diff --git a/examples/jupyter/nuclear-data-resonance-covariance.ipynb b/examples/jupyter/nuclear-data-resonance-covariance.ipynb index bc83d48fc3..f830a2cacb 100644 --- a/examples/jupyter/nuclear-data-resonance-covariance.ipynb +++ b/examples/jupyter/nuclear-data-resonance-covariance.ipynb @@ -118,7 +118,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 5, @@ -129,7 +129,7 @@ "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAUkAAAD8CAYAAAD6+lbaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nDQdJM7M2HCTNzNpwkDQza8NB0sysjf8PkgcWMPD86KAAAAAASUVORK5CYII=\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -257,18 +257,18 @@ "text": [ "Sample 1\n", " energy L J neutronWidth captureWidth fissionWidthA fissionWidthB\n", - "0 0.032689 0 2.0 0.000477 0.105084 0.0 0.0\n", - "1 2.825536 0 2.0 0.000336 0.101927 0.0 0.0\n", - "2 16.224770 0 1.0 0.000287 0.025024 0.0 0.0\n", - "3 16.769618 0 2.0 0.012305 0.086891 0.0 0.0\n", - "4 20.554322 0 2.0 0.010908 0.090244 0.0 0.0\n", + "0 0.031837 0 2.0 0.000475 0.106547 0.0 0.0\n", + "1 2.824944 0 2.0 0.000310 0.101103 0.0 0.0\n", + "2 16.230854 0 1.0 0.000379 0.055465 0.0 0.0\n", + "3 16.764246 0 2.0 0.013214 0.075675 0.0 0.0\n", + "4 20.559124 0 2.0 0.011960 0.076114 0.0 0.0\n", "Sample 2\n", " energy L J neutronWidth captureWidth fissionWidthA fissionWidthB\n", - "0 0.027766 0 2.0 0.000465 0.113061 0.0 0.0\n", - "1 2.827059 0 2.0 0.000332 0.099581 0.0 0.0\n", - "2 16.210647 0 1.0 0.000456 0.062444 0.0 0.0\n", - "3 16.773836 0 2.0 0.013618 0.074771 0.0 0.0\n", - "4 20.558365 0 2.0 0.010902 0.088135 0.0 0.0\n" + "0 0.033447 0 2.0 0.000478 0.103629 0.0 0.0\n", + "1 2.821635 0 2.0 0.000334 0.093337 0.0 0.0\n", + "2 16.246838 0 1.0 0.000403 0.104026 0.0 0.0\n", + "3 16.766217 0 2.0 0.012486 0.079445 0.0 0.0\n", + "4 20.561842 0 2.0 0.011493 0.084187 0.0 0.0\n" ] } ], @@ -296,8 +296,8 @@ { "data": { "text/plain": [ - "[,\n", - " ]" + "[,\n", + " ]" ] }, "execution_count": 10, @@ -326,9 +326,9 @@ }, { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYgAAAEOCAYAAACTqoDjAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4wLCBo\ndHRwOi8vbWF0cGxvdGxpYi5vcmcvpW3flQAAIABJREFUeJzt3Xe8W3X9+PHXO+Pmjra3exe6WGVD\n2TJFhqWMggiOL6MsFVRUFAQV8cdXFHF9RfYSBZUhUEURmSqzgCBQVgdQKN29be/ITU7evz9ycpOb\nm9yb3OTkJPe+n49HuMnJGe+bXs47ny2qijHGGJMt4HcAxhhjqpMlCGOMMTlZgjDGGJOTJQhjjDE5\nWYIwxhiTkyUIY4wxOVmCMMYYk5MlCGOMMTlZgjDGGJOTJQhjjDE5hfwOoBSjR4/WqVOn+h2GMcbU\nlBdeeGGNqo7pa7+aTBAiMheYO3PmTBYuXOh3OMYYU1NE5N1C9qvJKiZVXaCqZzU3N/sdijHGDFg1\nmSCMMcZ4ryYThIjMFZHrW1pa/A7FGGMGrJpMEFbFZIwx3qvJBGGMMcZ7liCMMcbkZAnCGGMqyNm8\nmc7ly/0OoyA1mSCskdoYU6sWf+oEFh/6Cb/DKEhNJghrpDbG1CpnaUFj1KpCTY6kNsaYWqUIKuJ3\nGAWxBGGMMRX03+3PYM2YXdje70AKUJNVTMYYU6vWjNnF7xAKVpMJwhqpjTHGezWZIKyR2hhjvFeT\nCcIYY4z3LEEYY4zJyRKEMcaYnCxBGGOMyakmE4T1YjLGGO/VZIKwXkzGGOO9mkwQxhhjvGcJwhhj\nTE6WIIwxxuRkCcIYY0xOliCMMaYCbvznEhav3ux3GEWxBGGMGfievhoubYboJl8uH405XPnsz/jh\nlX/35fr9ZQnCGDPwPXtd8mfral8u35noZOvgGnbdONyX6/eXJQhjzCDi30puokHfrt1fNZkgbCS1\nMaZ/tOQzrPrZz3nnkI+XIZbqV5MJwkZSG2P8sva664h9+GFZzhV1oqxu86faqxA1mSCMMaZ/ylvF\nlNAEmzv77pkkTpzhm3uWXs575DwOueuQssZUTpYgjDGmn655+Rr2uXMfWqK9V3drrJP5f3d6bH96\nxdN9XkNVUafnsZVgCcIYM+AtjSX4Q+uIsp/3b0seBGBdx7pe99OEQ39LL3eeejE3nnF/v44tlSUI\nY8yA959/BJn+6HTWbVgJwKp3N7JhVVvpJ051m21d06/Dd1ya4MBXEr3us77hUDoj/nSPDflyVWOM\nqaD25lN4btouTGmNAXDXDxcC8KVri6//X988k01Dt2A7YL9nWvnxIwl09hqYmP+YREJ5dYczu22L\nLl7M+QvGs6F5ZtExVIolCGPMgLdxaPIm7MRL7+b60q7nA3A4sM+LyW//0dXrez1GEj2rl2IffMBz\ne1wMwCdKjsobVsVkjBnwUrfnTR1xT87f0h7z5Lx+swRhjBkEkiUH1dJLEGUj/o3qLpRVMRljBo1E\norwJIhYezrtTZjOs93bmmmUJwhgzaJS7/PDe1LNob9ySWa0ret8xZ2mh+ksQVVPFJCLbici1InK3\niHzB73iMMQNPIlHer/pOoB4o4FZfA9VJuXiaIETkZhFZJSKvZm0/QkTeFJF3RORCAFVdpKrnACcC\ns72Myxgz2LhtEGUvQ2SevbcdqqjtowheVzHdCvwK+E1qg4gEgatJ9uxaDjwvIg+o6usicjRwoXuM\nMVUhHk/w6tvrWPz2Gta8t472jgRxAgSaIgwfVc8OO41lt61GEQpWTYHcZEvdn8vcBlH49S1B9KCq\nT4rI1KzNewLvqOoSABH5PXAM8LqqPgA8ICJ/Ae7wMjZj8ln54as8/cBfWf36RnTzOJzgVBLBxq73\nw+4DOminhecfXcnfA51EdhzD50/ajvEjGvOc2fhHM/7rgxqtYvKjkXoS8H7G6+XAXiJyEDAPiAAP\n5jtYRM4CzgLYYostvIvSDGyJBPEN77Ls3X/yzktPsvK1TcTXjEOcGXTWz8QJ7Q5AvbOSuo4X0dBy\npG4tiYYNiLYS7WwnsLGeERvH0BSfQdPY2bS+XMdtLz/JyEO34Izjt0Nq9KYwoKk33Y361QZRA38f\nfiSIXJ+KqurjwON9Hayq1wPXA8yePbs2y22mcmIdsG4Jbate460PnmPZ26+wdukqdPU46tq3IhjY\nik3DjsMJNUADhDtXEk68xtBhnWx/8C7s/IlPIaE8/5t0bOSjtx7kied+Q8vTD7HtmzvwwZTjaXs4\nzPfeWMe3LtiLpki4sr+v6ZV6VMXUVw1Sgr4T0x+ff59v3vMKr33/cJoi1dHB1I8olgNTMl5PBopa\nfUNE5gJzZ86s3jlMTIWoQkcLtCyHluVsWPsWS1f/l3fXvMOaD1fTsSpK3Zomhm3egqb4dNqGHk2s\neTpOU4RoE0h8LU79aoZvtwW7H74T280YVfg3//phjN/pJD6900kkTnifv953Hs5frmDCxpMQ2Ysf\nXfokF3z3AIY2WJLwm/hdxZQrg2T9mf3yn09SP+FhVmzcn5ljhlUmrj74kSCeB7YSkWnAB8BJwGeK\nOYGqLgAWzJ49+8w+dza1KdYBbWuSs2S2roG2NXRuWsm61g9YvfkjVrR9xEebVrNx/WbaNym6OUjD\n+gAjWoYxon0cDbIdw4cewaahW9DWPI61zbAWiOomEiNg1E6j2XPvKcyaNrwsVUGB4VOYc+p9rNnz\nPm6/5iJmLN4AHM6V/++ffOeygwhbA3ZVUI+qmPpSyF/YpuabCIdWs7LtA2YyCBKEiNwJHASMFpHl\nwPdU9SYRORd4CAgCN6vqa17GYYqkCgkH1En+TMQznqe2x9OvE3GId0A8mv7pRDNeJ7clYu1EY220\ndm6kNbqRzdGNtHZuYnO8jdZ4K5vjHbTGo7RHO+mICtGOAE40AB0Bgh0B6ttg5CYYubmRodGRTGVr\n2uvH0No0jrbG8bQ2jqdlaBOppVs6NUpbgxCe3MDEmSPYY7fxbD2l2dO2gdGzjuXcS7fnhh/PY+Lr\ndcDB/OQXz3DR1/b17JqmcOUeSe1jmaQivO7FdHKe7Q/SS0N0X0qtYlr676t4b9G9XX2iU//EqXla\nuvpKa9b7GefQrLldsvtX93w/6xqimTt376WtikrGNbOKp6mXqXP0uEaPWNxzZrybQHFUcUjgqJJI\nPUdJoMQREgKOQiKRLKBrAhJIsqegCokEkBDUASchJBwBR9BE8mfyAeII4kAoLtR3Ko1RaIhCQ2fy\nZ2On0tAZYpjTRFjHkQgOIRYeSmdd+me0bjjtDSPpGDuSDyZEuv1+UY3TWqfEhzcwZGwDEyYPZdb2\no9lxxkhfvrmHR23F2Rf/jWsvO5LRy0aBbs8f//Y2Jx6xVcVjMSnu/xOORyWIPkom/ZkD6sM3X2f4\n+F7mEK+A6mgJKVKpVUwvPvIvYk+t71HsS92zu7Z3vdZu7/e9Pzn37+2Y1G2s0HMVe+30/kIgAQFN\n/hQNEVRBEkGEAAEVhCCigmgQEUElgEoQRVAJggiJQIhEIJz8Kann4Yzt3Z87wQjxUD2xUD2xcCPx\npgY6mutpDdSTCNaB5P5TTKjSLgnaQ0K8IUhgSJjG4XUMH93AuPFNbLlFM9tuOZyGumDO4/0SHDaJ\nsy6+n5u/cTyR6LdZce8iluw0jukTq6PqYLDSAhqLK6WvkuyffvYRja3/gKYdKhRRTzWZIErldM5j\n04TMhkPp/lQFJLPE0COVgLtb9/d77qfddsl9nhTN936P6+Tbv/fjkvuL270ukPHcO4riAJ0onQKx\nIDhBQUMC4QASDhCMBAnVBagfEmZIc4Rhw+sZOaqesaMaGTe6gVFDItSHqysBFCI8YhonfPtK/v71\nnxIddz53/PQJLr7yKOv+6iPvZnPt/d906b0LgBkFnSkzxDYfkwPUaIIotYpp47a7sKzdXSow779r\n95us0i13dL3ufo5cfZ3zn7rbhux7ukvz5ojcB2S/nfpbS92UJACIEAgIBEACgrivJQAEUs+TP7ue\nB9OvAwEhFA5QVxcgXBciEglQVxckEgkSiYSorw9RHwnR0BCkvi5IJBykKRKiqS5EMDC4bo6jZnyc\n7ec/wps3PQ5yCHf99S1O/OQ2foc1aJV7Lqa03hPP0y/1nRy6elpV0ajrmkwQpVYxnfG5HeFzZQ7K\nmDx2OupyXnvqQCIrduWj+9bScuBUmpsifR9oyqer4c6bBNGve3pWSXLb9ZPZ/d2vILM3lCeoMrC+\nd8Z4TYR537qDxk13EQyM4uZf/9PviAat8vdicvWnYNzR0u3lnkvn0BgbRnxVS54DKs8ShDEVEBk+\nme0+O4NhLe8QeauV91e1+h3SoKQe9WLqV8Xp2ne6vRzalvwZWJ+7BOFH1VNNJggRmSsi17e0VE+m\nNaYvux77A2hcgAaHcvfPHvA7nEHJq4Fy/bt3504r+c7lxL1ZT7s3NZkgVHWBqp7V3NzsdyjGFC4Q\n4LBvfIURa18ksnY4ry9d53dEg4jbAOxUURVTDfTXqMkEYUytGrfdodRNegqVMA//8h6/wxl8PJzN\nte3Fl0i0txd5VA7V04nJEoQxlXbkt69gWMtL1G2eyFvL1vsdzqCQ6kKa8KgeX1o28e5nPsOKiy8p\n+Jg1rbGu58+seCajbil3jAnHKSXEfqnJBGFtEKaWNY3dmqap/yURbODhX/zO73AGlUSZSxBdQ2Q7\nkjf7jjfeKPjYjlg6ljP/fmZGt9fqqXuqyQRhbRCm1h317Z8wbMNLBDZP5b2PNvodzqAhZe7mmj5b\nPxJPnjzQ10D7q2+4nAcfu6/46/VDTSYIY2pd3bCxDNvydRLBRhZcdYvf4Qwa1TRKWTVPL6Y8+zup\nKqYX9uGjWzZ7E1QWSxDG+OTIb/+QIZveJLRuMhs2d/gdzoCWmrfMqyqmgNOZfNJeeJvSknV5UkEB\nOay9sTKzvFqCMMYndc1jiYx9hXh4BPdceZ3f4QwKXi05KjF3lFt74dNkvLxuRdfzkBOmMzLWfVU9\npZyaTBDWSG0GirkXXkh9+0c47w0n7tVaBSbNq8n6+tGuvEZWdj0f2dZ3iSCRqMKBciKyj4hcLSKv\niMhqEXlPRB4UkS+JiC+txNZIbQaKpnFbEok8Tywyhbuus7YIr3nVzTU9bXLhhwQS6SUHDn/z9Ix3\nqmd8RK8JQkT+CpxBcnnQI4AJwCzgEqAeuF9EjvY6SGMGsk987fOEYpvY9LzNz+QZt2uQV1VMXYo4\n/ZjWj3U9b4oN9yCY0vVVgvi8qs5X1QdU9UNVjavqZlV9UVWvUtWDgKcqEKcxA9a4bXejIf4MsbpZ\n/OPBv/odzsBWRb2YpIrGO+TTa4JQ1TWp5yIyXkSOduv/x+faxxjTP7udvAeiypJ7n/M7lIFJvR1J\n3epOpLc51/lXv5nzmIDmGxmdZyS116WfHApqpBaRM4DngHnACcAzInJ670cZYwq1wxHzaOh4mQS7\ns2TJW36HM2B5NZvrhlhyXML6XCvjXr2XJ9eshEJ7MV0A7Kqqp6rqKcDuwLe8C8uYwWfC7mGcUCOP\n/vxGv0MZeFLDk0soQbRG49zw5JK878eDkZzrxC+qy7dwZ+5Y2t98mYRT+R5LuRSaIJYDmzJebwLe\nL384hbFurmYgOuy884i0fwAt29PR0eZ3OANSKY3UP3/gGT564vw8543w5P4/ZfW4I3u8d+KkCTmP\naWrLHcvi9w/ntlN/3WO7H0mjr15MXxORrwEfAM+KyKUi8j3gGeCd3o71knVzNQNRIBCgYeQSog1T\nuOfnl/sdzoBUSoLoXPM9/rhF7hKE49QD0NK8e8HnC/ZS29XWtENRsXmlrxLEUPexGLiPdJnofmBF\nvoOMMf1z1IVfIhhvo32RffnxgpYwmODDYOFrPSScBLHOZCO05Jlzqfr7MEG+yjEAVPX7lQrEGAPN\n40ZTry/TFtmDRxbcxMfnzvc7pIHF455AqZv+Qze+xpKXVvOlaw/hkLc/X5ZzV91IahG5XkRylnVE\npElETheRz3oTmjGD024nH4AGQiy+L3f3SNN/5Z7NNXsAder1kpdWd+2z1drCq52qTV9VTL8Gvisi\ni0TkLhH5tYjcLCL/JDlAbihwt+dRGjOI7HTo/jS0vwG6F8uWvOh3OANKKW0QodiQspUGkkqrZGpd\nv6nvnUrUVxXTf4ATRWQIMJvkVBvtwCJVta83xnhkzA51vLd4BA//302c+bPd/A7HABOXH8nI9Tt3\n25Zdcqhku8L6tStoGjHU02sU1M3VnV7jcVW9U1Xvs+RgjLeO/OqphDvXEli7Ix0dtuJcqVLjE7SE\n2VybWnsem6+KqcCgipK9JnUlFj+qyem+jRnoQuEQDUOW0tG4NXf/+nt+hzNwlHBPbW4ZfNOxW4Iw\npkodev4pSCJG+3+aS/rma9I8+9bdr7ql0iqkNO9cTuVTkwnCRlKbwWDCtHHUx1/HqduTx/9+jd/h\nDAheJYhKVPckfPiSUOhkfVuLyA0i8ncReTT18Dq4fGwktRkstj5qNk6onjfvWeR3KAODx+sFDTS9\n9mLKcBdwLXAD4H25xhgDwMfm7c8bD9wKug9Ll/6badP28zukmlbaN/3qSgMeTUzbTaFVTHFVvUZV\nn1PVF1IPTyMzxgAwbAZEGybw0NU3+B3KAFDKTT5/m0GgAslDs9YsV7zPEIUmiAUi8kURmSAiI1MP\nTyMzxgAw5/yTCcZbqVuxI5tbV/kdTk0rZ1NBZmmkf6ctrpG66qbayHAKyTUhngJecB8LvQrKGJPW\nNCRCfWQZHUN24k83fcfvcGpTaj2Ikhp6s9JAZrapQO1T1TZSq+q0HI/pXgdnjEna9+xjUYS2hcNw\nqmQxmcGn+zf+0rseF5dVnHiVJggRCYvIl0XkbvdxroiEvQ7OGJO09U5TiMQWI6H9ePThn/gdTs0q\n52SuGnfousn3q+6quCqmSox7yFZoFdM1JJcZ/bX72N3dZoypkEkHbUOsbhhv3fuG36HUIPcGXlKG\n6H5sZpVPuj2imJt+sW0QVVqCAPZQ1VNU9VH3cRqwh5eBGWO6O/yzBxDuXENj27688fZDfodTY0pf\nkzpbwkkgFZymL+FUb4JwRGRG6oWITMfGQxhTUYFggIaJMdqGzOSRG6/3O5yaVM5eTHEnRiXHRiQS\n3W+5lUgYhSaIC4DHRORxEXkCeBT4undhGWNyOfwrRyOJThrf25l165f6HU4NKt8N3YmlOwuUspRp\nwRJV2gahqo8AWwFfdh/bqOpj5Q5GRI51p/S4X0QOK/f5jal1Y8cMpS74Ph1D9uD+313idzi1p4z3\n8URmo3FF8kOVVTGJyCHuz3nAHGAmMAOY427rk7sC3SoReTVr+xEi8qaIvCMiFwK4a02cCZwKfLro\n38aYQWCnkw8iEYzQ8Wwzsc52v8OpKeWcVK/7Ddv7XkyJrNirYT2IA92fc3M8jirwGrcCR2RuEJEg\ncDVwJDALOFlEZmXscon7vjEmy54HbEU49gF1sj8P/eMHfodTW8rZzdVJd3NV9b6RWrPGv2gFJmPq\na8nR1Eoll6lqtwpPEZlWyAVU9UkRmZq1eU/gHVVd4p7r98AxIrIIuAL4q6raYrzG5DF890msfgUW\n338PeqQiUsnFLmtXeUsQTjrh9OO8Bf+LaQIkgOMorz37z6KvU4pCG6nvybHt7hKuOwl4P+P1cnfb\necChwAkick6uA0XkLBFZKCILV69eXUIIxtSuuacdQDC+mREt+/Hyq3/wO5xBIfuGHk/EMzZq7p3K\nKKEOK95e7N0Fcui1BCEi2wLbA81ZbQ7DgPoSrpvrY1RV/SXwy94OVNXrgesBZs+eXV3z7xpTIQ0N\nIepGdbApuCOP/e4n7HLFSX6HVOVKHweRfWSyBKHd38zeqSzToqSukSDeUdk2p75KENuQbGsYTvf2\nh92AM0u47nJgSsbrycCHhR5sK8oZA5/44idAlRHLdmfFylf8Dqc2lLMXU0YbRL6iw6pnniz5OuJe\nYsnLL7LpwXUln68YvSYIVb3fHTV9lKqelvH4sqo+VcJ1nwe2EpFpIlIHnAQ8UOjBtqKcMTBlyxHU\nhT6kY8i+PHD7d/0OpyaUczWIhDpds8Tma9tobYkWccbexR6OsmrsPkUdU6pC2yDOEZHhqRciMkJE\nbi7kQBG5E3ga2EZElovIfFWNA+cCDwGLgD+q6mtFxm7MoLfb/xyAE2og8OJk2mytiL6Vcba+RFz7\nrLJafM9fy3Cl5DVWjdu7DOcqTqEJYidV3ZB6oarrgV0LOVBVT1bVCaoaVtXJqnqTu/1BVd1aVWeo\n6uXFBG1VTMYk7b73NELxD5C6g3jwrm/6HU7V0q5v6+VLEMlurr2ftv7193O/UdyVcm+uwMjqQhNE\nQERGpF64q8kVup512VkVkzFpkw/bnmj9SNY8GicR6/A7nOpWzm6uiTjpcRD9CKUCE/yVqtAEcRXw\nlIj8QEQuI7my3I+9C8sYU6gjj9+FYHwN9c7Heerh/+d3OFWtrEuOJtKN1Plv9f15J2u/CoyYzqfQ\nuZh+AxwPrARWA/NU9XYvA+uNVTEZkxYIBmjafhStQ7fktXtfKXFZzQGujKOPE07GmtT9KkGURh3v\nE0ehJQiAkUCrqv4fsLrQkdResComY7o77qz9CTitNG06hDeev9HvcKqWlrGR2imgDWDluNl53yu1\ngqkSM8gWuuTo94BvARe5m8LAb70KyhhTnCFNdQTHx2gZvgOP/fYuv8OpOqmFfTSRGr9QukLWpP5o\nfDl6HlV5FRNwHHA00Aqgqh8CQ70KyhhTvKPPPQzROENXHsjS1+/zO5wq497MtXyliOR031kjqSup\nAvNvFZogOjU5EkQBRKTJu5D6Zm0QxvQ0ftwQgsM2sHH4Xjx0y6/8Dqe6aLoEUbZZUEtsgyi8kinP\nyatguu+UP4rIdcBwETkT+Adwg3dh9c7aIIzJ7fBzD0cFhizblw/f/rvf4VQR92aagES8PFVM2UuA\nFq+wBFELvZh+QnL21ntIzs/0Xbex2hhTRaZOHUGgfjWbhu/Lg7dYT/S09HiFQhqXeztHSve5mFwD\nbNr1Qhupm4BHVfUCkiWHBhEJexqZMaZfDjznUBKBEJG3Z7N6aemTxQ0EkrGwT38bqbMHtiU0QSlt\nEANpoNyTQEREJpGsXjqN5EpxvrA2CGPym7XdWAivorV5f/58y/f9DqdKJNI/ylRl060Xk/ZjOnEp\nZpRBT9lLkHqh0AhFVduAecD/qepxJJcK9YW1QRjTu71POxAn1EBw0c6se/9pv8OpAulpuZ2MG3tq\nFtZHFq1kc7SvtRuyq5gSXSWT9IJBhZcKtOAEUeVtEICIyD7AZ4G/uNt8m4vJGNO73XefBPIR7cMO\n5t5bLvY7HP9pupFa1em2eemaVubftpAL7nq5qFMmnNJ6Q2lR45T9UWiEXyE5SO5PqvqaiEwHHvMu\nLGNMqfY+7WPEw03Uvborq5b9y+9wfJZqKxA0oxdTPB5nbetGhmx7EYtaiixpaXosc79qe0qsYipk\noF6pCu3F9KSqHq2qP3JfL1HVL3sbmjGmFLvvuQUSXEnbsEO476bv+B2Oz9KNyU7G3TwejfJhy/t8\n4ZmfM6L9zV7P0GPBoISTUcXUHyWWIMo4r1Q+1V/GycEaqY0pzMfOOggnGKFx0V588Maf/Q7HR24v\nJgLdFg2KtrfhrE+WKGa/v2+Rp8xspO5HRAOoDaKqWCO1MYXZaecJEFnDphEHseCmKysy+rYadX37\nV3G7pyZ1tLdTt/Q9AEZtKq77a2YbRH86rBaeIHKToPfNwDWZIIwxhTv4ix8nEQgybOn+LHv5Dr/D\n8UXXmAOFREbdfWd7K+ImDOkjd2bPnpoouYqntHEQ6vTV66p0hQ6U+7GIDBORsIg8IiJrRORzXgdn\njCndrG3HQOMGNozcn7/ccu0gXS8ilSDEXegnKRqNQqCw78nZt/NkI3EJK8pJsMAdq7+K6TBV3Qgc\nBSwHtgYu8CwqY0xZzfnqYQAM//CTvPjPn/gcjZ8CJDLaIDrb24s4tvuNutReRKVWMVVCoRGmptX4\nJHCnqq7zKB5jjAembtlMaFyUDaP24qnbH0E7i7kxDgTS9bNbFVO0g0ChN+qsIkT3Gqbiq4sKTRAF\nlzQ8UGiCWCAibwCzgUdEZAxgq6MbU0M+/Y3DCTibaW49jofuOc/vcCosVcUU6HZnj3d2ds2S0aes\nmp7MNan71dGowASRCDXk3O5Uy5KjqnohsA8wW1VjJBcOOsbLwHpj3VyNKV5zc4QhOw9nY/PWvPfn\nTUTXv+t3SD7oPtVGLNpJqGOd+05fh2ZVManmSAzVPwFfMQptpP4UEFdVR0QuIbnc6ERPI+uFdXM1\npn9OOns/xFlHKHgsd99ylt/hVI5kNlKn7+qxWCdCoW0JOXoxieZ4Z+AotIrpO6q6SUQ+BhwO3AZc\n411YxhgvhMNBph+1He2N44g/PYMVg2ZRodQ3+0C3xmUnGsv40t/Xt//u70sikU4MqVNWMFOUbWW8\nXhSaIFL9wuYA16jq/UCdNyEZY7x0+NGzILCa9uY53H3tDwZJt9d0I7Vq9xIEAem2R37d7/7JNoDU\nGIrUOSqXIbLHZXih0ATxgbvk6InAgyISKeJYY0wVEREOOz+5qNDI9+by1EOX+B1S5Wig21KhiVgc\nKfhWltUG4Tjp6ik3QWgFV5STClyr0E/mROAh4AhV3QCMxMZBGFOzttpqFHVTEmwYNZtX7nidzg3v\n+x2Sp7RbFVP6Ru/EYv1eJVTjDoiTuoCrggmiAt/RC+3F1AYsBg4XkXOBsao6WCovjRmQPnvBoUh8\nPXXyaf5ww2l+h+OxVCN1sFuVmhOLZ4yk7uvmntVIHYunt3WdsnIJIqH9XVu7cIX2YvoK8DtgrPv4\nrYgMto7UxgwoDfVhZh6bbLCWZ3dm8Uu3+x2Sh1I37lD3RurOaFcPpz5r9LPu/U7MoSszaMA9RwUT\nRGfM82sUWkaZD+ylqt9V1e8CewNneheWMaYSDjtqFhJZy8aRR/CXa3+D0z7AxxZJkERmKlgZ7arL\nL7qROhYnXXQotBRSPp2d3o9VLnjJUdI9mXCf+zYixAbKGVM+n/ruHETbGdb6Of5wk3dzcP7n21/m\npXM+79n5e9VVSgjjOOlb2UdJZ+l6AAAb8ElEQVQteyOBoPtecbc0J+aAdC9B9LtBox9i7VHPr1Fo\ngrgFeFZELhWRS4FngJs8i6oPNlDOmPIZM6qRKZ+YQuuQKSQe35ql//mtJ9cJ3fc44SeLW/e5fNJV\nTNndeoPB/n37T063nZUgKvi9OR6rkgShqj8FTgPWAeuB01T1514GZoypnKNO3BXcqqYHf3Ub8c2r\nyn6N5/a4mH/v8//Kft5iqIR6zJ4dCrkL7/Q5N1JWI3U8PZI6dSutZBuE01kF60GISEBEXlXVF1X1\nl6r6C1V9yfPIjDEVdeJ35yDaRkPnqdx29WfLfv72hjHEw0PKft7CuDduCXWb7huArhJEH7fDrHt/\nckW5VGnEnXG1glVM8Vin59foM0Focjz3yyKyhefRGGN8M2ZUI7PmbU17wzgiCw/guYe/78l12ts2\nenLe3qS+2StBNLt7aKB/3/7V0fTIaT+qmKqoF9ME4DV3NbkHUg8vAzPGVN6BR25H3fh2Wkbtx39v\nepv17z1T9mtsWrOi7Ofsm5sgAqEeC/10JYZiq5gczaiu6l9DdynWPrfU82sUmiC+T3I1ucuAqzIe\nxpgB5tRLPgmJ1cSGnMxvr7yQREd5v/GvX/5OWc9XDJWejdTpOe+KG5ms3aqqKt+LqTM+1PNr9PqJ\niMhMEdlPVZ/IfJBMpcs9j84YU3HhcJBPXnQYKsqQDfO57ZcnlHVd5FXLlpXtXAVLdXOVEJqn90+x\n8yhpIrO84FZTVXAZUalAaaWv3+bnwKYc29vc94wxA9C0aSPY9piptDVOIPTC4TxaxhXoWj5aXbZz\nFS55M00EQmi8+3Kr6jY0K0Uu7dmtIJI6toLDwwpeCq//+koQU1X1leyNqroQmOpJRMaYqnDwUTsw\ndKbDxhG7svwPYRa/cGtZztu+Ptd3Tq+l2iDCRFu7D7ANtroJq88SRPZsrpmvQt2uUwmq/k/WV9/L\ne7kXSjXGDBif/8ZhSGQ1m0bN5dGfPsS690tvtI5t9r73TSbNqh5r27gBgEh0PQChF/7kvlNcN9du\nJQiJJK9VwTaISrR39JUgnheRHnMuich84AVvQjLGVAsR4fQr5hFwVhJvOpU7Lruc9hLXsnbaK7tA\np5NQMu/ubS3JRvdwZ7Ik81z7t4FC2g+y4nakq9dSwk0QFZ3uuwpKEF8FThORx0XkKvfxBHAG8JVy\nBiIi00XkJhG5u5znNcaUpr4hzIlXHI04Gwknzuam752B07au3+dLdBZZ118GKkLASU5u17Ep2Uhd\nF9uctU+RN1wn/XtooK7rOhUT8HkktaquVNV9SXZzXeY+vq+q+6jqR32dXERuFpFVIvJq1vYjRORN\nEXlHRC50r7VEVef39xcxxnhn1Kgmjrj4EFTi1G88h+svOx7tbO/7wAwBJ3ljTjh+1E4LgUQyQcTb\nklVcneGstpAiE4RqqOt5IlD5EsShF53g+TUKnYvpMVX9P/fxaBHnvxU4InODiASBq4EjgVnAySIy\nq4hzGmN8MHX6KPY5e1di4XrqVpzNDf97LBovpj3BvXk6wz2JL59UxZAkkgkqHnUbD6S1uBP1aINI\nJwgn6CaICnZz3WLrrT2/hqe/jao+SXKCv0x7Au+4JYZO4PfAMV7GYYwpj5332JLZn5lBZ90wgktP\n5Zb/PRqcwqo60lU4o7wLMNd1neTqBPXRZAki0en2aAoWVwLqcV7C6eeBUC971q7Kpbu0SUDmArjL\ngUkiMkpErgV2FZGL8h0sImeJyEIRWbh6tR/9qY0Z3PY4eFt2/fSWdNY1wzuf5/YfFpYkUgkiVjea\nDRsr9/9uoq0dRAi6bRCJWDJBBCIl1uFrHXmrlDSRe3uN8SNB5PpEVVXXquo5qjpDVX+Y72BVvV5V\nZ6vq7DFjxngYpjEmn70P3Z6d5k2hIzKC2Fuf5Y4rjuk1SWhCQQIE45uJ1Q3jmft+V7lgA8kp9Trr\n3NlPHffbfkM47yGFUOryvhfpeK+kc1cLPxLEcmBKxuvJwIc+xGGMKcF+R+7IjsdOJBoZScebn+EP\nPzoub5KIu6u4hZ0lAHz47JKKxZkcByHE6t3YHDcxhIrrTdWjg5LkTxAFrHBdE/xIEM8DW4nINBGp\nA04CipoZ1pYcNaY67D9nZ7Y/ZjzRyEha3ziJu358PCScHvvF3MbsQHAVwXgrgfUTewxg85YggWQM\nqvlv7CtXr8m5/aJb9iSa6N6orV1jH3KxBNEnEbkTeBrYRkSWi8h8VY0D5wIPAYuAP6rqa8Wc15Yc\nNaZ6HHDUrsw6ZizRyEg2LjqRe6/8VI8ZU2MdyR5EIg51wTdob9qZf/zpmorEp04iOT5B3Comjbix\n9Nz3xUcfznmOyc9egROe022bE2zsJQ9YguiTqp6sqhNUNayqk1X1Jnf7g6q6tdvecLmXMRhjvHfg\nUbuz3VFj6IyMZP1rx3P/T0/qNgNs1E0QiLLzp/YlEQjzwV3L6Yx7vypa+mbtIIkYkP7mv+W7f+u2\n5wcvLu55dCJ3g3M8NKSXUQ/WSO0bq2IypvocdMxstpszis7ISNb89xge/FV6lp5oR1vySUDZ/dD9\naJT/0jrsEG77+hc8r2pSJ941PiGQiKKpKeYEEpHXu+3rrBnR4/i4k3ushwZCSCLSNUI7JdbeipUg\nfGRVTMZUp4OO3ZNtPzmCzrqRfLjwQF7++7UAdLQnxxyIW69z3OXzCcdX47Qex40Xnu1pkkik2kQE\nAokOVFIJQpj7pwVd+9W3ryEe2oY3Fy3KOkH+2JRGAonupaAlL/4bobITEnqlJhOEMaZ6HXzc3kzd\no41o/QSe/+0aEq3riLkJgkDyZjt81DAOPX8PAtpGfN1x3Dj/bDZsyt1AXKqE24NKANEoGkgmCBFB\nRLqmAKl3nkVQHr1mQdbx+auLVIb02LbkPy+DJQj/WBWTMdXtyLOOp1H+Q7RxX+784Tfp6EgliPQ+\n03eYydyL9yWcWE5n3Uncd/at/OnWK8seSyKz661GSQTSJQiAoJOctC8xqYER658mEd2Vl194Pn18\njtJNMJacx8kJDgGFUCw9r9P6tz8A8X4ivUqoyQRhVUzGVL9P/++ZhDvX0758L2Ibk6UDyeo6NGH6\nZE679jRGNL1E25AdWfmvWdxwytd55qm/5Tplv8RT80VJAiGKE3InC5TU5s1dryd9YiRBp5N/X7ew\nq9pLc3TbTSWVeGgICASd9Lrd8XURyt0G0dC4oqznK1RNJghjTPVrHNlMpOkNovUzePOJJwCQYM9+\nP8FwiM9c9XUOP3Ms4cRSOhvm8MqNHVw//6v899WFJceRqmICBYmhkhwgl0pWosmbvSTiHHDmuQzf\n9Dc0sA13X3Nd8vhcvZg0WWLQQNg9Nl2CUGdiyTFnGzG5e4KI6GNlv0YuNZkgrIrJmNpw8BeOR9Qh\nunIyABLI3zF0xh67Mv/mc9ntwA0EdRWx8NE8c9UyrjvrfF5/+41+x5CqYhKAQEaDspsgAiR7WDnx\n5Ov9v3MmTZvfY82LY9m0bh2528+jbpdZQBUhXYKIRrYsfyemrI8t3NCzVOOFmkwQVsVkTG3YYta2\nRNrfIx5KzuhfyGzY+5w8j9NvPpPtd12K0EI8MJd/X/4K153zdd5YVvxqdk6qkVkUQhk31q6bbrKb\nqsaTJYtJO+xE06j/kAgO447LruvehpFxaCieseBQINnGEoqtJVY3jEBiWNFxVqOaTBDGmNoRCC0n\n4a6XIMHC5j8SEQ46ez7zbzqNbWa9jtBKnDn869JnuPZLF/DWe4XXyTsZVUwSSn+17yrNiNvW4KTf\nm/fjHzNi3VPE22fz33/lrs4JOKlqJUXq3WNlLeCWInrTj9leT/3RfoQ7ew7k85IlCGOMp+rGpZOC\nhIpbcU0CAQ798rnMv+l/mDHzBaADxzmSJ7/7GL8+70Le/6jvpU+1q4pJCdSlr59qL1e36y0ZhYtg\npI4tT5hJONbGf/+ca2EhRTS9/WNnnwLAPqcfhCQcnFB9Mb9mQZqaIwQdb7oC51OTCcLaIIypHRN3\n2qrruRQ5g2rXccEgR3zjAk6/4WSmTnkKxUFjh/HQt/7KDVf8nEQvg9m6qogEgvXphX26Gqndu6Bm\nVevv9+nPMDT6MIngFjnPq6QTxFa7zuBL1x7CTvtuSyj2QT9+wz5klzgqNFC7JhOEtUEYUzt22HfP\nrucSKm3ltUC4jjkXX8Lp1x7PxLGPkAiE6Vy6A9efcRkr1+X+wuh0JQ8lPCRjBlY3QahbxSQ5bro7\nnnJEnuoghUAyQfSYBVxW9f2LFLv+dVef3KIOK1lNJghjTO0YvcXUrueBcHmW5gzWN3LcZZfzqW9N\npTH6HE7d/iz46q28vbTnt3cnnq5iqh+WHvmcukeL+3Vcc9x9dzjsKIZuejN3ECF3hbqs5Ualrsi1\nrosgFZ7jyRKEMcZTmYPjQnX9q2LKZ8S2e3La9V9lRGAB0YbteeJ797M8q10iHksNlIOmkcPTcQW6\nlyDy3g6DuaqMFIkk66ScUPfpNsLDyn8Tz04MlUoTliCMMZ4TdzRypLGh/Ceva+Qzv/oJoyL3EW3c\nlge/dQOxjPmTHCc59kFEGDZuXDqmVBtEKkFo7vobbco9r1Igknv/htFDi/4V+pIu3aRirUyKsARh\njPFc0B0z0Dx6gjcXCAQ56aqf0NT5D2INe3Dz93/R9VY85i5WBIydmB7lnN3NFc19OwwNy1HqESUQ\nyb3/0NH520aHBB/t5ZfIOMe4J3Nur/Qk4jWZIKwXkzG1ZVxHcqqNydOn9LFnCcL1HH/JPCIdHyDv\nT+a9FckxCZm9mMaMH9O1ezpBdG3JfdohOUo9CqH6cM79h08cnzdECRR2i49kV8W5De3SkEy0kVFN\nBZ2nVDWZIKwXkzG15dD/PY9Dpj/BFjvN9vQ6Q6fPZtTkZ4lFRvHXH14PQDzqliACARoybvZdbSN9\ntEGEGnOMaRAIN+Zek3rS9K1ybk9eM/mzvmN5L79Fz0kNUz7zs0sZNfNlTvruxb0eXy41mSCMMbVl\nyNQZbPfN7xc8kroUR13wbSLtywhs3IK2aIxON0EQChAMp295Xb2YUuMg8rRBhBsbe2xLSIjI0Nzf\n4sdPnZ43NgX2OyzCiT+ck3efZExZsbiv6+sjnPSN8/MmkHKzBGGMGVDCzROJDH2JzvoJLLjlXmId\nye6oEgp1u7FKIHn766xLzpsUC+RuQA9HcnXNDdM0PHdjdF1d7pIFAKrsMm8/hk4Y1fsvEcy6Nfcy\nENBLliCMMQPO/ifugSQcWp5/m3iHW8WUNYo74CaIVC+mXOMgAML1udogQjQNH95ze1/ylFKyBbIG\n0vm1wrUlCGPMgDN1nxOJRBcTiG9JrCPZSB3Mbvh1737RiS1M+uAJ1je/mPNckca6nhslTNOIkUXH\nVUjv1I+PO4NAwPuquELUZIKwXkzGmF6F6wnUvU20YRItHyWn4g6Eu990xf2W/vkvXsxDB77OyZf8\nKOepdth6Btstui1ra4iGoeWf0nvih/9k24te6nXdjEqqyQRhvZiMMX0ZuWXy63rHymRiCEa6lwQC\n7k14eMMwrvnGXUwbmXsluOZZe7LznMndtqnUMWRYPxJELyWIxraVbPvW76G+mZ0O/mTx5/ZATSYI\nY4zpyy6H7pOcaM9dAjTUkNV4XMTaFKO+eXnWxhBNQ/rRBpEpaxLAzNwxfeft+NK1h1Df/k5p1yiR\nJQhjzIC0xS5HUBddSbQhOV13OGuaj1C4l95GfVBC1DcVVoPR2Pls+riMRmrp0SBRHdVKmSxBGGMG\nJKkfSkDTA9LqG91J9dyFH0L1ORqfC6QSJBwqLMFocFPO7aFYelLBptYVbPP2H3o5SVHhlU155t41\nxpgqJJGVXc8b3DYDUQeVIHWhEr4fS7DXwWr17WvoaBid2jn9RsaNfodTGnjp98nnJzSeT3B2Aqcz\nK6YKTcqXj5UgjDEDVv3ojq7nQ0ePBUDcun/VjpzHFEKl9+/Wew35LUM3LnNfpRNEZhXTvgcd3fV8\nyLGn07DvJxiyY561rH2qfbIEYYwZsKbtnO6ZNGbqJABC8cUANI4Yk/OYQmgf4xR2uPoBYuHk+IuQ\n5C5BdHPkFXDynXDu8902jz8kmdT2/9z8fsdaCksQxpgBa6e9P971fMzw5PQWcy49jonbvMzsw04s\n6lxD1z9S5NWT2aBpUmZbRfeiwEvj7+fd5ufynmHOqcfxpWsPYez4Pqbm8IglCGPMgNU0cVckllwR\nLuh+65+45WSOO//8os+1/+Vz2f7I5GjrcOeGAo5IVmUlwkJ9PHdyOeWME5h9ev7J/fxWk43UIjIX\nmDtz5ky/QzHGVLNwPfUH/I32YBNwSEmnmjZzb6bN3Js3/vx5hu6zJTCv1/0TwY+AbRg6qo6NS9qS\nG7OqmPafvH9JMXmtJhOEqi4AFsyePftMv2MxxlS300/5XVnPd84Ntxe033Ff25O/3PITDvvcb7hl\n4c+SGwucrK9a1GSCMMaYajd6hzmcclVy3QftKjpYgjDGmEFhx1evJxEI0Vf1VXpK8dpiCcIYY/pp\n4rX/U9gqeV2rm1oJwhhjBoWZOxQ362qtlSCsm6sxxnhNarMNwhKEMcZ4zk0QNVbFZAnCGGM8lp5t\nwxKEMcaYTL3M/FrNLEEYY0yl1FgrtSUIY4zxWm0WIKqnm6uINAG/BjqBx1W1vOPjjTHGL9YG0ZOI\n3Cwiq0Tk1aztR4jImyLyjohc6G6eB9ytqmcCR/c4mTHG1KhU5yWxBNHNrcARmRtEJAhcDRwJzAJO\nFpFZwGTgfXc3x+O4jDGmYlLLmwYsQaSp6pPAuqzNewLvqOoSVe0Efg8cAywnmSQ8j8sYYypp5ojk\nUqIj6ob6HElx/LgRTyJdUoBkYpgE3AscLyLXAAvyHSwiZ4nIQhFZuHr1am8jNcaYMthx/vE0xdex\n9zlH9L1zFfGjkTpXGUtVtRU4ra+DVfV64HqA2bNn11inMWPMYDRk0mhOvfEEv8Momh8liOXAlIzX\nk4EPizmBiMwVketbWlrKGpgxxpg0PxLE88BWIjJNROqAk4AHijmBqi5Q1bOam5s9CdAYY4z33Vzv\nBJ4GthGR5SIyX1XjwLnAQ8Ai4I+q+pqXcRhjjCmep20Qqnpynu0PAg/297wiMheYO3PmzP6ewhhj\nTB9qsjupVTEZY4z3ajJBGGOM8V5NJgjrxWSMMd6ryQRhVUzGGOM9Ua3dsWYishp4133ZDLT08jz7\n52hgTRGXyzxnoe9nb/MzxmLjyxVXrm1+xmj/zqXHlyuuXNvs37m6Yiw1vuGqOqbPCFR1QDyA63t7\nnuPnwv6ev9D3s7f5GWOx8eWKp9pitH9n+3e2f+f+x1fIoyarmPJY0Mfz7J+lnL/Q97O3+RljsfHl\ni6eaYrR/58Les3/nwmLo6/1qirEc8fWppquYSiEiC1V1tt9x9MZiLF21xwcWYzlUe3xQGzFmG0gl\niGJd73cABbAYS1ft8YHFWA7VHh/URozdDNoShDHGmN4N5hKEMcaYXliCMMYYk5MlCGOMMTlZgshB\nRA4SkX+KyLUicpDf8eQjIk0i8oKIHOV3LNlEZDv387tbRL7gdzy5iMixInKDiNwvIof5HU8uIjJd\nRG4Skbv9jiXF/bu7zf3sPut3PLlU4+eWrRb+/gZcghCRm0VklYi8mrX9CBF5U0TeEZEL+ziNApuB\nepIr4FVjjADfAv5YjfGp6iJVPQc4ESh7174yxXifqp4JnAp8ukpjXKKq88sdW7YiY50H3O1+dkd7\nHVt/YqzU51ZijJ7+/ZVFMSP7auEBHADsBryasS0ILAamA3XAy8AsYEfgz1mPsUDAPW4c8LsqjfFQ\nkqvxnQocVW3xucccDTwFfKYaP8OM464CdqvyGO+uov9vLgJ2cfe5w8u4+htjpT63MsXoyd9fOR6e\nLhjkB1V9UkSmZm3eE3hHVZcAiMjvgWNU9YdAb9Uz64FINcYoIgcDTST/h20XkQdVNVEt8bnneQB4\nQET+AtxRjtjKGaOICHAF8FdVfbGc8ZUrxkopJlaSperJwH+oYC1EkTG+Xqm4MhUTo4gswsO/v3IY\ncFVMeUwC3s94vdzdlpOIzBOR64DbgV95HFtKUTGq6sWq+lWSN94bypUcyhWf247zS/dz7PfqgUUq\nKkbgPJIlsRNE5BwvA8tQ7Oc4SkSuBXYVkYu8Di5LvljvBY4XkWvo/zQS5ZIzRp8/t2z5Pkc//v6K\nMuBKEHlIjm15Rwiq6r0k/yeopKJi7NpB9dbyh5JTsZ/h48DjXgWTR7Ex/hL4pXfh5FRsjGsBv24e\nOWNV1VbgtEoHk0e+GP383LLli9GPv7+iDJYSxHJgSsbrycCHPsWST7XHWO3xgcVYbrUQq8XoocGS\nIJ4HthKRaSJSR7Jx9wGfY8pW7TFWe3xgMZZbLcRqMXrJ71bycj+AO4EVQIxk5p7vbv8k8BbJ3gQX\nW4y1G5/FODhjtRgr/7DJ+owxxuQ0WKqYjDHGFMkShDHGmJwsQRhjjMnJEoQxxpicLEEYY4zJyRKE\nMcaYnCxBmEFBRBwR+U/Go5Dp1CtCkmtmTO/l/UtF5IdZ23ZxJ3tDRP4hIiO8jtMMPpYgzGDRrqq7\nZDyuKPWEIlLyXGYisj0QVHemzzzupOd6ASeRniH3duCLpcZiTDZLEGZQE5FlIvJ9EXlRRP4rItu6\n25vcxV+eF5GXROQYd/upInKXiCwA/i4iARH5tYi8JiJ/FpEHReQEEfm4iPwp4zqfEJFcE0B+Frg/\nY7/DRORpN567RGSIqr4JbBCRvTKOOxH4vfv8AeDk8n4yxliCMINHQ1YVU+Y38jWquhtwDfANd9vF\nwKOqugdwMHCliDS57+0DnKKqh5BcXW0qyQV/znDfA3gU2E5ExrivTwNuyRHXfsALACIyGrgEONSN\nZyHwNXe/O0mWGhCRvYG1qvo2gKquByIiMqofn4sxeQ2W6b6NaVfVXfK8l/pm/wLJGz7AYcDRIpJK\nGPXAFu7zh1V1nfv8Y8BdmlyP4yMReQySczmLyO3A50TkFpKJ439yXHsCsNp9vjfJBaD+nVzLiDrg\nafe93wNPicjXSSaKO7POswqYCKzN8zsaUzRLEMZA1P3pkP5/QoDj3eqdLm41T2vmpl7OewvJBXU6\nSCaReI592kkmn9S5HlbVHtVFqvq+iCwDDgSOJ11SSal3z2VM2VgVkzG5PQSc5y5Liojsmme/f5Fc\nXS0gIuOAg1JvqOqHJOf9vwS4Nc/xi4CZ7vNngP1EZKZ7zUYR2Tpj3zuBnwGLVXV5aqMb43hgWRG/\nnzF9sgRhBovsNoi+ejH9AAgDr4jIq+7rXO4hOa3zq8B1wLNAS8b7vwPeV9V8ayT/BTepqOpq4FTg\nThF5hWTC2DZj37uA7Uk3TqfsDjyTp4RiTL/ZdN/GlMjtabTZbSR+DthPVT9y3/sV8JKq3pTn2Abg\nMfcYp5/X/wXwgKo+0r/fwJjcrA3CmNL9WUSGk2xU/kFGcniBZHvF1/MdqKrtIvI9kovYv9fP679q\nycF4wUoQxhhjcrI2CGOMMTlZgjDGGJOTJQhjjDE5WYIwxhiTkyUIY4wxOVmCMMYYk9P/Bxa4JyWs\nTLCDAAAAAElFTkSuQmCC\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYgAAAEOCAYAAACTqoDjAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nEMYYY1L6/8Lpr4E7p68dAAAAAElFTkSuQmCC\n", "text/plain": [ - "" + "" ] }, "metadata": {}, diff --git a/tests/unit_tests/test_data_neutron.py b/tests/unit_tests/test_data_neutron.py index 54d815eb66..0ed3e92f77 100644 --- a/tests/unit_tests/test_data_neutron.py +++ b/tests/unit_tests/test_data_neutron.py @@ -286,7 +286,7 @@ def test_rml(cl35): def test_mlbw_cov(ti50): #Testing on first range only - cov = ti50.res_covariance.ranges[0] + cov = ti50.resonance_covariance.ranges[0] res = ti50.resonances.ranges[0] assert cov.parameters['energy'][0] == pytest.approx(-21020.) assert res.parameters['energy'][0] == cov.parameters['energy'][0] @@ -300,14 +300,14 @@ def test_mlbw_cov(ti50): assert not subset.empty assert cov.cov_subset is not None assert (subset['L'] == 1).all() - cov.sample_resonance_parameters(1) - xs = cov.reconstruct([10., 100., 1000.], res, 0) + cov.sample_resonance_parameters(1, res) + xs = cov.samples[0].reconstruct([10., 100., 1000.]) assert sorted(xs.keys()) == [2, 18, 102] def test_rm_cov(gd154): #Testing on first range only - cov = gd154.res_covariance.ranges[0] + cov = gd154.resonance_covariance.ranges[0] res = gd154.resonances.ranges[0] assert cov.parameters['energy'][0] == pytest.approx(-2.200001) assert res.parameters['energy'][0] == cov.parameters['energy'][0] @@ -321,8 +321,8 @@ def test_rm_cov(gd154): assert not subset.empty assert cov.cov_subset is not None assert (subset['energy'] < 100).all() - cov.sample_resonance_parameters(1) - xs = cov.reconstruct([10., 100., 1000.], res, 0) + cov.sample_resonance_parameters(1, res) + xs = cov.samples[0].reconstruct([10., 100., 1000.]) assert sorted(xs.keys()) == [2, 18, 102]