# Narrowing for `in` conditionals

## `in` for tuples

```py
def _(x: int):
    if x in (1, 2, 3):
        reveal_type(x)  # revealed: Literal[1, 2, 3, True]
    else:
        reveal_type(x)  # revealed: int & ~Literal[1] & ~Literal[True] & ~Literal[2] & ~Literal[3]
```

```py
def _(x: str):
    if x in ("a", "b", "c"):
        reveal_type(x)  # revealed: Literal["a", "b", "c"]
    else:
        reveal_type(x)  # revealed: str & ~Literal["a"] & ~Literal["b"] & ~Literal["c"]
```

```py
def _(x: bytes):
    if x in (b"a", b"b"):
        reveal_type(x)  # revealed: Literal[b"a", b"b"]
```

Membership in a container with literal elements narrows a broad builtin type to those literals:

```py
from typing import Literal

MyType = Literal["test1", "test2"]

def from_list(value: str, valid_values: list[MyType]) -> MyType:
    if value in valid_values:
        reveal_type(value)  # revealed: Literal["test1", "test2"]
        return value
    return "test1"

def from_dict(value: str, valid_values: dict[MyType, int]) -> int | None:
    if value in valid_values:
        reveal_type(value)  # revealed: Literal["test1", "test2"]
        return valid_values[value]
    return None
```

```py
from typing import Literal

def _(x: Literal[1, 2, "a", "b", False, b"abc"]):
    if x in (1,):
        reveal_type(x)  # revealed: Literal[1]
    elif x in (2, "a"):
        reveal_type(x)  # revealed: Literal[2, "a"]
    elif x in (b"abc",):
        reveal_type(x)  # revealed: Literal[b"abc"]
    elif x not in (3,):
        reveal_type(x)  # revealed: Literal["b", False]
    else:
        reveal_type(x)  # revealed: Never
```

```py
def _(x: Literal["a", "b", "c", 1]):
    if x in ("a", "b", "c", 2):
        reveal_type(x)  # revealed: Literal["a", "b", "c"]
    else:
        reveal_type(x)  # revealed: Literal[1]
```

## `in` for PEP 695 aliases

```toml
[environment]
python-version = "3.12"
```

```py
from typing import Literal, assert_never

type Foo = Literal["a", "b", "c", "d"]

def _(x: Foo):
    if x in ("a", "b"):
        reveal_type(x)  # revealed: Literal["a", "b"]
    else:
        reveal_type(x)  # revealed: Literal["c", "d"]

def _(x: Foo) -> str:
    if x in ("a", "b"):
        return "AB"
    match x:
        case "c":
            return "C"
        case "d":
            return "D"
        case _ as never:
            assert_never(never)
```

## `in` for mixed PEP 695 aliases

```toml
[environment]
python-version = "3.12"
```

```py
from typing import Literal

type Foo = Literal["a", "b", "c"] | int

def _(x: Foo):
    if x in ("a", "b"):
        reveal_type(x)  # revealed: Literal["a", "b"]
    else:
        reveal_type(x)  # revealed: Literal["c"] | int

def _(x: Foo):
    if x not in ("a", "c"):
        reveal_type(x)  # revealed: Literal["b"] | int
    else:
        reveal_type(x)  # revealed: Literal["a", "c"]
```

## Enabling strict literal narrowing for membership

With strict literal narrowing enabled, a broad union arm is preserved when a membership test
succeeds, while literal arms are still narrowed safely:

```toml
[environment]
python-version = "3.12"

[analysis]
strict-literal-narrowing = true
```

```py
from typing import Literal

type Foo = Literal["a", "b", "c"] | int

def _(x: Foo):
    if x in ("a", "b"):
        reveal_type(x)  # revealed: Literal["a", "b"] | int
```

## `in` for `str` and literal strings

```py
def _(x: str):
    if x in "abc":
        reveal_type(x)  # revealed: str
    else:
        reveal_type(x)  # revealed: str & ~Literal["a"] & ~Literal["b"] & ~Literal["c"]
```

Per-character exclusions are limited to haystacks of at most 128 characters. Longer haystacks do not
synthesize a large intersection for a broad `str`, but they still narrow subjects that are already
unions of string literals.

```py
from typing import Literal

def at_exclusion_limit(x: str):
    if x in (
        "aaaaaaaaaaaaaaaa"
        "aaaaaaaaaaaaaaaa"
        "aaaaaaaaaaaaaaaa"
        "aaaaaaaaaaaaaaaa"
        "aaaaaaaaaaaaaaaa"
        "aaaaaaaaaaaaaaaa"
        "aaaaaaaaaaaaaaaa"
        "aaaaaaaaaaaaaaaa"
    ):
        reveal_type(x)  # revealed: str
    else:
        reveal_type(x)  # revealed: str & ~Literal["a"]

def above_exclusion_limit(x: str):
    if x in (
        "aaaaaaaaaaaaaaaa"
        "aaaaaaaaaaaaaaaa"
        "aaaaaaaaaaaaaaaa"
        "aaaaaaaaaaaaaaaa"
        "aaaaaaaaaaaaaaaa"
        "aaaaaaaaaaaaaaaa"
        "aaaaaaaaaaaaaaaa"
        "aaaaaaaaaaaaaaaa"
        "a"
    ):
        reveal_type(x)  # revealed: str
    else:
        reveal_type(x)  # revealed: str

def literal_union_above_exclusion_limit(x: Literal["a", "z"]):
    if x in (
        "aaaaaaaaaaaaaaaa"
        "aaaaaaaaaaaaaaaa"
        "aaaaaaaaaaaaaaaa"
        "aaaaaaaaaaaaaaaa"
        "aaaaaaaaaaaaaaaa"
        "aaaaaaaaaaaaaaaa"
        "aaaaaaaaaaaaaaaa"
        "aaaaaaaaaaaaaaaa"
        "a"
    ):
        reveal_type(x)  # revealed: Literal["a"]
    else:
        reveal_type(x)  # revealed: Literal["z"]
```

```py
from typing import Literal, TypeVar

T = TypeVar("T", Literal["a"], Literal["d"])

def _(x: Literal["a", "b", "c", "d"]):
    if x in "abc":
        reveal_type(x)  # revealed: Literal["a", "b", "c"]
    else:
        reveal_type(x)  # revealed: Literal["d"]

def substring(x: Literal["", "ab", "z"]):
    if x in "abc":
        reveal_type(x)  # revealed: Literal["", "ab"]
    else:
        reveal_type(x)  # revealed: Literal["z"]

def constrained_substring(x: T):
    if x in "abc":
        reveal_type(x)  # revealed: T@constrained_substring & Literal["a"]
    else:
        reveal_type(x)  # revealed: T@constrained_substring & Literal["d"]

def union_literal_haystack(x: Literal["a", "ab", "z"], flag: bool):
    values = "abc" if flag else "def"
    if x in values:
        reveal_type(x)  # revealed: Literal["a", "ab"]
    else:
        reveal_type(x)  # revealed: Literal["a", "ab", "z"]

def mixed_literal_union_haystack(
    x: Literal["a", "z", "missing"],
    values: Literal["abc"] | tuple[Literal["z"]],
):
    if x in values:
        reveal_type(x)  # revealed: Literal["a", "z"]
```

```py
def _(x: Literal["a", "b", "c", "e"]):
    if x in "abcd":
        reveal_type(x)  # revealed: Literal["a", "b", "c"]
    else:
        reveal_type(x)  # revealed: Literal["e"]
```

```py
def _(x: Literal[1, "a", "b", "c", "d"]):
    # error: [unsupported-operator]
    if x in "abc":
        reveal_type(x)  # revealed: Literal["a", "b", "c"]
    else:
        reveal_type(x)  # revealed: Literal[1, "d"]

def empty_string(x: str):
    if x in "":
        reveal_type(x)  # revealed: str

def empty_bytes(x: bytes):
    if x in b"":
        reveal_type(x)  # revealed: bytes
```

## Byte containment

`bytes` and `bytearray` accept byte subsequences and objects implementing `__index__`, not only the
integers described by their iteration type. We therefore leave the subject unchanged:

```py
from typing import Literal, final

@final
class ByteSubstring(bytes): ...

@final
class ByteIndex:
    def __index__(self) -> int:
        return 97

def bytes_subsequence(value: ByteSubstring | Literal[97]) -> None:
    if value in b"abc":
        reveal_type(value)  # revealed: ByteSubstring | Literal[97]
    else:
        reveal_type(value)  # revealed: ByteSubstring | Literal[97]

def bytes_index(value: ByteIndex | Literal[97], values: bytes) -> None:
    if value in values:
        reveal_type(value)  # revealed: ByteIndex | Literal[97]
    else:
        reveal_type(value)  # revealed: ByteIndex | Literal[97]

def bytes_union_container(
    value: Literal[b"a", 97],
    values: bytes | tuple[int, ...],
) -> None:
    if value in values:
        reveal_type(value)  # revealed: Literal[b"a", 97]
    else:
        reveal_type(value)  # revealed: Literal[b"a", 97]

def bytearray_index(value: ByteIndex | Literal[97], values: bytearray) -> None:
    if value in values:
        reveal_type(value)  # revealed: ByteIndex | Literal[97]
    else:
        reveal_type(value)  # revealed: ByteIndex | Literal[97]

def bytearray_subsequence(value: Literal[b"a", 97], values: bytearray) -> None:
    if value in values:
        reveal_type(value)  # revealed: Literal[b"a", 97]
    else:
        reveal_type(value)  # revealed: Literal[b"a", 97]
```

## Assignment expressions

```py
from typing import Literal

def f() -> Literal[1, 2, 3]:
    return 1

if (x := f()) in (1,):
    reveal_type(x)  # revealed: Literal[1]
else:
    reveal_type(x)  # revealed: Literal[2, 3]
```

## Union with `Literal`, `None` and `int`

```py
from typing import Literal

def test(x: Literal["a", "b", "c"] | None | int = None):
    if x in ("a", "b"):
        reveal_type(x)  # revealed: Literal["a", "b"]
    else:
        reveal_type(x)  # revealed: Literal["c"] | None | int

def broad_element_type(x: str | None, values: dict[str, int]):
    if x in values:
        reveal_type(x)  # revealed: str
    else:
        reveal_type(x)  # revealed: str | None

def broad_element_type_with_unknown(values: dict[str, int]):
    x = [None][0]
    if x in values:
        reveal_type(x)  # revealed: Unknown
    else:
        reveal_type(x)  # revealed: None | Unknown
```

## Correlated constrained type variables

Membership in a tuple containing a constrained type variable can preserve the relationship between
that type variable and a broader subject type. In the first example, a successful membership test
proves that `x` has the same enum-literal constraint as `y`, so returning `x` as `T` is valid.
Equality compatibility alone is not enough to establish that relationship: `AlwaysEqual` can compare
equal to every `U`, but it does not become a `U`, so the return in the second example remains
invalid.

```py
from enum import Enum
from typing import Literal, TypeVar

class E(Enum):
    A = 1
    B = 2

T = TypeVar("T", Literal[E.A], Literal[E.B])

def correlated_typevar(x: E, y: T) -> T:
    if x in (y,):
        reveal_type(x)  # revealed: T@correlated_typevar
        return x
    return y

U = TypeVar("U", int, str)

class AlwaysEqual:
    def __eq__(self, other: object) -> Literal[True]:
        return True

def unrelated_typevar(x: AlwaysEqual, y: U) -> U:
    if x in (y,):
        reveal_type(x)  # revealed: AlwaysEqual
        # error: [invalid-return-type] "Return type does not match returned value: expected `U@unrelated_typevar`, found `AlwaysEqual`"
        return x
    return y
```

## Direct `not in` conditional

```py
from typing import Any, Literal, TypeVar

T = TypeVar("T", Literal[1], Literal[2])

def test(x: Literal["a", "b", "c"] | None | int = None):
    if x not in ("a", "c"):
        # Negative narrowing remains conservative because an `int` subclass could compare equal
        # to a string literal.
        reveal_type(x)  # revealed: Literal["b"] | None | int
    else:
        reveal_type(x)  # revealed: Literal["a", "c"]

def broad_set_element(x: Literal[1, 2], values: set[int]) -> None:
    if x not in values:
        reveal_type(x)  # revealed: Literal[1, 2]
    else:
        reveal_type(x)  # revealed: Literal[1, 2]

def broad_dict_element(x: str | None, values: dict[str, int]) -> None:
    if x not in values:
        reveal_type(x)  # revealed: str | None
    else:
        reveal_type(x)  # revealed: str

def union_tuple_slot(x: Literal[1, 2], values: tuple[Literal[1, 2]]) -> None:
    if x not in values:
        reveal_type(x)  # revealed: Literal[1, 2]
    else:
        reveal_type(x)  # revealed: Literal[1, 2]

def union_tuple_slot_with_exact_value(
    x: Literal[1, 2, 3],
    values: tuple[Literal[1, 2], Literal[3]],
) -> None:
    if x not in values:
        reveal_type(x)  # revealed: Literal[1, 2]
    else:
        reveal_type(x)  # revealed: Literal[1, 2, 3]

def equality_equivalent_union_slot(
    x: Literal[0, False, 2],
    values: tuple[Literal[0, False]],
) -> None:
    if x not in values:
        reveal_type(x)  # revealed: Literal[2]
    else:
        reveal_type(x)  # revealed: Literal[0, False]

def correlated_typevar(x: T | None, y: T) -> None:
    if x not in (y,):
        reveal_type(x)  # revealed: None

def tuple_with_any_slot(x: str | None, missing: Any) -> None:
    if x not in (missing, None):
        reveal_type(x)  # revealed: str
    else:
        reveal_type(x)  # revealed: str | None

def local_literal_rhs(x: str | None) -> None:
    unavailable = [None, ""]
    if x not in unavailable:
        # TODO: This should narrow to `str` if we can prove that the local
        # literal collection has not been mutated or aliased before the test.
        reveal_type(x)  # revealed: str | None
    else:
        reveal_type(x)  # revealed: str | None

def mutable_global_rhs(x: str | None, unavailable: set[str | None]) -> None:
    if x not in unavailable:
        reveal_type(x)  # revealed: str | None
    else:
        reveal_type(x)  # revealed: str | None
```

## Membership and equality

When containment is known to compare items using equality, we can remove a union member that cannot
compare equal to any item in the container. A `TypedDict` cannot compare equal to a string, and a
final class with the default identity-based equality cannot compare equal to an integer. We retain
types such as `int` and classes with custom equality when they might still match an item.

```py
from typing import Literal, TypedDict, final

class Payload(TypedDict):
    value: int

@final
class Token: ...

@final
class AlwaysEqual:
    def __eq__(self, other: object) -> bool:
        return True

def typed_dict(x: Payload | Literal["missing"]):
    if x in ("missing",):
        reveal_type(x)  # revealed: Literal["missing"]

def default_equality(x: Token | Literal[1]):
    if x in (1,):
        reveal_type(x)  # revealed: Literal[1]

def overlapping_union_member(x: int | Literal["missing"]):
    if x in ("missing", 1):
        reveal_type(x)  # revealed: Literal["missing", 1, True]

def custom_equality(x: AlwaysEqual | Literal[1]):
    if x in (1,):
        reveal_type(x)  # revealed: AlwaysEqual | Literal[1]

def empty_tuple(x: Payload | Literal["missing"], values: tuple[()]):
    if x in values:
        reveal_type(x)  # revealed: Never
```

## Custom containment methods

### Classes that define `__contains__`

When a class defines `__contains__`, membership need not check the values produced by iteration. The
iterator's element type therefore cannot narrow the value being tested:

```py
from collections.abc import Iterator
from typing import Literal

class ContainsEverything:
    def __iter__(self) -> Iterator[Literal["missing"]]:
        yield "missing"

    def __contains__(self, value: object) -> bool:
        return True

def custom_contains(
    x: Literal["present", "missing"],
    values: ContainsEverything,
):
    if x in values:
        reveal_type(x)  # revealed: Literal["present", "missing"]
```

### Classes that only define `__iter__`

A subclass can add `__contains__`, so an `__iter__` annotation on a non-final class is not enough to
narrow a membership test. A final class cannot gain a new `__contains__` method through subclassing;
if it only defines `__iter__`, membership is known to check the iterated values:

```py
from collections.abc import Iterator
from typing import Literal, TypedDict, final

class Payload(TypedDict):
    value: int

class IteratesMissing:
    def __iter__(self) -> Iterator[Literal["missing"]]:
        yield "missing"

def non_final_iterable(x: Payload | Literal["missing"], values: IteratesMissing):
    if x in values:
        reveal_type(x)  # revealed: Payload | Literal["missing"]

@final
class FinalIterable:
    def __iter__(self) -> Iterator[Literal["missing"]]:
        yield "missing"

def final_iterable(x: Payload | Literal["missing"], values: FinalIterable):
    if x in values:
        reveal_type(x)  # revealed: Literal["missing"]
```

### Built-in containers

For `list`, `set`, `frozenset`, and `tuple`, ty uses the container's element type to describe the
values compared by membership. For `dict`, it uses the key type.

```py
from typing import Literal, TypedDict

class Payload(TypedDict):
    value: int

def builtin_list(x: Payload | Literal["missing"], values: list[Literal["missing"]]):
    if x in values:
        reveal_type(x)  # revealed: Literal["missing"]

def builtin_set(x: Payload | Literal["missing"], values: set[Literal["missing"]]):
    if x in values:
        reveal_type(x)  # revealed: Literal["missing"]

def builtin_frozenset(
    x: Payload | Literal["missing"],
    values: frozenset[Literal["missing"]],
):
    if x in values:
        reveal_type(x)  # revealed: Literal["missing"]

def builtin_dict(
    x: Payload | Literal["missing"],
    values: dict[Literal["missing"], object],
):
    if x in values:
        reveal_type(x)  # revealed: Literal["missing"]

def builtin_tuple(x: Payload | Literal["missing"], values: tuple[Literal["missing"], ...]):
    if x in values:
        reveal_type(x)  # revealed: Literal["missing"]
```

### Inherited built-in containment

For subclasses of these built-ins, ty intentionally assumes that an unseen runtime subclass will not
add an incompatible `__contains__`. This is unsound: only a statically visible custom implementation
disables narrowing today. A future diagnostic should reject incompatible overrides at their
definition.

#### Inherited built-in implementations

When no custom `__contains__` is visible in the MRO, a subclass uses the element or key type of its
specialized built-in base.

```py
from typing import Literal, TypedDict

class Payload(TypedDict):
    value: int

class MissingList(list[Literal["missing"]]): ...
class MissingSet(set[Literal["missing"]]): ...
class MissingFrozenSet(frozenset[Literal["missing"]]): ...
class MissingDict(dict[Literal["missing"], object]): ...
class MissingTuple(tuple[Literal["missing"], ...]): ...

def inherited_list_contains(x: Payload | Literal["missing"], values: MissingList):
    if x in values:
        reveal_type(x)  # revealed: Literal["missing"]

def inherited_set_contains(x: Payload | Literal["missing"], values: MissingSet):
    if x in values:
        reveal_type(x)  # revealed: Literal["missing"]

def inherited_frozenset_contains(
    x: Payload | Literal["missing"],
    values: MissingFrozenSet,
):
    if x in values:
        reveal_type(x)  # revealed: Literal["missing"]

def inherited_dict_contains(x: Payload | Literal["missing"], values: MissingDict):
    if x in values:
        reveal_type(x)  # revealed: Literal["missing"]

def inherited_tuple_contains(x: Payload | Literal["missing"], values: MissingTuple):
    if x in values:
        reveal_type(x)  # revealed: Literal["missing"]
```

#### Overridden iteration

An inherited built-in `__contains__` still searches the values stored in the container if the
subclass overrides `__iter__`. Here, the list stores arbitrary objects even though iteration is
annotated to yield only `Literal["missing"]`.

```py
from collections.abc import Iterator
from typing import Literal, TypedDict

class Payload(TypedDict):
    value: int

class OverridesBuiltinIteration(list[object]):
    def __iter__(self) -> Iterator[Literal["missing"]]:
        yield "missing"

def overridden_iteration(
    x: Payload | Literal["missing"],
    values: OverridesBuiltinIteration,
):
    if x in values:
        reveal_type(x)  # revealed: Payload | Literal["missing"]
```

#### Visible custom implementations

A custom `__contains__` on the class or an intermediate base disables both positive and negative
membership narrowing.

```py
from typing import Literal, TypedDict

class Payload(TypedDict):
    value: int

class ContainsEverythingList(list[Literal["missing"]]):
    def __contains__(self, value: object) -> bool:
        return True

class InheritsCustomContains(ContainsEverythingList): ...

def inherited_custom_contains(
    x: Payload | Literal["missing"],
    values: InheritsCustomContains,
):
    if x in values:
        reveal_type(x)  # revealed: Payload | Literal["missing"]

class ContainsNothingTuple(tuple[Literal[1]]):
    def __contains__(self, value: object) -> bool:
        return False

def custom_tuple_not_in(x: Literal[1] | None, values: ContainsNothingTuple):
    if x not in values:
        reveal_type(x)  # revealed: Literal[1] | None
```

## Assignment expression on the right-hand side

A named expression around a tuple literal is still known to use tuple membership:

```py
from typing import Literal, final

@final
class Token: ...

def assignment_expression(value: Token | Literal[1]) -> None:
    if value in (values := (1,)):
        reveal_type(value)  # revealed: Literal[1]
```

## `NewType` containers

A `NewType` uses the containment behavior of its underlying type, so membership in a wrapped tuple
can narrow the tested value to the tuple's item type.

```py
from typing import Literal, NewType, final

@final
class Token: ...

WrappedTuple = NewType("WrappedTuple", tuple[Literal[1], ...])

def wrapped_tuple(
    value: Token | Literal[1],
    values: WrappedTuple,
) -> None:
    if value in values:
        reveal_type(value)  # revealed: Literal[1]
```

## Type-variable containers

A bound or constrained type variable can use its item type only if membership checks those items for
every possible container. `BoundTuple` and both possible values of `ConstrainedTuple` use tuple
containment.

```py
from collections.abc import Iterator
from typing import Literal, TypeVar, final

@final
class Token: ...

BoundTuple = TypeVar("BoundTuple", bound=tuple[Literal[1], ...])

def bounded_tuple(
    value: Token | Literal[1],
    values: BoundTuple,
) -> None:
    if value in values:
        reveal_type(value)  # revealed: Literal[1]

ConstrainedTuple = TypeVar(
    "ConstrainedTuple",
    tuple[Literal[1], ...],
    tuple[Literal[1]],
)

def constrained_tuple(
    value: Token | Literal[1],
    values: ConstrainedTuple,
) -> None:
    if value in values:
        reveal_type(value)  # revealed: Literal[1]
```

A constrained type variable remains conservative if any constraint has unknown containment behavior.
`OpenIterable` is not final, so a subclass could define `__contains__` that accepts a `Token` even
though iteration only yields `Literal[1]`. Because `MixedContainers` permits such an instance,
membership does not narrow the tested value.

```py
from collections.abc import Iterator
from typing import Literal, TypeVar, final

@final
class Token: ...

class OpenIterable:
    def __iter__(self) -> Iterator[Literal[1]]:
        yield 1

MixedContainers = TypeVar(
    "MixedContainers",
    tuple[Literal[1], ...],
    OpenIterable,
)

def mixed_constraints(
    value: Token | Literal[1],
    values: MixedContainers,
) -> None:
    if value in values:
        reveal_type(value)  # revealed: Token | Literal[1]
```

## Union containers

Membership narrowing requires every possible container in a union to have known element-based
containment. If they do, ty combines their element types. If any alternative has unknown or custom
containment behavior, the tested value remains unchanged.

### All alternatives have known containment

Both alternatives use known built-in containment, so the positive branch is limited to the union of
their element types.

```py
from typing import Literal, final

@final
class Token: ...

def known_container_union(
    value: Token | Literal[1, 2],
    values: list[Literal[1]] | set[Literal[2]],
) -> None:
    if value in values:
        reveal_type(value)  # revealed: Literal[1, 2]
```

### An alternative has unknown containment

A non-final iterable can have a runtime subclass with a custom `__contains__`, so its iterator type
does not establish which values membership accepts.

```py
from collections.abc import Iterator
from typing import Literal, final

@final
class Token: ...

class OpenIterable:
    def __iter__(self) -> Iterator[Literal[1]]:
        yield 1

def partially_known_container_union(
    value: Token | Literal[1],
    values: tuple[Literal[1], ...] | OpenIterable,
) -> None:
    if value in values:
        reveal_type(value)  # revealed: Token | Literal[1]
```

### An alternative has custom containment

A visible custom `__contains__` can accept values outside the other alternative's element type, so
the union does not narrow the tested value.

```py
from typing import Literal, final

@final
class Token: ...

class ContainsEverything:
    def __contains__(self, value: object) -> bool:
        return True

def custom_container_union(
    value: Token | Literal[1],
    values: tuple[Literal[1], ...] | ContainsEverything,
) -> None:
    if value in values:
        reveal_type(value)  # revealed: Token | Literal[1]
```

## Intersection containers

### A component with known containment

After the `isinstance` check, `values` has type `Iterable[Literal[1]] & tuple[object, ...]`. Until
[this intersection can be simplified](https://github.com/astral-sh/ty/issues/3890) to
`tuple[Literal[1], ...]`, membership narrowing preserves the behavior from before containment
semantics were checked: the `tuple` component establishes that membership compares against its
elements, while the `Iterable` component constrains those elements to `Literal[1]`.

```py
from collections.abc import Iterable
from typing import Literal, final

@final
class Token: ...

def tuple_component_establishes_containment(
    value: Token | Literal[1],
    values: Iterable[Literal[1]],
) -> None:
    if isinstance(values, tuple) and value in values:
        reveal_type(value)  # revealed: Literal[1]
```

### No component with known containment

Narrowing an iterable to `Sized` says nothing about how it implements membership. It could still be
an instance of a class with a custom `__contains__` that accepts `Token`, so the positive branch
must preserve both union members.

```py
from collections.abc import Iterable, Sized
from typing import Literal, final

@final
class Token: ...

def unrelated_protocol_does_not_establish_containment(
    value: Token | Literal[1],
    values: Iterable[Literal[1]],
) -> None:
    if isinstance(values, Sized) and value in values:
        reveal_type(value)  # revealed: Token | Literal[1]
```

### A component with custom containment

`CustomContainsItems` shows that this intersection can be inhabited by a class whose MRO selects the
custom `__contains__` before `list.__contains__`. The order of intersection components does not
describe the runtime MRO, so the visible custom implementation prevents narrowing.

```py
from typing import Literal, final

@final
class Token: ...

class ContainsEverything:
    def __contains__(self, value: object) -> bool:
        return True

class LiteralItems(list[Literal[1]]): ...
class CustomContainsItems(ContainsEverything, LiteralItems): ...

def custom_containment_component_prevents_narrowing(
    value: Token | Literal[1],
    values: LiteralItems,
) -> None:
    if isinstance(values, ContainsEverything) and value in values:
        reveal_type(value)  # revealed: Token | Literal[1]
```

## Range membership

A `range` contains integers, so a string literal can be removed from the type of the tested value:

```py
from typing import Literal

def range_membership(value: Literal["x", 1], values: range) -> None:
    if value in values:
        reveal_type(value)  # revealed: Literal[1]
```

## `TypedDict` key membership

Membership in a `TypedDict` checks its string keys, so the tested value can be narrowed to a
possible key. We do not apply key-based narrowing to arbitrary values, because `in` may test
substrings or elements instead:

```py
from typing import Literal, TypedDict

class Values(TypedDict):
    present: int

def typed_dict_container(value: Literal["present", 1], values: Values) -> None:
    if value in values:
        reveal_type(value)  # revealed: Literal["present"]

def f(x: Literal["abc", "def"]):
    if "a" in x:
        # `x` could also be validly narrowed to `Literal["abc"]` here:
        reveal_type(x)  # revealed: Literal["abc", "def"]
    else:
        # `x` could also be validly narrowed to `Literal["def"]` here:
        reveal_type(x)  # revealed: Literal["abc", "def"]

    if "a" not in x:
        # `x` could also be validly narrowed to `Literal["def"]` here:
        reveal_type(x)  # revealed: Literal["abc", "def"]
    else:
        # `x` could also be validly narrowed to `Literal["abc"]` here:
        reveal_type(x)  # revealed: Literal["abc", "def"]
```

## bool

```py
def _(x: bool):
    if x in (True,):
        reveal_type(x)  # revealed: Literal[True]
    else:
        reveal_type(x)  # revealed: Literal[False]

def _(x: bool | str):
    if x in (False,):
        reveal_type(x)  # revealed: Literal[False]
    else:
        reveal_type(x)  # revealed: Literal[True] | str
```

## LiteralString

```py
from typing_extensions import LiteralString

def _(x: LiteralString):
    if x in ("a", "b", "c"):
        reveal_type(x)  # revealed: Literal["a", "b", "c"]
    else:
        reveal_type(x)  # revealed: LiteralString & ~Literal["a"] & ~Literal["b"] & ~Literal["c"]

def _(x: LiteralString | int):
    if x in ("a", "b", "c"):
        reveal_type(x)  # revealed: Literal["a", "b", "c"]
    else:
        reveal_type(x)  # revealed: (LiteralString & ~Literal["a"] & ~Literal["b"] & ~Literal["c"]) | int
```

## enums

```py
from enum import Enum
from typing import Literal

class Color(Enum):
    RED = "red"
    GREEN = "green"
    BLUE = "blue"

def _(x: Color):
    if x in (Color.RED, Color.GREEN):
        reveal_type(x)  # revealed: Literal[Color.RED, Color.GREEN]
    else:
        reveal_type(x)  # revealed: Literal[Color.BLUE]

def after_excluding_red(x: Color):
    if x is Color.RED:
        return
    if x in (Color.GREEN,):
        reveal_type(x)  # revealed: Literal[Color.GREEN]
    else:
        reveal_type(x)  # revealed: Literal[Color.BLUE]

def after_excluding_red_mixed(x: Color | int):
    if x is Color.RED:
        return
    if x in (Color.GREEN,):
        reveal_type(x)  # revealed: Literal[Color.GREEN] | int
    else:
        reveal_type(x)  # revealed: Literal[Color.BLUE] | int
```

When the container's element type is a union of enum literals, membership narrows to that union.
Without the annotation, the tuple's elements are widened to `Color`, so the comprehension remains
`list[Color]`:

```py
SelectedColor = Literal[Color.RED, Color.GREEN]
SELECTED_COLORS: tuple[SelectedColor, ...] = (Color.RED, Color.GREEN)

def selected_colors(colors: list[Color]) -> list[SelectedColor]:
    result: list[SelectedColor] = []
    result.extend([color for color in colors if color in SELECTED_COLORS])
    return result

def _(colors: list[Color]):
    inline = [color for color in colors if color in (Color.RED, Color.GREEN)]
    reveal_type(inline)  # revealed: list[Color]
```

An enum that can have additional runtime members can still be narrowed by a membership test against
an explicit member. The other branch excludes that member without assuming that the declared members
are exhaustive.

```py
from enum import Enum, EnumMeta

class InjectingEnumMeta(EnumMeta):
    def __new__(metacls, name, bases, namespace, **kwargs):
        namespace["INJECTED"] = 2
        return super().__new__(metacls, name, bases, namespace, **kwargs)

class InjectedEnum(Enum, metaclass=InjectingEnumMeta):
    ONLY = 1

def _(value: InjectedEnum):
    if value in (InjectedEnum.ONLY,):
        reveal_type(value)  # revealed: Literal[InjectedEnum.ONLY]
    else:
        reveal_type(value)  # revealed: InjectedEnum & ~Literal[InjectedEnum.ONLY]
```

## Union with enum and `int`

```py
from enum import Enum

class Status(Enum):
    PENDING = 1
    APPROVED = 2
    REJECTED = 3

def test(x: Status | int):
    if x in (Status.PENDING, Status.APPROVED):
        # int is included because custom __eq__ methods could make
        # an int equal to Status.PENDING or Status.APPROVED, so we can't eliminate it
        reveal_type(x)  # revealed: Literal[Status.PENDING, Status.APPROVED] | int
    else:
        reveal_type(x)  # revealed: Literal[Status.REJECTED] | int
```

## Union with tuple and `Literal`

A built-in tuple cannot compare equal to a string literal, so the tuple alternative is excluded from
the narrowed type.

```py
from typing import Literal

def test(x: Literal["none", "auto", "required"] | tuple[list[str], Literal["auto", "required"]]):
    if x in ("auto", "required"):
        reveal_type(x)  # revealed: Literal["auto", "required"]
    else:
        reveal_type(x)  # revealed: Literal["none"] | tuple[list[str], Literal["auto", "required"]]
```
