Vehicle-Anti-Theft-Face-Rec.../venv/Lib/site-packages/nbconvert/preprocessors/tests/test_regexremove.py

71 lines
2.4 KiB
Python

"""
Module with tests for the RegexRemovePreprocessor.
"""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
import re
from nbformat import v4 as nbformat, from_dict
from .base import PreprocessorTestsBase
from ..regexremove import RegexRemovePreprocessor
class TestRegexRemove(PreprocessorTestsBase):
"""Contains test functions for regexremove.py"""
def build_notebook(self):
notebook = super().build_notebook()
# Add a few empty cells
notebook.cells.extend([
nbformat.new_code_cell(''),
nbformat.new_markdown_cell(' '),
nbformat.new_raw_cell('\n'),
nbformat.new_raw_cell('\t'),
])
return notebook
def build_preprocessor(self):
"""Make an instance of a preprocessor"""
preprocessor = RegexRemovePreprocessor()
preprocessor.enabled = True
return preprocessor
def test_constructor(self):
"""Can a RegexRemovePreprocessor be constructed?"""
self.build_preprocessor()
def test_output(self):
"""Test the output of the RegexRemovePreprocessor"""
pattern_lookup = {
'disallow_whitespace': [r'\s*\Z'],
'disallow_tab_newline': [r'\t\Z', r'\n\Z']
}
expected_cell_count = {
'default': 6, # nothing is removed
'disallow_whitespace': 2, # all "empty" cells are removed
'disallow_tab_newline': 4, # cells with tab and newline are removed
'none': 6,
}
for method in ['default', 'disallow_whitespace', 'disallow_tab_newline', 'none']:
nb = self.build_notebook()
res = self.build_resources()
# Build the preprocessor and extend the list of patterns or use an empty list
preprocessor = self.build_preprocessor()
if method == 'none':
preprocessor.patterns = []
else:
preprocessor.patterns.extend(pattern_lookup.get(method, []))
nb, res = preprocessor(nb, res)
self.assertEqual(len(nb.cells), expected_cell_count[method])
# Make sure none of the cells match the pattern
patterns = list(map(re.compile, preprocessor.patterns))
for cell in nb.cells:
for pattern in patterns:
self.assertFalse(pattern.match(cell.source))