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{ |
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{ |
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"metadata": { |
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"metadata": { |
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"name": "" |
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"name": "", |
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|
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"signature": "sha256:c177e3c216df69880e3a36f714fcb1ab7db773810b3ada8627ddf2c30be0c749" |
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"worksheets": [ |
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"worksheets": [ |
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{ |
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{ |
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"outputs": [ |
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"outputs": [ |
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{ |
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{ |
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"output_type": "stream", |
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"output_type": "stream", |
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"stream": "stdout", |
43 |
"stream": "stdout", |
43 |
"text": [ |
44 |
"text": [ |
44 |
"i2c-0\ti2c \ti915 gmbus ssc \tI2C adapter\r\n", |
45 |
"i2c-0\ti2c \ti915 gmbus vga \tI2C adapter\r\n", |
45 |
"i2c-1\ti2c \ti915 gmbus vga \tI2C adapter\r\n", |
46 |
"i2c-1\ti2c \ti915 gmbus dpc \tI2C adapter\r\n", |
46 |
"i2c-2\ti2c \ti915 gmbus panel \tI2C adapter\r\n", |
- |
|
47 |
"i2c-3\ti2c \ti915 gmbus dpc \tI2C adapter\r\n", |
47 |
"i2c-2\ti2c \ti915 gmbus dpb \tI2C adapter\r\n", |
48 |
"i2c-4\ti2c \ti915 gmbus dpb \tI2C adapter\r\n", |
48 |
"i2c-3\ti2c \ti915 gmbus dpd \tI2C adapter\r\n", |
49 |
"i2c-5\ti2c \ti915 gmbus dpd \tI2C adapter\r\n", |
49 |
"i2c-4\ti2c \tDPDDC-A \tI2C adapter\r\n", |
50 |
"i2c-6\ti2c \tDPDDC-B \tI2C adapter\r\n", |
50 |
"i2c-5\ti2c \tDPDDC-C \tI2C adapter\r\n", |
51 |
"i2c-7\ti2c \ti2c-tiny-usb at bus 001 device 070\tI2C adapter\r\n" |
51 |
"i2c-6\ti2c \tCP2112 SMBus Bridge on hiddev0 \tI2C adapter\r\n" |
52 |
] |
52 |
] |
53 |
} |
53 |
} |
54 |
], |
54 |
], |
55 |
"prompt_number": 1 |
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"prompt_number": 3 |
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}, |
56 |
}, |
57 |
{ |
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{ |
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"cell_type": "markdown", |
58 |
"cell_type": "markdown", |
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"metadata": {}, |
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"metadata": {}, |
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"source": [ |
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"source": [ |
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Line 79... |
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}, |
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}, |
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{ |
80 |
{ |
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"cell_type": "code", |
81 |
"cell_type": "code", |
82 |
"collapsed": false, |
82 |
"collapsed": false, |
83 |
"input": [ |
83 |
"input": [ |
84 |
"port = 7" |
84 |
"port = 6" |
85 |
], |
85 |
], |
86 |
"language": "python", |
86 |
"language": "python", |
87 |
"metadata": {}, |
87 |
"metadata": {}, |
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"outputs": [], |
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"outputs": [], |
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"prompt_number": 2 |
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"prompt_number": 4 |
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}, |
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}, |
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{ |
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{ |
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"cell_type": "markdown", |
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"cell_type": "markdown", |
93 |
"metadata": {}, |
93 |
"metadata": {}, |
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"source": [ |
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"source": [ |
Line 108... |
Line 108... |
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"import numpy as np" |
108 |
"import numpy as np" |
109 |
], |
109 |
], |
110 |
"language": "python", |
110 |
"language": "python", |
111 |
"metadata": {}, |
111 |
"metadata": {}, |
112 |
"outputs": [], |
112 |
"outputs": [], |
113 |
"prompt_number": 3 |
113 |
"prompt_number": 5 |
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}, |
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}, |
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{ |
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{ |
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"cell_type": "markdown", |
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"cell_type": "markdown", |
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"metadata": {}, |
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"metadata": {}, |
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"source": [ |
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"source": [ |
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")" |
140 |
")" |
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], |
141 |
], |
142 |
"language": "python", |
142 |
"language": "python", |
143 |
"metadata": {}, |
143 |
"metadata": {}, |
144 |
"outputs": [], |
144 |
"outputs": [], |
145 |
"prompt_number": 26 |
145 |
"prompt_number": 6 |
- |
|
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}, |
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|
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{ |
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|
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"cell_type": "code", |
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|
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"collapsed": false, |
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|
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"input": [ |
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|
151 |
"cfg = config.Config(\n", |
- |
|
152 |
" i2c = {\n", |
- |
|
153 |
" \"port\": port,\n", |
- |
|
154 |
" },\n", |
- |
|
155 |
" bus = [\n", |
- |
|
156 |
" {\n", |
- |
|
157 |
" \"type\": \"mag01\",\n", |
- |
|
158 |
" \"name\": \"mag\", \n", |
- |
|
159 |
" \"gauss\": 0.88, \n", |
- |
|
160 |
" \"channel\": 0, \n", |
- |
|
161 |
" },\n", |
- |
|
162 |
" ],\n", |
- |
|
163 |
")" |
- |
|
164 |
], |
- |
|
165 |
"language": "python", |
- |
|
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"metadata": {}, |
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|
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"outputs": [], |
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|
168 |
"prompt_number": 10 |
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}, |
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}, |
147 |
{ |
170 |
{ |
148 |
"cell_type": "markdown", |
171 |
"cell_type": "markdown", |
149 |
"metadata": {}, |
172 |
"metadata": {}, |
150 |
"source": [ |
173 |
"source": [ |
Line 159... |
Line 182... |
159 |
"mag_sensor = cfg.get_device(\"mag\")\n", |
182 |
"mag_sensor = cfg.get_device(\"mag\")\n", |
160 |
"time.sleep(0.5)" |
183 |
"time.sleep(0.5)" |
161 |
], |
184 |
], |
162 |
"language": "python", |
185 |
"language": "python", |
163 |
"metadata": {}, |
186 |
"metadata": {}, |
164 |
"outputs": [], |
187 |
"outputs": [ |
- |
|
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{ |
- |
|
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"output_type": "stream", |
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|
190 |
"stream": "stderr", |
- |
|
191 |
"text": [ |
- |
|
192 |
"WARNING:pymlab.sensors.iic:HID device does not exist, we will try SMBus directly...\n" |
- |
|
193 |
] |
- |
|
194 |
} |
- |
|
195 |
], |
165 |
"prompt_number": 27 |
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"prompt_number": 11 |
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}, |
197 |
}, |
167 |
{ |
198 |
{ |
168 |
"cell_type": "markdown", |
199 |
"cell_type": "markdown", |
169 |
"metadata": {}, |
200 |
"metadata": {}, |
170 |
"source": [ |
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"source": [ |
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"outputs": [ |
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"outputs": [ |
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{ |
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{ |
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"output_type": "stream", |
229 |
"output_type": "stream", |
199 |
"stream": "stdout", |
230 |
"stream": "stdout", |
200 |
"text": [ |
231 |
"text": [ |
201 |
"(499, [5.109999999999999, 163.51999999999998, -689.85])\n" |
232 |
"(499, [-221.19, -34.31, 85.41])\n" |
202 |
] |
233 |
] |
203 |
} |
234 |
} |
204 |
], |
235 |
], |
205 |
"prompt_number": 31 |
236 |
"prompt_number": 18 |
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}, |
237 |
}, |
207 |
{ |
238 |
{ |
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"cell_type": "markdown", |
239 |
"cell_type": "markdown", |
209 |
"metadata": {}, |
240 |
"metadata": {}, |
210 |
"source": [ |
241 |
"source": [ |
Line 219... |
Line 250... |
219 |
"np.savez(\"calibration_data_2Dset\", data=list_meas)" |
250 |
"np.savez(\"calibration_data_2Dset\", data=list_meas)" |
220 |
], |
251 |
], |
221 |
"language": "python", |
252 |
"language": "python", |
222 |
"metadata": {}, |
253 |
"metadata": {}, |
223 |
"outputs": [], |
254 |
"outputs": [], |
224 |
"prompt_number": 32 |
255 |
"prompt_number": 15 |
225 |
}, |
256 |
}, |
226 |
{ |
257 |
{ |
227 |
"cell_type": "markdown", |
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"cell_type": "markdown", |
228 |
"metadata": {}, |
259 |
"metadata": {}, |
229 |
"source": [ |
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"source": [ |
Line 244... |
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"z = list_meas[:, 2]" |
275 |
"z = list_meas[:, 2]" |
245 |
], |
276 |
], |
246 |
"language": "python", |
277 |
"language": "python", |
247 |
"metadata": {}, |
278 |
"metadata": {}, |
248 |
"outputs": [], |
279 |
"outputs": [], |
249 |
"prompt_number": 3 |
280 |
"prompt_number": 16 |
250 |
}, |
281 |
}, |
251 |
{ |
282 |
{ |
252 |
"cell_type": "markdown", |
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"cell_type": "markdown", |
253 |
"metadata": {}, |
284 |
"metadata": {}, |
254 |
"source": [ |
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"source": [ |
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] |
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] |
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}, |
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}, |
279 |
{ |
310 |
{ |
280 |
"metadata": {}, |
311 |
"metadata": {}, |
281 |
"output_type": "display_data", |
312 |
"output_type": "display_data", |
282 |
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cmzdv5dixas6e/QtnzzoZNiyFpKS/M2NG+/20wYMHM3jwYDweDz6fj29+8z4A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8nOXk5NTSccDqiq+g9XXTWqzmZMjpXL52hqw9mWkmFr4U/nWVvVHSrvQRRF+vXr1+hvsrKycDqd\nXHvttWRmZtK9e3fef/99YmJiyMvLIyYmxv3dkJAQjEYj+fn5day76OhoCgoKfHszDaBDEl9LC9g9\nm9PW507yF/HBrxNAWSbRUr3R1l6nZ/KMvFDJ7qmIiAg++eQttm/fzsaNZSxfvoH8/KNAOHA7tZ0C\nTgJvAceB5ej1pSQmJpGffx+CINGtW3cWLnyep59+nqKidcAYYBmCUI1KdSWvvDKDuXNnu5/PCy+8\nxuLFn2GxRGO3n0AUL0KvP0xFxRn++Mfb6No1AbVaza5duwgJCeHWW0dht9sJC+vh7hB9zTVX8PHH\nqUjSOGAbEycO9yqmXVZWxsqVezCZEtm+/UP27dsM3ERAwFpWr17PihX/dH/X0zJsyE26detWHI5r\nEcUpvwiGP43ZPJaioqns37+VQ4ee4o03/oRWq0Wr1dYpet++/SBnzsTSpcsQ7HYrGzZsJCoqnISE\nhCa/1xkzriYnJ5u//e1NBOFy9Pr5qFSvc9119+FyuRq0Yp1OJ4cPH6aqqoqEhASWLFnFunV56PVd\n6dGjMyEhEzEaX0CS9jB48A38/PPXiOJx5syZzPTpl+N0Ot3JM7IbVRYol48vx7uUliH8mtmoTPNX\nSrL5wkXaFLRnYXxzUR+hevts0qRJlJSUnPe9d999l06dOvH5558TFBTEokWLmDdvnrsVkedmXG7Y\nXN/nbYEOSXwymrrwN7c5rT/rA+XkAl+USbT0OpUbAPkaALcGpMPhcC8yUJvtuWpVOnb7I0hSNrAZ\nCKTW4nsSSAVqF7OxYyexenUtYdhsNjIyMrjxxvsoK+sNFAIBiKIVrTYUQdBgs1ndRdV79uxh0aLV\nmEyfIwidkKQd2Gy3YbP1QxQvQaebwnvvvc833+zF4bgWtfoA3buv5NtvV7pdLhaLhXXrNqLR/AlB\nCAAmsmPHX8nNzT0vOeTkyQzy8vScPZvG7t2fI0kHUas743AIHD48hkOHDjF27Fj3YizHxepzk8pk\nWDvW0pEkK7VKNvuAUYjifbhc09i48Xn27PmRK64Yd97ice5cKVFRKQBoNDrU6kSMxtImEZ/FYuHr\nrzdz8mQBISGRvPrqo3zxxRaczk+58857uPLK6Q1usJxOJw8+uIAtW4pRqzthNu8gOXkmQUE3YjAk\nk5b2L8LDuxIcnMC11yazffs+eveO54YbbqFv377uTZNcpA2/jlHPnobK1lTNJUP5+SvdqL7oovC/\naPF5HrehJJrvv//e6+enTp1Co9G4cxquueYa3n//fQDi4uIoKipybyrLy8uJiYkhLi6OU6d+7QdZ\nVFTEoEGDfHJPTcEF4mtgsLY0dib/1peQa3Kqq6tb1BneF5ATgqxWKzqdzp1oo2yHExwcjMtVWyBt\ntVoRBIEPPvgWk+kegoKuxumspqqqEtgGxABJQAUq1UaCggaj0agoLy8nLCwMrVbLk0++SnX1I+j1\nV1JTcwaL5QoEYQMuV38k6R0mTRqPSqXCbDYzf/4TmEwDgDgkyQwMAoKBjTidq7Fa/8m336pwuT5E\npxuOJEmkp9/Ol19+yZgxY3jllbfIyMjGZHKi1f4BQah916L4GWlpaXWIz+l0UlhYwPbthwgIuArQ\nIAhdcbmcSJIKQUikvLy8Tpq5t8XYkwxzcnJ4441/YrerkKQ5QA/gA0TxFWpJ0IUoGqipOX/HDBAZ\nGUhOTiEBAYZfzlGEwdCpSe/36683c+JEDJ07T8dkKiEjYy1vvfUMarWaQ4dO8eWXG+nduzMGgwG9\nXk9cXBwul4sfftjGrl0/c/bsCX74oQKN5g0EQU1V1RDOnl1DaOgIXC4JQehNbu4eBg0KYfr0KVx5\n5RV1zi+77tVqtXt8e+tpWF8bJ2WdYX2dK+TxKiejKWveALwl0DRnnv0vWXtwPvFVV1c3Oxu9Z8+e\nFBcXc+DAAVJTU1m3bh0XX3wxABMmTGDlypU899xzrF+/nv79+6NWqxk3bhyvvfYazz77LE6nk+++\n+46HHnrIp/fWEDok8ckvWulCUaKhou+mHt+XZRKyygaAwWDwWWZXU6/TM3NV2R9PuTMH3O4lmQR/\n3SjUtqxRqwXgAJAAHAWmASGoVBpqavL58cdejBt3My+/PJ8pUyaTl1eEVpuCRqMjODgRh+N6tNoF\nBAcbmDZtHM899wwmk4nNmzeTk6Ol1nVaDcQCnwCdAAOSNBtJehWXKwy1urv7mu32bqxYsYL58xdg\nt09DFGdjseQDfwBeB3KAvdx++0k+/XQJo0aNwmq1YjQaOXo0/5fYZjwaTTJW61MIwh+x2fYCO8jJ\nGY/FYjlvIWmIDD/9dBVm8x0EBz+EzfYhDsc+HI5y4BR2+25EcS3Dh8eTlBTp9V1ddtlQVq3aSk5O\nFpJkYeDAAJKTk93nqKysRBTF8zKOJUni5MkCOneejiRJaDQhOJ2J5OTk8MMPadjtwzGbrSxa9Am9\neiURHq5n0qRENBo1X35ZTFzczaSnv4HJ1JmoqHBEMYDq6v6Ul7/NwIFBZGRso6ZmPdHRDv7wh/l1\nFtv6SjCAVvc09EaG8phX1ry1pgBceW3+QlvF+FrSi0+lUrFixQruueceqqur6dOnD++99x7wa5lC\nr169iIqK4qOParOwk5OTefjhhxk6tLbP5GOPPUZiYqLP76c+dEjik+Ft4ZfjVoIgtCp21looE1fk\nIme5i4Kv0BTiU8bxZBUPuUhfPobsgq2pqQE4r17t5psncfz4v6muduBwbKC2N9+z1Fp8rwGLkaRq\nunT5kJCQyVitZ/jzn+9hyJBBjBgxkLVr/4UoPktAgJmIiJ9YtOglpk6d6l4stVotNTU1aDRDMBj6\nUl09EYgETgEfExSkRa3OJDAwirFjR7NhwzOI4jNYraeoqvqArVsH4HA8gCCsoaZmAPAhMAJIo5ac\nTRiNNzBlylyefvohZs6ciMlkQqsdxvDhkZw9e4TBg5/h5MknMZneIzIykTvvXIHJpGHXrkNMmDC6\nwWecn59PaWkpoaGhWK12JCkMlSoEne5+1Oq9JCScJCnpCDk5++nbtwezZo2kZ89kd4q7cjEOCwvj\n9tunYDQaUavVxMTEuN2nn322gXPn7ICD0aO7MH786Drx7uBgHeXl+ej1EYiiiEpVRXa2hZqaQSQk\nDGLDhj0EBs7BZDpG//7XsGHDp2i1JYSHX09BwXFqalzAdqzWG1CreyII67DbjRw8+B4uVwETJ0ax\nZMlrdchG3igpM24bG7ONkaHszvTWuUImS/nvMhnCr9ZefQXgsitfdgfKhKhMoPGXO9Jf8CTUlhav\nDx48mL179573uV6vd8f6PHH33Xc3WibhL3RI4vMcnPLEaShTs7nHl3eQLTlGffqe/oodeoMcx5N3\n4XIcz7MhrBz/lOvjvD23WbNuRKPRsGzZv8jIyKCk5HagCFBTG98LxOmMwuUKpbLyW7TarkhSAhkZ\nGTz++B8pKHiGffsGoVLB/fffyYQJE6iurq6zWA4bNgxBeA2dbiYazVqqqxciCGcJDPw7Gs0QBGED\nr732NBMnTuChh/7Cxo0X43Ta0Wi6IgirfylBuRGYDFwHhABPUxuPfBO4HEmKZMsWHU7nfsaOTQBE\nRoyYTlDQLnJzMxg4sD8XX/wu3bvX1tpVVRVTULCvwee8f/9hvv46DZUqAZfrFBddlIxO9xY220UI\nQgSi+AR3330DDz10v3sBVi7a9cUM4+Li6rjlN27czblzXUlISMXpdLB163ckJKTRs2dPNwFNnjyQ\nzz77DpOpB05nGUOGiISFxQKqX96znYCAsF/OpUGligPy2bPnE0ymPjgcE1CpjmO13gxE4nTm0afP\nG3Tu3A+Xy0l29t/JysoiOTnZPb4AdwlGS1EfGSrLK+QSCPk51RL7r2USnhafDG9kqIwZKtVQ5Plp\nt9vdv/P1RtXX8IzpdYTODNBBiU+GPJCqq6vdC3xrCn89j9tcNJY16mviq69EQo7jybFEwKtbU05t\n98ws9IRKpeKmm2Zy000z+e679dxyy1Ks1lHUDr+vgH7AXrKzX0SrHY0kvU9o6Fm6d/8b0dHRfPrp\nEiorK4HaRctms7kXSrvdjiiKJCYm8u9/v8b8+X+mpKSYyZOH8fbbOzl8+DBFRUUMGbKEqKgoioqK\nWLToRcxmM/fd9wrbtmkAHTabGUkKAaqA2dRmnY4DtgOh1MYijxAS0hmHIxpJMhMZmUNxcQBdunQj\nMrKaQYOmc/RoqZucKioy6d3b++65srKStWu38PHHe4iPv4FBg/ogSYNJT/+UV199jGXL3sJstjBw\nYG+s1jD++c8vmT59BKIouoUMIiIi3O+ssQSazMwSwsNTf/lMRK3uTFpaJp07d3b/vk+fPjz0UCcK\nCwvR6+NJTEykpKSErVu/pahIj05XitH4Gf36TcRiKQeySElJZN264wQGDiUoyE6XLnfgdH5IZKSW\nc+fMBAWp0eu7IAgqzOZkiouL6dSpU4sL+5sKOa6nVqvdHTdEUXR3nVc+J083aUNk6On6VEp+yYld\nvu6v11ZuTugYcmXQgYlPjitA7cIcFhbmFzdiU47pLWmkLcoklMfzjOOFhoa6LbqG4njNLdC+/PLJ\n3HnnFpYtuxVJCgAiEIQA1Op4HI4/IQjxwDg0msfrJBfodDrkrutyfFEpQA2QkpLCjh1r67i3pkyZ\nAsA333zPhx8eRaUKR6fbwh13jKN7965s3/5vHI5vEcWLcDhe+eV5HAS6AD2pzSTtAWxDEAR69eqN\ny5WHwRDIrbdO5ujRk5jNVXTvPpCuXbsSELCDQ4e+ANR066Zl1KjLznsGLpeLVas2ceCABaMxFJMJ\nzp3bTGBgFNXVZcTGhvHUU/P58MONFBf3JTFxNKWlZv72t/eIiEhGr+8KHOSaawbQt2/vJiXQREcH\ncvx4Omr1AMrLc9i2bRXZ2bHs2HGWm28exYAB/REEgcjISCIjI7FYLPz44484HA5uvHE4J0+eJSHB\nxJkzJhyOnVRU2LnttlG4XE4GDnSh1wuo1QGEhk5k/foVhIZehU7n4OTJPVgshXTqNB44RUTEJJxO\nZ4sL+5sDeV55ix0qv1NfT0NPwpLfnWfcUJl1qlKp3FqqnsdW9tdrLRn6Cp5rVEcQqIYOSnwul4uK\nigq0Wq1bV9PXA68pJKVMXGlqY1p/uDqVcU1lHM8zM66hOF5TIQgCb7zxEmPHXsyDD76ORnMbJtMG\nKitViGIUAQGQlDQEqzWJsrIyDAaDV+vAU77JarVy7tw5nE4n8fHx7oVKrVaTnZ3N5s1GunadhVot\nUl6exZo1P3D//ddhNlewZs0TmEw2+vQZSWTkcrZv/xLYDwykNg4ZgiAcZvTo29m8eS1JSbns2NEf\nlwtGjkytM3YmT76UkSOrcLlc6PV6srOzcTqddO7c2W09V1ZWsm9fOidPihQX52OzHcLhCCAlpStx\ncV04dy6K/ft34XT2IjJyBt999yEGg5bsbDMpKQLjx4/C4bDx9ddfctFF3dwEp0xY8STDqVPHUl6+\nnry8LHbu3El8/JX063cxFksFn3yyhquuqkQQatVWoqKiWLJkNZmZEeTmnsXpzOTuuydw990zEQQB\nk8lEQEAAoihSUVFBdPQW7HYjBkMn0tI+RxRDSUqaRVSUiX37DpKZ+QIGwwbmz7+RpKQkn8tueUJW\nEZLnVUPeCKVlqPy9krBky1D5XU8ylEslVCoVdru9jrUnu1WVx/ZMomlIks2fFp834lMWnP9e0SGJ\nT6VSuUmmsrLSbzV3DR1XqXbS1Ma0vh788u5V1i1sTRyvubj66quJiIjkvvuexmgchChWIYrF1NQk\nk5f3NYmJ5YSEhDRaMA21GqHvvPMpZ8/WZk8GB2cSHByFzSaRmppEbGwYkhSN3e7AbncQEBBNfn45\nsbGxvPHGkwwZ0p+8vGEcOVKEw9GDlJQAfvzRiCRdgyBE/UIg/yI+vpATJw6RmHgfVmsCn3++E4Ah\nQ+rWHwUHB2Oz2fjkk285dy4ElUqHwXCIO+6YRGRkJFqtlmPHTmG13kJc3CwKCi9hNL0AACAASURB\nVFZhMm3D6Sxg1Kg7OHYsC4cjGr1ei9F4ELO5O4GB3dDpulFeDhkZh+jV62IcjgA2bNjCwYPFSJKa\n3r1DuPbaieh0uvOeUXBwMLNnX8WpU6coLS2gV69LEUWRgAA9hw5Z+OCDYwQH98Pl2kT37nYyMrqS\nlZWF2XwxNtsoFixYwRdfrOW666YyevToX6xBJ/369eXRR2/k8883YjRuZ9QocDj6IAgCBoOBMWMu\nJjOzGx988Be/9dZTQh6r3kTBm4rmkqE8R2RXqrLWUN48KjeRMrl5U6HxJsmmvAZ/P7+Kigq6d+/e\n+Bf/x9Fhic9fPelk1HfcxuTOWnLM5kLpWoVaGaH63JpNjeO1BGPGXMLYsWM4cmQGarWBtLS/YbFk\nolY7efPNd4mMjGzSwrV+/Rb27jUQGTkag0Fiw4aT9OzZj379BrFu3Q+MHl2JKJoBKzpdCLm5B0hO\njsRqteJ0OomJMXDs2GksliCCg4OxWo8hSV1RqQYBecBAXC4BSdISG9ufhISUX4h4NAcObD+P+AB+\n+uk4mZmxJCWNAaCo6Gc2bdrP9ddPQafTodNpMJtjcbkCCA2dgMsl0qNHEsHBMTgcBwgMVDNgwFC+\n/fY/2O2pOBw5qFRFZGVFUlp6gIoKGxER59i9+yKSkmahUomcOrWTLVv2cPnldXv2yW5sq9VKt27d\niI09hMVSSnBwDEVFueTn55GauoDAwHCs1mHs2vUUen0MJlMXgoOHcfjwF1RVTSQr6yu++24ZsbHv\n0L//XARBR2XlX5g0aRhjxgxl8ODBWK1Wzpx5lezsrwkI6EZV1Q6mTBns947eynvUarUEBgb6PHTh\nSYZyTN7lcqHRaNzzCuomGiktt/rI0LPWUEmGMhHKWd2+lGTzZvGFh5/fFPn3hg5JfOAboeqmHF+G\nUv2lpUk0rSU+T9dqaGgo5eXlbstPPge0Lo7XHPTpk8DevVuIinqMAQM+pqjoRebMiWTQoEE4HA6y\nsrIwGAzuRA5PWCwWXnzxH2RlXYkonkaSdhIdPRJJikKvDyc+fiInTy6nSxcda9f+CZ1Ow6WX9uXW\nW29Ap9NhsVgYOTKVgweXk5X1I5WV79G5cyiRkTGUlW1CpQrH5VpGfHw1MTE/Ehub6n4WDocVrdb7\nc6mqqkGn+7XWLjAwkvLyY+7kpUsv7cv27efQ6w2AGoOhgtLSH1i+/L/U1FQSEyNSXZ1It24GNJpj\n9O49nrQ0PcXFh9FqS8nM3MhFF0VjNvdCra5dLCMj+5CZuanOdcguP7k8R61Wc+ut4/joo2+orAyj\nvPwsPXsmERhYu9jpdAZCQiIxm4/jcPSmpORnqqr0uFyjUalOYbc/SHb2PLp311JYeIri4ospKgpi\n69aN3HVXEVOmTGTBgnv4z3++oajoNIMGdWPGjKmtHSYNwpcZok2BJ8kq53JTEo08ybCxwnv533L3\ndTmjVKlP6hkzbI7Qhi/KGf7X0GGJT4bco83XUJY0yOovOp2uWeov3o7ZUpKuL44nCALV1dXuFG/A\nrbjSUldRczB79i0cO/YMBw/WqrKPHt2Zu+9+iNzcXObNe5aiIg0uVzlz5kzh7rtvP+/3n3yyksLC\naNTqWERxCmazkfz8w4wcOfiXe6ngzJkMKiouZ+TIGZSXZ2Ey7XMTu16vJzc3l/LySKZPf57MzCLO\nnv2BpKSf6NdvGIKgIzhYYPbsufTv34cPP/yes2d3oVbX9pQbN65ujZ6sNdm1axybNv2I1ZqIWq2j\noOAQY8aEIEkSBoOBe++dicXyJYWFFjSaGi69NITDhx3ASKKju2M0fk9+/noeeugm0tJyWb16PWp1\nHCNHJtGv3+1UVRUC31FTk4Mk1boWKytz6N/fAOBWz7Hb7ee5p5OSknj00VjKy8tRqS5m8eJvMBoz\ncDhsrF37HJWVZwkP12O17qKqahguV09Uqu/QaofjcEQhSS7OndtJaakBQRiK1WoiJmYyK1a8zOjR\nIwgICGDOnJvrLPT+gLyR83eGqBKNkWxTEo08yVBJWsrvyxtSOfTg2bnC89hKSTZvZChfm/L5eeKC\nxddB4M/aOJlsmpq40hhacq3KprSya1X+XF6EZXdKTU2N+/hqtdodpG9MVLmlkCfpwoVPYTQaEUWR\nTp06oVKpePrpNyksvJ7IyCtxOCp57735pKT0JyUlpc4xsrIK0OmmodOJmM1/R6UqQqvdDAzl3Lks\nJGk/Wm04XbtOpaoqF6vVzE8/lZOZmcnQoUMRBIEzZ7IQxUHExSURF5fEgAHJCMKXTJ48iMpKMwkJ\no0hOTsblcnH33dP46aeTWCyVJCcPJSIiArPZzJkzZ1mzZg8Wi4uePaOYOXMSM2Z047vvVlFTYyM1\ntRPjxl3mzviLi4vjkUeupaSkBI1GQ1ZWPt9/X0CXLuNRqUQCA6+lsPAfBAcH07//RXz77V4KCzNR\nqxMQRS0WSyHDhvWhtLSaY8c+R60OIDq6issuuxybzdZoUbher3crytx77zQ+/PBbli37CJPpLuz2\nVMrKfkCj+Rq9fgsazfe4XLMQhDE4na8DejIzz2GzgUYzFZtNw/HjZ4mLc7q7RMiLvOxOVroKlQki\nLYWyFVNbZYjKVl5zSdYbGULdNk7yXJDnm/x85DkoW5VNkWTzpkKjJMOGiu4vWHy/c/jT1Wm327Hb\n7e4Av7+z2LxBLteQ6/EMhl8tAc84nqxIIbttmuKqac3C5XT+2pVczg707PR8+vQ5wsImACCKIdhs\ng/n2229Rq9UMHDjQfe3Dhg3gs89WExi4lOBggerqF5gxYyIzZ0ZSU2MlKWkGr7/+Bfn5R9i3bxuQ\ngtkczKpVm+jfvz8BAQHY7RZyc/MQhDhiY2Mxm0tJTAwmJaVu01e1Wk1UVBTjxtXG7eTnVFhYyMcf\n7yUk5EqiosI4efIwK1eu4+abp5KcnIRWq63TFDgtLZ1Vq3ZgsUBiooEbbphMaWk5TmclLpeESgV2\neyVarZrCwkK+/TaTXr3mYbVmc+TIMcrK3qR/fwMaTS969uzEqFG1AsARERFuspGt9fT0dH78MZ3A\nQA0XX5zi3s2XlJRQU1NDVFQU8fHxXHbZQFasSKGmZho2WxiiOAibbTNOZzQqVRoBAWuw2T5DrdYR\nGzsWo3EQgpCHWv0tBsMcMjIWcd11Pd2JNQ0lhrSGDGUPilzrKopim1h5soKSL0nWWxsnZVG8sluB\nrGHaHLHupkiyQW24YMuWLVRXVyOLZjQV69at48knn6SmpoaEhASWL19OfHz8b7bzuowOS3wyfGnx\nKa0r2bXkS9JrbomELKzd3Hq8xnan3shQFMVGA+3KRauxXXNSUjznzu0hPHw8RmMe5859x+rVifz3\nv/9kxoxePP74/QiCwPTp0zh+PI0PPpgAqBk9eiBPP/2im+idTifjx/fihReWolLdg91ehCRVsXWr\nkeXLP2Hy5PH897+nyM0t5/TpckJDJYYPF5g69aomvQ+Xy8WmTVtJT9fQo4eD0FAdnTqlcvr0fhwO\nByqVyv285Czijz7aTVjYNURFRZKbe5SVK7/DYNBhsWxn165KoqK6Exqawdixhl/ed18iIjpxySUx\nFBbGUlDwTwoLQ/jmmwDs9izgS7TaCERRxfTpQxk5cgSCIHDs2DHee+8AOt3F2O1V7NnzGbNmXcaO\nHfvZv78MUQwnLKySP/7xGgICArDZijCZLLhc4TidRqAGQeiKKIqEhMRjMBxBFK9iyJCr2bTpZ1Sq\nAZjNL6HTrUavP8N11z1Q73NqLEuyKWQoN36WN0r+JjylK9VX2cxNgVz8bjAY3CEJZcan7Nb01tnD\nW8ywPjKUN6AajYby8nK+/PJLDhw4QFRUFEOGDCElJYXbbruNwYMHe71Op9PJnDlzOHz4MLGxsbz6\n6qs8++yzLFmyhIULF5KcnMyKFSvYsGEDDz74oLvz+quvvlqn8/q0adParPO6jA5LfEozv7XE59m2\nyGAwuCeyL9HYtTa3Hk/e3TUljue5O/VcuGpqas5TwVAuds1NlnnuuQe5//6/UVr6FWlp+4mJuZyE\nhKeRJBtffnk/U6f+xIABAxAEgT//eT4PPngvdrudkJAQ9/XJJDtlynjWrt1LcXEBZ88eISxsFvn5\nmbz66of8859rSE19nssvH4DRmEZOziYmTepFp06NdzRwuVx8/PHX7NkDRUUOysvLKCkpp2vXUKKj\ng90uI6UFXVBQgM0Wj1odSFlZGfn5KjZu3MhFFw3jhhuWcuzYV5w+/RVDhyZy++0zKS8vx+ksBmoF\nm/V6gaKiSrp3v57AwAh+/nkbu3eHctllV6PXG/joozWEhYXQt29fvvvuMOHh0wgJ6YQkSfzwwyn2\n7n2TgoIooqKmMXhwT44e3c+jj77BU0/NoVMnO3l5f8XpHECtkHgyKpWFiIgxREToGTHCRXGxhcBA\nkaAgC0bjWuLjhxEcHMDgwYPPa9vUEJpLhjJ0Ol2bEFB7uFLlOeKZMNOQbFpLyVA+hkyGN998Mzfd\ndBNTp07liy++4MiRIxw8eNBdt+sN8ka/rKyM2NhY4uLiyM3NBX67nddldFjik9Ea4lMmrni2LfJH\n7LC+YzYWx/NHPV5TFi5l7zPZ+m1qbOSiiy7i88/f5eTJk8yde5LOnZ/+5T50qNXJlJaW1vm+HLNS\nLiBKkp0+/WKWLt2LXj+B3NyzFBSsRJJUFBRUk5a2nX79yunaNZaQkP40dY0rLCzk9GkXAwbcisu1\njrNnT3D8eB5RUUHcdtvEOs9K1pKMjIxErU7H6XSwa9cJqqsDMRprXZXh4ccQxRAEIZX09AAWL97A\n7bePokePMtLTv0WtNiCK6XTpEo1OF4LNZiMv7xxBQaPIyyth9+4z2GzBvPDCv7j11gmkp58kPHwU\nWm0QOTlnyc+X6NFjGCZTMhZLZ9au3U14+ACysrbw2mvr6dEjkTNncqio2ITVWoIkhREUdBsxMddQ\nXb2MUaNSUKkkvv56Ib17S9jtRURGRtO/fzfuumt+q8nIc0zJcTX5XcoxL7m5rNLb0JxMxoag3DC1\nlZUnz0tJkpqclaocUzKaQ4YOh8NdcK+crxUVFcTExDB58mQmT57c4DVotVqWLFnC0KFDuf7668nL\ny2PFihUAv9nO6zIuEF8LCEqekA21LWoL4vNmacqft2U9nvL65AkmxxidTqd79yoTtOdk9FSqkBEU\nFMTQoUPp0yeJs2e/ITLySiyWDAThR7p3v/G888sZd94s2WnTJnL06E98+eV+CgtPIEk3IggqJOll\nHI4izp4NxuWyIQifk5DwYJPut5bkwWq10afPRBIS8sjO/pj77ru2TuNXSZJ4883FvP/+KkBi5Mih\n5OXlUVISRni4moEDJ1FSEsepUz9gt0eh10+mc2ctWq3Ip5+u4dFHZ7lVaRISprJ+/Q42b/6SsLBB\n2O2VGI1HyMqKRae7GKu1hPLyM2zdehaDIZHS0psxGHrhdEbicOQwbNj95OVlYLGEY7F0Iji4mOjo\n7uj1o9m27S/odPeQmDiU3Nz92GzLMBhKKC1dRM+e57j00huJiIjg6qunIkmSW/DAH1BmT8ouP+Xz\n9OZtkMnAW9lAUyBbeWq1ut2tvJagOWQItWGK7777js6dOyOKIk8++SSjRo0677j1dV5fu3YtS5Ys\nYevWrRiNRp5++mlWr17N3Llz3cdX4rfQeV1GhyW+lro6lW16Gmpb5E/ia04crz0ms5z9Jmezek5m\nz8kou129xQsFQWDhwid47LGXSE9/D4NBw0sv/bGOW02SJMxmM59//hXbtx8jPNzA3Lk30KNHD/d3\nRFHkgQf+j9zc1/j5ZzWwCUlKBsYCx3E4/o3N1pnoaEOT7lNWlImPN1FQsJ/Q0CSqq9O47LK+53U7\n//TT//Duu7vQ6VYDAps3P8hVV6np0yeWnj2nIggBbN++k5KS0wiCjm7dbCQl9UClUpGdXeve69Wr\nl3vhEkWJ3NztnDy5G4cjF4fDjCBMRxB+RKXaTUlJLMHBLxIQEEhNzTfY7Z8RHj4Xq3ULZ84cZsCA\nkaxb9ypVVVFIUiRW63ACAtIRxXh69x7IuXO5REcbqKqKpGvXo/Tr14VHH32K2NjYNomrNZY92Rxv\ngzfXu7fxqEyYaYtktJZYeS2BkgzltUBWmHG5XOzYsYPt27eTnp5OcnIyNpuNt99+m9tuu82t2Vlf\n5/UDBw4giiKpqbXi54mJiVx//fXMnTv3N9t5XUaHJT4ZTc3qVLoTZXmvhhYBf5VJSJJERUUFco++\n+uJ4DVk//oK8e1WpVA1OZm8704aSZyIiIvj3v99wF/8r653kc3722RqWLTuB0zkDu72YvXuf5dNP\nX6ZLly7uc4SGhjJ//q2sXTuPsrLZCMKVSNJxIAGr9TC5uYPIzv6Qt976J2+++ZLX9+tZO3bvvTew\nZcseCgr2MnJkJGPGXHHebzZs2I3LdTOgQa2ORBDuJTv7A/r3r6KsLBOdLpikpBxuuGEUu3YV0rlz\nLGq1mry8A/ToEYVOp6O8vJxTp05htVrZvr2QSy55BZVKQ15eBtu3v4BG8yMuVxAQisuVjEolUFlp\nQq2+GFH8iB49UsjO1nLmzMP07KkhKqqaoKCuBAVdB+g4eXIh3bpJREVp6do1Bau1jIKCOJ57bhbJ\nycltQgatyZ5sKRnK77Op/QBbi9aURbTmnPKYVRJ7WloaaWlp3Hnnndx///2cPHmSQ4cOcfDgQXe/\nzYaQkJDA8ePHycrKomvXruzfv58+ffoAv93O6zI6LPF51rDUp4PnzZ3YlIHqa+JzOp2YTCaANovj\nNefalOUJLVkkvSXPeJZVOBwOd7G9TO5Qa3mvXr2V/Py7cDgSgWQKCn5izZovmTfv/jrn6dmzJ5Mm\npbBhg43q6oNIUiFOZwUulxWrNQO1OobPP9/HbbcddO9kZSiJXbkwT5s2od77kiSJsrIyKit/wGIp\nRRQFRLGGTp1i+eMfr2bbtgOYzXYGDRrEgAH9GTbsZ1auXE1WloPu3SO47rqJpKenM2fO4xQXh2K3\nlxMSEsCNN/4BtVokLi4Jp9OF3W7Fas3EYjHidG5GFK+gqkqHw/EpISHdKSsrx2g8TkCAmW3b1pCb\na0UUc4iN/Q+dO/cmJqYLt97ag3Xr3sFojMPlymHOnHH07NmzTRZmf8TVGiJDuYRHmfAhe0Za4iZt\nClwuVx1vkb8VZsD7ZsLpdPLee++xevVqFi9ezMCBAwFITU09b8w3hNjYWBYtWsQVV1yBJEkkJyf/\n5juvyxAkf1Vv/8YhqxwAlJWVnaeo4ulOVFoaTT1+RUVFq1UQPKXOzGYzYWFh7gmsnJzyrk6j0dSp\nG/MXmlOe4KvzeWaQysr248bNIjv7KQIDa2vsqqtfZsyYA6xZ8/F5x9m6dQeLFh0mNHQ6giCxatVj\nQAyiOJKAgEk4nf/gqaeimTp1Kps27cflkhgxog8XXXRRs4n9yJEjvPHGIbZsEbDZknE4jhEc/Amb\nN69w1zV5g9VqJT8/n6KiIp5//m327r0EnW42TqcZi+URxo8fyYgR93LgwHp2734Vp/M2RFFHXFwA\nFRUfUVx8BpUqBLu9Bp0uAZerJ6KYSUCAltLSYQhCd9TqYCTpPUaOvIPIyC28+urd2Gw2jEYjnTp1\nIjY2trmvqNlQlijILaf8CaWXQJ4nUNfjIP9pipu0qedsTytPuZnIzs5m3rx5XHzxxSxYsMCvcdrf\nMjq8xSf/XeZ/eWKYzeZ6E1eaevzW7Cnqi+NZLBb3QvGrZuSvcby20ipsKy1P5TmVscOgoKA6RbyD\nB3fl3Ll3sVrNSFIhWu0+dLoId9NaZfLMmDGjqKys5p13/kp6eh6SVIwgzEaluhyL5TCiCC4XPP/8\nagRhIiCwc+d6/vznK+nVq1ed66qpqXFvnLwV/hYUGAkPH8zs2f3IyMigpmYI3bs76yU9+b0fOHCQ\n5ct3Iwjd2LXrNKL4V7TaECAEq3UMOTmrMRgKSUs7QUzMEGy2ZHJysqmqOofT6aJ375e55JJRlJXV\nsGHDn6ipOUxo6A2UlGxBFOcgCCdQq3VYrWFkZDzHY4/9Bb1eT1hYGF26dPH7+5STnxrqleePc9bX\nucGXMUPPc7aHlSfrs8pz0+Vy8dFHH7F8+XLefPNNRowY4ffr+C2jwxKfEvICKndOkAPOvpiM9blQ\nG/q+J/EqG6/qdDq3m0ZJrPJO0t8Lli968rXknJ5CyzJkd9bs2Tdz4MDbOBy70GhCEcWuTJzYD4fD\ngdVqPS+T1Gg0Ul7eCY3mHgICjNTULMbh0CEIGuLjs7FYorDZhhMd3Y3AwEiOHDnA3Xe/TLduXRk7\ntjezZ99IenoG77zzNTU1IWg05fTvH0F+vg2DQcvMmZfRo0cPYmMjsNnS0OtTGDRoIDk5O+nTJ8Hr\nfZpMJr7+ej3nzpWwbduP9O37LHp9FGr1Mszmb1GruxMQIAHfEBCg4cSJPeTklCGKBioq5iMIYwET\nKpWR7GwTZrMLk8mMShVHaGgUgYHXY7evRxAy0esDCQvrTXm5hSlTUkhNHeouF7BarXUWeHmT5Qsr\nxdPiaqu4mjJ7simdG1qbQAO0i5Xn7ZwFBQU89NBDdO/enU2bNrlr6DoyOqyrUx4kUKtPJ8eMAgMD\nfTZIvblQG4JnyyKtVut273nG8WQXo+zCUCa4NEdNpalQ7tDbsr6pOef84ouvee+9r7DbnVx99SXc\ne++ddSSblJmkN900H5NpAaWlesrLAzGZPiUo6HuCgjozfXoYWVlFHDgAOl0kQUEuysp0qFSpmEwO\n7PYfGDvWhNMZSlnZVQQHd8LhMJKR8S8mTHgSSXJgta7h2WdvIT4+nlWrvmXHjjwEQUdCgot77pnp\nLrSH2ve+e/duli9fQ0FBf+LjU9i06QMEYRJ2uwur9SfM5h8QhEBEsQJBcNGt27NkZtZgs21Crb4I\nqzUVQXgDUfwDovg1KpWFUaNu59y508AZIiK6UFhYQ1nZSaqrM9HrL0cQsoiLO8Xatf88L0vW0+3X\n1BKUxt6nbHHJcmP+hqeV52uLy5MM5T/wa+2qRqPxS8xQCWX5R2BgoFt8/4svvuDtt99m4cKFXHrp\npX6fs/8r6LAWn5JAZImxsLAwnw6Mpro7vbUsAtwLjkx4UBv7qa9UQE4IkdPeG1JTaep9eroY2zrz\nrTl1h9deexXXXutdakyZSarT6TAYAjGbLcTGdqGqKhe12kJsbCJ9+gSQnNyZr75Ko6xMi1ptpqjI\nBkiIYiBBQRPQaIayefMtiGIy8fGDKC21UlLyM+Hh/RBFLUZjJjt37uXHH3dz551TuO++/2PCBCM/\n//yzOyvX6XTywQefsWPHISoqSrDZkjl16hhOZyZa7WbMZhFJykOvH4xanYxef5DAQC01NdnExj5M\nSMgoNBojgjAIs3kBKtUdSBKEhvbF6SxGFN+kW7fNaDS5iOKNdOlyGeXlaWRnw+jRCUAVISGJ3Hrr\nX4iMjKz3WSnfiXLj4M2Kro8MPd+nr3vleUNbxdWUlqF8TqfT6fa+KNcYX8UMlajvPo1GI48++ihh\nYWFs3LjxPC3cjo4OS3ySJFFZWYkois1SFGkOGiM+b8ovDdXjNVYqIBOkMmCt3JEqM9masmA1tTzB\nl1BKRfnznHPnzuDJJ18DZhIWVkBExAb++MebmDRpAn/4w9OYzeOIjr6d6uqzmM2voFIVo9H0QxBE\nnM4srFaJmppcsrM3EhU1BIcjCIvlFLm5e9m06S2cznE4HL149dVd2GzvEhfXmTVr0lGpkrDZ1lFV\nlcaRI04cjkhstioEYTeCcAsu1/VYreuAt4E0zOaVBAb2R5LCCAycg9W6jJKSXGJjNYAJURQICNCh\nVh/GarXhcBzC6fyY+fNv4JFHHiQrK4tnn11OTk4FLpeJXr0qmTv3/4iKimrWs20pGQqC4FZaaesY\nF7R9XA3OL7gH38UMlfAWP5QkiXXr1vHyyy/z3HPPMWXKlAtWnhd0WFcn4J6QJpMJtVrtzvDyFSor\nK70G7j3jeLJrwpPwPOvxWloq4AlPV5bD4UCSpDquUbkdiq/O2Rhkq1euk2wL1f0DBw6wceMuAgJE\nZs68mk6dOiEIApdccgsFBc8SHNwfECgpWYRW+x7V1dPQ6frgdH5PVZVAQMCNCMJ+HI4iAgIKiIoy\nkp1twWrVAz3RaiEwMIbo6AO4XFHYbHcSGAiVlcspKDgF3IxaPRiHowxYCvQD7ga0wOuoVJOAzahU\npwgKep7w8ChiYkpJT19AePgMIJz8/PeIiwvCai2na9du6PVaZs+ezLXXXu2+z6KiIo4ePQrUpqzL\nGyx/wHNxV6qEKFVVlF4MX8GzxrI942pN/W1LsknrU3yprKzkiSeewOFwsGjRonqbN19AB7b44Ncm\ntE0tYm8uvFl83hJoGovj+XoS11dArty1y9+TXTe+jBcqoVys2toN1rNnT/r163de6UePHomYTFmY\nzU4kSSAw8DTPP/84y5Z9RmFhPuXlRgIDryEoqCuiOBCzeRORkZ8QEhJNTo4euBNRHIvDcQiz+XPy\n8s6i06USHDyGnJznsdkuQZJAEKbicJQjCH2RpDzgZ+B74BrAiCCEolJNQpK2Ex1tpmtXLYmJQ9Hr\nb6BXr+N06ZJESsrjJCUlERMT47WOUq6NGzVqVJuUC8gbOFkHMigoCKBecQJPr0NL0Zri99acszWW\nZUsSaFQqFQ6HA5fLVcfK27ZtG0899RSPP/44M2fOvGDlNYIOTXwyMclFnf46PrQ8jtdWMTXZlSqK\nYp1SAV/GCz1RX0G4P9FQhqiMBx64geee+w/V1f1wufIYNaoT11xzDVOnTuXw4cOsWrWO06ej0eli\nKS6uICCgihkzRrNnjxGDwYLNlojLZQO0OJ0GQkO1aDROHI5MXK5y4BpE8RAOx1HgYsAKpAPhCMIu\nJGk/anV3NBoDBsMBhg0biM32I5GRSRiNBwkNPcWf/jSfuLi4eu+zodR9lhHxegAAIABJREFUf6Eh\n6a/mdCRvDhnWV6/mT/gzflgfGcrPyWq1uufm1VdfTVRUFFVVVVgsFj777DO6devmk+swm8089thj\nbNiwAZvNxtGjR3E4HMyaNYuzZ8+SnJzMp59+6q5TfuGFF/joo4/QaDQsXLiQKVOm+OQ6/IUO7eqU\nXTFWqxW73e4WefYVTCaTe+LW1NSg0+nc1kVjcbyAgIA2i6nJ5QlyU9j64BkvbGm2ny+UXpqL5maI\n5uTk8PPPP2MwGEhJSanzXAoLC3nkkYUYjX0AF3Fx6bzyyiM8+ODLHDump7w8hZqacbhcB+jUaSVB\nQZVERj7D2bNrKC7ejcMxjUGDRnH8+CtYLJ3QaCSSknpRUWFEpdqC1WrD6exNly6d6NOnmtdf/xM7\nd+5n584ThITomTXrCpKTk71et2ciSWuFj5sKuRC9peIJnmQojy8lEcjuUuV8kePBzRWYaCmUVp5e\nr2+TOapMkJHDAC6Xi88//5zPPvsMu91OWVkZJ06c4KKLLuKrr76qd3w0FXPmzCEhIYFnnnnG/dld\nd93FyJEj+b//+z+WLVvG8ePHWbRoEdu2beMvf/kL27Zto7CwkLFjx3L8+PE22Wy1FB2a+OTJJS8U\nvsx8kiSJqqoqt5uwsTjeb50I6kNj8UIlGbZ3DMaXijYVFRUcPXoUQRAYPHgwBoOBtLQ0/vznNzl6\nNAOzWaBr1zDmzbsWm83Bxx+fQJKGU1Ozk5qaE0RFjcBiycViOUNo6BACAsLo1s3CDTfUyp85HA6C\ngoLo16+f213YGNprUfZXiUJ9MTBlOKCt6lfbQ30FvG8orFYrL774IidOnGDp0qVuPVqbzcZPP/1E\nv3793B6llqCgoICJEydy7NixOveYlJTEsWPHCA4OpqKigtTUVNLS0vjrX/9KVFQU8+bNA+Daa6/l\nkUceYfTo0a27eT/it0vJbYjWqqx4Qo7jyaQXHBzc5nG8+uDr8oT64oXe3FiyW7mtXFJKa9bX2X2h\noaGMGTOmzmc9evRgxYq/k5+fj8vlIjo6GoOhtot6//4Hycw8R2zsNFJSniIrKwu9Xk98fDxnzpzB\n6XSSkJCAWq12L+7y5sHhcDToUvaX1mVDaElReHPhze0nJ4XJrlM5Lu2PUgEZ7ZElKkmSO9lL6ao+\nevQoDz/8MLfddhuvvPJKHcLXarWkpKS0+tw//fQTgiAwfvx48vPzSU1NZenSpRiNRrdxEBoa6u6J\nmZ+f7xanhvbrsdccXCA+fEd8cnqxHONwuVxuwmsojtdW8a22Kk9QCk7LSQeSJKHT6dzEK7uo/LFY\nKd3X7RH3iY2NreNiFAThPAFg5UKh/Lt8rKamvitbzfyvJHW0BDIROByOOiLt8v/5ulRAPm57W3my\nKL7dbufNN99k+/btfPjhh3Tv3t1v5y8qKqJnz56sXLkStVrNY489xrPPPnvee1b20Wvo/36L6NDE\np1yYWqurKdfj6XQ6dx+rmpoad5akvHt3Op3uHWpb1hi1tSu1MQHr1tQXNnTOtpbDgqYlzDQHjWX7\neXYWkC1uOU7mr3tuD1c11CUCb++0oeelDGfIguZKN3x946u9yF2eM0or7/Tp0zz00ENceeWVrF+/\n3u/XEhERUUeyccaMGSxcuJCwsDBMJhNBQUFUVFS4yyXi4uIoLi52/764uJj4+Hi/XmNr0aFjfPIi\n0tJOCkrrxVs9njz55PRu2eUnW0O+SONu7Praw5WqFLBuTgp9c+KFnmiP+FZ7uxg1Go070cGX0mLe\n0B6JJN6SOlqDpkixyeUCbU3ucnhEFEX0er079r9kyRK++eYb/vGPf9CvXz+/XwfU1h8PHDiQrVu3\nkpiYyBNPPIHBYCA9PZ0xY8Zw1113sXTpUvbt28f777/P1q1beeaZZ9i4cSOFhYWMHDmSEydOeBVt\n/63ggsVH3c7mTR3kDdXjyTtLecGRyVXOmlTWzPlDysiTfNrDBdaSFPrmxAuVz8put7ephmh7WZZN\nsULkMehwONzXCC2vmfstkHtTe2A2hsbUZ+RxBHXrEX21efCG+kpAMjMzeeCBBxgzZgwbN25sEy+N\njJCQEN5//32uvvpq7HY7o0aN4rnnnqOiooJZs2bxyiuv0K1bNz755BMAxo4dy/jx4+nbty9qtZrF\nixf/pkkPOrjF11hPvvp+I8fxZCFp+XPP/njKJBKdTuf12L4qEZDRnPIEX6EtY2pKPVIlEfozuUEJ\npZJOWwktt9bFWJ+IcmNk2Na98uRrbWsha89YnkajqfPMZM+Dt7KK1owxZTsx+fm6XC6WL1/OJ598\nwltvvdWsxrAX0HRcsPgUf2+qrqYyjuetPKE5SSTK+IRMop670Kbs2tuje4K3nbm/F0c5G1ZuyyQ/\nX1/HCz3RXvEt5eLY0udbX3d7eaPl6XmQ3X1yRmFbxYT9nSXqDZ4am/LzlWOBMjyTZ+qbk00hQ+VY\nUlp5+fn5PPjgg/Tt25dNmzb5XELxAn5Fh7b45J0e1NZlBQUFnbfDVMbxZP97U+vxfKk36bkDVS5U\n8iKm1WrbpPM61LUs2yOm1hj5tCZe6Al5oVPuzP2Ntm7UqlQHsdvtdVSN/G1JK8WW23IstTZjsyWW\ntFJaTV5LJEli1apVLF68mNdff51LLrnkguSYn9GhLT4l6tPVNJlMAHVIURnHk39nsVj8mkTiuWuX\n3bRWq9X9/7Lrz9eJDUq0t2XZ1JhlS+KFnnqkSrdbW2bDtkf8ULZCXC6Xu7tAfZmRvrKk26tcoD4r\nr7moz5Kub4zJ/6fT6dzlLsXFxTz88MPExcWxadMmn6pHLVy4kA8//JBjx45hNBp/N3JjvkCHtvgA\nN3FUVVW5J588MXwVx/M16itP8Cb5BL4RA/aXAkpjUN6rP5RBlC4/+Y/8fFwul/tef69yWM0ln6Zk\nRjYl/vW/cK++OqfsHZEt6DVr1vD888/Tq1cvTp06xf3338/cuXN92k1h586dzJs3D4fDwdGjR39X\ncmO+QIcnPjlWVF1d7c64lCeGXq8HvMfxlLVbv0VXn4yGXKRNdV+11722Z80Y4I4d+qtEQEZ73auv\nyMfb5gG8b7h+C/cqlx35G/URbWlpKQsWLMBkMhETE8OxY8c4fPgwEydOZM2aNa0+b0lJCdOmTeOd\nd97hrrvu4tixY78ruTFf4PdN602E7NKRi2RDQkLaJY7X0PW1tDzBmzvG0+VX38IuE60cZ2qre20P\nNZKG0vY9LWl5996SeKEnlPVxbXmvvuxoIAgCGo2mjiv4tyJb91sgWvm9SpLE5s2beeaZZ3jyySeZ\nMWOG+1qcTiclJSWtPq8kSdx5550sXLiQmJgY9+e/J7kxX6DDE5/D4aC6utrt1lL2D2vrOF591ycn\nkfiivUx9KheeGWuyI0BO6PBXeYASyk1FW7bSaSym5ot4oSfaOnlFhi+yRJsC5YZL3lTYbDY32flb\ntg58F8trDuqz8kwmE0899RRGo5H//ve/REdH1/mdWq0mNja21ef/+9//zqhRo7j00kvJzMysc3wl\n/pflxnyBDk98VquVgIAAnE5nHaUVQRDcE0XW1WxLC6Qtk0iUC7tKpXKXYsiLlr8XqfbelUuS1Gyi\nbaxEoL7+hXKpQHskr8hal+1BtCqViuDg4Dpzpykam/KYbK7GZlv36IO62anKJrG7d+/miSee4MEH\nH+SWW27x67VkZmayYcMGPvroI+x2Ozk5OVx66aW/K7kxX6DDx/jkySbX6MkEIMd3ampq2i221Zb9\n1GRXr1Ieqj5tTaXUW2tjX8qax7aSwmoroq1PnABq9TVl2Tp/qYLI16C0aNsqKak+RZKm/K6x5JmG\nnpm8mZHnbFuNJ2UNojxna2pqeOGFF/j5559ZunQpnTp18vu1KHHu3DmmT5/OsWPHmD179u9GbswX\n6PAW39GjR0lMTESr1bo7KlRXV7tJTi5kbQsBYGUj2rYUxlUSbX2Fw425SJUu2aZkkbZHqQDUrcnz\nt/UuPzM5XuxwONDpdO5Nla/jhZ5ojy7sUFd3srnPuDFZMVnqT0mGslUo1yC2tZUnP2PlnD18+DCP\nPvoos2fPZuHChW1CwJ5QrlcLFy783ciN+QId3uJ7/PHH2bt3Ly6Xi169elFVVcWmTZvYvXs3sbGx\ndeqYlG4YeaHyxW69vvIEf8KTaH21O24si1R29dnt9naxaNuaaJsi7txYIXRj8UJPKONMbfmM29Kd\n6m2cAXWel682EN5Qn5Vnt9t57bXX2LNnD0uXLm11J/QL8A86PPFB7eK0bNkynn76afr06UPXrl3J\nyMggMjKSYcOGMXz4cFJSUtxNRZVEKO88WzLZWlKe4Au0JdEq3X2eIsBNaQ/ji/P/FkigORmxDdUX\nNhZjbY/6OPDeKdzf8IzlyZa0rzYQ9aG+rhEnT55k/vz5XHPNNTzwwANt9uwvoPm4QHxATk4Od911\nFy+99BJDhw4FaidVYWEhe/bsYc+ePRw4cACz2UyvXr3cZNirVy93iYNy9ym7a+pboDzLE9qqQLq9\nkki8xQ89nxn4ptBeifaqP/RHTK0xMXOVSuXeXAQEBLTpu/Vl66Cmwpv0lyc849LN2UDUB28E73Q6\neffdd1m3bh1Lliw5r7HwBfz2cIH4mgGHw8Hx48fdZHjq1CmCgoIYOnQow4cPZ9iwYURERJwXk1Au\nULI7BGrLE9p6MW5rom2qteW5QDVlA9HQedu6lY58D23ZWUAeZ3a7vU4Kuj/ihd7O3V5JM63J2GyM\nDOsLYcgWvCfBnzlzhgceeIAJEybwpz/96XevePJ7wQXiawUkSaKiooJ9+/axe/du9u3bh9FoJCkp\nyW0VDhgwAI1GQ0FBAUajkYSEBKBusoivXDDeoEzZb8sduTK2JbuhmoOWZJG252LcHpqTnpmTchKW\nL+OF3tAerYOgaVZeS9BYJingrkGUm8S6XC7+9a9/sXLlShYvXszgwYNbfR1Wq5Vp06aRmZmJWq3m\nzjvv5Iknnrigs+kHXCA+H8PlcpGRkcHu3bvZs2cPR44cobCwkNLSUmbNmsW8efPo3Lkz8GsHeH8k\nzrRX/NCzMNuXai+eC5Sy44LscmpJTV5r0B6dyaFurzx5MfaG1sQLvR3LW0KHv9EedXnyM5NbNgmC\nwKlTp1iwYAH9+/dn//79jBgxgjfeeMNn7YOsViu7du3isssuw2q1MmLECJYvX86iRYsu6Gz6GBeI\nz4/YuHEj99xzD7179+bWW28lOzubvXv3kpOTQ1xcHMOGDWPYsGEMGTLEXUrhbdfZnMSZ/wW3pi8h\nJ+o4HA532UBLXaTNQXu6U1sbU2ssXujNmm6vpBl/WXmNQVmSIW8sysvLWbp0Kbt27cJisZCeno7L\n5WL06NF88cUXPn//M2fOZO7cucydO/eCzqaPcWFr4EeIosi7777L5ZdfXudzSZLIyclhz549rF+/\nnpdeegmbzUa/fv1ITU1l+PDhdO/eHaCOLJa8uNe3U/cU4m1rq0cQhDarP4S6NXmyKkh9WqS+yiJV\naom2tfKK0tpqyMprDEo3u7fmx8r6QvldOp112+n4G+2lvlJf4X1RUREPP/wwXbp04auvviIwMNA9\nj0+fPu3za5MT695///0LOpt+wAXi8yPGjh3r9XNBEEhISCAhIYHrr78eqF3Ef/zxR/bs2cNrr71G\neno6YWFh7sSZ1NRUQkNDz+v3JS/qUGsNyG7N35usmrfzOp3O88oxmlpo35Ki8fYqCFduaPy1sfBW\nOK7UbVWr1dhsNmw2m99j00orr60kAsG7jqkkSXz99de88cYbvPzyy4wfP959v8p57EvU1NRw/fXX\n8+KLLxIaGnre++7oOpu+wAXi+41Ao9GQmppKamoq999/P5IkYTQa2bt3L3v27GHx4sVUVFTQo0cP\nd+JMz549+eSTT0hKSmLEiBGIotgmi5PSrdnWVo/SndpUq6cpItMNZZF6nrc+dRtfo73KT+o7b1P1\nSFs63trTypPPq7TyysrKeOyxx9Dr9fzwww+Ehob6/VqsViszZ85k2rRp3H777UCtlXdBZ9O3uBDj\n+x+C0+nk9OnT7N69m6+++opt27bRpUsXJkyYwMiRIxk+fLi7FYm3ZAZfuPraozauLc7bUJq7HDds\nq9ZM0H5JM82NqbUkXuiL8/oK3s4rSRIbN27kb3/7G08//TTTp09vk3duNpv/v71zj4qy3P74h5uK\neCEhoVaGojgyiicE1EzzkiKJWXi8VHaU1PB0Sk1L+xGaiseOOmYCxxQTrczQo2WWkuARb5WA4v2C\nWQlaoqglKiDBzPP7g/W+Z4abIMwMwvNZy7XqBd7LoO9+9rO/+7sJCQnhqaeeYubMmepx6bNZ+8jA\ndx8ya9Ys1q5dy8KFC3n22WdJT0/nwIEDpKamcvnyZdq0aaMKZx577DEaNWpUrnCmOlt91trWtJaI\nxHgMlTKlQlGNmtMWy5rPW1vZVmXq29J/3+pClmd83Vu3bhEREUF+fj7R0dG4urqa/V4U9uzZQ1BQ\nEO3atVOPDR8+nGnTpjFmzBgyMzNVn00XFxcA5s+fz/r167Gzs0On0zFkyBCL3e/9jAx89yHHjx+n\nbdu2tGjRoszXDAYDWVlZaiA8evQoBoOBrl27qsIZDw8PAJMXU0VbVoDVeuOscV0wbRUorYqtzUb7\n6lzXnFgiu6zIj1SIksG0jRs3tljQU2qmxhMchBB8//33zJo1i+nTpzN69GiL/X2TWJ56H/i+/fZb\n3nnnHe7cuUObNm345JNPeOihhygoKGD8+PEcPnwYV1dXtVYGsGbNGpYsWQKUmFiHhoZa7wFqiLKy\nPXLkiOo4k5WVVaEPaektKyipkRm/mMz9QrBW0/29NGZXtkVa1a1law2lvdfRQbV1XePBtLVhJ1aV\n65ZnNFBQUEBkZCRZWVmsWLFC1skaAPU68On1etq0acORI0dwc3Nj8eLF/PLLL6xcuZLIyEgKCwtZ\nsGABSUlJLF++nK1bt5KZmUlQUBBHjhzBYDAQEBDA3r17y0xMvp+5mw+pt7c369ato0OHDkyaNMnk\nxQRlHfBr88VkLTFHbfYgVuYEUvpzq4tZrTmpLLusrXpheZRu9VGum56ezowZMwgLCyM0NNQq44Mk\nlqdeqzqVwvUff/yBm5sb7u7u/PbbbwAkJycTExMDQGBgIOPGjQNg9+7dBAcH4+joCEBQUBBJSUmM\nGTPGOg9hBmxsbHB3d+e5557jueeeA0peSCdOnGDZsmW89dZb+Pn5kZ2dTW5urlovVOoKykvJeGJ2\nTYUzxgNpLSlhN0erQFVVpAqNGjWyaLZljUnsVanlVbe/sCp11oqyvD///JNFixZx+PBhNmzYoO72\nSBoG9TrwNWrUiJUrV+Ln58fIkSO5dOkS8fHxAFy6dElVQAK0aNGC69evk52dbZLdNZSmUHt7e9at\nW8fp06fZu3cv/v7+Jj6ka9eu5dq1a7Rr166MD2lNeuQq68kzJ5YWkdja2qoLBCXwKRPYjT8Dc45r\nMp4sYKkWFDDN8mpjMG3pRURFfqRCCPLz8wHTRc2pU6eYNm0ao0ePZsGCBTLLa4DUi8A3aNAgrl27\nZnLMxsaGbdu2sXLlSvbu3cv169d59913+eKLLwgLCwMqbv5sqE2hERERODs7q8/v7OxMYGAggYGB\ngKkPaXx8POHh4djb29O1a1c1GD7yyCMmq3TF69C4dqO0BBQVFVW7J682MN7ms1Z22axZszJ/z0pn\nN8aTxmuiIjUOrJZsvDeXYlNZRCiLpIr6C5Xv/emnn1RnpI8++oj//ve/xMXFodFoanwvdyMhIYG3\n336boqIixo0bR3h4uNmvKbk79SLw7dy5s9zjhw4dwt7eHn9/fwA8PDwYOXIkYWFhuLu7k5OTo8qV\nb9y4QevWrXF3dycjI0M9R05ODn/5y19MzqvX65kzZw6bNm2isLCQb775Bh8fn/teMKNsZVaEra0t\nXl5eeHl5MXbsWHXbLD09nZSUFCIiIkx8SP39/enWrRvNmzc3Ec7cuXNHPaeS9QghzB74rOW8UtUA\nUN3s5m511tLK2GbNmt0XWV51UQRXStuOothUzKPT09NZuXIlv/zyCw8++CDDhg0jNTUVe3t72rdv\nb7b7ysvL4x//+AdpaWm4uLjQv39/goKC8PX1Nds1JVWjXgS+imjTpg2nTp3iwoULPProoxw8eFD1\ntnvqqafYsGEDkZGRJCYm0qVLF+zs7OjXrx9Llixh3rx56PV6duzYwRtvvGFy3vfee4/Lly+rTuiK\nPkin0+Hp6Ul8fDxJSUlMnTpVFcwsXrzYRDATHBx83wtmbGxsaNq0KX369KFPnz6AqQ9pUlISCxcu\nVFfbWq2WgwcPkpOTw3/+8x91eGp1X+jVxVrOK1DzAFBedmMcDCuqs0KJ9VVdDfLmuK6xl6nyOzYY\nDBgMBlq1asWaNWsoKioiLS2N7du3k5GRwXvvvWe2e0pLS6Nbt25qSWXEiBEkJCTIwFcHqNeBz83N\njaioKJ5++mmEEHh6erJ69Wrgf1mXRqPB1dWVdevWAeDp6cn06dPx8/NDCMGMGTPUvjco2fZcu3at\nyfgP5R92QxbMKJTnQ6oICebMmYNWq8XBwYEXXnihjA8p1L5wxhI+l+VhrlaBu3mRGvtr2tjYqM33\nxp6u5sKSWZ4xFW3lXrx4kcmTJ9O9e3eSk5NVwYyySDM3pXUEDz74IOfOnbPItSWVU68DH8CoUaMY\nNWpUmeOOjo5s3Lix3J+ZOHEiEydOLPdrFy5cQK/XM3z4cDIzM+nQoQNxcXG0bt1aCmYqICEhgS+/\n/JLExER69uyJEILff/+d1NRUDhw4UMaHNCAgAK1Wi729fRnhDPxPxGBcLyyNtTIPsLyIRNkiVeqm\nyvBfJSBaIqOuC5+1spVrMBhYv349H3/8McuWLaNHjx4WuZfSKIsUYxqKXqCuU+8D371SkWBm+fLl\nPPzww2zevBknJyeioqKYPHmyGkSlYKYsw4YNY+jQoSYZsouLC0OGDFEtlox9SNesWcPp06dp3Lgx\nvr6+qnDGzc2tjHBG8Vk0DoSKwMHS4hVr1hArmgBflS1S42BY3YzaWlmeUl8uneVdvnyZadOm4enp\nSXJysrrLYg1Km0jn5OTI5vg6ggx8FVCRYCYjIwMHBwecnJwACAkJIS4uDqBGghljNm3axIQJE7h5\n8ybAfS+aUepUlWFnZ4dWq0Wr1TJhwgSEENy+fZtDhw6pKtIrV67wyCOPmPiQKnPR9Ho9eXl56nWU\nF7ixus9cWLOGWNWt3KqMa6qOitRari9QfpYnhGDLli1ER0ezePFi+vbta3XLse7duzNhwgSuXr3K\nAw88wBdffMGCBQusek+SEuq1c4s5MBgMdO7cmXXr1uHv709sbCzp6emsWrVKFcQogpnFixeza9cu\nfvnlF4YOHUp6ejp6vZ6AgAB27NhhUjtUOHfuHOPGjePkyZNq4GvILjPGGAwGLly4wIEDB0hJSVF9\nSH18fLC1tWXDhg1s2bIFX1/fcn0hzTGV3TjwWHJahblcbiry1CzdH6cMALak64txsDXO8n7//Xfe\nfPNNnJ2d0el05XrYWovt27er7Qx/+9vfmDVrlrVvSYIMfPfE0aNHmTRpErdv38bb25vVq1fj7OxM\nQUEBoaGhHD16VBXMeHp6ArB69WqWLl2qCmbGjx9f5rx37txh0KBBfPTRRwQEBHDr1i0A+vXrR0xM\nDD4+PgA89NBDZGdns3btWk6ePMn7778PoIpy6qNopjyEEBw9epSXX36Z3NxcevXqxc8//1ypD6nx\nn5pYYVnLXg0sO7KovC1SRTijtF7UdqN9eRQXF5Ofn4+9vb3a8ymEIDExkX/961/MmzePp59+2upZ\nnuT+QG513gOPPfYYqampZY7fq2BGYcqUKbz66qt06tTJ5LgUzVTMG2+8waRJkwgLC1OzEcWHdN++\nfSxdutTEh7R79+5oNBq1leJehDPWrGtZemSRskWqBHp7e3saN25s0pdpvEVaul5YUyraUr158ybh\n4eEUFRWRmJioDmeVSKqCDHwWpjzRDKAOnnzxxRcpLwmXopmy2NjYsGfPHpOXf0U+pKdPn+bAgQMs\nX76cjIwMnJyc8PPzU+uFrq6uZV7mxsIZe3t7bG1tVbsxS6sXlWBrZ2dntWBbupZXW432FVHeMwsh\n2L9/P7Nnz2bmzJmMGDFCZnmSaiMDn4WpSDSj0+nYvXu32mCfn5+PVqvl2LFjNRbNjBo1ivT0dOzt\n7Rk8eDDR0dHA/S+aAar00lNs1bp27cqkSZMQQlTZh9RgMFBcXExubq7aB6b4axYXF9f6INrSWFNE\nUp1gW51G+7upSI23kY2fOT8/n7lz53Lp0iW2bduGm5ub+R5eUq+RNb46SvPmzdUaX01FMwkJCQwZ\nMgSDwcDQoUP5+9//zrBhw6RoxghjH9KUlBSOHz+Ovb09HTp04OLFi/z222/s37+fRo0aqU325hbO\nGHuKWtLL1FzBtrJxTUowBNQpHcb1y7S0NN5++21ee+01XnrppVpfbNTnxaGkLDLw1VFatGhh0s5Q\nE9GMMW+99RYajYZXXnlFimYqwWAwsHr1av7v//6PgIAAWrRowcWLF8v4kDo6OpZpCyg9Q06pFVY1\ncFlrMC2YZnmWUGyWzgqV4cc//vgjycnJdOvWjd27d/Pjjz8SGxtLmzZtzHIfcnHYsJBbnXUUJehB\nzUUzCvn5+WzdupWEhARAimYqIysrizVr1rBz5078/PyAyn1I/f396d69Ox06dDAZ3KtYiEHZsTnl\nBUJrjQ6y1paqUrcrLCzE1tZW7YFs3LgxWVlZbNy4kfPnz9OxY0fmzZtHr1697rq4uxcUIwVbW1u0\nWi1XrlwBpA1hfUUGvnpCRaKZhIQEHnroIYQQjB8/nrFjx+Ll5aV+XYpmyqddu3YcOHCgjHCmtA9p\nUVERx44dIyUlhSVLlvDTTz/h7Oxs4kPq7OxcZjpF6XqXjY0NhYXAb0mqAAAOHElEQVSFCCEs6voC\n1hXOlOc4U1xcTGJiIhcvXuSbb77Bw8ODEydOkJqayo8//mjWe5KLw4aBDHz1hIpEM1Dygpk0aRKt\nWrVi9uzZ6vHacpoxpj7NH6tKtuXg4IC/vz/+/v68/vrr1fIhNRgMFBUVcePGDRo3bgyULDiKi4vV\nKeP1VThTejah8pxnz57ljTfeYOjQoSQlJakLMD8/PzXzvlfk4lCiIANfPUev1zN+/HhatGihbtko\n1GQ0U3nI+WPV8yHt0KEDp0+fxsHBga1bt5r0FiptE0qjeG0LZ+palqfX64mNjWXr1q2sWLGCLl26\n1Pq168riUGJ9pLilnpOZmUn79u3RaDRqf2CPHj34+OOPa1U0AyV1j5iYGL788ksAoqOjuXXrFhER\nEeZ7wPsQvV5PTEwMc+fOpW/fvgDl+pA2atSo1oUz1szyDAYD+fn5gKm9W2ZmJlOmTKF3795ERERY\n9J6g8sVhbdgQSuoeMvBJao3169ezf/9+Vq5cCUB8fDw//PBDmZdJQ+fYsWO89tprrFq1Cq1WC1Ts\nQ9q1a1f8/f0JCAigbdu2JsIZpa0CqiacsbRiU6H0kNjGjRur44M+/fRTPvvsM6KioggICLDI/ZTG\nkotDSd1ABj5JrfH555/z/fffs3z5cqAk8O3Zs4fY2Fgr31ndQ/G7rOzrhYWFHDlyhJSUFFJSUsjK\nyirXhxQwCYSlhTPGjjPWyPKMRzUpWV52djZTp07F29ub+fPn06RJE4vdk0Qia3ySWqOm88cKCwsJ\nDg4mMzMTOzs7QkNDCQ8P5/r164wZM4bz58/j6enJ559/zgMPPADAggULWLduHQ4ODuh0OoKCgmr9\nuczB3bYmbWxsaNKkCY8//jiPP/44wD35kN66dUtViNrZ2ZlkiOYWzhhneUqbghCCzZs38+GHH7Jk\nyRJ69+4tLcckFkdmfJJa4/bt2/j4+JCWlsYDDzzAgAEDWLBgAX369KnSzxcWFvLDDz/Qv39/CgsL\n6dGjB5988glRUVE8/vjjvPLKK6xatYpTp04RFRXFvn37iIiIYN++fVy5coW+ffty6tQpi7YCWBtj\nH9KUlBTVh9THx4dff/2VY8eO8cMPP9CkSRMTx5Ti4mKTAb61KZxRGvD1ej2Ojo7q7+PatWtMnz6d\n1q1bs2jRIpo3b17ja0kk94IMfJJapTbnj40YMYKwsDDCwsI4ceIEzZs3Jzc3F39/f86dO8ecOXNw\ndXVl8uTJAAwfPpw333yTJ554orYe575DCMG2bdsICwvDw8MDN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ZazCb87HZ6tm5cyPbt6vIzr6FlpYmVq9ezwMP3OyLFs3Ozg74phiv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\n", |
283 |
"text": [ |
314 |
"text": [ |
284 |
"<matplotlib.figure.Figure at 0x7f5b0cca34d0>" |
315 |
"<matplotlib.figure.Figure at 0x7f6d8d55ff10>" |
285 |
] |
316 |
] |
286 |
} |
317 |
} |
287 |
], |
318 |
], |
288 |
"prompt_number": 8 |
319 |
"prompt_number": 17 |
289 |
}, |
320 |
}, |
290 |
{ |
321 |
{ |
291 |
"cell_type": "markdown", |
322 |
"cell_type": "markdown", |
292 |
"metadata": {}, |
323 |
"metadata": {}, |
293 |
"source": [ |
324 |
"source": [ |
Line 300... |
Line 331... |
300 |
"input": [ |
331 |
"input": [ |
301 |
"plt.plot(x, y,'.')" |
332 |
"plt.plot(x, y,'.')" |
302 |
], |
333 |
], |
303 |
"language": "python", |
334 |
"language": "python", |
304 |
"metadata": {}, |
335 |
"metadata": {}, |
305 |
"outputs": [ |
336 |
"outputs": [] |
306 |
{ |
- |
|
307 |
"metadata": {}, |
- |
|
308 |
"output_type": "pyout", |
- |
|
309 |
"prompt_number": 6, |
- |
|
310 |
"text": [ |
- |
|
311 |
"[<matplotlib.lines.Line2D at 0x7f5b0cc2a750>]" |
- |
|
312 |
] |
- |
|
313 |
} |
- |
|
314 |
], |
- |
|
315 |
"prompt_number": 6 |
- |
|
316 |
}, |
337 |
}, |
317 |
{ |
338 |
{ |
318 |
"cell_type": "markdown", |
339 |
"cell_type": "markdown", |
319 |
"metadata": {}, |
340 |
"metadata": {}, |
320 |
"source": [ |
341 |
"source": [ |
Line 328... |
Line 349... |
328 |
"xoffset = (min(x) + max(x))/2\n", |
349 |
"xoffset = (min(x) + max(x))/2\n", |
329 |
"print xoffset" |
350 |
"print xoffset" |
330 |
], |
351 |
], |
331 |
"language": "python", |
352 |
"language": "python", |
332 |
"metadata": {}, |
353 |
"metadata": {}, |
333 |
"outputs": [ |
354 |
"outputs": [] |
334 |
{ |
- |
|
335 |
"output_type": "stream", |
- |
|
336 |
"stream": "stdout", |
- |
|
337 |
"text": [ |
- |
|
338 |
"34.675\n" |
- |
|
339 |
] |
- |
|
340 |
} |
- |
|
341 |
], |
- |
|
342 |
"prompt_number": 37 |
- |
|
343 |
}, |
355 |
}, |
344 |
{ |
356 |
{ |
345 |
"cell_type": "code", |
357 |
"cell_type": "code", |
346 |
"collapsed": false, |
358 |
"collapsed": false, |
347 |
"input": [ |
359 |
"input": [ |
348 |
"yoffset = (min(y) + max(y))/2\n", |
360 |
"yoffset = (min(y) + max(y))/2\n", |
349 |
"print yoffset" |
361 |
"print yoffset" |
350 |
], |
362 |
], |
351 |
"language": "python", |
363 |
"language": "python", |
352 |
"metadata": {}, |
364 |
"metadata": {}, |
353 |
"outputs": [ |
365 |
"outputs": [] |
354 |
{ |
- |
|
355 |
"output_type": "stream", |
- |
|
356 |
"stream": "stdout", |
- |
|
357 |
"text": [ |
- |
|
358 |
"-53.29\n" |
- |
|
359 |
] |
- |
|
360 |
} |
- |
|
361 |
], |
- |
|
362 |
"prompt_number": 39 |
- |
|
363 |
}, |
366 |
}, |
364 |
{ |
367 |
{ |
365 |
"cell_type": "code", |
368 |
"cell_type": "code", |
366 |
"collapsed": false, |
369 |
"collapsed": false, |
367 |
"input": [ |
370 |
"input": [ |
368 |
"plt.plot(x-xoffset, y-yoffset,'.')" |
371 |
"plt.plot(x-xoffset, y-yoffset,'.')" |
369 |
], |
372 |
], |
370 |
"language": "python", |
373 |
"language": "python", |
371 |
"metadata": {}, |
374 |
"metadata": {}, |
372 |
"outputs": [ |
- |
|
373 |
{ |
- |
|
374 |
"metadata": {}, |
- |
|
375 |
"output_type": "pyout", |
- |
|
376 |
"prompt_number": 41, |
- |
|
377 |
"text": [ |
- |
|
378 |
"[<matplotlib.lines.Line2D at 0x7f5bf860a410>]" |
- |
|
379 |
] |
- |
|
380 |
}, |
- |
|
381 |
{ |
- |
|
382 |
"metadata": {}, |
- |
|
383 |
"output_type": "display_data", |
- |
|
384 |
"png": 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mqiQi8pXZIJOjMZZ2hkLAgX/Xrl1YvXr18P22tjaUlJSgvLwczz777PDyZ555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\nDL4AAAAASUVORK5CYII=\n", |
375 |
"outputs": [] |
385 |
"text": [ |
- |
|
386 |
"<matplotlib.figure.Figure at 0x7f5bf86a8fd0>" |
- |
|
387 |
] |
- |
|
388 |
} |
- |
|
389 |
], |
- |
|
390 |
"prompt_number": 41 |
- |
|
391 |
}, |
376 |
}, |
392 |
{ |
377 |
{ |
393 |
"cell_type": "markdown", |
378 |
"cell_type": "markdown", |
394 |
"metadata": {}, |
379 |
"metadata": {}, |
395 |
"source": [ |
380 |
"source": [ |
Line 412... |
Line 397... |
412 |
"except KeyboardInterrupt:\n", |
397 |
"except KeyboardInterrupt:\n", |
413 |
" sys.exit(0)" |
398 |
" sys.exit(0)" |
414 |
], |
399 |
], |
415 |
"language": "python", |
400 |
"language": "python", |
416 |
"metadata": {}, |
401 |
"metadata": {}, |
417 |
"outputs": [ |
402 |
"outputs": [] |
418 |
{ |
- |
|
419 |
"output_type": "stream", |
- |
|
420 |
"stream": "stdout", |
- |
|
421 |
"text": [ |
- |
|
422 |
"83.1246570299\n" |
- |
|
423 |
] |
- |
|
424 |
} |
- |
|
425 |
], |
- |
|
426 |
"prompt_number": 44 |
- |
|
427 |
}, |
403 |
}, |
428 |
{ |
404 |
{ |
429 |
"cell_type": "markdown", |
405 |
"cell_type": "markdown", |
430 |
"metadata": {}, |
406 |
"metadata": {}, |
431 |
"source": [ |
407 |
"source": [ |
Line 448... |
Line 424... |
448 |
"y = list_meas[:, 1]\n", |
424 |
"y = list_meas[:, 1]\n", |
449 |
"z = list_meas[:, 2]" |
425 |
"z = list_meas[:, 2]" |
450 |
], |
426 |
], |
451 |
"language": "python", |
427 |
"language": "python", |
452 |
"metadata": {}, |
428 |
"metadata": {}, |
453 |
"outputs": [], |
429 |
"outputs": [] |
454 |
"prompt_number": 1 |
- |
|
455 |
}, |
430 |
}, |
456 |
{ |
431 |
{ |
457 |
"cell_type": "code", |
432 |
"cell_type": "code", |
458 |
"collapsed": false, |
433 |
"collapsed": false, |
459 |
"input": [ |
434 |
"input": [ |
Line 464... |
Line 439... |
464 |
"ax = Axes3D(fig)\n", |
439 |
"ax = Axes3D(fig)\n", |
465 |
"p = ax.scatter(x,y,z)" |
440 |
"p = ax.scatter(x,y,z)" |
466 |
], |
441 |
], |
467 |
"language": "python", |
442 |
"language": "python", |
468 |
"metadata": {}, |
443 |
"metadata": {}, |
469 |
"outputs": [ |
- |
|
470 |
{ |
- |
|
471 |
"output_type": "stream", |
- |
|
472 |
"stream": "stdout", |
- |
|
473 |
"text": [ |
- |
|
474 |
"Populating the interactive namespace from numpy and matplotlib\n" |
- |
|
475 |
] |
- |
|
476 |
}, |
- |
|
477 |
{ |
- |
|
478 |
"metadata": {}, |
- |
|
479 |
"output_type": "display_data", |
- |
|
480 |
"png": 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Px1Eulw2TntF7ymEHYQ5GxUYBXAEg8Pm/L0M2u9mU9mbUD2lWS1Q6x0tChsMa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\ndK1KAERdWwAAAABJRU5ErkJggg==\n", |
444 |
"outputs": [] |
481 |
"text": [ |
- |
|
482 |
"<matplotlib.figure.Figure at 0x7f5bf86dd450>" |
- |
|
483 |
] |
- |
|
484 |
} |
- |
|
485 |
], |
- |
|
486 |
"prompt_number": 23 |
- |
|
487 |
}, |
445 |
}, |
488 |
{ |
446 |
{ |
489 |
"cell_type": "code", |
447 |
"cell_type": "code", |
490 |
"collapsed": false, |
448 |
"collapsed": false, |
491 |
"input": [ |
449 |
"input": [ |
Line 498... |
Line 456... |
498 |
"noise_window = 10\n", |
456 |
"noise_window = 10\n", |
499 |
"noise_threshold = 1000" |
457 |
"noise_threshold = 1000" |
500 |
], |
458 |
], |
501 |
"language": "python", |
459 |
"language": "python", |
502 |
"metadata": {}, |
460 |
"metadata": {}, |
503 |
"outputs": [], |
461 |
"outputs": [] |
504 |
"prompt_number": 3 |
- |
|
505 |
}, |
462 |
}, |
506 |
{ |
463 |
{ |
507 |
"cell_type": "markdown", |
464 |
"cell_type": "markdown", |
508 |
"metadata": {}, |
465 |
"metadata": {}, |
509 |
"source": [ |
466 |
"source": [ |
Line 516... |
Line 473... |
516 |
"input": [ |
473 |
"input": [ |
517 |
"measurements = np.array(list_meas)" |
474 |
"measurements = np.array(list_meas)" |
518 |
], |
475 |
], |
519 |
"language": "python", |
476 |
"language": "python", |
520 |
"metadata": {}, |
477 |
"metadata": {}, |
521 |
"outputs": [], |
478 |
"outputs": [] |
522 |
"prompt_number": 4 |
- |
|
523 |
}, |
479 |
}, |
524 |
{ |
480 |
{ |
525 |
"cell_type": "markdown", |
481 |
"cell_type": "markdown", |
526 |
"metadata": {}, |
482 |
"metadata": {}, |
527 |
"source": [ |
483 |
"source": [ |
Line 538... |
Line 494... |
538 |
"flt_meas, flt_idx = calibration_utils.filter_meas(measurements, noise_window, noise_threshold)\n", |
494 |
"flt_meas, flt_idx = calibration_utils.filter_meas(measurements, noise_window, noise_threshold)\n", |
539 |
"print(\"remaining \"+str(len(flt_meas))+\" after filtering\")" |
495 |
"print(\"remaining \"+str(len(flt_meas))+\" after filtering\")" |
540 |
], |
496 |
], |
541 |
"language": "python", |
497 |
"language": "python", |
542 |
"metadata": {}, |
498 |
"metadata": {}, |
543 |
"outputs": [ |
499 |
"outputs": [] |
544 |
{ |
- |
|
545 |
"output_type": "stream", |
- |
|
546 |
"stream": "stdout", |
- |
|
547 |
"text": [ |
- |
|
548 |
"460.895326306\n", |
- |
|
549 |
"remaining 346 after filtering\n" |
- |
|
550 |
] |
- |
|
551 |
} |
- |
|
552 |
], |
- |
|
553 |
"prompt_number": 5 |
- |
|
554 |
}, |
500 |
}, |
555 |
{ |
501 |
{ |
556 |
"cell_type": "markdown", |
502 |
"cell_type": "markdown", |
557 |
"metadata": {}, |
503 |
"metadata": {}, |
558 |
"source": [ |
504 |
"source": [ |
Line 572... |
Line 518... |
572 |
" err = y*scipy.ones(len(meas)) - np\n", |
518 |
" err = y*scipy.ones(len(meas)) - np\n", |
573 |
" return err" |
519 |
" return err" |
574 |
], |
520 |
], |
575 |
"language": "python", |
521 |
"language": "python", |
576 |
"metadata": {}, |
522 |
"metadata": {}, |
577 |
"outputs": [ |
523 |
"outputs": [] |
578 |
{ |
- |
|
579 |
"output_type": "stream", |
- |
|
580 |
"stream": "stdout", |
- |
|
581 |
"text": [ |
- |
|
582 |
"initial guess : avg 0.999920050427 std 0.0671243703038\n" |
- |
|
583 |
] |
- |
|
584 |
} |
- |
|
585 |
], |
- |
|
586 |
"prompt_number": 6 |
- |
|
587 |
}, |
524 |
}, |
588 |
{ |
525 |
{ |
589 |
"cell_type": "markdown", |
526 |
"cell_type": "markdown", |
590 |
"metadata": {}, |
527 |
"metadata": {}, |
591 |
"source": [ |
528 |
"source": [ |
Line 605... |
Line 542... |
605 |
" cp1, np1 = calibration_utils.scale_measurements(flt_meas, p1)\n", |
542 |
" cp1, np1 = calibration_utils.scale_measurements(flt_meas, p1)\n", |
606 |
" print(\"optimized guess : avg \"+str(np1.mean())+\" std \"+str(np1.std()))" |
543 |
" print(\"optimized guess : avg \"+str(np1.mean())+\" std \"+str(np1.std()))" |
607 |
], |
544 |
], |
608 |
"language": "python", |
545 |
"language": "python", |
609 |
"metadata": {}, |
546 |
"metadata": {}, |
610 |
"outputs": [ |
547 |
"outputs": [] |
611 |
{ |
- |
|
612 |
"output_type": "stream", |
- |
|
613 |
"stream": "stdout", |
- |
|
614 |
"text": [ |
- |
|
615 |
"optimized guess : avg 0.999137645687 std 0.0293532050592\n" |
- |
|
616 |
] |
- |
|
617 |
} |
- |
|
618 |
], |
- |
|
619 |
"prompt_number": 7 |
- |
|
620 |
}, |
548 |
}, |
621 |
{ |
549 |
{ |
622 |
"cell_type": "markdown", |
550 |
"cell_type": "markdown", |
623 |
"metadata": {}, |
551 |
"metadata": {}, |
624 |
"source": [ |
552 |
"source": [ |
Line 634... |
Line 562... |
634 |
"calibration_utils.plot_results(False, measurements, flt_idx, flt_meas, cp0, np0, cp1, np1, sensor_ref)\n", |
562 |
"calibration_utils.plot_results(False, measurements, flt_idx, flt_meas, cp0, np0, cp1, np1, sensor_ref)\n", |
635 |
"calibration_utils.plot_mag_3d(flt_meas, cp1, p1)" |
563 |
"calibration_utils.plot_mag_3d(flt_meas, cp1, p1)" |
636 |
], |
564 |
], |
637 |
"language": "python", |
565 |
"language": "python", |
638 |
"metadata": {}, |
566 |
"metadata": {}, |
639 |
"outputs": [ |
567 |
"outputs": [] |
640 |
{ |
- |
|
641 |
"output_type": "stream", |
- |
|
642 |
"stream": "stdout", |
- |
|
643 |
"text": [ |
- |
|
644 |
"Populating the interactive namespace from numpy and matplotlib\n" |
- |
|
645 |
] |
- |
|
646 |
}, |
- |
|
647 |
{ |
- |
|
648 |
"output_type": "stream", |
- |
|
649 |
"stream": "stderr", |
- |
|
650 |
"text": [ |
- |
|
651 |
"WARNING: pylab import has clobbered these variables: ['cov', 'info']\n", |
- |
|
652 |
"`%pylab --no-import-all` prevents importing * from pylab and numpy\n" |
- |
|
653 |
] |
- |
|
654 |
} |
- |
|
655 |
], |
- |
|
656 |
"prompt_number": 8 |
- |
|
657 |
}, |
568 |
}, |
658 |
{ |
569 |
{ |
659 |
"cell_type": "markdown", |
570 |
"cell_type": "markdown", |
660 |
"metadata": {}, |
571 |
"metadata": {}, |
661 |
"source": [ |
572 |
"source": [ |
Line 676... |
Line 587... |
676 |
" print (r,(theta*180)/pi,(phi*180)/pi)\n", |
587 |
" print (r,(theta*180)/pi,(phi*180)/pi)\n", |
677 |
" sys.stdout.flush()" |
588 |
" sys.stdout.flush()" |
678 |
], |
589 |
], |
679 |
"language": "python", |
590 |
"language": "python", |
680 |
"metadata": {}, |
591 |
"metadata": {}, |
681 |
"outputs": [ |
592 |
"outputs": [] |
- |
|
593 |
}, |
682 |
{ |
594 |
{ |
683 |
"output_type": "stream", |
595 |
"cell_type": "code", |
- |
|
596 |
"collapsed": false, |
- |
|
597 |
"input": [], |
684 |
"stream": "stdout", |
598 |
"language": "python", |
- |
|
599 |
"metadata": {}, |
685 |
"text": [ |
600 |
"outputs": [] |
- |
|
601 |
}, |
- |
|
602 |
{ |
- |
|
603 |
"cell_type": "code", |
- |
|
604 |
"collapsed": false, |
- |
|
605 |
"input": [], |
686 |
"(1.0033330291141624, 159.16410600293204, 61.66914855382452)\n" |
606 |
"language": "python", |
- |
|
607 |
"metadata": {}, |
- |
|
608 |
"outputs": [] |
687 |
] |
609 |
}, |
688 |
} |
610 |
{ |
- |
|
611 |
"cell_type": "code", |
- |
|
612 |
"collapsed": false, |
- |
|
613 |
"input": [], |
- |
|
614 |
"language": "python", |
- |
|
615 |
"metadata": {}, |
- |
|
616 |
"outputs": [] |
689 |
], |
617 |
}, |
- |
|
618 |
{ |
- |
|
619 |
"cell_type": "code", |
- |
|
620 |
"collapsed": false, |
- |
|
621 |
"input": [], |
- |
|
622 |
"language": "python", |
- |
|
623 |
"metadata": {}, |
690 |
"prompt_number": 35 |
624 |
"outputs": [] |
691 |
} |
625 |
} |
692 |
], |
626 |
], |
693 |
"metadata": {} |
627 |
"metadata": {} |
694 |
} |
628 |
} |
695 |
] |
629 |
] |