gistfile1.py

# Say for example we acquire a list of BasicToken objects by getting all the dependants of a token:
dependants = parsed_sentence.get_dependants(aspect_token)

# We could filter that list, keeping only those tokens whose dependency relations with the aspect token are "dobj", by doing the following:
dependants = [token for token in dependants if token.deprel == "dobj"] 

# Or we could filter that list, keeping only those tokens whose PoS tags are "RB" (for adverb)
dependants = [token for token in dependants if token.pos == "RB"]

# Or we could filter that list, keeping only those tokens whose form is NOT "main" or "special"
dependants = [token for token in dependants if token.form != "main" and token.form != "special"]

# Or if we had a single token, we could choose to add it to a list or not based on its properties
opinions = []
if token.pos.startswith("JJ"):  # If token is an adjective, then append its form to our list of opinions
    opinions.append(token.form)
    
# Or we could search tokens for a property we wish to know is present
found_det = False
for dependant in dependants:
    if dependant.deprel == "det":
        found_det = True
# Now subsequent code can use "found_det" to perform different tasks depending on
# whether or not there was a determiner relation in the dependants.