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Adding checks to nbconvert.utils.pandoc module to ensure Pandoc is present...
Adding checks to nbconvert.utils.pandoc module to ensure Pandoc is present and issue warnings or raise exceptions when needed. Removed module root clutter and limited calling subprocess functions from too many places inside the module.

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data.py
37 lines | 1.2 KiB | text/x-python | PythonLexer
# encoding: utf-8
"""Utilities for working with data structures like lists, dicts and tuples.
"""
#-----------------------------------------------------------------------------
# Copyright (C) 2008-2011 The IPython Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#-----------------------------------------------------------------------------
from .py3compat import xrange
def uniq_stable(elems):
"""uniq_stable(elems) -> list
Return from an iterable, a list of all the unique elements in the input,
but maintaining the order in which they first appear.
Note: All elements in the input must be hashable for this routine
to work, as it internally uses a set for efficiency reasons.
"""
seen = set()
return [x for x in elems if x not in seen and not seen.add(x)]
def flatten(seq):
"""Flatten a list of lists (NOT recursive, only works for 2d lists)."""
return [x for subseq in seq for x in subseq]
def chop(seq, size):
"""Chop a sequence into chunks of the given size."""
return [seq[i:i+size] for i in xrange(0,len(seq),size)]