Load the OWL format Human Disease Ontology $($HDO$)$ dataset released on $01/31/2024$

questions. $($Tip: you can use Python library such as Owlready$2$ to manipulate ontologies$)$

$1)$ Try to understand the structure of HDO, and report: what is the metadata comment? What is the

number of classes? What is the average number of children per class? $($tip: you might iterate over all

classes and count the number of subclasses of each class, and then calculate the average$)$

$2)$ Search the entity with id "DOID:$9351",$ and output all its subclasses. Search the entity with label

"type $2$ diabetes mellitus", and output all its ancestors.