make mypy happy

Author: Juan Orduz

pymc/gp/hsgp_approx.py

@@ -696,9 +696,9 @@ def prior_linearized(self, X: TensorLike):
         psd = self.scale * self.cov_func.power_spectral_density_approx(J)
         return (phi_cos, phi_sin), psd
 
-    def prior(
+    def prior(  # type: ignore[override]
         self, name: str, X: TensorLike, dims: str | None = None, hsgp_coeffs_dims: str | None = None
-    ):  # type: ignore[override]
+    ):
         R"""
         Return the (approximate) GP prior distribution evaluated over the input locations `X`.