code: def test_fit_1():
      X = np.array([[1], [2], [3]])
      est = BlankRegressor()
      assert_raises(
          TypeError,
          "fit() missing 1 required positional argument: 'y'",
          est.fit,
          X,
      )
  
file_path: mlxtend/mlxtend/_base/tests/test_regressor.py
imports: import numpy
  from mlxtend._base import _BaseModel, _Regressor
  from mlxtend.utils import assert_raises
label_desc: Use image node_id 5 for calling a global function with example usage: test_fit_1() without return types