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don't import numpy in pickleutil until it is used...
don't import numpy in pickleutil until it is used can affect startup time, memory usage, etc. as seen in #4199

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convertfigures.py
64 lines | 2.3 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 index, cell_out in enumerate(cell.get('outputs', [])):
for data_type, data in cell_out.items():
# this must run *before* extract outputs,
# so figure_name and filename do not exist
self._convert_figure(cell_out, resources, data_type, data)
return cell, resources
def _convert_figure(self, cell_out, resources, data_type, data):
"""
Convert a figure and output the results to the cell output
"""
if not self.to_format in cell_out and data_type == self.from_format:
data = self.convert_figure(data_type, data)
cell_out[self.to_format] = data