input: Write a function to convert a dictionary to a numpy array with specified data types.
  assert np.array_equal(convert_dict_to_numpy({'name': 'Alice', 'age': 25, 'nationality': 'USA'}), np.array([('Alice', 25, 'USA')], dtype=[('name', 'U20'), ('age', 'i4'), ('nationality', 'U10')]))
  assert np.array_equal(convert_dict_to_numpy({'name': 'Bob', 'age': 30, 'nationality': 'UK'}), np.array([('Bob', 30, 'UK')], dtype=[('name', 'U20'), ('age', 'i4'), ('nationality', 'U10')]))
  assert np.array_equal(convert_dict_to_numpy({'name': 'Charlie', 'age': 35, 'nationality': 'Canada'}), np.array([('Charlie', 35, 'Canada')], dtype=[('name', 'U20'), ('age', 'i4'), ('nationality', 'U10')]))
output: import numpy as np
  
  def convert_dict_to_numpy(d):
      dtype = [('name', 'U20'), ('age', 'i4'), ('nationality', 'U10')]
      values = tuple(d[key] for key in ['name', 'age', 'nationality'])
      return np.array([values], dtype=dtype)