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This updates our function specialization inference to infer type
mappings from parameters that are generic aliases, e.g.:
```py
def f[T](x: list[T]) -> T: ...
reveal_type(f(["a", "b"])) # revealed: str
```
Though note that we're still inferring the type of list literals as
`list[Unknown]`, so for now we actually need something like the
following in our tests:
```py
def _(x: list[str]):
reveal_type(f(x)) # revealed: str
```
770 B
770 B
Binary operations on tuples
Concatenation for heterogeneous tuples
reveal_type((1, 2) + (3, 4)) # revealed: tuple[Literal[1], Literal[2], Literal[3], Literal[4]]
reveal_type(() + (1, 2)) # revealed: tuple[Literal[1], Literal[2]]
reveal_type((1, 2) + ()) # revealed: tuple[Literal[1], Literal[2]]
reveal_type(() + ()) # revealed: tuple[()]
def _(x: tuple[int, str], y: tuple[None, tuple[int]]):
reveal_type(x + y) # revealed: tuple[int, str, None, tuple[int]]
reveal_type(y + x) # revealed: tuple[None, tuple[int], int, str]
Concatenation for homogeneous tuples
def _(x: tuple[int, ...], y: tuple[str, ...]):
reveal_type(x + y) # revealed: tuple[int | str, ...]
reveal_type(x + (1, 2)) # revealed: tuple[int, ...]