def main(stdscr, model_path: str, num: int, result_logger: ResultLogger):
terminal = Terminal(stdscr, create_char_map())
terminal.init_window(FIELD_WIDTH, FIELD_ROW)
program_set = SelectionsortProgramSet()
Selectionsort_env = SelectionsortEnv(FIELD_ROW, FIELD_WIDTH, FIELD_DEPTH)
questions = create_questions(num)
if DEBUG_MODE:
questions = questions[-num:]
system = RuntimeSystem(terminal=terminal)
npi_model = SelectionsortNPIModel(system, model_path, program_set)
npi_runner = TerminalNPIRunner(terminal, npi_model, recording=False)
npi_runner.verbose = DEBUG_MODE
correct_count = wrong_count = 0
for data in questions:
Selectionsort_env.reset()
try:
run_npi(Selectionsort_env, npi_runner, program_set.SELECTIONSORT,
data)
if data['correct']:
correct_count += 1
else:
wrong_count += 1
except StopIteration:
wrong_count += 1
pass
result_logger.write(data)
terminal.add_log(data)
return correct_count, wrong_count
def question_test(self, selectionsort_env, npi_runner, question):
selectionsort_env.reset()
self.reset()
try:
run_npi(selectionsort_env, npi_runner, self.program_set.SELECTIONSORT, question)
if question['correct']:
return True
except StopIteration:
pass
return False
def main(stdscr, filename: str, num: int, result_logger: ResultLogger):
terminal = Terminal(stdscr, create_char_map())
terminal.init_window(FIELD_WIDTH, FIELD_ROW)
program_set = SelectionsortProgramSet()
selectionsort_env = SelectionsortEnv(FIELD_ROW, FIELD_WIDTH, FIELD_DEPTH)
questions = create_questions(number=num)
teacher = SelectionsortTeacher(program_set)
npi_runner = TerminalNPIRunner(terminal, teacher)
npi_runner.verbose = DEBUG_MODE
steps_list = []
f = open("debug_log.csv", "w")
for data in questions:
selectionsort_env.reset()
q = copy(data)
run_npi(selectionsort_env, npi_runner, program_set.SELECTIONSORT, data)
steps_list.append({"q": q, "steps": npi_runner.step_list})
for step in npi_runner.step_list:
f.write("{},".format(step.input.env[0]))
f.write("{},".format(step.input.env[1]))
f.write("{},".format(step.input.env[2]))
f.write("{},".format(step.input.env[3]))
f.write("{},".format(step.input.env[4]))
f.write("{},".format(step.input.env[5]))
f.write("{},".format(step.input.arguments))
f.write("{},".format(step.input.program))
f.write("{},".format(step.output.program))
f.write("{},".format(step.output.r))
f.write("{},".format(step.output.arguments))
f.write("{}\n".format(q))
result_logger.write(data)
terminal.add_log(data)
f.close()
if filename:
with open(filename, 'wb') as f:
pickle.dump(steps_list, f, protocol=pickle.HIGHEST_PROTOCOL)