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| @@ -12,6 +12,7 b' pretty.' | |||
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12 | 12 | from __future__ import print_function |
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13 | 13 | |
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14 | 14 | import codecs |
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15 | import logging | |
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15 | 16 | import os |
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16 | 17 | import pprint |
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17 | 18 | import re |
| @@ -89,6 +90,7 b' class Converter(object):' | |||
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89 | 90 | with_preamble = True |
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90 | 91 | user_preamble = None |
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91 | 92 | output = str() |
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93 | raw_as_verbatim = False | |
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92 | 94 | |
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93 | 95 | def __init__(self, infile): |
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94 | 96 | self.infile = infile |
| @@ -110,6 +112,7 b' class Converter(object):' | |||
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110 | 112 | lines.extend(self.optional_header()) |
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111 | 113 | for worksheet in self.nb.worksheets: |
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112 | 114 | for cell in worksheet.cells: |
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115 | #print(cell.cell_type) # dbg | |
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113 | 116 | conv_fn = self.dispatch(cell.cell_type) |
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114 | 117 | lines.extend(conv_fn(cell)) |
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115 | 118 | lines.append('') |
| @@ -227,8 +230,8 b' class Converter(object):' | |||
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227 | 230 | Returns list.""" |
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228 | 231 | raise NotImplementedError |
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229 | 232 | |
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230 |
def render_ |
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231 |
"""convert |
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233 | def render_raw(self, cell): | |
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234 | """convert a cell with raw text | |
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232 | 235 | |
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233 | 236 | Returns list.""" |
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234 | 237 | raise NotImplementedError |
| @@ -237,6 +240,18 b' class Converter(object):' | |||
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237 | 240 | """Render cells of unkown type |
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238 | 241 | |
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239 | 242 | Returns list.""" |
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243 | data = pprint.pformat(cell) | |
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244 | logging.warning('Unknown cell:\n%s' % data) | |
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245 | return self._unknown_lines(data) | |
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246 | ||
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247 | def _unknown_lines(self, data): | |
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248 | """Return list of lines for an unknown cell. | |
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249 | ||
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250 | Parameters | |
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251 | ---------- | |
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252 | data : str | |
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253 | The content of the unknown data as a single string. | |
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254 | """ | |
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240 | 255 | raise NotImplementedError |
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241 | 256 | |
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242 | 257 | |
| @@ -268,8 +283,11 b' class ConverterRST(Converter):' | |||
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268 | 283 | return [cell.source] |
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269 | 284 | |
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270 | 285 | @DocInherit |
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271 |
def render_ |
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272 | return [cell.source] | |
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286 | def render_raw(self, cell): | |
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287 | if self.raw_as_verbatim: | |
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288 | return ['::', '', indent(cell.source), ''] | |
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289 | else: | |
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290 | return [cell.source] | |
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273 | 291 | |
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274 | 292 | @DocInherit |
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275 | 293 | def render_pyout(self, output): |
| @@ -285,6 +303,11 b' class ConverterRST(Converter):' | |||
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285 | 303 | return lines |
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286 | 304 | |
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287 | 305 | @DocInherit |
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306 | def render_pyerr(self, output): | |
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307 | # Note: a traceback is a *list* of frames. | |
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308 | return ['::', '', indent(remove_ansi('\n'.join(output.traceback))), ''] | |
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309 | ||
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310 | @DocInherit | |
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288 | 311 | def _img_lines(self, img_file): |
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289 | 312 | return ['.. image:: %s' % img_file, ''] |
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290 | 313 | |
| @@ -298,13 +321,17 b' class ConverterRST(Converter):' | |||
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298 | 321 | return lines |
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299 | 322 | |
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300 | 323 | @DocInherit |
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301 |
def |
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302 |
return rst_directive('.. warning:: Unknown cell') + [ |
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324 | def _unknown_lines(self, data): | |
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325 | return rst_directive('.. warning:: Unknown cell') + [data] | |
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303 | 326 | |
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304 | 327 | |
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305 | 328 | class ConverterQuickHTML(Converter): |
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306 | 329 | extension = 'html' |
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307 | 330 | |
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331 | def in_tag(self, tag, src): | |
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332 | """Return a list of elements bracketed by the given tag""" | |
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333 | return ['<%s>' % tag, src, '</%s>' % tag] | |
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334 | ||
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308 | 335 | def optional_header(self): |
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309 | 336 | # XXX: inject the IPython standard CSS into here |
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310 | 337 | s = """<html> |
| @@ -347,30 +374,33 b' class ConverterQuickHTML(Converter):' | |||
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347 | 374 | |
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348 | 375 | @DocInherit |
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349 | 376 | def render_markdown(self, cell): |
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350 |
return |
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377 | return self.in_tag('pre', cell.source) | |
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351 | 378 | |
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352 | 379 | @DocInherit |
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353 |
def render_ |
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354 | return ["<pre>"+cell.source+"</pre>"] | |
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380 | def render_raw(self, cell): | |
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381 | if self.raw_as_verbatim: | |
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382 | return self.in_tag('pre', cell.source) | |
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383 | else: | |
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384 | return [cell.source] | |
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355 | 385 | |
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356 | 386 | @DocInherit |
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357 | 387 | def render_pyout(self, output): |
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358 |
lines = ['<tr><td><tt>Out[<b>%s</b>]:</tt></td></tr>' % |
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388 | lines = ['<tr><td><tt>Out[<b>%s</b>]:</tt></td></tr>' % | |
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389 | output.prompt_number, '<td>'] | |
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359 | 390 | |
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360 | 391 | # output is a dictionary like object with type as a key |
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361 | if 'latex' in output: | |
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362 | lines.append("<pre>") | |
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363 |
lines.extend(indent(output |
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364 | lines.append("</pre>") | |
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365 | ||
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366 | if 'text' in output: | |
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367 | lines.append("<pre>") | |
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368 | lines.extend(indent(output.text)) | |
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369 | lines.append("</pre>") | |
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392 | for out_type in ('text', 'latex'): | |
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393 | if out_type in output: | |
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394 | lines.extend(self.in_tag('pre', indent(output[out_type]))) | |
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370 | 395 | |
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371 | 396 | return lines |
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372 | 397 | |
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373 | 398 | @DocInherit |
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399 | def render_pyerr(self, output): | |
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400 | # Note: a traceback is a *list* of frames. | |
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401 | return self.in_tag('pre', remove_ansi('\n'.join(output.traceback))) | |
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402 | ||
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403 | @DocInherit | |
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374 | 404 | def _img_lines(self, img_file): |
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375 | 405 | return ['<img src="%s">' % img_file, ''] |
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376 | 406 | |
| @@ -383,6 +413,10 b' class ConverterQuickHTML(Converter):' | |||
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383 | 413 | |
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384 | 414 | return lines |
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385 | 415 | |
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416 | @DocInherit | |
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417 | def _unknown_lines(self, data): | |
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418 | return ['<h2>Warning:: Unknown cell</h2>'] + self.in_tag('pre', data) | |
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419 | ||
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386 | 420 | |
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387 | 421 | class ConverterLaTeX(Converter): |
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388 | 422 | """Converts a notebook to a .tex file suitable for pdflatex. |
| @@ -413,7 +447,7 b' class ConverterLaTeX(Converter):' | |||
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413 | 447 | 5: r'\subparagraph', |
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414 | 448 | 6: r'\subparagraph'} |
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415 | 449 | |
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416 | def env(self, environment, lines): | |
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450 | def in_env(self, environment, lines): | |
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417 | 451 | """Return list of environment lines for input lines |
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418 | 452 | |
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419 | 453 | Parameters |
| @@ -482,8 +516,8 b' class ConverterLaTeX(Converter):' | |||
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482 | 516 | # Cell codes first carry input code, we use lstlisting for that |
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483 | 517 | lines = [r'\begin{codecell}'] |
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484 | 518 | |
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485 | lines.extend(self.env('codeinput', | |
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486 | self.env('lstlisting', cell.input))) | |
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519 | lines.extend(self.in_env('codeinput', | |
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520 | self.in_env('lstlisting', cell.input))) | |
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487 | 521 | |
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488 | 522 | outlines = [] |
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489 | 523 | for output in cell.outputs: |
| @@ -492,7 +526,7 b' class ConverterLaTeX(Converter):' | |||
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492 | 526 | |
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493 | 527 | # And then output of many possible types; use a frame for all of it. |
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494 | 528 | if outlines: |
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495 | lines.extend(self.env('codeoutput', outlines)) | |
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529 | lines.extend(self.in_env('codeoutput', outlines)) | |
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496 | 530 | |
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497 | 531 | lines.append(r'\end{codecell}') |
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498 | 532 | |
| @@ -501,7 +535,7 b' class ConverterLaTeX(Converter):' | |||
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501 | 535 | |
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502 | 536 | @DocInherit |
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503 | 537 | def _img_lines(self, img_file): |
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504 | return self.env('center', | |
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538 | return self.in_env('center', | |
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505 | 539 | [r'\includegraphics[width=3in]{%s}' % img_file, r'\par']) |
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506 | 540 | |
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507 | 541 | def _svg_lines(self, img_file): |
| @@ -516,7 +550,7 b' class ConverterLaTeX(Converter):' | |||
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516 | 550 | lines = [] |
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517 | 551 | |
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518 | 552 | if 'text' in output: |
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519 | lines.extend(self.env('verbatim', output.text.strip())) | |
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553 | lines.extend(self.in_env('verbatim', output.text.strip())) | |
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520 | 554 | |
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521 | 555 | return lines |
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522 | 556 | |
| @@ -533,20 +567,28 b' class ConverterLaTeX(Converter):' | |||
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533 | 567 | lines.extend(output.latex) |
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534 | 568 | |
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535 | 569 | if 'text' in output: |
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536 | lines.extend(self.env('verbatim', output.text)) | |
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570 | lines.extend(self.in_env('verbatim', output.text)) | |
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537 | 571 | |
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538 | 572 | return lines |
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539 | 573 | |
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540 | 574 | @DocInherit |
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541 | 575 | def render_pyerr(self, output): |
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542 | 576 | # Note: a traceback is a *list* of frames. |
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543 | return self.env('traceback', | |
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544 | self.env('verbatim', | |
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577 | return self.in_env('traceback', | |
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578 | self.in_env('verbatim', | |
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545 | 579 | remove_ansi('\n'.join(output.traceback)))) |
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546 | 580 | |
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547 | 581 | @DocInherit |
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548 |
def render_ |
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549 | return self.env('verbatim', pprint.pformat(cell)) | |
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582 | def render_raw(self, cell): | |
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583 | if self.raw_as_verbatim: | |
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584 | return self.in_env('verbatim', cell.source) | |
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585 | else: | |
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586 | return [cell.source] | |
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587 | ||
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588 | @DocInherit | |
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589 | def _unknown_lines(self, data): | |
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590 | return [r'{\vspace{5mm}\bf WARNING:: unknown cell:}'] + \ | |
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591 | self.in_env('verbatim', data) | |
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550 | 592 | |
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551 | 593 | |
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552 | 594 | def rst2simplehtml(infile): |
| @@ -51,15 +51,12 b'' | |||
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51 | 51 | { |
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52 | 52 | "cell_type": "markdown", |
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53 | 53 | "source": [ |
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54 | "A section heading", | |
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55 | "=================", | |
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56 | "", | |
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57 | 54 | "A bit of text, with *important things*:", |
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58 | 55 | "", |
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59 | 56 | "* and", |
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60 | "* more", | |
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57 | "* more that **are boldface**, as well as `verbatim`.", | |
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61 | 58 | "", |
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62 |
"Using |
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59 | "Using markdown hyperlinks for [ipython](http://ipython.org)." | |
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63 | 60 | ] |
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64 | 61 | }, |
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65 | 62 | { |
| @@ -67,21 +64,21 b'' | |||
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67 | 64 | "collapsed": false, |
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68 | 65 | "input": [ |
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69 | 66 | "f = figure()", |
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70 | "plot([1])", | |
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67 | "plot([1,2,3])", | |
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71 | 68 | "display(f)" |
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72 | 69 | ], |
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73 | 70 | "language": "python", |
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74 | 71 | "outputs": [ |
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75 | 72 | { |
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76 | 73 | "output_type": "display_data", |
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77 | "png": 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78 | 75 | "text": [ |
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79 |
"<matplotlib.figure.Figure at 0x |
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76 | "<matplotlib.figure.Figure at 0x981bccc>" | |
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80 | 77 | ] |
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81 | 78 | }, |
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82 | 79 | { |
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83 | 80 | "output_type": "display_data", |
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84 | "png": 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81 | "png": "iVBORw0KGgoAAAANSUhEUgAAAXYAAAD3CAYAAAAJxX+sAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nz6ixi4j4GTV2ERE/8/9mUozJaDh2nQAAAABJRU5ErkJggg==\n" | |
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85 | 82 | } |
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86 | 83 | ], |
|
|
87 | 84 | "prompt_number": 1 |
| @@ -128,7 +125,8 b'' | |||
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128 | 125 | "output_type": "stream", |
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129 | 126 | "stream": "stdout", |
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130 | 127 | "text": [ |
|
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131 | "hello world" | |
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128 | "hello world", | |
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129 | "" | |
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132 | 130 | ] |
|
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133 | 131 | } |
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134 | 132 | ], |
| @@ -141,17 +139,70 b'' | |||
|
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141 | 139 | ] |
|
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142 | 140 | }, |
|
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143 | 141 | { |
|
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144 |
"cell_type": " |
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142 | "cell_type": "raw", | |
|
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145 | 143 | "source": [ |
|
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146 | 144 | "plain text" |
|
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147 | 145 | ] |
|
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148 | 146 | }, |
|
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149 | 147 | { |
|
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150 | 148 | "cell_type": "code", |
|
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151 |
"collapsed": |
|
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152 |
"input": [ |
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149 | "collapsed": false, | |
|
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150 | "input": [ | |
|
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151 | "import sys", | |
|
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152 | "m = 'A message'", | |
|
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153 | "print m, 'to stdout'", | |
|
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154 | "print >> sys.stderr, m, 'to stderr'", | |
|
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155 | "m" | |
|
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156 | ], | |
|
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153 | 157 | "language": "python", |
|
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154 |
"outputs": [ |
|
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|
158 | "outputs": [ | |
|
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159 | { | |
|
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160 | "output_type": "stream", | |
|
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161 | "stream": "stdout", | |
|
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162 | "text": [ | |
|
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163 | "A message to stdout", | |
|
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164 | "" | |
|
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165 | ] | |
|
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166 | }, | |
|
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167 | { | |
|
|
168 | "output_type": "stream", | |
|
|
169 | "stream": "stderr", | |
|
|
170 | "text": [ | |
|
|
171 | "A message to stderr", | |
|
|
172 | "" | |
|
|
173 | ] | |
|
|
174 | }, | |
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175 | { | |
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176 | "output_type": "pyout", | |
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177 | "prompt_number": 5, | |
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178 | "text": [ | |
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179 | "'A message'" | |
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180 | ] | |
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181 | } | |
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182 | ], | |
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183 | "prompt_number": 5 | |
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184 | }, | |
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185 | { | |
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186 | "cell_type": "code", | |
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187 | "collapsed": false, | |
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188 | "input": [ | |
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189 | "# a traceback", | |
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190 | "1/0" | |
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191 | ], | |
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192 | "language": "python", | |
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193 | "outputs": [ | |
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194 | { | |
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195 | "ename": "ZeroDivisionError", | |
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196 | "evalue": "integer division or modulo by zero", | |
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197 | "output_type": "pyerr", | |
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198 | "traceback": [ | |
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199 | "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mZeroDivisionError\u001b[0m Traceback (most recent call last)", | |
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200 | "\u001b[1;32m/home/fperez/ipython/nbconvert/tests/<ipython-input-6-03412a6702b7>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;31m# a traceback\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[1;36m1\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", | |
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201 | "\u001b[1;31mZeroDivisionError\u001b[0m: integer division or modulo by zero" | |
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202 | ] | |
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203 | } | |
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204 | ], | |
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205 | "prompt_number": 6 | |
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155 | 206 | } |
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156 | 207 | ] |
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157 | 208 | } |
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