ipypublish.preprocessors.latex_doc_defaults module

class ipypublish.preprocessors.latex_doc_defaults.MetaDefaults(*args, **kwargs)

Bases: nbconvert.preprocessors.base.Preprocessor

a preprocessor which enters default metadata tags into all cell metadata, without overriding any currently set

cell_defaults

An instance of a Python dict.

nb_defaults

An instance of a Python dict.

overwrite

A boolean (True, False) trait.

preprocess(nb, resources)

Preprocessing to apply on each notebook.

Must return modified nb, resources.

If you wish to apply your preprocessing to each cell, you might want to override preprocess_cell method instead.

Parameters

• nb (NotebookNode) – Notebook being converted

• resources (dictionary) – Additional resources used in the conversion process. Allows preprocessors to pass variables into the Jinja engine.

ipypublish.preprocessors.latex_doc_defaults.flatten(d, key_as_tuple=True, sep='.')

get nested dict as {key:val,…}, where key is tuple/string of all nested keys

Parameters

• d (dict) –

• key_as_tuple (bool) – whether keys are list of nested keys or delimited string of nested keys

• sep (str) – if key_as_tuple=False, delimiter for keys

Examples

>>> from pprint import pprint

>>> d = {1:{"a":"A"},2:{"b":"B"}}
>>> pprint(flatten(d))
{(1, 'a'): 'A', (2, 'b'): 'B'}

>>> d = {1:{"a":"A"},2:{"b":"B"}}
>>> pprint(flatten(d,key_as_tuple=False))
{'1.a': 'A', '2.b': 'B'}