91 lines
2.5 KiB
Python
91 lines
2.5 KiB
Python
"""Various utility functions."""
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__unittest = True
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def safe_repr(obj):
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try:
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return repr(obj)
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except Exception:
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return object.__repr__(obj)
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def strclass(cls):
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return "%s.%s" % (cls.__module__, cls.__name__)
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def sorted_list_difference(expected, actual):
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"""Finds elements in only one or the other of two, sorted input lists.
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Returns a two-element tuple of lists. The first list contains those
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elements in the "expected" list but not in the "actual" list, and the
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second contains those elements in the "actual" list but not in the
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"expected" list. Duplicate elements in either input list are ignored.
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"""
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i = j = 0
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missing = []
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unexpected = []
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while True:
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try:
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e = expected[i]
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a = actual[j]
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if e < a:
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missing.append(e)
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i += 1
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while expected[i] == e:
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i += 1
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elif e > a:
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unexpected.append(a)
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j += 1
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while actual[j] == a:
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j += 1
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else:
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i += 1
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try:
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while expected[i] == e:
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i += 1
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finally:
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j += 1
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while actual[j] == a:
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j += 1
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except IndexError:
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missing.extend(expected[i:])
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unexpected.extend(actual[j:])
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break
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return missing, unexpected
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def unorderable_list_difference(expected, actual, ignore_duplicate=False):
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"""Same behavior as sorted_list_difference but
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for lists of unorderable items (like dicts).
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As it does a linear search per item (remove) it
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has O(n*n) performance.
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"""
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missing = []
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unexpected = []
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while expected:
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item = expected.pop()
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try:
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actual.remove(item)
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except ValueError:
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missing.append(item)
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if ignore_duplicate:
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for lst in expected, actual:
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try:
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while True:
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lst.remove(item)
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except ValueError:
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pass
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if ignore_duplicate:
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while actual:
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item = actual.pop()
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unexpected.append(item)
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try:
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while True:
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actual.remove(item)
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except ValueError:
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pass
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return missing, unexpected
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# anything left in actual is unexpected
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return missing, actual
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