{
"cells": [
{
"cell_type": "markdown",
"id": "01d1b9dc",
"metadata": {},
"source": [
"# latex4\n",
"Draw the Greek letters as a table and save the result as GIF, PS, PDF\n",
"and SVG files.\n",
"Lowercase Greek letters are obtained by adding a # to the name of the letter.\n",
"For an uppercase Greek letter, just capitalize the first letter of the\n",
"command name. Some letter have two representations. The name of the\n",
"second one (the \"variation\") starts with \"var\".\n",
"\n",
"### png output:\n",
"\n",
"### pdf output:\n",
"\n",
"### svg output:\n",
"\n",
"\n",
"\n",
"**Author:** Rene Brun \n",
"This notebook tutorial was automatically generated with ROOTBOOK-izer from the macro found in the ROOT repository on Tuesday, March 19, 2024 at 07:09 PM."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "3d26798f",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2024-03-19T19:10:01.941092Z",
"iopub.status.busy": "2024-03-19T19:10:01.940712Z",
"iopub.status.idle": "2024-03-19T19:10:03.195094Z",
"shell.execute_reply": "2024-03-19T19:10:03.193945Z"
}
},
"outputs": [],
"source": [
"auto c1 = new TCanvas(\"greek\",\"greek\",600,700);\n",
"\n",
"TLatex l;\n",
"l.SetTextSize(0.03);"
]
},
{
"cell_type": "markdown",
"id": "ccc57316",
"metadata": {},
"source": [
"Draw the columns titles"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "2cebff6d",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2024-03-19T19:10:03.201726Z",
"iopub.status.busy": "2024-03-19T19:10:03.201356Z",
"iopub.status.idle": "2024-03-19T19:10:03.419536Z",
"shell.execute_reply": "2024-03-19T19:10:03.418402Z"
}
},
"outputs": [],
"source": [
"l.SetTextAlign(22);\n",
"l.DrawLatex(0.165, 0.95, \"Lower case\");\n",
"l.DrawLatex(0.495, 0.95, \"Upper case\");\n",
"l.DrawLatex(0.825, 0.95, \"Variations\");"
]
},
{
"cell_type": "markdown",
"id": "14bb367c",
"metadata": {},
"source": [
"Draw the lower case letters"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "2d3a787e",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2024-03-19T19:10:03.448241Z",
"iopub.status.busy": "2024-03-19T19:10:03.447618Z",
"iopub.status.idle": "2024-03-19T19:10:03.695472Z",
"shell.execute_reply": "2024-03-19T19:10:03.683523Z"
}
},
"outputs": [],
"source": [
"l.SetTextAlign(12);\n",
"float y, x1, x2;\n",
"y = 0.90; x1 = 0.07; x2 = x1+0.2;\n",
" l.DrawLatex(x1, y, \"alpha : \") ; l.DrawLatex(x2, y, \"#alpha\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"beta : \") ; l.DrawLatex(x2, y, \"#beta\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"gamma : \") ; l.DrawLatex(x2, y, \"#gamma\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"delta : \") ; l.DrawLatex(x2, y, \"#delta\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"epsilon : \") ; l.DrawLatex(x2, y, \"#epsilon\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"zeta : \") ; l.DrawLatex(x2, y, \"#zeta\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"eta : \") ; l.DrawLatex(x2, y, \"#eta\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"theta : \") ; l.DrawLatex(x2, y, \"#theta\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"iota : \") ; l.DrawLatex(x2, y, \"#iota\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"kappa : \") ; l.DrawLatex(x2, y, \"#kappa\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"lambda : \") ; l.DrawLatex(x2, y, \"#lambda\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"mu : \") ; l.DrawLatex(x2, y, \"#mu\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"nu : \") ; l.DrawLatex(x2, y, \"#nu\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"xi : \") ; l.DrawLatex(x2, y, \"#xi\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"omicron : \") ; l.DrawLatex(x2, y, \"#omicron\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"pi : \") ; l.DrawLatex(x2, y, \"#pi\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"rho : \") ; l.DrawLatex(x2, y, \"#rho\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"sigma : \") ; l.DrawLatex(x2, y, \"#sigma\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"tau : \") ; l.DrawLatex(x2, y, \"#tau\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"upsilon : \") ; l.DrawLatex(x2, y, \"#upsilon\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"phi : \") ; l.DrawLatex(x2, y, \"#phi\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"chi : \") ; l.DrawLatex(x2, y, \"#chi\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"psi : \") ; l.DrawLatex(x2, y, \"#psi\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"omega : \") ; l.DrawLatex(x2, y, \"#omega\");"
]
},
{
"cell_type": "markdown",
"id": "53ae78fc",
"metadata": {},
"source": [
"Draw the upper case letters"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "8ad82e1a",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2024-03-19T19:10:03.723161Z",
"iopub.status.busy": "2024-03-19T19:10:03.722739Z",
"iopub.status.idle": "2024-03-19T19:10:03.961278Z",
"shell.execute_reply": "2024-03-19T19:10:03.950579Z"
}
},
"outputs": [],
"source": [
"y = 0.90; x1 = 0.40; x2 = x1+0.2;\n",
" l.DrawLatex(x1, y, \"Alpha : \") ; l.DrawLatex(x2, y, \"#Alpha\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"Beta : \") ; l.DrawLatex(x2, y, \"#Beta\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"Gamma : \") ; l.DrawLatex(x2, y, \"#Gamma\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"Delta : \") ; l.DrawLatex(x2, y, \"#Delta\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"Epsilon : \") ; l.DrawLatex(x2, y, \"#Epsilon\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"Zeta : \") ; l.DrawLatex(x2, y, \"#Zeta\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"Eta : \") ; l.DrawLatex(x2, y, \"#Eta\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"Theta : \") ; l.DrawLatex(x2, y, \"#Theta\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"Iota : \") ; l.DrawLatex(x2, y, \"#Iota\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"Kappa : \") ; l.DrawLatex(x2, y, \"#Kappa\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"Lambda : \") ; l.DrawLatex(x2, y, \"#Lambda\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"Mu : \") ; l.DrawLatex(x2, y, \"#Mu\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"Nu : \") ; l.DrawLatex(x2, y, \"#Nu\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"Xi : \") ; l.DrawLatex(x2, y, \"#Xi\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"Omicron : \") ; l.DrawLatex(x2, y, \"#Omicron\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"Pi : \") ; l.DrawLatex(x2, y, \"#Pi\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"Rho : \") ; l.DrawLatex(x2, y, \"#Rho\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"Sigma : \") ; l.DrawLatex(x2, y, \"#Sigma\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"Tau : \") ; l.DrawLatex(x2, y, \"#Tau\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"Upsilon : \") ; l.DrawLatex(x2, y, \"#Upsilon\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"Phi : \") ; l.DrawLatex(x2, y, \"#Phi\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"Chi : \") ; l.DrawLatex(x2, y, \"#Chi\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"Psi : \") ; l.DrawLatex(x2, y, \"#Psi\");\n",
"y -= 0.0375 ; l.DrawLatex(x1, y, \"Omega : \") ; l.DrawLatex(x2, y, \"#Omega\");"
]
},
{
"cell_type": "markdown",
"id": "42850e33",
"metadata": {},
"source": [
"Draw the variations"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "247201f9",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2024-03-19T19:10:03.980961Z",
"iopub.status.busy": "2024-03-19T19:10:03.980468Z",
"iopub.status.idle": "2024-03-19T19:10:04.188239Z",
"shell.execute_reply": "2024-03-19T19:10:04.187191Z"
}
},
"outputs": [],
"source": [
"x1 = 0.73; x2 = x1+0.2;\n",
"y = 0.7500 ; l.DrawLatex(x1, y, \"varepsilon : \") ; l.DrawLatex(x2, y, \"#varepsilon\");\n",
"y = 0.6375 ; l.DrawLatex(x1, y, \"vartheta : \") ; l.DrawLatex(x2, y, \"#vartheta\");\n",
"y = 0.2625 ; l.DrawLatex(x1, y, \"varsigma : \") ; l.DrawLatex(x2, y, \"#varsigma\");\n",
"y = 0.1875 ; l.DrawLatex(x1, y, \"varUpsilon : \") ; l.DrawLatex(x2, y, \"#varUpsilon\");\n",
"y = 0.1500 ; l.DrawLatex(x1, y, \"varphi : \") ; l.DrawLatex(x2, y, \"#varphi\");\n",
"y = 0.0375 ; l.DrawLatex(x1, y, \"varomega : \") ; l.DrawLatex(x2, y, \"#varomega\");"
]
},
{
"cell_type": "markdown",
"id": "c63634ff",
"metadata": {},
"source": [
"Save the picture in various formats"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "209f2daf",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2024-03-19T19:10:04.203775Z",
"iopub.status.busy": "2024-03-19T19:10:04.203388Z",
"iopub.status.idle": "2024-03-19T19:10:04.857125Z",
"shell.execute_reply": "2024-03-19T19:10:04.855600Z"
}
},
"outputs": [
{
"data": {
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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Info in : ps file greek.ps has been created\n",
"Info in : png file greek.png has been created\n",
"Info in : pdf file greek.pdf has been created\n",
"Info in : SVG file greek.svg has been created\n"
]
}
],
"source": [
"c1->Print(\"greek.ps\");\n",
"c1->Print(\"greek.png\");\n",
"c1->Print(\"greek.pdf\");\n",
"c1->Print(\"greek.svg\");"
]
},
{
"cell_type": "markdown",
"id": "23201afc",
"metadata": {},
"source": [
"Draw all canvases "
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "6fe25370",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2024-03-19T19:10:04.870003Z",
"iopub.status.busy": "2024-03-19T19:10:04.869581Z",
"iopub.status.idle": "2024-03-19T19:10:05.078598Z",
"shell.execute_reply": "2024-03-19T19:10:05.076106Z"
}
},
"outputs": [
{
"data": {
"image/png": 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b80Y9VKruuzJpF3pUfdGeybQvPb2pvPfQDho6Dr+nXfe31tHyw82Vb/lJmTJNUzQcX4UQZNj6CRsj/8gQ+RDCwcrTNE3TdJdvO4h7be1v6emzu6kDEe1q+t0PaejvvU/24YG9ngnv/cHHASii/Pf8vPd2BKYtQbQUCyHI/Sr5/0tboplYPmWvp+u+pA+5etqpqN8ctUv7vpdwkgbZCRtzZtc9gBeVT35d13nvpR0qXzy3i7SJ6r13zsn/XdfZ/58+tP9HD8dxtA91S7Zt00XZuv/BIpSi1SN7XrLnSL4Ff0K1Rj5iGAb5xOOq241+OQG4u/LJT3qE9FdXpJpMUsEbnHPStAoh9A/ZfDNN0ziOp/VDvtJ175yTvvRzNukvyNCoQPnkJ7X1ZVn0pohUkwtvVo3mea6+2PLeR99DkHEZ+jAanPnt4Zcnd92fQAdFVzxyGC3oT7jt8Qq9iricAADfdpXkBwDAacp3ewIAcDKSHwCgOSQ/AEBzSH4AgOaQ/AAAzSH5AQCaQ/IDADSH5AcAaA7JDwDQHJIfAKA5JD8AQHMul/xkSr9Xft56HEdmPnqdzCcnk9SX3pZvkX1UzrnXfyf99cADUIPtYmTOl2EYjlfTiWnsq2TyGqTWdZWDEx23yuwFuUzafiwKPJnq6JUXNo6LDjd1uZbfX1Q/Wd1fyMGR6ek1BVZpGIZ1XSXfyzNvzBArU+4RUcecczL7NHA7l0h+0uO01+mkfVl7XVLeeymkQgi6jr7ncV+Wf/jbHlydHIe+7zUFFt6gL9Pzvj2agzYGnkaUjSKNjV9F1F934CYk87Wzv6hK6abnFs27LaLep3SDbfddtM6207LJfrq89mkvax3ksFS8s1HwiOgU70Wa7fZMV0ijdO8wytIWOgPneX7xJgVwQeVbflJ5zBYxzjnpfZJbL1KKpa0W731UcknFXB5qImy8fiqjP+Z5DiFU3/JLSSDJjtvAsL0FajM5TMJGolRSmgSbvGHLvPfOuWEYOBS4o39lP972KXVd55zz3uu1JE9KzpNOpxDCK1eaFGevFPGNZES5N6Nl+rIscjyLbtRJJGzkf02BGlohhFdiQDKlvvDAtj/upiYaP865aZp+NbAWuIQCrU0j7TbZ632Ktjk72tO+T9pf2vLIve5nR1xXab+cnOiDbs+DiIpCSJ7Xo7Su614PfJvsQeZo4I4Kt/yEbczZmrVUzIdh+G2lsu97ebl+ue0zG3pP2cZKI03e7meHp5jn+betXhkvqqH4xvDRmkTdBvM8N9WXgDoUvuenV4uWxdleTR1l96uhdJL5jtdvZLRnqpFySnczqj/pLyS8cuqjAZ+vRNRvt/Neok5O+Z9uT9xM6aZnpn+yS3qfhmHQ1aJhLLKajpSRfir7Pvp/ttuzkdGe9ljJoSu7PV+yF+S29zKNKAmM7JfcjyPqYBuq7FUW+oMJlhyWEpsDvOkS8WoLlCgbRV9aSEsxfRNbJNlXzfN8kOEaSX7bz2pE6W35ljTtyRfe7TrRiGJdGiU/myajV+mibIarPvlla6vV7zXq029tDE4DAECV/54fAAAnI/kBAJpD8gMANIfkBwBoDskPANAckh8AoDkkPwBAc0h+AIDmkPwAAM0h+QEAmlNh8vPe932v0xjpdBBFNwpnkHk8Un+ccMA51/e9ThChM0IARVDEfcQl5vP7qldmfkcdvPcnnG4iCpdCQL6nwuQ3jmM0FwRa89kAoKmHS6GI+4hLdHvKHKFp95QWOtKdlXZeaTeXXeS9d84ddALYzjG7mk5+u7c90TbTz3BNwzCkPZ/dI8zknGbPr573tyMqG8Dy8qd9U3eJKDlK0g+sbLdwHdIyJzqDe8WILbX05RRxx8pEfuk5leL51brHFGt7VRt9YbooeqFdTadtS1+lk5BlJyrbm6IsettbkGlIVenN+bzj2RnTSLNxko237Nu+GIfZRXsxk85PeXHRcV7XtbJ5IjVa9Bl7+vZOq50GsstNBpldORt1r3xKumHZV125iJODkx7tExRu+Xnvl2XpHodYzs00TdFq67rq+daKkjyU3ZAXPh3XoCvYybtlA6x5nuVizi69qb7v/zju4y5CCP1PUb1SZrjViJLDIn+jDPf0iGlz5/UArvIsaAumGrbRZh/atpQ96dFpDSEMwyDtM4q4PXJw1nV1zslFd2oT8Kwsm6cJf32wD/X/aGX7v5xF+54H1SJ9ia5sn9mbRP6bB+Ak3d0aqe/Zm2TcFgT2hNozrq9NI+qg5ReF6HYYb0Wqt1/SJS2/YpvyNXLebeGgp1L3V1OInNaDUosiLiUbUCp4yrf85J/pIV1nNEPM9Umt4CzLMk3Tr2452DXT4rKyCqzlfyq9Od+S9r/tnVN5XgbLpRH1ehPtOGYqjihVZXNWdkoaRlGQ6JcNpmnKDrbUk04Rd2Acx3mep2mSm5Enf3rh0Z7jOGr/QPS8Bo3cm01fu22b3PiV4AshHA8oUPYNWxglHPXbRM9DSodxHKOIklKvymL9I+SK6+q9iNIEJpxzEhvzPEuZc9BzSBF3bFkWHaF28kdfYrSnnFQdm5SGmv1HiypdeXt0ETw9zVEft37QG8f9Ro2n8THWsZGW31O2Tt09jo9efhJREiovHiWNH3tn6LdbdbuTMgxDdAHWx96i032U0yT5bBzHV+6ZUcRl6RVX5p7xqZ2sOboltnm+7Q+Fiu7fDMOgL5T+rheHQkWv2nLd+geHKHrbi5vnubLBeFl79/y6nzdRspeAjQd7/287vOdnozR61ZYEycE9v+J3X36r2x9VWxN7fvVJW/hEgZQ9j2mEdBRx27Y99tF+xJmj0C9xsdmYSG/G2jIrOkw2Yvbu4kYvjALOXsBXi4zPSov+0lv0eS8mv72Iil4eDRDf+6pDFFHpWIN2kl+V35/JXi82r9hzt3ceKeL26MUlvvpZkX7b+TZScd576W247BbiXvRWDRH1d33fS7enPiO9ZNwifR1FnNq76/lVFf68GYDv0QynA166x72ovX484FiRAagkPwC/8OKAQ+Dirpv85CsgpbcC9bjO15uAjiKutOve8wMA4Esu8T0/AADORPIDADSH5AcAaA7JDwDQHJIfAKA5JD8AQHNIfgCA5pD8AADNIfm1ws45x2+dAGjcdX/eDB9k57QMIfCjSgAad8vkJyX4uq60YF4kEyX3fT/Pc60tv4P5dPghZgCRWyY/mT+lyBRQt1Z3dcF7L4GRXXS8433fd7Ufn8+S+fzsM9KjwHx+uIvCP2ydra1r00SXjuOoq+mUpMMwpGtGK6cf17X66/7Vz0ST7p3MFNq9MFkoye9X0nlr5QDyK/m4kzOnjU9lbz6t65pdJM/bZ2Ta+3RNeT4lS+d5Pmn3LmOeZzl67dCosDs+z/MwDMMw2BjQNYdh0JV1Tftkal3X1g7stm3RLksTsMHLCrdWOPltj+LDzgEtT9qSSztY5CVRDrMPtSDLflazyW+vNlArjR+741E3XRRONjbSNbMxE0Vpm+QgtBZgqED5rzrIWAzts5JryXZh2Q6WbMed5E7n3NNuPdlnbktUTzs8NSScc3JH0FanpJNze+Q/jaJ0TelpR0oOdd096qjSJQa86G28eZ71Hp4s0lLs6TvsDXZA9xgi1Ai5/9T9vAUlESWZTMa/hBCyh2UcR6mBPb1LOo7j1vZdLrla+eYMbqlQi/N/tO8ovQ0jt1ssWRqtLw915Yvs16V0zXTNaY9ltL/H8R+9JFuan7sfN0CHJ26tfMtP2nYydDNaFEKwv0vS5QZqat1c/jnu0mx2tOc8z9M0aV+fKL1Rn6c9ltqFoIZhCCFkwyx9E9sPoQ8RocMT91Y296YjC7pHk04f2nWiVz1dM2Jf1ZroUJfenM/LDnJRsvt20TzPUedBNMzYvnDviLU52nN7HJZo39s8FLip8gNe9myPC0zq8lJsyaJo/IuWVvKzL9E6EN57PetVfhlZmyAhhP4n+V5a9+hLkB+7WZYlarVEY6ZktYPbpd77aZqmaWqt9SMt7GEYouZ1fUGFmpXKuiioyq/9HQy7kJ21X6fpcveYu+SrDnIj2b6J1exXHfTgWB33/3ArhX/hBWfSUbUdP8YBoG3lB7zgNPYn4kpuBwCURssPANCc6w54AQDgS0h+AIDmkPwAAM0h+QEAmkPyAwA0h+QHAGgOyQ8A0BySHwCgOSQ/AEBzSH4AgOZcOvnJnDKtzRfzcd57mdmnexzSvu+r/HlP59yYU+XOAviTwrNKHJItbHPu2Q+SCYw6M+OMTEBTdKO+Ijs3st1xedjaDEQfZ6d8kmfmedZZjTi8uIVLzOrgvZe6ua2k2xlrvfcybaauGa2cvqGs8K0tvpX0kI7jeDBHawWiqfvwWdKX0JkJhJ1zzrkQgjS+C24b8KrS2TczB6nUHO0zUsFM19ybPFOW0mS0OtPikSNZdHO+4nhKVY0f2zqRJos4aLKs60qDxkqPsxxejhLuovA9P++9TK8q14wUXtM0dWa21XmepYIpa0pKkyut7uYLPksn8g0haN/AsizhYZqmbF+C936apmmauP0MVKN88rP/267OdGWpfTvnnpZBktgZ5tCmEEL/kwTMZu75SRRJ5clWvDRBAqhb4Xt+msaktfeU3Ff44gahGeM4yq3BcRyPq1PjOG7M+ZwIIdjbe1yYuJfCyU9GXgzDELXSsvfMJUHqyi/mS7RmGIYX+ye11x1viI6zc46DiRu5xGhPW4XUYZ/ROnqZyT/HXZqM9kzRdolo5pvnWRp/lN1AOwrf89Mc1ve9fP96WRYtg/Q2jB0/LWsel1MyPIF7fjhgh+k/7fmU79t8f6MAnKT8L7zoWAO5ZyDjp2VRNP5Fh6qHEPSLXGS4N9TdJk4HvMiX0lQ0ZkpqXQe3rBjtmcVNPtzb6V+uwCVU+Usce7/wonGu9Sf5woz9pRKtTqWH5WBRg9Z1zf7Cix5qjhJuod+4FQQAaEz5bk8AAE5G8gMANIfkBwBoDskPANAckh8AoDkkPwBAc0h+AIDmkPwAAM0h+QEAmkPyAwA0h+QHAGgOyQ8A0BySHwCgOZeYyd2SudbGcWSivs/y3kfzI1YmmqXPknCSWQyr3PcibESFEOZ55pp9BUVcll6/512hpedU+m8mMJlfbXtMsabzhL39PrBkRjr5fxiGNw7v9R0EuUTFewGvk/l9fovvTK5T+8x7l20LKOJeIftlS6pvK9/t+ak8T43+wDRNOgGpcy6EUN/hWh/sjLXyTN0z159PQkirBWJd1xACrZkURdwrZO9O7Z45J8fusRNA28m1ZWZtaaNENR193s5Fnr5PtOZBdUkLzS/s31V0PyuMXb31x22/raZPzvOcbf7q8/bgaKXBPqlr2iDMbkmVcbVXdKTNwfuSUxxFQlTmZGNAQ2t+oIg7Jhsmx2rbtuN9+aDCkZpmYi1rLD0WNgKEHLj0fdI19y7LtGirjCSDKPlV3EN1nPz2QiK7KG3cZNfMFisagd/b0yLkmEj8aBRpcb93NG4nPX2vxIAGjGa4NKgo4izbCWzrEyd8dPkrM+oBtxVtqdfYk2rPYhSd0fvYNY9v21w5Mj4iKsH14iy9Xd/yNPnZrlEpWWzw6MuzwXPwwkgLyS9bHFdzKdkTbc+mhsRB8HSPtt1GEbfPHh995rStLX/PT6R3ZWR4nr2FoB3B4zjKcKnoefs+0syXl+sK2a5kORDV36uw9fHS21KS3AKMBr6GELpHXHWPCns2WpxzciRlZXlhlnOu+qMdle+imjusNgzkr2SjcRxtDMjKUSSs62rLqI4iLkf3ReNnHMdsi/YbLvdVB5HtGdDzOk1T9Hz2epPb8p/fuLvRe8jVlEp/cXAQlmVZlkUf7gWP9z6KwKbIAZSDE5W5dsxCBZxz0zQty6Ilia0zHcfA04NAEadCCNHRGIbhhFR90eR3LOrHy4aFRI8cxHEc+74/Z9suK6oSXrAaWNw8z0/LLOecJEhZuY7S57eGYcjudVqK3Vq24dUlMeC9t3Wmj2itiLM7aM+HdpYAACAASURBVL8/+lVXSX6vjG0dx1GCTI+UHKPowHVJhfT4UNquhpe392bmedbrMz1oUNpK3qtra7+oHMbjzFdZS0h57/u+7/vedupG/W91kDQvaUa746IYeLEbgCJuzzAMdndCCCdt57dvKj41/BxKHt3UjW7k2uMV7UL0Ptk1s+PQ7KsqpkO3r3DSv+rpVx3sw2i8gIw0i0JCF20mzGxcNTXgRckRkBHqp43QO5ltgemTemajZu62E3sUcU/ZQDrvQ0/7pD1ReB1Hxvbz1ro9UtH72LumxyOIrh8Z+JU3kt+WDBzPftUvGnSulYn0s7YGkp+48hfIPiLKQMLWgWy8ZWOPIu6afnRcAADQgqt81QEAgNOQ/AAAzSH5AQCaQ/IDADSH5AcAaA7JDwDQHJIfAKA5JD8AQHNIfgCA5pD8AADNIfkBAJpD8gMANKd88pOJwSqbBgxFjOMok4uW3hAAV1c++b1OptC85nyMuIIQQgjhleRHLL1NpvmVOus5M24D31A++cl8YK8UQ1KoHc+djZRzToqq0htyIcTS27RtrVOZA3dUPvk555xztrbunBsf7PT2+r9eclIJFQfXoX/4wubfgHMumnK6HcQSgLzSs+n+N5WuTgadbqFMQBxNtL39nNf4eHe06D9pl65HjkDprfg6GzAbsfRN3c9JxoHbKd/ys7TGLblQCqllWWSRllnbtunKegXKIqrkEMQSgAPXSn5SNs3zLLcAtfzKdkN579d1lRLK9mhl17SFGlpALAE4cK3kJ+zgl+ObVTqUY5qmr28WbohYApB1xeRnHYzHG8dRlsqNnBM36sZa7sojlgCoayU/qZtr1VtL6uwXIbS0ejremhF6coia+lobsQTgwL/SG/CDfPW467q+74dhkCJpGIaowLLD1pdl8d4ff2HLOScrNFupH8extX0nlgAcuFbLr+s6HXSulfH0K1myyK45z7PU9KmSQxFL3yBfiOy6LoTAl9xxXz0VWABAay7X8gMA4NtIfgCA5pD8AADNIfkBAJpD8gMANIfkBwBoDskPANAckh8AoDkkPwBAc0h+AIDmlE9+4zg2NdsAvsc5N45j9IOTEmD8CiUAq/xve8pP76/rSgrEH0ksDcOgv0ktz3RMwgDgp/ItP+BLtDpF5gMQuVzyk04qO/XM+KBPyqQqUrSlnVqy1Dmnq0VdXvr8cW8Y05bemk7OHmW+vbOvXabZsJGl3nsNyCgwsoGaqiCi5Pj0fd/3vRwifYbuZdzJVppsxrqu+v88z3aRJavp7GvZfZnnOV00DMPB0oMN0425r3VdZYI6fUYe6jGphp5r2UENGJWNHFmkL8mGTTbeNDbS12bDRj892qo7ii4cmQSx3OYAv3ah5BeVyFFJYZfqomEY1nXVh1LiaHqTlfVhml/1hQcbVkHy2x57Kv/LQZvnuY5ds55moGwU2QBLo8iGjTzUWJVDuvc+6eZVlvzspUrmw+1cJfkpu0jLiL3iRtfUoir6X0RFnr5tVMDVTWsYFe9sl0h31gaVzXZp0rJL5X9bxNv316CKArVi9oIi8+GOLnfPz/Ley62FaZrk/s2e45Gi0VLnnLztsiyf2MzbmKape3as6qBJSHbZ0rOfLuq6znZgyv/2Fl166GSp936aplcCtTJyE/TudzHRpqskPy10tHxxzklymudZuukOXn58+dmlUjxpA+hPG303wzCEEKofkjAMgx11YjOWjoKx7bljT+tV3vvXA7UmIYTWkj2qUrbhuZnuo4ObfJspp7akw2r72SuVdmbale1eH9+DWR++s99nk72Wo1rNTkVsGGz7cZINjGiMTBQb0fVy0M1+3O1ZTUTpwblIMQL8VvmoTRNeVKZEQ+m2t0Z76lJ9aN82Wx5F5ebdRUegjiI4omdWn9kbt2LPfpT8jsPGiipbaaBGqhzwQv7DTV2l21PYr/c556Q00V7KdH2b56IV7Hj3znzZS18SQtCXNHXTQo7ANE3V9392XadRJHf49IyHEGR0fvfz7NuwkcLdvpuNN/0dmb1AbSSoxnGUw9LCvWRUpXDyfctxZVMuRUag4VeOv/so8VZNN8DfRceq1m+OomLXavkBuDj5PZeu63TwlLZxQwh93zfS5MXd/Su9AQDuJP39tuNfdAOu6ZbJT28z7C3tuAOBX9Jf9cwu5bYWUJnyUxoBAHAy7vkBAJpD8gMANIfkBwBoDskPANAckh8AoDkkPwBAc0h+AIDmkPwAAM0h+QEAmkPyAwA0p3zyG8fxsz+MK7/Q+PpkdbIBn/r0a/Le931f/QR+zrlfnfo3/CpaZHv40WfgikrPqfT5icV/NZ9fI/NQd4+fZi69Id/17VnlfhstsnLdswDWvXeoWPmWH06wrqtzbp7n6ht/ONmyLKU3AXjH5ZKfdFoKW1JrD5KuIL1J8ny2c0nXTEv8g/4xfcPjDjTZkjd2sAjpqZNZewpvSlH25Oqh0H7yKGAO4qd79H/uhdZxQL4SWrc4U0wfhhsr3fT80e2p3UrpFkqP1jF5k+xUf7Yr7OA4pJ+y14dmP/FGrnDGv+e42/O3AWMfSudeNj7tIc1G6cFr39iLSxmGQba29IYAv3atlp9Uh+Wy18IiqgKv62rLEfswWlPeR4q2EIIs1Vpq9D4ihNA9Sit94Sf27BJarqFrS0sSnhTZUfNrGIZ1XWVRCGGeZ32Ydu7Z+NGGtUSLLIoS4SuxfS+2+4TudNxPqayrZDO05adtKS0gbGml1eHsQ5u0uqQ+Livb90xX1g1Y1zV9n7uT3al4hMJxmykNLVs90hN98DCKyWhp+un2gB/E9k3pnlZ2maAR12r5SUWy7/u+76dpyq5w8PDgbfeeSRdN0ySfXtmdfKmbr+t669bGX8j3PfZC61ey8SPNvr2YfBrb9yL3L+V/qQE0G1e4qWslv77vQwjS+7Tt3Jx7w4uXpfdeSiXZgL0bPDe1LMs8z+M41tSR+zrnnNRmbGfm27IRdfyeX4rtUpxz2tVJzyfu6FrJT3zqq8H6DmmVXP+3V2w6/O/4zW9U1c0WTzfa/r+TnR2GQaLrjzWAqNwXElTaYXAwlvj4yN9otKcahqHNShXu64rJb5qmcRz/3jUkHZh938tDKYx0GIssslesZsS+75+Wj9M0TdN0lxJqWRZtl0j7z3tfa1VdT66y1aBxHDUk/v4ROsKlM9lOFmW7zV+JbefcNE1XPju22afPdG2PqMLtXCv5aU+jjLXLDsl7ne2G0o4m+a63Pm//H8dRXxJCqGNIXvc4gLoXMijx4sXrx9n8NwzDH4fyRiFkhxBn1+k+HdsFSQdyNvmFEO64R2hTX8HtBwAAfuVaLT8AAE5A8gMANIfkBwBoDskPANAckh8AoDkkPwBAc0h+AIDmkPwAAM0h+QEAmkPyAwA0h+QHAGgOyQ8A0BySXxP6vtef25cJzYtuzreMD9E0jfr83SfoAPAp5ZOflErdY55PLba0wNI1o4lAj6ecvd10oPi78GDn0vPe6/OExN/JdWerUxFZytx+uLqttNc3Uv6f51ke6gRpB2+7ruspO3F16XErujnfkg1sO62jHgT8xcGld3xVAtdRvuWn1nW1839GD4FfsbPXRouiLoTOdD9k34f2YkSPVdr4k2dshQO4pqskv3VdbR9m9PCN0kdyO30vDUonSY/KYukItf3n0imafbdpmlqb9f4Vckht93L36BEts0HAL10l+QGfIuWvJDPJcJTI3yA9nLZa4JyjloC7uHHyozPqV7SSLsVT3b152tSTnf1L8pMuBMr0lBxVjSuafbiX+yU/LbKjLpd0tYoL9/fIGDw5LNM0VXx8pBSW/syOlt/XyF15qRnQ7MO93Cn5SXU+hND3/dNvqsmtmorL918ZhkFaMHJAqm/NaPLrGHzxTRJCy7LQ7MPt3Cn5ee+jYesFN+ZGtAHUDtsjdzCMU/45rgTQhXBMLkPGBOF2/pXegG5Lvp518DAqhg6ut+21bxC2oPGyO01+4zjK8M5Xfulmmqau6+Z5pnDPcs4tyxLVRFurbOGO7tTyw3uccw22krWTIE1+zjm6EN4mP48XQtDagK0Z6NGmFxQX19NCAgC0hpYfAKA5JD8AQHNIfgCA5pD8AADNIfkBAJpD8gMANIfkBwBoDskPANAckh8AoDkkPwBAc0h+AIDmkPwAAM0h+QEAmkPyQz3GcRzHMZp4zzmXPgmgceWTnxRY3nsppOR/WeS9l2d0ZVlnb3ZWJt1unExRuyyLDYNlWUIIBManyFXZ9306s3Tf9weXJ3AtW2nZrVrXddu2dV2jjZSH8zyn76NTkp614bchE7fKIRV7x/DusoEtD4dhKLddFcpea8Mw2DADrqx8y0+t66rZjk6qD5KaeGuHNLu/0mqxi6KuhWhl+hKO9X0fPcME7riLqyS/eZ6lGJJmyhucc5LPP7thdZjnOYRgn6k4F0oILcuSLvLeR12g0lOazXDOuWmaKj5QfzEMgxxnjg9u6irJTyuM1By/QUoo+eu91y7iKmkVinL5q7z3wzBEd1iBu7hK8sO3STnVdZ1zrvqsIMVxtvH3qzfZto2S/YAcnGmaSm8I8Gv3SH5yjR0XQ9yhOaaNv0ba1tK6bWRnC5L79OnNP+DiLp38tOSapqnv++MKpvd+miYqoXvkYC7LUn2zT8huRnc68XHjOFLPwB1dOvl1j3qlqPtO1QnmeW7qGNrgsTQjHtcD6Et4kXNuGAYZOlR6W4CXFf2iBfBJEtL2K4w6eFi+57eXDrPfTpPX8gXBrPSwUJ7gXq7e8gP+Imq3aR+d2MuFOCDflQwhRO3mjW8Z4VZ6QhYA0BpafgCA5pD8AADNIfkBAJpD8gMANIfkBwBoDskPANAckh8AoDkkPwBAc0h+AIDmkPwAAM0h+bWC2QkAQJH8mqBzrY3j2Mh8fgBw4NLJr+/7vu9psnyEc67v+xBCrZOOymwD4zjagJGZ62WXvfcSUaW2EMB1XDr54VMkH8gsVrUmP5lnJ4QwTZM+uSwLM6x+3DiOfaLWuEKtLj2lkRTZXFR/18iR9N5L5pvnWdp8kvk0yBs5Dt/W973OEqxCCFcuTIBYsWl0t23btnVdh2HQWaH1ocysbRelLxTnbGcF5Kjaw1slLZR1olq7s08j6pRtvL15nl98Eris8i0/uQczDIPcktH/ddG6rmlVXSr1uiaesvfD6j5o9q6ejRBtF2ZjXl4lTcYTNhJAWeXv+UkNPYSghU7dRXMRkvacc9776g+vtvk6Yumb7BDiktsBvOVf6Q3oxnEchiGEsCxL13XzPL/yKgq118kwyNJbcXXFu0BuJ4TA0FncV/mWX/czk9Hp9HGtJT872rOpHT+ZvTdfeluAX7tE8rMJjybdN7RTpdA9lS6EEAIR9SVaqeII447KD3jpzJiXaGD6wYAXvd6o2r9Cj3D3GPlS63Gz41a0U04i6njAC9+CeNHBgXLOtVPNwu0VG2f6oH0mWiTpYHR5mB2ALq/aG7aOiB0DcnBU787G0mb2Wkbh68Psa+2aOCYHajWknV1lUKFWhZOfDm+RyyZ6SPL7kmEY6ivlo1QnbDok+X3KZWvSwOsu0e2Jk9lfvASABl1iwAvOob/s3Nr4TwCI0PJri4xHYFQCgMaR/AAAzaHbEwDQHJIfAKA5JD8AQHNIfgCA5pD8AADNIfkBAJpD8gMANIfkBwBoDskPANCcepKf/mpl6Q1BefLL3X3fj+P4dkjoT6F+dNPqIb8QK/q+5zfzcC//Sm8ATlX9T1rrjLUihDBN0zAM1Io+axzHEIL9cUSpenKccRf1tPxkUs26S/a/GMfROSetmVor6Tbz2UlWQwhvBMY4jvImn93ICjjnQgjRkVnXNYRQa2ihQmWnE1TzPA/DEE2yuq6rPLltm12qz0fTlg7DYGe+zb6nPCnzUNv1deXsm+j6x9PASln59kH4HrvZUmZdczv/KBvVWkbrhMnRCbXPR2dfwy96Zi/25D31+WwE2vWzHxq5YFDtFR0ydfD52wO8oXykZmvWB4siWtbYAm7LTVUhz+sU8HZ9fai0tEoXdfszyEevvY4o212q3vNBUQxEz2stKntC7UN5h2jm9zQao9izs8ZvuQg8CM7sZqfbcAWySdlLQNrZV0vVQFb5bk/pp5JrSS/1qJNKqsZauNiHIYT0PbXvxXZb2Q4ZedU8z9IZKA+1BdB13bIs0d0LbSvsfehlyY7YQ5pNAHen5yvt4czur5xQ+T+EYB9m++7SQA0h2CAJIUgjz26DrV3Zm5G69PhD74jbfriHcnl323IVW/vMXtU7+1D+l7JG/rcdfdr1FFXPN9MW1Gfsy6OlF6yJP5XWx6vsnjo4NfakRwEQnV/7MBtg+p7SY2njLQ2hvdZ2FJ9ygva6E66Glh/qULjl99VKota+Zby7rVnbpoA049KGUXbb7jigRrY52p36Gn96avaCyu7yb3c/fU8ZPWTjIW26pdFi3+eOsdQ9Njvb+ZH2MQCXVTj5XeE62SsHr7BtHzGO4zAMy7LoM3WPykt3La3f4C/2Lhnp+D15Y4D3XCX5aY34I4WyXIH6Vvp954NtiHJD91ZZednvOXnvh2GQLznICP4qM4F+sUFPvXy1Q/7/S2ilgfrKjyroq2wo/vajLxhUsj3R1/9lH6+2qcCe8gNedCyApCgde/KX95TrMIQgJZS8517Zp89LgtRL+o1yapqmaZqu2ajy3m/bJj3AVWa+ruuccxJOy7LIqbdf+/vjm0tm1UCVJ/eOpI6IkaCSqpW8w6/INxfTkTLFbdum1SmpUUmAld4u4FXlk5/3Xivs8szf2yXSuLHPHL/n9hjpINsgN/P/sgGXVWvaUxpOSs7m33fcOWcD9ThIbATq0OJr1oreptUpyXy0+XAvfa2lPAAAe8q3/AAAOBnJDwDQHJIfAKA5JD8AQHNIfgCA5pD8AADNIfkBAJpD8gMANIfkBwBoDskPANCcqyc/+Xni0lsBAKjK1ZMfAAAf96/0Bjzx95lo0A6ZXd0+M46jndtP5gbix9wBlJ/VQeaa8d5ryWXLL12avlCfrH6aHrxor4dcJrQi+X2EXKo6r5NdJDO52woHcF1badmtWtfVLj144TzPp23qfUWFVK2HTvZrGIZ1Xdd1tRP7yQryfNFtrIH0x8iMhsdPApd1oW5PuXikbp72X+FtMtG2/C+zildfPZf9lb8yi7qQXT7oSKAX4RX28GYXAdd3leQ3z7NcNuu6TtOks7of2Oi8eo2da9s5tyyLTYft8N4fxJXUuuqbbx1A1lVGe9qmScntqNHBfdO6ee9tsw8A1FVafqrBMvoc0uwrvRVnCCFEI19eGTNMRwLQlKu0/LRcfr2A9g/f2aLapD1+LRw6GfxCdwKAyFVaflFt/ZWqut6koWh7KhqhIPf8aj1uwzC0kNcB/MVVWn52VDr57OPkC1jy/zzPIQTvPQfZohcBaMpVWn57I+8P7sRwk+Z19ljV3ex7G6M9X0ctARW4SssPZyLz4W36QznynZmDJ4ErK//zZnKrj1EJAIDTlO/2lLt9ZD4AwGnKt/wAADgZ9/wAAM0h+QEAmkPyAwA0h+QHAGgOyQ8A0BySHwCgOSQ/AEBzSH4AgOaQ/AAAzSH5tYXf4weA7prJT+bcoZj+LOdc3/fTNPV9X+vv7utsTZbdWZnFkB+SBdBt1yPTrs7zXHpD6jHP8zAM8r+c93VdS27Qd+iEvXtxrnMml93OW1vXVY7zYFQZTqjbFVt++Dg7y9q2bV3X1dr4E+uDZru69/dM2piW7hlpTE/TxBHGvZRPftoNJVeRXaSdVOl1pR1cx5ecXJyf3NxahBBKb8K3DMOQ9nmmYUBovS26TuVALctSZGOAN5Vuev7XC6cdVttO55X2gq7r+uJe6Jqn7ctldT+7kaWrqtjWfI12x9knbfxoQ9Cy66dL9zr0orBsTbTvXGi4nfItPxFCGIYhKpvmedYEprXsaZq6R4GlSxnC8CshhIqPmOyd6PtenoyacXKbSpKlNoL1mEjCk6USbzgg1+bBDVfgisrm3i1Xg47q73aQQtqYo3n3Cns85YgV3Zxv2St/tfWWDnixK0QrZ5+BkCMjXQhd0toGru/fh3LoX6UNEX1mHEe9ndDsXZaPkEMaQsh2HddEk5xEzjRNW65LMysNxfRuNLqum+eZQS64r6t0e76IMuhtMjbPObdtW92HcRgG95B2mz+VHRrzsY0DcA13TX5aQjEk71daK8ff2N90gGj2TQgt4NZulvy6x331aZpkOIOMVsj243nvp2liwAJeJFEUQuj7Xr671u2P45DQarnfj9yPW7tf8vPeyx0dHaS3rmtrDZrfmue58UP0SpYax1FrURJd8zxTxEe89zKGNoTgnOP44Kb61wcCAABQh/u1/AAA+COSHwCgOSQ/AEBzSH4AgOaQ/AAAzSH5AQCaQ/IDADSH5AcAaA7JDwDQHJIfAKA5JD8AQHMunfz6vu/7nl/Oxetk4lmJnHEc7e9Zyy8yy48yA1dAEVfQpZMf8CvOuWmadLqPEMKyLGQ7AKlLJ791XZmuCK9blqXrumEY1nXdtk2mvuoe8xnJjEXZqR+BIijiOtMl0/f9qRNkbhcwz/PwIMWWkGfSNed5jpbqa/Wtone2b7Kuq36cvFXW+vDX3cMpNKvZJyX/6VmOgkEjYZ5n+T9d04acXT/6lNcj6o+7WZwc5+Gnrusq2DXLnncRFVBPS615nvXlFHEH26Abf/KWlE9+QzJTtp4teahH5CB5v57mtTXwtAYQbczdSZDtHeoKaPKLCoJ0hejhexFlS6W9RRFZWkGSSK+aqEyvgBYU+ow9fWk8yPM2CDUSKOIO7F0sJyif/OzpjwLOLtIAinqu7Jqy1J57+9BGrVbkLx4ZnyIHQaqBWh+sY9esqJSJqr3R6dZ1DiJKlurbRg/tmvJBaYlp2Ti8NW38RU+W2Zqv2SuaNFps0SRHwwaSVggo4vbIxpf69Kskv2zNMT2juk62IIvqU9nqlW3mR0FTq7SoKhvxXyXZvfspWxBEhcJBqbQlIWTX1IiyxdAZu1pUlV2dEdlH7YG0V40tiGxlKMqLgiJuT+vJL62tZ0uctEx5sajakshIC8drRsanyAVg9zF9pj5RBXn7WZqkNeLj1HjwMNt9esIOFlf9ntqQiHZ2r2sx29KiiNuzmht+5ys/2tN7v5lgCiFM03SwcvTPb8lQ+KhHojUyuqyybxfJN/x04Jx8yS+bmfZe/t6HSrim3afVyyaAmmgsRbHhnJNxxTJO6ulxoIjbM45jCGF8OHWoZ1e64rY+RiXpQ9mqtB9A/k9HGchDu+bxQ/uqbB+F3TbbgXBfspvp3a/Kej6zZzN7q0YWyf9Rx1H3y5Zf1M8ZhWW6hRWEk6pvkEvKNqHsSGBbFtnIyfYoUMQdiOqLZzYEyyc/u9vZAmj9eaM4kq55/DD7cdnTH0X8rcnO7j2shj2nabEVFUxp11AaUfrOew+PAzhyEGy3U/ZuzWnWZODJZsqiKIS2w+70bITYkKCI27Zt79r5hsLdnvK9Y/lff5gj23fknLPB8XaXi+180A+qrAMw5b2f51m+QyqdOdu1+0PeI7sp/2s4zfOc7U7x3kcJ8o1PHMdR36SpiHLORUfVe1/fXme/fu6ck5OuvYvH70AR97q9Kuk39DctBPVey023vxS5MVZ6K65IbuQMw3CXYqKgvu/nebaB5L1floWL8YOaKuL0NwjXM3/v5rQ25h/J1kYd4gVHCuHuJKKiHtFLdQFd016LhIvxj1ou4qQX/eQ7Ardp+Wk9yLrLxuOCdMyeotmHgijiTnab5Cf0voId1A68jYjCpRCQp7lZ8gMA4O/Kf8kdAICTkfwAAM0h+QEAmkPyAwA0h+QHAGgOyQ8A0BySHwCgOSQ/AEBzSH4AgOaQ/AAAzflXegP++33hvUnXgBc55/Z+lnocR6ILgFU++fE7+viIaIoGix8I/iCdfMBO6Cr/UIXFjRTu9nTOyezGy7LoZSMTrgp7Lcks5JosZbW9i63KeaXf5pzrjSqTwfqgE87JDGGnTo/ZAO+9zHpor0Tv/bquXHG4kzMnD0ylG5OdKtOurNON6gSkB+988uyI17Su6zAMcmDneT5/0siTHQTGPM/Dgx4EPT66WrRC9ObiCxt+D3bfpc2XXQRcXPmZ3KMJi22Gi0oxkt979IgVr+ucYy8w0kqVhIfWt6I1s8Ej4drIkXwqSn7AjVxltKd2TEm1Wjozbb/Kb99Qdo/+rq7ruA3TmYMgKU1KbY4M0KzyA15SeiMQ+BS5YSyVIe/92wHGbS2gDldp+alpmmT8mNTQD9akGMKveO9lvI8MVgTQsqskP8lkr4zk1HUOhrZ3jPbcIa2fBo+MfJ20ewwB1Vt3ANp0leQXQpCOKXkow/Gj9KZfJ5L6+/EbTtM0TVODpfyBYRiku6/BW6ESCcMwSJjZbs/oaBzHjH/4wjYCOE/55KfNO62Yy8MQgg7b03ahrbBnvxSBA3wZK4QwjmNUc7JVrqedos45qVd9byMBnKHcQFPgK55+1UG/9ajr2IqU/s9XHQ7YruO970QCV9Zvh4NKAACoT/luTwAATkbyAwA0h+QHAGgOyQ8A0BySHwCgOSQ/AEBzSH4AgOaQ/AAAzSH5AQCaQ/IDADSnzuTnnJN5IeShzmKKusmMDdFMWB+ZxUl+DlvfmYjC6wjLa7riTO6fotPWyD8yR2DJDcKXZad4/PjZ/8tE8GgQYXlNdSY/OzUg8HfZeZWBsgjLvyjf7Rk11W0XgVSLZKn8k57s8cEu8t475w66FORT0p4HeV5evveJ9lNanhvvjiSiJDay51efz0bUwTvvBYwGsK5wEDO3iCi5pyC3FXRr5bjZLri7S/sqo9O3V4bYM/7i0Wg2LNNP995LdJ0RSKXnVPpvQiWdD0wmCRuGYTMTs+1t896iaLa26CPSVx0s6rpunudXjgLD/gAAEPBJREFUtvyy9DDKpspMbIW36TtkN6O9sycxOwGyrp+NN1kkYSlvEs0XmH3VcURlYyYK2ivLzpgosyQW2qLPS0+HPXd751SPjC3HCMtjsqny6fM8y8MTyqjyLb9XyGyZejqlUqBVA9kTu+iAtjLlWEv0pBNz6znodrrsb8R7L8dHqldSDYxmM2+NXFpyYYcQ5MhIGEQVr6d13uyr0ji0AXz95t2xcRzlwol2pJpmX2f2RfbRDirRvbZlSLTvIYRhGH57QNoMSwknbWqP47ht2xkb8+3s+pRsxnHLT1e21RD9XxKVfc+Dlp++JLsB0dIbVcaf6n5Wpro7tFl/S07WK1VsXZrW0LtcW/+gih29YXZpNrzvzu5mHXsUsSfd/r9tm55QO6P9lvSyCMLyKTkCJ2/APVp+ajR3B/X/ZVmmafpVN/GYDIfJVjTS1Wpy9/bH27S06n6eYtvWf/HGQ3oM9Q2j+0DvbeqVSYGld6pKb87nydmXjh8ZSGmbgxIh0zRlx1i+cUBaDssiW3Kz5Bedue1nzWtZlrcP4nXi4EvspVWrF/fRllZpRM3zbCPq7a686iNKc8PrIzvuJZswuq5zzklGlD6n7B07i7B8anyMajzzQ6+S/PRkZ6tReqYl5iQIdMCS3NOSJ59+0yXqoNfPfeO432Js3oFrXgZ/IXukN0u6n7dq7JpRvOm1p4PutkfX0PEp1rfVD/pLGrhdREmjpL5AUnZMgCY5OUd6m+rpmADC8qLO7GPNym7VK6M9tR40DIP9fzu852ffM3rVltzzy45qi7b8LnfO5Jik/1fmIJy2nWF1UZxEEWUHNWRvruh72gq+hlAUPwc3V+54g9mO06uSLS70yewZ737e84veh7B8qtsfV/8l5Vt+UTbKdhHY4LBjk7S1JxWlYRie1lDGcdR3kFfN81xnveYnqfpJFXJZlr2Kxd1tplYk0vMbhdlmyoIoouZ5ftqscc7p8Dx5Zl3XKrsBG5Q9+845jRMZiP70fQjLKzoz0/7WccML+K0ig8oqJldoTV/vK4KwLBJI5Vt+AO7Iey83w/4y/gIoFUh1/rYngG+TUYiltwK3VyqQLp38xnF8OowYeF2REdXAMcKyiJ66GwCgNdzzAwA0h+QHAGgOyQ8A0BySHwCgOSQ/AEBzSH4AgOaQ/AAAzSH5AQCac/Xkp5P2pXQy5XO3CAA+hiKulEv/vFn3wuS0eJ1MSslvEAPXQRFXytWT3wE7Mx/QdZ3Mdm2fkfkL7cNuZxZsmebwlSkhgXM0UsTpVPXaxj3pRzfPnD8pS6Zw3LZtnmf9X+lGpkvXdR2GYW8KqHVdK55g+j3rutY99dpekEskHE8PeceJ1Iuz04VXdrlJgWOvFyl/dDe1RIr23RZo8nKKuAPRwdmSWea/p/ylflBa7S2VRcdlWfQ+sPNE13pYbEEsmd7GzNO5kesoTU5Wa40hrQzZa+dpBUuuNVuaU8Sl7By2mublyJ+wXxca8CJFj/yf3peyZRkdU7+lHQtSG52mqe5jaPc3u4JzLhpoIHdD9w6L3C79/IbelvfeHkD5v6ZDpEWQ7JQ+tLspBbTkuajICiEMwxA9SREXkd2MxvvIkTnjCHw7uz4lm6FN+6iyI/9HtSRZ+WlFHkIO1Ga6PbtHnbQyEg9212z9fe/2SbpmRF9461r2B0lxb4v+rcbrUXZN2yVRMaX/aIfKthMqFHF7si2/bdvOudau0vKzVciDpXhDtg7Vwhgz7/2yLOnz0i/aWi37U7z3IYR5nqOrUufjruZqlSaIhJBcL7Y5KF9CmKYpeymlB4EiLmUHoOkRyDYHv+Fyoz0piU6gddUqhRCir0ZFbT69urKpMaXFOroXyqZq6lVRcaxkYHDXdVID2Ktj7aGIs+Z5XpbFHpNpms4Z43qVlp9WqT71LTRu0qh0fH8IoZGapjTyGtnZi6ipaiX7Mk1T13VRV4Hc0nu9CkURl+WcW9dV6hPLssi3O066YL/dr/pUdquiHvBo5Vc6xKP3aVxn+vrkYekt+go56Xu3M9OAsUHCVx1el73nF/1fB9sE0SftFzyisjRbKFHEvUK/6nCaq7T87Ki89HYC/mjbtq7rZJAnnXhvqKOW/Sne+3mepd0jnZzjQ2WhlS2InHOS9mRI54t9dBRxV3OVe37RL3Go6FqyD4+vtMouwr/zD/y82W9576Xjix5UZYf+hxAqrhlkS5Jof3Wdg0KJIu5qrtLyA3A7tuVXcf7DCfYqB99zlZYf8HfHdeG0Hm0fOuf2rr36evM+hYSHTzm/T6V88pOucHqTTsBBBs5HEXdNPVVaAEBruOcHAGgOyQ8A0BySHwCgOSQ/AEBzSH4AgOaQ/AAAzSH5AQCaQ/IDADSH5AcAaA7JDwDQnEsnP5khLLvIe9/3fd/3527RLemx0p8h7vu+4l8alDkLx3GU3bQ/vqyLsi90ztV9ZACoSye/EELdU4Wdw3svc7jLrAXyt9aj6pybpkkip+u6EMI0TZrPvPe6CO+ROWylOqXzYGitgtkicRtnThv/W7KF67pml67rurcIlh6lYRi2beu6bp7ncpvzRTqntsyvva6rzLitUaSzae+9nKB6UXptHlyqwAVdouWn1ca9KTGlshktPZiATaYs/8am3pHtx5P/a62ey3zrnYko773kv3SX05aKTHO/FzkElSX1DD16zjmmucfNlM6+/6uMK22XHGyw1vGz7xm9D4Qc6ooPi5z3tP2h7bk02Lqukwbxtm2SJvVh9A4XuV6uQw6XHNuKgwq1Kt/yW5ale5TIUjbJM5ZcYPJ/ra2WE0jDpdYDeNAsSwe5SL+oFN/cAnyPHPBpmg76YIDLKjyTuxZY0VgM6baSRdqdMgzDi+XUxgy9CRnrUXorzvBK55sEnoyD7R7dpMfvSVCl1nXVrmbgXgq3/NLautx04ebBx0khpQNA6mOHdJbcjpbIoWZINu6ocPIjyZ1DmtTShtZyqtYCK+qCk2/v8ZXQj5P4kQYx7T/cTvl7fsJ+/9p+Hfvtd6u1ZH+P3EaVW1/TNNXatpZ7xrYh4r2Xff97k5egsmRkrNQz5LBz2w83U3S4zbY9xox1P4snWST/26+pdY+hMYz2fJ2UTXoY9WiX3KavOY7z9Ht+NsYY7fm66FBElypwfeVbfvpNLBmOoV/Exqc457Zt06betm3rutbaiNmS7zMQUZ8l3cjdzy/5yT/2x3SAi+spFwAArSnf8gMA4GQkPwBAc0h+AIDmkPwAAM0h+QEAmkPyAwA0h+QHAGgOyQ8A0BySHwCgOSQ/AEBzSH4AgObcNfnJHNxM0gYAeMNdkx8+pdbpHQDgwF2T3ziO67rqLGs4IK1knWtG5wqW52uag9Q5N/704t7RkQA0p9xUgv8ZhkFmXJvnWf+39PlhGOxsmdmVheTFr2zuPckUd/J/93Pu1pKb9Wl7Qf40GJir9nVyPdr/u67Ta3Nd1+g6Ba6p/NV+XFrtLWIm91+xk7nbfyor7mWPpPBd19XOavv0tVSYXmcvLhtasmivSgpcyoW6PW03pvRW6e0o2VapY9bUTXca6fNMb+/JIa2P9nlGs7p3pmvUBpL33jm3d/vTe8+d0ciyLPYhE7jjdv6V3oD/zPMs18+6rtM0hRDsUimqXi+ANqanR469qxdCWJZlXVcJvBBCCCFbtZqmqes6XRNABa7S8tNixZYv+n8IYZomO2oDv5K2/OT/upvR3nvbQNGdpSPhj/Y6DCSouEhxC1dJfipq3m3bZm/ehBAYkveeeZ5te1oK/SrLKQmSvu+lxdZ1XTQqWHoRvPfbtr3SnSDJsspj9R4JnrTesPc8cEUF7jP+JJuhN8m1Urk9xpJFt9a7R0Y82H4GL2TJSLzogNckDe9o5GG6VJ5ntOcbdKinHEkGeeJeyl/t2ZQsV5FmO7m0bMJmtOfbuheG/t/UK3nd1gB0ZZLf2+y3aIAbuUq3px2Vp4NfdLSeDEboHkVVoW3EvckgT+3w1NB6+kJGewL1ucpoz70f43DOZZ8fx/EgC5IgkRrHcVmWEIJkMq1OPX0hoz2f8t5zcHAvV2n54TTasG5NtiOBJt1fOOdkPO00TYxzwb30xRtJMnqTajUA4DTluz2lMk7mAwCcpnzLDwCAk3HPDwDQHJIfAKA5JD8AQHNIfgCA5pD8AADNIfkBAJpD8gMANIfkBwBoDskPFXLOjePY971M41B6cwBcDr/wgqp473UCd8UPWAOIXKXlJ1X1aGIjmSdFfvbTLtXnox+S33veLvLey2fZ0lA//bihwLxuF2cz37qu67rqNA78eCx+RcoEW5JE5cNeoaFFVjQdG0Xc8YdmffeDy82j+x+dRDvdquyiiE7bbafDFTpfebqoM/O8v3hM9E2+eTDwJ9kzqFEk8TDP8zAM8zzLlO7DMNjn9aHS5zVg0kXbtuk/+qHDQ/pCu5p4e5cLkn3sHnMiHuzmHaXXu42itNCQ5zXY9MhsFHGHXtnxb330V9/9pS0w+2lDJ3qoV1r6cEsKOLtIP0JCQU9w9DBdM3L35CfHJLpablrs7olKhOh5zVLZy8w+1HdI14zeM6J59OCF6YbdMW2k8dN9v7Q6WfacbjulTZrntCJlw48iLvpE+VAbOacVTYWLcj2j2WeipQcP9bRpVVof7tXg9PTrUdZX3bEwOiaXivwvjZ6tuvyXxpKyxZOWGnIctKiyD2XNg1Ijijd9T1vYyZoHW7XdNvnJTkWbnX3y1myLNmrd2kLjIEVtFHHPdCbz2X/2LplPfvS3P+BYetrei4xsdd5Ghq1ZRHGc1tOvExmfYo/A3v939zT5RaFiF0VXnTyU1aQOHhUxaUefLfJkfXnelllf2e0S9sqmveN/Uzaiol3ba9ynQUgRd0B2cDU9xun/31N4wMunhiHI+2g5pfT9Qwh7L1yWpXtU/Pci7NbkvvHeod47MrejO7h3n9ye3NdPdAhhmqZpmiRO9MnjVznn+r7v+96+qhp7uy9HtZpBYXsR5ZyzhUY2EaZv8pGNqayIS4sm+0w6qOezCs/kbsPr7ztsB/XJ+8joJjn3+hE2SuT/eZ5l/YNCTS+ACsYNVrALB5xzUWklp/W9vZ7n+bcvlBGnwzDo1w3f+Nz7qim6hmGQ2k/XdZrkJLrk/HaP072HIu5ANEr2zI/uugv0Udh7vLpV68+hU7Lm8UN9rX2faJFlu/KjV13kbvAH2Z0azIDG++5RVnSrf/s5AEGeOejn3HJ3B+1byf35Lek7jfo2s1Ga7cPR+vvnjsEZ9u4WVxZOWy5+NnO6o1bUttP3ThG3Jwok+9F7G/lBl4jUqN8gvT37ysPtZ7d4dCvLRoAt1Gxw69Cj7Om/e/Kz14lG1QkRdrKDWyN2hVeSn8aGxkw2bNJPsUGYboBl3/Ne0muhsvFTSs+gfTIalqkr7N14pojb0/0sjlYzFu/rH/3tD7igdLRCC/SqkBZMVOjXJCposmXEK8lvS5KcjZmoTLGFmt0AXS0bb3dMfrYaoQdKIkpbM0U2DOpGRZxcIBpLUeb+qvp/3kx/9UNuDkcPC2/cufSWAD5Obuy1EFRyS1V2c1kWKUD0Z0o6fgjpdBUUcbZoOq+Y+nZ2vYK0K+wWdSJcVtRBdOsu8d+KGtbyZIOlyqVQxL2h/pafsoOjCm8K7i8dw3mjijaqRBH3Kw0lP+CztH+P4ga4HZIfAKA5V5nSCACA05D8AADNIfkBAJpD8gMANIfkBwBoDskPANAckh8AoDkkPwBAc0h+AIDmkPwAAM0h+QEAmkPyAwA0h+QHAGgOyQ8A0BySHwCgOf8PqKJTRzAl4rEAAAAASUVORK5CYII=\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"gROOT->GetListOfCanvases()->Draw()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "ROOT C++",
"language": "c++",
"name": "root"
},
"language_info": {
"codemirror_mode": "text/x-c++src",
"file_extension": ".C",
"mimetype": " text/x-c++src",
"name": "c++"
}
},
"nbformat": 4,
"nbformat_minor": 5
}