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September 26, 2020 14:03
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ipynb2sg.py
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from pathlib import Path | |
from nbconvert import PythonExporter | |
import textwrap | |
exporter = PythonExporter() | |
notebook = Path('docs/tutorials/decomposition/ajive_tutorial.ipynb') | |
def nb2py(notebook): | |
body, _ = exporter.from_filename(notebook) | |
level_style = {1: '=', 2: '-', 3: '^', 4: '^', 5: '^'} | |
body_clean = "" | |
in_header = True | |
body_clean += '"""\n' | |
for line in body.split('\n')[3:]: | |
if not line.startswith('#') and in_header: | |
in_header = False | |
line += '\n"""' | |
if in_header and line.startswith('# '): | |
line = line[2:] | |
if '# In' in line: | |
continue | |
if '--' == line: | |
continue | |
if '<blockquote>' in line: | |
continue | |
if 'get_ipython' in line: | |
continue | |
if not in_header and line.startswith('# #'): | |
level = len(line.split(' ')[1]) | |
title = ' '.join(line.split(' ')[2:]) | |
line = f'{"#" * 79}\n# {title}\n# {level_style[level] * len(title)}' | |
elif in_header and line.startswith('#'): | |
level = len(line.split(' ')[0]) | |
title = ' '.join(line.split(' ')[2:]) | |
line = f'{title}\n{level_style[level] * len(title)}' | |
elif line.startswith('#') and len(line) >= 80: | |
lines = textwrap.wrap(line, width=78) | |
if in_header: | |
line = '\n'.join(lines) | |
else: | |
line = '\n# '.join(lines) | |
body_clean += line + '\n' | |
body_clean = body_clean.replace('\n'*3, '\n'*2) | |
body_clean = body_clean.replace(' \n', '\n') | |
return body_clean | |
notebook_dir = Path('docs/tutorials/') | |
notebooks = list(notebook_dir.rglob('*.*')) | |
fname = Path('examples') / 'README.rst' | |
if not Path('examples').exists(): | |
Path('examples').mkdir(parents=True) | |
with open(fname, "w", encoding="utf8") as f: | |
f.write('''Examples Gallery | |
================ | |
The examples gallery provides working code samples demonstrating what | |
can be done with the mvlearn library. | |
''') | |
for notebook in notebooks: | |
if not notebook.name.endswith('ipynb'): | |
continue | |
print(notebook) | |
folder = Path('examples', list(notebook.parents)[-4].name) | |
if not folder.exists(): | |
folder.mkdir(parents=True) | |
fname = folder / 'README.rst' | |
with open(fname, "w", encoding="utf8") as f: | |
f.write('''Examples on %s | |
=================================== | |
''' % list(notebook.parents)[-4].name) | |
body_clean = nb2py(notebook) | |
fname = str(notebook.name)[:-6].replace(' ', '_').lower() | |
if fname == 'scikit-learn_integration': | |
fname = f'{notebook.parent.name}_sklearn_integration' | |
fname = 'plot_' + fname + '.py' | |
fname = folder / fname | |
with open(fname, "w", encoding="utf8") as f: | |
f.write(body_clean) |
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