mirror of
https://github.com/triqs/dft_tools
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58 lines
1.7 KiB
Python
58 lines
1.7 KiB
Python
r"""
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Module defining a custom TestCase with extra functionality.
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"""
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import unittest
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import numpy as np
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import difflib
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class MyTestCase(unittest.TestCase):
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"""
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Custom TestCase class supporting additional equality checks:
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- numpy array equality
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- file equality
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"""
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def __init__(self, *args, **kwargs):
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"""
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Initializes a custom equality function for comparing numpy arrays.
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"""
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super(MyTestCase, self).__init__(*args, **kwargs)
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np.set_printoptions(suppress=True)
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self.addTypeEqualityFunc(np.ndarray, self.is_arrays_equal)
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def is_arrays_equal(self, arr1, arr2, msg=None):
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"""
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Raises self.failureException is arrays arr1 and arr2
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are not equal.
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"""
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if not np.allclose(arr1, arr2):
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raise self.failureException(msg)
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def assertFileEqual(self, file1, file2):
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"""
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Compares two files using difflib.
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Empty lines are ignored.
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Files are assumed to be relatively small;
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the data is truncated for files larger than MAX_SIZE bytes.
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"""
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MAX_SIZE = 100000
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with open(file1, 'r') as f1:
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str1 = f1.read(MAX_SIZE)
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with open(file2, 'r') as f2:
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str2 = f2.read(MAX_SIZE)
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#
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# Make a diff
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#
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# Remove empty lines
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lstr1 = filter(lambda s: s.strip() != '', str1.splitlines(True))
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lstr2 = filter(lambda s: s.strip() != '', str2.splitlines(True))
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# diff
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delta = difflib.unified_diff(lstr1, lstr2)
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# combine delta's to a string
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diff = ''.join(delta)
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# if 'diff' is non-empty, files are different
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if diff:
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return self.fail("Files '%s' and '%s' differ"%(file1, file2))
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