SCIP_PY reporting inexistent solution

Details for the issue
--------------------

#### What did you do?

##### ... HARD PROBLEM THAT TAKES MANY SECONDS TO SOLVE

prob.solve(lp.SCIP_PY(**{
"msg": True,
'options': [
'limits/time', 4
]
}))
print('Status', prob.status)
print("Translated Status:", LpStatus[prob.status])
##### Reports:
###### Status 1
###### Translated Status: Optimal

Meanwhile internally:

status = scip_to_pulp_status[solutionStatus]
print(f'{solutionStatus=} {status=}')

##### Reports: solutionStatus='timelimit' status=0

num_solutions = lp.solverModel.getNSols()
print(f'=====> {num_solutions=}')

###### Reports: =====> num_solutions=0

#### What did you expect to see?

If number of solutions is 0 and the solver returns timelimit reached pulp should not report 'optimal' and allow access to model (that does not meet the constraints)

#### What did you see instead?
You can access a model that does not obey the constraints

Useful extra information
-------------------------

The info below often helps, please fill it out if you're able to. :)

#### What operating system are you using?

- [X] Windows: ( _version:11)

#### I'm using python version:

- [ X] 3.12

#### I installed PuLP via:

- [X] pypi (python -m pip install pulp)

#### Did you also

- [x] I'm submitting a tentative PR that should fix this issue

Start at the SCIP_PY solver path where solutionStatus is translated to the PuLP status, then inspect how solverModel.getNSols() is handled after a time limit. Done means a time-limited solve with zero solutions is not reported as Optimal and does not expose an invalid model.

Written by the indexing model from the issue text.