numeric-linalg

diff --git a/getrf/benchmark/Makefile b/getrf/benchmark/Makefile
@@ -0,0 +1,12 @@
+LD_FLAGS=-L../../lapack -L/usr/lib -llapack -lrefblas -ltmglib -lgfortran -lm
+C_FLAGS=-Wall -Wextra $(LD_FLAGS)
+
+all: target/runtime target/cache-ratio
+
+debug: target/runtime-debug target/cache-ratio-debug
+
+./target/%: src/%.c src/config.h src/progress-bar.h src/perf.h
+	cc $(firstword $^) -o $@ $(C_FLAGS) -O3
+
+./target/%-debug: src/%.c src/config.h src/progress-bar.h src/perf.h
+	cc $(firstword $^) -o $@ $(C_FLAGS) -fsanitize=address -g

diff --git a/getrf/benchmark/benchmark.ipynb b/getrf/benchmark/benchmark.ipynb
@@ -10,13 +10,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 3,
    "id": "30318f00-d2d5-444f-9e8a-abd78af4b74f",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -41,12 +41,13 @@
     "x = np.arange(1, MAX_N, STEP)\n",
     "x_ref = np.arange(np.log(x[0]), np.log(x[-1]))\n",
     "\n",
-    "histogram_dgetrf = np.fromfile(\"output/histogram-dgetrf.bin\", dtype=np.uint32)\n",
+    "histogram_dgetrf = np.fromfile(\"output/runtime-dgetrf.bin\", dtype=np.uint32)\n",
     "plt.plot(np.log(x), np.log(histogram_dgetrf + EPS), color=BLUE)\n",
+    "plt.scatter(np.log(x), np.log(histogram_dgetrf + EPS), color=BLUE, s=7)\n",
     "plt.plot(x_ref, 3 * x_ref, color=YELLOW)\n",
     "\n",
     "plt.xticks(np.arange(0, 9, 2))\n",
-    "plt.yticks(np.arange(-10, 30, 2))\n",
+    "plt.yticks(np.arange(-18, 34, 2))\n",
     "plt.xlabel('n')\n",
     "plt.ylabel('log(ms)')\n",
     "plt.grid(which='both', color='gray', linestyle='--', linewidth=0.5)"
@@ -62,23 +63,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 20,
    "id": "2e55827d-1fa1-4c5a-a8f0-2a48f532ff56",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "<matplotlib.legend.Legend at 0x7f2c40dbe660>"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
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IunXrRnh4OAcOHADgoYce4sqVK1y+fBkPDw9mzJjB+vXrqa2tpXPnznTq1Ik9e/YA8OCDD5KXl8eFCxfQaDQ8/vjjbN68maqqKtq3b0/Pnj1t2yGGDRtGUVERaWnWpZVZs2axfft2ysvLMRgM9O3blx07dgAwePBgKisrSU62Lg015z3Cw8PD9sfj7e4Rx48ft/lW94im3SO8vLxISkoCbn+POHnypO0P+VvdI8K7d+Ff3tZxNODMNfK98lvEPWJ8hTc73eC9vNP8JjCKvTt3S79H+Pj4cPToUeD294jTp0/bfDf2HlFZWUmTuOO5MzsRExMjJk2aZPvvgwcPCkDk5OTUa/f000+LcePGCSGEWLVqlfD09GzQ19ixY8Wzzz4rhBDijTfeEN27d2/Q5p577hHLli0TQggxf/58ERMT06CNh4eHWLNmjRBCiOjoaPHMM8/Uez0rK0sAIjEx8aafq7q6WhiNRttPZmam3ZYOV69e3ex9Km6O8i0X5VsuyrdcGut72dVTgpQPRO+vN9zRthV7Y7KYRbtzqwUpH4hPjZccHc5tacr4btVLh+np6ezatYunn37a9rvw8HDg25mt6xQUFNhmksLDwzGZTBQXF9+yTX5+foNrXr16tV6b71+nuLiY2traW7YpKCgAGs66fRedTkdAQEC9H3vRpYu8qsAK5Vs2yrdclG+5NMa39bgd6yydzON2GoOHRstT31SKf7/oKwdHc3tkju8WkWh9+OGHhIaGMnHiRNvvOnfuTHh4uG3qHaz7uPbt28ewYcMA6xSkh4dHvTa5ubkkJyfb2lyfQr4+nQhw5MgRjEZjvTbJycnk5uba2sTHx6PT6RgwYICtzf79++uVfIiPj8dgMDRYUnQUHTp0cHQILoXyLRflWy7Kt1wa43t16UVy6yqJcPfhcYnH7TSW+YE90KLhy8pcztcYHR3OLZE5vh2eaFksFj788EN+9KMf4e7+7ZYxjUbD4sWLWbp0KZs2bSI5OZl58+bh4+PDnDlzANDr9Tz11FO8+OKL7N69m5MnT/Lkk0/Su3dvxo4dC8C9997L+PHjmT9/PocPH+bw4cPMnz+fSZMm0aOHtZJuTEwMvXr1Yu7cuZw8eZLdu3fz0ksvMX/+fNsM1Jw5c9DpdMybN4/k5GQ2bdrE0qVLWbJkSYv5q+L6OrxCDsq3XJRvuSjfcrmdb/Gd43ZeCLoPT42bhKjujA4efkzwiwTgny281IPM8e3wRGvXrl1kZGTwk5/8pMFrL7/8MosXL2bBggUMHDiQ7Oxs4uPj8ff3t7V55513mDZtGrNmzWL48OH4+Pjw+eef4+b27SBctWoVvXv3JiYmhpiYGPr06cPHH39se93NzY1t27bh5eXF8OHDmTVrFtOmTWP58uW2Nnq9np07d5KVlcXAgQNZsGABS5YsYcmSJXYyo1AoFAqFlbjyLFJrrMftPPNNNfaWyPVK8R8aL1BtqXNwNC0DjRAtqLS5C1BaWoper8doNDb7fq3s7GwiIiKatU/FzVG+5aJ8y0X5lsvtfMek72BnRQ5LgqJ4O3zITds5GrOw0PnCp2TWVfCxYRRPtrnH0SHdkKaM76Z+fzt8RkvRfGRnZzs6BJdC+ZaL8i0X5Vsut/J9vsbIzoocNMDzDjxupzG4abQ8880B1y25UrzM8a0SLSdCnU0mF+VbLsq3XJRvudzK99+LrU/xTfRrT2dP/5u2ayk81aYHbmhIqMonubrI0eHcEJc561DRvGi16p9TJsq3XJRvuSjfcrmZ7wpLLR+WXABgQeC9MkNqMu08fJjq3xGAf7TQSvEyx7faoyUZe+7RUigUCoVz8UHxOebnJtDFw58L98xE20Kecr8dO8uzicmIQ6/1JLv74/hqPRwd0l2j9mgpbEcRKOSgfMtF+ZaL8i2XG/kWQvC3YmuB0p8F3ttqkiyAMb4Gunr4Y7SYWGu87OhwGiBzfKtEy4moqalxdAguhfItF+VbLsq3XG7k+0jVVU5VF+GlcePHbbo5IKqmo9VobGUo3i9ueZXiZY5vlWg5EaqSs1yUb7ko33JRvuVyI9/XZ7MeD+hCsLuX7JDumh+36YYHWpKqCzlRVejocOrhUpXhFc1H9+7dHR2CS6F8y0X5lovyLZfv+75aV8WnpdYltwVBrWMT/Pdp6+7NYwGdAPjIeMGxwXwPmeNbJVpOxK5duxwdgkuhfMtF+ZaL8i2X7/v+T8l5TMLCIK8QBnm3dVBUd88P9daCpbHGS9QKi4Oj+RaZ41slWgqFQqFQtCDMwsLfvyn22Vpns64T7RdBWzcvrpqr2VnumkVwVaLlRAwfPtzRIbgUyrdclG+5KN9y+a7vHeVZpNeWE+SmY3ZAFwdGdfe4a7Q8obd+hk+MXzs4mm+ROb5VouVEFBa2rM2Gzo7yLRflWy7Kt1y+6/tvRdan9H7SpjveWndHhdRsPPnN8uHmsnTKzCYHR2NF5vhWiZYTce5cy6zA66wo33JRvuWifMvluu+LplLiKrIA+Ok35RFaOwO9QujuqadKmNlUlu7ocAC541slWgqFQqFQtBDe/2Zv1njfSLp6OsfpIRqNhif1XYGWtXwoC3UEj2TseQSPxWJR55NJRPmWi/ItF+VbLhaLhRosRF6Ipchcw+fto5nk7zy1zC6ZSun69Tq0aMjsNhuDh69D42nK+FZH8CjYunWro0NwKZRvuSjfclG+5bJ161bWll6iyFxDRw8/HvGLdHRIzUoXzwCGeYdiQRBbesnR4Ugd3yrRciIqKiocHYJLoXzLRfmWi/Itl4qKCt77ZhP8zwJ74qZxvq/n65viPzFedHAkcse38/1LujARERGODsGlUL7lonzLRfmWS2nHYJKqC/HUaPlJG+esyj8roDPuaDhZfY2U6mKHxiJzfKtEy4mIiopydAguhfItF+VbLsq3XPa10wDWZKStu7eDo7EPwe5eTPBrD8AqB89qyRzfKtFyIr744gtHh+BSKN9yUb7lonzL41pdNesrMgB4LrCXg6OxL0+2sS4frir9GosDn8WTOb5VoqVQKBQKhQP5sOQCtVro5xXMkFZ8rmFjmOTXngCtBxm1FSRU5jk6HCmoRMuJGDJkiKNDcCmUb7ko33JRvuVgPdfQugl+QeC9aDQaB0dkX7y17swI6Aw4dlO8zPGtEi0nory83NEhuBTKt1yUb7ko33LYUZ7FpdoyAoSb7UxAZ+d68dJPSy9TbalzSAwyx7dKtJyIlJQUR4fgUijfclG+5aJ8y+GvRVbPD17V4Kv1cHA0chjl045Id1+MFhPby7McEoPM8a0SLYVCoVAoHMBXNSXsrMhBi4aYwtZ/eHRj0Wo0zPlm9s4VjuRRR/BIxp5H8NTW1uLh4Rp/EbUElG+5KN9yUb7tz3O5h3iv+Cum+Xfk0/BRLuX7bHURfS5twlOjJbf7HILcdFKv35TxrY7gURAfH+/oEFwK5VsuyrdclG/7YjSb+G/JBQAWBvVyOd+9vYLoqwvCJCysL70s/foyfatEy4koLS11dAguhfItF+VbLsq3ffmw5DwVoo77dG14yKedS/r+9kge+cuHMn2rRMuJCAsLc3QILoXyLRflWy7Kt/2wCMHKolQAFgbdh0ajcUnfT+i7oAEOVOZzxVQm9doyfatEy4kYOHCgo0NwKZRvuSjfclG+7ceO8kwu1pbRRutpK3Xgir4jPHx52NcAwGrJNbVk+laJlhOxbds2R4fgUijfclG+5aJ824+/fjOb9VSb7raSDq7q+3qi+bHxa2Q+myfTt0q0FAqFQqGQRFpNCfEV2WiA54Kc+1zDxjDdvxNeGjfSTEZOVl9zdDh2QSVaTsSAAQMcHYJLoXzLRfmWi/JtH67vzZri34HOnv6237uq7wA3T6b6dwDkLh/K9O3wRCs7O5snn3yS4OBgfHx8uP/++zl+/LjtdSEEr776KgaDAW9vb0aPHt2gomtNTQ0LFy4kJCQEX19fpkyZQlZW/WqzxcXFzJ07F71ej16vZ+7cuZSUlNRrk5GRweTJk/H19SUkJIRFixZhMpnqtTl79iyjRo3C29ubiIgIXn/9danTnbeitrbW0SG4FMq3XJRvuSjfzY/RbOKj6yUdAu+r95or+57i3xGA/RIPmZbp26GJVnFxMcOHD8fDw4MdO3aQmprK22+/TZs2bWxt3nrrLVasWMHKlStJSkoiPDyc6Ohoysq+fUJh8eLFbNq0idjYWBISEigvL2fSpEmYzWZbmzlz5nDq1Cni4uKIi4vj1KlTzJ071/a62Wxm4sSJVFRUkJCQQGxsLBs2bODFF1+0tSktLSU6OhqDwUBSUhLvvvsuy5cvZ8WKFfYV1UjOnDnj6BBcCuVbLsq3XJTv5uejb0o69NK14WHfdvVec2XfQ71DAThZfY0qSWcfSvUtHMgvf/lLMWLEiJu+brFYRHh4uHjzzTdtv6uurhZ6vV68//77QgghSkpKhIeHh4iNjbW1yc7OFlqtVsTFxQkhhEhNTRWAOHz4sK1NYmKiAERaWpoQQojt27cLrVYrsrOzbW3WrFkjdDqdMBqNQggh3nvvPaHX60V1dbWtzbJly4TBYBAWi6VRn9loNArA1mdzsnr16mbvU3FzlG+5KN9yUb6bF7PFIrqeXytI+UD8/Vpqg9dd2bfFYhFhaasEKR+IAxW5Uq7ZFN9N/f526IzWZ599xsCBA5k5cyahoaH069ePf/3rX7bXL1++TF5eHjExMbbf6XQ6Ro0axaFDhwA4fvw4tbW19doYDAaioqJsbRITE9Hr9QwZMsTW5oEHHkCv19drExUVhcFgsLUZN24cNTU1tqXMxMRERo0ahU6nq9cmJyeHK1eu3PAz1tTUUFpaWu/HXkybNs1ufSsaonzLRfmWi/LdvFwv6aDXejK3zT0NXndl3xqNhqE+1lmtxMoCKdeU6duhp1heunSJv//97yxZsoRf//rXHD16lEWLFqHT6fjhD39IXp51vfb7hcXCwsJIT08HIC8vD09PTwIDAxu0uf7+vLw8QkNDG1w/NDS0XpvvXycwMBBPT896bTp16tTgOtdf69y5c4NrLFu2jNdee63B79etW4ePjw/Tp09n9+7dGI1GQkNDGTx4MFu3bgWgf//+WCwWTp06BcDUqVNJSEjg2rVrBAUFMXLkSDZv3gxAnz59OHv2rG2/2MSJEzl27Bj5+fkEBAQQExPD+vXrAbjvvvvw8/PjyJEjgDVZTE5OJjs7G19fXyZNmsTatWsB6NGjByEhIRw8eBCAsWPHcv78eTIyMtDpdEyfPp21a9disVjo2rUrERER7N+/H4DRo0eTkZHBpUuXcHd3Z+bMmWzYsAGTyUTHjh3p2rUrX375JQAjRoygoKCA8+fPA/DEE0+wZcsWKisriYyMpFevb4+oGDp0KEajkdRU66bSmTNnEhcXR1lZGeHh4fTv35/t27cDMGjQIKqrqzl79iwAjz76KHv37qW4uJiQkBCGDh3K559/DkC/fv0AOHnyJACTJ08mMTGRwsJCAgMDGT16NJs2bQKgd+/epKSkYLFYAJgwYQInTpwgLy8Pf39/xo8fz7p16wDo1asXer2exMREAGJiYkhNTSUrKwsfHx+mTp3KmjVrAOjevTuhoaEkJCQA8PDDD3Px4kXS09Px9PTkscceY926ddTV1dGlSxc6dOjA3r17ARg5ciTZ2dlcvHgRrVbL7Nmz2bhxIzU1NXTo0IHu3buza9cuAIYPH05hYSHnzp0DYPbs2WzdupWKigoiIiKIioriiy++AGDIkCGUl5fb9kbOmDGD+Ph4SktLCQsLY+DAgbZHpQcMGEBtba1tWn7atGns37+foqIigoODGTFiBFu2bAHg/vvvR6vVcuLECQAmTZrE0aNHKSgoQK/XM2bMGDZu3AhAVFQUqampNt+PPPIIp0+fJicnBz8/PyZMmMCnn34KQM+ePQkKCrL9ERUdHU1aWhqZmZl4e3szbdo0YmNjEULQrVs3wsPDOXDgAAAPPfQQV65c4fLly3h4eDBjxgzWr19PbW0tnTt3plOnTuzZsweABx98kLy8PC5cuIBGo+Hxxx9n8+bNVFVV0b59e3r27MnOnTsBGDZsGEVFRaSlpQEwa9Ystm/fTnl5OQaDgb59+7Jjxw4ABg8eTGVlJcnJyQDNeo/w8PCw/eF4u3tEWlqabfuFukc07R7h5eVFUlISAP8ebN34PiLPwp6vv2hwjzh37pzNtyveI7zd8sEACeW5RO609nOn9wgfHx+OHj0K3P4e8fXXX1NXZ12mbOw9orKykiZxx3NnzYiHh4cYOnRovd8tXLhQPPDAA0IIIQ4ePCgAkZOTU6/N008/LcaNGyeEEGLVqlXC09OzQd9jx44Vzz77rBBCiDfeeEN07969QZt77rlHLFu2TAghxPz580VMTMwNY1yzZo0QQojo6GjxzDPP1Hs9KytLACIxMfGGn7G6uloYjUbbT2Zmplo6dBKUb7ko33JRvpuPtOpiQcoHQpPygbhYc+N7v6v73l+eK0j5QISfW9XorTh3g8ssHbZr145everXEbn33nvJyMgAIDw8HMA2o3SdgoIC20xSeHg4JpOJ4uLiW7bJz89vcP2rV6/Wa/P96xQXF1NbW3vLNgUF1mnOm5Xz1+l0BAQE1PuxF8HBwXbrW9EQ5VsuyrdclO/mY2XRVwBM9utAF88bfwe4uu+B3iG4oyGvroqM2nK7X0+mb4cmWsOHD7dNS17n/PnzdOxofdSzc+fOhIeH26bfAUwmE/v27WPYsGGAdRrSw8OjXpvc3FySk5Ntba5PI1+fUgQ4cuQIRqOxXpvk5GRyc3NtbeLj49HpdLZ6G0OHDmX//v31Sj7Ex8djMBgaLCk6ghEjRjg6BJdC+ZaL8i0X5bt5MJpNfGT8pqTDLQqUurpvb60793tZk5/EKvvv05Lq+47nzpqRo0ePCnd3d/HGG2+ICxcuiFWrVgkfHx/xySef2Nq8+eabQq/Xi40bN4qzZ8+KJ554QrRr106Ulpba2vz0pz8VkZGRYteuXeLEiRPi4YcfFn379hV1dXW2NuPHjxd9+vQRiYmJIjExUfTu3VtMmjTJ9npdXZ2IiooSY8aMESdOnBC7du0SkZGR4vnnn7e1KSkpEWFhYeKJJ54QZ8+eFRs3bhQBAQFi+fLljf7M6qlD50H5lovyLRflu3n4c+FZQcoH4t4L62+5JKZ8C7Ew95Ag5QOxKPeQ3a8lc+nQoZvhBw0axKZNm3jllVd4/fXX6dy5M3/+85/5wQ9+YGvz8ssvU1VVxYIFCyguLmbIkCHEx8fj7/9tRd133nkHd3d3Zs2aRVVVFWPGjOGjjz7Czc3N1mbVqlUsWrTI9nTilClTWLlype11Nzc3tm3bxoIFCxg+fDje3t7MmTOH5cuX29ro9Xp27tzJc889x8CBAwkMDGTJkiUsWbLEnpoUCoVC0QoxCwsri63LhguDeqHRaBwcUctmqHco75Iq7clDWWiEaCFlzV2E0tJS9Ho9RqOx2fdrffXVV9x7773N2qfi5ijfclG+5aJ83z0flpznJzkHaKP1JLP74/h9c4D0jVC+4YqpjM5ff4o7Gkp7/hBvrf3mgpriu6nf3w4/gkfRfGi16p9TJsq3XJRvuSjfd0elpY7fFlhLafy27f23TLJA+Qbo6OFHuLs3dQiOVxfa9Voyfat/WSfieq0RhRyUb7ko33JRvu+OFdfOklNXSScPP54PvPkm+Oso398ULvWWU7hUpm+VaCkUCoVC0Yzk11Xxp2vWAqhLQwei07rd5h2K69gSLQlPHspC7dGSjD33aJWVldV7SEBhX5RvuSjfclG+m86C3IP8vTiNQV4hHO48BW0jNsEr31YSKvN48Mo2wt29yen2hN0eIGiKb7VHS1GvTpjC/ijfclG+5aJ8N420mhL+WWytD7k8bHCjkixQvq8zwOvbwqXpdixcKtO3SrSciOtV6hVyUL7lonzLRfluGr/MT8KMYIpfB0b6tmv0+5RvK7IKl8r0rRItJ0Kv1zs6BJdC+ZaL8i0X5fvO2V+Ry2flGbih4U9hg+7ovcr3twz1sf8+LZm+1R4tydhzj1ZNTQ06na5Z+1TcHOVbLsq3XJTvO8MiBA9c/oyk6kJ+FtiT99oNv6P3K9/fssZ4kTnZexnoFUJSl6l2uUZTfKs9Wgo2btzo6BBcCuVbLsq3XJTvO2Nt6SWSqgvx03rw+7b97/j9yve3XH/y8FT1NaosdXa5hkzfKtFSKBQKheIuqLGY+XXBMQB+GdybMHdvB0fUupFZuFQGKtFyIqKiohwdgkuhfMtF+ZaL8t14VhancqW2HIO7D0uCezepD+X7W2QULpXpWyVaToSPj4+jQ3AplG+5KN9yUb4bR5G5hj9ePQXAH0MH4NPE8/mU7/rYu3CpTN8q0XIiVB0WuSjfclG+5aJ8N44/Xj1JicVEb10gP9Tf0+R+lO/6fPfJQ3s8s6fqaCkUCoVC0cK5ZCplZdFXgLU4qZtGfaU2F7IKl8pAjQon4pFHHnF0CC6F8i0X5Vsuyvft+XXBMWqxEOMbQYxf5F31pXzXx1vrTj87Fi6V6VslWk7E6dOnHR2CS6F8y0X5lovyfWtOVhWytvQyGuD/wgbfdX/Kd0PsWbhUpm+VaDkROTk5jg7BpVC+5aJ8y0X5vjXvFVuXDGcHdKGPV9Bd96d8N8SeTx7K9K0SLSfCz8/P0SG4FMq3XJRvuSjfN6fUbGKN8RIAPwvs2Sx9Kt8NsWfhUpm+1RE8krHnETxmsxk3N7dm7VNxc5RvuSjfclG+b84/itP4ae5BenrqSe36GBqN5q77VL4bIoQg4kIsuXWV7O84kQd9w5ut76b4VkfwKPj0008dHYJLoXzLRfmWi/J9c/5ZnAbAM4E9myXJAuX7Rmg0Gh7wbgs0/z4tmb5VoqVQKBQKRSM5VnWVE9XX8NRo76pulqJx2LtwqQxUouVE9OzZPHsFFI1D+ZaL8i0X5fvG/LP4HAAz/DsT7O7VbP0q3zfG9uRhZfMWLpXpWyVaTkRQ0N0/+aJoPMq3XJRvuSjfDSkzm1htvAjAM4E9mrVv5fvGXC9cmm+u4kozFi6V6VslWk7EoUOHHB2CS6F8y0X5lovy3ZA1pZeoEHX08NQz0qf5NmaD8n0z7FW4VKZvlWgpFAqFQtEIri8bPhPYo9k2wStuz/Xlw8OtdJ+WSrSciOjoaEeH4FIo33JRvuWifNfneFUhx6sLv9kE363Z+1e+b449CpfK9K0SLSciLS3N0SG4FMq3XJRvuSjf9ble0uEx/06ENOMm+Oso3zfHHoVLZfpWiZYTkZmZ6egQXArlWy7Kt1yU728pM5tYXWqtBP9MM1WC/z7K983p4OFHO3cf6hAcqypslj5l+laJlhPh7e3t6BBcCuVbLsq3XJTvb4ktvUS5pZbunnpGNfMm+Oso3zdHo9E0ez0tmb7VETySsecRPAqFQqFofgZd2sKx6kKWhw3mxeDejg7HJVleeJZfFBxlmn9HNrUf65AY1BE8CmJjYx0dgkuhfMtF+ZaL8m3lRFUhx77ZBP8jO2yCv47yfWse8LEexXOk6mqz9CfTt0q0nAg1OSkX5VsuyrdclG8r/yyxlnSYbqdN8NdRvm9NP69gtGjIraskt7byrvuT6VslWk5Et272+2tL0RDlWy7Kt1yUbyi31LLKTpXgv4/yfWt8tR701OkBOF599xviZfp2aKL16quvotFo6v2Eh3+70VAIwauvvorBYMDb25vRo0eTkpJSr4+amhoWLlxISEgIvr6+TJkyhaysrHptiouLmTt3Lnq9Hr1ez9y5cykpKanXJiMjg8mTJ+Pr60tISAiLFi3CZDLVa3P27FlGjRqFt7c3ERERvP766y3qr5DvulPYH+VbLsq3XJRviDVaN8Hf4xnAaJ92dr2W8n17BnqFAM2TaMn07fAZrfvuu4/c3Fzbz9mzZ22vvfXWW6xYsYKVK1eSlJREeHg40dHRlJWV2dosXryYTZs2ERsbS0JCAuXl5UyaNAmz2WxrM2fOHE6dOkVcXBxxcXGcOnWKuXPn2l43m81MnDiRiooKEhISiI2NZcOGDbz44ou2NqWlpURHR2MwGEhKSuLdd99l+fLlrFixws6GGs+BAwccHYJLoXzLRfmWi/L9be2sZ9rYvxK88n17BnyTaDVHiQeZvt2lXelmAbi73zCzFELw5z//md/85jdMnz4dgP/+97+EhYWxevVqnn32WYxGI//+97/5+OOPGTvW+hTCJ598Qvv27dm1axfjxo3jq6++Ii4ujsOHDzNkyBAA/vWvfzF06FDOnTtHjx49iI+PJzU1lczMTAwGAwBvv/028+bN44033iAgIIBVq1ZRXV3NRx99hE6nIyoqivPnz7NixQqWLFmijmNQKBQKJ+JkVSFJ1YV4oGVeG7Ws1xIY4H19RuuagyO5Mxw+o3XhwgUMBgOdO3fm8ccf59Ila1G4y5cvk5eXR0xMjK2tTqdj1KhRtsMgjx8/Tm1tbb02BoOBqKgoW5vExET0er0tyQJ44IEH0Ov19dpERUXZkiyAcePGUVNTw/Hjx21tRo0ahU6nq9cmJyeHK1eu3PTz1dTUUFpaWu/HXjz00EN261vREOVbLsq3XFzdt20TfEBH2rrbv+aSq/tuDPd7Bdk2xOfUVtxVXzJ9O3RGa8iQIfzvf/+je/fu5Ofn88c//pFhw4aRkpJCXl4eAGFhYfXeExYWRnp6OgB5eXl4enoSGBjYoM319+fl5REaGtrg2qGhofXafP86gYGBeHp61mvTqVOnBte5/lrnzp1v+BmXLVvGa6+91uD369atw8fHh+nTp7N7926MRiOhoaEMHjyYrVu3AtC/f38sFgunTp0CYOrUqSQkJHDt2jWCgoIYOXIkmzdvBqBPnz5cunSJ8vJyACZOnMixY8fIz88nICCAmJgY1q9fD1iXa/38/Dhy5AhgTRiTk5PJzs7G19eXSZMmsXbtWgB69OhBSEgIBw8eBGDs2LGcP3+ejIwMdDod06dPZ+3atVgsFrp27UpERAT79+8HYPTo0WRkZHDp0iXc3d2ZOXMmGzZswGQy0bFjR7p27cqXX34JwIgRIygoKOD8+fMAPPHEE2zZsoXKykoiIyPp1asX8fHxAAwdOhSj0UhqaioAM2fOJC4ujrKyMsLDw+nfvz/bt28HYNCgQVRXV9uWpB999FH27t1LcXExISEhDB06lM8//xyAfv36AXDy5EkAJk+eTGJiIoWFhQQGBjJ69Gg2bdoEQO/evbl8+bLN94QJEzhx4gR5eXn4+/szfvx41q1bB0CvXr3Q6/UkJiYCEBMTQ2pqKllZWfj4+DB16lTWrFkDQPfu3QkNDSUhIQGAhx9+mIsXL5Keno6npyePPfYY69ato66uji5dutChQwf27t0LwMiRI8nOzubixYtotVpmz57Nxo0bqampoUOHDnTv3p1du3YBMHz4cAoLCzl3zvplMnv2bLZu3UpFRQURERFERUXxxRdfANb/n5aXl9v2R86YMYP4+HhKS0sJCwtj4MCBbNu2DYABAwZQW1vLmTNnAJg2bRr79++nqKiI4OBgRowYwZYtWwC4//770Wq1nDhxAoBJkyZx9OhRCgoK0Ov1jBkzho0bNwIQFRVFenq6bdvAI488wunTp8nJycHPz48JEybw6aefAtCzZ0+CgoJsf0hFR0eTlpZGZmYm3t7eTJs2jdjYWIQQdOvWjfDwcNsywkMPPcSVK1e4fPkyHh4ezJgxg/Xr11NbW0vnzp3p1KkTe/bsAeDBBx8kLy+PCxcuoNFoePzxx9m8eTNVVVW0b9+enj17snPnTgCGDRtGUVGR7diPWbNmsX37dsrLyzEYDPTt25cdO3YAMHjwYCorK0lOTgZo1nuEh4eH7Y/H290jMjMzbX8Yuto9Yse+L/mvIRfcYK5XR9v/P+/0HuHl5UVSUhJw+3tEdnY2RqMRUPeIW90jOtS6c8Wjln8kfMGvh02sd4/w8fHh6NGjwO3vEbm5uTbfjb1HVFY28WlH0YIoLy8XYWFh4u233xYHDx4UgMjJyanX5umnnxbjxo0TQgixatUq4enp2aCfsWPHimeffVYIIcQbb7whunfv3qDNPffcI5YtWyaEEGL+/PkiJiamQRsPDw+xZs0aIYQQ0dHR4plnnqn3elZWlgBEYmLiTT9TdXW1MBqNtp/MzEwBCKPReCsVTWL16tXN3qfi5ijfclG+5eLKvt8v+kqQ8oG458KnwmyxSLmmK/u+E36YtVeQ8oH4ff7xu+qnKb6NRmOTvr8dvnT4XXx9fenduzcXLlyw7du6PqN0nYKCAttMUnh4OCaTieLi4lu2yc/Pb3Ctq1ev1mvz/esUFxdTW1t7yzYFBdajAL4/G/ZddDodAQEB9X7shYeHh936VjRE+ZaL8i0XV/Vdbanjj1dPAfBc4L1oJe2/dVXfd8pA7+Z58lCm7xaVaNXU1PDVV1/Rrl07OnfuTHh4uG3qHcBkMrFv3z6GDRsGWKcgPTw86rXJzc0lOTnZ1ub6FPL16USAI0eOYDQa67VJTk4mNzfX1iY+Ph6dTseAAQNsbfbv31+v5EN8fDwGg6HBkqKjmDFjhqNDcCmUb7ko33JxVd/vFX9FVl0Fke6+/NROB0jfCFf1fafYnjy8y0RLqu87njtrRl588UWxd+9ecenSJXH48GExadIk4e/vL65cuSKEEOLNN98Uer1ebNy4UZw9e1Y88cQTol27dqK0tNTWx09/+lMRGRkpdu3aJU6cOCEefvhh0bdvX1FXV2drM378eNGnTx+RmJgoEhMTRe/evcWkSZNsr9fV1YmoqCgxZswYceLECbFr1y4RGRkpnn/+eVubkpISERYWJp544glx9uxZsXHjRhEQECCWL19+R5+5qVOPjWHdunXN3qfi5ijfclG+5eKKvkvqakRw2seClA/Ev4vOSb12S/dttljEhdIasSHdKF49XSAe25chum2+IPpvuyiuVdfdvoNmosJcK7Qp/xakfCCyTeVN7qcpvpv6/e3QzfBZWVk88cQTFBYW0rZtWx544AEOHz5Mx44dAXj55ZepqqpiwYIFFBcXM2TIEOLj4/H397f18c477+Du7s6sWbOoqqpizJgxfPTRR7i5udnarFq1ikWLFtmeTpwyZQorV660ve7m5sa2bdtYsGABw4cPx9vbmzlz5rB8+XJbG71ez86dO3nuuecYOHAggYGBLFmyhCVLlthbU6Opra11dAguhfItF+VbLq7o++1rZ7lmrqGnp54ftrlH6rVbmu/Ukhp25pVztriGMyXVpJTUUGm+cYHu/1ws5qVeIVLi8tG600vXhuSaYo5XX8Pg4dukfmT61gjRgkqbuwBNPf27MRw+fJgHHnigWftU3BzlWy7Kt1xczXd+XRVdL3xKhahjQ+QYpgd0knr9luT7w4slzD+cw/fzKi83Db30Ovq00dG7jRe5VXUs/+oaPQI8+WpyV2n1JOdl7+e/xgv8LqQfr4X2b1IfTfHd1O9vhxcsVTQfLWWvmKugfMtF+ZaLq/l+o/AUFaKOQV4hPOrfUfr1W4JvIQR/OFvI789cBWBUqA8jw3zo08aL3m103OPviZv222SqrNbM3y8Uca7URMLVSh4Mbdrs0p0ywDuY/xov3NWGeJm+W9RmeMXdcb2+j0IOyrdclG+5uJLvy6Yy3i+y1jh7M2yQQ076cLTvWotg/uFcW5L1yn3B7InuyOt9Q5nRMYAeel29JAvA38ONxztaD3r+14USabF+98zDpi7KyfStEi2FQqFQuDS/v3qCWixE+xp42Ndw+zc4GeW1FqbszeDfF0vQauC9QWEEprrx1ifXMNXeOpF5+p42AKzLKKXEZL5l2+air1cwWjTk1VWRU9fEIqISUYmWE/Hggw86OgSXQvmWi/ItF1fxfba6iE+MXwOwNHSgw+JwlO+8qjpG7bxCXE4FPm4aNo9qT0i2By//rYBf/b2AUQuukJl/843jQ0K8iWqjo9osWHXZKCXm6xvioen1tGT6VomWE/H9gqoK+6J8y0X5lour+P5NwXEEMDOgMwO92zosDkf4/spYwwNxlzlRVE1bnRt7ojvxcLAvS/5qjUWrhcMpVfSbd4kvDpffsA+NRsP8b2a1/vV1cZOX8u4U2/JhVdMOmJbpWyVaTsSFCxccHYJLoXzLRfmWiyv4PliZz+flGbih4Q9tm/b0WnMh23dCQSXDv7hMekUt3fw9SRzfmcEh3iz9byFZBXV0aufB2Y+70r+HF9eMZh55MYPff1CA+QYlHp7s3AadVsPp4hqOF1VLiX+A9/XCpVeb9H6ZvlWi5UQ4YgOnK6N8y0X5louz+xZC8Kt864HPP2nTnR7fLEU5Cpm+16WXMnZXOsUmCw+EeHNoXCe6+nvydZaJ5WusM0TvLAqjV2cdB9/vxE8fDUQIeP0/hYxfkkFBUV29/oJ0bjzWwVrf8oOvS6R8hgFewYB1Rqsps2gyfas6WpKxZx0thUKhUDSO7WWZTMyMx0vjxoV7ZhLZxMKXrY3PMsuYti8TAUxr78+q4RH4uFvnXCa9lMG2Q+WMG+LLjhUd6iUjq74w8syfcqisFhhC3Fn7h0hG9PWxvb4nr4KHd6Xj76ElZ3p3/DzsO49TaakjIO1/mBFkdXucCAn/fk39/lYzWk7E5s2bHR2CS6F8y0X5losz+7YIwSsFxwBYGNSrRSRZMnyfL61h7qFsBPBU1zasfzDSlmRtPVjGtkPleLjDXxaHN5jx+cE4PUn/7kLPjp7kFNYx+vkrvL3629mk0WE+3OPvSVmthU/T7b8p/rsb4pty7qHM8a0SLSeiqqrK0SG4FMq3XJRvuTiz79jSS5ypKUKv9eRXIX0dHQ5gf9/ltRYe3ZdFaa2FEW29+fuQdra6WNU1Fl54x7o5fMnjwfToqLthH70660j6dxfmxARgNsNLK/OZ+ZsszGaBRqPhqa5tAJnLh9c3xN95oiVzfKtEy4lo3769o0NwKZRvuSjfcnFW3yZh5v8VHAfgF8G9CXK7cVIhG3v6FkLw1OEcUo01tPN259MHI/H4TvHR5auvcSmnFkOIO7+dd+snL/18tHzy+wj+/otwPD00bNhbxucJZQDM69oGdw0kFlaRUmL/TfEDvb8tXHqnyBzfKtFyInr27OnoEFwK5VsuyrdcnNX3B8XnuFRbRpibNy8E3+focGzY0/eKr4r4NL0Udw2sHxlJOx8P22vpuSaW/s+aqCx/Pgw/n9unBRqNhp8+GsRz0wMB2LDXmmiFe7szOVLepvjrM1rHqu68QrzM8a0SLSdi586djg7BpVC+5aJ8y8UZfVdb6nij8DQAv217P35aj9u8Qx728r0nr4JfnswH4M8DwxnW1qfe6y+tzKeqRjDyfh8ej76zB7RmPGxt/1lCGTUmC/Btpfj/XTJSbbbcZfS3pq9XEG5oKDBXk32HFeJljm+VaCkUCoXCJfiw5AI5dZVEuPswv00PR4djdzIrapl9IAuzgLmd9SzoHljv9V1J5azfU4abG7y7pOEG+NvxwH3eGELcKa2wsCupAoBx7fyI9HGnyGRmc2ZZs32WG+Gtdec+nfUz3c0B0/ZGJVpOxLBhwxwdgkuhfMtF+ZaLs/k2CTPLvpnN+lVIX3RaNwdHVJ/m9l1jtjBjfyZXa8zcH+jF+0Pa1UukTLWChSusG+Cfmx5En3u87vgaWq2Gx0ZbZ7XW7ykFwE2r4SffbIr/19fFd/kpbs8Ab2s9rWN3uCFe5vhWiZYTUVRU5OgQXArlWy7Kt1yczfd/Sy6QWVdBO3cfnm7T3dHhNKC5fS9KyuPotWoCPbVsHPVtGYfrvLuuiLR0E23buPHa000/emjGQ9Y9WZsPlNkOoP5J1zZogC/zKrlYZmpy343B9uThHc5oyRzfKtFyItLS0hwdgkuhfMtF+ZaLM/muFRaWfjOb9cvg3nhp3R0cUUOa0/e/vy7mn1+XoAFWj4iks59nvddzC2t57T/Wo2veXBBKG/+mz+4N7+NDWJAbJWUWvjxuXT7s6OdJTDtfWyz2ZOB3SjzcyYZ4meNbJVoKhUKhcGo+LvmaK7XlhLl5Mz/QOZ+mvM6xa1U8d9S6JPh637aMN/g1aPPL9wooq7QwuJcX8ya0uavrublpmD6q/vIhwPxu1r1TH140Umex3wE0fb6zIT6rrsJu17kb1BE8krHnETxmsxk3t5a178CZUb7lonzLxVl81wkLPb5ez6XaMpaHDebF4N6ODumGNIfvwuo6Buy4TEZFLZMj/Ng8uj3ab/ZlXc4xsXZXKZ9+WcrJ89VoNHDkX50Z1Mv7rmP/8lgFYxalExTgRt7W7ni4azCZBZEbz3O1xszmUe2Z2t7/rq9zM/pe3MSZmiI2RY5hWkCnRr2nKb7VETwKtm/f7ugQXArlWy7Kt1ycxfdq40Uu1ZbR1s2Ln7bg2ay79V1nETyekE1GRS3d/D35eHgE2QV1vL36GoOfukSXGV/zyvsFnDxfjZsbvPpU22ZJsgBG3u9DSBs3ikrN7DtpnVXydNMwz1Yp3s7Lh7bCpdca/R6Z47vlLVQrmkx5ebmjQ3AplG+5KN9ycQbfZmHhj4WnAHgpuDe+Lahu1ve5W9+/OVXA7rwKvKvhMbM/ExZmcOjst8fMaLUwup8Ps8fomT7an5A2zff17+6u4dGR/vzrsxLW7ylj7CDrcuXT97Th/1KvsT2nnKyKWiJ97eN/gFcw/+HOnjyUOb7VjJYTYTAYHB2CS6F8y0X5losz+I4tvcQFUynBbjoWBN3r6HBuyd34Xpdeylup1+AimP4Lb/7jGofOVqHRWGeb/vZiODmfdWf3u514ZlpgsyZZ15nxkHUpbePeUsxm646k7gE6Rob6YBHw9leNn226U7775GFjd0PJHN8q0XIi+vZtGYejugrKt1yUb7m0dt9mYeGPV08BsCQoqkVVgb8RTfWdWlLDjxOzoQq8EzSYzTCwpxd/fiGMzM3d2PdeJxY8FkRYkH0XsB4a4EtQgBtXS8wcOP1tlfbfRFmToL+dL7JbqYc+XkG4o+HqHWyIlzm+VaLlROzYscPRIbgUyrdclG+5tHbf60uvkGYyEqj15PmgXo4O57Y0xbfRZObRfZlU1AnCjrtRVSHoc4+OQ//szAuzg4loKy+59HDXMG2kdcP7d58+jDH4Ma6dL7UWeOVkgV2u/d0K8Y1dPpQ5vlWipVAoFAqnwiIEfyg8CcDPg6MIcPO8zTtaHxYh+NGhHM6XmQjJ05J/xoxWC//6lQEP9zs7Sqe5uF68dMPeMizfKenwf/3D0GpgXUYpiVfv7EzCxjLAu2mFS2WgEi0nYvDgwY4OwaVQvuWifMulNfveVHaFlJoS9FpPFraC2Sy4c9/LkgvZklWGZx14JFi/yl+YGcTgZnqSsCmMGeiH3k9L3rW6ehvxewd68eMubQB48Xj+HRUWbSzfFi5t3F4wmeNbJVpORGWlff5SUNwY5VsuyrdcWqtvixC8/s3erBeC7qONm86xATWSO/Edl1PO/zttrew+Kt2X3II6OrXz4A/PhNorvEbh6aFh6oMNlw/BWjzVx01DYmEVGzKa/7Dp6zNaxxq5IV7m+FaJlhORnJzs6BBcCuVbLsq3XFqr78/K0jlTU4S/1oMXgu9zdDiNprG+L5WZmJOQhQCmefqzK966+fv9X7TD19vxX+nXnz7csLe03vKhwceDX/SyHgD9y5P5mMzNO6vVRxeIOxoKzdVkNmJDvMzx7fh/FYVCoVAomgEhBK9/UzdrUVAvglrJbFZjqayzMH1/JsUmC4MCvfj6MxNCwJPj9Ix7oOFRO44gepAv/j5asgrqOJpaVe+1l3qFEO7lzqXyWt4737yHOntp3Ynysm6IP34H9bRkoBItJ2L69OmODsGlUL7lonzLpTX63laeycnqa/hq3Pl5UJSjw7kjbudbCMEzh3M5XVxDqJcbo7N9Sb5UQ0gbN955IUxSlLfHS6dl8ghr0vf95UM/Dy1/6NsWgNfPXqW4xtys175eT+tYIzbEyxzfKtFyInbv3u3oEFwK5VsuyrdcWptvs7Dw+6snAHg+qBfB7l4OjujOuJ3vf1woZtUVI24aWN4ljL+uts4I/fmFcLsUIL0bri8frt9T1mC/1I+7tiGqjY5ik4U3kq8263VthUsbMaMlc3yrRMuJMBqNjg7BpVC+5aJ8y6W1+f5X8TlOVF8jQOvBi8GtazYLbu272mzh1TPWpGRZ31A++KCEGpNg3BBf5sQ0/nBjWYx/wA9fbw3pebUcT6uu95qbVsPy/tYZuHfPFXOpGYuYfvfMw9ttiJc5vlWi5USEhjr2iRNXQ/mWi/Itl9bku6CuilcKjgHwRuhA2ro7rsRBU7mV7/9dMpJfbaa9jzt+F7TsP1WJj5eG919uh0bjmJpZt8Jbp2XisBs/fQgwzuBHTDtfTBbBr081XxHT3t/ZEJ9dd+unCmWOb5VoORGtue5Na0T5lovyLZfW5Pvl/CRKLCb6eQXzs8Cejg6nSdzMt9kiWJ5qrQ31VHgbfvWeNTF549lQOrVruYVYv10+LL3h7NL/9Q9DA6xNL+VwMxUx9dK6s6/TRAq7/4BID99btnXJOlrLli1Do9GwePFi2++EELz66qsYDAa8vb0ZPXo0KSkp9d5XU1PDwoULCQkJwdfXlylTppCVlVWvTXFxMXPnzkWv16PX65k7dy4lJSX12mRkZDB58mR8fX0JCQlh0aJFmEz1pzTPnj3LqFGj8Pb2JiIigtdff90uhdeaytatWx0dgkuhfMtF+ZZLa/F9oCKP/xovoAH+Hj4MN02L+Vq7I27me3NWGRfKTAR6ajm+pZrSCguD7vVi4YwgyRHeGY884Ie3TsPF7FpOX6hp8HqfQC9+3LUNAC+daL4ipsN8whq1P0/m+G4RIzIpKYl//vOf9OnTp97v33rrLVasWMHKlStJSkoiPDyc6Ohoysq+LXa2ePFiNm3aRGxsLAkJCZSXlzNp0iTM5m+fZpgzZw6nTp0iLi6OuLg4Tp06xdy5c22vm81mJk6cSEVFBQkJCcTGxrJhwwZefPFFW5vS0lKio6MxGAwkJSXx7rvvsnz5clasWGFHMwqFQqG4GbXCwoK8QwDMb9ODIT6tZ7mzMQgh+FOKdWP3mApfPj9QjrsbfPCKATe3lrdk+F38fLQ8MvTGTx9e53oR04NXq9iU2fxFTFsMwsGUlZWJbt26iZ07d4pRo0aJF154QQghhMViEeHh4eLNN9+0ta2urhZ6vV68//77QgghSkpKhIeHh4iNjbW1yc7OFlqtVsTFxQkhhEhNTRWAOHz4sK1NYmKiAERaWpoQQojt27cLrVYrsrOzbW3WrFkjdDqdMBqNQggh3nvvPaHX60V1dbWtzbJly4TBYBAWi+Wmn6+6uloYjUbbT2ZmpgBs/TYn1z+PQg7Kt1yUb7m0Bt/LC88IUj4QIWmfiMLaKkeHc1fcyPfevHLBxylC9+8U0XZCmmBoinjl73kOiK5prP6iRDA0RXSffeGm35O/O5Uv+DhF3LP5gqipu/l3aXPTlPFtNBqb9P3t8GdCn3vuOSZOnMjYsWP54x//aPv95cuXycvLIyYmxvY7nU7HqFGjOHToEM8++yzHjx+ntra2XhuDwUBUVBSHDh1i3LhxJCYmotfrGTJkiK3NAw88gF6v59ChQ/To0YPExESioqIwGAy2NuPGjaOmpobjx4/z0EMPkZiYyKhRo9DpdPXavPLKK1y5coXOnTvf8PMtW7aM1157rcHv161bh4+PD9OnT2f37t0YjUZCQ0MZPHiwbUqzf//+WCwWTp06BcDUqVNJSEjg2rVrBAUFMXLkSDZv3gxAnz59yMvL48QJ6+PNEydO5NixY+Tn5xMQEEBMTAzr168H4L777sPPz48jR47YPkdycjLZ2dn4+voyadIk1q5dC0CPHj0ICQnh4MGDAIwdO5bz58+TkZGBTqdj+vTprF27FovFQteuXYmIiGD//v0AjB49moyMDC5duoS7uzszZ85kw4YNmEwmOnbsSNeuXfnyyy8BGDFiBAUFBZw/fx6AJ554gi1btlBZWUlkZCS9evUiPj4egKFDh2I0GklNTQVg5syZxMXFUVZWRnh4OP3792f79u0ADBo0iOrqas6ePQvAo48+yt69eykuLiYkJIShQ4fy+eefA9CvXz8ATp60HkY7efJkEhMTKSwsJDAwkNGjR7Np0yYAevfuTUFBgc33hAkTOHHiBHl5efj7+zN+/HjWrVsHQK9evdDr9SQmJgIQExNDamoqWVlZ+Pj4MHXqVNasWQNA9+7dCQ0NJSEhAYCHH36Yixcvkp6ejqenJ4899hjr1q2jrq6OLl260KFDB/bu3QvAyJEjyc7O5uLFi2i1WmbPns3GjRupqamhQ4cOdO/enV27dgEwfPhwCgsLOXfuHACzZ89m69atVFRUEBERQVRUFF988QUAQ4YMoby83LZsP2PGDOLj4yktLSUsLIyBAweybds2AAYMGEBtbS1nzpwBYNq0aezfv5+ioiKCg4MZMWIEW7ZsAeD+++9Hq9XaHE6aNImjR49SUFCAXq9nzJgxbNy4EYCoqCgKCwttbR955BFOnz5NTk4Ofn5+TJgwgU8//RSAnj17EhQUxKFD1pmO6Oho0tLSyMzMxNvbm2nTphEbG4sQgm7duhEeHs6BAwcAeOihh7hy5QqXL1/Gw8ODGTNmsH79empra+ncuTOdOnViz549ADz44IPk5eVx4cIFNBoNjz/+OJs3b6aqqor27dvTs2dPdu7cCcCwYcMoKioiLS0NgFmzZrF9+3bKy8sxGAz07duXHTt2ANa9I5WVlbbK1c15j/Dw8OD48ePA7e8RRUVFNt8t8R7x4Iwp/Db3KGjhaaMejBWsibf+/7Ol3CO8vLxISkoCbn+PKCkpsfm+fo94Id0DCKDDSU8uFJuICKxm0v1ZZGaaWsU9orKwHA/3KM5nmHhr5WY6hFQ3uEc8P2kK7ybn83WZiZ9/foj/i+nX5HuEj48PR48ebdQ9oqyszNZvY+8RTT62545TumZkzZo1IioqSlRVWf8S+e6M1sGDBwVQb5ZJCCHmz58vYmJihBBCrFq1Snh6ejboNzo6WjzzzDNCCCHeeOMN0a1btwZtunXrJpYuXWrrMzo6ukEbT09PsXr1aluf8+fPr/d6dna2AMShQ4du+hllzmhdj1UhB+VbLsq3XFq67xkZuwQpH4jhlz4X5lusKrQWvu/7dFGV4OMUoXk9RTA0RWiHp4gjKZUOiq7pTPtlhmBoihj81EVRWW2+YZu/fFUo+DhFDN1xSVpcTRnfTZ3RctgerczMTF544QU++eQTvLxuvnHt+4+uCiFu+zjr99vcqH1ztBHfbN67VTw6nY6AgIB6PwqFQqFoOnHlWawvu4IbGt5rNwxtCyxxcLcsT70G1eB5wPrZfjEnmMG9Wl/ZiuXPhxEU4MbR1Gp+/MecG256f7S99XvxyLUqipq5WnxLoEmJ1n//+1/bUgHAyy+/TJs2bRg2bBjp6emN6uP48eMUFBQwYMAA3N3dcXd3Z9++ffz1r3/F3d2dsDBrQbO8vLx67ysoKLC9Fh4ejslkori4+JZt8vPzG1z/6tWr9dp8/zrFxcXU1tbesk1BgfUx2+ttHM3UqVMdHYJLoXzLRfmWS0v1XW2p4/lc67LwC0H30cerZT9911i+6zujopY1V4xwAGrKBb0663j1qbYOjK7pdI30ZOOySDzcYe3uUl77d8Nq8O19PbhPr8MiYFdeuZS4ZI7vJiVaS5cuxdvbmlknJiaycuVK3nrrLUJCQvj5z3/eqD7GjBnD2bNnOXXqlO1n4MCB/OAHP+DUqVN06dKF8PBw2x4HAJPJxL59+xg2bBhg3Q/i4eFRr01ubi7Jycm2NtfX6q+v2wIcOXIEo9FYr01ycjK5ubm2NvHx8eh0OgYMGGBrs3///nolH+Lj4zEYDHTq1OlO9NmN62v2Cjko33JRvuXSUn3/6doZLtaWYXD34dW2/RwdTrPxXd/vfHWNuovABdBq4cPfGPDStYgiAU1iVD9f3n+5HQCv/aeQNfENq7KPN1jrXsXlVEiJSeb4btK/XGZmJvfccw8AmzdvZsaMGTzzzDMsW7bMtqn0dvj7+xMVFVXvx9fXl+DgYKKiomw1tZYuXcqmTZtITk5m3rx5+Pj4MGfOHAD0ej1PPfUUL774Irt37+bkyZM8+eST9O7dm7FjxwJw7733Mn78eObPn8/hw4c5fPgw8+fPZ9KkSfTo0QOwbjzs1asXc+fO5eTJk+zevZuXXnqJ+fPn25b65syZg06nY968eSQnJ7Np0yaWLl3KkiVLWkxl3mvXrjk6BJdC+ZaL8i2Xluj7oqmUZYXWTdTvhA3B363lFuy8U677Lqox88+zRbDP+vuXf9A6lwy/z08mBfKLHwQD8OOlORxOrr+xfLzBWgoiLqdcSn1KmeO7SYmWn5+fLcj4+HhbUuPl5UVVVVWzBffyyy+zePFiFixYwMCBA8nOziY+Ph5/f39bm3feeYdp06Yxa9Yshg8fjo+PD59//jlubm62NqtWraJ3797ExMQQExNDnz59+Pjjj22vu7m5sW3bNry8vBg+fDizZs1i2rRpLF++3NZGr9ezc+dOsrKyGDhwIAsWLGDJkiUsWbKk2T7v3RIU5BxT6K0F5VsuyrdcWppvIQTP5yZSI8xE+xqYGXDjJ71bK9d9v3e+iMo9QBX06uTZapcMb8Syn4YyZYQfNSbB1F9mkp777QrRg6E++LhpyK2q40xJwwKnzY3M8a0RTUgdf/CDH5CWlka/fv1Ys2YNGRkZBAcH89lnn/HKK680qN6u+JbS0lL0ej1Go7HZN8ZXVVXZlnQV9kf5lovyLZeW5ntj6RUey9qNp0bL2S7T6a7TOzqkZqWqqgo8dIS/dZ7SrRa0Wjj8z84McoLZrO9SXmlhxM8uc/pCDb276jj4fif8fa0TI5P3ZLA1u5w3+4Xyy/tC7BpHU8Z3U7+/mzSj9be//Y2hQ4dy9epVNmzYQHCwdTrw+PHjtmU9hXyu18tRyEH5lovyLZeW5LvcUssLeYcB+GVwH6dLssDqe+XpIkp3WwD4xQ+CnS7JAmvF+M/+1IGwIDfOXqxhzqvZmM3W+Z7ry4c7su2/IV7m+G5SwdI2bdqwfPlyzpw5Q0FBAZ999hmAbeO4QqFQKBTNxe8KjpNVV0FnD39eCenr6HDsgkXAa3+7ClXQLsKd15xoyfD7dAj3YMuf2jP6uXS2Hiznl+/ls3xhuC3ROni1klKTmQBPt9v01DpoUqIVFxfHD3/4Q65du9Zg05pGo6l3zqBCHt8/K1JhX5RvuSjfcmkpvk9WFfKXImuF9/faDcNb6/ADTezCTmMfKtIEaGDt7yPQebbepwwbw5D7fPjotwYe/102b68pomdHHU9PCeQef0++LjPxZX4F09rbr+6kzPHdpH/J559/npkzZ5KTk4PFYqn3o5Isx+Hh4eHoEFwK5VsuyrdcWoJvs7DwbO5BLAhmBXRmvF+ko0OyC1eLa/lkg/Xp9RHjvHkwytfBEclh9li9bbP/z/4vlwOnKnjE9vShfcs8yBzfTUq0CgoKWLJkSYsp1Kmwcv0MM4UclG+5KN9yaQm+3y9OI6m6kACtB38Oe8DR4diNWUuzMVeCJhhiF0c4Ohyp/O4nIcweE0CdGf74UaGtntYOO5d5kDm+m5RozZgxw3ZIpUKhUCgUzU1ObQW/LjgGwNLQgbTz8HFwRPZhw14jew9WggZmzPMnIsB5aoM1Bo1Gw+vzrbNaXx6v4H4fL3RaDRkVtaSVmm7z7tZBk8o7VFZWMnPmTNq2bUvv3r0bTMEtWrSo2QJ0NuxZ3qG0tFSdpSgR5VsuyrdcHO17dtaXfFp6mUFeISR2noybxvn2LBWVmukw6zwVpQK3AXBh2T109nOtROs69/3gIqmXa/jk9xH8z72E+NwKVgwI4+f3Btvlek0Z31LLO6xevZovvviCDRs28O677/LOO+/Yfv785z83pUtFM3Ds2DFHh+BSKN9yUb7l4kjfceVZfFp6GS0a/tFuuFMmWQAzl2ZSUSogEH4+psRlkyyAR0daC5Fv2ldar0q8vZA5vps0en/729/y+uuvYzQauXLlCpcvX7b9XLp0qbljVDSSGx2erbAfyrdclG+5OMp3paWOBbZDo3vRz9u+hSsdxT93FvHlfusxNDPm+dO/Kt3BETmW6aOtidaOw+WMDrYuE+/Lr6SyzmKX68kc301KtEwmE7Nnz0ardc6/MlorallFLsq3XJRvuTjK9x+vnuJybRmR7r68HuqctRmzi2t5bnkeAIYH3Fk1PdLlx3e/7l50DPegslqQnlZLB18PaiyCvfn2efpQpu8mZUo/+tGPWLt2bXPHorhLYmJiHB2CS6F8y0X5losjfKdUF/N/16yHRr8b/gB+WseXmGhuhBCMfO0KdWXg1gb2/7Yjnm4alx/fGo2GR0ddXz4ss3uZB5m+m5Romc1m3nrrLUaNGsXChQtthyu3tEOWXY3169c7OgSXQvmWi/ItF9m+LULw09yD1CGY4teBaQGdpF5fFj/bkMulo7UA/OUX4XQN0gFqfMO3+7Q+TyhjbKh1+dBe+7Rk+m5Sid2zZ8/Sr18/AJKTk+u9ptFo7j4qhUKhULgUH5acJ6EqH1+NO++2G+rocOzC9stl/ONfJQCMHOPDcw8FOTagFsbwPj60bePG1RIznnka3DVwoczExTITXf1b74MCTUq09uzZ09xxKJqB++67z9EhuBTKt1yUb7nI9F1QV8Uv8o8C8Hpofzp4+Em7tiwyK2p57K0sKAO/QA1bf9W+3utqfIObm4apD/rzweclfHGwguF9fNhXUElcTjnP9WjepFSmb7Wb3Ynw83O+m1NLRvmWi/ItF5m+X8o/SrHFxP1eQSwKcr6Eo9psIebjdKpPW8tWrv1dJP6+9Q9MVuPbyvV9Wpv3lzGunbVKvD2WD2X6VomWE3HkyBFHh+BSKN9yUb7lIst3fHkWHxu/RgP8o90I3J2wZtaCg7mkbbZWOX/8kQAmDPFv0EaNbytjBvri76Mlp7COyHLrwxBf5lVQY27eMg8yfTvfiFYoFApFq6DIXMOPcw4A8HxQLwZ7t3VwRM3Pvy4U8+EaI5RCSLAb7/+8naNDatHoPLVMHGadbTp7ooZ23u5UmgUHCiodHFnTUYmWEzFu3DhHh+BSKN9yUb7lYm/f4punDHPqKunhqefN0EF2vZ4jOH6tigWf58Jp63//9xUDej+3G7ZV4/tbvlvmwV7LhzJ9q0TLifj+E6AK+6J8y0X5lou9fa8yXmRd6WXc0fBJxCh8tE16NqvFUmIy89iXmdTtsv73D8frmTCs4ZLhddT4/pZHHvBD56nh6ywT91ms5S+au56WTN8q0XIisrOzHR2CS6F8y0X5los9fWfUlvNcnvWYnd+17cdAJ1syFELw48Qc0r+sgxIIC3LjncXht3yPGt/f4u/rRvQg60xW0VdmtBpIMdaQWVHbbNeQ6VslWk6Er6+vo0NwKZRvuSjfcrGXb4sQ/Ch7P6WWWh7wbssrIX3tch1H8ue0IjYfLrMtGf7n1waCAm68ZHgdNb7rM32U9YicuIMVDAn2tv7vZlw+lOlbI4QQ0q6moLS0FL1ej9FobPazliwWizp/UiLKt1yUb7nYy/fb187yUv5RfDXunOr6KPd4OtcZf4euVjLy8yuYY4FyeGZqG/7xS8Nt36fGd30KS+oIm3QeiwV+/scg3skpYnp7fzaMan/7NzeCpvhu6ve3+ld1ItT5k3JRvuWifMvFHr7PVBfx64JjALwTPsTpkqzC6jpmH8jCfAAoh64RHry98NZLhtdR47s+IW3cGXW/9Rgecdn6u115FdRammduSKZvlWgpFAqFwu7UWMw8mb0Xk7Awya89T7fp4eiQmhWLEMw9lE1Wch2cA60W/ve7CPx81NdsU3n0m+XDY0lVhOjcKK21cLiw9ZV5UCPAiejRw7luXC0d5Vsuyrdcmtv3b68e52xNMW3dvPjA8KDTnYv7ZkohcV9XwF7rf//yyWCG9fZp9PvV+G7ItG8OmT54tooH/az7tHZkN88+LZm+VaLlRISEhDg6BJdC+ZaL8i2X5vS9tyKXt6+dBeADwwjC3L2bre+WwN68Cn576irsAaqhbzcdrz4Vekd9qPHdkPZhHgy61wshIDDH+jDBtmZKtGT6VomWE3Hw4EFHh+BSKN9yUb7l0ly+jWYTP8rZhwCebtOdKf4dm6XflkJeVR1PJGQjUoF08PTQ8MnvIvD0uLMZOzW+b8z15cP0s3W4a+BMSQ1pxpq77lemb5VoKRQKhcJuLMxLJKO2gi4e/qwIG+LocJoVs0UwJyGLvPw6tNayYLzxbFuiuno5NjAnYvo3VeL3n6jgoUBrSYa16aWODOmOUYmWEzF27FhHh+BSKN9yUb7l0hy+N5Ze4WPj12jR8HHEKPzdPJshspbDq2eusie3Eu0esJhg5P0+/Hx2cJP6UuP7xvToqOPeTp7U1kHXIush07FXjNxtZSqZvlWi5UScP3/e0SG4FMq3XJRvudytb6PZxPN5iQD8KqQPw3zCmiOsFsOXeRW8kVwIp8GSA/4+Wv77/wy4uTVtk78a3zfn0ZHW5cPclDp0Wg1ppSbOltzd8qFM3yrRciIyMjIcHYJLoXzLRfmWy936/nXBMXLrKunuqef/hdzfPEG1EIwmM/MOZSMKQXvU+ru/LA6nU7umz9ip8X1zpo+2Lh/uOlrBuFDr8mHsFeNd9SnTt0q0nAidTufoEFwK5Vsuyrdc7sb34coC/l78FQDvtxuGl5MdGL34WB6ZZXV47gGLGaaM8GPeRP1d9anG983p38OLDmEeVFQJehityWxseuldLR/K9K2O4JGMPY/gUSgUCkdTKywMuLSZszXF/EjfjY8iRjo6pGbls8wypu7NtJZySIO2bdxI/qQroUHOlUy2NBb/OY+/fFrED8YHsLl7GRV1gqPjOzMoRF6pkFZ5BM/f//53+vTpQ0BAAAEBAQwdOpQdO3bYXhdC8Oqrr2IwGPD29mb06NGkpKTU66OmpoaFCxcSEhKCr68vU6ZMISsrq16b4uJi5s6di16vR6/XM3fuXEpKSuq1ycjIYPLkyfj6+hISEsKiRYswmUz12pw9e5ZRo0bh7e1NREQEr7/++l1vyGtO1BEOclG+5aJ8y6Wpvt+5lszZmmKC3XQsDxvczFE5lqvVdcw/kgNngDRr9fdPfh/RLEmWGt+35rFvlg+37C9nfLAfALHpTV8+dJkjeCIjI3nzzTc5duwYx44d4+GHH2bq1Km2ZOqtt95ixYoVrFy5kqSkJMLDw4mOjqasrMzWx+LFi9m0aROxsbEkJCRQXl7OpEmTMJvNtjZz5szh1KlTxMXFERcXx6lTp5g7d67tdbPZzMSJE6moqCAhIYHY2Fg2bNjAiy++aGtTWlpKdHQ0BoOBpKQk3n33XZYvX86KFSskmGocFovF0SG4FMq3XJRvuTTF92VTGa9ePQHA22FDCHF3njIHQgh+eiSXggtm+KaUw9sLw4gZ4tcs/avxfWtG9PWhZ0dPyistBF2xFi9dm16KpYmTHVJ9ixZGYGCg+OCDD4TFYhHh4eHizTfftL1WXV0t9Hq9eP/994UQQpSUlAgPDw8RGxtra5OdnS20Wq2Ii4sTQgiRmpoqAHH48GFbm8TERAGItLQ0IYQQ27dvF1qtVmRnZ9varFmzRuh0OmE0GoUQQrz33ntCr9eL6upqW5tly5YJg8EgLBbLTT9PdXW1MBqNtp/MzEwB2PptTo4cOdLsfSpujvItF+VbLnfq22KxiHFXdghSPhAPXd52y/tia+Tji8WClSmC0SmCoSli3h+ymvUzqvF9e1auvyYYmiK6z74gAtakCj5OEQfyK5rUV1N8G43GJn1/t5hFZbPZzLp166ioqGDo0KFcvnyZvLw8YmJibG10Oh2jRo3i0KFDPPvssxw/fpza2tp6bQwGA1FRURw6dIhx48aRmJiIXq9nyJBvC+U98MAD6PV6Dh06RI8ePUhMTCQqKgqDwWBrM27cOGpqajh+/DgPPfQQiYmJjBo1qt4GunHjxvHKK69w5coVOnfufMPPtWzZMl577bUGv1+3bh0+Pj5Mnz6d3bt3YzQaCQ0NZfDgwWzduhWA/v37Y7FYOHXqFABTp04lISGBa9euERQUxMiRI9m8eTMAffr0wWw2s2bNGgAmTpzIsWPHyM/PJyAggJiYGNavXw/Afffdh5+fH0eOHLF9juTkZLKzs/H19WXSpEm2adUePXoQEhJiq6I7duxYzp8/T0ZGBjqdjunTp7N27VosFgtdu3YlIiKC/fv3AzB69GgyMjK4dOkS7u7uzJw5kw0bNmAymejYsSNdu3blyy+/BGDEiBEUFBTYHrl94okn2LJlC5WVlURGRtKrVy/i4+MBGDp0KEajkdTUVABmzpxJXFwcZWVlhIeH079/f7Zv3w7AoEGDqK6u5uxZ6/Efjz76KHv37qW4uJiQkBCGDh3K559/DkC/fv0AOHnyJACTJ08mMTGRwsJCAgMDGT16NJs2bQKgd+/eWCwWm+8JEyZw4sQJ8vLy8Pf3Z/z48axbtw6AXr16odfrSUy0PuoeExNDamoqWVlZ+Pj4MHXqVFs/3bt3JzQ0lISEBAAefvhhLl68SHp6Op6enjz22GOsW7eOuro6unTpQocOHdi7dy8AI0eOJDs7m4sXL6LVapk9ezYbN26kpqaGDh060L17d3bt2gXA8OHDKSws5Ny5cwDMnj2brVu3UlFRQUREBFFRUXzxxRcADBkyhPLycttM84wZM4iPj6e0tJSwsDAGDhzItm3bABgwYAC1tbWcOXMGgGnTprF//36KiooIDg5mxIgRbNmyBYD7778frVbLiRPWGZBJkyZx9OhRCgoK0Ov1jBkzho0bNwIQFRWFEMLm6ZFHHuH06dPk5OTg5+fHhAkT+PTTTwHo2bMnQUFBHDpknXaIjo4mLS2NzMxMvL29mTZtGrGxsQgh6NatG+Hh4Rw4cACAhx56iCtXrnD58mU8PDyYMWMG69evp7a2ls6dO9OpUyf27NkDwIMPPkheXh4XLlxAo9Hw+OOPs3nzZqqqqmjfvj09e/Zk586dAAwbNoyioiLS0tIAmDVrFtu3b6e8vByDwUDfvn1t2yYGDx5MZWUlycnJAM16j/Dw8OD48ePA7e8RgM13Y+4Ry1P28UVHE55omZ/rTWxirNPcIz76LI6Xq3vAdjeogXvCK3io0xkqKibd8h7h5eVFUlJSo+4RGo3G5lvdI258j3j04Qm8vNLC+QwT/bKqOBnuzes7j/FjbTZRUVH4+Phw9OjRRt0jtFqtzWlj7xGVlU080PqOU7pm5syZM8LX11e4ubkJvV4vtm3bJoQQ4uDBgwKoN8skhBDz588XMTExQgghVq1aJTw9PRv0GR0dLZ555hkhhBBvvPGG6NatW4M23bp1E0uXLrX1GR0d3aCNp6enWL16ta3P+fPn13s9OztbAOLQoUM3/XwyZ7Sux6qQg/ItF+VbLnfiu6iuWoSlrRKkfCBeKzhhx6jkY7FYRHT8ZcHj1pmsiCnnRM5VU7NfR43vxrHw7VzB0BTxwMJLgo9TROi6NFFrvvOZxab4buqMlsPLO/To0YNTp05x+PBhfvazn/GjH/3I9lcI0OCEdyHEbU99/36bG7Vvjjbim7XhW8Wj0+lsm/2v/ygUCoUz8UrBMfLNVfT01PPL4D6ODqdZef9CMTu3VEI66Dw1bH6zPe1CPBwdlsuyYHogAEeOV9GmWktBtZl9+RUOjurWODzR8vT05J577mHgwIEsW7aMvn378pe//IXw8HAA8vLy6rUvKCggLMxaYTg8PByTyURxcfEt2+Tn5ze47tWrV+u1+f51iouLqa2tvWWbgoICAFsbRzN69GhHh+BSKN9yUb7l0ljfhyrz+UexdUn0H+2Go9O62TEquXxdZmLxmjywrlzxn18bGHivfcoJqPHdOHp20hE9yBchoOPlb47kacLZhzJ9OzzR+j5CCGpqaujcuTPh4eG2PQ4AJpOJffv2MWzYMMC61uvh4VGvTW5uLsnJybY219fqr6/bAhw5cgSj0VivTXJyMrm5ubY28fHx6HQ6BgwYYGuzf//+eiUf4uPjMRgMdOrUqflFNAFVWVguyrdclG+5NMa3SZh5Jte6V+gnbboz0redvcOShtkieGx9JibrliVefjKYOTF3V5T0Vqjx3XienxEEwOWkWqiDDRmlmMx39vShy1SG//Wvf82BAwe4cuUKZ8+e5Te/+Q179+7lBz/4ARqNhsWLF7N06VI2bdpEcnIy8+bNw8fHhzlz5gCg1+t56qmnePHFF9m9ezcnT57kySefpHfv3rYDI++9917Gjx/P/PnzOXz4MIcPH2b+/PlMmjSJHj16ANaNh7169WLu3LmcPHmS3bt389JLLzF//nzbUt+cOXPQ6XTMmzeP5ORkNm3axNKlS1myZMltlzJlcenSJUeH4FIo33JRvuXSGN9vX0smpaaEEDcv3godJCEqefz+cAFnVteAGR4e4sPSZ0Ptej01vhvPxGF+dGrnQWm5hYArWopNFnblld9RHzJ9O/Spw/z8fObOnUtubi56vZ4+ffoQFxdHdHQ0AC+//DJVVVUsWLCA4uJihgwZQnx8PP7+/rY+3nnnHdzd3Zk1axZVVVWMGTOGjz76CDe3b6evV61axaJFi2xPJ06ZMoWVK1faXndzc2Pbtm0sWLCA4cOH4+3tzZw5c1i+fLmtjV6vZ+fOnTz33HMMHDiQwMBAlixZwpIlS+ytqdG4u7eYh0hdAuVbLsq3XG7n+6KplNevWp/QfSdsCMFOVDPrYG4lS5dfgwpoZ3Bn4x/aN/mw6MaixnfjcXPTsGB6IC//rQDPFA10hdgrpUyI8L/9m79Bpm91BI9k1BE8CoWitXOtrpqxGTs4VV3EGF8DOzuMbzEz+3fLrpwyHvltJnVp4OEFyR91pXsHdQ5hS+OasY7IqReoNgl4FPw7aCmY0R0vN/st1LXKI3gUzcuGDRscHYJLoXzLRfmWy818X62r4uF0a5IV6ubFP9sNd5okK/aKkXH/Z02y0MKnf4yUlmSp8X1nBOvdbXvmfNI0lNVa2JHd+OVDmb5VouVEfP9sRoV9Ub7lonzL5Ua+C75Jss7UFBHu7s3eThPp4ukcM/N//uoaT3yYjcVax5l3l4QxbZi8z6bG953z/GPWUg/V5wRU3NnThzJ9q0TLiejYsaOjQ3AplG+5KN9y+b7v/LoqHkrfTnJNMe3cfdjbcQL36to4JrhmxCIEvzyRz8+35oO1CD1Lngji+enBUuNQ4/vO6dfDm+F9vLFYgFT4PKuM8trGnWEo07dKtJyIrl27OjoEl0L5lovyLZfv+s6trWT0lW2k1pQQ4e7Dvo4T6OEESVatRTDvUA5vJV6DHYAZpo30460F8msjqvHdNJ5/zFrqwS0VqkyCrdlljXqfTN8q0XIirp8JppCD8i0X5Vsu133n1FYwOn07aSYjke6+7O00kW46+9WTkkV5rYXJezL4+CsjbAeqYUBPLz75faTdnzC8EWp8N43powMID3bHXAFcsj592Bhk+laJlkKhUChuSPY3SdZ5k5EOHr7s6zSBe5xgT9bV6joe3nWFL7Iq0MYDxRAZ6s5nf2qPr7f6WmxNeHpo+Ok0614tkmFHTjklJrNjg/oeakQ5ESNGjHB0CC6F8i0X5VsuXYYNZNSVbVwwldLRw499HZ1j4/vlchPDvrhCUmE1ugQNlizw89GybXkHDG0dd4ahGt9N55mpbXB3A3LBVCDYknn75UOZvlWi5URcP3tRIQflWy7KtzzSTWU8VnaYi7VldPbwZ1/HCXTybHwxyJbKmeJqhsVd4esyE21StNSkCLRaWPt6BH3ucWzBVTW+m067EA9mPPTNHwFnITbdeNv3yPStEi0n4vz5844OwaVQvuWifMuh2lLH+IwvyNaa6Orhz75OE+joBEnWwYJKRu28Ql51HR1y3SnZb3067S+Lw5kwzPGfT43vu+P6+Yech/jLFRRW192yvUzfKtFSKBQKhY0/FJ4izWSkTa2GvZ0m0t7Dz9Eh3TXbs8uI3p1OiclCnxodBduse3gWzQz69gta0aoZ1tubft29wAxji31pSTV01RE8klFH8CgUipbK6eprDLy0hToEGyPH8GhAJ0eHdNesvmzkR4eyqRPwgMmblNU1lFVamDTcj81v2v8MQ4U8/rO1mKeW5tKpnQdff3pPs//bqiN4FGzZssXRIbgUyrdclG/7YhYWns5JoA7BdP9OaPecdnRId83Kc0U8edCaZD1k8uH0x9WUVVoY1c+HNa85pozDzVDj++55IlpPUIAbxnIz5zNvXfldpm+VaDkRlZWVjg7BpVC+5aJ825e/FqVyrLoQvdaTd8MfaNW+hRC8duYqC5PyEMCEGl8O/reKqhrBI0P92LGiA34+LevrrzX7bil467TErehA1pbu3Nvp1mdUyvTtLu1KCrsTGRnp6BBcCuVbLsq3/bhsKuO3BccB+L+wQRg8fFutb4sQvHAsj5XnigF4rMqfzf8rw2yGGQ/5s+rVSDw9Ws5M1nVaq++WxqBe3o1qJ9O3SrSciF69ejk6BJdC+ZaL8m0fhBD8NPcglaKOUT7hPNWmB9A6fZvMgnmJ2ay5UooGmF0ewNqPSxECfjRBzwe/MuDu3vKSLGidvlszMn23rLlTxV0RHx/v6BBcCuVbLsq3ffjE+DXxFdnoNG78s90ItN88rtXafFuEYHZCFmuulOKugTklAcT+z5pkPfdYIP/5dctNsqD1+W7tyPStZrQUCoXCRSmoq2Jx/hEAXm3bj+6t+AzDN1MK2ZxZhqcGZhQEsGqd9cy7X80NZulPQ9G0pOf9FS6FSrSciKFDhzo6BJdC+ZaL8t38LM47TJG5hr66IF4M7l3vtdbke09eBf/v9FUQMOqSL6vjrEnWG8+25dc/auvg6BpHa/LtDMj0rRItJ8JovP2xA4rmQ/mWi/LdvGwry2BN6SW0aPjAMAIPTf2dJK3Fd25lLU8kZGGxQM8znuw8WAHAXxaHsWhWsIOjazytxbezINO32qPlRKSmpjo6BJdC+ZaL8t18lJlN/Cz3EAA/D7qPgd4NZ31ag+86i+DxhGzyq80YLrmTdtCERgP//nW7VpVkQevw7UzI9K0SLYVCoXAxfnP1OJl1FXT28Oe10P6ODqfJ/L/TBewvqMS7QEPBLuvZdn9aEMpPJgU6ODKF4lvUETySsecRPHV1dbi7q9VgWSjfclG+m4fEynyGX9mKAOI7jCfaL+KG7Vq6761ZZUzemwlloN+ixVhq4fGxAax+LaJVbnxv6b6djab4VkfwKIiLi3N0CC6F8i0X5fvuKTObeDo3AQH8SN/tpkkWtGzfl8tNzD2UDXUQutcNY6mF+7t58e9fG1plkgUt27czItO3SrSciLKyMkeH4FIo33JRvu+OaksdUzN3kVpTQqibF2+HDb5l+5bqu8ZsYdb+LEpqLIQcdqMg00yw3o1Nb0bi49V6v9Jaqm9nRabv1jsqFQ0IDw93dAguhfItF+W76dQKC7Oz9rCnMhd/rQfbOsQQ7O51y/e0VN9LjudzrKgan1QNhWfMuLnBp3+IpFM7T0eHdle0VN/OikzfKtFyIvr3b72bWlsjyrdclO+mYRGCn+Ts57PyDHQaNz5rH33Dpwy/T0v0vfqykffOF0MWVB+wbi9++/kwHh7o6+DI7p6W6NuZkelbJVpOxPbt2x0dgkuhfMtF+b5zhBAsykvkE+NF3NGwPvJhRvu2a9R7W5rvr4w1PHMkB0rBe7cGiwV++IieRbOCHB1as9DSfDs7Mn2rREuhUCiclN9dPcHfir9CA/w3YhST/Ds4OqQmUWIyM2N/FhVVAr9dGqoqBAN6evH+y+1a7eZ3heugEi0nYtCgQY4OwaVQvuWifN8Zb187yx8LTwHwt/BhzNF3vaP3txTfVXUWpuzNJLWkBq/9GsrzBG3buLFpWXu8dc7zFdZSfLsKMn07zyhVUF1d7egQXArlWy7Kd+P5d/E5Xso/CsDS0IH8LOjeO+6jJfi2Vn7P4kBBJbqzGqrPCdzdYP0bkbQP83B0eM1KS/DtSsj0rRItJ+Ls2bOODsGlUL7lonw3jnWll3km9yAALwf35lfBfZrUj6N9CyF45kgun2WV434JTAetm9//sjickf1a/+b37+No366GTN8q0VIoFAonIa48ix9k7cWC4Jk2PXgzdFCr3cP0q5MFfHixBE0OsAuEgJ8+GsjPpqvjdRStC3UEj2TseQRPdXU1Xl63ro2jaD6Ub7ko37fmSGUBD6Vvp0qYmR3QmVURo3HTNP1vaUf6Xp5ayC9OFMA18P5cQ1WlYNpIf9a/EYmbW+tMHG+HGt9yaYrvVnkEz7Jlyxg0aBD+/v6EhoYybdo0zp07V6+NEIJXX30Vg8GAt7c3o0ePJiUlpV6bmpoaFi5cSEhICL6+vkyZMoWsrKx6bYqLi5k7dy56vR69Xs/cuXMpKSmp1yYjI4PJkyfj6+tLSEgIixYtwmQy1Wtz9uxZRo0ahbe3NxEREbz++uu0lFx17969jg7BpVC+5aJ835yLplImZ+6kSph5xC+S/0WMuqskCxzn+78XS6xJVhkEfKGlqlLwYF8fVr8W4bRJFqjxLRuZvh2aaO3bt4/nnnuOw4cPs3PnTurq6oiJiaGiosLW5q233mLFihWsXLmSpKQkwsPDiY6Orlc+f/HixWzatInY2FgSEhIoLy9n0qRJmM1mW5s5c+Zw6tQp4uLiiIuL49SpU8ydO9f2utlsZuLEiVRUVJCQkEBsbCwbNmzgxRdftLUpLS0lOjoag8FAUlIS7777LsuXL2fFihV2NtU4iouLHR2CS6F8y0X5vjFF5homZMRz1VxNf69gPo18GE+N21336wjfW7PKeOpwDlRD4BdaSkss3NdZx5Y/OdcThjdCjW+5SPUtWhAFBQUCEPv27RNCCGGxWER4eLh48803bW2qq6uFXq8X77//vhBCiJKSEuHh4SFiY2NtbbKzs4VWqxVxcXFCCCFSU1MFIA4fPmxrk5iYKACRlpYmhBBi+/btQqvViuzsbFubNWvWCJ1OJ4xGoxBCiPfee0/o9XpRXV1ta7Ns2TJhMBiExWJp1Gc0Go0CsPXZnMTHxzd7n4qbo3zLRfluSJW5Vjx4+XNBygei/bk1IsdU0Wx9y/Z9IL9CeK1OFfwnRYQ8niYYmiLaTzsnMvNNUuNwFGp8y6Upvpv6/d2i/kQwGo0ABAVZK/1evnyZvLw8YmJibG10Oh2jRo3i0KFDABw/fpza2tp6bQwGA1FRUbY2iYmJ6PV6hgwZYmvzwAMPoNfr67WJiorCYDDY2owbN46amhqOHz9uazNq1Ch0Ol29Njk5OVy5cuWGn6mmpobS0tJ6P/Zi6NChdutb0RDlWy7Kd30sQvDjnAMcqMwnQOvB9g4xtPPwabb+Zfo+W1zN5L0ZVNcKQve7UZhuJtBfyxfvdCQy1LnKONwMNb7lItO3u7Qr3QYhBEuWLGHEiBFERUUBkJeXB0BYWFi9tmFhYaSnp9vaeHp6EhgY2KDN9ffn5eURGhra4JqhoaH12nz/OoGBgXh6etZr06lTpwbXuf5a586dG1xj2bJlvPbaaw1+v27dOnx8fJg+fTq7d+/GaDQSGhrK4MGD2bp1K2A9i8lisXDq1CkApk6dSkJCAteuXSMoKIiRI0eyefNmAPr06cOhQ4fw8/MDYOLEiRw7doz8/HwCAgKIiYlh/fr1ANx33334+flx5MgRwJosJicnk52dja+vL5MmTWLt2rUA9OjRg5CQEA4etD4uPnbsWM6fP09GRgY6nY7p06ezdu1aLBYLXbt2JSIigv379wMwevRoMjIyuHTpEu7u7sycOZMNGzZgMpno2LEjXbt25csvvwRgxIgRFBQUcP78eQCeeOIJtmzZQmVlJZGRkfTq1Yv4+HjA+n8Qo9FIamoqADNnziQuLo6ysjLCw8Pp37+/7XiFQYMGUV1dbXuU99FHH2Xv3r0UFxcTEhLC0KFD+fzzzwHo168fACdPngRg8uTJJCYmUlhYSGBgIKNHj2bTpk0A9O7dm8OHD+Pra33MfMKECZw4cYK8vDz8/f0ZP34869atA6BXr17o9XoSExMBiImJITU1laysLHx8fJg6dSpr1qwBoHv37oSGhpKQkADAww8/zMWLF0lPT8fT05PHHnuMdevWUVdXR5cuXejQoYNtr8HIkSPJzs7m4sWLaLVaZs+ezcaNG6mpqaFDhw50796dXbt2ATB8+HAKCwtteyJnz57N1q1bqaioICIigqioKL744gsAhgwZQnl5uW1v5IwZM4iPj6e0tJSwsDAGDhzItm3bABgwYAC1tbWcOXMGgGnTprF//36KiooIDg5mxIgRbNmyBYD7778frVbLiRMnAJg0aRJHjx6loKAAvV7PmDFj2LhxIwBRUVEcOXLE5vuRRx7h9OnT5OTk4Ofnx4QJE/j0008B6NmzJ0FBQbY/oqKjo0lLSyMzMxNvb2+mTZtGbGwsQgi6detGeHg4Bw4cAOChhx7iypUrXL58GQ8PD2bMmMH69eupra2lc+fOdOrUiT179gDw4IMPkpeXx4ULF9BoNDz++ONs3ryZqqoq2rdvT8+ePdm5cycAw4YNo6ioiLS0NABmzZrF9u3bKS8vx2Aw0LdvX3bs2AHA4MGDqaysJDk5GeCm94jYcBOfhdXhjobnL2g5e/ILutzmHuHh4WH7w/F294ikpCR8fHzsfo/Y93UWP0v3pER4EHrYjYJzZjzcLCz7URlB3iWsWdN67xFeXl4kJSU16h5x7Ngxm291j2jaPcLHx4ejR4826h5x4sQJm+/G3iMqKytpEnc8d2YnFixYIDp27CgyMzNtvzt48KAARE5OTr22Tz/9tBg3bpwQQohVq1YJT0/PBv2NHTtWPPvss0IIId544w3RvXv3Bm3uuecesWzZMiGEEPPnzxcxMTEN2nh4eIg1a9YIIYSIjo4WzzzzTL3Xs7KyBCASExNv+Lmqq6uF0Wi0/WRmZtpt6XD16tXN3qfi5ijfclG+v+WfRV8JUj4QpHwgPiw+Z5dryPB9IL9CBK79SvBximj7onW5UDs8RWzZX2r3a7c01PiWS1N8t+qlw4ULF/LZZ5+xZ88eIiMjbb8PDw8Hvp3Zuk5BQYFtJik8PByTydRgY9v32+Tn5ze47tWrV+u1+f51iouLqa2tvWWbgoICoOGs23V0Oh0BAQH1fuzF9b+2FHJQvuWifFv5ojyLn+VaZ+t+F9KPeW262+U69va9IaOUsbvSKTZZ6HTJg6uHrA8v/ePldkx50N+u126JqPEtF5m+HZpoCSF4/vnn2bhxI19++WWDpbfOnTsTHh5um34HMJlM7Nu3j2HDhgHWaUgPD496bXJzc0lOTra1uT6NfH1KEeDIkSMYjcZ6bZKTk8nNzbW1iY+PR6fTMWDAAFub/fv31yv5EB8fj8FgaLCkqFAoFM3N6eprzMj6EjOCufp7eLVt6/xy/kvaNWbuz6KmTtDzvCfpX9QC8Pr8tjw9RRUkVTgXDk20nnvuOT755BNWr16Nv78/eXl55OXlUVVVBYBGo2Hx4sUsXbqUTZs2kZyczLx58/Dx8WHOnDkA6PV6nnrqKV588UV2797NyZMnefLJJ+nduzdjx44F4N5772X8+PHMnz+fw4cPc/jwYebPn8+kSZPo0aMHYF0T79WrF3PnzuXkyZPs3r2bl156ifnz59tmoebMmYNOp2PevHkkJyezadMmli5dypIlS1pE9eXr+wYUclC+5eLqvrNqK5iYEU+5pZaHfNrxgWGEXe879vBtEYKXjuex+Fg+ohIi97iTtsuEELB4dhC/nRfS7NdsLbj6+JaNTN8O3Qz/97//HbBuiPwuH374IfPmzQPg5ZdfpqqqigULFlBcXMyQIUOIj4/H3//bqeV33nkHd3d3Zs2aRVVVFWPGjOGjjz7Cze3bWjKrVq1i0aJFtqcTp0yZwsqVK22vu7m5sW3bNhYsWMDw4cPx9vZmzpw5LF++3NZGr9ezc+dOnnvuOQYOHEhgYCBLlixhyZIlza1GoVAobJSaTUzMiCe7rpJ7Pduwof2YZqmVJZMas4UfHcphbXop5EDAXi1ZJXV46zT8/Rft+NGENo4OUaGwC+oIHsnY8wie8vJy21OHCvujfMvFVX2bhJmJGfHsqsgh1M2LI52n0MnT/nuYmtN3cY2ZR/dlsi+/Eu1p4DBYLNCzoyfr/hhJVFd19Iyrjm9H0RTfrfIIHkXzcr18gEIOyrdcXNG3RQh+knOAXRU5+Gjc2dohRkqSBc3nO6Oilgfjr7AvoxL3OLAcsiZZc2ICSPp3F5VkfYMrjm9HItN3i6mjpbh7CgsLHR2CS6F8y8UVfb9SkMQq40Xc0LA+8mEGebeVdu3m8P2VsYaxu9LJuVKHWzzUlYHOU8NfF4czf2qbFrG3taXgiuPbkcj0rRItJ+L7RVsV9kX5lour+f7rtRTeumYtovmBYQSP+LeXev279Z1TWUvMrivkHDGjOQRmC3SN8GDdHyPp18O7maJ0HlxtfDsamb7VHi3J2HOPVnV1NV5eahpeFsq3XFzJ97rSy8zO+hIB/LHtAH7T9n7pMdyN77JaM6Pi0zm5tRpOW3/32Gh//v1rA3q/1rWJXxauNL5bAk3xrfZoKWxHPyjkoHzLxVV876vI5cnsvQhgQeC9/Dqkr0PiaKrvOotg1oEsTu75NslasSiMdW9EqiTrFrjK+G4pyPStlg4VCoWihZBcXcTUzF2YhIVp/h35a/gDrWofkxCCnx3NJW5vBViL1/PWc6H8/PFgxwamUDgQNaPlRPTu3dvRIbgUyrdcnN13Zm054zO+wGgxMdw7jNURo3HTOO4W3RTfy1IK+WBPCVjPgWbx7CBemqOSrMbg7OO7pSHTt0q0nAi1vi8X5Vsuzuy72FzDIxlf2AqSftYhGm+tYxcc7tT3J5dK+E38VYgDLDB7TABvLwxrVTNyjsSZx3dLRKZvlWg5EUlJSY4OwaVQvuXirL6rLXVMy9xFSk0JBncf4jqOI8hN5+iw7sj3nrwKfvxFDmwDauHhAT789/8Z0GpVktVYnHV8t1Rk+laJlkKhUDiIUrOJaZm72F+ZR4DWgx0dxtHBo3VVB08pqWbqjgzqtgBV0PceHZvebI/OU329KBSgyjtIx57lHYxGI3q9vln7VNwc5Vsuzub7iqmMSZnxpNSU4K1xY1uHGB7yNTg6LBuN8Z1TWcvgzy6RvcYMV6FjOw8S/9GJdiEekqJ0HpxtfLd0muJblXdQcOLECUeH4FIo33JxJt+HKwsYcvkzUmpKaOfuw/5OE1tUkgW3911Wa2bCrgyyN1mTrGC9G/HvdFBJVhNxpvHdGpDpW5V3cCLy8vIcHYJLoXzLxVl8xxovMi/nADXCzP1eQXzePoZID19Hh9WAW/kuqjEzdU8GpzfWQCZ46zRsW96e7h0cv7esteIs47u1INO3SrScCH9/OYfNKqwo33Jp7b6FEPyh8BS/v2r9S3qyXwdWR47GT9syZ4Bu5vtKuYnxu9M5t70WzoObFjYsjWTIfT6SI3QuWvv4bm3I9K32aEnGnnu06urqcHdXubMslG+5tGbf1ZY6ns5NYJXxIgBLgqJ4K2yQQ+tk3Y4b+T5xrYoJuzPIjzNDmvV3H/7GwLyJbeQH6GS05vHdGmmKb7VHS8G6descHYJLoXzLpbX6vlpXxdj0OFYZL+KOhn+0G87b4UNadJIFDX3H5ZTz4I7L5H9mTbLctPDf/6eSrOaitY7v1opM3yp9VigUCjuRWlPMpIydXK4tQ6/1ZEPkGMb4taxN743h318X88yBXCw7gCzw9NCw9vUIpo1q3ll5hcIZUYmWE9GrVy9Hh+BSKN9yaW2+d5Rl8nj2HkottXTx8Gdbhxh66to4OqxG06tXL4QQvHrmKq8nFVqLkeaDr7eGLX9qz5iBraveV0untY3v1o5M3yrRciJUDRa5KN9yaS2+hRCsKErm5fwkLAge9AljY+RYQtxb1xErPv4B/CQxh4+SjfAZUASB/lp2rOigNr7bgdYyvp0Fmb5b9iYBxR2RmJjo6BBcCuVbLq3Bd43FzI9zDvBS/lEsCJ5u051dHR9pdUlWqcnMY4cK+OiUETYCRdAuxJ3973VSSZadaA3j25mQ6VvNaCkUCkUzkFdXyfTM3SRWFaBFwzthQ1gY1KvVHap8pdzE1L2ZnC3yR/M5iArobPBg55870jXS09HhKRStDlXeQTL2LO9w7do1goODm7VPxc1RvuXSkn2frCpkauYuMusqaKP15NPIh4n2i3B0WHfMvvwKZuzPojDTjGYriGro1VnHzj93wNC2Zdb7chZa8vh2RpriW5V3UJCamuroEFwK5VsuLdX3+tLLjLiyjcy6Cnp46jnSeUqrTLL+fr6IsbvSKUw1o91iTbIG3evF/vc6qiRLAi11fDsrMn2rpUMnIisry9EhuBTKt1xamm+LELx+9SSvFZ4EYJxvBLGRD9HGrXUdQ2MyC144lsf754vhOHAULEDvDmXs/msP/H3dHB2iS9DSxrezI9O3SrScCB8ftUlVJsq3XFqS7wpLLfOy97O+7AoAPw+6j7fCBuPewouQfp+r1XXM2J/F/uxK+BKwFq7nhVlBjOx4QSVZEmlJ49sVkOlb7dGSjD33aCkUCvuTbipjauYuTtcU4YGW99sN5yeB3R0d1h1zuriaqXszSc+vRRsHlgLwcIf3XmrH01MCHR2eQtHiUHu0FKxZs8bRIbgUyrdcWoLvhMo8Bl3+jNM1RYS6efFlp0daZZK1IaOUYXGXSb9Ui9sGa5IV0saNXX/paEuyWoJvV0L5lotM32rpUKFQKBrBB8XnWJB7iFos3O8VxJb20XTwaF3V0YUQvHbmKq+dLYTzoN0L5jqI6qLjs7fa09mgyjcoFM2NSrSciO7dW99f1q0Z5VsujvJdJywsyT/Cu0XWp5RmBnTmQ8OD+Gpb15N4dRbBs0dy+c/XJXAYOGnd9D55hB+rfh/RYD+WGt9yUb7lItO3SrSciNDQUEeH4FIo33JxhO8icw2zsr5kd0UOAH9o25/fhNzf6oqQVtZZmH0gi61XymEXcNn6+1/NDeaNZ0PRaht+HjW+5aJ8y0Wmb7VHy4lISEhwdAguhfItF9m+U2uKGXxpC7srcvDVuLMxcgy/bduv1SVZRTVmonens/V8OZrNwGXQeWr4+HcGlv0s7IZJFqjxLRvlWy4yfasZLYVCofgeW8symJO9lzJLLR09/PisfTR9vIIcHdYdk1lRy/gvM0i9WINmO4hyaNvGjS1/as/Q3qqcgEIhA1XeQTL2LO+Qn59PWFhYs/apuDnKt1xk+L5oKuX/FRxnTeklAEb6hLM+8mHaunvb9br24CtjDTG708lKq0PzBYha6NnRk23LO9Al4vab3tX4lovyLZem+G6V5R3279/P5MmTMRgMaDQaNm/eXO91IQSvvvoqBoMBb29vRo8eTUpKSr02NTU1LFy4kJCQEHx9fZkyZUqDiq/FxcXMnTsXvV6PXq9n7ty5lJSU1GuTkZHB5MmT8fX1JSQkhEWLFmEymeq1OXv2LKNGjcLb25uIiAhef/11WlKeevHiRUeH4FIo33Kxp+/8uioW5ibS8+v1tiTrucB72dlxfKtMshKvVjLiiytkHa2DbdYk66H+Phz6R+dGJVmgxrdslG+5yPTt0ESroqKCvn37snLlyhu+/tZbb7FixQpWrlxJUlIS4eHhREdHU1ZWZmuzePFiNm3aRGxsLAkJCZSXlzNp0iTMZrOtzZw5czh16hRxcXHExcVx6tQp5s6da3vdbDYzceJEKioqSEhIIDY2lg0bNvDiiy/a2pSWlhIdHY3BYCApKYl3332X5cuXs2LFCjuYaRrp6emODsGlUL7lYg/fpWYTvy84QdcLn7KyOJU6BP+/vTuPi+q+9z/+moGZYR9BBARBca8iGnEJ7rtxSTQmxpg0N7ltbZM0bVLTx/216e/XLG2ibe8vbe6vN01vc5u0t61a90SNgruJqFFABYIaN5BFRHYGhlm+vz+IkxA0iYT5Dsvn+XjMAzjny5kvb46Hj+d8z/fMDY4jM3ERv+89AbOh882Mvv1KLTPSL1GxzwUHAQWPzbey87d9CQ/76j+P7N96Sd56ac1bdRCA2rx5s+drt9utYmJi1OrVqz3LGhsbldVqVW+88YZSSqmqqiplMpnU2rVrPW2KioqU0WhUO3fuVEoplZeXpwB15MgRT5uMjAwFqPz8fKWUUjt27FBGo1EVFRV52qxZs0ZZLBZVXV2tlFLq9ddfV1arVTU2NnrarFq1SsXGxiq32/2Vf87q6moFeLbbnjZs2NDu2xS3Jnnr1Z55N7qc6rXyHBWZ/zdF7puK3DfV2PNb1N66oi//5g7srY8rlfGtXMVDuYrU5tfLb5fd1jHqBtm/9ZK89WpL3m39+91h7zq8ePEipaWlzJkzx7PMYrEwdepUDh8+DMCJEydwOBwt2sTGxpKUlORpk5GRgdVqZfz48Z42d955J1artUWbpKQkYmNjPW3mzp2L3W7nxIkTnjZTp07FYrG0aFNcXMylS5du+XPY7XZqampavLzlvvvu89q2RWuSt17tkbdbKf5e/TFDz2/g6atHKHc1MthsZX2fGRxNvIfpwbFfvpEOyOlW/CTrKv+6pxj3Fjx3Fq55MY7nHu3VpjslZf/WS/LWS2feHfauw9LSUoBWg9Wio6M9p/xKS0sxm82Eh4e3anPj+0tLS286X0ZUVFSLNp9/n/DwcMxmc4s2/fr1a/U+N9YlJibe9OdYtWoVL774Yqvl69evJygoiCVLlrBnzx6qq6uJiopi3LhxbNu2DYDRo0fjdrvJzs4GYNGiRbz//vtcv36diIgIpkyZ4hnXlpyczNGjRwkMbB5PsmDBAo4fP87Vq1cJCwtjzpw5bNiwAYDhw4cTEhLC0aNHgeaCMScnh6KiIoKDg1m4cCHr1q0DYMiQIURGRvLBBx8AMGvWLM6ePUtBQQEWi4UlS5awbt063G43AwYMIC4ujoMHDwIwbdo0CgoKuHDhAv7+/ixdupSNGzfS1NRE3759GTBgAHv37gVg0qRJlJWVcfbsWQCWL1/O1q1bsdls9OnTh2HDhpGWlgZAamoq1dXV5OV9MoHk0qXs3LmT2tpaYmJiGD16NDt27ABg7NixNDY2cvr0aQDuvfde9u/fT2VlJZGRkaSmpvLuu+8CcMcddwCQlZUFwN13301GRgbl5eWEh4czbdo0Nm/eDMCIESP48MMPCQgIAGD+/PlkZmZSWlpKaGgod911F+vXrwdg2LBhWK1WMjIyAJgzZw55eXlcuXKFoKAgFi1a5HkcxODBg4mKivLcejxjxgzOnz/P5cuXMZvN3Hfffaxfvx6n00n//v1JSEhg//79AEyZMoWioiLOnz+P0Whk2bJlbNq0CbvdTkJCAoMHD2b37t0ATJw4kfLycs6cOQPAsmXL2LZtG/X19cTFxZGUlMSuXbsAGD9+PHV1dZ7xkffffz9paWnU1NQQHR3NmDFj2L59OwApKSk4HA5OnToFwOLFizl48CAVFRX07NmTSZMmsXXrVgBGjRqF0WgkMzMTgIULF3Ls2DHKysqwWq3MnDmTTZs2AZCUlMTx48c9ec+bN4+TJ09SXFxMSEgI8+fP55///CcAQ4cOJSIiwvMfqdmzZ5Ofn89HxQX8sZ+TEyEOAHo4DDzhjmNF6Dc4sv0D1nKE6dOnc+nSJS5evIjJZOL+++9nw4YNOBwOEhMT6devH/v27QNg8uTJlJaWcu7cOQwGAw8++CBbtmyhoaGB+Ph4hg4dSnp6OgATJkygoqKC/Px8AB544AF27NhBXV0dsbGxjBw5kvfeew+AcePGYbPZyMnJAfjSY0S53cX3TtWSWxzaPEdWHYQEOHlx+XUWTern2beSk5MxmUye/zx+2THixIkTnrzlGNG2Y0RAQAAffvjhVzpGZGVlef4jL8eIth0jgoKCOHbs2Fc6Rpw8edKT941jRGFhIYGBgSxevJi1a9eilGLQoEHExMRw6NAhbDYbbXLb5868hM9dOvzggw8UoIqLi1u0+853vqPmzp2rlFLq73//uzKbza22NWvWLPW9731PKaXUyy+/rAYPHtyqzcCBA9WqVauUUkqtWLFCzZkzp1Ubk8mk1qxZo5RSavbs2eq73/1ui/VXrlxRgMrIyLjlz9XY2Kiqq6s9r8LCQq9dOvzHP/7R7tsUtyZ56/V18s60XVP9zq5V5L6pAvLeUi+XZal6l6Mde+cbx67ZVNyafMWKTy8VDl52Tp0rtH/tbcv+rZfkrVdb8m7rpcMOe0YrJiYGaD5b1Lt3b8/ysrIyz5mkmJgYmpqaqKysbHFWq6ysjAkTJnjaXL16tdX2r1271mI7N87u3FBZWYnD4WjR5sbZrc++D7Q+6/ZZFoulxeVGb+rfv7+W9xHNJG+92pr3W1VneaLkMHblItEUyqb4mYwK6NnOvdPvzXOVPLGxBOc+4JP7g1bc04PfPBWNNeTrD+KX/VsvyVsvnXl32DFaiYmJxMTEeE69AzQ1NXHgwAFPEZWSkoLJZGrRpqSkhJycHE+bG6eQb5xOBDh69CjV1dUt2uTk5FBSUuJpk5aWhsViISUlxdPm4MGDLaZ8SEtLIzY2ttUlRV9JSEjwdRe6Fclbr9vNu9Ht5LvF7/Ot4kPYlYsFIfGc6L+o0xdZdpebR/ddYcWqEpzvALWQEGMi/bUE/usnse1SZIHs37pJ3nrpzNunhVZdXR3Z2dmeMUgXL14kOzubgoICDAYDzzzzDK+88gqbN28mJyeHxx57jKCgIB566CEArFYr3/72t3n22WfZs2cPWVlZfPOb32TEiBHMmjULgG984xvcddddrFixgiNHjnDkyBFWrFjBwoULGTJkCNB8PXzYsGE88sgjZGVlsWfPHn784x+zYsUKz6RkDz30EBaLhccee4ycnBw2b97MK6+8wsqVKzvMIzluXIcXekjeet1O3pebapl0aTt/qjqDgeZnFL4TP5twPz1nl72lsN7BiN+f56+v1EDzcC+euj+c3L8NYNbYkHZ9L9m/9ZK89dKZt08vHR4/fpzp06d7vl65ciUAjz76KG+//Tb/9m//RkNDA08++SSVlZWMHz+etLQ0QkNDPd/z29/+Fn9/fx544AEaGhqYOXMmb7/9Nn5+n/6v7u9//zs//OEPPXcn3nPPPS3m7vLz82P79u08+eSTTJw4kcDAQB566CH+/d//3dPGarWSnp7O97//fcaMGUN4eDgrV6709FkI0THsqrvCQ0X7qXDZifCz8I+4acwN6ePrbn1tm8/WsHx1Efb85kmS43r7s+b/xDF5VLCPeyaE+CLyCB7NvPkInqKiIuLi4tp1m+LWJG+9vixvt1K8XJ7N89cyUcCYgEg29JlBX3PoLb+nM2hwulj+djFb19RCA2CA797fg989GUOgxXsXJWT/1kvy1qsteXfKR/CI9lVUVOTrLnQrkrdeX5R3hu0qky9t4+efFFnf7TGEQ/0WdPoia92pKiIfPcvWPzcXWT2ijRx8oy9//FGsV4sskP1bN8lbL515S6HVhcizsvSSvPW6Wd7n7NUsLdzDhEvbONxQRqDBjz/HTuaPsZMIMHbYm6q/1HWbk9RVF3nwqWJsFxX4wYNLwyhdN5jJI/RcKpT9Wy/JWy+deXfeI5FoxWiUulknyVuvz+Z9zdnAL8qz+UPFRzhRGIB/7TGYl3qNJs7Uuccs/d995fz0tTIczbPH0HuAH1ufT2DsQL0Pt5b9Wy/JWy+decsYLc28OUZLiK7O5nbyWkUuq8tPUuNunuF9XkgffhU1lhEBET7u3ddz/noT81YXcO5wEygwBsCz3+7Jrx6K6jB3NgvRnckYLeF5FIHQQ/LWx6XcPLVnDYM/Xs9zZcepcTu4I6AnuxPmsSNhbqcuspRSPL2+lEHLP+bcB81F1rCxZi6sG8ivH472WZEl+7dekrdeOvOWS4ddiN1u93UXuhXJW4+99cWsLD3Kyd42cEKCKZiXe43hIesAjJ34TE+FzclPNpfxj3erqS9ovrBg7mHg1R9F8f3Zvp9UVfZvvSRvvXTmLYVWFyIzC+sleXvXOXs1P756jHfqCgAIcRv5eUwKP4gY1qkHuqdfqOO5f5Rx4mAjqu6ThUaYOieIrT+OxxrUPjO7f12yf+sleeulM+/Oe7QSrQwePNjXXehWJG/vqHTZ+cW1LH5f8REO3Phh4Inwb/CUMYEhkZ1znqE6h5tV+67xxsZKKnLd4G5e7hcI02cE8+q/RDMiPsC3nfwc2b/1krz10pm3jNHqQnbv3u3rLnQrknf7cig3v6/IY9DH6/ltRS4O3MwP6cPpAUv4f71Tydx70NddvC1upThUUs+s1y9hXZbPKy9cp+J0c5EV0cfIT3/Yk9rtQ0j/Wd8OV2SB7N+6Sd566cxbzmgJIXzuvdpCnr16jI+aqgAYZunBq9HjO92jc+qdbnYV1fHm/kr2f2Cj4ZyCG0NBjDB6nIVXHoli7h2deyJVIcRXJ4VWFzJx4kRfd6Fbkby/viO2Mp6/lklaffMszT39LPyiVworwofgb2h5wr2j5n2l3sE7hTX87UgNx4404DpH86NyPhEYZmDZ/DBeeTiK3j1NPuvn7eqoeXdVkrdeOvOWQqsLKS8vlwGVGknebXfYdpUXr2V5CiwTRn4YMYz/3WsUPfwsN/2ejpT3tUYn/3Wugr8dqyH/RBN8DNR9uj4gyMCMicE8vTCCmaOD8fPrfHdHdqS8uwPJWy+deUuh1YWcOXOG0aNH+7ob3YbkffsO1ZfyYnkWe+qLAfDDwL/0GMjPIkcxwPzFEwB2hLxzqxr5ZUY569NrcOUDVZ+uswQYmDMhmO/NC2fO+BBM/p2vuPqsjpB3dyJ566Uzbym0hBBed6C+hBevZbHPVgKAPwYe6zGIn0aOpP+XFFi+5laKrRdq+fnmMnKONsFnnkVrMsG8CSE8OrcH81JDvP6gZyFE5yOP4NHMm4/gcbvd8rwsjSTvL6aUYm99CS+VZ3HQVgo0XyL8Vvhgftozmb7m2xsQrjvvuiYXP3/vGn/eUUX1R25wfrrujqQAnronnKXTwwgN7hjzXrU32b/1krz1akve8ggewbZt23zdhW5F8r65s/Zqfl52ggEfr2dWwXsctJViNhh5MvwbfDxoKW/0nnjbRRboydvpcvOXo5VMePEi1rvP8NtfVVB9urnIskYa+dG/RHBx40Ay/6s/31oY3mWLLJD9WzfJWy+deculwy6kvr7e113oViTvT5U5G1hXc4G/VZ3nWOM1z/IQo4nHrIP4X5HJ9DEFf6338Fbel2ubeP1ABZsP1HH+VBPu2k/XGcww/s5AXlwayezRId3q4c6yf+sleeulM28ptLqQuLjOOWt2Z9Xd87a5nbxTe5m/VZ9nZ90VXDSPQvDDwNyQOB6xDuSe0L4EtdPjctor70aXm92Fdby5v4oDR2xUnXVD42ca+EPsEH8emBnGLxb1IiSw6561+iLdff/WTfLWS2feUmh1IUlJSb7uQrfSHfNudDvZVV/E+pqLvFNbQK3b4Vk3NiCSR3oMZFlYf6L8A9v9vduat1KKnKpG/pFdw7vHavkopwn3ZVqMufILhKSRFpbPsPLEjHDCOsjzBn2pO+7fviR566Uzbym0upBdu3axfPlyX3ej2+gueX9RcZVoCuWb1gE8bB3AEEsPr/bjdvIubXCy9nQVGzJqyTzdSMNlBZ+7UhDcw8Dk8UF8b244C8eE4t/Jp2Nob91l/+4oJG+9dOYthZYQopUvKq76+AezNKwfS8MSuTMwqkOMW6pucvHu2VrWHa7hcLaNigtuqGnZxuAHiQNMzB0bwrdmWEkZGtgh+i6E6Nqk0OpCxo8f7+sudCtdLe96t4OddVfYWHOJbXWFtyyuxgdGYfRBgfLZvMsbHaw7WcOWo7Vk5jVScal1YYUBYvv6M3V0EN+cbGXayGCCAuRG66+qq+3fHZ3krZfOvKXQ6kLq6uq+vJFoN10h72pXE9vqCthUc5n36gppUC7Puo5QXN1wuaaJ1zLqObH+Iqc/slNT6G7xPMEbImL9uHNUIA9PCmPh2FDCuvD0C97WFfbvzkTy1ktn3lJodSG5ubkkJyf7uhvdRmfN+7qzka21BWysvcju+mKalNuzrp8phPtC+3FfWD+fFVdXaprYlF3LntP1nDzXSHGBE8c1wOXHZ6srgx/E9PNnfFIA940P4+4xoVhDpLBqL511/+6sJG+9dOYthZYQXZxLuclsvE56XRFp9UW8b7vqmYoBYKjZyn1h/bgvtB+jAnpqHbdUUOVgS1YNe3PrOXnWTnGBg6ZywN26rdGiSBhoZmJyIMtTrcxKDsZilkuBQoiOTR7Bo5k3H8HjcDgwmUztuk1xax057wJHnaew2l1fTIXL3mL9SEtEc3EV1o9hlnCv98ftdnP8ciPvnqzjcL6N/AtNlF1x4qy6eXtjAETF+zN8oJkpw4NZkhLKoBgjFovZ630VzTry/t0VSd56tSXvtv79ljNaXUhaWhoLFizwdTe6jY6Ud62rif22UtLri0irK+JMU3WL9WFGEzOCY5kTHMfckDivPsj58vUm0nLrOXzWxukLdi5cbqKq2I2y37y9XzD06uPHsIEWpn5SVA3vY2l1Zm379u0dJu/uoCPt392B5K2Xzryl0OpCamo+f9uV8CZf5u1Ubj5suEZ6fTHpdUUcaSjD+ZnLgX4YGB/Yi9nBccwJiWNcYC/8De13mc3tdnPmmoP03DqOnG0g75KdwisOqq66cd/qyRZGsPQ0EBvvT9IAC1OHB7FoVCgDoyxf6T1l/9ZL8tZL8tZLZ95SaHUh0dHRvu5Ct6Izb6UU5x21pNcVkV5fxN76EqrdTS3aDDCFMjskjrnBcUwPjsXq9/Uus1U0ODla0MCHFxrIuWznQpGD4qtOKstdNFYoaLr19xpDoUe0kfg4E6MGBTBreDALR4TQI6jthxzZv/WSvPWSvPXSmbeM0dLMm2O0ampq2n2b4ta8lbdSimKnjazG657XicZyChwtTxWFG83MDI5ldkgcs4PjSDSH3vb7XCx3cOi8jcxLjeQVNnK51MHVMhd1FW7c1dx0UPpn+VshPNqPvvEmRiRamDgkiNnDgkkIb/+xVLJ/6yV56yV569WWvGWMlmD79u3yCAeN2iNvp3JzvqmG7MaKFoXVNVdjq7YmjEwIivJcDhwd0BO/L7gc6HK5yS91kFXQwEdFds6VNFFw1UFJmZPychcNFQr1BWelgObLfT0MhPfyIzban/5xJoYnWBiTGMiEAYFEBOs7hMj+rZfkrZfkrZfOvKXQEsLL3EpR5KznXFMNZ+3VnG2qbv68qYYLTTUtxlbd4IeBoRYrdwT09LzGBvYixNh8l0xptZO9l+rJL2ni46tNFFxzUFzupOy6i8oKF/VVbpy1fOkZKQBjMISEG+nVy4++sSaG9rFwR98AJgwMZEhvC35+8pgaIYRoKym0upCUlBRfd6FbuZF3vdvBFUc9Vxw2ipz1zZ87m7++5Kjl46aaFjOuf16gwY/hpgj6NkQQURuGpToEd1UAZZUuCitdZFe7+G1NHTXVNTTUuHHUAY5bbq4lQ3MhFdjDQFi4H1GRfsRHm0iKbz4rNXlAEFGhneMwIPu3XpK3XpK3Xjrz7hxH2A7m9ddf5ze/+Q0lJSUMHz6c3/3ud0yePNnX3cLh+Kp/fcVXVetqovBG8eSwccVZT6GjjisOG+cd17mWf5SqG4PSm4xg8wObP9T7f/p5Qy8M9f6YbQH41Zsx1Jtx1/vjshlx2Yw0NBo43gjHPe/a+MnrS5jAFAKBoUasViM9I/zoHenPgN5mhsaaGRkfwKg+AYRYusZs6bJ/6yV56yV566Uzbym0btO6det45plneP3115k4cSJ//OMfmTdvHnl5eSQkJPi0b6dOnWL48OE+7UNH5VBubC4HVS4HRY2NFNQ1UmJrpMjWxDWbnesNDiobHFTbndTZnVQ3OqlrdOG0A3Y/sBubPzZ+8tEeCo09oP6TYsrmD85bj5dSwC2mkWrBEADmIAMBIQZCQo1Yw4xEWP3oFe5PQi9/BkSZGRJjZkRcAL2t3WtyQ9m/9ZK89ZK89dKZtxRat+nVV1/l29/+Nt/5zncA+N3vfseuXbv4wx/+wKpVq3zWr41nrnHUFoD5zLUvbOdGoWj+w68Un35O811oAG63wqXA5Va4P/tRqRbrXErhcvPJR4VTfdrO6XbjUuB0KZrcqvmjs/mj0938crjcOF2ftHEpnA6Fw6VwusDhVLhcze1dLnA5m9u5nJ+8pwtcLoXbBcrFpx+dBpQTlMOAchrAYQSnARyG5kLIYbxJQWT55NUODGCwgH8AmAINBAQaCAo2EhJsJCzESI8QPyJC/egV5k+01Y/eVn/iwv0Z2MtMQoQJk0keKSOEEF2JTO9wG5qamggKCmL9+vXce++9nuVPP/002dnZHDhwoNX32O127PZPz2XU1NQQHx/f7tM7GKbkfOEZFXELJjf4KwxmhdEERhP4mcBkNhBg8SPY7E9woB/BAQaCg4yEBja/rMF+hFrcxEcG0LuHifhwf+IjTESF+mE0yu/BGxoaGggMDPR1N7oNyVsvyVuvtuQt0ztoUF5ejsvlajXRWXR0NKWlpTf9nlWrVvHiiy+2Wr5+/XqCgoJYsmQJe/bsobq6mqioKMaNG8e2bdsAGD16NG63m+zsbAAWLVrE+++/z/Xr14mIiGDKlCls2bKleYOm4fCVbw77XG19s+8z3Fiu4EbdYFCfLr+x7rNff3Y9CgwGMCowKAxGmrdjUGBs/tpgNKBwYzAqjCYDBqNCGdwYjGC2+OFSTgwGN/4mIyazH06nHT8jBAVaMBrcOB12/I2KXj3Dqa+txqhchAWaiIsKp7K0iEA/xeD4WIKNLqpLCgkzulk8ezpnTh7FXldJXEwEEyem8u677wJwxx13AJCVlQXA3XffTUZGBuXl5YSHhzNt2jQ2b94MwIgRI8jNzcV91Y39KgyeP5/MzKPsKy0lNDSUu+66i/Xr1wMwbNgwrFYrGRkZAMyZM4e8vDyuXLlCUFAQixYtYs2aNQAMHjyYqKgo3n//fQBmzJjB+fPnuXz5Mmazmfvuu4/169fjdDrp378/CQkJ7N+/H4ApU6ZQVFTE+fPnMRqNLFu2jE2bNmG320lISGDw4MHs3r0bgIkTJ1JeXs6ZM2cAWLZsGdu2baO+vp64uDiSkpLYtWsXAOPHj6euro7c3FwA7r//ftLS0qipqSE6OpoxY8awfft2oHmAqcPh4NSpUwAsXryYgwcPUlFRQc+ePZk0aRJbt24FYNSoURiNRjIzMwFYuHAhx44do6ysDKvVysyZM9m0aRMASUlJ5OXl4XY330Y5b948Tp48SXFxMSEhIcyfP59//vOfAAwdOpSIiAgOHz4MwOzZs8nPz6ewsJDAwEAWL17M2rVrUUoxaNAgYmJiOHToEADTp0/n0qVLXLx4EZPJxP3338+GDRtwOBwkJibSr18/9u3bB8DkyZMpLS3l3LlzGAwGHnzwQbZs2UJDQwPx8fEMHTqU9PR0ACZMmEBFRQX5+fkAPPDAA+zYsYO6ujpiY2MZOXIk7733HgDjxo3DZrORk5MD0G7HiOTkZEwmEydOnABgwYIFHD9+nKtXrxIWFsacOXPYsGEDAMOHDyc/Px+Xq/kmjrlz55KTk0NRURHBwcEsXLiQdevWATBkyBAiIyP54IMPAJg1axZnz56loKAAi8XCkiVLWLduHW63mwEDBhAXF8fBgwcBmDZtGgUFBVy4cAF/f3+WLl3Kxo0baWpqom/fvgwYMIC9e/cCMGnSJMrKyjh79iwAy5cvZ+vWrdhsNvr06cOwYcNIS0sDIDU1lerqavLy8gBYunQpO3fupLa2lpiYGEaPHs2OHTsAGDt2LI2NjZw+fRqAe++9l/3791NZWUlkZCSpqW0/RgQEBPDhhx8CMH/+fDIzMym9xTHizJkznrzlGNG2Y0RQUBDHjh0DvvwY8fHHH+N0OoGvfoyw2Wy0hZzRug3FxcXExcVx+PBhUlNTPctffvll/ud//sdzEP0sXWe0ANasWSPzsGgkeesleesleesleevVlrzljJYGkZGR+Pn5tTp7VVZWdsvp/C0WCxZLO43/+RI9e/bU8j6imeStl+Stl+Stl+Stl868ZTDJbTCbzaSkpHguB9yQnp7OhAkTfNSrT02aNMnXXehWJG+9JG+9JG+9JG+9dOYthdZtWrlyJW+++SZ//vOf+eijj/jRj35EQUEBjz/+uK+75rmuLfSQvPWSvPWSvPWSvPXSmbdcOrxNy5Yt4/r167z00kuUlJSQlJTEjh076Nu3r6+7JoQQQogORgqtNnjyySd58sknfd2NVkaNGuXrLnQrkrdekrdekrdekrdeOvOWS4ddiMzfpJfkrZfkrZfkrZfkrZfOvOU324XcmGtE6CF56yV56yV56yV566Uzbym0hBBCCCG8RCYs1aytE559FbW1tYSGhrbrNsWtSd56Sd56Sd56Sd56tSXvtv79ljNaXciNRw8IPSRvvSRvvSRvvSRvvXTmLYVWF1JWVubrLnQrkrdekrdekrdekrdeOvOWQqsLsVqtvu5CtyJ56yV56yV56yV566UzbxmjpZk3x2jZ7XZtz1UUkrdukrdekrdekrdebclbxmgJNm3a5OsudCuSt16St16St16St14685aZ4TW7cQKxpqam3bdts9m8sl1xc5K3XpK3XpK3XpK3Xm3J+0b7270QKJcONbty5Qrx8fG+7oYQQggh2qCwsJA+ffp85fZSaGnmdrspLi4mNDQUg8HQbtutqakhPj6ewsLCdh/7JVqTvPWSvPWSvPWSvPVqa95KKWpra4mNjb2tR/jIpUPNjEbjbVXCtyssLEz+oWokeesleesleesleevVlrzbcreiDIYXQgghhPASKbSEEEIIIbxECq0uwmKx8Pzzz8s8LJpI3npJ3npJ3npJ3nrpzlsGwwshhBBCeImc0RJCCCGE8BIptIQQQgghvEQKLSGEEEIIL5FCSwghhBDCS6TQ6gJef/11EhMTCQgIICUlhUOHDvm6S53CwYMHufvuu4mNjcVgMLBly5YW65VSvPDCC8TGxhIYGMi0adPIzc1t0cZut/ODH/yAyMhIgoODueeee7hy5UqLNpWVlTzyyCNYrVasViuPPPIIVVVVXv7pOpZVq1YxduxYQkNDiYqKYvHixZw5c6ZFG8m7/fzhD38gOTnZMyFjamoq7733nme9ZO1dq1atwmAw8Mwzz3iWSebt54UXXsBgMLR4xcTEeNZ3uKyV6NTWrl2rTCaT+tOf/qTy8vLU008/rYKDg9Xly5d93bUOb8eOHepnP/uZ2rhxowLU5s2bW6xfvXq1Cg0NVRs3blSnT59Wy5YtU71791Y1NTWeNo8//riKi4tT6enpKjMzU02fPl2NHDlSOZ1OT5u77rpLJSUlqcOHD6vDhw+rpKQktXDhQl0/Zocwd+5c9dZbb6mcnByVnZ2tFixYoBISElRdXZ2njeTdft555x21fft2debMGXXmzBn13HPPKZPJpHJycpRSkrU3HTt2TPXr108lJyerp59+2rNcMm8/zz//vBo+fLgqKSnxvMrKyjzrO1rWUmh1cuPGjVOPP/54i2VDhw5VP/nJT3zUo87p84WW2+1WMTExavXq1Z5ljY2Nymq1qjfeeEMppVRVVZUymUxq7dq1njZFRUXKaDSqnTt3KqWUysvLU4A6cuSIp01GRoYCVH5+vpd/qo6rrKxMAerAgQNKKclbh/DwcPXmm29K1l5UW1urBg0apNLT09XUqVM9hZZk3r6ef/55NXLkyJuu64hZy6XDTqypqYkTJ04wZ86cFsvnzJnD4cOHfdSrruHixYuUlpa2yNZisTB16lRPtidOnMDhcLRoExsbS1JSkqdNRkYGVquV8ePHe9rceeedWK3Wbv07qq6uBiAiIgKQvL3J5XKxdu1a6uvrSU1Nlay96Pvf/z4LFixg1qxZLZZL5u3v3LlzxMbGkpiYyIMPPsiFCxeAjpm1PFS6EysvL8flchEdHd1ieXR0NKWlpT7qVddwI7+bZXv58mVPG7PZTHh4eKs2N76/tLSUqKioVtuPiorqtr8jpRQrV65k0qRJJCUlAZK3N5w+fZrU1FQaGxsJCQlh8+bNDBs2zPNHQrJuX2vXriUzM5MPP/yw1TrZv9vX+PHj+etf/8rgwYO5evUqv/zlL5kwYQK5ubkdMmsptLoAg8HQ4mulVKtlom3aku3n29ysfXf+HT311FOcOnWK999/v9U6ybv9DBkyhOzsbKqqqti4cSOPPvooBw4c8KyXrNtPYWEhTz/9NGlpaQQEBNyynWTePubNm+f5fMSIEaSmpjJgwAD+8pe/cOeddwIdK2u5dNiJRUZG4ufn16q6Lisra1XNi9tz4w6WL8o2JiaGpqYmKisrv7DN1atXW23/2rVr3fJ39IMf/IB33nmHffv20adPH89yybv9mc1mBg4cyJgxY1i1ahUjR47ktddek6y94MSJE5SVlZGSkoK/vz/+/v4cOHCA//iP/8Df39+Th2TuHcHBwYwYMYJz5851yP1bCq1OzGw2k5KSQnp6eovl6enpTJgwwUe96hoSExOJiYlpkW1TUxMHDhzwZJuSkoLJZGrRpqSkhJycHE+b1NRUqqurOXbsmKfN0aNHqa6u7la/I6UUTz31FJs2bWLv3r0kJia2WC95e59SCrvdLll7wcyZMzl9+jTZ2dme15gxY3j44YfJzs6mf//+krkX2e12PvroI3r37t0x9+/bGjovOpwb0zv893//t8rLy1PPPPOMCg4OVpcuXfJ11zq82tpalZWVpbKyshSgXn31VZWVleWZGmP16tXKarWqTZs2qdOnT6vly5ff9BbhPn36qN27d6vMzEw1Y8aMm94inJycrDIyMlRGRoYaMWJEt7sd+4knnlBWq1Xt37+/xS3ZNpvN00bybj8//elP1cGDB9XFixfVqVOn1HPPPaeMRqNKS0tTSknWOnz2rkOlJPP29Oyzz6r9+/erCxcuqCNHjqiFCxeq0NBQz9+9jpa1FFpdwH/+53+qvn37KrPZrEaPHu25ZV58sX379img1evRRx9VSjXfJvz888+rmJgYZbFY1JQpU9Tp06dbbKOhoUE99dRTKiIiQgUGBqqFCxeqgoKCFm2uX7+uHn74YRUaGqpCQ0PVww8/rCorKzX9lB3DzXIG1FtvveVpI3m3n29961ueY0KvXr3UzJkzPUWWUpK1Dp8vtCTz9nNjXiyTyaRiY2PVkiVLVG5urmd9R8vaoJRSt3mWTgghhBBCfAUyRksIIYQQwkuk0BJCCCGE8BIptIQQQgghvEQKLSGEEEIIL5FCSwghhBDCS6TQEkIIIYTwEim0hBBCCCG8RAotIYQQQggvkUJLCCGEEMJLpNASQgghhPASKbSEEEIIIbzE39cdEEKIzmzatGkkJycTEBDAm2++idls5vHHH+eFF17wddeEEB2AnNESQoiv6S9/+QvBwcEcPXqUX//617z00kukp6f7ultCiA7AoJRSvu6EEEJ0VtOmTcPlcnHo0CHPsnHjxjFjxgxWr17tw54JIToCOaMlhBBfU3Jycouve/fuTVlZmY96I4ToSKTQEkKIr8lkMrX42mAw4Ha7fdQbIURHIoWWEEIIIYSXSKElhBBCCOElUmgJIYQQQniJ3HUohBBCCOElckZLCCGEEMJLpNASQgghhPASKbSEEEIIIbxECi0hhBBCCC+RQksIIYQQwkuk0BJCCCGE8BIptIQQQgghvEQKLSGEEEIIL5FCSwghhBDCS6TQEkIIIYTwEim0hBBCCCG85P8DupkL9uzmczIAAAAASUVORK5CYII=",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -88,10 +79,10 @@
     }
    ],
    "source": [
-    "histogram_naive = np.fromfile(\"output/histogram-naive.bin\", dtype=np.uint32)\n",
+    "histogram_naive = np.fromfile(\"output/runtime-naive.bin\", dtype=np.uint32)\n",
     "plt.plot(x, histogram_naive, color=CYAN, label=\"Naive\")\n",
     "\n",
-    "histogram_unblocked = np.fromfile(\"output/histogram-unblocked.bin\", dtype=np.uint32)\n",
+    "histogram_unblocked = np.fromfile(\"output/runtime-unblocked.bin\", dtype=np.uint32)\n",
     "plt.plot(x, histogram_unblocked, color=GREEN, label=\"Unblocked\")\n",
     "\n",
     "# Referance plot\n",
@@ -100,7 +91,8 @@
     "plt.grid(which='both', color='gray', linestyle='--', linewidth=0.5)\n",
     "plt.xlabel('n')\n",
     "plt.ylabel('ms')\n",
-    "plt.legend()"
+    "plt.legend\n",
+    "plt.grid(which='both', color='gray', linestyle='--', linewidth=0.5)"
    ]
   },
   {
@@ -108,37 +100,46 @@
    "id": "7a769706-fcd6-4d35-af85-a95fc76a990b",
    "metadata": {},
    "source": [
-    "In the last plot, the _Naive_ line represents the execution time of the same algorithm but taking $n_1 = 1$, while the _Unblocked_ line represents the unblocked version of `getrf`. We can thus see that the performance of the LAPACK implementation is roughtly equivalent to the naive implementation, while blocking affords us a $2 \\times$ speedup:"
+    "In the last plot, the _Naive_ line represents the execution time of the same algorithm but taking $n_1 = 1$, while the _Unblocked_ line represents the unblocked version of `getrf`. We can thus see that the performance of the LAPACK implementation is roughtly equivalent to the naive implementation, while blocking affords us a $2 \\times$ speedup. Surprisingly, this speedup doesn't seem be correlated with the [_cache miss ratio_](https://en.wikipedia.org/wiki/Cache_(computing)#Operation) of both implementation, as the ratio of the unblocked implementation is actually smaller than that of its blocked counterpart:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "id": "c07627c1-55f5-4662-83ce-9e147533f949",
+   "execution_count": 24,
+   "id": "451a3f62-3ddb-4d16-90d5-6dcafa000485",
    "metadata": {},
    "outputs": [
     {
      "data": {
+      "image/png": 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",
       "text/plain": [
-       "(np.float64(1.0831686294692071), np.float64(1.816507135050564))"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "execution_count": 3,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "rel_naive = ((histogram_naive + EPS)/(histogram_dgetrf + EPS))\n",
-    "rel_unblocked = ((histogram_unblocked + EPS)/(histogram_dgetrf + EPS))\n",
+    "histogram_cache_misses = np.fromfile(\"output/cache-misses.bin\", dtype=np.uint64)[1:]\n",
+    "histogram_cache_loads =  np.fromfile(\"output/cache-loads.bin\", dtype=np.uint64)[1:]\n",
+    "histogram_cache_ratio =  histogram_cache_misses/histogram_cache_loads\n",
+    "plt.plot(x[1:], histogram_cache_ratio, color=BLUE, label=\"LAPACK implementation\")\n",
     "\n",
-    "np.mean(rel_naive), np.mean(rel_unblocked)"
+    "histogram_cache_misses_unblocked = np.fromfile(\"output/unblocked-cache-misses.bin\", dtype=np.uint64)[1:]\n",
+    "histogram_cache_loads_unblocked =  np.fromfile(\"output/unblocked-cache-loads.bin\", dtype=np.uint64)[1:]\n",
+    "histogram_cache_ratio_unblocked =  histogram_cache_misses_unblocked/histogram_cache_loads_unblocked\n",
+    "plt.plot(x[1:], histogram_cache_ratio_unblocked, color=GREEN, label=\"Unblocked\")\n",
+    "\n",
+    "plt.xlabel('n')\n",
+    "plt.legend()\n",
+    "plt.grid(which='both', color='gray', linestyle='--', linewidth=0.5)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "977f63f0-ab58-4d5e-be20-6ba81044be2a",
+   "id": "59ad25e2-e430-4790-84af-5dc6d67142fd",
    "metadata": {},
    "outputs": [],
    "source": []

diff --git a/getrf/benchmark/build.sh b/getrf/benchmark/build.sh
@@ -1,15 +0,0 @@
-#!/bin/sh
-
-set -xe
-
-EXE_NAME="benchmark"
-LD_FLAGS="-L../../lapack -L/usr/lib -llapack -lrefblas -ltmglib -lgfortran -lm"
-C_FLAGS="-Wall -Wextra $LD_FLAGS"
-
-ctags -R .
-
-# debug version
-cc ./main.c -o "./target/$EXE_NAME-debug" $C_FLAGS  -fsanitize=address -g
-
-# release version
-cc ./main.c -o "./target/$EXE_NAME"       $C_FLAGS -O2        

diff --git a/getrf/benchmark/main.c b/getrf/benchmark/main.c
@@ -1,192 +0,0 @@
-#include <stdio.h>
-#include <stdlib.h>
-#include <pthread.h>
-
-#include <stdint.h>
-#include <stdbool.h>
-#include <time.h>
-
-#include <string.h>
-#include <errno.h>
-
-#include "progress-bar.h"
-#include "config.h"
-
-#define HISTOGRAM_SIZE              (MAX_N/STEP)
-#define CLOCKS_PER_MILLIS           (CLOCKS_PER_SEC/1000)
-#define LOGISTICS_INITIAL_CONDITION (-800.)
-
-uint32_t histogram[HISTOGRAM_SIZE];
-void (*getrf)(int *m, int *n, double *A, int *lda, int *ipiv, int *info);
-
-ProgressBar progress = {
-  .total = HISTOGRAM_SIZE,
-  .count = 0,
-  .mutex = PTHREAD_MUTEX_INITIALIZER,
-};
-
-// .data is a pointer because it should be allocated in the heap
-// (.data DOES NOT fit in the stack 🤡)
-typedef struct {
-  double  *data;
-  double  *ref_data;
-  int32_t ipiv[MAX_N];
-  size_t  id;
-} Thread;
-
-typedef struct {
-  Thread threads[N_THREADS];
-} Benchmarker;
-
-/*
- * LAPACK functions
- */
-extern void dgetrf_(int *m, int *n, double *A, int *lda, int *ipiv, int *info);
-extern void dgetrf2_(int *m, int *n, double *A, int *lda, int *ipiv, int *info);
-extern void dgetrfnaive_(int *m, int *n, double *A, int *lda, int *ipiv, int *info);
-
-uint32_t thread_run_benchmark(Thread *thread, size_t n)
-{
-  int64_t total_time = 0;
-  clock_t start, end;
-  int l_n, l_m, lda, info;
-
-  for (size_t i = 0; i < N_TESTS; i++) {
-    // Reinitializes the values in the .data array: this avoids progressively
-    // moving larger values to the beginning of the array, which would decrise
-    // decrease the number of row interchanges required for computations
-    memcpy(thread->data, thread->ref_data, sizeof(double)*n*n);
-    l_n = n; l_m = n; lda = n;
-
-    start = clock();
-    getrf(&l_m, &l_n, thread->data, &lda, thread->ipiv, &info);
-    end = clock();
-    total_time += (end - start)/CLOCKS_PER_MILLIS;
-  }
-
-  return (uint32_t)(total_time/N_TESTS);
-}
-
-void *thread_benchmark(void *arg)
-{
-  Thread *thread = (Thread*) arg;
-
-  // Computations are distributed evenly across threads
-  for (size_t n = 1 + thread->id*STEP; n < MAX_N; n += STEP*N_THREADS) {
-    uint32_t duration = thread_run_benchmark(thread, n);
-
-    histogram[(n - 1)/STEP] = duration;
-    progress_bar_inc(&progress);
-  }
-
-  return NULL;
-}
-
-Benchmarker benchmarker_new(double *ref_data)
-{
-  Benchmarker bench = {0};
-
-  // This array will live for the entire duration of the program,
-  // so we might as well leak it 🤡
-  double *data = malloc(sizeof(double)*MAX_N*MAX_N*N_THREADS);
-  if (data == NULL) {
-    fprintf(stderr, "ERROR: Buy more RAM!\n");
-    exit(EXIT_FAILURE);
-  }
-
-  for (size_t i = 0; i < N_THREADS; i++) {
-    bench.threads[i].data     = data + i*MAX_N*MAX_N;
-    bench.threads[i].ref_data = ref_data;
-    bench.threads[i].id       = i;
-  }
-
-  return bench;
-}
-
-void benchmarker_run(Benchmarker *bench)
-{
-  pthread_t handles[N_THREADS] = {0};
-  for (size_t i = 0; i < N_THREADS; i++) {
-    if (pthread_create(&handles[i], NULL,
-                       thread_benchmark,
-                       &bench->threads[i]) != 0) {
-      fprintf(stderr, "ERROR: Failed to spawn thread %lu!\n", i);
-      exit(EXIT_FAILURE);
-    }
-  }
-
-  for (size_t i = 0; i < N_THREADS; i++) {
-    pthread_join(handles[i], NULL);
-  }
-}
-
-int main(int argc, char **argv)
-{
-  const char *output_path;
-
-  if (argc < 2 || strcmp(argv[1], "standard") == 0) {
-    getrf = dgetrf_;
-    output_path = OUTPUT_DIR "histogram-dgetrf.bin";
-  } else if (strcmp(argv[1], "naive") == 0) {
-    getrf = dgetrfnaive_;
-    output_path = OUTPUT_DIR "histogram-naive.bin";
-  } else if (strcmp(argv[1], "unblocked") == 0) {
-    getrf = dgetrf2_;
-    output_path = OUTPUT_DIR "histogram-unblocked.bin";
-  } else {
-    fprintf(stderr, "ERROR: unknown command \"%s\"\n", argv[1]);
-    fprintf(stderr, "USAGE: %s [standard|naive|unblocked]\n", argv[0]);
-    exit(EXIT_FAILURE);
-  }
-
-  // ========================================================================
-  printf("INFO: Initializing random input data... ");
-
-  // This array will live for the entire duration of the program,
-  // so we might as well leak it 🤡
-  double *ref_data = malloc(sizeof(double)*MAX_N*MAX_N);
-  if (ref_data == NULL) {
-    fprintf(stderr, "ERROR: Buy more RAM!\n");
-    exit(EXIT_FAILURE);
-  }
-
-  // Pseudorandom data given by the logistic map
-  double acc = LOGISTICS_INITIAL_CONDITION;
-  for (size_t i = 0; i < MAX_N*MAX_N; i++) {
-    ref_data[i] = acc;
-    acc = 1000. - acc*acc/500.;
-  }
-
-  printf("done!\n");
-
-  // ========================================================================
-  printf("INFO: Benchmarking the dgetrf function on %ux%u matrices... (using %u threads)\n",
-         MAX_N, MAX_N, N_THREADS);
-
-  Benchmarker bench = benchmarker_new(ref_data);
-  benchmarker_run(&bench);
-
-  // ========================================================================
-  printf("INFO: Done with benchmarking! Saving histogram to disk...\n");
-
-  FILE *output = fopen(output_path, "w");
-
-  if (output == NULL) {
-    fprintf(stderr,
-            "ERROR: Coundn't open output file \"%s\": %s",
-            output_path, strerror(errno));
-    return EXIT_FAILURE;
-  }
-  size_t written = fwrite(histogram, sizeof(uint32_t), HISTOGRAM_SIZE, output);
-
-  if (written < HISTOGRAM_SIZE) {
-    fprintf(stderr,
-            "ERROR: Failed to write histogram to output file \"%s\": %s\n",
-            output_path, strerror(errno));
-    return EXIT_FAILURE;
-  }
-
-  printf("INFO: Done!\n");
-
-  return EXIT_SUCCESS;
-}

diff --git a/getrf/benchmark/output/cache-loads.bin b/getrf/benchmark/output/cache-loads.bin
Binary files differ.

diff --git a/getrf/benchmark/output/cache-misses.bin b/getrf/benchmark/output/cache-misses.bin
Binary files differ.

diff --git a/getrf/benchmark/output/histogram-dgetrf.bin b/getrf/benchmark/output/runtime-dgetrf.bin
Binary files differ.

diff --git a/getrf/benchmark/output/histogram-naive.bin b/getrf/benchmark/output/runtime-naive.bin
Binary files differ.

diff --git a/getrf/benchmark/output/histogram-unblocked.bin b/getrf/benchmark/output/runtime-unblocked.bin
Binary files differ.

diff --git a/getrf/benchmark/output/unblocked-cache-loads.bin b/getrf/benchmark/output/unblocked-cache-loads.bin
Binary files differ.

diff --git a/getrf/benchmark/output/unblocked-cache-misses.bin b/getrf/benchmark/output/unblocked-cache-misses.bin
Binary files differ.

diff --git a/getrf/benchmark/src/cache-ratio.c b/getrf/benchmark/src/cache-ratio.c
@@ -0,0 +1,219 @@
+#include <stdio.h>
+#include <stdlib.h>
+
+#define __USE_GNU
+#include <sched.h>
+#include <pthread.h>
+
+#include <stdint.h>
+#include <stdbool.h>
+
+#include <string.h>
+#include <errno.h>
+
+#include "progress-bar.h"
+#include "perf.h"
+#include "config.h"
+
+#define HISTOGRAM_SIZE              (MAX_N/STEP)
+#define LOGISTICS_INITIAL_CONDITION (-800.)
+
+// X-macros for defining variables for each perf event
+#define EVENTS  EVENT(loads) EVENT(misses)
+
+#define EVENT(name) uint64_t histogram_##name[HISTOGRAM_SIZE];
+EVENTS
+#undef  EVENT
+
+void (*getrf)(int *m, int *n, double *A, int *lda, int *ipiv, int *info);
+
+ProgressBar progress = {
+  .total = HISTOGRAM_SIZE,
+  .count = 0,
+  .mutex = PTHREAD_MUTEX_INITIALIZER,
+};
+
+// .data is a pointer because it should be allocated in the heap
+// (.data DOES NOT fit in the stack 🤡)
+typedef struct {
+  double       *ref_data;
+
+  // Input parameters for dgetrf
+  double       *data;
+  int32_t      ipiv[MAX_N];
+  int          n, m, lda, info;
+
+  size_t       id;
+  PerfRecorder recorder;
+} Thread;
+
+typedef struct {
+  Thread threads[N_THREADS];
+} Benchmarker;
+
+/*
+ * LAPACK functions
+ */
+extern void dgetrf_(int *m, int *n, double *A, int *lda, int *ipiv, int *info);
+extern void dgetrf2_(int *m, int *n, double *A, int *lda, int *ipiv, int *info);
+
+PerfResult thread_run_benchmark(Thread *thread, size_t n)
+{
+  // Reinitializes the values in the .data array: this avoids progressively
+  // moving larger values to the beginning of the array, which would decrise
+  // decrease the number of row interchanges required for computations
+  memcpy(thread->data, thread->ref_data, sizeof(double)*n*n);
+  thread->n = n; thread->m = n; thread->lda = n;
+
+  perf_start_recording(&thread->recorder, thread->id);
+  getrf(&thread->n, &thread->m, thread->data, &thread->lda,
+        thread->ipiv, &thread->info);
+  perf_stop_recording(&thread->recorder);
+
+  return thread->recorder.result;
+}
+
+void *thread_benchmark(void *arg)
+{
+  Thread *thread = (Thread*) arg;
+
+ // We need to lock the running thread to some CPU so that we can mask
+ // perf_event_open with this specific CPU
+  cpu_set_t set;
+  CPU_SET(thread->id, &set);
+  if (sched_setaffinity(0, sizeof(set), &set) == -1) {
+    fprintf(stderr, "ERROR: Could not lock CPU affinity for thread %lu\n",
+            thread->id);
+  }
+
+  // Computations are distributed evenly across threads
+  for (size_t n = 1 + thread->id*STEP; n < MAX_N; n += STEP*N_THREADS) {
+    PerfResult result = thread_run_benchmark(thread, n);
+    size_t i = (n - 1)/STEP;
+
+    histogram_loads[i]  = result.cache_loads;
+    histogram_misses[i] = result.cache_misses;
+
+    progress_bar_inc(&progress);
+  }
+
+  return NULL;
+}
+
+Benchmarker benchmarker_new(double *ref_data)
+{
+  Benchmarker bench = {0};
+
+  // This array will live for the entire duration of the program,
+  // so we might as well leak it 🤡
+  double *data = malloc(sizeof(double)*MAX_N*MAX_N*N_THREADS);
+  if (data == NULL) {
+    fprintf(stderr, "ERROR: Buy more RAM!\n");
+    exit(EXIT_FAILURE);
+  }
+
+  for (size_t i = 0; i < N_THREADS; i++) {
+    bench.threads[i].data     = data + i*MAX_N*MAX_N;
+    bench.threads[i].ref_data = ref_data;
+    bench.threads[i].id       = i;
+  }
+
+  return bench;
+}
+
+void benchmarker_run(Benchmarker *bench)
+{
+  pthread_t handles[N_THREADS] = {0};
+  for (size_t i = 0; i < N_THREADS; i++) {
+    if (pthread_create(&handles[i], NULL,
+                       thread_benchmark,
+                       &bench->threads[i]) != 0) {
+      fprintf(stderr, "ERROR: Failed to spawn thread %lu!\n", i);
+      exit(EXIT_FAILURE);
+    }
+  }
+
+  for (size_t i = 0; i < N_THREADS; i++) {
+    pthread_join(handles[i], NULL);
+  }
+}
+
+
+int main(int argc, char **argv)
+{
+#define EVENT(name) const char *output_path_##name;
+  EVENTS
+#undef  EVENT
+
+  if (argc < 2 || strcmp(argv[1], "standard") == 0) {
+    getrf = dgetrf_;
+#define EVENT(name) \
+    output_path_##name = OUTPUT_DIR "cache-" #name ".bin";
+    EVENTS
+#undef EVENT
+  } else if (strcmp(argv[1], "unblocked") == 0) {
+    getrf = dgetrf2_;
+#define EVENT(name) \
+    output_path_##name = OUTPUT_DIR "unblocked-cache-" #name ".bin";
+    EVENTS
+#undef EVENT
+  } else {
+    fprintf(stderr, "ERROR: unknown command \"%s\"\n", argv[1]);
+    fprintf(stderr, "USAGE: %s [standard|naive|unblocked]\n", argv[0]);
+    exit(EXIT_FAILURE);
+  }
+
+  // ========================================================================
+  printf("INFO: Initializing random input data... ");
+
+  // This array will live for the entire duration of the program,
+  // so we might as well leak it 🤡
+  double *ref_data = malloc(sizeof(double)*MAX_N*MAX_N);
+  if (ref_data == NULL) {
+    fprintf(stderr, "ERROR: Buy more RAM!\n");
+    exit(EXIT_FAILURE);
+  }
+
+  // Pseudorandom data given by the logistic map
+  double acc = LOGISTICS_INITIAL_CONDITION;
+  for (size_t i = 0; i < MAX_N*MAX_N; i++) {
+    ref_data[i] = acc;
+    acc = 1000. - acc*acc/500.;
+  }
+
+  printf("done!\n");
+
+  // ========================================================================
+  printf("INFO: Benchmarking the cache miss ratio of dgetrf on %ux%u matrices... (using %u threads)\n",
+         MAX_N, MAX_N, N_THREADS);
+
+  Benchmarker bench = benchmarker_new(ref_data);
+  benchmarker_run(&bench);
+
+  // ========================================================================
+  printf("INFO: Done with benchmarking! Saving histograms to disk...\n");
+
+#define EVENT(name) \
+  do { \
+    FILE *output = fopen(output_path_##name, "w"); \
+    if (output == NULL) { \
+      fprintf(stderr, \
+              "ERROR: Coundn't open output file \"%s\": %s", \
+              output_path_##name, strerror(errno)); \
+      return EXIT_FAILURE; \
+    } \
+    size_t written = fwrite(&histogram_##name, sizeof(uint64_t), HISTOGRAM_SIZE, output); \
+    if (written < HISTOGRAM_SIZE) { \
+      fprintf(stderr, \
+              "ERROR: Failed to write histogram to output file \"%s\": %s\n", \
+              output_path_##name, strerror(errno)); \
+      return EXIT_FAILURE; \
+    } \
+  } while(0);
+  EVENTS
+#undef EVENT
+
+  printf("INFO: Done!\n");
+
+  return EXIT_SUCCESS;
+}

diff --git a/getrf/benchmark/config.h b/getrf/benchmark/src/config.h

diff --git a/getrf/benchmark/src/perf.h b/getrf/benchmark/src/perf.h
@@ -0,0 +1,99 @@
+#ifndef PERF_H_
+#define PERF_H_
+
+#include <sys/syscall.h>
+#include <sys/ioctl.h>
+#include <unistd.h>
+
+#include <linux/perf_event.h>
+#include <linux/hw_breakpoint.h>
+
+#include <assert.h>
+
+typedef enum {
+  // Here we use L1-dcache-loads & L1-dcache-loads-misses instead of
+  // cache-misses & cache-references because the L1 data cache is the only
+  // CPU-specific cache accessible to perf: the LD cache is shared between
+  // cores
+  CACHE_LOADS = 0, /* L1-dcache-loads */
+  CACHE_MISSES,    /* L1-dcache-loads-misses */
+
+  PERF_EVENT_COUNT
+} PerfEvent;
+
+uint32_t perf_event_types[PERF_EVENT_COUNT] = {
+  [CACHE_LOADS]  = PERF_TYPE_HW_CACHE,
+  [CACHE_MISSES] = PERF_TYPE_HW_CACHE,
+};
+
+uint64_t perf_event_configs[PERF_EVENT_COUNT] = {
+  [CACHE_LOADS]  = PERF_COUNT_HW_CACHE_L1D
+                 | (PERF_COUNT_HW_CACHE_OP_READ << 8)
+                 | (PERF_COUNT_HW_CACHE_RESULT_ACCESS << 16),
+  [CACHE_MISSES] = PERF_COUNT_HW_CACHE_L1D
+                 | (PERF_COUNT_HW_CACHE_OP_READ << 8)
+                 | (PERF_COUNT_HW_CACHE_RESULT_MISS << 16),
+};
+
+const char *perf_event_str[PERF_EVENT_COUNT] = {
+  [CACHE_LOADS]  = "CACHE_LOADS",
+  [CACHE_MISSES] = "CACHE_MISSES",
+};
+
+static_assert(PERF_EVENT_COUNT == 2,
+              "We should add more filds for this structure"
+              "if we add more events");
+typedef struct {
+  uint64_t cache_loads;
+  uint64_t cache_misses;
+} PerfResult;
+
+typedef struct {
+  int fds[PERF_EVENT_COUNT];
+  union {
+    uint64_t   raw_result[PERF_EVENT_COUNT];
+    PerfResult result;
+  };
+} PerfRecorder;
+
+void perf_start_recording(PerfRecorder *pr, size_t cpu_id)
+{
+  struct perf_event_attr pe = {0};
+
+  for (size_t i = 0; i < PERF_EVENT_COUNT; i++) {
+    pe.type = perf_event_types[i];
+    pe.size = sizeof(struct perf_event_attr);
+    pe.config = perf_event_configs[i];
+    pe.disabled = 1;       // start disabled
+    pe.exclude_kernel = 1; // exclude kernel events
+    pe.exclude_hv = 1;     // exclude hypervisor events
+
+    int fd = syscall(SYS_perf_event_open, &pe, 0,
+                     (int)cpu_id /* only count events in this specific CPU */,
+                     -1, 0);
+    if (fd == -1) {
+      fprintf(stderr, "ERROR: Couldn't open perf event %s!",
+              perf_event_str[i]);
+      exit(EXIT_FAILURE);
+    }
+
+    pr->fds[i] = fd;
+    ioctl(fd, PERF_EVENT_IOC_RESET,  0); // reset the counter
+    ioctl(fd, PERF_EVENT_IOC_ENABLE, 0); // start counting
+  }
+}
+
+void perf_stop_recording(PerfRecorder *pr)
+{
+  for (size_t i = 0; i < PERF_EVENT_COUNT; i++) {
+    ioctl(pr->fds[i], PERF_EVENT_IOC_DISABLE, 0); // stop counting
+    if (!read(pr->fds[i], &pr->raw_result[i], sizeof(uint64_t))) {
+      fprintf(stderr, "ERROR: Coulnd't read perf counter for %s!\n",
+              perf_event_str[i]);
+      exit(EXIT_FAILURE);
+    }
+    close(pr->fds[i]);
+  }
+}
+
+#endif // PERF_H_

diff --git a/getrf/benchmark/progress-bar.h b/getrf/benchmark/src/progress-bar.h

diff --git a/getrf/benchmark/src/runtime.c b/getrf/benchmark/src/runtime.c
@@ -0,0 +1,192 @@
+#include <stdio.h>
+#include <stdlib.h>
+#include <pthread.h>
+
+#include <stdint.h>
+#include <stdbool.h>
+#include <time.h>
+
+#include <string.h>
+#include <errno.h>
+
+#include "progress-bar.h"
+#include "config.h"
+
+#define HISTOGRAM_SIZE              (MAX_N/STEP)
+#define CLOCKS_PER_MILLIS           (CLOCKS_PER_SEC/1000)
+#define LOGISTICS_INITIAL_CONDITION (-800.)
+
+uint32_t histogram[HISTOGRAM_SIZE];
+void (*getrf)(int *m, int *n, double *A, int *lda, int *ipiv, int *info);
+
+ProgressBar progress = {
+  .total = HISTOGRAM_SIZE,
+  .count = 0,
+  .mutex = PTHREAD_MUTEX_INITIALIZER,
+};
+
+// .data is a pointer because it should be allocated in the heap
+// (.data DOES NOT fit in the stack 🤡)
+typedef struct {
+  double  *data;
+  double  *ref_data;
+  int32_t ipiv[MAX_N];
+  size_t  id;
+} Thread;
+
+typedef struct {
+  Thread threads[N_THREADS];
+} Benchmarker;
+
+/*
+ * LAPACK functions
+ */
+extern void dgetrf_(int *m, int *n, double *A, int *lda, int *ipiv, int *info);
+extern void dgetrf2_(int *m, int *n, double *A, int *lda, int *ipiv, int *info);
+extern void dgetrfnaive_(int *m, int *n, double *A, int *lda, int *ipiv, int *info);
+
+uint32_t thread_run_benchmark(Thread *thread, size_t n)
+{
+  int64_t total_time = 0;
+  clock_t start, end;
+  int l_n, l_m, lda, info;
+
+  for (size_t i = 0; i < N_TESTS; i++) {
+    // Reinitializes the values in the .data array: this avoids progressively
+    // moving larger values to the beginning of the array, which would decrise
+    // decrease the number of row interchanges required for computations
+    memcpy(thread->data, thread->ref_data, sizeof(double)*n*n);
+    l_n = n; l_m = n; lda = n;
+
+    start = clock();
+    getrf(&l_m, &l_n, thread->data, &lda, thread->ipiv, &info);
+    end = clock();
+    total_time += (end - start)/CLOCKS_PER_MILLIS;
+  }
+
+  return (uint32_t)(total_time/N_TESTS);
+}
+
+void *thread_benchmark(void *arg)
+{
+  Thread *thread = (Thread*) arg;
+
+  // Computations are distributed evenly across threads
+  for (size_t n = 1 + thread->id*STEP; n < MAX_N; n += STEP*N_THREADS) {
+    uint32_t duration = thread_run_benchmark(thread, n);
+
+    histogram[(n - 1)/STEP] = duration;
+    progress_bar_inc(&progress);
+  }
+
+  return NULL;
+}
+
+Benchmarker benchmarker_new(double *ref_data)
+{
+  Benchmarker bench = {0};
+
+  // This array will live for the entire duration of the program,
+  // so we might as well leak it 🤡
+  double *data = malloc(sizeof(double)*MAX_N*MAX_N*N_THREADS);
+  if (data == NULL) {
+    fprintf(stderr, "ERROR: Buy more RAM!\n");
+    exit(EXIT_FAILURE);
+  }
+
+  for (size_t i = 0; i < N_THREADS; i++) {
+    bench.threads[i].data     = data + i*MAX_N*MAX_N;
+    bench.threads[i].ref_data = ref_data;
+    bench.threads[i].id       = i;
+  }
+
+  return bench;
+}
+
+void benchmarker_run(Benchmarker *bench)
+{
+  pthread_t handles[N_THREADS] = {0};
+  for (size_t i = 0; i < N_THREADS; i++) {
+    if (pthread_create(&handles[i], NULL,
+                       thread_benchmark,
+                       &bench->threads[i]) != 0) {
+      fprintf(stderr, "ERROR: Failed to spawn thread %lu!\n", i);
+      exit(EXIT_FAILURE);
+    }
+  }
+
+  for (size_t i = 0; i < N_THREADS; i++) {
+    pthread_join(handles[i], NULL);
+  }
+}
+
+int main(int argc, char **argv)
+{
+  const char *output_path;
+
+  if (argc < 2 || strcmp(argv[1], "standard") == 0) {
+    getrf = dgetrf_;
+    output_path = OUTPUT_DIR "runtime-dgetrf.bin";
+  } else if (strcmp(argv[1], "naive") == 0) {
+    getrf = dgetrfnaive_;
+    output_path = OUTPUT_DIR "runtime-naive.bin";
+  } else if (strcmp(argv[1], "unblocked") == 0) {
+    getrf = dgetrf2_;
+    output_path = OUTPUT_DIR "runtime-unblocked.bin";
+  } else {
+    fprintf(stderr, "ERROR: unknown command \"%s\"\n", argv[1]);
+    fprintf(stderr, "USAGE: %s [standard|naive|unblocked]\n", argv[0]);
+    exit(EXIT_FAILURE);
+  }
+
+  // ========================================================================
+  printf("INFO: Initializing random input data... ");
+
+  // This array will live for the entire duration of the program,
+  // so we might as well leak it 🤡
+  double *ref_data = malloc(sizeof(double)*MAX_N*MAX_N);
+  if (ref_data == NULL) {
+    fprintf(stderr, "ERROR: Buy more RAM!\n");
+    exit(EXIT_FAILURE);
+  }
+
+  // Pseudorandom data given by the logistic map
+  double acc = LOGISTICS_INITIAL_CONDITION;
+  for (size_t i = 0; i < MAX_N*MAX_N; i++) {
+    ref_data[i] = acc;
+    acc = 1000. - acc*acc/500.;
+  }
+
+  printf("done!\n");
+
+  // ========================================================================
+  printf("INFO: Benchmarking the dgetrf function on %ux%u matrices... (using %u threads)\n",
+         MAX_N, MAX_N, N_THREADS);
+
+  Benchmarker bench = benchmarker_new(ref_data);
+  benchmarker_run(&bench);
+
+  // ========================================================================
+  printf("INFO: Done with benchmarking! Saving histogram to disk...\n");
+
+  FILE *output = fopen(output_path, "w");
+
+  if (output == NULL) {
+    fprintf(stderr,
+            "ERROR: Coundn't open output file \"%s\": %s",
+            output_path, strerror(errno));
+    return EXIT_FAILURE;
+  }
+  size_t written = fwrite(histogram, sizeof(uint32_t), HISTOGRAM_SIZE, output);
+
+  if (written < HISTOGRAM_SIZE) {
+    fprintf(stderr,
+            "ERROR: Failed to write histogram to output file \"%s\": %s\n",
+            output_path, strerror(errno));
+    return EXIT_FAILURE;
+  }
+
+  printf("INFO: Done!\n");
+
+  return EXIT_SUCCESS;
+}