code: def _test_unary(unary_op, x_range):
      xi = int8("xi")
      xf = float32("xf")
  
      ei = unary_op(xi)
      fi = theano.function([xi], ei)
  
      ef = unary_op(xf)
      ff = theano.function([xf], ef)
  
      for x_val in x_range:
          outi = fi(x_val)
          outf = ff(x_val)
  
          assert outi.dtype == outf.dtype, "incorrect dtype"
          assert np.allclose(outi, outf), "insufficient precision"
  
imports: from __future__ import absolute_import, print_function, division
  import unittest
  import numpy
  import theano
  from theano.gof import FunctionGraph
  from theano import gof
  from theano.tests import unittest_tools
  from theano.scalar.basic import floats, float16, float32, float64, ints, int8, int32, complex64, uint8, ComplexError, IntDiv, TrueDiv, Composite, add, div_proxy, and_, eq, neq, invert, mul, Scalar, InRange, cast, constant, switch
  from theano.scalar.basic import true_div, inv, log, log2, log10, log1p, exp, exp2, expm1, sqrt, deg2rad, rad2deg, cos, arccos, sin, arcsin, tan, arctan, arctan2, cosh, arccosh, sinh, arcsinh, tanh, arctanh
label_desc: Use image node_id 1 for calling the test_upgrade_to_float obj's underlying member method code with example usage: obj._test_unary(unary_op, x_range) without return types