code: def test_parametrization_drop_first(
      self, model, cov_func, X1, drop_first
  ):
      n_basis = 100
      with model:
          gp = pm.gp.HSGP(
              m=[n_basis],
              c=4.0,
              cov_func=cov_func,
              drop_first=drop_first,
          )
          gp.prior("f1", X1)
  
          n_coeffs = model.f1_hsgp_coeffs_.type.shape[0]
          if drop_first:
              assert (
                  n_coeffs == n_basis - 1
              ), f"one basis vector should have been dropped, {n_coeffs}"
          else:
              assert (
                  n_coeffs == n_basis
              ), "one was dropped when it shouldn't have been"
  
imports: import arviz
  import numpy
  import pytensor
  import pytensor.tensor
  import pytest
  from scipy.spatial import distance
  import pymc
label_desc: Use image node_id 4 for calling the TestHSGP obj's underlying member method code with example usage: obj.test_parametrization_drop_first(model, cov_func, X1, drop_first) without return types