code: def get_data(self, dtype1, dtype2):
      if dtype2 is None or dtype1.itemsize >= dtype2.itemsize:
          length = self.size // dtype1.itemsize
      else:
          length = self.size // dtype2.itemsize
  
      # Assume that the base array is well enough aligned for all inputs.
      arr1 = np.empty(length, dtype=dtype1)
      assert arr1.flags.c_contiguous
      assert arr1.flags.aligned
  
      values = [random.randrange(-128, 128) for _ in range(length)]
  
      for i, value in enumerate(values):
          # Use item assignment to ensure this is not using casting:
          if value < 0 and dtype1.kind == "u":
              # Manually rollover unsigned integers (-1 -> int.max)
              value = value + np.iinfo(dtype1).max + 1
          arr1[i] = value
  
      if dtype2 is None:
          if dtype1.char == "?":
              values = [bool(v) for v in values]
          return arr1, values
  
      if dtype2.char == "?":
          values = [bool(v) for v in values]
  
      arr2 = np.empty(length, dtype=dtype2)
      assert arr2.flags.c_contiguous
      assert arr2.flags.aligned
  
      for i, value in enumerate(values):
          # Use item assignment to ensure this is not using casting:
          if value < 0 and dtype2.kind == "u":
              # Manually rollover unsigned integers (-1 -> int.max)
              value = value + np.iinfo(dtype2).max + 1
          arr2[i] = value
  
      return arr1, arr2, values
  
imports: import pytest
  import textwrap
  import enum
  import random
  import ctypes
  import numpy
  from numpy.lib.stride_tricks import as_strided
  from numpy.testing import assert_array_equal
  from numpy.core._multiarray_umath import _get_castingimpl
label_desc: Use image node_id 1 for calling the TestCasting obj's underlying member method code with example usage: obj.get_data(dtype1, dtype2) and returns: arr1,  arr2,  values, arr1,  values