python-pour-finance/04-Visualisation-Matplotlib.../04-02-Pandas Visualisation/.ipynb_checkpoints/Visualizing Time Series Dat...

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Visualizing Time Series Data\n",
"\n",
"Let's go through a few key points of creatng nice time visualizations!"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"%matplotlib inline\n",
"\n",
"# Optional for interactive\n",
"# %matplotlib notebook (watch video for full details)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"mcdon = pd.read_csv('mcdonalds.csv',index_col='Date',parse_dates=True)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Adj. Close</th>\n",
" <th>Adj. Volume</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Date</th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1970-01-02</th>\n",
" <td>0.209761</td>\n",
" <td>2825604.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1970-01-05</th>\n",
" <td>0.213316</td>\n",
" <td>2210449.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1970-01-06</th>\n",
" <td>0.214501</td>\n",
" <td>1951168.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1970-01-07</th>\n",
" <td>0.213316</td>\n",
" <td>2728768.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1970-01-08</th>\n",
" <td>0.213316</td>\n",
" <td>2242404.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Adj. Close Adj. Volume\n",
"Date \n",
"1970-01-02 0.209761 2825604.0\n",
"1970-01-05 0.213316 2210449.5\n",
"1970-01-06 0.214501 1951168.5\n",
"1970-01-07 0.213316 2728768.5\n",
"1970-01-08 0.213316 2242404.0"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"mcdon.head()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x1955bcbea58>"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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p10qpvYJeUE1IDQ/L/AIc4XreyJnm1hEYKfbgHwycIyIlxpix7oWMMUOBoQAdO3Z0/Rzr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\nrkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x19558d8f5c0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Not Good!\n",
"mcdon.plot()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x1955be47e48>"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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cv185hQUt32YSiRinThia1t9DJJOU6KXT1UVjFLWSRFtSWx/j+aUbWPdxDT98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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1955c1bc1d0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"mcdon['Adj. Close'].plot()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x1955c3eb908>"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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MFzd+cSFd7xxSb2q2QEncy6QC+949lCUFW+k3egmXvzkp4ixAs+P0Aoh1s0tk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\ngyy5G2NMDrLkbowxOciSuzHG5KD/B83/m6lmmrogAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1955c2be908>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"mcdon['Adj. Volume'].plot()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x1955c3eb860>"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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kJDnm+BUAAACIgfd/MDts++p7zu7YQhAWIRkAAKAD7Dtaoa886R01njKkp4b0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\nEZEG/w9HM9gI8ITdiAAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1955c518198>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"mcdon['Adj. Close'].plot(figsize=(12,8))"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.text.Text at 0x1955c59b128>"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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G/1rH/Dsk3RGveAAAAND6BZZ89O+aow5Z6XXOCTRtZOgqd0Mls1sIAAAAEFOBiXNaikmS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\njB4AAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1955c3e5470>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"mcdon['Adj. Close'].plot(figsize=(12,8))\n",
"plt.ylabel('Close Price')\n",
"plt.xlabel('Overwrite Date Index')\n",
"plt.title('Mcdonalds')"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x1955c2eaef0>"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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jAQAAgIAcTt/zQJuDNBSSR/fNCvnzm1xl2Vp7WYDmvzbS/z5J94VSFAAAADo276kUA7ql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\nIiIiIlLl/wELTA0l8Fm/vgAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1955c19a518>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"mcdon['Adj. Close'].plot(figsize=(12,8),title='Pandas Title')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Plot Formatting"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## X Limits"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x1955d7bb3c8>"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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38TGs2b6XsvU1pKfB1JJ+TB9RkJQnHBMRiddjikSqzm4SEUmk9hYJrfKKiEgk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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1955c3b2080>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"mcdon['Adj. Close'].plot(xlim=['2007-01-01','2009-01-01'])"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x1955dbe0e80>"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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US0V9C9dMHkRiVCgNrXY+uWcGOamHV095Z/1+tpTU9fn7+uunxuY6eYU13Zx5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\nYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1955da066d8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"mcdon['Adj. Close'].plot(xlim=['2007-01-01','2009-01-01'],ylim=[0,50])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Color and Style"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x1955dbeb1d0>"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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ENtpv15l2de12Y6narYHZsmi3McR27JFEEZgADM9Ju6XNlud2K862MbFJ6upS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\nRVZzVXa9AAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1955c552d68>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"mcdon['Adj. Close'].plot(xlim=['2007-01-01','2007-05-01'],ylim=[0,40],ls='--',c='r')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## X Ticks\n",
"\n",
"This is where you will need the power of matplotlib to do heavy lifting if you want some serious customization!"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt \n",
"import matplotlib.dates as dates"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x1955df6f780>"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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1s68AC4E5wLHhL3gLwVpFO/Ab4CTg68CJvLXWkYp8yeP2IPBdM5vj7r1JrzzH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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1955c4b33c8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"mcdon['Adj. Close'].plot(xlim=['2007-01-01','2007-05-01'],ylim=[0,40])"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"idx = mcdon.loc['2007-01-01':'2007-05-01'].index\n",
"stock = mcdon.loc['2007-01-01':'2007-05-01']['Adj. Close']"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"DatetimeIndex(['2007-01-03', '2007-01-04', '2007-01-05', '2007-01-08',\n",
" '2007-01-09', '2007-01-10', '2007-01-11', '2007-01-12',\n",
" '2007-01-16', '2007-01-17', '2007-01-18', '2007-01-19',\n",
" '2007-01-22', '2007-01-23', '2007-01-24', '2007-01-25',\n",
" '2007-01-26', '2007-01-29', '2007-01-30', '2007-01-31',\n",
" '2007-02-01', '2007-02-02', '2007-02-05', '2007-02-06',\n",
" '2007-02-07', '2007-02-08', '2007-02-09', '2007-02-12',\n",
" '2007-02-13', '2007-02-14', '2007-02-15', '2007-02-16',\n",
" '2007-02-20', '2007-02-21', '2007-02-22', '2007-02-23',\n",
" '2007-02-26', '2007-02-27', '2007-02-28', '2007-03-01',\n",
" '2007-03-02', '2007-03-05', '2007-03-06', '2007-03-07',\n",
" '2007-03-08', '2007-03-09', '2007-03-12', '2007-03-13',\n",
" '2007-03-14', '2007-03-15', '2007-03-16', '2007-03-19',\n",
" '2007-03-20', '2007-03-21', '2007-03-22', '2007-03-23',\n",
" '2007-03-26', '2007-03-27', '2007-03-28', '2007-03-29',\n",
" '2007-03-30', '2007-04-02', '2007-04-03', '2007-04-04',\n",
" '2007-04-05', '2007-04-09', '2007-04-10', '2007-04-11',\n",
" '2007-04-12', '2007-04-13', '2007-04-16', '2007-04-17',\n",
" '2007-04-18', '2007-04-19', '2007-04-20', '2007-04-23',\n",
" '2007-04-24', '2007-04-25', '2007-04-26', '2007-04-27',\n",
" '2007-04-30', '2007-05-01'],\n",
" dtype='datetime64[ns]', name='Date', freq=None)"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"idx"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Date\n",
"2007-01-03 31.662754\n",
"2007-01-04 31.424580\n",
"2007-01-05 31.424580\n",
"2007-01-08 31.547276\n",
"2007-01-09 31.605015\n",
"2007-01-10 31.944233\n",
"2007-01-11 32.124668\n",
"2007-01-12 31.915364\n",
"2007-01-16 32.167973\n",
"2007-01-17 32.377277\n",
"2007-01-18 32.182407\n",
"2007-01-19 32.341190\n",
"2007-01-22 32.009190\n",
"2007-01-23 32.370060\n",
"2007-01-24 31.872059\n",
"2007-01-25 31.034840\n",
"2007-01-26 30.984318\n",
"2007-01-29 31.200840\n",
"2007-01-30 31.590580\n",
"2007-01-31 32.009190\n",
"2007-02-01 32.103016\n",
"2007-02-02 32.146320\n",
"2007-02-05 32.139103\n",
"2007-02-06 32.312321\n",
"2007-02-07 32.276234\n",
"2007-02-08 32.009190\n",
"2007-02-09 32.160755\n",
"2007-02-12 32.283451\n",
"2007-02-13 32.406147\n",
"2007-02-14 32.492756\n",
" ... \n",
"2007-03-20 31.980320\n",
"2007-03-21 32.196842\n",
"2007-03-22 32.110233\n",
"2007-03-23 32.514408\n",
"2007-03-26 32.564930\n",
"2007-03-27 32.507191\n",
"2007-03-28 32.355625\n",
"2007-03-29 32.384495\n",
"2007-03-30 32.514408\n",
"2007-04-02 32.348408\n",
"2007-04-03 32.665974\n",
"2007-04-04 32.644321\n",
"2007-04-05 33.041279\n",
"2007-04-09 33.553714\n",
"2007-04-10 33.423801\n",
"2007-04-11 33.517627\n",
"2007-04-12 33.654758\n",
"2007-04-13 34.383716\n",
"2007-04-16 34.715717\n",
"2007-04-17 35.372500\n",
"2007-04-18 35.278674\n",
"2007-04-19 35.206500\n",
"2007-04-20 34.903369\n",
"2007-04-23 35.105456\n",
"2007-04-24 34.982761\n",
"2007-04-25 35.098239\n",
"2007-04-26 35.531283\n",
"2007-04-27 35.329196\n",
"2007-04-30 34.845630\n",
"2007-05-01 35.466327\n",
"Name: Adj. Close, Length: 82, dtype: float64"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"stock"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
" ## Basic matplotlib plot"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
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kpaObemsXU0fQviREX9LGZKAPD9QRG2lm+ZQ02jp7UGoP7+6roaPLQYRJccWi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\n93oAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1955dfc2a20>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots()\n",
"ax.plot_date(idx, stock,'-')\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Fix the overlap!"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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KHaWlvYPfvrmbeWPSOGdGdufj1502kYykWD4/fyTLFowKYYSRTVtMSil1lCfXFFJc08TP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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1955e17c8d0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots()\n",
"ax.plot_date(idx, stock,'-')\n",
"\n",
"fig.autofmt_xdate() # Auto fixes the overlap!\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Customize grid"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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vqWtuo6CqiVEDE/BofB4wEUgvbyhgYs4Apg1J5vI5Q7l8zlC2FtTQ2Nr5/5NX\nc5ubh9/PY/HDq9laUMN9F0/mXzcuICEERlelxEVRa8Ph4v9Ye4SfvLo94PvdV+bsdTee6N+kMAXQ\nqp0lKAXnTcwC4CvTBuH2aO5/ew8j0uM5y1wS/MIp2Zw5diCv7mulvL7lpN+zp9jou79gsjGd/xGb\nDYDYXVzHtsJaLp8zpH2W6Hmj0nB5NJuO1HT5uk/2lbPk/1bzyAf7uHBqNh/cdjbL5o/ocjJPu/F2\n5fXleprVyutbuP/t3azcdjSg+9Vas7+0nrE9vD4kBEhhCqhVO0uYMzy1fcTdhOwkRmck0Or2cPW8\n4TgcxxYzu+drk2l1wwPvnjwQwnutZvFko8DZ7TrTSxsKiI5wcMmMwe2PzRmRRoRDsfZg5Unbl9U3\n84N/bmbZ0+tRSvHc9XN55MqZZCZ1PjTYrlLio3B5NA2tnc/dFgyP5+6nsdVNfbPL712+v121l8v/\n9DnNbW6Ka5tpaHX3aMYHIbykMAXIjqJa9pTUs3jysUXLlFJcNmcoyXFRXDZ76HHbj85IZMmIKF7Z\nWMjGI8cPhNhdXEdKfBTTh6QQHemgwEaFqcXl5vXNRZw/Keu4CTsTYyKZMjiZdYeOL0wr1ufzpd9+\nzLs7Srj1vLG8c8uZnDF2YKBjW8Ju8+UVVDXy/Loj7bmq/Thi0OPRrPiigPWHq7j7jZ3tUxH1dqi4\n6N/s33EfBnYU1XLNX9eTkRRz0r0Vy88cxbJ5wzu9hvK10VFsqorgZ6/v5M2bFxIZYZxH7C6uY2L2\nABwOxdDUuIC1mD7ZV84TuQdwezQxUQ6ctc28WryZ2CgHsVERxEZFUOlspbqxjcvmDDnp9fNGpvHX\nTw/R1OomLjqC3cV13PnqduaNSuPXS6fabpqhnkqOMwpxTWMrg1PigpwGHn4/D4dSfP/cMfzy37up\naWzzWyt0S2ENFc4Wpg1J5sUNBeSV9WzyViE6khZTDz31yUHuf3u3z9tvPFLNN/6ylthIBy99dz6Z\nA47/YHA4VJcX9mMiFT/7yiR2Fdfx/Lp8wLhBd29pPRNzBgAwLC3e74WptrGN21/eyrKn11NY04jD\nAfXNLiqaNNsKa1idV8GbW4/y7GeH+demQsZmJnLm2JPvIZk3Kp02t2ZTfjUAz3x6iLioCP509eyQ\nL0pgrxbT3pJ6XttSxLULRzDJ/FupavBfi+n9XaVEOhTPXnc6C0anszm/hvSEaNKCtKKwCG3SYuqB\nFpebRz9H4NhrAAAgAElEQVTcT0OLi++dM6bbYbCf7a/gO3/fQGZSDM//97xenUVfOCWbM8YM5Lfv\n7eWiaTnUNLbR3OZhYo5xJjosLZ4Nh6vRWluyHPWJimubWPr4Z5Q7W/jeOaP5wZfGtq8a+tFHH3HO\nOecct73WGq1pv17W0ZwRqTgUrDtYyfjsJF7fcpTL5wxpX8so1LWvYmuDkXkPrdpLYkwkN549mqM1\nxkSo1X4sTP/ZVcrpI9NITYjmkStn8pVHP2GctJZEL0lh6oHcPWXtZ8Mf7Ck9bjqhE324p5QbntvE\niPR4nrt+7kktJV95B0Jc+MhqHnhnT/vd7N4W09C0eOpbXNQ2tVn+Ae/xaG57eSt1zW28euMCn5YQ\nUErRVX1Mio1iyuBk1h6sIjLCQavLw7UL7H9/kq9SzeNf6ccC4IuNR6r4z+5Sbl88npT4aJrbjEEP\nVX66xnS4ooF9ZU6+OXcYABlJMbz1/TNw+OFESfQPlnXlKaVilVLrlVJblVI7lVL3mo8/pJTao5Ta\nppR6TSkVsjMrvrKxiIykGLIGxLTP2NCZf28rZvnfNzI+K4kXl5/cfddTYzITuf6MUby8sZB/rs8n\n0qHa7w8ZlmYsAeCP7ryn1xzi0/2V3P3VSZatazNvVDpbCmr4++dHOGd8RliN2spIiiHCoSipbQ5a\nBq01D7y7l4GJMVy3cATg/yU5/rPbmPvRexsEGMtR2H2mDmFfVl5jagHO1VpPB2YAS5RS84D3gSla\n62lAHvATC/cZMJXOFj7aW8bSmYO5YFI2H+eV09TJsOCXNxTw/X9uYuawFJ7/77mnXEq6J75/7hhy\nkmP57EAlYzIT21drHZbun8K062gdD63ay+LJWVw+Z2j3L/DR3JFptLo9VDhb+PbC8GktgTHDePaA\nWIqCeMPzx3nlrD9UxS1fGkN8tNEhEhsVQUJ0hN+uMb2/q5QJ2UkMTYvvfmMhfGBZYdIGp/ljlPml\ntdbvaa29t/uvBbru/7Kxt7YexeXRXDprMIsnZ9Pc5mH1vvLjtvn754e5/ZVtLBwzkGe/fToDYq2b\niiUhJpK7zFVavd14AEPNRdOsvMlWa83/vLSFlPgo7r90mqXXruaMSMOhjFbgmSE6LPxUBqfGUVQd\nnMLk8WgefHcvw9LiueK0Ycc9l5oQ7ZdrTNUNrWw4Us35k7K631gIHykr71JXSkUAG4ExwONa6ztO\neP4t4EWt9XOdvHY5sBwgKytr9ooVKyzL1RWn00liom9dSfd+1oRbwy8WxuHyaG7JbWRGRiT/Pc3o\nrvj3wVZezmtjZmYEN06PITqi7x/mJ+bTWvPWwTYmpUcwJiWi/fEffNjAjMxIvj3Fmq6TmhYPt+Y2\n8Y0J0Swe0XVx7cnx6+jdQ20MH+BgYnpE9xv3UW8z9taftzWTV+Xhd+f41nqwMt/aYhd/2trC8mkx\nLBh0/OXjez5rYkC04n/m9Lxb+VQZPy1q4y/bW/n5/FhGJfv//exMoN/jnrJ7PghMxkWLFm3UWs/x\naWNjFJW1X0AKkIvRhed97KfAa5jF8FRfs2fP1oGQm5vr03Z5JXV6+B0r9V9WH2h/7IcvbtbT7lml\nW11u/dtVe/TwO1bq77+wSbe63AHPd8nja/Q3nvzcsv1+ur9cD79jpf4kr/yU2/maL5gCnfGhd/fo\nUT/5t27z8e/AqnytLrc+68EP9eKHP9Zut+ek55c9vU5/7bE1vfrdp8r4o5e26Fm/eK/TfQaK3f8O\n7Z5P68BkBDZoH2uIX+5j0lrXmIVpCYBS6lrgK8BVZsCQ8tbWo0Q4FF+bcezm2MWTs6ltauO6Z77g\n0Q/3c+VpQ3n4ihlERQT+1rDhFt/LdKC8AYDRmfZdlM+uBqXE4fZoyjqZ49CfXvyigCOVjfx4yfhO\nh+qnxUf5pStva0EN04emdLpPIXrLylF5Gd4Rd0qpOOB8YI9SagnwY+BrWmv7zJ3TA5vya5iYk3Tc\nXfNnjc0gNsrBmv0VXLdwBPdfOjVok40OS4u3dPmLA2VOEqIjyO7jaML+aHCqca9aIAdANLW6+cMH\n+zhtRCqLxmd2uo0/rjE5W1zsL3cybUiypb9XCCvvY8oBnjWvMzmAl7TWK5VS+4EY4H3zIvparfUN\nFu7Xr7TW7Dhay5IOc9wBxEVHcOeSCbg1fHvhCL/c3OqroWnx7ctfDE/veytnf5mT0ZmJQf1/ClXe\nm6gDuRTJ3z47TFl9C49fNavL9ywtPpr6FhetLg/Rkdacj24vrEVrLLuVQAgvywqT1nobMLOTx8dY\ntY9gKKppoqaxjcmDTz4rvNYmw5299zIdqWy0pDAdKHcyf1R6n39PfzQoxWhlFgZoZF5tUxt//Gg/\n507I5LQRaV1ul5JwbB6/vt5X57Wt0FjCZPoQKUzCWjJXXjd2FBlLTEwZNKCbLYMny/yg6Wztpp5y\ntrgorm1mdBjd+BpI8dGRpCVEB6zF9Mm+cuqaXXzvnNGn3C7NnJWi2sKbbLcW1jA0LU7mwxOWk8LU\njZ1Ha4lwqOPuHbKbtETvh07fryEcLDduRRsdBpOqBsuglONvst1SUMNZD+ZacuJwoj3F9UQ4FFM6\nadF3lJpgDPu38ibbrQW1TJPWkvADKUzd2FFUy9jMxPaJS+0oKSaSSIey5ENnv7mOTjhNFRRog1OO\nv8n2vZ0l5Fc1nrQWlRX2lNQxamBCt3+f3laNVWsyVThbKKppYoYUJuEHUpi6seNoHZMH2XvUkVKK\n1IRoywpTpEMxPF2ml+mtQSlxHK1pal9ifeMRY5mPrQVdLyvfW7uL65ngQ2ve25VnVYvJe31JRuQJ\nf5DCdApldc2U17cwZbB9u/G80uKtKUwHyp0MT48Pyv1Y4WJwShwNrW5qm9poc3vYVlgLGF16Vqpr\nbqOopql9CZRT8c48X2NRi2lrQS0ORbddiEL0hix7cQo7jhofKKHwjy8tIdqSbpr9ZU7pxusj75Dx\nopomPB5oanOTkxzL9qJa2twey4r+3hJjldiJ2d2fOEVHOkiMiaSqwZrBD1sLaxibmdTlIpdC9IWc\nFp/CjqI6lMLWAx+80izoymtzezhS2SgDH/qo/Sbb6qb21Xq/tWAEzW0e8krrLdvPnmJjxOgEH1pM\nYAyAsOLkRWvNtsJa6cYTfiOF6RS2F9UycmACiSFwVpiaENXnwnSkshGXR0uLqY863mS78Ug12QNi\nuXCKcYO2ld15u4rrSY6L8nmGDqu6ewurm6hqaJUba4XfhGVhuuv17dzz5s4+/56dRbVMsfnAB6+0\nhBhqmtpwe3o/FaF3RJ60mPomLSGa2CgHRTVGi2nW8BSGpcWTlhDNlnzrCtOekjomZCf5PENHqkXd\nvV8crgLkxlrhP2FZmOqbXazcdhRPHz6kK50tHK1tDomBD2BM0qk17Uu/98YB7z1M0mLqE6UUg1Li\n2JxfQ2F1E7OGpaKUYvqQZLYWWlOYPB7N3pL6HnUzp8b3vTDVNLby4Lt7GZWR4HMXohA9FZaF6exx\nGVQ4W9ll9sH3xs6j3hkfQqPF5F0pt6qh9zdxHihzkpMcGxJdl3Y3OCWODeYw8VnDUwGYMTSVfWVO\n6pv7PgChoLqRxlY3E7J9Lw6p8dFU92Hwg9aan762gwpnC49cMVNGbgq/Ccu/rDPHZgCctMKsryqd\nLfz+/TyiIlSnc+TZUVp7Yer9B8/+cqd041nEe50pOsLBZHM6qxnDUtDamPy0r3YXmyPyetBiSkuI\nwtniosXl7tU+/7WpiH9vL+Z/LhjHVBn4IPwoLAtTRlIMk3IG8PHenhemg+VOLv3jZ+wuruPRb8wk\nOc665dH96Vhh6l1XjcejZai4hQaZhWnqkGRiIo1ZGaabH+abLRgAsafEGDE6LqsHLab2iVx7fvKS\nX9nI3W/s4PSRaXz3rFPPyydEX4VlYQI4e3wGG49U42xx+bS91pp3dxRz6R8/w9ns4p/L57FkSo6f\nU1qnr4WpqKaJxlZ3jz7oRNe8LaZZw44NEEiJj2bkwARLZoDYU1zPyPQE4qJ9nyrr2ESuPfsbcXs0\nt764GYdD8fAVM4K27pjoP8K2MJ01NgOXR/P5ge7nJyuoauT6Zzdww3ObyEmO49XvLWDWsNQApLRO\nai8/dLy899eMz5YWkxVGDDSmdJpzwlIUM4amsKWghr4u5LynpK7Hgw9Sejkt0cqDbWzKr+GXl0xp\nL7hC+FPYFqbZw1NJiI7g47yyLrdxeTRPfLSf8x/+mLUHK7nroom8dfNCS9Y0CrTYqAgSoiN63WLK\nK/VO3iotJivMGpbK89+Zy/kTs457fM6IVMrqW9hT0vsbbRtaXBypamSCDzM+dNQ+kWtDG1pr7nhl\nG3/++MApX7Mpv5o3DrRxyYxBXDxjcK8zC9ETYTv8KjrSwfzRA1mdV9Hp8+sOVvLzz5o46tzLksnZ\n/Pyrk9qvC4SqviyfnVdaT05ybMhcU7M7pRQLxww86fELp+Rw9xs7eW1zUa9nFMkrrUdrGN+DEXnQ\nYemLxlY+zivnxQ0FxEQ6uGTm4PY1vTpytrj44YtbSI1R/OKSKb3KKkRvhG2LCeDscQPJr2rkcEVD\n+2NVDa3c/vJWrnhyLS0uePpbc/jTstkhX5TAOCOu7ENhGivXl/wuLSGac8Zn8saWol7fDL3PbN2O\n7+H75e3urXK28pt39pA9IBa3R/N47v5Ot//FWzspqGrku9NjGBArJywicMK2xQRw1jhj2PgfPtzH\nzKEp1DW7+MsnB3E2u7jxnNHMiCrmSyd0tYSy3t5A6TZH5C0YLcupB8Klswbzn92lfHag89Z8d/aW\n1hMb5WBoWs+WJomKcJAUE8mLX+RztLaZR66cwdqDlaxYX8B3zx593PWjd7YX89KGQm5eNIZxMcW9\nyilEb4V1i2l4egKTcgbw6qYifvbGTh5atZdxmUm8fcuZ3LFkAjER4TW6KL2XE7nmVzXS4vJIiylA\nzp2QSVJsJK9tKurV6/NK6xmTmdir0XGpCdHtM5p8ddogbj53LACPfXis1VRS28ydr25n+pBkbjlv\nbK8yCtEXYd1iAnj9poXUmXfaO5QiNT7K57nFQk1vFwv0Lp/Q064h0TuxURFcNDWHN7ceZXF6TI9f\nn1da3+n1K1+kJkSTX9XInUsm4nAoBqfEceXpQ3lhXT5zR6ZR3+LitU2FtLo8PHzFDJndQQRF2Bem\n6EgHAxN7/o8/FKUlRNPY6qa5zd2jpeC9Q8XHZslQ8UBZOnMwK74oYGOZm8U9eF1tYxuldS29PomY\nNyqNkenxnDH2WGG7adEYXtpQwK0vbgGMfzO/uXQqo2QWEBEkYV+Y+pP24cCNreQk+z6YI6+0nqFp\nccRHy59DoJw2Io3BKXF8drRnLdy8MuMkorc3Qv/kwoknPZY1IJaV3z+ThhYXOcmxpCfGyE20Iqik\nnR5GUnt5A2Veab104wWYw6FYOnMwOyvclNU1+/w6b7fruB4OFe/OmMxEpg9NIXNArBQlEXRSmMJI\nb6YlanV5OFjeIAMfgmDprMFo4M2tR31+TV5pPYkxkQxK9m1xQCFCkRSmMNKbwnS4sgGXR0uLKQhG\nZyQyMtnBqz0YnWfcb5YYtgN4hAApTGHl2JQzvhcmGfgQXAsGRbKruK69i647eaVOxsm0USLMSWEK\nI8lxUSjVsxZTXkk9DiXLqQfL3JxIIh2KVzcXdrtthbOFqoZWy68vCWE3UpjCSIRDkRIXRVUPZn/Y\nXlTLiPSEHg0vF9YZEK04e1wGb2w+2u0URXlyv5noJ6QwhZm0BN+Xz356zSFy95ZzweRsP6cSp7J0\n1mBK6ppZe/DUS7TsLfUOFZfWrQhvUpjCTJqPsz+8uqmQ+1bu4sIp2dy+eHwAkomunDcxi6SYyG4H\nQeSVOkmJjyIjqX/cMC76LylMYSY1vvvC9OGeUm5/ZRsLRqfzf1fKiqTBFhsVwYVTs3l3RzFNre4u\nt8srrWdcZpKMyBNhTwpTmElPjD7lNaYvDldx43ObmDxoAE9eM4eYSLm2ZAdLZw6hodXNe7tKjnv8\nmU8Pcccr27jjlW3sOlrHOFlhWPQDMgdNmEmNNxYL1FqfdGa9u7iOb//tCwanxvHMtaeRGCNvv13M\nHWlMUfTa5qL2lWJ3Ha3j3rd2kRofRUxkBGkJ0ZwXRsu0CNEV+WQKM2kJ0bg8mrpm13Gr0eZXNnLN\nX9eTGBPJP66fS3o/mdg2VDgciotnDOLPqw9SXt9CRlIMj3+0n8SYSD66bRHJ8bJQn+g/LOvKU0rF\nKqXWK6W2KqV2KqXuNR+/zPzZo5SaY9X+ROe88+VVOFvaHyurb+bqp9fR5vbwj+tPP25BOGEfl84a\njNujeXPrUfaXOXl7ezHXzB8uRUn0O1ZeY2oBztVaTwdmAEuUUvOAHcClwGoL9yW6MCEnCaXgxuc2\nsr/MSW1TG9c8vZ4KZwvPXHsaY2TWANsak5nE1MHJvLa5kCc+2k9MpIPrzxgZ7FhCBJxlhUkbnOaP\nUeaX1lrv1lrvtWo/4tQmD0rm798+nQpnK197bA1XPrmWA+VO/nT1bGYOSw12PNGNpTMHs6Oojtc3\nF3HV3OHS5Sr6JaX1qe8279EvUyoC2AiMAR7XWt/R4bmPgNu01hu6eO1yYDlAVlbW7BUrVliWqytO\np5PERPuOcupLvupmD09saWF/jYcbp8dweo71lxPtfvzA/hlPzFfbovnhR404gIfOjiM1NvgDZ0Pt\nGNqN3fNBYDIuWrRoo9bat8s5WmvLv4AUIBeY0uGxj4A5vrx+9uzZOhByc3MDsp/e6mu+NpdbF1U3\nWhOmE3Y/flrbP2Nn+X799i79eO6+wIfpQigeQzuxez6tA5MR2KB9rCF+GZWnta5RSuUCSzCuMYkg\niIxwMEgGOoSczlaZFaI/sXJUXoZSKsX8Pg44H9hj1e8XQgjRP1jZgZ0D5CqltgFfAO9rrVcqpZYq\npQqB+cC/lVKrLNynEEKIMGNZV57Wehsws5PHXwNes2o/Qgghwlvwh/wIIYQQHUhhEkIIYStSmIQQ\nQtiKFCYhhBC2IoVJCCGErVg6JZFVlFLlwJEA7GogUBGA/fSW5Os7u2e0ez6wf0bJ13eByDhca53h\ny4a2LEyBopTaoH2duykIJF/f2T2j3fOB/TNKvr6zW0bpyhNCCGErUpiEEELYSn8vTE8GO0A3JF/f\n2T2j3fOB/TNKvr6zVcZ+fY1JCCGE/fT3FpMQQgibkcIkhBDCVqQwiZCnlIoKdoZQJ8dQ2EnYFiZl\n+JVS6pxgZ+mKUmqCUio+2DlORSk1TSmVGOwcnTHf43uAW70/BzfRyex8/CBkjmGE+V/bZfNSSl2q\nlEoPdo7OmO/xRUqpzGBn8VVYFial1ExgPTARyLfb2aBSaolSqgR4AHhRKTUw2JlOpJS6ylz08V6M\njNHBztSRUupqIBe4BrgaQNtoJI/djx+ExDG8Vim1Gbgl2FlORSn1c4xRbVcEO8uJlFKXALuBm4Gn\nlVKTgxzJJ2FVmDqcUU0A/q61vlRrfRBwBzHWcZRSscBS4Gqt9cXAUeBWpdSM4CY7Rin1ZeAG4Eat\n9VJgNPBV87mgnrUqpSKUUtcD/w38WGs9Ciiy0z84Ox8/M0MoHMOJwPeAlcBZSqlRWmutlLLNZ1aH\nLE3A34EJSqnZJzwXNGYL7tvAdVrrC4EoYJL5XND/Dk8l6AfPCkqpJDjubO9CoM187g/Az5VSpwWr\n5dSxK0dr3YxROL3N/ocw3ocvKaVighAPOHYMTe9rrc/UWn+qlEoGDprbqGCdUXu7c7TWbuANrfXZ\nWuv15gdYPRDsgmnr42fu3/bHsEPG3cC3gIeBXRhn/GitPcFLeOwYmrzvZQTgBAoxT0CClfOEbuMW\nIBHINn/2ADlKqeyTXmgzIV+YlFJ3ApuVUg8opb5tPvwqcKFS6mWg2Hzse8BVQcj3Y+AjpdSDSqlv\nmQ+/AYxVSkVrrfcDm4AcYHyg85kZvcfwQaXUNVrrNqWUQymVBbwN1AD/BTyklJoQhHy/wDi5yATQ\nWleYjyvzA2wEMMN8LOB/03Y/fmZGux/D24E1GMfoJjPjbq11FfAaMFopdVaw8pn79R5D70SkDrPl\nMQB4HngH44P/YaXUkiDk837WPKSU+qbW2gn8A/imUqoMyAemAfcB5wU6X0+EdGFSSp0LfBk4H3gX\n+JXZHbEZ4wwwQWt9P3A/sA7jjzsgrRKlVLpS6m/AHOA7GNe8vmdeT9qG0WJaZG7+ETCVILwfJxzD\nd4AHlFLTtNYerXUpcJHW+pvATcBYYFQAs8UopX6CceY8DfODswPv8XoeOAMCf6Zq5+Nn5rP1MTT/\nnTwNnA58E3gPWGa2NL12Y1wL+6433wktF39nPPEYzjRzuM0WsAaSMf4NXwxcBOwNYL7OPmtuUUoN\n1lo/A7wAPKe1vgH4IcaJ0uhA5euNkC5MGH2mm7XWh7TWucAfgF9jXLd5F8hWSo3WWrdg/OG0md8H\nQgPwntb6cq31FuADYCcwGNiA0ZI7Xyk1xDx7LQPGBChbRycew0eA33if1FrXmP+tBsqB1ABma8O4\nxjAJWAssUkqN7JDNe+2wBahVhkD/Tdv5+IH9j2E98LDW+jKt9U6Mf6frgNYO2zQArwBOpdR9SqkH\nMVp4gdLlMVTGNeMo4G8YIxt/bW57dgDznfhZ8x9gOzDMfL4S8CilUrXW3i5bW48GDvXCFA+km38c\nmK2j4cBXtNbPAa8DjyqlnsAYMbMuUMHMa0lvdXjIhXG2VWN+WL2KMSjjOaXUk8AsjC69QDvxGP4G\no6BfDu0XytOUUr/FONv+IlDBzDP3PK11A/AiMAQ43dvq7XDWvAfjAq8OQt++bY+fmcfWx1Br3aq1\n3mF2fV6Lcc01G+PfxRJzGw00Y7RIbgTKtdYHApixq2MYa/47/wL4ldb6dK31H4AtwOEA5uvss2YG\nUGT+7ADSMLpJf4fRul8fqHy9orW2/RfmnH5dPPc58PUOP38D+LzDz3OA5RjdegHP12GbEcDbnTx+\nMUbzOtHPxzCpw/eObo7hld5jiFFM38doCfjzGHaZr8Pj3wWeAKaf8HgUxtlqpC/vRS/zpdn5+HWX\n0e7H0HxseofvvwEc6vDzU8BfgHg/H8OJPmzjPYazunjeL8evB/mO+6zBaCGNBn6BcfuCX/8OLfn/\nDHaAbg7wxcCzwIwT33ggxvz+CuBjYIT58zDg8UAc/G7yOczvI8z/ngE8b36/GDg/QMfwQoz++b8D\nP+3weEQ3x/AJ88MqERgYpHwnHsMBwKMY1yKuBpYG4PgtAVab+X7X4XGHHY6fDxntfgy7KqCZwAog\nw/w5NgA5/4DR0hnRm2OIHwtSD/N1/KxZ4v2s6epY2/HLdl155igXlFKLMEaPTAHmK6VSvc9rQ4tS\nahTwEsaHwl3maJ4nMd6ghiDn85j5vMOIzwKilVJ/BH6G0TXhF+Z1ggil1A0YZ0kPYRTr+cocuaiN\nC7enOoYOrXWb1tqpzRFcQch33DHUWtcB+8xt78G4LmK5DvmWm/v5HXAXMFspdaGZxROs49fDjHY/\nhh6l1CilVEqH1w4C/gSUaa3LzW0t//fi/bfcQTpQhXHtN+bEjHRzDLX56R/sfBz/WXNXh3xBHWrf\nI8GujCecEagO34/AGEJ9LsaFxbNPOEu4E+Ni8pkYF0wXYrRebrdRvmKMUVlgjHrKB24J4DH8MjC2\nw8+3Av9jfh9hg2PoS75ijFaVwrj/6yDwvwHKNwmINL/PxChAwzh2ZvrTQB+/Xma0+zEsxjizjzPf\n823AjwJ4DL1Zvo8xqi0XmNLh+TuAkiAeQ1/zBfSzxp9fkdiEUupmjJtMVwP/1FofNp8qVkotBs5W\nSu3XWhdhXBytBcZpY7QTwKdKqbX62CgjO+Sb1CHfP4GbtDlKy88ZP8GY+eJt86w1UmvtwpiiaY+5\neSbBO4Y9ydd+DJVSh4Gp2n+t4Y7v8Qqt9S7z8ZkYZ8eRGB8CTcBtBPj49SGj3Y9hx3wfAH/UWtf6\nI98JGT8GXtJaH1XGlFFLMIaEDwKuVEqtB44AdRjXdgJ9DHuVjwB81vhdsCujWeGXYoxsWQQ8AzzG\n8RdCpwPP0Ul/OMaZtb/7dvuSLyrYx5BjZ6x/AxbY7Rj6kC8yyMdvFDDM/D4R48N0ZiCPnwUZ7X4M\ng/nvZJb53C/M/34D48N+N5Bug2Poa76AHMNAfNnlGtNc4Alt3AdyD3CIDhM3aq23YrxZU5VS5yrj\nTnvv9RzvTW52zdfm52zdZtRau8w+6aHARqXUEKXUf3fIGNRj6EM+l5+zdZXvVjPfQa11vvm9E2PI\ncFqHfIE4fn3NaPdjGMx/J98zn/uy2Zq/A2N2lrUY9wgF+xj6mi9Qx9DvglqYOlzcO4g5XZDW+gjG\nDWoJSqmLO2z+T4z+1Rc5Ns9cv87Xw4ze+fluAd7E/FCQfKfMF3/Ce4xS6i5gMsbN0gSiINk9o93z\n+ZAxVSk1H2NI/2da6xla62UYXfITA5HR7vkCLaCFSSl1njJn34XjDuYrQGOHP+ASjGl6JpqjexIx\n3pTtwDSt9e0nvL5f5OtLRoyulInASIyLpA/4I2M45jNfd6FSag0wDuOepRIrc4VSRrvn60XGDzAG\nsDyvtb6jw69ZqrXe3B/zBVtACpNSaqZS6h2MyRjHdHhcAWhjosZXMeaSU9q48JmIce+CxhhafYvW\n+iKtdfHJewjvfH3MGGdm3A+cobW+0WbH0Pb5zE13Azdora+x43sciIx2z9eHjAkYf4ceZQzGcZjb\n+mOIuq3z2YVfC5N5EJ/EuGP7zxiTCXrPniK9ZwnKWMX1PYw57p5Uxn0MMzGXrtBau7TWZf0tn8UZ\nt2utLZ8Opx/kazXzHdZa77A6XyhktHs+izK6zIxu7Yf7feyez3a0/0eZXIZR7cEY7vgxHe7ixrjA\ntwrj4KcBv8Ro/j+BOX6/P+cLhYySL/wz2j1fKGS0ez47ffnj4H8D427+r53wuMJYA+QvmHNmYdyr\n8jxmhFoAAAM7SURBVAIw+oRt/TYflt3zhUJGyRf+Ge2eLxQy2j2fnb+sfBMUxnLSm4HrMNYjuY4O\nk5NizMp7EBjUyev9Oo+T3fOFQkbJF/4Z7Z4vFDLaPV8ofFl2jUkbR3Q+8BttLE51E8ZZwVkdLuwV\nYiw98fWOr1VKObSf+03tni8UMkq+8M9o93yhkNHu+UJBnwqTUuoapdTZSinvPSe7gcHmxbz/YMx5\ndQbGjZMopaIwJj88bioPf70Rds8XChklX/hntHu+UMho93yhpseFSRlylFK5GPM2XYWxGN8AoACj\nr9Q7DPJFjJEnaQDauDM5ET+uPmn3fKGQUfKFf0a75wuFjHbPF9J60u/HsVlux2GsIQ/GPGFPYMyq\nHAU8DSwDks3n/wbc2+F3+HMRLVvnC4WMki/8M9o9XyhktHu+UP/yaXZxZSy/fB8QoZR6G2OhLDcY\n4+qVUt/HmLp+EsbIkqUYF/fuBzx0WMZXm++IleyeLxQySr7wz2j3fKGQ0e75wkW3XXlKqbOBjUAq\nxt3592HcFLlIKXU6GG8IxpK9D2itP8BYKO0MpdQ683Uf+SV9COQLhYySL/wz2j1fKGS0e76w4kOT\n9UxgWYefnwBuBK4FNpqPOTAmFHyZY8tLpwCD/d3ks3u+UMgo+cI/o93zhUJGu+cLpy9fBj9sBF4y\nm7AAn2Ksq/I3jObs97UxkmQI4NLmAnpa6xptLJrnb3bPFwoZJV/4Z7R7vlDIaPd8YaPbwqS1btRa\nt+hjq3Kej7GcNBg3jU1USq3EWPZhk39ihm6+UMgo+cI/o93zhUJGu+cLJz4vrW6eJWggC2O9HIB6\n4H+BKcChYJ4V2D0f2D+j5Os7u2e0ez6wf0a75wsHPbmPyYMxBLICmGaeGfwM8Git19jgjbB7PrB/\nRsnXd3bPaPd8YP+Mds8X+npyQQqYh/GmrAGu78lrA/Fl93yhkFHyhX9Gu+cLhYx2zxfqX8o8yD5R\nSg3BuGHs91rrlp4UwECwez6wf0bJ13d2z2j3fGD/jHbPF+p6VJiEEEIIfwvI0upCCCGEr6QwCSGE\nsBUpTEIIIWxFCpMQQghbkcIkhBDCVqQwCSGEsBUpTEIIIWzl/wFBtkCThRPOugAAAABJRU5ErkJg\ngg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1955e0c0208>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots()\n",
"ax.plot_date(idx, stock,'-')\n",
"ax.yaxis.grid(True)\n",
"ax.xaxis.grid(True)\n",
"fig.autofmt_xdate() # Auto fixes the overlap!\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Format dates on Major Axis"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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8YxU2u5O7l4z2YGnNI3s6tS+7tI4RydGm5ckTfZMEJ5NVNzTzXU4Fi8enYLEo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\nOXNSAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1955e1dbdd8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots()\n",
"ax.plot_date(idx, stock,'-')\n",
"\n",
"# Grids\n",
"ax.yaxis.grid(True)\n",
"ax.xaxis.grid(True)\n",
"\n",
"# Major Axis\n",
"ax.xaxis.set_major_locator(dates.MonthLocator())\n",
"ax.xaxis.set_major_formatter(dates.DateFormatter('%b\\n%Y'))\n",
"\n",
"fig.autofmt_xdate() # Auto fixes the overlap!\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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pZXl2IaN7H7wZnKryl0828PDMdUzol84/LptAZkp8kz/nxlOG8NHq3fziteVk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\n/x8NZYv8TM0SkAAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1955e2895f8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots()\n",
"ax.plot_date(idx, stock,'-')\n",
"\n",
"# Grids\n",
"ax.yaxis.grid(True)\n",
"ax.xaxis.grid(True)\n",
"\n",
"# Major Axis\n",
"ax.xaxis.set_major_locator(dates.MonthLocator())\n",
"ax.xaxis.set_major_formatter(dates.DateFormatter('\\n\\n\\n\\n%Y--%B'))\n",
"\n",
"fig.autofmt_xdate() # Auto fixes the overlap!\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Minor Axis"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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BxLhYquoauP+AZzQNyUgmp28vPtmwm28cM4w1BWX8/aPNXDQlh1+eP56UxO5z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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1955e291588>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots()\n",
"ax.plot_date(idx, stock,'-')\n",
"\n",
"\n",
"# Major Axis\n",
"ax.xaxis.set_major_locator(dates.MonthLocator())\n",
"ax.xaxis.set_major_formatter(dates.DateFormatter('\\n\\n%Y--%B'))\n",
"\n",
"# Minor Axis\n",
"ax.xaxis.set_minor_locator(dates.WeekdayLocator())\n",
"ax.xaxis.set_minor_formatter(dates.DateFormatter('%d'))\n",
"\n",
"# Grids\n",
"ax.yaxis.grid(True)\n",
"ax.xaxis.grid(True)\n",
"\n",
"fig.autofmt_xdate() # Auto fixes the overlap!\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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mJyVeT3GppC2GYeyVtEORnuInJX3LMIx9A69vlPRZK4sEAAAYKtpTPFUjTaDw+YP69C93\nK9vtnFAfsVVKcjO0ujz/nNPtzp5m57aqrEmb2hbJODFNc6+kS0Z4/R4LygEAABhXOGyqozegWVnT\nW5FdWuLRwcauwV//3cA84gfvWz/iPOJEsmlFib71zGE1dvSqLD9TrT1Tn9tslURbKQYAAEgq3X1B\nhcLmlE6zG2roBIr/3VWv3+yq12c2LtHVS2fHqNL42VQ5R5L0wtuRForBw0xonwAAALCHtoGDO6Y7\nk/eCkhyZpvTsgdNT7iO2ypJijxbNzh4czdbm8yvd5VB2+sQmZSQCQjEAAMA0DJ5mN92V4pLIqLK/\n+c3ehO8jHsmNK+Zo24lWdfoCauuJzCie6txmKxCKAQAApqHdGz3ieXqhODqBIhAO67t3rk74PuLz\nbaosUTBs6qXDTUl3mp2UYBvtAAAAks1g/+w0V4rTXQ7dvnaeFs/2JEUf8flWzctXcY5bzx1oUiuh\nGAAAwF46fAFJUn729OcB/9P7V077HlZxOAzdUFmiR3c3KC8zTRWFBVaXNCm0TwAAAExDm88vl8NQ\njpu1xk0r5qg3ENLprr6kWykmFAMAAExD9OCOZNpUFi+XLyoc/OagkFAMAABgH+0+/7QP7kgV6S6H\nNi4vlpRcp9lJhGIAAIBpafcGpj2OLZVsWlEiSSpMooM7JEIxAADAtLT5km/SQjzduGKOvn7rCl17\nQXJN0KAjHAAAYBo6fH7ls1I8KM3p0EevWGB1GZPGSjEAAMAUhcOm2n0BFcRgHBusRSgGAACYou6+\noEJhk57iFEAoBgAAmKI238ARz4TipEcoBgAAmKL2gVDMRrvkRygGAACYonbvwEoxoTjpEYoBAACm\nqC0aijm8I+kRigEAAKaowxeQxEpxKiAUAwAATFGbzy+Xw1COm6Mfkh2hGAAAYIravZGDOwzDsLoU\nTBOhGAAAYIrafX4O7kgRhGIAAIApME1TJ1q8KvK4rS4FMUAoBgAAmII3jrfqaHOP3rOqzOpSEAOE\nYgAAgCn4wdYTKvK49b5L5lpdCmKAUAwAADBJh0536eUjLfrYFRXKSHNaXQ5igFAMAAAwST/cekKZ\naU59ZEOF1aUgRgjFAAAAk3Cqs1eP72nUnevKlZ/FoR2pglAMAAAwCT9/7aTCpqk/uWqh1aUghgjF\nAAAAE9TdF9CvttfqlotLVV6QZXU5iCFCMQAAwAQ9XFWr7v6gPnnNYqtLQYwRigEAACbAHwzrp6+e\n1OWLCnXxvDyry0GMEYoBAAAm4Im3GnW6q08PXLvI6lIQB4RiAACAcZimqR+9ckIXlHh03QWzrS4H\ncUAoBgAAGMfWo2d06HS37r96kQzDsLocxAGhGAAAYBw/3HpcJblu3baaI51TFaEYAABgDPsbOvXa\nsVZ9/MqFSncRnVIVv7MAAABj+OHWE/K4Xbr7svlWl4I4IhQDAACMor7dpz/sO6UPrStXbkaa1eUg\njgjFAAAAo/jpqydlSLqPI51THqEYAABgBJ2+gDbvqNV7VpWpLD/T6nIQZ4RiAACAEfxie418/pDu\nv5rDOuyAUAwAAHCe/mBIP3/9pK5eWqTKslyry8EMIBQDAACc53dvNqilu18PXMMqsV0QigEAAIYI\nh0396JVqVZbm6qolRVaXgxlCKAYAABhiy+FmHWvu0QPXcKSznRCKAQAAhvjB1hMqy8vQu1aWWl0K\nZhChGAAAYMCeug5VVbfpvqsWKs1JTLITfrcBAAAG/HDrceVkuPSh9RzpbDeEYgAAAEk1rV49s/+0\nPnxZhTxul9XlYIYRigEAACT95NVqOR2GPn7lAqtLgQUIxQAAwPbavH49srNO7109VyW5GVaXAwsQ\nigEAgO099EaN+gJhDuuwMUIxAACwtb5ASA++cVLXLy/W0pIcq8uBRQjFAADA1n67u16tXr/uv5pV\nYjsjFAMAAFt7+XCLKgqztGFRgdWlwEKEYgAAYGsdvQHNyc3gSGebIxQDAABb6/QFlJeZZnUZsBih\nGAAA2Fpnb0D5WYRiuyMUAwAAW+vo9Ss/K93qMmAxQjEAALCtvkBIfYEw7RMgFAMAAPvq7A1IEqEY\nhGIAAGBf0VBMTzEIxQAAwLY6fAOhOJOeYrsjFAMAANvq8Pkl0T4BQjEAALCxDtonMIBQDAAAbKsr\nutGOUGx7hGIAAGBbHb6AnA5DOW6X1aXAYoRiAABgWx29fuVmuGQYhtWlwGKEYgAAYFsdvgCn2UES\noRgAANhYZ2+AyROQRCgGAAA21tkbYPIEJBGKAQCAjXX4WClGBKEYAADYVmdvQPmEYohQDAAAbCoU\nNtXVF1AeG+0gQjEAALCp7r6ATFOsFEMSoRgAANhUh2/gNDtCMUQoBgAANtU5cMQz0ycgEYoBAIBN\ndRCKMQShGAAA2FKHzy9Jystkox0IxQAAwKai7RP0FEMiFAMAAJvqZKMdhiAUAwAAW+roDSg73al0\nF3EIhGIAAGBTHb6A8jm4AwMIxQAAwJY6e/3KpXUCAwjFAADAljp7A5xmh0GEYgAAYEuR9glCMSII\nxQAAwJY6egnFOItQDAAAbMc0TXX6AvQUYxChGAAA2E5fICx/KKx8TrPDgIQKxYZhZBiGUWUYxluG\nYRwwDOPr573/rw3DMA3DKLKqRgAAkPw6eiNHPNM+gSiX1QWcp1/S9aZp9hiGkSbpVcMwnjZNc5th\nGOWSNkmqtbZEAACQ7DoGTrNj+gSiEmql2IzoGfhl2sCbOfDr70r62yG/BgAAmJLOXo54xrkM00ys\njGkYhlPSLklLJP2naZpfMAzjNkVWkP/SMIyTktaapnlmhI99QNIDklRSUrJm8+bNcauzp6dHHo8n\nbvefDGoZWaLUkih1SNQyGmpJ3DokahlNotSSKHVIk6tlV1NQ//5mv75+RYYqcp2W1hJvdq9l48aN\nu0zTXDvuhaZpJuSbpHxJWyStlLRdUt7A6yclFY338WvWrDHjacuWLXG9/2RQy8gSpZZEqcM0qWU0\n1DJcotRhmtQymkSpJVHqMM3J1bK5qsas+MKTZn27z/Ja4s3utUjaaU4geyZU+8RQpml2KBKKb5O0\nUNJbA6vE8yTtNgxjjoXlAQCAJBbtKaZ9AlEJFYoNw5htGEb+wL9nSrpB0pumaRabprnANM0Fkuol\nXWqa5mkLSwUAAEmsszcgl8NQdnrsWyeQnBJt+kSppP8Z6Ct2SHrENM0nLa4JAACkmOhpdoZhWF0K\nEkRChWLTNPdKumScaxbMTDUAACBVdfoCtE7gHAnVPgEAADATOnr9hGKcg1AMAABsp7M3oPwsjnjG\nWYRiAABgOx2+AKfZ4RyEYgAAYDudvoDysgjFOItQDAAAbCUYCqu7P0hPMc5BKAYAALbS1ReUJNon\ncA5CMQAAsJUOn1+S2GiHcxCKAQCArXT0DhzxTE8xhiAUAwAAW+n0DYRi2icwBKEYAADYSufASjE9\nxRiKUAwAAGyFnmKMhFAMAABsJdpTnJvhsrgSJBJCMQAAsJXO3oBy3C65nMQgnMVnAwAAsBVOs8NI\nCMUAAMBWOnoDyicU4zyEYgAAYCsdPr/yM9lkh3MRigEAgK109gaYUYxhCMUAAMBWOnvpKcZwhGIA\nAGAbpmmqwxfg4A4MQygGAAC24fWHFAybbLTDMIRiAABgG9EjnukpxvkIxQAAwDaiRzznMX0C5yEU\nAwAA2+j0RVaKaZ/A+QjFAADANjp6CcUYGaEYAADYBj3FGA2hGAAA2EZHtH2CnmKch1AMAABso6PX\nr3SXQxlpRCCci88IAABgGx3eyBHPhmFYXQoSDKEYAADYQjhs6tVjZ1RZmmt1KUhAhGIAAGAL26pb\n1dDRq/dfOtfqUpCACMUAAMAWHt3doBy3SzeumGN1KUhAhGIAAJDyfP6gnt53SrdcXKqMNKfV5SAB\nEYoBAEDKe/bAaXn9IVonMCpCMQAASHmP7m7QvFmZWregwOpSkKAIxQAAIKWd7uzTq8fO6P2XzpPD\nwSg2jIxQDAAAUtrv9jTINKX3X0LrBEZHKAYAACnLNE39dle91lTM0oKibKvLQQIjFAMAgKTyh72n\n9KmHdikcNse9dn9Dl44297DBDuMiFAMAgKRhmqa+98IRPXPgtN440Tru9b/dXa90l0PvvrhsBqpD\nMiMUAwCApLG7tl1Hm3skSb/eUTfmtYFQWI+/1agbLixRXlbaTJSHJEYoBgAASePhqjplpzv1wTXz\n9MyB0+rw+Ue99uXDLWrz+mmdwIQQigEAQFLo6gvoyb2NunX1XH38ygXyB8P63ZsNo17/s9erVeRx\n65oLZs9glUhWhGIAAJAUfr+nUX2BsO5aX64VZXm6aG6uNu+ok2kO33D3ytEWvXasVZ++brHSnMQd\njI/PEgAAkBQ2V9WqsjRXF8/NkyTduW6+Dp3u1r6GznOuC4dNffPpQ5o3K1Mf3jDfilKRhAjFAAAg\n4e2r79SBxi7dtb5chhE5le7WVWVyuxzafN6Guyf2NupAY5c+v2mZ3C6nFeUiCRGKAQBAwnt4R60y\n0hy6dfXZTXN5mWl618WlemJPo3z+oCTJHwzrX547ogtLc3XrKsawYeIIxQAAIKF5+4N6fE+jbrm4\nVHmZ545Wu2Ndubr7g3pq32lJ0sNVtapt8+mLNy+Xw2FYUS6SFKEYAAAktD/sPaWe/qDuWj+8P/iy\nhQVaUJilR3bUqTdo6vsvHtXliwp1zdIiCypFMnNZXQAAAMBYNu+o1ZJij9ZWzBr2PsMwdMe6cn3r\nmcNy9DvV6g3pizcvH+w7BiaKlWIAAJCwjjR1a3dthz60rnzUoPvBS+fJ6TC07VRI77q4VKvK82e4\nSqQCQjEAAEhYD1fVKt3p0PsvnTfqNcW5Gbp+ebEchvT5G5fNYHVIJbRPAACAhNQXCOmxNxu0aUWJ\nCrLTx7z2G7ddpLWeTi0syp6h6pBqWCkGAAAJ6dkDp9XhC4y4we58c/IytKyAmcSYOkIxAABISA9X\n1Wp+QZYuX1RodSmwAUIxAABIONVnvNp2ok13ritn3jBmBKEYAAAknM07auV0GLp9zegb7IBYIhQD\nAICE4g+G9dtd9bp+ebGKczOsLgc2QSgGAAAJ5cW3m3Smx6+71pdbXQpshFAMAAASysM76lSal6Fr\nLyi2uhTYCKEYAAAkjPp2n1452qLb15bLyQY7zCBCMQAASBiP7KyXJN2xlg12mFmEYgAAkBBCYVO/\n2Vmna5bO1rxZWVaXA5shFAMAgITw8pFmnersY4MdLEEoBgAACeHhqjoVedL1jgtLrC4FNkQoBgAA\nlmvu6tNLh5r1gTXzlOYknmDm8VkHAAAs95td9QqFTX1o3XyrS4FNEYoBAIClwmFTm3fUasOiAi0s\nyra6HNgUoRgAAFjq9eOtqmvr1V3rWSWGdQjFADAOfzCs7z5/RFuPtFhdCpCSHt5Rq/ysNN24Yo7V\npcDGXFYXAACJzDRNffHRvXp0d4Mk6R3Li/Xld12oxbM9FlcGpIY2r1/PHTitj2yoUEaa0+pyYGOs\nFAPAGL77wlE9urtBf3H9En3p5uXaXt2mG7+7VX//xEF1+gJWlwckvUd31ysQMmmdgOVYKQaAUTyy\no07ff/Go7lg7T5+94QIZhqH3XzpP//r8Yf3s9Wo99ma9vvehS3TtBbOtLhVISqZp6uGqWl06P18X\nlORYXQ5sjpViABjBy0da9KXH9unqpUX6x/ddLMMwJEmzc9z6p/ev1JOfuUpz8jJ1/4M79cfDzRZX\nCySnnTXtOt7i1YdYJUYCIBQDwHkONHbq07/YpaXFHv3Xhy8d8SCBFWV5evj+y7S02KMHHtpFMAam\n4OGqWnncLr17ZanVpQCEYgAYqi8Q0if+Z6dyM9P084+vV05G2qjX5mel65efIBgDU9HZG9BT+07p\n1tVlykqnmxPWIxQDwBBP7j2lU519+s7tqzQnL2Pc6wnGwNT8fk+D+gJh3cUJdkgQhGIAGOKhbTVa\nUuzRFYsLJ/wxBGNgciIb7Oq0oixXF8/Ls7ocQBKhGAAG7W/o1Ft1HfrwZfMHN9ZNFMEYmLi99Z16\n+1QXG+yQUAjFADDgF9tqlJnm1PsvnTeljz8/GL/MCXjAiDbvqFVmmlO3rS6zuhRgEKEYABTZ9PO7\nPQ26bXUNFxf3AAAgAElEQVSZ8jJH31w3nmgwXjLbo/sf3EkwBs7j7Q/q8T2NetfKUuWOsZEVmGmE\nYgBQ5FStvkBYH9lQMe17EYyB0T25t1Fef0h3rS+3uhTgHIRiALZnmqZ+sa1Gq8vzddHc2Gz6mZVN\nMAZG8nBVnZYWe3Tp/FlWlwKcg1AMwPYOtYV1vMUbk1XioQjGwLkOne7SnroO3bmufNKbWYF4IxQD\nsL2X6gLKz0qLy6laBGPgrM1VdUp3Oqa8mRWIJ0IxAFtr7urT7qaQbl8zTxlpzrg8g2AMRE6LfHR3\nvW68aI4KstOtLgcYhlAMwNY276hTyJTuviy2rRPnIxjD7p7ef0pdfUHdtY4NdkhMhGIAttUXCOlX\n22t1UaFTC4uy4/6884PxseaeuD8TSBQPV9WpojBLGxZN/LRIYCYRigHY1k9erdbprj7dsmjmZqXO\nyk7Xv965Sv5gWAcaO2fsuYCVjrf0qKq6TXeuK5fDwQY7JCZCMQBbOt3Zp//cckybKktUWRifXuLR\n5GdG+im9/aEZfS5glZcPR9qF3nfJXIsrAUaXUKHYMIwMwzCqDMN4yzCMA4ZhfH3g9W8YhrHXMIw9\nhmE8ZxgG50ICmJZvPv22gmFTX3lX5Yw/25PhkhQ52Quwg9o2n7LTnZqTm2F1KcCoEioUS+qXdL1p\nmqskrZZ0k2EYGyR92zTNlaZprpb0pKSvWlkkgOS282SbfrenUQ9cvUjzC7Nm/PlZA1MuugnFsIn6\n9l6VF2QxmxgJzWV1AUOZpmlKiu48SRt4M03T7BpyWbYkc6ZrA5AaQmFTX3vigObkZujTGxdbUoPD\nYcjjdrFSDNuob/dp3qxMq8sAxmREcmjiMAzDKWmXpCWS/tM0zS8MvP6Pku6V1Clpo2maw+YZGYbx\ngKQHJKmkpGTN5s2b41ZnT0+PPB5P3O4/GdQyskSpJVHqkKhFkl6uC+hnB/z65Eq3Li9zWVbLX23x\naeVsp+67yH3O64nye5QodUjUMppEqWW8OkzT1J++4NPV81z68IXuUa+biVpmErWMzIpaNm7cuMs0\nzbXjXmiaZkK+ScqXtEXSRee9/iVJXx/v49esWWPG05YtW+J6/8mglpElSi2JUodpUkuHz29e+vfP\nmR/4r9fMcDhsaS0bv7PF/PQvdw17PVF+jxKlDtOkltEkSi3j1dHW029WfOFJ80dbj1tey0yilpFZ\nUYukneYEsmei9RQPMk2zQ5FQfNN57/qlpA/MfEUAkt33XzyqNp9fX7t1heW9jTm0T8Am6tp9kqTy\ngpnv3wcmI6FCsWEYsw3DyB/490xJN0g6ZBjG0iGX3SbpkBX1AUhex5q79T+vn9SH1pXrorl5Vpej\nbLdLPX2EYqS++vZeSaKnGAkvoTbaSSqV9D8DfcUOSY+YpvmkYRi/NQxjmaSwpBpJn7KySADJxTRN\nff2Jg8pMd+rzm5ZZXY6kSChu8/qsLgOIu7o2VoqRHBIqFJumuVfSJSO8TrsEgCl74e1mvXL0jL76\n7koVeuK70Weictwuef2sFCP11bX7lJeZptyMmTs5EpiKhGqfAIBY6wuE9I0nD2ppsUf3XF5hdTmD\naJ+AXdS399I6gaRAKAaQ0n7yarVq23z66nsqleZMnL/yst0ujnmGLdS1+VQ+i9YJJL7E+QoBADF2\nurNP/7nlmDZVlujqpbOtLuccORku+UNh9QcJxkhdpmmyUoykQSgGkLL++ZlDCoZNfeVdlVaXMkx2\neuSoZ1aLkcpaevrVHwyzyQ5JgVAMICXtqmnTY2826P6rF2p+YeJ9QfYMbDpiVjFSWXQcW3kBK8VI\nfIRiACknHDb1tccPqiTXrU9ft8TqckbkcUdWirvZbIcUFh3HNo+eYiQBQjGAlPObXXXa19CpL99y\nobLdCTV5clC0LsayIZVxcAeSCaEYQErp6gvo288e1tqKWbp1VZnV5YzKMxCKe2ifQAqrb/epMDtd\nWemJ+c0pMBSfpQBSyvdfOKpWr18///h6GYZhdTmjGgzFtE8ghdW19Woem+yQJFgpBpAyjjV36+ev\nn9SH1pXrorl5VpczpsH2CVaKkcLq2320TiBpEIoBpATTNPX3T76tzHSnPr9pmdXljMuTQfsEUlso\nbKqho5eDO5A0CMUAUsKLbzdr65EW/dU7L1Chx211OePKTicUI7U1d/cpEDIZx4akQSgGkPT6gyF9\n4w8HtaTYo3svr7C6nAlxOgxlpjlpn0DKqmuLTp5gpRjJgVAMIOn95NVq1bT69HfvqVSaM3n+WvNk\nuNTDiXZIUdEZxeX0FCNJJM9XDwAYQVNXn/7jpWO6obJEVy+dbXU5k+Jxu2ifQMqKziguyycUIzkQ\nigEktX9++pCCIVNfedeFVpcyaR63i/YJpKy6dp9Kct3KSHNaXQowIYRiAElrV027Hn2zQfdfs1AV\nhdlWlzNp2W4nc4qRsiLj2OgnRvIgFANISuGwqa8/cUAluW59+rolVpczJbRPIJXVtfXST4ykQigG\nkJT+d1e99tZ36ks3Xzh4EEay8bhd8voJxUg9wVBYp7v6VM5pdkgihGIASaerL6BvPXtIaypm6bbV\nZVaXM2XZbhftE0hJpzr7FAqbnGaHpJKcyysAbO37LxxVq9evn398vQzDsLqcKaN9Aqnq7Dg2VoqR\nPFgpBpBUjjX36Oevn9Sda8t10dw8q8uZFo/bpf5gWIFQ2OpSgJiKjmNjox2SCaEYQFL55tNvKzPd\nqc/fuMzqUqYt2gvNWDakmrp2nxyGVJqfYXUpwIQRigEkDX8wrK1HzujOteUq8ritLmfaPAOhmBYK\npJr69l6V5mUm1QmTAJ+tAJLG4dPd8ofCumT+LKtLiQlPBqEYqamuzccmOyQdQjGApLG3oUOStHJe\ncvcSR9E+gVRV397LODYkHUIxgKSxt65Ts7LSUmYF6mz7RMjiSoCp6ekP6rmTAdW0egdf6w+G1NTd\nlzJ/TmEfjGQDkDTequ/Qynn5ST2GbajBUMysYiSpJ95q1K8O+fXw4T/qHcuL9bErFqo0P0OmyTg2\nJB9CMYCk0OsP6Whzj26oLLG6lJjJdjsl0T6B5HW0qUfpDulT1y3Rr6pq9ZGfbFeRJ12SWClG0qF9\nAkBSOHiqU6GwqZXz8q0uJWZy3GmS2GiH5HW8pUdzsh363KZleu2L1+tf71il0rxMZaY5tbQkx+ry\ngElhpRhAUnirrlNS6myyk86uFBOKkayONfeo3BNpZ3K7nHr/pfP0vkvmKhg2GceGpMNnLICksLe+\nQyW5bpXkps5hAC6nQ26Xg/YJJCWfP6iGjl6VZp8bJQzDIBAjKfFZCyAp7G3oTKnWiaicDJe6CcVI\nQidaIhMnSj1ECaQGPpMBJLyuvoBOtHi1KoVaJ6Ky3S5WipGUjrf0SJLKsokSSA18JgNIePvrI/3E\nF6fgSnF2OqEYyelYc48chlSSnRojEgFCMYCE99ZAKF45N/VWij0ZLnUzpxhJ6HhLj+YXZCnNQShG\naiAUA0h4+xo6NL8gS7Oy060uJeY8bpe8fkIxhguHTVVVt+k7zx7WyTPe8T9ghh1r7tGSYo/VZQAx\nw0g2AAnvrbpOrZ6feq0TUiQUV5/hmGdEhMOmdta06w97G/X0/tNq7u6XJP3+rQY9+qdXanaO2+IK\nI4KhsKrPeLVxebGkxAvswFQQigEktNaefjV09OqjV1RYXUpcZLtpn7C7kYKw2+XQdctm610ry1Tk\nSdd9P9+hT/zPDj38wAZlpVv/pbu2zadAyNSS2R6pp8nqcoCYsP5PFgCMYW9D9NCOVF0pdrLRzoai\nQfipfaf01L5Tw4Lw9cuL5XGf/RL973ddqk8+tFN/8fCb+sE9a+W0uI/3+MA4tsXFHnX1WFoKEDOE\nYgAJbW9dpwxDuigFN9lJksedpt5ASKGwaXnQQXwNDcJP7z+lpq6zQfiWi0v1jgtLzgnCQ91QWaKv\n3bpCX/39AX3t8QP6+9tWzHD15zrWHEnCS4o92n3C0lKAmCEUA0hoe+s7tHi2Z9SwkOyGHvWcl5lm\ncTWIl++9cEQPV9VOKgif797LF6i+vVc/3HpC5QWZumAKdfT6Q/rpa9X64Jp50zod8lhzj4pz3MrN\n4HMWqSM1v8oASAmmaWpvQ6euXlpkdSlxEw1EXkJxyvL5g/reC0d1yfx8ffmWCycVhM/3xZuWq6G9\nV//3qUP6wroMXTfJj//f3fX69rOH9fieRj3yycuVlzW1z7njLT1aPJvJE0gtjGQDkBC2n2jVa8fO\nnPPa6a4+tXT3p+R84ihPRiQc9dBXnLIa2nslSR+7YoFuWz13Wj/1cDgM/csdq5Sflaat9YFJf/yv\nd9SqNC9D1We8+pP/2aFe/+Qnn5imqeOMY0MKIhQDsNypzl597Gc79OEfb9dHf1qlY83dkiKj2CRp\nZXlqbrKTItMnJEJxKqsfCMXzZmXF5H4ZaU7dWDlHbzaH1BeYeKjd39Cp/Q1d+uQ1i/TdO1drV227\n/vxXuxUIhSf1/ObufnX3BwnFSDmEYgCW++bThxQyTf3lO5Zqd227bvzeK/ra4wf0ytEWuRyGKktz\nrS4xbnKGtE8gNdW3+yRJ5bMyY3bPW1aWqi8kvXL0zPgXD3hkZ53SXQ6995K5etfKUv39bRfpxUPN\n+tKj+2Sa5oTvc3zIJjsgldBTDMBSO0+26fd7GvXnG5foszdcoHsvr9B3XziiB984qbApVZbmKiPN\naXWZcTO4Usys4pRV396rdJdDRZ7YHbxxxeJCZadJf9jbqBsqS8a9vi8Q0u/ebNBNK+YoPytyMuQ9\nGyrU2tOv771wVIWedH3p5gsn9OxjLZFQTE8xUg2hGIBlQmFTX3vigObkZujTGxdLkgo9bv3Dey/W\nRzZU6LvPH9FVS2dbXGV8eWifSHn17b2al58pRwxH7qU5HVpT4tILbzerLxAa9xvHZ/afVldfUB9a\nV37O63/5jqVq7fHrBy+fUFG2W/dfs2jcZx9r7pHH7VJJbmKcrgfECqEYgGV+s7NO+xu69G8fWj3s\nlK7lc3L1g3vWWlTZzPHQPpHy6tt9mhvD1omodSVOba3v1ytHz4y7WvzrHXWaX5ClDYsKz3ndMAx9\n7dYVavP69Y9Pva2C7HR9YM28Me91rLlHi4s9MgzmaiO10FMMwBLegKlvPXtY6xbM0q2ryqwuxzJs\ntEt99e29MdtkN9SFhU7lZ6XpD3sbx7yuptWrN0606o6180ZcrXY6DP3rnat05ZJC/e1v9+qlQ2Mf\n2xwZx5Y9rdqBREQoBmCJ3x/zq93n19+9Z4WtV5zSXQ6lOx3q6Z/8aCwkPp8/qFavX/PisFLschi6\nsXLOYAvFaB7ZWSeHIX1wTfmo17hdTv3gnrWqLM3Vp3+5W7tq2ka8rqsvoKaufjbZISURigHMuGPN\n3XqxNtLfmKrHN0+GJ8Olnv7Jz5xF4msYHMcW+1AsRaZQ9PQHR51CEQyF9b+76nXdsmLNyRv7BDuP\n26WffXydSvMy9fGf7dDh093DrhmcPMEmO6QgQjGAGffNpw8p3Sl9ftMyq0tJCNlup7ysFKekWM8o\nPt8ViwvHbKF4+UiLmrr6dee60VeJhyryuPXgfeuVkebUvT/dPjhOLup4i1eStJiVYqQgQjGAGVXT\n6tWLh5q1qSJNhTEcUZXMstNd9BSnqHjMKB4qzekYs4Xi1zvqVORx6/rlxRO+Z3lBlh78k/Xq9Yd0\n70+q1NrTP/i+Y809SnMaqiiIT8gHrEQoRlz1B0MKhSc+FB6p71fba+UwDF1XzvCbqJwMF3OKU1Q8\nZhSfb6QWCtM09cRbjXrxULM+sGau0pyT+3K/fE6ufvKxdWro6NV9P98xOB3lWHOPFhRmyzXJ+wHJ\ngM9qxI1pmrrl317Rt549NOPPfvXoGfWHCOOJpi8Q0iM763TDhSWalcFfP1HZbpe8fkJxKorHjOLz\nnd9Csbe+Q7f/9xv6zMNvallJju67cuGU7rtuQYH+8+5Ltb+xS5/6xS75g2GdaOlhkx1SFl+VEDe1\nbT4db/Hq+QNjj/eJtcaOXn3kJ9v1WgMhI9E8vf+U2n0BfWRDhdWlJBSPm/aJVBWvGcVDDW2h+OtH\n3tKt//GaTrZ69c8fuFhPfOYqleSOvcFuLO+sLNE333+xXjl6Rp/99R7VtPk4yQ4pi1CMuNleHRnp\nc+KMV6c6e2fsuScGNoK09rJSnGgeeqNGi4qydcXiwvEvthGPm/aJVBWvGcXni7ZQPPFWoz517WJt\n+fx1unPdfDljsEJ9+9pyffHm5frDvlMKhU1WipGyCMWIm6rqNrkG/kJ+/VjrmNdurqrVkabh43+m\n4mRrJBR39BOKE8nBxi7tru3Q3ZfNj+uPkpNRttvFiXYpKJ4zis939ZIifesDK/XC567VF29erpyM\ntJje/5PXLNL9V0faMFaU5cb03kCiIBQjbqqq23TdsmIVZKfr9eOjh+LGjl598dF9+srv9sfkuTWD\noTgck/shNn6xvUZul0MfHOcIWTvyuF3y+kMKsyk1pcR7RvFQDoehO9aVa35hfFalDcPQl2+5UK9+\nYaOWluTE5RmA1QjFiIvTnX2qbfNpw6ICXb6oUK8fPyPTHPkL/nMHTkuKhOg9dR3TfnZNa2QEUjsr\nxQmjuy+g373ZoFtXlSk/K93qchKOZ+CoZzbbpZZ4zyieaYZhpMx/CzASQjHioupkpJ94/cICXb64\nUKc6+3Sy1Tfitc8eaNKCwizlZrj0o60npv3saCjuJBSfY9uJVj14sP+cmaMz5bE3G+Tzh9hgN4rs\naCjmAI+UEu8ZxQBii1CMuKiqblV2ulOVpbmDm6pePz78GNI2r1/bq1v17pVl+vCGCj29/5RqRwnP\nExEOm6pp88rlMOQNaMRh9nb1X388rpdqg7rp317RK0dbZuy5pmnqF9tqtHJenlaV58/Yc5OJJyMS\nijnqObXMxIxiALFDKEZcVFW3ac2CArmcDi0sylZpXsaIm+1eeLtJYVO66aI5+vgVC+RyOPTjV6e+\nWtzc3a++QFgXzc2L/Lpr5ldFE5HPH9S2E626pNip/Mw03fOTKv3DkwfVH4z/Nw1V1W060tSjj1zG\nKvFoPG6nJKmHleKUMhMzigHEDqEYMdfu9etIU48uW1ggKdKHdvniQr1xonXYRqJn95/W3PxMrSjL\nVXFuht57SZke2VmnNq9/Ss+OTp6IPrupu28a/yWp47VjrfIHw7qhIk1PfOYq3bOhQj9+tVrv/c/X\ndaw5NlM/RtLdF9C/PH9EuRkuvWdVWdyek+yy06PtE/QUp5KZmFEMIHYIxYi5HQP9xOsWFAy+dsXi\nIrV5/To8ZOxaT39Qrxw7oxtXzJFhRFZS7r96kfoCYT30Rs2Unh2dPBF9dlMXoViSthxuVna6UxfM\ncigjzalvvPci/fjetWrq6tO9P6kadRPkdFSf8ep9//W6dtW06yvvrlRmujPmz0gV0faJbmYVp5SZ\nmlEMIDYIxYi5quo2pbscWjkvb/C1aF/xa8fO9hW/fLhF/mBYN64oGXxtaUmOrl9erAffODmlfuCa\nVp/SnIZWz4/0rjbRPiHTNLXlULOuWlo0ODdaipxU9VfvXKrGzj6d6oztNw8vH2nRbf/xqlp7+vXQ\nfet1x9rymN4/1QxOn2ClOGXM5IxiALFBKEbM7TjZptXl+cpIO7syWJafqYVF2XpjyLziZw6cVmF2\nutYOWVGWpAeuWaRWr1+/3V0/6WfXtPpUPitLhdnpcjmkZlaKdbipW6c6+3T98uJh74sO4T/Y2BWT\nZ5mmqR+8fFwf/1mVyvIz9fifX6UrlhTF5N6pLBqKOeo5dczkjGIAsUEoRkz1Bk3tb+wa7Okd6vLF\nhdpe3aZgKKz+YEhbDjXrhsqSYceQXrawQKvm5enHr1QrNMnDDE62elVRmCXDMDTLbdA+IemlQ82S\npOuWDQ/Fy+fkyjCkg6emH4p7/SH91a/36J+ePqSbLyrVo5++QuUF/Oh4IrIJxZKkN4636re7Jv/N\ncCJKtRnFgB0QihFTxztCCoVNrR8hFF+5uEg9/UHtbejU68da1dMf1I0r5gy7zjAMPXDNYlWf8er5\ng00TfrZpmqpp9amiMFuSlO82aJ+QtOVQs1aU5aokN2PY+7LdLi0szNaBxs5pPaOho1cf/O/X9fhb\njfqbG5fpP+6+RFkDm8cwPrfLERkjaONQbJqmvvzYPn3nucNWlxITzCgGkg+hGDF1uC0sp8PQpfNn\nDXvfhkWRoPzG8VY9e+C0PG6XrlhSOOJ9brpojsoLMvXDrccn/OxWr189/UFVDBxzmp9h2H76RKcv\noF017SO2TkRdWJY7rZXiquo23frvr6q21acf37tWf7ZxyeDGSUyMYRjyZLhsvVL8xvFWVZ/xpsxm\nQ2YUA8mHUIyYOtIe0kVluYM/Dh6q0OPW8jk5euVoi54/2KSNy4vldo08kcDpMPSJqxZpd22Hdg5M\nsxhPdPLEgiErxXafU/zy0RaFzZFbJ6IqS3NV19arzt7JHxzxi201uvtH25SXmabH/uxKvePCkvE/\nCCPKTrd3KP5lVa2kSAvJZNumEhEzioHkQyhGzPQFQjreGR6xdSLqyiVF2naiTa1ev24aoXViqNvX\nzlN+Vpp+OMGjn0+eify4MrpSPMttqKc/aOug8cdDzSrITtfqMU6Si262e3sSq8X+YFhfenSfvvK7\n/bp6aZEe+7MrtaTYM+167czjdtm2faKlu1/PHTitnGhvdRKtFu+r79SZEY5OZ0YxkHwIxYiZvfWd\nCoal9QtHbomQzo5mS3c5dN2y2WPeLyvdpXs3VOj5t5t0oqVn3OfXtPnkMM5ubMnPiHx623UCRShs\n6o9HWnTtBbOHbWYcqnIgFB+Y4ASKlu5+3f2jbXq4qlafvm6xfvzRdcrLTItJzXZm5/aJ3+yqUyBk\n6u7L5kuSuvqS47jrQCisu360TZ96aNewWd/MKAaSD6EYMVNVHRm3trZieD9x1PqFBXI6DF2ztGjE\nFovz3XvFAqU7HfrRK9XjXlvT6tXcWZlKd0U+rfPdkSBo1812b9V3qM3rH/ebj+KcDM3OcU9oLNve\n+g69599f1f7GTv37XZfob29aPmbgxsRlu122POY5HDa1uapOly0sGPyJRrL0FR9s7FJPf1A7a9r1\n+FuNg68zoxhIToRixMz26jbN8xialZ0+6jU5GWn63p2r9YWblk/onkUetz6wZp5+u7teLd1jh9uT\nrb7BfmLpbChutulmuz8eapbDkK69YOxQLEX6isfbbPfo7np98L/fkNNh6Ld/egXHNseYx+20ZfvE\nq8fOqLbNp7svm6+cjMhPHLqTZKU4enrnoqJs/dNTh+TzR37/mFEMJCdCMWLimf2n9crRM1pdPP7q\n73tWlWlpSc6E7/2JqxYqEArrwTdOjnldTatX84fMxT27UmzPUPzS4WatqZil/KzRv0mJWlGWq6NN\n3eoPjrxS+fPXqvW5R97SJeX5evzPr9SKsrwRr8PUedyupOqljZVfbq9RQXa6brpojnKS7LjrXTXt\nKi/I1LdvX6nTXX36f3+MTMthRjGQnBgkimk72tStv35kj1aV5+vWxf6Y33/RbI9uuLBED22r0Z9e\nt3jE+bcdPr86fIFzVoozXVJmmjNp2yc6fH698Haz0pyGstJdynY7lT3wz8ivXcpOd8rlHP69bXNX\nn/Y3dOlvblw2oWdVluUqGDZ1tKlHF809N/CapqkfvVKt9QsL9ItPXKa0EZ6H6cse3Gg38kSWVNTU\n1acX3m7WJ65aKLfLeTYU9yf+SrFpmtpxsl3XLC3SmooCvXd1mX6w9YRuX1POjGIgSRGKMS1dfQE9\n8NAuZaY79d8fuVSH39wel+d88tpFeu5gk36zs14fvWLBsPfXtJ47eUKKzH4tyXUn5Upx9RmvPv6z\nKp0c+O8aS7rLoez0SFD2uF3KcjvVFwhL0pjziYeKrvwebOwaFor31neqoaNXf/nOpQTiOMpxu9Tj\nD8o0x1/ZTxWP7KhTKGzqrvWRDXZn2ycSf6W4ptWnMz39g8fUf/HmC/XcwSb941MHtaAwmxnFQBIi\nFNtEu9evYNjU7JzY/SUdDpv67OY9qmvz6Vf3b1BpXqbidRbVmooCramYpR+/ekIfvmz+sNXRmrZI\neFxQlH3O68W5GUk3q3j7iVZ98he75DAMPfQn61WalymfPyhvfyjyT39I3v6gvP1B+fwhef1B+foj\n/4y+Ziio96wq0/I5E2tTqSjIUla6c8S+4qf2nVKa09CNlWOP0MP0ZLtdMk3JLnvtQmFTD1fV6sol\nhYN/bpOpfSLaT7x2QWRj8Zy8DP3ZxiX69rOHNTc/kxnFQBIiFNvEX2x+U529AT3+51fF7J7fe+GI\nXjzUrG/ctmLM2cSx8sA1i/TJh3bpmQOn9e6V527yqjkTObhjaE+xJJXkZmhvfUfca4uVx96s19/+\n716VF2TpZx9bN3hkdbw5HIYuLM0ddtyzaZp6cu8pXbmkSHlZjF2Lp+g0lr5g8h9cMREvH2lWY2ef\nvvLuysHXMtKcSnc5kmIk266aduVlpmnJ7LPzuf/kqoX69Y461bb5dPXSIgurAzAV/CzUBnr6g3rj\neKv2NXSq0xebLzbPHjit7790TLevmaePbKiIyT3H884LS7SwKFs/3Hpi2EzQk60+zcnNUEbauf2Y\nJTmR9onzr080pmnqu88f0Wd//ZbWVMzSY3965YwF4qgVZbl6+1S3wkNOE4u2TtxycemM1mJH0VXS\n3sRfJI2JX22vVZHHrRsqzz0FMTfDlTQrxWsrZp2zGpyR5tRX3nWhJCZPAMmIUGwDrx87o2DYlGlK\nO2smdmTyWI41d+tzv45srPvGey+SYczMjwidDkOfuHqh9tZ3atuJc/87alq95/QTR5XkZqgvEFZX\ngn+RfWhbjf7txaP64Jp5evC+yyxZla0szVVPf1C1bWf7mGmdmDnZAxtI+0KJ/Q1cLDR29OqlQ826\nYx4eMRkAACAASURBVO28YX3qORlpCR+K27x+HW/xas2C4TPZb6gs0RdvXq6718/MYgGA2CEU28DW\noy3KSncq3elQVfX0QnFXX0APPHh2Y935K7Px9oFL56kwO10/euXco5/Pn1EcVZwb6aFuSeBZxd19\nAX3vhaO6fFGhvv3BlYOHj8y0wc12A33FpmnqD/tonZgp0fYJO6wUb95RJ1Ma3GA3VE6GK+HnFO+q\naZckrVswvG3MMAx96trFungeYwuBZEMoTnGmaeqPh1t0xeJCrSrP0/ZphOLoxrraNp/+68NrVJo3\n8z8ezEhz6qNXLNBLh5p1tKlbUqQ95ExPvyqKRl4plhL7VLsfvVKtNq9fX7x5+Yytuo9kaYlHTocx\neLLd3vpO1bfTOjFT8ge+8fAGUnulOBgK69c7anXN0tkqLxj+ZzYnCdondp5sU7rToYvnEnyBVEIo\nTnHVZ7yqb+/VtRfM1vqFBdrf0Dl46tJkfe/Fo3rxULO++p7KGdlYN5p7NlQoI82hH26NrBbXDowt\nG2ml+GwoTsyV4ubuPv34lRN618pSrRo44tYqGWlOLS32DG62e2rfKbkchjad1/OJ+IiO7+rsT+1Q\n/OKhZjV19evuy4avEktSjjst4VeKd5xs08p5eTP+kzIA8UUoTnFbj7RIkq69oFjrFhQoGDb1Zu3k\npzE8e+C0vv/iUd2+Zp7umaGNdaOZlZ2uO9aW63d7GtTU1aea1sjkiZF6iosHRtAl6krxv794TP5g\nWJ/fNLFDNuItetxztHXiqqVFEzoRD9NXkJ0uhyF1+lM7FP9qe61Kct16xygztBN9pdgfMrWvoXPE\nfmIAyY1QnOJePtKiBYVZml+YpTUVs+QwNOkWisGNdfPyZnRj3Vg+cdUihcKmfvbaycEDLkaa1pDt\ndinH7UrIleKTZ7x6uKpWd62fr4VFMztpYjSVZblq6urXlsPNtE7MMKfDUEG2W10pvFJc1+bT1qMt\nunPd8FnjUYm+0a66M6xAyNS6Cut+WgYgPgjFKawvENK2E2269oLZkiJfbFaU5amqunXC9zhnY909\naxLmx4XzC7N080Wl+uX2Gh1o7FSRJ10e98hjt4tz3WpOwI1233nusNKcDn3mHUusLmVQZVmuJOk7\nzx6hdcICRZ50daXwSvHDVbUyJH1oXfmo1+RkuNTTH1QonJj/H462R05XWVPBSjGQagjFKWznyXb1\nBkK6dtnswdfWLyzQm7X/f3tnHiZHWe3/z5l9z2Qyk8m+kQQISwJJ2IQgiwgiXBQREBcuCrh7Ve7l\niriiP1FERQVFUUQWAa+ggsoiO7ITSRCEJGSb7Jlkksy+9fv747w9U+nMTCYz1d013efzPP1MV3V1\n1XeqqqtOnfcsO2jv2nvbrCgk1g3EJYtm0NjWxV9e3ThgTd/aiqLIhU8sXbeD+5du5OLjpjO2vCjd\ncnqYM16N4tc37rLQiTRQU16YsTHFnd0x7n5pHSceMJYJlf1fS+L1mpsi6i1etiPGzLFljC6134Zh\nZBqRMopFpEhEXhCRJSLymoh8w8+/RkTeEJGlInKviKQ3I2mE8MSyLRTk5nDUjDE98xZOq6K9K8ar\n63YO8E0lKol1/TF3ciVHTq/Cub7jieOoURwdT7Fzjqv/9gZVpQVcvGhGuuXsRmVJARO9wWKhE6mn\nuixzjeKHX99MfVP/CXZxKoq0CkcUu9rFYo4VDd0stHhiw8hIImUUA+3Aic65ucA84FQROQp4GDjY\nOXcosAz4Uho1jhieXFbPwumjKSnoDSuIX8xfWD1wXPFDPrHufRFIrBuIS7xRObWqf0/x2IpCtuxq\nj0xXuxdXN/DMW9v4zIkzKS+KXv3fORMqLHQiTdSUF7Krw0XmXA2T259fw8TKYo6f3XeCXZy4pziK\nccXLtzTR0gULLJ7YMDKSSBnFTmnyk/n+5ZxzDznn4lfI54BJaRE4gti4s5U3Nzf2xBPHGVNWyKyx\nZQM28VixpYkv3L2EuZNG8a2IJNb1xwn7j+XK0w/kfQv6PyVqy4vo6I6xI6QW18Nl6Tqt/nHWvIlp\nVtI3nzlxJt8/Z66FTqSB6rICOmNaezuTWF3fzD9WbOO8hZPJzRn4ehJ/UIxiWbYXvTOhr6YdhmGM\nfCRqHgkRyQVeBmYC1zvnLk/4/D7gLufcbX189xLgEoDa2tr5d955Z9J0NjU1UVZWlrT17wt9aXli\nXSc3/6uDq95WzOTy3Z99fvNaO89t6OKGk0vISTB4Wzod33y2lZYux9eOLmZM8b49N0Vxv7ywqYsb\nXmnvc1+kUkec2//dzpPruvj5ySUpf+CI4vGJAlHR8o/1nfzy1Q6uPq6YcaXp9VmEuU/uerODB1d3\ncu3xxYwuGvj/Wrmzm28+28bnDi/ksLF5oWsZDjcuaeO1+i6uO7E0Es6CqOyXqOgA09If2a7lhBNO\neNk5t2CvCzrnIvkCKoHH0LCJ+LwvA/fijfmBXvPnz3fJ5LHHHkvq+veFvrR88raX3RHfftjFYrE9\nPvvjP9e5qZff715dt2O3+d3dMXfRzS+4/b70F/fcW/WhaUkXcS0vrtrmpl5+v3v8zS1p1RHn4lte\ndCdf+3gktKQT07InT7y5xU29/H73/Mpt6ZYS2j5p6+xyh33zIXfpb18a1PJvbWl0Uy+/392zuC50\nLcPl2O8+4s7+wd/SLaOHqOyXqOhwzrT0R7ZrAV5yg7A9IxU+EcQ5twM1ik8FEJELgXcDF/h/0OiH\nru4YTy3fyqJZNX16M+JDf4khFNf5xLqvvHsORwaS80Y6Uetqt35HKxNHR6uShxENanyzmfqmaFVL\nGQ4P/GsT25s79ppgF6c3fCJaISQtHV3UbW9lSkVkb5uGYQyTSP26RaQmXllCRIqBdwBviMipwP8A\nZzrnWtKpcSSwZN1OdrV17VaKLciEymImjS7ezSh+6LVNXOcT6z58dHQT64ZC3NDYEiWjeICSVEb2\nEm/1nElG8R3Pr2VKVQnHzqwe1PJRTbRbuVU7Z45Pc1iLYRjJo+9uB+ljPHCLjyvOAe52zt0vIiuA\nQuBh7/l8zjn38TTqjDRPLNtKjjDgTeiI6VU8/uZWnHO8tbWZL9y9hENHQGLdUCjKz6WyJD8StYqb\n27vY0dJpnmKjT6pKCxCgvjH952oYrNjSyPOrtnP5qQeQs5cEuzhF+bkU5OVEriTbW1s1B3yCGcWG\nkbFEyih2zi0FDutjfnRafo0A/rm2gTkTKgasHnDk9CruWbyeV+p28MXfL6EoP4effzA6HevCprY8\nGrWKN+xoBTBPsdEnuTlCeQFszRBP8R3P15GfK5wzQHWYvqgoyoucp3jFliZyc4SxpZnlNDAMoxd7\n5M1AVm5tZmbNwJmdR0zXmOGP3fISa7e1cP0HDh+wy9RIZ2xFIZsj4H1bZ0axsRdGFeawtbEj3TKG\nTVtnN39YvI5TDhrXExYyWMqL8iNpFE+pKiF/kB5vwzBGHmYUZxhtnd1s2NnK9OqBjeJpY0qoLitk\nW3MHV55+YEYl1vVFbUVRJGKK1zd4o9jCJ4x+qCjIjJjivyzdyM7WTi4YZIJdkPKivMjVKV6xpYn9\n9uJsMAxjZBOp8Alj+Kze1oxzML2m/w5vACLCxcdNp6Glk48cMy014tLI2PJCtjS2E4u5Qcc2JoP1\nO1rJyxHGlhelTYMRbSoKhboMMIrveGEtM6pLOXoID9zlEQuf6OqOsXpbMycdWAs07XV5wzBGJmYU\nZxirfIb0jOqBjWKAS4/fL9lyIkNtRRHdMce25o6eahTpYH1DK+Mri/ba1cvIXkYV5LB4i7YlH6lJ\nr29s2sXLaxr48rsOHNL/UF6Yz9bG6Bifa7e30Nnt2K+m1Gxiw8hgLHwiw1hZr0bxtEEYxdlEbYUa\nwulOtrNybMbeGFUotHfFRnSr5zueX0tBXg5nz9+3BLs4UfMUr9iilvDMsRY+YRiZjBnFGcaq+mbG\nlhdSVmiDAEHG+gYeWxrTaxRv2NHKxMqStGowok2FLxpT3zQyk+1aOrq4d/F63nXwOKpK+6+AMxBR\nS7R7y4/A7WdGsWFkNGYUZxir6puZsZd44mykxme/b01jBYrO7hibd7VZkp0xIKMKNdxgpCbb3b90\nI43tXXzgyKE3ASovyqOpvYvuWDSal67Y0kRtRSEVvtueYRiZiRnFGcaq+ua9Vp7IRiqK0986dtPO\nNmIOJln4hDEAowr1spzOB7jh8NLq7YwpLWDhtNFDXke8q11TRLzFK7Za5QnDyAbMKM4gdrR0sL25\nY1BJdtlGeWEeIrArjTfZdb4cWybXgzaGT0XByPYUr9nWwrTq0mElCcY9slHoauecY+WWJosnNows\nwIziDGKVT7KbbkbxHuTkCGUFeexqTd9Ndv0Oq1Fs7J3yAsiRgVs970zjebw31m5vYeqY4cXNxz3F\nUYgr3tLYTmN7lxnFhpEFmFGcQaz0ySB7q1GcrVQUpzd5J964Y/woq1Fs9E+OCFWlBWztJ9Hu5TUN\nHH7Vwyzf3JhiZXunrbObTbvamFo1vGtQeVE83Cn9xn+88oSFTxhG5mNGcQaxqr6Z3Bxh8mirbtAX\n5UV5aR2OXb+jhZryQoryc9OmwRgZVJcV9htTvHhNA90xxyt1O1Ksau+sa2jBOTLKU/zWVivHZhjZ\nghnFGcSq+mYmjy6mIM8Oa19UFOWn1fNkNYqNwVJTXthvTPGb3kO8Ymv0ukis2dYCwJSwjOL2aHiK\nywvzGJvGpj+GYaQGs54yiJX1zRZPPADpbgiwYYeVYzMGR3VZ/0ZxPGxixeboGsVTq4ZrFKe/Wkyc\nFVuamDG2bMR2FzQMY/CYUZwhxGKO1VaObUDSGT4RiznW72i1cmzGoKguK6C+SVs9B4nFHMu8Mbx8\nSxSN4mbKCvOG3LQjTtTCJ2ZaPLFhZAVmFGcImxvbaO3stsYdA5DORLv65nY6umJWjs0YFDXlhbR1\n7tnqeV1DK62d3UwYVURdQwttnd1pUtg3a7a3MKWqZNhe1aL8XApyc9Jekm1XWyebd7VbPLFhZAlm\nFGcIq3zlCatR3D/x8IlE71sqiFeesJhiYzBU+w6Mia2el/nQiXcdMh7nepPAosLabcMvxxanoji9\n4U4Ab/VUnrDrqmFkA2YUZwgr660c296oKMqnO+Zo6Ui9d81qFBv7Qq9RvHtccTzJ7rRDxgG95cKi\nQHfMUdfQMuwkuzjlRektoQi9+9c8xYaRHZhRnCGsqm+mOD+X2nKrgdsf5WnsktXjKTaj2BgEPUZx\nQlm2ZZsbmVhZzMETR5GbI5EyijfubKWz2zFtTDgP5jqyk97wibe2NpOfK0wZZuKgYRgjAzOKM4SV\nW5uYVl1KTo5lSPdHRXH6knfW72ilvCivp32tYQxEjS//tTXRU7ypkdm1ZRTm5TK1qoTlEapAsTak\nyhNx0l0tBtRTPG1MKXm5dqs0jGzAfukZwqr6Zosn3gs9nuI0tMjdYDWKjX2gqrRgj1bPXd0xVm5t\nZva4ckCH9JdviU5XuzXbw6lRHKe8ML11xcFXnrDQCcPIGswozgC6Yo66hlarUbwXKtJY5mldQyuT\nLHTCGCS5OXu2el69rYWO7hj716pRPKu2jDXbWujoiqVL5m6s2dZCfq4wflQ453m6PcXtXd2s3d5i\nRrFhZBFmFGcAW1sc3TFnRvFeSGtMsXmKjX0ksYFHvPLE7NpeT3FXzLFmW3Na9CWyZlszk0eXkBtS\nCFe6E+3WbGuhO+bYz2oUG0bWYEZxBrCpRT1FVnliYOIxxbtSfKNt6XQ0tnVZjWJjn6gpL2Rr4+5G\nsUhvJYRZY9U4jkoTjzXbwqs8AeopbmrvojuW+hKKYJUnDCMbMaM4A9jUrDcNiykemIqe1rGp9RRv\na9PjY5UnjH2hL0/xtDGlFOXnArBfTRkiRCLZzjnH2u0toSXZQW9Xu6Y0eYvjNYqtIZJhZA9mFGcA\nm5tjVJUWUFkyvNaqmU5hXg75ucKu1tTeZOtb1ZNv4RPGvpDY6vnNTY3MCngtiwtymVhZzIoINPDY\n3txBU3sXU0Iqxwa9D7Hp6mq3YmsTEyuLKSnIS8v2DcNIPWYUh8RdL67lhO8/Tld36pNeNrXELJ54\nEIgIFUWpz2jf1mqeYmPfqS7TVs/NHd20d3WzelsL+/vKE3FmjS1j+eb0V6CIV55Ihqc4HXHFzjne\n2NjIfhY6YRhZhRnFIVGUn8uq+maWpWEoc1OzJdkNlvKivJTHFG9rcxTk5VBdWpjS7Rojm55axY3t\nrNzaTHfM9STZxZlVW87K+ua0xd3GidconlYdplGcnnAngKeW1/Pm5kZO3L8m5ds2DCN9mFEcEnMn\nVQLwSt2OlG63qb2LHe1mFA+WiuJ0eIpjTKwstsYqxj4RbPWcWHkizsyaMjq6YtR5T226WLOtBRGY\nNHrke4pjMcfVf3uDyVXFnH/klJRu2zCM9GJGcUhMHVNCZUk+S1JsFK+u13JMlmQ3OMqL8lLevKO+\n1Vk8sbHPBFs9v7mpkbwc2ePhd2atDu+nuwLFmu3NjKso6kkCDIMeo7g9tb/X+5Zu4PWNu7jslP0p\nzAvv/zEMI/qYURwSIsLcSZUsWZdao3ilN4qtHNvgqEhD7dNtbWYUG/tOPHxCPcVNzKgppSBv90t2\nvFxYujvbrdnWwpQQ44khGD6Rut9rR1eM7z/0JnPGV3DGoRNStl3DMKKBGcUhMndyJcs2N9LcnrqL\n+KqtahRPCzHrO5NJdZests5udrY7q1Fs7DPxVs9bGzV8IjF0AvQhr7aisKembrpYs62FqSHWKIb0\nhE/c8fwa6ra3cvlpB1i4k2FkIWYUh8hhkyuJOXh1/c6UbK+ts5uH/72JmmIJddgyk6koyk9piaeN\nO9sAqzxh7DvxVs9rt7ewdntLn0YxaBOPdBrFze1d1De1MzXkB/Oi/FwKcnNS9nttbOvkx4+u4Jj9\nxrBoVnVKtmkYRrQwozhEDp00CiAlccXdMcd/3fkKr23Yxbn7W33iwVJelE9LR3fKSuetb2gFrEax\nMTSqywp5duU2YM8kuzgzx5axYksTsTRVoFjrk/zCDp8A7UKZKk/xL59axfbmDi4/9QBEzEtsGNmI\nGcUhMqaskMlVxSmJK/5/f/03D7y2iStPn8OCcVZcfrCkekh2XYMaDJPMU2wMgZryQjbv0q52iTWK\n48wcW0ZLRzcbd7WlUloPa3w5trDDJ0AfYlPxW93a2M5NT63k9EPGM3dyZdK3ZxhGNDGjOGTmTqpk\nSV1ywyd+/fQqfvX0Ki48ZhofPXZ6UreVaVQUpzZ5p66hhRyB8aOKUrI9I7OIV6AozMvp1xMb73KX\nriYea7drXsPUqvDzGjQHIPnhEz95dDntXTEue+f+Sd+WYRjRxYzikJk3uZL1O1rZ0pgcr80D/9rE\nVX95nVPm1PKVd89JyjYymbinOFVxinXbWxlTJOTl2k/N2HeqyzQ0aubYMnL7Sfya5cMq0hVXvGZb\nC5Ul+YwqyQ993alIjF1d38wdz6/l/CMmW713w8hy7E4dMvP80FsyvMUvrd7O5+78J3MnVXLdeYf1\ne5M0+qfCl3lKmVHc0EJ1sR0nY2jEPcX79xNPDFqloqq0IG1G8drtLaG2dw5SXpj8Zjvff+hN8nNz\n+OxJs5K6HcMwoo8ZxSFz0IRR5OZI6Ml2f3h5HR+46XnGjyripo8soLjAqk0MhR5PcWuKwie2t1BT\nYj8zY2jEaxXPGsAoBvUkp6uBx+ptzUxJUknIZHuKl67bwf1LN3LxcdMZW24hToaR7djdOmSKC3I5\nYFx5aMl2Xd0xrrr/db74+yXMnzKaez75th7vkbHvjOqJKU6+p7ilo4v6pg5qzFNsDJFxFWqoHTB+\nYKN41tgylm9uxLnUVqDo7I6xYUdb8jzFSU60++4Db1BVWsDFi2YkbRuGYYwczChOAnMnV/JK3Y5h\nl0ja0dLBhTe/2JNU99uPHkFVqZVfGw6prD6xzpdjqym2n5kxNI6aMYbrP3A4x8+qGXC5mWPL2NXW\nxdbG9hQpU9Y3tNIdc0xJQuUJ0N9rU3sXsSQY+08t38o/Vmzj0yfM7OmeZxhGdmN36yQwb1IljW1d\nrNrWPOR1vLmpkTN/+g9eWLWd773vUL5+5kHkW7LWsCkrTF2iXZ2v31pdYp5iY2jk5AinHzp+r93V\nDp6oNdIXr21Ihawe1vhzPHmeYv29JkY7Nbd3sbNl6L/hWMxx9d/eYNLoYi44aspwJBqGkUGYlZUE\n5k2JJ9sNLYTigX9t5D03/IO2zm7uvPQo3r9gcpjyspq83BxKC3JT4imOG8XmKTaSzbzJlZQV5vHE\nsvqUbnetf/APu5tdnHhibEvn7p7ij9/2Muf+4tkhh4vct3QDr23YxWWn7E9hnuVnGIah2N06CexX\nU0ZpQS6v7KNRHIs5fvDwMj5+22Jm15Zz32eO5fApo5OkMnspL8pnV2sKPMUNrRTn51JhES9GksnP\nzeHo/cbw5LKtKY0rXru9hcK8HMaWJyfPoddT3Ps/rdjSyFPL63ljU+OQPOMdXTGufWgZB46v4My5\nE0LTahjGyMeM4iSQmyMcMmnUPnmKm9q7uPS2l/nxI8s5Z/4k7rzkKGorLBs6GaSqdeza7S1Mriq2\nlrFGSlg0u4b1O1pZVT/0sK19Ze32FiaNLt5reMdQicf6BsMnbntuLQW5OZQU5HLnC3X7vM7fvbCW\ntdtbuPzU/ZOm2zCMkYkZxUli7uRKXt+4i/au7r0uu7q+mfdc/w8efWMLXz9jDt9736EU5duQXrIo\nL8pPWUzx5NHJibU0jETiyXhPLtuasm3WbW9lcpLiiaHXU9ziPcUtHV38YfE6TjtkHGfOncD9Szfu\nUyWZpvYufvzIco6eMYbjZw+cvGgYRvZhRnGSOGxyJZ3djn9vHLj16hPLtnLmT5+mvqmdWy86ggvf\nNt08i0mmIgVdspxzrGtIrsFgGEGmjClh6pgSnlqeurjiuoaWfttPh0Fiot2fX9lAY1sXHzxqKu9f\nOJnWzm7uX7px0Ov75ZMr2dbcwf+edoBdZw3D2AMzipPEXN/Z7pV+Yt6cc/ziybf4z5tfYEJlMX/+\n9LEcM7M6lRKzllR4ine0dNLU3sWk0cVJ3Y5hBFk0q4ZnV26joyuW9G3tbOmksa0rqaMh5YFEO+cc\ntz63hgPGlbNg6mgOm1zJ7Noy7npxcCEUWxvb+eVTK3nXIeN6rs+GYRhBzChOEuMqihhbXsiSdXu2\ne27r7Obzd73C//vrG5x28Hju+eQx5lFMIamIKa5r0MoTdlyNVLJodg0tHd28tGZ70rfVe44n78Ev\nmGj3St0OXtuwiwuOmoqIICK8f8FkXqnbwZubBh6RA/jJo8tp74px2Sn7J02vYRgjm7x0C8hURIR5\nkyt5buU27nh+bc98h+POF+r414ad/Pc79+eTb9/PhvFSjHbJ6sQ5l7R9v9aXY5s8uoQtqQvxNLKc\no2ZUkZcjPLW8nmP2S+7IU7zk4KQkeoqL8nMpyM2htUsT7EoLcnnPYRN7Pn/v4ZP47gNvcNeLdXz1\njDn9rmfNtmbueH4t5y2czIyasqTpNQxjZGNGcRI5dlY1D72+mSvufXW3+eWFedz04QWcdGBtmpRl\nNxVF+XR2O9o6YxQXJCehsW67drObXFXMlqRswTD2pLwon8OnjubJZVu5/NQDkrqtnge/JI+GlBfl\nsbW1m6V1GzhnwaSeBjwAVaUFnDJnHPf8cx2Xn9Z/zeHvP7SM/NwcPnfSrKRqNQxjZGNGcRL50FFT\nOe3g8Xu0KK0oyk+aMWbsnd5Wz53JM4obWhhdkm/tY42Uc/zsGq558E22NrZTk6T6waDneEVRHqOK\nk3uOVxTns3hzB90OPnjU1D0+P3fhZP7y6kYeem0zZ/RRd/jVdTu5b8kGPnPiTMZamUvDMAbAYoqT\niIhQU15IbUXRbi8ziNNL3ChOZrJd3fYWiyc20sJxszRs4ukVyY3bqdveypQxyT/Hy4vy6HawYOpo\nDhhXscfnx86sZmJlMXe/1HfC3XcfeIPRJflcsmhGsqUahjHCMaPYyDoqvGdrVxKT7dY1tFqNYiMt\nHDxhFFWlBTyV5JbPdQ2pqcMdf4j90NF7eokBcnKEcxZM4qnl9T1xzqAVfh57YwtPr6jn0yfOslEb\nwzD2ioVPGFlHRdxTnKRWz90xx/qGVk45yGLGjdSTkyMcO7OaJ5fXE4u5pHRti8W0DvfJKciLGFNa\nSHkBnHrwuH6XOWfBZK57ZDlX3Psqo0sKWL2tmVX1zTS2dTGxspgPHjUl6ToNwxj5mFFsZB0V3mOU\nrLJsm3e10dEdM0+xkTYWza7hz0s28O9NuzhowqjQ17+1qZ2OrhiTU1CH+4p3HcjR5Q39JtEBTKws\n5pQ5tTz8+mYmji5m2phSzpo3kaljSnjnQeMG/K5hGEYcM4qNrCM+jJqsmOL4EG4yO30ZxkDE44qf\nWl6fFKM4XnliUgrO8XGjihhftvdIv59dMJ+umKMgz6ICDcMYGnb1MLKOiuJ49YnkeIrrGuLl2Mwo\nNtJDbUURB4wr58llyUm2qwvU4Y4KOTliBrFhGMPCriBG1lGcn0tujtCYRE+xCEyotPJPRvpYNLuG\nl1Y30NIR/sNfvA63tTE3DCOTMKPYyDpEhIqiPHa1JstT3MK4iiKLYzTSynGzqunojvH8yvBbPtc1\ntFBbUUhRvp3jhmFkDmYUG1lJvNVzMli33cqxGeln4bQqivJzeCIJIRR121NTjs0wDCOVmFFsZCXl\nRXlJq1O81hp3GBGgKD+XI6eP4cnl4RvF6xpa7Rw3DCPjMKPYyEoqkuQpbu/qZnNjG5OrLNbSSD/H\nzapm5dZm1jW07H3hQdLRFWPDztaUlGMzDMNIJWYUG1lJeZJiitc3tOJctLLyjezl+Nk1gJZmC4sN\nO/w5bp5iwzAyDDOKjaykojg5nmIrx2ZEiZljyxg/qijU0mx13uts57hhGJmGGcVGVpKsmOKeTFta\nbwAAIABJREFU+q0WPmFEABFh0awanl5RT1d3LJR1xsuxmVFsGEamYUaxkZVUFOXT1N5Fd8yFut66\n7S0U5OZQW241io1ocNzsahrbuliybmco66traCE/VxhXYee4YRiZhRnFRlZSXqRd7Zraw/UW1zW0\nMGl0MTk5Eup6DWOoHDuzmhwhtBCKuu0tTKgsJtfOccMwMgwzio2spKI4H4BdreHGFddtb2WSDSsb\nEaKypIBDJ1WGVprNahQbhpGpmFFsZCUV3lPcGHJccV1Di5WqMiLHolnVLKnbwc6W4T8E1lmNYsMw\nMhQzio2spKLIe4pDrEDR2NbJjpZOMxiMyLFodg0xB/94a3il2Zrbu9je3GGJpIZhZCRmFBtZSbk3\nisP0FPdk5dvQshEx5k2upLwwb9hxxT3l2OwcNwwjAzGj2MhK4ol2YcYU37N4HQCza8tCW6dhhEFe\nbg7HzBzDU8vrcW7oFVesHJthGJmMGcVGVhJPtAurgcczK+q56elVfOioqcyqLQ9lnYYRJotm17B+\nRytvbW0e8jp66nBb3LxhGBmIGcVGVtLjKQ4hfGJnSydf/P0SZtSUcsW7Dhz2+gwjGSyapS2fhxNC\nsXZ7CyUFuVSVFoQlyzAMIzKYUWxkJfm5ORTn54biKf7Kn/7F1sZ2fnTuPIoLckNQZxjhM7mqhOnV\npTw1jNJs6xpamFJVgojVKDYMI/Mwo9jIWsqL8oadaPenV9bz5yUb+NxJszh0UmVIygwjOSyaVc1z\nK7fT3tU9pO/XbW9lkiXZGYaRoZhRbGQtFcX5wyrJtn5HK1f+8V8cPqWST7x9vxCVGUZyWDS7htbO\nbl5a3bDP33XOaR1uK8dmGEaGYkaxkbUMx1Mcizkuu3sJsZjjh+fOIy/XfkpG9Dlqxhjyc2VIccXb\nmzto6ei2cmyGYWQsdic3spaKovwhl2T71dOreHblNr52xkFMHVMasjLDSA6lhXnMnzqaJ5fvexOP\nugYrx2YYRmZjRrGRtQzVU/zvjbu45sE3OWVOLecsmJQEZYaRPBbNruHfG3expbGt32ViMcem5hgr\ntjT1vF5eoyEXU8woNgwjQ8lLtwDDSBflRfseU9zW2c3n73qFiuJ8vvPeQywL3xhxLJpVw/ceeJOn\nltVz9vy+H+p+88xqvvlUKzz1xG7z83KESVaj2DCMDMWMYiNrqSjO2+c6xdc+9CZvbGrk5gsXMqas\nMEnKDCN5zBlfwZjSAp5avrVPo9g5x50vrmVyeQ7//e65u302sbKI0kK7bRiGkZnY1c3IWiqK8uno\nitHW2U1R/t7rCz/zlnat++BRUzjhgLEpUGgY4ZOTIxw3q5qnltcTizlycnYf7Xhtwy6WbW7iw3MK\nOHPuhDSpNAzDSD0WU2xkLRW+q91g4op3tnZy2d1LmD6mlC+/a06ypRlGUlk0u4ZtzR28vnHXHp/9\nYfE6CnJzOHK8+UwMw8guzCg2spbyonyAQXW1++qf/sWWxnZ+dJ51rTNGPsfOqgbgyYTudp3dMf78\nygZOnjOW0nyLlzcMI7swo9jIWiqK1RO2t7jiP72ynj+9Yl3rjMxhbHkRB46v2KNe8RNvbmVbcwfv\nPcyqqhiGkX2YUWxkLYPxFG+wrnVGhrJodjUvr2mgub33ofCef65jTGkBx+9fk0ZlhmEY6cGMYiNr\nGV2iRvFzK7f1+Xks5viida0zMpRFs2ro7HY95//Olk7+/voWzpw3gXw71w3DyEIideUTkSIReUFE\nlojIayLyDT//HD8dE5EF6dZpZAb71ZRxxtwJXP/YW9z4xFt7fP7rf2jXuq+eMce61hkZx4JpoynO\nz+0Jobhv6QY6umOcfbiFThiGkZ1ELb24HTjROdckIvnA0yLyN+BfwHuBG9OqzsgoRIQfvn8uzjm+\n87c3ALj0eA2ReGPTLr73gHate/+CyemUaRhJoTAvl6NmVPW0fL5n8Tr2ry3noAkVaVZmGIaRHiJl\nFDvnHNDkJ/P9yznn/g1Y9zAjdPJyc/jRufMAegzjC982jf+607rWGZnPotk1PHbf6zy1fCuL1+7g\nS6cdYOe7YRhZi6gdGh1EJBd4GZgJXO+cuzzw2ePAZc65l/r57iXAJQC1tbXz77zzzqTpbGpqoqys\nLGnr3xdMS9/si5bumOPGpe28sKmb6aNyWLUzxufnFzK3ZvjPjSN1nyQb09I3qdSyoSnGFU+3Ul0s\nbGt1/ODtxYwuykm5jr1hWvomKlqiogNMS39ku5YTTjjhZefc3sNvnXORfAGVwGPAwYF5jwMLBvP9\n+fPnu2Ty2GOPJXX9+4Jp6Zt91dLZ1e0+dfvLburl97sv37s0bTqSiWnpm2zVEovF3DHfecRNvfx+\n98Gbnkubjr1hWvomKlqiosM509If2a4FeMkNwnaMVKJdEOfcDtQoPjXdWozsIB5KcdOHF3Dl6da1\nzsh8RIRFs7WRx/vmW4KdYRjZTaRiikWkBuh0zu0QkWLgHcB30yzLyCLycnM4eU5tumUYRso4d+EU\ntuxq55Q549ItxTAMI61EzVM8HnhMRJYCLwIPO+fuF5H3iMg64GjgLyLyYFpVGoZhZAjzJlfyqwsX\nWvtywzCynkh5ip1zS4HD+ph/L3Bv6hUZhmEYhmEY2UDUPMWGYRiGYRiGkXLMKDYMwzAMwzCyHjOK\nDcMwDMMwjKzHjGLDMAzDMAwj6zGj2DAMwzAMw8h6zCg2DMMwDMMwsh4zig3DMAzDMIysx4xiwzAM\nwzAMI+sxo9gwDMMwDMPIeswoNgzDMAzDMLIeM4oNwzAMwzCMrMeMYsMwDMMwDCPrMaPYMAzDMAzD\nyHrMKDYMwzAMwzCyHjOKDcMwDMMwjKzHjGLDMAzDMAwj6zGj2DAMwzAMw8h6zCg2DMMwDMMwsh4z\nig3DMAzDMIysx4xiwzAMwzAMI+sR51y6NSQFEdkKrEniJqqB+iSuf18wLX0TFS1R0QGmpT9My55E\nRQeYlv6Iipao6ADT0h/ZrmWqc65mbwtlrFGcbETkJefcgnTrANPSH1HREhUdYFr6w7REVweYlv6I\nipao6ADT0h+mZXBY+IRhGIZhGIaR9ZhRbBiGYRiGYWQ9ZhQPnV+kW0AA09I3UdESFR1gWvrDtOxJ\nVHSAaemPqGiJig4wLf1hWgaBxRQbhmEYhmEYWY95ig3DMAzDMIysx4xiwzAMwzAMI+sxo7gfRCQ3\n3RogOjrAtPRHlLQYhmEYhjE0zCjuAxER51y3f18VnJ+NOkzLyNDitxuZ37Rp2ZOo6IBoPcyZlr6J\ngpaInbOmpQ8ipkXSdf8Lg8jsyCjhnHMicpiI/BH4gYh8XkRGuRRnJUZFh2kZGVpEJMc5F/PvK1O9\nfdMyMnTEcc51i0iBiMwzLaalLxLO2fHp0GBaRpwW5++LxenUMlTy0i0gCnhvnwtM1wBXAdcCLcCv\ngDbgZ9mgw7SMDC2JOOdiIlLr9VSJyD3AM8651aYl/VqioiOOiHwC+E/gVRFZDdzjnHvNtJiWOP6c\nnQR8B6gWkaXAHc65JYnXQtNiWrwWAb4FzBaRu4EX03WNGwpZ7SmOD03FTxrv8asE9gNWAsXA9cCf\ngZsyXYdpGRlaBtA4CrgBeAL4AfBx4HzTEg0tUdHhtUwDDgWOBB4EzgMOMy2mpQ+uAv4GvB84Fvgi\n9F4LTUt2awmGSohIGfBzoAO4GvgM8BERGTkOWOdc1r2AY/A1mgPzFgF/AE4AxgGbgIeAiYFljsxE\nHaZlZGgJrDtRz2ygEJgJ/AaYDzzi349Jlg7TEm0dftu5gfeVwNlAEfA2r+Ea4HngfX6ZfNOSfVqC\nGvz0YcAhwGh/np6OPszdBFSn6pw1LdHU0oe2qf5vDdqY4xB01PRhYP9Uahn2/5JuASk+cDOBO4Bn\ngGlAFfDJwOdXAV8DDgSuAH7r5x8A3AdcDhRmig7TMjK0JGgakzDvAOA51DtQBbwCLAWOCiwzL0m/\nJdMSTR0CXAqMS5h/GPCC1zLd67op8HkV+qAnpiU7tAALgNqEeZOAnwJf8tMvAm8AMwPLnBLmOWta\nRoyWUXgDODCvFFgDnOzfP4COnn4wsMxsIC9sPcl4ZUX4hIgUish30BNnq3PuGKcxLtOB/xCRs/yi\n9wATgIPQofAJInI78HvgCefcd51z7SNdh2kZGVoCmipE5Drgt8A0n3jzXhEpds69ATwOnAFUo4b8\nc86550SkXERuBt4nIiWmJTlaoqLDazkPNaTmAU0iMkdEviYiFc65f6I3rPcAJV5LrYhUi8gHgadQ\nwz4UTEt0tfj1Xe/Xf6A/Z78iIgXOuXXoOTteRI4Cvgp0AxtEZIKI/Aa4QESqh6vDtIwMLV7PfwN/\nRR1BiMjRIjLBOdeMGuifQvPUXgDuBm73y30b+DwaYhh90m2VJ/uFGi2voQft18BFwGj/WTnwUeBO\noNjP+yFwP34oHDV8KgLryxnJOkzLyNASWMengS3AzUCRn3ccaoBdENjuX4B3ARPR0I7/8//LNYTn\nPTct0dVxFHrD6gY+FJh/Ejqc+SE/Xe2Xew9QAHwXHXp9BDg6pGNjWiKsBfgCsNGvL8/PK/Dn6LcC\nGv4X+Kaf/oHXsBhN6Modrg7TMmK0nAksR+914/28I4BbgPMDyz0PnANMBa5DQydeQo3jaWFoScUr\n7QKS/g/qcNP+gQN5K4FhBWAWGhj+BT/9MX9w30XAqBnuCRYVHaZlxGiZDDzmLyh/Qp+0xX9WDlwC\n/ITeWK6vAM+iF8o8dHhtWmB9w3lYMC0R1eG/e5xf99nAj4Av4R/OUO/MR9EHvZl+3rfQEI4pfjq0\nMB/TEl0taLzys+h17cuod3Fu4PP5qEEV1/B+v/y74xqAsSGds6Yl+lqq0If7B9EE8psTPv8i8G3g\nID99PhpGUemn9wcOCywfWvhRMl9pF5C0f2zPZJf4Desq/5rmp/P8BesN9On8EeDYTNIBFAykLdX7\nJCr7JbDtnKhoCWiYBCz07yegQ2XHBrTNQ7N7/9tPHw9sRr1LQQM9Z7gXI9MSXR1+HaPxyVdomM8T\nfntxLYegnqOr/PQX0SHOw5Nw3pqWCGsBDvB/K4DvAZcBJYHP/x/we//+KPTB7/NoKEdc67DP2aho\nCawn7VqitF/8Oiazu1PoTeD0wPTBqHf6E356ClqW9L/6WNewR01T9Uq7gND+EU1cOJs+klb8Zzn+\n/Wz0Kex9BLJ40WD29yd+b4g6zkm3jsB3v48O7ZakU4vf3geB49K9X/z2zsMbNek+RsHvs2eGcVzL\n14EbgaqAzlOBR1FP5d+Bc4ajoT9NpkWPS+KxSdc+ASYFtx2YHze6rkAzv6sDnx2NPsj92+scF4aW\nxP1gWnrWe2A/50s6tPTngHgPOsz9zsBnpX7796HhPWeGfGzSrgX1ptYm6kmTlv6u+2k7RgNovBhN\nPA/us/PQe+Tv0ZJwFxNygnmqX2kXENJBOw8dUrjTnyQX+/k5CQcwfgP7FDqENbef9Q1p+ButJ/mK\nP0keBS4EavxneanS4b9b4k/SW9k9IzWl+8R/90NoYsntaALbZ9OoZSb6xHu3P1afxA83pfoYBdbx\nCX+B2+PCGNBRjhpW72X3Ek6HAJ/DD1nFvzcMLWcQeKALXBDToeXd9FHOJ9Va0Av9m/Qao2nZJ35d\nD6JGdl7CZ0HvcxFaIvDchHN6LHDocM/XgJYfAR8J7ANJk5b5aHz/OQnzc9KgZQ5q2MaAUek6Rug1\n9wICOQ6BczZ+nErR4fmvETDAUQ/hO4HSvrQPQcsFqHHX1/Ut1Vo+jY70nZkuLYHtfAy4uq/P07Bf\nxvenld3v0U8Dnw5MF6D31KuAOWFoSfcr7QKG/Q9ondibgFP99DvROM/ggTwGuJLeYfBRaLLLWWEe\nPH/yXunfH+63cXHg82NTpEPQ+NfrA/MSS0WlSks5Wp3hJD99GtqVKbjM21Khxa/7I8B1/v2RaNzn\nJ+m9sadkv/h15wC3oQ8vJweOnbD7DTTX/70QNean9Le+YWg5Hk2MeAg1vH4a33YatIxDhwSf8Vqu\nxocAsbvBmVQtfp/8HbgLNYqDD9up3iclaLjOZxPm77Y/6PVEno8+aM0I+ZzNRQ3Qxaix/whwSzq0\n+HUfB7yKDjH/1f+ea/rQnOz9UhDYLxejSUnnJx73ZGsBTkFDef6EOol+QW/sclBH/Pe0CB0C/3B/\nx3sYWsq9lgfQBLEfAUf4z/JSrOVU9Jrya+CfwOWB45HS/RJYxz/8uXtGurSgYWCPo9f+o/tbL733\nx0XAv/AjHCRc0wgphCSdrxFZks2XKjlMtM/2JuAa59wDfvpBoJXesiHvRIepVjvnVouIOOd2Ap93\nzv3R+Z7hw9AxT0QK/axOIB/AObcY9Qa8XUTeJiLHo8Z76Dq8luK4DqdnZwlwhIhUicgNwC0icqWI\nHOFLuCRln3gtVSJyiC8d0wh8zjn3iIiMRW9e20TkdL/sSUnWMkZEFopIhZ/VAMwUkTzn3PPohWkm\ncJyIHEcSj1GCrlygFr2AnOac+7uIlLheYiIyXUT+FxgP4Jz7DVoc/SSR3i5Cfn0yVH2infnORGst\nn4Imib1NRAqdc91ey7RUaPEcDtQ7545BE5AOBN7vS5x1p2K/iMgc9AHqJufcuWgb7/L4+vw+mZrC\nfTIf2OGc+3Fcn4jkO+e6/fSX0HO30mv5HdCFZoKHyWh0NO4E59x1wP8AbSKSG9ByeYq0gMY1Puuc\n+z76UFIFnCkiRV7L/6ZIy8HAKjTH4Jeo4SB+mzGvJRX7ZQHwS+fcf6DVc2aixhb+nD1ARL6HOiJw\nzj0JbEfLvpUmrix+TIfIfsAW59ypwAeAtcCHRGScc65LRA5MhRbRcocnADc45y5C70HH+HtA/Pq2\nf6r2i4jkiEgVapxfB3xURMpSrcXfg05Ecx1eQPdJWXC9IpIvIpehv6u4lnVooijBa5q3v2Le/hi5\npNsq39cXWvB8DVrS6Db2LGo9Ax0Wj5fNGsMAHhqGPpSZqKMKeId//2W0hetf0LauZ6MXwn47EQ1V\nh//uN9EYo8S4o5+inogvoJ7j7wA/Aw7ey/qGo+XLwBK/X26nN3YrFw1F+AX6Q3wIHVYbP9D2hqnl\nCq/lN6jnZhx687qOXs91NZrp/Z/+fb8FxoejJbCOYDZuBXoxmopWJ/gDOgy1H3pzexn4ul82/qTe\npxdyiFri68yht5yY+P11O70ZzcekQMvBgfcLgT/SG3p0vj9vj/CvpGkBDuln/neBnwXO5aTuE7QQ\n/vn4ER60lNv9aEjJo/7971DPzX/49wcnaCkKScv+9HqtgiNwb0cfMu8AvurnvQ/1UB6UJC2L0KH4\n+LnxTtQ7HA+Bei8aj3ukf59sLWcTCI0JfPazwPlSkKz9gjphTiTBc4fGzd4CPIk+5FagXsGlwP8k\nrKMqpP2RS8BLj15v36C3ZOWhaOLYZ9AwkZRoIeG6jY76/Ry9RwpqMyRTSz46olGZMP/P6Mjkz4GL\n/LyJqPc4KVr8uoJhDqP9vjod+DG7J9IdgnqQ70ArpMRHxCpJCA3KpFfaBezjwcxBh4WO8tM/Bv7m\n38eHnU8Efh34TnyoKpSaff3ouB4fEoBmg16Dej9HAf8N/Dzw3dB0+PUdg94Q70SNwKl+fgnqKdiK\nv9GjGfG3ALOStE8+gQ4f1/of20/wNRQTt4eGLNybjP3itXwMjaeOlzS6Hb2BVuHDXOg1OL4I/C5Z\nx8iv8yx/sXsUDQeIVy6I1yD9IfrgcgvwDXTovmSA9Q3nYeFCYAWwKGF+HvBhtDFJPAzpXPRm2u9F\neZhaPozGmz+EJoUe6F8/wSdl+uP5c9RzW8sALUyHqiVBxzX4GHJ6HxbmoQ+e5X56Mn0YQ8PRgV6/\n8lGj7mV0qPd29JpW7M+VP+IfftHkvm8BB4ZxLPrQMwZ9sI+hnuHgZwVoOaiz0evcg/68yk+Slon+\nf3/a75PbUSNrIXr9PS6w7K8JdNNKgZbb6L0XFPq/R6PhP6P8dHnYWtAHpxVey2P4B33/2SLUmDkU\nTbT+pj9n8/rTwfDCey5GnURfpdchFa+eEC9hmYteT65BHRBFqdIS377/ux9aAzh+/c9h9+oOYWtZ\nHDhGi/z86Xi7APViv4qGak0EypKkZaE/J59Brx3HBj4rRO+J36D3njkdmN7HevbIHcik10gLn6hF\nC+W3ADjnPosOKbzXedAT/mURmSUi96E3FNzwhoH2puNTwHQROds59xzqNfmo06H3LehTKEnQAbAM\nNQCvRJtPzPfDqi3oU96fUGMV9KI0DjWUQ9XidBjlOeAy59xmYIfXtgN6ho+D21sObPFDOMnQ8ifn\n3Iecc2t9uMj+QJt//Qm9KH/Gf+VfQIOI5IWtJcBZqAFzKrAJ9SSB3tSOAR5xzi1Hh+kPBTY651pE\nJDdxKN5rdEMRISIL0RGNVcB7RGR0YJ1dwN3Oufc6DUO6Bm0jus45t90P+4Wp5SOoMXoR6s1qRiu3\nvAF0AAtEZKI/no+jpX82O+fqw9TSh44mrwPnXJtfbAd6fs/y8+ucczvC1BH4ThGaCHQRGo95g3Ou\nFd0v89HmD6AjCwvR8wkfwjCkY9EPh6Ixw98FzvZDvnGtHc65u51zf/DXuV8Dn3LOdXotOSFrOR9Y\n6pw7Fn2g/jf64PgSGi53lIhM98s+hl4TSZGW19HfMK63i2Wn11ju5zcmQcu7gGudc2ehhvlX4/vA\nOfekc+4Dzrml6EPDAtQo7IpfUxJ1uKGHX43z678fNa6O8x+1oL+Zg0Rkrr+urgfmAjudc20p1ILT\ncIAc59xbqAf9zPi2/LU2J2Qtx6POhYv8MfojaoyCGuWIdin8Nvpguc45t9451xT2fvG812t4J1AP\nfFNEav1621GHzWj0gQ40jHCV19JjK8Y1DVNLZBlpRvFmdLh9WmDetejTTZyzgM+intpH/c09FTq+\nH9fhnGv18YY3ozF3i5OgAb+teudcs3NuBerZOx41AHHO1aHxU7NE2z7eDdzmb+Z73MhD0PJPb4TG\nb85TUOMT55wTkRIRGSciP0WTLv6cJAMU59xWABE5Ag1NeBFNQrnfObcEDWv5DxH5PepR+Ys3CkNH\nRGpQL+Bib0z8COgSkS+gxsQjXhuokVyC3lRxGmcW5g19JXpO/Adq9Lw9eC4EjEDQMKR/+Zi8+M0j\nTC3Pogkvrzttpd2Aehod6qGcjnqWQI/fv+OxoiFrSdSxE431jMfd4ecdBDg/vydeNOR9MgX10Lb5\nm+KtwGYR+ZJz7mZ0VOE//bKHooZHXEvYv6XFqEH1DeAA4OTgzTGBscBfg/slDAGBc/NOdLQAb4SP\nQb2eDh3ZGIeGiYHGdf89vo4UaKlhz/NlGeoBHBX8bhhaAjp2+Elxzv3Kb/MDIlKQ8JWNqLe/2WsI\n+5qyDe2s9iX0unW0iIz319MXva6v+GVXoA918bjqVGiphd64fn8NWUXvMUvWb3kl6iB7xU8/DqwS\nkXzUIzwBDTe8EXWWTPEOnND3i7+GzwT+7h/QbkS909+OL+Ocewa1IeaLyB/QeshxLRlpAPfFiDGK\nfVB8DDXsPu8NrFzn3O1As4ic6Rddj3pI3+mc+6H/bmgG4F50NInIu/yi+6PeroVOvcdJQTx+8rfo\nRTj+pIdzbgc6zHkNGkZxq58f5o+/R4tfd7d/Pw2NaY4TQ2/oDt0vfwlbQ6IW1ItzpnPuE865LwMT\nROTDzrllaCWM69DhoqRp8QZ6NRoPGudSNGwjPmxVKyK/Rb1LjznnViVJyzY0+aUFHfq9AN0nAj0J\nm2WiCUr3Ak/7ZZOhZZlz7uWAIdGNGlc45x5Fqz6c6B9cngNeTDDak6ljnP+s2/++G4DV6P5Kyu/H\nr/ct1FN8cWAblwKXiEi5c+4rwEYRuRuN0f+qc257krTsdM61+33+G9RDOiVwrowRkZNE5En0t3RH\n2Psl4JVa55zbIH40BzV44p89g4bblIrII2g99P8LU8cgtASvfXnOuV2oQXhc8LvDIXB9ja9LUE/0\nKD/9Y7Sk4li//FgR+Q4a2vJg3FEQBgkP0p1oEugu1EtfhTpn4o6ZHwHFInIXej3+W4q1vN1/5ryn\nuA29Hp8Wn58kLXXOudcDH89G7zWd/nd+tXPuQOfcLWgS4pXJsBX8w0ALOkL8ea+tE7UJDhWRwwOL\nH4DmQ8VQx1H24SIQw9HfCzUs+yrh8ic0VjceSP8zfPA4u8duhdX7e1907JHEFpaOPrT0VRz+Haih\ndwU6hJRYGzIlWtAb++1ojOS7UI9TDoHueinUEkwO+glwTLKOUXBbwfMFjTXfwu4xl7fiy+ygSR8L\nCDd5ba+xi6jh+5nAdCFqrN9JiP3q+9LSx776JXvGglajSSChaBmGjhx/fGpD0tHXbzd+rhyOeryC\nsYW/obfsZC4DxFWHoSW+XxJ+O/+Hr1GKxhQLGj5wXgq0JJZ+egzf7Q0fD+o17REDmSYtufRT+3Uf\nNYxCY0CnJW4fjXP/C+oEiccy/47e5M8z0JGoCSHtjz20xM+ThOnL0JCbMYF5pahRGFZDkn3VUpUw\nf3SqtAT+XoFWMhrUeTYMPXuUSfN/x6KhgvFztQgN6YuXmqxEbYYT+1tXNrwi4ylOHJYTLaH1JXpj\nsrpE5CAReQ/6JDMduE5E/ozerBr8csHYrX0eTgxBR33i+oaiY5BaukXLt1wcWGw16o09H7g1cdsp\n0HKJX2QCaszcBVyOegdizrkO//3EGONkaInvl0IR2U9EbkOL669MXOdQtfSxHici40VLekGvN+s5\nNEzi+sDijWj9W5yGwLzkNPykzzjV4WoJeEKDXI16Y88RkVvR5JgbnHPnOS1LlzQtzl91/XQxakj8\nTUQOFZH/JyJjnYYH/cVr6TO+OgU6avy5+5JzbvNwNEhvzGd3wvxc58N3nJZzvBP4mYiM9h7JMWgp\nNJwOZ9YzTAbS4ue74L5Bh6XPEpFbUENwlHPuBufcnSnQEiz9NBWoc84tFpGvAj8XkUoi/eTiAAAP\nuElEQVSnoUnDHmEJSUu3c27jMDTsLyJHOw3PWIaOJsU9kXGP8SvocPfZaLUNUO/0W/79X51zFzn1\nag/5dzyQlsTfj+f3aJz3lSLyrIjM8te3Zc65TcP5HQ9Dy1e8lpkAzrkGr2XINtBgtQQ0jQUeF5H5\nIvJn0bC60O49cZyGiJSJyAQ/K8fP34Imct/gp9tQg36Ln97hnHu3c+7RwP+QNWETcdJuFMdPSn8g\nc0TkcBEZ5XT4owMfaykiF6GexwP8xeYKNIThPufcwsQL0L4ezBB1bBqOjiFouQu9YSIi5WhS3Y+d\nc4c45+7a122HoCWejDMPjcN82Dl3vHPu/uB6+7h4JUPLGP/Vt6P1QZc6505KPEbDoQ8DXdD48sO8\n1m4RqRSR96EPK7Ui8kPRGO9FqGG8G26IsW2D1FImIvGYVJzWaj4OHXpd7Jzb6jSpa1h1J/dBy0V+\nkXhSzE9Qr+gKfxHvwQ0hzi4EHW+5hKHeoewPv+1PAD8QkXIROU9EXhCtHT4nfmMUkQ+JyDeB/0If\n9H+KJurWo/W9QwkFG6SW80Xk2sDXZqGJywXAuU5Ds1Kp5Qf+KyXAuSLyTzSx+n8yUMsBaFIwaELw\n20XkOP+c0i0itV7rTejQ+1dEQ2o+j4YoENA73Pqxe9NSLSKXic89QIfpz0PzFu52mkDcw1B+xyFq\nWZGgZThG32C0/LeIFPnf7XvQkIUfEXIISR/8EJ9g7/zDtoic5Zy7Bg03/Z5oLeQTSbgH+fPFhW2s\njxhcBNzV/vdxCfoUcy1aMB80S/Jq//5tDFAbj/CGvyOhY6ha2L3sWb81d5OtBR0uq+hLVxq0FLJ7\nO8wwuhElDlHNoLfEzxfQhEbQxM8XgR/66UloOMnXg5pSrOUa1Bs6Ck2iupkByr8lW4ufPh59sPlq\nGFoipEPoDYsoQIcnv4UmAr/bnweP+s+/hVabiJdtysdXlAnp2AxFyzF+eozfbyemUcvb/PQ5aNWJ\nwzNJi/9NJtaBvsS//y801wD0oe054CeBZQ9DSxb2Wws/yVquiy+Plua7ybT0aMlBrz+L/bkUlpbE\nUJEZ9JadOw111uWgowgvAjf7z+Itom8AZoahJZNeqd/gngdysj9pb/E/7AI0c/jjaCzQ1QnLh9JG\nMCo6kqGFhFjANGjp0ZN4EUnzfgm9BSVwEuqVvh74gZ93Ar1xfcfh60L38/0wHxb2WQu71+dMt5YZ\nYWtJp46Ec68KfQg5Cb05fia+fvTmeTZJqvE7XC1hv0zLXjWdjFZruAgtHbafn/8SGhZXi2+I0c/3\nw/wdm5aQtLB7Y5NhaUn8Phqv/QxqmFehoZzf95/NA04eYF0jvjVzmK/UbqyPBCh/cu0Ezko4wB9A\nM/Hr8AHxYR24qOgwLSNDSz/6RqExZPehN9EqtAbk5WhVgD8mLL/HhSfE83koWvpMxkiTltyBtI00\nHX3s2yvQ2M8L/PRvvLZ4Y5DT/fkb91aGOcKTcVrC+N1ERQu9SVDxkZvfo8Prp/j5NwLf8e9PQ1sD\nlwW+k/h/DKeRTthahtNoIpO0hHp9o9fhVAp8DQ3DK0DLvF2LOo3mo3XNi/r6X8LYL5n6Ss9G9UBe\ngMblgsYz3tLHchejGc8HZbIO0xJtLfTxVI9mdr+G79bk541FKzfcg9YGNS0p0BIhHXuM0KDD638k\nULUCbbjxCIEhd3xHONOSHVrY3VAKvl8D/CEwvT9a3zYervEEfpQjxH1iWqKv5ZN4w9tPfwDNNfgO\n6rG+NfDZT9GR07X4ikz2Gvwr6Yl2wcQQETleRBajGe556M0JNLalQnyNX/HFx51zv0TrhRZmig7T\nMjK0BHG9CSsX+USo6c65+7ymg0Sk0C+3xTl3LTpc/yZa69G0JFlLhHQ455wTkRmi2eXHo7W6lzut\nWpHnk1heRIdZPya9HQXf45z7jWnJDi2Bc/bTwH0icrlo5ZOz0UYO8eXeRI3zz/tZ70NbJ4eGaYm+\nFrT064dE5DQ/3eE13IqGg50oIhf6z76MdqfrSZQL3luNgUm6UewvQJP8ZDuaDPBDNNB7loh81zn3\nBvoU/gnRMiAdotUFRqPDnmWZosO0jAwtEqhaIFp650m0ukUucKuIVKPDaJ1oZnOwOsZdaLekA01L\ncrRESEdu4L2IyLvRBK0/OueeQLPTN4nIGOdcl9PKKQXoTXMavWUEh90gxbREV4uInCC9bagRkZmi\npe3mokPxc/32lqAG2M8DX/8hsFK09GS98y2JTUtGa6kRkXhVqVy03vSDwMUiUuKc+z80r+Z2tCvd\nF4HPiD7Q7XTayfcBktCgJOMZqou5vxd7Dk3VoHXwDvbThwAvoE9bM9AL0ni0SP/PgP0D352PLyw9\nUnWYlpGhpR99o/zfhejTeB7qqV5PbybvJWizh4nx/8m/Hsc3WzAtydGSTh30EYuHVou4GA3NiBfI\nP91rutJPX4rGq5YSXjKhaYmwFvRhfQOakPVRP+8MtEV3PC71QLQSzAVopY8OAte3sF6mZURomYGO\nYv0qMO9a1PD9BnCFn/cF4OP+/fvRtt9XBr5zG3B+2Poy/RXmgUw0cPaLX1DQMjZ/8u/fAVzv309A\na3HelWk6TMvI0DKApjHok/kZfnqyv2B+3WtZDhyBJjdcRyB2C838/bJpCU9LhHRUJkyfDDyE1gSN\nV0T5MbvfnN6O3qAeQqulHBjSOWtaIq7Fr3sUWubtE2gViw+iHdV+CPw6sNw36TXMryGhUyDhJaCa\nlghr8et5Ek0c/yja4fJI4M/ow//9aH7E/6IjHl9FY+LPjp/7qJPoWgJlUe01yH0fwsGTxBPBn1B/\np9c7UwK86i9OxwB3oMMQf0PrCE4d7kkVFR2mZWRoSdAULMs01f8tRC+Q9/rphcBP/ftK4GXghfiy\nw9VhWqKrw2soBP6AttWNVyT4CppUcwJa1eIxP/8UtHTgosA68oPnrmnJXC2JuvzfW9G40IXAL9C4\nz2PRuPdz/DI/Ab4W5vZNy8jSEtA0CdiOlox8CDV4/weYiibXfR0Nfz0XzZE4uq//yV5D2PfDPHA5\ngfcHosNS8fIlv0frx8Z7sn8BeMS/X4CWMXl3X+saqTpMy8jQElhPMKN4P7Tj0Hp6y+lMQNvtfggN\n5XgU+DTwV6/3sMD3h1uaybREVEdgHY+h7VzjQ5aHozemT6FG+BLgq/6zL6M31tBKmpmWkaUleN75\nczc+7P1ZtNPajWib9XXA74CHgdkJ3wuzzKVpibiWBF03oXWQT0DLvL2K5kwsAP5BH4ZwsrRk0yuM\nA1fkD9zzaJze9WhMzNHo8OZBfrmzgSbgE32sI4wbViR0mJaRoSWwvko0Ruxl//6PwLf9Z/loIfYH\n6W3/eyPw6WToMS3R0oF2MzvUvy9B69Z+Ha19HC/W/yHUM1mAeh9XooX7DyfcDmOmJeJa9qLzg2iH\nsbvQUoEXAveixs3zDCPEybRknhavpxTNsSlAW6x/HE36LAWOTFjW6g2Htd/38SAlDn3nokksS/10\nMXAVvd2irgF+jsb03Y0aOyX9rW+k6TAtI0NLoo6E6UfQovwz/PRs4C16vQFn+M+/2ce6QvPImpbI\n6ahFk12eACb4ed9CvUafwLfY9efwJ/z7C9GC+V8K41w1LSNHyyC0VqLD4cHWzDPQlu/vB54CRpsW\n05Kg6VLgl/59QSq3na2voR6oWfQGdL8D2EVvTOipaBLDO1DvzWloMPihge+H5UWKhA7TEm0taMWK\nX+A9QsDx9BZan4eW7QoW7v8eaph/Hk1q+DAwPgxNpiW6OvrQdTWa7HIp6kWaioZrHIt6rA9Bi+jf\nhQ7bP4SvnBL2y7REX8tedArwA+AdfjoYGlSLJlSVh3XumpaRrSWw3Ry0qsR+qdpmtr/iMTH9IiI/\nABqcc1eJyGz0SbwGHd6+yjn3gojcCOCcu1REStDuK7NQ7836wLrE7W2DEddhWkaGlgRdk9Cs4Y2o\nN+AItLzbg2iNx1+jBtkH/fJ5qKf6TOB3zrn7w9JkWqKrow9dxcBm1Ej/BvA6WobpB+iw+zzn3H+K\nyCzgeOfcTWFt27SMPC170SmokX4TcH/wPA37vDUtI19Lgq6xzrkt6dSQVezNakbj9LahTRFuAD7m\n5z+Olg0pBKaj3X+O8p8tBE5IWM9wE7UiocO0jBgtwad8QUsuPQzc4OcdQW/R82I0disem7iHJ6Cv\neaZlWN7hSOgYhM6Po6E9NegN81WvZxZaIun4ZGzXtIxMLXvRWZVuDaZl5GixV5rOgQE/7K0OcA/w\nc/9+PvAMWr/vReAyP/9rwBNJERkRHaZlZGhJ0HU4WoMyD41Zfs7Pz0eTdG70098FFvf3f5mW5GiJ\nio6Bzmu04sUs1Hg/Hk18KQCqU3EOm5aRo2WQeiNTIcC0RF+LvVJ87Af8sLfkyBg0FnQaWvLoG37+\nx9Gh8alo5m/o3V2ipMO0RFcLsAiYHpg+GvVI34ZmEB+KxqfeC5zulzkEeCDwndmmJTlaoqJjiNqP\nBp5Nx7ZNy8jTYi972Wvkvgbsze2cc76X9jY0Ier/gC6gyPcIn4qWKil1zrU45970cTmhEhUdpiV6\nWkRkmoj8Gi3FVeXn5aHJNZ92Gof6NuAsNCHnUeDHIrIILdS+RURKvfZlw+xXb1oiqmM4OOeeBZyI\nHJrqbZuWkafFMIyRy14T7XZbWORN4GlgBfA54Brn3LVJ0hZ5HaYlvVpEZBpac/QS5xNovKFdidYr\nrUQ9kH90zn3bfz4JzURvB+5xzv3UtCRHS1R0hIGI5DrnutOtA0xLf0RJi2EYI5NBGcXeSxMTkfcC\nVzvnZovIaOdcg/88JRejqOgwLdHRIiKvAGc7594SkUvRBiE3ou2h29A45g0iko/WtL0XmAuscM41\nhanJtERXh2EYhmHsjUENRXojJ8c5dw+wVkTOcc41iEiuLxOSkhtWVHSYlkhpeQ/wjIjchyZmPeOc\na0NrkjYBp4vIEcAD6JB9sXPuFedcU3woPkRNpiW6OgzDMAxjQPIGu6A3dsqBZrSjVFpuVlHRYVqi\nocU5t0pE7kabN7wv8NENaDOQ04D3Ar9xzt2aqNO0JFdLVHQYhmEYxt7Y15jiE4AT0IoCafPeREWH\naYmGFhEpBVYDk51zbSKS55zr8p/1vPfTSR2KNy3R1WEYhmEYA7GvRnEkOqpERQeYlv5ItRYRuQRt\nCHJR0LCK64jHOpuW9GiJig7DMAzD6I99MooNI6r4+NPtwHzn3FumJVpaoqLDMAzDMPrDjGIjY5AI\n9Yg3LdHVYRiGYRh9YUaxYRiGYRiGkfWkvDuUYRiGYRiGYUQNM4oNwzAMwzCMrMeMYsMwDMMwDCPr\nMaPYMAzDMAzDyHrMKDYMwzAMwzCyHjOKDcMwDMMwjKzn/wOhl/E2sc+/qAAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1955df47ba8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(figsize=(10,8))\n",
"ax.plot_date(idx, stock,'-')\n",
"\n",
"\n",
"# Major Axis\n",
"ax.xaxis.set_major_locator(dates.WeekdayLocator(byweekday=1))\n",
"ax.xaxis.set_major_formatter(dates.DateFormatter('%B-%d-%a'))\n",
"# Grids\n",
"ax.yaxis.grid(True)\n",
"ax.xaxis.grid(True)\n",
"\n",
"fig.autofmt_xdate() # Auto fixes the overlap!\n",
"\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Great job!"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
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"name": "ipython",
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"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
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