code: def load_sparse_csr(filename):
      loader = np.load(filename + ".npz", allow_pickle=True)
      matrix = sp.csr_matrix(
          (loader["data"], loader["indices"], loader["indptr"]),
          shape=loader["shape"],
      )
      return (
          matrix,
          loader["metadata"].item(0) if "metadata" in loader else None,
      )
  
file_path: ParlAI/parlai/agents/tfidf_retriever/utils.py
imports: import regex
  import unicodedata
  import numpy
  import scipy.sparse
  from sklearn.utils import murmurhash3_32
label_desc: Use image node_id 2 for calling a global function with example usage: load_sparse_csr(filename) and returns: matrix,  unknown