upstream/ipython Files · IPython/utils/data.py

normalize unicode notebook filenames...

normalize unicode notebook filenames used in comparison check for notebook name change. Unless the filenames are normalized, unchanged names may result in false positives for a name change (e.g. OS X uses NFD on the filesystem, so u'\xfc' roundtripped to the filesystem will be u'u\u0308'), which can result in the first save of a notebook after open performing the following actions: 1. save the recently opened notebook 2. `old_name != new_name`, so name change detected 3. delete old_name (which is actually new_name), which ultimately deletes the just-saved notebook In master, this has a symptom of the first checkpoint failing because the first save actually deleted the file, and you can't checkpoint a notebook that doesn't exist. closes

Thomas Kluyver - - Load All Authors

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      # 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.

      #-----------------------------------------------------------------------------

      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)]

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				# 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.
				#-----------------------------------------------------------------------------

				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)]