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Warn about .py/.json collisions in config...
Warn about .py/.json collisions in config when two versions of the config file set the same value, warn about clobbering, with a message, such as: ``` [TerminalIPythonApp] WARNING | Collisions detected in ipython_config.py and ipython_config.json config files. ipython_config.json has higher priority: { "Klass": { "trait": "'python' ignored, using 'json'" } } ``` In anticipation of more machine-written .json config

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convertfigures.py
58 lines | 2.0 KiB | text/x-python | PythonLexer
"""Module containing a preprocessor that converts outputs in the notebook from
one format to another.
"""
#-----------------------------------------------------------------------------
# Copyright (c) 2013, the IPython Development Team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with this software.
#-----------------------------------------------------------------------------
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
from .base import Preprocessor
from IPython.utils.traitlets import Unicode
#-----------------------------------------------------------------------------
# Classes
#-----------------------------------------------------------------------------
class ConvertFiguresPreprocessor(Preprocessor):
"""
Converts all of the outputs in a notebook from one format to another.
"""
from_format = Unicode(config=True, help='Format the converter accepts')
to_format = Unicode(config=True, help='Format the converter writes')
def __init__(self, **kw):
"""
Public constructor
"""
super(ConvertFiguresPreprocessor, self).__init__(**kw)
def convert_figure(self, data_format, data):
raise NotImplementedError()
def preprocess_cell(self, cell, resources, cell_index):
"""
Apply a transformation on each cell,
See base.py
"""
# Loop through all of the datatypes of the outputs in the cell.
for output in cell.get('outputs', []):
if output.output_type in {'execute_result', 'display_data'} \
and self.from_format in output.data \
and self.to_format not in output.data:
output.data[self.to_format] = self.convert_figure(
self.from_format, output.data[self.from_format])
return cell, resources