code: def test_float_size(self):
      ex = ExVectorialFunction()
      x0 = np.array([1.0, 0.0]).astype(np.float32)
  
      vf = VectorFunction(
          ex.fun,
          x0,
          ex.jac,
          ex.hess,
          None,
          None,
          (-np.inf, np.inf),
          None,
      )
  
      res = vf.fun(x0)
      assert res.dtype == np.float32
  
      res = vf.jac(x0)
      assert res.dtype == np.float32
  
imports: import pytest
  import numpy
  from numpy.testing import TestCase, assert_array_almost_equal, assert_array_equal, assert_, assert_allclose, assert_equal
  from scipy.sparse import csr_matrix
  from scipy.sparse.linalg import LinearOperator
  from scipy.optimize._differentiable_functions import ScalarFunction, VectorFunction, LinearVectorFunction, IdentityVectorFunction
  from scipy.optimize import rosen, rosen_der, rosen_hess
  from scipy.optimize._hessian_update_strategy import BFGS
label_desc: Use image node_id 4 for calling the TestVectorialFunction obj's underlying member method code with example usage: obj.test_float_size() without return types