def submit(name, language, program, filename, tests, time_limit):
n = len(tests)
testlist = []
program_file = file('files/temp/programs/' + filename,
'w+b') #Temp. File for the program
program_file.write(program)
for i in range(n):
input_file = file('files/temp/inputs/input_file-%d.in' % (i + 1),
'w+b')
output_file = file('files/temp/outputs/output_file-%d.out' % (i + 1),
'w+b')
input_file.write(
tests[i]['input']
) #Writing data from the list of input/output files supplied
output_file.write(tests[i]['output']) #to temp files and
testlist.append({
'input': get_path(input_file),
'output': get_path(output_file)
}) #Getting their path to be supplied to evaluator.
input_file.close()
output_file.close()
program_file.close()
result = evaluate.evaluate(language, get_path(program_file), testlist,
time_limit)
result['successful'] = True
result['marks'] = 0
if not result['status'] == 'errors':
for (i, case) in enumerate(result['status']):
if case == 'correct':
test = tests[i]
time_taken = result['executiontime'][i]
if time_taken > test['time_limit_soft']:
exceed_time = time_taken - test['time_limit_soft']
max_exceed_time = test['time_limit'] - test[
'time_limit_soft']
result['marks'] += round(
test['marks'] *
((max_exceed_time - exceed_time) / max_exceed_time), 2)
else:
result['marks'] += test['marks']
else:
result['successful'] = False
result['error'] = case or 'Runtime Exceeded'
break
else:
result['error'] = 'Compilation Error'
result['successful'] = False
if not result['successful']:
result['marks'] = 0
return result
def submit(name, language,program, tests):
##
n = len(tests)
testlist = []
timelimit = 15
program_file = file('files/program.'+language, 'w+b') #Temp. File for the program
program_file.write(program)
for i in range(n):
input_file = file('files/input_file-%d.in' %(i+1), 'w+b')
output_file = file('files/output_file-%d.out' %(i+1), 'w+b')
input_file.write(tests[i]['input']) #Writing data from the list of input/output files supplied
output_file.write(tests[i]['output']) #to temp files and
testlist.append({'input':get_path(input_file),'output':get_path(output_file)}) #Getting their path to be supplied to evaluator.
input_file.close()
output_file.close()
program_file.close()
result = evaluate.evaluate('C',get_path(program_file), testlist, timelimit)
return result
def submit(name, language,program,filename, tests, time_limit):
n = len(tests)
testlist = []
print filename
program_file = file('files/temp/programs/'+filename, 'w+b') #Temp. File for the program
program_file.write(program)
for i in range(n):
input_file = file('files/temp/inputs/input_file-%d.in' %(i+1), 'w+b')
output_file = file('files/temp/outputs/output_file-%d.out' %(i+1), 'w+b')
input_file.write(tests[i]['input']) #Writing data from the list of input/output files supplied
output_file.write(tests[i]['output']) #to temp files and
testlist.append({'input':get_path(input_file),'output':get_path(output_file)}) #Getting their path to be supplied to evaluator.
input_file.close()
output_file.close()
program_file.close()
result = evaluate.evaluate(language, get_path(program_file), testlist, time_limit)
result['successful'] = True
result['marks'] = 0
if not result['status']=='errors':
for (i, case) in enumerate(result['status']):
if case == 'correct':
test = tests[i]
time_taken = result['executiontime'][i]
if time_taken > test['time_limit_soft']:
exceed_time = time_taken - test['time_limit_soft']
max_exceed_time = test['time_limit'] - test['time_limit_soft']
result['marks'] += round(test['marks']*((max_exceed_time - exceed_time)/max_exceed_time), 2)
else:
result['marks'] += test['marks']
else:
result['successful'] = False
result['error']=case or 'Runtime Exceeded'
break
else:
result['error'] = 'Compilation Error'
result['successful'] = False
if not result['successful']:
result['marks'] = 0
return result
'RPDQ': SGDClassifier(learning_rate='constant',
class_weight={-1: 1, 1: 1},
query_strategy='RPDQ',
query_weight=55),
'AQ': SGDClassifier(learning_rate='constant',
class_weight={-1: 1, 1: 1},
query_strategy='AQ',
query_weight={-1: 40, 1: 60}),
'BAAQ': SGDClassifier(learning_rate='constant',
class_weight={-1: 1, 1: 1},
query_strategy='BAAQ',
query_beta=1),
'OA3': OA3Classifier(eta=0.1,
class_weight={-1: 0.1, 1: 0.9},
query_weight={-1: 10, 1: 40},
gamma=1),
'OACSL': OACSL(base_model=SGDClassifier(learning_rate='constant',
eta0=0.1,
query_strategy='BAAQ',
query_beta=1),
measurement=measurement,
window_size=10,
eta_rho=0.1),
}
evaluate(models=imbalance_budget_models,
data_set_path="..\\data\\ibcdhps",
log_save_path="..\\log",
measurement=measurement,
test_times=1)
