You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
ORPA-pyOpenRPA/Resources/WPy64-3720/python-3.7.2.amd64/Lib/site-packages/nbconvert/preprocessors/tests/test_execute.py

110 lines
3.7 KiB

# coding=utf-8
"""
Module with tests for the execute preprocessor.
"""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
import os
import re
import pytest
import nbformat
from copy import deepcopy
from ..execute import ExecutePreprocessor, executenb
addr_pat = re.compile(r'0x[0-9a-f]{7,9}')
def normalize_output(output):
"""
Normalizes (most) outputs for comparison.
"""
output = dict(output)
if 'metadata' in output:
del output['metadata']
if 'text' in output:
output['text'] = re.sub(addr_pat, '<HEXADDR>', output['text'])
if 'text/plain' in output.get('data', {}):
output['data']['text/plain'] = \
re.sub(addr_pat, '<HEXADDR>', output['data']['text/plain'])
for key, value in output.get('data', {}).items():
if isinstance(value, str):
output['data'][key] = value
return output
def assert_notebooks_equal(expected, actual):
expected_cells = expected['cells']
actual_cells = actual['cells']
assert len(expected_cells) == len(actual_cells)
for expected_cell, actual_cell in zip(expected_cells, actual_cells):
expected_outputs = expected_cell.get('outputs', [])
actual_outputs = actual_cell.get('outputs', [])
normalized_expected_outputs = list(map(normalize_output, expected_outputs))
normalized_actual_outputs = list(map(normalize_output, actual_outputs))
assert normalized_expected_outputs == normalized_actual_outputs
expected_execution_count = expected_cell.get('execution_count', None)
actual_execution_count = actual_cell.get('execution_count', None)
assert expected_execution_count == actual_execution_count
def test_basic_execution():
preprocessor = ExecutePreprocessor()
fname = os.path.join(os.path.dirname(__file__), 'files', 'HelloWorld.ipynb')
with open(fname) as f:
input_nb = nbformat.read(f, 4)
output_nb, _ = preprocessor.preprocess(deepcopy(input_nb))
assert_notebooks_equal(input_nb, output_nb)
def test_mixed_markdown_execution():
preprocessor = ExecutePreprocessor()
fname = os.path.join(os.path.dirname(__file__), 'files', 'MixedMarkdown.ipynb')
with open(fname) as f:
input_nb = nbformat.read(f, 4)
output_nb, _ = preprocessor.preprocess(deepcopy(input_nb))
assert_notebooks_equal(input_nb, output_nb)
def test_executenb():
fname = os.path.join(os.path.dirname(__file__), 'files', 'HelloWorld.ipynb')
with open(fname) as f:
input_nb = nbformat.read(f, 4)
with pytest.warns(FutureWarning):
output_nb = executenb(deepcopy(input_nb))
assert_notebooks_equal(input_nb, output_nb)
def test_populate_language_info():
preprocessor = ExecutePreprocessor(kernel_name="python")
nb = nbformat.v4.new_notebook() # Certainly has no language_info.
preprocessor.preprocess(nb, resources={})
# Should mutate input
assert 'language_info' in nb.metadata # See that a basic attribute is filled in
def test_preprocess_cell():
class CellReplacer(ExecutePreprocessor):
def preprocess_cell(self, cell, resources, index, **kwargs):
cell.source = "print('Ignored')"
return super().preprocess_cell(cell, resources, index, **kwargs)
preprocessor = CellReplacer()
fname = os.path.join(os.path.dirname(__file__), 'files', 'HelloWorld.ipynb')
with open(fname) as f:
input_nb = nbformat.read(f, 4)
output_nb, _ = preprocessor.preprocess(deepcopy(input_nb))
expected_nb = deepcopy(input_nb)
for cell in expected_nb.cells:
cell.source = "print('Ignored')"
for output in cell.outputs:
output.text = 'Ignored\n'
assert_notebooks_equal(expected_nb, output_nb)