MDCmulti_timing.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Multi-dimensional convolution timing benchmarks - multiple virtual sources"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Author: M.Ravasi"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook perfoms multi-dimensional convolution with the same reflection response(s) used in the Marchenko redatuming examples with the aim of comparing the performance of the core operation with respect to *data size* and *number of compute resources*. \n",
    "\n",
    "Here, we consider the case with a multiple virtual sources."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The autoreload extension is already loaded. To reload it, use:\n",
      "  %reload_ext autoreload\n"
     ]
    }
   ],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "%matplotlib inline\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "import os\n",
    "import psutil\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import scipy as sp\n",
    "import pandas as pd\n",
    "import dask.array as da\n",
    "import zarr\n",
    "import pylops\n",
    "import pylops_distributed\n",
    "import scooby\n",
    "\n",
    "from datetime import date\n",
    "from timeit import repeat\n",
    "from scipy.sparse import csr_matrix, vstack\n",
    "from scipy.linalg import lstsq, solve\n",
    "from scipy.sparse.linalg import cg, lsqr\n",
    "from scipy.signal import convolve, filtfilt\n",
    "\n",
    "from pylops.basicoperators import *\n",
    "from pylops.waveeqprocessing.mdd       import MDC\n",
    "from pylops.utils.wavelets             import *\n",
    "from pylops.utils.seismicevents        import *\n",
    "from pylops.utils.tapers               import *\n",
    "from pylops.waveeqprocessing.marchenko import directwave\n",
    "from pylops.utils import dottest\n",
    "\n",
    "from pylops_distributed.utils import dottest as ddottest\n",
    "from pylops_distributed.basicoperators import Diagonal as dDiagonal\n",
    "from pylops_distributed.basicoperators import Identity as dIdentity\n",
    "from pylops_distributed.basicoperators import Roll as dRoll\n",
    "from pylops_distributed.waveeqprocessing.mdd import MDC as dMDC\n",
    "from pylops_distributed.waveeqprocessing.marchenko import Marchenko as dMarchenko\n",
    "from pylops_distributed.optimization.cg import cg as dcg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "def total_ram():\n",
    "    tmem = psutil.virtual_memory().total\n",
    "    return '{:.1f} GB'.format(tmem / (1024.0 ** 3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "os.environ[\"STORE_PATH\"] = \"/project/fsenter/mrava/Marchenko3D/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "client = pylops_distributed.utils.backend.dask(hardware='multi', client='be-linrgsn085:8786')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table style=\"border: 2px solid white;\">\n",
       "<tr>\n",
       "<td style=\"vertical-align: top; border: 0px solid white\">\n",
       "<h3>Client</h3>\n",
       "<ul>\n",
       "  <li><b>Scheduler: </b>tcp://be-linrgsn085:8786\n",
       "  <li><b>Dashboard: </b><a href='http://be-linrgsn085:8787/status' target='_blank'>http://be-linrgsn085:8787/status</a>\n",
       "</ul>\n",
       "</td>\n",
       "<td style=\"vertical-align: top; border: 0px solid white\">\n",
       "<h3>Cluster</h3>\n",
       "<ul>\n",
       "  <li><b>Workers: </b>8</li>\n",
       "  <li><b>Cores: </b>96</li>\n",
       "  <li><b>Memory: </b>1.08 TB</li>\n",
       "</ul>\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<Client: scheduler='tcp://10.224.36.108:8786' processes=7 cores=84>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "client.restart()\n",
    "client"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Nworkers 8\n",
      "Ncores 96\n"
     ]
    }
   ],
   "source": [
    "nworkers = len(np.array(list(client.ncores().values())))\n",
    "ncores = np.sum(np.array(list(client.ncores().values())))\n",
    "print('Nworkers', nworkers)\n",
    "print('Ncores', ncores)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Inputs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "Input parameters "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# MDC parameters\n",
    "vel = 2400.0        # velocity\n",
    "nfmax = 300         # max frequency for MDC (#samples)\n",
    "darea = 1           # areal extent for spatial integration (not needed here...)\n",
    "nvs = 50            # number of virtual sources\n",
    "subsampling = 8     # subsampling of src-recs compared to original data\n",
    "ffirst = True       # frequency in first axis of zarr file\n",
    "rechunk = True      # rechunk R\n",
    "rebalance = True    # rebalance R across nodes\n",
    "\n",
    "# Timing parameters\n",
    "nrepeat = min(2, subsampling+1)\n",
    "ntime = min(5, subsampling+1)\n",
    "\n",
    "    \n",
    "inputfile_aux = os.environ[\"STORE_PATH\"]+'3DMarchenko_auxiliary_2.npz' \n",
    "zarrfile = os.environ[\"STORE_PATH\"]+'input3D_sub%d%s.zarr' % \\\n",
    "    (subsampling, '_ffirst' if ffirst else '')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load auxiliary input (contains sources, recs, virtual source etc.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "inputdata_aux = np.load(inputfile_aux)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Read and visualize geometry"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1296x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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o9qaFvK1ugWXpyfM6c2CX0B4+axNasc6bHMjbqng1x/ywpjoH8rYqXs0xP6ypzkEC2rUXS4V2Gc3eUHCmLVvUbe91zlaDfZFktTct5L3qqrXWRatdhLPvgl0H9pUUsDajFet8yYG8rY5Xc8wPa5pzIG+r49Uc88Oa5hwkoV17sVRoR9T0ovenn346iPam+/fvt2x2kV23alWKWJvfijW9OZC3tfBqjvlhTWcO5G0tvJpjfljTmYPmezuXVGhXocJF7yG0N53mTQsrJG+zhrz1w1qJNwmshbxpYVUO4vHKW3+8aWFVDuLxhuBtscoV2g1twR6C2tvbTz0Oob3pNG86WJPTijV9OZC3cXnTwaocxOWVt/5408GqHMTlDcHbqlSqAg95xLmjPa1a25s2Y0NBzaxN2FAQpxWrvK2GNcXehsSqHFTJK2/98WqO+WFNcQ7kbWShpSPVa8Zu2NaF1sU5dh7YAFO7dx/K//eKJGwoqJW1GRsKindFw7etE2c9edYxkrVZQ94mz9uQWJWD6njlrT9ezTE/rGnOgbyNrnKFtpaOlNALzz/PpqEhnnr2WdatG2TSnYDlK3gDuBp4KX9dG3AQ+BDwYy5jAjh69EtMTBw4NXK5T7J+/Q1ks9kEsY7ypn2VtzEmJ7/QMN5C1jVr1pLJbOaawVFWDQ3RDfwozzmbV95Ww5peb0NiVQ6q5ZW3/ng1x/ywpjcH8rZuKlWBhzzqcUe7UFHbmyZhgX41rVibzVtNK9Zmsxbzylt/vGlhVQ7i8cpbf7xpYVUO4vHK2/oJLR2Jr8rtTT+QmI5L0VqxHkoEb7RWrPI2Dmt53pC8DYlVOYjLK2/98aaDVTmIyytv6ycV2nVSrRsKzujpsTtuu80LUzTW6jYUNJ9X3vrjDcnbkFiVA3+s8lasyoFfVnkbV+UK7Vbva1NSpF27dvHGsWPc3d/P0cNv0X5iKWfyHF8GcsBmJgF4lAleAV4DNrsMx/v6WLVuHQcOHJj1mR0dHSxbtswra+5IjuO5MVq5gm0YOeBBJtiUv7aYN9fby/rh4Vm8vliLeeWtP95qvA2JVTmojlfe+uPVHPPDmuYcyNvqeJM+x2apVAUe8vB1R3t2e9MBO2/5CjsN7Bqw+8CmFwdNdzHKtmSts/MsayHT1FasmcxyGxzcZKNDQ9YDtrWAtZC3s6WzKa1N5W2yvA2JVTmojVfe+uPVHPPDmsYcyNvaeJM2x9DSkfqrmg0F8KBB81uxRtlQ0GzWYl556483PazKQRxeeeuPNz2sykEcXnnrjzcprCq0PSnahoLm79wtZK3EmwTWQl556483LazKQTxeeeuPNy2sykE8XnnrjzcprCq0Pap4Q0ErQ7aQVnsArI12gxebvhu2Gt42FgTDKm/Fqhz4ZZW3YlUO/LLK23SwqtD2qOIuRi1ssHamOhQ5sAV0JKpd6IwOUW6BZenJ8zpzYJfQPjdrE1qxytvGeBsSq3LgjzXV3obEqhxUxStv/fFqjkWXCm2Pmr1A/0xbtqjb3uucrQb7IslqF1rIe9VVa62LVrsIZ98Fuw7sKyVYm9GKVd42xtuQWJUDf6xp9jYkVuWgOl55649Xcyy6VGg3SNML9J9++mm7+YYbrI+p3a8Fi4NO7YZt4zJLwoaCbHaRXbdqVQXWUYMHmsorb8U6zaoc+GNNp7chsSoHtfDKW3+8mmPRpEK7gSrcUJDkdqHFvElvxVrIWok3CayFvCF5GxJrJd4ksBbyylt/vGlhVQ7i8cpbf7xpYfWVg3KFdibeKdxSsdrb2089HuhbxCA5DgKfppWDwCDH6SJLjie4H8jxOPA6AC0t97J69SpWrFjRcN7SrN3A4UTwyluxFrKW51UO4rCW5w3J25BYlYO4vPLWH286WJuUg1IVeMijmXe0p5X0dqGlWdWK1R9rsr0NiXU2r3Lgjzckb0NiVQ78scpbsTY2B6gFe+OlVqzJa8Uqb9PDWsyrHPjjDcnbkFiVA3+s8lasicpBqQo85JGEO9pqxZqsVqzyNl2sc/EqB/54Q/I2JFblwB+rvBVrI3OANkM2V2rF2hheeTs/WYt5lQN/vCF5GxKrmXLgi9VM3orVfw5UaCdAasXqn1fezl/WQl7lwB9vSN6GxFqJNwmshbzy1h9vSN6GxFqJNy6rCu2ESK1Ym8cqb8WqHPhlTZK3IbFG4VUO/PHK2/SzRuGNm4N5X2i/9NJLc7ba3Ldvn1qxRuRtdnvTalhT7W1IrMpBVbzydn6yFvMqB/545e38ZC3m9ZGDeV1oT0xMWEtLq3V2LpuxwD2bfUfTF+mntRWr2txWx6s2t35Y05wDeZse1mJe5cAfr7ydn6zFvD5yMK8LbTOzoaFPWGvrbxesuzFLyiL99LViVZvbWnjV5tYPazpzIG/TyjrNqxz445W385t1mrfeOZj3hfb+/futo6PPptfdQPIW6au9qR/WSrxJYC3kTQurchCPV97OX9ZCXuXAH6+8nb+shbz1ykG5QntetGA/99xzWbXq47S23pd/Rq1Y4/Amrr1pGdbyvCF5GxKrchCXV97OX9ZCXuXAH6+8nb+shbwNyUGpCjzkUXxH+/Zbb7UzurutC2dZeqyDhWrFWhdWtbkVq3Lgl1XeilU58Msqb8UaPwfM9xbsd372s3zvO9/hjDff5GtvH6EPWJp/Ta1Ya2dNTHvTiLzVeBsSq3JQHa+89cerOeaHNc05kLfV8WqO+WGtKgeZDCxbxtbPfCbaF5WqwEMec52jffTo0YqL9NWKtXrWNLa5DYlVOaiNV97649Uc88OaxhzI29p4Ncf8sEbJQR/YLaOjduzYsRmfxXzfDFkotWL1w2qWJm9DYlUO4vDKW3+86WFVDuLwylt/vOlhDScHF1xw0ZzvV6FdILVi9cNaiTcJrIW8aWFVDuLxylt/vGlhVQ7i8cpbf7xpYQ0pB9dcfvmc71WhnZdasTaPNyRvQ2JVDvyxyluxKgd+WeWtWEPLQXd7u01OTs56jwrtvNSKNYHtTUNiVQ6q4pW3/ng1x/ywpjoH8rYqXs0xP6yh5aCtrcfgp9bW1mNn9/ebA3v00UdnvUeFdl5qxZq89qYhsSoH1fHKW3+8mmN+WNOcA3lbHa/mmB/W0HIwvUlyePgmO3LkiN04NGT33XvvrPeo0J5DasXql1ctxf2wpjMH8rYWXs0xP6zpzIG8rYVXc8wPa2g5KNwkWUoqtEtIrVj986aFVTmIxytv/fGmhVU5iMcrb/3xpoVVOYjPW0rlCu150YK9lNSK1T9vOliVg7i88tYfbzpYlYO4vPLWH286WJWDevDWpFIVeMgj6h1ts3gtOJuxSL/W9qZBsTZhs8a8yYG8rZJXc8wPa4pzIG+r5NUc88Oa4hw0wdtKQktHSmv27tJvWyfOepjaDTtGshbpz9hp3LrQujjHzgMbyPM+lALWZmzWmC85kLfV8WqO+WFNcw7kbXW8mmN+WNOcg2Z4W0nlCu15vXQE4IXnn2fT0BBPPfssa9asJZPZzDWDo6waGqIb+BHQlr+2DTgIfAj4MZcxARw9+iUmJg6cGrncJ1m//gay2ax33nXrBpl0J2D5Ct4ArgZeCp51lDftq7yNMTn5hYbxzo8cyNtqeTXH/LCmNwfytlpezTE/rOnNQXO8jaVSFXjIo5o72oWqphVrEhbpR21vGhIrNH+zRlpzIG/j8aaFVTmIxytv/fGmhVU5iMebdG/nElo6El3RWrF+IDFdjCq3Nw2J9XKDQ4ngTV8O5G1c3nSwKgdxeeWtP950sCoHcXlD8LZYKrRrUK2L9M/o6bE7brst9vfPD9bqNms0n1fe+uMNyduQWJUDf6zyVqzKgV/W5Hs7rXKFdqv3tSmBateuXbxx7Bh39/dz9PBbtJ9Yypk8x5eBHLCZSQAeZYJXgNeAzS5DrreX9cPDHDhwYMbndXR0sGzZskSxHu/rY9W6dbNYffIWsuaO5DieG6OVK9iGkQMeZIJN+Wvlbe2safY2JFbloDpeeeuPV3PMD2uacyBv66RSFXjIox53tGe3DB2w85avsNPArgG7D2x6cdB0F6POls6m7ISthTXbkrXOzrOshUxTW7FmMsttcHCTjQ4NWQ/Y1gJWeRuPNY3ehsSqHNTGK2/98WqO+WFNYw7kbXVCS0fiKfoi/QcNktMutNKGgmbzVrNZo9msxbzy1h9veliVgzi88tYfb3pYlYM4vPK2flKhXQdFWaSflJ2w0TYUJGPnbrTNGvI2Dmsl3iSwFvKmhVU5iMcrb/3xpoVVOYjHK2/rJxXadVLxIv1WhmwhrfYAWBvt1saCxOyErcQKLyZq5668bR5vSN6GxKoc+GOVt2JVDvyyytvqpEK7TprRxcgtsCw91g7WhTMHdgntZiSjXWhxh6gWNuRZpzouLaAjUa1Y5W0CvQ2JVTmoilfe+uPVHPPDmuocyNuqeJM4x1Ro10mFi/SvumqtddFqF+Hsu2DXgX0FzEhGu9DZmx/OtGWLuu29ztlqsC+SrFas8jZ53obEqhxUxytv/fFqjvlhTXMO5G11vEmcYyq0PWj//v2WzS6y61atsj6mdr4WLAw6tRO2jVGDBywJGwqefvppu/mGGyrwXtZU1mleeeuPN5q3IbEqB7Xwylt/vJpjfljTmQN5Wwtv0uaYCm1Pml6kH0K70MINBUlvxVrIK2/98TaLde/evbZ923a7/ebbbfu27TY+Ph6LVTmIxytv/fGmhVU5iMcrb/3xJoW1XKGdiXcK9/xWe3s7AAN9ixgkx0Hg07RyEBjkOF10A4fJ8QT3AzkeB14HoKXlXlavXsWKFSsaylqeN5sI1kJeeeuPt9Gs+/bt432/+D6u/uWrOXD3AVr/oJUDdx/gqg9cxft+8X3s27evBlblIC6vvPXHmw5W5SAur7z1xxsCa9PvPvsYjbqjbRZeu1C1Ym0Ub0je+mf9yU9+Ykt7ltqd7k7bwx77r/zXU2MPe+xOd6ct7VlqP/nJTyqwKgf+WOWtWJUDv6zyNq2sNKMFu3Pua8C1wCtmdkH+uV7gz4CzgQPAkJkdds454D7gamAS+ISZ7c2/50bgN/Mf+yUz2+mLuRaF1i5UrVjlbTNYN123iZGfj7DaVs96rYWWqed/DjcO3cj/+MH/KMmqHPhjTbO3IbEqB9Xxylt/vJpjdVKpCjzuAD4IXAz8qOC5e4DfyD/+DeDu/OOrgb8BHHAZ8L38873Ac/k/T8s/Pq3SdzfyjnZo7ULVilXeNpp17969tiy7bNad7OKxhz22LLts1ppt5UBzrBSvWor7YU1jDuRtbbyaY9FEszZDMnXnurDQ3geckX98BrAv//j3gY3F1wEbgd8veH7GdaVGIwvtQoXULrSYV61Y/fGG5K0P1u3bttv1mevLFtnTYyQzYtu3bY/EaqYc+GI1S5O3IbEqB3F45a0/3vSw+slBkgrt14teP5z/86+AXy54/tvApcBngd8seP7zwGdLfNdtwOPA4wMDAzUZVQ+F0i60mFetWP3xhuStD9bbb77dPsWnIhXaW9hid9xyRyTWSrxJ8LWQN6QcVOJNAmshb1pYlYN4vPLWH29aWH3lIIRC+6/nKLQvAX59jkL7M5W+t1l3tAuV9Hah1bCqFas/1iR564u1nne0q+FVDvzxhuRtSKzKgT9WeStWnzlIUqGd6qUjhVIr1gS2YpW3TWEdHx+30ztOj7RGe2nH0rLnapfiVQ788YbkbUisyoE/Vnkr1kbnIEmF9u8wczPkPfnH1zBzM+T388/3Aj9laiPkafnHvZW+NwmFtlqxJq8Vq7xtHmtve69tZWvZQnsrW62vo68mXuXAH29I3obEqhz4Y5W3Ym10DppSaAN/ArwEHAf+N3Az0JdfFrI//2dv/loH/C7wLPBD4NKCz9kMPJMfN0X57iQU2oVSK1a/vPI22ax79+61JR1LrJdeu5MS52hzp/XSa0s6lkS+o13Mqxz44w3J25BYlQN/rPJWrI3MQdPuaDdrJK3QNlMr1kbwyttksk6v0d7JTlvJSuun30YYsS1ssRFGrJ9+W8lK28nOqtZol+JVDvzxhuRtSKyVeJPAWsgrb/3xhuRtSKyVeOOyliu01YK9QVIrVv+88jaZrIdeOUTv270MMP9y6/IAACAASURBVMD93M9d3EULLbzIi7TQwl3cxf3czwAD9L7dy+FXD8fiVQ788YbkbUis5XmVgzis5Xnl7XxhLc/rOQelKvCQRxLvaJupFWvjWOVtklh9nTpSmVU58MeabG9DYp3Nqxz445W385F1Nm/9c0AzWrAnSS+//DJHjx6d9Xwul6OtrW3W82rFOps30e1NmT/ehsQ6nYOTJ08y9m/GuOnYTbTQUvJ7TnKSPW172DW0qy6sac6B5lh6WIt5lQN/vPJ2frIW8zY8B6Uq8JBH4R3tiYkJa2lptc7OZTN2kmaz71Ar1ip51ebWH2/q29zSVfdTR6KwpjEHmmPpYp2LVznwxytv5x/rXLz1zgHzfTPk0NAnrLX1t23m37tasdbKqza3/njTw1qYg89bF35PHanEapamHGiOpZW1mFc58Mcrb+cnazFvvXIw7wvt/fv3W0dHn013AILk7YZVe1M/rJV4k8BayJsW1sIctPNOG8b/qSPlWCvxhuqt5lj6WAt5lQN/vPJ2/rIW8tYrB/O+0DYrvqt9SK1YPbGqza1Yi3PQQbt9ik+duoM9xpiNMmprWWujjNoYY6de28IWu+OWOxrOG6q3IfCG5G1IrMqBP1Z5K9ZqczDvC+3bb73Vzujuti6cZemxDhaqFWsdWFPd5jYk1oTn4N202QY2NOTUkSi8afI26NyGxKocVMUrb/3xao75Ya02B8Wnkcz7Qnvfvn128fnn28WZjD3JVMtNtWKNz5rmNrchsSY9B98HW0r3rLXZxWMPe2xpx9K6rdEuxZsmb0PObUisykF1vPLWH6/mmB/WanJwcSZjF59/vu3bt+/UZ837Qttsaj2OWrHWnzWdbW5DYg0jB4vJNuTUkai8afI2zNyGxKoc1MIrb/3xao75YY2Sgz6wW0ZH7dixYzPer0K7QGrF6oe1Em8SWAt508IaQg72gnXT1fBTR6Lwhu5tqLkNiVU5iMcrb/3xpoU1pBxccMFFc763XKE971qwqxWrH9byvCF5GxJrGDn4Go5ruZYd7GA3u9nIRsYY4xEeYYwxNrKR3exmBzu4MnclDz/0cMN4Q/c2zNyGxKocxOWVt/5408EaVg6W93VX/8GlKvCQR6k72rW24GzGIv047U2bsQGiZm9DYlUOquSd8jbLgqpOHRkdHpW3FXk1x/ywpjgH8rZKXs0xP6yh5WDmaSTd7e02OTk56z1o6ciUZuyGbV1oXZxj54ENMLXD9KH8fx5IwiL94t2w8G3rxFlPnnWMZG3WqNXbkFiVg+p4p73tw9kGhiOdOjLMsLW1Lpa3FXg1x/ywpjkH8rY6Xs0xP6yh5WCK96fW1tZjZ/f3mwN79NFHZ72nXKE9r5aOvPD882waGuKpZ59l3bpBJt0JWL6CN4CrgZfy17UBB4EPAT9mlDftq7yNMTn5BSYmDpwaudwnWb/+BrLZrFfWNWvWksls5prBUVYNDdEN/CjPOZv3MiaAo0e/1DDWYt7o3obEqhxUyzvtbdcZZ/Et/oaTnCz73pOc5FvsIXfiv8rbCryaY35Y05sDeVstr+aYH9bQcjDF+yusXbuOHzzzDJuGhnj+4MHqPrBUBR7yKLcZclrVtOBs9iL9atqbNpu1mDctrMpBPN4u1xXp1JEuFsrbKnnTwqo5Fo9X3vrjTQurchCft5TQ0pG5Fa0FZzK6SEZrb/qBRLAW8qaDVTmIw7t3717rdosinTrSRZfBd+RtFbzpYNUci8srb/3xpoNVOagHbymp0C6jOIv0izsDNUK1boAQazWsykE99bnPfs42MGw72WkrWWn99NsII7aFLTbCiPXTbytZaTvZaRsYtgW0y9vUs2qO+WOVt2JVDhqtcoV2a20rWNKjXbt28caxY9zd30/uSI7juTFauYJtGDngQSbYlL/2USZ4BXgN2Owy5Hp7WT88zIEDB2Z8ZkdHB8uWLfPOe/TwW7SfWMqZPMeXgRywmcngWY/39bFq3bpZrD5550sOmuHtD8d/yLmcywAD3M/9PMMzfIfv8CIvspCF3MVdnMu5ACyhnxHe5tMcCc7bkFg1x6rjlbf+eDXH/LCmOQfN8DaWSlXgIY9q7mgXt+DMZJbb4OAmGx0ash6wrWCFa4emOxl1tnQ2fOfuXLzODdh5y1fYaWDXgN0XOGu2JWudnWdZC5mmtmJNYw6a5e2VV1xpG9kY6dSREYbtRlxw3obEqjlWG6+89cerOeaHNY05aJa3lYSWjkRTNYv04UGD5rc3jbYBIiRWazpvenPQHG/Hx8ft9I7TZ63NLh572GNLWWTvpzVAb0Ni1RyLwytv/fGmh1U5iMObdG/nkgrtKhRtkf7lidgNW8ibFlZo/q7oQtZKvElgLeRNqre97b2RTh3pJRuktyGxao7F45W3/njTwqocxOMNwdtiqdCuQeU6A7XRbm0sSMRu2LSxwouJ2WkchVfeVtbevXttSceSyKeObAvQ25BYNcf8scpbsSoHflmT5u20VGjXoBldl9wCy9Jj7WBdOHNgl9BuRjLahdbM2oRWrMUdl1rYkGed6hC1gI5EtWKVt/FZt2/bbtdnro906sgww9amOVY31iTlIAqvvPXHq99jflhTnQN5G1kqtGtQ4SL9q65aa1202kU4+y7YdWBfATOS0S60VtZmtGKdvfnhTFu2qNve65ytBvsiyWrFKm/js95+8+32KT516g72GGM2yqitZa2NMmpjjJ16bQtbbB0LNMfqxJqkHEThlbf+ePV7zA9rmnMgb6NLhXZM7d+/37LZRXbdqlXWx9Tu14KFQad2w7ZxmTV7gX501lGDB5rKO7354emnn7abb7hB3taZNSneTt/RjnLqyAY2WDb/C0A5qA9rUnIQlVfe+uPV7zE/rOnMgbytRiq066DpRfpJbxcalRWSsaGgcLOGvPXDWonXN2tVp450LLVzzjlfOfDAWok3CayFvPLWH29aWJWDeLzytn4qV2hn4p7DPV/U3t4OwEDfIgbJcRD4NK0cBAY5ThdZcjzB/UCOx4HXAWhpuZfVq1exYsWKBLF2A4cTwTvNWp5X3sZhLc/r39sLL7yQ43acx3is7HWP8RgnOcn57zhdOfDAWp5X3sZhLc8bkrchsSoHcXnlbYNUqgIPefi4o20WVrtQtWJtFKu8raRqTh3pa++zrgULlAPvvPLWH29I3obEqhz4Y5W3cYVasNdHIbULVStWeTsXbzPaHT/y54/w0dxHuZIruYd7+Abf4CN8hF56OcQhdrObpSxlBzv4z7n/zJ/anyoHHqQ5ljxvQ2JVDqrjlbf+eJM+x2apVAUe8vB1RzukdqFqxSpvS/E2ut1xtaeOvOdd5ysHHqQ5lixvQ2JVDmrjlbf+eJM2x9BmyPorpHahasXaGFazNHlbP9bt27bbSGYk0qkjI5kR275te5WsykEcXnnrjzc9rMpBHF556483KawqtD0ppHahasXqn7USbxJYC3kbxTo+Pm6L3eJIp44sdottfHy8KlblIB6vvPXHmxZW5SAer7z1x5sUVhXaHhVau1C1Ym0eb0je1pN17969tsgtsq1sLVtob2WrLXKLZhTaUViVA3+s8lasyoFfVnmbDlYV2h4VWrtQtWKVt41m3b5tu33cfTzSqSPXumtPLR2Zi1U58Meaam9DYlUOquKVt/54NceiS4W2R4XWLlStWOVto1mnN0PuZKetZKX1028jjNgWttgII9ZPv61kpe1kp21hi91xyx0lWZUDf6xp9jYkVuWgOl55649Xcyy6VGg3SCG1C53mVStWf7wheeuTtbgFe7lTRwo3Q5ZiVQ78sabT25BYlYNaeOWtP17NsWhSod1AhdIutJhXrVj98YbkrQ/WaluwF6/RLsVaiTcJvhbyhpSDSrxJYC3kTQurchCPV976400Lq68clCu01YK9zgqtXahasfrnDclbH6zVtmC/8MILI7GW51UO4rCW5w3J25BYlYO4vPLWH286WJuUg1IVeMijmXe0p5X0dqGlWdWK1R9rsr31xVpNC/YlHUsq3tGem1c58McbkrchsSoH/ljlrVgbmwPUgr3xUivW5LVilbfNYa2mBfuu3C4efujhine1i3mVA3+8IXkbEqty4I9V3oo1UTkoVYGHPJJwR1utWJPVilXeNo/11htvraoFe/GpI1F5lQN/vCF5GxKrcuCPVd6KtZE5QJshmyu1Ym0Mr7xNJmvxqSNRW7DXyqsc+OMNyduQWM2UA1+sZvJWrP5zoEI7AVIrVv+88jaZrPU+daQSr3Lgjzckb0NircSbBNZCXnnrjzckb0NircQbl1WFdkKkVqzNY5W3zWXtbe+N1IK9r6PPK6ty4I81Sd6GxBqFVznwxytv088ahTduDuZ9of3SSy/N2Wpz3759asUakbfZ7U2rYU21tyGx5nPwV3/1V9bX3lf3U0cqsaY6B5pjqWEt5lUO/PHK2/nJWszrIwfzutCemJiwlpZW6+xcNmOBezb7jqYv0k9rK1a1ua2ON+1tbttae2wDGyK1YK91jfZcrGnOgeZYeliLeZUDf7zydn6yFvP6yMG8LrTNzIaGPmGtrb9dsO7GLCmL9NPXilVtbmvhTXOb2wV8yMupI1FY05kDzbG0sk7zKgf+eOXt/Gad5q13DuZ9ob1//37r6Oiz6XU3kLxF+mpv6oe1Em8SWAt508JamIN23mnD+D11pBJrJd5QvdUcSx9rIa9y4I9X3s5f1kLeeuWgXKE9L1qwn3vuuaxa9XFaW+/LP6NWrHF4E9fetAxred6QvA2JdWYO3uYl/obdnORk2c89yUn2tO1hcGiw7qzlecP1VnMsfayFvMqBP155O39ZC3kbkoNSFXjIo/iO9u233mpndHdbF86y9FgHCxO1SL/W9qbN2KwRp71pUN6GxBpADrJ0NeTUkWi86fI22NyGxKocVMkrb/3xao75YY3Xrp35vnRk3759dvH559vFmYw9ydRC9yQt0p+xG7Z1oXVxjp0HNsDU7t2HSrA2Y7NG8U5j+LZ14qwnzzqWEm9DYk16Dr4H1kdXpFNH+tr7Yp06EoU3Td6GnNuQWJWD6njlrT9ezTE/rNXk4OJMxi4+/3zbt2/fqc8qV2jPi6Uj5513Hv/9Bz/gopERPgwcBNryr7Xlf/4Q8GMuYwI4evRLTEwcODVyuU+yfv0NZLNZL3wvPP88m4aGeOrZZ1m3bpBJdwKWr+AN4GrgpTlZR3nTvsrbGJOTX2gYbyHrmjVryWQ2c83gKKuGhugGfkQavA2JNfk5+EscH+VadrCD3exmIxsZY4xHeIQxxtjIRnazmx3s4KPHP8rDDz3slTdN3oab25BYlYNqeeWtP17NMT+sUXPwYeDi66/n7596ivPOOy/aF5WqwEMe5RrWJH2RfjXtTZvNW01702azFvOmhTWEHNzOgqacOhKFN3RvQ81tSKzKQTxeeeuPNy2sIeXgggsumvP9zPelI4Uq3YLzA4npYhStvemhRPBGa28akrchsYaRgy04G2G4KaeOVOIN3dswcxsSq3IQl1fe+uNNB2tYObjm8svnfK8K7bxqXaRfvOi9EarnIv3G84bkbUisYeagE6yP7llrs4vHHvbY0o6lXtZoV2YN09swchsSq3Lgj1XeijXEHMxs197d3m6Tk5Oz3lOu0G6tflVLuNq1axdvHDvG3f39HD38Fu0nlnImz/FlIAdsZhKAR5ngFeA1YLPLcLyvj1Xr1nHgwIFZn9nR0cGyZcu8suaO5DieG6OVK9iGkQMeZIJN+WuLeXO9vawfHp7F64u1mLcab0NiVQ6q45329iye40VO8BiPsYY1Jd/7GI9xwk6wePHiGczydjav5pgf1jTnQN5Wx6s55oc1tBzkjuQ4kbubXNsu7ulp441XX2XXrl2sWVP6d9kslarAQx6l7mjPbhk6YOctX2GngV0Ddh/Y9Fqc6c5A2ZasdXae1fR27ZnMchsc3GSjQ0PWA7a1gLWQt7Ols+E7d+fijeJtSKzKQW28zg3YwBnvsIURTx3pYqF1dJwhbyPwao75YU1jDuRtbbyaY35YQ8tBJrPchodvsiNHjtiNQ0N23733znoPWjoyW9Us0k9Ku/YomzWazVrMmx5W5aBW3jt+9Q7bwAbbyU5byUrrp99GGLEtbLERRqyfflvJStvJThtmozm2y9sqeNPDqjkWh1fe+uNND6tyEJe3lFRol1C0RfrN3w1byFqJNwmshbxpYVUOaue9/ebbqzp1ZAF3yNsqeNPCqjkWj1fe+uNNC6tyEJ+3lFRol1G5Re9ttBu8mIjdsFF521ggVg+sykHt+txnP2cbIp46MsywOT4jb+chq+aYP1Z5K1blwK9UaJdRcWegFjZYO1MdlRzYAjoS1Yp1Rtclt8Cy9OR5nTmwS2gPn7UJrVjnTQ6a4O1XvvIV64546shiuq2NzjC9DYlVc6wqXnnrj1dzzA9rqnPQBG8rSYV2Gc3eUHCmLVvUbe91zlaDfZFktWIt5L3qqrXWRatdhLPvgl0H9pUUsDajFet8yUGzvF2UWWRb2Vq20N7KVuslG6y3IbFqjlXHK2/98WqO+WFNcw6a4W0lJa7QBj4NPM1Uh8s/ATqAdwHfA/YDfwa05a9tz//8TP71syt9fjWFdqGmF70//fTTdvMNN1gfU7tfC1fhT++GbeMyS8Ii/Wx2kV23alWKWEcNHmgqb3pz0Bxv9+7da0s6lkQ6dWQJXfaHQXobEqvmWC288tYfr+aYH9Z05qD53s6lRBXawFnAT4HO/M8PAZ/I/7kh/9zvAbfnH98B/F7+8Qbgzyp9R62FttnMRe9Jb29ayJsWVkjeZg15G0/bt2236zPXRzp1ZIRhW0FLcN6GxKo5Fo9X3vrjTQurchCPNwRvi1Wu0M6UPWTbn1qBTudcK5AFXgI+BDycf30nnOpssTr/M/nXP+ycc77A2tvbTz0e6FvEIDkOAp+mlYPAIMfpIkuOJ7gfyPE48DoALS33snr1KlasWOELryRvOli7gcOJ4E1fDprn7aFXDtH7di8DDHA/93MXd9FCCy/yIi20cBd3cT/3M8AAvfSznExg3obEqjkWl1fe+uNNB6tyEJc3BG+rUqkK3OcAtgJvAq8C3wCWAM8UvP5O4Ef5xz8C3lHw2rPAkjk+8zbgceDxgYGB2P92Em5705BYQ2vFKm9r0fQd7ainjlyFS7i3yoE/Xnnrjzckb0NiVQ78sSbf22mRpBbszrnTmLpL/S6m/lXkz4Gr5rjUpt9S5rV/esLsQeBBgEsvvXTW69VKrVjVirWYV97WpsGhQT6242PcdPQmWmgped1JTvKf+RadeV7NsfisScpBFF55649Xv8f8sKY5B/K2TipVgfsawHXAHxT8vAn4d8DPgNb8c+8HduUf7wLen3/cmr/OlfuOOGu0p6VWrGrFOhevvK1Nve29kU4dWUiX5lidWZOUgyi88tYfr36P+WFNYw7kbXUiYZsh38fUiSNZpu5W7wQ+xdSd7cLNkHfkH/9zZm6GfKjSd9Sj0C6UWrH6ZzULqxWrvI2uak4d6W3rtXPOOV858MBqpjnmi9UsTd6GxKocxOGVt/VTogrtKR6+CPyEqfXXX2fqCL9zgO8zdYzfnwPt+Ws78j8/k3/9nEqfX+9C20ytWH2zVuJNAmshr7yNrqpOHcmM2LnvXK4ceGCtxJsE1kJeeeuPNy2sykE8XnlbPyWu0PY9fBTaZmG1C1Ur1uaxytuZuv3m2+1TfOrUHewxxmyUUVvLWhtl1MYYO/XaFrZYV6ZDOWgCr7z1xxuStyGxKgf+WOVtdVKhXSeF1C5UrVjl7Vy8zWh3XM2pIxvdRnM45cAzr7z1x6uW4n5YU50DeVsVbxLnmArtOimkdqFqxSpv5+JtRrvj8fFxO73j9Flrs4vHHvZYb2uvffwjH1EOPEhzLHnehsSqHFTHK2/98SZxjqnQ9qCQ2oWqFatf1nR6W1/WqKeO9HX01cCqHNTCK2/98aqluB/WdOZA3tbCm7Q5pkLbk0JqF6pWrP5ZK/EmgbWQt1Gs1Zw6sqRjiY2Pj1fFqhzE45W3/njTwqocxOOVt/54k8JartBuVgv2VCikdqFqxeqftTxvSN7Wl/WRP3+Ej+Y+yg52sJvdbGQjY4zxCI8wxhgb2chudrODHVyZu5KHH3q4ClblIC6vvPXHmw5W5SAur7z1xxsCa9PvPvsYjbqjbRZeu1C1Ym0Ub0je+mWt9tSRO265owyrcuCPVd6KVTnwyypv08pKklqwp02htQtVK1Z522jW3qW9HMgcgLenfj43/7+5dChziHf1v6skq3LgjzXN3obEqhxUxytv/fFqjtVJpSrwkEcj72iH1i5UrVjlbaNZqzl1ZGnH0hlrtOdiVQ78sabR25BYlYPaeOWtP17NsWhCmyEbo5DahRbzqhWrP96QvPXFWsupI5VYzZQDX6xmafI2JFblIA6vvPXHmx5WPzlQod1AhdIutJhXrVj98YbkrQ/WOKeOlGOtxJsEXwt5Q8pBJd4ksBbypoVVOYjHK2/98aaF1VcOVGg3QUlvF1oNq1qx+mNNkre+WKc7Q+5kp61kpfXTbyOM2Ba22Agj1k+/rWSl7WSnjWRGbPu27XXhVQ788YbkbUisyoE/VnkrVp85UKHdBKkVawJbscrbprDGPXUkCq9y4I83JG9DYlUO/LHKW7E2OgcqtJsgtWJNXitWedsc1s999nN2feb6suuzp0c1d7SVA82xkFmVA3+s8lasjc6BCu0mS61Y/fLK22Szxj11JCqvcuCPNyRvQ2JVDvyxyluxNjIHKrQTILVi9c8rb5PLWq9TR6LwKgf+eEPyNiTWSrxJYC3klbf+eEPyNiTWSrxxWcsV2mrB3iCpFat/XnmbTNbx8XEyLsPX+Trf5Juc5OSM7znJSb7JN/k6X8fhePLJJ2PxKgf+eEPyNiTW8rzKQRzW8rzydr6wluf1nINSFXjIo/iO9ksvvTTnYvx9+/Y1dJF+nFaszdisUWt702ZsgJg33obEms/Blju22EhmpO6njlRmTXEONMdSwzqbVznwxytv5yPrbN7654D5vHRkYmLCWlparbNz2YwF7tnsOxreIap4Nyx82zpx1sPUbtgxkrVZY8ZO49aF1sU5dh7YQJ73oRKszdgAMV+8DYl1OgedLYu9nDpSiTXNOdAcSw9rMa9y4I9X3s5P1mJeHzkoV2infulINptl/fobOH78V5mYOHBqTE7+Fid5m8nJL8x4Ppf7JOvX30A2m607ywvPP8+moSGeevZZ1qxZSyazmWsGR1k1NEQ38COgLX9tG3AQ+BDwYy5jAjh69EsNYy3mXbdukEl3Apav4A3gauClOVlHedO+ytuYvI3IG93bkFj/KQdHT36AV3jt1Oedy7lsZjO/xq+xmc2cy7mnXjuUOcRp/afVhTW9OdAcSxNrMa9y4I9X3s5P1mLehuegVAUe8iheOrJ//37r6Oiz6YPJofmL9Ktpxdps1mLepG+ASKu3IbEW5iDLe62bxZFOHVnsFtd06kglVrP05EBzLL2sxbzKgT9eeTs/WYt565UD5vPSkWkNDX3CWlt/O2/SoUR0iIrWivUDiWAt5C3f3lTexuFNB+vMHCyg1bpYFOnUkUVuUd0K7ULW8rzheqs5lj7WQl7lwB+vvJ2/rIW89crBvC+0b7/1Vjuju9u6cJalxzpYWHKR/hk9PXbHbbdV9zcWU7Uu0m8+a3UbIJrPG5K3IbGWz8G7abOrudp66bU7uXPWne097LE7udN66bVr3bWxNkNG402Pt8njDcnbkFiVA3+s8las8XNQrtBurXG5S1C687Of5Xvf+Q5nvPkmX3v7CH3A0vxrjzLBK8BrwGaXIdfby/rhYQ4cODDjMzo6Oli2bJkXvl27dvHGsWPc3d/P0cNv0X5iKWfyHF8GcsBmJudkPd7Xx6p162ax+uQtZM0dyXE8N0YrV7ANIwc8yASb8teG7G1IrEnPwf+N0c4KhhnmHu7hG3yDj/AReunlEIfYzW6WspQd7OAf7B84/Ophr7xp8jbk3IbEqhxUxytv/fFqjvlhrSoHmQwsW8bWz3wm2heVqsBDHnMtHTl69GjFzkCdLZ0N32VsNlfL0AE7b/kKOw3sGrD75mDNtmSts/Oshp+cUsyaySy3wcFNNjo0ZD1gW1PgbUisIeRgO85GGI506kjc4/2i8qbF21BzGxKrclAbr7z1x6s55oc1Sg76wG4ZHbVjx47N+Czm+9KRQpVf+P6gQfNbsUZdpN9s3mo2QDSbtZg3PazJz8E42GK6vbZgr5U3dG/DzW1IrMpBHF556483Pazh5OCCCy6a8/0qtAtUbuF7EnbDmkVdpN/8XdGFrJV4k8BayJsW1lBy0EPWewv2WnjT4G2IuQ2JVTmIxytv/fGmhTWkHFxz+eVzvleFdl7FC99bGbKFtNoDYG20WxsLErEbNgorvJiY3btReEPyNiTWEHLQSYstpivSZsglHUu839Euxxqat6HmNiRW5cAfq7wVa2g56G5vt8nJyVnvUaGd14zOQG6BZemxdrAunDmwS2g3IxmtWIu7LrWwIc861cVoAR2Jam9as7chsSoHVfFOe9uKsw0MR27BvuWOLfK2Aq/mmB/WVOdA3lbFqznmhzW0HEx1vfyptbX12Nn9/ebAHn300VnvUaGdV+HC96uuWmtdtNpFOPsu2HVgXwEzktGKdfaGgjNt2aJue69zthrsiySrvWmt3obEqhxUxzvt7TLaqmrB3tl6mrytwKs55oc1zTmQt9Xxao75YQ0tB9ObJIeHb7IjR47YjUNDdt+99856jwrtObR//37LZhfZdatWlT2JpI1RgwcsCYv0n3766Yonp7RxWVNZp3mjeRsSq3JQC282u8je8+7zbEPBqSPlxjAbzbFd3kbg1Rzzw5rOHMjbWng1x/ywhpaDwk2SpaRCu4SmF74nvRVrIWslQP4kpQAAIABJREFU3iSwFvKmhVU5qJ13fHzcely0Fuzd9BiMy9sqeNPCqjkWj1fe+uNNC6tyEJ+3lMoV2plop22nU+3t7QAM9C1ikBwHgU/TykFgkON00Q0cJscT3A/keBx4HYCWlntZvXoVK1asaChred5sIlgLedPBqhzE4b3wwgs5yQke47Gy1z7GY5zkBHA2IG+j8qaDVXMsLq+89cebDlbloB68NalUBR7yiHpH20ytWMU6F6tyUE/93d/9nXVFPHVkEV3WRqe8TT2r5pg/VnkrVuWg0WK+t2AvJ7ViTR5rUK1Y5W1F7fjKDq7lWq7m6oot2HfxLZbwEJt5KzhvQ2LVHKuOV97649Uc88Oa5hw0w9tYKlWBhzyquaOtVqzJYg2pFau8jaYPvu+fVXXqyDoWBOdtSKyaY7Xxylt/vJpjfljTmINmeVtJaDNkNKkVaxJYrem86c1Bc7zdvm27XZ+5PtKpIyMM2wpaAvQ2JFbNsTi88tYfb3pYlYM4vEn3di6p0K5CasXaXFZI3q5oeRtP4+PjdnrH6ZFOHelnkX0+QG9DYtUci8crb/3xpoVVOYjHG4K3xVKhXYPS1N40JNaQWrHK2+jqbe+1rWwtW2hvZat1kQ3S25BYNcf8scpbsSoHflmT5u20VGjXILViVSvWYl55W5v27t1rSzqWRDp1pIsu68jzao7FZ01SDqLwylt/vPo95oc11TmQt5GlQrsGqRWrWrEW88rb2jS9RnsnO20lK62ffhthxLawxUYYsX76bSUrbSc7bQPDdiNOc6xOrEnKQRReeeuPV7/H/LCmOQfyNrpUaMeUWrH6Yw2tFau8rV6333x7VaeOLGKBclBH1qTkICqvvPXHq99jfljTmQN5W41UaNdBasXql7USbxJYC3nlbXRVdepIZsT6lyxTDjywVuJNAmshr7z1x5sWVuUgHq+8rZ/KFdrzugV7NVIrVr+s5XnlbRzW8rz+vR0cGmRP2x5OcrLsdSc5yZ62PZw3cKZy4IG1PK+8jcNanjckb0NiVQ7i8srbBqlUBR7y8HFH26z2dqHN2FAQpxVrMzYUyNsEeltH1qinjvS29yoHnqQ5lkBvQ2JVDqrklbf+eJM3x9DSkfpoxs7d1oXWxTl2HtgAU7thH8r/94okbCgo3rkL37ZOnPXkWcdI1oYCeZs8b+vFWs2pI4sXLDaUg7qzFvPKW3+8zZhjjWBVDqrjlbf+eJM4x8oV2lo6UoVeeP55Ng0N8dSzz7Ju3SCT7gQsX8EbwNXAS/nr2oCDwIeAHzPKm/ZV3saYnPwCExMHTo1c7pOsX38D2WzWK+uaNWvJZDZzzeAoq4aG6AZ+lOeczXsZE8DRo19qGGsxr7z1xxvd2/qxPvLnj/DR3EfZwQ52s5uNbGSMMR7hEcYYYyMb2c1udrCDq05cxS/+wnuUAw/SHEuatyGxKgfV8spbf7xJn2OzVKoCD3n4uqNdqGrahTZ7kX41rVibzVrMK2/98TaKtdpTR+645Y6qWJWDeLzy1h9vWliVg3i88tYfb1JY0dIRP4rWLvRQIroYRWvF+oFEsBbyylt/vI1irfbUke3btlfBqhzE5ZW3/njTwaocxOWVt/54k8KqQtuj4mwoOKOnx+647baGsc7mjb6hoPms8jZU1vHxcTu94/RZa7OLxx722NKOpTY+Pl6GVTnwxypvxaoc+GWVt2llLVdot3pfm5Jy7dq1izeOHePu/n5yR3Icz43RyhVsw8gBDzLBpvy1jzLBK8BrwGaXIdfby/rhYQ4cODDjMzs6Oli2bJl33qOH36L9xFLO5Dm+DOSAzUzOyXq8r49V69bNYvXJK28b461v1gsvvJDjdpzHeIw1rCnJ9BiPcZKTXHjhhSVZlQN/rGn2NiRW5aA6Xnnrj1dzrE4qVYGHPBp5R7u4XWgms9wGBzfZ6NCQ9YBtBStcOzTdxaizpbPhu4zn4nVuwM5bvsJOA7sG7L45WLMtWevsPMtayDS1Fau8DZO1mlNHlnQsmXVHWznQHCvFG8XbkFiVg9p45a0/Xs2xaEJLRxqjajYUwIMGzW/FGnWzRrN55W24rNNrtHey01ay0vrptxFGbAtbbIQR66ffVrLSdrJz1hrtcqxmyoEvVrM0eRsSq3IQh1fe+uNND6ufHKjQbqCibSi4PBE7dwt5y2/WaP6u6ELWSrxJYC3kDclbH6y1njpSibUSbxJ8LeQNKQeVeJPAWsibFlblIB6vvPXHmxZWXzlQod0EFW+AaGXIFtJqD4C10W5tLEjEzt0orPBiYnYaR+GVt8lijXPqSBxe5cAfb0jehsSqHPhjlbdi9ZkDFdpN0IwuRm6BZemxdrAunDmwS2g3IxmtWIs7RLWwIc861XFpAR2JasUqb8NijXvqSBRe5cAfb0jehsSqHPhjlbdibXQOai60gb+MMP5Duc9oxkhCoV24SP+qq9ZaF612Ec6+C3Yd2FfAjGS0Yp29oeBMW7ao297rnK0G+yLJasUqb8Nj7W3vta1sLVtob2Wr9XX01cSrHPjjDcnbkFiVA3+s8lasjc5BnEJ7P3B5mfErwNPlPqMZIwmFdqH2799v2ewiu27VKutjavdrwcKgU7th2xg1eMCSsFnj6aeftptvuKEC72VNZZ3mlbfJZo176khUXuXAH29I3obEqhz4Y5W3Ym1kDuIU2kPlXo96TaNH0gpts39apJ/0VqyFrJV4k8BayCtvk8laz1NHovAqB/54Q/I2JNZKvElgLeSVt/54Q/I2JNZKvHFZyxXamQpnbD9U7vWo10jQ3t4OwEDfIgbJcRD4NK0cBAY5ThfdwGFyPMH9QI7HgdcBaGm5l9WrV7FixYqGspbnzSaCtZBX3iaT9dArh+h9u5cBBrif+7mLu2ihhRd5kRZauIu7uJ/7GWCA3rd7Ofzq4Vi8yoE/3pC8DYm1PK9yEIe1PK+8nS+s5Xk956BUBV44gEuBR4G9wFPAD4Gnory3GSOJd7TN1Iq1cazyNkmsvk4dqcyqHPhjTba3IbHO5lUO/PHK2/nIOpu3/jmgDi3YvwH8er7Afjtead94vfzyyxw9enTW87lcjra2tlnPqxXrbN5Etzdl/ngbEut0Dk6ePMnYvxnjpmM30UJLye85yUn2tO1h19CuurCmOQeaY+lhLeZVDvzxytv5yVrM2/AclKrACwfw3SjXJWUU3tGemJiwlpZW6+xcNmMnaTb7DrVirZJXbW798aa+zS1ddT91JAprGnOgOZYu1rl4lQN/vPJ2/rHOxVvvHBD3HG3gw8C/BzYC66ZHlPc2YxQvHRka+oS1tv62zfx7VyvWWnnV5tYfb3pYC3PweevC76kjlVjN0pQDzbG0shbzKgf+eOXt/GQt5q1XDupRaP9H4HFgJ/CH+fG1KO8t8XmLgYeBnwD/E3g/0AvsZupIwd3AaflrHfBV4Bmm1odfXOnziwvt/fv3W0dHn013AILk7YZVe1M/rJV4k8BayJsW1sIctPNOG8b/qSPlWCvxhuqt5lj6WAt5lQN/vPJ2/rIW8tYrB/UotH8Y5bqoI1+w35J/3JYvvO8BfiP/3G8Ad+cfXw38Tb7gvgz4XqXPn2sz5My72ofUitUTq9rcirU4Bx2026f41Kk72GOM2Sijtpa1NsqojTF26rUtbLE7brmj4byhehsCb0jehsSqHPhjlbdirTYH9Si0x4D3RLk2wmd1Az8FXNHz+4Az8o/PAPblH/8+sHGu60qN4kL79ltvtTO6u60LZ1l6rIOFasVaB9ZUt7kNiTXhOXg3bbaBDQ05dSQKb5q8DTq3IbEqB1Xxylt/vJpjflirzUHxaST1KLT/J1MbM/cR83g/4ELg+8B/AMaZWvvdBbxedN3h/J9/BfxywfPfBi4t9x3Fhfa+ffvs4vPPt4szGXuSqZabasUanzXNbW5DYk16Dr4PtpTuWWuzi8ce9tjSjqV1W6NdijdN3oac25BYlYPqeOWtP17NMT+s1eTg4kzGLj7/fNu3b9+pz6pHob18rhHlvXN81qXACeB9+Z/vA/5VmUL7r+cotC+Z43NvY2od+eMDAwOzDD169KhasXpgTWeb25BYw8jBYrINOXUkKm+avA0ztyGxKge18Mpbf7yaY35Yo+SgD+yW0VE7duzYjPfHLrTrOYBlwIGCn/9Zvpj2tnSkUGrF6oe1Em8SWAt508IaQg72gnXT1fBTR6Lwhu5tqLkNiVU5iMcrb/3xpoU1pBxccMFFc763XKFdtgW7c25vudejXlMoM3sZeME5d37+qQ8DPwb+Ergx/9yNwDfzj/8S2OSmdBlwxMxequY7C6VWrH5Yy/OG5G1IrGHk4Gs4ruVadrCD3exmIxsZY4xHeIQxxtjIRnazmx3s4MrclTz80MMN4w3d2zBzGxKrchCXV976400Ha1g5WN7XXf0Hl6rApwp03mJqTXap8UPg+XKfUeJzL2RqmcdTwH8CTgP6mFoWsj//Z2/+Wgf8LvBs/vvKrs+2Mne01Yq1UbwheRsSa5g5yLKg6aeOVGYN09swchsSq3Lgj1XeijXEHMw8jaS7vd0mJydnvYcYLdh/IUKtfjJiTX9KZvYkU2u1i/XhOa414J9X+x1zSa1Yk9feNCRW5aA63mlvO/gpr/LKqWvOzf9vLh3KHKK3rXcGs7ydzas55oc1zTmQt9Xxao75YQ0tB7kjOU7k7ibXtot7etp449VX2bVrF2vWrIn+gaUq8JBHqTvaasWarPamIbEqB7XxOjdgA2e8w7ojnjrSTbd1dJwhbyPwao75YU1jDuRtbbyaY35YQ8tBJrPchodvsiNHjtiNQ0N23733znoPSdoM2YhRbjPktNSKtTG86WFVDuLwdrmuSKeOZOmRt1XypodVcywOr7z1x5seVuUgLm8pqdAuIbVi9c+bFlbloHbevXv3WrdbFOnUkS4WGYzL2yp408KqORaPV976400Lq3IQn7eUYhfazNEVEviVKO9txohaaJupFatYo7EqB7Xrc5/9nG1g2Hay01ay0vrptxFGbAtbbIQR66ffVrLSdrLThhk2x2fk7Txk1Rzzxypvxaoc+FU9Cu0fAf+CqRNAOoF/C/x9lPc2Y1RTaKsVawJZA2vFKm/L66oPX1XVqSMdZMP0NiRWzbGqeOWtP17NMT+sqc5BE7ytpHoU2l3A/cDf54vubUAmynubMaoptNWKNXmsIbVilbeVdeUVV9pGNpZdnz09Rhi2X8MF6W1IrJpj1fHKW3+8mmN+WNOcg2Z4W0n1KLTbgN8BngSeATZEeV+zRjWFdqHUijUJrOG0YpW30TQ+Pm6nd5we6dSRpSyyPwzS25BYNcdq4ZW3/ng1x/ywpjMHzfd2LtWj0P4B8C+BBUy1UP8m8HCU9zZj1Fpom6kVa7NZIXmbNeRtfPW290Y6daSPbJDehsSqORaPV976400Lq3IQjzcEb4tVrtAu24K9QDeb2W+Z2XEze9nMVvNPLdJTJbVibSZrWK1Y5W00jY+Pk3EZvs7X+Sbf5GRRj6uTnOSbfJOv83UMx/8VnLchsWqOxeWVt/5408GqHMTlDcHbqlSqAg95xLmjPa1a25s2Y0NBzaxN2FAQpxWrvK2GNTnebt+23a7PXB/51JGrcJpjdWNNTg6i8cpbf7z6PeaHNcU5kLeRhc7Rrl4zdsO2LrQuzrHzwAaY2r37UP6/VyRhQ0GtrM3YUFC8Kxq+bZ0468mzjpGszRryNj7r7TffXtWpI6exQHOsTqxJykEUXnnrj1e/x/ywpjkH8ja6yhXaUZeOzDu98PzzbBoa4qlnn2XdukEm3QlYvoI3gKuBl/LXtQEHgQ8BP+YyJoCjR7/ExMSBUyOX+yTr199ANptNEOsob9pXeRtjcvILDeMtZF2zZi2ZzGauGRxl1dAQ3UwdadM2J6+8rYY1Sd72Lu3ltcxrp34+l3PZzGZ+jV9jM5s5l3NPvfYqr3KUE5pjdWJNUg6i8Mpbf7z6PeaHNb05kLd1U6kKPORRjzvahYra3jQJC/SracXabN5qWrE2m7WYV95G1/j4uC12iyOdOtLjeuycc85XDjywmmmO+WI1S4+3IbEqB/F45W39hJaOxFfl9qYfSEzHpWitWA8lgjdaK1Z5G4e1PK9/b/fu3WuL3KJIp44scovsAxdfrBx4YC3PK2/jsJbnDcnbkFiVg7i88rZ+UqFdJ9W6oeCMnh6747bbvDBFY61uQ0HzeeWtP97Ge7t923b7uPu49dJrd3LnrDvbe9hjd3Kn9dJr17prrSPTqhx455W3/nhD8jYkVuXAH6u8jatyhXar97UpKdKuXbt449gx7u7v5+jht2g/sZQzeY4vAzlgM5MAPMoErwCvAZtdhuN9faxat44DBw7M+syOjg6WLVvmlTV3JMfx3BitXME2jBzwIBNsyl9bzJvr7WX98PAsXl+sxbzy1h9vNd7Wi/XQK4c4285mkEHu4R6+wTf4CB+hl14OcYjd7GYpS9nBDv7B/oGT5pQDD9IcS563IbEqB9Xxylt/vEmfY7NUqgIPefi6oz27vemAnbd8hZ0Gdg3YfWDTi4OmuxhlW7LW2XmWtZBpaivWTGa5DQ5ustGhIesB21rAWsjb2dLZlNam8jZZ3taTdfp4vyinjmx0G+0Xf+E9yoEHaY4ly9uQWJWD2njlrT/epM0xtHSk/qpmQwE8aND8VqxRNhQ0m7WYV976420Ua1Ut2DuW2vj4eJWsykEcXnnrjzc9rMpBHF556483KawqtD0p2oaC5u/cLWStxJsE1kJeeeuPt5GskVuwd/RVzaocxOOVt/5408KqHMTjlbf+eJPCqkLbo4o3FLQyZAtptQfA2mg3eLHpu2Gr4W1jQTCs8jYM1r1799qSjiWRNkMu6Vhy6o52VFblwB+rvBWrcuCXVd6mg1WFtkcVdzFqYYO1M9WhyIEtoCNR7UJndIhyC/7/9t4+Sq7yvvP8PNWtfqmWuk23Wm6BLWEkwxzDxAJ7HHKcBB/Hb7xEAtG0QEayLV48EGLJMTtrVjtre8bjtT3HC3hZNosSn8UcZxJsRgdDXjTIJ2d9bCdOsIQxclAEtoTNyIEBrEDLUgnx2z+6Wrld3VV1b9166t7n1vfLuYfq6urWh6++T+tH6Xnu18qMVHmdObC30b8wawZVrPK2M976Zk1Swb6xtNG237a9Lqty4I+10N6GxKocJOKVt/54tcbiS4O2R83foH+6TSwZtrc6Z+vAPkO+6kKjvBdffIUN0Wvn4+w7YFeBfakOaxZVrPK2M976Zk1awX7z9TfXZVUO/LEW2duQWJWDZLzy1h+v1lh8adDukGY36O/bt8+uu/ZaG2Pm9Gtkc9Cp07B9XGh5OFBQLi+xq9aubcK6yeDuTHnlbbistXcdaXQt9I52Laty4I+1mN6GxKoctMIrb/3xao3FkwbtDip6oCDPdaG1vHmvYo2yNuPNA2uUNyRvfbC2eteRZqzNePPga5Q3pBw0480Da5S3KKzKQTpeeeuPtyisvnLQaNAupbsLt1Sr/v7+U49XjC1hkgqHgI/TyyFgkhMMUabCD7gLqPAo8EsAenruYN26taxatarjvPVZh4GXcsErb8NkXbNmDSfsBA/xUEOGh3iIk5xkzZo1sVgb8yoHaVgb84bkbUisykFaXnnrj7cYrBnloN4EHvKV5Tvas8p7XWh9VlWx+mPNt7e+WNPedSQer3Lgjzckb0NiVQ78scpbsXY2B6iCvfNSFWv+qljlbTasD3z9Ad5feT/v431NK9h3VXbxjfu/0fRd7Vpe5cAfb0jehsSqHPhjlbdizVUO6k3gIV95eEdbVaz5qmKVt9mx3vChG1LddSQur3Lgjzckb0NiVQ78scpbsXYyB+gwZLZSFWtneOVtPlnbedeROLzKgT/ekLwNidVMOfDFaiZvxeo/Bxq0cyBVsfrnlbf5ZG33XUea8SoH/nhD8jYk1ma8eWCN8spbf7wheRsSazPetKwatHMiVbFmxypvs2Ud7R+1rWxtOGhvZauNDYx5ZVUO/LHmyduQWOPwKgf+eOVt8Vnj8KbNQdcP2ocPH16wanP//v2qYo3Jm3W9aRLWQnsbEms1Bw8//LCN9Y+1/a4jzVgLnQOtscKw1vIqB/545W13stby+shBVw/a09PT1tPTa4ODE3M2uJfLb8h8k35Rq1hVc5uMt+g1t329I3Y1V9u93Gvncq6NM24b2Wi3cIttZKONM27ncq7dy70t79FeiLXIOdAaKw5rLa9y4I9X3nYnay2vjxx09aBtZjY19WHr7f10ZN+NWV426RevilU1t63wFrnmdhHv9nLXkTisxcyB1lhRWWd5lQN/vPK2u1lnedudg64ftA8cOGADA2M2u+8G8rdJX/Wmflib8eaBNcpbFNZoDvp5o23A711HmrE24w3VW62x4rFGeZUDf7zytntZo7ztykGjQbsrKthXr17N2rW/S2/vndVnVMWahjd39aYNWBvzhuRtSKxzc/Aah/lLHuEkJxt+35OcZHffbianJtvO2pg3XG+1xorHGuVVDvzxytvuZY3ydiQH9SbwkK/ad7RvuuEGWz48bEM4KzNiAyxWFWtbWFVzK9Z4OSgz1JG7jsTjLZa3+eINyduQWJUDf6zyVqzpc0C3V7Bvu/VWvv/tb7P8lVf4ymtHGAOWVT+nKtbWWXNTbxqTN4m3IbHmPQefYprvM8R93IfDcRmX0UPPqe91kpM8zMPcx32UKPHYY4/FqmBvlbdI3oac25BYlYNkvPLWH6/WmB/WRDkolWBigq2f+ES8X6jeBB7ytdB9tI8dO9Z0k76qWJOzFrHmNiTWEHKwHWcb2dCRu47E5S2Kt6HmNiRW5aA1Xnnrj1drzA9rnByMgV2/aZMdP358zvei2w9DRqUqVj+sZkXyNiTW/OfgJhZlcteROLyhextubkNiVQ7S8Mpbf7zFYQ0nB+edd/6CX69BOyJVsfphbcabB9Yob1FYQ8jBLdV3tLO460gz3tC9DTW3IbEqB+l45a0/3qKwhpSDSy+6aMGv1aBdlapYs+MNyduQWEPIwSA9NsbwvEbI2ms3u23ZwLJUzZBpWUPzNtTchsSqHPhjlbdiDS0Hw/39dvTo0Xlfo0G7KlWx5rDeNCRW5SAR71xvy7HuOjLaPypvY/BqjflhLXQO5G0iXq0xP6yh5aCvb8Tgp9bXN2Jnjo+bA9u5c+e8r9GgXZWqWPNXbxoSq3KQjHfW23PARhmyUUZtG9vmvbO9m922jW02yqgNsdgGBpbL2ya8WmN+WIucA3mbjFdrzA9raDmYPSS5YcNH7MiRI/ahqSm784475n2NBu0FpCpWv7xFrhRXDuLzlstL7C1vPtuujnnXkQ1cY47t8jYGr9aYH9Zi5kDetsKrNeaHNbQcRA9J1pMG7TpSFat/3qKwKget89503U2J7jqyiJvlbQLeorBqjaXjlbf+eIvCqhyk562nRoN2V1Sw15OqWP3zFoNVOUjDO7pslOd5/tRzq1nNFrbwMT7GFrawmtWnPvc8z/Mqg5nwhuhtcVi1xtLyylt/vMVgVQ7awduS6k3gIV9x39E2S1fBmcUm/VbrTYNizeCwRtfkIANvv/e979lwzLuOvI5h62MwTG9DYtUaS8grb/3xao35YS1wDjLwtpnQ1pH6mn+69Fs2iLMRZk7D7iBfm/TnnDTuXWxDnGVng62o8t5fANYsDmt0Sw6y8rYc964jlIP1NiRWrbFkvPLWH6/WmB/WIucgC2+bqdGg3dVbRwB+9swzbJ6a4vGnn+byy6+gVNrCpZObWDs1xTDwBNBXfW0fcAh4N/BjLmQaOHbss0xPHzx1VSof5corr6VcLnvnXb9+kqPuVVi5ipeBS4DDwbNu4hX7Mq9hHD36qY7xdkcOsvH2b773PRaVermP+3iQBznJyTmfP8lJHuRB7uM+Sjh2E6K3IbFqjSXllbf+eLXG/LAWNwfZeJtK9SbwkK8k72hHlaSKNQ+b9OPWm4bECtkf1ihqDrLydvtt2+2DpQ/GuuvIRjbYKnqC8zYkVq2xdLzy1h9vUViVg3S8efd2IaGtI/EVr4r1nblpMWpebxoS60UGL+aCt3g5yM7bpHcdeTeLAvM2JFatsbS88tYfbzFYlYO0vCF4WysN2i2o1U36y0dG7OYbb0z963cHa7LDGtnzyttWNPuOdqP92bPXBjbYxbice6sc+OOVt/54Q/I2JFblwB9r/r2dVaNBu7cDu1OC1K5du3j5+HG+MD7OsZd+Rf+ryzidn/B5oAJs4SgAO5nmOeAFYIsrURkd5coNGzh48OCc7zcwMMDExESuWE+MjbF2/fp5rD55o6yVIxVOVHbQy3u4DaMC3MM0m6uvlbets+bJ28mpST5w+wf4yLGP0ENP3ded5CR/xV8wWOXVGkvPmqccxOGVt/549eeYH9Yi50Detkn1JvCQr3a8oz2/MnSFnb1ylZ0GdinYnWCzm4NmW4wGewYzOQnbCmu5p2yDg2dYD6VMq1hLpZU2ObnZNk1N2QjY1girvE3HmidvR/tHY911ZDFDWmNtZs1TDuLwylt/vPpzzA9rEXMgb5MJbR1Jp/ib9O8xyE9daLMDBVnzJjmskTVrLa+8ja89e/bY0oGlNsqobWPbvPtp72a3bWObjTJqo32jdtZZ5ygHHljNtMZ8sZoVyduQWJWDNLzytn3SoN0Gxdmkn5eTsPEOFOTj5G68wxryNg1rM17frInuOlLaaKvfuFI58MDajDcPrFFeeeuPtyisykE6XnnbPmnQbpNqN+n3MmWL6bW7wfrotz4W5eYkbDNWeDZXJ3flbXa8vr1NeteRodKAcpABr7z1xxuStyGxKgf+WOVtMmnQbpPmtBi5RVZmxPrBhnDmwN5Gvxn5qAutbYjq4eoq60zj0iIGclXFKm9z6G2bWJPcdeQad405nHLgmVfe+uPNYo11hFU5SMQrb/3x5nEMFKeBAAAgAElEQVSNadBuk6Kb9C+++AobotfOx9l3wK4C+xKYkY+60PmHH063iSXD9lbnbB3YZ8hXFau8zZ+37WLdu3evvX7g9fP2Ztdeu9lto72j9rvvfa9y4EFaY/nzNiRW5SAZr7z1x5vHNaZB24MOHDhg5fISu2rtWhtj5uRrZGPQqZOwfWwyuNvycKBg3759dt211zbhvTBT1lleeeuPN5637WWNe9eRsYGxFliVg1Z45a0/3izWmF9W5aAVXnnrjzdva0yDtifNbtIPoS40eqAg71WsUV5564+3U6xJ7jqydGCp7d27NxGrcpCOV9764y0Kq3KQjlfe+uPNC2ujQbuU7i7c3a3+/n4AVowtYZIKh4CP08shYJITDDEMvESFH3AXUOFR4JcA9PTcwbp1a1m1alVHWRvzlnPBGuWVt/54O8X6wNcf4P2V93M7t/MIj3AN17CDHTzAA+xgB9dwDY/wCLdzO++rvI9v3P+NBKzKQVpeeeuPtxisykFaXnnrjzcE1szfffZxdeodbbPw6kJVxdop3pC89cua9K4jN19/cwNW5cAfq7wVq3Lgl1XeFpWVPFawO+d6gEeBZ83sMufcm4A/BUaBPcAmM6s45/qBrwJvY6Zpc4OZHcwIe55CqwtVFau87TTr6LJRDpYOwmszH6+u/rOQXiy9yJvG31SXVTnwx1pkb0NiVQ6S8cpbf7xaY21SvQnc9wX8AfAnwMPVj+8Hrq4+/kPgpurjm4E/rD6+GvizZt+7k+9oh1YXqipWedtp1iR3HVk2sGzOHu2FWJUDf6xF9DYkVuWgNV55649XayyeyNthSOANwLeAdwMPAw74H0Bv9fO/AeyqPt4F/Eb1cW/1da7R9+/koB1VSHWhtbyqYvXHG5K3vlhbuetIM1Yz5cAXq1mRvA2JVTlIwytv/fEWh9VPDvI4aH+Dma0g76oO2kuBpyKffyPwRPXxE8AbIp97Gli6wPe8kZmtKI+uWLGiJaPaoVDqQmt5VcXqjzckb32wprnrSCPWZrx58DXKG1IOmvHmgTXKWxRW5SAdr7z1x1sUVl85yNWgDVwG3F19PDtojy8waP+o+njfAoP2WKNfI6t3tKPKe11oElZVsfpjzZO3vlhnmyHv5V47l3NtnHHbyEa7hVtsIxttnHE7l3PtXu61jaWNtv227W3hVQ788YbkbUisyoE/VnkrVp85yNug/b8DPwcOAr8AjgJfK8LWkahUxZrDKlZ5mwlr2ruOxOFVDvzxhuRtSKzKgT9WeSvWTucgV4P2nF+8+o529fHXmXsY8ubq499j7mHI+5t93zwM2qpizV8Vq7zNhvXf3frvbGNpY8P92bNXkne0lQOtsZBZlQN/rPJWrJ3OQSiD9lnA3wFPVYfu/urzA9WPn6p+/qxm3zcPg3ZUqmL1yytv8826d+9ee517Xay7jrzOva7pHu16vMqBP96QvA2JVTnwxypvxdrJHOR20PZ15W3QNlMVayd45W0+Wffs2WNL3JJYdx1Z4pa0NGhHeZUDf7wheRsSazPePLBGeeWtP96QvA2JtRlvWtZGg7Yq2DskVbH655W3+WR94OsP8C7exX3cx4M8yElOzvl1TnKSB3mQ+7iPi7hoTgV7K7zKgT/ekLwNibUxr3KQhrUxr7ztFtbGvJ5zUG8CD/nK4zvaZqpi7RyrvM0T6+xhyDh3HUlyGLI5q3LgjzXf3obEOp9XOfDHK2+7kXU+b/tzQB4r2DupX/ziFxw7dmze85VKhb6+vnnPq4p1Pm+u603pHm9DYp3NwcPffJgXSi+w4rUV3MVdPMVTfJtv8yzPspjFfI7Pnapk31XaNa+CvVXWIudAa6w4rLW8yoE/Xnnbnay1vB3PQb0JPOQr+o729PS09fT02uDgxJyTpOXyG1TFmpBXNbf+eItcczswsMyGGWm5gj0NaxFzoDVWLNaFeJUDf7zytvtYF+Jtdw7o9sOQU1Mftt7eT9vc33dVsbbKq5pbf7zFYZ2bgzLtqWBvldWsSDnQGisqay2vcuCPV952J2stb7ty0PWD9oEDB2xgYMxmG4Agf6dhVW/qh7UZbx5Yo7xFYY3moMyv2RDtq2BvhbUZb6jeao0VjzXKqxz445W33csa5W1XDrp+0DarfVf7RVWxemJVza1Ya3PQS69toP0V7O3kDdXbEHhD8jYkVuXAH6u8FWvSHHT9oH3TDTfY8uFhG8JZmREbYLGqWNvAWuia25BYc56Dsyh7qWBvlbdI3gad25BYlYNEvPLWH6/WmB/WpDmovRtJ1w/a+/fvtwvOOccuKJXsMWYqN1XFmp61yDW3IbHmPQefxNlGNrS9gr1V3iJ5G3JuQ2JVDpLxylt/vFpjfliT5OCCUskuOOcc279//6nv1fWDttnMfhxVsbaftZg1tyGx5j8He8HGGe7IXUfi8hbF23BzGxKrctAKr7z1x6s15oc1Tg7GwK7ftMmOHz8+5+s1aEekKlY/rM1488Aa5S0Kayg5WEy543cdicNbBG9DzG1IrMpBOl5564+3KKwh5eC8885f8GsbDdpdV8GuKlY/rI15Q/I2JNYwcvDnQC8uVgW7w/HYY491jDd0b8PMbUisykFaXnnrj7cYrGHlYOXYcPJvXG8CD/mq9452qxWcWWzST1NvmsUBiJa9DYlVOUjIO+NtP86uYUPsu47ccvMt8rYpr9aYH9YC50DeJuTVGvPDGloO5t6NZLi/344ePTrva9DWkRnNOQ3bu9iGOMvOBlvBzAnT+6t/PZCHTfq1p2HhWzaIs5Eq6w7ydVijVW9DYlUOkvHOeruURYnuOjLYe5q8bcKrNeaHtcg5kLfJeLXG/LCGloMZ3p9aX9+InTk+bg5s586d876m0aDdVVtHfvbMM2yemuLxp59m/fpJjrpXYeUqXgYuAQ5XX9cHHALeDfyYTbxiX+Y1jKNHP8X09MFTV6XyUa688lrK5bJX1ssvv4JSaQuXTm5i7dQUw8ATVc75vBcyDRw79tmOsdbyxvc2JFblICnvrLc2vITnee7Ua1azmi1s4WN8jC1sYTWrT33ueV7g2Ks3y9smvFpjfliLmwN5m5RXa8wPa2g5mOF9F1dcsZ4fPvUUm6emeObQoWTfsN4EHvLV6DDkrJJUcGa9ST9JvWnWrLW8RWFVDlrn/eY3v2kj7nWx7joyzIjBXnmbgLcorFpj6XjlrT/eorAqB+l56wltHVlY8So489EiGa/e9J25YI3yFoNVOUjLu9gtjnXXkSGG5G1C3mKwao2l5ZW3/niLwaoctIO3njRoN1CaTfq1zUCdUKsHIMSahFU5aKe++93v2hBDNsqobWPbvHe2d7PbtrHNRhm1JQxZH4PytvCsWmP+WOWtWJWDTqvRoN3b2g6W4mjXrl28fPw4Xxgfp3KkwonKDnp5D7dhVIB7mGZz9bU7meY54AVgiytRGR3lyg0bOHjw4JzvOTAwwMTEhHfeYy/9iv5Xl3E6P+HzQAXYwtHgWU+MjbF2/fp5rD55uyUHWXh7+5du5zIu4xIu4Yt8ka/xNd7LexlllBd5kUd4hGUs43ZuZxd/wVLuZwu/Cs7bkFi1xpLxylt/vFpjfliLnIMsvE2lehN4yFeSd7RrKzhLpZU2ObnZNk1N2QjYVrDo3qHZJqPBnsGOn9xdiNe5FXb2ylV2GtilYHcGzlruKdvg4BnWQynTKtYi5iArb3/7138r0V1H1rMoOG9DYtUaa41X3vrj1Rrzw1rEHGTlbTOhrSPxlGSTPtxjkH29abwDECGxWua8xc1BNt5uv227fbD0wYb7s2evjWywVfQE6G1IrFpjaXjlrT/e4rAqB2l48+7tQtKgnUDxNulflIvTsFHeorBC9qeio6zNePPAGuXNo7d79+611w+8PtZdR8ZZYv8+QG9DYtUaS8crb/3xFoVVOUjHG4K3tdKg3YIaNQP10W99LMrFadiiscKzuTlpHIdX3sbTaP9ozLuOlIP0NiRWrTF/rPJWrMqBX9a8eTsrDdotaE7rkltkZUasH2wIZw7sbfSbkY+60JZZM6hirW1c6uHqKutMQ9QiBnJVxSpv07Pu2bPHlg4sjXXXkSGGbKDKqzWWnjVPOYjDK2/98erPMT+shc6BvI0tDdotKLpJ/+KLr7Aheu18nH0H7CqwL4EZ+agLbZU1iyrW+YcfTreJJcP2VudsHdhnyFcVq7xNzzq7R/te7rVzOdfGGbeNbLRbuMU2stHGGbdzOdfu5V67mg32IZzWWJtY85SDOLzy1h+v/hzzw1rkHMjb+NKgnVIHDhywcnmJXbV2rY0xc/o1sjHo1GnYPi60rDfox2fdZHB3pryzhx/27dtn1117rbxtM2tevL3pupsS3XVkCYuUgzay5iUHcXnlrT9e/Tnmh7WYOZC3SaRBuw2a3aSf97rQuKyQjwMF0cMa8tYPazNe36yJ7jpS2mjjSyeUAw+szXjzwBrllbf+eIvCqhyk45W37VOjQbuU9j7c3aL+/n4AVowtYZIKh4CP08shYJITDFGmwg+4C6jwKPBLAHp67mDdurWsWrUqR6zDwEu54J1lbcwrb9OwNub17+3k1CS7+3ZzkpMNX3eSk+zu283ZK05XDjywNuaVt2lYG/OG5G1IrMpBWl552yHVm8BDvny8o20WVl2oqlg7xSpv4yjuXUdG+0czZ40r5aBTrPJWrMqBX1Z5m1aogr09CqkuVFWs8nYh3izqjvfu3UvJlbiP+3A4LuMyeug59fmTnORhHuY+7uO1117jn08oBz6kNZY/b0NiVQ6S8cpbf7x5X2PzVG8CD/ny9Y52SHWhqmKVt/V4O113nOSuI9e4a+zX/tVblAMP0hrLl7chsSoHrfHKW3+8eVtj6DBk+xVSXaiqWDvDalYkb9vHmvSuIzdff3NCVuUgDa+89cdbHFblIA2vvPXHmxdWDdqeFFJdqKpY/bM2480Da5S3U6xJ7zqy/bbtiViVg3S88tYfb1FYlYN0vPLWH29eWDVoe1RodaGqYs2ONyRv28m6d+9ee/3A6+c1QtZeu9ltywaW2d69exOxKgf+WOWtWJUDv6zythisGrQ9KrS6UFWxytssWOPedWRsYKwhq3Lgj7XQ3obEqhwk4pW3/ni1xuJLg7ZHhVYXqipWedtp1j179tjSgaU2yqhtY9u8d7Z3s9u2sc1GGbWlA0vnvaOtHGiNLcSrSnE/rEXOgbxNxqs1Fl8atDukkOpCZ3lVxeqPNyRvfbImuetI7R7thViVA3+sxfQ2JFbloBVeeeuPV2ssnjRod1Ch1IXW8qqK1R9vSN76YG31riPNWJvx5sHXKG9IOWjGmwfWKG9RWJWDdLzy1h9vUVh95aDRoK0K9jYrtLpQVbH65w3JWx+so8tGebH04qmPV7OaLWzhY3yMLWxhNatPfe7F0oucNn5aLNbGvMpBGtbGvCF5GxKrcpCWV9764y0Ga0Y5qDeBh3xl+Y72rPJeF1qfVVWs/ljz7a0v1rR3HYnHqxz44w3J25BYlQN/rPJWrJ3NAapg77xUxZq/KlZ5mw3rmjVrOGEneIiHuJzL6/76D/EQJznJmjVrEvMqB/54Q/I2JFblwB+rvBVrrnJQbwIP+crDO9qqYs1XFau8zY71u9/9bqq7jsTlVQ788YbkbUisyoE/Vnkr1k7mAB2GzFaqYu0Mr7zNJ2s77zoSh1c58McbkrchsZopB75YzeStWP3nQIN2DqQqVv+88jafrO2+60gzXuXAH29I3obE2ow3D6xRXnnrjzckb0NibcabllWDdk6kKtbsWOVtdqyz72g3Ogg5e7X6jnZcVuXAH2uevA2JNQ6vcuCPV94WnzUOb9ocdP2gffjw4QWrNvfv368q1pi8WdebJmEttLchsVZz8Od//ue2rH9Z2+860oy10DnQGisMay2vcuCPV952J2str48cdPWgPT09bT09vTY4ODFng3u5/IbMN+kXtYpVNbfJeLui5pYh28rWhoP2Vrba2MBY21iLnAOtseKw1vIqB/545W13stby+shBVw/aZmZTUx+23t5PR/bdmOVlk37xqlhVc9sKb7Frbv+9DdH+u47EYS1mDrTGiso6y6sc+OOVt93NOsvb7hx0/aB94MABGxgYs9l9N5C/TfqqN/XD2ow3D6xR3qKwRnPQzxttA37vOtKMtRlvqN5qjRWPNcqrHPjjlbfdyxrlbVcOGg3aXVHBvnr1atau/V16e++sPqMq1jS8uas3bcDamDckb0NinZsDx3MsY5QVrOAu7uJzfI4eeniWZ+mhh8/xOe7iLlawgtHXRnnp+ZfaztqYN1xvtcaKxxrlVQ788crb7mWN8nYkB/Um8JCv2ne0b7rhBls+PGxDOCszYgMsztUm/VbrTbM4rJGm3jQob0NizXkO3kyfXc3VHbnrSDze4ngbdG5DYlUOEvLKW3+8WmN+WNPVtdPtW0f2799vF5xzjl1QKtljzGx0z9Mm/TmnYXsX2xBn2dlgK5g5vXt/HdYsDmvUnjSGb9kgzkaqrDsK4m1IrHnPwd+BLWO4I3cdicNbJG9Dzm1IrMpBMl55649Xa8wPa5IcXFAq2QXnnGP79+8/9b0aDdpdsXXk7LPP5ns//CHnb9zI7wCHgL7q5/qqH78b+DEXMg0cO/ZZpqcPnroqlY9y5ZXXUi6XvfD97Jln2Dw1xeNPP8369ZMcda/CylW8DFwCHF6QdROv2Jd5DePo0U91jDfKevnlV1AqbeHSyU2snZpiGHiCIngbEmv+c/BvgAqv8hAPNfyeD/EQJznJmjVrvPIWydtwcxsSq3KQlFfe+uPVGvPDGjcHvwNc8MEP8jePP87ZZ58d7xeqN4GHfDUqrMn7Jv0k9aZZ8yapN82atZa3KKwh5GAP2DBDHb/rSBze0L0NNbchsSoH6XjlrT/eorCGlIPzzjt/wa+n27eORFW/gvOduWkxildv+mIueOPVm4bkbUisYeTgFpxtZEMmdx1pxhu6t2HmNiRW5SAtr7z1x1sM1rBycOlFFy34tRq0q2p1k37tpvdOqJ2b9DvPG5K3IbGGmYMyi+z3+f1T72DvYIdtYpNdwRW2iU22gx2nPncLt9jN19+cAWuY3oaR25BYlQN/rPJWrCHmYG5d+3B/vx09enTe1zQatHuT72oJV7t27eLl48f5wvg4x176Ff2vLuN0fsLngQqwhaMA7GSa54AXgC2uxImxMdauX8/Bgwfnfc+BgQEmJia8slaOVDhR2UEv7+E2jApwD9Nsrr62lrcyOsqVGzbM4/XFWsubxNuQWJWDZLyz3g7wU57nuVOvWV39ZyG9UHqBsb6xOczydj6v1pgf1iLnQN4m49Ua88MaWg4qRyq8WvkClb5dfHGkj5eff55du3Zx+eWXx/+G9SbwkK9672jPrwxdYWevXGWngV0KdifY7F6c2Wagck/ZBgfPyLyuvVRaaZOTm23T1JSNgG2NsEZ5B3sGO35ydyHeON6GxKoctMbr3ApbsfwNNhzzriPDDNvAwHJ5G4NXa8wPaxFzIG9b49Ua88MaWg5KpZW2YcNH7MiRI/ahqSm784475n0N2joyX0k26eelrj3OYY2sWWt5i8OqHLTK++CDD9oQQ7aVrQ0H7a1stSEWG+yVtwl4i8OqNZaGV9764y0Oq3KQlreeNGjXUbxN+tmfho2yNuPNA2uUtyisykHrvNtv226XcEmsu45czCXm2C5vE/AWhVVrLB2vvPXHWxRW5SA9bz1p0G6gRpve++g3eDYXp2Hj8vaxSKweWJWD1nXDh26w3+f3Y9115BZusUVcJ2+7kFVrzB+rvBWrcuBXGrQbqLYZqIerrZ+ZRiUHtoiBXFWxzmldcouszEiV15kDexv94bNmUMXaNTnIwNvJ9ZO2gQ2x7jpyNRtsEf1hehsSq9ZYIl55649Xa8wPa6FzkIG3zaRBu4HmHyg43SaWDNtbnbN1YJ8hX1WsUd6LL77Chui183H2HbCrwL5UANYsqli7JQdZePs/3XqrnVY6LV4FO0vsrwL1NiRWrbFkvPLWH6/WmB/WIucgC2+bKVeDNvBG4K+BfwD2AVurz48CjwAHqv8+rfq8A74MPAU8DlzQ7NdIMmhHNbvpfd++fXbdtdfaGDOnX6O78GdPw/ZxoeVhk365vMSuWru2QKybDO7OlLe4OcjO29H+0ViHIccoB+ptSKxaY63wylt/vFpjfliLmYPsvV1IeRu0l88Oy8AS4B+BtwBfBD5Zff6TwBeqjy8B/rI6cF8IfL/Zr9HqoG02d9N73utNo7xFYYX8HdaQt+m0Z88eWzqwNF4FO0P2G/QG521IrFpj6XjlrT/eorAqB+l4Q/C2Vo0G7VLDm2x7kJkdNrM91ccvM/PO9hnAOuDe6svuBWbvBr4O+Gr1v+Vvgdc555b74uvv7z/1eMXYEiapcAj4OL0cAiY5wRBlKvyAu4AKjwK/BKCn5w7WrVvLqlWrfOHV5S0G6zDwUi54i5eD7Lx94OsP8P7K+7md23mER7iGa9jBDh7gAXawg2u4hkd4hNu5nfdxGaOcDMzbkFi1xtLyylt/vMVgVQ7S8obgbSLVm8A7cQFnAs8Aw8Avaz73UvXfDwO/GXn+W8DbF/heNwKPAo+uWLEi9f+dhFtvGhJraFWs8rYV3XTdTYkq2N/Fopx7qxz445W3/nhD8jYkVuXAH2v+vZ0Veaxgd84tBh4AtpnZPzvn6r50geds3hNm9wD3ALz97W+f9/mkUhWrqlhreeVtaxpdNsrB0kF4bebjRhXsz/M8j/Gq1libWPOUgzi88tYfr/4c88Na5BzI2zap3gTu8wIWAbuAP4g8tx9YXn28HNhfffz/ANcs9Lp6V5o92rNSFauqWBfilbfJtXfvXpsoT8S668iIG7ElWmNtZc1LDuLyylt/vPpzzA9rEXMgb5OJnB2GdMBXgTtqnv/PzD0M+cXq40uZexjy75r9Gu0YtKNSFat/VrOwqljlbTK941+/w7a5bQ0H7Y/xMVtzzprMWZtJOegMr7z1x1scVuUgDa+8bZ/yNmj/5owZPA48Vr0uAcaY2X99oPrv0errHfB/AU8DP2KB/dm1V7sHbTNVsfpmbcabB9Yor7xNpieffNKWjSyzba7OXUfcNhsfHrcnn3wyc9Y4Ug7888pbf7xFYVUO0vHK2/YpV4N2Jy4fg7ZZWHWhqmLNjlXeLqwnn3zS3vGv32ET5QnbWKpWsJc22kR5wn79137dnnzyydywxpFykB2rvBWrcuCXVd4mkwbtNimkulBVscrbhXjzUHe8d+9e237bdrv5+ptt+23bbe/evelZlYNEvPLWH28e1pgXVuUgEa+89cebxzWmQbtNCqkuVFWs8nYhXtUd+2Etcg7kbTJerTE/rEXOgbxNxpvHNaZB24NCqgtVFatf1mJ6GxKrctAKr7z1x6s15oe1mDmQt63w5m2NadD2pJDqQlXF6p+1GW8eWKO8RWFVDtLxylt/vEVhVQ7S8cpbf7x5YW00aHe8gr1ICqkuVFWs/lkb84bkbUisykFaXnnrj7cYrMpBWl556483BNbM3332cXXqHW2zdHWhWRwoaLWKNYvDGvK2U96GxKoc+GMtsLchsSoHCXnlrT9erbG4QltH/Kn25C58ywZxNsLMyd0d5OtAwZyTu72LbYiz7GywFVXe++uwZnFYQ952xtuQWJUDf6xF9jYkVuUgGa+89cerNRZfjQZtbR1JqZ898wybp6Z4/OmnufzyKyiVtnDp5CbWTk0xDDwB9FVf2wccAt4N/JgLmQaOHfss09MHT12Vyke58sprKZfL3nnXr5/kqHsVVq7iZWZagw4vyLqJV+zLvIZx9OinOsYrbzvjbUisyoE/1uJ6GxKrcpCUV97649Uaa5PqTeAhX518RzuqJHWheThQkKSKNWteeSvWWlYz5cAXq1lxvA2JVTlIxytv/fEWhdVXDtDWkc4pXl3oO3PTuBSvivXFXPDKW7FGWRvzKgdpWBvzhuRtSKzKQVpeeeuPtxis/nKgQTsDtbpJf/nIiN18440ZsiY7rJE9r7ztRtb5vMqBP96QvA2JVTnwxypvxdrZHDQatHvbuxFFmtWuXbt4+fhxvjA+zrGXfkX/q8s4nZ/weaACbOEoADuZ5jngBWCLK3FibIy169dz8ODBed9zYGCAiYkJr6yVIxVOVHbQy3u4DaMC3MM0m6uvreWtjI5y5YYN83h9sdbyytvuZK3lVQ788YbkbUisyoE/Vnkr1lzloN4EHvKVh3e059ebrrCzV66y08AuBbsTbHZz0GyLUbmnbIODZ1gPpUyrWEullTY5udk2TU3ZCNjWCGuUd7BnsOMnuBfilbfdx7oQr3Lgjzckb0NiVQ78scpbsXYyB2jrSLZKskkf7jHIvoo1zmGNrFlreeVtd7LW8ioH/nhD8jYkVjPlwBermbwVq/8caNDOgeJt0s/+VHSUtRlvHlijvPK2e1mjvMqBP96QvA2JtRlvHlijvPLWH29I3obE2ow3LasG7ZyodpN+L1O2mF67G6yPfoNnc3N6Nw5vH4uCYZW3YlUO/LLmyduQWOPwKgf+eOVt8Vnj8KbNQdcP2ocPH16wanP//v0drWKtbYjq4WrrZ6ZRyYEtYiBXVaxzWpfcIiszUuV15sDeRv/CrBnU3HaNtyGxKgeJeOVtd7LW8ioH/njlbXey1vL6yEFXD9rT09PW09Nrg4MTcza4l8tvyHyTvnOn28SSYXurc7YO7DPkq4o1ynvxxVfYEL12Ps6+A3YV2JfqsGZRc9st3obEqhwk45W33clay6sc+OOVt93JWsvrIwddPWibmU1Nfdh6ez8d2XdjlpdN+vv27bPrrr3Wxpg5/RqFmT0N28eFmbLO8pbLS+yqtWubsG4yuFveJuSN521IrMpBK7zytrtZZ3mVA3+88ra7WWd5252Drh+0Dxw4YAMDYza77wbyt0k/7xragh0AABWZSURBVPWmUd6819xGWZvx5oE1ylsUVuUgHa+87V7WKK9y4I9X3nYva5S3XTloNGiXWr8DdzhavXo1a9f+Lr29d1afeYkKP+AuoMKjwC8B6Om5g3Xr1rJq1aqOcPX39596vGJsCZNUOAR8nF4OAZOcYIhyLlijvPVZh5G36XiLwaocpOWVt93LGuVVDvzxytvuZY3ydiQH9SbwkK/ad7RvuuEGWz48bEM4KzNiAyxWFWtbWFVzK1blwC+rvBWrcuCXVd6KNX0O6PYK9m233sr3v/1tlr/yCl957QhjwLLq51TF2jprbupNY/Im8TYkVuUgGa+89cerNeaHtcg5kLfJeLXG/LAmykGpBBMTbP3EJ+L9QvUm8JCvhe6jfezYsaab9FXFmpy1iDW3IbEqB63xylt/vFpjfliLmAN52xqv1pgf1jg5GAO7ftMmO378+JzvRbcfhoxKVax+WM2K5G1IrMpBGl5564+3OKzKQRpeeeuPtzis4eTgvPPOX/DrNWhHpCpWP6zNePPAGuUtCqtykI5X3vrjLQqrcpCOV9764y0Ka0g5uPSiixb8Wg3aVamKNTvekLwNiVU58Mcqb8WqHPhllbdiDS0Hw/39dvTo0Xlfo0G7KlWx5rDeNCRW5SARr7z1x6s15oe10DmQt4l4tcb8sIaWg76+EYOfWl/fiJ05Pm4ObOfOnfO+RoN2VapizV+9aUisykEyXnnrj1drzA9rkXMgb5Pxao35YQ0tB7OHJDds+IgdOXLEPjQ1ZXfecce8r9GgvYBUxeqXV5XifliLmQN52wqv1pgf1mLmQN62wqs15oc1tBxED0nWkwbtOlIVq3/eorAqB+l45a0/3qKwKgfpeOWtP96isCoH6XnrqdGg3RUV7PWkKlb/vMVgVQ7S8spbf7zFYFUO0vLKW3+8xWBVDtrB25LqTeAhX3Hf0TZTFatYF2JVDvyxyluxKgd+WeWtWJWDTotur2BvJFWx5o81qCpWeZuItcjehsSqHCTjlbf+eLXG/LAWOQdZeJtK9SbwkK8k72irijVfrCFVscrb1liL6G1IrMpBa7zy1h+v1pgf1iLmICtvmwkdhownVbHmgdUy5y1uDuRtGt7isCoHaXjlrT/e4rAqB2l48+7tQtKgnUCqYs2WFfJ3Klre+mFtxpsH1ihvUViVg3S88tYfb1FYlYN0vCF4WysN2i2oSPWmIbGGVMUqb/3yhuRtSKzKgT9WeStW5cAva968nZUG7RakKlZVsdbyylt/vFpjflgLnQN5m4hXa8wPa6FzIG9jS4N2C1IVq6pYa3nlrT9erTE/rEXOgbxNxqs15oe1yDmQt/GlQTulVMXqjzW0KlZ5649Xa8wPazFzIG9b4dUa88NazBzI2yTSoN0GqYrVL2sz3jywRnnlrT/eorAqB+l45a0/3qKwKgfpeOVt+9Ro0O7qCvYkUhWrX9bGvPI2DWtj3pC8DYlVOUjLK2/98RaDVTlIyytvO6R6E3jIl493tM1arwvN4kBBmirWLA4UyNscehsSq3KQkFfe+uPVGvPDWuAcyNuEvPlbY2jrSHs05+Ru72Ib4iw7G2wFM6dh76/+fUUeDhTUntyFb9kgzkaqrDvI14ECeZs/b0NiVQ6S8cpbf7xaY35Yi5wDeZuMN49rrNGgra0jCfSzZ55h89QUjz/9NOvXT3LUvQorV/EycAlwuPq6PuAQ8G7gx2ziFfsyr2EcPfoppqcPnroqlY9y5ZXXUi6XvbJefvkVlEpbuHRyE2unphgGnqhyzue9kGng2LHPdoy1llfe+uON721IrMpBUl55649Xa8wPa3FzIG+T8uZ9jc1TvQk85MvXO9pRJakLzXqTfpIq1qxZa3nlrT/eorAqB+l45a0/3qKwKgfpeOWtP968sKKtI34Ury70xVy0GMWrYn1nLlijvPLWH28xWJWDtLzy1h9vMViVg7S88tYfb15YNWh7VJoDBctHRuzmG2/sGOt83vgHCrJnlbdiVQ78sspbsSoHflnlbVFZGw3avd73phRcu3bt4uXjx/nC+DiVIxVOVHbQy3u4DaMC3MM0m6uv3ck0zwEvAFtcicroKFdu2MDBgwfnfM+BgQEmJia88x576Vf0v7qM0/kJnwcqwBaOLsh6YmyMtevXz2P1yStvO+NtSKzKgT/WInsbEqtykIxX3vrj1Rprk+pN4CFfnXxHu7YutFRaaZOTm23T1JSNgG0Fi+4dmm0xGuwZ7Pgp44V4nVthZ69cZaeBXQp25wKs5Z6yDQ6eYT2UMq1ilbdiVQ78shbR25BYlYPWeOWtP16tsXhCW0c6oyQHCuAeg+yrWOMe1siaV96KtZbVTDnwxWpWJG9DYlUO0vDKW3+8xWH1kwMN2h1UvAMFF+Xi5G6Ut/FhjexPRUdZm/HmgTXKG5K3IbE2480Da5RX3vrjLQqrcpCOV9764y0Kq68caNDOQLUHIHqZssX02t1gffRbH4tycXI3Dis8m5uTxnF45W3xWePwKgf+eEPyNiRW5cAfq7wVq88caNDOQHNajNwiKzNi/WBDOHNgb6PfjHxUsdY2RPVwdZV1pnFpEQO5qmKVt2Kt5VUO/PGG5G1IrMqBP1Z5K9ZO50CDdgaKbtK/+OIrbIheOx9n3wG7CuxLYEY+qljnHyg43SaWDNtbnbN1YJ8hX1Ws8lastbzKgT/ekLwNiVU58Mcqb8Xa6Rxo0M5YBw4csHJ5iV21dq2NMXP6NbIx6NRp2D42GdxteTissW/fPrvu2mub8F6YKessr7ztbtZZXuXAH29I3obEqhz4Y5W3Yu1kDjRo50Czm/TzXsUaZW3GmwfWKK+87V7WKK9y4I83JG9DYm3GmwfWKK+89ccbkrchsTbjTcvaaNAupbsLtxRX/f39AKwYW8IkFQ4BH6eXQ8AkJxhiGHiJCj/gLqDCo8AvAejpuYN169ayatWqjrI25i3ngjXKK2+7lzXKqxz44w3J25BYG/MqB2lYG/PK225hbczrOQf1JvCQrzy+o22mKtbOscpbsSoHflnz7W1IrPN5lQN/vPK2G1nn87Y/B3R7BfsvfvELjh07Nu/5SqVCX1/fvOdVxTqfN9f1pnSPtyGxKgfJeOVtd7LW8ioH/njlbXey1vJ2PAf1JvCQr+g72tPT09bT02uDgxNzTpKWy29QFWtCXtXc+uNVza0f1iLmQN4Wi3UhXuXAH6+87T7WhXjbnQO6/TDk1NSHrbf30zb3911VrK3yqubWH29xWJWDNLzytjtZa3mVA3+88rY7WWt525WDQgzawAeA/cBTwCcbvbZ20D5w4IANDIzZbAMQ5O80rOpN/bA2480Da5S3KKzKQTpeedu9rFFe5cAfr7ztXtYob7tyEPygDfQATwNnAX3AD4G31Hv9Qoch576r/aKqWD2xquZWrMqBX1Z5K1blwC+rvBVr0hwUYdD+DWBX5OPbgNvqvb520L7phhts+fCwDeGszIgNsDhXp2FbrTfNmjVpvWnWvCF5GxKrcuCPVd6KVTnwyypvxdqOHDQatEO5j/YZwM8iH/+8+lwsbbv1VpYvX845Jcf3OMIBXuG/Mg3MnDA9wCt8jyOcU3Isn5hg6yc+0V76JvrZM8+weWqKx59+mvd+4DIc07wFxy6MSWAjx3PJevnlV/Ca+zanLRlmtXOsBf5XjsnbLmNVDvyxyluxKgd+WeWtWL3noN4EnqcLuAr4o8jHm4D/s+Y1NwKPAo+uWLFi3v+5HDt2rGEF5xjY9Zs22fHjx1v9n6O2KE69aZ5Y49Sb5ok3JG9DYlUO/LHKW7EqB35Z5a1Y0+aAbt86ElW9E6bnnXd+7N8Q32pWb5pHVrOweMXaXikH/iRv/SlEVrOweENiNQuLV6ztVZocNBq0Q9k68vfAm51zb3LO9QFXA99s5RvVq+BcOTbcRtx0alZvmkdWCItXrO2VcuBP8tafQmSFsHhDYoWweMXaXnnLQb0JPG8XcAnwj8zcfWR7o9fWe0e70QnT4f5+O3r0aOP/3emgQmI1C4tXrP4UEm9IrGZh8YrVn0LiDYnVLCxesfpTK7yEvnUk6VVv0K49YQo/tb6+ETtzfNwc2M6dO2P9JnRCIbGahcUrVn8KiTckVrOweMXqTyHxhsRqFhavWP2pFd5Gg3YoW0faotoTpqXSu7jiivX88Kmn2Dw1xTOHDmWNeEohsUJYvGL1p5B4Q2KFsHjF6k8h8YbECmHxitWf2s5bbwIP+Wp0GHJWtZWheVZIrGZh8YrVn0LiDYnVLCxesfpTSLwhsZqFxStWf4rLS4N3tN3M54ult7/97fboo482fd3x48fnbH7Ps0JihbB4xepPIfGGxAph8YrVn0LiDYkVwuIVqz/F4XXO/cDM3r7Q57pq60itQvqNDokVwuIVqz+FxBsSK4TFK1Z/Cok3JFYIi1es/pSWt6sHbUmSJEmSJEnyJQ3akiRJkiRJkuRBGrQlSZIkSZIkyYM0aEuSJEmSJEmSB2nQliRJkiRJkiQP0qAtSZIkSZIkSR6kQVuSJEmSJEmSPEiDtiRJkiRJkiR5kAZtSZIkSZIkSfIgDdqSJEmSJEmS5EEatCVJkiRJkiTJgzRoS5IkSZIkSZIHadCWJEmSJEmSJA/SoC1JkiRJkiRJHqRBW5IkSZIkSZI8SIO2JEmSJEmSJHmQBm1JkiRJkiRJ8iAN2pIkSZIkSZLkQc7MsmZou5xzzwOHYrx0KfA/PONI8rmTktedkXzujORz5ySvOyP53Dl10uuVZja+0CcKOWjHlXPuUTN7e9YcRZd87pzkdWcknzsj+dw5yevOSD53TnnxWltHJEmSJEmSJMmDNGhLkiRJkiRJkgd1+6B9T9YAXSL53DnJ685IPndG8rlzktedkXzunHLhdVfv0ZYkSZIkSZIkX+r2d7QlSZIkSZIkyYu6ctB2zn3AObffOfeUc+6TWfOELOfcG51zf+2c+wfn3D7n3Nbq8592zj3rnHusel0S+Zrbqt7vd869Pzv68OScO+ic+1HV00erz4065x5xzh2o/vu06vPOOfflqtePO+cuyJY+DDnnzonk9jHn3D8757Yp0+2Rc+4rzrnnnHNPRJ5LnGHn3Ieqrz/gnPtQFv8teVYdn/+zc+7Jqpc7nXOvqz5/pnPuV5Fs/2Hka95W/ZnzVPX3wmXx35Nn1fE68c8LzSaNVcfnP4t4fNA591j1+fxk2sy66gJ6gKeBs4A+4IfAW7LmCvUClgMXVB8vAf4ReAvwaeDWBV7/lqrn/cCbqr8XPVn/d4RyAQeBpTXPfRH4ZPXxJ4EvVB9fAvwl4IALge9nzR/aVf158QtgpTLdNk9/G7gAeCLyXKIMA6PAT6r/Pq36+LSs/9vydNXx+X1Ab/XxFyI+nxl9Xc33+TvgN6q/B38JXJz1f1verjpeJ/p5odmkNZ9rPv8l4H+rPs5NprvxHe13AE+Z2U/MrAL8KbAuY6ZgZWaHzWxP9fHLwD8AZzT4knXAn5rZcTP7KfAUM78nUutaB9xbfXwvcHnk+a/ajP4WeJ1zbnkWgAHrd4CnzaxRAZYynUBm9m3gxZqnk2b4/cAjZvaimb0EPAJ8wD99OFrIZzP7b2b2avXDvwXe0Oh7VL0eNrO/sZkJ5av8y++NVFWdTNdTvZ8Xmk2aqJHP1Xelp4D/0uh7ZJHpbhy0zwB+Fvn45zQeDKWYcs6dCZwPfL/61C3Vv6L8yuxfBSP/08qA/+ac+4Fz7sbqc683s8Mw8z8+wLLq8/I6va5m7g9uZdqPkmZYnqfXFmbezZvVm5xze51z/59z7reqz53BjLezks/JlOTnhTKdTr8F/JOZHYg8l4tMd+OgvdBeHN16JaWcc4uBB4BtZvbPwP8NrALWAIeZ+SsdkP9p9U4zuwC4GPg959xvN3itvE4h51wfsBb4evUpZbrzquetPE8h59x24FXga9WnDgMrzOx84A+AP3HODSOf0yjpzwt5nU7XMPdNkdxkuhsH7Z8Db4x8/Abgv2fEUgg55xYxM2R/zcz+K4CZ/ZOZnTSz14Ad/Mtfpcv/FDKz/17993PATmZ8/afZLSHVfz9Xfbm8TqeLgT1m9k+gTHtW0gzL8xZVPTh6GfDB6l+dU93G8EL18Q+Y2St8NjM+R7eXyOeYauHnhTLdopxzvcB64M9mn8tTprtx0P574M3OuTdV37G6GvhmxkzBqrov6o+BfzCz/yPyfHQv8BXA7CnhbwJXO+f6nXNvAt7MzMEEqYmcc0POuSWzj5k52PQEM57O3nXhQ8CD1cffBDZX79xwIXBk9q/npVia8w6JMu1VSTO8C3ifc+606l/Jv6/6nNRAzrkPAP8zsNbMjkaeH3fO9VQfn8VMhn9S9fpl59yF1Z/1m/mX3xupgVr4eaHZpHW9B3jSzE5tCclTpnt9fvM8ysxedc7dwswP5R7gK2a2L2OskPVOYBPwo9nb6gD/C3CNc24NM38lcxD4KICZ7XPO3Q/8mJm/uvw9MzvZceow9XpgZ/VORL3An5jZXznn/h643zl3HfAMcFX19X/BzF0bngKOAh/pPHKYcs6VgfdSzW1VX1Sm08s591+AdwFLnXM/Bz4FfJ4EGTazF51z/5GZ4QTgP5hZ3MNoXaE6Pt/GzN0uHqn+HPlbM/u3zNzN4T84514FTgL/NuLnTcD/Cwwys6c7uq9boq7X70r680KzSWMt5LOZ/THzz9JAjjKtZkhJkiRJkiRJ8qBu3DoiSZIkSZIkSd6lQVuSJEmSJEmSPEiDtiRJkiRJkiR5kAZtSZIkSZIkSfIgDdqSJEmSJEmS5EEatCVJkrpUzrkznXO/ityaM+7XbXDOPeWce9gXmyRJUhGkQVuSJKm79bSZrUnyBWb2Z8D1nngkSZIKIw3akiRJBZRz7j8657ZGPv5PzrmPNfmaM51zTzrn/sg594Rz7mvOufc4577rnDvgnHtHo6+XJEmS5kqDtiRJUjH1x1RrzZ1zJWba074W4+tWA3cCvwb8K2Aj8JvArcy0vkqSJEkx1XUV7JIkSd0gMzvonHvBOXc+8Hpgr5m9EONLf2pmPwJwzu0DvmVm5pz7EXCmP2JJkqTiSYO2JElScfVHwIeBCeArMb/meOTxa5GPX0N/ZkiSJCWSto5IkiQVVzuBDwD/BtiVMYskSVLXSe9OSJIkFVRmVnHO/TXwSzM7mTWPJElSt0mDtiRJUkFVPQR5IXBVnNeb2UHgvMjHH673OUmSJKm5tHVEkiSpgHLOvQV4ipnDjAfqvOwkMNJKYQ1wN/BSOkpJkqRiy5lZ1gySJEmSJEmSVDjpHW1JkiRJkiRJ8iAN2pIkSZIkSZLkQRq0JUmSJEmSJMmDNGhLkiRJkiRJkgdp0JYkSZIkSZIkD9KgLUmSJEmSJEke9P8DDveNnOS0yHUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Receivers\n",
    "r = inputdata_aux['recs'][::subsampling].T\n",
    "nr = r.shape[1]\n",
    "dr = r[0,1]-r[0,0]\n",
    "\n",
    "# Sources\n",
    "s = inputdata_aux['srcs'][::subsampling].T\n",
    "ns = s.shape[1]\n",
    "ds = s[0,1]-s[0,0]\n",
    "\n",
    "# Virtual points (y, x, z)\n",
    "vs = np.vstack((620*np.ones(nvs), np.linspace(200, 1000, nvs), 800*np.ones(nvs)))\n",
    "               \n",
    "# Time axis\n",
    "ot, dt, nt = 0, 2.5e-3, 601\n",
    "t = np.arange(nt)*dt\n",
    "\n",
    "# Density model\n",
    "rho = inputdata_aux['rho']\n",
    "z, x, y = inputdata_aux['z'], inputdata_aux['x'], inputdata_aux['y']\n",
    "\n",
    "plt.figure(figsize=(18,9))\n",
    "plt.imshow(rho[np.argmin(np.abs(x-vs[1, 0]))].T, cmap='gray', extent = (x[0], x[-1], z[-1], z[0]))\n",
    "plt.scatter(r[0, ::10],  r[2, ::10], marker='v', s=150, c='b', edgecolors='k')\n",
    "plt.scatter(s[0, 5::10], s[2, 5::10], marker='*', s=150, c='r', edgecolors='k')\n",
    "plt.scatter(vs[0], vs[2], marker='.', s=250, c='m', edgecolors='k')\n",
    "plt.axis('tight')\n",
    "plt.xlabel('x [m]'),plt.ylabel('y [m]'),plt.title('Model and Geometry')\n",
    "plt.xlim(x[0], x[-1]);\n",
    "\n",
    "plt.figure(figsize=(18,9))\n",
    "plt.imshow(rho[np.argmin(np.abs(y-vs[0, 0]))].T, cmap='gray', extent = (y[0], y[-1], z[-1], z[0]))\n",
    "plt.scatter(r[1, ::10],  r[2, ::10], marker='v', s=150, c='b', edgecolors='k')\n",
    "plt.scatter(s[1, 5::10], s[2, 5::10], marker='*', s=150, c='r', edgecolors='k')\n",
    "plt.scatter(vs[1], vs[2], marker='.', s=250, c='m', edgecolors='k')\n",
    "plt.axis('tight')\n",
    "plt.xlabel('y [m]'),plt.ylabel('z [m]'),plt.title('Model and Geometry')\n",
    "plt.xlim(y[0], y[-1]);\n",
    "\n",
    "plt.figure(figsize=(12,9))\n",
    "plt.scatter(r[0],  r[1], marker='v', s=150, c='b', edgecolors='k')\n",
    "plt.scatter(s[0], s[1], marker='*', s=150, c='r', edgecolors='k')\n",
    "plt.scatter(vs[0], vs[1], marker='.', s=500, c='m', edgecolors='k')\n",
    "plt.axis('equal')\n",
    "plt.xlabel('y [m]'),plt.ylabel('x [m]'),plt.title('Top view Geometry')\n",
    "plt.xlim(x[0], x[-1]);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create subsurface field to convolve to the reflection response"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Direct arrival window - traveltime\n",
    "distVS = np.sqrt((vs[0]-r[0][:, np.newaxis])**2 +\n",
    "                 (vs[1]-r[1][:, np.newaxis])**2 +\n",
    "                 (vs[2]-r[2][:, np.newaxis])**2)\n",
    "directVS = distVS/vel\n",
    "\n",
    "wav = ricker(t[:51], 20)[0]\n",
    "wav_c = np.argmax(wav)\n",
    "G0sub = np.zeros((nr, nvs, nt))\n",
    "for ivs in range(nvs):\n",
    "    G0sub[:, ivs] = directwave(wav, directVS[:,ivs], nt, dt, nfft=2**11, dist=distVS[:,ivs], kind='3d').T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1008x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(14, 4))\n",
    "ax.imshow(G0sub.transpose(1, 0, 2).reshape(nr*nvs, nt).T, cmap='gray', vmin=-1e-4, vmax=1e-4, \n",
    "          interpolation=None, extent=(0, nr*nvs, t[-1], 0))\n",
    "ax.set_title(r'$G_d$')\n",
    "ax.set_xlabel(r'$x_R$')\n",
    "ax.set_ylabel(r'$t$')\n",
    "ax.axis('tight')\n",
    "ax.set_ylim(0.8, 0)\n",
    "ax.set_xlim(700, 800);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Read Reflection response from Zarr file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "dRtwosided_fft = 2 * da.from_zarr(zarrfile)  # 2 * as per theory you need 2*R"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<table>  <thead>    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 3.61 GB </td> <td> 36.07 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (300, 1226, 1226) </td> <td> (3, 1226, 1226) </td></tr>\n",
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       "    <tr><th> Type </th><td> complex64 </td><td> numpy.ndarray </td></tr>\n",
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      ],
      "text/plain": [
       "dask.array<rechunk-merge, shape=(300, 1226, 1226), dtype=complex64, chunksize=(3, 1226, 1226)>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nchunks = [max(nfmax // ncores, 1), ns, nr]\n",
    "if not ffirst:\n",
    "    dRtwosided_fft = dRtwosided_fft.transpose(2, 1, 0)\n",
    "if rechunk:\n",
    "    dRtwosided_fft = dRtwosided_fft.rechunk(nchunks)\n",
    "else:\n",
    "    nchunks = dRtwosided_fft.chunksize\n",
    "dRtwosided_fft = client.persist(dRtwosided_fft)\n",
    "client.rebalance(dRtwosided_fft)\n",
    "\n",
    "dRtwosided_fft"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create distributed MDC operator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Operators\n",
    "dRop = dMDC(dRtwosided_fft, nt=2*nt-1, nv=nvs, dt=dt, dr=darea, \n",
    "            twosided=True, saveGt=False)\n",
    "\n",
    "# Input focusing function\n",
    "dfd_plus = np.concatenate((np.flip(G0sub, axis=-1).transpose(2, 0, 1), np.zeros((nt-1, nr, nvs)))).astype(np.float32)\n",
    "dfd_plus = da.from_array(dfd_plus).rechunk(dfd_plus.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Run standard redatuming as benchmark"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "dp0_minus = dRop.matvec(dfd_plus.flatten())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "p0_minus = dp0_minus.compute()\n",
    "p0_minus = p0_minus.reshape((2*nt-1), nr, nvs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, sharey=True, figsize=(16, 8))\n",
    "ax.imshow(p0_minus.transpose(2, 1, 0).reshape(nr*nvs, 2*nt-1).T, cmap='gray', vmin=-2e-8, vmax=2e-8, \n",
    "          interpolation=None, extent=(0, nr*nvs, t[-1], -t[-1]))\n",
    "ax.set_title(r'$p_0^-$')\n",
    "ax.set_xlabel(r'$x_R$')\n",
    "ax.set_ylabel(r'$t$')\n",
    "ax.axis('tight')\n",
    "ax.set_ylim(0.5, -0.5)\n",
    "ax.set_xlim(700, 1100);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Time forward"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "dp0_forw = dRop.matvec(dfd_plus.flatten())\n",
    "\n",
    "exctime = np.array(repeat(lambda: dp0_forw.compute(), number=ntime, repeat=nrepeat))\n",
    "meantime, stdtime = np.mean(exctime/ntime), np.std(exctime/ntime)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame(dict(nworkers=nworkers, ncores=ncores, ram=total_ram(), \n",
    "                       subsampling=subsampling, ffirst=ffirst,\n",
    "                       meantime=meantime, stdtime=stdtime, \n",
    "                       nchunks=str(nchunks), rebalance=rebalance,\n",
    "                       nrepeat=nrepeat, ntime=ntime, nvs=nvs,\n",
    "                       time=date.today()), index=[0])\n",
    "\n",
    "# add to csv file\n",
    "header=True\n",
    "if os.path.isfile('Benchmarks/benchmark_forwmulti.csv'):\n",
    "    df_other = pd.read_csv('Benchmarks/benchmark_forwmulti.csv')\n",
    "    df = pd.concat([df_other, df])\n",
    "df.to_csv('Benchmarks/benchmark_forwmulti.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ffirst</th>\n",
       "      <th>meantime</th>\n",
       "      <th>nchunks</th>\n",
       "      <th>ncores</th>\n",
       "      <th>nrepeat</th>\n",
       "      <th>ntime</th>\n",
       "      <th>nvs</th>\n",
       "      <th>nworkers</th>\n",
       "      <th>ram</th>\n",
       "      <th>rebalance</th>\n",
       "      <th>stdtime</th>\n",
       "      <th>subsampling</th>\n",
       "      <th>time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>True</td>\n",
       "      <td>8.615038</td>\n",
       "      <td>[3, 1226, 1226]</td>\n",
       "      <td>96</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>126.0 GB</td>\n",
       "      <td>True</td>\n",
       "      <td>0.382233</td>\n",
       "      <td>8</td>\n",
       "      <td>2019-11-18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>True</td>\n",
       "      <td>17.752413</td>\n",
       "      <td>[3, 1226, 1226]</td>\n",
       "      <td>96</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>25</td>\n",
       "      <td>8</td>\n",
       "      <td>126.0 GB</td>\n",
       "      <td>True</td>\n",
       "      <td>0.761968</td>\n",
       "      <td>8</td>\n",
       "      <td>2019-11-18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>True</td>\n",
       "      <td>6.238845</td>\n",
       "      <td>[3, 1226, 1226]</td>\n",
       "      <td>96</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>126.0 GB</td>\n",
       "      <td>True</td>\n",
       "      <td>0.028211</td>\n",
       "      <td>8</td>\n",
       "      <td>2019-11-18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>True</td>\n",
       "      <td>31.043209</td>\n",
       "      <td>[3, 1226, 1226]</td>\n",
       "      <td>96</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>50</td>\n",
       "      <td>8</td>\n",
       "      <td>126.0 GB</td>\n",
       "      <td>True</td>\n",
       "      <td>0.392060</td>\n",
       "      <td>8</td>\n",
       "      <td>2019-11-18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>True</td>\n",
       "      <td>10.570028</td>\n",
       "      <td>[6, 1226, 1226]</td>\n",
       "      <td>48</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>126.0 GB</td>\n",
       "      <td>True</td>\n",
       "      <td>0.111563</td>\n",
       "      <td>8</td>\n",
       "      <td>2019-11-19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>True</td>\n",
       "      <td>9.166759</td>\n",
       "      <td>[6, 1226, 1226]</td>\n",
       "      <td>48</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>126.0 GB</td>\n",
       "      <td>True</td>\n",
       "      <td>0.923153</td>\n",
       "      <td>8</td>\n",
       "      <td>2019-11-19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>True</td>\n",
       "      <td>25.545733</td>\n",
       "      <td>[6, 1226, 1226]</td>\n",
       "      <td>48</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>25</td>\n",
       "      <td>4</td>\n",
       "      <td>126.0 GB</td>\n",
       "      <td>True</td>\n",
       "      <td>0.576011</td>\n",
       "      <td>8</td>\n",
       "      <td>2019-11-19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>True</td>\n",
       "      <td>64.366888</td>\n",
       "      <td>[6, 1226, 1226]</td>\n",
       "      <td>48</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>126.0 GB</td>\n",
       "      <td>True</td>\n",
       "      <td>1.250990</td>\n",
       "      <td>8</td>\n",
       "      <td>2019-11-19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>True</td>\n",
       "      <td>35.179387</td>\n",
       "      <td>[3, 1226, 1226]</td>\n",
       "      <td>96</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>50</td>\n",
       "      <td>8</td>\n",
       "      <td>126.0 GB</td>\n",
       "      <td>True</td>\n",
       "      <td>1.984675</td>\n",
       "      <td>8</td>\n",
       "      <td>2019-12-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ffirst   meantime          nchunks  ncores  nrepeat  ntime  nvs  nworkers  \\\n",
       "0    True   8.615038  [3, 1226, 1226]      96        2      5    5         8   \n",
       "1    True  17.752413  [3, 1226, 1226]      96        2      5   25         8   \n",
       "2    True   6.238845  [3, 1226, 1226]      96        2      5    1         8   \n",
       "3    True  31.043209  [3, 1226, 1226]      96        2      5   50         8   \n",
       "4    True  10.570028  [6, 1226, 1226]      48        2      5    5         4   \n",
       "5    True   9.166759  [6, 1226, 1226]      48        2      5    1         4   \n",
       "6    True  25.545733  [6, 1226, 1226]      48        2      5   25         4   \n",
       "7    True  64.366888  [6, 1226, 1226]      48        2      5   50         4   \n",
       "8    True  35.179387  [3, 1226, 1226]      96        2      5   50         8   \n",
       "\n",
       "        ram  rebalance   stdtime  subsampling        time  \n",
       "0  126.0 GB       True  0.382233            8  2019-11-18  \n",
       "1  126.0 GB       True  0.761968            8  2019-11-18  \n",
       "2  126.0 GB       True  0.028211            8  2019-11-18  \n",
       "3  126.0 GB       True  0.392060            8  2019-11-18  \n",
       "4  126.0 GB       True  0.111563            8  2019-11-19  \n",
       "5  126.0 GB       True  0.923153            8  2019-11-19  \n",
       "6  126.0 GB       True  0.576011            8  2019-11-19  \n",
       "7  126.0 GB       True  1.250990            8  2019-11-19  \n",
       "8  126.0 GB       True  1.984675            8  2019-12-01  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = pd.read_csv('Benchmarks/benchmark_forwmulti.csv')\n",
    "display(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Time adjoint"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "dp0_adj = dRop.rmatvec(dfd_plus.flatten())\n",
    "\n",
    "exctime = np.array(repeat(lambda: dp0_adj.compute(), number=ntime, repeat=nrepeat))\n",
    "meantime, stdtime = np.mean(exctime/ntime), np.std(exctime/ntime)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame(dict(nworkers=nworkers, ncores=ncores, ram=total_ram(), \n",
    "                       subsampling=subsampling, ffirst=ffirst,\n",
    "                       meantime=meantime, stdtime=stdtime, \n",
    "                       nchunks=str(nchunks), rebalance=rebalance,\n",
    "                       nrepeat=nrepeat, ntime=ntime, nvs=nvs,\n",
    "                       time=date.today()), index=[0])\n",
    "\n",
    "# add to csv file\n",
    "header=True\n",
    "if os.path.isfile('Benchmarks/benchmark_adjmulti.csv'):\n",
    "    df_other = pd.read_csv('Benchmarks/benchmark_adjmulti.csv')\n",
    "    df = pd.concat([df_other, df])\n",
    "df.to_csv('Benchmarks/benchmark_adjmulti.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>ffirst</th>\n",
       "      <th>meantime</th>\n",
       "      <th>nchunks</th>\n",
       "      <th>ncores</th>\n",
       "      <th>nrepeat</th>\n",
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       "      <td>126.0 GB</td>\n",
       "      <td>True</td>\n",
       "      <td>0.192934</td>\n",
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       "      <td>8</td>\n",
       "      <td>2019-11-19</td>\n",
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       "      <td>True</td>\n",
       "      <td>9.510499</td>\n",
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       "      <td>48</td>\n",
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       "      <td>5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4</td>\n",
       "      <td>126.0 GB</td>\n",
       "      <td>True</td>\n",
       "      <td>0.822790</td>\n",
       "      <td>8</td>\n",
       "      <td>2019-11-19</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>True</td>\n",
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       "      <td>126.0 GB</td>\n",
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       "      <td>2019-11-19</td>\n",
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       "      <td>126.0 GB</td>\n",
       "      <td>True</td>\n",
       "      <td>1.284805</td>\n",
       "      <td>8</td>\n",
       "      <td>2019-12-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    ffirst   meantime          nchunks  ncores  nrepeat  ntime   nvs  \\\n",
       "0     True   8.600582  [3, 1226, 1226]      96        2      5   NaN   \n",
       "1     True   8.956256  [3, 1226, 1226]      96        2      5  10.0   \n",
       "2     True   7.389975  [3, 1226, 1226]      96        2      5   5.0   \n",
       "3     True  19.145758  [3, 1226, 1226]      96        2      5  25.0   \n",
       "4     True   6.548507  [3, 1226, 1226]      96        2      5   1.0   \n",
       "5     True  34.022356  [3, 1226, 1226]      96        2      5  50.0   \n",
       "6     True  10.215113  [6, 1226, 1226]      48        2      5   5.0   \n",
       "7     True   9.510499  [6, 1226, 1226]      48        2      5   1.0   \n",
       "8     True  25.904574  [6, 1226, 1226]      48        2      5  25.0   \n",
       "9     True  63.062070  [6, 1226, 1226]      48        2      5  50.0   \n",
       "10    True  35.354663  [3, 1226, 1226]      96        2      5  50.0   \n",
       "\n",
       "    nworkers       ram  rebalance   stdtime  subsampling        time  \n",
       "0          8  126.0 GB       True  0.705919            8  2019-11-18  \n",
       "1          8  126.0 GB       True  0.005198            8  2019-11-18  \n",
       "2          8  126.0 GB       True  0.279397            8  2019-11-18  \n",
       "3          8  126.0 GB       True  0.363112            8  2019-11-18  \n",
       "4          8  126.0 GB       True  0.192934            8  2019-11-18  \n",
       "5          8  126.0 GB       True  1.878412            8  2019-11-18  \n",
       "6          4  126.0 GB       True  0.833674            8  2019-11-19  \n",
       "7          4  126.0 GB       True  0.822790            8  2019-11-19  \n",
       "8          4  126.0 GB       True  0.190692            8  2019-11-19  \n",
       "9          4  126.0 GB       True  1.093918            8  2019-11-19  \n",
       "10         8  126.0 GB       True  1.284805            8  2019-12-01  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = pd.read_csv('Benchmarks/benchmark_adjmulti.csv')\n",
    "display(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table style='border: 3px solid #ddd;'>\n",
       "  <tr>\n",
       "     <td style='text-align: center; font-weight: bold; font-size: 1.2em; border: 2px solid #fff;' colspan='6'>Sun Dec 01 14:23:12 2019 CET</td>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <td style='text-align: right; background-color: #ccc; border: 2px solid #fff;'>Linux</td>\n",
       "    <td style='text-align: left; border: 2px solid #fff;'>OS</td>\n",
       "    <td style='text-align: right; background-color: #ccc; border: 2px solid #fff;'>12</td>\n",
       "    <td style='text-align: left; border: 2px solid #fff;'>CPU(s)</td>\n",
       "    <td style='text-align: right; background-color: #ccc; border: 2px solid #fff;'>x86_64</td>\n",
       "    <td style='text-align: left; border: 2px solid #fff;'>Machine</td>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <td style='text-align: right; background-color: #ccc; border: 2px solid #fff;'>64bit</td>\n",
       "    <td style='text-align: left; border: 2px solid #fff;'>Architecture</td>\n",
       "    <td style='text-align: right; background-color: #ccc; border: 2px solid #fff;'>126.0 GB</td>\n",
       "    <td style='text-align: left; border: 2px solid #fff;'>RAM</td>\n",
       "    <td style='text-align: right; background-color: #ccc; border: 2px solid #fff;'>Jupyter</td>\n",
       "    <td style='text-align: left; border: 2px solid #fff;'>Environment</td>\n",
       "  </tr>\n",
       "  <tr>\n",
       "     <td style='text-align: center; border: 2px solid #fff;' colspan='6'>Python 3.7.3 (default, Mar 27 2019, 22:11:17) \n",
       "[GCC 7.3.0]</td>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <td style='text-align: right; background-color: #ccc; border: 2px solid #fff;'>1.16.4</td>\n",
       "    <td style='text-align: left; border: 2px solid #fff;'>numpy</td>\n",
       "    <td style='text-align: right; background-color: #ccc; border: 2px solid #fff;'>1.3.0</td>\n",
       "    <td style='text-align: left; border: 2px solid #fff;'>scipy</td>\n",
       "    <td style='text-align: right; background-color: #ccc; border: 2px solid #fff;'>7.6.1</td>\n",
       "    <td style='text-align: left; border: 2px solid #fff;'>IPython</td>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <td style='text-align: right; background-color: #ccc; border: 2px solid #fff;'>3.1.0</td>\n",
       "    <td style='text-align: left; border: 2px solid #fff;'>matplotlib</td>\n",
       "    <td style='text-align: right; background-color: #ccc; border: 2px solid #fff;'>0.4.3</td>\n",
       "    <td style='text-align: left; border: 2px solid #fff;'>scooby</td>\n",
       "    <td style= border: 2px solid #fff;'></td>\n",
       "    <td style= border: 2px solid #fff;'></td>\n",
       "  </tr>\n",
       "  <tr>\n",
       "     <td style='text-align: center; background-color: #ddd;border: 2px solid #fff;' colspan='6'>Intel(R) Math Kernel Library Version 2019.0.4 Product Build 20190411 for Intel(R) 64 architecture applications</td>\n",
       "  </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "\n",
       "--------------------------------------------------------------------------------\n",
       "  Date: Sun Dec 01 14:23:12 2019 CET\n",
       "\n",
       "             Linux : OS\n",
       "                12 : CPU(s)\n",
       "            x86_64 : Machine\n",
       "             64bit : Architecture\n",
       "          126.0 GB : RAM\n",
       "           Jupyter : Environment\n",
       "\n",
       "  Python 3.7.3 (default, Mar 27 2019, 22:11:17)  [GCC 7.3.0]\n",
       "\n",
       "            1.16.4 : numpy\n",
       "             1.3.0 : scipy\n",
       "             7.6.1 : IPython\n",
       "             3.1.0 : matplotlib\n",
       "             0.4.3 : scooby\n",
       "\n",
       "  Intel(R) Math Kernel Library Version 2019.0.4 Product Build 20190411 for\n",
       "  Intel(R) 64 architecture applications\n",
       "--------------------------------------------------------------------------------"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scooby.Report()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "client.close()"
   ]
  }
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