code: def test_defaults():
      rng = np.random.RandomState(123)
      x = rng.normal(loc=5.0, size=100)
      original, std_err, ci_bounds = bootstrap(
          x, func=np.mean, seed=123
      )
      assert round(original, 2) == 5.03
      assert round(std_err, 2) == 0.11
      assert round(ci_bounds[0], 2) == 4.80
      assert round(ci_bounds[1], 2) == 5.26
  
imports: import numpy
  from mlxtend.evaluate import bootstrap
  from mlxtend.utils import assert_raises
label_desc: Use image node_id 1 for calling a global function with example usage: test_defaults() without return types