Commit 05cd28ae authored by Markus Mirz's avatar Markus Mirz
Browse files

clean up

parent cee284ae
......@@ -84,14 +84,17 @@ def read_timeseries_dpsim_cmpl(filename, timeseries_names=None):
:param timeseries_names: column name which should be read
:return: list of Timeseries objects
"""
pd_df = pd.read_csv(filename, header=None)
pd_df = pd.read_csv(filename)
timeseries_list = []
if timeseries_names is None:
# No trajectory names specified, thus read in all
pd_df.rename(columns=lambda x: x.strip(), inplace=True)
column_names = list(pd_df.columns.values)
print(column_names)
# Remove timestamps column name and store separately
column_names.remove(0)
column_names.remove('time')
print(column_names)
timestamps = pd_df.iloc[:,0]
# Calculate number of network nodes since array is [real, imag]
node_number = int(len(column_names) / 2)
......@@ -99,7 +102,7 @@ def read_timeseries_dpsim_cmpl(filename, timeseries_names=None):
for column in column_names:
if node_index <= node_number:
ts_name = 'node '+ str(node_index)
timeseries_list.append(TimeSeries(ts_name, timestamps, np.vectorize(complex)(pd_df.iloc[:,column],pd_df.iloc[:,column + node_number])))
timeseries_list.append(TimeSeries(ts_name, timestamps, np.vectorize(complex)(pd_df.iloc[:,node_index],pd_df.iloc[:,node_index + node_number])))
else:
break
node_index = node_index + 1
......
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{
"cells": [
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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gS2nKlN7aO71iabaVbIn8fPq3N3JktLgxW1xXM717hwHwREEBr0PpyPDfvgzq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\nMAaMwWAwGAyGkMMYMAaDwWAwGEKO/wMbGf3mgbqHuAAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1e3e19b1320>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# This line configures matplotlib to show figures embedded\n",
"%matplotlib inline\n",
"\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# Creates time-voltage vectors\n",
"time = np.linspace(0, 0.1, 1000)\n",
"voltageFundRe = np.cos(5*np.pi*2*time)\n",
"voltageFundIm = np.sin(5*np.pi*2*time)\n",
"voltageSlowRe = np.cos(5*np.pi*(-2)*time)\n",
"voltageSlowIm = np.sin(5*np.pi*(-2)*time)\n",
"voltageEmt = voltageRe*np.cos(2*np.pi*50*time) - \\\n",
" voltageIm*np.sin(2*np.pi*50*time)\n",
"\n",
"# Shift dynamic phasors by 50 Hz\n",
"voltageFund = voltageFundRe * np.cos(2*np.pi*50*time) - \\\n",
" voltageFundIm * np.sin(2*np.pi*50*time)\n",
"voltageSlow = voltageReSlow*np.cos(2*np.pi*50*time) - \\\n",
" voltageImSlow*np.sin(2*np.pi*50*time)\n",
"\n",
"# Plot vectors\n",
"fig, ax = plt.subplots()\n",
"ax.plot(time, voltageEmt, 'k:', label = 'EMT')\n",
"ax.plot(time, voltageFund, 'b--', label = 'DP fund')\n",
"ax.plot(time, voltageSlow, 'r--', label = 'DP slow')\n",
"\n",
"# Add legend and labels\n",
"legend = ax.legend(loc='lower right', shadow=True)\n",
"frame = legend.get_frame()\n",
"frame.set_facecolor('0.90')\n",
"ax.set_xlabel('time [s]')\n",
"ax.set_ylabel('voltage [V]')\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"anaconda-cloud": {},
"kernelspec": {
"display_name": "Python [default]",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.2"
}
},
"nbformat": 4,
"nbformat_minor": 1
}
{
"cells": [
{
"cell_type": "code",
"execution_count": 48,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(999, 3)\n"
]
},
{
"data": {
"image/png": 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bK88md97J/MAD5sp7/nnma681V55NbruN+aGHzJX35JPMN99srjybfPGLzI89Zq68n/+c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\n7yJGAwAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x9591dd8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# This line configures matplotlib to show figures embedded in the notebook, \n",
"# instead of opening a new window for each figure. \n",
"%matplotlib inline\n",
"import importlib\n",
"import PlotTools as pt\n",
"importlib.reload(pt)\n",
"pt.plotResults('..\\VisualStudio\\DPSolverWin10\\DPSolverWin10\\data.csv',1)"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(99, 7)\n"
]
},
{
"data": {
"image/png": 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3oKds2gRdupjJaH4wejS8/LI/58qVNWtym8RbKKNGwZIl/pwrVxIvH17PoUkQ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\n7K8Co8WCBdmVXbrUrNAZ9XVXWiIXLRY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"text/plain": [
"<matplotlib.figure.Figure at 0x93972b0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%matplotlib inline\n",
"import importlib\n",
"import PlotTools as pt\n",
"importlib.reload(pt)\n",
"pt.plotResults('..\\VisualStudio\\DPSolverWin10\\DPSolverWin10\\data_20161114.csv',3)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Dynamic Phasor Examples"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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RKmWezQWgO/VZDxJ512Mp3BERG+/l7WVHlkkmkrEWSz1Y8ObeeGnGm5ADkVcy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\nRK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x9387160>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"time = np.linspace(0, 0.1, 1000)\n",
"voltageRe = np.cos(5*np.pi*2*time)\n",
"voltageIm = np.sin(5*np.pi*2*time)\n",
"voltageReSlow = np.cos(5*np.pi*(-2)*time)\n",
"voltageImSlow = np.sin(5*np.pi*(-2)*time)\n",
"voltageEmt = voltageRe*np.cos(2*np.pi*50*time) - voltageIm*np.sin(2*np.pi*50*time)\n",
"voltageFund = 1/np.sqrt(2)*np.cos(2*np.pi*50*time) - 1/np.sqrt(2)*np.sin(2*np.pi*50*time)\n",
"voltageSlow = voltageReSlow*np.cos(2*np.pi*50*time) - voltageImSlow*np.sin(2*np.pi*50*time)\n",
"\n",
"fig, ax1 = plt.subplots()\n",
"ax1.plot(time, voltageEmt, 'b-', time, voltageFund, 'g-', time, voltageSlow, 'r-')\n",
"ax1.set_xlabel('time [s]')\n",
"ax1.set_ylabel('voltage [V]')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Plot Examples"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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ngdMyc1WZdUhSSy1fDhdcAEuXwle/CscdV3VFUtPKnuq/Fjh+k8c+CXwnM98MLAD+d8k1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\nqYcY/JIk9ZD/D8CBwxC1Mr/cAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x8e29d68>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"x = np.linspace(0, 5, 10)\n",
"y = x ** 2\n",
"fig = plt.figure(figsize=(8,4), dpi=100)\n",
"\n",
"axes = fig.add_axes([0.1, 0.1, 0.8, 0.8]) # left, bottom, width, height (range 0 to 1)\n",
"\n",
"axes.plot(x, y, 'r')\n",
"\n",
"axes.set_xlabel('x')\n",
"axes.set_ylabel('y')\n",
"axes.set_title('title');"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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MWrTwI6levdSg8pSaVC6tWuVHT3ffDW+8AY0ahU4kEk/TpsERR8AOO/hJRzVr\nhk4kWaImlSuffAJNm8JXX8GkSXDYYaETicRTt25+0+VWrfwzqG23DZ1Iskiz+3Jh0CC/buOee+D6\n67VZrEgqVqyA666DceOgtBQaNAidSHJATSqb1qzx6zUGD4ahQ6FJk9CJROJp1iw/QeKww2D8eKhd\nO3QiyRHd7suWefPguOPg00/9TsxqUCKp6d3b19KNN/pTAdSgCopGUtnw8st+o9g77oBbbtHtPZFU\nrFwJN93kb+2NGAGHHBI6kQSgJpVJa9f6xbn9+/ujqo8+OnQikXiaM8ff3jvoIJg4EbbfPnQiCUS3\n+zJl4UIoKoLp0/3sPTUokdT07+9nwl59NfTpowZV4NSkMuH11+Hww/3WLEOHQp06oROJxM/q1X72\n6513+pq69lrdKhfd7kvLunXQurV/mNu/P/zxj6ETicTT3Llw4YWw997+TsSOO4ZOJBGhkVSqvvjC\nH6w2YYKfvacGJZKaF1+Eo46Cyy+HgQPVoOQX1KRSMWKEv713wgnw2muw666hE4nEz5o1/jTqW27x\nt8lbttTtPdmIbvclY/16f1bNM8/4DS3/9KfQiUTiaf58uOgif4E3aRLsskvoRBJRGklVR1mZv9I7\n7jh/9tPkyWpQIqlYsgQefNAvbr/gAr8bixqUVEEjqaqsWuVHTI89BrVqwW23+Ye7OhJAJDlz50Jx\nsd894uyzYeRI7b0n1aImVZklS+Cpp+DJJ6FxY//x8cfrfrlIssaNg0cfhVGj4J//9Eds7LFH6FQS\nI2pSFX3yib/a69MHzjlHp+aKpKL89vijj8Jnn/nJEd26ac89SYmaFMDYsb6g3nrLX+1Nnw677x46\nlUi8rFwJPXv62+M77AC33w7nngtb6seMpK5w//asXw9Dhvjm9MUX/mqve3dd7Ykk65tvoHNn/6tJ\nE+jSxU8y0u1xyYDCa1IrV/odItq3h5128ld755yjqz2RZM2Z42+P9+0L55/vnzsddFDoVJJnCucn\n89df/3y1d9RR/tjpY4/V1Z5Ist5919+BGDPGnzg9cybUrRs6leSpYOukzKy5mc0ys4/M7N8Zf4Ol\nS/2WRb16+d2U69f3t/VGj/ZrM6p5O6K0tDTj0ZKlDD+LSo4oyWotlZXBggUwfDg88QQcc4zfvujE\nE/2Bnv/5T7UbVBT+3ylDdDJUV5CRlJnVADoBJwBfABPMbLBzblZS32jtWr/+4qOPYPZs/6v842XL\n4MADfXOtzTeQAAAE4ElEQVQ69FB//HQK2xeVlpZSVFSU9OsySRmilyMqMlZLS5duXEOzZ8PHH/vb\n4vXr+3q69Va/zimFtYJR+H+nDNHJUF2hbvc1AeY45+YDmFlf4Cxg48JyDhYvrryAFiyAevV8AdWv\nD40aQYsW/uM99tCtPCkE1a+l8ou6ymppxQrfhMov7M45x//zgAN0npMEFapJ1QM+q/D7hfhi29hO\nO0HNmj8XT/36/kC0+vVhv/1g661zkVckqqpfS9tvD3vu+fOoqHFjuOQS/7Eu6iSizDmX+zc1Ow84\nxTn3z8TvLwOaOOdabvB1uQ8nUg3OuUj8RFctSZxVp45CjaQ+B35T4fd7Jj73C1H5QSASYaolyWuh\nZvdNAPY3s73NrCZwMfByoCwicaZakrwWZCTlnFtvZtcDw/CNssQ5NzNEFpE4Uy1JvgvyTEpERKQ6\nInnoYdYX+lYvQ4mZLTazD0O8fyLDnmY20symm9lUM2u5+VdlPMPWZjbOzN5PZGid6wwVstQws8lm\nFuR2lpnNM7MPEv8txofIkCzVUjTqKJEjErUUuo4SGapdS5EbSSUWJ35EhcWJwMVJL05MP8exwDLg\nOefcIbl87woZdgN2c85NMbPawCTgrAD/LWo551aY2RbAO0BL51zOf0ib2c1AY2AH59yZAd5/LtDY\nOfddrt87Faqln94/EnWUyBK8lkLXUSJDtWspiiOpnxYnOufWAuWLE3PKOTcGCPrDyDm3yDk3JfHx\nMmAmfl1MrnOsSHy4Nf45Zs6vbMxsT+A0oGuu37tiDKJZM5uiWiI6dZR4/6C1FJE6giRqKYoFV9ni\nxCB/oaLEzPYBGgLjArx3DTN7H1gEDHfOTch1BqAYuJ0ADbICBww3swlmdlXAHNWlWtpAyDpKvH/o\nWopCHUEStRTFJiUbSNyiGAjcmLgSzCnnXJlz7jD8GpwjzSynxxWb2enA4sTVsCV+hdDUOdcIfyV6\nXeI2lsRE6DqCsLUUoTqCJGopik2qWosTC4WZbYkvrJ7OucEhszjnfgBGAc1z/NZNgTMT97GfB5qZ\n2XM5zoBz7svEP78GXmRT2w9Fh2opIUp1BMFqKRJ1BMnVUhSbVJQWJ4a+2gB4FpjhnOsY4s3NrI6Z\n7Zj4eFvgJCrbvDSLnHN3Oud+45zbF//3YaRz7vJcZjCzWokrccxsO+BkYFouM6RAtfSzoHUE4Wsp\nCnUEyddS5JqUc249UL44cTrQN8TiRDPrA7wLHGhmC8zsbwEyNAUuBf6UmKo52cxyPYrZHRhlZlPw\n9/HfcM69muMMUVAXGJN4njAWGOKcGxY4U5VUSz+9fxTqCFRL5ZKqpchNQRcRESkXuZGUiIhIOTUp\nERGJLDUpERGJLDUpERGJLDUpERGJLDUpERGJLDUpERGJLDUpERGJLDWpPGZmhycOFqtpZtuZ2bRc\nbw4rkg9US+Fox4k8Z2b/AbZN/PrMOdc2cCSRWFIthaEmlefMbCv8RqMrgWOc/oeLpES1FIZu9+W/\nOkBtYHtgm8BZROJMtRSARlJ5zswG48+O+S2wh3PuhsCRRGJJtRTGlqEDSPaY2V+ANc65vmZWA3jH\nzIqcc6WBo4nEimopHI2kREQksvRMSkREIktNSkREIktNSkREIktNSkREIktNSkREIktNSkREIktN\nSkREIuv/AQVSRBlr/kglAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x8e94e48>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, axes = plt.subplots(nrows=1, ncols=2)\n",
"\n",
"for ax in axes:\n",
" ax.plot(x, y, 'r')\n",
" ax.set_xlabel('x')\n",
" ax.set_ylabel('y')\n",
" ax.set_title('title')\n",
"\n",
"fig.tight_layout()"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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vb9m6RQurcN6oUdAROQCR/sCtwG/A/7DiM4m/TBz7OXbEysM1Z/MWqKoyJM7Y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\nc6X8P6eLRsrn4jgSAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x8ea1470>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# restore\n",
"matplotlib.rcParams.update({'font.size': 12, 'font.family': 'sans', 'text.usetex': False})\n",
"\n",
"fig, ax1 = plt.subplots()\n",
"\n",
"ax1.plot(x, x**2, lw=2, color=\"blue\")\n",
"ax1.set_ylabel(r\"area $(m^2)$\", fontsize=18, color=\"blue\")\n",
"for label in ax1.get_yticklabels():\n",
" label.set_color(\"blue\")\n",
" \n",
"ax2 = ax1.twinx()\n",
"ax2.plot(x, x**3, lw=2, color=\"red\")\n",
"ax2.set_ylabel(r\"volume $(m^3)$\", fontsize=18, color=\"red\")\n",
"for label in ax2.get_yticklabels():\n",
" label.set_color(\"red\")"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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RFkfkO6lfQlRPbu3mga8fIK8wj2Hxw+jdqrdlscjaiEIIr7TW9P6kNz/s+YGE+ASmDTL/\nEzRZG1EI4S8fbfiI+xfeT8NaDdn20Dbq16pv6uPL2ohCiCqbljiNH/b8QINaDZjQd4LV4dicrI1o\nR5KL/QQqjyNZR3h82eMAvNnvTdMbLV9Js+UHMj7IfpySBwQmlyNZR3h8aVGhut76QmV/cVYHYBqn\nvKiD5GJHgcpj9JLRpOWmcX2b6/lTxz8F5qRnIM2WEOI0Y5aM4Xjuca5vcz13dbrL6nCEEKLCFu1Y\nxIwtM6gVXotJAybZYqULabb8wOq168zklFyckgf4P5dvd3zLF1u+IDIs0jaFSgghKiIrL4tR34wC\nYHyv8bSq18riiAzSbAkhSpQqVL3tU6iEEKIixq0Yx970vXRp0oVHuz9qdTglpNnyAxkfZD9OyQP8\nm8vzK55nT/oe4pvEM7r7aL+dRwghzPbLwV94a+1bhKgQptw0hbCQqq5IaB5ptoQQAKw/uJ43175p\ny0Jlf0lWB2Aab2vNBSvJxX78lUeBu4ARC0fg1m5GdxvNJc0u8c+JKknm2RJCUOAu4LIpl7Hx8EbG\ndB/DxOsnBuS8Ms+WEMIME1ZN4IllT9Cybku2PLiFqIgov59T5tkSQvjkpR9eYuPhjbSs25Lxvcdb\nHY4QQlTY/478j3ErxgEwacCkgDRavpJmyw9kfJD9OCUPMD+XudvmMv6/40s+PrRjoRJCCG+O5Rxj\n0IxBnCg4wbD4YdzQ7garQ/JKmi0hqrHNRzbz57l/BuDVa1+lb5u+FkckhBAVk1+Yz+1f3k5SWhKX\nNruU9wa8Z3VI5ZIxW0JUUyk5KVw65VJ2p+1maKeh/GfwfwI+p5aM2RJCVNYjix7hnXXv0CSqCb+M\n+IXmdZoH9PwyZksIcUYF7gLu+OoOdqft5pKmlzDlpikyeWmVyNqIdiS52I9ZeXy44UPeWfcOEaER\nzLljTsAbLV+Z0mwppVoqpb5RSqUqpQ4qpf6tlAopuq2PUmqbUipLKbVcKdXCjHPamYwPsh+n5AHm\n5PL40sf5fvf3NK7dmHlD5hEZHln1wIKUOfUrLoAR+5dTXtRBcrEjM/JYtW8VD37zIADvD3ify8+9\nvOoP6mdmXdl6D0gGGgPxwNXAg0qp+sBs4BkgFlgPzDTpnEKISpi2cRpvrX2L8JBwZt8xm3PqnGN1\nSFaT+iVEkNiXvo9bZt5Cvjufv172V4Z1GWZ1SBViVrMVB8zUWudrrZOBxUAH4BZgi9Z6jtY6D3gB\n6KyUOs+k89qSrMNnP07JA6qWy+p9qxn5zUjA+Ir0lS2uNCmqoBaH1C8hbO9E/gkGzxzMkewjXNPq\nGl6//nWrQ6ows5qtN4EhSqlIpVRz4AZOFaxNxQdprXOAnUX7hRABdCDjALfMuoW8wjwevvRhhl88\n3OqQ7ELqlxA2p7VmxMIRrD+0nlYxrZh126ygWuXCrGbrR6AjkAHsBdZprecDUUB6mWMzgGiTzmtL\nMj7IfpySB1Qul9yCXAbPHMzhrMP0iusVsBnig4TULyFs7vXVr/PZ5s+oHV6b+UPmU79WfatD8kmV\n20JlfIVpMfA+cDlGgZqmlHoVyALqlLlLXSDT22MlJCQQV7RwUkxMDPHx8SUfmRS/wMh2YLeL2SWe\nym4nJibaKp5AbmutGfjKQNbtWkfL+JZ8efuXrPxxpSXxFP+eZJPRvubVrxQSEl4o2YqP70V8fC/i\n4ryvBZeU5H2gsB2OP3wYip8uO8RTlePDynmFC5b4PY/3vJ8d4qns8XFxvj/+J64fePKTRaCv5sne\n40nZ1gnXtsDH73K5cLlcpKVBWtrpx59JlefZKhpEmgzEaK0zi/YNAl4C3gYStNY9ivbXBo4C8Vrr\n7WUeR+apEcIPJq6eyGNLH6NWeC1W3beKzk06Wx1SCavn2ZL6JYS9bU/ZzmVTLiP9ZDrPX/08L/R6\nweqQSgR0ni2tdQqwGxiplApVSsUA92KMdZgHdFBKDVZK1QCeBxLLFiohhH8s3bWUJ5Y9AcCnN39q\nq0bLDqR+CWFf6bnpDJoxiPST6Qy+YDDjrh5ndUiVZtaYrVuA/hjv+rYDecBYrfUx4FbgH0Aq0BUY\nYtI5bau6jw+yI6fkARXPZWfqTu786k7c2s1zPZ/j1va3+jew4CX1SwibKXQXMnTOUH479hsdG3Xk\nk5s/IUQF7zzspgzl11r/D+hdzm3fAxeacR4hRMVknMxg4BcDSctNY+D5A2116d1upH4JYT/jVozj\nmx3fEBsZy/wh84muEdzfS5G1EYVwGLd2M3jmYBb8voD2Dduzevhq6tQoO87bHqwes2UWqV9CmGfm\nlpkMmT2EUBXKkruX0Kd1H6tD8krWRhSiGnt+xfMs+H0B9WrWY/6Q+bZttJxF1ka0I8nFfs6Wx8ZD\nGxk235gV/vXrXrdto+Urabb8oDqOD7I7p+QBZ87ly61f8vKPLxOiQph520zaxrYNXGDVWpzVAZjG\nKS/qILnY0ZnySM5O5uaZN3Oi4ATD4ofx125/DVhc/ibNlhAOsenwJhLmJwAwoe8E+rbpa21AQghR\nQXmFedw26zb2pu+l+zndmTRgEsY0eM4gzZYfyDp89uOUPMB7LsdyjjFoxiBy8nO4p/M9jO4+OvCB\nCSFEJY1ePJof9/5Is+hmzLljDjXCalgdkqmk2RIiyOUX5nP7l7ezJ30Plza7lMk3TnbUO0IhhLNN\n/mUyk36ZRI3QGsy9cy5No5taHZLppNnyg+oyPiiYOCUPOD2XMUvG4Epy0TSqKXPvnEvNsJrWBCaE\nED76cc+PPPztwwB8cNMHXNb8Mosj8g9ptoQIYlPWT+Hdde8SERrBnDvn0LxOc6tDqqaSrA7ANN7W\njgtWkov9eOaxN30vt866lQJ3AWO7j+WezvdYFpe/yTxbQgSplXtX0vuT3uS785k6cCrDugyzOiSf\nyTxbQlRPOfk59Jjag42HN9K3dV8WDV1EWIgp86wHjMyzJYTD7Uvfx62zbiXfnc+j3R4NykZLCFE9\naa0ZvmA4Gw9vpE29Nsy4bUbQNVq+kmbLD5w8PihYOSUPgCXfLWHwzMEcyT7CNa2uYcJ1E6wOSQgh\nKuzVla8yY8sMoiKimD9kPrGRsVaH5HfObiWFcBitNa+teo31ej2t67Vm1m2zHP+OUAjhHN9s/4an\nlz8NwPTB0+nQqIPFEQWGjNkSIoi8tvI1nvzuSWqH12bN/Wvo2Kij1SFViYzZEqL6+O3Yb3T7sBsZ\nJzN4qfdLPNvzWatDqhIZsyWEAy3euZi/ffc3AP4z+D9B32g5i6yNaEeSi32k5aYxaMYgMg7X47b2\nt/HMVc9YHVJAmdZsKaWGKKV+VUplKaV2KKWuLNrfRym1rWj/cqVUC7POaVdOGh/klFyCPY/tKdsZ\n8tUQNJp7697L4AsHWx2So1S9fsUFMFr/CvYXdU+Siz0Uugu5a/ZdbE/ZTuuQPkwbNK3aTbxsSrOl\nlOoLvALcq7WOAnoCfyil6gOzgWeAWGA9MNOMcwpRXaTnpjPwi4Gkn0xn8AWDHT0XjRWkfgnhX08v\nf5pvd35L/cj6vNz7ZaIioqwOKeDMGln7AjBea70OQGt9CEApNQLYorWeU7T9AnBMKXWe1nq7See2\nHaevwxeMgjWPQnchQ+cM5feU3+nYqCOfDv60WhYqP3sBqV9C+MXnmz/nX6v+RagK5as7voIk5y3F\nUxFVvrKllAoBugKNii6/71VKva2Uqgl0ADYVH6u1zgF2Fu0XQpzFcyue45sd3xAbGcv8IfOl0TKZ\n1C8h/Gf9wfUMXzAcgLf6vUWvuF7WBmQhMz5GbAyEA7cCVwLxwMXAs0AUkF7m+Awg2oTz2lawjw/y\n5JRcgjGPmVtm8spPrxCqQpl12yxa12sNBGcuNib1Swg/OJJ1hJtn3kxuQS73d7mfBy990OqQLGXG\nx4gniv58W2udDKCUmohRrH4A6pQ5vi6Q6e2BEhISiCtaOCkmJob4+PiSj3+KX2BkO7DbxewST2W3\nExMTbRXP2bYnfzWZv377V2gBE6+fSOjeUFx7XbaJryr/nlwuF0n2Ge1rUv1KISHhhZKt+PhexMf3\nIi7O+5p2SUneBzzb4fjDh6H46bJDPFU5PqycV7hgid/zeM/72SGeMx2fV5jHY0teZn9eKFdcdAXv\n9H+nZEB8XJz94y/veJfLhcvlIi0N0tJOP/5MTJlnSym1F3haaz29aHswRrGaBCRorXsU7a8NHAXi\ny455kHlqhDCs2reKAZ8PIC03jWHxw/ho4EeO/eaOHebZkvolhHkyTmZw84ybWZG0gnPqnMO6Eeto\nEtXE6rD8wop5tqYBjyilGiql6gFjgIXAPKCDUmqwUqoG8DyQKINLhfBu8c7FXPvptaTlpnHzBTcz\nacAkxzZaNiL1SwgTHM0+yjWfXMOKpBU0iWrCorsWObbR8pVZzdZLwC/AdmArxlek/6G1PoYxFuIf\nQCrGQNQhJp3Ttpw0psYpuQRDHjO2zOCmL27iRMEJhsUP48vbv6RGWI3TjguGXIKM1C8hqmhv+l6u\nmnYV6w8ZS4mtvG8lnRp3sjos2zBl6getdQHwUNFP2du+By404zxCONWkdZN4aNFDaDSPXf4Yr/V9\nTa5oBYjULyGq5rdjv9H3P33Zn7GfTo06seTuJTSNrp5TPJRH1kYUwkJaa17+78uMc40D4JU+r/C3\nK/9WbRotO4zZMoPUL1Fd/XLwF/pN70fKiRSuPPdKFv5pIfUi61kdVkDI2ohCBAG3djNmyRjGucah\nUEy+cTJP9Xiq2jRaziJrI9qR5OJf3+/+nt6f9CblRAo3tL2BpX9eetZGy455BII0W37gpDE1TsnF\nbnnkF+aTMC+Bt9a+RURoBLNun8UDlzxQofvaLRcBsjaiPUku/jN321xu+OwGsvKyuKvTXcwfMp9a\n4bXOej+75REoZi3XI4SooBP5J7jzqztZuH0htcNrM2/IPK5tfa3VYQkhRIVM3TiVEQtH4NZuHr70\nYd664S1ClFy7ORNptvwgWNfh88Ypudglj/TcdG764iZ+3PsjsZGxfDv0Wy5rfplPj2GXXIQQ1c+E\nVRN4YtkTALxw9QuMu3qcDH2oAGm2hAiQI1lH6PdZPxIPJ9I8ujlL/7yU9g3bWx2WEEKcldaavy//\nO6+ufBWAt/u9zSPdHrE4quAh1/38wEljapySi9V5JKUl0WNaDxIPJ9Iuth0r71tZ6UbL6lyEENVL\nobuQBxY+wKsrXyUsJIzpg6dLo+UjubIlhJ9tTd7KddOv42DmQbo06cLiuxfTqHYjq8MSpkqyOgDT\neFs7LlhJLlV3suAkQ+cMZfa22dQMq8lXt3/FgPMGVPrxnPSc+ELm2RLCj9bsX0P/z/pzPPc4PVv2\nZMGQBdStWdfqsGxD5tkSwr4yT2YyeOZglu9eTt0adfn6rq/p0aKH1WHZhi/1S65sCeEnS3ctZfDM\nweTk5zDw/IHMuHUGkeGRVoclhBBndSznGP0/68+6g+toXLsxS+5eQucmna0OK2jJmC0/cNKYGqfk\nEug8Zm2dxY2f30hOfg73dL6H2XfMNq3RcspzIoSwp/0Z++k5rSfrDq4jLiaOn+77SRqtKpJmSwiT\nTf5lMkO+GkK+O5/R3UYzbdA0wkLkIrIQwv5+P/Y7V069km3HttGxUUdW3reStrFtrQ4r6MmYLSFM\norXmlZ9e4ZnvnwHg5d4v8/RVT8scNGcgY7aEsI8NhzbQb3o/juYc5fJzLufru74mNjLW6rBsS9ZG\nFCLA3NrN40sf55nvn0GhmDRgEs/0fEYarWpD1ka0I8ml4lxJLnp93IujOUe5vs31LPvzMr80Wk56\nTnxhWrOllGqnlDqhlPrUY18fpdQ2pVSWUmq5UqqFWeezMyeNqXFKLv7Mo8BdwH3z72PimomEh4Qz\n47YZjOw60m/nc8pzYjdVq2FxAYrS/5z0Yii5VMz83+bTb3o/MvMyubPDnSz40wJqR9T2y7mc9Jz4\nwswrW+8APxdvKKUaALOBZ4BYYD0w08TzCWG53IJcbpt1G59s+oRa4bVY+KeF3NHhDqvDEpUjNUxU\nO58kfsKts27lZOFJRnUdxWe3fEZEaITVYTmOKc2WUmoIcBxY7rF7MLBFaz1Ha50HvAB0VkqdZ8Y5\n7cxJa9cDHnwUAAAeoElEQVQ5JRd/5JFxMoN+0/sx//f51KtZj+X3LOf6ttebfp6ynPKc2InUMFEd\nTVw9kYT5CRTqQp7r+Rzv9n+X0JBQq8NypCo3W0qpOsCLwFjAc4BKB2BT8YbWOgfYWbRfiKCWnJ1M\n709688OeH2ga1ZT/Dvsv3c/pbnVYohKkhonqRmvNM8uf4bGljwHw5vVvMr73eBlj6kdmXNkaD0zR\nWh8ssz8KSC+zLwOINuGctuakMTVOycXMPPak7eGqaVex4dAG2sa2ZeV9K+nYqKNpj382TnlObERq\nmKg2Ct2FjPpmFP/46R+EqlA+vflTHu3+qNVhOV6VJv9RSsUD1wLxXm7OAuqU2VcXyCzv8RISEogr\nWjgpJiaG+Pj4ko9Mil9gZDuw28XsEk9ltxMTE015vMYdGnPd9OvYv2k/bWLb8NNjP9E4qrHl+QXL\ndvHvSTYZJWteDUshIeGFkq34+F7Ex/ciLs77WnBJSd4HCtvh+MOHofjpskM8VTk+rJxXuGCJ3/N4\nz/tV9vHzC/P5x0//wLX7N8JD+/LeXU/y587XBiR+z312+PuszPEulwuXy0VaGqSlnX78mVRpni2l\n1KPAyxjFR2G8EwwBtgHvAwla6x5Fx9YGjgLxWuvtXh5L5qkRtvbzgZ/p/1l/Uk6k0KNFDxb+aSEx\nNWOsDiuoWT3Pllk1TOqXsLusvCxunXUrS3ctpU6NOiz800J6tuxpdVhBzZf6VdVmqyal3/k9gTHh\nzEiMgrUDuA9YBLwE9NBaX1HOY0mxEra1ZOcSbp11K9n52QxoN4BZt8+iVngtq8MKejZotkypYVK/\nhJ0lZyczaMYg1uxfQ6PajVg8dDFdmnaxOqygF7BJTbXWuVrr5OIfjMvuuVrrVK31MeBW4B9AKtAV\nGFKV8wWLsh/BBTOn5FLZPDJPZvLgNw/S77N+ZOdnc/dFdzP3zrmWNlpOeU7sQGqYcDKtNTO2zKD9\nu+1Zs38NLeu25KdhP0mjZQFTF2zTWr9YZvt74EIzzyFEoHz3x3fcv+B+9qTvITwknOd6PsczPZ8h\nRMnCC04lNUw4xeGsw4z6ZhTzfpsHwLWtr+XjQR/TvE5ziyOrnmRtRCHKyDiZwRNLn+CDDR8AcHHT\ni/l40Md0atzJ4sicx+qPEc0i9UvYhdaazzd/ziPfPsLx3ONER0Qz8fqJDO8yXKZ2MJkv9cvUK1tC\nBLslO5cwYuEI9mXsIyI0guevfp4nrniC8NBwq0MTtuastRG9fWMrGFW3XA5mHmTk1yNZuH0hAP3a\n9uODGz/g3Lrn+j2+inLSc+IL+TzED5w0psYpuZwtj7TcNIbPH06/z/qxL2Mflza7lA0PbODpq562\nXaPllOfEWeKsDsA0NpmVwxTVJRetNZ8kfkKH9zqwcPtC6taoy9SBU1l01yJbNVrgrOfEF3JlS1R7\n32z/hr98/RcOZB6gRmgNxvcez9jLxxIWIv89hBD2tj9jPw8sfIBvd34LwIB2A5h842QZm2Uz8mri\nB05au84puXjL4/iJ44xZMoZPNn0CQPdzujNt0DQuaHBBgKPzjVOeEyFE5WmtmbpxKmOXjiXjZAYx\nNWN4u9/b3H3R3TI2y4ak2RLV0oLfFzDy65EcyjpEzbCavNz7ZUZ3Hy2LsAohbG9v+l5GLBzB0l1L\nARh4/kDeH/A+TaObWhyZKI+M2fIDJ42pcUouxXmk5KRw95y7GTRjEIeyDnHluVeyaeQmHrvisaBp\ntJzynAghfKO15oP1H9DxvY4s3bWU2MhYPrvlM+bdOU8aLZuTK1ui2pi7bS6jvhnFkewjRIZF8kqf\nV3j4soeDpskSdpZkdQCmcdI3xZyUS1jsfvr+J4Hlu5cDcMuFt/Be//doHNXY0rh85aTnxBcyz5Zw\nvKPZR3nk20eYuXUmAD1b9uSjgR/RNratxZEJmWdLiDNzazfv//I+Ty57kuz8bBrUasC7/d/l9va3\ny9gsi8k8W0IU+XLrlzy06CGO5hyldnht/nntP3nw0gdlFnghhO39cfwPhi8YjivJBcAdHe7gnRve\noWHthtYGJnwmrzh+4KQxNcGaS3J2Mrd/eTt3fHUHR3OOEn8ins2jNvPwZQ8HfaMVrM+JEKJi3NrN\nv9f+m06TOuFKctGodiO+uv0rZt42UxqtICVXtoSjaK2ZuXUmDy96mJQTKURFRPFa39c4L/M8WtVr\nZXV4wkNKitURCGE/O1J2MHzBcH7c+yMAd3W6i7f6vUWDWg0sjkx4ysvz7XgZsyUcw9vCqx/e9CEt\nY5yzlEqwKiyELVtg9epTPzt2AMiYLSEACt2FvL32bZ75/hlOFJygSVQT3h/wPoMuGGR1aAI4cKB0\n/dqwAU6elDFbohrRWvPZ5s/467d/lYVXbSIlBdasOVWYfv4ZsrJKHxMZCSdOWBOf+ZzT0Dtp7bpg\nyeX3Y79z34L7WLVvFQB/vujPvNnvTWIjY0uOCZZcziYY8sjLg8REo3atWmX8uW9f1R6zys2WUioC\neA+4FqgH7AKe1lovLrq9D/AOcC6wFhimtd5b1fPamcvlcsws33bPpaILr9o9D1/YLZfCQti6tfS7\nvu3bTz+uVSu4/PJTPxddBBERgY/Xk3n1Ky4wAQdAMLwYVpTdcyl0FzJx9UTGucaRW5BLs+hmTL5x\nMjeed+Npx9o9l4qyYx6HDpWuX+vXQ25u6WPq1IFu3U7Vr27dIDbW++N5Y8aVrTBgL3CV1nqfUmoA\nMEsp1RHIBmYD9wFfAy8DM4HLTTivqMa01ny66VNGLxlNWm4adWvU5c1+b3Jv53vlapafpaaeftUq\nM7P0MTVrwqWXnipM3btDkybWxHsWUr+EJbYd3caw+cNYe2AtAMPihzHx+onE1IyxODJn87xqtXq1\nUcv27Dn9uAsuKP3m8MILIbQKUzL6ZcyWUmoT8ALQALhXa92jaH8t4BgQr7XeXuY+MuZBnJXWmuW7\nl/PPn/5ZMrmfLLzqP4WF8Ouvpd/1/f776cfFxZUuTJ07Q3j42R/fjvNsVa5+9dJauwIcqX+4XGCj\nC6dVYsdc9qTt4e21b/Puunc5WXiSc+qcw5SbptCvbb8z3s+OuVRGoPM4fLh0/frll9OvWkVHV+6q\nlaXzbCmlGgPtgK3Ag8Cm4tu01jlKqZ1AB8DLBw1CeHey4CSfb/6cN9a8webkzQDUq1mPt/q9JQuv\nmuj48dJXrdau9X7VqmvX0letmjpkpRCpX8Jf1u5fy8Q1E5n962wKdSEA93e5nwnXTaBuzboWR+cM\n+fmwaVPp5iop6fTjzj+/9JvD9u2rdtWqIkxttpRSYcB04GOt9XalVBSQXOawDCDazPPajd3G1FSF\n1bkczT7KpF8m8d669ziSfQSAJlFNePjShxnZdST1a9Wv0ONYnYeZzMolIwM2bjS+VbNhg/GO77ff\nTj+uZcvTr1pZPdbKH6R+CbMVuAuY99s8Jq6eyOr9qwEICwljaMehjOk+hkuaXWJxhMGroMCoV+vX\nG/Wr+M+yX7qJijr9qlX9ir1smMq0ZksZlxamAyeBR4p2ZwF1yhxaFyjzXtmQkJBAXNHIuZiYGOLj\n40teVIoncpTtwG4XC/T5P573MV9u/ZLlejknC0/CbmgT24Zx947jzg53svqn1Wz+eXOFHy8xMTGg\n8dtte8ECFzt2QGFhLzZsgJ9+cnHgAIBxOxjH16jRi65doXlzFx06wP3396JZs1OPd+mlVYun+Pck\nb283LVT1+pVCQsILJVvx8b2Ij+9FXJz3wcBJSd7fcdvh+MOHjY967BJPVY4PK+cVzt/xbP49k/e/\nW8zsbbM5knUYiCAq4kbu7tmDZwfefdqQh4o8vud5guXv39vxcXG+P/727fDDD8af27cb08bs3Glc\nySrrvPOgUydo0QI6dDAer/iqVVyc90arovG4XC5cLhdpaZCWdvrxZ2LamC2l1FSgBdBfa51XtG8E\npcc81AaOImO2hBdaa7774zsmrpnI4p2LS/bfeN6NjO0+ll5xveTjwgpITj51tar4HZ+3QhIRYXwj\n8OKLT/0E+qqVXcZsSf0SZkhKS+LttW/z4YYPycwzevK2sW0Z030M93a+l9oRtS2O0P5yc2Hz5lNX\nqjZsMLa9TSLaunXp+tW1a2CvWvlSv0xptpRS7wMXAddqrXM89jcAdmB8m2cR8BLQQ2t9hZfHkGJV\nTeUW5JaMx9qSvAWAyLBIEuITeLTbo5zf4HyLI7QnrY2vLHteQt+wAfbvP/3YyEijkbrkklOFqX17\n6z8OtEOzJfVLVNXqfauZuGYic7bNwa3dAPSK68WY7mO48bwbg36JMH/JzjbGWHnWsK1bjS/mlHXe\neUbdKq5hXbpAvXqBj9lTQJstpVQLIAnIBYr/ijTwF631F0qpa4B3Md41rgUSvM1T46RiJeODKiY5\nO5lJ6ybx3i/vkZxtDI1pGtWURy57hAcueaDC47EqItifE61h716jGM2Z4yI1tRfr18ORI6cfGxVl\nFCLPwnT++eV/pGIlq5stqV+isgrcBczZNoc31rzBmv1rAGM81pCOQxjTfQwXN73Y4gjtpewY0Q0b\njDFXbnfp40JCjGkWit8UXnKJ8UaxTtkP9G0goN9GLCo85bbtWuvvgQureh7hHFuTt/LGmjeY/r/p\nxngsoEuTLoy9fCx3dLiDiFAHjr72QUGBMR6h7KV0b2sJxsSUvox+ySXQtq1RsMTZSf0SvkrPTeej\njR/x1tq32Jtu9N31atZjZNeRPHTpQ9V+ChqtjTeBW7YYzVVxDTOW5yotLMwYX+V5xb1zZ6hVK/Bx\n+5usjSgCQmvN0l1LmbhmIkt3LQVAobjp/JsY030MV7e8utqNx3K7jbFUW7YYl863bDF+fvvN+/iE\nBg1KX626+GJjVvZg/muz+sqWWaR+Od/u47t5e+3bfLTxo5LxWOfVP4/R3UZzT+d7quV4rJSUU7XL\n809vbww9x4gW17COHY2pZIKVpfNsCeEptyCX6f+bzhtr3uDXo78CUCu8FsPih/Fot0dpV7+dxRH6\nn9bGOCrPhmrrVmOy0Jwc7/eJizO+SeNZmM45J7gbK2eTtRHtqKq5aK1ZvX81E1dPZO5vc0vGY/WO\n683Yy8fSv13/gI3HsvJ5ycgwalbZxurwYe/Hx8QY9Ss+/lQNa9/emOjYSf++fCHNlh8E+/ggT5XN\n5UjWkZL5sY7mHAWgWXSzkvFYngusBkIgnhOtjW8Clr1StXWrUay8adbMeHfXocOpP9u3N2Y0Lo+T\n/n05R5zVAZjGSS+Glc2lwF3A7F9nM3HNRH4+8DMA4SHh3H3R3YzpPob4JvGmxlkRgXhecnJg27bT\nr1TtLWc149q1jZpVXL+Ka1izZuW/MXTSvy9fSLMlTLUleQtvrH6D6Zunk1dofBZ2cdOLGdt9LLd3\nuN0x47FSU09vqLZs8X75HIyPAD2bquLfrf42jRDilLTcND7c8CFvr32bfRn7AIiNjGVU11E8eOmD\nNItuZnGE5jh50pivqmz9+uMP401jWTVqGIPWy74xbNlSxodWlDRbfuCkqw4VySUnP4flfyzn3z//\nm2V/LAOM8ViDzh/E2MvHclWLqywfj1WZ58TthgMHjIGdO3YYY6mKC9OhQ97vU7du6WJU3Fg1alS1\n+D056d+XEFbTWrM5eTMfbfiIqYlTycrLAuD8+uczursxHqtWeHCO2E5LO1W/tm8/9VHg9u3ep1cI\nCzOmWPB8Q9ixozGflR2/zRxM5K9P+KzQXcjGwxtZtmsZ3+3+jp/2/lRyFatWeC3ui7+PR7s/StvY\nthZHenZaw8GDpwqS58+uXacvWFqsVq3Sl8+L/2zeXMZVCWF3BzIOsOyPZXz3x3d898d3JUuBAfRp\n1Ycx3cdwQ7sbgmJ+rIyM0nVr585Tvx875v0+SkG7dqdfaT/vPOvn3nMqabb8wEljaopzSUpLYtmu\nZSz7YxnLdy8n9URqyTEKxSVNL+GODncw4uIR1Iu012djWhtzUzVs2Ou0hmrnztPX0vLUqJFRlNq1\nO/WOr3gJCKsunzvp35cQgZB5MpMf9vxQUsO2HdtW6vZm0c3o37Y/D1/2MJ2bdLYoyvJlZRn1Kjm5\ndDNVvK88tWoZU8G0bVu6ubrgAmOiYxE40mwJr9Jy01ixewUfr/6YEZtHsDN1Z6nb42Li6Nu6L31b\n9+WaVteYOgFpZRQPTvd2hWrnTmOm4vI0aHCqoSr+KS5OdpxIT9hRktUBmMYJg5cL3AX8cvAXFhz+\nmXHTvmL1/tUUuAtKbo+KiKJXXK+SGnZBgwssH+qQnX2qkSrbUJX3rT8wpk7wbKg8f840UN0qTvj3\nVRkyz5YAIK8wjzX715S881t3cF3J15wB6taoyzWtrjGKU5u+tKnXJuDFKTcX9u0zvhmzd6/xMZ9n\nQ5XpdXlzQ2ys92aqXTvja8rCGjLPljCD1pqdqTtZ9odRv1bsXkH6yfSS20NUCJc1v6ykuep2TreA\nf1nH7TaapuL6lZRUuqE6eLD8+0ZEQJs2pzdT7doZQxdkkLo1ZJ4tcVZaa7Yd21bSXLmSXGTnn7r8\nExYSxpXnXlnSXHVt1pWwEP/9c9HaGF9QXIj27oU9e0pve1uaxlNMjPdmql07o9kSQjhHSk4Ky3cv\nL6lhe9L3lLq9bWzbkuaqd6vexNT077uq7OzSbwbL1q99+yA/v/z7h4cbA9G9NVTnnAOhoX4NX/iZ\nNFt+YNcxNYezDvPdH9+VDAw9mFn6rVT7hu1LitPVcVcTFRGFy+Wi+zndq3zukyeNiT3LFiDPolTe\nYPRiYWFG0WnRwviJiytdkOrXL/+SuV2fk8pwUi5CVFRuQS4r964sqV8bDm1Ac+pqYv3I+vRp3Ye+\nrftybetriYuJM+3cbrcxTOFM9au8aV88NWx4qn61aFG6frVoIQ2Vk0mz5WA5+Tn8d89/S975bU7e\nXOr2xrUbc23ra0uKU2XX9HK7jULj+a6u7Du7M405KBYTc6oItWxZuii1aAFNm0oxEqK6cGs3m49s\nLvlo8Mc9P3Ki4NS3WSJCI+jRokfJG8QuTbtU6tuDWhsD0A8eLL9+7dvnfQktTxERcO653mtXixbG\nbU5c809UjIzZcoDsvGx2Hd/FrtRd7Ezdya7ju9h2bBtr9q8pmZIBIDIskp4te5Z8NNipUadyx125\n3XD8uNEkHTly+p+evycne5+zxVNoaOmrUmWbqnPPlcHo1ZGM2RIF7gL2pe8rqV27UnexI3UHq/ev\nJjm79FftLmp8UUlzdVXLq844/1V29tlrV/Gf5S2b5alBg/LrV4sWxjeXZexU9eJL/ZJmKwhorUk9\nkcqu40XNVOquU78f38XhLO+XjRSKS5pdUlKcLj/nCk5k1Si3gfIsRkeOQEGB14f1ql49o5kq711d\ns2ZyVUqczjnNVpzWOsnqMEzhj+VUcgty2X18d0nN8mysdqftLvVNQU/No5vTt41Rv/q06kOd0MZn\nrV3Fv2dlVTy+yEjjynl59atFC+uvSjllmRun5AE2GyCvlKoHTAX6AkeBp7XWX/j7vFaqzJgat3Zz\nKPNQqYZq5/FTjVVablq59w0PiaBpjdY0CGtDPXcbovLbEpHdhojkbqStq8+yI/Cfw8YVqLNdCvcU\nEwPR0S5at+5F48bQuDE0aXL6n40a2X8iPCeNc3JSLsGgYjUsLuBx+UtlXwzTc9NLGijPhmpn6k4O\nZBwoNb6qrIY1mtMovA2xtKFOQVsic9sQnnoReVsuYOdcxcojMOpI+WuMelOjhlHDWrYsv3YV/xkV\nZb8pEspySpPilDx8FYgxW+8BuUBD4GLgG6VUotZ625nvFrwSExO9vhjmF+azN31vSRHakbKL344Y\nv+/N3MVJd/kjxEMLoojIbos63obCY23JO9QGndoGUtuSn9GcvTqUctYKLSU6+sxFx7OBqlkT3nwz\nkdGjT88l2JT3nAQjJ+USJCpQw8p/MxRsEhO9N/Naa47mHC15M7gjdSe/Jxt1bHf6TtLyypmuHFA6\nlBo5cYRltMGd0pa8w20oPNoWUttAWiuO5tfiaAViCw8/e+0q/rNOHXjrLZcj6heU/7wEG6fk4Su/\nNltKqVrALUB7rfUJYKVSaj7wZ+Bpf57bTPn5mtTMXI6mZ3I0I5OUzExSsjI5np1JWk4m6bnGT+bJ\nTLLyMtm+bAVTUtdxojCTXHcmJ8kkV6WSE74XQs4wuCm7oVF8jhtNFEXNFMfbUJjdkBOUfusVFWV8\nfFevpfFnTEzRdtFPo0anik/xj6+XwtPSnPEi4pQ8wFm52F3Fa5h9nxO3G7JyCkhOM+rXscxMUrOK\nfnIySc85Vb8y8zJJnLmBacc/JqeofuXqTPLIIDt8L4WhZ/hsLj8Sjrc+Vbs86phOb8FJdzgnPQ6P\niCiqVW2816/69U9vourV8+0KVGKiC+hVub84m3FKLk7Jw1f+vrJ1HpCvtd7lsW8TcLW3gz9a/DMF\nhW7yC9wUFLopdBf97nZTWOimoFAX/em5zzjO2NYUuou2i/aX/jFud7vd5BXmkVOYSU5hJifcmZzU\nxk++yiQ/JJPC0EwKwzLR4ZlQI/PMTVJZGg6GroeyY5S0gvRzSzVRtU+2IUa3pUFIGxpE1zEKTX2I\naVO68JQtRjExsjCoEAFQ4Ro2dck6ozYVnKpRBUX1q6DQqE8l9arw1E/pmqVL1S93cW3z+HG7NQXu\nQnIKssgpMOpXrmf9UpkUFNUvd1gmRGRC+FnmVfGkW3IsZAl4G+x9IqZUExWR3Za6hcbHfw0jmxJb\nL8SoTxeWX7uKf2rWtP9Hd0KYxd8v11FA2U/ZM4Bobwffv7ab+REojKanqoOzCyJQ+dGEFkQTWhhN\nmDuaCB1NBNHUVNHUDImmVmg0tcKi2Z06l8tDHqJOjWhiIusQExlNbO26tG3Ygsb1a5YUnzp17P/t\nlaSkJKtDMIVT8gBn5RIEKlzDhq+5zD8RhOC98fGFOwSVH0VIgVHDwtzRhLuN+lVD1SFSRRNZVL+S\n3JvozvNE14imTs1o6taMJiYymrj6zWnRMLakcYqJsf9YTSHswq/fRlRKxQM/aa2jPPY9BvTUWg8q\nc6x8FVGIasjO30asaA2T+iVE9WSXbyNuB8KUUm08LsN3BraWPdDOBVcIUW1VqIZJ/RJCnInf59lS\nSn0OaGAExjd5FgJXOPnbiEII55AaJoSoqkCMGHoIqAUkA9OBkVKkhBBBRGqYEKJKbDODvBBCCCGE\nE1n+XTilVD2l1FylVJZSardS6k9Wx1QZSqmHlFLrlFK5SqmpVsdTFUqpCKXUh0qpJKVUulJqg1Kq\nn9VxVYZS6j9KqUNKqTSl1G9KqeFWx1RVSql2SqkTSqlPrY6lspRSrqIcMpRSmUqpoLxS5JT6Bc6p\nYU6qX+C8GlZd65flzRalZ2e+G5iklLrQ2pAq5QDwEvCR1YGYIAzYC1ylta4LPAfMUkq1sDasSnkF\naKW1jgEGAi8rpbpYHFNVvQP8bHUQVaSBB7XWdbTW0VrrYPw/D86pX+CcGuak+gXOq2HVsn5Z2mx5\nzM78rNb6hNZ6JVA8O3NQ0VrP01ovAFKtjqWqtNY5WuvxWut9RdvfALuBS6yNzHda61+11sUzOiqM\n/yRtLAypSpRSQ4DjwHKrYzFBUH+Dz0n1C5xTw5xUv8BZNaw61y+rr2yVNztzB4viEV4opRoD7fAy\nZUcwUEq9q5TKBrYBB4FFFodUKUqpOsCLwFiCvFEp8opSKlkp9aNSyuuqEjYn9SsIBHv9AmfUsOpe\nv6xutnyaYV4EnlIqDOMbWB9rrbdbHU9laK0fwvi31gOYA6WWaAsm44EpWuuDVgdigieB1kBzYAqw\nUCnVytqQfCb1y+acUL/AMTWsWtcvq5utLKBOmX11gUwLYhFlKKUURqE6CTxicThVog2rgHOBUVbH\n46uimcyvBd60OhYzaK3Xaa2ztdb5WutPgZVAf6vj8pHULxtzUv2C4K5hUr/8P4P82VR4hnlhiY+A\nBkB/rbUPK3HbWhjBOd7haqAlsLfoRSQKCFVKtddad7U2NFNogu+jBalf9ubE+gXBWcOqff2y9MqW\n1joH45LoeKVULaVUD+Am4D9WxlUZSqlQpVRNjCWvw5RSNZRSVV3+2jJKqfeBC4CBWus8q+OpDKVU\nQ6XUnUqp2kqpEKXU9cAQ4DurY6uEyRgFNh7jBf194GvgOiuDqgylVF2l1HXF/0eUUkOBq4DFVsfm\nCyfVL3BWDXNC/QJH1bBqX7+s/hgRnDM787NADvA3YGjR789YGlElFX1F+gGM/xhHiuYRyQjCOYQ0\nxuX2fRjfsPoX8GjRt5OCitY6V2udXPyD8RFWrtY6GL85Fg68jPF//ihGDRiktd5paVSV45T6BQ6p\nYQ6qX+CQGib1S2aQF0IIIYTwKztc2RJCCCGEcCxptoQQQggh/EiaLSGEEEIIP5JmSwghhBDCj6TZ\nEkIIIYTwI2m2hBBCCCH8SJotIYQQQgg/kmZLCCGEEMKPpNkSQgghhPCj/wfYNa6fkA5CtAAAAABJ\nRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x5f3e048>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"n = np.array([0,1,2,3,4,5])\n",
"xx = np.linspace(-0.75, 1., 100)\n",
"fig, axes = plt.subplots(1, 2, figsize=(10,3))\n",
"\n",
"# default grid appearance\n",
"axes[0].plot(x, x**2, x, x**3, lw=2)\n",
"axes[0].grid(True)\n",
"\n",
"# custom grid appearance\n",
"axes[1].plot(x, x**2, x, x**3, lw=2)\n",
"axes[1].grid(color='b', alpha=0.5, linestyle='dashed', linewidth=0.5)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"anaconda-cloud": {},
"kernelspec": {
"display_name": "Python [default]",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.2"
}
},
"nbformat": 4,
"nbformat_minor": 1
}
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