code: def test_basic(self, type1, type2, converter):
      x = TensorType(dtype=type1, shape=(None,))()
      y = converter(x)
      f = function([In(x, strict=True)], y)
      a = np.arange(10, dtype=type1)
      b = f(a)
      assert np.array_equal(b, np.arange(10, dtype=type2))
  
file_path: pytensor/tests/tensor/test_casting.py
imports: import numpy
  import pytest
  import pytensor
  from pytensor import function
  from pytensor.compile.io import In
  from pytensor.misc.safe_asarray import _asarray
  from pytensor.tensor.basic import _convert_to_complex64, _convert_to_complex128, _convert_to_float32, _convert_to_float64, _convert_to_int8, _convert_to_int16, _convert_to_int32, _convert_to_int64, cast
  from pytensor.tensor.type import TensorType, bvector, dmatrix, dvector, fvector, ivector, zmatrix
label_desc: Use image node_id 3 for calling the TestCasting obj's underlying member method code with example usage: obj.test_basic(type1, type2, converter) without return types