code: def time_frobenius_norm(self, size, contig, module):
      if module == "numpy":
          nl.norm(self.a)
      else:
          sl.norm(self.a)
  
imports: import math
  import numpy.linalg
  import numpy
  from numpy.testing import assert_
  from numpy.random import rand
  from .common import Benchmark, safe_import
label_desc: Use image node_id 4 for calling the Norm obj's underlying member method code with example usage: obj.time_frobenius_norm(size, contig, module) without return types