code: def testResultTypePythonFloat(self, input_dtype, res_dtype):
      with DtypeConversionTestEnv("all"):
          t_input = (
              constant_op.constant(2, dtype=input_dtype)
              if input_dtype != dtypes.bool
              else constant_op.constant(True)
          )
          self.assertEqual(
              flexible_dtypes.result_type(1.0, t_input), res_dtype
          )
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import extension_type
  from tensorflow.python.framework import flexible_dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import weak_tensor
  from tensorflow.python.ops import variables
  from tensorflow.python.ops import weak_tensor_test_util
  from tensorflow.python.platform import test
label_desc: Use image node_id 5 for calling the DtypesUtilTest obj's underlying member method code with example usage: obj.testResultTypePythonFloat(input_dtype, res_dtype) without return types