Rename Red Knot (#17820)

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Micha Reiser 2025-05-03 19:49:15 +02:00 committed by GitHub
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# `assert_never`
## Basic functionality
`assert_never` makes sure that the type of the argument is `Never`. If it is not, a
`type-assertion-failure` diagnostic is emitted.
```py
from typing_extensions import assert_never, Never, Any
from ty_extensions import Unknown
def _(never: Never, any_: Any, unknown: Unknown, flag: bool):
assert_never(never) # fine
assert_never(0) # error: [type-assertion-failure]
assert_never("") # error: [type-assertion-failure]
assert_never(None) # error: [type-assertion-failure]
assert_never([]) # error: [type-assertion-failure]
assert_never({}) # error: [type-assertion-failure]
assert_never(()) # error: [type-assertion-failure]
assert_never(1 if flag else never) # error: [type-assertion-failure]
assert_never(any_) # error: [type-assertion-failure]
assert_never(unknown) # error: [type-assertion-failure]
```
## Use case: Type narrowing and exhaustiveness checking
```toml
[environment]
python-version = "3.10"
```
`assert_never` can be used in combination with type narrowing as a way to make sure that all cases
are handled in a series of `isinstance` checks or other narrowing patterns that are supported.
```py
from typing_extensions import assert_never, Literal
class A: ...
class B: ...
class C: ...
def if_else_isinstance_success(obj: A | B):
if isinstance(obj, A):
pass
elif isinstance(obj, B):
pass
elif isinstance(obj, C):
pass
else:
assert_never(obj)
def if_else_isinstance_error(obj: A | B):
if isinstance(obj, A):
pass
# B is missing
elif isinstance(obj, C):
pass
else:
# error: [type-assertion-failure] "Expected type `Never`, got `B & ~A & ~C` instead"
assert_never(obj)
def if_else_singletons_success(obj: Literal[1, "a"] | None):
if obj == 1:
pass
elif obj == "a":
pass
elif obj is None:
pass
else:
assert_never(obj)
def if_else_singletons_error(obj: Literal[1, "a"] | None):
if obj == 1:
pass
elif obj is "A": # "A" instead of "a"
pass
elif obj is None:
pass
else:
# error: [type-assertion-failure] "Expected type `Never`, got `Literal["a"]` instead"
assert_never(obj)
def match_singletons_success(obj: Literal[1, "a"] | None):
match obj:
case 1:
pass
case "a":
pass
case None:
pass
case _ as obj:
# TODO: Ideally, we would not emit an error here
# error: [type-assertion-failure] "Expected type `Never`, got `@Todo"
assert_never(obj)
def match_singletons_error(obj: Literal[1, "a"] | None):
match obj:
case 1:
pass
case "A": # "A" instead of "a"
pass
case None:
pass
case _ as obj:
# TODO: We should emit an error here, but the message should
# show the type `Literal["a"]` instead of `@Todo(…)`.
# error: [type-assertion-failure] "Expected type `Never`, got `@Todo"
assert_never(obj)
```

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# `assert_type`
## Basic
```py
from typing_extensions import assert_type
def _(x: int):
assert_type(x, int) # fine
assert_type(x, str) # error: [type-assertion-failure]
```
## Narrowing
The asserted type is checked against the inferred type, not the declared type.
```toml
[environment]
python-version = "3.10"
```
```py
from typing_extensions import assert_type
def _(x: int | str):
if isinstance(x, int):
reveal_type(x) # revealed: int
assert_type(x, int) # fine
```
## Equivalence
The actual type must match the asserted type precisely.
```py
from typing import Any, Type, Union
from typing_extensions import assert_type
# Subtype does not count
def _(x: bool):
assert_type(x, int) # error: [type-assertion-failure]
def _(a: type[int], b: type[Any]):
assert_type(a, type[Any]) # error: [type-assertion-failure]
assert_type(b, type[int]) # error: [type-assertion-failure]
# The expression constructing the type is not taken into account
def _(a: type[int]):
assert_type(a, Type[int]) # fine
```
## Gradual types
```py
from typing import Any
from typing_extensions import Literal, assert_type
from ty_extensions import Unknown
# Any and Unknown are considered equivalent
def _(a: Unknown, b: Any):
reveal_type(a) # revealed: Unknown
assert_type(a, Any) # fine
reveal_type(b) # revealed: Any
assert_type(b, Unknown) # fine
def _(a: type[Unknown], b: type[Any]):
reveal_type(a) # revealed: type[Unknown]
assert_type(a, type[Any]) # fine
reveal_type(b) # revealed: type[Any]
assert_type(b, type[Unknown]) # fine
```
## Tuples
Tuple types with the same elements are the same.
```py
from typing_extensions import Any, assert_type
from ty_extensions import Unknown
def _(a: tuple[int, str, bytes]):
assert_type(a, tuple[int, str, bytes]) # fine
assert_type(a, tuple[int, str]) # error: [type-assertion-failure]
assert_type(a, tuple[int, str, bytes, None]) # error: [type-assertion-failure]
assert_type(a, tuple[int, bytes, str]) # error: [type-assertion-failure]
def _(a: tuple[Any, ...], b: tuple[Unknown, ...]):
assert_type(a, tuple[Any, ...]) # fine
assert_type(a, tuple[Unknown, ...]) # fine
assert_type(b, tuple[Unknown, ...]) # fine
assert_type(b, tuple[Any, ...]) # fine
```
## Unions
Unions with the same elements are the same, regardless of order.
```toml
[environment]
python-version = "3.10"
```
```py
from typing_extensions import assert_type
def _(a: str | int):
assert_type(a, str | int)
assert_type(a, int | str)
```
## Intersections
Intersections are the same when their positive and negative parts are respectively the same,
regardless of order.
```py
from typing_extensions import assert_type
from ty_extensions import Intersection, Not
class A: ...
class B: ...
class C: ...
class D: ...
def _(a: A):
if isinstance(a, B) and not isinstance(a, C) and not isinstance(a, D):
reveal_type(a) # revealed: A & B & ~C & ~D
assert_type(a, Intersection[A, B, Not[C], Not[D]])
assert_type(a, Intersection[B, A, Not[D], Not[C]])
```

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# `cast`
`cast()` takes two arguments, one type and one value, and returns a value of the given type.
The (inferred) type of the value and the given type do not need to have any correlation.
```py
from typing import Literal, cast, Any
reveal_type(True) # revealed: Literal[True]
reveal_type(cast(str, True)) # revealed: str
reveal_type(cast("str", True)) # revealed: str
reveal_type(cast(int | str, 1)) # revealed: int | str
reveal_type(cast(val="foo", typ=int)) # revealed: int
# error: [invalid-type-form]
reveal_type(cast(Literal, True)) # revealed: Unknown
# error: [invalid-type-form]
reveal_type(cast(1, True)) # revealed: Unknown
# error: [missing-argument] "No argument provided for required parameter `val` of function `cast`"
cast(str)
# error: [too-many-positional-arguments] "Too many positional arguments to function `cast`: expected 2, got 3"
cast(str, b"ar", "foo")
def function_returning_int() -> int:
return 10
# error: [redundant-cast] "Value is already of type `int`"
cast(int, function_returning_int())
def function_returning_any() -> Any:
return "blah"
# error: [redundant-cast] "Value is already of type `Any`"
cast(Any, function_returning_any())
```
Complex type expressions (which may be unsupported) do not lead to spurious `[redundant-cast]`
diagnostics.
```py
from typing import Callable
def f(x: Callable[[dict[str, int]], None], y: tuple[dict[str, int]]):
a = cast(Callable[[list[bytes]], None], x)
b = cast(tuple[list[bytes]], y)
```
A cast from `Todo` or `Unknown` to `Any` is not considered a "redundant cast": even if these are
understood as gradually equivalent types by ty, they are understood as different types by human
readers of ty's output. For `Unknown` in particular, we may consider it differently in the context
of some opt-in diagnostics, as it indicates that the gradual type has come about due to an invalid
annotation, missing annotation or missing type argument somewhere.
```py
from ty_extensions import Unknown
def f(x: Any, y: Unknown, z: Any | str | int):
a = cast(dict[str, Any], x)
reveal_type(a) # revealed: dict[str, Any]
b = cast(Any, y)
reveal_type(b) # revealed: Any
c = cast(str | int | Any, z) # error: [redundant-cast]
```