def test_save_as_dict():
c = Config.from_str(TEST_CONFIG)
d = Config(c.to_dict())
assert c == d
e = Config.from_str(TEST_CONFIG, interpolate=False)
f = Config(e.to_dict())
assert e == f
def test_dict_merging():
c = Config({"a": {"b": 1, "c": 42}})
c.update({"a": {"b": 123}})
assert c == {"a": {"b": 123, "c": 42}}
c = Config.from_str("""
[a]
x = 42
[b.c]
y = "asdf"
""")
c.update({"a": {"z": 1}}, merge_schema=True)
c.update({"b": {"d": 2}}, merge_schema=True)
assert c == {"a": {"x": 42, "z": 1}, "b": {"c": {"y": "asdf"}, "d": 2}}
def test_load_merging():
c = Config()
c.load_str("""
[a]
b = 1
[c]
d = "foo"
""")
with pytest.raises(ValidationError):
c.load_str("""
[a]
ab = "yeah"
[aa]
cd = "abba"
""")
assert c == {"a": {"b": 1}, "c": {"d": "foo"}}
c.load_str(
"""
[a]
ab = "yeah"
[aa]
cd = "abba"
""",
merge_schema=True,
)
assert c == {
"a": {
"b": 1,
"ab": "yeah"
},
"c": {
"d": "foo"
},
"aa": {
"cd": "abba"
}
}
def test_illegal_types():
with pytest.raises(TypeError):
Config({"x": {None: 2}})
with pytest.raises(TypeError):
Config({"x": b"ugh"})
with pytest.raises(TypeError):
Config({"x": dt.datetime.utcnow()})
with pytest.raises(TypeError):
Config({"x": dt.timedelta(days=1)})
with pytest.raises(TypeError):
Config({"x": Decimal("3.3")})
with pytest.raises(TypeError):
Config({"x": complex(1, 2)})
def test_2d_numpy_arrays(dtype):
value = np.ones((5, 5), dtype=dtype)
c = Config({"x": value})
assert isinstance(c.x, type(value.tolist())) and c.x == value.tolist()
assert_valid_json(c)
def test_numpy_scalars(dtype):
value = np.ones(1, dtype=dtype)[0]
c = Config({"x": value})
assert isinstance(c.x, type(value.item())) and c.x == value.item()
assert_valid_json(c)
def test_json_types(value):
c = Config({"x": value})
assert isinstance(c.x, type(value))
assert c.x == value or (isinstance(c.x, float) and isnan(c.x)
and isinstance(value, float) and isnan(value))
assert_valid_json(c)