sony1125 发表于 2023-7-6 19:13:46

现场收集的数据是非正态的,如何处理?

制造现场收集的CCD检测尺寸宽度的数据,数据个数大概700个,去除一些异常数据,正态检验结果数据不正态,请问各位大牛,非正态的原因?非正态怎么核算其过程能力?需要数据转换吗?

data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA2AAAAJACAYAAADrSQUmAAAgAElEQVR4Xuy9zcteR7bevfU/9CTqOMFBggyMBoceSYE+PXBAJhOL8wo0OAQafwRiSwLPRIM4EHpmsOwTiD/QpAcGGeRJkCE96G5oaWQyED0IWInpmO5M9D/opZ7ueno/W/tjVdWqtWvt+t2Tbuuuj2v/atWqup7a997n/vf//t8vBj4QgAAEIAABCEAAAhCAAAQgUJ3AuWDA/s2/+TfVO6IDCEAAAhCAAAQgAAEIQAACPRP4P//n/wwYsJ4jgGuHAAQgAAEIQAACEIAABMwIYMDMUNMRBCAAAQhAAAIQgAAEINA7AQxY7xHA9UMAAhCAAAQgAAEIQAACZgQwYGao6QgCEIAABCAAAQhAAAIQ6J0ABqz3COD6IQABCEAAAhCAAAQgAAEzAhgwM9R0BAEIQAACEIAABCAAAQj0TgAD1nsEcP0QgAAEIAABCEAAAhCAgBkBDJgZajqCAAQgAAEIQAACEIAABHongAHrPQK4fghAAAIQgAAEIAABCEDAjAAGzAw1HUEAAhCAAAQgAAEIQAACvRPAgPUeAVw/BCAAAQhAAAIQgAAEIGBGAANmhpqOIAABCEAAAhCAAAQgAIHeCWDAeo8Arh8CEIAABCAAAQhAAAIQMCOAATNDTUcQgAAEIAABCEAAAhCAQO8EMGC9RwDXDwEIQAACEIAABCAAAQiYEcCAmaGmIwhAAAIQgAAEIAABCECgdwIYsN4jgOuHAASaJPCTn/zkRNe3337bpD5EQQACEIAABCCQRwADlseNWhCAAASGJ0+eDF988cVw//79VRq//OUvh1dffXW4ceOGiFoo//Dhw+Hjjz8eLl++LKozLRTaCJ87d+6s1v/hhx+GN998c7h06dLqdYRrvXnzZpaWaaWtvsblgxG9du3a5nWoCDNsJPJcu7af//znw9OnT0UmPLZnZdhDfD179mwz9sdI4/WUYv7666+HV155pbQZ6kMAAhDYjQAGbDf0dAwBCNQkEI3FtI8lUxNNz7j81mZ2bEqWyo7b3Wov9P3ll18OH374YRKauQ1p1LZldsab4g8++EBsEqcmaco1tPvWW29lG8jQfhjDX/3qVydmNFdb1FmiRzomKUYxGMu1sYnjJzXhUwM2pzkwDJ+l+ErRH+Mmtc6FCxdeMtNS8xjLYcCS0gOFIQCBBglgwBocFCRBAAJlBOLte0utTDfza+W3NsBjozc1WHETvNVG1DneNG8Zjlh2y2Ct3coYN9FBXzjJC6cta5tbjVOw8YZ9ySTnjP4Sr3Ef0nGY9q9lwLaud8xm7g8CY13T650zYL/+9a9PT6jCWL/++utnDHbUM+UivV7pOMV5ETTMGbB4yvmP//iPqydbGDApccpBAAKtE8CAtT5C6IMABMQEphvcOTMxvR1wySRFczJncEpvpZrTFXWEjfW//tf/+uR2vyVTETfn0tOHsMFdMp3jzXe8riUTtrQBDu1LTsCmt0XG8doym2sBsNbG1FjnGrCtAJT+Xm9N69icxHJzJ6ZLbaQYsDhe4Ta+cPtpKhfpbatTbnMGTDKX4hzEgG1FIt9DAAJeCGDAvIwUOiEAgU0CcSOcsqEPxmfpt1mxvakhWfpLfhAYzdHc5nlpAzk2X1HL0glXzjWOwY1PseaM1vhUbPr7s1onYHPmcG4M505s5gzJ1IgHo1r6m7ql4Jsbu6WyUgO2Fl/TNpYMTOA3dwL27/7dvzsxXWHsw2fJgIU4XjqRWouR8bWHcuPfR06va+s2xulvITFgmymQAhCAgBMCGDAnA4VMCEBgnUDcCEtPhSQ8l06EtA3Y3AlV0LdkeLZ+A7P0AI61U70xj7jx3bq9MdZZupVti/HWbXZb9affR9Mb9UROGg81WdIiPf0K9SUGLDysJfxGa2mMl9qYGv+l34DNGbC5vuJ1zZ1sTm9Vnf6+bmyAx22P582Y29yDVuZMHgYsdUZQHgIQaJUABqzVkUEXBCCQRGDr9rmkxv5aeO0ELGxCcz9bBmrc7vSEQ3K6N33C3nRDfPfu3ZPfe619gsZwOhI+U73TjXCqkdq6/iVDWmr0Um+12xrflNMvqQELTxac+51U1BLZT+Ng+sTEoG3tBCyY1alRnV7v1LjOPZVxeoq19mCaaMCCyRxrm8anNO62xofvIQABCLRKAAPW6sigCwIQEBPI/U3KWgdrTxHUPgEb65gzM9OTnFh+7YRKyiTnd1jj33zVOJXwYsBSTr+kBiy+NiDEwd///d+/9BTJOQM29yCYJQMWf18YDJhk7KKOP/7xj4tPTxzfbjvtd/rHhCVzOb1tNOUWXnGioCAEIACBRghgwBoZCGRAAAL5BKRmQ9rD0i1Usb6mAZuecKWc0sw9VW9cX2KuJGXG3KbmaOuJk1PmW6df0jFKKVfjFsTU069UA7Z0+jr3ePrprarxcfNzJ2DBgMV310kf/z7HOsRt+PzTP/3TEE5U42+91t55NzdvxvETT/XGc2L8RwaJYUyJC8pCAAIQ2IsABmwv8vQLAQioEZC81Fba2Xgzu2SGNA2YRFfNjafUgMVy49/YBRPy/fffn17C2kuf1253K3nsucTQ1TBgObe8zhnm8fhPf784d8I2Z8DiS5Hjb7PCLXzxwSPj9rfeA7Z0ojo2VXNxMPfbrqWnh4YTsHCbZbwFduvdeOPYCPMxPB1UMuaSeUUZCEAAAnsRwIDtRZ5+IQABNQJaJ2DSlyZLHp29dnGpG0gNA7a1+V/SO779Mfx2Z/yUxnjCkvIbsLVH8KdwSWGibcByDb/kIRxjEztnduYMWDyVDA/viIZm6RbE8RM/157YGeJhbH6CoQuf6dMkx3EV/2Axjoelh3CM4208n9YeopMy5mrJhYYgAAEIVCCAAasAlSYhAAF7Aku3bEmVxPqSpyjWOAFLvZVvel1zp3VxA712yiA9ARv3N711bempi+M6khOwpafxzY1JymZc24DltpdqwMYmKN6eNzVg8RQy/F4snA4tGbC5ebAUx+NT4MhearJj/3OvO1ibN1Hf2svIU8ZcOu8pBwEIQGAPAhiwPajTJwQgoE4gbhAlTwmcdi59r5FE9NapgqSNaZncjWf8nc74XUySlyGHeuG3PeFFvXOf6YuXpZvz0FbqCdjWI/olp2a5hmlprFIfvhHbyTFgoe74fVpTAxYfAR/KLRmwYGrCZ3z6NffgjqkJWjPuczEZuIzHI/Txq1/9aoinehIDtjY/cudBzpyjDgQgAIGaBDBgNenSNgQgYEZA8tutOTHxL+4pD79YuygNAzZ9r9J04xk1b5mPqXmZ23RPTcHW7ZxLJ41STWtjsPS4+1Bn+puilM24pgHLvf0wXEOuARszmzNgwWBPTyXHtyDOnYRKb7ddivUU/rGNqQEbn/pu/RYstJHTp1kCoiMIQAACCQQwYAmwKAoBCLRNYHz70tIDBcIm8PXXXz89DZh7t9HSVZb+9mva7tT0LemfbjzjyUL4PU74zJnHpYc1hDrTU4rw0IbxyeGSUQgb5sB1+iLelBOwuY32knmL/UVu45O8MZOgd3z6M+WsacBKTlo1DNgSqzUDFniMzfj4t2UhHqZjUivOJbc8jsduqgsD1nb+RR0EICAngAGTs6IkBCDggIDkiXpjsyH57ZXkd2ERTc4J2Phkau4WyrWN59j8jI3YdKMe25i2v2QKptcRb138x3/8x5MXNEcTFzf28f1Sc6dyqbd4Ru3RRM/dSjkOxa2NuaYBy3n6YdS6hwGbvnA7mJrI86233jpjXKe3lq5N9y3mc3VTbkEcz+Pp78q2Tn4dpCkkQgACnRPAgHUeAFw+BI5KYOmv+HOnP1sMahqwuSfdLZ3grG08pyZl7r/DZnx6qrBkCpZ0jR+mEd7/FDbxly9fPpU8/n1UHAPJ7/KmT2kcX+uWqd0yaJoGLPf3XwGQhgFbYjE9ARvHfzTm438bv4g5xkRLBmxuTuaYvq25zfcQgAAE9iCAAduDOn1CAAKHJbBlFqQXPj2Zk5iY6UlLNI5h4z9nlsamYO42xvH7n6Ztr510zV3jUvvxNsqlW0ZjW1snlR5ORbZeBbBl9NfM+pwBC+zGt21Of+84rrP2lEotM6R1a6OHsZbOc8pBAAJ9EsCA9TnuXDUEIFCJgJYBK5E39/uvaXvjWxe3zM+47nijHp5wFw1UKLPUzpx50nroSQkn67opJ2BLZm2J8dSATa9t6WEz47HZMoDjNnNOo1JuQdQyfdZjTH8QgAAEJAQwYBJKlIEABCAAAQg0TGDNgOWYpYYvFWkQgAAE3BPAgLkfQi4AAhCAAAQgAAEIQAACEPBCAAPmZaTQCQEIQAACqgTG745ba5jfHKlipzEIQAAC3RPAgHUfAgCAAAQgAAEIQAACEIAABKwIYMCsSNMPBCAAAQhAAAIQgAAEINA9AQxY9yEAAAhAAALHI3Dnzp3hH/7hH4a/+7u/O97FcUUQgAAEIOCaAAbM9fAhHgIQgIAvAv/zf/7P4b/8l/+SLfrf//t/P/yn//SfNuuHR6r/4he/wIBtkqIABCAAAQhYE8CAWROnPwhAAAIQWCTw//7f/xv+83/+z0XmSaMNhggCEIAABCBQiwAGrBZZ2oUABCAAgWQCUvNUepL2b//tvx3Cy6j5QAACEIAABKwJYMCsidMfBCAAAQhUPQELv/+KH0wWwQYBCEAAAq0RwIC1NiLogQAEINABgaWTLukJ2BKi//7f//tw//794eHDh0M8JQv/nw8EIAABCECgFQIYsFZGAh0QgAAEOiJQw4CNzVdEGfv5+c9/PvyH//AfOiLMpUIAAhCAQKsEMGCtjgy6IAABCByYgLYBC089DL/r+lf/6l8N/+N//I+XHuIRzZn0KYoHRs+lQQACEIDAzgQwYDsPAN1DAAIQ6JHAlgFbYvJf/+t/Hf7Fv/gXp18H4xU+439fu41x/PAObk3sMfK4ZghAAAL7E8CA7T8GKIAABCDQHYEtA7b1Dq/woI3/9b/+18lvvfhAAAIQgAAEPBHAgHkaLbRCAAIQOAiBUgO2huG//bf/NvzLf/kvX/rNV+jzk08+4fHzB4khLgMCEICAVwIYMK8jh24IQAACjgloGLBxG3/+85+HJ0+enJir+O/Td31FAxaw8Xh6x8GDdAhAAALOCWDAnA8g8iEAAQh4JKBhwMJJ1//9v//3xEyFh2xEAxZ5hNsU/+Ef/mH4u7/7uyH8Vize1hjfE4YJ8xg5aIYABCDgnwAGzP8YcgUQgAAE3BEoNWDT+nMGLEKJZccP6hgbMnfwEAwBCEAAAq4JYMBcDx/iIQABCPgkUGrApqdYc+8Ai2R4IbPPGEE1BCAAgaMSwIAddWS5LghAAAKNEYimq1TW0kuV4yPp59rnRcyl1KkPAQhAAAJaBDBgWiRpBwIQgAAEIAABCEAAAhCAwAYBDBghAgEIQAACEIAABCAAAQhAwIgABswINN1AAAIQgAAEIAABCEAAAhDAgBEDEIAABCAAAQhAAAIQgAAEjAhgwIxA0w0EIAABCEAAAhCAAAQgAAEMGDEAAQhAAAIQgAAEIAABCEDAiAAGzAg03UAAAhCAAAQgAAEIQAACEMCAEQMQgAAEIAABCEAAAhCAAASMCGDAjEDTDQQgAAEIQAACEIAABCAAAQwYMQABCEAAAhCAAAQgAAEIQMCIAAbMCDTdQAACEIAABCAAAQhAAAIQwIARAxCAAAQgAAEIQAACEIAABIwIYMCMQNMNBCAAAQhAAAIQgAAEIAABDBgxAAEIQAACEIAABCAAAQhAwIgABswINN1AAAIQgAAEIAABCEAAAhDAgBEDEIAABCAAAQhAAAIQgAAEjAhgwIxA0w0EIAABCEAAAhCAAAQgAAEMGDEAAQhAAAIQgAAEIAABCEDAiAAGzAg03UAAAhCAAAQgAAEIQAACEMCAEQMQgAAEIAABCEAAAhCAAASMCGDAjEDTDQQgAAEIQAACEIAABCAAAQwYMQABCEAAAhCAAAQgAAEIQMCIQNcG7MqVK8OTJ09OUb948eIl7JIy00qSOpIyRjFANxCAAAQgAAEIQAACEICAEYFuDdi5c+eGd955Z/j0009PUL/77rvDZ599NoxNmKTMdJwkdSRljMafbiAAAQhAAAIQgAAEIAABQwJdGrBvvvlmeOONN86YrcA8GKOPPvpouHXr1iApMx0nSR1JGcPxpysIQAACEIAABCAAAQhAwJBAlwbs3r17w4MHD4bHjx+fQR1OwcInnIpJykzHSVJHUia2+0//9E+GoUBXEIAABCAAAQhA4LgE7t69e9yL48pcEejWgN2+ffulE7Dwu6zXXnvt1IBtlZkzYFt1ggHbKrMWQcGU1U4gf/7zn4fz58+7CuQg1qtuz9phvs808crdq27mKHGeQqCFOP/nH/1oeO/58xTZJ2Vb0J4sOkG3xR4qRz91+iPQpQELwzz9HVY0RuPfhUnKTENGUkdSZikULZLH0RNwi9Mc5vaj4pV5D5sk+2jY7tFrvHjVTZxvx+RSiVzz1QNziz1U/shRsycC3RqwaMLiYAfjFT/xwRzSMnMmrEa7oU2L5OF1wfaqu4dFr8WkSrzYjwrMYZ5CwGu87KU7GK/wyTn5iuOyl/aUuJgrK9VtsYcqvRbq90GgawM2HeJwC+L169dPHsKx9JGUqdmuRfKQJrLWpohX3RiwfSKJeLHnDnOYpxDwGi976C459RqPyR7aU2JiqaxUt8UeSuN6aOP4BDBgfx3jZ8+eDRcvXnzpd2HjEJCUmYaMpI6kTGzXInlIE1lr08OrbgzYPpFEvNhzhznMUwh4jRdr3Vrmq4e1yGIPlRLjlO2XQLcGLJxkxacgRgMUH0Efw2GrTHyk/KNHj4arV6+eVNuqIy2zFJIWycN68dCafl5197DoaY2xZjvEiyZNWVswl3HSLAVzTZqytiyZa5qvHtYiiz2ULEoo1TuBbg1YNE8xAL777rvhwoULZ+Jhq0w0bmMDtlUndCApgwFLn5qWi166uvUaXrV71e15o+FZO/GinTm224P5NiPtElbMtc1XD7kFA6Yd7bSXS6BbA5YLbO96FsnDavHQZulVdw+LnvZYa7RHvGhQTGsD5mm8NErDXINiWhu1mWs8bGPpimprTyMpLy3VbbGHkqumZM8EMGDORt8ieUgTWWvovOrGgO0TScSLPXeYwzyFgNd4qam7xqnXeExqak8Z+9SyUt0We6hU7ZTvkwAGzNm4WyQPaSJrDZ1X3RiwfSKJeLHnDnOYpxDwGi+1dNc2Xz2sRRZ7qKUY/+GHH4Y333xz+Pbbb0+LxH/7+uuvh1deeWVxenz55ZfD999/P9y5c+eluuP2UuZXS2Ujh6jp448/Hi5fvnzynz//+c+Hp0+fzspduval9nLaqsUJA1aLbKV2LZJHrcWjEpLTZr3q7mHRqz32Oe0TLznUyurAvIxfTm2Y51Arq1ODuYX56mEtsthDpRiwOWM1Vz8Yh9dff3348MMPN4Nzy8xtNmBcIJqlaLokpjTyuHHjxktqnzx5Mty8eXOQclhrqyYKDFhNuhXatkgeNRaPCiheatKr7h4WPYvxT+2DeEklVl4e5uUMU1uAeSqx8vLazK3MVw9rkcUeKsWA/eQnP1kMuHi6EwzJ3bt3h/v3758pO3eiVh699i0EE/rrX//6zPX98pe/PBEyPvGLyqLBWjr9CobqrbfeOj1BW7uirbZq0sCA1aRboW2L5KG9eFTAMNukV909LHpWMZDSD/GSQkunLMx1OKa0AvMUWjpltZjXfNjG0pVqadchKW9FqttiDzWnemq0rl27dlpsajKCKfjiiy9ODUkwI6+++uoQTnuiYVgiIz31kZOtX3LObM2Zsqhk7cRqyawuXcVep19BDwasfmyp9mCRPKSJTPXCFBrzqhsDpjD4GU0QLxnQCqvAvBBgRnWYZ0ArrKLB3PLUa3y5GtoL8WVVl+q22EMtXcD4xCqarHBS89vf/vbMSc/YgMU6H3zwwakBm5YfG5NwfWu/JcuCW7lSMGDhtU7jE74lA7Z1YhVv6QyGNd6ueenSpZdOD8MlbbVV+bIxYLUBa7dvkTykiUz72krb86obA1Y68nn1iZc8biW1YF5CL68uzPO4ldQqZb6X+ephLbLYQ0kM2LjM1GyMDVg4oQmf8Puvo56ALf0GbM44rd2aGDgFlsF4RcMa/i0wDO/5nZ40brVVkgMkdTkBk1BqqIxF8ihdPPbC5VV3D4veXjGx1i/xYj8qMId5CgGv8VKie0/z1cNaZLGHSjVg0TiE/40mK96CGG8/HH93tBOwcG3TWyvDAznGt2FGpuFWzvETEqes507Olk66ttpKyVU5ZTFgOdR2rGORPEoWjx3RDF5197Do7RkXS30TL/ajAnOYpxDwGi+5uvc2Xz2sRRZ7qBwDFk1YOL2Zmo9gKsYGLDzhb+nj8Tdgc9cy93TItd+FxTbmysw9rETSVkquyimLAcuhtmMdi+SRu3jsiOWka6+6PWuH+T5R75W7V93MUeI8hUBOnLdgvnqIc4s91JYBCwYrmKjwFL/x+6rCgznCbXJT8zE1YEc8AZsym3uSoeSWwTmzNXcCJmkrZc7nlMWA5VDbsY5F8shZPHZEctq1V909LHotxMdUA/FiPyowh3kKAa/xkqJ7jycdro1BivaUsaxdVqrbYg+1dK3xJcDxt03x90rTx6lvGbCjnYAF0/T73//+5PbL8FkyR0u3DE45Tp9sGOqNfxMW+tj79sOgAQNWOysot2+RPKSJTPnSipvzqhsDVjz0WQ0QL1nYiirBvAhfVmWYZ2ErqiRl3sqp1/hipdqLAFWoLNVtsYeau7yUDf/UgPRwAhZNVGAXTwLHHNdezjxnZKPZDW1MzZfkRc8VQvSlJjFgFpQV+7BIHtJEpnhZKk151Y0BUxn+5EaIl2RkxRVgXowwuQGYJyMrriBh3qL56mEtsthDpQbQ+DbEWHd8KhYNWHhZ8dOnTzebnxqOzQoU2IUABmwX7PmdWiQPyeKRfwX1anrV3cOiV2/U81smXvLZ5daEeS65/Howz2eXW3OLeavmq4e1yGIPlRs31OuLAAbM2XhbJI+txaNVZF5197DotRgzxIv9qMAc5ikEvMbLmu6WzVcPa5HFHiolxinbLwEMmLOxt0geR1z0Wh9mmNuPkFfmPWyS7KNhu0ev8eJV99HivLWHbSxFvNd4keq22ENtZxNKQICHcLiLAYvkIU1krcHzqvtoG43W4uJoGw3iZZ8I85pfvOo+Upy3fuo1nlFe40Wq22IPtU+GoldvBDgBczZiFslDmshaQ+dV95E2Gq3FxJoe4sV+tGAO8xQCXuNlrNuT+ephLbLYQ6XEOGX7JYABczb2FsnjCIues2F1+xJpr7HieaPhWTvxYp+ZYP435uf+vy9fGoAXX/3l3UOan8jcm/nqIbdY7KE0Y4m2jksAA+ZsbC2Sh9cF26vuHha9FqcZ8WI/KjCHeQoBzXiZM19Ri7YJC7ofXro0vPf8ecrlNlFWk7nlBUl1W+yh1q47vA/s66+/Hl555ZVh/O6raZ25d2HFMk+ePBm++OKL4f79+ydtfP/998OdO3cWuw3vxArXHfocfyR1U8YwXFv8bD0Kf6ns+P1d076nL6wecxiXnT7WP/KOZba+T7nmkrIYsBJ6O9S1SB7SRLbD5a926VU3BmyfSCJe7LnDHOYpBLTiZc181TBhHk++Igct5injrFFWqttiDyU1YJLrDobkwoULZwzW9KXOSwZrajjGRmTu5cUSPUtlgobXX399uHHjxhANzscffzxcvnz5pSopZUPlcfnYWDRqly5dOjGi4094kXU0pHPXufV9CYeUuhiwFFoNlLVIHtJE1gCOMxK86saA7RNJxIs9d5jDPIWAVrxYGbD4pMNrT58O58+fT7nUZspqMbe+IKluiz3U3LWPT3zi99MTnSVmwTA8e/bsxGiE///w4cNVvMH4hNOuN998M2kYpHqmjYaTqJs3bw7j+kFn+ExP5lLKhvpz5YP5euutt4Y//vGPQ3g59dSATfVNDWvq90kQEwpjwBJgtVDUInlIE1kLPMYavOrGgO0TScSLPXeYwzyFgFa8WBiw8amXlu4UVlplvWqX6rbYQy2NRTwZmt4SJx27aL6mpz7BYEjM09Ite9L+l8rN3co4Z5xC/ZSyofzc6VfUEdqSGrA15uPbQktZpNTHgKXQaqCsRfKQJrIGcJyR4FU3BmyfSCJe7LnDHOYpBLTipbYBm95yqKU7hZVWWa/apbot9lBrRuXDDz88/Q3Y3KnYuO74Fr5g3u7evXty8hNOm9Y+0Yyt/Z5qWn/rN1tr/c2ddi0ZsJSyS22kGLClk7jYxtb3WvNqrh0MWE26Fdq2SB7SRFbh8oqa9KobA1Y07NmViZdsdNkVYZ6NLrsizIehpgGb+70XzLPDNbuilLnFHmrpIsaGaGp4pA/EmDvFkpyAbZmZbPDDcHJb5Kuvvnry+6/4iad905O51LKhvaUHjCydgMVrDXXnjOXW9yUsUupiwFJoNVDWInlIE1kDOM5I8KobA7ZPJBEv9txhDvMUAprxUuMpiEsP29DUncJLo6xX7VLdFnuouXEIm/7f/va3J7/fCrfDhd9nBXMSb3/7/e9/f/I0w2BkprfVjY2G1IClnH5FvbmnYCmnWillt367JbkFMT6EY+kWxK3vNebUUhsYsJp0K7RtkTykiazC5RU16VU3Bqxo2LMrEy/Z6LIrwjwbXXZFmP8NndZ7wOLDNpYeMw/z7HDNrihlbrGHmruI+KTCYLzGj6GPj5Afn4DNPeUw3HoYnig4Pr1ZgjV36hTKrj2qPhv8X0/Apu0v/d5syYDFx+pHHVJzJfkN2NZthlvfl7BZq4sBq0W2UrsWyUOayCpdYnazXnVjwLKHvKgi8VKEL6syzLOwFVWCeRG+lypLHjEPc13mktakzC32UHN646PPxw98GButsQEb/2kqydUAACAASURBVP/prXzSE7CoQfLUxFBW8hCPpXFIebKhtKzEFElMWtC81dbW95L4yymDAcuhtmMdi+QhTWQ7Ypjt2qtuDNg+kUS82HOHOcxTCLQWLxLz5Tmfe9YujRWLPdRajI9vORyf3kx/Aza9NTGeXqUYsNDG3Audt94bljJHY9nQV7yFcfq0x+m7uNbKjttbeo9YLDNnwAKf8Hj6+Hu0aPjiqePW9znXnlsHA5ZLbqd6FslDmsh2QrDYrVfdPSx6rcWKZ+aetTNH7WcCzHWYS82X5/npWbs0zi32UBIDFm5FHBuMqQGLpzLhN2PjcpJbEIMRGj9tcaqnhgGLpiv2Nb22oCeesq2VDfWlj+tfOgGbnvpNf/+19b1OxthuBQO2zaipEhbJQ5rImgIzDINX3T0seq3FimfmnrUzR+1nAszLmaeYL8/z07N2aZxb7KEkBiy8KDl8xg/L2DrxCeVT3+WV8jAOSf/ls4kWIgEMmLNYsEge0kTWGjqvuntY9FqLFc/MPWtnjtrPBJiXMU81X57np2ft0ji32EOVRRy1eyGAAXM20hbJQ5rIWkPnVXcPi15rseKZuWftzFH7mQDzPOZbTzpcaxXmecxLakmZW+yhSq6Duv0QwIA5G2uL5CFNZK2h86qbDfU+kUS82HOHOcxTCGjHi/Qx9DmnXuPr0tadwqy0rFftUt0We6jSMaB+HwQwYM7G2SJ5SBNZa+i86saA7RNJxIs9d5jDPIWAZrxIX8Rcar4853PP2qWxYrGHSolxyvZLAAPmbOwtkoc0kbWGzqvuHha91mLFM3PP2pmj9jMB5sOwZr7iiLz46sagYb48z0/P2qVxbrGHsp/l9OiRAAbM2ahZJA9pImsNnVfdPSx6rcWKZ+aetTNH7WcCzGUG7JPfvD+89/y5ygDBXAVjUiNS5hZ7qCXh4f1X4TN9LHr4t/FLmZMuvMPCW4+xn3v59JT5VhsWWDFgFpQV+7BIHtJEpnhZKk151c2GWmX4kxshXpKRFVeAeTHC5AZgLjNg4QRM6wNzLZLydqTMLfZQWwZs7uXIGDDZWEfjFB+ZP/fOsGDAXn311dOXMU9bnr6cWdazfikMmD7Tqi1aJA9pIqt6oRmNe9WNAcsYbIUqxIsCxMQmYJ4ITKE4zDFgKWHkNV6kui32UGsG7NKlS8PTp0/PvFw5lMeAyaJ07uXL8aXVd+7cOWkkvPvs9ddfXzRg4fu33npruHz5sqzTSqUwYJXA1mrWInlIE1mta8xt16tuDFjuiJfVI17K+OXUhnkOtbI6MMeApUSQ13iR6rbYQ60ZsHBy88UXX5wUuX///mlRDJgsSqdmK9SamrI1gxVOzO7evXuGvaxn/VIYMH2mVVu0SB7SRFb1QjMa96obA5Yx2ApViBcFiIlNwDwRmEJxmP8FovQpiArIB5hrUExrQ8rcYg+1ZcBeeeWV4c033xw++OCD01MaDJhsvIMBe/bs2RkDlWLAQtnvv//+5BbFDz/88KTTcCo5NsMyJeWlMGDlDE1bsEge0kRmeuGCzrzqxoAJBrdCEeKlAtSNJmEO8xQC2vEifQ9Yisa5stq6S/Wk1PeqXarbYg+1ZcDCrW/xQRHffvvtSXEMmCxKl34DNjZR8WEnscWx0Q0GLBiv8b+FE7MLFy4M8RZGmZLyUhiwcoamLVgkD2kiM71wQWdedWPABINboQjxUgEqBsweKsxFzDkBE2Fye3onzecWeyiJAYumKz6QAwMmi89QKj5EI9aIt3XOnWLFsvGhHXO/IYtlohmWKykriQEr42de2yJ5SBOZ+cWz0WgNudvF2rPp9azda26B+T6pRytepO8B07pKLd1aelLa8apdqttiDyU1YGNzcPPmzZcezJEybj2XjbcVLp1gjX83NmfA4qkaBqznKBJcu0XykCYygVzTIl51s7kzDZPTzogXe+4wh3kKAY14CS9Xfv9nn2x2y2Po/4JIg/km7AoFpLot9lBSAxbKhdvf4qeFJ/NVGJrqTW491XBswObMFidg1YfoGB1YJA9pImuNqFfdPSx6rcWKZ+aetTNH7WdCz8yD+QovV+YETB53XuNFqttiD5ViwMYvBI63yclHq7+Sgdfvf//704eXTJ+KGL4Pn/Cgk/CZ3oIYTe/4MfXh9s/xb8KsqHILohVppX4skoc0kSldklozXnWzoVYLgaSGiJckXCqFYa6CMamRXplH8xVgYcDkIeM1XqS6LfZQKQYslI0PhsCAyeI08gql515qHU7EwrvW4ufrr78+NWTx38Zl9jBfQQcGTDbezZSySB7SRNYMlL8K8aobA7ZPJBEv9txhDvMUArnxMjZfGLAU4tyCmEaL0hDIJ4ABy2e3S00M2DL23MV6l4GcdOpVu1fdnk2vZ+3Ei3226Yl5MF7hE247nH54CqIs9rzGi1S3xR5KRppSvRPAgDmLAIvkIU1kraHzqpsN9T6RRLzYc4c5zFMIpMTL9NRr3A+3IMqppzCXt1q/pFS3xR6q/tXSwxEIYMCcjaJF8pAmstbQedWNAdsnkogXe+4wh3kKAWm8rJmv0B8GTE5dylzeok1JqW6LPZTNFdOLdwIYMGcjaJE8pImsNXRedWPA9okk4sWeO8z7Yj5nfFIe9y6Jly3zhQFLizkJ87QWbUpLdVvsoWyumF68E8CAORtBi+QhTWStofOqGwO2TyQRL/bcYd4Pc43fXG3Fi8R8YcDSYm6LeVprdqWlui32UHZXTU+eCWDAnI2eRfKQJrLW0HnVjQHbJ5KIF3vuMO+DudYtf2vxIjVfGLC0mPM6R6W6LfZQacQp3SsBDJizkbdIHtJE1ho6r7oxYPtEEvFizx3mfTCvacDWnnS4RlfjRE46esS5lJReOSlziz3U1lXFly8vvX9q+h6r0N7c+662+mnx+/Bi5C+++GK4f//+GXnjd3uFL9bezTV+eXUoO31/Wng588OHD8+0P30XWHj5cvzwHrAWI6VBTRbJQ5rIWsPjVTcGbJ9IIl7sucO8D+a1DFjKqdcc6dLfpElHjziXktIrJ2VusYfauqpgNn7961+fFJsakfBvwYC9/vrrw40bN06bigZl7qXCW/218n00lpcuXTpz3cFQ3b179/TfosGaezH19Lv432MuwYC9+uqrZ/iNGQTzFQ3tlhmuyY4TsJp0K7RtkTykiazC5RU16VU3Bqxo2LMrEy/Z6LIrwjwbXXbFPZjXMGCl5isbYEbFPZhnyJyt4lW7VLfFHmprLIIBCIbhzTfffOn0ZsmAhX8Pp0c3b94cvv32260umvs+mK+33npr+OMf/3hiPueM51h0MFHhc+fOnTPXEs3ruP607JyBjY0sGba5vmpDxIDVJqzcvkXykCYy5Usrbs6rbgxY8dBnNUC8ZGErqgTzInxZlfdgrm3APJkvz/ncs3ZpnFvsodYm6thELZmMNQOx9l1WgjCuNGeg5iQssZn792mb0exdvnz5paZzTsxqIcKA1SJbqV2L5CFNZJUuMbtZr7p7WPSyB7ViReKlItyFpmHeB3NNA/bw0qXhvefP7cEV9EicF8DLrCplbrGHWruEsYFYOtFaM1lSA5OJsXo1qf5wSjh3C2Lg9+zZszMnaCkGLFxgKP/999+fnK5FQ7bHqSIGrHq46XZgkTykiUz3yspb86obA1Y+9jktEC851MrqwLyMX07tPZhrGLDch23kMNKuswdzrWvwql2q22IPtTYWU2MR/nv6EIjeDVhgMv2dWGS69BuwcfnxAzZCvSnf6QM/QhkMmFYGOXA7FslDmshaw+xVNwZsn0giXuy5w7wP5qUGLN5y6DVevOruYS2y2EMtzfK48R9v9oPZCp/xb5rWDNjSrXn2mSWvx7UTsHgiuGS+Yo+xXPzvcFI292TF8H0sG0/Tpv8dysyNQd7VpdXiBCyN1+6lLZKH18XDq+4eFr3dJ86MAOLFflRg3gfzEgM2/r2X13jxqruHtchiD7U0y+ceLx/Ljp/i1+NvwKIxynkk/PiWwjn2Y9M6Z2D3ergJBsx+PSzq0SJ5eF08vOruYdErCvpKlYmXSmBXmoV5H8xzDdj0YRte48Wr7h7WIos91Nwsn3v4QywXDNeFCxdOn/i3ZMDmTtDsM0pZj3MnYKWPgl976EZQiwErGzNq/5WARfLwunh41d3DotfiBCZe7EcF5n0wzzFgc0869BovXnX3sBZZ7KHmZvnarXdTYzVnwOLLhT2/ByxwmeOw9WCOMZ9g1n7/+9+fvuNreqIVvg+fV1555eR/p7cczhnhqQG2ytKcgFmRVurHInl4XTy86u5h0VMKf9VmiBdVnKLGYC7CpFpoD+apBmzpMfN7aNeA71V3D2uRxR5qLobmHrYRy00fLDF3q2J8cbBGfO7ZxpIB+/DDD2dlhd/LTQ3q+CEac1ym/KamNfKOHe7FFgO2ZyRm9G2RPLwuHl5197DoZYR69SrES3XEL3UA8z6YSw3Y1pMOvcaLV909rEUWeyj7WU6PHglgwCqM2pUrV06OPePnxYsXL/UiKTMnzSJ5eF08vOruYdGrMM2KmyReihEmNwDzZGTFFfZgLjFgn/zm/c33e+2hvRj4MAxedfewFlnsoTRiiDaOTwADpjzG586dG955553h008/PWn53XffHT777LNhbMIkZZZkWSQPr4uHV909LHrK00ylOeJFBWNSIzBPwqVSeA/mEgP24qsbm9e3h/ZNUYICXnX3sBZZ7KEEIUIRCAwYMMUg+Oabb4Y33njjjNkKzQfD9dFHHw23bt0aJGXWJFkkD6+Lh1fdPSx6itNMrSniRQ2luCGYi1GpFdyDOQbsz8P58+fVxtCyoT3iReP6pLot9lAa10MbxyeAAVMc43v37g0PHjwYHj9+fKbVcAoWPuFUTFIGA5Y3KNIEnNd63VpetXvV7dn0etZOvNTNI3Ot78EcA4YBs450aZxjwKxHhv6WCGDAFGMjmKvbt2+/dAIWfu/12muvnRqwrTJRUkgUc5+3335bUTVNQQACEIAABPQI/PjW7zYb+9O9n26WoQAEtAl8/vnnw927d7WbpT0IJBPAgCUjW68w/X1XNGXj34VJyiz1YvHXG+lfkpTRFTfnVXe4cK/aver2zNyzduKlOM0lN7AHc07AOAFLDtTCCtI4t9hDFV4K1TshgAGrMNDBYMVPMF7xEx/MEf5bUmZOmkXykCayCuiKmvSqmw110bBnVyZestFlV4R5Nrrsinswx4BhwLIDNrOiNM4t9lBLlzD3fq+PP/54uHz58upVh/deff/998OdO3dOy8V3WYX3ZB3lE96VFj8ffPDB6cuW565vq+za9/Gl1uN293jBNQbMIHLDLYjXr18/eQjH0kdSJtS1SB7SRGaALqkLr7oxYEnDrFaYeFFDKW4I5mJUagX3YI4Bw4CpBbCwIWmcW+yh1gzY66+/fmosoonaMhvBuIV6Sy8r3ttICIdotVi8xhs3bgzTF1NPK26V3fo+GLBXX3111eBpXNNWGxiwLUKF3z979my4ePHiS78LGzcrKRPLWyQPaSIrRKNe3atuDJh6KIgaJF5EmFQLwVwVp6ixPZhjwDBgouBULCSNc4s9lNSAhXLhdOvXv/71cP/+/dlqwYyE36xNvz/SCVh4b+7NmzeH8WleMEnhMz71C/+9VXbr+9DG2KAphmByUxiwZGTrFcJJVnwKYjRW8RH0saakzFIvFslDmsiU0RU351U3Bqx46LMaIF6ysBVVgnkRvqzK1sz/+Uc/Gt7/2SebWnkP2CaiXQpYx4vWRUp1W+yhNA3Y+LQmmoul9ve4jS53/MItgtFwzd1iOWekomGd3o45LitpKxiwt956a/PWz9xrk9bDgElJCcvF93zF4t99991w4cKFM7UlZTBgQuCjYtIEnN5y/RpetXvV7dn0etZOvNTPJdMerJgH4xU+7z1/PnACxgmYdaRL47w1A7Z00hP4TW9RDEbjt7/97UunQqFsMBXh2l555RVr9OL+4vWECuPfvs0xWDJgW2W3vo+sMGDiYaNgJGCRPKSJrLVR8aqbDfU+kUS82HOHeV3mc8YnPO699kuBg/kKxit+MGAYsLqR/nLr0txisYdauvbprW/RZCydXIXy4RN/N+b1BGyse+5a536TtXSL5VbZre8Dz/EDOsJ/b/0Gr1YscwJWi2yldi2ShzSRVbrE7Ga96saAZQ95UUXipQhfVmWYZ2ETVVozPZLb/USdzBSamq9QBAOGAcuNp9x60txisYdaM2BPnz498/XabYPRTIQK4eEUHk/Aovlae9qj5NQqQtsqu/X9dGwk+nJjcqseBmyLUGPfWyQPaSJrDI3bd2lhwPaJJK9xTrwQL1MCWoYnleyc+cKA+X2vYw+5xWIPtWbAxk9BlMy38JumsQELD6tY+rT6G7DxCdicEVsyTV988cVLDx/ZKrv1/Ry7tdtAJWOUWwYDlktup3oWycPrxtSr7h4WvZ2my2q3xIv9qMC8DvM9DNiS+cKAYcDqRPl6q9LcYrGHqmnAjvgbMMmTCyPTrbJb32PA9pidB+nTInlIE1lrSL3qxoDtE0nEiz13mNdhbmnAxg/bWLoaLT1e48Wr7h7WIos9VE0D5vEEbI7H+CmI4fvw3/G3WPH3X/FEL5wChnegxacmrpXdaiu0HT7xYSXcglhnTTpkqxbJw+vi4VV3D4tei5OReLEfFZjXYa5leLbUrZ16Tetq/CbNa7x41d3DWmSxh6ppwDyfgK3ll/ETEkO58a2KUwO2VjbU3fo+PNxk/Fu8vW7d5BbErRWnse8tkofXxcOr7h4Wvcam0Ykc4sV+VGBeh7mFAUsxX/Eq53SlPBDEa7x41e05L0qZW+yhNGd5/A1YeFnz9AEec/3s9UQ/zWvupS0MmLORtkge0kTWGjqvuntY9FqLFc/MPWtnjtaZCbUNWI750rhSr/HiVXcPucViD6UR+7RxfAIYMGdjbJE8vC4eXnX3sOi1OM2IF/tRgXkd5jUN2F7mi7xYJ1a2WvU6R6W6LfZQW4z5HgKBAAbMWRxYJA9pImsNnVfdbDT2iSTixZ47zOswr2XA9jRf5MU6sbLVqtc5KtVtsYfaYsz3EMCAOYwBi+QhTWSt4fOqm43GPpFEvNhzh3kd5toGTPKkwzpXcrZVr/HiVXcPa5HFHspibtCHfwKcgDkbQ4vk4XXx8Kq7h0WvxWlGvNiPCszrMNc0YHufeo0JeY0Xr7p7WIss9lB1ZjmtHo0ABszZiFokD6+Lh1fdPSx6LU4z4sV+VGBeh7mWAWvJfJEX68TKVqte56hUt8Ueaosx30MgEMCAOYsDi+QhTWStofOqm43GPpFEvNhzh3kd5hoGrDXzRV6sEytbrXqdo1LdFnuoLcZ8DwEMmMMYsEge0kTWGj6vutlo7BNJxIs9d5jXYV5qwFo0X+TFOrGy1arXOSrVbbGH2mLM9xDAgDmMAYvkIU1kreHzqpuNxj6RRLzYc4d5Hea5BqyVh20sUfEaL15197AWWeyh6sxyWj0aAW5BdDaiFsnD6+LhVXcPi16L04x4sR8VmNdhnmPAWj31GhPyGi9edfewFlnsoerMclo9GgEMmLMRtUgeXhcPr7p7WPRanGbEi/2owLwO81QD5sF8kRfrxMpWq17nqFS3xR5qizHfQyAQwIA5iwOL5CFNZK2h86qbjcY+kUS82HOHeR3mKQbMi/kiL9aJla1Wvc5RqW6LPdQWY76HAAbMYQxYJA9pImsNn1fdbDT2iSTixZ47zOswlxowT+aLvFgnVrZa9TpHpbot9lBbjPkeAhgwhzFgkTykiaw1fF51s9HYJ5KIF3vuMK/DXGLAPvnN+8N7z5/XEVCpVa/x4lV3D2uRxR6q0nSg2YMR4BZEZwNqkTy8Lh5edfew6LU4zYgX+1GBeR3mEgP24qsbdTqv2KrXePGqu4e1yGIPVXFK0PSBCGDAnA2mRfLwunh41d3DotfiNCNe7EcF5nWYY8DqcM1tlTjPJZdfT8rcYg+VfxXU7IkABszZaFskD2kiaw2dV90YsH0iiXix5w7zOswxYHW45rZKnOeSy68nZW6xh8q/Cmr2RAAD5my0LZKHNJG1hs6rbgzYPpFEvNhzh3kd5hiwOlxzWyXOc8nl15Myt9hD5V8FNXsigAFzNtoWyUOayFpD51U3BmyfSCJe7LnDvA5zDFgdrrmtEue55PLrSZlb7KHyr4KaPRHAgDkbbYvkIU1kraHzqhsDtk8kES/23GFehzkGrA7X3FaJ81xy+fWkzC32UPlXQc2eCGDAKoz2lStXhidPnpy2/OLFizO93Lt3b7h9+/ZLPU/LzUmzSB7SRFYBXVGTXnVjwIqGPbsy8ZKNLrsizLPRrVbEgNXhmtsqcZ5LLr+elLnFHir/KqjZEwEMmPJonzt3bnjnnXeGTz/99KTld999d/jss8+GsbkKBuzBgwfD48ePk3u3SB7SRJYsvnIFr7oxYJUDY6F54sWeO8z1mYeXK7//s082G+Yx9JuI1AoQ52ooxQ1JmVvsocSiKdg1AQyY4vB/8803wxtvvHHGbIXmgyn76KOPhlu3bp2asvB/oklLkWCRPKSJLEW3RVmvujFgFtHxch/Eiz13mOsyD+YrvFyZEzBdrqWtEeelBNPrS5lb7KHS1VOjRwIYMMVRXzrZCqdgY8M1/e8UCRbJQ5rIUnRblPWqGwNmER0YsH0on+2VOao3CtF8nfyR7//7crNhTsA2EakVIM7VUIobkjK32EOJRVOwawIYMMXhj7/tmv6WK/wm7LXXXjs98Zr+RixIWPr9V0gW08/bb7+tqJqmIAABCEDAE4GHly4N154+PZX841u/25T/p3s/3SxDAQgcncDnn38+3L179+iXyfU5IIABUx6k6W/Aoikb/y5s2mU0ZDyEo2wwpH8BK+ulTm2v2r3qDqOI9jqxvNYqzMuYh1Ov8Am3HY4/nICVcdWuTZxrE91uT8qcE7BtlpSwIYABq8A5mLD4CcYrftZ+8zX9ndiSLIvkIU1kFdAVNelVt2czAPOikM2u7JW7V90tzNHxLYfTwMGAZU+lKhWJ8ypYVxuVMrfYQ9lfPT16JIABMxi1cMJ1/fr104dwzHUpKRPqWSQPaSIzQJfUhVfdLWzukkCPCsM8l1xZPa/cveree46uma+gDQNWNp+0axPn2kS325Myt9hDbaulBASGAQNWOQqePXs2XLx4cfE3XrH7cAL26NGj4erVq6uKLJKHNJFVRpfcvFfde2/ukkFjwEqQqdT1Gutede85R7fMFwZMZUqpNkKcq+IUNSZlbrGHEgmmUPcEMGDKIRBOsuL7vaL5Gj+CPnQ3LhP/O/yv5L1gFslDmsiU0RU351X3npu7UugwLyWYV98rd6+695qjEvOFAcubQzVrEec16c63LWVusYeyv3p69EgAA6Y8avFdYLHZ7777brhw4cKZXqIxi/+49oCOqTyL5CFNZMroipvzqnuvzV0xcB5koYEwqw2vse5Vt/UcXXrYxlKwcAti1jSqVok4r4Z2sWEpc4s9lP3V06NHAhgwZ6NmkTykiaw1dF51W2/uNMcN5po05W155e5Vt+UclZ56jaMFAyafOxYliXMLymf7kDK32EPZXz09eiSAAXM2ahbJQ5rIWkPnVbfl5k57zGCuTVTWnlfuXnVbzdEc8xW0YcBk88aqFHFuRfpv/UiZW+yh7K+eHj0SwIA5GzWL5CFNZK2h86rbanNXY7xgXoPqdpteuXvVPTdH50zPi69ubA/eQolc84UBy0ZereKR4rwaJOWGpcwt9lDKl0ZzByWAAXM2sBbJQ5rIWkPnVTcGbJ9IIl7suR+F+dqJU44JKzFfGDD7ON7q8ShxvnWdLX0vZW6xh2qJC1raJYABa3dsZpVZJA9pImsNnVfdGLB9Iol4sed+BObat/uVmi8MmH0cb/V4hDjfusbWvpcyt9hDtcYGPW0SwIC1OS6LqiyShzSRtYbOq24M2D6RRLzYcz8Ccy0Dlvqkw7XR0tJkHxHrPXqNF6+6e1iLLPZQrc0j9LRJAAPW5rhgwDLGhUUvA1phFZgXAsys7pW7V93jjamG2dE49RqHjoamzFCsWs1rvHjVjQGrGs40DoEzBDBgzgLC4q83XhcPr7p7WPRanGbEi/2oHIF5qdnRNl9hFEs12UeCrEev8eJVdw9rkcUeShbdlOqdAAbMWQRYJA+vi4dX3T0sei1OM+LFflSOwLzE7NQwX3EUtR8MYh8dL/foNV686u5hLbLYQ7Uwd9DQPgEMWPtjdEahRfLwunh41d3DotfiNCNe7EflCMxzDVhN87Vmwv5076fD+fPn7QdboUev8eJVdw9rkcUeSiH0aaIDAhgwZ4NskTy8Lh5edfew6LU4zYgX+1E5AvNUA6b5sI2cETsC85zr3rMOzO3pS5lb7KHsr54ePRLAgDkbNYvkIU1kraHzqhsDtk8kES/23I/APMWAWZx6bY3iEZhvXWNr38PcfkSkzC32UPZXT48eCWDAnI2aRfKQJrLW0HnVjQHbJ5KIF3vuR2AuNWAtmC/PucWz9iPEuX12KOtRytxiD1V2JdTuhQAGzNlIWyQPaSJrDZ1X3Ww09okk4sWe+xGYSwzYJ795f3jv+XN7wDM9HoF5EyATRMA8AZZSUSlziz2U0iXRzMEJYMCcDbBF8pAmstbQedWNAdsnkogXe+5HYC4xYC++umEPd6HHIzBvBqZQCMyFoBSLSZlb7KEUL4umDkwAA+ZscC2ShzSRtYbOq24M2D6RRLzYcz8CcwyYXdx4jRevuntYiyz2UHYzhJ48E8CAORs9i+ThdfHwqruHRa/FaUa82I/KEZhjwOzixmu8eNXdw1pksYeymyH05JkABszZ6FkkD6+Lh1fdPSx6LU4z4sV+VI7AHANmFzde48Wr7h7WIos9lN0MoSfPBDBgzkbPInl4XTy86u5h0WtxmhEv9qNyBOYYDOleigAAIABJREFUMLu48RovXnX3sBZZ7KHsZgg9eSaAAXM2ehbJw+vi4VV3D4tei9OMeLEflSMwx4DZxY3XePGqu4e1yGIPZTdD6MkzAQyYs9GzSB5eFw+vuntY9FqcZsSL/agcgTkGzC5uvMaLV909rEUWeyi7GUJPnglgwJyNnkXy8Lp4eNXdw6LX4jQjXuxHxTvzh5cuDe//7JNNcDyGfhORqIDXePGqu4e1yGIPJQpuCnVPAAPmLAQskofXxcOr7h4WvRanGfFiPyqemf/zj3508nJlTsDs4sZrvHjV3cNaZLGHspsh9OSZAAbM2ehZJA+vi4dX3T0sei1OM+LFflS8Mg/m69rTp8P58+cxYIZh4zVevOruYS2y2EMZThG6ckwAA+Zs8CySh9fFw6vuHha9FqcZ8WI/Kh6Zx5OvqJ0TMLu48RgvnvO5Z+3SWLHYQ9nNEHryTAAD5mz0LJKHNJG1hs6r7h4WvdZixTNzz9q9zdFovsbMMWB2s9lbvEQyXnX3kFss9lB2M4SePBPAgDkbPYvk4XXx8Kq7h0WvxWlGvNiPiifmY/OFAbOPFfIizFMISHOLxR4qRTdl+yWAAXM29hbJQ5rIWkPnVTcbjX0iiXix5+6BeTBe4RMeuDH+cAsi8SIl4CHOl67Fq3apbos9lDROKNc3AQyYs/G3SB7SRNYaOq+6MWD7RBLxYs+9debTUy8MmH2MzDHfV0V6763H+doVedUu1W2xh0qPGGr0SAAD5mzULZKHNJG1hs6rbgzYPpFEvNhzb5n5mvkaz1F+A2YXNy3HyxFNTA9rkcUeym6G0JNnAhgwZ6NnkTxY9OyDAuYwTyFAvKTQ2i67Zb4wYNsMa5QgzmtQXW/z6Mwt9lD2o0aPHglgwJyNmkXyOHoCbnHIYW4/Kl6Z9/BXastokJgvDJjliPytL69z1KvuHnKLxR5qn9lCr94IYMCcjZhF8vC6eHjV3cOi1+I0I17sR6Ul5ksP21iiwkM4+o6XlKtvKc5TdPewFlnsoVKZU75PAhgwZ+NukTy8Lh5edfew6LU4zYgX+1EpYT7326sXX93Iugjpqde4cQxYFuqiSiXxUtRxYWWvuntYiyz2UIXhQ/VOCGDAKgz0u+++O3z22WenLT969Gi4evXqmZ6mZb777rvhwoULm2oskofXxcOr7h4Wvc3A3qEA8WIPPZf52oMvUk1Yjvkaz1EewmEXN7nxYqdwvievuntYiyz2UHvHH/37IIABUx6naKxevHhx0vK9e/eG27dvD2MTFsr84Q9/GB4/fnymjMSEWSQPr4uHV909LHrK00ylOeJFBWNSIznMNQ1PrvnCgCUNs1rhnHhR67ygIa+6e1iLLPZQBaFD1Y4IYMCUB/vcuXPDRx99NNy6deu05StXrgyvvfba8Omnnw7Pnj0bLl68eMaQhYKhzPXr18/Um5NmkTy8Lh5edfew6ClPM5XmiBcVjEmN5DDXMmAl5gsDljTMaoVz4kWt84KGvOruYS2y2EMVhA5VOyKAAVMe7DkjNf63eCIWT8hi99NTsSVZFsnD6+LhVXcPi57yNFNpjnhRwZjUSA5zDQNWar4wYEnDrFY4J17UOi9oyKvuHtYiiz1UQehQtSMCGDDlwY4nXONbEB88eHDmdsPxf8fugzGb/ntIFHOft99+W1k1zUEAAhBok8CPb/1uU9if7v10tszDS5dO/v3a06ebbUgLlOiR9kE5CECgDoHPP/98uHv3bp3GaRUCCQQwYAmwJEW/+eab4Y033jhT9PLly6cGbOmka+lkbNqnxV9vvP71zqvuMMZetXvV7Zm5Z+058ZJ7AqZx6jXOvzwFUbIC6pbJiRddBXmtedXdQ26x2EPlRQ21eiOAAVMc8Xj69c4775z83it8pv+2ZsDmTsYwYPIBYtGTs9IqCXMtkmnteOWeozvHgGmbr+nGVPOpjGkjn146h3l6L3VqeNXuVTcGrE4c0yoE5ghgwBTjYukUa/zv/AZMEfikKRa9emyXWoa5PfMeNkljqqkGrIb5mmOu+V6ymlHEHK1Jd75tmLfLnBMw+7Ghx3kCGDDFyJAYsHgiNn3kPE9BLB8IFr1yhqktwDyVmE55r9xzdKcYsFrmqzfTqxOl5a3kxEt5r+UteNXdQ5xjwMrjmxZ0CGDAdDietjJ9DH00XONH0y+9B2z6ZMQ5aRbJw+vi4VV3D4ue8jRTaY54UcGY1EgOc4kB++Q375/oeO/58yQ9KYVztKe0X6usV93kxVoRsd6u13iR6rbYQ+0zcvTqjQAGrMKIhdOsJ0+enLY8fglz/MdpGYn5CnUtkoc0kVVAV9SkV91sNIqGPbsy8ZKNLrtiDnOJAXvx1Y1sTdKKOdqlbdcs51U3ebFmVCy37TVepLot9lD7jBy9eiOAAXM2YhbJQ5rIWkPnVTcbjX0iiXix557DHANWNk45zMt61KvtVbtX3T2sRRZ7KL0ZQEtHJoABcza6FsnD6+LhVXcPi16L04x4sR+VHOYYsLJxymFe1qNeba/averuYS2y2EPpzQBaOjIBDJiz0bVIHl4XD6+6e1j0WpxmxIv9qOQwx4CVjVMO87Ie9Wp71e5Vdw9rkcUeSm8G0NKRCWDAnI2uRfLwunh41d3DotfiNCNe7EclhzkGrGyccpiX9ahX26t2r7p7WIss9lB6M4CWjkwAA+ZsdC2Sh9fFw6vuHha9FqcZ8WI/KjnMMWBl45TDvKxHvdpetXvV3cNaZLGH0psBtHRkAhgwZ6NrkTy8Lh5edfew6LU4zYgX+1HJYY4BKxunHOZlPerV9qrdq+4e1iKLPZTeDKClIxPAgDkbXYvk4XXx8Kq7h0WvxWlGvNiPSg5zDFjZOOUwL+tRr7ZX7V5197AWWeyh9GYALR2ZAAbM2ehaJA+vi4dX3T0sei1OM+LFflRSmf/zj340vP+zTzaF8h6wZUSpzDdhGxbwqt2r7h7WIos9lOEUoSvHBDBgzgbPInl4XTy86u5h0WtxmhEv9qOSwjyYr/eePx84ASsbpxTmZT3p1/aq3avuHtYiiz2U/kygxSMSwIA5G1WL5OF18fCqu4dFr8VpRrzYj4qEeTBe4RPMV/hgwMrGScK8rId6tb1q96q7h7XIYg9Vb0bQ8pEIYMCcjaZF8vC6eHjV3cOi1+I0I17sR2WLeTz1GivDgJWN0xbzstbr1vaq3avuHtYiiz1U3VlB60chgAFzNpIWycPr4uFVdw+LXovTjHixH5U15nPmixOw8jEizssZprYA81Ri5eWlzC32UOVXQws9EMCAORtli+QhTWStofOqGwO2TyQRL/bcl5gvmS8MWPkYEeflDFNbgHkqsfLyUuYWe6jyq6GFHghgwJyNskXykCay1tB51Y0B2yeSiJd17nO3/pU+bXCO+Zr5woCVzw3ivJxhagswTyVWXl7K3GIPVX41tNADAQyYs1G2SB7SRNYaOq+6MWD7RBLxssx97XdXJSZszHz6sI0lNfwGrGx+EOdl/HJqwzyHWlkdKXOLPVTZlVC7FwJNGbAvv/xy+P7774c7d+4s8n/y5Mlw8+bN0+8//vjj4fLly72M12CRPKSJrDXoXnVjwPaJJOJlnntNwxOZb516jZXV1JMSeV7jxatu8mJKdOqV9RovUt0Weyi90aClIxNoyoD98MMPw5tvvjlcu3Zt0YSFMq+88srJmMTyH3zwwXDjxo0jj9PptVkkD2kiaw24V91sNPaJJOJlHwP28NKl00fMS0YeAyahtFyGOC/jl1Mb5jnUyupImVvsocquhNq9EGjKgOWYql/+8pcnY7V2anakwbRIHtJE1hpXr7oxYPtEEvFib8BSTr6iOgxY2fwgzsv45dSGeQ61sjpS5hZ7qLIroXYvBJozYKkmDAOmH6rSRKbfc1mLXnVjwMrGPbc28WJrwIL5uvb06XD+/PmkIcOAJeF6qTBxXsYvpzbMc6iV1ZEyx4CVcaa2HoEmDVi4vPB7sA8//HDY+o0XBkwvGGJL0kSm33NZi151Y8DKxj23NvFiZ8DiyVcOcwxYboT/pV4O87Ie9Wp71e5Vt+d4kTLHgOnNT1oqI9CsAQuXFczVw4cPh2+//XbxKjFgZQEwV1uayPR7LmvRq+4eFr2yka1Tm3ipb8CmTzrMZV7rqYwpkZWrPaWPGmW96iYv1oiG7Ta9xotUNwZsOwYoYUOgaQMWEPzkJz8ZLl26NNy/f3+WCAZMP1CkiUy/57IWvepmo1E27rm1iZe6Bmzu914lzGu8lywldkq0p/SjXdarbvKidiTI2vMaL1LdGDBZHFCqPoHdDdj0sfI5l/z111+fPhkxp76nOhbJQ5rIWuPmVTcbjX0iiXipZ8CWHrYBc/tYhznMUwh4jRepbos9VApvyvZLYHcD1i/6vCu3SB7SRJZ3BfVqedWNAasXE2stEy91DNjakw5hbh/rMId5CgGv8SLVbbGHSuFN2X4JNGvA1m4tlPw27KhDapE8pImsNcZedWPA9okk4kXfgG09Zh7m9rEOc5inEPAaL1LdFnuoFN6U7ZeASwMWhiv8NmzrCYlHHFaL5CFNZK3x9aobA7ZPJBEvegZs+rCNpRGFuX2swxzmKQS8xotUt8UeKoU3Zfsl4NaAhVOwZ8+eLT6c46hDapE8pImsNcZedWPA9okk4kXHgG2deo17gbl9rMMc5ikEvMaLVLfFHiqFN2X7JeDWgP3www/Dm2++OfT0AI4QphbJQ5rIWps2XnVjwPaJJOKl3IClmC/Pce5ZO3Fun19g3i5ziz2U/dXTo0cCbg1YgN3bI+gxYOtTjEXPPgXB3J55bTMgffFxqvmqrbv2SHiNda+6PccLzGvPxpfblzLHgNmPDT3OE2jCgP385z8fnj59mj1GPZ2CWSQPaSLLHrBKFb3qZqNRKSA2miVe8k/APvnN+8N7z58nDxzMk5EVV4B5McLkBmCejKy4gpS5xR6q+GJooAsCTRiwEtLBvIUJ9corr5Q046auRfKQJrLWoHnVjQHbJ5KIl3wD9uKrG1mDBvMsbEWVYF6EL6syzLOwFVWSMrfYQxVdCJW7IeDegHUzUn+9UIvkIU1krbH3qhsDtk8kES8YsJTI8xovXnWTF1OiU6+s13iR6rbYQ+mNBi0dmUDTBuzJkycn7C9fvnzkMUi6NovkIU1kScINCnvVzUbDIDhmuiBeMGApkec1XrzqJi+mRKdeWa/xItVtsYfSGw1aOjKBpg1YuL0wfO7fv3/kMUi6NovkIU1kScINCnvVzUbDIDgwYGLI0odwiBscFWSO5lArqwPzMn45tWGeQ62sjpS5xR6q7Eqo3QuBZg3Yl19+OXz44YfdPWZ+K/Askoc0kW1ptf7eq24MmHWk/KU/4mWeOwZsnovXePGq2/Mchbl9Tpcyt9hD2V89PXok0KQBC7ce3rx5c/j444+5/XASVRbJQ5rIWgt4r7rZaOwTScQLBiwl8rzGi1fd5MWU6NQr6zVepLot9lB6o0FLRybQnAGL5uuDDz4Ybty4McT/XhqEWO7IgzS+NovkIU1krTH3qpuNxj6RRLxgwFIiz2u8eNVNXkyJTr2yXuNFqttiD6U3GrR0ZAJNGbB42+HYVEUD9u233740DrF8Sydl9+7dG27fvv2S1hcvXpz5t3fffXf47LPPTv/tu+++Gy5cuLAZaxbJQ5rINsUaF/Cqm42GcaD8tTvi5WXu4eXK7//sk80B4TH0m4iaKUCc2w8FzNtlbrGHsr96evRIoAkD9sMPPwxvvvnmCb/pS5XXDFgoHx7U8frrr5+clrXwCQbswYMHw+PHjxflBPP1hz/84bRMNG0SE2aRPLwuHl51Y8D2mbnEy1nuwXyFlyvzG7D5ePQaL151kxfJiykEpHFusYdK0U3Zfgk0YcB+8pOfDEu3EnozYMFchc+nn346G1XPnj0bLl68ODx69Gi4evXqaZkrV64M169fH27durUajRbJQ5rIWps2XnWz0dgnkoiXv3GP5iv8CwYMA7bPjHy5V69z1KvuHtYiiz1UK/MHHW0TaMKArSE6mgGLp11ztySOT8WWmFgkD6+Lh1fdPSx6LabB1uJlzvgs3eqnqX1svjBgy5GqydxyPnjVTV60jJK/9eU1XqS6LfZQ+4wcvXojgAFTHrFwkhVfIB2bHputpVsU5/49JIq5z9tvv62smuYgAIE9Cfz41u8Wu//TvZ9Wk/bw0qXh2tOnZ9pf0xIL1tRU7WJpGAIQ6J7A559/Pty9e7d7DgDYn4B7A7Z2++L+eIchGrJowqa//4oal07Gptdg8dcb6V+SWuA71uBVN3/p3SeSWomXnFv+SrWHU6/wCb/5mn5y9EhHsFS3tJ8a5bxq96qbvFgjirfb9BovUt0We6htypSAwDA0YcDWHqQx9xj6uScitjyY586dGz766KOT33etGbCth3eEa7RIHtJE1hpzr7rZaOwTSa3ES47hKdE+veUQAyaLvxLmsh7qlPKqm7xYJx62WvUaL1LdFnuoLcZ8D4FAoAkDFoQEE/b06dPNpyCOn5jY0uPn18Jp/IANfgNWb+JJE3A9Bfkte9XuVXdLmztLA7ZlvgKXHD3SyCdepKT0ysFcj6W0JZhLSemVkzLHgOkxp6UyAs0YsHAZ05cwj/9teuo1V7YMRb3a4QQsPvUwPgVx+sh5noJYzl+agMt70m/Bq3avuns0YBLzhQFbntteY92r7pbmaGrGh3kqsfLyUuYYsHLWtKBDoCkDFi4pnnBdu3ZtuHPnzqkpm7vtMJqwlk7CgpEavwMs/Hf4jP9t6T1g0ycjzg2xRfKQJjKdENRrxatuNhp6MZDSUivxknPilKpdar4wYBiwlDlUu2xqnNfWI23fq+4e1iKLPZQ0TijXN4HmDNjUhP393//9cPPmzWHpd1+//OUvh3CqdP/+/SZGMp5wRTHvvPPO7DvBpk9LlJiv0KZF8vC6eHjV3cOi18TknIhoJV5qGrC1h22sjcmapqVH40vGuBXmEq3TMl61e9VNXsyJ0vI6XuNFqttiD1U+CrTQA4EmDdjUhIWTsKVPODH71a9+dXJa1sPHInlIE1lrvL3qZqOxTyS1Ei+1DFjKqdfcCKS8l0w6gq0wl+odl/Oq3atu8mJOlJbX8RovUt0We6jyUaCFHgg0a8AC/HCL4W9/+9tuzJUk4CyShzSRSfRalvGqm42GZZT8ra9W4qWGASs1X7VGpBXmOdfnVbtX3eTFnCgtr+M1XqS6LfZQ5aNACz0QaNqA9TAAqddokTykiSxVe+3yXnWz0agdGfPttxIv2gasVfPlOc49a28lznNmuVftXnX3EOcWe6icWKdOfwSaMGDxYRre3u+1R7hYJA+vi4dX3T0senvMla0+W4kXTQPWsvnyHOeetbcS51vzce57r9q96u4hzi32UDmxTp3+CGDAnI25RfLwunh41d3DotfiNGslXrQMWOvmy3Oce9beSpzn5ACv2r3q7iHOLfZQObFOnf4INGnAwpMNHz58mDQavZyeWSQPr4uHV909LHpJk9mocCvxUmrAcp90aIT5TDetMM+5dq/aveomL+ZEaXkdr/Ei1W2xhyofBVrogUCzBizAHz/ZMJgyyb8dfdAskoc0kbXG2qtuNhr7RFIr8VJiwDyceo1HtxXmORHnVbtX3eTFnCgtr+M1XqS6LfZQ5aNACz0QwIA5G2WL5CFNZK2h86qbjcY+kdRKvOQasIeXLg3vPX++D7zMXlthniPfq3avusmLOVFaXsdrvEh1W+yhykeBFnoggAFzNsoWyUOayFpD51U3G419IqmVeMkxYN5OvuIIt8I8J+K8aveqm7yYE6XldbzGi1S3xR6qfBRooQcCGDBno2yRPKSJrDV0XnWz0dgnklqJl1QDFszXtadPh/Pnz+8DrqDXVpjnXIJX7V51kxdzorS8jtd4keq22EOVjwIt9EAAA+ZslC2ShzSRtYbOq242GvtEUivxIjVg44dttKI9deS86maOpo60Tnmv8eJVdw9xbrGH0ol+Wjk6AQyYsxG2SB5eFw+vuntY9FqcZq3Ei8SAffKb98/83qsV7anj6lU3czR1pHXKe40Xr7p7iHOLPZRO9NPK0Qk0ZcDGsK9du8ZTEGeizyJ5eF08vOruYdFrMZG2Ei8SA/biqxtnELaiPXVcvepmjqaOtE55r/HiVXcPcW6xh9KJflo5OoGmDFh8l5f0kfNz5Y4+YBbJw+vi4VV3D4tei/OylXjBgLUYHS9raiVeUml51U1eTB1pnfJe40Wq22IPpTMStHJ0AhgwZyNskTykiaw1dF51s9HYJ5JaiRcM2D7jn9prK/HSi27yYupI65Q/epxb7KF0RoJWjk4AA+ZshC2Sx9ETcItDDnP7UWmFOQbMfuxzemwlXlK1e9WNAUsdaZ3yXuNFqttiD6UzErRydAIYMGcjbJE8pImsNXRedbPR2CeSWokXDNg+45/aayvx0otu8mLqSOuUP3qcW+yhdEaCVo5OoFkD9vDhwyT28fdjSZUcFrZIHkdPwC0OO8ztR6UV5hgw+7HP6bGVeEnV7lU3Bix1pHXKe40XqW6LPZTOSNDK0Qk0acCODr3k+iyShzSRlVxHjbpedbPRqBEN2222Ei8YsO2xaqFEK/GSysKrbvJi6kjrlPcaL1LdFnsonZGglaMTwIA5G2GL5CFNZK2h86qbjcY+kdRKvGDA9hn/1F5biZdedJMXU0dap/zR49xiD6UzErRydAJNGLCjQ9a8PovkcfQErDkeWm3BXIukvJ0WmP/zj340vP+zTzZF8x6wTUTVC7QQLzkX6VU3BixntMvreI0XqW6LPVT5KNBCDwQwYM5G2SJ5SBNZa+i86majsU8k7RkvwXiFz3vPnw+cgO0z/qm97hkvqVrH5b3qJi+WjHp+Xa/xItVtsYfKp0/NnghgwJyNtkXykCay1tB51c1GY59I2itegvkKxit+MGD7jH9qr3vFS6rOaXmvusmLpSOfV99rvEh1W+yh8shTqzcCGDBnI26RPKSJrDV0XnWz0dgnkvaIl6n5CleOAdtn/FN73SNeUjXOlfeqm7yoMfrpbXiNF6luiz1UOnVq9EgAA+Zs1C2ShzSRtYbOq242GvtEknW8zJkvDNg+Y5/Tq3W85GjEgGlRK2vHa6z0sBZZ7KHKoofavRDAgDkbaYvk4XXx8Kq7h0WvxWlmGS9L5gsD1mJkzGuyjBdNKl51kxc1o0Deltd4keq22EPJaVOyZwIYMGejb5E8pImsNXRedbPR2CeS5m79mz5tUEPZmvnCgGkQtmnDa37xqpu8aBPX0168xotUt8Ueap+Ro1dvBDBgzkbMInlIE1lr6LzqZqNhH0lrv7vSMmHjJx2uXSG/AbMf/5weveYXr7rJizlRWl7Ha7xIdVvsocpHgRZ6IIABczbKFslDmshaQ+dVNxsN20jKMTypCrdOvcbt5ejxGutedTNHU2eATnmv8eJVdw9xbrGH0ol+Wjk6AQyYsxG2SB5eFw+vuntY9FqaZjmGJ0V/ivkK7ebo8RrrXnUzR1NmgF5Zr/HiVXcPcW6xh9KbAbR0ZAIYMGeja5E8vC4eXnX3sOi1NM1yDI9Uf6r5woBJye5fzmt+8aqbvLhPzHuNF6luiz3UPiNHr94IYMCcjZhF8pAmstbQedXNRsM2kmoZsBzzhQGzHfuS3rzmF6+6yYsl0Zpf12u8SHVb7KHy6VOzJwIYMGejbZE8pImsNXRedbPRsI0kbQMmfdjG2lWmPhTEa6x71c0ctZ2jsTev8eJVdw9xbrGH2me20Ks3AhgwZyNmkTy8Lh5edfew6LU0zTQNWO6p1xyPlMfie411r7qZo/vMYK/x4lV3D3FusYfaZ7bQqzcCGDBnI2aRPLwuHl5197DotTTNtAyYpvlK5eM11r3qZo6mRqhOea/x4lV3D3FusYfSiX5aOToBDJizEbZIHl4XD6+6e1j0WppmGgZsT/NFvOwTTV7zi1fdxDlxnkJAGucWe6gU3ZTtlwAGTHnsv/nmm+GNN9440+p33303XLhw4cy/vfvuu8Nnn312+m9zZeakWSQPaSJTRlfcnFfdbDSKhz6pgVIDtrf5Il6ShlutsNf84lU3ca4WukkNeY0XqW6LPVQScAp3SwADpjz0586dG8ZmKhqt6b/94Q9/GB4/fnzS+71794bbt2+fqbckyyJ5SBOZMrri5rzqZqNRPPRJDZQYsBbMF/GSNNxqhb3mF6+6iXO10E1qyGu8SHVb7KGSgFO4WwIYMIOhD6bso48+Gm7dujU8e/ZsuHjx4vDo0aPh6tWrp71fuXJluH79+kmZtY9F8pAmMgN0SV141c1GI2mYiwvnGDCNJx0WCx814DXWvepmjmpGr7wtr/HiVXcPcW6xh5JHOCV7JoABMxj9sQGLp10vXrw403M4KRufii3JskgeXhcPr7p7WPQMppm4i1QD1sqp1/gCvca6V93MUfH0Ui3oNV686u4hzi32UKqTgMYOSwADVnlop7cXhv9+8ODB6e2Hsfu5fw+JYu7z9ttvV1ZN8xA4LoEf3/rd5sX96d5PT8o8vHRpuPb06WZ5CkAAAhCAQPsEPv/88+Hu3bvtC0Xh4QlgwCoOcTRf8fbD0NXSSdfSydhUnsVfb7z+9c6r7h7+6lhxmiU3LT0Ba/HkK16s11j3qps5mjzNVCp4jRevunuIc4s9lErw08jhCWDAKg1x+E3XkydPTn/7FbtZM2BzJ2MYMPkAsejJWWmV9MhcYsA++c37w3vPn2thUm/HI3fPmzvP2r3GCszV04aoQa/xItWNAROFAYUMCGDAlCHHh2yEZqe/8wr/xm/AlIGPmpMm4HoK8lv2qt2jbokBe/HVjfzBNKjpkbvnDbVn7V5jBeYGiWSmC6/xItWNAdsnruj1ZQIYMOWoCA/ceOedd4ZPP/10tuVo0Kbv/eIpiOUDIU3A5T3pt+BVu0fdGDCXbRLYAAAgAElEQVT9+JW26DFe4rV51e5VNwZMOqt0y3mNF6luDJhuvNBaPgEMWD67l2rGlzDPnXyNC09vQ5T+/iu0YZE8pIlMEZ1KU151s9FQGX5xIxgwMSr1gsxRdaSbDcJ8E5F6AZirI91sUMrcYg+1KZYCEBiGAQOmGAbRSM01efny5TNPPoy/EYtlt0xbLGeRPKSJTBGdSlNedWPAVIZf3AgGTIxKvSBzVB3pZoMw30SkXgDm6kg3G5Qyt9hDbYqlAAQwYP5iwCJ5SBNZa/S86saA2UYSBsyW97g35qg9e5jDPIWA13iR6rbYQ6Xwpmy/BDgBczb2FslDmshaQ+dVNwbMNpIwYLa8MWD78facWzxrZy2yj3kpc4s9lP3V06NHAhgwZ6NmkTykiaw1dF51s9GwjSQMmC1vDNh+vD3nFs/aWYvsY17K3GIPZX/19OiRAAbM2ahZJA9pImsNnVfdbDTsIim8XPn9n32y2SGPod9ElFWAOZqFragSzIvwZVWGeRa2okpS5hZ7qKILoXI3BDBgzobaInlIE1lr6LzqxoDZRFIwX+HlypyA2fCe64U5as8e5jBPIeA1XqS6LfZQKbwp2y8BDJizsbdIHtJE1ho6r7oxYPUjKZqv0BMGrD7vpR6Yo/bsYQ7zFAJe40Wq22IPlcKbsv0SwIA5G3uL5CFNZK2h86obA1Y3ksbmCwNWl/VW68zRLUL638Ncn+lWizDfIqT/vZS5xR5K/+po8YgEMGDORtUieUgTWWvovOrGgNWJpGC8wifcdjj+cAJWh7ekVeaohJJuGZjr8pS0BnMJJd0yUuYWeyjdK6O1oxLAgDkbWYvkIU1kraHzqhsDph9J01MvDJg+45wWmaM51MrqwLyMX05tmOdQK6sjZW6xhyq7Emr3QgAD5mykLZKHNJG1hs6rbgyYbiStma/QEydgurxTWmOOptDSKQtzHY4prcA8hZZOWSlziz2UzhXRytEJYMCcjbBF8pAmstbQedWNAdOLpC3zhQHTY53TEnM0h1pZHZiX8cupDfMcamV1pMwt9lBlV0LtXghgwJyNtEXykCay1tB51d2LAZs7edJ835bEfGHA9p21zFF7/jCHeQoBr/Ei1W2xh0rhTdl+CWDAnI29RfKQJrLW0HnV3YMBW7vtT8OESc0XBmzfWcsctecPc5inEPAaL1LdFnuoFN6U7ZcABszZ2FskD2kiaw2dV91HN2A1f3O19KTDtdisqcdqTniNda+6jz5HreI2tR+v8eJVdw9xbrGHSo1zyvdJAAPmbNwtkofXxcOr7qMverUMT8qp13ia19JjmUq8xrpX3Uefo5axm9KX13jxqruHOLfYQ6XEOGX7JYABczb2FsnD6+LhVffRF70ahifXfAXWNfRYpxGvse5V99HnqHX8SvvzGi9edfcQ5xZ7KGl8U65vAhgwZ+NvkTy8Lh5edR990dM2PCXmCwO2b8JjjtrzhznMUwh4jRepbos9VApvyvZLAAPmbOwtkoc0kbWGzqtuDNgwSB/EUWq+YszWfihI7bnhNda96j76HK0dr7nte40Xr7p7iHOLPVRuvFOvLwIYMGfjbZE8vC4eXnUffdHTOAHLedjG1tSu/Vj8rf5Lvvca6151H32OlsRizbpe48Wr7h7i3GIPVXNO0PZxCGDAnI2lRfLwunh41X30Ra/UgGmdek2nOvFin/xgDvMUAl7jxavuo69F4fos9lApMU7ZfglgwJyNvUXy8Lp4eNV99EWvxIDVMl+emXvWzhy1X3BgDvMUAl7jRarbYg+Vwpuy/RLAgDkbe4vkIU1kraHzqvvoG+pcA1bTfHlm7lk7c9Q+a8Ic5ikEvMaLVLfFHiqFN2X7JYABczb2FslDmshaQ+dV99E31DkGrLb58szcs3bmqH3WhDnMUwh4jRepbos9VApvyvZLAAPmbOwtkoc0kbWGzqvuo2+oUw2YhfnyzNyzduaofdaEOcxTCHiNF6luiz1UCm/K9ksAA+Zs7C2ShzSRtYbOq+6jb6ilBqzGkw7XYpR4sZ/BMId5CgGv8eJV99HXonB9FnuolBinbL8EMGDOxt4ieXhdPLzqPvqiJzFgn/zm/eG9589NZyPxYor7pDOYwzyFgNd48arb8xyVMrfYQ6XEOGX7JYABczb2FslDmshaQ+dV99EXPYkBk76IWTPmiBdNmrK2YC7jpFkK5po0ZW3BXMZJs5SUucUeSvO6aOu4BDBgzsbWInlIE1lr6LzqxoANAwYsbTZ5jXWvuo8+R9Oiz66013jxqruHOLfYQ9nNEHryTAAD5mz0LJKH18XDq+6jL3qcgOknGa+x7lX30eeofoTqtOg1Xrzq7iHOLfZQOtFPK0cngAFzNsIWycPr4uFV99EXPQyYfpLxGutedR99jupHqE6LXuPFq+4e4txiD6UT/bRydAIYMGcjbJE8vC4eXnUffdHDgOknGa+x7lX30eeofoTqtOg1Xrzq7iHOLfZQOtFPK0cngAFzNsIWycPr4uFV99EXPQyYfpLxGutedR99jupHqE6LXuPFq+4e4txiD6UT/bRydAIYMGcjbJE8vC4eXnUffdHDgOknGa+x7lX30eeofoTqtOg1Xrzq7iHOLfZQOtFPK0cngAFzNsIWycPr4uFV99EXPQyYfpLxGutedR99jupHqE6LXuPFq+4e4txiD6UT/bRydAIYsB1G+N69e8Pt27df6vnFixebaiySh9fFw6vuIy96//yjHw3v/+yTzbjmMfSbiM4U8BrrXnUfeY6mRZ5taa/x4lV3D3FusYeynSX05pUABmyHkQsG7MGDB8Pjx4+Te7dIHl4XD6+6j7joBeMVPu89fz5wApY8zTcreI11r7qPOEc3g6yBAl7jxavuHuLcYg/VwNRBggMCGLAdBundd9896fXTTz9N7t0ieXhdPLzqPtqiF8xXMF7xgwFLnuabFbzGulfdR5ujmwHWSAGv8eJVdw9xbrGHamT6IKNxAhiwHQYIA1YHOoteHa5rrU6ZT81XqIsB0x8Xr7HuVXcPG1P9KC1v0Wu8eNXdQ5xjwMrnJS3oEMCA6XBMauXKlSvDkydPztSZ+/1XSBRzn7fffjupPwpDwILAw0uXhmtPn77U1Y9v/W6z+z/d++lmGQpAAAIQgAAESgh8/vnnw927d0uaoC4EVAhgwFQwljUSDRkP4SjjyF8dy/jl1I7M506+YnucgOWQXa/jNda96g6j4VW7V90w188bkha9xotUNydgkiigjAUBDJgFZUEf586dGz766KPh1q1bq6Utkoc0kQkuy7SIV92eNxrjh20sDTYGTH8aeI11r7o9z1GY68+/rRZhvkVI/3spc4s9lP7V0eIRCWDAGhnVcAp2/fp1DFjBeEgTcEEX1ap61B7MV7jl8Pz586tcMGD6YeMxXjybGM/avcYKzPXzhqRFr/Ei1Y0Bk0QBZSwIYMAsKAv6CCdgjx49Gq5evcoJmIDXXBFpAs5svmo1b9rjLYcS3Rgw/dCRcNfvtbxFr7oxA+Vjn9OC13jxqruHOMeA5cxE6tQggAGrQXWjzXDaNX4HWPjv8JG8F8wieXhdPLzq9rbojX/vJWGOAdNPMhLu+r2Wt+hVt7c5Oh4pmJfHbWoLME8lVl5eytxiD1V+NbTQAwEM2A6j/OzZs+HixYunPb/zzjvid4JZJA9pItsB3WqXXnV72txNH7YhYY4B058pEu76vZa36FW3pzk6HSWYl8dtagswTyVWXl7K3GIPVX41tNADAQyYs1G2SB7SRNYaOq+6vWzu5p50KGGOAdOfKRLu+r2Wt+hVt5c5OjdCMC+P29QWYJ5KrLy8lLnFHqr8amihBwIYMGejbJE8pImsNXRedbe+uVt70qGEOQZMf6ZIuOv3Wt6iV92tz9G1kYF5edymtgDzVGLl5aXMLfZQ5VdDCz0QwIA5G2WL5CFNZK2h86q75c3d2vu9pLoxYPozxWuse9UtjXX9kS5vEeblDFNbgHkqsfLyUuYWe6jyq6GFHghgwJyNskXykCay1tB51d3q5m7LfEl1Y8D0Z4rXWPeqWxrr+iNd3iLMyxmmtgDzVGLl5aXMLfZQ5VdDCz0QwIA5G2WL5CFNZK2h86q7xc2dxHxJdWPA9GeK11j3qlsa6/ojXd4izMsZprYA81Ri5eWlzC32UOVXQws9EMCAORtli+QhTWStofOqu7XNndR8SXVjwPRnitdY96pbGuv6I13eIszLGaa2APNUYuXlpcwt9lDlV0MLPRDAgDkbZYvkIU1kraHzqrvG5m7O9Lz46sbqkK09bGOpooQ5Bkx/pki46/da3qJX3TXmaDlNWQswl3HSLAVzTZqytqTMLfZQMsWU6p0ABsxZBFgkD2kiaw2dV93am7s1w7NkwlJOvcbjLmGOAdOfKRLu+r2Wt+hVt/YcLScpbwHmclZaJWGuRVLejpS5xR5KrpqSPRPAgDkbfYvkIU1kraHzqltzc5djdnLNl1R3jiaL2CJeLCif7QPmME8h4DVevOqW5vSUMbQqK2VusYeyumb68U0AA+Zs/CyShzSRtYbOq27NRS/V7JSYL6nuVE1WcUW8WJH+Wz8wh3kKAa/x4lW3NKenjKFVWSlziz2U1TXTj28CGDBn42eRPKSJrDV0XnVrLnopZqfUfEl1p2iyjCnixZL2X/qCOcxTCHiNF6+6Pc9RKXOLPVRKjFO2XwIYMGdjb5E8pImsNXRedWsuelKzo2G+pLqlmqzjiXixJo4BsycOc5inEfCaF6W6LfZQacQp3SsBDJizkbdIHtJE1ho6r7qlRkbCW2J2PvnN+8N7z59LmtssI2We82CQzc4LC0i1F3ZTpbpX7V51a87RKgGx0ijMrYljeu2Jy5lb7KH2uH769EcAA+ZszCySh9cF26tuzc2dxIBtPY4+ZUqkMM95NH6KltSyKdpT265d3qt2r7o152jt2Ji2D3Nr4nIzYK9su0ev8SLVbbGH2qZMCQgMAwbMWRRYJA9pImsNnVfdmpu7lg0Y8aJHwGuse9WtOUf1okDWEsxlnDRLwVyTpqwtKXOLPZRMMaV6J4ABcxYBFslDmshaQ+dVt+bmDgMmj0riRc5KqyTMtUjK24G5nJVWSZhrkZS3I2VusYeSq6ZkzwQwYM5G3yJ5SBNZa+i86saA7RNJxIs9d5jDPIWA13jxqltzLUoZZ42yUuYWeyiN66GN4xPAgDkbY4vkIU1kraHzqltz0eMETB6VxIuclVZJmGuRlLcDczkrrZIw1yIpb0fK3GIPJVdNyZ4JYMCcjb5F8pAmstbQedWNAdsnkogXe+4wh3kKAa/x4lW35lqUMs4aZaXMLfZQGtdDG8cngAFzNsYWyUOayFpD51W35qLHCZg8KokXOSutkjDXIilvB+ZyVlolYa5FUt6OlLnFHkqumpI9E8CAORt9i+QhTWStofOqW8uAhZcrv/+zTzaHZa/H0G8KMy7Qe7wY4z7pDub21GEO8xQCXuNFqttiD5XCm7L9EsCAORt7i+QhTWStofOqW2NjGsxXeLkyJ2DyqOw5XuSUdEvCXJenpDWYSyjploG5Lk9Ja1LmFnsoiV7KQAAD5iwGLJKHNJG1hs6r7lIDFs1XaAcDJo/KXuNFTki/JMz1mW61CPMtQvrfw1yf6VaLUuYWe6gtrXwPgUAAA+YsDiyShzSRtYbOq+5cAxaMV/iEk6/4wYDJo7K3eJGTqVcS5vXYLrUMc5inEPAaL1LdFnuoFN6U7ZcABszZ2FskD2kiaw2dV905Bmx86jUeBwyYPCp7ihc5lbolYV6X71zrMId5CgGv8SLVbbGHSuFN2X4JYMCcjb1F8pAmstbQedWdasCWzFdoBwMmj8pe4kVOpH5JmNdnPO0B5jBPIeA1XqS6LfZQKbwp2y8BDJizsbdIHtJE1ho6r7pTDNia+cKApUVkD/GSRqR+aZjXZ4wBs2cMcz/MLfZQ+9NAgQcCGLCdR+nKlSvDL37xi+Hq1asiJRbJw+smyatuqQHbMl8YMNEUOi109HhJo2FTGuY2nMe9wBzmKQS8xotUt8UeKoU3ZfslgAHbaezv3bs33L59+6T3R48eYcAUxkGagBW6Um9iTfvcwzaWBHALonxojhovcgL2JWEO8xQCXuPFq27pHwNTxtCqrJQ5BsxqROhniwAGbItQhe/Dqdf169eHW7duDefOncOAKTGWJmCl7lSbWdIuOfUaC8GAyYfliPEiv/p9SsLcnjvMYZ5CwGu8SHVjwFKigbI1CWDAatIVtI0BE0ASFpEmYGFzpsXmtKearyAYAyYftqPFi/zK9ysJc3v2MId5CgGv8SLVjQFLiQbK1iSAAatJV9D2mgELiWLu8/bbbwtapohnAg8vXRquPX2afAk/vvW7zTp/uvfTzTIUgAAEIAABCByNwOeffz7cvXv3aJfF9TgkgAHbedA4AdMbAOlfwPR61GtprD3n5Csq4QRMPiZHiRf5Fe9fEub2YwBzmKcQ8BovUt2cgKVEA2VrEsCA1aQraBsDJoAkLCJNwMLmTItF7SXmKwjGgMmH7QjxIr/aNkrC3H4cYA7zFAJe40WqGwOWEg2UrUkAA1aTrqBtDJgAkrCINAELmzMtlvKkwzVhGDD5sHmOF6/aveoOUeVVu1fdMJfnMs2SXuNFqhsDphkttFVCAANWQk+hLgZMAeJfm5AmYL0edVoK5iv83uv8+fPFDWLA5Ai9xgsbU/kYa5b0Gi9edRPnmtErb8trvEh1Y8DksUDJugQwYHX5braOAdtEJC4gTcDiBg0KxlsOtbRjwOSDpsVc3qNeSa/averGDOjFbkpLXuPFq+4e4hwDljIDKVuTAAasJl1B2xgwASRhEW+L3vj3XlraMWDCYHF8S1kPmyT5KNqV1Jqjdor/0pNX3Z61w9w6yuVxjgGzHxt6nCeAAXMWGRbJw+vi4Un39GEbWtoxYPIJrcVc3qNeSa/averGDOjFbkpLXuPFq+4e4txiD5US45TtlwAGzNnYWyQPr4uHB91LD9vQ0o4Bk09oLebyHvVKetXuVXcPG1O96NRryWu8eNXdQ5xb7KH0ZgAtHZkABszZ6FokD6+LR+u61x4xr6UdAyaf0FrM5T3qlfSq3avuHjametGp15LXePGqu4c4t9hD6c0AWjoyAQyYs9G1SB5eF4+WdW+930tLOwZMPqG1mMt71CvpVbtX3T1sTPWiU68lr/HiVXcPcW6xh9KbAbR0ZAIYMGeja5E8vC4erereMl+aix4GTD6hW40XyRV41e5Vt+YclYyvZhmYa9KUtQVzGSfNUlLmFnsozeuireMSwIA5G1uL5CFNZK2ha1G3xHxpbu4wYPKobDFepOq9aveqW3OOSsdYqxzMtUjK24G5nJVWSSlziz2U1jXRzrEJYMCcja9F8pAmstbQtaZbar40N3cYMHlUthYvcuXyRy6ntGlRFuYWlM/2AXOYpxDwGi9S3RZ7qBTelO2XAAbM2dhbJA9pImsNXSu6l550uMZLSzsGTB6VWszlPeqV9Krdq27NP5LoRYGsJZjLOGmWgrkmTVlbUuYWeyiZYkr1TgAD5iwCLJKHNJG1hq4F3SmnXmN+WtoxYPKo1GIu71GvpFftXnVjwPRiN6Ulr/HiVXcPcW6xh0qJccr2SwAD5mzsLZKH18Vjb9255ktz0cOAySf03vEiV/pySa/averWnKMl455TF+Y51MrqwLyMX05tKXOLPVSOfur0RwAD5mzMLZKHNJG1hm5P3SXmS3NzhwGTR+We8SJXOV/Sq3avujXnaOnYp9aHeSqx8vIwL2eY2oKUucUeKlU75fskgAFzNu4WyUOayFpDt5fuUvOlubnDgMmjcq94kStcLulVu1fdmnNUY/xT2oB5Ci2dsjDX4ZjSipS5xR4qRTdl+yWAAXM29hbJQ5rIWkNnrTvnYRtLzLS0Y8DkUanFXN6jXkmv2r3qxoDpxW5KS17jxavuHuLcYg+VEuOU7ZcABszZ2FskD6+Lh6VujVOvcehpaceAySe0FnN5j3olvWr3qruHjaledOq15DVevOruIc4t9lB6M4CWjkwAA+ZsdC2Sh9fFw0q3tvnSXPQwYPIJbRUvckXykl61e9WtOUflo6xTEuY6HFNagXkKLZ2yUuYWeyidK6KVoxPAgDkbYYvkIU1kraGz0F3DfGlv7tZM2IuvbqgOmwVzVcGjxtBei+xyuzCHeQoBr/HiVbf2WpQy1qVlpcwt9lCl10L9PghgwJyNs0XykCay1tDV1l3LfGkuepyAyaOydrzIlaSX9Krdq27NOZo+2mU1YF7GL6c2zHOoldWRMrfYQ5VdCbV7IYABczbSFslDmshaQ1dTd03zpbm5w4DJo7JmvMhV5JX0qt2rbs05mjfi+bVgns8utybMc8nl15Myt9hD5V8FNXsigAFzNtoWyUOayFpDV0O35pMO13hpaceAyaNSi7m8R72SXrV71Y0B04vdlJa8xotX3T3EucUeKiXGKdsvAQyYs7G3SB5eFw9t3bVPvcahp6UdAyaf0FrM5T3qlfSq3avuHjametGp15LXePGqu4c4t9hD6c0AWjoyAQyYs9G1SB5eFw9N3ZbmS3PRw4DJJ7RmvMh71SnpVbtX3ZpzVCcC5K3AXM5KqyTMtUjK25Eyt9hDyVVTsmcCGDBno2+RPKSJrDV0WrqtzZf25o6nIMoiUyteZL3plvKq3atu7TmqGw3rrcHckvZf+oJ5u8wt9lD2V0+PHglgwJyNmkXy8Lp4aOjew3zVWLDnTJj2I+hr6LacjhrxYql33JdX7V51e451mNvPUpi3y9xiD2V/9fTokQAGzNmoWSQPr4tHiW6rh20shVuJ9mmbnIDJJrUmc1mPeqW8aveqGwOmF7spLXmNF6+6e4hziz1USoxTtl8CGDBnY2+RPLwuHrm69zr1qnGiwW/A5BM6N17kPdQr6VW7V909bEzrRWt+y17jxavuHuLcYg+VH/HU7IkABszZaFskD6+LR47uFsyX5qKHAZNP6Jx4kbdet6RX7V51a87RupHxcuswtybOb8DsicuZW+yh9rh++vRHAAPmbMwskofXBTtVdyvmS3NzhwGTT+jUeJG3XL+kV+1edWvO0frRcbYHmFsTl5sBe2XbPXqNF6luiz3UNmVKQGAYMGDOosAieUgTWWvoUnS3ZL40N3cYMHlUpsSLvFWbkl61e9WtOUdtIuRvvcDcmjgGzJ64nLnFHmqP66dPfwQwYM7GzCJ5eF2wJbr3ftjGUrhJtEtCFQMmofSXMlrM5T3qlfSq3atuz/ECc715J20J5lJSeuWkzC32UHpXRUtHJoABcza6FslDmshaQ7elu7VTrzG/Le0prHkKooyWJnNZj3qlvGr3qhsDphe7KS15jRevunuIc4s9VEqMU7ZfAhgwZ2NvkTy8Lh5ruls2XzUWPd4Dtj2xvcZ5jXjZpqVTAuY6HFNagXkKLZ2yMNfhmNKKlLnFHipFN2X7JYABczb2FslDmshaQ7eku3XzxYZ6n0jyGufEC/GSQoA4T6GlUxbmOhxTWpEyt9hDpeimbL8EMGDOxt4ieUgTWWvo5nR7MF9sqPeJJK9xTrwQLykEiPMUWjplYa7DMaUVKXOLPVSKbsr2SwAD5mzsLZKHNJG1hm6q24v5YkO9TyR5jXPihXhJIUCcp9DSKQtzHY4prUiZW+yhUnRTtl8CGDBnY2+RPKSJrDV0UXerTzpc4+WdeWuxINHjlTkGTDK6+mW8xotX3cS5fgxLWvQaL1LdFnsoCWfKQAAD5iwGLJKHNJG1hi7ofnjp0vDe8+etSdvU45n5+fPnN6+vxQJembMx3SeavMaLV93EOXGeQkAa5xZ7qBTdlO2XAAbM2dhbJA9pImsNnadbDqfsvDL3qtvz5s6zduLFPmvCHOYpBLzGi1S3xR4qhTdl+yWAAXM29hbJQ5rIWkIXzNe1p08HTmP+Mio8hn47Oj3Gebwqr9q96sb0bs+nGiW8xotX3T3EucUeqsZcoM3jEcCAORtTi+ThbfGIJ1/edI9DT1M7L2KWTWpN5rIe9Up51e5Vdw8bU73o1GvJa7x41d1DnFvsofRmAC0dmQAGzNnoWiQPL4vH9GEbXnTPhZyW9jXzFft98dUNtajX0q0mKKEhtCfAUioKcyWQCc3APAGWUlGYK4FMaEbK3GIPlSCboh0TwIA5G3yL5CFNZHuim/u9lwfdS8y0tGPA5FGpxVzeo15Jr9q96u7hZEAvOvVa8hovXnX3EOcWeyi9GUBLRyaAAXM2uhbJo/XFY+lhG63rXgs1Le0YMPmE1mIu71GvpFftXnX3sDHVi069lrzGi1fdPcS5xR5KbwbQ0pEJYMCcja5F8mh58Vh70mHLurfCTEs7BmyL9N++12Iu71GvpFftXnX3sDHVi069lrzGi1fdPcS5xR5KbwbQ0pEJYMCcja5F8mh18dh6zHyruiUhpqUdAyah/ZcyWszlPeqV9Krdq27P8QJzvXknbQnmUlJ65aTMLfZQeldFS0cmgAFzNroWyUOayCzRbZkvzxskbe08BVEWmS3GuUy5X/MIc+kI65WDuR5LaUswl5LSKydlbrGH0rsqWjoyAQyYs9G1SB7SRGaBbvqkw7U+W9KdykZbO+8B2x4BbebbPeqV8Krdq27tP5LoRcJ2SzDfZqRdAubaRLfbkzK32ENtq6UEBIYBA+YsCiyShzSR1UYnOfUaa2hFdw4Xr9q96va8ofasnXjJyQ5ldWBexi+nNsxzqJXVkTK32EOVXQm1eyGAAXM20hbJQ5rIaqJLNV+eN6WetbcQK7lxiPZccvn1YJ7PLrcmzHPJ5deDeT673JpS5hZ7qNxroF5fBDBgzsbbInlIE1ktdDnmy7OJ8ax971gpiUG0l9DLqwvzPG4ltWBeQi+vLszzuJXUkjK32EOVXAd1+yGAAXM21hbJQ5rIaqDLNV+eTYxn7S6U8DIAABP2SURBVHvGSmn8ob2UYHp9mKczK60B81KC6fVhns6stIaUucUeqvRaqN8HAQyYs3G2SB7SRKaJLuVhG0v97qFbi4FX7V51eza9nrUTL1oZQ94OzOWstErCXIukvB0pc4s9lFw1JXsmgAFzNvoWyUOayLTQlZx6jTVY69a6fjbUmiTlbREvclZaJWGuRVLeDszlrLRKwlyLpLwdKXOLPZRcNSV7JoABczb6FslDmsg00GmZL88mxrN2y1jRiDcMuzbFtPaIlzReGqVhrkExrQ2Yp/HSKC1lbrGH0rge2jg+AQyYszG2SB7SRFaKTtN8eTYxnrVbxUpprM3VR3sNquttwhzmKQS8xotX3T2sRRZ7qJQYp2y/BDBgzsbeInlYLB7a5svzwuFZu0Ws1JqiaK9FdrldmMM8hYDXePGqu4e1yGIPlRLjlO2XAAbM2dhbJI/ai0cN8+V54fCsvXas1JyeaK9Jd75tmMM8hYDXePGqu4e1yGIPlRLjlO2XAAbM2dhbJI9ai4fGkw7XhquWbosQ8ardq27PGw3P2okXi2xytg+YwzyFgNd4keq22EOl8KZsvwQwYM7G3iJ5SBNZCrpap15jDTV0p1xjSVmv2r3q9mxiPGsnXkqyRF5dmOdxK6kF8xJ6eXWlzC32UHlXQK3eCGDAnI24RfKQJjIpOgvz5XlT6lm7dqxIY0qjHNo1KKa1AfM0XhqlYa5BMa0NmKfx0igtZW6xh9K4Hto4PgEMmLMxtkge0kQmQWdlvjybGM/aNWNFEk+aZdCuSVPWFsxlnDRLwVyTpqwtmMs4aZaSMrfYQ2leF20dlwAGzNnYWiQPaSLbQmdpvjybGM/atWJlK5ZqfI/2GlTX24Q5zFMIeI0Xr7p7WIss9lApMU7ZfglgwJyNvUXyKF08aj9sY2nISnXvGQpetXvV7Xmj4Vk78WKfZWAO8xQCXuNFqttiD5XCm7L9EsCAORt7i+QhTWRz6KxPvcYaSnTvHQZetXvV7dnEeNZOvNhnGpjDPIWA13iR6rbYQ6Xwpmy/BDBgzsbeInlIE9kU3Z7my/Om1LP23FhpYdqh3X4UYA7zFAJe48Wr7h7WIos9VEqMU7ZfAhgwZ2NvkTxyFo+9zZfnhcOz9pxYaWXKod1+JGAO8xQCXuPFq+4e1iKLPVRKjFO2XwIYMGdjb5E8UhePFsyX54XDs/bUWGlpuqHdfjRgDvMUAl7jxavuHtYiiz1USoxTtl8CGDBnY2+RPFIWj1bMl+eFw7P2lFhpbaqh3X5EYA7zFAJe48Wr7h7WIos9VEqMU7ZfAhiwjbF/9913h88+++y01HfffTdcuHBhtVZKnStXrgy/+MUvhqtXr4qi0CJ5SBaPvZ50uAZJolsEeYdCXrV71e15o+FZO/Fin1xgDvMUAl7jRarbYg+Vwpuy/RLAgK2MfTBSf/jDH4bHjx+flLp3795w+/btYc2ESevEtkK7jx49cmXAWjr1Gg+fNAG3ON29aveq27OJ8aydeLHPPjCHeQoBr/Ei1Y0BS4kGytYkgAFboPvs2bPh4sWLL5mjcGJ1/fr14datWy/VlNYZt3Hu3DlXBqxV8+V5U+pZu3TRq5nEcttGey65/Howz2eXWxPmueTy68E8n11uTSlzDFguYeppE8CALRCNJ1QvXrw4U2J6wjX+MqeOJwPWsvnybGI8a5cuetqJS6M9tGtQTGsD5mm8NErDXINiWhswT+OlUVrKHAOmQZs2NAhgwFYM2IMHD05vP4zFgsma+/fw/dJ3a3W8GLDWzZdnE+NZu3TR00hW2m2gXZvodnsw32akXQLm2kS324P5NiPtElLmGDBt8rSXSwADtkBu6aRr6ZQrNJNTZ82AhUTBBwIQgAAEIAABCEBAh8Ddu3d1GqIVCBQQwIBlGLClE7A1A7ZUJ/UErGCsxVX5C5EYlVpBmKuhFDcEczEqtYIwV0MpbgjmYlRqBWGuhlLcEMzFqCjYCAEM2MJA5PyeK6cOBqyRmbCzDBYP+wGAOcztCdj3SJzD3J6AfY/EuT1zeiwjgAFb4BefaDh95LzkKYgpdTBgZQF8lNosHvYjCXOY2xOw75E4h7k9AfseiXN75vRYRgADtsJv6Z1e8cmI33zzzfDGG2+ceYz8Vp1pdxiwsgA+Sm0WD/uRhDnM7QnY90icw9yegH2PxLk9c3osI4AB2+AXTryePHlyWmr8WPq1934t1fFgwMpCitoQgAAEIAABCEAAAhCAwBIBDBixAQEIQAACEIAABCAAAQhAwIgABswINN1AAAIQgAAEIAABCEAAAhDAgBEDEIAABCAAAQhAAAIQgAAEjAhgwIxA0w0EIAABCEAAAhCAAAQgAAEMGDEAAQhAAAIQgAAEIAABCEDAiAAGzAj0nt2sPclx+t1U5/ipj0vXEJ8G+c477wyffvrpnpfaTN81mMcXfeeMUTNgKgqpwTzKDa+X+Oyzz07VP3r0aLh69WrFq/HRtDZzjXzkg1yeSm3exPf2ONRivtbutqpjl5CwycnJ0zrTd7YemypX1xoBDFhrI6KsJ7xnbGyMYgLaMlYp7yeLyRID9pfBq8U8GLAHDx4Mjx8/Vo4S/83VYj43nv5p6VxBTeZThSn5SOfq2mulFu/pmhD/0MMfGerl8tyxbC8q9RVJ2OTE7NI7WjFh+mNIizICGDAZJ5el4ouip2YrJLiPPvpouHXr1ux1pWz0Y9nQ0Guvvdb9CVhN5mEBCR9OGc+GLczt01NN5tOrSclH9iRseqzJe249CH9U6z2f12Ke265NpO3bi5RNasyuvbP1+vXri3uhfWnQ+9EJYMAOPMJLG5e1jXxMVJK/Co3L/sf/+B+7X7BDKNVkjgGbn6w1mYeFXjIXDpxGkv5Io5VbYqcp+ejIY1AzxoPZmm5C5/7tyHznrq0W85x2e2EvZZMas/FUd/rH6OmpWC+cuc42CGDA2hiHKiqWks7aXzdTNvnjv0LxF9O/DGFN5nO/j9m6lbRKYDXWaC3m8a+xwYBdvHjx9KrXTo8bQ1NNTi3mU8Ep+ajaxTbQcE3e0eTGXMKJY91cnjOWDYSgiQQpm9SYXYppYt1kWOlkgQAG7OChMb2fOia4ud9rpfy1eWq4MGB/C6RazKehGg0ZJuzl32poxHk0YJcvXz793V2cI5iwOszHMZ6Sjw6exk8ur1ZeiXE+ZjiO+R7YLl1jLeb/f3t3r1s1D4ABODeCUKXOnZiYWLgA2Loi5gqJjaUbWxdmxMpWLoCFqRMTcyWEuJFPBrmfj3F+j5OTc/J0o01i+7Gbnhc7zpjrbs1/iM3YMds209UW+LZmrr2HERDADuO+aKnhhha/QvCKX/mzREP/t7l0MxPAdru0tnnXBwRh4K9ObfP4xzlfguiP9u5/NtS8t6TjfOj9aNGb6YELqz3GSzvY2tV2mXv50L488JA7SPFdNlPGbFcAs7HVQbpYoU3TCGAbHAal9dNtD6nmPPG4Lja7Z/2rs495l7VnNdp19jVveyBcAJvPPF556P1og7fvnSbvO8bbxrIxPv8Yz0twLx9mPmXMegZs63fKdbZfAFtnv8xWq3ztdCxo3z+4ZsDau2wu8zjrI/D+a1/DvG0JnOcGymO9hnmt+9FsN9AVXbiG95QPsysiWLwqNcxLlW677uINXGGBpee93rx50+RL77s+w7Tdy4XeFXb4hqokgJ14Z4cbTHxvVNfzK10BKs4EdH3QF8D+H0hzmafXDaWFf4cv7wX7azHHOM/fNzPkd+HEbykPzZvLPI7trW+DXpohmWOM51t6e85x2Xs5792RPuS+0jdmS/fptveAeYZ6K3+x1tdOAWx9fVK1RvnDqm1bane9G2zIciAB7P9um8s8X/7pxdfzm4cS4v+sxtLMOP6VmGuch2v3vauw6k3ySC42p3e+w6oxPu8YH9qXRzI0q1ZzqE3XmO1679fd3d1DfYWvql3nYiMFBLCRYA4nQIAAAQIECBAgQIDAVAEBbKqc8wgQIECAAAECBAgQIDBSQAAbCeZwAgQIECBAgAABAgQITBUQwKbKOY8AAQIECBAgQIAAAQIjBQSwkWAOJ0CAAAECBAgQIECAwFQBAWyqnPMIECBAgAABAgQIECAwUkAAGwnmcAIECBAgQIAAAQIECEwVEMCmyjmPAAECBAgQIECAAAECIwUEsJFgDidAgAABAgQIECBAgMBUAQFsqpzzCBAgQIAAAQIECBAgMFJAABsJ5nACBAgQIECAAAECBAhMFRDApso5jwABAkcm8OTJk+bi4qL59OnTkdVcdQkQIECAwOkICGCn05daQoDAiQn8/v27ub6+7gxM79+/b549e9Y8ffq0s/XhuNvb2+bLly/No0ePRkm9evWqef36dWcZ4Zjwdchw9/nz5+bm5qb5/v37qPY5mAABAgQILCkggC2prSwCBE5SIASlFy9e7LTt5cuXzbt373a+F0LKjx8/dr734cOHycEmBo6+a8TjhuCX6t1XTnr9trqMqUNbPYcEqzDLV2rDkLaH/jk/P/+n3/rOjeG267ipdeor288JECBA4PgEBLDj6zM1JkBgRQLhA3/4ymeW7u7umo8fPz7MCIUP6ff39zszRDGUvH37trm8vCy2Koa7/AN8PLdvRisNPl0hIIaIvgBVaufV1VUTzvv169eoGajYtjRYhXqcnZ21egTXUN7Ur5J1GoxrB6Wh/TS1Pc4jQIAAgeMTEMCOr8/UmACBlQiMeaYqhI3S0r/44T8NIaUZtSFNzsNFPnNVqm9aVt8MU7je169fH0JkDENpuV1LEfeZBYt1i2X21bXkFer2/Pnzh3CXhqNwfJjFrB3A9pmRG9LnjiFAgACB4xMQwI6vz9SYAIEVCOzzTFVa/dIMSQxFpdmt8IG+NEuVh4u2a8TAF64RZujCksgpoaNr9q4tmIZzfv78+bDEb8gMWB64SgGsZFJqf26U9kPbTOM+Qy2OkSlhcZ9ynUuAAAEC6xYQwNbdP2pHgMBKBWrNbJSCXI0A1sWWLrnrWv4YrlEKLWmIa9v8o7Q0s8YM2JDnrfqGTCkQ1Q5g8Xp9vn119XMCBAgQOD0BAez0+lSLCBCYWaC09G5qkTGozLEEMdYpf24qznjl3y+FhXyJYhqs8o1HUoNwrbBcMcyw5TN56YxVvqxxiuPQGbCua9cOYGa/pvSkcwgQILANAQFsG/2slQQIVBTo2xVwaFFxJikPPjVmwGJQCnVp25ExfR4qHJfPUKVLHUubiKTt7Frelx8Xt7QfMyM290xSzQBm9mvob4DjCBAgsE0BAWyb/a7VBAjsIVAjgMWAVApHNQJYX/OGBqa+68SfD7leaHMMUunsW1e4atsVsbSlf1dd+55zqxnAaj0fONTecQQIECBwXAIC2HH1l9oSILACgRge+t6/VapqOuvTFjxq7YI4dcv2rrAytm7RKH1hdLpF/5Bnutq2js9n8NqGRigjfOXvZUuPrxnAaj0fuIKhrgoECBAgMIOAADYDqksSIHDaAlM/rKdho+v9XWucAUtnr0q9O2QGLJyXt63vvV9dM2B5AGvbon7JAFZjdvS0f3u0jgABAgQEMGOAAAECEwRK7+/qukz8YH5xcbHzMuaxRbdtQ993nTzIpIEp1q1tu/QhW7qn1wtB6Nu3b8UZpzzI1ZwBS2cX85c7LzUDNnZc9PWbnxMgQIDA6QkIYKfXp1pEgMACAmNnwUq7HZaqmW6eMbUZ+dLIeM30+2lgCm25vr7+s2NhKSDmAS3ONKWzePn1wg6JbfXIlxSGc8/PzzuXCOYWpRm3uPTv9va2aQtgbQF2bH+W+qbGNab2ufMIECBA4HgEBLDj6Ss1JUBgZQLpM1b57FG6vXrNXfHGzIDF4DR0F8TAW9ocJF/CVwpMeSDKlwPGGbjwIuazs7Pm8vKyGfqM2pAdEOPM2uPHj5urq6udABaHTdfSzhrhqebrCVY21FWHAAECBCoKCGAVMV2KAIFtCpSW0aWhYUjQ6NulL8oODWClWaq0d7qe6cpnvNJj25Yrtr2wOZ/ZSoPY/f39n+WYpWvG+ne5lAJwV7u7llrWCGDx+l3P923zN0SrCRAgQCAVEMCMBwIECByRwNAAVmpSvnV72zNf6bn5jo9tm22Uvl96Fqxr042+d5eFeqVtaAtnXc+VTdm58oiGh6oSIECAwBEICGBH0EmqSIAAgbEzYLXEYphpC2tpaBoS6GIAC/W7ubnZqWY6c1R6Fk54qtWrrkOAAAEChxQQwA6pr2wCBAgQIECAAAECBDYlIIBtqrs1lgABAgQIECBAgACBQwoIYIfUVzYBAgQIrFqgbwOVoZunrLqRKkeAAAECiwoIYItyK4wAAQIECBAgQIAAgS0LCGBb7n1tJ0CAAAECBAgQIEBgUQEBbFFuhREgQIAAAQIECBAgsGUBAWzLva/tBAgQIECAAAECBAgsKiCALcqtMAIECBAgQIAAAQIEtiwggG2597WdAAECBAgQIECAAIFFBQSwRbkVRoAAAQIECBAgQIDAlgUEsC33vrYTIECAAAECBAgQILCogAC2KLfCCBAgQIAAAQIECBDYsoAAtuXe13YCBAgQIECAAAECBBYVEMAW5VYYAQIECBAgQIAAAQJbFhDAttz72k6AAAECBAgQIECAwKICAtii3AojQIAAAQIECBAgQGDLAgLYlntf2wkQIECAAAECBAgQWFRAAFuUW2EECBAgQIAAAQIECGxZQADbcu9rOwECBAgQIECAAAECiwoIYItyK4wAAQIECBAgQIAAgS0LCGBb7n1tJ0CAAAECBAgQIEBgUYGHALZoqQojQIAAAQIECBAgQIDARgX+A+ujfLlPq2wNAAAAAElFTkSuQmCCAA==

kamire 发表于 2023-7-7 09:01:48

如果数据是真实的,那么,不要急着去玩数学游戏。先搞清楚你手上这些数据的意义,再进行有效的分析

ckk594 发表于 2023-7-7 07:47:50

那要转换数据试下
非正态就说你实际过程就是这个能力,要么是你数据取样有问题

njkiller 发表于 2023-7-7 08:50:44

可以进行数据转换,Minitab里面有这个功能

sunnyjiang 发表于 2023-7-7 15:35:15

非正态的原因需要调查清楚,不到万不得已才去转化。
其实转化后的东西我一直都怀疑这个DD .....

469905490 发表于 2023-7-7 15:58:00

minitab确实有转化功能,个人觉得数据很集中的话,也是一致性好的表现

Taomin 发表于 2023-7-8 10:11:58

kamire 发表于 2023-7-7 09:01
如果数据是真实的,那么,不要急着去玩数学游戏。先搞清楚你手上这些数据的意义,再进行有效的分析 ...

认同

sony1125 发表于 2023-7-10 10:03:28

原因我找到了,是现场收集数据的测试仪器分辨率不足。

flyerchang 发表于 2023-7-10 19:34:44

与你的制程能力有关

质量没意思 发表于 2024-1-15 00:06:41

猜测与样本量有关系,另一个帖子也是你发的吧
页: [1] 2
查看完整版本: 现场收集的数据是非正态的,如何处理?