input: Write a python function to generate a random vector of 10 elements using NumPy and a seed of 123.
  assert np.allclose(generate_random_vector(), [0.69646919, 0.28613933, 0.22685145, 0.55131477, 0.71946897, 0.42310646, 0.9807642, 0.68482974, 0.4809319, 0.39211752])
  assert len(generate_random_vector()) == 10
  assert isinstance(generate_random_vector(), np.ndarray)
output: import numpy as np
  
  def generate_random_vector():
      np.random.seed(123)
      return np.random.rand(10)