code: def func(self, xp, a):
      (in_dtype,) = self.in_dtypes
      if xp is numpy:
          ba = self.beta * a
          beta_inv = 1.0 / self.beta
          y = (
              numpy.fmax(ba, 0)
              + numpy.log1p(numpy.exp(-numpy.fabs(ba)))
          ) * beta_inv
          return y
      elif self.beta_range is Unspecified:
          return xp.softplus(a)
      else:
          return xp.softplus(a, self.beta)
  
imports: import random
  import chainer
  import numpy
  import chainerx
  from chainer import utils
  from chainerx_tests import array_utils
  from chainerx_tests import dtype_utils
  from chainerx_tests import op_utils
label_desc: Use image node_id 2 for calling the TestSoftplus obj's underlying member method code with example usage: obj.func(xp, a) and returns: y, xp, xp