code: def generate_inputs(self):
      x = numpy.asarray(numpy.random.randn(*self.shape)).astype(
          self.in_type
      )
      # The result of a cast from a negative floating-point number to
      # an unsigned integer is not specified. Avoid testing that condition.
      float_to_uint = issubclass(
          self.in_type, numpy.floating
      ) and issubclass(self.out_type, numpy.unsignedinteger)
      if float_to_uint:
          x[x < 0] *= -1
      return (x,)
  
imports: import unittest
  import numpy
  import chainer
  from chainer import functions
  from chainer import testing
  from chainer.testing import attr
  import chainerx
label_desc: Use image node_id 3 for calling the TestCast obj's underlying member method code with example usage: obj.generate_inputs() and returns: x