FP: Fix wrong model due to partial assignment (#2910)

FP: Fix wrong model due to partial assignment (#2910)

For a simple query `(not (= (fp.isSubnormal x) false))`, we were getting
a wrong model. The issue was that `(sign x)` was not assigned a value
and did not appear in the shared terms. In
`TheoryFp::collectModelInfo()`, however, we generate an expression that
connects the components of `x` to `x`, which contains `(sign x)`. As a
result, the normalization while building a model did not result in a
constant. This commit fixes the issue by marking `(sign x)` (and
`(significand x)`) as assignable. Assignable terms can take any value
while building a model if there is no existing value.