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"""
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"""
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|
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|
def cell_preprocessor(function):
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|
""" wrap a function to be executed on all cells of a notebook
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|
|
|
|
|
wrapped function parameters :
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|
cell : the cell
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|
other : external resources
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|
index : index of the cell
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|
"""
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|
def wrappedfunc(nb,other):
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|
for worksheet in nb.worksheets :
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|
for index, cell in enumerate(worksheet.cells):
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|
worksheet.cells[index],other= function(cell,other,index)
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|
return nb,other
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|
return wrappedfunc
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|
|
|
|
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|
@cell_preprocessor
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|
|
def haspyout_transformer(cell, other, count):
|
|
|
"""
|
|
|
Add a haspyout flag to cell that have it
|
|
|
|
|
|
Easier for templating, where you can't know in advance
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|
|
wether to write the out prompt
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|
|
|
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|
"""
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|
|
cell.type = cell.cell_type
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|
|
cell.haspyout = False
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|
|
for out in cell.get('outputs', []):
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|
|
if out.output_type == 'pyout':
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|
cell.haspyout = True
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|
break
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|
return cell,other
|
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|
|
|
|
|
|
|
@cell_preprocessor
|
|
|
def extract_figure_transformer(cell,other,count):
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|
|
for i,out in enumerate(cell.get('outputs', [])):
|
|
|
for type in ['html', 'pdf', 'svg', 'latex', 'png', 'jpg', 'jpeg']:
|
|
|
if out.hasattr(type):
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|
figname,data = _new_figure(out[type], type, count)
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|
|
cell.outputs[i][type] = figname
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|
|
out['key_'+type] = figname
|
|
|
other[figname] = data
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|
|
count = count+1
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|
|
return cell,other
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|
|
|
|
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|
