def test_ignore_order_depth5(self):
t1 = [4, 2, 2, 1]
t2 = [4, 1, 1, 1]
ddiff = DeepDiff(t1,
t2,
ignore_order=True,
report_repetition=True,
cache_purge_level=0)
expected = {
'iterable_item_removed': {
'root[1]': 2,
'root[2]': 2
},
'repetition_change': {
'root[3]': {
'old_repeat': 1,
'new_repeat': 3,
'old_indexes': [3],
'new_indexes': [1, 2, 3],
'value': 1
}
}
}
assert expected == ddiff
ddiff = DeepDiff(t1,
t2,
ignore_order=True,
report_repetition=False,
cache_purge_level=0)
dist = ddiff._get_rough_distance()
assert 0.1 == dist
def test_distance_of_the_same_objects(self):
t1 = [{1, 2, 3}, {4, 5, 6}]
t2 = [{4, 5, 6}, {1, 2, 3}]
ddiff = DeepDiff(t1, t2, ignore_order=True, cache_purge_level=0)
assert {} == ddiff
assert 0 == _get_item_length(ddiff)
assert '0' == str(ddiff._get_rough_distance())[:10]
assert 9 == ddiff._DistanceMixin__get_item_rough_length(ddiff.t1)
assert 9 == ddiff._DistanceMixin__get_item_rough_length(ddiff.t2)
def test_distance_of_list_sets(self):
t1 = [{1, 2, 3}, {4, 5}]
t2 = [{4, 5, 6}, {1, 2, 3}]
ddiff = DeepDiff(t1, t2, ignore_order=True, cache_purge_level=0)
delta = ddiff._to_delta_dict(report_repetition_required=False)
assert {'set_item_added': {'root[1]': {6}}} == delta
assert 1 == _get_item_length(ddiff)
assert '0.05882352' == str(ddiff._get_rough_distance())[:10]
assert 8 == ddiff._DistanceMixin__get_item_rough_length(ddiff.t1)
assert 9 == ddiff._DistanceMixin__get_item_rough_length(ddiff.t2)
def test_get_rough_length_after_cache_purge(self):
diff = DeepDiff([1], ['a'])
with pytest.raises(RuntimeError) as excinfo:
diff._get_rough_distance()
assert DISTANCE_CALCS_NEEDS_CACHE == str(excinfo.value)
