test-data/unit/check-dataclass-transform.test

[case testDataclassTransformReusesDataclassLogic]
# flags: --python-version 3.11
from typing import dataclass_transform, Type

@dataclass_transform()
def my_dataclass(cls: Type) -> Type:
    return cls

@my_dataclass
class Person:
    name: str
    age: int

    def summary(self):
        return "%s is %d years old." % (self.name, self.age)

reveal_type(Person)  # N: Revealed type is "def (name: builtins.str, age: builtins.int) -> __main__.Person"
Person('John', 32)
Person('Jonh', 21, None)  # E: Too many arguments for "Person"

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]

[case testDataclassTransformIsFoundInTypingExtensions]
# flags: --python-version 3.7
from typing import Type
from typing_extensions import dataclass_transform

@dataclass_transform()
def my_dataclass(cls: Type) -> Type:
    return cls

@my_dataclass
class Person:
    name: str
    age: int

    def summary(self):
        return "%s is %d years old." % (self.name, self.age)

reveal_type(Person)  # N: Revealed type is "def (name: builtins.str, age: builtins.int) -> __main__.Person"
Person('John', 32)
Person('Jonh', 21, None)  # E: Too many arguments for "Person"

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]

[case testDataclassTransformParametersAreApplied]
# flags: --python-version 3.11
from typing import dataclass_transform, Callable, Type

@dataclass_transform()
def my_dataclass(*, eq: bool, order: bool) -> Callable[[Type], Type]:
    def transform(cls: Type) -> Type:
        return cls
    return transform

@my_dataclass(eq=False, order=True)  # E: "eq" must be True if "order" is True
class Person:
    name: str
    age: int

reveal_type(Person)  # N: Revealed type is "def (name: builtins.str, age: builtins.int) -> __main__.Person"
Person('John', 32)
Person('John', 21, None)  # E: Too many arguments for "Person"

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]

[case testDataclassTransformParametersMustBeBoolLiterals]
# flags: --python-version 3.11
from typing import dataclass_transform, Callable, Type

@dataclass_transform()
def my_dataclass(*, eq: bool = True, order: bool = False) -> Callable[[Type], Type]:
    def transform(cls: Type) -> Type:
        return cls
    return transform
@dataclass_transform()
class BaseClass:
    def __init_subclass__(cls, *, eq: bool): ...
@dataclass_transform()
class Metaclass(type): ...

BOOL_CONSTANT = True
@my_dataclass(eq=BOOL_CONSTANT)  # E: "eq" argument must be a True or False literal
class A: ...
@my_dataclass(order=not False)  # E: "order" argument must be a True or False literal
class B: ...
class C(BaseClass, eq=BOOL_CONSTANT): ...  # E: "eq" argument must be a True or False literal
class D(metaclass=Metaclass, order=not False): ...  # E: "order" argument must be a True or False literal

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]

[case testDataclassTransformDefaultParamsMustBeLiterals]
# flags: --python-version 3.11
from typing import dataclass_transform, Type, Final

BOOLEAN_CONSTANT = True
FINAL_BOOLEAN: Final = True

@dataclass_transform(eq_default=BOOLEAN_CONSTANT) # E: "eq_default" argument must be a True or False literal
def foo(cls: Type) -> Type:
    return cls
@dataclass_transform(eq_default=(not True)) # E: "eq_default" argument must be a True or False literal
def bar(cls: Type) -> Type:
    return cls
@dataclass_transform(eq_default=FINAL_BOOLEAN) # E: "eq_default" argument must be a True or False literal
def baz(cls: Type) -> Type:
    return cls

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]

[case testDataclassTransformUnrecognizedParamsAreErrors]
# flags: --python-version 3.11
from typing import dataclass_transform, Type

BOOLEAN_CONSTANT = True

@dataclass_transform(nonexistant=True) # E: Unrecognized dataclass_transform parameter "nonexistant"
def foo(cls: Type) -> Type:
    return cls

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]


[case testDataclassTransformDefaultParams]
# flags: --python-version 3.11
from typing import dataclass_transform, Type, Callable

@dataclass_transform(eq_default=False)
def no_eq(*, order: bool = False) -> Callable[[Type], Type]:
    return lambda cls: cls
@no_eq()
class Foo: ...
@no_eq(order=True)  # E: "eq" must be True if "order" is True
class Bar: ...


@dataclass_transform(kw_only_default=True)
def always_use_kw(cls: Type) -> Type:
    return cls
@always_use_kw
class Baz:
    x: int
Baz(x=5)
Baz(5)  # E: Too many positional arguments for "Baz"

@dataclass_transform(order_default=True)
def ordered(*, eq: bool = True) -> Callable[[Type], Type]:
    return lambda cls: cls
@ordered()
class A:
    x: int
A(1) > A(2)

@dataclass_transform(frozen_default=True)
def frozen(cls: Type) -> Type:
    return cls
@frozen
class B:
    x: int
b = B(x=1)
b.x = 2  # E: Property "x" defined in "B" is read-only

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]

[case testDataclassTransformDefaultsCanBeOverridden]
# flags: --python-version 3.11
from typing import dataclass_transform, Callable, Type

@dataclass_transform(kw_only_default=True)
def my_dataclass(*, kw_only: bool = True) -> Callable[[Type], Type]:
    return lambda cls: cls

@my_dataclass()
class KwOnly:
    x: int
@my_dataclass(kw_only=False)
class KwOptional:
    x: int

KwOnly(5)  # E: Too many positional arguments for "KwOnly"
KwOptional(5)

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]

[case testDataclassTransformFieldSpecifiersDefaultsToEmpty]
# flags: --python-version 3.11
from dataclasses import field, dataclass
from typing import dataclass_transform, Type

@dataclass_transform()
def my_dataclass(cls: Type) -> Type:
    return cls

@my_dataclass
class Foo:
    foo: int = field(kw_only=True)

# Does not cause a type error because `dataclasses.field` is not a recognized field specifier by
# default
Foo(5)

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]

[case testDataclassTransformFieldSpecifierRejectMalformed]
# flags: --python-version 3.11
from typing import dataclass_transform, Any, Callable, Final, Type

def some_type() -> Type: ...
def some_function() -> Callable[[], None]: ...

def field(*args, **kwargs): ...
def fields_tuple() -> tuple[type | Callable[..., Any], ...]: return (field,)
CONSTANT: Final = (field,)

@dataclass_transform(field_specifiers=(some_type(),))  # E: "field_specifiers" must only contain identifiers
def bad_dataclass1() -> None: ...
@dataclass_transform(field_specifiers=(some_function(),))  # E: "field_specifiers" must only contain identifiers
def bad_dataclass2() -> None: ...
@dataclass_transform(field_specifiers=CONSTANT)  # E: "field_specifiers" argument must be a tuple literal
def bad_dataclass3() -> None: ...
@dataclass_transform(field_specifiers=fields_tuple())  # E: "field_specifiers" argument must be a tuple literal
def bad_dataclass4() -> None: ...

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]

[case testDataclassTransformFieldSpecifierParams]
# flags: --python-version 3.11
from typing import dataclass_transform, Any, Callable, Type, Final

def field(
    *,
    init: bool = True,
    kw_only: bool = False,
    alias: str | None = None,
    default: Any | None = None,
    default_factory: Callable[[], Any] | None = None,
    factory: Callable[[], Any] | None = None,
): ...
@dataclass_transform(field_specifiers=(field,))
def my_dataclass(cls: Type) -> Type:
    return cls

B: Final = 'b_'
@my_dataclass
class Foo:
    a: int = field(alias='a_')
    b: int = field(alias=B)
    # cannot be passed as a positional
    kwonly: int = field(kw_only=True, default=0)
    # Safe to omit from constructor, error to pass
    noinit: int = field(init=False, default=1)
    # It should be safe to call the constructor without passing any of these
    unused1: int = field(default=0)
    unused2: int = field(factory=lambda: 0)
    unused3: int = field(default_factory=lambda: 0)

Foo(a=5, b_=1)  # E: Unexpected keyword argument "a" for "Foo"
Foo(a_=1, b_=1, noinit=1)  # E: Unexpected keyword argument "noinit" for "Foo"
Foo(1, 2, 3)  # E: Too many positional arguments for "Foo"
foo = Foo(1, 2, kwonly=3)
reveal_type(foo.noinit)  # N: Revealed type is "builtins.int"
reveal_type(foo.unused1)  # N: Revealed type is "builtins.int"
Foo(a_=5, b_=1, unused1=2, unused2=3, unused3=4)

def some_str() -> str: ...
def some_bool() -> bool: ...
@my_dataclass
class Bad:
    bad1: int = field(alias=some_str())  # E: "alias" argument to dataclass field must be a string literal
    bad2: int = field(kw_only=some_bool())  # E: "kw_only" argument must be a boolean literal

reveal_type(Foo.__dataclass_fields__)  # N: Revealed type is "builtins.dict[builtins.str, Any]"

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]

[case testDataclassTransformFieldSpecifierExtraArgs]
# flags: --python-version 3.11
from typing import dataclass_transform

def field(extra1, *, kw_only=False, extra2=0): ...
@dataclass_transform(field_specifiers=(field,))
def my_dataclass(cls):
    return cls

@my_dataclass
class Good:
    a: int = field(5)
    b: int = field(5, extra2=1)
    c: int = field(5, kw_only=True)

@my_dataclass
class Bad:
    a: int = field(kw_only=True)  # E: Missing positional argument "extra1" in call to "field"

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]

[case testDataclassTransformMultipleFieldSpecifiers]
# flags: --python-version 3.11
from typing import dataclass_transform

def field1(*, default: int) -> int: ...
def field2(*, default: str) -> str: ...

@dataclass_transform(field_specifiers=(field1, field2))
def my_dataclass(cls): return cls

@my_dataclass
class Foo:
    a: int = field1(default=0)
    b: str = field2(default='hello')

reveal_type(Foo)  # N: Revealed type is "def (a: builtins.int =, b: builtins.str =) -> __main__.Foo"
Foo()
Foo(a=1, b='bye')

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]

[case testDataclassTransformFieldSpecifierImplicitInit]
# flags: --python-version 3.11
from typing import dataclass_transform, Literal, overload

def init(*, init: Literal[True] = True): ...
def no_init(*, init: Literal[False] = False): ...

@overload
def field_overload(*, custom: None, init: Literal[True] = True): ...
@overload
def field_overload(*, custom: str, init: Literal[False] = False): ...
def field_overload(*, custom, init): ...

@dataclass_transform(field_specifiers=(init, no_init, field_overload))
def my_dataclass(cls): return cls

@my_dataclass
class Foo:
    a: int = init()
    b: int = field_overload(custom=None)

    bad1: int = no_init()
    bad2: int = field_overload(custom="bad2")

reveal_type(Foo)  # N: Revealed type is "def (a: builtins.int, b: builtins.int) -> __main__.Foo"
Foo(a=1, b=2)
Foo(a=1, b=2, bad1=0)  # E: Unexpected keyword argument "bad1" for "Foo"
Foo(a=1, b=2, bad2=0)  # E: Unexpected keyword argument "bad2" for "Foo"

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]

[case testDataclassTransformOverloadsDecoratorOnOverload]
# flags: --python-version 3.11
from typing import dataclass_transform, overload, Any, Callable, Type, Literal

@overload
def my_dataclass(*, foo: str) -> Callable[[Type], Type]: ...
@overload
@dataclass_transform(frozen_default=True)
def my_dataclass(*, foo: int) -> Callable[[Type], Type]: ...
def my_dataclass(*, foo: Any) -> Callable[[Type], Type]:
    return lambda cls: cls
@my_dataclass(foo="hello")
class A:
    a: int
@my_dataclass(foo=5)
class B:
    b: int

reveal_type(A)  # N: Revealed type is "def (a: builtins.int) -> __main__.A"
reveal_type(B)  # N: Revealed type is "def (b: builtins.int) -> __main__.B"
A(1, "hello")  # E: Too many arguments for "A"
a = A(1)
a.a = 2  # E: Property "a" defined in "A" is read-only

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]

[case testDataclassTransformOverloadsDecoratorOnImpl]
# flags: --python-version 3.11
from typing import dataclass_transform, overload, Any, Callable, Type, Literal

@overload
def my_dataclass(*, foo: str) -> Callable[[Type], Type]: ...
@overload
def my_dataclass(*, foo: int) -> Callable[[Type], Type]: ...
@dataclass_transform(frozen_default=True)
def my_dataclass(*, foo: Any) -> Callable[[Type], Type]:
    return lambda cls: cls
@my_dataclass(foo="hello")
class A:
    a: int
@my_dataclass(foo=5)
class B:
    b: int

reveal_type(A)  # N: Revealed type is "def (a: builtins.int) -> __main__.A"
reveal_type(B)  # N: Revealed type is "def (b: builtins.int) -> __main__.B"
A(1, "hello")  # E: Too many arguments for "A"
a = A(1)
a.a = 2  # E: Property "a" defined in "A" is read-only

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]

[case testDataclassTransformViaBaseClass]
# flags: --python-version 3.11
from typing import dataclass_transform

@dataclass_transform(frozen_default=True)
class Dataclass:
    def __init_subclass__(cls, *, kw_only: bool = False): ...

class Person(Dataclass, kw_only=True):
    name: str
    age: int

reveal_type(Person)  # N: Revealed type is "def (*, name: builtins.str, age: builtins.int) -> __main__.Person"
Person('Jonh', 21)  # E: Too many positional arguments for "Person"
person = Person(name='John', age=32)
person.name = "John Smith"  # E: Property "name" defined in "Person" is read-only

class Contact(Person):
    email: str

reveal_type(Contact)  # N: Revealed type is "def (email: builtins.str, *, name: builtins.str, age: builtins.int) -> __main__.Contact"
Contact('john@john.com', name='John', age=32)

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]

[case testDataclassTransformViaMetaclass]
# flags: --python-version 3.11
from typing import dataclass_transform

@dataclass_transform(frozen_default=True)
class Dataclass(type): ...

# Note that PEP 681 states that a class that directly specifies a dataclass_transform-decorated
# metaclass should be treated as neither frozen nor unfrozen. For Person to have frozen semantics,
# it may not directly specify the metaclass.
class BaseDataclass(metaclass=Dataclass): ...
class Person(BaseDataclass, kw_only=True):
    name: str
    age: int

reveal_type(Person)  # N: Revealed type is "def (*, name: builtins.str, age: builtins.int) -> __main__.Person"
Person('Jonh', 21)  # E: Too many positional arguments for "Person"
person = Person(name='John', age=32)
person.name = "John Smith"  # E: Property "name" defined in "Person" is read-only

class Contact(Person):
    email: str

reveal_type(Contact)  # N: Revealed type is "def (email: builtins.str, *, name: builtins.str, age: builtins.int) -> __main__.Contact"
Contact('john@john.com', name='John', age=32)

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]

[case testDataclassTransformViaSubclassOfMetaclass]
# flags: --python-version 3.11
from typing import dataclass_transform

@dataclass_transform(frozen_default=True)
class BaseMeta(type): ...
class SubMeta(BaseMeta): ...

# MyPy does *not* recognize this as a dataclass because the metaclass is not directly decorated with
# dataclass_transform
class Foo(metaclass=SubMeta):
    foo: int

reveal_type(Foo)  # N: Revealed type is "def () -> __main__.Foo"
Foo(1)  # E: Too many arguments for "Foo"

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]

[case testDataclassTransformTypeCheckingInFunction]
# flags: --python-version 3.11
from typing import dataclass_transform, Type, TYPE_CHECKING

@dataclass_transform()
def model(cls: Type) -> Type:
    return cls

@model
class FunctionModel:
    if TYPE_CHECKING:
        string_: str
        integer_: int
    else:
        string_: tuple
        integer_: tuple

FunctionModel(string_="abc", integer_=1)
FunctionModel(string_="abc", integer_=tuple())  # E: Argument "integer_" to "FunctionModel" has incompatible type "Tuple[<nothing>, ...]"; expected "int"

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]

[case testDataclassTransformNegatedTypeCheckingInFunction]
# flags: --python-version 3.11
from typing import dataclass_transform, Type, TYPE_CHECKING

@dataclass_transform()
def model(cls: Type) -> Type:
    return cls

@model
class FunctionModel:
    if not TYPE_CHECKING:
        string_: tuple
        integer_: tuple
    else:
        string_: str
        integer_: int

FunctionModel(string_="abc", integer_=1)
FunctionModel(string_="abc", integer_=tuple())  # E: Argument "integer_" to "FunctionModel" has incompatible type "Tuple[<nothing>, ...]"; expected "int"

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]


[case testDataclassTransformTypeCheckingInBaseClass]
# flags: --python-version 3.11
from typing import dataclass_transform, TYPE_CHECKING

@dataclass_transform()
class ModelBase:
    ...

class BaseClassModel(ModelBase):
    if TYPE_CHECKING:
        string_: str
        integer_: int
    else:
        string_: tuple
        integer_: tuple

BaseClassModel(string_="abc", integer_=1)
BaseClassModel(string_="abc", integer_=tuple())  # E: Argument "integer_" to "BaseClassModel" has incompatible type "Tuple[<nothing>, ...]"; expected "int"

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]

[case testDataclassTransformNegatedTypeCheckingInBaseClass]
# flags: --python-version 3.11
from typing import dataclass_transform, TYPE_CHECKING

@dataclass_transform()
class ModelBase:
    ...

class BaseClassModel(ModelBase):
    if not TYPE_CHECKING:
        string_: tuple
        integer_: tuple
    else:
        string_: str
        integer_: int

BaseClassModel(string_="abc", integer_=1)
BaseClassModel(string_="abc", integer_=tuple())  # E: Argument "integer_" to "BaseClassModel" has incompatible type "Tuple[<nothing>, ...]"; expected "int"

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]

[case testDataclassTransformTypeCheckingInMetaClass]
# flags: --python-version 3.11
from typing import dataclass_transform, Type, TYPE_CHECKING

@dataclass_transform()
class ModelMeta(type):
    ...

class ModelBaseWithMeta(metaclass=ModelMeta):
    ...

class MetaClassModel(ModelBaseWithMeta):
    if TYPE_CHECKING:
        string_: str
        integer_: int
    else:
        string_: tuple
        integer_: tuple

MetaClassModel(string_="abc", integer_=1)
MetaClassModel(string_="abc", integer_=tuple())  # E: Argument "integer_" to "MetaClassModel" has incompatible type "Tuple[<nothing>, ...]"; expected "int"

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]

[case testDataclassTransformNegatedTypeCheckingInMetaClass]
# flags: --python-version 3.11
from typing import dataclass_transform, Type, TYPE_CHECKING

@dataclass_transform()
class ModelMeta(type):
    ...

class ModelBaseWithMeta(metaclass=ModelMeta):
    ...

class MetaClassModel(ModelBaseWithMeta):
    if not TYPE_CHECKING:
        string_: tuple
        integer_: tuple
    else:
        string_: str
        integer_: int

MetaClassModel(string_="abc", integer_=1)
MetaClassModel(string_="abc", integer_=tuple())  # E: Argument "integer_" to "MetaClassModel" has incompatible type "Tuple[<nothing>, ...]"; expected "int"

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]

[case testDataclassTransformStaticConditionalAttributes]
# flags: --python-version 3.11 --always-true TRUTH
from typing import dataclass_transform, Type, TYPE_CHECKING

TRUTH = False  # Is set to --always-true

@dataclass_transform()
def model(cls: Type) -> Type:
    return cls

@model
class FunctionModel:
    if TYPE_CHECKING:
        present_1: int
    else:
        skipped_1: int
    if True:  # Mypy does not know if it is True or False, so the block is used
        present_2: int
    if False:  # Mypy does not know if it is True or False, so the block is used
        present_3: int
    if not TRUTH:
        skipped_2: int
    else:
        present_4: int

FunctionModel(
    present_1=1,
    present_2=2,
    present_3=3,
    present_4=4,
)
FunctionModel()  # E: Missing positional arguments "present_1", "present_2", "present_3", "present_4" in call to "FunctionModel"
FunctionModel(   # E: Unexpected keyword argument "skipped_1" for "FunctionModel"
    present_1=1,
    present_2=2,
    present_3=3,
    present_4=4,
    skipped_1=5,
)

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]


[case testDataclassTransformStaticDeterministicConditionalElifAttributes]
# flags: --python-version 3.11 --always-true TRUTH --always-false LIE
from typing import dataclass_transform, Type, TYPE_CHECKING

TRUTH = False  # Is set to --always-true
LIE = True  # Is set to --always-false

@dataclass_transform()
def model(cls: Type) -> Type:
    return cls

@model
class FunctionModel:
    if TYPE_CHECKING:
        present_1: int
    elif TRUTH:
        skipped_1: int
    else:
        skipped_2: int
    if LIE:
        skipped_3: int
    elif TRUTH:
        present_2: int
    else:
        skipped_4: int
    if LIE:
        skipped_5: int
    elif LIE:
        skipped_6: int
    else:
        present_3: int

FunctionModel(
    present_1=1,
    present_2=2,
    present_3=3,
)

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]

[case testDataclassTransformStaticNotDeterministicConditionalElifAttributes]
# flags: --python-version 3.11 --always-true TRUTH --always-false LIE
from typing import dataclass_transform, Type, TYPE_CHECKING

TRUTH = False  # Is set to --always-true
LIE = True  # Is set to --always-false

@dataclass_transform()
def model(cls: Type) -> Type:
    return cls

@model
class FunctionModel:
    if 123:  # Mypy does not know if it is True or False, so this block is used
        present_1: int
    elif TRUTH:  # Mypy does not know if previous condition is True or False, so it uses also this block
        present_2: int
    else:  # Previous block is for sure True, so this block is skipped
        skipped_1: int
    if 123:
        present_3: int
    elif 123:
        present_4: int
    else:
        present_5: int
    if 123:  # Mypy does not know if it is True or False, so this block is used
        present_6: int
    elif LIE:  # This is for sure False, so the block is skipped used
        skipped_2: int
    else:  # None of the conditions above for sure True, so this block is used
        present_7: int

FunctionModel(
    present_1=1,
    present_2=2,
    present_3=3,
    present_4=4,
    present_5=5,
    present_6=6,
    present_7=7,
)

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]

[case testDataclassTransformFunctionConditionalAttributes]
# flags: --python-version 3.11
from typing import dataclass_transform, Type

@dataclass_transform()
def model(cls: Type) -> Type:
    return cls

def condition() -> bool:
    return True

@model
class FunctionModel:
    if condition():
        x: int
        y: int
        z1: int
    else:
        x: str  # E: Name "x" already defined on line 14
        y: int  # E: Name "y" already defined on line 15
        z2: int

FunctionModel(x=1, y=2, z1=3, z2=4)

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]


[case testDataclassTransformNegatedFunctionConditionalAttributes]
# flags: --python-version 3.11
from typing import dataclass_transform, Type

@dataclass_transform()
def model(cls: Type) -> Type:
    return cls

def condition() -> bool:
    return True

@model
class FunctionModel:
    if not condition():
        x: int
        y: int
        z1: int
    else:
        x: str  # E: Name "x" already defined on line 14
        y: int  # E: Name "y" already defined on line 15
        z2: int

FunctionModel(x=1, y=2, z1=3, z2=4)

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]

[case testDataclassTransformDirectMetaclassNeitherFrozenNorNotFrozen]
# flags: --python-version 3.11
from typing import dataclass_transform, Type

@dataclass_transform()
class Meta(type): ...
class Base(metaclass=Meta):
    base: int
class Foo(Base, frozen=True):
    foo: int
class Bar(Base, frozen=False):
    bar: int


foo = Foo(0, 1)
foo.foo = 5  # E: Property "foo" defined in "Foo" is read-only
foo.base = 6
reveal_type(foo.base)  # N: Revealed type is "builtins.int"
bar = Bar(0, 1)
bar.bar = 5
bar.base = 6
reveal_type(bar.base)  # N: Revealed type is "builtins.int"

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]

[case testDataclassTransformReplace]
from dataclasses import replace
from typing import dataclass_transform, Type

@dataclass_transform()
def my_dataclass(cls: Type) -> Type:
    return cls

@my_dataclass
class Person:
    name: str

p = Person('John')
y = replace(p, name='Bob')  # E: Argument 1 to "replace" has incompatible type "Person"; expected a dataclass

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]

[case testDataclassTransformSimpleDescriptor]
# flags: --python-version 3.11

from typing import dataclass_transform, overload, Any

@dataclass_transform()
def my_dataclass(cls): ...

class Desc:
    @overload
    def __get__(self, instance: None, owner: Any) -> Desc: ...
    @overload
    def __get__(self, instance: object, owner: Any) -> str: ...
    def __get__(self, instance: object | None, owner: Any) -> Desc | str: ...

    def __set__(self, instance: Any, value: str) -> None: ...

@my_dataclass
class C:
    x: Desc
    y: int

C(x='x', y=1)
C(x=1, y=1)  # E: Argument "x" to "C" has incompatible type "int"; expected "str"
reveal_type(C(x='x', y=1).x)  # N: Revealed type is "builtins.str"
reveal_type(C(x='x', y=1).y)  # N: Revealed type is "builtins.int"
reveal_type(C.x)  # N: Revealed type is "__main__.Desc"

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]

[case testDataclassTransformUnannotatedDescriptor]
# flags: --python-version 3.11

from typing import dataclass_transform, overload, Any

@dataclass_transform()
def my_dataclass(cls): ...

class Desc:
    @overload
    def __get__(self, instance: None, owner: Any) -> Desc: ...
    @overload
    def __get__(self, instance: object, owner: Any) -> str: ...
    def __get__(self, instance: object | None, owner: Any) -> Desc | str: ...

    def __set__(*args, **kwargs): ...

@my_dataclass
class C:
    x: Desc
    y: int

C(x='x', y=1)
C(x=1, y=1)
reveal_type(C(x='x', y=1).x)  # N: Revealed type is "builtins.str"
reveal_type(C(x='x', y=1).y)  # N: Revealed type is "builtins.int"
reveal_type(C.x)  # N: Revealed type is "__main__.Desc"

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]

[case testDataclassTransformGenericDescriptor]
# flags: --python-version 3.11

from typing import dataclass_transform, overload, Any, TypeVar, Generic

@dataclass_transform()
def my_dataclass(frozen: bool = False): ...

T = TypeVar("T")

class Desc(Generic[T]):
    @overload
    def __get__(self, instance: None, owner: Any) -> Desc[T]: ...
    @overload
    def __get__(self, instance: object, owner: Any) -> T: ...
    def __get__(self, instance: object | None, owner: Any) -> Desc | T: ...

    def __set__(self, instance: Any, value: T) -> None: ...

@my_dataclass()
class C:
    x: Desc[str]

C(x='x')
C(x=1)  # E: Argument "x" to "C" has incompatible type "int"; expected "str"
reveal_type(C(x='x').x)  # N: Revealed type is "builtins.str"
reveal_type(C.x)  # N: Revealed type is "__main__.Desc[builtins.str]"

@my_dataclass()
class D(C):
    y: Desc[int]

d = D(x='x', y=1)
reveal_type(d.x)  # N: Revealed type is "builtins.str"
reveal_type(d.y)  # N: Revealed type is "builtins.int"
reveal_type(D.x)  # N: Revealed type is "__main__.Desc[builtins.str]"
reveal_type(D.y)  # N: Revealed type is "__main__.Desc[builtins.int]"

@my_dataclass(frozen=True)
class F:
    x: Desc[str] = Desc()

F(x='x')
F(x=1)  # E: Argument "x" to "F" has incompatible type "int"; expected "str"
reveal_type(F(x='x').x)  # N: Revealed type is "builtins.str"
reveal_type(F.x)  # N: Revealed type is "__main__.Desc[builtins.str]"

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]

[case testDataclassTransformGenericDescriptorWithInheritance]
# flags: --python-version 3.11

from typing import dataclass_transform, overload, Any, TypeVar, Generic

@dataclass_transform()
def my_dataclass(cls): ...

T = TypeVar("T")

class Desc(Generic[T]):
    @overload
    def __get__(self, instance: None, owner: Any) -> Desc[T]: ...
    @overload
    def __get__(self, instance: object, owner: Any) -> T: ...
    def __get__(self, instance: object | None, owner: Any) -> Desc | T: ...

    def __set__(self, instance: Any, value: T) -> None: ...

class Desc2(Desc[str]):
    pass

@my_dataclass
class C:
    x: Desc2

C(x='x')
C(x=1)  # E: Argument "x" to "C" has incompatible type "int"; expected "str"
reveal_type(C(x='x').x)  # N: Revealed type is "builtins.str"
reveal_type(C.x)  # N: Revealed type is "__main__.Desc[builtins.str]"

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]

[case testDataclassTransformDescriptorWithDifferentGetSetTypes]
# flags: --python-version 3.11

from typing import dataclass_transform, overload, Any

@dataclass_transform()
def my_dataclass(cls): ...

class Desc:
    @overload
    def __get__(self, instance: None, owner: Any) -> int: ...
    @overload
    def __get__(self, instance: object, owner: Any) -> str: ...
    def __get__(self, instance, owner): ...

    def __set__(self, instance: Any, value: bytes | None) -> None: ...

@my_dataclass
class C:
    x: Desc

c = C(x=b'x')
c = C(x=None)
C(x=1)  # E: Argument "x" to "C" has incompatible type "int"; expected "Optional[bytes]"
reveal_type(c.x)  # N: Revealed type is "builtins.str"
reveal_type(C.x)  # N: Revealed type is "builtins.int"
c.x = b'x'
c.x = 1  # E: Incompatible types in assignment (expression has type "int", variable has type "Optional[bytes]")

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]

[case testDataclassTransformUnsupportedDescriptors]
# flags: --python-version 3.11

from typing import dataclass_transform, overload, Any

@dataclass_transform()
def my_dataclass(cls): ...

class Desc:
    @overload
    def __get__(self, instance: None, owner: Any) -> int: ...
    @overload
    def __get__(self, instance: object, owner: Any) -> str: ...
    def __get__(self, instance, owner): ...

    def __set__(*args, **kwargs) -> None: ...

class Desc2:
    @overload
    def __get__(self, instance: None, owner: Any) -> int: ...
    @overload
    def __get__(self, instance: object, owner: Any) -> str: ...
    def __get__(self, instance, owner): ...

    @overload
    def __set__(self, instance: Any, value: bytes) -> None: ...
    @overload
    def __set__(self) -> None: ...
    def __set__(self, *args, **kawrga) -> None: ...

@my_dataclass
class C:
    x: Desc  # E: Unsupported signature for "__set__" in "Desc"
    y: Desc2  # E: Unsupported "__set__" in "Desc2"

[typing fixtures/typing-full.pyi]
[builtins fixtures/dataclasses.pyi]