def test_nbs():
path = os.path.join(pyfolio_root(), 'examples', '*.ipynb')
for ipynb in glob.glob(path):
with open(ipynb) as f:
nb = read(f, 'json')
nb_runner = NotebookRunner(nb)
nb_runner.run_notebook(skip_exceptions=False)
def test_nbs():
path = os.path.join(pyfolio_root(), "examples", "*.ipynb")
for ipynb in glob.glob(path):
with open(ipynb) as f:
nb = read_notebook(f, "json")
nb_runner = NotebookRunner(nb)
nb_runner.run_notebook(skip_exceptions=False)
def test_nbs():
path = os.path.join(pyfolio_root(), 'examples', '*.ipynb')
for ipynb in glob.glob(path):
# See if bayesian is useable before we run a test
if ipynb.endswith('bayesian.ipynb'):
try:
import pymc3 # NOQA
except:
continue
with open(ipynb) as f:
nb = read_notebook(f, 'json')
nb_runner = NotebookRunner(nb)
nb_runner.run_notebook(skip_exceptions=False)