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1 {
2 "metadata": {
3 "name": ""
4 },
5 "nbformat": 3,
6 "nbformat_minor": 0,
7 "worksheets": [
8 {
9 "cells": [
10 {
11 "cell_type": "heading",
12 "level": 1,
13 "metadata": {},
14 "source": [
15 "Defining Custom Display Logic for Your Own Objects"
16 ]
17 },
18 {
19 "cell_type": "heading",
20 "level": 2,
21 "metadata": {},
22 "source": [
23 "Overview"
24 ]
25 },
26 {
27 "cell_type": "markdown",
28 "metadata": {},
29 "source": [
30 "In Python, objects can declare their textual representation using the `__repr__` method. IPython expands on this idea and allows objects to declare other, richer representations including:\n",
31 "\n",
32 "* HTML\n",
33 "* JSON\n",
34 "* PNG\n",
35 "* JPEG\n",
36 "* SVG\n",
37 "* LaTeX\n",
38 "\n",
39 "This Notebook shows how you can add custom display logic to your own classes, so that they can be displayed using these rich representations. There are two ways of accomplishing this:\n",
40 "\n",
41 "1. Implementing special display methods such as `_repr_html_`.\n",
42 "2. Registering a display function for a particular type.\n",
43 "\n",
44 "In this Notebook we show how both approaches work."
45 ]
46 },
47 {
48 "cell_type": "markdown",
49 "metadata": {},
50 "source": [
51 "Before we get started, we will import the various display functions for displaying the different formats we will create."
52 ]
53 },
54 {
55 "cell_type": "code",
56 "collapsed": false,
57 "input": [
58 "from IPython.display import display\n",
59 "from IPython.display import (\n",
60 " display_html, display_jpeg, display_png,\n",
61 " display_javascript, display_svg, display_latex\n",
62 ")"
63 ],
64 "language": "python",
65 "metadata": {},
66 "outputs": [],
67 "prompt_number": 1
68 },
69 {
70 "cell_type": "heading",
71 "level": 2,
72 "metadata": {},
73 "source": [
74 "Implementing special display methods"
75 ]
76 },
77 {
78 "cell_type": "markdown",
79 "metadata": {},
80 "source": [
81 "The main idea of the first approach is that you have to implement special display methods, one for each representation you want to use. Here is a list of the names of the special methods and the values they must return:\n",
82 "\n",
83 "* `_repr_html_`: return raw HTML as a string\n",
84 "* `_repr_json_`: return raw JSON as a string\n",
85 "* `_repr_jpeg_`: return raw JPEG data\n",
86 "* `_repr_png_`: return raw PNG data\n",
87 "* `_repr_svg_`: return raw SVG data as a string\n",
88 "* `_repr_latex_`: return LaTeX commands in a string surrounded by \"$\"."
89 ]
90 },
91 {
92 "cell_type": "heading",
93 "level": 3,
94 "metadata": {},
95 "source": [
96 "Model Citizen: pandas"
97 ]
98 },
99 {
100 "cell_type": "markdown",
101 "metadata": {},
102 "source": [
103 "A prominent example of a package that has IPython-aware rich representations of its objects is [pandas](http://pandas.pydata.org/).\n",
104 "\n",
105 "A pandas DataFrame has a rich HTML table representation,\n",
106 "using `_repr_html_`.\n"
107 ]
108 },
109 {
110 "cell_type": "code",
111 "collapsed": false,
112 "input": [
113 "import io\n",
114 "import pandas"
115 ],
116 "language": "python",
117 "metadata": {},
118 "outputs": [],
119 "prompt_number": 2
120 },
121 {
122 "cell_type": "code",
123 "collapsed": false,
124 "input": [
125 "%%writefile data.csv\n",
126 "Date,Open,High,Low,Close,Volume,Adj Close\n",
127 "2012-06-01,569.16,590.00,548.50,584.00,14077000,581.50\n",
128 "2012-05-01,584.90,596.76,522.18,577.73,18827900,575.26\n",
129 "2012-04-02,601.83,644.00,555.00,583.98,28759100,581.48\n",
130 "2012-03-01,548.17,621.45,516.22,599.55,26486000,596.99\n",
131 "2012-02-01,458.41,547.61,453.98,542.44,22001000,540.12\n",
132 "2012-01-03,409.40,458.24,409.00,456.48,12949100,454.53\n"
133 ],
134 "language": "python",
135 "metadata": {},
136 "outputs": [
137 {
138 "output_type": "stream",
139 "stream": "stdout",
140 "text": [
141 "Writing data.csv\n"
142 ]
143 }
144 ],
145 "prompt_number": 3
146 },
147 {
148 "cell_type": "code",
149 "collapsed": false,
150 "input": [
151 "df = pandas.read_csv(\"data.csv\")\n",
152 "pandas.set_option('display.notebook_repr_html', False)\n",
153 "df"
154 ],
155 "language": "python",
156 "metadata": {},
157 "outputs": [
158 {
159 "metadata": {},
160 "output_type": "pyout",
161 "prompt_number": 4,
162 "text": [
163 " Date Open High Low Close Volume Adj Close\n",
164 "0 2012-06-01 569.16 590.00 548.50 584.00 14077000 581.50\n",
165 "1 2012-05-01 584.90 596.76 522.18 577.73 18827900 575.26\n",
166 "2 2012-04-02 601.83 644.00 555.00 583.98 28759100 581.48\n",
167 "3 2012-03-01 548.17 621.45 516.22 599.55 26486000 596.99\n",
168 "4 2012-02-01 458.41 547.61 453.98 542.44 22001000 540.12\n",
169 "5 2012-01-03 409.40 458.24 409.00 456.48 12949100 454.53"
170 ]
171 }
172 ],
173 "prompt_number": 4
174 },
175 {
176 "cell_type": "markdown",
177 "metadata": {},
178 "source": [
179 "rich HTML can be activated via `pandas.set_option`."
180 ]
181 },
182 {
183 "cell_type": "code",
184 "collapsed": false,
185 "input": [
186 "pandas.set_option('display.notebook_repr_html', True)\n",
187 "df"
188 ],
189 "language": "python",
190 "metadata": {},
191 "outputs": [
192 {
193 "html": [
194 "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
195 "<table border=\"1\" class=\"dataframe\">\n",
196 " <thead>\n",
197 " <tr style=\"text-align: right;\">\n",
198 " <th></th>\n",
199 " <th>Date</th>\n",
200 " <th>Open</th>\n",
201 " <th>High</th>\n",
202 " <th>Low</th>\n",
203 " <th>Close</th>\n",
204 " <th>Volume</th>\n",
205 " <th>Adj Close</th>\n",
206 " </tr>\n",
207 " </thead>\n",
208 " <tbody>\n",
209 " <tr>\n",
210 " <th>0</th>\n",
211 " <td> 2012-06-01</td>\n",
212 " <td> 569.16</td>\n",
213 " <td> 590.00</td>\n",
214 " <td> 548.50</td>\n",
215 " <td> 584.00</td>\n",
216 " <td> 14077000</td>\n",
217 " <td> 581.50</td>\n",
218 " </tr>\n",
219 " <tr>\n",
220 " <th>1</th>\n",
221 " <td> 2012-05-01</td>\n",
222 " <td> 584.90</td>\n",
223 " <td> 596.76</td>\n",
224 " <td> 522.18</td>\n",
225 " <td> 577.73</td>\n",
226 " <td> 18827900</td>\n",
227 " <td> 575.26</td>\n",
228 " </tr>\n",
229 " <tr>\n",
230 " <th>2</th>\n",
231 " <td> 2012-04-02</td>\n",
232 " <td> 601.83</td>\n",
233 " <td> 644.00</td>\n",
234 " <td> 555.00</td>\n",
235 " <td> 583.98</td>\n",
236 " <td> 28759100</td>\n",
237 " <td> 581.48</td>\n",
238 " </tr>\n",
239 " <tr>\n",
240 " <th>3</th>\n",
241 " <td> 2012-03-01</td>\n",
242 " <td> 548.17</td>\n",
243 " <td> 621.45</td>\n",
244 " <td> 516.22</td>\n",
245 " <td> 599.55</td>\n",
246 " <td> 26486000</td>\n",
247 " <td> 596.99</td>\n",
248 " </tr>\n",
249 " <tr>\n",
250 " <th>4</th>\n",
251 " <td> 2012-02-01</td>\n",
252 " <td> 458.41</td>\n",
253 " <td> 547.61</td>\n",
254 " <td> 453.98</td>\n",
255 " <td> 542.44</td>\n",
256 " <td> 22001000</td>\n",
257 " <td> 540.12</td>\n",
258 " </tr>\n",
259 " <tr>\n",
260 " <th>5</th>\n",
261 " <td> 2012-01-03</td>\n",
262 " <td> 409.40</td>\n",
263 " <td> 458.24</td>\n",
264 " <td> 409.00</td>\n",
265 " <td> 456.48</td>\n",
266 " <td> 12949100</td>\n",
267 " <td> 454.53</td>\n",
268 " </tr>\n",
269 " </tbody>\n",
270 "</table>\n",
271 "</div>"
272 ],
273 "metadata": {},
274 "output_type": "pyout",
275 "prompt_number": 5,
276 "text": [
277 " Date Open High Low Close Volume Adj Close\n",
278 "0 2012-06-01 569.16 590.00 548.50 584.00 14077000 581.50\n",
279 "1 2012-05-01 584.90 596.76 522.18 577.73 18827900 575.26\n",
280 "2 2012-04-02 601.83 644.00 555.00 583.98 28759100 581.48\n",
281 "3 2012-03-01 548.17 621.45 516.22 599.55 26486000 596.99\n",
282 "4 2012-02-01 458.41 547.61 453.98 542.44 22001000 540.12\n",
283 "5 2012-01-03 409.40 458.24 409.00 456.48 12949100 454.53"
284 ]
285 }
286 ],
287 "prompt_number": 5
288 },
289 {
290 "cell_type": "code",
291 "collapsed": false,
292 "input": [
293 "lines = df._repr_html_().splitlines()\n",
294 "print \"\\n\".join(lines[:20])"
295 ],
296 "language": "python",
297 "metadata": {},
298 "outputs": [
299 {
300 "output_type": "stream",
301 "stream": "stdout",
302 "text": [
303 "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
304 "<table border=\"1\" class=\"dataframe\">\n",
305 " <thead>\n",
306 " <tr style=\"text-align: right;\">\n",
307 " <th></th>\n",
308 " <th>Date</th>\n",
309 " <th>Open</th>\n",
310 " <th>High</th>\n",
311 " <th>Low</th>\n",
312 " <th>Close</th>\n",
313 " <th>Volume</th>\n",
314 " <th>Adj Close</th>\n",
315 " </tr>\n",
316 " </thead>\n",
317 " <tbody>\n",
318 " <tr>\n",
319 " <th>0</th>\n",
320 " <td> 2012-06-01</td>\n",
321 " <td> 569.16</td>\n",
322 " <td> 590.00</td>\n"
323 ]
324 }
325 ],
326 "prompt_number": 6
327 },
328 {
329 "cell_type": "heading",
330 "level": 3,
331 "metadata": {},
332 "source": [
333 "Exercise"
334 ]
335 },
336 {
337 "cell_type": "markdown",
338 "metadata": {},
339 "source": [
340 "Write a simple `Circle` Python class. Don't even worry about properties such as radius, position, colors, etc. To help you out use the following representations (remember to wrap them in Python strings):\n",
341 "\n",
342 "For HTML:\n",
343 "\n",
344 " &#x25CB;\n",
345 "\n",
346 "For SVG:\n",
347 "\n",
348 " <svg width=\"100px\" height=\"100px\">\n",
349 " <circle cx=\"50\" cy=\"50\" r=\"20\" stroke=\"black\" stroke-width=\"1\" fill=\"white\"/>\n",
350 " </svg>\n",
351 "\n",
352 "For LaTeX (wrap with `$` and use a raw Python string):\n",
353 "\n",
354 " \\bigcirc\n",
355 "\n",
356 "After you write the class, create an instance and then use `display_html`, `display_svg` and `display_latex` to display those representations.\n",
357 "\n",
358 "Tips : you can slightly tweek the representation to know from which `_repr_*_` method it came from. \n",
359 "For example in my solution the svg representation is blue, and the HTML one show \"`HTML`\" between brackets."
360 ]
361 },
362 {
363 "cell_type": "heading",
364 "level": 3,
365 "metadata": {},
366 "source": [
367 "Solution"
368 ]
369 },
370 {
371 "cell_type": "markdown",
372 "metadata": {},
373 "source": [
374 "Here is my simple `MyCircle` class:"
375 ]
376 },
377 {
378 "cell_type": "code",
379 "collapsed": false,
380 "input": [
381 "%load soln/mycircle.py"
382 ],
383 "language": "python",
384 "metadata": {},
385 "outputs": [],
386 "prompt_number": 8
387 },
388 {
389 "cell_type": "markdown",
390 "metadata": {},
391 "source": [
392 "Now create an instance and use the display methods:"
393 ]
394 },
395 {
396 "cell_type": "code",
397 "collapsed": false,
398 "input": [
399 "c = MyCircle()"
400 ],
401 "language": "python",
402 "metadata": {},
403 "outputs": [],
404 "prompt_number": 11
405 },
406 {
407 "cell_type": "code",
408 "collapsed": false,
409 "input": [
410 "display_html(c)"
411 ],
412 "language": "python",
413 "metadata": {},
414 "outputs": [
415 {
416 "html": [
417 "&#x25CB; (<b>html</b>)"
418 ],
419 "metadata": {},
420 "output_type": "display_data"
421 }
422 ],
423 "prompt_number": 12
424 },
425 {
426 "cell_type": "code",
427 "collapsed": false,
428 "input": [
429 "display_svg(c)"
430 ],
431 "language": "python",
432 "metadata": {},
433 "outputs": [
434 {
435 "metadata": {},
436 "output_type": "display_data",
437 "svg": [
438 "<svg width=\"100px\" height=\"100px\">\n",
439 " <circle cx=\"50\" cy=\"50\" r=\"20\" stroke=\"black\" stroke-width=\"1\" fill=\"blue\"/>\n",
440 " </svg>"
441 ]
442 }
443 ],
444 "prompt_number": 13
445 },
446 {
447 "cell_type": "code",
448 "collapsed": false,
449 "input": [
450 "display_latex(c)"
451 ],
452 "language": "python",
453 "metadata": {},
454 "outputs": [
455 {
456 "latex": [
457 "$\\bigcirc \\LaTeX$"
458 ],
459 "metadata": {},
460 "output_type": "display_data"
461 }
462 ],
463 "prompt_number": 14
464 },
465 {
466 "cell_type": "code",
467 "collapsed": false,
468 "input": [
469 "display_javascript(c)"
470 ],
471 "language": "python",
472 "metadata": {},
473 "outputs": [
474 {
475 "javascript": [
476 "alert('I am a circle!');"
477 ],
478 "metadata": {},
479 "output_type": "display_data"
480 }
481 ],
482 "prompt_number": 15
483 },
484 {
485 "cell_type": "heading",
486 "level": 2,
487 "metadata": {},
488 "source": [
489 "Adding IPython display support to existing objects"
490 ]
491 },
492 {
493 "cell_type": "markdown",
494 "metadata": {},
495 "source": [
496 "When you are directly writing your own classes, you can adapt them for display in IPython by following the above example. But in practice, we often need to work with existing code we can't modify. We now illustrate how to add these kinds of extended display capabilities to existing objects. To continue with our example above, we will add a PNG representation to our `Circle` class using Matplotlib."
497 ]
498 },
499 {
500 "cell_type": "heading",
501 "level": 3,
502 "metadata": {},
503 "source": [
504 "Model citizen: sympy"
505 ]
506 },
507 {
508 "cell_type": "markdown",
509 "metadata": {},
510 "source": [
511 "[SymPy](http://sympy.org) is another model citizen that defines rich representations of its object.\n",
512 "Unlike pandas above, sympy registers display formatters via IPython's display formatter API, rather than declaring `_repr_mime_` methods."
513 ]
514 },
515 {
516 "cell_type": "code",
517 "collapsed": false,
518 "input": [
519 "from sympy import Rational, pi, exp, I, symbols\n",
520 "x, y, z = symbols(\"x y z\")"
521 ],
522 "language": "python",
523 "metadata": {},
524 "outputs": [],
525 "prompt_number": 16
526 },
527 {
528 "cell_type": "code",
529 "collapsed": false,
530 "input": [
531 "r = Rational(3,2)*pi + exp(I*x) / (x**2 + y)\n",
532 "r"
533 ],
534 "language": "python",
535 "metadata": {},
536 "outputs": [
537 {
538 "metadata": {},
539 "output_type": "pyout",
540 "prompt_number": 17,
541 "text": [
542 "3*pi/2 + exp(I*x)/(x**2 + y)"
543 ]
544 }
545 ],
546 "prompt_number": 17
547 },
548 {
549 "cell_type": "markdown",
550 "metadata": {},
551 "source": [
552 "SymPy provides an `init_printing` function that sets up advanced $\\LaTeX$\n",
553 "representations of its objects."
554 ]
555 },
556 {
557 "cell_type": "code",
558 "collapsed": false,
559 "input": [
560 "from sympy.interactive.printing import init_printing\n",
561 "init_printing()\n",
562 "r"
563 ],
564 "language": "python",
565 "metadata": {},
566 "outputs": [
567 {
568 "latex": [
569 "$$\\frac{3}{2} \\pi + \\frac{e^{\\mathbf{\\imath} x}}{x^{2} + y}$$"
570 ],
571 "metadata": {},
572 "output_type": "pyout",
573 "png": "iVBORw0KGgoAAAANSUhEUgAAAFAAAAAlCAYAAADV/m7fAAAABHNCSVQICAgIfAhkiAAAA9xJREFU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\nifjCwUhTPWrTpk2bFuJflVvSLV1580UAAAAASUVORK5CYII=\n",
574 "prompt_number": 18,
575 "text": [
576 " \u2148\u22c5x \n",
577 "3\u22c5\u03c0 \u212f \n",
578 "\u2500\u2500\u2500 + \u2500\u2500\u2500\u2500\u2500\u2500\n",
579 " 2 2 \n",
580 " x + y"
581 ]
582 }
583 ],
584 "prompt_number": 18
585 },
586 {
587 "cell_type": "markdown",
588 "metadata": {},
589 "source": [
590 "To add a display method to an existing class, we must use IPython's display formatter API. Here we show all of the available formatters:"
591 ]
592 },
593 {
594 "cell_type": "code",
595 "collapsed": false,
596 "input": [
597 "ip = get_ipython()\n",
598 "for mime, formatter in ip.display_formatter.formatters.items():\n",
599 " print '%24s : %s' % (mime, formatter.__class__.__name__)\n"
600 ],
601 "language": "python",
602 "metadata": {},
603 "outputs": [
604 {
605 "output_type": "stream",
606 "stream": "stdout",
607 "text": [
608 " text/html : HTMLFormatter\n",
609 " image/jpeg : JPEGFormatter\n",
610 " image/svg+xml : SVGFormatter\n",
611 " image/png : PNGFormatter\n",
612 " application/javascript : JavascriptFormatter\n",
613 " text/latex : LatexFormatter\n",
614 " application/json : JSONFormatter\n",
615 " text/plain : PlainTextFormatter\n"
616 ]
617 }
618 ],
619 "prompt_number": 6
620 },
621 {
622 "cell_type": "markdown",
623 "metadata": {},
624 "source": [
625 "Let's grab the PNG formatter:"
626 ]
627 },
628 {
629 "cell_type": "code",
630 "collapsed": false,
631 "input": [
632 "png_f = ip.display_formatter.formatters['image/png']"
633 ],
634 "language": "python",
635 "metadata": {},
636 "outputs": [],
637 "prompt_number": 20
638 },
639 {
640 "cell_type": "markdown",
641 "metadata": {},
642 "source": [
643 "We will use the `for_type` method to register our display function."
644 ]
645 },
646 {
647 "cell_type": "code",
648 "collapsed": false,
649 "input": [
650 "png_f.for_type?"
651 ],
652 "language": "python",
653 "metadata": {},
654 "outputs": [],
655 "prompt_number": 21
656 },
657 {
658 "cell_type": "markdown",
659 "metadata": {},
660 "source": [
661 "As the docstring describes, we need to define a function the takes the object as a parameter and returns the raw PNG data."
662 ]
663 },
664 {
665 "cell_type": "code",
666 "collapsed": false,
667 "input": [
668 "%matplotlib inline\n",
669 "import matplotlib.pyplot as plt"
670 ],
671 "language": "python",
672 "metadata": {},
673 "outputs": [],
674 "prompt_number": 22
675 },
676 {
677 "cell_type": "code",
678 "collapsed": false,
679 "input": [
680 "class AnotherCircle(object):\n",
681 " def __init__(self, radius=1, center=(0,0), color='r'):\n",
682 " self.radius = radius\n",
683 " self.center = center\n",
684 " self.color = color\n",
685 " \n",
686 " def __repr__(self):\n",
687 " return \"<%s Circle with r=%s at %s>\" % (\n",
688 " self.color,\n",
689 " self.radius,\n",
690 " self.center,\n",
691 " )\n",
692 " \n",
693 "c = AnotherCircle()\n",
694 "c"
695 ],
696 "language": "python",
697 "metadata": {},
698 "outputs": [
699 {
700 "metadata": {},
701 "output_type": "pyout",
702 "prompt_number": 23,
703 "text": [
704 "<r Circle with r=1 at (0, 0)>"
705 ]
706 }
707 ],
708 "prompt_number": 23
709 },
710 {
711 "cell_type": "code",
712 "collapsed": false,
713 "input": [
714 "from IPython.core.pylabtools import print_figure\n",
715 "\n",
716 "def png_circle(circle):\n",
717 " \"\"\"Render AnotherCircle to png data using matplotlib\"\"\"\n",
718 " fig, ax = plt.subplots()\n",
719 " patch = plt.Circle(circle.center,\n",
720 " radius=circle.radius,\n",
721 " fc=circle.color,\n",
722 " )\n",
723 " ax.add_patch(patch)\n",
724 " plt.axis('scaled')\n",
725 " data = print_figure(fig, 'png')\n",
726 " # We MUST close the figure, otherwise IPython's display machinery\n",
727 " # will pick it up and send it as output, resulting in a double display\n",
728 " plt.close(fig)\n",
729 " return data"
730 ],
731 "language": "python",
732 "metadata": {},
733 "outputs": [],
734 "prompt_number": 24
735 },
736 {
737 "cell_type": "code",
738 "collapsed": false,
739 "input": [
740 "c = AnotherCircle()\n",
741 "print repr(png_circle(c)[:10])"
742 ],
743 "language": "python",
744 "metadata": {},
745 "outputs": [
746 {
747 "output_type": "stream",
748 "stream": "stdout",
749 "text": [
750 "'\\x89PNG\\r\\n\\x1a\\n\\x00\\x00'\n"
751 ]
752 }
753 ],
754 "prompt_number": 27
755 },
756 {
757 "cell_type": "markdown",
758 "metadata": {},
759 "source": [
760 "Now we register the display function for the type:"
761 ]
762 },
763 {
764 "cell_type": "code",
765 "collapsed": false,
766 "input": [
767 "png_f.for_type(AnotherCircle, png_circle)"
768 ],
769 "language": "python",
770 "metadata": {},
771 "outputs": [],
772 "prompt_number": 28
773 },
774 {
775 "cell_type": "markdown",
776 "metadata": {},
777 "source": [
778 "Now all `Circle` instances have PNG representations!"
779 ]
780 },
781 {
782 "cell_type": "code",
783 "collapsed": false,
784 "input": [
785 "c2 = AnotherCircle(radius=2, center=(1,0), color='g')\n",
786 "c2"
787 ],
788 "language": "python",
789 "metadata": {},
790 "outputs": [
791 {
792 "metadata": {},
793 "output_type": "pyout",
794 "png": 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KfPzvhv8VHYOI3Mzi/MX4Z8k/0dbeJjqKw7A4bHCy9iSe3PCkx99iR0TO8ey3z2Jvpedc\nLGdxXEVdcx0yczNRZOYb/IioZ1raW/DkxidxvOa46CgOweK4im9PfIul+5aKjkFEbu54zXG8/fPb\nqDnn/tc7WBxd2F+1H9M3Txcdg4g8xPLC5dh0fJPbPxzI4riC0rpSzNg8A42tjaKjEJEH+cOWPyC/\nKl90DLuwODrR0NyAJflLsK96n+goRORhzrWdQ/qmdJyqPSU6So+xODrxQ9kPeCf3HdExiMhDHTYe\nxt/z/47GFvc8o8Hi+IViUzHSN6eLjkFEHu69ve8h50yO6Bg9wuK4RH1zPd7d865XzKdPROKlb0p3\ny1t0WRyX+KH0B3xS+InoGETkJcobyrEkf4nbnbJicfzHUdNRTNsyTXQMIvIyi/IWud0pKxYHzj8d\n/s6ed3iKioiEcLdTViwO8BQVEYnlbqesvL44SswlmL6FT4cTkViL8hYhtyJXdAybOKQ4amtrMWPG\nDJw+ffqKy5SWluKll17CzJkzMWfOHJSVlTliaLs0tzbjs8LPeIqKiCTB8K0BZfXifzdejd3FsXbt\nWhgMBlRXV3e53Pz58/HAAw9g4cKFGD9+PDIzM+0d2m4F1QXI2JMhOgYREQCgyFyEjcc2Sn4uK7uL\nY+zYsViyZAl0Ot0Vl6mqqoLFYkFKSgoAQK/Xo7q6Gmaz2d7he+ys5Szm7p6Ldmu7sAxERL8057s5\nOGQ8JDpGl1xyjcNoNEKlUl32WXBwMIxGoyuG79Tu0t3YXbpb2PhERJ1pbG1EVm4WGpobREe5Ipdd\nHJfLOw7V2trqquEvU2IugWGbQcjYRERX89nBzyT9xkCXFIdWq+1wWspsNnd5estZWtpasPLgSl4Q\nJyJJM2wzoLy+XHSMTjm0OC69oGMymS6WRXh4OJRKJfLy8gAAOTk5UKvVCA0NdeTwNimoLsDbOW+7\nfFwiou4oMhVhy/EtomN0ytfeDWzYsAE7duyA2WxGRkYG4uLiMH36dKxYsQIAMG3a+Wk8DAYDFi9e\njGXLlkGtVsNgcP2porrmOmTkZPCCOBG5hTm75uCm6JsQr40XHeUyMqtE7/vaunUr9Hq9Q7f5Q+kP\nuHfNvQ7dJhGRM829aS5mDJ0BucyxVxZyc3ORlpbWo3W95slxU5MJf/nhL6JjEBF1y1s/voXDZw+L\njnEZrymOvRV78UPZD6JjEBF1S1NbE1YeWomWthbRUS7yiuKoaKjAS9+9JDoGEVGPvLf3PRw8e1B0\njIu8ojh+LP9R8k9iEhFdSZu1De/nvw9Li0V0FABeUByn607jhZ0viI5BRGSXzw5+hgNnD4iOAcAL\niuPfZf92i9kmiYiu5t0970piKhKPLo7y+nK8uvtV0TGIiBxi3dF1OGwUf4eVRxfH3oq9KK0vFR2D\niMhhPj7wMc61nhOawWOLo7qxms9tEJHHWV64HEdMR4Rm8Nji2Fe1j3dSEZHHabe2Y82RNWhtFzO7\nOOChxWFuMmPeT/NExyAicorFeYtRZCoSNr5HFkfh2UL8VP6T6BhERE7R3NaMDSUbhL1i1uOKo6G5\nAVm5WaJjEBE51ds5b+Oo+aiQsT2uOIpMRVh/bL3oGERETtXQ0oCcMzlCxva44th8fLPoCERELrHg\npwWoaqxy+bgeVRzHa44jc2+m6BhERC5xtOYoDp11/d2jHlUc+yr3oa65TnQMIiKXWV643OUPBHpM\ncZiaTMjYkyE6BhGRS2UfyUaxudilY3pMcRw2HkZeZZ7oGERELtVmbcOu07tcOqZHFEdreyuyj2SL\njkFEJMT/5fwfTteddtl4HlEcx8zH8PGBj0XHICISorKx0qUXyT2iOArPFqK5rVl0DCIiYVYeWonm\nVtf8HnT74mhsacQH+z8QHYOISKh1xetwrPaYS8Zy++I4aj7q8gtDRERS09Le4rLTVW5fHHkVebBC\nzERfRERSsnTfUtQ31zt9HLcuDqPFiPf2vic6BhGRJOwu3Y1jNc4/XeXWxVFiLsFhk/j37xIRScXe\nir1OH8Oti2NXKa9tEBFd6r2978FoMTp1DLctjoqGCizJXyI6BhGRpBwxHUFJTYlTx3Db4jhZexLl\nDeWiYxARSc6B6gNO3b7bFse+qn2iIxARSdLHBR+j7pzzZgp3y+KoPVfLKUaIiK5gb+VenKo75bTt\nu2VxnKw9if1V+0XHICKSrCJTkdO27ZbF4cwdQkTkCdYcWeO0uavcrjia25rxxeEvRMcgIpK0zcc3\nO+10la8jNlJaWopFixahrq4OarUa6enpiIqK6rBcVlYW8vPzoVQqL35mMBgQExNj81inak/h25Pf\nOiI2EZHHOtd2DidqTyBeG+/wbTukOObPn48pU6YgJSUFubm5yMzMxBtvvNFhOZlMhokTJ2LUqFE9\nHut47XFOoU5EZIOdp3fijn53OHy7dp+qqqqqgsViQUpKCgBAr9ejuroaZrO50+WtVvsmJHTF4/RE\nRJ7g66KvcdZy1uHbtfuIw2g0QqVSXfZZcHAwjEYjNBpNh+Wzs7Oxfv16aLVaTJo0CcnJyTaPVXOu\nBl8e+dLeyEREXuFE7QmU15cjpFeIQ7frkFNVcnnHA5fW1tYOn02dOhUKhQIAUFBQgAULFiArKwuB\ngYE2jVNeX46DxoP2hSUi8iKn604jOcz2v6Dbwu5TVVqttsNpKbPZDJ1O12HZC6UBAMnJydBoNKis\nrLR5LFe+jJ2IyBN8X/q9w7dpd3GEh4dDqVQiLy8PAJCTkwO1Wo3Q0FCYTKbLSiU3Nxft7e0AgMLC\nQlgslk7vvrqS3Ipce+MSEXmVr4u/xtlGx17ncMipKoPBgMWLF2PZsmVQq9UwGAwAgBUrVgAApk2b\nBgDYvn07li5dCoVCAZVKBYPBcNlRSFdqmmrwZRGvbxARdcepulMoayhDSKDjrnPIrPbe5uQkW7du\nhV6vv/j1wbMHcfOnNwtMRETknj4d/Snujrv7ss9yc3ORlpbWo+25zZPjpXWloiMQEbmlH0p/cOj2\n3KY4SszOfTEJEZGn2npiK+qaHTfNulsUR2tbKzaf2Cw6BhGRWzpiOoKqxiqHbc8tiqOysRI5Z3JE\nxyAicktt1jZUNFY4bHtuURxVlirUnKsRHYOIyG1VNtj+zNzVuEVxVDY67g9MROSNfj7zs8O25RbF\nccx8THQEIiK3tu3kNoddIJd8cbS2tWLLiS2iYxARubUjRsddIJd8cVRZqnhhnIjITm3WNoed9pd8\ncZiaTDCf6/zdHkREZDtHvZtD8sVhbDKKjkBE5BFK6x0zA4fki8PUZBIdgYjII+SUO+a0v+SLg+/g\nICJyjP3V+x3yTJzki4MXxomIHONYzTHUNHl4cZibzNhftV90DCIij9Dc1gzTOftP/0u6OGrO1eBE\n7QnRMYiIPIYjrhtLujjM58xoaW8RHYOIyGN4fHFwYkMiIsc6WXfS7m1Iujgc+eIRIiICjpqO2r0N\nSRdHfUu96AhERB7lqPkoWtta7dqGpIujrK5MdAQiIo9S3lCO2uZau7Yh6eI4arb/kIqIiP6roqEC\nja2Ndm1D0sVRbCoWHYGIyKNYWi1obPHg4jjTeEZ0BCIij2Pv9WNJF0dFg+Nerk5EROc1NDfYtb6k\ni+Nc2znREYiIPE5DiwcXBxEROZ69fylncRAReZnmtma71mdxEBF5maa2JrvWZ3EQEXkZc5PZrvVZ\nHEREXsbYZLRrfRYHEZGXsXdqdRYHEZGXOWs5a9f6LA4iIi9ztsm+4vB1RIjS0lIsWrQIdXV1UKvV\nSE9PR1RUVI+XIyIi5znXKoHnOObPn48HHngACxcuxPjx45GZmWnXckRE5Dzt1na71re7OKqqqmCx\nWJCSkgIA0Ov1qK6uhtls7tFyRETkXG3WNrvWt7s4jEYjVCrVZZ8FBwfDaDT2aDkiInIu4UccACCX\nd9xMa2vHVxPauhwRETmPFVa71re7OLRabYfTTWazGTqdrkfLERGRc8ll9v3qt7s4wsPDoVQqkZeX\nBwDIycmBWq1GaGgoTCbTxbLoajkiInIde4vDIbfjGgwGLF68GMuWLYNarYbBYAAArFixAgAwbdq0\nLpcjIiLXkdt5zCCzWq32nexykq1bt2LkrpGiYxAReRx9hB7zEuYhLS2tR+vzyXEiIi+j9FPatT6L\ng4jIy4QEhNi1PouDiMjLhPRicRARUTfoAux7DILFQUTkZYIDgu1an8VBRORlgv1ZHERE1A0BPgF2\nrc/iICLyMn4+fnatz+IgIvIyHn3EoVKorr4QERF1S5AiyK71JV0cEYERoiMQEXkcj35yPCqI7yMn\nInI0jz7iSNQmio5ARORR1Ao1evn2smsbki6OOE2c6AhERB6ld1Bvzz5VFRYYJjoCEZFHiQqKglqh\ntmsbki4Oe8/DERHR5RK0CZDJZHZtQ9rF4cfiICJypHhNvN3bkHRxaAO0oiMQEXmUSGWk3duQdHEE\n+wfbfRGHiIj+y94p1QGJF4c2QMs7q4iIHMgRZ3IkXRyBfoHQh+tFxyAi8ggqhcruKdUBiRcHAKRG\npIqOQETkEeI18Z5/xAEA4YHhoiMQEXkEfYQegX6Bdm9H8sXhiAs5REQEpIY75gwOi4OIyEs4ajYO\nyReHNkCL6KBo0TGIiNye1xRHaGAoboq+SXQMIiK3FugbiLBeXlIcAHBrn1tFRyAicmspYSnec8QB\ngKeqiIjsNLL/SAT42veu8QvcojgilHyFLBGRPQaFDHLYttyiOEJ7hfKog4jIDo78C7h7FAcvkBMR\n9ZgjL4wDblIcAC+QExH1lCMvjANuVBx9VH1ERyAickuj4kY57MI4APjas3JpaSkWLVqEuro6qNVq\npKenIyoqqtNls7KykJ+fD6Xyv+/XMBgMiImJsWmsaFU0/OR+aGlvsScyEZHXGRI6xKHbs6s45s+f\njylTpiAlJQW5ubnIzMzEG2+80emyMpkMEydOxKhRo3o0VlRQFIZHDsf3Zd/bE5mIyKvIZXLEqGz7\nC7rN2+zpilVVVbBYLEhJSQEA6PV6VFdXw2w2X3Edq9Xa0+EQ4BuAcYnjerw+EZE3Sg5NRlRQ52eC\neqrHRxxGoxEqleqyz4KDg2E0GqHRaDpdJzs7G+vXr4dWq8WkSZOQnJzcrTEH6gb2NC4RkVeamDgR\nQYogh26zy+LIyMhASUlJh89DQkLw0EMPQS7veMDS2tra6bamTp0KhUIBACgoKMCCBQuQlZWFwEDb\n54aPCoqCwkeB5rZmm9chIvJmyWHd+wu6LbosjmeeeeaK36usrOxwWspsNkOn63wa9AulAQDJycnQ\naDSorKxE//79bQ4bFRSF6yOvx67SXTavQ0TkreQyOWKCHHt9A7DjGkd4eDiUSiXy8vIAADk5OVCr\n1QgNDQUAmEymy4olNzcX7e3tAIDCwkJYLJYr3oF1JQG+ARifOL6nkYmIvMq1Ydc6/PoGYOddVQaD\nAYsXL8ayZcugVqthMBgufm/FihUAgGnTpgEAtm/fjqVLl0KhUEClUsFgMFx2FGKrRF2iPZGJiLzG\nxKSJUCqUV1+wm+wqjujoaPz5z3/u9HsXCuOCZ5991p6hLuqn7odg/2DUnKtxyPaIiDyVo14V+0tu\n8+T4BdFB0ZiYOFF0DCIiSdMF6NBP3c8p23a74pDJZBgV27OHCImIvMX9SfcjWuWcWcXdrjgAIDY4\nFn5yP9ExiIgka2T/kU7btlsWRx91H9ze93bRMYiIJEnho0D/4P5O275bFoe/jz/uT7pfdAwiIkka\n2W8k+gQ5b0ZxtywOgLflEhFdyf1J90Ph2/3HHWzltsXRV90XKWEpomMQEUmKDDIkaBOcOobbFkew\nfzCevPZJ0TGIiCTltr63OfX6BuDGxQGcf7hFBpnoGEREkjEleQoC/WyfPLYn3Lo4+gf3xx197xAd\ng4hIEvx9/JEUkuT0cdy6OAL9AvF48uOiYxARScL4hPGIVcc6fRy3Lg4AGBgyEP4+/qJjEBEJNylp\nEnx97JqC0CZuXxz9g/tjUuIk0TGIiIQK9g/GAO0Al4zl9sXhK/fFhKQJomMQEQk1JXkK+qr7umQs\nty8OAEjQJCCkV4joGEREwtwVe5fLxvKI4ohRx2DW0FmiYxARCTEkdAgSta6bTcMjigMARvQZAbnM\nY/44RESFVaFVAAAXf0lEQVQ2mzVsFnS9dC4bz2N+0w7QDsDYAWNFxyAicimVQoWUcNdOv+QxxRHg\nG8BnOojI60xLnYbYYOc/u3EpjykOABikG4T+6v6iYxARucxdsXdBJnPt1EseVRzhynA8d/1zomMQ\nEbnEHX3vEPKKCY8qDgAYFjmMT5ITkVf4fervofRTunxcjyuOeE08fn/t70XHICJyquigaCSHJgsZ\n2+OKw0fugwlJE3hrLhF5tJdvfhm9g3oLGdsjf7smaZPw8DUPi45BROQUIb1CcEPvG4SN75HF4e/r\nj8cGPyY6BhGRU7x444sum5eqMx5ZHAAwUDcQo+NGi45BRORQKoUKv475tdAMHlscSoUS6fp00TGI\niBzqueHPIV4TLzSDxxYHAFwTcg1ujrpZdAwiIofw9/HHnbF3io7h2cUR7B+M527gA4FE5BmmXzcd\nCZoE0TE8uzgAICUsBTdH86iDiNxbgE8AJiVNgo/cR3QUzy8ObYAWL9z4gugYRER2mf2r2UjSJYmO\nAcALigM4/5KTMQPGiI5BRNQjaoUa98bf6/LJDK/EK4ojSBGEmUNnQgZp7HQiou547ZbXEKeJEx3j\nIruLo7a2FjNmzMDp06e7XK60tBQvvfQSZs6ciTlz5qCsrMzeobvlmpBr8Lshv3PpmERE9opURuL2\nvreLjnEZu4pj7dq1MBgMqK6uvuqy8+fPxwMPPICFCxdi/PjxyMzMtGfobgvwDcDjQx6Hn9zPpeMS\nEdnjjV+/gT7qPqJjXMau4hg7diyWLFkCna7rd91WVVXBYrEgJeX86w31ej2qq6thNpvtGb7bBuoG\nYtawWS4dk4iopwZoBuBX0b8SHaMDl1zjMBqNUKlUl30WHBwMo9HoiuEv8pX7YlLSJAT7B7t0XCKi\nnnjr1rcQqYwUHaMD366+mZGRgZKSkg6fh4SEYO7cud0aSC7v2FGtra3d2oYjDNAOwFu3voWnNj3l\n8rGJiGw1dsBYDI0cKjpGp7osjmeeecYhg2i12g6npcxm81VPcTnLbX1vw3Xh12Fv5V4h4xMRdUXh\no8Bzw5+D2l8tOkqnHHaqymq1Xva1yWS6WBbh4eFQKpXIy8sDAOTk5ECtViM0NNRRw3dLeGA43rz1\nTSFjExFdzcs3vYxrQq8RHeOK7CqODRs2YPbs2TCbzcjIyEBWVtbF761YsQKfffbZxa8NBgPWrFmD\nmTNn4uuvv4bBYLBnaLulhKXwFbNEJDl9VH0wJn6MpN9iKrP+8lBBIrZu3Qq9Xu/UMYpMRRi5aiTq\nmuucOg4Rka2+uO8LpPVLc/o4ubm5SEvr2TjSrTQXSNAm4K1b3xIdg4gIADA6fjSGRw4XHeOqvLo4\nAOCOvndgWMQw0TGIyMsF+ATgj9f/UbIXxC/l9cURrgzH327/G58oJyKh/nbb3zA4dLDoGDbx+uIA\ngOTQZPzl138RHYOIvNSImBEYFTtKMrPfXg2LA4CP3Of8wzYR0nzYhog8V4BPAP7y678gNFDM4wk9\nweL4jwhlBObfPp+nrIjIpdzpFNUFLI5LJIcm4/Vfvy46BhF5iVv73OpWp6guYHFcwkfugzEDxvAu\nKyJyugCfAPz5lj+71SmqC1gcvxChjMDfbv8bAnwCREchIg/29h1vu90pqgtYHJ1ICUvBOyPfER2D\niDzUA0kPuOUpqgtYHJ2QyWS4q/9deGzwY6KjEJGHiQ6KxvM3PA9tgFZ0lB5jcVyB2l+NWcNmITY4\nVnQUIvIQPjIf/OPufyBW496/V1gcXegX3A/vj3qft+gSkUO8detb0Ec4d/JWV2BxXEVqeCrevv1t\n0TGIyM2NjhuN+xLug6+8y/fnuQUWx1X4yH1wT9w9mJgwUXQUInJT4YHhePnmlxHSK0R0FIdgcdhA\n20uLF258AXHBcaKjEJGb8ZX74sO7P8QA7QDRURyGxWGjWE0sPrjnAwT5BYmOQkRuJGtkFob3lv47\nNrqDxdENKWEpWHbPMsjgnvdeE5FrzRo2C3fH3Q0fuY/oKA7F4uimX0f/mm8NJKKrSuuXhievfRJB\nCs87S8Hi6CaFrwITkybi8cGPi45CRBLVT90P826dhwhlhOgoTsHi6AFtgBbPXf8cJ0Mkog6Ufkp8\ndM9Hbv+QX1dYHD0UrYpG5p2ZCOsVJjoKEUmEDDIsu3sZUsJTREdxKhaHHRJ1iVg5diVUCpXoKEQk\nAZl3ZmJEzAjRMZyOxWGn6yKuw2ejP4PCRyE6ChEJ9MrNr2Bs/FgofD3/dwGLwwFujL4RH979IW/T\nJfJS01Kn4bHBj0GpUIqO4hIsDgeQy+RI65eGrDuzREchIhe7P+l+zBw2E5oAjegoLsPicBA/Hz+M\niR+D1255TXQUInKRETEj8PJNLyMs0LtukmFxOJBSocQjgx/B09c9LToKETnZ4JDByEjLQLQqWnQU\nl2NxOJjGX4MZ+hl8QJDIgw3QDMCye5ahf3B/0VGEYHE4QZgyDH/61Z/w8DUPi45CRA4WGxyLT0d/\n6lGz3XYXi8NJIpQReOnGlzB54GTRUYjIQfqq+2LFmBVI0CWIjiIUi8OJIpQRmHvTXJYHkQfop+6H\nVWNXIVGXKDqKcCwOJ4sMisQrN7/C01ZEbiwuOA6rxq5Cki5JdBRJYHG4wIXTVrxgTuR+EjQJWDF2\nBY80LmH3W9Nra2vx4osv4vnnn0dMTMwVl8vKykJ+fj6Uyv8+WWkwGLpcx5NEKCPwwq9egEqhQube\nTNFxiMgGqeGpeH/U+159IbwzdhXH2rVrsW7dOtTX1191WZlMhokTJ2LUqFH2DOnWwpRhePb6Z8+/\nuH73y6LjEFEX7ux3J/52+9/QV91XdBTJsetU1dixY7FkyRLodDqblrdarfYM5xE0/hpMGTIF7935\nHue2IpKoh695GBlpGSyNK7D7VFV3ZGdnY/369dBqtZg0aRKSk5NdObxkKBVKTEycCI2/Br9d/1s0\ntzWLjkRE/zFr2Cykp6YjNDBUdBTJ6rI4MjIyUFJS0uHzkJAQzJ07t1sDTZ06FQrF+emGCwoKsGDB\nAmRlZSEwMLBb2/EUfj5+uCv2LmSPy8aDax9EfcvVT/cRkXO9OeJNPDjwQQQHBIuOImldFsczzzzj\nsIEulAYAJCcnQ6PRoLKyEv3793fYGO5GLpPjpuibsHbCWkxeOxlVlirRkYi8klwmx6K7FuHeuHsR\n6Oedf5ntDofdjvvL6xcmkwlms/ni17m5uWhvbwcAFBYWwmKxICoqylHDu7XUiFSsm7gOQyOGio5C\n5HXUCjW+HPclxg0Yx9KwkV3XODZs2IAdO3bAbDYjIyMDcXFxmD59OgBgxYoVAIBp06YBALZv346l\nS5dCoVBApVLBYDBcdhTi7RJ1iVh2zzIs+GkBPjrwkeg4RF4hSZeEpb9ZisGhg0VHcSsyq0Rvddq6\ndSv0er3oGC5najJhzeE1eH7H87BCkv9piDzCuAHjMPfmuegX3E90FCFyc3ORlpbWo3X55LjEaAO0\neGzwY/j8vs8R5BckOg6RR5pz4xzMu22e15aGvVgcEqTwVSCtXxr+OemfiA2OFR2HyGP4+/jjk3s/\nwe9Tf8/bbe3A4pCwlLAUrL5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795 "prompt_number": 29,
796 "text": [
797 "<g Circle with r=2 at (1, 0)>"
798 ]
799 }
800 ],
801 "prompt_number": 29
802 },
803 {
804 "cell_type": "code",
805 "collapsed": false,
806 "input": [
807 "display_png(c2)"
808 ],
809 "language": "python",
810 "metadata": {},
811 "outputs": [
812 {
813 "metadata": {},
814 "output_type": "display_data",
815 "png": 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KfPzvhv8VHYOI3Mzi/MX4Z8k/0dbeJjqKw7A4bHCy9iSe3PCkx99iR0TO8ey3z2Jvpedc\nLGdxXEVdcx0yczNRZOYb/IioZ1raW/DkxidxvOa46CgOweK4im9PfIul+5aKjkFEbu54zXG8/fPb\nqDnn/tc7WBxd2F+1H9M3Txcdg4g8xPLC5dh0fJPbPxzI4riC0rpSzNg8A42tjaKjEJEH+cOWPyC/\nKl90DLuwODrR0NyAJflLsK96n+goRORhzrWdQ/qmdJyqPSU6So+xODrxQ9kPeCf3HdExiMhDHTYe\nxt/z/47GFvc8o8Hi+IViUzHSN6eLjkFEHu69ve8h50yO6Bg9wuK4RH1zPd7d865XzKdPROKlb0p3\ny1t0WRyX+KH0B3xS+InoGETkJcobyrEkf4nbnbJicfzHUdNRTNsyTXQMIvIyi/IWud0pKxYHzj8d\n/s6ed3iKioiEcLdTViwO8BQVEYnlbqesvL44SswlmL6FT4cTkViL8hYhtyJXdAybOKQ4amtrMWPG\nDJw+ffqKy5SWluKll17CzJkzMWfOHJSVlTliaLs0tzbjs8LPeIqKiCTB8K0BZfXifzdejd3FsXbt\nWhgMBlRXV3e53Pz58/HAAw9g4cKFGD9+PDIzM+0d2m4F1QXI2JMhOgYREQCgyFyEjcc2Sn4uK7uL\nY+zYsViyZAl0Ot0Vl6mqqoLFYkFKSgoAQK/Xo7q6Gmaz2d7he+ys5Szm7p6Ldmu7sAxERL8057s5\nOGQ8JDpGl1xyjcNoNEKlUl32WXBwMIxGoyuG79Tu0t3YXbpb2PhERJ1pbG1EVm4WGpobREe5Ipdd\nHJfLOw7V2trqquEvU2IugWGbQcjYRERX89nBzyT9xkCXFIdWq+1wWspsNnd5estZWtpasPLgSl4Q\nJyJJM2wzoLy+XHSMTjm0OC69oGMymS6WRXh4OJRKJfLy8gAAOTk5UKvVCA0NdeTwNimoLsDbOW+7\nfFwiou4oMhVhy/EtomN0ytfeDWzYsAE7duyA2WxGRkYG4uLiMH36dKxYsQIAMG3a+Wk8DAYDFi9e\njGXLlkGtVsNgcP2porrmOmTkZPCCOBG5hTm75uCm6JsQr40XHeUyMqtE7/vaunUr9Hq9Q7f5Q+kP\nuHfNvQ7dJhGRM829aS5mDJ0BucyxVxZyc3ORlpbWo3W95slxU5MJf/nhL6JjEBF1y1s/voXDZw+L\njnEZrymOvRV78UPZD6JjEBF1S1NbE1YeWomWthbRUS7yiuKoaKjAS9+9JDoGEVGPvLf3PRw8e1B0\njIu8ojh+LP9R8k9iEhFdSZu1De/nvw9Li0V0FABeUByn607jhZ0viI5BRGSXzw5+hgNnD4iOAcAL\niuPfZf92i9kmiYiu5t0970piKhKPLo7y+nK8uvtV0TGIiBxi3dF1OGwUf4eVRxfH3oq9KK0vFR2D\niMhhPj7wMc61nhOawWOLo7qxms9tEJHHWV64HEdMR4Rm8Nji2Fe1j3dSEZHHabe2Y82RNWhtFzO7\nOOChxWFuMmPeT/NExyAicorFeYtRZCoSNr5HFkfh2UL8VP6T6BhERE7R3NaMDSUbhL1i1uOKo6G5\nAVm5WaJjEBE51ds5b+Oo+aiQsT2uOIpMRVh/bL3oGERETtXQ0oCcMzlCxva44th8fLPoCERELrHg\npwWoaqxy+bgeVRzHa44jc2+m6BhERC5xtOYoDp11/d2jHlUc+yr3oa65TnQMIiKXWV643OUPBHpM\ncZiaTMjYkyE6BhGRS2UfyUaxudilY3pMcRw2HkZeZZ7oGERELtVmbcOu07tcOqZHFEdreyuyj2SL\njkFEJMT/5fwfTteddtl4HlEcx8zH8PGBj0XHICISorKx0qUXyT2iOArPFqK5rVl0DCIiYVYeWonm\nVtf8HnT74mhsacQH+z8QHYOISKh1xetwrPaYS8Zy++I4aj7q8gtDRERS09Le4rLTVW5fHHkVebBC\nzERfRERSsnTfUtQ31zt9HLcuDqPFiPf2vic6BhGRJOwu3Y1jNc4/XeXWxVFiLsFhk/j37xIRScXe\nir1OH8Oti2NXKa9tEBFd6r2978FoMTp1DLctjoqGCizJXyI6BhGRpBwxHUFJTYlTx3Db4jhZexLl\nDeWiYxARSc6B6gNO3b7bFse+qn2iIxARSdLHBR+j7pzzZgp3y+KoPVfLKUaIiK5gb+VenKo75bTt\nu2VxnKw9if1V+0XHICKSrCJTkdO27ZbF4cwdQkTkCdYcWeO0uavcrjia25rxxeEvRMcgIpK0zcc3\nO+10la8jNlJaWopFixahrq4OarUa6enpiIqK6rBcVlYW8vPzoVQqL35mMBgQExNj81inak/h25Pf\nOiI2EZHHOtd2DidqTyBeG+/wbTukOObPn48pU6YgJSUFubm5yMzMxBtvvNFhOZlMhokTJ2LUqFE9\nHut47XFOoU5EZIOdp3fijn53OHy7dp+qqqqqgsViQUpKCgBAr9ejuroaZrO50+WtVvsmJHTF4/RE\nRJ7g66KvcdZy1uHbtfuIw2g0QqVSXfZZcHAwjEYjNBpNh+Wzs7Oxfv16aLVaTJo0CcnJyTaPVXOu\nBl8e+dLeyEREXuFE7QmU15cjpFeIQ7frkFNVcnnHA5fW1tYOn02dOhUKhQIAUFBQgAULFiArKwuB\ngYE2jVNeX46DxoP2hSUi8iKn604jOcz2v6Dbwu5TVVqttsNpKbPZDJ1O12HZC6UBAMnJydBoNKis\nrLR5LFe+jJ2IyBN8X/q9w7dpd3GEh4dDqVQiLy8PAJCTkwO1Wo3Q0FCYTKbLSiU3Nxft7e0AgMLC\nQlgslk7vvrqS3Ipce+MSEXmVr4u/xtlGx17ncMipKoPBgMWLF2PZsmVQq9UwGAwAgBUrVgAApk2b\nBgDYvn07li5dCoVCAZVKBYPBcNlRSFdqmmrwZRGvbxARdcepulMoayhDSKDjrnPIrPbe5uQkW7du\nhV6vv/j1wbMHcfOnNwtMRETknj4d/Snujrv7ss9yc3ORlpbWo+25zZPjpXWloiMQEbmlH0p/cOj2\n3KY4SszOfTEJEZGn2npiK+qaHTfNulsUR2tbKzaf2Cw6BhGRWzpiOoKqxiqHbc8tiqOysRI5Z3JE\nxyAicktt1jZUNFY4bHtuURxVlirUnKsRHYOIyG1VNtj+zNzVuEVxVDY67g9MROSNfj7zs8O25RbF\nccx8THQEIiK3tu3kNoddIJd8cbS2tWLLiS2iYxARubUjRsddIJd8cVRZqnhhnIjITm3WNoed9pd8\ncZiaTDCf6/zdHkREZDtHvZtD8sVhbDKKjkBE5BFK6x0zA4fki8PUZBIdgYjII+SUO+a0v+SLg+/g\nICJyjP3V+x3yTJzki4MXxomIHONYzTHUNHl4cZibzNhftV90DCIij9Dc1gzTOftP/0u6OGrO1eBE\n7QnRMYiIPIYjrhtLujjM58xoaW8RHYOIyGN4fHFwYkMiIsc6WXfS7m1Iujgc+eIRIiICjpqO2r0N\nSRdHfUu96AhERB7lqPkoWtta7dqGpIujrK5MdAQiIo9S3lCO2uZau7Yh6eI4arb/kIqIiP6roqEC\nja2Ndm1D0sVRbCoWHYGIyKNYWi1obPHg4jjTeEZ0BCIij2Pv9WNJF0dFg+Nerk5EROc1NDfYtb6k\ni+Nc2znREYiIPE5DiwcXBxEROZ69fylncRAReZnmtma71mdxEBF5maa2JrvWZ3EQEXkZc5PZrvVZ\nHEREXsbYZLRrfRYHEZGXsXdqdRYHEZGXOWs5a9f6LA4iIi9ztsm+4vB1RIjS0lIsWrQIdXV1UKvV\nSE9PR1RUVI+XIyIi5znXKoHnOObPn48HHngACxcuxPjx45GZmWnXckRE5Dzt1na71re7OKqqqmCx\nWJCSkgIA0Ov1qK6uhtls7tFyRETkXG3WNrvWt7s4jEYjVCrVZZ8FBwfDaDT2aDkiInIu4UccACCX\nd9xMa2vHVxPauhwRETmPFVa71re7OLRabYfTTWazGTqdrkfLERGRc8ll9v3qt7s4wsPDoVQqkZeX\nBwDIycmBWq1GaGgoTCbTxbLoajkiInIde4vDIbfjGgwGLF68GMuWLYNarYbBYAAArFixAgAwbdq0\nLpcjIiLXkdt5zCCzWq32nexykq1bt2LkrpGiYxAReRx9hB7zEuYhLS2tR+vzyXEiIi+j9FPatT6L\ng4jIy4QEhNi1PouDiMjLhPRicRARUTfoAux7DILFQUTkZYIDgu1an8VBRORlgv1ZHERE1A0BPgF2\nrc/iICLyMn4+fnatz+IgIvIyHn3EoVKorr4QERF1S5AiyK71JV0cEYERoiMQEXkcj35yPCqI7yMn\nInI0jz7iSNQmio5ARORR1Ao1evn2smsbki6OOE2c6AhERB6ld1Bvzz5VFRYYJjoCEZFHiQqKglqh\ntmsbki4Oe8/DERHR5RK0CZDJZHZtQ9rF4cfiICJypHhNvN3bkHRxaAO0oiMQEXmUSGWk3duQdHEE\n+wfbfRGHiIj+y94p1QGJF4c2QMs7q4iIHMgRZ3IkXRyBfoHQh+tFxyAi8ggqhcruKdUBiRcHAKRG\npIqOQETkEeI18Z5/xAEA4YHhoiMQEXkEfYQegX6Bdm9H8sXhiAs5REQEpIY75gwOi4OIyEs4ajYO\nyReHNkCL6KBo0TGIiNye1xRHaGAoboq+SXQMIiK3FugbiLBeXlIcAHBrn1tFRyAicmspYSnec8QB\ngKeqiIjsNLL/SAT42veu8QvcojgilHyFLBGRPQaFDHLYttyiOEJ7hfKog4jIDo78C7h7FAcvkBMR\n9ZgjL4wDblIcAC+QExH1lCMvjANuVBx9VH1ERyAickuj4kY57MI4APjas3JpaSkWLVqEuro6qNVq\npKenIyoqqtNls7KykJ+fD6Xyv+/XMBgMiImJsWmsaFU0/OR+aGlvsScyEZHXGRI6xKHbs6s45s+f\njylTpiAlJQW5ubnIzMzEG2+80emyMpkMEydOxKhRo3o0VlRQFIZHDsf3Zd/bE5mIyKvIZXLEqGz7\nC7rN2+zpilVVVbBYLEhJSQEA6PV6VFdXw2w2X3Edq9Xa0+EQ4BuAcYnjerw+EZE3Sg5NRlRQ52eC\neqrHRxxGoxEqleqyz4KDg2E0GqHRaDpdJzs7G+vXr4dWq8WkSZOQnJzcrTEH6gb2NC4RkVeamDgR\nQYogh26zy+LIyMhASUlJh89DQkLw0EMPQS7veMDS2tra6bamTp0KhUIBACgoKMCCBQuQlZWFwEDb\n54aPCoqCwkeB5rZmm9chIvJmyWHd+wu6LbosjmeeeeaK36usrOxwWspsNkOn63wa9AulAQDJycnQ\naDSorKxE//79bQ4bFRSF6yOvx67SXTavQ0TkreQyOWKCHHt9A7DjGkd4eDiUSiXy8vIAADk5OVCr\n1QgNDQUAmEymy4olNzcX7e3tAIDCwkJYLJYr3oF1JQG+ARifOL6nkYmIvMq1Ydc6/PoGYOddVQaD\nAYsXL8ayZcugVqthMBgufm/FihUAgGnTpgEAtm/fjqVLl0KhUEClUsFgMFx2FGKrRF2iPZGJiLzG\nxKSJUCqUV1+wm+wqjujoaPz5z3/u9HsXCuOCZ5991p6hLuqn7odg/2DUnKtxyPaIiDyVo14V+0tu\n8+T4BdFB0ZiYOFF0DCIiSdMF6NBP3c8p23a74pDJZBgV27OHCImIvMX9SfcjWuWcWcXdrjgAIDY4\nFn5yP9ExiIgka2T/kU7btlsWRx91H9ze93bRMYiIJEnho0D/4P5O275bFoe/jz/uT7pfdAwiIkka\n2W8k+gQ5b0ZxtywOgLflEhFdyf1J90Ph2/3HHWzltsXRV90XKWEpomMQEUmKDDIkaBOcOobbFkew\nfzCevPZJ0TGIiCTltr63OfX6BuDGxQGcf7hFBpnoGEREkjEleQoC/WyfPLYn3Lo4+gf3xx197xAd\ng4hIEvx9/JEUkuT0cdy6OAL9AvF48uOiYxARScL4hPGIVcc6fRy3Lg4AGBgyEP4+/qJjEBEJNylp\nEnx97JqC0CZuXxz9g/tjUuIk0TGIiIQK9g/GAO0Al4zl9sXhK/fFhKQJomMQEQk1JXkK+qr7umQs\nty8OAEjQJCCkV4joGEREwtwVe5fLxvKI4ohRx2DW0FmiYxARCTEkdAgSta6bTcMjigMARvQZAbnM\nY/44RESFVaFVAAAXf0lEQVQ2mzVsFnS9dC4bz2N+0w7QDsDYAWNFxyAicimVQoWUcNdOv+QxxRHg\nG8BnOojI60xLnYbYYOc/u3EpjykOABikG4T+6v6iYxARucxdsXdBJnPt1EseVRzhynA8d/1zomMQ\nEbnEHX3vEPKKCY8qDgAYFjmMT5ITkVf4fervofRTunxcjyuOeE08fn/t70XHICJyquigaCSHJgsZ\n2+OKw0fugwlJE3hrLhF5tJdvfhm9g3oLGdsjf7smaZPw8DUPi45BROQUIb1CcEPvG4SN75HF4e/r\nj8cGPyY6BhGRU7x444sum5eqMx5ZHAAwUDcQo+NGi45BRORQKoUKv475tdAMHlscSoUS6fp00TGI\niBzqueHPIV4TLzSDxxYHAFwTcg1ujrpZdAwiIofw9/HHnbF3io7h2cUR7B+M527gA4FE5BmmXzcd\nCZoE0TE8uzgAICUsBTdH86iDiNxbgE8AJiVNgo/cR3QUzy8ObYAWL9z4gugYRER2mf2r2UjSJYmO\nAcALigM4/5KTMQPGiI5BRNQjaoUa98bf6/LJDK/EK4ojSBGEmUNnQgZp7HQiou547ZbXEKeJEx3j\nIruLo7a2FjNmzMDp06e7XK60tBQvvfQSZs6ciTlz5qCsrMzeobvlmpBr8Lshv3PpmERE9opURuL2\nvreLjnEZu4pj7dq1MBgMqK6uvuqy8+fPxwMPPICFCxdi/PjxyMzMtGfobgvwDcDjQx6Hn9zPpeMS\nEdnjjV+/gT7qPqJjXMau4hg7diyWLFkCna7rd91WVVXBYrEgJeX86w31ej2qq6thNpvtGb7bBuoG\nYtawWS4dk4iopwZoBuBX0b8SHaMDl1zjMBqNUKlUl30WHBwMo9HoiuEv8pX7YlLSJAT7B7t0XCKi\nnnjr1rcQqYwUHaMD366+mZGRgZKSkg6fh4SEYO7cud0aSC7v2FGtra3d2oYjDNAOwFu3voWnNj3l\n8rGJiGw1dsBYDI0cKjpGp7osjmeeecYhg2i12g6npcxm81VPcTnLbX1vw3Xh12Fv5V4h4xMRdUXh\no8Bzw5+D2l8tOkqnHHaqymq1Xva1yWS6WBbh4eFQKpXIy8sDAOTk5ECtViM0NNRRw3dLeGA43rz1\nTSFjExFdzcs3vYxrQq8RHeOK7CqODRs2YPbs2TCbzcjIyEBWVtbF761YsQKfffbZxa8NBgPWrFmD\nmTNn4uuvv4bBYLBnaLulhKXwFbNEJDl9VH0wJn6MpN9iKrP+8lBBIrZu3Qq9Xu/UMYpMRRi5aiTq\nmuucOg4Rka2+uO8LpPVLc/o4ubm5SEvr2TjSrTQXSNAm4K1b3xIdg4gIADA6fjSGRw4XHeOqvLo4\nAOCOvndgWMQw0TGIyMsF+ATgj9f/UbIXxC/l9cURrgzH327/G58oJyKh/nbb3zA4dLDoGDbx+uIA\ngOTQZPzl138RHYOIvNSImBEYFTtKMrPfXg2LA4CP3Of8wzYR0nzYhog8V4BPAP7y678gNFDM4wk9\nweL4jwhlBObfPp+nrIjIpdzpFNUFLI5LJIcm4/Vfvy46BhF5iVv73OpWp6guYHFcwkfugzEDxvAu\nKyJyugCfAPz5lj+71SmqC1gcvxChjMDfbv8bAnwCREchIg/29h1vu90pqgtYHJ1ICUvBOyPfER2D\niDzUA0kPuOUpqgtYHJ2QyWS4q/9deGzwY6KjEJGHiQ6KxvM3PA9tgFZ0lB5jcVyB2l+NWcNmITY4\nVnQUIvIQPjIf/OPufyBW496/V1gcXegX3A/vj3qft+gSkUO8detb0Ec4d/JWV2BxXEVqeCrevv1t\n0TGIyM2NjhuN+xLug6+8y/fnuQUWx1X4yH1wT9w9mJgwUXQUInJT4YHhePnmlxHSK0R0FIdgcdhA\n20uLF258AXHBcaKjEJGb8ZX74sO7P8QA7QDRURyGxWGjWE0sPrjnAwT5BYmOQkRuJGtkFob3lv47\nNrqDxdENKWEpWHbPMsjgnvdeE5FrzRo2C3fH3Q0fuY/oKA7F4uimX0f/mm8NJKKrSuuXhievfRJB\nCs87S8Hi6CaFrwITkybi8cGPi45CRBLVT90P826dhwhlhOgoTsHi6AFtgBbPXf8cJ0Mkog6Ufkp8\ndM9Hbv+QX1dYHD0UrYpG5p2ZCOsVJjoKEUmEDDIsu3sZUsJTREdxKhaHHRJ1iVg5diVUCpXoKEQk\nAZl3ZmJEzAjRMZyOxWGn6yKuw2ejP4PCRyE6ChEJ9MrNr2Bs/FgofD3/dwGLwwFujL4RH979IW/T\nJfJS01Kn4bHBj0GpUIqO4hIsDgeQy+RI65eGrDuzREchIhe7P+l+zBw2E5oAjegoLsPicBA/Hz+M\niR+D1255TXQUInKRETEj8PJNLyMs0LtukmFxOJBSocQjgx/B09c9LToKETnZ4JDByEjLQLQqWnQU\nl2NxOJjGX4MZ+hl8QJDIgw3QDMCye5ahf3B/0VGEYHE4QZgyDH/61Z/w8DUPi45CRA4WGxyLT0d/\n6lGz3XYXi8NJIpQReOnGlzB54GTRUYjIQfqq+2LFmBVI0CWIjiIUi8OJIpQRmHvTXJYHkQfop+6H\nVWNXIVGXKDqKcCwOJ4sMisQrN7/C01ZEbiwuOA6rxq5Cki5JdBRJYHG4wIXTVrxgTuR+EjQJWDF2\nBY80LmH3W9Nra2vx4osv4vnnn0dMTMwVl8vKykJ+fj6Uyv8+WWkwGLpcx5NEKCPwwq9egEqhQube\nTNFxiMgGqeGpeH/U+159IbwzdhXH2rVrsW7dOtTX1191WZlMhokTJ2LUqFH2DOnWwpRhePb6Z8+/\nuH73y6LjEFEX7ux3J/52+9/QV91XdBTJsetU1dixY7FkyRLodDqblrdarfYM5xE0/hpMGTIF7935\nHue2IpKoh695GBlpGSyNK7D7VFV3ZGdnY/369dBqtZg0aRKSk5NdObxkKBVKTEycCI2/Br9d/1s0\ntzWLjkRE/zFr2Cykp6YjNDBUdBTJ6rI4MjIyUFJS0uHzkJAQzJ07t1sDTZ06FQrF+emGCwoKsGDB\nAmRlZSEwMLBb2/EUfj5+uCv2LmSPy8aDax9EfcvVT/cRkXO9OeJNPDjwQQQHBIuOImldFsczzzzj\nsIEulAYAJCcnQ6PRoLKyEv3793fYGO5GLpPjpuibsHbCWkxeOxlVlirRkYi8klwmx6K7FuHeuHsR\n6Oedf5ntDofdjvvL6xcmkwlms/ni17m5uWhvbwcAFBYWwmKxICoqylHDu7XUiFSsm7gOQyOGio5C\n5HXUCjW+HPclxg0Yx9KwkV3XODZs2IAdO3bAbDYjIyMDcXFxmD59OgBgxYoVAIBp06YBALZv346l\nS5dCoVBApVLBYDBcdhTi7RJ1iVh2zzIs+GkBPjrwkeg4RF4hSZeEpb9ZisGhg0VHcSsyq0Rvddq6\ndSv0er3oGC5najJhzeE1eH7H87BCkv9piDzCuAHjMPfmuegX3E90FCFyc3ORlpbWo3X55LjEaAO0\neGzwY/j8vs8R5BckOg6RR5pz4xzMu22e15aGvVgcEqTwVSCtXxr+OemfiA2OFR2HyGP4+/jjk3s/\nwe9Tf8/bbe3A4pCwlLAUrL5vNSYkTBAdhcjtxQbH4ptJ3+CeuHt4EdxOLA6Ji9XEYt7t8/Bu2rvw\nk/uJjkPklh4f/Diyx2VDH6GHTMYZG+zl0ifHqWd0ATo8OOhBDAwZiCc2PoHjNcdFRyJyCwE+AXh3\n5Lu4s/+dUPurRcfxGDzicBM+ch8MjRyK7HHZeHTwo6LjEEneQN1ArL9/PSYkTmBpOBiLw830D+6P\n1255De+Peh/+Pv6i4xBJ0lPXPoVVY1fh2vBreWrKCXiqyg0F+wdjYuJEJGgT8Ny257CnYo/oSESS\noPHX4L0738MtMbcgSMHb2Z2FRxxuSiaT4drwa/HJvZ/grVvf4oVz8noPDnwQGx/YiN/E/Yal4WQs\nDjcXGRSJ3w35HTbevxH6CO970p5I46/B8tHL8ddb/4oEbYLoOF6BxeEBfOQ+SI1IxfJ7l/Pog7zK\n5IGTsfH+jbgn7h5eAHchFocH4dEHeQuNvwafjv4Ub936FhJ0PMpwNRaHh7lw9PHp6E+RdWcWVAqV\n6EhEDiODDDP0M7DpgU24O+5uHmUIwruqPFSEMgIPDXoIQyOGYtn+Zfh7/t9FRyKyy/DI4Xh9xOtI\nDk1GgG+A6DhejUccHi5Rl4iXb34Z6yetR2pYqug4RN2mDdDiH7/5Bz4d/SmGRQ5jaUgAi8ML9PLt\nhRuibsDKsSux+K7FUCt4eE/SJ5fJMXPoTGx6YBPGJ47nbLYSwlNVXiRcGY4HBj6A68KvwxeHv0DG\nngy0treKjkXUwV3978L/u/7/ITk0Gf6+nCFBanjE4YUSdAn44w1/xLeTv8XvhvwOMnBKBpKG4ZHD\nsXbCWrw/6n0MjRzK0pAoFoeX8pX7IjksGX/59V+w+YHNGBM/RnQk8mIDNAPw+djP8dmYz3BLzC28\nW0riWBxeLsA3APpIPTLvzMQ3E7/BjVE3io5EXiQiMAL/+M0/sHbiWozsPxIhvUJERyIb8BoHAQBU\nChVujL4Ry0cvR35lPub/NB/fl30vOhZ5qN7K3phz0xzcFH0T+qr7io5D3cTioMtoA7S4re9tSA1P\nxcGzB5G1Nwv/KvmX6FjkIQZoBmDOTXOgj9AjWhUtOg71EIuDOqUJ0ODG6BuREpaCg8aD+LjgY3x2\n8DO0W9tFRyM3dF34dZj9q9lICUtBuDJcdByyE4uDuqRUKDEschiGhA7B1JSpWH14NZbsW4JzbedE\nRyM3kNY3DX8Y9gcMDhkMXS+d6DjkICwOsom/rz9SwlNwTeg1eGTwI8g5k4N5P83DydqToqORxAT5\nBeGp1Kfwm7jfIFGbyHdjeCAWB3WLr9wXibpEJOoSkdYvDYeMh7Bs3zKsO7oOVlhFxyOBrgm5Bobh\nBlwbfi1ig2P5ylYPxuKgHotQRiBCGYHre18Pg8mAHSd3IGNPBoxNRtHRyEX85H54aNBDmDxwMpJ0\nSTwd5SVYHGS3Xr69MCRsCIaEDcF9CfehyFSE1YdXI7soG81tzaLjkRPc0PsGPHHtExgcOhjxwfHw\n9eGvEm/C/9rkUH3UfdBH3QcjYkZg1vBZOHz2MD7Y/wF2nNrBU1luLj44HtP00zA0YijiNHG8duHF\nWBzkFL4+vkjQJiBBm4A7+t2BYzXHkF+Zj8V5i1FQXSA6HtkorFcYpl47Fbf2uRXxwfEICeST3cTi\nIBcI9AvE4NDBGBw6GPfE3YOTdSdxxHgEqw6uwo7TOzhDr8QM1A3Eb5N/i2vDr0VfdV/0DuotOhJJ\nDIuDXEoToIEmQIOUsBSMjh+NU7WncKzmGNaXrMeXRV+itrlWdESv4yv3xa0xt2LyoMlI1CWir6ov\nNAEa0bFIwlgcJEyAbwASdAlI0CVgZP+ReHb4szhZexKHjIfw5ZEv8fOZn9HS3iI6pkdK0CZgXMI4\nDIschv7q/uij7sM365HNWBwOcPjwYSQlJYmOYROpZpXL5BcvrN8cczP+Z9D/oLyhHMVVxTjeeBxf\nFX2FnDM5PK3VQ/GaeIxPGI9hkcMQo4qBT6MPkvpK7+egM1L9me2MO2W1h13FsXDhQhQXF8PX1xdq\ntRpPPPEEYmJiOl22tLQUixYtQl1dHdRqNdLT0xEVFWXP8JJx5MgRt/lhcZesvfx6IU4ThwPfHcCT\nY57EI9c8gvKGcpTWleJk7UlsO7kN/y77N8obykVHlRyVQgV9hB4j+41EgjYBMaoYRCojL3vGYt26\ndW5THO7yMwu4V1Z72FUcN998M2bMmAG5XI5t27bh/fffx2uvvdbpsvPnz8eUKVOQkpKC3NxcZGZm\n4o033rBnePIigX6BiNfEI14TDwB4+JqHUdVYhbOWszjTeAaldaXYfmo7/l32b5TVlwlO6zqXlkS8\nNh6RykiE9gpFeGA4FD4K0fHIQ9lVHMOGDbv477GxscjOzu50uaqqKlgsFqSkpAAA9Ho9Fi9eDLPZ\nDI2GF+Go+2QyGcKV4QhXhmMQBgE4XybVlmoYm4wwWUwwnjOioqECuWdykVeVhxJzCSytFsHJu89H\n5oO+6r4YHDIYw3sPR191X+h66aD110IboEVYYBhLglzKYdc4tmzZAr1e3+n3jEYjVCrVZZ8FBwfD\naDSyOMhhZDIZwgLDEBYYdtnnU4ZMQUNzA0znTDA3mWE+Z0Zdcx0aWhpwpv4MSmpKUGQqQnl9Oc40\nnEFja6PLMvvKfRERGIFIZSRiNbFI0Jw/taRSqBCkCEKwfzC0AVqoFWpoA7Sc/4kkocviyMjIQElJ\nSYfPQ0JCMHfu3Itfb9q0CUVFRXj11VevuC25vONbaltbeaGTXEOpUEKpUCJG1fk1uLb2NtQ216Kx\npRGWVgssrRa0tLWgub0ZzW3/+eeSfz/Xdg6t7a1oa29DO9rR3t6OpqYmKAOV8JX7Qi6Tw9/HHwof\nxfl/5Ir//vslXwf6BSLQNxAqfxX8ffxdvFeIekZmtVrtmgdi7dq1+PHHHzF79mwEBXU+BUFlZSXm\nzJmDv//97xc/e+KJJ/Dmm28iNDS003V27tyJlhbeiklE5Ax+fn4YMWJEj9bt8amq9vZ2fPDBBxdL\nISDg8nvATSYTZDIZNBoNwsPDoVQqkZeXh9TUVOTk5ECtVl+xNAD0+A9ERETO1eMjjsrKSsyYMQOR\nkZGXnYZ6+umnER8fj/feew8AMG3aNADnb8ddvHgxamtrPe52XCIib2L3qSoiIvIuHa9YExERdYHF\nQURE3SKpuapqa2vx4osv4vnnn7/i1CWA+OlLujN+VlYW8vPzoVQqL35mMBi6/PO5Kp/o/didDCL2\nY2ds+RmVwn4FbMsqlf1q6/RFUti3tmaVwr5dtGgRDh06BJlMBj8/Pzz++ONITk7usFy396tVIr7+\n+mvr1KlTrQ8++KD11KlTXS77zDPPWPPz861Wq9W6Z88e6+zZs10RsUfjZ2VlWTds2OCqaFar1fZ8\novdjdzKI2I+/ZOvPqBT2q61ZpbBfrVar9eeff7a2tbVZrVar9dtvv7XOmTOn0+WksG9tzSqFfbtv\n376LWffs2WOdNWtWp8t1d79K5lTV2LFjsWTJEuh0Xb/svrPpS6qrq2E2m10Rs0fjW114/4Gt+UTv\nx55kcOV+7IwtP6NS2K+A7f8/AeL3K3B++qILd2fGxsbCZDJ1WEYq+9aWrBeI3rdDhgyBXC6H1WpF\nWVkZYmNjOyzTk/0qqVNVthA9fUlPxs/Ozsb69euh1WoxadKkTg8VXZ1P9H7sSQZX7seeksJ+7S6p\n7dcrTV8kxX3b1VRLgDT27aFDh7BgwQJoNBrMnj27w/d7sl9dVhy2Tl9iC2dPX9JV1oceeqhb40+d\nOhUKxfkJ6AoKCrBgwQJkZWUhMDDQYXl/ydZ8UpgGxtYMIvZjT0lhv9pKavv1atMXSWnfXi2rVPbt\nwIEDsWTJEuTl5eHVV1/FwoULOyzT3f3qsuJ45plnHLIdrVbb4RDKbDbbdEhuq66yVlZWdmv8Cz84\nAJCcnAyNRoPKykr079/fIVl/ydb944r9eDXdyeDq/dhTUtiv3SGl/Xph+qLOZqIApLVvr5YVkNa+\nBYDU1FScPXsW9fX1l00P1ZP9KplrHJf65XlBk8l08Q926fQlAGyavsSRrjb+pVkBIDc3F+3t7QCA\nwsJCWCwWp94F0lU+Ke3H7mQFXL8fr+bSn1Gp7ddfulJWQBr7tb29HUuXLkVBQQHmzJlz2S81qe1b\nW7MC4vdtfX09cnJyLv73//777xEaGoqgoCC796tknhzfsGEDduzYgZMnTyIyMhJxcXGYPn06AEhu\n+pKuxv9l1rfffhvFxcVQKBRQqVR47LHHkJCQICSf1PZjd7KK2I+/dKWfUSnuV1uzSmG/Xmn6ounT\np2PTpk2X5RW9b7uTVfS+ra+vR0ZGBsrKyuDv7w+dTocpU6YgJibG7p9ZyRQHERG5B0meqiIiIuli\ncRARUbewOIiIqFtYHERE1C0sDiIi6hYWBxERdQuLg4iIuoXFQURE3fL/AR8SQcFGS9m7AAAAAElF\nTkSuQmCC\n"
816 }
817 ],
818 "prompt_number": 30
819 },
820 {
821 "cell_type": "heading",
822 "level": 2,
823 "metadata": {},
824 "source": [
825 "return the object"
826 ]
827 },
828 {
829 "cell_type": "code",
830 "collapsed": false,
831 "input": [
832 "# for demonstration purpose, I do the same with a circle that has no _repr_javascript method\n",
833 "class MyNoJSCircle(MyCircle):\n",
834 " \n",
835 " def _repr_javascript_(self):\n",
836 " return\n",
837 "\n",
838 "cNoJS = MyNoJSCircle()"
839 ],
840 "language": "python",
841 "metadata": {},
842 "outputs": []
843 },
844 {
845 "cell_type": "markdown",
846 "metadata": {},
847 "source": [
848 "Of course you can now still return the object, and this will use compute all the representations, store them in the notebook and show you the appropriate one."
849 ]
850 },
851 {
852 "cell_type": "code",
853 "collapsed": false,
854 "input": [
855 "cNoJS"
856 ],
857 "language": "python",
858 "metadata": {},
859 "outputs": []
860 },
861 {
862 "cell_type": "markdown",
863 "metadata": {},
864 "source": [
865 "Or just use `display(object)` if you are in a middle of a loop"
866 ]
867 },
868 {
869 "cell_type": "code",
870 "collapsed": false,
871 "input": [
872 "for i in range(3):\n",
873 " display(cNoJS)"
874 ],
875 "language": "python",
876 "metadata": {},
877 "outputs": []
878 },
879 {
880 "cell_type": "markdown",
881 "metadata": {},
882 "source": [
883 "Advantage of using `display()` versus `display_*()` is that all representation will be stored in the notebook document and notebook file, they are then availlable for other frontends or post-processing tool like `nbconvert`."
884 ]
885 },
886 {
887 "cell_type": "markdown",
888 "metadata": {},
889 "source": [
890 "Let's compare `display()` vs `display_html()` for our circle in the Notebook Web-app and we'll see later the difference in nbconvert."
891 ]
892 },
893 {
894 "cell_type": "code",
895 "collapsed": false,
896 "input": [
897 "print \"I should see a nice html circle in web-app, but\"\n",
898 "print \"nothing if the format I'm viewing the notebook in\"\n",
899 "print \"does not support html\"\n",
900 "display_html(cNoJS)"
901 ],
902 "language": "python",
903 "metadata": {},
904 "outputs": []
905 },
906 {
907 "cell_type": "code",
908 "collapsed": false,
909 "input": [
910 "print \"Whatever the format I will see a representation\"\n",
911 "print \"of my circle\"\n",
912 "display(cNoJS)"
913 ],
914 "language": "python",
915 "metadata": {},
916 "outputs": []
917 },
918 {
919 "cell_type": "code",
920 "collapsed": false,
921 "input": [
922 "print \"Same if I return the object\"\n",
923 "cNoJS"
924 ],
925 "language": "python",
926 "metadata": {},
927 "outputs": []
928 },
929 {
930 "cell_type": "code",
931 "collapsed": false,
932 "input": [
933 "print \"But not if I print it\"\n",
934 "print cNoJS"
935 ],
936 "language": "python",
937 "metadata": {},
938 "outputs": []
939 }
940 ],
941 "metadata": {}
942 }
943 ]
944 } No newline at end of file
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