tpc_h__pruning_filters.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import random\n",
    "\n",
    "statistics = [] # structure: array of chunk stats which are dicts\n",
    "\n",
    "length = 10_000\n",
    "for i in range(20):\n",
    "    statistics.append({\n",
    "        'length': length,\n",
    "        'min_bound': (i * length),\n",
    "        'max_bound': random.uniform(((i+1) * length)*0.8, ((i+1) * length)*1.2)\n",
    "    })"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    c_id  val\n",
      "0      1    2\n",
      "1      1    3\n",
      "2      2    3\n",
      "3      2    4\n",
      "4      3    4\n",
      "5      3    5\n",
      "6      4    6\n",
      "7      4    9\n",
      "8      5    6\n",
      "9      5    7\n",
      "10     6    7\n",
      "11     6    8\n",
      "12     7    8\n",
      "13     7    9\n",
      "14     8    9\n",
      "15     8    9\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "df = pd.DataFrame({'c_id': [1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8], 'val': [2,3,3,4,4,5,6,9,6,7,7,8,8,9,9,9]})\n",
    "\n",
    "print(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/martin/anaconda3/lib/python3.6/site-packages/ggplot/utils.py:81: FutureWarning: pandas.tslib is deprecated and will be removed in a future version.\n",
      "You can access Timestamp as pandas.Timestamp\n",
      "  pd.tslib.Timestamp,\n",
      "/Users/martin/anaconda3/lib/python3.6/site-packages/ggplot/stats/smoothers.py:4: FutureWarning: The pandas.lib module is deprecated and will be removed in a future version. These are private functions and can be accessed from pandas._libs.lib instead\n",
      "  from pandas.lib import Timestamp\n",
      "/Users/martin/anaconda3/lib/python3.6/site-packages/statsmodels/compat/pandas.py:56: FutureWarning: The pandas.core.datetools module is deprecated and will be removed in a future version. Please use the pandas.tseries module instead.\n",
      "  from pandas.core import datetools\n"
     ]
    }
   ],
   "source": [
    "from ggplot import *\n",
    "\n",
    "def plot_bound_distribution(df):\n",
    "    #, color='factor(chunk_id)')) + \\\n",
    "    return ggplot(df, aes(y='chunk_id', x='val', group='chunk_id')) + \\\n",
    "        geom_line() + \\\n",
    "        geom_point()# + \\\n",
    "#         scale_color_brewer(type='seq')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "predicates = ['L_SHIPDATE', 'L_ORDERKEY', 'L_COMMITDATE',\n",
    "              'L_RECEIPTDATE', 'L_SUPPKEY', 'L_DISCOUNT',\n",
    "              'L_QUANTITY', 'L_PARTKEY', 'L_RETURNFLAG']\n",
    "\n",
    "bseg_names = [\"RCLNT\",\"RLDNR\",\"RBUKRS\",\"GJAHR\",\"BELNR\",\"DOCLN\",\"RYEAR\",\"RRCTY\",\"RMVCT\",\"VORGN\",\"VRGNG\",\"BTTYPE\",\"AWTYP\",\"AWSYS\",\"AWORG\",\"AWREF\",\"AWITEM\",\"AWITGRP\",\"SUBTA\",\"XREVERSING\",\"XREVERSED\",\"XTRUEREV\",\"AWTYP_REV\",\"AWORG_REV\",\"AWREF_REV\",\"SUBTA_REV\",\"XSETTLING\",\"XSETTLED\",\"PREC_AWTYP\",\"PREC_AWORG\",\"PREC_AWREF\",\"PREC_AWITEM\",\"PREC_SUBTA\",\"RTCUR\",\"RWCUR\",\"RHCUR\",\"RKCUR\",\"ROCUR\",\"RVCUR\",\"RCO_OCUR\",\"RUNIT\",\"RVUNIT\",\"RRUNIT\",\"QUNIT1\",\"QUNIT2\",\"QUNIT3\",\"RACCT\",\"RCNTR\",\"PRCTR\",\"RFAREA\",\"RBUSA\",\"KOKRS\",\"SEGMENT\",\"SCNTR\",\"PPRCTR\",\"SFAREA\",\"SBUSA\",\"RASSC\",\"PSEGMENT\",\"TSL\",\"WSL\",\"HSL\",\"KSL\",\"OSL\",\"VSL\",\"KFSL\",\"PSL\",\"PFSL\",\"CO_OSL\",\"HSALK3\",\"KSALK3\",\"OSALK3\",\"VSALK3\",\"HSALKV\",\"KSALKV\",\"OSALKV\",\"VSALKV\",\"HPVPRS\",\"KPVPRS\",\"OPVPRS\",\"VPVPRS\",\"HSTPRS\",\"KSTPRS\",\"OSTPRS\",\"VSTPRS\",\"HSLALT\",\"KSLALT\",\"OSLALT\",\"VSLALT\",\"HSLEXT\",\"KSLEXT\",\"OSLEXT\",\"VSLEXT\",\"HVKWRT\",\"HVKSAL\",\"MSL\",\"MFSL\",\"VMSL\",\"VMFSL\",\"RMSL\",\"QUANT1\",\"QUANT2\",\"QUANT3\",\"LBKUM\",\"DRCRK\",\"POPER\",\"PERIV\",\"FISCYEARPER\",\"BUDAT\",\"BLDAT\",\"BLART\",\"BUZEI\",\"ZUONR\",\"BSCHL\",\"BSTAT\",\"LINETYPE\",\"KTOSL\",\"SLALITTYPE\",\"XSPLITMOD\",\"USNAM\",\"TIMESTAMP\",\"EPRCTR\",\"RHOART\",\"GLACCOUNT_TYPE\",\"KTOPL\",\"LOKKT\",\"KTOP2\",\"REBZG\",\"REBZJ\",\"REBZZ\",\"REBZT\",\"RBEST\",\"EBELN\",\"EBELP\",\"ZEKKN\",\"SGTXT\",\"KDAUF\",\"KDPOS\",\"MATNR\",\"WERKS\",\"LIFNR\",\"KUNNR\",\"KOART\",\"UMSKZ\",\"MWSKZ\",\"HBKID\",\"HKTID\",\"XOPVW\",\"AUGDT\",\"AUGBL\",\"AUGGJ\",\"AFABE\",\"ANLN1\",\"ANLN2\",\"BZDAT\",\"ANBWA\",\"MOVCAT\",\"DEPR_PERIOD\",\"ANLGR\",\"ANLGR2\",\"SETTLEMENT_RULE\",\"KALNR\",\"VPRSV\",\"MLAST\",\"KZBWS\",\"XOBEW\",\"SOBKZ\",\"VTSTAMP\",\"MAT_KDAUF\",\"MAT_KDPOS\",\"MAT_PSPNR\",\"MAT_PS_POSID\",\"MAT_LIFNR\",\"BWTAR\",\"BWKEY\",\"HPEINH\",\"KPEINH\",\"OPEINH\",\"VPEINH\",\"MLPTYP\",\"MLCATEG\",\"QSBVALT\",\"QSPROCESS\",\"PERART\",\"RACCT_SENDER\",\"ACCAS_SENDER\",\"ACCASTY_SENDER\",\"OBJNR\",\"HRKFT\",\"HKGRP\",\"PAROB1\",\"PAROBSRC\",\"USPOB\",\"CO_BELKZ\",\"CO_BEKNZ\",\"BELTP\",\"MUVFLG\",\"GKONT\",\"GKOAR\",\"ERLKZ\",\"PERNR\",\"PAOBJNR\",\"XPAOBJNR_CO_REL\",\"SCOPE\",\"LOGSYSO\",\"PBUKRS\",\"PSCOPE\",\"LOGSYSP\",\"BWSTRAT\",\"OBJNR_HK\",\"AUFNR_ORG\",\"UKOSTL\",\"ULSTAR\",\"UPRZNR\",\"ACCAS\",\"ACCASTY\",\"LSTAR\",\"AUFNR\",\"AUTYP\",\"PS_POSID\",\"PS_PSPID\",\"NPLNR\",\"NPLNR_VORGN\",\"PRZNR\",\"KSTRG\",\"BEMOT\",\"QMNUM\",\"ERKRS\",\"PACCAS\",\"PACCASTY\",\"PLSTAR\",\"PAUFNR\",\"PAUTYP\",\"PPS_POSID\",\"PPS_PSPID\",\"PKDAUF\",\"PKDPOS\",\"PPAOBJNR\",\"PNPLNR\",\"PNPLNR_VORGN\",\"PPRZNR\",\"PKSTRG\",\"CO_ACCASTY_N1\",\"CO_ACCASTY_N2\",\"CO_ACCASTY_N3\",\"CO_ZLENR\",\"CO_BELNR\",\"CO_BUZEI\",\"FKART\",\"VKORG\",\"VTWEG\",\"SPART\",\"MATNR_COPA\",\"MATKL\",\"KDGRP\",\"ACDOC_COPA_EEW_DUMMY_PA\",\"LAND1_PA\",\"KUNNV_PA\",\"AUFNU_PA\",\"PRONR_PA\",\"DISTC_PA\",\"DISTP_PA\",\"DIVIS_PA\",\"SYSTE_PA\",\"OTYPE_PA\",\"CONCE_PA\",\"BRANC_PA\",\"DISTR_PA\",\"REGIC_PA\",\"REGAR_PA\",\"REGI_PA\",\"SAPRE_PA\",\"SAPRA_PA\",\"CONTP_PA\",\"LFREC_PA\",\"PROGR_PA\",\"KEYCO_PA\",\"RCOMP_PA\",\"VVACO_PA\",\"VVDI2_PA\",\"VVCCE_PA\",\"VVSUN_PA\",\"KATR3_PA\",\"JMZAH_PA\",\"WWUMS_PA\",\"WWEVT_PA\",\"WWMBE_PA\",\"VKGRP_PA\",\"VKBUR_PA\",\"KATR5_PA\",\"KATR8_PA\",\"WWMSE_PA\",\"WWIND_PA\",\"WWSMT_PA\",\"WWDOC_PA\",\"WWRBN_PA\",\"RE_BUKRS\",\"RE_ACCOUNT\",\"FIKRS\",\"FISTL\",\"MEASURE\",\"RFUND\",\"RGRANT_NBR\",\"RBUDGET_PD\",\"SFUND\",\"SGRANT_NBR\",\"SBUDGET_PD\",\"VNAME\",\"EGRUP\",\"RECID\",\"VPTNR\",\"BTYPE\",\"ETYPE\",\"PRODPER\",\"SWENR\",\"SGENR\",\"SGRNR\",\"SMENR\",\"RECNNR\",\"SNKSL\",\"SEMPSL\",\"DABRZ\",\"PSWENR\",\"PSGENR\",\"PSGRNR\",\"PSMENR\",\"PRECNNR\",\"PSNKSL\",\"PSEMPSL\",\"PDABRZ\",\"ACDOC_EEW_DUMMY\",\"ZZSEEM_ORIG\",\"ZZUMBKZ\",\"ZZ_LOCATION\",\"ZZREF1\",\"ZZREF2\",\"ZZREF3\",\"ZZREF4\",\"ZZSPLIT\",\"MIG_SOURCE\",\"MIG_DOCLN\",\"_DATAAGING\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# orders = pd.read_csv('/Users/martin/Programming/tpch-dbgen/orders.tbl',\n",
    "#                      sep='|', index_col=False,\n",
    "#                      parse_dates=['O_ORDERDATE'], infer_datetime_format=True)\n",
    "# lineitems = pd.read_csv('/Users/martin/Programming/tpch-dbgen/lineitem.tbl',\n",
    "#                         sep='|', index_col=False,\n",
    "#                         parse_dates=['L_SHIPDATE', 'L_COMMITDATE', 'L_RECEIPTDATE'], infer_datetime_format=True)\n",
    "\n",
    "orders = pd.read_csv('/Users/martin/Programming/pruning_filters/JCC-H/orders.tbl',\n",
    "                     sep='|', index_col=False,\n",
    "                     parse_dates=['O_ORDERDATE'], infer_datetime_format=True)\n",
    "lineitems = pd.read_csv('/Users/martin/Programming/pruning_filters/JCC-H/lineitem.tbl',\n",
    "                        sep='|', index_col=False,\n",
    "                        parse_dates=['L_SHIPDATE', 'L_COMMITDATE', 'L_RECEIPTDATE'], infer_datetime_format=True)\n",
    "\n",
    "orders = pd.DataFrame()\n",
    "lineitems = pd.DataFrame()\n",
    "acdoca = pd.read_csv('/Users/martin/Programming/pruning_filters/acdoca_100k.csv',\n",
    "                        sep=',', index_col=False, error_bad_lines=False,\n",
    "                        quotechar='\"', names=bseg_names, low_memory=False)\n",
    "# print('Lengths:\\n\\t orders table: {:,}\\n\\t lineitems table: {:,}'.format(len(orders), len(lineitems)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>RCLNT</th>\n",
       "      <th>RLDNR</th>\n",
       "      <th>RBUKRS</th>\n",
       "      <th>GJAHR</th>\n",
       "      <th>BELNR</th>\n",
       "      <th>DOCLN</th>\n",
       "      <th>RYEAR</th>\n",
       "      <th>RRCTY</th>\n",
       "      <th>RMVCT</th>\n",
       "      <th>VORGN</th>\n",
       "      <th>...</th>\n",
       "      <th>ZZUMBKZ</th>\n",
       "      <th>ZZ_LOCATION</th>\n",
       "      <th>ZZREF1</th>\n",
       "      <th>ZZREF2</th>\n",
       "      <th>ZZREF3</th>\n",
       "      <th>ZZREF4</th>\n",
       "      <th>ZZSPLIT</th>\n",
       "      <th>MIG_SOURCE</th>\n",
       "      <th>MIG_DOCLN</th>\n",
       "      <th>_DATAAGING</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2005</td>\n",
       "      <td>J937596622</td>\n",
       "      <td>0L</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>RKL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>RKL</td>\n",
       "      <td>RKL</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2005</td>\n",
       "      <td>J937596623</td>\n",
       "      <td>0L</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>RKL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>RKL</td>\n",
       "      <td>RKL</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>2005</td>\n",
       "      <td>J937596624</td>\n",
       "      <td>0L</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>RKL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>RKL</td>\n",
       "      <td>RKL</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>2005</td>\n",
       "      <td>J937596625</td>\n",
       "      <td>0L</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>RKL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>RKL</td>\n",
       "      <td>RKL</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>2005</td>\n",
       "      <td>J933514066</td>\n",
       "      <td>0L</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>RKL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>RKL</td>\n",
       "      <td>RKL</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 342 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   RCLNT  RLDNR      RBUKRS GJAHR  BELNR  DOCLN RYEAR RRCTY RMVCT VORGN  \\\n",
       "0      1   2005  J937596622    0L      1      2   RKL   NaN   RKL   RKL   \n",
       "1      1   2005  J937596623    0L      1      2   RKL   NaN   RKL   RKL   \n",
       "2      1   2005  J937596624    0L      1      2   RKL   NaN   RKL   RKL   \n",
       "3      1   2005  J937596625    0L      1      2   RKL   NaN   RKL   RKL   \n",
       "4      1   2005  J933514066    0L      1      2   RKL   NaN   RKL   RKL   \n",
       "\n",
       "     ...     ZZUMBKZ ZZ_LOCATION ZZREF1 ZZREF2  ZZREF3 ZZREF4 ZZSPLIT  \\\n",
       "0    ...         NaN         NaN    NaN    NaN     NaN    NaN     NaN   \n",
       "1    ...         NaN         NaN    NaN    NaN     NaN    NaN     NaN   \n",
       "2    ...         NaN         NaN    NaN    NaN     NaN    NaN     NaN   \n",
       "3    ...         NaN         NaN    NaN    NaN     NaN    NaN     NaN   \n",
       "4    ...         NaN         NaN    NaN    NaN     NaN    NaN     NaN   \n",
       "\n",
       "  MIG_SOURCE  MIG_DOCLN _DATAAGING  \n",
       "0        NaN        NaN        NaN  \n",
       "1        NaN        NaN        NaN  \n",
       "2        NaN        NaN        NaN  \n",
       "3        NaN        NaN        NaN  \n",
       "4        NaN        NaN        NaN  \n",
       "\n",
       "[5 rows x 342 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "acdoca.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>L_ORDERKEY</th>\n",
       "      <th>L_PARTKEY</th>\n",
       "      <th>L_SUPPKEY</th>\n",
       "      <th>L_LINENUMBER</th>\n",
       "      <th>L_QUANTITY</th>\n",
       "      <th>L_EXTENDEDPRICE</th>\n",
       "      <th>L_DISCOUNT</th>\n",
       "      <th>L_TAX</th>\n",
       "      <th>L_RETURNFLAG</th>\n",
       "      <th>L_LINESTATUS</th>\n",
       "      <th>...</th>\n",
       "      <th>L_COMMENT</th>\n",
       "      <th>O_ORDERKEY</th>\n",
       "      <th>O_CUSTKEY</th>\n",
       "      <th>O_ORDERSTATUS</th>\n",
       "      <th>O_TOTALPRICE</th>\n",
       "      <th>O_ORDERDATE</th>\n",
       "      <th>O_ORDERPRIORITY</th>\n",
       "      <th>O_CLERK</th>\n",
       "      <th>O_SHIPPRIORITY</th>\n",
       "      <th>O_COMMENT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>58444</td>\n",
       "      <td>8153</td>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "      <td>23841.48</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.02</td>\n",
       "      <td>R</td>\n",
       "      <td>O</td>\n",
       "      <td>...</td>\n",
       "      <td>egular courts above the</td>\n",
       "      <td>1</td>\n",
       "      <td>19249</td>\n",
       "      <td>O</td>\n",
       "      <td>132580.38</td>\n",
       "      <td>1996-05-28</td>\n",
       "      <td>5-LOW</td>\n",
       "      <td>Clerk#000000951</td>\n",
       "      <td>0</td>\n",
       "      <td>nstructions sleep furiously among</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>170564</td>\n",
       "      <td>3759</td>\n",
       "      <td>2</td>\n",
       "      <td>36</td>\n",
       "      <td>58844.16</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.06</td>\n",
       "      <td>R</td>\n",
       "      <td>O</td>\n",
       "      <td>...</td>\n",
       "      <td>ly final dependencies: slyly bold</td>\n",
       "      <td>1</td>\n",
       "      <td>19249</td>\n",
       "      <td>O</td>\n",
       "      <td>132580.38</td>\n",
       "      <td>1996-05-28</td>\n",
       "      <td>5-LOW</td>\n",
       "      <td>Clerk#000000951</td>\n",
       "      <td>0</td>\n",
       "      <td>nstructions sleep furiously among</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>166954</td>\n",
       "      <td>3050</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>16167.60</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.02</td>\n",
       "      <td>R</td>\n",
       "      <td>O</td>\n",
       "      <td>...</td>\n",
       "      <td>riously. regular, express dep</td>\n",
       "      <td>1</td>\n",
       "      <td>19249</td>\n",
       "      <td>O</td>\n",
       "      <td>132580.38</td>\n",
       "      <td>1996-05-28</td>\n",
       "      <td>5-LOW</td>\n",
       "      <td>Clerk#000000951</td>\n",
       "      <td>0</td>\n",
       "      <td>nstructions sleep furiously among</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>164329</td>\n",
       "      <td>7727</td>\n",
       "      <td>4</td>\n",
       "      <td>28</td>\n",
       "      <td>39012.96</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.06</td>\n",
       "      <td>R</td>\n",
       "      <td>O</td>\n",
       "      <td>...</td>\n",
       "      <td>lites. fluffily even de</td>\n",
       "      <td>1</td>\n",
       "      <td>19249</td>\n",
       "      <td>O</td>\n",
       "      <td>132580.38</td>\n",
       "      <td>1996-05-28</td>\n",
       "      <td>5-LOW</td>\n",
       "      <td>Clerk#000000951</td>\n",
       "      <td>0</td>\n",
       "      <td>nstructions sleep furiously among</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2</td>\n",
       "      <td>127310</td>\n",
       "      <td>7474</td>\n",
       "      <td>1</td>\n",
       "      <td>38</td>\n",
       "      <td>50817.78</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.05</td>\n",
       "      <td>R</td>\n",
       "      <td>O</td>\n",
       "      <td>...</td>\n",
       "      <td>ven requests. deposits breach a</td>\n",
       "      <td>2</td>\n",
       "      <td>83355</td>\n",
       "      <td>O</td>\n",
       "      <td>187750.67</td>\n",
       "      <td>1996-05-28</td>\n",
       "      <td>1-URGENT</td>\n",
       "      <td>Clerk#000000880</td>\n",
       "      <td>0</td>\n",
       "      <td>foxes. pending accounts at the pending, silen...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   L_ORDERKEY  L_PARTKEY  L_SUPPKEY  L_LINENUMBER  L_QUANTITY  \\\n",
       "0           1      58444       8153             1          17   \n",
       "1           1     170564       3759             2          36   \n",
       "2           1     166954       3050             3           8   \n",
       "3           1     164329       7727             4          28   \n",
       "4           2     127310       7474             1          38   \n",
       "\n",
       "   L_EXTENDEDPRICE  L_DISCOUNT  L_TAX L_RETURNFLAG L_LINESTATUS  \\\n",
       "0         23841.48        0.04   0.02            R            O   \n",
       "1         58844.16        0.09   0.06            R            O   \n",
       "2         16167.60        0.10   0.02            R            O   \n",
       "3         39012.96        0.09   0.06            R            O   \n",
       "4         50817.78        0.00   0.05            R            O   \n",
       "\n",
       "                         ...                          \\\n",
       "0                        ...                           \n",
       "1                        ...                           \n",
       "2                        ...                           \n",
       "3                        ...                           \n",
       "4                        ...                           \n",
       "\n",
       "                            L_COMMENT O_ORDERKEY O_CUSTKEY O_ORDERSTATUS  \\\n",
       "0             egular courts above the          1     19249             O   \n",
       "1  ly final dependencies: slyly bold           1     19249             O   \n",
       "2       riously. regular, express dep          1     19249             O   \n",
       "3             lites. fluffily even de          1     19249             O   \n",
       "4     ven requests. deposits breach a          2     83355             O   \n",
       "\n",
       "  O_TOTALPRICE O_ORDERDATE  O_ORDERPRIORITY          O_CLERK O_SHIPPRIORITY  \\\n",
       "0    132580.38  1996-05-28            5-LOW  Clerk#000000951              0   \n",
       "1    132580.38  1996-05-28            5-LOW  Clerk#000000951              0   \n",
       "2    132580.38  1996-05-28            5-LOW  Clerk#000000951              0   \n",
       "3    132580.38  1996-05-28            5-LOW  Clerk#000000951              0   \n",
       "4    187750.67  1996-05-28         1-URGENT  Clerk#000000880              0   \n",
       "\n",
       "                                           O_COMMENT  \n",
       "0                 nstructions sleep furiously among   \n",
       "1                 nstructions sleep furiously among   \n",
       "2                 nstructions sleep furiously among   \n",
       "3                 nstructions sleep furiously among   \n",
       "4   foxes. pending accounts at the pending, silen...  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lineitems_full = pd.merge(lineitems, orders, how='inner', left_on=['L_ORDERKEY'], right_on=['O_ORDERKEY'])\n",
    "lineitems_full_sorted = lineitems_full.sort_values(by='O_ORDERDATE')\n",
    "\n",
    "lineitems = None # cleaning up a bit\n",
    "\n",
    "lineitems_full.head()\n",
    "\n",
    "# print(acdoca.iloc[:,:20])\n",
    "# acdoca.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import math\n",
    "\n",
    "CHUNK_SIZE = 100_000\n",
    "\n",
    "def create_statistics(df, chunk_size = CHUNK_SIZE):\n",
    "    chunk_statistics = {}\n",
    "\n",
    "    for chunk_id in range(math.ceil(len(df) / CHUNK_SIZE)):\n",
    "        chunk_start = chunk_id * CHUNK_SIZE\n",
    "        chunk_end = min((chunk_id+1) * CHUNK_SIZE, len(df))\n",
    "#         print('== Chunk #{}: \\t{} - {}'.format(chunk_id, chunk_start, chunk_end))\n",
    "        df_chunk = df.iloc[chunk_start:chunk_end]\n",
    "        chunk_statistics[chunk_id] = {'length': chunk_end - chunk_start}\n",
    "        for attr in predicates:\n",
    "#             print('{}: \\t {} - {}'.format(attr, df_chunk[attr].min(), df_chunk[attr].max()))\n",
    "            chunk_statistics[chunk_id][attr] = {'min': df_chunk[attr].min(),\n",
    "                                                'max': df_chunk[attr].max()}\n",
    "    return chunk_statistics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We build our exemplary data structure for each chunk\n",
    "\n",
    "`{\n",
    "    'chunk_id 1' : {\n",
    "        length: ...,\n",
    "        'stat_attr #1': {min: ..., max: ...}\n",
    "    }    \n",
    "...\n",
    "}\n",
    "`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "cs = create_statistics(lineitems_full)\n",
    "# cs = create_statistics(lineitems_full_sorted)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "L_SHIPDATE\n"
     ]
    },
    {
     "data": {
      "image/png": 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AAOzBzCgAAIbVtW0S4h87EdSNZtQhrrrqKj3++OOS9r1Nf9999xlOBACwy/5mJTk5WVVV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\nUUIIIYQQ4jb/D0yFmrvNj7WnAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x153f23438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<ggplot: (335547740)>\n",
      "L_ORDERKEY\n"
     ]
    },
    {
     "data": {
      "image/png": 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N9Pbbb7s6DlCkUnfM6L59+1S3bl3ddtttCgwMVPv27ZWQkKCcnBxXRwMAwC5mzZqlcePG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\nl156SUuXLtXSpUv1zW9+U0OHDtWiRYs0cuRInTt3TpcvX5b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      "text/plain": [
       "<matplotlib.figure.Figure at 0x111c59d68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<ggplot: (-9223372036468569228)>\n",
      "L_COMMITDATE\n"
     ]
    },
    {
     "data": {
      "image/png": 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SJv7yl7+EL/v9ft16660G0wAAAEQHM6MAANhE3S2T4AzsPlA/mlGbuPrqq/X4449LOvA2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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1747bd7b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<ggplot: (334138621)>\n",
      "L_RECEIPTDATE\n"
     ]
    },
    {
     "data": {
      "image/png": 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1bRLiH7sR1I5m1CGuuOIKPfLII5IOvE1/9913G04EALDDwUYlOTlZlZWVhtPUP5/P5+rF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\nEEIIIR5DxSghhBBCCPGY/wFDZZ1A5TzoqgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1137a6978>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<ggplot: (-9223372036484841682)>\n",
      "L_SUPPKEY\n"
     ]
    },
    {
     "data": {
      "image/png": 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gpKQErVq1wpAhQ+Ds7CwyLgCgadOmVvPOloiIqLZq1qwZ53MzWG0zCgADBgx4aPP47Oxs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\nPQAAAOxBMwoAAABjaEYBAABgDM0oAAAAjKEZBQAAgDE0owA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      "text/plain": [
       "<matplotlib.figure.Figure at 0x11baddb00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<ggplot: (-9223372036528073279)>\n",
      "L_DISCOUNT\n"
     ]
    },
    {
     "data": {
      "image/png": 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h2NhYdO/eHXfv3oW3tzccHR1FR5Ke3TajmzdvRlpamnlVuoeHB8aPHw/g/jUcR48eRWFh\nIVq0aIEhQ4agWrVqIuMCABo1asStnYiIiBSucePGdjNTbQt224wCwIABAx7ZPD47OxuHDh3CqFGj\n0KhRIxw8eBCHDx8Wfh94k8mE7du3Q6fToVevXtwkl4iISIHKysqwY8cOZGdno3///vD39xcdSXp2\n3Yz+mbNnz8LHxwfe3t4AgPDwcKxfvx4lJSVwcXERlmvBggX44IMPANy/9mfPnj0ICgoSloeIiIgs\n9+abb2Lbtm0AgHXr1uHAgQNo27at4FRys+tm9OjRozhy5Ajq1auH8PBwNG/eHDqdDk2aNDF/TZ06\ndeDo6Ijc3Fx4enoiPz8fBQUF5b6PXq+Hu7u7VbN+8skn5selpaU4duwYunTpYtUxrcnR0VHx172q\n1WqoVCqo1cr/34T1kAvrIRfWQy5Kr8enn35qflxcXIwTJ04gMDBQYCL5Kf+v9i/07dsXGo0Gjo6O\nOH/+PHbu3InXXnsNer3+kRlQV1dXlJSUAADOnDmDkydPlvt8nz59EBYWZtW8rVu3Rlpamvl49erV\nWL16tVXHJCIiIusKCAiARqMRHUNqdtuMenl5mR8HBgbi3LlzuHz5Mpydnc2N5wN/PEUfHBwMX1/f\ncp/X6/XQ6XRWzbty5UpMnDgRN27cQExMDObOnavoW4i5uLg88ntWGrVaDVdXVxQXF8NgMIiO81RY\nD7mwHnJhPeSi9HpcvXoVkyZNglarxbBhwxAeHm71HgKAohteu21GH6ZSqWAymaDRaJCVlWX+eF5e\nHgwGA+rWrQvg/qp7Dw+Pcv+tVqu1+mq4Bg0aICUlxW5W06vVasX/DMD9hWUGg0HxPwvrIRfWQy6s\nh1yUXg8vLy/s37+fq+ktYJe3Ay0qKsKVK1dQWlqKsrIynD17FtevX0erVq0QEBCAS5cu4fr169Dr\n9Th+/Dj8/f2FLl4iIiIiqqrscmbUaDTi2LFjyMnJgUqlQr169TBy5EjUq1cPABATE4OUlBQUFRWZ\n9xkVTavVYtq0aUhLS8OAAQMwffp0RZ+mJyIiqopu3ryJadOmQavVYujQoYiLixMdSXoq08M3RadH\naLVaq4/x7LPP4j//+Y/5ePXq1XjmmWesPq61KP12bgBvrycb1kMurIdcWA95DB48GGfOnDEfb9y4\nEYMGDbL6uJ6enlYfw1rscmZUia5evVruOC4uju+miIiIFO7h13d6FJtRSURFRWHTpk0A7l+8nZKS\ngk6dOglOVXFKf2cLcKZBNqyHXFgPubAe8pg2bRp27NgBAHB2dkZ4eLjgRPJjMyqJt99+G76+vtDp\ndOjduzfvvkRERKRAS5YsQfv27c23A23Xrp3oSNJjMyoJBwcHvPTSS3aztRMREVFV5OjoiDFjxtjN\nTLUtsBmVSHZ2NtLS0lCvXj04OjqKjkNEREQVkJWVhfz8fDRt2hQODna5i2al4m9IEl988QU6deqE\noKAg9O3bF3l5eaIjERERkYUOHDiA4OBg9OjRA9HR0cjPzxcdSXpsRiWxaNEiFBcXAwAuXbqErVu3\nCk5EREREllq4cCH0ej0A4Pz580hMTBScSH48TS+pZcuWYdmyZaJjEBEREVkVm1FJzJ49G6+//jpK\nSkrg4+ODlJQU1KlTR3SsClP61hwAt0qRDeshF9ZDLqyHPPbv34+JEyeitLQUbdq0wciRI0VHkh6b\nUUn0798fP/zwA0pKSqDRaKBWszRERERKM2TIEPTs2RP5+flo1qwZFzA9AXY8EmnQoAG3diIiIlK4\nhg0bomXLlnYxU20LbEYlYTQakZCQYN70PjAwUHQkIiIislBZWRm2bt3KTe8twGZUEvPnz8dHH30E\nAFi5ciX27NmD4OBgwamIiIjIErNmzcL27dsBAO+99x4OHDjAhvQxeCGDJD799FPzY4PBgCNHjghM\nQ0RERBXxx9fzkpISHDt2TGAaZeDMqCS8vb2Rnp5uPo6Pj0d8fLzARERERPS0vL29RUeQHptRSaxe\nvRpTp05FWloaoqOjMWvWLKhUKtGxKkzpW3MA3CpFNqyHXFgPubAe8rh+/TqmTZuGjIwMxMbGYvDg\nwaIjSY/NqCQaN26M3bt3czU9ERGRgjVr1gx79+61mzcHtsBrRomIiIhIGDajkkhPT8ewYcPQokUL\nzJ8/HyaTSXQkIiIistD169cRGxuLtm3bYsmSJaLjKAJP00siLi4Op0+fBnB/K4iWLVvi2WefFZyK\niIiILDFu3Dj89NNPAIBVq1ahdevWvG70MdiMSuLatWvljidPnozJkyeLCUNERESV4uHXd3oUm1FJ\nREdHmze9d3JyQkpKiqI3vVf6akiAq1Nlw3rIhfWQC+shj+nTp5s3vXdxcUF4eLjgRPJjMyqJefPm\nwd/f33w70A4dOoiORERERBZ69913ERAQAJ1Oh379+qFt27aiI0mPzagkHBwc8MILL3BrJyIiIgVz\ndHTEyy+/bDcz1bbAZlQimZmZuH79OurXrw+1mqUhIiJSIq1Wi7t376JZs2ZwdHQUHUd63NpJEp99\n9hlCQkIQEhKCyMhI5OXliY5EREREFtq/fz9CQkLQq1cvREVF4c6dO6IjSY/NqCQWL16MkpISAMDl\ny5eRkJAgOBERERFZauHCheZT8xcuXEBiYqLgRPLjueAn4OLiAgcH6/btD3//5cuXY/ny5VYdk4iI\niKzLxcUFbm5uomNITWXirX4eS6vVWn2ML774Aq+//jqKi4vh5+eH3bt3o3bt2lYf11qUvjUHwK1S\nZMN6yIX1kAvrIY+DBw9iwoQJ0Ov1aNeuHXbv3o0aNWpYfVxPT0+rj2EtnBmVRL9+/XDmzBno9XrU\nrVuXFzwTEREp0KBBg9CjRw/cvXsXTZs2hUqlEh1JemxGJaLRaLi1ExERkcI1aNAALVq0sIuZaltg\nMyoJo9GILVu2mDe9DwoKEh2JiIiILGQwGJCQkICsrCxERUWhffv2oiNJj82oJN5++21s2rQJALB6\n9Wrs3r0bISEhglMRERGRJWbOnImdO3cCADZs2IADBw6wIX0Mbu0kic8++8z82GAw4NixYwLTEBER\nUUV8/vnn5sd6vR7Hjx8XmEYZODMqiebNmyM9Pd18HB8fj/j4eIGJiIiI6Gk1b95cdATpsRmVxOrV\nqzF9+nSkpaUhOjoa06dPV/QKPKVvzQFwqxTZsB5yYT3kwnrI4+bNm5g2bRoyMzMxZMgQDBo0SHQk\n6bEZlYSnpyd27drF1fREREQK1qRJE6SkpNjNmwNb4DWjRERERCQMm1FJpKWlYejQoWjWrBnmzp0L\n3hiLiIhIea5du4ZBgwbBz88P77zzjug4isBmVBJxcXE4ffo0bty4gY0bN2LXrl2iIxEREZGF/vnP\nf+Lbb7/FzZs3sXbtWuzfv190JOnxmlFJXL9+vdzxlClTMGXKFEFpiIiIqDI8/PpOj2IzKomYmBi8\n//77AO6vity7dy86duwoOFXFKX01JMDVqbJhPeTCesiF9ZDHzJkzsXXrVgCAq6srIiIiBCeSH5tR\nScyZMwf+/v7Q6XTo1asX79ZARESkQIsXL0aHDh2g0+nQr18/+Pn5iY4kPTajklCpVBg1ahS3diIi\nIlIwBwcHvPjii3YzU20LbEYlotVqkZqaioYNG8LJyUl0HCIiIqqAtLQ05Ofno3nz5lCr2Wo9DlfT\nS+LTTz9F586d0bVrV0RERCA3N1d0JCIiIrLQ3r170blzZ4SGhiIqKgp37twRHUl6bEYlsXjxYuj1\negDA77//br74mYiIiJTjnXfegcFgAABcvHgRiYmJghPJj3PHknBwKP++YPny5Vi+fLmgNERERFQZ\nHn59p0exGZXEnDlz8Nprr6GoqAj+/v5ITk5G7dq1RceqMKVvzQFwqxTZsB5yYT3kwnrI4/Dhwxg/\nfjxKSkoQEBCAkSNHio4kPTajkoiMjMSZM2dQWlqKOnXq8J0UERGRAg0cOBDdu3fHvXv30LhxY6hU\nKtGRpMdmVCL16tXj1k5EREQKV79+fbuZqbYFNqOSKCsrQ0JCAnQ6HUJDQxEcHCw6EhEREVnIYDBg\n8+bNyMrKQnR0NDp06CA6kvTYjEpi3rx52Lx5MwBg7dq1SElJQUhIiOBUREREZIkZM2aYV9C///77\n2L9/PwICAgSnkhsvTJTEF198YX5cVlaGY8eOCUxDREREFfHH13O9Xo8TJ06IC6MQnBmVRIsWLZCe\nnm4+jo+PR3x8vMBERERE9LRatGghOoL0VCaTySQ6hOy0Wq3Vx8jMzMSMGTOQlpaG6OhoTJ061epj\nWpPSt+YAuFWKbFgPubAecmE95JGWloYZM2YgIyMDsbGxmDBhgk3G9fT0tMk41sCZUUk0bNgQO3bs\n4Gp6IiIiBfPy8kJSUpLdvDmwBbtvRnNzc7Fhwwa0adMGw4YNAwCcPXsWR48eRWFhIVq0aIEhQ4ag\nWrVqgpMSERERVT12v4Dp8OHDaNy4sfk4Ozsbhw4dwtChQzF16lQ4OTnh8OHDAhPed/PmTQwZMgRe\nXl546623YDQaRUciIiIiC6WmpmLgwIHw8fHBggULRMdRBLueGT137hxcXV2h0WiQl5cH4P6sqI+P\nD7y9vQEA4eHhWL9+PUpKSuDi4oL8/HwUFBSU+z56vR7u7u5WzTp58mR88803AIAPPvgA/v7+eP75\n5606pjU5OjrCyclJdIynolaroVKpoFYr/38T1kMurIdcWA+5KL0eEyZMwE8//QQAWL9+Pdq1a4e/\n/e1vglPJTfl/tX+huLgYx48fx9///nf8+OOP5o/rdDo0adLEfFynTh04OjoiNzcXnp6eOHPmDE6e\nPFnue/Xp0wdhYWFWzZuWllbuOC4uDnFxcVYdk4iIiKwrNzcXGo1GdAyp2W0zevz4cQQFBaFmzZrl\nPq7X6+Hi4lLuY66urigpKQEABAcHw9fX95H/RqfTWTVvTEwMNmzYAABwdnbGwYMH0bFjR6uOaU0u\nLi7m36lSqdVquLq6ori4GAaDQXScp8J6yIX1kAvrIRel12P69OnYsmULgPv9Rffu3a3eQwBQdMNr\nl81oRkYGUlNT8eqrrz7yOWdn50f+yB+cogcADw8PeHh4lPu8Vqu1+mq4N998E35+fsjJyUHPnj3R\ntm1bRa/AU6vVis7/gMlkgsFgUPzPwnrIhfWQC+shF6XXY+HChejQoQN0Oh0iIiLg4+Oj6J/HFuyy\nGb127Rpu376N1atXA7g/s2kymbBx40a0atUKWVlZ5q/Ny8uDwWBA3bp1RcUFAKhUKowcOZJbOxER\nESmYg4MDnn/+eW7tZAG7bEaDg4PRrl078/HXX3+N27dvIyYmBvfu3cNHH32E69evo1GjRjh+/Dj8\n/f0fOXUvQlpaGi5fvgxPT084OzuLjkNEREQVcOPGDdy5cwctW7ZU9GIsW7HLZtTZ2blcM+fs7Ay1\nWg13d3e4u7sjJiYGKSkpKCoqMu8zKtrhw4cxbtw4lJaWokWLFti7dy/q1asnOhYRERFZICUlBZMn\nT4bBYICvry/27NmDWrVqiY4lNbtsRh/28Er4gIAABAQECErz55YsWWKeyk9NTcXWrVu5mp6IiEhh\nFi9ebF5EdunSJSQmJuK1114TnEpuVaIZVQJHR8dyxytWrMCKFSsEpSEiIqLK8PDrOz2Kzagk5s6d\ni1dffRWFhYVo06YNkpOTFT2t7+bmhqKiItExnoqTk5PdXIDOesiF9ZAL6yEXpdfj008/xbhx41BS\nUoLAwEA899xzoiNJj82oJMLDw/Hjjz/CYDCgVq1aUKlUoiMRERGRhaKjo/HTTz+hsLAQjRo1Eh1H\nEdiMSqROnTrc2omIiEjh6tWrZzcz1bbAZlQSZWVl2LJlC7KzsxEaGorOnTuLjkREREQWKi0txUcf\nfYSsrCxER0cjKChIdCTpsRmVxNy5c823D1u/fj12797NhpSIiEhhpk+fjqSkJADAhx9+iP3796ND\nhw6CU8nNQXQAuu/LL780Py4rK8Px48cFpiEiIqKK+OPreWlpKU6ePCkwjTJwZlQSrVq1Qnp6uvk4\nPj4e8fHxAhMRERHR02rVqpXoCNJTmUwmk+gQstNqtVYfIysrCzNnzkRaWhqio6MxefJkq49pTUrf\nmgPgVimyYT3kwnrIhfWQR3p6OmbOnImMjAwMHToU48aNs8m4np6eNhnHGjgzKokGDRpg27ZtXE1P\nRESkYI0bN0ZiYqLdvDmwBV7AJWo3AAAgAElEQVQzSkRERETCsBmVxI0bNxATEwNPT0/MmjULRqNR\ndCQiIiKy0O+//47o6Gi0bNkS8+bNA6+GfDw2o5KIi4vDd999h4yMDGzatAmJiYmiIxEREZGFxo8f\njzNnziAzMxP/+te/sG/fPtGRpMdrRiVx8+bNcsfTpk3DtGnTBKUhIiKiypCWliY6gvTYjEpiyJAh\n2LBhAwDAxcUFe/fuVfQmuUpfDQlwdapsWA+5sB5yYT3k8dZbb2Hz5s0A7v8skZGRghPJj82oJN58\n8020bdsWOTk56NGjB/z9/UVHIiIiIgstWLAAHTt2RHZ2NiIjI9G6dWvRkaTHZlQSKpUKI0aM4NZO\nRERECubg4ICRI0fazUy1LbAZlciNGzfw22+/wcvLCy4uLqLjEBERUQVcu3YNd+7cQevWreHk5CQ6\njvS4ml4SBw4cQLdu3dC7d2+Eh4dDp9OJjkREREQWSk5ORrdu3dC3b1/07dsXeXl5oiNJj82oJJYt\nW2aeyr927Rq2bdsmOBERERFZasmSJSgrKwMAXL58GUlJSYITyY+n6SXx8DT+ihUrsGLFCkFpiIiI\nqDKo1Wy1Hoe/IUnMmzcPY8eORWFhIdq1a4ekpCTUrFlTdKwKU/rWHAC3SpEN6yEX1kMurIc8Pv/8\nc7zxxhsoLi5GUFAQnnvuOdGRpMdmVBKhoaH4+eefUVZWBg8PD9FxiIiIqAL69++PX375BYWFhWjQ\noAFvB/oEeM2oRGrVqgU/Pz+uvCMiIlKw2rVrw8fHh6fonxB/S5IwGAzYtGkTsrOzERYWhq5du4qO\nRERERBbS6/V4//33kZ2djQEDBiA4OFh0JOmxGZXEnDlzkJCQAADYsGEDdu/ejS5dughORURERJaY\nNm0adu/eDQD46KOPsH//fgQGBgpOJTeeppfE0aNHzY+NRiNOnDghLgwRERFVyB9fzw0GA06dOiUw\njTJwZvQJuLi4wMHBun27r68v0tPTzcfx8fGIj4+36phERERkXW3btoWbm5voGFJTmbjM67G0Wq3V\nx8jOzsasWbOQnp6O6OhoTJw40epjWpPSt+YAuFWKbFgPubAecmE95KHVavHmm28iIyMDsbGxeP31\n120yrqenp03GsQbOjEqifv36SEhIgEajgU6nU/yTCRERUVXk6emJ7du3282bA1vgNaNEREREJAyb\nUUlcv34d0dHRaNCgAWbMmAGj0Sg6EhEREVnoypUr6NevH7y9vTFnzhxuev8E2IxKYvLkyThz5gyy\ns7OxefNm7Ny5U3QkIiIistD48ePx888/Q6fT4f3338fevXtFR5IerxmVRFpaWrnj6dOnY/r06YLS\nEBERUWX440459OfYjEoiNjYW69evB3B/K6n9+/ejffv2glNVnNJXQwJcnSob1kMurIdcWA95zJ07\nF5s2bQIAVKtWDf369ROcSH5sRiUxa9YstG3bFjk5OejevTv8/PxERyIiIiILzZ8/H4GBgcjJyUF4\neDhatWolOpL02IxKZNiwYdzaiYiISMFUKhWeffZZu5mptgU2oxK5du0aLly4gKZNm8LFxUV0HCIi\nIqqA1NRU3L59G76+vnB2dhYdR3pcTS+J/fv3o3v37ggNDUVoaCiys7NFRyIiIiIL7dq1Cz169EBU\nVBQiIyORl5cnOpL02IxKYvny5TAYDACAGzduYPv27YITERERkaWWLVuGsrIyAMDvv/+OpKQkwYnk\nx9P0knBycip3vGLFCqxYsUJQGiIiIqoMD7++06NUJt4a4LG0Wq3Vxzh16hReeeUV3Lt3DwEBAdi1\naxc8PDysPq61KH1rDoBbpciG9ZAL6yEX1kMeX3zxBd544w0UFRUhODgYiYmJqFatmtXH9fT0tPoY\n1sKZUUn07t0bv/zyC4xGI6pXr87bhxERESlQv379cPbsWRQVFUGj0fD23k+A14xKxMPDA61bt4Za\nzfcIRERESlWzZk20bNkSjo6OoqMoArseSRgMBnzwwQfIzs5GWFgYevToIToSERERWUiv1+Nf//oX\nsrKyMHDgQISEhIiOJD02o5KYPXs2tm3bBgB4//33kZSUhG7duglORURERJaYMmUK9uzZAwDYvHkz\n9u7di6CgIMGp5MbT9JI4duyY+bHRaMSpU6cEpiEiIqKKOH78uPmxwWDAf/7zH4FplIEzo5Lw9fUt\nt2o/Pj4e8fHxAhMRERHR0/Lx8REdQXrc2ukJ2GJrJ51Oh9mzZyM9PR1RUVEYP3681ce0JqVvzQFw\nqxTZsB5yYT3kwnrIIyMjA2+99RYyMjIQGxuLf/zjHzYZl1s70VPTaDTYvHkzNBoNdDqd4p9MiIiI\nqqJGjRohISHBbt4c2AKvGSUiIiIiYdiMSuLq1avo378/6tWrh6lTp3KTXCIiIgW6fPkyIiIi0LRp\nU8yePZs3sXkCbEYlMXnyZPz000/Izc1FQkICduzYIToSERERWWj8+PE4d+4ccnNz8eGHH5q3eaK/\nxmtGJfHwIqkZM2ZgxowZgtIQERFRZbDFImilYzMqiaFDh2LdunUAAFdXV+zfvx/t2rUTnKrilL4a\nEuDqVNmwHnJhPeTCeshj3rx5+OijjwAA1apVQ//+/QUnkh+bUUnMnDkT7du3R05ODrp168Z9yYiI\niBTo7bffRlBQEHQ6HcLDw9GiRQvRkaT32Gb0j3cG+r+Eh4c/dZjKlJKSgqtXr0Kv16N69ero0aMH\ngoODAQCpqak4fPgw7ty5Ay8vL8TGxqJWrVqCEwOxsbHc2omIiEjBVCoVhg8fbjcz1bbw2GZ0zJgx\n5Y7T09OhUqlQt25d5ObmwmQywcvLC6mpqVYLWRG9evXCkCFDoFarodPpsGXLFjRq1Ag1a9bErl27\nMHjwYPj4+OD48eNITk7G2LFjRUdGamoqzp07h2bNmsHNzU10HCIiIqqAK1eu4NatW/D394eLi4vo\nONJ77Gr6q1evmv8ZO3Ysxo8fj1u3bkGr1eLWrVuYMGGCFI3cw+rXrw+1+n6vrVKpoFKpkJeXh4sX\nL0Kj0aBt27ZwcnJCaGgosrKyoNPphObdu3cvevTogYiICISHhyMrK0toHiIiIrLczp070bNnTwwc\nOBCRkZHIy8sTHUl6Ft0OVKPRQKvVwsnJyfyx0tJSeHp6Cm/m/syhQ4fw888/w2AwoGHDhnj55Zdx\n7NgxlJWVISYmxvx17733HsLCwtCmTRvk5+ejoKCg3PfR6/Vwd3e3atYuXbrg6tWr5uPp06dj6tSp\nVh3TmlxcXFBSUiI6xlNRq9VwdXVFcXExDAaD6DhPhfWQC+shF9ZDLkqvR0BAADIzM83H8+bNw7hx\n46w+rkajsfoY1mLRAiZ3d3d899136NGjh/lj33//PapVq1bpwSpDTEwMBgwYgJs3b+LatWtQq9XQ\n6/WP5HV1dTX/4Z85cwYnT54s9/k+ffogLCzMqlkfzrRs2TIsW7bMqmMSERGRddWtW1fRjaItWNSM\nLly4EFFRURg0aBCaNGmCmzdv4tChQ3jvvfesle+pOTg4oFmzZjh79iy+//57ODs7P/KOq6SkxHxN\nR3BwMHx9fct9Xq/XW33md/78+XjppZdQUFCAjh07Yvfu3ahRo4ZVx7Qmpb+zBTjTIBvWQy6sh1xY\nD3l8+eWXGDt2LAoLC9GlSxcMGjTIJmePldzwWtSMvvDCCwgODkZKSgq0Wi38/Pzw1ltvoU2bNtbK\nV2mMRiNu3boFjUaDX375xfxxvV6PvLw8cxE9PDzg4eFR7r/VarVWXw3XrVs3nD17FiaTCdWqVYPR\naFT0Cjy1Wq3o/A+YTCYYDAbF/yysh1xYD7mwHnJRej1CQ0Nx9uxZFBcXo27duop/PbcFi/cZbdOm\njfTNZ0FBAa5evQofHx84OTkhNTUV58+fx7Bhw9CkSRN8+eWXuHDhAlq3bo2TJ0+iQYMGUryjqF69\nunlrJ96bnoiISJk8PDzQqFEj3Lt3j6/nT+Cxzeg//vEPfPDBBwDuz4yqVKo//bqEhITKTfYUVCoV\nfvjhBxw6dAgmkwm1atVCVFQU/Pz8AADPPPMMPvnkE+zZsweNGzfG8OHDBSe+vxBs48aNyM7ORlhY\nGHr16iU6EhEREVmopKQE7733HrKysjBw4EB06dJFdCTpPbYZbd68uflxq1atrBqmsri7u+Pll1/+\ny8+3bNkS48ePt2Gix5s9eza2b98OAPjwww+xa9cudO/eXXAqIiIissSUKVOwd+9eAMCWLVuwd+9e\n80136M89thmdNWuW+fG8efMe+w2XLFmCmTNnPl2qKujEiRPmx0ajEV999RWbUSIiIoX54+t5WVkZ\nTp8+zWb0MSzaZ/RJeHh4ID8/vzK/pXBardbqY7zwwgtPfOtVIiIiUoaPP/4Y/fv3t/o4np6eVh/D\nWixewPQ4ldzbVhmrV6/GnDlzkJ6ejqioKLzxxhuiIz0VNzc3FBUViY7xVJycnOzm3sKsh1xYD7mw\nHnJRej0yMzMxZ84cZGZmYsiQITZpRJWu0pvRv1rgRP+3evXq4aOPPjKvplf6kwkREVFV1LBhQ2zZ\nssVu3hzYwmPvTU9EREREZC2V3ozyNH3FpKamIjIyErVr18bkyZNRVlYmOhIRERFZ6NKlSwgNDUXj\nxo0xc+ZM9kVPwKJm9K9uMXb79m3zY+6PWTGTJ0/G2bNncfv2bWzbtg07duwQHYmIiIgsNGHCBFy4\ncAG3b9/Gxx9/jJSUFNGRpGfRavoRI0YgKSmp3HWhubm56Nu3L3788UerBJSBLVbTd+nSBWlpaVYf\nh4iIiGxn5syZNtnbvMqspndycsIrr7yCTZs2AQCys7MRERGB2NhYq4SrSoYPH441a9YAuL+ScN++\nfWjXrp3gVBWn9NWQAFenyob1kAvrIRfWQx7z588337nS3d0dUVFRghPJz6KZUYPBgNjYWLRu3Roz\nZsxAeHg4Ro0ahbfeesuaGYWzxcwoAHz22WfIyclB165dFXO3q7+i9CcTgE/usmE95MJ6yIX1kMuh\nQ4eg0+kQFhYGb29vm4xZZWZG1Wo1du/ejaioKLRt2xazZs3C1KlTrZWtyhk0aBC3diIiIlK4oUOH\n2s2bA1t4bDP6wgsvPLJ3aM2aNaFWq3H27Fm8+OKLAICEhATrJKxCrly5gp9//hnNmzdHtWrVRMch\nIiKiCvjf//6HvLw8tG3bFq6urqLjSO+xzehfnS4OCgqq9DBVWUpKCuLi4lBWVgYvLy/s378fDRs2\nFB2LiIiILLB9+3bMnDkTRqMR3t7eOHDgAOrWrSs6ltQe24zOmzfPFjmqvFWrVpn3Fk1LS8POnTsR\nFxcnOBURERFZYuXKlTAajQCAa9euITk5Ga+99prgVHKz+Hagly5dwi+//IKCgoJyHx89enSlhaqK\nHp7GX7FiBVasWCEoDREREVUGZ2dn0RGkZ9Fq+sWLF2PBggXo0KFDuWsaVSoVjh07ZpWAMrDFavrT\np09jzJgxuHv3LoKCgrBz505Ur17d6uNaiz2shuTqVLmwHnJhPeTCesjj2LFjePXVV1FYWIiuXbti\n27ZtcHNzs/q4Sl5Nb1EzWr9+fRw5cgQBAQHWzCQdW23tVFJSApVKBVdXV/MUv1Ip/ckE4JO7bFgP\nubAecmE95FJSUoKSkhLUrl3bZrf3VnIzatHtQN3c3ODn52etLFVe9erV4e3tDUdHR9FRiIiIqIKq\nV6+Opk2bwsHBojaryrLot7Rw4UKMHz8eGRkZMBqN5f6hp6PX67F27VqMHTsWR48eFR2HiIiIKqC4\nuBgrV67EuHHjcPLkSdFxFMGi0/QPOvw/7jtqMpmgUqlsNg0tgi1O00+dOhU7d+4EcP/3u2vXLvTo\n0cPq41qLPZxm4WkvubAecmE95MJ6yGPcuHHYt28fAMDR0RF79uxBp06drD6ukk/TW7Sa/urVq9bK\nUeX98d2TyWTCf/7zH0U3o0RERFXRH1/Py8rK8PXXX9ukGVUyi5rRZs2aWStHlefv719uBjY+Ph7x\n8fECExEREdHT4lqbx7PoNP2f3Rr0AXu+HagtTtPn5eVh7ty5SE9PR//+/RW/Qa7ST7MAPO0lG9ZD\nLqyHXFgPeWRnZ2Pu3LnIyMhAbGwsXn75ZZuMW2VO0z98a9DMzEzs3r0bzz//fKWGqorq1KmD999/\nHxqNBjqdTvFPJkRERFVR/fr1sWnTJrt5c2ALFjWjf3Zr0DFjxmD+/PmVFoiIiIiIqo6n3gArMDCQ\nWxdUgitXriA8PBweHh6YOHGiXe9OQEREZK9+++039OnTB40aNcK0adO4/eUTsGhm9OFbfhYWFiIx\nMRFt2rSp1FBV0ZQpU3D+/HkAwM6dOxEQEIAXX3xRcCoiIiKyxPjx43Hx4kUAwL///W907NgRI0aM\nEJxKbhY1o2PGjCl37O7ujsDAQPP+mPbKxcXF6ndRyMrKKnc8a9YszJo1y6pjEhERkXXl5uba5N70\nSsZ9Rp9ASUmJ1ccYPnw4Vq9eDQCoVq0a9u3bh7Zt21p9XGtR+mpIgKtTZcN6yIX1kAvrIY+FCxdi\n48aNAO7fFjQyMtImP0/t2rWtPoa1WNSMPpCdnY2CgoJyH2vRokWlBKqqpk6dioCAAOTm5qJLly78\nfRIRESnQnDlz0KlTJ+h0OoSGhqJp06aiI0nPomb0s88+w5gxY5CRkVHu4/Z+O1BbGThwILd2IiIi\nUrjBgwfbzUy1LVh0IeS4ceMwZ84c3Lt3D0aj0fwPG9HK8b///Q+fffYZbt++LToKERERVdDFixfx\nxRdfID8/X3QURbCoGb116xZeffVVXohrBcnJyejduzeio6MRGhpqk7s+ERERUeXaunUrQkNDMXTo\nUISHhyMnJ0d0JOlZ1IyOGTMGmzdvtlaWKm3NmjXmvci0Wi0SExMFJyIiIiJLrV69Gg/utH7jxg0k\nJycLTiS/x96bvlevXub70ZtMJnz77bfw9vZGw4YNy33dqVOnrJdSMFvMUkZEROC3336z+jhERERk\nO4sWLbLJ/emVfG/6xzaj//73v5/oG/3973+vlEAyskUz+s0332D06NHIz89Hp06dsGPHDri7u1t9\nXGtR+tYcALdKkQ3rIRfWQy6shzxOnDiBf/zjH7h37x66d++OhIQEm1zeaNfN6B9NmDABI0eORPfu\n3c0f+/rrr5GUlIQ1a9ZYJaAMbHX9ZmlpKRwcHODs7Kz4RWFKfzIB+OQuG9ZDLqyHXFgPuej1epSW\nlqJmzZowGAw2GVPJzahF14zu3LkTnTp1Kvex4OBg7Nixo1JDVVXVqlVDkyZNrH63JyIiIrIed3d3\nNG7c2HyZI/3fLNpn9M/2Ey0rKzMvvKGK0+v1WLduHbKyshAREYGwsDDRkYiIiMhCRUVFWL16NbKy\nshATE4OePXuKjiQ9i6bgevXqhTlz5pibT6PRiLfffhu9evWySriqZNasWViyZAk2b96MF154AV99\n9ZXoSERERGShyZMnY8WKFdi6dStGjRqF77//XnQk6VnUjK5duxZHjhxBo0aN0LlzZ3h6euLLL7/E\nunXrrJWvyvjjbgQmkwmnT58WmIaIiIgq4o+TSWVlZfj6668FplEGixYwAfdnQ7/77jvcvHkTTZo0\nQefOne3+GkdbLGD6+9//jiNHjlh9HCIiIrKdLVu2oG/fvlYfR8kLmCxuRqsiWzSjeXl5mDdvHrRa\nLaKiojB27Firj2lN9rAakqtT5cJ6yIX1kAvrIQ+dTod58+YhMzMTsbGxePHFF20yrpKbUYsWMJH1\n1KlTBxs3boRGo4FOp1P8kwkREVFVpNFo8OGHH9rNmwNbsO/z60REREQkNTajkrhy5Qr69OmD6tWr\n45///KfNNsklIiKiynPhwgX07NkT9evXx5QpU7j95RNgMyqJyZMn4+LFi7h37x6SkpKwfft20ZGI\niIjIQhMmTMD//vc/3Lt3D1u3bsXu3btFR5IerxmVRFZWVrnjN998E2+++aagNERERFQZHn59p0ex\nGZXEyJEjsWLFCgD3bwt64MAB+Pv7C05VcUpfDQlwdapsWA+5sB5yYT3k8c4772DDhg0AgBo1aiA6\nOlpwIvmxGZVEXFwcAgICkJubi86dO8Pb21t0JCIiIrLQ7Nmz0alTJ+h0OvTp0wdNmjQRHUl6bEYl\nEhUVxa2diIiIFC4mJsZuZqptgc2oRH777Td89913aN26NapXry46DhEREVXAr7/+iry8PAQEBKBa\ntWqi40iPq+klsWvXLoSGhiImJgahoaE2uesTERERVa5///vfCA8Px7BhwxAREQGdTic6kvTYjEoi\nPj7evBdZRkYGEhMTBSciIiIiS61duxYP7rR+48YNbu30BHiaXhJubm7ljleuXImVK1cKSkNERESV\n4eHXd3oUm1FJLFq0CKNHj8adO3cQEhKC7du3w93dXXSsClP61hwAt0qRDeshF9ZDLqyHPE6dOoWx\nY8eioKAAPXv2xMiRI0VHkh6bUUl07doV586dg6OjI9RqNW8HSkREpEC9e/fGr7/+itLSUtSoUYOv\n50/ALptRg8GAw4cPIzU1FUVFRahTpw4iIiLQunVrAEBqaioOHz6MO3fuwMvLC7GxsahVq5bg1ICr\nq6t5ayciIiJSJjc3N9SrVw/37t0THUUR7LIZNRqN8PDwwEsvvYSaNWvi8uXLSE5Oxuuvvw5nZ2fs\n2rULgwcPho+PD44fP47k5GSMHTtWaOaSkhKsWbMGWVlZiIiIQGRkpNA8REREZLmioiKsXLkSmZmZ\nGDRoEHr37i06kvTsshl1dnZGWFiY+djX1xe1atVCRkYGCgsLodFo0LZtWwBAaGgoli1bBp1OB41G\nIyoyZs6ciaSkJADA1q1bsWPHDv4BExERKcykSZNw6NAhAEBiYiL27NmDkJAQwankZpfN6MMKCgqQ\nm5sLjUaDH374AQ0bNjR/ztnZGbVr1zY3o/n5+SgoKCj33+v1eqsvJjp9+rT5sclkwrfffouIiAir\njmlNjo6OcHJyEh3jqajVaqhUKqjVyv/fhPWQC+shF9ZDLkqvx9dff21+bDQa8e2336J79+4CE8lP\n+X+1j1FWVoaUlBQEBgZCo9FAr9c/cjcEV1dXlJSUAADOnDmDkydPlvt8nz59ys20WkNwcDDS09PN\nx2vWrMGaNWusOiYRERFZV48ePYSeeVUCu25GjUYj9uzZA0dHRwwYMADA/ZnQB43nAyUlJXBxcQFw\nvyn09fUt93m9Xm/1RUXLly+Hm5sb0tLSMGDAAOHXsD4tFxeXR37PSqNWq+Hq6ori4mLFr4ZkPeTC\nesiF9ZCL0uuh0+kwd+5cZGRk4G9/+xs6d+5sk4XJSm547bYZNZlMOHDgAO7du4fnn38ejo6OAO4X\n65dffjF/nV6vR15enrmIHh4e8PDwKPe9tFqt1fdtq169OtatW2deTa/0feLUarXifwbg/t+RwWBQ\n/M/CesiF9ZAL6yEXpdejVq1a+Ne//mU3+77agt3eDvTQoUPQ6XR47rnnyl174u/vj+zsbFy4cAGl\npaU4efIkGjRooOh3FERERERKZZfN6O3bt3HmzBlkZmZixYoVeOedd/DOO+/g7NmzcHd3xzPPPIOj\nR49i6dKlSEtLw/Dhw0VHxuXLl9GrVy+4ubnhjTfeUPxpFiIioqro119/Rbdu3VC3bl3ExcXBaDSK\njiQ9lclkMokOITutVmv1MQYNGoQff/zRfPzOO+/gpZdesvq41qL027kBvL2ebFgPubAecmE95BEZ\nGYmLFy+aj1etWoVnn33W6uN6enpafQxrsdtrRpXm4YubZ8+ejdmzZwtKQ0RERJWBd1V8PDajkhg5\nciSWL18OAHB3d8eBAwfg5+cnOFXFKf2dLcCZBtmwHnJhPeTCesjj3Xffxfr16wHcXxQdHR0tOJH8\n2IxKYtKkSejQoQNyc3PRuXNnNG3aVHQkIiIistCsWbPQqVMn5OTkoFevXvDy8hIdSXpsRiXSr18/\nu9naiYiIqKoaMGCA3cxU2wKbUYlcuHAB+fn5aN269SN7nRIREZEynDt3Dnl5eejQoYPVbyduD+xy\nayclSkxMRHh4OAYPHozQ0NBytwYlIiIiZdi8eTMiIyMxYsQIhIeHIzs7W3Qk6bEZlcS6devMe5Fl\nZWUhMTFRcCIiIiKyVHx8PB7smpmWlobdu3cLTiQ/nqaXhJubW7njVatWYdWqVYLSEBERUWWoVq2a\n6AjSYzMqicWLF+Pll1/G7du30bVrV2zdulXRf8BK35oD4FYpsmE95MJ6yIX1kMdXX32FsWPH4u7d\nu+jduzdGjhwpOpL02IxKonPnzjh37hycnJygUql4O1AiIiIF6tWrFy5cuACDwQB3d3fFvzmwBV4z\nKhEXFxc0aNAAKpVKdBQiIiKqIBcXF9SvX190DMXgzKgkiouLsXLlSmRlZSEyMhL9+vUTHYmIiIgs\nVFRUhGXLliEzMxODBg1CWFiY6EjSYzMqiRkzZphX3O3YsQM7duxA7969BaciIiIiS0ycOBGHDx8G\nACQnJyMlJQWdO3cWnEpuPE0via+//tr82GQy4ZtvvhGYhoiIiCrij6/nRqMR//3vfwWmUQbOjEqi\nffv20Gq15uP4+HjEx8cLTERERERPq127dqIjSE9lerAzK/2lPzaJ1nL79m0sXLgQWq0W/fv3x0sv\nvWT1Ma1J6VtzANwqRTash1xYD7mwHvLIzc3FggULkJWVhcGDB2PUqFE2GdfT09Mm41gDZ0YlUatW\nLcTHx0Oj0UCn0yn+yYSIiKgqqlu3LjZs2GA3bw5sgdeMEhEREZEwbEYlcenSJXTv3h3Ozs547bXX\n+E6KiIhIgc6fP4/OnTujdu3amDBhAsrKykRHkh6bUUlMmTIFV65cQWlpKfbs2YPt27eLjkREREQW\nmjhxIq5duwa9Xo/ExETzto3013jNqCRycnLKHc+ePRuzZ88WlIaIiIgqg06nEx1BemxGJTFq1Cgs\nXboUAFC9enUcOHAAvu9aTEcAAB+ySURBVL6+glNVnNJXQwJcnSob1kMurIdcWA95LF261Lw1Y82a\nNTFw4EDBieTHZlQSEyZMQGBgIHJzc9GpUyc0adJEdCQiIiKy0IwZMxASEoKcnBz07NlT0Vsu2Qqb\nUYlERERwayciIiKF69+/v93MVNsCm1GJnDt3Dvn5+fD19UXNmjVFxyEiIqIK+OWXX5Cbm4vAwEDU\nqFFDdBzpcTW9JLZv347IyEgMHToUoaGhSEtLEx2JiIiILLRp0yb07dsXI0eOREREBLKyskRHkh6b\nUUls2LABD+7Mmp2djV27dglORERERJZav369+XF6ejpSUlIEplEGnqZ/Ai4uLnBwsG7fXr169XLH\nq1atwqpVq6w6JhEREVlXrVq14ObmJjqG1FSmB9Nx9Je0Wq3Vx/j+++8xevRo5OXloXv37khISFD0\nH6/St+YAuFWKbFgPubAecmE95HH69Gm88soryM/PR2hoKD7++GO4uLhYfVwlr9rnzKgkQkJCcO7c\nOTg7O8NkMin+yYSIiKgq6tGjBy5cuICysjK4ubnx9fwJ8JpRiTg5OaFevXqiYxAREdFTcHZ25uu5\nBTgzKomioiKsWLECmZmZiIyMRFRUlOhIREREZKHCwkLEx8cjMzMTgwYNQkREhOhI0mMzKokZM2aY\nV9zt3LkT27dvR2hoqNhQREREZJGJEyfik08+AQCkpKQgOTkZXbt2FZxKbjxNL4lvvvmm3PF///tf\nQUmIiIioov74em40GvHtt98KTKMMnBmVREBAQLlV++vWrcO6desEJiIiIqKnFRAQIDqC9NiMSmLV\nqlWoW7cutFot+vXrhxdffFF0pKei9K05AG6VIhvWQy6sh1xYD3nk5eVh0aJFyMzMxJAhQxAWFiY6\nkvTYjEqiZs2aWL16NTQaDXQ6neKfTIiIiKqiOnXqYN26dXbz5sAWeM2oZHgPAiIiIuXj6/mTYzMq\niYsXL6JLly5wcnLC2LFj+U6KiIhIgc6ePYtOnTqhVq1aGDduHMrKykRHkh6bUUlMmzYNV69eRVlZ\nGfbv349t27aJjkREREQWiouLw40bN2AwGJCcnIzk5GTRkaTHa0YlkZOTU+74rbfewltvvSUoDRER\nEVWGh1/f6VFsRiXxwgsvYPHixQCAGjVq4ODBg2jdurXgVBWn9NWQAFenyob1kAvrIRfWQx7Lly/H\nmjVrAAC1a9dGTEyM4ETyYzMqiXHjxqFDhw7Iy8tDUFAQvLy8REciIiIiC02bNg2dO3dGTk4OevTo\ngYYNG4qOJD02oxIJCwvj1k5EREQKFxkZaTcz1bbAZlQiZ8+exe3bt+Hn54fatWuLjkNEREQV8OOP\nPyI3NxdBQUHw8PAQHUd6XE0viW3btqFv374YPnw4wsLCcPPmTdGRiIiIyEIffvghoqKi8PzzzyM8\nPBwZGRmiI0mPzagkNmzYYN4gV6fTISkpSXAiIiIistR7771nfpyRkYG9e/cKTKMMPE0vCXd393LH\nq1atwqpVqwSlISIiosrw8Os7PYrNqCTeffddjB49Grm5uejZsye2bNkCNzc30bEqTOlbcwDcKkU2\nrIdcWA+5sB7y+OabbzBmzBjcuXMH4eHhGDlypOhI0mMzKolOnTrh3LlzcHFxQVlZmeKfTIiIiKqi\nbt264eLFizAajXB2dubr+RPgNaMSUavVqFOnjugYRERE9BTUajV3xbEAZ0YlUVRUhKVLlyIzMxN9\n+/bFgAEDREciIiIiC927dw9r1qxBVlYWBg0ahL59+4qOJD02o5KYPn069uzZAwBISkrCtm3bEPb/\n27vz4Kjr+4/jrxzkIuReEgE5vBhUkpCICbEQDoGKEHC8capNZSxTWyyeHekgrW1FjtiCM63Wo0qL\nBQZMwhGLDEqdjhABg2KsdcRyNAebTSDlyiZkf38w5ueKVjbZzefzTZ6Pv/Ld3ey+PrzDft/7+X6/\nn50wwXAqAAAQiAceeEAVFRWSpA0bNmjdunUaM2aM4VR24zC9JXbu3Om3vWvXLkNJAABAZ315f+7z\n+VRZWWkwjTMwM2qJ7Oxs1dTUdGyvXLlSK1euNJgIAAB0VVZWlukI1qMZtcTy5cuVmpqq2tpaTZky\nRXfddZfpSF3i9KU5JJZKsQ31sAv1sAv1sEdjY6Oeeuop1dbWatasWRo/frzpSNajGbVEQkKCli9f\nLpfLJbfb7fg3EwAAeqOUlBT99re/7TEfDrpDj2xGd+3apaqqKh09elRXX321brrppo77Dhw4oM2b\nN+v48eMaNGiQZs2apaSkJINp/bW3t5uOAAAAuoj9+YXrkRcw9evXT+PGjdOoUaP8bj958qTWrFmj\niRMn6rHHHtOAAQO0bt06Qyn9VVdXa/To0erTp49+8IMfyOv1mo4EAAACtG/fPuXk5CgpKUlz587V\n2bNnTUeyXo+cGb3yyislSTU1NX7T4x9//LFcLpeuuuoqSdL48eO1ZMkSud1uuVwuSVJzc7NOnDjh\n93xerzfk3y376KOP6uDBg5KkTZs2qaCgQHPmzAnpa4ZSRESE+vTpYzpGl0RGRiosLEyRkc7/b0I9\n7EI97EI97OL0esyfP19HjhyRdG5pp7Fjxzr+OpBQc/5fbQDcbrcyMjI6tqOiopScnOzXjO7Zs0c7\nduzw+73CwsKQr/nZ1NTkt/3444/r8ccfD+lrAgCA0Dpz5kxHj4Gv16uaUa/Xq7i4OL/bYmJi1NLS\n0rGdm5ur4cOHn/d7brc7pNnuvvtu/fKXv5R07mKmiooKXX755SF9zVCKjo72+3d1osjISMXExOjM\nmTNqa2szHadLqIddqIddqIddnF6PJUuWaNmyZZKk5ORkTZo0KeQ9hCRHN7y9qhmNioo67w+8paVF\n0dHRHdsJCQlKSEjwe8xXD/eHwg9/+ENlZmaqsbFRo0aN0oABAxx9BV5kZKSj83/B5/Opra3N8WOh\nHnahHnahHnZxej3mz5+va665Rh6PRwUFBerfv7+jx9MdelUz6nK5tG/fvo5tr9erxsZGaz5NjBs3\njqWdAABwuIkTJ7K0UwB65NX0Z8+eVWtrq3w+n3w+n1pbW3X27FmNGDFCR48eVXV1tVpbW7Vjxw6l\np6db04y+//77Wrt2rerr601HAQAAnbR7926tX79eDQ0NpqM4Qo+cGf373//udxHSBx980HER0m23\n3aYtW7Zow4YNGjhwoG655RaDSf/fK6+8ogULFsjn8yktLU3l5eUaMmSI6VgAACAAf/jDH/Tkk09K\nkjIyMrRx40YNGDDAcCq7hfl8Pp/pELb78nfGh0pBQUHH0k6S9OCDD+qhhx4K+euGitO/zk3i6/Vs\nQz3sQj3sQj3skZ2d7XfB0oIFC/SjH/0o5K/r5Ia3R86MOlF8fLzfdklJiUpKSgylAQAAwfDV/TvO\nRzNqicWLF6u4uFgNDQ0aN26cXnrpJcXGxpqO1WlO/2QrMdNgG+phF+phF+phj507d2rOnDlqamrS\n5MmTdccdd5iOZD2aUUvk5ORo//79iomJkdfrdfybCQAAvVF+fr6qq6slnfs2Kfbn365HXk3vVOHh\n4UpMTDQdAwAAdEFERMR5a5bjmzEzaonTp0/rN7/5jerq6jR58mTNmDHDdCQAABCgEydOqKSkRPX1\n9ZoxY4a++93vmo5kPZpRSzzyyCN6/fXXJUnr169X3759NXHiRMOpAABAIObNm6e//e1vkqSysjKt\nXbtWBQUFhlPZjcP0lti1a5ffdmVlpaEkAACgs768//b5fHrvvfcMpnEGZkYtkZ2d7bee6cqVK7Vy\n5UqDiQAAQFdlZ2ebjmA9mlFLlJSUyOVyqba2VlOnTnX8UhBOX5pDYqkU21APu1APu1APezQ1NWnx\n4sWqq6tTUVGRCgsLTUeyHs2oJfr166elS5fK5XLJ7XY7/s0EAIDeKDk5WSUlJT3mw0F34JxRy7S1\ntZmOAAAAuoj9+YWjGbXE/v37lZubq6ioKN1zzz3yer2mIwEAgAC9//77ysrKUnJysu677z6a0gtA\nM2qJRx99VIcPH5bP51NFRYVWrVplOhIAAAjQ/PnzVVtbq/b2dpWWlmrt2rWmI1mPc0Yt0djY6Le9\ncOFCLVy40FAaAAAQDE1NTaYjWI9m1BLf//739eSTT0qSEhMTVV5erssuu8xwqs5z+tWQElen2oZ6\n2IV62IV62OOZZ57RsmXLJEmpqal8o+IFoBm1xNy5c5WTk6PGxkZlZ2crIyPDdCQAABCg+fPnKy8v\nT263WwUFBXK5XKYjWY9m1CLXXXcdSzsBAOBwhYWFPWamujvQjFpkz549ampq0siRI5WSkmI6DgAA\n6IRdu3bJ4/Fo9OjRSkpKMh3HejSjlvjTn/6kBQsWSDp3jkl5ebmGDh1qNhQAAAjI73//e/3qV7+S\nJPXv31+bNm3SwIEDDaeyG0s7WeL555/v+Nnj8Wj9+vUG0wAAgM547rnnOn4+evSoysrKDKZxBmZG\nLdGvXz+/7ZKSEpWUlBhKAwAAguGr+3ecj2bUEosXL1ZxcbHcbrfGjx+vF198UTExMaZjdZrTl+aQ\nWCrFNtTDLtTDLtTDHpWVlZozZ448Ho+mTp2q22+/3XQk69GMWmLUqFHav3+/4uLidPr0ace/mQAA\n0Btde+21+uijjxQefu5MSPbn345zRi0SFham+Ph40zEAAEAXhIeHq2/fvqZjOAYzo5Y4deqUli9f\nrrq6Ok2ePFmzZs0yHQkAAATov//9b8f+fObMmbrhhhtMR7IezaglHnnkEZWWlkqSSktLFR8fr+uv\nv95wKgAAEIh58+Zp69atkqRNmzZpzZo1uu666wynshuH6S1RWVnpt717925DSQAAQGe99957HT/7\nfD725xcgzOfz+UyHsJ3H4+k4ETlUiouLWYsMAIAeZsOGDRo/fnzIXyc5OTnkrxEqHKa/AC0tLSF/\njSVLlig1NVW1tbWaOnWqbr311pC/Zig5fWkOiaVSbEM97EI97EI97HH8+HEtXrxY9fX1KioqUl5e\nXreMh2YUXRYfH6/FixfL5XLJ7XY7/s0EAIDeKDExUcuWLesxHw66A+eMWsbr9ZqOAAAAuoj9+YWj\nGbXE/v37lZ2drejoaN19993dcmoAAAAIrr1792rkyJFKSUnRnDlz1NbWZjqS9WhGLfHII4+opqZG\nkvTGG29o1apVhhMBAIBAPfjgg6qvr5fP51N5ebnWrFljOpL1OGfUEseOHfPbfuKJJ/TEE08YSgMA\nAILhq/t3nI9m1BLFxcX6xS9+IUlKSkpSeXm5Lr30UsOpOs/pV0NKXJ1qG+phF+phF+phj9/97nda\nsmSJJCktLU1FRUWGE9mPZtQS9913n3JyctTY2KisrCylp6ebjgQAAAL0wAMPKC8vTw0NDRozZoxS\nU1NNR7IezahFxowZw9JOAAA43NixY3vMTHV3oBm1SGVlpY4dO6aRI0cqLS3NdBwAANAJO3fulNvt\n1rXXXquUlBTTcaxHM2qJF198UQsXLpQkpaSkqLy8XMOGDTOcCgAABOLZZ5/VU089JUlyuVzavHmz\nBg4caDiV3VjayRIvvPBCx8+NjY1av369wTQAAKAzvrw/d7vdKi0tNZjGGZgZtURiYqLf9jPPPKNn\nnnnGUBoAABAMX92/43w0o5Z4+umnVVxcrPr6ek2aNEnPP/+8YmJiTMfqNKcvzSGxVIptqIddqIdd\nqIc93nvvPc2ZM0cNDQ264YYbdPvtt5uOZD2aUUtkZWXpww8/VHx8vE6cOOH4NxMAAHqj0aNH66OP\nPlJERITa29vZn18Azhm1TGxsrOkIAACgC8LCwtifB4Bm1BInT57Uz3/+cxUVFemvf/2r6TgAAKAT\nmpub9bOf/Uy33nqrXn/9ddNxHIHD9JZ4+OGHVV5eLknauHGjEhISNHnyZMOpAABAIH7yk59o27Zt\nkqSKigq99tprGjt2rOFUdmNm1BK7d+/2296zZ4+hJAAAoLO+vP/2+Xzau3evwTTOwMyoJXJzc1VT\nU9OxvXLlSq1cudJgIgAA0FU5OTmmI1iPZtQSy5YtU0ZGhmprazVlyhTdfPPNpiN1idOX5pBYKsU2\n1MMu1MMu1MMex48f19KlS1VfX6+ioiIO0V8AmlFLxMfH69e//rVcLpfcbrfj30wAAOiNEhMT9fTT\nT/eYDwfdgXNGLXPmzBnTEQAAQBf4fD725wGgGbXEBx98oMzMTMXGxuquu+5SS0uL6UgAACBAu3fv\n1lVXXaXU1FQVFxczM3oBaEYt8eijj6qurk6S9Oabb+rVV181nAgAAATqoYceUkNDgyRp8+bNWrNm\njeFE9uOcUUscP37cb3vRokVatGiRmTAAACAovrp/x/loRi0xZ84cLVy4UJKUnJysjRs3atiwYYZT\ndZ7Tr4aUuDrVNtTDLtTDLtTDHs8++6yeeuopSVJaWppmzpxpOJH9aEYtce+992rUqFFqampSZmam\nXC6X6UgAACBAP/7xj5WXl6eGhgbl5eUpJSXFdCTr9cpm9NSpUyovL9dnn32muLg4TZo0SZmZmaZj\nKS8vj6WdAABwuIKCgh4zU90demUzumXLFkVEROjhhx9WXV2dVq9erYyMDPXv399orp07d3bMjJrO\nAgAAOucf//iH3G638vPzlZqaajqO9Xrd1fRer1fV1dWaMGGCoqOjNWTIEA0fPlz79u0zmuuPf/yj\nioqKdM8992jixIk6cOCA0TwAACBwK1as0E033aT77rtPEydO1JEjR0xHsl6vmxn1eDwKDw9XWlpa\nx23p6ek6ePCgJKm5uVknTpzw+x2v16u+ffuGNNdLL73U8XNTU5NKS0v12GOPhfQ1QykiIkJ9+vQx\nHaNLIiMjFRYWpshI5/83oR52oR52oR52cXo9vrw/b2ho0MaNGzVv3jyDiezn/L/aAHm9XkVHR/vd\nFhMT07HI/J49e7Rjxw6/+wsLCzVhwoSQ5nK5XDp06FDH9vLly7V8+fKQviYAAAitwYMHc1Hyt+h1\nzWhUVNR5327U0tLS0aDm5uZq+PDhfvd7vV653e6Q5nr66ad19913q6amRlOnTtULL7xwXtPsJNHR\n0Y7/FqnIyEjFxMTozJkzamtrMx2nS6iHXaiHXaiHXZxej927d6u4uFhHjx7V9OnTNX369JD3EJIc\n3fD2umY0NTVV7e3t8ng8HScV19XVdRQxISFBCQkJfr9TU1MT8qvhRowYoaqqKiUkJKi5uVmtra2O\nvgIvMjLS0fm/4PP51NbW5vixUA+7UA+7UA+7OL0eWVlZ+vDDDxUZGdlRDyePpzv0uguYoqKiNGLE\nCL311lvyer06dOiQPvnkE2VlZZmOJkmOng0FAADnsD+/cL1uZlSSbrzxRpWVlWnp0qWKjY3VjTfe\nyFJKAAAABvTKZjQuLk533nmn6RgAAAC9Xq87TA8AAAB70IwCAADAGJpRAAAAGEMzCgAAAGNoRgEA\nAGAMzSgAAACMoRkFAACAMTSjAAAAMIZmFAAAAMbQjAIAAMAYmlEAAAAYQzMKAAAAY2hGAQAAYAzN\nKAAAAIwJ8/l8PtMhcE5zc7P27Nmj3NxcJSQkmI7T61EPu1APu1APu1APu1CPwDAzapETJ05ox44d\nOnHihOkoEPWwDfWwC/WwC/WwC/UIDM0oAAAAjKEZBQAAgDE0owAAADAmYtGiRYtMh8A5Pp9PUVFR\nGjp0qKKjo03H6fWoh12oh12oh12oh12oR2C4mh4AAADGRJoO0BucOnVK5eXl+uyzzxQXF6dJkyYp\nMzPzvMf5fD5t27ZNe/fulSSNGjVKkydPVlhYmCSptrZW5eXlcrvdcrlcKioq0kUXXdStY+kJglGP\nhoYGvfnmmzp8+LDa29s1cOBA3XDDDUpLS+vu4ThesP5/fKGqqkqlpaWaMWOGcnNzu2UMPUmw6tHe\n3q633npL77//vrxer1JSUnTPPfcoNja2W8fjdMGqx4EDB7R161Y1NjYqLi5O3/nOd3TNNdd061h6\nggutx+eff64dO3aotrZWMTExmj9/vt/9TU1NKisr05EjR5SYmKhp06bp0ksv7a5hWIfD9N2grKxM\nYWFhKi4u1sUXX6wNGzZo+PDh6tu3r9/j9uzZo6qqKt17770aPXq0tm/frvDwcA0cOFBtbW166aWX\nlJubq9tvv13t7e164403NHr0aIWHc+pvIIJRj8bGRsXGxmratGkaN26cGhsbtX37duXl5RkalXMF\nox5fOH36tEpLSxUfH69BgwZpwIAB3T0cxwtWPbZv367Dhw9r9uzZuv766zV48GD17dtXERERJobl\nWMGox9mzZ/X8889r7Nixuu222zR48GCtX79eV1xxheLj4w2NzJkutB4nT55UYmKihg4dqkOHDmnM\nmDF+9//lL3/RgAED9L3vfU+JiYnasGGDcnJyFBUV1Z3DsQZdTIh5vV5VV1drwoQJio6O1pAhQzR8\n+HDt27fvvMdWVVVpzJgxSkxMVEJCggoKClRVVSVJ+ve//6329nbl5+crMjJS+fn58vl8+vzzz7t7\nSI4WrHoMGjRIOTk5iouLU0REhPLz8+XxeHTq1KnuHpKjBaseX9i2bZvy8vIUFxfXXUPoUYJVj9On\nT2vnzp0qKipSUlKSwsLClJ6erj59+nT3kBwtmPVoaWlRZmamwsLCNHDgQLlcLrnd7u4ekqMFUo9B\ngwYpKytLycnJ593X0NCg2tpaTZgwQX369NGVV16p9PR0VVdXd8cwrEQzGmIej0fh4eF+h2/T09O/\n9k3A7XYrIyPjax/ndruVnp7ud0jym54H3yxY9fiqgwcPKj4+niYoQMGsx5EjR1RTU8Ohxy4IVj3q\n6+sVHh6u6upqLV26VCtWrFBlZWXoB9DDBKse8fHxuvrqq1VVVaX29nYdPnxYx44d0+DBg0M/iB4k\nkHr8L263W8nJyX4XNvX2/TnnjIaY1+s970q6mJgYtbS0fOtjY2Ji5PV65fP5AnoefLNg1ePLHwqO\nHz+uLVu2aOrUqaEL3kMFqx4+n0+bN2/WtGnTOG2lC4JVj+bmZrW0tMjj8einP/2pPB6PXn31VaWm\npvbq8+ICFcz3q5EjR6q8vFwVFRWSpOnTpysxMTG0A+hhgrUf/qbnaW5u7nJGp6IZDbGoqKjz/lBb\nWlq+dqmHrz62paVFUVFRCgsLC+h58M2CVY8vnDx5UqtWrdLo0aM1cuTI0AXvoYJVj8rKSqWnp+vi\niy8OeeaeLFj1+OJwfGFhofr06aOMjAxdffXV+vTTT2lGAxCserjdbq1bt0533HGHLrnkEjU2Nmr1\n6tXq16+frrjiipCPo6cI1n6Y/fn5mEIIsdTUVLW3t8vj8XTcVldXJ5fLdd5jXS6X6uvrv/ZxX9z3\n5ZW46uvrv/Z58M2CVQ/p3HlYq1at0vDhwzVu3LjQBu+hglWPAwcO6J///KeWLl2qpUuX6vDhw9q6\ndas2b94c+kH0IMGqR3p6eujD9gLBqsfRo0eVlpamyy67rOMw8+WXX65PP/009IPoQQKpx//icrnU\n1NTk15B25nl6EprREIuKitKIESP01ltvyev16tChQ/rkk0+UlZV13mOzsrL07rvvqrm5Wc3NzXr3\n3XeVnZ0tSRo6dKjCw8O1a9cutbW1adeuXZKkYcOGdet4nC5Y9Thz5oxWrVqliy++WJMnT+7uYfQY\nwarHrFmzdP/992vu3LmaO3euBgwYoMLCQk2aNKm7h+RowapHSkqKBg8erHfeeUdtbW1yu93av38/\ns3ABClY9LrroInk8Hh04cEA+n0+NjY3617/+5XeOKb5dIPVob29Xa2ur2tvbJUmtra1qa2uTJKWl\npSkjI0Nvv/22Wltb9fHHH6u+vl5XXnllt47HJix63w1OnTqlsrIyHThwQLGxsbr++uuVmZmpgwcP\n6s9//rMWLFgg6dw6cW+++WbHOnE5OTnfuM5oWlqaZs6cyTqjnRCMenyxluVXrw6+//77lZSU1O1j\ncrJg/f/4spdfflmZmZmsM9oJwapHc3OzysrKdOjQIfXt25d1LTspWPXYv3+/duzYoePHjys6OlqZ\nmZmaNGkS51gH6ELr8fnnn+uVV17x+90hQ4aouLhY0rl1RktLS/Wf//yHdUZFMwoAAACD+EgEAAAA\nY2hGAQAAYAzNKAAAAIyhGQUAAIAxNKMAAAAwhmYUAAAAxtCMAgAAwBiaUQAAABhDMwoAAABjaEYB\nAABgDM0oAAAAjKEZBQAAgDE0owAAADCGZhQAAADG0IwCAADAGJpRAAAAGEMzCgA90Ntvv61BgwaZ\njgEA34pmFAAAAMbQjAIAAMAYmlEAsNjixYt1yy23+N32wAMPaN68eXr55Zc1YsQI9evXT5dccome\ne+45QykBoPNoRgHAYnfeeae2bNmi5uZmSdLZs2e1du1azZ49W/3799emTZvU3Nysl19+WfPnz9fe\nvXsNJwaAwNCMAoDFhgwZopycHJWWlkqStm/frri4OOXn5+vGG2/UpZdeqrCwMBUWFmrKlCl65513\nDCcGgMDQjAKA5WbPnq3XXntNkrR69WrNnj1bklRRUaH8/HylpKQoKSlJW7ZsUUNDg8moABAwmlEA\nsNytt96qt99+W0eOHNHrr7+u2bNnq6WlRTfffLMefvhh1dfX69ixY5o2bZp8Pp/puAAQEJpRALCc\ny+XS+PHjVVxcrGHDhmnEiBHyer1qaWmRy+VSZGSkKioqtHXrVtNRASBgNKMA4ACzZ8/Wtm3bOg7R\n9+vXTytWrNBtt92m5ORkrV69WkVFRYZTAkDgwnwc0wEAAIAhzIwCAADAGJpRAAAAGEMzCgAAAGNo\nRgEAAGAMzSgAAACMoRkFAACAMTSjAAAAMIZmFAAAAMbQjAIAAMCY/wPlSSxJdv+BngAAAABJRU5E\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x12d3de358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<ggplot: (-9223372036570403787)>\n",
      "L_QUANTITY\n"
     ]
    },
    {
     "data": {
      "image/png": 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NmiEmJgbVqlUTGRcA0KBBAzRo0EB0DCIiInKAn58f/Pz8RMdQjCpbRgEgKioKYWFhNh+7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\nwBjKKAAAAIz5H3U9+tbrky2OAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x14b78b748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<ggplot: (273072911)>\n",
      "L_PARTKEY\n"
     ]
    },
    {
     "data": {
      "image/png": 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9d+/ejcmTJ+P+/fto06YNRowYYdb9WyIOowoxcOBAnDhxAvfu3UPDhg1hb28vOhIREREZ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\nmwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x15fc51a58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<ggplot: (-9223372036486722472)>\n",
      "L_RETURNFLAG\n"
     ]
    },
    {
     "data": {
      "image/png": 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RcG7djP5vLl26hI4dO6Jt27YAgMjISGzevBlGoxHe3t7Ccq1YsQLvvfcegJrL+/v370ev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\nCgAAADOUUQAAAJihjAIAAMDMfwGocSz2SWe1GQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x14f0ffcc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<ggplot: (-9223372036524842236)>\n"
     ]
    }
   ],
   "source": [
    "attrs = list(cs[0].keys())\n",
    "attrs.remove('length')\n",
    "\n",
    "for attr in attrs:\n",
    "    df = pd.DataFrame(columns=['chunk_id', 'val'])\n",
    "    for k, v in cs.items():\n",
    "        df.loc[len(df)]=[k, cs[k][attr]['min']]\n",
    "        df.loc[len(df)]=[k, cs[k][attr]['max']]\n",
    "\n",
    "    print(attr)\n",
    "    print(plot_bound_distribution(df))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/martin/anaconda3/lib/python3.6/site-packages/tables/path.py:112: NaturalNameWarning: object name is not a valid Python identifier: 'jcc-h'; it does not match the pattern ``^[a-zA-Z_][a-zA-Z0-9_]*$``; you will not be able to use natural naming to access this object; using ``getattr()`` will still work, though\n",
      "  NaturalNameWarning)\n"
     ]
    }
   ],
   "source": [
    "table_store = pd.HDFStore('table_store.h5')\n",
    "\n",
    "table_store['jcc-h'] = lineitems_full_sorted  # save it\n",
    "# table_store['jcc-h']  # load it"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# lineitems_full_sorted[lineitems_full_sorted['A'].str.contains(\"hello\")]\n",
    "\n",
    "export_cols = list(filter(lambda x: x.startswith('L_'), list(lineitems_full_sorted.columns.values)))\n",
    "# output_df = lineitems_full_sorted[[header]]\n",
    "output_df = pd.DataFrame(lineitems_full_sorted, columns=export_cols)\n",
    "output_df.to_csv('jcc_lineitems.csv', '|')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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