text: import csv
  
  import numpy as np
  
  from os.path import join
  
  
  def load_data(module_path, data_file_name, is_classification=True):
      with open(join(module_path, 'data', data_file_name)) as csv_file:
          data_file = csv.reader(csv_file)
          temp = next(data_file)
          n_samples = int(temp[0])
          n_features = int(temp[1])
          data = np.empty((n_samples, n_features))
  
          if is_classification:
              target_dtype = int
          else:
              target_dtype = np.float64
          target = np.empty((n_samples,), dtype=target_dtype)
  
          for i, ir in enumerate(data_file):
              data[i] = np.asarray(ir[:-1], dtype=np.float64)
              target[i] = np.asarray(ir[-1], dtype=target_dtype)
  
          return data, target
  