What's the difference between a constrained TypeVar and a Union?

If I want to have a type that can be multiple possible types, Unions seem to be how I represent that:

U = Union[int, str] 

U can be an int or a str.

I noticed though that TypeVars allow for optional var-arg arguments that also seem to do the same thing:

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

Both T and U seem to only be allowed to take on the types str and int.

What are the differences between these two ways, and when should each be preferred?

Solution 1:

T's type must be consistent across multiple uses within a given scope, while U's does not.

With a Union type used as function parameters, the arguments as well as the return type can all be different:

U = Union[int, str]

def union_f(arg1: U, arg2: U) -> U:
    return arg1

x = union_f(1, "b")  # No error due to different types
x = union_f(1, 2)  # Also no error
x = union_f("a", 2)  # Also no error
x # And it can't tell in any of the cases if 'x' is an int or string

Compare that to a similar case with a TypeVar where the argument types must match:

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

def typevar_f(arg1: T, arg2: T) -> T:
    return arg1

y = typevar_f(1, "b")  # "Expected type 'int' (matched generic type 'T'), got 'str' instead
y = typevar_f("a", 2)  # "Expected type 'str' (matched generic type 'T'), got 'int' instead

y = typevar_f("a", "b")  # No error
y  # It knows that 'y' is a string

y = typevar_f(1, 2)  # No error
y  # It knows that 'y' is an int

So, use a TypeVar if multiple types are allowed, but different usages of T within a single scope must match each other. Use a Union if multiple types are allowed, but different usages of U within a given scope don't need to match each other.