Python Data Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "automatic-utility",
   "metadata": {},
   "source": [
    "### AdventureWorks Sales Data Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "impossible-douglas",
   "metadata": {},
   "outputs": [],
   "source": [
    "#install and import these libararies...\n",
    "import pyodbc \n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.cm as cm\n",
    "import datetime\n",
    "#magic function for inline charts in notebook\n",
    "%matplotlib inline\n",
    "#For chart style from matplotlib \n",
    "plt.style.use('fivethirtyeight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "referenced-broadcasting",
   "metadata": {},
   "outputs": [],
   "source": [
    "cnxn = pyodbc.connect(\"Driver={SQL Server Native Client 11.0};\"\n",
    "                      \"Server=serverName;\"\n",
    "                      \"Database=AdventureWorksDW2012;\"\n",
    "                      \"Trusted_Connection=yes;\")\n",
    "df = pd.read_sql_query(\"select * FROM [AdventureWorks2012].[Sales].[vw_salesoverview] order by OrderDate\", cnxn)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "neutral-clerk",
   "metadata": {},
   "source": [
    "### Sales KPI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "cultural-invite",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total Sales: 80,488 Order Count: 61 Order Quantity: 215\n"
     ]
    }
   ],
   "source": [
    "#Lets print some KPI's \n",
    "print(\n",
    "    \"Total Sales: \" + str('{:,.0f}'.format(round(df.Sales.sum()/1000)))\n",
    "    + \" Order Count: \" + str('{:,.0f}'.format(round(df.OrderCount.sum()/1000)))\n",
    "    + \" Order Quantity: \" + str('{:,.0f}'.format(round(df.OrderQuantity.sum()/1000)))\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "liked-stocks",
   "metadata": {},
   "source": [
    "### Overall Sales Trend"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "impressed-specification",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Month_Year'] = df['OrderDate'].apply(lambda x: x.strftime('%Y-%m'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "defensive-forward",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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JYzznZHneEsFwopr9ABwvhNgI4BEAhwghHjB1VGS7plc+07VFOrvRvanehtEQERERoN9bOP/Q+fCVFcS/sQkKF++tHDcu+dCyvokS1Wi2Veq/rSadWptuTeYaMhiWUv5cSjleSjkZwGkA3pBSnmX6yMg2oZYOtH+8Ou7POr/ebPFoiIiICAAigSB2PP6u0lZ8xkGWjqHwmD0BVzTLsHPFJnStr7F0DESJZrTFswDuNWw37pZOOi1vfQUZCsf9WedKBsNERER2aH51OUINbf3H7rwsFBy10NIxeIvz4Nl9itLGqtKU6sYSDGszO1hN2lojCoallG/FFs8iZ9Ju1xCrcxWDYSIiIjtotzgsOnlfuNJ9lo8j7ZC5ynHjElaVptSmTW32VRQN+766NGnODFuKM8OkkFIOGgz7OTNMRERkuWBDK5pfXqa0FZ9+kC1j8R08BxDRVOmOz9ehizVFKIVpA1jvCNbxewpzINK8/ceR9i6EWjsNGxsNjsEwKTpXbEKwJpqe4cpQrzj719Yg0h20elhEREQpreF/70MGo0uY0qeXI3uhPVVcXeNykbP3TkpbI1OlKYWNJU1aCKFLldYW5CLzMBgmRfOr6qxw3kG7wlWWH20IR+BfU23toIiIiFKcNkW6+IyDIYSIf2ML6KpKP8Oq0pS6AjXqOl9t6vNQmCptHwbDpNAGw/mLdod7eqnSxiJaRERE1ulcuRkdy9dHG4TAuFMPsG9AAAqP20s5bl9ahe6tO2waDZF9ZCSCYO3oZ4bj3V4bXJN5GAxTv1BzB9o+UbdUyj9sPtzTypQ2BsNERETW0c4K5x04F2mVwy/QY4a0yiJk7zlTaWt8lqnSlHpCDW3KEgZ3bibcWekjegztGmPODFuHwTD1a3nrSyAc6T/OmD0BaROK4ZmmzgyziBYREZE1ZCiMHY9p9xY+2KbRqIqO16ZKs6o0pR59JemRzQoDgK9cvbgVqGkY05ho+BgMU7/mVz5TjvMPmw8A+jRpbq9ERERkieY3vkCwrrn/2J2TgYJj97RvQDEKNcFw20erOaNFKUdXPGsElaT776NdM7yNf0dWYTBMAHrWOzS/vlxpyz98dwCAe3IxhMfd3x7Y2oBQc4eVwyMiIkpJ2hTpwhP2gTszzZ7BaKRNLEbW7tOiDVKi8blP7BsQkQ102yqNcL0wEG/NMINhqzAYJgBA55cblSvPrux05Ow9CwAgvB6kz6hQb8/ZYSIiIlOFmtvR9MKnSptdewsPRDs73LiEqdKUWnQzw6NJk2Y1adswGCYAQPNrcbZU8kU3AM+cPUH5uX/VFkvGRWS0iL8bHV9uQKTVb/dQiIgG1fDkB5Ddwf7jtMmlyNlnp0HuYb2i49Wq0q0frESgvtmewRDZQL/H8MiL2/lK85XjYF0zZDgc/8ZkKAbDBABo0m6pdPhuynHmnInKMStKUzIKtXbi62OvxVcH/BTN374JrR+ssntIREQD0u0tfPqBtu4tHE/61HJk7jI52hCRaHp+qW3jIbKaPhge+cywKyMNnoLsaENEIljfMtah0TAwGCaEmtrQvnSN0pZ/mBoMZ2iD4a8ZDFPyqf3X8+hYthYAIJs6sObsv6B783abR0VEpOevqkb70iqlbdxpB9o0msEVLdamSn9o00iIrBc0oJo0wHXDdmEwTGh+40sgIvuPM+dM1O1fGG9mWEoJomQRbvOj5t/PK22hhjasPusvCHd22zQqIqL4tj/8tnKcs98cpE8qsWk0gyvUBMMt736NYEOrTaMhspYR1aQBwMuK0rZgMExo1qZIL9pNd5u0icVwZUWrV4ZbOhDkFStKInX/fQXhOFXQO7/cgPVX3MaLO0SUMGQ4jB2PvqO0FZ9xkD2DGYaMGZXImBNTWyQcSdlUaRkKI9TSgUBNI7rW16Djq41o+3g1Wt5ZgUh7l93DI4NFugIINbVHG9wueEvyRvVYnBm2h8fuAZC9ZCSiK56lTZEGAOFyIXP2RLR/Gk3Z6ly5Gb6KkRcJILJapCuAmlufHfDnDU+8j6xdp6DiB4stHBURUXwt76xAoLqh/9iVmYYiTdXmRFN0/D7YujJaXLPhmY9Qcs6hNo5oeAL1zQiu2IKWbV2IdHYj3NmNSO9/4c4uRDp6/+8PINLRFf25vxvhjm5EOnvv19HTJgOhgTvzuNG65DfI3W+OdSdIpgrUNinHvtJ8CLd7gFsPThcM1zIYtgKD4RTX8cUGhHZEU5ncuRnI3mtW3NtmzJ6gC4bjBc5Eiab+gTeVQhSurDSIklyEN0TXC2++9kFk7jyRr2kist0OTYp04fF7w52TYdNohqdw8d7YeuNj/cetb3+FUHM7PPnZg9zLXlt+/wiq/+9JQEpYktQdCmPTL+7BLm//2YreyALaVObR7DHcRxcMM03aEkyTTnHNr3ymHOcdtCtc3vjXSPTrhrm9EiW+SDCEbf9YorSVnrcIOX89B+68rGijlKg6/+/wr6uxeIRERFGh1k40Pvux0lZ8emIWzoqVsdN4pM+s7D+WwTCaXlxm44gG1/HVRlT/5QnA4iUyHV9sQPcWFm50CiMqSQ90Xy5HtAaD4RQ3nBTpPtxeiZLRjsfeRSDmi4dI86L88uPgnlCEGf/9EeCKblMSbu3EmjP+hFBrpx1DJSJC49MfIuIP9B/7xo9D7rd2tnFEwyOE0KVyJ3JV6eqbnjTngYWAKzsd3pI8pE0qQcacCXDnZyk3aUzR9dROpJ299ZWPrnhWz325ZtgOTJNOYcGGVrR/ulZp0+4vHCtzZzUY9q/eChkKQ3hGtzaCyGwyHMa2vz+ttJWcdXBPpce2Hcg/ZB4mXncWNv/6/v6f+1dXY933b8HMB38C4eL1QiKylraKdPFpBybNe1Hh4r1R/X9P9B83v/EFQq2d8ORm2jgqPf+aajQ+/ZHSlr3HDHgKsuHKTIc7Mw2urDS4MtLgzkzv+XdmGtwZve19t8lM6/+/Kysd7gwfRLpPtxf0tlueUT5nmp7/BOUXH23JuZK5AjUNyrGvfPS1dLRbMjEYtgaD4RTW8sYXSnpQ5txJg6Z3eMflwVuch+D2nrWXsjuIrvW1yIhJiyJKJI3PfoKuqm3RBrcL5VeqRbLKLz8OnV9txI7H3u1va3rxU2y98XFM+MWpVg2ViAhdG2rR9uEqpW1cEqRI98mcOwnpU8vQtb4WACADITS/vAzjTvmWzSNTVf/tKeX7j3tGOXZ+5fe6INYohcfsoQTDrR+sQrCxDd7CHFP6I+sEtQW0xpAm7SnKgfC6IYNhAEC41Y9wux/u7MSqFyBDYbR99A0yZk8Y+sZJIDkuNZIp9Fsq7T7kfTK0qdKrkitVOlDTiOBXmyEjEbuHQiaTUiozFAAw7pRv6fbpFEJg6j++j6x5U5T26j//D43PqOv2iIjMpNtbeO9ZyJhWbtNoRk4IodtzuGHJRwPc2h5dm+qVi58AkHHegaYFwgCQPrVct/VU80uJu56ahk+3Zrhi9MGwcLngLdNWlG4a4Nb26dpQi5XHXotl0y5A4xF/wJrzbrJ7SGPCYDhFyUgEza8vV9qGU0VXt2746+QJhpteWobP5lyM1vP/jTVn/oX7yjpc86ufo3PFpmiDEKj88Ylxb+vKSMPMB34Cz7hcpX3tJbdwbTwRWUJGItjxiBoMjzv9IHsGMwbaYLj5tc8RbvfbNBq9mpuXAOHoBfH0GRXwHTLX9H4Lj9lTOW58/hPT+yTz6dcMjz4Y7rm/uuY4EStK+1dt7f+3bGxHqKHNxtGMHYPhFNXx+TrlxevOzUTOnjOHvF+mJiUimQKFrX98tD8tqunFT9G+bO0Q96BkJaVE9V/V4iiFx+81aEp/2oRizLzvamUNfKSjG6vP+DNCTcn9Rk9Eia/1/VXo3hxT7C/di6IT9rFxRKOTNW8q0iYW9x/LrqAuE80ugZpG1D/wptJW+aMTIdzmfx3WBsMtb3yBcGe36f2SeaSU+n2GxxwMJ/66YW1WaOZOyZ0uzWA4RTW9on4w5R0yb1iFsHRFtFYlx/ZK4Y4udHy1UWnTrssi52h9byXaP16ttFX++KQh75e772xM+tN5Slv3xjpUnf93yFDY0DESEcXa8fBbynHhsXvCk5cV/8YJTAiBwuMTM1W65tZnIbuD/cdpE4tRdMr+lvSdOW8KXGX5/ccRf6CndgslrVBjm/J6cmWnj3k/8KQIhr9Rv/sn+9phBsMpSrel0iBVpGNl7DQBiFlX07W+NimubLZ/tg6IqGnRbR9+Y9NoyGzbNFtm5B++m25N8EBKz1+EknMPVdpa3vwSm6990LDxERHFCrf70aDZhqg4CVOk++hSpV/5zPbvCsGGVtT991WlrfwHi+HyWlNLVggB34GzlbbG55gqncyMTpEG9GuOg4mYJv3NVuVYmzWabBgMp6DgjhZ0fLZOacs/bP6w7uvOSkfa5JgCRFLCv3rrwHdIEO2frtG1tX30DdcNO1D7Z2vR8uaXSlvlVUPPCvcRQmDyXy5A9l6zlPaaW5/VFV0hIjJC47OfINIRDRa95QXIO2gXG0c0NtkLpsNXGd1iJtLZjZbXlts3IAC1t72ASExA7i0rQMmZB1s6Bt9Bc5Tjppc+ZdZREjM6RTreYwRqEysYjgSC6i4d6J0oS2IMhlNQ8+vqlkpZ86bAVzr8TcIzZ2uKaCXBuuH2pVW6tlBjm+4PmpJf9f+ps8I5+81Bzt47jegxXD4vZt53le4K7borb0P78nUD3IuIaHS2a1Kki089AMI99NKlRCVcLhQet5fS1vDMhwPc2nyhlg7U3v6i0lZ+2XFwpfssHYdn/mR4CrL7j8PNHWh9f6WlYyDjBLWVpA0IhnXVpBMsTbprXa1yAcdVkgtPfvIt54jFYDgFNb/6mXI83BTpPtqK0v4ED4allHFnhoGe2WFyjs6vN6HphaVK20hmhWP5Sgsw84GfQKR5+9tkVxBrzvwLAvXNYxkmEVG/7s3b0frOCqUtmVOk+2hTpZteWoZIV8CWsdTd9QrCrZ39x56CbJSed5jl4xAeN/KPXKC0NT2/dIBbU6LTpUmPYVulgR4j0YJhv2a9sHtqqU0jMQ6D4RQjw2G0vK4WbMg/fOj9hWNpi2gl+sxw9+btCNa3xP1ZK4toOUr1359WjrN2m4a8g3cd9eNl7z4dU//+faUtUN2AqnP/ikggOMC9iIiGb/uj7yjHWQumI2PWeJtGY5ycvWbBWxbNOou0d6HZhoJR4Y4u1PzzWaWt7NJj4c4eW6Gj0So8Vp0xb3zhEy7ZSlKBmgbl2Iw06WBtM2QkMsCtraf9zu+eWjLALZMHg+EU075sLUJN7f3H7vwsZC+cPqLH0FaNS/RguP1TfYp0/880FYcpeXWtr0HDE+8rbZVXnQQRU/BtNIpPPxBllxyjtLV9+A02XvPfMT0uEZGUUldF2gmzwkBfqrRmb10bqkrX3/u6ZivJDJRddKTl4+iTd/CucGVE07MDWxvQ8cV628ZDo6edtfWVjT0YdmemwR1TRV6Gwghujz+hYwdt8Sz3NM4MU5LR7vWXf+j8Ea9LSp9WDuGLVl8M1jUj2NBqyPjM0L40foo00FMNO1DXNODPKXls+/sSpWJ4xuwJKDh6oSGPPemGs5F7oFrMpv7uV1F3z6sD3IOIaGjtH69G1/ra/mPh82DcyfvaOCJjFR6v7pPc9OKniHRbl1UT6Q5i2y1LlLbSC4+0dY2jOzMNeYfOV9qanmOqdDLSpkl7DUiTBhI7VVq7xzDTpCnp6ILhw0a2XhgAXF4PMmZWKm2dKxN3v2HdzLBbfdm3fcTZ4WTXXd2gK0BT+aMTIVzGvMUJjxsz/vsjpE1S04E2/uQurjsnolHTvm8VHLUQnoIcewZjgtx9d4JnXG7/cbi1Ey1vf2VZ/9sffgvBmugFb1eGD+WXHjPIPaxReIxmxvx5brGUjMyoJh3vcWJfw3aKdAWUi3cA4JnCNGlKIoH6ZnQsV1NxhrulklayFNGKdAfR8eUGpc136FzlmMFM8qu55RnIYLS6YdrkUhSdZOzsircwBzMf/ClcmWn9bTIYxppz/g/d1Q2D3JOISC/i70bDUx8obU5Jke4j3G5dVenGZ6xJlZahcE/GUIyScw+Dd1yeJf0PpuDI3ZUL8/5VW+BfV2PjiGikIt1BhHbEZEW6BHyl+YY8tq9M3eElUWaG/VXblAw834RiiKy0Qe6RHBgMpxDtHn9Zu02Dt3h0HwoZmmBYmzaRKDq+3AAZCPUf+8aPg+8wNd2VwXByC25vQf29ryltFT9cDOExfluSrLmTMO22y9T+61uw5qy/IOLvHuBeRER6jc8vRbjV33/sLclD3qHzbByROYq0VaWfX4pIMDTArY2z44n30b2xrv9Y+Dwov+J40/sdDk9BDnL30+w5zNnhpKKdFfaW5Bv2vUOXJr0tQYLhVWoWaObs5C/0BzAYTinNr2lTpOeP+rG0M8OJWkRLu79w9h4z4J03SWnr+HIDwu1+UHKq+ffziPij23X4KgpNnV0pWrwPKq9Wt2vq+Hwd1v/wdsdWBA13dmPDVXeg5ZI70fjMx3YPh8gRtCnS4075FlxeT/wbJ7Gc/ebAUxhN/Q41taP1va9N7VNGIth2k7rnfPEZByGtssjUfkdCnyrNdcPJxIw9hvt4yxNzzXCnZluljNkTB7hlcmEwnCJkKIxm7ZZKi0a2pVIsXZr0qi0JGQho9xfOWTgTrsJspE8vjzaGI2hfttbikZERQs0dqLvjJaWt/PLj4YrZG9gM439xKvKPUPeK3PHoO6j91/Om9muXTb+6F3V3vYLQp+ux5ty/ovX9lXYPiSipBbY1oOXNL5W2cQ5Lke7j8npQcMweSpvZVaUbn/0E/tXV0Qa3CxU/PMHUPkdK+5y0f7KGBT2TiL6SdMEAtxw5bWCdKMGwdklk5k4TBrhlchkyGBZCpAshPhFCfCGE+FoIcZ0VAyNjtX9ahXBLR/+xpzAH2btPG/Xj+SqL4M7N7D8Ot/nRvXn7mMZohjbtzPCeMwEAOXvvpN7uQ6ZKJ6O6O19S0gw9RTkoOfdQ0/sVLhem334F0mdUKO2bfn0fWt76coB7JadATSO23/9GtEFKrLv8Xwh3dNk3KKIkt/2xd5W1d5m7TkHW3EmD3CO5aVOlG5/7BDIUHuDWYyOlRPVf1VnhcSfvh/TJiVX1Nm38OGTNnxptkBJNL35q34BoRAKaolba1Oax0KVJ1yZGMNyp2VYpI4XSpLsBHCKlnAdgPoAjhRB7D34XSjRNr36mHOcdOm/EWyrFEkIgc456RUi7lsBugdomBLZEA3Th8yBr1ykAgJy9Zyu3bftolaVjo7ELd3ShRjMTW37JMXBnpVvSvycvC7Me+incuRnRxohE1Xl/Q1fMOrVkV/PvF5TiZADQvaEOW2542KYRESW3+HsLH2jPYCySe8Bc5QJ6aEcrWj8w53O3+bXl6NQUzqz48Ymm9DVWhceqqdJNTJVOGoEatXCmkWnS2v2KE2HNcLijC92b6qMNQiBjZooEw7JHe++ht/e/xMuHpUE1v7pcOR7NlkpauiJaCbZuWLulUtauU/rTZ3P20cwML11j2lVqMkf9va8j1NjWf+zOzUDphUdaOoaMGZWYfucPASH620JN7Vh9xp8csQ491NKB+v++Evdntf950bQvs0RO1vHZWiWFV3jcGHfK/jaOyHwunxcFR2tSpU2oKi2lxLa/PqG0FR63V8KmcxZo1g23vP0VQq2dNo2GRkKbuqxd5zsW3uJcpdp4uLnD9iKd/jXVQMxyyLTJJXBnJn8laQAQw1nnKYRwA1gGYDqAf0opf9b3s5aWlv4HqKqqinNvsltkRyuajrox2iAECl7+OVwF2WN63K7HP0LHn5/pP/YdsStyfnfamB7TSB23vISu+97pP04/bV9kXXUsgJ4PzKYj/wDZGE0dz7vvMnhmV+oehxKPDITQdML/QW6PbmuQcd5ByLx0kS3j8f/3LXT+Sw0afYfsjOwbz4CICZSTjf++d9B5y0sD/tw1vhD5D18Jke6zcFREya39T0vQ/b9oITrvgbOR+39n2zgiawTeWYW2q+7vPxZFOSh4/mcQbuPK1wSXrUfrxXcqbXn3XwbPTon52S6lRPO3b0Jkc3SWMfv3pyFt0a42joqGo+V7tyP0+cb+45xbz4NvrxmGPX7TMX9CpL6l/zj/yavgnmBfAbiu5z5Dx3X/6z9OtvetGTOiv5u8vDzli9mwyhZKKcMA5gsh8gE8JYSYK6VcMVhHiaqqqsqScSZSP/Ufv4nYlQ1Zu0/DrD2HPzM8UB+tBwaxMiYY9mxpHtM5G/2cfb3uAcSuahx/+J4YN2MGqqqqMHPmTKzZby4an41+Icmv7kD58cb1n0ivAaf1U3fPq2iMCYRdGT7M+eVZI9o/0sjzkb+fjqqaNjQ+9WF/W+CNr5G55Cv4T9jV9OfNjN9NpDuIzx//i9Lm3X8nBN+Lrq+PbG2E78FPMPnG8wztO5Fea+zH2f1YfS6R7iCWvaZ+fZpy4TEoNGgMify7iUyYhGXX/g/htp6sGdnQhrLGCHL3nWVYP6t+oi7fyD98N+x03EFD3s/O523TCfuh5ubod6m0ZZsx47KTDe/HDE78Gx2uz5v9iN0gbMqCXZA5Y+gMhOH2s2JiCdpjguEKXw5yRzA+o5+3TY0foiPmuHjhTpjY+506GeK/wYzocpyUshnAmwCszUWkMdFuqVRw+OirSMfK3FlTUbqq2pK9A4dDhsLo+Hyd0pa9UP1jzdlL/QBu+3i16eOisZOhMLb9fYnSVnLuYSMKhI0mhMC0Wy9FpqYAztbfP4LAO8mZSrzj0XcQjNlH0ZWZhuxrv43SC49Qbsd0aaLha3rpU4Sb1WKW+UcY85mc6FzpPuQfqVbhb1zy4QC3Hrn2ZVVoeesrpa3yqpMGuHXi0G6x1Pzq54h0B20aDQ2HlFJfTdrANOl4j2d3RWm/pnhWoi49GI3hVJMu7p0RhhAiA8DhAFh6N0nIUBgtb2i2VDp8viGP7cnPVireyWAYXVXbDHnsser8ejMindH1Fd6SPKRNLFZuo1s3/NE3Cbk9FKkanvwA3TEFqoTXjfIrjrdxRD3cWemY+eBPlf00AaD9N48lXUEtGYlg2y3PKG0l5xwKV14mJl57JtImlcTcWGL95f9CuNPe9UzkDJFAEGsvvhUfl52BlkvuRHBHy9B3SiLbH3pbOR737f3h8pm7FVwiKTpeU1X62Y8hIxFDHrv6/9QK0jn7zdHtHJGIsveYAW9J9GJuuM2Plnd0yZeUQMItHZBd0QsWrsw0uPMyB7nHyOmC4Vp7t93qXOXMPYaB4c0MlwN4UwjxJYClAF6VUj5n7rDIKG2frEE4phiDZ1wusnYb/ZZKWhmz1StDiVJEq02zv3D2wpm6tZuZu06BKyO61jFY26RWyqOEIyMRVN+kfuEpPuMgpFXat44mVvqkEsy458dK4QvZ0Y3N1z1o46hGrumFT9ULW24Xyi/rWW/vzs7A1FsuUW7ftb4WW65/yMohkkPV3PwMdjzyNmRXEKFP12PdZbc55iJloL5Zl6k17gxnV5HWyj9sPlxZ0aI7gW2NumKXo9H59SbdtkSVVyf+rDDQs1WftrhY0/Of2DQaGg5tdWdfeaHh9UG85eq+xXZWlA61diKwdUe0we1ChmZryWQ2nGrSX0opd5NS7iqlnCulvN6KgZExmjVbKuUfMg/CZVyxikxtRelViREMt2v3F95Dv57B5fXoUqe533Bia3rhUzVVxyVQ8YPF9g0ojrwD5mLS785R2hqf+hDty9cNcI/EIqXEtn88rbSNO3k/pE2IZlbkHTCX6dJkuEBNI6r/9pTS1vzyMjQ8+YFNIzJWw2PvAuHoLGjGnAnImjd1kHs4jysjDfmL1LTwxiVjrypdfZP6uslaMB15ByVPESrdFksvLDVsxpyMZ3aKdLzHtDNN2r9aTZFOn1bevzuLExgXFVFCan5VvQqt/RAaq8w56hpJ/9cJEgzHmRmOR5tCxf2GE5eUEtV/VWeFi07eD+lTy20a0cDKvn8UsuZNUdq2XJscs8NtH32ju5hUfqX+gsPEa89Ulx4wXZrGaMsNDyPSoX/9bPzpXQg2tMa5R/KQUmL7Q28pbcWnH5TU1eZHq2jxPspxw5KPxjT771+7TXfBpPKqk5Lquc391ly4c6J71gfrW3Tvw5Q4dDPDFQ4PhjUp0pk7OWN/4T4Mhh0ssK0BnSs2RRtcAnmHzDO0D93McAKkSQcb29C1tiba4BLI3i3+1fecfWYrx20fcWY4UbW8+aWuKFrlj060aTSDEy4XJvz2TKWt5a2v0PLWlzaNaPi0xcnyD98NWZrCYEBvuvStlyptXetrseWGh3W3JRpK+/J1umCxT6ihDZt+fo+l4zFaeE2N+vnodmHcKd+yb0A2yj9svrJEKbB1h+69fSS2/e1pZf/TzDkTUaAp1JXoXGle/Yw5U6UTlm6P4bKCAW45etoA2840ad16YQcVzwIYDDta82vLlePshTPg1RT3GauMmRWAK3r1tXvz9v5tE+zSvmytcpw5ZyLc2Rlxb5u9cIYyfv/q6qSfgXCq6v97QjkuOHoP3cWYRJJ38K7IPWCu0rb52gcTev1j56otaH55mdIWb1a4T9x06X+/wHRpGhEpJTb9/F6lTWhS8HY89i6aNK/NZNL9nGbJ0qHz4DPhC3QycGdnIP8wdXvHhlGmSndv3o4dj76jtFVcdZKhy8GsUnCMZt3wc58k9OdFKrMjTTpY22jb68H/jWZmOIG/e41G8r1b0LDpUqQPG/7ewsPlykhD+jQ1TbVT80djtfalmhTpPeKnSAOAJzcTmXMnK23cYinxtH64Cm2aACvRi6MIITDxWnV2uGP5ekPWx5ll283qrHDWgunI3X/OoPdhujSNVeMzH6HtQ/Xve+Z9V8E9o0xp2/DjOxCKKQiZLCKBILpfWq60FZ9+kC1jSRSFizVVpUeZKr3tliWQoXD/cfq0chSdsPcg90hc+YftBuHz9B93ra/VbWfjBJFgCMGGVnRtqEX78nVoefsrND7zMeofeBM1/3oeW/74GDb+/B6su/SfWH3WX9D6kwew44n37R62IqgNhk1Ik3ZnZ8CdG53IkcEwQjZN1uhnhp2VJu0Z+iaUjCLBkC4lM3+R8cEw0HOFKLbybOfKzcgZJAA1m7YypbZIllbu3juh88sN/cdtH32DQk1lR7LXNk1xlLyDd0X27tNtGs3wZe8+Hb5D5yLwenSbjC03PIyCY/aAy5tYb7/d1Q1oePw9pa3iysVDrrvrS5dedfx1/W196dKT//hdM4ZKDhLpCmDzr+9X2vKP2B0FRyxAdncbWr77LyDSEyQFqhuw5boHMeWvF9kx1FFrfnU5ZHM0iHfnZaHgqIU2jsh++Yt2h0jzQvbup9u9sQ6dX21E1q5ThrhnVKCuCfX3vaG0VfzwBAi329CxWsWTm4m8A3dRJjIan/sEmbMTLyVVSomudTUIfrEJTetbEW7tRKils/f/HQi3diLc0oFQ7//DrZ29/+5Utr0crrVvrUTapBLkDPF9zipWzAwDgLesEOHW6mi/2xrhHZc3yD2MF2pqQzBmWyfhdesmwZIdZ4Ydqu2j1Uq6src4b0QfMiORqdlrzM4iWjIS0QXDQwXm8fYbpsTRsXy9Lsuh4seJPSscK/Piw5WtlrrW1WD7A2/aOKL4am97XjfDUnjs8C4KMV2aRqvmtufRvXl7/7HwuDHphp5q7J7Zlbo9xOvuegWt76+0dIxjtf3ht5TjopP3hSvdF//GKcKTm4l8TQ2TxmdGljVT88/n+oNpAPCNH4dxpyb3OmxdqnQCrhsOtXTg68N/iS8W/gCtF/4Hq0+9EWsvuhkbr74TW65/CDX/WIL6/76Khic/QMtry9G+tKpnCVpN06gC4T5NLy418CzGxqpgOBGKaHWu0lSSnlGRcBfzx4rBsENp9zLMO3S+aWtoEml7pa6qbcq+yu68LKRPH/wKVs5es5Tjjs/XIeJnimei0G61kr3XrCFTdxOJe3IxSs46WGnb+qfHEyqNONTcjrp7XlXayq84bkQzLEyXppEK1DXpKsSXXrAIGTMr+48nXHMK0qeq6dLrr/x30rxHBxtadevwUz1Fuk/h8Wo6c8PTHw47VTrY2Ia6u15W2ip+sBguX3Jv91Jw1EIgJhunY/l6dMfu75oAtv7xMUP2hh6p9k/XDn0jC0SCIQS3q+nKZhTQAhIjGNatF3ZY8SyAwbBj6fYXNilFGgAydtZXlLZrkX9bnP2Fh7oI4KsoUr7Ey2AY7Z8lx56wTudfvRWNz3ystCXblhkAMP5np0CkR7+kBWubUPufF2wckaru7lcRae/qP/aW5KH4tANH9Bju7AxMveUSpY3VpWkwW373iPK6c+dnYfw1pyi3cWWkYerNFyttXetqsPVPj1syxrGq/c+LkMGYjIsZFUMu3UkVBUctgPBGL7h1ra3RbeEykNp/v6Bsw+UtydNddExGvtICZO+pZrM1PZ84M6L+tdtQd+fLQ99wMELAnZcF34RiZM6dhJx9Z6PgqIUYd+oBKPveUai8+mRMvOEcTLz+LOVuHZ+vTYi9l4O1TUr1cm9xnmkzpYlQUVq3Xni2s4pnAVwz7EjdW3fAvzLmxesSyD/YvM3n0yeXwJXhQ8QfANCzDUawvhm+UusrZWr3F84ZYH9hrZy9d1JS9do+Xo3c/ZJn9tGpqrVbZuwyGfmHm3dhxyy+iiKUX3y0sm3Rtr89jdLvHgZPgbEV3kcq0hVA7b+fV9rKLj5mVGmceQfugtILFqHurlf622r//QIKj98LuZptzCi1dXyxQbdcYMLPT43795C7/84oOf9w1N8dzV7YdsuzKDxhH2TPn2b6WEer8ZmPUf0XtQp+qu4tHI8nPxt5B+2qLINpWPLRkJVqQ62dqP3Pi0pb+eXHwZWRZso4rVZ47J5ojynk2fj8Jyj7/lE2jihq828fUJbTiLwM5C6cCXduJjx5WXH/787LhCc3s/ffWXBnpw8rU1FKieq/PoVwSwcAINzqR9faGiVzxA66bZVMSpEG4lWUbhrgluZx+h7DAGeGHUmbIp2z50xTv3ALtxsZs9Q/juFe3TWadpP67D2GdwVev98w1zrarWtTPXY8/q7Sloyzwn0qfngC3HlZ/cfh1s6eYN9m2x95G8H6lv5jV3Y6Ss8/fNSPN/G6s/Tp0pcxXZqipJTY+It7lAtd6TMrUTLI627itWfBV1kUbQhHsP7y2xAJhkwc6ei1f74Oa79/s3KO7rwslJx9iI2jSjzaVOnhrBuuu/uV/gAJ6MkoKD1vkeFjs0uBpoBn6/srEWxss2k0MeN472vdLHXWT47H7Cd+hZn//TGm/v37mHT92ai86iSUXXQkxn3nWyg4cgFy95mNzJ0nIW1CMTy5mcNesieEQPYCtVCmdutMOwRq1IDUrPXCAHTbr9myZliTJp3hsG2VAAbDjmTFlkpaunXDNhTRCrf5deuVtW+kA8nZW1tEa3VCpOOkspqblwDh6O8gfUYFCo/b08YRjY0nPxsVPzpBaau9/UV0VzfYMyAAMhxGzS3PKm2l5x4GT372qB9zwHTp3zFdmno0PfsJ2jRFsCb9/txBUw09uZmYcpNaRbpzxSbd6zcRdG/dgdWn3difLQUAcLsw876r4C22thJsois4Zg+lwKB/1Rb4Vw+8nVC4sxu1/3xOaSu/5Bi4czIGuEfyyZhWjozYCtLhCJpf/mzgO1hARiLY9Kv7lLasBdPhW2Re1iEA3a4R7Z9Zv1ZZS1c8y4RtlQZ6bKvTpIPbWxDaEV0fLdK9SJ9cYukYrMBg2GEigSBa3v5Kacs/fHfT+9UFwyutD4bbP1/XvwUH0DPTMNwv9RmzKuHOV2ft7JrdJiBQ24R6TQpl5Y9OTNotM/qUfe8oeMujV3plVxBbb3zMtvE0PrcUXetq+o+Fx42yS48d8+P2pUvHqr3tBbR+yIyLVBfpDmLTr9Uv1XmHzUfBMJY/FByxAEWn7K+0bf3T4/CvqR7gHtYLt/mx+tQbEaxrVtqzfrYYeQfuYs+gEpi3MAd5B8xV2ho0dSJi1d/3OoLbo5ks7pyMhEkhNlLhMeqF38bnBn5OrLDj8ffQsXy90jb59+eanqmVmDPD1lSSjvfYVs8M69YLz6hM+u9h8TAYdpi2D79RC+GU5iNz18mm96tNm7AlGNZuqTSCIiXC5ULOXurscCu3WLJNza3PqltmTCjWfQlORu7MNIy/5jtK2/YH37Tly7yUEtv+8bTSVnTK/kiLTUUdg4nXngXfBG116duYLp3iav/9Aro31Ucb3C5M+t05w77/5D9+F56i6LIf2R3E+itvS4hMHhkKo+qCv6Hz601Ke/mVxyP9RO5dP5DCxZpU6SUfxr1dJBBEzS3PKG2lFywaUyZLoirQbGvX8sYXtr13Rvzd2HLDQ0pb4eK9dRl1ZsjaXa0J0PnVRkS6AgPc2hpBC4Nhb0k+4IpecAg1tll6/rpK0gm457URGAw7TLwUaSvWWGpnhv3fbLH8y0n7UrV4VvYQ+wtrcb/hxBBp7kTdf19R2ip+sNgx+9qVnHkw0mdURBsi0paKy23vr0SHpmp6xZWLDXt8d04Gpt2qSZdeV8N06RQWqG9G9f+pBaVKz180oq06vOPyMPlP5yttbR+tVoq22WXTL+9F8yvqZ3DBMXtg4rVn2jSi5FB4zJ7KF/7OFZvgj8lY6bPjkXcQiFlWItK9hmSyJKKseVPhGx+9MBnxB9Dyxhe2jKXmX88jsDXmefe6LXtN+0oL4CrL7z+WwTA6Vmwa+A4W0KYq+8rNKxYrPG54S/PV/i0soqWvJM1gmJKAtniWVZV3vaX58BRGr9ZH/AF0b6yzpG+gZ5ZLOzM80u0rcrXrhj9kMGyHrkc/ULfMKM13xJYZfYTHjQm/Ol1pa3z2Y7RZvG/jtn8sUY7zj1hg+FVfpktTrK1/eBThNn//sTsvC+N//p1B7hFf0cn7If+IBUrb5useVHYEsFrt7S/qKhxnzZ+K6bdfOeyCQanKW5yn271BW0hLhsK6PedLzzkMvpJ8s4dnCyEECo/WpEo//4nl4wjUNeme97LvHYX0KWUD3MN4nrlqgdYOm1OlrUyTjvf4VqZK62eGnVc8C2Aw7Cjdm7fD/01M4Qm3C3kHmVvcoI8QwtYiWt2b6pV1RK6stBF/sc/abRpEWnQv2MDWHejeYt+Xq1QUau1E16MfKG3llx83qm1+Elnh8Xvp0r+2XPugZftzd6zYpMsiqfiBcbPCsZguTQDQ8dVG1N/3utI2/ppT4C0c+U4HQghMuekipWhSpL0L6398uy173De98hk2XvNfpc1XWYRZD/8M7qx0y8eTjAoX76McNy5Rg+GGpz5A94boBXbhdaP8yuMtGZtdCo5Vg+Hml5Yp2xpZYesfH1OW3nkKslH5k5MtHYNnjvpdrn2ZfUW0pJQI1FpXQAsAfGX2BMNSSv3MsAO3VQIYDDuKfkulWfDEFIUymzZ9QvtHZCZdivRu0yE8I1vk70rzIlsToLTF7PVH5qv/76uQbdEPXnd+Fkq/O/ptfhKVEAITf6ummbW+9zVaXl9uSf/adXfZe87ULRMwCtOlSUqJTb+4Ry1wOKMCpRceMerHTKsswsTrz1baWl5bjh2PvjPqxxyNjhWbUHX+35Rzc2WnY9Yj15g+Y+QkhcfuCcQs6epYvh5dvdllMhJB9V+fVG5ffPpBSBs/ztIxWi1339lKYc9QUztaP7Auq6Zz5WbdBazKn51i+Rptz85qANb+mX0zw+HWTiVzTaR74Tb5+dAG20GLKkoHa5sQbo5uYebKTFO3TXQQBsMOolsvvMiaFOk+mTvbV0RrtPsLa+m3WGKqtFUi/m7U/FPdJqX8YmdtmREr78BdkHfIPKVt83UPmb7WvnvLdjQ88b7SVnHlYlNrC+QduItuD9na217g31eKaHrhU7S++7XSNumGc8ZcB6Dk3EORo0mv3fTzexCobx7T4w5XoK4Jq0/7ozJzBpfAjLt+iKxdJlsyBqfwlRXoPn8bn+2poNz0/FI1680lUPFDczJZEonwuFFw5EKlrcnCVOlNv7lfvYA1rXxMe9CPlmenCmVNedfaGoSa2y0fBxA/Rdrsujx2pUnr9hfeabxjl3w486xSUKQ7iJZ3NFsqWbC/cCw7t1dq+1QzM7xwZMWz+mgrSnPdsHXq738DwfqYVPfsdJR9/0gbR2Q+7exw51cb0fDkBwPc2hg1/3peSbVLn1GBgqMXDnIPY0y67mxduvS6y/7FdGmHi3QHselX9ypteQfvivwjxr7ln3C5MPXmiyHSo8tbQk3t2Pizu8f82EMJd3Zj9el/UgoLAcDkP56HAs16ZhoefVXpjyCl1M0KF528H9Knlls5NNsUHqtdN7zUkqUAzW98gZbXlittE687Cy6fN/4dTCQy03RF9to1xR+toguGy8zP/rArGPav1KwXHkGhw2TDYNgh2j5cpRYdKi9A5txJlo4hQ/OH0rWuxpIS8BF/Nzq/3Ki0ZS+cHv/GQ8jZSw2iO1duRigmTYTMEQmGsO1mtaBT6fmL4CkY+XrCZJI1bwqKTt5Padvyu0cQCQQHuMfYhJraUH/fa0pbxRXHW3K1d6B06a2/f8T0vu3S/vk6fH3Ub9B6+d3wr91m93BsUXv7S8paT7gEJhm4P2nGtHJM+PmpSlvjUx+i8TnzZtBkJIJ1F9+iq8ZeetGRjtzz1iqFx+2lHLd/WoXuJZ/q9ret/NGJVg7LVnmHzIMrI1ozI7B1Bzq/2GBqnzIc1l3Aytl3NgqOsW97sKwE2W9YV0na5PXC8foI1FhTTVo3M+zQ4lkAg2HHaHrlM+XYqi2VYnlyM9WZn3DEkv1TO77cqMx0pU0shq90dKXuPQU56tpnKdGumXUm4zU++7G6dUOaF+WXOXPLDK0JvzxVWd/evbEO9fe+Psg9Rq/2zlfUi2ZlBRh36gGm9BVPvHTpmn8978h06WBDK1Ytvh5tH65C8OO1WHX8dQg1tdk9LEsFd7Sg+i+PK22l5x2uyyIaq/LLjkXWvClK24ar7zTtQuaWGx5G4zMfK235h++GyX/8rin9pYq0yiJk76lekO74s1rfoOCYPQx//SQyd2aabjmNmRd6AKD+gTd1s4JGXsAaDe3uIB02FdEKarY1sqIugLdM/T5r2cywrpK0M4tnAQyGHaNZk85ScPjYU9BGw45U6bHuL6zFdcPWq7vzZeW45KyDR31BI9mkTy1HybmHKm3Vf/4fwu3+Ae4xOhF/N2r/84LSVn7JMXClWZv2lirp0tV/eQLh1s7+48C2Rqz/0R22VDu2y5Y/PIpwa8xWSrmZo9pKaSjC48bUWy9VLioFa5uw+Tf3G95X/f1vYNvfnlbaMudMxPS7fjjioo2kV3icmiqNoFo9ufJqaysZJ4LCYzSp0i+YFwyH2/y6bJ1xpx6A7N2mDXAPa2TvrpkZ/mytLe+lVm+rFK+PQE2j6ecupVTX6UOf/ekkDIYdoGtjHbpiZmCFx43cg3axZSx2FNHS7s9qdDDcynXDpur8ehPaNBUySy9y9lphrcqffhuuzLT+4+D2FtTc9sIg9xi5+ofeQmhHa/+xOycDJd89zNA+hiMV0qW7Ntah7q6Xde2NT3+IHY9YW+3YLp1fb0L9PWpK/viffhvecXmm9Je1y2RdUaX6+15Hy9tfDXCPkWt5+yts+NHtSpu3JA+zHr0GntxMw/pJZYXH7zXgz/IOnWd7UGaH/CMXAO7o13X/yi3oWl9jSl/b/rFEqd0h0r2Y8OvTTelrJDJnT1DSxYP1LQhs3WH5OOxIk3bnZsKVFf1+ILuDCDWZW0AssHWHuid8bgZ8lUWm9mknBsMOoJ0Vzt5rlm0fzNq9ff0WbK+kTWPOGWUl6f77a4Lh9mVVpq3hJKDu7leUY8+CKY4u1BCPr7QA5Zceo7TV3LwEwYbWAe4xMjIcRs0taqXukvMOhyfPuq3XYjk9XXrL7x6GDMbfD3TjT+/q3zLGqaSU2PiLe9VKtFPLUPo9cy9yVV59MtJnVipt63/wH0OyDvxrqrHmnL8qS3JcGT7MeuQapE1w5nYjdkifVIKsAQLeyqtSb1YYALyFOcjdd7bS1vj8UsP76a5u0O3oUHH5cQmxhZXwuJE1f6rSZscWS3bMDAsh9LPDJm+vpN9feIKtafJmYzDsAM2vquuFCxbZkyINWJ8mHdjWoFtrmjnGLS3SJhYrV/tkVxAdJhesGI3uzdux/se3o+MvzyBQa01BBaOFWjuxXbMvaPopew9wa2crv+J4eAqi+xWG2/y6Kqqj1fjMx+iOCcCE143yS44Z5B7mGyhdOuJP7nTp9uXr0PA/deuq2P1Tw21+rLv4FiWocprml5ahVTMjO/F355heidaV7sO0my9Wnu/ujXXY+odHx/S4wYZWfPOdPyLcoq5BnvbvK3TpmzR22qrSAJCzz2xdQJhKCjSp0mZssbTlhocR8UeLnnpL8lDxgxMM72e0dKnSn1q/blgbDGvX85pFGwwHa80NhnXrhR0+QcFgOMnJ7iBa31mhtOUfNt+ewaBnm5bYdVOB6gZT94Nr/1S9Mpg1b8qYv3AJIRJ+3bAMh7H6jD+h/u5X0fXYR1hz9l+Sci3ijkffUfbo9JYVwHfgnEHu4VyevCxU/Pgkpa3uzpfRvXn7mB5XSolt/1ArdY879QBLrmgPZqB06S2/S+506S3XPqgcZ86dhKyr1WJwbR+txra/P23hqKwTCQSx6Vf3KW25B+6CgqPM374L6MnsKdMss6j513NoH2XBnUh3EGvO/LNyMQkAJlx7JoriBG00dkVxUqUrrz4pzi1TR6GmknPbx2sM3U+7ffk67HjkbaVt/C9OhTsnw7A+xsruitIyFEZQ85xb9Tlq+8zwbAbDlMCCn21QruT5KouQYWOlRZfPi/QZFUpb50rzUqX1+wuPLUW6jy4YTrB1w82vf4HOFZv6j9uXVqHljS9sHNHISSlRd+dLSlvJuYeldBGasouOgG98dF2ODISw5Y9jm9VqfWeFbmuSiiuOH9NjGiXvwF1Qcp4+XTr4xaYB7pHYmt/4Ai1vaWZErzsLaafsrdtXd+uNj9uS5me2ujtfQde6mPWMBm+lNBwTfnM6fLGpnRGJdVfcNuLlLlJKrL/iNrR9tFppLz7rYFT8YPEA96KxSp9ajoIjo3s15x64i66icqpJm1CsVkyXEk0vfmrIY0spsemX6gWsjNkTUHLWIYY8vlGyF2gqSi9fb2mGTbC+WVn64SnKsawApdfivYa1Sxy1SyCdhsFwkgt+oAaD+YfNtz2vX5cqvcq8VOn2perV/pwxFs/qf5w4M8OJNPOqDSIBYNvNz8S5ZeJqfW8l/Ktjtt5yu1BqQ0GnROJK92H8NeqeqTseeWdMyw20s8IFR++BjFmJs0XCpOvPVgMXKdF+/RNJly4tIxFs/u0DSlvuAXORd8g8CCEw9ZZL4BmXG719KIy1F92McEeX9qGSVrChFVv/pG6lVHLuYciyeM97d3YGpv7j+0qbf+UWXRXooVT/+X/Y8di7Slvut3bGlJsusv1z1umm/fsKTLz+LGReeRRm3ncVn28ABceqM+ZNBm2x1PTCp2h7f6XSNul35yTchem0icXKe2iksxv+1VsHuYex7FgvPFBfZgbDMhLRPa+cGaaEFvhAvWKdb9OWSrG0wbDfpHXDkWAIHcvXKW1GzQxn7jxRSQ8KNbahq2qbIY89Vl0b69D86nJde+vbX+lmABOZNqAvPHZP21N3E0Hx6QcgY6eYYFVKbLnh4VE9VseXG3QZA4k2oxUvXTqyeUfSpUvvePw9dH61UWmbeP1Z/V/ifSX5mHbrpcrPu9bVYNMv77VqiKbbeuNjyrpad24GJvzi1EHuYZ78Q+dj3OkHKm3V//eELv1vIDsefxdb//iY0pY+owIz77/a9LXPBHjys1Bx5WJknP0t2wr9JRptqnTL218hFLN922hEgiFs/q26BVneofOQf+j8MT2uGYQQyLYxVdqOStL9fVkYDHdvqlcyTj0F2fCW5JvWXyJgMJzEutbXILI5pniU1428A+3ZUimWVUW0/F9vVos9lBWoM0xjINxu3RZNibJuuO6ul4EBZqm3aSpBJqpATSMaNVe1Sy9Mre2UBiLcbkz49RlKW9OLn47q9bftFjVbIGefnZCz16wxjc8MeQftGjdduu3j1QPcI7FEugK64L3o5P2QPV+tiltw5AJdFe36e15D4wvGV4a1WueqLai7+1WlrfLqk+EtNmcrpeGY/Idzlf5lMIz1V9wGGR48tbLto2+w7rJ/KW2ewhzs9Og18ORnD3AvInNlzJ6A9Kll/ccyEELL68vH9Jj1d7+KrrWaZQ03nDOmxzRTvP2GrWLrzHCFdWuGU62SNMBgOKlpZwdz9pmdEMUOtOkUnSu3mJJirNtfeOEMQ/9g9fsNrxrgltaJ+Lux/YE3B/x5w5MfjLngkhXq7nkNCEf6jzN2Go/c/VOzcFY8BUcvRPae6sWYzdc9OKK/o65N9Wh48gOlreLKxJoVjhUvXXrdZf9MinTpujtfRmBL9O9OeN0D7s056YZzkD69XGlbf8VtCNQlZ0V4oG/N4b3K33Ta5FKUff9oG0cFeApyMPn/LlDa2j+tQu1/9MtM+nRtrMPqM/8MGQj1twmfBzMf+AnSp5YPeD8iswkhUKCZHdZeVB6JUHO7flnD2YfoJjQSia0zw7pK0vbNDAdN3EHE/42aIp05x9kp0gCD4aTW/NrnynH+4bvZNBJV2sRiuLLT+4/DLR2mXMVqX6rdX9iY9cL9j6fdbzgBZql2PPGBstm6pyAbrkkxAUQ4gprbnrdhZMMXCYZQf+9rSlvpBUc4/srjSAghMPG3ZyptbR9+g+aXPxvgHnq1/3xOd8FBW8QpkcStLr028atLh5o7dFtglZ6/COmTS+Pe3p2Vjul3/EBZjxdqaMP6y29LqLoEI9H86ue6dPxJN5xtWXGZwRQevzcKjlW3pdnyu4fj7vUcau7AN9/5I0INbUr71FsuSeltfShxFGrWDTe/8hki3SMrDNen+v+eRKgx+lp3ZadjvE3LGoYrSzMz3LlysyH7iA+HnWnS3tJ8Zcu44PaWERcEHC5tnZ8Mh2+rBDAYTloRfzda3tVsqZQgwbBwuXSV58xIldbuMWfUeuH+x1swXfnC2rW+1tbZm3jVl4vPPgQZZx+gtNXf95qp21mNVdMLS5Wrmq7sdIw79YBB7pGacvebg/xF6t/05usfHDLFE+gpZFR//+tKW/kVx0O4Evstf8B06QRZohDPtn88rVygcudkoPInJw96n+zdpmH8z7+jtDW/+jnq7nzZlDGaKRIM6dY95+6/sy4AtYsQAlP+70K4czP72yKd3Vj/g/8oFx8iwRDWnPtXdK2pVu5f+dNvo5jvT5QgshdOh7ckmvofbvOjVfNdcDi6Ntah9vYXlbbKH54AX6k1++aOlrcwB2lTYi40hiPo+MKaWikBzWyslWnSLq8H3uJcpS1Y22xKX6lWSRpgMJy0Wt5bCdkVvSrkGz8uoSrEZs42t4hWsLFN3b7D7ULW/KmG9uHOSkdm7FYGgG6LDSu1L1urFsgSAqXnL0LaUfN7rhr2inR069buJZK6O9Qv/MWnHgBPzBdViprwmzOVq8H+lVuw4/H3hrxf3R0vq1uuVRRi3Cn7mzJGo026/my4yvKjDVJi3WX/Ssh06e7qBl0mRvmVi+EdN/Q62YofLkbOPmr2yaZf32dpdVQj1N31ilpcUAhM+oO1WykNxVdWgEm/P1dpa337q/4lJ1JKbLzqTrS+rW6LVfTt/XQXLYjsJNxu3Z7djc+PvObA5msfVJYC+CqLUHbpsYPcI3FoJz46LEqVtnPNcLz+zCiiJUNh+DXFYp1eSRpgMJy0ml9R0yXzF+2WUF8+tHsdGz0zrE2Rztx5EtxZ6QPcevRy42yxZBftrFH+4fORPrkUwufRrc2r/c8Lo06dMlPnN1vQ+t7XSlvp+YtsGk3iy5o7SRfEbvn9o4P+bsOd3bor/mWXHJs0FXDdORnI+tVJSlvXusRMl976x0eVi5LesgKUX3rMsO4r3G5M+/cVcOdG6zzIriCqLrrZtPQ3owUb27D1RrXicsnZhyBr1ykD3MM+xWcdjFxNgclNv7wXke2tqLn1WdTfp2ZSZO85E9NuvTShPleJgDhbLL2wFDISGeDWem0fr0bj0x8qbRN+fTrcmWmGjM9sdhXRCmqDYQvTpAFrguGuDbWQMd8vvMV58BblDnIPZxgyGBZCTBBCvCmEWCmE+FoI8QMrBkYDk1Ki+VXNeuHDEiNFuo/ZFaX1+wsbmyLd/7gJEgwHG1rR8JRaDCm2+nLp+YfDlRX9IAvWNWPHo+9YNr7hqrtLDehz9pmNzJ2t3YM02Yz/xakQ3mi6fmDLdtTd/cqAt9/+wBvKOjB3biZKzj3U1DEazbfX9IRPl+5ctQXbH3pLaRt/zSkjuiiXPqkEk/9yofq4X27A1j88asQQTVd94+MIN8dspZSTgfG/Os3GEQ1MCIGp//g+XDFf+MOtnWj9wT3Y/Bt1f+i0SSWY9dBP4Ur3WT1MoiHlHTBXKZYarGvWLRsbSH+xuxhZ86di3He+ZegYzWRHEa1wmx/hNn//sfB54CnMMb3fWF5tRWkTgmH/qtTaX7jPcGaGQwCuklLOAbA3gMuEECz7aqPOLzagO6b4h/B5kHfAXBtHpKetPudfUw0ZGnqt43C1f6rODGcvNLZ4Vh9tMNzx5QaE2/0D3No89fe/oVytS5tcivzD5vcfe/KzUXLOYcp9tt367IiuFpst3ObHjkfUAL30oiNsGk3ySJ9citLz1Nnz6v97Iu7+kjIURs2t6vZapRcsSso09EnXnw3fhOJoQ2+6tFXFUoay+doHgUh0zWn6zEqUnHXIiB9n3He+haKT9lXatv3jGbS8+/UA90gM/tVbUau5uFVx1UnwJfB+lOmTSzHhl2qwHq6qVbaqc+dmYtaj1wwr1Z3IDq40r65GzHCrSjc8+YEucJ70u3MSvp5ErKxdJiv1XLo31SO4o8XUPnUp0mUFlmeN+MqLlGMzgmFt8azMFCieBQwjGJZS1kgpP+v9dxuAVQAqzR4Yxdf8xhdYufh6pS1339lwZ9u/pVIs77g8pciD7A6ia32tIY8tw2HdlcBsk2aGvcV56jYo4YilpfyBnvOtu0udCSy9YJHuw6v8kmMAd7Sta031iKoPm237Y+8oV1a9JXkoTJAiO4mu8icnKxXaQw1tqPnnc7rbNSz5SNlaS/g8KLvY3u1tRitudel1Ndj6e/vTpVvfX4nml5cpbRN/c4byBW24hBCYctNF8FXGfNGREusuuQWhmFnXRLPpV/epWylNKkF5ErzWyi4+ClmamaV+bhdm3ndVynwBpORVcIz62dn03CdDVqOPdAV6LuIpj7MHcvff2fDxmcmVkYbMndXsQ7O/l+mCYYtTpIGeADyWKcHwN5o9hlNgWyUA8IzkxkKIyQB2A/BxvJ9XVQ0vTcNuVo3TyH6klOh66H103vyiMhsBAKEDZpp+TqN6/MnFQH30at261z9GmthlkDsMr5/Qujo1XSUvA1si7RAjGONIzkfOqQBiNqXf+Pz7yKwYXiqkEb+XwDurlD1MkeZB2z6TlMfu+7fvsLkIvPxlf/u6Pz+KvOnGzXCM9nyklGj5lzpj6Tlud6zbtNHQfkYqmfpJO31f+O94o/+4+pYl6DxkBlyF2QCANWvWoOVPanqt7+jdsKl1B9C6Y8z997H0OatIR9pJe6L7yeisR82/nkfHbpXwzjMmvX6k5yOlROs1dyptnl0nYsfMfDQM8lhD9ZP+qxMQuPTu/lnKwNYGfPn9m5Dzu5GlHVvx+wl8sAZtmqU63ksPw7otmwzvy4zz8Vx9NHD2PwFNtlLWzxajvjID9SY9h8n0fsN+ErufyNRcwOPufw13ra/FN6+8D8/UaKVlbT/++95Rv0u4XZDnfWvM47HiedP2EZpeDHyxof9486ufYMfUsa9tHehcupevUo+zfWM679HcNyDVrMSWddVDPs5I+2n5Yp1y3JAt0DqMx0iG+G/GjIEnzYYdDAshsgE8AeCHUsrWkXaUKKqqqiwZp5H9RLoCWP/D29H5yNu6n6Udsxvm/uhUU9M1RnsuGxfOQu0n0at1eY0BTBjkcYbbT/2HmxGbEJO3106YOXP4adIjPZ/6RXth/TPRWSDfmvph3d+o18Cqa9QAp/jb38K0hfPi9tPxi7Pw1cs/7f9Z6PONKGsBcgzYdmos59P6/ko0rovZ19Ptwk4/PhVplUW62ybj36gV/YR+XYnlTy6N7oHaGUDaE59j8p/PR1VVFUqq/WhcE1NhXQjs9KuzkDG9Ysx997HjOQv/43J8sfSq6Jc4KRH44zOY9e5fxlzwZTTn07DkIzR+pV49n/Xni5AzyHvQsPqZMQObVm1Hzc3P9DcFXv4SBd8+CONOGd56Pit+PzIUxqff+ZvSlrPvbMz53gmGfw6Zdj4zZmDr1bVK8a/yK47DpJ+eYXxfvZLt/Yb9JH4/qw7aBS2vLe8/zv2qDpVH7B+3n+COFiy/V/0OWXbhEZh82D5jGoMVz1u8PuoPWYj1T0Qvkvo2No55HIOdS3VkBWI3rCycORGTR9nfaJ+zzmAavow59jT7B32ckfYTCQSxdHOD0jbzsH3gyc8a9H5W/e2YaViLBIQQXvQEwg9KKZ80d0gUK1DTiJXHXosd2kDYJTDxhrOR9dtvJ2y1S+32SkYV0dLvL2zOeuE+OXvPUo7blq4xdP3zYPzratDy+hdK22DrbLPmTdFVTK25eYkpYxsJbeGswqP3iBsI08A8uZmovFrdv7buv6+gq7d+wLa/q7/nwmP3NDQQtstA6dJbfvew5WOJBEPYcv1DSlvB0XvoaguM1oRfnobMXSYrbRuuukNJfbdb3X9fRXhDzHiEwOQ/fDdhP4cGUvnTkzH+59+BZ/4kTLz+LEy89ky7h0Q0IoWaVOnBtlja+qfHEW6Nziy687JQ+bNTTBub2bRFtDqWrR0yTXwsAtu02ypZ//1Fm5odqG0y9Jy71tUq3219FYVDBsJOMZxq0gLAXQBWSSlvMn9I1Kft0yp8dfA1uuDPnZuJnR77OSquOD6hv4Bo13RoN/IerTZt8SyT1gv3SZ9WDs+4aPpNpKMbHSs2mtpnH20Qmb1wBrLnTxv0PhVXHq8cNz77Cbo2GLNeezQCtU1ofEZdWVF6IQtnjUbp+YuQNjFaVEoGw9j6h0cRWlWt2yO1/AeLrR6eafIO3AUl56vVpWtve8Hy6tL1972u7m/uEpj4W+NmE11pXky/40qI9Og2WOFWP9ZefAtk2JoLcIMJNbfrKl0Xn3GQ4Xu8W0G4XBj/s1OQd8f3UXHlYgj3yNd7E9mp4OiFyj70HZ+vQ/dW/ZIY/5pq1N39qtJWefXJ8FpcDdlIGTMqlIraoaZ2pbCs0RJhzbA7LwuujGiF+0hnN8It+kKao6UtnpWRQrUThjMzvB+AswEcIoRY3vtf4lfJSHLbH34bK4/5LYK1TUp7+owKzH39Dwm3lVI8GbPGK2/UXRvqEO7oGtNjhlo71dLvQuj2nDOaEEK/xdKH5n8JD3d2Y/uDbyltpRcMHUTmHTJP3a5IyrjFlqxSf9/rytXG9BkVyE2w6ufJwpXmxfhfnKq07Xj8PXT8SZ0VztlvjiGp8Ylk0nX2VpcOt/tR/afHlbaSsw/peZ8zUOZOEzDpurOVtrYPVmFbTPq0HaSU2PL7RxBqiiYLurLSMOHXp9s4KqLU5Sst0E0GNL2gnx3e9Ov71WJ3k0tR9r0jdbdLJsLt1l2EM7OIVrxq0lYTQpi617B2wiozRbZVAoZXTfo9KaWQUu4qpZzf+98LVgwuFclQGJt+eS/WXXKrspUOAOQfvhvmvvoHZMxIjmLe7qx0pE0uiTZICf/qrQPfYRg6Pl+nbIORMasSnjzz0zhytcHwx6tN77Phf+8h3BKtJuspykHRiUOv7xFCoPyK45S27Q++iWBD3KX+ppKhMOrvUa9Il15wREJnNCS6cafsr+7jLSVCX6t/VxUOmhXuY3e6dM0/n0MwpiCgK8OH8dd8x5S+Sr93JPJitk4DgK2/fxQdy9eb0t9QWt7+Cl8v+iXq7lAzVSp/fJItXwqJqId2RwbtFkstb3+lr3x/3ZlwpXmR7HT7DQ9zr+XR0E5M2TEzDABeEytK+7/R7DHMmWGyQ6i5Hd98549xZ/HKf7AYsx75WdLl7ytf2gF0rhxbqnT7Uu3+wtbMfuXsowmGP/rG1PUpUkrU3ql+8Sw5+xC40n0D3ENVdPJ+ylYtEX9A90XWCk0vfKqstXFlpqH49AMtH4eTCLcbE34zcGpuxpwJuj0onWKgdOnWD1cNcA9jBLe3YNst6sxs2aXH6K7SG0UIgWm3XgpPUTSNUYbCqLroH5bus9y2dA1WHn8dVi2+Hu1L1S+avgnFKL/0GMvGQkR62i2WWt9fiVBTT5FFGQ73bIEWI2fvWSg8fm/Lxmem7N3V73/tn5kzMyzDYQS0wbBNFwF164a3GRcM69KkOTNMVvOv3ooVh/wcLW+oxZJEuhfTb78Sk647KynXNOmD4bFtvdGm+UKWvYe5xbP6ZO46RVmrEaxtQvemetP6a1+6Bp1fRrcNgBAoOW/RsO/v8npQdrH6RbX2jhct/SINALWaNc/jvvMtS2bynS7/iN11F2j6VFy52NEz7/HSpdebnC699c+PI9IeXeLhKcxBxZXmzr77ygow9R8XK21dVduw+Tf3m9ovAHR8tRGrT7sRXx/+S7S+syLO4DyYdsvFcGWMrZo3EY1NxrRyNWgJR9D08mcAgO2PvIPOrzYqt5/4u3Md8/mQvVBTROuLDYgEQ4b3E9zeqqSZewqybXvvMytNOtIVQNd6tbZMpsFLgBIZg+EE0PTSMqw47Be6F6KvohA7v3gDxn1neNtqJCJl7SoA/xgqSksp0a4pnmXVukiX16ObhTZz3XCdZla44IjdkT6pZIBbx1dy7qFw58YUmGhow/aH3zJieMPiX6Mv6jScNc80NCEEJl57lq7dN74IRSfvZ8OIrBM3XXp9rWnp0v51Naj/72tKW+VPTrbkok7hsXui5JxDlba6O19Gkybt0Sj+tdtQdf7f8NW3foKml+L3UXDkAuTdeynyDtrVlDEQ0cgUHrOHctz43CeQ/oDuPbHo5P0cVUvCV1EEb3l0hlZ2B+H/2phdS2Lp1gublBE0HNoq1sFaY4Jh/5pqIBLNdvRNKFYKlDkdg2EbSSlRfdNTWH36nxBuUzfTzt5zJua+cSOydxu8cnCi0y7AH8v2St0b66J7rAJwZacjYyfrrlzpimh9ZE5qZnB7Cxqe/lBpK71o5MUuPLmZutnkmluftawqrbYSds7es5Cl2TaGRi9nr1koOGqh0lZ+ybFweYe9fXzSsjJdessNDysF4NImlaD0/OFnaYzVpD+ci/SpZUrb+stvQ3B7ywD3GLnuzdux7vJ/4Yu9foSGJz+Ie5vcA3fBzq/+HrMeuQae6WVxb0NE1tOmSre8vhydd76BYE00tVekeQddXpOstAVUzUiV1qYixwbgVjMrTVq7XjhzTuqkSAMMhm0T7uzG2gv/0bNnpWbtafFZB2POs9c6ojBJ+rRyiJhCDcH6FgR3jO5LnHbNWvbu0y1NHc/ZZ7ZybNa2LvX3vQ4ZiKb6pE8tQ97Bo5uFKb/4aAhv9Dnq3lCHxucG3ovQKOF2v24WmrPCxpv8lwuQPq0cAJB36LyU2rLKinTp9mVVaNRcmJrwq9MsLT7jzs7AtNuvBNzRj+vg9hasu/y2MdctCNQ1YcNP7sLyhVdi+wNvKqmAfbL3mIHZS36DOUt+gxyLlqUQ0fBlzZ+qqxHSdd87ym3KLzl6xNllySB7gWbdsAkVpRNqZtikAlqd36j1fFKpeBbAYNgW3Vu24+sjf42GJ95Xf+B2YdKN52HqLZc4otIfAAiPGxkz1erXoy2i1aYtnmXy/sJa2QtnAK7oWhv/6mrDKzTLUBh1/31FaSu94AgI1+j+VH3lhRh3ippmX3PLM6YW/wKAHf97D+HWaLaDtzjPMUU7Ekna+HGY9+k/UPDyLzD7iV855n1jOAZMl77BmHRpKSU2/eYBpS1r3hRb0tBzFs7A+J+dorQ1v7wM9fe8NsA9BhdqasPmax/A8vmXo+6Ol5SLb30y507CrEeuwc6v/B55B+4yqn6IyHxCCBQcvceAP/cU5aDiRydaOCLr6CpKLzO+orQ2FdnOYNhr0pph7RLGTAbDZKbWD1dhxSE/V4sjAXDnZ2H2E7/smclzSHGDPkalSmvL5ucstHaWwpObicy5k5U2o7dYanppGQJbG/qPXRk+FJ950Jges/yK45Xj9k+rTF3vLKXUVa4uPueQlArUrCSEgKsw2+5h2CJuuvS/jUmXbn71c7S9v1Jpm3jdWaO+MDVWlT8+Edl7zVLaNv3iHvirqof9GOE2P7b++X/4fN5l2Pb3JYj4A7rbpE8vx/S7f4hd3vkzCo5c4LjPIyIn0m6xFGv8z091bOHKrPlTAaFOUoRaOw3tQ5uK7KsoGuCW5vNpUrSD9S2GFA3r1KZJp1AlaYDBsKXq73sdq46/TrfWK2P2BOzy5o2OLUiiK6K1auTBcMTfrauKaNW2SrFyNF9GjU6VrrvzJeW46Nv7w5M/tkAnc/YE5C9St9qpuXnJmB5zMO0fr0bn1zFVw10Cpd89fOA7EI2BGenSMhzG5mvVWeG8Q+bZ+h4tPG5M/88VcGWn97dF/AGsvejmIb8MRfzdqLn1WXw+/zJs/cOjStZGH9+EYky99VLM++hvGHfSfrYF/UQ0cjn7zoY7ztab6TMrUfrdw2wYkTU8eVnImFkRbZDS8P3YEylN2uXzwjMuN9ogJYL1Y6sfEe7oQvfGumiDEEjXZHQ6HT/tLBAJhrDhJ3di/ZX/hgyqxYsKjt4Dc1/5PdKnOLcgSYZue6WRB8Pty9erRWwml8JbnDfmsY1UvP2GjeKvqkbLW2r15bILR144K57yy9XZ4aaXlsG/eusAtx6bWk1AX3DkQqTFBitEBjIjXXr7I+/AH7ucQwhMvPbMUT+eUdInl2Lyn85X2jqWr8fWGx+Le/tIIIi6u1/B57tfgU2/uk8pQNjHW5KHyX8+H/M//QdKzjoYwpN8W/gRpTqX14OCIxfq2iddf7bj/6azTC6ilUjBcLz+x5oq7V+jZhelTymFOzO1ts1jMGyyYEMrvjnpd7q0UQCovPpkzHzgaseXL9ftNbxqC2REX6hlMLoU6T3tKeSSs5caDHd8vg4RvzEFe+ruUtcKZ+85E1nzphjy2Lnf2rknnShGzT+fM+SxYwXqm9G45COlrfSi1CnqRPbIO3AXlF6gVniu/fcLaP1g5OnSEX83tv7hUaVt3Cn7I2tXY/4Wx6r4jINQuFhdf7/tpqeVc5XhMLY//Da+2OOH2PDjO5Sqsn3c+VmYcO2ZmP/5rSj73lFcxkCU5Io07wu5B+6C/CN2t2k01tEW0eowuIhWIlWTBvQVpYNjrCjtX5XaxbMABsOm6vx6E1YcfA1a3/1aaXdlpmHGPT/GhF+dlhKpaL6KQrhzM/uPI+1d6N68fUSP0a4tnmXTXnlplUVImxid5ZTBMNo/Wzfmxw13dGH7Q28pbUbNCgM960rLr1Rnh7c/8jYCdfovyWOx/f43lOyH9GnlLL5Dlph47Vn6dOnLR54uXXv7SwhUR9ftC58H4395mlHDHDMhBKb87XvqFzIpsfb7tyDS5kfDko/w5X5XY90lt6J7U73u/q7sdFT+9NvY7Yt/ovKHJ8Cdla67DREln/wjF2Dc6QcCQsA9uRjTbrkkJdb864poGTgzHO7oQjhmDbLwuuGNTVO2gdEVpTs1SxczZlu3ZWmicH4kZpPuN1ZgxaJf6oI+3/hx2PmlG1B0wj42jcx6Qghk7qzODmuvRA1FOzOcbeMWH7r9hg0oorXj8XeVN1zPuFzd7M9YFR2/txrIB0Kovf1Fwx4/biXs8xelxAUfsp8R6dKhpjZU3/SU0lZ64REJtyWJtzAH02+7XGkLbNmO5sV/QdW5f9XtGQkAIt2L8iuOw25f/BMTfuHcgjpEqUoIgem3XY49tt6H/Md/pHzeO1nmzhMhfJ7+40B1g2FVlgO16oSBt7TA9u80vnK1gFegpmGAWw6Pbo/h2RMHuKVz8VuqwWQkgq03Po72nz2ESIc6I5Gzz2zs8uaNCZNuZyVdqvQI1g13VzcoaSoi3asLrq2k3294bJVr41VfLjn3UMPTFoXHjfLLjlPa6u56BeF2fTGd0Wh6+TPDK2ETjcRY06Wrb3oK4ZaO/mN3biYqrz7Z0DEaJe+gXVF26TFKm2zr0t1OeNwovWARdvvsFky64Rx4i+yd1SAic6VatofL59V9rzZqv2F9JWl71wvHG4N2jCOlmxlmmjSNhYxEsPb7t8QtZlJy3uGYveTXthR9SgQZs0cfDLd/qkmRnj8VLp9969t0M8MfrR7xGmj1/t9YVn25+KyD4SmIVqcON3eg/v43DHlsMyphE43UxOvOUmdEhpku3b1lO2pvV1/DFT86Ad7CHDOGaYiJvzlDd6Gxn0tg3GkHYt6n/8CUv15k63YgRERmMitVOphgxbOAOHsN145+uVuotVOZxIDbhYwZFQPfwaEYDBtox6PvouHx95Q24XFjyk0XYerfvmdrAGc3fRGtEQTDSzUp0hbvL6yVMatS2cIg3No54rTvWHV3qrPCBUeZV33ZnZWO0gvUglY1/3peqdQ9Gv6129Dy5pdKW9kFLJxF1nNnZ2DqLXHSpa9/aND7bfn9o5Ddwf5jX0Uhyi8+2pQxGsWV7sP0O66E0GSRFC7eG/M+vAnT/3050ieX2jQ6IiJraItoGTYznIDBsJHVpLW7iqRPK0/JYooMhg0S8Xdjy+/UtWmeohzMfvrXKD1/0QD3Sh2Zc9S0i6412xAJBAe4tUo3M7yHPcWz+giXS1dVunWUWywF6prQ+IxafbnsIuMKZ8VT+r0jlS/PgS3b0fD0h2N6TF0l7D1m6KpXE1klbrr0f14cMF2646uN2PHoO0rb+Gu+A1dG4m8vkbnzJOz02M+Rd/Cu8B01H7u89SfMvPcqZMxKvSIoRJSasjQzwx2frx1Txl6fwDZ1PW5iBMPGFdDSTuRk7pSanxsMhg1Sc9sLSgVSeN3Y+aUbkLv/zvYNKoF48rPhq4ym6clQGF1V24a8XyQQRLtmA3W7Z4YB4/Ybrr9PU315RgVyTa6+7CvJR/HpBypt225+BlLKUT1euKML2x98U2krNbASNtFojCRdevN1DwIxr/+Mncaj+IyDLBilMfIO3AWzn/o1cq7/Di9CEVHKSZ9aBndebMaeH11ra8b8uIk4M+wpzFEmNCLtXQjFFGAdiU7ttkopWDwLYDBsiOCOFmz7m1qBNP07+yBjRqVNI0pMGbPV2eHhrBvu/HozZJeauphWaf/at1ztuuEPRx4My1AY9fe8qrSVnr/Ikq0Qyi8/Dojpp/PLDWh9Z8WoHqvhiffVSthFObr9DomsNtx06Za3v0LLa8uVtom/PRPC4zZ7iEREZAAhhH7dsAGp0rpq0gkQDAshdNsradc2D5f/G83M8OzUK54FMBg2xNY//Q/htmhFXnd+FjLOP9jGESUm/brhodfZJsr+wlpZ86eqpfy37kD3lpHtndz0wqdKNoErMw3Fpx9k1BAHlTG9AgVHL1Tatt28ZMSPI6VE7R1q0aGScw6FK903pvERGWGodGkZiWDztQ8qP8/ZZzbyj1xg2RiJiGjssnfXBsNVA9xy+BKxmjQQp6L0KIto6WaGmSZNo+Ffuw31/1Vn98ZffTJcuRk2jShx6YLhr4eeGU6k/YVjudJ9yN59mtI20v2GazXVl8d951vw5Fu392fFlYuV45bXv0DHik0D3Dq+9qVr0PnVxmiDECgxqRI20WjES5ded9k/Ee7sRuC1Fej4fJ16++vPsiQ7g4iIjKOdLBnrzLCMRBDUBJmJkCYNxCmiNYrtlUJNbcr5Ca8b6dPKxzy2ZMRgeIw2X/ugUok3bVIJSk0ugJSstBt5DydNui1BZ4aBeFssDT9V2r96qy4t2ep1tjl7zUL2XrOUtppbnhnRY2grYecv2h3pk0rGPDYio7izMzD11kuVtu4Nddj86/vQ+S+18FvhcXshJ0EuuBER0fBlaSYoOldsRKQrMOrHC+5oVb7fu/Oy4M5MjKKKRlSU7lylqSQ9owIur2eAWzsbg+ExaP1wFZqe+0Rpm/DbM1KyLPlwZMyqBNzRl1xgy/ZBF/0Hd7Sge0Nd/7HwuJE1L3GKw+TsPVs5Hsm64VpNEJmzz07ImjvJkHGNRMXlxynHDU+8j+7qhgFurQruaNFVoS67iNspUeLJO2AuSi9UX5t1d72CSHXMFwi3CxN+c7rFIyMiIiP4SvLhi9mWUgbDI852ixXUpkhrqjjbyVumDYaH970tln69cGoWzwIYDI+alBKbf3O/0pa1YDqKTtzXphElPle6T5eCof1jjNX+qZrikjl3UsJclQOAnL3UGaTOlZsRau4Y8n7hNj92PPK20mZX9eWCoxcqvxMZCqP2388P6771978BGQj1H6dNKUXeIfMMHyORESZee6aaLq1Rcu6hLHpIRJTEtEW0OsaQKq1dh5soKdJAnDXDo0iT1q8XTs3iWQCD4VFrXPIR2peq61kn3XAO15oNQbdueJBU6UTbX1jLU5CjVsiWUjfmeLY/9o5ScM1bkofC4/Y0Y4hDEm53T2XpGPX3vIZQy+BBvQyHUXe3thL2ERAuvqVQYoqXLt3HlZWG8T87xeIRERGRkfQVpUdfRCsRt1XqY0SaNPcYjuI311GIdAd1FUgLjt4DufvOHuAe1Edbtn2wIlptmosNibC/sNZI1w1LKXXrbEvOPQwun32p9cWnHQDPuNz+43CbH/X3vjbofZpf+RyBmOrZIt2LkrMOMmuIRIaIly4NAOWXHQdfaeKkwBER0cjpK0qPYWZ4m5p6nCiVpAH9WLSFvoajU5OZmTGHadI0AnV3vYLujdG1rHC7MPG6M+0bUBLRzgxrr0z1keEwOj5T38Ry9kz8YLh1iHXDbR+sUs/Z7bK9+rIrIw1l3ztKaav99wuIBIID3AOovUsN6MedvD88BTmmjI/ISBOvPRNpMUXevKX5qLjieBtHRERERsiaPxVwRTM0u9bVINTUNqrH0s62JsIew320+wwH6pohw+EBbq0X3N6C0I7W/mOR7kX65NQtfspgeIRCze2o/sv/lLbS8w7nWrNhytxZnyYtpdTdzr+6Wkkl9hTlIG1yqenjGyltMNy+rGrwIFKznVLh0XsgrbLIlLGNROmFR8AVsx47sK0RDf97P+5tu9bXoOW15br7EyUDd3YG5rxwPYpO2he+g+ZgzgvXw53DrfCIiJKdOytdVwiq/fP1o3osXZp0WeIEw650HzyFMRMQ4QiC9S3Dvr9uvfDM8RBut1HDSzoMhkeo+q9PItTU3n/szsngWrMRSJtUAleGr/841NiGYF2z7nb6LZVmJuR67LSJxUq6iuwKouOLDXFvG6htQtOzavXxRAkivYU5KD7zYKVt263PxL1QoV0rnLVgOrJ3m6a7HVGiSqsswoy7f4Scv5yFjBTdV5GIyIn064ZHlyqtC4YTKE0aiDM7PIJ1w7pK0im8XhhgMDwiXZvqUfufF5W2ih8shrc4z6YRJR/hdusq1nWu0q8bbtcEwzkJVjyrjxBi2OuG6+95TdmzLmNWJXIPmGvq+Eai/LJjlfQi/8otaNbMAIc7u1H/wBtKW9kFiRHQExERUWrL0lWUHl0RrWBN4laTBgDvGCpK62aGZ6duJWmAwfCIbPndw8pWMr6KQpRdeqyNI0pOunXDcYpotX+qKZ61R+KtF+6Ts5cmGI6zbjgSDKHuHk315QuOSKjZ7vTJpShcvLfSVnPzEuW44ckPEI7ZPspTkI2ik7idGBEREdlPV0Trs7Vxs9wGE/F3K1mgcLvgLc4d+A420FWUHkERLe4xrGIwPEztn69Dw+PvKW3jf3laQu17myyG2l4p1NwB/zdbow1CICuB03DjzQxr33ibnl+qVPtzZadj3GkHWjK+kai4crFy3Pru12hfvg5AXyVsdc1z8dmHwJXuAxEREZHdMmdPUGqgBOtbENiyY0SPodtjuKwg4dbU6rdXahjgliopJTpXavcYZpo0DUFKiU2/uk9py9x5EopPO8CmESW3jDmaNGlNMNz+ubq+I2P2eHhyM00f12hl7jxRKcATamxDV9U25Ta1d2iCyFMPSMhzyt5tGnL331lpq7n5GQBAaOVWdCyPKUQhBErPX2Tl8IiIiIgGJDxuZM2bqrS1fzaydcPalONES5EG9GuYh5smHaxtQrglmuHnykpD2sRiQ8eWbBgMD0PzS8vQ9v5KpW3iDWcn3FWiZKFLk169VSkJ367ZXzgnAfcXjiU8bl0ad+y64c6Vm3Wvn9ILj7RkbKNRfqW6zUzD0x+ia2Mduh//WGnPP3w+0hOwwjcRERGlLn0RrZGtG9Ztq1SWePvQa6tbB4dZQEu3v/Cs8RCu1A4HU/vsh0GGwtj02weUtrxD5yH/kHk2jSj5eUvy4SmKloSP+APo2ljff9z+qbaSdGIWz4ql3294Vf+/6zR78ubsNweZCVysIP/w3dRiChGJLb9/BN2vfqncrpSFs4iIiCjBjLWitK6SdCLODOvSpIcXDPtXaitJJ+73UaswGB5C/f1voGtNdbRBCEy87mz7BuQAQgjdYv2+IlpSSt3McCIXz+qj22/449UAgFBrJ7Y/+o7ys7KLEndWGOj5/ZRffpzS1vD4e0BM8bi0SSXIP2y+xSMjIiIiGlyWpohWx/L1ym4eQ0n0bZWAOGnSo50ZTvHiWQCD4UGF2/zY+odHlbbiMw5C1txJNo3IOXRFtHq3V+paX6vu45ybgYxZlZaObTSyF0yH8ETT5rvW1yKyow07Hn0Hkfau/nZvWQEKjtnDjiGOyLhv7z9oWlDp+Yu4TICIiIgSTtrEYnjGRas/Rzq74V+9dZB7qJJhZthTlAPhjX4PC7f6EW73D3k//yptJenULp4FDCMYFkLcLYSoF0KssGJAiWTbzUsQ3N7Sf+zK8GHCL0+1cUTOkbFz/IrS2v2Fs3efnhRrGdxZ6cicN0VpC36xUVd9ueTcw+Dyeqwc2qi40rwou/jouD8TaV4Un3WwxSMiIiIiGpoQYkyp0tr1t4kYDAuXC96ykW2vJKXUXRTgzPDwZobvAZDYeZ0mCNQ0ouafzylt5ZcdB19FkU0jcpaBtlfS7S+c4MWzYuVqUqX9974D/+poir3wuFH63cOsHtaolX73cLiy03XtRSfuC29RYu23R0RERNQne4Fab2YkRbR01aQTME0aGHlF6cDWHQi3RWeP3bkZCXtuVhoyGJZSvgNgeInoDrLlD48i0tndf+wtzkPFDxYPcg8aCe2C/a51NZBdQf3M8B6JXzyrj3bdcHhVtXJccOyeCXl1cSCe/CyUnqsP3ssuYuEsIiIiSlyjnRmWUsbZZzgxv7v5NMvZhlo33LlKu7/wBAghDB9XshFSyqFvJMRkAM9JKedqf9bS0tL/AFVVIytdnqhCa2vRcsYtQMxzk/Wz45H+7b1tHJXzNC3+CyLbom84uXd+H63fvwMIR/rbCl79JVz5WXYMb8Qije1oOuIPA/48998Xwrtg6oA/T0Th2mY0n/RXINhTeMIzdwJy776Yb55ERESUsCItnWg67HfRBrcLhW/+BiLDN/j9mtrRtCj6XU5kpaHwrd+aNcwx6fjrc+h65IP+48zLj0DGuQcOeHv//e+g8+bo8r20E/ZA9i9PNHWMiWLGjOjkWl5envIl1tDFi7EdJaqqqqohx7nq548pgXD6jArsfPXpI1rrOZx+jGBFP2b1sXrXqWjatqz/uPvZZUognD6tHLP2mG94v2Y+Z8unlaNrXY2uPWP2BMw+dZEpQaSpr4EZQONdP8KW3z+MYKYXc+/6MdKnlpvTVy8n/e1Y1Y+TzoX9sB8r+3HSubAf9uPEfsbSx/KpZehaX9tzEI6grMOF3F3jP1ZfPx1fbUTsvHBa5ThDz9HI52zbnKnYjGgwnBt0YXLvY8frZ+32l9EZc1y2184oH+NYrHqtmSnxKxNZrOWtL9Hy2nKlbeK1ZyVF0aNkk6FZN9z9irqPbTLsL6ylTZXuU3rhEUk7m1p4/F6Y9/HfkXf790wPhImIiIiMkKVJle4YRqp0MlSS7jPSvYZ1laTnsHgWwGBYIcNhbPrVfUpbzr6zUXD0QptG5Gy6P0J/QDlMhv2FteIFw+6cDBR/5wAbRkNERESUmrI1+w23f5a6wbCMRPSVpHfitkrA8LZWehjAhwBmCSG2CiEuMH9Y9tjx6LvoXLFJaZv0u3OSdkYv0Q11RSonGWeG99EHw+NOOxDunAwbRkNERESUmrQZhtodS+JJlkrSAOAdQTDcvakekZhJJ09BNrwl+WYNLakMmfsrpTzdioHYLeLvxpbfP6K0FZ28n+6qEhknfXo5hNcN2VucKZYrw6fbizgZpE8rh7esAMGYSoSlFyyycUREREREqSdrl8kQHjdkqOd7Zvfm7Qhub4G3OG/A++j2GNZUbE4k2pnhYG0zZCQC4dLPdeoqSc9mJek+TJPuVXPbCwhUN/QfC58HE36dEtcBbOPyeZE+oyLuz7LmT0vKddpCCEz87ZmAu+dPq/zK43XbSBERERGRuVzpPmTOnaS0DZUqHahNnjRpd2Ya3HnRHVdkKIzg9pa4t/V/o6ZIZ87md9M+DIYBBHe0YNvfnlLayr53FNInl9o0otQxUKp0Mu0vrFV8+oHYfcVtyF/yE0y87iy7h0NERESUkka633AypUkD+vEFa5ri3q5z1WblOGN28mVfmoXBMICtf3oc4TZ//7E7PwuVV59k44hSR+acSXHbcxYmX/GsWL7yQrgrCpiCQkRERGSTrBEW0UqmAlrA8Ito6SpJs3hWv5QPhv1rt6H+v68pbeOvPhme/GybRpRaBkrTSOaZYSIiIiKyn3ZmuGPZWkgp49420h1EqKEt2uASCV9kajjBsAyF4V9TrbRlME26X8oHw5uvfbB/YT0ApE0qQelFR9o4otSi3WsYAHzjixL+ShwRERERJbaMGRXKjh6hpnZ0b6iNe1ttIOktyYfwuE0d31j5ytUCX9o0bwDo2lALGQj1H3tL8uAtyjV9bMkipYPh1g9Xoem5T5S2Cb89A640r00jSj1pE4t12w5lJ3mKNBERERHZT7jdyNptmtI20LrhZEuRBoa3vZJ/lXZ/Yc4Kx0rZYFhKic2/vl9py1owHUUn7mvTiFKTEEKXqpGM+wsTERERUeIZbhGt2G0xgeQIhnVp0rX6YFhbPIuVpFUpGww3Pv2hbvPtSTecw4JHNig4YkH/v4XXjfwjFwxyayIiIiKi4ckeZhGtZKskDejHGG9muPMb/R7DFJV8G7kaINIdxObrHlLaCo7eA7n7zrZpRKmt/NJjENzegh0fr8TkS45HxvT4ew8TEREREY2ErojWFxsQCYbg8qphUDKmSetmhuOsGdZXkmYwHCslg+G6u15B98a6aIPbhYnXnWnfgFKcKyMNk288D8GqKoybwRRpIiIiIjKGr6II3vKC/j14ZXcQ/q83I2v+VOV2yRgMe8flAm4XEI4AAMLNHYj4u/t/HgkE0bW2RrkP1wyrUi5NOtLqx9Y/P660lZ53ODJmVNo0IiIiIiIiMos2VbptWZXuNtpZVa+mUnMiEm43fGWaitIxQX3Xulpl1xxfRSE8+VmWjS8ZpFww7P/vWwg3d/Qfu3MyMP5np9g4IiIiIiIiMku2pjhrR5wiWsk4MwwMniqtLZ7FWWG9lAqGuzbVo+vRD5S2ih8shrc4z6YRERERERGRmYYqoiWl1FViTtpgOKYqtm69MItn6aRUMLzlhoeAoJoqUHbpsTaOiIiIiIiIzJQ1fyoQs2OMf3U1Qq2d/cey1Q/ZFew/dmWlwZ2baekYR0sXDNfEzgxrKklzZlgnZYLh9s/XoeF/7ytt4395GtyZaTaNiIiIiIiIzObJy0LGzJjdSqREx/L1/YeR7a3K7X3lhUmz3apXu71STJq0X7OtUuYcBsNaKRMMb/7tA8px5s6TUHzaATaNhoiIiIiIrJI1SKp0pF4fDCeLgQpoRboC6Fpfq/wsY9Z4y8aVLFImGJ78x+8i77D5/ccTbzgbwu22b0BERERERGSJ7AUDF9GKNzOcLAZKk/avqQYiMnq7CcVwZ2dYOrZkkDL7DGfuPAmz//dLfP3Ai8haUYv8Q+bZPSQiIiIiIrJA9kLNzHDM9kqR+hblZ95kCoY1adLBmkakAfB/s1VpZ4p0fCkzM9zHt9d0TL7xPLuHQUREREREFsmcMxEizdt/HNjWiMC2BgBAZEebctuknhmubYKUktsqDVPKBcNERERERJRaXD4vsnadrLS1f7YOQHKvGXZnZ8CdG01/loEQZHMHt1UaJgbDRERERETkeAPtN6xbM1yRPMEwoA/eI/Wt6NSmSXNmOC4Gw0RERERE5HjaIlrty/qCYXXNcDLNDAOAt0wdb3hLA7o31kUbhED6zEqLR5UcGAwTEREREZHjZS1QZ4Y7Pl+LSHcQsrEj2igEvKX51g5sjLTBe/CTtcpx+pRSuDPTrBxS0mAwTEREREREjpc+tQzu/Kz+43CrH63vfa3cxlucC5c3uTbc0VWU/qhKOWbxrIExGCYiIiIiIscTQiBbMzvc+NwnynGypUgDcdYM1zQrx9xWaWAMhomIiIiIKCVoi2g1vbBUOXZCMKzFmeGBMRgmIiIiIqKUoC2iFaxrVo69SVZJGgB85QWD/pzB8MAYDBMRERERUUrI2n3aoD/3lRdZNBLjDDoz7HYhY0aFdYNJMgyGiYiIiIgoJfhK8uGbUDzwz8sGn2VNRN6SfMAl4v4sfVo5XGleaweURBgMExERERFRysheOH3An2krMycD4XEPuB1U5mymSA+GwTAREREREaWM7N1nDPizZCygBQw8bq4XHhyDYSIiIiIiShna7ZViJePMMDBwMMyZ4cExGCYiIiIiopSRNW9K3DW2rgwf3HlZNoxo7BgMjw6DYSIiIiIiShnurHRkzp6oa/eWFUCI+IWoEl28YFh43UibWmbDaJIHg2EiIiIiIkop8VKlk3W9MBB/7BkzKuHyemwYTfJgMExERERERCkle6G+iFayrhcG4o89gynSQxpWMCyEOFIIsVoIsVYIcY3ZgyIiIiIiIjJL1u4pMDPMStJDGjIYFkK4AfwTwFEA5gA4XQgxx+yBERERERERmSFzp/FwZaYpbb7yIptGM3besgJdG4tnDW04M8N7AlgrpVwvpQwAeATAYnOHRUREREREZA7hcSNr3lSlzVeZvDPD7txMuLLTlTamSQ9NSCkHv4EQ3wZwpJTywt7jswHsJaW8HABaWlr6H6CqqsrEoRIRERERERmj66ml6PjDUz0HmT4UPPczuHIy7B3UGLT9/CEEXlsBAHBPL0Peg5dDuFgiasaM6PrwvLw8pVy4oeXFYjtKVFVVVZaM00n9OOlc2A/7cWI/TjoX9sN+rOzHSefCftiPE/sxuw959TQ0TJ2I6veWY+YlJyBj1njT+gLMP5/QXVdj29+fRmN1LWb/6hykTSw2rS/AuteamYYTDFcDiJ1jH9/bRkRERERElJSEy4Vx394fTfNKkTHD3EDYCp68LEz87ZnorqoyPRB2iuHMmy8FMEMIMUUI4QNwGoBnzB0WERERERERkXmGnBmWUoaEEJcDeBmAG8DdUsqvTR8ZERERERERkUmGtWZYSvkCgBdMHgsRERERERGRJVhejIiIiIiIiFIOg2EiIiIiIiJKOQyGiYiIiIiIKOUwGCYiIiIiIqKUw2CYiIiIiIiIUo6QUo7pAVpaWsb2AEREREREREQmy8vLE7HHnBkmIiIiIiKilMNgmIiIiIiIiFLOmNOkiYiIiIiIiJINZ4aJiIiIiIgo5TAYJiIiIiIiopTDYJiIiIiIiIhSDoPhJCKE8AohjhNC7Nt7fJYQ4jIhRL4JfS0QQlwuhPhV7/8XGt0HEREZSwixh91jGK3ez50SIYRbCLFYCLHIon4vs6Ifowkhynv/L4QQJwghfi6EOE0I4bF7bKNh5Xccq9j5XSqZ3wviSdbz4fta4kuZAlpCiLkA5gJYJ6VcavBjHw/gNSllp5GPG6efpwAsBZAPYAGAFwDsAHCGlPIIA/v5G4A0AK8BaAGQC+AwACEp5Q8M7GdnAGEp5TcxbXtJKT82qo9B+j5OSvmsgY8nABwNIAzgFSllpLd9sZRyiYH9pAE4FkAVgA0AzgfgB3CflLLLqH4G6Pt6KeVvDH7MfCllc++/j0Xv3yiA/0kD35yEELtJKT8XQmQAuBjATuh5/v7d179B/VwJ4Dkp5XqjHnOAfgoBnAmgAcCTAH6Cnr/Tf0kpNxjUh0DPa21f9Lzn1AF43oT3TzeAEwDs09tPM4CPADwtpQwZ2dcA/Sfre0G8i9kCwEtSysON6qe3L9Pfq4UQd6Fn/N0ASgBUA2gFUCKl/J6B/bwLoO+9pW+vyZ0BrJBSHmBUPzH9mfnd4w0p5SFCiH+g53PgDQDzASyUUn7HwH4c9R2nt69doL63vSylrDG4D6u+SzntvcCS8+H72pj7NO29zWqODoaFEC9JKY8UQvwQwKEAngewH4CtUsqfG9jPNgCb0POG+hSAZ6SUTUY9fkw/b0opD+799wop5Vxtu0H9vBPvj2eg9lH28VcApQCCAMYBOF9Kub3vw92IPnr7mRqvGcA9UspvGdjPA+gJrkLo+bC7UEq52oTzeRrAZwDcAA4G8DR63liPkFKeYmA/mwFsBhCBiW+sMV/m/oieLyVL0PM3Ol5KeZ4J/dwL4ENEvzR+V0p5tIH9rAfwBYAyAC8BeFJK+ZVRjx/TzysA7kHPc3YxgGvRExhfJ6U8yKA+7gTwNXrO5xAAOQAaAXRLKW80oo/efu4H8CWA16F+YZwnpTzLwH6c9l7QiZ6LBgLql6BdpZRFBvZj1Xv121LKA3v//ZWUcpfefxv9+fYjAPPQ83t/q7ftRSnlUQb2YdV3j9eklIf1/T+m3ejnzGnfcW4EkIGe97aDAXSh5+LVB1LK+wzsx/TvUr2P57T3AtPPh+9ro+7Hkvc2qyVlKs0I+Hr/fyKAg3uv0P9bCPGewf2sllIeLISYAuAkAE8JIboBLJFS/svAfjqEEL8CkA2gQQhxFXq/nBrYBwB8KoT4D4BX0RNo5aLnRf+ZgX3s0fdhIITYFcDjQoirDXz8PssB/A/RgK7PFIP7Gd/3xV0IcQeAe4QQtxrcBwDkSSmv7+3naCnlTb3/Pt3gfn4I4GT0vAYekFKGzHhjjbFv3wcGgJeEEG8Z/Piyd8auDMB/emed15iQRrRJSnmiECITwFEAfiaE2AnAG1LKnxrYT5qU8iEAEEJcLqV8svffRl7dnCalvLD3328IIV6XUh4qhHgVgGHBMIDJUsqzNW2f917pNtJyOOu9YBWAk7SZDb2/HyNZ9V4d+33kFzH/1v6+xkRK+TchhA/ABUKIiwE8ZOTj97Lqu8e9vRettvRehHkbwK4APjW4H6d9x9lDSnlo77/vFkK8KqU8XAjxGgDDgmFY810K6HkvOFFK2RLbmMTvBVa8t/F9bXSsem+zlNOD4TlCiPsATENPqoq/tz3djM5kT3riXwH8VQhRCmCxwV2cAuBIAGsBXAfgXPSc16lGdiKl/LEQYjcAewOYgZ7ZmtullJ8b2I1bCOGTUgaklF8KIU4E8AB6Zh+NtALAz6SU22MbhRCPGtyPSwiRI6Vsk1JuEz0pv3egJ9XLSL6Yf18a82+3kZ30BldPCiGOAnC/EOJDAF4j++i1e2/QM1v0pkyLnhSpHIP7+SOAx9CTgvtW7xv3bPTMchiuN53wCQBPiJ71e4Zdae61ufdLsBvAV0KIW9DzpXGHgX18JYS4DT2ztgcBeLO33ejPjSVCiOcAvIXoF8YDARiWutzLzveC22H8e8GxAOKlrRp9wUr7Xn0SgPth/Hv194QQbillWPamrfd+ubvJ4H4gpQwAuK33YsXZ6JkhNJIl3z2klPcLIV4HcAR6ZrncAO6UUhp9Pn39OeI7DoB6IcTPEH1vW9nbbvTnqBXfpYCe9wJ/nHaz3wvM+t5mxXsb39dGx9K4yipOT5OeFHO4TUoZFEJkA/iWlPJFA/s5Qkr5slGPN0RfC6BZWyelNPoq8EB97yENWhcghNgTwEYpZX1MmxvAKVLKR4zoo/cxPdKadYeTATTFuTK7t5TyIwP7KQLQKGP+cHuDrd2M+t0M0O/BAOZKKW8xq4+YvjIAzDT6C50QIh09fzul6Pnb+VRKaWTwCCHEPLO+iGr6EehJ896KnvToRei50vyKlDJsYD8L0TNzulpK+WVf39LgDw4hRDGAheh5X2sBsFQbtBrQh6PeC3of0/TPA6veq3sf15LPN7P7seq7R29fCxBd+9oEc14DjvqO0/v6PRG9720AnpVSSiFEhZRym5F9DdC/Yd+lrOzHSe8FTjoXK/ux8r3NSo4OhgHHvQj/hp6ZQe3auqQtxhCnb6PfvC0pzhPz4bq3Bf2cAGvOx4n9KF8aTewn6Z+3mNf0PgDyzOhjiP4NLWzltH6ERcV5evuy6vPNimJDVvXjmOesty/HfMfp7avvIkL/e5sJ52NVISjbvrP19m/09zb+jSZoP7192TYpZxZHB8NOexEKe4oxAD0FDIwuXmDVh4RVxXnYz+j7+Qr6v51k7scRvx8Lz8WqwlZO68eqzwOrLsJadT5WFIh02ncCJ56PFa9p079LxenHzAJaVn1vs+pvlO9rI+/HsqDbSk5fM7wgzovgKSHEO0naj5OKMbRjgDdvA/sArCvOw37Yj9P6cVphK6f1Y9XngdM+36zox2nPGc9ndKwqbGVVP1Z9b+PfaOL2Y9XzZimnzwzfBCAL+hdHt5Tyh8nWT29ffcUY8hFNTzC0GIMQohxAg+xZjB/bbtiaOyHEMgCHxHvzNvgK49XoKZDxFnp+N3kADgDwrpTyz+yH/bAf+/ro7ecDAItlnMJWUkrDCuc4rZ/ex7Ti88BRn29W9OO054znM+p+TP8uZXE/lnxv631M/o0mYD9WPm9WcnQwDDjrRRinz58a+aXUyn6sevPufczY4jzN6CmcZGhxHvbDfpzYj0V9WFXYylH9xOnXtM8Dfr6N6nEd9ZzxfAzpM9lf05Z9b9M8Pv9GE6gfO54300kpU+Y/AD91WD9vWNTPmw56zm5iP+yH/SRmH+xnTP28aVE/Vr1XW3U+pvfjwOeM55PY5+O0583077pOOheL+7HkeTP7v3iL4Z3sSIf1c7dF/dxlQR9G74c3kN3YD/thPwnbB/sZPSvepwHr3qutOh8nfb7xNTA6Tjsfpz1vVnzXddr3dqv6sep5M1WqBcOOehFKKR8AACHEcQ7ox6o379+zH/bDfhK2D/YzTEKINCHEyUKIXYUQOQDGCSG+J3r20zaTKe/VVp2PTc9bUj9ncfB8hsHhr2nAou9tUsoHhBDXm9yNZd/bLTgXy/qBdXGVqRy/Zjgekbz7Sjpqa5AB+jb6ORMAjgYQBvCKlDLS275YSrmE/bAf9mNfH+xnTP08jZ5KoW4ABwN4CkAbgCOklKcY2E8agGMBVAHYAOACAJ0A7pNSdhnYz9Ow5nxM78eBzxnPZ3T9PA2HvKZ7+7HqedsMYDOACNBflX9nACukgdsExen3einlbwx+TEvOxa7nrLdvw583qzk6GHZa8CiEaEX8LTsOl1KOT6Z+LHzOHkDPm3YIPXuhXSilXC2EeENKeQj7YT/sx74+2M+Y+nlTSnlw77+XSin36P3361LKQw3s52lY80XbqvMxvR8HPmdPg+czmn4c85rufbynYc3zdhKAk9FTsfgBKWVICPGilNKwtGwLg1TTz8XifmwLus3k9H2Gl8NZ+0quAPAzGWfLjiTsZzmsec7GSynPAgAhxB0A7hFC3GpwH+yH/TixHyedixP78cX8+9KYf7sN7idPSnk9AAghjpZS/q3336cb3I9V52NFP057zng+o+Ok1zRg0fMmpXwSwJNCiKMA3C+E+BCA18g+APwQFgSPFp2LZf3AoufNcjIBqniZ9R+ADwAUx2l/NEn78Vj0vJnej4XP2TsAcmKOfQDuAdDCftgP+0mNc3FoP0Xoze6KafMC2MPgft6P+fceMf9+K0nPx/R+HPic8XwS+3wc9bzF6fdgAFeY9NhHAXgYwJUAXjPzPMw+Fyv7sfp5M/s/p6dJO3pfyZj+k24NtIW/m8kAmqR+k/i9pZQfsR/2w37s64P9GM/ozwMhRBGARhnzZUEI4QUwX0q51Kh+Buk/GT/fHPWc8XyMlYyv6d7Hc+zzJoQ4GMBcKeUtZjx+nP6S8jUQ5/Etfd7M4ug06YGCLaNfHFb1IwZeZ/tTAEnVj4W/m40D/KjYqD7YD/txYj9OOhcn9mPV54GUsiFOW1AIUWZUH4DjPt8c9ZzxfEbHSa9pwHnPWywp5ZsA3uT39pEx63mzmtNnhllAK0H7ceDvhv2wH0f146RzcWg/Vn0eOO18nPT5xtfA6Ppx2vnweRt5H445F4v7sW23GTM5emYYLKCVyP0sh7N+N+yH/TitHyv6YD+jZ9XnwXI463yc9PnG18DoLIezzofP28gth3POxcp+lsOa581aMgEWLpv1H1hAK2H7ceDvhv2wH0f146RzcWg/Vn0eOO18nPT5xtcAz4fPW4qfixNfA1b/5/Q0aUcV0BJCuAGcAGAfAPkAmgF8BOBpI/u3oh8H/m7YD/txVD9OOheH9mPV54HTzsdJn298DYyuH6edD5+3kffhmHOxuB9bCwabxenBsNNehPcD+BLA6wBaAOQCOAzAPNm7r2Wy9OPA3w37YT+O6sdJ5+LQfqz6PHDa+Tjp842vgdH147Tz4fM28j4ccy4W92PJ82Y1pwfDTnsRvivjLFAfqD2R+3Hg74b9sB9H9eOkc3FoP1Z9HjjtfJz0+cbXwOj6cdr58HkbeR+OOReL+7HkebOa0wtoTZZSnq1p+1wI8W6S9vOMEOI5AG8BaEXPi/BAAM8kYT9O+92wH/bjtH6cdC5O7MeqzwOnnY+TPt/4Ghgdp50Pn7eRc9K5WNmPVc+bpZweDDvqRSil/IsQ4mMAc3r72QrgXgDxSp0nej+O+t2wH/bjwH6cdC6O68eqzwM47Hyc9PnG18CoOep8+LyNipPOxXGvAas5Ok0aAIQQB6DnxdGMnl/cUgBTpZQfJ1s/Qoi/AigBEAIwDsD5UsrtQog3pJSHJGE/jvndsB/248R+nHQuTuvHqvfp3r4ccz5O+nzja2BMfTnmfPi8jbofJ52Lo14DVnP0zPAgL45HAVjxIjS0HwB7SCkP6O1zVwCPCyGuNvDxLevHab8b9sN+nNaPk87Fif3Aos8Dp52PFf047Tnj+YyaY17TvY/tmOfNSediZT8WPm/Wkgmwv5NZ/wF4J+bfu6JnWn8hgDeStJ/3AfhijgsAPA+gLtn6ceDvhv2wH0f146RzcWg/Vn0eOO18nPT5xtcAz4fPW4qfixNfA1b/Z/sATD05570I9wRQomlzAzgt2fpx4O+G/bAfR/XjpHNxaD9WfR447Xyc9PnG1wDPh89bip+LE18DVv9n+wBMPTmHvQid9J/Tfjfsh/04rR8nnYsT+7HqP6edD58zno/TzofPW2qfC5+3sf/n+AJaRERERERERFouuwdAREREREREZDUGw0RERERERJRyGAwTERERERFRymEwTERERERERCnn/wFDR5+vS1KpXAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "result = df.groupby('Month_Year').sum()\n",
    "months = [month for month, df in df.groupby('Month_Year')]\n",
    "plt.figure(figsize=(15,5))\n",
    "plt.plot(months, result['Sales'], color= \"#b80045\")\n",
    "plt.xticks(months, rotation='vertical', size= 8)\n",
    "#plt.ylabel('Sales in (USD)')\n",
    "#plt.xlabel('Months')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "north-commission",
   "metadata": {},
   "source": [
    "### Which are the Top 10 products by sales?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "framed-logic",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>OrderQuantity</th>\n",
       "      <th>Sales</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>product</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Mountain-200 Black, 38</th>\n",
       "      <td>2395</td>\n",
       "      <td>3,105,726.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mountain-200 Black, 42</th>\n",
       "      <td>2050</td>\n",
       "      <td>2,646,352.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mountain-200 Silver, 38</th>\n",
       "      <td>1798</td>\n",
       "      <td>2,354,215.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mountain-200 Silver, 42</th>\n",
       "      <td>1674</td>\n",
       "      <td>2,181,044.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mountain-200 Silver, 46</th>\n",
       "      <td>1636</td>\n",
       "      <td>2,133,156.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mountain-200 Black, 46</th>\n",
       "      <td>1491</td>\n",
       "      <td>1,936,203.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Road-250 Black, 44</th>\n",
       "      <td>1371</td>\n",
       "      <td>1,888,480.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Road-250 Black, 48</th>\n",
       "      <td>1200</td>\n",
       "      <td>1,656,449.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Road-350-W Yellow, 48</th>\n",
       "      <td>1390</td>\n",
       "      <td>1,380,253.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Touring-1000 Blue, 60</th>\n",
       "      <td>973</td>\n",
       "      <td>1,370,784.22</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         OrderQuantity        Sales\n",
       "product                                            \n",
       "Mountain-200 Black, 38            2395 3,105,726.66\n",
       "Mountain-200 Black, 42            2050 2,646,352.67\n",
       "Mountain-200 Silver, 38           1798 2,354,215.23\n",
       "Mountain-200 Silver, 42           1674 2,181,044.29\n",
       "Mountain-200 Silver, 46           1636 2,133,156.84\n",
       "Mountain-200 Black, 46            1491 1,936,203.67\n",
       "Road-250 Black, 44                1371 1,888,480.05\n",
       "Road-250 Black, 48                1200 1,656,449.69\n",
       "Road-350-W Yellow, 48             1390 1,380,253.88\n",
       "Touring-1000 Blue, 60              973 1,370,784.22"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prod_sales = df.groupby('product').sum()[['OrderQuantity', 'Sales']]\n",
    "prod_sales.sort_values(by=['Sales'], inplace=True, ascending=False)\n",
    "# get top ten \n",
    "pd.options.display.float_format = '{:,.2f}'.format\n",
    "top_prods = prod_sales.head(10)\n",
    "top_prods"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "centered-tourist",
   "metadata": {},
   "source": [
    "### Montly Sales Comparison same period last year."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "incorporate-omaha",
   "metadata": {},
   "outputs": [],
   "source": [
    "ndf = df[['OrderDate', 'Sales']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "green-allergy",
   "metadata": {},
   "outputs": [],
   "source": [
    "#add continous date to dataframe to calculate sameperiod last year data\n",
    "new_df = ndf.groupby('OrderDate').sum().reset_index()\n",
    "new_df = new_df.drop_duplicates('OrderDate').set_index('OrderDate').asfreq('D', fill_value=0)\n",
    "new_df = new_df.sort_index().reset_index()\n",
    "#new_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "diverse-carolina",
   "metadata": {},
   "outputs": [],
   "source": [
    "new_df['Previous'] = new_df.groupby([new_df['OrderDate'].dt.month,new_df['OrderDate'].dt.day])['Sales'].shift()\n",
    "#new_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ordinary-plenty",
   "metadata": {},
   "outputs": [],
   "source": [
    "new_df['Month_Year'] = new_df['OrderDate'].apply(lambda x: x.strftime('%Y-%m'))\n",
    "#new_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "grave-password",
   "metadata": {},
   "outputs": [],
   "source": [
    "new_df = new_df.groupby('Month_Year').sum()[['Sales','Previous']]\n",
    "#new_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "hydraulic-satellite",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Sales')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use('ggplot')\n",
    "new_df.plot(kind=\"bar\",figsize=(15,5))\n",
    "plt.xlabel('Month Year')\n",
    "plt.ylabel('Sales')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "tutorial-migration",
   "metadata": {},
   "source": [
    "### 100 Stacked chart by Country and Category"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "secret-monday",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_chart = df.groupby(['Country','productcategory']).sum()['Sales'].reset_index()\n",
    "df_chart = pd.DataFrame(df_chart)\n",
    "#df_chart.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "varied-christian",
   "metadata": {},
   "outputs": [],
   "source": [
    "cumsum = df_chart.groupby('Country').sum().groupby('Country').cumsum().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "urban-latvia",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_combined = pd.merge(df_chart, cumsum, on='Country')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "nominated-service",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_combined['sales_pr'] = df_combined['Sales_x'] /df_combined['Sales_y']\n",
    "df_combined.drop(['Sales_x', 'Sales_y'] , axis=1, inplace=True)\n",
    "#df_combined.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "smart-growing",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfp = pd.pivot_table(df_combined, values=\"sales_pr\", index=[\"Country\"], columns='productcategory').reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "empty-budapest",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dfp.plot(\n",
    "x = \"Country\",\n",
    "kind=\"barh\",\n",
    "stacked= True,\n",
    "figsize=(15,5),\n",
    "  color=[\"orange\", \"royalblue\", \"lightskyblue\", \"purple\"],\n",
    "    title= \"Sales distribution by Category\",\n",
    "    mark_right= True\n",
    ")\n",
    "plt.legend(bbox_to_anchor=(1.0, 1.0))\n",
    "#\n",
    "df_total = dfp[\"Accessories\"] + dfp[\"Bikes\"] + dfp[\"Clothing\"] + dfp[\"Components\"] \n",
    "df_rel = dfp[dfp.columns[1:]].div(df_total, 0) * 100\n",
    "#\n",
    "for n in df_rel: \n",
    "    for i, (cs, ab, pc) in enumerate(zip(dfp.iloc[:, 1:].cumsum(1)[n],  \n",
    "                                         dfp[n], df_rel[n])): \n",
    "        plt.text(cs - ab / 2, i, str(np.round(pc, 1)) + '%',  \n",
    "                 va = 'center', ha = 'center',  fontsize = 8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "general-organ",
   "metadata": {},
   "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": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}