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test_execute.py
92 lines | 3.2 KiB | text/x-python | PythonLexer
"""
Module with tests for the execute preprocessor.
"""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
import copy
import glob
import io
import os
import re
from IPython import nbformat
from .base import PreprocessorTestsBase
from ..execute import ExecutePreprocessor
from IPython.nbconvert.filters import strip_ansi
addr_pat = re.compile(r'0x[0-9a-f]{7,9}')
class TestExecute(PreprocessorTestsBase):
"""Contains test functions for execute.py"""
@staticmethod
def normalize_output(output):
"""
Normalizes 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'])
if 'traceback' in output:
tb = []
for line in output['traceback']:
tb.append(strip_ansi(line))
output['traceback'] = tb
return output
def assert_notebooks_equal(self, expected, actual):
expected_cells = expected['cells']
actual_cells = actual['cells']
self.assertEqual(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(self.normalize_output, expected_outputs))
normalized_actual_outputs = list(map(self.normalize_output, actual_outputs))
self.assertEqual(normalized_expected_outputs, normalized_actual_outputs)
expected_execution_count = expected_cell.get('execution_count', None)
actual_execution_count = actual_cell.get('execution_count', None)
self.assertEqual(expected_execution_count, actual_execution_count)
def build_preprocessor(self):
"""Make an instance of a preprocessor"""
preprocessor = ExecutePreprocessor()
preprocessor.enabled = True
return preprocessor
def test_constructor(self):
"""Can a ExecutePreprocessor be constructed?"""
self.build_preprocessor()
def test_run_notebooks(self):
"""Runs a series of test notebooks and compares them to their actual output"""
current_dir = os.path.dirname(__file__)
input_files = glob.glob(os.path.join(current_dir, 'files', '*.ipynb'))
for filename in input_files:
with io.open(os.path.join(current_dir, 'files', filename)) as f:
input_nb = nbformat.read(f, 4)
res = self.build_resources()
preprocessor = self.build_preprocessor()
cleaned_input_nb = copy.deepcopy(input_nb)
for cell in cleaned_input_nb.cells:
if 'execution_count' in cell:
del cell['execution_count']
cell['outputs'] = []
output_nb, _ = preprocessor(cleaned_input_nb, res)
self.assert_notebooks_equal(output_nb, input_nb)