def clean():
logger.info("Cleaning...")
# Escalate permissions to root (sudo) if not ran as root
# This is required for creating the chroot jails and running the solutions.
escalate_permissions()
# Clean and delete the sandbox directories for each of the workers
Workers.clean()
def __init__(self, input_data):
self.input = input_data
self.Worker = Workers()
encoders = [
load('processing/binaries/part_of_speech_encoder.joblib'),
load('processing/binaries/gender_encoder.joblib'),
load('processing/binaries/quantity_encoder.joblib'),
load('processing/binaries/case_encoder.joblib')
]
self.encoders = encoders
class DataPreprocessor():
def __init__(self, input_data):
self.input = input_data
self.Worker = Workers()
encoders = [
load('processing/binaries/part_of_speech_encoder.joblib'),
load('processing/binaries/gender_encoder.joblib'),
load('processing/binaries/quantity_encoder.joblib'),
load('processing/binaries/case_encoder.joblib')
]
self.encoders = encoders
def _to_df(self, string):
lasts = np.array([
0 if word[-1] in ['.', '!', '?'] else 1 for word in string.split()
])
lasts = (lasts == 0).astype('int64')
words = pd.DataFrame(string.split(), columns=['word'])
lasts = pd.DataFrame(lasts, columns=['last_in_sentence'])
self.df_for_model = pd.concat([words, lasts], axis=1)
self.words = df_words
def _prepare_for_model(self, df):
w2v_columns = [f'w2v_{i}' for i in range(1, 301)]
df['first_in_sentence'] = self.Worker.is_first(df['word'].tolist())
df['is_capital'] = df['word'].apply(self.Worker.is_capital)
df['part_of_speech'] = df['word'].apply(self.Worker.get_pos)
df['gender'] = df['word'].apply(self.Worker.get_gender)
df['number'] = df['word'].apply(self.Worker.get_number)
df['case'] = df['word'].apply(self.Worker.get_case)
df['len'] = df['word'].apply(len)
df['word'] = df['word'].apply(self.Worker.normalize_text)
df = df.join(
pd.DataFrame(df['word'].apply(self.Worker.vectorize).tolist(),
columns=w2v_columns))
df = df.drop(columns=['word'])
new_columns = ['part_of_speech', 'gender', 'number', 'case']
for encoder, name in zip(self.encoders, new_columns):
df[name] = encoder.transform(df[name])
df = self.Worker.create_neighbours(df.values)
def prepare(self):
if string[-1] != '.':
string = string + '.'
self._to_df(self.input)
self._prepare_for_model(self.df_for_model)
return self.df_for_model, self.df_words
class PlayerSide:
def __init__(self, GS):
self.workers = Workers(GS)
self.resources = {"Rock" : 50,
"Metal" : 75,
"Crystal" : 5}
def tick(self):
self.workers.tick()
def blit(self, screen):
self.workers.blit(screen)
def init():
logger.info("Initializing...")
# Escalate permissions to root (sudo) if not ran as root
# This is required for creating the chroot jails and running the solutions.
escalate_permissions()
# Set the current working dir to the root of the grader
# not matter when we run the script from
root_dir = os.path.dirname(os.path.abspath(__file__))
if os.getcwd() != root_dir:
logger.info("Setting working directory to '{}'.".format(root_dir))
os.chdir(root_dir)
# Create the sandbox directories for each of the workers and prepare them
# to be chrooted (mounting /bin, /dev, /lib and similar directories inside)
Workers.init()
logger.info("Initialization completed successfully!")
people = People('人类', '未知', 10, '中国')
print('以下为People类的数据')
people.eat()
people.sleep()
people.work()
print(people)
print('---------------我是一条分隔线------------------')
student = Student('学生', '未知', 18, '中国', '城西银泰', 1)
print('以下为Student类的数据')
student.work()
print(student)
print('---------------我是一条分隔线------------------')
worker = Workers('工人', '男', 30, '中国', '小码王', 3)
print('以下是Workers类的数据')
worker.work()
print(worker)
print('---------------我是一条分隔线------------------')
studentlead = StudentLead('学生干部', '女', 18, '中国', '城西银泰', 10, '学生会主席')
print('以下是StudentLead类的数据')
studentlead.meet()
print(studentlead)
def __init__(self, GS):
self.workers = Workers(GS)
self.resources = {"Rock" : 50,
"Metal" : 75,
"Crystal" : 5}
