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from __future__ import print_function
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from converters.utils import remove_fake_files_url
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# Stdlib
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import codecs
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import io
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import logging
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import os
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import pprint
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import re
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import subprocess
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import sys
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import json
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import copy
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from types import FunctionType
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from shutil import rmtree
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# From IPython
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from IPython.external import argparse
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from IPython.nbformat import current as nbformat
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from IPython.utils.text import indent
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from IPython.nbformat.v3.nbjson import BytesEncoder
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from IPython.utils import path, py3compat
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# local
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from lexers import IPythonLexer
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#-----------------------------------------------------------------------------
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# Class declarations
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#-----------------------------------------------------------------------------
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class ConversionException(Exception):
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pass
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class DocStringInheritor(type):
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"""
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This metaclass will walk the list of bases until the desired
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superclass method is found AND if that method has a docstring and only
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THEN does it attach the superdocstring to the derived class method.
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Please use carefully, I just did the metaclass thing by following
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Michael Foord's Metaclass tutorial
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(http://www.voidspace.org.uk/python/articles/metaclasses.shtml), I may
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have missed a step or two.
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source:
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http://groups.google.com/group/comp.lang.python/msg/26f7b4fcb4d66c95
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by Paul McGuire
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"""
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def __new__(meta, classname, bases, classDict):
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newClassDict = {}
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for attributeName, attribute in classDict.items():
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if type(attribute) == FunctionType:
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# look through bases for matching function by name
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for baseclass in bases:
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if hasattr(baseclass, attributeName):
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basefn = getattr(baseclass,attributeName)
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if basefn.__doc__:
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attribute.__doc__ = basefn.__doc__
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break
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newClassDict[attributeName] = attribute
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return type.__new__(meta, classname, bases, newClassDict)
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class Converter(object):
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__metaclass__ = DocStringInheritor
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default_encoding = 'utf-8'
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extension = str()
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figures_counter = 0
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infile = str()
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infile_dir = str()
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infile_root = str()
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files_dir = str()
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with_preamble = True
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user_preamble = None
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output = str()
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raw_as_verbatim = False
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def __init__(self, infile):
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self.infile = infile
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self.infile_dir, infile_root = os.path.split(infile)
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infile_root = os.path.splitext(infile_root)[0]
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files_dir = os.path.join(self.infile_dir, infile_root + '_files')
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if not os.path.isdir(files_dir):
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os.mkdir(files_dir)
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self.infile_root = infile_root
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self.files_dir = files_dir
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self.outbase = os.path.join(self.infile_dir, infile_root)
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def __del__(self):
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if not os.listdir(self.files_dir):
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os.rmdir(self.files_dir)
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def dispatch(self, cell_type):
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"""return cell_type dependent render method, for example render_code
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"""
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return getattr(self, 'render_' + cell_type, self.render_unknown)
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def dispatch_display_format(self, format):
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"""return output_type dependent render method, for example render_output_text
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"""
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return getattr(self, 'render_display_format_' + format, self.render_unknown_display)
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def convert(self, cell_separator='\n'):
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"""
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Generic method to converts notebook to a string representation.
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This is accomplished by dispatching on the cell_type, so subclasses of
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Convereter class do not need to re-implement this method, but just
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need implementation for the methods that will be dispatched.
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Parameters
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----------
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cell_separator : string
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Character or string to join cells with. Default is "\n"
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Returns
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-------
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out : string
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"""
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lines = []
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lines.extend(self.optional_header())
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lines.extend(self.main_body(cell_separator))
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lines.extend(self.optional_footer())
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return u'\n'.join(lines)
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def main_body(self, cell_separator='\n'):
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converted_cells = []
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for worksheet in self.nb.worksheets:
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for cell in worksheet.cells:
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#print(cell.cell_type) # dbg
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conv_fn = self.dispatch(cell.cell_type)
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if cell.cell_type in ('markdown', 'raw'):
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remove_fake_files_url(cell)
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converted_cells.append('\n'.join(conv_fn(cell)))
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cell_lines = cell_separator.join(converted_cells).split('\n')
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return cell_lines
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def render(self):
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"read, convert, and save self.infile"
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if not hasattr(self, 'nb'):
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self.read()
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self.output = self.convert()
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return self.save()
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def read(self):
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"read and parse notebook into NotebookNode called self.nb"
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with open(self.infile) as f:
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self.nb = nbformat.read(f, 'json')
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def save(self, outfile=None, encoding=None):
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"read and parse notebook into self.nb"
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if outfile is None:
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outfile = self.outbase + '.' + self.extension
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if encoding is None:
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encoding = self.default_encoding
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with io.open(outfile, 'w', encoding=encoding) as f:
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f.write(self.output)
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return os.path.abspath(outfile)
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def optional_header(self):
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"""
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Optional header to insert at the top of the converted notebook
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Returns a list
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"""
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return []
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def optional_footer(self):
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"""
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Optional footer to insert at the end of the converted notebook
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Returns a list
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"""
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return []
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def _new_figure(self, data, fmt):
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"""Create a new figure file in the given format.
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Returns a path relative to the input file.
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"""
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figname = '%s_fig_%02i.%s' % (self.infile_root,
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self.figures_counter, fmt)
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self.figures_counter += 1
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fullname = os.path.join(self.files_dir, figname)
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# Binary files are base64-encoded, SVG is already XML
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if fmt in ('png', 'jpg', 'pdf'):
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data = data.decode('base64')
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fopen = lambda fname: open(fname, 'wb')
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else:
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fopen = lambda fname: codecs.open(fname, 'wb', self.default_encoding)
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with fopen(fullname) as f:
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f.write(data)
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return fullname
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def render_heading(self, cell):
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"""convert a heading cell
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Returns list."""
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raise NotImplementedError
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def render_code(self, cell):
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"""Convert a code cell
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Returns list."""
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raise NotImplementedError
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def render_markdown(self, cell):
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"""convert a markdown cell
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Returns list."""
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raise NotImplementedError
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def _img_lines(self, img_file):
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"""Return list of lines to include an image file."""
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# Note: subclasses may choose to implement format-specific _FMT_lines
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# methods if they so choose (FMT in {png, svg, jpg, pdf}).
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raise NotImplementedError
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def render_display_data(self, output):
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"""convert display data from the output of a code cell
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Returns list.
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"""
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lines = []
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for fmt in output.keys():
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if fmt in ['png', 'svg', 'jpg', 'pdf']:
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img_file = self._new_figure(output[fmt], fmt)
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# Subclasses can have format-specific render functions (e.g.,
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# latex has to auto-convert all SVG to PDF first).
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lines_fun = getattr(self, '_%s_lines' % fmt, None)
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if not lines_fun:
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lines_fun = self._img_lines
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lines.extend(lines_fun(img_file))
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elif fmt != 'output_type':
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conv_fn = self.dispatch_display_format(fmt)
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lines.extend(conv_fn(output))
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return lines
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def render_raw(self, cell):
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"""convert a cell with raw text
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Returns list."""
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raise NotImplementedError
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def render_unknown(self, cell):
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"""Render cells of unkown type
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Returns list."""
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data = pprint.pformat(cell)
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logging.warning('Unknown cell: %s' % cell.cell_type)
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return self._unknown_lines(data)
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def render_unknown_display(self, output, type):
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"""Render cells of unkown type
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Returns list."""
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data = pprint.pformat(output)
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logging.warning('Unknown output: %s' % output.output_type)
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return self._unknown_lines(data)
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def render_stream(self, output):
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"""render the stream part of an output
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Returns list.
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Identical to render_display_format_text
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"""
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return self.render_display_format_text(output)
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def render_pyout(self, output):
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"""convert pyout part of a code cell
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Returns list."""
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raise NotImplementedError
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def render_pyerr(self, output):
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"""convert pyerr part of a code cell
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Returns list."""
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raise NotImplementedError
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def _unknown_lines(self, data):
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"""Return list of lines for an unknown cell.
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Parameters
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----------
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data : str
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The content of the unknown data as a single string.
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"""
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raise NotImplementedError
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# These are the possible format types in an output node
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def render_display_format_text(self, output):
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"""render the text part of an output
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Returns list.
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"""
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raise NotImplementedError
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def render_display_format_html(self, output):
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"""render the html part of an output
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Returns list.
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"""
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raise NotImplementedError
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def render_display_format_latex(self, output):
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"""render the latex part of an output
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Returns list.
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"""
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raise NotImplementedError
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def render_display_format_json(self, output):
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"""render the json part of an output
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Returns list.
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"""
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raise NotImplementedError
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def render_display_format_javascript(self, output):
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"""render the javascript part of an output
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Returns list.
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"""
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raise NotImplementedError
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