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"""Base classes and utilities for readers and writers."""
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# Copyright (c) IPython Development Team.
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# Distributed under the terms of the Modified BSD License.
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from IPython.utils import py3compat
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from IPython.utils.py3compat import unicode_type, string_types
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# output keys that are likely to have multiline values
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_multiline_outputs = {
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'text/plain',
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'text/html',
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'image/svg+xml',
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'text/latex',
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'application/javascript',
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}
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# FIXME: workaround for old splitlines()
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def _join_lines(lines):
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"""join lines that have been written by splitlines()
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Has logic to protect against `splitlines()`, which
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should have been `splitlines(True)`
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"""
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if lines and lines[0].endswith(('\n', '\r')):
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# created by splitlines(True)
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return u''.join(lines)
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else:
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# created by splitlines()
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return u'\n'.join(lines)
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def rejoin_lines(nb):
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"""rejoin multiline text into strings
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For reversing effects of ``split_lines(nb)``.
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This only rejoins lines that have been split, so if text objects were not split
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they will pass through unchanged.
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Used when reading JSON files that may have been passed through split_lines.
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"""
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for cell in nb.cells:
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if 'source' in cell and isinstance(cell.source, list):
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cell.source = _join_lines(cell.source)
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if cell.cell_type == 'code':
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for output in cell.outputs:
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if output.output_type in {'execute_result', 'display_data'}:
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for key, value in output.data.items():
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if key != 'application/json' and isinstance(value, list):
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output.data[key] = _join_lines(value)
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elif output.output_type == 'stream':
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if isinstance(output.text, list):
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output.text = _join_lines(output.text)
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return nb
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def split_lines(nb):
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"""split likely multiline text into lists of strings
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For file output more friendly to line-based VCS. ``rejoin_lines(nb)`` will
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reverse the effects of ``split_lines(nb)``.
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Used when writing JSON files.
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"""
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for cell in nb.cells:
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source = cell.get('source', None)
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if isinstance(source, string_types):
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cell['source'] = source.splitlines(True)
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if cell.cell_type == 'code':
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for output in cell.outputs:
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if output.output_type in {'execute_result', 'display_data'}:
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for key, value in output.data.items():
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if key != 'application/json' and isinstance(value, string_types):
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output.data[key] = value.splitlines(True)
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elif output.output_type == 'stream':
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if isinstance(output.text, string_types):
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output.text = output.text.splitlines(True)
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return nb
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def strip_transient(nb):
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"""Strip transient values that shouldn't be stored in files.
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This should be called in *both* read and write.
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"""
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nb.metadata.pop('orig_nbformat', None)
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nb.metadata.pop('orig_nbformat_minor', None)
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for cell in nb.cells:
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cell.metadata.pop('trusted', None)
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return nb
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class NotebookReader(object):
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"""A class for reading notebooks."""
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def reads(self, s, **kwargs):
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"""Read a notebook from a string."""
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raise NotImplementedError("loads must be implemented in a subclass")
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def read(self, fp, **kwargs):
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"""Read a notebook from a file like object"""
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nbs = fp.read()
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if not py3compat.PY3 and not isinstance(nbs, unicode_type):
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nbs = py3compat.str_to_unicode(nbs)
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return self.reads(nbs, **kwargs)
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class NotebookWriter(object):
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"""A class for writing notebooks."""
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def writes(self, nb, **kwargs):
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"""Write a notebook to a string."""
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raise NotImplementedError("loads must be implemented in a subclass")
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def write(self, nb, fp, **kwargs):
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"""Write a notebook to a file like object"""
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nbs = self.writes(nb,**kwargs)
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if not py3compat.PY3 and not isinstance(nbs, unicode_type):
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# this branch is likely only taken for JSON on Python 2
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nbs = py3compat.str_to_unicode(nbs)
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return fp.write(nbs)
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