# Constraint set satisfaction

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

Constraint sets exist to help us check assignability and subtyping of types in the presence of
typevars. We construct a constraint set describing the conditions under which assignability holds
between the two types. Then we check whether that constraint set is satisfied for the valid
specializations of the relevant typevars. This file tests that final step.

## Inferable vs non-inferable typevars

Typevars can appear in _inferable_ or _non-inferable_ positions.

When a typevar is in an inferable position, the constraint set only needs to be satisfied for _some_
valid specialization. The most common inferable position occurs when invoking a generic function:
all of the function's typevars are inferable, because we want to use the argument types to infer
which specialization is being invoked.

When a typevar is in a non-inferable position, the constraint set must be satisfied for _every_
valid specialization. The most common non-inferable position occurs in the body of a generic
function or class: here we don't know in advance what type the typevar will be specialized to, and
so we have to ensure that the body is valid for all possible specializations.

```py
def f[T](t: T) -> T:
    # In the function body, T is non-inferable. All assignability checks involving T must be
    # satisfied for _all_ valid specializations of T.
    return t

# When invoking the function, T is inferable — we attempt to infer a specialization that is valid
# for the particular arguments that are passed to the function. Assignability checks (in particular,
# that the argument type is assignable to the parameter type) only need to succeed for _at least
# one_ specialization.
f(1)
```

In all of the examples below, for ease of reproducibility, we explicitly list the typevars that are
inferable in each `satisfied_by_all_typevars` call; any typevar not listed is assumed to be
non-inferable.

## Unbounded typevar

If a typevar has no bound or constraints, then it can specialize to any type. In an inferable
position, that means we just need a single type (any type at all!) that satisfies the constraint
set. In a non-inferable position, that means the constraint set must be satisfied for every possible
type.

```py
from typing import final, Never
from ty_extensions import static_assert
from ty_extensions._internal import ConstraintSet

class Super: ...
class Base(Super): ...
class Sub(Base): ...

@final
class Unrelated: ...

def unbounded[T]():
    static_assert(ConstraintSet.always().satisfied_by_all_typevars(inferable=tuple[T]))
    static_assert(ConstraintSet.always().satisfied_by_all_typevars())

    static_assert(not ConstraintSet.never().satisfied_by_all_typevars(inferable=tuple[T]))
    static_assert(not ConstraintSet.never().satisfied_by_all_typevars())

    # (T = Never) is a valid specialization, which satisfies (T ≤ Unrelated).
    static_assert(ConstraintSet.range(Never, T, Unrelated).satisfied_by_all_typevars(inferable=tuple[T]))
    # (T = Base) is a valid specialization, which does not satisfy (T ≤ Unrelated).
    static_assert(not ConstraintSet.range(Never, T, Unrelated).satisfied_by_all_typevars())

    # (T = Base) is a valid specialization, which satisfies (T ≤ Super).
    static_assert(ConstraintSet.range(Never, T, Super).satisfied_by_all_typevars(inferable=tuple[T]))
    # (T = Unrelated) is a valid specialization, which does not satisfy (T ≤ Super).
    static_assert(not ConstraintSet.range(Never, T, Super).satisfied_by_all_typevars())

    # (T = Base) is a valid specialization, which satisfies (T ≤ Base).
    static_assert(ConstraintSet.range(Never, T, Base).satisfied_by_all_typevars(inferable=tuple[T]))
    # (T = Unrelated) is a valid specialization, which does not satisfy (T ≤ Base).
    static_assert(not ConstraintSet.range(Never, T, Base).satisfied_by_all_typevars())

    # (T = Sub) is a valid specialization, which satisfies (T ≤ Sub).
    static_assert(ConstraintSet.range(Never, T, Sub).satisfied_by_all_typevars(inferable=tuple[T]))
    # (T = Unrelated) is a valid specialization, which does not satisfy (T ≤ Sub).
    static_assert(not ConstraintSet.range(Never, T, Sub).satisfied_by_all_typevars())
```

## Typevar with an upper bound

If a typevar has an upper bound, then it must specialize to a type that is a subtype of that bound.
For an inferable typevar, that means we need a single type that satisfies both the constraint set
and the upper bound. For a non-inferable typevar, that means the constraint set must be satisfied
for every type that satisfies the upper bound.

```py
from typing import final, Never
from ty_extensions import static_assert
from ty_extensions._internal import ConstraintSet

class Super: ...
class Base(Super): ...
class Sub(Base): ...

@final
class Unrelated: ...

def bounded[T: Base]():
    static_assert(ConstraintSet.always().satisfied_by_all_typevars(inferable=tuple[T]))
    static_assert(ConstraintSet.always().satisfied_by_all_typevars())

    static_assert(not ConstraintSet.never().satisfied_by_all_typevars(inferable=tuple[T]))
    static_assert(not ConstraintSet.never().satisfied_by_all_typevars())

    # (T = Base) is a valid specialization, which satisfies (T ≤ Super).
    static_assert(ConstraintSet.range(Never, T, Super).satisfied_by_all_typevars(inferable=tuple[T]))
    # Every valid specialization satisfies (T ≤ Base). Since (Base ≤ Super), every valid
    # specialization also satisfies (T ≤ Super).
    static_assert(ConstraintSet.range(Never, T, Super).satisfied_by_all_typevars())

    # (T = Base) is a valid specialization, which satisfies (T ≤ Base).
    static_assert(ConstraintSet.range(Never, T, Base).satisfied_by_all_typevars(inferable=tuple[T]))
    # Every valid specialization satisfies (T ≤ Base).
    static_assert(ConstraintSet.range(Never, T, Base).satisfied_by_all_typevars())

    # (T = Sub) is a valid specialization, which satisfies (T ≤ Sub).
    static_assert(ConstraintSet.range(Never, T, Sub).satisfied_by_all_typevars(inferable=tuple[T]))
    # (T = Base) is a valid specialization, which does not satisfy (T ≤ Sub).
    static_assert(not ConstraintSet.range(Never, T, Sub).satisfied_by_all_typevars())

    # (T = Never) is a valid specialization, which satisfies (T ≤ Unrelated).
    constraints = ConstraintSet.range(Never, T, Unrelated)
    static_assert(constraints.satisfied_by_all_typevars(inferable=tuple[T]))
    # (T = Base) is a valid specialization, which does not satisfy (T ≤ Unrelated).
    static_assert(not constraints.satisfied_by_all_typevars())

    # Never is the only type that satisfies both (T ≤ Base) and (T ≤ Unrelated). So there is no
    # valid specialization that satisfies (T ≤ Unrelated ∧ T ≠ Never).
    constraints = constraints & ~ConstraintSet.range(Never, T, Never)
    static_assert(not constraints.satisfied_by_all_typevars(inferable=tuple[T]))
    static_assert(not constraints.satisfied_by_all_typevars())
```

If the upper bound is a gradual type, we are free to choose any materialization of the upper bound
that makes the test succeed. In non-inferable positions, it is most helpful to choose the bottom
materialization as the upper bound. That is the most restrictive possible choice, which minimizes
the number of valid specializations that must satisfy the constraint set. In inferable positions,
the opposite is true: it is most helpful to choose the top materialization. That is the most
permissive possible choice, which maximizes the number of valid specializations that might satisfy
the constraint set.

```py
from typing import Any

def bounded_by_gradual[T: Any]():
    static_assert(ConstraintSet.always().satisfied_by_all_typevars(inferable=tuple[T]))
    static_assert(ConstraintSet.always().satisfied_by_all_typevars())

    static_assert(not ConstraintSet.never().satisfied_by_all_typevars(inferable=tuple[T]))
    static_assert(not ConstraintSet.never().satisfied_by_all_typevars())

    # If we choose Base as the materialization for the upper bound, then (T = Base) is a valid
    # specialization, which satisfies (T ≤ Base).
    static_assert(ConstraintSet.range(Never, T, Base).satisfied_by_all_typevars(inferable=tuple[T]))
    # We are free to choose any materialization of the upper bound, and only have to show that the
    # constraint set holds for that one materialization. Having chosen one materialization, we then
    # have to show that the constraint set holds for all valid specializations of that
    # materialization. If we choose Never as the materialization, then all valid specializations
    # must satisfy (T ≤ Never). That means there is only one valid specialization, (T = Never),
    # which satisfies (T ≤ Base).
    static_assert(ConstraintSet.range(Never, T, Base).satisfied_by_all_typevars())

    # If we choose Unrelated as the materialization, then (T = Unrelated) is a valid specialization,
    # which satisfies (T ≤ Unrelated).
    constraints = ConstraintSet.range(Never, T, Unrelated)
    static_assert(constraints.satisfied_by_all_typevars(inferable=tuple[T]))
    # If we choose Never as the materialization, then (T = Never) is the only valid specialization,
    # which satisfies (T ≤ Unrelated).
    static_assert(constraints.satisfied_by_all_typevars())

    # If we choose Unrelated as the materialization, then (T = Unrelated) is a valid specialization,
    # which satisfies (T ≤ Unrelated ∧ T ≠ Never).
    constraints = constraints & ~ConstraintSet.range(Never, T, Never)
    static_assert(constraints.satisfied_by_all_typevars(inferable=tuple[T]))
    # There is no upper bound that we can choose to satisfy this constraint set in non-inferable
    # position. (T = Never) will be a valid assignment no matter what, and that does not satisfy
    # (T ≤ Unrelated ∧ T ≠ Never).
    static_assert(not constraints.satisfied_by_all_typevars())
```

When the upper bound is a more complex gradual type, we are still free to choose any materialization
that causes the check to succeed, and we will still choose the bottom materialization in
non-inferable position, and the top materialization in inferable position. The variance of the
typevar does not affect whether there is a materialization we can choose. Below, we test the most
restrictive variance (i.e., invariance), but we get the same results for other variances as well.

```py
def bounded_by_gradual[T: list[Any]]():
    static_assert(ConstraintSet.always().satisfied_by_all_typevars(inferable=tuple[T]))
    static_assert(ConstraintSet.always().satisfied_by_all_typevars())

    static_assert(not ConstraintSet.never().satisfied_by_all_typevars(inferable=tuple[T]))
    static_assert(not ConstraintSet.never().satisfied_by_all_typevars())

    # If we choose list[Base] as the materialization of the upper bound, then (T = list[Base]) is a
    # valid specialization, which satisfies (T ≤ list[Base]).
    static_assert(ConstraintSet.range(Never, T, list[Base]).satisfied_by_all_typevars(inferable=tuple[T]))
    # If we choose Base as the materialization, then all valid specializations must satisfy
    # (T ≤ list[Base]).
    # We are free to choose any materialization of the upper bound, and only have to show that the
    # constraint set holds for that one materialization. Having chosen one materialization, we then
    # have to show that the constraint set holds for all valid specializations of that
    # materialization. If we choose list[Base] as the materialization, then all valid specializations
    # must satisfy (T ≤ list[Base]), which is exactly the constraint set that we need to satisfy.
    static_assert(ConstraintSet.range(Never, T, list[Base]).satisfied_by_all_typevars())

    # If we choose Unrelated as the materialization, then (T = list[Unrelated]) is a valid
    # specialization, which satisfies (T ≤ list[Unrelated]).
    constraints = ConstraintSet.range(Never, T, list[Unrelated])
    static_assert(constraints.satisfied_by_all_typevars(inferable=tuple[T]))
    # If we choose Unrelated as the materialization, then all valid specializations must satisfy
    # (T ≤ list[Unrelated]).
    static_assert(constraints.satisfied_by_all_typevars())

    # If we choose Unrelated as the materialization, then (T = list[Unrelated]) is a valid
    # specialization, which satisfies (T ≤ list[Unrelated] ∧ T ≠ Never).
    constraints = constraints & ~ConstraintSet.range(Never, T, Never)
    static_assert(constraints.satisfied_by_all_typevars(inferable=tuple[T]))
    # There is no upper bound that we can choose to satisfy this constraint set in non-inferable
    # position. (T = Never) will be a valid assignment no matter what, and that does not satisfy
    # (T ≤ list[Unrelated] ∧ T ≠ Never).
    static_assert(not constraints.satisfied_by_all_typevars())
```

## Constrained typevar

If a typevar has constraints, then it must specialize to one of those specific types. (Not to a
subtype of one of those types!) For an inferable typevar, that means we need the constraint set to
be satisfied by any one of the constraints. For a non-inferable typevar, that means we need the
constraint set to be satisfied by all of those constraints.

```py
from typing import final, Never
from ty_extensions import static_assert
from ty_extensions._internal import ConstraintSet

class Super: ...
class Base(Super): ...
class Sub(Base): ...

@final
class Unrelated: ...

def constrained[T: (Base, Unrelated)]():
    static_assert(ConstraintSet.always().satisfied_by_all_typevars(inferable=tuple[T]))
    static_assert(ConstraintSet.always().satisfied_by_all_typevars())

    static_assert(not ConstraintSet.never().satisfied_by_all_typevars(inferable=tuple[T]))
    static_assert(not ConstraintSet.never().satisfied_by_all_typevars())

    # (T = Unrelated) is a valid specialization, which satisfies (T ≤ Unrelated).
    static_assert(ConstraintSet.range(Never, T, Unrelated).satisfied_by_all_typevars(inferable=tuple[T]))
    # (T = Base) is a valid specialization, which does not satisfy (T ≤ Unrelated).
    static_assert(not ConstraintSet.range(Never, T, Unrelated).satisfied_by_all_typevars())

    # (T = Base) is a valid specialization, which satisfies (T ≤ Super).
    static_assert(ConstraintSet.range(Never, T, Super).satisfied_by_all_typevars(inferable=tuple[T]))
    # (T = Unrelated) is a valid specialization, which does not satisfy (T ≤ Super).
    static_assert(not ConstraintSet.range(Never, T, Super).satisfied_by_all_typevars())

    # (T = Base) is a valid specialization, which satisfies (T ≤ Base).
    static_assert(ConstraintSet.range(Never, T, Base).satisfied_by_all_typevars(inferable=tuple[T]))
    # (T = Unrelated) is a valid specialization, which does not satisfy (T ≤ Base).
    static_assert(not ConstraintSet.range(Never, T, Base).satisfied_by_all_typevars())

    # Neither (T = Base) nor (T = Unrelated) satisfy (T ≤ Sub).
    static_assert(not ConstraintSet.range(Never, T, Sub).satisfied_by_all_typevars(inferable=tuple[T]))
    static_assert(not ConstraintSet.range(Never, T, Sub).satisfied_by_all_typevars())

    # (T = Base) and (T = Unrelated) both satisfy (T ≤ Super ∨ T ≤ Unrelated).
    constraints = ConstraintSet.range(Never, T, Super) | ConstraintSet.range(Never, T, Unrelated)
    static_assert(constraints.satisfied_by_all_typevars(inferable=tuple[T]))
    static_assert(constraints.satisfied_by_all_typevars())

    # (T = Base) and (T = Unrelated) both satisfy (T ≤ Base ∨ T ≤ Unrelated).
    constraints = ConstraintSet.range(Never, T, Base) | ConstraintSet.range(Never, T, Unrelated)
    static_assert(constraints.satisfied_by_all_typevars(inferable=tuple[T]))
    static_assert(constraints.satisfied_by_all_typevars())

    # (T = Unrelated) is a valid specialization, which satisfies (T ≤ Sub ∨ T ≤ Unrelated).
    constraints = ConstraintSet.range(Never, T, Sub) | ConstraintSet.range(Never, T, Unrelated)
    static_assert(constraints.satisfied_by_all_typevars(inferable=tuple[T]))
    # (T = Base) is a valid specialization, which does not satisfy (T ≤ Sub ∨ T ≤ Unrelated).
    static_assert(not constraints.satisfied_by_all_typevars())

    # (T = Unrelated) is a valid specialization, which satisfies (T = Super ∨ T = Unrelated).
    constraints = ConstraintSet.range(Super, T, Super) | ConstraintSet.range(Unrelated, T, Unrelated)
    static_assert(constraints.satisfied_by_all_typevars(inferable=tuple[T]))
    # (T = Base) is a valid specialization, which does not satisfy (T = Super ∨ T = Unrelated).
    static_assert(not constraints.satisfied_by_all_typevars())

    # (T = Base) and (T = Unrelated) both satisfy (T = Base ∨ T = Unrelated).
    constraints = ConstraintSet.range(Base, T, Base) | ConstraintSet.range(Unrelated, T, Unrelated)
    static_assert(constraints.satisfied_by_all_typevars(inferable=tuple[T]))
    static_assert(constraints.satisfied_by_all_typevars())

    # (T = Unrelated) is a valid specialization, which satisfies (T = Sub ∨ T = Unrelated).
    constraints = ConstraintSet.range(Sub, T, Sub) | ConstraintSet.range(Unrelated, T, Unrelated)
    static_assert(constraints.satisfied_by_all_typevars(inferable=tuple[T]))
    # (T = Base) is a valid specialization, which does not satisfy (T = Sub ∨ T = Unrelated).
    static_assert(not constraints.satisfied_by_all_typevars())
```

If any of the constraints is a gradual type, we are free to choose any materialization of that
constraint that makes the test succeed. In non-inferable positions, it is most helpful to choose the
bottom materialization as the constraint. That is the most restrictive possible choice, which
minimizes the number of valid specializations that must satisfy the constraint set. In inferable
positions, the opposite is true: it is most helpful to choose the top materialization. That is the
most permissive possible choice, which maximizes the number of valid specializations that might
satisfy the constraint set.

```py
from typing import Any

def constrained_by_gradual[T: (Base, Any)]():
    static_assert(ConstraintSet.always().satisfied_by_all_typevars(inferable=tuple[T]))
    static_assert(ConstraintSet.always().satisfied_by_all_typevars())

    static_assert(not ConstraintSet.never().satisfied_by_all_typevars(inferable=tuple[T]))
    static_assert(not ConstraintSet.never().satisfied_by_all_typevars())

    # If we choose Unrelated as the materialization of the gradual constraint, then (T = Unrelated)
    # is a valid specialization, which satisfies (T ≤ Unrelated).
    static_assert(ConstraintSet.range(Never, T, Unrelated).satisfied_by_all_typevars(inferable=tuple[T]))
    # No matter which materialization we choose, (T = Base) is a valid specialization, which does
    # not satisfy (T ≤ Unrelated).
    static_assert(not ConstraintSet.range(Never, T, Unrelated).satisfied_by_all_typevars())

    # If we choose Super as the materialization, then (T = Super) is a valid specialization, which
    # satisfies (T ≤ Super).
    static_assert(ConstraintSet.range(Never, T, Super).satisfied_by_all_typevars(inferable=tuple[T]))
    # If we choose Never as the materialization, then (T = Base) and (T = Never) are the only valid
    # specializations, both of which satisfy (T ≤ Super).
    static_assert(ConstraintSet.range(Never, T, Super).satisfied_by_all_typevars())

    # If we choose Base as the materialization, then (T = Base) is a valid specialization, which
    # satisfies (T ≤ Base).
    static_assert(ConstraintSet.range(Never, T, Base).satisfied_by_all_typevars(inferable=tuple[T]))
    # If we choose Never as the materialization, then (T = Base) and (T = Never) are the only valid
    # specializations, both of which satisfy (T ≤ Base).
    static_assert(ConstraintSet.range(Never, T, Base).satisfied_by_all_typevars())

def constrained_by_two_gradual[T: (Any, Any)]():
    static_assert(ConstraintSet.always().satisfied_by_all_typevars(inferable=tuple[T]))
    static_assert(ConstraintSet.always().satisfied_by_all_typevars())

    static_assert(not ConstraintSet.never().satisfied_by_all_typevars(inferable=tuple[T]))
    static_assert(not ConstraintSet.never().satisfied_by_all_typevars())

    # If we choose Unrelated as the materialization of either constraint, then (T = Unrelated) is a
    # valid specialization, which satisfies (T ≤ Unrelated).
    static_assert(ConstraintSet.range(Never, T, Unrelated).satisfied_by_all_typevars(inferable=tuple[T]))
    # If we choose Unrelated as the materialization of both constraints, then (T = Unrelated) is the
    # only valid specialization, which satisfies (T ≤ Unrelated).
    static_assert(ConstraintSet.range(Never, T, Unrelated).satisfied_by_all_typevars())

    # If we choose Base as the materialization of either constraint, then (T = Base) is a valid
    # specialization, which satisfies (T ≤ Base).
    static_assert(ConstraintSet.range(Never, T, Base).satisfied_by_all_typevars(inferable=tuple[T]))
    # If we choose Never as the materialization of both constraints, then (T = Never) is the only
    # valid specialization, which satisfies (T ≤ Base).
    static_assert(ConstraintSet.range(Never, T, Base).satisfied_by_all_typevars())
```

When a constraint is a more complex gradual type, we are still free to choose any materialization
that causes the check to succeed, and we will still choose the bottom materialization in
non-inferable position, and the top materialization in inferable position. The variance of the
typevar does not affect whether there is a materialization we can choose. Below, we test the most
restrictive variance (i.e., invariance), but we get the same results for other variances as well.

```py
def constrained_by_gradual[T: (list[Base], list[Any])]():
    static_assert(ConstraintSet.always().satisfied_by_all_typevars(inferable=tuple[T]))
    static_assert(ConstraintSet.always().satisfied_by_all_typevars())

    static_assert(not ConstraintSet.never().satisfied_by_all_typevars(inferable=tuple[T]))
    static_assert(not ConstraintSet.never().satisfied_by_all_typevars())

    # No matter which materialization we choose, every valid specialization will be of the form
    # (T = list[X]). Because Unrelated is final, it is disjoint from all lists. There is therefore
    # no materialization or specialization that satisfies (T ≤ Unrelated).
    static_assert(not ConstraintSet.range(Never, T, Unrelated).satisfied_by_all_typevars(inferable=tuple[T]))
    static_assert(not ConstraintSet.range(Never, T, Unrelated).satisfied_by_all_typevars())

    # If we choose list[Super] as the materialization, then (T = list[Super]) is a valid
    # specialization, which satisfies (T ≤ list[Super]).
    static_assert(ConstraintSet.range(Never, T, list[Super]).satisfied_by_all_typevars(inferable=tuple[T]))
    # No matter which materialization we choose, (T = list[Base]) is a valid specialization, which
    # does not satisfy (T ≤ list[Super]).
    static_assert(not ConstraintSet.range(Never, T, list[Super]).satisfied_by_all_typevars())

    # If we choose list[Base] as the materialization, then (T = list[Base]) is a valid
    # specialization, which satisfies (T ≤ list[Base]).
    static_assert(ConstraintSet.range(Never, T, list[Base]).satisfied_by_all_typevars(inferable=tuple[T]))
    # If we choose list[Base] as the materialization, then all valid specializations must satisfy
    # (T ≤ list[Base]).
    static_assert(ConstraintSet.range(Never, T, list[Base]).satisfied_by_all_typevars())

    # If we choose list[Sub] as the materialization, then (T = list[Sub]) is a valid specialization,
    # which # satisfies (T ≤ list[Sub]).
    static_assert(ConstraintSet.range(Never, T, list[Sub]).satisfied_by_all_typevars(inferable=tuple[T]))
    # No matter which materialization we choose, (T = list[Base]) is a valid specialization, which
    # does not satisfy (T ≤ list[Sub]).
    static_assert(not ConstraintSet.range(Never, T, list[Sub]).satisfied_by_all_typevars())

    # If we choose list[Unrelated] as the materialization, then (T = list[Unrelated]) is a valid
    # specialization, which satisfies (T ≤ list[Unrelated]).
    constraints = ConstraintSet.range(Never, T, list[Unrelated])
    static_assert(constraints.satisfied_by_all_typevars(inferable=tuple[T]))
    # No matter which materialization we choose, (T = list[Base]) is a valid specialization, which
    # does not satisfy (T ≤ list[Unrelated]).
    static_assert(not constraints.satisfied_by_all_typevars())

    # If we choose list[Unrelated] as the materialization, then (T = list[Unrelated]) is a valid
    # specialization, which satisfies (T ≤ list[Unrelated] ∧ T ≠ Never).
    constraints = constraints & ~ConstraintSet.range(Never, T, Never)
    static_assert(constraints.satisfied_by_all_typevars(inferable=tuple[T]))
    # There is no materialization that we can choose to satisfy this constraint set in non-inferable
    # position. (T = Never) will be a valid assignment no matter what, and that does not satisfy
    # (T ≤ list[Unrelated] ∧ T ≠ Never).
    static_assert(not constraints.satisfied_by_all_typevars())

def constrained_by_two_gradual[T: (list[Any], list[Any])]():
    static_assert(ConstraintSet.always().satisfied_by_all_typevars(inferable=tuple[T]))
    static_assert(ConstraintSet.always().satisfied_by_all_typevars())

    static_assert(not ConstraintSet.never().satisfied_by_all_typevars(inferable=tuple[T]))
    static_assert(not ConstraintSet.never().satisfied_by_all_typevars())

    # No matter which materialization we choose, every valid specialization will be of the form
    # (T = list[X]). Because Unrelated is final, it is disjoint from all lists. There is therefore
    # no materialization or specialization that satisfies (T ≤ Unrelated).
    static_assert(not ConstraintSet.range(Never, T, Unrelated).satisfied_by_all_typevars(inferable=tuple[T]))
    static_assert(not ConstraintSet.range(Never, T, Unrelated).satisfied_by_all_typevars())

    # If we choose list[Super] as the materialization, then (T = list[Super]) is a valid
    # specialization, which satisfies (T ≤ list[Super]).
    static_assert(ConstraintSet.range(Never, T, list[Super]).satisfied_by_all_typevars(inferable=tuple[T]))
    # No matter which materialization we choose, (T = list[Base]) is a valid specialization, which
    # does not satisfy (T ≤ list[Super]).
    static_assert(ConstraintSet.range(Never, T, list[Super]).satisfied_by_all_typevars())

    # If we choose list[Base] as the materialization, then (T = list[Base]) is a valid
    # specialization, which satisfies (T ≤ list[Base]).
    static_assert(ConstraintSet.range(Never, T, list[Base]).satisfied_by_all_typevars(inferable=tuple[T]))
    # If we choose Base as the materialization, then all valid specializations must satisfy
    # (T ≤ list[Base]).
    static_assert(ConstraintSet.range(Never, T, list[Base]).satisfied_by_all_typevars())

    # If we choose list[Sub] as the materialization, then (T = list[Sub]) is a valid specialization,
    # which satisfies (T ≤ list[Sub]).
    static_assert(ConstraintSet.range(Never, T, list[Sub]).satisfied_by_all_typevars(inferable=tuple[T]))
    # No matter which materialization we choose, (T = list[Base]) is a valid specialization, which
    # does not satisfy (T ≤ list[Sub]).
    static_assert(ConstraintSet.range(Never, T, list[Sub]).satisfied_by_all_typevars())

    # If we choose list[Unrelated] as the materialization, then (T = list[Unrelated]) is a valid
    # specialization, which satisfies (T ≤ list[Unrelated]).
    constraints = ConstraintSet.range(Never, T, list[Unrelated])
    static_assert(constraints.satisfied_by_all_typevars(inferable=tuple[T]))
    # No matter which materialization we choose, (T = list[Base]) is a valid specialization, which
    # does not satisfy (T ≤ list[Unrelated]).
    static_assert(constraints.satisfied_by_all_typevars())

    # If we choose list[Unrelated] as the materialization, then (T = list[Unrelated]) is a valid
    # specialization, which satisfies (T ≤ list[Unrelated] ∧ T ≠ Never).
    constraints = constraints & ~ConstraintSet.range(Never, T, Never)
    static_assert(constraints.satisfied_by_all_typevars(inferable=tuple[T]))
    # There is no constraint that we can choose to satisfy this constraint set in non-inferable
    # position. (T = Never) will be a valid assignment no matter what, and that does not satisfy
    # (T ≤ list[Unrelated] ∧ T ≠ Never).
    static_assert(constraints.satisfied_by_all_typevars())
```
