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_dealer(conn, verbose):
result, refobj = asst2.load_result('dealer')
mark = total
for key in _DEALER_CODE:
if mark <= 0:
print("too many errors. exiting.")
mark = 0
break
if key not in result:
print("missing table for {}".format(key))
mark -= 1
continue
stu = result[key]
ans = refobj[key]
sk = tuple(stu.keys())
ak = tuple(ans.keys())
if sk != ak:
print("key set mismatch for table {}: {} vs. {}".format(
key, sk, ak))
mark -= 1
continue
for pts in ak:
if not asst2.isclose(stu[pts], ans[pts]):
print("probability mismatch for table {}, score {}:" \
" {} vs. {}".format(key, pts, stu[pts], ans[pts]))
mark -= 1
break
conn.send(int(mark))
def check_dealer(conn, verbose):
result, refobj = asst2.load_result('dealer')
mark = total
for key in _DEALER_CODE:
if mark <= 0:
print("too many errors. exiting.")
mark = 0
break
if key not in result:
print("missing table for {}".format(key))
mark -= 1
continue
stu = result[key]
ans = refobj[key]
sk = sorted(stu.keys())
ak = sorted(ans.keys())
pairs = zip(ak, sk)
ski = list(map(int, sk))
if ski != ak:
print("key set mismatch for table {}: {} vs. {}".format(
key, ski, ak))
mark -= 1
continue
for ap, sp in pairs:
if not asst2.isclose(stu[sp], ans[ap]):
print("probability mismatch for table {}, score {}:" \
" {} vs. {}".format(key, ap, stu[sp], ans[ap]))
mark -= 1
break
conn.send(int(mark))
def check_advantage(conn, verbose):
result, refobj = asst2.load_result('advantage')
diff = abs(refobj - result)
if asst2.isclose(diff, 0):
conn.send(total)
return
if diff < cutoff:
if verbose:
print("Almost correct player advantage.")
mark = int(total * (cutoff - diff) / cutoff)
else:
if verbose:
print("Incorrect player advantage.")
mark = 0
conn.send(mark)
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)
