code: def length_normalize(matrix):
      """Length normalize the matrix
  
      Args:
          matrix (np.ndarray): Input matrix that needs to be normalized
  
      Returns:
          Normalized matrix
      """
      norms = np.sqrt(np.sum(matrix**2, axis=1))
      norms[norms == 0] = 1
      return matrix / norms[:, np.newaxis]
  
imports: import numpy
  from sklearn.decomposition import PCA
label_desc: Use image node_id 1 for calling a global function with example usage: length_normalize(matrix) and returns: unknown