def main(stdscr, output_filename, filename: str, model_path: str):
system = RuntimeSystem()
program_set = MultiplicationProgramSet()
with open(filename, 'rb') as f:
steps_list = pickle.load(f)
for step in steps_list:
for s in step["steps"]:
print(s)
input("press enter to continue")
## for debug purpose
terminal = Terminal(stdscr, create_char_map())
terminal.init_window(FIELD_WIDTH, FIELD_ROW)
npi_model = MultiplicationNPIModel(system, terminal, model_path, program_set)
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 = BubblesortProgramSet()
Bubblesort_env = BubblesortEnv(FIELD_ROW, FIELD_WIDTH, FIELD_DEPTH)
questions = create_questions(num)
if DEBUG_MODE:
questions = questions[-num:]
system = RuntimeSystem(terminal=terminal)
npi_model = BubblesortNPIModel(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:
Bubblesort_env.reset()
try:
run_npi(Bubblesort_env, npi_runner, program_set.BUBBLESORT, 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 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 = MultiplicationProgramSet()
multiplyition_env = MultiplicationEnv(FIELD_ROW, FIELD_WIDTH, FIELD_DEPTH)
questions = create_questions(num)
if DEBUG_MODE:
questions = questions[-num:]
system = RuntimeSystem(terminal=terminal)
npi_model = MultiplicationNPIModel(system, terminal, 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:
multiplyition_env.reset()
run_npi(multiplyition_env, npi_runner, program_set.ADD, data)
result_logger.write(data)
terminal.multiply_log(data)
if data['correct']:
correct_count += 1
else:
wrong_count += 1
return correct_count, wrong_count
def main(stdscr, filename: str, num_of_questions: int,
result_logger: ResultLogger):
terminal = Terminal(stdscr, create_char_map())
terminal.init_window(FIELD_WIDTH, FIELD_ROW)
program_set = MultiplicationProgramSet()
multiplication_env = MultiplicationEnv(FIELD_ROW, FIELD_WIDTH, FIELD_DEPTH,
terminal)
questions = create_questions(num_of_questions)
teacher = MultiplicationTeacher(program_set, terminal)
npi_runner = TerminalNPIRunner(terminal, teacher, result_logger)
npi_runner.verbose = DEBUG_MODE
steps_list = []
for data in questions:
multiplication_env.reset()
q = copy(data)
run_npi(multiplication_env, npi_runner, program_set.MUL, data)
steps_list.append({"q": q, "steps": npi_runner.step_list})
result_logger.write(data)
terminal.add_log(data)
if filename:
with open(filename, 'wb') as f:
pickle.dump(steps_list, f, protocol=pickle.HIGHEST_PROTOCOL)
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 = AdditionProgramSet()
addition_env = AdditionEnv(FIELD_ROW, FIELD_WIDTH, FIELD_DEPTH)
questions = create_questions(num)
teacher = AdditionTeacher(program_set)
npi_runner = TerminalNPIRunner(terminal, teacher)
npi_runner.verbose = DEBUG_MODE
steps_list = []
for data in questions:
addition_env.reset()
q = copy(data)
run_npi(addition_env, npi_runner, program_set.ADD, data)
steps_list.append({"q": q, "steps": npi_runner.step_list})
result_logger.write(data)
terminal.add_log(data)
if filename:
with open(filename, 'wb') as f:
pickle.dump(steps_list, f, protocol=pickle.HIGHEST_PROTOCOL)
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 = AdditionProgramSet()
addition_env = AdditionEnv(FIELD_ROW, FIELD_WIDTH, FIELD_DEPTH)
questions = create_questions(num)
if DEBUG_MODE:
questions = questions[-num:]
system = RuntimeSystem(terminal=terminal)
npi_model = AdditionNPIModel(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:
addition_env.reset()
run_npi(addition_env, npi_runner, program_set.ADD, data)
result_logger.write(data)
terminal.add_log(data)
if data["correct"]:
correct_count += 1
else:
wrong_count += 1
return correct_count, wrong_count
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 = BubblesortProgramSet()
Bubblesort_env = BubblesortEnv(FIELD_ROW, FIELD_WIDTH, FIELD_DEPTH)
questions = create_questions(num)
if DEBUG_MODE:
questions = questions[-num:]
system = RuntimeSystem(terminal=terminal)
npi_model = BubblesortNPIModel(system, model_path, program_set)
npi_runner = TerminalNPIRunner(terminal, npi_model, recording=False)
npi_runner.verbose = DEBUG_MODE
correct_count = wrong_count = 0
slot_num = 10 # 10 means 10 slots, each
# slot's size is 0.1
for i in range(slot_num):
arr.append([])
# Put array elements in different buckets
for j in x:
index_b = int(slot_num * j)
arr[index_b].append(j)
# Sort individual buckets
for i in range(slot_num):
Bubblesort_env.reset()
try:
run_npi(Bubblesort_env, npi_runner, program_set.BUBBLESORT, 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
# concatenate the result
k = 0
for i in range(slot_num):
for j in range(len(arr[i])):
x[k] = arr[i][j]
k += 1
return x
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 = BubblesortProgramSet()
bubblesort_env = BubblesortEnv(FIELD_ROW, FIELD_WIDTH, FIELD_DEPTH)
questions = create_questions(number=num)
teacher = BubblesortTeacher(program_set)
npi_runner = TerminalNPIRunner(terminal, teacher)
npi_runner.verbose = DEBUG_MODE
steps_list = []
f = open("debug_log.csv", "w")
for data in questions:
bubblesort_env.reset()
q = copy(data)
run_npi(bubblesort_env, npi_runner, program_set.BUBBLESORT, 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)
