code: def excepts(x, y, assume_unique=False):
      """Removing elements in array y from array x"""
      mask = np.in1d(x, y, assume_unique=assume_unique, invert=True)
      x_excepts_y = x[mask]
  
      return x_excepts_y
  
file_path: cornac/cornac/utils/common.py
imports: import numbers
  import numpy
  import scipy.sparse
  from .fast_sparse_funcs import inplace_csr_row_normalize_l1, inplace_csr_row_normalize_l2
label_desc: Use image node_id 5 for calling a global function with example usage: excepts(x, y, assume_unique) and returns: x_excepts_y