DataInt, DataCategorical, DataBool - revise domain updates

Based on the example below we need to check and revise how the Options domains are updated (for performance attributes based on the dataset samples):

• values seem to be of type float instead of int
• for DataInt, the updated domain should contain all values in the min-max range. Now some values are omitted if they didn't appear in the dataset.
• for DataCategorical, if the user specified options list (e.g. ['cat', 'dog', 'bird']), then probably this should not be updated to the dataset either
• for DataBool the domain does not have to be updated, always use [True, False] as default

 >>> dataset.perf_attributes.dobj_list_orig 
DataInt(name="win", dim=1, domain=Options([0, 1, 2, 3, 4, ...,995, 996, 997, 998, 999]) 

 >>> dataset.perf_attributes.dobj_list
DataInt(name="win", dim=1, domain=Options([0.0, 1.0, 2.0, 3.0, 4.0, ...,167.0, 169.0, 170.0, 172.0, 182.0]), position=0, position_index=0)