# Deliberately use "from dataclasses import *". Every name in __all__
# is tested, so they all must be present. This is a way to catch
# missing ones.
from dataclasses import *
import pickle
import inspect
import builtins
import types
import unittest
from unittest.mock import Mock
from typing import ClassVar, Any, List, Union, Tuple, Dict, Generic, TypeVar, Optional, Protocol
from typing import get_type_hints
from collections import deque, OrderedDict, namedtuple
from functools import total_ordering
import typing # Needed for the string "typing.ClassVar[int]" to work as an annotation.
import dataclasses # Needed for the string "dataclasses.InitVar[int]" to work as an annotation.
# Just any custom exception we can catch.
class CustomError(Exception): pass
class TestCase(unittest.TestCase):
def test_no_fields(self):
@dataclass
class C:
pass
o = C()
self.assertEqual(len(fields(C)), 0)
def test_no_fields_but_member_variable(self):
@dataclass
class C:
i = 0
o = C()
self.assertEqual(len(fields(C)), 0)
def test_one_field_no_default(self):
@dataclass
class C:
x: int
o = C(42)
self.assertEqual(o.x, 42)
def test_field_default_default_factory_error(self):
msg = "cannot specify both default and default_factory"
with self.assertRaisesRegex(ValueError, msg):
@dataclass
class C:
x: int = field(default=1, default_factory=int)
def test_field_repr(self):
int_field = field(default=1, init=True, repr=False)
int_field.name = "id"
repr_output = repr(int_field)
expected_output = "Field(name='id',type=None," \
f"default=1,default_factory={MISSING!r}," \
"init=True,repr=False,hash=None," \
"compare=True,metadata=mappingproxy({})," \
"_field_type=None)"
self.assertEqual(repr_output, expected_output)
def test_named_init_params(self):
@dataclass
class C:
x: int
o = C(x=32)
self.assertEqual(o.x, 32)
def test_two_fields_one_default(self):
@dataclass
class C:
x: int
y: int = 0
o = C(3)
self.assertEqual((o.x, o.y), (3, 0))
# Non-defaults following defaults.
with self.assertRaisesRegex(TypeError,
"non-default argument 'y' follows "
"default argument"):
@dataclass
class C:
x: int = 0
y: int
# A derived class adds a non-default field after a default one.
with self.assertRaisesRegex(TypeError,
"non-default argument 'y' follows "
"default argument"):
@dataclass
class B:
x: int = 0
@dataclass
class C(B):
y: int
# Override a base class field and add a default to
# a field which didn't use to have a default.
with self.assertRaisesRegex(TypeError,
"non-default argument 'y' follows "
"default argument"):
@dataclass
class B:
x: int
y: int
@dataclass
class C(B):
x: int = 0
def test_overwrite_hash(self):
# Test that declaring this class isn't an error. It should
# use the user-provided __hash__.
@dataclass(frozen=True)
class C:
x: int
def __hash__(self):
return 301
self.assertEqual(hash(C(100)), 301)
# Test that declaring this class isn't an error. It should
# use the generated __hash__.
@dataclass(frozen=True)
class C:
x: int
def __eq__(self, other):
return False
self.assertEqual(hash(C(100)), hash((100,)))
# But this one should generate an exception, because with
# unsafe_hash=True, it's an error to have a __hash__ defined.
with self.assertRaisesRegex(TypeError,
'Cannot overwrite attribute __hash__'):
@dataclass(unsafe_hash=True)
class C:
def __hash__(self):
pass
# Creating this class should not generate an exception,
# because even though __hash__ exists before @dataclass is
# called, (due to __eq__ being defined), since it's None
# that's okay.
@dataclass(unsafe_hash=True)
class C:
x: int
def __eq__(self):
pass
# The generated hash function works as we'd expect.
self.assertEqual(hash(C(10)), hash((10,)))
# Creating this class should generate an exception, because
# __hash__ exists and is not None, which it would be if it
# had been auto-generated due to __eq__ being defined.
with self.assertRaisesRegex(TypeError,
'Cannot overwrite attribute __hash__'):
@dataclass(unsafe_hash=True)
class C:
x: int
def __eq__(self):
pass
def __hash__(self):
pass
def test_overwrite_fields_in_derived_class(self):
# Note that x from C1 replaces x in Base, but the order remains
# the same as defined in Base.
@dataclass
class Base:
x: Any = 15.0
y: int = 0
@dataclass
class C1(Base):
z: int = 10
x: int = 15
o = Base()
self.assertEqual(repr(o), 'TestCase.test_overwrite_fields_in_derived_class.<locals>.Base(x=15.0, y=0)')
o = C1()
self.assertEqual(repr(o), 'TestCase.test_overwrite_fields_in_derived_class.<locals>.C1(x=15, y=0, z=10)')
o = C1(x=5)
self.assertEqual(repr(o), 'TestCase.test_overwrite_fields_in_derived_class.<locals>.C1(x=5, y=0, z=10)')
def test_field_named_self(self):
@dataclass
class C:
self: str
c=C('foo')
self.assertEqual(c.self, 'foo')
# Make sure the first parameter is not named 'self'.
sig = inspect.signature(C.__init__)
first = next(iter(sig.parameters))
self.assertNotEqual('self', first)
# But we do use 'self' if no field named self.
@dataclass
class C:
selfx: str
# Make sure the first parameter is named 'self'.
sig = inspect.signature(C.__init__)
first = next(iter(sig.parameters))
self.assertEqual('self', first)
def test_field_named_object(self):
@dataclass
class C:
object: str
c = C('foo')
self.assertEqual(c.object, 'foo')
def test_field_named_object_frozen(self):
@dataclass(frozen=True)
class C:
object: str
c = C('foo')
self.assertEqual(c.object, 'foo')
def test_field_named_like_builtin(self):
# Attribute names can shadow built-in names
# since code generation is used.
# Ensure that this is not happening.
exclusions = {'None', 'True', 'False'}
builtins_names = sorted(
b for b in builtins.__dict__.keys()
if not b.startswith('__') and b not in exclusions
)
attributes = [(name, str) for name in builtins_names]
C = make_dataclass('C', attributes)
c = C(*[name for name in builtins_names])
for name in builtins_names:
self.assertEqual(getattr(c, name), name)
def test_field_named_like_builtin_frozen(self):
# Attribute names can shadow built-in names
# since code generation is used.
# Ensure that this is not happening
# for frozen data classes.
exclusions = {'None', 'True', 'False'}
builtins_names = sorted(
b for b in builtins.__dict__.keys()
if not b.startswith('__') and b not in exclusions
)
attributes = [(name, str) for name in builtins_names]
C = make_dataclass('C', attributes, frozen=True)
c = C(*[name for name in builtins_names])
for name in builtins_names:
self.assertEqual(getattr(c, name), name)
def test_0_field_compare(self):
# Ensure that order=False is the default.
@dataclass
class C0:
pass
@dataclass(order=False)
class C1:
pass
for cls in [C0, C1]:
with self.subTest(cls=cls):
self.assertEqual(cls(), cls())
for idx, fn in enumerate([lambda a, b: a < b,
lambda a, b: a <= b,
lambda a, b: a > b,
lambda a, b: a >= b]):
with self.subTest(idx=idx):
with self.assertRaisesRegex(TypeError,
f"not supported between instances of '{cls.__name__}' and '{cls.__name__}'"):
fn(cls(), cls())
@dataclass(order=True)
class C:
pass
self.assertLessEqual(C(), C())
self.assertGreaterEqual(C(), C())
def test_1_field_compare(self):
# Ensure that order=False is the default.
@dataclass
class C0:
x: int
@dataclass(order=False)
class C1:
x: int
for cls in [C0, C1]:
with self.subTest(cls=cls):
self.assertEqual(cls(1), cls(1))
self.assertNotEqual(cls(0), cls(1))
for idx, fn in enumerate([lambda a, b: a < b,
lambda a, b: a <= b,
lambda a, b: a > b,
lambda a, b: a >= b]):
with self.subTest(idx=idx):
with self.assertRaisesRegex(TypeError,
f"not supported between instances of '{cls.__name__}' and '{cls.__name__}'"):
fn(cls(0), cls(0))
@dataclass(order=True)
class C:
x: int
self.assertLess(C(0), C(1))
self.assertLessEqual(C(0), C(1))
self.assertLessEqual(C(1), C(1))
self.assertGreater(C(1), C(0))
self.assertGreaterEqual(C(1), C(0))
self.assertGreaterEqual(C(1), C(1))
def test_simple_compare(self):
# Ensure that order=False is the default.
@dataclass
class C0:
x: int
y: int
@dataclass(order=False)
class C1:
x: int
y: int
for cls in [C0, C1]:
with self.subTest(cls=cls):
self.assertEqual(cls(0, 0), cls(0, 0))
self.assertEqual(cls(1, 2), cls(1, 2))
self.assertNotEqual(cls(1, 0), cls(0, 0))
self.assertNotEqual(cls(1, 0), cls(1, 1))
for idx, fn in enumerate([lambda a, b: a < b,
lambda a, b: a <= b,
lambda a, b: a > b,
lambda a, b: a >= b]):
with self.subTest(idx=idx):
with self.assertRaisesRegex(TypeError,
f"not supported between instances of '{cls.__name__}' and '{cls.__name__}'"):
fn(cls(0, 0), cls(0, 0))
@dataclass(order=True)
class C:
x: int
y: int
for idx, fn in enumerate([lambda a, b: a == b,
lambda a, b: a <= b,
lambda a, b: a >= b]):
with self.subTest(idx=idx):
self.assertTrue(fn(C(0, 0), C(0, 0)))
for idx, fn in enumerate([lambda a, b: a < b,
lambda a, b: a <= b,
lambda a, b: a != b]):
with self.subTest(idx=idx):
self.assertTrue(fn(C(0, 0), C(0, 1)))
self.assertTrue(fn(C(0, 1), C(1, 0)))
self.assertTrue(fn(C(1, 0), C(1, 1)))
for idx, fn in enumerate([lambda a, b: a > b,
lambda a, b: a >= b,
lambda a, b: a != b]):
with self.subTest(idx=idx):
self.assertTrue(fn(C(0, 1), C(0, 0)))
self.assertTrue(fn(C(1, 0), C(0, 1)))
self.assertTrue(fn(C(1, 1), C(1, 0)))
def test_compare_subclasses(self):
# Comparisons fail for subclasses, even if no fields
# are added.
@dataclass
class B:
i: int
@dataclass
class C(B):
pass
for idx, (fn, expected) in enumerate([(lambda a, b: a == b, False),
(lambda a, b: a != b, True)]):
with self.subTest(idx=idx):
self.assertEqual(fn(B(0), C(0)), expected)
for idx, fn in enumerate([lambda a, b: a < b,
lambda a, b: a <= b,
lambda a, b: a > b,
lambda a, b: a >= b]):
with self.subTest(idx=idx):
with self.assertRaisesRegex(TypeError,
"not supported between instances of 'B' and 'C'"):
fn(B(0), C(0))
def test_eq_order(self):
# Test combining eq and order.
for (eq, order, result ) in [
(False, False, 'neither'),
(False, True, 'exception'),
(True, False, 'eq_only'),
(True, True, 'both'),
]:
with self.subTest(eq=eq, order=order):
if result == 'exception':
with self.assertRaisesRegex(ValueError, 'eq must be true if order is true'):
@dataclass(eq=eq, order=order)
class C:
pass
else:
@dataclass(eq=eq, order=order)
class C:
pass
if result == 'neither':
self.assertNotIn('__eq__', C.__dict__)
self.assertNotIn('__lt__', C.__dict__)
self.assertNotIn('__le__', C.__dict__)
self.assertNotIn('__gt__', C.__dict__)
self.assertNotIn('__ge__', C.__dict__)
elif result == 'both':
self.assertIn('__eq__', C.__dict__)
self.assertIn('__lt__', C.__dict__)
self.assertIn('__le__', C.__dict__)
self.assertIn('__gt__', C.__dict__)
self.assertIn('__ge__', C.__dict__)
elif result == 'eq_only':
self.assertIn('__eq__', C.__dict__)
self.assertNotIn('__lt__', C.__dict__)
self.assertNotIn('__le__', C.__dict__)
self.assertNotIn('__gt__', C.__dict__)
self.assertNotIn('__ge__', C.__dict__)
else:
assert False, f'unknown result {result!r}'
def test_field_no_default(self):
@dataclass
class C:
x: int = field()
self.assertEqual(C(5).x, 5)
with self.assertRaisesRegex(TypeError,
r"__init__\(\) missing 1 required "
"positional argument: 'x'"):
C()
def test_field_default(self):
default = object()
@dataclass
class C:
x: object = field(default=default)
self.assertIs(C.x, default)
c = C(10)
self.assertEqual(c.x, 10)
# If we delete the instance attribute, we should then see the
# class attribute.
del c.x
self.assertIs(c.x, default)
self.assertIs(C().x, default)
def test_not_in_repr(self):
@dataclass
class C:
x: int = field(repr=False)
with self.assertRaises(TypeError):
C()
c = C(10)
self.assertEqual(repr(c), 'TestCase.test_not_in_repr.<locals>.C()')
@dataclass
class C:
x: int = field(repr=False)
y: int
c = C(10, 20)
self.assertEqual(repr(c), 'TestCase.test_not_in_repr.<locals>.C(y=20)')
def test_not_in_compare(self):
@dataclass
class C:
x: int = 0
y: int = field(compare=False, default=4)
self.assertEqual(C(), C(0, 20))
self.assertEqual(C(1, 10), C(1, 20))
self.assertNotEqual(C(3), C(4, 10))
self.assertNotEqual(C(3, 10), C(4, 10))
def test_hash_field_rules(self):
# Test all 6 cases of:
# hash=True/False/None
# compare=True/False
for (hash_, compare, result ) in [
(True, False, 'field' ),
(True, True, 'field' ),
(False, False, 'absent'),
(False, True, 'absent'),
(None, False, 'absent'),
(None, True, 'field' ),
]:
with self.subTest(hash=hash_, compare=compare):
@dataclass(unsafe_hash=True)
class C:
x: int = field(compare=compare, hash=hash_, default=5)
if result == 'field':
# __hash__ contains the field.
self.assertEqual(hash(C(5)), hash((5,)))
elif result == 'absent':
# The field is not present in the hash.
self.assertEqual(hash(C(5)), hash(()))
else:
assert False, f'unknown result {result!r}'
def test_init_false_no_default(self):
# If init=False and no default value, then the field won't be
# present in the instance.
@dataclass
class C:
x: int = field(init=False)
self.assertNotIn('x', C().__dict__)
@dataclass
class C:
x: int
y: int = 0
z: int = field(init=False)
t: int = 10
self.assertNotIn('z', C(0).__dict__)
self.assertEqual(vars(C(5)), {'t': 10, 'x': 5, 'y': 0})
def test_class_marker(self):
@dataclass
class C:
x: int
y: str = field(init=False, default=None)
z: str = field(repr=False)
the_fields = fields(C)
# the_fields is a tuple of 3 items, each value
# is in __annotations__.
self.assertIsInstance(the_fields, tuple)
for f in the_fields:
self.assertIs(type(f), Field)
self.assertIn(f.name, C.__annotations__)
self.assertEqual(len(the_fields), 3)
self.assertEqual(the_fields[0].name, 'x')
self.assertEqual(the_fields[0].type, int)
self.assertFalse(hasattr(C, 'x'))
self.assertTrue (the_fields[0].init)
self.assertTrue (the_fields[0].repr)
self.assertEqual(the_fields[1].name, 'y')
self.assertEqual(the_fields[1].type, str)
self.assertIsNone(getattr(C, 'y'))
self.assertFalse(the_fields[1].init)
self.assertTrue (the_fields[1].repr)
self.assertEqual(the_fields[2].name, 'z')
self.assertEqual(the_fields[2].type, str)
self.assertFalse(hasattr(C, 'z'))
self.assertTrue (the_fields[2].init)
self.assertFalse(the_fields[2].repr)
def test_field_order(self):
@dataclass
class B:
a: str = 'B:a'
b: str = 'B:b'
c: str = 'B:c'
@dataclass
class C(B):
b: str = 'C:b'
self.assertEqual([(f.name, f.default) for f in fields(C)],
[('a', 'B:a'),
('b', 'C:b'),
('c', 'B:c')])
@dataclass
class D(B):
c: str = 'D:c'
self.assertEqual([(f.name, f.default) for f in fields(D)],
[('a', 'B:a'),
('b', 'B:b'),
('c', 'D:c')])
@dataclass
class E(D):
a: str = 'E:a'
d: str = 'E:d'
self.assertEqual([(f.name, f.default) for f in fields(E)],
[('a', 'E:a'),
('b', 'B:b'),
('c', 'D:c'),
('d', 'E:d')])
def test_class_attrs(self):
# We only have a class attribute if a default value is
# specified, either directly or via a field with a default.
default = object()
@dataclass
class C:
x: int
y: int = field(repr=False)
z: object = default
t: int = field(default=100)
self.assertFalse(hasattr(C, 'x'))
self.assertFalse(hasattr(C, 'y'))
self.assertIs (C.z, default)
self.assertEqual(C.t, 100)
def test_disallowed_mutable_defaults(self):
# For the known types, don't allow mutable default values.
for typ, empty, non_empty in [(list, [], [1]),
(dict, {}, {0:1}),
(set, set(), set([1])),
]:
with self.subTest(typ=typ):
# Can't use a zero-length value.
with self.assertRaisesRegex(ValueError,
f'mutable default {typ} for field '
'x is not allowed'):
@dataclass
class Point:
x: typ = empty
# Nor a non-zero-length value
with self.assertRaisesRegex(ValueError,
f'mutable default {typ} for field '
'y is not allowed'):
@dataclass
class Point:
y: typ = non_empty
# Check subtypes also fail.
class Subclass(typ): pass
with self.assertRaisesRegex(ValueError,
f"mutable default .*Subclass'>"
' for field z is not allowed'
):
@dataclass
class Point:
z: typ = Subclass()
# Because this is a ClassVar, it can be mutable.
@dataclass
class C:
z: ClassVar[typ] = typ()
# Because this is a ClassVar, it can be mutable.
@dataclass
class C:
x: ClassVar[typ] = Subclass()
def test_deliberately_mutable_defaults(self):
# If a mutable default isn't in the known list of
# (list, dict, set), then it's okay.
class Mutable:
def __init__(self):
self.l = []
@dataclass
class C:
x: Mutable
# These 2 instances will share this value of x.
lst = Mutable()
o1 = C(lst)
o2 = C(lst)
self.assertEqual(o1, o2)
o1.x.l.extend([1, 2])
self.assertEqual(o1, o2)
self.assertEqual(o1.x.l, [1, 2])
self.assertIs(o1.x, o2.x)
def test_no_options(self):
# Call with dataclass().
@dataclass()
class C:
x: int
self.assertEqual(C(42).x, 42)
def test_not_tuple(self):
# Make sure we can't be compared to a tuple.
@dataclass
class Point:
x: int
y: int
self.assertNotEqual(Point(1, 2), (1, 2))
# And that we can't compare to another unrelated dataclass.
@dataclass
class C:
x: int
y: int
self.assertNotEqual(Point(1, 3), C(1, 3))
def test_not_other_dataclass(self):
# Test that some of the problems with namedtuple don't happen
# here.
@dataclass
class Point3D:
x: int
y: int
z: int
@dataclass
class Date:
year: int
month: int
day: int
self.assertNotEqual(Point3D(2017, 6, 3), Date(2017, 6, 3))
self.assertNotEqual(Point3D(1, 2, 3), (1, 2, 3))
# Make sure we can't unpack.
with self.assertRaisesRegex(TypeError, 'unpack'):
x, y, z = Point3D(4, 5, 6)
# Make sure another class with the same field names isn't
# equal.
@dataclass
class Point3Dv1:
x: int = 0
y: int = 0
z: int = 0
self.assertNotEqual(Point3D(0, 0, 0), Point3Dv1())
def test_function_annotations(self):
# Some dummy class and instance to use as a default.
class F:
pass
f = F()
def validate_class(cls):
# First, check __annotations__, even though they're not
# function annotations.
self.assertEqual(cls.__annotations__['i'], int)
self.assertEqual(cls.__annotations__['j'], str)
self.assertEqual(cls.__annotations__['k'], F)
self.assertEqual(cls.__annotations__['l'], float)
self.assertEqual(cls.__annotations__['z'], complex)
# Verify __init__.
signature = inspect.signature(cls.__init__)
# Check the return type, should be None.
self.assertIs(signature.return_annotation, None)
# Check each parameter.
params = iter(signature.parameters.values())
param = next(params)
# This is testing an internal name, and probably shouldn't be tested.
self.assertEqual(param.name, 'self')
param = next(params)
self.assertEqual(param.name, 'i')
self.assertIs (param.annotation, int)
self.assertEqual(param.default, inspect.Parameter.empty)
self.assertEqual(param.kind, inspect.Parameter.POSITIONAL_OR_KEYWORD)
param = next(params)
self.assertEqual(param.name, 'j')
self.assertIs (param.annotation, str)
self.assertEqual(param.default, inspect.Parameter.empty)
self.assertEqual(param.kind, inspect.Parameter.POSITIONAL_OR_KEYWORD)
param = next(params)
self.assertEqual(param.name, 'k')
self.assertIs (param.annotation, F)
# Don't test for the default, since it's set to MISSING.
self.assertEqual(param.kind, inspect.Parameter.POSITIONAL_OR_KEYWORD)
param = next(params)
self.assertEqual(param.name, 'l')
self.assertIs (param.annotation, float)
# Don't test for the default, since it's set to MISSING.
self.assertEqual(param.kind, inspect.Parameter.POSITIONAL_OR_KEYWORD)
self.assertRaises(StopIteration, next, params)
@dataclass
class C:
i: int
j: str
k: F = f
l: float=field(default=None)
z: complex=field(default=3+4j, init=False)
validate_class(C)
# Now repeat with __hash__.
@dataclass(frozen=True, unsafe_hash=True)
class C:
i: int
j: str
k: F = f
l: float=field(default=None)
z: complex=field(default=3+4j, init=False)
validate_class(C)
def test_missing_default(self):
# Test that MISSING works the same as a default not being
# specified.
@dataclass
class C:
x: int=field(default=MISSING)
with self.assertRaisesRegex(TypeError,
r'__init__\(\) missing 1 required '
'positional argument'):
C()
self.assertNotIn('x', C.__dict__)
@dataclass
class D:
x: int
with self.assertRaisesRegex(TypeError,
r'__init__\(\) missing 1 required '
'positional argument'):
D()
self.assertNotIn('x', D.__dict__)
def test_missing_default_factory(self):
# Test that MISSING works the same as a default factory not
# being specified (which is really the same as a default not
# being specified, too).
@dataclass
class C:
x: int=field(default_factory=MISSING)
with self.assertRaisesRegex(TypeError,
r'__init__\(\) missing 1 required '
'positional argument'):
C()
self.assertNotIn('x', C.__dict__)
@dataclass
class D:
x: int=field(default=MISSING, default_factory=MISSING)
with self.assertRaisesRegex(TypeError,
r'__init__\(\) missing 1 required '
'positional argument'):
D()
self.assertNotIn('x', D.__dict__)
def test_missing_repr(self):
self.assertIn('MISSING_TYPE object', repr(MISSING))
def test_dont_include_other_annotations(self):
@dataclass
class C:
i: int
def foo(self) -> int:
return 4
@property
def bar(self) -> int:
return 5
self.assertEqual(list(C.__annotations__), ['i'])
self.assertEqual(C(10).foo(), 4)
self.assertEqual(C(10).bar, 5)
self.assertEqual(C(10).i, 10)
def test_post_init(self):
# Just make sure it gets called
@dataclass
class C:
def __post_init__(self):
raise CustomError()
with self.assertRaises(CustomError):
C()
@dataclass
class C:
i: int = 10
def __post_init__(self):
if self.i == 10:
raise CustomError()
with self.assertRaises(CustomError):
C()
# post-init gets called, but doesn't raise. This is just
# checking that self is used correctly.
C(5)
# If there's not an __init__, then post-init won't get called.
@dataclass(init=False)
class C:
def __post_init__(self):
raise CustomError()
# Creating the class won't raise
C()
@dataclass
class C:
x: int = 0
def __post_init__(self):
self.x *= 2
self.assertEqual(C().x, 0)
self.assertEqual(C(2).x, 4)
# Make sure that if we're frozen, post-init can't set
# attributes.
@dataclass(frozen=True)
class C:
x: int = 0
def __post_init__(self):
self.x *= 2
with self.assertRaises(FrozenInstanceError):
C()
def test_post_init_super(self):
# Make sure super() post-init isn't called by default.
class B:
def __post_init__(self):
raise CustomError()
@dataclass
class C(B):
def __post_init__(self):
self.x = 5
self.assertEqual(C().x, 5)
# Now call super(), and it will raise.
@dataclass
class C(B):
def __post_init__(self):
super().__post_init__()
with self.assertRaises(CustomError):
C()
# Make sure post-init is called, even if not defined in our
# class.
@dataclass
class C(B):
pass
with self.assertRaises(CustomError):
C()
def test_post_init_staticmethod(self):
flag = False
@dataclass
class C:
x: int
y: int
@staticmethod
def __post_init__():
nonlocal flag
flag = True
self.assertFalse(flag)
c = C(3, 4)
self.assertEqual((c.x, c.y), (3, 4))
self.assertTrue(flag)
def test_post_init_classmethod(self):
@dataclass
class C:
flag = False
x: int
y: int
@classmethod
def __post_init__(cls):
cls.flag = True
self.assertFalse(C.flag)
c = C(3, 4)
self.assertEqual((c.x, c.y), (3, 4))
self.assertTrue(C.flag)
def test_class_var(self):
# Make sure ClassVars are ignored in __init__, __repr__, etc.
@dataclass
class C:
x: int
y: int = 10
z: ClassVar[int] = 1000
w: ClassVar[int] = 2000
t: ClassVar[int] = 3000
s: ClassVar = 4000
c = C(5)
self.assertEqual(repr(c), 'TestCase.test_class_var.<locals>.C(x=5, y=10)')
self.assertEqual(len(fields(C)), 2) # We have 2 fields.
self.assertEqual(len(C.__annotations__), 6) # And 4 ClassVars.
self.assertEqual(c.z, 1000)
self.assertEqual(c.w, 2000)
self.assertEqual(c.t, 3000)
self.assertEqual(c.s, 4000)
C.z += 1
self.assertEqual(c.z, 1001)
c = C(20)
self.assertEqual((c.x, c.y), (20, 10))
self.assertEqual(c.z, 1001)
self.assertEqual(c.w, 2000)
self.assertEqual(c.t, 3000)
self.assertEqual(c.s, 4000)
def test_class_var_no_default(self):
# If a ClassVar has no default value, it should not be set on the class.
@dataclass
class C:
x: ClassVar[int]
self.assertNotIn('x', C.__dict__)
def test_class_var_default_factory(self):
# It makes no sense for a ClassVar to have a default factory. When
# would it be called? Call it yourself, since it's class-wide.
with self.assertRaisesRegex(TypeError,
'cannot have a default factory'):
@dataclass
class C:
x: ClassVar[int] = field(default_factory=int)
self.assertNotIn('x', C.__dict__)
def test_class_var_with_default(self):
# If a ClassVar has a default value, it should be set on the class.
@dataclass
class C:
x: ClassVar[int] = 10
self.assertEqual(C.x, 10)
@dataclass
class C:
x: ClassVar[int] = field(default=10)
self.assertEqual(C.x, 10)
def test_class_var_frozen(self):
# Make sure ClassVars work even if we're frozen.
@dataclass(frozen=True)
class C:
x: int
y: int = 10
z: ClassVar[int] = 1000
w: ClassVar[int] = 2000
t: ClassVar[int] = 3000
c = C(5)
self.assertEqual(repr(C(5)), 'TestCase.test_class_var_frozen.<locals>.C(x=5, y=10)')
self.assertEqual(len(fields(C)), 2) # We have 2 fields
self.assertEqual(len(C.__annotations__), 5) # And 3 ClassVars
self.assertEqual(c.z, 1000)
self.assertEqual(c.w, 2000)
self.assertEqual(c.t, 3000)
# We can still modify the ClassVar, it's only instances that are
# frozen.
C.z += 1
self.assertEqual(c.z, 1001)
c = C(20)
self.assertEqual((c.x, c.y), (20, 10))
self.assertEqual(c.z, 1001)
self.assertEqual(c.w, 2000)
self.assertEqual(c.t, 3000)
def test_init_var_no_default(self):
# If an InitVar has no default value, it should not be set on the class.
@dataclass
class C:
x: InitVar[int]
self.assertNotIn('x', C.__dict__)
def test_init_var_default_factory(self):
# It makes no sense for an InitVar to have a default factory. When
# would it be called? Call it yourself, since it's class-wide.
with self.assertRaisesRegex(TypeError,
'cannot have a default factory'):
@dataclass
class C:
x: InitVar[int] = field(default_factory=int)
self.assertNotIn('x', C.__dict__)
def test_init_var_with_default(self):
# If an InitVar has a default value, it should be set on the class.
@dataclass
class C:
x: InitVar[int] = 10
self.assertEqual(C.x, 10)
@dataclass
class C:
x: InitVar[int] = field(default=10)
self.assertEqual(C.x, 10)
def test_init_var(self):
@dataclass
class C:
x: int = None
init_param: InitVar[int] = None
def __post_init__(self, init_param):
if self.x is None:
self.x = init_param*2
c = C(init_param=10)
self.assertEqual(c.x, 20)
def test_init_var_preserve_type(self):
self.assertEqual(InitVar[int].type, int)
# Make sure the repr is correct.
self.assertEqual(repr(InitVar[int]), 'dataclasses.InitVar[int]')
self.assertEqual(repr(InitVar[List[int]]),
'dataclasses.InitVar[typing.List[int]]')
self.assertEqual(repr(InitVar[list[int]]),
'dataclasses.InitVar[list[int]]')
def test_init_var_inheritance(self):
# Note that this deliberately tests that a dataclass need not
# have a __post_init__ function if it has an InitVar field.
# It could just be used in a derived class, as shown here.
@dataclass
class Base:
x: int
init_base: InitVar[int]
# We can instantiate by passing the InitVar, even though
# it's not used.
b = Base(0, 10)
self.assertEqual(vars(b), {'x': 0})
@dataclass
class C(Base):
y: int
init_derived: InitVar[int]
def __post_init__(self, init_base, init_derived):
self.x = self.x + init_base
self.y = self.y + init_derived
c = C(10, 11, 50, 51)
self.assertEqual(vars(c), {'x': 21, 'y': 101})
def test_default_factory(self):
# Test a factory that returns a new list.
@dataclass
class C:
x: int
y: list = field(default_factory=list)
c0 = C(3)
c1 = C(3)
self.assertEqual(c0.x, 3)
self.assertEqual(c0.y, [])
self.assertEqual(c0, c1)
self.assertIsNot(c0.y, c1.y)
self.assertEqual(astuple(C(5, [1])), (5, [1]))
# Test a factory that returns a shared list.
l = []
@dataclass
class C:
x: int
y: list = field(default_factory=lambda: l)
c0 = C(3)
c1 = C(3)
self.assertEqual(c0.x, 3)
self.assertEqual(c0.y, [])
self.assertEqual(c0, c1)
self.assertIs(c0.y, c1.y)
self.assertEqual(astuple(C(5, [1])), (5, [1]))
# Test various other field flags.
# repr
@dataclass
class C:
x: list = field(default_factory=list, repr=False)
self.assertEqual(repr(C()), 'TestCase.test_default_factory.<locals>.C()')
self.assertEqual(C().x, [])
# hash
@dataclass(unsafe_hash=True)
class C:
x: list = field(default_factory=list, hash=False)
self.assertEqual(astuple(C()), ([],))
self.assertEqual(hash(C()), hash(()))
# init (see also test_default_factory_with_no_init)
@dataclass
class C:
x: list = field(default_factory=list, init=False)
self.assertEqual(astuple(C()), ([],))
# compare
@dataclass
class C:
x: list = field(default_factory=list, compare=False)
self.assertEqual(C(), C([1]))
def test_default_factory_with_no_init(self):
# We need a factory with a side effect.
factory = Mock()
@dataclass
class C:
x: list = field(default_factory=factory, init=False)
# Make sure the default factory is called for each new instance.
C().x
self.assertEqual(factory.call_count, 1)
C().x
self.assertEqual(factory.call_count, 2)
def test_default_factory_not_called_if_value_given(self):
# We need a factory that we can test if it's been called.
factory = Mock()
@dataclass
class C:
x: int = field(default_factory=factory)
# Make sure that if a field has a default factory function,
# it's not called if a value is specified.
C().x
self.assertEqual(factory.call_count, 1)
self.assertEqual(C(10).x, 10)
self.assertEqual(factory.call_count, 1)
C().x
self.assertEqual(factory.call_count, 2)
def test_default_factory_derived(self):
# See bpo-32896.
@dataclass
class Foo:
x: dict = field(default_factory=dict)
@dataclass
class Bar(Foo):
y: int = 1
self.assertEqual(Foo().x, {})
self.assertEqual(Bar().x, {})
self.assertEqual(Bar().y, 1)
@dataclass
class Baz(Foo):
pass
self.assertEqual(Baz().x, {})
def test_intermediate_non_dataclass(self):
# Test that an intermediate class that defines
# annotations does not define fields.
@dataclass
class A:
x: int
class B(A):
y: int
@dataclass
class C(B):
z: int
c = C(1, 3)
self.assertEqual((c.x, c.z), (1, 3))
# .y was not initialized.
with self.assertRaisesRegex(AttributeError,
'object has no attribute'):
c.y
# And if we again derive a non-dataclass, no fields are added.
class D(C):
t: int
d = D(4, 5)
self.assertEqual((d.x, d.z), (4, 5))
def test_classvar_default_factory(self):
# It's an error for a ClassVar to have a factory function.
with self.assertRaisesRegex(TypeError,
'cannot have a default factory'):
@dataclass
class C:
x: ClassVar[int] = field(default_factory=int)
def test_is_dataclass(self):
class NotDataClass:
pass
self.assertFalse(is_dataclass(0))
self.assertFalse(is_dataclass(int))
self.assertFalse(is_dataclass(NotDataClass))
self.assertFalse(is_dataclass(NotDataClass()))
@dataclass
class C:
x: int
@dataclass
class D:
d: C
e: int
c = C(10)
d = D(c, 4)
self.assertTrue(is_dataclass(C))
self.assertTrue(is_dataclass(c))
self.assertFalse(is_dataclass(c.x))
self.assertTrue(is_dataclass(d.d))
self.assertFalse(is_dataclass(d.e))
def test_is_dataclass_when_getattr_always_returns(self):
# See bpo-37868.
class A:
def __getattr__(self, key):
return 0
self.assertFalse(is_dataclass(A))
a = A()
# Also test for an instance attribute.
class B:
pass
b = B()
b.__dataclass_fields__ = []
for obj in a, b:
with self.subTest(obj=obj):
self.assertFalse(is_dataclass(obj))
# Indirect tests for _is_dataclass_instance().
with self.assertRaisesRegex(TypeError, 'should be called on dataclass instances'):
asdict(obj)
with self.assertRaisesRegex(TypeError, 'should be called on dataclass instances'):
astuple(obj)
with self.assertRaisesRegex(TypeError, 'should be called on dataclass instances'):
replace(obj, x=0)
def test_is_dataclass_genericalias(self):
@dataclass
class A(types.GenericAlias):
origin: type
args: type
self.assertTrue(is_dataclass(A))
a = A(list, int)
self.assertTrue(is_dataclass(type(a)))
self.assertTrue(is_dataclass(a))
def test_helper_fields_with_class_instance(self):
# Check that we can call fields() on either a class or instance,
# and get back the same thing.
@dataclass
class C:
x: int
y: float
self.assertEqual(fields(C), fields(C(0, 0.0)))
def test_helper_fields_exception(self):
# Check that TypeError is raised if not passed a dataclass or
# instance.
with self.assertRaisesRegex(TypeError, 'dataclass type or instance'):
fields(0)
class C: pass
with self.assertRaisesRegex(TypeError, 'dataclass type or instance'):
fields(C)
with self.assertRaisesRegex(TypeError, 'dataclass type or instance'):
fields(C())
def test_helper_asdict(self):
# Basic tests for asdict(), it should return a new dictionary.
@dataclass
class C:
x: int
y: int
c = C(1, 2)
self.assertEqual(asdict(c), {'x': 1, 'y': 2})
self.assertEqual(asdict(c), asdict(c))
self.assertIsNot(asdict(c), asdict(c))
c.x = 42
self.assertEqual(asdict(c), {'x': 42, 'y': 2})
self.assertIs(type(asdict(c)), dict)
def test_helper_asdict_raises_on_classes(self):
# asdict() should raise on a class object.
@dataclass
class C:
x: int
y: int
with self.assertRaisesRegex(TypeError, 'dataclass instance'):
asdict(C)
with self.assertRaisesRegex(TypeError, 'dataclass instance'):
asdict(int)
def test_helper_asdict_copy_values(self):
@dataclass
class C:
x: int
y: List[int] = field(default_factory=list)
initial = []
c = C(1, initial)
d = asdict(c)
self.assertEqual(d['y'], initial)
self.assertIsNot(d['y'], initial)
c = C(1)
d = asdict(c)
d['y'].append(1)
self.assertEqual(c.y, [])
def test_helper_asdict_nested(self):
@dataclass
class UserId:
token: int
group: int
@dataclass
class User:
name: str
id: UserId
u = User('Joe', UserId(123, 1))
d = asdict(u)
self.assertEqual(d, {'name': 'Joe', 'id': {'token': 123, 'group': 1}})
self.assertIsNot(asdict(u), asdict(u))
u.id.group = 2
self.assertEqual(asdict(u), {'name': 'Joe',
'id': {'token': 123, 'group': 2}})
def test_helper_asdict_builtin_containers(self):
@dataclass
class User:
name: str
id: int
@dataclass
class GroupList:
id: int
users: List[User]
@dataclass
class GroupTuple:
id: int
users: Tuple[User, ...]
@dataclass
class GroupDict:
id: int
users: Dict[str, User]
a = User('Alice', 1)
b = User('Bob', 2)
gl = GroupList(0, [a, b])
gt = GroupTuple(0, (a, b))
gd = GroupDict(0, {'first': a, 'second': b})
self.assertEqual(asdict(gl), {'id': 0, 'users': [{'name': 'Alice', 'id': 1},
{'name': 'Bob', 'id': 2}]})
self.assertEqual(asdict(gt), {'id': 0, 'users': ({'name': 'Alice', 'id': 1},
{'name': 'Bob', 'id': 2})})
self.assertEqual(asdict(gd), {'id': 0, 'users': {'first': {'name': 'Alice', 'id': 1},
'second': {'name': 'Bob', 'id': 2}}})
def test_helper_asdict_builtin_object_containers(self):
@dataclass
class Child:
d: object
@dataclass
class Parent:
child: Child
self.assertEqual(asdict(Parent(Child([1]))), {'child': {'d': [1]}})
self.assertEqual(asdict(Parent(Child({1: 2}))), {'child': {'d': {1: 2}}})
def test_helper_asdict_factory(self):
@dataclass
class C:
x: int
y: int
c = C(1, 2)
d = asdict(c, dict_factory=OrderedDict)
self.assertEqual(d, OrderedDict([('x', 1), ('y', 2)]))
self.assertIsNot(d, asdict(c, dict_factory=OrderedDict))
c.x = 42
d = asdict(c, dict_factory=OrderedDict)
self.assertEqual(d, OrderedDict([('x', 42), ('y', 2)]))
self.assertIs(type(d), OrderedDict)
def test_helper_asdict_namedtuple(self):
T = namedtuple('T', 'a b c')
@dataclass
class C:
x: str
y: T
c = C('outer', T(1, C('inner', T(11, 12, 13)), 2))
d = asdict(c)
self.assertEqual(d, {'x': 'outer',
'y': T(1,
{'x': 'inner',
'y': T(11, 12, 13)},
2),
}
)
# Now with a dict_factory. OrderedDict is convenient, but
# since it compares to dicts, we also need to have separate
# assertIs tests.
d = asdict(c, dict_factory=OrderedDict)
self.assertEqual(d, {'x': 'outer',
'y': T(1,
{'x': 'inner',
'y': T(11, 12, 13)},
2),
}
)
# Make sure that the returned dicts are actually OrderedDicts.
self.assertIs(type(d), OrderedDict)
self.assertIs(type(d['y'][1]), OrderedDict)
def test_helper_asdict_namedtuple_key(self):
# Ensure that a field that contains a dict which has a
# namedtuple as a key works with asdict().
@dataclass
class C:
f: dict
T = namedtuple('T', 'a')
c = C({T('an a'): 0})
self.assertEqual(asdict(c), {'f': {T(a='an a'): 0}})
def test_helper_asdict_namedtuple_derived(self):
class T(namedtuple('Tbase', 'a')):
def my_a(self):
return self.a
@dataclass
class C:
f: T
t = T(6)
c = C(t)
d = asdict(c)
self.assertEqual(d, {'f': T(a=6)})
# Make sure that t has been copied, not used directly.
self.assertIsNot(d['f'], t)
self.assertEqual(d['f'].my_a(), 6)
def test_helper_astuple(self):
# Basic tests for astuple(), it should return a new tuple.
@dataclass
class C:
x: int
y: int = 0
c = C(1)
self.assertEqual(astuple(c), (1, 0))
self.assertEqual(astuple(c), astuple(c))
self.assertIsNot(astuple(c), astuple(c))
c.y = 42
self.assertEqual(astuple(c), (1, 42))
self.assertIs(type(astuple(c)), tuple)
def test_helper_astuple_raises_on_classes(self):
# astuple() should raise on a class object.
@dataclass
class C:
x: int
y: int
with self.assertRaisesRegex(TypeError, 'dataclass instance'):
astuple(C)
with self.assertRaisesRegex(TypeError, 'dataclass instance'):
astuple(int)
def test_helper_astuple_copy_values(self):
@dataclass
class C:
x: int
y: List[int] = field(default_factory=list)
initial = []
c = C(1, initial)
t = astuple(c)
self.assertEqual(t[1], initial)
self.assertIsNot(t[1], initial)
c = C(1)
t = astuple(c)
t[1].append(1)
self.assertEqual(c.y, [])
def test_helper_astuple_nested(self):
@dataclass
class UserId:
token: int
group: int
@dataclass
class User:
name: str
id: UserId
u = User('Joe', UserId(123, 1))
t = astuple(u)
self.assertEqual(t, ('Joe', (123, 1)))
self.assertIsNot(astuple(u), astuple(u))
u.id.group = 2
self.assertEqual(astuple(u), ('Joe', (123, 2)))
def test_helper_astuple_builtin_containers(self):
@dataclass
class User:
name: str
id: int
@dataclass
class GroupList:
id: int
users: List[User]
@dataclass
class GroupTuple:
id: int
users: Tuple[User, ...]
@dataclass
class GroupDict:
id: int
users: Dict[str, User]
a = User('Alice', 1)
b = User('Bob', 2)
gl = GroupList(0, [a, b])
gt = GroupTuple(0, (a, b))
gd = GroupDict(0, {'first': a, 'second': b})
self.assertEqual(astuple(gl), (0, [('Alice', 1), ('Bob', 2)]))
self.assertEqual(astuple(gt), (0, (('Alice', 1), ('Bob', 2))))
self.assertEqual(astuple(gd), (0, {'first': ('Alice', 1), 'second': ('Bob', 2)}))
def test_helper_astuple_builtin_object_containers(self):
@dataclass
class Child:
d: object
@dataclass
class Parent:
child: Child
self.assertEqual(astuple(Parent(Child([1]))), (([1],),))
self.assertEqual(astuple(Parent(Child({1: 2}))), (({1: 2},),))
def test_helper_astuple_factory(self):
@dataclass
class C:
x: int
y: int
NT = namedtuple('NT', 'x y')
def nt(lst):
return NT(*lst)
c = C(1, 2)
t = astuple(c, tuple_factory=nt)
self.assertEqual(t, NT(1, 2))
self.assertIsNot(t, astuple(c, tuple_factory=nt))
c.x = 42
t = astuple(c, tuple_factory=nt)
self.assertEqual(t, NT(42, 2))
self.assertIs(type(t), NT)
def test_helper_astuple_namedtuple(self):
T = namedtuple('T', 'a b c')
@dataclass
class C:
x: str
y: T
c = C('outer', T(1, C('inner', T(11, 12, 13)), 2))
t = astuple(c)
self.assertEqual(t, ('outer', T(1, ('inner', (11, 12, 13)), 2)))
# Now, using a tuple_factory. list is convenient here.
t = astuple(c, tuple_factory=list)
self.assertEqual(t, ['outer', T(1, ['inner', T(11, 12, 13)], 2)])
def test_dynamic_class_creation(self):
cls_dict = {'__annotations__': {'x': int, 'y': int},
}
# Create the class.
cls = type('C', (), cls_dict)
# Make it a dataclass.
cls1 = dataclass(cls)
self.assertEqual(cls1, cls)
self.assertEqual(asdict(cls(1, 2)), {'x': 1, 'y': 2})
def test_dynamic_class_creation_using_field(self):
cls_dict = {'__annotations__': {'x': int, 'y': int},
'y': field(default=5),
}
# Create the class.
cls = type('C', (), cls_dict)
# Make it a dataclass.
cls1 = dataclass(cls)
self.assertEqual(cls1, cls)
self.assertEqual(asdict(cls1(1)), {'x': 1, 'y': 5})
def test_init_in_order(self):
@dataclass
class C:
a: int
b: int = field()
c: list = field(default_factory=list, init=False)
d: list = field(default_factory=list)
e: int = field(default=4, init=False)
f: int = 4
calls = []
def setattr(self, name, value):
calls.append((name, value))
C.__setattr__ = setattr
c = C(0, 1)
self.assertEqual(('a', 0), calls[0])
self.assertEqual(('b', 1), calls[1])
self.assertEqual(('c', []), calls[2])
self.assertEqual(('d', []), calls[3])
self.assertNotIn(('e', 4), calls)
self.assertEqual(('f', 4), calls[4])
def test_items_in_dicts(self):
@dataclass
class C:
a: int
b: list = field(default_factory=list, init=False)
c: list = field(default_factory=list)
d: int = field(default=4, init=False)
e: int = 0
c = C(0)
# Class dict
self.assertNotIn('a', C.__dict__)
self.assertNotIn('b', C.__dict__)
self.assertNotIn('c', C.__dict__)
self.assertIn('d', C.__dict__)
self.assertEqual(C.d, 4)
self.assertIn('e', C.__dict__)
self.assertEqual(C.e, 0)
# Instance dict
self.assertIn('a', c.__dict__)
self.assertEqual(c.a, 0)
self.assertIn('b', c.__dict__)
self.assertEqual(c.b, [])
self.assertIn('c', c.__dict__)
self.assertEqual(c.c, [])
self.assertNotIn('d', c.__dict__)
self.assertIn('e', c.__dict__)
self.assertEqual(c.e, 0)
def test_alternate_classmethod_constructor(self):
# Since __post_init__ can't take params, use a classmethod
# alternate constructor. This is mostly an example to show
# how to use this technique.
@dataclass
class C:
x: int
@classmethod
def from_file(cls, filename):
# In a real example, create a new instance
# and populate 'x' from contents of a file.
value_in_file = 20
return cls(value_in_file)
self.assertEqual(C.from_file('filename').x, 20)
def test_field_metadata_default(self):
# Make sure the default metadata is read-only and of
# zero length.
@dataclass
class C:
i: int
self.assertFalse(fields(C)[0].metadata)
self.assertEqual(len(fields(C)[0].metadata), 0)
with self.assertRaisesRegex(TypeError,
'does not support item assignment'):
fields(C)[0].metadata['test'] = 3
def test_field_metadata_mapping(self):
# Make sure only a mapping can be passed as metadata
# zero length.
with self.assertRaises(TypeError):
@dataclass
class C:
i: int = field(metadata=0)
# Make sure an empty dict works.
d = {}
@dataclass
class C:
i: int = field(metadata=d)
self.assertFalse(fields(C)[0].metadata)
self.assertEqual(len(fields(C)[0].metadata), 0)
# Update should work (see bpo-35960).
d['foo'] = 1
self.assertEqual(len(fields(C)[0].metadata), 1)
self.assertEqual(fields(C)[0].metadata['foo'], 1)
with self.assertRaisesRegex(TypeError,
'does not support item assignment'):
fields(C)[0].metadata['test'] = 3
# Make sure a non-empty dict works.
d = {'test': 10, 'bar': '42', 3: 'three'}
@dataclass
class C:
i: int = field(metadata=d)
self.assertEqual(len(fields(C)[0].metadata), 3)
self.assertEqual(fields(C)[0].metadata['test'], 10)
self.assertEqual(fields(C)[0].metadata['bar'], '42')
self.assertEqual(fields(C)[0].metadata[3], 'three')
# Update should work.
d['foo'] = 1
self.assertEqual(len(fields(C)[0].metadata), 4)
self.assertEqual(fields(C)[0].metadata['foo'], 1)
with self.assertRaises(KeyError):
# Non-existent key.
fields(C)[0].metadata['baz']
with self.assertRaisesRegex(TypeError,
'does not support item assignment'):
fields(C)[0].metadata['test'] = 3
def test_field_metadata_custom_mapping(self):
# Try a custom mapping.
class SimpleNameSpace:
def __init__(self, **kw):
self.__dict__.update(kw)
def __getitem__(self, item):
if item == 'xyzzy':
return 'plugh'
return getattr(self, item)
def __len__(self):
return self.__dict__.__len__()
@dataclass
class C:
i: int = field(metadata=SimpleNameSpace(a=10))
self.assertEqual(len(fields(C)[0].metadata), 1)
self.assertEqual(fields(C)[0].metadata['a'], 10)
with self.assertRaises(AttributeError):
fields(C)[0].metadata['b']
# Make sure we're still talking to our custom mapping.
self.assertEqual(fields(C)[0].metadata['xyzzy'], 'plugh')
def test_generic_dataclasses(self):
T = TypeVar('T')
@dataclass
class LabeledBox(Generic[T]):
content: T
label: str = '<unknown>'
box = LabeledBox(42)
self.assertEqual(box.content, 42)
self.assertEqual(box.label, '<unknown>')
# Subscripting the resulting class should work, etc.
Alias = List[LabeledBox[int]]
def test_generic_extending(self):
S = TypeVar('S')
T = TypeVar('T')
@dataclass
class Base(Generic[T, S]):
x: T
y: S
@dataclass
class DataDerived(Base[int, T]):
new_field: str
Alias = DataDerived[str]
c = Alias(0, 'test1', 'test2')
self.assertEqual(astuple(c), (0, 'test1', 'test2'))
class NonDataDerived(Base[int, T]):
def new_method(self):
return self.y
Alias = NonDataDerived[float]
c = Alias(10, 1.0)
self.assertEqual(c.new_method(), 1.0)
def test_generic_dynamic(self):
T = TypeVar('T')
@dataclass
class Parent(Generic[T]):
x: T
Child = make_dataclass('Child', [('y', T), ('z', Optional[T], None)],
bases=(Parent[int], Generic[T]), namespace={'other': 42})
self.assertIs(Child[int](1, 2).z, None)
self.assertEqual(Child[int](1, 2, 3).z, 3)
self.assertEqual(Child[int](1, 2, 3).other, 42)
# Check that type aliases work correctly.
Alias = Child[T]
self.assertEqual(Alias[int](1, 2).x, 1)
# Check MRO resolution.
self.assertEqual(Child.__mro__, (Child, Parent, Generic, object))
def test_dataclassses_pickleable(self):
global P, Q, R
@dataclass
class P:
x: int
y: int = 0
@dataclass
class Q:
x: int
y: int = field(default=0, init=False)
@dataclass
class R:
x: int
y: List[int] = field(default_factory=list)
q = Q(1)
q.y = 2
samples = [P(1), P(1, 2), Q(1), q, R(1), R(1, [2, 3, 4])]
for sample in samples:
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
with self.subTest(sample=sample, proto=proto):
new_sample = pickle.loads(pickle.dumps(sample, proto))
self.assertEqual(sample.x, new_sample.x)
self.assertEqual(sample.y, new_sample.y)
self.assertIsNot(sample, new_sample)
new_sample.x = 42
another_new_sample = pickle.loads(pickle.dumps(new_sample, proto))
self.assertEqual(new_sample.x, another_new_sample.x)
self.assertEqual(sample.y, another_new_sample.y)
class TestFieldNoAnnotation(unittest.TestCase):
def test_field_without_annotation(self):
with self.assertRaisesRegex(TypeError,
"'f' is a field but has no type annotation"):
@dataclass
class C:
f = field()
def test_field_without_annotation_but_annotation_in_base(self):
@dataclass
class B:
f: int
with self.assertRaisesRegex(TypeError,
"'f' is a field but has no type annotation"):
# This is still an error: make sure we don't pick up the
# type annotation in the base class.
@dataclass
class C(B):
f = field()
def test_field_without_annotation_but_annotation_in_base_not_dataclass(self):
# Same test, but with the base class not a dataclass.
class B:
f: int
with self.assertRaisesRegex(TypeError,
"'f' is a field but has no type annotation"):
# This is still an error: make sure we don't pick up the
# type annotation in the base class.
@dataclass
class C(B):
f = field()
class TestDocString(unittest.TestCase):
def assertDocStrEqual(self, a, b):
# Because 3.6 and 3.7 differ in how inspect.signature work
# (see bpo #32108), for the time being just compare them with
# whitespace stripped.
self.assertEqual(a.replace(' ', ''), b.replace(' ', ''))
def test_existing_docstring_not_overridden(self):
@dataclass
class C:
"""Lorem ipsum"""
x: int
self.assertEqual(C.__doc__, "Lorem ipsum")
def test_docstring_no_fields(self):
@dataclass
class C:
pass
self.assertDocStrEqual(C.__doc__, "C()")
def test_docstring_one_field(self):
@dataclass
class C:
x: int
self.assertDocStrEqual(C.__doc__, "C(x:int)")
def test_docstring_two_fields(self):
@dataclass
class C:
x: int
y: int
self.assertDocStrEqual(C.__doc__, "C(x:int, y:int)")
def test_docstring_three_fields(self):
@dataclass
class C:
x: int
y: int
z: str
self.assertDocStrEqual(C.__doc__, "C(x:int, y:int, z:str)")
def test_docstring_one_field_with_default(self):
@dataclass
class C:
x: int = 3
self.assertDocStrEqual(C.__doc__, "C(x:int=3)")
def test_docstring_one_field_with_default_none(self):
@dataclass
class C:
x: Union[int, type(None)] = None
self.assertDocStrEqual(C.__doc__, "C(x:Optional[int]=None)")
def test_docstring_list_field(self):
@dataclass
class C:
x: List[int]
self.assertDocStrEqual(C.__doc__, "C(x:List[int])")
def test_docstring_list_field_with_default_factory(self):
@dataclass
class C:
x: List[int] = field(default_factory=list)
self.assertDocStrEqual(C.__doc__, "C(x:List[int]=<factory>)")
def test_docstring_deque_field(self):
@dataclass
class C:
x: deque
self.assertDocStrEqual(C.__doc__, "C(x:collections.deque)")
def test_docstring_deque_field_with_default_factory(self):
@dataclass
class C:
x: deque = field(default_factory=deque)
self.assertDocStrEqual(C.__doc__, "C(x:collections.deque=<factory>)")
class TestInit(unittest.TestCase):
def test_base_has_init(self):
class B:
def __init__(self):
self.z = 100
pass
# Make sure that declaring this class doesn't raise an error.
# The issue is that we can't override __init__ in our class,
# but it should be okay to add __init__ to us if our base has
# an __init__.
@dataclass
class C(B):
x: int = 0
c = C(10)
self.assertEqual(c.x, 10)
self.assertNotIn('z', vars(c))
# Make sure that if we don't add an init, the base __init__
# gets called.
@dataclass(init=False)
class C(B):
x: int = 10
c = C()
self.assertEqual(c.x, 10)
self.assertEqual(c.z, 100)
def test_no_init(self):
dataclass(init=False)
class C:
i: int = 0
self.assertEqual(C().i, 0)
dataclass(init=False)
class C:
i: int = 2
def __init__(self):
self.i = 3
self.assertEqual(C().i, 3)
def test_overwriting_init(self):
# If the class has __init__, use it no matter the value of
# init=.
@dataclass
class C:
x: int
def __init__(self, x):
self.x = 2 * x
self.assertEqual(C(3).x, 6)
@dataclass(init=True)
class C:
x: int
def __init__(self, x):
self.x = 2 * x
self.assertEqual(C(4).x, 8)
@dataclass(init=False)
class C:
x: int
def __init__(self, x):
self.x = 2 * x
self.assertEqual(C(5).x, 10)
def test_inherit_from_protocol(self):
# Dataclasses inheriting from protocol should preserve their own `__init__`.
# See bpo-45081.
class P(Protocol):
a: int
@dataclass
class C(P):
a: int
self.assertEqual(C(5).a, 5)
@dataclass
class D(P):
def __init__(self, a):
self.a = a * 2
self.assertEqual(D(5).a, 10)
class TestRepr(unittest.TestCase):
def test_repr(self):
@dataclass
class B:
x: int
@dataclass
class C(B):
y: int = 10
o = C(4)
self.assertEqual(repr(o), 'TestRepr.test_repr.<locals>.C(x=4, y=10)')
@dataclass
class D(C):
x: int = 20
self.assertEqual(repr(D()), 'TestRepr.test_repr.<locals>.D(x=20, y=10)')
@dataclass
class C:
@dataclass
class D:
i: int
@dataclass
class E:
pass
self.assertEqual(repr(C.D(0)), 'TestRepr.test_repr.<locals>.C.D(i=0)')
self.assertEqual(repr(C.E()), 'TestRepr.test_repr.<locals>.C.E()')
def test_no_repr(self):
# Test a class with no __repr__ and repr=False.
@dataclass(repr=False)
class C:
x: int
self.assertIn(f'{__name__}.TestRepr.test_no_repr.<locals>.C object at',
repr(C(3)))
# Test a class with a __repr__ and repr=False.
@dataclass(repr=False)
class C:
x: int
def __repr__(self):
return 'C-class'
self.assertEqual(repr(C(3)), 'C-class')
def test_overwriting_repr(self):
# If the class has __repr__, use it no matter the value of
# repr=.
@dataclass
class C:
x: int
def __repr__(self):
return 'x'
self.assertEqual(repr(C(0)), 'x')
@dataclass(repr=True)
class C:
x: int
def __repr__(self):
return 'x'
self.assertEqual(repr(C(0)), 'x')
@dataclass(repr=False)
class C:
x: int
def __repr__(self):
return 'x'
self.assertEqual(repr(C(0)), 'x')
class TestEq(unittest.TestCase):
def test_no_eq(self):
# Test a class with no __eq__ and eq=False.
@dataclass(eq=False)
class C:
x: int
self.assertNotEqual(C(0), C(0))
c = C(3)
self.assertEqual(c, c)
# Test a class with an __eq__ and eq=False.
@dataclass(eq=False)
class C:
x: int
def __eq__(self, other):
return other == 10
self.assertEqual(C(3), 10)
def test_overwriting_eq(self):
# If the class has __eq__, use it no matter the value of
# eq=.
@dataclass
class C:
x: int
def __eq__(self, other):
return other == 3
self.assertEqual(C(1), 3)
self.assertNotEqual(C(1), 1)
@dataclass(eq=True)
class C:
x: int
def __eq__(self, other):
return other == 4
self.assertEqual(C(1), 4)
self.assertNotEqual(C(1), 1)
@dataclass(eq=False)
class C:
x: int
def __eq__(self, other):
return other == 5
self.assertEqual(C(1), 5)
self.assertNotEqual(C(1), 1)
class TestOrdering(unittest.TestCase):
def test_functools_total_ordering(self):
# Test that functools.total_ordering works with this class.
@total_ordering
@dataclass
class C:
x: int
def __lt__(self, other):
# Perform the test "backward", just to make
# sure this is being called.
return self.x >= other
self.assertLess(C(0), -1)
self.assertLessEqual(C(0), -1)
self.assertGreater(C(0), 1)
self.assertGreaterEqual(C(0), 1)
def test_no_order(self):
# Test that no ordering functions are added by default.
@dataclass(order=False)
class C:
x: int
# Make sure no order methods are added.
self.assertNotIn('__le__', C.__dict__)
self.assertNotIn('__lt__', C.__dict__)
self.assertNotIn('__ge__', C.__dict__)
self.assertNotIn('__gt__', C.__dict__)
# Test that __lt__ is still called
@dataclass(order=False)
class C:
x: int
def __lt__(self, other):
return False
# Make sure other methods aren't added.
self.assertNotIn('__le__', C.__dict__)
self.assertNotIn('__ge__', C.__dict__)
self.assertNotIn('__gt__', C.__dict__)
def test_overwriting_order(self):
with self.assertRaisesRegex(TypeError,
'Cannot overwrite attribute __lt__'
'.*using functools.total_ordering'):
@dataclass(order=True)
class C:
x: int
def __lt__(self):
pass
with self.assertRaisesRegex(TypeError,
'Cannot overwrite attribute __le__'
'.*using functools.total_ordering'):
@dataclass(order=True)
class C:
x: int
def __le__(self):
pass
with self.assertRaisesRegex(TypeError,
'Cannot overwrite attribute __gt__'
'.*using functools.total_ordering'):
@dataclass(order=True)
class C:
x: int
def __gt__(self):
pass
with self.assertRaisesRegex(TypeError,
'Cannot overwrite attribute __ge__'
'.*using functools.total_ordering'):
@dataclass(order=True)
class C:
x: int
def __ge__(self):
pass
class TestHash(unittest.TestCase):
def test_unsafe_hash(self):
@dataclass(unsafe_hash=True)
class C:
x: int
y: str
self.assertEqual(hash(C(1, 'foo')), hash((1, 'foo')))
def test_hash_rules(self):
def non_bool(value):
# Map to something else that's True, but not a bool.
if value is None:
return None
if value:
return (3,)
return 0
def test(case, unsafe_hash, eq, frozen, with_hash, result):
with self.subTest(case=case, unsafe_hash=unsafe_hash, eq=eq,
frozen=frozen):
if result != 'exception':
if with_hash:
@dataclass(unsafe_hash=unsafe_hash, eq=eq, frozen=frozen)
class C:
def __hash__(self):
return 0
else:
@dataclass(unsafe_hash=unsafe_hash, eq=eq, frozen=frozen)
class C:
pass
# See if the result matches what's expected.
if result == 'fn':
# __hash__ contains the function we generated.
self.assertIn('__hash__', C.__dict__)
self.assertIsNotNone(C.__dict__['__hash__'])
elif result == '':
# __hash__ is not present in our class.
if not with_hash:
self.assertNotIn('__hash__', C.__dict__)
elif result == 'none':
# __hash__ is set to None.
self.assertIn('__hash__', C.__dict__)
self.assertIsNone(C.__dict__['__hash__'])
elif result == 'exception':
# Creating the class should cause an exception.
# This only happens with with_hash==True.
assert(with_hash)
with self.assertRaisesRegex(TypeError, 'Cannot overwrite attribute __hash__'):
@dataclass(unsafe_hash=unsafe_hash, eq=eq, frozen=frozen)
class C:
def __hash__(self):
return 0
else:
assert False, f'unknown result {result!r}'
# There are 8 cases of:
# unsafe_hash=True/False
# eq=True/False
# frozen=True/False
# And for each of these, a different result if
# __hash__ is defined or not.
for case, (unsafe_hash, eq, frozen, res_no_defined_hash, res_defined_hash) in enumerate([
(False, False, False, '', ''),
(False, False, True, '', ''),
(False, True, False, 'none', ''),
(False, True, True, 'fn', ''),
(True, False, False, 'fn', 'exception'),
(True, False, True, 'fn', 'exception'),
(True, True, False, 'fn', 'exception'),
(True, True, True, 'fn', 'exception'),
], 1):
test(case, unsafe_hash, eq, frozen, False, res_no_defined_hash)
test(case, unsafe_hash, eq, frozen, True, res_defined_hash)
# Test non-bool truth values, too. This is just to
# make sure the data-driven table in the decorator
# handles non-bool values.
test(case, non_bool(unsafe_hash), non_bool(eq), non_bool(frozen), False, res_no_defined_hash)
test(case, non_bool(unsafe_hash), non_bool(eq), non_bool(frozen), True, res_defined_hash)
def test_eq_only(self):
# If a class defines __eq__, __hash__ is automatically added
# and set to None. This is normal Python behavior, not
# related to dataclasses. Make sure we don't interfere with
# that (see bpo=32546).
@dataclass
class C:
i: int
def __eq__(self, other):
return self.i == other.i
self.assertEqual(C(1), C(1))
self.assertNotEqual(C(1), C(4))
# And make sure things work in this case if we specify
# unsafe_hash=True.
@dataclass(unsafe_hash=True)
class C:
i: int
def __eq__(self, other):
return self.i == other.i
self.assertEqual(C(1), C(1.0))
self.assertEqual(hash(C(1)), hash(C(1.0)))
# And check that the classes __eq__ is being used, despite
# specifying eq=True.
@dataclass(unsafe_hash=True, eq=True)
class C:
i: int
def __eq__(self, other):
return self.i == 3 and self.i == other.i
self.assertEqual(C(3), C(3))
self.assertNotEqual(C(1), C(1))
self.assertEqual(hash(C(1)), hash(C(1.0)))
def test_0_field_hash(self):
@dataclass(frozen=True)
class C:
pass
self.assertEqual(hash(C()), hash(()))
@dataclass(unsafe_hash=True)
class C:
pass
self.assertEqual(hash(C()), hash(()))
def test_1_field_hash(self):
@dataclass(frozen=True)
class C:
x: int
self.assertEqual(hash(C(4)), hash((4,)))
self.assertEqual(hash(C(42)), hash((42,)))
@dataclass(unsafe_hash=True)
class C:
x: int
self.assertEqual(hash(C(4)), hash((4,)))
self.assertEqual(hash(C(42)), hash((42,)))
def test_hash_no_args(self):
# Test dataclasses with no hash= argument. This exists to
# make sure that if the @dataclass parameter name is changed
# or the non-default hashing behavior changes, the default
# hashability keeps working the same way.
class Base:
def __hash__(self):
return 301
# If frozen or eq is None, then use the default value (do not
# specify any value in the decorator).
for frozen, eq, base, expected in [
(None, None, object, 'unhashable'),
(None, None, Base, 'unhashable'),
(None, False, object, 'object'),
(None, False, Base, 'base'),
(None, True, object, 'unhashable'),
(None, True, Base, 'unhashable'),
(False, None, object, 'unhashable'),
(False, None, Base, 'unhashable'),
(False, False, object, 'object'),
(False, False, Base, 'base'),
(False, True, object, 'unhashable'),
(False, True, Base, 'unhashable'),
(True, None, object, 'tuple'),
(True, None, Base, 'tuple'),
(True, False, object, 'object'),
(True, False, Base, 'base'),
(True, True, object, 'tuple'),
(True, True, Base, 'tuple'),
]:
with self.subTest(frozen=frozen, eq=eq, base=base, expected=expected):
# First, create the class.
if frozen is None and eq is None:
@dataclass
class C(base):
i: int
elif frozen is None:
@dataclass(eq=eq)
class C(base):
i: int
elif eq is None:
@dataclass(frozen=frozen)
class C(base):
i: int
else:
@dataclass(frozen=frozen, eq=eq)
class C(base):
i: int
# Now, make sure it hashes as expected.
if expected == 'unhashable':
c = C(10)
with self.assertRaisesRegex(TypeError, 'unhashable type'):
hash(c)
elif expected == 'base':
self.assertEqual(hash(C(10)), 301)
elif expected == 'object':
# I'm not sure what test to use here. object's
# hash isn't based on id(), so calling hash()
# won't tell us much. So, just check the
# function used is object's.
self.assertIs(C.__hash__, object.__hash__)
elif expected == 'tuple':
self.assertEqual(hash(C(42)), hash((42,)))
else:
assert False, f'unknown value for expected={expected!r}'
class TestFrozen(unittest.TestCase):
def test_frozen(self):
@dataclass(frozen=True)
class C:
i: int
c = C(10)
self.assertEqual(c.i, 10)
with self.assertRaises(FrozenInstanceError):
c.i = 5
self.assertEqual(c.i, 10)
def test_inherit(self):
@dataclass(frozen=True)
class C:
i: int
@dataclass(frozen=True)
class D(C):
j: int
d = D(0, 10)
with self.assertRaises(FrozenInstanceError):
d.i = 5
with self.assertRaises(FrozenInstanceError):
d.j = 6
self.assertEqual(d.i, 0)
self.assertEqual(d.j, 10)
def test_inherit_nonfrozen_from_empty_frozen(self):
@dataclass(frozen=True)
class C:
pass
with self.assertRaisesRegex(TypeError,
'cannot inherit non-frozen dataclass from a frozen one'):
@dataclass
class D(C):
j: int
def test_inherit_nonfrozen_from_empty(self):
@dataclass
class C:
pass
@dataclass
class D(C):
j: int
d = D(3)
self.assertEqual(d.j, 3)
self.assertIsInstance(d, C)
# Test both ways: with an intermediate normal (non-dataclass)
# class and without an intermediate class.
def test_inherit_nonfrozen_from_frozen(self):
for intermediate_class in [True, False]:
with self.subTest(intermediate_class=intermediate_class):
@dataclass(frozen=True)
class C:
i: int
if intermediate_class:
class I(C): pass
else:
I = C
with self.assertRaisesRegex(TypeError,
'cannot inherit non-frozen dataclass from a frozen one'):
@dataclass
class D(I):
pass
def test_inherit_frozen_from_nonfrozen(self):
for intermediate_class in [True, False]:
with self.subTest(intermediate_class=intermediate_class):
@dataclass
class C:
i: int
if intermediate_class:
class I(C): pass
else:
I = C
with self.assertRaisesRegex(TypeError,
'cannot inherit frozen dataclass from a non-frozen one'):
@dataclass(frozen=True)
class D(I):
pass
def test_inherit_from_normal_class(self):
for intermediate_class in [True, False]:
with self.subTest(intermediate_class=intermediate_class):
class C:
pass
if intermediate_class:
class I(C): pass
else:
I = C
@dataclass(frozen=True)
class D(I):
i: int
d = D(10)
with self.assertRaises(FrozenInstanceError):
d.i = 5
def test_non_frozen_normal_derived(self):
# See bpo-32953.
@dataclass(frozen=True)
class D:
x: int
y: int = 10
class S(D):
pass
s = S(3)
self.assertEqual(s.x, 3)
self.assertEqual(s.y, 10)
s.cached = True
# But can't change the frozen attributes.
with self.assertRaises(FrozenInstanceError):
s.x = 5
with self.assertRaises(FrozenInstanceError):
s.y = 5
self.assertEqual(s.x, 3)
self.assertEqual(s.y, 10)
self.assertEqual(s.cached, True)
def test_overwriting_frozen(self):
# frozen uses __setattr__ and __delattr__.
with self.assertRaisesRegex(TypeError,
'Cannot overwrite attribute __setattr__'):
@dataclass(frozen=True)
class C:
x: int
def __setattr__(self):
pass
with self.assertRaisesRegex(TypeError,
'Cannot overwrite attribute __delattr__'):
@dataclass(frozen=True)
class C:
x: int
def __delattr__(self):
pass
@dataclass(frozen=False)
class C:
x: int
def __setattr__(self, name, value):
self.__dict__['x'] = value * 2
self.assertEqual(C(10).x, 20)
def test_frozen_hash(self):
@dataclass(frozen=True)
class C:
x: Any
# If x is immutable, we can compute the hash. No exception is
# raised.
hash(C(3))
# If x is mutable, computing the hash is an error.
with self.assertRaisesRegex(TypeError, 'unhashable type'):
hash(C({}))
class TestSlots(unittest.TestCase):
def test_simple(self):
@dataclass
class C:
__slots__ = ('x',)
x: Any
# There was a bug where a variable in a slot was assumed to
# also have a default value (of type
# types.MemberDescriptorType).
with self.assertRaisesRegex(TypeError,
r"__init__\(\) missing 1 required positional argument: 'x'"):
C()
# We can create an instance, and assign to x.
c = C(10)
self.assertEqual(c.x, 10)
c.x = 5
self.assertEqual(c.x, 5)
# We can't assign to anything else.
with self.assertRaisesRegex(AttributeError, "'C' object has no attribute 'y'"):
c.y = 5
def test_derived_added_field(self):
# See bpo-33100.
@dataclass
class Base:
__slots__ = ('x',)
x: Any
@dataclass
class Derived(Base):
x: int
y: int
d = Derived(1, 2)
self.assertEqual((d.x, d.y), (1, 2))
# We can add a new field to the derived instance.
d.z = 10
class TestDescriptors(unittest.TestCase):
def test_set_name(self):
# See bpo-33141.
# Create a descriptor.
class D:
def __set_name__(self, owner, name):
self.name = name + 'x'
def __get__(self, instance, owner):
if instance is not None:
return 1
return self
# This is the case of just normal descriptor behavior, no
# dataclass code is involved in initializing the descriptor.
@dataclass
class C:
c: int=D()
self.assertEqual(C.c.name, 'cx')
# Now test with a default value and init=False, which is the
# only time this is really meaningful. If not using
# init=False, then the descriptor will be overwritten, anyway.
@dataclass
class C:
c: int=field(default=D(), init=False)
self.assertEqual(C.c.name, 'cx')
self.assertEqual(C().c, 1)
def test_non_descriptor(self):
# PEP 487 says __set_name__ should work on non-descriptors.
# Create a descriptor.
class D:
def __set_name__(self, owner, name):
self.name = name + 'x'
@dataclass
class C:
c: int=field(default=D(), init=False)
self.assertEqual(C.c.name, 'cx')
def test_lookup_on_instance(self):
# See bpo-33175.
class D:
pass
d = D()
# Create an attribute on the instance, not type.
d.__set_name__ = Mock()
# Make sure d.__set_name__ is not called.
@dataclass
class C:
i: int=field(default=d, init=False)
self.assertEqual(d.__set_name__.call_count, 0)
def test_lookup_on_class(self):
# See bpo-33175.
class D:
pass
D.__set_name__ = Mock()
# Make sure D.__set_name__ is called.
@dataclass
class C:
i: int=field(default=D(), init=False)
self.assertEqual(D.__set_name__.call_count, 1)
class TestStringAnnotations(unittest.TestCase):
def test_classvar(self):
# Some expressions recognized as ClassVar really aren't. But
# if you're using string annotations, it's not an exact
# science.
# These tests assume that both "import typing" and "from
# typing import *" have been run in this file.
for typestr in ('ClassVar[int]',
'ClassVar [int]'
' ClassVar [int]',
'ClassVar',
' ClassVar ',
'typing.ClassVar[int]',
'typing.ClassVar[str]',
' typing.ClassVar[str]',
'typing .ClassVar[str]',
'typing. ClassVar[str]',
'typing.ClassVar [str]',
'typing.ClassVar [ str]',
# Not syntactically valid, but these will
# be treated as ClassVars.
'typing.ClassVar.[int]',
'typing.ClassVar+',
):
with self.subTest(typestr=typestr):
@dataclass
class C:
x: typestr
# x is a ClassVar, so C() takes no args.
C()
# And it won't appear in the class's dict because it doesn't
# have a default.
self.assertNotIn('x', C.__dict__)
def test_isnt_classvar(self):
for typestr in ('CV',
't.ClassVar',
't.ClassVar[int]',
'typing..ClassVar[int]',
'Classvar',
'Classvar[int]',
'typing.ClassVarx[int]',
'typong.ClassVar[int]',
'dataclasses.ClassVar[int]',
'typingxClassVar[str]',
):
with self.subTest(typestr=typestr):
@dataclass
class C:
x: typestr
# x is not a ClassVar, so C() takes one arg.
self.assertEqual(C(10).x, 10)
def test_initvar(self):
# These tests assume that both "import dataclasses" and "from
# dataclasses import *" have been run in this file.
for typestr in ('InitVar[int]',
'InitVar [int]'
' InitVar [int]',
'InitVar',
' InitVar ',
'dataclasses.InitVar[int]',
'dataclasses.InitVar[str]',
' dataclasses.InitVar[str]',
'dataclasses .InitVar[str]',
'dataclasses. InitVar[str]',
'dataclasses.InitVar [str]',
'dataclasses.InitVar [ str]',
# Not syntactically valid, but these will
# be treated as InitVars.
'dataclasses.InitVar.[int]',
'dataclasses.InitVar+',
):
with self.subTest(typestr=typestr):
@dataclass
class C:
x: typestr
# x is an InitVar, so doesn't create a member.
with self.assertRaisesRegex(AttributeError,
"object has no attribute 'x'"):
C(1).x
def test_isnt_initvar(self):
for typestr in ('IV',
'dc.InitVar',
'xdataclasses.xInitVar',
'typing.xInitVar[int]',
):
with self.subTest(typestr=typestr):
@dataclass
class C:
x: typestr
# x is not an InitVar, so there will be a member x.
self.assertEqual(C(10).x, 10)
def test_classvar_module_level_import(self):
from test import dataclass_module_1
from test import dataclass_module_1_str
from test import dataclass_module_2
from test import dataclass_module_2_str
for m in (dataclass_module_1, dataclass_module_1_str,
dataclass_module_2, dataclass_module_2_str,
):
with self.subTest(m=m):
# There's a difference in how the ClassVars are
# interpreted when using string annotations or
# not. See the imported modules for details.
if m.USING_STRINGS:
c = m.CV(10)
else:
c = m.CV()
self.assertEqual(c.cv0, 20)
# There's a difference in how the InitVars are
# interpreted when using string annotations or
# not. See the imported modules for details.
c = m.IV(0, 1, 2, 3, 4)
for field_name in ('iv0', 'iv1', 'iv2', 'iv3'):
with self.subTest(field_name=field_name):
with self.assertRaisesRegex(AttributeError, f"object has no attribute '{field_name}'"):
# Since field_name is an InitVar, it's
# not an instance field.
getattr(c, field_name)
if m.USING_STRINGS:
# iv4 is interpreted as a normal field.
self.assertIn('not_iv4', c.__dict__)
self.assertEqual(c.not_iv4, 4)
else:
# iv4 is interpreted as an InitVar, so it
# won't exist on the instance.
self.assertNotIn('not_iv4', c.__dict__)
def test_text_annotations(self):
from test import dataclass_textanno
self.assertEqual(
get_type_hints(dataclass_textanno.Bar),
{'foo': dataclass_textanno.Foo})
self.assertEqual(
get_type_hints(dataclass_textanno.Bar.__init__),
{'foo': dataclass_textanno.Foo,
'return': type(None)})
class TestMakeDataclass(unittest.TestCase):
def test_simple(self):
C = make_dataclass('C',
[('x', int),
('y', int, field(default=5))],
namespace={'add_one': lambda self: self.x + 1})
c = C(10)
self.assertEqual((c.x, c.y), (10, 5))
self.assertEqual(c.add_one(), 11)
def test_no_mutate_namespace(self):
# Make sure a provided namespace isn't mutated.
ns = {}
C = make_dataclass('C',
[('x', int),
('y', int, field(default=5))],
namespace=ns)
self.assertEqual(ns, {})
def test_base(self):
class Base1:
pass
class Base2:
pass
C = make_dataclass('C',
[('x', int)],
bases=(Base1, Base2))
c = C(2)
self.assertIsInstance(c, C)
self.assertIsInstance(c, Base1)
self.assertIsInstance(c, Base2)
def test_base_dataclass(self):
@dataclass
class Base1:
x: int
class Base2:
pass
C = make_dataclass('C',
[('y', int)],
bases=(Base1, Base2))
with self.assertRaisesRegex(TypeError, 'required positional'):
c = C(2)
c = C(1, 2)
self.assertIsInstance(c, C)
self.assertIsInstance(c, Base1)
self.assertIsInstance(c, Base2)
self.assertEqual((c.x, c.y), (1, 2))
def test_init_var(self):
def post_init(self, y):
self.x *= y
C = make_dataclass('C',
[('x', int),
('y', InitVar[int]),
],
namespace={'__post_init__': post_init},
)
c = C(2, 3)
self.assertEqual(vars(c), {'x': 6})
self.assertEqual(len(fields(c)), 1)
def test_class_var(self):
C = make_dataclass('C',
[('x', int),
('y', ClassVar[int], 10),
('z', ClassVar[int], field(default=20)),
])
c = C(1)
self.assertEqual(vars(c), {'x': 1})
self.assertEqual(len(fields(c)), 1)
self.assertEqual(C.y, 10)
self.assertEqual(C.z, 20)
def test_other_params(self):
C = make_dataclass('C',
[('x', int),
('y', ClassVar[int], 10),
('z', ClassVar[int], field(default=20)),
],
init=False)
# Make sure we have a repr, but no init.
self.assertNotIn('__init__', vars(C))
self.assertIn('__repr__', vars(C))
# Make sure random other params don't work.
with self.assertRaisesRegex(TypeError, 'unexpected keyword argument'):
C = make_dataclass('C',
[],
xxinit=False)
def test_no_types(self):
C = make_dataclass('Point', ['x', 'y', 'z'])
c = C(1, 2, 3)
self.assertEqual(vars(c), {'x': 1, 'y': 2, 'z': 3})
self.assertEqual(C.__annotations__, {'x': 'typing.Any',
'y': 'typing.Any',
'z': 'typing.Any'})
C = make_dataclass('Point', ['x', ('y', int), 'z'])
c = C(1, 2, 3)
self.assertEqual(vars(c), {'x': 1, 'y': 2, 'z': 3})
self.assertEqual(C.__annotations__, {'x': 'typing.Any',
'y': int,
'z': 'typing.Any'})
def test_invalid_type_specification(self):
for bad_field in [(),
(1, 2, 3, 4),
]:
with self.subTest(bad_field=bad_field):
with self.assertRaisesRegex(TypeError, r'Invalid field: '):
make_dataclass('C', ['a', bad_field])
# And test for things with no len().
for bad_field in [float,
lambda x:x,
]:
with self.subTest(bad_field=bad_field):
with self.assertRaisesRegex(TypeError, r'has no len\(\)'):
make_dataclass('C', ['a', bad_field])
def test_duplicate_field_names(self):
for field in ['a', 'ab']:
with self.subTest(field=field):
with self.assertRaisesRegex(TypeError, 'Field name duplicated'):
make_dataclass('C', [field, 'a', field])
def test_keyword_field_names(self):
for field in ['for', 'async', 'await', 'as']:
with self.subTest(field=field):
with self.assertRaisesRegex(TypeError, 'must not be keywords'):
make_dataclass('C', ['a', field])
with self.assertRaisesRegex(TypeError, 'must not be keywords'):
make_dataclass('C', [field])
with self.assertRaisesRegex(TypeError, 'must not be keywords'):
make_dataclass('C', [field, 'a'])
def test_non_identifier_field_names(self):
for field in ['()', 'x,y', '*', '2@3', '', 'little johnny tables']:
with self.subTest(field=field):
with self.assertRaisesRegex(TypeError, 'must be valid identifiers'):
make_dataclass('C', ['a', field])
with self.assertRaisesRegex(TypeError, 'must be valid identifiers'):
make_dataclass('C', [field])
with self.assertRaisesRegex(TypeError, 'must be valid identifiers'):
make_dataclass('C', [field, 'a'])
def test_underscore_field_names(self):
# Unlike namedtuple, it's okay if dataclass field names have
# an underscore.
make_dataclass('C', ['_', '_a', 'a_a', 'a_'])
def test_funny_class_names_names(self):
# No reason to prevent weird class names, since
# types.new_class allows them.
for classname in ['()', 'x,y', '*', '2@3', '']:
with self.subTest(classname=classname):
C = make_dataclass(classname, ['a', 'b'])
self.assertEqual(C.__name__, classname)
class TestReplace(unittest.TestCase):
def test(self):
@dataclass(frozen=True)
class C:
x: int
y: int
c = C(1, 2)
c1 = replace(c, x=3)
self.assertEqual(c1.x, 3)
self.assertEqual(c1.y, 2)
def test_frozen(self):
@dataclass(frozen=True)
class C:
x: int
y: int
z: int = field(init=False, default=10)
t: int = field(init=False, default=100)
c = C(1, 2)
c1 = replace(c, x=3)
self.assertEqual((c.x, c.y, c.z, c.t), (1, 2, 10, 100))
self.assertEqual((c1.x, c1.y, c1.z, c1.t), (3, 2, 10, 100))
with self.assertRaisesRegex(ValueError, 'init=False'):
replace(c, x=3, z=20, t=50)
with self.assertRaisesRegex(ValueError, 'init=False'):
replace(c, z=20)
replace(c, x=3, z=20, t=50)
# Make sure the result is still frozen.
with self.assertRaisesRegex(FrozenInstanceError, "cannot assign to field 'x'"):
c1.x = 3
# Make sure we can't replace an attribute that doesn't exist,
# if we're also replacing one that does exist. Test this
# here, because setting attributes on frozen instances is
# handled slightly differently from non-frozen ones.
with self.assertRaisesRegex(TypeError, r"__init__\(\) got an unexpected "
"keyword argument 'a'"):
c1 = replace(c, x=20, a=5)
def test_invalid_field_name(self):
@dataclass(frozen=True)
class C:
x: int
y: int
c = C(1, 2)
with self.assertRaisesRegex(TypeError, r"__init__\(\) got an unexpected "
"keyword argument 'z'"):
c1 = replace(c, z=3)
def test_invalid_object(self):
@dataclass(frozen=True)
class C:
x: int
y: int
with self.assertRaisesRegex(TypeError, 'dataclass instance'):
replace(C, x=3)
with self.assertRaisesRegex(TypeError, 'dataclass instance'):
replace(0, x=3)
def test_no_init(self):
@dataclass
class C:
x: int
y: int = field(init=False, default=10)
c = C(1)
c.y = 20
# Make sure y gets the default value.
c1 = replace(c, x=5)
self.assertEqual((c1.x, c1.y), (5, 10))
# Trying to replace y is an error.
with self.assertRaisesRegex(ValueError, 'init=False'):
replace(c, x=2, y=30)
with self.assertRaisesRegex(ValueError, 'init=False'):
replace(c, y=30)
def test_classvar(self):
@dataclass
class C:
x: int
y: ClassVar[int] = 1000
c = C(1)
d = C(2)
self.assertIs(c.y, d.y)
self.assertEqual(c.y, 1000)
# Trying to replace y is an error: can't replace ClassVars.
with self.assertRaisesRegex(TypeError, r"__init__\(\) got an "
"unexpected keyword argument 'y'"):
replace(c, y=30)
replace(c, x=5)
def test_initvar_is_specified(self):
@dataclass
class C:
x: int
y: InitVar[int]
def __post_init__(self, y):
self.x *= y
c = C(1, 10)
self.assertEqual(c.x, 10)
with self.assertRaisesRegex(ValueError, r"InitVar 'y' must be "
"specified with replace()"):
replace(c, x=3)
c = replace(c, x=3, y=5)
self.assertEqual(c.x, 15)
def test_initvar_with_default_value(self):
@dataclass
class C:
x: int
y: InitVar[int] = None
z: InitVar[int] = 42
def __post_init__(self, y, z):
if y is not None:
self.x += y
if z is not None:
self.x += z
c = C(x=1, y=10, z=1)
self.assertEqual(replace(c), C(x=12))
self.assertEqual(replace(c, y=4), C(x=12, y=4, z=42))
self.assertEqual(replace(c, y=4, z=1), C(x=12, y=4, z=1))
def test_recursive_repr(self):
@dataclass
class C:
f: "C"
c = C(None)
c.f = c
self.assertEqual(repr(c), "TestReplace.test_recursive_repr.<locals>.C(f=...)")
def test_recursive_repr_two_attrs(self):
@dataclass
class C:
f: "C"
g: "C"
c = C(None, None)
c.f = c
c.g = c
self.assertEqual(repr(c), "TestReplace.test_recursive_repr_two_attrs"
".<locals>.C(f=..., g=...)")
def test_recursive_repr_indirection(self):
@dataclass
class C:
f: "D"
@dataclass
class D:
f: "C"
c = C(None)
d = D(None)
c.f = d
d.f = c
self.assertEqual(repr(c), "TestReplace.test_recursive_repr_indirection"
".<locals>.C(f=TestReplace.test_recursive_repr_indirection"
".<locals>.D(f=...))")
def test_recursive_repr_indirection_two(self):
@dataclass
class C:
f: "D"
@dataclass
class D:
f: "E"
@dataclass
class E:
f: "C"
c = C(None)
d = D(None)
e = E(None)
c.f = d
d.f = e
e.f = c
self.assertEqual(repr(c), "TestReplace.test_recursive_repr_indirection_two"
".<locals>.C(f=TestReplace.test_recursive_repr_indirection_two"
".<locals>.D(f=TestReplace.test_recursive_repr_indirection_two"
".<locals>.E(f=...)))")
def test_recursive_repr_misc_attrs(self):
@dataclass
class C:
f: "C"
g: int
c = C(None, 1)
c.f = c
self.assertEqual(repr(c), "TestReplace.test_recursive_repr_misc_attrs"
".<locals>.C(f=..., g=1)")
## def test_initvar(self):
## @dataclass
## class C:
## x: int
## y: InitVar[int]
## c = C(1, 10)
## d = C(2, 20)
## # In our case, replacing an InitVar is a no-op
## self.assertEqual(c, replace(c, y=5))
## replace(c, x=5)
if __name__ == '__main__':
unittest.main()
