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import dataclasses
from dataclasses import dataclass, field
from typing import Any, Dict, List, Optional, Tuple, Union
import pytest
from omegaconf import II, MISSING, SI
from tests import Color
# skip test if dataclasses are not available
pytest.importorskip("dataclasses")
class NotStructuredConfig:
name: str = "Bond"
age: int = 7
@dataclass
class StructuredWithInvalidField:
bar: NotStructuredConfig = NotStructuredConfig()
@dataclass
class User:
name: str = MISSING
age: int = MISSING
@dataclass
class UserList:
list: List[User] = MISSING
@dataclass
class UserDict:
dict: Dict[str, User] = MISSING
@dataclass
class AnyTypeConfig:
with_default: Any = "Can get any type at runtime"
null_default: Any = None
# Access to this prior to assigning a value to it will result in
# a MissingMandatoryValue exception.
# Equivalent to "???" in YAML files
mandatory_missing: Any = MISSING
# interpolation, will inherit the type and value of `with_default'
interpolation: Any = II("with_default")
# specific types assigned
int_default: Any = 12
float_default: Any = 10.0
str_default: Any = "foobar"
bool_default: Any = True
enum_default: Any = Color.BLUE
# test mixing with variable with a specific type annotation
typed_int_default: int = 10
@dataclass
class BoolConfig:
# with default value
with_default: bool = True
# default is None
null_default: Optional[bool] = None
# explicit no default
mandatory_missing: bool = MISSING
# interpolation, will inherit the type and value of `with_default'
interpolation: bool = II("with_default")
@dataclass
class IntegersConfig:
# with default value
with_default: int = 10
# default is None
null_default: Optional[int] = None
# explicit no default
mandatory_missing: int = MISSING
# interpolation, will inherit the type and value of `with_default'
interpolation: int = II("with_default")
@dataclass
class StringConfig:
# with default value
with_default: str = "foo"
# default is None
null_default: Optional[str] = None
# explicit no default
mandatory_missing: str = MISSING
# interpolation, will inherit the type and value of `with_default'
interpolation: str = II("with_default")
@dataclass
class FloatConfig:
# with default value
with_default: float = 0.10
# default is None
null_default: Optional[float] = None
# explicit no default
mandatory_missing: float = MISSING
# interpolation, will inherit the type and value of `with_default'
interpolation: float = II("with_default")
@dataclass
class EnumConfig:
# with default value
with_default: Color = Color.BLUE
# default is None
null_default: Optional[Color] = None
# explicit no default
mandatory_missing: Color = MISSING
# interpolation, will inherit the type and value of `with_default'
interpolation: Color = II("with_default")
@dataclass
class ConfigWithList:
list1: List[int] = field(default_factory=lambda: [1, 2, 3])
list2: Tuple[int, int, int] = field(default_factory=lambda: (1, 2, 3))
missing: List[int] = MISSING
@dataclass
class ConfigWithDict:
dict1: Dict[str, Any] = field(default_factory=lambda: {"foo": "bar"})
missing: Dict[str, Any] = MISSING
@dataclass
class ConfigWithDict2:
dict1: Dict[str, int] = field(default_factory=lambda: {"foo": 2})
@dataclass
class Nested:
# with default value
with_default: int = 10
# default is None
null_default: Optional[int] = None
# explicit no default
mandatory_missing: int = MISSING
# Note that since relative interpolations are not yet supported,
# Nested configs and interpolations does not play too well together
interpolation: int = II("value_at_root")
@dataclass
class NestedSubclass(Nested):
additional: int = 20
@dataclass
class NestedConfig:
default_value: Nested
# with default value
user_provided_default: Nested = Nested(with_default=42)
value_at_root: int = 1000
@dataclass
class NestedWithAny:
var: Any = Nested()
@dataclass
class NoDefaultErrors:
no_default: Any
@dataclass
class Interpolation:
x: int = 100
y: int = 200
# The real type of y is int, cast the interpolation string
# to help static type checkers to see this truth
z1: int = II("x")
z2: str = SI("${x}_${y}")
@dataclass
class BoolOptional:
with_default: Optional[bool] = True
as_none: Optional[bool] = None
not_optional: bool = True
@dataclass
class IntegerOptional:
with_default: Optional[int] = 1
as_none: Optional[int] = None
not_optional: int = 1
@dataclass
class FloatOptional:
with_default: Optional[float] = 1.0
as_none: Optional[float] = None
not_optional: float = 1
@dataclass
class StringOptional:
with_default: Optional[str] = "foo"
as_none: Optional[str] = None
not_optional: str = "foo"
@dataclass
class ListOptional:
with_default: Optional[List[int]] = field(default_factory=lambda: [1, 2, 3])
as_none: Optional[List[int]] = None
not_optional: List[int] = field(default_factory=lambda: [1, 2, 3])
@dataclass
class TupleOptional:
with_default: Optional[Tuple[int, int, int]] = field(
default_factory=lambda: (1, 2, 3)
)
as_none: Optional[Tuple[int, int, int]] = None
not_optional: Tuple[int, int, int] = field(default_factory=lambda: (1, 2, 3))
@dataclass
class EnumOptional:
with_default: Optional[Color] = Color.BLUE
as_none: Optional[Color] = None
not_optional: Color = Color.BLUE
@dataclass
class DictOptional:
with_default: Optional[Dict[str, int]] = field(default_factory=lambda: {"a": 10})
as_none: Optional[Dict[str, int]] = None
not_optional: Dict[str, int] = field(default_factory=lambda: {"a": 10})
@dataclass
class StructuredOptional:
with_default: Optional[Nested] = Nested()
as_none: Optional[Nested] = None
not_optional: Nested = Nested()
@dataclass(frozen=True)
class FrozenClass:
user: User = User(name="Bart", age=10)
x: int = 10
list: List[int] = field(default_factory=lambda: [1, 2, 3])
@dataclass
class ContainsFrozen:
x: int = 10
frozen: FrozenClass = FrozenClass()
@dataclass
class WithTypedList:
list: List[int] = field(default_factory=lambda: [1, 2, 3])
@dataclass
class WithTypedDict:
dict: Dict[str, int] = field(default_factory=lambda: {"foo": 10, "bar": 20})
@dataclass
class ErrorDictIntKey:
# invalid dict key, must be str
dict: Dict[int, str] = field(default_factory=lambda: {10: "foo", 20: "bar"})
class RegularClass:
pass
@dataclass
class ErrorDictUnsupportedValue:
# invalid dict value type, not one of the supported types
dict: Dict[str, RegularClass] = field(default_factory=dict)
@dataclass
class ErrorListUnsupportedValue:
# invalid dict value type, not one of the supported types
dict: List[RegularClass] = field(default_factory=list)
@dataclass
class ErrorListUnsupportedStructuredConfig:
# Nesting of structured configs in Dict and List is not currently supported
list: List[User] = field(default_factory=list)
@dataclass
class ListExamples:
any: List[Any] = field(default_factory=lambda: [1, "foo"])
ints: List[int] = field(default_factory=lambda: [1, 2])
strings: List[str] = field(default_factory=lambda: ["foo", "bar"])
booleans: List[bool] = field(default_factory=lambda: [True, False])
colors: List[Color] = field(default_factory=lambda: [Color.RED, Color.GREEN])
@dataclass
class TupleExamples:
any: Tuple[Any, Any] = field(default_factory=lambda: (1, "foo"))
ints: Tuple[int, int] = field(default_factory=lambda: (1, 2))
strings: Tuple[str, str] = field(default_factory=lambda: ("foo", "bar"))
booleans: Tuple[bool, bool] = field(default_factory=lambda: (True, False))
colors: Tuple[Color, Color] = field(
default_factory=lambda: (Color.RED, Color.GREEN)
)
@dataclass
class DictExamples:
any: Dict[str, Any] = field(default_factory=lambda: {"a": 1, "b": "foo"})
ints: Dict[str, int] = field(default_factory=lambda: {"a": 10, "b": 20})
strings: Dict[str, str] = field(default_factory=lambda: {"a": "foo", "b": "bar"})
booleans: Dict[str, bool] = field(default_factory=lambda: {"a": True, "b": False})
colors: Dict[str, Color] = field(
default_factory=lambda: {
"red": Color.RED,
"green": Color.GREEN,
"blue": Color.BLUE,
}
)
@dataclass
class DictWithEnumKeys:
enum_key: Dict[Color, str] = field(
default_factory=lambda: {Color.RED: "red", Color.GREEN: "green"}
)
@dataclass
class DictOfObjects:
users: Dict[str, User] = field(
default_factory=lambda: {"joe": User(name="Joe", age=18)}
)
@dataclass
class ListOfObjects:
users: List[User] = field(default_factory=lambda: [User(name="Joe", age=18)])
class DictSubclass:
@dataclass
class Str2Str(Dict[str, str]):
pass
@dataclass
class Color2Str(Dict[Color, str]):
pass
@dataclass
class Color2Color(Dict[Color, Color]):
pass
@dataclass
class Str2User(Dict[str, User]):
pass
@dataclass
class Str2StrWithField(Dict[str, str]):
foo: str = "bar"
@dataclass
class Str2IntWithStrField(Dict[str, int]):
foo: str = "bar"
class Error:
@dataclass
class User2Str(Dict[User, str]):
pass
@dataclass
class Plugin:
name: str = MISSING
params: Any = MISSING
@dataclass
class ConcretePlugin(Plugin):
name: str = "foobar_plugin"
@dataclass
class FoobarParams:
foo: int = 10
params: FoobarParams = FoobarParams()
@dataclass
class PluginWithAdditionalField(Plugin):
name: str = "foobar2_plugin"
additional: int = 10
# Does not extend Plugin, cannot be assigned or merged
@dataclass
class FaultyPlugin:
name: str = "faulty_plugin"
@dataclass
class PluginHolder:
none: Optional[Plugin] = None
missing: Plugin = MISSING
plugin: Plugin = Plugin()
plugin2: Plugin = ConcretePlugin()
@dataclass
class LinkedList:
next: Optional["LinkedList"] = None
value: Any = MISSING
class MissingTest:
@dataclass
class Missing1:
head: LinkedList = MISSING
@dataclass
class Missing2:
head: LinkedList = LinkedList(next=MISSING, value=1)
@dataclass
class NestedWithNone:
plugin: Optional[Plugin] = None
@dataclass
class UnionError:
x: Union[int, str] = 10
@dataclass
class WithNativeMISSING:
num: int = dataclasses.MISSING # type: ignore
@dataclass
class MissingStructuredConfigField:
plugin: Plugin = MISSING
@dataclass
class ListClass:
list: List[int] = field(default_factory=lambda: [])
tuple: Tuple[int, int] = field(default_factory=lambda: (1, 2))