code: def test_dtype(self, loc, dtype):
      # Test that dtypes are preserved
  
      loc = dtype(loc)
  
      def f(x, loc):
          assert x.dtype == dtype
          return ((x - loc) ** 2).astype(dtype)
  
      res = _chandrupatla_minimize(
          f, dtype(-3), dtype(1), dtype(5), args=(loc,)
      )
      assert res.x.dtype == dtype
      assert_allclose(res.x, loc, rtol=np.sqrt(np.finfo(dtype).eps))
  
imports: import pytest
  import numpy
  from numpy.testing import assert_allclose, assert_equal, assert_array_less
  from scipy import stats
  import scipy.optimize._chandrupatla
  from scipy.optimize._chandrupatla import _chandrupatla_minimize
  from itertools import permutations
label_desc: Use image node_id 8 for calling the TestChandrupatlaMinimize obj's underlying member method code with example usage: obj.test_dtype(loc, dtype) and returns: unknown