diff --git a/.gitignore b/.gitignore index 57841ee..f70e445 100644 --- a/.gitignore +++ b/.gitignore @@ -176,3 +176,317 @@ pyrightconfig.json # End of https://www.toptal.com/developers/gitignore/api/python code/files-test/** +# Created by https://www.toptal.com/developers/gitignore/api/latex +# Edit at https://www.toptal.com/developers/gitignore?templates=latex + +### LaTeX ### +## Core latex/pdflatex auxiliary files: +*.aux +*.lof +*.log +*.lot +*.fls +*.out +*.toc +*.fmt +*.fot +*.cb +*.cb2 +.*.lb + +## Intermediate documents: +*.dvi +*.xdv +*-converted-to.* +# these rules might exclude image files for figures etc. +# *.ps +# *.eps +# *.pdf + +## Generated if empty string is given at "Please type another file name for output:" +.pdf + +## Bibliography auxiliary files (bibtex/biblatex/biber): +*.bcf +*.blg +*-blx.aux +*-blx.bib +*.run.xml + +## Build tool auxiliary files: +*.fdb_latexmk +*.synctex +*.synctex(busy) +*.synctex.gz +*.synctex.gz(busy) +*.pdfsync + +## Build tool directories for auxiliary files +# latexrun +latex.out/ + +## Auxiliary and intermediate files from other packages: +# algorithms +*.alg +*.loa + +# achemso +acs-*.bib + +# amsthm +*.thm + +# beamer +*.nav +*.pre +*.snm +*.vrb + +# changes +*.soc + +# comment +*.cut + +# cprotect +*.cpt + +# elsarticle (documentclass of Elsevier journals) +*.spl + +# endnotes +*.ent + +# fixme +*.lox + +# feynmf/feynmp +*.mf +*.mp +*.t[1-9] +*.t[1-9][0-9] +*.tfm + +#(r)(e)ledmac/(r)(e)ledpar +*.end +*.?end +*.[1-9] +*.[1-9][0-9] +*.[1-9][0-9][0-9] +*.[1-9]R +*.[1-9][0-9]R +*.[1-9][0-9][0-9]R +*.eledsec[1-9] +*.eledsec[1-9]R +*.eledsec[1-9][0-9] +*.eledsec[1-9][0-9]R +*.eledsec[1-9][0-9][0-9] +*.eledsec[1-9][0-9][0-9]R + +# glossaries +*.acn +*.acr +*.glg +*.glo +*.gls +*.glsdefs +*.lzo +*.lzs +*.slg +*.slo +*.sls + +# uncomment this for glossaries-extra (will ignore makeindex's style files!) +# *.ist + +# gnuplot +*.gnuplot +*.table + +# gnuplottex +*-gnuplottex-* + +# gregoriotex +*.gaux +*.glog +*.gtex + +# htlatex +*.4ct +*.4tc +*.idv +*.lg +*.trc +*.xref + +# hyperref +*.brf + +# knitr +*-concordance.tex +# TODO Uncomment the next line if you use knitr and want to ignore its generated tikz files +# *.tikz +*-tikzDictionary + +# listings +*.lol + +# luatexja-ruby +*.ltjruby + +# makeidx +*.idx +*.ilg +*.ind + +# minitoc +*.maf +*.mlf +*.mlt +*.mtc[0-9]* +*.slf[0-9]* +*.slt[0-9]* +*.stc[0-9]* + +# minted +_minted* +*.pyg + +# morewrites +*.mw + +# newpax +*.newpax + +# nomencl +*.nlg +*.nlo +*.nls + +# pax +*.pax + +# pdfpcnotes +*.pdfpc + +# sagetex +*.sagetex.sage +*.sagetex.py +*.sagetex.scmd + +# scrwfile +*.wrt + +# svg +svg-inkscape/ + +# sympy +*.sout +*.sympy +sympy-plots-for-*.tex/ + +# pdfcomment +*.upa +*.upb + +# pythontex +*.pytxcode +pythontex-files-*/ + +# tcolorbox +*.listing + +# thmtools +*.loe + +# TikZ & PGF +*.dpth +*.md5 +*.auxlock + +# titletoc +*.ptc + +# todonotes +*.tdo + +# vhistory +*.hst +*.ver + +# easy-todo +*.lod + +# xcolor +*.xcp + +# xmpincl +*.xmpi + +# xindy +*.xdy + +# xypic precompiled matrices and outlines +*.xyc +*.xyd + +# endfloat +*.ttt +*.fff + +# Latexian +TSWLatexianTemp* + +## Editors: +# WinEdt +*.bak +*.sav + +# Texpad +.texpadtmp + +# LyX +*.lyx~ + +# Kile +*.backup + +# gummi +.*.swp + +# KBibTeX +*~[0-9]* + +# TeXnicCenter +*.tps + +# auto folder when using emacs and auctex +./auto/* +*.el + +# expex forward references with \gathertags +*-tags.tex + +# standalone packages +*.sta + +# Makeindex log files +*.lpz + +# xwatermark package +*.xwm + +# REVTeX puts footnotes in the bibliography by default, unless the nofootinbib +# option is specified. Footnotes are the stored in a file with suffix Notes.bib. +# Uncomment the next line to have this generated file ignored. +#*Notes.bib + +### LaTeX Patch ### +# LIPIcs / OASIcs +*.vtc + +# glossaries +*.glstex + +# End of https://www.toptal.com/developers/gitignore/api/latex + diff --git a/.gitmodules b/.gitmodules new file mode 100644 index 0000000..a52fda0 --- /dev/null +++ b/.gitmodules @@ -0,0 +1,3 @@ +[submodule "arxiv-style"] + path = arxiv-style + url = https://github.com/kourgeorge/arxiv-style.git diff --git a/arxiv-style b/arxiv-style new file mode 160000 index 0000000..9205146 --- /dev/null +++ b/arxiv-style @@ -0,0 +1 @@ +Subproject commit 920514696f6e7270cab0558fd97c44515c63b4c4 diff --git a/clear_images.sh b/clear_images.sh index 7a8b7c9..c02be99 100755 --- a/clear_images.sh +++ b/clear_images.sh @@ -2,3 +2,4 @@ exiftool -all=* ./images/ && rm -rf ./images/*_original exiftool -all=* ./code/assets/ && rm -rf ./code/assets/*_original +exiftool -all=* ./latex/ && rm -rf ./latex/*_original diff --git a/code/QFT.ipynb b/code/QFT.ipynb index c7a38be..cd0019a 100644 --- a/code/QFT.ipynb +++ b/code/QFT.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 17, + "execution_count": 1, "id": "2a494449-e097-45fa-8263-6be435f265be", "metadata": {}, "outputs": [], @@ -18,7 +18,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 2, "id": "32cd76ff-d578-48d3-9bd6-bcf23e63c46d", "metadata": {}, "outputs": [], @@ -28,43 +28,42 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 3, "id": "76de3cc4-00b4-437b-a999-e0912ec7c27f", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, - "execution_count": 26, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "qc = QuantumCircuit(3)\n", - "qc.x(1)\n", "qc.append(QFT(3), range(3))\n", "qc.draw('mpl', filename=(get_image_path(\"QFT_1.png\")))" ] }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 4, "id": "d7807c2c-c13a-46c9-a519-9015392d08e9", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] }, - "execution_count": 22, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -77,18 +76,18 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 5, "id": "a746bdca-1b30-44c0-843f-c61ac2a2ab18", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] }, - "execution_count": 23, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -99,18 +98,18 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 6, "id": "87c475d8-2ae6-49f8-bd6c-9094929bd6ca", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, - "execution_count": 27, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -122,18 +121,18 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 7, "id": "22214517-77a3-4513-b4ca-de7b4cc119b8", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] }, - "execution_count": 28, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -146,18 +145,18 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 8, "id": "ef640d69-8c55-40f2-9683-55d13df4a462", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, - "execution_count": 29, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } diff --git a/code/buckshot-roulette.ipynb b/code/buckshot-roulette.ipynb index 7947dcd..9919c7e 100644 --- a/code/buckshot-roulette.ipynb +++ b/code/buckshot-roulette.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "id": "be8ee858-5049-4c4c-ad17-52ab4e3fa640", "metadata": {}, "outputs": [], @@ -30,7 +30,7 @@ "id": "ef6f7407-d705-4a1d-b954-8cfc827df78f", "metadata": {}, "source": [ - "![diagram](./assets/buckshot-roulette-diagram.png)" + "![diagram](../images/buckshot-roulette-diagram.png)" ] }, { @@ -539,7 +539,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 2, "id": "bf8ad3b0-9cd0-40ae-a26b-50a5c96b18c8", "metadata": {}, "outputs": [ @@ -550,7 +550,7 @@ "
" ] }, - "execution_count": 17, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -563,7 +563,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 3, "id": "af963ed3-2471-4b2f-88f8-15dd76dd6314", "metadata": {}, "outputs": [ @@ -574,7 +574,7 @@ "
" ] }, - "execution_count": 18, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -587,7 +587,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 4, "id": "daadb9b5-541d-41d9-b100-f7e7c9f3c312", "metadata": {}, "outputs": [ @@ -598,7 +598,7 @@ "
" ] }, - "execution_count": 19, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -611,7 +611,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 5, "id": "ac12df70-115e-4f32-bb64-5f89db2d89ac", "metadata": {}, "outputs": [ @@ -622,7 +622,7 @@ "
" ] }, - "execution_count": 20, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -745,17 +745,17 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 11, "id": "fd73a3e7-0c5b-470c-b5c4-4666a6b51aed", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'dealer': 435, 'player': 429}" + "{'dealer': 157, 'player': 705}" ] }, - "execution_count": 22, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -3171,7 +3171,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 17, "id": "b06ce7d1-977a-4ff3-9d20-facbf3255a4d", "metadata": {}, "outputs": [ @@ -3184,67 +3184,61 @@ }, "metadata": {}, "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" } ], "source": [ "player_optimal = QuantumCircuit(1)\n", - "player_optimal.u(minimized.x[0], minimized.x[1],0, 0)\n", + "#player_optimal.u(minimized.x[0], minimized.x[1],0, 0)\n", + "player_optimal.u(3.0853981633974477, 3.7853981633974474,0, 0)\n", "display(player_optimal.draw('mpl', style='clifford'))\n", - "plot_bloch_multivector(player_optimal)" + "plot_bloch_multivector(player_optimal, filename=get_image_path(\"player_optimal_strategy_bloch.png\"))" ] }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 22, "id": "6369ebb2-8e50-4b90-ad94-cfd526e84eae", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, - "execution_count": 33, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ + "sim = AerSimulator()\n", "qc = buckshot_roulette(player_optimal, dealer, gun)\n", "transpiled_qc = transpile(qc, sim)\n", "result = sim.run(transpiled_qc, shots=1000).result().get_counts()\n", "parsed_results = parse_results(result)\n", - "plot_histogram(parsed_results, filename=get_image_path(\"final_buckshot_roulette_quantum_optimal_strategy.png\"))\n", - "plot_histogram(parsed_results)" + "\n", + "\n", + "plt.bar(x=['dealer', 'player'], height=list(parsed_results.values()))\n", + "plt.ylabel(\"counts\")\n", + "plt.savefig(get_image_path(\"final_buckshot_roulette_quantum_optimal_strategy.png\"))\n", + "plt.show()" ] }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 23, "id": "e66886db-ec18-44c3-99f3-eafe89bc8de3", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAnkAAAHwCAYAAADaXnksAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuNSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/xnp5ZAAAACXBIWXMAAA9hAAAPYQGoP6dpAAB40ElEQVR4nO3dd3iN9/8/8Od9MiUyCEHIsMWeNWsLqopSpVqqRrXUB61NaW2l6Ldo7S7VKqVVe6Z2kNgjsYIIIhISMs/r94ffOc3JMJKT3OfceT6uy3XJfd8nz/f7vu9z8jrveykiIiAiIiIiTdGp3QAiIiIiMj8WeUREREQaxCKPiIiISINY5BERERFpEIs8IiIiIg1ikUdERESkQSzyiIiIiDTIVu0GWDu9Xo+IiAi4uLhAURS1m0NEREQaJyJ49OgRvLy8oNNlPV7HIi+HIiIi4O3trXYziIiIKJ+5ceMGSpUqleV8Fnk55OLiAuDpinZ1dVW5NURERKR1Dx8+hLe3t7EGyQqLvBwyHKJ1dXVlkUdERER55nmnifHCCyIiIiINYpFHREREpEEs8ogyERgYiI4dO8LLywuKomDDhg0m8ydPnoxKlSrB2dkZhQoVQuvWrXHkyBGTZaKjo9GrVy+4urrC3d0d/fr1Q1xcXB72goiI8jMWeUSZiI+PR40aNbBw4cJM51eoUAHffvstTp8+jf3798PPzw8BAQG4d++ecZlevXrh7Nmz2LFjBzZt2oTAwEAMHDgwr7pARET5nCIionYjrNnDhw/h5uaG2NhYXnihUYqi4M8//0Tnzp2zXMawH+zcuROtWrXC+fPnUblyZQQFBaFu3boAgK1bt+K1117DzZs34eXllUetJyIirXnR2oMjeUQ5lJSUhCVLlsDNzQ01atQAABw6dAju7u7GAg8AWrduDZ1Ol+GwLhERUW7gLVSIsmnTpk3o0aMHHj9+jBIlSmDHjh0oUqQIACAyMhKenp4my9va2qJw4cKIjIxUo7lERJTPcCSPKJtatGiBkJAQHDx4EO3atUP37t1x9+5dtZtFREQEgEUeUbY5OzujXLlyaNCgAZYvXw5bW1ssX74cAFC8ePEMBV9KSgqio6NRvHhxNZpLRET5DIs8IjPR6/VITEwEADRs2BAxMTE4fvy4cf7u3buh1+tRv359tZpIRET5CM/JI8pEXFwcwsLCjD9fvXoVISEhKFy4MDw8PDBt2jS88cYbKFGiBKKiorBw4ULcunULb731FgDA398f7dq1w4ABA/Ddd98hOTkZQ4YMQY8ePXhlLRER5QkWeUSZOHbsGFq0aGH8ecSIEQCAPn364LvvvsOFCxfwww8/ICoqCh4eHqhXrx7+/fdfVKlSxfiaX375BUOGDEGrVq2g0+nQtWtXfPPNN3neFyIiyp94n7wc4n3yiIiIKC/xPnlERERE+RiLPCIiIiINYpFHREREpEEs8oiIiIg0iEUeERERkQaxyCMiIiLSIBZ5RERERBrEIo+IiIhIg1jkEREREWkQizwiIiIiDWKRR0RERKRBLPKIiIiINIhFHhEREZEGscgjIiIi0iAWeUREREQaxCKPiIiISINY5BERERFpEIs8IiIiIg1ikUdERESkQbZqN4DI0g2Yn7PXLx1mjlYQERG9HI7kEREREWkQizwiIiIiDWKRR0RERKRBLPKIiIiINIhFHhEREZEGscgjIiIi0iAWeUREREQaxCKPiIiISINY5BERERFpEIs8IiIiIg1ikUdERESkQSzyiIiIiDSIRR4RERGRBrHIIyIiItIgFnlEREREGsQij4iIiEiDWOQRERERaRCLPCIiIiINYpFHREREpEEs8oiIiIg0yCKLvJ9//hkffvgh6tatCwcHByiKglWrVmVYLjk5GevWrUOfPn3g7++PggULwsXFBfXr18fixYuRmpqaZcYvv/yCV155Bc7OzihUqBBef/11nDhxIhd79XICAwPRsWNHeHl5QVEUbNiwwWT++vXrERAQAA8PDyiKgpCQEJP50dHR+OSTT1CxYkUUKFAAPj4+GDp0KGJjY/OuE0RERKQaiyzyJkyYgCVLluD69esoUaJElstdvnwZ3bp1w/r161GxYkUMHjwYvXr1ws2bN/Hxxx+jc+fOEJEMr5s2bRreffdd3L17F4MGDcJbb72FwMBANGrUCAcOHMjNrr2w+Ph41KhRAwsXLsxyfpMmTTBr1qxM50dERCAiIgJz5szBmTNnsGrVKmzduhX9+vXLzWYTERGRhVAksypIZTt37kT58uXh6+uLmTNnYuzYsVi5ciXef/99k+Vu3bqFjRs3ok+fPnB2djZOj4+PR/PmzXHs2DH8/vvveOutt4zzQkNDUblyZZQpUwZHjx6Fm5sbACAkJAQNGjRAmTJlcObMGeh0L1b/Pnz4EG5uboiNjYWrq2vOO58JRVHw559/onPnzhnmXbt2DaVLl0ZwcDBq1qz5zN+zdu1avPvuu4iPj4etrW2utFWLBszP2euXDjNHK4iIiJ560drDIkfyWrduDV9f3+cuV7JkSXz88ccmBR4AODs7Y8SIEQCAffv2mcxbuXIlUlJSMH78eGOBBwA1a9ZEz549cf78eezfv98MvbA8hp2BBR4REZH2WWSRZw52dnYAkKGg2bt3LwAgICAgw2vatm0LIGNhqAVRUVGYMmUKBg4cqHZTiIiIKA9odkhnxYoVADIWc6GhoShYsCCKFy+e4TXly5c3LpOVxMREJCYmGn9++PAhgKcXgSQnJwMAdDodbGxskJqaCr1eb1zWMD0lJcXkXEEbGxvodLospwNASkqK8fcbCte005KTk42vTUlJMWnzkydP0KFDB/j7+2P8+PFITk6GoiiwtbWFXq83uUDFMD2rtpurT4Z2G6Tt04tMt7Ozy7Lt5u+THXLiRfuat316SlvbiX1in9gn9in/9OlFaLLIW7JkCbZs2YKWLVvitddeM5kXGxsLT0/PTF9nOK79rCtQZ8yYgS+++CLD9O3bt8PJyQkA4OPjg1q1auHUqVMIDw83LlOxYkVUqlQJR48exb1794zTa9asCV9fXwQGBuLRo0fG6Q0bNjS29fjx48bRyRYtWqBAgQLYvHkz7ty5AwDYv38/atasiSdPnmDPnj3G35GUlIR58+bBwcEB/fr1w44dOwAALi4uaNmyJW7cuGFyZW7RokXRqFEjhIaG4uLFi8bp5u7T9u3bTXbStH1K67XXXsvQJ1tbW3To0AFRUVE4dOiQcXru9akTcsIy+/SUtrYT+8Q+sU/sU/7o0/Hjx/EiLPLCi7SedeFFZjZt2oQ333wTXl5eOHToUIarc+3t7eHp6YmbN29meG1oaCgqVKiAN954Axs3bsz092c2kuft7Y2oqChjkWjubxWKomDt2rXo1OlpsZH228O1a9dQoUIFHD16FHXr1jVON7StQ4cOcHR0xKZNm+Dg4GD83fym9OJ9+nhhzkbyFg3mSB77xD6xT+wT+2S+PkVHR8PDw+O5F15oaiRv8+bN6NatG4oVK4bdu3dnevsVw9UomTEcek17QUZ6Dg4OJsWSgZ2dnXGkzcDGxgY2NjYZls3qwoe00+Pi4hAWFmb8+caNGzh79iwKFy4MHx8fREdHIzw8HBEREQCAK1euwM7ODsWLF0fx4sWNBd7jx4/xyy+/IC4uDnFxcQCefnMwtEun02V6JXFWbc9Jn9JKv66yMz2rtud2n16WNfRJi9uJfWKf2Cf2CchffcqQ90JLWYF//vkHb775JooUKYI9e/agTJkymS5Xvnx5xMXFITIyMsM8w7l4hnPz1HTs2DHUqlULtWrVAgCMGDECtWrVwueffw4A+Ouvv1CrVi106NABANCjRw/UqlUL3333HQDgxIkTOHLkCE6fPo1y5cqhRIkSxn83btxQp1NERESUZzQxkvfPP/+ga9euKFy4MPbs2YNy5cpluWyzZs1w6NAhbN++Hb179zaZt23bNuMyamvevHmmN3I2eP/99595+Pp5ryciIiJts/qRvC1btqBr164oVKgQ9uzZ89xRuL59+8LW1hbTpk0zOWwbEhKCX3/9Ff7+/mjSpEluN5uIiIgoV1nkSN6yZcuMNyQ+ffq0cZrhHndNmjRB//79ceHCBXTp0gWJiYlo3rw5fv311wy/y8/Pz2TEq0KFCpg8eTImTJiAGjVqoGvXrnj06BHWrFkDAFi6dOkLP+2CiIiIyFJZZJG3f/9+/PDDDybTDhw4YPJc2f79+yMyMtJ4pauhSEuvWbNmGQ5rjh8/Hn5+fpg/fz4WL14Me3t7vPrqq5gyZQpq165t3s4QERERqcDib6Fi6fLi2bWkLj67loiILIlVP7uWiIiIiHKGRR4RERGRBrHIIyIiItIgFnlEREREGsQij4iIiEiDWOQRERERaRCLPCIiIiINYpFHREREpEEs8oiIiIg0iEUeERERkQaxyCMiIiLSIBZ5RERERBrEIo+IiIhIg2zVbgC9mAHzc/b6pcPM0QoiIiKyFhzJIyIiItIgFnlEREREGsQij4iIiEiDWOQRERERaRCLPCIiIiINYpFHREREpEEs8oiIiIg0iEUeERERkQaxyCMiIiLSIBZ5RERERBrEIo+IiIhIg1jkEREREWkQizwiIiIiDWKRR0RERKRBLPKIiIiINIhFHhEREZEGscgjIiIi0iAWeUREREQaxCKPiIiISINY5BERERFpEIs8IiIiIg1ikUdERESkQSzyiIiIiDSIRR4RERGRBrHIIyIiItIgFnlEREQW6tGjRxg2bBh8fX1RoEABNGrUCEFBQcb5kydPRqVKleDs7IxChQqhdevWOHLkiIotJkvCIo+IiMhC9e/fHzt27MBPP/2E06dPIyAgAK1bt8atW7cAABUqVMC3336L06dPY//+/fDz80NAQADu3buncsvJErDIIyIiskBPnjzBunXrMHv2bDRt2hTlypXD5MmTUa5cOSxevBgA8M4776B169YoU6YMqlSpgq+//hoPHz7EqVOnVG49WQIWeUREZLGedbgyOTkZo0ePRrVq1eDs7AwvLy/07t0bERERKrfaPFJSUpCamgpHR0eT6QUKFMD+/fszLJ+UlIQlS5bAzc0NNWrUyKtmkgVjkUdERBbrWYcrHz9+jBMnTmDixIk4ceIE1q9fj4sXL+KNN95Qu9lm4eLigoYNG2LKlCmIiIhAamoqfv75Zxw6dAi3b982Lrdp0yYULFgQjo6OmDdvHnbs2IEiRYqo2HKyFIqIiNqNsGYPHz6Em5sbYmNj4erqmms5A+bn7PVLh5mjFfkT1z2ROp48eQIXFxds3LgRHTp0ME6vU6cO2rdvj6lTp2Z4TVBQEF555RVcv34dPj4+edncXHH58mV88MEHCAwMhI2NDWrXro0KFSrg+PHjOH/+PAAgPj4et2/fRlRUFJYuXYrdu3fjyJEj8PT0VLn1lFtetPbgSB4REVmklz1cCQCxsbFQFAXu7u550MLcV7ZsWezbtw9xcXG4ceMGjh49iuTkZJQpU8a4jLOzM8qVK4cGDRpg+fLlsLW1xfLly1VsNVkKFnlERGSRXvRwpUFCQgJGjx6Nnj175uqRFTU4OzujRIkSePDgAbZt24ZOnTpluaxer0diYmIeto4sFYs8IiKyWD/99BNEBCVLloSDgwO++eYb9OzZEzqd6Z+v5ORkdO/eHSJivPJUC7Zt24atW7fi6tWr2LFjB1q0aIFKlSqhb9++iI+Px7hx43D48GFcv34dx48fxwcffIBbt27hrbfeUrvpZAFY5BERkcV6kcOVhgLv+vXr2LFjh6ZG8WJjYzF48GBUqlQJvXv3RpMmTbBt2zbY2dnBxsYGFy5cQNeuXVGhQgV07NgR9+/fx7///osqVaqo3XSyALZqN4CIiOh5nJ2d4ezsbDxcOXv2bAD/FXihoaHYs2cPPDw8VG6peXXv3h3du3fPdJ6joyPWr1+fxy0ia8Iij4iILNa2bdsgIqhYsSLCwsIwcuRI4+HK5ORkdOvWDSdOnMCmTZuQmpqKyMhIAEDhwoVhb2+vcuuJ1MUij4iILFZsbCzGjh2LmzdvonDhwujatSumTZsGOzs7XLt2DX/99RcAoGbNmiav27NnD5o3b573DSayICzyiIjIYj3rcKWfnx94q1eirPHCCyIiIiINYpFHREREpEEs8oiIiIg0iEUeERERkQaxyCMiIiLSIBZ5RERERBrEIo+IiIhIg1jkEREREWkQizwiIiIiDWKRR0RERKRBLPKIiIiINIjPriUiIrJAA+bn7PVLh5mjFWTNOJJHREREpEGaKPL0ej2+/fZb1K5dG05OTnB1dUXTpk3x119/Zbr8w4cPMWLECPj6+sLBwQF+fn4YOXIk4uLi8rjlRERERLnD6g/Xigi6d++OdevWoWzZsujXrx8SExOxceNGdOrUCf/3f/+HIUOGGJePj49Hs2bNEBISgoCAAPTs2RPBwcGYM2cO9u3bh8DAQDg6OqrYIyIiAni4kiinrH4kb926dVi3bh0aN26M06dP4//+7/+wZMkSnD17Fr6+vvjss89w7do14/KzZ89GSEgIRo8ejW3btmHmzJnYtm0bRo8ejaCgIMybN0+9zhARERGZidUXeRs3bgQAjBs3DgUKFDBOL1KkCIYPH47ExESsXLkSwNNRv2XLlqFgwYKYOHGiye+ZOHEiChYsiGXLluVd44mIiIhyidUXeZGRkQCA0qVLZ5hnmLZ7924AQGhoKCIiItC4cWM4OzubLOvs7IzGjRvjypUruHHjRi63moiIiCh3Wf05eUWKFAEAXL16Ff7+/ibzrl69CgC4dOkSgKdFHgCUL18+099Vvnx5bNu2DaGhofD29s50mcTERCQmJhp/fvjwIQAgOTkZycnJAACdTgcbGxukpqZCr9cblzVMT0lJgYgYp9vY2ECn02U5/envtXv+yngGvV6P1NRU48+KosDW1jbL6Vm13bx9+o+t7dNdMSUl5YWm29nZ5WGfcrbuX7Svedunp7S1ndgn7fUpf3/uAUr2O///WVqfrGffs/w+vQirL/Lat2+PNWvWYObMmWjZsqXxoon79+9j/vz5AICYmBgAQGxsLADAzc0t09/l6upqslxmZsyYgS+++CLD9O3bt8PJyQkA4OPjg1q1auHUqVMIDw83LlOxYkVUqlQJR48exb1794zTa9asCV9fXwQGBuLRo0fG6Q0bNoSnpye2b98OoMNz1sSzRUVF4dChQ8afXVxc0LJlS9y4cQMhISHG6UWLFkWjRo0QGhqKixcvGqfnRp/S7qQtWrRAgQIFsHnzZpN2v/baa3jy5An27NljnGZra4sOHTrkYZ86PW/1PpNl9ukpbW0n9klrfcrvn3uAa476D8Di+mQt+56l9+n48eN4EYqkLWOtUEpKCgICArBnzx6UK1cO7dq1Q3JyMjZs2IBixYrh1KlTcHR0xJMnT7B69Wr06tUL48ePx9SpUzP8rvHjx2P69OlYv349unTpkmleZiN53t7eiIqKMhaJufGt4uOFOftG+/1QflPKbp9yuu4XDeZIHvvEPvFz7+W308AFORvJWzqMI3la7VN0dDQ8PDwQGxtrrD0yY/Ujeba2ttiyZQtmzpyJ1atXY8mSJXBzc0OXLl3w2WefoUKFCvD09ATw3wheViN1hkOvWY30AYCDgwMcHBwyTLezs4OdnekHko2NDWxsbDJtc1Z9yUz635sdOp0OOl3GUzCzmp5V23O7Ty8zXa0+vSxr6JMWtxP7pM0+vQxr6ZM5+poVS+uTNe971tCnDMu90FIWzsHBAZMmTcKkSZNMpu/duxcAULduXQD/nYtnODcvveeds0dERERkLaz+6tpn+eWXXwAAPXr0APC0ePPy8sKBAwcQHx9vsmx8fDwOHDiA0qVLZ3nRBREREZG10ESRZzjMmtYff/yBFStWoF69enjzzTcBPD323b9/f8TFxWHKlCkmy0+ZMgVxcXEYMGBAnrSZiIiIKDdp4nBt/fr14e3tDX9/fzg6OuLo0aPYu3cvypQpg7Vr15oczx41ahQ2btyIWbNmITg4GLVr18aJEyewfft21KtXD8OGDVOvI0RERERmoomRvLfffhuRkZFYuXIlvvnmG9y5cwcTJkxAcHAwfH19TZZ1dnbGvn37MGzYMJw/fx5z587FhQsX8Omnn2LXrl0mT80gIiIislaaGMmbPHkyJk+e/MLLu7m5Yd68eXxOLREREWmWJkbyiIiIiMgUizwiIiIiDWKRR0RERKRBLPKIiIiINIhFHhEREZEGscgjIiIi0iAWeUREREQaxCKPiIiISINY5BERERFpEIs8eiF+fn5QFCXDv8GDBwMAmjdvnmHeoEGDVG41kfXje4+IsksTjzWj3BcUFITU1FTjz2fOnEGbNm3w1ltvGacNGDAAX375pfFnJyenPG0jkRbxvUdE2cUij15I0aJFTX6eOXMmypYti2bNmhmnOTk5oXjx4nndNCJN43uPiLKLh2vppSUlJeHnn3/GBx98AEVRjNN/+eUXFClSBFWrVsXYsWPx+PFjFVtJpD187xHRy+BIHr20DRs2ICYmBu+//75x2jvvvANfX194eXnh1KlTGD16NC5evIj169er11AijeF7j4heBos8emnLly9H+/bt4eXlZZw2cOBA4/+rVauGEiVKoFWrVrh8+TLKli2rRjOJNIfvPSJ6Gdk+XBsYGIjw8PBnLnPjxg0EBgZmN4Is0PXr17Fz507079//mcvVr18fABAWFpYXzSLSPL73iOhlZbvIa9GiBVatWvXMZX788Ue0aNEiuxFkgVauXAlPT0906NDhmcuFhIQAAEqUKJEHrSLSPr73iOhlZftwrYg8dxm9Xm9ycjBZN71ej5UrV6JPnz6wtf1v17l8+TJWr16N1157DR4eHjh16hSGDx+Opk2bonr16iq2mEgb+N4jouzI1XPyQkND4ebmlpsRlId27tyJ8PBwfPDBBybT7e3tsXPnTsyfPx/x8fHw9vZG165dMWHCBJVaSqQtfO8RUXa8VJGX/gNmw4YNuHbtWoblUlNTjefjtW/fPkcNJMsREBCQ6Qiut7c39u3bp0KLiPIHvveIKDteqshLew6eoigICQkxnv+RnqIoqFevHubNm5eT9hERERFRNrxUkXf16lUAT8/HK1OmDIYNG4b//e9/GZazsbFBoUKF4OzsbJ5WEhEREdFLeakiz9fX1/j/lStXolatWibTiIiIiMgyZPsWKn369OHVW0REpFl+fn5QFCXDv8GDBwMAEhISMHjwYHh4eKBgwYLo2rUr7ty5o3Krif6T46trjx49iqCgIMTExCA1NTXDfEVRMHHixJzGEBER5amgoCCTv2tnzpxBmzZt8NZbbwEAhg8fjn/++Qdr166Fm5sbhgwZgjfffBMHDhxQq8lEJrJd5EVHR6Nz5844cODAM++ZxyKPiIisUdGiRU1+njlzJsqWLYtmzZohNjYWy5cvx+rVq9GyZUsAT09j8vf3x+HDh9GgQQM1mkxkIttF3ogRI7B//340b94cffr0QalSpUxu0klERKQVSUlJ+PnnnzFixAgoioLjx48jOTkZrVu3Ni5TqVIl+Pj44NChQyzyyCJkuyrbtGkTXnnlFezatYtPtSAiIk3bsGEDYmJi8P777wMAIiMjYW9vD3d3d5PlihUrhsjIyLxvIFEmsn3hxZMnT9C0aVMWeEREpHnLly9H+/bt4eXlpXZTiF5YtkfyatasmenTLoiIiLTk+vXr2LlzJ9avX2+cVrx4cSQlJSEmJsZkNO/OnTsoXry4Cq0kyijbI3mTJk3CX3/9hcOHD5uzPURERBZl5cqV8PT0RIcOHYzT6tSpAzs7O+zatcs47eLFiwgPD0fDhg3VaCZRBtkeyYuMjESHDh3QrFkz9OrVC7Vr14arq2umy/bu3TvbDSQiIlKLXq/HypUr0adPH5OLC93c3NCvXz+MGDEChQsXhqurKz755BM0bNiQF12Qxch2kff+++9DURSICFatWoVVq1ZlOD9PRKAoCos8DRgwP2evXzrMHK0gyl/4vlPfzp07ER4ejg8++CDDvHnz5kGn06Fr165ITExE27ZtsWjRIhVaSZS5bBd5K1euNGc7iIiILE5AQECW94J1dHTEwoULsXDhwjxuFdGLyXaR16dPH3O2g4iIiIjMKNsXXhARERGR5cr2SF54ePgLL+vj45PdGCIiIiLKhmwXeX5+fi90I2RFUZCSkpLdGCIiIiLKhmwXeb179860yIuNjcXJkydx9epVNGvWDH5+fjlpHxERERFlQ7aLvFWrVmU5T0Qwd+5czJ49G8uXL89uBBERERFlU65ceKEoCj777DNUqVIFI0eOzI0IIiIiInqGXL26tm7duti9e3duRhARERFRJnK1yLt8+TIvuiAiIiJSQbbPycuKXq/HrVu3sGrVKmzcuBGtWrUydwQRERERPUe2izydTvfMW6iICAoVKoS5c+dmN4KIiIiIsinbRV7Tpk0zLfJ0Oh0KFSqEevXqoW/fvvD09MxRA4mIiNQwYH7OXr90mDlaQZR92S7y9u7da8ZmENGz3Lp1C6NHj8aWLVvw+PFjlCtXDitXrkTdunWRnJyMCRMmYPPmzbhy5Qrc3NzQunVrzJw5E15eXmo3nYiIVMJn1xJZuAcPHqBx48aws7PDli1bcO7cOcydOxeFChUCADx+/BgnTpzAxIkTceLECaxfvx4XL17EG2+8oXLLiYhITWa58OLAgQMICQnBw4cP4erqipo1a6Jx48bm+NVE+d6sWbPg7e2NlStXGqeVLl3a+H83Nzfs2LHD5DXffvstXnnlFYSHh/PZ0URE+VSOiryDBw+ib9++CAsLA/D0YgvDeXrly5fHypUr0bBhw5y3kigf++uvv9C2bVu89dZb2LdvH0qWLImPP/4YAwYMyPI1sbGxUBQF7u7ueddQIiKyKNku8s6ePYuAgAA8fvwYbdq0QYsWLVCiRAlERkZiz5492L59O9q2bYvDhw+jcuXK5mwzUb5y5coVLF68GCNGjMC4ceMQFBSEoUOHwt7eHn369MmwfEJCAkaPHo2ePXvC1dVVhRYTEZElyHaR9+WXXyIpKQmbN29Gu3btTOaNHj0aW7duxRtvvIEvv/wSa9asyXFDifIrvV6PunXrYvr06QCAWrVq4cyZM/juu+8yFHnJycno3r07RASLFy9Wo7lERGQhsn3hxd69e9GtW7cMBZ5Bu3bt0K1bN+zZsyfbjSMioESJEhlGw/39/REeHm4yzVDgXb9+HTt27OAoHhFRPpftkbzY2FiTk78zU7p0acTGxmY3gogANG7cGBcvXjSZdunSJfj6+hp/NhR4oaGh2LNnDzw8PPK6mUREZGGyXeR5eXnh8OHDz1zmyJEjvE8XUQ4NHz4cjRo1wvTp09G9e3ccPXoUS5YswZIlSwA8LfC6deuGEydOYNOmTUhNTUVkZCQAoHDhwrC3t1ez+UREpJJsH6594403sHfvXkycOBEJCQkm8xISEjBp0iTs2bMHnTp1ynEjifKzevXq4c8//8Svv/6KqlWrYsqUKZg/fz569eoF4OmNkv/66y/cvHkTNWvWRIkSJYz/Dh48qHLriYhILdkeyZs4cSI2bdqE6dOn4/vvv8crr7yCYsWK4c6dOwgKCsK9e/dQpkwZTJw40ZztJcqXXn/9dbz++uuZzvPz84OI5HGLiIjI0mW7yPPw8MDhw4cxatQorFmzBps3bzbOc3R0RN++fTFr1iwULlzYLA0lIiIioheXo5shFylSBCtWrMD333+PCxcuGJ94UalSJdjZ2ZmrjURERET0kl66yJs2bRri4+PxxRdfGAs5Ozs7VKtWzbhMUlISxo8fDxcXF4wZM8Z8rSUiIiKiF/JSF17s3LkTn3/+OTw8PJ45Umdvbw8PDw+MHz+e98kjohyZPHkyFEUx+VepUiUAwLVr1zLMM/xbu3atyi0nIlLXSxV5P/74IwoVKoQhQ4Y8d9nBgwejcOHCJg9VJyLKjipVquD27dvGf/v37wcAeHt7m0y/ffs2vvjiCxQsWBDt27dXudVEROp6qcO1Bw8eROvWreHg4PDcZR0cHNC6dWscOHAg240jIgIAW1tbFC9ePMN0GxubDNP//PNPdO/eHQULFsyr5hERWaSXGsmLiIhAmTJlXnj50qVL4/bt2y/dKCKitEJDQ+Hl5YUyZcqgV69eGR7pZnD8+HGEhISgX79+edxCIu151qkSBocOHULLli3h7OwMV1dXNG3aFE+ePFGpxZTeS43k6XQ6JCcnv/DyycnJ0Omyfb9lIiLUr18fq1atQsWKFY2HY1999VWcOXMGLi4uJssuX74c/v7+aNSokUqtJdKWKlWqYOfOncafbW3/KxsOHTqEdu3aYezYsfi///s/2Nra4uTJk/y7b0Feqsjz8vLCmTNnXnj5M2fOoGTJki/dKCIig7Tn1lWvXh3169eHr68vfv/9d5MRuydPnmD16tW8ATuRGWV1qgTw9JGLQ4cONbmLRsWKFfOqafQCXqrcfvXVV7F7925cu3btucteu3YNu3fvRtOmTbPbtpf2559/ok2bNvDw8ICjoyNKly6Nnj174saNGybLPXz4ECNGjICvry8cHBzg5+eHkSNHIi4uLs/aSkTZ4+7ujgoVKiAsLMxk+h9//IHHjx+jd+/eKrWMSHuyOlXi7t27OHLkCDw9PdGoUSMUK1YMzZo1M14URZbhpUbyBg8ejJUrV6Jbt27YunUrihQpkuly9+/fx1tvvYWUlBR89NFHZmnos4gIBg0ahCVLlqBs2bLo0aMHXFxcEBERgX379uH69evw9vYGAMTHx6NZs2YICQlBQEAAevbsieDgYMyZMwf79u1DYGAgHB0dc73NRC9qwPycvX7pMHO0wnLExcXh8uXLeO+990ymL1++HG+88QaKFi2qUsuItOVZp0pcuXIFwNPz9ubMmYOaNWvixx9/RKtWrXDmzBmUL19e5dYT8JJFXu3atTFs2DDMnz8flStXxqBBg9CiRQuUKlUKwNMHpe/atQtLlizBvXv3MGLECNSuXTtXGp7WN998gyVLluDjjz/GN998AxsbG5P5KSkpxv/Pnj0bISEhGD16NGbOnGmcPmbMGMyaNQvz5s3D2LFjc73NRPRiPvvsM3Ts2BG+vr6IiIjApEmTYGNjg549exqXCQsLQ2BgoMnjFYkoZ551qoS/vz8A4MMPP0Tfvn0BALVq1cKuXbuwYsUKzJgxQ5U2k6mXfuLF3Llz4ejoiK+++grTpk3DtGnTTOaLCGxsbDB27FhMnTrVbA3NypMnT/DFF1+gTJkyWLBgQYYCD/jvRFERwbJly1CwYMEM5+1MnDgRCxcuxLJly1jkEVmQmzdvomfPnrh//z6KFi2KJk2a4PDhwyYjditWrECpUqUQEBCgYkuJtC3tqRItW7YEAFSuXNlkGX9//yyvfqe899JFnqIomD59Ovr164eVK1fi4MGDiIyMBAAUL14cjRs3xvvvv4+yZcuavbGZ2b59Ox48eIC+ffsiNTUVf/31Fy5dugR3d3e0bt0a5cqVMy4bGhqKiIgItG3bFs7Ozia/x9nZGY0bN8a2bdtw48YN4+FdIlLXmjVrnrvM9OnTMX369DxoDVH+lfZUCT8/P3h5eeHixYsmy1y6dIk3IrcgL13kGZQtWzZPRuqe5/jx4wCe3hS1evXquHTpknGeTqfD8OHDMWfOHABPizwAWZ4rUL58eWzbtg2hoaFZFnmJiYlITEw0/vzw4UMAT28XY7i9jE6ng42NDVJTU6HX603aY2Njg5SUFIiIcbqNjQ10Ol2W05/+3qwfI/ci9Ho9UlNTjT8rigJbW9ssp6dve07zDevGtE//MYy2pj20/qzpdnZ2Oe7Ti28n8/Q9u33KwdvUmJ+zfe/5bbeM7aTFPqm776m/nfL35x6g5CgfQI620+jRo9GxY0eULl0a4eHh+PLLL2FjY4Nu3bpBRDBy5EhMmjQJVapUQY0aNfDTTz/hwoULWLt2rQb2vee3Xe0+vYic/fWwAHfv3gUAfP3116hduzaOHj0Kf39/BAcHY+DAgZg7dy7Kli2Ljz76CLGxsQAANze3TH+Xq6srABiXy8yMGTPwxRdfZJi+fft2ODk5AQB8fHxQq1YtnDp1ymTYumLFiqhUqRKOHj2Ke/fuGafXrFkTvr6+CAwMxKNHj4zTGzZsCE9PT2zfvh1AhxdcI5mLiorCoUOHjD+7uLigZcuWuHHjBkJCQozTixYtikaNGiE0NDTdN7ROOco3nCuVtk9pd9IWLVqgQIECGc6peu211/DkyROTZyDb2tqiQ4cOOe7Ti28n8/Q9u30CWuY4Pyf7nvVsJy32Sd19T+3tlN8/9wDXHOUDyNF2CgoKwi+//IKYmBi4urqiUqVKmDJlCoKCgtCwYUMMGzYMISEhGDJkCOLi4uDn54cNGzbA19fX6vc9S/+MMAxwPY8iactYKzRw4EAsXboUBQoUQFhYGLy8vIzzzpw5gxo1aqB06dIICwvD6tWr0atXL4wfPz7TUcjx48dj+vTpWL9+Pbp06ZJpXmYjed7e3oiKijIWibnxreLjhTn7Rvn90Jx9q8hp/qLB1juSZ66+Z7dPH32bs+9iiwZzJM9a+6T2vqf2dsrvn3sDF+RsJG/psJyN5KVtuxbeT1rqU3R0NDw8PBAbG2usPTJj9SN5hlG5unXrmhR4AFC1alWUKVMGYWFhiImJMS6b1Uid4dBrViN9wNNn8mb27F47OzvY2Zl+INjY2DzzQpAXnZ7+92aHTqfL9C7kWU3Pqu3Zlb4PWfXpZaabq08vu51eljn6ZK58c+171rCdtNinl2UNfeLnnnn6mhW+n/JXnzLkvdBSFsxwd213d/dM5xumP3nyxHgunuHcvPSed84eERERkbWw+pG8Fi1aAADOnz+fYV5ycjLCwsLg7OyMokWLonjx4vDy8sKBAwcQHx9vcoVtfHw8Dhw4gNKlS/PKWiIiIrJ6Vj+SV7ZsWQQEBCAsLAzLli0zmTdz5kzExMSgS5cusLW1haIo6N+/P+Li4jBlyhSTZadMmYK4uDgMGDAgL5tPRERElCusfiQPABYtWoRGjRphwIAB2LBhAypVqoTg4GDs3r0bvr6++Oqrr4zLjho1Chs3bsSsWbMQHByM2rVr48SJE9i+fTvq1auHYcOGqdcRIiIiIjOx+pE84Olo3rFjx/D+++/j+PHj+OabbxAaGorBgwfj6NGjKF68uHFZZ2dn7Nu3D8OGDcP58+cxd+5cXLhwAZ9++il27dqFAgUKqNgTIiIiIvPQxEgeAHh7e2PlypUvtKybmxvmzZuHefPm5XKriCinBszP2euXDjNHK4iIrI8mRvKIiIiIyBSLPCIiIiIN0szhWiIiIjKfnJwqwdMkLANH8oiIiIg0iEUeERERkQaxyCMiIiLSIBZ5RERERBrEIo+IiIhIg1jkEREREWkQizwiIiIiDWKRR0RERKRBLPKIiIiINIhFHhEREZEGscgjIiIi0iAWeUREREQaxCKPiIiISINY5BERERFpEIs8IiIiIg1ikUdERESkQSzyiIiIiDSIRR4RERGRBrHIIyIiItIgFnlEREREGsQij4iIiEiDWOQRERERaRCLPCIiIiINYpFHREREpEEs8oiIiIg0iEUeERERkQaxyCMiIiLSIBZ5RERERBrEIo+IiIhIg1jkEREREWkQizwiIiIiDWKRR0RERKRBLPKIiIiINIhFHhEREZEGscgjIiIi0iAWeURERGRxFi9ejOrVq8PV1RWurq5o2LAhtmzZYrLMoUOH0LJlSzg7O8PV1RVNmzbFkydPVGqx5WGRR0RERBanVKlSmDlzJo4fP45jx46hZcuW6NSpE86ePQvgaYHXrl07BAQE4OjRowgKCsKQIUOg07G0MbBVuwFERERE6XXs2NHk52nTpmHx4sU4fPgwqlSpguHDh2Po0KEYM2aMcZmKFSvmdTMtGstdIiIismipqalYs2YN4uPj0bBhQ9y9exdHjhyBp6cnGjVqhGLFiqFZs2bYv3+/2k21KCzyiIiIyCKdPn0aBQsWhIODAwYNGoQ///wTlStXxpUrVwAAkydPxoABA7B161bUrl0brVq1QmhoqMqtthw8XEtEREQWqWLFiggJCUFsbCz++OMP9OnTB/v27YNerwcAfPjhh+jbty8AoFatWti1axdWrFiBGTNmqNlsi8Eij4iIiCySvb09ypUrBwCoU6cOgoKCsGDBAuN5eJUrVzZZ3t/fH+Hh4XneTkvFw7VERERkFfR6PRITE+Hn5wcvLy9cvHjRZP6lS5fg6+urUussD0fyiIiIyOKMHTsW7du3h4+PDx49eoTVq1dj79692LZtGxRFwciRIzFp0iTUqFEDNWvWxA8//IALFy7gjz/+ULvpFoNFHhEREVmcu3fvonfv3rh9+zbc3NxQvXp1bNu2DW3atAEADBs2DAkJCRg+fDiio6NRo0YN7NixA2XLllW55ZaDRR4RERFZnOXLlz93mTFjxpjcJ49M8Zw8IiIiIg1ikUdERESkQSzyiIiIiDSIRR5ZhcWLF6N69epwdXWFq6srGjZsiC1bthjnL1myBM2bN4erqysURUFMTIx6jdUYrnsiIuvEIo+sQqlSpTBz5kwcP34cx44dQ8uWLdGpUyecPXsWAPD48WO0a9cO48aNU7ml2sN1T0RknXh1LVmFjh07mvw8bdo0LF68GIcPH0aVKlUwbNgwAMDevXvzvnEax3VPRGSdOJJHVic1NRVr1qxBfHw8GjZsqHZz8hWueyLKD553mkpCQgIGDx4MDw8PFCxYEF27dsWdO3dUbHHmOJJHVuP06dNo2LAhEhISULBgQfz5558ZnltIuYPrnojy0oD5OXv90mE5e73hNJXy5ctDRPDDDz+gU6dOCA4ORpUqVTB8+HD8888/WLt2Ldzc3DBkyBC8+eabOHDgQM6CzYxFHlmNihUrIiQkBLGxsfjjjz/Qp08f7Nu3j8VGHuC6J6L85FmnqZQqVQrLly/H6tWr0bJlSwDAypUr4e/vj8OHD6NBgwZqNDlTPFxLVsPe3h7lypVDnTp1MGPGDNSoUQMLFixQu1n5Atc9EeVX6U9TOX78OJKTk9G6dWvjMpUqVYKPjw8OHTqkYksz4kgeWS29Xo/ExES1m5Evcd0TkdZldZpKSEgI7O3t4e7ubrJ8sWLFEBkZqU5js8Aij6zC2LFj0b59e/j4+ODRo0dYvXo19u7di23btgEAIiMjERkZibCwMABP35wuLi7w8fFB4cKF1Wy61eO6J6L8KKvTVKwJizyyCnfv3kXv3r1x+/ZtuLm5oXr16ti2bRvatGkDAPjuu+/wxRdfGJdv2rQpgKfnSbz//vtqNFkzuO6JKD8ynKYCAHXq1EFQUBAWLFiAt99+G0lJSYiJiTEZzbtz5w6KFy+uUmszxyKPrMLy5cufOX/y5MmYPHly3jQmn+G6JyL67zSVOnXqwM7ODrt27ULXrl0BABcvXkR4eLjF3VqKRR4RERFRGs86TcXNzQ39+vXDiBEjULhwYbi6uuKTTz5Bw4YNLerKWoBFHhEREZGJ552mMm/ePOh0OnTt2hWJiYlo27YtFi1apHKrM2KRR0RERJTG805TcXR0xMKFC7Fw4cI8alH2WP198hISEjBixAg0bdoUXl5ecHR0RPHixdG4cWOsXLkSycnJGV7z8OFDjBgxAr6+vnBwcICfnx9GjhyJuLg4FXpARJZsxowZqFevHlxcXODp6YnOnTvj4sWLGZY7dOgQWrZsCWdnZ7i6uqJp06Z48uSJCi0mInrK6ou8uLg4LF68GIqioEOHDhgxYgS6dOmCW7du4YMPPsDrr78OvV5vXD4+Ph7NmjXDvHnzUKlSJQwfPhwVK1bEnDlz0LJlSyQkJKjYGyKyNPv27cPgwYNx+PBh7NixA8nJyQgICEB8fLxxmUOHDqFdu3YICAjA0aNHERQUhCFDhkCns/qPWCKyYlZ/uLZw4cKIjY2Fvb29yfSUlBS0adMG27dvx5YtW9ChQwcAwOzZsxESEoLRo0dj5syZxuXHjBmDWbNmYd68eRg7dmye9oGILNfWrVtNfl61ahU8PT1x/Phx4+1ihg8fjqFDh2LMmDHG5SpWrJin7SQiSs/qizydTpehwAMAW1tbdOnSBXv37jXepFVEsGzZMhQsWBATJ040WX7ixIlYuHAhli1bxiLPAuXkYdU5fVB1fqf2g8ItTWxsLAAYb/R89+5dHDlyBL169UKjRo1w+fJlVKpUCdOmTUOTJk3UbCoR5XOaPZag1+uN38CrVq0KAAgNDUVERAQaN24MZ2dnk+WdnZ3RuHFjXLlyBTdu3Mjz9hKR5dPr9Rg2bBgaN25s/Fy5cuUKgKf3CxwwYAC2bt2K2rVro1WrVggNDVWzuUSUz1n9SJ5BUlISpk+fDhHB/fv3sWvXLly4cAF9+/ZFq1atAMD4gVu+fPlMf0f58uWxbds2hIaGwtvbO9NlEhMTTZ7Z+fDhQwBAcnKy8SIPnU4HGxsbpKammpwPaJiekpICETFOt7GxgU6ny3L6099rl4218h+9Xo/U1FTjz4qiwNbWNsvp6due03zDujHt039sbZ/uiikpKZlOB5RsZ6ekpGTapxffTubpu0FWfbWzs8t0e+T0bZqcnMx9D9nf99JOHzJkCM6cOYPAwEDj70lKSgIAfPjhh+jTpw9SU1Mxe/Zs7Ny5E8uWLcOsWbOsdt97me3Ez72M1PzcM8jZdsp+/63/c+/5bVf7/fQiNFXkpX20kqIo+OyzzzBjxgzjNMNhFjc3t0x/h6urq8lymZkxY4ZJjsH27dvh5OQEAPDx8UGtWrVw6tQphIeHG5epWLEiKlWqhKNHj+LevXvG6TVr1oSvry8CAwPx6NEj4/SGDRvC09MT27dvB9DhWd1/rqioKBw6dMj4s4uLC1q2bIkbN24gJCTEOL1o0aJo1KgRQkND011B2ClH+Zs3bwZg2qe0O2mLFi1QoEAB43IGr7322v+/QtE129lHjx7NtE8vvp3M03cDQ5/27NljnGZra4sOHTpkup2AljnO576X/X3PsJ2WLFmCo0eP4ujRo3B0dDQuf+fOHQBA5cqVTfrk5uaG4OBgALDafa9ly5YYM2YM/vzzT9y8eRMODg6oXr06li5dChHJ0KeaNWuiadOmOHjwIMaMGYMGDRpw34M6n3sG2d/3gJz039o/9zaEZrbvZVX0Zpw+7Z2c7XvP207Hjx9//koAoEjaMlYD9Ho9IiIi8Pfff2PcuHGoUqUKNm/eDFdXV6xevRq9evXC+PHjMXXq1AyvHT9+PKZPn47169ejS5cumf7+zEbyvL29ERUVZSwSc+Mb7ccLc/aN8vuhOftWkdP8RYNz9o124ILsf6NdPCRnI3nm6rvBy377++jbnH0XWzQ4Z99o8/u+l5ycjGHDhmHjxo3YsWMHKleubNJ2EUHp0qXxwQcf4IsvvjBOr1evHtq1a4eZM2da7b5na2uLtm3bonv37qhTpw5SUlLw+eef4+zZszh9+jQKFChg0vZvvvkG27dvx9atW7F27Vp06tSJ+x7U+dwDnp4Pm5ORvJz0n597uTuSFx0dDQ8PD8TGxhprj8xoZiTPQKfToVSpUvjoo49QpEgRdO/eHdOmTcOsWbOMI3hZjdQZDr1mNdIHAA4ODnBwcMgw3c7ODnZ2pjuFjY0NbGxsMiz731D8i01P/3uzQ6fTZXo7h6ymZ9X27Erfh6z6ZI6+pmdYr1n16WW308t6mb5mtT3Mlc997+X3vWHDhmH16tXYuHEjChcujMjISABPPycMRc7IkSMxadIk1KhRAzVr1sQPP/yAixcvYt26dQCse9/btm2byc8//PADPD09ERISYry6GABCQkIwd+5cHDt2DCVKlICtrS33PRU/9wysed8zV74173s53U6aK/LSCggIAADs3bsXwH/n4mV1MvTzztkjovxn8eLFAIDmzZubTF+5ciXef/99AE8LwYSEBAwfPhzR0dGoUaMGduzYgbJly+Zxa3Nf+quLAeDx48d45513sHDhQhQvXlytphFROpou8iIiIgD8V5WXL18eXl5eOHDgAOLj402usI2Pj8eBAwdQunTpLC+6IKL850XPaBkzZozJffK0KLOri4Gn9wls1KgROnXK2TlsRGReVn8LlXPnzuHx48cZpj9+/BgjRowA8PSET+Dpse/+/fsjLi4OU6ZMMVl+ypQpiIuLw4ABA3K/0UREVmjw4ME4c+YM1qxZY5z2119/Yffu3Zg/f756DSOiTFn9SN7vv/+Or7/+Gk2aNIGfnx9cXV1x69YtbNmyBffv38err76K4cOHG5cfNWoUNm7ciFmzZiE4OBi1a9fGiRMnsH37dtSrVw/Dhg1TrzNERBZqyJAh2LRpEwIDA1GqVCnj9N27d+Py5ctwd3c3Wb5r16549dVXjafLEFHes/oi7/XXX0dERAQOHjyIQ4cOIS4uDm5ubqhevTp69OiBDz74wOQERWdnZ+zbtw+TJ0/GunXrsGfPHpQoUQKffvopJk2aZHK1GBFRfici+OSTT/Dnn39i7969KF26tMn8MWPGoH///ibTqlWrhnnz5qFjx4552VQiSsfqi7y6deuibt26L/UaNzc3zJs3D/PmzculVhERacPgwYONVxe7uLhkuLq4ePHimV5s4ePjk6EgJKK8ZfXn5BERUe5ZvHgxYmNj0bx5c5QoUcL477ffflO7aUT0HFY/kkdElJsGzM/Z65cOM0cr1JOd++Vr7B77RFaLI3lEREREGsQij4iIiEiDWOQRERERaRCLPCIiIiINYpFHREREpEG8upaIiDKV368sJrJ2HMkjIiIi0iAWeUREREQaxCKPiIiISINY5BERERFpEIs8IiIiIg1ikUdERESkQSzyiIiIiDSIRR4RERGRBrHIIyIiItIgFnlEREREGsQij4iIiEiDWOQRERERaRCLPCIiIiINYpFHREREpEEs8oiIiIg0iEUeERERkQaxyCMiIiLSIBZ5RERERBrEIo+IiIhIg1jkEREREWkQizwiIiIiDWKRR0RERKRBLPKIiIiINIhFHhEREZEGscgjIiIi0iAWeUREREQaxCKPiIiISINY5BERERFpEIs8IiIiIg1ikUdERESkQSzyiIiIiDSIRR4RERGRBrHIIyIiItIgFnlEREREGsQij4iIiEiDWOQRERERaRCLPCIiIiINYpFHREREpEEs8oiIiIg0iEUeERERkQaxyCMiIiLSIBZ5RERERBrEIo+IiIhIg1jkEREREWkQizwiIiIiDWKRR0RERKRBLPKIiIiINIhFHhEREZEGscgjIiIi0iAWeUREREQaxCKPiIiISINY5BERERFpEIs8IiIiIg1ikUdERESkQSzyiIiIiDSIRR4RERGRBrHIIyIiItKgfF3kBQUF4bXXXoO7uzucnZ3RoEED/P7772o3i4iIiCjHbNVugFr27NmDtm3bwtHRET169ICLiwvWrVuHt99+Gzdu3MCnn36qdhOJiIiIsi1fjuSlpKRgwIAB0Ol0CAwMxJIlSzB37lycPHkSFSpUwLhx43D9+nW1m0lERESUbfmyyNu9ezcuX76Md955BzVr1jROd3Nzw7hx45CUlIQffvhBvQYSERER5VC+LPL27t0LAAgICMgwr23btgCAffv25WWTiIiIiMwqX56TFxoaCgAoX758hnnFixdHwYIFjcukl5iYiMTEROPPsbGxAIDo6GgkJycDAHQ6HWxsbJCamgq9Xm9c1jA9JSUFImKcbmNjA51Ol+X05ORkJCXY5aDHQEyMHqmpqcafFUWBra0t9PrMp6dve07z799/um7S9iktW9unu2JKSkqm05MSlGxnR0enZNqnF91O5uq7QVZ9tbOzy3R7JCXk7G16/34y9z2os+8BwMOH4L7Hfc/q9r2n+dnvP/e9nO17z9tO0dHRAGDS/swo8rwlNCggIAA7duxAaGgoypUrl2F+yZIlERcXZyzg0po8eTK++OKLvGgmERERUZZu3LiBUqVKZTk/X47k5cTYsWMxYsQI4896vR7R0dHw8PCAouTsW1d2PXz4EN7e3rhx4wZcXV2Zn0+ymZ+/8/Nz35mfv/Pzc98NRASPHj2Cl5fXM5fLl0Wem5sbAGQ6Ugc83YCFChXKdJ6DgwMcHBxMprm7u5u1fdnl6uqq2g6X3/Pzc9+Zz32P+czPb9mWkG+oZZ4lX154YTgXL7Pz7iIjIxEXF5fp+XpERERE1iJfFnnNmjUDAGzfvj3DvG3btpksQ0RERGSN8mWR16pVK5QpUwarV69GSEiIcXpsbCymT58Oe3t79O7dW70GviQHBwdMmjQpw2Fk5ms7m/n5Oz8/9535+Ts/P/f9ZeXLq2uBrB9rdv36dcyZM4ePNSMiIiKrlm+LPAA4evQoJk2ahIMHDyI5ORnVqlXDiBEj8Pbbb6vdNCIiIqIcyddFHhEREZFW5ctz8oiIiIi0jkUeERERkQaxyCMiIiLSIBZ5lKvUPuWT+erl5+e+Mz9/5+fnvjNf/fy0eOEFERHlCr1eD52OYwn5UX7f9pbS/3z57FotExEoioKkpCScPHkSsbGx8PPzAwAUKlQIHh4eedKOmJgY7N+/H/Hx8fD09ISNjQ18fX3h6+vL/Dxw/fp1bN++HQkJCShQoABcXFxQtWpVVKlSRdPZQP5e95aQHxwcjE2bNiEhIQEAULRoUTRs2BD169fPk3w1t7/a617tfLW3fX7vf6aENCUxMVE2b94spUuXloIFC4qiKGJrayuVKlWSXr16yXfffSenTp2SxMREERFJTU01a35CQoL8+uuvUqhQIVEURRRFEZ1OJ56entK0aVMZO3as7Ny5U2JiYkRERK/XM9+M4uPjZeHChWJvb2/MN+wDfn5+0rNnT/nll18kMjLSrLlqZ4vk73VvCfmPHj2SqVOnGnMLFChg/L+NjY00atRI5s2bJ1evXs2VfDW3v9rrXu18tbd9fu//s/BwrcasXLkSn332GVxcXNC1a1ckJibi8ePHCA0NxenTpxEfH48aNWqgf//+GDRokNnzv//+e3z66acoX748evXqhdTUVCQmJuLs2bPYv38/bt++jVKlSqFXr1747LPPzD6ymN/z/+///g8jR45E48aN0bdvXyiKgpSUFAQHB2Pz5s0ICwuDg4MDunTpgs8++wy1a9fWRDaQv9e9JeTPmzcPo0aNQseOHfHhhx/C0dERAHD48GGsWbMGJ0+eBAA0bNgQn376Kd58802z5qu5/dVe92rnq73t83v/nynPy0rKVRUrVpRGjRpJSEiIcVpcXJxcvnxZtmzZIqNGjZIKFSqIoijSvHlzk+XMoXz58tKiRQs5f/68cVpiYqLExMTI2bNnZeHChdKkSRNRFEWqVq0q+/btY74ZlStXTtq2bSuXL182TjOMWDx69Eg2bdokb775pjg4OIivr69s2LBBE9ki+XvdW0p+hw4dJDw8PNP5Z86ckUGDBombm5sUKVJEli9fbtbRNDW3vyWse7Xz1dz2+b3/z8IiT0POnDkjOp1OZs2aJSIiKSkpGXakR48eyd69e6VLly6iKIr06tVLkpOTzbLDnTt3TmxtbWX69OlZ5icnJ8vZs2dlxIgRoiiKNGvWTB4+fJjjbOaLXLhwQRwcHGTSpEnG/Mzcu3dP/u///k8cHR2lfPnyEhERYdXZIvl73VtCfmhoqDg5OcmYMWMy5KffFps2bRIvLy8pVKiQnD171iz5am5/tde92vlqb/v83v/nUf/SDzKba9euwcnJCba2T6+n0ev1UBQFwH+XdBcsWBDNmjXD+vXr8b///Q+rV6/Gvn37jMvlxN27d+Hk5ISkpCTjtPS/19bWFpUrV8bcuXMxe/ZsBAYGYufOnTnOZj4QFxcHZ2dnPHz4EABgY2OT6XJFihTBkCFDsGzZMoSFhWHLli1WnQ3k73VvCfkiAhcXF9y5cydDvo2Njcm26NChA1atWoWYmBhNbH+1173a+Wpv+/ze/xdpIGnE3bt3pXjx4lK/fn3jycUiTy+uSPttIikpSUREjh49Kk5OTjJ+/Hiz5D98+FD8/f3Fz89Pzpw5Y5ye/ttMcnKyiIhcvHhR3NzcZOjQocw3gydPnkjjxo3FxcVFtm/fbpKf9gIbwzfNW7duSdGiRaVv375WnS2Sv9e9JeQnJydLhw4dRFEU+eGHH+TJkyfPzI+OjpZSpUrJW2+9ZZZ8Nbe/2ute7Xy1t31+7//zcCRPQ4oUKYJu3brh6NGjeP/99xESEgIA0Ol0xm8Tqampxnv36PV6FCxYEKmpqWbJd3FxQa9evXD9+nUMHjwY//77LwDTbzMpKSnG/NjYWDg7O8POzo75ZuDo6Ij+/fsjLi4On376KdauXWvM1+l0EBHo9XrjN81bt27B0dERLi4uVp0N5O91bwn5tra2GDp0KHQ6HcaNG4dFixYhPj7emG9gyA8LC4ONjQ08PT3Nkq/m9ld73audr/a2z+/9f648KSUpz8TExMg777wjiqKIu7u7fPzxx7Jp0ya5e/duhmXHjx8viqLIoUOHzJav1+vl888/N14+3qFDB1m1apXcvHkzw7KGc2OYb758EZEVK1ZIkSJFRFEUqVy5snz11Vdy5coV43zDSO6gQYNEp9OZNV/N7Py+7i0hf/v27VK9enVRFEU8PT3l008/lVOnTklqaqo8efJE4uLiRESkd+/eYmNjI4cPHzZbttrbX+11r3a+mttehP3PCos8DTEMDT948EBmzZolXl5eoiiKuLm5yauvviqDBg2SZcuWyerVq+Xtt9+WAgUKSNu2bc2Wn/ZqphUrVkjFihWNH7je3t7y2muvyYwZM2Tq1KnSsmVLsbGxkc6dO5st39D//JpvWP8JCQmyceNGadmypck9o2rWrClDhw6V/v37S7Vq1YwX3pgrW6/XS0JCgmzYsEFatGiRZ9kilrHu1ey/JeSnpKRISkqKBAYGSp8+fcTZ2dmYX7ZsWXnrrbekXbt2UqpUKVEURQYMGGC2fDW3v5rvO0O+mtve0IaUlBT5999/5f3338/Tba92/9Xe95+HRZ6GpL+a7ObNm7Jo0SIJCAgw3hg57b8PPvhATp06latt2rx5s7zzzjvi5uZmkl2wYEEZOXKkhIaG5mr+pk2bpGfPnuLq6pov80NCQuR///uflC1bVuzt7Y036fTx8ZGZM2ea7QqzzJw4cUI++eQTKVOmTJ5ni6i/7tXuv9r558+fl+nTp0vLli2lbNmyUqpUKbG3t5e6devK999/L7Gxsbmar+b2V/N9J6L+tr948aLMnDlTWrVqpcq2V7v/au/7afFmyBoiIkhJSclwnklcXBzu37+PM2fO4MyZM/Dy8kL58uXRoEGDXGtH2nMggKfnAh4+fBiXL1+Gn58fPDw8zP6omfj4eNjb28POzi7DcwPzQ35aqampGa4yO3nyJO7evYsyZcrAzs4OPj4+Zsu7e/cuChYsCEdHR8TGxsLNzc2k/yEhIbh3716uZAPqr3u1+692/pUrV4zn9yYlJaFUqVIm+9+lS5eQmJgIHx8f6PV6FCpUyKz5am//tFl5+b4D1N/2aWX2vNawsDA8efIk17a92v1Xe99/HhZ5GvDgwQMsWrQI4eHhCA8Ph7u7O1q2bIlGjRqhXLlycHBwyPR1mX0gZZfhdi2Z3Yolqwc1m+sBzhEREZg5cyauXLmCsLAw+Pj4oGHDhnjllVfg7++PEiVKoECBAprNN/yuzNa/Xq+HiGS6neX/P+c4Jy5duoTJkyfj3LlzuHr1KipUqIBq1aqhTp06qF69OipVqoSiRYvmSjag/rpXu/9q5uv1egQHB2PcuHE4fvw4Hjx4gDJlyqB06dKoUaMG6tevj3r16uXqM2PV3v5qve8A9fc94OnfEEVRMqxLrfffEvb9F5ZnY4aUK3bt2iVNmzY1HoawsbExeX5e+/bt5bfffsu1/Pv372eYltXzcNPeysVwK4Oc2rRpk9SsWVMURRFfX18pXLiwuLu7i42Njdjb28srr7wic+bMybSdWsi/fft2hmmZ3QhWRDK9jU5O/PHHH1KmTBlRFEXq1KkjVapUkapVq4q7u7vodDopW7asDB06VI4fP57jrMyove7V7r/a+b/88osUL15cnJ2dpW3btvL6669L27Ztxdvb23gucKdOnWT9+vW5kq/m9lfzfSei/rbP7MkOL9J/c1G7/2rv+y+DRZ6Vq1+/vnh6eso333wj165dk/v378vmzZtl0qRJ0rp1a+O5eDVr1pTNmzdnuGdeTnXv3l0+/PBD2bBhQ4YPPr1en2XBZy61atUSPz8/+emnn+Tx48fy+PFjOXjwoCxdulT69+8vZcuWFUVRxM/PT3788UdJSEgwa//Vzn/11VclICBAli5dKteuXTOZl9vrv1q1auLv7y9///23iDwt3M+dOydbt26VKVOmSOPGjcXOzk6KFi0qc+fONV5dZi5qr3u1+692vr+/v9SqVUv2799vzI+IiJCzZ8/KTz/9JF27dhU3NzcpWLCgjBo1yuTeneag5vZX830nov62L1++vJQvX16mTp0qFy5cMJlnuBAh/TRzfbEXUb//au/7L4NFnhU7duyYKIois2fPznT+vXv3ZMOGDcZHmJUrV8542bY5PoSOHz8uiqKIvb29FCxYUJo3by6TJ0+WPXv2ZHhckOEbbFBQkHzwwQcSGBhotvy5c+eKSMZvjA8fPpT9+/fL8OHDRafTibOzs2zcuFFEzNt/tfJPnDhhckK5n5+f9OvXT9atW5dh9MKw/vfv3y/t27eXLVu25Cg7ODhYFEWRefPmiUjG/iQkJMj58+dl/vz5xqu8Fy9eLCLm+Wav9rpXu/9q54eEhIhOp5P58+dnmq/X6+XevXuyfv16adiwoSiKImPHjs1xroGa21/N952IZWz7tP23sbGR1q1by5IlS+TOnTsmyyYmJorI0/63aNFCVq9eneN8S+i/mvv+y2KRZ8XmzJljcpdvw3B5Zh9i69atk4IFC0q1atXkwYMHZsmfNm2a8Srdbt26iYuLiyiKIsWKFZPOnTvLggUL5MSJEybf4GbNmiWKosiff/6Z4/xvv/1WnJycZNOmTSLy35stszdyYGCg+Pn5SfHixc12ZZXa+YZ1+emnn8rgwYPFw8PD5LYBo0aNkr1795ocIpo9e7YoiiK//vprjrKXL18uDg4O8scff4jIs/t+6tQpqVevnjg4OEhYWFiOcg3UXvdq91/t/DVr1oidnZ38+OOPJvmZCQ0NlXbt2omiKBISEmKWfDW3v5rvOxH1t/28efNEURSZNGmSfPnll+Lj42Psf6FCheSdd96RDRs2SEJCgvE1hv6vWbMmx/lq91/tff9lscizYuvWrRNFUWTZsmXGaWl3dMOwuWHayJEjxdHRUfbt22eW/IEDB4qiKMZbEQQHB8ucOXOkSZMmYmtraxw97NOnj6xevVqOHj0qAQEB4uLiYpb8HTt2iI2NjXzxxRfGaekPR6f9ec6cOWJra2sc4rf2/MGDB4uiKHL9+nURefq4nN9++03eeOMNsbOzE0VRxNHRUZo1ayZz5syRvXv3SkBAgLi7u+c4+/Dhw+Lk5CQfffSRcVr6vhvuXyXy9BwWRVHkl19+yXG2iPrrXu3+q51/5swZcXd3l27duhkPhaV/jJOhDSIie/bsMRlRySk1t7+a7zsR9bf98OHDRVEUk/PyAgMDpW/fvsYv+obzJEeMGCH//POPBAQEiJubm1ny1e6/2vv+y2KRZ8WuXLkizs7OUq1aNTlw4ECG+YadzLDz/fXXX+Lg4CDff/99jrNjY2Old+/eUrJkSeOQvMGDBw8kMDBQRo8eLf7+/qIoitjZ2UmlSpVEURTp169fjvNFRO7cuSOlSpUSLy8v+eeffzLMT9//bdu2ibOzs3GY3Zrz4+LiZPDgweLl5SUPHjzI8AETHh4u33zzjdSvX9/4oWsYcTDH+o+NjZVatWqJo6OjrFy5MsN8w4euoV179uwRNzc3mTFjRo6zRdTf9mr3X+38hIQEef3110VRFJk6dWqG+emPKvz7779SuHBhmTx5slny1dr+ar/vRNTd9o8fP5ZRo0ZJiRIlJCIiIsOFJMnJyfL7778bR6/S/uvfv3+O80W4778sFnlWbvny5aIoTx9hNn36dDl58qTEx8ebLGP4wFuwYIEoiiLHjh3LcW5SUpKsXr1avvrqqyxPak1JSZGIiAj566+/pH///uLu7i6KokhQUFCO8w192rJli/Hu4gMHDpTt27dLVFRUpst+/fXXoiiKHD161OrzU1JSZNeuXbJq1aoM6z/9YYtTp07JxIkTjY/8yen2N/z+48ePS4UKFURRFGnTpo38/PPPmT5CSuS/wzVHjhzJUXbafLW3vdr9Vzv/2rVr0rp1a1EURcqXLy9ff/11lofEDKd2WPv2V/N9lzZDrW0v8nQka/PmzSb9NzzxIa179+7JwoULpWTJkprpv9r7fnawyLNyCQkJsmjRIvH29hZbW1upXbu2jBs3TjZs2CDBwcHy6NEjERFZv369VKxYUapWrWrW/PRv7KyEhoZK1apVxdfX12zZhiu2fv/9d+OIobe3t/Tq1Uu++eYb2blzp9y/f19iY2Nl2bJl4u3tLbVq1dJMvsizzwdJe5VbVFSU1K1bV3x8fMyWq9frZefOndKgQQPjIarGjRvLZ599Jr///ruEh4fLxYsXZfbs2eLh4SGvvPKKWbJF1F/3avdf7XzDH7tjx45Jt27djKM13t7e8vbbb8uiRYvk5MmTsm3bNhk7dqw4OTnJq6++atZ8tbf/s9qWW+87Q7aa217k2RcwpKSkGEf4EhISpGHDhprqf9p9v2vXrnm+778sFnkaERQUJMOHD5cKFSqIjY2NODs7S4UKFaR06dJSpUoV4/lx69atM0te2uHoZ33gGeYZzov4/PPPzZKf3r1792T+/PnSpEkT4yNsnJ2dpUCBAlKiRAlRFEVq1aqV6aEdc7h7967Mnz9fGjdunCf5ac85eZH1/+OPP+bq+v/zzz+lS5cuGR5fZ1gXzZs3l927d+dKdl6v+8yo2X+Rp1/iOnfurFr+iRMn5MMPPxRPT88Mh+kURZFOnTrl2gPZ83L7W9r7TiRvt33a/j/rC75hmZUrV2qq/5k5fvy4DBw4UIoWLZrn+/6L4BMvrJBkccfu6OhonDt3DidPnsSpU6dw9uxZXLhwAT4+PqhRowbGjx+PcuXK5Vp+amoqAGS4y7mIYNq0afj8888RFhaGMmXK5LgNaRnuXp+UlISbN2/i/PnzCAkJwdGjRxEaGory5cujQoUKGDFiBEqUKGG2vPQeP36MiIgIXLhwASdPnszz/Kzuvg8Ac+bMwahRo8y+/tM+NSUuLg7Xrl1DcHAw9uzZg8jISJQuXRp+fn4YMGAA3N3dc5yn9rpPz1L6Dzx9tNfVq1dx4sQJ7N27N1fy00tNTYVOpzPuc/Hx8Th69Ch27tyJBw8ewMfHB15eXujevTscHR1znKfm9lf7faf2tn9Wfla+/fZbDB06FKGhoShbtmyu5edl/7P6+xcfH4/Dhw9j165diImJMfu+n10s8qzU1atXkZKSgqtXr8LNzQ116tSBra2tcf6DBw9QsGBBKIqCBw8eZPp4F3Plu7u7o06dOhmeVWv48Nfr9Th79ixCQ0Px5ptvmrUdWUn7RoyPj4ezs7NZf39ISAhiY2Nx5coVeHt749VXXzV5fFxycrLxGcJ5kd+0aVPY29sb56f/43v37l1cuXIlx88rNnxcZPYhl5ns/GF4HjXXvSX0f9++fbh27Rpu3ryJihUrom7duihevHimf0jMnf+sgiavqLn91XrfGai57bPKL1asmPHRcXq9HgBMcsPDw832vFg1+5+UlITNmzfj1KlTiIiIQLVq1VClShWUKlUKxYsXR8GCBc2WZVYqjSBSNkVERMjUqVOlVKlSxnMR7O3txc/PT/r372+WmwxnN3/gwIGZXuWbm553boiBue5AHxoaKiNGjDCe8G34Z29vnyePsXlWfufOnc1y/8EXldW6T01NNa771NRUzaz79PK6/yEhIdKnT58Mh4NsbW2ladOmsmDBArl169YLtdEcsnp6Tto+Z3ZriexSc/ur/b5Te9s/L/+bb77JkG9Oavf/0KFD8sYbb2TIt7GxkapVq8pnn32W4W9fbr73XgZH8qzMu+++i9WrV6Nu3bpo0KABXFxcEBgYiKNHjyI5ORkA8Oqrr2Lw4MF4/fXXjd+wzPXN+0XzhwwZYsw35zeqv//+G35+fihTpkyGb+hixgdvZ+XNN9/E33//jTZt2qBVq1ZwdHREYGAgQkJCEBoaCgDw9vbGqFGj0KtXL7i7u5u1/y+aP3r0aLzzzjtmzV+8eDHKli2LWrVqZRgZzg/rXu3+t2/fHoGBgejWrRu6dOmCpKQkBAUF4dSpUzhx4gTu37+PQoUKYciQIfj4449RrFgxs/Z//PjxqFChAlq0aJFhZCY3Ro3SU3P7q/m+A9Tf9vk9v0WLFjh16hT69euH7t27IyYmBmfPnsW5c+dw+PBhnDt3Do6Ojnj33Xcxbtw4eHt758l74oWoWmLSSzl69KjY2NjIkCFDRMR0pCoyMlIWL14sr7zyiiiKIoULF5YlS5ZoLl9RFGncuLGMGjVK/vnnH7l27VqG+/SlbdvNmzfl0KFDJndfz64jR46IoigycuTIDPOioqJk7dq18vbbbxu/5Y0fP96sz7BUM9+w7v39/Y1XkB07dizD4+sMVz2KPL2P45YtWzLc0ic71F73avffkD9x4sQM82JjY2XXrl0ycuRIKV68uCiKIj179jTbk21Enl7YpSiKFC9eXBo0aCCjR4+WrVu3ZnrLEsOVlefPn5dff/1VHj16lONRDTW3v6Xse2pte+Y/zZ82bVqGefHx8RIcHCzffPON8RFm9erVk8uXL5stP6dY5FmR4cOHS6lSpYz32zFc4Zr+A2Xr1q3GYmvp0qWayR8xYoTxUnU7OzspWLCgtGjRQqZPny779u2T27dvZ2jL3LlzpXTp0ma5N9+oUaOkePHiJs//TftEEYPg4GDp0KGDKMrTR/+Yi5r5I0eOFEVRpGrVquLq6iq2trbi7+8vH374ofz8889y/vz5DMX2rFmzpECBAmY5hUDtda92/ydMmCBFihSRgwcPish/9yVL3/9Lly4ZD2v179/fbMXGmDFjRFEUadSokfEK2kKFCknbtm1l5syZcvDgQXn8+LHJa6ZOnSqKosjWrVtznK/m9ld731N72+f3/ClTpoibm5vxfZzVKQjh4eEycuRIsbGxkTfeeMMsAwvmwCLPinz44YdSqFAh4+N00o6kpR1BEHn6mJmiRYvKK6+8YrxXnrXnv/baa+Lk5CSbN2+WVatWSc+ePY3PTSxWrJi8+eab8t1330lQUJDEx8dLVFSUtGrVShwcHMyS/9lnn4mzs7OcPn1aRMSkv2nvjSXy9Bwef39/qVixokRHR1t9fpcuXcTBwUEOHToke/fuldGjR0vt2rXFzs5OnJycpH79+jJmzBjZuHGjREZGyr179yQgIECcnZ1znC2i/rpXu/9ffvmlODg4GP/QJCUlZXiEl0F8fLw0b95cihUrZrbzpN5++22xs7OTixcvyvXr12XhwoXSpk0b420qvL29pUePHrJ48WIJDQ2Vu3fvSvv27cXV1dUs+Wpuf7X3PbW3fX7PX7Bggdjb28vGjRszzU9fbPbq1UucnJyMj/tUG4s8K2K459J33333Qoc/xo8fL25ubma707aa+bdu3ZL69etL5cqVjdPu3bsngYGB8tVXX8lrr70mRYoUEZ1OJ2XKlJGPP/5Yxo4dK/b29mZ7nNBff/1l/Jb+Ihd8zJo1SwoWLCg7d+606vzIyEhp2rSplClTxjgtPj5eLl26JGvXrpWBAwdKuXLljKM7HTp0kH79+omNjY0m1r0l9H/v3r2iKIoMGDAgQ//T/mw4VLpo0SJxcnIyywUB9+7dkzZt2kjJkiVNpj98+FCCgoLkyy+/lLp16xoPV1atWlU6duwoimK+R3mpuf3Vft+rue2Z//QekIqiSLt27bJ8mlTa/B9++EGcnJzM9qzcnGKRZ0UiIyPF399fdDqdzJo1S27fvp3pcoYPm6lTp4q9vb2cO3fO6vNv3rwpTZo0ke7du2e4Cader5fw8HD5559/ZNy4cdKoUSNxcnISe3t7URTzPEZN5OkfdsOjbD788EMJDg7O9HxAwzf92bNni42NjXEEwFrz7969Kz179pQBAwZkeFaliEhMTIyEhITIkiVLpFu3blKsWDGxtbUVRTHPo4xE1F33avffcAPavn37iqI8fYzT1q1bMz3vyPDemDNnjuh0Ojl58mSO82NiYmTUqFEycuTITNe5Xq+Xe/fuyY4dO2To0KFStmxZ0el0mtn+amarve3ze77hd06YMMF4Tu6qVasyPEIt7cMB5s2bJ4qiSHBwcI7zzYFFnpXZvn27VKxYUWxtbSUgIEB+++03uX//voiYDltfvnxZ2rRpI6VLl9ZMfkJCgly+fNn47Snt3dcNHj9+LNeuXZNvv/1W3NzcTEZfzOHw4cPG8w3r1Kkjs2fPlhMnTkhUVJTJOUnnzp2TZs2aaSY/KSlJwsPDTdZ9Zss8evRI1q9fL56enprpu4hl9P/cuXPGB7/7+vrKkCFDZMOGDXL+/HmTP3rHjx+XBg0aSLly5cyWnZycLJGRkc8cyTLMO3TokPj4+Jj9s0fN7a/2+17Nbc98kRs3bhgLTScnJ+nYsaMsWLBA/v33X7lz545xuf3790u1atWkYsWKZs3PCd5CxQqdOHECX3/9NdavX4+EhAR4eXmhbdu2qFu3Luzs7JCSkoKff/4ZQUFB+OqrrzB06FCrz5fn3KIi/fx169bhrbfewsSJE/HFF1/kOD+t+/fv4+uvv8bq1atx/fp1FC5cGPXr10e1atVgb28PGxsb/P7777h+/TrmzJmDQYMGWXX+89Z9emvXrkWPHj0wYcIETax7S+o/ACxduhQrVqzA8ePHYW9vj0qVKqFcuXJwcHBAgQIF8NdffyExMRFfffUVPvjgA7PnZ8Wwnn777Tf06tUL48eP18T2t4RsA7W3fX7P37lzJxYuXIjdu3cjLi4OXl5eKFmyJFxcXODo6Ii9e/fCzc0Ns2bNQq9evcyeny0qFpiUA1FRUfL777/Lu+++K35+fmJnZ2dyk0YnJydZvHixWW7fYIn5z5KSkiKDBg0SRVHk6tWrZv3dhtGKR48eye7du2XcuHHSrFkzKVGihMk6KFq0qKxZs0aePHmiqfznSU1NlY8++kiT6/5F5Gb/DYeOEhMT5fTp0/L999/Le++9J9WqVTNeAFGwYEEpV66cbN26NdNDy7ktNTVVPv74Y81tf7X3PbW3PfP/u5o3IiJCtm7dKuPHj5cWLVoYn5nr5+cn9evXl4MHD5pcnKM2juRpQGhoqPFxO6mpqbCzs0Pr1q3N9igZS89PLyYmBjNnzsSNGzfwyy+/5HrerVu3cPnyZaSmpiI2NhZ2dnZo0qQJ3Nzccj3bEvLTio+Px4oVKxAWFoYFCxbkep4l9R3I+/5HR0cjKioKtra2uHXrFhwdHVGrVi3Y2trmyQ2a00tMTMTmzZtx9uxZTJgwIdfz1Nz+au97am/7/J6fkJCA5ORk6HQ6XL58GS4uLihdujSAvLk5+otikWel5On5lKrdUVvt/OdJSUlBTEwMihQpkmsZat/RXO38rKSmpiI+Ph6urq65lmGpfQfypv+W9EckPRFBYmJirj6UXc3tr/a+p/a2z+/5z2Np7WORpwGGTagoiiofQGrnqy3tm1qt9a9mvpryc9/Ts7Q/LnlBze1vSfue2ts+v+dbMhZ5RERERBqUf7/2EhEREWkYizwLZxho1ev1mU5nPmld2m1tOBc0P+Xnd2quf257y6HX6zP8HaDnY5Fn4RRFQWJiInQ6HZKTk03Of2M+aVlSUhLi4uKg1+tx//596PV6KIpi3Pa5/QdX7fz8Ts31z22vrujoaNy/fx/Xrl3DlStXkJKSAp1OZzzvkev/xfGcPAu2atUq7Nu3D0FBQfDw8ED16tVRtWpVVKtWDRUrVoSHhweA3DvpNL/np6amQlEU1U6oVjNfzezk5GQsXLgQ//zzD4KDg+Hl5YWyZcuiUqVKqFu3Ll555RV4e3trMt+wL6f/o5ZX1M4H1F3/3PbqbvuYmBjMnz8fv//+O8LCwlCiRAl4enqiXLlyaNKkCVq1aoVKlSrlebusWo7uske5IiEhQQYMGCCKokiRIkWkSJEiUrx4cXFxcRGdTid+fn7Sr18/2bFjB/NzQdrHsxmkvRlmblMzX+2+P3nyRHr06GG8uWj16tWlbt26UrJkSVEURVxcXKRNmzaydOnSTJ9fae35ma3/5OTkTKfnBrXz1Vz/3Pbqb/sOHTqIoihSs2ZN6dChg3Tp0kUqVapkvNl0xYoVZcKECXLhwgURyfzxgtmVnJws4eHhZvt9loJFngVatmyZODo6yvvvvy/Xr1+XxMRECQ4Olk2bNsnUqVOlefPmUqBAAXFzc5NPP/1U7t27JyLm2+Hze/7SpUulWLFiMnnyZDl79qzJPL1eb7z7elrm/CBUM1/tvi9ZskQcHR3lf//7nzx58kSSkpLk6tWrEhISIj///LP06NFDChcuLAUKFJB3331Xrl27ZmybFvLnz58viqLIRx99JEFBQSbzUlNTJTk5OcPzcx89eiRxcXGayFdz/XPbq5v/3XffiaOjo0ycOFFEnj4L+sGDBxIVFSX79++XYcOGSalSpURRFGnTpo2cPn3aLLkGCxYsEEVRpEePHvLHH39IdHR0lssa+h8ZGSnh4eF5VghnB4s8C1S/fn1p2rSp8UMkrcTERAkLC5NVq1ZJgwYNRFEU6dmzJ/PNqFGjRiaPaGvRooUsXrxYIiIiTJYzFDypqakyadIkmThxolkeZ6Nmvtp9b9iwoTRr1izTba/X6yUmJkZ2794tb7/9tiiKIg0aNJCHDx/mONdS8l999VWT9e/n5yeTJ0/O8Igwwx/clJQUGT9+vAwcONAsj9JSO1/N9c9tr25+kyZNsvzcNwgLC5PRo0eLvb29lCpV6pnLvqxmzZqZ9L9EiRLy0Ucfyd69eyUhIcG4nKHAS01NlVGjRkmnTp3k0aNHZmuHubHIszBRUVHi5+cnXbp0MU7T6/WZflsMDw+Xd999VxRFkQULFjDfDO7cuSNFihSRWrVqyYQJE6Rs2bLGN72rq6t0795d1q1bJ48fPza+5uzZs1KsWDEpXbq0Veer3fcHDx6Iv7+/tGnTxjgtq1GSO3fuyKeffiqKosgXX3yR42xLyL97966UKFFCatSoIQsXLpTWrVuLjY2NcRvUr19flixZYvIH5dy5c1KiRAkpX7681eeruf657dXNf/jwodSpU0caNGhgnJbV+o+JiZGvvvpKFEWR4cOH5zhbROTevXvi6+srlStXlt9++0369esnZcqUMfa/SpUqMnnyZDl9+rTxC+6ZM2ekVKlSUqlSJbO0IbewyLMwsbGx0qJFC6lQoYJxuDj9OVFp/3/nzh3x8vKSrl27ZnoojfkvZ+/eveLg4CCDBw82Tjtw4IAMGDBA3N3djW96Hx8fGTx4sBw7dky+//57URRFvv/+e6vOV7vvjx8/ls6dO0uxYsXkypUrxtGCrA6FpKamGv8wpy08rTV///794uTkJAMHDjROO3nypEyePFlq1qxpMsrwxhtvyK5du8y6/tXOV3P9c9urm5+cnCzvv/++ODo6yvHjxyU1NdX4LysNGzaUBg0amOX8yEOHDomrq6v07dvXOO3SpUuyePFi6dy5sxQpUsTY/6ZNm8rKlStlxowZZut/bmKRZ4EM3xKHDx+eYSdPTU01KXJSUlKkdevWUr16dUlKSmJ+Dm3btk3s7Oxk3rx5xry02X/++ad07NjR5EPPxcVFFEWR+Ph4q85Xu+8iIvPmzRNFUaRbt24ZPrzTF/uJiYnyxhtvSIUKFSQxMdHq8/ft2yeOjo4yc+ZMETFd/3q9Xvbs2SODBw8WPz8/4/o3jLaYY/2rnS+i7vrntld3269du9Z4GPzMmTMm89Kv/4SEBHn77bfFx8fH5FBqdh05ckScnZ1l0qRJIpJxFDEoKEimTZtmPB9cURTR6XRm7X9uYZFngeLi4uTNN98URVGkVq1asnTp0gxX/RgKmpMnT0qVKlWkU6dOzDeDyMhIWbFihZw/f944LSUlJcMo4d27d2XFihVSrVo1URRF3nzzTavPV7vvIk+369ChQ0VRFClatKhMnTpVLl68aLKMoT3BwcFStWpV6dixoybyHz9+LLt27ZKwsDDjtNTU1AzrPzo6Wv7++28JCAgw6/pXO19E3fXPba/utk9NTZUZM2aIk5OTFChQQAYPHiwhISEmyxiKr6CgIKlSpYq8/vrrZssPCwuT69evm7Qn/SBDbGys7N+/X3r16mX2/ucWFnkWxrATnz592ljo6HQ6adCggYwaNUrWr18vt27dktTUVDl+/Lh06tRJbG1tZcuWLcw3k6yuIhWRDIdwDFek/fPPP5rIV7vvIiI3b940/rE1nADdo0cPWbp0qVy+fFmuX78u27dvl+bNm4u9vb1s27ZNU/lZnYuUfv0bRp7Mvf7Vzldz/XPbq5sfFxcnX331lZQoUcK4DRo2bChTp06VgwcPyv79++XXX3+VWrVqiZOTk+zcudOs+VlJfwRp7ty5udL/3MAiz8Lt2bNH3n77bSlUqJBxp7e3t5eSJUuKvb29ODs7y6effsp8M0l/i4BnLXPr1i1p1qyZFC5cWBP5avc9vYsXL8rQoUNNPvAVRTGeH1i4cGGZMmWKZvMzk379e3h4aDb/woUL8sknn0jx4sXzfP3ndbZhvT7rvOLcXPdq56d348YNmTZtmsnFD4qiiK2trbH4XrRoUa7lP8vt27elRYsW4u7urkr+y+ITLyyEPOOpDU+ePEFYWBgOHTqE3bt348yZMyhSpAh8fHzw+uuvo3v37szPxfysnDhxAs2bN0f79u3x22+/WW2+2n1PL/0jpB4+fIjDhw9j8+bNuHTpEjw9PeHh4YEOHTqgZcuWZs22hPwXcfLkSTRt2hQBAQFYu3atVec/b/979OgRDh48iM2bNyM0NNSs61/N7BfJz0xervvczs+sPYDpYyuPHz+OHTt24MaNGyhUqBDc3NzQtm1bVK9e3azZL+rixYvo1q0bGjRogKVLl6rShpfBIs8CGN5ot27dwu3bt3HhwgUUKlQI9evXh5ubG+zs7DK85v79+8bHejE/9/JdXV1hb29vXFav15s87ufSpUtwd3eHp6enVear3XdDG4AXfx5xUlKSSbtyytryDVJSUvDo0SMUKlTIqvMBIDQ0FKGhoQgODoa3tzeqVKmCQoUKoWjRonBxcTFZ1tzrX83srPI9PDxQtGhRODs7Z/qa3F73eZUvT48mZniEml6vh16vh62tbY5+f3bznyc1NRXx8fFwdXXNpZaZUZ6MF9IzpaSkyB9//CEVKlQwDkcbrl569dVXZe7cuRIaGprhdea6yzbzs85v2rSpfP3115nmm4ua+Wr3Pb30576knZ72UJI5bpdjTfnpmePG05aQn5ycLMuXL5fChQubHJbT6XRSrVo1GTZsmOzYsSPDFYzmeMqEmtkvkj98+HDZsWOHydW7er3ebJ97auen96z3niHzWecM51Z+ern13sstHMmzAOvWrcOgQYPg7OyM7t27o0yZMjh16hQuXLiAM2fOICoqCi4uLujduzdGjBiB0qVLZ2uYnfnZz3d1dcV7771nzDcnNfPV7ntgYCDOnTuHtm3bZvjd6UcOc4M155vjPaB2/po1a/DRRx/Bx8cHgwYNgqenJy5evIiwsDCcOHEC586dg52dHTp27IgJEyagatWqOcqzlGzmA5s3b8ahQ4fQo0cPVKlSxWReamoqbGxszJpnznxz/v3JderVl2RQt25dqVGjRoZnhT58+FD27t0rEyZMEH9/f1EURapXry6HDx9mPvOtPltEpEGDBuLk5CSNGzeWkSNHyj///GN8FrFB2m/ver1e/v333wzLMN8682vXri316tXLcKuSx48fy8mTJ+X777+X1157TRRFETc3N1m7dq1ZctXOZr7IK6+8IoqiiLe3t3Tv3l1WrVolN2/eNFkm/b63detWuX37tiby8wqLPJXdvHlTnJycZPz48cZpaR8EbXD9+nUZN26cKMrTR8ykf54g85lvTdkiT6+gUxRFihUrJp6ensarF9u0aSPTpk2TAwcOZDhUFhISIj4+PiaPn2K+debfunVLXFxcTK6OT3/TW5GnVzPOnz9fXFxcpEKFCmZ5ML2a2cx/+tmj0+nEx8dHfHx8jIeKy5cvL4MGDZJNmzZJbGysyWtOnDghzs7OUq1aNavPz0ss8lR25MgRKVy4sHzyySci8vRO6mnfaOnPf5gyZYooiiIrVqxgPvOtNltE5M8//xRFUWT06NESFRUl3333nbRv316cnZ1FURQpWbKkvPXWW7Jo0SLjTVFXrlwpimKeRwkxX938U6dOScmSJeW9994TkYz7X/qC48cffxRFUWTu3LlWnc18kb///lsURZHPP/9cREQ2b94s7733nri5uRkLrrp168r48ePl33//FRGRn376yWz7ntr5eYlFnspSU1OldOnSUqlSpUyHig0MQ8ZRUVFStGhR+eCDD8xyAizz82++2n1fuHChKIoif/31lzHn0aNHcvz4cZk2bZq88sorxkcH+fv7S9++fY3TzPEoIearmy8iUqdOHSlatKgEBwebTM9s/4uJiRE/Pz/p1q2bWfY/NbPze/7SpUtFURRZs2aNyfT79+/Ljz/+KG3btjXue87OztKqVSupVq2a2fY9tfPzEos8C7B8+XLjUPGvv/4qd+/ezbCM4fl8J0+eFB8fH/nggw+Yz3yrzU5NTZU//vhDGjVqlOE5lSJP/9BERUXJrl275H//+59UqFDB+KHbpUsX5lt5vsGGDRvE3d1d3NzcZN68eXLt2rUMyxj2v1OnTknZsmXl3Xfftfrs/JxveBZu165dTQ7/ph89vHz5ssyaNUvq1KljHF0zx2PE1M7PayzyLMDDhw/lo48+EkVRjCMl69atk4sXL8rDhw9Nlp02bZrodDr5+++/mc98q85OTU2VCxcuGHOyun1BUlKSREVFybvvviuKopjtEXbMVzdf5Ok5oNOmTTP+EW3durV8/fXXsn///gwXdxjOCzXX/qdmdn7P1+v1cuPGDYmLi3uh5YcMGWLWfU/t/LzEW6hYkM2bN+Prr7/G/v37YWNjg6pVq6JGjRooXLgwihQpgpMnT2Lt2rVo0KAB9u7dy3zmayL7Rdy/fx89e/bEsWPHEB0dzXyN5Z86dQqzZ8/G5s2bERsbCx8fH5QrVw7FihVDiRIlcOzYMRw8eBCtW7fGP//8o5ls5mfNcAufe/fu4b333kNQUBDu37+fb/LNRu0qM79Le3PJpKQkOXfunCxbtkzee+898ff3lwIFCpjcoPa9996TCxcuMJ/5Vp1tyDdIf7Ph9Mts3bpVFEWR3r17M18j+YZcwz54//592blzp0yYMEGaNm0qLi4uxv2vcOHC8r///S/TQ4rWmM38F7dt2zZRFMWsh6qtKT+nOJKnAkl3I8W4uDjY2dnBwcHBOO3OnTuIiIjAkydPEB0djXv37qFly5bw8vLK9DFfzGe+pWe/aH5qaioURTG5EW9wcDAWLFiAUaNGoXLlysy30vwX8eTJEzx69AjJyckIDw9HTEwMGjVqBFdX11y/Aa2a2czP3LVr17B06VL07t0bFStWzHf5OcUiTyW3b9/Gzz//jF27dkFRFIgIypYti9deew0dOnRgPvM1mZ1Vfrly5fD666+jXbt2JsumLUqio6NRuHBh5lt5fnalL1DzSzbzgeTk5Bx/wbTm/BzJ/cFCSu/gwYPStGlTURRFnJycpFKlSsahcUVRpESJEjJq1CiTQ2Pmel4i8/N3vjX0fcyYMSZ34We+dvLv3bsnUVFRGaZnlZH2maXWnM38l883N7Xz1cIiTwUtWrSQwoULy08//SRXrlyRBw8eyJ07d+THH3+Uzp07i52dnSiKIhUqVJCffvqJ+czXRDbzmf/uu+/KgAED5I8//pCLFy++0D3HXvQKSEvOZj7z1cIiL49duXJFdDqdTJs2zTgt/TeJ8PBwGTt2rBQpUkRcXV3lhx9+yHQ55jPfWrKZz/wrV64YRwwdHBykXr16Mm7cONm6dauEh4dLUlJShtecP39eBg4cKKtWrbLabOYzX00s8vLYTz/9JPb29vLzzz+LyNPHyYj89yDktB+me/bsEQ8PDyldurSEh4czn/lWm8185hueMtCrVy/55JNPpGLFimJjYyNubm4SEBAgc+fOlQMHDsjdu3clOTlZREQWLVokiqLk+A+tmtnMZ76aWOTlsSNHjoiiKPLVV19luYxerzd+4P7yyy+iKIqsXbuW+cy32mzmM3/s2LGiKIoEBQWJiMjhw4dl0aJF8tZbb0nJkiVFURTx8vKSt99+W1atWiWHDh2STp06iU6nk8ePH1ttNvOZryYWeXksOjpaatWqJY6OjrJs2TKJjY3NdDnD8PH+/fulQIECMnXqVOYz32qzmZ+/8x8/fiyDBg0Se3v7DI/Oi4yMlN27d8v06dOlTZs24u7uLjY2NlKmTBlRFEU6d+5stdnMZ77aWOSpYP369WJrayseHh4yfvx4uXTpUpbLrlixQnQ6nVkfp8L8/Jufn/vOfHXzjx49KrNmzTI+Miv9g+5TUlLk6tWrsmHDBhk7dqz4+vqKoiiydetWq85mPvPVxCJPJXv27JHGjRuLoiji5uYm7777rqxbt07OnTsnly5dkjt37siePXukfPnyUqZMGeYzXxPZzGd+emkPERuEh4dL/fr1pVChQprNZj7z8wKLPBUYdqwTJ07I6NGjTe5VVbRoUalcubIUKVJEFEWR0qVLy2+//cZ85lt9NvPzd/6LXKFrOOl9y5YtYmtrKwMHDrT6bOYzX0184oUFuHHjBvbs2YMjR47g1q1biI6ORnR0NDp37oxevXrB39+f+czXXDbzmZ+Vb7/9FmPHjsW+fftQu3btfJPNfOabG4s8CxMdHQ1XV1fY2toyn/n5Jpv5zE/rypUrOHLkCHr27JmvspnPfHNjkWeBJJ8/p5D5fEYn8/NnPhGZF4s8IiKyKPyiw/z8mm9uLPKIiIiINEindgOIiIiIyPxY5BERERFpEIs8IiIiIg1ikUdERESkQSzyiIiIiDSIRR4RERGRBrHIIyIiItIgFnlEREREGsQij4iIiEiD/h8/Gx8I6WgFkAAAAABJRU5ErkJggg==", "text/plain": [ "
" ] }, - "execution_count": 34, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -3256,17 +3250,17 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 24, "id": "e3ccd49d-07d1-4980-9403-c60f680f01e7", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "745" + "744" ] }, - "execution_count": 36, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -3278,66 +3272,65 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 25, "id": "43e882ea-427b-4b6d-808b-bc4e56dd70b0", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'001 011': 1,\n", - " '000 101': 2,\n", - " '011 101': 3,\n", - " '100 101': 2,\n", - " '111 001': 1,\n", - " '110 011': 1,\n", - " '100 001': 2,\n", + "{'000 111': 1,\n", + " '110 001': 1,\n", + " '011 101': 1,\n", + " '001 101': 1,\n", + " '100 011': 1,\n", + " '111 111': 1,\n", + " '010 101': 1,\n", + " '010 011': 2,\n", + " '001 011': 1,\n", + " '001 001': 2,\n", + " '101 101': 1,\n", + " '110 100': 25,\n", + " '011 111': 1,\n", " '011 011': 1,\n", - " '010 001': 1,\n", - " '111 110': 10,\n", - " '110 010': 16,\n", - " '111 010': 15,\n", - " '000 111': 3,\n", - " '001 101': 4,\n", - " '110 001': 2,\n", - " '101 000': 34,\n", - " '100 110': 16,\n", - " '010 000': 30,\n", - " '000 100': 50,\n", - " '000 001': 6,\n", - " '000 110': 31,\n", - " '001 000': 53,\n", - " '001 100': 58,\n", + " '100 101': 3,\n", + " '111 110': 15,\n", + " '001 110': 13,\n", + " '100 100': 32,\n", + " '011 010': 22,\n", + " '110 101': 1,\n", + " '111 000': 24,\n", + " '011 000': 43,\n", + " '101 000': 31,\n", + " '010 100': 29,\n", " '011 001': 2,\n", - " '000 000': 63,\n", - " '001 110': 31,\n", - " '001 111': 1,\n", - " '101 100': 19,\n", + " '000 000': 64,\n", + " '010 000': 34,\n", + " '100 110': 13,\n", + " '000 110': 30,\n", + " '111 010': 15,\n", + " '101 110': 14,\n", + " '001 010': 40,\n", + " '010 010': 41,\n", + " '011 110': 19,\n", + " '100 010': 26,\n", + " '110 010': 19,\n", + " '111 100': 18,\n", + " '011 100': 25,\n", + " '010 110': 13,\n", + " '110 110': 13,\n", + " '000 010': 55,\n", + " '110 000': 49,\n", + " '100 000': 46,\n", " '101 010': 28,\n", - " '111 000': 23,\n", - " '111 100': 22,\n", - " '011 100': 38,\n", - " '010 010': 29,\n", - " '100 100': 38,\n", - " '011 010': 21,\n", - " '110 100': 12,\n", - " '001 001': 4,\n", - " '110 000': 27,\n", - " '100 000': 36,\n", - " '010 111': 3,\n", - " '010 100': 41,\n", - " '110 110': 12,\n", - " '000 010': 38,\n", - " '010 110': 22,\n", - " '011 000': 40,\n", - " '101 110': 16,\n", - " '001 010': 39,\n", - " '100 010': 36,\n", - " '011 110': 12,\n", - " '100 011': 5}" + " '101 100': 29,\n", + " '000 100': 47,\n", + " '001 000': 62,\n", + " '001 100': 44,\n", + " '111 101': 1}" ] }, - "execution_count": 37, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -3349,18 +3342,18 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 26, "id": "17baa70f-e7e9-4238-b7dd-a9e4c60f1fb0", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAm0AAAHwCAYAAAD0G1i+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuNSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/xnp5ZAAAACXBIWXMAAA9hAAAPYQGoP6dpAACvAklEQVR4nOzdd3xT1fsH8M9t0j2hFEqhpYxSNhSQLTLLEkQZDmSJDGUIKCIgggoCCoIoIqCC/hBQFASRqUAre5YNlo0M2V3Qmef3B99cmyZp0zZNmvJ5v159aW8eznlOzrnpyV1HEREBERERERVqTvZOgIiIiIhyxkkbERERkQPgpI2IiIjIAXDSRkREROQAOGkjIiIicgCctBERERE5AE7aiIiIiByA1t4JFDY6nQ7Xrl2Dt7c3FEWxdzpERERUxIkIEhISEBQUBCcn88fTOGnL4tq1awgODrZ3GkRERPSYuXLlCsqWLWv2dU7asvD29gbw6I3z8fGxczZERERU1MXHxyM4OFidg5jDSVsW+lOiPj4+nLQRERGRzeR0WRZvRCAiIiJyAJy0ERERETkATtps5OrVq3j55Zfh7+8Pd3d31KxZEwcOHDAZO2TIECiKgjlz5tg2SSIiIiq0eE2bDdy7dw9NmzZFy5YtsWHDBgQEBCA2NhbFihUzil29ejX27NmDoKAgO2RKREREhRUnbTYwY8YMBAcHY/Hixeq28uXLG8VdvXoVw4cPx6ZNm9CpUydbpkhERESFHE+P2sDatWtRv3599OjRAyVLlkRERAQWLVpkEKPT6dC7d2+MGTMG1atXt1OmREREVFhx0mYD58+fx/z58xEWFoZNmzbhtddew4gRI/Ddd9+pMTNmzIBWq8WIESPsmCkREREVVjw9agM6nQ7169fHRx99BACIiIjA8ePH8dVXX6Fv3744ePAgPvvsMxw6dIhLZxEREZFJPNJmA6VLl0a1atUMtlWtWhWXL18GAPz111+4efMmQkJCoNVqodVqcenSJbz55psIDQ21Q8ZERERU2PBImw00bdoUZ86cMdj2999/o1y5cgCA3r17o02bNgavt2vXDr1790b//v1tlicREREVXpy02cCoUaPQpEkTfPTRR+jZsyf27duHhQsXYuHChQAAf39/+Pv7G/wbZ2dnBAYGIjw83B4pExERUSHD06M28MQTT2D16tVYvnw5atSogQ8//BBz5sxBr1697J0aEREROQhFRMTeSRQm8fHx8PX1RVxcHBeMJyIiogJn6dyDR9qIiIiIHAAnbZQr2a2hmpaWhrFjx6JmzZrw9PREUFAQ+vTpg2vXrtk5ayIiIsfHSRtZTL+GqrOzMzZs2ICTJ09i1qxZ6hqqDx48wKFDhzBx4kQcOnQIq1atwpkzZ9ClSxc7Z05EROT4eE1bFrymzbx33nkHO3fuxF9//WXxv9m/fz8aNGiAS5cuISQkpACzIyIicky8po2szpI1VLOKi4uDoijw8/OzTZJERERFFCdtZDFL1lDNLDk5GWPHjsWLL77Io5ZERET5xNOjWfD0qHkuLi6oX78+du3apW4bMWIE9u/fj927dxvEpqWloVu3bvjnn3+wfft2vpdERERm8PQoWV1Oa6jqpaWloWfPnrh06RK2bNnCCRsREZEVcBkrslhOa6gC/03YYmNjsW3bNqPluYiIiChvOGkji+W0hmpaWhq6d++OQ4cOYd26dcjIyMCNGzcAAMWLF4eLi4s90yciInJovKYtC17Tlr1169Zh3LhxiI2NRfny5TF69GgMHDgQAHDx4kWUL1/e5L/btm0bWrRoYcNMiYiIHIOlcw9O2rLgpI2IiIhsiTciEBERERUhnLQREREROQBO2oiIiIgcACdtRERERA6AkzYiIiIiB8BJGxEREZED4KSNiIiIyAFwRQQ7GTjHeNuikbbOgoiIiBwFj7QREREROQBO2oiIiIgcACdtRERERA6AkzYiIiIiB8BJGxEREZED4KSNiIiIyAFw0kZERETkADhpIyIiInIAnLQREREROQBO2oiIiIgcAJexonzjklxEREQFj0faiIiIiBwAJ21EREREDoCTNiIiIiIHwEkbERERkQMo1JO21atXo23btvD394ebmxvKly+PF198EVeuXDGIi4+Px+jRo1GuXDm4uroiNDQUY8aMQWJiop0yJyIiIrKuQnn3qIhgyJAhWLhwISpWrIgXXngB3t7euHbtGqKionDp0iUEBwcDAJKSkvDUU08hJiYGkZGRePHFF3H48GHMnDkTUVFRiI6Ohpubm51bRERERJQ/hXLSNnfuXCxcuBCvv/465s6dC41GY/B6enq6+v8ff/wxYmJiMHbsWEyfPl3d/s4772DGjBmYPXs2xo0bZ7PciYiIiAqCIiJi7yQye/jwIcqUKYNixYrhzJkz0GrNzytFBGXLlkV8fDxu3LgBT09P9bWkpCQEBgaiZMmSOHfunMX1x8fHw9fXF3FxcfDx8clXW7JTlJ5tVpTaQkREZGuWzj0K3ZG2zZs34969e+jfvz8yMjKwdu1a/P333/Dz80ObNm1QqVIlNTY2NhbXrl1Du3btDCZsAODp6YmmTZti06ZNuHLlino6lYiIiMgRFbpJ28GDBwEAGo0GtWrVwt9//62+5uTkhFGjRmHmzJkAHk3aACAsLMxkWWFhYdi0aRNiY2PNTtpSUlKQkpKi/h4fHw8ASEtLQ1pamlqvRqNBRkYGdDqdQT4ajQbp6enIfMBSo9HAycnJ7PZH5Tob5aKvT09/lDHz6WAAcHZ2hk6nQ0ZGhrpNURRotVqz283lbo02mbqfRR+TNXdHadN//ZRz7mwT28Q2sU1sE9uU3zZZotBN2m7evAkA+PTTT1G3bl3s27cPVatWxeHDhzFo0CDMmjULFStWxGuvvYa4uDgAgK+vr8my9IcY9XGmTJs2De+//77R9s2bN8PDwwMAEBISgoiICBw9ehSXL19WY8LDw1GlShXs27cPt27dUrfXqVMH5cqVQ3R0NBISEtTtjRs3RsmSJbF582YAnYzq7N27N3788UeDbWFhYfjkk08AABMmTMCJEycMXm/Xrh1ee+01eHt7o1WrVrhy5QpiYmLU1wMCAtCkSRPExsbizJkz6nZrtgkoadSWhIQEuLu7Y/369QbbO3bsiIcPH2Lbtm3qNq1Wi06dOuH27dvYvXu3ut2ebdL3U+YdqWXLlmwT28Q2sU1sE9tk9TbpD1jlpNBd0zZo0CAsWrQI7u7uOHv2LIKCgtTXjh8/jtq1a6N8+fI4e/Ysli1bhl69emHChAmYMmWKUVkTJkzARx99hFWrVuHZZ581WZ+pI23BwcG4ffu2OukriFn/6/OMj7QF3pmIVatWYePGjQAeDRatVgs/Pz8AQJs2bRAWFoYpU6aos3sPDw/4+PjY9ZvM4LnGR9oWvsEjbWwT28Q2sU1sE9tkSZvu3r0Lf39/x7umTX/UrH79+gYTNgCoUaMGKlSogLNnz+L+/ftqrLkjafpTneaOxAGAq6srXF1djbY7OzvD2dlwYqXRaIzuZAX+62hLt2ctN3P5zs7OZk/lKooCLy8vBAYGmnwdeDQAnJyMJ1HmcrdWm0zlCphvq6nt5nK3V5tyk7u57WwT2wSwTeZyzO12toltAh6vNhnVZ1GUDYWHhwOAenQpK/32hw8fqtey6a9tyyqna94Ko9jYWAQFBaFChQro1auXwWFUAPjhhx9QokQJ1KhRA+PGjcODBw/slCkRERHZUqE70tayZUsAwKlTp4xeS0tLw9mzZ+Hp6YmAgAAEBgYiKCgIO3fuRFJSktEjP3bu3Iny5cs7zJ2jDRs2xJIlSxAeHo7r16/j/fffx5NPPonjx4/D29sbL730EsqVK4egoCAcPXoUY8eOxZkzZ7Bq1Sp7p05EREQFrNAdaatYsSIiIyNx9uxZfP311wavTZ8+Hffv38ezzz4LrVYLRVHw6quvIjExER9++KFB7IcffojExEQMHDjQlunnS4cOHdCjRw/UqlUL7dq1w/r163H//n389NNPAB5d79euXTvUrFkTvXr1wvfff4/Vq1fn6jl0RERE5JgK3ZE2APjyyy/RpEkTDBw4EL/++iuqVKmCw4cPY+vWrShXrpx6NyUAvP3221izZg1mzJiBw4cPo27dujh06BA2b96MJ554AiNHjrRfQ/LJz88PlStXxtmzZ02+3rBhQwDA2bNnUbFiRVumRkRERDZW6I60AY+Oth04cAD9+vXDwYMHMXfuXMTGxmLo0KHYt2+fwYX4np6eiIqKwsiRI3Hq1CnMmjULp0+fxptvvok///wT7u7udmxJ/iQmJuLcuXMoXbq0ydf1txmbe52IiIiKjkL3yA97s+cyVr7/vIXOnTujXLlyuHbtGiZNmoSYmBicPHkS8fHxWLZsGTp27Ah/f38cPXoUo0aNQtmyZREVFVVgeVqCy1gRERHlncMuY/U4++eff/Diiy/izp07CAgIQLNmzbBnzx4EBAQgOTkZf/zxB+bMmYOkpCQEBwejW7duePfdd+2dNhEREdkAJ22FyIoVK8y+FhwcbPcjakRERGQ/hfKaNiIiIiIyxEkbERERkQPgpI2IiIjIAXDSRkREROQAOGkjIiIicgCctBERERE5AE7aiIiIiBwAJ21EREREDoCTNiIiIiIHwEkbERERkQPgpI2IiIjIAXDSRkREROQAOGkjIiIicgCctBERERE5AE7aiIiIiBwAJ21EREREDkBr7wQoewPnGG9bNNLWWRAREZG98UgbERERkQPgpI2IiIjIAXDSRkREROQAOGkjIiIicgCctBERERE5AE7aiIiIiBwAJ21EREREDoCTNiIiIiuYPn06FEXByJEj1W3nzp3Ds88+i4CAAPj4+KBnz574999/7ZckOTRO2oiIiPJp//79WLBgAWrVqqVuS0pKQmRkJBRFwdatW7Fz506kpqaic+fO0Ol0dsyWHBUnbURERPmQmJiIXr16YdGiRShWrJi6fefOnbh48SKWLFmCmjVrombNmvjuu+9w4MABbN261Y4Zk6PipI2IiCgfhg4dik6dOqFNmzYG21NSUqAoClxdXdVtbm5ucHJywo4dO2ydJhUBnLQRERHl0YoVK3Do0CFMmzbN6LVGjRrB09MTY8eOxYMHD5CUlIS33noLGRkZuH79uh2yJUfHSRsREVEeXLlyBW+88QZ++OEHuLm5Gb0eEBCAlStX4rfffoOXlxd8fX1x//591K1bF05O/PNLuae1dwJERESO6ODBg7h58ybq1q2rbsvIyEB0dDS++OILpKSkIDIyEufOncPt27eh1Wrh5+eHwMBAVKhQwY6Zk6PipI2IiCgPWrdujWPHjhls69+/P6pUqYKxY8dCo9Go20uUKAEA2Lp1K27evIkuXbrYNFcqGjhpIyIiygNvb2/UqFHDYJunpyf8/f3V7YsXL0bVqlUREBCA3bt344033sCoUaMQHh5uj5TJwXHSRkREVEDOnDmDcePG4e7duwgNDcWECRMwatQoe6dFDoqTNiIiIivZvn27we/Tp0/H9OnT7ZMMFTm8faUIyLp0ysWLF6EoismflStX2jdZIiIiyhNO2hycqaVTgoODcf36dYOf999/H15eXujQoYMdsyUiIqK84qTNgZlbOkWj0SAwMNDgZ/Xq1ejZsye8vLzsmDERERHlFSdtDszc0ilZHTx4EDExMRgwYICNMiMiIiJr440IDkq/dMr+/ftzjP3mm29QtWpVNGnSxAaZERERUUHgkTYHlNPSKZk9fPgQy5Yt41E2IiIiB8dJmwPKvHSKVquFVqtFVFQU5s6dC61Wi4yMDDX2559/xoMHD9CnTx87ZkxElsp6N7je7t270apVK3h6esLHxwfNmzfHw4cP7ZMkEdkFT486oNwsnfLNN9+gS5cuCAgIsHWaRJRLpu4GBx5N2Nq3b49x48bh888/h1arxZEjR7joONFjhpM2B2TJ0ikAcPbsWURHR2P9+vW2TpGIcinz3eBTpkwxeG3UqFEYMWIE3nnnHXUbl0Eievzwa1oR9u2336Js2bKIjIy0dypElANzd4PfvHkTe/fuRcmSJdGkSROUKlUKTz31FHbs2GGnTInIXnikrYjIunQKAHz00Uf46KOPbJ8MEeVKdneDnz9/HgAwefJkzJw5E3Xq1MH333+P1q1b4/jx4wgLC7N1ukRkJzzSRkRkRzndDa7T6QAAgwcPRv/+/REREYHZs2cjPDwc3377ra3TJSI74qSNiMiOcrobvFSpUgCAatWqGfy7qlWr4vLly/ZImYjshKdHiYjsKKe7wStUqICgoCCcOXPGIObvv//mWsJEjxlO2oiI7MiSu8HHjBmDSZMmoXbt2qhTpw6+++47nD59Gj///LM9UqYcDJxjvG3RSFtnQUURJ21ERIXcyJEjkZycjFGjRuHu3buoXbs2tmzZgooVK9o7NSKyIU7aiIgKGVN3g7/zzjsGz2kjoscPb0SgIs3ckkAAICLo0KEDFEXBr7/+avPciIiIcoOTNiqyzC0JpDdnzhwoimLjrIiIiPKGkzYqkjIvCVSsWDGj12NiYjBr1iw+54qIiBwGJ21UJJlbEggAHjx4gJdeegnz5s1DYGCgHbIjIiLKPd6IQEVOdksCAY8W327SpAmeeeYZG2dGRESUd5y0UZGiXxJoy5YtJpcEWrt2LbZu3YrDhw/bITsiIqK84+lRKlJyWhJoy5YtOHfuHPz8/NTXAaBbt25o0aKFfZN3cKbu1B08eDAqVqwId3d3BAQE4JlnnsHp06ftlyQRkQPjkTYqUnJaEqhEiRIYPHiwwes1a9bE7Nmz0blzZ1umWqSYu1O3Xr166NWrF0JCQnD37l1MnjwZkZGRuHDhAjQajZ2yJSJyTJy0FRFcNuURS5YEMnXzQUhICMqXL2+THIuazHfqTpkyxeC1QYMGqf8fGhqKKVOmoHbt2rh48SKf5k9ElEs8PUpE+ZLdnbqZJSUlYfHixShfvjyCg4NtlB0RUdHBI21U5JlaEigzEbFNIkVQTnfqAsCXX36Jt99+G0lJSQgPD8eWLVvg4uJiwyyJiIoGHmkjojzR36n7ww8/mLxTV69Xr144fPgwoqKiULlyZfTs2RPJyck2zJSIqGjgkTYiypPMd+rqZWRkIDo6Gl988QVSUlKg0Wjg6+sLX19fhIWFoVGjRihWrBhWr16NF1980Y7ZExE5Hoc40jZjxgwoigJFUbBnzx6D1yZPnqy+Zurn4sWL9kmaqIjT36kbExOj/tSvXx+9evVCTEyMybtDRQQigpSUFDtkTETk2Ar9kbbjx49j0qRJ8PT0RFJSktm4vn37IjQ01Gi7n59fwSVH9BjL6U7d8+fP48cff0RkZCQCAgLwzz//YPr06XB3d0fHjh3tlLVj4N3gRGRKoZ60paWloW/fvqhTpw7CwsKwdOlSs7H9+vXjw1GJChE3Nzf89ddfmDNnDu7du4dSpUqhefPm2LVrF0qWLGnv9IiIHE6hnrRNnToVJ06cwKFDh/Dxxx/bOx0iykHmO3WDgoKwfv16+yVDRFTEFNpJ26FDhzB16lR88MEHqFatWo7x0dHR2Lt3L5ycnBAWFoY2bdrAy8vLBpkSERERFbxCOWlLSUlBnz59UKdOHbz99tsW/ZtJkyYZ/O7n54fPPvsMffr0ybGuzBdFx8fHA3h0ajYtLQ0A4OTkBI1Gg4yMDOh0OjVWvz09Pd3gWV8ajQZOTk5mtz8q19koF319eo/WxVRM5q3T6ZCRkZFpi+nyFEWBVqs1m7s12mTqfhZ9THp6uok2GW93dnY2apM+d3PbC7JN//VTzrnnp00ff/wx3n33XQwfPhxz585FRkYGFi5ciBUrVuDw4cNISEjAvXv34O3t7TBtyrq9KPSTrdtkiog4dJuKYj+Za5Opz21T/edIbSqK/VTY2mSJQjlpe++99xAbG4uDBw/muD5h7dq18e2336JFixYoXbo0bty4gXXr1uG9995Dv3794Ofnhy5dupj999OmTcP7779vtH3z5s3w8PAA8GiJo4iICBw9ehSXL19WY8LDw1GlShXs27cPt27dUrfXqVMH5cqVQ3R0NBISEtTtjRs3RsmSJbF582YAnYzqzHoq6dHF2saTMQC4ffs2du/enWnLMybLCwgIQJMmTRAbG4szZ86or1mzTYDx9UkJCQlwd3c32aaHDx9i27Zt6jatVotOnToZtcnb2xutWrXClStXEBMTo263RZv0/ZR5R2rZsqVV27Ry5UrMnTsXoaGhuHHjBgAgNjYWBw4cQLly5VCuXDn83//9HwA4TJuKYj/Zo02mpKenO3SbimI/mWuTqc/thIQEh25TUeynwtSmgwcPwhKKFLLHwe/evRvNmjXD5MmTMXHiRHV7v3798N1332H37t1o1KhRjuX8+eefaNu2LWrUqIGjR4+ajTN1pC04OBi3b9+Gj48PgIKZ9b8+z3in/nKo8beBQZ8Zf2NbNNL4SJu58mzxTWbwXOMjAwvf4JG27NoUHx+PevXq4fPPP8e0adNQu3Zt9UibPveoqCi0bduWR9oewzaZunt04Rs80uYobTL1uW2q/xypTUWxnwpTm+7evQt/f3/ExcWpcw9TCtWRtvT0dPTt2xe1atXCO++8k6+yWrdujYoVK+LYsWOIj483+ya4urrC1dXVaLuzszOcnQ0nQhqNxuSRv/8OiVu2PWu5OW03xcnJyexpFFPlmcvdWm3KSlEUoxzM5aZnrk3mthd0m3LbT7lp0/Dhw/H000+jffv2mD59uhqTOffMeTlCm4piP9mrTaYoiuLQbSqK/ZSbz2xz/ecobSqK/eQIbTKKsyjKRhITExEbGwsAZtcmfHQ6Dli9ejW6du2abXklSpTA2bNn8eDBg2xnrkS2ZMl6nURERFkVqkmbq6srBgwYYPK16OhoxMbGokuXLggICDD5IN3MkpKScOLECXh6eqJEiRIFkC1Z2/Tp0zFu3Di88cYbmDNnDgAgOTkZb775JlasWIGUlBS0a9cOX375JUqVKmXfZPNIv17nli1bsl2vk4iIKKtCNWlzd3fH119/bfK1fv36ITY2FuPGjVOvaUtISMD169dRuXJlg9iHDx9i4MCBSEhIQP/+/XN1CoLsY//+/ViwYAFq1aplsH3UqFH4/fffsXLlSvj6+mLYsGF47rnnsHPnTjtlmj+WrtdJRESUlUPPZu7cuYMqVargiSeeQNWqVREYGIh///0Xf/zxB/755x/UrFkTn3zyib3TpBwkJiaiV69eWLRoEaZMmaJuj4uLwzfffINly5ahVatWAIDFixejatWq2LNnj0U3pACFa0kg/XqdmfXv3x9VqlTB2LFjOWEjIiKzHHrSVrx4cbz++uvYt28f1q9fj3v37sHd3R1Vq1bFiBEjMGzYsP/dfk2F2dChQ9GpUye0adPGYNJ28OBBpKWloU2bNuq2KlWqICQkxOK7iAubnNbrBIAbN27gxo0bOHv2LADg2LFj8Pb2RkhICIoXL27znImIqHBwmEnbkiVLsGTJEoNtPj4++OKLL+yTEFlFdhfl37hxAy4uLvDz8zPYXqpUKfW5ZkXRV199ZfDswObNmwN4dJSxX79+dsqKiIjszWEmbVT08KL8R7ZnWq8TACZPnozJkyfbJRciIiq8sn/QF1EBynxRvlarhVarRVRUFObOnQutVotSpUohNTUV9+/fN/h3//77LwIDA+2TNBERkZ3wSBvZTU4X5QcHB8PZ2Rl//vknunXrBgA4c+YMLl++rD6vjwqfwnTjBxFRUcJJG9mNJRflDxgwAKNHj0bx4sXh4+OD4cOHo3Hjxg55EwIREVF+cNJGhdrs2bPh5OSEbt26GTxcl4iI6HHDSRsVKlkvyndzc8O8efMwb948+yRERERUSPBGBCIiIiIHwEkbERERkQPgpI2IiIjIAXDSRkREROQAOGkjIiIicgCctBERERE5AE7aiIiIiBwAn9NGVAhw6SciIsoJj7QREREROQBO2oiIiIgcACdtRERERA6AkzYiIiIiB8AbEajQ4UX5RERExvJ8pC06OhqXL1/ONubKlSuIjo7OaxVERERE9D95nrS1bNkSS5YsyTbm+++/R8uWLfNaBRERERH9T54nbSKSY4xOp4OiKHmtgoiIiIj+p0BvRIiNjYWvr29BVkFERET0WMjVjQivvPKKwe+//vorLl68aBSXkZGhXs/WoUOHfCVIRERERLmctGW+hk1RFMTExCAmJsZkrKIoeOKJJzB79uz85EdEREREyOWk7cKFCwAeXc9WoUIFjBw5Em+88YZRnEajQbFixeDp6WmdLImIiIgec7matJUrV079/8WLFyMiIsJgGxEREREVjDw/XLdv377WzIOIiIiIspHvFRH27duH/fv34/79+8jIyDB6XVEUTJw4Mb/VEBERET3W8jxpu3v3Lrp27YqdO3dm+8w2TtqIiIiI8i/Pk7bRo0djx44daNGiBfr27YuyZctCq+VSpvT4mj9/PubPn68+Bqd69ep47733jB57IyLo2LEjNm7ciNWrV6Nr1662T5aIiBxOnmdZ69atQ4MGDfDnn39y1QMiAGXLlsX06dMRFhYGEcF3332HZ555BocPH0b16tXVuDlz5nCfISKiXMvzpO3hw4do3rw5//gQ/U/nzp0Nfp86dSrmz5+PPXv2qJO2mJgYzJo1CwcOHEDp0qXtkSYRETmoPE/a6tSpY3I1BCJ6tCrIypUrkZSUhMaNGwMAHjx4gJdeegnz5s1DYGCgnTMkIiJHk+e1RydNmoS1a9diz5491syHyKEdO3YMXl5ecHV1xZAhQ7B69WpUq1YNADBq1Cg0adIEzzzzjJ2zJCIiR5TnI203btxAp06d8NRTT6FXr16oW7cufHx8TMb26dMnzwkSOZLw8HDExMQgLi4OP//8M/r27YuoqCicPXsWW7duxeHDh+2dIhEROag8T9r69esHRVEgIliyZAmWLFlidH2biEBRFE7a6LHh4uKCSpUqAQDq1auH/fv347PPPoO7uzvOnTsHPz8/g/hu3brhySefRFjX7bZPloiIHEqeJ22LFy+2Zh5ERZJOp0NKSgref/99vPrqqwav1axZE7Nnz0bnzp3x0Ro7JUhERA6Dy1gRWcm4cePQoUMHhISEICEhAcuWLcP27duxadMmBAYGmrz5ICQkBOXLl7dDtkRE5Gj4NFwiK7l58yb69OmD69evw9fXF7Vq1cKmTZvQtm1be6dGRERFQJ4nbZcvX7Y4NiQkJK/VEDmMb775Jlfx2S3/RkRElFWeH/kRGhqK8uXL5/hToUIFa+ZLRERWMn/+fNSqVQs+Pj7w8fFB48aNsWHDBgCP1pcePnw4wsPD4e7ujpCQEIwYMQJxcXF2zpro8ZXnI219+vQxuRpCXFwcjhw5ggsXLuCpp55CaGhofvIjIqICkt3SayKCa9euYebMmahWrRouXbqEIUOG4Nq1a/j555/tnTrRYynPk7YlS5aYfU1EMGvWLHz88ce5PmVERES2kd3SawMGDMAvv/yivlaxYkVMnToVL7/8MtLT06HV8pJoIlvL8+nR7CiKgrfeegvVq1fHmDFjCqIKIiKyooyMDKxYscJg6bWs4uLi4OPjwwkbkZ0U6J5Xv359fP311wVZBRER5cOxY8fQuHFjJCcnw8vLy2Dptcxu376NDz/8EIMGDbJDlkQEFNCRNr1z584hPT29IKsgIqJ80C+9tnfvXrz22mvo27cvTp48aRATHx+PTp06oVq1apg8ebJ9EiUi60/adDodrly5gg8//BBr1qwxe5idiIjsT7/0Wr169TBt2jTUrl0bn332mfp6QkIC2rdvD29vb6xevRrOzs75rjO7u1YBYOHChWjRogV8fHygKAru37+f7zqJioI8nx51cnIyefeonoigWLFimDVrVl6rICIiG9MvvQY8OsLWrl07uLq6Yu3atXBzc7NKHdndtVq9enU8ePAA7du3R/v27TFu3Dir1ElUFOR50ta8eXOTkzYnJycUK1YMTzzxBPr374+SJUvmK0EiIioY2S29Fh8fj8jISDx48ABLly5FfHw84uPjAQABAQHQaDR5rje7u1arV6+OkSNHAgC2b9+e5zqIiqI8T9q4MxERObbsll7bvn079u7dCwCoVKmSwb+7cOGC1Z7BmZGRgZUrV2Z71yoRPcL7tokK0MA5xtsWjbR1FkSmZfcczRYtWhToUmuW3rVKRP+xyqRt586diImJQXx8PHx8fFCnTh00bdrUGkUTEVERpL9rNS4uDj///DP69u2LqKgoTtyIspGvu0d37dqF8PBwNG/eHCNGjMCECRMwYsQING/eHFWqVMHu3butlSflQU53aCUnJ2Po0KHw9/eHl5cXunXrhn///deOGRPR4yKnu1aJyFiej7SdOHFCvUi1bdu2aNmyJUqXLo0bN25g27Zt2Lx5M9q1a4c9e/bwm5Od5HSH1qhRo/D7779j5cqV8PX1xbBhw/Dcc89h586d9k6diB4zme9aJSLT8jxp++CDD5Camor169ejffv2Bq+NHTsWGzduRJcuXfDBBx9gxYoV+U6Uci+7O7TKli2Lb775BsuWLUOrVq0AAIsXL0bVqlWxZ88eNGrUyB4pE9FjILu7VgHgxo0buHHjBs6ePQvg0fVv3t7eCAkJQfHixe2ZOpFd5fn06Pbt29G9e3ejCZte+/bt0b17d2zbti3PyZH1ZF1X8ODBg0hLS0ObNm3UmCpVqiAkJISntYmoQOnvWg0PD0fr1q2xf/9+9a5VAPjqq68QERGBgQMHAnj0iKmIiAisXbvWnmkT2V2ej7TFxcWhfPny2caUL18ecXFxea2CrMDcHVoxMTFwcXGBn5+fQXypUqVw48YN+yRLRI+F7O5aBYDJkydzuSwiE/J8pC0oKAh79uzJNmbv3r0ICgrKaxVkBZasK0iObdq0aXjiiSfg7e2NkiVLomvXrjhz5oxBzLlz5/Dss88iICAAPj4+6NmzJ286oSKD+wA9LvI8aevSpQu2b9+OiRMnIjk52eC15ORkTJo0Cdu2bcMzzzyT7yQp78zdoRUYGIjU1FSjNf3+/fdfBAYG2idZypOoqCgMHToUe/bswZYtW5CWlobIyEgkJSUBAJKSkhAZGQlFUbB161bs3LkTqamp6Ny5M3Q6nZ2zJ8o/7gP0uMjz6dGJEydi3bp1+Oijj7BgwQI0aNAApUqVwr///ov9+/fj1q1bqFChAiZOnGjNfCmf9Hdo1atXD87Ozvjzzz/RrVs3AMCZM2dw+fJlPpXcwWzcuNHg9yVLlqBkyZI4ePAgmjdvjp07d+LixYs4fPgwfHx8AADfffcdihUrhq1btxpc10jkiLgP0OMiz5M2f39/7NmzB2+//TZWrFiB9evXq6+5ubmhf//+mDFjBu/0saPs7tDy9fXFgAEDMHr0aBQvXhw+Pj4YPnw4GjduzDtHHZz+OlL9vpeSkgJFUeDq6qrGuLm5wcnJCTt27OAfLCpyuA9QUZWvFRFKlCiBb7/9FgsWLMDp06fVFRGqVKkCZ2dna+VIeZTduoIAMHv2bDg5OaFbt25ISUlBu3bt8OWXX9o5a8oPnU6HkSNHomnTpqhRowYAoFGjRvD09MTYsWPx0UcfQUTwzjvvICMjA9evX7dzxlTYOPrSa9wHqCjL9TVtU6dOxfjx45GWlqZuc3Z2Rs2aNdG0aVPUrFkTIoIJEyZg+vTpVk2Wcuebb77BxYsXkZKSgps3b+KPP/5QJ2zAo2+a8+bNw927d5GUlIRVq1bxejYHN3ToUBw/ftzg2YgBAQFYuXIlfvvtN3h5ecHX1xf3799H3bp14eSUr0VRiAod7gNUlOVqtP7xxx9477334O/vn+2RNBcXF/j7+2PChAl8ThuRjQwbNgzr1q3Dtm3bULZsWYPXIiMjce7cOdy8eRO3b9/G//3f/+Hq1auoUKGCnbIlypkld4XeuHEDvXv3RmBgIJydnfHNN9/g7bff5j5ARVKuJm3ff/89ihUrhmHDhuUYO3ToUBQvXhyLFy/Oc3JElDMRwbBhw7B69Wps3bo12+cnlihRAn5+fti6dStu3ryJLl262DBTotzJ6a5QAOjTpw9Onz6NJ598Ev7+/hg6dCiGDx+Ow4cPmyyT+wA5slxd07Zr1y60adPG4GJOc1xdXdGmTRuuY0lUwIYOHYply5ZhzZo18Pb2Vh+O7OvrC3d3dwD/LVEWEBCA3bt344033sCoUaMQHh5uz9SJspXTXaHAo79LDRs2xJYtW7BmzRqEh4djyZIl2Lp1K6pUqcJ9gIqUXB1pu3btWq4OJZcvXz7XF3kmJydj9OjRaN68OYKCguDm5obAwEA0bdoUixcvNriWTi8+Ph6jR49GuXLl4OrqitDQUIwZMwaJiYm5qpvIEc2fPx9xcXFo0aIFSpcurf78+OOPasyZM2fQtWtXVK1aFR988AEmTJiAmTNn2jFrotzLelcoADRp0gRbt2412Afu37+Pt956i/sAFTm5OtLm5ORkctJkTlpaWq4v8kxMTMT8+fPRoEEDdOrUCQEBAbh37x42bNiAV155BStWrMCGDRvUcpOSkvDUU08hJiYGkZGRePHFF3H48GHMnDkTUVFRiI6OhpubW65yIHIkIpJjzPTp03ljEBVqOd21auquUAD46aef8Pzzz2Pz5s3QarXw8PDAypUrERkZaVAW9wEqCnI1aQsKCsLx48ctjj9+/DjKlCmTq4SKFy+OuLg4uLi4GGxPT09H27ZtsXnzZmzYsAGdOnUCAHz88ceIiYnB2LFjDXbId955BzNmzMDs2bMxbty4XOVARESFi/6u0B07dhhsnzhxIu7fv48//vgDJUqUwK+//oqePXvir7/+Qs2aNe2ULVHByNVhsCeffBJbt27FxYsXc4y9ePEitm7dql53YHFCTk5GEzYA0Gq1ePbZZwEAZ8+eBfDoCMPXX38NLy8vo5UXJk6cCC8vL3z99de5qp+IiAoXc3dGnzt3Dl988QW+/fZbtG7dGrVr18akSZNQv359zJs3z44ZExWMXE3ahg4dirS0NHTv3h23b982G3fnzh306NED6enpeO211/KdJPDo0Lj+olT9ofHY2Fhcu3YNTZs2haenp0G8p6cnmjZtivPnz+PKlStWyYGIiGwnpzujHzx4AABGl+FoNBquKUpFUq5Oj9atWxcjR47EnDlzUK1aNQwZMgQtW7ZUv/lcvXoVf/75JxYuXIhbt25h9OjRqFu3bp4SS01NVZ9cfefOHfz55584ffo0+vfvj9atWwN4NGkDgLCwMJNlhIWFYdOmTYiNjUVwcLDJmJSUFKSkpKi/x8fHA3h0PZ7++j0nJydoNBpkZGQYfBDot6enpxtcV6TRaODk5GR2+6NyjZ9zl/V6Qa1WC0AxmbdOp0NGRkamLabLUxQFWq3WbO7WaJOpub8+Jj093USbjLc7OztnalP2701u22SuPMv6Kefcs2uTOZb2X8GMvfy1KWvu+v6wtP8cs02G2wtyfzJ3HbCI2KhNlvWf9fvJuN7XXnsNK1aswC+//AJvb29cu3YNGRkZ6p3RlSpVQqVKlTB48GBMnz4dxYsXx9q1a7FlyxasW7euwPvJXJtMfW6b6r/COPaK4v7kKG2yRK6XsZo1axbc3NzwySefYOrUqZg6darB6yICjUaDcePGYcqUKbktXpWamor3339f/V1RFLz11luYNm2auk1/J5Gvr6/JMvQLA+vjTJk2bZpBPXqbN2+Gh4cHACAkJAQRERE4evQoLl++rMaEh4ejSpUq2LdvH27duqVur1OnDsqVK4fo6GgkJCSo2xs3boySJUti8+bNADoZ1Zl5/VYA6NixI0x9kAHA7du3sXv37kxbnjFZXkBAAJo0aYLY2FicOXMG6y5kjdPg6fLr8tUmoKRR3QkJCXB3dzfZpocPHxo8dFmr1aJTp06Z2mS6LXpZ26Rnrp/MlWdJP2XekVq2bJnrNplz5coVxMTE5JhjQYy9/LYp69jz9vZGq1atMrUp+/5zzDY9ktuxl9c2mZKenm6jNmXffwXXT8b1LliwAACM1gYdPnw4WrduDW9vb6xfvx4jRoxAx44dkZycjNKlS+Pdd99Fx44dcfr06QLtJ3NtMvW5nZCQ4BBjryjuT47QpoMHD8ISilhy65kJ586dw+LFi7Fr1y71uVD6R3P069cPFStWzEuxRnQ6Ha5du4bffvsN48ePR/Xq1bF+/Xr4+Phg2bJl6NWrFyZMmGBygjhhwgR89NFHWLVqlXo9XFamjrQFBwfj9u3b6qSvIGb9r88z3qm/HGr8bWDQZ8bf2BaNND5SY668rLP+nOrNS5sGzzU+MrDwjbwfacspx9x+kzFXni2+nZm7I87S/nPEb5yWjjFHalPW7QV9ZMDUuFn4hm2OtBXEZ4Ql/ZRTvYWxn8y1ydTntqn+c6Q2OfL+5Ahtunv3Lvz9/REXF6fOPUzJ84LxFStWzNeRNEs5OTmhbNmyeO2111CiRAn07NkTU6dOxYwZM9QjbOaOpOlPdZo7Egc8egiwqYcFOzs7G53e0mg0/zsdaOi/Q+KWbTd32iy702lZOTk55fg4lczlmcvdXL25bVNWiqKYLdvc9uzaZCreXJuya6up8qzVT/bov4Iee7npJ2v1nyO0KbdjL7/7E/Bon7JHm8yVb4vPvayvFbZ+ys0+b67/HKVNjrw/OXKbjOqzKKqQ0D93Z/v27QD+u5ZNf21bVjld80ZE5CgsWYcTAHbv3o1WrVrB09MTPj4+aN68OR4+fGiHjInI2hxq0nbt2jUA/82Cw8LCEBQUhJ07dxqsRQc8eujuzp07Ub58ebM3IRAROQpL1uHcvXs32rdvj8jISOzbtw/79+/HsGHDcv2QcyIqnArdnnzy5En1Nu7MHjx4gNGjRwPQX6D/6HDzq6++isTERHz44YcG8R9++CESExMxcODAgk+aiKiAbdy4Ef369UP16tVRu3ZtLFmyBJcvXza4gHnUqFEYMWIE3nnnHVSvXh3h4eHo2bOnRetFE1Hhl+dr2grKTz/9hE8//RTNmjVDaGgofHx8cPXqVWzYsAF37tzBk08+iVGjRqnxb7/9NtasWYMZM2bg8OHDqFu3Lg4dOoTNmzfjiSeewMiRI+3XGCI7yWlJIHJ8WdfhvHnzJvbu3YtevXqhSZMmOHfuHKpUqYKpU6eiWbNm9kzVbrgfUFFT6CZtTz/9NK5du4Zdu3Zh9+7dSExMhK+vL2rVqoUXXngBr7zyisEFe56enoiKisLkyZPxyy+/YNu2bShdujTefPNNTJo06X+3XxMRFR2m1uE8f/48AGDy5MmYOXMm6tSpg++//x6tW7fG8ePHeW0vURFQ6E6P1q9fHwsXLsTx48dx7949pKWl4fbt29i6dSsGDRpk8g4LX19fzJ49G5cvX0ZqaiouXbqEmTNnwtvb2w4tIKLCwpKL91u0aAFFUQx+hgwZYqeMLaNfh3PFihXqNv1jBAYPHoz+/fsjIiICs2fPRnh4OL799lt7pUoFpKiObcpeoZu0ERFZiyUX7wPAwIEDcf36dfXn448/tlPGOTO3Dmfp0qUBANWqVTOIr1q1apaHTVNRUBTHNuWs0J0eJSKyFv16xXpLlixByZIlcfDgQTRv3lzd7uHhgcDAQFunlysiguHDh2P16tXYvn270TqcoaGhCAoKMjra8vfff6NDhw62TJVsoCiNbbIcJ21E9NjIevG+3g8//IClS5ciMDAQnTt3xsSJE9Vl7AqLoUOHYtmyZVizZg28vb3VlWj063AqioIxY8Zg0qRJqF27NurUqYPvvvsOp0+fxs8//2zn7K2HNxeY5shjmyzHSRsRPRZMXbwPAC+99BLKlSuHoKAgHD16FGPHjsWZM2ewatUqO2ZrbP78+QAeXaeU2eLFi9GvXz8AwMiRI5GcnIxRo0bh7t27qF27NrZs2WK1ZQWpcHL0sU2W46SNiB4L+ov3d+zYYbB90KBB6v/XrFkTpUuXRuvWrXHu3LlCNdmxdJnod955B++8804BZ0OFiaOPbbIcb0QgoiLP3MX7pjRs2BAAcPbsWVukRpQv9hjbli6pBjz6stGhQwcoioJff/01X/USJ21EVISJCIYNG4bVq1dj69atRhfvmxITEwPgv7sxiQoje45tS+9cBYA5c+ZAUZR81Uf/4elRIiqycrp4/9y5c1i2bBk6duwIf39/HD16FKNGjULz5s1Rq1YtO2dPZJ49x7ald67GxMRg1qxZOHDgAL8EWQknbURUZOV08b6Liwv++OMPzJkzB0lJSQgODka3bt3w7rvv2iFbIssVprFt6s7VBw8e4KWXXsK8efP4yBEr4qSNiIqsnC7eDw4ORlRUlI2yIbKewjK2zd25OmrUKDRp0gTPPPNMgefwOOGkjYiIiPLE1J2ra9euxdatW3H48GE7ZlY08UYEIiIiyjVzd65u3boV586dg5+fH7RarbpmeLdu3YxO51Lu8EgbERERWSynJdXeeecdvPrqqwbbatasidmzZ6Nz5862TLXI4aSNiMhBcUknsoec7lwNDAw0efNBSEiIRY8mIfN4epSIiIgsNn/+fMTFxaFFixYoXbq0+vPjjz/aO7Uij0faiIiIyGKWLqmW339DxnikjYiIiMgBcNJGRIVGTmsa3r17F8OHD0d4eDjc3d0REhKCESNGqA/3JCIqynh6lIgKDf2ahk888QTS09Mxfvx4REZG4uTJk/D09MS1a9dw7do1zJw5E9WqVcOlS5cwZMgQXLt2DT///LPF9fACfiqqOLaLNk7aiKjQyGlNwxo1auCXX35RX69YsSKmTp2Kl19+Genp6erzoIiIiiKeHiWiQsvUmoamYnx8fDhhI6Iij5M2IiqUzK1pmNnt27fx4YcfYtCgQTbOjojI9vjVlIgKJVNrGmYWHx+PTp06oVq1apg8ebJtkyMisgNO2oio0NGvaRgdHW2wpqFeQkIC2rdvD29vb6xevRrOzs52yJKIyLY4aSOiQiOnNQ2BR0fY2rVrB1dXV6xduxZubm52yJSIMuNdq7bBSRsRFRo5rWkYHx+PyMhIPHjwAEuXLkV8fDzi4+MBAAEBAdBoNPZMn4ioQHHSRkSFxvz58wEALVq0MNi+ePFi9OvXD4cOHcLevXsBAJUqVTKIuXDhAkJDQ22RJhGRXXDSRkSFRk7rE7Zo0YJrGBLRY4uP/CAiIiJyAJy0ERERETkATtqIiIiIHAAnbUREREQOgJM2IiIiIgfASRsRERGRA+CkjYgoF6Kjo9G5c2cEBQVBURT8+uuvBq//+++/6NevH4KCguDh4YH27dsjNjbWPsmSQ+IYI3M4aSOiQm3gHOMfe0pKSkLt2rUxb948o9dEBF27dsX58+exZs0aHD58GOXKlUObNm2QlJRkh2zJEXGMkTl8uC4RUS506NABHTp0MPlabGws9uzZg+PHj6N69eoAHq3yEBgYiOXLl+PVV1+1ZarkoPIzxgCOsaKMR9qIiKwkJSUFAAwWsXdycoKrqyt27Nhhr7SoCOEYe7xx0kZEZCVVqlRBSEgIxo0bh3v37iE1NRUzZszAP//8g+vXr9s7PSoCOMYeb5y0ERFZibOzM1atWoW///4bxYsXh4eHB7Zt24YOHTrAyYkft5R/HGOPN/YwEZEV1atXDzExMbh//z6uX7+OjRs34s6dO6hQoYK9U6MioiiOsZzumE1MTMSwYcNQtmxZuLu7o1q1avjqq6/sk6wdcdJGRFQAfH19ERAQgNjYWBw4cADPPPOMvVOiIqYojbHs7pgFgNGjR2Pjxo1YunQpTp06hZEjR2LYsGFYu3atjTO1L949SkSUC4mJiTh79qz6+4ULFxATE4PixYsjJCQEK1euREBAAEJCQnDs2DG88cYb6Nq1KyIjI+2YNTmS/IyxlSftmHg+ZHfHLADs2rULffv2RYsWLQAAgwYNwoIFC7Bv3z506dLFRlnaH4+0ERHlwoEDBxAREYGIiAgAj44ARERE4L333gMAXL9+Hb1790aVKlUwYsQI9O7d+3+PYiCyDMeYsSZNmmDt2rW4evUqRATbtm3D33///dh9GeKRNiKiXGjRogVExOzrI0aMwIgRI2yYERU1HGPGPv/8cwwaNAhly5aFVquFk5MTFi1ahObNm9s7NZvipI2IiIgKtc8//xx79uzB2rVrUa5cOURHR2Po0KEICgpCmzZt7J2ezXDSRkRERIXWw4cPMX78eKxevRqdOnUCANSqVQsxMTGYOXPmYzVp4zVtREREVGilpaUhLS3N6Dl0Go0GOp3OTlnZB4+0ERERkV3ldMfsU089hTFjxsDd3R3lypVDVFQUvv/+e3z66ad2zNr2OGkjIiIiuzpw4ABatmyp/j569GgAQN++fbFkyRKsWLEC48aNQ69evXD37l2UK1cOU6dOxZAhQ+yVsl1w0kZERER2ldMds4GBgVi8eLENMyqcOGkjIsqngXOMty0aaessqKji+CI93ohARERE5AA4aSMiIiJyAJy0ERERETkATtqIiIiIHAAnbUREREQOgJM2IiIiKhDR0dHo3LkzgoKCoCgKfv31V4PX+/XrB0VRDH7at2+PgXNg9GOLegs7TtqIiIioQCQlJaF27dqYN2+e2Zj27dvj+vXr6s/y5csdtt6Cxue0ERERUYHo0KEDOnTokG2Mq6srAgMDi0S9BY1H2oiIiMhutm/fjpIlSyI8PByvvfYa7ty5U6TrzQ8eaSMiIiK7aN++PZ577jmUL18e586dw/jx49GhQwfUfGE3nJw0Nq939+7d0GgKrt784qSNiIiI7OKFF15Q/79mzZqoVasWKlasiBL1t6NM5dY2r3f79u1o3brg6s0vnh4lIiLKIqe7DzMbMmQIFEXBnDlzbJZfUVWhQgWUKFEC8bfP2qXes2dtW29ucdJGRESUhSV3HwLA6tWrsWfPHgQFBdkos6Ltn3/+wZ07d+DhU9ou9ZYubdt6c4unR4mIiLKw5O7Dq1evYvjw4di0aRM6depko8wcS2JiosHRqwsXLiAmJgbFixdH8eLF8f7776Nbt24IDAzEuXPn8Pbbb6NSpUooW6WdXept1y5/9RY0HmkjIiLKJZ1Oh969e2PMmDGoXr26vdMptA4cOICIiAhEREQAAEaPHo2IiAi899570Gg0OHr0KLp06YLKlStjwIABqFevHv766y9otK52qdfVNX/1FrRCeaRt6dKl+Ouvv3Dw4EEcO3YMqampWLx4Mfr162cUO3nyZLz//vtmy7pw4QJCQ0MLLlkiInrszJgxA1qtFiNGjLB3KoVaixYtICJmX9+0aVORqregFcojbe+++y4WLlyIS5cuWXx+uW/fvpg0aZLRj5+fX8EmS0VeThckT548GVWqVIGnpyeKFSuGNm3aYO/evfZJ1koexzZT/j0u4+bgwYP47LPPsGTJEiiKYu90rOZx6T9HVignbV9//TUuXryIW7duYciQIRb9m379+mHy5MlGP5y0UX7ldEFy5cqV8cUXX+DYsWPYsWMHQkNDERkZiVu3btk4U+t5HNtM+fe4jJu//voLN2/eREhICLRaLbRaLS5duoQ333zToc/sPC7958gK5enRNm3a2DsFIlVOFyS/9NJLBr9/+umn+Oabb3D06FEAhfd5P9l5HNtM+fe4jJvevXsb/Z1q164devfujf79+2PmBjsllk+PS/85skI5acuL6Oho7N27F05OTggLC0ObNm3g5eVl77ToMZOamoqFCxfC19cXtWvXxopj9s6o4D2Obab8K+zjJru7D0NCQuDv728Q7+zsjMDAQISHhwMOOmnLjcLef0VVkZm0TZo0yeB3Pz8/fPbZZ+jTp0+2/y4lJQUpKSnq7/Hx8QCAtLQ0pKWlAQCcnJyg0WiQkZEBnU6nxuq3p6enG1zwqNFo4OTkZHb7o3KdjXLR16en1WoBmL5eQqfTISMjI9MW0+UpigKtVpsp9+zrzUubTJ1l18ekp6ebaJPxdmdn50xtyj5H4zYZ5p51u7nyLOsn07lnfk2r1WLdunV48cUX8eDBA5QuXRobNmxAiRIljOrVs7T/8jr2zMmuTdlt17c5cz/9/vvvePnll9U2b9q0Cb6+vjnWm9s25dR/eWuTZWMsaz+ZG3s59V9uPyNMERGjNpmr13B/ym2brPcZkZ6eDp1OZ9BPWcfNhg0bLBo3+jaZ+rwx1yZzLBl7e/bsQdu2bdWY0aNHA3h0lG3JkiUmx56I/O/fG39um+o/y/vJfJ8Y70/Z919uPvey9iWQt/7L7f70aB8wXkoqIyMjH39z/2Pp555e/van/9qU0+eeJRx+0la7dm18++23aNGiBUqXLo0bN25g3bp1eO+999CvXz/4+fmhS5cuZv/9tGnTTN59unnzZnh4eAAAQkJCEBERgaNHj+Ly5ctqTHh4OKpUqYJ9+/YZnNOvU6cOypUrh+joaCQkJKjbGzdujJIlS2Lz5s0AjJ/ps379eoPfO3bsCFM7IADcvn0bu3fvzrTlGZPlBQQEoEmTJoiNjcWZM2fMxuWnTUBJozITEhLg7u5usk0PHz7Etm3b1G1arRadOnXK1KbsczRu0yPm+slceZb0U+YdqWXLlgAeXYTs7Pxfv3Ts2BH169fHzJkzER8fj82bN+PZZ5/93ykD4/cGAK5cuYKYmJgcc8zr2DPHVJss6aeDBw/C3d3doJ9SUlIwc+ZMpKen4/Dhw+jevTumTJkCoK/Jtujltk3m3pvs+innNmU/xry9vdGqVSujfjI39syVl9fPCFPS09ON2mSq3s2bN2fZn3LbJut9Rhw8eBDNmzc36Cf9uAkLC8PSpUvRtWtXfPzxx8hu3GT+jDC1T5lrkzmWjr2LFy+iXLly2Lp1q0E/3b5922jsffbZZ2jZsqXZLwUJCQk5fO49YrqfzPeJ8f6Uff/l5nPv4MGDiIyMNNif9P1Xo0YNLFiwwKL+y9ymKauNP5/ebG/8WQ5EGMXFxsbm+W9ueno61l3I+t444+nya9TfLPv7BKM2WfIZkdPn3sGDB43aa4oi2d0TWwhMnz4d48aNM/vID3P+/PNPtG3bFjVq1PjfH0/TTB1pCw4Oxu3bt+Hj4wOgYI60vT7PeKf+cqjxt4FBnxl/Y1s00vibpbnyss76c6o3L20aPNf4m+/CN/J+pC2nHHP7TcZceXn5dubk5ISVK1fimWeeMdietU3VqlXDK6+8gvPu44zqzk3/5XXsDZxjVBwWjczbkTYXFxe1zdl94wwLC0Pfvn1xyetdk23Jmrulbcqp//LSJkvHmKXfonPqv9x+Rpjqv4VvGB+pMVdvfo4MWOszQj9unnvuuWz7qXLlyhaNG32bTH3eLBhhuk3m9gPrnjUxbpOpz21T/WdpP2XXJ1n3p5z6z9I26fuvW7duAMzvT5b0X+Y2meq/r4Yb98eQz42PtH01PH9H2nJ6b+x5pO3u3bvw9/dHXFycOvcwxeGPtJnTunVrVKxYEceOHUN8fLzZN8HV1dXkw/ScnZ0NjqYAjwbAo9OBhswdhje3PWu5OW03xcnJKdvTYFnLM5e7uXpz26as9LfB56at2bXJVLy5NmXXVlPl5baftFqtydcyb9PpdI++DLibrt9a/Wdpf5gqMzfbM7fZXO46nc7sIf7c9J8lbcpcXl7bZMl2c2211hjLTf8pimLRZ0RO/ZSXNuX1M0L/RcdcGUDuxo25fcaS/Smzgv4sN8Vc/+W2n8zVba3+yzpuc/ost0b/WbI/6eP0eZmSl37K6bNcz1r7U34/ywvlIz+sRX9N0YMHD+ycCTmyxMRExMTEqIfA9RckX758GUlJSRg/fjz27NmDS5cu4eDBg3jllVdw9epV9OjRw76J58Pj2GbKP44bx8b+K/yK7JG2pKQknDhxAp6entleEE6UkwMHDqjXswH/XZDct29ffPXVVzh9+jS+++473L59G/7+/njiiSfw119/PVraZou9ss6fx7HNlH8cN46N/Vf4OfSkLSEhAdevX0flypUNtj98+BADBw5EQkIC+vfvn+tTSESZ5bQcyqpVq2yYjW08jm2m/OO4cWzsv8KvUM5mvv76a+zYsQMAcOzYMXXb9u3bAQDNmjXDq6++ijt37qBKlSp44oknULVqVQQGBuLff//FH3/8gX/++Qc1a9bEJ598Yq9mEBFREWLuxgYiWymUk7YdO3bgu+++M9i2c+dO7Ny5U/391VdfRfHixfH6669j3759WL9+Pe7duwd3d3dUrVoVI0aMwLBhw+DubuZKcCIiIiIHUignbUuWLMGSJUtyjPPx8cEXX3xR8AkRERER2VmRvnuUiIiIqKjgpI2IiIjIARTK06NEhd3jeEHy49hmyj+OG8fG/itceKSNiIiIyAFw0kZERETkADhpIyIiInIAnLQREREROQBO2oiIiIgcACdtRERERA6AkzYiIiIiB8BJGxEREZED4KSNiIiIyAFw0kZERETkADhpIyIiInIAnLQREREROQBO2oiIiIgcACdtRERERA6AkzYiIiIiB8BJGxEREZED4KSNiIiIyAFw0kZERETkADhpIyIiInIAnLQREREROQBO2oiIiIgcACdtRERERA6AkzYiIiIiB8BJGxEREZED4KSNiIiIyAFw0kZERETkADhpIyIiInIAnLQREREROQBO2oiIiIgcACdtRERERA6AkzYiIiIiB8BJGxEREZED4KSNiIiIyAFw0kZERETkADhpIyIiInIAnLQREREROQBO2oiIiIgcACdtRERERA6AkzYiIiIiB8BJGxEREZED4KSNiIiIyAFw0kZERLkyf/581KpVCz4+PvDx8UHjxo2xYcMGe6dFVORx0kZERLlStmxZTJ8+HQcPHsSBAwfQqlUrPPPMMzhx4oS9UyMq0rT2ToCIiBxL586dDX6fOnUq5s+fjz179qB69ep2yoqo6OOkjYiI8iwjIwMrV65EUlISGjdubO90iIo0TtqIiCjXjh07hsaNGyM5ORleXl5YvXo1qlWrZu+0iIo0XtNGRES5Fh4ejpiYGOzduxevvfYa+vbti5MnT9o7LaIijZM2solp06bhiSeegLe3N0qWLImuXbvizJkz9k7LoRSl97AoteVx5eLigkqVKqFevXqYNm0aateujc8++8zeaREVaZy0kU1ERUVh6NCh2LNnD7Zs2YK0tDRERkYiKSnJ3qk5jKL0HhalttAjOp0OKSkp9k6DqEjjNW1kExs3bjT4fcmSJShZsiQOHjyI5s2b2ykrx1KU3sOi1JbH0bhx49ChQweEhIQgISEBy5Ytw/bt27Fp0yZ7p0ZUpHHSRnYRFxcHAChevLidM3FcRek9LEpteRzcvHkTffr0wfXr1+Hr64tatWph06ZNaNu2rb1TIyrSOGkjm9PpdBg5ciSaNm2KGjVq2Dsdh1SU3sOi1JbHxTfffGPvFIgeS7ymjUyKjo5G586dERQUBEVR8Ouvv1qt7KFDh+L48eNYsWJFvsqxdo4F2WZrK6zvYV4U1rYUxHtjr/e7MPRzYWXP94bjIf+K0n5qCU7ayKSkpCTUrl0b8+bNs2q5w4YNw7p167Bt2zaULVs2X2VZO8eCarO1Feb3MLcKc1sK4r2x1/tt734uzOz53nA85F9R2k8twdOjZFKHDh3QoUMHq5UnIhg+fDhWr16N7du3o3z58vku09o5Wrs8a3OE99BSjtCWgnhv7PV+F0S9A+cYb1s00qpV2IQ99/uiNB7spSjtp5bgpI1sYujQoVi2bBnWrFkDb29v3LhxAwDg6+sLd3d3O2fnGIrSe1iU2kJEZCs8PUo2MX/+fMTFxaFFixYoXbq0+vPjjz/aOzWHUZTew6LUFiIiW+GRNrIJEbF3Cg6vKL2HRaktRES2wiNtRERERA6AR9rIZorKhcv2VJTew6LUFiIiW+CkjUxKTEzE2bNn1d8vXLiAmJgYFC9eHCEhIXbM7D/WztER2mxtRanNjjAe7PV+F6V+tjZ7vjccD/lXlPZTS3DSRiYdOHAALVu2VH8fPXo0AKBv375YsmSJnbIyZO0cHaHN1laU2uwI48Fe73dR6mdrs+d7w/GQf0VpP7UEJ21kUosWLQr9xeLWztER2mxtRanNjjAe7PV+F6V+tjZ7vjccD/lXlPZTS/BGBCIiIiIHwEkbERERkQMoMqdH9+/fj0mTJmHXrl1IS0tDzZo1MXr0aPTs2dPeqTkkU3f2AYXr7j5r333oCG0uCEXlLs6CaIctxpit3uui0s8FwV7vDceDdRSl/TQnRWLStm3bNrRr1w5ubm544YUX4O3tjV9++QXPP/88rly5gjfffNPeKRIRERHli8OfHk1PT8fAgQPh5OSE6OhoLFy4ELNmzcKRI0dQuXJljB8/HpcuXbJ3mkRERET54vCTtq1bt+LcuXN46aWXUKdOHXW7r68vxo8fj9TUVHz33Xf2S5CIiIjIChz+9Oj27dsBAJGRkUavtWvXDgAQFRVl9t+npKQgJSVF/T0uLg4AcPfuXaSlpQEAnJycoNFokJGRAZ1Op8bqt6enpxvcHqzRaODk5GR2e1paGlKTnY1yuXMnzeB3rVaL1GTFKC4+HtDpdMjIyFC3mStPURRotVo195zq1bcpNdkoDABw965xm1KTjef+cXGPYtLT03PMEQCcnZ3VNuWUo75NpnKMj4dRP5krL2s/mYrLXLdWq1XbZEn/OTs7m83R0v7LOvZyqlffJnP16se0nrkxlpv+0/eHpf2X3RiLj4fRfpNT/+nblFO9uek/a42xrJ8R+em/uDgx6I/s6s28P+UUa83PiNz0X+b+yC5OT98mU5839+8bttWWnxGmxpi5fcqS/rt7N91gf8ouP8D475O1PyOs0X+ZPyNM9d+9e8Z/W1OTNSbjTP3NtfZnhKn+MzfGsu5nWfenzG3Kbh5x9+5dABasyywOrnv37gJADhw4YPJ1Ly8vCQ4ONvvvJ02aJAD4wx/+8Ic//OEPf+z6c+XKlWznPIpIIX2CnIUiIyOxZcsWxMbGolKlSkavlylTBomJieoRtKyyHmnT6XS4e/cu/P39oSjGs21rio+PR3BwMK5cuQIfHx+rxBaVOEfIkW1mm/MS5wg5ss1sc17iHCHHgmizNYgIEhISEBQUBCcn81euOfzp0fxydXWFq6urwTY/Pz+b5uDj42PxoLA0tqjEOUKObHP+4xwhR7Y5/3GOkCPbnP84R8ixINqcX76+vjnGOPyNCPpGmjuSFh8fb9EbQURERFSYOfykLSwsDAAQGxtr9NqNGzeQmJioxhARERE5KoeftD311FMAgM2bNxu9tmnTJoOYwsbV1RWTJk0yOj2bn9iiEucIObLN+Y9zhBzZ5vzHOUKObHP+4xwhx4Josy05/I0I6enpCA8Px9WrV7Fnzx71WW1xcXFo0KABLl68iDNnziA0NNSueRIRERHlh8NP2gDzy1hdunQJM2fO5DJWRERE5PCKxKQNAPbt22dywfjnn3/e3qkRERER5VuRmbQRERERFWUOfyMCERER0eOAkzYiIiIiB8BJWxFg6Rlua8flhrXLLOzl5aZMe/WLI7TZ2vXau0xrehz354Jos7362Z77QFFps7Vlzk+n0xXKfDlpKwIsXSPV2nG5Ye0yC3t5+jJ1Op3V6n4c22zteu1dZlpamtXKKmr7s7X3FUv7zl79bM99wJ5ttrReS/cVa+9TCQkJSElJgZOTk9pHIlJoJnCP/dqjhYmIQFEUpKam4siRI4iLi1OfL1esWDH4+/sbxN+/fx87duxAUlISSpYsCY1Gg3LlyqFcuXJ5irt06RI2b96M5ORkuLu7w9vbGzVq1ED16tXz3CZL6tbpdNkukFuQORZEmw8fPox169YhOTkZABAQEIDGjRujYcOGBnH26hd7ttnadVtar73KzMjIwObNm/Hbb78hOTkZDx8+REhICNq0aYO2bdvmKT977s/26j9L681N39mrn+25D9irzZbUa2l5BbFPJScn44cffsCGDRuQkJCA+Ph4VKhQAV26dEHbtm1RvHhxNVY/eSuIL0MWESo0UlJSZP369VK+fHnx8vISRVFEq9VKlSpVpFevXvLVV1/J0aNHJT4+XpYvXy7FihUTRVFEURRxcnKSkiVLSvPmzWXcuHHyxx9/yL///mtR3LVr12TevHni4uKixunrDg0NlRdffFF++OEHuXHjhsVtSU5Otqju+/fvi4iITqeTtLQ0ycjIMFleUlKSVXO0dnkiIgkJCTJlyhS1LHd3d/X/NRqNNGnSRGbPni2nT5+2S7/Ys80nT560at2W1nv+/HlJTU21S5lxcXEyevRotYxSpUoZtL106dLy9ttvy7Fjx+Tu3btG/16n0xn8buk+VRD7s7XHjrXHzblz5ywq78KFC3br50OHDtnlPbRnmw8cOGBRvUePHrWovP3791sUd+rUKUlLS7Nov7p3757069dPFEURFxcXqVy5smi1WrVMLy8v6d27t+zevVsuXbqUY3kFjY/8KEQWL16Mt956C97e3ujWrRtSUlLw4MEDxMbG4tixY0hKSkLt2rURHh6ONWvWICwsDL169UJGRgZSUlJw4sQJ7NixA9evX0fZsmVRrVo17NixI8e48PBw/PXXX2jatCn69+8PRVGQnp6Ow4cPY/369Th79ixcXV1Rr149tGnTBsOGDUOJEiWybcuCBQvw5ptv5lh3gwYN0KtXLzz77LPqvxURZGRkQKPRqN9mPv/8c4wZM8ZqOWYur2/fvtBoNCbLe/bZZ1GnTh0EBASgc+fO2ZY5e/ZsvP322+jcuTMGDhwIDw8PAMCePXuwYsUKHDlyBABQvnx5XLt2DVWqVLFpv9izzaGhofjnn3/w5JNPWqUtltZbqVIl1K1bF2PGjEGlSpXg4+Nj9huyvsynn34aQ4YMgZubW77KnDlzJsaNG4eXX34ZgwcPRkBAADQaDbZt24ZVq1Zhy5YtSE1Nha+vLypXrowxY8agdu3aKFu2LNzd3Y3Ky7xPPf/881AUJV/jJjf9bOnYsXb/WTpuqlatiqNHj6JLly4YPHiw2b5r3LgxKleujKVLl6Jz587Zxlq7n318fJCUlITmzZvbdB+wd5sTEhLQpUuXbPepkJAQ/PPPP+jduzeGDh2KYsWKmSzP29sbiYmJ6N27N4YNG2Y2LigoCM2aNYO7uzs6d+6MmjVrmt2vpk+fjvfeew+vv/46Bg8ejPLlyyM1NRXbt2/Hpk2bsGXLFpw9exYiguDgYAwaNAgtW7ZE1apVDY7AAf+dLdNLTk5W22w1Np0iUrbCw8OlSZMmEhMTo25LTEyUc+fOyYYNG+Ttt9+WypUrCwDx8/OT1atXq3EpKSly//59OXHihMybN0+aNWsmAMTT01O+//77HOO8vLxk+fLlapz+20NCQoKsW7dOnnvuOQEgAKRYsWIyYMAA2bJlizx48MBkW8LCwqRFixby1VdfSVRUVLZ1A5BSpUrJuHHj5O+//zYoJz09XdLT06VSpUrSrl07OXPmjOzdu1fOnz+frxz15Z06dUp+//13iYqKMlmeq6urODk5iaIoEhgYmGOZnTp1krNnz6plZnb8+HEZMmSIODk5ibOzs0yZMkWt0xb9UhjaPH36dLXO/LbFknoVRVH3g86dO8uiRYvk9OnTkpSUZLLMDh06yKxZs+SHH34w+gad2zIrVaoknTt3lvPnz8uSJUtk6dKlBmVeunRJ3nvvPXFychIA4uLiIg0aNJB3331XNm/eLFeuXDE46hEWFiYtW7aUmJgY+eSTT2T69Ony8OHDPI+b3PazJWPH2v1n6bjRH8VZtGiRUV2Zy/P19RUnJyepVauWyaMmBdnPGo1GnJycZMyYMZKWlma2LdZ+DwtDm9955x21zabqdXJyEhcXF5k5c6bodDqjfS9reePHj5e0tDSzcQEBAQJAPVLWsGFDs/tV5cqVpUuXLnLhwgX55JNPZOrUqQZnfK5fvy7z5s0TrVYrAESj0UhoaKj07t1bvv76a4mJiTH5eZKUlCRjx46VoUOHSnp6usn3PS84aSskjh8/Lk5OTjJjxgwReTRZyTogExIS5LvvvlN3rF69eklycrLRKcW0tDRZu3at+sfgqaeeknv37hmVl5aWJuvWrRONRmMQZ8quXbvUw8XOzs7q/4eFhcn48ePl0KFDah4nT54UrVYrgwcPlhIlSkifPn1M1r1mzRr1AyrzIe46derI559/rh7aPn36tLi6usqkSZMkKipKihcvLkOGDMlzjpnL27Fjh/j7+0u/fv2Myrt165ZMmDBBAIizs7NUqFDBbJmxsbHi4eEh77zzjlGZmfvy5MmTotFoxNvbW4oVKyZHjx61Sb/Ys82nT58WZ2dn8fLyUtucn7bkpl4nJyfRarWi1WrFx8dHFEWRMmXKSP/+/WXVqlVy+fJlSUlJkTNnzoiHh4f07t1bAgIC5Pnnn1fzykuZp06dEl9fX3njjTdk9+7dUqJECXnxxRdFp9MZlPf333+Li4uLetooODhYNBqN+Pn5Sfv27eXTTz+VXbt2yY4dO0Sr1cpHH30k+/fvl4CAAOnatWuex01u+tnSsVMQ/WfJuNm7d6+4uLiIRqORsLAwuXLlism+ExFZuHChKIoibm5ucuLECYM/pgXZz6dPnxYXFxcpVaqUaDQa+fPPP022xdrvoT3bHBsbK+7u7lKyZEmjNmeOO3funHh6eoqnp6dBP2ct79y5c+Lt7S0lSpQwKC9rnIjI+vXr1b+TTz/9tFSuXNnkfnXw4EEJCAiQgQMHqvvVs88+q+aod/bsWfH09BQ/Pz8BIOHh4eLu7i7Ozs5Su3ZtGTFihPz0008SGxsrKSkpIiJy6NAhKVWqlHTs2NFkX+cV7x4tJC5evAgPDw9otY/uDdHpdAZ3rgCAl5cXypUrB29vbzRq1AjLli1DVFSU0UX8Wq0WPj4+8PLyQtu2bREdHY0//vjD6DC3VqtFYGAgfH198eSTTyI6Ohrbtm0zmd+FCxcAAM8//zzS0tLQp08fdO/eHYmJiZg2bRrq1auHpk2bYu7cuYiJiYGHhwcuXryIO3fuoGPHjibrvnfvHhRFwTPPPAMRwYsvvognnngCR44cwYgRI+Dv74/27dtjzZo18PT0RHx8PI4fP4579+6hVatWec7x66+/hru7O+Lj47F//37cvXsXnTp1MiqvRIkSqFatGhRFQVpaGt58800sXLjQZJlLliyBh4cH/v33X6MyM5/mvXnzJjw9PdG1a1fcv38fGzdutEm/2LPNiYmJ8Pb2RmRkJO7fv4/Nmzfnqy2W1nv06FGICF5++WWkp6fjueeew1tvvYUyZcpg+fLl6NatG9q3b493330Xe/bsgZeXF06ePInbt2+jR48eal55KXPu3Llwd3fHuXPnEBUVhTt37qBbt25QFEUtT6fT4dixY0hLS8PLL78MAGjZsiXmzJmDNm3a4OjRo3jzzTfRo0cPTJo0Cc7Ozrh+/To2bNiAW7duoXfv3nkeN7npZ0vHjrX7z9JxU6xYMRQrVgxNmzbF2bNnDeIylwcALVq0gJ+fH5KTk7FhwwZoNBqb9HNCQgK8vLzQunVr6HQ6/PnnnybvRrT2e2jPNut0Ovj4+KBhw4ZGbc5cr4eHBwICAlC7dm2Dfs5anru7O/z9/VGjRg2D8rLGiYh6wwMA1KpVC4sXL8Znn31mtF9NmzYNzs7OOHz4MDZs2IDbt2+r+6L+fRIRHDt2DA8ePEDPnj3h5eWFunXrYvny5Rg+fDgyMjIwb948vPLKKxgwYACmTJmC7du3Y9WqVbh58yYGDBhgctzmmVWngJRnN2/elMDAQGnYsKF6cb6ISEZGhsE3iDt37kjVqlWldOnS4ubmJhMmTBAR429Xd+/elapVq0qZMmXEy8tLRowYYTIuISFBmjZtKp6enuLh4WEQl/kI3rRp00RRFPn5558lICBA+vfvLyKinqpp27ateHt7i6Io4urqKp6enuLs7Czu7u5qGVnr/uCDD0RRFFm+fLn4+vqqde/YsUNGjx4tYWFh6rcl/TfAsLAw8fLyyleO+N+RPY1GI+XKlTNbXnp6usyYMUMURRFfX1+1PHNl6o9slilTRjw9PU2Wee/ePalataqEhIRIqVKlpEePHjbpF3u2OTExUZo2bSpeXl5SokQJgzbntS2W1Dtr1ixRFEV++eUXKVu2rFrv2bNnZenSpTJw4ECpUqWKejG4/lu0m5ubPHz4MF9l6t9vAFK8eHH1/c5q0aJFoiiKrFy5Uj3dJfLolMyff/4pU6dOlTZt2oivr696VCwgIEC8vb3zNW5y28+WjB1r95+l4yY5OVk6deokiqKIt7e39O7d22yb09LSJDIyUgDIE088YbN+1rfF29tbgoKC1H4u6PfQnm3O3C8lS5aU9u3bm6w3LS1NXn75ZVEURXx8fKRLly4my8sc5+/vL23btjUZl56eLt988416Y4L+vRYx3q/8/PwMTgnr38esVqxYIc7OzrJ8+XKpVauWtGjRQkQe7W+nTp2SH374Qfr27SshISFqe4sVK6bup9bESVshodPpZNiwYaIoinTt2lUOHz5sFKO/vkt/N46zs7P06tXLKE5/F6Y+zsXFxeB0T9a4xYsXq3+4nn76aaO8MjIyJCoqSp5++mn54YcfpGzZsjJ8+HCDuOTkZNm+fbuMHTtWGjVqpJ6iKV26tERHRxvVnZqaKqtWrZJWrVrJypUrpXTp0jJq1CiDmAcPHsivv/4qL7/8svpBBUDatGmT7xwrVKiQY3kiIlFRUdKsWTMpVaqUDB8+3OhUdOYy9R9oAKRx48aSmJho1G4RUfvF1dVVPRSfWUH1iz3brG+Ls7OztGvXLt9tsaTemJgY6dGjh3z33XdSrlw5ef311w1eT01NlcOHD8vnn38uL774ohQvXlz98J41a1a+y2zfvr36B6FmzZpy4sQJo/JOnz4tw4YNk//7v/+T0NBQGTRokMHr6enpcv78eVm1apU89dRTaptN/WHLzbgRyV0/WzJ2rN1/IpaNGxGRTZs2iUajEY1GI82aNTNbnojI3Llzbd7PWdtiy/fQnm3O3C/Z5XjkyBH1dGzt2rXNlpc5Lrt6T58+LT169JCgoCAZPHiw0SUomferESNGiKurqwCQ8uXLy++//y63bt0y2B8uXrwoU6dOlWXLlkloaKgMHDjQoDydTid37tyRffv2yTfffCPNmjUTRVFk8ODBJvPLD07aCpH79+/LSy+9JIqiiJ+fn7z++uuybt06uXnzpkGcTqdTLzhWFEU6deokS5YskX/++ccorlGjRjnGiYj6TUxRFKlWrZp88skncv78efX11NRUycjIkEGDBomTk5Ps3r1bRB4dCcz6YX///n31glr9NRmm6k5NTZUbN27IiBEjRFEUtcys38REHl2DU7NmTavmWK9evRzLExEZPHiwQX7ZlZm5X0qWLClvvvmmHD16VDIyMuThw4eSmJgoOp1OatWqZZd+sVebRUSaNGli1bZYWm+fPn1Eo9HInj17RERMXuj84MEDefnllwWAVKpUyWpldurUSc3Rz89P+vTpI7/99ptcuHBB/vnnH7l3757cu3dPunXrJs7OzrJ3716z5aWmpkrdunWtNm5y28+WjJ2C6D9Lxo2IGLzXOfWdk5OTXfrZXu+hPdtsaY6dO3e2qLw2bdqof1dys0+Zaov+UVMvvfSSABB3d3fx8PCQDh06yBdffCFRUVFy5MgRuXnzpvz999/Srl07cXNzk3379kl29H/TMtdtLZy0FRL6HfLevXsyY8YMCQoKUk9dPPnkkzJkyBD5+uuv5YcffpDnn39e3NzcpEaNGhIeHq4O4ODgYOnYsaNMmzZNPvjgA2nVqpU4OTlJRESE2bgPP/xQjWvYsKG0atXK6KaAESNGyKuvvio1a9YURVFMHt0T+e/D8/r169KkSRMJCgqSb7/91mzdU6ZMkVatWolGozG6qFovJSVFdDqd3Lp1S5o1ayYlSpTId446nU5u3LghjRo1En9/f2nZsmWey8vc7hs3bkjjxo0lICBA+vXrJ56enmqZFStWlB49eki7du2kbNmyAkCaN29us36xd5vLlCkjAKRt27b5qjsv77WiKEbfjPX0d7Rdu3ZNGjRoIGXKlJHo6Gjp27evyTIjIyOlTJkyFpV59epVadiwoZQqVUomTpwo1apVU8srXbq0NGnSRGrWrKkeOch6pFlP/yXm6tWrUqdOHfHz87PJuNG/39YcOwU1bmrUqKHGmSuvffv2ankDBgyweT/rzxZ06dLFZu9hYWlzjx49zNarz1FRFOnevXuO5SmKIr1795Z3333XZFytWrXUekeNGmX2OWr6Gw2uXLki9erVk8DAQFm0aJF06NBBfRain5+fhISESEBAgPrstvfee89kefq/4VeuXJHatWtLmTJlTMblFydthUTWgfXPP//Il19+KZGRkeqDdjP/vPLKK+pdNuvXr5eXXnpJfH19DWK8vLxkzJgxEhsbKyIi69atkxdffFH9I2EuLiYmRt544w2pWLGiwZ1tISEhMn36dLl27Vq2bVmxYoUoiiLjx49Xt5mqG/97NMFbb72l1m2O/tSCvkxr53jo0CEZPny4VKhQwWR5V69eNdtX5so8c+aMTJ8+XVq3bi0VK1aUsmXLiouLi9SvX18WLFggcXFxZt8bW/SLPducXd3Tpk1T22Ltes1Zu3atwTWiIiKnTp2Sjz76SFq1apVtmaaORJgq89KlS/Ltt9/KK6+8Ii1btpTatWtLiRIl5Omnn5Yff/wxx4eabtmyRUqWLKmWZ6txY+r9tlf/5TRm9fXmZjzYq5/tuQ/Yq82W1mtpeefPn5dFixZZtE+ZOlopYrxf/fvvv7Ju3Tp5//33pU+fPtKyZUupWrWqDB48WDZs2GCyLzLbuXOnVKxYUd59990cY/OCD9ctJEQE6enpcHZ2NtiemJiIO3fu4Pjx4zh+/DiCgoIQFham3pGT+U6gjIwM7NmzB+fOnUOpUqVQqlQp1KlTx2iZqMxxoaGh8Pf3R/Xq1dUH2mZ25MgR3Lx5ExUqVICzszNCQkJybMuhQ4cwe/ZsfPTRRyhTpozZujPnmJMjR47gzTffxFdffYVKlSrlK8ebN2/i6tWrmD17NsaMGYPq1asb5BgTE4Nbt26hQoUKiIuLQ5UqVeDh4YHExER4eXmZLff06dOYNm0aPvjgA6Mlhc6ePYuHDx/C398fWq0WJUuWtGm/2LPN7u7ucHd3R+nSpREXFwdfX1+Tdfv6+sLX1xfh4eFWqTckJAQ6nQ7FihXL9r0BgOjoaPzyyy/o378/ihUrhrJlyxq853///TdSUlLUu9h8fHyQkZGB0qVLm12C7eLFi1i4cCGGDh2KMmXKGLx248YNaDQa+Pv7Iy0tDa6urtnml5SUhDt37uC3335D9+7dUapUKfW1gt6fLR071u4/S8dN5raYWhIv83g4f/48ypQpg4yMDKSmptqsnzMyMuDq6gpfX1+b7wP2anNcXBxcXV2h1WqzrTfzfmqq/27cuIGMjAzcvHkTAJCamgpPT09UqVJFfdoCAFy9ehXOzs7w8fHBsWPH4OHhgaSkJPj4+CAsLMygbsn0ENzr169j1apV6NGjB0qWLGlQd0JCAry9vc32gSn37t1DVFSUeteutXHSZmf37t3Dl19+icuXL+Py5cvw8/NDq1at0KRJE1SqVMngw1z/GBBFUYw+kPWD/dq1a5g+fTrOnz+Ps2fPIjg4GE2aNEGDBg1QtWpVlC5dWn0qdObyMu8s+tum9eVnjpMsT3zOLGvdISEhaNy4sVHd2eVYrVo1lClTBi4uLmoemRfuzdze3Ob4999/Y/LkyTh58iQuXLiAypUro2bNmqhXrx5q1aqFKlWqICAgIMfYunXromrVquoOmZ6eDicnJ6MPm8w5WvreWLtf7NlmS+u2dr3Ao4mMoihwcnIy+97odDocPnwY48ePx8GDB3Hv3j1UqFAB5cuXR+3atdGwYUM88cQTCA4OzjauSZMmaNiwIYKCgrLNUf636LR+u7m4zApi3GSOBcyvoWiv/svNmDXXz5nLs2c/2+s9tFebAVhUr36SmVN5Op0O27dvx/jx43HgwAEAgL+/PwICAlC9enU89dRTaN26NapWrYr09PRsY1u1aoU2bdogLCzM5Hg31X/637PuU3ZVIMfvyCJ//vmnNG/eXD2lodFo1FMc7u7u0qFDB/nxxx/lzp07Rv/W1GHedevWSZ06dURRFClXrpwUL15c/Pz8RKPRqE9bnzlzppw8edLo35p6mO/169cNtqWmppqMy1p3SEiI2bqXL1+ebY4NGzaUmTNnyqlTp4zyy0+OP//8s/oA0Xr16km1atWkRo0a4ufnJ05OTlKxYkUZMWKEHDx40Ci2evXqJmPXr19vUY726hd7ttnS8j7++GOr1nv58mWTd4qZGrM//PCDBAYGiqenp0RGRsrTTz8t7dq1k+DgYFGUR9eTPvPMMzJy5Eg1rl27dmbjvvzyS4PyMzIyTD61/ezZs0a5mIqz9rgREYNTofpTR/kZO9buP0vHze+//25xm5cuXWpR/1m7n+21D9izzZn3qdyUJ2J6H1i8eLH4+flJYGCg9O7dW9544w3p37+/wbVsERERMmfOHJk7d65FsWPGjDFYdcjcetcxMTFmV5CwJ07a7Khhw4ZSsmRJmTt3rly8eFHu3Lkj69evl0mTJkmbNm3Ua9n8/PykQ4cOsmrVKqPrTzLf9h4RESGhoaHyf//3f/LgwQN58OCB7Nq1SxYtWiSvvvqqVKxYURTl0aMmatSoIV9++aVcuHDBbHlPPvmkREZGyqJFi+TixYtm43JTt4uLi5QoUUK+/fZbSUpKslmONWvWlKpVq8pvv/0mIo8+IE6ePCkbN26UDz/8UJo2bao+A6t06dISHh6eY6xGo5ESJUrIe++9J6dPnzaqW3+hq/69+f777yU+Pv6xaLO+7rVr10paWlq25ZUqVUpWrlxplXrDwsIkLCxMPvzwQzl+/LjZOBGRqlWrSkREhGzfvl2t+9q1a3LixAn5v//7P+nWrZt6nWjJkiVl48aN2cbhf8/OGjhwoBw6dMigbv0fORERb29vcXZ2lqFDh8rmzZsNlsDJHKcfN999952cP39ebt++na9xUxBjx9r9l5txY0l59uxnfVvWrFkj169fl7i4OJu8h/Zss77e6Ohotc35KS88PFwaNWokMTExcv36dYmPj5eHDx9KXFyc/PXXX/L6669LqVKlxMXFRXx8fKR+/frqtd7p6ekmY/G/O1SfffZZWb16tcFzUTPTT5qff/55mTNnjtnHi+ilp6fLsWPHDFbkKAictNnJgQMHRFEU+fjjj02+fuvWLfn111+lZcuW6rN4PDw8pEWLFjJp0iTZtm2bxMfHq/EHDx4URVFk1qxZsn//funfv7/B89Hi4+Nlx44d0qtXL4Olo0JDQ+WVV16RX375xeCI3qFDhwwubnZ3d5d27doZxYk8WkZGURQZNmyYdOjQwegbob5u/W3VLi4usmbNGqM/KAWV4+HDh0VRFJk9e7bs2LFD2rdvb3BBaXJyspw6dUrmzJmjrlnXvXt3ETFcyiRz7JgxYwxy1Gg00qZNG1m4cKH8+++/Jvtlx44d0qJFC1m2bFmRbnPWurO2WV/eW2+9pZY3f/58owdJ57bemJgYoxt2atSoYRQnIrJ//35xcnKSESNGSMuWLWXp0qUGr+vvWJ41a5Za97hx44y+levjZs+ercbp86xUqZJMmTLF4EP86NGjoij/LVEEQAICAoziMo+bnTt3SqNGjQyOTuR23Ij8t5/q6y1VqpQMGDAgz2PH2v1n6bixtDx79nPmtpjqv4J6D+3Z5piYGHFycpI5c+aYbHNe9hWNRiOffvqpyfL0Dh48KB07dhQAUrduXZOPjNL78ccfjerWPw/vr7/+Uo8+Hzt2TBRFUe8iBSC+vr5GcSL/fV7u2rVL6tatKx999JHJuq2FkzY7mTlzpnh7e8vmzZtF5L9D+1kH29SpU0VRFHUtOP0tz6VKlZKuXbvKZ599JocOHZLPPvtMPDw8ZN26dTJjxgwBIKtXrzY63Kx/CrqPj494eHiog1JRHt12/vbbb8v27dvlo48+EkVR5M033zR4TlLWuNTUVPniiy/Ew8ND+vfvL4qiyA8//CAixnc9ffHFF+Lm5iYlS5aUwMBA9flSBZ3jwoULxdXVVX7++Wf5+OOPBYAsX77c5GmF999/X32/z549q/ZH1tjZs2eLoigSFBQkGo1GfUSLfkd/6aWX5Ndff5U5c+ao/aKve8WKFUW6zV999ZVR3aba/M0334iLi4tUrFhRXF1d5e+//85XvZ988okoiiKTJk0yeE5Z1rjk5GT1CefPP/+8KIpiMDnITB+nfwxD1qMCep9//rn6xweA1KtXz2Dy2LRpU1m8eLH61Pn3339fevToYZBj5rhPP/3UaNz89NNPeR43qampamzz5s3VO7fzM3as3X+WjhtLy7NnP8+fP9+oLab6z9rvoT3b/P3334uzs7N8//33Bm3Oa3m//PKLODs7y/z587MtT0Tku+++U1eI+Ouvv8zecbtgwQJRlEcP8AUg7dq1k3Llyql116pVS6ZMmSKTJ08WRVFk8uTJ0q9fP/XLVda4zJcm6Pcv/RHTgsJJm5388ssvoiiKfP311+q2rA/9S09Pl4EDB4qiKPLqq6+Km5ubfP311zJz5kxp1qyZ+tyYSpUqSdu2bcXJyUkGDRokkZGR4u3tbfStLSMjQ15//XVRFEUmTJggWq1Wli9fLj/++KN06dJF/fbv5uamfij8+OOPEhkZKT4+PibjnnrqKfVBkBUrVhQ/Pz+1rqx1b968WTQajURGRopWq5XffvvNJjlGRESIs7OzPPPMMxIZGSl+fn5G9epvbd+zZ4/6dGz95NNU7MiRI0VRFJk7d646UY2Ojpb+/furE2tFeXTqQVEePXMpMjJSfH19i3ybAwMDRavVSseOHc22WafTye7du8XDw0N9WOYPP/yQr3r1z2ZasmSJWq+puHLlykmfPn3E09NTSpUqJT4+PiJi+qHOx44dEz8/P3U1gvnz55uMGzNmjJqboigyf/58OXTokEycOFFq1aql1q3/hj937lw1R3NxiqKoz8/K77h56qmnpEmTJqIoijz55JPi5+cnd+/ezdfYsXb/WTpuLC3P3v2s0Wikbdu2Nt0H7N1mZ2dn9fmAvr6++S7P1dVVqlatKs2bNzdbnk6nkwsXLoi/v78AUB+BYip2/PjxoiiKrFmzRjQajUyfPl1Onz4t8+bNky5duoi/v7/BfvrOO+/Ik08+Kb6+vibjFEWR1q1by+zZs9W4gsZJm52cP39ePD09pWbNmrJz506j13U6ncTFxUnv3r2lTJky8ssvv4irq6ssWLBARB49hDc6OlrGjh0rVatWVQeZVqtVH6SYtbzExER5/fXXJSgoSH755Rfx8PCQOXPmqDGXL1+WuXPnSv369dXyihUrZlSePq5hw4bqANd/y4mMjDTZFpFHF9CXLVtW/P39xdXV1aDugswx8+FwU++N/kMyIyND4uLiJCwszOB0YdbYpKQkGTNmjJQuXVp+/vln8fHxkWnTpqkxaWlp8tNPP0n79u2N6n711Vcf+zbr6753755ERESoz6jKXF5u623btm229WbOL/OHsv6bflb6I98PHjyQp59+WhTl0anoyZMnG8UlJyfLBx98oF6XVKxYMYO49PR02bJli7z66qvi4+NjNkd93ODBgyUoKMhq4ybzeNC3/ZVXXjEoLy9jx5r9Z+m4yU159urnwYMHqw+0teU+YO826x8abq7N+S3v5ZdfNihPf+OC/vlr+lV4IiIi5NatW0axqampMmvWLClZsqQsX75cSpQoYfAs0YyMDNm7d69MmjRJypcvb1B35ocN6+M++OADadasmbi5uakTOHMPJbYmTtrsSL+orZ+fn3z00Udy5MgRg4uSU1NT5YcffpBPPvlEPv74Y1EURQ4cOGBQRnp6uly9elXWrl0r7dq1UwfZs88+K5s3b5bbt28bxP7xxx+yZMkSdWFi/XIcmb/Zpaeny6JFiwy+UejrzXrY+ciRIzJx4kT1j5GiKDJo0CCjuvVHdTZs2CAuLi42y1Gn08nRo0fl1VdfVddDbdiwoSxdutTksl8ij5Yg0belbdu2JmOPHz8u69evV9cR3bt3r3o3V+bybt26pR4NeZzaPHbsWPULhKm69fUePHhQSpQoIQCkQYMGea5XRNSLjUuXLq2+N6bibt68KfPmzTO4KDksLEw+/fRTgzs79TlevHhRKlasKAAkODjYKE7k0TWoBw8elEmTJqk5ZmRkGNV99uxZmT59urqiwYEDB4zi9H/M9UcF8jtuRB5dY/Xyyy+Ll5eXADD4HMnL2LF2/1k6biwtz579rO+/6dOnq591ttoH7N3mefPmiaenpwCQkJCQfO0r9+7dkyVLlqg3Lnh7e8uYMWPk2LFjYsrYsWPVNvv5+ZmN/eeff9R9a8+ePSYfupuQkCDLly+XJ554wmA/NRW3ZcsW9QBG1r/PBYGTNjtKTk6WL7/8UoKDg0Wr1UrdunVl/Pjx8uuvv8rhw4clISFBRERWrlwp4eHhUqNGDbNl6XQ6OXXqlAQHB6unOoKDg6VXr14yd+5c+eOPP+TOnTsSFxcnCxculODgYImIiDBZjn7nuXnzptSvX19CQkKyjbt165bUq1dPSpQoIVWrVjVb9/3792XBggXi7++vfjuxRY4ZGRly69YtqVy5sri4uKingZo2bSpvvfWW/PTTT3L58mX1ieLFixdX71rKLnbGjBni7+8vDRo0MKo7PT1dXQIoMTFRKleurJ7OLupt1q8pWK1atWzrPnXqlMyYMUN8fHzU5W3yU6+IyMOHD6Vx48Ym3xtTcYGBgdK9e3f1m3JwcLA8//zz8uWXX8qRI0dk48aNMm7cOHFzc5MSJUqYjdu0aZOMGzdOPDw85MknnzRZt/6OuMTExGxz1B9BuH//vlXHze3bt6VevXom683L2LF2/1k6bvIyHmzdzxkZGZKQkGDXfcDWbdZ/1tWsWVNd3cEa5UVERIi3t7e4urqqZTZo0EAmT54sv//+u3z99dcycOBA0Wg00qRJExk9enS2sYMGDVJv5Mgq852r9+/fl4YNG5rcXyyNKwictBUC+/fvl1GjRknlypVFo9GIp6enVK5cWUJDQ9VnzFSsWFF++eUXk/9eP/vXXyPw1ltvyZw5c6RZs2bqzuPp6Snu7u7qUYiIiAiTzzrKXN73338vipLzWmuZ427evClz5syRpk2bZlv3smXLTMa5ublJYGCgKMqji6PN5ag/xP/9998LgFzluHr1ann22WeNlv3S59GiRQvZunWriEiuYrPSf5vVL8H15ptvPnZtfu+992TVqlXStWvXHMszFQdAneA/9dRTZuvVn25avHhxtu+NqfxEHt2VO3jwYPUaxKw/zzzzjOzZs8fiuOzq/vbbb7Pdr7LG5Xfc6N+b7777ThRFkYkTJ5qM08eK5G3s2GLcWDoeCls/22IfKGxtPnjwoAwaNMjgAn79kTBFUaRLly65Ku/ChQsyceJEgxsHMv/07dtXPbKWm1hzdS9dulQURTG7HJWlcdb23xoQZBNi4uns9evXR4UKFfDcc8/hyJEjOHr0KI4fP44zZ86gWLFi6Nu3LyZMmIBKlSohIyMDAAyebq5/Gvj58+chInjttddQtmxZdO7cGadOnUJMTAz27duH2NhYhIWFoXLlyhg9ejRKly5tMkf9U5///fdfAEDfvn2zbVPmuICAAAwcOBCdOnXC6dOnceTIEezduxdnz541qvvBgwcWxekyPekdgMHyXf/++y8URUHfvn2N4rK2RUTQt29fVKhQAW3atMHFixdx+PBhbNu2DTdu3ED58uURGhqKgQMHqkuXdO3aNcdYU0uV6DI9PTsxMREA8Nprr6F06dKPVZv79OmDihUrIjIyEhcuXMChQ4ewbds2/PvvvybLszQuu3oVRUGfPn1MjlX9+6TPr1evXhARRERE4KuvvsKsWbOwb98+/PHHH7h37x5CQkIQFBSEbt26wcPDA4qiZBvXs2dPuLm5ZVu3fh82lWPmtujj8jNuMtetXwaoX79+al3WGDuvvPIK/P39AcBu46aw9LOp/rPFPlAY2iwiRm1esGABPv30U+zZswd//PEH4uLiEBwcjDJlyli8r4gIevfujdDQUHzwwQf44IMPcOjQIezcuRMPHz5EqVKlULp0abRq1UrNw5LYzEtgmarbxcUFQUFBGDBgQL7irI3LWNnBhQsXkJ6ejgsXLsDX1xf16tUzGED37t2Dl5cXLl68iLt37yIuLg5+fn6oV6+e0Vqj+iWedDodTpw4gdjYWDz33HMG9WWeKCYlJcHT09OiPG/evInz58+jUaNGZmNiYmJw8eJFHDhwAC1atMCTTz5psPRWWloanJ2dERMTgxs3buD69esIDg62OK558+ZwcXExavORI0cQFxeHmJgYKIqCIUOGGMXp/yDp/2Bl1xb535IpWddqNBWn/29OS5rExMQgLi4O58+fh6urK7p161bk2xwVFYWLFy/in3/+QfHixdGhQwcEBgYafThHRUXh/PnzuHbtGsLDw1G/fn2L40qVKmWwdBMA/PXXX0b1mooDoL4/ly9fNrv2prnJj7Xi9H1vSuZxU7p0abRs2TJf40ZRFKP91FSspWPH0vFgq3FTmPo5a1sqVqyIRo0a2WQfsFebU1NTsX79ehw9ehTXrl1DtWrVUKtWLZQtWxaBgYHq+qlZ42rWrInq1asjODgYgYGB6t+lzEuTAf+Nd51OB51OZ/C3Ut92U0t6ZY41F2eqzZnj0tPTzU7uMrM0zipscjyPROTREjJTpkyRsmXLqtcuuLi4SGhoqLz66qvqw3Czixs0aJDJu01FjC8+zizzRZ5ZL/g0J7vyYmNjZfTo0ep1GPofFxcXeeaZZ2TVqlVWi+vatausXr06V3GWtiXzBbD6C00tjTX3Pj6ObY6JiZG+ffsanYbQarXSvHlz+eyzz+Tq1atWi5s7d26u4sy1zVS7M19wnPn6mrzGZf03Dx8+NBln7XGT29jM8jsebD1uCkM/22sfsGebd+/eLV26dDHKUaPRSI0aNeStt96SnTt3ZhtXs2ZNGTNmjOzatcugbJ1OJykpKWbz02/XX4dpbkmvrLH6a42zk91+mjUu84N2bYFH2mzo5ZdfxrJly1C/fn00atQI3t7eiI6Oxr59+5CWlgYAePLJJ6HT6bBz507Ur18fDRs2hI+Pj8m4Ro0aoXv37qhWrRrc3d0NvkVIpqNrv/32G0JDQ1GhQgWjo2x5iQOA5557Dr/99hvatm2L1q1bw83NDdHR0YiJiUFsbCwAIDg4GMWKFcOJEyfQtm1btGrVCu7u7jaJa9y4MXr27Iknn3wS/v7+Zt8bAJg/fz4qVqyIiIgIdSFqU7GWxtnrvbFnmzt06IDo6Gh0794dzz77LFJTU7F//34cPXoUhw4dwp07d1CsWDEUK1YM165dQ48ePfDMM88gPT3dJnHDhg1DXFwcIiIi8NRTTyE0NNSgLZlPa02YMAGVK1dGy5YtjY5WFGSctcfN2LFjsWHDBmzcuBFt2rRBmzZtzJZp6dgp7OPGnv1sr33Anm1u2bIljh49igEDBqBnz564f/8+Tpw4gZMnT2LPnj04efIk3Nzc4OPjgwcPHmDgwIHo3r074uPjTcYFBQXhueeeQ9++fVG5cmWDcZiRkWFwVqBfv36oUqUKunbtiipVqhjkmDnW2nF2Z9Mp4mNs3759otFoZNiwYSJieLTrxo0bMn/+fGnQoIH6yI6WLVtaFFexYkV5++235ffff5eLFy9KSkqKUb2K8ugp06+99prMmjVLzpw5k+c4kUfLdSiKIkOGDJHdu3dLcnKy+trt27dl5cqV8vzzz6s5NmrUyOhWaVvElShRQnr27ClffvmlHDhwwGDZL5FH3+T0balUqZI0b95c5syZYzJWvwRQ1apV5emnn5ahQ4fKjh07jOL27NkjiqLImDFj5Pz587Jhwwb1MS5Ftc36uIkTJxq1OS4uTv78808ZM2aM+vDL6tWry7179wzKKMi4wMBA9f0pVaqUNGrUSMaOHSsbN240eISGyH/7QWBgoNSuXVu6dOkiq1evNnruk7XjMo+bU6dOyfLlyyUhIUF0Ol2exoOi/Pe8rrfeekuyysvYye14sPW4sWc/Z25L1v4rqmNb3+apU6catTkpKUkOHz4sc+fOlZo1awoAKVOmjJw7d86gDFNxivLooeQvvviiLF261Gi97YyMDNm9e7d6xNjX11e6d+8u//d//2cUq2+Lq6urBAQESP369WXhwoVGRygtjcvIyFD/JsbExMj8+fPl/v37OR6RsyZO2mxk1KhRUrZsWdm7d6+I/Lc4c9YP3meffVZ9ts+iRYvMxukfJAg8evK2l5eXtGzZUj766COJioqS69evS0ZGhowePVoU5dFt1xqNRhRFkfr16+c5TkTk7bfflsDAQBkxYoSUL19efWZQ1oHbr18/9Un7kyZNMnsI29pxffv2Vd8bV1dX0Wq1UrVqVRk8eLAsXbpUTp06pe54+qdz6z/8NBqNyVh9XI0aNdQcypUrZxSnf2/27NkjM2bMEDc3N9m2bVuRbvO7774rJUqUkF27dmXb5tdff10t59VXX5XU1FSTbbF23N9//y01atQQAFKyZEn17rhixYpJu3btZPr06bJr1y558OCBvPPOO6IoijRp0kR93pSXl1eBx2UeN1OmTBEA8vvvv+d5PBw+fFgqVKhg8HDc/I4dS8eDvcaNPfs5c1uy67+iNLY//PBDddURfZuzrjstIvLWW2+Jq6urODk5SZcuXSQpKcno75mIyBtvvKGOw8yPDAkPD5ehQ4fK+vXr1cdgTZw4Uf3iqZ/omYrVx7Vv31593lt+4jLTP2dOf9mCrXDSZiODBw+WYsWKyaVLl0TE8AiaTqdTn/kyePBg8fb2luLFi0uDBg3k/v37JuM6duwobm5u4uPjI+XLl5cePXpISEiIKMqjdUmfe+45+eqrr6Rp06bi4eEhK1askGrVqomTk1O+4vbv3y9vvPGGeHp6SsOGDcXV1VXNSZ+jvm1vvfWWeHh4SPny5SU8PFxu3rxpkzj9xDc0NFSCg4PljTfekLp164qzs7N4eHhIw4YN5Z133pE1a9ZIx44dxdXVVRo0aCBubm4yduxYk7GNGjUSV1dX2bBhg9SvX1+cnZ1NxnXt2lU8PDwkOjpaIiMjxcPDo8i3+aWXXhJXV1dZu3at2ubMf1z0H9AffPCBuLq6Sp06daRUqVJy8eJFm8SJiPq8Kn9/f9m3b5/MmzdP2rZtq/5xCA4OlhdeeEHq1asnzs7Osnv3bmnRooW4ubnZJK5Nmzbi4eEhUVFR0qFDB/H29s7XeBARGTBggCjKo0Xk7969a3Y/tXTsWDoe7DVu7NnPnTt3FhcXF1m7dq3af0V9bPfo0UNda9RUm/X//9lnn4mLi4s89dRT4uHhISdPnjQZ17t3b9FoNNKtWzfx8PCQBQsWyIsvvqiukevk5CQNGzaUiRMnSqdOndRlwooXLy6//fabydiaNWuKRqORkydPytNPPy1eXl75ips4caIcOnRIbt68KU8//bQUL15cbI2TNhvRP/foq6++yvZQqj6uQ4cO4uPjox6Zy+zq1avSsGFDqVatmkyYMEF8fX1l06ZNEh0dLZ988ol07NhRfViiq6urFCtWTMaNGycuLi7Sq1evPMc5OTlJhQoVpGPHjgI8Wroq63I4ma1evVoURZE2bdqIp6en/PHHHwUed+PGDXnyySelQoUKMmPGDPHy8pJ169bJ33//LStXrpRBgwZJpUqVRFEU8fX1leLFi4u3t7doNBoZMGCAJCUlGcUCj5YH8/DwkAEDBohGo5G+ffuaLFP/zTQiIkKcnJyMlgAqim3WP2U/PDzcqM2Zx/off/yhnoJ3d3c3uAi+IOOuXbsmbdu2FT8/P/Hw8FDj4uPjZf/+/fLBBx8YLBGm1Wqlc+fOoiiKDBgwoMDjMp/KrFy5ssHRsbyOm/T0dFm7dq0oiiLOzs6yZcsWk3GWjh1Lx4M9x429+jlz/4WEhBj1X1Ec25nbHBAQkG2b9adR9Q/d1a9vnDnuzp070rFjR/H395fFixcbxN26dUsWL16srs+qz0+/ckbmv0GZY/X5KYqiXlKkzzEvcfqjeT4+PuoKCOb204LESZuN3LhxQ6pWrSpOTk4yY8YMuX79usm4q1evqqsKaDQaiYqKMor5559/pGnTptKzZ0/54IMPxMXFRU6ePCkij3aCy5cvy++//y7Dhw9X/zjrV0nYv39/nuPGjx8vTZo0Ub9xAZDnnntODh8+bPLat7i4OIPBvnLlygKPu3nzprzwwgsycOBAmTZtmmg0GoOHKN6/f19iYmJk4cKF0rlzZ/WhlQCMliDRx86aNUuCg4PF3d1dPXWcOTZzmV27dlVPbwOPFmAvym1esGCBdOvWTdzc3NQ2f/7550bX4eiPEvfv31+t+8svvyzwOJFHfxDefvttadGihSiKIkeOHDEq69atW/Lrr79KvXr1xM/PT32/sy73VBBxW7Zskddee03c3d2tNm7S0tIkKSlJXVO2R48eJvdTS8eOpePBXuPGnv28efNm9TPUlvuAPdu8ceNGGTFihLoGMgCZPHmy0fJb+tUh3n33XbUt77//vlFcYmKizJ07V6ZOnaou2Xjo0CGjAxyxsbHywQcfGKzteuDAAdHpdEaxR48elS5duqiXgej/ruU1LjY2VqZPny61a9c2+d7YCidtNrR582YJDw8XrVYrkZGR8uOPP8qdO3dExPBw93fffSceHh4CwGxccnKybNu2Tdq0aSPly5c3OWgfPHggZ86ckcmTJ4uPj49UqFAh33EXL16UL774Qjw9PdWlQurVqycff/yxHDp0SG7fvi0PHjxQ/83y5cvVDzNbxaWmpsqff/4pzZs3V9uSVWpqqiQkJMhPP/0k/v7+Ur58eREx/aiD1NRUuXv3rixcuFACAgJyLHP69Onqt8DHpc1z585VJ6vlypWTYcOGya+//iqnTp0y+GPz888/q9eM2DJu7969UrduXalYsaJRG/T0fyx///13CQ4OVt8fW8SJiHz99dfqe2iNcXPy5EmJiIjIcT+1dOxYOh7sOW7s1c8ij/pFPwl9HMa2iMiaNWvUswseHh7SuXNn+eyzz+Svv/6Sf//9V41ftWqVOsEzF5eRkSHr16+XGjVqSHh4uMn69M6fPy8VK1aU0NBQs7npyzxy5IiEhYUZtSUvcSKP1mutXLmy2femoHFFBBtq27Ytli1bhk8//RSrVq3Cli1bEBQUhHbt2qF+/fpwdnZGeno6li5ditTUVNSrVw9//fWXUZxWq0VGRgaWLl2K/fv345NPPjF4nIP875Z6Nzc3VK5cGTVq1EBCQgJGjhyZrzh3d3eUK1cOgYGBePDgAd588024uLhg2bJlGDt2LIoXL46GDRuiZs2acHFxgUajwU8//YSMjAy0b98ep0+fLvA4Z2dnaLVa/PTTT7h06RJmzpxp8uGQ+jjg0cOMhw4dCgAmY7VaLYoVKwY/Pz/cuXMHr732mtkynZ2dUaFCBWRkZKBZs2b4559/Hos2BwYGIj09HU8//TRu376NBQsWYPHixahSpQoqVaoEV1dXuLu7Y+3atdBoNOjTpw/+/vtvm8alpKTgk08+MWpD1nYnJCTg2rVrmDBhgs3iAMDLywvp6elWHTeXLl3ClClTcO/ePZP7qaVjx9LxUBjGjT36GXi0H6WlpdllH7BXmx8+fIjk5GS8/PLLSExMxNatW/H7778jKCgIZcqUgbe3N9zc3LB9+3b4+vpi8ODBOH36dI5xM2bMMHpvgf8evbFnzx5cvnwZ48aNM9kPmWNPnDiBixcvGsXmNW7Xrl24cOGCybptwi5Txcfc7du35aeffpKXX35ZQkND1VOS+h8PDw+ZP3++XL582aI4/W3ypqSnp8uQIUNEURS5cOGC1eIAyIULFyQhIUG2bt0q48ePl6eeekpKly5tkGeJEiVkxYoVcuvWLZvGBQQEyIoVK+Thw4dm25KRkSGvvfZajm3OTWxGRob6Ph4/fvyxafPgwYNFURQ5c+aMHDt2TBYsWCC9e/c2WDzay8tLKlasKBs3bpTExESbxlWqVEk2btyY44MwMzIy5PXXX7eozdaO07/X1ho3AQEBsnz5cnn48GGO+6k1x449x409+1m/39t6H7B3m/V/C65duyYbN26UCRMmSMuWLdX1U0NDQ6VBgwayc+dOSUtLyzauYcOGsmvXLoObZrLS6XQydOhQURRFzp8/n22bLY21dlxB4sN17Sw2NlZdtiYjIwPOzs5o06aN0QMNLY3L6v79+5g+fTquXLmCH374oUDjrl69inPnziEjIwNxcXFwdnZGs2bN4OvrWyjiskpKSsK3336Ls2fP4rPPPrNKrLm4x7HNd+/exe3bt6HVanH16lW4ubkhIiICWq3W4AGr9oozJSUlBevXr8eJEyfw7rvv2j2uIMZDQY+dwjZuTLFV/z2OYzs5ORlpaWlwcnLCuXPn4O3tjfLlywOAQY6WxmWVkZGBgwcP4tChQxgyZIjZ/HITa+24gsRJmx3Io2sJc1wHzdK4nKSnp+P+/fsoUaJEgcRlfkJ2duwVl52MjAwkJSXBx8fHarGZ4x7HNuf0x0PPXnGWlJOSkmJ2MWtbxBXEeLDl2CkM48aScgqq/zi2Tcdas60FMfZt+TmcV5y02Zn+7Vf+t+i7uYFgaZw9Zd7ZcmqLPeLs6XFsc2aOPpGzl4IYD440dopSP3NskzVw0kZERETkAArvVywiIiIiUnHSVoD0BzF1Op3J7Y4SR5bJ/L7pr0csTHEFVSbljyP0M8eNZXQ6ndHnqS3i7F032Q5PjxawlJQUuLq6Ii0tDVqt1uw1CIU9jsxLTU1Famoq3N3dcf/+fRQrVszgOiH9tSf2iiuIHCn/HKGfOW7Mu3v3LkQECQkJ0Ol0CAkJUZ+DCPzXZmvH2btusi8+XLeALFmyBFFRUdi/fz/8/f1Rq1Yt1KhRAzVr1kR4eDj8/f0BAIsXL0Z0dHShjRMR6HQ6KIqS4wXLGRkZhTrO2mWmpaVh3rx5+P3333H48GEEBQWhYsWKqFKlCurXr48GDRogODgY6enpdolT/vewT2uVWbZsWSiKgvT0dDg5OeV4Ubyt4+xZd25ytPa4sXY/WzvO2uPG3v13//59zJkzBz/99BPOnj2L0qVLo2TJkqhUqRKaNWuG1q1bo0qVKoiLi7NqnKIodq2bCgceabOylJQUDB8+HF9//bU68dFqtUhKSkJSUhJCQkLQunVrPPfcc/j1118LbdwLL7yAVq1aGX14ZWRkwMnJyWAnNnUHWmGKK4gyk5OT0b9/f/z4448oV64cfHx84OLiguvXr+PatWvw8vJCo0aN8Oyzz+KPP/7A6tWrbRrXs2dPPP300xg1apTVcuzevTt69uwJPz8/9X0w9UfO1Htoizh71m1pnLXHTUH0s7XjrD1u7N1/3bt3x/r161G7dm2UKVMGLi4uOHXqFM6cOQMAqFy5Mp599lns3r0b0dHRVonr0aMHevTogfHjx9u87m7duqFt27Zo0aJFtkfc0tPTcf36dQQHB5t8PbdxBVFmbuoutISs6uuvvxY3Nzfp16+fXLp0SVJSUuTw4cOybt06mTJlirRo0ULc3d3F3d1dtFqtvPDCC3Lp0iVJTk4uVHG+vr7Stm1bCQgIkMmTJ8vx48cN2qnT6SQ9PV1ERBYtWiSlSpWSyZMnGyw2XVjiMsdOmjRJTpw4ke8yFy5cKG5ubvLGG29IUlKSpKamyoULFyQmJkaWLl0qL7zwghQvXlycnZ1Fo9FI//795eHDh5KSkmKTOHd3d2nYsKG4urrKG2+8IQ8ePLBKjgDk5ZdfNlpQOSMjQ9LS0kSn08mcOXNEURR57bXXJCoqShITE20SJyIye/ZsURRFXn31VYmOjjbov8KQY+Zxc+vWLbl3716h7Gdrx1lz3Nizn7/66itx+//2zjwqqiNt4291Q7PJ0iwCIpsIERUFiYIboKKOGxo3dBTHeBLU45I4TlCD60SMjtEMJ3Pckzij4zJumTigjkGcBEWMYnAhgGAURWU1gBCFpp/vD9L3o2lQlqb7Euo5J+fkwM/3raeq7qW6+t56jY2xZs0alJeX49mzZ3j27BmKioqQlJSE999/H127dgURQSKRYP78+QBqa622hmOMwdvbG0ZGRlizZo1WYjaHIyKMGTMGx48fR0lJCRpSbGwsGGOYMWMG9u3bh5s3b6rV1G4uB0AYl0mTJmHXrl0oKirSWW7VXHv69Clyc3Mb5XQtvmjTsgICAhAUFIT79+9r/O7ly5fIzs7G/v370alTJxARwsLCRMkFBgYKFyv7tdTNsGHDsHPnTjx+/Fjt3w0cOFBgiAhubm7429/+JhpOoVBg0KBBAkdECAkJaZWXwMBABAcH4969e1i3bh3WrFkjlF5RKpX4+eefceHCBdjY2ICI4Ofnh7KyMrUYbcmFh4eDiGBubq6x4G5pTDs7O7U54ebmhvXr12uUuhkyZIhaH5qbm2P16tVtzlVXV2Po0KFq4+zq6iqqNqrmTU5ODqKjoxEZGSmUjhLLOGub0/a80ec4Dx48GEFBQQ2On0rZ2dnCQsvBwaHBvwXN5VasWAHGGGQyGZKSkhrk2iq3s7Oz2vg5Ojpi4cKFuHjxIl68eCGwwcHBan1oZGSEd955p8WcUqkUWFV+BwcHneUGahfsUVFRmDhxIsrLyxvtd12KL9q0qKKiIri5ueGtt94SfqZUKtU+Wao4Z2dnODs7gzGG2NhYUXEAkJqaCiMjIxARRo0aBQ8PD2GyW1hYYPr06Thx4gTu378PW1tb+Pn5Yf78+ZBKpcLFLQausrIS+fn5sLW1hbe3N8zMzGBgYNAqL48fP4a3tzdGjhyJO3fuwN7eHm5ubhp9+OzZM3h5ecHV1RWMMWzYsKHBvtY2BwBZWVmwtrYGEWHDhg3CXGxpzIKCAtjb2wt/gLt16wapVCr0Y0BAAPbs2YN79+7B0dERffv2xZo1ayCTydQW/m3FlZeXo6CgAI6OjnjjjTdgYWEBExMTUbXx4cOHwrxJT0+Ho6MjunfvLqpx1jan7Xmjz3F+/Pgx/P39ERgY+MrxKysrg6+vL1xcXMAYw7Jlyxrsm6ZyAPDw4UNh12vZsmWNjrO2cxcWFsLZ2Rn29vYgIvTu3RvdunUT+qZXr15Yv349vv32W7i6uqJnz5745JNPYGpqqlbbtrncrVu38PTpU7i6usLDwwPW1tawtLTUWW7VNyq3b99G165d0aNHjwbHRR/iizYtqrS0FMOGDYOXl5ewhaxQKNQuBqVSKXAeHh5wcHDAlClT8PLlS9FwAHDx4kUYGRnB1NQUU6ZMgUKhwKVLl/Duu+/CyspKmOidO3eGVCrFtGnTsHv3bjDGEBUVJRrOxcUFkyZNgkwmQ0hICBhj2L17d6u8dO3aFe7u7rCxsUFMTAyICDt37tTYPq+srMSkSZNgb28PDw8PhIaGory8vM05FTtx4kRIpVIMGTIEFRUVUCgULY6ZlJQEU1NTvPvuu8LCIyUlBevXr4evr6/ap1epVIpx48YJfbhmzZo25xhjGDx4MIyNjYVdmN27dyMtLU00bVTtFMjlcq3Mm7YYZ21z2p43+h5nZ2dnyGQyREdHNzp+1dXVmDt3LoyNjeHj44OAgAAUFxe3mKvLMsbg4+MjcG2dOzk5GRYWFnj77bcxcOBABAYG4tq1a9i5cycmTZoEW1tbtT4cMmQIPv74YzDG8Oc//7nFHGMMvr6+MDExgb+/vzDOWVlZOskdFBSEL7/8UuB2796tMSb6El+0aVnLly8XPrnUvwBqamqERZGKc3FxgY+PD6qqqkTFnTt3DoaGhvDy8kKfPn3Uto5rampw6tQpTJgwQdi2Vn2lQESoqKgQDae6WFVb4YwxtW3u1sY0MDBQ4wD1hbrq2RtHR0d4eHjg5cuXOuEAYOvWrSAidOrUCfn5+Wpzsbkx//e//8HY2BgxMTEICwuDp6enwCmVSiQmJmLRokVwcHAQ+ka1U6nqm7bk3NzcNL7OrzvOYmuj6r/Wzhttj7O2OW3PG32Oc3PG79ixY2CMwcbGBg4ODmr3z5ZwAHDo0CEQEWQyGVJTUxsdZ23mTklJgZmZGaKjoxEeHg5nZ2c17vvvv0dMTAz69esn9IlEItHom+ZyISEhwjc9qrGu+5xhW+c2MTEBYwwSiQSMMTVO3+KLNi3r+fPnmDx5Mhhj8PPzw969e5Gbm6vGVFVV4fnz5xgxYgSICJaWlqLjnj59ig0bNqB79+6YOHEigNoLue7D/UDt9vHbb78NT09PMMYwefJkUXEFBQX49NNP4eTkBCLC5MmTW+2loKAAe/bsEZ7pMTIywsaNG5GZmanGKRQKVFVVYebMmcLNVlccAFy9elVoo52dXatilpeXIyEhAV9//TV69+6NCRMmoKamRqNv8vLysHHjRuEZocmTJ+uEKykpwfHjx+Hv7682zmJr46lTp+Di4qK1eQNod5y1zWl73uhznEtKSvDvf/8bnp6ewgJv0aJF+OGHH9Q4pVKJmpoaLFq0SPjD31oOAFJSUoRvA0xMTHSWOzs7G6dPn0avXr0wfvz4Bnf4SktLcfToUUyaNEmtD1vDJSUlISwsTGOcdZV71qxZAicm8UWbFqW6uG7duiUs3CQSCQIDAxEVFYWTJ08iLy8PCoUC169fx7Bhw4RPi2LiampqcP36dYSFhUEqleLMmTMaXut+BaNUKrF9+3YwxhAXFyc6DqjdFSAiDa41MdevX6/2id/R0REzZszA3r17kZOTgwcPHuC///0vBg4cKHxi0yUXEhICQ0ND4SaljZjBwcGQyWQ4d+7cK/umqX2oba6p46zPNq5bt06r86YtxlnbnLbnjT7HefPmzSAiWFtbC74HDhyIjRs34vLly0hKSsLhw4fRp08fGBoawsbGRiucn58fTExMEBkZCUdHR53nNjU1xTfffKPWN3W/nQGAbdu2NdiH2ub0nVuf4ou2NlRiYiLCw8Mhl8uFC0Imk8HJyQkymQxmZmZYvny5KDlDQ0OYmZnhj3/8Y6P+VC8x5OXlISgoCNbW1qLjAODRo0cIDg6GXC7Xiheg9tN5cHAwrK2tkZmZiaVLl6rdSBljwnNw1tbW+Oijj/TGAWiTmK/rGxsbG1FxYmtjRkYGlixZAgcHh1f2dVM5AFqP2VrO0tISjDHI5fJXzpu6197r+lB1PTd2jTY3ZnNy1x2/hw8fIiYmRu3heMaY8KKTo6MjduzYoXUOgF5zN6YnT55g2LBhsLKy0imn79y6Fj9cVwvCKw4c/OWXXyg7O5uSk5MpISGB7ty5Q7a2tuTi4kLjx4+n6dOni4a7cOEC3bp1i+zs7DS4V3lOTU2lkJAQGjNmDB09elQUXF22qVxTYqqUmppKwcHBNGbMGPrXv/5FRERlZWV05coVio+Pp6ysLOrcuTPZ2NjQmDFjaMSIEUIOXXHjxo2jkJAQYoxpNebw4cMb7RciorS0NAoKCqJRo0bRsWPHRMfpOnfd+dUQV15eTpcvX6a4uDjKzs5utK9VnGpM7O3tGx2T5sbUNdfUvmmIbSrX2nFpSGlpaTR06FAaNWoUHT9+XPj59evX6fz58/Tw4UOSy+VkaWlJo0aNoj59+qj9bWgNN3r0aPLx8SEi0lrM5uTu06dPo/1CRJSZmUlTp06lwMBA2rt3r844fefWtfiirZVSXfh5eXn05MkTysjIILlcTgEBAWRpaUmGhoYa3I8//khPnz4VFVeXvX37Nr148ULNi+q0cxUHgJ48eSJ4rqyspKFDh5KHh4feOaLaKgZSqVQYl8TEROrSpQuNHj26RV5UMetWRsjKyiIrKyvq3Lmzxpwgqi1XVPffNzR3tMmp2KqqKjIyMnot1xZtVPWNQqGg8vJyksvlbcrVZ5vK6bqNd+/epbt37wqlntzc3MjV1ZXs7OzI3NxcjUtPT6fbt2+Ts7Mz9erVi+RyuQZHRHTnzh168OAB3bhx45VsU2PqgrOxsSE7OzsyMzN7Zd+4u7trcHXZ69evk62tLQ0YMKBVMZvCqe4RqsoIqnG2tLQkpVIp1Oisz6mk/LXwenO5tojZWq6+6nM1NTVUUVFBFhYWLeLqs03ltJW7rprK6Vyt2qfjgkKhwPHjx+Hl5aV2/pdUKsXQoUOxbds23L17V/Tc67wEBQVh+/btr40pBq4tvNRX/ecf6v687gPMVVVVeuFUz+HoInd91T9GRldcdXV1o5711cbq6mp8/vnnas8/MVb7LKmPjw/ef/99nD9/HqWlpU3iKioqtB5T19yyZcsEL03hXr58+VrPzY3ZnNwqKZVKtaoMdVX3gXalUvnKa6ol3Ouu57bMra/rXp/Xs+qgdDGK77S1UidOnKAFCxaQmZkZTZ8+nbp160Y3b96kjIwMun37NhUVFZG5uTkNGjSIrl69Subm5jRt2jTy8PAQFTdnzhzy9vamdevWvdKLhYUFDRw4UIgpRi4iIkLrXoYPH079+vWjWbNmkbu7u9ocUNapW/jtt99Seno6jR49WqecPnM3xOHXXdu25BpiVZxY2njkyBFauHAhubi40IIFC6hz586UkZFBOTk5lJqaSunp6WRoaEh9+/al27dvk7u7u8BlZmZSdna2GjdhwgTy9/enTZs2qcVsiG1qTLFz+vTs7+9P3t7etHTpUurVq5faNaDazSciio+Pp+TkZJoxY4ZWuLaIqQtOdQ20hGuIrXs9t3Xu+qqbW1TSw0LxN6U333wTffv21ahnWVZWhosXL2L16tXw9vYGEcHY2BiHDx8WJccYg4mJCTw9PbmXRjjGGPr06YMPPvgAcXFxKCwsVPs3SqUSAQEBMDU1xeDBgzFz5kwcOnRIJ5xCoUBgYCBMTU3h4+ODxYsXi66NHdFzv3790L9/f2RkZOC7774TmMrKSqSlpWH37t0YO3ascIREbGysWoz6nGo3yMPDQ+N4jZbGFDunb89EBBsbG0yfPh379+/Ho0ePNMa5f//+YIzB2dkZQUFBiI2NbRWnUCgwYMAAMMZgZ2eHsLAwneXWF6dPz6pvFJRKJc6ePYsnT55ArOKLtlbo0aNHMDU1RXR0tPCzhrbPU1JShKLJAQEB+Omnn0TFPXjwAEuWLAERoUuXLkK9PTG1UZ9erly5Ity8VV+hWllZYeTIkYiJicGlS5dQUVGBhw8fgjEGe3t7obSQgYFBm3MABNbGxkY4OFJMbeyInvPy8mBubo7ly5fjhx9+gIuLC0JDQzXm140bN2BkZCQcZq0qo1Ofe/LkCTZs2AAiglwux61btwBoHsLanJhi5/TpOTU1VeMtSsYYPD09sWDBAvznP/9BaWkpHj16BIlEAhcXF7WDelvKARBY1du4qg+NbZ1bX5w+PdcfczMzM/j4+ECs4ou2ViglJQXW1tZYsmQJAM3vy1XPBai4wMBAMMawZ88eUXEq1sTEBESEL774gnupw506dQqMMQwdOhREhDlz5mDMmDEwMzMDYwxOTk6YNm0aIiMjwRjDihUr8Nlnn4GotlZfW3M7duwQzphS7Q7MmjVLVG3siJ6jo6PRuXNnRERE4MsvvwQRYdeuXcL8Us21mzdvwsnJCYMHDwZjDFu2bFGbh3X//+bNm5DL5SAibNu2rdEydE2NKXZOn55Pnz4Nxphw/t0777yDiIgI4RgTxhjefPNNTJ8+HYwxrF27FgcOHAARITAwsMVcdHQ0Nm/erJZ7yZIlOsmtL06fnqOjo/Hdd98BAA4cOADGxFW2qr74oq0Vqqmpgbu7O3r06NHglqtKVVVVcHd3h6enJ6ytrTFv3jy1Bz31zakecnV1dYVUKkV4eLjaIkgMbdSnl88++wyMMRw8eBB2dnaYO3cuSktLcf36dcTExGDAgAHCTg8RYcSIEcI2f35+fptzql0f1adIiUSCsrIylJeXi6aNHdEzYwzGxsYwNjZGr169IJFI1Moj1Z2z/v7+sLW1haOjI6ZOndro3AYAX19fSCQShIaGNjq3mxNT7Jy+PKvqkH7xxRdwc3MTuOLiYvzjH//A6NGj1eZD79694ePjI4xzSznGmFC03tnZWW3etHVufXH69MwYg5mZGUaMGKHGiVV80dZKff7558IW7uHDh1FQUKDBvHjxQuAMDAwQEhIiOg74/xP+LSwsuJdfVVNTg8OHD2PQoEE4ceIEXFxcMG/ePOH3SqUSRUVFOH/+PMaOHQtjY2PhU9xbb73V5lxCQoJwGK7qJlWXE0MbO6LnhIQEvPfee+jSpYvQRh8fH9y/fx/19eLFC3z11VcwNzeHRCKBv79/oxwAxMbGQiKRwNDQEJ9++mmrY4qd04dnpVKJc+fOYcqUKThx4gQ8PDwwe/Zsja9Qs7OzERkZCSsrK+HrvMmTJ7eYy8nJwebNm+Hl5SXMG1UZpbbOrS9On55zcnKwZcsWoSi9ihOz+KKtlSorK8PChQvBWO3Dk/PmzcOJEyeQmZmJsrIyNW7AgAEgqq35KTYOANauXStMcO7l/7mamhpkZGRg7dq1kEgk+PrrrxucCy9evEBycjLCw8PBGEN8fLxOuKqqKhQUFAhF78+cOaNxc9J3GzuiZ1UNX19fX2EuhoaGYvv27UhKSlJ7caG6uhrBwcGv5QBg5cqVAqeNmGLn9OVZqVTi4cOH+NOf/gTGGE6fPt3gOKu4+fPngzHWYNm/5nAqdu7cucLcfhWnzdz64vTpWaXFixc3idO3+JEfWlJ8fDxt376dkpKSSCqVUu/evalv375kbW1Ntra2lJaWRseOHSNPT0+yt7cXLRcYGEhRUVHcyytiXrx4sdF5UFxcTDNnzqRr165RSUmJ6Lj20MbfoucrV65QWFgYxcfHU2lpKbm4uFD37t3J3t6eHB0d6dq1a3T58mUaMGAAubq6vpYLDQ2ljz/+mP7yl79oLabYOX16Dg0Npbi4OI3xVf56vEthYSFFRETQ999/T8XFxW3O6TN3R/QsKul71diepVQqhWchqqqqkJ6ejn379iEiIgLe3t4wMTEBY7VvwUgkEkRERODWrVui4xirfaV+9uzZyMjI4F4a4KRSKSIiIpCenq524GzduaD89XVxxhgiIiJ0xgHAmTNnwBjDnDlzNA7FFUMbO6JnAIiPjxdeXikuLsY333yD1atXIygoCObm5sKclcvlWLp0Ke7fv/9KztraGkuXLsW9e/cAQCsxxc7p07O1tTXee++9Br9mratz586BMYbZs2frlNNn7o7oWQziO23NFOoduPf8+XMyNDRUKxuUn59PeXl59OLFCyopKaHCwkIKCAggFxcX6tSpkyi4x48fU2VlJT179owKCwtp+PDhZGFhQaamptxLE7mamhoiIrUDGi9dukS7du2iVatWUc+ePduMY7/WE1XNxRs3btAnn3xCH3zwAfn6+oqijR3RM2NM7fDfGzduUGxsLEVFRQncL7/8QuXl5VRdXU25ubn0888/06BBg8jCwkLt3tJUri1iip3Td+76un//Pu3du5fmzJlDb7zxhs44febuiJ7FIL5oa4GePHlCBw8epISEBGKMEQDy8PCgsWPH0rhx49oN1x7aKDYv3bt3p/Hjx9Pvfvc7Ne7AgQN04cIFYoxRVVUVeXt7tzlHRPT48WP65z//SQkJCaRQKMjAwEBUbeyInonUP9yVlJSQtbU1vU71PxC2lmuLmGLn9Jm7urparZazrjh95u6InvUuXWzn/ZZ0+fJlBAUFgTEGU1NT9OjRQ9hKZ4zB0dERUVFROHz4sKi5jIwM7qWV3MqVK3HkyBG9cJmZmU3yrM82dkTPycnJKCoqAqD+5lv9lyQKCwtRVFSkcdREQy9TFBYWCm81ayOm2Ln25Lm+Wsq1RUyxc/rO3V7Fd9qaqeHDh1NaWhrFxsbS4MGDSS6XU1VVFZ07d45OnjxJcXFxpFAoyNjYmKRSKe3cuVOUnKenJ0mlUsrPz+de2iHHPYvTc6dOncjf358WL15MPj4+1LVrVzI1NdW4j0RERJCJiQmNHj2aPDw8yMvLq0GuLhscHEz9+/dvdUyxc9wz96yL3CpVVFSQmZnZKxlRSd+rxvake/fuQSKRICYmRvhZ/RV8bm4uFi5cCCKCkZER/v73vwNQP7Ff39yqVauEE8anTp0q+OBe2gfHPYvbMxHB0NAQ/fv3x6pVq3D27Fnk5uaiqqoKQO19RLVDJ5PJYGdnh/Hjx2tw9VmpVAp3d3d8+OGHLY4pdo575p51kVulH3/8EZGRkdi/f7/G78Qqvmhrhg4cOACZTIaDBw8CqC1bBdT+8ahbu+7AgQMwNDREp06d4O7ujuzsbFFxAPDhhx+CiGBnZ4fc3FzupR1x3LM4Pe/du1f4g2FhYQEPDw9IpVJYWlpi1KhR2LZtGy5duiSU35o1axZCQkKEt5jrcwUFBdi1axcYY+jfvz+ICA4ODq2KKXaOe+aedZG7uroaALBjxw4wxvii7beqlJQUMMawdevWRhmlUokrV66AMYbf//73YIzh2LFjouKUSqXghYga5PTdxo7ohXtu355XrlwJxhg++ugjMMawadMm7NixA9OmTYOTkxMYY+jSpQu8vb3BWG15pIkTJ4Ixhr/+9a8aXHh4OMaPHw/GGIKCgiCRSHDx4sVWxRQ7xz1zz7rIvX//fiQnJ2PixImQSCSorKxs8H4iRvFFWzNUUlICPz8/GBsbY9++fSgtLW2Qy8/Ph5+fH2QyGQwNDbF69WpRcVVVVSgpKRHKhkyaNIl7aUcc9yw+z5WVlYiMjIRMJsPp06dhYmKCjRs3AgCePn2KCxcuYNOmTRg+fLhQY9HV1RWM1RbIrs+NHDlSKGyt+spVxbU0ptg57pl71kVuKysrSKVSdOvWTY1rL+KLtmbq5MmTMDAwgI2NDaKjo5GVldUoJ5VKQUSYMWOG6DgAWLRoEYhq63NyL+2L457F5/nq1avYsmWLUCczLi5O7fcKhQI//fQTtm7dimHDhqFr165gTLMMlor76quv8Ic//EGon3j27FmNZ+maG1PsHPfMPesi96pVq4TF3dmzZ9GexBdtLVBiYiIGDx4MxhgsLS0xe/ZsnDhxAunp6cjKykJ+fj4SExPh5OQEIyMj0XKenp5wdHTkXtopxz2Lt43dunUT7heNvTAREBAAuVzebK4tYoqdaw9t5J7bt+f2Ir5oa6ZUEyA1NRUrVqxQO6/Jzs4OPXv2hK2tLYgIbm5u2Lx5syg5xhjc3Nxw5MgR7qUdctyz+Dzb2NiAMQZ3d3ccPXq0wftHdXU1lEolzpw5AwMDA0RGRjbKAbVlsF7FNTem2DnumXvWRe7XcWKWAXE1S+zXk7H9/PzIz8+PFi1aRImJiZSSkkJ5eXlUUlJCjDGaP38+zZo1i7y9vYmIRM9xL+2b457F0cYFCxaocfVlYFB7y83OziZjY2OaP3/+K7mcnJxXci2JKXaOe25Y+m5jR/Isaul71fhbUnFxsbCSb89ce2hjR/TCPYszd3PaqFJOTg4OHTqkNa4tYoqdaw9t5J5bz+k7t9jEKyJoWRB5bb6mcu2hjR3RC/csztzNaSMXFxdXS8UXbVxcXFw6VkdcsHLPrefaQxt/S57FKL5o4+Li4uLi4uJqB5LouwFcXFxcXFxcXFyvF1+0cXFxcXFxcXG1A/FFGxcXFxcXFxdXOxBftHFxcXFxcXFxtQPxRRsXFxcXFxcXVzsQX7RxcXFxcXFxcbUD8UUbFxcXFxcXF1c7EF+0cXFxcXFxcXG1A/FFGxcXFxcXFxdXO9D/Ae8xH50kIRX7AAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, - "execution_count": 38, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -3372,26 +3365,28 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 27, "id": "de6efdfc-5c91-4b98-9b22-31d913b475d6", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, - "execution_count": 39, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ "parsed_results = parse_results(exp_result)\n", - "plot_histogram(parsed_results, filename=get_image_path(\"final_buckshot_roulette_quantum_optimal_strategy_Fake20QV1.png\"))\n", - "plot_histogram(parsed_results)" + "\n", + "plt.bar(x=['dealer', 'player'], height=list(parsed_results.values()))\n", + "plt.ylabel(\"counts\")\n", + "plt.savefig(get_image_path(\"final_buckshot_roulette_quantum_optimal_strategy_Fake20QV1.png\"))\n", + "plt.show()" ] } ], diff --git a/code/file-explorer.ipynb b/code/file-explorer.ipynb index 6773022..9cd10c1 100644 --- a/code/file-explorer.ipynb +++ b/code/file-explorer.ipynb @@ -47,8 +47,6 @@ "name": "stdout", "output_type": "stream", "text": [ - "Path already exists\n", - "Removing ./files-test\n", "Creating: ./files-test\n", "creating file: ajvcy.txt\n", "creating file: vitgb.txt\n", @@ -241,7 +239,7 @@ "def encoding_files_to_oracle(n_qubits, files):\n", " oracle = QuantumCircuit(n_qubits, name=\"LUT\")\n", "\n", - " encoded_bin = [bin(i)[2:].zfill(n_qubits) for i in range(len(files))]\n", + " encoded_bin = [bin(i)[2:].zfill(n_qubits)[::-1] for i in range(len(files))]\n", "\n", " for encoded in encoded_bin:\n", " x_positions = [i for i,char in enumerate(encoded) if char == '0']\n", @@ -265,7 +263,7 @@ "def get_oracle_overload(files, targets):\n", " oracle = QuantumCircuit(n_qubits, name=\"$LUT^{-1}$\")\n", "\n", - " encode = lambda x,n: bin(x)[2:].zfill(n)\n", + " encode = lambda x,n: bin(x)[2:].zfill(n)[::-1]\n", " encoded_bin = [encode(i,n_qubits) for i, file in enumerate(files) if file not in targets]\n", "\n", " for encoded in encoded_bin:\n", @@ -369,8 +367,8 @@ "\n", "\\begin{bmatrix}\n", "1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\\\\n", - " 0 & -1 & 0 & 0 & 0 & 0 & 0 & 0 \\\\\n", - " 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 \\\\\n", + " 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 \\\\\n", + " 0 & 0 & -1 & 0 & 0 & 0 & 0 & 0 \\\\\n", " 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \\\\\n", " 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 \\\\\n", " 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 \\\\\n", @@ -473,7 +471,7 @@ "qc = QuantumCircuit(3)\n", "qc.h(range(3))\n", "qc.compose(problem.grover_operator.decompose(), range(3), inplace=True)\n", - "qc.draw('mpl')" + "qc.draw('mpl', filename=get_image_path(\"file_explorer.png\"))" ] }, { @@ -507,9 +505,7 @@ "qc_copy = qc.copy()\n", "qc_copy.measure_all()\n", "aer_result = sim.run(transpile(qc_copy, sim), shots=1000).result().get_counts()\n", - "hist = plot_histogram(aer_result)\n", - "plt.savefig(get_image_path(\"AER-file-explorer-hist.png\"))\n", - "display(hist)" + "plot_histogram(aer_result, filename=get_image_path('AER_file_explorer_result.png'))" ] }, { @@ -603,7 +599,7 @@ ], "source": [ "new_qc = create_new_grover(selected_file)\n", - "new_qc.draw('mpl')" + "new_qc.draw('mpl', filename=get_image_path(\"improved_file_explorer.png\"))" ] }, { diff --git a/code/hanoi-tower.ipynb b/code/hanoi-tower.ipynb index e68dc06..9d76c15 100644 --- a/code/hanoi-tower.ipynb +++ b/code/hanoi-tower.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 2, + "execution_count": 45, "id": "2c760e58-0d49-45ef-b3bc-ca07903491c2", "metadata": {}, "outputs": [], @@ -17,7 +17,7 @@ "from qiskit_algorithms import AmplificationProblem\n", "from qiskit_algorithms import Grover\n", "from qiskit.primitives import Sampler\n", - "from qiskit.providers.fake_provider import FakeWashington\n", + "#from qiskit.providers.fake_provider import FakeWashington\n", "import numpy as np\n", "import pandas as pd\n", "import os\n", @@ -184,18 +184,18 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 3, "id": "aec2b7c1-2b06-49c8-a82d-ee000230dfd9", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] }, - "execution_count": 10, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -227,7 +227,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 4, "id": "e4327df3-6286-419d-9679-666b88786e8d", "metadata": {}, "outputs": [ @@ -322,7 +322,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 50, "id": "47c17801-81b3-4908-8ad5-c227327c1703", "metadata": {}, "outputs": [], @@ -333,10 +333,22 @@ " result = grover.amplify(problem)\n", " print(f\"Reached the expected values: {result.oracle_evaluation}\")\n", " print(f\"Top measurments: {result.top_measurement}\")\n", - " plot = plot_distribution(result.circuit_results)\n", + "\n", + " s = pd.Series(result.circuit_results[0])\n", + " df = pd.DataFrame(s)\n", + " df = df.reset_index(names=\"bit_strings\")\n", + " df = df.rename(columns={0:'distribution'})\n", + "\n", + " plt.figure(figsize=(10, 5))\n", + " plt.bar(data=df, x=\"bit_strings\", height='distribution')\n", + " plt.xticks(rotation=90)\n", + " plt.xlabel(\"bit_string\")\n", + " plt.ylabel(\"dist\")\n", + " \n", " if(filename):\n", - " plt.savefig(filename)\n", - " display(plot)" + " plt.savefig(filename, bbox_inches=\"tight\")\n", + " \n", + " display(plt.show())" ] }, { @@ -573,13 +585,13 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 5, "id": "e7b405e5-43c4-4461-b57d-147b87070a77", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvAAAAGwCAYAAADPFlGLAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuNSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/xnp5ZAAAACXBIWXMAAA9hAAAPYQGoP6dpAABiaElEQVR4nO3deViU5f7H8ffAyOaGuIGgIoqmlLvm1uZWmkettPVkeSrbLFs1szpmx71+ZcvRtFPZKctzzNK0TrnlWmiYmqgp4QYCmigpCgPM/P6YZgQZVhmGZ/i8rssL5tnm+8yMw2fuuZ/7NtlsNhsiIiIiImIIPp4uQERERERESk8BXkRERETEQBTgRUREREQMRAFeRERERMRAFOBFRERERAxEAV5ERERExEAU4EVEREREDEQBXkRERETEQBTgRUREREQMRAFeRERERMRAFOBFRERERAxEAV5ERERExEAU4EVEREREDEQBXkRERETEQBTgRUREREQMRAFeRERERMRAFOBFRERERAxEAV5ERERExEAU4EVEREREDEQBXkRERETEQBTgRUREREQMRAFeRERERMRAFOBFRERERAxEAV5ERERExEAU4EVEREREDEQBXkRERETEQBTgRUREREQMRAFeRERERMRAFOBFRERERAxEAV5ERERExEAU4EVEREREDEQBXkRERETEQBTgRUREREQMRAFeRERERMRAFOBFRERERAxEAV5ERERExEAU4EVEREREDEQBXkRERETEQMyeLkCktGw2sOZ4uorqwacGmEyerkJERERcUYAXw7DmwLo3PV1F9XDd4+Dr5+kqRERExBV1oRERERERMRAFeBERERERA1GAFxERERExEAV4EREREREDUYAXERERETEQBXgREREREQNRgBcRERERMRAFeBERERERA1GAFxERERExEAV4EREREREDUYAXEcPafgg27y///jYbLN8OR05WWEkiUomyc+DTH+GP8+U/RmoGfL4N8qwVV1dl2vgr7DxS/v3zrLBkK6T9UXE1Vabjf8B/t17a87fzCGz4teJqqgxmTxcgIlIe2w/Bv7fYQ7gN6NO6bPvbbLBkG2w+AFsS4JF+0Ky+OyoVEXfIzoF310HiCTh0Ah7tD3UCy3aM1Ax4ZzWcyYKz2fDXXuBroKbNDb/C0p/AxwT39IEOzcq2f54V/r0ZdhyBXUn2x7BxHffU6g7H/4C3V9s/wJ3NglF9yv787TwCCzeB1Wb/u3DNZe6ptaIZ6GUqInJBymn7my3Yg/imMrTE5w/vANm58PuZCi9RRNzonAVOnbP/nvaHPYiXpSU+f3gHOHEGLLkVX6e72Gxw7JT9d6vNHkLL0hKfP7wDnMuG05kVX6c7ncq01w2w8yh8tKlsLfH5wztA8qkLf1eqOq8O8NnZ2cyZM4c+ffpQr149/Pz8CA0NpXv37owfP55jx44V2P7s2bPMmjWLbt26Ua9ePQIDA+ncuTPz5s3D5uIZPXToECaTibCwsCJr6NKlCyaTiU2bNhVYHhkZiclkYt++faxfv56hQ4fSsGFDTCYTH3zwQYFtrVYrS5YsYfjw4TRp0gR/f3+aNGlC3759mTNnDhaLpcD2FouFBQsW0L9/f+rXr4+/vz+tWrXiueee4+zZs2V9GA3FarXy+YbX+dusyxg8MYA7/9GUeV89zXmLwd6VpESDO0D/mAu3SxviLw7vJhPc1RM6R7qlTBFxk3o1YWx/+08oW4i/OLxHhMAjfSHQz331VjSTCW69Eq5sab9dlhB/cXg3+8B910CbouNMldQmDO6/1l4/lC3EXxzeu0fB7T3sj6sRmGyukqkXOHHiBP3792fXrl2YzWZatGhB3bp1SU5OJjU1FZvNxv79+4mOjgZg586d3HzzzSQmJhIYGEjr1q3JyMjg8OHD2Gw27rnnHj788MMC9/HFF19w8803M2jQIL7++utCNeTk5FCrVi1ycnLIyMigdu3aAJw+fdr5AWHChAm8/PLL1K9fn8jISI4cOcLXX39Nly5dADh+/Di33nor69evB6BZs2aEhoaSmprKkSNHCAwM5MyZM/j6+gKQkJDA8OHDiY+Px2w2ExUVhY+PDwkJCeTm5tK5c2c2btxIUFCQux56t8mzwLo3i9/mnWXj+HLTm/S+/Ca6XzaII2l7+XLzW1zR4ipmjlmNj49Xf2atMNc9Dr4G+ENms8HKnbA6/sKyEd2K7k5TVHjv2sL9tYqIe5w8a+9GcerPdprGdYrvTlNUeA/yr5x6K5rVBotjIfY3++2SutMUFd7bNqmcet1hXwq89z3k/hncOzQtvjtNUeHdxyDhHby4Bf7pp59m165d3HnnnSQlJbF//362bdvGsWPHOHr0KDNnzqRVq1YAHDx4kOuvv57ExETGjRtHSkoKO3bs4ODBg6xdu5agoCAWLlzIl19+WeA+fv75ZwA6duzosob4+HgsFgstWrRwhneAHTt2APZvCKZPn868efNITU1l27ZtpKSk0KlTJwAyMzMZPHgw69ev55prrmHnzp0cPnyY2NhYDh8+zO7du3nuueec4T09PZ1BgwYRHx/P/fffT3JyMr/++it79+5lz549tG3blu3bt/P6669X4CNddRxKjWfZ5rfoc/nNTL5nKYOvfICHhv4fD/3l/9jx2zq+3/mZp0uUCmYywY2lbIlXeBfxTvVrlb4l3tvCO9hD522lbIn3xvAOcFkZWuK9IbyDFwf4pUuX4uvry/z582ncuHGBdeHh4YwfPx7Tn9+TjB49mrS0NJ588kneeOMN6tat69z22muv5aGHHgLgs88KBkBHEHcE7ott374dKBzwd+7cCdi7e8ydO5cxY8Y4Q7iPj4+zlfjpp58mLi6OPn368N1339G+ffsCx4mJieGll15y3h43bhwJCQmMGzeOBQsW0KhRI+e66Oho3nrrLYBCH0S8xbodn2Kz2bj5qicKLB985QME1Ahi9faPPVOYuFVpQrzCu4h3K02I98bw7lCaEO+t4d2hNCHeW8I7eGmAz83NxWKxkJeXx/fff1/sths2bGD9+vUEBwfzyiuvuNymc+fOgL2lPr+SWuAdAb5Dhw4FljuCf9++fRk9erTLffft28d7772Hv78/n3zyCX5+xfdniI+PZ9GiRYSGhjJ9+nSX2zjqTE5OLrD84MGDDB06lNq1a1OvXj1GjRrFyZPGG1fv16Pb8DH50KZZ9wLL/WoEENWkI/uPbvNQZeJuxYV4hXeR6qG4EO/N4d2huBDv7eHdobgQ703hHbx0GEmz2czw4cP573//y5AhQ+jbty8jRoxg6NChhIeHF9h28eLFgL0VvmbNmi6P5wjPAQEBzmUnT54kKSmJ2rVrO7viXMwR8IsK8HfffXeR57Bo0SLy8vIYNWoUzZqVPC7Up59+itVqJS8vjwEDBrjcxnGxa/7zPHPmDNdddx0hISF8+umnnD9/nvHjxzNkyBA2b95sqD7jJ/84Rp2aDfAzF35HblA3nD2Ht5CTa6GG2QCdu6XMHCEeLvSJX7LNPtxk4okL2yi8i3gvR4h39IlP+wPmfAdZOZD552gl3hjeHRwhHux94h0hvll9OPS7fbm3hncHR4h39InfeRTe/M4+34fjok+jh3fw0gAP8NFHH9GuXTvee+891q5dy9q1a3n00Ue59tprmTZtGj169ABgy5YtAPTr16/IYzlarJs3b+5c5gjn7du3d3bFyc9qtTq7yuRvoc/JyWHPnj0A3HjjjUXe5+rVqwEYPHhwiecKsHbtWsB+8e6JEyeK3TYyMtL5+/z580lOTmbDhg3ODwoRERH06tWL5cuXM3z48FLdf35du3YlNTW1zPuVxM8cyPyxB4pcn205Rw0X4d2+r/3DV3bOOQX4UohuHY0l9xJmRvGwy6+fwGV9HwMuhHebNY/YxU/w3/FfeLAyEakMQfUiuGbMf6kZ0pST+QZfO5W0i2WT7+CN8xmeK64ymEx0uWU2LbrdjtV2Ibzn5WSx8aP7+OzZ9Z6trxI0jr6aXve8j2+NAA7n61RwcNtnLHnuWcZXgTFcQkND+emnn8q1r9cG+ICAACZPnszf//53duzYwbJly3j33XdZt24dAwYMYN++fYSHhzvDedOmTYs81ubNmwHo1auXc1lJ/d9jY2PJzMwkODi4QPDfu3cvFouF5s2b07BhwyLv8+jRowBERUWV6nyTkpIA+9CW+e+vJCtWrKBPnz4FWvl79uxJVFQUX331VbkCfGpqaqFuOhUhoEbxI+f4+wVx/uxxl+ssufbvTf1LOIbYpRw7RlbOOU+XUW7J7z9OSIteNGrRxblsz8aF/LjybQ9WJSKVJjmZ8+/ey00TvsPHx36Nmc1mY/kbIzmdegnTNxtIyjujGDWrO3Ub2XOEzWbjpxWz2b5ukYcrqxzJyZ/iV/8yug9/0dnQas3LZcU7o7Dm5ni4ukvntQHewWQy0alTJzp16sQTTzxB+/btOXr0KFu3buWmm25yju+emel6nPCUlBS++uorzGYzN998s3O5oxU9JibG5X6LFtn/gxTVfaao4O/gqOf8+dK1gjq2z8rKKtX2Dnv27GHkyJGFlsfExDjPsaxCQ0PLtV9J/MzFT7FXv04TjqTtwZKbXagbze8ZydSt2UCt76UU1qSJoVvgOw2fWiC8A8Rc8zey0w+Q+OO/PVSViFSW2o1acc2YT53hHex54KZnv2L9/NvIPlv8N9VGZ/Ix0/2Ot5zhHezn323oRKxnj5K8u/DQ194m/PLBdBs6sUAvCR9fMzc9/QWxix7FZvX8rF2Xkpe8PsDnFxwc7OzP7hihpVWrVvz+++9s376dnj17FtjearXy0EMPkZ2dzZgxYwqM6nL69GkAl91ntmzZwrx584DCAd7RraakAN+0aVNOnTrFli1b6N27d4nn1qxZM9LT01m9ejVt2rQpcXuHU6dOERwcXGh5SEgIv/76a6mPk195vw4qSUnjwLdp2o24/d/x65GtXBF1lXO5JSeLxGM7uCLqarfU5Y0O7D9giHHgL3bxBasX63zTdKZNm17kOPEiYnwXX7Bq4kLf5zqNW3P/7J+LHSfe6C6+YDU/H18zvUfNL3aceG9w8QWrvj4XRqOJuOJGbvz4xmLHiTcCA5fu2sKFC5kwYUKh1uNTp07x4IMP8ttvv3HZZZc5+8DfeuutAMycObPAPikpKdx6660sX76cdu3aMXPmzALHc/QjX7BggXPEFqvVytKlSxk2bJjzg0J5W+BvuukmAKZOncp3331XYF1ycjLTpk3jwIELKWXEiBEATJw4kSVLlhQ6XkJCAi+//HKJo/IY2bUdbsNkMrF04xsFln8du4CsnHP07XSXZwqTSuFqtJnAGvbf/fM1VZR2xlYRMR5Xo83U/nP8CUd7W1lmbDUaV6PNBP3ZGFPjzy8jyjJjqxG5Gm2m5kUNUmWZsbWq8rqZWP/2t7/xwQcfANCwYUOaN2/OuXPnSExMJCsri4iICL799lvatWsH2Edmue6669iyZQu+vr60atUKPz8/9u7dS25uLl27duWLL74gIiKiwP3s2rWLLl26kJubS0BAAJGRkaSlpZGRkcGUKVP46KOP2L9/P3Fxcc5hKAEaNGjAyZMnOXr0aKFj5nf27FmuueYa51CUoaGhNG3alPT0dBITEzGZTPzxxx/OEWXOnz/P9ddfz8aNGwF7C3pkZCRWq5WjR486P2QkJibSosWFITgaN27MyJEjefvtgn2Dhw4dyokTJ/jhhx/K9Ty4Q2lmYn37y8dYtvntP2diHcyR43v5ctObxET2ZvaDaw01qo4nGWUmVoeihor86mfIOA91AqB7y9LP2CoixlPUUJEzV9rfB2r7g9lc+hlbjaaooSI/+/HC+2Db8NLP2GpERQ0V+fIX9scgyA8suaWfsbUqM2DJxRszZgwTJ06kd+/e+Pn5sWvXLo4cOUJMTAxTpkxh9+7dzvAO9iEiV61axYsvvkhUVBQHDx7k2LFj9OzZk7lz57JlyxaXQbt9+/asXLmS7t274+vrS3p6Ov369WPTpk08/fTTJCQkYDabC/SRT0pK4uTJkzRo0KDY8A5Qq1YtNm7cyD/+8Q86dOhARkYGu3fvxmq1Mnz4cBYuXFhgOMjAwEDWrFnDnDlz6NGjB7m5ufzyyy+kpaURGRnJuHHjWLVqVYHwDtC2bVuXfd0dM7cazcND32DMkFc5nBbP2188yvc7PmN478f4x99WKLx7qdKM816WGVtFxHhKM867j0/pZ2w1mtKM824qw4ytRlSacd5r+JZ+xtaqzuta4KVsXn31VZ5//nkSExOdHypiY2Pp0aMHS5cudXblqQpK0wIvFcMoLfAlhfe/L7W3utQNhJdvtm+/cqda4kW8SUnh/eL3gZNnL4wTD8ZviS8pvF98/lYbLI71rpb4ksL7xY/BvpQL48SDMVviDVSquMOYMWMICwtj2LBhrFixgiVLlnDHHXfQvXt3hg0b5unyRIpUnhlW1RIv4l3KM8NqcTO2Gk15ZlgtbsZWIyrPDKvFzdhqFArw1VydOnVYu3YtYWFh3H777dx///306tWLFSvU5USqti/iyhbeHYoK8T/+5p46RcQ9fj9T9vDuUFSIP5ftvnorms0GH28pW3h3KCrE705yX73uEJ9U9vDu4CrE/3uz/XE1AiU0oWXLlqxYsYKzZ89y+vRpPv7442InmRKpCtqE2r/uLEt4d7g4xNfyh+b13VOniLhH3SAIr2f/vSzh3eHiEB/VCAIM0HXQwWSyh3UTZQvvDheH+Ho1oUmwOyp1nyb1Ljx/ZQnvDvlDvIk/H88y7O9J1WoceBHxHjER8LerIcsCXcoQ3h0cId7fDJdHQFhwhZcoIm5Uw9ceWr/eCQNiyhbeHRwhPvY3uKF92cJfVdD9z3maageULbw7OEJ8nQDo2QpCalVsfe5Wr6b9+dt8AAZ3KN/z5wjxf5y/8HgagQK8iBhWTPil7W8ywYDLK6YWEal8NXxhWOeStytO/Vr28GdUlxo6fUxwY8cKKcUj6tWEIR0v7RiXhVVIKZVKXWhERERERAxEAV5ERERExEAU4EVEREREDEQBXkRERETEQBTgRUREREQMRAFeRERERMRAFOBFRERERAxEAV5ERERExEAU4EVEREREDEQBXkRERETEQBTgRUREREQMRAFeRERERMRAFOBFRERERAxEAV5ERERExEAU4EVEREREDEQBXkRERETEQBTgRUREREQMRAFeRERERMRAFOBFRERERAxEAV5ERERExEAU4EVEREREDEQBXkRERETEQBTgRUREREQMRAFeRERERMRAFOBFRERERAxEAV5ERERExEAU4EVEREREDEQBXkRERETEQBTgRUREREQMRAFeRERERMRAFOBFRERERAxEAV5ERERExEAU4EVEREREDEQBXkRERETEQBTgRUREREQMRAFeRERERMRAFOBFRERERAxEAV5ERERExEAU4EVEREREDEQBXkRERETEQBTgRUREREQMRAFeRERERMRAFOBFRAzKZoPE45d2jKwcSD5VMfVI5cvOgaT0SztG2h9wJqti6hGRyqEALyJiQDYbfBEHb66CTfvLd4ysHJi3Ft5aBYd/r9j6xP2yc+Dddfbn7+CJ8h0jNQPeXgX/XK0QL2IkCvAiIga05xhs+NX++5JtZQ/xjvB+6Hf77//eDHnWiq9T3Oe73ZB4ArJz7c9lWUN8aga882dwT8mAZXHuqVNEKp5XB/js7GzmzJlDnz59qFevHn5+foSGhtK9e3fGjx/PsWPHCmx/9uxZZs2aRbdu3ahXrx6BgYF07tyZefPmYbPZCh3/0KFDmEwmwsLCiqyhS5cumEwmNm3aVGB5ZGQkJpOJffv2sX79eoYOHUrDhg0xmUx88MEHBba1Wq0sWbKE4cOH06RJE/z9/WnSpAl9+/Zlzpw5WCyWAttbLBYWLFhA//79qV+/Pv7+/rRq1YrnnnuOs2fPlvVhNJRP105nyr9Hcvf0KAY8a+Kv0yI9XZKIW7RrAv1jLtwuS4jPH94Bgvxg9NXg69V/EbzP9VdA61D772UN8fnDO0BECNzU1T11ikjFM3u6AHc5ceIE/fv3Z9euXZjNZlq0aEGrVq1ITk7mp59+Ytu2bTzwwAPO7Xfu3MnNN99MYmIigYGBtG7dmoyMDHbs2MHDDz/Mjz/+yIcffljgPn7++WcAOnXq5LKGnJwcdu/ejclkokOHDs7lp0+f5vDhwwQGBrJ48WJefvll6tevT2RkJD4+PrRv39657fHjx7n11ltZv349AM2aNaNjx46kpqaybt06fvzxR8aOHevcPiEhgeHDhxMfH4/ZbCYqKopGjRqRkJDAzJkzWbVqFRs3biQoKOiSH+Oq6P1vnqd2UAjR4Z3JPH/a0+WIuI3JBDf++bayOt7+c8k2+88+rYvez1V4f7Q/hNdzX63iHn5muP8aeG897E+9EOIf6gstGha9n6vw/nBfqOlfOXWLyKXz2vaWp59+ml27dnHnnXeSlJTE/v372bZtG8eOHePo0aPMnDmTVq1aAXDw4EGuv/56EhMTGTduHCkpKezYsYODBw+ydu1agoKCWLhwIV9++WWB+3AE+I4dO7qsIT4+HovFQosWLahdu7Zz+Y4dOwD7NwTTp09n3rx5pKamsm3bNlJSUpwfCDIzMxk8eDDr16/nmmuuYefOnRw+fJjY2FgOHz7M7t27ee655/D19QUgPT2dQYMGER8fz/33309ycjK//vore/fuZc+ePbRt25bt27fz+uuvV+AjXbV89NxvLH35JDPHrKJ+nSaeLkfErRwhvrQt8Qrv3scR4kvbEq/wLuIdvDbAL126FF9fX+bPn0/jxo0LrAsPD2f8+PGYTCYARo8eTVpaGk8++SRvvPEGdevWdW577bXX8tBDDwHw2WefFTiOI4gX1QK/fft2oHDA37lzJ2DvGjN37lzGjBnjDOE+Pj74+Niflqeffpq4uDj69OnDd999V6BlHiAmJoaXXnrJeXvcuHEkJCQwbtw4FixYQKNGjZzroqOjeeuttwAKfRDxJmH1ozxdgkilKm2IV3j3XqUN8QrvIt7DKwN8bm4uFouFvLw8vv/++2K33bBhA+vXryc4OJhXXnnF5TadO3cG7C31+ZXUAu8I8Pm7z8CF4N+3b19Gjx7tct99+/bx3nvv4e/vzyeffIKfn1+x5xEfH8+iRYsIDQ1l+vTpLrdx1JmcnOxclpSUxNixY+nevTv+/v7ODzUiYhwlhXiFd+9XUohXeBfxLl7ZB95sNjN8+HD++9//MmTIEPr27cuIESMYOnQo4eHhBbZdvHgxYG+Fr1mzpsvjOcJzQECAc9nJkydJSkqidu3azq44F3ME/KIC/N13313kOSxatIi8vDxGjRpFs2bNijlbu08//RSr1UpeXh4DBgxwuY3jYtf855mQkMDnn39Ot27d8PPzY/PmzSXel4hUPUX1ic/Jg51HFN6rg6L6xI/sDsu2K7yLeBOvDPAAH330Ee3ateO9995j7dq1rF27lkcffZRrr72WadOm0aNHDwC2bNkCQL9+/Yo8lqPFunnz5s5ljnDevn17l63WVqvV2VUmfwt9Tk4Oe/bsAeDGG28s8j5Xr14NwODBg0s8V4C1a9cC9ot3T5wofhiCyMhI5+9XX301KSkpAEyePFkBXsTAXIX4ZdsvrFd4936uQvzHWy6sV3gX8Q5eG+ADAgKYPHkyf//739mxYwfLli3j3XffZd26dQwYMIB9+/YRHh7uDOdNmzYt8liOUNurVy/nspL6v8fGxpKZmUlwcHCB4L93714sFgvNmzenYcOihwk4evQoAFFRpevTnZSUBNiHtsx/fyVx9LevSF27diU1NbXCj+tnDmT+2AMVflwpLLp1NJbc854u45INfn4bQXXDSElNISKim6fLqVRX3Pgiba5+0Hnbas1j2awb+OjJvR6sSiqLjzmAq8d8RoPmF8aGzM3J4p3Hu/JGNRuhqzq/D4DOH6ruYxAaGspPP/1Urn29NsA7mEwmOnXqRKdOnXjiiSdo3749R48eZevWrdx0003O8d0zMzNd7p+SksJXX32F2Wzm5ptvdi53tKLHxMS43G/RokVA0d1nigr+Do56zp8vXYhybJ+V5fmp9FJTUwv0s68oATW8c+jLqijl2DGycs55uoxLlpeX5/zpjtdkVeUXWJvaoVcUWObj44s5OJrkn1Z7qCqpTPWaXEZg3YgCy3zNfmSb6pCSHO+hqjyjur4POFT38wfvfAy8PsDnFxwc7OzP7hihpVWrVvz+++9s376dnj17FtjearXy0EMPkZ2dzZgxYwqM6nL69GkAl91ntmzZwrx584DCAd7RraakAN+0aVNOnTrFli1b6N27d4nn1qxZM9LT01m9ejVt2rQpcXt3Cg0Ndctx/cyBbjmuFBbWpIlXtMA7Rnfy9fUtdP2LtzL71+Kq+z6m/p8trzabzfk+dd29/6Ru3WASf/zIkyWKm9Vu1IprxvyHgNr2v1k2mxWTyQeTyYebJnzLpvf/ysnD1Wfa1er4PpBfdT9/qLqPwaXkJa8L8AsXLmTPnj3cc889tGvXzrn81KlTPPfcc/z2229cdtllzj7wt956Kz/++CMzZ87kuuuuc+6TkpLCY489xvLly2nXrh0zZ84scD+OfuQLFixgxIgR1K9fH6vVypdffsmDDz6In58fubm55W6Bv+mmm9i1axdTp06lQ4cODBw40LkuOTmZhQsXMnLkSKKjowEYMWIEO3bsYOLEiTRu3JgRI0YUOF5CQgKffPIJ11xzDddee23pHsxyKu/XQSXJs8C6N91yaLnIgf0H8C1+4CND+PtSyDgPYaFhzm5m3szVaDMmTGTmm6y5803TmDZtWrGTPYlxuRpt5nSmD2ez7bdrBNTmhseXlTjZkzepbu8DF6vu5w/e+Rh4XYBfv349H3zwAbNmzaJhw4Y0b96cc+fOkZiYSFZWFhEREXz++efOT2OPPvooS5YsYcuWLbRv355WrVrh5+fH3r17yc3NpWvXrnzxxRcEBwcXuJ97772Xt956i7i4OCIiIoiMjCQtLY2MjAymTJnCRx99xP79+4scA76kAP/MM8/w1VdfsX37dq6//npCQ0Np2rQp6enpJCYmYjKZGDdunHP7p556im+//ZaNGzcycuRIQkJCiIyMxGq1cvToUU6ePAlAYmLiJT7CVduquH9z/NRhAE5nniA3z8Inq/8BQKN6zRnQpeiRf0SMrKihIuevs9/2N9svaITSzdgqxlPUUJGzVtpvm30g11r6GVtFpOryunHgx4wZw8SJE+nduzd+fn7s2rWLI0eOEBMTw5QpU9i9e3eBlnk/Pz9WrVrFiy++SFRUFAcPHuTYsWP07NmTuXPnsmXLFiIiIgrdT/v27Vm5ciXdu3fH19eX9PR0+vXrx6ZNm3j66adJSEjAbDYX6COflJTEyZMnadCggctj5lerVi02btzIP/7xDzp06EBGRga7d+/GarUyfPhwFi5cWGA4yMDAQNasWcOcOXPo0aMHubm5/PLLL6SlpREZGcm4ceNYtWoVLVq0qIBHuer639Z/8eG3L/Lhty9y+uxxzp4/7bz9v63/8nR5Im5RmnHe/c2ln7FVjKc047wH+ZV+xlYRqdq8rgW+R48ezu4xpRUUFMSUKVOYMmVKmfYbOHBgga4t+TkumMgvIiLCedFsaeuaNGkSkyZNKtX2NWrU4PHHH+fxxx8v9X14m9ce/t7TJYhUqtJO0lTUOPGglnijK+0kTSaT63Hi1RIvYjxeF+Cl7JYsWQJcGFnHcTsyMpKuXbsWuZ+IeFZZZ1hViPc+ZZ1htajJnhTiRYxFAV4YOXKky9v33HMPH374oQcqEpGSlDW8OyjEe4+yhncHhXgR4/O6PvBSdjabzeU/hXeRqispHY6m238v6wyrjhCfv0/8tkTIs1Z8neI+e5LLHt4dHCE+f5/4HUfcU6eIVDy1wIuIGFCrxvC3q+E/sTDmutKHd4f8LfH7U+HBvuCrJh1D6dvOHrzjk8sW3h3yt8TXrwXDOrunThGpeArwIiIGFRMOk4bag1h5OEL8wMvLfwzxrEHtoV+78j9/fmZ44Fr7hzefwvMSikgVpbdsEREDu9TgbTIpvBvdpT5/NXwrpg4RqTz6wlRERERExEAU4EVEREREDEQBXkRERETEQBTgRUREREQMRAFeRERERMRAFOBFRERERAxEAV5ERERExEAU4EVEREREDEQBXkRERETEQBTgRUREREQMRAFeRERERMRAFOBFRERERAxEAV5ERERExEAU4EVEREREDEQBXkRERETEQBTgRUREREQMRAFeRERERMRAFOBFRERERAxEAV5ERERExEAU4EVEREREDEQBXkRERETEQBTgRUREREQMRAFeRERERMRAFOBFRERERAxEAV5ERERExEAU4EVEREREDEQBXkRERETEQBTgRUREREQMRAFeRERERMRAFOBFRERERAxEAV5ERERExEAU4EVEREREDEQBXkRERETEQBTgRUREREQMRAFeRERERMRAFOBFRERERAxEAV5ERERExEAU4EVEREREDEQBXkRERETEQBTgRUREREQMRAFeRERERMRAFOBFRMSwrNaqcQwRT7FawWa79GOIsSjAi4iIIWXnwDtrYNP+8h8jNQNmrITDv1dcXSKVJc8K/94Cy38uf4g/cx5e/R/8crRiaxP3UoAXERHDyc2Dd9fBb8dhybbyhfjUDHhnNRz/A+auhaT0iq9TxF1sNlj0A/x8GNbtLV+IP3Me3l4Nx07BBxthT7J7apWKZ/Z0ASIVJenEflZv/5i4/d+RcvI3LLlZhIW05OoOI7n5qicI9Kvp6RJFpIL4+kBUI0g8Yb+9ZJv9Z5/WpdvfEd7PZNlvN6gNIXqLEAMxmSC6McQdst9et9f+c2gn+7qSOMJ72h/223UDoXFdt5QqbqAW+Epw6NAhZs+ezQ033EDLli2pWbMmQUFBdOjQgRkzZmCxWAptbzKZCAsLK/KYXbp0wWQysWnTpgLLp0+fjslkIiYmBquLTm3/+c9/8PHxoU6dOuzYsaNCzq+q+N+291m68XWa1G/JX/u/xAM3zqZpozZ8+L8XeOLtXmTnnPd0iSJSQUwmuLED9I+5sKy0LfEXh/eIEHikLwT5u6dWEXfp0Qpuv/LC7dK2xF8c3usFwdgBUL+W+2qViqUW+Erwyiuv8P7771OzZk2aNGlCTEwMx48fZ9euXezatYtt27bx+eefO7f/+eefAejUqZPL4+Xk5LB7925MJhMdOnQosG7cuHHMmTOHPXv2sHjxYu644w7nuo0bNzJq1CjMZjNLly6lY8eOFX+yHnTVFSO447qJ1Ay80ITwl54PEd4gmkVrpvLN1n8xvPdYD1YoIhXJEeIBVsfbf5bUEq/wLt6mRyv7z89i7T9LaolXePcOaoGvBAMHDiQuLo4zZ86wf/9+tm7dyqFDh9i2bRuNGzdm6dKl/PLLL87tHQG+qIAdHx+PxWKhRYsW1K5du8C6oKAgXnjhBQCmTJnibIXfu3cvw4YNw2Kx8MEHH9C/f383nKlntWnatUB4d7i2w20AHErdXdkliYiblaUlXuFdvFVpW+IV3r2HAnwluO222+jcuTOmiz4Kd+3alQEDBgD2UO7g6NpSVAv89u3bgaID/pgxY4iMjGTfvn0sWrSI1NRUBg0axKlTp5gxYwZ33XXXJZ6RsZzISAKgXq3GHq5ERNyhNCFe4V28XUkh3mpTePcm6kJTCbKzs1m+fDnr16/n4MGDnDlzxtky7gjufn5+zu1LaoF3BPiLu884+Pn5MXnyZO69916mTJnC66+/zuHDh3nssccYP358oe0PHjzIuHHjWLduHWazmb/85S+8/vrr1K9fv9znXFXkWfP4ZPUr+PqY6dvpTk+XIyJuUlx3mlaNFd6lenDVncbvz6SXmX3h/4DCu/EpwLvZmjVrGD16NEePFj/AalRUFAAnT54kKSmJ2rVr06pVK5fbOgJ+UQEe4O6772bmzJns3WvvDHfLLbfwxhtvFNruzJkzXHfddYSEhPDpp59y/vx5xo8fz5AhQ9i8eTM+Psb+kmbu8ifYc/gH/jZoGk0btfF0OSLiRkWFeH8zZOfabyu8i7e7OMRb/nztW/9siVd49w4K8G4UGxvL4MGDycnJ4b777uOuu+7i8ssvp169epjNZvbt20fbtm0xm820bdsWuBDO27dvX6jLDYDVamXnzp1A0S30YG/1d/SP9/X1Ze7cuS7D+Pz580lOTmbDhg00a9YMgIiICHr16sXy5csZPnx4mc+7a9eupKamlnm/kviZA5k/9kCpt//wfy+ybPPb3HjlGO7oO7HC6/Fm0a2jseQaf9Sewc9vI6huGCmpKUREdPN0OR5RXR+Dy6+fwGV9HwMuhPdTSbtYNvkO3jif4cHKKl91fQ04VNfzj+x2O11HvFpgWeapJL6eMZIFj1WvWZuq6msgNDSUn376qVz7KsC70cSJE7FYLMyYMYMJEyYUWr9y5UoA2rVrh7+/vTmopP7vsbGxZGZmEhwcTPPmzV1uY7VaufPOO9m6dStms5nc3Fzmzp3LSy+9VGjbFStW0KdPH2d4B+jZsydRUVF89dVX5QrwqampJCdX/GwQATWCSr3tR99N5pM1/+D6bqMZd8u8Cq/F26UcO0ZWzjlPl3HJ8vLynD/d8Zo0gur6GJz/31yieo3GL+BCM+Pu9R9xKGGPB6vyjOr6GnCorud/6sy/uazfU9Sq18S57OCObziw+0cPVuUZ3vgaUIB3k7y8PDZs2ADA6NGjC623Wq188sknQMGwvmeP/Y9LTExMoX0AFi1aBBTffWbs2LF8+eWXdOrUiWnTpjFo0CBee+01xo4dS0hISIFt9+zZw8iRIwsdIyYmxllLWYWGhpZrv5L4mQNLtd1H303m36teZkCXe3hqxHsuv8mQ4oU1aeIVLfC+vr7On+Hh4R6uxjOq42NQu1E014xZXCC8A1x116vUDPIj8cePPFSZZ1TH10B+1fH8/Ws14Jox/ykQ3gEuv+4B/Hzz2LXyHx6qzDOq6mvgUvKSArybZGZmOj/xZWVlFVr/2muvuRzv/fTp0wAuQ+eWLVuYN8/emlxUgJ86dSpz584lMjKSr7/+mtDQUAYMGMCqVauYMWMGs2bNKrD9qVOnCA4OLnSckJAQfv3115JP1IXyfh1UkjwLrHuz+G3+vWoK/171Mv07380zt75v+D78nnJg/wF8/Urerqr7+1LIOA9hoWEkJSV5uhyPqG6PwcWjzZiA/CPpdb5pGtOmTSv1jK3eoLq9Bi5W3c7f1VCRvVvDih32262vfogHH3yo1DO2egNvfA0o3bhJnTp1nJ/ypk6d6gzzFouF2bNn8+KLL2I22z8/5Q/wkZGRACxYsICTJ08C9tb6pUuXMmzYMOdoNa4C/MKFC3nhhRcICQnhm2++cX6ymzJlCgBvv/02KSkpbjjbqmHZ5nf46Lu/0yi4GZ2j+7P250WsjvvY+S9u/ypPlygibuRqqMjaAfbf/fM1V5V2xlYRoylqnPf+MeWbsVWqLgV4N5o0aRJgv1A0PDycbt260ahRIyZNmsRbb72FzWbDZDIVuBj13nvvxWw2ExcXR0REBG3btqVBgwaMHDmSJ554goiICKDwBazffvst999/PwEBASxbtozLLrvMua5Hjx7ccMMNnD9/nldeeaXAfvXq1XO2+ueXnp5eqLtNVffrUfuYccdPH2HW4nuY+dndBf4tWjPVwxWKiLsUNc67o4XR31y6yZ5EjKqkSZpKO9mTGIO60LjRww8/jNlsZvbs2Rw6dAhfX1+GDBnChAkTsFqt5OXl0bJlS+rUqePcp3379qxcuZIXX3yR+Ph40tPT6devH0899RSdOnXipZdewmw2F+gjv337dkaMGIHVauXjjz+mT58+hWqZMmUK//vf/3jvvfd45plnnMNWtm3b1mVf9z179nD11Ve74VFxn/G3f8j42z/0dBkiUslKM0lTcePEV6fuNOKdSjvDqqtx4oFq1Z3GWyjAu9kDDzzAAw884HKdrYiPvQMHDmTgwIEu1zm64uTXuXNnzpw5U2wd3bp1c3l/Q4YM4fnnnycpKcnZuh8bG8tvv/3G7Nmziz2miIinlWWGVYV48UalDe8OCvHeQV1oqrkxY8YQFhbGsGHDWLFiBUuWLOGOO+6ge/fuDBs2zNPliYgUqSzh3cER4tWdRrxBWcO7g7rTGJ8CfDVXp04d1q5dS1hYGLfffjv3338/vXr1YsWKFRrBRUSqrNw8eHdt2cK7Q1Eh/kCae2oVcQebDT7YWPbw7uAqxMf+VvF1inuoC43QsmVLVqxY4ekyRERKzewLI7rD+xsgLLj04d3h4u40PVtBy0ZuKVXELUwmuKkrzF1jv0i7LOHdIX93msvCoEuLiq9T3EMBXkREDCkmHB66DsLrlS28OzhCfLP6cHkE+Kj/rxhM0xB4pB8E+pU9vDv0aAV1AiE6FGr4Vmx94j4K8CIiYljRlzjxs8kE7ZtWTC0inhBRASM+t6s6k5NKKamTs4iIiIiIgSjAi4iIiIgYiAK8iIiIiIiBKMCLiIiIiBiIAryIiIiIiIEowIuIiIiIGIgCvIiIiIiIgSjAi4iIiIgYiAK8iIiIiIiBKMCLiIiIiBiIAryIiIiIiIEowEu19O22DxnwrImdv33v6VJKzYg1i4iISMVTgBfxQrM+u5cBz5pITT/kcr3jw8C32z6s1LpERETk0pk9XYCIlE7/LndzXcfbMfv6eboUERER8SAFeBGD8PXxxdfH19NliIiIiIcpwEu1ZrVZ+e/3r/LVD3P5PSOJRvWac2e/SQzsek+B7b7fsZg1P3/Cb8d2cPpMGoH+tbm8RR/uGTiFqCbtC2z712mRNK4Xybhb5vHuV0/zy8ENmEw+dIkewNjhbxNSJ7TA9qnph/jw2xeJ2/8dmedP06BuBNd0vI27+r1AgF+Qc7tvt33Iq/8ZzasPraNDy2vd9piIiIhI1aYAL9Xa+988jyXnPDf2eJAaZn9W/DCX2YvvpUn9Vlzeordzu2Vb3qZOUH1uvHIM9WqHknLyN1bGzueJf/bmn+O2E9EwusBxf/8jmWfmXkvvy2/igRtnk3hsJytj3yUz6w9mjvnOuV3aqcM89mZ3MrMy+EuvRwhvEM3O377ns7XTiT+0mdlj1uDrq/+mIiIicoGSgVRrObnZvP34NmqY7f3Kr24/glHTo1i25e0CAX7a/f8j0K9mgX37dxnFw693ZOnG13n85n8WWHfs9wRe+Otirulwq3OZyeTDVz/8k6PHf6VpozaA/QPE6cwT/ONvK7my7WAAhvZ6hPkrnuW/61/lu7iFDOp+n1vOXURERIxJo9BItTa01yPO8A7QoG444Q1bk/z7gQLbOcK7zWYjM+sPMjJ/J7hWQyIatmHfkdhCx61fp0mB8A7QqVVfAOexrVYrP+xZTqvwTs7w7nB734n4mHzYvPuLSz9JERER8SpqgZdqLTQkqtCyOkH1OX7qcIFlCck/8+G3L7Lzt+/JsmRedIwWhY4RVt/FcWvWB+CPcycByMg8wfnsszRvHOOihhBC6oSRcjKx9CdTDiaTya3HFxERkYqnAC/VWlGjutiwOX8/fuoIT829miD/OtzV/0WaNmxDgF9NTJiYu/wJzlvOFtrfx1T0aDE2m63IdRXFv0YgANk551yud3wIcWwnIiIixqEAL1KCTbu/4Hz2Wabcu5yOra4rsO6PcyepYfYv13Hr1mxIkH9tDqfFF1p35twp0v9IoeVlHct1bMe3AkfS9tK8cbtC648c31tgOxERETEO9YEXKYHPn630+VvlAb6OXUD6mdRLOK4PPdr9hYTkn9m2738F1n22bgZWm5Xel99UrmP3ihmGyWRi2Za3ycm1FFj3e8Yxvt/xGY2Cm9EqvHO56xcRERHPUAu8SAm6txnEv2oEMfPTuxnWeyy1AusRf2gzW/d9TZP6Lcmz5pb72H8bNI3t+1fx94XDGdrzEZo0aMUviRv4fudiroi6moFd7in5IC40bdSG2657js/WTueRNzpzTYfbqFe7McdO/sY3W9/jfPYZxt/+kSaGEhERMSAFeJESNGnQkqn3f8P73zzPp2un4WPyJSayN689vJ63vxhL2qlD5T5243rNefPxWBZ++xJrtn/M2Sz7RE63953IXf1euKQx4O8bNI2WYR1Y8eM8lmx4jSxLJnWC6tOxVV9uu3YCbZp2LfexRURExHNMtsq4ok6kAuRZYN2bnq6ierjucfD1K3m7qu7vSyHjPNQNhJdv9nQ1nlHdH4Pqfv6gx6C6n79452tAfeBFRERERAxEAV5ERERExEAU4EVEREREDEQBXkRERETEQBTgRUREREQMRAFeRERERMRAFOBFRERERAxEAV5ERERExEAU4EVEREREDEQBXkRERETEQBTgRUREREQMRAFeRERERMRAFOBFRERERAxEAV5ERERExEAU4EVEREREDEQBXkRERETEQBTgRUQMKjsHVseD1Vr+Y6RmwNbEiqtJRCrX7iQ4eKL8+9ts8P1eOJtVcTWJ+5k9XYCIiJRddg68uw4ST0DqabizJ/iUsUkmNQPeWQ1nsiDPCj1buaVUEXGTX47Ch5vA7AMP9YUWDcu2v80GX/0Ma/dC7G/waH+oFeCeWqViqQVeRMSAjqTDod/tv/90CBb9ULaW+PzhHWDLAXuIFxFjsNnghwT7/9vsXJi3tmwt8fnDO0BKBhxIc0+tUvEU4CvBoUOHmD17NjfccAMtW7akZs2aBAUF0aFDB2bMmIHFYim0vclkIiwsrMhjdunSBZPJxKZNmwosnz59OiaTiZiYGKwu/pr/5z//wcfHhzp16rBjx44KOb+q4ujxX5m+6C7+Nrstw16sy5Dng/jbrMuYt/wpTv6R4unyRCpUdGMYfRX4mOy3yxLiLw7vESH21jtf/UUQMQyTCe69ClqH2m+XJcRfHN4BbrsSOjV3T61S8fR2XQleeeUVxo8fz6ZNm/D19SUmJoZGjRqxa9cuJk6cyB133FFg+59//hmATp06uTxeTk4Ou3fvxmQy0aFDhwLrxo0bR+PGjdmzZw+LFy8usG7jxo2MGjUKs9nM0qVL6dixY8WdZBVwIiOJ9D9S6H35Tdw3aDoPD32Dzq0HsDJ2Po/M6cKps8c9XaJIhbqiadlDvKvw/nBfqOnv9nJFpIL5meH+a8oW4osK7+pCZywK8JVg4MCBxMXFcebMGfbv38/WrVs5dOgQ27Zto3HjxixdupRffvnFub0jwBcVsOPj47FYLLRo0YLatWsXWBcUFMQLL7wAwJQpU5yt8Hv37mXYsGFYLBY++OAD+vfv74Yz9azO0f2Y/dBa7hs0jaG9HuHGHmMYO/wtnrn1A9L/SOG7bR96ukSRCleWEK/wLuJ9yhLiFd69hwJ8Jbjtttvo3LkzJpOpwPKuXbsyYMAAwB7KHRxdW4pqgd++fTtQdMAfM2YMkZGR7Nu3j0WLFpGamsqgQYM4deoUM2bM4K677rrEMzKWxvXs3wmePX/Kw5WIuEdpQnyeVeFdxFuVJsQrvHsXjUJTCbKzs1m+fDnr16/n4MGDnDlzxtky7gjufn5+zu1LaoF3BPiLu884+Pn5MXnyZO69916mTJnC66+/zuHDh3nssccYP358gW2TkpKYMWMGW7duZefOnVgsFmw22yWdr6dZcrI4bzmLJSeLw2l7eO/rCQB0v2ywhysTcR9HiP9gI1ht9hAP9j/aAJnZ4PifrfAu4n0cIf699bA/9UKIf6gvRDZQePc2CvButmbNGkaPHs3Ro0eL3S4qKgqAkydPkpSURO3atWnVyvX/LEfALyrAA9x9993MnDmTvXvt/1tvueUW3njjjULbJSQk8Pnnn9OtWzf8/PzYvHlzaU6rSvt663u88+Vjztuh9SJ57o6PuSLqKg9WJeJ+rkK8+c/vWRXeRbxfUSH+8nCIO3xhO4V341MXGjeKjY1l8ODBJCUlcd9997F27VqOHz9OTk4ONpvNGa7NZjNt27YFLoTz9u3bF+pyA2C1Wtm5cydQdAs92Fv9Hf3jfX19mTt3Lj4uBom++uqrSUlJYfny5V7TL753zHBmPrCKyfd8wV/7v0TNwGAyMn/3dFkileLi7jS5+brRKLyLeD9X3WkU3r2PWuDdaOLEiVgsFmbMmMGECRMKrV+5ciUA7dq1w9/f/he1pP7vsbGxZGZmEhwcTPPmrsd7slqt3HnnnWzduhWz2Uxubi5z587lpZdeKrStq1B/qbp27UpqamqFH9fPHMj8sQdK3K5hcAQNgyMA6H35cK664hbGvtmN7Jxz3NF3YoXX5Y2iW0djyT3v6TIu2eDntxFUN4yU1BQiIrp5upxKFdXzHjoN+4ezIcBmtfLOuI68cS7dw5VVrur8GnCo7o9BdT1/H3MA1z+9jpohTZ3L9q17m5ETZniwKs+oqq+B0NBQfvrpp3LtqwDvJnl5eWzYsAGA0aNHF1pvtVr55JNPgIJhfc+ePQDExMS4PO6iRYuA4rvPjB07li+//JJOnToxbdo0Bg0axGuvvcbYsWMJCQkp3wmVQWpqKsnJyRV+3IAaQeXaL6pJe1qGd+KrLf9UgC+llGPHyMo55+kyLlleXp7zpztek1VVvSaX0ebaxwp8i2fy8aF1v2dZ9e692GzVZ8am6voayK+6PwbV9fx73z6zQHgHaNFjFDvXf0Jqwo8eqsozvPE1oADvJpmZmc4XTFZWVqH1r732msvx3k+fPg3gsvvMli1bmDdvHlB0gJ86dSpz584lMjKSr7/+mtDQUAYMGMCqVauYMWMGs2bNuqTzKo3Q0FC3HNfPHFjufS055zlTzVoeL0VYkyZe0QLv6+vr/BkeHu7haipH7UatuGbMfwio3QiAvJxsfMx+mEwm2va5m6CgILb950moJiG+Or4GLlbdH4PqeP5XDJpEm2sfLrTcP7AONz/3HRv/dRfpR7Z7oDLPqKqvgUvJSwrwblKnTh3Cw8NJTk5m6tSp/POf/8TX1xeLxcKcOXN48cUXnd1b8gf4yMhIABYsWMCIESOoX78+VquVL7/8kgcffBA/Pz9yc3NdBviFCxfywgsvEBISwjfffON8YUyZMoVVq1bx9ttv8+STTxY7w2tFKO/XQSXJs8C6N4ten/5HKiF1Cv9n2JGwjkOpu2nf8lq31OWNDuw/gK9fydtVdX9fChnnISw0jKSkJE+X43aux3n3J/H4hQtbm3e+hVtuvoU7e4IbetBVOdXtNeBKdX8MqtP5uxoqMrAGnM+xX9Cea4UaAbUZNG45D/WFFg09V2tl8sbXQDV4+/acSZMmATB//nzCw8Pp1q0bjRo1YtKkSbz11lvYbDZMJlOBi1HvvfdezGYzcXFxRERE0LZtWxo0aMDIkSN54okniIiw9+2++ALWb7/9lvvvv5+AgACWLVvGZZdd5lzXo0cPbrjhBs6fP88rr7zi9vP2lDeXPsxjb/XgX988z4of3mXpxjnM/HQUE9+7nkD/2jw45DVPlyjiNsVN0lSeGVtFxFiKGufd78+m2iC/ss3YKlWbArwbPfzww8yfP5/o6GjS09M5duwYQ4YMIS4uju7du5OXl0dUVBR16tRx7tO+fXtWrlxJ9+7d8fX1JT09nX79+rFp0yaefvppEhISMJvNBfrIb9++nREjRmC1Wvn444/p06dPoVqmTJkCwHvvvUdiYqL7T94Drut0B3VrNmBN3L/55/Jx/Ovr5/j16FZu7PEg85/aRavwjp4uUcQtSjPDqkK8iPcqzSRNJlPpZ2yVqk9daNzsgQce4IEHHnC5rqgJkwYOHMjAgQNdrnP0q8+vc+fOnDlzptg6unXrZvgJmkpyTYdbuabDrZ4uQ6RSlSa8OxQ12VN16U4j4o3KMsNqcZM9VZfuNN5Cb9nCkiVLWLJkiXMEHMdtd/VlF5GKUZbw7qCWeBHvUZbw7uBqnHi1xBuPWuCFkSNHurx9zz338OGHH3qgIhEpSXnCu4Na4kWMrzzh3UEt8cant2rBZrO5/KfwLlJ1+frY/0H5Zli9uCW+hhkoPHqtiFRhNfI1w5Z1htWLW+J9fcDsW7H1ifuoBV5ExIAa1oZH+8Oy7XBHj7KFdwdHiP81BW7udiHMi0jVZzLBDVfYfw8OKlt4d3CE+EU/QL8YaOr+uR6lgijAi4gYVMPa9j++l+KKpvZ/ImI8JhMMan9px/Azw71XVUw9UnnUhUZERERExEAU4EVEREREDEQBXkRERETEQBTgRUREREQMRAFeRERERMRAFOBFRERERAxEAV5ERERExEAU4EVEREREDEQBXkRERETEQBTgRUREREQMRAFeRERERMRAFOBFRERERAxEAV5ERERExEAU4EVEREREDEQBXkRERETEQBTgRUREREQMRAFeRERERMRAFOBFRERERAxEAV5ERERExEAU4EVEREREDEQBXkRERETEQBTgRUREREQMRAFeRERERMRAFOBFRERERAxEAV5ERERExEAU4EVEREREDEQBXkRERETEQBTgRUREREQMRAFeRERERMRAFOBFRERERAxEAV5ERERExEAU4EVEREREDEQBXkRERETEQBTgRUREREQMRAFeRERERMRAFOBFRERERAxEAV5ERERExEAU4EVEREREDEQBXkRERETEQBTgRUREREQMRAFeRERERMRAFOBFRERERAyk2gb4V199lcmTJ5ORkeHpUipFdTtfqR6ycyAz+9KOcSoTrLaKqUcq3+lzYLVe2jHSz1ZMLeIZl/r82Wx6DRhZRTx/2blwNqti6qks1TLAZ2RkMH78eGbNmkWtWrU8XY7bVbfzleohOwfeXQfvrCl/iE/NgP/7H3z2o0K8ER3/w/78Lfqh/CF+5xGY+hX8kFCxtUnl+OWo/fnbtL98+9tssPxnmPU1HP69YmsT97PZ4OudMHMlHDxRvmNk58J738M7q+GMgUJ8tQzw27dvx2azccUVV+Dr6+vpctyuup2vVA+f/giJJ+DYqfKF+NSMC2/YWxNhdbx76hT3yM2DuWvhj/Pw06HyhfidR2DhJsizwuJYOJDmllLFTVIz4MM/n78l28oe4h3hfd1eyMqBeesu/Rs9qVxbE2FVvD2Ez1tb9hDvCO8H0iAlA97fYH9dGEG1DfAAnTp18nAllaO6nW9+WZZz3D09igHPmnjri7GeLkcq0KAOUCfQ/ntZQ3z+8A4QEQJ9ot1Tp7iH2Rdu7gI+JvvtsoZ4R3h3fPPSPQpaNnJLqeImjevAdW0v3C5LiM8f3h2GdoKa/hVbo7hXp+bQOtT+e1lDfP7wDhBQA4Z3BpPJLaVWuGoV4D///HNMJhPPPPMMAO+++y4mk8n5b9q0aQAcOnSI2bNnc8MNN9CyZUtq1qxJUFAQHTp0YMaMGVgsFpfHj4yMxGQysW/fPtavX8/QoUNp2LAhJpOJDz74oMC2qampjBs3jhYtWhAQEEB0dDSzZs3CarVy7733YjKZeO+99wrdh8ViYcGCBfTv35/69evj7+9Pq1ateO655zh7tmAnsNKerzdb+O1LZGSW83s1qdIa14FH+5c9xLsK74/0hSD94TacK5rC6KvKHuJdhffbe1w4jhiDyQQ3doD+MReWlSbEuwrvt10JPVu5p05xHz8z3H9N2UO8q/D+cF9o3sCt5VYos6cLqEyZmZn07t2buLg4srKy6NSpE0FBQc71vXr1AuCVV17h/fffp2bNmjRp0oSYmBiOHz/Orl272LVrF9u2bePzzz8vcOzTp09z+PBhAgMDWbx4MS+//DL169cnMjISHx8f2rdv79w2NjaWwYMHk56eTq1atYiJiSEpKYkJEyZw8OBB9u61v6t07NixwH0kJCQwfPhw4uPjMZvNREVF0ahRIxISEpg5cyarVq1i48aNznMq7fl6qwNJ21m66Q0eGDyLd1c87elyxA0cIf6d1fauFI4Q/2g/1y1pCu/exxHiP9hoD+Q/HbIvv7Mn+LhoolJ49y6OEA8XusEt2Wb/2ad14e0V3r2PI8S/tx72p14I8Q/1hRYNC2/vDeEdqlkL/KhRo9iwYQM+f76rr127lk2bNjn/XXvttQAMHDiQuLg4zpw5w/79+9m6dSuHDh1i27ZtNG7cmKVLl/LLL78UOPaOHTsAyM7OZvr06cybN4/U1FS2bdtGSkqKs/tKamoqw4YNIz09neeee47jx48TFxdHamoqr7zyCu+++y47duzA19eXyy+/3Hn89PR0Bg0aRHx8PPfffz/Jycn8+uuv7N27lz179tC2bVu2b9/O66+/Xubz9UZ51jxeX/IA3drcQJ8rbvZ0OeJGpW2JV3j3XqVtiVd4906lbYlXePdepW2Jt9m8I7xDNQvwAPv37+fcuXM0b96c4OBgl9vcdtttdO7cGdNFHaG6du3KgAEDAIiPL3jF286dOwGwWq3MnTuXMWPGOC8Y9fHxcYbosWPHkpaWxqOPPsr06dMJDLSnDpPJxKRJk2jXrh0Wi4XWrVsTEBDgPP64ceNISEhg3LhxLFiwgEaNLnTWjI6O5q233gLgyy+/LPP5eqOlG17n6PF9jB3+tqdLkUpQVIh3BLU8q8K7tysqxDsuSMvJU3j3ZqUJ8Vm5Cu/erDQhPtPiHeEdqmGAd7SUX9w9Jb/s7Gz++9//MnbsWG688Uauvvpq+vTpQ58+fVixYgUAfn5+Lo/bt29fRo8e7fK4u3fvZunSpQQHBzN9+vRC600mE127di1UX3x8PIsWLSI0NNTlfvm3T05OLvP5Hjx4kKFDh1K7dm3q1avHqFGjOHnyZJHbV3Up6Qf56Lu/c9eAlwgNifR0OVJJXIV4Ryt8ZrbCe3XgKsSfz7H/fs6i8O7tigrx2X++Biy5F5YrvHunokJ8Tp79dt6f38oZPbxDNesDDyUH2jVr1jB69GiOHj1a7HGioqJcHvfuu+8ucp/PPvsMm83GXXfdRe3atV1u4+9vTxUdOnRwLvv000+xWq3k5eU5vwG4mOPC2po1a7qsq6jzPXPmDNdddx0hISF8+umnnD9/nvHjxzNkyBA2b97s/ObASOZ8/hCh9aMYcfVTni5FKtnFfeIdgc0xKpjCu/e7uE+84w+3g8K7d3PVJz4rt+A2Cu/ezVWf+Py8IbyDAnwBjotLc3JyuO+++7jrrru4/PLLqVevHmazmX379tG2bVvMZjNt214YuyonJ4c9e/YAcOONNxZ532vXrgWgX79+RW5z7NgxoGCAd+x34sQJTpwo/tLqyMjIArdLCvDz588nOTmZDRs20KxZMwAiIiLo1asXy5cvZ/jw4cXenytdu3YlNTW1zPuVxM8cyPyxB4rdZnXcx2w/sIr/e3gDZt8aFV5DdRHdOhpL7nlPl1FutRpEce3DSwmodeEd+vSxeJZNvpU3zms24uogrN1Aet69AB+fC3NfHNy2mCXPPcN4owz0XEEGP7+NoLphpKSmEBHRzdPlVJrLr5/AZX0fK7As7vPxLJmwyEMVeUZ1ff59zAH0Gb2QRq16O5fZbFZW/t9QPn5qh+cKyyc0NJSffvqpXPsqwOczceJELBYLM2bMYMKECYXWr1y5EoB27do5W8oB9u7di8VioXnz5jRs6OKS5z85WvUdQflieXl5xMbGAgUDfFJSEmAf3rJ58+bFnF1hJQX4FStW0KdPnwI19ezZk6ioKL766qtyBfjU1NRCXXkqQkCNoGLXW3Kzeferp+h+2WDq1Q4l+Xf71Iq/Z9hryczKIPn3BOrWbECtwOAKr8+bpBw7RlbOOU+XUW4htjpYL5paNTfPSmpqKlln0z1UlVSmwCYZF756+VNWtoVjycew2co5batB5eXlOX+64725qmpxvvC0mn+cOVutHgOovs+/2T8IiyWn0PKT6emkeMHjUK0CfFpaGmlpaQQHBxdqqc7Ly2PDhg0ALvuwW61WPvnkE6DwhEiOkFzSREmZmZkA5Obmuly/bNkyTpw4QaNGjQgLCyu0X1ZW2eb4Le58Hfbs2cPIkSMLLY+JiXF+q1BWoaGh5dqvJH7mwGLXW3LOczrzBLF7VxK7d2Wh9Wu2f8ya7R8z5sbZjLz2GbfU6C3CmjQxbAt87UbRXDNmMQG17R+mbTYbJpOJBk2v4LaXNrBhwW1Yzp32bJHiVuGXD+bKO/+Jz58DCTheA2373E1QUBDb/vMkVKMQ7xhQwdfXl/DwcA9XUzmuGPwCba55qNDy6+79J3XrBpP440ceqMozquPz71sjkN73fuhsfXe8B5hMPtw04Vs2vf9XTh6O83CVl5aXqlWA//XXXwFo3brw4LCZmZnOT6mugvJrr73Gzz//DBQO6o4RaEoK8GFhYZw6dYq4uDiuvPLKAutOnTrFs88+CxRsfQd7i316ejqrV6+mTZs2xd5HfsWdb/77dTU6TUhIiHP/sirv10ElybPAujeLXh/gV5MX7/5voeUZZ0/w5heP0K3NDdzQ/T6iwtq72FvyO7D/AL5+JW9X1bgaKnJkNxP/2mDvEx/cJIaH3thd5DjxYnyuhoq8PMLEh3/2iW/e+RZuufmWIseJ90Z/XwoZ5yEsNMz5ja63cjVU5K3dIT3zQp/4zjdNY9q0aS7HifdG1en5B9fjvD9wjYlvd9v7xNcIqM0Njy8rcpx4o6gmb192jgs8k5KSnK3aDnXq1HF+Mp06daozzFssFmbPns2LL76I2Wz/vFPeFvj+/fsDMG3atALDUO7bt4+BAweSmJgIFA7wI0aMAOxdfJYsWVLouAkJCbz88st8//33pT5fb2T2rcHV7UcU+tftskEAhNVvydXtRxDRsJq8a1czRY3z3rxB+WZsFeMpapz39uWcsVWMpahx3ntFl2/GVjGeoiZpatm4fDO2VmXVKsDHxMTQrFkzjh07RrNmzejZsyd9+vRh3rx5AEyaNAmwX9gZHh5Ot27daNSoEZMmTeKtt95yfgVzcX/y0rbAjx8/nvr165OcnEyHDh1o166d85/VamXw4MEAdO7cucB+Tz31FFdddRVnzpxh5MiR1K9fny5dutCpUycaNGhAdHQ0kydPLtQ/vqTzBahXrx6nT58uVGt6ejohISElP6giVUBJkzSVdrInMa6SJmkq7WRPYkwlTdJU2smexLhKmmG1tJM9GUW1CvABAQF88803DBs2jBo1ahAbG8vmzZupVasWAA8//DDz588nOjqa9PR0jh07xpAhQ4iLi6N79+7k5eURFRVFnTp1nMdMSkri5MmTNGjQgIiIiGLvPzw8nE2bNvGXv/yFoKAgjhw5QlBQEK+//jo//PADu3btAqBPnz4F9gsMDGTNmjXMmTOHHj16kJubyy+//EJaWhqRkZGMGzeOVatW0aJFizKdL0Dbtm1d9nV3zO7qDUJDIlk128ZjN2lSJ29U2hlWFeK9V2lnWFWI906lnWFVId57lRTeHbwpxJtstmo2nlYVtWnTJq666io6d+5MXFzlXVjx6quv8vzzz5OYmOj8ABIbG0uPHj1YunQpN910U6XVUpKS+sBLxbnucQzRB7604T2/tD8ujBMP0KQe6hNvYKUN7/n9cvTCOPEAXSPx6j7xjj7QdQPh5Zs9XU3FKm14v3iflTsv9IkHGNENr+0T783PP5Q+vOdnyb0wTjyAvxnD9Yn30rcrYzl37hwPPWS/Wv6xxx4rYeuKNWbMGMLCwhg2bBgrVqxgyZIl3HHHHXTv3p1hw4ZVai0iZVGe8A5qifcm5QnvoJZ4b1Ge8A5qifcm5Qnv4B0t8QrwleiFF15wTtTksGfPHgYPHkx8fDxXXXUVo0aNqtSa6tSpw9q1awkLC+P222/n/vvvp1evXqxYscKQs7BK9fHtL2UP7w6uQvyW4ucIkyomNw+WbS97eHe4OMTHHYJEA/3xFvu3aRvyDZZWlhlWXYX4r3fqg7zR7DxS9vDu4CrEf/Wz/YOhEagLTSU5fPgwkZGRmEwmWrVqRUhICMePH+fgwYMA9OrVi2XLltGggcHn9nUjdaGpPEboQpOdCwu+h6ycsoX3/BzdaWLCYWT30oc/qRpOnLE/f61Dyxbe8/vlqL0Vf2R3uLJlxddYFXhzF4r4ZPhgA9zSrfThPT9Hd5otB+DhftDUC8du8ObnH+CbXbB+X9nCe36O7jRns+1/S2oFVHyN7qAAX0lOnDjB9OnTWbVqFcnJyZw5c4bg4GA6duzInXfeyd133+0cplJcU4CvPEYI8GAP8Xl55QvvDhnnoHagwrtRZZyH2gGX9vydPgfBxU/0bGjeHuAu9fmz2eyPj7e+Brz9+YdLfw1YciEnz1jXQikxVpKGDRvyf//3f54uQ8Sr+Ju55Hexul76R7u6qFv8BM2l4q3Brbq41OfPZNJrwOgu9fnzM9v/GYk6OYuIiIiIGIgCvIiIiIiIgSjAi4iIiIgYiAK8iIiIiIiBKMCLiIiIiBiIAryIiIiIiIEowIuIiIiIGIgCvIiIiIiIgSjAi4iIiIgYiAK8iIiIiIiBKMCLiIiIiBiIAryIiIiIiIEowIuIiIiIGIgCvIiIiIiIgSjAi4iIiIgYiAK8iIiIiIiBKMCLiIiIiBiIAryIiIiIiIEowIuIiIiIGIgCvIiIiIiIgSjAi4iIiIgYiAK8iIiIiIiBKMCLiIiIiBiIAryIiIiIiIEowIuIiIiIGIgCvIiIiIiIgSjAi4iIiIgYiAK8iIiIiIiBKMCLiIiIiBiIAryIiIiIiIEowIuIiIiIGIgCvIiIiIiIgSjAi4iIiIgYiAK8iIiIiIiBKMCLiIiIiBiIAryIiIiIiIEowIuIiIiIGIgCvIiIiIiIgSjAi4iIiIgYiAK8iIiIiIiBKMCLiIiIiBiI2dMFeMqrr77K2bNnefLJJ6lbt66ny3G76na+IiIiIt6qWrbAZ2RkMH78eGbNmkWtWrU8XY7bVbfzFRGpLnYnwac/gtVavv1tNlj+M/yQULF1SeWw2WDlDti0v/zHsOTC+xvgyMkKK0sqQbVsgd++fTs2m40rrrgCX19fT5fjdtXtfEVEqoPdSfDBRsizQl4e3NkTfMrQLGezwVc/w9q9F5b1bFXxdYp72Gzw9U5YFX9hWZ/WZTuGJRcWfA8H0mB/KjzSD5rVr9AyxU2qbYAH6NSpk4crqRzV6XwHPGtyuTzAryZfTT1bydWIiLiPzWb/B/DTIfvP0oZ4V+HdcSwxjvxP2ZJt9p+lDfH5w7vzeHoNGEa16kLz+eefYzKZeOaZZwB49913MZlMzn/Tpk0D4NChQ8yePZsbbriBli1bUrNmTYKCgujQoQMzZszAYrG4PH5kZCQmk4l9+/axfv16hg4dSsOGDTGZTHzwwQcFtk1NTWXcuHG0aNGCgIAAoqOjmTVrFlarlXvvvReTycR7771X6D4sFgsLFiygf//+1K9fH39/f1q1asVzzz3H2bMFA2ppz9fbXNHiKibc/u8C/54e+S9PlyUiUqGuaAqjrwKfP9stfjoEi34ouTuNq/B+a3foFe22UsUNTCa4sQP0j7mwbMm20nWnuTi8B9SAh/tC8wZuKVXcoFq1wGdmZtK7d2/i4uLIysqiU6dOBAUFOdf36tULgFdeeYX333+fmjVr0qRJE2JiYjh+/Di7du1i165dbNu2jc8//7zAsU+fPs3hw4cJDAxk8eLFvPzyy9SvX5/IyEh8fHxo3769c9vY2FgGDx5Meno6tWrVIiYmhqSkJCZMmMDBgwfZu9f+rtqxY8cC95GQkMDw4cOJj4/HbDYTFRVFo0aNSEhIYObMmaxatYqNGzc6z6m05+ttQkOi6N/lr54uQ0TE7Rwh/oONYLWV3BKv8O5dHCEeYPWfXWlKaolXePcOJputen1hYrVaqV27NufOnePUqVMEBwcX2mbx4sVER0fTqVMnTKYLXTJ++uknhgwZQlpaGrt27eKKK65wrvv++++57rrr8PHxoUaNGrz55pvcd999+Pr6Yv2zOcTHx4fU1FQ6duxIWloazz33HC+99BKBgYHYbDamTp3KSy+9RI0aNcjLy+Ps2bMEBAQAkJ6ezpVXXklCQgL3338/U6dOpVGjRgAcOHCAYcOGsXfvXv7xj38wadKkMp2vUeRZYN2bxW8z4FkTA7rcw5Mj5pObZyHQXxftlsd1j4Ovn6erEJHS+uXohRAP0DXyQoj/+1LIOA91AqBrC4V3b2SzwcqdF0I8wIhu9hDveP7rBsKkoQrv3qJadaEB2L9/P+fOnaN58+ZFhtnbbruNzp07FwjvAF27dmXAgAEAxMfHF1i3c+dOwB6Y586dy5gxY5wXjPr4+ODzZ1PI2LFjSUtL49FHH2X69OkEBgYCYDKZmDRpEu3atcNisdC6dWtneAcYN24cCQkJjBs3jgULFjjDO0B0dDRvvfUWAF9++WWZz9fbbPxlCUMmBTH0hdqMnNyIt798jMzzGZ4uS0TEbUrTnSYrV+HdW5WmO43NpvDuTapVFxqAHTt2AIW7p+SXnZ3N8uXLWb9+PQcPHuTMmTPOVnRHcPfzK9g86Thu3759GT16tMvj7t69m6VLlxIcHMz06dMLrTeZTHTt2pX4+PgC9cXHx7No0SJCQ0Nd7pf/fJKTk8t0vklJScyYMYOtW7eyc+dOLBYLRv5S5rKm3bm6/UiaNGjFuaw/2Lrva5Ztfptdv61nztgtapEXEa9VVHcaR4i35F7YVuHd+xTVnSaghv33TIvCuzdRgL/ImjVrGD16NEePHi32OFFRUS6Pe/fddxe5z2effYbNZuOuu+6idu3aLrfx9/cHoEOHDs5ln376KVarlby8POc3ABdzXFhbs2ZNl3UVdb4JCQl8/vnndOvWDT8/PzZv3lxk/Ubw1uOxBW4P6DqKFmHt+eB/k1i6aQ539ZtUxJ4iIsbnKsT7XDQ4l8K793IV4rNy7D/z/vwgp/DuHRTg83FcXJqTk8N9993HXXfdxeWXX069evUwm83s27ePtm3bYjabadu2rXO/nJwc9uzZA8CNN95Y5H2vXbsWgH79+hW5zbFjx4CCAd6x34kTJzhx4kSx5xcZGVngdkkB/uqrryYlJQWAyZMnV0iA79q1K6mpqZd8nIv5mQOZP/ZAmfe79dpn+XjVy2zdu1IBvpSiW0djyT3v6TJEpJzC2g2k51/fxce3hrNfPEDc5xNYMuETzxUmleby6ydwWd/HCizLyfqDNW/dycdP7fBMUVJAaGgoP/30U7n2VYDPZ+LEiVgsFmbMmMGECRMKrV+5ciUA7dq1c7aUA+zduxeLxULz5s1p2LBhkfftaNVv1qyZy/V5eXnExtpbkPMH+KSkJMA+vGXz5s2LObvCSgrwPmWZ9aOUUlNTC3XlqQgBNYJK3sgFs28N6tdpQkbm7xVckfdKOXaMrJxzni5DRMopOfkDGrcbQqtuNzuX5eVms/nLV7HZyjltqxhK2scTaHLFX6jTMNK5bOequeyOXem5oqTCVKsAn5aWRlpaGsHBwYVaqvPy8tiwYQOAyz7sVquVTz6xt1pcPCGSIySXNFFSZmYmALm5uS7XL1u2jBMnTtCoUSPCwsIK7ZeVlVXs8S9W3Pm6U2hoqFuO62cOLNd+lpwsTmQk0bZ5jwquyHuFNWmiFngRA7ti0KQC4R3A1+zPsCf/w7b/PAkK8V7Nt0YAve9dWCC8A3T9ywR8ck+T+OO/PVOYFHApealaBfhff/0VgNatCw+OmpmZSV5eHuA6KL/22mv8/PPPQOGg7hiBpqQAHxYWxqlTp4iLi+PKK68ssO7UqVM8++yzQMHWd7C32Kenp7N69WratGlT7H3kV9z5ulN5vw4qSUnDSP6ReZI6NQvPAf3hty+SZ82lR9u/uKUub3Rg/wENIyliQK7Gee8dDT8k2PvEN+98C7fcfEupZ2wV47l4nHd/M7RvCtsO2m93vmk606ZNL/WMrVI1Vav/vo4LPJOSkpyt2g516tQhPDwcgKlTpzrDvMViYfbs2bz44ouYzfbPO+Vtge/fvz8A06ZNKzAM5b59+xg4cCCJiYlA4QA/YsQIwN7FZ8mSJYWOm5CQwMsvv8z3339f6vP1Rp+s+QePv9WTf33zPF/9MI//fv8qz87ry3/Xv8plza5keJ/HSj6IiIhBFTVJ08ju5ZuxVYzH1SRNj/SzzwlQnhlbpeqqVhM5ZWVl0aZNG44cOUJISAitW7fG19eXv/71rzz00EPMnTuXRx55BIDGjRvTtGlTDhw4wLlz53jnnXd4+OGHsVqtnD59mjp16jiP26BBA06ePMnRo0eJiIgo8v6Tk5Pp0KEDJ0+exNfX19kyvm/fPjp16kRoaChff/01ixYt4o477nDud/78ea6//no2btwIQEhICJGRkVitVo4ePcrJkycBSExMpEWLFqU+34tNnjyZl19+ucoOI1lSC/yW3ctY/sM/OZS6mz/OncTX5EuTBtFc0+FWRlz9FH41AoreWQrQRE4ixlKaGVaLm+xJjK+kGVaLm+xJjKda/bcNCAjgm2++YdiwYdSoUYPY2Fg2b95MrVr2scEffvhh5s+fT3R0NOnp6Rw7dowhQ4YQFxdH9+7dycvLIyoqqkB4T0pK4uTJkzRo0KDY8A4QHh7Opk2b+Mtf/kJQUBBHjhwhKCiI119/nR9++IFdu3YB0KdPnwL7BQYGsmbNGubMmUOPHj3Izc3ll19+IS0tjcjISMaNG8eqVasKhPfSnK+36XX5MGY88C2fvZjM19Oz+GpaJu8+tYM7+z2v8C4iXqs04R1KN9mTGFNJ4R1KN9mTGEe1aoGvyjZt2sRVV11F586diYuL80gNRm+Bl4qjFngRYyhteM9PLfHepTThPT+1xHuHanURa1V17tw5Z5eWxx6r/H7ajn71jrHsHbcjIyPp2rVrpdcjIiIlK094h6JnbFWIN56yhncoesZWUIg3ErXAV6IXXniBRx55hCZNmjiX7dmzh0ceeYT169dz1VVX8f3337tlbPbimEwml8vvuecePvzww0qtpThqga88aoEXqfpW7ba3pDqUdYbVi1vi+7S2t8SKMdhs8O462Gefi7HMM6y6aokf1Rs6R1Z4qeIGCvCV5PDhw0RGRmIymWjVqhUhISEcP36cgwft4zr16tWLZcuW0aCB5jYuigJ85VGAF6n6TpyBd1bD6XNlD+8OjhDvXwMe6QtNC4/EK1VYfBK8vxFq+JYtvDvkD/FN6tlfA7V0yZghKMBXkhMnTjB9+nRWrVpFcnIyZ86cITg4mI4dO3LnnXdy9913O4epFNcU4CuPAryIMZw4A4dOQLeo8h9jdxLUDVR4N6r4ZKjlX/bw7mCzwcb90Lm5wruRKMCLYSjAVx4FeBERkapLl6uIiIiIiBiIAryIiIiIiIEowIuIiIiIGIgCvIiIiIiIgSjAi4iIiIgYiAK8iIiIiIiBKMCLiIiIiBiIAryIiIiIiIEowIuIiIiIGIgCvIiIiIiIgZhsNpvN00WIlIbNBtYcT1dRPfjUAJPJ01WIiIiIKwrwIiIiIiIGoi40IiIiIiIGogAvIiIiImIgCvAiIiIiIgaiAC8iIiIiYiAK8CIiIiIiBqIALyIiIiJiIArwIiIiIiIGogAvIiIiImIgCvAiIiIiIgaiAC8iIiIiYiAK8CIiIiIiBqIALyIiIiJiIArwIiIiIiIGogAvIiIiImIgCvAiIiIiIgaiAC8iIiIiYiAK8CIiIiIiBqIALyIiIiJiIArwIiIiIiIGogAvIiIiImIgCvAiIiIiIgaiAC8iIiIiYiAK8CIiIiIiBqIALyIiIiJiIArwIiIiIiIG8v9la0M2Uz1IpAAAAABJRU5ErkJggg==", "text/plain": [ "
" ] @@ -698,7 +710,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 51, "id": "ae8c22b0-53a0-4070-9cd0-3e1535610f90", "metadata": {}, "outputs": [ @@ -712,9 +724,9 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -723,7 +735,7 @@ { "data": { "text/plain": [ - "
" + "None" ] }, "metadata": {}, diff --git a/code/miles-to-km.ipynb b/code/miles-to-km.ipynb index b8049e7..78ae740 100644 --- a/code/miles-to-km.ipynb +++ b/code/miles-to-km.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 5, "id": "794ecdc0-3ce0-4983-b71a-48ed970d9c5d", "metadata": {}, "outputs": [], @@ -39,7 +39,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 6, "id": "af4853e1-ff8b-4809-b851-700fe5eebef1", "metadata": {}, "outputs": [], @@ -96,7 +96,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 7, "id": "ed39eebe-a21b-49cb-8df4-0cdbbd42a674", "metadata": {}, "outputs": [], @@ -137,7 +137,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 8, "id": "6c214771-acd0-4783-b019-fce84c491724", "metadata": {}, "outputs": [], @@ -196,7 +196,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 9, "id": "6d3ac060-f8ac-4b8c-81cc-3ad65143c991", "metadata": {}, "outputs": [], @@ -294,28 +294,28 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 4, "id": "efa83f23-a141-4135-8b97-5c90c90cf91d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{21: 344, 13: 1, 3: 1}" + "{8: 1, 2: 1}" ] }, - "execution_count": 11, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "breakdown(7240)" + "breakdown(10)" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 11, "id": "b529aa33-d514-4f49-a56f-e3a4e05823c9", "metadata": {}, "outputs": [], @@ -326,7 +326,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 12, "id": "be1af740-ec62-4864-be91-2491c6510335", "metadata": {}, "outputs": [], @@ -339,7 +339,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 13, "id": "2ad5c568-6660-4892-885b-85acd4ea4d99", "metadata": {}, "outputs": [], @@ -394,7 +394,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 14, "id": "f4512509-e56c-4c35-8e43-631444eacabf", "metadata": {}, "outputs": [], @@ -431,7 +431,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 15, "id": "481824ec-dec3-4851-8d33-600a46298efb", "metadata": {}, "outputs": [], @@ -484,7 +484,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 16, "id": "0421f810-f8dd-48b2-962c-e09ad8d3824c", "metadata": {}, "outputs": [], @@ -494,7 +494,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 17, "id": "799f096d-6f52-47c9-884b-236e53e9800d", "metadata": {}, "outputs": [], @@ -520,13 +520,13 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 18, "id": "7c5df824-11cc-4e5b-858f-4a48a0c239ee", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -542,7 +542,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 19, "id": "fc20d1fc-315c-4daa-a8ed-139b88fa99f6", "metadata": {}, "outputs": [], @@ -574,14 +574,14 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 23, "id": "4c9dffdc-5cf2-4384-921b-9ec89e176746", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "cfd15cfee8d24aa7b4f470c0ab5d107a", + "model_id": "fd0b98db9cab4fbe9f6e2f12dff31457", "version_major": 2, "version_minor": 0 }, @@ -600,7 +600,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 24, "id": "c1fa531c-a215-45d8-b6d6-cf66572e0cd8", "metadata": {}, "outputs": [ @@ -673,12 +673,12 @@ " \n", " 8\n", " 10\n", - " 140\n", + " 137\n", " \n", " \n", " 9\n", " 11\n", - " 212\n", + " 214\n", " \n", " \n", "\n", @@ -694,11 +694,11 @@ "5 7 34\n", "6 8 55\n", "7 9 88\n", - "8 10 140\n", - "9 11 212" + "8 10 137\n", + "9 11 214" ] }, - "execution_count": 26, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -710,7 +710,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 20, "id": "5a4b31d9-5b58-4e0f-a3b5-18fd002309a7", "metadata": {}, "outputs": [], @@ -721,7 +721,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 21, "id": "76a50e57-ef41-4f86-bdfa-b423d1294112", "metadata": {}, "outputs": [ @@ -819,7 +819,7 @@ "9 144 233" ] }, - "execution_count": 28, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -852,14 +852,14 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 25, "id": "2a48d487-a631-4802-be6a-61843e539db6", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "5500664e313d40c1a9c76643cbc94c02", + "model_id": "0e5b19b3269347b0bbaee1a5d4240ade", "version_major": 2, "version_minor": 0 }, @@ -903,35 +903,35 @@ " 17711\n", " 28657\n", " 21\n", - " 995\n", + " 983\n", " \n", " \n", " 20\n", " 28657\n", " 46368\n", " 22\n", - " 997\n", + " 999\n", " \n", " \n", " 21\n", " 46368\n", " 75025\n", " 23\n", - " 1005\n", + " 1008\n", " \n", " \n", " 22\n", " 75025\n", " 121393\n", " 24\n", - " 1007\n", + " 1012\n", " \n", " \n", " 23\n", " 121393\n", " 196418\n", " 25\n", - " 1022\n", + " 1013\n", " \n", " \n", "\n", @@ -939,14 +939,14 @@ ], "text/plain": [ " miles km n_qubits result\n", - "19 17711 28657 21 995\n", - "20 28657 46368 22 997\n", - "21 46368 75025 23 1005\n", - "22 75025 121393 24 1007\n", - "23 121393 196418 25 1022" + "19 17711 28657 21 983\n", + "20 28657 46368 22 999\n", + "21 46368 75025 23 1008\n", + "22 75025 121393 24 1012\n", + "23 121393 196418 25 1013" ] }, - "execution_count": 30, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -967,15 +967,15 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 68, "id": "bc62df0c-0a37-4dbd-a8e5-9f3edbf148a9", "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAABloAAAHWCAYAAAAfGFRWAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/OQEPoAAAACXBIWXMAAA9hAAAPYQGoP6dpAAD0vElEQVR4nOzdeVhUZf/H8fewI6uogLhimbuiYIpp6SOJZhappeaaW5pmaqVZ5qNtmpWpueVSbphppZWW5VJZSioo7vu+gQvCCMo68/uDx/lFWmqBB8bP67rm6plzf+fMZ+bq6Rzme859m6xWqxURERERERERERERERG5bQ5GBxARERERERERERERESmq1GgRERERERERERERERH5h9RoERERERERERERERER+YfUaBEREREREREREREREfmH1GgRERERERERERERERH5h9RoERERERERERERERER+YfUaBEREREREREREREREfmH1GgRERERERERERERERH5h9RoERERERERERERERER+YfUaBGRfNGjRw9MJhMmk4maNWve8fePj4+3vb/JZOKLL7644xlERETkzjD6vON2DB482JbV09PT6DgiIiJym4rSecftCAkJsX2uRx991Og4IkWeGi0ikm9KlizJggULGDduXJ7tGzdupHHjxhQrVozAwEAGDRpEamrqLe2zYsWKeRoof3xUrlzZVlehQgUWLFjAq6++mq+fSURERAqnG513WCwWZsyYQUhICJ6engQEBNCqVSs2btx4S/vcv38/Q4YMoVGjRri5uWEymTh27NgNa//qHKVfv3556rp27cqCBQto0qTJP/6sIiIiYqwbnXf8+OOP9OrVi5o1a+Lo6EjFihX/dh+HDx/m6aefxt/fH3d3dypXrsxrr7120/e+ePEi7733Hg8++CClSpXC19eXhg0b8vnnn19Xu3v3bp588kkqVapEsWLFKFmyJA8++CDffvvtdbXvvPMOCxYsoGTJkjf/AkTkppyMDiAi9sPDw4MuXbrk2RYfH0/z5s2pVq0aEyZM4NSpU7z//vscPHiQ77///qb7nDhx4nVNmePHjzNy5EhatGhh21a8eHG6dOnCzz//zDvvvJM/H0hEREQKrRudd7z88stMmDCBLl268Nxzz5GcnMzHH3/MQw89xIYNG7j//vv/dp8xMTFMnjyZ6tWrU61aNeLj4/+2PiQkhBdffDHPtvvuuy/P89DQUEJDQ1mzZg1bt2699Q8oIiIihcaNzjsWLVrE559/Tr169QgKCvrb18fHx9O0aVPKlCnDiy++SIkSJThx4gQnT5686XvHxMTw2muv8cgjjzBy5EicnJz48ssv6dixI3v27GHMmDG22uPHj3P58mW6d+9OUFAQV65c4csvv+Sxxx7j448/pm/fvrbaRx55BICRI0fezlchIn9BjRYRKVCvvvoqxYsX5+eff8bb2xvIvQK0T58+/Pjjj3maJTcSFRV13ba33noLgM6dO+d7XhERESmasrOzmT59Ou3bt2fBggW27deu6oyOjr5po+Wxxx4jOTkZLy8v3n///Zs2WsqUKXPdjy4iIiJyd3jnnXeYNWsWzs7OPProo+zateuGdRaLha5du1K1alV++ukn3N3db+t9atSowcGDB6lQoYJt23PPPUdERATvvvsuw4YNw8PDA8htnlxroFwzcOBAQkNDmTBhQp5Gi4jkL00dJiIFxmw2s3r1arp06WJrsgB069YNT09PlixZkqd+3759nDhx4qb7XbRoEcHBwTRq1CjfM4uIiEjRlJWVxdWrVwkICMiz3d/fHwcHh+t+1LjReYefnx9eXl639b6ZmZmkpaX9s9AiIiJSZAUFBeHs7HzTuh9//JFdu3bx3//+F3d3d65cuUJOTs4Na1NSUti3bx8pKSm2bcHBwXmaLAAmk4moqCgyMjI4cuTI376/o6Mj5cqVIzk5+eYfSkT+MTVaRKTA7Ny5k+zsbMLCwvJsd3FxISQkhG3btuXZXq1aNbp16/a3+9y2bRt79+7l6aefzve8IiIiUnS5u7vToEED5s6dS3R0NCdOnGDHjh306NGD4sWLX3cF562cd9zMunXrKFasGJ6enlSsWJFJkyb9q/2JiIiI/VmzZg0Arq6uhIWF4eHhQbFixejYsSNJSUl5apctW0a1atVYtmzZTfebkJAAcMM1VtLS0rhw4QKHDx/mww8/5Pvvv6d58+b58GlE5K9o6jARKTBnz54FoHTp0teNlS5dml9//fW29xkdHQ1o2jARERG53sKFC+nQoUOe6bwqVarEhg0bqFSpUr6+V+3atWncuDFVqlTh4sWLzJ07l8GDB3PmzBnefffdfH0vERERKboOHjwIwFNPPUXLli0ZMWIE27dvZ+zYsZw8eZLffvsNk8l0W/tMSkpi9uzZNGnS5Ia/ubz44ot8/PHHADg4ONC2bVumTJny7z+MiPwlNVpEpMBcvXoVyL1q48/c3Nxs49dYrda/3Z/FYmHx4sXUrVuXatWq5V9QERERsQteXl7UqFGD8PBwmjdvTkJCAuPGjSMqKopff/01zxWfNzvvuJlvvvkmz/NnnnmGVq1aMWHCBJ5//nnKli37r/YvIiIi9iE1NRWA+vXrs3DhQgDatWtHsWLFGDFiBGvXriUiIgKAHj160KNHj7/dn8VioXPnziQnJ/PRRx/dsGbw4MG0b9+eM2fOsGTJEnJycsjMzMy/DyUi19HUYSJSYK7NhZ6RkXHdWHp6+m0vAPfLL79w+vRp3c0iIiIi18nOziYiIgIfHx+mTJnCE088Qf/+/VmzZg2HDx/mvffeK9D3N5lMDBkyhOzsbH7++ecCfS8REREpOq799tGpU6c8269Nib5x48bb2t/zzz/PqlWrmD17NnXq1LlhTdWqVYmIiKBbt26sWLGC1NRU2rRp868vNBGRv6ZGi4gUmGu3r16bQuyPzp49S1BQ0G3tLzo6GgcHh+tOTkRERETWr1/Prl27eOyxx/Jsr1y5MtWqVWPDhg0FnqFcuXIA1823LiIiIneva799BAQE5Nnu7+8PwKVLl255X2PGjGHatGmMGzeOrl273vLr2rdvz5YtWzhw4MAtv0ZEbo8aLSJSYGrWrImTkxOxsbF5tmdmZhIfH09ISMgt7ysjI4Mvv/ySpk2b3naDRkREROxfYmIiADk5OdeNZWVlkZ2dXeAZjhw5AkCpUqUK/L1ERESkaAgNDQXg9OnTebafOXMGuPXzhqlTpzJ69GgGDx7M8OHDbyvDtanbU1JSbut1InLr1GgRkQLj4+NDREQECxcu5PLly7btCxYsIDU1lSeffDJP/b59+zhx4sQN9/Xdd9+RnJysacNERETkhu677z4AFi9enGf71q1b2b9/P3Xr1s2z/e/OO24mKSnpuoZOVlYW48aNw8XFhWbNmv2j/YqIiIj9efzxx3F1deXTTz/FYrHYts+ePRuAhx9+2LYtJSWFffv2XdcQ+fzzzxk0aBCdO3dmwoQJf/le586du25bVlYW8+fPx93dnerVq//bjyMif8HJ6AAiYt/efvttGjVqxEMPPUTfvn05deoUH3zwAS1atKBly5Z5aqtVq8ZDDz10w3nNo6OjcXV1pV27dncouYiIiBQloaGhPPzww8ybNw+z2UyLFi04e/YsH330Ee7u7gwePDhP/Y3OO1JSUmyLyl6bamzKlCn4+vri6+vLwIEDAfjmm2946623aN++PcHBwSQlJbFo0SJ27drFO++8Q2Bg4B35zCIiImKcHTt28M033wBw6NAhUlJSeOuttwCoU6cObdq0ASAwMJDXXnuNUaNG0bJlS6Kioti+fTuzZs2iU6dO1K9f37bPZcuW8cwzz/Dpp5/So0cPADZv3ky3bt0oUaIEzZs3Jzo6Ok+ORo0aUalSJQCeffZZzGYzDz74IGXKlCEhIYHo6Gj27dvHBx98gKenZ0F/LSJ3LTVaRKRA1atXjzVr1jB8+HCGDBmCl5cXvXr1YuzYsbe8D7PZzMqVK2ndujU+Pj4FmFZERESKsq+//pr333+fxYsXs2rVKlxcXGjSpAlvvvkmVapUuenrL126xOuvv55n2wcffABAhQoVbI2WWrVqUb16dRYuXMj58+dxcXEhJCSEJUuWXHfHroiIiNinrVu3XnfecO159+7dbY0WgJEjR1K8eHE++ugjBg8enKf5cjN79uwhMzOT8+fP07Nnz+vGP/30U1ujpUOHDsyZM4fp06dz8eJFvLy8CA0N5d13371uHTsRyV8mq9VqNTqEiBR9PXr0YN26dWzduhUnJyd8fX3v6Pvn5ORw6dIlNmzYQFRUFEuXLqV9+/Z3NIOIiIjcGUafd9yOtLQ0rl69yvPPP8+3335Lamqq0ZFERETkNhSl847bkZycTHZ2NvXq1aN27dqsWLHC6EgiRZrWaBGRfHPy5ElKlSpF48aN7/h779y5k1KlShEVFXXH31tERETuPCPPO27Ha6+9RqlSpa5bO0ZERESKjqJy3nE7mjZtSqlSpTh58qTRUUTsgu5oEZF8sWfPHs6cOQOAp6cnDRs2vKPvn5qayu+//257Xrt2bfz9/e9oBhEREbkzjD7vuB0HDhzgxIkTADg5OdG0aVNjA4mIiMhtKUrnHbdj06ZNXL58GYBSpUpRp04dgxOJFG1qtIiIiIiIiIiIiIiIiPxDmjpMRERERERERERERETkH1KjRURERERERERERERE5B9So0VEREREREREREREROQfcjI6QGFgsVg4c+YMXl5emEwmo+OIiIgUClarlcuXLxMUFISDg67NKEg6FxEREbmezkXuHJ2LiIiIXO92zkXUaAHOnDlDuXLljI4hIiJSKJ08eZKyZcsaHcOu6VxERETkr+lcpODpXEREROSv3cq5iBotgJeXF5D7hXl7exucRkREpHAwm82UK1fOdpwsaipWrMjx48ev2/7cc88xdepU0tPTefHFF1m8eDEZGRlERkYybdo0AgICbLUnTpygf//+/PTTT3h6etK9e3fGjh2Lk9P/n0L9/PPPDB06lN27d1OuXDlGjhxJjx49biurzkVERESuV9TPRYoSnYuIiIhc73bORdRoAdttsd7e3jqhEBER+ZOiOn3Eli1byMnJsT3ftWsXDz/8ME8++SQAQ4YMYeXKlSxduhQfHx8GDhxI27Zt2bBhAwA5OTm0bt2awMBANm7cyNmzZ+nWrRvOzs688847ABw9epTWrVvTr18/oqOjWbt2Lb1796Z06dJERkbecladi4iIiPy1onouUpToXEREROSv3cq5iMlqtVrvQJZCzWw24+PjQ0pKik4oRERE/sfejo+DBw9mxYoVHDx4ELPZTKlSpVi0aBHt27cHYN++fVSrVo2YmBgaNmzI999/z6OPPsqZM2dsd7nMmDGD4cOHc/78eVxcXBg+fDgrV65k165dtvfp2LEjycnJrFq16paz2dt3LSIikh90fLxz9F2LiIhc73aOj1pNTkREROxeZmYmCxcupGfPnphMJuLi4sjKyiIiIsJWU7VqVcqXL09MTAwAMTEx1KpVK89UYpGRkZjNZnbv3m2r+eM+rtVc28dfycjIwGw253mIiIiIiIiISNGkRouIiIjYveXLl5OcnGxbOyUhIQEXFxd8fX3z1AUEBJCQkGCr+WOT5dr4tbG/qzGbzVy9evUv84wdOxYfHx/bQ4vPioiIiIiIiBRdarSIiIiI3ZszZw6tWrUiKCjI6CgAjBgxgpSUFNvj5MmTRkcSERERERERkX9IjRYRERGxa8ePH2fNmjX07t3bti0wMJDMzEySk5Pz1CYmJhIYGGirSUxMvG782tjf1Xh7e+Pu7v6XmVxdXW2LzWrRWRERkcJn7Nix1K9fHy8vL/z9/YmKimL//v15atLT0xkwYAAlSpTA09OTdu3aXXdecOLECVq3bk2xYsXw9/fn5ZdfJjs7O0/Nzz//TL169XB1deXee+9l7ty51+WZOnUqFStWxM3NjQYNGrB58+bbziIiIiIFR40WERERsWuffvop/v7+tG7d2rYtNDQUZ2dn1q5da9u2f/9+Tpw4QXh4OADh4eHs3LmTc+fO2WpWr16Nt7c31atXt9X8cR/Xaq7tQ0RERIqmX375hQEDBvD777+zevVqsrKyaNGiBWlpabaaIUOG8O2337J06VJ++eUXzpw5Q9u2bW3jOTk5tG7dmszMTDZu3Mi8efOYO3cuo0aNstUcPXqU1q1b06xZM+Lj4xk8eDC9e/fmhx9+sNV8/vnnDB06lP/+979s3bqVOnXqEBkZmecc5WZZREREpGCZrFar1egQRjObzfj4+JCSkqIrSkVERP7HHo6PFouF4OBgOnXqxLhx4/KM9e/fn++++465c+fi7e3N888/D8DGjRuB3B9HQkJCCAoKYvz48SQkJNC1a1d69+7NO++8A+T+OFKzZk0GDBhAz549WbduHYMGDWLlypVERkbeck57+K5FRETyW2E6Pp4/fx5/f39++eUXHnzwQVJSUihVqhSLFi2iffv2AOzbt49q1aoRExNDw4YN+f7773n00Uc5c+aMbU23GTNmMHz4cM6fP4+LiwvDhw9n5cqV7Nq1y/ZeHTt2JDk5mVWrVgHQoEED6tevz5QpU4Dc85ty5crx/PPP88orr9xSlpspTN+1iIhIYXE7x0fd0SIiIiJ2a82aNZw4cYKePXteN/bhhx/y6KOP0q5dOx588EECAwP56quvbOOOjo6sWLECR0dHwsPD6dKlC926deONN96w1QQHB7Ny5UpWr15NnTp1+OCDD5g9e/ZtNVlERESk8EtJSQHAz88PgLi4OLKysoiIiLDVVK1alfLlyxMTEwNATEwMtWrVsjVZACIjIzGbzezevdtW88d9XKu5to/MzEzi4uLy1Dg4OBAREWGruZUsf5aRkYHZbM7zEBERkX/OyegAIiIiIgWlRYsW/NXNu25ubkydOpWpU6f+5esrVKjAd99997fv0bRpU7Zt2/avcoqIiEjhZbFYGDx4MA888AA1a9YEICEhARcXF3x9ffPUBgQEkJCQYKv5Y5Pl2vi1sb+rMZvNXL16lUuXLpGTk3PDmn379t1ylj8bO3YsY8aMucVvQERERG5Gd7SIiIiIiIiIiPyFAQMGsGvXLhYvXmx0lHwzYsQIUlJSbI+TJ08aHUlERKRI0x0tIiIiIiIiIiI3MHDgQFasWMH69espW7asbXtgYCCZmZkkJyfnuZMkMTGRwMBAW83mzZvz7C8xMdE2du2f17b9scbb2xt3d3ccHR1xdHS8Yc0f93GzLH/m6uqKq6vrbXwTIiIi8nd0R4uIiIiIiIiIyB9YrVYGDhzIsmXLWLduHcHBwXnGQ0NDcXZ2Zu3atbZt+/fv58SJE4SHhwMQHh7Ozp07OXfunK1m9erVeHt7U716dVvNH/dxrebaPlxcXAgNDc1TY7FYWLt2ra3mVrKIiIhIwdIdLSIiInYgNSMbNycHnBx1DYWIiIjceVczc3BwAFcnR6Oj5IsBAwawaNEivv76a7y8vGxrnfj4+ODu7o6Pjw+9evVi6NCh+Pn54e3tzfPPP094eDgNGzYEcteKq169Ol27dmX8+PEkJCQwcuRIBgwYYLubpF+/fkyZMoVhw4bRs2dP1q1bx5IlS1i5cqUty9ChQ+nevTthYWHcf//9TJw4kbS0NJ555hlbpptlERERsXeZ2RayLRaKuRjT8lCjRUREpIg7mXSFXvO20Oiekox+rIbRcUREROQuc86cTu/5sVT29+L9J2tjMpmMjvSvTZ8+HYCmTZvm2f7pp5/So0cPAD788EMcHBxo164dGRkZREZGMm3aNFuto6MjK1asoH///oSHh+Ph4UH37t154403bDXBwcGsXLmSIUOGMGnSJMqWLcvs2bOJjIy01XTo0IHz588zatQoEhISCAkJYdWqVQQEBNhqbpZFRETEnl1MzaB/9FaKF3NmeudQHBzu/LmIyWq1Wu/4uxYyZrMZHx8fUlJS8Pb2NjqOiIjILYs7nkTf+XFcTMvE38uV719oQgnP/JlvW8fHO0fftYiIFFW7TqfQZ34sZ1PSKV7MmRWDmlDG1z1f9q3j452j71pERIqqvWfN9J4Xy+nkq3i6OrF8wAPc6++ZL/u+neOj7mgREREpopZvO82wL3aQmWOhRpA3s7uH5VuTRURERORmftydwAuL47malcM9pTz4pEf9fGuyiIiIiNzMql1nGbpkO1cyc6hYohizu4flW5PldqnRIiIiUsRYLFYmrjnA5HWHAGhRPYAPO4Tg4arDuoiIiBQ8q9XKrF+PMPb7fVit0KRySaY8XQ8fd2ejo4mIiMhdwGKxMnndQSauOQj871ykUz18ihl3LqJfZERERIqQq5k5vLR0Oyt3ngWg30P3MCyyiiHzj4qIiMjdJzPbwuvLd/F57EkAOjcoz+jHauDs6GBwMhEREbkbpGVk89LS7Xy/KwGAng8E8+ojVXEy+FxEjRYREZEi4pw5nT7zY9l+KgVnRxNvP1GLp8LKGR1LRERE7hLJVzLptzCO348k4WCC1x+tTo9GFTGZdMGHiIiIFLyTSVfoMz+WfQmXcXF04K0nahaa30XUaBERESkCdp9Jofe83IVmfYs5M6NLKA0rlTA6loiIiNwljpxPpde8WI5eSMPT1YmPOtWlWVV/o2OJiIjIXWLTkYv0j95KUlomJT1d+bhrPUIr+Bkdy8bQ+2nWr19PmzZtCAoKwmQysXz58r+s7devHyaTiYkTJ+bZnpSUROfOnfH29sbX15devXqRmppasMFFRETuoNV7EnlyRgxnU9KpVMqD5c89kLfJYrXCpplw4nfjQoqIiIjd2nj4Ak9M28jRC2mU8XXni/7harKIiIjIHbNo0wk6z95EUlomNct4883ABwpVkwUMbrSkpaVRp04dpk6d+rd1y5Yt4/fffycoKOi6sc6dO7N7925Wr17NihUrWL9+PX379i2oyCIiIneM1Wpl5vrD9F0Qy5XMHBrfW5Jl/R+gYkmP/y/KzoBvBsL3L8PnXSDtonGBRURExO4s3nyCbnM2k3I1i7rlfVk+4AGqBnobHUtERETuAlk5uWvDvbpsJ9kWK23qBLH02UYE+bobHe06hk4d1qpVK1q1avW3NadPn+b555/nhx9+oHXr1nnG9u7dy6pVq9iyZQthYWEAfPTRRzzyyCO8//77N2zMiIiIFAV/Xmj26QblGfPnhWYvJ8DnXeHUZjA5wAMvQLHCdUWHiIiIFE05Fivjvt/LrF+PAvBYnSDGt6+Nm7OjwclERETkbpCUlslz0blrw5lM8FKLKjzX9J5CuzZcoV6jxWKx0LVrV15++WVq1Khx3XhMTAy+vr62JgtAREQEDg4ObNq0iSeeeOKG+83IyCAjI8P23Gw25394ERGRf+jPC82ObF2dZx7400Kzp+NgcRe4fAbcfKD9J3BvhHGhRURExG6kZWTzwuJ41uxNBGBIxH0Man5vof1hQ0REROzLvgQzfebHcjLpKh4ujkzqWJeI6gFGx/pbhbrR8u677+Lk5MSgQYNuOJ6QkIC/f955YZ2cnPDz8yMhIeEv9zt27FjGjBmTr1lFRETywy0tNLt9MXwzCHIyoGQV6PQZlLjHmMAiIiJiV84kX6XXvFj2njXj4uTA+0/W4bE6mi1CRERE7owfdicw5PN4rmTmUN6vGLO7h3FfgJfRsW6q0DZa4uLimDRpElu3bs33q2ZGjBjB0KFDbc/NZjPlypXL1/cQERG5XRsPXaDfwjjM6dmU8XVnTo+wvHOg52TDmv9CzJTc51UegSc+BjfNky4iIiL/3vaTyfSeH8v5yxmU9HRhZrcw6pUvbnQsERERuQtYrVamrDvEB6sPANDonhJMfboexT1cDE52awpto+XXX3/l3LlzlC9f3rYtJyeHF198kYkTJ3Ls2DECAwM5d+5cntdlZ2eTlJREYGDgX+7b1dUVV1fXAssuIiJyuz7bfILXl+8i22KlbnlfZnYNo5TXH45VV5Lgi55w5Kfc5w8Og6YjwMHhxjsUERERuQ0rd5xl6JJ4MrItVAnwYk6PMMoWL2Z0LBEREbkLXMnM5uWlO1i58ywAPRpVZGTrajg5Fp3fPApto6Vr165EROSdaz4yMpKuXbvyzDPPABAeHk5ycjJxcXGEhoYCsG7dOiwWCw0aNLjjmUVERG5XjsXK2O/2Mvu3v1lo9txe+KwTXDoKzsUgajrUiDImsIiIiNgVq9XK1J8O8f6PuVePNqtSismd6uLl5mxwMhEREbkbnE6+Sp95sew5a8bZ0cSbj9ek4/3lb/7CQsbQRktqaiqHDh2yPT969Cjx8fH4+flRvnx5SpQokafe2dmZwMBAqlSpAkC1atVo2bIlffr0YcaMGWRlZTFw4EA6duxIUJDmkBURkcItNSObFz7bxtp9uXdnDn34Pp7/z58Wmt23Er7qC5mp4FseOi6CwFoGJRYRERF7kpGdwytf7mTZttMA9HwgmNdaV8PRQYvei4iISMHbciyJfgviuJiWSUlPF6Z3CaV+RT+jY/0jhjZaYmNjadasme35tXVTunfvzty5c29pH9HR0QwcOJDmzZvj4OBAu3btmDx5ckHEFRERyTenk6/Sa+4W9iVcxvV/C822+eNCsxYL/Po+/PR27vOKTeDJeeBR4sY7FBEREbkNF1MzeHZBHLHHL+HoYGLMYzXo0rCC0bFERETkLrF48wle/3oXWTlWqpf2Zlb3MMr4uhsd6x8ztNHStGlTrFbrLdcfO3bsum1+fn4sWrQoH1OJiIgUrG0nLtFnfhwXUjMo6enKrG6h1P3jQrMZqbC8P+z9Jvf5/c9C5NvgqCk8RERE5N87mHiZnvO2cDLpKl5uTkzrXI8mlUsZHUtERETuAlk5Ft5euZe5G48B0LpWad57sjbFXArtKie3pGinFxERKWK+2X6Gl5ZuJzPbQtVAL+b0qJ/3io1Lx+Czp+HcbnBwhkcnQL1uhuUVERER+/LLgfMMjN7K5YxsyvsV45Me9bnX39PoWCIiInIXuJSWyYBFW9l4+CIAL7W4jwHN/jSFehGlRouIiMgdYLVambT2IBPXHASgeVV/JnWqi6frHw7FR36BpT3gahJ4+EOHhVC+gTGBRURExO4siDnG6G/3kGOxcn9FP2Z0DcXPw8XoWCIiInIXOJB4md7zYjmRdAUPF0cmdAghskag0bHyjRotIiIiBSw9K4dhX+zgm+1nAOjTJJhXWv1hoVmrFTbPhFUjwJoDQXWhQzT4lDEwtYiIiNiL7BwLb/1hio529cryTtuauDo5GhtMRERE7gpr9iTywuJtpGXmUM7PnVndwqga6G10rHylRouIiEgBOn85g74LYtl2IhknBxNvRtWk0/3l/78gOwNWDoVtC3Of1+4AbSaBc9FdAE5EREQKD3N6Fs8v2sYvB84DMKxlFfo/dI9dTNEhIiIihZvVamXaz4d5/8f9WK0QXqkEUzvXs8s7atVoERERKSD7Esz0mhvL6eSreLs5MaNLKI3uLfn/BZcT4PMucGoLmBzg4TchfADohw8RERHJByeTrtBr3hYOJKbi5uzAxA4htKxZ2uhYIiIiche4mpnDy19sZ8WOswB0C6/A649Wx9nRweBkBUONFhERkQKwbl8izy/KvS02uKQHc7qHUanUHxaaPRUHn3eGy2fBzQfafwr3NjcusIiIiNiVuONJ9J0fx8W0TPy9XJnTvT61yvoYHUtERETuAmeSr9J3QSy7TptxcjDxxuM1ebpB+Zu/sAhTo0VERCQfWa1WPtlwjLdX7sHyv9tip3eph2+xP9wWG/8ZfPsC5GRAqarQcRGUuMe40CIiImJXlm87zbAvdpCZY6FGkDezu4dR2kfTkoqIiEjBizuexLMLtnIhNQM/Dxemd65Hg0oljI5V4NRoERERySdZORb++81uFm06AUDH+uV44/GauDj977bYnGxYPQp+n5r7vEpraPsxuHoZlFhERETsicViZeKaA0xedwiAFtUDmNgxhGIu+tNfRERECt6SLScZuXwXmTkWqgZ6MatbGOX8ihkd647Q2ZaIiEg+SLmSxXOL4thw6CImE7zaqhq9mwT//0KzV5Lgi2fgyM+5zx8cBk1HgIN9zk0qIiIid1Z6Vg4vLt3Oyv/Ng/7sQ5UYHlkVBwet/SYiIiIFKzvHwjvf7eOTDUcBaFUzkPefrIOH693Tfrh7PqmIiEgBOXYhjZ7ztnDkfBrFXByZ1LEuD1cP+P+Cc3vhs45w6Rg4F4Oo6VAjyqi4IiIiYmfOXU6nz/w4tp9MxsnBxDtP1OKp+uWMjiUiIiJ3geQrmTz/2TZ+PXgBgMERlRn0n8p33cUearSIiIj8C78fuUi/hXEkX8kiyMeN2d3rUz3I+/8L9q6AZc9CZir4loeOn0FgTeMCi4iIiF3Zc8ZM73lbOJOSjm8xZ6Z3DiX8HvufB11ERESMd+jcZXrPi+XYxSu4OzvyYYc6tKxZ2uhYhlCjRURE5B9aEnuS15btJCvHSp2yPszqFoa/t1vuoMUC69+Dn9/JfV6xCTw5Dzz0w4eIiIjkj7V7Exn02TbSMnOoVNKDOT3qE1zSw+hYIiIichdYuzeRFxbHk5qRTRlfd2Z1C8t74eldRo0WERGR22SxWHn3h318/MsRAFrXLs0HT9bBzdkxtyAjFZb3g73f5j5v0A9avAWOzgYlFhEREXtitVqZ89tR3v5uL1YrNLqnBNM7h+JTTOcaIiIiUrCsViszfjnC+B/2YbXC/cF+TO9cjxKerkZHM5QaLSIiIrchLSObwZ/Hs3pPIgCDmldmcPM/zD2adBQWd4Zzu8HRBVpPgHpdDUwsIiIi9iQrx8Kor3fz2eYTAHS6vzxvPF4DZ0cHg5OJiIiIvUvPymH4lzv4Ov4MAJ0blOe/bWrg4qTzEDVaREREbtHZlKv0mhvLnrNmXBwdGN++NlF1y/x/wZGfYWkPuHoJPAOgw0Iod79RcUVERMTOpFzJon90HBsPX8RkgtceqUavxsGYTHfXYrMiIiJy551NucqzC+LYcSoFJwcT/32sBl0bVjA6VqGhRouIiMgt2HEqmd7zYjl3OYMSHi7M7BZKaAW/3EGrFTZ9DD+8CtYcCKoHHaPBO8jY0CIiImI3jl1Io+fcLRy5kEYxF0cmd6xLRPUAo2OJiIjIXWDriUs8uyCO85czKF7MmWmdQwm/R2vQ/pEaLSIiIjfx3c6zDF0ST3qWhfsCPJnTvT7l/IrlDmZnwIqhEL8w93ntjtBmEji7GRdYRERE7MrvRy7Sb2EcyVeyCPJxY3b3+nf1YrMiIiJy53wRd4pXv9pJZo6FKgFezO4e9v+/iYiNGi0iIiJ/wWq1MvWnQ7z/4wEAmlYpxUed6uLl9r+FZi8nwOdd4NQWMDnkLnjf8DnQ9B0iIiKST5bEnuS1ZTvJyrFSp5wvs7qF4u+lCzpERESkYGXnWBj3/T5m/3YUgBbVA5jQIQRPV7UUbkSr1IiIiNxARnYOQ5dstzVZnnmgIrO7hf1/k+VUHMxsmttkcfOFLl9C+AA1WURERCRfWCxWxn6/l2Ff7CArx0rr2qX5vG9DNVnukPXr19OmTRuCgoIwmUwsX748z7jJZLrh47333rPVVKxY8brxcePG5dnPjh07aNKkCW5ubpQrV47x48dfl2Xp0qVUrVoVNzc3atWqxXfffZdn3Gq1MmrUKEqXLo27uzsREREcPHgw/74MERG566RcyaLnvFhbk2VQ88rM6BKqJsvfUKNFRETkTy6mZtB51iaWbTuNo4OJN6Nq8t82NXBy/N9hM/4z+LQVXD4LpapCn3Vwz3+MDS0iIiJ240pmNv0WxvHxL0cAGPSfe/moY13cnB0NTnb3SEtLo06dOkydOvWG42fPns3z+OSTTzCZTLRr1y5P3RtvvJGn7vnnn7eNmc1mWrRoQYUKFYiLi+O9995j9OjRzJw501azceNGOnXqRK9evdi2bRtRUVFERUWxa9cuW8348eOZPHkyM2bMYNOmTXh4eBAZGUl6eno+fysiInI3OHw+lSembWD9gfO4OzsyrXM9hj58Hw4OurD076jRIiIi8gcHEi8TNW0Dsccv4eXmxNxn6tO1YYXcwZxsWDUClveDnAyo0hp6r4ES9xgbWv7S6dOn6dKlCyVKlMDd3Z1atWoRGxtrG7+VK0CTkpLo3Lkz3t7e+Pr60qtXL1JTU/PU3MrVqCIiIrciISWdJ2fE8OOeRFwcHZjYIYShLarox407rFWrVrz11ls88cQTNxwPDAzM8/j6669p1qwZlSpVylPn5eWVp87Dw8M2Fh0dTWZmJp988gk1atSgY8eODBo0iAkTJthqJk2aRMuWLXn55ZepVq0ab775JvXq1WPKlClA7rnMxIkTGTlyJI8//ji1a9dm/vz5nDlz5rq7cERERG7mp/3niJqygSMX0ijj684X/cN5pFZpo2MVCWq0iIiI/M8vB87TbtpGTiZdpbxfMZY99wBNKpfKHbySBAvbwu/Tcp8/NBw6LARXL+MCy9+6dOkSDzzwAM7Oznz//ffs2bOHDz74gOLFi9tqbuUK0M6dO7N7925Wr17NihUrWL9+PX379rWN38rVqCIiIrdi56kUHp/6G7vPmCnh4cKiPg2IqlvG6FhyE4mJiaxcuZJevXpdNzZu3DhKlChB3bp1ee+998jOzraNxcTE8OCDD+Li4mLbFhkZyf79+7l06ZKtJiIiIs8+IyMjiYmJAeDo0aMkJCTkqfHx8aFBgwa2mhvJyMjAbDbneYiIyN3LarUyc/1hes7dwuWMbOpXLM7XAx+gRpCP0dGKDE2qJiIiAszbeIwx3+7GYoX7K/oxo2sofh7/+6M3cQ8s7gSXjoGzBzwxHao/bmheubl3332XcuXK8emnn9q2BQcH2/73n68ABZg/fz4BAQEsX76cjh07snfvXlatWsWWLVsICwsD4KOPPuKRRx7h/fffJygoKM/VqC4uLtSoUYP4+HgmTJiQpyEjIiLyd1btOsvgz+NJz7JQ2d+TT3rUp5xfMaNjyS2YN28eXl5etG3bNs/2QYMGUa9ePfz8/Ni4cSMjRozg7NmztjtWEhIS8pybAAQEBNjGihcvTkJCgm3bH2sSEhJsdX983Y1qbmTs2LGMGTPmH3xaERGxN+lZOYz4aifLtp0GoNP95RjzWE1cnHSPxu3QtyUiIne17BwLo77exX+/yW2ytA8ty4Le9/9/k2XvtzA7IrfJ4lseev2oJksR8c033xAWFsaTTz6Jv78/devWZdasWbbxW7kCNCYmBl9fX1uTBSAiIgIHBwc2bdpkq7nZ1ah/pqtIRUTkGqvVyrSfD9Fv4VbSsyw8dF8pvnyukZosRcgnn3xC586dcXNzy7N96NChNG3alNq1a9OvXz8++OADPvroIzIyMgxK+v9GjBhBSkqK7XHy5EmjI4mIiAESzel0mPm7bY3aNx6vwTtP1FKT5R/QNyYiInctc3oWz8zdwvyY45hM8EqrqrzXvjauTo5gscDP78LnXSArDYIfhD4/Q2BNo2PLLTpy5AjTp0+ncuXK/PDDD/Tv359BgwYxb9484NauAE1ISMDf3z/PuJOTE35+fnlqbrSPP77Hn40dOxYfHx/bo1y5cv/y04qISFGUmW3h5S92MH7VfgB6NKrInO5heLs5G5xMbtWvv/7K/v376d27901rGzRoQHZ2NseOHQNy13lJTEzMU3PteWBg4N/W/HH8j6+7Uc2NuLq64u3tnechIiJ3l/iTybT56De2n0zGt5gzC3reT7fwiphMWhfun1CjRURE7konLl6h7bSN/HrwAu7OjkzvHEq/h+7JPaHISIWl3eDnd3KLG/SHLsvAo4SxoeW2WCwW6tWrxzvvvEPdunXp27cvffr0YcaMGUZH01WkIiJCUlomXeZs4ou4U7YrSEc/VgMnR/2ZXpTMmTOH0NBQ6tSpc9Pa+Ph4HBwcbBdxhIeHs379erKysmw1q1evpkqVKrY15cLDw1m7dm2e/axevZrw8HAgd1rUwMDAPDVms5lNmzbZakRERP5s2bZTPPVxDOcuZ3BfgCffDGhMo3tLGh2rSNMaLSIictfZciyJZxfEkZSWSYC3K3O616dmmf8t8JZ0FBY/Def2gKMLPPoh1O1ibGD5R0qXLk316tXzbKtWrRpffvklkPcK0NKlS9tqEhMTCQkJsdWcO3cuzz6ys7NJSkq66ZWmf3yPP3N1dcXV1fUffjIRESnqDp1Lpde8LRy/eAUvVyemdK7HQ/eVMjqW/EFqaiqHDh2yPT969Cjx8fH4+flRvnx5ILehsXTpUj744IPrXh8TE8OmTZto1qwZXl5exMTEMGTIELp06WJrojz99NOMGTOGXr16MXz4cHbt2sWkSZP48MMPbft54YUXeOihh/jggw9o3bo1ixcvJjY2lpkzZwJgMpkYPHgwb731FpUrVyY4OJjXX3+doKAgoqKiCvAbEhGRoijHYmX8qn18vP4IABHVApjYMQRPV7UJ/i19gyIiclf5Mu4UI77aSWaOhVplfJjVLYxAn//Np33kZ1jaA65eAs8A6BAN5eobGVf+hQceeID9+/fn2XbgwAEqVKgA5L0C9Fpj5doVoP379wdyryJNTk4mLi6O0NBQANatW4fFYqFBgwa2mtdee42srCycnXOnevnz1agiIiLX/HbwAv2j47icnk3Z4u580qM+9wV4GR1L/iQ2NpZmzZrZng8dOhSA7t27M3fuXAAWL16M1WqlU6dO173e1dWVxYsXM3r0aDIyMggODmbIkCG2/UDu2nA//vgjAwYMIDQ0lJIlSzJq1Cj69u1rq2nUqBGLFi1i5MiRvPrqq1SuXJnly5dTs+b/T2c7bNgw0tLS6Nu3L8nJyTRu3JhVq1Zdt2aMiIjc3VKuZvHC4m38vP88AAOb3cvQh+/DwUFTheUHk9VqtRodwmhmsxkfHx9SUlI0L6mIiJ2yWKx8sHo/U386DEDLGoF82CEEdxdHsFph0wz44TWw5kCZUOiwELyDDE5trKJ+fNyyZQuNGjVizJgxPPXUU2zevJk+ffowc+ZMOnfuDMC7777LuHHjmDdvnu0K0B07drBnzx7bjxOtWrUiMTGRGTNmkJWVxTPPPENYWBiLFi0CICUlhSpVqtCiRQvb1ag9e/bkww8/zPNDyd8p6t+1iIjcmoW/H+e/3+wmx2IlrEJxPu4aSglP3eH4V3R8vHP0XYuI2Lcj51PpPT+WI+fTcHN24L32dWhT5+7+zeNW3M7xUXe0iIiI3buamcPQJfF8vyt3YfLnmt7DSy2q5F61kZUOK4dCfHRucZ1O8OhEcNYVgEVd/fr1WbZsGSNGjOCNN94gODiYiRMn2poscGtXgEZHRzNw4ECaN2+Og4MD7dq1Y/LkybbxW7kaVURE7m45Fitvr9zLJxuOAvBE3TKMa1cLVydHg5OJiIiIvfvlwHkGLtrK5fRsSvu4Matb2P9Pny75Rne0oCs3RETsWaI5nd7zYtl5OgVnRxPj2tamXWjZ3EHzWfi8C5yOBZMDtHgbGvYHk26bBR0f7yR91yIi9is1I5tBn21j3b7cNb9eanEfA5rdi0nnGzel4+Odo+9aRMT+WK1W5vx2lHe+24vFCqEVijOjSyilvHQ37a3SHS0iIiLArtMp9J4XS4I5neLFnPm4axj3B/vlDp6KhcWdITUB3HzhyblwT7O/252IiIjIbTl16Qq958WyL+Eyrk4OTHgqhNa1SxsdS0REROxcelYOry3bxZdbTwHwVFhZ3oyqqbtpC5AaLSIiYpd+2J3A4MXxXM3K4V5/T+Z0D6NCCY/cwW3RsGIw5GRCqWrQaRH4VTI0r4iIiNiXrScu0Xd+LBdSMynl5cqsbmGElPM1OpaIiIjYuXPmdJ5dGMe2E8k4OpgY2boaPRpV1N20BUyNFhERsStWq5UZvxxh/A/7sFqhSeWSTO1cD283Z8jJhh9HwqbpucVVH4UnZoCrl7GhRURExK58s/0MLy3dTma2hWqlvZnTPYwgX3ejY4mIiIid234ymWcXxJFgTsfH3ZmpT9ejceWSRse6K6jRIiIidiMz28Kry3byRVzurbHdwisw6tHqODk6wJUkWNoDjv6SW/zQK/DQcHBwMC6wiIiI2BWr1cqktQeZuOYgABHV/JnUsS4ervrTW0RERArW1/GnGfbFDjKyLdzr78nsbmFULOlhdKy7hs72RETELiSlZdJvYRybjybhYIL/tqlB90YVcwcT98DiTnDpGDh75N7FUv0xI+OKiIiInUnPymHYFzv4ZvsZAPo0CeaVVtVwdNA0HSIiIlJwcixW3vthPzN+OQzAf6r6M6ljCF5uzgYnu7uo0SIiIkXeoXOp9Jq3heMXr+Dp6sSUp+vStIp/7uDeb+GrZyErDXwrQKfPIKCGsYFFRETErpy/nMGzC2LZeiIZJwcTb0XVpOP95Y2OJSIiInbucnoWLyyOZ92+cwD0b3oPL7Woogs9DKBGi4iIFGm/HbxA/+g4LqdnU7a4O5/0qM99AV5gscD68fDz2NzC4IfgyblQzM/QvCIiImJf9idcpufcLZxOvoq3mxMzuoTS6F7NhS4iIiIF6+iFNPrMj+XQuVRcnRwY3742j4eUMTrWXUuNFhERKbIW/n6c/36zmxyLldAKxZnZNZQSnq6QcRmW9YN9K3ILGz4HD78JjjrsiYiISP75ad85nv9sG6kZ2VQsUYxPetSnUilPo2OJiIiInfv14HkGRG/FnJ5NoLcbM7uFUrusr9Gx7mqGrgC8fv162rRpQ1BQECaTieXLl9vGsrKyGD58OLVq1cLDw4OgoCC6devGmTNn8uwjKSmJzp074+3tja+vL7169SI1NfUOfxIREbmTcixWxny7m5HLd5FjsfJE3TJE926Q22RJOgKzH85tsji6wOPToOVYNVlEREQk31itVj7dcJRe87aQmpFNw0p+LHvuATVZREREpEBZrVY++e0o3T/ZjDk9m7rlfflm4ANqshQChjZa0tLSqFOnDlOnTr1u7MqVK2zdupXXX3+drVu38tVXX7F//34eeyzv4sWdO3dm9+7drF69mhUrVrB+/Xr69u17pz6CiIjcYZfTs+g9bwufbjgGwEst7mPCU3Vwc3aEwz/BzGZwfi94BkKP76BuZ2MDi4iIiF3JyrHw+te7GPPtHixWeCqsLPN7NqC4h4vR0URERMSOZWTnMPzLHbyxIvccpH1oWT7r0xB/bzejowkGTx3WqlUrWrVqdcMxHx8fVq9enWfblClTuP/++zlx4gTly5dn7969rFq1ii1bthAWFgbARx99xCOPPML7779PUFBQgX8GERG5c04mXaH3vFj2J17GzdmBCU+F8Eit0mC1Qsw0+PE1sFqgTCh0iAbv0kZHFhERETuScjWLgYu28uvBC5hMMKJVVfo0qYTJpAVnRUREpOCcu5xO/4VbiTt+CQcTvPpINXo1DtY5SCFSpOZRSUlJwWQy4evrC0BMTAy+vr62JgtAREQEDg4ObNq0iSeeeOKG+8nIyCAjI8P23Gw2F2huERH59+KOX6Lv/FgupmVSysuV2d3CqFPOF7LSYcUQ2L4ot7DO0/Doh+CsKzpEREQk/5y4eIWe87Zw6Fwq7s6OTOwYQmSNQKNjiYiIiJ3bdTqFPvNjOZuSjrebE1OerseD95UyOpb8SZFptKSnpzN8+HA6deqEt7c3AAkJCfj7++epc3Jyws/Pj4SEhL/c19ixYxkzZkyB5hURkfzzdfxpXv5iB5nZFqqX9mZ29zCCfN3BfBY+7wyn48DkCJFvQ4N+oCs6REREJB9tPprEswtiuXQli0BvN2Z3D6NmGR+jY4mIiIid+3b7GV7+YjvpWRYqlfJgdrcwrQlXSBWJRktWVhZPPfUUVquV6dOn/+v9jRgxgqFDh9qem81mypUr96/3KyIi+ctisTJxzQEmrzsEwMPVA5jYIQQPVyc4uQU+7wKpCeDmC0/OhXuaGZpXRERE7M+Xcad45asdZOVYqV3Wh1ndwgjQXOgiIiJSgCwWKx+s3s/Unw4D0KxKKSZ1qou3m7PByeSvFPpGy7Umy/Hjx1m3bp3tbhaAwMBAzp07l6c+OzubpKQkAgP/+hZuV1dXXF1dCyyziIj8e+lZOby4dDsrd5wF4NmHKjE8sioODibYtjB3urCcTChVDTotAr9KBicWERERe/LnHzha1QxkwlMhuLs4GpxMRERE7Nnl9CyGfB7Pmr25v3s/+1AlhkVWxdFBs3cUZoW60XKtyXLw4EF++uknSpQokWc8PDyc5ORk4uLiCA0NBWDdunVYLBYaNGhgRGQREckH5y6n02d+HNtPJuPkYOKdJ2rxVP1ykJMN34+ETf+7u7Hqo/DEDHD1MjawiIiI2JWrmTkMXRLP97typ6Qe0OweXny4Su4FHyIiIiIF5PjFNHrPi+XguVRcnBx4t10tnqhb1uhYcgsMbbSkpqZy6NAh2/OjR48SHx+Pn58fpUuXpn379mzdupUVK1aQk5NjW3fFz88PFxcXqlWrRsuWLenTpw8zZswgKyuLgQMH0rFjR4KCgoz6WCIi8i/sOWOm97wtnElJx7eYM9M7hxJ+Twm4kgRLu8PR9bmFTUfAg8PAwcHYwCIiImJXEs3p9Jkfy45TKTg7mhjXtjbtQvUDh4iIiBSsDYcu8Fz0VlKuZhHg7crHXcMIKedrdCy5RYY2WmJjY2nW7P/n07+2bkr37t0ZPXo033zzDQAhISF5XvfTTz/RtGlTAKKjoxk4cCDNmzfHwcGBdu3aMXny5DuSX0RE8teaPYkMWryNK5k5VCrpwZwe9Qku6QGJu+GzTpB8HJw9oO3HUK2N0XFFRETEzuw6nULvebEkmNMpXsyZj7uGcX+wn9GxRERExI5ZrVbmbTzGmyv3kmOxUqecLzO7hmpNuCLG0EZL06ZNsVqtfzn+d2PX+Pn5sWjRovyMJSIid5jVamX2r0d55/u9WK3Q6J4STO8cik8xZ9jzDSzrB1lpULwidFwEATWMjiwiIiJ25sfdCbywOJ6rWTncU8qDT3rUp0IJD6NjiYiIiB3LzLYw6utdLN5yEoC2dcvwTttauDlrTbiiplCv0SIiIvbvzycVne4vzxuP18DZBPw0Fn4Zl1tYqSm0/xSK6apSERERyT9Wq5VZvx5h7Pf7sFqhSeWSTHm6Hj7uzkZHExERETt2ITWD/gvj2HLsEg4mGNGqGr2bBGMyaU24okiNFhERMUzylUz6L9xKzJGLOJjgtdbV6flARUyZqbl3sexbkVvY8Dl4+E1w1GFLRERE8k9mtoXXl+/i89jcCz66NCzP6DY1cHLUGnAiIiJScHafSaHPvFjOpKTj5ebE5E51aVbF3+hY8i/oFysRETHEkfOp9JoXy9ELaXi4OPLR03X5T9UASDoCnz0N5/eCows8OhHqdjY6roiIiNiZ5CuZ9FsYx+9HknAwwahHq9O9UUVdRSoiIiIFauWOs7y4NJ70LAuVSnowq3sY95TyNDqW/EtqtIiIyB238fAF+i/cSsrVLMr4ujO7exjVSnvD4XWw9BlITwbPQOgYDWXDjI4rIiIiduaPF3x4ujrxUae6NKuqq0hFRESk4FgsViauOcDkdYcAePC+UnzUqa6mK7UTarSIiMgdtXjzCUYu30W2xUrd8r7M7BpGKU8XiJkKP44EqwXKhEGHheBd2ui4IiIiYmf+fMHHnB5hVA30NjqWiIiI2LHUjGyGfh7Pj3sSAejTJJhXWlXD0UF30toLNVpEROSOyLFYGff9Xmb9ehSANnWCeK99bdzIguX9YftnuYUhnaH1BHB2MzCtiIiI2KMbXvDh5Wp0LBEREbFjJ5Ou0HteLPsTL+Pi6MDYtrVoF1rW6FiSz9RoERGRApeWkc0Li7exZu85AAZHVOaF5pUxXT4Ln3eB03FgcoTId6DBs6C50UVERCQf/fmCj8fqBDG+fW3cnB0NTiYiIiL2bOPhCwyI3sqlK1mU8nLl466h1Ctf3OhYUgDUaBERkQJ1OvkqvefFsvesGRcnB95/sg6P1QmCk1tymyypCeBeHJ6cC5WaGh1XRERE7EzuBR/xrNmbO1XHkIj7GNT8Xi16LyIiIgVqQcwxRn+7hxyLldplfZjZNYxAH83eYa/UaBERkQKz7cQl+syP40JqBiU9XZnZ7X9XbmxbCCuGQE4m+FeHjovAL9jouCIiImJnziRfpdeNLvgQERERKSCZ2RZGf7ubRZtOAPB4SBDvttOdtPZOjRYRESkQK3ac4cUl28nItlA10IvZ3cMo6+0M3w+HTTNyi6o+Ck98DK6exoYVERERu7P9ZDK958dy/nIGJT1dmNktTFN1iIiISIG6mJpB/+itbD6ahMkEw1tW5dkHK+lO2ruAGi0iIpKvrFYrH607xITVBwD4T1V/Jneqi2eOGRZ2gKPrcwubvgoPvgwODgamFREREXu0csdZhi6Jz3vBR/FiRscSERERO7bnjJk+82M5nXwVT1cnJncK4T9VA4yOJXeIGi0iIpJv0rNyGP7lDr6OPwNA78bBjHikGo7n98BnnSD5OLh45t7FUu1Rg9OKiIiIvbFarUz96RDv//inCz5c9aeviIiIFJzvd55l6JLtXM3KoWKJYszuHsa9/l5Gx5I7SJcRi4hIvjh/OYOnZ/3O1/FncHIw8c4TtRj5aHUc930Dsx/ObbIUrwi9VqvJIiIiIvkuIzuHoUu225osvRoHM6tbmJos8o+sX7+eNm3aEBQUhMlkYvny5XnGe/TogclkyvNo2bJlnpqkpCQ6d+6Mt7c3vr6+9OrVi9TU1Dw1O3bsoEmTJri5uVGuXDnGjx9/XZalS5dStWpV3NzcqFWrFt99912ecavVyqhRoyhdujTu7u5ERERw8ODB/PkiRETkb1ksVj5cfYD+0Vu5mpVDk8ol+XpAYzVZ7kJqtIiIyL+2P+EyUVM3sPVEMt5uTszreT9P1y8LP70DS7pBVhpUagp9foKA6kbHFRERETtzMTWDzrM2sWzbaRwdTLwVVZPXH62Oo4PmQ5d/Ji0tjTp16jB16tS/rGnZsiVnz561PT777LM84507d2b37t2sXr2aFStWsH79evr27WsbN5vNtGjRggoVKhAXF8d7773H6NGjmTlzpq1m48aNdOrUiV69erFt2zaioqKIiopi165dtprx48czefJkZsyYwaZNm/Dw8CAyMpL09PR8/EZEROTP0jKyeS56K5PW5ja3ez4QzKc96uNTzNngZGIEk9VqtRodwmhmsxkfHx9SUlLw9vY2Oo6ISJHy075zPP/ZNlIzsqlYohhzetTnHm8rfPUs7F+ZW9RwADz8BjjqitKiRMfHO0fftYjIP3cw8TI9523hZNJVvNycmN45lMaVSxodS/JBYTk+mkwmli1bRlRUlG1bjx49SE5Ovu5Ol2v27t1L9erV2bJlC2FhYQCsWrWKRx55hFOnThEUFMT06dN57bXXSEhIwMXFBYBXXnmF5cuXs2/fPgA6dOhAWloaK1assO27YcOGhISEMGPGDKxWK0FBQbz44ou89NJLAKSkpBAQEMDcuXPp2LHjLX3GwvJdi4gUFSeTrtBnfiz7Ei7j4ujAW0/U5KmwckbHknx2O8dH3dEiIiL/iNVq5ZPfjtJr3hZSM7JpEOzHsuce4B6HRJgdkdtkcXSFqOnQ8h01WURERCTf/XLgPG2nbeRk0lUqlCjGsuceUJNF7piff/4Zf39/qlSpQv/+/bl48aJtLCYmBl9fX1uTBSAiIgIHBwc2bdpkq3nwwQdtTRaAyMhI9u/fz6VLl2w1ERERed43MjKSmJgYAI4ePUpCQkKeGh8fHxo0aGCruZGMjAzMZnOeh4iI3Jrfj1zk8akb2JdwmZKernzWt4GaLIJ+9RIRkduWlWNh9De7id50AoCnwsryVlQtXI79BF88A+kp4BkIHaOhbNhN9iYiIiJy++bHHGPMt3vIsVi5v6IfM7qG4ufhcvMXiuSDli1b0rZtW4KDgzl8+DCvvvoqrVq1IiYmBkdHRxISEvD398/zGicnJ/z8/EhISAAgISGB4ODgPDUBAQG2seLFi5OQkGDb9seaP+7jj6+7Uc2NjB07ljFjxvyDTy4icneL3nSc/369m2yLlVplfPi4ayhBvu5Gx5JCQI0WERG5LSlXsxgQvZXfDl3AZIIRrarSp3Ewpk3T4ceRYLVA2frw1ALwLm10XBEREbEz2TkW3lyxh3kxxwFoV68s77StiauTo8HJ5G7yxym5atWqRe3atbnnnnv4+eefad68uYHJbs2IESMYOnSo7bnZbKZcOV2NLSLyV7JyLIz5djcLf8+94LRNnSDGt6uNu4vOPySXGi0iInLLjl1Io9e8LRw+n0YxF0cmdazLw5V94OvnYPv/Fv8M6QKPTgAnV2PDioiIiN0xp2fx/KJt/HLgPADDW1al30OVMJm06L0Yq1KlSpQsWZJDhw7RvHlzAgMDOXfuXJ6a7OxskpKSCAwMBCAwMJDExMQ8Ndee36zmj+PXtpUuXTpPTUhIyF/mdXV1xdVV5+siIrciKS2T56Lj+P1IEiYTvNSiCs81vUfnH5KH1mgREZFbsunIRaKmbeDw+TRK+7ixtF84D5fNgU9b5TZZTI7Qajw8PkVNFhEREcl3J5Ou0H76Rn45cB43ZwdmdKlHf/3IIYXEqVOnuHjxoq3ZER4eTnJyMnFxcbaadevWYbFYaNCgga1m/fr1ZGVl2WpWr15NlSpVKF68uK1m7dq1ed5r9erVhIeHAxAcHExgYGCeGrPZzKZNm2w1IiLyz+1LMPPYlN/4/UgSHi6OzOoaxoBm9+r8Q66jO1pEROSmlsae5NVlO8nKsVKnrA+zuoXhn7IDZnaB1ERwLw5PzoNKDxkdVUREROxQ3PEk+s6P42JaJgHerszuVp9aZX2MjiV2LDU1lUOHDtmeHz16lPj4ePz8/PDz82PMmDG0a9eOwMBADh8+zLBhw7j33nuJjIwEoFq1arRs2ZI+ffowY8YMsrKyGDhwIB07diQoKAiAp59+mjFjxtCrVy+GDx/Orl27mDRpEh9++KHtfV944QUeeughPvjgA1q3bs3ixYuJjY1l5syZAJhMJgYPHsxbb71F5cqVCQ4O5vXXXycoKIioqKg794WJiNihH3YnMOTzeK5k5lChRDFmdQvjvgAvo2NJIaVGi4iI/CWLxcr4H/Yz45fDALSuVZr3n6yD+65FsHIo5GSCf43cRe/9gm+yNxEREZHbt3zbaYZ9sYPMHAs1gryZ070+gT5uRscSOxcbG0uzZs1sz6+tZ9K9e3emT5/Ojh07mDdvHsnJyQQFBdGiRQvefPPNPNNxRUdHM3DgQJo3b46DgwPt2rVj8uTJtnEfHx9+/PFHBgwYQGhoKCVLlmTUqFH07dvXVtOoUSMWLVrEyJEjefXVV6lcuTLLly+nZs2atpphw4aRlpZG3759SU5OpnHjxqxatQo3N/3/RETkn7BarXy07hATVh8A4IF7SzD16Xr4FnMxOJkUZiar1Wo1OoTRzGYzPj4+pKSk4O3tbXQcEZFC4UpmNoMXx/Pjntw5oZ//z70MaRaMw+qRsPnj3KJqbSBqBrh6GphUCoqOj3eOvmsRketZLFYmrjnA5HW5dxW0qB7AxI4hFHPR9YJ3Cx0f7xx91yIiua5kZvPy0h2s3HkWgB6NKjKydTWcHLUCx93odo6P+jdERESuk5CSzpMzYvhxTyIujg582KEOLz5QEofotv/fZGn2Gjw5X00WKbRGjx6NyWTK86hataptPD09nQEDBlCiRAk8PT1p167ddYvNnjhxgtatW1OsWDH8/f15+eWXyc7OzlPz888/U69ePVxdXbn33nuZO3funfh4IiJ2LT0rh+cXb7M1Wfo9dA8zuoSqySIiIiIF5tSlK7SfHsPKnWdxdjQxrm0tRj9WQ00WuSU6SxURkTx2nEqm97xYzl3OoISHCx93DSXM7QzMagXJJ8DFE9rOhKqtjY4qclM1atRgzZo1tudOTv9/6jNkyBBWrlzJ0qVL8fHxYeDAgbRt25YNGzYAkJOTQ+vWrQkMDGTjxo2cPXuWbt264ezszDvvvAPkztfeunVr+vXrR3R0NGvXrqV3796ULl3aNke7iIjcnnOX0+kzP47tJ5NxdjTx9hO1eCqsnNGxRERExI5tOZZEvwW568GV9HRhepdQ6lf0MzqWFCFqtIiIiM33O88yZEk86VkW7gvwZE73+pRLWA3R/SDrChQPhk6fgX81o6OK3BInJycCAwOv256SksKcOXNYtGgR//nPfwD49NNPqVatGr///jsNGzbkxx9/ZM+ePaxZs4aAgABCQkJ48803GT58OKNHj8bFxYUZM2YQHBzMBx98AOQufPvbb7/x4Ycf/m2jJSMjg4yMDNtzs9mcz59cRKRo2nPGTO95WziTko5vMWdmdAmlYaUSRscSERERO/bZ5hOM+noXWTlWqpf2Zlb3MMr4uhsdS4oY3fckIiJYrVam/nSI/tFbSc+y8NB9pfiyX0PKxX8IS7rlNlkqNYM+69RkkSLl4MGDBAUFUalSJTp37syJEycAiIuLIysri4iICFtt1apVKV++PDExMQDExMRQq1YtAgICbDWRkZGYzWZ2795tq/njPq7VXNvHXxk7diw+Pj62R7lyulJbRGTt3kSenLGRMynpVCrlwfLnHlCTRURERApMVo6F/369ixFf7SQrx0rrWqX5on+4mizyj+iOFhGRu1xGdg4jvtrJV1tPA/9b6C2iDE7Le8D+73KLwgdCxBhw1GFDio4GDRowd+5cqlSpwtmzZxkzZgxNmjRh165dJCQk4OLigq+vb57XBAQEkJCQAEBCQkKeJsu18Wtjf1djNpu5evUq7u43PkEfMWIEQ4cOtT03m81qtojIXctqtTLnt6O8/d1erFZ44N4STHs6FJ9izkZHExERETt1KS2TAYu2svHwRQBeanEfA5rdi8lkMjiZFFX6xUxE5C52MTWDfgvj2HLsEo4OJka3qU7X+3Lg00g4vw8cXaHNJAjpZHRUkdvWqlUr2/+uXbs2DRo0oEKFCixZsuQvGyB3iqurK66uroZmEBEpDLJyLIz6ejefbc6947DT/eV54/EaOGvRWRERESkg+xMu02d+LCeSruDh4siEDiFE1rh+ymmR26FGi4jIXepg4mV6ztvCyaSreLk6MbVzPR502AGznoH0FPAqDR2ioWyo0VFF8oWvry/33Xcfhw4d4uGHHyYzM5Pk5OQ8d7UkJiba1nQJDAxk8+bNefaRmJhoG7v2z2vb/ljj7e1teDNHRKSwS7mSRf/oODYevojJBK89Uo1ejYN1JamIiIgUmNV7Ehm8eBtpmTmU83NnVrcwqgZ6Gx1L7IAuExIRuQv9cuA8badt5GTSVcr7FeOr/uE8eOFziG6f22QpWx/6/qwmi9iV1NRUDh8+TOnSpQkNDcXZ2Zm1a9faxvfv38+JEycIDw8HIDw8nJ07d3Lu3DlbzerVq/H29qZ69eq2mj/u41rNtX2IiMiNHbuQxhPTNrDx8EU8XByZ3S2M3k0qqckiIiIiBcJqtTJl3UH6LoglLTOH8Eol+HpAYzVZJN/ojhYRkbvM/JhjjPl2DzkWK/dX9GNGx+r4rXsZdizOLajbBVpPACdNayRF20svvUSbNm2oUKECZ86c4b///S+Ojo506tQJHx8fevXqxdChQ/Hz88Pb25vnn3+e8PBwGjZsCECLFi2oXr06Xbt2Zfz48SQkJDBy5EgGDBhgm/arX79+TJkyhWHDhtGzZ0/WrVvHkiVLWLlypZEfXUSkUPv9yEX6LYwj+UoWQT5uzOlRn2ql9SOHiIiIFIyrmTm8/MV2Vuw4C0C38Aq8/mh1TVUq+UqNFhGRu0R2joU3V+xhXsxxANrVK8s7EX64LomCM1vB5Agtx8H9fUBXk4odOHXqFJ06deLixYuUKlWKxo0b8/vvv1OqVCkAPvzwQxwcHGjXrh0ZGRlERkYybdo02+sdHR1ZsWIF/fv3Jzw8HA8PD7p3784bb7xhqwkODmblypUMGTKESZMmUbZsWWbPnk1kZOQd/7wiIkXBktiTvLZsJ1k5VuqU82VWt1D8vdyMjiUiIiJ26kzyVfouiGXXaTNODibeeLwmTzcob3QssUMmq9VqNTqE0cxmMz4+PqSkpODtrSupRMT+mNOzGLhoG+sPnAdgWMsq9K90AdOSbpCaCO5+8ORcqPSQsUGlUNHx8c7Rdy0i9s5isfLuD/v4+JcjALSuXZoPnqyDm7OjwcmkMNPx8c7Rdy0i9ijueBLPLojjQmomfh4uTO9cjwaVShgdS4qQ2zk+6o4WERE7dzLpCj3nbuHguVTcnB2Y2CGElpmrYe5QsGSBfw3otAiKVzQ6qoiIiNihK5nZDF4cz497EgEY1Lwyg5tXxsFBd9CKiIhIwViy5SSvLc+9i7ZqoBezuoVRzq+Y0bHEjqnRIiJix7Ycy716IyktkwBvV2Z3CaHWrndh88zcgmqPQdR0cPU0NqiIiIjYpYSUdHrN28LuM2ZcHB0Y3742UXXLGB1LRERE7FR2joW3v9vLpxuOAdCqZiDvP1kHD1f9DC4FS/+GiYjYqa+2nuKVL3eSmWOhZhlv5jxZiYBVPeDYr7kFzV6DJi+BgxZ/ExERkfy381QKvedvIdGcQQkPF2Z2CyW0gp/RsURERMROJV/JZOCibfx26AIAgyMqM+g/uotW7gw1WkRE7IzFYmXC6gNM+ekQAJE1ApjY1An3xS0h+QS4eELbmVC1tcFJRURExF6t2nWWwZ/Hk55l4b4AT+Z0r6/pOkRERKTAHEy8TO/5sRy/eIViLo5MeKoOLWuWNjqW3EXUaBERsSNXM3N4cWk83+1MAOC5pvfwUtl9OMzvD1lXoHgwdPoM/KsZnFRERETskdVqZfovhxm/aj8AD91XiilP18XLzdngZCIiImKv1u5N5IXF8aRmZFPG153Z3cOoVvrvFy4XyW+Gzhezfv162rRpQ1BQECaTieXLl+cZt1qtjBo1itKlS+Pu7k5ERAQHDx7MU5OUlETnzp3x9vbG19eXXr16kZqaegc/hYhI4XDOnE6HmTF8tzMBZ0cT77evxTCXL3D4ontuk6VSM+izTk0WERERKRAZ2Tm8tHSHrcnSo1FF5nQPU5NFRERECoTVamX6z4fpPT+W1IxsGgT78c3AB9RkEUMY2mhJS0ujTp06TJ069Ybj48ePZ/LkycyYMYNNmzbh4eFBZGQk6enptprOnTuze/duVq9ezYoVK1i/fj19+/a9Ux9BRKRQ2HU6hcenbmDHqRSKF3Pms67VaX9gGKx/L7cgfCB0/gKKaV50ERERyX9JaZl0nb2ZL7eewtHBxJuP12D0YzVwctRacCIiIpL/0rNyGPx5PO+u2ofVCp0blGdh7waU8HQ1OprcpQydOqxVq1a0atXqhmNWq5WJEycycuRIHn/8cQDmz59PQEAAy5cvp2PHjuzdu5dVq1axZcsWwsLCAPjoo4945JFHeP/99wkKCrrhvjMyMsjIyLA9N5vN+fzJRETunB92JzB4cTxXs3K4p5QH86NKUOb7p+DCfnB0hccmQ52ORscUERERO3XoXCq95m3h+MUreLk6MaVzPR66r5TRsURERMROnU25St/5cew8nYKTg4n/PlaDrg0rGB1L7nKF9vKio0ePkpCQQEREhG2bj48PDRo0ICYmBoCYmBh8fX1tTRaAiIgIHBwc2LRp01/ue+zYsfj4+Nge5cqVK7gPIiJSQKxWKzN+OUy/hXFczcqhSeWSfNMygzJLW+c2WbyCoOf3arKIiIhIgfnt4AWemLaB4xevUM7Pna+ea6Qmi4iIiBSYrScu8diUDew8nTujx4JeDdRkkUKh0DZaEhJyF3IOCAjIsz0gIMA2lpCQgL+/f55xJycn/Pz8bDU3MmLECFJSUmyPkydP5nN6EZGClZltYdgXOxj3fe4tsl0alGNulU14fNER0lOg7P3Q92coE2p0VBEREbFTC38/TvdPN3M5PZuwCsVZ/twDVA7wMjqWiIiI2Kkv4k7R8ePfOX85g6qBXnwzsDHh95QwOpYIYPDUYUZxdXXF1VXz9YlI0XQpLZN+C+PYdDQJBxOMaVWJLhcmYFqzJLegbldo/QE46b9zIiIikv9yLFbeXrmXTzYcBaBt3TKMbVcLVydHg5OJiIiIPcrOsTDu+33M/i333COyRgATngrBw/Wu/GlbCqlC+29jYGAgAImJiZQuXdq2PTExkZCQEFvNuXPn8rwuOzubpKQk2+tFROzJH+dA93R1YmZUII229Icz28DkCC3Hwf19wGQyOqqIiIjYodSMbAZ9to11+3L/Dns5sgrPNb0Hk849REREpACkXMli4Gdb+fXgBQAGNa/M4OaVcXDQuYcULoV26rDg4GACAwNZu3atbZvZbGbTpk2Eh4cDEB4eTnJyMnFxcbaadevWYbFYaNCgwR3PLCJSkDYcukDb/82BXra4O99FOdNoTfvcJou7H3RbDg36qskiIiIiBeLUpSu0n76RdfvO4erkwLTO9RjQ7F41WURERKRAHDqXStS0Dfx68ALuzo5M61yPoQ/fpyaLFEqG3tGSmprKoUOHbM+PHj1KfHw8fn5+lC9fnsGDB/PWW29RuXJlgoODef311wkKCiIqKgqAatWq0bJlS/r06cOMGTPIyspi4MCBdOzYkaCgIIM+lYhI/ovedJxRX+8mx2IltEJx5tbZi9e3w8GSBQE1oWM0FK9odEwRERGxU1tPXKLv/FgupGZSysuV2d3CqFPO1+hYIiIiYqd+2neOQZ9t43JGNmV83ZnZLZQaQT5GxxL5S4Y2WmJjY2nWrJnt+dChQwHo3r07c+fOZdiwYaSlpdG3b1+Sk5Np3Lgxq1atws3Nzfaa6OhoBg4cSPPmzXFwcKBdu3ZMnjz5jn8WEZGCcN0c6HX8Ge+5GKcfZ+cWVH8cHp8Grp4GphQRERF79s32M7y0dDuZ2RaqlfZmTvcwgnzdjY4lIiIidshqtTJz/RHGrdqH1Qr1KxZnepdQSnpqHVop3ExWq9VqdAijmc1mfHx8SElJwdvb2+g4IiIAXE7P4oXF8bY50F97qBS9E8dgOvZbbsF/RkKTlzRVmBQYHR/vHH3XIlIYWa1WJq09yMQ1BwGIqBbApI5aeFbuHB0f7xx91yJSGKRn5TDiq50s23YagE73l2PMYzVxcSq0q1+Inbud46POkEVECqFTl67Qa24s+xMv4+rkwMwWrjwU1wtSToCLF7SdCVUfMTqmiIiI2Kn0rByGfbGDb7afAaDvg5UY3rIqjpoTXURERApAQko6zy6IZfupFBwdTPy3TXW6NqygteCkyFCjRUSkkPnzHOhLmiQS/OtLkHUF/CpBx8/Av6rRMUVERMROnb+cQd8FsWw7kYyTg4m3omrS8f7yRscSERERO7XtxCWeXRDHucsZ+BZzZtrT9Wh0b0mjY4ncFjVaREQKka/jT/PyFzvIzLZQPdCTz+9bh9e6ibmD9/wH2n8C7sUNzSgiIiL2a3/CZXrO3cLp5Kv4uDszvUs9Gt2jHzpERESkYHy19RSvfLWTzGwL9wV4MrtbfcqXKGZ0LJHbpkaLiEghYLVambjmIJPW5s6B/mgVTyY6T8Np86rcgkbPQ/PR4Kj/bIuIiEjB+GnfOZ7/bBupGdkEl/RgTvcwKpXyNDqWiIiI2KEci5V3V+1j5vojQO5acBM7huCpteCkiNK/uSIiBkvPyuHlL3bw7f/mQB9+vxP9zryM6cJ+cHSFxz6COh0MTikiIiL2ymq1MnfjMd5csQeLFRpW8mNGl1B8i7kYHU1ERETsUMrVLAZ9to1fDpwHYGCzexn68H04aC04KcLUaBERMdC5y+n0nR9H/MncOdDnNE7hoR3DIT0FvIKgYzSUqWd0TBEREbFTWTkWxny7m4W/nwCgQ1g53oyqiYuTg8HJRERExB4dOZ9K7/mxHDmfhpuzA++1r0ObOkFGxxL519RoERExyN6zZnrN3cKZlHR83Jz4ut42Km55F6wWKNcAnloAXgFGxxQRERE7lXI1i4GLtvLrwQuYTPBqq2r0bhKMyaSrSUVERCT//XLgPAMXbeVyejalfdyY1S2MmmV8jI4lki90mZKIiAHW7k2k/fSNnElJp2oJJzbct5iKW8fmNlnqdoXu36rJIiIiIgXmxMUrtJu+kV8PXsDd2ZGPu4TS58FKarKI/M/69etp06YNQUFBmEwmli9fbhvLyspi+PDh1KpVCw8PD4KCgujWrRtnzpzJs4+KFStiMpnyPMaNG5enZseOHTRp0gQ3NzfKlSvH+PHjr8uydOlSqlatipubG7Vq1eK7777LM261Whk1ahSlS5fG3d2diIgIDh48mH9fhojIv2S1Wpn96xGe+XQzl9OzCa1QnG8GNlaTReyKGi0iInfQtZOL3vNjScvM4dEKOazwfBvPA1+ByREeeT93TRYnV6OjioiIiJ3afDSJx6f+xqFzqQR6u7G0XzgtagQaHUukUElLS6NOnTpMnTr1urErV66wdetWXn/9dbZu3cpXX33F/v37eeyxx66rfeONNzh79qzt8fzzz9vGzGYzLVq0oEKFCsTFxfHee+8xevRoZs6caavZuHEjnTp1olevXmzbto2oqCiioqLYtWuXrWb8+PFMnjyZGTNmsGnTJjw8PIiMjCQ9PT2fvxURkduXnpXDS0t38NbKvVis8FRYWRb1aUApL/3uIfbFZLVarUaHMJrZbMbHx4eUlBS8vb2NjiMidiorx8Kor3fx2eaTALxSI5lnE/6LKe08uPvBU/MhuInBKUX+n46Pd46+axG5U76MO8UrX+0gK8dK7bI+zOoWRoC3m9GxRG6osBwfTSYTy5YtIyoq6i9rtmzZwv3338/x48cpX748kHtHy+DBgxk8ePANXzN9+nRee+01EhIScHFxAeCVV15h+fLl7Nu3D4AOHTqQlpbGihUrbK9r2LAhISEhzJgxA6vVSlBQEC+++CIvvfQSACkpKQQEBDB37lw6dux4S5+xsHzXImJfzpnT6bsgd11aRwcTI1tXo0ejirqDVoqM2zk+6o4WEZE7IOVKFt0/2cxnm09iMsGCkL08e/SF3CZLQE3o+7OaLCIiIlJgLBYr7/2wjxeXbicrx8ojtQL5vG+4miwi+SQlJQWTyYSvr2+e7ePGjaNEiRLUrVuX9957j+zsbNtYTEwMDz74oK3JAhAZGcn+/fu5dOmSrSYiIiLPPiMjI4mJiQHg6NGjJCQk5Knx8fGhQYMGtpobycjIwGw253mIiOSn7SeTaTPlN+JPJuPj7sy8Z+7nmQe0FpzYLyejA4iI2LujF9LoNXcLRy6k4eNiZcV931FuX3TuYPUoiJoGLh6GZhQRERH7dTUzh6FL4vl+VwIAA5vdy9CH78PBQT90iOSH9PR0hg8fTqdOnfJc7Tpo0CDq1auHn58fGzduZMSIEZw9e5YJEyYAkJCQQHBwcJ59BQQE2MaKFy9OQkKCbdsfaxISEmx1f3zdjWpuZOzYsYwZM+YffmIRkb/3dfxphn2xg4xsC/f6ezK7WxgVS+p3D7FvarSIiBSgmMMX6bcwjpSrWdTwyWSJ3ww8Dv0OmOA/I6HJi6CrOURERKSAJJrT6TM/lh2nUnBxdGBcu1q0rVfW6FgidiMrK4unnnoKq9XK9OnT84wNHTrU9r9r166Ni4sLzz77LGPHjsXV1di1CUaMGJEnn9lsply5cgYmEhF7kGOxMv6HfXz8yxEAmlf1Z2LHELzcnA1OJlLw1GgRESkgn285wWvLdpFtsfJE6Yu8nzMex7MnwcUL2s2CKq2MjigiIiJ2bNfpFHrPiyXBnI6fhwsfdw2lfkU/o2OJ2I1rTZbjx4+zbt26m87d3qBBA7Kzszl27BhVqlQhMDCQxMTEPDXXngcGBtr+eaOaP45f21a6dOk8NSEhIX+ZxdXV1fBmj4jYF3N6Fi98to2f9p8H4Lmm9/Biiyo46g5auUtojRYRkXyWY7Hyznd7Gf7lTrItVl4P3seE1OE4mk+CXyXos1ZNFhERESlQP+5O4MkZMSSY07nX35Plzz2gJotIPrrWZDl48CBr1qyhRIkSN31NfHw8Dg4O+Pv7AxAeHs769evJysqy1axevZoqVapQvHhxW83atWvz7Gf16tWEh4cDEBwcTGBgYJ4as9nMpk2bbDUiIgXt6IU0npi6gZ/2n8fVyYFJHUMY1rKqmixyV9EdLSIi+SgtI5sXFsezZm8iJiwsvnctDU59mjt4T3NoPwfcixsbUkREROyW1Wpl5vojjFu1D6sVmlQuyZSn6+Hjrik7RG5Hamoqhw4dsj0/evQo8fHx+Pn5Ubp0adq3b8/WrVtZsWIFOTk5tvVQ/Pz8cHFxISYmhk2bNtGsWTO8vLyIiYlhyJAhdOnSxdZEefrppxkzZgy9evVi+PDh7Nq1i0mTJvHhhx/a3veFF17goYce4oMPPqB169YsXryY2NhYZs6cCYDJZGLw4MG89dZbVK5cmeDgYF5//XWCgoKIioq6c1+YiNy1fj14ngHRWzGnZxPo7cbMbqHULutrdCyRO06NFhGRfHIm+Sq95sWy96wZP6d0viszn8BTP+cONhoEEaPBwdHIiCIiImLHMrMtjFy+kyWxpwDo2rAC/21THSdHTWQgcrtiY2Np1qyZ7fm19Uy6d+/O6NGj+eabbwCum57rp59+omnTpri6urJ48WJGjx5NRkYGwcHBDBkyJM+6KD4+Pvz4448MGDCA0NBQSpYsyahRo+jbt6+tplGjRixatIiRI0fy6quvUrlyZZYvX07NmjVtNcOGDSMtLY2+ffuSnJxM48aNWbVqFW5ubgXx1YiIALkXd3yy4Rhvr9yDxQp1y/vycZdQ/L313x65O5msVqvV6BBGM5vN+Pj4kJKSctM5VUVEbiT+ZDJ95sdy/nIG9TwuEO05CfeUw+DkBo99BLWfMjqiyG3T8fHO0XctIv9W8pVM+i2M4/cjSTiYYNSj1enxQLDRsUT+FR0f7xx91yJyOzKycxi5bBdL43Iv7mgfWpa3n6iJq5MuLhX7cjvHR93RIiLyL63ccZahS+LJyLbQ2e8Ab2ZPwCHFDN5loMNCKFPP6IgiIiJix46cT6XXvFiOXkjD09WJj56uS7Mq/kbHEhERETt07nI6/RbEsfVEMg4mePWRavRqHIzJpPVY5O6mRouIyD9ktVqZsu4QH6w+AFgZX/pnnkyeg8lqgXIN4KkF4BVgdEwRERGxYxsPXaB/9FZSrmZRxtedT3rUp0qgl9GxRERExA7tPJVC3wWxnE1Jx9vNiSlP1+PB+0oZHUukUFCjRUTkH0jPyuGVL3ewPP4MrmTyRdAiaiX9mDtYrxs88j44uRobUkREROza4s0nGLl8F9kWK/XK+zKzWxglPXX+ISIiIvnvm+1neHnpdjKyLVQq5cHsbmFUKuVpdCyRQkONFhGR23QhNYNnF8QRd/wSZRyS+KbkNEok7QEHJ2g5Dur3Bt0yKyIiIgUkx2Jl3Pd7mfXrUQAeDwni3Xa1cXPWvOgiIiKSvywWKx+s3s/Unw4D0KxKKSZ1qou3m7PByUQKFzVaRERuw4HEy/Scu4VTl67S2O0wn7hNwsV8AYqVgCfnQXAToyOKiIiIHUvLyOaFxfGs2ZsIwJCI+xjU/F7Niy4iIiL57nJ6FkM+j2fN3nMAPPtQJYZFVsXRQecdIn+mRouIyC36ef85Bi7aRmpGNv29NzIseyam9EwIqAkdF0HxCkZHFBERETt2JvkqvebFsvesGVcnB95/sg5t6gQZHUtERETs0PGLafSeF8vBc6m4ODnwbrtaPFG3rNGxRAotNVpERG7BvI3HGPPtbkzWHKaW+IrWactyB6o9BlHTwVXzkoqIiEjBiT+ZTJ/5sZy/nEFJT1dmdQulbvniRscSERERO7Th0AWei95KytUsArxd+bhrGCHlfI2OJVKoORgdQESkMMvOsTDq613895vdeFlT+a7EpP9vsjQdkTtdmJosIkXCuHHjMJlMDB482LYtPT2dAQMGUKJECTw9PWnXrh2JiYl5XnfixAlat25NsWLF8Pf35+WXXyY7OztPzc8//0y9evVwdXXl3nvvZe7cuXfgE4nI3WLljrN0+DiG85czqBroxfIBjdRkERERkXxntVqZu+Eo3T7ZTMrVLOqU8+WbgY3VZBG5BbqjRUTkL5jTsxgQvZVfD17gXofTfOkzGZ+0k+BcDJ6YAdUfNzqiiNyiLVu28PHHH1O7du0824cMGcLKlStZunQpPj4+DBw4kLZt27JhwwYAcnJyaN26NYGBgWzcuJGzZ8/SrVs3nJ2deeeddwA4evQorVu3pl+/fkRHR7N27Vp69+5N6dKliYyMvOOfVUTsh9VqZcq6Q3yw+gAA/6nqz+ROdfF01Z9xIiIikr8ys3MvNF285SQAbeuW4Z22tXBzdjQ4mUjRoDN0EZEbOHHxCr3mbeHguVRaOm9niusUnK6mgU956LQIAmsZHVFEblFqaiqdO3dm1qxZvPXWW7btKSkpzJkzh0WLFvGf//wHgE8//ZRq1arx+++/07BhQ3788Uf27NnDmjVrCAgIICQkhDfffJPhw4czevRoXFxcmDFjBsHBwXzwwQcAVKtWjd9++40PP/xQjRYR+ccysnN45cudLNt2GoBejYN59ZFqWnxWRERE8t2F1Az6LYgj9vglHEwwolU1ejcJxmTSeYfIrdLUYSIif7LlWBJR0zZw8NxlXvL4jumO43HKToMKD0Dfn9RkESliBgwYQOvWrYmIiMizPS4ujqysrDzbq1atSvny5YmJiQEgJiaGWrVqERAQYKuJjIzEbDaze/duW82f9x0ZGWnbx41kZGRgNpvzPERErrmYmkHnWZtYtu00jg4m3n6iJq8/Wl1NFhEREcl3u06n8NhHvxF7/BJebk7M6VGfPg9WUpNF5DbpjhYRkT/4auspXvlyJ6acdOZ6f0rTzF9yB8J6Qst3wcnF2IAiclsWL17M1q1b2bJly3VjCQkJuLi44Ovrm2d7QEAACQkJtpo/NlmujV8b+7sas9nM1atXcXd3v+69x44dy5gxY/7x5xIR+3Uw8TI9523hZNJVvNycmN45lMaVSxodS0REROzQyh1neXFpPOlZFiqV9GBW9zDuKaV1aEX+CTVaREQAi8XKhNUHmPLTIQK5yGKfKVTM2A8OTtDqXajf2+iIInKbTp48yQsvvMDq1atxc3MzOk4eI0aMYOjQobbnZrOZcuXKGZhIRAqDXw6cZ2D0Vi5nZFOhRDHmdK/Pvf76sUNERETyl8Vi5cM1B/ho3SEAHryvFB91qouPu7PByUSKLjVaROSudzUzhxeXxvPdzgTqmg6ywHMynhkXwd0PnpoPwU2Mjigi/0BcXBznzp2jXr16tm05OTmsX7+eKVOm8MMPP5CZmUlycnKeu1oSExMJDAwEIDAwkM2bN+fZb2Jiom3s2j+vbftjjbe39w3vZgFwdXXF1dX1X39GEbEf82OOMfqb3ViscH+wHx93CaW4h+6kFRERkfyVmpHNkM/jWb0n92+YPk2CeaWV1oET+bfUaBGRu9o5czq958ey41QKTzmtZ6zLHByzssC/Ru6i98UrGh1RRP6h5s2bs3PnzjzbnnnmGapWrcrw4cMpV64czs7OrF27lnbt2gGwf/9+Tpw4QXh4OADh4eG8/fbbnDt3Dn9/fwBWr16Nt7c31atXt9V89913ed5n9erVtn2IiPyd7BwLb67Yw7yY4wC0Dy3LO0/UwsVJy2mKiIhI/jpx8Qp95seyP/EyLo4OjG1bi3ahZY2OJWIX1GgRkbvW7jMp9J4Xy7mUNN50+5yurAALUPVReOJjcNVUHSJFmZeXFzVr1syzzcPDgxIlSti29+rVi6FDh+Ln54e3tzfPP/884eHhNGzYEIAWLVpQvXp1unbtyvjx40lISGDkyJEMGDDAdkdKv379mDJlCsOGDaNnz56sW7eOJUuWsHLlyjv7gUWkyDGnZ/H8om38cuA8AMNbVqXfQ1p8VkRERPLfxsMXeC56K8lXsijl5crHXUOpV7640bFE7IYaLSJyV/pxdwKDP4/HKTOFxR7TqJ8Tnzvw0HB46BVw0FWkIneDDz/8EAcHB9q1a0dGRgaRkZFMmzbNNu7o6MiKFSvo378/4eHheHh40L17d9544w1bTXBwMCtXrmTIkCFMmjSJsmXLMnv2bCIjI434SCJSRJxMukKveVs4kJiKu7MjH3YIoWXNQKNjiYiIiJ2xWq0s/P04o7/dQ47FSu2yPszsGkagT+Fax1KkqDNZrVar0SGMZjab8fHxISUlBW9vb6PjiEgBslqtzPr1CGO/30clTrPQYyKls0+DczGImg41ooyOKFJo6Ph45+i7Frm7xB1Pou/8OC6mZRLg7cqc7vWpWcbH6FgihY6Oj3eOvmsR+5SZbWH0t7tZtOkEAFEhQYxrVxs3Z0eDk4kUDbdzfNQdLSJy18jMtvD68l18HnuSpg7bmOE2DbfsNPApBx0XQenaRkcUERERO7d822mGfbGDzBwLNct4M7tbfV1RKiIiIvnuYmoG/RduZfOxJEym3ClKn31QU5SKFBQ1WkTkrpB8JZN+C+P4/chFnnVawStOizFZrFC+ETw1HzxLGR1RRERE7JjFYmXimgNMXncIgMgaAXzYIYRiLvqTTERERPLXnjNm+syP5XTyVbxcnZjUKYT/VA0wOpaIXSvUixDk5OTw+uuvExwcjLu7O/fccw9vvvkmf5ztzGq1MmrUKEqXLo27uzsREREcPHjQwNQiUtgcOZ/KE9M2su1IAh+5zmCE02eYsEJoD+j2tZosIiIiUqDSs3J4fvE2W5Olf9N7mN45VE0WERERyXff7zxLu+kbOZ18lYolirFsQCM1WUTugEJ9Zv/uu+8yffp05s2bR40aNYiNjeWZZ57Bx8eHQYMGATB+/HgmT57MvHnzCA4O5vXXXycyMpI9e/bg5qZb8EXudhsPXaDfwjjc08+xzH0i1a2HwOQIrd6F+r1Bt8yKiIhIATp3OZ0+8+PYfjIZZ0cT7zxRiyfDyhkdS0REROyMxWJl0tqDTFqbewF6k8olmdKpHj7FnA1OJnJ3KNSNlo0bN/L444/TunVrACpWrMhnn33G5s2bgdy7WSZOnMjIkSN5/PHHAZg/fz4BAQEsX76cjh07GpZdRIy3ePMJRi7fRU3rQT4pNhE/SxK4F4cn50Glh4yOJyIiInZuzxkzvedt4UxKOr7FnPm4SygNKpUwOpaIiIjYmbSMbF5csp1VuxMA6NU4mBGtquLkWKgnMxKxK4X6/22NGjVi7dq1HDhwAIDt27fz22+/0apVKwCOHj1KQkICERERttf4+PjQoEEDYmJi/nK/GRkZmM3mPA8RsR85Fitvr9zDK1/t5DF+Yanbm7lNFv/q0OcnNVlERESkwK3Zk0j7GRs5k5JOpVIeLH/uATVZREREJN+dTLpCu+kbWbU7ARdHB8a3r83rj1ZXk0XkDivUd7S88sormM1mqlatiqOjIzk5Obz99tt07twZgISE3C5tQEDeeQYDAgJsYzcyduxYxowZU3DBRcQwaRnZvLB4G+v2JvCq02f0dVoJVqBKa2j7Mbh6GR1RRERE7JjVamXOb0d5+7u9WK3wwL0lmPZ0qKbtEBERkXz3+5GLPBe9laS0TEp6uvJx13qEVvAzOpbIXalQN1qWLFlCdHQ0ixYtokaNGsTHxzN48GCCgoLo3r37P97viBEjGDp0qO252WymXDnNkyxS1J1OvkrvebGcPnuWuS5TeNBhe+7Agy9D01fBQVdziIiISMHJyrEw6uvdfLb5BABPNyjPmMdq4KwrSkVERCSfLfz9OKO/2U22xUqtMj583DWUIF93o2OJ3LUKdaPl5Zdf5pVXXrGttVKrVi2OHz/O2LFj6d69O4GBgQAkJiZSunRp2+sSExMJCQn5y/26urri6upaoNlF5M6KP5lM73mxeKcd5Vu3CVTgDDi5Q9Q0qNnW6HgiIiJi51KuZNE/Oo6Nhy9iMsHI1tXp+UBFTCaT0dFERETEjmTlWBjz7W4W/p57YUebOkGMb1cbdxdHg5OJ3N0KdaPlypUrOPzpCnRHR0csFgsAwcHBBAYGsnbtWltjxWw2s2nTJvr373+n44qIQVbsOMOLS7YTbtnKFNepeJIG3mWh0yIoXcfoeCIiImLnjl5Io9fcLRy5kIaHiyOTO9WlebWAm79QRERE5DYkpWXyXHQcvx9JwmSCl1pU4bmm9+jCDpFCoFA3Wtq0acPbb79N+fLlqVGjBtu2bWPChAn07NkTAJPJxODBg3nrrbeoXLkywcHBvP766wQFBREVFWVseBEpcFarlY/WHWLC6v30dvyOV10+wwELlGsIHRaAp7/REUVERMTO/X7kIv0WxpF8JYsyvu7M7h5GtdLeRscSERERO7P3rJk+82M5dekqnq5OTOwQQkR1XdghUlgU6kbLRx99xOuvv85zzz3HuXPnCAoK4tlnn2XUqFG2mmHDhpGWlkbfvn1JTk6mcePGrFq1Cjc3NwOTi0hBS8/K4ZUvd/B9/DE+cJ5NO8ffcgfqdoXWE8DJxdiAIiIiYveWxJ7ktWU7ycqxElLOl5ndQvH30t8hIiIikr9W7Upg6JJ4rmTmUKFEMWZ3C6NygJfRsUTkD0xWq9VqdAijmc1mfHx8SElJwdtbV5+JFHYXUjN4dkEcJ48fYabLBEIcDoPJEVqOhfv7gm6ZFckXOj7eOfquRYoWi8XKuz/s4+NfjgDwaO3SvP9kHdycNTe6SH7S8fHO0XctUjj9/0weBwB44N4STH26Hr7FdHGpyJ1wO8fHQn1Hi4jIn+1PuEyveVsokbyTFW4f4s8lcC8OT86FSk2NjiciIiJ27kpmNoMXx/PjnkQABjWvzODmlXFw0IUeIiIikn+uZGbz0tLtfLczAYAejSoysnU1nBwdbvJKETGCGi0iUmT8vP8cAxdtIyLrZ951nYUrWVCqKnT6DPwqGR1PRERE7NzZlKv0nhfL7jNmXJwceK99bR4PKWN0LBEREbEzpy5doc/8OPaeNePsaOKtqJp0qF/e6Fgi8jfUaBGRImHuhqO8tWIXLzkupp/LityN97WCtjPBTbe2i4iISMHaeSqF3vO3kGjOoISHCzO7hRJawc/oWCIiImJnNh9Nov/COC6mZVLS04UZXUIJq6hzDpHC7h83Ws6cOcNvv/3GuXPnsFgsecYGDRr0r4OJiABk51j4v/buO76pev/j+CvpLtCW2VIpUATZs4VS8TqRqjgQUEH2BgEFvIh4EcWFP70iKBvUgoAMFQcoiCAoUlahQBmVJbtltoGWruT8/kByqYIySk/avJ+PRx5tz/kmeecbSL7J53zPd9S3O/hq7U6meo3nXo+ECzv+9W+45z9g1ZRZkaJKYw0RcRVLEo8xaF4CmTkObgsuzkddGhNWyt/sWCJyBfkxhvj555959913iY+P59ixYyxcuJBWrVo59xuGwSuvvMK0adNITU2lWbNmTJo0iWrVqjnbnD59moEDB/Ltt99itVpp06YN48aNo3jx4s42W7dupX///mzYsIGyZcsycOBAXnjhhTxZFixYwMsvv8zvv/9OtWrV+L//+z8eeuiha8oiIoXDZ+sPMvLrRHLsBrVDA5jaOZJbgvzMjiUiV+G6Ci2xsbH06dMHb29vSpcujeWShactFou+/BCRfJF2PocBczZxeM82vvL+L7daj2F4+mFpNQHqtDE7nojcRBpriIgrMAyDiSv38u7SJADurl6WD9s3pISvl8nJRORK8msMkZ6eTv369enevTutW7f+y/533nmHDz74gBkzZhAeHs7LL79MTEwMO3bswNfXF4AOHTpw7Ngxli1bRk5ODt26daN3797MmTMHuLDAbosWLWjevDmTJ09m27ZtdO/enaCgIHr37g3AmjVraN++PaNHj+bhhx9mzpw5tGrVik2bNlGnTp2rziIiri3H7uCNRTuYEXcAgJb1yvPftvXx8/YwOZmIXC2LYRjGtV4pLCyMvn37Mnz4cKxF4Ghym81GYGAgaWlpBAToFEQiruDgqQy6z9hA6MlfGe/1IQGWDAi4BdrNgdAGZscTcQtmvj8WtbHGP9FYRMT1ZOXaeenLRL7YdBjQArQiZrie98ebMYawWCx5ZrQYhkFoaCjPP/88//73vwFIS0sjODiY2NhY2rVrx86dO6lVqxYbNmwgMjISgCVLlvDQQw9x+PBhQkNDmTRpEv/5z39ITk7G29sbgBdffJGvvvqKXbt2AfDUU0+Rnp7OokWLnHmaNm1KgwYNmDx58lVluRoai4iY50x6Nv3nbGLN3lMA/LvFbfS/p2qeQrGImONa3h+va9SRkZFBu3bt3OKLDxEpeBt+P02rCau569Q8PvF+90KRJSwKeq9UkUXETWisISJmOp2eTafp6/li02E8rBZef6w2rz5aW0UWkUKgIMYQ+/fvJzk5mebNmzu3BQYGEhUVRVxcHABxcXEEBQU5iywAzZs3x2q1sm7dOmebO++801lkAYiJiSEpKYkzZ84421x6PxfbXLyfq8lyOVlZWdhstjwXESl4SclneWzCr6zZe4pi3h5M7RTBgHurqcgiUghd18ijR48eLFiwIL+ziIjwRfxhuk37hZdyPuRlr9l44ICGHaHLt1C8nNnxRKSAaKwhImbZc/wsrSb8yvrfT1PCx5NPujamU3Rls2OJyFUqiDFEcnIyAMHBwXm2BwcHO/clJydTrlzezy+enp6UKlUqT5vL3cal93GlNpfu/6cslzN69GgCAwOdl7CwsH941CKS35btSKH1xF85eDqDsFJ+fPlMM1rUDjE7lohcp+tao+XiuUGXLFlC3bp18fLKe47iMWPG5Es4EXEfDofBe8uSmP/TRmZ6v08j6x4MiweWmLcgqg/oaA4Rt6KxhoiY4ZfdJ3hm9ibOZuYSVsqPj7s0plpwCbNjicg10Bji6gwfPpwhQ4Y4/7bZbCq2iBQQwzCY8NMe3lv2G4YB0VVKM7FDI0oW8/7nK4uIy7ruQsvSpUupXr06wF8WlxMRuRbns+0MmZ/Ake2/8o3P+5S3nMbwDcLyRCzceo/Z8UTEBBpriEhBm7X2AK98sx27w6Bx5ZJM7hhB6eI+ZscSkWtUEGOIkJALR5ynpKRQvnx55/aUlBQaNGjgbHP8+PE818vNzeX06dPO64eEhJCSkpKnzcW//6nNpfv/Kcvl+Pj44OOj1ziRgnY+287Qz7ewaOsxADpHV+Llh2vhpdOTihR611Voee+99/j444/p2rVrPscREXeTYsuk18yNVD76HfO9p+JryYEy1bG0/wxK32p2PBExicYaIlJQ7A6DNxbv4JNffwegdcNbGN2mLj6eHuYGE5HrUhBjiPDwcEJCQli+fLmzmGGz2Vi3bh39+vUDIDo6mtTUVOLj44mIiABgxYoVOBwOoqKinG3+85//kJOT45x5s2zZMqpXr07JkiWdbZYvX86gQYOc979s2TKio6OvOouIuIajqefp/elGEo/Y8LRaeO2xOjwdVdHsWCKST66r0OLj40OzZs3yO4uIuJnEI2n0jl1Hp/Mz6ef97YWNtz0AraeBb4C54UTEVBpriEhBOJuZw7OfbeanpBMADI2pzjN336qZcyKFWH6NIc6dO8eePXucf+/fv5+EhARKlSpFxYoVGTRoEG+88QbVqlUjPDycl19+mdDQUFq1agVAzZo1eeCBB+jVqxeTJ08mJyeHAQMG0K5dO0JDQwF4+umnGTVqFD169GDYsGEkJiYybtw43n//fef9Pvfcc9x111289957tGzZkrlz57Jx40amTp0KXJil809ZRMR88QdO0+fTeE6ey6ZUMW8mdWhEVJXSZscSkXx0XfPSnnvuOT788MP8ziIibuSH7cl0m7yc1zPfop/nH0WWO4ZAuzkqsoiIxhoictMdPpNB20lx/JR0Al8vKxM7NKL/PVVVZBEp5PJrDLFx40YaNmxIw4YNARgyZAgNGzZk5MiRALzwwgsMHDiQ3r1707hxY86dO8eSJUvw9fV13sbs2bOpUaMG9913Hw899BB33HGHs0ACEBgYyA8//MD+/fuJiIjg+eefZ+TIkfTu3dvZ5vbbb2fOnDlMnTqV+vXr8/nnn/PVV19Rp04dZ5urySIi5pm/4RDtpq7l5LlsaoSU4JsBzVRkESmCLIZhGNd6pccff5wVK1ZQunRpateu/ZfF5b788st8C1gQbDYbgYGBpKWlERCgL3hFbibDMJj68z7mLv2JaZ7vUdV6FMPTF8tjE6BuW7PjicglzHx/LGpjjX+isYhIwdp08Ay9Z27k5LlsypbwYXrnSOqHBZkdS0T+5HreH91tDJFfNBYRyX+5dgdvfrfTeXrSB+uE8N6T9fH3vq4TDImICa7l/fG6/mcHBQXRunXry+7TEWAiciXZuQ5GfLWNo5u+5yuvcQRaMjBKhGJpNxtuaWR2PBFxIRpriMjN8s2Wo/x7wRaycx3UKh/A9C6RhAb5mR1LRPKJxhAi4gpSM7IZMGczq/ecBGBw89sYeG9VrFa9DokUVddVaGnRogXt27e/7L6hQ4feUCARKZrOpGfT99ON1D40hxles/CwGBgVGmN5ajaUCDY7noi4GI01RCS/GYbBuOW7GfvjbgCa1wxmXLsGFPPRUaUiRYnGECJitt0pZ+k5cyMHTmXg7+3BmCcb8ECdELNjichNdl1rtPTr14/vv//+L9uHDBnCrFmzbjiUiBQte0+c48kJK2lz+G1Gen2Kh8WABh2wdF2sIouIXJbGGiKSnzJz7Dw3N8FZZOlzZxWmdIpQkUWkCNIYQkTMtHxnCo9PXMOBUxlUKOnHF/1uV5FFxE1cV6Fl9uzZtG/fntWrVzu3DRw4kLlz5/LTTz/lWzgRKfx+3XOSnhMW8/a5l3jScxWGxQoxo+GxCeDpY3Y8EXFRGmuISH45cTaL9tPW8s2Wo3haLfxfm7oMf6gmHjp1h0iRpDGEiJjBMAwmrtxDz5kbOZeVS1R4Kb4ZcAc1y2vNIxF3cV2HcLVs2ZKJEyfy6KOPsmzZMj766CO+/vprVq5cyW233ZbfGUWkkPps/UHmfv0Nsz3fI9R6GodPINYnPoGq95kdTURcnMYaIpIfdiXb6BG7kSOp5wn082JSx0bcfmsZs2OJyE2kMYSIFLTMHDsvfL6Vb7YcBaBj04q88khtvDyu6/h2ESmkrnuu/NNPP01qairNmjWjbNmyrFq1iqpVq+ZnNhEppOwOg9Hf7SRlzWzmeU3B15KDo3Q1rE/Pg9K3mh1PRAoJjTVE5Eb8tOs4A+ZsIj3bTniZYnzctTHhZYqZHUtECoDGECJSUI6lnaf3zHi2HUnD02rhlUdr06lpJbNjiYgJrrrQMmTIkMtuL1u2LI0aNWLixInObWPGjLnxZCJSKJ3LymXQnHga7h3PCO9vADCqtcDaZjr4BpqcTkRcmcYaIpIfDMMgds3vvL5oBw4DoquUZlLHRgT5e5sdTURuEo0hRMQM8QfO0OfTeE6ey6KkvxeTOkbQtEpps2OJiEmuutCyefPmy26vWrUqNpvNud9i0bmORdzVkdTzDPxkFc+cfpvmnn+8ZjQbhOW+kWD1MDeciLg8jTVE5Ebl2B28+s12Zq87CMBTkWG83qoO3p46dYdIUaYxhIgUtAUbD/GfhYlk2x3UCCnBtM6RhJXyNzuWiJjoqgstWjRORP7O5oNnGDVjEe/mjKaaxxEcHj5YHxsP9Z40O5qIFBIaa4jIjUg7n8OAOZv4ZfdJLBZ46cGa9PxXuL5YFXEDGkOISEHJtTsY/f0uPlq9H4CY2sGMebIBxXyue3UGESki9CogIjds0dajfL5gFrHWsQRZ07EXC8Hj6TlwS4TZ0URERMQNHDiVTvfYDew9kY6/twfj2jXk/lrBZscSERGRIiQtI4cBn104qAPgufuq8dx91bBadVCHiKjQIiI3wDAMPly+m9M/fch0z1l4WhzYQyPwaD8HSoSYHU9ERETcwPr9p+nz6UbOZORQPtCX6V0iqR2qdeFEREQk/+w5fo5eMzey/2Q6fl4evPdkfR6qW97sWCLiQlRoEZHrkplj56UFG2my4y2e9VoJgKN+ezweHgtevqZmExEREffwefxhhn+5lRy7Qb0KgUzvHEm5AI1DREREJP/8tOs4z362mbNZudwS5MfUzhE6qENE/kKFFhG5ZifPZTE0dhn9j48i0vM3HFixtngda3R/0HnQRURE5CZzOAz++0MSE1fuBeChuiG890QD/Lw9TE4mIiIiRYVhGEz9eR9vL9mFYUCTyqWY2LERZYr7mB1NRFyQCi0ick2Sks/yf5/M5c3Mtwi1nibXqwSeT8VC1eZmRxMRERE3cD7bzuB5CSzZngzAwHurMrj5bTo/uoiIiOSbzBw7w7/cxsLNRwBo3ySMUY/WwdvTanIyEXFVKrSIyFX7Kek4i+dMYAIT8bNkkx10K94d50OZqmZHExERETeQYsuk54yNbDuShreHlbfb1KV1owpmxxIREZEiJDktkz6fbmTL4TQ8rBZeeaQWnZpWwqIzeIjI31AZVkT+kWEYxK7ey/ZPh/Jfy1j8LNnkhN+Ld58VKrKIiMuaNGkS9erVIyAggICAAKKjo/n++++d+zMzM+nfvz+lS5emePHitGnThpSUlDy3cfDgQVq2bIm/vz/lypVj6NCh5Obm5mmzcuVKGjVqhI+PD1WrViU2NrYgHp6I20k8ksZj439l25E0ShXzZnavKBVZREREJF9tPniGR8evZsvhNIL8vfi0exM6R1dWkUVE/pEKLSLyt3LtDt74cj23LO3FAM+vALBHD8Sr0+fgF2RqNhGRv1OhQgXefvtt4uPj2bhxI/feey+PPfYY27dvB2Dw4MF8++23LFiwgFWrVnH06FFat27tvL7dbqdly5ZkZ2ezZs0aZsyYQWxsLCNHjnS22b9/Py1btuSee+4hISGBQYMG0bNnT5YuXVrgj1ekKFu6PZknJseRbMukWrnifPVMMxpXLmV2LBERESlCvtx0mKemruX42SyqB5fgm/53cHvVMmbHEpFCwmIYhmF2CLPZbDYCAwNJS0sjICDA7DgiLiPtfA6vzVxE7yMjqG49TK7VG4/HPsRSv53Z0USkABTF98dSpUrx7rvv0rZtW8qWLcucOXNo27YtALt27aJmzZrExcXRtGlTvv/+ex5++GGOHj1KcHAwAJMnT2bYsGGcOHECb29vhg0bxuLFi0lMTHTeR7t27UhNTWXJkiVXnaso9rVIfvjzIrT/qlaGCR0aEeDrZXY0ESkAen8sOOprcWd2h8H/LdnF1J/3AXB/rWDef6oBxX204oKIu7uW90fNaBGRyzp4KoM3PpzEiKMDqG49TKZvWTy7L1GRRUQKJbvdzty5c0lPTyc6Opr4+HhycnJo3ry5s02NGjWoWLEicXFxAMTFxVG3bl1nkQUgJiYGm83mnBUTFxeX5zYutrl4G1eSlZWFzWbLcxGRvLJzHQz7Yiujv79QZOnUtBKfdG2sIouIiIjkm7TzOXSP3eAssgy8typTOkaoyCIi10yvGiLyFxv2n2L5zDcY7YjF0+Igo2wD/DvNhYDyZkcTEbkm27ZtIzo6mszMTIoXL87ChQupVasWCQkJeHt7ExQUlKd9cHAwycnJACQnJ+cpslzcf3Hf37Wx2WycP38ePz+/y+YaPXo0o0aNyo+HKFIknUnPpu+seNbtP43VAq88Upsut1c2O5aIiIgUIftOnKPnzI3sO5GOr5eV/z5Rn4frhZodS0QKKRVaRCSPLzfsI/fb53nRugIscL7mE/i3Hg9evmZHExG5ZtWrVychIYG0tDQ+//xzunTpwqpVq8yOxfDhwxkyZIjzb5vNRlhYmImJRFzH3hPn6BG7gd9PZVDcx5PxTzfk7urlzI4lIiIiRciq304wYM4mzmbmEhroy9TOkdS5JdDsWCJSiKnQIiIAOBwGk76Lo/H6QTSxJuHAiv3eV/D713NgsZgdT0Tkunh7e1O1alUAIiIi2LBhA+PGjeOpp54iOzub1NTUPLNaUlJSCAkJASAkJIT169fnub2UlBTnvos/L267tE1AQMAVZ7MA+Pj44OPjc8OPT6SoWbPnJH1nxWPLzKVCST8+6tKY6iElzI4lIiIiRYRhGHy0ej9vfbcThwGRlUoyqWMEZUtobC4iN0ZrtIgI57PtjP5kPq02dKSJNYlMj+LQfh5edw5SkUVEihSHw0FWVhYRERF4eXmxfPly576kpCQOHjxIdHQ0ANHR0Wzbto3jx4872yxbtoyAgABq1arlbHPpbVxsc/E2ROTqfbb+IJ0/Xo8tM5dGFYP4qn8zFVlEREQk32Tm2Pn3gq28sfhCkeWpyDBm94pSkUVE8oVmtIi4uRRbJp9MfZ8hZ8fgZ8nmbLHKlOj2OZSpZnY0EZEbMnz4cB588EEqVqzI2bNnmTNnDitXrmTp0qUEBgbSo0cPhgwZQqlSpQgICGDgwIFER0fTtGlTAFq0aEGtWrXo1KkT77zzDsnJyYwYMYL+/fs7Z6P07duX8ePH88ILL9C9e3dWrFjB/PnzWbx4sZkPXaRQsTsMRn+3k+mr9wPwWINQ/q9NPXy9PExOJiIiIkXFcVsmvT+NJ+FQKh5WCy+3rEmX2ytj0cGlIpJPVGgRcWOJh8+w7uOhvOhYABZIDb2ToE6fgl+Q2dFERG7Y8ePH6dy5M8eOHSMwMJB69eqxdOlS7r//fgDef/99rFYrbdq0ISsri5iYGCZOnOi8voeHB4sWLaJfv35ER0dTrFgxunTpwmuvveZsEx4ezuLFixk8eDDjxo2jQoUKTJ8+nZiYmAJ/vCKFUXpWLs/N3cyPOy/MHBty/20MvLeqvvQQERGRfLPlUCq9P91Iii2LQD8vJjzdiDuqlTE7logUMRbDMAyzQ/ydI0eOMGzYML7//nsyMjKoWrUqn3zyCZGRkcCFcyu+8sorTJs2jdTUVJo1a8akSZOoVu3qj8a32WwEBgaSlpZGQEDAzXooIi7lx4Q9sLAvzS0bAEhr2IfAR0aDVUePisgFen8sOOprcUdHU8/TY8ZGdh6z4eNp5b9P1OeR+qFmxxIRF6L3x4Kjvpai6uuEI7zw+Vaych1UK1ecaZ0jqVymmNmxRKSQuJb3R5ee0XLmzBmaNWvGPffcw/fff0/ZsmXZvXs3JUuWdLZ55513+OCDD5gxYwbh4eG8/PLLxMTEsGPHDnx9fU1ML+KaDMPgs6U/02hNf2pYD5GDFzktxxLYuKPZ0URERMRNJBxKpdfMjZw4m0WZ4j5M6xxBw4ol//mKIiIiIlfB7jB4d2kSk1ftBeC+GuUY264BJXy9TE4mIkWVSxda/u///o+wsDA++eQT57bw8HDn74ZhMHbsWEaMGMFjjz0GwMyZMwkODuarr76iXbt2BZ5ZxJVl5zr4ZNYMntw/gpLWc5z1LI1fp8/wrxRldjQRERFxE4u2HuX5+VvIynVQI6QEH3VtzC1BfmbHEhERkSLClpnDoLkJrNh14dSkz9x9K8+3qI6HVacmFZGbx2p2gL/zzTffEBkZyRNPPEG5cuVo2LAh06ZNc+7fv38/ycnJNG/e3LktMDCQqKgo4uLirni7WVlZ2Gy2PBeRou7MuSw+/WAEPfYPoaTlHCcDalF84C94qsgiIiIiBcAwDD5cvpsBczaTlevgvhrl+Lzf7SqyiIiISL7ZfzKdxyf8yopdx/HxtDKuXQNeeKCGiiwictO5dKFl3759zvVWli5dSr9+/Xj22WeZMWMGAMnJyQAEBwfnuV5wcLBz3+WMHj2awMBA5yUsLOzmPQgRF7A3+TS/jO1ID9sEPC0Okis9SpmBK7AE3mJ2NBEREXEDmTl2Bs9L4L1lvwHQ445wpnaOpLiPS0+wFxERkULkl90neGz8avaeSCckwJcFfaN5rIG+9xCRguHSn2wcDgeRkZG89dZbADRs2JDExEQmT55Mly5drvt2hw8fzpAhQ5x/22w2FVukyFqXmITn5114lJ04sHAqajghD7wAFh3NISIiIjffyXNZ9Pk0nvgDZ/C0WnjtsTo8HVXR7FgiIiJSRBiGwce//s6bi3fgMKBhxSCmdIqgXAmt3SwiBcelCy3ly5enVq1aebbVrFmTL774AoCQkBAAUlJSKF++vLNNSkoKDRo0uOLt+vj44OPjk/+BRVzMd8uWUW91XypYTpJu8Sf38emUrdfS7FgiIiLiJn5LOUv32A0cPnOeAF9PJnWMoFnVMmbHEhERkSIiK9fOiIWJLIg/DEDbiAq8+XgdfDw9TE4mIu7GpU8d1qxZM5KSkvJs++2336hUqRIA4eHhhISEsHz5cud+m83GunXriI6OLtCsIq7E7jD4fOZ47l7dgQqWk5zwugXP3ssJVJFFRERECsiq307QZuIaDp85T6XS/nz5TDMVWURERCTfHD+bSfupa1kQfxirBV5+uBbvtq2nIouImMKlZ7QMHjyY22+/nbfeeosnn3yS9evXM3XqVKZOnQqAxWJh0KBBvPHGG1SrVo3w8HBefvllQkNDadWqlbnhRUxyLjObFZOG0DbtU7DAgaCmVOw9F4t/SbOjiYiIiJuYseZ3Rn27HYcBTcJLMaVjBCWLeZsdS0RERIqIbYfT6P3pRo6lZRLg68n4pxtx521lzY4lIm7MpWe0NG7cmIULF/LZZ59Rp04dXn/9dcaOHUuHDh2cbV544QUGDhxI7969ady4MefOnWPJkiX4+uo8jOJ+jh4/yZb3HuXRtE8B2Fu1K5UGLlaRRURERApErt3ByK8TeeWbC0WWJyIqMKtHlIosIlLkVK5cGYvF8pdL//79Abj77rv/sq9v3755buPgwYO0bNkSf39/ypUrx9ChQ8nNzc3TZuXKlTRq1AgfHx+qVq1KbGzsX7JMmDCBypUr4+vrS1RUFOvXr79pj1vEFXyz5ShtJ6/hWFomt5YtxtcD7lCRRURM59IzWgAefvhhHn744Svut1gsvPbaa7z22msFmErE9WzfvhXvBR1oxkGy8eTYv0Zz6329zY4lIiIibsKWmcOAOZv5+bcTWCww7IEa9LmzChaLxexoIiL5bsOGDdjtduffiYmJ3H///TzxxBPObb169crzXYW/v7/zd7vdTsuWLQkJCWHNmjUcO3aMzp074+XlxVtvvQXA/v37admyJX379mX27NksX76cnj17Ur58eWJiYgCYN28eQ4YMYfLkyURFRTF27FhiYmJISkqiXLlyN7sbRAqUw2Hw3rIkJvy0F4B7qpdlXPuGBPh6mZxMRAQshmEYZocwm81mIzAwkLS0NAICAsyOI3LN1iz/iho/D6CU5SynLUHYn5hF2Vr/MjuWiBRyen8sOOprKewOnc6ge+wGdh8/h5+XB+8/1YAH6oSYHUtECrnC9P44aNAgFi1axO7du7FYLNx99900aNCAsWPHXrb9999/z8MPP8zRo0cJDg4GYPLkyQwbNowTJ07g7e3NsGHDWLx4MYmJic7rtWvXjtTUVJYsWQJAVFQUjRs3Zvz48QA4HA7CwsIYOHAgL7744lXnL0x9Le7pbGYOg+cl8OPO4wD0vetWhsZUx8OqAzpE5Oa5lvdHlz51mIj8PcMwWPHpaBr/3J1SlrP87n0bPs/8rCKLiIiIFJiNv5/msQm/svv4OYIDfFjQN1pFFhFxK9nZ2cyaNYvu3bvnmcU3e/ZsypQpQ506dRg+fDgZGRnOfXFxcdStW9dZZAGIiYnBZrOxfft2Z5vmzZvnua+YmBji4uKc9xsfH5+njdVqpXnz5s42V5KVlYXNZstzEXFVB06l03riGn7ceRxvTytjn2rAiw/WUJFFRFyKy586TEQuLzMzk42Te3Fv6jdggcRS91Ozz0w8fPz/+coiIiIi+WDh5sMM+3wb2XYHdW4JYHrnxoQEaq1EEXEvX331FampqXTt2tW57emnn6ZSpUqEhoaydetWhg0bRlJSEl9++SUAycnJeYosgPPv5OTkv21js9k4f/48Z86cwW63X7bNrl27/jbz6NGjGTVq1HU9XpGC9OuekzwzexNp53MIDvBhSqdIGoQFmR1LROQvVGgRKYROphwhefpT3JGzDYdhYUv152jY/lXQOdBFRESkADgcBu//+BsfrtgDwAO1QxjzVH38vfXxQkTcz0cffcSDDz5IaGioc1vv3v9bL7Nu3bqUL1+e++67j71793LrrbeaETOP4cOHM2TIEOffNpuNsLAwExOJ5GUYBjPW/M7ri3didxg0CAtiaqcIygXogA4RcU36JCRSyOzfsQGfBU9TxzjOOfw4eM8HNLz7SbNjiYiIiJs4n23n359vYfHWYwD0u/tWhraojlWn7xARN3TgwAF+/PFH50yVK4mKigJgz5493HrrrYSEhLB+/fo8bVJSUgAICQlx/ry47dI2AQEB+Pn54eHhgYeHx2XbXLyNK/Hx8cHHx+efH6CICbJzHYz8OpG5Gw4B0LrRLbz1eF18vTxMTiYicmVao0WkENmyYj5l5z1CqHGcI5YQTrf/jloqsoiIiEgBOW7LpN3UOBZvPYaXh4V329Zj2AM1VGQREbf1ySefUK5cOVq2bPm37RISEgAoX748ANHR0Wzbto3jx4872yxbtoyAgABq1arlbLN8+fI8t7Ns2TKio6MB8Pb2JiIiIk8bh8PB8uXLnW1ECpuT57J4etpa5m44hNUCI1rW5L0n6qvIIiIuTzNaRAoBw+Fg3dy3aJz0XzwsBtu963FL7wUEldFCsyIiIlIwdhy10XPGBo6mZRLk78WUjhFEVSltdiwREdM4HA4++eQTunTpgqfn/75e2bt3L3PmzOGhhx6idOnSbN26lcGDB3PnnXdSr149AFq0aEGtWrXo1KkT77zzDsnJyYwYMYL+/fs7Z5r07duX8ePH88ILL9C9e3dWrFjB/PnzWbx4sfO+hgwZQpcuXYiMjKRJkyaMHTuW9PR0unXrVrCdIZIPEo+k0XvmRo6mZVLC15MP2zfk7urlzI4lInJVVGgRcXE52VlsmtKbpqe+AgusL9mSBn0/xttH5yUVERGRgvHjjhSenbuZjGw7VcoW4+MujalcppjZsURETPXjjz9y8OBBunfvnme7t7c3P/74o7PoERYWRps2bRgxYoSzjYeHB4sWLaJfv35ER0dTrFgxunTpwmuvveZsEx4ezuLFixk8eDDjxo2jQoUKTJ8+nZiYGGebp556ihMnTjBy5EiSk5Np0KABS5YsITg4+OZ3gEg+Wrz1GM8vSCAzx0GVMsWY1iWSW8sWNzuWiMhVsxiGYZgdwmw2m43AwEDS0tIICAgwO46IU9rpExya0pY6WQk4DAvrqw0i6umRWKw665+I3Hx6fyw46mtxVYZh8NHq/bz53U4MA5pVLc3EpyMI9PcyO5qIuAG9PxYc9bWYxeEweP/H3/hwxR4A7rqtLB+0b0ign8YaImK+a3l/1IwWERd1aM82mP0kdYyjZBg+JP1rHE2btzc7loiIiLiJHPuFhWg/W39hIdqnoyoy6tHaeHnogA8RERG5ceeychk8L4FlO1IA6H1nFYY9UAMPrf0mIoWQCi0iLmj7r4upsKwXgaSTTBnS286mYd2mZscSERERN5GWkUO/2fGs2Xvqj4Voa9GtWWUsFn3xISIiIjfu4KkMes3cSFLKWbw9rYx+vC5tIiqYHUtE5Lqp0CLiYtZ/MZaGW1/Dy2LnN8/bKNXzC24NqWh2LBEREXET+0+m0yN2A/tOplPM24MPn27IvTV0rn8RERHJH2v2nuSZ2ZtIzcihXAkfpnSKoGHFkmbHEhG5ISq0iLgIe24uG6Y/S9Pk2WCBjSXuoU6/Wfj6a/E3ERERKRhxe0/Rd1Y8aedzuCXIj+ldIqlZXufqFxERkRtnGAaz1h7g1W93YHcY1K8QyJROkYQE+podTUTkhqnQIuIC0s+m8tuk9jTNWANAXFgvmnZ7R4vei4iISIGZv+EQLy3cRq7DoEFYEFM7R1CuhL74EBERkRuXnevglW+289n6gwC0ahDK223q4evlYXIyEZH8oUKLiMmSD+0hPbYtDe37yTK82Nb4LaIf7m12LBEREXETDofB/y3ZxZSf9wHwSP1Q3m2rLz5EREQkf5w6l0W/WZtY//tpLBYY9kAN+txZRWu/iUiRokKLiIl+27SSUt904VZSOUkQJx/5mMjI+8yOJSIiIm4iPSuXQfMSWLYjBYDn7qvGoObV9MWHiIiI5IsdR230mrmRI6nnKeHjyQftG3JPjXJmxxIRyXcqtIiYJP676dRe9yK+lhz2WSvj12UBNSrdZnYsERERcRPH0s7TI3YjO47Z8Pa08m7bejzW4BazY4mIiEgR8f22YwyZv4XzOXYql/ZnepdIqpYrYXYsEZGbQoUWkQJmOBysjX2R6INTwAIJfk2p2m8uxQNKmh1NRERE3MTWw6n0nLGR42ezKFPcmymdIomopLGIiIiI3DiHw2Dc8t2MW74bgH9VK8P49o0I9PcyOZmIyM2jQotIAco8n07ixE5En10OQFxwe5r0Go+Hp/4rioiISMH4ftsxBs9PIDPHQfXgEkzvEklYKX+zY4mIiEgRkJ6Vy/Pzt7BkezIAPe4IZ/iDNfD0sJqcTETk5tK3uyIF5GTyIU5Nb0tk7i5yDA821x1BdNshZscSERERN2EYBhNX7uXdpUkA3F29LB+2b0gJXx1dKiIiIjfu0OkMes3cyK7ks3h7WHnj8To8GRlmdiwRkQKhQotIAdi/fR1+CzpQnROkUYxD90+hyR2PmB1LRERE3ERWrp3hX27jy01HAOh6e2VGtKypo0tFREQkX6zdd4pnZm/idHo2ZYr7MKVThE5LKiJuRYUWkZtsy4q5VF31HMUsmRyyhMLTc6lTrb7ZsURERMRNnE7Pps+nG9nw+xk8rBZefbQ2nZpWMjuWiIiIFBGz1h7g1W+2k+swqHtLIFM7R1A+0M/sWCIiBUqFFpGbxHA4WPfZGzT+bQweFoPt3vWp0GcBgaWDzY4mIiIibmLP8bN0j93IwdMZlPDxZEKHRtx5W1mzY4mIiEgRkGN3MOrb7cxaexCAR+qH8k6bevh5e5icTESk4KnQInIT5GRnsWlyT5qe/gYssL7UIzTs+xFe3j5mRxMRERE38cvuEzwzexNnM3MJK+XHx10aUy24hNmxREREpAg4nZ7NM7PjWbvvNBYLDI2pTr+7bsVisZgdTUTEFCq0iOSztFMpHJr6JFFZCTgMC+tvG0JU+xFYrDoHuoiIiBSMT/84hYfdYdC4ckkmd4ygdHEd8CEiIiI3bucxG71mbuTwmfMU9/Fk7FMNaF5LZ+8QEfemQotIPjq0ewvMaUcd4yjphi+7/zWOps3bmR1LRERE3ESu3cEbi3cSu+Z3AFo3uoXRrevi46lTeIiIiMiNW5KYzJD5CWRk26lU2p/pnSM1Y1ZEBBVaRPJN4q/fErasD4Gkk0xZMp6YTYM6UWbHEhERETdxNjOHgZ9tZmXSCeDCKTyeuVun8BAREZEb53AYfLhiD+//+BsAzaqWZsLTjQjy9zY5mYiIa1ChRSQfrP/ifRpufR0vi50kzxqU7vk5VULCzI4lIiIibuLQ6Qx6zthIUspZfL2sjHmyAQ/VLW92LBERESkCMrJz+feCLXy3LRmArrdXZkTLmnh66BTpIiIXqdAicgPsublsmDaApimfgQU2lriPOs98iq9fMbOjiYiIiJuIP3CGPp9u5OS5bMqV8GF6l0jqVQgyO5aIiIgUAYfPZNBrZjw7j9nw8rDwRqs6PNW4otmxRERcjgotItfpnO0Meya1o+n5tQDEVexD065va9F7ERERKTBfJxxh6Odbyc51UKt8AB91jaR8oJ/ZsURERKQIWL//NP1mxXMqPZsyxb2Z3DGCyMqlzI4lIuKSVGgRuQ7JB3eTEduWBo7fyTS82N7kbaJb9jQ7loiIiLgJwzAY++Nuxi3fDUDzmsGMa9eAYj4a3ouIiMiN+2z9QUZ+nUiO3aB2aABTO0dyS5AO5hARuRJ9EhO5Rkkbl1N6UXeqkMpJgjj1aCwREfeYHUtERETcRGaOnaGfb+XbLUcB6HNnFV54oAYeVi16LyIiIjcmx+7gjUU7mBF3AICW9crz37b18fP2MDmZiIhr0zmORK7BxsXTqPztU5Qhlb3WcHK7/0h1FVlERFzS6NGjady4MSVKlKBcuXK0atWKpKSkPG0yMzPp378/pUuXpnjx4rRp04aUlJQ8bQ4ePEjLli3x9/enXLlyDB06lNzc3DxtVq5cSaNGjfDx8aFq1arExsbe7Icnbur42UzaTV3Lt1uO4mm18H9t6jL8oZoqsoiIiMgNO5OeTeeP1juLLP9ucRvj2zdUkUVE5Cqo0CJyFQyHg7iP/k3khn/jY8lhs380wYNXElKxmtnRRETkClatWkX//v1Zu3Yty5YtIycnhxYtWpCenu5sM3jwYL799lsWLFjAqlWrOHr0KK1bt3but9vttGzZkuzsbNasWcOMGTOIjY1l5MiRzjb79++nZcuW3HPPPSQkJDBo0CB69uzJ0qVLC/TxStG385iNxyesIeFQKoF+XnzaI0qL0YqIiEi+SEo+y6MTVhO37xTFvD2Y2imCAfdWw2LRwRwiIlfDYhiGYXYIs9lsNgIDA0lLSyMgIMDsOOJiMjPOsX1SJyLOrgBgbUgHGvf8AA9PnXlPRIq2ovb+eOLECcqVK8eqVau48847SUtLo2zZssyZM4e2bdsCsGvXLmrWrElcXBxNmzbl+++/5+GHH+bo0aMEBwcDMHnyZIYNG8aJEyfw9vZm2LBhLF68mMTEROd9tWvXjtTUVJYsWXJV2YpaX0v+W7ErhYFzNpOebSe8TDE+7tqY8DLFzI4lInJT6f2x4Kiv3dsP25MZPC+B9Gw7YaX8mN65MdVDSpgdS0TEdNfy/qgZLSJ/42TyQQ6MuZeIsyvIMTxYX3cUTftOVJFFRKQQSktLA6BUqVIAxMfHk5OTQ/PmzZ1tatSoQcWKFYmLiwMgLi6OunXrOossADExMdhsNrZv3+5sc+ltXGxz8TYuJysrC5vNlucicjmGYfDx6v30nLGR9Gw70VVKs/CZ21VkERERkRtmGAbjV+ym96fxznHGN/3vUJFFROQ66NtikSvYl7gO/8+fpjonSaU4R1pMpUmzlmbHEhGR6+BwOBg0aBDNmjWjTp06ACQnJ+Pt7U1QUFCetsHBwSQnJzvbXFpkubj/4r6/a2Oz2Th//jx+fn5/yTN69GhGjRqVL49Niq4cu4NXv9nO7HUHAWjXOIzXW9XBy0PHSomIiMiNOZ9tZ+jnW1i09RgAXaIrMeLhWhpniIhcJxVaRC4j4cfPuO2X5/C3ZHHIEgod5lO7al2zY4mIyHXq378/iYmJrF692uwoAAwfPpwhQ4Y4/7bZbISFhZmYSFxN2vkc+s/exOo9J7FY4KUHa9LzX+E6T7qIiIjcsCOp5+k9cyPbj9rwtFp47bE6PB2ldd9ERG5EoSpTv/3221gsFgYNGuTclpmZSf/+/SldujTFixenTZs2pKSkmBdSCjXD4WDt7FHU+6Uf/pYsEn0aEDDwZ8JUZBERKbQGDBjAokWL+Omnn6hQoYJze0hICNnZ2aSmpuZpn5KSQkhIiLPNn8cVF//+pzYBAQGXnc0C4OPjQ0BAQJ6LyEUHTqXTeuKvrN5zEn9vD6Z2iqTXnVVUZBEREZEbtvH30zw2fjXbj9ooVcybOb2aqsgiIpIPCk2hZcOGDUyZMoV69erl2T548GC+/fZbFixYwKpVqzh69CitW7c2KaUUZtlZmWz4sBNNd4/BajFYV/oxqj//A4GlypodTUREroNhGAwYMICFCxeyYsUKwsPD8+yPiIjAy8uL5cuXO7clJSVx8OBBoqOjAYiOjmbbtm0cP37c2WbZsmUEBARQq1YtZ5tLb+Nim4u3IXIt1u07RasJv7L3RDrlA31Z0Dea+2sF//MVRURERP7BvA0HaT9tLSfPZVOzfADfDGhGk/BSZscSESkSCsWpw86dO0eHDh2YNm0ab7zxhnN7WloaH330EXPmzOHee+8F4JNPPqFmzZqsXbuWpk2bmhVZCpm0UykcntKWJtlbsRsWNlT/N1HtXsJiLTS1SBER+ZP+/fszZ84cvv76a0qUKOFcUyUwMBA/Pz8CAwPp0aMHQ4YMoVSpUgQEBDBw4ECio6OdY4gWLVpQq1YtOnXqxDvvvENycjIjRoygf//++Pj4ANC3b1/Gjx/PCy+8QPfu3VmxYgXz589n8eLFpj12KZwWbDzESwu3kWM3qF8hkGmdIykX4Gt2LBERESnkcu0O3li8k9g1vwPwYJ0Q3nuyPv7eheJrQRGRQqFQfIvcv39/WrZsSfPmzfNsj4+PJycnJ8/2GjVqULFiReLi4q54e1lZWdhstjwXcV+Hdm/BNv5uamdv5ZzhR+JdU2n69AgVWURECrlJkyaRlpbG3XffTfny5Z2XefPmOdu8//77PPzww7Rp04Y777yTkJAQvvzyS+d+Dw8PFi1ahIeHB9HR0XTs2JHOnTvz2muvOduEh4ezePFili1bRv369XnvvfeYPn06MTExBfp4pfByOAz+b8kuhn6+lRy7wUN1Q5jbO1pFFhEREblhqRnZdP1kg7PIMrj5bUx4upGKLCIi+czlv0meO3cumzZtYvTo0X/Zl5ycjLe3N0FBQXm2BwcHO49avZzRo0cTGBjovGjxWfeV+MvXBM5+kDDjKMcoy4knv6b+vU+aHUtERPKBYRiXvXTt2tXZxtfXlwkTJnD69GnS09P58ssvnWuvXFSpUiW+++47MjIyOHHiBP/973/x9Mz7wfTuu+9m8+bNZGVlsXfv3jz3IfJ3MrJzeWb2Jiat3AvAwHurMr59I/y8PUxOJiIif+fVV1/FYrHkudSoUcO5/2rWkz148CAtW7bE39+fcuXKMXToUHJzc/O0WblyJY0aNcLHx4eqVasSGxv7lywTJkygcuXK+Pr6EhUVxfr162/KY5bCZ3fKWR6b8L913yZ3jOC55tWwWrXum4hIfnPpQsuhQ4d47rnnmD17Nr6++XdE3/Dhw0lLS3NeDh06lG+3LYXHugXvUf3HbgSQzi7Pmnj3W0l47SizY4mIiIibSE7L5MkpcSzZnoy3h5UxT9bn+RbV9eWHiEghUbt2bY4dO+a8rF692rnvn9aTtdvttGzZkuzsbNasWcOMGTOIjY1l5MiRzjb79++nZcuW3HPPPSQkJDBo0CB69uzJ0qVLnW3mzZvHkCFDeOWVV9i0aRP169cnJiYmz/py4p5+3JHC4xPXcOBUBhVK+vFFv9t5oE7IP19RRESui0vPE4yPj+f48eM0atTIuc1ut/Pzzz8zfvx4li5dSnZ2NqmpqXlmtaSkpPzlaNRL+fj4OM+rLu7HnpvLhmn9aZoyFyywMaA5dfrNxNevmNnRRERExE0kHkmjx4wNpNiyKFXMm6mdIoisrMVoRUQKE09Pz8t+93A168n+8MMP7Nixgx9//JHg4GAaNGjA66+/zrBhw3j11Vfx9vZm8uTJhIeH89577wFQs2ZNVq9ezfvvv+88RemYMWPo1asX3bp1A2Dy5MksXryYjz/+mBdffLGAekJciWEYTFq1l3eXJmEYEBVeikkdIyhVzNvsaCIiRZpLz2i577772LZtGwkJCc5LZGQkHTp0cP7u5eXF8uXLnddJSkri4MGDREdHm5hcXNU52xkS33voQpEFiKvUl4hBC1RkERERkQKzdHsyT0yOI8WWRbVyxfnqmWYqsoiIFEK7d+8mNDSUKlWq0KFDBw4ePAhc3XqycXFx1K1bl+DgYGebmJgYbDYb27dvd7b581q1MTExztvIzs4mPj4+Txur1Urz5s3/dt1a0Nq1RdX5bDvPzU3gnSUXiiwdm1ZkVs8oFVlERAqAS89oKVGiBHXq1MmzrVixYpQuXdq5vUePHgwZMoRSpUoREBDAwIEDiY6OpmnTpmZEFhd27EASmTOepL7jdzINL7ZHvUP0Q93NjiUiIiJuwjAMJq/axztLd2EY8K9qZZjQoREBvl5mRxMRkWsUFRVFbGws1atX59ixY4waNYp//etfJCYmXtV6ssnJyXmKLBf3X9z3d21sNhvnz5/nzJkz2O32y7bZtWvX3+YfPXo0o0aNuubHLa7rWNp5es+MZ9uRNDytFl55tDadmlYyO5aIiNtw6ULL1Xj//fexWq20adOGrKwsYmJimDhxotmxxMXs2vAjZRd3pzxpnCSI04/NJKLRXWbHEhERETeRnevgPwu3sSD+MACdoysx8uFaeHq49ARzERG5ggcffND5e7169YiKiqJSpUrMnz8fPz8/E5NdneHDhzNkyBDn3zabjbCwMBMTyY2IP3CGPp/Gc/JcFiX9vZjUMYKmVUqbHUtExK0UukLLypUr8/zt6+vLhAkTmDBhgjmBxOVt/HYKdTf+Bx9LDns9qlCs6wJuC6tqdiwRERFxE2fSs+kzK571+09jtcArj9Smy+2VzY4lIiL5KCgoiNtuu409e/Zw//33/+N6siEhIaxfvz7PbaSkpDj3Xfx5cdulbQICAvDz88PDwwMPD4/Ltvm7dWtBa9cWJQs2HuI/CxPJtjuoEVKCaZ0jCSvlb3YsERG3o0PopMhy2O2snT6EyPgX8LHksNn/dkIG/USIiiwiIiJSQPaeOEerib+yfv9pivt48nHXxiqyiIgUQefOnWPv3r2UL1+eiIiIf1xPNjo6mm3btnH8+HFnm2XLlhEQEECtWrWcbS69jYttLt6Gt7c3ERERedo4HA6WL1+udWvdQK7dweuLdjD0861k2x3E1A7mi363q8giImKSQjejReRqZGacY/vEDjQ9txKAuPIdier5AVYPD3ODiYiIiNv4dc9J+s2Kx5aZS4WSfnzUpTHVQ0qYHUtERPLBv//9bx555BEqVarE0aNHeeWVV/Dw8KB9+/YEBgb+43qyLVq0oFatWnTq1Il33nmH5ORkRowYQf/+/Z0zTfr27cv48eN54YUX6N69OytWrGD+/PksXrzYmWPIkCF06dKFyMhImjRpwtixY0lPT6dbt26m9IsUjLSMHAZ8tolfdp8E4Ln7qvHcfdWwWi0mJxMRcV8qtEiRc/LoAU5/3JaI3N/INjxIaPAq0Y8/a3YsERERcSNz1h3k5a8TsTsMIiqVZEqnCMoU1ylaRESKisOHD9O+fXtOnTpF2bJlueOOO1i7di1ly5YF/nk9WQ8PDxYtWkS/fv2Ijo6mWLFidOnShddee83ZJjw8nMWLFzN48GDGjRtHhQoVmD59OjExMc42Tz31FCdOnGDkyJEkJyfToEEDlixZQnBwcMF1hhSoPcfP0nPGRn4/lYGflwfvPVmfh+qWNzuWiIjbsxiGYZgdwmw2m43AwEDS0tIICAgwO47cgL1b11D8y44Ec4pUinOkxTRq3/6Q2bFERAolvT8WHPV10WF3GLz13U4+Wr0fgFYNQnm7TT18vTSrVkTkWun9seCorwuHn3Yd59nPNnM2K5dbgvyY2jmC2qGBZscSESmyruX9UTNapMhIWDaH21YPwt+SxQFrBTw7zqd2ldpmxxIRERE3cS4rl+c+28zyXRfOtz/k/tsYeG9VLBadxkNERESun2EYTPl5H/+3ZBeGAY0rl2RSR82WFRFxJSq0SKFnOBysmzOKJrvHYbUYbPNpRMW+CwgsWcbsaCIiIuImjqSep0fsBnYln8XH08p7T9bn4XqhZscSERGRQi4zx86LX2zlq4SjALRvEsaoR+vg7Wk1OZmIiFxKhRYp1LKzMkmY1I2mqd+BBdaVbkWjPlPx8tZRHSIiIlIwNh88Q6+Z8Zw8l0WZ4j5M7xJJg7Ags2OJiIhIIZeclknvTzey9XAaHlYLrzxSi05NK2m2rIiIC1KhRQqt1JPJHJnalibZ27AbFjbUeIGop17EYtVRHSIiIlIwFm09yvPzt5CV66BGSAk+6tqYW4L8zI4lIiIihdzmg2fo82k8x89mEeTvxcSnG3F7VZ25Q0TEVanQIoXSod1bsMx5itrGMc4Zfuy9+0Oa3vOE2bFERETETRiGwYcr9jBm2W8A3FejHOPaN6S4j4bXIiIicmO+iD/M8IXbyM51cFtwcaZ3bkzF0v5mxxIRkb+hT4JS6CT++i1hy/oQSDpHLeXIenIO9Ws1NjuWiIiIuInMHDvDvtjK13+cK73nHeEMf6gmHladxkNERESun91h8Pb3O5n2y34A7q8VzPtPNdCBHCIihYBeqaVQWf/FWBpufQ0vi51dnjUp2+tzQoMrmB1LRERE3MTJc1n0nrmRTQdT8bRaeO2xOjwdVdHsWCIiIlLIpZ3P4dnPNrPqtxMADLy3KoOb34ZVB3KIiBQKKrRIoeCw21k/bSBNk2eDBTaWuI86z3yKr18xs6OJiIiIm0hKPkuPGRs4fOY8Ab6eTOoYQTOdK11ERERu0N4T5+g1YyP7Tqbj62Xlv0/U5+F6oWbHEhGRa6BCi7i8jHNpJE1sT9OMXwGIq9ibpl3/T4vei4iISIFZmXScAXM2cy4rl8ql/fmoa2NuLVvc7FgiIiJSyK1MOs7AzzZzNjOX0EBfpnaOpM4tgWbHEhGRa6RCi7i040f2Y/u4DQ3te8kyvNjW+C2iH+5tdiwRERFxI7G/7ue1RTtwGBAVXorJHSMoWczb7FgiIiJSiBmGwfRf9jP6+504DIisVJJJHSMoW8LH7GgiInIdVGgRl7Vny2oCFnaiKqc5TQDHW35MZJP7zY4lIiIibiLX7uC1RTuYGXcAgCciKvDm43Xx9tSsWhEREbl+mTl2Xlq4jS83HQHgqcgwXmtVGx9PD5OTiYjI9VKhRVzS5h9mUf3XIfhbsvjdGoZ3p8+pEV7D7FgiIiLiJmyZOfSfvYlfdp/EYoFhD9Sgz51VsFi0IK2IiIhcvxRbJn0+jSfhUCoeVgsvt6xJl9sra4whIlLIqdAiLsVwOFg3+1Wa7PkAq8Vgq28klfvOJyCotNnRRERExE0cPJVBjxkb2H38HH5eHrz/VAMeqBNidiwREREp5LYcSqX3pxtJsWUR6OfFhKcbcUe1MmbHEhGRfKBCi7iM7KxMEiZ1o2nqd2CBdWVaE9FnCp5eOge6iIiIFIwNv5+mz6fxnE7PJjjAh4+6NNaCtCIiInLDvtp8hBe+2Ep2roNq5YozrXMklcsUMzuWiIjkExVaxCWknUrh8JQnaJK9BbthYUONF2ja/iWzY4mIiIgb+XLTYV78YhvZdgd1bglgeufGhAT6mh1LRERECjG7w+CdpbuYsmofAPfVKMfYdg0o4etlcjIREclPKrSI6Q7t2Qazn6S2cZRzhh977/qApvc+aXYsERERcRMOh8GYZb8x/qc9ADxQO4QxT9XH31tDZREREbl+tswcnvtsMz8lnQDgmbtv5fkW1fGwaj0WEZGiRp8exVTbf11MhWW9CCSdZMpy/snZ1K8dZXYsERERcRPns+08vyCB77YlAxe+APl3i+pY9QWIiIiI3ID9J9PpOWMDe0+k4+Np5Z229XiswS1mxxIRkZtEhRYxzfqFH9Ag4VW8LXaSPKtTuufnhIdUNDuWiIiIuInjtkx6ztzI1sNpeHlYGN26Hm0jKpgdS0RERAq5n387wYA5m7Bl5hIS4MvUzhHUqxBkdiwREbmJVGiRAuew21k3fRDRx2aCBeJL3EPtfrPw9S9udjQRERFxE9uPptFzxkaOpWUS5O/FlI4RRFUpbXYsERERKcQMw+Cj1ft567udOAxoWDGIKZ0iKFdCa76JiBR1KrRIgco4l0bSpKeJTl8NwNoKPWjS7V2sHh4mJxMRERF3sWxHCs/N3UxGtp1byxbj466NqVS6mNmxREREpBDLyrXzn4WJfB5/GIC2ERV48/E6+Hjq+w4REXegQosUmBNHfyf1ozY0tO8h2/Bka8QbNH20n9mxRERExE0YhsH0X/bz1vc7MQy4o2oZJnRoRKCfl9nRREREpBA7fjaTvp/Gs+lgKlYL/KdlLbo3q4zFojXfRETchQotUiD2bPmVgIUdqcZpzhBA8kPTiYyKMTuWiIiIuInsXAcjv05k7oZDADwdVZFRj9bGy8NqcjIREREpzLYeTqX3zHiSbZkE+Hoy/ulG3HlbWbNjiYhIAVOhRW66hGVzuG31IPwtWRywhuHZcQE1q9Q0O5aIiIi4idSMbPrN2kTcvlNYLTCiZS266ShTERERuUFfJxzhhc+3kpXr4NayxZjepTHhZXQ6UhERd6RCi9w0hsPBujmv0WT3WKwWg20+jajYdwGBJcuYHU1ERETcxP6T6fSI3cC+k+kU8/bgw6cbcm+NYLNjiYiISCHmcBj894ckJq7cC8A91csyrn1DAnx1OlIREXelQovcFDnZWWye3IOmp78FC6wr3YpGfabi5e1jdjQRERFxE3F7T9F3Vjxp53O4JciPj7pGUiMkwOxYIiIiUoidzcxh0NwElu86DkDfu25laEx1PKyaKSsi4s5UaJF8l3b6BIemtKVJVgJ2w8KG6v8mqt1LWKw6B7qIiIgUjHkbDvKfhYnkOgwahAUxrXMkZUvogA8RERG5fr+fTKfnzI3sOX4Ob08r77SpR6uGt5gdS0REXIAKLZKvDu9JxDHnSeo4jpBu+LLnrnE0vbed2bFERETETdgdBu8s2cWUn/cB8Ej9UN5tWw9fLw+Tk4mIiEhhtnr3SfrP2UTa+RyCA3yY2imS+mFBZscSEREXoUKL5Jsdcd8TurQnQZwjmTJkPDGH+nWizI4lIiIibiI9K5dB8xJYtiMFgEHNq/HcfdW06L2IiIhcN8MwiF3zO28s3on9j5myUztFUC7A1+xoIiLiQlRokXyx4avx1N88Em+Lnd88b6NU98+pElrJ7FgiIiLiJo6lnadH7EZ2HLPh7Wnl3bb1eKyBTuUhIiIi1y8r187Ir7Yzb+MhAFo3uoW3Hq+rmbIiIvIXKrTIDXHY7az7aDDRR2eABTYVv5Oa/ebgV6yE2dFERETETWw9nErPGRs5fjaLMsW9mdIpkohKJc2OJSIiIoXYibNZ9JsVz8YDZ7Ba4KWHatLjjnDNlBURkctSoUWu2/n0s+yc+DTR6T8DEHdLN6K6v4fVQ0d2iIiISMH4btsxhsxPIDPHQfXgEnzUNZIKJf3NjiUiIiKFWOKRNHrP3MjRtExK+HryYfuG3F29nNmxRETEhanQItfl5NEDnPm4DY1yd5NteLCl4etEt+pvdiwRERFxE4ZhMHHlXt5dmgTA3dXL8mH7hpTw9TI5mYiIiBRmi7Ye5d8LtpCZ46BKmWJM6xLJrWWLmx1LRERcnNXsAFL47N22FvvUe6iWu5szlGDPg3NorCKLiIi4mJ9//plHHnmE0NBQLBYLX331VZ79hmEwcuRIypcvj5+fH82bN2f37t152pw+fZoOHToQEBBAUFAQPXr04Ny5c3nabN26lX/961/4+voSFhbGO++8c7MfmtvLyrXz/IItziJLt2aVmd45UkUWERERuW4Oh8F/lyYxYM5mMnMc3HlbWRb2b6Yii4iIXBUVWuSaJPz4GeU/f5RgTnHAWoGMzkup1fQBs2OJiIj8RXp6OvXr12fChAmX3f/OO+/wwQcfMHnyZNatW0exYsWIiYkhMzPT2aZDhw5s376dZcuWsWjRIn7++Wd69+7t3G+z2WjRogWVKlUiPj6ed999l1dffZWpU6fe9Mfnrk6nZ9Nx+jq+3HQED6uF11vV4ZVHauPpoWGtiIiIXJ9zWbn0mRXP+J/2AND7zip80rUxgX46iENERK6OPpHKVTEcDtbOHkW9X/rhb8ki0acBQQNWckuV2mZHExERuawHH3yQN954g8cff/wv+wzDYOzYsYwYMYLHHnuMevXqMXPmTI4ePeqc+bJz506WLFnC9OnTiYqK4o477uDDDz9k7ty5HD16FIDZs2eTnZ3Nxx9/TO3atWnXrh3PPvssY8aMKciH6jb2HD9Lqwm/suH3M5Tw9SS2W2M6Na1kdiwREXFDo0ePpnHjxpQoUYJy5crRqlUrkpKS8rS5++67sVgseS59+/bN0+bgwYO0bNkSf39/ypUrx9ChQ8nNzc3TZuXKlTRq1AgfHx+qVq1KbGzsX/JMmDCBypUr4+vrS1RUFOvXr8/3x1xUHTyVQeuJv7JsRwrenlbee6I+Lz1UEw+rFr0XEZGr59KFlqsZuGRmZtK/f39Kly5N8eLFadOmDSkpKSYlLppysrNYP6ErTXePwWoxWFfqUao//wOBpcqaHU1EROS67N+/n+TkZJo3b+7cFhgYSFRUFHFxcQDExcURFBREZGSks03z5s2xWq2sW7fO2ebOO+/E29vb2SYmJoakpCTOnDlzxfvPysrCZrPlucjf+2X3CR6fuIaDpzOoWMqfhc/czr+qaSwiIiLmWLVqFf3792ft2rUsW7aMnJwcWrRoQXp6ep52vXr14tixY87LpacYtdvttGzZkuzsbNasWcOMGTOIjY1l5MiRzjb79++nZcuW3HPPPSQkJDBo0CB69uzJ0qVLnW3mzZvHkCFDeOWVV9i0aRP169cnJiaG48eP3/yOKOTW7D3JoxNW81vKOcqV8GFe76a0iahgdiwRESmEXLrQcjUDl8GDB/Ptt9+yYMECVq1axdGjR2ndurWJqYuWtFMpJL3XgqhTX+MwLKytNoQmA2bg5e1jdjQREZHrlpycDEBwcHCe7cHBwc59ycnJlCtXLs9+T09PSpUqlafN5W7j0vu4nNGjRxMYGOi8hIWF3dgDKuI+XXuArp9s4GxmLk0ql+Kr/s2oWq6E2bFERMSNLVmyhK5du1K7dm3q169PbGwsBw8eJD4+Pk87f39/QkJCnJeAgADnvh9++IEdO3Ywa9YsGjRowIMPPsjrr7/OhAkTyM7OBmDy5MmEh4fz3nvvUbNmTQYMGEDbtm15//33nbczZswYevXqRbdu3ahVqxaTJ0/G39+fjz/+uGA6oxAyDIOZcb/T6aP1pGbkUL9CIN8MuIOGFUuaHU1ERAoply60/NPAJS0tjY8++ogxY8Zw7733EhERwSeffMKaNWtYu3atyekLvwNJCZwdfxd1shJIN3zZesdEmnZ4BYvVpf/ZiIiIuLzhw4eTlpbmvBw6dMjsSC4p1+7g1W+28/JXidgdBq0b3cKnPZtQqpj3P19ZRESkAKWlpQFQqlSpPNtnz55NmTJlqFOnDsOHDycjI8O5Ly4ujrp16+Y5aCMmJgabzcb27dudbS6dgXuxzcUZuNnZ2cTHx+dpY7Vaad68ubPN5bjz7NrsXAcvLUxk5NfbsTsMWjUIZV6faEICfc2OJiIihZin2QGuxZ8HLvHx8eTk5OQZUNSoUYOKFSsSFxdH06ZNL3s7WVlZZGVlOf92pwHF1dq26ksq/dSfADJIpiwZT8ymQZ0os2OJiIjki5CQEABSUlIoX768c3tKSgoNGjRwtvnzKTdyc3M5ffq08/ohISF/OWXpxb8vtrkcHx8ffHw0O/TvnM3MYeBnm1mZdAKAFx6oTr+7bsVi0fnSRUTEtTgcDgYNGkSzZs2oU6eOc/vTTz9NpUqVCA0NZevWrQwbNoykpCS+/PJL4Opmxl6pjc1m4/z585w5cwa73X7ZNrt27bpi5tGjRzNq1Kjrf9CF1MlzWTwzaxPrfz+NxQLDHqhBnzuraHwhIiI3rNBMTbjcwCU5ORlvb2+CgoLytL30tB+Xo9N1XJnhcLBu7mhqruhBABns8qqFV7+VVFGRRUREipDw8HBCQkJYvny5c5vNZmPdunVER0cDEB0dTWpqap5TgKxYsQKHw0FUVJSzzc8//0xOTo6zzbJly6hevTolS+rUE9fr0OkM2k6KY2XSCXy9rEzq0Ihn7q6qL0FERMQl9e/fn8TERObOnZtne+/evYmJiaFu3bp06NCBmTNnsnDhQvbu3WtS0v9xx9m124+m8dj4X1n/+2lK+HjycZfG9NVBHCIikk8KzYyWiwOX1atX3/BtDR8+nCFDhjj/ttlsKrZwYdH7TVN6E3XqK7DAhsAY6vWLxcfX3+xoIiIi1+zcuXPs2bPH+ff+/ftJSEigVKlSVKxYkUGDBvHGG29QrVo1wsPDefnllwkNDaVVq1YA1KxZkwceeIBevXoxefJkcnJyGDBgAO3atSM0NBS4cKTqqFGj6NGjB8OGDSMxMZFx48blOW+6XJv4A2foPXMjp9KzKVfCh+ldIqlXIcjsWCIihYNhgOEARy447GDY//jd8cfvf/x98fe/tLXn/f2frv/nth4+0KC92b1QoAYMGMCiRYv4+eefqVDh7xdRv3igxp49e7j11lsJCQlh/fr1edr8eWbslWbPBgQE4Ofnh4eHBx4eHpdto9m1//PdtmM8P38L53PshJcpxrTOkVQtV9zsWCIiUoQUikLLlQYuISEhZGdnk5qammdWiwYU1y7tVAqHpj5JVFYCDsPC+lsHEtVxlNZjERGRQmvjxo3cc889zr8vHmTRpUsXYmNjeeGFF0hPT6d3796kpqZyxx13sGTJEnx9/3d+7tmzZzNgwADuu+8+rFYrbdq04YMPPnDuDwwM5IcffqB///5ERERQpkwZRo4cSe/evQvugRYhXyccYejnW8nOdVCrfAAfdY2kfKCf2bFExAz5Vhi4gSLCP92Xs+3l7svxp9u60vUdl7nfy7W9ytyGw9znrVhZtym0GIbBwIEDWbhwIStXriQ8PPwfr5OQkADgPG1pdHQ0b775JsePH6dcuXLAhZmxAQEB1KpVy9nmu+++y3M7y5Ytc87A9fb2JiIiguXLlzsPFnE4HCxfvpwBAwbkx0Mt1BwOg7HLd/PB8t0A/KtaGca3b0Sgv5fJyUREpKixGIZhmB3iSv48cKlWrVqe/WlpaZQtW5bPPvuMNm3aAJCUlESNGjX+do2WP7PZbAQGBpKWlkZAQEC+Pw5Xd/C3BKyftaOCcYx0w5fdd7xPg/ufNjuWiIiYzN3fHwuSu/e1YRiM/XE34/74EuT+WsGMfaoBxXwKxTFBIgXL4YDss5CZBpm2P36mQU7GNcxkuNEixDUWEfLc12UKC5e7X7k5LFaweoLFA6we//vp/N0TrNZLtl9sa71k/+Wu98dPvyB4fHK+xXXl98dnnnmGOXPm8PXXX1O9enXn9sDAQPz8/Ni7dy9z5szhoYceonTp0mzdupXBgwdToUIFVq1aBYDdbqdBgwaEhobyzjvvkJycTKdOnejZsydvvfUWcGFGbp06dejfvz/du3dnxYoVPPvssyxevJiYmBgA5s2bR5cuXZgyZQpNmjRh7NixzJ8/n127dv1l7ZYrceW+vl7pWbkMmZ/A0u0XZvv0vCOcFx+sgaeHDigVEZGrcy3vjy796bV///7OgUuJEiWc665cHLgEBgbSo0cPhgwZQqlSpQgICGDgwIFER0dfdZHF3W37eSGVVjyjRe9FRETEFJk5doZ+vpVvtxwFoM9dVRgWUwOrVedLlyIqN+t/BZKstP8VSpzbbH8toly6LcsGuOyxcgXn0mKB1fOPAoLHn4oI1n8uDPxdYeFvCxJ/ut+/FCGsV86Yp+3lcv/Dff3jY/yb+9JaFPlm0qRJANx99915tn/yySd07doVb29vfvzxR8aOHUt6ejphYWG0adOGESNGONt6eHiwaNEi+vXrR3R0NMWKFaNLly689tprzjbh4eEsXryYwYMHM27cOCpUqMD06dOdRRaAp556ihMnTjBy5EiSk5Np0KABS5YsueoiS1F06HQGvWZuZFfyWbw9rLz5eB2eiNQp40VE5OZx6RktV1qQ7OLABSAzM5Pnn3+ezz77jKysLGJiYpg4ceLfnjrsz4rikRtXY928t4nY8X94Whzs8qpF2Z4LKB389+eUFRER9+Gu749mcNe+Pn42k94z40k4lIqn1cKbj9fhqcYVzY4lcmUOB2Sf+5tiSOplCiZ/KqLkZuZPFg9v8A0En4ALP72L/XNh4W9nJ1zNTIfrLAz800yIay5C6Gh0d+Gu749mKEp9vXbfKZ6ZvYnT6dmUKe7DlE4RRFQqaXYsEREphIrMjJarqQH5+voyYcIEJkyYUACJigYtei8iIiJm23nMRs8ZGzmSep4gfy8mdYgg+tbSZseSoi43+08FkMvMILlsEeXiz7P5twaGd4kLBRLfPwollxZNLm7L83dQ3m1evv94FyIi7mbW2gO8+s12ch0GdW8JZGrnCK33JiIiBcKlCy2S/7TovYiIiJhtxa4UBs7ZTHq2nSplivFR18aElylmdixxdYYB2elXmC2S+jcFk0u25Z7PnyxWz8sURy4piPy5YPLnoolPwIXZGSIiki9y7A5GfbudWWsPAvBo/VDeaVsPXy+91oqISMFQocWNHPwtActn7aljHCXD8OG3O8bSVIvei4iISAExDIOPf/2dNxfvwGFAdJXSTOrYiCB/b7OjSUGw5/719Fp/O6Pkz7NObBcWSs8P3sUvUyC50oySoL9u8/LTWhciIi7idHo2/WbFs27/aSwWGBpTnX533XrF09GLiIjcDCq0uIkLi973J4B0LXovIiIiBS7H7uCVb7YzZ92FI03bNQ7j9VZ18PLQrNpCw54D51MvFErOn7lCMeRvZpTkpOdPDovHFWaLBF25YHLpNp8A8NDHIBGRomDnMRu9Zm7k8JnzFPfxZFy7BtxXM9jsWCIi4ob0CcMN/HnR+zI95lMlJMzsWCIiIuIm0jJyeGZOPL/uOYXFAv95qCY97gjXkaZmcNgvFD7On/mjYJKa9/eLRZTzqf9rd3F79rn8yeDlf4VTbl1mTZLLtfHy12wSERFhSWIyQ+YnkJFtp1Jpf6Z3jqRacAmzY4mIiJtSoaUIy8nOYtPUvkSd/PKPRe9bULdvLL5+Oge6iIiIFIzfT6bTfcYG9p1Ix9/bgw/aNaR5LR1pekMM48Jskb8URv7u9z8uWWk3fv8+AeAX9EfxI+gfFnG/dNsfv3t43XgGERFxWw6HwYcr9vD+j78BcEfVMox/uqFORSoiIqZSoaWISjt9gkNT2joXvV9360CaatF7ERERKUDr9p2iz6x4UjNyKB/oy0ddGlMrNMDsWK7BMCAn468zSq7m98y0G1+rxKvYH8WSIPArecnvQZfZ/sdPv5I67ZaIiJgqIzuXfy/YwnfbkgHoentlRrSsiadORSoiIibTp6Qi6NDuLTCnnXPR+6RmY4hu0dHsWCIiIuJGFmw8xEsLt5FjN6hfIZBpnSMpF+Brdqz853BA+olLCiFXM7vkj98dOTd23x4+lymSlPzn332DwFNH/YqISOFy+EwGvWbGs/OYDS8PC2+2qsuTjXVadBERcQ0qtBQx237+mkor+jkXvU9vO4uGdZuaHUtERETchMNh8O4PSUxauReAlnXL898n6uPn7WFyshuUcRpO7YVTe+DU7j9+7r1wyT1//bdr9by6wkiegsofv3v53eijEhERKRTW7z9Nv1nxnErPpkxxbyZ3jCCycimzY4mIiDip0FKE5Fn03rMmZXou4FYtei8iIiIFJCM7l8HzEli6PQWAgfdWZXDz27BaC8nC5Tnn4fT+PxVS9sDJ3XD+9N9c0ZJ3VsmVCiOXO02Xd3Et7C4iIvI3Plt/kJe/SiTXYVA7NICpnSO5JUgHG4iIiGtRoaUIyM3JJn5KHy16LyIiIqZJTsuk58wNJB6x4e1h5f/a1uXxhhXMjvVXDjukHf6jmHJxhsoeOLkH0g4BxpWvWyIUSt8KZapB6ar/uwRV0rolIiIi+SzH7uD1RTuYGXcAgJb1yvPftkVglqyIiBRJ+kRYyKWfTWXPxCeIOr9ei96LiIiIKRKPpNFjxgZSbFmUKubN1E4mn87DMCDj1P+KKBdnpZzaC6f3gT3rytf1CYQylxRRSt8KpatBqSrgU7zgHoOIiIgbO5OezTOzNxG37xQAQ2Oq88zdt2LRLFAREXFRKrQUYieO/k7aR62pb9/LecObnbePITqmk9mxRERExI0sSUxm8LwEzufYqVauOB91aUzF0v4Fc+fZ6RcKJyf/NDvl1G7ITLvy9Ty8LxROLi2kXCysFCujU3mJiIiYKCn5LD1nbuDQ6fMU8/bg/aca0KJ2iNmxRERE/pYKLYXU/u3r8FvwNFU5yWkCOPHIDBpF3mt2LBEREXEThmEwedU+/m/JLgDuvK0s459uSICvV/7fWU4mHN0ERxPyzlKxHfn76wWG5T3F18XCSlBFsOq0IyIiIq7mh+0XDuBIz7ZTsZQ/0zpHUj2khNmxRERE/pEKLYXQtp+/pvLyPpSwnOeg9RY8On5B9So1zY4lIiIibiI718F/Fm5jQfxhADpHV2Lkw7Xw9MinU5dmnYVD6+HAmguXIxvBnn35tn4lL5mRcsn6KaWqgJcWyhURESkMDMNgwk97+O8PvwEQXaU0Ezs0omQxb5OTiYiIXB0VWgqZ9Qs/oGHCq3hZ7Ozwrsstfb4gsHSw2bFERETETZxJz6bPrHjW7z+N1QKvPFKbLrdXvrEbzTgNB9fCgV8vFFaObQHDnrdN8WCo0BjKVs87Q8XfxLVgRERE5IZlZOcy9POtLN56DIAu0ZUY8XAtvPLrAA4REZECoEJLIWE4HKz7+N80PfwRWGBjQHPqPvMpPr4FdA50ERERcXt7T5yje+wGDpzKoLiPJ+Ofbsjd1ctd+w2dTf5fUeVAHBzf/tc2QRWhUjOodPuFn6WqaO0UERGRIuZI6nl6z9zI9qM2PK0WXnusDk9HVTQ7loiIyDVToaUQyMrMYNvEzjS1LQMgrkJ3mnZ/D4tVR3eIiIhIwfh1z0n6zYrHlplLhZJ+fNy1MbcFX8U50w0DUg/8UVT5o7hyet9f25Wp/kdR5XaoGA1BYfn/IERERMRlbPz9NH1nxXPyXDalinkzuWMETcI1U1VERAonFVpcXNrpExye3JrI7K3kGlY21XuF6DaDzI4lIiIibmTOuoO8/HUidodBRKWSTOkUQZniPpdvbBhw8rdLZqysucyi9RYIqfu/GSsVo6F42Zv+OERERMQ1zNtwkBFfJZJjN6hZPoBpnSOoUFJn7BARkcJLhRYXdvT3JHJmtqG24xDnDD/23zuRJne1NjuWiIiIuAm7w+Ct73by0er9ALRqEMrbberh6+WRt6FhwL6fID4Wfl8NGafy7rd6QWjD/50GLKwJ+AUVyGMQERER15Frd/DG4p3ErvkdgAfrhPDek/Xx99bXUyIiUrjpncxF/bZpFaW/6UQoaaRQmvQnPqNunSizY4mIiIibOJeVy3OfbWb5ruMAPH//bQy4tyqWS9dJsefCjq/g17GQvO1/2z39IKzx/2as3BIJ3jpKVURExJ2lZmTTf84mft1z4YCMwc1vY+C9VbFatQabiIgUfiq0uKDNP8yixq+D8bNks9ejCiW6f0mVW8LNjiUiIiJu4kjqeXrEbmBX8ll8PK2892R9Hq4X+r8G2emw6VOImwBpBy9s8/KHRp2hThso3wA8vU3JLiIiIq7nt5Sz9Jq5kQOnMvD39mDMkw14oE6I2bFERETyjQotLmbtZ2/RZNc7WC0GW3wbc+szCygeUNLsWCIiIuImEg6l0nPGRk6ey6JMcR+md4mkQVjQhZ3nTsD6qbBhGpw/c2Gbfxlo2hcie4C/FrAVERGRvH7ckcKgeQmcy8qlQkk/pnWOpGb5ALNjiYiI5CsVWlxE5vl0tk7rQ9PT34IF1pV+jIi+0/H00tGgIiIiUjAWbT3K8/O3kJXroEZICT7q2phbgvzg1F6IGw8JcyA380LjUlXg9oFQvz14+ZkbXERERFyOYRhMWrWXd5cmYRgQFV6KSR0jKFVM33OIiEjRo0KLCzh2IIlzn3agSe5uHIaF9VWfJarDq1isVrOjiYiIiBswDIMPV+xhzLLfALivRjnGtW9I8RNb4IdxsOMbwLjQ+JYIaDYIarQEq4dpmUVERMR1nc+2M+yLrXyz5SgAHZtW5JVHauPloe85RESkaFKhxWTbfl5IhRUDKc9ZzlCCw/d+QNO7WpsdS0RERNxEZo6dF7/YylcJF74I6dmsMsNvO4zHnMfgwOr/NawWA82eu7C4vUWL1oqIiMiVPTM7np+STuBptfDKo7Xp1LSS2ZFERERuKhVaTOKw21n/6cs02T8Rq8Vgt2c1ineaTd1K1c2OJiIiIm7i5Lks+nwaT/yBM3haLUxrZuOeg30gftuFBlYvqPvEhVOEBdcyN6yIiIgUGv3vqcqOYzbGtWtI0yqlzY4jIiJy06nQYoK0MyfZN60TTTPWgAXWl3yYer2n4utXzOxoIiIi4iaSks/SY8YGDp85T6TvYaaV/5aSG365sNO7BER2hah+EHiLqTlFRESk8ImsXIpVQ+/B10unGRUREfegQksB2799HV6fd6GhcYwsw4st9f5DkzaDzY4lIiIibmRl0nEGzNlM8awUJhf/kpjclViOGRdmsDTpDXf+G/xLmR1TRERECjEVWURExJ2o0FKANn47hdobR+BnySaZspxt9TFNGt5pdiwRERFxIzPW/M57326gr8e39Pb9Hu/c7As7areG+0ZCqXBzA4qIiIiIiIgUMiq0FADD4WDd1AE0TZ4NFtjqG0FYj9mElC1vdjQRERFxE7l2B298uxX7hk9Y4f0lZSy2Czsq3g4tXocKkeYGFBERERERESmkVGi5yfIUWYC4Ct1p0vVdPDzV9SIiIlIwbJk5jP7kC7oee53qXocBMEpXxXL/a1D9IbBYTE4oIiIiIiIiUnjp2/6bbO0nLxD9R5FlfZ1XiG47xOREIiIi4k4Onkxn/vS3GXl+Mn7WbLJ8SuFz30tYIrqCh5fZ8UREREREREQKPRVabqK1M18m+tC0C7/fNpSmKrKIiIhIAYrffYhjc57h38bPYIGzFe6iRPuPoVgZs6OJiIiIiIiIFBkqtNwk6+aOpum+DwCICx9A9NMjTE4kIiIi7uTHlT8R/tMzRFiOYsdKxh0vUuLeoWC1mh1NREREboIJEybw7rvvkpycTP369fnwww9p0qSJ2bEKD8PI+xPjik1NZ+R3tpvwWPM9I7j0c+KubsrznOcObvLN38zbV/Yr3/xNvn3fgJt7+1egQstNsOHLcUTtehu4sCZLdJc3TU4kIiIi7sJwOFg6+z3u2vMOfpZsUj1K49d+JiWq3mF2NBEREblJ5s2bx5AhQ5g8eTJRUVGMHTuWmJgYkpKSKFeuXMEH+nUcbJkLhuOPi3HJ75f5G+OPL94u99Pxx3d+l9kHl/n90rZc3T4RESkaPLzh5ROm3LUKLfnMnptLiZ1zAVgb3J6m3d8zOZGIiIi4E4vFQoVTcfhZstkX2JTKPWdhLVHW7FgiIiJyE40ZM4ZevXrRrVs3ACZPnszixYv5+OOPefHFFws+0LnjcHxHwd+viIiISVRoyWcenp5UGPgdaxdNIKrdS1h0eg4REREpSBYLNft8wu4fp1Ot5WCdKkxERKSIy87OJj4+nuHDhzu3Wa1WmjdvTlxc3GWvk5WVRVZWlvNvm82Wv6EiukG1+8FivcLFcuEnlv/9jeUyP/+8j7+2uXSb83fyXueq9/25XRF1w4/vBq9/Q/dfxJ+bwuim/3+5ybd/U/Mr+5Vvvuj9X1ah5SYoHlCSplqTRUREREzi4RdItUeeNzuGiIiIFICTJ09it9sJDg7Osz04OJhdu3Zd9jqjR49m1KhRNy9UmaoXLiIiIm5ChziKiIiIiIiIiLiR4cOHk5aW5rwcOnTI7EgiIiKFWpEptEyYMIHKlSvj6+tLVFQU69evNzuSiIiIuBGNRURERMQMZcqUwcPDg5SUlDzbU1JSCAkJuex1fHx8CAgIyHMRERGR61ckCi3z5s1jyJAhvPLKK2zatIn69esTExPD8ePHzY4mIiIibkBjERERETGLt7c3ERERLF++3LnN4XCwfPlyoqOjTUwmIiLiPopEoWXMmDH06tWLbt26UatWLSZPnoy/vz8ff/yx2dFERETEDWgsIiIiImYaMmQI06ZNY8aMGezcuZN+/fqRnp5Ot27dzI4mIiLiFjzNDnCjsrOziY+PZ/jw4c5tVquV5s2bExcXd9nrZGVlkZWV5fzbZrPd9JwiIiJSNGksIiIiImZ76qmnOHHiBCNHjiQ5OZkGDRqwZMkSgoODzY4mIiLiFgr9jJaTJ09it9v/MngIDg4mOTn5stcZPXo0gYGBzktYWFhBRBUREZEiSGMRERERcQUDBgzgwIEDZGVlsW7dOqKiosyOJCIi4jYKfaHlegwfPpy0tDTn5dChQ2ZHEhERETeisYiIiIiIiIhI0VHoTx1WpkwZPDw8SElJybM9JSWFkJCQy17Hx8cHHx+fgognIiIiRZzGIiIiIiIiIiLurdDPaPH29iYiIoLly5c7tzkcDpYvX050dLSJyURERMQdaCwiIiIiIiIi4t4K/YwWgCFDhtClSxciIyNp0qQJY8eOJT09nW7dupkdTURERNyAxiIiIiIiIiIi7qtIFFqeeuopTpw4wciRI0lOTqZBgwYsWbLkL4vSioiIiNwMGouIiIiIiIiIuC+LYRiG2SHMZrPZCAwMJC0tjYCAALPjiIiIuAS9PxYc9bWIiMhf6f2x4KivRURE/upa3h8L/RotIiIiIiIiIiIiIiIiZlGhRURERERERERERERE5DoViTVabtTFs6fZbDaTk4iIiLiOi++LOsvozaexiIiIyF9pLFJwNBYRERH5q2sZi6jQApw9exaAsLAwk5OIiIi4nrNnzxIYGGh2jCJNYxEREZEr01jk5tNYRERE5MquZixiMXRoCA6Hg6NHj1KiRAksFsvftrXZbISFhXHo0CEtEFfA1PfmUd+bS/1vHnfve8MwOHv2LKGhoVitOtvozaSxSOGn58X16DlxPXpOXJMrPy8aixScK41FXPnfh5nUL1emvrky9c2VqW8uT/1yZQXVN9cyFtGMFsBqtVKhQoVruk5AQID+gZtEfW8e9b251P/mcee+19GjBUNjkaJDz4vr0XPievScuCZXfV40FikY/zQWcdV/H2ZTv1yZ+ubK1DdXpr65PPXLlRVE31ztWESHhIiIiIiIiIiIiIiIiFwnFVpERERERERERERERESukwot18jHx4dXXnkFHx8fs6O4HfW9edT35lL/m0d9L65I/y5dk54X16PnxPXoOXFNel7k7+jfx+WpX65MfXNl6psrU99cnvrlylyxbyyGYRhmhxARERERERERERERESmMNKNFRERERERERERERETkOqnQIiIiIiIiIiIiIiIicp1UaBEREREREREREREREblOKrSIiIiIiIiIiIiIiIhcJxVarsGECROoXLkyvr6+REVFsX79erMjFTmjR4+mcePGlChRgnLlytGqVSuSkpLytMnMzKR///6ULl2a4sWL06ZNG1JSUkxKXHS9/fbbWCwWBg0a5Nymvr+5jhw5QseOHSldujR+fn7UrVuXjRs3OvcbhsHIkSMpX748fn5+NG/enN27d5uYuGiw2+28/PLLhIeH4+fnx6233srrr7+OYRjONup7cSUaj9w8P//8M4888gihoaFYLBa++uqrPPuv5rXg9OnTdOjQgYCAAIKCgujRowfnzp3L02br1q3861//wtfXl7CwMN55552b/dAKpfwaFx48eJCWLVvi7+9PuXLlGDp0KLm5uXnarFy5kkaNGuHj40PVqlWJjY292Q+v0Jo0aRL16tUjICCAgIAAoqOj+f7775379ZyY73rH8Xpe5M+K2pjD1d5XXLV/zX4NcbV+yY/P6fk1PlywYAE1atTA19eXunXr8t13392cB30V8utzdFHoG1f6DPFP/VCQ3238Xb/k5OQwbNgw6tatS7FixQgNDaVz584cPXo0z20Uun4x5KrMnTvX8Pb2Nj7++GNj+/btRq9evYygoCAjJSXF7GhFSkxMjPHJJ58YiYmJRkJCgvHQQw8ZFStWNM6dO+ds07dvXyMsLMxYvny5sXHjRqNp06bG7bffbmLqomf9+vVG5cqVjXr16hnPPfecc7v6/uY5ffq0UalSJaNr167GunXrjH379hlLly419uzZ42zz9ttvG4GBgcZXX31lbNmyxXj00UeN8PBw4/z58yYmL/zefPNNo3Tp0saiRYuM/fv3GwsWLDCKFy9ujBs3ztlGfS+uQuORm+u7774z/vOf/xhffvmlARgLFy7Ms/9qXgseeOABo379+sbatWuNX375xahatarRvn175/60tDQjODjY6NChg5GYmGh89tlnhp+fnzFlypSCepiFRn6MC3Nzc406deoYzZs3NzZv3mx89913RpkyZYzhw4c72+zbt8/w9/c3hgwZYuzYscP48MMPDQ8PD2PJkiUF+ngLi2+++cZYvHix8dtvvxlJSUnGSy+9ZHh5eRmJiYmGYeg5Mdv1juP1vMifFcUxhyu9r7hq/5r9GuJq/ZJfn9PzY3z466+/Gh4eHsY777xj7NixwxgxYoTh5eVlbNu2rWA640/y63N0UegbV/kMcTX9UJDfbfxdv6SmphrNmzc35s2bZ+zatcuIi4szmjRpYkREROS5jcLWLyq0XKUmTZoY/fv3d/5tt9uN0NBQY/To0SamKvqOHz9uAMaqVasMw7jwH9HLy8tYsGCBs83OnTsNwIiLizMrZpFy9uxZo1q1asayZcuMu+66yzm4Ut/fXMOGDTPuuOOOK+53OBxGSEiI8e677zq3paamGj4+PsZnn31WEBGLrJYtWxrdu3fPs61169ZGhw4dDMNQ34tr0Xik4Pz5w8DVvBbs2LHDAIwNGzY423z//feGxWIxjhw5YhiGYUycONEoWbKkkZWV5WwzbNgwo3r16jf5ERV+1zMu/O677wyr1WokJyc720yaNMkICAhwPgcvvPCCUbt27Tz39dRTTxkxMTE3+yEVGSVLljSmT5+u58RkNzKO1/Mif+YOYw4z31dcsX9d4TXE1folPz6n59f48MknnzRatmyZ5/6joqKMPn363NiDvE758Tm6KPaNmZ8h/qkfzPxu43IFqD9bv369ARgHDhwwDKNw9otOHXYVsrOziY+Pp3nz5s5tVquV5s2bExcXZ2Kyoi8tLQ2AUqVKARAfH09OTk6e56JGjRpUrFhRz0U+6d+/Py1btszTx6C+v9m++eYbIiMjeeKJJyhXrhwNGzZk2rRpzv379+8nOTk5T/8HBgYSFRWl/r9Bt99+O8uXL+e3334DYMuWLaxevZoHH3wQUN+L69B4xFxX81oQFxdHUFAQkZGRzjbNmzfHarWybt06Z5s777wTb29vZ5uYmBiSkpI4c+ZMAT2awul6xoVxcXHUrVuX4OBgZ5uYmBhsNhvbt293tvnzuCcmJkb/r66C3W5n7ty5pKenEx0drefEZDcyjtfzIpdylzGHWe8rrtq/Zr+GuGK/5Mfn9PwaH7raa3B+fI4uqn1zKVfqB1f/biMtLQ2LxUJQUBBQOPvF85pau6mTJ09it9vzvGEABAcHs2vXLpNSFX0Oh4NBgwbRrFkz6tSpA0BycjLe3t7O/3QXBQcHk5ycbELKomXu3Lls2rSJDRs2/GWf+v7m2rdvH5MmTWLIkCG89NJLbNiwgWeffRZvb2+6dOni7OPLvQ6p/2/Miy++iM1mo0aNGnh4eGC323nzzTfp0KEDgPpeXIbGI+a6mteC5ORkypUrl2e/p6cnpUqVytMmPDz8L7dxcV/JkiVvSv7C7nrHhcnJyZd9zi7u+7s2NpuN8+fP4+fndzMeUqG2bds2oqOjyczMpHjx4ixcuJBatWqRkJCg58QkNzqO1/Mil3KHMYeZ7ytnzpxxuf51hdcQV+yX/Picnl/jwyv1n1mfSfPjc3RR7ZtLuVI/uPJ3G5mZmQwbNoz27dsTEBAAFM5+UaFFXFb//v1JTExk9erVZkdxC4cOHeK5555j2bJl+Pr6mh3H7TgcDiIjI3nrrbcAaNiwIYmJiUyePJkuXbqYnK5omz9/PrNnz2bOnDnUrl2bhIQEBg0aRGhoqPpeRMRFaFzoWqpXr05CQgJpaWl8/vnndOnShVWrVpkdy21pHC9y7fS+8j96DbkyfU6/Mn2OlvySk5PDk08+iWEYTJo0yew4N0SnDrsKZcqUwcPDg5SUlDzbU1JSCAkJMSlV0TZgwAAWLVrETz/9RIUKFZzbQ0JCyM7OJjU1NU97PRc3Lj4+nuPHj9OoUSM8PT3x9PRk1apVfPDBB3h6ehIcHKy+v4nKly9PrVq18myrWbMmBw8eBHD2sV6H8t/QoUN58cUXadeuHXXr1qVTp04MHjyY0aNHA+p7cR0aj5jral4LQkJCOH78eJ79ubm5nD59Ok+by93Gpfched3IuPBq+vtKbQICAnSE/hV4e3tTtWpVIiIiGD16NPXr12fcuHF6TkySH+N4PS9yqaI+5jD7fcXV+tdVXkNcrV8gfz6n59f48EptzOqb/PgcXVT75lKu1A+u+N3GxSLLgQMHWLZsmXM2CxTOflGh5Sp4e3sTERHB8uXLndscDgfLly8nOjraxGRFj2EYDBgwgIULF7JixYq/TP+KiIjAy8srz3ORlJTEwYMH9VzcoPvuu49t27aRkJDgvERGRtKhQwfn7+r7m6dZs2YkJSXl2fbbb79RqVIlAMLDwwkJCcnT/zabjXXr1qn/b1BGRgZWa963Qw8PDxwOB6C+F9eh8Yi5rua1IDo6mtTUVOLj451tVqxYgcPhICoqytnm559/Jicnx9lm2bJlVK9eXacN+5P8GBdGR0ezbdu2PB/SLn6Iu/jFSXR0dJ7buNhG/6+unsPhICsrS8+JSfJjHK/nRS5VVMccrvK+4mr96yqvIa7WL5A/n9Pza3zoaq/B+fE5uqj2zaVcqR9c7buNi0WW3bt38+OPP1K6dOk8+wtlvxhyVebOnWv4+PgYsbGxxo4dO4zevXsbQUFBRnJystnRipR+/foZgYGBxsqVK41jx445LxkZGc42ffv2NSpWrGisWLHC2LhxoxEdHW1ER0ebmLrouuuuu4znnnvO+bf6/uZZv3694enpabz55pvG7t27jdmzZxv+/v7GrFmznG3efvttIygoyPj666+NrVu3Go899pgRHh5unD9/3sTkhV+XLl2MW265xVi0aJGxf/9+48svvzTKlCljvPDCC8426ntxFRqP3Fxnz541Nm/ebGzevNkAjDFjxhibN282Dhw4YBjG1b0WPPDAA0bDhg2NdevWGatXrzaqVatmtG/f3rk/NTXVCA4ONjp16mQkJiYac+fONfz9/Y0pU6YU+ON1dfkxLszNzTXq1KljtGjRwkhISDCWLFlilC1b1hg+fLizzb59+wx/f39j6NChxs6dO40JEyYYHh4expIlSwr08RYWL774orFq1Spj//79xtatW40XX3zRsFgsxg8//GAYhp4TV3Gt43g9L/JnRXHM4UrvK67ev2a9hrhav+TX5/T8GB/++uuvhqenp/Hf//7X2Llzp/HKK68YXl5exrZt2wqmM/4kvz5HF4W+cZXPEFfTDwX53cbf9Ut2drbx6KOPGhUqVDASEhLyvCZnZWUV2n5RoeUafPjhh0bFihUNb29vo0mTJsbatWvNjlTkAJe9fPLJJ84258+fN5555hmjZMmShr+/v/H4448bx44dMy90EfbnwZX6/ub69ttvjTp16hg+Pj5GjRo1jKlTp+bZ73A4jJdfftkIDg42fHx8jPvuu89ISkoyKW3RYbPZjOeee86oWLGi4evra1SpUsX4z3/+k+fNXX0vrkTjkZvnp59+uuw4pEuXLoZhXN1rwalTp4z27dsbxYsXNwICAoxu3boZZ8+ezdNmy5Ytxh133GH4+PgYt9xyi/H2228X1EMsVPJrXPj7778bDz74oOHn52eUKVPGeP75542cnJw8bX766SejQYMGhre3t1GlSpU89yF5de/e3ahUqZLh7e1tlC1b1rjvvvucRRbD0HPiKq5nHK/nRf6sqI05XO19xZX718zXEFfrl/z4nJ5f48P58+cbt912m+Ht7W3Url3bWLx4cf4/4KuUX5+ji0LfuNJniH/qh4L8buPv+mX//v1XfE3+6aefCm2/WAzDMK5tDoyIiIiIiIiIiIiIiIiA1mgRERERERERERERERG5biq0iIiIiIiIiIiIiIiIXCcVWkRERERERERERERERK6TCi0iIiIiIiIiIiIiIiLXSYUWERERERERERERERGR66RCi4iIiIiIiIiIiIiIyHVSoUVEREREREREREREROQ6qdAiIiIiIiIiIiIiIiJynVRoERHTrFy5EovFQmpqKgCxsbEEBQWZmklERETch8YiIiIiYjaNR0SKBhVaRMQ0t99+O8eOHSMwMNDsKCIiIuKGNBYRERERs2k8IlI0eJodQETcl7e3NyEhIWbHEBERETelsYiIiIiYTeMRkaJBM1pEJN/cfffdDBw4kEGDBlGyZEmCg4OZNm0a6enpdOvWjRIlSlC1alW+//574K/TYy/n66+/plGjRvj6+lKlShVGjRpFbm4uAIZh8Oqrr1KxYkV8fHwIDQ3l2WefLYiHKiIiIi5IYxERERExm8YjIu5JhRYRyVczZsygTJkyrF+/noEDB9KvXz+eeOIJbr/9djZt2kSLFi3o1KkTGRkZ/3hbv/zyC507d+a5555jx44dTJkyhdjYWN58800AvvjiC95//32mTJnC7t27+eqrr6hbt+7NfogiIiLiwjQWEREREbNpPCLifiyGYRhmhxCRouHuu+/Gbrfzyy+/AGC32wkMDKR169bMnDkTgOTkZMqXL09cXByZmZncc889nDlzhqCgIGJjYxk0aJDzKI7mzZtz3333MXz4cOd9zJo1ixdeeIGjR48yZswYpkyZQmJiIl5eXgX+eEVERMS1aCwiIiIiZtN4RMQ9aUaLiOSrevXqOX/38PCgdOnSeY6kCA4OBuD48eP/eFtbtmzhtddeo3jx4s5Lr169OHbsGBkZGTzxxBOcP3+eKlWq0KtXLxYuXOicOisiIiLuSWMRERERMZvGIyLux9PsACJStPz56AmLxZJnm8ViAcDhcPzjbZ07d45Ro0bRunXrv+zz9fUlLCyMpKQkfvzxR5YtW8YzzzzDu+++y6pVq3QUh4iIiJvSWERERETMpvGIiPtRoUVEXFajRo1ISkqiatWqV2zj5+fHI488wiOPPEL//v2pUaMG27Zto1GjRgWYVERERIoijUVERETEbBqPiBQOKrSIiMsaOXIkDz/8MBUrVqRt27ZYrVa2bNlCYmIib7zxBrGxsdjtdqKiovD392fWrFn4+flRqVIls6OLiIhIEaCxiIiIiJhN4xGRwkFrtIiIy4qJiWHRokX88MMPNG7cmKZNm/L+++87BwtBQUFMmzaNZs2aUa9ePX788Ue+/fZbSpcubXJyERERKQo0FhERERGzaTwiUjhYDMMwzA4hIiIiIiIiIiIiIiJSGGlGi4iIiIiIiIiIiIiIyHVSoUVEREREREREREREROQ6qdAiIiIiIiIiIiIiIiJynVRoERERERERERERERERuU4qtIiIiIiIiIiIiIiIiFwnFVpERERERERERERERESukwotIiIiIiIiIiIiIiIi10mFFhERERERERERERERkeukQouIiIiIiIiIiIiIiMh1UqFFRERERERERERERETkOqnQIiIiIiIiIiIiIiIicp3+H69f9mFvRtO4AAAAAElFTkSuQmCC", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -983,26 +983,29 @@ } ], "source": [ - "fig, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=(20, 5))\n", + "fig, ((ax1,ax2), (ax3, ax4)) = plt.subplots(2, 2, figsize=(12, 10))\n", "\n", "first_batch = result_data.loc[:8]\n", "ax1.plot('miles', 'km', data=first_batch)\n", "ax1.plot('miles', 'result', data=first_batch)\n", - "ax1.set_title('[0:7]')\n", + "ax1.set_title('[0-7]')\n", "ax1.set(xlabel=\"miles\", ylabel=\"km\")\n", "\n", "second_batch = result_data.loc[8:16]\n", "ax2.plot('miles', 'km', data=second_batch)\n", "ax2.plot('miles', 'result', data=second_batch)\n", - "ax2.set_title('[8:15]')\n", + "ax2.set_title('[8-15]')\n", "ax2.set(xlabel=\"miles\", ylabel=\"km\")\n", "\n", "third_batch = result_data.loc[16:]\n", "ax3.plot('miles', 'km', data=third_batch)\n", "ax3.plot('miles', 'result', data=third_batch)\n", - "ax3.set_title('[16:23]')\n", + "ax3.set_title('[16-23]')\n", "ax3.set(xlabel=\"miles\", ylabel=\"km\")\n", "\n", + "ax4.set_visible(False)\n", + "\n", + "fig.legend([\"classical\", \"quantum\"], bbox_to_anchor=(0.75,0.4), fontsize=20)\n", "plt.savefig(get_image_path(\"miles_to_km_defiance.png\"))\n", "plt.show()" ] diff --git a/code/qram.ipynb b/code/qram.ipynb index 38024e0..f8b632d 100644 --- a/code/qram.ipynb +++ b/code/qram.ipynb @@ -14,7 +14,8 @@ "from qiskit.circuit.library import CHGate\n", "from qiskit_aer import AerSimulator\n", "from functools import partial\n", - "import numpy as np" + "import numpy as np\n", + "from utils import get_image_path" ] }, { @@ -594,7 +595,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 5, "id": "dd7f9f4f-5e6b-41a3-ab89-f7480b079f8b", "metadata": {}, "outputs": [ @@ -637,7 +638,7 @@ "" ] }, - "execution_count": 14, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -648,7 +649,7 @@ "mem.x(0)\n", "mem.cry(np.pi/3, 0, 1)\n", "mem.x(0)\n", - "display(mem.draw('mpl'))\n", + "display(mem.draw('mpl', filename=get_image_path(\"qrom_1.png\")))\n", "display(show_unitary(get_unitary(mem)))\n", "show_state(mem)" ] @@ -739,15 +740,15 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 8, "id": "9b06313c-3904-423e-ab0b-7ec72b34f053", "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAckAAAEvCAYAAAAuIjruAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuNSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/xnp5ZAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAiSUlEQVR4nO3deXQV9f3/8dfNvpAQCEsCAQKEgAETdov8BFFcQARFpLWgVkG/2qpUrdhaKa4FRHts1dalWnEpIIIKIu4KIiKBEJCwhC2QkNxAwpaNbPf+/kgTjckHstybuUmej3M4HmfmM/O+l5y8+CwzY3M6nU4BAIAavKwuAAAAT0VIAgBgQEgCAGBASAIAYEBIAgBgQEgCAGBASAIAYEBIAgBgQEgCAGBASAIAYEBIAgBgQEgCAGBASAIAYEBIAgBgQEgCAGBASAIAYEBIAgBgQEgCAGBASAIAYEBIAgBgQEgCAGBASAIAYEBIAgBgQEgCAGBASAIAYEBIAgBgQEgCAGBASAIAYOBjdQGAp0pMTKzX8Tk5OVqxYoUmT56sDh061KnNsGHDGlIagCZCTxJwkZycHP373/9WTk6O1aUAcBFCEgAAA0ISAAADQhIAAANCEnCRkJAQXXnllQoJCbG6FAAuYnM6nU6riwA8UX1XtzYEq1sBz0ZPEnCR4uJipaenq7i42OpSALgIIQm4yMGDB3Xdddfp4MGDVpcCwEV4mEAr43Q6pebW0/H3l81ms7oKnIXT6VRZUTP7uXITn0B+XlsSQrK1KS5W2dSbra6iXnzeWSQFBFhdBs6irKhYb/eebnUZHmHa/rfkG8TPa0vBcCsAAAaEJAAABgy3Ai7Sr18/bdq0yeoyALgQPUkAAAwIScBFDh06pFtvvVWHDh2yuhQALkJIAi5SVFSkHTt2qKioyOpSALgIIQkAgAEhCQCAASEJAIABIQm4SGRkpB599FFFRkZaXQoAFyEkz+L666+XzWbT66+/3qRt0Ty1bdtW48aNU9u2ba0uBYCLEJJnsW3bNknSwIEDm7QtmqcTJ05o2bJlOnHihNWlAHARQtKgoKBA+/fvl6+vr+Li4pqsLZqv7OxsLVy4UNnZ2VaXAsBFCEmDHTt2yOFwKC4uTn5+fk3WFgDgOQhJA4Zaz25tzlH5rXpHf9u/23iM36p3dM333zRhVfBoNpvibp+ga7/5u248+F9dv/lFDZ17k3wC/a2uDDBqESGZlpamhQsX6sorr1Tv3r0VHBysoKAgJSQkaP78+SopKam1XW5urh588EH16dNHAQEBiomJ0cKFC+V0OrV9+3ZJUkJCgsvaRkdHy2azaffu3Vq7dq0mTpyojh07ymaz6T//+Y8LvxHA8wx/7Dca/uhvdDI1Qxsffk1pH36nuBnjdekbf5R4STE8VIt4C8jjjz+u1157TcHBwerSpYv69++vo0ePavv27dq+fbsSExO1fPnyam2Sk5M1fvx4ZWVlKSgoSHFxccrMzNTs2bN1+PDhs/YGG9L25MmTOnTokAIDA7V06VI9+uijCg8PV3R0tLy8vBQfH++27wdNIygoSBdccIGCgoKsLsXjhMVG6bxbxylt9UZ9PfPpqu15h4/qF0/OUM9rRurge+strBCoXYvoSV5++eXasmWL8vLylJqaqk2bNiktLU2JiYnq3LmzVqxYoR9++KHq+GPHjmnChAnKysrSfffdJ7vdrqSkJNntds2bN08vvPCCEhMTJdUMyYa2TU5OliQVFxdr3rx5evHFF2W325WYmKisrCwNGjTIrd8R3K979+567rnn1L17d6tL8Tg9r/1/snl5aecrq6tt3/v25yotPKPe142yqDLg7FpESP7yl7/U4MGDZfvZkM3QoUN12WWXSZJSUlKqtt911106cuSI7r77bj3zzDMKCQmp2vfHP/5RAwcOVHFxsbp376527dpVO2dD21b2Lh0Oh/71r3/p9ttvl7e3tyTJy8tLXl7N86+isLxcOcXFtf5pbcrLy5Wfn6/y8nKrS/E4HQbGyFFerpyte6ttLy8u1fEdaeowsLdFlQFn1yKGW4uLi7Vy5UqtXbtWBw8eVF5enhwOh6Qfw7FylemOHTu0bNkytWvXTk8++WSt5xs+fLi2bt1aY06xMW0re5KXXHKJbrnllgZ/Vk/z2J4UPbYn5dwHtgJ79+7VTTfdpDfeeEP9+vWzuhyPEtS5nYqP58lRUlZjX6H9uDoP7ycvXx85SmvuB6zU7EPyiy++0C233KL09PSzHterVy9J0pIlS+R0OnXDDTdU6wX+lK+vr6SaQ62NaVsZkjfeeONZ66yvoUOHym631/n4QC8v7Rw4wmXXn9m9l67r0q3WfeM2rnXJNWJjY1X0v3/0NKUpU6bU6/ijR49KktasWaMtW7bUqc21115b77o8ka/TS3M13LjfO9Bf5SWlte4rL67Y7hPop5IWEJKxfWJVamv6n1eYRUREaPPmzQ1q26xD8vvvv9f48eNVWlqqGTNmaNq0aRowYIDatWsnHx8f7d69W+edd558fHx03nnnSZK++uorSdLYsWON5z1w4ICkmkHX0LalpaXauXOnJOmqq66q34c8B7vdriNHjtT5+CBvb2ngOQ+rs5g2bXRpx86uO2EtMjMzVWjBEGZBQUG9jq98j2RRUVGd29bn786T+dm8pbP8GJQXFcs3uPbH9Xn7V/zDsqyo9lXozU1mVqZKnAy5txTNOiT/9Kc/qaSkRPPnz9eDDz5YY//q1RWLBOLi4uTvX3EvVmWPs2fPnrWe88yZM1q/vmKV3c9DsqFtd+3apZKSEvXo0UMdO3as46erm4iIiHodH9gM5z67dOliSU8yODi4XsdXBmNgYGCd23bt2rXedXkiX6eXdJa/osLsE2obGyUvP58aQ65BEe11JvdUixlq7RLZhZ6kh6nv78mfarYhWV5ernXr1klSrXN8DodDb7/9tiRVWzmal5cnydxLePvtt3X69GmFhobWCMOGtq0canXHCtb6DiE4z5xR2dSbXV6HO6WmpsoWENDk161cpVxXu3fv1uLFizVu3Lg6z0k+++yzDajM85QWntHbvacb9+ck71PXiweqw6A+Ovr9rqrt3v6+aj8gWtkbdxnbNjepe1PlG9T0P69wj+bXrfifgoKCqlWEZ86cqbH/mWee0datWyVVD6fK1xht3LixRpvs7GzNmTNHkhQfH19jtWxD21aubOU2j5YtJiZGn3zyiWJiYqwuxeMc/GCDnA6H4m6rPt3QZ9pY+QYF6MCKdRZVBpxdsw3J0NDQqqGqJ598siowS0pKtHDhQs2ZM0c+PhUd5Z+GU+V84oIFC6pCVKoIsrFjxyorK0tS7Q8RaGhbd/Yk4Tl8fHyq5sNR3cndh7X7Px8r+qpfaMyrD6jPry/V0Lk3afgjN8u+IUUHVvAgAXimZhuSkvTnP/9ZkvTyyy+ra9euGjZsmDp16qQ///nPeu655+R0OmWz2aqF1uzZsxUeHq5jx45p6NChiouLU79+/TRw4EAdO3ZMI0ZUrPysLSQb2paeZOuQkZGh+++/XxkZGVaX4pE2/eV1JT6ySGGxUfrFX2eq56SR2vXaGn1+4zzJ6bS6PKBWzTok77zzTr388svq06ePjh8/rszMTE2YMEFbtmzR8OHDVV5erl69eik0NLSqTVRUlNavX68JEyYoODhYaWlpcjqdmjVrlpKTk6vmHWsLyYa0zcjIUG5urjp06KCoqCi3fh9NaXSHTiq5eqru622eeyu5eqrev+CiJqzKWvn5+frmm2+Un59vdSkeyelwKOWlVXrvoll6M/oGLRv8f0p8ZJHKCmtOlwCeotmPC91222267bbbat3nNPzrtF+/flq1alWt+376+DpXtI2KijLWAQDwbM26JwkAgDsRkgAAGBCSgIt07NhRs2bNcvkDIwBYp9nPSQKeIjw8XNOmTbO6DAAuRE8ScJHTp0/r888/1+nTp60uBYCLEJKAi2RmZuqhhx5SZmam1aUAcBFCEgAAA0ISAAADQhIAAANCEnARf39/9e3bt+rdpQCaP24BAVykZ8+eevPNN60uA4AL0ZMEAMCAkARcZM+ePRo5cqT27NljdSkAXISQBFzE6XSqtLSUt74ALQhzkq2Nv7983llkdRX1w0IYABYhJFsZm80mBQRYXQYANAsMtwIAYEBPEnCR6OhoLV68WF27drW6FAAuQkgCLhIQEKDevXtbXQYAF2K4FXCRrKwsPfHEE8rKyrK6lFbPJ5h5d7gGPUnARU6dOqWVK1dqypQpioyMtLqcZi2oS7iGzb1ZXS9OkGw2ZX+3U5v+8h9dsWyu8tOP6ePr5lYd+5usd7Vv6Vfa/+46DXxgqtr3j1butgNVx3S/cpj63zlJ7QdES06njqcc0o5/fqD0TxKrXXPKpn8qP/2Yvp/zmobNvVkdh/RRWVGJ9r+7VlueeEtePt4a9OAN6nnNSAW0C9Gx5H36bvZLOrX3SFN+NWhihCQAj+IXGqRx7z2m4C4dtOeNT3UyNUMRI+J0xfJH5BPgV2ub8ITe6nHVL5T69ufa987aqu19b75CI+bfppN7M7Ttb+9KkmJ+ebEuff1BbXjgRaW+9Xm18wRFttflS/+itA++1aHVG9VldIIG3DFRzjKHwvp2k3eAn354/n0FtA9R/zsn6pLXZuu9Ub+XuDe2xSIkAXiUAb+7RiHdO2v971/QvqVfSZL2LPpEwx/7jeJumyApo0abdv2665Opjyrrmx+qtvm1DdbQOdN1+mCWVo//k0rzi6rOdfVnCzVs7s1KW7lBJacLq9qE9ozUV7c9o0Mffldx7BufasInCzTgtxOV/ukWfTr10apji0/k64InblWX0fHK/HqbO74KeADmJAF4lO5XDlPR0RPav2xtte0/PP++sc3xHQerBaQkdRkVL9/gQO16dU1VQEpSaX6Rdr36kXzbBCryovhqbQoyc6sCstLRTbtl8/LSrtc+qrY9+/tdkiqCFS0XPUnAYNiwYfU6PioqSnPnztXYsWOZk2yEkO6dlbNtv5wOR7XtRUdPqvhkfq1tTh2ouViqTffOkqSTe9Jr7KvcFtKjc7Xt+elHaxxbcrKgYt/hoz/bXlGLf7uQWmtCy0BIAi4SGRmpRx55xOoyWqXyomKXnMdZ7qj3PpvN5pJrwzMx3ArAo+QdzlZozwjZvKr/egrsFCb/sDZ1P8+hbElSWN9uNfaFxXardgxgQkgC8CiHP0lUYKd26n396Grbz7/rmnqdJ2vdNpUWFOm8W8dVu2/SJzhA5906TqX5Rcpct90VJaMFY7gVgEfZ8cIH6nXtRbrw6TsUHt9LJ/ekK+LC/uo4NFZnck/V+Twlpwu1+fG3NGL+bZrw0TztW/q1pIpbQEJ7RWrDAy+qNK/w7CdBq0dIAvAoJacKtOaaORr2yM1Vvcns73bqk+se0RXL5p6jdXV7Fn2ioqMnNODOSUq4/3pJ0omUQ/rylgU6/HHiOVoDks3JG2IBNFJp4Rm93Xu6269T+VScnz5xx9NM2/+WfIN4LF5LwZwkAAAGhCQAAAaEJAAABizcAdBsvDv8t1aXgFaGniQAAAaEJAAABoQkAAAGhCQAAAaEJAAABoQkAAAGhCQAAAaEJAAABoQkAAAGhCQAAAaEJAAABjy71QJPP/208vPzde+996pt27ZWlwMAMOCly03s1KlTateunQICApSXlydvb2+rSwIaraleutwc8NLlloXh1iaWlJQkp9Op888/n4AEAA/HcGsTS0pKkiQNGjTI4kqApnX+3dcq/PxeCo/vpZAenZWffpRXX7UATqdTX23K0pKPD+jo8SL5eHupT49QzZzcV727hVpdXqPRk5SUn5+vp556SsOGDVO7du0UGBiowYMH68UXX9TPR6PT0tJks9kUGRlpPN+QIUNks9m0fv36qm3Lly+XzWbTH/7wB0nSSy+9JJvNVvXnr3/9q3s+HOAhhjw0TREjBygvza7iE3lWlwMX+HDtYcVds1yX3rZGryzfow++Oqzln6dp/qvbFXPVMo278xOlHWnef9etvie5bds2TZ48WQcOHFBgYKBiY2N16tQpJScn684779TGjRv1+uuvVx2/detWSeaeYGlpqXbs2CGbzaaEhISq7QUFBRo5cqS2bNmiM2fOaNCgQQoKCqraf+GFF7rnAwIe4t0Lfqv8w0clSZO++pt8g5m3a85e/yBVM+aul8NhXtby8bcZ+sX0Vfr6tfHq1zOs6YpzoVbdkzx48KCuuOIKHThwQLNmzVJWVpaSk5N18OBBffnllwoKCtKiRYv0/vvvV7WpDMmBAwfWes6UlBSVlJSoZ8+eCgkJqdp+0003ad26dfLyqvjKv/zyS61fv77qz8UXX+yujwl4hMqARPO3PsmumY+cPSArZecWadydnyi/sLQJKnO9Vh2St9xyi7Kzs3Xvvffq2WefrXY7xsUXX6w77rhDkrRkyZKq7cnJyZLMPcnKOcfaQjQ1NVWFhYXq0aOHwsLCXPMhAKCJzX9tu8rL635jRFpmvhZ/tN+NFblPqw3JdevWae3atQoLC9Pjjz9e6zGDBw+WVNHjrHSunmRlSP50qLVSZcCa2gKApzuYkaePvkmvd7t/vrOrxhqP5qDVhuTSpUslVfQmg4ODaz3Gz89PkhQQUDF3kpubq4yMDIWEhCgmJqbWNpUhSkgCaIk+23hEDcm65N3HlZ1b5PqC3KzVLtzZsGGDJOnSSy81HnPkyBFJUo8ePST9GIDx8fGy2Ww1jnc4HNq2bZuk2oPQHSE5dOhQ2e12l50PaAhfp5fmarjVZXiE2D6xKrU5rC7DbfICRkpBlzeobcLgEfJ15Lq4onOLiIjQ5s2bG9S21YZkZQB269bNeMy3334r6ceVp+eaj/z+++9VUFCgsLCwqmD9KXeEpN1ur/osgFX8bN5SZ6ur8AyZWZkqcZZbXYb7tD8mBZ37sNoczUqXyk64th43a7UhWTk2XlBQUOv+rKwsrVq1Sj4+Ppo8ebIkaefOnZKk/v3719rmv//9r6Tah1qzs7OVnZ2tsLAwRUdHN7b8KhERES47F9BQvk4vqeV2nuqlS2SXFt2TLPHO1zFJcjqlWkbUTLzLT6lz5zayNTRhG6ExvydbbUjGxMQoJydHSUlJGjFiRLV9DodDd9xxh4qLi3X77berU6dOkqSTJ09KUq1DrRs2bNCLL74oqfaQ3LNnjyQpNjbWlR+jwUMIgCvx7NYfpe5NbfHPbh12wwfanJJTrzZz7xmjOf93n5sqcp9Wu3Bn6tSpkqQFCxZU9RClih7k1KlTtXLlSsXFxWnBggVV+yp7gK+88opycyvG1R0Oh1asWKFJkyZVLfSpLSQrFwdlZGQYe69AS9ZryijF//46xf/+OgWEh8o3JKjq/3tNGWV1eaiH30+vfTTNJCjARzMn93VTNe7Vat8CUlJSojFjxmjDhg3y9vZWTEyM/Pz8tGvXLpWVlWno0KF67733FBUVVdVm+/btGjJkiMrKyhQQEKDo6GhlZ2fr1KlTeuyxx/TGG28oNTVVW7Zsqbp9pNKZM2fUt29fHT58WO3bt1dsbKy8vb01ffr0qvsxgeaqLj3JK5c/qogLa//lat+Qoo+vm+uO0ppca3gLiNPp1N3zvtMLS3ad81gfb5ve//tYXTWqexNU5nqtNiQlqbCwUPPnz9eSJUt06NAhhYSEKC4uTr/+9a81Y8YM+fr61mjz6aefas6cOUpJSVFwcLBGjRql++67T4MGDVJwcLC8vLyUn58vf3//Gm137typhx56SBs3btTRo0fldDr15ptvavp0hqnQvDHc+qPWEJJSRVA+8s+tmvfqNpWW1T4H26l9gN6ad7EuG9G1iatznVYdkgBcg5D8UWsJyUpHc4v06nupWrxmv1L2nZDDKfn5emnRE6M0eWy0/Hyb9ysBW+2cJACg8TqFB+pPMxO0fflkRXasWLnasV2AfjWud7MPSImQBADAiJAEAMCAkAQAwICQBADAgJAEAMCAkAQAwICQBADAgJAEAMCAkAQAwICQBADAgJAEAMCAkAQAwICQBADAgJAEAMDAx+oCADR/PoH+mrb/LavL8Ag+gTVfuI7mi5AE0Gg2m61VvWgYrQfDrQAAGBCSAAAYEJIAABgQkgAAGBCSAAAYEJIAABgQkgAAGBCSAAAYEJIAABgQkgAAGBCSAAAYEJIAABgQkgAAGBCSAAAYEJIAABgQkgAAGBCSAAAYEJIAABgQkgAAGBCSAAAYEJIAABgQkgAAGBCSAAAYEJIAgEZzOJxyOp2SVPXflsDmbEmfBgDQJA5n5evdzw5qc0qOtuzM1d7Dp/TTNBk+oKOGxIVrREInTb40WsFBvtYV2wiEJACgzj7feETPL96pVWvT5XDULT7ahvjpNxP76O5fx6l3t1A3V+hahCQA4JyOHS/S7/76nZZ9erDB5/D389Zjvx2s+28eIG/v5jHbR0gCAM5qzTfpuvnhdTp24oxLznfB+R217JlL1C2ijUvO506EJADAaMma/Zr+0FqVl7s2KrpHBuuLV8YrprtnD78SkgCAWq386pAm3/eFywOyUo8ubfTtognq2jnYLed3heYxKAwAaFIZ9gLd9PA6twWkJB3KzNfND6/z6FtGCEkAQDVOp1O3P7Zep/JK6tUucfFEpX/2KyUunljnNl98n6mX391T3xKbDCHZBHJycjR79mzFxMQoICBA3bp106xZs1RQUKAZM2bIZrPp+eeft7pMAJAkLfv0oNasz6h3u4gOQYrqHKyIDkH1aveHZzbp2PGiel+vKfhYXUBLl5ycrHHjxslutys4OFhxcXHKzMzUP/7xD+3fv1/Hjx+XJA0cONDaQgHgf/7+dkqTXi+/sFT/eX+vZt8a36TXrQt6km6Uk5Ojq6++Wna7Xffff7+ysrKUlJQku92uBQsWaPXq1UpMTJTNZlN8vOf9cABofZJ352pD8tEmv+6/3tml8nJHk1/3XAhJN7rnnnuUkZGhu+66S08//bRCQkKq9s2ePVsJCQkqKytTdHS0QkM9exk0gNbhzQ/3WXLdtMx8rd+abcm1z4aQdJNdu3Zp6dKl6tChg+bNm1frMUOGDJEkJSQkNGVpAGC06Ydjll07cUeOZdc2ISTdZPHixXI4HJo2bZratKn9qRKBgYGSCEkAnqG83KGtu3Mtu/7mndYFtAkh6SZffvmlJGnMmDHGYzIyKlaPEZIAPMHhrAIVFJVZdv2UfSctu7YJq1vd5NChQ5KkHj161Lq/rKxM3377raTGheTQoUNlt9sb3B4AKpV6d5La/q7WfYmLJ57z1o6IDoFV/03/7FfG4+w5hRp2w8oa23ftOaCoqKh6VFw3ERER2rx5c4PaEpJuUlBQIEkqKqr93p+lS5cqJydHISEh6tmzZ4OvY7fbdeTIkQa3B4Aq/k6pbe27Ku+BrAsfb686H/tT5WWlHvf7jJB0k4iICJ04cUJJSUkaMWJEtX1ZWVl64IEHJEnx8fGy2WyNug4AuEKZV5hM60vtOYXnbB/RIVA+3l4qK3fInmN+OIDpXD7eTnXu2rUupdZLY35PEpJuMnbsWO3atUsLFizQZZddptjYWElSYmKibrzxRuXkVKziauxDBBo6hAAAP+dwONX2wjeVX1haY19tw6M/l/7ZrxTVOVj2nCJ1u2xJva8/ZcIILX7qoXq3cycW7rjJ7NmzFR4ervT0dPXv31/nn3+++vTpo+HDh6tXr1665JJLJLFoB4Dn8PKyaVC/9pZdf0hcB8uubUJIuklUVJS++eYbXXXVVQoICFBaWprat2+vl156SatXr1ZqaqokQhKAZxk+oKOF1/a8kOR9khbIz89XaGiobDab8vLyFBRUv4cBA4C7bNuTq4HXv9+gtpXDrRnZBfUebu3ZNUT7Vl8vL6+Gr9FwB3qSFkhJSZHT6VSfPn0ISAAeJaFvuEYO6tzk171zaj+PC0iJkLTEDz/8IImhVgCe6d7p/Zv0eiHBvrr12tgmvWZdEZIWICQBeLLJY6M1YVS3Jrve3/5wgcLDAprsevVBSFqAkATgyWw2m176y0iFhfjVq509p1AZ2QV1uqey0hUXdtWMyZ7Zi5RYuAMAMPjom3RNmvWZysrcExM9u4bo2zcmKLKj567NoCcJAKjV+Iu6afH8MfL1cX1URHdpo89fudKjA1IiJAEAZzHl8p5a/cLl6hwe6LJzjhzUWesXTVCvKM9/2TzDrQCAc8o9eUb3zN+o/360v8HnCPD31l/vGap7fh0nb+/m0UcjJAEAdbZ2c5aeX7xT7315SOXldYuP9m39NePaWP32l+cpumuImyt0LUISAFBvR7ILtOKLNG3ZmastO3O0J+2USssckqQ2Qb5K6NteQ84L14iETpo0pocCA5rn+zQISQCAS5SVOeTlZfPIJ+c0FCEJAIBB85g5BQDAAoQkAAAGhCQAAAaEJAAABoQkAAAGhCQAAAaEJAAABoQkAAAGhCQAAAaEJAAABoQkAAAGhCQAAAaEJAAABoQkAAAGhCQAAAaEJAAABoQkAAAGhCQAAAaEJAAABoQkAAAGhCQAAAaEJAAABoQkAAAGhCQAAAaEJAAABoQkAAAGhCQAAAaEZCuwbt06TZo0ST169JDNZtMTTzxhdUkA0CwQkq1Afn6+4uLi9NRTTykiIsLqcgCg2bA5nU6n1UWg6URHR2vmzJl6+OGHrS4FADwePUkAAAwISQAADAhJAAAMCEkAAAwISQAADHysLgDul5+fr3379kmSSkpKZLfblZycrDZt2igmJsbi6gDAc3ELSCvw9ddfa8yYMTW2jx49Wl9//XXTFwQAzQQhCQCAAXOSqHLgcKZKy8qsLgMAPAYhCUnSqbwCvfrOR1r40lLl5RdaXQ4AeARCspFsNptsNpskadWqVbrooosUGhqqDh06aMqUKdq/f3/VsR9++KFGjx6tsLAwhYaGatKkSdq7d69VpVfz9cZklZc7FN4uVG2CA60uBwA8AiHpIi+88IImTpyoAwcOKCYmRoWFhVq+fLlGjx6tY8eO6dlnn9XVV1+tvXv3qlevXiorK9PKlSs1atQoHTt2zNLaT+UVaNO2XZKksSOHVIU+ALR2hKSLzJ49W4sWLdKRI0eUlJSkjIwMDRs2TEeOHNGtt96qhx56SIsWLVJmZqaSkpKUnp6uIUOGyG6365lnnrG09speZM9ukerVPdLSWgDAk7C6tZEqe1133323/vGPf1Tb9/HHH2vcuHHG/WvWrNH48eMVHx+vbdu2Nej6zy1aobz8oga1lSSn06G8gor2wYEB8vb2bvC5AMAThbQJ1N03T25QWx4m4CIzZ86ssW3w4MF12n/gwIEGXzcvv0in8wsa3P6nCorOuOQ8ANBSEJIu0rt37xrbOnbseNb9nTp1klTxRJyGCmnT8EU29CIBtAaN+T3JcGsjVQ63mr7Gxu53pw8++1bfJaWoZ7dI3X7DBBbsAMDPEJKNZHVINnROkl4kgNaCOclWzBVzksxFAkDtCMlmriFj7fQiAbQmzElayOrh1oZgLhIA6oaHCbQyPF0HAOqOkGxleLoOANQdc5KNdK5h0sbud7WQ4ED5+/nSiwSAOmBOshU6U1wifz9fQhIAzoGQBADAgDlJAAAMCEkAAAwISQAADAhJAAAMCEkAAAwISQAADAhJAAAMCEkAAAwISQAADAhJAAAMCEkAAAwISQAADAhJAAAMCEkAAAwISQAADAhJAAAMCEkAAAwISQAADAhJAAAMCEkAAAwISQAADAhJAAAMCEkAAAwISQAADAhJAAAMCEkAAAwISQAADAhJAAAMCEkAAAwISQAADAhJAAAMCEkAAAwISQAADAhJAAAMCEkAAAwISQAADAhJAAAMCEkAAAwISQAADP4/mJRxrD6aVY0AAAAASUVORK5CYII=", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -788,16 +789,6 @@ }, "metadata": {}, "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" } ], "source": [ @@ -806,7 +797,7 @@ "q = QuantumRegister(1,name=\"q\")\n", "result = ClassicalRegister(1, \"m\")\n", "\n", - "qc = QuantumCircuit(addr, out, q, result)\n", + "qc = QuantumCircuit(addr, out, q)\n", "\n", "qc.h(addr)\n", "\n", @@ -815,10 +806,10 @@ "\n", "qc.cx(out, q)\n", "\n", - "display(qc.draw('mpl'))\n", + "display(qc.draw('mpl', filename=get_image_path(\"qrom_1_usage.png\")))\n", "display(show_unitary(get_unitary(qc)))\n", "display(show_state(qc))\n", - "display(plot_histogram(measure(qc, qubits=[2])))" + "#display(plot_histogram(measure(qc, qubits=[2])))" ] }, { @@ -1384,7 +1375,15 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": null, + "id": "d9f74c89-8119-40a9-ad75-883ac49db5c1", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 22, "id": "6a7f016a-28c0-4df1-8be4-069c11f9f4d2", "metadata": {}, "outputs": [ @@ -1412,7 +1411,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -1422,7 +1421,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -1432,7 +1431,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -1442,7 +1441,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -1474,7 +1473,7 @@ "qram.cx(teleportation_provider, data)\n", "qram.cz(q, data)\n", "\n", - "display(qram.draw('mpl'))\n", + "display(qram.draw('mpl', filename=get_image_path('qram.png')))\n", "#display(show_unitary(get_unitary(qram)))\n", "display(show_state(qram))\n", "display(plot_histogram(measure(qram, qubits=[0])))\n", @@ -1503,6 +1502,236 @@ "source": [ "np.cos(np.pi/3/2)**2, np.sin(np.pi/3/2)**2" ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "c120a5b2-db26-4787-a0a6-5fe5bb669fbf", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAABt4AAAPzCAYAAAAwCHiBAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuNSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/xnp5ZAAAACXBIWXMAAA9hAAAPYQGoP6dpAADgFElEQVR4nOzdd3hUVf7H8c+kF0ISCCUkht6CCChFiiiKCoogCpZFUextZW3Y1rVX1HVX18Kq61oWFWyAsgiiUpTeCU0MJaRAIKTXmfn9wY+sSAKZYWbOzJ3363ny+Ji5554v853cc+Z+7z3X5nQ6nQIAAAAAAAAAAABwQkJMBwAAAAAAAAAAAABYAYU3AAAAAAAAAAAAwAMovAEAAAAAAAAAAAAeQOENAAAAAAAAAAAA8AAKbwAAAAAAAAAAAIAHUHgDAAAAAAAAAAAAPIDCGwAAAAAAAAAAAOABFN4AAAAAAAAAAAAAD6DwBgAAAAAAAAAAAHgAhTcAAAAAAAAAAADAAyi8AQAAAAAAAAAAAB5A4Q0AAAAAAAAAAADwAApvAAAAAAAAAAAAgAdQeAMAAAAAAAAAAAA8gMIbAAAAAAAAAAAA4AEU3gAAAAAAAAAAAAAPoPAGAAAAAAAAAAAAeACFNwAAAAAAAAAAAMADKLwBAAAAAAAAAAAAHkDhDQAAAAAAAAAAAPAACm8AAAAAAAAAAACAB1B4AwAAAAAAAAAAADyAwhsAAAAAAAAAAADgARTeAAAAAAAAAAAAAA+g8AYAAAAAAAAAAAB4AIU3AAAAAAAAAAAAwAMovAEAAAAAAAAAAAAeQOENAAAAAAAAAAAA8IAw0wEAgJUsX77cpe3z8/P1+eef65JLLlFSUlKD2vTp08ed0OAjrnwG3Mm/xGcAAAAAAPwV5wXAeQEA3PEGAAbl5+fr7bffVn5+vulQYAD5BwAAAIDgxvfC4Eb+AWui8AYAAAAAAAAAAAB4AIU3AAAAAAAAAAAAwAMovAEAAAAAAAAAAAAeQOENAAyKi4vTsGHDFBcXZzoUGED+AQDBaMeOHbLZbHrsscdMhwIAgHF8Lwxu5B+wpjDTAQBAMEtJSdETTzxhOgwYQv4BAAAAILjxvTC4kX/AmrjjDQAMqqys1O7du1VZWWk6FBhA/gEAAAAguPG9MLiRf8CaKLwBgEGZmZm69NJLlZmZaToUGED+AQAAACC48b0wuJF/wJoovAEAAACAH6ioqNBjjz2mzp07KyYmRgkJCerevbvuu+++I7abN2+ezjvvPCUkJCgqKkqnnHKK3nzzzTr3uXr1ao0dO1YtWrRQZGSkTjrpJF155ZXavn37Edu9/fbbOvXUUxUdHa34+Hidd955WrRo0VH7s9lsuvbaa/Xzzz/rzDPPVGxsrJo2baobbrhBJSUlR22/aNEiDRw4UNHR0WrRooXuuOOOOrcDAAAAAKvgGW8AAAAA4Aduv/12vfvuuxo/frzuvvtu1dTUaNu2bZo/f37tNlOmTNEtt9yi008/XQ8//LBiY2M1d+5c3Xrrrdq+fbsmT55cu+2sWbN06aWXKjY2VjfccIM6dOig3NxczZkzRxs2bFD79u0lSffff79eeOEF9e3bV88884yKi4s1ZcoUDRkyRF999ZUuuOCCI+Jcs2aNRowYoQkTJugPf/iDfvjhB73zzjsKCQnRlClTardbunSphg4dqri4ON1///1KSEjQxx9/rPHjx3v5nQQAAAAAcyi8AQAAAIAf+OKLLzR8+HD9+9//rvP1nJwc3Xnnnbriiiv0n//8p/b3t912myZOnKiXX35Zt956q9q1a6eysjJNmDBB8fHxWr16tVJSUmq3/8tf/iKHwyFJ2rJliyZPnqyBAwdq/vz5ioiIkCTdcMMNSk9P12233abt27crNDS0tv26dev0888/q1+/fpKkm2++WUVFRfrXv/6ll19+WY0aNZIk3XXXXXI4HFq8eLE6depUG+ugQYM8+K4BAAAAgH9hqUkAAAAA8APx8fHauHGjNmzYUOfr06dPV2Vlpa6//nrl5+cf8XPRRRfJ4XBo3rx5kqQ5c+YoPz9f99xzzxFFt8NCQg59Ffzqq6/kdDo1adKk2qKbJLVq1UoTJkzQzp07tXr16iPa9u/fv7bodtjZZ5+tmpoa7dixQ5K0d+9e/fzzzxo1alRt0U2SIiIidNddd7n+5gAAAABAgOCONwAwqEuXLlq2bJnpMGAI+QcA/NYrr7yiq6++Wt27d1e7du00ZMgQXXTRRbrooosUEhKiTZs2SZKGDh1a7z7y8vIkSdu2bZMk9erV65h9ZmZmSpK6det21GuHf/frr7+qd+/etb9v167dUds2bdpUkrR///7aNtKhse730tPTjxkTAADBhO+FwY38A9ZE4Q0AAAAA/MCoUaO0Y8cOffPNN/rxxx81b948vfPOOzrjjDM0b948OZ1OSdL777+v5OTkOvdRV1HM03677OTvHY4RAAAAAIIVS00CgEE7d+7Uddddp507d5oOBQaQfwDA7zVp0kRXXXWV/vnPf+rXX3/VpEmTtHDhQn311Vfq2LGjJCkpKUlDhw6t8+dw4e3w8o5r1qw5Zn+Ht9+4ceNRr2VkZByxjSvatm0rSdq8eXO9+wUAAHwvDHbkH7Am7ngDfCRvf7m++n6nVmzM18qMfG3bVaSyihqFhtiUEBehHp2b6NSuSRrYs4WGDUxVeDh18WBQXl6uDRs2qLy83HQoMID8B5eKyhp9vWC3lqzbp5UZ+Vq37YCKSqrllFMxUWHq0iZBp6U3VZ+Tm+nis1srsXGk6ZAB+JDdbldxcbESEhJqf2ez2WqXijxw4IAuu+wyPfTQQ3r00Ud11llnKTo6+oh9FBYWKioqSpGRkTrvvPOUlJSkl156SVdfffVRd8g5nU7ZbDaNHDlS999/vyZPnqzhw4crPDxckpSTk6N//etfat269XGXq6xLixYtdPrpp+urr77S1q1bawuBVVVV+utf/+ry/gArqKq265uFu/Xz2r1ambFf67YeUGFJlRxOp6Ijw9S5TbxOS09S7/QkXXx2ayUlRpkOGYAP8L0wuJH/4FJT49B/F2dp8Zo8rczI19otB3SwuEp2x6HzAh1OaqzT0puqd7dD5wVaNI0+/k7hlyi8AV7205o8vTY1Q9Pn7lB1jeOo1+12p/YeqNDcn7M19+dsSVKr5jG66dLOunlsF7VMivF1yAAAD9qVU6LXP9mkd77YqvyCijq3KSqp1rIN+7Rswz698elm3f7MT7pyeHvdcUVX9eqa5OOIAZhQXFys5ORkjRw5Ur169VLz5s2VmZmpN954Q4mJibrooovUqlUrvfHGG7rhhhvUtWtXXX311WrdurX27dun9evX68svv1RGRobatGmjmJgYvfPOOxozZoxOPvlk3XDDDerQoYP27dunOXPm6O6779aoUaPUuXNn3XfffXrhhRc0ePBgXX755SouLtaUKVNUUlKijz766JhLSx7Lyy+/rLPOOksDBw7U7bffroSEBH388ceqqanx8LsH+Lc9eaV6c9pm/fOzLcrbX/eJ1eKaaq3YmK8VG/P1lqQ7nv1Zl53XVndcma6+3Zv5NmAAAOBRufllmjJ9i96avlnZe8vq3Ka4tFqrN+/X6s379fbnW/XHZ3/WpUPb6I4r0zWwVwsfR4wTReEN8JKCokr96fklen/mLy63zd5bpsfeWK2XP9igl+/tp+tGd5LNZvNClAAAb7HbHfr7fzL00N9XqKLS7lLb8gq73v1iq979YqvuuDJdz07srUYx4V6KFIA/iImJ0Z/+9Cd99913mjdvnkpKSmoLcQ8++KBatWolSZowYYI6deqkF198UW+99ZYOHjyopKQkde7cWU8++aRatmxZu8+RI0dq0aJFeuaZZ/TOO++ouLhYLVq00BlnnKHu3bvXbvf888+rQ4cOev311/XAAw8oIiJC/fr103/+8x+dccYZbv+b+vfvr7lz5+qBBx7Qc889p/j4eI0ZM0a33nrrEf0DVuVwOPXWtM267+VlKi13reBcWWXXB7N+0QezftENl3TSS/f2U+NGEV6KFAAAeIPT6dS/vtymuyYvUVFJtUttq2sc+vi/v+rj//6qq0d00N8eOJ2VcQIIhTfAC75bkq2rH/5ROfvqvoKhoYpKqnXDY4s07dtMffjsWSw1AgABYnduia68/wctXp13wvt6bWqGvl6wW1OfP0v9TmnugegA+KOIiAg9++yzDdp24MCBGjhwYIO27du3r7788svjbnfjjTfqxhtvPO52Tqezzt9fe+21uvbaa4/6/eDBg/XTTz81eD+AVeTml+kP9/+g75fnnPC+3v58q+b8tEcfPnOmBvdOPn4DAABg3P6DFbr6oR81e1HWCe/rg1m/aN7SbP37qcE6t3+KB6KDt/EQKcDDPpubqeG3zTnhottvzflpj864dpay95Z6bJ/wD8nJyXr88cePeu4KggP5t6ZfdhVp0DWzPFJ0OyxzT7HOvmG25i3Z47F9AgAA79iVU6Izrv3aI0W3w3bnluq8W+Zo1o+7PLZPAP6B74XBjfxbU86+Mg2e8LVHim6/3ecFt8/RtG8zPbZPeE/QF97Gjh0rm82m9957z3QosIDZC3frivu/r/NZbidqc2ahzr35v9p/sO7nAyEwxcfHa/jw4YqPjzcdCgwg/9aTlVuqc278RrtyPH+hRFlFjUbeOVc/rfFcQQ8AAHjW3v3lGnrTbP2yq8jj+66ssuvSu7/Td0uyPb5vAObwvTC4kX/rOVBYqfNu/q8yth/0+L5rapz6wwPf6+sFXIjj74J+qcm1a9dKknr27OmR/b344osqKSnRXXfdxQEzyOzJK9WVD/ygmhrvLZuTsf2gbn5isaa9dDbPfLOIgoICzZs3T0OHDlViYqLpcOBj5N9aHA6nrnroB68U3Q4rr7Br7L3ztfHzS5TA2u4A6rB8+XKXts/Pz9fnn3+uSy65RElJSQ1q06dPH3dCAyzP6XRqwl8WaNtOzxfdDquqduiK+7/Xxs8vUfOm0V7rB4Dv8L0wuJF/67nlycXa8EuB1/ZfU+PUuAd/1MbPL1FKi1iv9YMTE9R3vJWWlmr79u0KDw9Xenr6Ce+vsLBQkyZN0gsvvKBGjRp5IEIECqfTqZufXKzC4iqX2i2fOlK7516h5VNHNrjNZ/N26NM53FJsFXl5eZo8ebLy8riDJRiRf2t5/ZNN+nFFrktt3BkHsveW6a7JS10NDwDqlJ+fr7ffflv5+fmmQwEC3r9nbNM3C11bUsqduUB+QYVuf+boZycCCEx8Lwxu5N9apn2b6fJSkO7MBQqLq3Tj44t4brIfC+rC24YNG+RwOJSenq6IiIgT3t+qVavkdDrVvXt3hYaGeiBCBIpp32bq6wW7XW7XMilGqS1i1TIpxqV2tz/zk4pKXCvyAQC8J2dfme7/q2t3mUjujwPvfbVN85eyzFQgczqlX4ulFfnS6v3S3nLTEQHwtZJqad0Badk+KeOg5IXV6uFD+w9W6E8vuH5hjLtzgelzd2jmDywzBQCAvygurdJtT7t+YYy7c4HZi7L0yX9/dbk/+EZQLzXp6WUmV61aJUnq1auXR/aHwPHXDzb4tL/9Byv14axfdNsVJ36nJgDgxE2ZvlllFTU+7fOVDzfq7H6tfNonTlxFjfR1ljR9h7TtNyuR2SQNaiGNaSMNaC6xojRgXdsKpU93SLOzpAr7/36fFCmNbi1d2kZKijIVHdz13lfbXF4B5US98uEGXXRWmk/7BAAAdfvo6+3KL6jwaZ9//WCjrhje3qd9omEsf8fb/v37df/996tjx46KiopShw4dNHnyZDmdTq1bt06S1KNHjyPa7NixQ5MnT9awYcPUvn17xcbGKiYmRj169NBzzz2nqqojJ9OfffaZbDab7r33XknSW2+9JZvNVvvzzDPPuL1v+L9VGflasm6fz/t9/ZNN3E4MAH6gutqhKZ9t8Xm/sxbs0o49xT7vF+7Lr5BuWCw9u+7IopskOSUtzJMmLpWeXsudL4BVfblTumqB9MXOI4tukpRfKf1zq3T594fuhEPgcDiceuPTTT7vd/6yHG369aDP+wUAAEdyOp16/RPfzwWWbdinFRt9f14ax2fpO97WrFmjCy64QDk5OYqJiVF6erqys7M1adIk7dq1q9473p588km9++67io2NVatWrdStWzft3btX69at07p167R8+XJ99tlntduXlpZq4MCBWrlypSoqKtSrVy/FxPzv1tABAwa4vW/4v3/P2Gak343bD2plRr56d2tmpH94RkxMjPr163fEMQPBg/xbw7wle5S9t8zn/Tqd0odf/6I/38Sd9oGgpFr645KjC251+XKXFGKTHjyFO9/gfXFxcRo2bJji4uJMh2J5s7Okp9Yef7vC/z9evDNI6tDY+3HhxC1enaftu81cDPP+zG16dmIfI30D8Ay+FwY38m8Nqzft1/ptBUb6/veMXzg/7IcsW3jbt2+fRowYoZycHN1999167LHHar9MPvfcc3rooYdqn+v2+8Lbeeedp9tvv129evWS7TdnO1asWKERI0bo888/1/r169W9e3dJ0vjx43XVVVfV7n/+/PlKSEioMy5X9w3/t3S9uasKlq3fx4E1wKWlpenVV181HQYMIf/WsGyDuXFgqYE7ruGej7Y3rOh22Oc7pQtPkno08V5MgCSlpKToiSeeMB2G5ZXVSM+ta/j2pTXSC+ulKQO9FxM8x+R3QuYCQODje2FwI//WYPr8MPyPZZeavOOOO7Rnzx798Y9/1EsvvXTEFZwPPPCAevbsqcrKSqWlpSkxMfGItpdffrlOPfXUIwpjktS7d2+de+65kqSNGzce8drWrVtVVlam1q1b11t0c3ff8F81NQ6t3WpuHZiVm/Yb6xueYbfbVVJSIrvdfvyNYTnk3xpWZpg7FjMOBIZqx6FCmqumZXo+FuD3KisrtXv3blVWVpoOxdL+m3WomOaKVfulX1wo2MOclRn5xvpetXk/jyAAAhzfC4Mb+bcGk3OBtVsPqLqaZxX4G0sW3jZs2KBp06YpMTFRTz/9dJ3b9O3bV9LRz3eTDn35nDZtmu644w5deOGFGjx4sAYNGqRBgwZp1qxZklR7t9xha9askXT03XMnuu/MzEyNHDlScXFxSkxM1Pjx47V/PyfZ/MX23UWqqDQ3MK7fxsMfAt22bdt09tlna9s2M0uWwizybw0bfjGznIQk5ewr0/6Dvn14M1z3015pvxs1jXnZh5aoBLwpMzNTl156qTIzqfR604zd7rWbucuzccA7TM4FCourtDu31Fj/AE4c3wuDG/m3BpNzgcoqu37ZzdVanuJ0OlVaWqrS0tITurjJkktNfvzxx3I6nbryyivrfVZBeHi4pKMLZd99950mTJig3buP/c2oXbt2R/x/Qwpvru67uLhYQ4YMUZMmTTR16lSVl5dr0qRJGjFihBYvXqyQEPfqpr1791Zubq5bbXGkqtBWUvzNdb62fOpItUw69vrMLZOia/+7e+4V9W6Xm1+mPlfOOOr3q9dmKDX1dhcihreNGTPGpe337t0rSZo9e7ZWrlzZoDajR492OS74jiufAXfyL/EZ8Dc5CZOkkNg6XzveWHCi44AkdTvlNIU5Cl2IGL4Wc9YENb7sSZfb1Tilbv3OkH0vBRE0HHMR/9Ts2ZUKjW/hcrt3pn+tl4bV/X0D/iM3/k9SaGKdr3lqLiDVPx/o0+8MhTtYZgrwF4zF4LxA8MlrfJsUVvdczxdzgTOHnKcIe7YLEaM+DodDOTk5kg7VelavXu3WfixZePv+++8lSUOHDq13m19//VXSkYWypUuX6oILLlB1dbWuv/56jRs3TieffLISExMVFhamzZs3q2vXrgoLC1PXrl2P2N/xCm/u7HvKlCnas2ePFixYoLS0NElSamqqBgwYoBkzZujiiy92492RcnNztWfPHrfa4neiw6X4ul9qmRSj1BZ1n4j9vbDQkAZv+1s11XZy6WdKS1272rS8vLz2vw1tS879myufAXfyL/EZ8DuNHfWuIdDQscDdcUCS8nLzpGruhvdnzQoL1djNtnl796qSv3m4gLmIf2rqcCrUjXblFRW834GgkUP1JdgXc4G9e/dKlZxsA/wFYzE4LxCEYmrqrbT4Yi6wb1++VM5nwtPy8vLcbmvJwtvhO8ratm1b5+sVFRVatGiRpCMLZQ8++KCqqqr03HPP6f777z+q3ddffy1JSk9PV2Rk5BGvHa/w5s6+Z82apUGDBtUW3SSpf//+ateunWbOnOl24a1ly5ZutcPRqkMStLee13Lzy47bvmVStMJCQ1Rjdyg3v7ze7erbV3iYQ81TUhoSKnwkNta1AfLwpCo6OrrBbVPIuV9z5TPgTv4lPgP+JtdmV32LDh9vLDjRcUCSWrZoolBnVENChSGRTveWA3U67GoWHSonf/NwAXMRP1W8V0p0/XtYRGUh73cAyAu1q75H+HlqLnCsfbVonqgwh63O1wD4HmMxOC8QfPaGSfU9JcAXc4HmzeIVbucz4Qm/veOtRQvXV6w4zOa04FN4ExMTdfDgQS1atEgDBw486vV33nlHN9xwgxo3bqyDBw/KZrPJbrcrMjJSdrtdeXl5at68+RFtHA6HevfurdWrV+uaa67Re++9V/taXl6eWrZsqYSEBBUUHL2eq7v7btGihcaOHavXXnvtiO1Hjhypffv26eeff3bzHYKnVFbZFXf6+6quce8BlrvnXqHUFrHKyivVSed+7HL7q0d00PvPnOlW3/CO5cuXu7T95s2bNX78eL3//vvq0qVLg9r06dPHndDgI658BtzJv8RnwN8Mv3WO/rs4y622JzoOJCVGae8Pf5DNxsk2f1Zhly78Vip08XltQ1pKk/t6JyZYF3MR/zT1V+mlDa63e3+wlJ7g8XDgYWPu/k6fzdvhVtsTnQvERoep8KerFRrq3qMoAHgeYzE4LxB8rnn4R70/8xe32p7oXCA8LETFS8YrMsKd9RXwe6WlpWrUqJEkqaSkxOWLKQ6z5MwsOTlZkrRkyZKjXsvLy9MjjzwiSTrllFNqT1SVlpbKbj90vXpFxdFXJb/00ku163n26tXriNe2bNkiSerUqVOd8bi774KCAiUkJBy1fZMmTXTgwIE6+4JvRUaE6pROTYz1f1p6U2N9wzM6dOigOXPmqEOHDqZDgQHk3xpMHot7pydRdAsAUaHSyLTjb/d7Y+pevAHwqC5dumjZsmUuneiB60acJEW6+O07PYGiW6Do3S3JWN+ndm1K0Q0IcHwvDG7k3xpMzgVO7pBI0c0PWXJ2dvjZbs8///wRD79bu3athg4desTD8Q5r3Lhx7S26Tz/9dG2hrKqqSpMnT9YjjzyisLBDK3P+vvB2uOqZlZVV51q8J7Jv+L++J5s7sPY5uZmxvuEZYWFhtc96RPAh/9bQ1+CxuI/BMQiuGd9BSqn/edpHGdpK6kN6AcuIC5fu7Nbw7SNCpHtO9l488CyzcwG+EwKBju+FwY38WwPnBfB7liy8TZo0SU2bNtW+ffvUu3dvpaenq0uXLurZs6f27dun/v37Szr6eWwPP/ywJGnKlClKSUlRnz591Lx5cz388MN69dVX5XQ6ZbPZjmrXrVs3paWlKTs7W2lpaerfv78GDRqkN99884T2fXjJzN87cOCAmjQxd5cVjjTuQjNXpLQ/KU6nn9L8+BvCr2VlZemee+5RVpZ7y9QhsJF/azhvQIqSEs08Y23cBe2N9AvXJUZK/+gvndSAVSrOaik93ksK4WZG+MDOnTt13XXXaefOnaZDsbzL20q3dz3+dtGh0uQ+Ug++8gWMwae1VGoL95YhOlFXXchcAAh0fC8MbuTfGvqc3EwdWzc20vfVI7hb0h9ZsvCWmpqqRYsWacSIEYqNjdWOHTvkdDo1ceJErVmzRsXFxZKOLrzdeuutmjJlijp27KgDBw4oOztbI0aM0MqVK9W3b1/Z7Xa1a9dOjRsf+UcUFRWl2bNna9SoUQoPD9fSpUu1ePHi2rVA3d13165dlZGRcdS/LyMjQ127NuAbG3xiQM/mRpabvPWyrgrhjFzAKykp0cKFC1VSUmI6FBhA/q0hKjJM14+ue7lpbxp6eit1bpvg837hvtRY6b0zpFu6SC3qqNV2S5Ae7Sk930eKZKUQ+Eh5ebk2bNig8vJjP8gdnjGho/TmgEMF9t9/GY8JlS5tLX1wpjTQ/ee4w4CwsBDdNKazz/s9/ZRm6tWVq9yBQMf3wuBG/q0hJMSmWy/z/fn67h0TNbAXE0d/ZNl7WLt06aKZM2fW+dr69evrbXfjjTfqxhtvrPM1p9NZb7v09HR9+eWXx4zJ1X2PGDFCDz30kLKyspSamipJWrp0qbZv367Jkycfsy/4js1m08Rx3XT9owt91mejmHBdO6qjz/oDABzbLWO76OX3N6i6xuGzPu/8gwtrlsFvxEdIN3SSru0grTkg3fqT5JRkk/TvwaajA+ALvZMO/eSWSxfN/d8x4JvzpEbhpqODu264pLOefWetyivsPuuTuQAAAP7j2lEd9ejrq1RcWu2zPu/8Qzee++6nLHnHm1XcdNNNSk5O1qhRozRr1ixNnz5dV155pfr27atRo0aZDg+/ce2ojjrjVN9dXfDSvX3VNMHMsmYAgKO1SYnTo7f47jmto89prRFnnuSz/uB5YSGHTrwf/orEVyUg+LSMPvIYQNEtsCU3i9Ezf+zts/7OG5CiK4a381l/AADg2BIbR+rle/v5rL9BvVroOgOr76BhKLz5scaNG2v+/PlKTk7WFVdcoRtuuEEDBgzQrFmzFBJC6vxJSIhN7z4xWNFRrq0LlZtfpqy8UuXmlzW4zdDTW+nGS32/jAkA4Njuv+4UnZbu2nJP7owDTeIj9cafB3JVGwAAfubOcd00yMXlntyZC8TFhuufjw5iLgAAgJ+5/pJOOm9Aiktt3JkLREeF6t0nzuAxRH7MsktNWkX79u01a9Ys02GgATqkNdbbj56hqx76QcdYlfQIfa6c4VIfacmxeu/JwXzBspBmzZpp4sSJatasmelQYAD5t5awsBD957mzNOiaWdpXUNGgNq6OA2FhNn34zJlq0TTanRAB4CjJycl6/PHHlZycbDoUIOCFhNj04bNnasD4Wcre27CTZ67OBUJCbPrXE2coLbnR8TcGEBD4XhjcyL+12GyHxumB42dpR3bDntvn6lxAkqb8ZZA6to53uR18h9umAA/6w4Xt9dYjA+WNuthJLWM1b8pwpbSI9fzOYUzTpk01btw4NW3a1HQoMID8W0+nNvH69q1hSkr0/HLAYWE2TX1uiIafwRKTADwnPj5ew4cPV3w8X9wBT2jdKk7zpgxXcrMYj+87JMSm9548Q5ee29bj+wZgDt8Lgxv5t55WzWM175/DlZbs+XO4Npv05iMDddWIDh7fNzyLwhvgYTeO6aJPJp+txh58SEPvbkla9O8RXMlgQUVFRZo3b56KiopMhwIDyL819ezSVAvfu1Dp7RM8ts9miVGa9ep5GnMeJ9oAeFZBQYGmTZumgoIC06EAltG1XYIWvnehenZp4rF9JjaO0Od/PUdXX9TRY/sE4B/4XhjcyL81tT+psRb9e4T6nuy5OxkbNwrX1OeH6OaxXTy2T3gPhTfAC8ae11YbPr9EwwamntB+IsJD9MydvfXzBxexlIhFZWdn66GHHlJ2drbpUGAA+beuLm0TtPLjUXrg+lNOeM31y85vq41fXKLzT3BMAYC65OXlafLkycrLyzMdCmAp7U9qrKUfjdRjt/ZSWNiJzQVGnpWmjV9cqlFDWnsoOgD+hO+FwY38W9dJLRtp8fsj9OzE3ooIP7EyzPkDUrTh80t0+bB2HooO3kbhDfCSk1o20jevn6cvXjlH5/Rr5VLbRjHhuu3yrlo3fbQevKGHwsL4UwWAQBMVGaZnJ/bRqk9G6brRnRQVGdrgtjabNGLwSZrz5vn6ZPLZataEZ7oBABBoIsJD9eitp2rttNG6aUxnxUSFudT+/AEpmvnqufryb0O9snQlAADwrrCwED1wfQ+t/+wS3X5FV8XFurZC2jn9Wunzv56j2W+cr5NaclNGIHFt1gfAJTabTRef3UYXn91GWzIPatrcTK3M2K8VG/OVlVd6xLY9OjfRaelJGtCjuS47v63iYiMMRQ0A8KQenZvqncfP0OS7++qT//6qJev2amVGvjZlFsrhcNZu1zYlTqelN1Xvbkm6/Px2apMSZzBqAADgKentE/XWXwbphbv66pM5v+rntYfmAhm/HpTd/r+5QFpyrE5LT1Lv9CRddn47dUhrbDBqAADgKZ3axOu1hwbo2Ym9Ne3bHfppTZ5WZORr4/YC1dT8by6Q2iK29rzAmHPbqkvbBHNB44RQeAN8pHPbBP35pl61/19eUaP2F3yqnPxytWoWrTXTRhuMDgDgbU3iI3Xr5V116+VdJUlV1Xa1Of+T2nHg19mXGY4QAAB4U3xchG4a00U3jTn0bJbqaodan/9x7Vxg55wrDEcIAAC8KS42QteN7qTrRneSdPRcYPdc5gJWwfp1gCHRUWG1z/2x2U5szX8ErsjISHXu3FmRkZGmQ4EB5D+4RYSHMg4AMC4mJkb9+vVTTAzL2AG+Fh4ewlwAAN8Lgxz5D27MBayLO94AwKC2bdvqgw8+MB0GDCH/AADT0tLS9Oqrr5oOAwCAoMX3wuBG/gFr4o43AAAAAAhSdrtdJSUlstvtpkMBAAAAAEug8AYABm3ZskUDBw7Uli1bTIcCA8g/AMC0bdu26eyzz9a2bdtMhwIAQFDie2FwI/+ANVF4AwCDnE6nqqur5XQ6TYcCA8g/AAAAAAQ3vhcGN/IPWBOFNwAAAAAAAAAAAMADKLwBAAAAAAAAAAAAHkDhDQAAAAAAAAAAAPCAMNMBAEAwa9OmjaZOnaqUlBTTocAA8g8AMK1Dhw6aM2eO4uLiTIcCAEBQ4nthcCP/gDVReAMAg6KiotS+fXvTYcAQ8g8AMC0sLEyJiYmmwwAAIGjxvTC4kX/AmlhqEgAMysnJ0VNPPaWcnBzTocAA8g8AMC0rK0v33HOPsrKyTIcCAEBQ4nthcCP/gDVReAMAgwoLCzVjxgwVFhaaDgUGkH8AgGklJSVauHChSkpKTIcCAEBQ4nthcCP/gDVReAMAAAAAAAAAAAA8gMIbAAAAAAAAAAAA4AEU3gAAAAAAAAAAAAAPoPAGAAaFhISoV69eCgnhcByMyD8AwLTQ0FD169dPoaGhpkMBACAo8b0wuJF/wJr4iwYAgxwOh1avXi2Hw2E6FBhA/gEAptntdi1dulR2u910KAAABCW+FwY38g9YE4U3AAAAAAAAAAAAwAMovAEAAAAAAAAAAAAeQOENAAAAAAAAAAAA8AAKbwBgUFxcnIYNG6a4uDjTocAA8g8AMI2xCAAAsxiLgxv5B6wpzHQAABDMUlJS9MQTT5gOA4aQfwCAaYxFAACYxVgc3Mg/YE3c8QYABlVWVmr37t2qrKw0HQoMIP8AANMYiwAAMIuxOLiRf8CaKLwBgEGZmZm69NJLlZmZaToUGED+AQCmMRYBAGAWY3FwI/+ANVF4AwAAAAAAAAAAADyAwhsAAAAAAAAAAADgARTeAAAAAAAAAAAAAA+g8AYAAAAAAAAAAAB4QJjpAAAgmHXp0kXLli0zHQYMIf8AANMYiwAAMIuxOLiRf8CauOMNAAAAAAAAAAAA8AAKbwBg0M6dO3Xddddp586dpkOBAeQfAGAaYxEAAGYxFgc38g9YE0tNAvAZh8Op7buLtDIjX2u2HNDB4irZ7Q5FR4WpY1pj9e6WpB6dmiomOngOTeXl5dqwYYPKy8tNhwIDyD+CUd7+cq3MyNeqTfnK2Veuqmq7IsJD1apZjE5LT9Jp6U3VrEm06TCBoMFYBMDX8gsqtDIjXys25it7X1ntXKBlUvT/zwWS1KIpcwEED8bi4Eb+EYwOFFZqZUa+Vmbka3duqSqr7IoID1GLpv+bCyQ3izEd5gkJnrPbAIzZmV2st6Zt0TtfbNHeAxXH3DY01KYRg0/SbZd31dDTUxQSYvNRlAAAbykurdJHX2/XG59u1rqtB467fa8uTXXb5V115fB2io0J90GEAADAm0rLqjV19q9649NNWrVp/3G3794xUbde1lVXjWivuNgIH0QIAAC8qbyiRp/OydTrn2zSsg37jrt913YJumVsF42/qIMSGkf6IELPYqlJAF6z70C5xj3wg9oO/1TPvrP2uEU3SbLbnfrq+106/5Y56jrqM81bsscHkQIAvKGmxqFn316rlKEf69anfmpQ0U2SVm/erxsfX6SUcz/WS/9eL7vd4eVIAQCAN9jtDr38/nqlnPuxbnx8UYOKbpK0fluBbnv6J7U652M9PWWNamqYCwAAEIgcDqde/zhDqed+rGsfWdCgopskbfr1oCY+v0QpQz/WX/6xUlXVdi9H6lkU3gB4xfRvM9Vt9Of6zzfb5XS6t4+tOwt17k3/1S1PLlZxaZVnAwQAeNXGXwrU/+qZeujvK1RcWu3WPgqLq3TvS8s0eMLX2pJ50LMBAgAAr9q6o1CDJ3yte15cpsJi977PlZRV68+vrdTpV83Uhm0Nu4AHAAD4h8ysYg29cbZuf+ZnHSisdGsfZRU1evKtNep9xVdalZHv4Qi9h8IbAI9yOp16+O8rNPbe+dpXcPw73BrirWmbNXD8LOXml3lkf/4kOTlZjz/+uJKTk02HAgPIP6xqzuIs9fnDV1qx0TOT4p/W7FXvK2foh+U5HtkfgP9hLALgDT+uyFHvK7/ST2v2emR/KzPy1XfcDP13UZZH9gf4E8bi4Eb+YVVL1u7VaVd8qe899D1+/bZDF/d+8d0Oj+zP2yi8AfCoB/+2Qs+8vdbj+12/rUBnXfeN9u631sNm4+PjNXz4cMXHx5sOBQaQf1jRtz9l6aI/zlV5hWeXgSgpq9bw2+ZQfAM8jLEIgKctWJGjYbfOcfuO9/qUV9g18s65FN9gOYzFwY38w4qWrturc2/+rwqKPLuCWVW1Q2PvnR8QxbegL7yNHTtWNptN7733nulQgID3z+mb9fy767y2/y07CjVq4lxLre9fUFCgadOmqaCgwHQoMID8w2o2Zx7U6D99p2ovHacrKg+dcPs1q8gr+weCEWMRAE/asadYF905VxWV3nkOS3WNQ5fcPU+bfj3olf0DJjAWBzfyD6vJ3luqC27/ViVlnr0A5zC73akrJn2v1Zv8e9nJoC+8rV176M6cnj17emR/L774oh577DEVFhZ6ZH9AoNixp1h3v7jMpTbLp47U7rlXaPnUkQ1us2TdPr30/npXw/NbeXl5mjx5svLy8kyHAgPIP6zEbndowiMLVFZR0+A27owDxaXVuv7RRXI43HyAKIAjMBYB8BSHw6nrH12oohLXTrS5Oh8or7BrwiMLZLdb54JMBDfG4uBG/mElTqdTNz+x2OXnubk6F6iqdujaRxaqqto7F/p4QlAX3kpLS7V9+3aFh4crPT39hPdXWFioSZMm6YUXXlCjRo08ECEQGJxOp254bJHLVzK0TIpRaotYtUyKcandX/6xiiscAcDP/PWDjVqybp9LbdwdB35YnqM3P93kUhsAAOBdU6Zv1vxlri8J7c58YOn6fXr5/Q0u9wUAALznw1m/aNaC3S63c2cusG7rAT09xfOPO/KUoC68bdiwQQ6HQ+np6YqIiDjh/a1atUpOp1Pdu3dXaGioByIEAsPClbn6bmm2z/qrqnbombfX+Kw/AMCxlVfU6Nl3fDvhfXLKGr++ug31cziln/dK9y6TLvlOGjFXuupH6d2t0v4K09EB8IX9FYf+5q/68dAx4JLvDh0Tftp76BiBwFNd7dATb63xaZ/PvrNWZeUNv9MeAAB4j8Ph1GNvrPZpny+9v16FxZ59jpynBHXhzdPLTK5atUqS1KtXL4/sDwgUrxu46+DTOZnad6Dc5/0CAI726ZxMl5eSOFG5+eX6cv5On/aJE7elUBozX/rjEumHXGlXqZRbLm0ulF7fLF04V/rbRsnOiXfAkhxO6dWMQ3/rr28+9LefW37oWPBDrnTnEunS+dLmg6Yjhau++n6ncvaV+bTPgqIqfTLnV5/2CQAA6jZncZZ+zSr2aZ+l5TX6YNYvPu2zoSxfeNu/f7/uv/9+dezYUVFRUerQoYMmT54sp9OpdevWSZJ69OhxRJsdO3Zo8uTJGjZsmNq3b6/Y2FjFxMSoR48eeu6551RVdWQV9bPPPpPNZtO9994rSXrrrbdks9lqf5555hm39w34u737y/XZvB0+77eq2qF/fbnN5/16WkxMjPr166eYGNeWWYM1kH9YxZvTzCz7+Manm430C/dkHJRuXHToBHt9apzSB9ulx1dLTopvPsFYBF9xOqUn1kj//uXQ33p9dpdKNy2WNhb4LDR4wJvTzIzJb7D0NCyAsTi4kX9YBXOBI4WZDsCb1qxZowsuuEA5OTmKiYlRenq6srOzNWnSJO3ataveO96efPJJvfvuu4qNjVWrVq3UrVs37d27V+vWrdO6deu0fPlyffbZZ7Xbl5aWauDAgVq5cqUqKirUq1evIw6WAwYMcHvfgL9buCpXNcf65uxF85dla9J1pxjp21PS0tL06quvmg4DhpB/WEFxaZWWrnft2W6esnh1niqr7IqMYIlvf1dRI921VCpr4Oqg32RJ6QnSFe28GhbEWATfmb5DmtXAR36U2aW7l0lfniNFW/qshTVUVtm1YGWukb6Xb8hXUUmVGjc68ceHAKYwFgc38g8rcDic+n6568959YSM7QeVm1/m8rPjvc2yd7zt27dPI0aMUE5Oju6++27l5uZq1apVys3N1bPPPqt//OMfWr58uaSjC2/nnXeeVq5cqeLiYm3dulXLli3Tjh07tHz5crVo0UKff/651q9fX7v9+PHjtWDBAoWEHHo758+fr0WLFtX+nHXWWW7vG/B3KzLyjfbtDPDL4e12u0pKSmS385yiYET+YQWrN+03dmdSdY1D67cdMNM5XDInW9rv4mqkU3/lWU++wFgEX3A4pf+4uCLg/kppzh7vxAPP2vBLgaprHMb6X7Vpv7G+AU9gLA5u5B9WsG1noYpLq431v9Lg+en6WLbwdscdd2jPnj364x//qJdeeklxcXG1rz3wwAPq2bOnKisrlZaWpsTExCPaXn755Tr11FNls9mO+H3v3r117rnnSpI2btx4xGtbt25VWVmZWrdurYSEhHrjcmffgD8z+SVn/8FK7copMda/J2zbtk1nn322tm0L/GUz4TryDyswfbJrZQYn2wLB9EzX2+wpk5aYuZkyqDAWwReW7Tu0hKSrpu3weCjwglWGT3b548k2wBWMxcGN/MMKOC9wNEsu2rBhwwZNmzZNiYmJevrpp+vcpm/fvlq9evVRz3eTpMrKSs2YMUM//vijMjMzVVxcLIfj0NVbh4tiERFHLmOwZs0aSUffPXci+87KytJzzz2nZcuWae3ataqqqvLI3T29e/dWbq6ZZSBwpJyEu6WQeOXk5ig1NdV0OG7Z2/gWKSy5zteWTx15zNt8WyZF1/5399wrjtlPbn6Z+lw546jf9+l/jiLs2S5E7F1jxoxxafu9e/dKkmbPnq2VK1c2qM3o0aNdjgu+48pnwJ38S3wGrMQK40Bh9FAp+ow6X/PFOHDfg0/qybt+dCFi/9LitZ2yhYTK7rArNbW16XC8IyRMLV/b4VbT6x55WSVfv+zZeCyOuUhgCYpjgKTYC+5S3Ih7XG63pVBKbd1Wspu7gtrbrDAXKI4aLMWcU+drx5sLSA2fD9Q3F3jsqZf014fnuRAx4F2MxeC8AFxhhblASeTpUuzwOl/zxVzghZff0JSnvnEh4vodrtVI0qBBg7R69Wq39mPJwtvHH38sp9OpK6+88og73X4rPDxc0tGFsu+++04TJkzQ7t3HXny+XbsjHzjRkMKbq/v+5Zdf9Nlnn6lPnz6KiIjQ4sWLj9muoXJzc7VnD2t2+IU4uxQiOez2wM1JjKPeI0nLpBiltog97i7CQkMatF1d9uUfkMr8570rLXXtUt7y8vLa/za0bcB+VoKEK58Bd/Iv8RmwFCuMAy3Lpeh6XvLBOFBcUqrivAB97yS1OHxRldMZuJ+B4wiNjVdLN9uWVlv3ffEW5iKBJRiOAZKUUmVX3d/Mjy/3QKHsJQUejcevWGEu0LxUqud8WkPnApL784GS0nKV5AToewdLYiwG5wXgEivMBZJKpXqGcF/MBUrLKlTqhfcuLy/P7baWLLx9//33kqShQ4fWu82vvx5aYP63hbKlS5fqggsuUHV1ta6//nqNGzdOJ598shITExUWFqbNmzera9euCgsLU9euXY/Y3/EKb+7se/DgwcrJOfRQwscee8xjhbeWLd099QFPywkNlUNSSGioklNSTIfjlr1hNtV3/Wluftkx27ZMilZYaIhq7A7l5pcfc9v69tUsKVERdv9572JjXRscDk+qoqOjG9w2JUA/K8HClc+AO/mX+AxYiRXGgcLoKNW36K8vxoG4RjFqHBaY750k6fDy4zabdf+2bSFyOhyyhbi+yn1MqNO674uXMBcJMMFwDJAUewJnHlomNpbij32VdCCzwlygOCpGRfW8dry5gNTw+UB9+2oUG634AH3vYE2MxeC8AFxhhblASWSsCut5zRdzgdiYKCV46L1zOBy1NZkWLVq4vR9LFt4O31HWtm3bOl+vqKjQokWLJB1ZKHvwwQdVVVWl5557Tvfff/9R7b7++mtJUnp6uiIjI4947XiFN3f2HeLGyYmGWLFihVf2C9elDp2qPXvLlNwyWVkbskyH45aRf5yrmT/uqvO1um79/a3dc69QaotY5eaX66RzP3ar//WrFqhF03putTBg+fLlLm2/efNmTZ06VcOHD1eXLl0a1OaVV15xIzL4iiufAXfyL/EZsBIrjANvfLJJtz39U52v+WIcePWlx3XNqI5utfUHfWdIDkmhIaHKygrMz0BD3PaTtMyNR/BMf/5edf/nvZ4PyMKYiwSWYDkGbCiQrl3oerveSdKbu3Z4PB5/YoW5wPsztumaPy+o87XjzQWkE58PPPfkJN1+xXsutwO8hbEYnBeAK6wwF/h83g5devd3db7mi7nAXx64Q5Oum+Jyu7qUlpaqUaNGklRbQ3KHJQtvxcXFkuq/rfejjz5SUVGRGjduXFucs9vtWrDg0ERxwoQJR7VxOBz66KOPJEm9evU64rW8vDzl5eUpISFBbdq0Oartiewb8HenpTett/DmbSnNY/yq6OaODh06aM6cOfUuiwtrI/+wgtPSkwz339Ro/2iYMW1cL7x1jpdOTvRKOPgNxiL4QrcEqWu8tKm+S6HrMbaNN6KBpxmfC3Q12z9wohiLgxv5hxWY/l5uei5SF+/cUmVYcnKyJGnJkiVHvZaXl6dHHnlEknTKKafI9v9Le5SWlsput0s6dEfc77300ku1D9L7fXFsy5YtkqROnTrVGc+J7BvwdyYPbP54UHVVWFhY7ZKzCD7kH1ZwSqdEhYXZjPQdHRWqLm0TjPQN1wxuKbVz8VzChI7/W4UP3sNYBF+w2aRrXbw5uW0j6UyekhAQurSNV0yUmWNIaKhNPTo3MdI34CmMxcGN/MMK0pIbqWlC5PE39JJT/fCCXEsW3g4/2+3555+vLWhJ0tq1azV06NDaNTp/uyxk48aNa9fGffrpp2sLZVVVVZo8ebIeeeSR2gPg74tjh9ffzcrKqvMuuxPZN+DvBp/WUrHRZiYHF5xxkpF+PSkrK0v33HOPpZcWQv3IP6wgKjJMZ/dtZaTv8/qnKCzMktNZywkLkf7WT2rRwBvVb+4sDTXzsQo6jEXwlXNaSbc2cAWtFlHS304/dOyA/wsNDdH5A808k2ZIn2RFGyr6AZ7CWBzcyD+swGazafigVCN99+/RXImNzRX96mPJaeykSZPUtGlT7du3T71791Z6erq6dOminj17at++ferfv7+ko5/H9vDDD0uSpkyZopSUFPXp00fNmzfXww8/rFdffVVOp1M2m+2odt26dVNaWpqys7OVlpam/v37a9CgQXrzzTdPeN+Av2vcKEJXjehgoN9wjbuwvc/79bSSkhItXLhQJSUlpkOBAeQfVnHb5V2Dql+4JzlGeu8MaVALqb4b2ZpFSX/uId3Y2aehBTXGIvjS9Z2kR3oe+luvi03SwObSv86QWsX4MjKcKOYCgPsYi4Mb+YdVMBc4kiULb6mpqVq0aJFGjBih2NhY7dixQ06nUxMnTtSaNWtqnwH3+yLXrbfeqilTpqhjx446cOCAsrOzNWLECK1cuVJ9+/aV3W5Xu3bt1Lhx4yPaRUVFafbs2Ro1apTCw8O1dOlSLV68uPYhfCeybyAQmDjAjb+ooxrFhPu8XwDA0S484ySd1DLWp312SGusoaebuboe7msWJb3ST/riHOma312383xvaeZQ6eLWZmID4Buj0g79rb/QWzr/d4fxL845dKdb88B+jHNQOqdfK3VuE+/TPlNbxOqiM9N82icAAKjb6ac0V68uvl3ysWlCpMac28anfTaUZe/H79Kli2bOnFnna+vXr6+33Y033qgbb7yxztecTme97dLT0/Xll18eMyZ39w34u1M6NdFVI9rrw1nbfdJfQlyEHrz+FJ/0BQA4vrCwED03sY/GPfiDz/p84a4+CgnhAWCBKjVW+mO69MEvkkOHrgY8h6UlgaARFiKd3erQz9w9/zsOpPr2Gg54kM1m0/N39dHFE+f5rM9nJ/ZmyWkAAPzE4bnAeTf/12d9Pv3H3oqK9M8SFzMUPzd9+nRNnz5dGRkZR/z/ihUrDEcGHOlv9/dXyyTfXJr69wdOV6vmfCsHAH9y5QXtNGqIb646v3J4O40+p41P+gIAAA0zakhrnz0OYORZaZZ49AAAAFZybv8U3TTGN88NOKdfK5/15Q7/LAei1tixY+v8/2uuuUbvvfeegYiAujWJj9Q7j5+hEXd8q4bewJmbX3bEfxviknPaGHmmnLc0a9ZMEydOVLNmzUyHAgPIP6zEZrPpzUcGaun6fcrNL29QG3fGgdQWsXr1wf5uxQjgaIxFADzp7w/014KVudqdW9rgNq7OB1o0jdabjwyUzcad77AGxuLgRv5hNZPv7qv5y3L0y66iBrdxdS7QJD5Sbz82yK/nAhTe/BxLUCKQXHDGSXrrkYG66YnFDdq+z5UzXNr/mb1b6sNnz/Trg6qrmjZtqnHjxpkOA4aQf1hNy6QYffvmMJ11/Tc6UFh53O1dHQeaJUZp7pRhapoQ5W6IAH6HsQiAJzWJj9Tct4Zp8ISvtfdARYPauDIfSGwcoTlvnq/kZjHuhgj4Hcbi4Eb+YTWNG0Xo2zeH6YxrZ2nP3oYV0lyZC8TFhmv26+erTUqcuyH6BEtNAvCoG8d00XtPDlZoqGeLY8MHpeqbf5yv6ChrXS9QVFSkefPmqaio4VeBwDrIP6yoe6cm+vHdCzx+QuyklrFa+N6F6tI2waP7BYIdYxEAT+vcNkEL3xuhtGTPPh6gZVK0fnj3QvXo3NSj+wVMYywObuQfVtQ2NU4L3xuhDmmNPbrfpgmRmv/2cPXt7v93iFJ4A+Bx14zqqGUfjVT3joknvK+oyFC9fF8/zXz1XMVEW6voJknZ2dl66KGHlJ2dbToUGED+YVUnd2yiddNH64ph7Tyyv/EXddDa6aPVmaIb4HGMRQC8oVObeK2ZNlrXjOzokf1ddn5brZs+Wqd0auKR/QH+hLE4uJF/WFXb1Dit+mSUbh7bxSP7GzUkTRs+v0S9u/l/0U2i8AbAS05NT9KKj0fp8dtOVZP4SJfb22zShYNP0rrpo3XX1ScrNJTDFQAEkqTEKE19YYg+e/kcdW2X4NY+Tu6QqJmvnqt/P32mEhu7PpYAAABzEhtH6r2nBmvWa+e6fVFml7bxmvbi2fpk8tlq1iTawxECAABviouN0JuPDNTcKcPUq4t7d6x3SGusD589U1+8MlQtkwJnqWnr3T4CwG9EhIfqL7f00n3XdtenczL19udbtGzDPlVVO+pt06ZVI112flvdPLaL2qV69nZkAIDvXTK0jUaf01o/LM/R659s0rwl2TpYXFXv9k3iI3Ve/xTddnlXDTq1haWe6wkAQDC6cHCaLjjjJC1enafXP9mkOT/tOeazYBPiIjT09Fa69bKuGtI3mbkAAAABbujpKVr5SSstW79P//h4k2YvzlJ+Qf3Pgm3cKFxn922lWy/roqGnpygkJPDmAhTeAHhddFSYrhnVUdeM6qiqars2/lKgtVsP6E/PL1FhSbXiG4Vr2kvn6NSuTdU0Icp0uAAAD7PZbBrSt5WG9G0lp9OpzD3FWpmxXzc+trB2HHjn8TN0WnqSWrdqxAk2AAAsxmazadCpLTXo1JZyOp3amV2ilRn5yt5Xpj+/tlJFJdVKbByh5VNHqV1qHHMBAAAsxmazqd8pzdXvlOZyOp3anVuqlRn5ysorPWIusPSjkWp/UuOALLb9Fmu3AfCpiPBQ9eqapGtHdVKjmHBJUqOYcJ3bPyUoi26RkZHq3LmzIiNZQi0YkX8EI5vNpnapjTX2vLZHjAOXnttWbVI40Qb4GmMRAF+z2WxqkxKnS89tqz/+oZvi/n8+EBMVpvYnNWYugKDDWBzcyD+Ckc1mU1pyI40+p81Rc4GOreMDvugmcccbABjVtm1bffDBB6bDgCHkHwBgGmMRAABmMRYHN/IPWBN3vAEAAAAAAAAAAAAeQOENAAzasmWLBg4cqC1btpgOBQaQfwCAaYxFAACYxVgc3Mg/YE0U3gDAIKfTqerqajmdTtOhwADyDwAwjbEIAACzGIuDG/kHrInCGwAAAAAAAAAAAOABFN4AAAAAAAAAAAAAD6DwBgAAAAAAAAAAAHhAmOkAACCYtWnTRlOnTlVKSorpUGAA+QcAmMZYBACAWYzFwY38A9ZE4Q0ADIqKilL79u1NhwFDyD8AwDTGIgAAzGIsDm7kH7AmlpoEAINycnL01FNPKScnx3QoMID8AwBMYywCAMAsxuLgRv4Ba6LwBgAGFRYWasaMGSosLDQdCgwg/wAA0xiLAAAwi7E4uJF/wJoovAEAAAAAAAAAAAAeQOENAAAAAAAAAAAA8AAKbwAAAAAAAAAAAIAHUHgDAIOaNGmia665Rk2aNDEdCgwg/wAA0xiLAAAwi7E4uJF/wJoovAGAQSEhIQoPD1dICIfjYET+AQCmMRYBAGAWY3FwI/+ANfEXDQAG5efn6+2331Z+fr7pUGAA+QcAmMZYBACAWYzFwY38A9ZE4Q0AAAAAAAAAAADwAApvAAAAAAAAAAAAgAdQeAMAAAAAAAAAAAA8gMIbABgUFxenYcOGKS4uznQoMID8AwBMYywCAMAsxuLgRv4BawozHQAABLOUlBQ98cQTpsOAIeQfAGAaYxEAAGYxFgc38g9YE3e8AYBBlZWV2r17tyorK02HAgPIPwDANMYiAADMYiwObuQfsCYKbwBgUGZmpi699FJlZmaaDgUGkH8AgGmMRQAAmMVYHNzIP2BNLDWJBnE6nVIgXXkRGSmbzWY6CgAAAAAAAAAAEEQovKFhKitVc9k1pqNosLBP/y1FRZkOAwAAAAAAAAAABBGWmgQAAAAAAAAAAAA8gMIbAAAAAAAAAAAA4AEsNQkABnXp0kXLli0zHQYMIf8AANMYiwAAMIuxOLiRf8CauOMNAAAAAAAAAAAA8AAKbwBg0M6dO3Xddddp586dpkOBAcGc/4NFlVq9KV8/r83T8g37tH13kRwOp+mwACDoBPNYBAAmlVfUaN3WA1qydq+WrturTb8eVHW1w3RYMICxOLgFc/6LS6u0dst+/bw2T8vW79PWHYWy2zkOwhpYahIADCovL9eGDRtUXl5uOhQYEEz5r6q264vvdurz73ZoZUa+tu8uPmqbxo3C1atLUw0+raWuH91JrVvFGYgUAIJLMI1FAGCS0+nUd0uz9Z9vtmv5hnxtyjwou/3IC88iI0LVo1MTnX5KM024uJN6dmlqKFr4EmNxcAum/NvtDn29YLc+/TZTKzbma+vOQjl/d/1tbHSYenZpqgE9muv60Z3UuW2CkViBE0XhDQAAeE1RSZVe/Pd6TZm+RXn7j/1FoqikWj+uyNWPK3L19D/X6sIzTtID15+iAT1b+ChaAAAAwLNqahx6a/pm/f2jDG3dWXjMbSur7Fq2YZ+Wbdinv/8nQ/17NNc940/WJUPbyGaz+ShiAPCs8ooa/e2jjXrj003alVN6zG1Ly2u0eHWeFq/O0+T31mvo6a00acIpOrd/io+iBTyDwhsAAPCKb3/K0g2PLdLu3GNPrOvicDg188ddmrVglyaO66an/9hbMdFMWwAAABA4Nmw7oGsfWaiVGflutf957V6NuWe+Lj67td748wC1TIrxcIQA4F1L1u7VtY8s0JYdx77woD7zlmRr3pJsXTuqo/56Xz8lNI70cISAd/CMNwAA4FEOh1N3vbBE598yx62i2285ndIrH25Uj7FfaKubE3UAAADA196atlmnXfGV20W33/py/k51G/25vluS7YHIAMD7nE6nnpqyWgOvmeV20e233vtqm06+5HOPHFMBX6DwBgAGJScn6/HHH1dycrLpUGCAFfPvcDh17Z8X6JUPN3p0v7/sKtKga2Zpw7YDHt0vAAQ7K45FAGDai++t1y1PLlZVtcNj+zxQWKkLbp+jrxfs8tg+4R8Yi4ObFfPvdDp130vL9Mhrq+RwOI/foIH27C3TkOu/0c9r8zy2T8BbKLwBgEHx8fEaPny44uPjTYcCA6yY/z+9sEQfzPrFK/veV1Ch826Zo105JV7ZPwAEIyuORQBg0jufb9F9Ly/zyr6rqh0ac898LV7NSWcrYSwOblbM/zP/XKuX3t/glX0Xl1brgtu+1cZfCryyf8BTKLz5iRdffFGPPfaYCgtZRgsIJgUFBZo2bZoKCpgwBCOr5f/rBbv06n8yXGqzfOpI7Z57hZZPHdmg7XP2len6RxfK6fTcVXMAEMysNhYBgElbdxTqjmd/dqmNq/Phikq7rnrwB5WUVbsTIvwQY3Fws1r+l6zdq7+8vsqlNq4eBw8WV+nqh35UtQfvKgY8jcKbHygsLNSkSZP0wgsvqFGjRqbDAeBDeXl5mjx5svLyuGIxGFkp/wVFlbrx8cUut2uZFKPUFrEuPSh+3pJs/fOzLS73BQA4mpXGIgAwyW536LpHF6qi0u5SO3fmwzuySzTJS3fVwfcYi4OblfJfUVmjCX9Z4PLyku4cB1dv3q/n3l3raoiAz1B48wOrVq2S0+lU9+7dFRoaajocr/kxf68iZn6ql7dvrnebiJmf6uKlC30YlRk5+8r0+scZKio9dIVaeUWNqqpdm5wDgD958q3VytlX5rP+7nt5mYpKqnzWn6eVV9Ro6jfbVfz/40BpeY32H6wwHBUAAPCVyiq7pn2b+Zu5QLX27i83HBVOxEdfb/fpEpBvfLpZazbv91l/AHA8f/toozZn+m41tyffWqOs3FKf9edp1dUOfT5vR+1coKSs2qfnVeBdFN78wKpVh26/7dWrl+FI4G0bfynQ5ffNV9p5H+v2Z36uPbAeKKpS6/M/0aP/WKXyihrDUQKAa0rLqvXul9t82mdRSbU+9NKz5LypsLhKk15eptRzP9YfHvih9gKMg8VVShn6sa798wL9mlVkOEoAAOAtpWXVevjvK3TSuR/rsnvn/2YuUK3Ucz/WuAd+0JbMg2aDhFte+9i1Jdc94fVPNvm8TwCoi93u8PkxqbrGEZCr4VRU1uix11ep9bBPdOnd39XOBQpLqpV23se6/L752rDtgOEocaIovBn02WefyWaz6d5775UkvfXWW7LZbLU/zzzzjOEI4UnfL8tW/6tn6tM5maqxH33LdW5+uZ54a7XOuXG2DhZVGogQANwzdfavKiz2/d1nr3+yKaCe9ZabX6Yzrp2lye+t14HCo4/zlVV2/XvGNvUbN1MrM/INRAgAALxp/8EKnXndN3rm7bXaV3D0ne7VNQ7955vtOv2qmT69cwonbvmGfVq+wffzt4++3m5kHg4Av/fNwiztyvH93Wf//HxLQD3rrbC4SkNv+q8ef7PuVYNq7E59OidTA8bP0vyl2QYihKdQeDOotLRUAwcOVFRUlKRDd7wNHDiw9mfAgAGGI4SnZGwv0KiJ82rvcDuWn9fu1aV3f+fyesgITDExMerXr59iYhq+jjWswyr5nzY300i/G7cfVMb2g0b6dlVFZY1G3DFX67cd/4HZ+QUVGn7rHO3KKfFBZACCnVXGIsDf1dQ4NGrivAZdXHOwuEoj7vhW23b6brkunJhp35qZD5dV1OjrBbuN9A3PYSwOblbJv6njYM6+Mi1anWukb1c5HE6Nuee7Bl1cU1xarVET53LnWwCj8GbQ+PHjtWDBAoWEHErD/PnztWjRotqfs846y2yAXlJmtyu/srLOH6t6asqaBhXdDpu/LEdzFmd5MSL4i7S0NL366qtKS0szHQoMsEL+nU6nVmw0d3dWoNwZ9umcTJdi3VdQoZf+vd6LEQHAIVYYi4BAMOOHXS7dxXawuErPv7vOixHBk4zOhzcFxnwY9WMsDm5Wyf8Kg9/NV2YExvMu5/68R/OWNPwutpKyGj31zzXeCwheReHNsK1bt6qsrEytW7dWQkKC6XB84oktG9Xq26/q/LGivP3lmj53h8vtWKs9ONjtdpWUlMhut5sOBQZYIf87s0vqXDbRVwKl8ObOMf29GdtUWtbwizYAwB1WGIuAQODOXOA/s7ergMcQ+D2n06lVm82d9A2U+TDqx1gc3KyQ/5Kyam02+HzSQDkOujMX+GzuDuXmH70kJfwfhTfD1qxZI0nq2bNnna9nZmZq5MiRiouLU2JiosaPH6/9+wOjil+fG9LaafbpZ9b5Y0Vffb9T1TWurzX89cLdKuGEq+Vt27ZNZ599trZt22Y6FBhghfxvNbwE0rZdRUb7b4hdOSVaun6fy+2KSqo156c9XogIAP7HCmMR4O/2H6zQd248p6W8wq5ZP+7yQkTwpH0HKow+Z23rTv+fD+PYGIuDmxXyv313kUw+ft30eYmGKCuv0Sw3lgausTv1xXc7vRARvC3MdADB7liFt+LiYg0ZMkRNmjTR1KlTVV5erkmTJmnEiBFavHhx7RKVrurdu7dyc11b+zY6JEQZPfu71d/vdWjUSOc0a+GRfdWnU6dOKnf4x4M1i6IGSzHnuNzO6ZQ6dOmpMIf/Dx7uykm4WwqJV05ujlJTU02H4xFjxoxxafu9e/dKkmbPnq2VK1c2qM3o0aNdjgu+48pnwJ38S/71GSgP7yzF/aHO15ZPHamWScdep75lUnTtf3fPvaLe7XLzy9TnyhlH/f677xcqNfV6FyL2varQZCn+FrfaXn/zRN1Z2fDPRqCx4jjgqhav7ZQtJFR2h12pqa1Nh+Nzwf7v9wbmIoGFv4HgeA+qQ5KkhD+61faOux7Sg7f+7OGI/EugzwdqQuKlhLvrff14c+ITnQ/n5u0PyPfNyhiLEWznBapCU6X4G+t8zRfnBdZt2KTU1DtciNj37LbGciTe41bb+x9+Sk/f86OHI/Iv/jQXcPympjBo0CCtXr3arf1QeDPsWIW3KVOmaM+ePVqwYEHtOr+pqakaMGCAZsyYoYsvvtitPnNzc7Vnj2tX0MeEhkpHh+i3srOzVeYvt2gnFUhuPh81LydLqrHw1WtxdilEctjtLn8m/VVpaalL25eXl9f+t6FtrfJeWZUrnwF38i/52WcgrqkUV/dLLZNilNoitkG7CQsNafC2v1VVWe5f70ddIiXFu9f04IF8HTzo5/++E2HBccBVLQ5fGup0BuV7EOz/fm9gLhJY+BsIkvcgvFJKcK9p0cH9Ktpv0fflsECfD4SVHTO/DZ0TuzsfdjpqAvN9szDGYgTdeYHo8Hq/8/rivEBNdZV/vR91CS2SEt1rWlx4QMX5fv7vO1F+OhfIy2v483l/j8KbYccqvM2aNUuDBg064uGa/fv3V7t27TRz5ky3C28tW7Z0uU20m3fXmdKqVSu/ueOtPLxKB9xoZ3OUKblFvGz1ndG2gJzQUDkkhYSGKjklxXQ4HhEb69oE4fCkKjo6usFtUyzyXlmVK58Bd/Iv+ddnoDIsVvWtpt6QdchbJkUrLDRENXaHcvPL692uvn1FRTjV1I/ej7o4bJHKcVZLtvCGN3I6JZtNSfF2Rcb697/vRFhxHHCZzVb7X3/62/aZYP/3ewFzkQDD30BQvAdOhSnHWSGnLcqFRofmAk0b1Sgqyprvy2GBPh9wKEI5x3j9eHPiE50Ph9qq1DIA3zcrYyxGsJ0XqAmJU33lCV+cF4gItauZH70fdXEqRLmOUjlCXC8sNmlUrehI//73nSh/mgs4HA7l5Bwa2Vu0cH/VPgpvBuXl5SkvL08JCQlq06bNUa9nZGRo7NixR/2+W7duysjIcLvfFStWuNzGWVGhmsuucbtPX9u6datsUS58qfGimhqH2gz7RHv2uvYgzHuv66cX7rb2ev6pQ6dqz94yJbdMVtaGLNPheMTy5ctd2n7z5s2aOnWqhg8fri5dujSozSuvvOJGZPAVVz4D7uRf8q/PQFFJleIHfFDna3UtAfF7u+deodQWscrNL9dJ537scv8P3XW1Hrn5ZZfb+dqERxbova9cWLPfZlP3jolaO/1n2Q6fkLQgK44Druo7Q3JICg0JVVZW8L0Hwf7v9wbmIoGFv4HgeQ/++OzPem2qC9/jbTa1PylOW2f+qJAQ684FJGvMB9pf8Kl+zSqu87XjzYlPdD588fmnafrLgfm+WRVjMYLtvIDd7lDCwA9VUlZ91Gu+OC9w0/jhevXBJ1xu52sPvLJcz7+7zqU2rZrHaMfKbxUeHlg3xbjKn+YCpaWlatSokSRp0aJFbu/H2hnzc1u2bJF06HlkdSkoKFBCQsJRv2/SpIkOHHDnHiqYEBYWolsua/jAKUkhITbdPNa1NghMHTp00Jw5c9ShQwfTocAAK+S/caMIdWrt5jqKHnBaepKxvl1x+xVdXW5z2+VdLV10A+AfrDAWAYHgVhe/Ex5q09XyRTerMDknDZT5MOrHWBzcrJD/0NAQ9erSxFj/p6U3Nda3K24e08Xlcf3mMV0sX3SzKrJm0OHbh7Oyslxe/xmB5d5rumvwaQ1f4vPvD5yu9ic19mJE8BdhYWFKTExUWBg3IAcjq+R/YK/mRvoNDbWp78nNjPTtqt7dmunRW3o1ePuRZ6Xpxks7ezEiADjEKmMR4O/S2yfqhbv6NHj7c/u30p1/6ObFiOBJA3uamQ9L0gCDfcMzGIuDm1XyP7CX+0vynagBPcz17Yq2qXF67cH+Dd5+UK8WmjShuxcjgjdReDOoW7duSktLU3Z2ttLS0tS/f38NGjRIb775piQpMTFRBw8ePKrdgQMH1KSJuasI3HVmUnNVXXSZ7m5f/5V+VRddpi/7neHDqHwjKjJMs147V8MGph5zu5AQm/7xUH/dfkW6jyKDaVlZWbrnnnssvawO6meV/N9wiZkC0eizWysp0T+WFW6IR2/tpSfvOPW4210+rK0+mTxEoaFM0wB4n1XGIiAQ3Httd710b18d74b2kWel6Yu/DuUK9wAy7sIOiowI9Xm/nVrH64xTG36RL/wTY3Fws0r+r7u47hXdvG3waS3VqY25VXhcdevlXfXGnwcoNPTYk4HzBqTo63+cp6jIwC7IBjNmcQZFRUVp9uzZGjVqlMLDw7V06VItXry4dg3Rrl271vkst4yMDHXt6vqSVTArLjZC37x+nuZNGa7R57Q+4tbipMQoPXD9Kdr+9VjdRtEtqJSUlGjhwoUqKSkxHQoMsEr++/dorlM6+f6CkNsuD6yx0Gaz6c839dLmry7VxHHdFB8XUftaeFiI/nBBey369whNfX4Ik2sAPmOVsQgIBDabTXeP765ts8bq3mu6q0l8ZO1rYWE2jT2vrb5/5wJ9+behio0JNxgpXJWUGKXLz2/r835vucz1ZcvgfxiLg5tV8t+xdbzO7d/K5/26s5Szabdc1lW/zBqrB6/voWa/uZg4JMSm0ee01twpwzT79fPVuFHEMfYCf8dZHcPS09P15Zdf1vnaiBEj9NBDDykrK0upqYfulFq6dKm2b9+uyZMn+zBKeIrNZtM5p7fSOae3UnlFjQqKKhURHqqEuAiFhVEHBxCYbDab7p9wisY9+IPP+uxzcpLO6pPss/48qXPbBL1y/+mafHdfFRRVyu5wqkl8pJGrpAEAgO+1P6mxJt/TV89O7K2CokpV1zjUJD6SC28C3N3jT9ZH32yX3e70SX/NEqN07aiOPukLABpi0oRTNPfnbJ/11/6kOF0ytI3P+vOkNilxemZibz15x6kqKKpSVbVdiY0jFR3FXMAqONPvx2666SYlJydr1KhRmjVrlqZPn64rr7xSffv21ahRo0yHhxMUHRWmVs1jlZQYRdENQMC78oJ2unDwST7pKyI8RP96YrBsx1unyc+Fh4eoedNoJTeLoegGAEAQCgsLUbMm0WrVPJaimwX06NxUD1x3is/6e/3hAUpsHHn8DQHAR4aenqLrRvtmyUmbTfrXE4MVER7Y36VDQ0OUlBilVs1jKbpZDGf7/Vjjxo01f/58JScn64orrtANN9ygAQMGaNasWQoJIXUAAP9hs9k05S8DlRDn2lIIufllysorVW5+WYPbPHbrqerWIdHVEAEAAACveuTmXjrZxXmqO/Phy85vqzHn+X5pSwA4npfv7afUFrEutXHnOHjnH7rpjNN4xiX8F2VUP9e+fXvNmjXLdBgAvKRZs2aaOHGimjVrZjoUGGC1/LdqHqvP/3qOht/2rSqr7A1q0+fKGS71cfmwtpo0obs74QEA6mC1sQgATIqMCNWXfxuqQdfMUm5+eYPauDof7t0tSf98dJA74cFPMRYHN6vlPz4uQjP+PlRnXf+NikqqG9TG1ePgeQNS9PxdfdwJD/AZbpsCAIOaNm2qcePGqWnTpqZDgQFWzP+Qvq305StDFR3l+eUeLju/rd5/+kyFhjJ9AQBPseJYBAAmtT+psea/fYFaNY/x+L57d0vSf984X40bubbKBPwbY3Fws2L+e3VN0pw3hrm8Ik5DnNu/lT5/+Rwe1wC/x5krADCoqKhI8+bNU1FRkelQYIBV8z9sUKp+fPdCdW4T75H9hYXZ9OgtvfSf584K+PXbAcDfWHUsAgCTurZL0M8fXKSz+iR7bJ/XjOyo7/45XE0Tojy2T/gHxuLgZtX8n96juRa/P0KndvVMQdFmkyaO66aZr56n2Jhwj+wT8CYKbwBgUHZ2th566CFlZ2ebDgUGWDn/fU5uptWfXqz7ru2ukBCb2/vp0bmJlv9nlB677VTudAMAL7DyWAQAJqUlN9J3/xyufzzUX7HR7j/ppVXzGM167Vy999Rg7nSzKMbi4Gbl/Ke3T9SSD0fqqTtOU3iY+9/nO6Q11o/vXqhX7j+dO90QMDiDBQAAvCI6Kkwv3N1Xv8waq/uvO0VNEyIb3HbYwFTN+Pu5WvnxKPXsYp0lNwAAABA8QkJsuu2KdO2cc7leuKuP2qbENbjtaelJeveJM/TLrLG6cHCaF6MEAO8JDw/Rwzf11I7/XqbHbu3l0jK8g09rqU8mD9HGLy7RGae19GKUgOe5f8kNAABAA7RNjdNzf+qjx27tpUWr87QyI18rNubr16xirdt6QDV2pyLCQ3T7FV11WnqSBvZsoTYunJQAAAAA/FnThCjdN+EU3XNNdy1dv1fLN+RrZUa+NmUe1OpN+w/Nh8NCNGF0J/VOT1K/7s3UvVMT02EDgMe0ah6rR289VQ/d0FM/rc3Tio2HjoNbdxZp7Zb9tecFbhrTRb3Tk9S/R3N18tDjKwATKLwBAACfiIoM09DTUzT09JTa36UOnao9e8vULDFKL993usHoAAAAAO8KCbGpf48W6t+jRe3vaufDTaL05iMDDUYHAN4XHh6iM3sn68ze/3sG5m/PC7z6YH+D0QGew1KTAGBQZGSkOnfurMjIhi/BB+sg/wAA0xiLAAAwi7E4uJF/wJq44w0ADGrbtq0++OAD02HAEPIPADCNsQgAALMYi4Mb+QesiTveAAAAAAAAAAAAAA+g8AYABm3ZskUDBw7Uli1bTIcCA8g/AMA0xiIAAMxiLA5u5B+wJgpvAGCQ0+lUdXW1nE6n6VBgAPkHAJjGWAQAgFmMxcGN/APWxDPe0DCRkQr79N+mo2g4HkgKAAAAAAAAAAB8jMIbGsRms0lRUabDAAAAAAAAAAAA8FssNQkAAAAAAAAAAAB4AHe8AYBBbdq00dSpU5WSkmI6FBhA/gEApjEWAQBgFmNxcCP/gDVReAMAg6KiotS+fXvTYcAQ8g8AMI2xCAAAsxiLgxv5B6yJpSYBwKCcnBw99dRTysnJMR0KDCD/AADTGIsAADCLsTi4kX/Amii8AYBBhYWFmjFjhgoLC02HAgPIPwDANMYiAADMYiwObuQfsCYKbwAAAAAAAAAAAIAHUHgDAAAAAAAAAAAAPIDCGwAAAAAAAAAAAOABFN4AwKCQkBD16tVLISEcjoMR+QcAmMZYBACAWYzFwY38A9bEXzQAGORwOLR69Wo5HA7TocAA8g8AMI2xCAAAsxiLgxv5B6yJwhsAAAAAAAAAAADgARTeAAAAAAAAAAAAAA+g8AYAAAAAAAAAAAB4AIU3ADAoLi5Ow4YNU1xcnOlQYAD5BwCYxlgEAIBZjMXBjfwD1hRmOgAACGYpKSl64oknTIcBQ8g/AMA0xiIAAMxiLA5u5B+wJu54AwCDKisrtXv3blVWVpoOBQaQfwCAaYxFAACYxVgc3Mg/YE0U3gDAoMzMTF166aXKzMw0HQoMIP8AANMYiwAAMIuxOLiRf8CaWGoSDeJ0OqVAuvIiMlI2m810FAAAAAAAAAAAIIhQeEPDVFaq5rJrTEfRYGGf/luKijIdBgAAAAAAAAAACCIsNQkAAAAAAAAAAAB4AIU3AAAAAAAAAAAAwANYahIADOrSpYuWLVtmOgwYQv4BAKYxFgEAYBZjcXAj/4A1cccbAAAAAAAAAAAA4AEU3gDAoJ07d+q6667Tzp07TYcCA8g/AMA0xiIAAMxiLA5u5B+wJpaaBACDysvLtWHDBpWXl5sOBQaQ/+DidDq1fluBfl67Vysz8rVu6wEVlVbL6XQqJipMXdomqHe3JPXplqT+PZorNJTrowB4H2MRAMCXMrOKtWh1rlZm7Nfqzfu1/2CFauxORUWGql1qnE7rmqTe3ZI0+LSWio4KjtOWjMXBjfwHn82ZB/XTmkPnBdZs2a+DxVWy2w+dF+jYunHtcXDQqS0UER5qOly4KThGMAAAAEPKyms0dfZ2vf7JJq3atL/e7VZt2q//fLNdktS6VSPdPKaLrh/dSc2bRvsqVAAAAMDjamocmrVgl17/ZJPm/pxd73ZrtxzQF98duusnsXGErru4k265rKs6pDX2VagA4BWVVXZ9NneHXv90kxavzqt3u9Wb9+vTOZmSpJZJ0brx0s666dIuSm0Z66tQ4SFcSg0AAOAls37cpQ4jpumGxxYds+j2ezuzS/TQ31eozfBP9LcPN8jhcHoxSgAAAMA7VmXk69TLv9ToP313zKLb7xUUVeml9zeo00XTdNcLS1RWXuPFKAHAe35ckaP0iz/TuAd/OGbR7fdy88v15Ftr1PaCT/TEm6tVXe3wYpTwNApvAAAAHlZUUqVrHv5RF/1xrnL2lbm9n/IKu/70wlKddd3Xyswq9mCEAAAAgPfY7Q49+o9V6jtuhtZvK3B7P06n9MqHG9Xzsi+0ZO1eD0YIAN5VUVmjO5/7WWdd941+PYHv8zU1Tj36+ir1GzdDG39x/3gK36LwBgAGJScn6/HHH1dycrLpUGAA+bem/IIKnXPjbL0/8xeP7XPhqjwNGD9TG7Yd8Ng+AUBiLAIAeF5VtV1X3v+Dnnhrtex2z6zcsG1nkYbc8I2+XrDLI/vzJ4zFwY38W1NJWbVG3DFXr/4nw2P7XL15vwZdM0s/rWn4XXMwh8IbABgUHx+v4cOHKz4+3nQoMID8W09hcZXOv+W/WrEx3+P7zs0v1zk3zta2nYUe3zeA4MVYBADwJLvdofEP/6hp32Z6fN8VlXZdctd3mvvzHo/v2yTG4uBG/q2norJGF0+cp++WNnx53YY6WFylYbfO0coMz59zgGdRePMTL774oh577DEVFnIyDQgmBQUFmjZtmgoKuFU8GJF/67npCdee5eaqvQcqdPGf5qmikmdcAPAMxiIAgCe98K/1+uS/ni+6HVZV7dCYe75TVm6p1/rwNcbi4Eb+rWfSX5d7peh2WHFptUbdOVcHiyq91gdOHIU3P1BYWKhJkybphRdeUKNGjUyHA8CH8vLyNHnyZOXlcZt4MCL/1jL920x9Ose1kwzLp47U7rlXaPnUkQ1uk7H9oB5/c7Wr4QFAnRiLAACesmHbAT32xiqX2rgzHy4qqdaNjy+S0+mZZSxNYywObuTfWn5ckePy8pLuHAf37C3T3S8udTU8+BCFNz+watUqOZ1Ode/eXaGhoabDAXyipsYhu+PQJNlhkckygOB1sKhStz39k8vtWibFKLVFrFomxbjU7oV/rdfqTYG9tITT6ZTj8DjgcFrmxAkAAGgYp9OpA4WVqrE7av8fgcvpdOr6RxepqtrhUjt358P/XZylD2d57pnKAHCiKqvsuu4vC11u5+5x8F9fbrPE0rsHi6w5F6Dw5gdWrTp0NVCvXr0MR+JdP+bvVcTMT/Xy9s31bhMx81NdvNT1AxQCR2ZWse7/6zK1PPs/ys0vlyTl7CvXyD/O1eyFu2tPwgJAIHnvq23aV1Dhs/4cDqde/mCDz/rzpKKSKv3j4wx1v+Rz5RweB/LL1XPsl3pr2maVlFUbjhAAAHhTSVm1pkzfrF6XfammZ3yovP2H5lB7D1ToHx9nqKikynCEcMePK3K1bMM+n/b5wr/WW+okLYDA9vm8Hfo1q9infU5+b51P+/OUsvIa/evLrepz5VdKHHTkXOCVDzaowALLaFJ4M+izzz6TzWbTvffeK0l66623ZLPZan+eeeYZwxECnvX6xxnqMGKaXvjXeu0/eOQBdOaPu3TB7d/q3Jtmq7CYL1oAAofD4dTrn27yeb+fzsnUvgPlPu/3RCzfsE8dR0zTHc/8rI3bDx7x2rqtB3TLk4vVeeR0rdnsvefkAQAAc9Zu2a8uI6fr5icWa+2WA0e8VmN36o5nflaHC6dp2XrfFnBw4l7/xPfz4Q2/FGjRKpbnA+AfTBwH5/6cra07Cn3e74nY9OtBdRv9ma77y0Kt2HjkSj41dqfumrxU7S/4VAtW5BiK0DMovBlUWlqqgQMHKioqStKhO94GDhxY+zNgwADDEQKe8/rHGbr9mZ+Pe0fb/GU5Gn7bHJVX1PgoMrNiYmLUr18/xcS4djs5rIH8W8OiVbnatrPI5/1WVTv0QQAtr7Nm836dc+Ns7T1w7DsDs/eWacj132jTrwd9ExgQ5BiLAPjK5syDGnL9N9qzt+yY2+0rqNA5N37DhTgBZP/BCn0xf4eRvt/+fIuRfj2JsTi4kX9r2JJ5UItWm7kQ4N0vtxrp1x2/ZhXprOu+1o7skmNuV1BUpfNvnaMla/f6KDLPo/Bm0Pjx47VgwQKFhBxKw/z587Vo0aLan7POOstsgICH7NhTrD8+t6TB2/+8dq+eeycwb5V2VVpaml599VWlpaWZDgUGkH9r+MngRPCnNYExCXU6nbr6oR9VXNqwZSQPFlfpmj//6OWoAEiMRQB8Z8IjC1RQ1LDVTUrKajTuwR9YRjBALFu/TzU1ZnJlci7uKYzFwY38W8Nig9/Nf1oTOHf+3vT44uNejHtYRaVdV97/vex2154d6i8ovBm2detWlZWVqXXr1kpISDAdjk+U2e3Kr6ys8wfWNGX6Fpef3Tbls82qdvGhzIHIbrerpKREdrvddCgwgPxbw8qM/ONvZMG+XbFwZa42/FLgUpvlG/K13MfPCQGCEWMRAF9YmZGvJetcG9czth/UgpW5XooInrRyk7k56S+7igL+cRWMxcGN/FuDye/mqzcfcPm8qwmbfj2o75Zmu9RmR3aJ/rs4y0sReReFN8PWrFkjSerZs+dRr2VlZemOO+5Q3759FRkZKZvN5tvgvOSJLRvV6tuv6vyB9djtDreWfsjNL9fMH3d5ISL/sm3bNp199tnatm2b6VBgAPm3hrVbDxx/Iy/ZkV0SECcapnzm3hJAU6Zv9nAkAH6PsQiAL7g7pr81jblAIPj98/p8339gL0vKWBzcyL81mDwvUFJWre27ff/4C1f98zN35wKBuaRwmOkAgt2xCm+//PKLPvvsM/Xp00cRERFavHixR/rs3bu3cnNdu2osOiREGT37e6T/G9La6dJWJ9X52vAlnllWqlOnTip3WP9uqUBgt8VoX+L9brWdcMuDurNioYcj8q4xY8a4tP3evYduRZ89e7ZWrlzZoDajR492OS74jiufAXfyL1nrM5CTcLcUEq+c3BylpqaaDsctOQn3SSGN6nxt+dSRaplU/1r9LZOia/+7e+4V9W6Xm1+mPlfOqPO1zt16Kszh35PsvY1vksJSXG73/iffavbbV3ohIv/R4rWdsoWEyu6wKzW1telwfC7Y//3ewFwksPA3wHsQLPbFXSuFt3W53fSZi7Tgo6s9H5AfscJ8OD/uaim8Q52veWo+LNU/Jx49dpyiq/3nGUeMxeC8gGuscBzMa3ybFNaiztd8cRwcOPhcRdhdu5vM1/IbjZMiOrncbvb8VUpNneCFiOrm+E1NYdCgQVq9erVb+6HwZtixCm+DBw9WTk6OJOmxxx7zWOEtNzdXe/bscalNTGio1NMj3atDo0Y6p1ndByJPyc7OVhm3aPuHsHgp0b2mRcWlKtrr2mfVtNLSUpe2Ly8vr/1vQ9u6+vcL33LlM+BO/iWLfQbi7FKI5LDbA/ff1Vj1riHQMilGqS1ij7uLsNCQBm1Xl7zcvVK1n1/lG+10a9ZZVR3An4sGanH42TVOp+X/rXUJ9n+/NzAXCSz8DfAeBI12dinc9WbVNQ7rfy6sMB9uW11vfn0xHz5woEAq8p/3jrEYnBdwkRWOgzH2er/z+uI4uG9fvlTu5+9dmxopwvVmNXZzc8S8PPefn0fhzbBjFd5CQryzEmjLli1dbhPtpVi8pVWrVtzx5iecClO20y7ZQl1uG98oVI3CXb9DwqTYWNcGyMOTqujo6Aa3TUkJrPck2LjyGXAn/5K1PgM5oaFySAoJDVVygP67cm121XepR25+2THbtkyKVlhoiGrsDuXml9ffxzH207JFkkKdUQ0J1Zj8sEq58yTXqLAaNQ3Qz0WDHV5K3Gaz1N92gwX7v98LmIsEGP4GeA+CxP7wGlW40S4itErNLP65sMJ8OD8ipN65nqfmw8faV9MmjRUV5z/vHWMxOC/gGiscB/eGSdX1vOaL42DzZokKt/v3YygORNTo2P+6uoWHVKq5Dz8XDoej9maoFi3cv3mIwptBeXl5ysvLU0JCgtq0aeOzflesWOFyG2dFhWouu8YL0XjH1q1bZYvy75OQweSSu+bpi+92utQmLNSmTUs+UnKz+m/F9kfLly93afvNmzdr6tSpGj58uLp06dKgNq+88oobkcFXXPkMuJN/yVqfgdShU7Vnb5mSWyYra0NgPjD37Ou/0ffLc+p8rb7lIQ/bPfcKpbaIVW5+uU4692OX+27cKFx71mxSSIh/Pwf2n9M366YnXL9z/58v3qSrRrzghYj8R98ZkkNSaEiosrIC82/gRAT7v98bmIsEFv4GeA+CxX++3q5xD/7gcru/P3G1bh77tOcD8iNWmA/f9cISvfLhxjpf8/Z8WJKWL5yltqlxbrX1BsZicF7ANVY4Dl4xab4++W9mna95+zgYEmLTr5uWKDbGjVvLfeir73fq4onzXG733AOX6O7xj3ohorqVlpaqUaNDjxNZtGiR2/sJrNuYLGbLlkMPBuzUyfW1TYFActvlXV1uc8nQNgFXdHNHhw4dNGfOHHXoUPd6+LA28m8Np6UnGev71K5Jfl90k6Q/XNBejRu59iUgKTFKY85t452AANRiLALgC5ee20bNEl27ODYuNlzjLmzvpYjgSSbnw4mNI9Qmpe7nLQcKxuLgRv6t4bSu5o6DXdrG+33RTZIuPOMkndTStTuCoyJDde2owKydUHgz6PDtw1lZWS6v/wwEkrP7ttKwgQ1/OGpcbLgeuamn9wLyI2FhYUpMTFRYGDcgByPybw29u5mbYPc2eJLDFbEx4Xr81lNdavPUHacpKpK/DcDbGIsA+EJkRKieubO3S20eu7WXGgXAiUSYnQ+flp4km83/L0Q7Fsbi4Eb+rcHocdBg0c8VYWEhem5iH5faPHh9DzWJj/RSRN5F4c2gbt26KS0tTdnZ2UpLS1P//v01aNAgvfnmm6ZDAzwqJMSmT18cosGnHf/5gnGx4frylaE6uWMTH0RmXlZWlu655x6W1QlS5N8ahg1MVWy0mS9Jl53f1ki/7ph4VTc9eH2PBm37xO2n6uaxDV9mBYD7GIsA+MoNl3bWU3ec1qBtH7j+FN119clejgie0rlNvLp3TDTS92XnBc58uD6MxcGN/FvDoF4tja3cFUjnBf5wYXu9fF+/Bm17x5XpeuTmnt4NyIsovBkUFRWl2bNna9SoUQoPD9fSpUu1ePHi2jVErebMpOaquugy3d2+/hNpVRddpi/7neHDqOArcbER+vatYXryjlOV0vzogSg8LERXDGunnz+4SGf3a2UgQjNKSkq0cOFClZSUmA4FBpB/a4iPi9DVI3y/LEifk5PU5+RmPu/XXTabTc9M7K1PXzxbfeuJe0DP5vrilXP0yM29fBwdELwYiwD40sM39dSXfxuqgb1a1Pl635Ob6ZPJQ/TsxD4BfxdTMLHZbLr9inSf9xsfF6E/XBD4y5EyFgc38m8N4eEhuunSzj7vt02rRho+qOGrjPmDu64+WbNfP19n9Umu8/WeXZro/acH6+8PnB7QcwHuYTUsPT1dX375pekwAJ+IjAjVn2/qpQeu66FvFu7Wlh2Fqqy2q1litEYNSVPLJOs/0w2ANd12eVe9OW2zT/u8/XLfn9zwhLHntdXY89pqZUa+FqzMVXFptRrHhuusPsnq2aWp6fAAAICXjRrSWqOGtNbaLfv1/bIcFZVWKy42XGec2kK9uwXORUU40rgL2+v+V5arsLjKZ31OGNUxIJ5rBCA43HhpZz3z9lpV1zh81uetl3VVaGjg3Vs1bFCqhg1K1cZfCjRvyR4VlhyaC5x+SjOdfkrzgC64HUbhzc9Nnz5dkpSRkXHE/7dp00a9e7u2PjrgL8LCQjRySGvTYQCAx3Tv1ER3XJmu16Zm+KS/gb1a6KoRgX1172npSTotQJ5RBwAAPK9H56bq0ZmLbqyiUUy4Xrqnr254bJFP+mvVPEZ/uYVVEgD4j5QWsfrLLT31yGurfNJfevsE3TkuMC/IPaxbh0R162BmqWJvC7xyaJAZO3asxo4dq2nTph3x/6+99prhyAAAwG89N7G32qXGeb2fqMhQ/euJMwLyqjYAAABY13WjO+n8ASk+6WvKXwYqsXGkT/oCgIa6f0IPndrV+xeVhITY9K8nBisqkvuq/BVnbPyc0+ms8+e9994zHRoAD2jWrJkmTpyoZs1YUiUYkX9riY0J14fPnqmoyNAGt8nNL1NWXqly88sa3Oa1B/urY+t4d0IEgKMwFgEAPMVms+ntx86o87nu9XFnPnzHlem6cHCaOyH6Jcbi4Eb+rSU8PEQfPHOmEuIiGtzGnePgk7efqr7d+cz4M0qiAGBQ06ZNNW7cONNhwBDybz39e7TQF38dqov/NE+VVfbjbt/nyhku7X/y3X11/SW+f2AzAOtiLAIAeFJqy1jNnTJcZ9/wjXLzy4+7vavz4fEXddDf7j/d3fD8EmNxcCP/1pPePlGzXz9f59/6XxWVVB93e1ePg/dd210P3tDD3fDgI9zxBgAGFRUVad68eSoqKjIdCgwg/9Y0bFCq/vvG+UpKjPLYPiPCQ/TWXwbq3mu7e2yfACAxFgEAPK9ruwQtfG+EOrfx7CoNd48/Wf96crBCQmwe3a9pjMXBjfxb0+k9muuHdy5QaotYj+0zJMSmZyf21vN39ZHNZq3joBVReAMAg7Kzs/XQQw8pOzvbdCgwgPxb11l9krXx80s05tw2J7yvPicnadUnF+umMV1OPDAA+B3GIgCAN3RIa6zVn16se6/prhM9P9y6VSPNmzJcL93bz3JFN4mxONiRf+vq1TVJGz6/RNeP7nTC+0pvn6AlH16kB67vQdEtQFB4AwAA8ILmTaM17aVz9OXfhmrwaS1dbt+lbbz+8VB//fT+RerWIdELEQIAAADeEx0Vpsn39NXPH1yk0ee0drlo1jIpWn+5uZfWfzZa55zeyktRAoD3xMdF6O3Hz9C8KcN1/oAUl9u3adVIL9zVRys/HqU+J/NMt0DCM94AAAC8aNSQ1ho1pLU2bDugf321TUvW7dWazQdUVlFzxHZhYTad3CFRvdOT9IcL2uusPslcyQYAAICA1++U5vr8r0OVlVuqd7/cqoWrcrViY74OFlcdtW2n1vE6Lb2pLjmnjUYNaa3wcO4ZABD4zjm9lc45vZV+2VWkd7/Yqp/W5mnVpv0qLj3yGXAhITZ1bRuv3t2a6bLz2+r8ASkKDeU4GIgovAEAAPjAyR2b6KV7+0mS7HaHtu8u1qBrZmpfQaWaN4nSzjmXKyqSqRkAAACsKbVlrP5ySy9JktPp1M7sEvX9wwztK6hQ8yZR2jZrrBo3ijAcJQB4T4e0xnpmYm9JksPhVOaeYvW/ambtcfDXby5TbEy44SjhCZRLAcCgyMhIde7cWZGRkaZDgQHkP3iFhoaoU5t4RYSHSpLCw0IougEwgrEIAGCCzWZTm5Q4Rfz/HW3hYSFBW3RjLA5u5D94hYTY1P6kxkccBym6WQdneADAoLZt2+qDDz4wHQYMIf8AANMYiwAAMIuxOLiRf8CauOMNAAAAAAAAAAAA8AAKbwBg0JYtWzRw4EBt2bLFdCgwgPwDAExjLAIAwCzG4uBG/gFrovAGAAY5nU5VV1fL6XSaDgUGkH8AgGmMRQAAmMVYHNzIP2BNPOMNDRMZqbBP/206iobjgaQAAAAAAAAAAMDHKLyhQWw2mxQVZToMAAAAAAAAAAAAv8VSkwAAAAAAAAAAAIAHcMcbABjUpk0bTZ06VSkpKaZDgQHkHwBgGmMRAABmMRYHN/IPWBOFNwAwKCoqSu3btzcdBgwh/wAA0xiLAAAwi7E4uJF/wJpYahIADMrJydFTTz2lnJwc06HAAPIPADCNsQgAALMYi4Mb+QesicIbABhUWFioGTNmqLCw0HQoMID8AwBMYywCAMAsxuLgRv4Ba6LwBgAAAAAAAAAAAHgAhTcAAAAAAAAAAADAAyi8AQAAAAAAAAAAAB5A4Q0ADAoJCVGvXr0UEsLhOBiRfwCAaYxFAACYxVgc3Mg/YE38RQOAQQ6HQ6tXr5bD4TAdCgwg/wAA0xiLAAAwi7E4uJF/wJoovAEAAAAAAAAAAAAeQOENAAAAAAAAAAAA8AAKbwAAAAAAAAAAAIAHUHgDAIPi4uI0bNgwxcXFmQ4FBpB/AIBpjEUAAJjFWBzcyD9gTWGmAwCAYJaSkqInnnjCdBgwhPwDAExjLAIAwCzG4uBG/gFr4o43ADCosrJSu3fvVmVlpelQYAD5BwCYxlgEAIBZjMXBjfwD1kThDQAMyszM1KWXXqrMzEzTocAA8g8AMI2xCAAAsxiLgxv5B6yJwhsAAAAAAAAAAADgATzjDQBwXE6nUwq0ZQ8iI2Wz2UxHAVhGwB0HOAYAADwo4MZBibEQgEdxHAQQcMcBg8cACm8AgOOrrFTNZdeYjsIlYZ/+W4qKMh0GYB0BdhzgGAAA8KgAGwclxkIAHsZxEECAHQdMHgNYahIAAAAAAAAAAADwAO54AwCDunTpomXLlpkOA4aQfwCAaYxFAACYxVgc3Mg/YE3c8QYAAAAAAAAAAAB4AIU3ADBo586duu6667Rz507TocAA8g8AMI2xCAAAsxiLgxv5B6yJwhsAGFReXq4NGzaovLzcdCgwgPwDAExjLAIAwCzG4uBG/gFrovAGAAAAAAAAAAAAeACFNwAAAAAAAAAAAMADKLwBAAAAAAAAAAAAHkDhDQAMSk5O1uOPP67k5GTTocAA8g8AMI2xCAAAsxiLgxv5B6wpzHQAABDM4uPjNXz4cNNhwBDyDwAwjbEIAACzGIuDG/kHrIk73gDAoIKCAk2bNk0FBQWmQ4EB5B8AYBpjEQAAZjEWBzfyD1gThTcAMCgvL0+TJ09WXl6e6VBgAPkHAJjGWAQAgFmMxcGN/APWROENAAAAAAAAAAAA8AAKbwbk5+dr0qRJ6tChg6KionTSSSdp4sSJKi0t1fXXXy+bzabXXnvNdJgA4HE/5u9VxMxP9fL2zfVuEzHzU128dKEPo4KvVVbZ9Z+vt+uye+crv6BCklRYUqXMrGLDkcHbOAYcYndKi/KkR1ZKjv//nUPStkKTUQHwpfwK6e0tRx4DvtgpldeYjAq+wFgISXI4nPr2pyyNf+jH2vnwweIqrcrINxwZ4H0cByFJNTUOfTl/h66c9P0Rx8FNvx40Gxh8IhiOA2GmAwg2a9as0fDhw5Wbm6vY2Filp6crOztbf//737V9+3YdOHBAktSzZ0+zgQIA4GFOp1P/+HiTnnhztfb9/8T6sJKyGrW/8FONGJymfz42SC2aRhuKEvCu+dnS3zKkPWVHv3blj1LPJtKfe0ht4nwfGwDvK6mWnl8vfbvnUBH+t55eK/1to/SH9tINnaQQm5kYAXjX1wt26U8vLNUvu4qO+H1peY1Ou+Ir9eveTFMeHaRTOjUxFCEAeNeHs37Rg39boay80iN+X1peo/SLP9PZfZP19mNnqG0qX4oQuLjjzYfy8/N10UUXKTc3V/fcc49ycnK0atUq5ebm6vnnn9fXX3+t5cuXy2az6ZRTTjEdLgAfiImJUb9+/RQTE2M6FBgQbPl/4JXl+uOzPx9VdDvM6ZRm/rhL/a+aqazc0jq3AQLZ5zukSSvqLrodtuaAdN0iaQt3v8FHgm0sMqm4WrppsTQ76+ii22ElNdKULdJjqyVHPdsACFwfzNymkXfOO6ro9ltL1+/ToGtmacnavT6MDCYxFge3YMv/S/9er6sf+vGoottvzV+Wo9OvmqHNmQd9FxjgYRTefOjOO+9UVlaW7rjjDr344ouKi/tf1X7SpEnq0aOHampq1KZNGzVu3NhgpAB8JS0tTa+++qrS0tJMhwIDgin/7321VS/8a32Dts3cU6yRd86VgzOOsJBV+6Xn1jVs26JqaeKSQ3fGAN4WTGORaQ+vlLbWf679CN9kSe9t8248AHxr2fp9uu4vCxs0xy0urdZFd87V3v3lPogMpjEWB7dgyv83C3fr3peWNWjbvQcqNPzWOSqvYB1uBCYKbz6yadMmffLJJ0pKStKzzz5b5zannXaaJKlHjx5H/D4zM1MjR45UXFycEhMTNX78eO3fv9/rMQPwPrvdrpKSEtntdtOh+FSZ3a78yso6f4JJsOTf6XTq2bcbWHH4f6s379ecxVleigimBeMx4P1f/vcsp4bIr5Rm7fZaOECtYBmLTNtSKP3k4s0rH/0qVZIWywrGsTDYvfT+etXUd7trHfILKvTOF1u9GBH8RbCOxRwHDwmm/D/3zlqXtt+RXaJP5vzqpWjgD6x8HOAZbz4ydepUORwOjRs3To0aNapzm+joQ8+z+W3hrbi4WEOGDFGTJk00depUlZeXa9KkSRoxYoQWL16skBBqp0Ag27Ztm8aPH6/3339fXbp0MR2OzzyxZaOe2LLRdBjGBUv+5y/N0dadrq+b9/onmzT8jJO8EBFMC7ZjwJ5SaXGe6+2m75AubyvZeM4TvChYxiLTpu9wvU1hlTQvW7qQodCSgm0sDHY5+8r0+bwdLrd7c9omTZrQXaGhnPuxsmAdizkOHhIs+V+/9YAWrnL9S9Hrn2zStaM6eSEi+AMrHwcovPnI/PnzJUlDhgypd5usrENX9v+28DZlyhTt2bNHCxYsqL3lODU1VQMGDNCMGTN08cUXey9oAPCSG9La6dJWdZ9FGr7kRx9HA2+bt3SPW+2+/XmPnE6nbFQdLCfYjgHL8yV3Fk7dUSLlVUgtoz0eEgAfW7bPvXZL9lF4s6pgGwuD3Y8rcly62+2wXTml2rarSF3aJng+KMAwjoPBZd7SbLfaLd+Qr8LiKsXHRXg4IvgDKx8HKLz5yM6dOyVJrVu3rvP1mpoaLV68WNKRhbdZs2Zp0KBBR6zz279/f7Vr104zZ850q/DWu3dv5ebmutwOwPGNGTPGpe337j205tDs2bO1cuXKBrUZPXq0y3GdqOiQEGX07O+x/XVo1EjnNGvhsf3VpVOnTip3uLKwm2e48hlwJ/+Smc/AiTgYc6EU1dfldlXVDqWe1EY2WXfJjZyEu6WQeOXk5ig1NdV0OMfkyeOAlY8BdYk5+wY1HvOYW21PH3y2anKsu8xUi9d2yhYSKrvDrtTUuufJcI1V5yKBrvnzaxUS19Tldl98PUf/Gnm9FyLyH4FyHGA+jBNRGnmaFDvSrbaDzzpfEXb3LmQLBIE0H24oq47FHAcbjvMCRyuKOkuKqf+GlGPp3K2Xwhyur6ITKALpOBhoxwF3jgGO32w/aNAgrV692q2+Kbz5SGlpqSSpvLzuB+N+8sknys/PV1xcnNq2bVv7+4yMDI0dO/ao7bt166aMjAy3YsnNzdWePdadtAEmHf5bb6jDx4Ty8vIGtzXx9xsTGir19Hm3JyQ7O1tlBtZId+Uz4E7+JTOfgRPS8oAU5UY7Z42y9+zyeDh+Jc4uhUgOu93v8xpoxwFTx4C6JOVlq7GbbXN2blfVPv/+bJyIFs7/v/rf6fT7v4FAYdW5SKBLLCtWpBuFt9KD+ZZ/vwPlOBBo46DkX2Nh0EtIlWLda7ovb7dUmePZePxJAM2HG8qqYzHHwYbjvEAdkvZJMe41zduzQ3KUeTQcvxJAx8FAOw6c6DEgL8+NZ0b8PwpvPtKyZUsVFBRo1apV6t//yKpwTk6O7rvvPknSKaeccsSSWgUFBUpISDhqf02aNNGWLVvcjgWAd8TGuvZt6vCkKjo6usFtU1JSXI7rREUH4PMkW7VqZeTKNlc+A+7kXzLzGTgR5eEFOuBGu4iaLDULsH+rq3JCQ+WQFBIaqmQ//7cG2nHA1DGgLmEFhx4I7urSqfYDe9QsSpKffzZOyOH3w2YLuGObv7LqXCTQOXatkVq0cbldeO4m67/fAXIcCLRxUPKvsTDY1YSUKk+SnE6XHt4a4ihVy6Rw2eS/fxsnKpDmww1l1bGY42DDcV7gaJVhRcqXXD4Ohtn3qXlyomxK9FpspgXScTDQjgPuHAMcDodycg5d8NKihft341F485GhQ4dq06ZNev7553XuueeqU6dDD4Vcvny5rr76auXn50uSevbs6fVYVqxY4fU+gGC1fPlyl7avqanRtddeq7i4OIWFNeyQ/Morr7gR2YlxVlSo5rJrfN7vidi6datsUe7cZnViXPkMuJN/ycxn4ETU1DjUZtgn2rPXtSvU3v/rBF0+7EkvReUfUodO1Z69ZUpumaysDVmmwzmmQDsOmDoG1OfGRdLqA649r/COASm6ftdOL0XkH/rOkBySQkNCa593jBNj1blIoFu9X7pxsWttokOlH957So3Cn/JOUH4iUI4DgTYOSv43Fga74bfO0X8Xu/YZn3Rjfz070dpzgUCaDzeUVcdijoMNx3mBozmdTvW67Eut3eLaZbkvPXSR7hz3gJei8g+BdBwMtOOAO8eA0tJSNWrUSJK0aNEit/sOrBJlAJs0aZKaNm2q3bt3q1u3burevbs6duyovn37ql27djr77LMlHfl8N0lKTEzUwYMHj9rfgQMH1KRJE1+EDsCLwsLClJiY6NLkCtYRLPkPCwvRxHHdXGrTulUjjT7Hf5/zArhqXHvXto8Jk0alHX874EQFy1hkWs8mUnqCa20ubi01CvdKOAAMuOtq1+bD0ZGhunlMFy9FA3/CWBzcgiX/NptNd199skttmsRHavxFHbwUEeBdFN58JDU1VQsXLtSFF16oqKgo7dixQ02aNNFbb72lr7/+Wlu3bpV0dOGta9eudT7LLSMjQ127dvVJ7AC8JysrS/fcc49fX90L7wmm/N9zTXddPqzt8TeUlNg4QrNePVcR4aFejgrwnbOSpQkdG7ZteIj0Qm8piZsU4APBNBaZZLNJL/SRWjTw77p3kvRHvu4BlnLegFQ9/cfTGrRtaKhNU18YojYpcV6OCv6AsTi4BVP+r76og+64Mr1B20ZHhuqrvw1VQuNIL0cFeIe1S+l+pmvXrpo1a9ZRvy8pKdGOHTsUEhKik08+svI/YsQIPfTQQ8rKylJqaqokaenSpdq+fbsmT57sk7gBeE9JSYkWLlyoG2+80XQoPnFmUnNVXXTZMbc53utWEkz5Dwmx6aNnz1KrZjF6beomVdfUvcb2yR0S9emLZ6truwTfBgifCPZjwG1dpPgI6a3NUnk9z3duES09eap0alPfxobgFUxjkWkto6V3z5AeXCGtK6h7G5ukC0+SHjxFiuD6E0sK9rEw2D30f+3deZieVX0//vczSUjIzGRlSUjIRhLIRpIKsSFIAcEKArFWKooKLtWvLcjXqsHKjxZc2az9iq1CW4u1CihpawxVbA0EiMoWwhYgLAmSVWJCkpnsmef3R0pqTIDM5J65JzOv13XNBTP3OffzmTkzz3ky7znn/Omk9Kk/KJ/5fw9mQ+O2vbYZeGjP3PT5N+UtJwxu4+ooS2ebiz0P7q4zjX+lUsnXPvP7Oaxfj3zpHx/J5i17/0fRiMH1ufnqUzJlwqFtXCFtpTM8Dwje2oEnnngi1Wo1o0ePTs+ePXe79pGPfCTXX399pk+fniuvvDKbN2/OjBkzMmXKlEyfPr2kigGg+bp0qcnffPr3M+MDx+af/m1R/n3OC1mzbkt6dO+SCaP65mN/MiZ/cNyAVJpx0DIcSCqV5L1HJW8fkty+NLljafKbLUnXmuTI2p0fP/Hwne8DHdPh/xO+PbE2uW1J8sTLyeYdSV3XZNrhyR8NTY7o+Xp3AQ5kf3be2Lz/nFH57u3P5V9nP5sVqzemS01NRgyuz4ffMTrnnDw03bp5MQB0TJVKJZd/dHL+/Lyx+fasZ3LrT57PS2s356BuNTl6WO989J3H5A+nDU5Njd8LcGATvLUDjz32WJI9t5lMkl69emXOnDm55JJLct5556Vr164566yz8tWvfjU1NV6IAXDgGXBIz1z2kUm57COTyi4FSlHXLXnX8J1vQOc0ru/ON6BzquvZLR8995h89FxnuAGdU7/e3fOJ943PJ5p57hscKARv7cBrBW9JctRRR+11i0oAAAAAAADaD0um2oHXC96AjuvQQw/NJZdckkMPtW91Z2T8ASibuQgAymUu7tyMP3RMVry1A3PmzCm7BKAk/fv3z/nnn192GZTE+ANQNnMRAJTLXNy5GX/omKx4AyjR+vXr89///d9Zv3592aVQAuMPQNnMRQBQLnNx52b8oWMSvAGUaPny5fnsZz+b5cuXl10KJTD+AJTNXAQA5TIXd27GHzomwRsAAAAAAAAUQPAGAAAAAAAABRC8AQAAAAAAQAEEbwAl6t69e44++uh079697FIogfEHoGzmIgAol7m4czP+0DF1LbsAgM5s+PDh+c53vlN2GZTE+ANQNnMRAJTLXNy5GX/omKx4AwAAAAAAgAII3gBK9PTTT2fatGl5+umnyy6FEhh/AMpmLgKAcpmLOzfjDx2T4A2gRNVqNdu2bUu1Wi27FEpg/AEom7kIAMplLu7cjD90TM54A+D1de+ert//dtlVNI+DiaFYB9rzgOcAAIp0oM2DibkQKJbnQeBAex4o8TlA8AbA66pUKkmPHmWXAZTI8wAAnZl5EOjsPA8Cngf2na0mAQAAAAAAoABWvAGUaNiwYbn55pszaNCgskuhBMYfgLKZiwCgXObizs34Q8ckeAMoUY8ePXLUUUeVXQYlMf4AlM1cBADlMhd3bsYfOiZbTQKUaMWKFfnCF76QFStWlF0KJTD+AJTNXAQA5TIXd27GHzomwRtAidatW5dZs2Zl3bp1ZZdCCYw/AGUzFwFAuczFnZvxh45J8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBG0CJ+vXrlwsuuCD9+vUruxRKYPwBKJu5CADKZS7u3Iw/dEyCN4AS1dTUpFu3bqmp8XTcGRl/AMpmLgKAcpmLOzfjDx2Tn2iAEq1evTr/+I//mNWrV5ddCiUw/gCUzVwEAOUyF3duxh86JsEbAAAAAAAAFEDwBgAAAAAAAAUQvAEAAAAAAEABBG8AJaqvr89b3/rW1NfXl10KJTD+AJTNXAQA5TIXd27GHzqmrmUXANCZDRo0KJ/73OfKLoOSGH8AymYuAoBymYs7N+MPHZMVbwAl2rJlS1588cVs2bKl7FIogfEHoGzmIgAol7m4czP+0DEJ3gBKtHjx4vzxH/9xFi9eXHYplMD4A1A2cxEAlMtc3LkZf+iYbDUJwOuqVqvJgfbXV927p1KplF0FdBgH3POA5wAACnTAzYOJuRAAKNQB93qoxNdCgjcAXt+WLdn+JxeUXUWzdP3+t5MePcouAzqOA+x5wHMAAIU6wObBxFwIABTsAHs9VOZrIVtNAgAAAAAAQAEEbwAAAAAAAFAAW00ClOiYY47J/fffX3YZlMT4A1A2cxEAlMtc3LkZf+iYrHgDAAAAAACAAgjeAEr0wgsv5IMf/GBeeOGFskuhBMYfgLKZiwCgXObizs34Q8ckeAMo0aZNm/L4449n06ZNZZdCCYw/AGUzFwFAuczFnZvxh45J8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBG0CJBg4cmCuvvDIDBw4suxRKYPwBKJu5CADKZS7u3Iw/dExdyy4AoDPr3bt3zjjjjLLLoCTGH4CymYsAoFzm4s7N+EPHZMUbQInWrl2bH/zgB1m7dm3ZpVAC4w9A2cxFAFAuc3HnZvyhYxK8AZRo1apVufbaa7Nq1aqyS6EExh+AspmLAKBc5uLOzfhDxyR4K8Hq1aszY8aMjBw5Mj169MiRRx6ZSy65JI2NjfnQhz6USqWSr3/962WXCVC4uat/nYN+9P38zXNPvWqbg370/bz9vnvasCpoe9VqNQ88/lI2bt6eJNmydUe2b28quarW5zmA3/b8hqT6P/9fTbJ5R5nVAG1ty47k57/e/XmgMzAXwv9atGRdNv3P6+HNW3akceO2kisCaFuPLlqz2/Pglq2d4x9FneH1kDPe2tiCBQtyxhlnZOXKlamtrc3YsWOzfPnyfO1rX8tzzz2XNWvWJEkmTZpUbqEAQOG2bWvKP/9wUf7ulifz6KI1uz6++uUtGX7G9/PRc4/On583Nn17dS+xSmg91WrysxXJrc8nD6/5rY8nedtPk3OGJOeNSA4/uLQSgVb2603Jzc8ns36VrPut37FXk/zpvcm5w5PTj0gqldJKBFpRtVrND+98Idd/b2Hm3L9i18d/s25LBp1+Sy48Z1T+73vHZdig+hKrBGg9TU3VfO8/n8vf3bIwv3z0pV0f/826LRnyllvy4XccnY+fPy6H9/ePogOZFW9taPXq1Tn77LOzcuXKfPKTn8yKFSsyf/78rFy5MldffXVuv/32PPDAA6lUKjn22GPLLhcAKFDDxm05++Kf5qOfm7db6PaKpasac/nX52fqe3+UF5ZvKKFCaF07qskXHkk+8+Duodsr1m1LvvNc8r65yZMvt3l5QBt46uXkfXfv/Flft5eFLQ+vST77UPK5BTufM4COpampmkuu/mX+6P/+bLfQ7RXrNmzN//vuE3nDeT/MzxfYdg/oeLZu25HzP3NX3vfZubuFbq/49ZrN+dI/PpLjzvthnnjWuX8HMsFbG/r4xz+epUuX5qKLLsp1112X+vr//eudGTNmZOLEidm+fXuGDRuWXr16lVgp0FZ69uyZN77xjenZs2fZpVAC49957NjRlPNm3Jk7fr7sdds+vWRd3vLRO7Jm3ZY2qAzazt88nvzwV6/fbs3W5KJfJC82tH5NmItoO0sbk4t+mfxmH6a3H72YXPdY69cEtK3Lrn8w139v4eu2W7NuS878s59m4XOd45fO5uLOzfh3HtVqNR/93Lzc8pPnX7ft0lWNecv/+UleXOkfRQcqwVsbefLJJ3PrrbfmkEMOyZe//OW9tnnDG96QJJk4ceKuj70S1E2ZMiXdu3dPxX4b0KEMGTIk119/fYYMGVJ2KW1q444dWb1ly17fOpPOOv6d0ey7X8ztd7+4z+0XvbAuf/uvj7diReXyHND5PLc+uXXxvrdfty355tOtVw//y1xEW/nmU8nLW/e9/Q+WJM+ub7VySmcupLN5fun6XP2tR/e5/bqGrfnM3z7YihW1H+bizs34dx73PfpSbvrhM/vcfvmvN+YLNy5ovYLagY78esgZb23k5ptvTlNTU84///zU1dXttc3BB+/ct/W3g7dnn302M2fOzPHHH5+DDjoo8+bNa5N6gbaxY8eObNq0KQcffHC6dOlSdjlt5nNPP5HPPf1E2WWUrrOOf2f097c+2ew+/zDz6fx/H5mUg7p1vO8NzwGdz21Lmt/nZ8uTvxiX9O9ReDn8FnMRbWHNluS/lze/321Lks900FMYzIV0Njf84KlUm7mF7Oy7f5UlyzZ0+PPezMWdm/HvPFrye4F/nf1crvnElPSuP6gVKipfR349JHhrI3PmzEmSnHLKKa/aZunSpUl2D95OOumkrFixc9/rK664QvAGHcwzzzyT97///fmXf/mXHHPMMWWX02Y+PGRE/viII/d67Yxfzm3jasrTWce/s1m5emN+ug9bTO7Zb1P++5fLc+ab9v6zciDzHNC5VKvJfy5tfr/t1eS/lifnjSi+Jv6XuYi28NNlO3+mm+s/X0xmTEhqOuDGL+ZCOpt/+dGzze5TrSbf+8/n8tk/nVR8Qe2IubhzM/6dw+Yt23PrHa+/xeTv2rh5e/7tZ0vygbePboWqyteRXw8J3trICy+8kCQZOnToXq9v3759V6j228FbTU3xu4Eed9xxWblyZeH3BZJ3vvOdzWr/61//Okny4x//OA899NA+9fmjP/qjZte1vw6uqcnCSVMLu9/Iurq8+dDDC7vf3owePTqbmppa9TH2pjnfAy0Z/6Sc7wFabmuXAUnvj7Wo7/kXXpTaLfv+vdGainwe6MjPAeyp0r02h3+1ZftGXvE3f59P/ceXCq6oY+uor0U4sNVN/0zq/vCiZvfbuCMZOmpMqps3tEJVzeP1MLRcNZWs7HdFi/p+6dpv5O+vvL3QelqbuRi/F+B37ajUZ2vfT7Wo7yWfuiKXX3R3wRW1zIH2eqglr4Wafqv9iSeemIcffrhFjy14ayONjY1Jkk2bNu31+q233prVq1envr4+w4cPb9VaVq5cmWXLmv+X98Dre+VnfV+98pywadOmfe5bxs9vzy5dkklt/rD7Zfny5dm4Y0ebP25zvgdaMv5JOd8D7IceNUnvlnV9ee2avLy2fYz3gfY8UNZzAHuq6d4zLf2n1Ib167Lcc16zdNTXIhzYjli/Pns/cOH1LV++NE2bGgqtpyUOtHkwMRfSnlSSvk1Jpfl/XN7YsCGNKw6secdcjN8LsIeuvZO+Leu6Yf26bHipfYz3gfZ6aH9fC61atarFfQVvbWTAgAFZu3Zt5s+fn6lTd0+FV6xYkU9/+tNJkmOPPTaVSuvuozFgwIBWvT90ZrW1tc1q/8qLqoMPPnif+w4aNKjZde2vg1th9W1rO+KII0r5C9/mfA+0ZPyTcr4HaLkdlR5ZWW3ZLxr690p69Gwf432gPQ+U9RzA3jVt+E1q6vs3u1/PrS97zmumjvpahAPbwVvXtahfU8PaDOzXOy3+C5YCHWjzYGIupH1Z2bQuO7o0/7fOvXpuT/0BNu+Yi/F7AX5XNV2yorol1Ur3ZvftW9eUnge1j/E+0F4PteS1UFNT066jvw4/vOWr8QRvbeS0007Lk08+mauvvjqnn356Ro/euS/rAw88kPe9731ZvXp1kmTSpEmtXsuDDz7Y6o8BndUDDzzQrPZPPfVUbr755pxxxhn7vJf33/7t37agsv1T3bw52//kgjZ/3P2xaNGiVHr0aPPHbc73QEvGPynne4D9845P/Hf+/WcvNKvPsCPq8uzDc9OlS/t4YXugPQ+U9RzA3n1tYfIvzTzapXtNMv87V6e+29WtU1QH1VFfi3Bg27AtOeOnyeZm/sHxBRP75pKlLTgkshUcaPNgYi6kffncNx/OX//9/Gb16da1Jovu+3YO739wK1XVOszF+L0Ae/Oxz8/LN3/wVLP69O11UJbe96P0PLh9xDgH2uuhlrwWamxsTF3dzr0a7r333hY/dvv4TU4nMGPGjPTv3z8vvvhixo0blwkTJmTUqFGZMmVKRowYkVNPPTXJ7ue7AR3fyJEjc8cdd2TkyJFll0IJjH/n8efvGtvsPv/nT45pN6Eb7K93DE2au6fDGYOT+m6tUg6/xVxEW6jvtvNnujkqSf54WGtUA5Thw+8Yna5dmvdq4J2nDzvgQreWMBd3bsa/8/izd41pdp8PvH10uwndaB6/zWkjgwcPzj333JO3ve1t6dGjR5YsWZJ+/frlhhtuyO23355FixYlEbxBZ9O1a9f07ds3XbuaRDsj4995nPrGgblw+qh9bn/8+ENy0XnND+ugvRpcm/yfff8D3gw8uHntaTlzEW3l/xydHNFz39t/9Oidzx1Ax3DEYbW59i+mNKN9z1z1f49vxYraD3Nx52b8O48Jo/vl0g8eu8/tjx7WO5f96aTWK4hW5Se6DY0ZMyazZ8/e4+MNDQ1ZsmRJampqMn78+BIqA8qydOnSfPWrX80nPvGJDB7czD8DPgD9wSGHZevZf/KabV7vekfS2ca/M6tUKrnxr05MtZp8e9Yzr9l26sTDMutrp6e2Z8db6uM5oHP74Khke1PyD4teu92RtcnX3pgcYne0NmEuoq3075H8/dTk479MftX42m0/NHrnW0dkLqQz+7/vG58t23bkM3/72kegDD2iLj/++z/MkIF1bVRZuczFnZvx71y+9PHjsm17U/7mXx5/zXbjR/bNf/79W9Kvd/PPhDsQdIbXQ1a8tQNPPPFEqtVqRo0alZ499/wTwNtuuy233XZbFi5cuNv7zmqDA19DQ0PuueeeNDQ0lF0KJTD+nUu3bjX558+/KbO/fnredtKRqfzOTjvHjz8k//z5N2XOP56RQ/pKHOh4KpXko8ck/3Ri8tZBSdff+RkYWpd8cnzynZOSIzvH79naBXMRbWlwbfIvJyWfGp8M+52f866V5A8HJf84LfnYMdljngQ6hks/ODH3f++cXHDOqHQ/qMtu1446sj7XfXJKHv7+2zNmRJ9yCiyBubhzM/6dS01NJV/51Btz5z+dmXPfMnyPLXjHj+ybv7/shPziX8/OkQP8o+hAZsVbO/DYY48lefVtJs8999y9vn/BBRfkpptuatXaAIDiVCqVvO2kIXnbSUOybFVjXljRkO3bmzLw0J4ZNbR32eVBm5jYb+fbp8YnLzYmW5qSPgclR9X7RTt0BnXdkvNGJO8anjy/IVm7Neles3O1a5+O+UfdwO84fvyhuekLh+ZvPv3GPPPCumzasiP9enfP+JF9U1PjxQDQ8Z18/MCcfPzA/Po3m/Lc0vXZuq0ph/U7OMcM752KfxR1CIK3duD1grdqtdqW5QAAbWDQ4bUZdLjDa+i8+nT3S3bozCqV5KheZVcBlKlf7+5547GHlV0GQGkO639wDut/cNll0ApsNdkOvF7wBgAAAAAAQPtnxVs7MGfOnLJLAEpy6KGH5pJLLsmhhx5adimUwPgDUDZzEQCUy1zcuRl/6JgEbwAl6t+/f84///yyy6Akxh+AspmLAKBc5uLOzfhDx2SrSYASrV+/Pv/93/+d9evXl10KJTD+AJTNXAQA5TIXd27GHzomwRtAiZYvX57PfvazWb58edmlUALjD0DZzEUAUC5zcedm/KFjErwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AZQou7du+foo49O9+7dyy6FEhh/AMpmLgKAcpmLOzfjDx1T17ILAOjMhg8fnu985ztll0FJjD8AZTMXAUC5zMWdm/GHjsmKNwAAAAAAACiA4A2gRE8//XSmTZuWp59+uuxSKIHxB6Bs5iIAKJe5uHMz/tAxCd4ASlStVrNt27ZUq9WyS6EExh+AspmLAKBc5uLOzfhDx+SMNwBeX/fu6fr9b5ddRfM4mBiKdaA9D3gOAKBIB9o8mJgLAYBiHWivh0p8LSR4A+B1VSqVpEePsssASuR5AIDOzDwIAHR2Xg/tO1tNAgAAAAAAQAGseAMo0bBhw3LzzTdn0KBBZZdCCYw/AGUzFwFAuczFnZvxh45J8AZQoh49euSoo44quwxKYvwBKJu5CADKZS7u3Iw/dEy2mgQo0YoVK/KFL3whK1asKLsUSmD8ASibuQgAymUu7tyMP3RMgjeAEq1bty6zZs3KunXryi6FEhh/AMpmLgKAcpmLOzfjDx2T4A0AAAAAAAAKIHgDAAAAAACAAgjeAAAAAAAAoACVarVaLbsIgM5qxYoVueGGG/LRj340AwcOLLsc2pjxB6Bs5iIAKJe5uHMz/tC+NDY2pq6uLknS0NCQ2traFt1H8AYAAAAAAECnVlTwZqtJAAAAAAAAKIDgDQAAAAAAAAogeAMAAAAAAIACCN4AAAAAAACgAII3AAAAAAAAKIDgDQAAAAAAAAogeAMAAAAAAIACCN4AAAAAAACgAII3AAAAAAAAKIDgDQAAAAAAAAogeAMAAAAAAIACCN7Yq7vvvjvTp0/P0KFDU6lU8oUvfKHskgAAAAAAANo1wRt71dDQkLFjx+aaa67JgAEDyi4HAAAAAACg3etadgG0T2eeeWbOPPPMJMmll15acjUAAAAAAADtnxVvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUICuZRdA+9TQ0JBnn302SbJ169asXLkyCxYsSF1dXUaOHFlydQAAAAAAAO1PpVqtVssugtd20003ZcmSJbnwwgszbNiwNnnMu+66K6eccsoeH/+DP/iD3HXXXW1SAwAAAAAAQFtobGxMXV1dkp2Lk2pra1t0H8HbAeDkk0/O3Llzc+edd+bkk08uuxwAAAAAAIAOpajgzRlv7JfnXliexk2byy4DAAAAAACgdM54o8U2b9maf/2P/8qOpqb82XunZ8Ch/couCQAAAAAAoDRWvO2HdevW5fLLL8/48ePTs2fP1NfX57jjjstXvvKVbNmyZbe2d911VyqVymtuFTls2LBUKpUsWbJktz5z585NkpxyyimpVCq73q644opW+sz2zbyHHs+mzVvSp742h/XvU2otAAAAAAAAZbPirYWWLFmSN7/5zXn++efTpUuXjB8/Ptu2bcv8+fPz0EMP5fvf/37uuOOO9OnTp8WP0bt370ybNi2PPfZY1q9fn/Hjx6d37967rg8ZMqSAz6RlNm/ZmnsfeCxJ8uYTfi81NTJcAAAAAACgcxO8tdB73vOePP/88znuuOMyc+bMXSHYo48+munTp+f+++/PxRdfnO985zstfozJkyfn3nvvzcknn5y5c+fm+uuvf80Vc23pldVuh/XvkwnHjCi7HAAAAAAAgNIJ3lrgzjvvzC9+8Yt06dIlt956624rz4499th861vfyqmnnprvfe97+dznPpfhw4eXWO2erv/2v2VDw6YW96+mmg0NG5MkGxo35apv3FxUaQAAAAAAAG1u65bNu/7/G9/9YT71kfe06D6Ctxb4yU9+kiQ555xzMmLEnqu9TjnllEycODGPPPJIfvrTn+ajH/1oW5f4mjY0bMr6hsZC7rVp85ZsypbXbwgAAAAAANBObd36v1lHw34sXhK8tcCiRYuSJOPHj3/VNhMmTMgjjzySp59+uq3K2mf1dQe3uO9vr3Y7uEf3dOvqWwgAAAAAADiwbd3SZdf/1+1HjiI1aYENGzYkSQ4//PBXbfPKtVfaticXX/COFvf92c/n57/ueTCH9e+T//vBd6ampqbAygAAAAAAANpeY2Njrvzkh5MkHzt/eovvI3hrgfr6+iTJqlWrXrXNK9deaVupVJIk1Wr1Vfs0Nhaz/ePraekZb852AwAAAAAAOqJqtZq//so/Jkn+6Qc/yccv/OMW3Ufw1gKjR49Okjz++OOv2uaVa0cffXSSpLa2Nsmrh3Uvv/xyVq9evddrr4R2RSnijDdnuwEAAAAAAB1RQ+PmFvcVvLXAGWeckWuuuSazZs3K888/nxEjRux2fe7cuVmwYEFqamrylre8JUly1FFHJUkWL16cl156KYceeuhufb7xjW+86uMdfPDOvUQ3bWr5YX6/rSVnvDnbDQAAAAAA6AxakqO8QnrSAieffHJOOOGE/PznP8+73vWuzJw5M0OGDEmyc6XbBz/4wSTJe97zngwfPjxJ0rdv3119Lr744tx0003p0aNHkmTmzJn54he/mG7dumXbtm17PN4rod2dd96ZM844Y7/rb8kZb852AwAAAAAAeG2V6msdOsarWrJkSU499dQsXrw4Xbp0yfjx47N9+/YsXLgw1Wo1U6ZMyR133JE+ffrs6jNv3ryceuqp2bp1a+rr6zN69OisXLkyy5Yty1/91V/l29/+dl544YUsXrw4w4YN263fm970plSr1YwcOTJHHHFEKpVKLrzwwlx44YWt/rlu3rI1V3/z5mzavCXvPvvUTBw7stUfEwAAAAAA4EBj2VILDRs2LPPnz89ll12Wo48+OosWLcqSJUsyefLkXHvttZk7d+5uoVuSTJs2LXPmzMmb3/zmVKvVPPXUUxk8eHBuueWWXHnlla/6WNOmTcstt9ySqVOnZtWqVbnnnnsyd+7cLFmypHU/yf8x76HHs2nzlhzWv08mHDPi9TsAAAAAAAB0Qla88brmP74od9z9QM48+Y1WuwEAAAAAALwKwRv7ZPv2HampqTjbDQAAAAAA4FUI3gAAAAAAAKAAli8BAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAF6PTB27nnnptKpZKbbrqp7FIAAAAAAAA4gHUtu4CyPfLII0mSSZMmFXK/6667Lg0NDfnEJz6R3r17F3JPAAAAAAAA2r9KtVqtll1EWRobG9OrV6906dIlDQ0NOeigg/brfuvWrUvfvn3To0ePbNiwIV26dCmoUgAAAAAAANq7Tr3i7fHHH09TU1MmTJiw36FbksyfPz/VajUTJkwQur2OrTuSXzUmm7Yntd2SIbVJ106/8SkAAAAAAHAg69TBW9HbTM6fPz9JMnny5ELu1xEt35jMXJL88FfJy1v/9+OHH5y8Y2jy9iFJ/x6llQcAAAAAANBiHX6N0W9+85tceumlGTVqVHr06JGRI0fm2muvTbVazaOPPpokmThx4m59lixZkmuvvTZvfetbc9RRR6W2tjY9e/bMxIkTc9VVV2Xr1q27tZ85c2YqlUo+9alPJUluuOGGVCqVXW9f+tKXWnzvjuSuFcm5c5JvP7t76JYkqzYl33gq+ZM7k0fWlFMfAAAAAADA/ujQK94WLFiQM888MytWrEjPnj0zduzYLF++PDNmzMivfvWrV13x9vnPfz7f+ta3UltbmyOOOCLjxo3Lr3/96zz66KN59NFH88ADD2TmzJm72jc2NmbatGl56KGHsnnz5kyePDk9e/bcdf2EE05o8b07il/8Orn0wWTH65wouG5bcvEvkn84MTm6d9vUBgAAAAAAUIRKtVp9nSjkwPTSSy9l8uTJWbZsWf7iL/4iV1xxRerr65MkV111VT772c/moIMOypYtW7JmzZr07dt3V99bb701o0aNyuTJk1OpVHZ9/MEHH8xZZ52VVatW5dFHH82ECRN2XWtqakp9fX02btyYtWvXpk+fPnutqyX3PtBtb0rO+q9k9ZZ97zO2T/IvJ7VaSQAAAAAAAIXrsFtNXnTRRVm2bFkuvvjifOUrX9kVuiXJZz7zmUyaNClbtmzJkCFDdgvdkuRd73pXfu/3fm+3YCxJjjvuuJx++ulJkieeeGK3a4sWLcrGjRszdOjQVw3dWnrvA91dK5sXuiXJwpd3vgEAAAAAABwoOuRWk48//nh+8IMfpG/fvvniF7+41zZTpkzJww8/vMf5bkmyZcuWzJo1K3Pnzs3ixYuzYcOGNDU1JfnfUOyggw7arc+CBQuS7Llt5f7ee/Hixbnkkkty5513pmvXrjn77LPz1a9+Nf3793/9L8TvqFar2bhxY5KkZ8+ee4R/rWXWr1rW74cv7Fz5BgAAAAAAcCDokMHbLbfckmq1mne/+927rXT7bd26dUuyZ1D2s5/9LB/4wAfy4osvvuZjjBgxYrf39yV4a+69N2zYkFNOOSX9+vXLzTffnE2bNmXGjBk566yzMm/evNTUNG/B4saNG1NXV5ckGThwYLP7t9Qhfz03XQ8/qtn9vvefd+Xv3vbeVqgIAAAAAABg7wYMGJAHH3ywRX07ZPB25513JklOO+20V23z/PPPJ9k9KLvvvvty5plnZtu2bfnQhz6U888/P+PHj0/fvn3TtWvXPPXUUxkzZky6du2aMWPG7Ha/1wveWnLvG2+8McuWLcvdd9+dIUOGJEkGDx6cE044IbNmzcrb3/72Fnx1dlqxYkWL+zZXn6Zqi77RtmzblmXLlhVeDwAAAAAAQGvokMHbKyvKhg8fvtfrmzdvzr333ptk96DsL//yL7N169ZcddVVufTSS/fod/vttydJxo4dm+7du+927fWCt5bce/bs2TnxxBN3hW5JMnXq1IwYMSI/+tGP9it4a8sVbzWNv0kystn9um1Zl0GDBhVfEAAAAAAAwKsYMGBAi/t2yOBtw4YNSZLGxsa9Xv/ud7+b9evXp1evXrvCuR07duTuu+9OknzgAx/Yo09TU1O++93vJkkmT56827VVq1Zl1apV6dOnT4YNG7ZH35bee+HChTn33HP3aD9u3LgsXLhwr5/bvnrmmWdSW1u7X/fYVzOXJF9+tPn9/umSd+b3v/jOwusBAAAAAABoDW2z5KmNDRw4MEnyy1/+co9rq1atyuWXX54kOfbYY1OpVJLsDOl27NiRZOeKuN/1la98JQ8//HCSPYO3p59+OkkyevTovdbT0nuvXbs2ffr02aN9v379smbNmr0+Vnt0xuCktpkR75G1yZRDW6ceAAAAAACA1tAhg7dXzna7+uqrdwVaSfLII4/ktNNO23W+2W9vC9mrV69d2xp+8Ytf3BWUbd26Nddee20uv/zydO26Mz363eDtlZVjS5cu3esqu/25d0fQs2ty8dh9b1+T5JPjk5pKq5UEAAAAAABQuA4ZvM2YMSP9+/fPSy+9lOOOOy5jx47NMccck0mTJuWll17K1KlTk+x5Httll12WJLnxxhszaNCgHH/88TnssMNy2WWX5frrr0+1Wk2lUtmj37hx4zJkyJAsX748Q4YMydSpU3PiiSfmm9/85n7du2/fvnn55Zf3+PzWrFmTfv367f8Xqg29c1hy0ZjXb9elklwxOTnx8FYvCQAAAAAAoFAdMngbPHhw7r333px11lmpra3NkiVLUq1Wc8kll2TBggW7zoD73QDtYx/7WG688caMGjUqa9asyfLly3PWWWfloYceypQpU7Jjx46MGDEivXr12q1fjx498uMf/zjTp09Pt27dct9992XevHmpq6vbr3uPGTNmr2e5LVy4MGPG7EOK1c5cOCr5u6nJtMOS313M1qWSvGVQ8q0TkzOPLKU8AAAAAACA/VKpVqvVsotg76677rp89rOfzfPPP5/BgwcnSe677778/u//fv7t3/4tf/RHf9Ss+zU2Nu4KAxsaGnZtkVmGpY3JH/0sqWZnCPfjtySH9CitHAAAAAAAgP0meGvH1q9fnwkTJuSQQw7JlVdemc2bN2fGjBk59NBD84tf/CI1Nc1bsNiegrckmTIracrOZZf3n1NqKQAAAAAAAPutQ2412VH06tUrc+bMycCBA3Peeeflwx/+cE444YTMnj272aEbAAAAAAAAratr2QXw2o466qjMnj277DIAAAAAAAB4HZZNAQAAAAAAQAEEbwAAAAAAAFAAwRsAAAAAAAAUQPAGAAAAAAAABRC8AQAAAAAAQAEEbwAAAAAAAFAAwRsAAAAAAAAUQPAGAAAAAAAABRC8AQAAAAAAQAEEbwAAAAAAAFAAwRsAAAAAAAAUQPAGAAAAAAAABRC8AQAAAAAAQAEEbwAAAAAAAFAAwRsAAAAAAAAUQPAGAAAAAAAABRC8AQAAAAAAQAEEbwAAAAAAAFAAwRsAAAAAAAAUQPAGAAAAAAAABRC8AQAAAAAAQAEEbwAAAAAAAFAAwRsAAAAAAAAUQPAGAAAAAAAABRC8AQAAAAAAQAEEbwAAAAAAAFAAwRsAAAAAAAAUQPAGAAAAAAAABRC8AQAAAAAAQAEEbwAAAAAAAFAAwRsAAAAAAAAUQPAGAAAAAAAABRC8AQAAAAAAQAEEbwAAAAAAAFAAwRsAAAAAAAAUQPAGAAAAAAAABRC8AQAAAAAAQAEEbwAAAAAAAFAAwRsAAAAAAAAUQPAGAAAAAAAABRC8AQAAAAAAQAEEbwAAAAAAAFAAwRsAAAAAAAAUoNMHb+eee24qlUpuuummsksBAAAAAADgANa17ALK9sgjjyRJJk2aVMj9rrvuujQ0NOQTn/hEevfuXcg9AQAAAAAAaP8q1Wq1WnYRZWlsbEyvXr3SpUuXNDQ05KCDDtqv+61bty59+/ZNjx49smHDhnTp0qWgSovR2NiYurq6JElDQ0Nqa2tLrWfKrKQpO5dd3n9OqaUAAAAAAADst0694u3xxx9PU1NTJkyYsN+hW5LMnz8/1Wo1EyZMaHehG+1H4/bkx0uT/1qWrN2adK0kQ+uSdwxNjjskqVTKrhAAAAAAAGiJTh28Fb3N5Pz585MkkydPLuR+dCzVavLd55J/WLQzfPtti9Yn/7U8GV6XfP4NyTF2KQUAAAAAgANOTdkFtLbf/OY3ufTSSzNq1Kj06NEjI0eOzLXXXptqtZpHH300STJx4sTd+ixZsiTXXntt3vrWt+aoo45KbW1tevbsmYkTJ+aqq67K1q1bd2s/c+bMVCqVfOpTn0qS3HDDDalUKrvevvSlL7X43nQcX38y+duFe4Zuv21xQ/Kn9yaPrWm7ugAAAAAAgGJ06BVvCxYsyJlnnpkVK1akZ8+eGTt2bJYvX54ZM2bkV7/61auuePv85z+fb33rW6mtrc0RRxyRcePG5de//nUeffTRPProo3nggQcyc+bMXe0bGxszbdq0PPTQQ9m8eXMmT56cnj177rp+wgkntPjedAw/XZZ8+9l9a7tpR/KJ+5P/eHNS16116wIAAAAAAIpTqVar1bKLaA0vvfRSJk+enGXLluUv/uIvcsUVV6S+vj5JctVVV+Wzn/1sDjrooGzZsiVr1qxJ3759d/W99dZbM2rUqEyePDmV3zpw68EHH8xZZ52VVatW5dFHH82ECRN2XWtqakp9fX02btyYtWvXpk+fPnutqyX3LkpjY2Pq6uqSJA0NDamtrS38MZpjyqykKTuXXd5/TqmltLr3350sfLl5fT49IXnX8FYpBwAAAAAAaAUddqvJiy66KMuWLcvFF1+cr3zlK7tCtyT5zGc+k0mTJmXLli0ZMmTIbqFbkrzrXe/K7/3e7+0WjCXJcccdl9NPPz1J8sQTT+x2bdGiRdm4cWOGDh36qqFbS+/NgW3hy80P3ZLkB4t3ngsHAAAAAAAcGDrkVpOPP/54fvCDH6Rv37754he/uNc2U6ZMycMPP7zH+W5JsmXLlsyaNStz587N4sWLs2HDhjQ1NSX531DsoIMO2q3PggULkuy5beX+3Hvp0qW56qqrcv/99+eRRx7J1q1bU9QCxVGjRqWmptzc9fCvv5BKTZfsaNqRwYOHllpLa+p56ofT651XNLvfkoZkyDETUm1cW3xRAAAAAADAXg0YMCAPPvhgi/p2yODtlltuSbVazbvf/e7dVrr9tm7ddh6e9btB2c9+9rN84AMfyIsvvviajzFixIjd3t+X4K2593722Wczc+bMHH/88TnooIMyb9681+zXHCtWrCjsXi11+CshYrWaZcuWlVtMKxqwZUd6tbDvr1/ekK2/7rhfGwAAAAAA6Eg6ZPB25513JklOO+20V23z/PPPJ9k9KLvvvvty5plnZtu2bfnQhz6U888/P+PHj0/fvn3TtWvXPPXUUxkzZky6du2aMWPG7Ha/1wveWnLvk046aVdAdsUVVxQavA0cOLD0FW95ZbvNSiWDBg0qt5ZW1POgln+dD+tTl2q3jvu1AQAAAACA9mbAgAEt7tshg7dXVpQNHz58r9c3b96ce++9N8nuQdlf/uVfZuvWrbnqqqty6aWX7tHv9ttvT5KMHTs23bt33+3a6wVvLbl3awZjzzzzTGpra1vt/vtiyqykKUmXmi5ZunRpqbW0pmfWJe+e2/x+o3slDzz1eH7nOEAAAAAAAKCdKnnJU+vYsGFDkqSxsXGv17/73e9m/fr16dWr165wbseOHbn77ruTJB/4wAf26NPU1JTvfve7SZLJkyfvdm3VqlVZtWpV+vTpk2HDhu3Rd3/uzYFvVO9kUr/m93vnsAjdAAAAAADgANIhg7eBAwcmSX75y1/ucW3VqlW5/PLLkyTHHntsKv+TbDQ2NmbHjh1Jdq6I+11f+cpX8vDDDyfZMxx7+umnkySjR4/eaz37c286hvePbF77w3okbx3cOrUAAAAAAACto0MGb6+c7Xb11VfvCrSS5JFHHslpp52269y0394WslevXrvOGfviF7+4KyjbunVrrr322lx++eXp2nXnzpy/G469smXj0qVL97rKbn/uTcdw0oDkz8e8frsk6dUt+X9vTHp2yI1gAQAAAACg4+qQwduMGTPSv3//vPTSSznuuOMyduzYHHPMMZk0aVJeeumlTJ06Ncme57FddtllSZIbb7wxgwYNyvHHH5/DDjssl112Wa6//vpUq9VUKpU9+o0bNy5DhgzJ8uXLM2TIkEydOjUnnnhivvnNb+73vek4PjAq+f8mJv27v3qbCX2Tb71p5/aUAAAAAADAgaVDBm+DBw/Ovffem7POOiu1tbVZsmRJqtVqLrnkkixYsGDXGXC/G3J97GMfy4033phRo0ZlzZo1Wb58ec4666w89NBDmTJlSnbs2JERI0akV69eu/Xr0aNHfvzjH2f69Onp1q1b7rvvvsybNy91dXX7fW86lrcPTWafnnzpDcnJA3a/9q8nJf/8pmRY3d77AgAAAAAA7VulWq1Wyy6C13fFFVfkyiuvzP4MV2Nj464wsKGhYdcWmWWZMitpys709/5zSi2lNL4GAAAAAADQcThFqp277bbbkiQLFy7c7f1hw4bluOOOK60uAAAAAAAAdid4a+fOPffcvb5/wQUX5KabbiqhIgAAAAAAAPZG8NbO2QkUAAAAAADgwFBTdgEAAAAAAADQEQjeAAAAAAAAoACCNwAAAAAAACiA4A0AAAAAAAAKIHgDAAAAAACAAgjeAAAAAAAAoACCNwAAAAAAACiA4A0AAAAAAAAKIHgDAAAAAACAAgjeAAAAAAAAoACCNwAAAAAAACiA4A0AAAAAAAAKIHgDAAAAAACAAgjeAAAAAAAAoACCNwAAAAAAACiA4A0AAAAAAAAKIHgDAAAAAACAAgjeAAAAAAAAoACCNwAAAAAAACiA4A0AAAAAAAAKIHgDAAAAAACAAgjeAAAAAAAAoACCNwAAAAAAACiA4A0AAAAAAAAKIHgDAAAAAACAAgjeAAAAAAAAoACCNwAAAAAAACiA4A0AAAAAAAAKIHgDAAAAAACAAgjeAAAAAAAAoACCNwAAAAAAACiA4A0AAAAAAAAKIHgDAAAAAACAAgjeAAAAAAAAoACCNwAAAAAAACiA4A0AAAAAAAAKIHgDAAAAAACAAgjeAAAAAAAAoACCNwAAAAAAACiA4A0AAAAAAAAKIHgDAAAAAACAAgjeAAAAAAAAoACCNwAAAAAAAChA17ILYKfrrrsuDQ0N+cQnPpHevXuXXQ4AAAAAAADNZMVbO7Bu3brMmDEj11xzTerq6souBwAAAAAAgBYQvLUD8+fPT7VazYQJE9KlS5eyywEAAAAAAKAFBG/twPz585MkkydPLrkSAAAAAAAAWkrwVqKZM2emUqnkU5/6VJLkhhtuSKVS2fX2pS99qeQKAQAAAAAA2Fddyy6gM2tsbMy0adPy0EMPZfPmzZk8eXJ69uy56/oJJ5xQYnUAAAAAAAA0h+CtRO9///vz3ve+N/X19UmSOXPmpE+fPuUWBQAAAAAAQIvYarJkixYtysaNGzN06FChGwAAAAAAwAFM8FayBQsWJEkmTZq01+uLFy/OOeeck/r6+vTt2zfvf//785vf/KbtCgQAAAAAAGCf2GqyZK8VvG3YsCGnnHJK+vXrl5tvvjmbNm3KjBkzctZZZ2XevHmpqWl5bjpq1Kj96l+Ew7/+Qio1XbKjaUcGDx5aai1l8TUAAAAAAID2ZcCAAXnwwQdb1FfwVrLXCt5uvPHGLFu2LHfffXeGDBmSJBk8eHBOOOGEzJo1K29/+9tb/LgrVqxocd+iHF6t7vyfajXLli0rt5iS+BoAAAAAAEDHIXgr2WsFb7Nnz86JJ564K3RLkqlTp2bEiBH50Y9+tF/B28CBA0tf8ZZKZdd/Bw0aVG4tZfE1AAAAAACAdmXAgAEt7it4K9GqVauyatWq9OnTJ8OGDdvj+sKFC3Puuefu8fFx48Zl4cKF+/XYzzzzTGpra/frHvtryqykKUmXmi5ZunRpqbWUxdcAAAAAAAA6jpKXPHVuTz/9dJJk9OjRe72+du3a9OnTZ4+P9+vXL2vWrGnN0gAAAAAAAGgmwVuJXllxtnTp0jQ2NpZcDQAAAAAAAPtD8FaicePGZciQIVm+fHmGDBmSqVOn5sQTT8w3v/nNJEnfvn3z8ssv79FvzZo16devXxtXCwAAAAAAwGsRvJWoR48e+fGPf5zp06enW7duue+++zJv3rzU1dUlScaMGbPXs9wWLlyYMWPGtHW5AAAAAAAAvAbBW8nGjh2b//iP/8jKlSvT1NSUarWa9773vUmSs846K/fee2+WLl26q/19992X5557LmeffXZZJQMAAAAAALAXgrd27CMf+UgGDhyY6dOnZ/bs2bntttvy7ne/O1OmTMn06dPLLg8AAAAAAIDfInhrx3r16pU5c+Zk4MCBOe+88/LhD384J5xwQmbPnp2aGkMHAAAAAADQnnQtuwBe21FHHZXZs2eXXQYAAAAAAACvw7IpAAAAAAAAKIDgDQAAAAAAAAogeAMAAAAAAIACCN4AAAAAAACgAII3AAAAAAAAKIDgDQAAAAAAAAogeAMAAAAAAIACCN4AAAAAAACgAII3AAAAAAAAKIDgDQAAAAAAAAogeAMAAAAAAIACCN4AAAAAAACgAII3AAAAAAAAKIDgDQAAAAAAAAogeAMAAAAAAIACCN4AAAAAAACgAII3AAAAAAAAKIDgDQAAAAAAAAogeAMAAAAAAIACCN4AAAAAAACgAII3AAAAAAAAKIDgDQAAAAAAAAogeAMAAAAAAIACCN4AAAAAAACgAII3AAAAAAAAKIDgDQAAAAAAAAogeAMAAAAAAIACCN4AAAAAAACgAII3AAAAAAAAKIDgDQAAAAAAAAogeAMAAAAAAIACCN4AAAAAAACgAII3AAAAAAAAKIDgDQAAAAAAAAogeAMAAAAAAIACCN4AAAAAAACgAII3AAAAAAAAKIDgDQAAAAAAAAogeAMAAAAAAIACCN4AAAAAAACgAII3AAAAAAAAKIDgDQAAAAAAAAogeAMAAAAAAIACdC27AHa67rrr0tDQkE984hPp3bt32eUAAAAAAADQTFa8tQPr1q3LjBkzcs0116Surq7scgAAAAAAAGgBwVs7MH/+/FSr1UyYMCFdunQpuxwAAAAAAABaQPDWDsyfPz9JMnny5JIrAQAAAAAAoKUEbyWaOXNmKpVKPvWpTyVJbrjhhlQqlV1vX/rSl0quEAAAAAAAgH3VtewCOrPGxsZMmzYtDz30UDZv3pzJkyenZ8+eu66fcMIJJVYHAAAAAABAcwjeSvT+978/733ve1NfX58kmTNnTvr06VNuUQAAAAAAALSIrSZLtmjRomzcuDFDhw4VugEAAAAAABzABG8lW7BgQZJk0qRJe1xbunRpLrrookyZMiXdu3dPpVJp2+IAAAAAAADYZ7aaLNlrBW/PPvtsZs6cmeOPPz4HHXRQ5s2bV9jjjho1KjU15eauh3/9hVRqumRH044MHjy01FrK4msAAAAAAADty4ABA/Lggw+2qK/grWSvFbyddNJJWbFiRZLkiiuuKDR4e+W+ZTq8Wt35P9Vqli1bVm4xJfE1AAAAAACAjkPwVrLXCt5ac0XawIEDS1/xlle2zqxUMmjQoHJrKYuvAQAAAAAAtCsDBgxocV/BW4lWrVqVVatWpU+fPhk2bFibPvYzzzyT2traNn3M3zVlVtKUpEtNlyxdurTUWsriawAAAAAAAB1HyUueOrenn346STJ69OiSKwEAAAAAAGB/Cd5K9MqKs6VLl6axsbHkagAAAAAAANgfgrcSjRs3LkOGDMny5cszZMiQTJ06NSeeeGK++c1vll0aAAAAAAAAzSR4K1GPHj3y4x//ONOnT0+3bt1y3333Zd68eamrqyu7NAAAAAAAAJqpa9kFdHZjx47Nf/zHf5RdBgAAAAAAAPtJ8NbO3XbbbUmShQsX7vb+sGHDctxxx5VWFwAAAAAAALsTvLVz55577l7fv+CCC3LTTTeVUBEAAAAAAAB7I3hr56rVatklAAAAAAAAsA9qyi4AAAAAAAAAOgLBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8AYAAAAAAAAFELwBAAAAAABAAQRvAAAAAAAAUADBGwAAAAAAABRA8FaC1atXZ8aMGRk5cmR69OiRI488MpdcckkaGxvzoQ99KJVKJV//+tfLLrPVNGxLbnk+afqf95uS/OhXyeYdZVYFAAAAAACwf7qWXUBns2DBgpxxxhlZuXJlamtrM3bs2Cxfvjxf+9rX8txzz2XNmjVJkkmTJpVbaCvYuiO5/snk31/YM2S7ckHyt08k7x6RfHB0UlMppUQAAAAAAIAWs+KtDa1evTpnn312Vq5cmU9+8pNZsWJF5s+fn5UrV+bqq6/O7bffngceeCCVSiXHHnts2eUWavOO5OP3JTc//+or29ZtS775dPLX85OmatvWBwAAAAAAsL8Eb23o4x//eJYuXZqLLroo1113Xerr63ddmzFjRiZOnJjt27dn2LBh6dWrV4mVFu+qR5MHV+9b2x8vS/7h6datBwAAAAAAoGiCtzby5JNP5tZbb80hhxySL3/5y3tt84Y3vCFJMnHixN0+vnjx4pxzzjmpr69P37598/73vz+/+c1vWr3moizfmNz+YvP6fO/5ZOP21qkHAAAAAACgNQje2sjNN9+cpqamnH/++amrq9trm4MPPjjJ7sHbhg0bcsopp2Tp0qW5+eabc+ONN+aee+7JWWedlaampjapfX/925KkuTtHNm5PfrK0NaoBAAAAAABoHV3LLqCzmDNnTpLklFNOedU2S5fuTJp+O3i78cYbs2zZstx9990ZMmRIkmTw4ME54YQTMmvWrLz97W9vvaIL8vNft7zfO4YVWgoAAAAAAECrEby1kRdeeCFJMnTo0L1e3759e+bNm5dk9+Bt9uzZOfHEE3eFbkkyderUjBgxIj/60Y9aHLyNGjUqNTVts+DxkM/NS9dD9v55v5Y75s7LLe94VytU1H4c/vUXUqnpkh1NOzJ4cPO/RgAAAAAAQLEGDBiQBx98sEV9BW9tpLGxMUmyadOmvV6/9dZbs3r16tTX12f48OG7Pr5w4cKce+65e7QfN25cFi5c2OJ6VqxY0eK+zdW7cUO6HtL8fpvWrcmyZcuKL6gdObz6P5twVqsd/nMFAAAAAICOTvDWRgYMGJC1a9dm/vz5mTp16m7XVqxYkU9/+tNJkmOPPTaVSmXXtbVr16ZPnz573K9fv355+umnW1zPwIED22zFW3XZ48nQ8c3u12XVUxk0aFArVNSOvDLWlUrH/1wBAAAAAOAAMGDAgBb3Fby1kdNOOy1PPvlkrr766px++ukZPXp0kuSBBx7I+973vqxevTpJMmnSpDap55lnnkltbW2bPNbCl5P33928Pl0qybzrP51Deny6VWpqL6bMSpqSdKnpsuuMPwAAAAAA4MDUNkueyIwZM9K/f/+8+OKLGTduXCZMmJBRo0ZlypQpGTFiRE499dQku5/vliR9+/bNyy+/vMf91qxZk379+rVF6fttbJ9kYjNLfcsRySE9WqUcAAAAAACAViF4ayODBw/OPffck7e97W3p0aNHlixZkn79+uWGG27I7bffnkWLFiXZM3gbM2bMXs9yW7hwYcaMGdMmtRfhy29IDj9439qO7pVcemzr1gMAAAAAAFA0wVsbGjNmTGbPnp0NGzZkw4YNue+++/KRj3wkjY2NWbJkSWpqajJ+/O5noZ111lm59957d9uG8L777stzzz2Xs88+u60/hRY77ODkWycm4/q8drtphyU3TEvqurVJWQAAAAAAAIWpVKvVatlFdHb33Xdffv/3fz9HH310nnrqqd2urV+/PhMmTMghhxySK6+8Mps3b86MGTNy6KGH5he/+EVqavY9O21sbExdXV2SpKGhoc3OePtt1Wry6NrkB4uTx9YmjduTuq7JGw9N3jksGdW7zUsq1StnvNUkuf+csqsBAAAAAAD2R9eyCyB57LHHkuy5zWSS9OrVK3PmzMkll1yS8847L127ds1ZZ52Vr371q80K3dqLSmXneW/NPfMNAAAAAACgvRO8tQOvFbwlyVFHHZXZs2e3ZUkAAAAAAAA004G3ZKoDer3gDQAAAAAAgPbPird2YM6cOWWXAAAAAAAAwH6y4g0AAAAAAAAKIHgDAAAAAACAAgjeAAAAAAAAoACCNwAAAAAAACiA4A0AAAAAAAAKIHgDAAAAAACAAgjeAAAAAAAAoACCNwAAAAAAACiA4A0AAAAAAAAKIHgDAAAAAACAAgjeAAAAAAAAoACCNwAAAAAAACiA4A0AAAAAAAAKIHgDAAAAAACAAgjeAAAAAAAAoACCNwAAAAAAACiA4A0AAAAAAAAKIHgDAAAAAACAAgjeAAAAAAAAoACCNwAAAAAAACiA4A0AAAAAAAAKIHgDAAAAAACAAgjeAAAAAAAAoACCNwAAAAAAACiA4A0AAAAAAAAKIHgDAAAAAACAAgjeAAAAAAAAoACCNwAAAAAAACiA4A0AAAAAAAAKIHgDAAAAAACAAgjeAAAAAAAAoACCNwAAAAAAACiA4A0AAAAAAAAKIHgDAAAAAACAAgjeAAAAAAAAoACCNwAAAAAAACiA4A0AAAAAAAAKIHgDAAAAAACAAgjeAAAAAAAAoACCNwAAAAAAACiA4A0AAAAAAAAKIHgDAAAAAACAAgjeAAAAAAAAoACCNwAAAAAAACiA4A0AAAAAAAAKIHgrwerVqzNjxoyMHDkyPXr0yJFHHplLLrkkjY2N+dCHPpRKpZKvf/3rZZdJK9pRTR5Zk1T/5/3qa7YGAAAAAAAOBF3LLqCzWbBgQc4444ysXLkytbW1GTt2bJYvX56vfe1ree6557JmzZokyaRJk8otlFaxbmvyby8k/7YkWbHpfz9eTfJnP0/eOSw5ZWBSqZRUIAAAAAAA0GKVarVqsU0bWb16dSZPnpylS5fmk5/8ZP76r/869fX1SZJrrrkml156abp27ZodO3bk5ZdfTq9evQp9/MbGxtTV1SVJGhoaUltbW+j9eW0vNiQX/TJZtvG12519ZHLZxKSr9agAAAAAAHBA8av9NvTxj388S5cuzUUXXZTrrrtuV+iWJDNmzMjEiROzffv2DBs2rPDQjXL9ZnPy5/sQuiXJj15Mrn6s9WsCAAAAAACKJXhrI08++WRuvfXWHHLIIfnyl7+81zZveMMbkiQTJ07c9bFXgropU6ake/fuqdiD8ID0T88ky/chdHvFv7+QPLG29eoBAAAAAACKJ3hrIzfffHOamppy/vnn79ru8XcdfPDBSXYP3p599tnMnDkzAwYMyPHHH98mtVKsjduT219sfr/blhReCgAAAAAA0IoEb21kzpw5SZJTTjnlVdssXbo0ye7B20knnZQVK1Zk1qxZOe2001q3SFrFXSuSxu3N73fHsmTLjuLrAQAAAAAAWkfXsgvoLF544YUkydChQ/d6ffv27Zk3b16S3YO3mprWyUZHjRrVavdmd7V/+Oepn/6Xze63tSkZNfH4NL28ohWqAgAAAAAA9mbAgAF58MEHW9RX8NZGGhsbkySbNm3a6/Vbb701q1evTn19fYYPH97q9axYIcxpKwPWrU99C/uuXLE829YsL7QeAAAAAACgdQje2siAAQOydu3azJ8/P1OnTt3t2ooVK/LpT386SXLsscemUqm0ej0DBw604q2N9NjR0KJ+1a2bc1h9j+TgQQVXBAAAAAAAvJoBAwa0uK/grY2cdtppefLJJ3P11Vfn9NNPz+jRo5MkDzzwQN73vvdl9erVSZJJkya1ST3PPPNMamtr2+SxOrtN25O3/rT557xNH9kjf7XkudYpCgAAAAAAKJwlT21kxowZ6d+/f1588cWMGzcuEyZMyKhRozJlypSMGDEip556apLdz3ejYzi4a3L2kc3vd+6wwksBAAAAAABakeCtjQwePDj33HNP3va2t6VHjx5ZsmRJ+vXrlxtuuCG33357Fi1alETw1lF9aHQyqOe+tz93WDKmT2tVAwAAAAAAtAZbTbahMWPGZPbs2Xt8vKGhIUuWLElNTU3Gjx9fQmW0tr7dk7+bmnz8l8mvGl+77R8NTT41oW3qAgAAAAAAiiN4aweeeOKJVKvVjB49Oj177rks6rbbbkuSLFy4cLf3hw0bluOOO67tCmW/DK5Nvn1S8sMXktuWJEs37n79hMOSdw5L3nR4UqmUUSEAAAAAALA/BG/twGOPPZbk1beZPPfcc/f6/gUXXJCbbrqpVWujWPXdkveOTN5zVPLky8narUm3muTI2uSIZmxFCQAAAAAAtD+Ct3bg9YK3arXaluXQBmoqybi+ZVcBAAAAAAAUqabsAnj94A0AAAAAAID2r1K1nKrTaGxsTF1dXZKkoaEhtbW1JVcEAAAAAADQcVjxBgAAAAAAAAUQvAEAAAAAAEABBG8AAAAAAABQAMEbAAAAAAAAFEDwBgAAAAAAAAUQvAEAAAAAAEABBG8AAAAAAABQAMEbAAAAAAAAFEDwBgAAAAAAAAUQvAEAAAAAAEABBG8AAAAAAABQAMEbAAAAAAAAFEDwBgAAAAAAAAUQvAEAAAAAAEABBG8AAAAAAABQAMEbAAAAAAAAFEDwBgAAAAAAAAUQvAEAAAAAAEABBG8AAAAAAABQAMEbAAAAAAAAFEDwBgAAAAAAAAUQvAEAAAAAAEABBG8AAAAAAABQAMEbAAAAAAAAFEDwBgAAAAAAAAUQvAEAAAAAAEABBG8AAAAAAABQAMEbAAAAAAAAFEDwBgAAAAAAAAUQvAEAAAAAAEABBG8AAAAAAABQAMEbAAAAAAAAFEDwBgAAAAAAAAUQvAEAAAAAAEABBG/s1d13353p06dn6NChqVQq+cIXvlB2SQAAAAAAAO2a4I29amhoyNixY3PNNddkwIABZZcDAAAAAADQ7nUtuwDapzPPPDNnnnlmkuTSSy8tuRoAAAAAAID2z4o3AAAAAAAAKIDgDQAAAAAAAAogeAMAAAAAAIACCN4AAAAAAACgAII3AAAAAAAAKEDXsgugfWpoaMizzz6bJNm6dWtWrlyZBQsWpK6uLiNHjiy5OgAAAAAAgPanUq1Wq2UXwWu76aabsmTJklx44YUZNmxYi+/T2NiYurq6JDuDtdra2ldte9ddd+WUU07Z4+N/8Ad/kLvuuqvFNQAAAAAAAHRUgrcDwMknn5y5c+fmzjvvzMknn9zi+zQneAMAAAAAAKB5nPHGfnlh2aps2bK17DIAAAAAAABK54w3WmzL1m359syfJNXkI+85OwMO7Vd2SQAAAAAAAKWx4m0/rFu3LpdffnnGjx+fnj17pr6+Pscdd1y+8pWvZMuWLbu1veuuu1KpVF5zq8hhw4alUqlkyZIlu/WZO3dukuSUU05JpVLZ9XbFFVe00me2b34x/4ls3LQlBx/cPYf271NqLQAAAAAAAGWz4q2FlixZkje/+c15/vnn06VLl4wfPz7btm3L/Pnz89BDD+X73/9+7rjjjvTp06fFj9G7d+9MmzYtjz32WNavX5/x48end+/eu64PGTKkgM+kZbZs3Za7738kSXLqCb+XLjUyXAAAAAAAoHMTvLXQe97znjz//PM57rjjMnPmzF0h2KOPPprp06fn/vvvz8UXX5zvfOc7LX6MyZMn5957783JJ5+cuXPn5vrrr3/NFXNt6ZXVbv379sqksSPLLgcAAAAAAKB0grcWuPPOO/OLX/wiXbp0ya233rrbyrNjjz023/rWt3Lqqafme9/7Xj73uc9l+PDhJVa7d9fecEsO6t6jhb2r2dCwMUmycdPmXP2Nm4srDAAAAAAAoET1dQfn4gve0aK+grcW+MlPfpIkOeecczJixIg9rp9yyimZOHFiHnnkkfz0pz/NRz/60bYu8XWtb9yYg7bt2O/7bNq8NZuytYCKAAAAAAAADmyCtxZYtGhRkmT8+PGv2mbChAl55JFH8vTTT7dVWc3Sq7ZnC1e87VztVk1ycI+D0q1rt6JLAwAAAAAAKE193cEt7it4a4ENGzYkSQ4//PBXbfPKtVfatjef/uh5qa2tbXa/ufctyI/vuj/9+/bKX3z4T9KlpqYVqgMAAAAAADjwCN5aoL6+PkmyatWqV23zyrVX2lYqlSRJtVp91T6NjY1FlbhXPXv2TENDQ77x3R/mb//533fVtO+c7QYAAAAAAHRsznhrY6NHj06SPP7446/a5pVrRx99dJLsWl32amHdyy+/nNWrV+/1WvMDsr2rVCqpra3N1m3VbGjcuF/3crYbAAAAAADA7gRvLXDGGWfkmmuuyaxZs/L8889nxIgRu12fO3duFixYkJqamrzlLW9Jkhx11FFJksWLF+ell17KoYceulufb3zjG6/6eAcfvHMv0U2bNhVSf8v2JnW2GwAAAAAA0PE5462NnXzyyTnhhBPy85//PO9617syc+bMDBkyJMnOlW4f/OAHkyTvec97Mnz48CRJ3759d/W5+OKLc9NNN6VHjx5JkpkzZ+aLX/xiunXrlm3btu3xeK+EdnfeeWfOOOOM/a6/Jcsjne0GAAAAAADw2irV1zp0jFe1ZMmSnHrqqVm8eHG6dOmS8ePHZ/v27Vm4cGGq1WqmTJmSO+64I3369NnVZ968eTn11FOzdevW1NfXZ/To0Vm5cmWWLVuWv/qrv8q3v/3tvPDCC1m8eHGGDRu2W783velNqVarGTlyZI444ohUKpVceOGFufDCC1v9c92ydVuu+ebNady0Oee+7eS8YfzoVn9MAAAAAACAA41lSy00bNiwzJ8/P5dddlmOPvroLFq0KEuWLMnkyZNz7bXXZu7cubuFbkkybdq0zJkzJ29+85tTrVbz1FNPZfDgwbnlllty5ZVXvupjTZs2LbfcckumTp2aVatW5Z577sncuXOzZMmS1v0k/8cvH34ijZs2p3/fXpk0dmSbPCYAAAAAAMCBxoo3Xtd9C57Mf93zYM445Y1WuwEAAAAAALwKwRv7ZOvWbenStYuz3QAAAAAAAF6F4A0AAAAAAAAKYPkSAAAAAAAAFEDwBgAAAAAAAAUQvAEAAAAAAEABBG8AAAAAAABQAMEbAAAAAAAAFEDwBgAAAAAAAAUQvAEAAAAAAEABBG8AAAAAAABQAMEbAAAAAAAAFEDwBgAAAAAAAAUQvAEAAAAAAEABBG8AAAAAAABQAMEbAAAAAAAAFEDwBgAAAAAAAAUQvAEAAAAAAEABBG8AAAAAAABQAMEbAAAAAAAAFEDwBgAAAAAAAAUQvAEAAAAAAEABBG8AAAAAAABQAMEbAAAAAAAAFEDwBgAAAAAAAAUQvAEAAAAAAEABBG8AAAAAAABQAMEbAAAAAAAAFEDwBgAAAAAAAAUQvAEAAAAAAEABBG8AAAAAAABQAMEbAAAAAAAAFEDwBgAAAAAAAAUQvAEAAAAAAEABBG8AAAAAAABQAMEbAAAAAAAAFEDwBgAAAAAAAAUQvAEAAAAAAEABBG8AAAAAAABQAMEbAAAAAAAAFEDwBgAAAAAAAAUQvAEAAAAAAEAB/n//OCfu/H1vSwAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/latex": [ + "$$0.1767766953 |000000\\rangle+0.1767766953 |000010\\rangle+0.1767766953 |000100\\rangle+0.1767766953 |000110\\rangle+0.1767766953 |001000\\rangle+0.1767766953 |001010\\rangle + \\ldots +0.1767766953 |110110\\rangle+0.1767766953 |111000\\rangle+0.1767766953 |111010\\rangle+0.1767766953 |111100\\rangle+0.1767766953 |111110\\rangle$$" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "data = QuantumRegister(2, name=\"data\")\n", + "teleportation_provider = QuantumRegister(2, name=\"t\")\n", + "q = QuantumRegister(2, name=\"q\")\n", + "meas = ClassicalRegister(1, name=\"out\")\n", + "\n", + "qram = QuantumCircuit(data, teleportation_provider, q,meas)\n", + "\n", + "qram.h(teleportation_provider)\n", + "qram.cx(teleportation_provider, data)\n", + "\n", + "qram.barrier()\n", + "\n", + "qram.h(q[0])\n", + "qram.h(q[1])\n", + "\n", + "qram.barrier()\n", + "\n", + "qram.cx(q, teleportation_provider)\n", + "qram.h(q)\n", + "qram.cx(teleportation_provider, data)\n", + "qram.cz(q, data)\n", + "\n", + "qram.barrier(label='second')\n", + "qram.cz(q, data)\n", + "qram.cx(teleportation_provider, data)\n", + "qram.h(q)\n", + "qram.cx(q, teleportation_provider)\n", + "\n", + "qram.barrier()\n", + "qram.h(q[0])\n", + "qram.barrier()\n", + "qram.cx(q, teleportation_provider)\n", + "qram.h(q)\n", + "qram.cx(teleportation_provider, data)\n", + "qram.cz(q, data)\n", + "\n", + "\n", + "display(qram.draw('mpl'))\n", + "#display(show_unitary(get_unitary(qram)))\n", + "display(show_state(qram))\n", + "display(plot_histogram(measure(qram, qubits=[0])))\n", + "display(plot_histogram(measure(qram, qubits=[4])))\n", + "display(plot_histogram(measure(qram, qubits=[1])))\n", + "display(plot_histogram(measure(qram, qubits=[5])))" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "0d2ed38a-f8b8-49c4-a536-66c72b9e86a2", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/latex": [ + "$$0.3378460054 |00000\\rangle+0.2404773776 |00011\\rangle+0.3378460054 |00100\\rangle+0.2404773776 |00111\\rangle+0.2591729748 |01000\\rangle+0.1042116913 |01011\\rangle + \\ldots -0.1042116913 |10111\\rangle+0.3378460054 |11000\\rangle-0.2404773776 |11011\\rangle+0.3378460054 |11100\\rangle-0.2404773776 |11111\\rangle$$" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "ename": "CircuitError", + "evalue": "'Index 5 out of range for size 5.'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mIndexError\u001b[0m Traceback (most recent call last)", + "File \u001b[0;32m~/.asdf/installs/python/miniconda3-4.7.12/envs/quantum-oracles/lib/python3.8/site-packages/qiskit/circuit/quantumcircuit.py:5101\u001b[0m, in \u001b[0;36m_bit_argument_conversion_scalar\u001b[0;34m(specifier, bit_sequence, bit_set, type_)\u001b[0m\n\u001b[1;32m 5100\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 5101\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mbit_sequence\u001b[49m\u001b[43m[\u001b[49m\u001b[43mspecifier\u001b[49m\u001b[43m]\u001b[49m\n\u001b[1;32m 5102\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mIndexError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m ex:\n", + "\u001b[0;31mIndexError\u001b[0m: list index out of range", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[0;31mCircuitError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[21], line 29\u001b[0m\n\u001b[1;32m 27\u001b[0m display(plot_histogram(measure(qram, qubits\u001b[38;5;241m=\u001b[39m[\u001b[38;5;241m4\u001b[39m])))\n\u001b[1;32m 28\u001b[0m display(plot_histogram(measure(qram, qubits\u001b[38;5;241m=\u001b[39m[\u001b[38;5;241m1\u001b[39m])))\n\u001b[0;32m---> 29\u001b[0m display(plot_histogram(\u001b[43mmeasure\u001b[49m\u001b[43m(\u001b[49m\u001b[43mqram\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mqubits\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m5\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m))\n", + "Cell \u001b[0;32mIn[4], line 6\u001b[0m, in \u001b[0;36mmeasure\u001b[0;34m(qc, sim, qubits)\u001b[0m\n\u001b[1;32m 4\u001b[0m qc_copy\u001b[38;5;241m.\u001b[39mmeasure_all()\n\u001b[1;32m 5\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m----> 6\u001b[0m \u001b[43mqc_copy\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmeasure\u001b[49m\u001b[43m(\u001b[49m\u001b[43mqubits\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mlist\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mrange\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mlen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mqubits\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 7\u001b[0m result \u001b[38;5;241m=\u001b[39m sim\u001b[38;5;241m.\u001b[39mrun(transpile(qc_copy, sim), shots\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1000\u001b[39m)\u001b[38;5;241m.\u001b[39mresult()\u001b[38;5;241m.\u001b[39mget_counts()\n\u001b[1;32m 8\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m result\n", + "File \u001b[0;32m~/.asdf/installs/python/miniconda3-4.7.12/envs/quantum-oracles/lib/python3.8/site-packages/qiskit/circuit/quantumcircuit.py:2264\u001b[0m, in \u001b[0;36mQuantumCircuit.measure\u001b[0;34m(self, qubit, cbit)\u001b[0m\n\u001b[1;32m 2190\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124mr\u001b[39m\u001b[38;5;124;03m\"\"\"Measure a quantum bit (``qubit``) in the Z basis into a classical bit (``cbit``).\u001b[39;00m\n\u001b[1;32m 2191\u001b[0m \n\u001b[1;32m 2192\u001b[0m \u001b[38;5;124;03mWhen a quantum state is measured, a qubit is projected in the computational (Pauli Z) basis\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 2260\u001b[0m \n\u001b[1;32m 2261\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 2262\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmeasure\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Measure\n\u001b[0;32m-> 2264\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mappend\u001b[49m\u001b[43m(\u001b[49m\u001b[43mMeasure\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m[\u001b[49m\u001b[43mqubit\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m[\u001b[49m\u001b[43mcbit\u001b[49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/.asdf/installs/python/miniconda3-4.7.12/envs/quantum-oracles/lib/python3.8/site-packages/qiskit/circuit/quantumcircuit.py:1270\u001b[0m, in \u001b[0;36mQuantumCircuit.append\u001b[0;34m(self, instruction, qargs, cargs)\u001b[0m\n\u001b[1;32m 1267\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m is_parameter:\n\u001b[1;32m 1268\u001b[0m operation \u001b[38;5;241m=\u001b[39m copy\u001b[38;5;241m.\u001b[39mdeepcopy(operation)\n\u001b[0;32m-> 1270\u001b[0m expanded_qargs \u001b[38;5;241m=\u001b[39m [\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mqbit_argument_conversion(qarg) \u001b[38;5;28;01mfor\u001b[39;00m qarg \u001b[38;5;129;01min\u001b[39;00m qargs \u001b[38;5;129;01mor\u001b[39;00m []]\n\u001b[1;32m 1271\u001b[0m expanded_cargs \u001b[38;5;241m=\u001b[39m [\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcbit_argument_conversion(carg) \u001b[38;5;28;01mfor\u001b[39;00m carg \u001b[38;5;129;01min\u001b[39;00m cargs \u001b[38;5;129;01mor\u001b[39;00m []]\n\u001b[1;32m 1273\u001b[0m instructions \u001b[38;5;241m=\u001b[39m InstructionSet(resource_requester\u001b[38;5;241m=\u001b[39mcircuit_scope\u001b[38;5;241m.\u001b[39mresolve_classical_resource)\n", + "File \u001b[0;32m~/.asdf/installs/python/miniconda3-4.7.12/envs/quantum-oracles/lib/python3.8/site-packages/qiskit/circuit/quantumcircuit.py:1270\u001b[0m, in \u001b[0;36m\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 1267\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m is_parameter:\n\u001b[1;32m 1268\u001b[0m operation \u001b[38;5;241m=\u001b[39m copy\u001b[38;5;241m.\u001b[39mdeepcopy(operation)\n\u001b[0;32m-> 1270\u001b[0m expanded_qargs \u001b[38;5;241m=\u001b[39m [\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mqbit_argument_conversion\u001b[49m\u001b[43m(\u001b[49m\u001b[43mqarg\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mfor\u001b[39;00m qarg \u001b[38;5;129;01min\u001b[39;00m qargs \u001b[38;5;129;01mor\u001b[39;00m []]\n\u001b[1;32m 1271\u001b[0m expanded_cargs \u001b[38;5;241m=\u001b[39m [\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcbit_argument_conversion(carg) \u001b[38;5;28;01mfor\u001b[39;00m carg \u001b[38;5;129;01min\u001b[39;00m cargs \u001b[38;5;129;01mor\u001b[39;00m []]\n\u001b[1;32m 1273\u001b[0m instructions \u001b[38;5;241m=\u001b[39m InstructionSet(resource_requester\u001b[38;5;241m=\u001b[39mcircuit_scope\u001b[38;5;241m.\u001b[39mresolve_classical_resource)\n", + "File \u001b[0;32m~/.asdf/installs/python/miniconda3-4.7.12/envs/quantum-oracles/lib/python3.8/site-packages/qiskit/circuit/quantumcircuit.py:1185\u001b[0m, in \u001b[0;36mQuantumCircuit.qbit_argument_conversion\u001b[0;34m(self, qubit_representation)\u001b[0m\n\u001b[1;32m 1174\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mqbit_argument_conversion\u001b[39m(\u001b[38;5;28mself\u001b[39m, qubit_representation: QubitSpecifier) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28mlist\u001b[39m[Qubit]:\n\u001b[1;32m 1175\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 1176\u001b[0m \u001b[38;5;124;03m Converts several qubit representations (such as indexes, range, etc.)\u001b[39;00m\n\u001b[1;32m 1177\u001b[0m \u001b[38;5;124;03m into a list of qubits.\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1183\u001b[0m \u001b[38;5;124;03m List(Qubit): the resolved instances of the qubits.\u001b[39;00m\n\u001b[1;32m 1184\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m-> 1185\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_bit_argument_conversion\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1186\u001b[0m \u001b[43m \u001b[49m\u001b[43mqubit_representation\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mqubits\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_qubit_indices\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mQubit\u001b[49m\n\u001b[1;32m 1187\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/.asdf/installs/python/miniconda3-4.7.12/envs/quantum-oracles/lib/python3.8/site-packages/qiskit/circuit/quantumcircuit.py:5081\u001b[0m, in \u001b[0;36m_bit_argument_conversion\u001b[0;34m(specifier, bit_sequence, bit_set, type_)\u001b[0m\n\u001b[1;32m 5079\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m bit_sequence[specifier]\n\u001b[1;32m 5080\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 5081\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m [\n\u001b[1;32m 5082\u001b[0m _bit_argument_conversion_scalar(index, bit_sequence, bit_set, type_)\n\u001b[1;32m 5083\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m index \u001b[38;5;129;01min\u001b[39;00m specifier\n\u001b[1;32m 5084\u001b[0m ]\n\u001b[1;32m 5085\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m ex:\n\u001b[1;32m 5086\u001b[0m message \u001b[38;5;241m=\u001b[39m (\n\u001b[1;32m 5087\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mIncorrect bit type: expected \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mtype_\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m but got \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mtype\u001b[39m(specifier)\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 5088\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(specifier, Bit)\n\u001b[1;32m 5089\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mInvalid bit index: \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mspecifier\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m of type \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mtype\u001b[39m(specifier)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 5090\u001b[0m )\n", + "File \u001b[0;32m~/.asdf/installs/python/miniconda3-4.7.12/envs/quantum-oracles/lib/python3.8/site-packages/qiskit/circuit/quantumcircuit.py:5082\u001b[0m, in \u001b[0;36m\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 5079\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m bit_sequence[specifier]\n\u001b[1;32m 5080\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 5081\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m [\n\u001b[0;32m-> 5082\u001b[0m \u001b[43m_bit_argument_conversion_scalar\u001b[49m\u001b[43m(\u001b[49m\u001b[43mindex\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbit_sequence\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbit_set\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtype_\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 5083\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m index \u001b[38;5;129;01min\u001b[39;00m specifier\n\u001b[1;32m 5084\u001b[0m ]\n\u001b[1;32m 5085\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m ex:\n\u001b[1;32m 5086\u001b[0m message \u001b[38;5;241m=\u001b[39m (\n\u001b[1;32m 5087\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mIncorrect bit type: expected \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mtype_\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m but got \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mtype\u001b[39m(specifier)\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 5088\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(specifier, Bit)\n\u001b[1;32m 5089\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mInvalid bit index: \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mspecifier\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m of type \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mtype\u001b[39m(specifier)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 5090\u001b[0m )\n", + "File \u001b[0;32m~/.asdf/installs/python/miniconda3-4.7.12/envs/quantum-oracles/lib/python3.8/site-packages/qiskit/circuit/quantumcircuit.py:5103\u001b[0m, in \u001b[0;36m_bit_argument_conversion_scalar\u001b[0;34m(specifier, bit_sequence, bit_set, type_)\u001b[0m\n\u001b[1;32m 5101\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m bit_sequence[specifier]\n\u001b[1;32m 5102\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mIndexError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m ex:\n\u001b[0;32m-> 5103\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m CircuitError(\n\u001b[1;32m 5104\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mIndex \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mspecifier\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m out of range for size \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlen\u001b[39m(bit_sequence)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 5105\u001b[0m ) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mex\u001b[39;00m\n\u001b[1;32m 5106\u001b[0m message \u001b[38;5;241m=\u001b[39m (\n\u001b[1;32m 5107\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mIncorrect bit type: expected \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mtype_\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m but got \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mtype\u001b[39m(specifier)\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 5108\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(specifier, Bit)\n\u001b[1;32m 5109\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mInvalid bit index: \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mspecifier\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m of type \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mtype\u001b[39m(specifier)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 5110\u001b[0m )\n\u001b[1;32m 5111\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m CircuitError(message)\n", + "\u001b[0;31mCircuitError\u001b[0m: 'Index 5 out of range for size 5.'" + ] + } + ], + "source": [ + "data = QuantumRegister(2, name=\"data\")\n", + "teleportation_provider = QuantumRegister(1, name=\"t\")\n", + "q = QuantumRegister(2, name=\"q\")\n", + "meas = ClassicalRegister(1, name=\"out\")\n", + "\n", + "qram = QuantumCircuit(data, teleportation_provider, q,meas)\n", + "\n", + "qram.h(teleportation_provider)\n", + "qram.cx(teleportation_provider, data)\n", + "\n", + "qram.barrier()\n", + "\n", + "qram.ry(np.pi/3, q[0])\n", + "qram.ry(np.pi/7, q[1])\n", + "\n", + "qram.barrier()\n", + "\n", + "qram.cx(q, teleportation_provider)\n", + "qram.h(q)\n", + "qram.cx(teleportation_provider, data)\n", + "qram.cz(q, data)\n", + "\n", + "display(qram.draw('mpl', filename=get_image_path('qram.png')))\n", + "#display(show_unitary(get_unitary(qram)))\n", + "display(show_state(qram))\n", + "display(plot_histogram(measure(qram, qubits=[0])))\n", + "display(plot_histogram(measure(qram, qubits=[4])))\n", + "display(plot_histogram(measure(qram, qubits=[1])))\n", + "display(plot_histogram(measure(qram, qubits=[5])))" + ] } ], "metadata": { diff --git a/code/simons.ipynb b/code/simons.ipynb deleted file mode 100644 index dda0f89..0000000 --- a/code/simons.ipynb +++ /dev/null @@ -1,135 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 3, - "id": "ba95548c-7e9e-4f9a-894a-dce5ecd9499e", - "metadata": {}, - "outputs": [], - "source": [ - "%matplotlib inline\n", - "from qiskit import QuantumCircuit\n", - "from qiskit.visualization import plot_histogram\n", - "from qiskit_aer import AerSimulator\n", - "from utils import get_image_path" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "c6941e87-6d8e-4eae-b06b-7b1fd1135f18", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "a=0 - (s ⊕ a)=2\n", - "a=1 - (s ⊕ a)=3\n", - "a=2 - (s ⊕ a)=0\n", - "a=3 - (s ⊕ a)=1\n", - "--------------------\n", - "y=2 - (s ⊕ y)=0\n", - "y=3 - (s ⊕ y)=1\n", - "y=0 - (s ⊕ y)=2\n", - "y=1 - (s ⊕ y)=3\n" - ] - } - ], - "source": [ - "total_bits = 2\n", - "total_combinations = 2 ** total_bits\n", - "s = 2 #10\n", - "\n", - "Y = []\n", - "\n", - "for a in range(total_combinations):\n", - " y = s^a\n", - " Y.append(y)\n", - " print(f'a={a} - (s ⊕ a)={y}')\n", - "\n", - "print('-'*20)\n", - "\n", - "for y in Y:\n", - " print(f'y={y} - (s ⊕ y)={y^s}')" - ] - }, - { - "cell_type": "markdown", - "id": "e2b0808e-51b4-4e43-a3f9-44d840a62304", - "metadata": {}, - "source": [ - "y = s⊕a\\\n", - "y⊕s = s⊕a⊕s\\\n", - "y⊕s = s⊕s⊕a\\\n", - "y⊕s = 0⊕a\\\n", - "y⊕s = a" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "73d370c9-8e9c-4518-89e3-8cb2e6ecec02", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "total_qubits = total_bits*2\n", - "half_qubits = total_bits\n", - "\n", - "qc = QuantumCircuit(total_qubits, total_bits)\n", - "qc.h(range(half_qubits))\n", - "qc.barrier()\n", - "qc.cx(1, 3)\n", - "qc.barrier()\n", - "qc.h(range(half_qubits))\n", - "qc.measure(range(half_qubits), range(total_bits))\n", - "qc.draw('mpl', filename=get_image_path(\"simons2.png\"))" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "eac143e7-4ee5-4a45-8f48-4c2b66b45921", - "metadata": {}, - "outputs": [], - "source": [ - "sim = AerSimulator()\n", - "result = sim.run(qc).result().get_counts()\n", - "plot_histogram(result, filename=get_image_path(\"simons_plot.png\"))" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.15" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/documents/project explanation to my new instructor.pptx b/documents/project explanation to my new instructor.pptx new file mode 100644 index 0000000..7a82077 Binary files /dev/null and b/documents/project explanation to my new instructor.pptx differ diff --git a/images/AER-file-explorer-hist-new-grover-mapped-rotations.png b/images/AER-file-explorer-hist-new-grover-mapped-rotations.png index 746879f..c6860ed 100644 Binary files a/images/AER-file-explorer-hist-new-grover-mapped-rotations.png and b/images/AER-file-explorer-hist-new-grover-mapped-rotations.png differ diff --git a/images/AER_file_explorer_result.png b/images/AER_file_explorer_result.png new file mode 100644 index 0000000..d7c7a3a Binary files /dev/null and b/images/AER_file_explorer_result.png differ diff --git a/images/QFT_1.png b/images/QFT_1.png index cc1fe22..a9cc2fa 100644 Binary files a/images/QFT_1.png and b/images/QFT_1.png differ diff --git a/images/QFT_1_bloch.png b/images/QFT_1_bloch.png index c0dce58..1c7480b 100644 Binary files a/images/QFT_1_bloch.png and b/images/QFT_1_bloch.png differ diff --git a/images/QFT_1_transpiled.png b/images/QFT_1_transpiled.png index 17814d9..32d9828 100644 Binary files a/images/QFT_1_transpiled.png and b/images/QFT_1_transpiled.png differ diff --git a/images/QFT_2.png b/images/QFT_2.png index 390db20..102731a 100644 Binary files a/images/QFT_2.png and b/images/QFT_2.png differ diff --git a/images/QFT_2_bloch.png b/images/QFT_2_bloch.png index f0c2165..48f9b29 100644 Binary files a/images/QFT_2_bloch.png and b/images/QFT_2_bloch.png differ diff --git a/images/QFT_2_transpiled.png b/images/QFT_2_transpiled.png index 3d0a778..80ebf02 100644 Binary files a/images/QFT_2_transpiled.png and b/images/QFT_2_transpiled.png differ diff --git a/code/assets/buckshot-roulette-diagram.png b/images/buckshot-roulette-diagram.png similarity index 100% rename from code/assets/buckshot-roulette-diagram.png rename to images/buckshot-roulette-diagram.png diff --git a/images/fibonacci-4.png b/images/fibonacci-4.png index 4a8de5c..b7fb4f9 100644 Binary files a/images/fibonacci-4.png and b/images/fibonacci-4.png differ diff --git a/images/file_explorer.png b/images/file_explorer.png new file mode 100644 index 0000000..65d3389 Binary files /dev/null and b/images/file_explorer.png differ diff --git a/images/final_buckshot_roulette_quantum_optimal_strategy.png b/images/final_buckshot_roulette_quantum_optimal_strategy.png index 14f5376..745223a 100644 Binary files a/images/final_buckshot_roulette_quantum_optimal_strategy.png and b/images/final_buckshot_roulette_quantum_optimal_strategy.png differ diff --git a/images/final_buckshot_roulette_quantum_optimal_strategy_Fake20QV1.png b/images/final_buckshot_roulette_quantum_optimal_strategy_Fake20QV1.png index 1c67deb..97982c6 100644 Binary files a/images/final_buckshot_roulette_quantum_optimal_strategy_Fake20QV1.png and b/images/final_buckshot_roulette_quantum_optimal_strategy_Fake20QV1.png differ diff --git a/images/final_buckshot_roulette_quantum_optimal_strategy_bit_strings.png b/images/final_buckshot_roulette_quantum_optimal_strategy_bit_strings.png index c6ff4f1..657bf60 100644 Binary files a/images/final_buckshot_roulette_quantum_optimal_strategy_bit_strings.png and b/images/final_buckshot_roulette_quantum_optimal_strategy_bit_strings.png differ diff --git a/images/final_buckshot_roulette_quantum_optimal_strategy_bit_strings_Fake20QV1.png b/images/final_buckshot_roulette_quantum_optimal_strategy_bit_strings_Fake20QV1.png index 73ad8c7..14f839f 100644 Binary files a/images/final_buckshot_roulette_quantum_optimal_strategy_bit_strings_Fake20QV1.png and b/images/final_buckshot_roulette_quantum_optimal_strategy_bit_strings_Fake20QV1.png differ diff --git a/images/final_buckshot_roulette_quantum_optimal_strategy_bit_strings_fake_melbourne.png b/images/final_buckshot_roulette_quantum_optimal_strategy_bit_strings_fake_melbourne.png index 45ead40..e3e9251 100644 Binary files a/images/final_buckshot_roulette_quantum_optimal_strategy_bit_strings_fake_melbourne.png and b/images/final_buckshot_roulette_quantum_optimal_strategy_bit_strings_fake_melbourne.png differ diff --git a/images/final_buckshot_roulette_quantum_optimal_strategy_fake_melbourne.png b/images/final_buckshot_roulette_quantum_optimal_strategy_fake_melbourne.png index 05f5127..f6f5ceb 100644 Binary files a/images/final_buckshot_roulette_quantum_optimal_strategy_fake_melbourne.png and b/images/final_buckshot_roulette_quantum_optimal_strategy_fake_melbourne.png differ diff --git a/images/hanoi_3_discs.png b/images/hanoi_3_discs.png index 030f7fd..499a167 100644 Binary files a/images/hanoi_3_discs.png and b/images/hanoi_3_discs.png differ diff --git a/images/improved_file_explorer.png b/images/improved_file_explorer.png new file mode 100644 index 0000000..08e5131 Binary files /dev/null and b/images/improved_file_explorer.png differ diff --git a/images/miles_to_km_defiance.png b/images/miles_to_km_defiance.png index 5e9455c..5ed7d5e 100644 Binary files a/images/miles_to_km_defiance.png and b/images/miles_to_km_defiance.png differ diff --git a/images/new-grover-test-different-bit-strings-with-optimal-angles.png b/images/new-grover-test-different-bit-strings-with-optimal-angles.png new file mode 100644 index 0000000..cbd49d8 Binary files /dev/null and b/images/new-grover-test-different-bit-strings-with-optimal-angles.png differ diff --git a/images/player_optimal_strategy_bloch.png b/images/player_optimal_strategy_bloch.png new file mode 100644 index 0000000..9ab69fb Binary files /dev/null and b/images/player_optimal_strategy_bloch.png differ diff --git a/images/qram.png b/images/qram.png new file mode 100644 index 0000000..fec8b32 Binary files /dev/null and b/images/qram.png differ diff --git a/images/qrom_1.png b/images/qrom_1.png new file mode 100644 index 0000000..aacb1ab Binary files /dev/null and b/images/qrom_1.png differ diff --git a/images/qrom_1_usage.png b/images/qrom_1_usage.png new file mode 100644 index 0000000..baba1b9 Binary files /dev/null and b/images/qrom_1_usage.png differ diff --git a/images/quantum_buckshot_roulette.png b/images/quantum_buckshot_roulette.png index aa56b15..b49e65b 100644 Binary files a/images/quantum_buckshot_roulette.png and b/images/quantum_buckshot_roulette.png differ diff --git a/images/result_hanoi_3_discs.png b/images/result_hanoi_3_discs.png index 8d8bd0e..6d29f29 100644 Binary files a/images/result_hanoi_3_discs.png and b/images/result_hanoi_3_discs.png differ diff --git a/images/sets-difference-look-up-table-oracle.png b/images/sets-difference-look-up-table-oracle.png index f7bcd55..1e4afee 100644 Binary files a/images/sets-difference-look-up-table-oracle.png and b/images/sets-difference-look-up-table-oracle.png differ diff --git a/images/simons.png b/images/simons.png deleted file mode 100644 index c1ee6ed..0000000 Binary files a/images/simons.png and /dev/null differ diff --git a/images/simons_plot.png b/images/simons_plot.png deleted file mode 100644 index bc10fd0..0000000 Binary files a/images/simons_plot.png and /dev/null differ diff --git a/latex/algorithm.sty b/latex/algorithm.sty new file mode 100644 index 0000000..8558565 --- /dev/null +++ b/latex/algorithm.sty @@ -0,0 +1,100 @@ +%% +%% This is file `algorithm.sty', +%% generated with the docstrip utility. +%% +%% The original source files were: +%% +%% algorithms.dtx (with options: `algorithm') +%% This is a generated file. +%% +%% Copyright (C) 1994-2004 Peter Williams +%% Copyright (C) 2005-2009 Rogério Brito +%% +%% This document file is free software; you can redistribute it and/or +%% modify it under the terms of the GNU Lesser General Public License as +%% published by the Free Software Foundation; either version 2 of the +%% License, or (at your option) any later version. +%% +%% This document file is distributed in the hope that it will be useful, but +%% WITHOUT ANY WARRANTY; without even the implied warranty of +%% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser +%% General Public License for more details. +%% +%% You should have received a copy of the GNU Lesser General Public License +%% along with this document file; if not, write to the Free Software +%% Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, +%% USA. +%% +\NeedsTeXFormat{LaTeX2e}[1999/12/01] +\ProvidesPackage{algorithm} + [2009/08/24 v0.1 Document Style `algorithm' - floating environment] +\RequirePackage{float} +\RequirePackage{ifthen} +\newcommand{\ALG@within}{nothing} +\newboolean{ALG@within} +\setboolean{ALG@within}{false} +\newcommand{\ALG@floatstyle}{ruled} +\newcommand{\ALG@name}{Algorithm} +\newcommand{\listalgorithmname}{List of \ALG@name s} +% Declare Options: +% * first: appearance +\DeclareOption{plain}{ + \renewcommand{\ALG@floatstyle}{plain} +} +\DeclareOption{ruled}{ + \renewcommand{\ALG@floatstyle}{ruled} +} +\DeclareOption{boxed}{ + \renewcommand{\ALG@floatstyle}{boxed} +} +% * then: numbering convention +\DeclareOption{part}{ + \renewcommand{\ALG@within}{part} + \setboolean{ALG@within}{true} +} +\DeclareOption{chapter}{ + \renewcommand{\ALG@within}{chapter} + \setboolean{ALG@within}{true} +} +\DeclareOption{section}{ + \renewcommand{\ALG@within}{section} + \setboolean{ALG@within}{true} +} +\DeclareOption{subsection}{ + \renewcommand{\ALG@within}{subsection} + \setboolean{ALG@within}{true} +} +\DeclareOption{subsubsection}{ + \renewcommand{\ALG@within}{subsubsection} + \setboolean{ALG@within}{true} +} +\DeclareOption{nothing}{ + \renewcommand{\ALG@within}{nothing} + \setboolean{ALG@within}{true} +} +\DeclareOption*{\edef\ALG@name{\CurrentOption}} +% ALGORITHM +% +\ProcessOptions +\floatstyle{\ALG@floatstyle} +\ifthenelse{\boolean{ALG@within}}{ + \ifthenelse{\equal{\ALG@within}{part}} + {\newfloat{algorithm}{htbp}{loa}[part]}{} + \ifthenelse{\equal{\ALG@within}{chapter}} + {\newfloat{algorithm}{htbp}{loa}[chapter]}{} + \ifthenelse{\equal{\ALG@within}{section}} + {\newfloat{algorithm}{htbp}{loa}[section]}{} + \ifthenelse{\equal{\ALG@within}{subsection}} + {\newfloat{algorithm}{htbp}{loa}[subsection]}{} + \ifthenelse{\equal{\ALG@within}{subsubsection}} + {\newfloat{algorithm}{htbp}{loa}[subsubsection]}{} + \ifthenelse{\equal{\ALG@within}{nothing}} + {\newfloat{algorithm}{htbp}{loa}}{} +}{ + \newfloat{algorithm}{htbp}{loa} +} +\floatname{algorithm}{\ALG@name} +\newcommand{\listofalgorithms}{\listof{algorithm}{\listalgorithmname}} +\endinput +%% +%% End of file `algorithm.sty'. diff --git a/latex/algorithmicx.sty b/latex/algorithmicx.sty new file mode 100644 index 0000000..bfb7dab --- /dev/null +++ b/latex/algorithmicx.sty @@ -0,0 +1,786 @@ +% ALGORITHMIC STYLE -- Released 27 APR 2005 +% for LaTeX version 2e +% +% Copyright Szasz Janos +% E-mail szaszjanos@users.sourceforge.net +% +% +% *** INITIALISING *** +% +% +\NeedsTeXFormat{LaTeX2e} +\ProvidesPackage{algorithmicx}[2005/04/27 v1.2 Algorithmicx] +\RequirePackage{ifthen} +\typeout{Document Style algorithmicx 1.2 - a greatly improved `algorithmic' style} +% +\newcounter{ALG@line} +\newcounter{ALG@rem} +\newcounter{ALG@nested} +\newlength{\ALG@tlm} +\newlength{\ALG@thistlm} +\newcounter{ALG@Lnr}% the number of defined languages +\setcounter{ALG@Lnr}{0} +\newcounter{ALG@blocknr}% the number of defined blocks +\setcounter{ALG@blocknr}{0} +\newcounter{ALG@storecount}% number of stored but not restored algorithmic environments +\setcounter{ALG@storecount}{0} +\newcounter{ALG@tmpcounter}% only to decrement things +\newlength\ALG@tmplength% +%\def\algorithmicnoindent{-\ALG@tlm} +% \def\algbackskipbegin{\hskip\ALG@ctlm} +%\def\algbackskip{\hskip-\ALG@thistlm} +%\def\algbackskipend{\hskip-\ALG@tlm} +\def\ALG@defaultindent{\algorithmicindent} +% +% conditional states +% +\def\ALG@newcondstate#1% + {% + \expandafter\edef\csname ALG@x@#1\endcsname% + {\expandafter\noexpand\csname @@ALG@x@#1\endcsname}% + }% +\ALG@newcondstate{notext}% +\ALG@newcondstate{default}% +% +% +% *** ALGORITHMIC *** +% +% +\newcommand\ALG@beginblock[1]% #1 - indentation + {% + \ALG@thistlm\ALG@tlm% + \addtolength\ALG@tlm{#1}% + \addtocounter{ALG@nested}{1}% + \setlength\ALG@tmplength{#1}% + \expandafter\edef\csname ALG@ind@\theALG@nested\endcsname{\the\ALG@tmplength}% + }% +\newcommand\ALG@endblock% + {% + \addtolength\ALG@tlm{-\csname ALG@ind@\theALG@nested\endcsname}% + \addtocounter{ALG@nested}{-1}% + \ALG@thistlm\ALG@tlm% + }% +% +% algorithmic environment +% +\def\ALG@step% + {% + \addtocounter{ALG@line}{1}% + \addtocounter{ALG@rem}{1}% + \ifthenelse{\equal{\arabic{ALG@rem}}{\ALG@numberfreq}}% + {\setcounter{ALG@rem}{0}\alglinenumber{\arabic{ALG@line}}}% + {}% + }% +\newenvironment{algorithmic}[1][0]% + {% + \edef\ALG@numberfreq{#1}% + \def\@currentlabel{\theALG@line}% + % + \setcounter{ALG@line}{0}% + \setcounter{ALG@rem}{0}% + % + \let\\\algbreak% + % + \expandafter\edef\csname ALG@currentblock@\theALG@nested\endcsname{0}% + \expandafter\let\csname ALG@currentlifetime@\theALG@nested\endcsname\relax% + % + \begin{list}% + {\ALG@step}% + {% + \rightmargin\z@% + \itemsep\z@ \itemindent\z@ \listparindent2em% + \partopsep\z@ \parskip\z@ \parsep\z@% + \labelsep 0.5em \topsep 0.2em%\skip 1.2em + \ifthenelse{\equal{#1}{0}}% + {\labelwidth 0.5em}% + {\labelwidth 1.2em}% + \leftmargin\labelwidth \addtolength{\leftmargin}{\labelsep}% Ok. the perfect leftmargin :-)) + \ALG@tlm\z@% + }% + \setcounter{ALG@nested}{0}% + \ALG@beginalgorithmic% + }% + {% end{algorithmic} + % check if all blocks are closed + \ALG@closeloops% + \expandafter\ifnum\csname ALG@currentblock@\theALG@nested\endcsname=0\relax% + \else% + \PackageError{algorithmicx}{Some blocks are not closed!!!}{}% + \fi% + \ALG@endalgorithmic% + \end{list}% + }% +% +% +% *** Functional core *** +% +% +\def\ALG@makeentity#1% execute the entity (#1) + {% + \def\ALG@thisentity{#1}% + \expandafter\ifx\csname ALG@b@\ALG@L @#1@0\endcsname\relax% + \let\ALG@makenobeginrepeat\ALG@makenobegin\ALG@makenobeginrepeat% this entitie ends or continues blocks + \else% + \let\ALG@makebeginrepeat\ALG@makebegin\ALG@makebeginrepeat% this entitie can open blocks + \fi% + \ALG@entitiecommand% + }% +% +\def\ALG@makebegin% executes an entitie that can open blocks + {% + \expandafter\let\expandafter\ALG@thislifetime\csname ALG@currentlifetime@\theALG@nested\endcsname% + \ifx\ALG@thislifetime\relax% + \let\ALG@makebeginrepeat\ALG@doentity% in infinite block I can open my block + \else% + \ifnum\ALG@thislifetime>0\relax% + \ifnum\ALG@thislifetime>65534\else% + \setcounter{ALG@tmpcounter}{\ALG@thislifetime}% the block has 'space' for another included block + \addtocounter{ALG@tmpcounter}{-1}% + \expandafter\edef\csname ALG@currentlifetime@\theALG@nested\endcsname{\arabic{ALG@tmpcounter}}% + \fi% + \let\ALG@makebeginrepeat\ALG@doentity% + \else% the block needs to be closed + \expandafter\ifx\csname ALG@b@\ALG@L @\ALG@thisentity @\csname ALG@currentblock@\theALG@nested\endcsname\endcsname\relax% + \ALG@closebyforce% I can not close this block, continue after it is closed by force +% \ALG@makebegin% + \else% + % the block would be closed automatically, but this entitie can close it, so let's do it with the entity + \let\ALG@makebeginrepeat\ALG@doentity% + \fi% + \fi% + \fi% + \ALG@makebeginrepeat% + }% +% +\def\ALG@makenobegin% executes an entitie that can not open blocks + {% + \expandafter\ifx\csname ALG@currentlifetime@\theALG@nested\endcsname\relax% + \let\ALG@makenobeginrepeat\ALG@doentity% an infinite block must be broken + \else% + \expandafter\ifx\csname ALG@b@\ALG@L @\ALG@thisentity @\csname ALG@currentblock@\theALG@nested\endcsname\endcsname\relax% + \ALG@closebyforce% the block must be ended by force, + \else% + \let\ALG@makenobeginrepeat\ALG@doentity% I can continue / end this block, let's do it + \fi% + \fi% + \ALG@makenobeginrepeat% + }% +% +\def\ALG@dobegin% + {% + \ALG@beginblock{\csname ALG@i@\ALG@L @\ALG@thisentity @\ALG@thisblock\endcsname}% + \expandafter\edef\csname ALG@currentblock@\theALG@nested\endcsname{\csname ALG@b@\ALG@L @\ALG@thisentity @\ALG@thisblock\endcsname}% + \expandafter\ifx\csname ALG@c@\ALG@L @\ALG@thisentity @\ALG@thisblock\endcsname\relax% + \expandafter\let\csname ALG@currentlifetime@\theALG@nested\endcsname\relax% + \else% + \expandafter\edef\csname ALG@currentlifetime@\theALG@nested\endcsname{\csname ALG@c@\ALG@L @\ALG@thisentity @\ALG@thisblock\endcsname}% + \fi% + }% +% +\def\ALG@doend% + {% + \ALG@endblock% + }% +% +\def\ALG@doentity% the number of the closed block, the entitie + {% + \edef\ALG@thisblock{\csname ALG@currentblock@\theALG@nested\endcsname}% + \expandafter\ifx\csname ALG@b@\ALG@L @\ALG@thisentity @\ALG@thisblock\endcsname\relax% + \def\ALG@thisblock{0}% + \fi% + \ALG@getentitytext% + \ifnum\ALG@thisblock=0\else\ALG@doend\fi% + \ifx\ALG@text\ALG@x@notext% + \item[]\nointerlineskip%\vskip-\prevdepth\nointerlineskip% bug: if there are no text and no lines, then this is wrong + \else% + \item% + \fi% + \noindent\hskip\ALG@tlm% + \expandafter\ifnum0=\csname ALG@b@\ALG@L @\ALG@thisentity @\ALG@thisblock\endcsname\else% + \ALG@dobegin% + \fi% + \def\ALG@entitiecommand{\ALG@displayentity}% + }% +% +\def\ALG@getentitytext% + {% + \expandafter\let\expandafter\ALG@text\csname ALG@t@\ALG@L @\ALG@thisentity @\ALG@thisblock\endcsname% + \ifx\ALG@text\ALG@x@default% + % block specific - default + \expandafter\let\expandafter\ALG@text\csname ALG@t@\ALG@L @\ALG@thisentity\endcsname% + \ifx\ALG@text\ALG@x@default% + % block specific - default, language specific - default + \def\ALG@text{\ALG@deftext{\ALG@thisentity}}% + \fi% + \fi% + }% +% +\def\ALG@deftext{\csname ALG@deftext@\ALG@L\endcsname}% +% +\def\ALG@displayentity% + {% + \ifx\ALG@text\ALG@x@notext% + \let\ALG@text\relax% + \fi + \ALG@text% + }% +% +\def\ALG@closebyforce% + {% + \ALG@endblock% + }% +% +\def\ALG@closeloops% closes all finite blocks + {% + \expandafter\ifx\csname ALG@currentlifetime@\theALG@nested\endcsname\relax% + \else% only if it is finite + \ALG@closebyforce% the block must be ended by force, + \ALG@closeloops% the command still runs + \fi% + }% +% +% +% *** Low level block/entitie defining commands *** +% +% +\def\ALG@bl@{0}% the BIG block +\let\ALG@bl@@\ALG@bl@% the BIG block +% +% Create a block +% +\def\ALG@createblock#1% create the block #1, if it does not exists + {% + \@ifundefined{ALG@bl@\ALG@Ld @#1}% needs to be created? + {% + \addtocounter{ALG@blocknr}{1}% increment the block counter + \expandafter\edef\csname ALG@bl@\ALG@Ld @#1\endcsname{\arabic{ALG@blocknr}}% set the block number + }% + {}% + }% +% +% Get the block number +% +\def\ALG@getblocknumber#1{\csname ALG@bl@\ALG@Ld @#1\endcsname}% +% +% Create an entitie +% +\def\ALG@createentitie#1% create the entitie #1, if it does not exists + {% + \expandafter\ALG@edefcmd\csname #1\endcsname{\noexpand\ALG@makeentity{#1}}% + \@ifundefined{ALG@t@\ALG@Ld @#1}% the entity text is defined in this language? + {% + \expandafter\let\csname ALG@t@\ALG@Ld @#1\endcsname\ALG@x@default% + }% + {}% + }% +% +\def\ALG@createtext#1#2% #1 = closed block; #2 = entitie; creates \ALG@t@#2@#1 + {% + \expandafter\let\csname ALG@t@\ALG@Ld @#2@#1\endcsname\ALG@x@default% + }% +% +% End and Continue block +% +\def\ALG@endandcontinueblock#1#2#3#4#5% #1 = new block; #2 = old block; #3 = entitie; #4 = credits; #5 = indent + {% + \ifthenelse{\equal{#3}{}}{}% execute only if the entity is not empty + {% + \ALG@createentitie{#3}% create the entitie + \ALG@createblock{#2}% create the old block, if needed + \ifthenelse{\equal{#1}{}}% whe need to open a new block? + {\expandafter\edef\csname ALG@b@\ALG@Ld @#3@\ALG@getblocknumber{#2}\endcsname{0}}% no, just close the old one + {% yes, + \ALG@createblock{#1}% create the block + \expandafter\edef\csname ALG@b@\ALG@Ld @#3@\ALG@getblocknumber{#2}\endcsname{\ALG@getblocknumber{#1}}% ending the old block opens a new one + \ifthenelse{\equal{#4}{}}% infinite or finite credits? + {\expandafter\let\csname ALG@c@\ALG@Ld @#3@\ALG@getblocknumber{#2}\endcsname\relax}% infinite credits + {\expandafter\edef\csname ALG@c@\ALG@Ld @#3@\ALG@getblocknumber{#2}\endcsname{#4}}% finite credits + \ifthenelse{\equal{#5}{}}% default or specified indentation + {\expandafter\let\csname ALG@i@\ALG@Ld @#3@\ALG@getblocknumber{#2}\endcsname\ALG@defaultindent}% default indentation + {\expandafter\edef\csname ALG@i@\ALG@Ld @#3@\ALG@getblocknumber{#2}\endcsname{#5}}% indentation is specified + }% + \ALG@createtext{\ALG@getblocknumber{#2}}{#3}% + }% + }% +% +% macros used in declarations +% +\def\ALG@p@endtext@E{\algrenewtext{\ALG@v@end}}% +\def\ALG@p@endtext@xE{\algrenewtext[\ALG@v@newblock]{\ALG@v@end}}% +\def\ALG@p@endtext@nE{\algnotext{\ALG@v@end}}% +\def\ALG@p@endtext@xnE{\algnotext[\ALG@v@newblock]{\ALG@v@end}}% +\def\ALG@p@endtext@{}% +% starttext defines are more compex -- care must be taken for the optional parameters +\def\ALG@p@starttext@S{\ALG@p@s@process{\algrenewtext}}% +\def\ALG@p@starttext@C{\ALG@p@s@process{\algrenewtext}}% +\def\ALG@p@starttext@xC{\ALG@p@s@process{\algrenewtext[\ALG@v@oldblock]}}% +\def\ALG@p@s@process#1% + {% + \ifthenelse{\equal{\ALG@v@start}{}}% + {\ALG@p@endtext}% + {\@ifnextchar{[}{\ALG@p@s@getparamcount{#1}}{\ALG@p@s@simple{#1}}}% + }% +\def\ALG@p@s@getparamcount#1[#2]% + {% + \@ifnextchar{[}{\ALG@p@s@getdefparam{#1}{#2}}{\ALG@p@s@param{#1}{#2}}% + }% +\def\ALG@p@s@getdefparam#1#2[#3]% + {% + \ALG@p@s@defparam{#1}{#2}{#3}% + }% +\def\ALG@p@s@simple#1#2{#1{\ALG@v@start}{#2}\ALG@p@endtext}% +\def\ALG@p@s@param#1#2#3{#1{\ALG@v@start}[#2]{#3}\ALG@p@endtext}% +\def\ALG@p@s@defparam#1#2#3#4{#1{\ALG@v@start}[#2][#3]{#4}\ALG@p@endtext}% +% the rest of the crew +\def\ALG@p@starttext@nS{\algnotext{\ALG@v@start}\ALG@p@endtext}% +\def\ALG@p@starttext@nC{\algnotext{\ALG@v@start}\ALG@p@endtext}% +\def\ALG@p@starttext@xnC{\algnotext[\ALG@v@oldblock]{\ALG@v@start}\ALG@p@endtext}% +\def\ALG@p@starttext@{\ALG@p@endtext}% +\def\ALG@p@indent@def#1{\def\ALG@v@indent{#1}\ALG@p@setup}% +\def\ALG@p@indent@{\def\ALG@v@indent{}\ALG@p@setup}% +\def\ALG@p@credits@def#1{\def\ALG@v@credits{#1}\ALG@p@indent}% +\def\ALG@p@credits@{\ALG@p@indent}% +\def\ALG@p@end@def#1{\def\ALG@v@end{#1}\ALG@p@credits}% +\def\ALG@p@end@{\def\ALG@v@end{}\ALG@p@credits}% +\def\ALG@p@start@def#1{\def\ALG@v@start{#1}\ALG@p@end}% +\def\ALG@p@start@{\def\ALG@v@start{}\ALG@p@end}% +\def\ALG@p@oldblock@def#1{\def\ALG@v@oldblock{#1}\ALG@p@start}% +\def\ALG@p@oldblock@{\def\ALG@v@oldblock{}\ALG@p@start}% +\newcommand\ALG@p@newblock[1][]{\def\ALG@v@newblock{#1}\ALG@p@oldblock}% +\def\ALG@p@setup% + {% + \ifthenelse{\equal{\ALG@v@newblock}{}}% + {% + \ifthenelse{\equal{\ALG@v@start}{}}% + {% + \PackageError{algorithmicx}{Block or starting entitie must be specified!!!}{}% + }% + {% + \let\ALG@v@newblock\ALG@v@start% + }% + }% + {% + }% + \ALG@endandcontinueblock% + {\ALG@v@newblock}{\ALG@v@oldblock}{\ALG@v@start}% + {\ALG@v@credits}{\ALG@v@indent}% + \ALG@endandcontinueblock% + {}{\ALG@v@newblock}{\ALG@v@end}% + {}{}% + \ALG@p@starttext% + }% +% +% param handling +% +\newcommand\ALG@p@def[2][def]% + {% + \expandafter\let\csname ALG@p@#2\expandafter\endcsname\csname ALG@p@#2@#1\endcsname% + }% +\def\ALG@p@undef{\ALG@p@def[]}% +% +\def\ALG@p@ons{\ALG@p@def{start}}% +\def\ALG@p@onS{\ALG@p@def{start}\ALG@p@def[S]{starttext}}% +\def\ALG@p@onc{\ALG@p@def{oldblock}\ALG@p@def{start}}% +\def\ALG@p@onC{\ALG@p@def{oldblock}\ALG@p@def{start}\ALG@p@def[C]{starttext}}% +\def\ALG@p@one{\ALG@p@def{end}}% +\def\ALG@p@onE{\ALG@p@def{end}\ALG@p@def[E]{endtext}}% +\def\ALG@p@onxC{\ALG@p@def{oldblock}\ALG@p@def{start}\ALG@p@def[xC]{starttext}}% +\def\ALG@p@onxE{\ALG@p@def{end}\ALG@p@def[xE]{endtext}}% +\def\ALG@p@onnS{\ALG@p@def{start}\ALG@p@def[nS]{starttext}}% +\def\ALG@p@onnC{\ALG@p@def{oldblock}\ALG@p@def{start}\ALG@p@def[nC]{starttext}}% +\def\ALG@p@onnE{\ALG@p@def{end}\ALG@p@def[nE]{endtext}}% +\def\ALG@p@onxnC{\ALG@p@def{oldblock}\ALG@p@def{start}\ALG@p@def[xnC]{starttext}}% +\def\ALG@p@onxnE{\ALG@p@def{end}\ALG@p@def[xnE]{endtext}}% +\def\ALG@p@onb{\def\ALG@v@credits{}}% +\def\ALG@p@onl{\def\ALG@v@credits{1}}% +\def\ALG@p@onL{\ALG@p@def{credits}}% +\def\ALG@p@oni{\ALG@p@def{indent}}% +% +\def\ALG@p@main#1% + {% + \@ifundefined{ALG@ps@\ALG@p@state @#1}% + {% + \csname ALG@ps@\ALG@p@state @other\endcsname{#1}% + }% + {% + \csname ALG@ps@\ALG@p@state @#1\endcsname% + }% + \ALG@p@rec% + }% +% STATE : <> +\expandafter\def\csname ALG@ps@@]\endcsname{\let\ALG@p@rec\relax}% +\def\ALG@ps@@s{\ALG@p@ons}% +\def\ALG@ps@@S{\ALG@p@onS}% +\def\ALG@ps@@c{\ALG@p@onc}% +\def\ALG@ps@@C{\ALG@p@onC}% +\def\ALG@ps@@e{\ALG@p@one}% +\def\ALG@ps@@E{\ALG@p@onE}% +\def\ALG@ps@@N{\typeout{algdef: 'N' obsoloted, use 'nE'.}\ALG@p@onnE}% +\def\ALG@ps@@b{\ALG@p@onb}% +\def\ALG@ps@@l{\ALG@p@onl}% +\def\ALG@ps@@L{\ALG@p@onL}% +\def\ALG@ps@@i{\ALG@p@oni}% +\def\ALG@ps@@x{\def\ALG@p@state{x}}% +\def\ALG@ps@@n{\def\ALG@p@state{n}}% +\def\ALG@ps@@other#1{\typeout{algdef: Ignoring unknown token #1}}% +% STATE : x +\def\ALG@ps@x@C{\def\ALG@p@state{}\ALG@p@onxC}% +\def\ALG@ps@x@E{\def\ALG@p@state{}\ALG@p@onxE}% +\def\ALG@ps@x@N{\def\ALG@p@state{}\typeout{algdef: 'xN' obsoloted, use 'xnE'.}\ALG@p@onxnE}% +\def\ALG@ps@x@n{\def\ALG@p@state{xn}}% +\def\ALG@ps@x@other#1% + {% + \typeout{algdef: Ignoring 'x' before '#1'.}% + \def\ALG@p@state{}% + \def\ALG@p@rec{\let\ALG@p@rec\ALG@p@main\ALG@p@rec#1}% + }% +% STATE : n +\def\ALG@ps@n@S{\def\ALG@p@state{}\ALG@p@onnS}% +\def\ALG@ps@n@C{\def\ALG@p@state{}\ALG@p@onnC}% +\def\ALG@ps@n@E{\def\ALG@p@state{}\ALG@p@onnE}% +\def\ALG@ps@n@x{\def\ALG@p@state{nx}}% +\def\ALG@ps@n@other#1% + {% + \typeout{algdef: Ignoring 'n' before '#1'.}% + \def\ALG@p@state{}% + \def\ALG@p@rec{\let\ALG@p@rec\ALG@p@main\ALG@p@rec#1}% + }% +% STATE : xn +\def\ALG@ps@xn@C{\def\ALG@p@state{}\ALG@p@onxnC}% +\def\ALG@ps@xn@E{\def\ALG@p@state{}\ALG@p@onxnE}% +\def\ALG@ps@xn@x{\typeout{algdef: Ignoring 'x' after 'xn'.}}% +\def\ALG@ps@xn@n{\typeout{algdef: Ignoring 'n' after 'xn'.}}% +\def\ALG@ps@xn@other#1% + {% + \typeout{algdef: Ignoring 'xn' before '#1'.}% + \def\ALG@p@state{}% + \def\ALG@p@rec{\let\ALG@p@rec\ALG@p@main\ALG@p@rec#1}% + }% +% STATE : nx +\def\ALG@ps@nx@C{\def\ALG@p@state{}\ALG@p@onxnC}% +\def\ALG@ps@nx@E{\def\ALG@p@state{}\ALG@p@onxnE}% +\def\ALG@ps@nx@x{\typeout{algdef: Ignoring 'x' after 'nx'.}}% +\def\ALG@ps@nx@n{\typeout{algdef: Ignoring 'n' after 'nx'.}}% +\def\ALG@ps@nx@other#1% + {% + \typeout{algdef: Ignoring 'nx' before '#1'.}% + \def\ALG@p@state{}% + \def\ALG@p@rec{\let\ALG@p@rec\ALG@p@main\ALG@p@rec#1}% + }% +% +% +% *** User level block/entitie commands *** +% +% +% +% algdef{switches}... -- the king of all definitions in the algorithmicx package +% +\newcommand\algdef[1]% + {% + \ALG@p@undef{oldblock}% + \ALG@p@undef{start}% + \ALG@p@undef{end}% + \def\ALG@v@credits{}% + \ALG@p@undef{credits}% + \ALG@p@undef{indent}% + \ALG@p@undef{starttext}% + \ALG@p@undef{endtext}% + \def\ALG@p@state{}% + \let\ALG@p@rec\ALG@p@main% + \ALG@p@rec#1]% + \ALG@p@newblock% + }% +% +% a lot of other macros are provided for convenience +% +\def\algblock{\algdef{se}}% +\def\algcblock{\algdef{ce}}% +\def\algloop{\algdef{sl}}% +\def\algcloop{\algdef{cl}}% +\def\algsetblock{\algdef{seLi}}% +\def\algsetcblock{\algdef{ceLi}}% +\def\algblockx{\algdef{SxE}}% +\def\algblockdefx{\algdef{SE}}% +\def\algcblockx{\algdef{CxE}}% +\def\algcblockdefx{\algdef{CE}}% +\def\algsetblockx{\algdef{SxELi}}% +\def\algsetblockdefx{\algdef{SELi}}% +\def\algsetcblockx{\algdef{CxELi}}% +\def\algsetcblockdefx{\algdef{CELi}}% +\def\algloopdefx{\algdef{Sl}}% +\def\algcloopx{\algdef{xCl}}% +\def\algcloopdefx{\algdef{Cl}}% +% algloopx is not correct, use algloopdefx +% +% Text output commands +% +\newcommand\algrenewtext[2][]% [block]{entity} + {% + \ifthenelse{\equal{#2}{}}{}% + {% + \ifthenelse{\equal{#1}{}}% + {% + \expandafter\let\csname ALG@t@\ALG@Ld @#2\endcsname\relax% + \expandafter\newcommand\csname ALG@t@\ALG@Ld @#2\endcsname% + }% + {% + \expandafter\let\csname ALG@t@\ALG@Ld @#2@\ALG@getblocknumber{#1}\endcsname\relax% + \expandafter\newcommand\csname ALG@t@\ALG@Ld @#2@\ALG@getblocknumber{#1}\endcsname% + }% + }% + }% +% +\def\ALG@letentitytext#1#2% [block]{entity} + {% + \ifthenelse{\equal{#2}{}}{}% + {% + \ifthenelse{\equal{#1}{}}% + {% + \expandafter\let\csname ALG@t@\ALG@Ld @#2\endcsname% + }% + {% + \expandafter\let\csname ALG@t@\ALG@Ld @#2@\ALG@getblocknumber{#1}\endcsname% + }% + }% + }% +% +\newcommand\algnotext[2][]% [block]{entity} + {% + \ALG@letentitytext{#1}{#2}\ALG@x@notext% + }% +% +\newcommand\algdefaulttext[2][]% [block]{entity} + {% + \ALG@letentitytext{#1}{#2}\ALG@x@default% + }% +% +\def\ALG@notext*{\algnotext}% +\def\algtext{\@ifnextchar{*}{\ALG@notext}{\algrenewtext}}% +% +% +% *** LANGUAGE SWITCHING *** +% +% +% +\newcommand\algnewlanguage[1]% + {% + \@ifundefined{ALG@L@#1}% needs to be created? + {}% + {% + \PackageError{algorithmicx}{Language '#1' already defined!}{}% + }% + \addtocounter{ALG@Lnr}{1}% increment the language counter + \expandafter\edef\csname ALG@L@#1\endcsname{\arabic{ALG@Lnr}}% set the language number + \edef\ALG@Ld{\csname ALG@L@#1\endcsname}% + \expandafter\let\csname ALG@bl@\ALG@Ld @\endcsname\ALG@bl@% the BIG block + \expandafter\let\csname ALG@bl@\ALG@Ld @@\endcsname\ALG@bl@% the BIG block + \algdef{SL}[STATE]{State}{0}{}% + \expandafter\def\csname ALG@deftext@\ALG@Ld\endcsname{\textbf}% + \algnewcommand\algorithmiccomment[1]{\hfill\(\triangleright\) ##1}% + \algnewcommand\algorithmicindent{1.5em}% + \algnewcommand\alglinenumber[1]{\footnotesize ##1:}% + \algnewcommand\ALG@beginalgorithmic\relax% for user overrides + \algnewcommand\ALG@endalgorithmic\relax% for user overrides + }% +% +\newcommand\algsetlanguage[1]% + {% + \@ifundefined{ALG@L@#1}% needs to be created? + {% + \PackageError{algorithmicx}{Language '#1' is not yet defined!}{}% + }{}% + \edef\ALG@L{\csname ALG@L@#1\endcsname}% + }% +% +\newcommand\algdeflanguage[1]% + {% + \@ifundefined{ALG@L@#1}% needs to be created? + {% + \PackageError{algorithmicx}{Language '#1' is not yet defined!}{}% + }{}% + \edef\ALG@Ld{\csname ALG@L@#1\endcsname}% + }% +% +\newcommand\alglanguage[1]% + {% + \algdeflanguage{#1}% + \algsetlanguage{#1}% + }% +% +% +% *** Defining language dependent stuff *** +% +% +\def\ALG@eatoneparam#1{}% +\def\ALG@defbasecmd#1#2% + {% + \edef\ALG@tmp{\expandafter\ALG@eatoneparam\string #2}% + \@ifundefined\ALG@tmp{\edef #2{\noexpand\csname ALG@cmd@\noexpand\ALG@L @\ALG@tmp\endcsname}}{}% + \expandafter#1\csname ALG@cmd@\ALG@Ld @\ALG@tmp\endcsname% + }% +\newcommand\algnewcommand{\ALG@defbasecmd\newcommand}% +\newcommand\algrenewcommand{\ALG@defbasecmd\renewcommand}% +\def\ALG@letcmd{\ALG@defbasecmd\let}% +\def\ALG@defcmd{\ALG@defbasecmd\def}% +\def\ALG@edefcmd{\ALG@defbasecmd\edef}% +% +% +% *** OTHERS *** +% +% +\def\BState{\State \algbackskip}% +\def\Statex{\item[]}% an empty line +\newcommand\algrenewcomment{\algrenewcommand\algorithmiccomment}% +\def\Comment{\algorithmiccomment}% +\def\algref#1#2{\ref{#1}.\ref{#2}}% +\algnewlanguage{default}% +\algsetlanguage{default}% +% +% +% *** Line breaks *** +% +% +\newcommand\algbreak% for multiline parameters !!! needs fix + {% + \item% +% \hskip\ALG@parindent%!!! not yet implemented +% \hskip-\algorithmicindent% + }% +% +\def\ALG@noputindents% + {% + \hskip\ALG@tlm% + }% +% +% +% *** algorithm store / restore *** +% +% +% store +% +\ALG@newcondstate{mustrestore}% +\def\algstore% + {% + \renewcommand\ALG@beginblock% + {% + \PackageError{algorithmicx}{The environment must be closed after store!}{}% + }% + \@ifstar{\ALG@starstore}{\ALG@nostarstore}% + }% +\def\ALG@nostarstore#1% save all infos into #1 and terminate the algorithmic block + {% + \addtocounter{ALG@storecount}{1}% + \expandafter\global\expandafter\let\csname ALG@save@mustrestore@#1\endcsname\ALG@x@mustrestore% + \ALG@starstore{#1}% + }% +\def\ALG@starstore#1% + {% + \@ifundefined{ALG@save@line@#1}{}% + {\PackageError{algorithmicx}{This save name '#1' is already used!}{}}% + \def\ALG@savename{#1}% + \expandafter\xdef\csname ALG@save@totalnr@\ALG@savename\endcsname{\theALG@nested}% + \expandafter\xdef\csname ALG@save@line@\ALG@savename\endcsname{\theALG@line}% + \expandafter\xdef\csname ALG@save@numberfreq@\ALG@savename\endcsname{\ALG@numberfreq}% + \expandafter\xdef\csname ALG@save@rem@\ALG@savename\endcsname{\theALG@rem}% + \let\ALG@storerepeat\ALG@store% + \ALG@storerepeat% + }% +\def\ALG@store% simply terminate all open blocks + {% + \ifnum\theALG@nested=0\let\ALG@storerepeat\relax% + \else% + \expandafter\xdef\csname ALG@save@currentblock@\ALG@savename @\theALG@nested\endcsname% + {\csname ALG@currentblock@\theALG@nested\endcsname}% + \expandafter\ifx\csname ALG@currentlifetime@\theALG@nested\endcsname\relax% + \else% + \expandafter\xdef\csname ALG@save@currentlifetime@\ALG@savename @\theALG@nested\endcsname% + {\csname ALG@currentlifetime@\theALG@nested\endcsname}% + \fi% + \expandafter\xdef\csname ALG@save@ind@\ALG@savename @\theALG@nested\endcsname% + {\csname ALG@ind@\theALG@nested\endcsname}% + \ALG@closebyforce% + \fi% + \ALG@storerepeat% + }% +% +% restore +% +\def\algrestore% + {% + \@ifstar{\ALG@starrestore}{\ALG@nostarrestore}% + }% +\def\ALG@starrestore% + {% + \let\ALG@restorerem\relax% + \let\ALG@restorereprem\relax% + \ALG@restoremain% + }% +\def\ALG@nostarrestore% + {% + \let\ALG@restorerem\ALG@restoreremovesave% + \let\ALG@restorereprem\ALG@restorerepremovesave% + \ALG@restoremain% + }% +\def\ALG@restoreremovesave% + {% + \expandafter\global\expandafter\let\csname ALG@save@totalnr@\ALG@savename\endcsname\relax% + \expandafter\global\expandafter\let\csname ALG@save@line@\ALG@savename\endcsname\relax% + \expandafter\global\expandafter\let\csname ALG@save@rem@\ALG@savename\endcsname\relax% + \expandafter\global\expandafter\let\csname ALG@save@totalnr@\ALG@savename\endcsname\relax% + \expandafter\global\expandafter\let\csname ALG@save@numberfreq@\ALG@savename\endcsname\relax% + }% +\def\ALG@restorerepremovesave% + {% + \expandafter\global\expandafter\let\csname ALG@save@currentblock@\ALG@savename @\theALG@tmpcounter\endcsname\relax% + \expandafter\global\expandafter\let\csname ALG@save@currentlifetime@\ALG@savename @\theALG@tmpcounter\endcsname\relax% + \expandafter\global\expandafter\let\csname ALG@save@currentlifetime@\ALG@savename @\theALG@tmpcounter\endcsname\relax% + \expandafter\global\expandafter\let\csname ALG@save@ind@\ALG@savename @\theALG@tmpcounter\endcsname\relax% + }% +\def\ALG@restoremain#1% restore all infos from #1 in an open algorithmic block + {% + \ifnum\theALG@line=0% + \else\PackageError{algorithmicx}{Restore might be used only at the beginning of the environment!}{}% + \fi% + \def\ALG@savename{#1}% + \expandafter\ifx\csname ALG@save@totalnr@\ALG@savename\endcsname\relax% + \PackageError{algorithmicx}{Save '\ALG@savename'\space not defined!!!}{}% + \fi% + \@ifundefined{ALG@save@mustrestore@\ALG@savename}{}% + {% + \addtocounter{ALG@storecount}{-1}% + \expandafter\global\expandafter\let\csname ALG@save@mustrestore@\ALG@savename\endcsname\relax% + }% + \setcounter{ALG@line}{\csname ALG@save@line@\ALG@savename\endcsname}% + \edef\ALG@numberfreq{\csname ALG@save@numberfreq@\ALG@savename\endcsname}% + \setcounter{ALG@rem}{\csname ALG@save@rem@\ALG@savename\endcsname}% + \setcounter{ALG@tmpcounter}{\csname ALG@save@totalnr@\ALG@savename\endcsname}% + \setcounter{ALG@nested}{0}% + \ALG@restorerem% + \let\ALG@restorerepeat\ALG@restore% + \ALG@restorerepeat% + }% +\def\ALG@restore% + {% + \ifnum\theALG@tmpcounter>0% + \expandafter\edef\csname ALG@currentblock@\theALG@tmpcounter\endcsname% + {\csname ALG@save@currentblock@\ALG@savename @\theALG@tmpcounter\endcsname}% + \expandafter\ifx\csname ALG@save@currentlifetime@\ALG@savename @\theALG@tmpcounter\endcsname\relax% + \expandafter\let\csname ALG@currentlifetime@\theALG@tmpcounter\endcsname\relax% + \else% + \expandafter\edef\csname ALG@currentlifetime@\theALG@tmpcounter\endcsname% + {\csname ALG@save@currentlifetime@\ALG@savename @\theALG@tmpcounter\endcsname}% + \fi% + % + \ALG@beginblock{\csname ALG@save@ind@\ALG@savename @\theALG@tmpcounter\endcsname}% + \ALG@restorereprem% + \addtocounter{ALG@tmpcounter}{-1}% + \else\let\ALG@restorerepeat\relax% + \fi% + \ALG@restorerepeat% + }% +\AtEndDocument% + {% + \ifnum\theALG@storecount>0\relax% + \PackageError{algorithmicx}{Some stored algorithms are not restored!}{}% + \fi% + }% diff --git a/latex/algpseudocode.sty b/latex/algpseudocode.sty new file mode 100644 index 0000000..fca966a --- /dev/null +++ b/latex/algpseudocode.sty @@ -0,0 +1,92 @@ +% PSEUDOCODE ALGORITHMIC STYLE -- Released 27 APR 2005 +% for LaTeX version 2e +% +% Copyright Szasz Janos +% E-mail szaszjanos@users.sourceforge.net +% Based on Peter Williams's algorithmic.sty +% +\NeedsTeXFormat{LaTeX2e}% +\ProvidesPackage{algpseudocode}% +\RequirePackage{ifthen}% +\RequirePackage{algorithmicx}% +\typeout{Document Style - pseudocode environments for use with the `algorithmicx' style}% +% +\def\ALG@noend{f}% +\newboolean{ALG@compatible}% +\setboolean{ALG@compatible}{false}% +% +\DeclareOption{noend}{\def\ALG@noend{t}}% +\DeclareOption{end}{\def\ALG@noend{f}}% +\DeclareOption{compatible}{\typeout{For compatibility mode use algcompatible.sty!!!}\setboolean{ALG@compatible}{true}}% +\DeclareOption{noncompatible}{\setboolean{ALG@noncompatible}{false}}% +\ProcessOptions% +% +% *** DECLARATIONS *** +% +\algnewlanguage{pseudocode}% +\alglanguage{pseudocode}% +% +% *** KEYWORDS *** +% +\algnewcommand\algorithmicend{\textbf{end}} +\algnewcommand\algorithmicdo{\textbf{do}} +\algnewcommand\algorithmicwhile{\textbf{while}} +\algnewcommand\algorithmicfor{\textbf{for}} +\algnewcommand\algorithmicforall{\textbf{for all}} +\algnewcommand\algorithmicloop{\textbf{loop}} +\algnewcommand\algorithmicrepeat{\textbf{repeat}} +\algnewcommand\algorithmicuntil{\textbf{until}} +\algnewcommand\algorithmicprocedure{\textbf{procedure}} +\algnewcommand\algorithmicfunction{\textbf{function}} +\algnewcommand\algorithmicif{\textbf{if}} +\algnewcommand\algorithmicthen{\textbf{then}} +\algnewcommand\algorithmicelse{\textbf{else}} +\algnewcommand\algorithmicrequire{\textbf{Require:}} +\algnewcommand\algorithmicensure{\textbf{Ensure:}} +\algnewcommand\algorithmicreturn{\textbf{return}} +\algnewcommand\textproc{\textsc} +% +% *** DECLARED LOOPS *** +% +\algdef{SE}[WHILE]{While}{EndWhile}[1]{\algorithmicwhile\ #1\ \algorithmicdo}{\algorithmicend\ \algorithmicwhile}% +\algdef{SE}[FOR]{For}{EndFor}[1]{\algorithmicfor\ #1\ \algorithmicdo}{\algorithmicend\ \algorithmicfor}% +\algdef{S}[FOR]{ForAll}[1]{\algorithmicforall\ #1\ \algorithmicdo}% +\algdef{SE}[LOOP]{Loop}{EndLoop}{\algorithmicloop}{\algorithmicend\ \algorithmicloop}% +\algdef{SE}[REPEAT]{Repeat}{Until}{\algorithmicrepeat}[1]{\algorithmicuntil\ #1}% +\algdef{SE}[IF]{If}{EndIf}[1]{\algorithmicif\ #1\ \algorithmicthen}{\algorithmicend\ \algorithmicif}% +\algdef{C}[IF]{IF}{ElsIf}[1]{\algorithmicelse\ \algorithmicif\ #1\ \algorithmicthen}% +\algdef{Ce}[ELSE]{IF}{Else}{EndIf}{\algorithmicelse}% +\algdef{SE}[PROCEDURE]{Procedure}{EndProcedure}% + [2]{\algorithmicprocedure\ \textproc{#1}\ifthenelse{\equal{#2}{}}{}{(#2)}}% + {\algorithmicend\ \algorithmicprocedure}% +\algdef{SE}[FUNCTION]{Function}{EndFunction}% + [2]{\algorithmicfunction\ \textproc{#1}\ifthenelse{\equal{#2}{}}{}{(#2)}}% + {\algorithmicend\ \algorithmicfunction}% +% +\ifthenelse{\equal{\ALG@noend}{t}}% + {% + \algtext*{EndWhile}% + \algtext*{EndFor}% + \algtext*{EndLoop}% + \algtext*{EndIf}% + \algtext*{EndProcedure}% + \algtext*{EndFunction}% + }{}% +% +% *** OTHER DECLARATIONS *** +% +\algnewcommand\Require{\item[\algorithmicrequire]}% +\algnewcommand\Ensure{\item[\algorithmicensure]}% +\algnewcommand\Return{\algorithmicreturn{} }% +\algnewcommand\Call[2]{\textproc{#1}\ifthenelse{\equal{#2}{}}{}{(#2)}}% +% +% +% +\ifthenelse{\boolean{ALG@compatible}}% + {% + \ifthenelse{\equal{\ALG@noend}{t}}% + {\RequirePackage[noend]{algcompatible}}% + {\RequirePackage{algcompatible}}% + }% + {}% +% diff --git a/latex/arxiv.sty b/latex/arxiv.sty new file mode 100644 index 0000000..081d21c --- /dev/null +++ b/latex/arxiv.sty @@ -0,0 +1,262 @@ +\NeedsTeXFormat{LaTeX2e} + +\ProcessOptions\relax + +% fonts +\renewcommand{\rmdefault}{ptm} +\renewcommand{\sfdefault}{phv} + +% set page geometry +\usepackage[verbose=true,letterpaper]{geometry} +\AtBeginDocument{ + \newgeometry{ + textheight=9in, + textwidth=6.5in, + top=1in, + headheight=14pt, + headsep=25pt, + footskip=30pt + } +} + +\widowpenalty=10000 +\clubpenalty=10000 +\flushbottom +\sloppy + + + +\newcommand{\headeright}{A Preprint} +\newcommand{\undertitle}{A Preprint} +\newcommand{\shorttitle}{\@title} + +\usepackage{fancyhdr} +\fancyhf{} +\pagestyle{fancy} +\renewcommand{\headrulewidth}{0.4pt} +\fancyheadoffset{0pt} +\rhead{\scshape \footnotesize \headeright} +\chead{\shorttitle} +\cfoot{\thepage} + + +%Handling Keywords +\def\keywordname{{\bfseries \emph{Keywords}}}% +\def\keywords#1{\par\addvspace\medskipamount{\rightskip=0pt plus1cm +\def\and{\ifhmode\unskip\nobreak\fi\ $\cdot$ +}\noindent\keywordname\enspace\ignorespaces#1\par}} + +% font sizes with reduced leading +\renewcommand{\normalsize}{% + \@setfontsize\normalsize\@xpt\@xipt + \abovedisplayskip 7\p@ \@plus 2\p@ \@minus 5\p@ + \abovedisplayshortskip \z@ \@plus 3\p@ + \belowdisplayskip \abovedisplayskip + \belowdisplayshortskip 4\p@ \@plus 3\p@ \@minus 3\p@ +} +\normalsize +\renewcommand{\small}{% + \@setfontsize\small\@ixpt\@xpt + \abovedisplayskip 6\p@ \@plus 1.5\p@ \@minus 4\p@ + \abovedisplayshortskip \z@ \@plus 2\p@ + \belowdisplayskip \abovedisplayskip + \belowdisplayshortskip 3\p@ \@plus 2\p@ \@minus 2\p@ +} +\renewcommand{\footnotesize}{\@setfontsize\footnotesize\@ixpt\@xpt} +\renewcommand{\scriptsize}{\@setfontsize\scriptsize\@viipt\@viiipt} +\renewcommand{\tiny}{\@setfontsize\tiny\@vipt\@viipt} +\renewcommand{\large}{\@setfontsize\large\@xiipt{14}} +\renewcommand{\Large}{\@setfontsize\Large\@xivpt{16}} +\renewcommand{\LARGE}{\@setfontsize\LARGE\@xviipt{20}} +\renewcommand{\huge}{\@setfontsize\huge\@xxpt{23}} +\renewcommand{\Huge}{\@setfontsize\Huge\@xxvpt{28}} + +% sections with less space +\providecommand{\section}{} +\renewcommand{\section}{% + \@startsection{section}{1}{\z@}% + {-2.0ex \@plus -0.5ex \@minus -0.2ex}% + { 1.5ex \@plus 0.3ex \@minus 0.2ex}% + {\large\bf\raggedright}% +} +\providecommand{\subsection}{} +\renewcommand{\subsection}{% + \@startsection{subsection}{2}{\z@}% + {-1.8ex \@plus -0.5ex \@minus -0.2ex}% + { 0.8ex \@plus 0.2ex}% + {\normalsize\bf\raggedright}% +} +\providecommand{\subsubsection}{} +\renewcommand{\subsubsection}{% + \@startsection{subsubsection}{3}{\z@}% + {-1.5ex \@plus -0.5ex \@minus -0.2ex}% + { 0.5ex \@plus 0.2ex}% + {\normalsize\bf\raggedright}% +} +\providecommand{\paragraph}{} +\renewcommand{\paragraph}{% + \@startsection{paragraph}{4}{\z@}% + {1.5ex \@plus 0.5ex \@minus 0.2ex}% + {-1em}% + {\normalsize\bf}% +} +\providecommand{\subparagraph}{} +\renewcommand{\subparagraph}{% + \@startsection{subparagraph}{5}{\z@}% + {1.5ex \@plus 0.5ex \@minus 0.2ex}% + {-1em}% + {\normalsize\bf}% +} +\providecommand{\subsubsubsection}{} +\renewcommand{\subsubsubsection}{% + \vskip5pt{\noindent\normalsize\rm\raggedright}% +} + +% float placement +\renewcommand{\topfraction }{0.85} +\renewcommand{\bottomfraction }{0.4} +\renewcommand{\textfraction }{0.1} +\renewcommand{\floatpagefraction}{0.7} + +\newlength{\@abovecaptionskip}\setlength{\@abovecaptionskip}{7\p@} +\newlength{\@belowcaptionskip}\setlength{\@belowcaptionskip}{\z@} + +\setlength{\abovecaptionskip}{\@abovecaptionskip} +\setlength{\belowcaptionskip}{\@belowcaptionskip} + +% swap above/belowcaptionskip lengths for tables +\renewenvironment{table} + {\setlength{\abovecaptionskip}{\@belowcaptionskip}% + \setlength{\belowcaptionskip}{\@abovecaptionskip}% + \@float{table}} + {\end@float} + +% footnote formatting +\setlength{\footnotesep }{6.65\p@} +\setlength{\skip\footins}{9\p@ \@plus 4\p@ \@minus 2\p@} +\renewcommand{\footnoterule}{\kern-3\p@ \hrule width 12pc \kern 2.6\p@} +\setcounter{footnote}{0} + +% paragraph formatting +\setlength{\parindent}{\z@} +\setlength{\parskip }{5.5\p@} + +% list formatting +\setlength{\topsep }{4\p@ \@plus 1\p@ \@minus 2\p@} +\setlength{\partopsep }{1\p@ \@plus 0.5\p@ \@minus 0.5\p@} +\setlength{\itemsep }{2\p@ \@plus 1\p@ \@minus 0.5\p@} +\setlength{\parsep }{2\p@ \@plus 1\p@ \@minus 0.5\p@} +\setlength{\leftmargin }{3pc} +\setlength{\leftmargini }{\leftmargin} +\setlength{\leftmarginii }{2em} +\setlength{\leftmarginiii}{1.5em} +\setlength{\leftmarginiv }{1.0em} +\setlength{\leftmarginv }{0.5em} +\def\@listi {\leftmargin\leftmargini} +\def\@listii {\leftmargin\leftmarginii + \labelwidth\leftmarginii + \advance\labelwidth-\labelsep + \topsep 2\p@ \@plus 1\p@ \@minus 0.5\p@ + \parsep 1\p@ \@plus 0.5\p@ \@minus 0.5\p@ + \itemsep \parsep} +\def\@listiii{\leftmargin\leftmarginiii + \labelwidth\leftmarginiii + \advance\labelwidth-\labelsep + \topsep 1\p@ \@plus 0.5\p@ \@minus 0.5\p@ + \parsep \z@ + \partopsep 0.5\p@ \@plus 0\p@ \@minus 0.5\p@ + \itemsep \topsep} +\def\@listiv {\leftmargin\leftmarginiv + \labelwidth\leftmarginiv + \advance\labelwidth-\labelsep} +\def\@listv {\leftmargin\leftmarginv + \labelwidth\leftmarginv + \advance\labelwidth-\labelsep} +\def\@listvi {\leftmargin\leftmarginvi + \labelwidth\leftmarginvi + \advance\labelwidth-\labelsep} + +% create title +\providecommand{\maketitle}{} +\renewcommand{\maketitle}{% + \par + \begingroup + \renewcommand{\thefootnote}{\fnsymbol{footnote}} + % for perfect author name centering + %\renewcommand{\@makefnmark}{\hbox to \z@{$^{\@thefnmark}$\hss}} + % The footnote-mark was overlapping the footnote-text, + % added the following to fix this problem (MK) + \long\def\@makefntext##1{% + \parindent 1em\noindent + \hbox to 1.8em{\hss $\m@th ^{\@thefnmark}$}##1 + } + \thispagestyle{empty} + \@maketitle + \@thanks + %\@notice + \endgroup + \let\maketitle\relax + \let\thanks\relax +} + +% rules for title box at top of first page +\newcommand{\@toptitlebar}{ + \hrule height 2\p@ + \vskip 0.25in + \vskip -\parskip% +} +\newcommand{\@bottomtitlebar}{ + \vskip 0.29in + \vskip -\parskip + \hrule height 2\p@ + \vskip 0.09in% +} + +% create title (includes both anonymized and non-anonymized versions) +\providecommand{\@maketitle}{} +\renewcommand{\@maketitle}{% + \vbox{% + \hsize\textwidth + \linewidth\hsize + \vskip 0.1in + \@toptitlebar + \centering + {\LARGE\sc \@title\par} + \@bottomtitlebar + \textsc{\undertitle}\\ + \vskip 0.1in + \def\And{% + \end{tabular}\hfil\linebreak[0]\hfil% + \begin{tabular}[t]{c}\bf\rule{\z@}{24\p@}\ignorespaces% + } + \def\AND{% + \end{tabular}\hfil\linebreak[4]\hfil% + \begin{tabular}[t]{c}\bf\rule{\z@}{24\p@}\ignorespaces% + } + \begin{tabular}[t]{c}\bf\rule{\z@}{24\p@}\@author\end{tabular}% + \vskip 0.4in \@minus 0.1in \center{\@date} \vskip 0.2in + } +} + +% add conference notice to bottom of first page +\newcommand{\ftype@noticebox}{8} +\newcommand{\@notice}{% + % give a bit of extra room back to authors on first page + \enlargethispage{2\baselineskip}% + \@float{noticebox}[b]% + \footnotesize\@noticestring% + \end@float% +} + +% abstract styling +\renewenvironment{abstract} +{ + \centerline + {\large \bfseries \scshape Abstract} + \begin{quote} +} +{ + \end{quote} +} + +\endinput diff --git a/latex/braket.sty b/latex/braket.sty new file mode 100644 index 0000000..b3f3388 --- /dev/null +++ b/latex/braket.sty @@ -0,0 +1,93 @@ +% braket.sty Macros for Dirac bra-ket <|> notation and sets {|} +% Donald Arseneau asnd@triumf.ca Last modified 12-Sept-2006. +% This is free, unencumbered, unsupported software. +% +% Commands defined are: +% \bra{ } \ket{ } \braket{ } \set{ } (small versions) +% \Bra{ } \Ket{ } \Braket{ } \Set{ } (expanding versions) +% +% The "small versions" use fixed-size brackets independent of their +% contents, whereas the "expanding versions" make the brackets and +% vertical lines expand to envelop their contents (internally using +% the \left and \right commands). You should use the vertical bar +% character "|" to input any extra vertical lines. In \Braket these +% vertical lines will expand to match the arguments, and in \Set the +% first vertical will expand. E.g., +% +% \Braket{ \phi | \frac{\partial^2}{\partial t^2} | \psi } +% \Set{ x\in\mathbf{R}^2 | 0<{|x|}<5 } +% +% Likewise, you may make an expandable double-bar using either +% the "\|" command or its local alias "||". +% +% NOT defined is "\ketbra" (for projection operators) because I prefer +% \ket{ } \bra{ }. +% +% Because each definition is so small, it makes no sense to have a +% complicated generic version for many bracket styles. Instead, +% you can just copy the definitions and change \langle or \rangle, +% to what you like. +% +\def\bra#1{\mathinner{\langle{#1}|}} +\def\ket#1{\mathinner{|{#1}\rangle}} +\def\braket#1{\mathinner{\langle{#1}\rangle}} +\def\Bra#1{\left\langle#1\right|} +\def\Ket#1{\left|#1\right\rangle} +% +\let\protect\relax +% +{\catcode`\|=\active + \xdef\Braket{\protect\expandafter\noexpand\csname Braket \endcsname} + \expandafter\gdef\csname Braket \endcsname#1{\begingroup + \ifx\SavedDoubleVert\relax + \let\SavedDoubleVert\|\let\|\BraDoubleVert + \fi + \mathcode`\|32768\let|\BraVert + \left\langle{#1}\right\rangle\endgroup} +} +\def\BraVert{\@ifnextchar|{\|\@gobble}% turn || into \| + {\egroup\,\mid@vertical\,\bgroup}} +\def\BraDoubleVert{\egroup\,\mid@dblvertical\,\bgroup} +\let\SavedDoubleVert\relax + +% The \mid@vertical is \vrule with ordinary TeX but \middle| in eTeX. +% We always avoid a \mathchoice in making the inner vertical lines. +% Note that \right\rangle is used now due to a failing in fourier.sty. +% +% \def\ketbra#1#2{\ket{#1}\bra{#2}} +% \def\Ketbra#1#2{\left|{#1}\vphantom{#2}\right\rangle\left\langle{#2}\vphantom{#1}\right|} + +% \Set{...|...} Only the first | is treated specially. +{\catcode`\|=\active + \xdef\set{\protect\expandafter\noexpand\csname set \endcsname} + \expandafter\gdef\csname set \endcsname#1{\mathinner + {\lbrace\,{\mathcode`\|32768\let|\midvert #1}\,\rbrace}} + \xdef\Set{\protect\expandafter\noexpand\csname Set \endcsname} + \expandafter\gdef\csname Set \endcsname#1{\left\{% + \ifx\SavedDoubleVert\relax \let\SavedDoubleVert\|\fi + \:{\let\|\SetDoubleVert + \mathcode`\|32768\let|\SetVert + #1}\:\right\}} +} +\def\midvert{\egroup\mid\bgroup} +\def\SetVert{\@ifnextchar|{\|\@gobble}% turn || into \| + {\egroup\;\mid@vertical\;\bgroup}} +\def\SetDoubleVert{\egroup\;\mid@dblvertical\;\bgroup} + +% If the user is using e-TeX with its \middle primitive, use that for +% verticals instead of \vrule. +% +\begingroup + \edef\@tempa{\meaning\middle} + \edef\@tempb{\string\middle} +\expandafter \endgroup \ifx\@tempa\@tempb + \def\mid@vertical{\middle|} + \def\mid@dblvertical{\middle\SavedDoubleVert} +\else + \def\mid@vertical{\mskip1mu\vrule\mskip1mu} + \def\mid@dblvertical{\mskip1mu\vrule\mskip2.5mu\vrule\mskip1mu} +\fi + +% May 2005: Double verticals; tweak spacing. +% June 2005: Make robust +% Sept 2006: fourier diff --git a/latex/cleveref.sty b/latex/cleveref.sty new file mode 100644 index 0000000..0522c48 --- /dev/null +++ b/latex/cleveref.sty @@ -0,0 +1,8427 @@ +%% +%% This is file `cleveref.sty', +%% generated with the docstrip utility. +%% +%% The original source files were: +%% +%% cleveref.dtx (with options: `package') +%% +%% LaTeX package for intelligent cross-referencing. +%% +%% Copyright (C) 2006--2013 Toby Cubitt +%% See the files README and COPYING. +%% +\def\packagedate{2013/12/28} +\def\packageversion{0.19} +%% This file may be distributed and/or modified under the +%% conditions of the LaTeX Project Public License, either version 1.2 +%% of this license or (at your option) any later version. +%% The latest version of this license is in: +%% +%% http://www.latex-project.org/lppl.txt +%% +%% and version 1.2 or later is part of all distributions of LaTeX +%% version 1999/12/01 or later. +\NeedsTeXFormat{LaTeX2e}[1999/12/01] +\ProvidesPackage{cleveref} + [\packagedate\space v\packageversion\space Intelligent cross-referencing] +%% \CharacterTable +%% {Upper-case \A\B\C\D\E\F\G\H\I\J\K\L\M\N\O\P\Q\R\S\T\U\V\W\X\Y\Z +%% Lower-case \a\b\c\d\e\f\g\h\i\j\k\l\m\n\o\p\q\r\s\t\u\v\w\x\y\z +%% Digits \0\1\2\3\4\5\6\7\8\9 +%% Exclamation \! Double quote \" Hash (number) \# +%% Dollar \$ Percent \% Ampersand \& +%% Acute accent \' Left paren \( Right paren \) +%% Asterisk \* Plus \+ Comma \, +%% Minus \- Point \. Solidus \/ +%% Colon \: Semicolon \; Less than \< +%% Equals \= Greater than \> Question mark \? +%% Commercial at \@ Left bracket \[ Backslash \\ +%% Right bracket \] Circumflex \^ Underscore \_ +%% Grave accent \` Left brace \{ Vertical bar \| +%% Right brace \} Tilde \~} +\def\cref@currentlabel{}% +\let\cref@old@refstepcounter\refstepcounter% +\def\refstepcounter{% + \@ifnextchar[{\refstepcounter@optarg}{\refstepcounter@noarg}%] +}% +\def\refstepcounter@noarg#1{% + \cref@old@refstepcounter{#1}% + \cref@constructprefix{#1}{\cref@result}% + \@ifundefined{cref@#1@alias}% + {\def\@tempa{#1}}% + {\def\@tempa{\csname cref@#1@alias\endcsname}}% + \protected@edef\cref@currentlabel{% + [\@tempa][\arabic{#1}][\cref@result]% + \csname p@#1\endcsname\csname the#1\endcsname}}% +\def\refstepcounter@optarg[#1]#2{% + \cref@old@refstepcounter{#2}% + \cref@constructprefix{#2}{\cref@result}% + \@ifundefined{cref@#1@alias}% + {\def\@tempa{#1}}% + {\def\@tempa{\csname cref@#1@alias\endcsname}}% + \protected@edef\cref@currentlabel{% + [\@tempa][\arabic{#2}][\cref@result]% + \csname p@#2\endcsname\csname the#2\endcsname}}% +\AtBeginDocument{% + \let\cref@old@label\label% + \def\label{\@ifnextchar[\label@optarg\label@noarg}%] + \let\cref@label\label% + \def\label@noarg#1{% + \@bsphack% + \cref@old@label{#1}% + \protected@write\@auxout{}% + {\string\newlabel{#1@cref}{{\cref@currentlabel}{\thepage}}}% + \@esphack}% + \def\label@optarg[#1]#2{% + \@bsphack% + \cref@old@label{#2}% + \protected@edef\cref@currentlabel{% + \expandafter\cref@override@label@type% + \cref@currentlabel\@nil{#1}}% + \protected@write\@auxout{}% + {\string\newlabel{#2@cref}{{\cref@currentlabel}{\thepage}}}% + \@esphack}% +}% end of AtBeginDocument +\let\cref@old@makefntext\@makefntext% +\long\def\@makefntext{% + \cref@constructprefix{footnote}{\cref@result}% + \protected@edef\cref@currentlabel{% + [footnote][\arabic{footnote}][\cref@result]% + \p@footnote\@thefnmark}% + \cref@old@makefntext}% +\let\cref@old@othm\@othm% +\def\@othm#1[#2]#3{% + \edef\@tempa{\expandafter\noexpand% + \csname cref@#1@name@preamble\endcsname}% + \edef\@tempb{\expandafter\noexpand% + \csname Cref@#1@name@preamble\endcsname}% + \def\@tempc{#3}% + \ifx\@tempc\@empty\relax% + \expandafter\gdef\@tempa{}% + \expandafter\gdef\@tempb{}% + \else% + \if@cref@capitalise% + \expandafter\expandafter\expandafter\gdef\expandafter% + \@tempa\expandafter{\MakeUppercase #3}% + \else% + \expandafter\expandafter\expandafter\gdef\expandafter% + \@tempa\expandafter{\MakeLowercase #3}% + \fi% + \expandafter\expandafter\expandafter\gdef\expandafter% + \@tempb\expandafter{\MakeUppercase #3}% + \fi% + \cref@stack@add{#1}{\cref@label@types}% + \cref@old@othm{#1}[#2]{#3}}% +\let\cref@old@xnthm\@xnthm% +\def\@xnthm#1#2[#3]{% + \edef\@tempa{\expandafter\noexpand% + \csname cref@#1@name@preamble\endcsname}% + \edef\@tempb{\expandafter\noexpand% + \csname Cref@#1@name@preamble\endcsname}% + \def\@tempc{#2}% + \ifx\@tempc\@empty\relax% + \expandafter\gdef\@tempa{}% + \expandafter\gdef\@tempb{}% + \else% + \if@cref@capitalise% + \expandafter\expandafter\expandafter\gdef\expandafter% + \@tempa\expandafter{\MakeUppercase #2}% + \else% + \expandafter\expandafter\expandafter\gdef\expandafter% + \@tempa\expandafter{\MakeLowercase #2}% + \fi% + \expandafter\expandafter\expandafter\gdef\expandafter% + \@tempb\expandafter{\MakeUppercase #2}% + \fi% + \cref@stack@add{#1}{\cref@label@types}% + \cref@old@xnthm{#1}{#2}[#3]}% +\let\cref@old@ynthm\@ynthm% +\def\@ynthm#1#2{% + \edef\@tempa{\expandafter\noexpand% + \csname cref@#1@name@preamble\endcsname}% + \edef\@tempb{\expandafter\noexpand% + \csname Cref@#1@name@preamble\endcsname}% + \def\@tempc{#2}% + \ifx\@tempc\@empty\relax% + \expandafter\gdef\@tempa{}% + \expandafter\gdef\@tempb{}% + \else% + \if@cref@capitalise% + \expandafter\expandafter\expandafter\gdef\expandafter% + \@tempa\expandafter{\MakeUppercase #2}% + \else% + \expandafter\expandafter\expandafter\gdef\expandafter% + \@tempa\expandafter{\MakeLowercase #2}% + \fi% + \expandafter\expandafter\expandafter\gdef\expandafter% + \@tempb\expandafter{\MakeUppercase #2}% + \fi% + \cref@stack@add{#1}{\cref@label@types}% + \cref@old@ynthm{#1}{#2}}% +\@ifundefined{appendix}{}{% + \g@addto@macro\appendix{% + \@ifundefined{chapter}{% + \gdef\refstepcounter@noarg#1{% + \cref@old@refstepcounter{#1}% + \cref@constructprefix{#1}{\cref@result}% + \ifx\cref@result\@empty% + \def\cref@result{2147483647}% + \else% + \edef\cref@result{2147483647,\cref@result}% + \fi% + \def\@tempa{#1}% + \def\@tempb{section}% + \ifx\@tempa\@tempb% + \protected@edef\cref@currentlabel{% + [appendix][\arabic{#1}][\cref@result]% + \csname p@#1\endcsname\csname the#1\endcsname}% + \else% + \def\@tempa{#1}% + \def\@tempb{subsection}% + \ifx\@tempa\@tempb% + \protected@edef\cref@currentlabel{% + [subappendix][\arabic{#1}][\cref@result]% + \csname p@#1\endcsname\csname the#1\endcsname}% + \else% + \def\@tempa{#1}% + \def\@tempb{subsubsection}% + \ifx\@tempa\@tempb% + \protected@edef\cref@currentlabel{% + [subsubappendix][\arabic{#1}][\cref@result]% + \csname p@#1\endcsname\csname the#1\endcsname}% + \else% + \@ifundefined{cref@#1@alias}% + {\def\@tempa{#1}}% + {\def\@tempa{\csname cref@#1@alias\endcsname}}% + \protected@edef\cref@currentlabel{% + [\@tempa][\arabic{#1}][\cref@result]% + \csname p@#1\endcsname\csname the#1\endcsname}% + \fi% + \fi% + \fi}% + }{% + \def\refstepcounter@noarg#1{% + \cref@old@refstepcounter{#1}% + \cref@constructprefix{#1}{\cref@result}% + \ifx\cref@result\@empty% + \def\cref@result{2147483647}% + \else% + \edef\cref@result{2147483647,\cref@result}% + \fi% + \def\@tempa{#1}% + \def\@tempb{chapter}% + \ifx\@tempa\@tempb% + \protected@edef\cref@currentlabel{% + [appendix][\arabic{#1}][\cref@result]% + \csname p@#1\endcsname\csname the#1\endcsname}% + \else% + \def\@tempa{#1}% + \def\@tempb{section}% + \ifx\@tempa\@tempb% + \protected@edef\cref@currentlabel{% + [subappendix][\arabic{#1}][\cref@result]% + \csname p@#1\endcsname\csname the#1\endcsname}% + \else% + \def\@tempa{#1}% + \def\@tempb{subsection}% + \ifx\@tempa\@tempb% + \protected@edef\cref@currentlabel{% + [subsubappendix][\arabic{#1}][\cref@result]% + \csname p@#1\endcsname\csname the#1\endcsname}% + \else% + \def\@tempa{#1}% + \def\@tempb{subsubsection}% + \ifx\@tempa\@tempb% + \protected@edef\cref@currentlabel{% + [subsubsubappendix][\arabic{#1}][\cref@result]% + \csname p@#1\endcsname\csname the#1\endcsname}% + \else% + \@ifundefined{cref@#1@alias}% + {\def\@tempa{#1}}% + {\def\@tempa{\csname cref@#1@alias\endcsname}}% + \protected@edef\cref@currentlabel{% + [\@tempa][\arabic{#1}][\cref@result]% + \csname p@#1\endcsname\csname the#1\endcsname}% + \fi% + \fi% + \fi% + \fi}% + }% + }% +}% end of \@ifundefined{appendix} +\def\@gobble@optarg{\@ifnextchar[\@@gobble@optarg\@gobble@orig}%] +\def\@gobble@orig#1{}% +\def\@@gobble@optarg[#1]#2{}% +\def\cref@append@toks#1#2{\toks0={#2}% + \edef\act{\noexpand#1={\the#1\the\toks0}}% + \act}% +\def\cref@getref#1#2{% + \expandafter\let\expandafter#2\csname r@#1@cref\endcsname% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter#2% + \expandafter\expandafter\expandafter{% + \expandafter\@firstoftwo#2}}% +\def\cref@getpageref#1#2{% + \expandafter\let\expandafter#2\csname r@#1@cref\endcsname% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter#2% + \expandafter\expandafter\expandafter{% + \expandafter\@secondoftwo#2}}% +\def\cref@getlabel#1#2{% + \cref@getref{#1}{\@tempa}% + \expandafter\@cref@getlabel\@tempa\@nil#2}% +\def\@cref@getlabel{\@ifnextchar[%] + \@@cref@getlabel{\@@cref@getlabel[][][]}}% +\def\@@cref@getlabel[#1][#2][#3]#4\@nil#5{\def#5{#4}}% +\def\cref@gettype#1#2{% + \cref@getref{#1}{\@tempa}% + \expandafter\@cref@gettype\@tempa\@nil#2}% +\def\@cref@gettype{\@ifnextchar[%] + \@@cref@gettype{\@@cref@gettype[][][]}}% +\def\@@cref@gettype[#1][#2][#3]#4\@nil#5{\def#5{#1}}% +\def\cref@getcounter#1#2{% + \cref@getref{#1}{\@tempa}% + \expandafter\@cref@getcounter\@tempa\@nil#2}% +\def\@cref@getcounter{\@ifnextchar[%] + \@@cref@getcounter{\@@cref@getcounter[][][]}}% +\def\@@cref@getcounter[#1][#2][#3]#4\@nil#5{\def#5{#2}}% +\def\cref@getprefix#1#2{% + \cref@getref{#1}{\@tempa}% + \expandafter\@cref@getprefix\@tempa\@nil#2}% +\def\@cref@getprefix{\@ifnextchar[%] + \@@cref@getprefix{\@@cref@getprefix[][][]}}% +\def\@@cref@getprefix[#1][#2][#3]#4\@nil#5{\def#5{#3}}% +\def\cref@override@label@type[#1][#2][#3]#4\@nil#5{[#5][#2][#3]#4}% +\def\cref@constructprefix#1#2{% + \cref@stack@init{\@tempstack}% + \edef\@tempa{\noexpand{#1\noexpand}}% + \expandafter\def\expandafter\@tempa\expandafter{\@tempa{#2}}% + \expandafter\@cref@constructprefix\@tempa% + \cref@stack@to@list{\@tempstack}{\@tempa}% + \expandafter\def\expandafter#2\expandafter{\@tempa}}% +\def\@cref@constructprefix#1#2{% + \cref@resetby{#1}{#2}% + \ifx#2\relax% + \else% + \edef\@tempa{\the\csname c@#2\endcsname}% + \expandafter\cref@stack@push\expandafter{\@tempa}{\@tempstack}% + \edef\@tempa{{#2}}% + \expandafter\expandafter\expandafter\@cref@constructprefix% + \expandafter\@tempa\expandafter{\expandafter#2\expandafter}% + \fi}% +\def\cref@stack@init#1{\def#1{\@nil}}% +\def\cref@stack@top#1{\expandafter\@cref@stack@top#1}% +\def\@cref@stack@top#1,#2\@nil{#1}% +\def\cref@stack@pop#1{\expandafter\@cref@stack@pop#1#1}% +\def\@cref@stack@pop#1,#2\@nil#3{\def#3{#2\@nil}}% +\def\cref@stack@push#1#2{% + \expandafter\@cref@stack@push\expandafter{#2}{#1}{#2}}% +\def\@cref@stack@push#1#2#3{\def#3{#2,#1}}% +\def\cref@stack@pull#1#2{\expandafter\@cref@stack@pull#2{#1}{#2}}% +\def\@cref@stack@pull#1\@nil#2#3{\def#3{#1#2,\@nil}}% +\def\cref@stack@to@list#1#2{% + \cref@isstackfull{#1}% + \if@cref@stackfull% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter#2% + \expandafter\expandafter\expandafter{% + \expandafter\@cref@stack@to@list#1}% + \else% + \def#2{}% + \fi}% +\def\@cref@stack@to@list#1,\@nil{#1}% +\def\cref@stack@topandbottom#1#2#3{% + \def#2{}% + \def#3{}% + \cref@isstackfull{#1}% + \if@cref@stackfull% + \edef#2{\cref@stack@top{#1}}% + \cref@stack@pop{#1}% + \cref@isstackfull{#1}% + \@whilesw\if@cref@stackfull\fi{% + \edef#3{\cref@stack@top{#1}}% + \cref@stack@pop{#1}% + \cref@isstackfull{#1}}% + \fi}% +\def\cref@stack@add#1#2{% + \begingroup% + \def\@arg1{#1}% + \let\@tempstack#2% + \newif\if@notthere% + \@nottheretrue% + \cref@isstackfull{\@tempstack}% + \@whilesw\if@cref@stackfull\fi{% + \edef\@tempb{\cref@stack@top{\@tempstack}}% + \def\@tempa{#1}% + \ifx\@tempa\@tempb% + \@cref@stackfullfalse% + \@nottherefalse% + \else% + \cref@stack@pop{\@tempstack}% + \cref@isstackfull{\@tempstack}% + \fi}% + \expandafter\endgroup% + \if@notthere\cref@stack@push{#1}{#2}\fi}% +\newif\if@cref@stackempty% +\newif\if@cref@stackfull% +\def\cref@isstackempty#1{% + \def\@tempa{\@nil}% + \ifx#1\@tempa\@cref@stackemptytrue% + \else\@cref@stackemptyfalse\fi}% +\def\cref@isstackfull#1{% + \def\@tempa{\@nil}% + \ifx#1\@tempa\@cref@stackfullfalse% + \else\@cref@stackfulltrue\fi}% +\def\cref@stack@sort#1#2{% + \begingroup% + \cref@stack@init{\@sortstack}% + \edef\@element{\cref@stack@top{#1}}% + \expandafter\cref@stack@push\expandafter{\@element}{\@sortstack}% + \cref@stack@pop{#1}% + \cref@isstackfull{#1}% + \if@cref@stackfull% + \edef\@tempa{\cref@stack@top{#1}}% + \@whilesw\ifx\@tempa\@empty\fi{% + \cref@stack@pull{}{\@sortstack}% + \cref@stack@pop{#1}% + \cref@isstackempty{#1}% + \if@cref@stackempty% + \let\@tempa\relax% + \else% + \edef\@tempa{\cref@stack@top{#1}}% + \fi}% + \fi% + \cref@isstackfull{#1}% + \@whilesw\if@cref@stackfull\fi{% + \edef\@element{\cref@stack@top{#1}}% + \cref@stack@pop{#1}% + \def\@empties{}% + \cref@isstackfull{#1}% + \if@cref@stackfull% + \edef\@tempa{\cref@stack@top{#1}}% + \@whilesw\ifx\@tempa\@empty\fi{% + \edef\@empties{\@empties,}% + \cref@stack@pop{#1}% + \cref@isstackempty{#1}% + \if@cref@stackempty% + \let\@tempa\relax% + \else% + \edef\@tempa{\cref@stack@top{#1}}% + \fi}% + \fi% + \edef\@tempa{{\expandafter\noexpand\@element}% + {\expandafter\noexpand\@empties}% + {\noexpand\@sortstack}{\noexpand#2}}% + \expandafter\cref@stack@insert\@tempa% + \cref@isstackfull{#1}}% + \expandafter\endgroup\expandafter% + \def\expandafter#1\expandafter{\@sortstack}}% +\def\cref@stack@insert#1#2#3#4{% + \let\@cmp#4% + \@cref@stack@insert{}{#1}{#2}{#3}% + \cref@stack@pop{#3}}% +\def\@cref@stack@insert#1#2#3#4{% + \let\cref@iterate\relax% + \cref@isstackempty{#4}% + \if@cref@stackempty% + \cref@stack@push{#1,#2#3}{#4}% + \else% + \edef\cref@elem{\cref@stack@top{#4}}% + \expandafter\@cmp\expandafter{\cref@elem}{#2}{\cref@result}% + \ifnum\cref@result=2\relax% + \cref@stack@push{#1,#2#3}{#4}% + \else% + \cref@stack@pop{#4}% + \edef\cref@elem{{\noexpand#1,\cref@elem}{\noexpand#2}% + {\noexpand#3}{\noexpand#4}}% + \expandafter\def\expandafter\cref@iterate\expandafter% + {\expandafter\@cref@stack@insert\cref@elem}% + \fi% + \fi% + \cref@iterate}% +\def\cref@counter@first#1#2\@nil{#1}% +\def\cref@counter@rest#1#2\@nil{#2}% +\def\cref@countercmp#1#2#3{% + \begingroup% + \def\@tempa{#1}% + \ifx\@tempa\@empty% + \def\cref@result{1}% + \else% + \def\@tempa{#2}% + \ifx\@tempa\@empty% + \def\cref@result{2}% + \else% + \expandafter\ifx\csname r@#1@cref\endcsname\relax% + \def\cref@result{2}% + \else% + \expandafter\ifx\csname r@#2@cref\endcsname\relax% + \def\cref@result{1}% + \else% + \cref@getcounter{#1}{\@countera}% + \cref@getprefix{#1}{\@prefixa}% + \cref@getcounter{#2}{\@counterb}% + \cref@getprefix{#2}{\@prefixb}% + \cref@stack@init{\@countstacka}% + \expandafter\cref@stack@push\expandafter% + {\@countera}{\@countstacka}% + \ifx\@prefixa\@empty\else% + \expandafter\cref@stack@push\expandafter% + {\@prefixa}{\@countstacka}% + \fi% + \cref@stack@init{\@countstackb}% + \expandafter\cref@stack@push\expandafter% + {\@counterb}{\@countstackb}% + \ifx\@prefixb\@empty\else% + \expandafter\cref@stack@push\expandafter% + {\@prefixb}{\@countstackb}% + \fi% + \@cref@countercmp% + \fi% + \fi% + \fi% + \fi% + \expandafter\endgroup\expandafter% + \chardef\expandafter#3\expandafter=\cref@result\relax}% +\def\@cref@countercmp{% + \let\@iterate\relax% + \cref@isstackempty{\@countstacka}% + \if@cref@stackempty% + \cref@isstackempty{\@countstackb}% + \if@cref@stackempty% + \def\cref@result{0}% + \else% + \def\cref@result{1}% + \fi% + \else% + \cref@isstackempty{\@countstackb}% + \if@cref@stackempty% + \def\cref@result{2}% + \else% + \edef\@tempa{\cref@stack@top{\@countstacka}}% + \cref@stack@pop{\@countstacka}% + \edef\@tempb{\cref@stack@top{\@countstackb}}% + \cref@stack@pop{\@countstackb}% + \ifnum\@tempa<\@tempb\relax% + \def\cref@result{1}% + \else% + \ifnum\@tempa>\@tempb\relax% + \def\cref@result{2}% + \else% + \def\@iterate{\@cref@countercmp}% + \fi% + \fi% + \fi% + \fi% + \@iterate}% +\def\cref@pagecmp#1#2#3{% + \begingroup% + \def\@tempa{#1}% + \ifx\@tempa\@empty% + \def\cref@result{1}% + \else% + \def\@tempa{#2}% + \ifx\@tempa\@empty% + \def\cref@result{2}% + \else% + \expandafter\ifx\csname r@#1@cref\endcsname\relax% + \def\cref@result{2}% + \else% + \expandafter\ifx\csname r@#2@cref\endcsname\relax% + \def\cref@result{1}% + \else% + \cref@getpageref{#1}{\@tempa}% + \cref@getpageref{#2}{\@tempb}% + \ifnum\@tempa<\@tempb\relax% + \def\cref@result{1}\relax% + \else% + \ifnum\@tempa>\@tempb\relax% + \def\cref@result{2}\relax% + \else% + \def\cref@result{0}\relax% + \fi% + \fi% + \fi% + \fi% + \fi% + \fi% + \expandafter\endgroup\expandafter% + \chardef\expandafter#3\expandafter=\cref@result\relax}% +\newif\if@cref@inresetlist% +\def\cref@isinresetlist#1#2{% + \begingroup% + \def\@counter{#1}% + \def\@elt##1{##1,}% + \expandafter\ifx\csname cl@#2\endcsname\relax% + \def\cref@resetstack{,\@nil}% + \else% + \edef\cref@resetstack{\csname cl@#2\endcsname\noexpand\@nil}% + \fi% + \let\@nextcounter\relax% + \cref@isstackfull{\cref@resetstack}% + \@whilesw\if@cref@stackfull\fi{% + \edef\@nextcounter{\cref@stack@top{\cref@resetstack}}% + \ifx\@nextcounter\@counter% + \@cref@stackfullfalse% + \else% + \let\@nextcounter\relax% + \cref@stack@pop{\cref@resetstack}% + \cref@isstackfull{\cref@resetstack}% + \fi}% + \ifx\@nextcounter\relax% + \def\@next{\@cref@inresetlistfalse}% + \else% + \def\@next{\@cref@inresetlisttrue}% + \fi% + \expandafter% + \endgroup% + \@next}% +\def\cref@resetby#1#2{% + \let#2\relax% + \def\@tempa{#1}% + \def\@tempb{subfigure}% + \ifx\@tempa\@tempb% + \cref@isinresetlist{#1}{figure}% + \if@cref@inresetlist% + \def#2{figure}% + \fi% + \fi% + \def\@tempa{#1}% + \def\@tempb{subtable}% + \ifx\@tempa\@tempb% + \cref@isinresetlist{#1}{table}% + \if@cref@inresetlist% + \def#2{table}% + \fi% + \fi% + \@ifundefined{cl@parentequation}{}{% + \def\@tempa{#1}% + \def\@tempb{equation}% + \ifx\@tempa\@tempb% + \cref@isinresetlist{#1}{parentequation}% + \if@cref@inresetlist% + \expandafter\ifnum\c@parentequation=0\else% + \def#2{parentequation}% + \fi% + \fi% + \fi}% + \def\@tempa{#1}% + \def\@tempb{enumii}% + \ifx\@tempa\@tempb% + \def#2{enum}% + \fi% + \def\@tempb{enumiii}% + \ifx\@tempa\@tempb% + \def#2{enum}% + \fi% + \def\@tempb{enumiv}% + \ifx\@tempa\@tempb% + \def#2{enum}% + \fi% + \def\@tempb{enumv}% + \ifx\@tempa\@tempb% + \def#2{enum}% + \fi% + \def\@tempb{enum}% + \ifx#2\@tempb% + \cref@isinresetlist{#1}{enumiv}% + \if@cref@inresetlist% + \def#2{enumiv}% + \else% + \cref@isinresetlist{#1}{enumiii}% + \if@cref@inresetlist% + \def#2{enumiii}% + \else% + \cref@isinresetlist{#1}{enumii}% + \if@cref@inresetlist% + \def#2{enumii}% + \else% + \cref@isinresetlist{#1}{enumi}% + \if@cref@inresetlist% + \def#2{enumi}% + \else% + \cref@isinresetlist{#1}{part}% + \if@cref@inresetlist% + \def#2{part}% + \else% + \let#2\relax% + \fi% + \fi% + \fi% + \fi% + \fi% + \fi% + \ifx#2\relax% + \cref@isinresetlist{#1}{table}% + \if@cref@inresetlist% + \def#2{table}% + \else% + \cref@isinresetlist{#1}{subsubsection}% + \if@cref@inresetlist% + \def#2{subsubsection}% + \else% + \cref@isinresetlist{#1}{subsection}% + \if@cref@inresetlist% + \def#2{subsection}% + \else% + \cref@isinresetlist{#1}{section}% + \if@cref@inresetlist% + \def#2{section}% + \else% + \cref@isinresetlist{#1}{chapter}% + \if@cref@inresetlist% + \def#2{chapter}% + \else% + \cref@isinresetlist{#1}{part}% + \if@cref@inresetlist% + \def#2{part}% + \else% + \let#2\relax% + \fi% + \fi% + \fi% + \fi% + \fi% + \fi% + \fi}% +\newif\if@cref@refconsecutive% +\def\cref@isrefconsecutive#1#2{% + \begingroup% + \countdef\refa@counter=0% + \countdef\refb@counter=1% + \cref@getcounter{#1}{\cref@result}% + \refa@counter=\cref@result% + \cref@getcounter{#2}{\cref@result}% + \refb@counter=\cref@result% + \cref@getprefix{#1}{\refa@prefix}% + \cref@getprefix{#2}{\refb@prefix}% + \def\@after{\@cref@refconsecutivefalse}% + \ifx\refa@prefix\refb@prefix% + \ifnum\refa@counter=\refb@counter\relax% + \def\@after{\@cref@refconsecutivetrue}% + \else% + \advance\refa@counter 1\relax% + \ifnum\refa@counter=\refb@counter\relax% + \def\@after{\@cref@refconsecutivetrue}% + \fi% + \fi% + \fi% + \expandafter\endgroup\@after}% +\def\cref@ispagerefconsecutive#1#2{% + \begingroup% + \countdef\refa@counter=0% + \countdef\refb@counter=1% + \cref@getpageref{#1}{\cref@result}% + \refa@counter=\cref@result% + \cref@getpageref{#2}{\cref@result}% + \refb@counter=\cref@result% + \def\@after{\@cref@refconsecutivefalse}% + \ifnum\refa@counter=\refb@counter\relax% + \def\@after{\@cref@refconsecutivetrue}% + \else% + \advance\refa@counter 1\relax% + \ifnum\refa@counter=\refb@counter\relax% + \def\@after{\@cref@refconsecutivetrue}% + \fi% + \fi% + \expandafter\endgroup\@after}% +\def\cref@processgroup#1#2{% + \edef\@nextref{\cref@stack@top{#1}}% + \expandafter\ifx\csname r@\@nextref @cref\endcsname\relax% + \def\@grouptype{\@undefined}% + \def\@groupformat{\@undefined}% + \else% + \expandafter\cref@gettype\expandafter{\@nextref}{\@grouptype}% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter\@groupformat% + \expandafter\expandafter\expandafter{% + \csname cref@\@grouptype @format\endcsname% + {\@dummya}{\@dummyb}{\@dummyc}}% + \fi% + \let\@nexttype\@grouptype% + \let\@nextformat\@groupformat% + \@whilesw\ifx\@nextformat\@groupformat\fi{% + \expandafter\cref@stack@pull\expandafter{\@nextref}{#2}% + \cref@stack@pop{#1}% + \cref@isstackempty{#1}% + \if@cref@stackempty% + \let\@nexttype\relax% + \let\@nextformat\relax% + \else% + \edef\@nextref{\cref@stack@top{#1}}% + \ifx\@nextref\@empty% + \let\@nexttype\@grouptype% + \let\@nextforamt\@groupformat% + \else% + \expandafter\ifx\csname r@\@nextref @cref\endcsname\relax% + \def\@nexttype{\@undefined}% + \def\@nextformat{\@undefined}% + \else% + \expandafter\cref@gettype\expandafter% + {\@nextref}{\@nexttype}% + \def\@tempa{\@undefined}% + \ifx\@nexttype\@tempa% + \def\@nextformat{\@undefined}% + \else% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter\@nextformat% + \expandafter\expandafter\expandafter{% + \csname cref@\@nexttype @format\endcsname% + {\@dummya}{\@dummyb}{\@dummyc}}% + \fi% + \fi% + \fi% + \fi}% +}% +\def\cref@processgroupall#1#2{% + \cref@stack@init{\@tempstack}% + \edef\@nextref{\cref@stack@top{#1}}% + \expandafter\ifx\csname r@\@nextref @cref\endcsname\relax% + \def\@grouptype{\@undefined}% + \def\@groupformat{\@undefined}% + \else% + \expandafter\cref@gettype\expandafter{\@nextref}{\@grouptype}% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter\@groupformat% + \expandafter\expandafter\expandafter{% + \csname cref@\@grouptype @format\endcsname% + {\@dummya}{\@dummyb}{\@dummyc}}% + \fi% + \let\@lasttype\@grouptype% + \let\@lastformat\@groupformat% + \cref@isstackfull{#1}% + \@whilesw\if@cref@stackfull\fi{% + \edef\@nextref{\cref@stack@top{#1}}% + \ifx\@nextref\@empty% + \ifx\@lastformat\@groupformat% + \let\@nexttype\@grouptype% + \let\@nextformat\@groupformat% + \else% + \let\@nexttype\relax% + \let\@nextformat\relax% + \fi% + \else% + \expandafter\ifx\csname r@\@nextref @cref\endcsname\relax% + \def\@nexttype{\@undefined}% + \def\@nextformat{\@undefined}% + \else% + \expandafter\cref@gettype\expandafter% + {\@nextref}{\@nexttype}% + \def\@tempa{\@undefined}% + \ifx\@nexttype\@tempa% + \def\@nextformat{\@undefined}% + \else% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter\@nextformat% + \expandafter\expandafter\expandafter{% + \csname cref@\@nexttype @format\endcsname% + {\@dummya}{\@dummyb}{\@dummyc}}% + \fi% + \fi% + \fi% + \ifx\@nextformat\@groupformat% + \expandafter\cref@stack@pull\expandafter{\@nextref}{#2}% + \else% + \expandafter\cref@stack@pull\expandafter{\@nextref}{\@tempstack}% + \fi% + \cref@stack@pop{#1}% + \let\@lasttype\@nexttype% + \let\@lastformat\@nextformat% + \cref@isstackfull{#1}}% + \let#1\@tempstack}% +\def\cref@processconsecutive#1#2#3#4#5{% + #4=0% + \edef\@nextref{\cref@stack@top{#1}}% + \cref@stack@pop{#1}% + \cref@isstackempty{#1}% + \if@cref@stackempty% + \edef#2{\@nextref}% + \let#3\relax% + #4=1\relax% + \else% + \edef#2{\@nextref}% + \let#3\relax% + \edef\@nextref{\cref@stack@top{#1}}% + #4=1\relax% + \expandafter\ifx\csname r@#2@cref\endcsname\relax% + \@cref@refconsecutivefalse% + \else% + \ifx\@nextref\@empty% + \@cref@refconsecutivefalse% + \@whilesw\ifx\@nextref\@empty\fi{% + \cref@stack@pop{#1}% + \cref@isstackempty{#1}% + \if@cref@stackempty% + \let\@nextref\relax% + \else% + \edef\@nextref{\cref@stack@top{#1}}% + \fi}% + \else% + \expandafter\ifx\csname r@\@nextref @cref\endcsname\relax% + \@cref@refconsecutivefalse% + \else% + \edef\@tempa{{#2}{\@nextref}}% + \expandafter#5\@tempa% + \fi% + \fi% + \fi% + \@whilesw\if@cref@refconsecutive\fi{% + \advance#4 1% + \let#3\@nextref% + \cref@stack@pop{#1}% + \cref@isstackempty{#1}% + \if@cref@stackempty% + \@cref@refconsecutivefalse% + \else% + \edef\@nextref{\cref@stack@top{#1}}% + \ifx\@nextref\@empty% + \@cref@refconsecutivefalse% + \@whilesw\ifx\@nextref\@empty\fi{% + \cref@stack@pop{#1}% + \cref@isstackempty{#1}% + \if@cref@stackempty% + \let\@nextref\relax% + \else% + \edef\@nextref{\cref@stack@top{#1}}% + \fi}% + \else% + \expandafter\ifx\csname r@\@nextref @cref\endcsname\relax% + \@cref@refconsecutivefalse% + \else% + \edef\@tempa{{#3}{\@nextref}}% + \expandafter#5\@tempa% + \fi% + \fi% + \fi}% + \fi}% +\newcommand\crefstripprefix[2]{% + \begingroup% + \edef\@toksa{#1}% + \edef\@toksb{#2}% + \let\cref@acc\@empty% + \@crefstripprefix% + \cref@result% + \endgroup} +\def\@crefstripprefix{% + \let\@iterate\relax% + \def\accum@flag{0}% + \let\@tempc\@tempb% + \cref@poptok{\@toksa}{\@tempa}% + \cref@poptok{\@toksb}{\@tempb}% + \ifx\@tempa\@tempb\relax% + \def\@iterate{\@crefstripprefix}% + \ifx\cref@acc\@empty\relax% + \let\cref@acc\@tempb% + \else% + \ifcat\@tempb\@tempc\relax% + \ifcat\@tempb a\relax% + \def\accum@flag{1}% + \else% + \expandafter\chardef\expandafter\@tempa% + \expandafter=\expandafter`\@tempb\relax% + \ifnum\@tempa>`/\relax% + \expandafter\ifnum\@tempb<`:\relax% + \def\accum@flag{1}% + \fi% + \fi% + \fi% + \fi% + \def\@tempa{1}% + \ifx\accum@flag\@tempa% + \edef\cref@acc{\cref@acc\@tempb}% + \else% + \let\cref@acc\@empty% + \fi% + \fi% + \else% + \ifcat\@tempb\@tempc\relax\else% + \let\cref@acc\@empty% + \fi% + \edef\cref@result{\cref@acc\@tempb\@toksb}% + \fi% + \@iterate} +\def\cref@poptok#1#2{% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter#2% + \expandafter\expandafter\expandafter{% + \expandafter\@cref@firsttok#1\@nil}% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter#1% + \expandafter\expandafter\expandafter{% + \expandafter\@cref@poptok#1\@nil}} +\def\@cref@firsttok#1#2\@nil{#1} +\def\@cref@poptok#1#2\@nil{#2} +\DeclareRobustCommand{\cref}[1]{\@cref{cref}{#1}}% +\DeclareRobustCommand{\Cref}[1]{\@cref{Cref}{#1}}% +\DeclareRobustCommand{\crefrange}[2]{\@setcrefrange{#1}{#2}{cref}{}}% +\DeclareRobustCommand{\Crefrange}[2]{\@setcrefrange{#1}{#2}{Cref}{}}% +\@ifpackageloaded{hyperref}{\newif\if@crefstarred}{% + \@ifpackageloaded{varioref}{\newif\if@crefstarred}{}}% +\let\if@crefstarred\iffalse% +\def\@cref#1#2{% + \leavevmode% + \begingroup% + \countdef\count@consecutive=0% + \countdef\count@group=1% + \count@group=1% + \def\cref@variant{#1}% + \newif\if@secondref% + \cref@stack@init{\@refstack}% + \edef\@tempa{#2}% + \expandafter\cref@stack@push\expandafter{\@tempa}{\@refstack}% + \cref@isstackfull{\@refstack}% + \@whilesw\if@cref@stackfull\fi{% + \cref@stack@init{\@refsubstack}% + \if@cref@sort% + \cref@processgroupall{\@refstack}{\@refsubstack}% + \cref@stack@sort{\@refsubstack}{\cref@countercmp}% + \else% + \cref@processgroup{\@refstack}{\@refsubstack}% + \fi% + \ifnum\count@group=1\relax% + \advance\count@group 1% + \else% + \cref@isstackfull{\@refstack}% + \if@cref@stackfull% + \@setcref@middlegroupconjunction% + \else% + \ifnum\count@group=2\relax% + \@setcref@pairgroupconjunction% + \else% + \@setcref@lastgroupconjunction% + \fi% + \fi% + \advance\count@group 1% + \def\cref@variant{cref}% + \fi% + \if@cref@compress% + \cref@processconsecutive% + {\@refsubstack}{\@beginref}{\@endref}{\count@consecutive}% + {\cref@isrefconsecutive}% + \else% + \edef\@beginref{\cref@stack@top{\@refsubstack}}% + \cref@stack@pop{\@refsubstack}% + \@whilesw\ifx\@beginref\@empty\fi{% + \cref@stack@pop{\@refsubstack}% + \cref@isstackempty{\@refsubstack}% + \if@cref@stackempty% + \let\@beginref\relax% + \else% + \edef\@beginref{\cref@stack@top{\@refsubstack}}% + \fi}% + \let\@endref\relax% + \count@consecutive=1\relax% + \fi% + \ifnum\count@consecutive=1\relax% + \cref@isstackfull{\@refsubstack}% + \if@cref@stackfull% + \expandafter\@setcref% + \expandafter{\@beginref}{\cref@variant}{@first}% + \else% + \expandafter\@setcref% + \expandafter{\@beginref}{\cref@variant}{}% + \fi% + \else% + \ifnum\count@consecutive=2\relax% + \expandafter\@setcref% + \expandafter{\@beginref}{\cref@variant}{@first}% + \expandafter\cref@stack@push\expandafter% + {\@endref,}{\@refsubstack}% + \else% + \edef\@tempa{{\@beginref}{\@endref}}% + \if@cref@stackempty% + \expandafter\@setcrefrange\@tempa{\cref@variant}{}% + \else% + \expandafter\@setcrefrange\@tempa{\cref@variant}{@first}% + \fi% + \fi% + \fi% + \@secondreftrue% + \cref@isstackfull{\@refsubstack}% + \@whilesw\if@cref@stackfull\fi{% + \if@cref@compress% + \cref@processconsecutive% + {\@refsubstack}{\@beginref}{\@endref}{\count@consecutive}% + {\cref@isrefconsecutive}% + \else% + \edef\@beginref{\cref@stack@top{\@refsubstack}}% + \cref@stack@pop{\@refsubstack}% + \@whilesw\ifx\@beginref\@empty\fi{% + \cref@stack@pop{\@refsubstack}% + \cref@isstackempty{\@refsubstack}% + \if@cref@stackempty% + \let\@beginref\relax% + \else% + \edef\@beginref{\cref@stack@top{\@refsubstack}}% + \fi}% + \let\@endref\relax% + \count@consecutive=1\relax% + \fi% + \cref@isstackempty{\@refsubstack}% + \if@cref@stackempty% + \if@secondref% + \def\@pos{@second}% + \else% + \def\@pos{@last}% + \fi% + \else% + \def\@pos{@middle}% + \fi% + \ifnum\count@consecutive=1\relax% + \edef\@tempa{{\@beginref}{cref}{\@pos}}% + \expandafter\@setcref\@tempa% + \else% + \ifnum\count@consecutive=2\relax% + \expandafter\@setcref\expandafter% + {\@beginref}{cref}{@middle}% + \expandafter\cref@stack@push\expandafter% + {\@endref}{\@refsubstack}% + \else% + \edef\@tempa{{\@beginref}{\@endref}{cref}{\@pos}}% + \expandafter\@setcrefrange\@tempa% + \fi% + \fi% + \@secondreffalse% + \cref@isstackfull{\@refsubstack}% + }% end loop over reference substack + \cref@isstackfull{\@refstack}% + \if@cref@stackfull% + \def\@tempa{#1}\def\@tempb{labelcref}% + \ifx\@tempa\@tempb\relax% + \protect\G@refundefinedtrue% + \nfss@text{\reset@font\bfseries\space ??}% + \@latex@warning{References in label reference on page \thepage + \space have different types}% + \@cref@stackfullfalse% + \fi% + \fi% + }% end loop over main reference stack + \endgroup}% +\def\@setcref#1#2#3{% + \expandafter\ifx\csname r@#1@cref\endcsname\relax% + \protect\G@refundefinedtrue% + \nfss@text{\reset@font\bfseries ??}% + \@latex@warning{Reference `#1' on page \thepage \space undefined}% + \else% + \cref@gettype{#1}{\@temptype}% puts label type in \@temptype + \cref@getlabel{#1}{\@templabel}% puts label in \@templabel + \expandafter\ifx\csname #2@\@temptype @format#3\endcsname\relax% + \edef\@tempa{#2}\def\@tempb{labelcref}% + \ifx\@tempa\@tempb\relax% + \expandafter\@@setcref\expandafter% + {\csname #2@default@format#3\endcsname}{#1}% + \else% + \protect\G@refundefinedtrue% + \nfss@text{\reset@font\bfseries ??}~\@templabel% + \@latex@warning{#2 \space reference format for label type + `\@temptype' undefined}% + \fi% + \else% + \expandafter\@@setcref\expandafter% + {\csname #2@\@temptype @format#3\endcsname}{#1}% + \fi% + \fi}% +\def\@@setcref#1#2{\cref@getlabel{#2}{\@templabel}#1{\@templabel}{}{}}% +\def\@setcrefrange#1#2#3#4{% + \begingroup% + \expandafter\ifx\csname r@#1@cref\endcsname\relax% + \protect\G@refundefinedtrue% + \@latex@warning{Reference `#1' on page \thepage \space% + undefined}% + \expandafter\ifx\csname r@#2@cref\endcsname\relax% + \nfss@text{\reset@font\bfseries ??}--% + \nfss@text{\reset@font\bfseries ??}% + \@latex@warning{Reference `#2' on page \thepage \space% + undefined}% + \else% + \cref@getlabel{#2}{\@labelb}% + \nfss@text{\reset@font\bfseries ??}--\@labelb% + \fi% + \else% + \expandafter\ifx\csname r@#2@cref\endcsname\relax% + \protect\G@refundefinedtrue% + \cref@getlabel{#1}{\@labela}% + \@labela--\nfss@text{\reset@font\bfseries ??}% + \@latex@warning{Reference `#2' on page \thepage % + \space undefined}% + \else% + \cref@gettype{#1}{\@typea}% + \cref@gettype{#2}{\@typeb}% + \cref@getlabel{#1}{\@labela}% + \cref@getlabel{#2}{\@labelb}% + \edef\@formata{\expandafter\noexpand% + \csname #3range@\@typea @format#4\endcsname}% + \edef\@formatb{\expandafter\noexpand% + \csname #3range@\@typeb @format#4\endcsname}% + \expandafter\ifx\@formata\relax% + \edef\@tempa{#3}\def\@tempb{labelcref}% + \ifx\@tempa\@tempb\relax% + \expandafter\@@setcrefrange\expandafter% + {\csname #3range@default@format#4\endcsname}{#1}{#2}% + \else% + \protect\G@refundefinedtrue% + \nfss@text{\reset@font\bfseries ??}~\@labela--\@labelb% + \@latex@warning{#3\space reference range format for label + type `\@typea' undefined}% + \fi% + \else% + \ifx\@formata\@formatb% + \expandafter\@@setcrefrange\expandafter{\@formata}{#1}{#2}% + \else% + \protect\G@refundefinedtrue% + \nfss@text{\reset@font\bfseries ??}~\@labela--\@labelb% + \@latex@warning{References `#1' and `#2' in reference range + on page \thepage \space have different types + `\@typea' and `\@typeb'}% + \fi% + \fi% + \fi% + \fi% + \endgroup}% +\def\@@setcrefrange#1#2#3{% + \cref@getlabel{#2}{\@labela}% + \cref@getlabel{#3}{\@labelb}% + #1{\@labela}{\@labelb}{}{}{}{}}% +\def\@setcref@pairgroupconjunction{\crefpairgroupconjunction}% +\def\@setcref@middlegroupconjunction{\crefmiddlegroupconjunction}% +\def\@setcref@lastgroupconjunction{\creflastgroupconjunction}% +\DeclareRobustCommand{\labelcref}[1]{\@cref{labelcref}{#1}}% +\DeclareRobustCommand{\namecref}[1]{% + \@setnamecref{cref}{#1}{}{}}% +\DeclareRobustCommand{\nameCref}[1]{% + \@setnamecref{Cref}{#1}{}{}}% +\DeclareRobustCommand{\lcnamecref}[1]{% + \@setnamecref{Cref}{#1}{}{\MakeLowercase}}% +\DeclareRobustCommand{\namecrefs}[1]{% + \@setnamecref{cref}{#1}{@plural}{}}% +\DeclareRobustCommand{\nameCrefs}[1]{% + \@setnamecref{Cref}{#1}{@plural}{}}% +\DeclareRobustCommand{\lcnamecrefs}[1]{% + \@setnamecref{Cref}{#1}{@plural}{\MakeLowercase}}% +\def\@setnamecref#1#2#3#4{% + \expandafter\ifx\csname r@#2@cref\endcsname\relax% + \protect\G@refundefinedtrue% + \nfss@text{\reset@font\bfseries ??}% + \@latex@warning{Reference `#1' on page \thepage \space undefined}% + \else% + \cref@gettype{#2}{\@tempa}% + \@ifundefined{#1@\@tempa @name#3}{% + \protect\G@refundefinedtrue% + \nfss@text{\reset@font\bfseries ??}% + \@latex@warning{Reference name forlabel type `\@tempa' undefined}% + }{% + \edef\@tempa{% + \expandafter\noexpand\csname #1@\@tempa @name#3\endcsname}% + \expandafter\@@setnamecref\expandafter{\@tempa}{#4}% + }% + \fi}% +\def\@@setnamecref#1#2{% + \expandafter\def\expandafter\@tempa\expandafter{#1}% + \expandafter#2\@tempa}% +\DeclareRobustCommand{\cpageref}[1]{% + \@cpageref{cref}{#1}{\@setcpageref}{\@setcpagerefrange}}% +\DeclareRobustCommand{\Cpageref}[1]{% + \@cpageref{Cref}{#1}{\@setcpageref}{\@setcpagerefrange}}% +\DeclareRobustCommand{\cpagerefrange}[2]{% + \@setcpagerefrange{#1}{#2}{cref}{}}% +\DeclareRobustCommand{\Cpagerefrange}[2]{% + \@setcpagerefrange{#1}{#2}{Cref}{}}% +\DeclareRobustCommand{\labelcpageref}[1]{% + \@cpageref{labelcref}{#1}{\@setcpageref}{\@setcpagerefrange}}% +\def\@cpageref#1#2#3#4{% + \leavevmode% + \begingroup% + \countdef\count@consecutive=0% + \countdef\count@group=1% + \countdef\@counta=2% + \countdef\@countb=3% + \count@group=0% + \cref@stack@init{\@refstack}% + \edef\@tempa{#2}% + \expandafter\cref@stack@push\expandafter{\@tempa}{\@refstack}% + \if@cref@sort% + \cref@stack@sort{\@refstack}{\cref@pagecmp}% + \fi% + \cref@isstackfull{\@refstack}% + \@whilesw\if@cref@stackfull\fi{% + \if@cref@compress% + \cref@processconsecutive% + {\@refstack}{\@beginref}{\@endref}{\count@consecutive}% + {\cref@ispagerefconsecutive}% + \else% + \edef\@beginref{\cref@stack@top{\@refstack}}% + \cref@stack@pop{\@refstack}% + \@whilesw\ifx\@beginref\@empty\fi{% + \cref@stack@pop{\@refstack}% + \cref@isstackempty{\@refstack}% + \if@cref@stackempty% + \let\@beginref\relax% + \else% + \edef\@beginref{\cref@stack@top{\@refstack}}% + \fi}% + \let\@endref\relax% + \count@consecutive=1\relax% + \fi% + \ifx\@endref\relax\else% + \expandafter\ifx\csname r@\@beginref @cref\endcsname\relax\else% + \expandafter\ifx\csname r@\@endref @cref\endcsname\relax\else% + \cref@getpageref{\@beginref}{\@tempa}% + \cref@getpageref{\@endref}{\@tempb}% + \ifx\@tempa\@tempb\relax% + \count@consecutive=1% + \let\@endref\relax% + \else% + \@counta=\@tempa\relax% + \@countb=\@tempb\relax% + \advance\@counta 1\relax% + \ifnum\@counta=\@countb\relax% + \count@consecutive=2% + \fi% + \fi% + \fi% + \fi% + \fi% + \cref@isstackempty{\@refstack}% + \if@cref@stackempty% + \ifcase\count@group\relax% + \ifnum\count@consecutive=2\relax% + \def\@pos{@first}% + \else% + \def\@pos{}% + \fi% + \or% + \ifnum\count@consecutive=2\relax% + \def\@pos{@middle}% + \else% + \def\@pos{@second}% + \fi% + \else% + \def\@pos{@last}% + \fi% + \else% + \ifnum\count@group=0\relax% + \def\@pos{@first}% + \else% + \def\@pos{@middle}% + \fi% + \fi% + \ifnum\count@consecutive=1\relax% + \def\@tempa{#3}% + \edef\@tempb{{\@beginref}{#1}{\@pos}}% + \expandafter\@tempa\@tempb% + \else% + \ifnum\count@consecutive=2\relax% + \def\@tempa{#3}% + \edef\@tempb{{\@beginref}{#1}{\@pos}}% + \expandafter\@tempa\@tempb% + \expandafter\cref@stack@push\expandafter% + {\@endref,}{\@refstack}% + \else% + \def\@tempa{#4}% + \edef\@tempb{{\@beginref}{\@endref}{#1}{\@pos}}% + \expandafter\@tempa\@tempb% + \fi% + \fi% + \advance\count@group 1% + \cref@isstackfull{\@refstack}% + }% end loop over reference stack + \endgroup}% +\def\@setcpageref#1#2#3{% + \expandafter\ifx\csname r@#1@cref\endcsname\relax% + \protect\G@refundefinedtrue% + \nfss@text{\reset@font\bfseries ??}% + \@latex@warning{Reference `#1' on page \thepage \space undefined}% + \else% + \cref@getpageref{#1}{\@temppage}% + \expandafter\ifx\csname #2@page@format#3\endcsname\relax% + \edef\@tempa{#2}\def\@tempb{labelcref}% + \ifx\@tempa\@tempb\relax% + \expandafter\@@setcpageref\expandafter% + {\csname #2@default@format#3\endcsname}{#1}% + \else% + \protect\G@refundefinedtrue% + \nfss@text{\reset@font\bfseries ??}~\@temppage% + \@latex@warning{#2 \space reference format for + page references undefined}% + \fi% + \else% + \expandafter\@@setcpageref\expandafter% + {\csname #2@page@format#3\endcsname}{#1}% + \fi% + \fi}% +\def\@@setcpageref#1#2{% + \cref@getpageref{#2}{\@temppage}#1{\@temppage}{}{}}% +\def\@setcpagerefrange#1#2#3#4{% + \begingroup% + \expandafter\ifx\csname r@#1@cref\endcsname\relax% + \protect\G@refundefinedtrue% + \@latex@warning{Reference `#1' on page \thepage \space% + undefined}% + \expandafter\ifx\csname r@#2@cref\endcsname\relax% + \nfss@text{\reset@font\bfseries ??}--% + \nfss@text{\reset@font\bfseries ??}% + \@latex@warning{Reference `#2' on page \thepage \space% + undefined}% + \else% + \cref@getpageref{#2}{\@pageb}% + \nfss@text{\reset@font\bfseries ??}--\@pageb% + \fi% + \else% + \expandafter\ifx\csname r@#2@cref\endcsname\relax% + \protect\G@refundefinedtrue% + \cref@getpageref{#1}{\@pagea}% + \@pagea--\nfss@text{\reset@font\bfseries ??}% + \@latex@warning{Reference `#2' on page \thepage % + \space undefined}% + \else% + \cref@getpageref{#1}{\@pagea}% + \cref@getpageref{#2}{\@pageb}% + \edef\@format{\expandafter\noexpand% + \csname #3range@page@format#4\endcsname}% + \expandafter\ifx\@format\relax% + \edef\@tempa{#3}\def\@tempb{labelcref}% + \ifx\@tempa\@tempb\relax% + \expandafter\@@setcpagerefrange\expandafter% + {\csname #3range@default@format#4\endcsname}{#1}{#2}% + \else% + \protect\G@refundefinedtrue% + \nfss@text{\reset@font\bfseries ??}~\@pagea--\@pageb% + \@latex@warning{#3\space reference range format for page + references undefined}% + \fi% + \else% + \expandafter\@@setcpagerefrange\expandafter{\@format}{#1}{#2}% + \fi% + \fi% + \fi% + \endgroup}% +\def\@@setcpagerefrange#1#2#3{% + \cref@getpageref{#2}{\@pagea}% + \cref@getpageref{#3}{\@pageb}% + #1{\@pagea}{\@pageb}{}{}{}{}}% +\cref@stack@init{\cref@label@types}% +\newcommand\crefdefaultlabelformat[1]{% + \def\cref@default@label##1##2##3{#1}}% +\newcommand\crefname[3]{% + \@crefname{cref}{#1}{#2}{#3}{}}% +\newcommand\Crefname[3]{% + \@crefname{Cref}{#1}{#2}{#3}{}}% +\newcommand\creflabelformat[2]{% + \expandafter\def\csname cref@#1@label\endcsname##1##2##3{#2}% + \cref@stack@add{#1}{\cref@label@types}}% +\newcommand\crefrangelabelformat[2]{% + \expandafter\def\csname cref@#1@rangelabel\endcsname% + ##1##2##3##4##5##6{#2}% + \cref@stack@add{#1}{\cref@label@types}}% +\newcommand\crefalias[2]{% + \expandafter\def\csname cref@#1@alias\endcsname{#2}}% +\newcommand\crefname@preamble[3]{% + \@crefname{cref}{#1}{#2}{#3}{@preamble}}% +\newcommand\Crefname@preamble[3]{% + \@crefname{Cref}{#1}{#2}{#3}{@preamble}}% +\def\cref@othervariant#1#2#3{\cref@@othervariant#1\@nil#2#3}% +\def\cref@@othervariant#1#2\@nil#3#4{% + \if#1c% + \def#3{C#2}% + \def#4{\MakeUppercase}% + \else% + \def#3{c#2}% + \if@cref@capitalise% + \def#4{}% + \else% + \def#4{\MakeLowercase}% + \fi% + \fi}% +\def\@crefname#1#2#3#4#5{% + \expandafter\def\csname #1@#2@name#5\endcsname{#3}% + \expandafter\def\csname #1@#2@name@plural#5\endcsname{#4}% + \cref@othervariant{#1}{\@tempc}{\@tempd}% + \@ifundefined{\@tempc @#2@name#5}{% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter\@tempa% + \expandafter\expandafter\expandafter{% + \csname#1@#2@name\endcsname}% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter\@tempb% + \expandafter\expandafter\expandafter{% + \csname#1@#2@name@plural\endcsname}% + \expandafter\ifx\@tempa\@empty\else% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter\@tempa% + \expandafter\expandafter\expandafter{% + \expandafter\@tempd\@tempa}% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter\@tempb% + \expandafter\expandafter\expandafter{% + \expandafter\@tempd\@tempb}% + \fi% + \toksdef\@toksa=0% + \@toksa={% + \expandafter\def\csname\@tempc @#2@name#5\endcsname}% + \expandafter\the\expandafter\@toksa\expandafter{\@tempa}% + \@toksa={% + \expandafter\def\csname\@tempc @#2@name@plural#5\endcsname}% + \expandafter\the\expandafter\@toksa\expandafter{\@tempb}% + }{}% + \cref@stack@add{#2}{\cref@label@types}}% +\def\@crefconstructcomponents#1{% + \@ifundefined{cref@#1@label}{% + \let\@templabel\cref@default@label% + }{% + \expandafter\let\expandafter\@templabel% + \csname cref@#1@label\endcsname% + }% + \@ifundefined{cref@#1@rangelabel}{% + \expandafter\def\expandafter\@tempa\expandafter{% + \@templabel{####1}{####3}{####4}}% + \expandafter\def\expandafter\@tempb\expandafter{% + \@templabel{####2}{####5}{####6}}% + \toksdef\@toksa=0% + \@toksa={\def\@temprangelabel##1##2##3##4##5##6}% + \expandafter\expandafter\expandafter\the% + \expandafter\expandafter\expandafter\@toksa% + \expandafter\expandafter\expandafter{% + \expandafter\expandafter\expandafter\crefrangepreconjunction% + \expandafter\@tempa\expandafter\crefrangeconjunction\@tempb% + \crefrangepostconjunction}% + }{% + \expandafter\let\expandafter\@temprangelabel% + \csname cref@#1@rangelabel\endcsname% + }% + \if@cref@nameinlink% + \expandafter\def\expandafter\@templabel@first\expandafter{% + \@templabel{########1}{}{########3}}% + \expandafter\def\expandafter\@temprangelabel@first\expandafter{% + \@temprangelabel{########1}{########2}% + {}{########4}{########5}{########6}}% + \fi% + \expandafter\def\expandafter\@templabel\expandafter{% + \@templabel{########1}{########2}{########3}}% + \expandafter\def\expandafter\@temprangelabel\expandafter{% + \@temprangelabel{########1}{########2}{########3}% + {########4}{########5}{########6}}% + \if@cref@nameinlink\else% + \let\@templabel@first\@templabel% + \let\@temprangelabel@first\@temprangelabel% + \fi% + \if@cref@nameinlink% + \def\@tempa##1##2{##2##1}% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter\@tempname% + \expandafter\expandafter\expandafter{% + \expandafter\@tempa\expandafter% + {\csname cref@#1@name\endcsname}{########2}}% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter\@tempName% + \expandafter\expandafter\expandafter{% + \expandafter\@tempa\expandafter% + {\csname Cref@#1@name\endcsname}{########2}}% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter\@tempnameplural% + \expandafter\expandafter\expandafter{% + \expandafter\@tempa\expandafter% + {\csname cref@#1@name@plural\endcsname}{########2}}% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter\@tempNameplural% + \expandafter\expandafter\expandafter{% + \expandafter\@tempa\expandafter% + {\csname Cref@#1@name@plural\endcsname}{########2}}% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter\@tempnameplural@range% + \expandafter\expandafter\expandafter{% + \expandafter\@tempa\expandafter% + {\csname cref@#1@name@plural\endcsname}{########3}}% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter\@tempNameplural@range% + \expandafter\expandafter\expandafter{% + \expandafter\@tempa\expandafter% + {\csname Cref@#1@name@plural\endcsname}{########3}}% + \else% + \expandafter\def\expandafter\@tempname\expandafter{% + \csname cref@#1@name\endcsname}% + \expandafter\def\expandafter\@tempName\expandafter{% + \csname Cref@#1@name\endcsname}% + \expandafter\def\expandafter\@tempnameplural\expandafter{% + \csname cref@#1@name@plural\endcsname}% + \expandafter\def\expandafter\@tempNameplural\expandafter{% + \csname Cref@#1@name@plural\endcsname}% + \let\@tempnameplural@range\@tempnameplural% + \let\@tempNameplural@range\@tempNameplural% + \fi% +}% +\def\@crefdefineformat#1{% + \begingroup% + \@crefconstructcomponents{#1}% + \expandafter\ifx\csname cref@#1@name\endcsname\@empty\relax% + \expandafter\def\expandafter\@tempfirst\expandafter{\@templabel}% + \else% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter\@tempfirst% + \expandafter\expandafter\expandafter{% + \expandafter\@tempname\expandafter\nobreakspace\@templabel@first}% + \fi% + \expandafter\ifx\csname Cref@#1@name\endcsname\@empty\relax% + \expandafter\def\expandafter\@tempFirst\expandafter{\@templabel}% + \else% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter\@tempFirst% + \expandafter\expandafter\expandafter{% + \expandafter\@tempName\expandafter\nobreakspace\@templabel@first}% + \fi% + \expandafter\def\expandafter\@templabel\expandafter{\@templabel}% + \toksdef\@toksa=0% + \@toksa={\crefformat{#1}}% + \expandafter\the\expandafter\@toksa\expandafter{\@tempfirst}% + \@toksa={\Crefformat{#1}}% + \expandafter\the\expandafter\@toksa\expandafter{\@tempFirst}% + \@ifundefined{cref@#1@label}{}{% + \@toksa={\labelcrefformat{#1}}% + \expandafter\the\expandafter\@toksa\expandafter{\@templabel}}% + \endgroup}% +\def\@crefrangedefineformat#1{% + \begingroup% + \@crefconstructcomponents{#1}% + \expandafter\ifx\csname cref@#1@name\endcsname\@empty\relax% + \expandafter\def\expandafter\@tempfirst% + \expandafter{\@temprangelabel}% + \else% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter\@tempfirst% + \expandafter\expandafter\expandafter{% + \expandafter\@tempnameplural@range% + \expandafter\nobreakspace\@temprangelabel@first}% + \fi% + \expandafter\ifx\csname Cref@#1@name\endcsname\@empty\relax% + \expandafter\def\expandafter\@tempFirst% + \expandafter{\@temprangelabel}% + \else% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter\@tempFirst% + \expandafter\expandafter\expandafter{% + \expandafter\@tempNameplural@range% + \expandafter\nobreakspace\@temprangelabel@first}% + \fi% + \expandafter\def\expandafter\@temprangelabel% + \expandafter{\@temprangelabel}% + \toksdef\@toksa=0% + \@toksa={\crefrangeformat{#1}}% + \expandafter\the\expandafter\@toksa\expandafter{\@tempfirst}% + \@toksa={\Crefrangeformat{#1}}% + \expandafter\the\expandafter\@toksa\expandafter{\@tempFirst}% + \@ifundefined{cref@#1@rangelabel}{% + \@ifundefined{cref@#1@label}{\let\@tempa\relax}{\def\@tempa{}}}% + {\def\@tempa{}}% + \ifx\@tempa\@empty\relax% + \@toksa={\labelcrefrangeformat{#1}}% + \expandafter\the\expandafter\@toksa\expandafter{% + \@temprangelabel}% + \fi% + \endgroup}% +\def\@crefdefinemultiformat#1{% + \begingroup% + \@crefconstructcomponents{#1}% + \expandafter\ifx\csname cref@#1@name@plural\endcsname\@empty\relax% + \expandafter\def\expandafter\@tempfirst% + \expandafter{\@templabel}% + \else% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter\@tempfirst% + \expandafter\expandafter\expandafter{% + \expandafter\@tempnameplural% + \expandafter\nobreakspace\@templabel@first}% + \fi% + \expandafter\ifx\csname Cref@#1@name@plural\endcsname\@empty\relax% + \expandafter\def\expandafter\@tempFirst% + \expandafter{\@templabel}% + \else% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter\@tempFirst% + \expandafter\expandafter\expandafter{% + \expandafter\@tempNameplural% + \expandafter\nobreakspace\@templabel@first}% + \fi% + \expandafter\def\expandafter\@tempsecond\expandafter{% + \expandafter\crefpairconjunction\@templabel}% + \expandafter\def\expandafter\@tempmiddle\expandafter{% + \expandafter\crefmiddleconjunction\@templabel}% + \expandafter\def\expandafter\@templast\expandafter{% + \expandafter\creflastconjunction\@templabel}% + \expandafter\def\expandafter\@templabel\expandafter{\@templabel}% + \toksdef\@toksa=0% + \toksdef\@toksb=1% + \@toksb={}% + \expandafter\cref@append@toks\expandafter\@toksb\expandafter{% + \expandafter{\@tempfirst}}% + \expandafter\cref@append@toks\expandafter\@toksb\expandafter{% + \expandafter{\@tempsecond}}% + \expandafter\cref@append@toks\expandafter\@toksb\expandafter{% + \expandafter{\@tempmiddle}}% + \expandafter\cref@append@toks\expandafter\@toksb\expandafter{% + \expandafter{\@templast}}% + \@toksa={\crefmultiformat{#1}}% + \expandafter\the\expandafter\@toksa\the\@toksb% + \@toksb={}% + \expandafter\cref@append@toks\expandafter\@toksb\expandafter{% + \expandafter{\@tempFirst}}% + \expandafter\cref@append@toks\expandafter\@toksb\expandafter{% + \expandafter{\@tempsecond}}% + \expandafter\cref@append@toks\expandafter\@toksb\expandafter{% + \expandafter{\@tempmiddle}}% + \expandafter\cref@append@toks\expandafter\@toksb\expandafter{% + \expandafter{\@templast}}% + \@toksa={\Crefmultiformat{#1}}% + \expandafter\the\expandafter\@toksa\the\@toksb% + \@ifundefined{cref@#1@label}{}{% + \@toksb={}% + \expandafter\cref@append@toks\expandafter\@toksb\expandafter{% + \expandafter{\@templabel}}% + \expandafter\cref@append@toks\expandafter\@toksb\expandafter{% + \expandafter{\@tempsecond}}% + \expandafter\cref@append@toks\expandafter\@toksb\expandafter{% + \expandafter{\@tempmiddle}}% + \expandafter\cref@append@toks\expandafter\@toksb\expandafter{% + \expandafter{\@templast}}% + \@toksa={\labelcrefmultiformat{#1}}% + \expandafter\the\expandafter\@toksa\the\@toksb}% + \endgroup}% +\def\@crefrangedefinemultiformat#1{% + \begingroup% + \@crefconstructcomponents{#1}% + \expandafter\ifx\csname cref@#1@name@plural\endcsname\@empty\relax% + \expandafter\def\expandafter\@tempfirst% + \expandafter{\@temprangelabel}% + \else% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter\@tempfirst% + \expandafter\expandafter\expandafter{% + \expandafter\@tempnameplural@range% + \expandafter\nobreakspace\@temprangelabel@first}% + \fi% + \expandafter\ifx\csname Cref@#1@name@plural\endcsname\@empty\relax% + \expandafter\def\expandafter\@tempFirst% + \expandafter{\@temprangelabel}% + \else% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter\@tempFirst% + \expandafter\expandafter\expandafter{% + \expandafter\@tempNameplural@range% + \expandafter\nobreakspace\@temprangelabel@first}% + \fi% + \expandafter\def\expandafter\@tempsecond\expandafter{% + \expandafter\crefpairconjunction\@temprangelabel}% + \expandafter\def\expandafter\@tempmiddle\expandafter{% + \expandafter\crefmiddleconjunction\@temprangelabel}% + \expandafter\def\expandafter\@templast\expandafter{% + \expandafter\creflastconjunction\@temprangelabel}% + \expandafter\def\expandafter\@temprangelabel% + \expandafter{\@temprangelabel}% + \toksdef\@toksa=0% + \toksdef\@toksb=1% + \@toksb={}% + \expandafter\cref@append@toks\expandafter\@toksb\expandafter{% + \expandafter{\@tempfirst}}% + \expandafter\cref@append@toks\expandafter\@toksb\expandafter{% + \expandafter{\@tempsecond}}% + \expandafter\cref@append@toks\expandafter\@toksb\expandafter{% + \expandafter{\@tempmiddle}}% + \expandafter\cref@append@toks\expandafter\@toksb\expandafter{% + \expandafter{\@templast}}% + \@toksa={\crefrangemultiformat{#1}}% + \expandafter\the\expandafter\@toksa\the\@toksb% + \@toksb={}% + \expandafter\cref@append@toks\expandafter\@toksb\expandafter{% + \expandafter{\@tempFirst}}% + \expandafter\cref@append@toks\expandafter\@toksb\expandafter{% + \expandafter{\@tempsecond}}% + \expandafter\cref@append@toks\expandafter\@toksb\expandafter{% + \expandafter{\@tempmiddle}}% + \expandafter\cref@append@toks\expandafter\@toksb\expandafter{% + \expandafter{\@templast}}% + \@toksa={\Crefrangemultiformat{#1}}% + \expandafter\the\expandafter\@toksa\the\@toksb% + \@ifundefined{cref@#1@rangelabel}{% + \@ifundefined{cref@#1@label}{\let\@tempa\relax}{\def\@tempa{}}}% + {\def\@tempa{}}% + \ifx\@tempa\@empty\relax% + \@toksb={}% + \expandafter\cref@append@toks\expandafter\@toksb\expandafter{% + \expandafter{\@temprangelabel}}% + \expandafter\cref@append@toks\expandafter\@toksb\expandafter{% + \expandafter{\@tempsecond}}% + \expandafter\cref@append@toks\expandafter\@toksb\expandafter{% + \expandafter{\@tempmiddle}}% + \expandafter\cref@append@toks\expandafter\@toksb\expandafter{% + \expandafter{\@templast}}% + \@toksa={\labelcrefrangemultiformat{#1}}% + \expandafter\the\expandafter\@toksa\the\@toksb% + \fi% + \endgroup}% +\def\@labelcrefdefinedefaultformats{% + \begingroup% + \toksdef\@toksa=0% + \toksdef\@toksb=1% + \let\@templabel\cref@default@label% + \expandafter\def\expandafter\@tempa\expandafter{% + \@templabel{####1}{####3}{####4}}% + \expandafter\def\expandafter\@tempb\expandafter{% + \@templabel{####2}{####5}{####6}}% + \@toksa={\def\@temprangelabel##1##2##3##4##5##6}% + \expandafter\expandafter\expandafter\the% + \expandafter\expandafter\expandafter\@toksa% + \expandafter\expandafter\expandafter{% + \expandafter\expandafter\expandafter\crefrangepreconjunction% + \expandafter\@tempa\expandafter\crefrangeconjunction\@tempb% + \crefrangepostconjunction}% + \expandafter\def\expandafter\@templabel\expandafter{% + \@templabel{########1}{########2}{########3}}% + \expandafter\def\expandafter\@temprangelabel\expandafter{% + \@temprangelabel{########1}{########2}{########3}% + {########4}{########5}{########6}}% + \expandafter\def\expandafter\@tempsecond\expandafter{% + \expandafter\crefpairconjunction\@templabel}% + \expandafter\def\expandafter\@tempmiddle\expandafter{% + \expandafter\crefmiddleconjunction\@templabel}% + \expandafter\def\expandafter\@templast\expandafter{% + \expandafter\creflastconjunction\@templabel}% + \expandafter\def\expandafter\@temprangesecond\expandafter{% + \expandafter\crefpairconjunction\@temprangelabel}% + \expandafter\def\expandafter\@temprangemiddle\expandafter{% + \expandafter\crefmiddleconjunction\@temprangelabel}% + \expandafter\def\expandafter\@temprangelast\expandafter{% + \expandafter\creflastconjunction\@temprangelabel}% + \expandafter\def\expandafter\@templabel\expandafter{\@templabel}% + \expandafter\def\expandafter\@temprangelabel% + \expandafter{\@temprangelabel}% + \@toksa={\labelcrefformat{default}}% + \expandafter\the\expandafter\@toksa\expandafter{\@templabel}% + \@toksa={\labelcrefrangeformat{default}}% + \expandafter\the\expandafter\@toksa\expandafter{\@temprangelabel}% + \@toksb={}% + \expandafter\cref@append@toks\expandafter\@toksb\expandafter{% + \expandafter{\@templabel}}% + \expandafter\cref@append@toks\expandafter\@toksb\expandafter{% + \expandafter{\@tempsecond}}% + \expandafter\cref@append@toks\expandafter\@toksb\expandafter{% + \expandafter{\@tempmiddle}}% + \expandafter\cref@append@toks\expandafter\@toksb\expandafter{% + \expandafter{\@templast}}% + \@toksa={\labelcrefmultiformat{default}}% + \expandafter\the\expandafter\@toksa\the\@toksb% + \@toksb={}% + \expandafter\cref@append@toks\expandafter\@toksb\expandafter{% + \expandafter{\@temprangelabel}}% + \expandafter\cref@append@toks\expandafter\@toksb\expandafter{% + \expandafter{\@temprangesecond}}% + \expandafter\cref@append@toks\expandafter\@toksb\expandafter{% + \expandafter{\@temprangemiddle}}% + \expandafter\cref@append@toks\expandafter\@toksb\expandafter{% + \expandafter{\@temprangelast}}% + \@toksa={\labelcrefrangemultiformat{default}}% + \expandafter\the\expandafter\@toksa\the\@toksb% + \endgroup}% +\def\@crefdefineallformats#1{% + \@crefdefineformat{#1}% + \@crefrangedefineformat{#1}% + \@crefdefinemultiformat{#1}% + \@crefrangedefinemultiformat{#1}}% +\newcommand\crefformat[2]{\@crefformat{cref}{#1}{#2}}% +\newcommand\Crefformat[2]{\@crefformat{Cref}{#1}{#2}}% +\newcommand\crefrangeformat[2]{\@crefrangeformat{crefrange}{#1}{#2}}% +\newcommand\Crefrangeformat[2]{\@crefrangeformat{Crefrange}{#1}{#2}}% +\newcommand\crefmultiformat[5]{% + \@crefmultiformat{cref}{#1}{#2}{#3}{#4}{#5}}% +\newcommand\Crefmultiformat[5]{% + \@crefmultiformat{Cref}{#1}{#2}{#3}{#4}{#5}}% +\newcommand\crefrangemultiformat[5]{% + \@crefrangemultiformat{crefrange}{#1}{#2}{#3}{#4}{#5}}% +\newcommand\Crefrangemultiformat[5]{% + \@crefrangemultiformat{Crefrange}{#1}{#2}{#3}{#4}{#5}}% +\newcommand\labelcrefformat[2]{% + \expandafter\gdef\csname labelcref@#1@format\endcsname##1##2##3{#2}}% +\newcommand\labelcrefrangeformat[2]{% + \expandafter\gdef\csname labelcrefrange@#1@format\endcsname% + ##1##2##3##4##5##6{#2}}% +\newcommand\labelcrefmultiformat[5]{% + \expandafter\gdef\csname labelcref@#1@format@first\endcsname% + ##1##2##3{#2}% + \expandafter\gdef\csname labelcref@#1@format@second\endcsname% + ##1##2##3{#3}% + \expandafter\gdef\csname labelcref@#1@format@middle\endcsname% + ##1##2##3{#4}% + \expandafter\gdef\csname labelcref@#1@format@last\endcsname% + ##1##2##3{#5}}% +\newcommand\labelcrefrangemultiformat[5]{% + \expandafter\gdef\csname labelcrefrange@#1@format@first\endcsname% + ##1##2##3##4##5##6{#2}% + \expandafter\gdef\csname labelcrefrange@#1@format@second\endcsname% + ##1##2##3##4##5##6{#3}% + \expandafter\gdef\csname labelcrefrange@#1@format@middle\endcsname% + ##1##2##3##4##5##6{#4}% + \expandafter\gdef\csname labelcrefrange@#1@format@last\endcsname% + ##1##2##3##4##5##6{#5}}% +\def\@crefformat#1#2#3{% + \begingroup% + \expandafter\gdef\csname #1@#2@format\endcsname##1##2##3{#3}% + \cref@othervariant{#1}{\@other}{\@changecase}% + \@ifundefined{\@other @#2@format}{% + \toksdef\@toksa=0% + \@toksa={\def\@tempa##1##2##3}% + \expandafter\expandafter\expandafter\the% + \expandafter\expandafter\expandafter\@toksa% + \expandafter\expandafter\expandafter{% + \csname#1@#2@format\endcsname{##1}{##2}{##3}}% + \expandafter\expandafter\expandafter\the% + \expandafter\expandafter\expandafter\@toksa% + \expandafter\expandafter\expandafter{% + \expandafter\@changecase\@tempa{##1}{##2}{##3}}% + \@toksa={% + \expandafter\gdef\csname\@other @#2@format\endcsname##1##2##3}% + \expandafter\the\expandafter\@toksa\expandafter{% + \@tempa{##1}{##2}{##3}}% + }{}% + \endgroup}% +\def\@crefrangeformat#1#2#3{% + \begingroup% + \expandafter\gdef\csname #1@#2@format\endcsname% + ##1##2##3##4##5##6{#3}% + \cref@othervariant{#1}{\@other}{\@changecase}% + \@ifundefined{\@other @#2@format}{% + \toksdef\@toksa=0% + \@toksa={\def\@tempa##1##2##3##4##5##6}% + \expandafter\expandafter\expandafter\the% + \expandafter\expandafter\expandafter\@toksa% + \expandafter\expandafter\expandafter{% + \csname#1@#2@format\endcsname{##1}{##2}{##3}{##4}{##5}{##6}}% + \expandafter\expandafter\expandafter\the% + \expandafter\expandafter\expandafter\@toksa% + \expandafter\expandafter\expandafter{% + \expandafter\@changecase\@tempa{##1}{##2}{##3}{##4}{##5}{##6}}% + \@toksa={\expandafter\gdef% + \csname\@other @#2@format\endcsname##1##2##3##4##5##6}% + \expandafter\the\expandafter\@toksa\expandafter{% + \@tempa{##1}{##2}{##3}{##4}{##5}{##6}}% + }{}% + \endgroup}% +\def\@crefmultiformat#1#2#3#4#5#6{% + \begingroup% + \expandafter\gdef\csname #1@#2@format@first\endcsname##1##2##3{#3}% + \expandafter\gdef\csname #1@#2@format@second\endcsname##1##2##3{#4}% + \expandafter\gdef\csname #1@#2@format@middle\endcsname##1##2##3{#5}% + \expandafter\gdef\csname #1@#2@format@last\endcsname##1##2##3{#6}% + \cref@othervariant{#1}{\@other}{\@changecase}% + \@ifundefined{\@other @#2@format@first}{% + \toksdef\@toksa=0% + \@toksa={\def\@tempa##1##2##3}% + \expandafter\expandafter\expandafter\the% + \expandafter\expandafter\expandafter\@toksa% + \expandafter\expandafter\expandafter{% + \csname#1@#2@format@first\endcsname{##1}{##2}{##3}}% + \expandafter\expandafter\expandafter\the% + \expandafter\expandafter\expandafter\@toksa% + \expandafter\expandafter\expandafter{% + \expandafter\@changecase\@tempa{##1}{##2}{##3}}% + \@toksa={% + \expandafter\gdef\csname\@other @#2@format@first\endcsname% + ##1##2##3}% + \expandafter\the\expandafter\@toksa\expandafter{% + \@tempa{##1}{##2}{##3}}% + }{}% + \@ifundefined{\@other @#2@format@second}{% + \@toksa={% + \expandafter\global\expandafter\let% + \csname\@other @#2@format@second\endcsname}% + \expandafter\the\expandafter\@toksa% + \csname #1@#2@format@second\endcsname% + }{}% + \@ifundefined{\@other @#2@format@middle}{% + \@toksa={% + \expandafter\global\expandafter\let% + \csname\@other @#2@format@middle\endcsname}% + \expandafter\the\expandafter\@toksa% + \csname #1@#2@format@middle\endcsname% + }{}% + \@ifundefined{\@other @#2@format@last}{% + \@toksa={% + \expandafter\global\expandafter\let% + \csname\@other @#2@format@last\endcsname}% + \expandafter\the\expandafter\@toksa% + \csname #1@#2@format@last\endcsname% + }{}% + \endgroup}% +\def\@crefrangemultiformat#1#2#3#4#5#6{% + \begingroup% + \expandafter\gdef\csname #1@#2@format@first\endcsname% + ##1##2##3##4##5##6{#3}% + \expandafter\gdef\csname #1@#2@format@second\endcsname% + ##1##2##3##4##5##6{#4}% + \expandafter\gdef\csname #1@#2@format@middle\endcsname% + ##1##2##3##4##5##6{#5}% + \expandafter\gdef\csname #1@#2@format@last\endcsname% + ##1##2##3##4##5##6{#6}% + \cref@othervariant{#1}{\@other}{\@changecase}% + \@ifundefined{\@other @#2@format@first}{% + \toksdef\@toksa=0% + \@toksa={\def\@tempa##1##2##3##4##5##6}% + \expandafter\expandafter\expandafter\the% + \expandafter\expandafter\expandafter\@toksa% + \expandafter\expandafter\expandafter{% + \csname#1@#2@format@first\endcsname% + {##1}{##2}{##3}{##4}{##5}{##6}}% + \expandafter\expandafter\expandafter\the% + \expandafter\expandafter\expandafter\@toksa% + \expandafter\expandafter\expandafter{% + \expandafter\@changecase\@tempa{##1}{##2}{##3}{##4}{##5}{##6}}% + \@toksa={% + \expandafter\gdef\csname\@other @#2@format@first\endcsname% + ##1##2##3##4##5##6}% + \expandafter\the\expandafter\@toksa\expandafter{% + \@tempa{##1}{##2}{##3}{##4}{##5}{##6}}% + }{}% + \@ifundefined{\@other @#2@format@second}{% + \@toksa={% + \expandafter\global\expandafter\let% + \csname\@other @#2@format@second\endcsname}% + \expandafter\the\expandafter\@toksa% + \csname #1@#2@format@second\endcsname% + }{}% + \@ifundefined{\@other @#2@format@middle}{% + \@toksa={% + \expandafter\global\expandafter\let% + \csname\@other @#2@format@middle\endcsname}% + \expandafter\the\expandafter\@toksa% + \csname #1@#2@format@middle\endcsname% + }{}% + \@ifundefined{\@other @#2@format@last}{% + \@toksa={% + \expandafter\global\expandafter\let% + \csname\@other @#2@format@last\endcsname}% + \expandafter\the\expandafter\@toksa% + \csname #1@#2@format@last\endcsname% + }{}% + \endgroup}% +\let\if@cref@hyperrefloaded\iffalse% +\@ifpackageloaded{hyperref}{% + \@ifpackagewith{hyperref}{implicit=false}{}{% + \let\if@cref@hyperrefloaded\iftrue% + \PackageInfo{cleveref}{`hyperref' support loaded}% + \def\cref@hyperlinkname#1{\expandafter\expandafter\expandafter% + \@fourthoffive\csname r@#1\endcsname}% + \def\cref@hyperlinkurl#1{\expandafter\expandafter\expandafter% + \@fifthoffive\csname r@#1\endcsname}% + \def\cref@hyperlink#1#2#3\@nil{\hyper@@link[link]{#1}{#2}{#3}} + \let\cref@old@H@refstepcounter\H@refstepcounter% + \def\H@refstepcounter#1{% + \cref@old@H@refstepcounter{#1}% + \cref@constructprefix{#1}{\cref@result}% + \@ifundefined{cref@#1@alias}% + {\def\@tempa{#1}}% + {\def\@tempa{\csname cref@#1@alias\endcsname}}% + \protected@edef\cref@currentlabel{% + [\@tempa][\arabic{#1}][\cref@result]% + \csname p@#1\endcsname\csname the#1\endcsname}}% + \let\refstepcounter@noarg\cref@old@refstepcounter% + \def\refstepcounter@optarg[#1]#2{% + \cref@old@refstepcounter{#2}% + \protected@edef\cref@currentlabel{% + \expandafter\cref@override@label@type% + \cref@currentlabel\@nil{#1}}}% + \@ifundefined{appendix}{}{% + \g@addto@macro\appendix{% + \@ifundefined{chapter}{% + \def\H@refstepcounter#1{% + \cref@old@H@refstepcounter{#1}% + \cref@constructprefix{#1}{\cref@result}% + \ifx\cref@result\@empty% + \def\cref@result{2147483647}% + \else% + \edef\cref@result{2147483647,\cref@result}% + \fi% + \def\@tempa{#1}% + \def\@tempb{section}% + \ifx\@tempa\@tempb% + \protected@edef\cref@currentlabel{% + [appendix][\arabic{#1}][\cref@result]% + \csname p@#1\endcsname\csname the#1\endcsname}% + \else% + \def\@tempa{#1}% + \def\@tempb{subsection}% + \ifx\@tempa\@tempb% + \protected@edef\cref@currentlabel{% + [subappendix][\arabic{#1}][\cref@result]% + \csname p@#1\endcsname\csname the#1\endcsname}% + \else% + \def\@tempa{#1}% + \def\@tempb{subsubsection}% + \ifx\@tempa\@tempb% + \protected@edef\cref@currentlabel{% + [subsubappendix][\arabic{#1}][\cref@result]% + \csname p@#1\endcsname\csname the#1\endcsname}% + \else% + \@ifundefined{cref@#1@alias}% + {\def\@tempa{#1}}% + {\def\@tempa{\csname cref@#1@alias\endcsname}}% + \protected@edef\cref@currentlabel{% + [\@tempa][\arabic{#1}][\cref@result]% + \csname p@#1\endcsname\csname the#1\endcsname}% + \fi% + \fi% + \fi}% + }{% + \def\H@refstepcounter#1{% + \cref@old@H@refstepcounter{#1}% + \cref@constructprefix{#1}{\cref@result}% + \ifx\cref@result\@empty% + \def\cref@result{2147483647}% + \else% + \edef\cref@result{2147483647,\cref@result}% + \fi% + \def\@tempa{#1}% + \def\@tempb{chapter}% + \ifx\@tempa\@tempb% + \protected@edef\cref@currentlabel{% + [appendix][\arabic{#1}][\cref@result]% + \csname p@#1\endcsname\csname the#1\endcsname}% + \else% + \def\@tempa{#1}% + \def\@tempb{section}% + \ifx\@tempa\@tempb% + \protected@edef\cref@currentlabel{% + [subappendix][\arabic{#1}][\cref@result]% + \csname p@#1\endcsname\csname the#1\endcsname}% + \else% + \def\@tempa{#1}% + \def\@tempb{subsection}% + \ifx\@tempa\@tempb% + \protected@edef\cref@currentlabel{% + [subsubappendix][\arabic{#1}][\cref@result]% + \csname p@#1\endcsname\csname the#1\endcsname}% + \else% + \def\@tempa{#1}% + \def\@tempb{subsubsection}% + \ifx\@tempa\@tempb% + \protected@edef\cref@currentlabel{% + [subsubsubappendix][\arabic{#1}][\cref@result]% + \csname p@#1\endcsname\csname the#1\endcsname}% + \else% + \@ifundefined{cref@#1@alias}% + {\def\@tempa{#1}}% + {\def\@tempa{\csname cref@#1@alias\endcsname}}% + \protected@edef\cref@currentlabel{% + [\@tempa][\arabic{#1}][\cref@result]% + \csname p@#1\endcsname\csname the#1\endcsname}% + \fi% + \fi% + \fi% + \fi}% + }% + }% + }% end of \@ifundefined{appendix} + \DeclareRobustCommand{\cref}{% + \@ifstar{\@crefstar{cref}}{\@crefnostar{cref}}}% + \DeclareRobustCommand{\Cref}{% + \@ifstar{\@crefstar{Cref}}{\@crefnostar{Cref}}}% + \def\@crefnostar#1#2{\@cref{#1}{#2}}% + \def\@crefstar#1#2{% + \@crefstarredtrue\@cref{#1}{#2}\@crefstarredfalse}% + \DeclareRobustCommand{\crefrange}{% + \@ifstar{\@crefrangestar{cref}}{\@crefrangenostar{cref}}}% + \DeclareRobustCommand{\Crefrange}{% + \@ifstar{\@crefrangestar{Cref}}{\@crefrangenostar{Cref}}}% + \def\@crefrangenostar#1#2#3{\@setcrefrange{#2}{#3}{#1}{}}% + \def\@crefrangestar#1#2#3{% + \@crefstarredtrue\@setcrefrange{#2}{#3}{#1}{}\@crefstarredfalse}% + \DeclareRobustCommand{\cpageref}{% + \@ifstar{\@cpagerefstar{cref}}{\@cpagerefnostar{cref}}}% + \DeclareRobustCommand{\Cpageref}{% + \@ifstar{\@cpagerefstar{Cref}}{\@cpagerefnostar{Cref}}}% + \def\@cpagerefnostar#1#2{% + \@cpageref{#1}{#2}{\@setcpageref}{\@setcpagerefrange}}% + \def\@cpagerefstar#1#2{% + \@crefstarredtrue% + \@cpageref{#1}{#2}{\@setcpageref}{\@setcpagerefrange}% + \@crefstarredfalse}% + \DeclareRobustCommand{\cpagerefrange}{% + \@ifstar{\@cpagerefrangestar{cref}}{\@cpagerefrangenostar{cref}}}% + \DeclareRobustCommand{\Cpagerefrange}{% + \@ifstar{\@cpagerefrangestar{Cref}}{\@cpagerefrangenostar{Cref}}}% + \def\@cpagerefrangenostar#1#2#3{\@setcpagerefrange{#2}{#3}{#1}{}}% + \def\@cpagerefrangestar#1#2#3{% + \@crefstarredtrue% + \@setcpagerefrange{#2}{#3}{#1}{}% + \@crefstarredfalse}% + \DeclareRobustCommand{\labelcref}{% + \@ifstar{\@labelcrefstar}{\@labelcrefnostar}}% + \def\@labelcrefnostar#1{\@cref{labelcref}{#1}}% + \def\@labelcrefstar#1{% + \@crefstarredtrue% + \@cref{labelcref}{#1}% + \@crefstarredfalse}% + \DeclareRobustCommand{\labelcpageref}{% + \@ifstar{\@labelcpagerefstar}{\@labelcpagerefnostar}}% + \def\@labelcpagerefnostar#1{% + \@cpageref{labelcref}{#1}{\@setcpageref}{\@setcpagerefrange}}% + \def\@labelcpagerefstar#1{% + \@crefstarredtrue% + \@cpageref{labelcref}{#1}{\@setcpageref}{\@setcpagerefrange}% + \@crefstarredfalse}% + \def\@@setcref#1#2{% + \cref@getlabel{#2}{\@templabel}% + \if@crefstarred% + #1{\@templabel}{}{}% + \else% + \edef\@tempname{\cref@hyperlinkname{#2}}% + \edef\@tempurl{\cref@hyperlinkurl{#2}}% + #1{\@templabel}{\cref@hyperlink{\@tempurl}{\@tempname}}{\@nil}% + \fi}% + \def\@@setcrefrange#1#2#3{% + \cref@getlabel{#2}{\@labela}% + \cref@getlabel{#3}{\@labelb}% + \if@crefstarred% + #1{\@labela}{\@labelb}{}{}{}{}% + \else% + \edef\@tempnamea{\cref@hyperlinkname{#2}}% + \edef\@tempurlb{\cref@hyperlinkurl{#3}}% + \edef\@tempnameb{\cref@hyperlinkname{#3}}% + \edef\@tempurla{\cref@hyperlinkurl{#2}}% + #1{\@labela}{\@labelb}% + {\cref@hyperlink{\@tempurla}{\@tempnamea}}{\@nil}% + {\cref@hyperlink{\@tempurlb}{\@tempnameb}}{\@nil}% + \fi}% + \def\@@setcpageref#1#2{% + \cref@getpageref{#2}{\@temppage}% + \if@crefstarred% + #1{\@temppage}{}{}% + \else% + \edef\@tempname{\cref@hyperlinkname{#2}}% + \edef\@tempurl{\cref@hyperlinkurl{#2}}% + #1{\@temppage}{\cref@hyperlink{\@tempurl}{\@tempname}}{\@nil}% + \fi}% + \def\@@setcpagerefrange#1#2#3{% + \cref@getpageref{#2}{\@pagea}% + \cref@getpageref{#3}{\@pageb}% + \if@crefstarred% + #1{\@pagea}{\@pageb}{}{}{}{}% + \else% + \edef\@tempnamea{\cref@hyperlinkname{#2}}% + \edef\@tempurlb{\cref@hyperlinkurl{#3}}% + \edef\@tempnameb{\cref@hyperlinkname{#3}}% + \edef\@tempurla{\cref@hyperlinkurl{#2}}% + #1{\@pagea}{\@pageb}% + {\cref@hyperlink{\@tempurla}{\@tempnamea}}{\@nil}% + {\cref@hyperlink{\@tempurlb}{\@tempnameb}}{\@nil}% + \fi}% + }% end of false case of \@ifpackagewith{hyperref}{implicit=false} +}{% false case of \@ifpackageloaded{hyperref} + \@ifclassloaded{revtex4}{\let\if@cref@hyperrefloaded\iftrue}{}% + \@ifclassloaded{revtex4-1}{\let\if@cref@hyperrefloaded\iftrue}{}% + \if@cref@hyperrefloaded\relax% + \let\cref@old@H@refstepcounter\H@refstepcounter% + \def\H@refstepcounter#1{% + \cref@old@H@refstepcounter{#1}% + \cref@constructprefix{#1}{\cref@result}% + \@ifundefined{cref@#1@alias}% + {\def\@tempa{#1}}% + {\def\@tempa{\csname cref@#1@alias\endcsname}}% + \protected@edef\cref@currentlabel{% + [\@tempa][\arabic{#1}][\cref@result]% + \csname p@#1\endcsname\csname the#1\endcsname}}% + \fi% + \let\if@cref@hyperrefloaded\iffalse% +}% end of \@ifpackageloaded{hyperref} +\@ifpackageloaded{varioref}{% + \PackageInfo{cleveref}{`varioref' support loaded}% + \PackageInfo{cleveref}{`cleveref' supersedes `varioref's + \string\labelformat command}% + \def\cref@@vpageref#1[#2]#3{% + \@cpageref{cref}{#3}% + {\@setvpageref[#1][\vref@space]}{\@setvpagerefrange[#1]}}% + \def\cref@vref#1#2{% + \leavevmode% + \begingroup% + \def\reftextcurrent{}% + \@cref{#1}{#2}\@setcref@space% + \cref@@vpageref{\reftextcurrent}[]{#2}% + \endgroup}% + \def\cref@vrefrange#1#2#3{% + \@setcrefrange{#2}{#3}{#1}{}\@setcref@space\vpagerefrange{#2}{#3}}% + \def\cref@fullref#1#2{% + \@cref{#1}{#2}\@setcref@space% + \@cpageref{cref}{#2}{\@setfullpageref}{\@setfullpagerefrange}}% + \def\cref@vpagerefconjunction#1{% + \def\@tempa{#1}% + \def\@tempb{@second}% + \ifx\@tempa\@tempb\relax% + \@setcref@pairconjunction% + \else% + \def\@tempb{@middle}% + \ifx\@tempa\@tempb\relax% + \@setcref@middleconjunction% + \else% + \def\@tempb{@last}% + \ifx\@tempa\@tempb\relax% + \@setcref@lastconjunction% + \fi% + \fi% + \fi}% + \def\@setcref@space{ }% + \def\@setvpageref[#1][#2]#3#4#5{% + \cref@vpagerefconjunction{#5}% + \def\vref@space{}% + \begingroup% + \cref@patchreftexts{#5}% + \@@setvpageref{#1}[#2]{#3}% + \endgroup}% + \def\@@setvpageref#1[#2]#3{\cref@old@@vpageref{#1}[#2]{#3}}% + \def\@setvpagerefrange[#1]#2#3#4#5{% + \cref@vpagerefconjunction{#5}% + \let\vref@space\relax% + \begingroup% + \cref@patchreftexts{#5}% + \@@setvpagerefrange[#1]{#2}{#3}% + \endgroup}% + \def\@@setvpagerefrange[#1]#2#3{\vpagerefrange[#1]{#2}{#3}}% + \def\@setfullpageref#1#2#3{% + \cref@vpagerefconjunction{#3}% + \begingroup% + \cref@patchreftexts{#3}% + \@@setfullpageref{#1}% + \endgroup}% + \def\@@setfullpageref#1{\reftextfaraway{#1}}% + \def\@setfullpagerefrange#1#2#3#4{% + \cref@vpagerefconjunction{#4}% + \begingroup% + \cref@patchreftexts{#4}% + \@@setfullpagerefrange{#1}{#2}% + \endgroup}% + \def\@@setfullpagerefrange#1#2{\reftextpagerange{#1}{#2}}% + \def\cref@old@@vpageref#1[#2]#3{% + \leavevmode%\unskip <<< + \global\advance\c@vrcnt\@ne% + \vref@pagenum\@tempa{\the\c@vrcnt @vr}% + \vref@pagenum\@tempb{\the\c@vrcnt @xvr}% + %\vref@label{\the\c@vrcnt @xvr}% <<< + \ifx\@tempa\@tempb\else% + \vref@err{\noexpand\vref or \noexpand\vpageref at page boundary + \@tempb-\@tempa\space (may loop)% + }% + \fi% + \vrefpagenum\thevpagerefnum{#3}% + \vref@space% + \ifx\@tempa\thevpagerefnum% + \def\@tempc{#1}% + \ifx\@tempc\@empty% + \unskip% + \else% + #1% + \fi% + \else% + #2% + \is@pos@number\thevpagerefnum% + {% + \is@pos@number\@tempa% + {\@tempcnta\@tempa% + \advance\@tempcnta\@ne% + }% + {\@tempcnta\maxdimen}% + \ifnum \thevpagerefnum =\@tempcnta% + \ifodd\@tempcnta% + \if@twoside% + \reftextfaceafter% + \else% + \reftextafter% + \fi% + \else% + \reftextafter% + \fi% + \else% + \advance\@tempcnta-2% + \ifnum \thevpagerefnum =\@tempcnta% + \ifodd\@tempcnta% + \reftextbefore% + \else% + \if@twoside% + \reftextfacebefore% + \else% + \reftextbefore% + \fi% + \fi% + \else% + \reftextfaraway{#3}% + \fi% + \fi% + }% + {\reftextfaraway{#3}}% + \fi% + \vref@label{\the\c@vrcnt @xvr}% <<< + \vref@label{\the\c@vrcnt @vr}% + }% + \let\creftextcurrent\reftextcurrent% + \let\creftextfaceafter\reftextfaceafter% + \let\creftextfacebefore\reftextfacebefore% + \let\creftextafter\reftextafter% + \let\creftextbefore\reftextbefore% + \let\creftextfaraway\reftextfaraway% + \let\creftextpagerange\reftextpagerange% + \def\cref@patchreftexts#1{% + \cref@patchreftext{reftextcurrent}{#1}% + \cref@patchreftext{reftextfaceafter}{#1}% + \cref@patchreftext{reftextfacebefore}{#1}% + \cref@patchreftext{reftextafter}{#1}% + \cref@patchreftext{reftextbefore}{#1}}% + \def\cref@patchreftext#1#2{% + \def\@tempa{#2}% + \ifx\@tempa\@empty% + \def\@tempc{}% + \expandafter\ifx\csname #1\endcsname\@tempc\relax% + \expandafter\def\csname #1\endcsname{\unskip}% + %{\advance\count@group -1\reftextcurrent@orig}% + \else% + \long\def\@tempc{}% + \expandafter\ifx\csname #1\endcsname\@tempc\relax% + \expandafter\def\csname #1\endcsname{\unskip}% + %{\advance\count@group -1\reftextcurrent@orig}% + \fi% + \fi% + \else% + \long\def\@tempc{\unskip}% + \expandafter\ifx\csname #1\endcsname\@tempc\relax% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\csname #1\endcsname\expandafter{% + \csname c#1\endcsname}% + \else% + \long\def\@tempc{}% + \expandafter\ifx\csname #1\endcsname\@tempc\relax% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\csname #1\endcsname\expandafter{% + \csname c#1\endcsname}% + \else% + \def\@tempc{\unskip}% + \expandafter\ifx\csname #1\endcsname\@tempc\relax% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\csname #1\endcsname\expandafter{% + \csname c#1\endcsname}% + \else% + \def\@tempc{}% + \expandafter\ifx\csname #1\endcsname\@tempc\relax% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\csname #1\endcsname\expandafter{% + \csname c#1\endcsname}% + \fi% + \fi% + \fi% + \fi% + \fi}% + \def\@setcref@pairconjunction{\crefpairconjunction}% + \def\@setcref@middleconjunction{\crefmiddleconjunction}% + \def\@setcref@lastconjunction{\creflastconjunction}% + \AtBeginDocument{% + \def\@@vpageref#1[#2]#3{\cref@@vpageref{#1}[#2]{#3}}% + }% + \if@cref@hyperrefloaded\relax% hyperref loaded% + \DeclareRobustCommand{\vref}{% + \@ifstar{\cref@vrefstar{cref}}{\cref@vref{cref}}}% + \DeclareRobustCommand{\Vref}{% + \@ifstar{\cref@vrefstar{Cref}}{\cref@vref{Cref}}}% + \DeclareRobustCommand{\vrefrange}{% + \@ifstar{\cref@vrefrangestar{cref}}{\cref@vrefrange{cref}}}% + \DeclareRobustCommand{\Vrefrange}{% + \@ifstar{\cref@vrefrangestar{Cref}}{\cref@vrefrange{Cref}}}% + \DeclareRobustCommand{\fullref}{% + \@ifstar{\cref@fullrefstar{cref}}{\cref@fullref{cref}}}% + \DeclareRobustCommand{\Fullref}{% + \@ifstar{\cref@fullrefstar{Cref}}{\cref@fullref{Cref}}}% + \def\cref@vrefstar#1#2{% + \@crefstarredtrue% + \cref@vref{#1}{#2}% + \@crefstarredfalse}% + \def\cref@vrefrangestar#1#2#3{% + \@crefstarredtrue% + \cref@vrefrange{#1}{#2}{#3}% + \@crefstarredfalse}% + \def\cref@fullrefstar#1#2{% + \@crefstarredtrue% + \cref@fullref{#1}{#2}% + \@crefstarredfalse}% + \else% + \DeclareRobustCommand{\vref}{\cref@vref{cref}}% + \DeclareRobustCommand{\Vref}{\cref@vref{Cref}}% + \DeclareRobustCommand{\vrefrange}{\cref@vrefrange{cref}}% + \DeclareRobustCommand{\Vrefrange}{\cref@vrefrange{Cref}}% + \DeclareRobustCommand{\fullref}{\cref@fullref{cref}}% + \DeclareRobustCommand{\Fullref}{\cref@fullref{Cref}}% + \fi% end of test for hyperref +}{}% end of \@ifpackageloaded{varioref} +\@ifpackageloaded{amsmath}{% + \AtBeginDocument{% + \let\cref@old@label@in@display\label@in@display% + \def\label@in@display{% + \@ifnextchar[\label@in@display@optarg\label@in@display@noarg}%] + \def\label@in@display@noarg#1{\cref@old@label@in@display{{#1}}}% + \def\label@in@display@optarg[#1]#2{% + \cref@old@label@in@display{[#1]{#2}}}% + \def\ltx@label#1{\cref@label#1}% + }% end of AtBeginDocument + \def\measure@#1{% + \begingroup% + \measuring@true% + \global\eqnshift@\z@% + \global\alignsep@\z@% + \global\let\tag@lengths\@empty% + \global\let\field@lengths\@empty% + \savecounters@% + \global\setbox0\vbox{% + \let\math@cr@@@\math@cr@@@align@measure% + \everycr{\noalign{\global\tag@false% + \global\let\raise@tag\@empty \global\column@\z@}}% + \let\label\@gobble@optarg% <<< cleveref modification + \global\row@\z@% + \tabskip\z@% + \halign{\span\align@preamble\crcr% + #1% + \math@cr@@@% + \global\column@\z@% + \add@amps\maxfields@\cr% + }% + }% + \restorecounters@% + \ifodd\maxfields@% + \global\advance\maxfields@\@ne% + \fi% + \ifnum\xatlevel@=\tw@% + \ifnum\maxfields@<\thr@@% + \let\xatlevel@\z@% + \fi% + \fi% + \setbox\z@\vbox{% + \unvbox\z@ \unpenalty \global\setbox\@ne\lastbox% + }% + \global\totwidth@\wd\@ne% + \if@fleqn \global\advance\totwidth@\@mathmargin \fi% + \global\let\maxcolumn@widths\@empty% + \begingroup% + \let\or\relax% + \loop% + \global\setbox\@ne\hbox{% + \unhbox\@ne \unskip \global\setbox\thr@@\lastbox% + }% + \ifhbox\thr@@% + \xdef\maxcolumn@widths{ \or \the\wd\thr@@ \maxcolumn@widths}% + \repeat% + \endgroup% + \dimen@\displaywidth% + \advance\dimen@-\totwidth@% + \ifcase\xatlevel@% + \global\alignsep@\z@% + \let\minalignsep\z@% + \@tempcntb\z@% + \if@fleqn% + \@tempcnta\@ne% + \global\eqnshift@\@mathmargin% + \else% + \@tempcnta\tw@% + \global\eqnshift@\dimen@% + \global\divide\eqnshift@\@tempcnta% + \fi% + \or% + \@tempcntb\maxfields@% + \divide\@tempcntb\tw@% + \@tempcnta\@tempcntb% + \advance\@tempcntb\m@ne% + \if@fleqn% + \global\eqnshift@\@mathmargin% + \global\alignsep@\dimen@% + \global\divide\alignsep@\@tempcnta% + \else% + \global\advance\@tempcnta\@ne% + \global\eqnshift@\dimen@% + \global\divide\eqnshift@\@tempcnta% + \global\alignsep@\eqnshift@% + \fi% + \or% + \@tempcntb\maxfields@% + \divide\@tempcntb\tw@% + \global\advance\@tempcntb\m@ne% + \global\@tempcnta\@tempcntb% + \global\eqnshift@\z@% + \global\alignsep@\dimen@% + \if@fleqn% + \global\advance\alignsep@\@mathmargin\relax% + \fi% + \global\divide\alignsep@\@tempcntb% + \fi% + \ifdim\alignsep@<\minalignsep\relax% + \global\alignsep@\minalignsep\relax% + \ifdim\eqnshift@>\z@% + \if@fleqn\else% + \global\eqnshift@\displaywidth% + \global\advance\eqnshift@-\totwidth@% + \global\advance\eqnshift@-\@tempcntb\alignsep@% + \global\divide\eqnshift@\tw@% + \fi% + \fi% + \fi% + \ifdim\eqnshift@<\z@% + \global\eqnshift@\z@% + \fi% + \calc@shift@align% + \global\tagshift@\totwidth@% + \global\advance\tagshift@\@tempcntb\alignsep@% + \if@fleqn% + \ifnum\xatlevel@=\tw@% + \global\advance\tagshift@-\@mathmargin\relax% + \fi% + \else% + \global\advance\tagshift@\eqnshift@% + \fi% + \iftagsleft@ \else% + \global\advance\tagshift@-\displaywidth% + \fi% + \dimen@\minalignsep\relax% + \global\advance\totwidth@\@tempcntb\dimen@% + \ifdim\totwidth@>\displaywidth% + \global\let\displaywidth@\totwidth@% + \else% + \global\let\displaywidth@\displaywidth% + \fi% + \endgroup% + }% + \def\gmeasure@#1{% + \begingroup% + \measuring@true% + \totwidth@\z@% + \global\let\tag@lengths\@empty% + \savecounters@% + \setbox\@ne\vbox{% + \everycr{\noalign{\global\tag@false% + \global\let\raise@tag\@empty \global\column@\z@}}% + \let\label\@gobble% <<< cleveref modification + \halign{% + \setboxz@h{$\m@th\displaystyle{##}$}% + \ifdim\wdz@>\totwidth@% + \global\totwidth@\wdz@% + \fi% + &\setboxz@h{\strut@{##}}% + \savetaglength@% + \crcr% + #1% + \math@cr@@@% + }% + }% + \restorecounters@% + \if@fleqn% + \global\advance\totwidth@\@mathmargin% + \fi% + \iftagsleft@% + \ifdim\totwidth@>\displaywidth% + \global\let\gdisplaywidth@\totwidth@% + \else% + \global\let\gdisplaywidth@\displaywidth% + \fi% + \fi% + \endgroup% +}% + \def\multline@#1{% + \Let@% + \@display@init{\global\advance\row@\@ne \global\dspbrk@lvl\m@ne}% + \chardef\dspbrk@context\z@% + \restore@math@cr% + \let\tag\tag@in@align% + \global\tag@false \global\let\raise@tag\@empty% + \mmeasure@{#1}% + \let\tag\gobble@tag \let\label\@gobble@optarg% <<< cleveref modification + \tabskip \if@fleqn \@mathmargin \else \z@skip \fi% + \totwidth@\displaywidth% + \if@fleqn% + \advance\totwidth@-\@mathmargin% + \fi% + \halign\bgroup% + \hbox to\totwidth@{% + \if@fleqn% + \hskip \@centering \relax% + \else% + \hfil% + \fi% + \strut@% + $\m@th\displaystyle{}##\endmultline@math% + \hfil% + }% $ + \crcr% + \if@fleqn% + \hskip-\@mathmargin% + \def\multline@indent{\hskip\@mathmargin}% + \else% + \hfilneg% + \def\multline@indent{\hskip\multlinegap}% + \fi% + \iftagsleft@% + \iftag@% + \begingroup% + \ifshifttag@% + \rlap{\vbox{% + \normalbaselines% + \hbox{% + \strut@% + \make@display@tag% + }% + \vbox to\lineht@{}% + \raise@tag% + }}% + \multline@indent% + \else% + \setbox\z@\hbox{\make@display@tag}% + \dimen@\@mathmargin \advance\dimen@-\wd\z@% + \ifdim\dimen@<\multlinetaggap% + \dimen@\multlinetaggap% + \fi% + \box\z@ \hskip\dimen@\relax% + \fi% + \endgroup% + \else% + \multline@indent% + \fi% + \else% + \multline@indent% + \fi% + #1% + }% + \def\mmeasure@#1{% + \begingroup% + \measuring@true% + \def\label{% <<< cleveref modification + \@ifnextchar[\label@in@mmeasure@optarg%] + \label@in@mmeasure@noarg}% + \def\math@cr@@@{\cr}% + \let\shoveleft\@iden \let\shoveright\@iden% + \savecounters@% + \global\row@\z@% + \setbox\@ne\vbox{% + \global\let\df@tag\@empty% + \halign{% + \setboxz@h{\@lign$\m@th\displaystyle{}##$}% + \iftagsleft@% + \ifnum\row@=\@ne% + \global\totwidth@\wdz@% + \global\lineht@\ht\z@% + \fi% + \else% + \global\totwidth@\wdz@% + \global\lineht@\dp\z@% + \fi% + \crcr% + #1% + \crcr% + }% + }% + \ifx\df@tag\@empty\else\global\tag@true\fi% + \if@eqnsw\global\tag@true\fi% + \iftag@% + \setboxz@h{% + \if@eqnsw% + \stepcounter{equation}% + \tagform@\theequation% + \else% + \df@tag% + \fi% + }% + \global\tagwidth@\wdz@% + \dimen@\totwidth@% + \advance\dimen@\tagwidth@% + \advance\dimen@\multlinetaggap% + \iftagsleft@\else% + \if@fleqn% + \advance\dimen@\@mathmargin% + \fi% + \fi% + \ifdim\dimen@>\displaywidth% + \global\shifttag@true% + \else% + \global\shifttag@false% + \fi% + \fi% + \restorecounters@% + \endgroup% + }% + \def\label@in@mmeasure@noarg#1{% + \begingroup% + \measuring@false% + \cref@old@label@in@display{{#1}}% + \endgroup}% + \def\label@in@mmeasure@optarg[#1]#2{% + \begingroup% + \measuring@false% + \cref@old@label@in@display{[#1]{#2}}% + \endgroup}% + \let\cref@old@subequations\subequations% + \let\cref@old@endsubequations\endsubequations% + \cref@resetby{equation}{\cref@result}% + \ifx\cref@result\relax\else% + \@addtoreset{parentequation}{\cref@result}% + \fi% + \renewenvironment{subequations}{% + \@addtoreset{equation}{parentequation}% + \let\cref@orig@equation@alias\cref@equation@alias% + \@ifundefined{cref@subequation@alias}% + {\crefalias{equation}{subequation}}% + {\def\@tempa{{equation}}% + \expandafter\expandafter\expandafter\crefalias% + \expandafter\@tempa\expandafter{\cref@subequation@alias}}% + \cref@old@subequations% + }{% + \gdef\cl@parentequation{}% + \cref@old@endsubequations% + \setcounter{parentequation}{0}% + \@ifundefined{cref@orig@cref@equation@alias}% + {\let\cref@equation@alias\relax}% + {\let\cref@equation@alias\cref@orig@equation@alias\relax}% + \let\cref@orig@equation@alias\relax% + }% + \let\cref@old@make@df@tag@@\make@df@tag@@% + \def\make@df@tag@@#1{% + \cref@old@make@df@tag@@{#1}% + \let\cref@old@df@tag\df@tag% + \expandafter\gdef\expandafter\df@tag\expandafter{% + \cref@old@df@tag% + \def\cref@currentlabel{[equation][2147483647][]#1}}}% + \let\cref@old@make@df@tag@@@\make@df@tag@@@% + \def\make@df@tag@@@#1{% + \cref@old@make@df@tag@@@{#1}% + \let\cref@old@df@tag\df@tag% + \expandafter\gdef\expandafter\df@tag\expandafter{% + \cref@old@df@tag% + \toks@\@xp{\p@equation{#1}}% + \edef\cref@currentlabel{[equation][2147483647][]\the\toks@}}}% +}{}% end of \@ifpackageloaded{amsmath} +\@ifpackageloaded{amsthm}{% + \PackageInfo{cleveref}{`amsthm' support loaded}% + \let\cref@thmnoarg\@thm% + \def\@thm{\@ifnextchar[{\cref@thmoptarg}{\cref@thmnoarg}}%] + \def\cref@thmoptarg[#1]#2#3#4{% + \ifhmode\unskip\unskip\par\fi% + \normalfont% + \trivlist% + \let\thmheadnl\relax% + \let\thm@swap\@gobble% + \thm@notefont{\fontseries\mddefault\upshape}% + \thm@headpunct{.}% add period after heading + \thm@headsep 5\p@ plus\p@ minus\p@\relax% + \thm@space@setup% + #2% style overrides + \@topsep \thm@preskip % used by thm head + \@topsepadd \thm@postskip % used by \@endparenv + \def\@tempa{#3}\ifx\@empty\@tempa% + \def\@tempa{\@oparg{\@begintheorem{#4}{}}[]}% + \else% + \refstepcounter[#1]{#3}% <<< cleveref modification + \def\@tempa{\@oparg{\@begintheorem{#4}{\csname the#3\endcsname}}[]}% + \fi% + \@tempa}% + \def\@ynthm#1[#2]#3{% + \edef\@tempa{\expandafter\noexpand% + \csname cref@#1@name@preamble\endcsname}% + \edef\@tempb{\expandafter\noexpand% + \csname Cref@#1@name@preamble\endcsname}% + \def\@tempc{#3}% + \ifx\@tempc\@empty\relax% + \expandafter\gdef\@tempa{}% + \expandafter\gdef\@tempb{}% + \else% + \if@cref@capitalise% + \expandafter\expandafter\expandafter\gdef\expandafter% + \@tempa\expandafter{\MakeUppercase #3}% + \else% + \expandafter\expandafter\expandafter\gdef\expandafter% + \@tempa\expandafter{\MakeLowercase #3}% + \fi% + \expandafter\expandafter\expandafter\gdef\expandafter% + \@tempb\expandafter{\MakeUppercase #3}% + \fi% + \cref@stack@add{#1}{\cref@label@types}% + \ifx\relax#2\relax% + \def\@tempa{\@oparg{\@xthm{#1}{#3}}[]}% + \else% + \@ifundefined{c@#2}{% + \def\@tempa{\@nocounterr{#2}}% + }{% + \@xp\xdef\csname the#1\endcsname{\@xp\@nx\csname the#2\endcsname}% + \toks@{#3}% + \@xp\xdef\csname#1\endcsname{% + \@nx\@thm[#1]{% <<< new optional argument for theorem name + \let\@nx\thm@swap% + \if S\thm@swap\@nx\@firstoftwo\else\@nx\@gobble\fi% + \@xp\@nx\csname th@\the\thm@style\endcsname}% + {#2}{\the\toks@}}% + \let\@tempa\relax% + }% + \fi% + \@tempa}% + \let\@xnthm\cref@old@xnthm% +}{}% end of \@ifpackageloaded{amsthm} +\@ifpackageloaded{ntheorem}{% + \PackageInfo{cleveref}{`ntheorem' support loaded}% + \@ifpackagewith{ntheorem}{thref}{% + \PackageWarning{cleveref}{`cleveref' supersedes `ntheorem's `thref' + option}% + \renewcommand{\thref}{\cref}}{}% + \@ifundefined{theorem@prework}{\let\theorem@prework\relax}{}% + \gdef\@thm#1#2#3{% + \if@thmmarks% + \stepcounter{end\InTheoType ctr}% + \fi% + \renewcommand{\InTheoType}{#1}% + \if@thmmarks% + \stepcounter{curr#1ctr}% + \setcounter{end#1ctr}{0}% + \fi% + \refstepcounter[#1]{#2}% <<< cleveref modification + \theorem@prework% + \thm@topsepadd \theorempostskipamount% + \ifvmode \advance\thm@topsepadd\partopsep\fi% + \trivlist% + \@topsep \theorempreskipamount% + \@topsepadd \thm@topsepadd% + \advance\linewidth -\theorem@indent% + \advance\@totalleftmargin \theorem@indent% + \parshape \@ne \@totalleftmargin \linewidth% + \@ifnextchar[{\@ythm{#1}{#2}{#3}}{\@xthm{#1}{#2}{#3}}%] + }% +}{}% end of \@ifpackageloaded{ntheorem} +\@ifpackageloaded{IEEEtrantools}{% + \PackageInfo{cleveref}{`IEEEtrantools' support loaded}% + \let\cref@orig@@IEEEeqnarray\@@IEEEeqnarray% + \def\@@IEEEeqnarray[#1]#2{% + \refstepcounter{equation}% + \addtocounter{equation}{-1}% + \cref@orig@@IEEEeqnarray[#1]{#2}}% + \let\cref@orig@IEEEeqnarrayXCR\@IEEEeqnarrayXCR% + \def\@IEEEeqnarrayXCR[#1]{% + \if@eqnsw% + \if@IEEEissubequation% + %\addtocounter{equation}{1}% + \refstepcounter{IEEEsubequation}% + \addtocounter{IEEEsubequation}{-1}% + \else% + \refstepcounter{equation}% + \addtocounter{equation}{-1}% + \fi% + \fi% + \cref@orig@IEEEeqnarrayXCR[#1]}% + \let\cref@orig@IEEEyessubnumber\IEEEyessubnumber% + \def\IEEEyessubnumber{% + \if@IEEEeqnarrayISinner% + \if@IEEElastlinewassubequation\else% + \setcounter{IEEEsubequation}{0}% + \refstepcounter{IEEEsubequation}% + \fi% + \fi% + \cref@orig@IEEEyessubnumber}% + \@addtoreset{IEEEsubequation}{equation}% + \crefalias{IEEEsubequation}{equation}% +}{}% end of \@ifpackageloaded{IEEEtrantools} +\@ifpackageloaded{breqn}{% + \PackageInfo{cleveref}{`breqn' support loaded}% + \let\cref@old@eq@setnumber\eq@setnumber% + \def\eq@setnumber{% + \cref@old@eq@setnumber% + \cref@constructprefix{equation}{\cref@result}% + \protected@xdef\cref@currentlabel{% + [equation][\arabic{equation}][\cref@result]\p@equation\theequation}}% +}{}% end of \@ifpackageloaded{breqn} + \@ifpackageloaded{algorithmicx}{% + \PackageInfo{cleveref}{`algorithmicx' support loaded}% + \g@addto@macro\ALG@step{% + \addtocounter{ALG@line}{-1}% + \refstepcounter{ALG@line}% + \expandafter\@cref@getprefix\cref@currentlabel\@nil\cref@currentprefix% + \xdef\cref@currentprefix{\cref@currentprefix}}% + \g@addto@macro\ALG@beginalgorithmic{% + \def\cref@currentlabel{% + [line][\arabic{ALG@line}][\cref@currentprefix]\theALG@line}}% + }{}% end of \@ifpackageloaded{algorithmicx} + \@ifpackageloaded{listings}{% + \PackageInfo{cleveref}{`listings' support loaded}% + \crefalias{lstlisting}{listing}% + \crefalias{lstnumber}{line}% + \lst@AddToHook{Init}{% + \def\cref@currentlabel{% + [line][\arabic{lstnumber}][\cref@currentprefix]\thelstnumber}}% + \lst@AddToHook{EveryPar}{% + \expandafter\@cref@getprefix\cref@currentlabel\@nil\cref@currentprefix% + \xdef\cref@currentprefix{\cref@currentprefix}}% + }{}% end of \@ifpackageloaded{listings} + \@ifpackageloaded{algorithm2e}{% + \PackageInfo{cleveref}{`algorithm2e' support loaded}% + \crefalias{algocf}{algorithm}% + \crefalias{algocfline}{line}% + \crefalias{AlgoLine}{line}% + \let\cref@old@algocf@nl@sethref\algocf@nl@sethref% + \renewcommand{\algocf@nl@sethref}[1]{% + \cref@old@algocf@nl@sethref{#1}% + \cref@constructprefix{AlgoLine}{\cref@result}% + \@ifundefined{cref@AlgoLine@alias}% + {\def\@tempa{AlgoLine}}% + {\def\@tempa{\csname cref@AlgoLine@alias\endcsname}}% + \xdef\cref@currentlabel{% + [\@tempa][\arabic{AlgoLine}][\cref@result]% + \csname p@AlgoLine\endcsname\csname theAlgoLine\endcsname}}% + }{}% end of \@ifpackageloaded{algorithm2e} +\@ifpackageloaded{subfig}{% + \PackageInfo{cleveref}{`subfig' support loaded}% + \AtBeginDocument{% + \let\cref@old@refsteponlycounter\refsteponlycounter% + \def\refsteponlycounter{% + \@ifnextchar[\refstepcounter@optarg% + \cref@old@refsteponlycounter%] + }}% + \def\sf@sub@label(#1){% + \ifhyperrefloaded% + \protected@edef\@currentlabelname{% + \expandafter\strip@period #1\relax.\relax\@@@}% + \fi% + \let\sf@oldlabel\cref@old@label% + \let\cref@old@label\sf@@sub@label% + \cref@label}% + }{}% end of \@ifpackageloaded{subfig} +\@ifclassloaded{memoir}{% + \AtBeginDocument{% + \def\sf@memsub@label(#1){% + \protected@edef\mem@currentlabelname{#1}% + \let\@memoldlabel\cref@old@label% + \let\cref@old@label\sf@@memsub@label% + \cref@label}}% +}{}% +\@ifpackageloaded{caption}{% + \@ifpackagelater{caption}{2011/08/19}{}{% + \PackageInfo{cleveref}{`caption' support loaded}% + \let\cref@old@caption@xlabel\caption@xlabel% + \def\caption@xlabel{% + \let\cref@ORI@label\cref@old@label% + \let\cref@old@label\cref@old@caption@xlabel% + \let\caption@ORI@label\cref@ORI@label% + \cref@label}% + }% end of \@ifpackagelater + }{}% end of \@ifpackageloaded{caption} +\@ifpackageloaded{aliascnt}{% + \PackageInfo{cleveref}{`aliascnt' support loaded}% + \let\cref@old@newaliascnt\newaliascnt% + \renewcommand*{\newaliascnt}[2]{% + \cref@old@newaliascnt{#1}{#2}% + \cref@resetby{#2}{\cref@result}% + \ifx\cref@result\relax\else% + \@addtoreset{#1}{\cref@result}% + \fi}% + }{}% end of \@ifpackageloaded{aliascnt} +\DeclareOption{poorman}{% + \PackageInfo{cleveref}{option `poorman' loaded}% + \gdef\cref@poorman@text{}% + \AtBeginDocument{% + \newwrite\@crefscript% + \immediate\openout\@crefscript=\jobname.sed}% + \newif\if@cref@switched@language% + \@ifpackageloaded{babel}{% + \AtBeginDocument{% + \let\cref@old@select@language\select@language% + \def\select@language{% + \@cref@switched@languagetrue% + \cref@writelanguagerules% + \cref@old@select@language}% + \let\cref@old@foreign@language\foreign@language% + \def\foreign@language{% + \@cref@switched@languagetrue% + \cref@writelanguagerules% + \cref@old@foreign@language}% + \edef\cref@inputlineno{\the\inputlineno}}% + }{}% + \AtEndDocument{% + \let\select@language\cref@old@select@language% + \let\foreign@language\cref@old@foreign@language% + \cref@writelanguagerules}% + \def\cref@writelanguagerules{% + \begingroup% + \if@cref@switched@language% + \edef\@address{\cref@inputlineno,\the\inputlineno}% + \else% + \def\@address{}% + \fi% + \expandafter\def\expandafter\cref@poorman@text\expandafter{% + \crefrangeconjunction}% + \expandafter\def\expandafter\@tempa\expandafter{% + \expandafter{\@address}{\string\crefrangeconjunction}}% + \expandafter\cref@writescript\@tempa% + \expandafter\def\expandafter\cref@poorman@text\expandafter{% + \crefrangepreconjunction}% + \expandafter\def\expandafter\@tempa\expandafter{% + \expandafter{\@address}{\string\crefrangepreconjunction}}% + \expandafter\cref@writescript\@tempa% + \expandafter\def\expandafter\cref@poorman@text\expandafter{% + \crefrangepostconjunction}% + \expandafter\def\expandafter\@tempa\expandafter{% + \expandafter{\@address}{\string\crefrangepostconjunction}}% + \expandafter\cref@writescript\@tempa% + \expandafter\def\expandafter\cref@poorman@text\expandafter{% + \crefpairconjunction}% + \expandafter\def\expandafter\@tempa\expandafter{% + \expandafter{\@address}{\string\crefpairconjunction}}% + \expandafter\cref@writescript\@tempa% + \expandafter\def\expandafter\cref@poorman@text\expandafter{% + \crefmiddleconjunction}% + \expandafter\def\expandafter\@tempa\expandafter{% + \expandafter{\@address}{\string\crefmiddleconjunction}}% + \expandafter\cref@writescript\@tempa% + \expandafter\def\expandafter\cref@poorman@text\expandafter{% + \creflastconjunction}% + \expandafter\def\expandafter\@tempa\expandafter{% + \expandafter{\@address}{\string\creflastconjunction}}% + \expandafter\cref@writescript\@tempa% + \expandafter\def\expandafter\cref@poorman@text\expandafter{% + \crefpairgroupconjunction}% + \expandafter\def\expandafter\@tempa\expandafter{% + \expandafter{\@address}{\string\crefpairgroupconjunction}}% + \expandafter\cref@writescript\@tempa% + \expandafter\def\expandafter\cref@poorman@text\expandafter{% + \crefmiddlegroupconjunction}% + \expandafter\def\expandafter\@tempa\expandafter{% + \expandafter{\@address}{\string\crefmiddlegroupconjunction}}% + \expandafter\cref@writescript\@tempa% + \expandafter\def\expandafter\cref@poorman@text\expandafter{% + \creflastgroupconjunction}% + \expandafter\def\expandafter\@tempa\expandafter{% + \expandafter{\@address}{\string\creflastgroupconjunction}}% + \expandafter\cref@writescript\@tempa% + \let\@tempstack\cref@label@types% + \cref@isstackfull{\@tempstack}% + \@whilesw\if@cref@stackfull\fi{% + \edef\@tempa{\cref@stack@top{\@tempstack}}% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter\cref@poorman@text% + \expandafter\expandafter\expandafter{% + \csname cref@\@tempa @name\endcsname}% + \edef\@tempa{% + \string\cref@\expandafter\noexpand\@tempa @name\space}% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter\@tempa% + \expandafter\expandafter\expandafter{% + \expandafter\expandafter\expandafter{% + \expandafter\@address\expandafter}% + \expandafter{\@tempa}}% + \expandafter\cref@writescript\@tempa% + \edef\@tempa{\cref@stack@top{\@tempstack}}% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter\cref@poorman@text% + \expandafter\expandafter\expandafter{% + \csname cref@\@tempa @name@plural\endcsname}% + \edef\@tempa{% + \string\cref@\expandafter\noexpand\@tempa% + @name@plural\space}% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter\@tempa% + \expandafter\expandafter\expandafter{% + \expandafter\expandafter\expandafter{% + \expandafter\@address\expandafter}% + \expandafter{\@tempa}}% + \expandafter\cref@writescript\@tempa% + \edef\@tempa{\cref@stack@top{\@tempstack}}% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter\cref@poorman@text% + \expandafter\expandafter\expandafter{% + \csname Cref@\@tempa @name\endcsname}% + \edef\@tempa{% + \string\Cref@\expandafter\noexpand\@tempa @name\space}% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter\@tempa% + \expandafter\expandafter\expandafter{% + \expandafter\expandafter\expandafter% + {\expandafter\@address\expandafter}% + \expandafter{\@tempa}}% + \expandafter\cref@writescript\@tempa% + \edef\@tempa{\cref@stack@top{\@tempstack}}% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter\cref@poorman@text% + \expandafter\expandafter\expandafter{% + \csname Cref@\@tempa @name@plural\endcsname}% + \edef\@tempa{% + \string\Cref@\expandafter\noexpand\@tempa% + @name@plural\space}% + \expandafter\expandafter\expandafter\def% + \expandafter\expandafter\expandafter\@tempa% + \expandafter\expandafter\expandafter{% + \expandafter\expandafter\expandafter% + {\expandafter\@address\expandafter}% + \expandafter{\@tempa}}% + \expandafter\cref@writescript\@tempa% + \cref@stack@pop{\@tempstack}% + \cref@isstackfull{\@tempstack}}% + \endgroup% + \edef\cref@inputlineno{\the\inputlineno}}% + \AtEndDocument{% + \immediate\closeout\@crefscript% + \newread\@crefscript% + \immediate\openin\@crefscript=\jobname.sed% + \begingroup% + \newif\if@not@eof% + \def\@eof{\par }% + \catcode`.=13 \catcode`*=13% + \catcode`[=13 \catcode`]=13% + \catcode`^=13 \catcode`$=13 %$ + \catcode`\=0 \catcode`<=1 \catcode`>=2% + \catcode`\\=13 \catcode`\{=12 \catcode`\}=12 \catcode`_=12% + \lccode`/=92% + \lccode`~=92\lowercase{\def~{\string/\string/}}% + \lccode`~=42\lowercase{\def~{\string/\string*}}% + \lccode`~=46\lowercase{\def~{\string/\string.}}% + \lccode`~=91\lowercase{\def~{\string/\string[}}% + \lccode`~=93\lowercase{\def~{\string/\string]}}% + \lccode`~=94\lowercase{\def~{\string/\string^}}% + \lccode`~=36\lowercase{\def~{\string/\string$}}% $ + \lccode`~=0 \lccode`/=0 \catcode`~=12% + \def\cref@poorman@text{}% + \immediate\read\@crefscript to \@tempa% + \ifx\@tempa\@eof% + \@not@eoffalse% + \else% + \@not@eoftrue% + \edef\@tempa{\@tempa}% + \fi% + \@whilesw\if@not@eof\fi{% + \expandafter\g@addto@macro\expandafter% + \cref@poorman@text\expandafter{\@tempa^^J}% + \immediate\read\@crefscript to \@tempa% + \ifx\@tempa\@eof% + \@not@eoffalse% + \else% + \@not@eoftrue% + \edef\@tempa{\@tempa}% + \fi}% + \endgroup% + \immediate\closein\@crefscript% + \begingroup% + \lccode`|=92 \lccode`<=123 \lccode`>=125 \lccode`C=67% + \lowercase{\def\@tempa{%[| + s/||label|[[^]]*|]/||label/g}}% + \expandafter\g@addto@macro\expandafter% + \cref@poorman@text\expandafter{\@tempa^^J}% + \lowercase{\edef\@tempa{s/||usepackage|(|[.*|]|)|<0,1|>//g}}% + \expandafter\g@addto@macro\expandafter% + \cref@poorman@text\expandafter{\@tempa^^J}% + \lowercase{\edef\@tempa{s/||[cC]refformat<.*><.*>//g}}% + \expandafter\g@addto@macro\expandafter% + \cref@poorman@text\expandafter{\@tempa^^J}% + \lowercase{\edef\@tempa{s/||[cC]refrangeformat<.*><.*>//g}}% + \expandafter\g@addto@macro\expandafter% + \cref@poorman@text\expandafter{\@tempa^^J}% + \lowercase{\edef\@tempa{s/||[cC]refmultiformat<.*><.*><.*><.*>//g}}% + \expandafter\g@addto@macro\expandafter% + \cref@poorman@text\expandafter{\@tempa^^J}% + \lowercase{\edef\@tempa{% + s/||[cC]refrangemultiformat<.*><.*><.*><.*>//g}}% + \expandafter\g@addto@macro\expandafter% + \cref@poorman@text\expandafter{\@tempa^^J}% + \lowercase{\edef\@tempa{s/||[cC]refname<.*><.*>//g}}% + \expandafter\g@addto@macro\expandafter% + \cref@poorman@text\expandafter{\@tempa^^J}% + \lowercase{\edef\@tempa{s/||[cC]reflabelformat<.*><.*>//g}}% + \expandafter\g@addto@macro\expandafter% + \cref@poorman@text\expandafter{\@tempa^^J}% + \lowercase{\edef\@tempa{s/||[cC]refrangelabelformat<.*><.*>//g}}% + \expandafter\g@addto@macro\expandafter% + \cref@poorman@text\expandafter{\@tempa^^J}% + \lowercase{\edef\@tempa{s/||[cC]refdefaultlabelformat<.*>//g}}% + \expandafter\g@addto@macro\expandafter% + \cref@poorman@text\expandafter{\@tempa^^J}% + \lowercase{\edef\@tempa{% + s/||renewcommand<||crefpairconjunction><.*>//g}}% + \expandafter\g@addto@macro\expandafter% + \cref@poorman@text\expandafter{\@tempa^^J}% + \lowercase{\edef\@tempa{% + s/||renewcommand<||crefpairgroupconjunction><.*>//g}}% + \expandafter\g@addto@macro\expandafter% + \cref@poorman@text\expandafter{\@tempa^^J}% + \lowercase{\edef\@tempa{% + s/||renewcommand<||crefmiddleconjunction><.*>//g}}% + \expandafter\g@addto@macro\expandafter% + \cref@poorman@text\expandafter{\@tempa^^J}% + \lowercase{\edef\@tempa{% + s/||renewcommand<||crefmiddlegroupconjunction><.*>//g}}% + \expandafter\g@addto@macro\expandafter% + \cref@poorman@text\expandafter{\@tempa^^J}% + \lowercase{\edef\@tempa{% + s/||renewcommand<||creflastconjunction><.*>//g}}% + \expandafter\g@addto@macro\expandafter% + \cref@poorman@text\expandafter{\@tempa^^J}% + \lowercase{\edef\@tempa{% + s/||renewcommand<||creflastgroupconjunction><.*>//g}}% + \expandafter\g@addto@macro\expandafter% + \cref@poorman@text\expandafter{\@tempa^^J}% + \lowercase{\edef\@tempa{s/||renewcommand<||[cC]ref><.*>//g}}% + \expandafter\g@addto@macro\expandafter% + \cref@poorman@text\expandafter{\@tempa^^J}% + \lowercase{\edef\@tempa{s/||renewcommand<||[cC]refrange><.*>//g}}% + \expandafter\g@addto@macro\expandafter% + \cref@poorman@text\expandafter{\@tempa^^J}% + \endgroup% + \newwrite\@crefscript% + \immediate\openout\@crefscript=\jobname.sed% + \immediate\write\@crefscript{\cref@poorman@text}% + \immediate\closeout\@crefscript% + }% end of \AtEndDocument + \def\cref@getmeaning#1{\expandafter\@cref@getmeaning\meaning#1\@nil}% + \def\@cref@getmeaning#1->#2\@nil{#2}% + \def\cref@writescript#1#2{% + \edef\@tempa{\cref@getmeaning{\cref@poorman@text}}% + \immediate\write\@crefscript{#1 s/#2/\@tempa/g}}% + \if@cref@hyperrefloaded\relax% hyperref loaded + \def\@crefnostar#1#2{% + \gdef\cref@poorman@text{}% + \@cref{#1}{#2}% + \def\@tempa##1##2\@nil{% + \if##1c% + \cref@writescript{}{\string\cref\string{#2\string}}% + \else% + \cref@writescript{}{\string\Cref\string{#2\string}}% + \fi}% + \@tempa#1\@nil}% + \def\@crefstar#1#2{% + \gdef\cref@poorman@text{}% + \@crefstarredtrue\@cref{#1}{#2}\@crefstarredfalse% + \def\@tempa##1##2\@nil{% + \if##1c% + \cref@writescript{}{\string\cref*\string{#2\string}}% + \else% + \cref@writescript{}{\string\Cref*\string{#2\string}}% + \fi}% + \@tempa#1\@nil}% + \def\@crefrangenostar#1#2#3{% + \gdef\cref@poorman@text{}% + \@setcrefrange{#2}{#3}{#1}{}% + \def\@tempa##1##2\@nil{% + \if##1c% + \cref@writescript{}{% + \string\crefrange\string{#2\string}\string{#3\string}}% + \else% + \cref@writescript{}{% + \string\Crefrange\string{#2\string}\string{#3\string}}% + \fi}% + \@tempa#1\@nil}% + \def\@crefrangestar#1#2#3{% + \gdef\cref@poorman@text{}% + \@crefstarredtrue\@setcrefrange{#2}{#3}{#1}{}\@crefstarredfalse% + \def\@tempa##1##2\@nil{% + \if##1c% + \cref@writescript{}{% + \string\crefrange*\string{#2\string}\string{#3\string}}% + \else% + \cref@writescript{}{% + \string\Crefrange*\string{#2\string}\string{#3\string}}% + \fi}% + \@tempa#1\@nil}% + \def\@cpagerefnostar#1#2{% + \gdef\cref@poorman@text{}% + \@cpageref{#1}{#2}{\@setcpageref}{\@setcpagerefrange}% + \def\@tempa##1##2\@nil{% + \if##1c% + \cref@writescript{}{\string\cpageref\string{#2\string}}% + \else% + \cref@writescript{}{\string\Cpageref\string{#2\string}}% + \fi}% + \@tempa#1\@nil}% + \def\@cpagerefstar#1#2{% + \gdef\cref@poorman@text{}% + \@crefstarredtrue% + \@cpageref{#1}{#2}{\@setcpageref}{\@setcpagerefrange}% + \@crefstarredfalse% + \def\@tempa##1##2\@nil{% + \if##1c% + \cref@writescript{}{\string\cpageref*\string{#2\string}}% + \else% + \cref@writescript{}{\string\Cpageref*\string{#2\string}}% + \fi}% + \@tempa#1\@nil}% + \def\@cpagerefrangenostar#1#2#3{% + \gdef\cref@poorman@text{}% + \@setcpagerefrange{#2}{#3}{#1}{}% + \def\@tempa##1##2\@nil{% + \if##1c% + \cref@writescript{}{% + \string\cpagerefrange\string{#2\string}\string{#3\string}}% + \else% + \cref@writescript{}{% + \string\Cpagerefrange\string{#2\string}\string{#3\string}}% + \fi}% + \@tempa#1\@nil}% + \def\@cpagerefrangestar#1#2#3{% + \gdef\cref@poorman@text{}% + \@crefstarredtrue% + \@setcpagerefrange{#2}{#3}{#1}{}% + \@crefstarredfalse% + \def\@tempa##1##2\@nil{% + \if##1c% + \cref@writescript{}{% + \string\cpagerefrange*\string{#2\string}\string{#3\string}}% + \else% + \cref@writescript{}{% + \string\Cpagerefrange*\string{#2\string}\string{#3\string}}% + \fi}% + \@tempa#1\@nil}% + \def\@labelcrefnostar#1{% + \gdef\cref@poorman@text{}% + \@cref{labelcref}{#1}% + \cref@writescript{}{\string\labelcref\string{#1\string}}}% + \def\@labelcrefstar#1{% + \gdef\cref@poorman@text{}% + \@crefstarredtrue% + \@cref{labelcref}{#1}% + \@crefstarredfalse% + \cref@writescript{}{\string\labelcref*\string{#1\string}}}% + \def\@labelcpagerefnostar#1{% + \gdef\cref@poorman@text{}% + \@cpageref{labelcref}{#1}{\@setcpageref}{\@setcpagerefrange}% + \cref@writescript{}{\string\labelcpageref\string{#1\string}}}% + \def\@labelcpagerefstar#1{% + \gdef\cref@poorman@text{}% + \@crefstarredtrue% + \@cpageref{labelcref}{#1}{\@setcpageref}{\@setcpagerefrange}% + \@crefstarredfalse% + \cref@writescript{}{\string\labelcpageref*\string{#1\string}}}% + \else% hyperref not loaded + \DeclareRobustCommand{\cref}[1]{% + \gdef\cref@poorman@text{}% + \@cref{cref}{#1}% + \cref@writescript{}{\string\cref\string{#1\string}}}% + \DeclareRobustCommand{\Cref}[1]{% + \gdef\cref@poorman@text{}% + \@cref{Cref}{#1}% + \cref@writescript{}{\string\Cref\string{#1\string}}}% + \DeclareRobustCommand{\crefrange}[2]{% + \gdef\cref@poorman@text{}% + \@setcrefrange{#1}{#2}{cref}{}% + \cref@writescript{}{% + \string\crefrange\string{#1\string}\string{#2\string}}}% + \DeclareRobustCommand{\Crefrange}[2]{% + \gdef\cref@poorman@text{}% + \@setcrefrange{#1}{#2}{Cref}{}% + \cref@writescript{}{% + \string\Crefrange\string{#1\string}\string{#2\string}}}% + \DeclareRobustCommand{\cpageref}[1]{% + \gdef\cref@poorman@text{}% + \@cpageref{cref}{#1}{\@setcpageref}{\@setcpagerefrange}% + \cref@writescript{}{\string\cpageref\string{#1\string}}}% + \DeclareRobustCommand{\Cpageref}[1]{% + \gdef\cref@poorman@text{}% + \@cpageref{Cref}{#1}{\@setcpageref}{\@setcpagerefrange}% + \cref@writescript{}{\string\Cpageref\string{#1\string}}}% + \DeclareRobustCommand{\cpagerefrange}[2]{% + \gdef\cref@poorman@text{}% + \@setcpagerefrange{#1}{#2}{cref}{}% + \cref@writescript{}{% + \string\cpagerefrange\string{#1\string}\string{#2\string}}}% + \DeclareRobustCommand{\Cpagerefrange}[2]{% + \gdef\cref@poorman@text{}% + \@setcpagerefrange{#1}{#2}{Cref}{}% + \cref@writescript{}{% + \string\Cpagerefrange\string{#1\string}\string{#2\string}}}% + \DeclareRobustCommand{\labelcref}[1]{% + \gdef\cref@poorman@text{}% + \@cref{labelcref}{#1}% + \cref@writescript{}{\string\labelcref\string{#1\string}}}% + \DeclareRobustCommand{\labelcpageref}[1]{% + \gdef\cref@poorman@text{}% + \@cpageref{labelcref}{#1}{\@setcpageref}{\@setcpagerefrange}% + \cref@writescript{}{\string\labelcpageref\string{#1\string}}}% + \fi% end of test for hyperref + \DeclareRobustCommand{\namecref}[1]{% + \gdef\cref@poorman@text{}% + \@setnamecref{cref}{#1}{}{}% + \cref@writescript{}{\string\namecref\string{#1\string}}}% + \DeclareRobustCommand{\nameCref}[1]{% + \gdef\cref@poorman@text{}% + \@setnamecref{Cref}{#1}{}{}% + \cref@writescript{}{\string\nameCref\string{#1\string}}}% + \DeclareRobustCommand{\lcnamecref}[1]{% + \gdef\cref@poorman@text{}% + \@setnamecref{Cref}{#1}{}{\MakeLowercase}% + \cref@writescript{}{\string\lcnamecref\string{#1\string}}}% + \DeclareRobustCommand{\namecrefs}[1]{% + \gdef\cref@poorman@text{}% + \@setnamecref{cref}{#1}{@plural}{}% + \cref@writescript{}{\string\namecrefs\string{#1\string}}}% + \DeclareRobustCommand{\nameCrefs}[1]{% + \gdef\cref@poorman@text{}% + \@setnamecref{Cref}{#1}{@plural}{}% + \cref@writescript{}{\string\nameCrefs\string{#1\string}}}% + \DeclareRobustCommand{\lcnamecrefs}[1]{% + \gdef\cref@poorman@text{}% + \@setnamecref{Cref}{#1}{@plural}{\MakeLowercase}% + \cref@writescript{}{\string\lcnamecrefs\string{#1\string}}}% + \def\@setcref@pairgroupconjunction{% + \crefpairgroupconjunction% + \expandafter\g@addto@macro\expandafter\cref@poorman@text% + \expandafter{\crefpairgroupconjunction}}% + \def\@setcref@middlegroupconjunction{% + \crefmiddlegroupconjunction% + \expandafter\g@addto@macro\expandafter\cref@poorman@text% + \expandafter{\crefmiddlegroupconjunction}}% + \def\@setcref@lastgroupconjunction{% + \creflastgroupconjunction% + \expandafter\g@addto@macro\expandafter\cref@poorman@text% + \expandafter{\creflastgroupconjunction}}% + \let\old@@setcref\@@setcref% + \let\old@@setcrefrange\@@setcrefrange% + \let\old@@setcpageref\@@setcpageref% + \let\old@@setcpagerefrange\@@setcpagerefrange% + \if@cref@hyperrefloaded\relax% hyperref loaded + \def\@@setcref#1#2{% + \old@@setcref{#1}{#2}% + \if@crefstarred% + \expandafter\g@addto@macro\expandafter\cref@poorman@text% + \expandafter{#1{\ref*{#2}}{}{}}% + \else% + \expandafter\g@addto@macro\expandafter\cref@poorman@text% + \expandafter{#1{\ref{#2}}{}{}}% + \fi}% + \def\@@setcrefrange#1#2#3{% + \old@@setcrefrange{#1}{#2}{#3}% + \if@crefstarred% + \expandafter\g@addto@macro\expandafter\cref@poorman@text% + \expandafter{#1{\ref*{#2}}{\ref*{#3}}{}{}{}{}}% + \else% + \expandafter\g@addto@macro\expandafter\cref@poorman@text% + \expandafter{#1{\ref{#2}}{\ref{#3}}{}{}{}{}}% + \fi}% + \def\@@setcpageref#1#2{% + \old@@setcpageref{#1}{#2}% + \if@crefstarred% + \expandafter\g@addto@macro\expandafter\cref@poorman@text% + \expandafter{#1{\pageref*{#2}}{}{}}% + \else% + \expandafter\g@addto@macro\expandafter\cref@poorman@text% + \expandafter{#1{\pageref{#2}}{}{}}% + \fi}% + \def\@@setcpagerefrange#1#2#3{% + \old@@setcpagerefrange{#1}{#2}{#3}% + \if@crefstarred% + \expandafter\g@addto@macro\expandafter\cref@poorman@text% + \expandafter{#1{\pageref*{#2}}{\pageref*{#3}}{}{}{}{}}% + \else% + \expandafter\g@addto@macro\expandafter\cref@poorman@text% + \expandafter{#1{\pageref{#2}}{\pageref{#3}}{}{}{}{}}% + \fi}% + \else% hyperref not loaded + \def\@@setcref#1#2{% + \old@@setcref{#1}{#2}% + \expandafter\g@addto@macro\expandafter{% + \expandafter\cref@poorman@text\expandafter}% + \expandafter{#1{\ref{#2}}{}{}}}% + \def\@@setcrefrange#1#2#3{% + \old@@setcrefrange{#1}{#2}{#3}% + \expandafter\g@addto@macro% + \expandafter{\expandafter\cref@poorman@text\expandafter}% + \expandafter{#1{\ref{#2}}{\ref{#3}}{}{}{}{}}}% + \def\@@setcpageref#1#2{% + \old@@setcpageref{#1}{#2}% + \expandafter\g@addto@macro\expandafter{% + \expandafter\cref@poorman@text\expandafter}% + \expandafter{#1{\pageref{#2}}{}{}}}% + \def\@@setcpagerefrange#1#2#3{% + \old@@setcpagerefrange{#1}{#2}{#3}% + \expandafter\g@addto@macro% + \expandafter{\expandafter\cref@poorman@text\expandafter}% + \expandafter{#1{\pageref{#2}}{\pageref{#3}}{}{}{}{}}}% + \fi% end of hyperref test + \let\old@@setnamecref\@@setnamecref% + \def\@@setnamecref#1#2{% + \old@@setnamecref{#1}{#2}% + \expandafter\def\expandafter\@tempa\expandafter{#1}% + \def\@tempb{#2}% + \expandafter\expandafter\expandafter\g@addto@macro% + \expandafter\expandafter\expandafter{% + \expandafter\expandafter\expandafter\cref@poorman@text% + \expandafter\expandafter\expandafter}% + \expandafter\expandafter\expandafter{\expandafter\@tempb\@tempa}}% + \@ifpackageloaded{varioref}{% + \AtBeginDocument{% + \def\@@vpageref#1[#2]#3{% + \gdef\cref@poorman@text{}% + \cref@@vpageref{#1}[#2]{#3}% + \cref@writescript{}{\string\vpageref\string{#3\string}}}% + \let\old@cref@vref\cref@vref% + \def\cref@vref#1#2{% + \gdef\cref@poorman@text{}% + \old@cref@vref{#1}{#2}% + \def\@tempa##1##2\@nil{% + \if##1c% + \if@crefstarred% + \cref@writescript{}{\string\vref*\string{#2\string}}% + \else% + \cref@writescript{}{\string\vref\string{#2\string}}% + \fi% + \else% + \if@crefstarred% + \cref@writescript{}{\string\Vref*\string{#2\string}}% + \else% + \cref@writescript{}{\string\Vref\string{#2\string}}% + \fi% + \fi}% + \@tempa#1\@nil}% + \let\old@cref@fullref\cref@fullref% + \def\cref@fullref#1#2{% + \gdef\cref@poorman@text{}% + \old@cref@fullref{#1}{#2}% + \def\@tempa##1##2\@nil{% + \if##1c% + \if@crefstarred% + \cref@writescript{}{\string\fullref*\string{#2\string}}% + \else% + \cref@writescript{}{\string\fullref\string{#2\string}}% + \fi% + \else% + \if@crefstarred% + \cref@writescript{}{\string\Fullref*\string{#2\string}}% + \else% + \cref@writescript{}{\string\Fullref\string{#2\string}}% + \fi% + \fi}% + \@tempa#1\@nil}% + \let\old@cref@vrefrange\cref@vrefrange% + \def\cref@vrefrange#1#2#3{% + \gdef\cref@poorman@text{}% + \old@cref@vrefrange{#1}{#2}{#3}% + \def\@tempa##1##2\@nil{% + \if##1c% + \if@crefstarred% + \cref@writescript{}{% + \string\vrefrange*\string{#2\string}\string{#3\string}}% + \else% + \cref@writescript{}{% + \string\vrefrange\string{#2\string}\string{#3\string}}% + \fi% + \else% + \if@crefstarred% + \cref@writescript{}{% + \string\Vrefrange*\string{#2\string}\string{#3\string}}% + \else% + \cref@writescript{}{% + \string\Vrefrange\string{#2\string}\string{#3\string}}% + \fi% + \fi}% + \@tempa#1\@nil}% + \def\@@setvpageref#1[#2]#3{% + \cref@old@@vpageref{#1}[#2]{#3}% + \g@addto@macro\cref@poorman@text{\vpageref{#3}}}% + \def\@@setvpagerefrange[#1]#2#3{% + \vpagerefrange[#1]{#2}{#3}% + \g@addto@macro\cref@poorman@text{\vpagerefrange{#2}{#3}}}% + \def\@@setfullpageref#1{% + \reftextfaraway{#1}% + \g@addto@macro\cref@poorman@text{\reftextfaraway{#1}}}% + \def\@@setfullpagerefrange#1#2{% + \reftextpagerange{#1}{#2}% + \g@addto@macro\cref@poorman@text{\reftextpagerange{#1}{#2}}}% + \def\@setcref@space{ % space here is deliberate + \g@addto@macro\cref@poorman@text{ }}% + \def\@setcref@pairconjunction{% + \crefpairconjunction% + \expandafter\g@addto@macro\expandafter\cref@poorman@text% + \expandafter{\crefpairconjunction}}% + \def\@setcref@middleconjunction{% + \crefmiddleconjunction% + \expandafter\g@addto@macro\expandafter\cref@poorman@text% + \expandafter{\crefmiddleconjunction}}% + \def\@setcref@lastconjunction{% + \creflastconjunction% + \expandafter\g@addto@macro\expandafter\cref@poorman@text% + \expandafter{\creflastconjunction}}% + }% end of \AtBeginDocument + }{}% end of \@ifpackageloaded{varioref} +}% end of poorman option +\newif\if@cref@sort% +\newif\if@cref@compress% +\@cref@sorttrue% +\@cref@compresstrue% +\DeclareOption{sort}{% + \PackageInfo{cleveref}{sorting but not compressing references}% + \@cref@sorttrue% + \@cref@compressfalse}% +\DeclareOption{compress}{% + \PackageInfo{cleveref}{compressing but not sorting references}% + \@cref@sortfalse% + \@cref@compresstrue}% +\DeclareOption{sort&compress}{% + \PackageInfo{cleveref}{sorting and compressing references}% + \@cref@sorttrue% + \@cref@compresstrue}% +\DeclareOption{nosort}{% + \PackageInfo{cleveref}{neither sorting nor compressing references}% + \@cref@sortfalse% + \@cref@compressfalse}% +\newif\if@cref@capitalise% +\@cref@capitalisefalse% +\DeclareOption{capitalise}{% + \PackageInfo{cleveref}{always capitalise cross-reference names}% + \@cref@capitalisetrue}% +\DeclareOption{capitalize}{% + \PackageInfo{cleveref}{always capitalise cross-reference names}% + \@cref@capitalisetrue}% +\newif\if@cref@nameinlink% +\@cref@nameinlinkfalse% +\DeclareOption{nameinlink}{% + \PackageInfo{cleveref}{include cross-reference names in hyperlinks}% + \@cref@nameinlinktrue}% +\newif\if@cref@abbrev% +\@cref@abbrevtrue% +\DeclareOption{noabbrev}{% + \PackageInfo{cleveref}{no abbreviation of names}% + \@cref@abbrevfalse}% +\def\cref@addto#1#2{% + \@temptokena{#2}% + \ifx#1\undefined% + \edef#1{\the\@temptokena}% + \else% + \toks@\expandafter{#1}% + \edef#1{\the\toks@\the\@temptokena}% + \fi% + \@temptokena{}\toks@\@temptokena}% +\@onlypreamble\cref@addto% +\long\def\cref@addlanguagedefs#1#2{% + \@ifpackageloaded{polyglossia}% + {\AtBeginDocument{% + \ifcsdef{#1@loaded}{% + \expandafter\cref@addto\csname captions#1\endcsname{#2}}{}}}% + {\@ifpackageloaded{babel}{% + \edef\@curroptions{\@ptionlist{\@currname.\@currext}}% + \@expandtwoargs\in@{,#1,}{,\@classoptionslist,\@curroptions,}% + \ifin@% + \AtBeginDocument{% + \expandafter\cref@addto\csname extras#1\endcsname{#2}}% + \fi}{}}}% +\DeclareOption{english}{% + \AtBeginDocument{% + \def\crefrangeconjunction@preamble{ to\nobreakspace}% + \def\crefrangepreconjunction@preamble{}% + \def\crefrangepostconjunction@preamble{}% + \def\crefpairconjunction@preamble{ and\nobreakspace}% + \def\crefmiddleconjunction@preamble{, }% + \def\creflastconjunction@preamble{ and\nobreakspace}% + \def\crefpairgroupconjunction@preamble{ and\nobreakspace}% + \def\crefmiddlegroupconjunction@preamble{, }% + \def\creflastgroupconjunction@preamble{, and\nobreakspace}% + % + \Crefname@preamble{equation}{Equation}{Equations}% + \Crefname@preamble{figure}{Figure}{Figures}% + \Crefname@preamble{table}{Table}{Tables}% + \Crefname@preamble{page}{Page}{Pages}% + \Crefname@preamble{part}{Part}{Parts}% + \Crefname@preamble{chapter}{Chapter}{Chapters}% + \Crefname@preamble{section}{Section}{Sections}% + \Crefname@preamble{appendix}{Appendix}{Appendices}% + \Crefname@preamble{enumi}{Item}{Items}% + \Crefname@preamble{footnote}{Footnote}{Footnotes}% + \Crefname@preamble{theorem}{Theorem}{Theorems}% + \Crefname@preamble{lemma}{Lemma}{Lemmas}% + \Crefname@preamble{corollary}{Corollary}{Corollaries}% + \Crefname@preamble{proposition}{Proposition}{Propositions}% + \Crefname@preamble{definition}{Definition}{Definitions}% + \Crefname@preamble{result}{Result}{Results}% + \Crefname@preamble{example}{Example}{Examples}% + \Crefname@preamble{remark}{Remark}{Remarks}% + \Crefname@preamble{note}{Note}{Notes}% + \Crefname@preamble{algorithm}{Algorithm}{Algorithms}% + \Crefname@preamble{listing}{Listing}{Listings}% + \Crefname@preamble{line}{Line}{Lines}% + % + \if@cref@capitalise% capitalise set + \if@cref@abbrev% + \crefname@preamble{equation}{Eq.}{Eqs.}% + \crefname@preamble{figure}{Fig.}{Figs.}% + \else% + \crefname@preamble{equation}{Equation}{Equations}% + \crefname@preamble{figure}{Figure}{Figures}% + \fi% + \crefname@preamble{page}{Page}{Pages}% + \crefname@preamble{table}{Table}{Tables}% + \crefname@preamble{part}{Part}{Parts}% + \crefname@preamble{chapter}{Chapter}{Chapters}% + \crefname@preamble{section}{Section}{Sections}% + \crefname@preamble{appendix}{Appendix}{Appendices}% + \crefname@preamble{enumi}{Item}{Items}% + \crefname@preamble{footnote}{Footnote}{Footnotes}% + \crefname@preamble{theorem}{Theorem}{Theorems}% + \crefname@preamble{lemma}{Lemma}{Lemmas}% + \crefname@preamble{corollary}{Corollary}{Corollaries}% + \crefname@preamble{proposition}{Proposition}{Propositions}% + \crefname@preamble{definition}{Definition}{Definitions}% + \crefname@preamble{result}{Result}{Results}% + \crefname@preamble{example}{Example}{Examples}% + \crefname@preamble{remark}{Remark}{Remarks}% + \crefname@preamble{note}{Note}{Notes}% + \crefname@preamble{algorithm}{Algorithm}{Algorithms}% + \crefname@preamble{listing}{Listing}{Listings}% + \crefname@preamble{line}{Line}{Lines}% + % + \else% capitalise unset + \if@cref@abbrev% + \crefname@preamble{equation}{eq.}{eqs.}% + \crefname@preamble{figure}{fig.}{figs.}% + \else% + \crefname@preamble{equation}{equation}{equations}% + \crefname@preamble{figure}{figure}{figures}% + \fi% + \crefname@preamble{page}{page}{pages}% + \crefname@preamble{table}{table}{tables}% + \crefname@preamble{part}{part}{parts}% + \crefname@preamble{chapter}{chapter}{chapters}% + \crefname@preamble{section}{section}{sections}% + \crefname@preamble{appendix}{appendix}{appendices}% + \crefname@preamble{enumi}{item}{items}% + \crefname@preamble{footnote}{footnote}{footnotes}% + \crefname@preamble{theorem}{theorem}{theorems}% + \crefname@preamble{lemma}{lemma}{lemmas}% + \crefname@preamble{corollary}{corollary}{corollaries}% + \crefname@preamble{proposition}{proposition}{propositions}% + \crefname@preamble{definition}{definition}{definitions}% + \crefname@preamble{result}{result}{results}% + \crefname@preamble{example}{example}{examples}% + \crefname@preamble{remark}{remark}{remarks}% + \crefname@preamble{note}{note}{notes}% + \crefname@preamble{algorithm}{algorithm}{algorithms}% + \crefname@preamble{listing}{listing}{listings}% + \crefname@preamble{line}{line}{lines}% + \fi% + \def\cref@language{english}% + }}% end \AtBeginDocument and \DeclareOption +\cref@addlanguagedefs{english}{% + \PackageInfo{cleveref}{loaded `english' language definitions}% + \renewcommand{\crefrangeconjunction}{ to\nobreakspace}% + \renewcommand\crefrangepreconjunction{}% + \renewcommand\crefrangepostconjunction{}% + \renewcommand{\crefpairconjunction}{ and\nobreakspace}% + \renewcommand{\crefmiddleconjunction}{, }% + \renewcommand{\creflastconjunction}{ and\nobreakspace}% + \renewcommand{\crefpairgroupconjunction}{ and\nobreakspace}% + \renewcommand{\crefmiddlegroupconjunction}{, }% + \renewcommand{\creflastgroupconjunction}{, and\nobreakspace}% + % + \Crefname{equation}{Equation}{Equations}% + \Crefname{figure}{Figure}{Figures}% + \Crefname{subfigure}{Figure}{Figures}% + \Crefname{table}{Table}{Tables}% + \Crefname{subtable}{Table}{Tables}% + \Crefname{page}{Page}{Pages}% + \Crefname{part}{Part}{Parts}% + \Crefname{chapter}{Chapter}{Chapters}% + \Crefname{section}{Section}{Sections}% + \Crefname{subsection}{Section}{Sections}% + \Crefname{subsubsection}{Section}{Sections}% + \Crefname{appendix}{Appendix}{Appendices}% + \Crefname{subappendix}{Appendix}{Appendices}% + \Crefname{subsubappendix}{Appendix}{Appendices}% + \Crefname{subsubsubappendix}{Appendix}{Appendices}% + \Crefname{enumi}{Item}{Items}% + \Crefname{enumii}{Item}{Items}% + \Crefname{enumiii}{Item}{Items}% + \Crefname{enumiv}{Item}{Items}% + \Crefname{enumv}{Item}{Items}% + \Crefname{footnote}{Footnote}{Footnotes}% + \Crefname{theorem}{Theorem}{Theorems}% + \Crefname{lemma}{Lemma}{Lemmas}% + \Crefname{corollary}{Corollary}{Corollaries}% + \Crefname{proposition}{Proposition}{Propositions}% + \Crefname{definition}{Definition}{Definitions}% + \Crefname{result}{Result}{Results}% + \Crefname{example}{Example}{Examples}% + \Crefname{remark}{Remark}{Remarks}% + \Crefname{note}{Note}{Notes}% + \Crefname{algorithm}{Algorithm}{Algorithms}% + \Crefname{listing}{Listing}{Listings}% + \Crefname{line}{Line}{Lines}% + % + \if@cref@capitalise% capitalise set + \if@cref@abbrev% + \crefname{equation}{Eq.}{Eqs.}% + \crefname{figure}{Fig.}{Figs.}% + \crefname{subfigure}{Fig.}{Figs.}% + \else% + \crefname{equation}{Equation}{Equations}% + \crefname{figure}{Figure}{Figures}% + \crefname{subfigure}{Figure}{Figures}% + \fi% + \crefname{page}{Page}{Pages}% + \crefname{table}{Table}{Tables}% + \crefname{subtable}{Table}{Tables}% + \crefname{part}{Part}{Parts}% + \crefname{chapter}{Chapter}{Chapters}% + \crefname{section}{Section}{Sections}% + \crefname{subsection}{Section}{Sections}% + \crefname{subsubsection}{Section}{Sections}% + \crefname{appendix}{Appendix}{Appendices}% + \crefname{subappendix}{Appendix}{Appendices}% + \crefname{subsubappendix}{Appendix}{Appendices}% + \crefname{subsubsubappendix}{Appendix}{Appendices}% + \crefname{enumi}{Item}{Items}% + \crefname{enumii}{Item}{Items}% + \crefname{enumiii}{Item}{Items}% + \crefname{enumiv}{Item}{Items}% + \crefname{enumv}{Item}{Items}% + \crefname{footnote}{Footnote}{Footnotes}% + \crefname{theorem}{Theorem}{Theorems}% + \crefname{lemma}{Lemma}{Lemmas}% + \crefname{corollary}{Corollary}{Corollaries}% + \crefname{proposition}{Proposition}{Propositions}% + \crefname{definition}{Definition}{Definitions}% + \crefname{result}{Result}{Results}% + \crefname{example}{Example}{Examples}% + \crefname{remark}{Remark}{Remarks}% + \crefname{note}{Note}{Notes}% + \crefname{algorithm}{Algorithm}{Algorithms}% + \crefname{listing}{Listing}{Listings}% + \crefname{line}{Line}{Lines}% + % + \else% capitalise unset + \if@cref@abbrev% + \crefname{equation}{eq.}{eqs.}% + \crefname{figure}{fig.}{figs.}% + \crefname{subfigure}{fig.}{figs.}% + \else% + \crefname{equation}{equation}{equations}% + \crefname{figure}{figure}{figures}% + \crefname{subfigure}{figure}{figures}% + \fi% + \crefname{table}{table}{tables}% + \crefname{subtable}{table}{tables}% + \crefname{page}{page}{pages}% + \crefname{part}{part}{parts}% + \crefname{chapter}{chapter}{chapters}% + \crefname{section}{section}{sections}% + \crefname{subsection}{section}{sections}% + \crefname{subsubsection}{section}{sections}% + \crefname{appendix}{appendix}{appendices}% + \crefname{subappendix}{appendix}{appendices}% + \crefname{subsubappendix}{appendix}{appendices}% + \crefname{subsubsubappendix}{appendix}{appendices}% + \crefname{enumi}{item}{items}% + \crefname{enumii}{item}{items}% + \crefname{enumiii}{item}{items}% + \crefname{enumiv}{item}{items}% + \crefname{enumv}{item}{items}% + \crefname{footnote}{footnote}{footnotes}% + \crefname{theorem}{theorem}{theorems}% + \crefname{lemma}{lemma}{lemmas}% + \crefname{corollary}{corollary}{corollaries}% + \crefname{proposition}{proposition}{propositions}% + \crefname{definition}{definition}{definitions}% + \crefname{result}{result}{results}% + \crefname{example}{example}{examples}% + \crefname{remark}{remark}{remarks}% + \crefname{note}{note}{notes}% + \crefname{algorithm}{algorithm}{algorithms}% + \crefname{listing}{listing}{listings}% + \crefname{line}{line}{lines}% + \fi}% end \cref@addlangagedefs +\DeclareOption{german}{% + \AtBeginDocument{% + \def\crefrangeconjunction@preamble{ bis\nobreakspace}% + \def\crefrangepreconjunction@preamble{}% + \def\crefrangepostconjunction@preamble{}% + \def\crefpairconjunction@preamble{ und\nobreakspace}% + \def\crefmiddleconjunction@preamble{, }% + \def\creflastconjunction@preamble{ und\nobreakspace}% + \def\crefpairgroupconjunction@preamble{ und\nobreakspace}% + \def\crefmiddlegroupconjunction@preamble{, }% + \def\creflastgroupconjunction@preamble{ und\nobreakspace}% + % + \Crefname@preamble{equation}{Gleichung}{Gleichungen}% + \Crefname@preamble{figure}{Abbildung}{Abbildungen}% + \Crefname@preamble{table}{Tabelle}{Tabellen}% + \Crefname@preamble{page}{Seite}{Seiten}% + \Crefname@preamble{part}{Teil}{Teile}% + \Crefname@preamble{chapter}{Kapitel}{Kapitel}% + \Crefname@preamble{section}{Abschnitt}{Abschnitte}% + \Crefname@preamble{appendix}{Anhang}{Anh\"ange}% + \Crefname@preamble{enumi}{Punkt}{Punkte}% + \Crefname@preamble{footnote}{Fu\ss note}{Fu\ss noten}% + \Crefname@preamble{theorem}{Theorem}{Theoreme}% + \Crefname@preamble{lemma}{Lemma}{Lemmata}% + \Crefname@preamble{corollary}{Korollar}{Korollare}% + \Crefname@preamble{proposition}{Satz}{S\"atze}% + \Crefname@preamble{definition}{Definition}{Definitionen}% + \Crefname@preamble{result}{Ergebnis}{Ergebnisse}% + \Crefname@preamble{example}{Beispiel}{Beispiele}% + \Crefname@preamble{remark}{Bemerkung}{Bemerkungen}% + \Crefname@preamble{note}{Anmerkung}{Anmerkungen}% + \Crefname@preamble{algorithm}{Algorithmus}{Algorithmen}% + \Crefname@preamble{listing}{Listing}{Listings}% + \Crefname@preamble{line}{Zeile}{Zeilen}% + % + \if@cref@abbrev% + \crefname@preamble{figure}{Abb.}{Abb.}% + \else% + \crefname@preamble{figure}{Abbildung}{Abbildungen}% + \fi% + \crefname@preamble{equation}{Gleichung}{Gleichungen}% + \crefname@preamble{table}{Tabelle}{Tabellen}% + \crefname@preamble{page}{Seite}{Seiten}% + \crefname@preamble{part}{Teil}{Teile}% + \crefname@preamble{chapter}{Kapitel}{Kapitel}% + \crefname@preamble{section}{Abschnitt}{Abschnitte}% + \crefname@preamble{appendix}{Anhang}{Anh\"ange}% + \crefname@preamble{enumi}{Punkt}{Punkte}% + \crefname@preamble{footnote}{Fu\ss note}{Fu\ss noten}% + \crefname@preamble{theorem}{Theorem}{Theoreme}% + \crefname@preamble{lemma}{Lemma}{Lemmata}% + \crefname@preamble{corollary}{Korollar}{Korollare}% + \crefname@preamble{proposition}{Satz}{S\"atze}% + \crefname@preamble{definition}{Definition}{Definitionen}% + \crefname@preamble{result}{Ergebnis}{Ergebnisse}% + \crefname@preamble{example}{Beispiel}{Beispiele}% + \crefname@preamble{remark}{Bemerkung}{Bemerkungen}% + \crefname@preamble{note}{Anmerkung}{Anmerkungen}% + \crefname@preamble{algorithm}{Algorithmus}{Algorithmen}% + \crefname@preamble{listing}{Listing}{Listings}% + \crefname@preamble{line}{Zeile}{Zeilen}% + \def\cref@language{german}% + }}% end \AtBeginDocument and \DeclareOption +\cref@addlanguagedefs{german}{% + \PackageInfo{cleveref}{loaded `german language definitions}% + \renewcommand{\crefrangeconjunction}{ bis\nobreakspace}% + \renewcommand\crefrangepreconjunction{}% + \renewcommand\crefrangepostconjunction{}% + \renewcommand{\crefpairconjunction}{ und\nobreakspace}% + \renewcommand{\crefmiddleconjunction}{, }% + \renewcommand{\creflastconjunction}{ und\nobreakspace}% + \renewcommand{\crefpairgroupconjunction}{ und\nobreakspace}% + \renewcommand{\crefmiddlegroupconjunction}{, }% + \renewcommand{\creflastgroupconjunction}{ und\nobreakspace}% + % + \Crefname{equation}{Gleichung}{Gleichungen}% + \Crefname{figure}{Abbildung}{Abbildungen}% + \Crefname{subfigure}{Abbildung}{Abbildungen}% + \Crefname{table}{Tabelle}{Tabellen}% + \Crefname{subtable}{Tabelle}{Tabellen}% + \Crefname{page}{Seite}{Seiten}% + \Crefname{part}{Teil}{Teile}% + \Crefname{chapter}{Kapitel}{Kapitel}% + \Crefname{section}{Abschnitt}{Abschnitte}% + \Crefname{subsection}{Abschnitt}{Abschnitte}% + \Crefname{subsubsection}{Abschnitt}{Abschnitte}% + \Crefname{appendix}{Anhang}{Anh\"ange}% + \Crefname{subappendix}{Anhang}{Anh\"ange}% + \Crefname{subsubappendix}{Anhang}{Anh\"ange}% + \Crefname{subsubsubappendix}{Anhang}{Anh\"ange}% + \Crefname{enumi}{Punkt}{Punkte}% + \Crefname{enumii}{Punkt}{Punkte}% + \Crefname{enumiii}{Punkt}{Punkte}% + \Crefname{enumiv}{Punkt}{Punkte}% + \Crefname{enumv}{Punkt}{Punkte}% + \Crefname{footnote}{Fu\ss note}{Fu\ss noten}% + \Crefname{theorem}{Theorem}{Theoreme}% + \Crefname{lemma}{Lemma}{Lemmata}% + \Crefname{corollary}{Korollar}{Korollare}% + \Crefname{proposition}{Satz}{S\"atze}% + \Crefname{definition}{Definition}{Definitionen}% + \Crefname{result}{Ergebnis}{Ergebnisse}% + \Crefname{example}{Beispiel}{Beispiele}% + \Crefname{remark}{Bemerkung}{Bemerkungen}% + \Crefname{note}{Anmerkung}{Anmerkungen}% + \Crefname{algorithm}{Algorithmus}{Algorithmen}% + \Crefname{listing}{Listing}{Listings}% + \Crefname{line}{Zeile}{Zeilen}% + % + \if@cref@abbrev% + \crefname{figure}{Abb.}{Abb.}% + \crefname{subfigure}{Abb.}{Abb.}% + \else% + \crefname{figure}{Abbildung}{Abbildungen}% + \crefname{subfigure}{Abbildung}{Abbildungen}% + \fi% + \crefname{equation}{Gleichung}{Gleichungen}% + \crefname{table}{Tabelle}{Tabellen}% + \crefname{subtable}{Tabelle}{Tabellen}% + \crefname{page}{Seite}{Seiten}% + \crefname{part}{Teil}{Teile}% + \crefname{chapter}{Kapitel}{Kapitel}% + \crefname{section}{Abschnitt}{Abschnitte}% + \crefname{subsection}{Abschnitt}{Abschnitte}% + \crefname{subsubsection}{Abschnitt}{Abschnitte}% + \crefname{appendix}{Anhang}{Anh\"ange}% + \crefname{subappendix}{Anhang}{Anh\"ange}% + \crefname{subsubappendix}{Anhang}{Anh\"ange}% + \crefname{subsubsubappendix}{Anhang}{Anh\"ange}% + \crefname{enumi}{Punkt}{Punkte}% + \crefname{enumii}{Punkt}{Punkte}% + \crefname{enumiii}{Punkt}{Punkte}% + \crefname{enumiv}{Punkt}{Punkte}% + \crefname{enumv}{Punkt}{Punkte}% + \crefname{footnote}{Fu\ss note}{Fu\ss noten}% + \crefname{theorem}{Theorem}{Theoreme}% + \crefname{lemma}{Lemma}{Lemmata}% + \crefname{corollary}{Korollar}{Korollare}% + \crefname{proposition}{Satz}{S\"atze}% + \crefname{definition}{Definition}{Definitionen}% + \crefname{result}{Ergebnis}{Ergebnisse}% + \crefname{example}{Beispiel}{Beispiele}% + \crefname{remark}{Bemerkung}{Bemerkungen}% + \crefname{note}{Anmerkung}{Anmerkungen}% + \crefname{algorithm}{Algorithmus}{Algorithmen}% + \crefname{listing}{Listing}{Listings}% + \crefname{line}{Zeile}{Zeilen}}% end \cref@addlangagedefs +\DeclareOption{ngerman}{% + \ExecuteOptions{german}% + \def\cref@language{ngerman}}% +\cref@addlanguagedefs{ngerman}{% + \PackageInfo{cleveref}{loaded `ngerman' language definitions}% + \renewcommand{\crefrangeconjunction}{ bis\nobreakspace}% + \renewcommand\crefrangepreconjunction{}% + \renewcommand\crefrangepostconjunction{}% + \renewcommand{\crefpairconjunction}{ und\nobreakspace}% + \renewcommand{\crefmiddleconjunction}{, }% + \renewcommand{\creflastconjunction}{ und\nobreakspace}% + \renewcommand{\crefpairgroupconjunction}{ und\nobreakspace}% + \renewcommand{\crefmiddlegroupconjunction}{, }% + \renewcommand{\creflastgroupconjunction}{ und\nobreakspace}% + % + \Crefname{equation}{Gleichung}{Gleichungen}% + \Crefname{figure}{Abbildung}{Abbildungen}% + \Crefname{subfigure}{Abbildung}{Abbildungen}% + \Crefname{table}{Tabelle}{Tabellen}% + \Crefname{subtable}{Tabelle}{Tabellen}% + \Crefname{page}{Seite}{Seiten}% + \Crefname{part}{Teil}{Teile}% + \Crefname{chapter}{Kapitel}{Kapitel}% + \Crefname{section}{Abschnitt}{Abschnitte}% + \Crefname{subsection}{Abschnitt}{Abschnitte}% + \Crefname{subsubsection}{Abschnitt}{Abschnitte}% + \Crefname{appendix}{Anhang}{Anh\"ange}% + \Crefname{subappendix}{Anhang}{Anh\"ange}% + \Crefname{subsubappendix}{Anhang}{Anh\"ange}% + \Crefname{subsubsubappendix}{Anhang}{Anh\"ange}% + \Crefname{enumi}{Punkt}{Punkte}% + \Crefname{enumii}{Punkt}{Punkte}% + \Crefname{enumiii}{Punkt}{Punkte}% + \Crefname{enumiv}{Punkt}{Punkte}% + \Crefname{enumv}{Punkt}{Punkte}% + \Crefname{footnote}{Fu\ss note}{Fu\ss noten}% + \Crefname{theorem}{Theorem}{Theoreme}% + \Crefname{lemma}{Lemma}{Lemmata}% + \Crefname{corollary}{Korollar}{Korollare}% + \Crefname{proposition}{Satz}{S\"atze}% + \Crefname{definition}{Definition}{Definitionen}% + \Crefname{result}{Ergebnis}{Ergebnisse}% + \Crefname{example}{Beispiel}{Beispiele}% + \Crefname{remark}{Bemerkung}{Bemerkungen}% + \Crefname{note}{Anmerkung}{Anmerkungen}% + \Crefname{algorithm}{Algorithmus}{Algorithmen}% + \Crefname{listing}{Listing}{Listings}% + \Crefname{line}{Zeile}{Zeilen}% + % + \if@cref@abbrev% + \crefname{figure}{Abb.}{Abb.}% + \crefname{subfigure}{Abb.}{Abb.}% + \else% + \crefname{figure}{Abbildung}{Abbildungen}% + \crefname{subfigure}{Abbildung}{Abbildungen}% + \fi% + \crefname{equation}{Gleichung}{Gleichungen}% + \crefname{table}{Tabelle}{Tabellen}% + \crefname{subtable}{Tabelle}{Tabellen}% + \crefname{page}{Seite}{Seiten}% + \crefname{part}{Teil}{Teile}% + \crefname{chapter}{Kapitel}{Kapitel}% + \crefname{section}{Abschnitt}{Abschnitte}% + \crefname{subsection}{Abschnitt}{Abschnitte}% + \crefname{subsubsection}{Abschnitt}{Abschnitte}% + \crefname{appendix}{Anhang}{Anh\"ange}% + \crefname{subappendix}{Anhang}{Anh\"ange}% + \crefname{subsubappendix}{Anhang}{Anh\"ange}% + \crefname{subsubsubappendix}{Anhang}{Anh\"ange}% + \crefname{enumi}{Punkt}{Punkte}% + \crefname{enumii}{Punkt}{Punkte}% + \crefname{enumiii}{Punkt}{Punkte}% + \crefname{enumiv}{Punkt}{Punkte}% + \crefname{enumv}{Punkt}{Punkte}% + \crefname{footnote}{Fu\ss note}{Fu\ss noten}% + \crefname{theorem}{Theorem}{Theoreme}% + \crefname{lemma}{Lemma}{Lemmata}% + \crefname{corollary}{Korollar}{Korollare}% + \crefname{proposition}{Satz}{S\"atze}% + \crefname{definition}{Definition}{Definitionen}% + \crefname{result}{Ergebnis}{Ergebnisse}% + \crefname{example}{Beispiel}{Beispiele}% + \crefname{remark}{Bemerkung}{Bemerkungen}% + \crefname{note}{Anmerkung}{Anmerkungen}% + \crefname{algorithm}{Algorithmus}{Algorithmen}% + \crefname{listing}{Listing}{Listings}% + \crefname{line}{Zeile}{Zeilen}}% end \cref@addlangagedefs +\DeclareOption{dutch}{% + \AtBeginDocument{% + \def\crefrangeconjunction@preamble{ tot\nobreakspace}% + \def\crefrangepreconjunction@preamble{}% + \def\crefrangepostconjunction@preamble{}% + \def\crefpairconjunction@preamble{ en\nobreakspace}% + \def\crefmiddleconjunction@preamble{, }% + \def\creflastconjunction@preamble{ en\nobreakspace}% + \def\crefpairgroupconjunction@preamble{ en\nobreakspace}% + \def\crefmiddlegroupconjunction@preamble{, }% + \def\creflastgroupconjunction@preamble{ en\nobreakspace}% + % + \Crefname@preamble{equation}{Vergel\ij{}king}{Vergel\ij{}kingen}% + \Crefname@preamble{figure}{Figuur}{Figuren}% + \Crefname@preamble{table}{Tabel}{Tabellen}% + \Crefname@preamble{page}{Pagina}{Pagina's}% + \Crefname@preamble{part}{Deel}{Delen}% + \Crefname@preamble{chapter}{Hoofdstuk}{Hoofdstuken}% + \Crefname@preamble{section}{Paragraaf}{Paragrafen}% + \Crefname@preamble{appendix}{Appendix}{Appendices}% + \Crefname@preamble{enumi}{Punt}{Punten}% + \Crefname@preamble{footnote}{Voetnote}{Voetnoten}% + \Crefname@preamble{lemma}{Lemma}{Lemma's}% + \Crefname@preamble{corollary}{Corollarium}{Corollaria}% + \Crefname@preamble{proposition}{Bewering}{Beweringen}% + \Crefname@preamble{definition}{Definitie}{Definities}% + \Crefname@preamble{result}{Resultaat}{Resultaten}% + \Crefname@preamble{example}{Voorbeeld}{Voorbeelden}% + \Crefname@preamble{remark}{Opmerking}{Opmerkingen}% + \Crefname@preamble{note}{Aantekening}{Aantekeningen}% + \Crefname@preamble{algorithm}{Algoritme}{Algoritmen}% + \Crefname@preamble{listing}{Listing}{Listings}% + \Crefname@preamble{line}{Lijn}{Lijnen}% + % + \if@cref@capitalise% capitalise set + \if@cref@abbrev% + \crefname@preamble{equation}{Verg.}{Verg's.}% + \crefname@preamble{figure}{Fig.}{Fig's.}% + \else% + \crefname@preamble{equation}{Vergel\ij{}king}{Vergel\ij{}kingen}% + \crefname@preamble{figure}{Figuur}{Figuren}% + \fi% + \crefname@preamble{page}{Pagina}{Pagina's}% + \crefname@preamble{table}{Tabel}{Tabellen}% + \crefname@preamble{part}{Deel}{Delen}% + \crefname@preamble{chapter}{Hoofdstuk}{Hoofdstukken}% + \crefname@preamble{section}{Paragraaf}{Paragrafen}% + \crefname@preamble{appendix}{Appendix}{Appendices}% + \crefname@preamble{enumi}{Punt}{Punten}% + \crefname@preamble{footnote}{Voetnote}{Voetnoten}% + \crefname@preamble{theorem}{Theorema}{Theorema's}% + \crefname@preamble{lemma}{Lemma}{Lemma's}% + \crefname@preamble{corollary}{Corollarium}{Corollaria}% + \crefname@preamble{proposition}{Bewering}{Beweringen}% + \crefname@preamble{definition}{Definitie}{Definities}% + \crefname@preamble{result}{Resultaat}{Resultaten}% + \crefname@preamble{example}{Voorbeeld}{Voorbeelden}% + \crefname@preamble{remark}{Opmerking}{Opmerkingen}% + \crefname@preamble{note}{Aantekening}{Aantekeningen}% + \crefname@preamble{algorithm}{Algoritme}{Algoritmen}% + \crefname@preamble{listing}{Listing}{Listings}% + \crefname@preamble{line}{Lijn}{Lijnen}% + % + \else% capitalise unset + \if@cref@abbrev% + \crefname@preamble{equation}{verg.}{verg's.}% + \crefname@preamble{figure}{fig.}{fig's.}% + \else% + \crefname@preamble{equation}{vergel\ij{}king}{vergel\ij{}kingen}% + \crefname@preamble{figure}{figuur}{figuren}% + \fi% + \crefname@preamble{page}{pagina}{pagina's}% + \crefname@preamble{table}{tabel}{tabellen}% + \crefname@preamble{part}{deel}{delen}% + \crefname@preamble{chapter}{hoofdstuk}{hoofdstukken}% + \crefname@preamble{section}{paragraaf}{paragrafen}% + \crefname@preamble{appendix}{appendix}{appendices}% + \crefname@preamble{enumi}{punt}{punten}% + \crefname@preamble{footnote}{voetnote}{voetnoten}% + \crefname@preamble{theorem}{theorema}{theorema's}% + \crefname@preamble{lemma}{lemma}{lemma's}% + \crefname@preamble{corollary}{corollarium}{corollaria}% + \crefname@preamble{proposition}{bewering}{beweringen}% + \crefname@preamble{definition}{definitie}{definities}% + \crefname@preamble{result}{resultaat}{resultaten}% + \crefname@preamble{example}{voorbeeld}{voorbeelden}% + \crefname@preamble{remark}{opmerking}{opmerkingen}% + \crefname@preamble{note}{aantekening}{aantekeningen}% + \crefname@preamble{algorithm}{algoritme}{algoritmen}% + \crefname@preamble{listing}{listing}{listings}% + \crefname@preamble{line}{lijn}{lijnen}% + \fi% + \def\cref@language{dutch}% + }}% end \DeclareOption and \AtBeginDocument +\cref@addlanguagedefs{dutch}{% + \PackageInfo{cleveref}{loaded `dutch' language definitions}% + \renewcommand{\crefrangeconjunction}{ tot\nobreakspace}% + \renewcommand\crefrangepreconjunction{}% + \renewcommand\crefrangepostconjunction{}% + \renewcommand{\crefpairconjunction}{ en\nobreakspace}% + \renewcommand{\crefmiddleconjunction}{, }% + \renewcommand{\creflastconjunction}{ en\nobreakspace}% + \renewcommand{\crefpairgroupconjunction}{ en\nobreakspace}% + \renewcommand{\crefmiddlegroupconjunction}{, }% + \renewcommand{\creflastgroupconjunction}{ en\nobreakspace}% + % + \Crefname{equation}{Vergel\ij{}king}{Vergel\ij{}kingen}% + \Crefname{figure}{Figuur}{Figuren}% + \Crefname{subfigure}{Figuur}{Figuren}% + \Crefname{table}{Tabel}{Tabellen}% + \Crefname{subtable}{Tabel}{Tabellen}% + \Crefname{page}{Pagina}{Pagina's}% + \Crefname{part}{Deel}{Delen}% + \Crefname{chapter}{Hoofdstuk}{Hoofdstuken}% + \Crefname{section}{Paragraaf}{Paragrafen}% + \Crefname{subsection}{Paragraaf}{Paragrafen}% + \Crefname{subsubsection}{Paragraaf}{Paragrafen}% + \Crefname{appendix}{Appendix}{Appendices}% + \Crefname{subappendix}{Appendix}{Appendices}% + \Crefname{subsubappendix}{Appendix}{Appendices}% + \Crefname{subsubsubappendix}{Appendix}{Appendices}% + \Crefname{enumi}{Punt}{Punten}% + \Crefname{enumii}{Punt}{Punten}% + \Crefname{enumiii}{Punt}{Punten}% + \Crefname{enumiv}{Punt}{Punten}% + \Crefname{enumv}{Punt}{Punten}% + \Crefname{footnote}{Voetnote}{Voetnoten}% + \Crefname{theorem}{Theorema}{Theorema's}% + \Crefname{lemma}{Lemma}{Lemma's}% + \Crefname{corollary}{Corollarium}{Corollaria}% + \Crefname{proposition}{Bewering}{Beweringen}% + \Crefname{definition}{Definitie}{Definities}% + \Crefname{result}{Resultaat}{Resultaten}% + \Crefname{example}{Voorbeeld}{Voorbeelden}% + \Crefname{remark}{Opmerking}{Opmerkingen}% + \Crefname{note}{Aantekening}{Aantekeningen}% + \Crefname{algorithm}{Algoritme}{Algoritmen}% + \Crefname{listing}{Listing}{Listings}% + \Crefname{line}{Lijn}{Lijnen}% + % + \if@cref@capitalise% capitalise set + \if@cref@abbrev% + \crefname{equation}{Verg.}{Verg's.}% + \crefname{figure}{Fig.}{Fig's.}% + \crefname{subfigure}{Fig.}{Fig's.}% + \else% + \crefname{equation}{Vergel\ij{}king}{Vergel\ij{}kingen}% + \crefname{figure}{Figuur}{Figuren}% + \crefname{subfigure}{Figuur}{Figuren}% + \fi% + \crefname{table}{Tabel}{Tabellen}% + \crefname{subtable}{Tabel}{Tabellen}% + \crefname{page}{Pagina}{Pagina's}% + \crefname{part}{Deel}{Delen}% + \crefname{chapter}{Hoofdstuk}{Hoofdstukken}% + \crefname{section}{Paragraaf}{Paragrafen}% + \crefname{appendix}{Appendix}{Appendices}% + \crefname{enumi}{Punt}{Punten}% + \crefname{footnote}{Voetnote}{Voetnoten}% + \crefname{theorem}{Theorema}{Theorema's}% + \crefname{lemma}{Lemma}{Lemma's}% + \crefname{corollary}{Corollarium}{Corollaria}% + \crefname{proposition}{Bewering}{Beweringen}% + \crefname{definition}{Definitie}{Definities}% + \crefname{result}{Resultaat}{Resultaten}% + \crefname{example}{Voorbeeld}{Voorbeelden}% + \crefname{remark}{Opmerking}{Opmerkingen}% + \crefname{note}{Aantekening}{Aantekeningen}% + \crefname{algorithm}{Algoritme}{Algoritmen}% + \crefname{listing}{Listing}{Listings}% + \crefname{line}{Lijn}{Lijnen}% + % + \else% capitalise unset + \if@cref@abbrev% + \crefname{equation}{verg.}{verg's.}% + \crefname{figure}{fig.}{fig's.}% + \crefname{subfigure}{fig.}{fig's.}% + \else% + \crefname{equation}{vergel\ij{}king}{vergel\ij{}kingen}% + \crefname{figure}{figuur}{figuren}% + \crefname{subfigure}{figuur}{figuren}% + \fi% + \crefname{table}{tabel}{tabellen}% + \crefname{subtable}{tabel}{tabellen}% + \crefname{page}{pagina}{pagina's}% + \crefname{part}{deel}{delen}% + \crefname{chapter}{hoofdstuk}{hoofdstukken}% + \crefname{section}{paragraaf}{paragrafen}% + \crefname{appendix}{appendix}{appendices}% + \crefname{enumi}{punt}{punten}% + \crefname{footnote}{voetnote}{voetnoten}% + \crefname{theorem}{theorema}{theorema's}% + \crefname{lemma}{lemma}{lemma's}% + \crefname{corollary}{corollarium}{corollaria}% + \crefname{proposition}{bewering}{beweringen}% + \crefname{definition}{definitie}{definities}% + \crefname{result}{resultaat}{resultaten}% + \crefname{example}{voorbeeld}{voorbeelden}% + \crefname{remark}{opmerking}{opmerkingen}% + \crefname{note}{aantekening}{aantekeningen}% + \crefname{algorithm}{algoritme}{algoritmen}% + \crefname{listing}{listing}{listings}% + \crefname{line}{lijn}{lijnen}% + \fi}% end \cref@addlanguagedefs +\DeclareOption{french}{% + \AtBeginDocument{% + \def\crefrangeconjunction@preamble{ \`a\nobreakspace}% + \def\crefrangepreconjunction@preamble{}% + \def\crefrangepostconjunction@preamble{}% + \def\crefpairconjunction@preamble{ et\nobreakspace}% + \def\crefmiddleconjunction@preamble{, }% + \def\creflastconjunction@preamble{ et\nobreakspace}% + \def\crefpairgroupconjunction@preamble{ et\nobreakspace}% + \def\crefmiddlegroupconjunction@preamble{, }% + \def\creflastgroupconjunction@preamble{, et\nobreakspace}% + % + \Crefname@preamble{equation}{{\'E}quation}{{\'E}quations}% + \Crefname@preamble{figure}{Figure}{Figures}% + \Crefname@preamble{table}{Tableau}{Tableaux}% + \Crefname@preamble{page}{Page}{Pages}% + \Crefname@preamble{part}{Partie}{Parties}% + \Crefname@preamble{chapter}{Chapitre}{Chapitres}% + \Crefname@preamble{section}{Section}{Sections}% + \Crefname@preamble{appendix}{Annexe}{Annexes}% + \Crefname@preamble{enumi}{Point}{Points}% + \Crefname@preamble{footnote}{Note}{Notes}% + \Crefname@preamble{theorem}{Th\'eor\`eme}{Th\'eor\`emes}% + \Crefname@preamble{lemma}{Lemme}{Lemmes}% + \Crefname@preamble{corollary}{Corollaire}{Corollaires}% + \Crefname@preamble{proposition}{Proposition}{Propositions}% + \Crefname@preamble{definition}{D\'efinition}{D\'efinitions}% + \Crefname@preamble{result}{R\'esultat}{R\'esultats}% + \Crefname@preamble{example}{Exemple}{Exemples}% + \Crefname@preamble{remark}{Remarque}{Remarques}% + \Crefname@preamble{algorithm}{Algorithme}{Algorithmes}% + \Crefname@preamble{listing}{Liste}{Listes}% + \Crefname@preamble{line}{Ligne}{Lignes}% + % + \if@cref@capitalise% capitalise set + \crefname@preamble{equation}{{\'E}quation}{{\'E}quations}% + \crefname@preamble{figure}{Figure}{Figures}% + \crefname@preamble{table}{Tableau}{Tableaux}% + \crefname@preamble{page}{Page}{Pages}% + \crefname@preamble{part}{Partie}{Parties}% + \crefname@preamble{chapter}{Chapitre}{Chapitres}% + \crefname@preamble{section}{Section}{Sections}% + \crefname@preamble{appendix}{Annexe}{Annexes}% + \crefname@preamble{enumi}{Point}{Points}% + \crefname@preamble{footnote}{Note}{Notes}% + \crefname@preamble{theorem}{Th\'eor\`eme}{Th\'eor\`emes}% + \crefname@preamble{lemma}{Lemme}{Lemmes}% + \crefname@preamble{corollary}{Corollaire}{Corollaires}% + \crefname@preamble{proposition}{Proposition}{Propositions}% + \crefname@preamble{definition}{D\'efinition}{D\'efinitions}% + \crefname@preamble{result}{R\'esultat}{R\'esultats}% + \crefname@preamble{example}{Exemple}{Exemples}% + \crefname@preamble{remark}{Remarque}{Remarques}% + \crefname@preamble{note}{Commentaire}{Commentaires}% + \crefname@preamble{algorithm}{Algorithme}{Algorithmes}% + \crefname@preamble{listing}{Liste}{Listes}% + \crefname@preamble{line}{Ligne}{Lignes}% + % + \else% capitalise unset + \crefname@preamble{equation}{{\'e}quation}{{\'e}quations}% + \crefname@preamble{figure}{figure}{figures}% + \crefname@preamble{table}{tableau}{tableaux}% + \crefname@preamble{page}{page}{pages}% + \crefname@preamble{part}{partie}{parties}% + \crefname@preamble{chapter}{chapitre}{chapitres}% + \crefname@preamble{section}{section}{sections}% + \crefname@preamble{appendix}{annexe}{annexes}% + \crefname@preamble{enumi}{point}{points}% + \crefname@preamble{footnote}{note}{notes}% + \crefname@preamble{theorem}{th\'eor\`eme}{th\'eor\`emes}% + \crefname@preamble{lemma}{lemme}{lemmes}% + \crefname@preamble{corollary}{corollaire}{corollaires}% + \crefname@preamble{proposition}{proposition}{propositions}% + \crefname@preamble{definition}{d\'efinition}{d\'efinitions}% + \crefname@preamble{result}{r\'esultat}{r\'esultats}% + \crefname@preamble{example}{exemple}{exemples}% + \crefname@preamble{remark}{remarque}{remarques}% + \crefname@preamble{note}{commentaire}{commentaires}% + \crefname@preamble{algorithm}{algorithme}{algorithmes}% + \crefname@preamble{listing}{liste}{listes}% + \crefname@preamble{line}{ligne}{lignes}% + \fi% + \def\cref@language{french}% + }}% end \DeclareOption and \AtBeginDocument +\cref@addlanguagedefs{french}{% + \PackageInfo{cleveref}{loaded `french' language definitions}% + \renewcommand{\crefrangeconjunction}{ \`a\nobreakspace}% + \renewcommand\crefrangepreconjunction{}% + \renewcommand\crefrangepostconjunction{}% + \renewcommand{\crefpairconjunction}{ et\nobreakspace}% + \renewcommand{\crefmiddleconjunction}{, }% + \renewcommand{\creflastconjunction}{ et\nobreakspace}% + \renewcommand{\crefpairgroupconjunction}{ et\nobreakspace}% + \renewcommand{\crefmiddlegroupconjunction}{, }% + \renewcommand{\creflastgroupconjunction}{ et\nobreakspace}% + % + \Crefname{equation}{{\'E}quation}{{\'E}quations}% + \Crefname{figure}{Figure}{Figures}% + \Crefname{subfigure}{Figure}{Figures}% + \Crefname{table}{Tableau}{Tableaux}% + \Crefname{subtable}{Tableau}{Tableaux}% + \Crefname{page}{Page}{Pages}% + \Crefname{part}{Partie}{Parties}% + \Crefname{chapter}{Chapitre}{Chapitres}% + \Crefname{section}{Section}{Sections}% + \Crefname{subsection}{Section}{Sections}% + \Crefname{subsubsection}{Section}{Sections}% + \Crefname{appendix}{Annexe}{Annexes}% + \Crefname{subappendix}{Annexe}{Annexes}% + \Crefname{subsubappendix}{Annexe}{Annexes}% + \Crefname{subsubsubappendix}{Annexe}{Annexes}% + \Crefname{enumi}{Point}{Points}% + \Crefname{enumii}{Point}{Points}% + \Crefname{enumiii}{Point}{Points}% + \Crefname{enumiv}{Point}{Points}% + \Crefname{enumv}{Point}{Points}% + \Crefname{footnote}{Note}{Notes}% + \Crefname{theorem}{Th\'eor\`eme}{Th\'eor\`emes}% + \Crefname{lemma}{Lemme}{Lemmes}% + \Crefname{corollary}{Corollaire}{Corollaires}% + \Crefname{proposition}{Proposition}{Propositions}% + \Crefname{definition}{D\'efinition}{D\'efinitions}% + \Crefname{result}{R\'esultat}{R\'esultats}% + \Crefname{example}{Exemple}{Exemples}% + \Crefname{remark}{Remarque}{Remarques}% + \Crefname{note}{Commentaire}{Commentaires}% + \Crefname{algorithm}{Algorithme}{Algorithmes}% + \Crefname{listing}{Liste}{Listes}% + \Crefname{line}{Ligne}{Lignes}% + % + \if@cref@capitalise% capitalise set + \crefname{equation}{{\'E}quation}{{\'E}quations}% + \crefname{figure}{Figure}{Figures}% + \crefname{subfigure}{Figure}{Figures}% + \crefname{table}{Tableau}{Tableaux}% + \crefname{subtable}{Tableau}{Tableaux}% + \crefname{page}{Page}{Pages}% + \crefname{part}{Partie}{Parties}% + \crefname{chapter}{Chapitre}{Chapitres}% + \crefname{section}{Section}{Sections}% + \crefname{subsection}{Section}{Sections}% + \crefname{subsubsection}{Section}{Sections}% + \crefname{appendix}{Annexe}{Annexes}% + \crefname{subappendix}{Annexe}{Annexes}% + \crefname{subsubappendix}{Annexe}{Annexes}% + \crefname{subsubsubappendix}{Annexe}{Annexes}% + \crefname{enumi}{Point}{Points}% + \crefname{enumii}{Point}{Points}% + \crefname{enumiii}{Point}{Points}% + \crefname{enumiv}{Point}{Points}% + \crefname{enumv}{Point}{Points}% + \crefname{footnote}{Note}{Notes}% + \crefname{theorem}{Th\'eor\`eme}{Th\'eor\`emes}% + \crefname{lemma}{Lemme}{Lemmes}% + \crefname{corollary}{Corollaire}{Corollaires}% + \crefname{proposition}{Proposition}{Propositions}% + \crefname{definition}{D\'efinition}{D\'efinitions}% + \crefname{result}{R\'esultat}{R\'esultats}% + \crefname{example}{Exemple}{Exemples}% + \crefname{remark}{Remarque}{Remarques}% + \crefname{note}{Commentaire}{Commentaires}% + \crefname{algorithm}{Algorithme}{Algorithmes}% + \crefname{listing}{Liste}{Listes}% + \crefname{line}{Ligne}{Lignes}% + % + \else% capitalise unset + \crefname{equation}{{\'e}quation}{{\'e}quations}% + \crefname{figure}{figure}{figures}% + \crefname{subfigure}{figure}{figures}% + \crefname{table}{tableau}{tableaux}% + \crefname{subtable}{tableau}{tableaux}% + \crefname{page}{page}{pages}% + \crefname{part}{partie}{parties}% + \crefname{chapter}{chapitre}{chapitres}% + \crefname{section}{section}{sections}% + \crefname{subsection}{section}{sections}% + \crefname{subsubsection}{section}{sections}% + \crefname{appendix}{annexe}{annexes}% + \crefname{subappendix}{annexe}{annexes}% + \crefname{subsubappendix}{annexe}{annexes}% + \crefname{subsubsubappendix}{annexe}{annexes}% + \crefname{enumi}{point}{points}% + \crefname{enumii}{point}{points}% + \crefname{enumiii}{point}{points}% + \crefname{enumiv}{point}{points}% + \crefname{enumv}{point}{points}% + \crefname{footnote}{note}{notes}% + \crefname{theorem}{th\'eor\`eme}{th\'eor\`emes}% + \crefname{lemma}{lemme}{lemmes}% + \crefname{corollary}{corollaire}{corollaires}% + \crefname{proposition}{proposition}{propositions}% + \crefname{definition}{d\'efinition}{d\'efinitions}% + \crefname{result}{r\'esultat}{r\'esultats}% + \crefname{example}{exemple}{exemples}% + \crefname{remark}{remarque}{remarques}% + \crefname{note}{commentaire}{commentaires}% + \crefname{algorithm}{algorithme}{algorithmes}% + \crefname{listing}{liste}{listes}% + \crefname{line}{ligne}{lignes}% + \fi}% end \cref@loadlanguagedefs +\DeclareOption{spanish}{% + \AtBeginDocument{% + \def\crefrangeconjunction@preamble{ a\nobreakspace}% + \def\crefrangepreconjunction@preamble{}% + \def\crefrangepostconjunction@preamble{}% + \def\crefpairconjunction@preamble{ y\nobreakspace}% + \def\crefmiddleconjunction@preamble{, }% + \def\creflastconjunction@preamble{ y\nobreakspace}% + \def\crefpairgroupconjunction@preamble{ y\nobreakspace}% + \def\crefmiddlegroupconjunction@preamble{, }% + \def\creflastgroupconjunction@preamble{ y\nobreakspace}% + % + \Crefname@preamble{equation}{Ecuaci\'on}{Ecuaciones}% + \Crefname@preamble{figure}{Figura}{Figuras}% + \Crefname@preamble{table}{Cuadro}{Cuadros}% + \Crefname@preamble{page}{P\'agina}{P\'aginas}% + \Crefname@preamble{part}{Parte}{Partes}% + \Crefname@preamble{chapter}{Cap\'itulo}{Cap\'itulos}% + \Crefname@preamble{section}{Apartado}{Apartados}% + \Crefname@preamble{appendix}{Ap\'endice}{Ap\'endices}% + \Crefname@preamble{enumi}{Punto}{Puntos}% + \Crefname@preamble{footnote}{Nota}{Notas}% + \Crefname@preamble{theorem}{Teorema}{Teoremas}% + \Crefname@preamble{lemma}{Lema}{Lemas}% + \Crefname@preamble{corollary}{Corolario}{Corolarios}% + \Crefname@preamble{proposition}{Proposici\'on}{Proposiciones}% + \Crefname@preamble{definition}{Definici\'on}{Definiciones}% + \Crefname@preamble{result}{Resultado}{Resultados}% + \Crefname@preamble{example}{Ejemplo}{Ejemplos}% + \Crefname@preamble{remark}{Observaci\'on}{Observaciones}% + \Crefname@preamble{note}{Nota}{Notas}% + \Crefname@preamble{algorithm}{Algoritmo}{Algoritmos}% + \Crefname@preamble{listing}{Listado}{Listados}% + \Crefname@preamble{line}{L\'inea}{L\'ineas}% + % + \if@cref@capitalise% capitalise set + \crefname@preamble{equation}{Ecuaci\'on}{Ecuaciones}% + \crefname@preamble{figure}{Figura}{Figuras}% + \crefname@preamble{table}{Cuadro}{Cuadros}% + \crefname@preamble{page}{P\'agina}{P\'aginas}% + \crefname@preamble{part}{Parte}{Partes}% + \crefname@preamble{chapter}{Cap\'itulo}{Cap\'itulos}% + \crefname@preamble{section}{Apartado}{Apartados}% + \crefname@preamble{appendix}{Ap\'endice}{Ap\'endices}% + \crefname@preamble{enumi}{Punto}{Puntos}% + \crefname@preamble{footnote}{Nota}{Notas}% + \crefname@preamble{theorem}{Teorema}{Teoremas}% + \crefname@preamble{lemma}{Lema}{Lemas}% + \crefname@preamble{corollary}{Corolario}{Corolarios}% + \crefname@preamble{proposition}{Proposici\'on}{Proposiciones}% + \crefname@preamble{definition}{Definici\'on}{Definiciones}% + \crefname@preamble{result}{Resultado}{Resultados}% + \crefname@preamble{example}{Ejemplo}{Ejemplos}% + \crefname@preamble{remark}{Observaci\'on}{Observaciones}% + \crefname@preamble{note}{Nota}{Notas}% + \crefname@preamble{algorithm}{Algoritmo}{Algoritmos}% + \crefname@preamble{listing}{Listado}{Listados}% + \crefname@preamble{line}{L\'inea}{L\'ineas}% + % + \else% capitalise unset + \crefname@preamble{equation}{ecuaci\'on}{ecuaciones}% + \crefname@preamble{figure}{figura}{figuras}% + \crefname@preamble{table}{cuadro}{cuadros}% + \crefname@preamble{page}{p\'agina}{p\'aginas}% + \crefname@preamble{part}{parte}{partes}% + \crefname@preamble{chapter}{cap\'itulo}{cap\'itulos}% + \crefname@preamble{section}{apartado}{apartados}% + \crefname@preamble{appendix}{ap\'endice}{ap\'endices}% + \crefname@preamble{enumi}{punto}{puntos}% + \crefname@preamble{footnote}{nota}{notas}% + \crefname@preamble{theorem}{teorema}{teoremas}% + \crefname@preamble{lemma}{lema}{lemas}% + \crefname@preamble{corollary}{corolario}{corolarios}% + \crefname@preamble{proposition}{proposici\'on}{proposiciones}% + \crefname@preamble{definition}{definici\'on}{definiciones}% + \crefname@preamble{result}{resultado}{resultados}% + \crefname@preamble{example}{ejemplo}{ejemplos}% + \crefname@preamble{remark}{observaci\'on}{observaciones}% + \crefname@preamble{note}{nota}{notas}% + \crefname@preamble{algorithm}{algoritmo}{algoritmos}% + \crefname@preamble{listing}{listado}{listados}% + \crefname@preamble{line}{l\'inea}{l\'ineas}% + \fi% + \def\cref@language{spanish}% + }}% end \DeclareOption and \AtBeginDocument +\cref@addlanguagedefs{spanish}{% + \PackageInfo{cleveref}{loaded `spanish' language definitions}% + \renewcommand{\crefrangeconjunction}{ a\nobreakspace}% + \renewcommand{\crefrangepreconjunction}{}% + \renewcommand{\crefrangepostconjunction}{}% + \renewcommand{\crefpairconjunction}{ y\nobreakspace}% + \renewcommand{\crefmiddleconjunction}{, }% + \renewcommand{\creflastconjunction}{ y\nobreakspace}% + \renewcommand{\crefpairgroupconjunction}{ y\nobreakspace}% + \renewcommand{\crefmiddlegroupconjunction}{, }% + \renewcommand{\creflastgroupconjunction}{ y\nobreakspace}% + % + \Crefname{equation}{Ecuaci\'on}{Ecuaciones}% + \Crefname{figure}{Figura}{Figuras}% + \Crefname{subfigure}{Figura}{Figuras}% + \Crefname{table}{Cuadro}{Cuadros}% + \Crefname{subtable}{Cuadro}{Cuadros}% + \Crefname{page}{P\'agina}{P\'aginas}% + \Crefname{part}{Parte}{Partes}% + \Crefname{chapter}{Cap\'itulo}{Cap\'itulos}% + \Crefname{section}{Apartado}{Apartados}% + \Crefname{subsection}{Apartado}{Apartados}% + \Crefname{subsubsection}{Apartado}{Apartados}% + \Crefname{appendix}{Ap\'endice}{Ap\'endices}% + \Crefname{subappendix}{Ap\'endice}{Ap\'endices}% + \Crefname{subsubappendix}{Ap\'endice}{Ap\'endices}% + \Crefname{subsubsubappendix}{Ap\'endice}{Ap\'endices}% + \Crefname{enumi}{Punto}{Puntos}% + \Crefname{enumii}{Punto}{Puntos}% + \Crefname{enumiii}{Punto}{Puntos}% + \Crefname{enumiv}{Punto}{Puntos}% + \Crefname{enumv}{Punto}{Puntos}% + \Crefname{footnote}{Nota}{Notas}% + \Crefname{theorem}{Teorema}{Teoremas}% + \Crefname{lemma}{Lema}{Lemas}% + \Crefname{corollary}{Corolario}{Corolarios}% + \Crefname{proposition}{Proposici\'on}{Proposiciones}% + \Crefname{definition}{Definici\'on}{Definiciones}% + \Crefname{result}{Resultado}{Resultados}% + \Crefname{example}{Ejemplo}{Ejemplos}% + \Crefname{remark}{Observaci\'on}{Observaci\'on}% + \Crefname{note}{Nota}{Notas}% + \Crefname{algorithm}{Algoritmo}{Algoritmos}% + \Crefname{listing}{Listado}{Listados}% + \Crefname{line}{L\'inea}{L\'ineas}% + % + \if@cref@capitalise% capitalise set + \crefname{equation}{Ecuaci\'on}{Ecuaciones}% + \crefname{figure}{Figura}{Figuras}% + \crefname{subfigure}{Figura}{Figuras}% + \crefname{table}{Cuadro}{Cuadros}% + \crefname{subtable}{Cuadro}{Cuadros}% + \crefname{page}{P\'agina}{P\'aginas}% + \crefname{part}{Parte}{Partes}% + \crefname{chapter}{Cap\'itulo}{Cap\'itulos}% + \crefname{section}{Apartado}{Apartados}% + \crefname{subsection}{Apartado}{Apartados}% + \crefname{subsubsection}{Apartado}{Apartados}% + \crefname{appendix}{Ap\'endice}{Ap\'endices}% + \crefname{subappendix}{Ap\'endice}{Ap\'endices}% + \crefname{subsubappendix}{Ap\'endice}{Ap\'endices}% + \crefname{subsubsubappendix}{Ap\'endice}{Ap\'endices}% + \crefname{enumi}{Punto}{Puntos}% + \crefname{enumii}{Punto}{Puntos}% + \crefname{enumiii}{Punto}{Puntos}% + \crefname{enumiv}{Punto}{Puntos}% + \crefname{enumv}{Punto}{Puntos}% + \crefname{footnote}{Nota}{Notas}% + \crefname{theorem}{Teorema}{Teoremas}% + \crefname{lemma}{Lema}{Lemas}% + \crefname{corollary}{Corolario}{Corolarios}% + \crefname{proposition}{Proposici\'on}{Proposiciones}% + \crefname{definition}{Definici\'on}{Definiciones}% + \crefname{result}{Resultado}{Resultados}% + \crefname{example}{Ejemplo}{Ejemplos}% + \crefname{remark}{Observaci\'on}{Observaci\'ones}% + \crefname{note}{Nota}{Notas}% + \crefname{algorithm}{Algoritmo}{Algoritmos}% + \crefname{listing}{Listado}{Listados}% + \crefname{line}{L\'inea}{L\'ineas}% + % + \else% capitalise unset + \crefname{equation}{ecuaci\'on}{ecuaciones}% + \crefname{figure}{figura}{figuras}% + \crefname{subfigure}{figura}{figuras}% + \crefname{table}{cuadro}{cuadros}% + \crefname{subtable}{cuadro}{cuadros}% + \crefname{page}{p\'agina}{p\'aginas}% + \crefname{part}{parte}{partes}% + \crefname{chapter}{cap\'itulo}{cap\'itulos}% + \crefname{section}{apartado}{apartados}% + \crefname{subsection}{apartado}{apartados}% + \crefname{subsubsection}{apartado}{apartados}% + \crefname{appendix}{ap\'endice}{ap\'endices}% + \crefname{subappendix}{ap\'endice}{ap\'endices}% + \crefname{subsubappendix}{ap\'endice}{ap\'endices}% + \crefname{subsubsubappendix}{ap\'endice}{ap\'endices}% + \crefname{enumi}{punto}{puntos}% + \crefname{enumii}{punto}{puntos}% + \crefname{enumiii}{punto}{puntos}% + \crefname{enumiv}{punto}{puntos}% + \crefname{enumv}{punto}{puntos}% + \crefname{footnote}{nota}{notas}% + \crefname{theorem}{teorema}{teoremas}% + \crefname{lemma}{lema}{lemas}% + \crefname{corollary}{corolario}{corolarios}% + \crefname{proposition}{proposici\'on}{proposiciones}% + \crefname{definition}{definici\'on}{definiciones}% + \crefname{result}{resultado}{resultados}% + \crefname{example}{ejemplo}{ejemplos}% + \crefname{remark}{observaci\'on}{observaci\'ones}% + \crefname{note}{nota}{notas}% + \crefname{algorithm}{algoritmo}{algoritmos}% + \crefname{listing}{listado}{listados}% + \crefname{line}{l\'inea}{l\'ineas}% + \fi}% end \cref@loadlanguagedefs +\DeclareOption{italian}{% + \AtBeginDocument{% + \def\crefrangeconjunction@preamble{ a\nobreakspace}% + \def\crefrangepreconjunction@preamble{da\nobreakspace}% + \def\crefrangepostconjunction@preamble{}% + \def\crefpairconjunction@preamble{ e\nobreakspace}% + \def\crefmiddleconjunction@preamble{, }% + \def\creflastconjunction@preamble{ e\nobreakspace}% + \def\crefpairgroupconjunction@preamble{ e\nobreakspace}% + \def\crefmiddlegroupconjunction@preamble{, }% + \def\creflastgroupconjunction@preamble{ e\nobreakspace}% + % + \Crefname@preamble{equation}{Equazione}{Equazioni}% + \Crefname@preamble{figure}{Figura}{Figure}% + \Crefname@preamble{table}{Tabella}{Tabelle}% + \Crefname@preamble{page}{Pagina}{Pagine}% + \Crefname@preamble{part}{Parte}{Parti}% + \Crefname@preamble{chapter}{Capitolo}{Capitoli}% + \Crefname@preamble{section}{Sezione}{Sezioni}% + \Crefname@preamble{appendix}{Appendice}{Appendici}% + \Crefname@preamble{enumi}{Voce}{Voci}% + \Crefname@preamble{footnote}{Nota}{Note}% + \Crefname@preamble{theorem}{Teorema}{Teoremi}% + \Crefname@preamble{lemma}{Lemma}{Lemmi}% + \Crefname@preamble{corollary}{Corollario}{Corollari}% + \Crefname@preamble{proposition}{Proposizione}{Proposizioni}% + \Crefname@preamble{definition}{Definizioni}{Definizioni}% + \Crefname@preamble{result}{Risultato}{Risultati}% + \Crefname@preamble{example}{esempio}{esempi}% + \Crefname@preamble{remark}{Osservazione}{Osservazioni}% + \Crefname@preamble{note}{Nota}{Note}% + \Crefname@preamble{algorithm}{Algoritmo}{Algoritmi}% + \Crefname@preamble{listing}{Elenco}{Elenchi}% + \Crefname@preamble{line}{Linea}{Linee}% + % + \if@cref@capitalise% capitalise set + \if@cref@abbrev% + \crefname@preamble{equation}{Eq.}{Eq.}% + \crefname@preamble{figure}{Fig.}{Fig.}% + \else% + \crefname@preamble{equation}{Equazione}{Equazioni}% + \crefname@preamble{figure}{Figura}{Figure}% + \fi% + \crefname@preamble{table}{Tabella}{Tabelle}% + \crefname@preamble{page}{Pagina}{Pagine}% + \crefname@preamble{part}{Parte}{Parti}% + \crefname@preamble{chapter}{Capitolo}{Capitoli}% + \crefname@preamble{section}{Sezione}{Sezioni}% + \crefname@preamble{appendix}{Appendice}{Appendici}% + \crefname@preamble{enumi}{Voce}{Voci}% + \crefname@preamble{footnote}{Nota}{Note}% + \crefname@preamble{theorem}{Teorema}{Teoremi}% + \crefname@preamble{lemma}{Lemma}{Lemmi}% + \crefname@preamble{corollary}{Corollario}{Corollari}% + \crefname@preamble{proposition}{Proposizione}{Proposizioni}% + \crefname@preamble{definition}{Definizione}{Definizioni}% + \crefname@preamble{result}{Risultato}{Risultati}% + \crefname@preamble{example}{Esempio}{Esempi}% + \crefname@preamble{remark}{Osservazione}{Osservazioni}% + \crefname@preamble{note}{Nota}{Note}% + \crefname@preamble{algorithm}{Algoritmo}{Algoritmi}% + \crefname@preamble{listing}{Elenco}{Elenchi}% + \crefname@preamble{line}{Linea}{Linee}% + % + \else% capitalise unset + \if@cref@abbrev% + \crefname@preamble{equation}{eq.}{eq.}% + \crefname@preamble{figure}{fig.}{fig.}% + \else% + \crefname@preamble{equation}{equazione}{equazioni}% + \crefname@preamble{figure}{figura}{figure}% + \fi% + \crefname@preamble{table}{tabella}{tabelle}% + \crefname@preamble{page}{pagina}{pagine}% + \crefname@preamble{part}{parte}{parti}% + \crefname@preamble{chapter}{capitolo}{capitoli}% + \crefname@preamble{section}{sezione}{sezioni}% + \crefname@preamble{appendix}{appendice}{appendici}% + \crefname@preamble{enumi}{voce}{voci}% + \crefname@preamble{footnote}{nota}{note}% + \crefname@preamble{theorem}{teorema}{teoremi}% + \crefname@preamble{lemma}{lemma}{lemmi}% + \crefname@preamble{corollary}{corollario}{corollari}% + \crefname@preamble{proposition}{proposizione}{proposizioni}% + \crefname@preamble{definition}{definizione}{definizioni}% + \crefname@preamble{result}{risultato}{risultati}% + \crefname@preamble{example}{esempio}{esempi}% + \crefname@preamble{remark}{osservazione}{osservazioni}% + \crefname@preamble{note}{nota}{note}% + \crefname@preamble{algorithm}{algoritmo}{algoritmi}% + \crefname@preamble{listing}{elenco}{elenchi}% + \crefname@preamble{line}{linea}{linee}% + \fi% + \def\cref@language{italian}% + }}% end \DeclareOption and \AtBeginDocument +\cref@addlanguagedefs{italian}{% + \PackageInfo{cleveref}{loaded `italian' language definitions}% + \renewcommand{\crefrangeconjunction}{ a\nobreakspace}% + \renewcommand\crefrangepreconjunction{da\nobreakspace}% + \renewcommand\crefrangepostconjunction{}% + \renewcommand{\crefpairconjunction}{ e\nobreakspace}% + \renewcommand{\crefmiddleconjunction}{, }% + \renewcommand{\creflastconjunction}{ e\nobreakspace}% + \renewcommand{\crefpairgroupconjunction}{ e\nobreakspace}% + \renewcommand{\crefmiddlegroupconjunction}{, }% + \renewcommand{\creflastgroupconjunction}{ e\nobreakspace}% + % + \Crefname{equation}{Equazione}{Equazioni}% + \Crefname{figure}{Figura}{Figure}% + \Crefname{subfigure}{Figura}{Figure}% + \Crefname{table}{Tabella}{Tabelle}% + \Crefname{subtable}{Tabella}{Tabelle}% + \Crefname{page}{Pagina}{Pagine}% + \Crefname{part}{Parte}{Parti}% + \Crefname{chapter}{Capitolo}{Capitoli}% + \Crefname{section}{Sezione}{Sezioni}% + \Crefname{subsection}{Sezione}{Sezioni}% + \Crefname{subsubsection}{Sezione}{Sezioni}% + \Crefname{appendix}{Appendice}{Appendici}% + \Crefname{subappendix}{Appendice}{Appendici}% + \Crefname{subsubappendix}{Appendice}{Appendici}% + \Crefname{subsubsubappendix}{Appendice}{Appendici}% + \Crefname{enumi}{Voce}{Voci}% + \Crefname{enumii}{Voce}{Voci}% + \Crefname{enumiii}{Voce}{Voci}% + \Crefname{enumiv}{Voce}{Voci}% + \Crefname{enumv}{Voce}{Voci}% + \Crefname{footnote}{Nota}{Note}% + \Crefname{theorem}{Teorema}{Teoremi}% + \Crefname{lemma}{Lemma}{Lemmi}% + \Crefname{corollary}{Corollario}{Corollari}% + \Crefname{proposition}{Proposizione}{Proposizioni}% + \Crefname{definition}{Definizione}{Definizione}% + \Crefname{result}{Risultato}{Risultati}% + \Crefname{example}{esempio}{esempi}% + \Crefname{remark}{Osservazione}{Osservazioni}% + \Crefname{note}{Nota}{Note}% + \Crefname{algorithm}{Algoritmo}{Algoritmi}% + \Crefname{listing}{Elenco}{Elenchi}% + \Crefname{line}{Linea}{Linee}% + % + \if@cref@capitalise% capitalise set + \if@cref@abbrev% + \crefname{equation}{Eq.}{Eq.}% + \crefname{figure}{Fig.}{Fig.}% + \crefname{subfigure}{Fig.}{Fig.}% + \else% + \crefname{equation}{Equazione}{Equazioni}% + \crefname{figure}{Figura}{Figure}% + \crefname{figure}{Figura}{Figure}% + \fi% + \crefname{table}{Tabella}{Tabelle}% + \crefname{page}{Pagina}{Pagine}% + \crefname{subtable}{Tabella}{Tabelle}% + \crefname{part}{Parte}{Parti}% + \crefname{chapter}{Capitolo}{Capitoli}% + \crefname{section}{Sezione}{Sezioni}% + \crefname{subsection}{Sezione}{Sezioni}% + \crefname{subsubsection}{Sezione}{Sezioni}% + \crefname{appendix}{Appendice}{Appendici}% + \crefname{subappendix}{Appendice}{Appendici}% + \crefname{subsubappendix}{Appendice}{Appendici}% + \crefname{subsubsubappendix}{Appendice}{Appendici}% + \crefname{enumi}{Voce}{Voci}% + \crefname{enumii}{Voce}{Voci}% + \crefname{enumiii}{Voce}{Voci}% + \crefname{enumiv}{Voce}{Voci}% + \crefname{enumv}{Voce}{Voci}% + \crefname{footnote}{Nota}{Note}% + \crefname{theorem}{Teorema}{Teoremi}% + \crefname{lemma}{Lemma}{Lemmi}% + \crefname{corollary}{Corollario}{Corollari}% + \crefname{proposition}{Proposizione}{Proposizioni}% + \crefname{definition}{Definizione}{Definizione}% + \crefname{result}{Risultato}{Risultati}% + \crefname{example}{Esempio}{Esempi}% + \crefname{remark}{Osservazione}{Osservazioni}% + \crefname{note}{Nota}{Note}% + \crefname{algorithm}{Algoritmo}{Algoritmi}% + \crefname{listing}{Elenco}{Elenchi}% + \crefname{line}{Linea}{Linee}% + % + \else% capitalise unset + \if@cref@abbrev% + \crefname{equation}{eq.}{eq.}% + \crefname{figure}{fig.}{fig.}% + \crefname{subfigure}{fig.}{fig.}% + \else% + \crefname{equation}{equazione}{equazioni}% + \crefname{figure}{figura}{figure}% + \crefname{figure}{figura}{figure}% + \fi% + \crefname{table}{tabella}{tabelle}% + \crefname{page}{pagina}{pagine}% + \crefname{subtable}{tabella}{tabelle}% + \crefname{part}{parte}{parti}% + \crefname{chapter}{capitolo}{capitoli}% + \crefname{section}{sezione}{sezioni}% + \crefname{subsection}{sezione}{sezioni}% + \crefname{subsubsection}{sezione}{sezioni}% + \crefname{appendix}{appendice}{appendici}% + \crefname{subappendix}{appendice}{appendici}% + \crefname{subsubappendix}{appendice}{appendici}% + \crefname{subsubsubappendix}{appendice}{appendici}% + \crefname{enumi}{voce}{voci}% + \crefname{enumii}{voce}{voci}% + \crefname{enumiii}{voce}{voci}% + \crefname{enumiv}{voce}{voci}% + \crefname{enumv}{voce}{voci}% + \crefname{footnote}{nota}{note}% + \crefname{theorem}{teorema}{teoremi}% + \crefname{lemma}{lemma}{lemmi}% + \crefname{corollary}{corollario}{corollari}% + \crefname{proposition}{proposizione}{proposizioni}% + \crefname{definition}{definizione}{definizione}% + \crefname{result}{risultato}{risultati}% + \crefname{example}{esempio}{esempi}% + \crefname{remark}{osservazione}{osservazioni}% + \crefname{note}{nota}{note}% + \crefname{algorithm}{algoritmo}{algoritmi}% + \crefname{listing}{elenco}{elenchi}% + \crefname{line}{linea}{linee}% + \fi}% end \cref@loadlanguagedefs +\DeclareOption{russian}{% + \AtBeginDocument{% + \def\crefrangeconjunction@preamble{--}% + \def\crefrangepreconjunction@preamble{}% + \def\crefrangepostconjunction@preamble{}% + \def\crefpairconjunction@preamble{ \cyri\nobreakspace}% + \def\crefmiddleconjunction@preamble{, }% + \def\creflastconjunction@preamble{ \cyri\nobreakspace}% + \def\crefpairgroupconjunction@preamble{ \cyri\nobreakspace}% + \def\crefmiddlegroupconjunction@preamble{, }% + \def\creflastgroupconjunction@preamble% + {, \cyra\ \cyrt\cyra\cyrk\cyrzh\cyre\nobreakspace}% + % + \Crefname@preamble{equation}% + {\CYRF\cyro\cyrr\cyrm\cyru\cyrl\cyra}% + {\CYRF\cyro\cyrr\cyrm\cyru\cyrl\cyrery}% + \Crefname@preamble{figure}% + {\CYRR\cyri\cyrs\cyru\cyrn\cyro\cyrk}% + {\CYRR\cyri\cyrs\cyru\cyrn\cyrk\cyri}% + \Crefname@preamble{table}% + {\CYRT\cyra\cyrb\cyrl\cyri\cyrc\cyra}% + {\CYRT\cyra\cyrb\cyrl\cyri\cyrc\cyrery}% + \Crefname@preamble{enumi}% + {\CYRP\cyru\cyrn\cyrk\cyrt}% + {\CYRP\cyru\cyrn\cyrk\cyrt\cyrery}% + \Crefname@preamble{chapter}% + {\CYRG\cyrl\cyra\cyrv\cyra}% + {\CYRG\cyrl\cyra\cyrv\cyrery}% + \Crefname@preamble{section}% + {\CYRR\cyra\cyrz\cyrd\cyre\cyrl}% + {\CYRR\cyra\cyrz\cyrd\cyre\cyrl\cyrery}% + \Crefname@preamble{appendix}% + {\CYRP\cyrr\cyri\cyrl\cyro\cyrzh\cyre\cyrn\cyri\cyre}% + {\CYRP\cyrr\cyri\cyrl\cyro\cyrzh\cyre\cyrn\cyri\cyrya}% + \Crefname@preamble{footnote}% + {\CYRS\cyrn\cyro\cyrs\cyrk\cyra}% + {\CYRS\cyrn\cyro\cyrs\cyrk\cyri}% + \Crefname@preamble{theorem}% + {\CYRT\cyre\cyro\cyrr\cyre\cyrm\cyra}% + {\CYRT\cyre\cyro\cyrr\cyre\cyrm\cyrery}% + \Crefname@preamble{lemma}% + {\CYRL\cyre\cyrm\cyrm\cyra}% + {\CYRL\cyre\cyrm\cyrm\cyrery}% + \Crefname@preamble{corollary}% + {\CYRV\cyrery\cyrv\cyro\cyrd}% + {\CYRV\cyrery\cyrv\cyro\cyrd\cyrery}% + \Crefname@preamble{proposition}% + {\CYRU\cyrt\cyrv\cyre\cyrr\cyrzh\cyrd\cyre\cyrn\cyri\cyre}% + {\CYRU\cyrt\cyrv\cyre\cyrr\cyrzh\cyrd\cyre\cyrn\cyri\cyrya}% + \Crefname@preamble{definition}% + {\CYRO\cyrp\cyrr\cyre\cyrd\cyre\cyrl\cyre\cyrn\cyri\cyre}% + {\CYRO\cyrp\cyrr\cyre\cyrd\cyre\cyrl\cyre\cyrn\cyri\cyrya}% + \Crefname@preamble{result}% + {\CYRR\cyre\cyrz\cyru\cyrl\cyrsftsn\cyrt\cyra\cyrt}% + {\CYRR\cyre\cyrz\cyru\cyrl\cyrsftsn\cyrt\cyra\cyrt\cyrery}% + \Crefname@preamble{example}% + {\CYRP\cyrr\cyri\cyrm\cyre\cyrr}% + {\CYRP\cyrr\cyri\cyrm\cyre\cyrr\cyrery}% + \Crefname@preamble{remark}% + {\CYRP\cyrr\cyri\cyrm\cyre\cyrch\cyra\cyrn\cyri\cyre}% + {\CYRP\cyrr\cyri\cyrm\cyre\cyrch\cyra\cyrn\cyri\cyrya}% + \Crefname@preamble{note}% + {\CYRZ\cyra\cyrm\cyre\cyrt\cyrk\cyra}% + {\CYRZ\cyra\cyrm\cyre\cyrt\cyrk\cyri}% + \Crefname@preamble{algorithm}% + {\CYRA\cyrl\cyrg\cyro\cyrr\cyri\cyrt\cyrm}% + {\CYRA\cyrl\cyrg\cyro\cyrr\cyri\cyrt\cyrm\cyrery}% + \Crefname@preamble{listing}% + {\CYRL\cyri\cyrs\cyrt\cyri\cyrn\cyrg}% + {\CYRL\cyri\cyrs\cyrt\cyri\cyrn\cyrg\cyri}% + \Crefname@preamble{line}% + {\CYRS\cyrt\cyrr\cyro\cyrk\cyra}% + {\CYRS\cyrt\cyrr\cyro\cyrk\cyri}% + \Crefname@preamble{page}% + {\CYRS\cyrt\cyrr\cyra\cyrn\cyri\cyrc\cyra}% + {\CYRS\cyrt\cyrr\cyra\cyrn\cyri\cyrc\cyrery}% + \Crefname@preamble{part}% + {\CYRCH\cyra\cyrs\cyrt\cyrsftsn}% + {\CYRCH\cyra\cyrs\cyrt\cyri}% + % + \if@cref@capitalise% capitalise set + \if@cref@abbrev% abbrev set + \crefname@preamble{equation}% + {\CYRF-\cyrl.}% + {\CYRF-\cyrl.}% + \crefname@preamble{figure}% + {\CYRR\cyri\cyrs.}% + {\CYRR\cyri\cyrs.}% + \crefname@preamble{table}% + {\CYRT\cyra\cyrb\cyrl.}% + {\CYRT\cyra\cyrb\cyrl.}% + \crefname@preamble{enumi}% + {\CYRP.}% + {\CYRP.\cyrp.}% + \else% + \crefname@preamble{equation}% + {\CYRF\cyro\cyrr\cyrm\cyru\cyrl\cyra}% + {\CYRF\cyro\cyrr\cyrm\cyru\cyrl\cyrery}% + \crefname@preamble{figure}% + {\CYRR\cyri\cyrs\cyru\cyrn\cyro\cyrk}% + {\CYRR\cyri\cyrs\cyru\cyrn\cyrk\cyri}% + \crefname@preamble{table}% + {\CYRT\cyra\cyrb\cyrl\cyri\cyrc\cyra}% + {\CYRT\cyra\cyrb\cyrl\cyri\cyrc\cyrery}% + \crefname@preamble{enumi}% + {\CYRP\cyru\cyrn\cyrk\cyrt}% + {\CYRP\cyru\cyrn\cyrk\cyrt\cyrery}% + \fi% + \crefname@preamble{chapter}% + {\CYRG\cyrl\cyra\cyrv\cyra}% + {\CYRG\cyrl\cyra\cyrv\cyrery}% + \crefname@preamble{section}% + {\CYRR\cyra\cyrz\cyrd\cyre\cyrl}% + {\CYRR\cyra\cyrz\cyrd\cyre\cyrl\cyrery}% + \crefname@preamble{appendix}% + {\CYRP\cyrr\cyri\cyrl\cyro\cyrzh\cyre\cyrn\cyri\cyre}% + {\CYRP\cyrr\cyri\cyrl\cyro\cyrzh\cyre\cyrn\cyri\cyrya}% + \crefname@preamble{footnote}% + {\CYRS\cyrn\cyro\cyrs\cyrk\cyra}% + {\CYRS\cyrn\cyro\cyrs\cyrk\cyri}% + \crefname@preamble{theorem}% + {\CYRT\cyre\cyro\cyrr\cyre\cyrm\cyra}% + {\CYRT\cyre\cyro\cyrr\cyre\cyrm\cyrery}% + \crefname@preamble{lemma}% + {\CYRL\cyre\cyrm\cyrm\cyra}% + {\CYRL\cyre\cyrm\cyrm\cyrery}% + \crefname@preamble{corollary}% + {\CYRV\cyrery\cyrv\cyro\cyrd}% + {\CYRV\cyrery\cyrv\cyro\cyrd\cyrery}% + \crefname@preamble{proposition}% + {\CYRU\cyrt\cyrv\cyre\cyrr\cyrzh\cyrd\cyre\cyrn\cyri\cyre}% + {\CYRU\cyrt\cyrv\cyre\cyrr\cyrzh\cyrd\cyre\cyrn\cyri\cyrya}% + \crefname@preamble{definition}% + {\CYRO\cyrp\cyrr\cyre\cyrd\cyre\cyrl\cyre\cyrn\cyri\cyre}% + {\CYRO\cyrp\cyrr\cyre\cyrd\cyre\cyrl\cyre\cyrn\cyri\cyrya}% + \crefname@preamble{result}% + {\CYRR\cyre\cyrz\cyru\cyrl\cyrsftsn\cyrt\cyra\cyrt}% + {\CYRR\cyre\cyrz\cyru\cyrl\cyrsftsn\cyrt\cyra\cyrt\cyrery}% + \crefname@preamble{example}% + {\CYRP\cyrr\cyri\cyrm\cyre\cyrr}% + {\CYRP\cyrr\cyri\cyrm\cyre\cyrr\cyrery}% + \crefname@preamble{remark}% + {\CYRP\cyrr\cyri\cyrm\cyre\cyrch\cyra\cyrn\cyri\cyre}% + {\CYRP\cyrr\cyri\cyrm\cyre\cyrch\cyra\cyrn\cyri\cyrya}% + \crefname@preamble{note}% + {\CYRZ\cyra\cyrm\cyre\cyrt\cyrk\cyra}% + {\CYRZ\cyra\cyrm\cyre\cyrt\cyrk\cyri}% + \crefname@preamble{algorithm}% + {\CYRA\cyrl\cyrg\cyro\cyrr\cyri\cyrt\cyrm}% + {\CYRA\cyrl\cyrg\cyro\cyrr\cyri\cyrt\cyrm\cyrery}% + \crefname@preamble{listing}% + {\CYRL\cyri\cyrs\cyrt\cyri\cyrn\cyrg}% + {\CYRL\cyri\cyrs\cyrt\cyri\cyrn\cyrg\cyri}% + \crefname@preamble{line}% + {\CYRS\cyrt\cyrr\cyro\cyrk\cyra}% + {\CYRS\cyrt\cyrr\cyro\cyrk\cyri}% + \crefname@preamble{page}% + {\CYRS\cyrt\cyrr\cyra\cyrn\cyri\cyrc\cyra}% + {\CYRS\cyrt\cyrr\cyra\cyrn\cyri\cyrc\cyrery}% + \crefname@preamble{part}% + {\CYRCH\cyra\cyrs\cyrt\cyrsftsn}% + {\CYRCH\cyra\cyrs\cyrt\cyri}% + % + \else% capitalise unset + \if@cref@abbrev% abbrev set + \crefname@preamble{equation}% + {\cyrf-\cyrl.}% + {\cyrf-\cyrl.}% + \crefname@preamble{figure}% + {\cyrr\cyri\cyrs.}% + {\cyrr\cyri\cyrs.}% + \crefname@preamble{table}% + {\cyrt\cyra\cyrb\cyrl.}% + {\cyrt\cyra\cyrb\cyrl.}% + \crefname@preamble{enumi}% + {\cyrp.}% + {\cyrp.\cyrp.}% + \crefname@preamble{chapter}% + {\cyrg\cyrl\cyra\cyrv.}% + {\cyrg\cyrl\cyra\cyrv.}% + \crefname@preamble{section}% + {\cyrr\cyra\cyrz\cyrd.}% + {\cyrr\cyra\cyrz\cyrd\cyre\cyrl.}% + \crefname@preamble{appendix}% + {\cyrp\cyrr\cyri\cyrl\cyro\cyrzh.}% + {\cyrp\cyrr\cyri\cyrl\cyro\cyrzh.}% + \crefname@preamble{footnote}% + {\cyrs\cyrn\cyro\cyrs\cyrk.}% + {\cyrs\cyrn\cyro\cyrs\cyrk.}% + \crefname@preamble{theorem}% + {\cyrt\cyre\cyro\cyrr\cyre\cyrm.}% + {\cyrt\cyre\cyro\cyrr\cyre\cyrm.}% + \crefname@preamble{lemma}% + {\cyrl\cyre\cyrm\cyrm.}% + {\cyrl\cyre\cyrm\cyrm.}% + \crefname@preamble{corollary}% + {\cyrv\cyrery\cyrv\cyro\cyrd}% + {\cyrv\cyrery\cyrv\cyro\cyrd.}% + \crefname@preamble{proposition}% + {\cyru\cyrt\cyrv\cyre\cyrr\cyrzh\cyrd.}% + {\cyru\cyrt\cyrv\cyre\cyrr\cyrzh\cyrd.}% + \crefname@preamble{definition}% + {\cyro\cyrp\cyrr\cyre\cyrd\cyre\cyrl\cyre\cyrn.}% + {\cyro\cyrp\cyrr\cyre\cyrd\cyre\cyrl\cyre\cyrn.}% + \crefname@preamble{result}% + {\cyrr\cyre\cyrz\cyru\cyrl\cyrsftsn\cyrt.}% + {\cyrr\cyre\cyrz\cyru\cyrl\cyrsftsn\cyrt.}% + \crefname@preamble{example}% + {\cyrp\cyrr\cyri\cyrm.}% + {\cyrp\cyrr\cyri\cyrm\cyre\cyrr.}% + \crefname@preamble{remark}% + {\cyrp\cyrr\cyri\cyrm\cyre\cyrch.}% + {\cyrp\cyrr\cyri\cyrm\cyre\cyrch.}% + \crefname@preamble{note}% + {\cyrz\cyra\cyrm\cyre\cyrt\cyrk.}% + {\cyrz\cyra\cyrm\cyre\cyrt\cyrk.}% + \crefname@preamble{algorithm}% + {\cyra\cyrl\cyrg.}% + {\cyra\cyrl\cyrg.}% + \crefname@preamble{listing}% + {\cyrl\cyri\cyrs\cyrt\cyri\cyrn.}% + {\cyrl\cyri\cyrs\cyrt\cyri\cyrn\cyrg.}% + \crefname@preamble{line}% + {\cyrs\cyrt\cyrr\cyrk.}% + {\cyrs\cyrt\cyrr\cyrk.}% + \else% abbrev unset + \crefname@preamble{equation}% + {\cyrf\cyro\cyrr\cyrm\cyru\cyrl\cyra}% + {\cyrf\cyro\cyrr\cyrm\cyru\cyrl\cyrery}% + \crefname@preamble{figure}% + {\cyrr\cyri\cyrs\cyru\cyrn\cyro\cyrk}% + {\cyrr\cyri\cyrs\cyru\cyrn\cyrk\cyri}% + \crefname@preamble{table}% + {\cyrt\cyra\cyrb\cyrl\cyri\cyrc\cyra}% + {\cyrt\cyra\cyrb\cyrl\cyri\cyrc\cyrery}% + \crefname@preamble{enumi}% + {\cyrp\cyru\cyrn\cyrk\cyrt}% + {\cyrp\cyru\cyrn\cyrk\cyrt\cyrery}% + \crefname@preamble{chapter}% + {\cyrg\cyrl\cyra\cyrv\cyra}% + {\cyrg\cyrl\cyra\cyrv\cyrery}% + \crefname@preamble{section}% + {\cyrr\cyra\cyrz\cyrd\cyre\cyrl}% + {\cyrr\cyra\cyrz\cyrd\cyre\cyrl\cyrery}% + \crefname@preamble{appendix}% + {\cyrp\cyrr\cyri\cyrl\cyro\cyrzh\cyre\cyrn\cyri\cyre}% + {\cyrp\cyrr\cyri\cyrl\cyro\cyrzh\cyre\cyrn\cyri\cyrya}% + \crefname@preamble{footnote}% + {\cyrs\cyrn\cyro\cyrs\cyrk\cyra}% + {\cyrs\cyrn\cyro\cyrs\cyrk\cyri}% + \crefname@preamble{theorem}% + {\cyrt\cyre\cyro\cyrr\cyre\cyrm\cyra}% + {\cyrt\cyre\cyro\cyrr\cyre\cyrm\cyrery}% + \crefname@preamble{lemma}% + {\cyrl\cyre\cyrm\cyrm\cyra}% + {\cyrl\cyre\cyrm\cyrm\cyrery}% + \crefname@preamble{corollary}% + {\cyrv\cyrery\cyrv\cyro\cyrd}% + {\cyrv\cyrery\cyrv\cyro\cyrd\cyrery}% + \crefname@preamble{proposition}% + {\cyru\cyrt\cyrv\cyre\cyrr\cyrzh\cyrd\cyre\cyrn\cyri\cyre}% + {\cyru\cyrt\cyrv\cyre\cyrr\cyrzh\cyrd\cyre\cyrn\cyri\cyrya}% + \crefname@preamble{definition}% + {\cyro\cyrp\cyrr\cyre\cyrd\cyre\cyrl\cyre\cyrn\cyri\cyre}% + {\cyro\cyrp\cyrr\cyre\cyrd\cyre\cyrl\cyre\cyrn\cyri\cyrya}% + \crefname@preamble{result}% + {\cyrr\cyre\cyrz\cyru\cyrl\cyrsftsn\cyrt\cyra\cyrt}% + {\cyrr\cyre\cyrz\cyru\cyrl\cyrsftsn\cyrt\cyra\cyrt\cyrery}% + \crefname@preamble{example}% + {\cyrp\cyrr\cyri\cyrm\cyre\cyrr}% + {\cyrp\cyrr\cyri\cyrm\cyre\cyrr\cyrery}% + \crefname@preamble{remark}% + {\cyrp\cyrr\cyri\cyrm\cyre\cyrch\cyra\cyrn\cyri\cyre}% + {\cyrp\cyrr\cyri\cyrm\cyre\cyrch\cyra\cyrn\cyri\cyrya}% + \crefname@preamble{note}% + {\cyrz\cyra\cyrm\cyre\cyrt\cyrk\cyra}% + {\cyrz\cyra\cyrm\cyre\cyrt\cyrk\cyri}% + \crefname@preamble{algorithm}% + {\cyra\cyrl\cyrg\cyro\cyrr\cyri\cyrt\cyrm}% + {\cyra\cyrl\cyrg\cyro\cyrr\cyri\cyrt\cyrm\cyrery}% + \crefname@preamble{listing}% + {\cyrl\cyri\cyrs\cyrt\cyri\cyrn\cyrg}% + {\cyrl\cyri\cyrs\cyrt\cyri\cyrn\cyrg\cyri}% + \crefname@preamble{line}% + {\cyrs\cyrt\cyrr\cyro\cyrk\cyra}% + {\cyrs\cyrt\cyrr\cyro\cyrk\cyri}% + \fi% + \crefname@preamble{page}% + {\cyrs\cyrt\cyrr\cyra\cyrn\cyri\cyrc\cyre}% + {\cyrs\cyrt\cyrr\cyra\cyrn\cyri\cyrc\cyra\cyrh}% + \crefname@preamble{part}% + {\cyrch\cyra\cyrs\cyrt\cyrsftsn}% + {\cyrch\cyra\cyrs\cyrt\cyri}% + \fi% + \def\cref@language{russian}% + }}% end \DeclareOption and \AtBeginDocument +\cref@addlanguagedefs{russian}{% + \PackageInfo{cleveref}{loaded `russian' language definitions}% + \renewcommand{\crefrangeconjunction}{--}% + \renewcommand\crefrangepreconjunction{}% + \renewcommand\crefrangepostconjunction{}% + \renewcommand{\crefpairconjunction}{ \cyri\nobreakspace}% + \renewcommand{\crefmiddleconjunction}{, }% + \renewcommand{\creflastconjunction}{ \cyri\nobreakspace}% + \renewcommand{\crefpairgroupconjunction}{ \cyri\nobreakspace}% + \renewcommand{\crefmiddlegroupconjunction}{, }% + \renewcommand{\creflastgroupconjunction}% + {, \cyra\ \cyrt\cyra\cyrk\cyrzh\cyre\nobreakspace}% + % + \Crefname{page}% + {\CYRS\cyrt\cyrr\cyra\cyrn\cyri\cyrc\cyra}% + {\CYRS\cyrt\cyrr\cyra\cyrn\cyri\cyrc\cyrery}% + \Crefname{equation}% + {\CYRF\cyro\cyrr\cyrm\cyru\cyrl\cyra}% + {\CYRF\cyro\cyrr\cyrm\cyru\cyrl\cyrery}% + \Crefname{figure}% + {\CYRR\cyri\cyrs\cyru\cyrn\cyro\cyrk}% + {\CYRR\cyri\cyrs\cyru\cyrn\cyrk\cyri}% + \Crefname{subfigure}% + {\CYRR\cyri\cyrs\cyru\cyrn\cyro\cyrk}% + {\CYRR\cyri\cyrs\cyru\cyrn\cyrk\cyri}% + \Crefname{table}% + {\CYRT\cyra\cyrb\cyrl\cyri\cyrc\cyra}% + {\CYRT\cyra\cyrb\cyrl\cyri\cyrc\cyrery}% + \Crefname{subtable}% + {\CYRT\cyra\cyrb\cyrl\cyri\cyrc\cyra}% + {\CYRT\cyra\cyrb\cyrl\cyri\cyrc\cyrery}% + \Crefname{part}% + {\CYRCH\cyra\cyrs\cyrt\cyrsftsn}% + {\CYRCH\cyra\cyrs\cyrt\cyri}% + \Crefname{chapter}% + {\CYRG\cyrl\cyra\cyrv\cyra}% + {\CYRG\cyrl\cyra\cyrv\cyrery}% + \Crefname{section}% + {\CYRR\cyra\cyrz\cyrd\cyre\cyrl}% + {\CYRR\cyra\cyrz\cyrd\cyre\cyrl\cyrery}% + \Crefname{subsection}% + {\CYRR\cyra\cyrz\cyrd\cyre\cyrl}% + {\CYRR\cyra\cyrz\cyrd\cyre\cyrl\cyrery}% + \Crefname{subsubsection}% + {\CYRR\cyra\cyrz\cyrd\cyre\cyrl}% + {\CYRR\cyra\cyrz\cyrd\cyre\cyrl\cyrery}% + \Crefname{appendix}% + {\CYRP\cyrr\cyri\cyrl\cyro\cyrzh\cyre\cyrn\cyri\cyre}% + {\CYRP\cyrr\cyri\cyrl\cyro\cyrzh\cyre\cyrn\cyri\cyrya}% + \Crefname{subappendix}% + {\CYRP\cyrr\cyri\cyrl\cyro\cyrzh\cyre\cyrn\cyri\cyre}% + {\CYRP\cyrr\cyri\cyrl\cyro\cyrzh\cyre\cyrn\cyri\cyrya}% + \Crefname{subsubappendix}% + {\CYRP\cyrr\cyri\cyrl\cyro\cyrzh\cyre\cyrn\cyri\cyre}% + {\CYRP\cyrr\cyri\cyrl\cyro\cyrzh\cyre\cyrn\cyri\cyrya}% + \Crefname{subsubsubappendix}% + {\CYRP\cyrr\cyri\cyrl\cyro\cyrzh\cyre\cyrn\cyri\cyre}% + {\CYRP\cyrr\cyri\cyrl\cyro\cyrzh\cyre\cyrn\cyri\cyrya}% + \Crefname{enumi}% + {\CYRP\cyru\cyrn\cyrk\cyrt}% + {\CYRP\cyru\cyrn\cyrk\cyrt\cyrery}% + \Crefname{enumii}% + {\CYRP\cyru\cyrn\cyrk\cyrt}% + {\CYRP\cyru\cyrn\cyrk\cyrt\cyrery}% + \Crefname{enumiii}% + {\CYRP\cyru\cyrn\cyrk\cyrt}% + {\CYRP\cyru\cyrn\cyrk\cyrt\cyrery}% + \Crefname{enumiv}% + {\CYRP\cyru\cyrn\cyrk\cyrt}% + {\CYRP\cyru\cyrn\cyrk\cyrt\cyrery}% + \Crefname{enumv}% + {\CYRP\cyru\cyrn\cyrk\cyrt}% + {\CYRP\cyru\cyrn\cyrk\cyrt\cyrery}% + \Crefname{footnote}% + {\CYRS\cyrn\cyro\cyrs\cyrk\cyra}% + {\CYRS\cyrn\cyro\cyrs\cyrk\cyri}% + \Crefname{theorem}% + {\CYRT\cyre\cyro\cyrr\cyre\cyrm\cyra}% + {\CYRT\cyre\cyro\cyrr\cyre\cyrm\cyrery}% + \Crefname{lemma}% + {\CYRL\cyre\cyrm\cyrm\cyra}% + {\CYRL\cyre\cyrm\cyrm\cyrery}% + \Crefname{corollary}% + {\CYRV\cyrery\cyrv\cyro\cyrd}% + {\CYRV\cyrery\cyrv\cyro\cyrd\cyrery}% + \Crefname{proposition}% + {\CYRU\cyrt\cyrv\cyre\cyrr\cyrzh\cyrd\cyre\cyrn\cyri\cyre}% + {\CYRU\cyrt\cyrv\cyre\cyrr\cyrzh\cyrd\cyre\cyrn\cyri\cyrya}% + \Crefname{definition}% + {\CYRO\cyrp\cyrr\cyre\cyrd\cyre\cyrl\cyre\cyrn\cyri\cyre}% + {\CYRO\cyrp\cyrr\cyre\cyrd\cyre\cyrl\cyre\cyrn\cyri\cyrya}% + \Crefname{result}% + {\CYRR\cyre\cyrz\cyru\cyrl\cyrsftsn\cyrt\cyra\cyrt}% + {\CYRR\cyre\cyrz\cyru\cyrl\cyrsftsn\cyrt\cyra\cyrt\cyrery}% + \Crefname{example}% + {\CYRP\cyrr\cyri\cyrm\cyre\cyrr}% + {\CYRP\cyrr\cyri\cyrm\cyre\cyrr\cyrery}% + \Crefname{remark}% + {\CYRP\cyrr\cyri\cyrm\cyre\cyrch\cyra\cyrn\cyri\cyre}% + {\CYRP\cyrr\cyri\cyrm\cyre\cyrch\cyra\cyrn\cyri\cyrya}% + \Crefname{note}% + {\CYRZ\cyra\cyrm\cyre\cyrt\cyrk\cyra}% + {\CYRZ\cyra\cyrm\cyre\cyrt\cyrk\cyri}% + \Crefname{algorithm}% + {\CYRA\cyrl\cyrg\cyro\cyrr\cyri\cyrt\cyrm}% + {\CYRA\cyrl\cyrg\cyro\cyrr\cyri\cyrt\cyrm\cyrery}% + \Crefname{listing}% + {\CYRL\cyri\cyrs\cyrt\cyri\cyrn\cyrg}% + {\CYRL\cyri\cyrs\cyrt\cyri\cyrn\cyrg\cyri}% + \Crefname{line}% + {\CYRS\cyrt\cyrr\cyro\cyrk\cyra}% + {\CYRS\cyrt\cyrr\cyro\cyrk\cyri}% + % + \if@cref@capitalise% capitalise set + \if@cref@abbrev% abbrev set + \crefname{equation}% + {\CYRF-\cyrl.}% + {\CYRF-\cyrl.}% + \crefname{figure}% + {\CYRR\cyri\cyrs.}% + {\CYRR\cyri\cyrs.}% + \crefname{subfigure}% + {\CYRR\cyri\cyrs.}% + {\CYRR\cyri\cyrs.}% + \crefname{table}% + {\CYRT\cyra\cyrb\cyrl.}% + {\CYRT\cyra\cyrb\cyrl.}% + \crefname{subtable}% + {\CYRT\cyra\cyrb\cyrl.}% + {\CYRT\cyra\cyrb\cyrl.}% + \crefname{enumi}% + {\CYRP.}% + {\CYRP.\cyrp.}% + \crefname{enumii}% + {\CYRP.}% + {\CYRP.\cyrp.}% + \crefname{enumiii}% + {\CYRP.}% + {\CYRP.\cyrp.}% + \crefname{enumiv}% + {\CYRP.}% + {\CYRP.\cyrp.}% + \crefname{enumv}% + {\CYRP.}% + {\CYRP.\cyrp.}% + \else% abbrev unset + \crefname{equation}% + {\CYRF\cyro\cyrr\cyrm\cyru\cyrl\cyra}% + {\CYRF\cyro\cyrr\cyrm\cyru\cyrl\cyrery}% + \crefname{figure}% + {\CYRR\cyri\cyrs\cyru\cyrn\cyro\cyrk}% + {\CYRR\cyri\cyrs\cyru\cyrn\cyrk\cyri}% + \crefname{subfigure}% + {\CYRR\cyri\cyrs\cyru\cyrn\cyro\cyrk}% + {\CYRR\cyri\cyrs\cyru\cyrn\cyrk\cyri}% + \crefname{table}% + {\CYRT\cyra\cyrb\cyrl\cyri\cyrc\cyra}% + {\CYRT\cyra\cyrb\cyrl\cyri\cyrc\cyrery}% + \crefname{subtable}% + {\CYRT\cyra\cyrb\cyrl\cyri\cyrc\cyra}% + {\CYRT\cyra\cyrb\cyrl\cyri\cyrc\cyrery}% + \crefname{enumi}% + {\CYRP\cyru\cyrn\cyrk\cyrt}% + {\CYRP\cyru\cyrn\cyrk\cyrt\cyrery}% + \crefname{enumii}% + {\CYRP\cyru\cyrn\cyrk\cyrt}% + {\CYRP\cyru\cyrn\cyrk\cyrt\cyrery}% + \crefname{enumiii}% + {\CYRP\cyru\cyrn\cyrk\cyrt}% + {\CYRP\cyru\cyrn\cyrk\cyrt\cyrery}% + \crefname{enumiv}% + {\CYRP\cyru\cyrn\cyrk\cyrt}% + {\CYRP\cyru\cyrn\cyrk\cyrt\cyrery}% + \crefname{enumv}% + {\CYRP\cyru\cyrn\cyrk\cyrt}% + {\CYRP\cyru\cyrn\cyrk\cyrt\cyrery}% + \fi% + \crefname{page}% + {\CYRS\cyrt\cyrr\cyra\cyrn\cyri\cyrc\cyra}% + {\CYRS\cyrt\cyrr\cyra\cyrn\cyri\cyrc\cyrery}% + \crefname{part}% + {\CYRCH\cyra\cyrs\cyrt\cyrsftsn}% + {\CYRCH\cyra\cyrs\cyrt\cyri}% + \crefname{chapter}% + {\CYRG\cyrl\cyra\cyrv\cyra}% + {\CYRG\cyrl\cyra\cyrv\cyrery}% + \crefname{section}% + {\CYRR\cyra\cyrz\cyrd\cyre\cyrl}% + {\CYRR\cyra\cyrz\cyrd\cyre\cyrl\cyrery}% + \crefname{subsection}% + {\CYRR\cyra\cyrz\cyrd\cyre\cyrl}% + {\CYRR\cyra\cyrz\cyrd\cyre\cyrl\cyrery}% + \crefname{subsubsection}% + {\CYRR\cyra\cyrz\cyrd\cyre\cyrl}% + {\CYRR\cyra\cyrz\cyrd\cyre\cyrl\cyrery}% + \crefname{appendix}% + {\CYRP\cyrr\cyri\cyrl\cyro\cyrzh\cyre\cyrn\cyri\cyre}% + {\CYRP\cyrr\cyri\cyrl\cyro\cyrzh\cyre\cyrn\cyri\cyrya}% + \crefname{subappendix}% + {\CYRP\cyrr\cyri\cyrl\cyro\cyrzh\cyre\cyrn\cyri\cyre}% + {\CYRP\cyrr\cyri\cyrl\cyro\cyrzh\cyre\cyrn\cyri\cyrya}% + \crefname{subsubappendix}% + {\CYRP\cyrr\cyri\cyrl\cyro\cyrzh\cyre\cyrn\cyri\cyre}% + {\CYRP\cyrr\cyri\cyrl\cyro\cyrzh\cyre\cyrn\cyri\cyrya}% + \crefname{subsubsubappendix}% + {\CYRP\cyrr\cyri\cyrl\cyro\cyrzh\cyre\cyrn\cyri\cyre}% + {\CYRP\cyrr\cyri\cyrl\cyro\cyrzh\cyre\cyrn\cyri\cyrya}% + \crefname{footnote}% + {\CYRS\cyrn\cyro\cyrs\cyrk\cyra}% + {\CYRS\cyrn\cyro\cyrs\cyrk\cyri}% + \crefname{theorem}% + {\CYRT\cyre\cyro\cyrr\cyre\cyrm\cyra}% + {\CYRT\cyre\cyro\cyrr\cyre\cyrm\cyrery}% + \crefname{lemma}% + {\CYRL\cyre\cyrm\cyrm\cyra}% + {\CYRL\cyre\cyrm\cyrm\cyrery}% + \crefname{corollary}% + {\CYRV\cyrery\cyrv\cyro\cyrd}% + {\CYRV\cyrery\cyrv\cyro\cyrd\cyrery}% + \crefname{proposition}% + {\CYRU\cyrt\cyrv\cyre\cyrr\cyrzh\cyrd\cyre\cyrn\cyri\cyre}% + {\CYRU\cyrt\cyrv\cyre\cyrr\cyrzh\cyrd\cyre\cyrn\cyri\cyrya}% + \crefname{definition}% + {\CYRO\cyrp\cyrr\cyre\cyrd\cyre\cyrl\cyre\cyrn\cyri\cyre}% + {\CYRO\cyrp\cyrr\cyre\cyrd\cyre\cyrl\cyre\cyrn\cyri\cyrya}% + \crefname{result}% + {\CYRR\cyre\cyrz\cyru\cyrl\cyrsftsn\cyrt\cyra\cyrt}% + {\CYRR\cyre\cyrz\cyru\cyrl\cyrsftsn\cyrt\cyra\cyrt\cyrery}% + \crefname{example}% + {\CYRP\cyrr\cyri\cyrm\cyre\cyrr}% + {\CYRP\cyrr\cyri\cyrm\cyre\cyrr\cyrery}% + \crefname{remark}% + {\CYRP\cyrr\cyri\cyrm\cyre\cyrch\cyra\cyrn\cyri\cyre}% + {\CYRP\cyrr\cyri\cyrm\cyre\cyrch\cyra\cyrn\cyri\cyrya}% + \crefname{note}% + {\CYRZ\cyra\cyrm\cyre\cyrt\cyrk\cyra}% + {\CYRZ\cyra\cyrm\cyre\cyrt\cyrk\cyri}% + \crefname{algorithm}% + {\CYRA\cyrl\cyrg\cyro\cyrr\cyri\cyrt\cyrm}% + {\CYRA\cyrl\cyrg\cyro\cyrr\cyri\cyrt\cyrm\cyrery}% + \crefname{listing}% + {\CYRL\cyri\cyrs\cyrt\cyri\cyrn\cyrg}% + {\CYRL\cyri\cyrs\cyrt\cyri\cyrn\cyrg\cyri}% + \crefname{line}% + {\CYRS\cyrt\cyrr\cyro\cyrk\cyra}% + {\CYRS\cyrt\cyrr\cyro\cyrk\cyri}% + % + \else% capitalise unset + \if@cref@abbrev% abbrev set + \crefname{equation}% + {\cyrf-\cyrl.}% + {\cyrf-\cyrl.}% + \crefname{chapter}% + {\cyrg\cyrl\cyra\cyrv.}% + {\cyrg\cyrl\cyra\cyrv.}% + \crefname{section}% + {\cyrr\cyra\cyrz\cyrd.}% + {\cyrr\cyra\cyrz\cyrd\cyre\cyrl.}% + \crefname{subsection}% + {\cyrr\cyra\cyrz\cyrd.}% + {\cyrr\cyra\cyrz\cyrd\cyre\cyrl.}% + \crefname{subsubsection}% + {\cyrr\cyra\cyrz\cyrd.}% + {\cyrr\cyra\cyrz\cyrd\cyre\cyrl.}% + \crefname{appendix}% + {\cyrp\cyrr\cyri\cyrl\cyro\cyrzh.}% + {\cyrp\cyrr\cyri\cyrl\cyro\cyrzh.}% + \crefname{subappendix}% + {\cyrp\cyrr\cyri\cyrl\cyro\cyrzh.}% + {\cyrp\cyrr\cyri\cyrl\cyro\cyrzh.}% + \crefname{subsubappendix}% + {\cyrp\cyrr\cyri\cyrl\cyro\cyrzh.}% + {\cyrp\cyrr\cyri\cyrl\cyro\cyrzh.}% + \crefname{subsubsubappendix}% + {\cyrp\cyrr\cyri\cyrl\cyro\cyrzh.}% + {\cyrp\cyrr\cyri\cyrl\cyro\cyrzh.}% + \crefname{enumi}% + {\cyrp.}% + {\cyrp.\cyrp.}% + \crefname{enumii}% + {\cyrp.}% + {\cyrp.\cyrp.}% + \crefname{enumiii}% + {\cyrp.}% + {\cyrp.\cyrp.}% + \crefname{enumiv}% + {\cyrp.}% + {\cyrp.\cyrp.}% + \crefname{enumv}% + {\cyrp.}% + {\cyrp.\cyrp.}% + \crefname{footnote}% + {\cyrs\cyrn\cyro\cyrs\cyrk.}% + {\cyrs\cyrn\cyro\cyrs\cyrk.}% + \crefname{figure}% + {\cyrr\cyri\cyrs.}% + {\cyrr\cyri\cyrs.}% + \crefname{subfigure}% + {\cyrr\cyri\cyrs.}% + {\cyrr\cyri\cyrs.}% + \crefname{table}% + {\cyrt\cyra\cyrb\cyrl.}% + {\cyrt\cyra\cyrb\cyrl.}% + \crefname{subtable}% + {\cyrt\cyra\cyrb\cyrl.}% + {\cyrt\cyra\cyrb\cyrl.}% + \crefname{theorem}% + {\cyrt\cyre\cyro\cyrr\cyre\cyrm.}% + {\cyrt\cyre\cyro\cyrr\cyre\cyrm.}% + \crefname{lemma}% + {\cyrl\cyre\cyrm\cyrm.}% + {\cyrl\cyre\cyrm\cyrm.}% + \crefname{corollary}% + {\cyrv\cyrery\cyrv\cyro\cyrd}% + {\cyrv\cyrery\cyrv\cyro\cyrd.}% + \crefname{proposition}% + {\cyru\cyrt\cyrv\cyre\cyrr\cyrzh\cyrd.}% + {\cyru\cyrt\cyrv\cyre\cyrr\cyrzh\cyrd.}% + \crefname{definition}% + {\cyro\cyrp\cyrr\cyre\cyrd\cyre\cyrl\cyre\cyrn.}% + {\cyro\cyrp\cyrr\cyre\cyrd\cyre\cyrl\cyre\cyrn.}% + \crefname{result}% + {\cyrr\cyre\cyrz\cyru\cyrl\cyrsftsn\cyrt.}% + {\cyrr\cyre\cyrz\cyru\cyrl\cyrsftsn\cyrt.}% + \crefname{example}% + {\cyrp\cyrr\cyri\cyrm.}% + {\cyrp\cyrr\cyri\cyrm\cyre\cyrr.}% + \crefname{remark}% + {\cyrp\cyrr\cyri\cyrm\cyre\cyrch.}% + {\cyrp\cyrr\cyri\cyrm\cyre\cyrch.}% + \crefname{note}% + {\cyrz\cyra\cyrm\cyre\cyrt\cyrk.}% + {\cyrz\cyra\cyrm\cyre\cyrt\cyrk.}% + \crefname{algorithm}% + {\cyra\cyrl\cyrg.}% + {\cyra\cyrl\cyrg.}% + \crefname{listing}% + {\cyrl\cyri\cyrs\cyrt\cyri\cyrn.}% + {\cyrl\cyri\cyrs\cyrt\cyri\cyrn\cyrg.}% + \crefname{line}% + {\cyrs\cyrt\cyrr\cyrk.}% + {\cyrs\cyrt\cyrr\cyrk.}% + \else% abbrev unset + \crefname{equation}% + {\cyrf\cyro\cyrr\cyrm\cyru\cyrl\cyra}% + {\cyrf\cyro\cyrr\cyrm\cyru\cyrl\cyrery}% + \crefname{figure}% + {\cyrr\cyri\cyrs\cyru\cyrn\cyro\cyrk}% + {\cyrr\cyri\cyrs\cyru\cyrn\cyrk\cyri}% + \crefname{subfigure}% + {\cyrr\cyri\cyrs\cyru\cyrn\cyro\cyrk}% + {\cyrr\cyri\cyrs\cyru\cyrn\cyrk\cyri}% + \crefname{table}% + {\cyrt\cyra\cyrb\cyrl\cyri\cyrc\cyra}% + {\cyrt\cyra\cyrb\cyrl\cyri\cyrc\cyrery}% + \crefname{subtable}% + {\cyrt\cyra\cyrb\cyrl\cyri\cyrc\cyra}% + {\cyrt\cyra\cyrb\cyrl\cyri\cyrc\cyrery}% + \crefname{enumi}% + {\cyrp\cyru\cyrn\cyrk\cyrt}% + {\cyrp\cyru\cyrn\cyrk\cyrt\cyrery}% + \crefname{enumii}% + {\cyrp\cyru\cyrn\cyrk\cyrt}% + {\cyrp\cyru\cyrn\cyrk\cyrt\cyrery}% + \crefname{enumiii}% + {\cyrp\cyru\cyrn\cyrk\cyrt}% + {\cyrp\cyru\cyrn\cyrk\cyrt\cyrery}% + \crefname{enumiv}% + {\cyrp\cyru\cyrn\cyrk\cyrt}% + {\cyrp\cyru\cyrn\cyrk\cyrt\cyrery}% + \crefname{enumv}% + {\cyrp\cyru\cyrn\cyrk\cyrt}% + {\cyrp\cyru\cyrn\cyrk\cyrt\cyrery}% + \crefname{chapter}% + {\cyrg\cyrl\cyra\cyrv\cyra}% + {\cyrg\cyrl\cyra\cyrv\cyrery}% + \crefname{section}% + {\cyrr\cyra\cyrz\cyrd\cyre\cyrl}% + {\cyrr\cyra\cyrz\cyrd\cyre\cyrl\cyrery}% + \crefname{subsection}% + {\cyrr\cyra\cyrz\cyrd\cyre\cyrl}% + {\cyrr\cyra\cyrz\cyrd\cyre\cyrl\cyrery}% + \crefname{subsubsection}% + {\cyrr\cyra\cyrz\cyrd\cyre\cyrl}% + {\cyrr\cyra\cyrz\cyrd\cyre\cyrl\cyrery}% + \crefname{appendix}% + {\cyrp\cyrr\cyri\cyrl\cyro\cyrzh\cyre\cyrn\cyri\cyre}% + {\cyrp\cyrr\cyri\cyrl\cyro\cyrzh\cyre\cyrn\cyri\cyrya}% + \crefname{subappendix}% + {\cyrp\cyrr\cyri\cyrl\cyro\cyrzh\cyre\cyrn\cyri\cyre}% + {\cyrp\cyrr\cyri\cyrl\cyro\cyrzh\cyre\cyrn\cyri\cyrya}% + \crefname{subsubappendix}% + {\cyrp\cyrr\cyri\cyrl\cyro\cyrzh\cyre\cyrn\cyri\cyre}% + {\cyrp\cyrr\cyri\cyrl\cyro\cyrzh\cyre\cyrn\cyri\cyrya}% + \crefname{subsubsubappendix}% + {\cyrp\cyrr\cyri\cyrl\cyro\cyrzh\cyre\cyrn\cyri\cyre}% + {\cyrp\cyrr\cyri\cyrl\cyro\cyrzh\cyre\cyrn\cyri\cyrya}% + \crefname{footnote}% + {\cyrs\cyrn\cyro\cyrs\cyrk\cyra}% + {\cyrs\cyrn\cyro\cyrs\cyrk\cyri}% + \crefname{theorem}% + {\cyrt\cyre\cyro\cyrr\cyre\cyrm\cyra}% + {\cyrt\cyre\cyro\cyrr\cyre\cyrm\cyrery}% + \crefname{lemma}% + {\cyrl\cyre\cyrm\cyrm\cyra}% + {\cyrl\cyre\cyrm\cyrm\cyrery}% + \crefname{corollary}% + {\cyrv\cyrery\cyrv\cyro\cyrd}% + {\cyrv\cyrery\cyrv\cyro\cyrd\cyrery}% + \crefname{proposition}% + {\cyru\cyrt\cyrv\cyre\cyrr\cyrzh\cyrd\cyre\cyrn\cyri\cyre}% + {\cyru\cyrt\cyrv\cyre\cyrr\cyrzh\cyrd\cyre\cyrn\cyri\cyrya}% + \crefname{definition}% + {\cyro\cyrp\cyrr\cyre\cyrd\cyre\cyrl\cyre\cyrn\cyri\cyre}% + {\cyro\cyrp\cyrr\cyre\cyrd\cyre\cyrl\cyre\cyrn\cyri\cyrya}% + \crefname{result}% + {\cyrr\cyre\cyrz\cyru\cyrl\cyrsftsn\cyrt\cyra\cyrt}% + {\cyrr\cyre\cyrz\cyru\cyrl\cyrsftsn\cyrt\cyra\cyrt\cyrery}% + \crefname{example}% + {\cyrp\cyrr\cyri\cyrm\cyre\cyrr}% + {\cyrp\cyrr\cyri\cyrm\cyre\cyrr\cyrery}% + \crefname{remark}% + {\cyrp\cyrr\cyri\cyrm\cyre\cyrch\cyra\cyrn\cyri\cyre}% + {\cyrp\cyrr\cyri\cyrm\cyre\cyrch\cyra\cyrn\cyri\cyrya}% + \crefname{note}% + {\cyrz\cyra\cyrm\cyre\cyrt\cyrk\cyra}% + {\cyrz\cyra\cyrm\cyre\cyrt\cyrk\cyri}% + \crefname{algorithm}% + {\cyra\cyrl\cyrg\cyro\cyrr\cyri\cyrt\cyrm}% + {\cyra\cyrl\cyrg\cyro\cyrr\cyri\cyrt\cyrm\cyrery}% + \crefname{listing}% + {\cyrl\cyri\cyrs\cyrt\cyri\cyrn\cyrg}% + {\cyrl\cyri\cyrs\cyrt\cyri\cyrn\cyrg\cyri}% + \crefname{line}% + {\cyrs\cyrt\cyrr\cyro\cyrk\cyra}% + {\cyrs\cyrt\cyrr\cyro\cyrk\cyri}% + \fi% + \crefname{page}% + {\cyrs\cyrt\cyrr\cyra\cyrn\cyri\cyrc\cyre}% + {\cyrs\cyrt\cyrr\cyra\cyrn\cyri\cyrc\cyra\cyrh}% + \crefname{part}% + {\cyrch\cyra\cyrs\cyrt\cyrsftsn}% + {\cyrch\cyra\cyrs\cyrt\cyri}% + \fi}% end \cref@loadlanguagedefs +\DeclareOption{ukrainian}{% + \AtBeginDocument{% + \def\crefrangeconjunction@preamble{--}% + \def\crefrangepreconjunction@preamble{}% + \def\crefrangepostconjunction@preamble{}% + \def\crefpairconjunction@preamble{ \cyrii\nobreakspace}% + \def\crefmiddleconjunction@preamble{, }% + \def\creflastconjunction@preamble{ \cyrii\nobreakspace}% + \def\crefpairgroupconjunction@preamble{ \cyrt\cyra\nobreakspace}% + \def\crefmiddlegroupconjunction@preamble{, }% + \def\creflastgroupconjunction@preamble% + {, \cyra\ \cyrt\cyra\cyrk\cyro\cyrzh\nobreakspace}% + % + \Crefname@preamble{equation}% + {\CYRF\cyro\cyrr\cyrm\cyru\cyrl\cyra}% + {\CYRF\cyro\cyrr\cyrm\cyru\cyrl\cyri}% + \Crefname@preamble{figure}% + {\CYRR\cyri\cyrs\cyru\cyrn\cyro\cyrk}% + {\CYRR\cyri\cyrs\cyru\cyrn\cyrk\cyri}% + \Crefname@preamble{table}% + {\CYRT\cyra\cyrb\cyrl\cyri\cyrc\cyrya}% + {\CYRT\cyra\cyrb\cyrl\cyri\cyrc\cyrii}% + \Crefname@preamble{enumi}% + {\CYRP\cyru\cyrn\cyrk\cyrt}% + {\CYRP\cyru\cyrn\cyrk\cyrt\cyri}% + \Crefname@preamble{chapter}% + {\CYRG\cyrl\cyra\cyrv\cyra}% + {\CYRG\cyrl\cyra\cyrv\cyri}% + \Crefname@preamble{section}% + {\CYRR\cyro\cyrz\cyrd\cyrii\cyrl}% + {\CYRR\cyro\cyrz\cyrd\cyrii\cyrl\cyri}% + \Crefname@preamble{appendix}% + {\CYRD\cyro\cyrd\cyra\cyrt\cyro\cyrk}% + {\CYRD\cyro\cyrd\cyra\cyrt\cyrk\cyri}% + \Crefname@preamble{footnote}% + {\CYRV\cyri\cyrn\cyro\cyrs\cyrk\cyra}% + {\CYRV\cyri\cyrn\cyro\cyrs\cyrk\cyri}% + \Crefname@preamble{theorem}% + {\CYRT\cyre\cyro\cyrr\cyre\cyrm\cyra}% + {\CYRT\cyre\cyro\cyrr\cyre\cyrm\cyri}% + \Crefname@preamble{lemma}% + {\CYRL\cyre\cyrm\cyrm\cyra}% + {\CYRL\cyre\cyrm\cyrm\cyri}% + \Crefname@preamble{corollary}% + {\CYRV\cyri\cyrs\cyrn\cyro\cyrv\cyro\cyrk}% + {\CYRV\cyri\cyrs\cyrn\cyro\cyrv\cyrk\cyri}% + \Crefname@preamble{proposition}% + {\CYRT\cyrv\cyre\cyrr\cyrd\cyrzh\cyre\cyrn\cyrn\cyrya}% + {\CYRT\cyrv\cyre\cyrr\cyrd\cyrzh\cyre\cyrn\cyrn\cyrya}% + \Crefname@preamble{definition}% + {\CYRV\cyri\cyrz\cyrn\cyra\cyrch\cyre\cyrn\cyrn\cyrya}% + {\CYRV\cyri\cyrz\cyrn\cyra\cyrch\cyre\cyrn\cyrn\cyrya}% + \Crefname@preamble{result}% + {\CYRR\cyre\cyrz\cyru\cyrl\cyrsftsn\cyrt\cyra\cyrt}% + {\CYRR\cyre\cyrz\cyru\cyrl\cyrsftsn\cyrt\cyra\cyrt\cyri}% + \Crefname@preamble{example}% + {\CYRP\cyrr\cyri\cyrk\cyrl\cyra\cyrd}% + {\CYRP\cyrr\cyri\cyrk\cyrl\cyra\cyrd\cyri}% + \Crefname@preamble{remark}% + {\CYRP\cyrr\cyri\cyrm\cyrii\cyrt\cyrk\cyra}% + {\CYRP\cyrr\cyri\cyrm\cyrii\cyrt\cyrk\cyri}% + \Crefname@preamble{note}% + {\CYRZ\cyra\cyrm\cyrii\cyrt\cyrk\cyra}% + {\CYRZ\cyra\cyrm\cyrii\cyrt\cyrk\cyri}% + \Crefname@preamble{algorithm}% + {\CYRA\cyrl\cyrg\cyro\cyrr\cyri\cyrt\cyrm}% + {\CYRA\cyrl\cyrg\cyro\cyrr\cyri\cyrt\cyrm\cyri}% + \Crefname@preamble{listing}% + {\CYRL\cyrii\cyrs\cyrt\cyri\cyrn\cyrg}% + {\CYRL\cyrii\cyrs\cyrt\cyri\cyrn\cyrg\cyri}% + \Crefname@preamble{line}% + {\CYRS\cyrt\cyrr\cyro\cyrk\cyra}% + {\CYRS\cyrt\cyrr\cyro\cyrk\cyri}% + \Crefname@preamble{page}% + {\CYRS\cyrt\cyro\cyrr\cyri\cyrn\cyrk\cyra}% + {\CYRS\cyrt\cyro\cyrr\cyrii\cyrn\cyrk\cyri}% + \Crefname@preamble{part}% + {\CYRCH\cyra\cyrs\cyrt\cyri\cyrn\cyra}% + {\CYRCH\cyra\cyrs\cyrt\cyri\cyrn\cyri}% + % + \if@cref@capitalise% capitalise set + \if@cref@abbrev% abbrev set + \crefname@preamble{equation}% + {\CYRF-\cyrl.}% + {\CYRF-\cyrl.}% + \crefname@preamble{figure}% + {\CYRR\cyri\cyrs.}% + {\CYRR\cyri\cyrs.}% + \crefname@preamble{table}% + {\CYRT\cyra\cyrb\cyrl.}% + {\CYRT\cyra\cyrb\cyrl.}% + \crefname@preamble{enumi}% + {\CYRP.}% + {\CYRP.\cyrp.}% + \else% + \crefname@preamble{equation}% + {\CYRF\cyro\cyrr\cyrm\cyru\cyrl\cyra}% + {\CYRF\cyro\cyrr\cyrm\cyru\cyrl\cyri}% + \crefname@preamble{figure}% + {\CYRR\cyri\cyrs\cyru\cyrn\cyro\cyrk}% + {\CYRR\cyri\cyrs\cyru\cyrn\cyrk\cyri}% + \crefname@preamble{table}% + {\CYRT\cyra\cyrb\cyrl\cyri\cyrc\cyrya}% + {\CYRT\cyra\cyrb\cyrl\cyri\cyrc\cyrii}% + \crefname@preamble{enumi}% + {\CYRP\cyru\cyrn\cyrk\cyrt}% + {\CYRP\cyru\cyrn\cyrk\cyrt\cyri}% + \fi% + \crefname@preamble{chapter}% + {\CYRG\cyrl\cyra\cyrv\cyra}% + {\CYRG\cyrl\cyra\cyrv\cyri}% + \crefname@preamble{section}% + {\CYRR\cyro\cyrz\cyrd\cyrii\cyrl}% + {\CYRR\cyro\cyrz\cyrd\cyrii\cyrl\cyri}% + \crefname@preamble{appendix}% + {\CYRD\cyro\cyrd\cyra\cyrt\cyro\cyrk}% + {\CYRD\cyro\cyrd\cyra\cyrt\cyrk\cyri}% + \crefname@preamble{footnote}% + {\CYRV\cyri\cyrn\cyro\cyrs\cyrk\cyra}% + {\CYRV\cyri\cyrn\cyro\cyrs\cyrk\cyri}% + \crefname@preamble{theorem}% + {\CYRT\cyre\cyro\cyrr\cyre\cyrm\cyra}% + {\CYRT\cyre\cyro\cyrr\cyre\cyrm\cyri}% + \crefname@preamble{lemma}% + {\CYRL\cyre\cyrm\cyrm\cyra}% + {\CYRL\cyre\cyrm\cyrm\cyri}% + \crefname@preamble{corollary}% + {\CYRV\cyri\cyrs\cyrn\cyro\cyrv\cyro\cyrk}% + {\CYRV\cyri\cyrs\cyrn\cyro\cyrv\cyrk\cyri}% + \crefname@preamble{proposition}% + {\CYRT\cyrv\cyre\cyrr\cyrd\cyrzh\cyre\cyrn\cyrn\cyrya}% + {\CYRT\cyrv\cyre\cyrr\cyrd\cyrzh\cyre\cyrn\cyrn\cyrya}% + \crefname@preamble{definition}% + {\CYRV\cyri\cyrz\cyrn\cyra\cyrch\cyre\cyrn\cyrn\cyrya}% + {\CYRV\cyri\cyrz\cyrn\cyra\cyrch\cyre\cyrn\cyrn\cyrya}% + \crefname@preamble{result}% + {\CYRR\cyre\cyrz\cyru\cyrl\cyrsftsn\cyrt\cyra\cyrt}% + {\CYRR\cyre\cyrz\cyru\cyrl\cyrsftsn\cyrt\cyra\cyrt\cyri}% + \crefname@preamble{example}% + {\CYRP\cyrr\cyri\cyrk\cyrl\cyra\cyrd}% + {\CYRP\cyrr\cyri\cyrk\cyrl\cyra\cyrd\cyri}% + \crefname@preamble{remark}% + {\CYRP\cyrr\cyri\cyrm\cyrii\cyrt\cyrk\cyra}% + {\CYRP\cyrr\cyri\cyrm\cyrii\cyrt\cyrk\cyri}% + \crefname@preamble{note}% + {\CYRZ\cyra\cyrm\cyrii\cyrt\cyrk\cyra}% + {\CYRZ\cyra\cyrm\cyrii\cyrt\cyrk\cyri}% + \crefname@preamble{algorithm}% + {\CYRA\cyrl\cyrg\cyro\cyrr\cyri\cyrt\cyrm}% + {\CYRA\cyrl\cyrg\cyro\cyrr\cyri\cyrt\cyrm\cyri}% + \crefname@preamble{listing}% + {\CYRL\cyrii\cyrs\cyrt\cyri\cyrn\cyrg}% + {\CYRL\cyrii\cyrs\cyrt\cyri\cyrn\cyrg\cyri}% + \crefname@preamble{line}% + {\CYRS\cyrt\cyrr\cyro\cyrk\cyra}% + {\CYRS\cyrt\cyrr\cyro\cyrk\cyri}% + \crefname@preamble{page}% + {\CYRS\cyrt\cyro\cyrr\cyri\cyrn\cyrk\cyra}% + {\CYRS\cyrt\cyro\cyrr\cyrii\cyrn\cyrk\cyri}% + \crefname@preamble{part}% + {\CYRCH\cyra\cyrs\cyrt\cyri\cyrn\cyra}% + {\CYRCH\cyra\cyrs\cyrt\cyri\cyrn\cyri}% + % + \else% capitalise unset + \if@cref@abbrev% abbrev set + \crefname@preamble{equation}% + {\cyrf-\cyrl.}% + {\cyrf-\cyrl.}% + \crefname@preamble{figure}% + {\cyrr\cyri\cyrs.}% + {\cyrr\cyri\cyrs.}% + \crefname@preamble{table}% + {\cyrt\cyra\cyrb\cyrl.}% + {\cyrt\cyra\cyrb\cyrl.}% + \crefname@preamble{enumi}% + {\cyrp.}% + {\cyrp.\cyrp.}% + \crefname@preamble{chapter}% + {\cyrg\cyrl\cyra\cyrv.}% + {\cyrg\cyrl\cyra\cyrv.}% + \crefname@preamble{section}% + {\cyrr\cyro\cyrz\cyrd.}% + {\cyrr\cyro\cyrz\cyrd\cyrii\cyrl.}% + \crefname@preamble{appendix}% + {\cyrd\cyro\cyrd\cyra\cyrt.}% + {\cyrd\cyro\cyrd\cyra\cyrt\cyrk.}% + \crefname@preamble{footnote}% + {\cyrv\cyri\cyrn\cyro\cyrs\cyrk.}% + {\cyrv\cyri\cyrn\cyro\cyrs\cyrk.}% + \crefname@preamble{theorem}% + {\cyrt\cyre\cyro\cyrr\cyre\cyrm.}% + {\cyrt\cyre\cyro\cyrr\cyre\cyrm.}% + \crefname@preamble{lemma}% + {\cyrl\cyre\cyrm\cyrm.}% + {\cyrl\cyre\cyrm\cyrm.}% + \crefname@preamble{corollary}% + {\cyrv\cyri\cyrs\cyrn\cyro\cyrv.}% + {\cyrv\cyri\cyrs\cyrn\cyro\cyrv\cyrk.}% + \crefname@preamble{proposition}% + {\cyrt\cyrv\cyre\cyrr\cyrd\cyrzh\cyre\cyrn\cyrn.}% + {\cyrt\cyrv\cyre\cyrr\cyrd\cyrzh\cyre\cyrn\cyrn.}% + \crefname@preamble{definition}% + {\cyrv\cyri\cyrz\cyrn\cyra\cyrch\cyre\cyrn\cyrn.}% + {\cyrv\cyri\cyrz\cyrn\cyra\cyrch\cyre\cyrn\cyrn.}% + \crefname@preamble{result}% + {\cyrr\cyre\cyrz\cyru\cyrl\cyrsftsn\cyrt.}% + {\cyrr\cyre\cyrz\cyru\cyrl\cyrsftsn\cyrt\cyra\cyrt.}% + \crefname@preamble{example}% + {\cyrp\cyrr\cyri\cyrk\cyrl.}% + {\cyrp\cyrr\cyri\cyrk\cyrl\cyra\cyrd.}% + \crefname@preamble{remark}% + {\cyrp\cyrr\cyri\cyrm\cyrii\cyrt.}% + {\cyrp\cyrr\cyri\cyrm\cyrii\cyrt.}% + \crefname@preamble{note}% + {\cyrz\cyra\cyrm\cyrii\cyrt.}% + {\cyrz\cyra\cyrm\cyrii\cyrt.}% + \crefname@preamble{algorithm}% + {\cyra\cyrl\cyrg.}% + {\cyra\cyrl\cyrg.}% + \crefname@preamble{listing}% + {\cyrl\cyrii\cyrs\cyrt\cyri\cyrn.}% + {\cyrl\cyrii\cyrs\cyrt\cyri\cyrn\cyrg.}% + \crefname@preamble{line}% + {\cyrs\cyrt\cyrr\cyrk.}% + {\cyrs\cyrt\cyrr\cyrk.}% + \else% abbrev unset + \crefname@preamble{equation}% + {\cyrf\cyro\cyrr\cyrm\cyru\cyrl\cyra}% + {\cyrf\cyro\cyrr\cyrm\cyru\cyrl\cyri}% + \crefname@preamble{figure}% + {\cyrr\cyri\cyrs\cyru\cyrn\cyro\cyrk}% + {\cyrr\cyri\cyrs\cyru\cyrn\cyrk\cyri}% + \crefname@preamble{table}% + {\cyrt\cyra\cyrb\cyrl\cyri\cyrc\cyrya}% + {\cyrt\cyra\cyrb\cyrl\cyri\cyrc\cyrii}% + \crefname@preamble{enumi}% + {\cyrp\cyru\cyrn\cyrk\cyrt}% + {\cyrp\cyru\cyrn\cyrk\cyrt\cyri}% + \crefname@preamble{chapter}% + {\cyrg\cyrl\cyra\cyrv\cyra}% + {\cyrg\cyrl\cyra\cyrv\cyri}% + \crefname@preamble{section}% + {\cyrr\cyro\cyrz\cyrd\cyrii\cyrl}% + {\cyrr\cyro\cyrz\cyrd\cyrii\cyrl\cyri}% + \crefname@preamble{appendix}% + {\cyrd\cyro\cyrd\cyra\cyrt\cyro\cyrk}% + {\cyrd\cyro\cyrd\cyra\cyrt\cyrk\cyri}% + \crefname@preamble{footnote}% + {\cyrv\cyri\cyrn\cyro\cyrs\cyrk\cyra}% + {\cyrv\cyri\cyrn\cyro\cyrs\cyrk\cyri}% + \crefname@preamble{theorem}% + {\cyrt\cyre\cyro\cyrr\cyre\cyrm\cyra}% + {\cyrt\cyre\cyro\cyrr\cyre\cyrm\cyri}% + \crefname@preamble{lemma}% + {\cyrl\cyre\cyrm\cyrm\cyra}% + {\cyrl\cyre\cyrm\cyrm\cyri}% + \crefname@preamble{corollary}% + {\cyrv\cyri\cyrs\cyrn\cyro\cyrv\cyro\cyrk}% + {\cyrv\cyri\cyrs\cyrn\cyro\cyrv\cyrk\cyri}% + \crefname@preamble{proposition}% + {\cyrt\cyrv\cyre\cyrr\cyrd\cyrzh\cyre\cyrn\cyrn\cyrya}% + {\cyrt\cyrv\cyre\cyrr\cyrd\cyrzh\cyre\cyrn\cyrn\cyrya}% + \crefname@preamble{definition}% + {\cyrv\cyri\cyrz\cyrn\cyra\cyrch\cyre\cyrn\cyrn\cyrya}% + {\cyrv\cyri\cyrz\cyrn\cyra\cyrch\cyre\cyrn\cyrn\cyrya}% + \crefname@preamble{result}% + {\cyrr\cyre\cyrz\cyru\cyrl\cyrsftsn\cyrt\cyra\cyrt}% + {\cyrr\cyre\cyrz\cyru\cyrl\cyrsftsn\cyrt\cyra\cyrt\cyri}% + \crefname@preamble{example}% + {\cyrp\cyrr\cyri\cyrk\cyrl\cyra\cyrd}% + {\cyrp\cyrr\cyri\cyrk\cyrl\cyra\cyrd\cyri}% + \crefname@preamble{remark}% + {\cyrp\cyrr\cyri\cyrm\cyrii\cyrt\cyrk\cyra}% + {\cyrp\cyrr\cyri\cyrm\cyrii\cyrt\cyrk\cyri}% + \crefname@preamble{note}% + {\cyrz\cyra\cyrm\cyrii\cyrt\cyrk\cyra}% + {\cyrz\cyra\cyrm\cyrii\cyrt\cyrk\cyri}% + \crefname@preamble{algorithm}% + {\cyra\cyrl\cyrg\cyro\cyrr\cyri\cyrt\cyrm}% + {\cyra\cyrl\cyrg\cyro\cyrr\cyri\cyrt\cyrm\cyri}% + \crefname@preamble{listing}% + {\cyrl\cyrii\cyrs\cyrt\cyri\cyrn\cyrg}% + {\cyrl\cyrii\cyrs\cyrt\cyri\cyrn\cyrg\cyri}% + \crefname@preamble{line}% + {\cyrs\cyrt\cyrr\cyro\cyrk\cyra}% + {\cyrs\cyrt\cyrr\cyro\cyrk\cyri}% + \fi% + \crefname@preamble{page}% + {\cyrs\cyrt\cyro\cyrr\cyri\cyrn\cyrc\cyrii}% + {\cyrs\cyrt\cyro\cyrr\cyrii\cyrn\cyrk\cyra\cyrh}% + \crefname@preamble{part}% + {\cyrch\cyra\cyrs\cyrt\cyri\cyrn\cyra}% + {\cyrch\cyra\cyrs\cyrt\cyri\cyrn\cyri}% + \fi% + \def\cref@language{ukrainian}% + }}% end \DeclareOption and \AtBeginDocument +\cref@addlanguagedefs{ukrainian}{% + \PackageInfo{cleveref}{loaded `ukrainian' language definitions}% + \renewcommand{\crefrangeconjunction}{--}% + \renewcommand\crefrangepreconjunction{}% + \renewcommand\crefrangepostconjunction{}% + \renewcommand{\crefpairconjunction}{ \cyrii\nobreakspace}% + \renewcommand{\crefmiddleconjunction}{, }% + \renewcommand{\creflastconjunction}{ \cyrii\nobreakspace}% + \renewcommand{\crefpairgroupconjunction}% + { \cyrt\cyra\nobreakspace}% + \renewcommand{\crefmiddlegroupconjunction}{, }% + \renewcommand{\creflastgroupconjunction}% + {, \cyra\ \cyrt\cyra\cyrk\cyro\cyrzh\nobreakspace}% + % + \Crefname{equation}% + {\CYRF\cyro\cyrr\cyrm\cyru\cyrl\cyra}% + {\CYRF\cyro\cyrr\cyrm\cyru\cyrl\cyri}% + \Crefname{figure}% + {\CYRR\cyri\cyrs\cyru\cyrn\cyro\cyrk}% + {\CYRR\cyri\cyrs\cyru\cyrn\cyrk\cyri}% + \Crefname{subfigure}% + {\CYRR\cyri\cyrs\cyru\cyrn\cyro\cyrk}% + {\CYRR\cyri\cyrs\cyru\cyrn\cyrk\cyri}% + \Crefname{table}% + {\CYRT\cyra\cyrb\cyrl\cyri\cyrc\cyrya}% + {\CYRT\cyra\cyrb\cyrl\cyri\cyrc\cyrii}% + \Crefname{subtable}% + {\CYRT\cyra\cyrb\cyrl\cyri\cyrc\cyrya}% + {\CYRT\cyra\cyrb\cyrl\cyri\cyrc\cyrii}% + \Crefname{enumi}% + {\CYRP\cyru\cyrn\cyrk\cyrt}% + {\CYRP\cyru\cyrn\cyrk\cyrt\cyri}% + \Crefname{enumii}% + {\CYRP\cyru\cyrn\cyrk\cyrt}% + {\CYRP\cyru\cyrn\cyrk\cyrt\cyri}% + \Crefname{enumiii}% + {\CYRP\cyru\cyrn\cyrk\cyrt}% + {\CYRP\cyru\cyrn\cyrk\cyrt\cyri}% + \Crefname{enumiv}% + {\CYRP\cyru\cyrn\cyrk\cyrt}% + {\CYRP\cyru\cyrn\cyrk\cyrt\cyri}% + \Crefname{enumv}% + {\CYRP\cyru\cyrn\cyrk\cyrt}% + {\CYRP\cyru\cyrn\cyrk\cyrt\cyri}% + \Crefname{chapter}% + {\CYRG\cyrl\cyra\cyrv\cyra}% + {\CYRG\cyrl\cyra\cyrv\cyri}% + \Crefname{section}% + {\CYRR\cyro\cyrz\cyrd\cyrii\cyrl}% + {\CYRR\cyro\cyrz\cyrd\cyrii\cyrl\cyri}% + \Crefname{subsection}% + {\CYRR\cyro\cyrz\cyrd\cyrii\cyrl}% + {\CYRR\cyro\cyrz\cyrd\cyrii\cyrl\cyri}% + \Crefname{subsubsection}% + {\CYRR\cyro\cyrz\cyrd\cyrii\cyrl}% + {\CYRR\cyro\cyrz\cyrd\cyrii\cyrl\cyri}% + \Crefname{appendix}% + {\CYRD\cyro\cyrd\cyra\cyrt\cyro\cyrk}% + {\CYRD\cyro\cyrd\cyra\cyrt\cyrk\cyri}% + \Crefname{subappendix}% + {\CYRD\cyro\cyrd\cyra\cyrt\cyro\cyrk}% + {\CYRD\cyro\cyrd\cyra\cyrt\cyrk\cyri}% + \Crefname{subsubappendix}% + {\CYRD\cyro\cyrd\cyra\cyrt\cyro\cyrk}% + {\CYRD\cyro\cyrd\cyra\cyrt\cyrk\cyri}% + \Crefname{subsubsubappendix}% + {\CYRD\cyro\cyrd\cyra\cyrt\cyro\cyrk}% + {\CYRD\cyro\cyrd\cyra\cyrt\cyrk\cyri}% + \Crefname{footnote}% + {\CYRV\cyri\cyrn\cyro\cyrs\cyrk\cyra}% + {\CYRV\cyri\cyrn\cyro\cyrs\cyrk\cyri}% + \Crefname{theorem}% + {\CYRT\cyre\cyro\cyrr\cyre\cyrm\cyra}% + {\CYRT\cyre\cyro\cyrr\cyre\cyrm\cyri}% + \Crefname{lemma}% + {\CYRL\cyre\cyrm\cyrm\cyra}% + {\CYRL\cyre\cyrm\cyrm\cyri}% + \Crefname{corollary}% + {\CYRV\cyri\cyrs\cyrn\cyro\cyrv\cyro\cyrk}% + {\CYRV\cyri\cyrs\cyrn\cyro\cyrv\cyrk\cyri}% + \Crefname{proposition}% + {\CYRT\cyrv\cyre\cyrr\cyrd\cyrzh\cyre\cyrn\cyrn\cyrya}% + {\CYRT\cyrv\cyre\cyrr\cyrd\cyrzh\cyre\cyrn\cyrn\cyrya}% + \Crefname{definition}% + {\CYRV\cyri\cyrz\cyrn\cyra\cyrch\cyre\cyrn\cyrn\cyrya}% + {\CYRV\cyri\cyrz\cyrn\cyra\cyrch\cyre\cyrn\cyrn\cyrya}% + \Crefname{result}% + {\CYRR\cyre\cyrz\cyru\cyrl\cyrsftsn\cyrt\cyra\cyrt}% + {\CYRR\cyre\cyrz\cyru\cyrl\cyrsftsn\cyrt\cyra\cyrt\cyri}% + \Crefname{example}% + {\CYRP\cyrr\cyri\cyrk\cyrl\cyra\cyrd}% + {\CYRP\cyrr\cyri\cyrk\cyrl\cyra\cyrd\cyri}% + \Crefname{remark}% + {\CYRP\cyrr\cyri\cyrm\cyrii\cyrt\cyrk\cyra}% + {\CYRP\cyrr\cyri\cyrm\cyrii\cyrt\cyrk\cyri}% + \Crefname{note}% + {\CYRZ\cyra\cyrm\cyrii\cyrt\cyrk\cyra}% + {\CYRZ\cyra\cyrm\cyrii\cyrt\cyrk\cyri}% + \Crefname{algorithm}% + {\CYRA\cyrl\cyrg\cyro\cyrr\cyri\cyrt\cyrm}% + {\CYRA\cyrl\cyrg\cyro\cyrr\cyri\cyrt\cyrm\cyri}% + \Crefname{listing}% + {\CYRL\cyrii\cyrs\cyrt\cyri\cyrn\cyrg}% + {\CYRL\cyrii\cyrs\cyrt\cyri\cyrn\cyrg\cyri}% + \Crefname{line}% + {\CYRS\cyrt\cyrr\cyro\cyrk\cyra}% + {\CYRS\cyrt\cyrr\cyro\cyrk\cyri}% + \Crefname{page}% + {\CYRS\cyrt\cyro\cyrr\cyri\cyrn\cyrk\cyra}% + {\CYRS\cyrt\cyro\cyrr\cyrii\cyrn\cyrk\cyri}% + \Crefname{part}% + {\CYRCH\cyra\cyrs\cyrt\cyri\cyrn\cyra}% + {\CYRCH\cyra\cyrs\cyrt\cyri\cyrn\cyri}% + % + \if@cref@capitalise% capitalise set + \if@cref@abbrev% abbrev set + \crefname{equation}% + {\CYRF-\cyrl.}% + {\CYRF-\cyrl.}% + \crefname{figure}% + {\CYRR\cyri\cyrs.}% + {\CYRR\cyri\cyrs.}% + \crefname{subfigure}% + {\CYRR\cyri\cyrs.}% + {\CYRR\cyri\cyrs.}% + \crefname{table}% + {\CYRT\cyra\cyrb\cyrl.}% + {\CYRT\cyra\cyrb\cyrl.}% + \crefname{subtable}% + {\CYRT\cyra\cyrb\cyrl.}% + {\CYRT\cyra\cyrb\cyrl.}% + \crefname{enumi}% + {\CYRP.}% + {\CYRP.\cyrp.}% + \crefname{enumii}% + {\CYRP.}% + {\CYRP.\cyrp.}% + \crefname{enumiii}% + {\CYRP.}% + {\CYRP.\cyrp.}% + \crefname{enumiv}% + {\CYRP.}% + {\CYRP.\cyrp.}% + \crefname{enumv}% + {\CYRP.}% + {\CYRP.\cyrp.}% + \else% abbrev unset + \crefname{equation}% + {\CYRF\cyro\cyrr\cyrm\cyru\cyrl\cyra}% + {\CYRF\cyro\cyrr\cyrm\cyru\cyrl\cyri}% + \crefname{figure}% + {\CYRR\cyri\cyrs\cyru\cyrn\cyro\cyrk}% + {\CYRR\cyri\cyrs\cyru\cyrn\cyrk\cyri}% + \crefname{subfigure}% + {\CYRR\cyri\cyrs\cyru\cyrn\cyro\cyrk}% + {\CYRR\cyri\cyrs\cyru\cyrn\cyrk\cyri}% + \crefname{table}% + {\CYRT\cyra\cyrb\cyrl\cyri\cyrc\cyrya}% + {\CYRT\cyra\cyrb\cyrl\cyri\cyrc\cyrii}% + \crefname{subtable}% + {\CYRT\cyra\cyrb\cyrl\cyri\cyrc\cyrya}% + {\CYRT\cyra\cyrb\cyrl\cyri\cyrc\cyrii}% + \crefname{enumi}% + {\CYRP\cyru\cyrn\cyrk\cyrt}% + {\CYRP\cyru\cyrn\cyrk\cyrt\cyri}% + \crefname{enumii}% + {\CYRP\cyru\cyrn\cyrk\cyrt}% + {\CYRP\cyru\cyrn\cyrk\cyrt\cyri}% + \crefname{enumiii}% + {\CYRP\cyru\cyrn\cyrk\cyrt}% + {\CYRP\cyru\cyrn\cyrk\cyrt\cyri}% + \crefname{enumiv}% + {\CYRP\cyru\cyrn\cyrk\cyrt}% + {\CYRP\cyru\cyrn\cyrk\cyrt\cyri}% + \crefname{enumv}% + {\CYRP\cyru\cyrn\cyrk\cyrt}% + {\CYRP\cyru\cyrn\cyrk\cyrt\cyri}% + \fi% + \crefname{chapter}% + {\CYRG\cyrl\cyra\cyrv\cyra}% + {\CYRG\cyrl\cyra\cyrv\cyri}% + \crefname{section}% + {\CYRR\cyro\cyrz\cyrd\cyrii\cyrl}% + {\CYRR\cyro\cyrz\cyrd\cyrii\cyrl\cyri}% + \crefname{subsection}% + {\CYRR\cyro\cyrz\cyrd\cyrii\cyrl}% + {\CYRR\cyro\cyrz\cyrd\cyrii\cyrl\cyri}% + \crefname{subsubsection}% + {\CYRR\cyro\cyrz\cyrd\cyrii\cyrl}% + {\CYRR\cyro\cyrz\cyrd\cyrii\cyrl\cyri}% + \crefname{appendix}% + {\CYRD\cyro\cyrd\cyra\cyrt\cyro\cyrk}% + {\CYRD\cyro\cyrd\cyra\cyrt\cyrk\cyri}% + \crefname{subappendix}% + {\CYRD\cyro\cyrd\cyra\cyrt\cyro\cyrk}% + {\CYRD\cyro\cyrd\cyra\cyrt\cyrk\cyri}% + \crefname{subsubappendix}% + {\CYRD\cyro\cyrd\cyra\cyrt\cyro\cyrk}% + {\CYRD\cyro\cyrd\cyra\cyrt\cyrk\cyri}% + \crefname{subsubsubappendix}% + {\CYRD\cyro\cyrd\cyra\cyrt\cyro\cyrk}% + {\CYRD\cyro\cyrd\cyra\cyrt\cyrk\cyri}% + \crefname{footnote}% + {\CYRV\cyri\cyrn\cyro\cyrs\cyrk\cyra}% + {\CYRV\cyri\cyrn\cyro\cyrs\cyrk\cyri}% + \crefname{theorem}% + {\CYRT\cyre\cyro\cyrr\cyre\cyrm\cyra}% + {\CYRT\cyre\cyro\cyrr\cyre\cyrm\cyri}% + \crefname{lemma}% + {\CYRL\cyre\cyrm\cyrm\cyra}% + {\CYRL\cyre\cyrm\cyrm\cyri}% + \crefname{corollary}% + {\CYRV\cyri\cyrs\cyrn\cyro\cyrv\cyro\cyrk}% + {\CYRV\cyri\cyrs\cyrn\cyro\cyrv\cyrk\cyri}% + \crefname{proposition}% + {\CYRT\cyrv\cyre\cyrr\cyrd\cyrzh\cyre\cyrn\cyrn\cyrya}% + {\CYRT\cyrv\cyre\cyrr\cyrd\cyrzh\cyre\cyrn\cyrn\cyrya}% + \crefname{definition}% + {\CYRV\cyri\cyrz\cyrn\cyra\cyrch\cyre\cyrn\cyrn\cyrya}% + {\CYRV\cyri\cyrz\cyrn\cyra\cyrch\cyre\cyrn\cyrn\cyrya}% + \crefname{result}% + {\CYRR\cyre\cyrz\cyru\cyrl\cyrsftsn\cyrt\cyra\cyrt}% + {\CYRR\cyre\cyrz\cyru\cyrl\cyrsftsn\cyrt\cyra\cyrt\cyri}% + \crefname{example}% + {\CYRP\cyrr\cyri\cyrk\cyrl\cyra\cyrd}% + {\CYRP\cyrr\cyri\cyrk\cyrl\cyra\cyrd\cyri}% + \crefname{remark}% + {\CYRP\cyrr\cyri\cyrm\cyrii\cyrt\cyrk\cyra}% + {\CYRP\cyrr\cyri\cyrm\cyrii\cyrt\cyrk\cyri}% + \crefname{note}% + {\CYRZ\cyra\cyrm\cyrii\cyrt\cyrk\cyra}% + {\CYRZ\cyra\cyrm\cyrii\cyrt\cyrk\cyri}% + \crefname{algorithm}% + {\CYRA\cyrl\cyrg\cyro\cyrr\cyri\cyrt\cyrm}% + {\CYRA\cyrl\cyrg\cyro\cyrr\cyri\cyrt\cyrm\cyri}% + \crefname{listing}% + {\CYRL\cyrii\cyrs\cyrt\cyri\cyrn\cyrg}% + {\CYRL\cyrii\cyrs\cyrt\cyri\cyrn\cyrg\cyri}% + \crefname{line}% + {\CYRS\cyrt\cyrr\cyro\cyrk\cyra}% + {\CYRS\cyrt\cyrr\cyro\cyrk\cyri}% + \crefname{page}% + {\CYRS\cyrt\cyro\cyrr\cyri\cyrn\cyrk\cyra}% + {\CYRS\cyrt\cyro\cyrr\cyrii\cyrn\cyrk\cyri}% + \crefname{part}% + {\CYRCH\cyra\cyrs\cyrt\cyri\cyrn\cyra}% + {\CYRCH\cyra\cyrs\cyrt\cyri\cyrn\cyri}% + % + \else% capitalise unset + \if@cref@abbrev% abbrev set + \crefname{equation}% + {\cyrf-\cyrl.}% + {\cyrf-\cyrl.}% + \crefname{chapter}% + {\cyrg\cyrl\cyra\cyrv.}% + {\cyrg\cyrl\cyra\cyrv.}% + \crefname{section}% + {\cyrr\cyro\cyrz\cyrd.}% + {\cyrr\cyro\cyrz\cyrd\cyrii\cyrl.}% + \crefname{subsection}% + {\cyrr\cyro\cyrz\cyrd.}% + {\cyrr\cyro\cyrz\cyrd\cyrii\cyrl.}% + \crefname{subsubsection}% + {\cyrr\cyro\cyrz\cyrd.}% + {\cyrr\cyro\cyrz\cyrd\cyrii\cyrl.}% + \crefname{appendix}% + {\cyrd\cyro\cyrd\cyra\cyrt.}% + {\cyrd\cyro\cyrd\cyra\cyrt\cyrk.}% + \crefname{subappendix}% + {\cyrd\cyro\cyrd\cyra\cyrt.}% + {\cyrd\cyro\cyrd\cyra\cyrt\cyrk.}% + \crefname{subsubappendix}% + {\cyrd\cyro\cyrd\cyra\cyrt.}% + {\cyrd\cyro\cyrd\cyra\cyrt\cyrk.}% + \crefname{subsubsubappendix}% + {\cyrd\cyro\cyrd\cyra\cyrt.}% + {\cyrd\cyro\cyrd\cyra\cyrt\cyrk.}% + \crefname{enumi}% + {\cyrp.}% + {\cyrp.\cyrp.}% + \crefname{enumii}% + {\cyrp.}% + {\cyrp.\cyrp.}% + \crefname{enumiii}% + {\cyrp.}% + {\cyrp.\cyrp.}% + \crefname{enumiv}% + {\cyrp.}% + {\cyrp.\cyrp.}% + \crefname{enumv}% + {\cyrp.}% + {\cyrp.\cyrp.}% + \crefname{footnote}% + {\cyrv\cyri\cyrn\cyro\cyrs\cyrk.}% + {\cyrv\cyri\cyrn\cyro\cyrs\cyrk.}% + \crefname{figure}% + {\cyrr\cyri\cyrs.}% + {\cyrr\cyri\cyrs.}% + \crefname{subfigure}% + {\cyrr\cyri\cyrs.}% + {\cyrr\cyri\cyrs.}% + \crefname{table}% + {\cyrt\cyra\cyrb\cyrl.}% + {\cyrt\cyra\cyrb\cyrl.}% + \crefname{subtable}% + {\cyrt\cyra\cyrb\cyrl.}% + {\cyrt\cyra\cyrb\cyrl.}% + \crefname{theorem}% + {\cyrt\cyre\cyro\cyrr\cyre\cyrm.}% + {\cyrt\cyre\cyro\cyrr\cyre\cyrm.}% + \crefname{lemma}% + {\cyrl\cyre\cyrm\cyrm.}% + {\cyrl\cyre\cyrm\cyrm.}% + \crefname{corollary}% + {\cyrv\cyri\cyrs\cyrn\cyro\cyrv.}% + {\cyrv\cyri\cyrs\cyrn\cyro\cyrv\cyrk.}% + \crefname{proposition}% + {\cyrt\cyrv\cyre\cyrr\cyrd\cyrzh\cyre\cyrn\cyrn.}% + {\cyrt\cyrv\cyre\cyrr\cyrd\cyrzh\cyre\cyrn\cyrn.}% + \crefname{definition}% + {\cyrv\cyri\cyrz\cyrn\cyra\cyrch\cyre\cyrn\cyrn.}% + {\cyrv\cyri\cyrz\cyrn\cyra\cyrch\cyre\cyrn\cyrn.}% + \crefname{result}% + {\cyrr\cyre\cyrz\cyru\cyrl\cyrsftsn\cyrt.}% + {\cyrr\cyre\cyrz\cyru\cyrl\cyrsftsn\cyrt\cyra\cyrt.}% + \crefname{example}% + {\cyrp\cyrr\cyri\cyrk\cyrl.}% + {\cyrp\cyrr\cyri\cyrk\cyrl\cyra\cyrd.}% + \crefname{remark}% + {\cyrp\cyrr\cyri\cyrm\cyrii\cyrt.}% + {\cyrp\cyrr\cyri\cyrm\cyrii\cyrt.}% + \crefname{note}% + {\cyrz\cyra\cyrm\cyrii\cyrt.}% + {\cyrz\cyra\cyrm\cyrii\cyrt.}% + \crefname{algorithm}% + {\cyra\cyrl\cyrg.}% + {\cyra\cyrl\cyrg.}% + \crefname{listing}% + {\cyrl\cyrii\cyrs\cyrt\cyri\cyrn.}% + {\cyrl\cyrii\cyrs\cyrt\cyri\cyrn\cyrg.}% + \crefname{line}% + {\cyrs\cyrt\cyrr\cyrk.}% + {\cyrs\cyrt\cyrr\cyrk.}% + \else% abbrev unset + \crefname{equation}% + {\cyrf\cyro\cyrr\cyrm\cyru\cyrl\cyra}% + {\cyrf\cyro\cyrr\cyrm\cyru\cyrl\cyri}% + \crefname{figure}% + {\cyrr\cyri\cyrs\cyru\cyrn\cyro\cyrk}% + {\cyrr\cyri\cyrs\cyru\cyrn\cyrk\cyri}% + \crefname{subfigure}% + {\cyrr\cyri\cyrs\cyru\cyrn\cyro\cyrk}% + {\cyrr\cyri\cyrs\cyru\cyrn\cyrk\cyri}% + \crefname{table}% + {\cyrt\cyra\cyrb\cyrl\cyri\cyrc\cyrya}% + {\cyrt\cyra\cyrb\cyrl\cyri\cyrc\cyrii}% + \crefname{subtable}% + {\cyrt\cyra\cyrb\cyrl\cyri\cyrc\cyrya}% + {\cyrt\cyra\cyrb\cyrl\cyri\cyrc\cyrii}% + \crefname{enumi}% + {\cyrp\cyru\cyrn\cyrk\cyrt}% + {\cyrp\cyru\cyrn\cyrk\cyrt\cyri}% + \crefname{enumii}% + {\cyrp\cyru\cyrn\cyrk\cyrt}% + {\cyrp\cyru\cyrn\cyrk\cyrt\cyri}% + \crefname{enumiii}% + {\cyrp\cyru\cyrn\cyrk\cyrt}% + {\cyrp\cyru\cyrn\cyrk\cyrt\cyri}% + \crefname{enumiv}% + {\cyrp\cyru\cyrn\cyrk\cyrt}% + {\cyrp\cyru\cyrn\cyrk\cyrt\cyri}% + \crefname{enumv}% + {\cyrp\cyru\cyrn\cyrk\cyrt}% + {\cyrp\cyru\cyrn\cyrk\cyrt\cyri}% + \crefname{chapter}% + {\cyrg\cyrl\cyra\cyrv\cyra}% + {\cyrg\cyrl\cyra\cyrv\cyri}% + \crefname{section}% + {\cyrr\cyro\cyrz\cyrd\cyrii\cyrl}% + {\cyrr\cyro\cyrz\cyrd\cyrii\cyrl\cyri}% + \crefname{subsection}% + {\cyrr\cyro\cyrz\cyrd\cyrii\cyrl}% + {\cyrr\cyro\cyrz\cyrd\cyrii\cyrl\cyri}% + \crefname{subsubsection}% + {\cyrr\cyro\cyrz\cyrd\cyrii\cyrl}% + {\cyrr\cyro\cyrz\cyrd\cyrii\cyrl\cyri}% + \crefname{appendix}% + {\cyrd\cyro\cyrd\cyra\cyrt\cyro\cyrk}% + {\cyrd\cyro\cyrd\cyra\cyrt\cyrk\cyri}% + \crefname{subappendix}% + {\cyrd\cyro\cyrd\cyra\cyrt\cyro\cyrk}% + {\cyrd\cyro\cyrd\cyra\cyrt\cyrk\cyri}% + \crefname{subsubappendix}% + {\cyrd\cyro\cyrd\cyra\cyrt\cyro\cyrk}% + {\cyrd\cyro\cyrd\cyra\cyrt\cyrk\cyri}% + \crefname{subsubsubappendix}% + {\cyrd\cyro\cyrd\cyra\cyrt\cyro\cyrk}% + {\cyrd\cyro\cyrd\cyra\cyrt\cyrk\cyri}% + \crefname{footnote}% + {\cyrv\cyri\cyrn\cyro\cyrs\cyrk\cyra}% + {\cyrv\cyri\cyrn\cyro\cyrs\cyrk\cyri}% + \crefname{theorem}% + {\cyrt\cyre\cyro\cyrr\cyre\cyrm\cyra}% + {\cyrt\cyre\cyro\cyrr\cyre\cyrm\cyri}% + \crefname{lemma}% + {\cyrl\cyre\cyrm\cyrm\cyra}% + {\cyrl\cyre\cyrm\cyrm\cyri}% + \crefname{corollary}% + {\cyrv\cyri\cyrs\cyrn\cyro\cyrv\cyro\cyrk}% + {\cyrv\cyri\cyrs\cyrn\cyro\cyrv\cyrk\cyri}% + \crefname{proposition}% + {\cyrt\cyrv\cyre\cyrr\cyrd\cyrzh\cyre\cyrn\cyrn\cyrya}% + {\cyrt\cyrv\cyre\cyrr\cyrd\cyrzh\cyre\cyrn\cyrn\cyrya}% + \crefname{definition}% + {\cyrv\cyri\cyrz\cyrn\cyra\cyrch\cyre\cyrn\cyrn\cyrya}% + {\cyrv\cyri\cyrz\cyrn\cyra\cyrch\cyre\cyrn\cyrn\cyrya}% + \crefname{result}% + {\cyrr\cyre\cyrz\cyru\cyrl\cyrsftsn\cyrt\cyra\cyrt}% + {\cyrr\cyre\cyrz\cyru\cyrl\cyrsftsn\cyrt\cyra\cyrt\cyri}% + \crefname{example}% + {\cyrp\cyrr\cyri\cyrk\cyrl\cyra\cyrd}% + {\cyrp\cyrr\cyri\cyrk\cyrl\cyra\cyrd\cyri}% + \crefname{remark}% + {\cyrp\cyrr\cyri\cyrm\cyrii\cyrt\cyrk\cyra}% + {\cyrp\cyrr\cyri\cyrm\cyrii\cyrt\cyrk\cyri}% + \crefname{note}% + {\cyrz\cyra\cyrm\cyrii\cyrt\cyrk\cyra}% + {\cyrz\cyra\cyrm\cyrii\cyrt\cyrk\cyri}% + \crefname{algorithm}% + {\cyra\cyrl\cyrg\cyro\cyrr\cyri\cyrt\cyrm}% + {\cyra\cyrl\cyrg\cyro\cyrr\cyri\cyrt\cyrm\cyri}% + \crefname{listing}% + {\cyrl\cyrii\cyrs\cyrt\cyri\cyrn\cyrg}% + {\cyrl\cyrii\cyrs\cyrt\cyri\cyrn\cyrg\cyri}% + \crefname{line}% + {\cyrs\cyrt\cyrr\cyro\cyrk\cyra}% + {\cyrs\cyrt\cyrr\cyro\cyrk\cyri}% + \fi% + \crefname{page}% + {\cyrs\cyrt\cyro\cyrr\cyri\cyrn\cyrc\cyrii}% + {\cyrs\cyrt\cyro\cyrr\cyrii\cyrn\cyrk\cyra\cyrh}% + \crefname{part}% + {\cyrch\cyra\cyrs\cyrt\cyri\cyrn\cyra}% + {\cyrch\cyra\cyrs\cyrt\cyri\cyrn\cyri}% + \fi}% end \cref@loadlanguagedefs +\DeclareOption{norsk}{% + \AtBeginDocument{% + \def\crefrangeconjunction@preamble{ til\nobreakspace}% + \def\crefrangepreconjunction@preamble{}% + \def\crefrangepostconjunction@preamble{}% + \def\crefpairconjunction@preamble{ og\nobreakspace}% + \def\crefmiddleconjunction@preamble{, }% + \def\creflastconjunction@preamble{ og\nobreakspace}% + \def\crefpairgroupconjunction@preamble{ og\nobreakspace}% + \def\crefmiddlegroupconjunction@preamble{, }% + \def\creflastgroupconjunction@preamble{ og\nobreakspace}% + % + \Crefname@preamble{equation}{Likning}{Likningene}% + \Crefname@preamble{figure}{Figur}{Figurene}% + \Crefname@preamble{table}{Tabell}{Tabellene}% + \Crefname@preamble{page}{Side}{Siden}% + \Crefname@preamble{part}{Del}{Delene}% + \Crefname@preamble{chapter}{Kapittel}{Kapitlene}% + \Crefname@preamble{section}{Avsnitt}{Avsnittene}% + \Crefname@preamble{appendix}{Tillegg}{Tilleggene}% + \Crefname@preamble{enumi}{Punkt}{Punktene}% + \Crefname@preamble{footnote}{Fotnote}{Fotnotene}% + \Crefname@preamble{theorem}{Teorem}{Teoremene}% + \Crefname@preamble{lemma}{Lemma}{Lemma}% + \Crefname@preamble{corollary}{Korollar}{Korollarene}% + \Crefname@preamble{proposition}{P\aa stand}{P\aa standene}% + \Crefname@preamble{definition}{Definisjon}{Definisjonene}% + \Crefname@preamble{result}{Resultat}{Resultatene}% + \Crefname@preamble{example}{Eksempel}{Eksemplene}% + \Crefname@preamble{remark}{Bemerkning}{Bemerkningene}% + \Crefname@preamble{note}{Note}{Notene}% + \Crefname@preamble{algorithm}{Algoritme}{Algoritmene}% + \Crefname@preamble{listing}{Opplisting}{Opplistingene}% + \Crefname@preamble{line}{Linje}{Linjene}% + % + \if@cref@capitalise% + \crefname@preamble{page}{Side}{Siden}% + \crefname@preamble{equation}{Likning}{Likningene}% + \crefname@preamble{figure}{Figur}{Figurene}% + \crefname@preamble{table}{Tabell}{Tabellene}% + \crefname@preamble{part}{Del}{Delene}% + \crefname@preamble{chapter}{Kapittel}{Kapitlene}% + \crefname@preamble{section}{Avsnitt}{Avsnittene}% + \crefname@preamble{appendix}{Tillegg}{Tilleggene}% + \crefname@preamble{enumi}{Punkt}{Punktene}% + \crefname@preamble{footnote}{Fotnote}{Fotnotene}% + \crefname@preamble{theorem}{Teorem}{Teoremene}% + \crefname@preamble{lemma}{Lemma}{Lemma}% + \crefname@preamble{corollary}{Korollar}{Korollarene}% + \crefname@preamble{proposition}{P\aa stand}{P\aa standene}% + \crefname@preamble{definition}{Definisjon}{Definisjonene}% + \crefname@preamble{result}{Resultat}{Resultatene}% + \crefname@preamble{example}{Eksempel}{Eksemplene}% + \crefname@preamble{remark}{Bemerkning}{Bemerkningene}% + \crefname@preamble{note}{Note}{Notene}% + \crefname@preamble{algorithm}{Algoritme}{Algoritmene}% + \crefname@preamble{listing}{Opplisting}{Opplistingene}% + \crefname@preamble{line}{Linje}{Linjene}% + % + \else% + \crefname@preamble{equation}{likning}{likningene}% + \crefname@preamble{figure}{figur}{figurene}% + \crefname@preamble{table}{tabell}{tabeller}% + \crefname@preamble{page}{side}{siden}% + \crefname@preamble{part}{del}{delene}% + \crefname@preamble{chapter}{kapittel}{kapitlene}% + \crefname@preamble{section}{avsnitt}{avsnittene}% + \crefname@preamble{appendix}{tillegg}{tilleggene}% + \crefname@preamble{enumi}{punkt}{punktene}% + \crefname@preamble{footnote}{fotnote}{fotnotene}% + \crefname@preamble{theorem}{teorem}{teoremene}% + \crefname@preamble{lemma}{lemma}{lemma}% + \crefname@preamble{corollary}{korollar}{korollarene}% + \crefname@preamble{proposition}{p\aa stand}{p\aa standene}% + \crefname@preamble{definition}{definisjon}{definisjonene}% + \crefname@preamble{result}{resultat}{resultatene}% + \crefname@preamble{example}{eksempel}{eksemplene}% + \crefname@preamble{remark}{bemerkning}{bemerkningene}% + \crefname@preamble{note}{note}{notene}% + \crefname@preamble{algorithm}{algoritme}{algoritmene}% + \crefname@preamble{listing}{opplisting}{opplistingene}% + \crefname@preamble{line}{linje}{linjene}% + \fi% + \def\cref@language{norsk}% + }}% end \DeclareOption and \AtBeginDocument +\cref@addlanguagedefs{norsk}{% + \PackageInfo{cleveref}{loaded `norsk' language definitions}% + \renewcommand{\crefrangeconjunction}{ til\nobreakspace}% + \renewcommand\crefrangepreconjunction{}% + \renewcommand\crefrangepostconjunction{}% + \renewcommand{\crefpairconjunction}{ og\nobreakspace}% + \renewcommand{\crefmiddleconjunction}{, }% + \renewcommand{\creflastconjunction}{ og\nobreakspace}% + \renewcommand{\crefpairgroupconjunction}{ og\nobreakspace}% + \renewcommand{\crefmiddlegroupconjunction}{, }% + \renewcommand{\creflastgroupconjunction}{ og\nobreakspace}% + % + \Crefname{equation}{Likning}{Likningene}% + \Crefname{figure}{Figur}{Figurene}% + \Crefname{subfigure}{Figur}{Figurene}% + \Crefname{table}{Tabell}{Tabellene}% + \Crefname{subtable}{Tabell}{Tabellene}% + \Crefname{page}{Side}{Siden}% + \Crefname{part}{Del}{Delene}% + \Crefname{chapter}{Kapittel}{Kapitlene}% + \Crefname{section}{Avsnitt}{Avsnittene}% + \Crefname{subsection}{Avsnitt}{Avsnittene}% + \Crefname{subsubsection}{Avsnitt}{Avsnittene}% + \Crefname{appendix}{Tillegg}{Tilleggene}% + \Crefname{subappendix}{Tillegg}{Tilleggene}% + \Crefname{subsubappendix}{Tillegg}{Tilleggene}% + \Crefname{subsubsubappendix}{Tillegg}{Tilleggene}% + \Crefname{enumi}{Punkt}{Punktene}% + \Crefname{enumii}{Punkt}{Punktene}% + \Crefname{enumiii}{Punkt}{Punktene}% + \Crefname{enumiv}{Punkt}{Punktene}% + \Crefname{enumv}{Punkt}{Punktene}% + \Crefname{footnote}{Fotnote}{Fotnotene}% + \Crefname{theorem}{Teorem}{Teoremene}% + \Crefname{lemma}{Lemma}{Lemma}% + \Crefname{corollary}{Korollar}{Korollarene}% + \Crefname{proposition}{P\aa stand}{P\aa standene}% + \Crefname{definition}{Definisjon}{Definisjonene}% + \Crefname{result}{Resultat}{Resultatene}% + \Crefname{example}{Eksempel}{Eksemplene}% + \Crefname{remark}{Bemerkning}{Bemerkningene}% + \Crefname{note}{Note}{Notene}% + \Crefname{algorithm}{Algoritme}{Algoritmene}% + \Crefname{listing}{Opplisting}{Opplistingene}% + \Crefname{line}{Linje}{Linjene}% + % + \if@cref@capitalise% + \crefname{equation}{Likning}{Likningene}% + \crefname{figure}{Figur}{Figurene}% + \crefname{subfigure}{Figur}{Figurene}% + \crefname{table}{Tabell}{Tabellene}% + \crefname{subtable}{Tabell}{Tabellene}% + \crefname{page}{Side}{Siden}% + \crefname{part}{Del}{Delene}% + \crefname{chapter}{Kapittel}{Kapitlene}% + \crefname{section}{Avsnitt}{Avsnittene}% + \crefname{subsection}{Avsnitt}{Avsnittene}% + \crefname{subsubsection}{Avsnitt}{Avsnittene}% + \crefname{appendix}{Tillegg}{Tilleggene}% + \crefname{subappendix}{Tillegg}{Tilleggene}% + \crefname{subsubappendix}{Tillegg}{Tilleggene}% + \crefname{subsubsubappendix}{Tillegg}{Tilleggene}% + \crefname{enumi}{Punkt}{Punktene}% + \crefname{enumii}{Punkt}{Punktene}% + \crefname{enumiii}{Punkt}{Punktene}% + \crefname{enumiv}{Punkt}{Punktene}% + \crefname{enumv}{Punkt}{Punktene}% + \crefname{footnote}{Fotnote}{Fotnotene}% + \crefname{theorem}{Teorem}{Teoremene}% + \crefname{lemma}{Lemma}{Lemma}% + \crefname{corollary}{Korollar}{Korollarene}% + \crefname{proposition}{P\aa stand}{P\aa standene}% + \crefname{definition}{Definisjon}{Definisjonene}% + \crefname{result}{Resultat}{Resultatene}% + \crefname{example}{Eksempel}{Eksemplene}% + \crefname{remark}{Bemerkning}{Bemerkningene}% + \crefname{note}{Note}{Notene}% + \crefname{algorithm}{Algoritme}{Algoritmene}% + \crefname{listing}{Opplisting}{Opplistingene}% + \crefname{line}{Linje}{Linjene}% + % + \else% + \crefname{equation}{likning}{likningene}% + \crefname{figure}{figur}{figurene}% + \crefname{subfigure}{figur}{figurene}% + \crefname{table}{tabell}{tabellene}% + \crefname{subtable}{tabell}{tabellene}% + \crefname{page}{side}{siden}% + \crefname{part}{del}{delene}% + \crefname{chapter}{kapittel}{kapitlene}% + \crefname{section}{avsnitt}{avsnittene}% + \crefname{subsection}{avsnitt}{avsnittene}% + \crefname{subsubsection}{avsnitt}{avsnittene}% + \crefname{appendix}{tillegg}{tilleggene}% + \crefname{subappendix}{tillegg}{tilleggene}% + \crefname{subsubappendix}{tillegg}{tilleggene}% + \crefname{subsubsubappendix}{tillegg}{tilleggene}% + \crefname{enumi}{punkt}{punktene}% + \crefname{enumii}{punkt}{punktene}% + \crefname{enumiii}{punkt}{punktene}% + \crefname{enumiv}{punkt}{punktene}% + \crefname{enumv}{punkt}{punktene}% + \crefname{footnote}{fotnote}{fotnotene}% + \crefname{theorem}{teorem}{teoremene}% + \crefname{lemma}{lemma}{lemma}% + \crefname{corollary}{korollar}{korollarene}% + \crefname{proposition}{p\aa stand}{p\aa standene}% + \crefname{definition}{definisjon}{definisjonene}% + \crefname{result}{resultat}{resultatene}% + \crefname{example}{eksempel}{eksemplene}% + \crefname{remark}{bemerkning}{bemerkningene}% + \crefname{note}{note}{notene}% + \crefname{algorithm}{algoritme}{algoritmene}% + \crefname{listing}{opplisting}{opplistingene}% + \crefname{line}{linje}{linjene}% + \fi}% end \cref@loadlanguagedefs +\DeclareOption{danish}{% + \AtBeginDocument{% + \def\crefrangeconjunction@preamble{ til\nobreakspace}% + \def\crefrangepreconjunction@preamble{}% + \def\crefrangepostconjunction@preamble{}% + \def\crefpairconjunction@preamble{ og\nobreakspace}% + \def\crefmiddleconjunction@preamble{, }% + \def\creflastconjunction@preamble{ og\nobreakspace}% + \def\crefpairgroupconjunction@preamble{ og\nobreakspace}% + \def\crefmiddlegroupconjunction@preamble{, }% + \def\creflastgroupconjunction@preamble{ og\nobreakspace}% + % + \Crefname@preamble{equation}{Ligning}{Ligninger}% + \Crefname@preamble{figure}{Figur}{Figurer}% + \Crefname@preamble{table}{Tabel}{Tabeller}% + \Crefname@preamble{page}{Side}{Sider}% + \Crefname@preamble{part}{Del}{Dele}% + \Crefname@preamble{chapter}{Kapitel}{Kapitler}% + \Crefname@preamble{section}{Afsnit}{Afsnit}% + \Crefname@preamble{appendix}{Appendiks}{Appendiks}% + \Crefname@preamble{enumi}{Punkt}{Punkter}% + \Crefname@preamble{footnote}{Fodnote}{Fodnoter}% + \Crefname@preamble{theorem}{Teorem}{Teoremer}% + \Crefname@preamble{lemma}{Lemma}{Lemma}% + \Crefname@preamble{corollary}{F\o lgeslutning}{F\o lgeslutninger}% + \Crefname@preamble{proposition}{Udsagn}{Udsagn}% + \Crefname@preamble{definition}{Definition}{Definitioner}% + \Crefname@preamble{result}{Resultat}{Resultater}% + \Crefname@preamble{example}{Eksempel}{Eksempler}% + \Crefname@preamble{remark}{Bem\ae rkning}{Bem\ae rkninger}% + \Crefname@preamble{note}{Note}{Noter}% + \Crefname@preamble{algorithm}{Algoritme}{Algoritmer}% + \Crefname@preamble{line}{Linje}{Linjer}% + % + \if@cref@capitalise% + \crefname@preamble{equation}{Ligning}{Ligninger}% + \crefname@preamble{figure}{Figur}{Figurer}% + \crefname@preamble{table}{Tabel}{Tabeller}% + \crefname@preamble{page}{Side}{Sider}% + \crefname@preamble{part}{Del}{Dele}% + \crefname@preamble{chapter}{Kapitel}{Kapitler}% + \crefname@preamble{section}{Afsnit}{Afsnit}% + \crefname@preamble{appendix}{Appendiks}{Appendiks}% + \crefname@preamble{enumi}{Punkt}{Punkter}% + \crefname@preamble{footnote}{Fodnote}{Fodnoter}% + \crefname@preamble{theorem}{Teorem}{Teoremer}% + \crefname@preamble{lemma}{Lemma}{Lemma}% + \crefname@preamble{corollary}{F\o lgeslutning}{F\o lgeslutninger}% + \crefname@preamble{proposition}{Udsagn}{Udsagn}% + \crefname@preamble{definition}{Definition}{Definitioner}% + \crefname@preamble{result}{Resultat}{Resultater}% + \crefname@preamble{example}{Eksempel}{Eksempler}% + \crefname@preamble{remark}{Bem\ae rkning}{Bem\ae rkninger}% + \crefname@preamble{note}{Note}{Noter}% + \crefname@preamble{algorithm}{Algoritme}{Algoritmer}% + \crefname@preamble{line}{Linje}{Linjer}% + % + \else% + \crefname@preamble{equation}{ligning}{ligninger}% + \crefname@preamble{figure}{figur}{figurer}% + \crefname@preamble{table}{tabel}{tabeller}% + \crefname@preamble{page}{side}{sider}% + \crefname@preamble{part}{del}{dele}% + \crefname@preamble{chapter}{kapitel}{kapitler}% + \crefname@preamble{section}{afsnit}{afsnit}% + \crefname@preamble{appendix}{appendiks}{appendiks}% + \crefname@preamble{enumi}{punkt}{punkter}% + \crefname@preamble{footnote}{fodnote}{fodnoter}% + \crefname@preamble{theorem}{teorem}{teoremer}% + \crefname@preamble{lemma}{lemma}{lemma}% + \crefname@preamble{corollary}{f\o lgeslutning}{f\o lgeslutninger}% + \crefname@preamble{proposition}{udsagn}{udsagn}% + \crefname@preamble{definition}{definition}{definitioner}% + \crefname@preamble{result}{resultat}{resultater}% + \crefname@preamble{example}{eksempel}{eksempler}% + \crefname@preamble{remark}{bem\ae rkning}{bem\ae rkninger}% + \crefname@preamble{note}{note}{noter}% + \crefname@preamble{algorithm}{algoritme}{algoritmer}% + \crefname@preamble{line}{linje}{linjer}% + \fi% + \def\cref@language{danish}% + }}% end \DeclareOption and \AtBeginDocument +\cref@addlanguagedefs{danish}{% + \PackageInfo{cleveref}{loaded `danish' language definitions}% + \renewcommand{\crefrangeconjunction@preamble}{ til\nobreakspace}% + \renewcommand\crefrangepreconjunction@preamble{}% + \renewcommand\crefrangepostconjunction@preamble{}% + \renewcommand{\crefpairconjunction@preamble}{ og\nobreakspace}% + \renewcommand{\crefmiddleconjunction@preamble}{, }% + \renewcommand{\creflastconjunction@preamble}{ og\nobreakspace}% + \renewcommand{\crefpairgroupconjunction@preamble}{ og\nobreakspace}% + \renewcommand{\crefmiddlegroupconjunction@preamble}{, }% + \renewcommand{\creflastgroupconjunction@preamble}{ og\nobreakspace}% + % + \Crefname{equation}{Ligning}{Ligninger}% + \Crefname{figure}{Figur}{Figurer}% + \Crefname{subfigure}{Figur}{Figurer}% + \Crefname{table}{Tabel}{Tabeller}% + \Crefname{subtable}{Tabel}{Tabeller}% + \Crefname{page}{Side}{Sider}% + \Crefname{part}{Del}{Dele}% + \Crefname{chapter}{Kapitel}{Kapitler}% + \Crefname{section}{Afsnit}{Afsnit}% + \Crefname{subsection}{Afsnit}{Afsnit}% + \Crefname{subsubsection}{Afsnit}{Afsnit}% + \Crefname{appendix}{Appendiks}{Appendiks}% + \Crefname{subappendix}{Appendiks}{Appendiks}% + \Crefname{subsubappendix}{Appendiks}{Appendiks}% + \Crefname{subsubsubappendix}{Appendiks}{Appendiks}% + \Crefname{enumi}{Punkt}{Punkter}% + \Crefname{enumii}{Punkt}{Punkter}% + \Crefname{enumiii}{Punkt}{Punkter}% + \Crefname{enumiv}{Punkt}{Punkter}% + \Crefname{enumv}{Punkt}{Punkter}% + \Crefname{footnote}{Fodnote}{Fodnoter}% + \Crefname{theorem}{Teorem}{Teoremer}% + \Crefname{lemma}{Lemma}{Lemma}% + \Crefname{corollary}{F\o lgeslutning}{F\o lgeslutninger}% + \Crefname{proposition}{Udsagn}{Udsagn}% + \Crefname{definition}{Definition}{Definitioner}% + \Crefname{result}{Resultat}{Resultater}% + \Crefname{example}{Eksempel}{Eksempler}% + \Crefname{remark}{Bem\ae rkning}{Bem\ae rkninger}% + \Crefname{note}{Note}{Noter}% + \Crefname{algorithm}{Algoritme}{Algoritmer}% + \Crefname{line}{Linje}{Linjer}% + % + \if@cref@capitalise% + \crefname{equation}{Ligning}{Ligninger}% + \crefname{figure}{Figur}{Figurer}% + \crefname{subfigure}{Figur}{Figurer}% + \crefname{table}{Tabel}{Tabeller}% + \crefname{subtable}{Tabel}{Tabeller}% + \crefname{page}{Side}{Sider}% + \crefname{part}{Del}{Dele}% + \crefname{chapter}{Kapitel}{Kapitler}% + \crefname{section}{Afsnit}{Afsnit}% + \crefname{subsection}{Afsnit}{Afsnit}% + \crefname{subsubsection}{Afsnit}{Afsnit}% + \crefname{appendix}{Appendiks}{Appendiks}% + \crefname{subappendix}{Appendiks}{Appendiks}% + \crefname{subsubappendix}{Appendiks}{Appendiks}% + \crefname{subsubsubappendix}{Appendiks}{Appendiks}% + \crefname{enumi}{Punkt}{Punkter}% + \crefname{enumii}{Punkt}{Punkter}% + \crefname{enumiii}{Punkt}{Punkter}% + \crefname{enumiv}{Punkt}{Punkter}% + \crefname{enumv}{Punkt}{Punkter}% + \crefname{footnote}{Fodnote}{Fodnoter}% + \crefname{theorem}{Teorem}{Teoremer}% + \crefname{lemma}{Lemma}{Lemma}% + \crefname{corollary}{F\o lgeslutning}{F\o lgeslutninger}% + \crefname{proposition}{Udsagn}{Udsagn}% + \crefname{definition}{Definition}{Definitioner}% + \crefname{result}{Resultat}{Resultater}% + \crefname{example}{Eksempel}{Eksempler}% + \crefname{remark}{Bem\ae rkning}{Bem\ae rkninger}% + \crefname{note}{Note}{Noter}% + \crefname{algorithm}{Algoritme}{Algoritmer}% + \crefname{line}{Linje}{Linjer}% + % + \else% + \crefname{equation}{ligning}{ligninger}% + \crefname{figure}{figur}{figurer}% + \crefname{subfigure}{figur}{figurer}% + \crefname{table}{tabel}{tabeller}% + \crefname{subtable}{tabel}{tabeller}% + \crefname{page}{side}{sider}% + \crefname{part}{del}{dele}% + \crefname{chapter}{kapitel}{kapitler}% + \crefname{section}{afsnit}{afsnit}% + \crefname{subsection}{afsnit}{afsnit}% + \crefname{subsubsection}{afsnit}{afsnit}% + \crefname{appendix}{appendiks}{appendiks}% + \crefname{subappendix}{appendiks}{appendiks}% + \crefname{subsubappendix}{appendiks}{appendiks}% + \crefname{subsubsubappendix}{appendiks}{appendiks}% + \crefname{enumi}{punkt}{punkter}% + \crefname{enumii}{punkt}{punkter}% + \crefname{enumiii}{punkt}{punkter}% + \crefname{enumiv}{punkt}{punkter}% + \crefname{enumv}{punkt}{punkter}% + \crefname{footnote}{fodnote}{fodnoter}% + \crefname{theorem}{teorem}{teoremer}% + \crefname{lemma}{lemma}{lemma}% + \crefname{corollary}{f\o lgeslutning}{f\o lgeslutninger}% + \crefname{proposition}{udsagn}{udsagn}% + \crefname{definition}{definition}{definitioner}% + \crefname{result}{resultat}{resultater}% + \crefname{example}{eksempel}{eksempler}% + \crefname{remark}{bem\ae rkning}{bem\ae rkninger}% + \crefname{note}{note}{noter}% + \crefname{algorithm}{algoritme}{algoritmer}% + \crefname{line}{linje}{linjer}% + \fi}% end \cref@loadlanguagedefs +\DeclareOption{esperanto}{% + \AtBeginDocument{% + \def\crefrangeconjunction@preamble{ \^gis\nobreakspace}% + \def\crefrangepreconjunction@preamble{}% + \def\crefrangepostconjunction@preamble{}% + \def\crefpairconjunction@preamble{ kaj\nobreakspace}% + \def\crefmiddleconjunction@preamble{, }% + \def\creflastconjunction@preamble{ kaj\nobreakspace}% + \def\crefpairgroupconjunction@preamble{ kaj\nobreakspace}% + \def\crefmiddlegroupconjunction@preamble{, }% + \def\creflastgroupconjunction@preamble{ kaj\nobreakspace}% + \Crefname@preamble{equation}{Ekvacio}{Ekvacioj}% + \Crefname@preamble{part}{Parto}{Partoj}% + \Crefname@preamble{chapter}{\^Capitro}{\^Capitroj}% + \Crefname@preamble{section}{Sekcio}{Sekcioj}% + \Crefname@preamble{appendix}{Aldono}{Aldonoj}% + \Crefname@preamble{enumi}{Punkto}{Punktoj}% + \Crefname@preamble{footnote}{Piednoto}{Piednotoj}% + \Crefname@preamble{figure}{Figuro}{Figuroj}% + \Crefname@preamble{table}{Tabelo}{Tabeloj}% + \Crefname@preamble{theorem}{Teoremo}{Teoremoj}% + \Crefname@preamble{lemma}{Lemo}{Lemoj}% + \Crefname@preamble{corollary}{Korolario}{Korolarioj}% + \Crefname@preamble{proposition}{Propozicio}{Propozicioj}% + \Crefname@preamble{definition}{Defino}{Definoj}% + \Crefname@preamble{result}{Rezulto}{Rezultoj}% + \Crefname@preamble{example}{Ekzemplo}{Ekzemploj}% + \Crefname@preamble{remark}{Rimarko}{Rimarkoj}% + \Crefname@preamble{note}{Noto}{Notoj}% + \Crefname@preamble{algorithm}{Algoritmo}{Algoritmoj}% + \Crefname@preamble{listing}{Listado}{Listadoj}% + \Crefname@preamble{line}{Linio}{Linioj}% + \if@cref@capitalise% + \crefname@preamble{equation}{Ekvacio}{Ekvacioj}% + \crefname@preamble{part}{Parto}{Partoj}% + \crefname@preamble{chapter}{\^Capitro}{\^Capitroj}% + \crefname@preamble{section}{Sekcio}{Sekcioj}% + \crefname@preamble{appendix}{Aldono}{Aldonoj}% + \crefname@preamble{enumi}{Punkto}{Punktoj}% + \crefname@preamble{footnote}{Piednoto}{Piednotoj}% + \crefname@preamble{figure}{Figuro}{Figuroj}% + \crefname@preamble{table}{Tabelo}{Tabeloj}% + \crefname@preamble{theorem}{Teoremo}{Teoremoj}% + \crefname@preamble{lemma}{Lemo}{Lemoj}% + \crefname@preamble{corollary}{Korolario}{Korolarioj}% + \crefname@preamble{proposition}{Propozicio}{Propozicioj}% + \crefname@preamble{definition}{Defino}{Definoj}% + \crefname@preamble{result}{Rezulto}{Rezultoj}% + \crefname@preamble{example}{Ekzemplo}{Ekzemploj}% + \crefname@preamble{remark}{Rimarko}{Rimarkoj}% + \crefname@preamble{note}{Noto}{Notoj}% + \crefname@preamble{algorithm}{Algoritmo}{Algoritmoj}% + \crefname@preamble{listing}{Listado}{Listadoj}% + \crefname@preamble{line}{Linio}{Linioj}% + \else% + \crefname@preamble{equation}{ekvacio}{ekvacioj}% + \crefname@preamble{part}{parto}{partoj}% + \crefname@preamble{chapter}{\^capitro}{\^capitroj}% + \crefname@preamble{section}{sekcio}{sekcioj}% + \crefname@preamble{appendix}{aldono}{aldonoj}% + \crefname@preamble{enumi}{punkto}{punktoj}% + \crefname@preamble{footnote}{piednoto}{piednotoj}% + \crefname@preamble{figure}{figuro}{figuroj}% + \crefname@preamble{table}{tabelo}{tabeloj}% + \crefname@preamble{theorem}{teoremo}{teoremoj}% + \crefname@preamble{lemma}{lemo}{lemoj}% + \crefname@preamble{corollary}{korolario}{korolarioj}% + \crefname@preamble{proposition}{propozicio}{propozicioj}% + \crefname@preamble{definition}{defino}{definoj}% + \crefname@preamble{result}{rezulto}{rezultoj}% + \crefname@preamble{example}{ekzemplo}{ekzemploj}% + \crefname@preamble{remark}{rimarko}{rimarkoj}% + \crefname@preamble{note}{noto}{notoj}% + \crefname@preamble{algorithm}{algoritmo}{algoritmoj}% + \crefname@preamble{listing}{listado}{listadoj}% + \crefname@preamble{line}{linio}{linioj}% + \fi% + \def\cref@language{esperanto}% + }}% end \DeclareOption and \AtBeginDocument +\cref@addlanguagedefs{esperanto}{% + \PackageInfo{cleveref}{loaded `esperanto' language definitions}% + \renewcommand{\crefrangeconjunction}{ \^gis\nobreakspace}% + \renewcommand{\crefrangepreconjunction}{}% + \renewcommand{\crefrangepostconjunction}{}% + \renewcommand{\crefpairconjunction}{ kaj\nobreakspace}% + \renewcommand{\crefmiddleconjunction}{, }% + \renewcommand{\creflastconjunction}{ kaj\nobreakspace}% + \renewcommand{\crefpairgroupconjunction}{ kaj\nobreakspace}% + \renewcommand{\crefmiddlegroupconjunction}{, }% + \renewcommand{\creflastgroupconjunction}{ kaj\nobreakspace}% + \Crefname{equation}{Ekvacio}{Ekvacioj}% + \Crefname{part}{Parto}{Partoj}% + \Crefname{chapter}{\^Capitro}{\^Capitroj}% + \Crefname{section}{Sekcio}{Sekcioj}% + \Crefname{appendix}{Aldono}{Aldonoj}% + \Crefname{enumi}{Punkto}{Punktoj}% + \Crefname{footnote}{Piednoto}{Piednotoj}% + \Crefname{figure}{Figuro}{Figuroj}% + \Crefname{table}{Tabelo}{Tabeloj}% + \Crefname{theorem}{Teoremo}{Teoremoj}% + \Crefname{lemma}{Lemo}{Lemoj}% + \Crefname{corollary}{Korolario}{Korolarioj}% + \Crefname{proposition}{Propozicio}{Propozicioj}% + \Crefname{definition}{Defino}{Definoj}% + \Crefname{result}{Rezulto}{Rezultoj}% + \Crefname{example}{Ekzemplo}{Ekzemploj}% + \Crefname{remark}{Rimarko}{Rimarkoj}% + \Crefname{note}{Noto}{Notoj}% + \Crefname{algorithm}{Algoritmo}{Algoritmoj}% + \Crefname{listing}{Listado}{Listadoj}% + \Crefname{line}{Linio}{Linioj}% + \if@cref@capitalise% + \crefname{equation}{Ekvacio}{Ekvacioj}% + \crefname{part}{Parto}{Partoj}% + \crefname{chapter}{\^Capitro}{\^Capitroj}% + \crefname{section}{Sekcio}{Sekcioj}% + \crefname{appendix}{Aldono}{Aldonoj}% + \crefname{enumi}{Punkto}{Punktoj}% + \crefname{footnote}{Piednoto}{Piednotoj}% + \crefname{figure}{Figuro}{Figuroj}% + \crefname{table}{Tabelo}{Tabeloj}% + \crefname{theorem}{Teoremo}{Teoremoj}% + \crefname{lemma}{Lemo}{Lemoj}% + \crefname{corollary}{Korolario}{Korolarioj}% + \crefname{proposition}{Propozicio}{Propozicioj}% + \crefname{definition}{Defino}{Definoj}% + \crefname{result}{Rezulto}{Rezultoj}% + \crefname{example}{Ekzemplo}{Ekzemploj}% + \crefname{remark}{Rimarko}{Rimarkoj}% + \crefname{note}{Noto}{Notoj}% + \crefname{algorithm}{Algoritmo}{Algoritmoj}% + \crefname{listing}{Listado}{Listadoj}% + \crefname{line}{Linio}{Linioj}% + \else% + \crefname{equation}{ekvacio}{ekvacioj}% + \crefname{part}{parto}{partoj}% + \crefname{chapter}{\^capitro}{\^capitroj}% + \crefname{section}{sekcio}{sekcioj}% + \crefname{appendix}{aldono}{aldonoj}% + \crefname{enumi}{punkto}{punktoj}% + \crefname{footnote}{piednoto}{piednotoj}% + \crefname{figure}{figuro}{figuroj}% + \crefname{table}{tabelo}{tabeloj}% + \crefname{theorem}{teoremo}{teoremoj}% + \crefname{lemma}{lemo}{lemoj}% + \crefname{corollary}{korolario}{korolarioj}% + \crefname{proposition}{propozicio}{propozicioj}% + \crefname{definition}{defino}{definoj}% + \crefname{result}{rezulto}{rezultoj}% + \crefname{example}{ekzemplo}{ekzemploj}% + \crefname{remark}{rimarko}{rimarkoj}% + \crefname{note}{noto}{notoj}% + \crefname{algorithm}{algoritmo}{algoritmoj}% + \crefname{listing}{listado}{listadoj}% + \crefname{line}{linio}{linioj}% + \fi}% end \cref@loadlanguagedefs +\DeclareOption{swedish}{% + \AtBeginDocument{% + \def\crefrangeconjunction@preamble{ till\nobreakspace}% + \def\crefrangepreconjunction@preamble{}% + \def\crefrangepostconjunction@preamble{}% + \def\crefpairconjunction@preamble{ och\nobreakspace}% + \def\crefmiddleconjunction@preamble{, }% + \def\creflastconjunction@preamble{ och\nobreakspace}% + \def\crefpairgroupconjunction@preamble{ och\nobreakspace}% + \def\crefmiddlegroupconjunction@preamble{, }% + \def\creflastgroupconjunction@preamble{, och\nobreakspace}% + % + \Crefname@preamble{equation}{Ekvation}{Ekvation}% + \Crefname@preamble{figure}{Figur}{Figur}% + \Crefname@preamble{table}{Tabell}{Tabell}% + \Crefname@preamble{page}{Sida}{Sida}% + \Crefname@preamble{part}{Del}{Del}% + \Crefname@preamble{chapter}{Kapitel}{Kapitel}% + \Crefname@preamble{section}{Avsnitt}{Avsnitt}% + \Crefname@preamble{appendix}{Appendix}{Appendix}% + \Crefname@preamble{enumi}{Punkt}{Punkt}% + \Crefname@preamble{footnote}{Fotnot}{Fotnot}% + \Crefname@preamble{theorem}{Sats}{Sats}% + \Crefname@preamble{lemma}{Lemma}{Lemmas}% + \Crefname@preamble{corollary}{F\"oljdsats}{F\"oljdsats}% + \Crefname@preamble{proposition}{Proposition}{Proposition}% + \Crefname@preamble{definition}{Definition}{Definition}% + \Crefname@preamble{result}{Resultat}{Resultat}% + \Crefname@preamble{example}{Exempel}{Exempel}% + \Crefname@preamble{remark}{Anm\"arkning}{Anm\"arkning}% + \Crefname@preamble{note}{Notering}{Notering}% + \Crefname@preamble{algorithm}{Algoritm}{Algoritm}% + \Crefname@preamble{listing}{Kodlistning}{Kodlistning}% + \Crefname@preamble{line}{Rad}{Rad}% + % + \if@cref@capitalise% capitalise set + \if@cref@abbrev% + \crefname@preamble{equation}{Ekv.}{Ekv.}% + \crefname@preamble{figure}{Fig.}{Fig.}% + \else% + \crefname@preamble{equation}{Ekvation}{Ekvation}% + \crefname@preamble{figure}{Figur}{Figur}% + \fi% + \crefname@preamble{page}{Sida}{Sida}% + \crefname@preamble{table}{Tabell}{Tabell}% + \crefname@preamble{part}{Del}{Del}% + \crefname@preamble{chapter}{Kapitel}{Kapitel}% + \crefname@preamble{section}{Avsnitt}{Avsnitt}% + \crefname@preamble{appendix}{Appendix}{Appendix}% + \crefname@preamble{enumi}{Punkt}{Punkt}% + \crefname@preamble{footnote}{Fotnot}{Fotnot}% + \crefname@preamble{theorem}{Sats}{Sats}% + \crefname@preamble{lemma}{Lemma}{Lemmas}% + \crefname@preamble{corollary}{F\"oljdsats}{F\"oljdsats}% + \crefname@preamble{proposition}{Proposition}{Proposition}% + \crefname@preamble{definition}{Definition}{Definition}% + \crefname@preamble{result}{Resultat}{Resultat}% + \crefname@preamble{example}{Exempel}{Exempel}% + \crefname@preamble{remark}{Anm\"arkning}{Anm\"arkning}% + \crefname@preamble{note}{Notering}{Notering}% + \crefname@preamble{algorithm}{Algoritm}{Algoritm}% + \crefname@preamble{listing}{Kodlistning}{Kodlistning}% + \crefname@preamble{line}{Rad}{Rad}% + % + \else% capitalise unset + \if@cref@abbrev% + \crefname@preamble{equation}{ekv.}{ekv.}% + \crefname@preamble{figure}{fig.}{fig.}% + \crefname@preamble{page}{s.}{ss.}% + \else% + \crefname@preamble{equation}{ekvation}{ekvation}% + \crefname@preamble{figure}{figur}{figur}% + \crefname@preamble{page}{sida}{sida}% + \fi% + \crefname@preamble{table}{tabell}{tabell}% + \crefname@preamble{part}{del}{del}% + \crefname@preamble{chapter}{kapitel}{kapitel}% + \crefname@preamble{section}{avsnitt}{avsnitt}% + \crefname@preamble{appendix}{appendix}{appendix}% + \crefname@preamble{enumi}{punkt}{punkt}% + \crefname@preamble{footnote}{fotnot}{fotnot}% + \crefname@preamble{theorem}{sats}{sats}% + \crefname@preamble{lemma}{lemma}{lemmas}% + \crefname@preamble{corollary}{f\"oljdsats}{f\"oljdsats}% + \crefname@preamble{proposition}{proposition}{proposition}% + \crefname@preamble{definition}{definition}{definition}% + \crefname@preamble{result}{resultat}{resultat}% + \crefname@preamble{example}{exempel}{exempel}% + \crefname@preamble{remark}{anm\"arkning}{anm\"arkning}% + \crefname@preamble{note}{notering}{notering}% + \crefname@preamble{algorithm}{algoritm}{algoritm}% + \crefname@preamble{listing}{kodlistning}{kodlistning}% + \crefname@preamble{line}{rad}{rad}% + \fi% + \def\cref@language{swedish}% + }}% end \AtBeginDocument and \DeclareOption +\cref@addlanguagedefs{swedish}{% + \PackageInfo{cleveref}{loaded `swedish' language definitions}% + \renewcommand{\crefrangeconjunction}{ till\nobreakspace}% + \renewcommand\crefrangepreconjunction{}% + \renewcommand\crefrangepostconjunction{}% + \renewcommand{\crefpairconjunction}{ och\nobreakspace}% + \renewcommand{\crefmiddleconjunction}{, }% + \renewcommand{\creflastconjunction}{ och\nobreakspace}% + \renewcommand{\crefpairgroupconjunction}{ and\nobreakspace}% + \renewcommand{\crefmiddlegroupconjunction}{, }% + \renewcommand{\creflastgroupconjunction}{, and\nobreakspace}% + % + \Crefname{equation}{Ekvation}{Ekvation}% + \Crefname{figure}{Figur}{Figur}% + \Crefname{subfigure}{Figur}{Figur}% + \Crefname{table}{Tabell}{Tabell}% + \Crefname{subtable}{Tabell}{Tabell}% + \Crefname{page}{Sida}{Sida}% + \Crefname{part}{Del}{Del}% + \Crefname{chapter}{Kapitel}{Kapitel}% + \Crefname{section}{Avsnitt}{Avsnitt}% + \Crefname{subsection}{Avsnitt}{Avsnitt}% + \Crefname{subsubsection}{Avsnitt}{Avsnitt}% + \Crefname{appendix}{Appendix}{Appendix}% + \Crefname{subappendix}{Appendix}{Appendix}% + \Crefname{subsubappendix}{Appendix}{Appendix}% + \Crefname{subsubsubappendix}{Appendix}{Appendix}% + \Crefname{enumi}{Punkt}{Punkt}% + \Crefname{enumii}{Punkt}{Punkt}% + \Crefname{enumiii}{Punkt}{Punkt}% + \Crefname{enumiv}{Punkt}{Punkt}% + \Crefname{enumv}{Punkt}{Punkt}% + \Crefname{footnote}{Fotnot}{Fotnot}% + \Crefname{theorem}{Sats}{Sats}% + \Crefname{lemma}{Lemma}{Lemmas}% + \Crefname{corollary}{F\"oljdsats}{F\"oljdsats}% + \Crefname{proposition}{Proposition}{Proposition}% + \Crefname{definition}{Definition}{Definition}% + \Crefname{result}{Resultat}{Resultat}% + \Crefname{example}{Exempel}{Exempel}% + \Crefname{remark}{Anm\"arkning}{Anm\"arkning}% + \Crefname{note}{Notering}{Notering}% + \Crefname{algorithm}{Algoritm}{Algoritm}% + \Crefname{listing}{Kodlistning}{Kodlistning}% + \Crefname{line}{Rad}{Rad}% + % + \if@cref@capitalise% capitalise set + \if@cref@abbrev% + \crefname{equation}{Ekv.}{Ekv.}% + \crefname{figure}{Fig.}{Fig.}% + \crefname{subfigure}{Fig.}{Fig.}% + \else% + \crefname{equation}{Ekvation}{Ekvation}% + \crefname{figure}{Figur}{Figur}% + \crefname{subfigure}{Figur}{Figur}% + \fi% + \crefname{page}{Sida}{Sida}% + \crefname{table}{Tablell}{Tabell}% + \crefname{subtable}{Tabell}{Tabell}% + \crefname{part}{Del}{Del}% + \crefname{chapter}{Kapitel}{Kapitel}% + \crefname{section}{Avsnitt}{Avsnitt}% + \crefname{subsection}{Avsnitt}{Avsnitt}% + \crefname{subsubsection}{Avsnitt}{Avsnitt}% + \crefname{appendix}{Appendix}{Appendix}% + \crefname{subappendix}{Appendix}{Appendix}% + \crefname{subsubappendix}{Appendix}{Appendix}% + \crefname{subsubsubappendix}{Appendix}{Appendix}% + \crefname{enumi}{Punkt}{Punkt}% + \crefname{enumii}{Punkt}{Punkt}% + \crefname{enumiii}{Punkt}{Punkt}% + \crefname{enumiv}{Punkt}{Punkt}% + \crefname{enumv}{Punkt}{Punkt}% + \crefname{footnote}{Fotnot}{Fotnot}% + \crefname{theorem}{Sats}{Sats}% + \crefname{lemma}{Lemma}{Lemmas}% + \crefname{corollary}{F\"oljdsats}{F\"oljdsats}% + \crefname{proposition}{Proposition}{Proposition}% + \crefname{definition}{Definition}{Definition}% + \crefname{result}{Resultat}{Resultat}% + \crefname{example}{Exempel}{Exempel}% + \crefname{remark}{Anm\"arkning}{Anm\"arkning}% + \crefname{note}{Notering}{Notering}% + \crefname{algorithm}{Algoritm}{Algoritm}% + \crefname{listing}{Kodlistning}{Kodlistnings}% + \crefname{line}{Rad}{Rad}% + % + \else% capitalise unset + \if@cref@abbrev% + \crefname{equation}{ekv.}{ekv.}% + \crefname{figure}{fig.}{fig.}% + \crefname{subfigure}{fig.}{fig.}% + \crefname{page}{s.}{ss.}% + \else% + \crefname{equation}{ekvation}{ekvation}% + \crefname{figure}{figur}{figur}% + \crefname{subfigure}{figur}{figur}% + \crefname{page}{sida}{sida}% + \fi% + \crefname{table}{tablell}{tabell}% + \crefname{subtable}{tabell}{tabell}% + \crefname{part}{del}{del}% + \crefname{chapter}{kapitel}{kapitel}% + \crefname{section}{avsnitt}{avsnitt}% + \crefname{subsection}{avsnitt}{avsnitt}% + \crefname{subsubsection}{avsnitt}{avsnitt}% + \crefname{appendix}{appendix}{appendix}% + \crefname{subappendix}{appendix}{appendix}% + \crefname{subsubappendix}{appendix}{appendix}% + \crefname{subsubsubappendix}{appendix}{appendix}% + \crefname{enumi}{punkt}{punkt}% + \crefname{enumii}{punkt}{punkt}% + \crefname{enumiii}{punkt}{punkt}% + \crefname{enumiv}{punkt}{punkt}% + \crefname{enumv}{punkt}{punkt}% + \crefname{footnote}{fotnot}{fotnot}% + \crefname{theorem}{sats}{sats}% + \crefname{lemma}{lemma}{lemmas}% + \crefname{corollary}{f\"oljdsats}{f\"oljdsats}% + \crefname{proposition}{proposition}{proposition}% + \crefname{definition}{definition}{definition}% + \crefname{result}{resultat}{resultat}% + \crefname{example}{exempel}{exempel}% + \crefname{remark}{anm\"arkning}{anm\"arkning}% + \crefname{note}{notering}{notering}% + \crefname{algorithm}{algoritm}{algoritm}% + \crefname{listing}{kodlistning}{kodlistnings}% + \crefname{line}{rad}{rad}% + \fi}% end \cref@addlangagedefs +\DeclareOption{brazilian}{% + \AtBeginDocument{% + \def\crefrangeconjunction@preamble{ a\nobreakspace}% + \def\crefrangepreconjunction@preamble{}% + \def\crefrangepostconjunction@preamble{}% + \def\crefpairconjunction@preamble{ e\nobreakspace}% + \def\crefmiddleconjunction@preamble{, }% + \def\creflastconjunction@preamble{ e\nobreakspace}% + \def\crefpairgroupconjunction@preamble{ e\nobreakspace}% + \def\crefmiddlegroupconjunction@preamble{, }% + \def\creflastgroupconjunction@preamble{, e\nobreakspace}% + % + \Crefname@preamble{equation}{Equa\c c\~ao}{Equa\c c\~oes}% + \Crefname@preamble{figure}{Figura}{Figuras}% + \Crefname@preamble{table}{Tabela}{Tabelas}% + \Crefname@preamble{page}{P\'agina}{P\'aginas}% + \Crefname@preamble{part}{Parte}{Partes}% + \Crefname@preamble{chapter}{Cap\'itulo}{Cap\'itulos}% + \Crefname@preamble{section}{Se\c c\~ao}{Se\c c\~oes}% + \Crefname@preamble{appendix}{Ap\^endice}{Ap\^endices}% + \Crefname@preamble{enumi}{Item}{Itens}% + \Crefname@preamble{footnote}{Nota de rodap\'e}{Notas de rodap\'e}% + \Crefname@preamble{theorem}{Teorema}{Teoremas}% + \Crefname@preamble{lemma}{Lema}{Lemas}% + \Crefname@preamble{corollary}{Corol\'ario}{Corol\'arios}% + \Crefname@preamble{proposition}{Proposi\c c\~ao}{Proposi\c c\~oes}% + \Crefname@preamble{definition}{Defini\c c\~ao}{Defini\c c\~oes}% + \Crefname@preamble{result}{Resultado}{Resultados}% + \Crefname@preamble{example}{Exemplo}{Exemplos}% + \Crefname@preamble{remark}{Observa\c c\~ao}{Observa\c c\~oes}% + \Crefname@preamble{note}{Nota}{Notas}% + \Crefname@preamble{algorithm}{Algoritmo}{Algoritmos}% + \Crefname@preamble{listing}{Listagem}{Listagens}% + \Crefname@preamble{line}{Linha}{Linhas}% + % + \if@cref@capitalise% capitalise set + \if@cref@abbrev% + \crefname@preamble{equation}{Eq.}{Eqs.}% + \crefname@preamble{figure}{Fig.}{Figs.}% + \else% + \crefname@preamble{equation}{Equa\c c\~ao}{Equa\c c\~oes}% + \crefname@preamble{figure}{Figura}{Figuras}% + \fi% + \crefname@preamble{page}{P\'agina}{P\'aginas}% + \crefname@preamble{table}{Tabela}{Tabelas}% + \crefname@preamble{part}{Parte}{Partes}% + \crefname@preamble{chapter}{Cap\'itulo}{Cap\'itulos}% + \crefname@preamble{section}{Se\c c\~ao}{Se\c c\~oes}% + \crefname@preamble{appendix}{Ap\^endice}{Ap\^endices}% + \crefname@preamble{enumi}{Item}{Itens}% + \crefname@preamble{footnote}{Nota de rodap\'e}{Notas de rodap\'e}% + \crefname@preamble{theorem}{Teorema}{Teoremas}% + \crefname@preamble{lemma}{Lema}{Lemas}% + \crefname@preamble{corollary}{Corol\'ario}{Corol\'arios}% + \crefname@preamble{proposition}{Proposi\c c\~ao}{Proposi\c c\~oes}% + \crefname@preamble{definition}{Defini\c c\~ao}{Defini\c c\~oes}% + \crefname@preamble{result}{Resultado}{Resultados}% + \crefname@preamble{example}{Exemplo}{Exemplos}% + \crefname@preamble{remark}{Observa\c c\~ao}{Observa\c c\~oes}% + \crefname@preamble{note}{Nota}{Notas}% + \crefname@preamble{algorithm}{Algoritmo}{Algoritmos}% + \crefname@preamble{listing}{Listagem}{Listagens}% + \crefname@preamble{line}{Linha}{Linhas}% + % + \else% capitalise unset + \if@cref@abbrev% + \crefname@preamble{equation}{eq.}{eqs.}% + \crefname@preamble{figure}{fig.}{figs.}% + \else% + \crefname@preamble{equation}{equa\c c\~ao}{equa\c c\~oes}% + \crefname@preamble{figure}{figura}{figuras}% + \fi% + \crefname@preamble{page}{p\'agina}{p\'aginas}% + \crefname@preamble{table}{tabela}{tabelas}% + \crefname@preamble{part}{parte}{partes}% + \crefname@preamble{chapter}{cap\'itulo}{cap\'itulos}% + \crefname@preamble{section}{se\c c\~ao}{se\c c\~oes}% + \crefname@preamble{appendix}{ap\^endice}{ap\^endices}% + \crefname@preamble{enumi}{item}{itens}% + \crefname@preamble{footnote}{nota de rodap\'e}{notas de rodap\'e}% + \crefname@preamble{theorem}{teorema}{teoremas}% + \crefname@preamble{lemma}{lema}{lemas}% + \crefname@preamble{corollary}{corol\'ario}{corol\'arios}% + \crefname@preamble{proposition}{proposi\c c\~ao}{proposi\c c\~oes}% + \crefname@preamble{definition}{defini\c c\~ao}{defini\c c\~oes}% + \crefname@preamble{result}{resultado}{resultados}% + \crefname@preamble{example}{exemplo}{exemplos}% + \crefname@preamble{remark}{observa\c c\~ao}{observa\c c\~oes}% + \crefname@preamble{note}{nota}{notas}% + \crefname@preamble{algorithm}{algoritmo}{algoritmos}% + \crefname@preamble{listing}{listagem}{listagens}% + \crefname@preamble{line}{linha}{linhas}% + \fi% + \def\cref@language{brazilian}% + }}% end \AtBeginDocument and \DeclareOption +\cref@addlanguagedefs{brazilian}{% + \PackageInfo{cleveref}{loaded `brazilian' language definitions}% + \renewcommand{\crefrangeconjunction}{ a\nobreakspace}% + \renewcommand\crefrangepreconjunction{}% + \renewcommand\crefrangepostconjunction{}% + \renewcommand{\crefpairconjunction}{ e\nobreakspace}% + \renewcommand{\crefmiddleconjunction}{, }% + \renewcommand{\creflastconjunction}{ e\nobreakspace}% + \renewcommand{\crefpairgroupconjunction}{ e\nobreakspace}% + \renewcommand{\crefmiddlegroupconjunction}{, }% + \renewcommand{\creflastgroupconjunction}{ e\nobreakspace}% + % + \Crefname{equation}{Equa\c c\~ao}{Equa\c c\~oes}% + \Crefname{figure}{Figura}{Figuras}% + \Crefname{subfigure}{Figura}{Figuras}% + \Crefname{table}{Tabela}{Tabelas}% + \Crefname{subtable}{Tabela}{Tabelas}% + \Crefname{page}{P\'agina}{P\'aginas}% + \Crefname{part}{Parte}{Partes}% + \Crefname{chapter}{Cap\'itulo}{Cap\'itulos}% + \Crefname{section}{Se\c c\~ao}{Se\c c\~oes}% + \Crefname{subsection}{Se\c c\~ao}{Se\c c\~oes}% + \Crefname{subsubsection}{Se\c c\~ao}{Se\c c\~oes}% + \Crefname{appendix}{Ap\^endice}{Ap\^endices}% + \Crefname{subappendix}{Ap\^endice}{Ap\^endices}% + \Crefname{subsubappendix}{Ap\^endice}{Ap\^endices}% + \Crefname{subsubsubappendix}{Ap\^endice}{Ap\^endices}% + \Crefname{enumi}{Item}{Itens}% + \Crefname{enumii}{Item}{Itens}% + \Crefname{enumiii}{Item}{Itens}% + \Crefname{enumiv}{Item}{Itens}% + \Crefname{enumv}{Item}{Itens}% + \Crefname{footnote}{Nota de rodap\'e}{Notas de rodap\'e}% + \Crefname{theorem}{Teorema}{Teoremas}% + \Crefname{lemma}{Lema}{Lemas}% + \Crefname{corollary}{Corol\'ario}{Corol\'arios}% + \Crefname{proposition}{Proposi\c c\~ao}{Proposi\c c\~oes}% + \Crefname{definition}{Defini\c c\~ao}{Defini\c c\~oes}% + \Crefname{result}{Resultado}{Resultados}% + \Crefname{example}{Exemplo}{Exemplos}% + \Crefname{remark}{Observa\c c\~ao}{Observa\c c\~oes}% + \Crefname{note}{Nota}{Notas}% + \Crefname{algorithm}{Algoritmo}{Algoritmos}% + \Crefname{listing}{Listagem}{Listagens}% + \Crefname{line}{Linha}{Linhas}% + % + \if@cref@capitalise% capitalise set + \if@cref@abbrev% + \crefname{equation}{Eq.}{Eqs.}% + \crefname{figure}{Fig.}{Figs.}% + \crefname{subfigure}{Fig.}{Figs.}% + \else% + \crefname{equation}{Equa\c c\~ao}{Equa\c c\~oes}% + \crefname{figure}{Figura}{Figuras}% + \crefname{subfigure}{Figura}{Figuras}% + \fi% + \crefname{page}{P\'agina}{P\'aginas}% + \crefname{table}{Tabela}{Tabelas}% + \crefname{subtable}{Tabela}{Tabelas}% + \crefname{part}{Parte}{Partes}% + \crefname{chapter}{Cap\'itulo}{Cap\'itulos}% + \crefname{section}{Se\c c\~ao}{Se\c c\~oes}% + \crefname{subsection}{Se\c c\~ao}{Se\c c\~oes}% + \crefname{subsubsection}{Se\c c\~ao}{Se\c c\~oes}% + \crefname{appendix}{Ap\^endice}{Ap\^endices}% + \crefname{subappendix}{Ap\^endice}{Ap\^endices}% + \crefname{subsubappendix}{Ap\^endice}{Ap\^endices}% + \crefname{subsubsubappendix}{Ap\^endice}{Ap\^endices}% + \crefname{enumi}{Item}{Itens}% + \crefname{enumii}{Item}{Itens}% + \crefname{enumiii}{Item}{Itens}% + \crefname{enumiv}{Item}{Itens}% + \crefname{enumv}{Item}{Itens}% + \crefname{footnote}{Nota de rodap\'e}{Notas de rodap\'e}% + \crefname{theorem}{Teorema}{Teoremas}% + \crefname{lemma}{Lema}{Lemas}% + \crefname{corollary}{Corol\'ario}{Corol\'arios}% + \crefname{proposition}{Proposi\c c\~ao}{Proposi\c c\~oes}% + \crefname{definition}{Defini\c c\~ao}{Defini\c c\~oes}% + \crefname{result}{Resultado}{Resultados}% + \crefname{example}{Exemplo}{Exemplos}% + \crefname{remark}{Observa\c c\~ao}{Observa\c c\~oes}% + \crefname{note}{Nota}{Notas}% + \crefname{algorithm}{Algoritmo}{Algoritmos}% + \crefname{listing}{Listagem}{Listagens}% + \crefname{line}{Linha}{Linhas}% + % + \else% capitalise unset + \if@cref@abbrev% + \crefname{equation}{eq.}{eqs.}% + \crefname{figure}{fig.}{figs.}% + \crefname{subfigure}{fig.}{figs.}% + \else% + \crefname{equation}{equa\c c\~ao}{equa\c c\~oes}% + \crefname{figure}{figura}{figuras}% + \crefname{subfigure}{figura}{figuras}% + \fi% + \crefname{table}{tabela}{tabelas}% + \crefname{subtable}{tabela}{tabelas}% + \crefname{page}{p\'agina}{p\'aginas}% + \crefname{part}{parte}{partes}% + \crefname{chapter}{cap\'itulo}{cap\'itulos}% + \crefname{section}{se\c c\~ao}{se\c c\~oes}% + \crefname{subsection}{se\c c\~ao}{se\c c\~oes}% + \crefname{subsubsection}{se\c c\~ao}{se\c c\~oes}% + \crefname{appendix}{ap\^endice}{ap\^endices}% + \crefname{subappendix}{ap\^endice}{ap\^endices}% + \crefname{subsubappendix}{ap\^endice}{ap\^endices}% + \crefname{subsubsubappendix}{ap\^endice}{ap\^endices}% + \crefname{enumi}{item}{itens}% + \crefname{enumii}{item}{itens}% + \crefname{enumiii}{item}{itens}% + \crefname{enumiv}{item}{itens}% + \crefname{enumv}{item}{itens}% + \crefname{footnote}{nota de rodap\'e}{notas de rodap\'e}% + \crefname{theorem}{teorema}{teoremas}% + \crefname{lemma}{lema}{lemas}% + \crefname{corollary}{corol\'ario}{corol\'arios}% + \crefname{proposition}{proposi\c c\~ao}{proposi\c c\~oes}% + \crefname{definition}{defini\c c\~ao}{defini\c c\~oes}% + \crefname{result}{resultado}{resultados}% + \crefname{example}{exemplo}{exemplos}% + \crefname{remark}{observa\c c\~ao}{observa\c c\~oes}% + \crefname{note}{nota}{notas}% + \crefname{algorithm}{algoritmo}{algoritmos}% + \crefname{listing}{listagem}{listagens}% + \crefname{line}{linha}{linhas}% + \fi}% end \cref@addlangagedefs +\edef\@curroptions{\@ptionlist{\@currname.\@currext}}% +\@expandtwoargs\in@{,capitalise,}{% + ,\@classoptionslist,\@curroptions,}% +\ifin@% + \ExecuteOptions{capitalise}% +\else% + \@expandtwoargs\in@{,capitalize,}{% + ,\@classoptionslist,\@curroptions,}% + \ifin@% + \ExecuteOptions{capitalise}% + \fi% +\fi% +\@expandtwoargs\in@{,nameinlink,}{% + ,\@classoptionslist,\@curroptions,}% +\ifin@% + \ExecuteOptions{nameinlink}% +\fi% +\crefdefaultlabelformat{#2#1#3}% +\if@cref@nameinlink% + \creflabelformat{equation}{#2\textup{(#1)}#3}% +\else% + \creflabelformat{equation}{\textup{(#2#1#3)}}% +\fi% +\@labelcrefdefinedefaultformats% +\@ifpackageloaded{polyglossia}% + {\ifcsdef{languagename}% + {\ExecuteOptions{\languagename}}% + {\PackageWarning{cleveref}% + {`polyglossia' loaded but default language not set + - defaulting to english}% + \ExecuteOptions{english}}}% + {\ExecuteOptions{english}}% +\ProcessOptions*\relax% +\AtBeginDocument{% + \edef\@tempa{% + \expandafter\noexpand\csname extras\cref@language\endcsname}% + \@ifundefined{crefrangeconjunction}{% + \let\crefrangeconjunction\crefrangeconjunction@preamble% + }{% + \expandafter\def\expandafter\@tempb\expandafter{% + \expandafter\renewcommand\expandafter% + {\expandafter\crefrangeconjunction\expandafter}% + \expandafter{\crefrangeconjunction}}% + \expandafter\expandafter\expandafter\cref@addto% + \expandafter\@tempa\expandafter{\@tempb}% + }% + \@ifundefined{crefrangepreconjunction}{% + \let\crefrangepreconjunction\crefrangepreconjunction@preamble% + }{% + \expandafter\def\expandafter\@tempb\expandafter{% + \expandafter\renewcommand\expandafter% + {\expandafter\crefrangepreconjunction\expandafter}% + \expandafter{\crefrangepreconjunction}}% + \expandafter\expandafter\expandafter\cref@addto% + \expandafter\@tempa\expandafter{\@tempb}% + }% + \@ifundefined{crefrangepostconjunction}{% + \let\crefrangepostconjunction\crefrangepostconjunction@preamble% + }{% + \expandafter\def\expandafter\@tempb\expandafter{% + \expandafter\renewcommand\expandafter% + {\expandafter\crefrangepostconjunction\expandafter}% + \expandafter{\crefrangepostconjunction}}% + \expandafter\expandafter\expandafter\cref@addto% + \expandafter\@tempa\expandafter{\@tempb}% + }% + \@ifundefined{crefpairconjunction}{% + \let\crefpairconjunction\crefpairconjunction@preamble% + }{% + \expandafter\def\expandafter\@tempb\expandafter{% + \expandafter\renewcommand\expandafter% + {\expandafter\crefpairconjunction\expandafter}% + \expandafter{\crefpairconjunction}}% + \expandafter\expandafter\expandafter\cref@addto% + \expandafter\@tempa\expandafter{\@tempb}% + \@ifundefined{crefpairgroupconjunction}{% + \let\crefpairgroupconjunction\crefpairconjunction}{}% + }% + \@ifundefined{crefmiddleconjunction}{% + \let\crefmiddleconjunction\crefmiddleconjunction@preamble% + }{% + \expandafter\def\expandafter\@tempb\expandafter{% + \expandafter\renewcommand\expandafter% + {\expandafter\crefmiddleconjunction\expandafter}% + \expandafter{\crefmiddleconjunction}}% + \expandafter\expandafter\expandafter\cref@addto% + \expandafter\@tempa\expandafter{\@tempb}% + \@ifundefined{crefmiddlegroupconjunction}{% + \let\crefmiddlegroupconjunction\crefmiddleconjunction}{}% + }% + \@ifundefined{creflastconjunction}{% + \let\creflastconjunction\creflastconjunction@preamble% + }{% + \expandafter\def\expandafter\@tempb\expandafter{% + \expandafter\renewcommand\expandafter% + {\expandafter\creflastconjunction\expandafter}% + \expandafter{\creflastconjunction}}% + \expandafter\expandafter\expandafter\cref@addto% + \expandafter\@tempa\expandafter{\@tempb}% + \@ifundefined{creflastgroupconjunction}{% + \edef\creflastgroupconjunction{, \creflastconjunction}}{}% + }% + \@ifundefined{crefpairgroupconjunction}{% + \let\crefpairgroupconjunction% + \crefpairgroupconjunction@preamble% + }{% + \expandafter\def\expandafter\@tempb\expandafter{% + \expandafter\renewcommand\expandafter% + {\expandafter\crefpairgroupconjunction\expandafter}% + \expandafter{\crefpairgroupconjunction}}% + \expandafter\expandafter\expandafter\cref@addto% + \expandafter\@tempa\expandafter{\@tempb}% + }% + \@ifundefined{crefmiddlegroupconjunction}{% + \let\crefmiddlegroupconjunction% + \crefmiddlegroupconjunction@preamble% + }{% + \expandafter\def\expandafter\@tempb\expandafter{% + \expandafter\renewcommand\expandafter% + {\expandafter\crefmiddlegroupconjunction\expandafter}% + \expandafter{\crefmiddlegroupconjunction}}% + \expandafter\expandafter\expandafter\cref@addto% + \expandafter\@tempa\expandafter{\@tempb}% + }% + \@ifundefined{creflastgroupconjunction}{% + \let\creflastgroupconjunction% + \creflastgroupconjunction@preamble% + }{% + \expandafter\def\expandafter\@tempb\expandafter{% + \expandafter\renewcommand\expandafter% + {\expandafter\creflastgroupconjunction\expandafter}% + \expandafter{\creflastgroupconjunction}}% + \expandafter\expandafter\expandafter\cref@addto% + \expandafter\@tempa\expandafter{\@tempb}% + }% + \let\@tempstack\cref@label@types% + \cref@isstackfull{\@tempstack}% + \@whilesw\if@cref@stackfull\fi{% + \edef\@tempa{\cref@stack@top{\@tempstack}}% + \@ifundefined{cref@\@tempa @name}{% + \expandafter\def\expandafter\@tempb\expandafter{% + \csname cref@\@tempa @name\endcsname}% + \expandafter\def\expandafter\@tempc\expandafter{% + \csname cref@\@tempa @name@preamble\endcsname}% + \expandafter\expandafter\expandafter% + \let\expandafter\@tempb\@tempc% + \expandafter\def\expandafter\@tempb\expandafter{% + \csname cref@\@tempa @name@plural\endcsname}% + \expandafter\def\expandafter\@tempc\expandafter{% + \csname cref@\@tempa @name@plural@preamble\endcsname}% + \expandafter\expandafter\expandafter% + \let\expandafter\@tempb\@tempc% + }{% + \edef\@tempb{% + \expandafter\noexpand\csname extras\cref@language\endcsname}% + \expandafter\def\expandafter\@tempc\expandafter{% + \expandafter\crefname\expandafter{\@tempa}}% + \expandafter\expandafter\expandafter\cref@addto% + \expandafter\expandafter\expandafter\@tempc% + \expandafter\expandafter\expandafter{% + \expandafter\expandafter\expandafter{% + \csname cref@\@tempa @name\endcsname}}% + \expandafter\expandafter\expandafter\cref@addto% + \expandafter\expandafter\expandafter\@tempc% + \expandafter\expandafter\expandafter{% + \expandafter\expandafter\expandafter{% + \csname cref@\@tempa @name@plural\endcsname}}% + \expandafter\expandafter\expandafter\cref@addto% + \expandafter\@tempb\expandafter{\@tempc}% + }% + \@ifundefined{Cref@\@tempa @name}{% + \expandafter\def\expandafter\@tempb\expandafter{% + \csname Cref@\@tempa @name\endcsname}% + \expandafter\def\expandafter\@tempc\expandafter{% + \csname Cref@\@tempa @name@preamble\endcsname}% + \expandafter\expandafter\expandafter% + \let\expandafter\@tempb\@tempc% + \expandafter\def\expandafter\@tempb\expandafter{% + \csname Cref@\@tempa @name@plural\endcsname}% + \expandafter\def\expandafter\@tempc\expandafter{% + \csname Cref@\@tempa @name@plural@preamble\endcsname}% + \expandafter\expandafter\expandafter% + \let\expandafter\@tempb\@tempc% + }{% + \edef\@tempb{% + \expandafter\noexpand\csname extras\cref@language\endcsname}% + \expandafter\def\expandafter\@tempc\expandafter{% + \expandafter\Crefname\expandafter{\@tempa}}% + \expandafter\expandafter\expandafter\cref@addto% + \expandafter\expandafter\expandafter\@tempc% + \expandafter\expandafter\expandafter{% + \expandafter\expandafter\expandafter{% + \csname Cref@\@tempa @name\endcsname}}% + \expandafter\expandafter\expandafter\cref@addto% + \expandafter\expandafter\expandafter\@tempc% + \expandafter\expandafter\expandafter{% + \expandafter\expandafter\expandafter{% + \csname Cref@\@tempa @name@plural\endcsname}}% + \expandafter\expandafter\expandafter\cref@addto% + \expandafter\@tempb\expandafter{\@tempc}% + }% + \@ifundefined{cref@\@tempa @format}{% + \@ifundefined{cref@\@tempa @name}{}{% + \expandafter\@crefdefineformat\expandafter{\@tempa}}}{}% + \@ifundefined{crefrange@\@tempa @format}{% + \@ifundefined{cref@\@tempa @name@plural}{}{% + \expandafter\@crefrangedefineformat\expandafter{\@tempa}}}{}% + \@ifundefined{cref@\@tempa @format@first}{% + \@ifundefined{cref@\@tempa @name@plural}{}{% + \expandafter\@crefdefinemultiformat\expandafter{\@tempa}}}{}% + \@ifundefined{crefrange@\@tempa @format@first}{% + \@ifundefined{cref@\@tempa @name@plural}{}{% + \expandafter\@crefrangedefinemultiformat% + \expandafter{\@tempa}}}{}% + \cref@stack@pop{\@tempstack}% + \cref@isstackfull{\@tempstack}}% + \@ifundefined{cref@subsection@name}{% + \let\cref@subsection@name\cref@section@name% + \let\cref@subsection@name@plural\cref@section@name@plural}{}% + \@ifundefined{Cref@subsection@name}{% + \let\Cref@subsection@name\Cref@section@name% + \let\Cref@subsection@name@plural\Cref@section@name@plural}{}% + \@ifundefined{cref@subsection@format}{% + \let\cref@subsection@format\cref@section@format}{}% + \@ifundefined{Cref@subsection@format}{% + \let\Cref@subsection@format\Cref@section@format}{}% + \@ifundefined{crefrange@subsection@format}{% + \let\crefrange@subsection@format% + \crefrange@section@format}{}% + \@ifundefined{Crefrange@subsection@format}{% + \let\Crefrange@subsection@format% + \Crefrange@section@format}{}% + \@ifundefined{cref@subsection@format@first}{% + \let\cref@subsection@format@first% + \cref@section@format@first}{}% + \@ifundefined{Cref@subsection@format@first}{% + \let\Cref@subsection@format@first% + \Cref@section@format@first}{}% + \@ifundefined{cref@subsection@format@second}{% + \let\cref@subsection@format@second% + \cref@section@format@second}{}% + \@ifundefined{Cref@subsection@format@second}{% + \let\Cref@subsection@format@second% + \Cref@section@format@second}{}% + \@ifundefined{cref@subsection@format@middle}{% + \let\cref@subsection@format@middle% + \cref@section@format@middle}{}% + \@ifundefined{Cref@subsection@format@middle}{% + \let\Cref@subsection@format@middle% + \Cref@section@format@middle}{}% + \@ifundefined{cref@subsection@format@last}{% + \let\cref@subsection@format@last% + \cref@section@format@last}{}% + \@ifundefined{Cref@subsection@format@last}{% + \let\Cref@subsection@format@last% + \Cref@section@format@last}{}% + \@ifundefined{crefrange@subsection@format@first}{% + \let\crefrange@subsection@format@first% + \crefrange@section@format@first}{}% + \@ifundefined{Crefrange@subsection@format@first}{% + \let\Crefrange@subsection@format@first% + \Crefrange@section@format@first}{}% + \@ifundefined{crefrange@subsection@format@second}{% + \let\crefrange@subsection@format@second% + \crefrange@section@format@second}{}% + \@ifundefined{Crefrange@subsection@format@second}{% + \let\Crefrange@subsection@format@second% + \Crefrange@section@format@second}{}% + \@ifundefined{crefrange@subsection@format@middle}{% + \let\crefrange@subsection@format@middle% + \crefrange@section@format@middle}{}% + \@ifundefined{Crefrange@subsection@format@middle}{% + \let\Crefrange@subsection@format@middle% + \Crefrange@section@format@middle}{}% + \@ifundefined{crefrange@subsection@format@last}{% + \let\crefrange@subsection@format@last% + \crefrange@section@format@last}{}% + \@ifundefined{Crefrange@subsection@format@last}{% + \let\Crefrange@subsection@format@last% + \Crefrange@section@format@last}{}% + \@ifundefined{cref@subsubsection@name}{% + \let\cref@subsubsection@name\cref@section@name% + \let\cref@subsubsection@name@plural\cref@section@name@plural}{}% + \@ifundefined{Cref@subsection@name}{% + \let\Cref@subsection@name\Cref@section@name% + \let\Cref@subsection@name@plural\Cref@section@name@plural}{}% + \@ifundefined{cref@subsubsection@format}{% + \let\cref@subsubsection@format% + \cref@subsection@format}{}% + \@ifundefined{Cref@subsubsection@format}{% + \let\Cref@subsubsection@format% + \Cref@subsection@format}{}% + \@ifundefined{crefrange@subsubsection@format}{% + \let\crefrange@subsubsection@format% + \crefrange@subsection@format}{}% + \@ifundefined{Crefrange@subsubsection@format}{% + \let\Crefrange@subsubsection@format% + \Crefrange@subsection@format}{}% + \@ifundefined{cref@subsubsection@format@first}{% + \let\cref@subsubsection@format@first% + \cref@subsection@format@first}{}% + \@ifundefined{Cref@subsubsection@format@first}{% + \let\Cref@subsubsection@format@first% + \Cref@subsection@format@first}{}% + \@ifundefined{cref@subsubsection@format@second}{% + \let\cref@subsubsection@format@second% + \cref@subsection@format@second}{}% + \@ifundefined{Cref@subsubsection@format@second}{% + \let\Cref@subsubsection@format@second% + \Cref@subsection@format@second}{}% + \@ifundefined{cref@subsubsection@format@middle}{% + \let\cref@subsubsection@format@middle% + \cref@subsection@format@middle}{}% + \@ifundefined{Cref@subsubsection@format@middle}{% + \let\Cref@subsubsection@format@middle% + \Cref@subsection@format@middle}{}% + \@ifundefined{cref@subsubsection@format@last}{% + \let\cref@subsubsection@format@last% + \cref@subsection@format@last}{}% + \@ifundefined{Cref@subsubsection@format@last}{% + \let\Cref@subsubsection@format@last% + \Cref@subsection@format@last}{}% + \@ifundefined{crefrange@subsubsection@format@first}{% + \let\crefrange@subsubsection@format@first% + \crefrange@subsection@format@first}{}% + \@ifundefined{Crefrange@subsubsection@format@first}{% + \let\Crefrange@subsubsection@format@first% + \Crefrange@subsection@format@first}{}% + \@ifundefined{crefrange@subsubsection@format@second}{% + \let\crefrange@subsubsection@format@second% + \crefrange@subsection@format@second}{}% + \@ifundefined{Crefrange@subsubsection@format@second}{% + \let\Crefrange@subsubsection@format@second% + \Crefrange@subsection@format@second}{}% + \@ifundefined{crefrange@subsubsection@format@middle}{% + \let\crefrange@subsubsection@format@middle% + \crefrange@subsection@format@middle}{}% + \@ifundefined{Crefrange@subsubsection@format@middle}{% + \let\Crefrange@subsubsection@format@middle% + \Crefrange@subsection@format@middle}{}% + \@ifundefined{crefrange@subsubsection@format@last}{% + \let\crefrange@subsubsection@format@last% + \crefrange@subsection@format@last}{}% + \@ifundefined{Crefrange@subsubsection@format@last}{% + \let\Crefrange@subsubsection@format@last% + \Crefrange@subsection@format@last}{}% + \@ifundefined{cref@subappendix@name}{% + \let\cref@subappendix@name\cref@appendix@name% + \let\cref@subappendix@name@plural% + \cref@appendix@name@plural}{}% + \@ifundefined{Cref@subappendix@name}{% + \let\Cref@subappendix@name\Cref@section@name% + \let\Cref@subappendixsection@name@plural% + \Cref@appendix@name@plural}{}% + \@ifundefined{cref@subappendix@format}{% + \let\cref@subappendix@format\cref@appendix@format}{}% + \@ifundefined{Cref@subappendix@format}{% + \let\Cref@subappendix@format\Cref@appendix@format}{}% + \@ifundefined{crefrange@subappendix@format}{% + \let\crefrange@subappendix@format% + \crefrange@appendix@format}{}% + \@ifundefined{Crefrange@subappendix@format}{% + \let\Crefrange@subappendix@format% + \Crefrange@appendix@format}{}% + \@ifundefined{cref@subappendix@format@first}{% + \let\cref@subappendix@format@first% + \cref@appendix@format@first}{}% + \@ifundefined{Cref@subappendix@format@first}{% + \let\Cref@subappendix@format@first% + \Cref@appendix@format@first}{}% + \@ifundefined{cref@subappendix@format@second}{% + \let\cref@subappendix@format@second% + \cref@appendix@format@second}{}% + \@ifundefined{Cref@subappendix@format@second}{% + \let\Cref@subappendix@format@second% + \Cref@appendix@format@second}{}% + \@ifundefined{cref@subappendix@format@middle}{% + \let\cref@subappendix@format@middle% + \cref@appendix@format@middle}{}% + \@ifundefined{Cref@subappendix@format@middle}{% + \let\Cref@subappendix@format@middle% + \Cref@appendix@format@middle}{}% + \@ifundefined{cref@subappendix@format@last}{% + \let\cref@subappendix@format@last% + \cref@appendix@format@last}{}% + \@ifundefined{Cref@subappendix@format@last}{% + \let\Cref@subappendix@format@last% + \Cref@appendix@format@last}{}% + \@ifundefined{crefrange@subappendix@format@first}{% + \let\crefrange@subappendix@format@first% + \crefrange@appendix@format@first}{}% + \@ifundefined{Crefrange@subappendix@format@first}{% + \let\Crefrange@subappendix@format@first% + \Crefrange@appendix@format@first}{}% + \@ifundefined{crefrange@subappendix@format@second}{% + \let\crefrange@subappendix@format@second% + \crefrange@appendix@format@second}{}% + \@ifundefined{Crefrange@subappendix@format@second}{% + \let\Crefrange@subappendix@format@second% + \Crefrange@appendix@format@second}{}% + \@ifundefined{crefrange@subappendix@format@middle}{% + \let\crefrange@subappendix@format@middle% + \crefrange@appendix@format@middle}{}% + \@ifundefined{Crefrange@subappendix@format@middle}{% + \let\Crefrange@subappendix@format@middle% + \Crefrange@appendix@format@middle}{}% + \@ifundefined{crefrange@subappendix@format@last}{% + \let\crefrange@subappendix@format@last% + \crefrange@appendix@format@last}{}% + \@ifundefined{Crefrange@subappendix@format@last}{% + \let\Crefrange@subappendix@format@last% + \Crefrange@appendix@format@last}{}% + \@ifundefined{cref@subsubappendix@name}{% + \let\cref@subsubappendix@name\cref@appendix@name% + \let\cref@subsubappendix@name@plural% + \cref@appendix@name@plural}{}% + \@ifundefined{Cref@subsubappendix@name}{% + \let\Cref@subsubappendix@name\Cref@section@name% + \let\Cref@subsubappendixsection@name@plural% + \Cref@appendix@name@plural}{}% + \@ifundefined{cref@subsubappendix@format}{% + \let\cref@subsubappendix@format% + \cref@subappendix@format}{}% + \@ifundefined{Cref@subsubappendix@format}{% + \let\Cref@subsubappendix@format% + \Cref@subappendix@format}{}% + \@ifundefined{crefrange@subsubappendix@format}{% + \let\crefrange@subsubappendix@format% + \crefrange@subappendix@format}{}% + \@ifundefined{Crefrange@subsubappendix@format}{% + \let\Crefrange@subsubappendix@format% + \Crefrange@subappendix@format}{}% + \@ifundefined{cref@subsubappendix@format@first}{% + \let\cref@subsubappendix@format@first% + \cref@subappendix@format@first}{}% + \@ifundefined{Cref@subsubappendix@format@first}{% + \let\Cref@subsubappendix@format@first% + \Cref@subappendix@format@first}{}% + \@ifundefined{cref@subsubappendix@format@second}{% + \let\cref@subsubappendix@format@second% + \cref@subappendix@format@second}{}% + \@ifundefined{Cref@subsubappendix@format@second}{% + \let\Cref@subsubappendix@format@second% + \Cref@subappendix@format@second}{}% + \@ifundefined{cref@subsubappendix@format@middle}{% + \let\cref@subsubappendix@format@middle% + \cref@subappendix@format@middle}{}% + \@ifundefined{Cref@subsubappendix@format@middle}{% + \let\Cref@subsubappendix@format@middle% + \Cref@subappendix@format@middle}{}% + \@ifundefined{cref@subsubappendix@format@last}{% + \let\cref@subsubappendix@format@last% + \cref@subappendix@format@last}{}% + \@ifundefined{Cref@subsubappendix@format@last}{% + \let\Cref@subsubappendix@format@last% + \Cref@subappendix@format@last}{}% + \@ifundefined{crefrange@subsubappendix@format@first}{% + \let\crefrange@subsubappendix@format@first% + \crefrange@subappendix@format@first}{}% + \@ifundefined{Crefrange@subsubappendix@format@first}{% + \let\Crefrange@subsubappendix@format@first% + \Crefrange@subappendix@format@first}{}% + \@ifundefined{crefrange@subsubappendix@format@second}{% + \let\crefrange@subsubappendix@format@second% + \crefrange@subappendix@format@second}{}% + \@ifundefined{Crefrange@subsubappendix@format@second}{% + \let\Crefrange@subsubappendix@format@second% + \Crefrange@subappendix@format@second}{}% + \@ifundefined{crefrange@subsubappendix@format@middle}{% + \let\crefrange@subsubappendix@format@middle% + \crefrange@subappendix@format@middle}{}% + \@ifundefined{Crefrange@subsubappendix@format@middle}{% + \let\Crefrange@subsubappendix@format@middle% + \Crefrange@subappendix@format@middle}{}% + \@ifundefined{crefrange@subsubappendix@format@last}{% + \let\crefrange@subsubappendix@format@last% + \crefrange@subappendix@format@last}{}% + \@ifundefined{Crefrange@subsubappendix@format@last}{% + \let\Crefrange@subsubappendix@format@last% + \Crefrange@subappendix@format@last}{}% + \@ifundefined{cref@subsubsubappendix@format}{% + \let\cref@subsubsubappendix@format% + \cref@subsubappendix@format}{}% + \@ifundefined{Cref@subsubsubappendix@format}{% + \let\Cref@subsubsubappendix@format% + \Cref@subsubappendix@format}{}% + \@ifundefined{crefrange@subsubsubappendix@format}{% + \let\crefrange@subsubsubappendix@format% + \crefrange@subsubappendix@format}{}% + \@ifundefined{Crefrange@subsubsubappendix@format}{% + \let\Crefrange@subsubsubappendix@format% + \Crefrange@subsubappendix@format}{}% + \@ifundefined{cref@subsubsubappendix@format@first}{% + \let\cref@subsubsubappendix@format@first% + \cref@subsubappendix@format@first}{}% + \@ifundefined{Cref@subsubsubappendix@format@first}{% + \let\Cref@subsubsubappendix@format@first% + \Cref@subsubappendix@format@first}{}% + \@ifundefined{cref@subsubsubappendix@format@second}{% + \let\cref@subsubsubappendix@format@second% + \cref@subsubappendix@format@second}{}% + \@ifundefined{Cref@subsubsubappendix@format@second}{% + \let\Cref@subsubsubappendix@format@second% + \Cref@subsubappendix@format@second}{}% + \@ifundefined{cref@subsubsubappendix@format@middle}{% + \let\cref@subsubsubappendix@format@middle% + \cref@subsubappendix@format@middle}{}% + \@ifundefined{Cref@subsubsubappendix@format@middle}{% + \let\Cref@subsubsubappendix@format@middle% + \Cref@subsubappendix@format@middle}{}% + \@ifundefined{cref@subsubsubappendix@format@last}{% + \let\cref@subsubsubappendix@format@last% + \cref@subsubappendix@format@last}{}% + \@ifundefined{Cref@subsubsubappendix@format@last}{% + \let\Cref@subsubsubappendix@format@last% + \Cref@subsubappendix@format@last}{}% + \@ifundefined{crefrange@subsubsubappendix@format@first}{% + \let\crefrange@subsubsubappendix@format@first% + \crefrange@subsubappendix@format@first}{}% + \@ifundefined{Crefrange@subsubsubappendix@format@first}{% + \let\Crefrange@subsubsubappendix@format@first% + \Crefrange@subsubappendix@format@first}{}% + \@ifundefined{crefrange@subsubsubappendix@format@second}{% + \let\crefrange@subsubsubappendix@format@second% + \crefrange@subsubappendix@format@second}{}% + \@ifundefined{Crefrange@subsubsubappendix@format@second}{% + \let\Crefrange@subsubsubappendix@format@second% + \Crefrange@subsubappendix@format@second}{}% + \@ifundefined{crefrange@subsubsubappendix@format@middle}{% + \let\crefrange@subsubsubappendix@format@middle% + \crefrange@subsubappendix@format@middle}{}% + \@ifundefined{Crefrange@subsubsubappendix@format@middle}{% + \let\Crefrange@subsubsubappendix@format@middle% + \Crefrange@subsubappendix@format@middle}{}% + \@ifundefined{crefrange@subsubsubappendix@format@last}{% + \let\crefrange@subsubsubappendix@format@last% + \crefrange@subsubappendix@format@last}{}% + \@ifundefined{Crefrange@subsubsubappendix@format@last}{% + \let\Crefrange@subsubsubappendix@format@last% + \Crefrange@subsubappendix@format@last}{}% + \@ifundefined{cref@subfigure@format}{% + \let\cref@subfigure@format% + \cref@figure@format}{}% + \@ifundefined{Cref@subfigure@format}{% + \let\Cref@subfigure@format% + \Cref@figure@format}{}% + \@ifundefined{crefrange@subfigure@format}{% + \let\crefrange@subfigure@format% + \crefrange@figure@format}{}% + \@ifundefined{Crefrange@subfigure@format}{% + \let\Crefrange@subfigure@format% + \Crefrange@figure@format}{}% + \@ifundefined{cref@subfigure@format@first}{% + \let\cref@subfigure@format@first% + \cref@figure@format@first}{}% + \@ifundefined{Cref@subfigure@format@first}{% + \let\Cref@subfigure@format@first% + \Cref@figure@format@first}{}% + \@ifundefined{cref@subfigure@format@second}{% + \let\cref@subfigure@format@second% + \cref@figure@format@second}{}% + \@ifundefined{Cref@subfigure@format@second}{% + \let\Cref@subfigure@format@second% + \Cref@figure@format@second}{}% + \@ifundefined{cref@subfigure@format@middle}{% + \let\cref@subfigure@format@middle% + \cref@figure@format@middle}{}% + \@ifundefined{Cref@subfigure@format@middle}{% + \let\Cref@subfigure@format@middle% + \Cref@figure@format@middle}{}% + \@ifundefined{cref@subfigure@format@last}{% + \let\cref@subfigure@format@last% + \cref@figure@format@last}{}% + \@ifundefined{Cref@subfigure@format@last}{% + \let\Cref@subfigure@format@last% + \Cref@figure@format@last}{}% + \@ifundefined{crefrange@subfigure@format@first}{% + \let\crefrange@subfigure@format@first% + \crefrange@figure@format@first}{}% + \@ifundefined{Crefrange@subfigure@format@first}{% + \let\Crefrange@subfigure@format@first% + \Crefrange@figure@format@first}{}% + \@ifundefined{crefrange@subfigure@format@second}{% + \let\crefrange@subfigure@format@second% + \crefrange@figure@format@second}{}% + \@ifundefined{Crefrange@subfigure@format@second}{% + \let\Crefrange@subfigure@format@second% + \Crefrange@figure@format@second}{}% + \@ifundefined{crefrange@subfigure@format@middle}{% + \let\crefrange@subfigure@format@middle% + \crefrange@figure@format@middle}{}% + \@ifundefined{Crefrange@subfigure@format@middle}{% + \let\Crefrange@subfigure@format@middle% + \Crefrange@figure@format@middle}{}% + \@ifundefined{crefrange@subfigure@format@last}{% + \let\crefrange@subfigure@format@last% + \crefrange@figure@format@last}{}% + \@ifundefined{Crefrange@subfigure@format@last}{% + \let\Crefrange@subfigure@format@last% + \Crefrange@figure@format@last}{}% + \@ifundefined{cref@subtable@format}{% + \let\cref@subtable@format% + \cref@table@format}{}% + \@ifundefined{Cref@subtable@format}{% + \let\Cref@subtable@format% + \Cref@table@format}{}% + \@ifundefined{crefrange@subtable@format}{% + \let\crefrange@subtable@format% + \crefrange@table@format}{}% + \@ifundefined{Crefrange@subtable@format}{% + \let\Crefrange@subtable@format% + \Crefrange@table@format}{}% + \@ifundefined{cref@subtable@format@first}{% + \let\cref@subtable@format@first% + \cref@table@format@first}{}% + \@ifundefined{Cref@subtable@format@first}{% + \let\Cref@subtable@format@first% + \Cref@table@format@first}{}% + \@ifundefined{cref@subtable@format@second}{% + \let\cref@subtable@format@second% + \cref@table@format@second}{}% + \@ifundefined{Cref@subtable@format@second}{% + \let\Cref@subtable@format@second% + \Cref@table@format@second}{}% + \@ifundefined{cref@subtable@format@middle}{% + \let\cref@subtable@format@middle% + \cref@table@format@middle}{}% + \@ifundefined{Cref@subtable@format@middle}{% + \let\Cref@subtable@format@middle% + \Cref@table@format@middle}{}% + \@ifundefined{cref@subtable@format@last}{% + \let\cref@subtable@format@last% + \cref@table@format@last}{}% + \@ifundefined{Cref@subtable@format@last}{% + \let\Cref@subtable@format@last% + \Cref@table@format@last}{}% + \@ifundefined{crefrange@subtable@format@first}{% + \let\crefrange@subtable@format@first% + \crefrange@table@format@first}{}% + \@ifundefined{Crefrange@subtable@format@first}{% + \let\Crefrange@subtable@format@first% + \Crefrange@table@format@first}{}% + \@ifundefined{crefrange@subtable@format@second}{% + \let\crefrange@subtable@format@second% + \crefrange@table@format@second}{}% + \@ifundefined{Crefrange@subtable@format@second}{% + \let\Crefrange@subtable@format@second% + \Crefrange@table@format@second}{}% + \@ifundefined{crefrange@subtable@format@middle}{% + \let\crefrange@subtable@format@middle% + \crefrange@table@format@middle}{}% + \@ifundefined{Crefrange@subtable@format@middle}{% + \let\Crefrange@subtable@format@middle% + \Crefrange@table@format@middle}{}% + \@ifundefined{crefrange@subtable@format@last}{% + \let\crefrange@subtable@format@last% + \crefrange@table@format@last}{}% + \@ifundefined{Crefrange@subtable@format@last}{% + \let\Crefrange@subtable@format@last% + \Crefrange@table@format@last}{}% + \@ifundefined{cref@subequation@format}{% + \let\cref@subequation@format% + \cref@equation@format}{}% + \@ifundefined{Cref@subequation@format}{% + \let\Cref@subequation@format% + \Cref@equation@format}{}% + \@ifundefined{crefrange@subequation@format}{% + \let\crefrange@subequation@format% + \crefrange@equation@format}{}% + \@ifundefined{Crefrange@subequation@format}{% + \let\Crefrange@subequation@format% + \Crefrange@equation@format}{}% + \@ifundefined{cref@subequation@format@first}{% + \let\cref@subequation@format@first% + \cref@equation@format@first}{}% + \@ifundefined{Cref@subequation@format@first}{% + \let\Cref@subequation@format@first% + \Cref@equation@format@first}{}% + \@ifundefined{cref@subequation@format@second}{% + \let\cref@subequation@format@second% + \cref@equation@format@second}{}% + \@ifundefined{Cref@subequation@format@second}{% + \let\Cref@subequation@format@second% + \Cref@equation@format@second}{}% + \@ifundefined{cref@subequation@format@middle}{% + \let\cref@subequation@format@middle% + \cref@equation@format@middle}{}% + \@ifundefined{Cref@subequation@format@middle}{% + \let\Cref@subequation@format@middle% + \Cref@equation@format@middle}{}% + \@ifundefined{cref@subequation@format@last}{% + \let\cref@subequation@format@last% + \cref@equation@format@last}{}% + \@ifundefined{Cref@subequation@format@last}{% + \let\Cref@subequation@format@last% + \Cref@equation@format@last}{}% + \@ifundefined{crefrange@subequation@format@first}{% + \let\crefrange@subequation@format@first% + \crefrange@equation@format@first}{}% + \@ifundefined{Crefrange@subequation@format@first}{% + \let\Crefrange@subequation@format@first% + \Crefrange@equation@format@first}{}% + \@ifundefined{crefrange@subequation@format@second}{% + \let\crefrange@subequation@format@second% + \crefrange@equation@format@second}{}% + \@ifundefined{Crefrange@subequation@format@second}{% + \let\Crefrange@subequation@format@second% + \Crefrange@equation@format@second}{}% + \@ifundefined{crefrange@subequation@format@middle}{% + \let\crefrange@subequation@format@middle% + \crefrange@equation@format@middle}{}% + \@ifundefined{Crefrange@subequation@format@middle}{% + \let\Crefrange@subequation@format@middle% + \Crefrange@equation@format@middle}{}% + \@ifundefined{crefrange@subequation@format@last}{% + \let\crefrange@subequation@format@last% + \crefrange@equation@format@last}{}% + \@ifundefined{Crefrange@subequation@format@last}{% + \let\Crefrange@subequation@format@last% + \Crefrange@equation@format@last}{}% + \@ifundefined{cref@enumii@format}{% + \let\cref@enumii@format% + \cref@enumi@format}{}% + \@ifundefined{Cref@enumii@format}{% + \let\Cref@enumii@format% + \Cref@enumi@format}{}% + \@ifundefined{crefrange@enumii@format}{% + \let\crefrange@enumii@format% + \crefrange@enumi@format}{}% + \@ifundefined{Crefrange@enumii@format}{% + \let\Crefrange@enumii@format% + \Crefrange@enumi@format}{}% + \@ifundefined{cref@enumii@format@first}{% + \let\cref@enumii@format@first% + \cref@enumi@format@first}{}% + \@ifundefined{Cref@enumii@format@first}{% + \let\Cref@enumii@format@first% + \Cref@enumi@format@first}{}% + \@ifundefined{cref@enumii@format@second}{% + \let\cref@enumii@format@second% + \cref@enumi@format@second}{}% + \@ifundefined{Cref@enumii@format@second}{% + \let\Cref@enumii@format@second% + \Cref@enumi@format@second}{}% + \@ifundefined{cref@enumii@format@middle}{% + \let\cref@enumii@format@middle% + \cref@enumi@format@middle}{}% + \@ifundefined{Cref@enumii@format@middle}{% + \let\Cref@enumii@format@middle% + \Cref@enumi@format@middle}{}% + \@ifundefined{cref@enumii@format@last}{% + \let\cref@enumii@format@last% + \cref@enumi@format@last}{}% + \@ifundefined{Cref@enumii@format@last}{% + \let\Cref@enumii@format@last% + \Cref@enumi@format@last}{}% + \@ifundefined{crefrange@enumii@format@first}{% + \let\crefrange@enumii@format@first% + \crefrange@enumi@format@first}{}% + \@ifundefined{Crefrange@enumii@format@first}{% + \let\Crefrange@enumii@format@first% + \Crefrange@enumi@format@first}{}% + \@ifundefined{crefrange@enumii@format@second}{% + \let\crefrange@enumii@format@second% + \crefrange@enumi@format@second}{}% + \@ifundefined{Crefrange@enumii@format@second}{% + \let\Crefrange@enumii@format@second% + \Crefrange@enumi@format@second}{}% + \@ifundefined{crefrange@enumii@format@middle}{% + \let\crefrange@enumii@format@middle% + \crefrange@enumi@format@middle}{}% + \@ifundefined{Crefrange@enumii@format@middle}{% + \let\Crefrange@enumii@format@middle% + \Crefrange@enumi@format@middle}{}% + \@ifundefined{crefrange@enumii@format@last}{% + \let\crefrange@enumii@format@last% + \crefrange@enumi@format@last}{}% + \@ifundefined{Crefrange@enumii@format@last}{% + \let\Crefrange@enumii@format@last% + \Crefrange@enumi@format@last}{}% + \@ifundefined{cref@enumiii@format}{% + \let\cref@enumiii@format% + \cref@enumii@format}{}% + \@ifundefined{Cref@enumiii@format}{% + \let\Cref@enumiii@format% + \Cref@enumii@format}{}% + \@ifundefined{crefrange@enumiii@format}{% + \let\crefrange@enumiii@format% + \crefrange@enumii@format}{}% + \@ifundefined{Crefrange@enumiii@format}{% + \let\Crefrange@enumiii@format% + \Crefrange@enumii@format}{}% + \@ifundefined{cref@enumiii@format@first}{% + \let\cref@enumiii@format@first% + \cref@enumii@format@first}{}% + \@ifundefined{Cref@enumiii@format@first}{% + \let\Cref@enumiii@format@first% + \Cref@enumii@format@first}{}% + \@ifundefined{cref@enumiii@format@second}{% + \let\cref@enumiii@format@second% + \cref@enumii@format@second}{}% + \@ifundefined{Cref@enumiii@format@second}{% + \let\Cref@enumiii@format@second% + \Cref@enumii@format@second}{}% + \@ifundefined{cref@enumiii@format@middle}{% + \let\cref@enumiii@format@middle% + \cref@enumii@format@middle}{}% + \@ifundefined{Cref@enumiii@format@middle}{% + \let\Cref@enumiii@format@middle% + \Cref@enumii@format@middle}{}% + \@ifundefined{cref@enumiii@format@last}{% + \let\cref@enumiii@format@last% + \cref@enumii@format@last}{}% + \@ifundefined{Cref@enumiii@format@last}{% + \let\Cref@enumiii@format@last% + \Cref@enumii@format@last}{}% + \@ifundefined{crefrange@enumiii@format@first}{% + \let\crefrange@enumiii@format@first% + \crefrange@enumii@format@first}{}% + \@ifundefined{Crefrange@enumiii@format@first}{% + \let\Crefrange@enumiii@format@first% + \Crefrange@enumii@format@first}{}% + \@ifundefined{crefrange@enumiii@format@second}{% + \let\crefrange@enumiii@format@second% + \crefrange@enumii@format@second}{}% + \@ifundefined{Crefrange@enumiii@format@second}{% + \let\Crefrange@enumiii@format@second% + \Crefrange@enumii@format@second}{}% + \@ifundefined{crefrange@enumiii@format@middle}{% + \let\crefrange@enumiii@format@middle% + \crefrange@enumii@format@middle}{}% + \@ifundefined{Crefrange@enumiii@format@middle}{% + \let\Crefrange@enumiii@format@middle% + \Crefrange@enumii@format@middle}{}% + \@ifundefined{crefrange@enumiii@format@last}{% + \let\crefrange@enumiii@format@last% + \crefrange@enumii@format@last}{}% + \@ifundefined{Crefrange@enumiii@format@last}{% + \let\Crefrange@enumiii@format@last% + \Crefrange@enumii@format@last}{}% + \@ifundefined{cref@enumiv@format}{% + \let\cref@enumiv@format% + \cref@enumiii@format}{}% + \@ifundefined{Cref@enumiv@format}{% + \let\Cref@enumiv@format% + \Cref@enumiii@format}{}% + \@ifundefined{crefrange@enumiv@format}{% + \let\crefrange@enumiv@format% + \crefrange@enumiii@format}{}% + \@ifundefined{Crefrange@enumiv@format}{% + \let\Crefrange@enumiv@format% + \Crefrange@enumiii@format}{}% + \@ifundefined{cref@enumiv@format@first}{% + \let\cref@enumiv@format@first% + \cref@enumiii@format@first}{}% + \@ifundefined{Cref@enumiv@format@first}{% + \let\Cref@enumiv@format@first% + \Cref@enumiii@format@first}{}% + \@ifundefined{cref@enumiv@format@second}{% + \let\cref@enumiv@format@second% + \cref@enumiii@format@second}{}% + \@ifundefined{Cref@enumiv@format@second}{% + \let\Cref@enumiv@format@second% + \Cref@enumiii@format@second}{}% + \@ifundefined{cref@enumiv@format@middle}{% + \let\cref@enumiv@format@middle% + \cref@enumiii@format@middle}{}% + \@ifundefined{Cref@enumiv@format@middle}{% + \let\Cref@enumiv@format@middle% + \Cref@enumiii@format@middle}{}% + \@ifundefined{cref@enumiv@format@last}{% + \let\cref@enumiv@format@last% + \cref@enumiii@format@last}{}% + \@ifundefined{Cref@enumiv@format@last}{% + \let\Cref@enumiv@format@last% + \Cref@enumiii@format@last}{}% + \@ifundefined{crefrange@enumiv@format@first}{% + \let\crefrange@enumiv@format@first% + \crefrange@enumiii@format@first}{}% + \@ifundefined{Crefrange@enumiv@format@first}{% + \let\Crefrange@enumiv@format@first% + \Crefrange@enumiii@format@first}{}% + \@ifundefined{crefrange@enumiv@format@second}{% + \let\crefrange@enumiv@format@second% + \crefrange@enumiii@format@second}{}% + \@ifundefined{Crefrange@enumiv@format@second}{% + \let\Crefrange@enumiv@format@second% + \Crefrange@enumiii@format@second}{}% + \@ifundefined{crefrange@enumiv@format@middle}{% + \let\crefrange@enumiv@format@middle% + \crefrange@enumiii@format@middle}{}% + \@ifundefined{Crefrange@enumiv@format@middle}{% + \let\Crefrange@enumiv@format@middle% + \Crefrange@enumiii@format@middle}{}% + \@ifundefined{crefrange@enumiv@format@last}{% + \let\crefrange@enumiv@format@last% + \crefrange@enumiii@format@last}{}% + \@ifundefined{Crefrange@enumiv@format@last}{% + \let\Crefrange@enumiv@format@last% + \Crefrange@enumiii@format@last}{}% + \@ifundefined{cref@enumv@format}{% + \let\cref@enumv@format% + \cref@enumiv@format}{}% + \@ifundefined{Cref@enumv@format}{% + \let\Cref@enumv@format% + \Cref@enumiv@format}{}% + \@ifundefined{crefrange@enumv@format}{% + \let\crefrange@enumv@format% + \crefrange@enumiv@format}{}% + \@ifundefined{Crefrange@enumv@format}{% + \let\Crefrange@enumv@format% + \Crefrange@enumiv@format}{}% + \@ifundefined{cref@enumv@format@first}{% + \let\cref@enumv@format@first% + \cref@enumiv@format@first}{}% + \@ifundefined{Cref@enumv@format@first}{% + \let\Cref@enumv@format@first% + \Cref@enumiv@format@first}{}% + \@ifundefined{cref@enumv@format@second}{% + \let\cref@enumv@format@second% + \cref@enumiv@format@second}{}% + \@ifundefined{Cref@enumv@format@second}{% + \let\Cref@enumv@format@second% + \Cref@enumiv@format@second}{}% + \@ifundefined{cref@enumv@format@middle}{% + \let\cref@enumv@format@middle% + \cref@enumiv@format@middle}{}% + \@ifundefined{Cref@enumv@format@middle}{% + \let\Cref@enumv@format@middle% + \Cref@enumiv@format@middle}{}% + \@ifundefined{cref@enumv@format@last}{% + \let\cref@enumv@format@last% + \cref@enumiv@format@last}{}% + \@ifundefined{Cref@enumv@format@last}{% + \let\Cref@enumv@format@last% + \Cref@enumiv@format@last}{}% + \@ifundefined{crefrange@enumv@format@first}{% + \let\crefrange@enumv@format@first% + \crefrange@enumiv@format@first}{}% + \@ifundefined{Crefrange@enumv@format@first}{% + \let\Crefrange@enumv@format@first% + \Crefrange@enumiv@format@first}{}% + \@ifundefined{crefrange@enumv@format@second}{% + \let\crefrange@enumv@format@second% + \crefrange@enumiv@format@second}{}% + \@ifundefined{Crefrange@enumv@format@second}{% + \let\Crefrange@enumv@format@second% + \Crefrange@enumiv@format@second}{}% + \@ifundefined{crefrange@enumv@format@middle}{% + \let\crefrange@enumv@format@middle% + \crefrange@enumiv@format@middle}{}% + \@ifundefined{Crefrange@enumv@format@middle}{% + \let\Crefrange@enumv@format@middle% + \Crefrange@enumiv@format@middle}{}% + \@ifundefined{crefrange@enumv@format@last}{% + \let\crefrange@enumv@format@last% + \crefrange@enumiv@format@last}{}% + \@ifundefined{Crefrange@enumv@format@last}{% + \let\Crefrange@enumv@format@last% + \Crefrange@enumiv@format@last}{}% + \let\cref@language\relax% +}% end of \AtBeginDocument +\InputIfFileExists{cleveref.cfg}% + {\PackageInfo{cleveref}{reading definitions from cleveref.cfg}}{}% +\endinput +%% +%% End of file `cleveref.sty'. diff --git a/latex/doi.sty b/latex/doi.sty new file mode 100644 index 0000000..0c3c152 --- /dev/null +++ b/latex/doi.sty @@ -0,0 +1,98 @@ +\NeedsTeXFormat{LaTeX2e} +\ProvidesPackage{doi}[2018/09/09 handle doi numbers] + +%% This style file is based original code written by Heiko Oberdiek +%% and published on comp.text.tex. It was packaged with permission +%% as a style file by Maarten Sneep, with some minor changes suggested +%% by Bruno Voisin to accomodate the Apple pdf framework +%% +%% This code is placed under the LPPL. +%% +%% Original discussion on Google under: +%% http://groups.google.com/group/comp.text.tex/msg/922919daa207d613 +%% +%% Comments and bug reports may be submitted via +%% https://github.com/ho-tex/doi/issues +%% +%% You can hyperlink DOI numbers to dx.doi.org. Some publishers have elected to +%% use some nasty characters in their doi numbering scheme (<, >, ; have all +%% been spotted). This will either upset (La)TeX, or your pdf reader. This style +%% file contains a user-level command \doi{}, which takes a doi number, +%% and creates a hyperlink from it. The format of the doi can be controlled by +%% redefining the \doitext command, which does not take an argument (unlike the +%% command with the same name in the doipubmed package). +%% +%% Note: the \doi{} command connot be used within other macros. + +%% Change history: +%% December 15, 2003: original code posted on Usenet (see link above) +%% Somewhere in 2005: Bruno Voisin suggests some changes to accomodate the +%% Apple pdf framework on the Tex on Mac OS X mailing list. +%% April 2007: Maarten packages the lot, and Karl Ove Hufthammer fixes a +%% few bugs introduced by Maarten (oops). +%% A \doitext command is added, following the example from doipubmed. +%% Some comments are added to make the code a little more readable. +%% July 2007: Michael Orlov sends in a patch to correctly handle underscores. +%% September 2018: David Carlisle for "Oberdiek Package Support Group" +%% Move to github https://github.com/ho-tex/doi/issues +%% Add macro defaulting to new +%% https://doi.org/ URL but may be set to old http://dx.doi.org/ +%% + + +%% We need hyperref, but you probably want to load hyperref +%% beforehand, or set some options later on. +\RequirePackage{hyperref} + +%% To change the default prefix, redefine this command within your own code. +%% It takes no argument, which is different from the doipubmed package. +\newcommand{\doitext}{doi:} + +%% To change the default DOI URL resoloution URL, redefine this command +%% within your own code. +%% Previous versions of this package always used http://dx.doi.org/ but +%% The preferred address is now as given here, https://doi.org/ +\newcommand{\doiurl}{https://doi.org/} + +%% The meat of the code. +%% The first command opens a group, and changes a few catcodes. +\newcommand*{\doi}{% + \begingroup + \lccode`\~=`\#\relax + \lowercase{\def~{\#}}% + \lccode`\~=`\_\relax + \lowercase{\def~{\_}}% + \lccode`\~=`\<\relax + \lowercase{\def~{\textless}}% + \lccode`\~=`\>\relax + \lowercase{\def~{\textgreater}}% + \lccode`\~=0\relax + \catcode`\#=\active + \catcode`\_=\active + \catcode`\<=\active + \catcode`\>=\active + \@doi +} + +%% This is the actual command which processes the argument, with the catcodes +%% set in the previous command +%% it closes the group, and spits out the url. +\def\@doi#1{% + \let\#\relax + \let\_\relax + \let\textless\relax + \let\textgreater\relax + \edef\x{\toks0={{#1}}}% + \x + \edef\#{\@percentchar23}% + \edef\_{_}% + \edef\textless{\@percentchar3C}% instead of {\string<} for Apple + \edef\textgreater{\@percentchar3E}% instead of {\sting>} for Apple + \edef\x{\toks2={\noexpand\href{\doiurl#1}}}% + \x + \edef\x{\endgroup\doitext\the\toks2 \the\toks0}% + \x +} + +%% That's all folks. +\endinput diff --git a/latex/nicefrac.sty b/latex/nicefrac.sty new file mode 100644 index 0000000..c5561d0 --- /dev/null +++ b/latex/nicefrac.sty @@ -0,0 +1,134 @@ +%% +%% This is file `nicefrac.sty', +%% generated with the docstrip utility. +%% +%% The original source files were: +%% +%% units.dtx (with options: `nicefrac') +%% +%% LaTeX package for typesetting nice fractions +%% +%% Copyright (C) 1998 Axel Reichert +%% See the files README and COPYING. +%% +%% \CharacterTable +%% {Upper-case \A\B\C\D\E\F\G\H\I\J\K\L\M\N\O\P\Q\R\S\T\U\V\W\X\Y\Z +%% Lower-case \a\b\c\d\e\f\g\h\i\j\k\l\m\n\o\p\q\r\s\t\u\v\w\x\y\z +%% Digits \0\1\2\3\4\5\6\7\8\9 +%% Exclamation \! Double quote \" Hash (number) \# +%% Dollar \$ Percent \% Ampersand \& +%% Acute accent \' Left paren \( Right paren \) +%% Asterisk \* Plus \+ Comma \, +%% Minus \- Point \. Solidus \/ +%% Colon \: Semicolon \; Less than \< +%% Equals \= Greater than \> Question mark \? +%% Commercial at \@ Left bracket \[ Backslash \\ +%% Right bracket \] Circumflex \^ Underscore \_ +%% Grave accent \` Left brace \{ Vertical bar \| +%% Right brace \} Tilde \~} +\NeedsTeXFormat{LaTeX2e}[1995/12/01] +\ProvidesPackage{nicefrac}[1998/08/04 v0.9b Nice fractions] +\newlength{\L@UnitsRaiseDisplaystyle} +\newlength{\L@UnitsRaiseTextstyle} +\newlength{\L@UnitsRaiseScriptstyle} +\RequirePackage{ifthen} +\DeclareRobustCommand*{\@UnitsNiceFrac}[3][]{% + \ifthenelse{\boolean{mmode}}{% + \settoheight{\L@UnitsRaiseDisplaystyle}{% + \ensuremath{\displaystyle#1{M}}% + }% + \settoheight{\L@UnitsRaiseTextstyle}{% + \ensuremath{\textstyle#1{M}}% + }% + \settoheight{\L@UnitsRaiseScriptstyle}{% + \ensuremath{\scriptstyle#1{M}}% + }% + \settoheight{\@tempdima}{% + \ensuremath{\scriptscriptstyle#1{M}}% + }% + \addtolength{\L@UnitsRaiseDisplaystyle}{% + -\L@UnitsRaiseScriptstyle% + }% + \addtolength{\L@UnitsRaiseTextstyle}{% + -\L@UnitsRaiseScriptstyle% + }% + \addtolength{\L@UnitsRaiseScriptstyle}{-\@tempdima}% + \mathchoice + {% + \raisebox{\L@UnitsRaiseDisplaystyle}{% + \ensuremath{\scriptstyle#1{#2}}% + }% + }% + {% + \raisebox{\L@UnitsRaiseTextstyle}{% + \ensuremath{\scriptstyle#1{#2}}% + }% + }% + {% + \raisebox{\L@UnitsRaiseScriptstyle}{% + \ensuremath{\scriptscriptstyle#1{#2}}% + }% + }% + {% + \raisebox{\L@UnitsRaiseScriptstyle}{% + \ensuremath{\scriptscriptstyle#1{#2}}% + }% + }% + \mkern-2mu/\mkern-1mu% + \bgroup + \mathchoice + {\scriptstyle}% + {\scriptstyle}% + {\scriptscriptstyle}% + {\scriptscriptstyle}% + #1{#3}% + \egroup + }% + {% + \settoheight{\L@UnitsRaiseTextstyle}{#1{M}}% + \settoheight{\@tempdima}{% + \ensuremath{% + \mbox{\fontsize\sf@size\z@\selectfont#1{M}}% + }% + }% + \addtolength{\L@UnitsRaiseTextstyle}{-\@tempdima}% + \raisebox{\L@UnitsRaiseTextstyle}{% + \ensuremath{% + \mbox{\fontsize\sf@size\z@\selectfont#1{#2}}% + }% + }% + \ensuremath{\mkern-2mu}/\ensuremath{\mkern-1mu}% + \ensuremath{% + \mbox{\fontsize\sf@size\z@\selectfont#1{#3}}% + }% + }% +} +\DeclareRobustCommand*{\@UnitsUglyFrac}[3][]{% + \ifthenelse{\boolean{mmode}}{% + \frac{#1{#2}}{#1{#3}}% + }% + {% + #1{#2}/#1{#3}% + \PackageWarning{nicefrac}{% + You used \protect\nicefrac\space or + \protect\unitfrac\space in text mode\MessageBreak + and specified the ``ugly'' option.\MessageBreak + The fraction may be ambiguous or wrong.\MessageBreak + Please make sure the denominator is + correct.\MessageBreak + If it is, you can safely ignore\MessageBreak + this warning + }% + }% +} +\DeclareOption{nice}{% + \DeclareRobustCommand*{\nicefrac}{\@UnitsNiceFrac}% +} +\DeclareOption{ugly}{% + \DeclareRobustCommand*{\nicefrac}{\@UnitsUglyFrac}% +} +\ExecuteOptions{nice} +\ProcessOptions* +\endinput +%% +%% End of file `nicefrac.sty'. diff --git a/latex/orcid.pdf b/latex/orcid.pdf new file mode 100644 index 0000000..109a93a Binary files /dev/null and b/latex/orcid.pdf differ diff --git a/latex/paper.bbl b/latex/paper.bbl new file mode 100644 index 0000000..3f630f1 --- /dev/null +++ b/latex/paper.bbl @@ -0,0 +1,196 @@ +\begin{thebibliography}{10} + +\bibitem{SOARE2009368} +Robert~I. Soare. +\newblock Turing oracle machines, online computing, and three displacements in + computability theory. +\newblock {\em Annals of Pure and Applied Logic}, 160(3):368--399, 2009. +\newblock Computation and Logic in the Real World: CiE 2007. + +\bibitem{amreen_oracle} +Sadika Amreen and Reazul Hoque. +\newblock Oracle turing machines. + +\bibitem{kalyanasyndaram_2021_mod04lec23} +Subrahmanyam Kalyanasyndaram. +\newblock mod04lec23 - oracle turing machines, 09 2021. + +\bibitem{e21080800} +Niklas Johansson and Jan-Ã…ke Larsson. +\newblock Quantum simulation logic, oracles, and the quantum advantage. +\newblock {\em Entropy}, 21(8), 2019. + +\bibitem{Fan_2007} +Yale Fan. +\newblock A generalization of the deutsch-jozsa algorithm to multi-valued + quantum logic. +\newblock In {\em 37th International Symposium on Multiple-Valued Logic + (ISMVL’07)}. IEEE, May 2007. + +\bibitem{odonnell_2015_lecture} +Ryan O’Donnell. +\newblock Lecture 5: Quantum query complexity, 09 2015. + +\bibitem{gilliam2020canonical} +Austin Gilliam, Marco Pistoia, and Constantin Gonciulea. +\newblock Canonical construction of quantum oracles, 2020. + +\bibitem{ldiaandr_2021_tower} +Lídia André. +\newblock Tower of hanoi – lídia andré, 03 2021. + +\bibitem{diptokarmakar47_2019_how} +diptokarmakar47. +\newblock How to solve the tower of hanoi problem - an illustrated algorithm + guide, 01 2019. + +\bibitem{a2020_towers} +Towers of hanoi: A complete recursive visualization, 05 2020. + +\bibitem{geeksforgeeks_2014_program} +GeeksforGeeks. +\newblock Program for tower of hanoi, 05 2014. + +\bibitem{jaques2023qram} +Samuel Jaques and Arthur~G. Rattew. +\newblock Qram: A survey and critique, 2023. + +\bibitem{Giovannetti_2008} +Vittorio Giovannetti, Seth Lloyd, and Lorenzo Maccone. +\newblock Quantum random access memory. +\newblock {\em Physical Review Letters}, 100(16), April 2008. + +\bibitem{bacon_2006_cse} +Dave Bacon. +\newblock Cse 599d -quantum computing simon's algorithm, 2006. + +\bibitem{lipics_stacs} +Robin Kothari. +\newblock An optimal quantum algorithm for the oracle identification problem. +\newblock Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2014. + +\bibitem{odonnell_2015_lecture_2} +Ryan O’Donnell. +\newblock Lecture 13: Lower bounds using the adversary method, 10 2015. + +\bibitem{brodkorb_2019_the} +Laurel Brodkorb and Rachel Epstein. +\newblock The entscheidungsproblem and alan turing, 12 2019. + +\bibitem{davis_2006_turing} +Martin Davis. +\newblock Turing reducibility?, 11 2006. + +\bibitem{viswanathan_2013_reductions} +Mahesh Viswanathan. +\newblock Reductions 1.1 introduction reductions, 2013. + +\bibitem{cryptoeprint:2020/1270} +Takashi Yamakawa and Mark Zhandry. +\newblock Classical vs quantum random oracles. +\newblock Cryptology ePrint Archive, Paper 2020/1270, 2020. +\newblock \url{https://eprint.iacr.org/2020/1270}. + +\bibitem{buhrman1998quantum} +Harry Buhrman, Richard Cleve, and Avi Wigderson. +\newblock Quantum vs. classical communication and computation, 1998. + +\bibitem{sanchezrivero2023initial} +Javier Sanchez-Rivero, Daniel Talaván, Jose Garcia-Alonso, Antonio + Ruiz-Cortés, and Juan~Manuel Murillo. +\newblock Some initial guidelines for building reusable quantum oracles, 2023. + +\bibitem{Kashefi_2002} +Elham Kashefi, Adrian Kent, Vlatko Vedral, and Konrad Banaszek. +\newblock Comparison of quantum oracles. +\newblock {\em Physical Review A}, 65(5), May 2002. + +\bibitem{Zeng_2014} +William Zeng and Jamie Vicary. +\newblock Abstract structure of unitary oracles for quantum algorithms. +\newblock {\em Electronic Proceedings in Theoretical Computer Science}, + 172:270–284, December 2014. + +\bibitem{atici2004comparative} +Alp Atici. +\newblock Comparative computational strength of quantum oracles, 2004. + +\bibitem{sundarappan_2022_how} +Kathiresan Sundarappan. +\newblock How to build oracles for quantum algorithms, 04 2022. + +\bibitem{dai_view} +Zhifei Dai, Robin Choudhury, Jinming Gao, Andrei Iagaru, Alexander V~Kabanov, + Twan Lammers, and Richard J.~Price. +\newblock View of the role of quantum algorithms in the solution of important + problems. + +\bibitem{sep-game-theory} +Don Ross. +\newblock {Game Theory}. +\newblock In Edward~N. Zalta and Uri Nodelman, editors, {\em The {Stanford} + Encyclopedia of Philosophy}. Metaphysics Research Lab, Stanford University, + {S}pring 2024 edition, 2024. + +\bibitem{PythonEWL2022} +Tomasz Zawadzki and Piotr Kotara. +\newblock A python tool for symbolic analysis of quantum games in ewl protocol + with ibm q integration. +\newblock \url{https://github.com/tomekzaw/ewl}. + +\bibitem{frackiewicz2011application} +Piotr Frackiewicz. +\newblock Application of the ewl protocol to decision problems with imperfect + recall, 2011. + +\bibitem{Eisert_1999} +Jens Eisert, Martin Wilkens, and Maciej Lewenstein. +\newblock Quantum games and quantum strategies. +\newblock {\em Physical Review Letters}, 83(15):3077–3080, October 1999. + +\bibitem{usman_2019_kilometres} +Muhammad Usman. +\newblock Kilometres to miles conversion — approximation of fibonacci series, + 09 2019. + +\bibitem{khan_2021_quantum} +Faisal~Shah Khan and Ning Bao. +\newblock Quantum prisoner’s dilemma and high frequency trading on the + quantum cloud. +\newblock {\em Frontiers in Artificial Intelligence}, 4, 11 2021. + +\bibitem{legn_2022_dilemma} +Alexis~R. Legón and Ernesto Medina. +\newblock Dilemma breaking in quantum games by joint probabilities approach. +\newblock {\em Scientific Reports}, 12, 08 2022. + +\bibitem{siegelwax_2022_quantum} +Brian Siegelwax. +\newblock Quantum memory: Qram. what is it and why do we need it? making + quantum algorithms thrive., 01 2022. + +\bibitem{landi_density} +Gabriel Landi. +\newblock Density matrices and composite systems. + +\bibitem{vijayakrishnan_2019_role} +V.~Vijayakrishnan and S.~Balakrishnan. +\newblock Role of two-qubit entangling operators in the modified + eisert–wilkens–lewenstein approach of quantization. +\newblock {\em Quantum Information Processing}, 18, 03 2019. + +\bibitem{python_scientific} +Real Python. +\newblock Scientific python: Using scipy for optimization – real python. + +\bibitem{scipyoptimizeminimize_scalar} +scipy optimize minimize scalar scipy $v1.12.0$ manual. + +\bibitem{davis_optimization} +Matt Davis. +\newblock Optimization (scipy.optimize) — scipy v0.19.0 reference guide. + +\bibitem{scipyoptimizeminimize} +scipy.optimize.minimize — scipy v1.6.0 reference guide. + +\end{thebibliography} diff --git a/latex/paper.pdf b/latex/paper.pdf new file mode 100644 index 0000000..3b8d3df Binary files /dev/null and b/latex/paper.pdf differ diff --git a/latex/paper.tex b/latex/paper.tex new file mode 100644 index 0000000..17190e6 --- /dev/null +++ b/latex/paper.tex @@ -0,0 +1,640 @@ +\documentclass{article} + +\usepackage{arxiv} +\usepackage[utf8]{inputenc} +\usepackage[T1]{fontenc} +\usepackage{hyperref} +\usepackage{url} +\usepackage{booktabs} +\usepackage{amsfonts} +\usepackage{nicefrac} +\usepackage{microtype} +\usepackage{cleveref} +\usepackage{graphicx} +\usepackage{natbib} +\usepackage{doi} +\usepackage[portuguese]{babel} +\usepackage{caption} +\usepackage{braket} +\usepackage{amsmath} +\usepackage{algpseudocode} +\usepackage{algorithm} +\usepackage{mathtools} +\usepackage{titlesec} + +\DeclarePairedDelimiter\floor{\lfloor}{\rfloor} + +\setcounter{secnumdepth}{5} +\setcounter{tocdepth}{5} + +\makeatletter +\renewcommand\subsubsubsection{\@startsection{paragraph}{4}{\z@}{-2.5ex\@plus -1ex \@minus -.25ex}{1.25ex \@plus .25ex}{\normalfont\normalsize\bfseries}} +\newcommand\subsubsubsubsection{\@startsection{subparagraph}{5}{\z@}{-2.5ex\@plus -1ex \@minus -.25ex}{1.25ex \@plus .25ex}{\normalfont\normalsize\bfseries}} +\makeatother + + +\title{Quantum Oracles - Como transformar problemas clássicos em quânticos} + +\date{\today} + + + +\author{ + \href{https://orcid.org/0009-0008-9134-5974}{\includegraphics[scale=0.06]{orcid.pdf}\hspace{1mm}Alexandre Silva}\\ + Ciências da Computação\\ + UNIVEM - Centro Universitário Eurípides de Marília\\ + \And + \href{http://lattes.cnpq.br/5170103189904688}{\hspace{1mm}Luis Hilário Tobler Garcia} \\ + Ciências da Computação\\ + UNIVEM - Centro Universitário Eurípides de Marília\\ + \And + \href{http://lattes.cnpq.br/7265559606596355}{\hspace{1mm}Maúricio Duarte} \\ + Tecnologia da Informação \\ + Fatec Garça – Deputado Julio Julinho Marcondes de Moura\\ +} + +\graphicspath{ {../images/} } + +\renewcommand{\headeright}{} +\renewcommand{\undertitle}{} +\renewcommand{\shorttitle}{} + + +\hypersetup{ + pdftitle={Quantum Oracles - Como transformar problemas classicos em quanticos}, + pdfsubject={quantum computing, computer science, ciências da computação, computação quântica, algoritmos, algorithms, problem solving, problems, solução de problemas, problemas}, + pdfauthor={Alexandre Silva}, + pdfkeywords={quantum oracles, quantum, quantum computing, algoritmos, algorithms, problems, problemas}, +} + +\begin{document} +\maketitle +\begin{abstract} + A partir do uso de quantum Oracles e outros fatores quânticos, como a superposição, foram feitos \emph{5 mini-projetos}. O objetivo desses projetos foi tentar responder se é possível transformar certos problemas em quânticos e se realmente tal transformação vale a pena. Após os testes foi possível ver que, há casos em que a versão quântica apresenta um aproveitamento igual ou um pouco superior, contudo ainda é necessário o uso de computadores clássicos para conseguir melhores resultados. +\end{abstract} + + +\section{Introdução} +Hoje, não é difícil ver alguém falando sobre computadores quânticos e como essas máquinas vão mudar o nosso futuro. Contudo, muitas dessas frases acabam se levando por extrapolações e/ou usos indevidos de ficção. Neste artigo, mostrarei que nem tudo é possível ser feito com um computador quântico atual, assim como existem pequenas áreas que se beneficiam ao máximo dessa nova tecnologia.\\ +Para esse feito, serão mostrados \emph{5 mini-projetos} usando o \href{https://www.ibm.com/quantum/qiskit}{qiskit}, framework open source da \href{https://www.ibm.com/}{IBM}, e os resultados obtidos após executar os algoritmos quânticos e seus relativos em computação clássica.\\ +Tais mini-projetos foram os seguintes: Explorador de Arquivos \ref{file-explorer}, conversão de milhas para quilômetros \ref{conversion}, Torres de Hanoi \ref{hanoi}, Buckshot Roulette \ref{buckshot} e QRAM \ref{qram}. Todas as implementações podem ser encontradas nesse \href{https://github.com/Dpbm/scientific-initiation-1-quantum-oracles}{repositório do GitHub}.\\ +Para a criação desses projetos, foram usados os Quantum Oracles em conjunto com alguns algoritmos, explorando efeitos quânticos e algumas outras técnicas, clássicas e quânticas, para cada caso específico. + +\section{Oracles} +Partindo da ideia das \emph{Oracle Turing Machines} \cite{SOARE2009368}\cite{amreen_oracle}\cite{kalyanasyndaram_2021_mod04lec23}\cite{e21080800}, os Oracles são modelos matemáticos ideais, usados para abstrair certas partes de um algoritmo principal, em formato de caixa preta, facilitando a análise do algoritmo, assim como sua descrição matemática. Tais máquinas podem ser vistas, também, como uma função, recebendo uma entrada $x$ e retornando $f(x)$ em tempo $O(1)$. Em computação clássica, esse modelo não possui implementação real, sendo usado apenas descrições formais para problemas de decisão.\\ +Contudo, em computação quântica, é possível implementar esses componentes e tomar proveito de sua estrutura e efeitos quânticos para conseguir um \emph{Speed-up} em relação aos algoritmos clássicos, como mostrado pelo algoritmo de Deutsch–Jozsa \cite{Fan_2007}. Além disso, os Oracles possuem um papel importante ao demonstrar a complexidade de um circuito, alguns dos meios utilizados são: profundidade (\emph{depth}), calculando o maior caminho que uma informação percorre no circuito, ou ainda, a quantidade de gates aplicados. No entanto, essas maneiras acabam se prejudicando ao \emph{transpilar} o circuito para uma outra máquina, variando então a complexidade de acordo com a topologia e com os gates fisicamente implementados. Para solucionar isso, outra maneira de calcular é inserir partes do circuito em um Oracle, e descrever sua complexidade a partir da quantidade de vezes que ele chamado, também conhecido como \emph{query complexity} \cite{odonnell_2015_lecture} \cite{e21080800}. + +\subsection{Tipos de Oracles} +A partir da definição dos Quantum Oracles, podemos classificá-los em relação a suas estruturas e maneiras de computar os dados. + +\subsubsection{Phase Oracle} +O Phase Oracle, é o formato mais conhecido e usado em circuitos quânticos. Algoritmos como os de Deutsch–Jozsa, Grover, Simon e Bernstein–Vazirani, tomam proveito desse artifício para se sobressair em relação às soluções clássicas. + +\subsubsubsection{Funcionamento Padrão} +Seu funcionamento, se baseia em atribuir uma fase global ao circuito, tomando proveito de fatores como \emph{Phase Kickback} (fase passa do target do CNOT e é aplicado no qubit de controle), para conseguir modificar valores em superposição. + +\begin{center} + \includegraphics[scale=0.3]{phase_oracle_1.png} + \captionof{figure}{Exemplo - Phase Oracle} + \label{fig:phase-oracle-1} +\end{center} + +Na Imagem \ref{fig:phase-oracle-1}, foi introduzida uma fase $\pi$ no qubit auxiliar ($q3$) através do estado $\ket{-}$. Essa fase será responsável por modificar os valores na matriz unitária final. Nessa configuração, os CNOTs agem de uma forma um tanto diferente do convencional, aqui, ao invés de apenas inverter o valor do qubit no target quando o qubit de controle for $1$, devido a fase, ele também agirá como um gate $Z$ sendo aplicado no estado do qubit de controle. Sendo assim, ao aplicar $CNOT\ket{-}\ket{+}$ (qubit menos significativo à direita), o estado se torna ${\frac{1}{\sqrt{2}}}{(\ket{0}\ket{-} - \ket{1}\ket{-})}$, e ao remover a superposição com o $H$, a saída se torna: ${\frac{1}{\sqrt{2}}}{(\ket{+}\ket{1} - \ket{-}\ket{1})}$. Dessa forma, o qubit que antes estava como controle do gate, sofre a ação do \emph{Phase Kickback}, e seu estado padrão $\ket{0}$ é modificado pela fase e se torna $\ket{1}$. A partir disso, é possível encodar um certo valor binário dentro do Oracle e utilizá-lo para cálculos. + +\subsubsubsection{Versão Minimal Oracle} +Além disso, esse não é o único formato possível de Phase Oracle. Por apenas aplicar uma fase em certas bit-strings, o qubit auxiliar pode ser removido, e a fase pode ser adicionada através de gates $Z$controlados (ou outro gate capaz de aplicar uma fase $\pi$ para certa bit-string), mas ainda assim mantendo a natureza unitária, podendo ser visto também como um Minimal Oracle. + +\begin{center} + \includegraphics[scale=0.3]{phase_oracle_2.png} + \captionof{figure}{Exemplo Phase Oracle como um Minimal Oracle} + \label{fig:phase-oracle-2} +\end{center} + +No exemplo da imagem \ref{fig:phase-oracle-2}, foi adicionado um gate $MCP$ com a fase global $\pi$ e dois gates $X$ para inverter os qubits queremos que tenham o valor $0$, codificando assim o valor $011_{2}$ ou $3_{10}$. + +\begin{center} + \includegraphics[scale=0.5]{phase_oracle_unitary.png} + \captionof{figure}{Matriz unitária do Phase Oracle da imagem \ref{fig:phase-oracle-2}} + \label{fig:phase-oracle-unitary} +\end{center} + +Assim, é possível verificar que ao criar esse circuito, é mantida a matriz identidade mas com a fase ($-1$) no valor $1$ na coluna relativa à $011_{2}$ (figura \ref{fig:phase-oracle-unitary}). + + +\subsubsection{Boolean Oracle} +O Boolean Oracle, por sua vez, apresenta um funcionamento semelhante ao do Phase Oracle. Contudo, neste não é provida uma fase. Dessa forma, o Oracle age como uma função Booleana convencional, mapeando as entradas para valores de saída. + +\begin{center} + \includegraphics[scale=0.3]{balanced-oracle.png} + \captionof{figure}{Exemplo de Oracle Booleano} + \label{fig:boolean-oracle} +\end{center} + +O Oracle implementado na figura \ref{fig:boolean-oracle}, pode ser reutilizado para o algoritmo de Deutsch-Jozsa, bastando apenas introduzir uma fase, e o Boolean Oracle se comportará como um Phase Oracle. + +\subsubsection{Minimal Oracle} +Como já citado anteriormente, o Minimal Oracle possui uma função que, em sua essência, é unitária, não requerendo qubits adicionais. Sendo assim, este pode ser tanto Booleano como um Phase Oracle, dependendo de sua implementação. + +\begin{center} + \includegraphics[scale=0.3]{minimal-oracle.png} + \captionof{figure}{Exemplo de Minimal Oracle} + \label{fig:minimal-oracle} +\end{center} + +No exemplo da figura \ref{fig:minimal-oracle}, foram utilizados dois $SWAP$ para inverter a ordem dos valores. Com isso, a matriz final ainda se mantém unitária, com apenas valores invertidos em certas posições. + +\subsubsection{QFT(Quantum Fourier Transform)} +O QFT, em suma, é um algoritmo quântico usado para pegar o período de um estado e projeta-lo na base $X$ (ou também conhecido como base de Fourier). Esse algoritmo, toma como base a transformada discreta de Fourier e aplica essa transformação em estados quânticos.\\ +Mesmo sendo um algoritmo por si só, sua aplicação em circuitos se dá seguindo o formato de Oracles. + +\begin{center} + \includegraphics[scale=0.3]{QFT_1.png} + \captionof{figure}{Exemplo do Oracle de QFT} + \label{fig:QFT} +\end{center} + +\begin{center} + \includegraphics[scale=0.3]{QFT_1_bloch.png} + \captionof{figure}{Valores mapeados na base de Fourier} + \label{fig:QFT-bloch} +\end{center} + + +\subsubsection{Outros Oracles} +Além dos Oracles citados, é possível encontrar na literatura citações descrevendo o Oracle de Simon, o de Deutsch-Jozsa, etc. No entanto, esses são implementações de Oracles já mostrados e além disso, para o desenvolvimento deste projeto, os Oracles mais relevantes são o Phase e Boolean. Portanto, não há a necessidade de profundas investigações dessas subcategorias de Oracles. + + +\section{Desenvolvimento} + +\subsection{Explorador de Arquivos} \label{file-explorer} + +Imagine um computador quântico, com um sistema operacional quântico, capaz de interagir não apenas com a parte quântica, mas também com uma porção clássica a qualquer momento que for necessário. Essa máquina, possui todas as capacidades de um computador pessoal mais as capacidades de um computador quântico atual.\\ +Pensando nas partes desse sistema, como seria possível pegar arquivos da memória?\\ +Com essa ideia, foram testados alguns modelos de implementação de um circuito para essa finalidade. + +\subsubsection{Algoritmos usados} + +\subsubsubsection{Grover} +O algoritmo evidente para esse problema é o algoritmo de Grover. Este realiza buscas em "bancos de dados" (bit strings) desorganizados em tempo $O(\sqrt{2^n})$, do qual $n$ é o número de qubits usados. Nele, usamos um circuito do qual amplificam-se as probabilidades de encontrar os valores marcados no Oracle. + +\begin{center} + \includegraphics[scale=0.3]{Grover.png} + \captionof{figure}{Exemplo algoritmo de Grover com $3$ qubits} + \label{fig:grover-default-circuit} +\end{center} + +Para esse circuito, é preciso adicionar o conjunto $Oracle + Diffuser$ $k$ vezes, sendo $k \approx { {\pi \over {4 \sqrt{a\over{2^n}}}} - {1\over2} }$, do qual $a$ representa o número de valores marcados pelo Oracle. Como nesse projeto, visamos encontrar apenas $1$ arquivo encodado, não há necessidade de usar tal relação, sendo necessário apenas uma aplicação do conjunto para alcançar bons resultados.\\ +Contudo, mesmo sendo o melhor algoritmo, conhecido, para buscas em computação quântica, foi testado também hipóteses para possíveis maneiras de melhor os valores das distribuições finais. Para isso, foram testadas inúmeras combinações de rotações $RY$ e foram comparadas com o convencional usado pelo algoritmo ($H$). + +\begin{center} + \includegraphics[scale=0.5]{improvement-grover-algorithm-4bits-0-to-2pi.png} + \captionof{figure}{Comparação usando o algoritmo de Grover convencional e o algoritmo modificado com o melhor ângulo (entre $[0, 2\pi]$) para cada bit-string de quatro bits} + \label{fig:best-angle-grover} +\end{center} + +Ao utilizar as rotações específicas para cada bit-string, é possível conseguir melhores resultados ao medir os valores na saída, se sobressaindo em relação a rotação padrão. + +\begin{center} + \includegraphics[scale=0.4]{new-grover-test-different-bit-strings-with-optimal-angles.png} + \captionof{figure}{Teste utilizando os melhores ângulos de cada bit-string em bit-strings diferentes} + \label{fig:best-angles-diff-bit-strings-grover} +\end{center} + +No entanto, ao utilizar esses valores com outras bit-strings, os resultados não conseguem alcançar tal limiar, além modificar as outras probabilidades de forma irregular. Sendo assim, a rotação convencional é a melhor na maioria das vezes.\\ +Além disso, para bit-strings de dois bits, utilizar a superposição dada por $H$ se mostra a melhor alternativa. + +\begin{center} + \includegraphics[scale=0.5]{classical_grover_for_1_bit_strings_l2_outcomes.png} + \captionof{figure}{Resultado Grover padrão encodado uma bit-string de 2 bits} + \label{fig:l2-grover-classical-outcomes} +\end{center} + +\begin{center} + \includegraphics[scale=0.5]{new_grover_for_1_bit_strings_l2_outcomes.png} + \captionof{figure}{Resultado Grover modificado encodado uma bit-string de 2 bits} + \label{fig:l2-grover-new-outcomes} +\end{center} + +Com isso, para ter o melhor dos dois mundos, foi usado uma versão híbrida do algoritmo. Assim, para criar o circuito, é passado o valor a ser encodado por uma Hash-Table com os ângulos otimizados. Dessa forma, é possível maximizar as probabilidades de encontrar, nesse caso, o arquivo que está sendo procurado. + +\subsubsubsection{Diferença de conjuntos} +Sobrepondo dois Phase Oracles distintos, com ranges de valores diferentes, é realizada a operação de diferença entre conjuntos \cite{sanchezrivero2023initial}. + +\begin{center} + \includegraphics[scale=0.3]{less_than.png} + \captionof{figure}{Exemplo - diferença de conjuntos} + \label{fig:less-than-circuit} +\end{center} + +Nesse exemplo \ref{fig:less-than-circuit} foi encodado no primeiro Oracle o set $\{000, 001, 010, 0110\}$ e no segundo $\{000, 001, 010, 011, 100, 101\}$. + +\begin{center} + \includegraphics[scale=0.5]{less_than_unitary.png} + \captionof{figure}{Resultado da diferença de conjuntos} + \label{fig:less-than-circuit-unitary} +\end{center} + +Ao sobrepô-los \ref{fig:less-than-circuit-unitary}, apenas os valores $\{100, 101\}$ permaneceram com a fase, representando então a sobreposição delas. + + +\subsubsection{Solução} + +Para a solução do problema, foi criado uma hash function $C: v \to c$, da qual $v$ é o path de um arquivo e $c$ sua bit-string respectiva. Com essa função em mãos, podemos utilizar o conjunto dos valores retornados e encodá-los em um Phase Oracle, criando então uma Look-Up-Table para os arquivos existentes na máquina (agindo como a memória).\\ +Além disso, é necessário utilizar um segundo Oracle para a pesquisa, encodando todos os valores existentes, menos os que foram requisitados. Assim, ao realizar a diferença entre conjuntos, apenas os valores procurados se manterão marcados. + +\begin{center} + \includegraphics[scale=0.4]{sets-difference-look-up-table-oracle.png} + \captionof{figure}{Diferença de conjuntos com as Look-Up-Tables} + \label{fig:luts} +\end{center} + + +Por fim, é usado o aprimoramento dos ângulos para conseguir melhores probabilidades. + +\begin{center} + \includegraphics[scale=0.4]{improved_file_explorer.png} + \captionof{figure}{Explorador de arquivos implementação} + \label{fig:file-explorer} +\end{center} + +Dessa forma, o arquivo procurado tem sua probabilidade maximizada pelo circuito, sendo apresentada a distribuição após $n$ medições. + +\begin{center} + \includegraphics[scale=0.6]{AER-file-explorer-hist-new-grover-mapped-rotations.png} + \captionof{figure}{Explorador de arquivos resultados - Qiskit AER ($shots=1000$)} + \label{fig:file-explorer-hist} +\end{center} + +\subsubsection{Resultados} + +Para esse caso hipotético, certamente essa é um das melhores maneiras para fazer buscas dentre todos os arquivos armazenados.\\ +Contudo, ao projetar esse modelo para um sistema clássico, tentando tomar proveito da computação quântica, essa não se mostra como a melhor opção. Isso acontece pois, guardar uma Look-Up-Table para os arquivos, e outra para cada ângulo de cada bit-string dentre as $2^{n}$ combinações, pode ser custoso e lento, além de requerer uma hash function com pouca probabilidade de colisão. Para diminuir esse overhead, poderia ser utilizado, simplesmente, o algoritmo de Grover sem maiores alterações, mas ainda assim seria necessário ter mapeado todos os arquivos em disco para a tabela. Assim, tomando como referência sistemas que utilizam o mapeamento de arquivos baseado em árvores ($O(log(n))$), esse método não apresenta ganho algum, além de possuir a probabilidade de não encontrar, ou retornar o arquivo errado. + +\begin{center} + \includegraphics[scale=0.5]{algorithms-finding-comparation.png} + \captionof{figure}{Comparação algoritmos usados na pesquisa} + \label{fig:file-explorer-comparation-O} +\end{center} + +Sendo assim, os algoritmos apresentados, são as melhores alternativas para serem utilizadas em um sistema que é, principalmente, quântico. Mas para casos de otimização clássica, deve ser utilizado apenas para complexidades $\ge O(n)$. + + +\subsection{Milhas para Quilômetros} \label{conversion} +O segundo problema testado, foi a conversão de milhas para quilômetros. Essa ideia se deu após a descoberta de um algoritmo capaz de calcular a sequência de Fibonacci usando circuitos quânticos, algoritmo essencial para esse projeto. + +\subsubsection{Algoritmos usados} + +\subsubsubsection{Algoritmo Quântico de Fibonacci} +A versão quântica usada para calcular Fibonacci foi apresentada em \cite{gilliam2020canonical} e demonstra que, utilizando um circuito do qual coloca em superposição todas as bit-strings com $n$ qubits, e então realizando operações para remover valores que possuem $1$s consecutivos, é possível encontrar o valor $n$ na sequência. + +\begin{center} + \includegraphics[scale=0.3]{fibonacci-circuit.png} + \captionof{figure}{Exemplo Algoritmo Quântico de Fibonacci} + \label{fig:fibonacci-circuit} +\end{center} + +\begin{center} + \includegraphics[scale=0.6]{fibonacci-4.png} + \captionof{figure}{Resultado Fibonacci - F(4)} + \label{fig:fibonacci-circuit-result} +\end{center} + +Após executar o circuito, é necessário verificar a quantidade de bit-strings únicas que apareceram durante os experimentos. No exemplo em \ref{fig:fibonacci-circuit-result}, foram usados $4$ qubits para calcular $F(4)$. Assim, ao contar as bit-strings, temos $F(4) = 8$, retornando então o quarto valor da sequência (nesse caso, a sequência começa do valor $2$, seguindo dessa forma: $F(1)=2, F(2)=3, F(3)=5, F(4)=8, F(5)=13, F(6)=21, ...$). \\ +Com isso, é possível usar esse circuito para computações de $F(n)$ utilizando $n$ qubits para encontrar o valor requisitado nessa mesma posição $n$. + +\subsubsubsection{Aproximação de Milhas para Quilômetros usando Fibonacci} + +Para aproximar o valor de milhas para quilômetros, podemos utilizar a sequência de Fibonacci com a seguinte relação: $F_{km} = F_{milhas}(n+1)$, sendo aqui $F$ a versão clássica de Fibonacci com $F(1) = 1$ e $F(2) = 2$. Dessa forma, se a posição $n$ é conhecida, valor aproximado em quilômetros será dado em $n+1$. + + +\begin{table}[!h] + \begin{center} + \begin{tabular}{ |c|c| } + \hline + milhas & km \\ + \hline + 1 & 2 \\ + \hline + 2 & 3 \\ + \hline + 3 & 5 \\ + \hline + 5 & 8 \\ + \hline + \end{tabular} + \caption{valores aproximados de Milhas para Quilômetros} + \end{center} +\end{table} + +Valores não presentes na sequência, podem ser aproximados repartindo o valor em partes menores. Por exemplo, para transformar $10$ milhas em quilômetros, podemos fazer: $8 + 2 = 10miles \to F(5) + F(2) \to F(5+1) + F(2+1) = 13 + 3 = 16km$, aproximando então do valor mais preciso de $\approx 16.0934$ + + +\subsubsection{Implementação do circuito} +Com essa formulação, o algoritmo final segue esse fluxo: + +\begin{algorithm}[H] + \begin{algorithmic} + \State{partes = $quebraValor(valorDeEntrada)$} + \For{parte in partes} + \State{Aplique o Oracle $F(parte)$} + \State{Faça as medições nos qubits} + \State{Reset os qubits usados} + \EndFor + \State{verifique o resultado de cada bit-string} + \State{Multiplique cada resultado com o valor $i$ correspondente} + + \end{algorithmic} + \caption{Algoritmo quântico para a conversão} + \label{alg:miles-to-km-quantum-algortihm} +\end{algorithm} + + +Nesse formato, é necessário pré-processamento utilizando um algoritmo clássico para dividir o número em partes menores. Este então, retorna tuplas mapeando a entrada para o valor $n_i$ e a quantidade de vezes que é necessário a sua aplicação $p$, $(n) \to ((n_1, p_1), (n_2, p_2), ...)$.\\ +A partir disso, a parte quântica segue com a aplicação do algoritmo de Fibonacci em formato de Oracle no circuito para o valor $n_i$, em seguida as medições nos qubits usados pelo Oracle e por fim o reset deles, seguindo esse ciclo para cada valor $n$.\\ +Após terminar, basta pegar os resultados, e, com um pouco de pós-processamento, agrupar as partes e multiplicar pelo seus valores $p$, retornando então o valor aproximado em quilômetros. + +\begin{center} + \includegraphics[scale=0.15]{number_breakdown_circuit.png} + \captionof{figure}{Circuito de conversão} + \label{fig:miles-km-circuit} +\end{center} + +\subsubsection{Resultados} +Usando esse método, é possível alcançar os valores esperados. Contudo existem alguns pontos que tornam esse método inviável: + +\begin{enumerate} + +\item{\textbf{Quantidade necessária de medições e tempo de execução}}\\ +Para cada medição do circuito, é necessária uma quantidade alta de \emph{shots} (valores entre $5000$ e $10000$ foram testados localmente usando o Qiskit AER e, para os testes no hardware da IBM, foram usados apenas $1000$ por questões de extrema demora e erros durante os experimentos) para alcançar melhores resultados, aumentando também o tempo necessário para finalizar a execução. + +\begin{center} + \includegraphics[scale=0.6]{comparison_miles_to_km.png} + \captionof{figure}{Comparação tempos de execução} + \label{fig:comparasion-miles-km-time} +\end{center} + +Como mostrado em \ref{fig:comparasion-miles-km-time}, o tempo das versões clássicas, com e sem memoization, possuem tempos praticamente constantes em relação as versões quânticas. + + +\item{\textbf{Erros}}\\ +Como a maioria dos algoritmos Quânticos da era NISQ(noisy intermediate-scale quantum), os erros também estão presentes, e por serem utilizados inúmeros gates multi-qubits, esses erros podem ainda se intensificar de acordo com hardware usado. + +\item{\textbf{Imprecisão}}\\ +\begin{center} + \includegraphics[scale=0.4]{miles_to_km_defiance.png} + \captionof{figure}{Comparação resultados versão clássica e quântica} + \label{fig:values-miles-km-quantum} +\end{center} + +Como mostrado em \ref{fig:values-miles-km-quantum}, valores pequenos possuem uma boa precisão com os números esperados, mas a partir de certo ponto, eles começam a se distanciar e perdem totalmente a precisão. + +\item{\textbf{Necessidade de intervenção clássica}}\\ +Por requisitar pré e pós processamento clássico e apenas uma pequena parcela ser de fato processamento quântico, a necessidade de utilizar esse algoritmo se reduz a zero. + +\end{enumerate} + +Sendo assim, esse algoritmo não consegue se sair bem como a versão clássica, além de ser mais custoso na maioria dos casos. Para evoluir essa implementação, será necessário remodelá-lo para um versão com pouca, ou nenhuma, computação clássica, priorizando a maneira como dados podem ser encodados e transformados no circuito. + +\subsection{Torres de Hanoi} \label{hanoi} +Para a criação das torres de Hanoi, foi pensado em uma maneira de encodar a posição dos discos na torre utilizando seus valores binários e o Phase Oracle como meio de armazenamento. + +\subsubsection{Implementação} +Para esse projeto, são necessários $(\floor{\log_2{x}} + 1) * 3$ qubits, sendo $x$ o número de discos. Estes seguem a ordem $\ket{t_{n-1} t_{n-2} ... t_0}\ket{a_{n-1} a_{n-2} ... a_0}\ket{s_{n-1} s_{n-2} ... s_0}$, sendo $s$,$a$,$t$ a primeira, segunda e última torre respectivamente, e $n = {{n \space qubits} \over 3}$.\\ +Com essa configuração, os números de $1$ à $x$ são codificados em seu formato binário nos qubits $s$, utilizando a fase global $\pi$. Em seguida, são realizadas operações de $swap$ bit-a-bit para mover os valores dos $n$ qubits menos significativos para os $n$ mais significativos.\\ +Para realizar essas operações, é necessário pré-calcular, classicamente, a sequência de movimentos usados \cite{ldiaandr_2021_tower} \cite{diptokarmakar47_2019_how} \cite{a2020_towers} \cite{geeksforgeeks_2014_program}. Dessa forma, essa versão quântica age como um jogador com uma lista de passos a serem seguidos, executando-os um-a-um. + +\begin{center} + \includegraphics[scale=0.3]{hanoi_3_discs.png} + \captionof{figure}{Torre de Hanoi com 3 discos} + \label{fig:hanoi} +\end{center} + +Nesse circuito, pode-se utilizar algoritmos adicionar, como o algoritmo de Grover, para verificar o resultado, ou executar outras operações nos valores. + +\begin{center} + \includegraphics[scale=0.5]{result_hanoi_3_discs.png} + \captionof{figure}{Resultado usando Grover - Torre de Hanoi com 3 discos} + \label{fig:hanoi-result} +\end{center} + +Em \ref{fig:hanoi-result}, os $3$ maiores resultados obtidos são as bit-strings com $01$, $10$ e $11$ nos bits mais significativos. Sendo assim, o resultado esperado para uma torre com 3 discos, foi atingido. + +\subsubsection{Resultados} +Nessa versão, é seguida a mesma sequência do algoritmo clássico, necessitando, inclusive, de pré-processamento para conseguir a sequência de ações.\\ +Em uma versão clássica, o movimento de retirar um disco de uma torre e move-lo para a próxima requer também esse pré-processamento, podendo ser realizado um-a-um ou tudo de uma vez antes da partida. Dessa forma, a versão clássica e quântica se igualam, não tendo ganhos ou perdas expressivas. + +\subsection{Buckshot Roulette} \label{buckshot} +\emph{Buckshot Roulette} é um jogo de computador feito pelo desenvolvedor \href{https://mikeklubnika.itch.io/}{Mike Klubnika}, tomando como base a premissa de reinventar a infame roleta russa. No jogo, você é desafiado por um demônio (dealer), e caso você ganhe, uma recompensa lhe será dado, caso contrário o jogo reinicia e você pode tentar novamente.\\ +Nesse projeto, foi tomado como objetivo analisar a primeira rodado do jogo e tentar encontrar a melhor estratégia para maximizar os ganhos do jogador. O motivo da escolha da primeira rodada se dá pela sua simplicidade, sendo direto ao ponto, sem power-ups ou fatores que dificultariam as simulações, mas, ainda assim, mantendo a essência do jogo. + +\subsubsection{Dinâmica} +Na rodada, são colocadas $2$ balas falsas e $1$ bala verdadeira na arma, sendo o player o primeiro a jogar. Ambos os jogadores podem escolher entre atirar em si mesmo, ou em seu oponente. Assim, a próxima ação é estritamente depende das probabilidades de ser uma bala real ou falsa. A partir dai, a dinâmica funciona da seguinte forma: + +\begin{algorithm}[H] + \begin{algorithmic} + \If{jogador escolhe atirar no dealer} + \If{bala for real} + \State{Jogador ganha a rodada} + \Else + \State{Dealer joga a próxima} + \EndIf + \Else + \If{bala for real} + \State{Jogador perde} + \Else + \State{Player joga a próxima} + \EndIf + \EndIf + + \end{algorithmic} + \caption{Possíveis jogadas} + \label{alg:buckshot-roulette} +\end{algorithm} + +Essa dinâmica se repete a cada jogada, sendo válida tanto para o dealer, como para o player. + + +\subsubsection{Versão clássica} +Para entender melhor a dinâmica, é possível representar cada ação e suas consequências em formato de árvore. Dessa forma, cada jogada leva a partida para mais próximo do fim. + + +\begin{center} + \includegraphics[scale=0.2]{buckshot-roulette-diagram.png} + \captionof{figure}{Buckshot Roulette diagrama de árvore} + \label{fig:classical-model-bckr} +\end{center} + +Nessa estrutura, é previsto que o jogador seja um agente racional, e o dealer uma máquina com ações aleatórias. Assim, o jogador sempre visa o seu próprio benefício, enquanto o dealer age pela sorte.Tal comportamento pode ser visto nas folhas da árvore do qual, sempre que o player é o próximo jogador, sua ação é apenas atirar no adversário, enquanto o dealer ainda possui a possibilidade de entregar o jogo atirando em si próprio, mesmo havendo apenas uma bala na arma e, pela lógica do jogo, ser uma bala verdadeira.\\ +Seguindo essa estrutura, podemos simular os possíveis caminhos e verificar a melhor estratégia. + +\begin{center} + \includegraphics[scale=0.6]{optimal_player_strategy.png} + \captionof{figure}{Buckshot Roulette clássico - melhor estratégia} + \label{fig:classical-model-bckr-optimal-strategy} +\end{center} + +Após testar os caminhos possíveis, o melhor resultado obtido foi esse apresentado acima em \ref{fig:classical-model-bckr-optimal-strategy}. Com um pouco de investigação, foi possível entender que essa estratégia se baseia no jogador começar atirando no dealer. Isso acontece, pois, ao seguir tal caminho, ele tem uma chance a menos de perder a rodada ao atirar em si mesmo logo no começo da partida. + +\begin{table}[!h] + \begin{center} + \begin{tabular}{ |c|c|c|c| } + \hline + rodada & ação & resultado da ação & resultado da partida \\ + \hline + 1 & player atira no dealer & real & player ganha\\ + \hline + 1 & player atira no dealer & fake & -\\ + \hline + 2 & dealer atira no player & real & dealer ganha\\ + \hline + 2 & dealer atira no player & fake & -\\ + \hline + 2 & dealer atira nele mesmo & real & player ganha\\ + \hline + 2 & dealer atira nele mesmo & fake & -\\ + \hline + 3 & player atira no dealer & real & player ganha\\ + \hline + 3 & dealer atira no player & real & dealer ganha\\ + \hline + 3 & dealer atira nele mesmo & real & player ganha\\ + \hline + \end{tabular} + \caption{melhor estratégia - possíveis resultados} + \end{center} +\end{table} + +\subsubsection{Versão quântica} +Para a versão quântica, um circuito foi modelado imitando o funcionamento do game. Nesse algoritmo, um Oracle foi usado para cada jogador, implementando internamente sua estratégia. + +\begin{center} + \includegraphics[scale=0.3]{quantum_buckshot_roulette.png} + \captionof{figure}{Circuito para o Buckshot Roulette} + \label{fig:bckr-circuit} +\end{center} + +Além disso, para encontrar a estratégia, foram inseridos dois parâmetros dentro do Oracle do player, sendo possível configurar qualquer valor $\theta$ e $\phi$ para modificar a rotação na Bloch Sphere.\\ +Após verificar os possíveis valores, a rotação que entregou o melhor resultado foi $\theta\approx 3.0853981633974477, \phi\approx3.7853981633974474$ radianos. Usando essa estratégia, os resultados foram semelhantes a versão clássica. + +\begin{center} + \includegraphics[scale=0.6]{final_buckshot_roulette_quantum_optimal_strategy.png} + \captionof{figure}{Resultado Buckshot Roulette quântico - Qiskit AER} + \label{fig:bckr-circuit-result} +\end{center} + +Observando a Bloch Sphere do estado gerado por essa rotação, é possível ver também que a estratégia se aproxima da versão clássica, com o player preferindo atirar no dealer a maior parte do tempo (o valor $1$ representa atirar no outro jogador e $0$ em si mesmo). + +\begin{center} + \includegraphics[scale=0.6]{player_optimal_strategy_bloch.png} + \captionof{figure}{Melhor estratégia Buckshot Roulette quântico - Bloch Sphere} + \label{fig:bckr-bloch-sphere-best-strategy} +\end{center} + +Como uma última nota sobre o circuito, no exemplo \ref{fig:bckr-circuit-result}, o total de partidas ganhas por cada jogador não chega ao total jogado (nesse caso $1000$ partidas foram simuladas). Isso acontece devido ao design do circuito, o qual não é possível verificar a jogada do player anterior, acarretando na continuação do jogo mesmo que um dos players já tenha perdido, o que cria a necessidade do uso de pós processamento para limpar os resultados inválidos. + +\subsubsection{Conclusões} +Para esse problema, não há uma competição certa entre as duas versões, já que uma é diretamente inspirada na outra. Contudo, a versão quântica possui ainda a possibilidade de explorar mais valores do que a versão clássica, deixando o player mais aberto a escolha de novas estratégias, o que pode ser visto como um ponto a favor da versão quântica.\\ +Em suma, ambos as simulações atingiram o mesmo resultado e foi demonstrado que é possível usar o quantum Oracle como uma representação de um player dentro do circuito. + +\subsection{QRAM} \label{qram} +Por fim, o último projeto realizado foi o de uma \emph{QRAM} utilizando os Oracles. Nessa versão, foi testado a criação de \emph{QROMs} (com dados estáticos dentro), e uma possível maneira de utilizar uma QRAM hábil para escrita.\\ +Neste projeto, foi tido como objetivo o armazenamento de estados quânticos (superposições), e não apenas de bit-strings clássicas. Isso pois, para garantir a real eficiência da computação quântica, a superposição é indispensável, e seu armazenamento pode ser um ponto chave para algoritmos melhores. + +\subsubsection{QROM} +Para a QROM, são utilizados $n$ qubits para o barramento de endereços e $m$ qubits para a o barramento de dados, sem a necessidade desses valores estarem correlacionados, podendo assim ser utilizado, por exemplo, $n=3; m=10$. Nessa estrutura, podemos mapear diversas superposições diferentes e aplicá-las quando certo endereço for chamado. Sendo assim, o algoritmo armazena os valores a partir da configuração de gates controlados interiores ao Oracle, criando uma superposição apenas quando certo valor de entrada é inserido, seguindo o formato: ${\ket{0}^{\otimes m}} {\ket{a_{n-1} a_{n-2} ... a_0}}$. + +\begin{center} + \includegraphics[scale=0.5]{qrom_1.png} + \captionof{figure}{Exemplo circuito - QROM} + \label{fig:qrom} +\end{center} + + +Em \ref{fig:qrom}, $q_{0}$ age como o barramento de endereços, enquanto $q_{1}$ como o barramento de dados. Aqui configuramos para mapear o endereço $0 \to RY({\pi\over{3}})$ e $1 \to H$. Sendo assim, para $n$ qubits no barramento de endereços é possível mapear para $2^{n}$ estados, e com os $m$ qubits é possível criar estados mais complexos aumentando sua quantidade e utilizando outros gates acionados para um mesmo endereço. \\ +A partir da abstração desse circuito para um Oracle,é possível utilizar a QROM em um circuito maior, chamando-o novamente sempre que for necessário um certo estado. Além disso, no formato de Oracle, há a possibilidade de colocar os endereços em superposição e ter uma mistura de estados na saída. + +\begin{center} + \includegraphics[scale=0.5]{qrom_1_usage.png} + \captionof{figure}{Exemplo circuito usando a QROM com endereços em superposição} + \label{fig:qrom-usage} +\end{center} + +Nesse exemplo \ref{fig:qrom-usage}, os endereços são colocados em superposição no qubit \emph{addr} e assim os estados em internos do Oracle são colocados em uma sobreposição de $50-50$ no qubit \emph{out}. Com isso, pode-se aproveitar do resultado de \emph{out} em outros qubits, como nesse caso o qubit \emph{q}.\\ +Contudo, devido ao no-cloning-theorem, não é possível copiar esse estado para outro qubit alvo. Sendo assim, não é possível ter dois qubits com o mesmo estado a partir daquele armazenado, podemos apenas pegar o resultado de uma superposição e utilizar o valor binário como trigger para outra operação.\\ +Uma opção para solucionar isso, é utilizar o teleporte quântico, destruindo assim o estado interno do Oracle e movendo-o para outro qubit desejado. + +\subsubsection{QRAM} +Para criar uma QRAM com a possibilidade de escrita, o teleporte quântico, já citado anteriormente, é um caminho para isso. Com ele, podemos ter $n$ qubits, sendo cada qubit um endereço único, e utilizar do teleporte para mover um estado que estava no circuito, para o domínio da QRAM. + + \begin{center} + \includegraphics[scale=0.4]{qram.png} + \captionof{figure}{Exemplo circuito - QRAM} + \label{fig:qram} + \end{center} + +Aqui, os $n$ qubits agem tanto como endereços quanto dados (qubits \emph{data}). Além disso, são necessários mais $n$ qubits para o teleporte (qubits \emph{t}).\\ +Com isso, é possível ver que o circuito cresce de forma linear a medida que mais endereços são requisitados, sendo assim $O(2*n)$ em relação à quantidade de qubits total.\\ +Na configuração acima \ref{fig:qram}, é possível sobre-escrever valores, assim como interferir com outras superposições apenas teleportando novos valores para o qubit $i$. Dessa forma, podemos criar uma memória menor e, conforme necessário, remover e adicionar outros valores. + +\subsubsection{Conclusões} +Com esse projeto, e com a literatura usada \cite{jaques2023qram}\cite{Giovannetti_2008}, é possível entender que criar versões quânticas de memória é uma tarefa desafiadora, e ainda não é possível tomar proveito de todo o seu potencial usando as superposições e estados de outras bases a não ser a base computacional $({0,1})$. Fatores como, complexidade de mapear dados, complexidade de utilizar a memória (já que é necessário reaplica-lá toda vez que for requisitado seu uso), no-cloning-theorem, decorrência, etc. Influenciam diretamente na possibilidade de sua criação.Mesmo sendo possível implementar pequenos circuitos que agem como memória, como os mostrados aqui, ainda não é usual e muito menos universal para qualquer tipo de máquina quântica.\\ +Além disso, por esses fatores, a QRAM, pode dificultar a execução de múltiplas tarefas, uma vez que o valor presente nela não pode ser copiado, e ao move-lo para outro qubit, o valor anterior da QRAM é completamente destruído.\\ +Como mostrado na literatura, para resolver esses problemas, o melhor approach para a sua implementação, é a utilização de um hardware especifico para essa finalidade, sem a intervenção de circuitos quânticos.\\ +Em suma, mesmo sendo possível criar pequenos circuitos para implementar uma memória, seu uso está longe de se comparar as versões clássicas. + +\subsection{Conclusão} +Perante o exposto, foi evidenciado que a computação quântica ainda tem muito potencial. No entanto, é possível ver que certos fatores, e a falta de alguns recursos, prejudicam o seu uso no momento.\\ +Como já mostrado pelas inúmeras pesquisas em áreas como, química, machine learning, criptografia, otimização, etc. A computação quântica pode, num futuro próximo, ser um ponto crucial para conseguir resultados mais precisos e, em certos casos, em menor tempo.\\ +No entanto, na era NISQ, para conseguir utilizar todo seu potencial, é necessário ter em conjunto máquinas clássicas para pré e/ou pós processamento, seja para executar alguma tarefa computacionalmente custosa para um computador quântico, ou para o uso de algoritmos de detecção e correção de erros. Como demonstrado aqui, ao utilizar esse conjunto, é possível ter o melhor dos dois mundos, mesmo que na maioria do casos, esse formato de implementação não se sobressaí as versões já utilizadas classicamente, com o tempo e o aperfeiçoamento das técnicas e do hardware darão uma abrangência maior aos usos da computação quântica.\\ +Em resumo, é possível tirar proveito da computação quântica para problemas que conhecemos classicamente. No entanto, é necessário averiguar se há algum fator quântico que pode ser explorado para conseguir alguma vantagem perante a sua versão clássica, se houver, é necessário verificar também se todas as tarefas são mais vantajosas ao serem implementadas usando o algoritmo quântico, ou se ao explorar uma abordagem híbrida os ganhos podem ser maiores. + +\nocite{SOARE2009368} +\nocite{odonnell_2015_lecture} +\nocite{bacon_2006_cse} +\nocite{lipics_stacs} +\nocite{odonnell_2015_lecture_2} +\nocite{brodkorb_2019_the} +\nocite{amreen_oracle} +\nocite{kalyanasyndaram_2021_mod04lec23} +\nocite{davis_2006_turing} +\nocite{viswanathan_2013_reductions} +\nocite{Fan_2007} +\nocite{cryptoeprint:2020/1270} +\nocite{buhrman1998quantum} +\nocite{sanchezrivero2023initial} +\nocite{gilliam2020canonical} +\nocite{Kashefi_2002} +\nocite{e21080800} +\nocite{Zeng_2014} +\nocite{atici2004comparative} +\nocite{sundarappan_2022_how} +\nocite{dai_view} +\nocite{sep-game-theory} +\nocite{Giovannetti_2008} +\nocite{jaques2023qram} +\nocite{PythonEWL2022} +\nocite{frackiewicz2011application} +\nocite{Eisert_1999} +\nocite{usman_2019_kilometres} +\nocite{ldiaandr_2021_tower} +\nocite{diptokarmakar47_2019_how} +\nocite{a2020_towers} +\nocite{geeksforgeeks_2014_program} +\nocite{khan_2021_quantum} +\nocite{legn_2022_dilemma} +\nocite{siegelwax_2022_quantum} +\nocite{landi_density} +\nocite{bacon_2006_cse} +\nocite{vijayakrishnan_2019_role} +\nocite{python_scientific} +\nocite{scipyoptimizeminimize_scalar} +\nocite{davis_optimization} +\nocite{scipyoptimizeminimize} + + + +\bibliographystyle{unsrt} +\bibliography{references} + + +\end{document} diff --git a/latex/references.bib b/latex/references.bib new file mode 100644 index 0000000..1a227ab --- /dev/null +++ b/latex/references.bib @@ -0,0 +1,395 @@ +@article{SOARE2009368, + title={Turing oracle machines, online computing, and three displacements in computability theory}, + journal={Annals of Pure and Applied Logic}, + volume={160}, + number={3}, + pages={368-399}, + year={2009}, + note={Computation and Logic in the Real World: CiE 2007}, + issn={0168-0072}, + doi={https://doi.org/10.1016/j.apal.2009.01.008}, + url={https://www.sciencedirect.com/science/article/pii/S0168007209000128}, + author={Robert I. Soare}, + keywords={Turing oracle machine, Incomputability, Relative computability, Church–Turing Thesis, Data base computing}, + abstract={We begin with the history of the discovery of computability in the 1930’s, the roles of Gödel, Church, and Turing, and the formalisms of recursive functions and Turing automatic machines (a-machines). To whom did Gödel credit the definition of a computable function? We present Turing’s notion [1939, §4] of an oracle machine (o-machine) and Post’s development of it in [1944, §11], [1948], and finally Kleene-Post [1954] into its present form. A number of topics arose from Turing functionals including continuous functionals on Cantor space and online computations. Almost all the results in theoretical computability use relative reducibility and o-machines rather than a-machines and most computing processes in the real world are potentially online or interactive. Therefore, we argue that Turing o-machines, relative computability, and online computing are the most important concepts in the subject, more so than Turing a-machines and standard computable functions since they are special cases of the former and are presented first only for pedagogical clarity to beginning students. At the end in §10–§13 we consider three displacements in computability theory, and the historical reasons they occurred. Several brief conclusions are drawn in §14.} +} + +@misc{odonnell_2015_lecture, + author = {O’Donnell, Ryan}, + month = {09}, + title = {Lecture 5: Quantum Query Complexity}, + url = {https://www.cs.cmu.edu/~odonnell/quantum15/lecture05.pdf}, + year = {2015} +} + +@misc{bacon_2006_cse, + author = {Bacon, Dave}, + title = {CSE 599d -Quantum Computing Simon's Algorithm}, + url = {https://courses.cs.washington.edu/courses/cse599d/06wi/lecturenotes8.pdf}, + year = {2006} +} + + +@inproceedings{lipics_stacs, + doi = {10.4230/LIPICS.STACS.2014.482}, + url = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.STACS.2014.482}, + author = {Kothari, Robin}, + keywords = {quantum algorithms, quantum query complexity, oracle identification}, + language = {en}, + title = {An optimal quantum algorithm for the oracle identification problem}, + publisher = {Schloss Dagstuhl – Leibniz-Zentrum für Informatik}, + year = {2014}, + copyright = {Creative Commons Attribution 3.0 Unported license} +} + +@misc{odonnell_2015_lecture_2, + author = {O’Donnell, Ryan}, + month = {10}, + title = {Lecture 13: Lower Bounds Using the Adversary Method}, + url = {https://www.cs.cmu.edu/~odonnell/quantum15/lecture13.pdf}, + year = {2015} +} + +@misc{brodkorb_2019_the, + author = {Brodkorb, Laurel and Epstein, Rachel}, + month = {12}, + title = {The Entscheidungsproblem and Alan Turing}, + url = {https://www.gcsu.edu/sites/files/page-assets/node-808/attachments/brodkorb.pdf}, + year = {2019} +} + +@misc{amreen_oracle, + author = {Amreen, Sadika and Hoque, Reazul}, + title = {Oracle Turing Machines}, + url = {https://web.eecs.utk.edu/~bmaclenn/Classes/494-594-UC-F15/presentations/OTM.pdf} +} + +@misc{kalyanasyndaram_2021_mod04lec23, + author = {Kalyanasyndaram, Subrahmanyam}, + month = {09}, + title = {mod04lec23 - Oracle Turing Machines}, + url = {https://youtu.be/ElSExH4Xolc}, + year = {2021}, + organization = {www.youtube.com} +} + +@misc{davis_2006_turing, + author = {Davis, Martin}, + month = {11}, + title = {Turing Reducibility?}, + url = {https://www.ams.org/notices/200610/whatis-davis.pdf}, + urldate = {2023-10-09}, + year = {2006} +} + +@misc{viswanathan_2013_reductions, + author = {Viswanathan, Mahesh}, + title = {Reductions 1.1 Introduction Reductions}, + url = {https://courses.grainger.illinois.edu/cs373/fa2013/Lectures/lec23.pdf}, + year = {2013} +} + + +@inproceedings{Fan_2007, + title={A Generalization of the Deutsch-Jozsa Algorithm to Multi-Valued Quantum Logic}, + ISSN={0195-623X}, + url={http://dx.doi.org/10.1109/ISMVL.2007.3}, + DOI={10.1109/ismvl.2007.3}, + booktitle={37th International Symposium on Multiple-Valued Logic (ISMVL’07)}, + publisher={IEEE}, + author={Fan, Yale}, + year={2007}, + month=may +} + +@misc{cryptoeprint:2020/1270, + author = {Takashi Yamakawa and Mark Zhandry}, + title = {Classical vs Quantum Random Oracles}, + howpublished = {Cryptology ePrint Archive, Paper 2020/1270}, + year = {2020}, + note = {\url{https://eprint.iacr.org/2020/1270}}, + url = {https://eprint.iacr.org/2020/1270} +} + +@misc{buhrman1998quantum, + title={Quantum vs. Classical Communication and Computation}, + author={Harry Buhrman and Richard Cleve and Avi Wigderson}, + year={1998}, + eprint={quant-ph/9802040}, + archivePrefix={arXiv}, + primaryClass={quant-ph} +} + +@misc{sanchezrivero2023initial, + title={Some Initial Guidelines for Building Reusable Quantum Oracles}, + author={Javier Sanchez-Rivero and Daniel Talaván and Jose Garcia-Alonso and Antonio Ruiz-Cortés and Juan Manuel Murillo}, + year={2023}, + eprint={2303.14959}, + archivePrefix={arXiv}, + primaryClass={quant-ph} +} + +@misc{gilliam2020canonical, + title={Canonical Construction of Quantum Oracles}, + author={Austin Gilliam and Marco Pistoia and Constantin Gonciulea}, + year={2020}, + eprint={2006.10656}, + archivePrefix={arXiv}, + primaryClass={quant-ph} +} + + +@article{Kashefi_2002, + title={Comparison of quantum oracles}, + volume={65}, + ISSN={1094-1622}, + url={http://dx.doi.org/10.1103/PhysRevA.65.050304}, + DOI={10.1103/physreva.65.050304}, + number={5}, + journal={Physical Review A}, + publisher={American Physical Society (APS)}, + author={Kashefi, Elham and Kent, Adrian and Vedral, Vlatko and Banaszek, Konrad}, + year={2002}, + month=may +} + +@Article{e21080800, + AUTHOR = {Johansson, Niklas and Larsson, Jan-Ã…ke}, + TITLE = {Quantum Simulation Logic, Oracles, and the Quantum Advantage}, + JOURNAL = {Entropy}, + VOLUME = {21}, + YEAR = {2019}, + NUMBER = {8}, + ARTICLE-NUMBER = {800}, + URL = {https://www.mdpi.com/1099-4300/21/8/800}, + PubMedID = {33267513}, + ISSN = {1099-4300}, + ABSTRACT = {Query complexity is a common tool for comparing quantum and classical computation, and it has produced many examples of how quantum algorithms differ from classical ones. Here we investigate in detail the role that oracles play for the advantage of quantum algorithms. We do so by using a simulation framework, Quantum Simulation Logic (QSL), to construct oracles and algorithms that solve some problems with the same success probability and number of queries as the quantum algorithms. The framework can be simulated using only classical resources at a constant overhead as compared to the quantum resources used in quantum computation. Our results clarify the assumptions made and the conditions needed when using quantum oracles. Using the same assumptions on oracles within the simulation framework we show that for some specific algorithms, such as the Deutsch-Jozsa and Simon’s algorithms, there simply is no advantage in terms of query complexity. This does not detract from the fact that quantum query complexity provides examples of how a quantum computer can be expected to behave, which in turn has proved useful for finding new quantum algorithms outside of the oracle paradigm, where the most prominent example is Shor’s algorithm for integer factorization.}, + DOI = {10.3390/e21080800} +} + +@article{Zeng_2014, + title={Abstract structure of unitary oracles for quantum algorithms}, + volume={172}, + ISSN={2075-2180}, + url={http://dx.doi.org/10.4204/EPTCS.172.19}, + DOI={10.4204/eptcs.172.19}, + journal={Electronic Proceedings in Theoretical Computer Science}, + publisher={Open Publishing Association}, + author={Zeng, William and Vicary, Jamie}, + year={2014}, + month=dec, pages={270–284} +} + +@misc{atici2004comparative, + title={Comparative Computational Strength of Quantum Oracles}, + author={Alp Atici}, + year={2004}, + eprint={quant-ph/0312107}, + archivePrefix={arXiv}, + primaryClass={quant-ph} +} + +@misc{sundarappan_2022_how, + author = {Sundarappan, Kathiresan}, + month = {04}, + title = {How to build oracles for Quantum Algorithms}, + url = {https://youtu.be/R0LYfPMElJg}, + year = {2022}, + organization = {YouTube} +} + +@misc{dai_view, + author = {Dai, Zhifei and Choudhury, Robin and Gao, Jinming and Iagaru, Andrei and V Kabanov, Alexander and Lammers, Twan and J. Price, Richard}, + title = {View of THE ROLE OF QUANTUM ALGORITHMS IN THE SOLUTION OF IMPORTANT PROBLEMS}, + url = {https://journals.company/index.php/hesr/article/view/94/52}, + organization = {journals.company} +} + + +@InCollection{sep-game-theory, + author = {Ross, Don}, + title = {{Game Theory}}, + booktitle = {The {Stanford} Encyclopedia of Philosophy}, + editor = {Edward N. Zalta and Uri Nodelman}, + howpublished = {\url{https://plato.stanford.edu/archives/spr2024/entries/game-theory/}}, + year = {2024}, + edition = {{S}pring 2024}, + publisher = {Metaphysics Research Lab, Stanford University} +} + +@article{Giovannetti_2008, + title={Quantum Random Access Memory}, + volume={100}, + ISSN={1079-7114}, + url={http://dx.doi.org/10.1103/PhysRevLett.100.160501}, + DOI={10.1103/physrevlett.100.160501}, + number={16}, + journal={Physical Review Letters}, + publisher={American Physical Society (APS)}, + author={Giovannetti, Vittorio and Lloyd, Seth and Maccone, Lorenzo}, + year={2008}, + month=apr +} + +@misc{jaques2023qram, + title={QRAM: A Survey and Critique}, + author={Samuel Jaques and Arthur G. Rattew}, + year={2023}, + eprint={2305.10310}, + archivePrefix={arXiv}, + primaryClass={quant-ph} +} + +@software{PythonEWL2022, + author = {Tomasz Zawadzki and Piotr Kotara}, + title = {A Python tool for symbolic analysis of quantum games in EWL protocol with IBM Q integration}, + howpublished = {\url{https://github.com/tomekzaw/ewl}}, +} + +@misc{frackiewicz2011application, + title={Application of the EWL protocol to decision problems with imperfect recall}, + author={Piotr Frackiewicz}, + year={2011}, + eprint={1012.0806}, + archivePrefix={arXiv}, + primaryClass={cs.GT} +} + +@article{Eisert_1999, + title={Quantum Games and Quantum Strategies}, + volume={83}, + ISSN={1079-7114}, + url={http://dx.doi.org/10.1103/PhysRevLett.83.3077}, + DOI={10.1103/physrevlett.83.3077}, + number={15}, + journal={Physical Review Letters}, + publisher={American Physical Society (APS)}, + author={Eisert, Jens and Wilkens, Martin and Lewenstein, Maciej}, + year={1999}, + month=oct, pages={3077–3080} +} + +@misc{usman_2019_kilometres, + author = {Usman, Muhammad}, + month = {09}, + title = {Kilometres to Miles Conversion — Approximation of Fibonacci Series}, + url = {https://engrmuhammadusman108.medium.com/kilometres-to-miles-conversion-approximation-of-fibonacci-series-d824add3d89c}, + year = {2019}, + organization = {Medium} +} + +@misc{ldiaandr_2021_tower, + author = {Lídia André}, + month = {03}, + title = {Tower of Hanoi – Lídia André}, + url = {https://www.lancaster.ac.uk/stor-i-student-sites/lidia-andre/2021/03/30/tower-hanoi/}, + year = {2021}, + organization = {Lancaster} +} + +@misc{diptokarmakar47_2019_how, + author = {diptokarmakar47}, + month = {01}, + title = {How to Solve the Tower of Hanoi Problem - An Illustrated Algorithm Guide}, + url = {https://www.freecodecamp.org/news/analyzing-the-algorithm-to-solve-the-tower-of-hanoi-problem-686685f032e3/}, + year = {2019}, + organization = {freeCodeCamp.org} +} + +@misc{a2020_towers, + month = {05}, + title = {Towers of Hanoi: A Complete Recursive Visualization}, + url = {https://www.youtube.com/watch?v=rf6uf3jNjbo}, + year = {2020}, + organization = {www.youtube.com} +} + +@misc{geeksforgeeks_2014_program, + author = {GeeksforGeeks}, + month = {05}, + title = {Program for Tower of Hanoi}, + url = {https://www.geeksforgeeks.org/c-program-for-tower-of-hanoi/}, + year = {2014}, + organization = {GeeksforGeeks} +} + +@article{khan_2021_quantum, + author = {Khan, Faisal Shah and Bao, Ning}, + month = {11}, + title = {Quantum Prisoner’s Dilemma and High Frequency Trading on the Quantum Cloud}, + doi = {10.3389/frai.2021.769392}, + urldate = {2022-05-28}, + volume = {4}, + year = {2021}, + journal = {Frontiers in Artificial Intelligence} +} + +@article{legn_2022_dilemma, + author = {Legón, Alexis R. and Medina, Ernesto}, + month = {08}, + title = {Dilemma breaking in quantum games by joint probabilities approach}, + doi = {10.1038/s41598-022-17072-8}, + volume = {12}, + year = {2022}, + journal = {Scientific Reports} +} + +@misc{siegelwax_2022_quantum, + author = {Siegelwax, Brian}, + month = {01}, + title = {Quantum Memory: QRAM. What Is It And Why Do We Need It? Making Quantum Algorithms Thrive.}, + url = {https://quantumzeitgeist.com/quantum-memory-qram-what-is-it-and-why-do-we-need-it/}, + year = {2022}, + organization = {quantumzeitgeist.com} +} + +@misc{landi_density, + author = {Landi, Gabriel}, + title = {Density matrices and composite systems}, + url = {http://www.fmt.if.usp.br/~gtlandi/02---density-matrix-4.pdf}, +} + +@misc{bacon_2006_cse, + author = {Bacon, Dave}, + title = {CSE 599d -Quantum Computing Mixed Quantum States and Open Quantum Systems}, + url = {https://courses.cs.washington.edu/courses/cse599d/06wi/lecturenotes13.pdf}, + year = {2006} +} + +@article{vijayakrishnan_2019_role, + author = {Vijayakrishnan, V. and Balakrishnan, S.}, + month = {03}, + title = {Role of two-qubit entangling operators in the modified Eisert–Wilkens–Lewenstein approach of quantization}, + doi = {10.1007/s11128-019-2232-7}, + urldate = {2022-05-16}, + volume = {18}, + year = {2019}, + journal = {Quantum Information Processing} +} + +@misc{python_scientific, + author = {Python, Real}, + title = {Scientific Python: Using SciPy for Optimization – Real Python}, + url = {https://realpython.com/python-scipy-cluster-optimize/}, + organization = {realpython.com} +} + +@misc{scipyoptimizeminimize_scalar, + title = {scipy optimize minimize scalar SciPy $v1.12.0$ Manual}, + url = {https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.minimize_scalar.html}, + organization = {docs.scipy.org} +} + +@misc{davis_optimization, + author = {Davis, Matt}, + title = {Optimization (scipy.optimize) — SciPy v0.19.0 Reference Guide}, + url = {https://jiffyclub.github.io/scipy/tutorial/optimize.html}, + organization = {jiffyclub.github.io} +} + +@misc{scipyoptimizeminimize, + title = {scipy.optimize.minimize — SciPy v1.6.0 Reference Guide}, + url = {https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.minimize.html}, + organization = {docs.scipy.org} +} diff --git a/latex/titlesec.sty b/latex/titlesec.sty new file mode 100644 index 0000000..749a3fa --- /dev/null +++ b/latex/titlesec.sty @@ -0,0 +1,1707 @@ +% +% Copyright (C) 1998-2023 Javier Bezos http://www.texnia.com +% +% This file may be distributed and/or modified under the conditions of +% the MIT License. A version can be found at the end of this file. +% +% Repository: https://github.com/jbezos/titlesec +% +% Notes +% ~~~~~ +% +% The following tags are used: +% ttl@ : the generic tag used through the style +% ttlh@ : a shape definition +% ttlf@ : a macro containing the title format +% ttls@ : id. the title space +% ttlp@ : page key related macros +% ttll@ : level number +% +% The ttlf@ and ttls@ contains data in the form {..}{..}. +% Perhaps in future releases they should be converted +% to a prop-like list, similar to that proposed by the +% latex team. +% +% Admittedly, the current implementation seems too +% complicated, but that's necessary in order to provide +% certain compatibility with the sections as defined by the +% used class. Other packages opt for providing the sections +% as defined by standard classes ignoring the class; for +% instance sectsty which does a simple task in a simple and +% nice way. However, that was not my goal. +% +% Release +% ~~~~~~~ + +\NeedsTeXFormat{LaTeX2e} +\ProvidesPackage{titlesec}[2023/10/27 v2.16 Sectioning titles] + +% Initialization +% ~~~~~~~~~~~~~~ + +\newif\ifttl@ps +\ttl@psfalse + +% The \ttl@label switch is used when printing the label in titles. +% A numberless variant makes it to true. +% There is a \ttl@toclabel as well, which is true iff the +% title is numbered; used in toc entries (except default part +% and chapter) and marks (only in titlesec pagestyles). + +\newif\ifttl@label +\newif\ifttl@toclabel + +\newbox\ttl@box + +% A provision for the report style: + +\@ifundefined{if@mainmatter} + {\let\if@mainmatter\iftrue}{} + +\@ifundefined{if@openright} + {\let\if@openright\iftrue}{} + +% and the ams styles as well + +\@ifundefined{@chapapp} + {\let\@chapapp\chaptername}{} + +\def\ttl@trylist{\ttl@try{}} + +\def\ttl@getkeys#1#2{% + \if\expandafter @\@gobble#1@\@empty + \edef\ttl@b{\expandafter\@gobble\string#1}% + \let\ttl@a\ttl@b + \else + \ttl@keys + \ttl@getkeys{#1}{#2}% + \fi} + +% A more meaningful error for \@notdefinable + +\expandafter\AtEndOfPackage\expandafter{\expandafter + \gdef\expandafter\@notdefinable\expandafter{\@notdefinable}} + +\def\@notdefinable{% + \PackageError{titlesec}% + {Incompatible package}% + {Titlesec cannot continue defining its own macros + because\MessageBreak + \@backslashchar\reserved@a\space is already used by other package, + the class\MessageBreak + or the document.}} + +% +-----------------+ +% | C L A S S E S | +% +-----------------+ + +\def\ttl@useclass#1#2{% + \@ifstar + {\ttl@labelfalse#1{#2}[]}% + {\ttl@labeltrue\@dblarg{#1{#2}}}} + +\def\ttl@straightclass{\ttl@useclass\ttl@straight@i} +\def\ttl@partclass{\ttl@useclass\ttl@part@i} +\def\ttl@topclass{\ttl@useclass\ttl@top@i} +\def\ttl@pageclass{\ttl@useclass\ttl@page@i} + +% Here \scantokens is used to make sure the unescaped name +% has `letters' and no `others'. Mainly for hyperref, so there +% should be no problems. + +\newcommand\titleclass[1]{% + \edef\ttl@a{\expandafter\@gobble\string#1}% + \ifx\scantokens\@undefined\else + \scantokens\expandafter{\expandafter + \def\expandafter\ttl@a\expandafter{\ttl@a}}% + \fi + \@ifnextchar[{\@tempswatrue\ttl@class@i{#1}}% + {\@tempswafalse\ttl@class@ii{#1}}} + +\def\ttl@class@i#1[#2]{% + \@namedef{ttll@\ttl@a}{#2}% + \expandafter\providecommand\csname\ttl@a title\endcsname{}%%%% + \@ifundefined{ttl@toplevel}{}% + {\expandafter\let\csname ttlss@\ttl@a\expandafter\endcsname + \csname ttlss@\ttl@toplevel\endcsname}% + \edef\ttl@toplevel{\ttl@a}% + \ttl@class@ii{#1}} + +\def\ttl@class@ii#1#2{% + \@ifundefined{ttl@#2class}% + {\PackageError{titlesec}{Unknown sectioning class}% + {Valid names are top, page and straight}}% + {\expandafter\let\csname ttl@compat\ttl@a\endcsname\relax + \@ifundefined{\ttl@a mark}% + {\@namedef{\ttl@a mark}{\@gobble}}% + {}% + \edef#1{% + \expandafter\noexpand\csname ttl@#2class\endcsname{\ttl@a}}}% + \if@tempswa + \expandafter\@gobble + \else + \expandafter\@firstofone + \fi + {\@ifnextchar[% + {\ttl@class@iii}% + {\@ifundefined{ttll@\ttl@a}% + {\PackageError{titlesec}{Unknown sectioning level}% + {\string\titleclass\space with no optional arguments\MessageBreak + only changes the class of an *existing* level}}}}} + +\def\ttl@class@iii[#1]{% + \edef\ttl@b{\expandafter\@gobble\string#1}% + \expandafter\let\csname ttlss@\ttl@a\expandafter\endcsname + \csname ttlss@\ttl@b\endcsname + \expandafter\edef\csname ttlss@\ttl@b\endcsname{\ttl@a}% + \let\ttl@a\ttl@toplevel + \count@\csname ttll@\ttl@toplevel\endcsname + \ttl@class@iv} + +\def\ttl@class@iv{% + \@ifundefined{ttlss@\ttl@a}{}% + {\advance\count@\@ne + \edef\ttl@a{\csname ttlss@\ttl@a\endcsname}% + \expandafter\edef\csname ttll@\ttl@a\endcsname{\the\count@}% + \ttl@class@iv}} + +% Typesetting Classes: General tools +% ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +% The following command handles the *n spacing +% Some tricks are necessary to multiply a +% skip by a non integer number + +\newskip\beforetitleunit +\beforetitleunit=1ex\@plus.3ex\@minus.06ex +\newskip\aftertitleunit +\aftertitleunit=1ex\@plus.1ex + +\newdimen\ttl@plus +\newdimen\ttl@minus + +\def\ttl@assign#1{% + \@ifstar + {\ttl@assign@i{#1}}% + {\ttl@assign@d{#1}}} + +\def\ttl@assign@i#1#2\relax#3{% + \ttl@plus\z@ + \ttl@minus\z@ + \afterassignment\ttl@assign@ii + \dimen@\the#3, % <- space + #1 = #2\dimen@ + plus #2\ttl@plus + minus #2\ttl@minus} + +\def\ttl@assign@ii#1 {% <- space + \if#1,\else\afterassignment\ttl@assign@ii\fi + \csname ttl@\string#1\endcsname} + +\def\ttl@assign@d#1#2\relax#3{\setlength#1{#2}} + +% To be used with \v/vspace to make them calc-savvy + +\def\ttl@calc#1#2{% + {\setlength\@tempskipa{#2}% + #1\@tempskipa}} + +\def\ttl@calcneg#1#2{% + {\setlength\@tempskipa{#2}% + #1{-\@tempskipa}}} + +% Gets from ttls@ and passes the spacing parameters: + +\def\ttl@startargs#1#2{% Get the first arguments, with the spacing + \@ifundefined{ttlp@#2}% + {\let\ttl@key@page\@empty}% + {\ttlp@fetch{#2}}% + \begingroup + \def\ttl@b{ttls@#2}% + \edef\ttl@key@numberless{\ifttl@label//\else/*\fi}% + \def\ttl@a##1{\csname ttl@key@##1\endcsname}% Used as elt in try + \ttl@trylist + \xdef\ttl@b{\ttl@c}% + \endgroup + \ifx\ttl@b\@empty + \PackageError{titlesec}{Format/spacing not found}% + {I was unable to find the format corresponding to #2.\MessageBreak + Maybe you haven't set it with \string\titleformat\space and + \string\titlespacing} + \fi + \expandafter#1\ttl@b{#2}} + +% Used in ttl@select + +\def\ttl@savefn#1[#2]#3{% + \ifcase#1% + \footnotemark[#2]% + \gdef\ttl@fn{\footnotetext[#2]{#3}}% + \else + \footnotemark + \gdef\ttl@fn{\footnotetext{#3}}% + \fi} + +\def\ttl@nest@error{% + \PackageError{titlesec}{Nested titles}{Titles must not be nested}} + +\def\ttl@hmode@error{% + \PackageError{titlesec}{Entered in horizontal mode} + {The argument cannot contain horizontal material\MessageBreak + such as text, \string\noindent, \string\makebox, etc.}} + +% \ttl@select not only selects the right version to be +% used. It also take steps to ensure that a mark +% is not lost inside a box by saving it into \ttl@mk, +% which in turn is used by the sect and chap commands. + +% As of 2019 and due the LaTex +% kernel modifies \markboth, we consider two possibilities (2.13). + +\newif\ifttl@explicit + +\def\ttl@gmk#1{\gdef\ttl@mk{#1}} + +\def\ttl@select#1#2#3#4{% + \ttl@Hy@saveanchor + \global\let\ttl@mk\@empty % global because of rigidchapters + \global\let\ttl@fn\@empty + \begingroup + \if@inlabel\else % Keep item's \everypar + \everypar{\setbox\z@\lastbox\ttl@strut}% + \fi + \let\ttl@straight@i\ttl@nest@error + \let\ttl@top@i \ttl@nest@error + \let\ttl@part@i \ttl@nest@error + \let\ttl@page@i \ttl@nest@error + \let\ttl@newpage\newpage + \def\newpage{\ttl@savewrite\ttl@newpage}% + \expandafter\ifx\csname markboth \endcsname\relax + \def\markboth##1##2{\protect\ttl@gmk{\protect\markboth{##1}{##2}}}% + \def\markright##1{\protect\ttl@gmk{\protect\markright{##1}}}% + \else + \@namedef{markboth }##1##2{\protect\ttl@gmk{\markboth{##1}{##2}}}% + \@namedef{markright }##1{\protect\ttl@gmk{\markright{##1}}}% + \fi + \def\@mkboth##1##2{\protect\ttl@gmk{\protect\@mkboth{##1}{##2}}}% + \protected\def\footnote{\@ifnextchar[% + {\ttl@savefn\z@}{\ttl@savefn\@ne[]}}% + \edef\ttl@key@numberless{\ifttl@label//\else/*\fi}% + \def\ttl@b{ttlf@#1}% + \def\ttl@a##1{\csname ttl@key@##1\endcsname}% Used as elt in try + \ttl@trylist + \ifx\ttl@c\@empty + \PackageError{titlesec}{No format for this command}% + {If you (re)set the class of a sectioning command, you may\MessageBreak + you may need to (re)define its format with \string\titleformat}% + \fi + \ifttl@explicit + \def\ttl@passexplicit{\ttl@case{#4}}% + \ttl@c{#4}{#2}{#3}{}% ttl@c is returned by ttl@try with ttlf@... + \else + \let\ttl@passexplicit\ttl@case + \ttl@c{#2}{#3}{#4}% ttl@c is returned by ttl@try with ttlf@... + \fi + \endgroup} + +\let\ttl@savewrite\@empty + +\def\ttl@finmarks{% + \ttl@savewrite + \ttl@mk % Contains a possible mark, returned by \ttl@select + \ttl@fn} % And a footnote + +\def\ttl@try#1{% + \edef\ttl@c{#1}% #1 is a list in the form \ttl@a{key}\ttl@a{key} + \@ifundefined{\ttl@b\ttl@c}{}{% + \edef\ttl@c{\expandafter\noexpand\csname\ttl@b\ttl@c\endcsname}% + \def\ttl@a##1{\csname ttl@extra@##1\endcsname}% + #1% + \let\ttl@try\@gobble}} % locally modified to `break' testings + +% \ttl@write writes marks and toc. tocdepth is taken care of when +% the toc is typesetted and not here. Used always through +% ttl@savewrite, which is reset to \@empty to avoid duplicated +% calls. + +\def\ttl@write#1#2{% + \ttl@blinemarks + \csname#1mark\endcsname{#2}% + \def\ttl@a{\protect\numberline{\@nameuse{the#1}}}% + \@nameuse{ttl@toc#1}% eg, \ttl@tocpart modifies \ttl@a + \ttl@addcontentsline{#1}{#2}% Depends on toctitles, uses \ttl@a + \ttl@elinemarks + \global\ttl@toclabelfalse + \global\let\ttl@savewrite\@empty} + +\newif\ifttl@premark % to be used in ttlps.def +\ttl@premarkfalse + +% 2019-06-20. Added the \lastskip stuff, because a mark 'forgets' the +% last skip. + +\def\ttl@premark#1#2{% + \let\ttl@lastskip\relax + \ifvmode + \ifdim\lastskip=\z@\else + \edef\ttl@lastskip{\the\lastskip}% + \vskip-\ttl@lastskip\relax + \fi + \fi + \protected@xdef\ttl@prevmarks{\ttl@marks}% + \ttl@blinemarks + \csname#1mark\endcsname{#2}% + \ttl@elinemarks + \ifx\ttl@lastskip\relax\else + \vskip\ttl@lastskip\relax + \fi + \gdef\ttl@prevmarks{\ttl@marks}} + +% Must be preceded by a default \ttl@savewrite, which is used +% in starred variants--\@empty in top and straight classes. +% In straight class, it is preceded by the setting of +% prev marks to provide a "fixed" top mark. Otherwise, +% the default prev mark (= curr mark) is used (restored +% after ttl@labelling in straight). This is the command +% to be hacked if you want to change the behaviour of +% starred variants. + +\def\ttl@labelling#1#2{% + \let\ttl@Hy@saveanchor\@empty + \ifttl@label % 1st - if star + \def\ttl@savewrite{\ttl@write{#1}{#2}}% + \@nameuse{ttl@#1label}% eg, sets if mainmatter in chapter. + \ifttl@label % 2nd - eg, if not main matter + \ifnum\@nameuse{ttll@#1}>\c@secnumdepth\relax + \ttl@labelfalse % 3rd - if too deep + \else + \ttl@Hy@refstepcounter{#1}% + \@nameuse{ttl@#1out}% + \fi + \fi + \fi + \let\ifttl@toclabel\ifttl@label + \ifx\ttl@savewrite\@empty\else % If marks + \ifttl@ps + \ifttl@premark + \global\ttl@premarkfalse + \else % if no \pretitlemark + \ttl@premark{#1}{#2}% + \fi + \fi + \ifttl@label\else\ttl@Hy@steplink{#1}\fi + \fi} + +% Executed by ttl@labelling if the name of section is chapter: + +\def\ttl@chapterlabel{\if@mainmatter\else\ttl@labelfalse\fi} + +% Executed by ttl@labelling if chapter has a number. Note +% you can define messages for other sectioning levels (eg, +% \ttl@sectionout). + +\def\ttl@chapterout{\typeout{\chaptertitlename\space\thechapter.}} + +% Straight class +% ~~~~~~~~~~~~~ +% Default for nobottomtitles. Changed by nobottomtitles* + +\def\ttl@addstretch{\advance\@tempskipa-\pagestretch} + +% 1:name 2:level 3:indent 4:before 5:after 6:afind [7]:cap 8:title +% The second argument of ttl@sect is the level, which +% is empty if the star version is used. In this case +% neither the toc nor the marks are written. + +\def\ttl@straight@i#1[#2]#3{% + \def\@currentlabelname{#2}% for nameref + \gdef\ttl@savemark{\csname#1mark\endcsname{#3}}% + \let\ttl@savewrite\@empty + \def\ttl@savetitle{#3}% + \gdef\thetitle{\csname the#1\endcsname}% + \if@noskipsec \leavevmode \fi + \par + \ttl@labelling{#1}{#2}% + \ttl@startargs\ttl@straight@ii{#1}{#3}} + +% 1:left 2:right 3:before 4:after 5:afterindent 6:name 7:title + +\def\ttl@straight@ii#1#2#3#4#5#6#7{% + \ttl@assign\@tempskipa#3\relax\beforetitleunit + \@ifundefined{ttl@ps@#6}{}% + {\PackageWarning{titlesec}{Page style in straight class ignored}}% + \if@nobreak + \ttl@titlespace{\@tempskipa}% + \else + \@ifundefined{#6break}% + {\addpenalty{\@secpenalty}}% + {\csname#6break\endcsname}% + \addvspace{\@tempskipa}% + \ifdim\bottomtitlespace<\z@ + \else + \begingroup + \@tempskipb\pagegoal + \@tempskipa\pagegoal + \ttl@addstretch % \relax if nobottomtitle* + \advance\@tempskipa-\bottomtitlespace\relax % not a register + \pagegoal\@tempskipa + \def\@textbottom{\vskip\z@\@plus.0001fil}% + \penalty9999 + \pagegoal\@tempskipb + \endgroup + \fi + \fi + \@afterindenttrue + \ifcase#5 \@afterindentfalse\fi + \ttl@assign\@tempskipb#4\relax\aftertitleunit + \ttl@select{#6}{#1}{#2}{#7}% + \ttl@finmarks + \@ifundefined{ttlp@#6}{}{\ttlp@write{#6}}% + \if@noskipsec + \global\@nobreakfalse + \everypar{% + \if@noskipsec + \global\@noskipsecfalse + \clubpenalty\@M + \hskip-\parindent + \begingroup + \@svsechd\unskip{\hspace{\@tempskipb}}% + \endgroup + \else + \clubpenalty\@clubpenalty\everypar{}% + \fi}% + \else + \par\nobreak + \vspace{\@tempskipb}% + \@afterheading + \fi + \ignorespaces} + +% Part class +% ~~~~~~~~~~ + +\providecommand\partmark[1]{\markboth{}{}} + +\def\ttl@part@i#1[#2]#3{% + \gdef\ttl@savemark{\csname#1mark\endcsname{#3}}% + \ifx\ttl@notocparts\@undefined + \def\ttl@savewrite{\ttl@write{#1}{#3}}% Not #2! + \else + \let\ttl@savewrite\@empty + \fi + \def\ttl@savetitle{#3}% + \ttl@labelling{#1}{#2}% + \ttl@startargs\ttl@part@ii{#1}{#3}} + +\def\ttl@part@ii#1#2#3#4#5#6#7{% + \ttl@assign\@tempskipa#3\relax\beforetitleunit + \vspace*{\@tempskipa}% + \@ifundefined{ttl@ps@#6}{}% + {\PackageWarning{titlesec}{Page style in part class ignored}}% + \global\@afterindenttrue + \ifcase#5 \global\@afterindentfalse \fi + \ttl@assign\@tempskipb#4\relax\aftertitleunit + \ttl@select{#6}{#1}{#2}{#7}% + \ttl@finmarks + \@ifundefined{ttlp@#6}{}{\ttlp@write{#6}}% + \par\nobreak + \vspace{\@tempskipb}% + \@afterheading} + +% Page class +% ~~~~~~~~~~ + +\def\ttl@page@i#1[#2]#3{% + \gdef\ttl@savemark{\csname#1mark\endcsname{#3}}% + \ifx\ttl@notocparts\@undefined + \def\ttl@savewrite{\ttl@write{#1}{#3}}% Not #2! + \else + \let\ttl@savewrite\@empty + \fi + \def\ttl@savetitle{#3}% + \ttl@labelling{#1}{#2}% + \ttl@startargs\ttl@page@ii{#1}{#3}} + +\def\ttl@page@ii#1#2#3#4#5#6#7{% + \ttl@assign\@tempskipa#3\relax\beforetitleunit + \if@openright + \cleardoublepage + \else + \clearpage + \fi + \@ifundefined{ttl@ps@#6}% + {\thispagestyle{plain}}% + {\thispagestyle{\@nameuse{ttl@ps@#6}}}% + \if@twocolumn + \onecolumn + \@tempswatrue + \else + \@tempswafalse + \fi + \vspace*{\@tempskipa}% + \@afterindenttrue + \ifcase#5 \@afterindentfalse\fi + \ttl@assign\@tempskipb#4\relax\aftertitleunit + \ttl@select{#6}{#1}{#2}{#7}% + \ttl@finmarks + \@ifundefined{ttlp@#6}{}{\ttlp@write{#6}}% + \vspace{\@tempskipb}% + \newpage + \if@twoside + \if@openright + \null + \@ifundefined{ttl@ps@#6}% + {\thispagestyle{empty}}% + {\thispagestyle{\@nameuse{ttl@ps@#6}}}% + \newpage + \fi + \fi + \if@tempswa + \twocolumn + \fi + \ignorespaces} + +% Top class and some makechapterhead stuff +% ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +% +% \ttl@mkchap is the new make(s)chapterhead. + +\def\ttl@mkchap#1#2#3#4#5#6#7{% + \gdef\ttl@savemark{\csname#6mark\endcsname{#7}}% + \let\ttl@savewrite\@empty + \let\ttl@Hy@saveanchor\@empty + \@ifundefined{ttl@ps@#6}{}% + {\thispagestyle{\@nameuse{ttl@ps@#6}}}% + \let\ifttl@toclabel\ifttl@label + \ttl@mkchap@i{#1}{#2}{#3}{#4}{#5}{#6}{#7}} + +% But \ttl@mkchap@i is used by both makechapterhead and +% the top class. + +\def\ttl@mkchap@i#1#2#3#4#5#6#7{% + \ttl@assign\@tempskipa#3\relax\beforetitleunit + \vspace*{\@tempskipa}% + \global\@afterindenttrue + \ifcase#5 \global\@afterindentfalse\fi + \ttl@assign\@tempskipb#4\relax\aftertitleunit + \ttl@topmode{\@tempskipb}{% + \ttl@select{#6}{#1}{#2}{#7}}% + \ttl@finmarks % Outside the box! + \@ifundefined{ttlp@#6}{}{\ttlp@write{#6}}} + +\def\ttl@top@i#1[#2]#3{% + \gdef\ttl@savemark{\csname#1mark\endcsname{#3}}% + \let\ttl@savewrite\@empty + \def\ttl@savetitle{#3}% + \ttl@labelling{#1}{#2}% + \ttl@startargs\ttl@top@ii{#1}{#3}} + +\def\ttl@top@ii#1#2#3#4#5#6#7{% + \@ifundefined{#6break}% + {\if@openright + \cleardoublepage + \else + \clearpage + \fi}% + {\csname#6break\endcsname}% + \@ifundefined{ttl@ps@#6}% + {\thispagestyle{plain}}% + {\thispagestyle{\@nameuse{ttl@ps@#6}}}% + \global\@topnum\z@ + \@ifundefined{#6tolists}% + {\addtocontents{lof}{\protect\ttl@tocsep}% + \addtocontents{lot}{\protect\ttl@tocsep}} + {\@nameuse{#6tolists}}% + \if@twocolumn + \@topnewpage[\ttl@mkchap@i{#1}{#2}{#3}{#4}{#5}{#6}{#7}]% + \else + \ttl@mkchap@i{#1}{#2}{#3}{#4}{#5}{#6}{#7}% + \@afterheading + \fi + \ignorespaces} + +% \def\ttl@noskipsectrue{% +% \if@noskipsec +% \PackageError{titlesec}{Invalid shape for top class}% +% {The selected shape only makes sense when merged into\MessageBreak +% a paragraph. That is impossible in the top class}% +% \else + +\newcommand\chaptertitlename{\@chapapp} +\def\ttl@tocsep{\addvspace{10\p@}} + +% +-----------------+ +% | S H A P E S | +% +-----------------+ +% +% Reformatting Titles: Interface +% ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +% The surrounding space is stored in a macro +% named \ttls@
whose content is +% {left}{right}{before}{after}{afterindent}. +% But if there is the page key, the name is +% \ttls@
/ + +\newcommand\titlespacing{% + \@ifstar{\ttl@spacing@i{\z@}}{\ttl@spacing@i{\@ne}}} + +\def\ttl@spacing@i#1#2#3#4#5{% + \ttl@getkeys{#2}{titlesec}% + \@ifnextchar[{% + \ttl@spacing@ii{#1}{#3}{#4}{#5}% + }{% + \ttl@spacing@ii{#1}{#3}{#4}{#5}[\z@]}} + +\def\ttl@spacing@ii#1#2#3#4[#5]{% + \expandafter\def\csname ttls@\ttl@a\endcsname + {{#2}{#5}{#3}{#4}{#1}}} + +% The section name is built in \ttl@a. +% The format is stored in a macro named \ttlf@
, +% or \ttlf@
/ if there is the page spec, +% or \ttlf@.../* if numberless is true +% whose content is +% \ttl@{format}{label}{sep}{before}{after} + +\newtoks\ttl@toksa + +\newcommand\titleformat{% + \@ifstar{\ttl@format@s}% + {\ttl@format@i}} + +\def\ttl@format@s#1#2{% + \edef\ttl@a{\expandafter\@gobble\string#1}% + \@ifundefined{ttlf@\ttl@a}% + {\PackageError{titlesec}{Not allowed in `easy' settings} + {The sectiong command you are trying to redefine\MessageBreak + is not handled by the starred variant (eg, \string\part)}}{} + \expandafter\expandafter\expandafter + \ttl@format@si\csname ttlf@\ttl@a \endcsname + {#2}} + +\def\ttl@format@si#1#2#3#4#5#6#7{% + \@namedef{ttlf@\ttl@a}{#1{#7}{#3}{#4}{#5}{#6}}} + +\def\ttl@format@i#1{% + \@ifnextchar[{\ttl@format@ii{#1}}{\ttl@format@ii{#1}[hang]}} + +\def\ttl@format@ii#1[#2]#3#4#5#6{% + \ttl@getkeys{#1}{titlesec}% + \ttl@toksa{{#3}{#4}{#5}{#6}}% Save arguments + \@ifnextchar[{% + \ttl@format@iii{#2}% + }{% + \ttl@format@iii{#2}[]}} + +% First, we get the shape -- if not defined it loads +% the corresponding file. + +\def\ttl@format@iii#1[#2]{% + \@ifundefined{ttlh@#1}{% + \begingroup + \makeatletter + \InputIfFileExists{#1.tss}{}{% + \@ifundefined{ttlhx@#1}% + {\PackageError{titlesec}{Unknown shape}% + {Shapes are defined in files with extension tss\MessageBreak + Either you have misspelled the shape\MessageBreak + or there is no a #1.tss file}}% + {\global\expandafter + \let\csname ttlh@#1\expandafter\endcsname + \csname ttlhx@#1\endcsname}}% + \endgroup}{}% + \@temptokena{#2}% + \ifttl@explicit + \edef\ttl@b{% + \def\expandafter\noexpand\csname ttlf@\ttl@a\endcsname####1% + {\expandafter\noexpand\csname ttlh@#1\endcsname + \the\ttl@toksa{\the\@temptokena}}}% + \else + \edef\ttl@b{% + \def\expandafter\noexpand\csname ttlf@\ttl@a\endcsname + {\expandafter\noexpand\csname ttlh@#1\endcsname + \the\ttl@toksa{\the\@temptokena}}}% + \fi + \ttl@b + \csname ttl@compat\ttl@a\endcsname} + +% Styles +% ~~~~~~ +% +% \ttl@ and \ttlh@ take the following eight +% arguments: +% {format}{label}{sep}{before}{after}{left}{right}{title} +% where before and after refer to the format. +% With the option explicit, #4 contains the title and #8 is +% empty. + +\def\ttl@strut{\strut} + +\def\ttlh@display#1#2#3#4#5#6#7#8{% + \gdef\ttl@makeline##1{\ttl@calc\hspace{#6}##1\ttl@calc\hspace{#7}}% + \setlength\leftskip{#6}% + \setlength\rightskip{#7}% + \interlinepenalty\@M + \ttl@changecentercr + \ttl@defnostruts + \ttl@beginlongest + #1\ifhmode\ttl@hmode@error\fi + \ttl@glcmds + \parindent\z@ + \ifttl@label + {#2\ttl@strut\@@par}\nobreak\ttl@calc\vspace{#3}% + \fi + #4{#8}% + \kern\z@\ttl@strut\@@par + \nobreak\ttl@midlongest#5\@@par + \ttl@endlongest} + +\def\ttlh@hang#1#2#3#4#5#6#7#8{% + \gdef\ttl@makeline##1{\ttl@calc\hspace{#6}##1\ttl@calc\hspace{#7}}% + \setlength\leftskip{#6}% + \setlength\rightskip{#7}% + \interlinepenalty\@M + \ttl@changecentercr + \ttl@defnostruts + \ttl@beginlongest + #1{\ifhmode\ttl@hmode@error\fi + \ttl@glcmds + \parindent\z@ + \begingroup + \ifttl@label + \noindent + \sbox\z@{#2\ttl@strut\ttl@calc\hspace{#3}}% + \hangindent\wd\z@ + \box\z@ + \fi + #4{#8}% + \kern\z@\ttl@strut\@@par + \endgroup + \nobreak\ttl@midlongest#5\@@par}% + \ttl@endlongest} + +\def\ttlh@runin#1#2#3#4#5#6#7#8{% + \global\@noskipsectrue + \gdef\ttl@makeline##1{##1}% + \ttl@changecentercr + \ttl@defnostruts + #1{\ifhmode\ttl@hmode@error\fi + \global\sbox\ttl@box{% + \ttl@calc\hspace{#6}% + \ifttl@label{\ttl@strut#2}\ttl@calc\hspace{#3}\fi + #4{#8}#5\unskip}}% + \gdef\@svsechd{\unhbox\ttl@box}} + +% ---------- + +\gdef\ttlhx@block#1#2#3#4#5#6#7#8{% + \gdef\ttl@makeline##1{\ttl@calc\hspace{#6}##1\ttl@calc\hspace{#7}}% + \setlength\leftskip{#6}% + \setlength\rightskip{#7}% + \interlinepenalty\@M + \ttl@changecentercr + \ttl@defnostruts + \ttl@beginlongest + #1% \ifhmode\ttl@hmode@error\fi + \ttl@glcmds + \parindent\z@ + \leavevmode + \ifttl@label + {#2}% + \setlength\@tempskipa{#3}% + \ifdim\@tempskipa=\z@\else\ttl@calc\hspace{#3}\fi + \fi + #4{#8}% + \kern\z@\ttl@strut\@@par + \nobreak\ttl@midlongest#5\@@par + \ttl@endlongest} + + +\gdef\ttlhx@frame#1#2#3#4#5#6#7#8{% + \def\ttl@filleft##1{\hfill}% + \def\ttl@filright##1{\hfill}% + \gdef\ttl@makeline##1{% + \ttl@calc\hspace{#6}##1\ttl@calc\hspace{#7}}% + \interlinepenalty\@M + \ttl@changecentercr + \ttl@defnostruts + #1\ifhmode\ttl@hmode@error\fi + \parindent\z@ + \leavevmode + \@tempdima\fboxrule + \addtolength\@tempdima{#3}% + \setlength\leftskip{#6}% + \setlength\rightskip{#7}% + \lower\@tempdima\hbox{% + \everypar{}% + \setbox\z@\hbox{#2}% + \addtolength\hsize{-#6}% + \addtolength\hsize{-#7}% + \@tempdima\dp\z@ % 2002/3/22 + \advance\@tempdima.5\ht\z@ + \vbox{% + \hbox to \hsize{% + \leaders\hrule\@height\fboxrule\ttl@filleft{#3}% + \ifttl@label\lower.5\ht\z@\box\z@\fi + \leaders\hrule\@height\fboxrule\ttl@filright{#3}}% + \vskip-\lineskip + \ifttl@label\vskip-\@tempdima\fi + \hbox{% + \vrule\@width\fboxrule + \kern-\fboxrule + \vbox{% + \ttl@calc\vspace{#3}% + \leavevmode + \addtolength\leftskip {#3}\addtolength\leftskip{-#6}% + \addtolength\rightskip{#3}\addtolength\rightskip{-#7}% + \ttl@strut#4{#8}\kern\z@\ttl@strut\@@par + \ttl@calc\vspace{#3}}% + \kern-\fboxrule + \vrule\@width\fboxrule}% + \hrule\@height\fboxrule}}% + \@@par\nobreak#5\@@par} + +\gdef\ttlhx@leftmargin#1#2#3#4#5#6#7#8{% + \global\@noskipsectrue + \addtolength\@tempskipb{#6}% + \xdef\ttl@makeline##1{\hskip-\the\@tempskipb\relax##1}% + \leftskip\z@skip + \rightskip\z@skip + \ttl@changecentercr + \ttl@defnostruts + #1\ifhmode\ttl@hmode@error\fi + \parindent\z@ + \global\setbox\ttl@box\vtop{% + \setlength\hsize{#6}% + \linewidth\hsize + \everypar{}% + \color@begingroup + \ifttl@label{\ttl@strut#2\ttl@strut}\ttl@calc\hspace{#3}\fi + \ttl@strut#4{#8}\kern\z@\ttl@strut\@@par + \color@endgroup}% + \advance\@tempskipa\ht\ttl@box + \advance\@tempskipa\dp\ttl@box + \advance\@tempskipa-\pagegoal + \advance\@tempskipa\pagestretch + \@tempskipb\pagegoal + \pagegoal-\@tempskipa + \ifdim\bottomtitlespace<\z@\else + \def\@textbottom{\vskip\z@\@plus.0001fil}% + \fi + \penalty9999 + \pagegoal\@tempskipb + \dp\ttl@box=\z@ + \gdef\@svsechd##1##2{% + \llap{\box\ttl@box##2}% + \if@afterindent\hskip\parindent\fi + #5}} + +\let\ttlhx@margin\ttlhx@leftmargin + +\gdef\ttlhx@rightmargin#1#2#3#4#5#6#7#8{% + \global\@noskipsectrue + \addtolength\@tempskipb{#6}% + \xdef\ttl@makeline##1{##1\hskip-\the\@tempskipb}% + \leftskip\z@skip + \rightskip\z@skip + \ttl@changecentercr + \ttl@defnostruts + #1\ifhmode\ttl@hmode@error\fi + \parindent\z@ + \global\setbox\ttl@box\vtop{% + \setlength\hsize{#6}% + \linewidth\hsize + \everypar{}% + \color@begingroup + \ifttl@label{\ttl@strut#2\ttl@strut}\ttl@calc\hspace{#3}\fi + \ttl@strut#4{#8}\kern\z@\ttl@strut\@@par + \color@endgroup}% + \advance\@tempskipa\ht\ttl@box + \advance\@tempskipa\dp\ttl@box + \advance\@tempskipa-\pagegoal + \advance\@tempskipa\pagestretch + \@tempskipb\pagegoal + \pagegoal-\@tempskipa + \ifdim\bottomtitlespace<\z@\else + \def\@textbottom{\vskip\z@\@plus.0001fil}% + \fi + \penalty9999 + \pagegoal\@tempskipb + \dp\ttl@box=\z@ + \gdef\@svsechd##1##2{% + \rlap{\hskip\textwidth##2\box\ttl@box}% + \if@afterindent\hskip\parindent\fi}} + +\gdef\ttlhx@wrap#1#2#3#4#5#6#7#8{% + \global\@noskipsectrue + \gdef\ttl@makeline##1{##1}% + \ttl@changecentercr + \ttl@defnostruts + \begingroup + #1\ifhmode\ttl@hmode@error\fi + \titlewidth\z@ + \def\\{\@ifstar{\@ifnextchar[{\ttl@bs}{\newline}}% + {\@ifnextchar[{\ttl@bs}{\newline}}}% + \def\ttl@bs[##1]{\newline}% + \let\@centercr\\% + \advance\rightskip 1\leftskip plus 1fil + \leftskip=\z@ + \parindent\z@ + \let\iftitlemeasuring\@firstoftwo + \global\setbox\ttl@box\vtop{\setlength\hsize{#6}% + \color@begingroup + \ifttl@label{#2}\ttl@calc\hspace{#3}\fi + #4{#8}\kern\z@\ttl@strut + \@@par + \color@endgroup}% + \let\iftitlemeasuring\@secondoftwo + \ttl@boxprocess + \global\titlewidth\titlewidth + \global\titlewidthfirst\titlewidthfirst + \global\titlewidthlast\titlewidthlast + \endgroup + \edef\ttl@maxdimen{\the\titlewidth}% + #1\ifhmode\ttl@hmode@error\fi + \global\setbox\ttl@box\vtop{\setlength\hsize{\ttl@maxdimen}% + \color@begingroup + \ifttl@label{#2}\ttl@calc\hspace{#3}\fi#4{#8}\kern\z@\ttl@strut + \@@par + \color@endgroup}% + \advance\@tempskipa1.5\baselineskip + \advance\@tempskipa\ht\ttl@box + \advance\@tempskipa\dp\ttl@box + \advance\@tempskipa-\pagegoal + \advance\@tempskipa\pagestretch + \@tempskipb\pagegoal + \pagegoal-\@tempskipa + \ifdim\bottomtitlespace<\z@\else + \def\@textbottom{\vskip\z@\@plus.0001fil}% + \fi + \penalty9999 + \pagegoal\@tempskipb + \@tempdima\ht\ttl@box \advance\@tempdima\dp\ttl@box + \@tempdimb\@tempdima + \divide\@tempdima\baselineskip \count@\@tempdima + \advance\count@ + \ifdim\@tempdimb<\the\count@.5\baselineskip\@ne\else\tw@\fi + \dp\ttl@box=\z@ + \xdef\@svsechd##1##2{% + \noexpand\llap{\box\ttl@box##2}% + \setbox\z@\hbox{\hskip\ttl@maxdimen\relax##2}% + \global\hangindent\wd\z@ + \global\hangafter-\the\count@\relax}} + +\gdef\ttlhx@drop#1#2#3#4#5#6#7#8{% + \global\@noskipsectrue + \gdef\ttl@makeline##1{##1}% + \ttl@changecentercr + \ttl@defnostruts + #1\ifhmode\ttl@hmode@error\fi + \parindent\z@ + \global\setbox\ttl@box\vtop{\setlength\hsize{#6}% + \color@begingroup + \ifttl@label{#2}\ttl@calc\hspace{#3}\fi + #4{#8}\kern\z@\ttl@strut + \@@par + \color@endgroup}% + \advance\@tempskipa1.5\baselineskip + \advance\@tempskipa\ht\ttl@box + \advance\@tempskipa\dp\ttl@box + \advance\@tempskipa-\pagegoal + \advance\@tempskipa\pagestretch + \@tempskipb\pagegoal + \pagegoal-\@tempskipa + \ifdim\bottomtitlespace<\z@\else + \def\@textbottom{\vskip\z@\@plus.0001fil}% + \fi + \penalty9999 + \pagegoal\@tempskipb + \@tempdima\ht\ttl@box \advance\@tempdima\dp\ttl@box + \@tempdimb\@tempdima + \divide\@tempdima\baselineskip \count@\@tempdima + \advance\count@ + \ifdim\@tempdimb<\the\count@.5\baselineskip\@ne\else\tw@\fi + \dp\ttl@box=\z@ + \xdef\@svsechd##1##2{% + \noexpand\llap{\box\ttl@box##2}% + \setbox\z@\hbox{\noexpand\ttl@calc\noexpand\hspace{#6}\relax##2}% + \global\hangindent\wd\z@ + \global\hangafter-\the\count@\relax}} + +% +-----------------+ +% | T O O L S | +% +-----------------+ +% +% calcwidth +% ~~~~~~~~~ +% Implemented after code from soul (but much modified...) + +\newdimen\titlewidth +\newdimen\titlewidthlast +\newdimen\titlewidthfirst + +\let\ttl@glcmds\relax +\let\ttl@beginlongest\@empty +\let\ttl@midlongest\@empty +\let\ttl@endlongest\@empty +\let\iftitlemeasuring\@secondoftwo + +\def\ttl@xbeginlongest#1\ttl@endlongest{% + \titlewidth\z@ + \titlewidthlast\z@ + \let\iftitlemeasuring\@firstoftwo + \setbox\ttl@box\vbox{% + \def\ttl@glcmds{% + \def\\{\@ifstar{\@ifnextchar[{\ttl@bs}{\newline}}% + {\@ifnextchar[{\ttl@bs}{\newline}}}% + \def\ttl@bs[####1]{\newline}% + \let\@centercr\\% + \def\ttl@midlongest####1\@@par{}% Very dirty... + \advance\rightskip 1\leftskip plus 1fil + \leftskip=\z@}% + #1}% + \let\iftitlemeasuring\@secondoftwo + \ttl@boxprocess + #1} + +\def\ttl@boxprocess{% + \setbox\ttl@box=\vbox{% + \unvcopy\ttl@box + \unskip\unpenalty + \global\setbox\@ne=\lastbox}% + \ifvoid\@ne + \else + \setbox\tw@=\hbox{\hskip-\leftskip\unhbox\@ne\hskip-\rightskip}% + \titlewidthfirst\wd\tw@ + \ifdim\titlewidth<\titlewidthfirst + \titlewidth\titlewidthfirst + \fi + \ifdim\titlewidthlast=\z@ + \titlewidthlast\titlewidthfirst + \fi + \expandafter\ttl@boxprocess + \fi} + +% Rules +% ~~~~~ + +\providecommand\titleline{% + \@ifstar{\ttl@line@i{\hb@xt@\titlewidth}}% + {\ttl@line@i{}}} + +\def\ttl@line@i#1{% + \@ifnextchar[{\ttl@line{#1}}{\ttl@line{#1}[s]}} + +\def\ttl@line#1[#2]#3{% + \vskip\topskip + \hrule \@height \z@ + \nobreak + \vskip-\topskip + \begingroup + \parindent\z@ + \everypar{}% + \leftskip\z@ + \rightskip\z@ % #1 is either \hb@xt@\titlewidth or empty: + \@makebox[\hsize][#2]{\ttl@makeline{#1{#3}}}% + \par + \endgroup + \hrule height \z@ + \nobreak} + +\providecommand\titlerule{\@ifstar{\ttl@row}{\ttl@rule}} + +\let\ttl@leaders\xleaders % For titletoc compatibility + +\def\ttl@row{\@ifnextchar[{\ttl@row@i}{\ttl@row@i[\wd\z@]}} +\def\ttl@row@i[#1]#2{% + \ifvmode\expandafter\titleline\fi + {\sbox\z@{#2}% + \ttl@calcneg\hspace{#1}% + \hskip\wd\z@ + \ttl@leaders\hb@xt@#1{\hss\box\z@}% + \hfill\kern\z@}} + +\def\ttl@rule{\@ifnextchar[{\ttl@rule@i}{\ttl@rule@i[.4\p@]}} +\def\ttl@rule@i[#1]{% + \ifvmode\expandafter\titleline\fi + {\leaders\hrule height #1\hfill\kern\z@}} + +% Par shapes and space +% ~~~~~~~~~~~~~~~~~~~~ + +\providecommand\filright{% + \gdef\ttl@filleft##1{\hskip##1}% + \gdef\ttl@filright##1{\hfill}% + \let\\\@centercr + \advance\rightskip\z@ \@plus 1fil\relax} +\providecommand\filleft{% + \gdef\ttl@filleft##1{\hfill}% + \gdef\ttl@filright##1{\hskip##1}% + \let\\\@centercr + \advance\leftskip\z@ \@plus 1fil + \parfillskip\z@} +\providecommand\filcenter{\filleft\filright + \gdef\ttl@filleft##1{\hfill}} +\providecommand\fillast{% + \gdef\ttl@filleft##1{\hfill}% + \gdef\ttl@filright##1{\hfill}% + \let\\\@centercr + \filleft\advance\rightskip\z@ \@plus -1fil + \parfillskip\z@ \@plus 2fil\relax} +\newcommand\filinner{% + \if@twoside + \ifodd\count\z@\filleft\else\filright\fi + \else + \filleft + \fi} +\newcommand\filouter{% + \if@twoside + \ifodd\count\z@\filright\else\filleft\fi + \else + \filright + \fi} + +\newcommand\wordsep{\fontdimen\tw@\font \@plus + \fontdimen\thr@@\font \@minus \fontdimen4\font} + +% Struts. +% ~~~~~~ +% A way to remove the struts added by styles. May be redefined below +% with option nostruts. + +\def\ttl@defnostruts{\def\nostruts{\let\ttl@strut\@empty}} + +% +-----------------+ +% | O P T I O N S | +% +-----------------+ + +\DeclareOption{pagestyles}{\let\sectiontitle\@empty} +\DeclareOption{extramarks}{\let\ttl@fetchmark\@empty} +\DeclareOption{floatps}{% + \ifx\sectiontitle\@empty + \let\ttl@replace\space + \else + \PackageWarning{titlesec}{Ignoring `floatps' without + `pagestyles'. This option is now deprecated.}% + \fi} +\DeclareOption{psfloats}{% + \ifx\sectiontitle\@empty + \let\ttl@replace\@empty + \else + \PackageWarning{titlesec}{Ignoring `psfloats' without + `pagestyles'}% + \fi} + +\DeclareOption{loadonly}{\let\ttl@extract\@empty} + +\DeclareOption{outermarks}{% + \def\ttl@titlemarks{\outertitlemarks}} +\DeclareOption{topmarks}{ + \def\ttl@titlemarks{\toptitlemarks}} +\DeclareOption{botmarks}{% + \def\ttl@titlemarks{\bottitlemarks}} +\DeclareOption{innermarks}{% + \def\ttl@titlemarks{\innertitlemarks}} + +\DeclareOption{footmarks}{} % Backward compat + +\DeclareOption{explicit}{\ttl@explicittrue} + +\DeclareOption{clearempty}{% + \def\cleardoublepage{% + \clearpage{\ps@empty\if@twoside\ifodd\c@page\else + \hbox{}\newpage\if@twocolumn\hbox{}\newpage\fi\fi\fi}}} + +\DeclareOption{rigidchapters}{% + \def\ttl@topmode#1#2{\vbox to #1{#2\vfil}}% + \def\ttl@chapafter{.26\textheight}} +\DeclareOption{rubberchapters}{% + \def\ttl@topmode#1#2{{#2}\ttl@calc\vspace{#1}}% + \def\ttl@chapafter{40\p@}} + +\DeclareOption{bottomtitles}{% + \def\bottomtitlespace{-1\p@}} +\DeclareOption{nobottomtitles}{% + \def\bottomtitlespace{.2\textheight}} +\DeclareOption{nobottomtitles*}{% + \let\ttl@addstretch\relax + \def\bottomtitlespace{.2\textheight}} + +\DeclareOption{calcwidth}{% + \let\ttl@beginlongest\ttl@xbeginlongest} + +\DeclareOption{aftersep}{% + \let\ttl@titlespace\@gobble} +\DeclareOption{largestsep}{% + \let\ttl@titlespace\addvspace} + +\DeclareOption{oldparttoc}{% + \def\ttl@tocpart{\def\ttl@a{\thepart\hspace{1em}}}} +\DeclareOption{newparttoc}{% + \let\ttl@tocpart\relax} +\DeclareOption{notocpart*}{% + \let\ttl@notocparts\@empty} + +\DeclareOption{rm}{% + \protected@xdef\ttl@fonts{\ttl@fonts\protect\rmfamily}} +\DeclareOption{sf}{% + \protected@xdef\ttl@fonts{\ttl@fonts\protect\sffamily}} +\DeclareOption{tt}{% + \protected@xdef\ttl@fonts{\ttl@fonts\protect\ttfamily}} +\DeclareOption{md}{% + \protected@xdef\ttl@fonts{\ttl@fonts\protect\mdseries}} +\DeclareOption{bf}{% + \protected@xdef\ttl@fonts{\ttl@fonts\protect\bfseries}} +\DeclareOption{up}{% + \protected@xdef\ttl@fonts{\ttl@fonts\protect\upshape}} +\DeclareOption{it}{% + \protected@xdef\ttl@fonts{\ttl@fonts\protect\itshape}} +\DeclareOption{sl}{% + \protected@xdef\ttl@fonts{\ttl@fonts\protect\slshape}} +\DeclareOption{sc}{% + \protected@xdef\ttl@fonts{\ttl@fonts\protect\scshape}} + +\DeclareOption{big}{% + \gdef\ttl@sizes#1{\ifcase#1\relax\Huge\or\Large\or\large + \or\normalsize\or\or\or\huge\fi}} +\DeclareOption{medium}{% + \gdef\ttl@sizes#1{\ifcase#1\relax\huge\or\Large\or\large + \or\normalsize\or\or\or\LARGE\fi}} +\DeclareOption{small}{% + \gdef\ttl@sizes#1{\ifcase#1\relax\LARGE\or\large + \or\normalsize\or\normalsize\or\or\or\Large\fi}} +\DeclareOption{tiny}{% + \gdef\ttl@sizes#1{\ifcase#1\relax\large\or\normalsize\or + \normalsize\or\normalsize\or\or\or\normalsize\fi}} + +\DeclareOption{raggedleft}{% + \gdef\ttl@fil{\filleft}} +\DeclareOption{center}{% + \gdef\ttl@fil{\filcenter}} +\DeclareOption{raggedright}{% + \gdef\ttl@fil{\filright}} + +\DeclareOption{uppercase}{% + \gdef\ttl@case{\MakeUppercase}} + +\DeclareOption{compact}{% + \gdef\ttl@space{1}% + \gdef\ttl@chapafter{30\p@}} + +% Deprecated. To be remmoved in a major upgrade (3.0) +\DeclareOption{indentfirst}{% + \gdef\@afterindentfalse{\let\if@afterindent\iftrue}% + \@afterindenttrue + \def\titlespacing{% + \@ifstar{\ttl@spacing@i{\@ne}}{\ttl@spacing@i{\@ne}}}} +\DeclareOption{nonindentfirst}{% + \def\titlespacing{% + \@ifstar{\ttl@spacing@i{\z@}}{\ttl@spacing@i{\z@}}}} + +% New names +\DeclareOption{indentafter}{% + \gdef\@afterindentfalse{\let\if@afterindent\iftrue}% + \@afterindenttrue + \def\titlespacing{% + \@ifstar{\ttl@spacing@i{\@ne}}{\ttl@spacing@i{\@ne}}}} +\DeclareOption{noindentafter}{% + \def\titlespacing{% + \@ifstar{\ttl@spacing@i{\z@}}{\ttl@spacing@i{\z@}}}} + +% newlinetospace +\let\ttl@blinemarks\relax +\let\ttl@elinemarks\relax + +\DeclareRobustCommand\ttl@linetosp{% + \@ifstar{\ttl@linetosp@i}{\ttl@linetosp@i}}% + +\def\ttl@linetosp@i{% + \ifdim\lastskip>\z@\else\space\fi + \ignorespaces} + +\DeclareOption{newlinetospace}{% + \def\ttl@blinemarks{% + \let\ttl@e\\% + \def\\{\ttl@linetosp}}% + \def\ttl@elinemarks{\let\\\ttl@e}}% + +% toctitles +\def\ttl@addcontentsline#1#2{% + \addcontentsline{toc}{#1}{\ifttl@toclabel\ttl@a\fi#2}% + \nobreak} + +\DeclareOption{toctitles}{% + \def\ttl@addcontentsline#1#2{% + \addcontentsline{toc}{#1}{\ifttl@toclabel\ttl@a\fi\ttl@savetitle}% + \nobreak}} + +% pageatnewline + +\def\ttl@changecentercr{% + \let\ttl@centercr\@centercr + \def\@centercr{\@ifstar{\ttl@centercr*}{\ttl@centercr*}}} + +\DeclareOption{pageatnewline}{\let\ttl@changecentercr\relax} + +\def\ttl@fonts{} + +% nostruts + +\DeclareOption{nostruts}{% + \let\ttl@strut\@empty + \def\ttl@defnostruts{% + \let\ttl@strut\@empty + \def\nostruts{\let\ttl@strut\@empty}}} + +\ExecuteOptions{rubberchapters,bottomtitles,aftersep,oldparttoc,% + innermarks} + +\ProcessOptions + +% +-----------------+ +% | H Y P E R R E F | +% +-----------------+ +% +% These two commands are provided by hyperref. But if they +% are not defined at \begin{document} hyperref has not been +% loaded or it is an old version. + +\AtBeginDocument{% + \ifx\ttl@Hy@steplink\@undefined + \let\ttl@Hy@steplink\@gobble + \let\ttl@Hy@refstepcounter\refstepcounter + \fi} + +% +-----------------+ +% | PAGE STYLES | +% +-----------------+ +% +% This is generic: + +\newcommand\assignpagestyle[2]{% + \@namedef{ttl@ps@\expandafter\@gobble\string#1}{#2}} + +% Old pagestyles +% ~~~~~~~~~~~~~~ + +\providecommand\newpagestyle{% + \let\ttl@compatps\@empty % marks the ``old interface'' + \let\ttl@coreps\@empty + \makeatletter + \edef\ttl@d{% + \noexpand\input{titleps.sty}% + \catcode`\noexpand\@=\the\catcode`\@}% + \ttl@d + \newpagestyle} + +\providecommand\renewpagestyle{% + \let\ttl@compatps\@empty % marks the ``old interface'' + \let\ttl@coreps\@empty + \makeatletter + \edef\ttl@d{% + \noexpand\input{titleps.sty}% + \catcode`\noexpand\@=\the\catcode`\@}% + \ttl@d + \renewpagestyle} + +\providecommand\widenhead{% + \let\ttl@compatps\@empty % marks the ``old interface'' + \let\ttl@coreps\@empty + \makeatletter + \edef\ttl@d{% + \noexpand\input{titleps.sty}% + \catcode`\noexpand\@=\the\catcode`\@}% + \ttl@d + \widenhead} + +% New pagestyles +% ~~~~~~~~~~~~~~ + +\@ifundefined{sectiontitle}{}{% + \let\ttl@coreps\@empty + \input{titleps.sty}} + +% +-----------------+ +% | K E Y S | +% +-----------------+ + +\def\ttl@keys{% + \let\ttl@keys\relax + \@ifundefined{define@key}{\RequirePackage{keyval}}{}% + \def\ttl@getkeys##1##2{% + \let\ttl@a\@empty + \if\expandafter @\@gobble##1@\@empty % if there is a single token + \edef\ttl@b{\expandafter\@gobble\string##1}% + \let\ttl@a\ttl@b + \else + \ttl@labelfalse % A temporary flag: true if there is page key + \setkeys{##2}{##1}% + \ifttl@label + \@ifundefined{ttlp@\ttl@b}{% + \expandafter\let\csname ttlp@\ttl@b\endcsname\@empty}{}% + \fi + \edef\ttl@a{\ttl@b\ttl@a}% + \fi}% + % + \define@key{titlesec}{name}{% + \edef\ttl@b{\expandafter\@gobble\string##1}}% + \define@key{titlesec}{numberless}[true]{% + \csname @tempswa##1\endcsname + \if@tempswa + \edef\ttl@a{\ttl@a/*}% + \fi}% + \define@key{titlesec}{page}{% + \ttl@labeltrue % Used as flag + \edef\ttl@a{/##1\ttl@a}}% + % + \def\ttl@extra@numberless{\ttl@labeltrue}% The actual meaning + \let\ttl@key@numberless\@empty + %\let\ttl@key@matter\@empty + \let\ttlp@append\@gobbletwo + \def\ttl@setkeys##1{% + \def\ttl@trylist{\ttl@try{}}% + \@for\ttl@b:=##1\do{% + \begingroup + \let\ttl@a\relax + \def\ttl@try####1{% + \noexpand\ttl@try{####1\ttl@a{\ttl@b}}% + \noexpand\ttl@try{####1}}% + \xdef\ttl@trylist{\ttl@trylist}% + \endgroup}}% + \ttl@setkeys{page,numberless}% matter + % + \if@twoside + \newcounter{ttlp@side}% + \newcount\ttlp@side + \def\ttlp@theside{\ifodd\c@page o\else e\fi}% + \def\ttlp@append##1##2{% + {\let\@elt\relax + \expandafter\xdef\csname ttlp@##1\endcsname{% + \csname ttlp@##1\endcsname\@elt ##2}}}% + \def\ttlp@write##1{% + {\let\ttlp@theside\relax + \protected@write\@auxout{}% + {\string\ttlp@append{##1}{\ttlp@theside}}}}% + \def\ttlp@fetch##1{% + \stepcounter{ttlp@side}% + \global\advance\ttlp@side\@ne + \@whilenum\ttlp@side<\c@ttlp@side\do{% + \expandafter\@next\expandafter\@tempa\csname ttlp@##1\endcsname{}{}% + \global\advance\ttlp@side\@ne}% + \expandafter\@next\expandafter\ttl@b\csname ttlp@##1\endcsname{% + \xdef\ttl@key@page{/\if\ttl@b oodd\else even\fi}% + }{% + \xdef\ttl@key@page{/\ifodd\c@page odd\else even\fi}% + \@@warning{Unsynchronized `##1' title on page \thepage}}}% + \else + \let\ttlp@write\@gobble + \def\ttlp@fetch##1{\gdef\ttl@key@page{/odd}}% + \fi} + +% +-----------------+ +% | C O M P A T | +% +-----------------+ +% Easy setup, i.e., that of package options, is +% taken care of, if necessary. + +\renewcommand\secdef[2]{% + \@ifstar + {\ttl@labelfalse + #2} + {\ttl@labeltrue + \ifx#1\@chapter + \if@mainmatter\else\ttl@labelfalse\fi + \ifnum\ttll@chapter>\c@secnumdepth\ttl@labelfalse\fi + \else\ifx#1\@part + \ifnum\ttll@part>\c@secnumdepth\ttl@labelfalse\fi + \fi\fi + \let\ifttl@toclabel\ifttl@label + \@dblarg{#1}}} + +\@ifundefined{ttl@extract}{}{\endinput} + +\newcommand\titlelabel[1]{% + \def\@seccntformat##1{#1}} + +\@ifundefined{chapter}% + {\def\ttl@compatpart{\titleclass{\part}{part}\relax}}% + {\def\ttl@compatchapter{% + \def\@makechapterhead{% + \ttl@labeltrue + \if@mainmatter\else\ttl@labelfalse\fi + \ifnum\ttll@chapter>\c@secnumdepth\ttl@labelfalse\fi + \ttl@startargs\ttl@mkchap{chapter}}% + \def\@makeschapterhead{% + \ttl@labelfalse + \if@mainmatter\else\ttl@labelfalse\fi + \ifnum\ttll@chapter>\c@secnumdepth\ttl@labelfalse\fi + \ttl@startargs\ttl@mkchap{chapter}}}% + \def\ttl@compatpart{\titleclass{\part}{page}\relax}} + +\def\ttl@@extract#1\@startsection#2#3#4#5#6#7#8{% + \@tempskipa=#5 + \@tempskipb=#6 + \ifdim\@tempskipa<\z@ + \toks@{\titlespacing*#8{#4}}% + \@tempskipa-\@tempskipa + \else + \toks@{\titlespacing#8{#4}}% + \fi + \@ifundefined{ttl@space}{}{% + \ttl@assign\@tempskipa*\ttl@space\relax\beforetitleunit}% + \ifdim\@tempskipb<\z@ + \if@tempswa + \titleformat#8[runin]% + {\ttl@fonts\ttl@sizes{#3}}{\@seccntformat{#2}}% + {\z@}\ttl@passexplicit + \else + \titleformat#8[runin]% + {#7}{\@seccntformat{#2}}% + {\z@}\ttl@passexplicit + \fi + \@tempskipb-\@tempskipb + \else + \if@tempswa + \titleformat#8% + {\ttl@fil\ttl@fonts\ttl@sizes{#3}}{\@seccntformat{#2}}% + {\z@}\ttl@passexplicit + \else + \titleformat#8% + {#7}{\@seccntformat{#2}}% + {\z@}\ttl@passexplicit + \fi + \@ifundefined{ttl@space}{}{% + \ttl@assign\@tempskipb*\ttl@space\relax\aftertitleunit}% + \fi + \edef\ttl@a{\the\toks@{\the\@tempskipa}{\the\@tempskipb}} + \ttl@a} + +\def\ttl@extract#1{% + \ifx#1\@undefined + \let#1\relax % Avoid error if undefined + \fi + \expandafter\in@\expandafter\@startsection\expandafter{#1}% + \ifin@ + \expandafter\ttl@@extract#1#1% + \else + \PackageWarningNoLine{titlesec}% + {Non standard sectioning command \string#1\MessageBreak + detected. Using default spacing and no format}% + \titlespacing*#1{\z@}{*3}{*2}% + \fi} + +\@tempswafalse + +\ifx\ttl@fonts\@empty + \def\ttl@fonts{\bfseries} +\else + \@tempswatrue +\fi + +\expandafter\ifx\csname ttl@sizes\endcsname\relax + \gdef\ttl@sizes#1{\ifcase#1\relax\Huge\or\Large\or\large + \or\normalsize\or\or\or\huge\fi} +\else + \@tempswatrue +\fi + +\expandafter\ifx\csname ttl@fil\endcsname\relax + \let\ttl@fil\@empty +\else + \@tempswatrue +\fi + +\expandafter\ifx\csname ttl@case\endcsname\relax + \let\ttl@case\@firstofone +\else + \@tempswatrue +\fi + +\if@tempswa + + \@ifundefined{chapter}{}% + {\titleformat\chapter[display]% + {\@ifundefined{ttl@fil}{\raggedright}{\ttl@fil}\ttl@fonts\ttl@sizes6}% + {\@chapapp\space\thechapter}% + {.8\baselineskip}% + {\ttl@sizes\z@\ttl@passexplicit}} + +\fi + +\ttl@extract\section +\ttl@extract\subsection +\ttl@extract\subsubsection +\ttl@extract\paragraph +\ttl@extract\subparagraph + +\let\ttl@extract\@undefined +\let\ttl@@extract\@undefined + +\def\ttl@toplevel{part} + +\@ifundefined{chapter}% + {\@namedef{ttll@part}{0}% + \titleclass{\section}{straight}[\part]% + \titlespacing*{\part}% + {\z@}% + {4ex}% + {3ex}}% + {\let\ttl@save@mkchap\@makechapterhead + \let\ttl@save@mkschap\@makeschapterhead + % + \def\@makechapterhead#1{% + \gdef\ttl@savemark{\chaptermark{#1}}% + \ttl@save@mkchap{#1}% + \@ifundefined{ttl@ps@chapter}{}% + {\thispagestyle{\@nameuse{ttl@ps@chapter}}}}% + % + \def\@makeschapterhead#1{% + \gdef\ttl@savemark{\chaptermark{#1}}% + \ttl@save@mkschap{#1}% + \@ifundefined{ttl@ps@chapter}{}% + {\thispagestyle{\@nameuse{ttl@ps@chapter}}}}% + % + \@namedef{ttll@part}{-1}% + \@namedef{ttlss@part}{chapter}% + \@namedef{ttll@chapter}{0}% + \titleclass{\section}{straight}[\chapter]% +% The following is unoperant, unless when \chapter / \part +% format is redefined + \titlespacing*{\part}% + {\z@}% + {\z@\@plus1fil}% + {\z@\@plus1fil}% + \titlespacing*\chapter + {\z@}% + {50\p@}% + {\ttl@chapafter}} + +\titleclass{\subsection} {straight}[\section] +\titleclass{\subsubsection}{straight}[\subsection] +\titleclass{\paragraph} {straight}[\subsubsection] +\titleclass{\subparagraph} {straight}[\paragraph] + +\endinput + +MIT License +----------- + +Permission is hereby granted, free of charge, to any person obtaining a +copy of this software and associated documentation files (the +"Software"), to deal in the Software without restriction, including +without limitation the rights to use, copy, modify, merge, publish, +distribute, sublicense, and/or sell copies of the Software, and to +permit persons to whom the Software is furnished to do so, subject to +the following conditions: + +The above copyright notice and this permission notice shall be included +in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS +OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. +IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY +CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, +TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE +SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +