代码拉取完成,页面将自动刷新
from decimal import Decimal
from deepdiff import DeepDiff
class TestDiffMath:
def test_math_diff(self):
"""Testing for the correct setting and usage of epsilon."""
d1 = {"a": Decimal("3.5")}
d2 = {"a": Decimal("4")}
ep = 0.5
res = DeepDiff(d1, d2, math_epsilon=ep)
assert res == {}
d1 = {"a": Decimal("2.5")}
d2 = {"a": Decimal("3")}
ep = 0.5
res = DeepDiff(d1, d2, math_epsilon=ep)
assert res == {}
d1 = {"a": Decimal("2.5")}
d2 = {"a": Decimal("2")}
ep = 0.5
res = DeepDiff(d1, d2, math_epsilon=ep)
assert res == {}
d1 = {"a": Decimal("7.175")}
d2 = {"a": Decimal("7.174")}
ep = 0.1
res = DeepDiff(d1, d2, math_epsilon=ep)
assert res == {}
d1 = {"a": Decimal("7.175")}
d2 = {"a": Decimal("7.174")}
ep = 0.01
res = DeepDiff(d1, d2, math_epsilon=ep)
assert res == {}
d1 = {"a": Decimal("7.175")}
d2 = {"a": Decimal("7.174")}
ep = 0.001
res = DeepDiff(d1, d2, math_epsilon=ep)
assert res == {}
d1 = {"a": Decimal("7.175")}
d2 = {"a": Decimal("7.174")}
ep = 0.0001
expected = {
"values_changed": {
"root['a']": {
"new_value": Decimal("7.174"),
"old_value": Decimal("7.175"),
}
}
}
res = DeepDiff(d1, d2, math_epsilon=ep)
assert res == expected
def test_math_diff_special_case(self):
"""Testing epsilon on a special Decimal case.
Even though the Decimal looks different, math will evaluate it for us."""
d1 = {"a": Decimal("9.709999618320632")}
d2 = {"a": Decimal("9.710000038146973")}
ep = 0.001
res = DeepDiff(d1, d2, math_epsilon=ep)
assert res == {}
d1 = {"a": Decimal("9.709999618320632")}
d2 = {"a": Decimal("9.710000038146973")}
ep = 0.0001
res = DeepDiff(d1, d2, math_epsilon=ep)
assert res == {}
d1 = {"a": Decimal("9.709999618320632")}
d2 = {"a": Decimal("9.710000038146973")}
ep = 0.00001
res = DeepDiff(d1, d2, math_epsilon=ep)
assert res == {}
d1 = {"a": Decimal("9.709999618320632")}
d2 = {"a": Decimal("9.710000038146973")}
ep = 0.000001
res = DeepDiff(d1, d2, math_epsilon=ep)
assert res == {}
d1 = {"a": Decimal("9.709999618320632")}
d2 = {"a": Decimal("9.710000038146973")}
ep = 0.0000001
res = DeepDiff(d1, d2, math_epsilon=ep)
expected = {
"values_changed": {
"root['a']": {
"new_value": Decimal("9.710000038146973"),
"old_value": Decimal("9.709999618320632"),
}
}
}
assert res == expected
def test_math_diff_ignore_order(self):
"""math_close will not work with ignore_order=true.
Items are hashed if order is ignored, that will not work."""
d1 = {"a": [Decimal("9.709999618320632"), Decimal("9.709999618320632")]}
d2 = {"a": [Decimal("9.710000038146973"), Decimal("9.709999618320632")]}
ep = 0.0001
res = DeepDiff(d1, d2, ignore_order=False, math_epsilon=ep)
assert res == {}
def test_math_diff_ignore_order_warning(self, caplog):
"""math_close will not work with ignore_order=true.
Items are hashed if order is ignored, that will not work."""
d1 = {"a": [Decimal("9.709999618320632"), Decimal("9.709999618320632")]}
d2 = {"a": [Decimal("9.710000038146973"), Decimal("9.709999618320632")]}
ep = 0.0001
res = DeepDiff(d1, d2, ignore_order=True, math_epsilon=ep)
expected = {
"iterable_item_added": {"root['a'][0]": Decimal("9.710000038146973")}
}
assert res == expected
# assert "math_epsilon will be ignored." in caplog.text
此处可能存在不合适展示的内容,页面不予展示。您可通过相关编辑功能自查并修改。
如您确认内容无涉及 不当用语 / 纯广告导流 / 暴力 / 低俗色情 / 侵权 / 盗版 / 虚假 / 无价值内容或违法国家有关法律法规的内容,可点击提交进行申诉,我们将尽快为您处理。