code: def generate_inputs(self):
      (in_dtype,) = self.in_dtypes
      if isinstance(self.input, numpy.ndarray):
          return (self.input.astype(in_dtype),)
      if self.input == "random":
          return (array_utils.uniform(self.shape, in_dtype),)
      if isinstance(self.input, (bool, int, float)):
          return (numpy.full(self.shape, self.input, dtype=in_dtype),)
      assert False
  
imports: import unittest
  import numpy
  import chainerx
  from chainerx_tests import array_utils
  from chainerx_tests import dtype_utils
label_desc: Use image node_id 2 for calling the UnaryMathTestBase obj's underlying member method code with example usage: obj.generate_inputs() and returns: self, array_utils, numpy