code: def time_expm_multiply(self):
      # computing only column', j, 'of expm of the sparse matrix
      v = np.zeros(self.n, dtype=float)
      v[self.j] = 1
      A_expm_col_j = expm_multiply(self.A, v)
      A_expm_col_j[self.i]
  
file_path: scipy/benchmarks/benchmarks/sparse_linalg_expm.py
imports: import math
  import numpy
  from .common import Benchmark, safe_import
label_desc: Use image node_id 2 for calling the ExpmMultiply obj's underlying member method code with example usage: obj.time_expm_multiply() without return types