def check_split(conn, verbose):
result, refobj = asst2.load_result('split')
val = asst2.similarity(result, refobj, verbose)
if val < 1.:
if verbose:
print("INFO: attempting to load resplit tables")
try:
result, refobj = asst2.load_result('resplit')
num_partials = len(refobj)
marks = (total - partial * num_partials) * val**2
for i, refelem in enumerate(refobj):
try:
table = result[i]
except IndexError:
print("ERROR: student does not have resplit[%d]" % i)
continue
val = asst2.similarity(table, refelem, verbose)
marks += partial * val**2
conn.send(marks)
return
except KeyError:
print("WARNING: could not load resplit table from student")
conn.send(total * val**2)
def check_optimal(conn, verbose):
result, refobj = asst2.load_result('optimal')
val = asst2.similarity(result, refobj, verbose)
if val >= cutoff:
conn.send(math.sqrt(val)*total)
else:
conn.send(0)
def check_hit(conn, verbose):
result, refobj = asst2.load_result('hit')
val = asst2.similarity(result, refobj, verbose)
conn.send(total * val**2)
def check_strategy(conn, verbose):
result, refobj = asst2.load_result('strategy')
val = asst2.similarity(result, refobj, verbose)
conn.send(total * val**2)