code: def setup(self, shape, narrays, ndtype):
      self.xarg = [
          np.random.ranf(shape[0] * shape[1]).reshape(shape)
          for x in range(narrays)
      ]
      self.xarg = [x.astype(ndtype) for x in self.xarg]
      if ndtype.startswith("complex"):
          [x + np.random.ranf(1) * 1j for x in self.xarg]
  
imports: from .common import Benchmark, get_squares_, TYPES1, DLPACK_TYPES
  import numpy
  from collections import deque
label_desc: Use image node_id 1 for calling the ConcatenateStackArrays obj's underlying member method code with example usage: obj.setup(shape, narrays, ndtype) without return types