5bZO16FYUtvevXtj+/btUKlUUKlU2LRpEy5dumSPdB2Kpd8H1DyW1DUgIAAffvghjEYjRASxsbHQ6XT2SNehWFLbmpoaLFy4EKdOnYJKpcKxY8fw5ZdfNus4bOrIoYiI2WuVSmW27Pnnn2/rlBThUXU9c+YMnJ2d7ZGWIjyqtqmpqQgNDbVHWorQ1PdBrV27drVVSorwqLqeO3cOQ4YMsUdaitDUOXv06FEcPXq0xfvn5VdyCFqtFv/5z3/q/S+8R48e9f7nQ5ZjXW2HtbUd1tY2WFfbaavasqkjh1BdXY0LFy4gOjrabHl0dDTOnj1rp6wcH+tqO6yt7bC2tsG62k5b1tbud4kwGADE3d1dgoODJTg4WERE4uLiJDg4WLy9vQWATJo0SaqqqmTGjBni7+8va9asEYPBID4+PnbPvT0H68raOmKwtqyro0U7qa39C8FgAN8/iqQh8fHxpm1mz54tOTk5UllZKSkpKTJixAi7593eg3VlbR0xWFvW1dGiPdRW9b8/EBEREZED48/UERERESkAmzoiIiIiBWBTR0RERKQAbOqIiIiIFIBNHREREZECsKkjIiIiUgA2dUREREQKwKaOiIiISAHY1BEREREpAJs6ImqWQYMG4dy5c6ioqEBaWpq902nSkiVLbJZnfHw8Dh06ZJN9O4KcnBzExsbaOw0i+h82dUQK1b17dzx48ABubm5wdnZGWVkZvL29W73fZcuWoby8HIMGDcJPf/rTBreJj4+HiEBEUF1djRs3bkCj0cDDw6PVx2+u1atXN5qnrUVFRUFE0KVLF4vHtMdGcdq0adDpdPWWDxs2DB999JHNjz9r1ixcvHgRZWVl0Ol0SE1NxVtvvWVa3x5rRmQPLvZOgIhs49lnn8XFixdRUVGB8PBwlJSUID8/v9X77devH7788kvk5eU9cruEhATMmDEDLi4uCAwMxI4dO+Dh4YGXXnqp1Tk0R3l5OcrLyxtd7+rqiurq6jbMqP1o7XvXarVWzKZhv//977FmzRrMnTsXJ0+exI9+9CMMGTIEgYGBNj82kSMSBoOhvFixYoWsXbtWAMi8efNk3759TY5RqVSyaNEiyc/Pl8rKSklLS5Of/exnpvV1LVmypMH9xMfHy6FDh8yWrV69WrRardmy6dOnS1ZWllRUVEh2drbMnj3bbP2wYcMkNTVVKioqJDk5WcaPHy8iIsHBwQJApk2bJjqdzmzMuHHjRERMr5csWSJpaWn1cnv77belsLBQcnJyBID07NlTPvnkEykpKRGtViuff/65+Pr6msY5OTnJBx98IDqdTrRaraxcuVJ27txZ730+HFFRUSIi0qVLF7N8x4wZI1lZWWIwGCQhIUG8vLxMudYVFRVlUX7Ozs6yfv16U37vv/9+vfxOnDghGzdulA8++ECKi4slMTFRAMgbb7whGRkZUlZWJnl5ebJ582Zxd3c3ew8Nfe45OTkSGxtr2r+3t7d8/vnnYjAY5N69e7J//37p0aNHvc9i6tSpkpOTI6WlpbJv3z557LHHGq3hoUOHZMeOHY2ub03Nas+FxYsXS1FRkdy7d0+2bt0qrq6upm1+9atfSUZGhty/f1+0Wq3861//kk6dOtn97zeD0UjYPQEGg2Gl8Pb2Fp1OJzqdTqqqquT+/fui0+mksrJSKioqRKfTyebNmxsdHxcXJ6WlpTJ58mQZOHCgvP/++1JVVSX9+/cXAOLp6SmXLl2SVatWiaenp+kf/rpRt6nz8/OTy5cvy61bt0zLZs6cKYWFhRITEyN9+vSRmJgY0Wq18rvf/U4ASKdOnaSoqEj27dsngYGB8otf/EK+++47qzR1er1edu3aJYGBgTJ48GBxc3OTb775Rv72t79JUFCQ+Pv7y549eyQ7O9v0D/wf//hH0el0MmHCBPH395dt27bJvXv3mt3UVVVVybFjxyQsLExCQ0MlMzNT9uzZIwDE3d1dPvnkEzly5Ih4enqKp6enuLq6WpTfwoULRavVyvjx42XQoEGi0WiktLS0XlOn1+tl5cqVMnDgQBk0aJAAkNjYWBk1apT06dNHfvzjH0t2drbpPHF1dZW5c+dKaWmpKafaz71uU3fhwgU5deqUPP300xIeHi4pKSly4sQJs89Cr9fLp59+KoMHD5bIyEi5efOmvPvuu43WcMuWLZKVlSU+Pj4Nrm9NzWrPhdpzbOzYsVJUVGTKx8vLSx48eCBxcXHi6+srQUFBMnv27EbPewajHYTdE2AwGFYKZ2dn8fX1laeeekqqqqpkyJAh0rdvX9Hr9TJixAjx9fWVbt26NTq+oKBAFixYYLbs/PnzsmnTJtPrtLS0RmfoaiM+Pl6qq6vFYDDI/fv3TTMocXFxpm1u3LghL774otm4P//5z3LmzBkBIC+//LJotVpxc3Mzrf/DH/5glabu1q1bZrMxM2bMkOzsbLP9uLq6Snl5uURHRwsAKSwslLfeesus1nl5ec1u6kRE+vbta9pm9uzZZs1uQ7OcluR369YtefPNN03rnZycJDc3t15Tl5qa2uR5NHHiRCkuLja9bqjOgHlTN3r0aKmurpbevXub1gcEBIiIyNChQ02fRVlZmdnM3MqVK+XcuXON5uLl5SVnz54VEZErV65IfHy8/PrXvxaVStXqmsXHxzd4jun1elGpVBIaGioi0mhDyWC0t+CNEkQKUlNTgxs3bsDf3x/JycnIyMiAl5cXioqKcPr0ady4cQN3795tcKxarUavXr1w5swZs+VnzpxBQEBAs3M5ceIEQkJCMHz4cGzYsAFHjx7Fxo0bAXx/E4ePjw+2b98Og8FginfeeQf9+vUDAAQEBCA9PR0VFRWmfZ47d67ZeTTk0qVLZj9LFhYWhv79+5vlUlJSgo4dO6Jfv37o3LkzevbsaXb8mpoapKSkNPvY5eXluH79uun1rVu30KNHj0eOsSQ/Ly8vJCUlmcYYjUZcuHCh3r4aynnUqFE4duwYCgoKoNfrsXv3bnTv3h2dOnWy+H0FBAQgPz8fBQUFpmXZ2dnQ6XRm509ubi7Kysosfv+3b99GREQEgoKCsGHDBri6umLXrl04evQoVCpVo+Oaqlmths4xtVoNb29vpKen46uvvsKlS5dw4MABzJw50y43+xBZijdKECnI5cuX4evrC1dXVzg5OcFgMMDFxQUuLi4wGAy4ceMGgoKCHrmP7ye5/k+lUtVbZony8nJcu3YNABAbG4vjx49jyZIlWLx4MZycvv//5Msvv4zz58+bjaupqTEdtylGo7Hedq6urhbl9jAnJydcuHABv/nNb+ptW1xc3OT+mqPujQkiYqpHYyzNr6HPrq66793HxwdHjhzB1q1bsWjRIpSUlCAyMhI7duywqJYPH6uh86Tu8pa8fwDIzMxEZmYmNBoNnnvuOXz99deIiopCYmJig9u39jMVERiNRkRHRyMiIgJjxozB66+/jvfeew/Dhw9Hbm5uk/sgamucqSNSkLFjxyIkJAS3b9/G1KlTERISgsuXLyMuLg4hISEYO3Zso2MNBgMKCwsRGRlptjwiIgLZ2dmtzm3ZsmWYP38+nnzySdy5cwcFBQXo27cvrl27Zha1/1hmZWUhODgYHTt2NO3jmWeeMdtncXEx1Gq12YxSSEhIs3NLTU3FgAEDcOfOnXr56PV66PV63Lx50+z4zs7OCAsLa/axmvLgwQM4Ozs3O7/bt28jPDzcNMbJyQmhoaFNHm/o0KFwcXHBm2++ifPnz+Pbb79Fz549m8yprqysLPj4+KB3796mZQEBAfDw8LDK+VP3WADg7u7eaH5N1axWQ+eYwWAwm3E8e/Ysli5ditDQUDx48AAxMTFWfT9E1sKmjkhB8vLyUFZWBk9PTxw+fBh5eXkIDAzEZ599hmvXrjX5GJJVq1bhT3/6EyZNmoSBAwdixYoVCAkJwfr161ud28mTJ5GZmYmFCxcCAJYuXYoFCxZg7ty5GDBgAIKCgjB9+nS88cYbAIC9e/fCaDRi+/btCAgIwM9//nPMnz/fbJ/nz5/H/fv3sXz5cvTr1w9TpkzB9OnTm53bxx9/DK1Wi8OHDyMyMhJ9+vTByJEjsW7dOvTq1QsAsH79erz99tsYP348Bg0aZLPn7uXm5mLIkCEYOHAgunXrBhcXF4vy27hxIxYsWIAXXngBAwcOxPr16/H44483Oct67do1uLq64vXXX4efnx+mTp2KV155pV5OarUaP/nJT9CtWze4ubnV289XX32FjIwMfPzxxwgNDcWwYcOwe/duJCYmNngZ2FIajQbvvPMOIiIi4OPjg+HDh2P37t24c+eO6XJ4S2sGAB06dDCdY88//zyWLVuGTZs2QUQQHh6OBQsWICwsDN7e3pgwYQKeeOIJqzepRNZk9x/sYzAY1ovJkyfLqVOnBIBERkbK1atXLR778CNNqqqq6j3SBLD8RomGbiCYMmWKVFZWmn6YfsqUKZKamiqVlZVy9+5dSUxMlPHjx5u2Hz58uKSlpUllZaWkpqZKTEyM2Y0SwPc3Rly9elXu378vX3zxhcycOdOiR5rUzc3T01N27twpd+7ckYqKCvnuu+/kww8/FLVaLcD3N0asXbtWSktLpaSkRFavXt3iR5o8vE3dGzu6d+8u//znP0Wv15s9nsOS/DZs2CClpaVy9+5dWbFihezfv1/27t1r2veJEydMj7l5OOLi4qSwsFDKy8slISFBpk6dapY3ANFoNFJcXGyVR5o8fOzY2FjTY2UaigkTJsg//vEPKSwslMrKSikoKJCDBw9KUFBQq2tWey4sXbpUiouLRa/Xy0cffSQdOnQQAOLv7y8JCQlSVFQkFRUVcuXKFXn11Vft/necwWgsVP/7AxFRu+fr64vc3FyEhIQgPT3d3um0ayqVCtnZ2Thw4AAWL15s73Tapfj4eHh4ePByKikGb5QgIlIAHx8fjBkzxvRbF1577TX4+flh79699k6NiNoIf6aOiEgBjEYjpk+fjuTkZJw5cwZPPfUURo8ejStXrtg7NSJqI7z8SkRERKQAnKkjIiIiUgA2dUREREQKwKaOiIiISAHY1BEREREpAJs6IiIiIgVgU0dERESkAGzqiIiIiBSATR0RERGRArCpIyIiIlKA/wKcvj+KWFTMLgAAAABJRU5ErkJggg==", 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" ] @@ -548,40 +548,40 @@ "How much faster X is vs. Y\n", "End Time: 1.0e-03\n", "\t nbrk_ode = 10.6x solve_ivp\t cyrk_ode = 16.9x solve_ivp\n", - "\t CySolver = 65.4x solve_ivp\t nbrk_ode = 0.6x cyrk_ode\n", - "\t CySolver = 6.2x nbrk_ode\t CySolver = 3.9x cyrk_ode\n", + "\t CySolver = 64.9x solve_ivp\t nbrk_ode = 0.6x cyrk_ode\n", + "\t CySolver = 6.1x nbrk_ode\t CySolver = 3.8x cyrk_ode\n", "End Time: 1.0e-02\n", - "\t nbrk_ode = 10.6x solve_ivp\t cyrk_ode = 16.8x solve_ivp\n", - "\t CySolver = 65.8x solve_ivp\t nbrk_ode = 0.6x cyrk_ode\n", - "\t CySolver = 6.2x nbrk_ode\t CySolver = 3.9x cyrk_ode\n", + "\t nbrk_ode = 10.5x solve_ivp\t cyrk_ode = 16.2x solve_ivp\n", + "\t CySolver = 64.5x solve_ivp\t nbrk_ode = 0.7x cyrk_ode\n", + "\t CySolver = 6.1x nbrk_ode\t CySolver = 4.0x cyrk_ode\n", "End Time: 1.0e-01\n", - "\t nbrk_ode = 14.7x solve_ivp\t cyrk_ode = 20.0x solve_ivp\n", - "\t CySolver = 88.4x solve_ivp\t nbrk_ode = 0.7x cyrk_ode\n", - "\t CySolver = 6.0x nbrk_ode\t CySolver = 4.4x cyrk_ode\n", + "\t nbrk_ode = 14.9x solve_ivp\t cyrk_ode = 20.2x solve_ivp\n", + "\t CySolver = 83.1x solve_ivp\t nbrk_ode = 0.7x cyrk_ode\n", + "\t CySolver = 5.6x nbrk_ode\t CySolver = 4.1x cyrk_ode\n", "End Time: 1.0e+00\n", - "\t nbrk_ode = 29.3x solve_ivp\t cyrk_ode = 26.8x solve_ivp\n", - "\t CySolver = 161.1x solve_ivp\t nbrk_ode = 1.1x cyrk_ode\n", - "\t CySolver = 5.5x nbrk_ode\t CySolver = 6.0x cyrk_ode\n", + "\t nbrk_ode = 29.8x solve_ivp\t cyrk_ode = 28.1x solve_ivp\n", + "\t CySolver = 165.3x solve_ivp\t nbrk_ode = 1.1x cyrk_ode\n", + "\t CySolver = 5.5x nbrk_ode\t CySolver = 5.9x cyrk_ode\n", "End Time: 1.0e+01\n", - "\t nbrk_ode = 94.2x solve_ivp\t cyrk_ode = 35.7x solve_ivp\n", - "\t CySolver = 397.4x solve_ivp\t nbrk_ode = 2.6x cyrk_ode\n", - "\t CySolver = 4.2x nbrk_ode\t CySolver = 11.1x cyrk_ode\n", + "\t nbrk_ode = 92.6x solve_ivp\t cyrk_ode = 36.2x solve_ivp\n", + "\t CySolver = 382.0x solve_ivp\t nbrk_ode = 2.6x cyrk_ode\n", + "\t CySolver = 4.1x nbrk_ode\t CySolver = 10.6x cyrk_ode\n", "End Time: 1.0e+02\n", - "\t nbrk_ode = 108.5x solve_ivp\t cyrk_ode = 34.8x solve_ivp\n", - "\t CySolver = 450.8x solve_ivp\t nbrk_ode = 3.1x cyrk_ode\n", - "\t CySolver = 4.2x nbrk_ode\t CySolver = 12.9x cyrk_ode\n", + "\t nbrk_ode = 109.9x solve_ivp\t cyrk_ode = 37.0x solve_ivp\n", + "\t CySolver = 450.2x solve_ivp\t nbrk_ode = 3.0x cyrk_ode\n", + "\t CySolver = 4.1x nbrk_ode\t CySolver = 12.2x cyrk_ode\n", "End Time: 1.0e+03\n", - "\t nbrk_ode = 113.6x solve_ivp\t cyrk_ode = 36.1x solve_ivp\n", - "\t CySolver = 444.4x solve_ivp\t nbrk_ode = 3.1x cyrk_ode\n", - "\t CySolver = 3.9x nbrk_ode\t CySolver = 12.3x cyrk_ode\n", + "\t nbrk_ode = 124.0x solve_ivp\t cyrk_ode = 37.0x solve_ivp\n", + "\t CySolver = 466.6x solve_ivp\t nbrk_ode = 3.4x cyrk_ode\n", + "\t CySolver = 3.8x nbrk_ode\t CySolver = 12.6x cyrk_ode\n", "End Time: 1.0e+04\n", - "\t nbrk_ode = 104.9x solve_ivp\t cyrk_ode = 37.5x solve_ivp\n", - "\t CySolver = 455.6x solve_ivp\t nbrk_ode = 2.8x cyrk_ode\n", - "\t CySolver = 4.3x nbrk_ode\t CySolver = 12.2x cyrk_ode\n", + "\t nbrk_ode = 103.1x solve_ivp\t cyrk_ode = 36.5x solve_ivp\n", + "\t CySolver = 450.1x solve_ivp\t nbrk_ode = 2.8x cyrk_ode\n", + "\t CySolver = 4.4x nbrk_ode\t CySolver = 12.3x cyrk_ode\n", "End Time: 1.0e+05\n", - "\t nbrk_ode = 98.6x solve_ivp\t cyrk_ode = 36.9x solve_ivp\n", - "\t CySolver = 427.0x solve_ivp\t nbrk_ode = 2.7x cyrk_ode\n", - "\t CySolver = 4.3x nbrk_ode\t CySolver = 11.6x cyrk_ode\n" + "\t nbrk_ode = 95.4x solve_ivp\t cyrk_ode = 36.7x solve_ivp\n", + "\t CySolver = 428.3x solve_ivp\t nbrk_ode = 2.6x cyrk_ode\n", + "\t CySolver = 4.5x nbrk_ode\t CySolver = 11.7x cyrk_ode\n" ] } ], diff --git a/Benchmarks/CyRK_CySolver.pdf b/Benchmarks/CyRK_CySolver.pdf index 2061f59..38dc23b 100644 Binary files a/Benchmarks/CyRK_CySolver.pdf and b/Benchmarks/CyRK_CySolver.pdf differ diff --git a/Benchmarks/CyRK_SciPy_Compare_predprey_v0-9-0.png b/Benchmarks/CyRK_SciPy_Compare_predprey_v0-9-0.png new file mode 100644 index 0000000..e43fcdd Binary files /dev/null and b/Benchmarks/CyRK_SciPy_Compare_predprey_v0-9-0.png differ diff --git a/Benchmarks/CyRK_SciPy_Compare_predprey_v0-9-0a0-dev1.png b/Benchmarks/CyRK_SciPy_Compare_predprey_v0-9-0a0-dev1.png deleted file mode 100644 index f505f64..0000000 Binary files a/Benchmarks/CyRK_SciPy_Compare_predprey_v0-9-0a0-dev1.png and /dev/null differ diff --git a/Benchmarks/CyRK_cyrk_ode.pdf b/Benchmarks/CyRK_cyrk_ode.pdf index 2061f59..adffe71 100644 Binary files a/Benchmarks/CyRK_cyrk_ode.pdf and b/Benchmarks/CyRK_cyrk_ode.pdf differ diff --git a/Benchmarks/CyRK_numba.pdf b/Benchmarks/CyRK_numba.pdf index 2061f59..adffe71 100644 Binary files a/Benchmarks/CyRK_numba.pdf and b/Benchmarks/CyRK_numba.pdf differ diff --git a/Benchmarks/SciPy.pdf b/Benchmarks/SciPy.pdf index 1a32fdb..eb2468a 100644 Binary files a/Benchmarks/SciPy.pdf and b/Benchmarks/SciPy.pdf differ diff --git a/Benchmarks/CyRK_SciPy_Compare_predprey_v0-8-4.png b/Benchmarks/archive/CyRK_SciPy_Compare_predprey_v0-8-4.png similarity index 100% rename from Benchmarks/CyRK_SciPy_Compare_predprey_v0-8-4.png rename to Benchmarks/archive/CyRK_SciPy_Compare_predprey_v0-8-4.png diff --git a/Benchmarks/CyRK_SciPy_Compare_predprey_v0-8-6.png b/Benchmarks/archive/CyRK_SciPy_Compare_predprey_v0-8-6.png similarity index 100% rename from Benchmarks/CyRK_SciPy_Compare_predprey_v0-8-6.png rename to Benchmarks/archive/CyRK_SciPy_Compare_predprey_v0-8-6.png diff --git a/CHANGES.md b/CHANGES.md index a884509..e26f098 100644 --- a/CHANGES.md +++ b/CHANGES.md @@ -11,6 +11,7 @@ Major Changes: Other Changes: - CI will now build x64-86 and arm64 wheels for MacOS (change suggested by @dihm in [#49](https://github.com/jrenaud90/CyRK/issues/49)). + - Did have to use this `nomkl` [workaround](https://stackoverflow.com/questions/53014306/error-15-initializing-libiomp5-dylib-but-found-libiomp5-dylib-already-initial) which may cause problems. TBD. #### v0.8.7 (2024-02-13) diff --git a/Performance/cyrk_performance-DOP853.csv b/Performance/cyrk_performance-DOP853.csv index ebfaf22..3a55eac 100644 --- a/Performance/cyrk_performance-DOP853.csv +++ b/Performance/cyrk_performance-DOP853.csv @@ -19,4 +19,4 @@ CyRK Version, Run-on Date, cython (avg), cython (std),CySolver (avg),CySolver (s 0.8.3, 07/10/2023 02:40:03, 0.9727, 0.0033, 0.0587, 0.0014, 0.1625, 0.0006, 9.9439, 0.0246, 0.4990, 0.0070, 2.6214, 0.0527, 0.4393, 0.0008, 0.0400, 0.0006, 0.1034, 0.0063, 4.4720, 0.1096, 0.3114, 0.0025, 1.1428, 0.0021, 1.4298, 0.0046, 0.0987, 0.0009, 0.2440, 0.0019, 21.2338, 0.3276, 1.7444, 0.0077, 4.3900, 0.0738, 1.6848, 0.0280, 0.1039, 0.0003, 0.4644, 0.0006, 25.3711, 0.1346, 2.2809, 0.0329, 7.3621, 0.0222 0.8.4, 18/10/2023 12:49:04, 0.9453, 0.0036, 0.0574, 0.0012, 0.1718, 0.0070, 9.9086, 0.1287, 0.4833, 0.0013, 1.4208, 0.0060, 0.4293, 0.0016, 0.0383, 0.0001, 0.0956, 0.0006, 4.2518, 0.0123, 0.2944, 0.0001, 0.7605, 0.0005, 1.3829, 0.0014, 0.0931, 0.0001, 0.2438, 0.0003, 19.2126, 0.0622, 1.1729, 0.0003, 3.1186, 0.0861, 1.6221, 0.0111, 0.0957, 0.0000, 0.4634, 0.0006, 22.3320, 0.0879, 1.2067, 0.0012, 6.1291, 0.0053 0.8.6, 13/02/2024 17:08:45, 0.9814, 0.0156, 0.0611, 0.0001, 0.1640, 0.0017, 10.2798, 0.4311, 0.5307, 0.0079, 1.4800, 0.0021, 0.4434, 0.0036, 0.0420, 0.0005, 0.0991, 0.0000, 4.4219, 0.0575, 0.3169, 0.0014, 0.7947, 0.0034, 1.4053, 0.0155, 0.0973, 0.0004, 0.2517, 0.0009, 19.6548, 0.3540, 1.2133, 0.0019, 3.1887, 0.0088, 1.6764, 0.0156, 0.1001, 0.0001, 0.5250, 0.0036, 23.9277, 0.3592, 1.2488, 0.0017, 7.2941, 0.1608 -0.9.0a0.dev1, 28/04/2024 16:35:40, 1.0821, 0.0759, 0.0542, 0.0005, 0.1718, 0.0085, 10.7475, 0.1318, 0.5200, 0.0034, 1.5308, 0.0297, 0.4628, 0.0038, 0.0338, 0.0001, 0.1002, 0.0012, 4.6868, 0.0765, 0.3107, 0.0036, 0.8255, 0.0217, 1.4887, 0.0342, 0.0911, 0.0010, 0.2890, 0.0163, 21.0884, 0.6085, 1.2186, 0.0099, 3.3427, 0.0986, 1.7910, 0.0446, 0.0930, 0.0006, 0.4984, 0.0052, 24.2231, 0.5540, 1.2622, 0.0102, 6.7969, 0.1273 +0.9.0, 22/05/2024 22:15:26, 0.9568, 0.0401, 0.0505, 0.0005, 0.1598, 0.0029, 9.3965, 0.0572, 0.4906, 0.0023, 1.4464, 0.0674, 0.4580, 0.0164, 0.0339, 0.0003, 0.0993, 0.0012, 4.4166, 0.0646, 0.3087, 0.0043, 0.7972, 0.0071, 1.6945, 0.2623, 0.0890, 0.0012, 0.2536, 0.0004, 19.7165, 0.1345, 1.1869, 0.0065, 3.1730, 0.0257, 1.6580, 0.0074, 0.0912, 0.0001, 0.4899, 0.0083, 22.9837, 0.2493, 1.2295, 0.0061, 6.4824, 0.0413 diff --git a/Performance/cyrk_performance-RK23.csv b/Performance/cyrk_performance-RK23.csv index eefb1eb..18741f5 100644 --- a/Performance/cyrk_performance-RK23.csv +++ b/Performance/cyrk_performance-RK23.csv @@ -19,4 +19,4 @@ CyRK Version, Run-on Date, cython (avg), cython (std),CySolver (avg),CySolver (s 0.8.3, 07/10/2023 02:37:45, 4.5212, 0.1075, 0.2681, 0.0021, 0.7992, 0.0038, 43.9629, 0.3217, 2.5955, 0.0502, 9.2842, 0.4116, 2.7602, 0.0088, 0.2146, 0.0037, 0.5896, 0.0074, 27.1210, 0.1858, 2.0566, 0.0327, 5.7936, 0.0150, 4.8923, 0.0594, 0.3719, 0.0011, 0.9807, 0.0023, 82.6179, 0.6252, 6.0628, 0.0336, 20.2684, 0.2082, 5.6639, 0.0115, 0.9587, 0.2834, 1525.4251, 2635.4115, 105.9372, 0.3232, 14.0169, 0.0614, 45.0599, 0.8249 0.8.4, 18/10/2023 12:46:46, 4.4202, 0.0673, 0.2500, 0.0004, 0.8115, 0.0034, 43.1191, 0.0775, 2.4081, 0.0282, 10.0251, 0.7074, 2.7552, 0.0436, 0.2110, 0.0039, 0.5987, 0.0058, 26.5597, 0.2133, 1.9887, 0.0201, 5.8675, 0.1112, 4.7007, 0.0078, 0.3080, 0.0014, 0.9944, 0.0238, 81.1241, 0.3424, 5.5864, 0.7125, 19.9567, 0.1538, 5.4119, 0.0106, 0.3208, 0.0010, 1322.6941, 2287.9898, 96.8733, 2.3521, 5.5968, 0.1162, 36.6713, 0.3267 0.8.6, 13/02/2024 17:06:17, 4.5290, 0.0708, 0.2875, 0.0033, 0.9640, 0.1354, 43.6531, 0.0926, 2.8374, 0.0722, 8.9517, 0.2453, 2.7551, 0.0064, 0.2243, 0.0006, 0.6140, 0.0013, 27.0492, 0.2018, 2.1363, 0.0025, 5.9659, 0.0384, 4.6135, 0.0079, 0.3487, 0.0003, 0.9485, 0.0007, 79.4872, 0.4035, 5.9439, 0.1090, 19.9015, 0.1388, 5.6296, 0.0271, 0.3621, 0.0012, 1454.8195, 2516.6233, 96.8326, 0.5951, 6.1248, 0.0257, 38.7549, 0.4298 -0.9.0a0.dev1, 28/04/2024 16:33:18, 4.7953, 0.1380, 0.2774, 0.0022, 0.9154, 0.0921, 48.2304, 2.3404, 2.7864, 0.0900, 9.5501, 0.0960, 2.9073, 0.0365, 0.2226, 0.0090, 0.6248, 0.0041, 29.2903, 0.3552, 2.1533, 0.0246, 7.5314, 1.7160, 4.9601, 0.0650, 0.3488, 0.0068, 1.3128, 0.4091, 84.7193, 0.6367, 6.0557, 0.2830, 22.2041, 0.4342, 6.0133, 0.2861, 0.3729, 0.0200, 1454.6659, 2515.9971, 101.1687, 1.5611, 6.3772, 0.0996, 39.6568, 0.8971 +0.9.0, 22/05/2024 22:13:06, 4.4185, 0.0173, 0.2704, 0.0010, 0.8239, 0.0039, 44.0850, 0.4116, 2.6680, 0.0093, 9.1672, 0.2094, 2.7680, 0.0083, 0.2131, 0.0008, 0.6048, 0.0029, 27.4433, 0.1003, 2.0956, 0.0145, 6.7046, 0.1153, 4.6866, 0.0309, 0.3370, 0.0008, 0.9558, 0.0036, 80.4914, 0.3251, 5.7944, 0.0229, 20.3825, 0.1789, 5.5414, 0.0329, 0.3445, 0.0016, 1365.9393, 2362.3685, 98.7604, 2.1827, 6.2220, 0.0443, 38.7668, 0.8054 diff --git a/Performance/cyrk_performance-RK45.csv b/Performance/cyrk_performance-RK45.csv index 4197d76..98cbb26 100644 --- a/Performance/cyrk_performance-RK45.csv +++ b/Performance/cyrk_performance-RK45.csv @@ -19,4 +19,4 @@ CyRK Version, Run-on Date, cython (avg), cython (std),CySolver (avg),CySolver (s 0.8.3, 07/10/2023 02:39:08, 1.2268, 0.0292, 0.0670, 0.0002, 0.2042, 0.0002, 13.0410, 0.0369, 1.0062, 0.0659, 2.6633, 0.0087, 0.8234, 0.0038, 0.0631, 0.0002, 0.1648, 0.0001, 8.8861, 0.0427, 0.7835, 0.0085, 2.1426, 0.0023, 1.6358, 0.0049, 0.1139, 0.0050, 0.6746, 0.0009, 26.8571, 0.1145, 3.0055, 0.0209, 6.6462, 0.1028, 1.9187, 0.0032, 0.1280, 0.0045, 0.9513, 0.0050, 32.9776, 0.3770, 4.3772, 0.1087, 10.9500, 0.0345 0.8.4, 18/10/2023 12:48:10, 1.1825, 0.0070, 0.0622, 0.0001, 0.2012, 0.0008, 11.7285, 0.0223, 0.5412, 0.0092, 1.8985, 0.0613, 0.8106, 0.0029, 0.0601, 0.0012, 0.1661, 0.0004, 7.9235, 0.0105, 0.4982, 0.0007, 1.4473, 0.0029, 1.6015, 0.0058, 0.0981, 0.0003, 0.2963, 0.0039, 23.5090, 0.0487, 1.3260, 0.0138, 4.0189, 0.0470, 1.8400, 0.0072, 0.1011, 0.0002, 0.5443, 0.0013, 27.1240, 0.0951, 1.3706, 0.0024, 7.7848, 0.0081 0.8.6, 13/02/2024 17:07:48, 1.1940, 0.0018, 0.0656, 0.0001, 0.2073, 0.0006, 12.0870, 0.1605, 0.5541, 0.0014, 1.8434, 0.0014, 0.8268, 0.0006, 0.0641, 0.0001, 0.1746, 0.0037, 8.1272, 0.0545, 0.5381, 0.0006, 1.4994, 0.0056, 1.5900, 0.0112, 0.0984, 0.0001, 0.2944, 0.0007, 23.5061, 0.1064, 1.2961, 0.0085, 3.9463, 0.0073, 1.8949, 0.0107, 0.1017, 0.0001, 0.6063, 0.0029, 28.0150, 0.1407, 1.3543, 0.0045, 8.5997, 0.0030 -0.9.0a0.dev1, 28/04/2024 16:34:44, 1.2746, 0.0125, 0.0583, 0.0006, 0.2196, 0.0085, 12.9048, 0.1873, 0.5548, 0.0054, 2.0504, 0.0367, 0.8850, 0.0070, 0.0574, 0.0009, 0.1762, 0.0024, 8.6755, 0.0900, 0.5403, 0.0077, 1.5383, 0.0141, 1.6504, 0.0116, 0.0915, 0.0009, 0.3107, 0.0095, 25.0740, 0.0879, 1.3099, 0.0083, 4.3287, 0.1021, 2.0066, 0.0236, 0.0966, 0.0009, 0.5818, 0.0113, 29.3030, 0.5569, 1.3654, 0.0209, 8.6343, 0.2734 +0.9.0, 22/05/2024 22:14:31, 1.1960, 0.0130, 0.0572, 0.0002, 0.2087, 0.0020, 11.9870, 0.1021, 0.5485, 0.0132, 2.0033, 0.0304, 0.8442, 0.0170, 0.0573, 0.0014, 0.1752, 0.0058, 8.3417, 0.2007, 0.5387, 0.0105, 1.5645, 0.0520, 1.7154, 0.1224, 0.0902, 0.0011, 0.2965, 0.0014, 23.8292, 0.3713, 1.2821, 0.0044, 4.1381, 0.0798, 1.9019, 0.0220, 0.0982, 0.0035, 0.6217, 0.0603, 28.4668, 0.4076, 1.2589, 0.0169, 8.2552, 0.3280