{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###### The latest version of this IPython notebook is available at [http://github.com/jckantor/ESTM60203](http://github.com/jckantor/ESTM60203)  for noncommercial use under terms of the [Creative Commons Attribution Noncommericial ShareAlike License (CC BY-NC-SA 4.0)](http://creativecommons.org/licenses/by-nc-sa/4.0/)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "J.C. Kantor (Kantor.1@nd.edu)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Warehouse Fulfullment Operations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This [IPython notebook](http://ipython.org/notebook.html) demonstrates use of the [SimPy](http://simpy.readthedocs.org/en/latest/) to simulate the order fulfillment operations of a hypothetical warehouse."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Initializations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<link href='http://fonts.googleapis.com/css?family=Fenix' rel='stylesheet' type='text/css'>\n",
       "<link href='http://fonts.googleapis.com/css?family=Alegreya+Sans:100,300,400,500,700,800,\n",
       "    900,100italic,300italic,400italic,500italic,700italic,800italic,900italic' rel='stylesheet' type='text/css'>\n",
       "<link href='http://fonts.googleapis.com/css?family=Source+Code+Pro:300,400' rel='stylesheet' type='text/css'>\n",
       "<link href='http://fonts.googleapis.com/css?family=Crimson+Text' rel='stylesheet' type='text/css'>\n",
       "<link href='http://fonts.googleapis.com/css?family=Kameron' rel='stylesheet' type='text/css'>\n",
       "<link href='http://fonts.googleapis.com/css?family=Lato:200' rel='stylesheet' type='text/css'>\n",
       "<link href='http://fonts.googleapis.com/css?family=Lato:300' rel='stylesheet' type='text/css'>\n",
       "<link href='http://fonts.googleapis.com/css?family=Lato:400' rel='stylesheet' type='text/css'>\n",
       "<link href='http://fonts.googleapis.com/css?family=Source+Code+Pro' rel='stylesheet' type='text/css'>\n",
       "\n",
       "<style>\n",
       "\n",
       "@font-face {\n",
       "    font-family: \"Computer Modern\";\n",
       "    src: url('http://mirrors.ctan.org/fonts/cm-unicode/fonts/otf/cmunss.otf');\n",
       "}\n",
       "\n",
       "#notebook_panel { /* establish main background and color */\n",
       "    background: #fff;\n",
       "    color: #ff0000;\n",
       "}\n",
       "\n",
       "div.cell { /* set cell width */\n",
       "    width:800px;\n",
       "    margin-left:0%;\n",
       "    margin-right:auto;\n",
       "}\n",
       "\n",
       "div #notebook { /* centers the content */\n",
       "    background: #fff;\n",
       "    width: 1000px;\n",
       "    margin: auto;\n",
       "    padding-left: 1em;\n",
       "}\n",
       "\n",
       "#notebook li { /* more space between bullet points */\n",
       "    margin-top:0.8em;\n",
       "}\n",
       "\n",
       "/* draw border around running cells */\n",
       "div.cell.border-box-sizing.code_cell.running {\n",
       "    border: 3px solid #111;\n",
       "}\n",
       "\n",
       "/* Put a solid color box around each code cell and its output,\n",
       "     visually linking them together */\n",
       "div.cell.code_cell {\n",
       "    background-color: rgba(171,165,131,0.2);\n",
       "    border-radius: 10px; /* rounded borders */\n",
       "    padding: 1em;\n",
       "    margin-top: 1em;\n",
       "}\n",
       "\n",
       ".CodeMirror {\n",
       "    font-family: \"Source Code Pro\";\n",
       "    font-size: 90%;\n",
       "}\n",
       "\n",
       "div.text_cell_render code {\n",
       "    font-family: \"Source Code Pro\";\n",
       "    font-size: 90%;\n",
       "    color: red;\n",
       "}\n",
       "\n",
       "pre {\n",
       "    font-family: \"Source Code Pro\";\n",
       "    font-size: 90%;\n",
       "}\n",
       "\n",
       "div.text_cell_render { /* rendering of basic text cell */\n",
       "    font-family: 'Alegreya Sans', Computer Modern, \"Helvetica Neue\", Arial, Helvetica, sans-serif;\n",
       "    line-height: 135%;\n",
       "    font-size: 120%;\n",
       "    width:700px;\n",
       "    margin-left:auto;\n",
       "    margin-right:auto;\n",
       "}\n",
       "\n",
       ".text_cell_render h1 {\n",
       "    font-family: 'Alegreya Sans', sans-serif;\n",
       "    font-weight: 300;\n",
       "    font-size: 40pt;\n",
       "    line-height: 100%;\n",
       "    color:#CD2305;\n",
       "    margin-bottom: 0.4em;\n",
       "    margin-top: 0em;\n",
       "    display: block;\n",
       "}\n",
       "\n",
       "h2 {\n",
       "    font-family: 'Fenix', serif;\n",
       "}\n",
       "\n",
       "h3 {\n",
       "    font-family: 'Fenix', serif;\n",
       "    margin-top:12px;\n",
       "    margin-bottom: 3px;\n",
       "}\n",
       "\n",
       "h4 {\n",
       "    font-family: 'Fenix', serif;\n",
       "}\n",
       "\n",
       ".text_cell_render h5 {\n",
       "    font-family: 'Alegreya Sans', sans-serif;\n",
       "    font-weight: 100;\n",
       "    font-size: 16pt;\n",
       "    color: #CD2305;\n",
       "    font-style: italic;\n",
       "    margin-bottom: .5em;\n",
       "    margin-top: 0.5em;\n",
       "    display: block;\n",
       "}\n",
       "\n",
       ".text_cell_render h6 { /*use this for copyright note*/\n",
       "    font-family: 'Alegreya Sans', sans-serif;\n",
       "    font-weight: 400;\n",
       "    font-size: 10pt;\n",
       "    font-style: normal;\n",
       "    line-height: 120%;\n",
       "    margin-bottom: 1px;\n",
       "    margin-top: 1px;\n",
       "}\n",
       "\n",
       ".MathJax, .MathJax_Display  {\n",
       "    font-family: 'Alegreya Sans', sans-serif  !important;\n",
       "    font-size: 90%  !important;\n",
       "    vertical-align: 0px  !important;\n",
       "}\n",
       "\n",
       ".warning{\n",
       "    color: rgb( 240, 20, 20 )\n",
       "}\n",
       "\n",
       "</style>\n",
       "\n",
       "<script>\n",
       "MathJax.Hub.Config({\n",
       "    TeX: {\n",
       "        extensions: [\"AMSmath.js\"]\n",
       "    },\n",
       "    tex2jax: {\n",
       "        inlineMath: [ ['$','$'], [\"\\\\(\",\"\\\\)\"] ],\n",
       "        displayMath: [ ['$$','$$'], [\"\\\\[\",\"\\\\]\"] ],\n",
       "        processEscapes: true\n",
       "    },\n",
       "    displayAlign: 'center', // Change this to 'center' to center equations.\n",
       "    \"HTML-CSS\": {\n",
       "        styles: {'.MathJax_Display': {\"margin\": 4}}\n",
       "    }\n",
       "});\n",
       "</script>\n",
       "\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.core.display import HTML\n",
    "HTML(open(\"styles/custom.css\", \"r\").read())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Order Fulfillment Model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "http://kevingue.wordpress.com/2012/02/13/discrete-time-modeling-for-order-picking/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Order Processing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The order fulfillment operation is a sequence of eight events\n",
    "\n",
    "1. Order sent to the fulfillment center.\n",
    "1. Picker requested for the order.\n",
    "1. Order picked from the warehouse.\n",
    "1. Picker released.\n",
    "1. Inspector requested to review the order prior to shipping.\n",
    "1. Order reviewed.\n",
    "1. Reviewer released.\n",
    "1. Order shipped."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Order Generator"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`orderGenerator` creates a sequence of orders following a Poisson distribution at an average rate 1/T_ORDER. Each order is tagged with a unique name using `itertools.count()`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Event Logging"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Events are logged and stored in a dictionary attached to an instance of the fulfillment class. The keys are an (orderId,event) tuple with the time stamp stored as the value. The raw data trace can be accessed as the `._data` field, or as a pandas Dataframe in the `.log` field."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Fulfillment Class"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Global variables\n",
    "T_ORDER = 10                      # average time between orders (Poisson)\n",
    "T_PICK = 15                       # mean time to pick order from warehouse (beta)\n",
    "T_REVIEW = 2                      # mean time to review order prior to shipment (beta)\n",
    "T_SHIP_MIN = 8; T_SHIP_MAX = 12   # mean time to ship order (uniform)\n",
    "ALPHA = 2.0; BETA = 5.0           # beta distribution parameters\n",
    "\n",
    "# Global defaults\n",
    "T_SIM = 1440               # simulation period\n",
    "N_PICKER = 2               # number of product pickers\n",
    "N_REVIEWER = 1             # number of product reviewers\n",
    "\n",
    "import simpy\n",
    "import itertools\n",
    "import random\n",
    "import pandas as pd\n",
    "\n",
    "class fulfillment(object):\n",
    "    def __init__(self, n_picker=N_PICKER, n_reviewer=N_REVIEWER):\n",
    "        self.env = simpy.Environment()\n",
    "        self._data = dict()\n",
    "        self.picker = simpy.Resource(self.env,n_picker)\n",
    "        self.reviewer = simpy.Resource(self.env,n_reviewer)\n",
    "        self.env.process(self.orderGenerator())\n",
    "        \n",
    "    def writeLog(self,orderId,event):\n",
    "        self._data[orderId,event] = self.env.now\n",
    "        \n",
    "    @property\n",
    "    def log(self):\n",
    "        df = pd.DataFrame([[a,b,self._data[a,b]] for (a,b) in self._data.keys()])      \n",
    "        df = df.pivot(index=0,columns=1,values=2).reset_index()\n",
    "        return df[list(df.columns)[1:]] \n",
    "    \n",
    "    @property\n",
    "    def stats(self):\n",
    "        tdelta = pd.DataFrame()\n",
    "        for c in self.log.columns:\n",
    "            tdelta[c] = self.log[c] - self.log['Ordered']\n",
    "        return pd.DataFrame([tdelta.mean(),tdelta.std()],index=['mean','std'])\n",
    "        \n",
    "    def order(self,orderId):\n",
    "        self.writeLog(orderId,'Ordered')\n",
    "        with self.picker.request() as preq:\n",
    "            yield preq\n",
    "            self.writeLog(orderId,'Pick Assigned')\n",
    "            yield self.env.timeout(T_PICK*((ALPHA+BETA)/ALPHA)*random.betavariate(ALPHA,BETA))\n",
    "            self.writeLog(orderId,'Picked')\n",
    "            self.picker.release(preq)\n",
    "        with self.reviewer.request() as rreq:\n",
    "            yield rreq\n",
    "            self.writeLog(orderId,'Review Assigned')\n",
    "            yield self.env.timeout(T_REVIEW*((ALPHA+BETA)/ALPHA)*random.betavariate(ALPHA,BETA))\n",
    "            self.writeLog(orderId,'Reviewed')\n",
    "            self.reviewer.release(rreq)\n",
    "                \n",
    "        yield self.env.timeout(random.uniform(T_SHIP_MIN,T_SHIP_MAX))\n",
    "        self.writeLog(orderId,'Shipped')\n",
    "                \n",
    "    def orderGenerator(self):\n",
    "        for orderId in itertools.count():\n",
    "            yield self.env.timeout(random.expovariate(1.0/T_ORDER))\n",
    "            self.env.process(self.order(orderId))\n",
    "             \n",
    "    def run(self,t_sim = T_SIM):\n",
    "        self.env.run(until=t_sim)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Simulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Elapsed Time from Order Placement\n",
      "      Ordered  Pick Assigned     Picked  Review Assigned   Reviewed    Shipped\n",
      "mean      0.0       0.372984  15.342372        15.684901  17.664159  27.649617\n",
      "std       0.0       1.717008   8.519451         8.533925   8.601076   8.694360\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x11d5b9748>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZUAAAEKCAYAAADaa8itAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11d164128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# create an order fulfillment instance\n",
    "w = fulfillment(n_picker = 4, n_reviewer = 1)\n",
    "\n",
    "# run a simulation for a specified period\n",
    "w.run(10000)\n",
    "\n",
    "print(\"Elapsed Time from Order Placement\")\n",
    "print(w.stats)\n",
    "\n",
    "\n",
    "# plot log results\n",
    "w.log['Shipped'].plot()\n",
    "plt.xlabel('Order Number')\n",
    "plt.ylabel('Time [minutes]')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analyzing Results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Total Processing Time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x11d7b7470>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYUAAAEWCAYAAACJ0YulAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nwzAMw8eEgmEYhuHz/09ML4lnD5owAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11d5e6208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "torder = w.log['Shipped'] - w.log['Ordered']\n",
    "plt.subplot(3,1,1)\n",
    "plt.plot(torder)\n",
    "plt.xlabel('Order Number')\n",
    "plt.ylabel('Time [minutes]')\n",
    "plt.title('Time from Order to Shipment')\n",
    "\n",
    "plt.subplot(2,1,2)\n",
    "torder.hist(bins=30)\n",
    "plt.xlabel('Time [minutes]')\n",
    "plt.ylabel('Count')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Time to Assign Picker"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x109d0aad0>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAY0AAAEZCAYAAABrUHmEAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nA0pTkuta77b6AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x106f1d310>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "twait = w.log['Pick Assigned'] - w.log['Ordered']\n",
    "subplot(3,1,1)\n",
    "plot(twait)\n",
    "xlabel('Order Number')\n",
    "ylabel('Time [minutes]')\n",
    "title('Time to Assign Picker')\n",
    "\n",
    "subplot(2,1,2)\n",
    "twait.hist(bins=30)\n",
    "xlabel('Time [minutes]')\n",
    "ylabel('Count')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Time to Pick Order"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x109d5ead0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYcAAAEZCAYAAAB8culNAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nOgdCCCFuqHMghBDi5v/L8yBbzIIN4AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x109b1aa10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tpick = w.log['Picked'] - w.log['Pick Assigned']\n",
    "subplot(3,1,1)\n",
    "plot(tpick)\n",
    "xlabel('Order Number')\n",
    "ylabel('Time [minutes]')\n",
    "title('Time to Pick Order')\n",
    "\n",
    "subplot(2,1,2)\n",
    "tpick.hist(bins=30)\n",
    "xlabel('Time [minutes]')\n",
    "ylabel('Count')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Time to Assign Reviewer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x10aa71410>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAY0AAAEZCAYAAABrUHmEAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1097de8d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "twait = w.log['Review Assigned'] - w.log['Picked']\n",
    "subplot(3,1,1)\n",
    "plot(twait)\n",
    "xlabel('Order Number')\n",
    "ylabel('Time [minutes]')\n",
    "title('Time to Assign Inspector')\n",
    "\n",
    "subplot(2,1,2)\n",
    "twait.hist(bins=30)\n",
    "xlabel('Time [minutes]')\n",
    "ylabel('Count')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Time to Review Order"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x10b076350>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYcAAAEZCAYAAAB8culNAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x109deab50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "treview = w.log['Reviewed'] - w.log['Review Assigned']\n",
    "subplot(3,1,1)\n",
    "plot(treview)\n",
    "xlabel('Order Number')\n",
    "ylabel('Time [minutes]')\n",
    "title('Time to Review Order')\n",
    "\n",
    "subplot(2,1,2)\n",
    "treview.hist(bins=30)\n",
    "xlabel('Time [minutes]')\n",
    "ylabel('Count')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Time to Ship"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x10b0cc0d0>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZAAAAEZCAYAAAC5AHPcAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzsnXd4FcX6x78nhYSSGGkJ1dAChBJCEUXRKCSAQpQiKFIE\n9SLeiyLoxfLzgo1yFbHfqyICekWaehEBAcmxUESaNJVyCSAllBAINW1/f2zm7Oycmd3Zk5OckzCf\n58mTc/bMzr47OzvvvPPOvOPSNE2DQqFQKBQOCQm0AAqFQqEonygFolAoFAqfUApEoVAoFD6hFIhC\noVAofEIpEIVCoVD4hFIgCoVCofAJpUAUFZ7WrVvjhx9+CLQYJSIzMxMhISEoKiri/j5lyhQ8/PDD\nZSyV4mrHpdaBKMo71apVg8vlAgBcuHABkZGRCA0NBQB88MEHuO+++8pEjkmTJmH//v345JNPfDr/\nzz//xOOPP44ffvgB+fn5aNCgAZ588kkMHz4cmZmZaNy4MQoKChASovp9iuAgLNACKBQl5fz5857P\njRo1wkcffYTbb789gBL5xtChQ5GcnIxDhw4hIiIC27dvx/HjxwMtlkIhRHVlFBWe+Ph4rFmzBoBu\nJdxzzz0YOnQooqOj0bZtW+zduxdTpkxBbGwsrrvuOqxatcpz7tmzZ/Hggw+ibt26qF+/Pp5//nnu\nMNKKFSswZcoUzJ8/H1FRUUhOTgYAHD16FOnp6ahRowaaNWuGmTNnCuXctGkTHnjgAVSuXBkhISFo\n164devbsaUrz6aef4rrrrkOtWrUwefJkz/FJkyZh6NChAIzhrg8//BD16tVD3bp1MX36dN8LUKEQ\noBSIosJDhrcIS5cuxbBhw3DmzBkkJycjNTUVgN7YP//88xg1apQn7QMPPIBKlSph//792Lp1K1au\nXMlVAj179sSzzz6Le++9F7m5udi6dSsA4N5770XDhg1x7NgxLFq0CM8++ywyMjK4ct5www149NFH\nMX/+fBw6dIibZu3atdizZw++++47vPjii/jjjz+49wgAbrcb+/btw8qVKzFt2jR89913EqWlUMij\nFIjiquOWW25BamoqQkNDMWDAAJw+fRpPP/00QkNDMWjQIGRmZuLcuXPIysrC8uXLMWPGDFSuXBm1\natXC2LFj8fnnn3Pz1TQNtEvx8OHDWLduHaZNm4ZKlSohKSkJDz30EObOncs9f+HChejatSteeukl\nNG7cGMnJydi0aZMpzcSJExEREYG2bdsiKSkJv/76q+faLBMnTkTlypXRunVrjBgxAvPmzfO1yBQK\nLkqBKK46ateu7flcuXJl1KxZ09ODr1y5MgDdr3Lw4EHk5+ejTp06uPbaa3HttdfikUcewcmTJ6Wu\nc/ToUVSvXh1Vq1b1HGvYsCGOHDnCTR8TE4MpU6Zg586dyMrKQrt27XD33Xeb0sTFxXk+V6lSxeT/\nYWnQoIHpukePHpWSW6GQRSkQhUJAgwYNEBERgdOnT+PMmTM4c+YMzp49ix07dnDTs7Oj6tati+zs\nbFMjf+jQIdSvX9/22jVq1MD48eNx9OhRnDlzxif56WGwQ4cOoV69ej7lo1CIUApEoRBQp04dpKWl\nYdy4ccjNzUVRURH2798vXFMSGxuLzMxMz3BSgwYN0KVLFzzzzDO4cuUKtm/fjlmzZmHIkCHc8ydM\nmIBdu3ahoKAAubm5+Ne//oVmzZrh2muv9Un+l19+GZcuXcKuXbswe/ZsDBo0yKd8FAoRSoEoripc\nLpeXw9nq+9y5c5GXl4fExERUr14d99xzj3Bq7T333ANAtx46duwIAJg3bx4yMzNRt25d9OvXDy++\n+KJwivGlS5fQt29fXHvttWjSpAkOHz6MJUuWCOW0u69bb70VTZs2Rffu3fHUU0+he/fuwvMVCl8o\ntYWEI0eOxDfffIPatWt7TP6nnnoKS5cuRaVKldCkSRN8/PHHuOaaa7zOXbFiBcaOHYvCwkI89NBD\nmDBhQmmIqFBUSNSiQ0VZYalAsrOzbTMICQlBTEyM1/Eff/wR1apVw7BhwzwKZNWqVejWrRtCQkLw\n9NNPAwCmTp1qOq+wsBDNmzfH6tWrUa9ePXTq1Anz5s1Dy5YtHd2YQnG1ohSIoqywXIlep04d1K1b\n1zKDgoICHD582Ot4165dkZmZaTpG5tsDQOfOnbF48WKv8zZu3IimTZsiPj4egD6P/r///a9SIAqF\nA6yGuxQKf2GpQFq2bIlt27ZZZtCuXTufLjxr1ixujKIjR46Yph/Wr18fP//8s0/XUCiuRuLj41FY\nWBhoMRRXAZb27YYNG2wzkEnD8sorr6BSpUoYPHiw12+q56RQKBTlA0sLJDIyEgCwb98+1K9fH5GR\nkcjIyMCOHTswbNgwxMTEeNLIMnv2bCxbtkwYVqFevXqmIbHDhw8L5803bdoU+/fvd3R9hUKhuNpp\n0qQJ9u3bV/KMNAnatm2r5efna3v37tWaNWumPfnkk1qvXr1szztw4IDWunVrz/fly5driYmJ2smT\nJ4Xn5Ofna40bN9YOHDigXblyRUtKStJ2797NTQtAKyzUtO++k7kL3zh/XtMATRsxwnz899817exZ\n/fNDD+lpzLIZf/Sx9993LkNWlvXvgKYNHDjRecYMOTmalpRkn+7KFf3/X/6iaevXe/9+8aJx7wMH\n8vMA5O7r4EF7eWbMMJfzxIkTNUDTMjL46Rcu9H5evrB7tzmfyZM17c47xekTE/1zXZavv9a0bt34\nv6WkTLS85p494t8ATYuM9D7++ef6MyZpZs0yfmvWzPse1693dt+Apj36qLlu5edrWteu3mn79ZPP\ne+LEibbX/e9/5fL64IOSP8vq1c3txKVLxm+7dlnnD2ja2LHG5/HjnV1bsum3RWqKRkhICMLCwvDF\nF19gzJgxePXVV3Hs2DHLc+677z506dIFf/zxBxo0aIBZs2ZhzJgxOH/+PFJTU5GcnIxHH30UgB7y\n4c477wQAhIWF4Z133kGPHj2QmJiIQYMGWTrQ164FunUzvhcWAv/9r8xd2XPmDFCtGorlMv/WogUw\nZoz+OTxcPs+zZ83fd++2Pyc2FiiOzSfEH5OxDx4EikMrCTl1CoiI0D9/8AEwe7Z3moIC47Ng/yMA\nwE8/ORbRxMGDwLPPAqJRT9EEpOKtQkoMa3zPmwd88404vUXUkRKRn6/Xe8K5c8C77wKPPsovm4MH\ngRMn9M8JCcAvvzi73r33AtTyFBNU1BYPsu6Y3buBnTv1z++9B9x4o/Hb+fPAjz86k9MXtm+XS2dV\nr3ns2wcUR8kBoJcJO8n199+Nz6dP2+dJniHgn/ffF6QUSKVKlfDZZ59h7ty56N27NwAgPz/f8pzK\nlSt7puQePnwYI0eOxOTJk1GtWjVs374dH330Ed577z0AesiHb6g3b/To0YiIiEBUVBS+/PJLy+vQ\njRUAbN4MMOGDbDl3jl8hRo82PhMlsXo1QEIZkQaBVS5OaNUK2LPHPl1urvXv/qhAMjM+SaUlE+h4\n5SarQM6d4x+n78XKJTZ/PjBlilhu0fGSPC8aUidIA2lXfnbP0FcKCsyN9GuvAX/7G/Cvf/HTx8cD\n1IRIXL7s/Jp0p4l+XiVRIA88ALRp41wWGT76yL+NrFNX7fbt5nLmBWS+eFH/n5trtDFWnDplfA7U\nbG2py86aNQsbNmzAc889h0aNGuHAgQOevQdEjBgxAitWrDAda9OmDb788kvccsstlue6XC643W5s\n3boVGzdutEzrtCfA45prgDfe8D6el2d8Ji9MairwxBNETvNvIv73P92aEUF08fjxwKVL/DRsBcnN\nBT7+2PiemJgCAHjySeCxx6zlESHzUpBG/+WX9f+8xoFWIOxLW7++uafFIyTE6J3R5588qffyyW9E\nXlI2b72l/09JSTH9zuIvC4TIRhoG+hnt2+fdY7ZTIO+/71sDylogNI0bp3CPi5S3LLQSfvBB/f+E\nCfqIAIusAinNiWMPPQR06pQilbZjR+Dxx63TOG2w2f42T5ktX64rkTvvBGQ20aStlKBWIK1atcLU\nqVM9m+Q0atTIdnV4165dvWL4tGjRAgkJCVKCaZLdBZLszBn9s68FefCg9zEyVAOYXxiitMi17RRI\nkybeFWLRIuCrr/TPpKF7/XXgt9/4ebCN4eLFwMiRxneiQN58E3j7bWt5RPAa3Oxs4/ikSfqwCGAM\nxdkpkKIi/XxSVkeOAGRE0uoRk/yvu86wet5+Gxg8GKhRQ39e5FkT+f75T/2/LwrE5XI2lHP+PDBs\nmP6Z9BzpujdwIMD2kwoKgEqVxHkuW2YM4VjBNtKsAqHlaNIkhZtHSSc78qy4jz7ip5Xt5FnVh5JY\nD6TxJvXCjs2bgW+/NR/7809zj9+u/Nj3glUgvPNffhmYO5ffFvHYtct41wI1eVWquV2yZAmSk5M9\nu6Nt3boV6enppSaUy+VC9+7d0bFjR3z44YeWaUnFql4dGDFCfwAy5OcbL74IWoHQSoJ9IWR8IKRB\nJPLecw/Qt6/9eQS7CkLyLUlPhHeNnBzj8wsvGL4YWQVCXhziKqQh5bhmDdCrl/k3Ot9ly4w86N9Z\nC4RFVGaiIay9e/X/WVnWDVZuLvD114DbrX8nViN9PdEIb6VKwMSJABVR3oNsD/zmm83j51YKRFQG\n7HGXy7h/GXh1XnQtu/silllJRhNmztQ7ajzI85HJnzx39vk3aADQIcys3seffvKuYzYj/h54Q4Ai\nLl8G/v1ve3lKE6nmZtKkSfj55589FkVycjL+97//lZpQa9euxdatW7F8+XK8++67+NHCe0Y/6Dlz\n5HvfDz+sKx0raCcpT4GQh+bLmHqxK8mUDyBuuOg0eXnixtiqIn36qfUwCq8hFt2bUwVSVOQtM/m+\nbBnAjHaa8iAWCH1+pUr2CqRLF4C3sR+xQJYv1/8nJZl/j4vzlofmzTd1S4jAs0Do4U+akBC9geFt\nKeKkAS0sBNatA+64wzcFwiszme3XyTNgrTiXS/wc2Pu6cgV47jn987FjQHQ0Px3vuqL3Y/VqfaiY\nhxMFwl7vkUcAshswvZ2KVUeNNztWxgIBgKgoOflI+fuj41gSpC4bHh7uFe+qNGPs1KlTBwBQq1Yt\n9O3b19IPMnfuJADkz+31+/bteoWVPU4jGsJiK7GTWVgEWnk5USCrV5vlYs+zeixDhwJffCH+nVep\nRQqENFiyCqSw0PsFJt/peJrkJeX5Uejz6eFKVm66DHmzysh5ffro/8nMG5fLe3iSB2u5OrFAAHFD\n5qSHXFAAbNmiK0F/WCCAXD0m7wzvuctaIPv2AWQ7d3pmmtX92z0Xq3PJ8/JFgbz/vj4jDDC3F1Yd\nNV67ImuBkFmfPJ56CijewdjTfsTG2ssD6NsbT5o0yfPnL6R9IP/5z39QUFCAvXv3YsyYMejSpUuJ\nLizycVy8eBG5xd3kCxcuYOXKlWhj4VkcMmQSDAWS4vV7UpI+pdH7+vYy2g1hyTrReYjMeiJXbq7h\nIyHXPHZM7FwjTlE7vc6Je+kF/aKRexTJa6dAyOeiIrECIT3QTZsAsucRncf69d69S1qBkP+k7Ojp\njbxhStFzc7l03wWgT0To0cP7XMC7981aIG+/LW4wQkKclSWRi1bEgN5IFfezcOaM+Vy6MSGf2enj\nvHoiU4/JhAF29iN7XRr2ucumA7wtD1+Ury8WCA0pK9qqFL1nAwboVgsLXR/GjdPfZR5WoxmvvQZ8\n8on+mQyBkjbK7r1PSUkJnAJ5++23sWvXLkREROC+++5DdHQ03uBNW6LgrQP56quv0KBBA2zYsAF3\n3nknehUPfNPrQI4fP46uXbuiXbt26Ny5M3r37o20tDThdXgVmYU3s8kfCoRAHrpVnuxLQ8vNe6Fm\nzjT7SG66SV/fQjvyaIhzW1SRiGyc6PleaejGiNyraEjGnxZIp07e5wH6fY8ebZ5gQJzzgHloAdCH\noAgXLnjLZ2WtkdBv+/cDK1d6/w54v+Tkfkl+jz2mO11pyB5ULpdYUVg1cOQccq28PKOMrlyxt0Bi\nYswyObE2aYgC4d2D7BAWT8Hx0gHeikP0jlm9e+T9d+KIp9PSCoQ41+l73bzZuA9OfFgA5vo8Y4bh\n12Oh6zUPUu5VqgB16xrfA+UDkRq9X7ZsGSZPnozJxO4EsHDhQs8GOjzmzZvHPc7u8QyY14E0btzY\nNoAjzX/+wz9eVGStlWV6I7QCoXud7LmksuXnW8+yodOKeozkd16FsJoeSxDdM/F9yJRJYaGhMOl7\n4+HEByJSIPQCK14egHdjTr9o//iHWVYangIh1714EaADSbtcuk/Bzo/GWiCXLlnPADx5Erj1Vu/r\n098nTJDrgZNyuXJFrEBo+V59lS8TLSu5rhMF4sQCsXKi08+Md/9FRbo/igQFLysLhJYrNFR/H/Lz\n9ckv586Z71VmHRf7/ljdh5UyKCgAduzQ5QsLk1+DVFpIXZZWHFbHaEaOHInY2FjT8NPChQvRqlUr\nhIaGYsuWLcJzV6xYgRYtWqBZs2aYNm2a5XVY05xgVWl5jRkPWoFYVXRyLVJJrr/ePm+RBWLVS5IZ\nRxVVJDJrR8ZR6U8LhHy2skB492xnWS5YIPfSWCkQwLwa3uWSs2hZeXv1Aj77jP/i//Of5tlNtJ+F\ncPKkPjzBK0tWgdBDWDIWCD2cJ+q00DPl7CA+C145yVogdDp6Vj+vMSwo0NdFzJ9vLWNpKxDSMSQd\nMbr8ROEA16zR1y2dOCG3DoQnI+tPOXAAaNtWTxce7m2B9OgBrFrFz7s0sOxzLF++HMuWLcORI0fw\n2GOPefwWubm5CLcZMB0xYgTGjBmDYWSyPIyFhKNGjRKeV1hYiL/97W+mDaXS09OF4UxEL3xBgXcv\nGtCnaMbFGWsRaA4d0n8jlaVSJX11bI0a/EaV/V5QoF+Lt55A1BCI0onuyS6dqPdCXnzedfv21eeg\nWykQf1gg9LoVwHpc205ZPvOMMYWRzY/GagiLdx16uFPUIPLu+cABfvoJE/ReK4GnQMjsJ9490+Wf\nk8NXIHl5YuUgknvXLl3pkfPpa1lBfFG+ONHJTDxROlJvwsIMmcjzI2P+7DMmeVm9NyQPJwrkwAF9\n8SGgK5CICHNdklEgPXvqz6h2bX3WJ42sAmnUyDxES8qloIBvgaxcCTRrZo40UJpY9uHq1q2LDh06\nIDIyEh06dPD8paen41t2pQ2DrwsJ6Q2lwsPDPRtKiXDSMwaMHgTvAV53HfDKK8Z3TdPH50NDzfmt\nXs2/Vn6+WKGRikErG0JmpuHbEE11JfkT/v53/nXoRmzFCqMHY6VAvvoKaN3aWCFOpyHX94cPZOFC\nczq2TGhE16ORGfflzYihr0eXqctlViCkA/Lcc8CQIfzz6XPtrD+Sji0z0kDw7plc66WXgGuv1dc6\nkbQkvZUFQsNet3hTUE8Z0ffFm2YMGLOAfHGiP/CA3riJIHnSfVN6yA4ARO5QK+VA1jKRutyvn3dZ\n81bmk4WRv/7qrdzpMhYpELKm48QJ+TU+7Pt/7Jje6SX3R+rnuXNmC4SWh0xPLwssLZCkpCQkJSXh\n/vvvt7U4/IXTDaVEDY2oIScFLapw9MI54kcJDZVzcObni6cGW1kgaWl6+AQe9HXpexLtNkxXpF69\n9GCHw4dbKxDCokXe1/GXBcJLt2wZkJ7umwXiC7/9pgfBdKpAZs3SrYQhQ3RFLypDUcNNh5zgWSDk\nWVopO7Ke5euv9f/nz8v5QGjYd4KdXUTLxVvoCBjj/U6GsIhsGzboPXs7S4VuamiLCxAH4LR6P8kw\nN7GAvvxS70jWqKEf378faN5c/yyyDNj1U/Q9kBELdv1H1arm9oTGyVBcXJwR14y8x2fP6hMjeAqk\nFJfoeSHlROdZDS6Xq1QWEzrdUCozcxL1LQVkKq/VlEhAXOFYZ3lIiHjqJTvFNT9fHJiOHa5h8yPT\n+lgnOp1OZnxe9BKTiiejCJ34QOyCKZJGjqcQVq8G/vpXPbori4wFwpah3Rh+YqI+i0akQACzAgkL\n0yPEkiGmESP0z7woPi6Xd8NIHK92CoRtJGlEC0TT04H/+z/jPLtZffR1CKTXzbNAROzZo1vqvgxh\nWa3XAcxDWOwxu5mnsgqETLmmZWnaVCyTCPo9I+ew1lWVKuLznU4GIO0DeY9zcvSV93TZWm3c6na7\n4SahE/yIlAL5hRrUv3z5MhYtWoTTMvGGfcDJhlIAULPmJO6calFja6dA2JhXxAKx6rmT39q102dI\n8CCV7B//0KeksvKRl1i0whzg3xMbmJBVIOR+yfgtex/0Qi7y2zff6PF4/vhDHzoB7C2Q33/Xwz1U\nrcp3ols9D1+HsGSGBdjyzM01z/qys0DIMA99PdkhrMqVDd8Fnc4fCgQwGkPWByKCTUMCfMr4QMhi\ny6ws/TmXZBaWyPfFi+vEuw5vhqXMEFZRkaE09+wBbrjBO62sArGbfgyYh7bY9Tiic4YN41stpBzI\n+6pp5iGso0fN98OWUUpKiikW2AsvvMAXwCFSs7Bq1qzp+atfvz7Gjh1rCr/uC6KFhB07dsTevXuR\nmZmJvLw8zJ8/3zLulszY/JUrem/thReMeDbs5UkkV1aBuFxiBcJaCWfOiIew6Apz9qx3fiIFQqeb\nMsU7X3oyAN2IsS4q0RAWXbTkt4ce0hXHggXyQ1gtWxo9Yp4FUhoKhM2TV6XYY/n5YqXscpkXHp48\naUwfpdPKDmGRWXx2UzhJfuSeeTP+eI0zSc8qEFHjJHoGMhZIUpL+d+WKdyfB6XV5Vrim8RU07zqF\nhfrwJ+2YlrVAiAK58UZ+yHRZR7uMAqFncU6dqv8nC3lFiko05EXKhu7w0U50Ntq3zGiFP5BSIJs3\nb8aWLVuwZcsWbNq0Cf/+979RaNPl8XUhodMNpUQNW716xtqBfft05/iSJfoYLCBuBOghLDK3PyTE\neo4+nZfdEBb5zD5g0XlOV8+SRuyuu8zHRQqEjvwpmocPyClq3hRPOwUiuq4vFojVMyIUFJjT0S/e\nmTP6eDi92JL4hejriSwQtpEnPVDWymHlZi0Q0tjQ1+IpEOIPYX0gTle6W1kgly+bF3BevqwPzfDy\nKokCCQkxZk6yQTNZCgv1hbYzZxrHrCwHunNGO8vtZuhZQc/+Et03vSbManKMDDwFQlsg7HKGslIg\nUkNY48eP9/gmwsLCEB8fjwULFlieQ28otaN4XCc7OxstWrTAwYMHER8f71lsyNtQKjo6GqGhofjy\nyy/xzDPPCK9j1dCQpSZEadDWhUjx8HwgdkNYdAWiLRBa8bC9SjY/0Vx82dkb9DUBb0eqqJGg01mt\nQ/DVie7rEJaME13UENPwFAh9jG6syRTvixeNF5IeqRX5rwD+EBZRIOwUW9E0cNKJ2LTJ+zeeAiHK\nv6QKhA43w6N4FwfPtYgFQt4r2fztwpKQcPcyFgipt1Ybm7FyFRWZneF2M/RkII55HlbrlEQ7Ooog\n5UB3NGkLhLVcgsoCcbvdyMjIQEZGBlatWoUPP/wQzcm0BQG8DaWmTp2K1NRU7NmzB926dcNU+u2l\ncLKhlExPlTiX6Nkd5Dz2xXTiA+E5uukHLNq1rbDQ3uKwi0Elgo0Pxfp8ZHw5PHm+/97+HHItWSc6\nkdNXBcK+JKx1AXh/Z4ew2N/YHjANPcmADQljZYGw6eyGsHjDUVaNUUkVCLnGpk38QJ3stYgCad+e\nnw8L69vo0IEvT2GhnAI5fdo79Dw5p39/sR+xqMjs4/I1xBGdZ2Ghc4e4L/CeHW2BsNOQS2MWIw8p\nC+Ty5ctYvHgxMjMzUVhYCE3T4HK58A8SQ4JD165dkZmZaTq2ZMkSfF/cEg0fPhwpKSlCJSK7oZSV\nArGKmisqYJECkenhAOZeTVgYf3x57lx7ZzstgxNEIc55M6wAczlYKZCJE/nXsxvKIL+XhRO9sNDe\nKimJAqF76pMn6zPICDwLhNcYWykQnpKXUSAl9YHQEyF45U4rRlqBsD14+rrk3cnPB8iWPqRcrXwu\n9DsD8N/Thx/2jrJM8v7iC/MiYvr+iorM+fH2qJdVICRdRIQ+zdsqjT+gn29kpN4BpS0Qtp4HlQVy\n1113YcmSJQgPD0fVqlVRrVo1VHWy80kxWVlZiC2OPxwbG4usrCxuOicbSlkVFPsA6eEa0XlOpvES\nRBYIb6ofYCzG4lHWFoidArF7CUR+EzYmmEhhO1Eg7FRO3kvDXpdnpYjuKS/POiIt/bLK7IfBi4tm\n5QPhfbcawiLIWiBr1vCPk/QkKjILbV0VFekNmF3HgXzeulW8hTGbR2iod33gvac8RzN9jmgYuKjI\nnB9Pgch22OhriMIp+VOB0HKRWYRhYWbriiaofCBHjhyxXXnuFJfLJVzzsXbtWtSpUwcnT55Eamoq\nWrRoga5du3LTXro0ifqWAl5Id+OaxmdZCyQ01N4Hsn698Zlu+FjHOcGqNynjGLaC5E0chNu26fPT\nRRWtSRNjNooTxyhPXrqRocNRAP6xQIYNMysRGR8IOUZWVltZIFeuWFsgdBnyFuuxz5WXj5UFwvsu\nq0BI2pAQ8ZqJl14CnnjC+zh5NmTdgtXwR0SEXkZ2s7CKinRfEj1IYWddh4V5D2na+dh4eZ04AdSv\nr6/ZiYsz8nj5ZYCO5eqrBbJ6tVkGu6FBf0DLRSzbsDDxzED2GZbWOhApC6RLly7YTiaCl4DY2Fgc\nL16VdezYMdQWLHd1sqGUsRfIJFgpD0BOgfBmYZEhLHY5CsmPjgsp6tHTFcCqMbBrXGQhckyfrs8P\nF1kgYWFAq1bia9m9UCKlw/bknfpAWAUybpyxVwjh5ZftJwGQY6Sq8fwkBDsFAhgWBG+9DftcRbO1\n2IaWDUvDiwTAqzN16+rBCNlNnqx6n7xdOD/4wHweG+WAvnZEhF7mBQXW91tUpFsfVv1OXl0ks7EI\nvHvhHaOfWYMGen2rU0dXEuQ6CxaYzz171rch49RUgN4kVVS3S8sCIb41slAV4FvaNAHdD+THH39E\nhw4dkJCQgDZt2qBNmzZo27at44ulp6djzpw5AIA5c+ZwQ7s73VDKqoH1ZeocaZC2btWn/tJDWLx5\n4yyingnbOhBIAAAgAElEQVTPGuFZImyD4a9ejGis9NIlwyHsiwUi6g2yCsTKAuFdl1Ug06fzh4Ts\nQpCzefMaDYKMAiGdCdYC2b7d3JDccYecc5U3HCNrgURF6Q06USAvv6wvAnUKG8yRF7aDXD8iQq+3\np07ZKxC7dTq8ISxfFYho8sSVK+IhsRMnrNsIq5XktOxloUBYHwhgtvJZGYJqCGu5D9G57rvvPnz/\n/fc4deoUGjRogBdffBFPP/00Bg4ciI8++sg0Ffjo0aN4+OGH8c033+D48ePo168fAKCgoAD333+/\n5YZSVviiQEiDRLYksZvGy5vlQ7BzbPKc81YWyPPPGyvDRYj8KyILJC/P6JWK/Bk8GjbU4zPR+W3f\nDnz+uTML5Phx/iY8srNI7J7pzp3m2EBTpujOb94zlVUgPAtk7lzzd9rBScMqTN4e9YWF+v717dsb\njRhPgZDODWlEXnxRHFNNBruFkoBhgbz/vvdvrAKx2C7IKz1gKBC6/HkNoVXUYgK5B3a7X/rcrCxr\nC8SqHOj7F9VVf82Eio42y0KGsMLDzdF5S+PadlhaIOeK54ZFR0dz/6yg14EcPnwYI4rDiPL8HuyG\nUlOnTsXly5dx5coVv+69znsJa9Y0f+cNTVjNwpJVIDwLhDeObqVAbrqJL4MMrA8kN1dfOJeXZzRS\nToawiKKlz9mwQd9yl/hAaEQ9onXr+DF87DZ1ItjN1tq8GWB3X87K4lsuRIFYQRSIKGAhgXZw0rAK\nRGSBDB2q72xI6hPvNSANLj1rqSS9XlHgS54FwoMdehNF9CWw1yEKkYadrsteR5QXScPOUKPPpaPc\nEuyUFw9ROtGqch70bpwsQ4bwh7BCQ42Q/IGyQCxb5/uKN+Bu3769KZw7+bPC13UgZD+QFStWYPfu\n3Zg3bx5+o5fClgDeCx0VZf7OLnIifhDZufWiB0dXTKtd3X77zdielpXZrtGygrVAevbUg+Ll5xuz\nOpwMYRFZ8vP1TZPYc2SHsEpCWpq5rETwGlVeWToZwrLr1xAFwnZaWB8IbwYPeQ7ffWfE4rKyQGhK\nW4GEh4vroZ3FzcrWqJH5O+9+Hn9cn+hBI2OViCIV0+nOnvWWk14cKet/FNVtJ+EChw/XN4riwc56\nIxbI8ePivWSCQoEQqyAzMxMHDhzw+rOCtx/IkiVLMHz4cAD6OpCvvvrK6zyn+4FY8fzz5u90nCNC\ntWrm72xPnYx3i4YjSLpff9WjeopMR7qikuEx3jqBDz4wQjcD5uuyL5ITSD5jx+rTOffv162QvDyj\nR8PrzTNLeTyQHvyJE+botBERvikQNvSKDG3aiMOO07CyaJq5ESS9PxkFQoamZCyQK1f4GyCRuhAT\nY+8DIX0n4uim8bcCEQ1h0cqLWD08ZNaiWMGbiAB4b3nMe8fYY2RkYeJE8yJYuh5evOi9mp6sEN+2\nTX6bWJ48lSrxZ3mJYIfuaCIjzdcg76vVxmhB5QMBgO3btyMzMxMFlGTEVyGLzDoQp/uBOIEOjEdg\nl7OwPXWiQKyGsKpU0RVRQYH9hlKAHjnz+ed183P/fnM6eo9u+ryoKKPH9thjRvBHWUijnp+vN0p0\niBLinOaFdhAtkhI5r9PSnPlACNQjl0Z2KZJoPQabT0mc6CxhYXx/FK1Azp7lWyC8WVg0VarojV9I\niHeDy9sYSRYrC4Qgq0B8mT3IU4i8vGT9IoC+pawo3fr1/J1JAV1p2S0gJvD8WLVrA3/+aX8uwUqB\nVK5s7twRBUKvOQuUD0RKgYwYMQI7duxAq1atTD4JpwqERrQOxOl+IPr0XUIKrKby8tYtylgglSvz\nrRfAcKgSK0X04NieJn1deiorG2Lliy/M332FViBFReadBkkPLz/fPLccECsK0XES2qEshrCqVuWH\no2CxUyDEB2S3kBAwhjNJ423nI+Jdl26UJk/2TkOvsuY1xDNmAKNG8RtctkPiBFFMLNoyIHWdB10W\nPEXGbh9UqZK5YeQtxgTketeyDaZsPZQZLk5K0v+TnQtpatVypkAAsbISWSB03bcro4DuB/Lzzz9j\n165dPjTuZsg6kLi4OOE6EKf7gZgViDVr13ofk1Eg7FDDwoXGDBPSGyVDG7IONXr4iu3p0HGWRCFE\nnEAaPXqPeNoCqVXL+MwuEhM1qFa73jlxopeEKlXEMcVoWAVC/FoEXy0QngJ55BF9r3ar6cW0UhCt\n0ibwGhUiL20NEFmqVuVHmZVBZIHQddfKAhGdIyIqynuzrdJWILLpQkPthwOrVNH3luchM7RKQ7+T\nLDIWiJ2VFtD9QDp16oTdu3eX+GIy60Cc7gdSUti53myIdk3T96Kmw37TSoe2QAoK5CuoaB9l8ltJ\nLQ4aYuHwFEheHlA8quhRIDROLRCiQJwOYfkydk+XoVWjxsqqab4PYUVEGM+cd01yLVH5iBZOiuBZ\nIER50zKQ/7xh2sREuWtZbT9MsLJAaGQsQ/bdE5WpzPCMvy0QGSVJ72HCQjplTpBVIKTzaVXGQTGN\nlzBixAjceOONjhYSsvuBfPzxx3j66aexatUqJCQkYM2aNXi6eIpJSfYDKSlsJeZZIKwCIY0jGY6g\nw53IPjj6uuw5V66YV7qWFCInrUAI588bCoQNQseTjWA1E8eXISxfxswjIgxFYNWo8ZRxSRUIsUBY\n7BSIKHSLCNH6IcDc4JLyI/dyxx1G+p495a5FntH48eI0shaIzHvgqwIpqyEsu06NldXg1AKxQjSE\n1bq1+BwSXaK0kRrCevDBB/Hpp5+idevW0usy5rHeq2JWr16NN998EzNnzsTNN9+Mhx9+GI8//rhp\nP5DKlSvj+PHjaNy4MRYsWIDCwkL8H9nuzs+IFAjtRI+JMSsQNnwG7QORraBWDuCcHH1BHg3dWLGz\nUuxgLRC2USJjuQUF3paRaDjE3xaILwqkUiWjXKwsNt4srJIoENJpcGKB0CvG7RTINddYb31K8ubJ\nQOozPUTqcolnfNGQZ2Q1Z0XUyIvysoJ9B2SHsHh1xd9DWCEh4sWgBKvNpGyWyQnz41G5snmCC3m2\nb7+t+5p40Qfi451f3xektEHt2rWRnp6Oxo0bIz4+3vPnCzt37sTMmTPxyy+/4Ndff8XSpUuxn+P5\nu/XWW7F161Zs3brVVnmwlc7J2kO2MeZZIFFR3ltJ0ulpH4gTC8TXYSp28aMdrA/khx/MY88NGwJz\n5ngPYUVE8GeYAIYSZaeXEgvEqQ/EFwVCy2r1zHmdBDo9MXCvXOE73GkqVTI70VlECoS2WsPCxPur\nALrFSxANYT3wgO5Ip2UICzPulb6PkBB9dp9dr1Sm80OsbTvy84EWLazT+KpARNeTQbaDV6WKdSgT\nQK9HIgViV49YrKyZyEjzcBWRKywM+PJLfoDMskKqqU1OTsbgwYMxb948LF68GIsXL8YXZHqQQ37/\n/Xd07twZkZGRCA0Nxa233srNS3Y/EMD7QTt5eHYKhF0zAJgbB9oCyc0FXn1V7ro+RMP3UKOGXLrr\nrtP/sxYIb1lNaKi3AqlSRTyXnZTByJHm42VpgdDXsGrUeA5GuqG6/npgzBjnFghPgRA5WAXCbiXQ\ntSswYAD/GrQCEQ1hffwxMHiwuVyrVDHqM/0OuFy6386uQZRphJ1YIHZxyth3QKSUfdlczEouGa65\nxt7Sp2czstjN5uNhldelS0aeDRvq/10u/Zgv1o6/kFIgFy9eREREBFauXImlS5di6dKl+JpsyOyQ\n1q1b48cff0R2djYuXryIb775Bn8y891cLhfWrVuHpKQk3HHHHbYOfPZBO3l4ZPyfwBvCAswvA/k8\nb54xHu50lbjdy2wFK7MIssqeKBArxUrGfOn7rFxZHFuLpCONSY0aekMsUiAyFsjf/madhieDzBAW\n62zMz/fuuZOQIOHhxgvKg3aiO7FA6N0aidzPPce/Bh0dwcqJDpjvLTLSGIK85Rbva9MNP+8eZRpX\n2bqel8dPR1bWA0DjxubfRMrJnw5hUg9lOpl2CsTKaiD1/7HH5GUT5RUaqj9n8mzJ4A87gSIQSPlA\nZs+e7bcLtmjRAhMmTEBaWhqqVq2K5ORkL79K+/btcfjwYVSpUgXLly/H3XffjT179gjzZB+0Ewuk\nenX9wd1xB7B8uXcoE/KfDp1MN45XrhjjpU6wmoVlxfr1ekMt4u239d40fQ0yhGW1XSl52el7s1M4\ngNE49e2rX5fE7fHFArnnHuCdd6zT0YSHyznRWQWyY4c5fXi4EZQwPFwf4svIAOhlTg89BMycacy2\nI0qHhfZP0JC0mZlG8ErR86Bn+Vk50QHzVE66cR8xQt+5j742Le+4cXpUAhqZXrwTC4T3TOg6VauW\nPkOM9A9FQ1gy1mmzZvy4WSykLkRGiuOokXUdMgpENIRF6r+TzqydAomNBW6+2ZCL1H3RMHNZYFkV\nPuDFT/AhDcvIkSOxadMmfP/994iJifHaXz0qKgpVirvovXr1Qn5+PrLZTQo8TEJu7iTo60HcAJwp\nEPLC83wf9H+eBQIYLwr9sjz0kHeMLdF1nXLDDfLj/ezOZTIKhL4Pq3JkZWjXzmhceQqEt8qdprBQ\n7zXT28TaYecDmTFD3/yHXQR6/LjZeiAKhHyOifEeJqSndZ88qfuhfJmFVVAAdOumfxaVr50FQufN\n7oBJrwshiLY5ZvGnBSJSILQMTz7pLaevvWnZWUenTun/rTpwZFi2JBYIebay77lVXiEhxrYLy5Z5\ndwhkFL/b7S6V/UAsb2/q1KmoWbMm1x/hcrmgaRreeOMN/OUvf3F00RMnTqB27do4dOgQvvzyS69Q\nJVlZWahduzZcLhc2btwITdNQnbcTDgBgEuLi+NNsZRApEHYIi86TrhR5ed7DGTfdBNx6qx5RVQS7\ngNFf0ErCFwVCv8CyCoSU0Z49Yie6XdRcUt5OJhbQQ1hsw1O1qt7D/uEH7xXQ7HVYBQJYb4tKdrqz\nskCsZlrxZkrRiCwQXiRgVoHwhvSInHYNf1lYIPS57DsgmzcPWb8g2eDK6l0gMKH8vJDxgTjpKPLy\natjQ8E8SmVnrX8ZdXFoLCS1v75ZbbrH1dfiyV8eAAQNw+vRphIeH47333kN0dDTeLw6wP2rUKCxa\ntAj/+te/EBYWhipVquBzdk4rA6swnAwPsVNbeU50wFwR6BeDN9YbHm5tdp86JV/hCbINK1VHTLM1\nRD6Q117T/ztVILweLgkg+PLLxvAJQcYCAZwtKJSdhcWDTs9TICwxMfr/c+d0GaOirC0QtvGhGyyS\nRlS+7EJVQu/e+gQIpwrE3xaIUyd6gwZGjDe79Tq+KpDoaD2Mi2zAURkFYjfR1KquOrVARPlNn26U\nGcnTFwuktLC8PX/6Pmj69++PmTNnoqCgANu3b8dtt92GUaNGeX7/61//ij/++APLly+HpmmIsHna\n7ENyokDYfS1EisTOAgH0aZXvv6//zo670yuQecrD6QplHk89Zd72lbZACgv55cIOXW3davxmZcnx\nXvTQUGMPCPZcWQvECTIKRDQ+zHOi03myL3OLFvp8+yFD9F6hqLEj+VatqofOIXu4xMTocc1uvNGo\nP/7wgdD1TBTNVtbZKjsLS2YI669/BciOD/Q9WHWESmKBREV5O+WtkBml6NePHwWZYKVA/OED2bFD\nXyy4aZP+nYSyYocpfXl3/EWZ++9l1oEsW7YM+/btw969e/HBBx9g9OjRlnn6Q4GwFofVLCy6UuTn\ne4eRoHcKI/BeOnrDHV9nZVk1oiTP8HDxEJbI6QvIWyB0XsTfwOZnF/OJHcKKj9f3SLCiXTtx75oc\n79WLf65TCwTQG/YzZ4yFl3aNIV0GRUXG7DnWAnnwQbPlSCsQnuUmUiCiBljWApFdByJrDRPnOK1A\nrGQQKUAZnE5llVGCPXoAnC2LPFh1+Ej+TixqNi3x64gmZASDBVLmCkRmHQi9b0jnzp2Rk5PDDf1O\nYF96GfOUPZcsenr5ZX0lLln/QB6qlQXCzmAiQzk0vBeHDuVtp0BELxatLNmKxvpAeAqB5zwnWJVj\nrVrAsGH8vHhs3Cj+DfDuRUVHW1+/aVNzg0Ou3b27/p9uNHlla6dAeC8+SUNie1o1hqwCKSw0D/UB\nxv01a2aW0c4/Rtc/euq1qAFmx8p5IeQBeQtEtpFnO2GAMQONR0niv9lNWmGRnXZvtRjSLugmYD90\nK+KNN8QzDK9qC0RmHQhvTxA2DY0vCoRE0SQv37vvGvPyb7gBeO89/bPdLCx6CIs00DwLhNfYbNhg\nfHa6cpVgpUDo1c+Fhc4ViEimGjWA1FR99TqNrzPLAP72pk4gL9Ozz3r/xuuh0TNsQkP1abuA2AKh\nI/iS+mW1kJBngbAKhOTHhlYR9aZFWyGTe7EbAiKNmSh/WQUi26tmJ6QAuvKtU0ect6/IWiDERyKr\nQO66C/jwQ/5vMgrEbuiWzku0na4o0ga9tihQSD2y48eP48EHH0TP4qhsu3fvxke8IPgS0OtAevXq\nxV0HAnivRLcKJc82XDKNMbtiOCyM34uR8YGwFgi9ZoS9Hk3nzsZnpytXb75Z/8+GhachxUr2AOFd\nw5chrD//BDiBlE3l4qQ3WbeuEcCP7nVZ5cE6i9mZRvS5vBesTx9g2jQj7fbt+mcrC4TkScrFyt/g\ncpnLlFZAbH1llafl7gXwflb0eh+eTHTkZStkGiKLgQAvyLtDvwu5ueIhZifWDYusBVI8V8dRZ0fU\nw7dSIORZ21kH9P3S+TVrZnxmnzdb94PeAnnggQeQlpaGo0ePAgCaNWuGGTNm+HxRu3Ug7J4gf/75\nJ+rR3mETk5CZOQn0OhCZxpgUPp2WV3l5Fgg7C4sd/pAdwqJxqkB++EH/b2WBkPvJyxPvoueLBSI6\nTufBTpPlsWCB/n/aNCNiLHmJ6MaEbAFMwz4r3voHAj2EQoaKNE33oRCeecYsq9UQlpUFwjrnaRlY\nC4TANtx2s3+cKhCCnQKRsUDIHtwykHKn7+/cOf4MMfLZ7j0R1T1ZC4Q8Xyc+E6vdSO1ISwP+8Q/x\n77T7l/bD0jtYyE6/ZppRE6W1DkRKgZw6dQqDBg1CaPGdhIeHI6wE4xUnTpwAAM86kMGDB5t+T09P\nx9y5cwEAGzZsQExMjGcrXG8moWXLSdAVSAoAfiVjt1/n9QZ5lZeM87POauKcpS0Qp0NYNE4VCHnx\nrBQIuWZOjh5Vl/fIeAqEBBe84Qb+tUX3IrJARD3Opk31/7y4YNdfb+RBnNY8unQxf7cLbUK/pLSS\nIPu62/k1AO/plLz82fUadABHngKh5bXb3lekQEQNML15GHuMRma83pdhJrqHfP68tT/PbgKMyFdo\nZYHQOzyGh+sTOgTBwrn4YoHQHaHbb+enuesueLaprlJFr8s8JUDKnPTZ2fIj8lk1ySkpKYFTINWq\nVcNpKnzrhg0bcA29bZ5DBgwYgFatWiE9Pd20DoSsBbnjjjvQuHFjNG3aFKNGjcJ7xCEhQBT59K67\n9P/HjhmfCbzeIPtyvPuuEVOIbRzJgxdZIGxvzteelR233AIkJ+ufRQ3LuXN6CBReBWOHsBYvNn6j\n95SQQVSBRY0COU77I8hzeest6940qRJkKI89X3QuvW8G3TCQ9KQRdWKB0Hs/kDxZpWBlgbANVHi4\nOAYZ73xZC8RKQdSs6d+ghbxzbrpJj9IgIjLSfvV3aKg5kjTByqKgfS6VKumNtJOI1iVRIGzkZx47\nd+od1fnz+TsckneTrNdmnzEpX6fx+PyBlBkxffp09OnTB//73//QpUsXnDx5EosWLfL5oj+Q8RcK\neh0IALzjICgS23snBUwCxsXFeZ8jY4GwM3Xo46RSiSwQtidh93DtLBBRw9Ciha7oeL3PlBTdUrrx\nRv27jAVCTyflNfxW4630PdAvF53P3r26v2PJEqMhtpslRTNoENCxoxEOhIX3UicnG+tbiIVQrRp/\nCMJqi1zWB0Jk3L7dqGPkZWYDNsoOYZG5Ilb1xakTXcYHUqOGEebDCl/G28n99eihl3tJLBDWt0Sw\nUiBhYcCnn+preETv2d//Dvzzn/zfRPfMqz/btwNt2/IVSMeO+hAgecYkjV0YFruhUyJfIBSIlAXS\noUMHfP/991i3bh0++OAD7N69G0lW4wo2TJkyBa1atUKbNm0wePBgXGG6Rm63G9dccw2Sk5ORnJyM\nl19+2TI/kXuEjYFEw/OBsC8f3RixFgh5aPQ6ENqJzkZ3KS0LROSbAfQXlx6GkvGB0OHMr7tOPCzG\ngxc+g/3ctKnxspPGQjQswWtoPv9cj6HkhJ9/NvaZJ89NpEDY9UA0ohc5NtZ7/RAbMt5qCItuoEhd\nllUgzz1nzB60s0CsLAzZHrlTBcKrEyIZIyLs3wPRMJ3VEFZoqN7xAMQKxKrcHnhAD5/PomneARzZ\nXQLp5z59umE5O4HUSVGdCKQFIqVACgoKsGzZMqxevRrffvst3nrrLbz++us+XTAzMxMffvghtmzZ\ngh07dqCwsJAbqsTJhlLNm/OnBh46JD5HxgKhXzg2HXloPAuEjtEkypuFV7Flwp3QlYatQGyP02ra\nKS8aLyAfGoLF5TJm7Ij2buZZICIHq5PrsufSUXsJVat6K5D16/WowoDei2SR8YGQelGSISxAXoG8\n/LLhcC3JLCzZ0DqFhWblSg958uC9X1YWCE9GsgKbnMuWTf/+1lP3eZEGWKzqWvXquhJh0TTDj8fm\nQ8qInn3HrtORnQ7NKn5ffCClhZQC6dOnD+bMmYPs7GycP38e58+fR66PMYSjo6MRHh6OixcvoqCg\nABcvXuTOsHKyoRT9kGhiY8WmLe9lZh8MXZnpxVe0AnnmGePaZAEYr5LaKRD24X/8MbB5s/U57Hl2\nCoTXkLM+EFZ2XyslPW2YtQTZCQD+UCBsdWHPZV/C3r297/WGG4z7jY0F1qwx588qEJ58Vj4Q2Wm8\nAF+BiNaBEGTXgfDgdRR4s4dYH4jdTCRyr3PnelvlLJGR/FGDW28FjhzRP/PukVgXPG66SVcuorIv\nCVb3zhvC8nWast0i46D3gRw5cgTbyUT5ElK9enWMHz8eDRs2ROXKldGjRw90J8uHi6E3lKpXrx5e\ne+01JCYmWuZLNyDkIX30kdjpx+uRWFkgxRPHPPnTJj95cGQ2Ea+S2ikQksfhw/osnIQEY0dBK3gK\nZPx43VxmG02yuv6VV4xhD3bdBFsJfa2U9IsjGkrkWSATJ/LXmJQUUg86dtR9BlFRun+IxBniIdoU\nymoar68+EDYvKwUiqkv168tP42UV7s0367N83n5bH6OfNk3fU2TdOj0kPoFVdqQRffFF3RHMTkEm\n90pHprayQETWKgkTVKWKd9nUqsU/BwB++sn83Z+NLCnD//1P7/C99JJ3GisFIttHrl9fn0VJEFkg\nQ4bo8dfKEikLJC0tDd+SOMglZP/+/XjjjTeQmZmJo0eP4vz58/jPf/5jSkM2lPr1118xZswY3G3Z\nokzC0qWTUK3aJNSp4wZgdnbSjZOmAW3awJRGdgjrn/8ESEgulwuYMsVbEp4FkpysTyG2q7hsmAyS\nnoRSEL10PPlJhF22h3399Xq+tAOaXIc3Dg8AjzxiLbcIet0J21MbNUrffIrITst57bWGI9+XKaPk\npRTNVFm3DvjuOyN/EvCPB7uuhbVAEhO9LVziGmR9ILxQJqxsNLx7twp5n5WlO4p555F6LPKBVK9u\nOOJr1DD8CfHxwKpVfBkImqZvkvV//8fv8PA6Uz16GDMH2enetJU0ZIg+Q4mmShU9TzriAM8Hesst\nRiwuGtF76ItlQOpao0beiz9FFkinTsYwqROsrBAy/PjII8Btt/HTBHQdSJcuXdC3b19ERkYiKioK\nUVFRiPZxI95NmzahS5cuqFGjBsLCwtCvXz+sW7fOlMbphlK9e0/Crl2TkJmZAkCf1cDrDQDeK5d5\nDTAZ16RfuH79dAfYjh36d3q2CJm5w1MgderoU4jtGkP69/vu0xsnAPjtN+vzRENYO3YYU5ebNNFj\nUY0cqTdW7PoE+j+gR40lC8YefRRo395aBhrSANAvzosvmvO46SZ9mi4ALFpkhEpnKckQFgtp+MLD\n5dfcsI0f60RfuNAYWiEykMahoEC3JBcu1L9fuiQeRuG9SmxDV62asYqaVy61a+sWMO83spmnpvFX\n6rtc5inVVuXDUyDXXSfXwSG8+SawZYv5WKtW+nDw3LlGiJ+aNb1nKJF7fOUV4xhPgVStaqxnoikN\nCwTwvn+eAnG5dGuJhP5zEmiRhr3WnDneM7tYAroOZNy4cdiwYQMuXryI3Nxc5Obm4ty5cz5dsEWL\nFtiwYQMuXboETdOwevVqr+GprKwsjw/EfkMpI6Ac6RlWqqT3iHiwTlbeEBYZ1uD12NhZFoAxREMU\nCP3S0A0X/Z2FViCffSYfmkGkQFq3NvLct0/v+fDS5eTo/2kFEh1t3nf988+9416JIM+AtkCuu05X\nYDy3Wf/+voev4OFy6ZsG8baxcWrR0OlpHwjprUdGigMfkiGsAQOMDYF4Fsj+/bojXDSERWbR3Xqr\nscDQaq0Eryzp/dHJ82EbP5KnSIEQme18IG63uUxkG+zZs3WF0aCBEeKH1xjSPfG8PH3iA693ziuH\ntm1L3lmhZ4lZRRnmOdGtZnk6gW0boqLEM1FLGykfSMOGDdGqVStuzCqnJCUlYdiwYejYsSNCQkLQ\nvn17PPzwwyXaUMoXeGP+7Asus7AKMC9OA8wvIPmN9DJFRWhXtKIKTlcm2ZeVvhbZydFKYTVr5nyl\nfGGhOT5VaKjzXRh9VSyiPc6cOlBFAR7tdqoDdB8WoWpVfTEnzwIhe1i8+CJw553GcfIsV63S/UI9\neujf7Rodth5dfz3w+OPGd940WZfLuCeRAqGnKdMznlgFcuut+u/nz+t+jw4dgIMHrWUGdN+UDHTU\ngvBw72gJ06frPkBe3aFXpPtKTIzhD7WyQKKjgYEDdWubDJ6wz8bXtdixsdbrlcoSqVeqUaNGuO22\n2+eXOwoAACAASURBVNCrVy9UKq6BLpcL48aN8+mihdSbmZ+fD03TfN5QavlyvdLSWL1kpLdCKj79\n4NmZSLIKhIhHXk7eEJHdiJ8vuvn33+mGyo3Q0BSp80jxf/214W9o1Ei8+RKg93BIwEMZaNPd12Bv\nvg5hud1upNArIqEPCzoN+c3KTeSxUyC0vwPQ69y5c9YKPinJHLKFjuo7fbq8zPR169cHYmPdICF+\nALECIRan3RBWQYGuoDdt0ht9Xr0mMhRHI/IrvLA3NOPGiespr16w2DXqTZrwFQjNoUN62RNfI7Hy\n2XfcLmSNFU62rChNpJqtRo0a4fbbb0deXp5nCq+v03hl1oE42VCqZ0+zSX/ddd7xkWi++EJ3rvEa\nNTKbw6kCoad1ZmebTWqiQESmMxmZo3usLAsX6sNaLM2b0w2GW1oJkWGI3r3NVoGVhRAebjjnZSBD\nWF27lmwtiRNuv10f93bTCweK+ewzw4cgi0jx2TUy7GwbUq6knsooVKsgl3bXJmRmAsnJbtPvIgVC\n3xNvZTS5H2JZduigN5R9+jiTzwlsAx0TI44rJQOvXhDI/ZHGnsfBg0bQT8Dw49HnA7pioL+TsmWt\nNTqYZ3lFygLxp9OFXgcSGhrKXQci2lBKHFDRIDPT+ve4OP2Pt8iQZO9y6Yuz+vWTuSPzS0n3Th9+\n2Kjwokbn8GG9cT5yRGyFDBggJ4dsY1MW4Z/Jy8KJWuN3XC59mieZXeUv2AaMTKV0OhRG95rz8+We\nE22BOIH1ddEN2XXXmX8H9AVyZIteImunTqxFp8sxebL5uKgH7UTxW6WlY4wBxnCrDLJzfDp00DuV\nVlvXEho21CeiXL6sT9KhnyOJjcejbl19wSXt1D9xwlk8rmDF8lX429/+hnfeeQd9ON0Ml8uFJUuW\nOL6gzDoQ0YZSMgpElrp19ReCho6Z9d//yufFW7UMmCtlhw7ArFneaYi1Eh9vnlnilC5dxPGhWEq6\n97oMJA5ZSZBtPI8fLx2T/qab9H3QN27UOxNhYd6Nmgz9+5v3nZHBbtW21bVEQyt79hj5ksaLDtFx\n5QrfQiFDxMuXy8nw00/WYYRoOnc2b+1MOHrU9wZ2717551Stml5XZZ3Q9et7txuAPhRsNWLBdkat\n1q6UhPbt9dA9ZYZmQbVq1TRN07SMjAyvP7fbbXWqkH379mktW7bUTp06peXn52t333239umnn5rS\n9O7dW/vpp58837t166Zt3rzZK68mTZpoANSf+lN/6k/9Ofhr0qSJT+03i2V/qGnxggg7x5MT6HUg\nADzrQO6//35PGtkNpfbt2+c3uRQKhULhDEsFcvLkSbz++uvcuFS+zsJq0aIFXnrpJVy6dAmRkZFY\nvXo1rr/+elOa9PR0vPPOO7j33nslNpRSKBQKRSCwVCCFhYU+z7YSIbMO5I477sCyZcvQtGlTVK1a\nFR/zYikrFAqFIqC4NJ55UUxycjK2kp14FAqFQqGgKPnS8gCwYsUKtGjRAs2aNcO0adMCLU6pc/jw\nYdx2221o1aoVWrdujbeKJ6BnZ2cjNTUVCQkJSEtLQw41iX3KlClo1qwZWrRogZUrVwZK9FKjsLAQ\nycnJnhmCV2tZ5OTkYMCAAWjZsiUSExPx888/X7Vlwduo7mopi5EjRyI2NhZtSLRY+PZObN68GW3a\ntEGzZs3wOB3CQISVh/3UqVN+8dT7k4KCAq1JkybagQMHtLy8PC0pKUnbvXt3oMUqVY4dO6Zt3bpV\n0zRNy83N1RISErTdu3drTz31lDZt2jRN0zRt6tSp2oQJEzRN07Rdu3ZpSUlJWl5ennbgwAGtSZMm\nWmFhYcDkLw2mT5+uDR48WOvTp4+madpVWxbDhg3TPvroI03TNC0/P1/Lycm5KsviwIEDWqNGjbTL\nly9rmqZpAwcO1GbPnn3VlMUPP/ygbdmyRWvdurXnmJN7Lyoq0jRN0zp16qT9/PPPmqZpWq9evbTl\ny5dbXtdSgQQj69at03r06OH5PmXKFG3KlCkBlKjsueuuu7RVq1ZpzZs3144fP65pmq5kmjdvrmma\npk2ePFmbOnWqJ32PHj209evXB0TW0uDw4cNat27dtDVr1mi9e/fWNE27KssiJydHa9Sokdfxq7Es\nTp8+rSUkJGjZ2dlafn6+1rt3b23lypVXVVkcOHDApECc3vvRo0e1Fi1aeI7PmzdPGzVqlOU1y90Q\nFm+R4RE6pnYFJzMzE1u3bkXnzp1Nq/NjY2ORVbyH7NGjR1Gf2qCgopXRE088gVdffdUU3PNqLIsD\nBw6gVq1aGDFihGcyyoULF67KsqAXKNetWxcxMTFITU29KsuC4PTe2eP16tWzLZNyp0Bc/oz9Xc44\nf/48+vfvjzfffBNRTGRAl8tlWTYVpdyWLl2K2rVrIzk5Wbjt8dVSFgUFBdiyZQseffRRbNmyBVWr\nVsXUqVNNaa6WsuBtVPfpp5+a0lwtZcHD7t59pdwpEHaR4eHDh01as6KSn5+P/v37Y+jQoZ4dGmNj\nY3G8eOenY8eOoXZx/AbZhZjlkXXr1mHJkiVo1KgR7rvvPqxZswZDhw69Ksuifv36qF+/PjoVB7ga\nMGAAtmzZgri4uKuuLHgb1a1fv/6qLAuCk3eifv36qFevHv4kO1NBrkzKnQLp2LEj9u7di8zMTOTl\n5WH+/PlIT08PtFiliqZpePDBB5GYmIixY8d6jqenp2NO8U5Pc+bM8SiW9PR0fP7558jLy8OBAwew\nd+9er8Wa5ZXJkyfj8OHDOHDgAD7//HPcfvvt+OSTT67KsoiLi0ODBg2wp3jLwdWrV6NVq1bo06fP\nVVcWoo3qrsayIDh9J+Li4hAdHY2ff/4Zmqbhk08+sdlOHNazsIKVZcuWaQkJCVqTJk20yZMnB1qc\nUufHH3/UXC6XlpSUpLVr105r166dtnz5cu306dNat27dtGbNmmmpqanamTNnPOe88sorWpMmTbTm\nzZtrK1asCKD0pYfb7fbMwrpay2Lbtm1ax44dtbZt22p9+/bVcnJyrtqymDZtmpaYmKi1bt1aGzZs\nmJaXl3fVlMW9996r1alTRwsPD9fq16+vzZo1y6d737Rpk9a6dWutSZMm2pgxY2yva7mQUKFQKBQK\nEeVuCEuhUCgUwYFSIAqFQqHwCaVAFAqFQuETSoEoFAqFwieUAlEoFAqFTygFolAoFAqfUApEUWH4\n888/cddddyEhIQFNmzbF2LFjkZ+fL3VuSkoKNm/e7PO1J02ahKpVq+LkyZOeY9WqVfM5P5rMzExT\nmG6FIlhQCkRRIdA0Df369UO/fv2wZ88e7NmzB+fPn8dzzz3nlbagoMDrmNNYQUVFRV7HatasienT\np5vyDAYKCwsDLYKigqIUiKJCsGbNGlSuXBnDhw8HAISEhGDGjBmYNWsWLl26hNmzZyM9PR3dunVD\namoqLl++jHvvvReJiYno168fLl265Mlr5cqV6NKlCzp06ICBAwfiwoULAID4+Hg8/fTT6NChAxYt\nWmS6vsvlwsiRIzF//nzTxj2AtwXx2muv4YUXXgCgWz7jxo1Dp06d0LJlS/zyyy/o27cvEhIS8Pzz\nz3vOKSgowJAhQ5CYmIh77rnHI+/mzZuRkpKCjh07omfPnp7YRykpKXjiiSfQqVMnzwZkCoW/UQpE\nUSHYtWsXOnToYDoWFRWFhg0bYt++fQCArVu3YvHixcjIyMB7772HatWqYffu3XjhhRc8w1enTp3C\nK6+8gu+++w6bN29Ghw4d8PrrrwPQlUTNmjWxefNmDBw40EuGatWqYeTIkXjjjTcsZaWtHZfLhYiI\nCPzyyy8YPXo07rrrLvz73//Gzp07MXv2bJw5cwYA8Mcff+Cvf/0rdu/ejejoaLz33nsoKCjAmDFj\nsHjxYmzatAkjRozwWFwulwv5+fn45Zdf8MQTT5SgZBUKMWGBFkCh8Ad2YbpdLhdSU1MRExMDAPjx\nxx89W3a2adMGbdu2BQBs2LABu3fvRpcuXQAAeXl5ns8AMGjQIMvrPPbYY2jXrh2efPJJS3npCEIk\nGGjr1q3RunVrzx4OjRs3xuHDhxEdHY0GDRrgxhtvBAAMGTIEb731Fnr27Ildu3ahe/fuAPShqrp1\n60rJqlD4A6VAFBWCxMREr2Glc+fO4dChQ2jatCk2bdqEqlWrmn5nw8CR76mpqfjss8+412HzYM+/\n5pprMHjwYLzzzjue42FhYSafyaVLl0wKLyIiAoA+7EY+k+/EX0On1zQNLpcLmqahVatWWLdunWNZ\nFQp/oIawFBWCbt264eLFi/jkk08A6L3x8ePHY8SIEYiMjPRKf8stt3iUxM6dO7F9+3a4XC7ccMMN\nWLt2Lfbv3w8AuHDhAvbu3etIlnHjxuH999/3NP6xsbE4ceIEsrOzceXKFSxdutTx/R06dAgbNmwA\nAHz22Wfo2rUrmjdvjpMnT3qO5+fnY/fu3Y7zVih8RSkQRYXhyy+/xMKFC5GQkIDmzZujSpUqmDx5\nMgDvWVajR4/G+fPnkZiYiIkTJ6Jjx44A9JlUs2fPxn333YekpCR06dIFf/zxh9T1Sf41atRAv379\nkJeXBwAIDw/HP/7xD1x//fVIS0tDYmKi8HzeUJzL5ULz5s3x7rvvIjExEWfPnsXo0aMRHh6ORYsW\nYcKECWjXrh2Sk5Oxfv16+QJTKEqICueuUCgUCp9QFohCoVAofEIpEIVCoVD4hFIgCoVCofAJpUAU\nCoVC4RNKgSgUCoXCJ5QCUSgUCoVPKAWiUCgUCp9QCkShUCgUPqEUiEKhUCh8QikQhUKhUPiEUiAK\nhUKh8AmlQBQKhULhE0qBKBQKhcInlAJRKBQKhU8oBaJQKBQKn1AKRKFQKBQ+oRSIQqFQKHxCKRCF\nQqFQ+IRSIAqFQqHwCaVAFAqFQuETSoEoFAqFwieUAlEoFAqFTygFolAoFAqfCAu0AAAQHx+P6Oho\nhIaGIjw8HBs3bkR2djYGDRqEgwcPIj4+HgsWLEBMTEygRVUoFApFMUFhgbhcLrjdbmzduhUbN24E\nAEydOhWpqanYs2cPunXrhqlTpwZYSoVCoVDQBIUCAQBN00zflyxZguHDhwMAhg8fjq+++ioQYikU\nCoVCQFAoEJfLhe7du6Njx4748MMPAQBZWVmIjY0FAMTGxiIrKyuQIioUCoWCISh8IGvXrkWdOnVw\n8uRJpKamokWLFqbfXS4XXC6X13n16tXD0aNHy0pMhUKhqBA0adIE+/btK3E+QWGB1KlTBwBQq1Yt\n9O3bFxs3bkRsbCyOHz8OADh27Bhq167tdd7Ro0ehaVrQ/w0fPjzgMlQEGZWcSs5g/ysvcu7fv98v\nbXfAFcjFixeRm5sLALhw4QJWrlyJNm3aID09HXPmzAEAzJkzB3fffXcgxVQoFAoFQ8CHsLKystC3\nb18AQEFBAe6//36kpaWhY8eOGDhwID766CPPNN7ySnx8fKBFsKU8yAgoOf2NktO/lBc5/UXAFUij\nRo2wbds2r+PVq1fH6tWrAyCR/0lJSQm0CLaUBxkBJae/UXL6l/Iip78I+BCWQqFQKMonSoEoFAqF\nwidcmqZp9smCE5fLhXIsvkKhUAQEf7WdygJRBD3R0dU9a4Fk/qKjqwdaZIXiqkApkDLA7XYHWgRb\nglnG3NwzALTivwzqM/9PTx9Ygrk8aZSc/qW8yOkvlAJRKEqBO+7ooywmRYVH+UAUQY8exsbJcw58\nvXAmc+DlVVxdKB+IQqFQKAKKUiBlQHkYFy0PMuq4Ay1AhaK8PHclZ3CiFIhCoVAofEL5QEpIdHR1\nR7N+oqKuxblz2aUoUcVD+UAUCv9SoXwghYWFSE5ORp8+fQAA2dnZSE1NRUJCAtLS0pCTkxNgCcWY\np5ja/wXDFFOFQqHwB0GhQN58800kJiZ6No2qePuhuwMtgC3lZ+zWHWgBAoqTRZUy04PLy3NXcgYn\nAVcgf/75J5YtW4aHHnrIY1Kp/dAVCj5OLF5l7SpKm4D7QO655x48++yzOHfuHF577TV8/fXXuPba\na3HmjF75NU1D9erVPd9pgsEHUh7H58sb5bGMS8sH4izfcAAFUimVb+7qokL4QJYuXYratWsjOTlZ\neDOi/dAVCoUdBVDWiqI0CeiGUuvWrcOSJUuwbNkyXL58GefOncPQoUM9+6HHxcUJ90MnPPDAA55d\nwGJiYtCuXTvPpi5kPLK0vxuQ7ynMd3LMnL6s5JP5Tt9LMMhDfzdwA9gGYCz1HeCXd+DlF8tXMnmp\nM2zyJ8esrm+UZ6DLq7zWT/r7tm3bMHZs8JWn2+3G7NmzAfh318SAD2ERvv/+e88Q1t///nfUqFED\nEyZMwNSpU5GTk8N1pJefISw3jJc28DLzcLvdVMMXXJjL2A1zA8k9I+BlHBxDWE7qZuDLzIpgrp80\n5UVOf7WdQaVApk+fjiVLliA7OxsDBw7EoUOHPPuhx8TEeJ1TfhSI6YyAy1zeKM0ydrKOx4mfoPwo\nEOcyKMo/FU6B+IJSIFcHpVnGwdLQKwWiKEsqhBP96sEdaAFs8R5fD1bcgRagguEOtABSlJf6WV7k\n9BdKgSgUCoXCJ9QQlh9kCIYhrNIayw8GKv4Qlvx6DR01hKUoGcoHAr0Q2rVLkUrbvXtXvPrqi6Ui\nQzAokIocvK/iK5DgSFue6oSiZCgFAvKSrpFIuRMtW87D7t3rSkmGwE/jLWlDGMzTD0tzGm95tBTU\nNN7gJRBy+hIRPDf3jF+ed0AXEvqH2yTSRACYV9qCKCo8ZGW3DCp6gqJsMOKjyab3X92sABaIjPjr\n0LLlkwG0QExnBKUFEswE0xBWRU5bWnWiIvvnggFf3g8AygJRKBTBj5Mesj97x4rSR03jLRPcgRbA\nlvIzf90daAEqGO5ACyBFeamf5UVOf6EUiEKhUCh8QvlAykwGzxlB4AMpX/tEKB9I2aQtraagIvvn\nnBAccdcA5QNRlBD52URqTFqh8A8V0RcU0CGsy5cvo3PnzmjXrh0SExPxzDPPAACys7ORmpqKhIQE\npKWlIScnJ5Bi+gF3oAWQwB1oASRxB1qACoY70AJIUV58C+VFTn/hFwXy008/eR1bu3at7XmRkZHI\nyMjAtm3bsH37dmRkZOCnn37C1KlTkZqaij179qBbt27cvUAUCoVCEWA0P9CuXTupY1ZcuHBB69ix\no7Zz506tefPm2vHjxzVN07Rjx45pzZs3554DQAM0ib+1WsuWNzq/MQnkZSB/finyEsrhJG1YcXr7\nv6ioa4Pg3pyVcemVW/lLW1oEixyBprTKwZf3w1/lXCIfyPr167Fu3TqcPHkSr7/+OvR7AXJzc1FU\nVCSVR1FREdq3b4/9+/dj9OjRaNWqFbKyshAbGwsAiI2NRVZWVknEVJQI5S9RKBR8SqRA8vLykJub\ni8LCQuTm5nqOR0dHY9GiRVJ5hISEYNu2bTh79ix69OiBjIwM0+8ul6t4loGIBwDEF3+OAdAO3ntA\nV8Iff2yxyceAzIDw3x7V5JgbQIi0HJUrV8OyZV+X2h7c5t9ZWe3S876bYwH5a09n8/X9vye6OX9e\nfilMGtHvvn6Xvb7T9OSYVX6kPMMC+H6w3+GVX0XYE924R/Z++d/9W75uALPhb/wyjTczM9MvG7W/\n9NJLqFy5MmbOnAm32424uDgcO3YMt912G37//Xev9E6m8QI3SaYF/D8N1A06mGLg5DDy9U7rBj9I\nYeCnYAZPMMWKmNYNEkyxtJ6zP6bxVoRgisER+VnPG4Bf3lW/KJA//vgDr732GjIzM1FQoK8vcLlc\nWLPGOlLuqVOnEBYWhpiYGFy6dAk9evTAxIkT8e2336JGjRqYMGECpk6dipycHK4jvfwoEHPegZej\ntNKWzvoStQ4k2NI6jUoMR3LIPrvyFmNLKRABbdu2xejRo9G+fXuEhobqGbtc6NChg+V5O3bswPDh\nw1FUVISioiIMHToUTz31FLKzszFw4EAcOnQI8fHxWLBgAWJiYryFVwrERzmCI21plnFFLrfyldZ5\n3qX17ErDOnZCRVQgfnHFt2/f3h/ZOAbSsw/WOpypID/zSC7fDOpzIOWwkiHDQVon+fp7lolITn/k\n7d/7Kx9pM0opX//Wi4yMjBI+u7KZTciT09e6Jotvz0M+fyv8sg6kT58+ePfdd3Hs2DFkZ2d7/sov\nZOaRzN/VIIdCUd6Rf5ecbM50teOXIaz4+HjuDI4DBw6UNGtLSnMIq3TSlmbe5S+tbNVTQ1jlOa3z\nvIPh2fmhWfTONSh2vwSCLhZWZmamP7JRKBQKBYDysvulXxTInDlzuBbIsGHD/JF9BcAN+6mngcaN\n4JcRKD9ylhfcKA/lWRGm8VZE/KJAfvnlF48CuXTpEtasWYP27dsrBaJQKBQVmFLZDyQnJweDBg3C\nt99+6++sTSgfSHlOW7pjvMEwjq7S+pZ3MDw7WRmcrEXRCZbnEUQ+EJYqVaqUugNdUd4pH2O8CoUV\nTvb4qIj12C8KpE+fPp7PRUVF2L17NwYOHOiPrCsIbgT/OLMbwS8jUH7kLC+4EVzlKR+TKzhlcCO4\nyrN08YsCGT9+PADdpAwLC0PDhg3RoEEDf2StUCiuKkSWqRveDXNpKRplHcviNx/I8ePHPc7066+/\nHrVr1/ZHtpYoH4hKK0ofDOPoKm0wyaHSmtP7xwfil5XoCxYsQOfOnbFw4UIsWLAA119/PRYuXOiP\nrBUKhUIRrPgjHkqbNm20rKwsz/cTJ05obdq0sT3v0KFDWkpKipaYmKi1atVKe/PNNzVN07TTp09r\n3bt315o1a6alpqZqZ86c4Z4PyMaAcRoLy99pM0oxb3+lzSilfP2dViQn/VeWMcTKe9qMUsrX3zLz\nnnswljFPzmCSl6SHP5p+/8TC0jQNtWrV8nyvUaMG9PbdmvDwcMyYMQO7du3Chg0b8O677+K3335T\ne6IrSoiKIaZQlAV+caL37NkTPXr0wODBg6FpGubPn49evXrZnhcXF4e4uDgAQLVq1dCyZUscOXIE\nS5Yswffffw8AGD58OFJSUsq5EkkJtAASpARaAElSAi1ABSMl0AJIkhJoASRJCbQAZUqJnOh79+5F\nVlYWbr75ZixevBhr164FAMTExGDw4MFo2rSpdF6ZmZm49dZbsXPnTjRs2BBnzuiLczRNQ/Xq1T3f\nTcIrJ7pKG7RyqLTBJYdKa04PqVEiO0pkgYwdOxZTpkwBAPTv3x/9+/cHAGzfvh1PPPEEvv76a6l8\nzp8/j/79++PNN99EVFSU6Td/7Ylu/s7+zn6Hze9O05NjTvMnx+yu7/Q77/r0bzLped/JsZLKZ3V9\n+T3RA7PHuC/fZa/vND05ZpWfTHn6en1/pqd/S2HS2OXn9Dvv+rLprcqTHCupfFbXF6V3ozT2RC+R\nJ6VDhw7C31q1aiWVR15enpaWlqbNmDHDc6x58+basWPHNE3TtKNHj2rNmzfnngtp55FyotunFTn/\ngk1ekZzBLHMwp80opXz9LTPvuQdjGfPkDCZ5SXo4aOnFlMiJnpOTI/zt8uXLtudrmoYHH3wQiYmJ\nGDt2rOd4eno65syZA0CP9Hv33XeXRMwgICXQAkiQEmgBJEkJtAAVjJRACyBJSqAFkCQl0AKUKSVS\nIB07dsQHH3zgdfzDDz+03Q8dANauXYtPP/0UGRkZSE5ORnJyMlasWIGnn34aq1atQkJCAtasWYOn\nn366JGIqFAqFohQokRP9+PHj6Nu3LypVquRRGJs3b8aVK1fw5Zdfok6dOn4TlEf5caK7YfRMgsGR\nxkvrBr/3FGzyumHfyws2mYM5rRt6eQa7E90NfiiTYCtjN8T1MxjkJen1EaCSUiInelxcHNatW4eM\njAzs3LkTLpcLvXv3xu23315iwRQKhUIR3JTKfiBlRfmxQMoib5U2uORQaYNLDpXWnN4/FohfVqIr\nFAqF4upDKZAywR1oASRwB1oASdyBFqCC4Q60AJK4Ay2AJO5AC1CmKAWiUCgUCp9QPhB+zqWUtjTz\nVmmDSw6VNrjkUGnN6ZUPRKFQKBQBRCmQMsEdaAEkcAdaAEncgRagguEOtACSuAMtgCTuQAtQpigF\nolAoFAqfUD4Qfs6llLY081Zpg0sOlTa45FBpzemVD0ShUCgUASTgCmTkyJGIjY1FmzZtPMeys7OR\nmpqKhIQEpKWlWUb9LR+4Ay2ABO5ACyCJO9ACVDDcgRZAEnegBZDEHWgBypSAK5ARI0ZgxYoVpmNq\nT3SFQqEIfoLCB5KZmYk+ffpgx44dAIAWLVrg+++/R2xsLI4fP46UlBT8/vvvXucpH4hKG7xyqLTB\nJYdKa05fgX0gWVlZiI2NBQDExsYiKysrwBIpFAqFgiUoFQiN/Z7o5QF3oAWQwB1oASRxB1qACoY7\n0AJI4g60AJK4Ay1AmVKi/UBKCzJ0FRcXh2PHjqF27doWqR8AEF/8OQb4//buP6aN8o8D+LtAN5wB\n6ohWWF1a+VVooRTJKiYoy2Cs6NjEbMFphszERGWa6Bh/mPkbHXGJzixx07gwk2XZL+ZwbITodtM4\nkNAxhzCdEBp+RHEDUQODtez5/kHa70oLXA/oPbDP67+7fu65N58xnl6vd4dUeD9UftGE5YmvT1zG\nNK/7Wz/xdbHju9ZNt39/l8Xu399617qZ5ptq/5f8rPd3/KnqXeumG8/fZbH797fetW6q8cT0U+r+\n57retW668fxdFrt/X/VT9dO1bqb5ptr/ZPUCgErMNi7PgWzfvh2RkZEoKyvDzp07MTg46PNEOp0D\noVp+c1AtXzmo1rN+ds6ByD6BPP300zh//jyuX78OtVqNd999F+vWrcPGjRvR1dUFrVaLI0eOQKVS\neW1LEwjV8puDavnKQbWe9QtkApmJ+TOBCKBnos9WrQB6Jvpc/G7yPoEIoGeiz0atq34BfwuLEEII\n/+gIxPfIc1Q7l2NTLV85qJavHFTrWU9HIIQQQmREE0hACHIHEEGQO4BIgtwBFhhB7gAiCXIH062s\n3QAAC5pJREFUEEmQO0BA0QRCCCFEEjoH4nvkOaqdy7Gplq8cVMtXDqr1rKdzIIQQQmREE0hACHIH\nEEGQO4BIgtwBFhhB7gAiCXIHEEmQO0BA0QRCCCFEEjoH4nvkOaqdy7Gplq8cVMtXDqr1rKdzIIQQ\nQmTE9QRSW1sLvV6PuLg4VFRUyB1nBgS5A4ggyB1AJEHuAAuMIHcAkQS5A4gkyB0goLidQMbGxlBS\nUoLa2lq0tbXh0KFDuHLlityxJLokdwAR5kNGYP7knC/mSz8pJ4+4nUAaGxsRGxsLrVYLpVKJwsJC\nnDx5Uu5YEg3KHUCE+ZARmD8554v50k/KySNuJ5De3l488MAD7mWNRoPe3l4ZExFCCLkdl4+0BSD6\nOejh4WunrRkbG8DQ0EwTzYRdzp2LZJc7gEh2uQMsMHa5A4hklzuASHa5AwQUtxPIsmXL0N3d7V7u\n7u6GRqPxqImJiUFHxyk/RhU3Kc1N7QFOckxVe8DHukBnEFM7Wc5A51gota5+zlWG2Rrb1787jz2e\n6veTh7zjfztnA7fXgTidTiQkJOC7775DdHQ0VqxYgUOHDiExMVHuaIQQQsDxEUhISAj27NmD3Nxc\njI2N4fnnn6fJgxBCOMLtEQghhBC+cfstLJcPP/wQBoMBycnJ2LRpE0ZHR71qXnnlFcTFxcFkMqG5\nuVmGlNPnFAQBERERMJvNMJvNeP/992XJuXv3biQnJ8NoNGL37t0+a3jo53Q55ernli1boFarkZyc\n7F43MDCAnJwcxMfHY/Xq1Rgc9P1VzkBeGDuTnFqtFikpKTCbzVixYkXAcx49ehQGgwHBwcG4ePHi\npNsGqp8zySh3L0tLS5GYmAiTyYSCggL8888/PreV3EvGsc7OTqbT6djIyAhjjLGNGzeyyspKj5qa\nmhpmtVoZY4w1NDQwi8XCZc5z586xtWvXBjzb7VpaWpjRaGQ3btxgTqeTZWdns/b2do8aHvopJqdc\n/fz+++/ZxYsXmdFodK8rLS1lFRUVjDHGdu7cycrKyry2czqdLCYmhnV2drKbN28yk8nE2trauMvJ\nGGNarZb19/fPWbbpcl65coX99ttvLCsri9lsNp/bBbKfUjMyJn8v6+rq2NjYGGOMsbKysln/3eT6\nCCQ8PBxKpRLDw8NwOp0YHh7GsmXLPGqqq6tRVFQEALBYLBgcHERfXx93OYHZuXnZTPz666+wWCwI\nDQ1FcHAwHnvsMVRVVXnU8NBPMTkBefqZmZmJe+65x2Pd7T0rKirC119/7bVdoC+MlZrTJVC99ZVT\nr9cjPj5+yu0C2U+pGV3k7GVOTg6Cgsb/zFssFvT09HhtN5Necj2BLF26FK+//jqWL1+O6OhoqFQq\nZGdne9T4uuDQV5PkzqlQKHDhwgWYTCbk5eWhra0toBkBwGg04ocffsDAwACGh4dRU1Pj1Sse+ikm\nJw/9dOnr64NarQYAqNVqnxMuDxfGiskJjPc2Ozsb6enp+OKLLwIZUTQe+ikGT73cv38/8vLyvNbP\npJfcfgsLADo6OvDJJ5/AbrcjIiICGzZswMGDB/HMM8941E2c4cVehDhbxORMS0tDd3c3lixZgjNn\nzmD9+vW4evVqQHPq9XqUlZVh9erVuPvuu2E2m93vTm4ndz/F5OShn74oFAqf/Qp0D6czWU4A+PHH\nHxEVFYVr164hJycHer0emZmZAU44Nd76ORleelleXo5FixZh06ZNXq/NpJdcH4E0NTXhkUceQWRk\nJEJCQlBQUIALFy541Ey84LCnp8fnx0dy5wwLC8OSJUsAAFarFQ6HAwMDAwHNCYyfaGtqasL58+eh\nUqmQkJDg8ToP/QSmz8lLP4Hxd/N//vknAOCPP/7Afffd51Uj5sLYuSYmJwBERUUBAO699148+eST\naGxsDFhGsXjopxg89LKyshKnT5/GwYMHfb4+k15yPYHo9Xo0NDTgxo0bYIzh22+/RVJSkkdNfn4+\nvvrqKwBAQ0MDVCqV+zCdp5x9fX3ud/aNjY1gjGHp0qUBzQkAf/31FwCgq6sLJ06c8HpHwkM/xeTk\npZ/AeM8OHBi/+vjAgQNYv369V016ejp+//132O123Lx5E4cPH0Z+fj53OYeHh/Hff/8BAIaGhlBX\nV+fxrZ5Am+z8AQ/9dJksIw+9rK2txUcffYSTJ08iNDTUZ82Mein1jH+gVFRUsKSkJGY0GtnmzZvZ\n6Ogo27t3L9u7d6+75uWXX2YxMTEsJSVlym9EyJlzz549zGAwMJPJxDIyMlh9fb0sOTMzM1lSUhIz\nmUzs7NmzjDHGZT+nyylXPwsLC1lUVBRTKpVMo9Gw/fv3s/7+frZq1SoWFxfHcnJy2N9//80YY6y3\nt5fl5eW5tz19+jSLj49nMTEx7IMPPuAyZ0dHBzOZTMxkMjGDwRDwnF9++SU7ceIE02g0LDQ0lKnV\narZmzRqvnIwFrp9SM/LQy9jYWLZ8+XKWmprKUlNT2YsvvuiVkzHpvaQLCQkhhEjC9UdYhBBC+EUT\nCCGEEEloAiGEECIJTSCEEEIkoQmEEEKIJDSBEEIIkYQmEEIIIZLQBELmvf7+fvdzQaKioqDRaGA2\nmxEWFoaSkpJZ399zzz2HBx98EJ9//rlf2z3++OP4999/Je3z559/xpkzZyRtOzIygtTUVCxevFi2\n272QhYnrmykSIkZkZKT7wVfvvPMOwsLC8Nprr83Z/hQKBXbt2oWCggK/tqupqZG8z+bmZthsNlit\nVr+3DQ0NxaVLl6DT6STvnxBf6AiELDiumysIgoC1a9cCAN5++20UFRXh0UcfhVarRVVVFbZt24aU\nlBRYrVY4nU4AgM1mQ1ZWFtLT07FmzRr3zQcn2wcwfkTy0ksvISMjAzExMRAEAUVFRUhKSkJxcbG7\nTqvVYmBgAHa7HYmJiXjhhRdgNBqRm5uLkZERAEBWVhZsNhsA4Pr169DpdHA4HHjzzTdx+PBhmM1m\nHD16FENDQ9iyZQssFgvS0tJQXV0NAGhtbYXFYoHZbIbJZEJ7e/ssd5eQ/6MJhNwxOjs7ce7cOVRX\nV+PZZ59FTk4OLl++jLvuugs1NTVwOBzYunUrjh8/jqamJhQXF+ONN96YdlyFQoHBwUHU19fj448/\nRn5+PrZv347W1la0tLTg8uXL7jqX9vZ2lJSU4JdffoFKpcLx48fdNRNvr61UKvHee++hsLAQzc3N\n2LBhA8rLy7Fq1Sr89NNPOHv2LEpLSzE8PIx9+/bh1VdfdR+x8HiHWrJw0EdY5I6gUChgtVoRHBwM\no9GIW7duITc3FwCQnJwMu92Oq1evorW11f0wsLGxMURHR4sa33WkYzQacf/998NgMAAADAYD7HY7\nUlJSPOp1Op173UMPPQS73T7l+Iwxj6Oeuro6fPPNN9i1axcAYHR0FF1dXcjIyEB5eTl6enpQUFCA\n2NhYUfkJkYImEHLHWLRoEQAgKCgISqXSvT4oKAhOpxOMMRgMBq9nufg79uLFi73Gnuj2muDgYPdH\nWCEhIbh16xYAuNdNpqqqCnFxcR7r9Ho9Hn74YZw6dQp5eXnYt28fVq5c6ffPQ4gY9BEWuSOIuel0\nQkICrl27hoaGBgCAw+EI2KNyXfm0Wi2ampoAAMeOHXO/Hh4e7n62BADk5ubi008/dS+7vkTQ2dkJ\nnU6HrVu3Yt26dWhpaQlEfHKHogmELDiucwi3n0+YeG5h4nkGhUIBpVKJY8eOoaysDKmpqTCbzaiv\nr59yH76WxTwidLLtt23bhs8++wxpaWno7+93r1+5ciXa2trcJ9F37NgBh8OBlJQUGI1GvPXWWwCA\nI0eOwGg0wmw2o7W1FZs3b542CyFS0fNACPFTcXExnnjiCTz11FNyR/GLTqeDzWaT7cmNZOGhIxBC\n/BQREYEdO3b4fSGhXFwXEjqdTgQF0X95MnvoCIQQQogk9HaEEEKIJDSBEEIIkYQmEEIIIZLQBEII\nIUQSmkAIIYRI8j9ZsDp0ltq+2QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10ac45890>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tship = w.log['Shipped'] - w.log['Reviewed']\n",
    "subplot(3,1,1)\n",
    "plot(tship)\n",
    "xlabel('Order Number')\n",
    "ylabel('Time [minutes]')\n",
    "title('Time to Ship')\n",
    "\n",
    "subplot(2,1,2)\n",
    "tship.hist(bins=30)\n",
    "xlabel('Time [minutes]')\n",
    "ylabel('Count')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>1</th>\n",
       "      <th>Ordered</th>\n",
       "      <th>Pick Assigned</th>\n",
       "      <th>Picked</th>\n",
       "      <th>Review Assigned</th>\n",
       "      <th>Reviewed</th>\n",
       "      <th>Shipped</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0 </th>\n",
       "      <td>   3.366705</td>\n",
       "      <td>   3.366705</td>\n",
       "      <td>  37.402323</td>\n",
       "      <td>  37.402323</td>\n",
       "      <td>  39.949771</td>\n",
       "      <td>  48.042636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1 </th>\n",
       "      <td>  13.430272</td>\n",
       "      <td>  13.430272</td>\n",
       "      <td>  21.922379</td>\n",
       "      <td>  21.922379</td>\n",
       "      <td>  22.382470</td>\n",
       "      <td>  30.712128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2 </th>\n",
       "      <td>  19.418406</td>\n",
       "      <td>  21.922379</td>\n",
       "      <td>  49.876027</td>\n",
       "      <td>  49.876027</td>\n",
       "      <td>  51.697383</td>\n",
       "      <td>  61.445490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3 </th>\n",
       "      <td>  21.600034</td>\n",
       "      <td>  37.402323</td>\n",
       "      <td>  55.225490</td>\n",
       "      <td>  55.225490</td>\n",
       "      <td>  56.326083</td>\n",
       "      <td>  67.619233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4 </th>\n",
       "      <td>  44.690380</td>\n",
       "      <td>  49.876027</td>\n",
       "      <td>  64.700524</td>\n",
       "      <td>  64.700524</td>\n",
       "      <td>  65.987656</td>\n",
       "      <td>  76.276382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5 </th>\n",
       "      <td>  54.288239</td>\n",
       "      <td>  55.225490</td>\n",
       "      <td>  81.024971</td>\n",
       "      <td>  81.024971</td>\n",
       "      <td>  84.335838</td>\n",
       "      <td>  94.602018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6 </th>\n",
       "      <td> 115.896088</td>\n",
       "      <td> 115.896088</td>\n",
       "      <td> 121.008058</td>\n",
       "      <td> 121.008058</td>\n",
       "      <td> 122.036705</td>\n",
       "      <td> 130.296162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7 </th>\n",
       "      <td> 138.233840</td>\n",
       "      <td> 138.233840</td>\n",
       "      <td> 147.719116</td>\n",
       "      <td> 147.719116</td>\n",
       "      <td> 150.813193</td>\n",
       "      <td> 161.399557</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8 </th>\n",
       "      <td> 141.529573</td>\n",
       "      <td> 141.529573</td>\n",
       "      <td> 158.381395</td>\n",
       "      <td> 159.397793</td>\n",
       "      <td> 160.363795</td>\n",
       "      <td> 172.213511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9 </th>\n",
       "      <td> 153.438150</td>\n",
       "      <td> 153.438150</td>\n",
       "      <td> 157.620364</td>\n",
       "      <td> 157.620364</td>\n",
       "      <td> 159.397793</td>\n",
       "      <td> 169.442468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td> 159.131296</td>\n",
       "      <td> 159.131296</td>\n",
       "      <td> 175.103136</td>\n",
       "      <td> 175.103136</td>\n",
       "      <td> 176.382204</td>\n",
       "      <td> 185.881145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td> 163.297610</td>\n",
       "      <td> 163.297610</td>\n",
       "      <td> 184.078637</td>\n",
       "      <td> 184.078637</td>\n",
       "      <td> 186.888640</td>\n",
       "      <td> 195.598683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td> 178.897147</td>\n",
       "      <td> 178.897147</td>\n",
       "      <td> 195.458748</td>\n",
       "      <td> 197.502702</td>\n",
       "      <td> 197.979072</td>\n",
       "      <td> 209.569898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td> 185.773526</td>\n",
       "      <td> 185.773526</td>\n",
       "      <td> 194.232028</td>\n",
       "      <td> 194.232028</td>\n",
       "      <td> 197.502702</td>\n",
       "      <td> 205.966477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td> 190.770863</td>\n",
       "      <td> 194.232028</td>\n",
       "      <td> 198.518328</td>\n",
       "      <td> 198.518328</td>\n",
       "      <td> 200.241701</td>\n",
       "      <td> 210.248278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td> 191.436358</td>\n",
       "      <td> 195.458748</td>\n",
       "      <td> 207.199782</td>\n",
       "      <td> 207.199782</td>\n",
       "      <td> 209.417259</td>\n",
       "      <td> 218.042570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td> 192.996673</td>\n",
       "      <td> 198.518328</td>\n",
       "      <td> 225.358624</td>\n",
       "      <td> 225.358624</td>\n",
       "      <td> 228.112898</td>\n",
       "      <td> 239.672279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td> 235.721763</td>\n",
       "      <td> 235.721763</td>\n",
       "      <td> 259.271193</td>\n",
       "      <td> 261.177311</td>\n",
       "      <td> 262.964280</td>\n",
       "      <td> 272.140727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td> 236.982136</td>\n",
       "      <td> 236.982136</td>\n",
       "      <td> 248.707889</td>\n",
       "      <td> 248.707889</td>\n",
       "      <td> 249.005599</td>\n",
       "      <td> 257.179921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td> 249.739558</td>\n",
       "      <td> 249.739558</td>\n",
       "      <td> 257.191378</td>\n",
       "      <td> 257.191378</td>\n",
       "      <td> 261.177311</td>\n",
       "      <td> 270.570713</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td> 251.211860</td>\n",
       "      <td> 257.191378</td>\n",
       "      <td> 292.433111</td>\n",
       "      <td> 292.433111</td>\n",
       "      <td> 294.317196</td>\n",
       "      <td> 306.109379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td> 269.896839</td>\n",
       "      <td> 269.896839</td>\n",
       "      <td> 290.482557</td>\n",
       "      <td> 290.482557</td>\n",
       "      <td> 291.492054</td>\n",
       "      <td> 301.762160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td> 277.618827</td>\n",
       "      <td> 290.482557</td>\n",
       "      <td> 326.783904</td>\n",
       "      <td> 326.783904</td>\n",
       "      <td> 330.541525</td>\n",
       "      <td> 340.451760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td> 316.297180</td>\n",
       "      <td> 316.297180</td>\n",
       "      <td> 345.825218</td>\n",
       "      <td> 345.825218</td>\n",
       "      <td> 348.454351</td>\n",
       "      <td> 356.890010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td> 327.438778</td>\n",
       "      <td> 327.438778</td>\n",
       "      <td> 348.613301</td>\n",
       "      <td> 348.613301</td>\n",
       "      <td> 351.616536</td>\n",
       "      <td> 362.402863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td> 329.058777</td>\n",
       "      <td> 345.825218</td>\n",
       "      <td> 360.018647</td>\n",
       "      <td> 360.293374</td>\n",
       "      <td> 361.870379</td>\n",
       "      <td> 370.748167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td> 331.270089</td>\n",
       "      <td> 348.613301</td>\n",
       "      <td> 358.402893</td>\n",
       "      <td> 358.402893</td>\n",
       "      <td> 360.293374</td>\n",
       "      <td> 370.413160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td> 342.801178</td>\n",
       "      <td> 358.402893</td>\n",
       "      <td> 360.985239</td>\n",
       "      <td> 361.870379</td>\n",
       "      <td> 365.254626</td>\n",
       "      <td> 375.016625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td> 344.822530</td>\n",
       "      <td> 360.018647</td>\n",
       "      <td> 366.005058</td>\n",
       "      <td> 366.005058</td>\n",
       "      <td> 366.567726</td>\n",
       "      <td> 375.151551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td> 356.046606</td>\n",
       "      <td> 360.985239</td>\n",
       "      <td> 385.387547</td>\n",
       "      <td> 385.387547</td>\n",
       "      <td> 387.873472</td>\n",
       "      <td> 396.610833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td> 364.586061</td>\n",
       "      <td> 366.005058</td>\n",
       "      <td> 390.795758</td>\n",
       "      <td> 390.795758</td>\n",
       "      <td> 392.832533</td>\n",
       "      <td> 404.251737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td> 365.424787</td>\n",
       "      <td> 385.387547</td>\n",
       "      <td> 420.092838</td>\n",
       "      <td> 420.092838</td>\n",
       "      <td> 424.591573</td>\n",
       "      <td> 433.471879</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td> 391.448971</td>\n",
       "      <td> 391.448971</td>\n",
       "      <td> 402.942336</td>\n",
       "      <td> 402.942336</td>\n",
       "      <td> 403.217641</td>\n",
       "      <td> 413.900558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td> 405.971702</td>\n",
       "      <td> 405.971702</td>\n",
       "      <td> 414.498846</td>\n",
       "      <td> 414.498846</td>\n",
       "      <td> 417.528996</td>\n",
       "      <td> 427.306887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td> 420.121007</td>\n",
       "      <td> 420.121007</td>\n",
       "      <td> 426.304452</td>\n",
       "      <td> 426.304452</td>\n",
       "      <td> 427.300927</td>\n",
       "      <td> 436.224023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td> 436.134513</td>\n",
       "      <td> 436.134513</td>\n",
       "      <td> 459.086424</td>\n",
       "      <td> 459.086424</td>\n",
       "      <td> 460.308443</td>\n",
       "      <td> 471.132942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td> 436.209495</td>\n",
       "      <td> 436.209495</td>\n",
       "      <td> 457.539077</td>\n",
       "      <td> 457.539077</td>\n",
       "      <td> 458.243014</td>\n",
       "      <td> 467.955627</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td> 438.721645</td>\n",
       "      <td> 457.539077</td>\n",
       "      <td> 471.973973</td>\n",
       "      <td> 473.986796</td>\n",
       "      <td> 475.914645</td>\n",
       "      <td> 485.816522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td> 441.427207</td>\n",
       "      <td> 459.086424</td>\n",
       "      <td> 471.666111</td>\n",
       "      <td> 471.666111</td>\n",
       "      <td> 473.986796</td>\n",
       "      <td> 483.931980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td> 471.557560</td>\n",
       "      <td> 471.666111</td>\n",
       "      <td> 495.620128</td>\n",
       "      <td> 495.620128</td>\n",
       "      <td> 496.530393</td>\n",
       "      <td> 505.060393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td> 480.587433</td>\n",
       "      <td> 480.587433</td>\n",
       "      <td> 502.549153</td>\n",
       "      <td> 502.549153</td>\n",
       "      <td> 502.995927</td>\n",
       "      <td> 513.842043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td> 500.355643</td>\n",
       "      <td> 500.355643</td>\n",
       "      <td> 515.954981</td>\n",
       "      <td> 515.954981</td>\n",
       "      <td> 518.426460</td>\n",
       "      <td> 528.518062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td> 511.943491</td>\n",
       "      <td> 511.943491</td>\n",
       "      <td> 535.724551</td>\n",
       "      <td> 535.724551</td>\n",
       "      <td> 538.380528</td>\n",
       "      <td> 548.860482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td> 520.640852</td>\n",
       "      <td> 520.640852</td>\n",
       "      <td> 550.562285</td>\n",
       "      <td> 550.562285</td>\n",
       "      <td> 554.395111</td>\n",
       "      <td> 562.597845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td> 522.541796</td>\n",
       "      <td> 535.724551</td>\n",
       "      <td> 554.860670</td>\n",
       "      <td> 554.860670</td>\n",
       "      <td> 557.044421</td>\n",
       "      <td> 568.202196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td> 527.026733</td>\n",
       "      <td> 550.562285</td>\n",
       "      <td> 568.436347</td>\n",
       "      <td> 568.436347</td>\n",
       "      <td> 570.647454</td>\n",
       "      <td> 580.206084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td> 527.895047</td>\n",
       "      <td> 554.860670</td>\n",
       "      <td> 564.437151</td>\n",
       "      <td> 564.437151</td>\n",
       "      <td> 565.958044</td>\n",
       "      <td> 575.275032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td> 538.061558</td>\n",
       "      <td> 564.437151</td>\n",
       "      <td> 573.728371</td>\n",
       "      <td> 573.728371</td>\n",
       "      <td> 575.261145</td>\n",
       "      <td> 584.398957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td> 542.604827</td>\n",
       "      <td> 568.436347</td>\n",
       "      <td> 586.843015</td>\n",
       "      <td> 586.843015</td>\n",
       "      <td> 588.093484</td>\n",
       "      <td> 597.997861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td> 549.846024</td>\n",
       "      <td> 573.728371</td>\n",
       "      <td> 587.726074</td>\n",
       "      <td> 588.093484</td>\n",
       "      <td> 588.638568</td>\n",
       "      <td> 600.166950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td> 593.573719</td>\n",
       "      <td> 593.573719</td>\n",
       "      <td> 622.320771</td>\n",
       "      <td> 622.320771</td>\n",
       "      <td> 623.469427</td>\n",
       "      <td> 631.540442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td> 600.933472</td>\n",
       "      <td> 600.933472</td>\n",
       "      <td> 614.026085</td>\n",
       "      <td> 614.026085</td>\n",
       "      <td> 616.538472</td>\n",
       "      <td> 625.870210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td> 611.151563</td>\n",
       "      <td> 614.026085</td>\n",
       "      <td> 638.060880</td>\n",
       "      <td> 638.060880</td>\n",
       "      <td> 639.591900</td>\n",
       "      <td> 650.086266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td> 614.890535</td>\n",
       "      <td> 622.320771</td>\n",
       "      <td> 626.535703</td>\n",
       "      <td> 626.535703</td>\n",
       "      <td> 628.924357</td>\n",
       "      <td> 639.583351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td> 624.824109</td>\n",
       "      <td> 626.535703</td>\n",
       "      <td> 634.225679</td>\n",
       "      <td> 634.225679</td>\n",
       "      <td> 635.431060</td>\n",
       "      <td> 645.758394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td> 653.657424</td>\n",
       "      <td> 653.657424</td>\n",
       "      <td> 657.297616</td>\n",
       "      <td> 657.297616</td>\n",
       "      <td> 658.924891</td>\n",
       "      <td> 669.187379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td> 665.674698</td>\n",
       "      <td> 665.674698</td>\n",
       "      <td> 675.278395</td>\n",
       "      <td> 675.278395</td>\n",
       "      <td> 675.537426</td>\n",
       "      <td> 685.107765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td> 668.401265</td>\n",
       "      <td> 668.401265</td>\n",
       "      <td> 683.858594</td>\n",
       "      <td> 683.858594</td>\n",
       "      <td> 685.067501</td>\n",
       "      <td> 696.779362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td> 694.595630</td>\n",
       "      <td> 694.595630</td>\n",
       "      <td> 712.863166</td>\n",
       "      <td> 712.863166</td>\n",
       "      <td> 712.972219</td>\n",
       "      <td> 722.550661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td> 698.948035</td>\n",
       "      <td> 698.948035</td>\n",
       "      <td> 708.010551</td>\n",
       "      <td> 708.010551</td>\n",
       "      <td> 709.042020</td>\n",
       "      <td> 718.971709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>984 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "1      Ordered  Pick Assigned      Picked  Review Assigned    Reviewed  \\\n",
       "0     3.366705       3.366705   37.402323        37.402323   39.949771   \n",
       "1    13.430272      13.430272   21.922379        21.922379   22.382470   \n",
       "2    19.418406      21.922379   49.876027        49.876027   51.697383   \n",
       "3    21.600034      37.402323   55.225490        55.225490   56.326083   \n",
       "4    44.690380      49.876027   64.700524        64.700524   65.987656   \n",
       "5    54.288239      55.225490   81.024971        81.024971   84.335838   \n",
       "6   115.896088     115.896088  121.008058       121.008058  122.036705   \n",
       "7   138.233840     138.233840  147.719116       147.719116  150.813193   \n",
       "8   141.529573     141.529573  158.381395       159.397793  160.363795   \n",
       "9   153.438150     153.438150  157.620364       157.620364  159.397793   \n",
       "10  159.131296     159.131296  175.103136       175.103136  176.382204   \n",
       "11  163.297610     163.297610  184.078637       184.078637  186.888640   \n",
       "12  178.897147     178.897147  195.458748       197.502702  197.979072   \n",
       "13  185.773526     185.773526  194.232028       194.232028  197.502702   \n",
       "14  190.770863     194.232028  198.518328       198.518328  200.241701   \n",
       "15  191.436358     195.458748  207.199782       207.199782  209.417259   \n",
       "16  192.996673     198.518328  225.358624       225.358624  228.112898   \n",
       "17  235.721763     235.721763  259.271193       261.177311  262.964280   \n",
       "18  236.982136     236.982136  248.707889       248.707889  249.005599   \n",
       "19  249.739558     249.739558  257.191378       257.191378  261.177311   \n",
       "20  251.211860     257.191378  292.433111       292.433111  294.317196   \n",
       "21  269.896839     269.896839  290.482557       290.482557  291.492054   \n",
       "22  277.618827     290.482557  326.783904       326.783904  330.541525   \n",
       "23  316.297180     316.297180  345.825218       345.825218  348.454351   \n",
       "24  327.438778     327.438778  348.613301       348.613301  351.616536   \n",
       "25  329.058777     345.825218  360.018647       360.293374  361.870379   \n",
       "26  331.270089     348.613301  358.402893       358.402893  360.293374   \n",
       "27  342.801178     358.402893  360.985239       361.870379  365.254626   \n",
       "28  344.822530     360.018647  366.005058       366.005058  366.567726   \n",
       "29  356.046606     360.985239  385.387547       385.387547  387.873472   \n",
       "30  364.586061     366.005058  390.795758       390.795758  392.832533   \n",
       "31  365.424787     385.387547  420.092838       420.092838  424.591573   \n",
       "32  391.448971     391.448971  402.942336       402.942336  403.217641   \n",
       "33  405.971702     405.971702  414.498846       414.498846  417.528996   \n",
       "34  420.121007     420.121007  426.304452       426.304452  427.300927   \n",
       "35  436.134513     436.134513  459.086424       459.086424  460.308443   \n",
       "36  436.209495     436.209495  457.539077       457.539077  458.243014   \n",
       "37  438.721645     457.539077  471.973973       473.986796  475.914645   \n",
       "38  441.427207     459.086424  471.666111       471.666111  473.986796   \n",
       "39  471.557560     471.666111  495.620128       495.620128  496.530393   \n",
       "40  480.587433     480.587433  502.549153       502.549153  502.995927   \n",
       "41  500.355643     500.355643  515.954981       515.954981  518.426460   \n",
       "42  511.943491     511.943491  535.724551       535.724551  538.380528   \n",
       "43  520.640852     520.640852  550.562285       550.562285  554.395111   \n",
       "44  522.541796     535.724551  554.860670       554.860670  557.044421   \n",
       "45  527.026733     550.562285  568.436347       568.436347  570.647454   \n",
       "46  527.895047     554.860670  564.437151       564.437151  565.958044   \n",
       "47  538.061558     564.437151  573.728371       573.728371  575.261145   \n",
       "48  542.604827     568.436347  586.843015       586.843015  588.093484   \n",
       "49  549.846024     573.728371  587.726074       588.093484  588.638568   \n",
       "50  593.573719     593.573719  622.320771       622.320771  623.469427   \n",
       "51  600.933472     600.933472  614.026085       614.026085  616.538472   \n",
       "52  611.151563     614.026085  638.060880       638.060880  639.591900   \n",
       "53  614.890535     622.320771  626.535703       626.535703  628.924357   \n",
       "54  624.824109     626.535703  634.225679       634.225679  635.431060   \n",
       "55  653.657424     653.657424  657.297616       657.297616  658.924891   \n",
       "56  665.674698     665.674698  675.278395       675.278395  675.537426   \n",
       "57  668.401265     668.401265  683.858594       683.858594  685.067501   \n",
       "58  694.595630     694.595630  712.863166       712.863166  712.972219   \n",
       "59  698.948035     698.948035  708.010551       708.010551  709.042020   \n",
       "           ...            ...         ...              ...         ...   \n",
       "\n",
       "1      Shipped  \n",
       "0    48.042636  \n",
       "1    30.712128  \n",
       "2    61.445490  \n",
       "3    67.619233  \n",
       "4    76.276382  \n",
       "5    94.602018  \n",
       "6   130.296162  \n",
       "7   161.399557  \n",
       "8   172.213511  \n",
       "9   169.442468  \n",
       "10  185.881145  \n",
       "11  195.598683  \n",
       "12  209.569898  \n",
       "13  205.966477  \n",
       "14  210.248278  \n",
       "15  218.042570  \n",
       "16  239.672279  \n",
       "17  272.140727  \n",
       "18  257.179921  \n",
       "19  270.570713  \n",
       "20  306.109379  \n",
       "21  301.762160  \n",
       "22  340.451760  \n",
       "23  356.890010  \n",
       "24  362.402863  \n",
       "25  370.748167  \n",
       "26  370.413160  \n",
       "27  375.016625  \n",
       "28  375.151551  \n",
       "29  396.610833  \n",
       "30  404.251737  \n",
       "31  433.471879  \n",
       "32  413.900558  \n",
       "33  427.306887  \n",
       "34  436.224023  \n",
       "35  471.132942  \n",
       "36  467.955627  \n",
       "37  485.816522  \n",
       "38  483.931980  \n",
       "39  505.060393  \n",
       "40  513.842043  \n",
       "41  528.518062  \n",
       "42  548.860482  \n",
       "43  562.597845  \n",
       "44  568.202196  \n",
       "45  580.206084  \n",
       "46  575.275032  \n",
       "47  584.398957  \n",
       "48  597.997861  \n",
       "49  600.166950  \n",
       "50  631.540442  \n",
       "51  625.870210  \n",
       "52  650.086266  \n",
       "53  639.583351  \n",
       "54  645.758394  \n",
       "55  669.187379  \n",
       "56  685.107765  \n",
       "57  696.779362  \n",
       "58  722.550661  \n",
       "59  718.971709  \n",
       "           ...  \n",
       "\n",
       "[984 rows x 6 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(w.log)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}