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}