def test_impart_taxa():
# Imparting a knowledge decreases the learning cost of the corresponding taxa, but has no
# effect whatsoever on the selected programs.
dbf = ProgramFilter(db)
dbf.impart_taxa({"flow/conditional"})
print(dbf.selected_programs)
assert dbf.selected_programs == {
"assignment.py",
"collatz.py",
"fizzbuzz.py",
"is_even.py",
}
def test_impart_taxa():
dbf = ProgramFilter(db)
taxa = ["O/J", "X/S/M/L", "non/existing/taxon"]
dbf.impart_taxa(taxa)
print(sorted(dbf.imparted_knowledge))
assert dbf.imparted_knowledge == {
"O",
"O/J",
"X",
"X/S",
"X/S/M",
"X/S/M/L",
"non",
"non/existing",
"non/existing/taxon",
}
