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"""
Script assumes torch, tf and numpy are already installed.
Also needs:
"nbformat",
"nbconvert",
"jupyter",
"pillow",
"""
from typing import Dict
from io import StringIO
__author__ = "Alex Rogozhnikov"
from pathlib import Path
import nbformat
from nbconvert.preprocessors import ExecutePreprocessor
def render_notebook(filename: Path, replacements: Dict[str, str]) -> str:
"""Takes path to the notebook, returns executed and rendered version
:param filename: notebook
:param replacements: dictionary with text replacements done before executing
:return: notebook, rendered as string
"""
with filename.open("r") as f:
nb_as_str = f.read()
for original, replacement in replacements.items():
assert original in nb_as_str, f"not found in notebook: {original}"
nb_as_str = nb_as_str.replace(original, replacement)
nb = nbformat.read(StringIO(nb_as_str), nbformat.NO_CONVERT)
ep = ExecutePreprocessor(timeout=120, kernel_name="python3")
ep.preprocess(nb, {"metadata": {"path": str(filename.parent.absolute())}})
result_as_stream = StringIO()
nbformat.write(nb, result_as_stream)
return result_as_stream.getvalue()
def test_notebook_1():
[notebook] = Path(__file__).parent.with_name("docs").glob("1-*.ipynb")
render_notebook(notebook, replacements={})
def test_notebook_2_with_all_backends():
[notebook] = Path(__file__).parent.with_name("docs").glob("2-*.ipynb")
for backend in ["pytorch", "tensorflow"]:
print("Testing {} with backend {}".format(notebook, backend))
replacements = {r"flavour = \"pytorch\"": r"flavour = \"{}\"".format(backend)}
expected_string = "selected {} backend".format(backend)
result = render_notebook(notebook, replacements=replacements)
assert expected_string in result
def test_notebook_3():
[notebook] = Path(__file__).parent.with_name("docs").glob("3-*.ipynb")
render_notebook(notebook, replacements={})
def test_notebook_4():
[notebook] = Path(__file__).parent.with_name("docs").glob("4-*.ipynb")
render_notebook(notebook, replacements={})
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